diff --git a/employerExport.csv b/employerExport.csv index c97ff76..8b132ab 100644 --- a/employerExport.csv +++ b/employerExport.csv @@ -42,7 +42,7 @@ your existing analytics and AI investments.

-
",1 (416) 641-5290,https://talenthub.vectorinstitute.ai/employers/294575-accenture,https://www.accenture.com/ca-en/careers,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294575/Acc_Logo_Black_Purple_RGB.PNG,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294575/Co-working_space.PNG,,F3CrdFBYWSs,"Toronto, ON, Canada","40 King St. West, ",Toronto,Ontario,,Canada,2019-09-25 21:22:36 UTC,8,,Yes,Professional Services (e.g Consulting),Platinum Industry Sponsor +
",1 (416) 641-5290,https://talenthub.vectorinstitute.ai/employers/294575-accenture,https://www.accenture.com/ca-en/careers,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294575/Acc_Logo_Black_Purple_RGB.PNG,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294575/Co-working_space.PNG,,F3CrdFBYWSs,"Toronto, ON, Canada","40 King St. West, ",Toronto,Ontario,,Canada,2019-09-25 21:22:36 UTC,7,,Yes,Professional Services (e.g Consulting),Platinum Industry Sponsor 945023b8-a127-4842-bda7-c41079e5c079,alowndes@acerta.ca,Acerta Analytics Solutions,"

Acerta’s machine learning platforms leverage automotive assembly and vehicle data to detect the earliest indicators of future product failures. We help automakers optimize quality, safety, and reliability throughout the entire product life cycle, from the assembly line to the finish line.

",4162754288,https://talenthub.vectorinstitute.ai/employers/652028-acerta-analytics-solutions,,https://talenthub.vectorinstitute.ai/uploads/employer/logo/652028/Acerta_logo-black.png,,,,"Kitchener, Ontario, Canada","30 Duke Street West, Suite 605",Kitchener,Ontario,,Canada,2020-12-24 13:36:52 UTC,0,,Yes,Technology (Information and Media),Startup 3fc8e0cf-ac91-4b8f-969c-93976ed39598,evan.ries@achievers.com,Achievers,"

Achievers delivers an Employee Success Platform™ that enables social recognition, which dramatically increases employee engagement and drives business success. Designed specifically to meet the needs of today’s workplace, it empowers employees to recognize each other in real time and aligns them to the goals of the company. With more than 5,000,000 annual recognitions, the Platform inspires brilliant performance in 110 countries. Visit us at www.achievers.com to learn more and join us in our mission to change the way the world works.

",888-622-3343,https://talenthub.vectorinstitute.ai/employers/710416-achievers,https://www.achievers.com,https://talenthub.vectorinstitute.ai/uploads/employer/logo/710416/Achievers_Logo_CMYK_A.jpg,,,,"Toronto, ON, Canada",99 Atlantic Ave.,Toronto,Ontario,,Canada,2021-02-24 19:59:49 UTC,0,Too large - over 600 employees,No,Technology (Information and Media),Not Affiliated addb80de-21d1-4590-90b5-56e65aefaaa0,info@ada.cx,Ada,"

Ada is an AI platform designed for non-technical teams to build and deploy chatbots that can automate answers and actions to customer interactions. Our product currently consists of two main attributes - a chat window for customers to interact with that can be deployed on a website or within a mobile app, and a management console that allows customer interaction teams to create, manage, and analyze all of their chatbot content and conversations. Ada has built its own machine learning API that is used in order to deliver automated answers to millions of end users, and perform other intelligent operations. Our clients include Zoom, Upwork, AirAsia, Mailchimp, and many more.

@@ -180,7 +180,7 @@ c0e1f18d-5c31-477e-b848-b265fa076fce,info@benchsci.ca,BenchSci,"

For biomedica 6d4ef127-7a62-428c-89e6-456d3b81b651,kperumal@biotechsquare.com,Biotech Square,,,https://talenthub.vectorinstitute.ai/employers/933205-biotech-square,,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2021-09-28 14:08:38 UTC,0,Part of the SME initiative,Yes,Health,SME Organization 7d282460-954d-4866-8635-d60747f96880,info@bmocareers.com,BMO Financial Group,"

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good, in Business and Life. Every day, we continue to set our sights higher, inspired by our purpose and energized by the opportunity to create positive change for the customers and communities we serve. At our core, we’re builders – proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank, by assets, in North America, we help our customers make money make sense.

In Canada, in the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows. And, we power our business growth with the use of Data, Analytics & AI with which we have realized significant value. From applied machine learning to intelligent process automation, we offer challenging business and technical problems to stimulate our teams, drive productivity and accelerate our strategic business growth in a fair, transparent, accountable and explainable manner.

-

As we expand the adoption of AI across BMO, our BMO Forward and BMO U learning programs offers training at various competency levels – basic, intermediate and advanced - in partnership with external organizations where needed.

",,https://talenthub.vectorinstitute.ai/employers/294961-bmo-financial-group,https://jobs.bmo.com/ca/en,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294961/BMO-MB_T2_E.png,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294961/BMO-MB_2.jpg,,EubcVDcDxpc,,,,,,,2019-09-26 17:49:05 UTC,7,,Yes,Financial Services,Platinum Industry Sponsor +

As we expand the adoption of AI across BMO, our BMO Forward and BMO U learning programs offers training at various competency levels – basic, intermediate and advanced - in partnership with external organizations where needed.

",,https://talenthub.vectorinstitute.ai/employers/294961-bmo-financial-group,https://jobs.bmo.com/ca/en,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294961/BMO-MB_T2_E.png,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294961/BMO-MB_2.jpg,,EubcVDcDxpc,,,,,,,2019-09-26 17:49:05 UTC,4,,Yes,Financial Services,Platinum Industry Sponsor 2136bce1-6032-493a-ac66-77885e50909a,info@boehringer-ingelheim.com,Boehringer Ingelheim,,,https://talenthub.vectorinstitute.ai/employers/1101043-boehringer-ingelheim,https://www.boehringer-ingelheim.ca/en,https://talenthub.vectorinstitute.ai/uploads/employer/logo/1101043/logo.jpeg,,,,,,,,,,2022-03-03 16:48:30 UTC,0,,Yes,Health,Gold Industry Sponsor 1eb73334-5c19-4aff-b50c-3b7a3bb8ae0d,mi.research@borealisai.com,Borealis AI,"

Borealis AI is RBC’s AI research centre, which builds AI-enabled products using state-of-the-art machine learning and seeks to address the biggest challenges in financial services.

If it exists in tech, it exists at RBC. As Canada’s largest bank, our purpose is to help clients thrive and communities prosper. We apply imagination and insight to cutting-edge technology to create products, services and solutions that improve human experiences.

@@ -207,7 +207,7 @@ d94e3a61-bd41-4518-b103-bc77890f7718,aip@cihi.ca,Canadian Institute for Health I

Better data, better decisions, healthier Canadians: powered by a shared sense of purpose, the highest standards of excellence and trust.

",437-231-7007,https://talenthub.vectorinstitute.ai/employers/863684-canadian-institute-for-health-information,http://www.cihi.ca/careers,https://talenthub.vectorinstitute.ai/uploads/employer/logo/863684/CIHI_logo.JPG,,,,,"495 Richmond Road, #600",,,,,2021-07-13 18:16:29 UTC,0,,Yes,Health,Health Partner ea963a70-3bf0-4709-9eec-8c63654ff7b7,brittany.pearsoll@cnl.ca,Canadian Nuclear Laboratories,"

CNL is Canada’s premier nuclear science and technology organization, and a world leader in developing nuclear technology for peaceful and innovative applications. Using our unique expertise, we are restoring and protecting the environment, we are advancing clean energy technology, and our medical breakthroughs continue to improve the health of people around the world.

",,https://talenthub.vectorinstitute.ai/employers/1564260-canadian-nuclear-laboratories,http://www.cnl.ca,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,286 Plant Road,,,,,2022-11-22 22:53:27 UTC,0,,Yes,Public Administration (i.e Gov't),Ontario Provincial Government -cf906532-58fc-4552-8c7d-ef818b1840db,info@cantire.ca,Canadian Tire,,,https://talenthub.vectorinstitute.ai/employers/1664273-canadian-tire,,https://talenthub.vectorinstitute.ai/uploads/employer/logo/1664273/CT-Brandmark-Standard-Primary-RGW-POS-RGB.png,,,,,,,,,,2023-01-05 22:02:33 UTC,2,,Yes,Retail,Gold Industry Sponsor +cf906532-58fc-4552-8c7d-ef818b1840db,info@cantire.ca,Canadian Tire,,,https://talenthub.vectorinstitute.ai/employers/1664273-canadian-tire,,https://talenthub.vectorinstitute.ai/uploads/employer/logo/1664273/CT-Brandmark-Standard-Primary-RGW-POS-RGB.png,,,,,,,,,,2023-01-05 22:02:33 UTC,1,,Yes,Retail,Gold Industry Sponsor 1dce68fd-d125-4cfe-a274-4aea2ce03efb,aarani.mathialagan@utoronto.ca,CanPath,,416-978-6931,https://talenthub.vectorinstitute.ai/employers/1409741-canpath,https://canpath.ca/,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,"Toronto, ON M5T 3M7, Canada","155 College St, Suite 532",Toronto,Ontario,M5T 3M7,Canada,2022-09-02 15:06:25 UTC,0,CanPath is hosted by the University of Toronto’s Dalla Lana School of Public Health.,Yes,Health,Not Affiliated 0b614a2d-7c2a-4b9f-81a1-f15474859760,info@canvass.io,Canvass Analytics Inc.,"

Canvass AI is a leading provider of AI industrial software. Its patent-pending technology enables intelligent industrial operations by putting AI directly in the hands of plant operators - empowering them with data-driven insights to improve production processes and optimize assets. Developed specifically for the industrial sector, Fortune 5000 companies use Canvass AI to optimize production processes, generate new revenue streams, and reduce energy and operating costs. Funded by Alphabet’s Gradient Ventures, Canvass’ customers include leading manufacturing and energy companies globally. For more information, visit www.canvass.io, follow us on Twitter or LinkedIn.

",,https://talenthub.vectorinstitute.ai/employers/294573-scotiabank,https://www.scotiabank.com/careers/en/careers.html,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294573/S_White_on_red_HEX__Square_.jpg,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294573/66405575_437054320471451_2758986209542799360_o.jpg,,,,,,,,,2019-09-25 21:22:36 UTC,11,,Yes,Financial Services,Platinum Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/294573-scotiabank,https://www.scotiabank.com/careers/en/careers.html,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294573/S_White_on_red_HEX__Square_.jpg,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294573/66405575_437054320471451_2758986209542799360_o.jpg,,,,,,,,,2019-09-25 21:22:36 UTC,9,,Yes,Financial Services,Platinum Industry Sponsor 83792732-b500-41e9-b00f-04f2592e8c17,philippe@seespine.ca,SeeSpine,"

SeeSpine is a software as a medical device for screening and tracking the progression of Adolescent Idiopathic Scoliosis (AIS). Scoliosis is the most prevalent spine deformity found in children and is defined as an abnormal lateral curvature of the spine. SeeSpine comprises a point of care mobile application and an optional patient administration web portal for clinicians. The mobile application employs any smartphone's camera to recreate a scaled three-dimensional model of the torso from a simple video. The video can be taken remotely, at home, most often, by the child's parents. SeeSpine's proprietary software then quantifies the extra-spinal deformities (what we see) and correlates them to the spinal curvature (what we can only see on X-Rays) to predict a Cobb-Angle (degrees of curvature). The scans and subsequent Cobb-Angles can then be securely and remotely sent to the patients treating physician to guide clinical decision-making. SeeSpine’s mobile application can also be used to screen patients for indications of a spinal deformity and provide a suggestion as to whether contacting a physician is necessary. Patients benefit from SeeSpine’s radiation-free technology via more frequent progression tracking, quicker treatment adjustments and decreased hospital visits. The physician portal allows them to track their patients remotely, adjust visit schedules and adapt treatment plans sooner.



",514 566 0418,https://talenthub.vectorinstitute.ai/employers/1372260-seespine,https://www.linkedin.com/company/seespine/,https://talenthub.vectorinstitute.ai/uploads/employer/logo/1372260/whitebackground_tagline.png,,,,"Montreal, QC, Canada",,Montreal,Quebec,,Canada,2022-08-15 18:35:47 UTC,0,"Startup, featured here: https://www.mcgill.ca/medsimcentre/article/staying-ahead-curve-seespine",Yes,Health,Not Affiliated a1d55185-abc0-42fb-a07d-ac0689c4eee1,seoaimpoint@yahoo.com,seoaimpoint,,,https://talenthub.vectorinstitute.ai/employers/1461280-seoaimpoint,https://www.seoaimpoint.com/,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2022-09-29 14:01:09 UTC,0,,No,Technology (Information and Media),Not Affiliated @@ -803,7 +803,7 @@ bdea58d8-4931-4ae9-8bc1-b9d8a41de32c,info@stradigiai.ca,Stradigi AI,"

Stradigi

We believe diversity is the foundation for understanding the needs of our Clients. Our inclusive culture empowers employees to bring their whole selves to work and contribute to their full potential. We care about the mental, physical and financial well-being of our employees by providing progressive reward programs. We aim to make life brighter for our colleagues, Clients and communities globally. We are proud to be recognized year-after-year as one of the world’s most sustainable organizations. With our philanthropic focus on arts, culture and health, we’re dedicated to making the arts more accessible and to our signature cause, the prevention of type 2 diabetes.

If you’re looking for an energetic organization that’s committed to employee development and best-in-class client experiences, rise up with Sun Life. Life’s brighter under the sun.

",,https://talenthub.vectorinstitute.ai/employers/298821-sun-life-financial,https://www.sunlife.ca/ca/Careers,https://talenthub.vectorinstitute.ai/uploads/employer/logo/298821/Logo.png,,,,,,,,,,2019-10-09 16:06:32 UTC,3,,Yes,Financial Services,Gold Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/298821-sun-life-financial,https://www.sunlife.ca/ca/Careers,https://talenthub.vectorinstitute.ai/uploads/employer/logo/298821/Logo.png,,,,,,,,,,2019-10-09 16:06:32 UTC,2,,Yes,Financial Services,Gold Industry Sponsor e936f906-d469-4add-a0eb-4332fb73af74,info@sunnybrook.ca,Sunnybrook Research Institute,

,,https://talenthub.vectorinstitute.ai/employers/641451-sunnybrook-research-institute,https://sunnybrook.ca/research/,https://talenthub.vectorinstitute.ai/uploads/employer/logo/641451/shsc-logo-og-image.jpg,,,,,,,,,,2020-12-07 18:35:22 UTC,0,,Yes,Health,Health Partner 74339cfc-9225-4c1f-8d49-41c80f253b3e,info@surgicalsafety.ca,Surgical Safety Technologies,"

Surgical Safety Technologies Inc. (SST) is radically improving patient safety, healthcare quality, and culture through deep analysis of perioperative data, using the OR Black Box platform.

@@ -898,7 +898,7 @@ a3af1cb6-b9b5-4d7c-9231-a8446e8a9ebd,info@thomsonreuters.com,Thomson Reuters,"

Thomson Reuters is a content-driven technology company with over a century of experience curating and classifying data and supporting professionals in complex domains that move society forward. Embedded in this legacy is our team of AI-focused engineers, research and data scientists, and designers who work with some of the most comprehensive and richly enhanced legal, tax, and other professional datasets in the world.

Thomson Reuters Labs is the dedicated applied research division of Thomson Reuters. We are focused on the research, development, and application of AI and emerging trends in technologies. Working collaboratively with our stakeholders and customers, we experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable tools for our customers.

Join us in building the next generation of AI-enabled solutions for legal, tax & accounting, risk, fraud and compliance, and media.

-",,https://talenthub.vectorinstitute.ai/employers/294572-thomson-reuters,https://www.thomsonreuters.com/en/careers.html,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294572/tr_v_lg_rgb_ps.png,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294572/Banner.png,,6HcPr8kgm3U,,,,,,,2019-09-25 21:22:36 UTC,7,,Yes,Technology (Information and Media),Platinum Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/294572-thomson-reuters,https://www.thomsonreuters.com/en/careers.html,https://talenthub.vectorinstitute.ai/uploads/employer/logo/294572/tr_v_lg_rgb_ps.png,https://talenthub.vectorinstitute.ai/uploads/employer/hero/294572/Banner.png,,6HcPr8kgm3U,,,,,,,2019-09-25 21:22:36 UTC,5,,Yes,Technology (Information and Media),Platinum Industry Sponsor b52bb520-e831-4d2e-954d-3e39028d01c8,jleclair@thornhillmedical.com,Thornhill Medical Inc.,"

JOB PROFILE

diff --git a/jobExport_chunk0.csv b/jobExport_chunk0.csv index bee6d26..67a1ca0 100644 --- a/jobExport_chunk0.csv +++ b/jobExport_chunk0.csv @@ -278,968 +278,278 @@ ffde4991-0bfe-40c2-a3d0-1c9e2d468195,344243748,Roche,Senior HPC Engineer,on_site

 

#EmployeeReferralProgram

 

Adequate knowledge of French is required for positions in Quebec. 

 

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal 

Work Arrangement: Hybrid

Application Deadline: 10/11/2024

 

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.


Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

 

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

 

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

 

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

 

Created: CanadaON, Toronto

 

Bell, one of Canada's Top 100 Employers.

",,https://jobs.bell.ca/ca/en/job/BECACA420717EXTERNALENCA/Technical-Director-Managed-Services-Integration?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-12T21:30:02.846Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344464482-technical-director-managed-services-integration-at-bell-canada,BECACA420717EXTERNALENCA,draft,2024-10-01T21:25:03.579Z,import-xml-feed:Bell-Canada,,,,,,, -4ec0274f-88a0-482d-a16d-66756d372a6d,346298731,Scotiabank,"Activate: Strategic Functions New Graduate Development Program, Compliance - Spring 2025",on_site,Canada : Ontario : Toronto,2024-10-14T16:31:02.852Z,"

-

-

-

-

Requisition ID: 208962

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

-

-

Start Date: June 2025

-

Location: Toronto, Ontario

-

Application Deadline: 11/01/2024

-

-

Who Are We?

-

The Activate New Graduate Development Program is designed to kick-start your career at Scotiabank in your specific stream of Strategic Functions – when you apply, please be sure to apply to the Activate stream in which you want to specialize. Our Strategic Functions groups are the backbone of the Bank, with focus areas including Marketing, Human Resources, Compliance, Global Treasury, Risk Management, Audit, Finance, and our CPA Pre-Approved program. Each rotation in the Activate program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. You’ll also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

-

-

About Compliance/AML:

-

The Compliance/Anti-Money Laundering (AML) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program (“AML Program”), including design and effective implementation. The AML program is designed to:

-
  1. Mitigate the risks of Scotiabank products or services being used for prohibited activities; and
  2. -
-
  1. Ensure compliance with the laws and regulations applicable to the bank.
  2. -
-

-

To achieve this, we support the creation and maintenance of effective Know Your Client (“KYC”) processes, a risk-based approach to monitoring client activity to identify and report potentially suspicious and/or unusual activity, specialized training, independent testing, amongst other initiatives and activities. The AML Risk Team includes functions that deal with data, technology, governance, reporting, policies and procedures, investigations, analytics, and so much more. Our team is comprised of both highly technical individuals, with strong data and analytics skills, as well as individuals with a strong foundation and interest in governance and policy development – as an Activate associate, you’ll get to experience both!

-

  

-

Is this program right for you? In this program, you will:

-

You’ll join our Activate Development program as a full-time permanent employee and will spend 12 months rotating to pre-determined areas that will challenge you and provide you with opportunities to learn and grow into a Strategic Functions professional. Our goal at the end of the program is to land you into a permanent role in your area of focus – after 3 rotations, you’ll be set up to hit the ground running! These rotations are key to your development and aim to ensure you receive a wide breadth of experience in a short period of time. It also provides you with the opportunity to discover your passions and learn more about your areas of interest; you’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.

-

Each stream of the Activate Program has a dedicated recruiting process; this posting is for AML & Compliance. If you’re interested in one of the other streams of the Activate program, please search for the appropriate posting on our Scotiabank Careers page.

-

-

Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

-
  • This program is for students who have just graduated from a college diploma, undergraduate degree, or graduate degree who are looking to secure that job now to begin upon graduation before June 2024
  • Proactive, self-motivated, and driven to succeed
  • Strong communication and interpersonal skills
  • Ability to work under tight deadlines, within a fast-paced environment, where there is often a level of ambiguity
  • Interested in data, technology, emerging trends and risks.
  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
  • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
  • -
-

-

What’s in it for you?

-
  • You’ll be part of a diverse, collaborative, innovative, and inclusive team.
  • Work on projects that tie into AML and Compliance objectives
  • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.
  • A dedicated Program Manager to support with your learning, goals, and development.
  • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.
  • Individualized development plans, mentorship, and excusive access to leaders.
  • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.
  • -
-

-

How do I apply?

-

For students applying to one of our TILT New Graduate programs we do not require resumes! Instead, we ask that as part of your application, you complete the below:

-
  1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your past PLUM results.
  2. Complete a short one-way video interview here. -
  3. -
-

-

*To be considered, you must complete all steps above.

-

-

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

",,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Compliance-Spring-2025-ON/585497017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-13T16:31:02.859Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346298731-activate-strategic-functions-new-graduate-development-program-compliance-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Compliance-Spring-2025-ON/585497017/,draft,2024-10-14T16:31:02.852Z,import-xml-feed:Scotiabank,,,,,,, -7324aa80-7d31-4572-879e-98e4bc028e9a,343569006,BELL CANADA,"2025 Graduate Program- Operations, Strategy, Design & Delivery",on_site,"Mississauga, Ontario, Canada",2024-09-25T21:25:02.201Z,"

 ​Req Id: 420039


At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

 

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


Join us. You belong at Bell. 

 

Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

 

At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

 

-
-
-

-
-
-

This application is specifically for the Graduate program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

-

 

-

Why join us?
 

-
    -
  • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
  • -
  • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
  • -
  • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
  • -
  • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
  • -
  • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network
  • -
-
-
-
-
-

What you’ll do:

-
-
-

 

-

As a new graduate, you will make an impact by supporting and growing the best networks and technologies across the country. You will be on the cutting-edge of Bell’s transformation working with teams across the company, the latest technologies, and an extensive amount of data to create strategic business impacts. Your day-to-day experience will challenge you to use your analytical, problem solving and leadership skills to help Bell deliver innovative services, business solutions and the best customer experience.

-


The Operations, Strategy, Design and Delivery Graduate program aims to develop Bell’s future leaders. New Grads in this program gain expertise in data analytics, operations, strategic planning, and project / product management, while working with the brightest minds in the industry to provide actionable insights and leading end-to-end solutions, that influence business decisions across the company. This unique and accelerated program will not only give you extensive knowledge and experience working on complex business issues, it will also enable you to develop your leadership skills.

-
-
-
-
-

What we're looking for

-
-
-

 

-

Within our Operations, Strategy, Design and Delivery program, we have several opportunities available. For more details on each of the below roles, click here.

-

 

-
    -
  • Rotational program
  • -
  • Rotational program with people leadership
  • -
  • Business Analyst/Strategist 
  • -
  • Project Manager
  • -
  • Specialist, Supply Chain
  • -
  • Specialist, Business Process
  • -
-

 

-

Requirements 

-

 

-
    -
  • You graduated/will graduate between 2022 and August 2025 with a Bachelor's or Master's degree or College/CEGEP diploma in engineering, business, business technology management, computer science, mathematics, statistics, operations/logistics/supply chain or related fields, with no more than 3 years delay between degrees.
  • -
  • You have less than three years of combined professional experience, excluding past internship experiences.
  • -
-
-
-
-
-

Technical Skills (you have some of the following)

-
-
-
    -
  • You understand the basic principles of working with large and complex datasets.
  • -
  • You have introductory experience or have the desire to learn data tools and software such as SQL, SAS, MicroStrategy, Java, Kotlin, or Objective-C.
  • -
  • Familiar with project/program management principles, frameworks and tools (e.g. PMP)
  • -
  • Experienced with lean/agile concepts, processes and tools (e.g. JIRA, Kanban
  • -
  • Tech savvy with a desire to keep up to date with the latest technology (including IT and cloud)
  • -
-

 

-

Leadership Skills

-

 

-
    -
  • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
  • -
  • You gain the trust of your teams, being known for demonstrating fairness and respect.
  • -
  • You promote belonging and are flexible, accountable and collaborative.
  • -
  • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
  • -
  • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
  • -
  • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
  • -
  • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
  • -
  • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
  • -
  • You are committed to growing your skills and learning from others.
  • -
  • Your leadership qualities have been demonstrated through extracurricular activities and projects.
  • -
-
-
-
-
-

Applying is simple

-
-
-

Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

-

 

-
    -
  1. Review our programs and indicate up to three role choices in your application.
  2. -
  3. Complete your video interview within 48 hours. 
  4. -
  5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
  6. -
  7. If selected from previous step, you will be invited to a virtual panel interview.
  8. -
-

 

-

Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

-

 

-

Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

-
-
-

#EmployeeReferralProgram

 

Adequate knowledge of French is required for positions in Quebec.

 

Additional Information:
Position Type: Management 
Job Status: Grad Hire 
Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
Work Arrangement: Hybrid
Application Deadline: 03/11/2025

 

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

 

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

 

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

 

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
 

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

 

Created: Canada, ON, Mississauga

 

#CampusOperations24​

 

Bell, one of Canada's Top 100 Employers.

",,https://jobs.bell.ca/ca/en/job/BECACA420039EXTERNALENCA/2025-Graduate-Program-Operations-Strategy-Design-Delivery?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:02.210Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569006-2025-graduate-program-operations-strategy-design-delivery-at-bell-canada,BECACA420039EXTERNALENCA,draft,2024-09-25T21:25:02.201Z,import-xml-feed:Bell-Canada,,,,,,, -f14a2f9b-dc66-4144-86b3-c608ed5c934c,343569017,BELL CANADA,2025 Internship Program- Human Resources,on_site,"Toronto, Ontario, Canada",2024-09-25T21:25:03.357Z,"

 ​Req Id: 420043


At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

 

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


Join us. You belong at Bell. 

 

Launch your career at Bell and join the best-in-class Intern and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

 

At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

 

-
-
-

Why join us?

-
-
    -
  • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
  • -
  • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
  • -
  • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
  • -
  • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
  • -
  • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
  • -
  • Develop your technical and leadership skills through formal and experiential training programs.
  • -
  • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
  • -
-
-
-
-

What you’ll do

-
-
-

Joining the Human Resources team means getting up-close and personal with the talent that is transforming Bell. This unique opportunity embedded in this team will mean learning from experienced professionals and contributing to building a talent advantage. During your internship, you’ll develop critical skills needed to become a future HR leader. Over the course of our four-month internship program, you will accelerate your professional growth and development as a member of HR team. If you’re passionate, driven and find yourself seeking interesting work, new challenges and continuous learning opportunities, then we want you to join our team.

-

 

-

HR Interns will have the opportunity to work with teams across Bell and play a critical role in building a talent advantage, driving employee effectiveness and enhancing organizational efficiencies to deliver the best client experience.
 

 

-
-
-
-
-

What we’re looking for

-
-
-

During your internship, you will be supporting one of the following teams:

-

•    Talent Acquisition
•    Talent Management
•    Learning Strategy
•    Compensation
•    Mental Health and workplace practices
•    Project Management
•    Digital HR
•    Business Intelligence 
•    Employee and Executive services

-


Requirements
•    You are
graduating between spring 2026 or spring 2027.
•    You’re a second- or third-year student studying towards a university Bachelor’s degree or college diploma in human resource management, industrial relations, or business management
•    You are aligned with working in-person at a Toronto or Montreal-based Bell office location a minimum of 3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.

 

-
-
-
-
-

Leadership skills

-
-

•    You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
•    You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
•    You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
•    You gain the trust of your teams, being known for demonstrating fairness and respect.
•    You promote belonging and are flexible, accountable and collaborative.
•    You are committed to growing your skills and learning from others.

 

-
-
-
-

Applying is simple

-
-
-

Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

-

1.    Review our programs and indicate up to three role choices in your application.
2.    Complete your video interview within 48 hours. 
3.    If selected, you will be invited to complete a phone interview or assessment to better
understand your skills and experience.
4.    If selected from previous step, you will be invited to a virtual panel interview.
Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial
accepted) to be considered.

-


Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.
 

-
-
-

#EmployeeReferralProgram

 

Adequate knowledge of French is required for positions in Quebec.

 

Additional Information:
Position Type: Management 
Job Status: Intern 
Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal 
Work Arrangement: Hybrid
Application Deadline: 11/03/2024

 

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

 

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

 

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

 

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
 

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

 

Created: Canada, QC, Montreal

 

Bell, one of Canada's Top 100 Employers.

 

#CampusHR24

",,https://jobs.bell.ca/ca/en/job/BECACA420043EXTERNALENCA/2025-Internship-Program-Human-Resources?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.368Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569017-2025-internship-program-human-resources-at-bell-canada,BECACA420043EXTERNALENCA,draft,2024-09-25T21:25:03.357Z,import-xml-feed:Bell-Canada,,,,,,, -6fd41fba-00b3-4e23-932c-f0bfe1fd08cb,343569018,BELL CANADA,"2025 Internship Program- Operations, Strategy, Design & Delivery",on_site,"Mississauga, Ontario, Canada",2024-09-25T21:25:03.462Z,"

 ​Req Id: 420045


At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

 

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


Join us. You belong at Bell. 

 

Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other interns and grads attending exclusive events and networking opportunities. 

 

At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

 

-
-
-

-
-

This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website. 

-
-
-
-

Why join us?

-
+693ed601-5806-45e8-8b97-2ec436d57170,344839961,Magna International,Accounts Payable Advisor,on_site,"Guelph, ONTARIO, CA, N1H 1A4",2024-10-03T16:41:03.305Z,"
+
+

About the Role

-

 

-
    -
  • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
  • -
  • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
  • -
  • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
  • -
  • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
  • -
  • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
  • -
  • Develop your technical and leadership skills through formal and experiential training programs.
  • -
  • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
  • -
-

 

-

What you’ll do

-

 

-

Do you want to make an impact by supporting and growing the best networks and technologies across the country? At Bell, our teams use the newest technologies and lots of data to make important changes that help our business grow. In this internship you’ll be supporting problem solving to help Bell deliver innovative services, business solutions and the best customer experience. You'll also get to help make things better by using smart ideas and agile methods to make our work faster and better.

-
-
-
-
-

What we’re looking for

+

Magna offers excellent Medical and Dental Benefits, after one month of service; 90% coverage + $2,000/year for dental coverage, Profit Sharing, Cafeteria and Gym on-site, Education assistance, Employee barbecue, Christmas lunches and Magna employee discounts for products and services.

+

+

We are searching for an Accounts Payable Advisor. The successful candidate will be responsible for paying suppliers, problem identification and resolution of accounts payable issues. Assisting departments with issues related to supplier payment information and completion of month-end reporting.

-
-

 

-

Within our Operations, Strategy, Design and Delivery function, we have several opportunities available. For more details on each of the below roles, click here.  

-

 

-
    -
  • Operations
  • -
  • Business Analyst
  • -
  • Project Manager 
  • -
  • Supply Chain
  • -
  • Business Process 
  • -
-

 

-

Requirements

-

 

-
  • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in engineering, business, business technology management, computer science, mathematics, statistics, operations/logistics/supply chain or related fields.
+
+

Your Responsibilities

+

- Supports general accounts payable functions including payment to suppliers, resolution and reconciliation of supplier accounts, acting as a backup for accounts payable functions when required
- Completes month-end accruals and report preparation
- Assists with preparation of year-end audit books
- Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health safety and environmental rules and regulations
- Active involvement in 5S & CI initiatives
- Performs other duties as required

-
-
-

Technical skills (you have some of the following)

+
+

Who we are looking for

+

- Accounting College certificate or University courses in related field required
- Minimum one year of previous accounting experience required
- Experience with accounts payable an asset
- Excellent communication, analytical, and problem-solving skills
- Outstanding organizational skills with the ability to work independently
- Strong data entry experience required
- Advanced Excel experience required
- Previous experience using MAPICS system preferred
- Customer service skills required for interaction in supplier payment issue resolution
- Accuracy/attention to detail required
- Excellent time management skills to deal with a heavy workload

+
+

Your preferred qualifications

-

 

-
    -
  • Knowledge of/experience in change management, project management, data analytics or supply chain and logistics
  • -
  • Knowledge of programming languages (Python, JavaScript, etc.)
  • -
  • Advanced analytical and data analysis skills; experience working with excel
  • -
  • Knowledge of Agile principles and tools 
  • -
-

 

-

Leadership skills

-

 

-
    -
  • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
  • -
  • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
  • -
  • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
  • -
  • You gain the trust of your teams, being known for demonstrating fairness and respect.
  • -
  • You promote belonging and are flexible, accountable and collaborative.
  • -
  • You are committed to growing your skills and learning from others.
  • -
+

Accommodations for disabilities in relation to the job selection process are available upon request.

+

Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

-
-
-

Applying is simple

+
+

What we offer

+

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

-
-

 

-

Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

-

 

-
    -
  1. Review our programs and indicate up to three role choices in your application.
  2. -
  3. Complete your video interview within 48 hours. 
  4. -
  5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
  6. -
  7. If selected from previous step, you will be invited to a virtual panel interview.
  8. -
-

 

-

Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

-

 

-

Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

+
+

Site Benefits

+

Cafeteria and Gym on-site

+
+

Awareness. Unity. Empowerment.

+

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

-

#EmployeeReferralProgram

 

Adequate knowledge of French is required for positions in Quebec.

 

Additional Information:
Position Type: Management 
Job Status: Intern 
Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
Work Arrangement: Hybrid
Application Deadline: 11/03/2024

 

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

 

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

 

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

 

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
 

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

 

Created: Canada, ON, Mississauga

 

#CampusOperations24

 

Bell, one of Canada's Top 100 Employers.

",,https://jobs.bell.ca/ca/en/job/BECACA420045EXTERNALENCA/2025-Internship-Program-Operations-Strategy-Design-Delivery?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.486Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569018-2025-internship-program-operations-strategy-design-delivery-at-bell-canada,BECACA420045EXTERNALENCA,draft,2024-09-25T21:25:03.462Z,import-xml-feed:Bell-Canada,,,,,,, -7e6d9cef-be47-41ec-9c09-e6180282f019,344117498,Roche,RWD Analytics Engineer,on_site,"Ontario, Canada",2024-09-29T08:58:01.645Z,"
-

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

-

-

-

The Position

-

Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

+
",,https://jobs.magna.com/job/Guelph-Accounts-Payable-Advisor-ONTA-N1H-1A4/577148117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-02T16:41:03.305Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839961-accounts-payable-advisor-at-magna-international,https://jobs.magna.com/job/Guelph-Accounts-Payable-Advisor-ONTA-N1H-1A4/577148117/,draft,2024-10-03T16:41:03.305Z,import-xml-feed:Scrapy-Scraper,,,,,,, +4c0e0b23-3cf5-41a3-be5f-1d2f42287252,344787657,OMERS,"Product Owner, Pensions Data",on_site,"Ontario, Canada",2024-10-03T08:58:02.748Z,"
+

Choose a workplace that empowers your impact.

+

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

-

You will be supporting projects that require harmonization of source data models to/from common data models such as OMOP or FHIR. Occasionally, this may include custom data models, depending on product/project needs. You will be collaborating with clinical terminologists, medical informatics architects, data engineers, and data scientists to produce data sets that are ready for analysis or model building. You will also be responsible for creating and applying tests to the data pipeline using state of the art approaches, ensuring that the mapped data retain the same semantics as the original data within the context of specific use cases.

+

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

-

In addition to supporting specific projects with analytics engineering needs, you will also leverage this experience to help design and develop scalable ways for mapping data.

+

Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

-

The Opportunity:

+

Don’t just work anywhere — come build tomorrow together with us.

+

Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

+

+

+

We are looking for a highly motivated Product Owner to join our Pensions Data Team in Toronto. You will be part of growing a data-driven product development team striving to transform OMERS employees, members, employers and stakeholders’ experiences through the deployment of high-quality data products and visualizations. We are striving to provide information and actionable insights to improve experiences for members, stakeholders, employers and OMERS teams.

+

The Pensions Data Team is an exciting team focused on providing real value through high-quality information and actionable data-driven insights. We encourage innovation and empower open thinking for all our team members. We’re excited for the opportunity to have highly driven and impactful talent join our team!

+

+

As a member of this team, you will be responsible for:

    -
  • Syntactically and semantically map data to/from RWD common data models (e.g., OMOP, FHIR) using dbt or similar tools

  • -
  • Design, develop, and test ETL/ELT pipelines for real world data

  • -
  • Provide complete documentation and communication of all processes, methods, and results

  • -
  • Integrate vocabularies/terminologies using REST APIs and/or via relational tables

  • -
  • Co-create scalable approaches for mapping data using declarative and functional programming approaches

  • -
-
    -
  • Understand the complexities of RWD use cases from both business and IT/technical perspectives and develop a strategic approach to balance short-term benefits and long-term costs and contribute and share learnings throughout RWD communities

  • -
  • Partner with data scientists to understand and address their need as well as with IT business domain leadership to influence product roadmaps

  • +
  • Maximize the product value of analytics and reporting through leveraging and understanding user feedback, stakeholder opportunities and the technology landscape

  • +
  • Engaging with stakeholders and subject matter experts to gather and refine feature requirements

  • +
  • Clearly expressing requirements through documentation of user stories and epics

  • +
  • Plan and prioritize the product backlog items to best achieve goals

  • +
  • Manage product design, dependencies and trade-offs and ability to resolve cross-team interdependencies

  • +
  • Ensure work is focused to deliver maximum value

  • +
  • Clear and comprehensive communication with the agile team regarding feature work, goals and deliverables

  • +
  • Drive iteration and release plans, with a focused attention to work progress in sprint and to addressing issues during sprints

  • +
  • Communicate and promote product release plans, and set expectations for the delivery of new features and functionality

  • +
  • Participate in close collaboration with Product Managers, Agile Development Leads, Designers, DevOps, QAs, Technical Leads and our Technical Development Squads in order to guide development of our product vision

  • +
  • Maintaining a knowledge of agile methodologies, disciplines, practices and techniques

-

Who you are:

-

+

To succeed in this role:

    -
  • 5+ years of relevant experience and a Bachelor’s or Master’s degree in computer science, data science, informatics

  • -
  • Hands-on experience with healthcare data in at least one of the following disease areas: oncology, neuro, immunology, infectious diseases, ophthalmology, cardiovascular and metabolism

  • -
  • Hands-on experience with real world data, specifically OMOP

  • -
  • Experience with terminology integration, including OHDSI Athena and UMLS

  • -
  • Python (numpy, pandas, etc.) or R, SQL, CI/CD, git.

  • -
  • (Preferred) Experience with semantic web technologies (e.g., SPARQL, RDF, OWL, Turtle)

  • -
  • Hands-on experience with relational databases and cloud platforms such as Snowflake

  • -
  • (Preferred) Experience with graph databases such as Neo4j and GraphDB and SDTM

  • +
  • You are a self-starter who uses sharp analytical and innovative problem-solving skills to recommend business solutions to drive results and solve problems

  • +
  • You have passion for working with people, empathy and a knack for building great relationships with your colleagues

  • +
  • You have outstanding communication, with the ability to effectively interpret ideas and information, and present to diverse audiences

  • +
  • You are adaptable to change, have the ability to manage multiple concurrent demands and make effective judgments as to priorities

  • +
  • Experience in data analytics and reporting, data warehousing and/or business intelligence

  • +
  • 3+ years of experience as Product Owner or Business Analyst in an Agile (Scrum) environment and/or Actuarial Sciences, Financial Services and Banking, or Pensions

  • +
  • Experience using JIRA or other user story and task management tool

  • +
  • Experience using Microsoft Power BI or similar data visualization software

  • +
  • Experience in SQL and Excel

-

Relocation benefits are not available for this posting.

-

-

Who we are

-

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

+

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 1 day per week.

-

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

-

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

-
+

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

-

Roche is an Equal Opportunity Employer.

-
-
",,https://careers.roche.com/global/en/job/202405-111611/RWD-Analytics-Engineer,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344117498-rwd-analytics-engineer-at-roche,,draft,2024-09-29T08:58:01.645Z,import-xml-feed:Selenium-Scraper,,,,,,, -9538c8b1-10cb-4724-98a5-187b69196fe1,346258823,CN,"Intern, Mechanical Reliability",on_site,"Ontario, Canada",2024-10-14T08:58:03.315Z,"
-

At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

-

+

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

+
",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Product-Owner--Pensions-Data_JR-6592-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-02T08:58:02.748Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787657-product-owner-pensions-data-at-omers,,draft,2024-10-03T08:58:02.748Z,import-xml-feed:Selenium-Scraper,,,,,,, +493194b1-0cc2-4b69-9aa9-0974583e37e2,344787006,BMO Financial Group,"Manager, Strategic Initiatives",on_site,"Ontario, Canada",2024-10-03T08:18:03.279Z,"
+

Application Deadline:

10/19/2024

+

+

Address:

33 Dundas Street West

+

+

Job Family Group:

Data Analytics & Reporting

+

+

This is currently a hybrid role with an expectation to be in the Toronto office 2 days per week

+

+

+

Manager, Strategic Initiatives

-

Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Mechanical Reliability position in Homewood, Il from May– Aug 2025.

-

Job Summary

-

The Intern, Mechanical Reliability is responsible for providing support to the Mechanical department by preparing calculations and reports while gaining experience with engineering systems. The incumbent integrates tracking plans, performs analysis of mechanical design choices, and carries out other projects as assigned. The role contributes to project leadership and oversees the project portfolio.

-

Major Responsibilities

-
    -
  • Provide support to the Mechanical department
  • -
  • Assist in preparing calculations and reports
  • -
  • Provide assistance in integrating tracking plans
  • -
  • Participate in performing analysis of mechanical design choices
  • -
  • Interact with project teams
  • -
  • Assist with coordination of on-site activities
  • -
  • Support the creation and modification of Computer Aided Design (CAD) models
  • -
-

Requirements

-
    -
  • Advanced knowledge of Microsoft Office (Excel, PowerPoint, Word)
  • -
  • Knowledge of Microsoft Teams, SharePoint, and Notes
  • -
  • Knowledge of reporting software such as Tableau and SmartSheet
  • -
  • Communicates with impact
  • -
  • Completes work autonomous with accountability for assigned tasks
  • -
  • Knowledge of Systems, Applications and Products (SAP) and ARIBA*
  • -
-

Education

-
  • Recent Graduate or working towards a Bachelor’s Degree in Operations Management, Procurement and Supply Chain Management, Business, Finance, Industrial, Mechanical Engineering, or equivalent
-

*Any experience/education/skills/knowledge for these above would be considered as an asset

-


-

#IC

-

+

The Manager, Strategic Initiatives, reporting to Senior Manager, will be accountable for project managing and designing customer communication initiatives to drive customer engagement and product balance growth. The Manager, Strategic Initiatives will help business partners make data informed decisions to find new portfolio/customer experience growth opportunities through data analytics. This role works collaboratively with many partners across Personal and Commercial Bank, Marketing and Technology & Operations to execute strategy. The manager will be supporting Retail Investments and Wealth products.

+

If you get excited by analytics, delivery, process improvement and impact analysis then this role is for you.

-

About CN

CN is a world-class transportationleader and trade-enabler. Essential to the economy, to the customers, and tothe communities it serves, CNsafely transports more than 300 million tons of natural resources, manufacturedproducts, and finished goods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributingto community prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. AtCN, we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.

-

CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

-
",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14592?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-13T08:58:03.315Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258823-intern-mechanical-reliability-at-cn,,draft,2024-10-14T08:58:03.315Z,import-xml-feed:Selenium-Scraper,,,,,,, -f94ba496-ac41-4d75-9e39-c55ba082373e,346634423,Roche,Disclosures Specialist,on_site,"Ontario, Canada",2024-10-17T08:58:01.771Z,"
-

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

-

-

-

The Position

-

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

-

Creating a world where we all have more time with the people we love.

+

______________________________________________________________________________

-

That’s what makes us Roche.

+

What you will be doing:

-

The Pharma Development Regulatory (PDR) Innovation and Sustainment Chapter is responsible for developing and sustaining business capabilities within PDR. We focus on fostering innovation, ensuring operational readiness, and implementing continuous improvements. Our team anticipates regulatory landscape changes and evaluates future business needs to achieve PDR\'s moonshots and Pharma vision. We maintain compliant, efficient regulatory processes, systems, and tools to meet patient and business needs, and understand the impact of data and information on submission quality.

+

Customer acquisition, customer experience enhancement, regulatory compliance and revenue growth - You are passionate about growing our bank. You will support product partners by executing against the growth and engagement strategy, working with our internal and external partners on programs, campaigns and enhancements that may be needed to excel.

-

As a member of this chapter, you will leverage talent across PDR to drive innovation, lead continuous improvement, and oversee regulations and internal standards. Your responsibilities include assessing processes, tools, and technology to achieve our business goals, collaborating enterprise-wide to ensure compliance, and partnering with quality organizations across PD, affiliates, Pharma, and Roche.

+

Cross-functional Collaboration, Planning & Execution - You will partner with stakeholders from across BMO (e.g., our Frontline, Technology, Marketing, Product, and Digital teams) to support client growth and experience focused strategic initiatives: define and map end-to-end process, assess cost and feasibility, build business case, perform pre and post analysis and execute programs. Capture business requirements, establishing segmentation trees, targeting criteria, exclusions and ensuring that campaigns are designed to be measurable. You will support the creation of differentiated and profitable solutions that meet the needs of our banking partners to achieve defined measures of success.

-

The Opportunity:

-
    -
  • Assist in posting organizational clinical trial protocols and results on public trial registration websites (ClinicalTrials.gov, EU results registry).

  • -
  • Identify studies required for registry and results postings and ensure PDR management and staff are aware of timelines and requirements.

  • -
  • Liaise with project teams and affiliates to ensure understanding of regulatory disclosure responsibilities.

  • -
  • Submit protocol documents for registry entries and quality control checks for consistency.

  • -
  • Work with cross-functional team members to gather necessary data and approvals for registry and results postings.

  • -
  • Monitor workflows for timely completion of registry and results entries, ensuring uploads are done on time.

  • -
  • Track and ensure timely responses to correspondence with cross-functional teams and departments.

  • -

-

Who you are:

+

Provide analytical insights to develop direct to consumer campaigns and opportunities

    -
  • Degree in Life Sciences or equivalent with 1-3 years of relevant experience in the pharmaceutical/biotechnology industry, including independent project delivery and leadership of specific activities.

  • -
  • Strong computer skills (Microsoft Office Suite, Adobe Acrobat), solid understanding of drug development, and familiarity with regulations and guidelines (e.g. GxP, GCP, ICH) and clinical trial disclosure.

  • -
  • First exposure to regulatory affairs or product development functions

  • -
  • Strong interpersonal and communication skills, effective team member in cross-functional and matrix-based environments, with a strong sense of urgency.

  • -
  • Ability to work under minimal supervision, excellent administrative and project planning skills, detail-oriented, ability to meet deadlines and work under challenging timelines. Fluency in English (verbal and written) is required.

  • +
  • Contribute to the development of direct-to-consumer marketing plans, based on a thorough understanding of the data, analysis techniques and prior campaign learnings.
  • +
  • Accountable to deliver analytics, insights and reporting in line with both immediate and long-term business objectives
  • +
  • Contribute to the delivery of reports and presentations that evaluate and analyze the effectiveness of programs and initiatives
  • +
  • Develop and conduct pre-campaign analysis and insights to help drive business decisions

-

Relocation benefits are not available for this job posting.

-

-

Who we are

-

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

-

-

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

-

-

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

-
-

-

Roche is an Equal Opportunity Employer.

-
-
",,https://careers.roche.com/global/en/job/202410-125426/Disclosures-Specialist,feed-importer@jobboard.io,,,,2024-11-16T08:58:01.771Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634423-disclosures-specialist-at-roche,,draft,2024-10-17T08:58:01.771Z,import-xml-feed:Selenium-Scraper,,,,,,, -df3abdee-22e3-4e1c-a0fc-7268c2f3a3ec,347102664,RBC,"Director, Data Management Enablement",on_site,"Toronto, ON, Canada",2024-10-21T08:20:03.429Z,"
-

Job Summary

-

-

-

Job Description

-

-

What is the opportunity?

-

-

Enterprise Data Management Office (EDMO) is the facilitating body for all Data Management Offices for RBC focused on driving consistency and standardization across the DMOs. EDMO will partner with the DMOs to establish an effective DMO Target Operating Model and leading the Data Management and Compliance Council (DMCC) forum for all data management activities across RBC. EDMO also enables and supports the Functional Data Domains across RBC ensuring consistency in the implementation of the Standards of Care.

-

-

The Director, Data Management Enablement will work closely with functions line of business to establish and accelerate data management activities that benefit business opportunities while establishing data domain control points resulting in a data management strategy and execution that unlocks the business value of data in a safe policy adherent manner

-

-

What will you do?

+

Process management

    -
  • Identify and build re-useable acceleration strategies around data management gap and business priorities
  • -
  • Meet FY Policy deliverables to support business priorities and align with Data Policy requirements and adherence
  • -
  • Develop Functions Data Management roadmaps
  • -
  • Document and analyze data management gaps against domain strategy
  • -
  • Build and maintain a comprehensive inventory of Data Management components within the functional lines
  • -
  • Establish data management forums for the functional lines of business and collaborate with CDO teams and external partners
  • +
  • Support the lead generation cycle by monitoring and tracking process issues, making recommendations to streamline, enhance and improve overall operations
  • +
  • Troubleshoot critical issues for immediate resolution to ensure the lead generation cycle remains on track and provide required support to Leads Managers
  • +
  • Develop business process documentation for selection of customer data extracts by a team of developers, and/or using CRM applications.
  • +
  • Develop business processes and documentation for automation of marketing activities.
  • +
  • Act as a project leader for small to medium sized projects

-

What do you need to succeed?

-

-

Must-have

+

What we are looking for:

    -
  • Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
  • -
  • Experience in issue remediation and effective escalation and resolution
  • -
  • Experience RBC data management and/or risk management
  • -
  • Exposure to regulatory responses and remediation, including but not limited to OSFI
  • +
  • You\'re highly proactive and driven by collective success.
  • +
  • You act like an owner.
  • +
  • You can demonstrate experience with supporting multiple accountabilities.
  • +
  • You are creative and results oriented.
  • +
  • You enjoy uncertainty and ambiguity.

-

Nice-to-have

+

Knowledge:

    -
  • Experience in RBC’s Agile Program Management Framework is an asset
  • -
  • Works strategically, stretching beyond traditional information management practices, leveraging industry leading and innovative approaches to solving data challenges
  • -
  • Understanding of Functions data is an asset. Functions include areas like Procurement, Human Resources, Corporate Real Estate, Location, Audit, Fraud, Cyber Security and more
  • +
  • Minimum 3 years of campaign or database marketing or delivery experience
  • +
  • Advance knowledge of customer relationship management, campaign design and development
  • +
  • Solid and proven background in business process improvement
  • +
  • Experience in data analytics, developing and executing direct marketing campaigns, analyzing marketing campaigns and initiatives
  • +
  • Knowledge of SQL , SAS and PowerBI preferred
  • +
  • Knowledge of financial services industry preferred

+

-

What’s in it for you?

-

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

-
    -
  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • -
  • Work on a dynamic topic of strategic importance
  • -
  • Ability to make a difference and lasting impact
  • -
  • Work in an agile, collaborative, progressive, and high-performing team
  • -
  • The opportunity to interface with executives from many different parts of the organization
  • -
-

-

-

Job Skills

Big Data Management, Critical Thinking, Data Governance, Knowledge Organization, Logical Data Modeling, Long Term Planning, Repository Tools, Results-Oriented, Risk Management

-

-

-

Additional Job Details

-

Address:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

STRATEGY AND ADMINISTRATION

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2024-09-19

Application Deadline:

2024-10-31

-

+

Salary:

+
$68,000.00 - $126,000.00

+

Pay Type:

Salaried

+

The above represents BMO Financial Group’s pay range and type.

+

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

+

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

-
-

Inclusion and Equal Opportunity Employment

-

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
​​​​​​​
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

-

+

We’re here to help

+

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

-

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

-
",,https://jobs.rbc.com/ca/en/job/R-0000099322/Director-Data-Management-Enablement,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-20T08:20:03.445Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102664-director-data-management-enablement-at-rbc,,draft,2024-10-21T08:20:03.429Z,import-xml-feed:RBC-Job-Feed,,,,,,, -463612cf-6316-4ab3-bf32-7b2c470d56ec,347102859,Google,"Technical Solutions Specialist, Billing, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:02.867Z,"
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Technical Solutions Specialist, Billing, Google Cloud

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-corporate_fareGoogleplaceWaterloo, ON, Canada
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Mid

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Minimum qualifications:

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  • Bachelor\'s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
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  • 5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations, or transformation programs.
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Preferred qualifications:

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  • Experience with programming/scripting languages such as Java, C, C++, Python, shell scripting, and JavaScript.
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  • Experience in Linux/Unix, basic systems administration.
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  • Experience with account management and billing systems particularly with SAP.
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  • Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and MapReduce.
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  • Understanding of the following Internet technologies: web-tech (HTTP, DNS, TLS, HTML), networking (routing, TCP/IP).
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    About the job

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    In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is focused on the customer, and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.

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    Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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    Responsibilities

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    • Own and resolve Enterprise customer billing problems through effective diagnosis, analysis and troubleshooting.
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    • Act as a consultant and subject matter expert for customers and internal stakeholders in sales, account management, and customer organizations to resolve billing issues.
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    • Understand customer issues and advocate for their needs with cross-functional teams like Product Management and Software Development.
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    • Develop an in-depth understanding of Google\'s product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, so we can identify and resolve future issues quickly.
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    • Ingest and create data pipelines from upstream systems providing data availability and reporting for stakeholders.
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    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

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    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    -

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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    -
    ",,https://www.google.com/about/careers/applications/jobs/results/86691240484971206-technical-solutions-specialist-billing-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:02.877Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102859-technical-solutions-specialist-billing-google-cloud-at-google,,draft,2024-10-21T08:34:02.867Z,import-xml-feed:Google-Job-Feed,,,,,,, -93c217da-452b-45a5-88a4-2349027e5887,347102861,Google,"Account Strategist, Engage, Google Customer Solutions",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.407Z,"
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    Account Strategist, Engage, Google Customer Solutions

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    -corporate_fareGoogleplaceToronto, ON, Canada
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    Early

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    Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
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    Minimum qualifications:

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    • Bachelor\'s degree or equivalent practical experience.
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    • 2 years of experience in advertising, sales, marketing, consulting, or media.
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    • Ability to travel 20% of the time as required.
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    Preferred qualifications:

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    • Experience in launching and managing paid digital advertising campaigns, particularly in Google Ads and other digital marketing platforms.
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    • Experience strategically assessing and achieving client success via sales techniques, including effective questioning, objection handling, and promoting.
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    • Experience working with channel sales, advertisers, agencies, or clients.
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    • Ability to build compelling narratives and utilize storytelling as a client engagement strategy.
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    • Ability to manage and prioritize a portfolio in an advertising or media sales context.
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    • Ability to achieve goals to drive growth.
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    About the job

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    Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

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    Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.

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    Responsibilities

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    • Build and manage relationships with clients, and develop an understanding of their business issues, marketing goals, and success metrics.
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    • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
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    • Plan for and achieve growth goals through the presentation of Google advertising products/solutions that will help clients to meet their marketing goals.
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    • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers.
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    • Build knowledge of how Google advertising products work and can be used to help meet a wide range of marketing goals.
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    • -
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    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

    -

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    -

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    -

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    -

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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    -
    ",,https://www.google.com/about/careers/applications/jobs/results/120963456714056390-account-strategist-engage-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.418Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347102861-account-strategist-engage-google-customer-solutions-at-google,,draft,2024-10-21T08:34:03.407Z,import-xml-feed:Google-Job-Feed,,,,,,, -995a779f-cc0b-43fa-8305-742e3ba0b69a,343662387,NVIDIA,Senior ASIC Verification Engineer - GPU,on_site,"Ontario, Canada",2024-09-26T08:58:01.544Z,"
    -Senior ASIC Verification Engineer - GPU page is loaded
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    Senior ASIC Verification Engineer - GPU

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    locationsCanada, Toronto
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    time typeFull time
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    posted onPosted 11 Days Ago
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    job requisition idJR1975183
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    NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC\'s and GPU\'s. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

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    In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.

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    What you\'ll be doing:

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    • As a key member of our ASIC Verification team, you will verify the design and implementation of the industry\'s leading GPUs

    • -
    • You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM

    • -
    • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design

    • -
    • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

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    -

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    What we need to see:

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    • Bachelors Degree in EE, CS or CE or equivalent experience

    • -
    • 5+ years of relevant experience

    • -
    • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies

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    • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)

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    • Expertise in System Verilog or similar HVL

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    • You display strong debugging and analytical skills

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    • Perl and C/C++ programming language experience desirable

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    • Prior experience with arbiters, interconnect networks and/or caches is desirable

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    • Strong communication skills and ability & desire to work as a great teammate are huge plus

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    • Experience in crafting test bench environments for unit and system level verification

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    -

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    NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.

    -
    +

    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

    -

    The base salary range is 97,500 CAD - 214,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
    -

    You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

    -

    -
    +

    To find out more visit us at https://jobs.bmo.com/ca/en.

    +

    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

    -
    -
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    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-ASIC-Verification-Engineer---GPU_JR1975183?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-10-26T08:58:01.544Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662387-senior-asic-verification-engineer-gpu-at-nvidia,,draft,2024-09-26T08:58:01.544Z,import-xml-feed:Selenium-Scraper,,,,,,, -ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",on_site,"Ontario, Canada",2024-10-17T08:58:02.371Z,"
    -

    At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
    We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

    -

    -

    -

    Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Mechanical - Field position in Edmonton, AB from May – August 2025.

    -

    Job Summary

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    The Intern, Mechanical - Field is responsible for collaborating with the Mechanical Field leadership to ensure railcar inspection maintenance and repair is performed safely and efficiently. The incumbent works with different teams such as Mechanical, Transportation, and Reliability to contribute to safety orientation, compliance, enforcement, and Key Performance Indicators (KPIs). The position is involved in leading projects and overseeing project portfolios.

    -

    Major Responsibilities

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      -
    • Support Online Failure Investigation and follow-up
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    • Assist in response to dangerous good incidents and leaks in yards
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    • Assist with creation, auditing, and implementation of standard operating procedures
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    • Contribute to ensuring that Performance Monitoring Reporting Compliance (PMRC) targets, expectations, and objectives are met
    • -
    • Analyze car inspection and repair productivity using CN’s data
    • -
    • Perform analysis on locomotive reliability and repair billing initiatives
    • -
    • Assist in identifying, developing, and initiating improvement activities
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    • Support in the creation and implementation of locomotive automated alerts
    • -
    • Assist with development of KPIs on reliability performance
    • -
    • Help in documenting, identifying, and analyzing failure patterns
    • -
    • Launch surveys to conduct root cause analysis requirements
    • -
    • Help with special projects, data analysis and recommendations for improvement, reporting, presentations, and onsite audits of various terminals throughout the region
    • -
    -

    Requirements

    -
      -
    • Advanced knowledge of Microsoft Office (Excel, PowerPoint, SharePoint, Teams Notes, and Word)
    • -
    • Knowledge of reporting software such as Tableau and Smartsheet
    • -
    • Knowledge of Systems, Applications and Products (SAP), Query Designer, ARIBA or equivalent*
    • -
    • Knowledge of Service Reliability System (SRS)*
    • -
    • Valid Driver’s License
    • -
    • Ability to work outdoors in various types of weather and environmental conditions
    • -
    • Ability to perform occasional travel (25%) between Canada and the United States (U.S.)
    • -
    -

    Education

    -
    • Working towards a Bachelor’s Degree in Mechanical or Industrial Engineering, BCom, Computer Science, or Construction Management
    -

    *Any experience/education/skills/knowledge for these above would be considered as an asset

    -

    -



    About CN

    CN is a world-class transportationleader and trade-enabler. Essential to the economy, to the customers, and tothe communities it serves, CNsafely transports more than 300 million tons of natural resources, manufacturedproducts, and finished goods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributingto community prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. AtCN, we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.

    -

    At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

    -

    As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

    +

    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

    +
    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Strategic-Initiatives_R240025778-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-10T08:23:04.399Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787006-manager-strategic-initiatives-at-bmo-financial-group,,draft,2024-10-03T08:18:03.279Z,import-xml-feed:BMO-Job-Feed,,,,,,, +c3107d9a-dc36-4877-8889-7b11496e54f8,344839840,Scotiabank,Senior Manager Regulatory Compliance and Risk Management - CID&A,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:04.814Z,"

    -
    ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14624?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-16T08:58:02.372Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634427-intern-mechanical-field-at-cn,,draft,2024-10-17T08:58:02.371Z,import-xml-feed:Selenium-Scraper,,,,,,, -f27d072b-61f5-4c50-993b-0500191200a6,347118829,Scotiabank,SOAR: Indigenous Peoples Development Program - June 2025,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:05.046Z,"

    +

    Requisition ID: 208265

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    -

    Requisition ID: 208079

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    The Business Operations team provides Customer Insights, Data and Analytics (CID&A) team with risk management controls and support for third party vendors, audits, regulatory and compliance matters, contract staffing, premises and Business Continuity among other functions. The Senior Manager of Business Support leads a team of motivate individuals who enable CID&A to execute its objectives efficiently while also protecting the bank.

    +



    Is this role right for you? In this role you will:

    +
    • Build and manage an overall view of Operational Performance across different areas to ensure all processes are aligned to team goals and overall CID&A strategy.
    • Create business strategies, plans and initiatives that are executed / delivered in compliance with governing regulations, SLAs, internal policies and procedures by working closely with Business Lines and other CID&A Teams.
    • Support the Director, Business Operations in planning strategy, initiatives, and enhancements. Create and manage a portfolio view of key operational processes in CID&A and supports the creation SLAs and KPIs, reviews processes end to end and champion process optimization.
    • Lead and collaborate with Business Lines and other CID&A teams to achieve strategic outcomes for CID&A
    • Act as main point of contact in CID&A for audit and second line, responsible for working across CID&A stakeholders in tracking and reporting all findings and issues.
    • Supports the Director, Business Operations, who provides daily oversight to the Business Operation stream, along with ongoing guidance, coaching and mentorship to team members.
    • Ensures all Operational requests are handled accurately and efficiently to ensure excellent customer service.
    • Review Operational Metrics and looks for ways to streamline existing procedures and KPIs to achieve operational efficiencies and improve customer service, while minimizing risk to the Bank.
    • Ensures documentation and procedures are updated to reflect changes in requirements.
    • Ensures timely submission of accurate management information to the Bank’s senior executives, as required.
    • Makes prudent/informed decisions within assigned limits and escalates any exceptions / issues along with recommendations and/or solutions to senior management as appropriate.
    • +
    +



    Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

    +


    +
    • Experience coaching teams to higher performance with processes and skill building
    • Well-developed communication skills including precise articulation of ideas and opinions.
    • Excellent organizational skills and attention to detail.
    • Strong project management skills.
    • Strong working knowledge of industry practices
    • Strong analytical, planning and reporting abilities
    • Experience with JIRA, Confluence, CA-PPM, MS Project and related project delivery methodologies are an asset.
    • Experience with Process Engineering and Optimization
    • Hands on experience with Tableau, PowerBI, or other data visualization tools
    • +
    +

    What's in it for you?

    +


    • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
    • A rewarding career path with diverse opportunities for professional development
    • Internal training to support your growth and enhance your skills.
    • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
    • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
    • Hybrid Work Environment

    -

    SOAR: Indigenous Peoples New Graduate Development Program – June 2025

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Regulatory-Compliance-and-Risk-Management-CID&A-ON-M5H1H1/585154817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839840-senior-manager-regulatory-compliance-and-risk-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Regulatory-Compliance-and-Risk-Management-CID&A-ON-M5H1H1/585154817/,draft,2024-10-03T16:31:04.814Z,import-xml-feed:Scotiabank,,,,,,, +da219f74-e0b3-4c83-afad-11fa6f39cb8d,344839853,Scotiabank,GBM - Regulatory and Business Initiatives Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:06.728Z,"

    -

    Graduating Students (24 months) *Remote/Hybrid*

    -

    Start Date: June 2025

    +

    Requisition ID: 206357
    Employee Referral Program – Potential Reward:

    We are committed to investing in our employees and helping you continue your career at Scotiabank.

    -

    Location: Toronto, Ontario

    +

    GBM – Regulatory and Business Initiatives Internship/Co-Op – Winter 2025

    -

    Application Deadline: 03/14/2025

    -

    -

    Who Are We?

    +

    Term: January – April 2025

    +

    Application Deadline: 10/18/2024

    +

    Location: 40 Temperance Street, Toronto

    -

    SOAR is Scotiabank’s 24-month development program designed exclusively for Indigenous Peoples completing post-secondary education. Our new graduate rotational programs provide the coach-supported opportunities to learn, practice, and apply the skills required to succeed at Scotiabank. We recognize the important contributions and perspectives that Indigenous Peoples provide our society and are committed to removing systematic barriers that have, in the past made it difficult for Indigenous Peoples to obtain meaningful careers in banking.

    +

    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

    -

    This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank. Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.).

    -

    -

    Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

    +

    Who are we:

    +

    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals.  We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

    +

    +

    During your internship you will support the Regulatory and Business Initiatives (RBI) project team in managing the program office and ensuring that initiatives are completed as requested by the senior management of Global Capital Markets and pursuant to the deadlines for compliance set by prudential and market regulators.  Currently, the team is responsible for overseeing all aspects of compliance with the Dodd Frank Act legislation under Title VII, the Volcker rule, European Market Infrastructure Regulation (EMIR), Markets in Financial Instruments Directive II (MIFID II) and Scotiabank’s participation in the Canadian Financial Markets Infrastructure Committee tasked with ensuring Canada meets its G20 commitments with respect to OTC derivatives. 

    -
    • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)

    • You have or will complete an apprenticeship, certificate, diploma, undergraduate or graduate degree between April 2023 – June 2025

    • You love to learn and envision yourself working for an international organization that heavily invests in your future.

    • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

    • You’re interested in a career within the financial industry

    • You want to learn about various areas within the bank

    • You’re interested in having an impact with your peers and community

    • You want a culturally safe and supportive environment that helps you thrive to achieve your goals

    • +

      Is this role right for you? In this role, you will:

      +
      • Provide support to assigned Project Manager or Program Manager as part of a team of regulatory change management professionals

      -

      -

      What’s in it for you?

      -

      -
      • You’ll be part of a diverse, collaborative, innovative, and inclusive team.

      • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.

      • A dedicated Program Manager to support with your learning, goals, and development.

      • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.

      • Individualized development plans, mentorship, and exclusive access to leaders.

      • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.

      • Opportunities to participate in cultural programming and Indigenous professional development series.

      • Networking opportunities with Scotiabank’s Indigenous Associates.

      • Health and wellbeing workshops focusing on Indigenous knowing and being

      • +
        • Assist in the preparation of project artifacts and templates that ensure business input is provided to bridge the gap between rules requirements and current business practice

        • +
        +
        • Assist in the preparation of presentation materials, and progress reports to stakeholders, including senior management

        • +
        +
        • Attend program meetings, and serve as meetings secretary when required

        • +
        +
        • Maintain databases and internal tools used for tracking project progress, regulatory developments and documentation

        • +
        +
        • Conduct research, and one-off projects from time to time when required

        -

        -

        How do I apply?

        -

        -

        For students, we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this sounds too good to be true, but for students applying to one of our co-ops, internships or TILT new grad programs we are no longer requiring resumes. Instead, we ask that as part of your application, you complete all three below:

        -
        1. Complete your PLUM Profile here -
        2. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your plum to show us you’ve completed it, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it. Alternatively, you can submit a resume if you want, we just will not be relying on it when we assess you.
        3. -
        -

        -

        *To be considered, you must complete all steps above.

        +

        Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

        +
        • You are currently enrolled in post-secondary education.

        • +
        +
        • You love to learn and envision yourself working for an international organization that heavily invests in your future.

        • +
        +
        • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

        • +
        +
        • Currently pursuing a Bachelors/Advanced Degree in business, finance, engineering, and/or law

        • +
        +
        • Interest in and knowledge of the capital markets business

        • +
        +
        • Experience working on a major project and/or initiative team

        • +
        +
        • Comfortable in dealing with ambiguity and matrix based environment

        • +
        +
        • Excellent written and oral communication skills.

        • +
        +
        • Advanced skill in MS Suite particularly Excel and Access

        • +
        +
        • Considerable initiative, creativity and good judgment are necessary.

        • +
        +
        • A high level of energy, commitment and a strong sense of teamwork are needed to succeed in the role.

        • +

        -

        Location(s): Canada : Ontario : Toronto

        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:05.053Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118829-soar-indigenous-peoples-development-program-june-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,draft,2024-10-21T16:31:05.046Z,import-xml-feed:Scotiabank,,,,,,, -312af3d1-2721-425e-9335-2b7579237bfb,345788099,KPMG,SOC Analyst - L2,on_site,"Toronto, Canada",2024-10-10T16:35:02.805Z,"Overview

    At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

    Are you a talented individual with a proven track record on executing project deliverables.

    Our Cyber Managed Services team in Toronto is looking for a professional like you with the skills and drive to make a real difference.


    What you will do

      -
    • -Receive escalation from L1 SOC analyst to determine increased risk to the business -
    • -
    • Review log data against security technology rules and filters to propose further improvements to threat detection
    • -
    • -Coordinate with SIEM Engineers to tune events, improve event correlation, performance, and alerts -
    • -
    • Develop, create and maintain incident response playbooks. This includes identifying areas of potential improvement by reviewing redundant tasks, security incidents and providing task automation suggestions
    • -
    • Perform log analysis from multiple data sources to analyze technical data, extracting Tactics, Techniques, Procedures (TTP) and malware attributes
    • -
    • Provide support in the analysis of critical events and security tickets to evaluate the effectiveness and efficiency of the incident management process and develop any necessary improvement plans.
    • -
    • Maintain up-to-date understanding of security threats, countermeasures, security tools and Cloud Security and SaaS technologies.
    • -
    • Experience tracking incidents against a framework such as SANS and MITRE ATT&CK.
    • -
    • Provide technical and thought leadership within SOC by teaching other SOC Analysts about both traditional and unconventional ways to detect, analyze, and mitigate security incidents.
    • -
    • Act as Subject Matter Expert (SME) trainer for analyst functions, providing support on more involved cases and guiding the activity of other T1/T2 analysts through collaboration.
    • -
    • Act as the lead coordinator for the Incident Response function and as designated lead on customer on-boarding projects to ensure a successful transition to SOC for security monitoring services.
    • -

    What you bring to the role

      -
    • Highly technical with at least 3 to 5 years of relevant experience as an analyst in Cyber, IT Security or a SOC
    • -
    • Any industry relevant(s) certifications such as CISSP, CISM, SANS, CISA, CompTIA Security+ or CompTIA CySA+, GIAC is required.
    • -
    • -Hands-on experience with Microsoft Sentinel or other SIEM and SOAR technologies, creating and running queries, and performing analytics examination of logs and console events. -
    • -
    • Hands-on experience with Microsoft Defender Endpoint, CSPM/CWP or any similar vendor technologies, ability to understand vulnerabilities with insights from industry-leading security research and provide recommendation to external clients
    • -
    • Experience with Malware Analysis and reverse engineering through static or dynamic analysis.
    • -
    • Experience and demonstrated success in business development activities, including research and analysis, processes development/improvement, proposal writing etc.
    • -
    • Experience evaluating the design and operating effectiveness of various control frameworks and standards, including understanding process level risks, technology risks, assessing the adequacy of mitigating controls and providing opportunities for enhancement
    • -
    • Experience in enterprise asset lifecycle management, with a strong understanding of relating security operations such as patch management, vulnerability management, security architecture, and endpoint management
    • -
    • Experience and/or strong understanding of cloud transformation, cloud architecture, and cloud security operations.
    • -
    • Experience leading and/or managing complex projects
    • -
    • Effectively communicate and present strategies, solutions, insights, and reports to a mix of stakeholders at various levels
    • -
    • Experience in a leadership role, providing engaged mentorship and knowledge sharing to the team and junior/intermediate level analysts
    • -

    Providing you with the support you need to be at your best

    For more information about KPMG in Canada’s Benefits and well-being, click here.


    Our Values, The KPMG Way

    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

    Adjustments and accommodations throughout the recruitment process

    At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

    To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

    For information about accessible employment at KPMG, please visit our accessibility page.

    ",,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-09T16:35:02.815Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788099-soc-analyst-l2-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,draft,2024-10-10T16:35:02.805Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -b25e3f14-4ef9-47aa-bd16-13775d822fd6,347009871,OMERS,"Analyst/Associate, Investment Risk",on_site,"Ontario, Canada",2024-10-20T08:58:02.206Z,"
    -

    Choose a workplace that empowers your impact.

    -

    Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

    -

    -

    We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

    -

    -

    Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

    -

    -

    Don’t just work anywhere — come build tomorrow together with us.

    -

    -

    Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

    -

    -

    -

    We are looking for an Analyst or Associate to join our Oxford Investment Risk team in Toronto. Under the leadership of the Head of Risk, the Investment Risk group provides investment risk management advisory and oversight for Oxford, including risk analysis and review for potential acquisitions, dispositions, and developments. In this role you will have the opportunity to support strategic and emerging risk initiatives, collaborate with investment, development, asset management, finance and legal functions across Oxford’s global platform, and work closely with the OMERS risk team. You will also play a key role in creating/improving the team’s infrastructure and processes and expanding its capabilities.

    -

    -

    You will work with and learn from a diverse team, collaborate with different groups across OMERS and Oxford, and provide insights to decision-makers. If you\'re a self-starter with relevant experience and strong problem-solving skills, we encourage you to apply!

    -

    -

    This is a unique opportunity that offers you the ability to:

    -
      -
    • Broaden your internal network with investment professionals across Oxford and the Risk teams of both Oxford and OMERS
    • -
    • Obtain visibility with Executive and Risk Leadership, through the development and presentation of insights either with transaction risk reviews, risk topic deep dives, or portfolio risk reporting/analysis
    • -
    • Develop a deep understanding of the entire Oxford investment portfolio, including value creation strategies and current occupier/investment market conditions
    • -
    • Learn about real estate investment risk management practices
    • -
    • Support the development of Oxford’s Investment Risk function, in coordination with the OMERS risk team
    • -
    • Leverage experience from your existing role within Oxford or OMERS to enhance the Oxford Investment Risk group’s practices
    • +

      What’s in it for you?

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

      -

      -

      As a member of our team, you will be responsible for:

      -
        -
      • Contributing to asset and portfolio risk reviews/analysis, where you will develop a variety of fundamental and quantitative analytics to assess risks in our assets/portfolios and prepare presentations to discuss key insights and takeaways with the Risk leadership team.
      • -
      • Contributing to Transaction Risk Reviews for new acquisitions, dispositions or developments across Oxford by working closely with the transaction teams to ensure key risks are properly identified, well understood, and incorporated into the investment assumptions.
      • -
      • -Drafting Transaction Risk Reports that are submitted to the Oxford Investment Committee (Oxford IC), the Transaction Advisory Committee (TAC), and/or the Board Investment Committee (IC), discussing the key risks and assessing the implications of the proposed investments/dispositions for the broader portfolio. -
      • -
      • Contributing to projects / deep dives across a variety of fields, such as risk modeling, scenario analysis, liquidity, climate risk, customized risk and/or performance benchmarks.
      • +
        • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

        -

        -

        To succeed in this role, you should have:

        -
          -
        • - An undergraduate or post-graduate degree in Economics, Real Estate, Commerce, Finance, or Engineering -
        • -
        • Possession of (or working towards) a CFA, FRM and/or a professional accounting designation considered an asset
        • -
        • 2 to 5 years of experience in a real estate, risk, or finance-related role
        • -
        • Strong inductive, deductive, and critical thinking skills
        • -
        • A strong understanding of real estate or private investment asset classes, including different valuation methodologies used and portfolio construction concepts
        • -
        • Financial Statement Analysis knowledge such as Equity Research and/or Credit Analysis experience is a plus
        • -
        • Excellent communication and presentation skills with an ability to communicate complex information in a digestible format to senior audiences
        • -
        • Self-motivated individual with a strong work ethic and a high level of attention to detail
        • -
        • Ability to work well under pressure with multiple or competing deadlines
        • -
        • Ability to work effectively in a team environment and independently as required
        • -
        • Highly proficient in Microsoft Excel, Word, PowerPoint
        • -
        • Knowledge of Data Visualization (e.g., PowerBI), Statistical Analysis software (R, SAS, SPSS), programming (Python, VBA), or Data Science considered an asset
        • +
          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

          • +
          +
          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

          -

          -

          #LI-Hybrid

          -

          -

          -

          Oxford\'s purpose is to strengthen economies and communities through real estate.

          -

          Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

          -

          -

          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

          -
    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst-Associate--Investment-Risk_JR-6560?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-19T08:58:02.207Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347009871-analyst-associate-investment-risk-at-omers,,draft,2024-10-20T08:58:02.206Z,import-xml-feed:Selenium-Scraper,,,,,,, -b0e34091-f64d-461f-92bc-461a7c7e6343,346652963,Scotiabank,"Senior Audit Manager, IT Audit",on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.595Z,"

    +

    How do I apply?

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +
    1. Complete your PLUM Profile here and save as a screenshot.

    2. +
    +
    1. Complete a short one-way video interview here.

    2. +
    +
    1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    2. +

    -

    Requisition ID: 209118

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    -

    Purpose:
    The Audit Department is the 3rd Line of Defense and plays a key role in the internal control system of the Bank. Its mandate is to provide enterprise-wide, independent, objective assurance over the design and operation of the Bank’s internal control, risk management and governance processes.

    -


    The objective of this position is to fulfill a Senior Manager role, within a team of IT audit professionals to assess the design and operational effectiveness of internal controls relating to IT technology, applications, data, third party, risk management, projects and related processes supporting businesses throughout Bank. Leads and oversees the Audit Function globally ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

    -

    Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    -

    Accountabilities

    -
    • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

    • Act primarily as Officer in Charge (OIC) for assigned projects, processes and units. May act as Audit Principal in some low to medium complexity assignments.

    • Ensure Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

    • Assists in the development and execution of a comprehensive and strategic audit plan. Ensures auditable entities remain within cycle and conducts ongoing monitoring activities to stay abreast of changes (business/industry/regulatory) / emerging risks / themes or systemic issues that may impact the risk assessment of the audit universe and the audit plan. May also execute assigned audit activities independently as a team member under the direction of the OIC on assignments.

    • Lead the execution, planning, and reporting on the assigned audit projects. Obtains a thorough understanding of the business/unit/process and associated risks, develops a risk-based audit plan/procedures, and schedules timing and resources.

    • Manages and supervises end- to- end process of the execution of the audit, and ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. Completes timely review of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and are communicated timely to management.

    • Ensures audit results are gathered, determine the root cause of the problem and the associated impact and report accordingly. Confirm the audit results with the auditee. Present an overview of the audit results and findings to line management. Follow-up for corrective action/progress against any reported issues. Escalate where necessary.

    • Ensures audit reports are written to a consistent high standard and are finalized within established department metrics.

    • Carry out specific projects or investigations of a moderate or high complexity and/or confidential nature. Plan, document and seek agreement in advance to the project approach and confirm conclusions upon completion in writing.

    • Manage self-development by confirming/communicating job expectations, identifying mentors/coaches and enquiring about training needs, ensuring timely completion of performance appraisals, recruiting, interviewing and selecting candidates, manages assigned staff.

    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

    • -
    -


    Education/Experience:

    -
    • Extensive experience in auditing IT processes general controls (ITGC), application, data, third party, technology controls and Project audits. Technology Risk Management experience in financial services industry is a significant advantage.

    • Strong people management and coaching/development skills.

    • Strong project management, planning, and organizational skills.

    • Highly proficient at applying risk-based auditing standards, practices, techniques, processes and methodologies to performance and review of audits.

    • Working knowledge of the operations and regulatory environments of each of the audit units globally, as required for specific areas of assigned responsibility.

    • Ability to supervise multiple projects at any given time.

    • Highly developed interpersonal and communication skills (verbal and written) to work with staff and management at various levels.

    • Strong analytical skills and proficiency in the use of data analytic or visualization tools. Experience with Python, JavaScript, and Data Analytics and using automation and data analytics tools including SAS, ACL, advanced Excel, etc.

    • Proven ability to work in high levels of ambiguity and in a rapidly changing environment.

    • Bachelor's degree in Information Technology, Computer Science or related field.

    • One or more of the following certifications: CIA, CISA, CRISC, CDMP, CIMP

    • -

    -

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Audit-Manager%2C-IT-Audit-ON/585669717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-16T16:31:03.606Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346652963-senior-audit-manager-it-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Audit-Manager%2C-IT-Audit-ON/585669717/,draft,2024-10-17T16:31:03.595Z,import-xml-feed:Scotiabank,,,,,,, +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

    ",,https://jobs.scotiabank.com/job/Toronto-GBM-Regulatory-and-Business-Initiatives-InternshipCo-Op-Winter-2025-ON/584239717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839853-gbm-regulatory-and-business-initiatives-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Regulatory-and-Business-Initiatives-InternshipCo-Op-Winter-2025-ON/584239717/,draft,2024-10-03T16:31:06.728Z,import-xml-feed:Scotiabank,,,,,,, 7c526b21-fe87-451f-9754-5626361c2e11,343661454,Google,"Senior UX Writer and Content Designer, Google Ads",on_site,"Toronto, ON, Canada",2024-09-26T08:34:02.665Z,"

    Senior UX Writer and Content Designer, Google Ads

    @@ -2505,258 +1815,168 @@ d41f9e9c-743f-4584-8a31-fc502b662d7c,343713825,Magna International,"Implementati

    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

    ",,https://jobs.magna.com/job/Aurora-Implementation-Lead%2C-Payroll-ONTA-L4G-0G9/577870117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-26T16:41:05.526Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343713825-implementation-lead-payroll-at-magna-international,https://jobs.magna.com/job/Aurora-Implementation-Lead%2C-Payroll-ONTA-L4G-0G9/577870117/,draft,2024-09-26T16:41:05.526Z,import-xml-feed:Scrapy-Scraper,,,,,,, -693ed601-5806-45e8-8b97-2ec436d57170,344839961,Magna International,Accounts Payable Advisor,on_site,"Guelph, ONTARIO, CA, N1H 1A4",2024-10-03T16:41:03.305Z,"
    -
    -

    About the Role

    +25f6761a-7c8e-4275-84c0-555d42fe7df6,345512491,Google,"Data Analytics Sales Specialist III, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-08T08:34:01.768Z,"
    +
    +

    Data Analytics Sales Specialist III, Google Cloud

    +
    -

    Magna offers excellent Medical and Dental Benefits, after one month of service; 90% coverage + $2,000/year for dental coverage, Profit Sharing, Cafeteria and Gym on-site, Education assistance, Employee barbecue, Christmas lunches and Magna employee discounts for products and services.

    -

    -

    We are searching for an Accounts Payable Advisor. The successful candidate will be responsible for paying suppliers, problem identification and resolution of accounts payable issues. Assisting departments with issues related to supplier payment information and completion of month-end reporting.

    -
    +
    +
    +share
    -
    -

    Your Responsibilities

    -

    - Supports general accounts payable functions including payment to suppliers, resolution and reconciliation of supplier accounts, acting as a backup for accounts payable functions when required
    - Completes month-end accruals and report preparation
    - Assists with preparation of year-end audit books
    - Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health safety and environmental rules and regulations
    - Active involvement in 5S & CI initiatives
    - Performs other duties as required

    +
      +
    • +linkCopy link +
    • +
    • +emailEmail a friend +
    • +
    -
    -

    Who we are looking for

    -

    - Accounting College certificate or University courses in related field required
    - Minimum one year of previous accounting experience required
    - Experience with accounts payable an asset
    - Excellent communication, analytical, and problem-solving skills
    - Outstanding organizational skills with the ability to work independently
    - Strong data entry experience required
    - Advanced Excel experience required
    - Previous experience using MAPICS system preferred
    - Customer service skills required for interaction in supplier payment issue resolution
    - Accuracy/attention to detail required
    - Excellent time management skills to deal with a heavy workload

    +
    -
    -

    Your preferred qualifications

    -
    -

    Accommodations for disabilities in relation to the job selection process are available upon request.

    -

    Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

    +
    +corporate_fareGoogleplaceToronto, ON, Canada
    +
    +
    +
    +bar_chartAdvanced
    +
    +

    Advanced

    +
    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
    +
    -
    -

    What we offer

    -

    At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

    +
    +
    +
    +Apply
    +
    +
    +
    +
    +
    +share
    -
    -

    Site Benefits

    -

    Cafeteria and Gym on-site

    +
      +
    • +linkCopy link +
    • +
    • +emailEmail a friend +
    • +
    -
    -

    Awareness. Unity. Empowerment.

    -

    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

    +
    -
    ",,https://jobs.magna.com/job/Guelph-Accounts-Payable-Advisor-ONTA-N1H-1A4/577148117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-02T16:41:03.305Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839961-accounts-payable-advisor-at-magna-international,https://jobs.magna.com/job/Guelph-Accounts-Payable-Advisor-ONTA-N1H-1A4/577148117/,draft,2024-10-03T16:41:03.305Z,import-xml-feed:Scrapy-Scraper,,,,,,, -c3107d9a-dc36-4877-8889-7b11496e54f8,344839840,Scotiabank,Senior Manager Regulatory Compliance and Risk Management - CID&A,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:04.814Z,"

    -

    -

    -

    -

    Requisition ID: 208265

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    -

    -

    The Business Operations team provides Customer Insights, Data and Analytics (CID&A) team with risk management controls and support for third party vendors, audits, regulatory and compliance matters, contract staffing, premises and Business Continuity among other functions. The Senior Manager of Business Support leads a team of motivate individuals who enable CID&A to execute its objectives efficiently while also protecting the bank.

    -



    Is this role right for you? In this role you will:

    -
    • Build and manage an overall view of Operational Performance across different areas to ensure all processes are aligned to team goals and overall CID&A strategy.
    • Create business strategies, plans and initiatives that are executed / delivered in compliance with governing regulations, SLAs, internal policies and procedures by working closely with Business Lines and other CID&A Teams.
    • Support the Director, Business Operations in planning strategy, initiatives, and enhancements. Create and manage a portfolio view of key operational processes in CID&A and supports the creation SLAs and KPIs, reviews processes end to end and champion process optimization.
    • Lead and collaborate with Business Lines and other CID&A teams to achieve strategic outcomes for CID&A
    • Act as main point of contact in CID&A for audit and second line, responsible for working across CID&A stakeholders in tracking and reporting all findings and issues.
    • Supports the Director, Business Operations, who provides daily oversight to the Business Operation stream, along with ongoing guidance, coaching and mentorship to team members.
    • Ensures all Operational requests are handled accurately and efficiently to ensure excellent customer service.
    • Review Operational Metrics and looks for ways to streamline existing procedures and KPIs to achieve operational efficiencies and improve customer service, while minimizing risk to the Bank.
    • Ensures documentation and procedures are updated to reflect changes in requirements.
    • Ensures timely submission of accurate management information to the Bank’s senior executives, as required.
    • Makes prudent/informed decisions within assigned limits and escalates any exceptions / issues along with recommendations and/or solutions to senior management as appropriate.
    • -
    -



    Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

    -


    -
    • Experience coaching teams to higher performance with processes and skill building
    • Well-developed communication skills including precise articulation of ideas and opinions.
    • Excellent organizational skills and attention to detail.
    • Strong project management skills.
    • Strong working knowledge of industry practices
    • Strong analytical, planning and reporting abilities
    • Experience with JIRA, Confluence, CA-PPM, MS Project and related project delivery methodologies are an asset.
    • Experience with Process Engineering and Optimization
    • Hands on experience with Tableau, PowerBI, or other data visualization tools
    • -
    -

    What's in it for you?

    -


    • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
    • A rewarding career path with diverse opportunities for professional development
    • Internal training to support your growth and enhance your skills.
    • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
    • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
    • Hybrid Work Environment

    -

    -

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Regulatory-Compliance-and-Risk-Management-CID&A-ON-M5H1H1/585154817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839840-senior-manager-regulatory-compliance-and-risk-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Regulatory-Compliance-and-Risk-Management-CID&A-ON-M5H1H1/585154817/,draft,2024-10-03T16:31:04.814Z,import-xml-feed:Scotiabank,,,,,,, -da219f74-e0b3-4c83-afad-11fa6f39cb8d,344839853,Scotiabank,GBM - Regulatory and Business Initiatives Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:06.728Z,"

    -

    -

    -

    Requisition ID: 206357
    Employee Referral Program – Potential Reward:

    We are committed to investing in our employees and helping you continue your career at Scotiabank.

    -

    -

    GBM – Regulatory and Business Initiatives Internship/Co-Op – Winter 2025

    -

    -

    Term: January – April 2025

    -

    Application Deadline: 10/18/2024

    -

    Location: 40 Temperance Street, Toronto

    -

    -

    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

    -

    -

    Who are we:

    -

    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals.  We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

    -

    -

    During your internship you will support the Regulatory and Business Initiatives (RBI) project team in managing the program office and ensuring that initiatives are completed as requested by the senior management of Global Capital Markets and pursuant to the deadlines for compliance set by prudential and market regulators.  Currently, the team is responsible for overseeing all aspects of compliance with the Dodd Frank Act legislation under Title VII, the Volcker rule, European Market Infrastructure Regulation (EMIR), Markets in Financial Instruments Directive II (MIFID II) and Scotiabank’s participation in the Canadian Financial Markets Infrastructure Committee tasked with ensuring Canada meets its G20 commitments with respect to OTC derivatives. 

    -

    -

    Is this role right for you? In this role, you will:

    -
    • Provide support to assigned Project Manager or Program Manager as part of a team of regulatory change management professionals

    • -
    -
    • Assist in the preparation of project artifacts and templates that ensure business input is provided to bridge the gap between rules requirements and current business practice

    • -
    -
    • Assist in the preparation of presentation materials, and progress reports to stakeholders, including senior management

    • -
    -
    • Attend program meetings, and serve as meetings secretary when required

    • -
    -
    • Maintain databases and internal tools used for tracking project progress, regulatory developments and documentation

    • -
    -
    • Conduct research, and one-off projects from time to time when required

    • -
    -

    -

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    -
    • You are currently enrolled in post-secondary education.

    • -
    -
    • You love to learn and envision yourself working for an international organization that heavily invests in your future.

    • -
    -
    • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

    • -
    -
    • Currently pursuing a Bachelors/Advanced Degree in business, finance, engineering, and/or law

    • -
    -
    • Interest in and knowledge of the capital markets business

    • -
    -
    • Experience working on a major project and/or initiative team

    • -
    -
    • Comfortable in dealing with ambiguity and matrix based environment

    • -
    -
    • Excellent written and oral communication skills.

    • -
    -
    • Advanced skill in MS Suite particularly Excel and Access

    • -
    -
    • Considerable initiative, creativity and good judgment are necessary.

    • -
    -
    • A high level of energy, commitment and a strong sense of teamwork are needed to succeed in the role.

    • -
    -

    -

    What’s in it for you?

    -
    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

    • -
    -
    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

    • -
    -
    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

    • -
    -
    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

    • +
      +

      Minimum qualifications:

      +
        +
      • Bachelor\'s degree or equivalent practical experience.
        +
      • +
      • 10 years of experience in a sales role in the enterprise software or cloud space.
        +
      • +
      • Experience selling data analytics or data management technologies to clients.
        +
      -

      -

      How do I apply?

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -

      -
      1. Complete your PLUM Profile here and save as a screenshot.

      2. -
      -
      1. Complete a short one-way video interview here.

      2. -
      -
      1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      2. -
      -

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      -

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

    ",,https://jobs.scotiabank.com/job/Toronto-GBM-Regulatory-and-Business-Initiatives-InternshipCo-Op-Winter-2025-ON/584239717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839853-gbm-regulatory-and-business-initiatives-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Regulatory-and-Business-Initiatives-InternshipCo-Op-Winter-2025-ON/584239717/,draft,2024-10-03T16:31:06.728Z,import-xml-feed:Scotiabank,,,,,,, -4c0e0b23-3cf5-41a3-be5f-1d2f42287252,344787657,OMERS,"Product Owner, Pensions Data",on_site,"Ontario, Canada",2024-10-03T08:58:02.748Z,"
    -

    Choose a workplace that empowers your impact.

    -

    Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

    -

    -

    We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

    -

    -

    Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

    -

    -

    Don’t just work anywhere — come build tomorrow together with us.

    -

    -

    Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

    -

    -

    -

    We are looking for a highly motivated Product Owner to join our Pensions Data Team in Toronto. You will be part of growing a data-driven product development team striving to transform OMERS employees, members, employers and stakeholders’ experiences through the deployment of high-quality data products and visualizations. We are striving to provide information and actionable insights to improve experiences for members, stakeholders, employers and OMERS teams.

    -

    The Pensions Data Team is an exciting team focused on providing real value through high-quality information and actionable data-driven insights. We encourage innovation and empower open thinking for all our team members. We’re excited for the opportunity to have highly driven and impactful talent join our team!

    -

    -

    As a member of this team, you will be responsible for:

    +

    Preferred qualifications:

      -
    • Maximize the product value of analytics and reporting through leveraging and understanding user feedback, stakeholder opportunities and the technology landscape

    • -
    • Engaging with stakeholders and subject matter experts to gather and refine feature requirements

    • -
    • Clearly expressing requirements through documentation of user stories and epics

    • -
    • Plan and prioritize the product backlog items to best achieve goals

    • -
    • Manage product design, dependencies and trade-offs and ability to resolve cross-team interdependencies

    • -
    • Ensure work is focused to deliver maximum value

    • -
    • Clear and comprehensive communication with the agile team regarding feature work, goals and deliverables

    • -
    • Drive iteration and release plans, with a focused attention to work progress in sprint and to addressing issues during sprints

    • -
    • Communicate and promote product release plans, and set expectations for the delivery of new features and functionality

    • -
    • Participate in close collaboration with Product Managers, Agile Development Leads, Designers, DevOps, QAs, Technical Leads and our Technical Development Squads in order to guide development of our product vision

    • -
    • Maintaining a knowledge of agile methodologies, disciplines, practices and techniques

    • +
    • Experience carrying and exceeding business goals in a sales role.
      +
    • +
    • Experience with data analytics technology stack.
      +
    • +
    • Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
      +
    • +
    • Experience prioritizing and planning sales activity and transformation strategies within business cycles aligned to data and analytics.
      +
    • +
    • Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
      +
    • +
    • Knowledge of trends, products, and solutions in cloud and data and analytics (e.g., BigQuery, Looker, Dataproc, Pub/Sub).
      +
    -

    -

    To succeed in this role:

    +
    +
    +

    About the job

    +

    As a Data Analytics Sales Specialist, you will help us grow our data analytics business by building and expanding relationships with new and existing customers.

    +

    In this role, you will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions teams to inform our product solutions roadmap. You will shape customers cloud and data analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply the impact of the team to drive overall value for Google Cloud.

    +

    Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

    +
    +
    +

    Responsibilities

      -
    • You are a self-starter who uses sharp analytical and innovative problem-solving skills to recommend business solutions to drive results and solve problems

    • -
    • You have passion for working with people, empathy and a knack for building great relationships with your colleagues

    • -
    • You have outstanding communication, with the ability to effectively interpret ideas and information, and present to diverse audiences

    • -
    • You are adaptable to change, have the ability to manage multiple concurrent demands and make effective judgments as to priorities

    • -
    • Experience in data analytics and reporting, data warehousing and/or business intelligence

    • -
    • 3+ years of experience as Product Owner or Business Analyst in an Agile (Scrum) environment and/or Actuarial Sciences, Financial Services and Banking, or Pensions

    • -
    • Experience using JIRA or other user story and task management tool

    • -
    • Experience using Microsoft Power BI or similar data visualization software

    • -
    • Experience in SQL and Excel

    • +
    • +Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term direction of accounts.
      +
    • +
    • Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting the territory’s business.
      +
    • +
    • Work with Google accounts and cross-functional teams (e.g., Customer Developer, Marketing, Customer Success, Product, Developer, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer and provide excellent prospect and customer experience.
      +
    • +
    • +Develop analytics solution roadmaps with customers, understand their unique and complex requirements on a business and technical level.
      +
    • +
    • +Work with multiple customers simultaneously, understand each customer’s technology footprint and strategy, growth plans, business drivers, and how they can transform their business using our technologies.
      +
    -

    -

    We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 1 day per week.

    -

    -

    -

    As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

    -

    -

    From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

    -
    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Product-Owner--Pensions-Data_JR-6592-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-02T08:58:02.748Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787657-product-owner-pensions-data-at-omers,,draft,2024-10-03T08:58:02.748Z,import-xml-feed:Selenium-Scraper,,,,,,, -493194b1-0cc2-4b69-9aa9-0974583e37e2,344787006,BMO Financial Group,"Manager, Strategic Initiatives",on_site,"Ontario, Canada",2024-10-03T08:18:03.279Z,"
    -

    Application Deadline:

    10/19/2024

    +
    +
    +

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

    +

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    +

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    +

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    +

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    +
    +
    ",,https://www.google.com/about/careers/applications/jobs/results/112714448572949190-data-analytics-sales-specialist-iii-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345512491-data-analytics-sales-specialist-iii-google-cloud-at-google,,draft,2024-10-08T08:34:01.768Z,import-xml-feed:Google-Job-Feed,,,,,,, +6830e57b-a362-4918-9d97-59fe085919d8,345756903,BMO Financial Group,"Manager, Quantitative Analysis, Strategy, and Insights",on_site,"Ontario, Canada",2024-10-10T08:18:04.030Z,"
    +

    Application Deadline:

    10/11/2024

    -

    Address:

    33 Dundas Street West

    +

    Address:

    100 King Street West

    Job Family Group:

    Data Analytics & Reporting

    -

    This is currently a hybrid role with an expectation to be in the Toronto office 2 days per week

    -

    Manager, Strategic Initiatives

    -

    -

    The Manager, Strategic Initiatives, reporting to Senior Manager, will be accountable for project managing and designing customer communication initiatives to drive customer engagement and product balance growth. The Manager, Strategic Initiatives will help business partners make data informed decisions to find new portfolio/customer experience growth opportunities through data analytics. This role works collaboratively with many partners across Personal and Commercial Bank, Marketing and Technology & Operations to execute strategy. The manager will be supporting Retail Investments and Wealth products.

    -

    -

    If you get excited by analytics, delivery, process improvement and impact analysis then this role is for you.

    -

    -

    ______________________________________________________________________________

    -

    -

    What you will be doing:

    -

    -

    Customer acquisition, customer experience enhancement, regulatory compliance and revenue growth - You are passionate about growing our bank. You will support product partners by executing against the growth and engagement strategy, working with our internal and external partners on programs, campaigns and enhancements that may be needed to excel.

    -

    -

    Cross-functional Collaboration, Planning & Execution - You will partner with stakeholders from across BMO (e.g., our Frontline, Technology, Marketing, Product, and Digital teams) to support client growth and experience focused strategic initiatives: define and map end-to-end process, assess cost and feasibility, build business case, perform pre and post analysis and execute programs. Capture business requirements, establishing segmentation trees, targeting criteria, exclusions and ensuring that campaigns are designed to be measurable. You will support the creation of differentiated and profitable solutions that meet the needs of our banking partners to achieve defined measures of success.

    -

    -

    -

    Provide analytical insights to develop direct to consumer campaigns and opportunities

    -
      -
    • Contribute to the development of direct-to-consumer marketing plans, based on a thorough understanding of the data, analysis techniques and prior campaign learnings.
    • -
    • Accountable to deliver analytics, insights and reporting in line with both immediate and long-term business objectives
    • -
    • Contribute to the delivery of reports and presentations that evaluate and analyze the effectiveness of programs and initiatives
    • -
    • Develop and conduct pre-campaign analysis and insights to help drive business decisions
    • -
    -

    -

    Process management

    -
      -
    • Support the lead generation cycle by monitoring and tracking process issues, making recommendations to streamline, enhance and improve overall operations
    • -
    • Troubleshoot critical issues for immediate resolution to ensure the lead generation cycle remains on track and provide required support to Leads Managers
    • -
    • Develop business process documentation for selection of customer data extracts by a team of developers, and/or using CRM applications.
    • -
    • Develop business processes and documentation for automation of marketing activities.
    • -
    • Act as a project leader for small to medium sized projects
    • -
    -

    -

    -

    What we are looking for:

    -
      -
    • You\'re highly proactive and driven by collective success.
    • -
    • You act like an owner.
    • -
    • You can demonstrate experience with supporting multiple accountabilities.
    • -
    • You are creative and results oriented.
    • -
    • You enjoy uncertainty and ambiguity.
    • +

      Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

      +
        +
      • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
      • +
      • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
      • +
      • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
      • +
      • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
      • +
      • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
      • +
      • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
      • +
      • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
      • +
      • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
      • +
      • Performs experimental design approaches to validate finding or test hypotheses.
      • +
      • Uses the appropriate algorithms to discover patterns.
      • +
      • Builds effective relationships with internal/external stakeholders and ensures alignment.
      • +
      • Supports development of tools and delivers training for data analytics and AI.
      • +
      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
      • +
      • Leads/participates in the design, implementation and management of core business/group processes.
      • +
      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
      • +
      • Exercises judgment to identify, diagnose, and solve problems within given rules.
      • +
      • Works independently on a range of complex tasks, which may include unique situations.
      • +
      • +Broader work or accountabilities may be assigned as needed.
        Qualifications:
          +
        • Typically between 4 - 6 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
        • +
        • Experience in statistical analysis, data mining, and data cleansing / transformation.
        • +
        • Knowledge of visualization techniques and concepts (e.g, Power BI, SpotFire).
        • +
        • Knowledge of distributed computing and/or distributed databases.
        • +
        • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
        • +
        • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
        • +
        • Technical proficiency gained through education and/or business experience.
        • +
        • Verbal & written communication skills - In-depth.
        • +
        • Collaboration & team skills - In-depth.
        • +
        • Analytical and problem solving skills - In-depth.
        • +
        • Influence skills - In-depth.
        • +
        • Data driven decision making - In-depth.
        -

        -

        Knowledge:

        -
          -
        • Minimum 3 years of campaign or database marketing or delivery experience
        • -
        • Advance knowledge of customer relationship management, campaign design and development
        • -
        • Solid and proven background in business process improvement
        • -
        • Experience in data analytics, developing and executing direct marketing campaigns, analyzing marketing campaigns and initiatives
        • -
        • Knowledge of SQL , SAS and PowerBI preferred
        • -
        • Knowledge of financial services industry preferred
        • +

        Salary:

        -
        $68,000.00 - $126,000.00

        +
    $81,600.00 - $151,200.00

    Pay Type:

    Salaried

    The above represents BMO Financial Group’s pay range and type.

    @@ -2776,7 +1996,118 @@ da219f74-e0b3-4c83-afad-11fa6f39cb8d,344839853,Scotiabank,GBM - Regulatory and B

    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

    -
    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Strategic-Initiatives_R240025778-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-10T08:23:04.399Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787006-manager-strategic-initiatives-at-bmo-financial-group,,draft,2024-10-03T08:18:03.279Z,import-xml-feed:BMO-Job-Feed,,,,,,, +
    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis--Strategy--and-Insights_R240026068?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-14T08:23:03.231Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345756903-manager-quantitative-analysis-strategy-and-insights-at-bmo-financial-group,,draft,2024-10-10T08:18:04.030Z,import-xml-feed:BMO-Job-Feed,,,,,,, +816a60e0-1fc3-48e6-a2ad-2b29d5eb69a7,345788020,Scotiabank,Commercial Banking Analyst Intern Co-op Winter 2025 - Toronto (8 Months),on_site,Canada : Ontario : Toronto,2024-10-10T16:31:04.227Z,"

    +

    +

    +

    +

    Requisition ID: 206663

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Commercial Banking Analyst Co-op

    +

    Start Date: January 6th

    +

    Location: Toronto, ON

    +

    Application Deadline: 10/18/2024

    +

    +

    There's no better way to kickstart your career than to join Scotiabank! You will have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it!

    +

    +

    The Sales Effectiveness team operates within the larger framework of Commercial Strategy, Performance & Client Value. Our mission is to deliver impactful training and learning programs to all sectors of Commercial Banking. By doing so, we aim to enhance the client experience and optimize internal operations for greater efficiency.

    +

    +

    Contribute to the overall success of Commercial Banking by providing high-quality support, ensuring all activities comply with governing regulations, internal policies, and procedures. Build robust partnerships across the Bank to support the team effectively, enhancing operational efficiency and compliance.

    +

    +

    Scotiabank’s Commercial Banking professionals are committed to delivering advice. You will be a trusted business advisor offering a full suite of customized lending, deposit, cash management, and trade finance solutions to mid and large-sized businesses. Team players with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment, and our one-of-a-kind people-first culture. Our Commercial Banking professionals are committed to delivering advice and a full suite of customized lending, deposit, cash management and trade finance solutions to mid and large-sized businesses. Team members with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment. We are also committed to providing advancement opportunities for those individuals who have the ability, aspiration, and engagement to contribute at higher levels.

    +

    +

    Is this role right for you? In this role, you will:

    +

    +
    • Deepen partner and stakeholder relationships by understanding business needs, being a client champion, providing administrative care and providing actionable recommendations to support deliverables and ongoing initiatives
    • Manage internal mailbox and calendars
    • Coordinate logistics of meetings, including invitations, attendance lists, room bookings and requesting technical, audio-visual and catering support
    • Create and format presentations, project plans, and learning collateral to support various initiatives.
    • Collect and assimilate information necessary to make informed decisions
    • Respond to inquiries and requests in a timely manner and escalating, as required
    • Make it easy to do business by minimizing touch points to provide fast turnaround times
    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +
    • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
    • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
    • You have strong knowledge and understanding of financial statements and accounting principles
    • You have prior experience in providing customer needs-based advice and solutions
    • You have natural curiosity and passion for satisfying customer needs
    • You have analytical skills and strong attention to detail
    • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
    • You have problem solving skills
    • You have presentation skills
    • You have the ability to operate in a fast-paced, constantly changing environment
    • +
    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Commercial-Banking-Analyst-Intern-Co-op-Winter-2025-Toronto-%288-Months%29-ON/584371317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:04.250Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788020-commercial-banking-analyst-intern-co-op-winter-2025-toronto-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Commercial-Banking-Analyst-Intern-Co-op-Winter-2025-Toronto-%288-Months%29-ON/584371317/,draft,2024-10-10T16:31:04.227Z,import-xml-feed:Scotiabank,,,,,,, +d99d1110-cd36-498f-9902-10ef0b4c54c7,345788102,Deloitte,Senior Manager - Technical Delivery GenAI,on_site,"Ontario, Canada",2024-10-10T16:36:03.627Z,"

    Job Type: Permanent
    Reference code: 125969
    Primary Location: Toronto, ON
    All Available Locations: Toronto, ON

    +
    +

    +

    Our Purpose

    +

    +

    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

    +

    By living our Purpose, we will make an impact that matters.

    +
    • Build your leadership skills at Deloitte University.
    • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
    • Be expected to share your ideas and to make them a reality.
    • +
    +
    +
    +
    +

    --

    +
    +

    +

    Join our Generative AI team and shape the future of AI!

    +
    +
    +
    +

    What will your typical day look like?

    +
    +

    +

    Work in a fast growing and exciting organization with professionals who are eminent in their respective field.

    +
    • Have challenging and interesting work in a team environment.
    • Continue your development throughout your career to reinforce and expand your chosen career path.
    • +
    +

    +


    Role Specific Responsibilities:

    +
    • Technical Leadership and Strategy: Lead a team of AI engineers and developers, setting the technical vision and architecture for generative AI projects. Foster a culture of innovation and continuous learning within the team.
    • Innovation and Prototyping: Lead the ideation and prototyping of new generative AI applications, exploring novel use cases, and pushing the boundaries of what's possible with AI. Facilitate the transition of prototypes into scalable, production-ready solutions.
    • Technical Guidance: Provide technical guidance and mentorship to the technical team members, promoting best practices in code quality, design patterns, and algorithm optimization. Lead code reviews and technical discussions to drive excellence in our AI solutions.
    • Develop a deep understanding of Deloitte’s structured & unstructured data and use that knowledge to develop new and innovative products that leverage the power of Generative AI.
    • Stakeholder Engagement: Communicate effectively with stakeholders, translating complex AI concepts into understandable insights and updates. Gather requirements and feedback to inform project direction and priorities.
    • Ethics and Compliance: Champion ethical AI development practices, ensuring compliance with data privacy laws and ethical guidelines. Promote transparency and fairness in AI models and applications.
    • +
    +
    +
    +
    +

    About the team

    +
    +

    +

    The Generative AI CoE is an internal team within Deloitte’s ITS (Information Technology Services) organization. GenAI CoE focuses on delivering end-to-end solutions that leverage Generative AI technology including custom built & commercially available products.

    +
    +
    +
    +

    Enough about us, let’s talk about you

    +
    +

    +

    You are a senior technical expert who specializes in Generative AI. You have practical experience with Generative AI and a strong combination of technical, architectural and developer skills, as well as a good grasp of Business vision. You have excellent analytical skills and a thorough knowledge of business processes. You are skilled in leading design discussions and communicating with engineers and developers.

    +

    +

    Qualifications:

    +

    +
    • At least 5 years of hands-on experience in AI and machine learning, with last 2 years on Generative AI.
    • Proficiency in: AI and ML frameworks, Azure AI Stack, RAG, Semantic Kernal, LangChain, Python, C#, Angular, React, REST API’s
    • Solid understanding of Azure OpenAI and other leading GenAI models from Anthropic, Meta, Google & Amazon.
    • Experience in designing and implementing enterprise search frameworks.
    • Excellent analytical skills, with the ability to use data to inform product decisions and drive continuous improvement.
    • Strong cross-functional collaboration skills, with the ability to work effectively with engineering, design, data science, and business development teams.
    • Excellent communication skills, with the ability to clearly articulate complex product concepts to both technical and non-technical stakeholders.
    • Bachelor’s degree in computer science, Engineering, or a related field
    • Proven ability of delivering in a fast-paced environment involving multiple stakeholders
    • Strong commitment to professional client service excellence
    • Ability to coach junior staff.
    • +
    +
    +
    +
    +

    Total Rewards

    +


    The salary range for this position is $104,000 - $215,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

    Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

    +
    +
    +

    +

    Our promise to our people: Deloitte is where potential comes to life.

    +

    +

    Be yourself, and more.

    +

    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

    +

    You shape how we make impact.

    +

    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

    +

    Be the leader you want to be

    +

    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

    +

    Have as many careers as you want.

    +

    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

    The next step is yours

    +

    +

    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

    +

    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

    +

    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

    ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager-Technical-Delivery-GenAI-ON/1143441000/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T16:36:03.636Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788102-senior-manager-technical-delivery-genai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager-Technical-Delivery-GenAI-ON/1143441000/,draft,2024-10-10T16:36:03.627Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, e6491af1-44b2-4d9e-8955-34d10de223c0,345423551,Magna International,Designer,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-07T16:41:01.785Z,"

    About the Role

    @@ -2817,6 +2148,557 @@ e6491af1-44b2-4d9e-8955-34d10de223c0,345423551,Magna International,Designer,on_s

    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

    ",,https://jobs.magna.com/job/Concord-Designer-ONTA-L4K-2R2/584591417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-10T16:46:15.201Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423551-designer-at-magna-international,https://jobs.magna.com/job/Concord-Designer-ONTA-L4K-2R2/584591417/,draft,2024-10-07T16:41:01.785Z,import-xml-feed:Scrapy-Scraper,,,,,,, +6f00cadf-8884-4e75-9e7a-8b49df4ff396,345423456,Scotiabank,Head of Commerce Experience,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:06.047Z,"

    +

    +

    +

    +

    Requisition ID: 208514

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    We are seeking a Head of Commerce Experience. Reporting to the VP of Commerce, the successful candidate will help build, grow, inspire, and lead the teams responsible for prospect and client discovery on Scotiabank’s digital storefronts. Working closely with internal teams in Digital, Marketing, Engineering, Business Lines, and Analytics, this role will deliver business results and provide strategic guidance, driving online sales and customer loyalty for the Bank’s products and services. This role will create and lead the Commerce Experience’s team’s strategic vision, develop and lead a forward-thinking roadmap that will define how to best go to market and win in the digital space for prospects and clients, through maximizing technologies, learnings, and existing programs. The successful candidate will have deep knowledge and understanding of MarTech and how to efficiently and effectively leverage Commerce applications as a critical piece of the digital journey to deliver optimized customer experiences. In this role, you will act as a trusted, collaborative, and results-oriented partner who can lead through influence in a large, matrixed organization, while simultaneously coaching and developing a strong team of Digital Commerce professionals in a culture of excellence.

    +

    +

    The successful candidate should be experienced in large enterprise technology such as content management systems, analytics and performance tracking tools, as well as working within an Agile development organization. Strong people leadership, stakeholder and relationships management skills, and expertise in digital commerce will be keys to success for this role.

    +

    +

    As the Head of Commerce Experience, you will lead your team to make high-impact decisions, and work in a fast-paced, analytical, and experimentation-driven environment to drive and scale a compelling strategy and roadmap and define key business objectives (OKRs) for the portfolio. Leveraging a deep understanding of market trends, website analytics, you will continually prioritize the direction and desired outcomes for the portfolio to ensure optimal customer experience and deliver strong business results.

    +

    +

    +

    +

    Is this role right for you?

    +

    +

    +
    • Have a proven track record of developing and building a successful digital commerce vision, strategy, and roadmap of initiatives.
    • Have experience overseeing operations of all aspects of a commerce website (e.g. site health, digital sales, conversion rate optimization, SEO, regulatory requirements, cyber security, etc.)
    • You are a thought leader and industry expert in the Digital Commerce space, act as a change agent within the organization, evangelizing the value of digital storefronts as a core channel, and effectively communicating your vision and results.
    • Have strong knowledge of commerce technological product suites with a focus on Adobe Experience Manager, Adobe Target, Adobe Analytics, Adobe Journey Optimizer, Real-Time CDP, etc.
    • Future focused, personalization subject matter expert, ready to advocate for experiences that span from low-hanging fruit to leap-frogging innovation.
    • Able to strategically influence across a matrixed organization to achieve best-in-class user experiences.
    • Develop and grow talent through effective mentoring and succession planning for key talent.
    • Collaborate with cross-functional teams, including engineering, analytics, marketing and sales, UX/UI, business lines, and other product teams to deliver high-quality digital banking website experiences.
    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
    • Engage & cultivate relationships with key stakeholders from across business line and leadership partners.
    • Continuously perform customer need analysis and understand business pain points. Identify the biggest points of friction and problems to solve in the discovery phase of the user journey to best serve prospects and clients.
    • Attentive in helping your team prioritize, negotiate, and remove obstacles to ensure quality delivery.
    • Practice and encourage data informed decision making & hypothesis driven user experimentation and experiences in the team and across the organization.
    • Must be able to craft and deliver compelling, persuasive, and effective narratives and presentations to senior leaders and stakeholders.
    • Actively pursues effective and efficient operations of respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
    • +
    +

    +

    +

    +

    Do you have the skills that will enable you to succeed in this role?

    +

    +

    +
    • 10+ years of experience in a digital commerce/eCommerce role, with at least 3 years in senior level roles leading large teams. Financial Institution experience is preferred but not required.
    • Deep domain knowledge and experience in data, analytics, and personalization.
    • A proven knowledge of the digital banking commerce ecosystem and the Canadian landscape.
    • Managed multiple key stakeholders and collaborated successfully across an enterprise.
    • You have built a customer-centric, digital commerce vision in your past roles and have successfully achieved it through a sound execution strategy and roadmap.
    • Strong problem solver with the ability to influence and inspire a cross-functional team to reach ambitious goals and targets.
    • You have a curious and experimental mindset to drive innovation and business results.
    • Strong verbal and written communication skills with the ability to engage and influence stakeholders across different levels in the organization.
    • You are comfortable and effective leading through significant complexity and pace. A leader who can provide clear direction and foster positive team engagement in a fast-paced environment.
    • Experience in hiring, coaching and leading experienced professionals and managers.
    • Excellent organizational and analytical skills with strong attention to detail.
    • Experience working with Enterprise technology, preferably Adobe tech products (e.g. Adobe Experience Manager (AEM), Adobe Analytics, Adobe Target, etc.).
    • Experience with Agile methodologies.
    • +
    +

    +

    +

    What's in it for you?

    +

    +

    +
    • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
    • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
    • A hybrid-friendly work environment will provide you with the flexibility to perform at your best.
    • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
    • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
    • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
    • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
    • +
    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Head-of-Commerce-Experience-ON-M5A3X5/585260917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:06.059Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423456-head-of-commerce-experience-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Head-of-Commerce-Experience-ON-M5A3X5/585260917/,draft,2024-10-07T16:31:06.047Z,import-xml-feed:Scotiabank,,,,,,, +ee96418a-0851-4e02-b36c-d94f0ec301ef,345423467,Scotiabank,Velocity - Audit Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.618Z,"

    +

    +

    +

    +

    Requisition ID: 206636

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Velocity – Audit Internship/Co-Op – Winter 2025

    +

    Term: January - December 2025

    +

    +

    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

    +

    +

    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

    +

    +

    Is this role right for you? In this role, you will:

    +
    • Update/validate in planning and reporting.

    • Populate reporting templates with actual results and ensure completeness.

    • Work on the ongoing tracking and reporting of financial metrics.

    • Support the manager/director to update risk rating methodologies.

    • Assist the team in developing working papers summarizing audit findings, generating reports, and recording results.

    • +
    +

    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +
    • You are currently enrolled in post-secondary education.

    • You love to learn and envision yourself working for an international organization that heavily invests in your future.

    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.

    • You are a capable problem-solver, with strong analytical and critical thinking skills.

    • You can multi-task and work independently.

    • You are an effective communicator and are able to communicate clearly and concisely.

    • You have a medium to advanced knowledge in Microsoft Excel.

    • +
    +

    +

    +

    What’s in it for you?

    +
    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

    • +
    +

    +

    How do I apply?

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

    +

    +
    1. Complete your PLUM Profile here and save as a screenshot.

    2. +
    +
    1. Complete a short one-way video interview here.

    2. +
    +
    1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    2. +
    +

    Application Deadline: 10/18/2024

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Audit-InternshipCo-op-Winter-2025-ON/584362617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.624Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423467-velocity-audit-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Audit-InternshipCo-op-Winter-2025-ON/584362617/,draft,2024-10-07T16:31:07.618Z,import-xml-feed:Scotiabank,,,,,,, +c385174e-ffeb-454c-8089-06d5cc922103,345423470,Scotiabank,Jarislowsky Fraser - ESG Research Intern/Co-op Summer 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.837Z,"

    +

    +

    +

    +

    Requisition ID: 208546

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    +

    Start Date: Summer 2025

    +

    Application Deadline: 10/30/2024

    +

    +

    Jarislowsky, Fraser Limited is an investment management firm with over 60 years of experience conducting fundamental research and managing assets for pension funds, foundations and endowments, corporations and individuals in Canada and internationally — representing more than CA$59 billion in assets under management. Our history and culture are rooted in investment stewardship that is expressed through an adherence to quality investing consistent with our long-standing investment philosophy and the advancement of good governance and sustainable investing. Acting in the best interests of our clients is the cornerstone of everything we do. Headquartered in Montreal, we have offices in Toronto, Calgary, and Vancouver.

    +

    +

    Is this role right for you?

    +

    +

    Contributes to the overall success of the Research team in Toronto ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s research priorities and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    +

    During your internship you will join a dynamic team, working alongside highly trained professional analysts and portfolio managers. We are looking for someone with a related area of study (finance, portfolio management, sustainability, or accounting). Successful candidates will have a demonstrated passion for sustainable investing.

    +

    +

    In this role, you will:

    +

    +
    • Work with ESG Research Analysts and Associates performing ESG analysis and ad-hoc projects. Projects may include climate and/or diversity, equity & inclusion research, data organization, research on emerging ESG topics/trends, and research to support internal presentations.

    • Understand how JFL’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Actively pursue effective and efficient operations of his/her respective areas in accordance with the firm’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Champion a high-performance environment and contribute to an inclusive work environment.

    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +
    • Enrolled in post-secondary education or in post-graduate education (i.e. master’s degree) with a focus in sustainability, sustainable development, business administration, finance, economics or another related field

    • Top grades and standing GPA are considered an asset

    • Passion for ESG and sustainable investing

    • Strong analytical skills

    • Excellent communication skills, both written and verbal

    • Comfortable working with Microsoft Word and Excel

    • Ability to work well in a team environment

    • Organized, with attention to detail

    • +
    +

    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-ESG-Research-InternCo-op-Summer-2025-Toronto-ON/585289917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345423470-jarislowsky-fraser-esg-research-intern-co-op-summer-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-ESG-Research-InternCo-op-Summer-2025-Toronto-ON/585289917/,draft,2024-10-07T16:31:07.837Z,import-xml-feed:Scotiabank,,,,,,, +56712560-69ae-42b8-9a69-40e15ab855f4,345423471,Scotiabank,Jarislowsky Fraser - Research Intern/Co-op Summer 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.935Z,"

    +

    +

    +

    +

    Requisition ID: 208549

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    +

    Start Date: Summer 2025

    +

    Application Deadline: 10/30/2024

    +

    +

    Jarislowsky, Fraser Limited is an investment management firm with over 60 years of experience conducting fundamental research and managing assets for pension funds, foundations and endowments, corporations and individuals in Canada and internationally — representing more than CA$59 billion in assets under management. Our history and culture are rooted in investment stewardship that is expressed through an adherence to quality investing consistent with our long-standing investment philosophy and the advancement of good governance and sustainable investing. Acting in the best interests of our clients is the cornerstone of everything we do. Headquartered in Montreal, we have offices in Toronto, Calgary, and Vancouver.

    +

    +

    Is this role right for you?

    +

    +

    Contributes to the overall success of the Research team in Toronto ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s research priorities and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    +

    During your internship you will join a dynamic team, working alongside highly trained professional analysts and portfolio managers. We are looking for someone with a related area of study (finance, portfolio management, sustainability, or accounting). Successful candidates will have a demonstrated passion for sustainable investing.

    +

    +

    In this role, you will:

    +

    +
    • Work with ESG Research Analysts and Associates performing ESG analysis and ad-hoc projects. Projects may include climate and/or diversity, equity & inclusion research, data organization, research on emerging ESG topics/trends, and research to support internal presentations.

    • Understand how JFL’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Actively pursue effective and efficient operations of his/her respective areas in accordance with the firm’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Champion a high-performance environment and contribute to an inclusive work environment.

    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +

    +
    • You are currently enrolled in post-secondary education with a focus in business administration, finance, economics or other related field.

    • Member of the investment program within their school considered an asset.

    • Demonstrated passion for investing

    • Interest in ESG and sustainable investing

    • Analytical and accounting skills.

    • Knowledge of financial modeling.

    • Students with top grades and standing GPA considered an asset

    • Excellent communication skills, both written and verbal.

    • Comfortable working with Microsoft Word and Excel

    • Ability to work well in a team environment

    • Organized with attention to details

    • +
    +

    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-Research-InternCo-op-Summer-2025-Toronto-ON/585289817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345423471-jarislowsky-fraser-research-intern-co-op-summer-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-Research-InternCo-op-Summer-2025-Toronto-ON/585289817/,draft,2024-10-07T16:31:07.935Z,import-xml-feed:Scotiabank,,,,,,, +8a30dd11-a12f-4055-bb58-f57614e7d272,345423472,Scotiabank,Canadian Banking - Administration & Support Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.202Z,"

    +

    +

    +

    +

    Requisition ID: 206585

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Term: January - April 2025

    +

    Application Deadline: 10/18/2025

    +

    +

    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

    +

    +

    Is this role right for you? In this role, you will:

    +
    • Accurately process and maintain records for requests for changes/actions/corrections from our service partners across the product scope.
    • Interact with a variety of different stakeholders through email or telephone.
    • Maintain inboxes with a high degree of efficiency.
    • Create reporting through Excel or PowerPoint.
    • Contribute to the overall business objectives of the Business Banking Community.
    • Identify and assess new opportunities for operational improvements.
    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +
    • You are currently enrolled in post-secondary education.
    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
    • You have a high level of competency with MS Office suite.
    • You have strong written and verbal communication skills.
    • You can manage multiple tasks at once and are adaptable to prioritize
    • +
    +

    +

    What’s in it for you?

    +
    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
    • +
    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +
    1. Complete your PLUM Profile here and save it as a screenshot.
    2. Complete a short one-way video interview here.
    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
    4. +
    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Administration-&-Support-InternshipCo-op-Winter-2025-ON/584341117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423472-canadian-banking-administration-support-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Administration-&-Support-InternshipCo-op-Winter-2025-ON/584341117/,draft,2024-10-07T16:31:08.202Z,import-xml-feed:Scotiabank,,,,,,, +1eb90306-6b01-496a-b88a-88f4d2e64c84,345360972,Google,"gTech Strategy and Operations Lead, Extended Workforce Solutions",on_site,"Toronto, ON, Canada",2024-10-07T08:34:02.959Z,"
    +
    +

    gTech Strategy and Operations Lead, Extended Workforce Solutions

    +
    +
    +
    +
    +share +
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    +corporate_fareGoogleplaceToronto, ON, Canada
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    +bar_chartMid +
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    Mid

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    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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    +Apply
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    +share +
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    • +linkCopy link +
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    • +emailEmail a friend +
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    Minimum qualifications:

    +
      +
    • Bachelor\'s degree or equivalent practical experience.
    • +
    • 6 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity or corporate advisory, or 4 years of experience with an advanced degree.
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    • +
    • 3 years of experience working with executive stakeholders.
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    • +
    • 2 years of experience developing business strategies or managing cross-functional initiatives.
      +
    • +
    +

    Preferred qualifications:

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      +
    • Experience collaborating with multiple stakeholders across organizational boundaries.
      +
    • +
    • Experience in analytical or go-to-market roles in fields like management consulting, investment banking, corporate strategy, and strategy and operations roles.
      +
    • +
    • Experience partnering in a cross-functional environment and working with others collaboratively (e.g., data science, finance, marketing, etc.).
      +
    • +
    • Demonstrated ability to leverage data and analytics to deliver insights and recommendations for business direction and priorities.
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    • +
    • Excellent communication and presentation skills with the ability to take complex, ambiguous topics and turn them into compelling narratives for different audiences.
      +
    • +
    +
    +
    +

    About the job

    +

    gTech’s Strategy and Operations team (gSO) is made up of strategic partners and trusted advisors that drive success and transformative changes for gTech. We create value through deep functional and business expertise combined with analytical rigor to formulate and deliver strategies. Using core capabilities ― strategy, analytics, and communications ― we empower gTech to do amazing things to land the present, and build for the future.

    +

    gTech’s Extended Workforce Solutions team enables product areas to effectively and efficiently scale their outsourced operations while managing risks. Our goal is to enable our partners to make informed decisions to put the right talent in the right locations to deliver the best possible outcomes for their business needs. Our partnership with teams across Google aims to provide an excellent user experience and minimize administrative burden throughout the process. We assist with planning and strategy, and provide tools to support product areas in managing their extended workforce infrastructure. We strike a balance between optimizing engagements and making sure all policies and guidelines pertaining to contingent work are followed.

    +

    In this role, you will independently lead projects and drive impact across key strategic questions for the business. You will simplify and effectively communicate these problems, advocate and challenge stakeholders, and collaborate with cross-functional stakeholders across the business. You need to be able to understand business context, be comfortable with ambiguity, and prioritize and quickly recognize what is most critical. You are a collaborative, data-driven, analytical problem solver who is able to effectively lead and manage multiple work streams, projects, and stakeholders across time zones on a global scale.

    +
    +
    +

    Responsibilities

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      +
    • Own and lead complex, cross-functional strategic initiatives for EExtended Workforce Solutions (xWS).
      +
    • +
    • Identify and structure business problems and effectively communicate core issues.
      +
    • +
    • Drive the execution of multiple initiatives simultaneously, preempt and resolve potential issues and concerns.
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    • +
    • Launch and land organizational change management plans for mid- to long-term initiatives.
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    • +
    • Gather data and conduct analyses supporting in-going hypotheses and generate actionable insights.
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    • +
    +
    +
    +

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

    +

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    +

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    +

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    +

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    +
    +
    ",,https://www.google.com/about/careers/applications/jobs/results/124487604719493830-gtech-strategy-and-operations-lead-extended-workforce-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-06T08:34:02.971Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345360972-gtech-strategy-and-operations-lead-extended-workforce-solutions-at-google,,draft,2024-10-07T08:34:02.959Z,import-xml-feed:Google-Job-Feed,,,,,,, +11b9ee4c-3b9f-4db6-85e7-ab1179485514,345449115,BELL CANADA,2025 Internship Program- Software Development,on_site,"Don Mills, Ontario, Canada",2024-10-07T21:25:04.311Z,"

     ​Req Id: 420065


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    +
    +
    +

    +
    +

    This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

    +
    +
    +
    +

    Why join us?

    +
    +
    +
      +
    • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
    • +
    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
    • +
    • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
    • +
    • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
    • +
    • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
    • +
    • Develop your technical and leadership skills through formal and experiential training programs.
    • +
    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
    • +
    +

     

    +

    What you’ll do 

    +


    Impactful decisions-making, creative solution-exploration and innovative thinking all describe the roles on our Software Development team. As an intern, you’ll bring new ideas to solving complex challenges all while you enjoy a collaborative and supportive environment with access to the latest technology. You can look forward to contributing to B2B solutions, develop business opportunities and work on new product roadmaps.

    +
    +
    +
    +
    +

    What we’re looking for

    +
    +
    +

    Requirements

    +

     

    +
    • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, software, computer science, IT. (however, if you believe you are up for the challenge with a different degree, you are welcome to apply)                                                  
    +

     

    +

    Technical Skills

    +

     

    +
      +
    • You have capability and passion to continuously learn different programming languages (ex. Java, JavaScript, Python, C#.NET, GOLANG)
    • +
    • You are familiar with SAP programming (ABAP) 
    • +
    • You are interested in web development (IE, ReactJS, Angular, VueJS) 
    • +
    • You are familiar with different working methodologies i.e. DevOps, CI/CD, TDD/BDD 
    • +
    • You have a desire to learn how to develop and work with cloud technologies (AWS, Azure, GCP, Kubernetes, Docker, Openshift (OCP) etc.) 
    • +
    • You have an interest in data management (SQL and Non-SQL databases: PostgreSQL, MariaDB, MongoDB, Redis, Cassandra, Oracle, SQL Server) and caching tools (Redis, Red Hat DataGrid, SOSS)
    • +
    • You are open to explore different avenues of software development such as (but not limited to) front-end, back-end or full stack development 
    • +
    • You are willing to learn and adopt security by design in all your development work
    • +
    +
    +
    +
    +
    +

    Leadership skills

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    +
    +

     

    +
      +
    • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
    • +
    • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
    • +
    • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
    • +
    • You gain the trust of your teams, being known for demonstrating fairness and respect.
    • +
    • You promote belonging and are flexible, accountable and collaborative.
    • +
    • You are committed to growing your skills and learning from others.
    • +
    +


    Applying is simple 

    +

     

    +

    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

    +

     

    +

    1.    Review our programs and indicate up to three role choices in your application.
    2.    Complete your video interview within 48 hours. 
    3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
    4.    If selected from previous step, you will be invited to a virtual panel interview.

    +

     

    +

    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

    +

     

    +

     Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

    +
    +
    +

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Intern 
    Job Location: Canada : Ontario : Mississauga || Canada : New Brunswick : Fredericton || Canada : Nova Scotia : Halifax || Canada : Ontario : Don Mills || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal || Canada : Quebec : Quebec City 
    Work Arrangement: Hybrid
    Application Deadline: 11/03/2024

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    #CampusSoftDev24

     

    Created: Canada, ON, Mississauga

     

    Bell, one of Canada's Top 100 Employers.

    ",,https://jobs.bell.ca/ca/en/job/BECACA420065EXTERNALENCA/2025-Internship-Program-Software-Development?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:04.319Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345449115-2025-internship-program-software-development-at-bell-canada,BECACA420065EXTERNALENCA,draft,2024-10-07T21:25:04.311Z,import-xml-feed:Bell-Canada,,,,,,, +9538c8b1-10cb-4724-98a5-187b69196fe1,346258823,CN,"Intern, Mechanical Reliability",on_site,"Ontario, Canada",2024-10-14T08:58:03.315Z,"
    +

    At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
    We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

    +

    +

    +

    Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Mechanical Reliability position in Homewood, Il from May– Aug 2025.

    +

    Job Summary

    +

    The Intern, Mechanical Reliability is responsible for providing support to the Mechanical department by preparing calculations and reports while gaining experience with engineering systems. The incumbent integrates tracking plans, performs analysis of mechanical design choices, and carries out other projects as assigned. The role contributes to project leadership and oversees the project portfolio.

    +

    Major Responsibilities

    +
      +
    • Provide support to the Mechanical department
    • +
    • Assist in preparing calculations and reports
    • +
    • Provide assistance in integrating tracking plans
    • +
    • Participate in performing analysis of mechanical design choices
    • +
    • Interact with project teams
    • +
    • Assist with coordination of on-site activities
    • +
    • Support the creation and modification of Computer Aided Design (CAD) models
    • +
    +

    Requirements

    +
      +
    • Advanced knowledge of Microsoft Office (Excel, PowerPoint, Word)
    • +
    • Knowledge of Microsoft Teams, SharePoint, and Notes
    • +
    • Knowledge of reporting software such as Tableau and SmartSheet
    • +
    • Communicates with impact
    • +
    • Completes work autonomous with accountability for assigned tasks
    • +
    • Knowledge of Systems, Applications and Products (SAP) and ARIBA*
    • +
    +

    Education

    +
    • Recent Graduate or working towards a Bachelor’s Degree in Operations Management, Procurement and Supply Chain Management, Business, Finance, Industrial, Mechanical Engineering, or equivalent
    +

    *Any experience/education/skills/knowledge for these above would be considered as an asset

    +


    +

    #IC

    +

    +

    +

    +

    About CN

    CN is a world-class transportationleader and trade-enabler. Essential to the economy, to the customers, and tothe communities it serves, CNsafely transports more than 300 million tons of natural resources, manufacturedproducts, and finished goods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributingto community prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. AtCN, we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.

    +

    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

    +
    ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14592?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-13T08:58:03.315Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258823-intern-mechanical-reliability-at-cn,,draft,2024-10-14T08:58:03.315Z,import-xml-feed:Selenium-Scraper,,,,,,, +f94ba496-ac41-4d75-9e39-c55ba082373e,346634423,Roche,Disclosures Specialist,on_site,"Ontario, Canada",2024-10-17T08:58:01.771Z,"
    +

    Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

    +

    +

    +

    The Position

    +

    A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

    +

    Creating a world where we all have more time with the people we love.

    +

    +

    That’s what makes us Roche.

    +

    +

    The Pharma Development Regulatory (PDR) Innovation and Sustainment Chapter is responsible for developing and sustaining business capabilities within PDR. We focus on fostering innovation, ensuring operational readiness, and implementing continuous improvements. Our team anticipates regulatory landscape changes and evaluates future business needs to achieve PDR\'s moonshots and Pharma vision. We maintain compliant, efficient regulatory processes, systems, and tools to meet patient and business needs, and understand the impact of data and information on submission quality.

    +

    +

    As a member of this chapter, you will leverage talent across PDR to drive innovation, lead continuous improvement, and oversee regulations and internal standards. Your responsibilities include assessing processes, tools, and technology to achieve our business goals, collaborating enterprise-wide to ensure compliance, and partnering with quality organizations across PD, affiliates, Pharma, and Roche.

    +

    +

    The Opportunity:

    +
      +
    • Assist in posting organizational clinical trial protocols and results on public trial registration websites (ClinicalTrials.gov, EU results registry).

    • +
    • Identify studies required for registry and results postings and ensure PDR management and staff are aware of timelines and requirements.

    • +
    • Liaise with project teams and affiliates to ensure understanding of regulatory disclosure responsibilities.

    • +
    • Submit protocol documents for registry entries and quality control checks for consistency.

    • +
    • Work with cross-functional team members to gather necessary data and approvals for registry and results postings.

    • +
    • Monitor workflows for timely completion of registry and results entries, ensuring uploads are done on time.

    • +
    • Track and ensure timely responses to correspondence with cross-functional teams and departments.

    • +
    +

    +

    Who you are:

    +
      +
    • Degree in Life Sciences or equivalent with 1-3 years of relevant experience in the pharmaceutical/biotechnology industry, including independent project delivery and leadership of specific activities.

    • +
    • Strong computer skills (Microsoft Office Suite, Adobe Acrobat), solid understanding of drug development, and familiarity with regulations and guidelines (e.g. GxP, GCP, ICH) and clinical trial disclosure.

    • +
    • First exposure to regulatory affairs or product development functions

    • +
    • Strong interpersonal and communication skills, effective team member in cross-functional and matrix-based environments, with a strong sense of urgency.

    • +
    • Ability to work under minimal supervision, excellent administrative and project planning skills, detail-oriented, ability to meet deadlines and work under challenging timelines. Fluency in English (verbal and written) is required.

    • +
    +

    +

    Relocation benefits are not available for this job posting.

    +

    +

    Who we are

    +

    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

    +

    +

    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

    +

    +

    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

    +
    +

    +

    Roche is an Equal Opportunity Employer.

    +
    +
    ",,https://careers.roche.com/global/en/job/202410-125426/Disclosures-Specialist,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634423-disclosures-specialist-at-roche,,draft,2024-10-17T08:58:01.771Z,import-xml-feed:Selenium-Scraper,,,,,,, +7e6d9cef-be47-41ec-9c09-e6180282f019,344117498,Roche,RWD Analytics Engineer,on_site,"Ontario, Canada",2024-09-29T08:58:01.645Z,"
    +

    Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

    +

    +

    +

    The Position

    +

    Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

    +

    +

    You will be supporting projects that require harmonization of source data models to/from common data models such as OMOP or FHIR. Occasionally, this may include custom data models, depending on product/project needs. You will be collaborating with clinical terminologists, medical informatics architects, data engineers, and data scientists to produce data sets that are ready for analysis or model building. You will also be responsible for creating and applying tests to the data pipeline using state of the art approaches, ensuring that the mapped data retain the same semantics as the original data within the context of specific use cases.

    +

    +

    In addition to supporting specific projects with analytics engineering needs, you will also leverage this experience to help design and develop scalable ways for mapping data.

    +

    +

    The Opportunity:

    +

    +
      +
    • Syntactically and semantically map data to/from RWD common data models (e.g., OMOP, FHIR) using dbt or similar tools

    • +
    • Design, develop, and test ETL/ELT pipelines for real world data

    • +
    • Provide complete documentation and communication of all processes, methods, and results

    • +
    • Integrate vocabularies/terminologies using REST APIs and/or via relational tables

    • +
    • Co-create scalable approaches for mapping data using declarative and functional programming approaches

    • +
    +
      +
    • Understand the complexities of RWD use cases from both business and IT/technical perspectives and develop a strategic approach to balance short-term benefits and long-term costs and contribute and share learnings throughout RWD communities

    • +
    • Partner with data scientists to understand and address their need as well as with IT business domain leadership to influence product roadmaps

    • +
    +

    +

    Who you are:

    +

    +
      +
    • 5+ years of relevant experience and a Bachelor’s or Master’s degree in computer science, data science, informatics

    • +
    • Hands-on experience with healthcare data in at least one of the following disease areas: oncology, neuro, immunology, infectious diseases, ophthalmology, cardiovascular and metabolism

    • +
    • Hands-on experience with real world data, specifically OMOP

    • +
    • Experience with terminology integration, including OHDSI Athena and UMLS

    • +
    • Python (numpy, pandas, etc.) or R, SQL, CI/CD, git.

    • +
    • (Preferred) Experience with semantic web technologies (e.g., SPARQL, RDF, OWL, Turtle)

    • +
    • Hands-on experience with relational databases and cloud platforms such as Snowflake

    • +
    • (Preferred) Experience with graph databases such as Neo4j and GraphDB and SDTM

    • +
    +

    +

    Relocation benefits are not available for this posting.

    +

    +

    Who we are

    +

    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

    +

    +

    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

    +

    +

    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

    +
    +

    +

    Roche is an Equal Opportunity Employer.

    +
    +
    ",,https://careers.roche.com/global/en/job/202405-111611/RWD-Analytics-Engineer,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344117498-rwd-analytics-engineer-at-roche,,draft,2024-09-29T08:58:01.645Z,import-xml-feed:Selenium-Scraper,,,,,,, +4ec0274f-88a0-482d-a16d-66756d372a6d,346298731,Scotiabank,"Activate: Strategic Functions New Graduate Development Program, Compliance - Spring 2025",on_site,Canada : Ontario : Toronto,2024-10-14T16:31:02.852Z,"

    +

    +

    +

    +

    Requisition ID: 208962

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Start Date: June 2025

    +

    Location: Toronto, Ontario

    +

    Application Deadline: 11/01/2024

    +

    +

    Who Are We?

    +

    The Activate New Graduate Development Program is designed to kick-start your career at Scotiabank in your specific stream of Strategic Functions – when you apply, please be sure to apply to the Activate stream in which you want to specialize. Our Strategic Functions groups are the backbone of the Bank, with focus areas including Marketing, Human Resources, Compliance, Global Treasury, Risk Management, Audit, Finance, and our CPA Pre-Approved program. Each rotation in the Activate program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. You’ll also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

    +

    +

    About Compliance/AML:

    +

    The Compliance/Anti-Money Laundering (AML) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program (“AML Program”), including design and effective implementation. The AML program is designed to:

    +
    1. Mitigate the risks of Scotiabank products or services being used for prohibited activities; and
    2. +
    +
    1. Ensure compliance with the laws and regulations applicable to the bank.
    2. +
    +

    +

    To achieve this, we support the creation and maintenance of effective Know Your Client (“KYC”) processes, a risk-based approach to monitoring client activity to identify and report potentially suspicious and/or unusual activity, specialized training, independent testing, amongst other initiatives and activities. The AML Risk Team includes functions that deal with data, technology, governance, reporting, policies and procedures, investigations, analytics, and so much more. Our team is comprised of both highly technical individuals, with strong data and analytics skills, as well as individuals with a strong foundation and interest in governance and policy development – as an Activate associate, you’ll get to experience both!

    +

      

    +

    Is this program right for you? In this program, you will:

    +

    You’ll join our Activate Development program as a full-time permanent employee and will spend 12 months rotating to pre-determined areas that will challenge you and provide you with opportunities to learn and grow into a Strategic Functions professional. Our goal at the end of the program is to land you into a permanent role in your area of focus – after 3 rotations, you’ll be set up to hit the ground running! These rotations are key to your development and aim to ensure you receive a wide breadth of experience in a short period of time. It also provides you with the opportunity to discover your passions and learn more about your areas of interest; you’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.

    +

    Each stream of the Activate Program has a dedicated recruiting process; this posting is for AML & Compliance. If you’re interested in one of the other streams of the Activate program, please search for the appropriate posting on our Scotiabank Careers page.

    +

    +

    Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

    +
    • This program is for students who have just graduated from a college diploma, undergraduate degree, or graduate degree who are looking to secure that job now to begin upon graduation before June 2024
    • Proactive, self-motivated, and driven to succeed
    • Strong communication and interpersonal skills
    • Ability to work under tight deadlines, within a fast-paced environment, where there is often a level of ambiguity
    • Interested in data, technology, emerging trends and risks.
    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
    • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
    • +
    +

    +

    What’s in it for you?

    +
    • You’ll be part of a diverse, collaborative, innovative, and inclusive team.
    • Work on projects that tie into AML and Compliance objectives
    • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.
    • A dedicated Program Manager to support with your learning, goals, and development.
    • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.
    • Individualized development plans, mentorship, and excusive access to leaders.
    • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.
    • +
    +

    +

    How do I apply?

    +

    For students applying to one of our TILT New Graduate programs we do not require resumes! Instead, we ask that as part of your application, you complete the below:

    +
    1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your past PLUM results.
    2. Complete a short one-way video interview here. +
    3. +
    +

    +

    *To be considered, you must complete all steps above.

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Compliance-Spring-2025-ON/585497017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-13T16:31:02.859Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346298731-activate-strategic-functions-new-graduate-development-program-compliance-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Compliance-Spring-2025-ON/585497017/,draft,2024-10-14T16:31:02.852Z,import-xml-feed:Scotiabank,,,,,,, 7324aa80-7d31-4572-879e-98e4bc028e9a,343569006,BELL CANADA,"2025 Graduate Program- Operations, Strategy, Design & Delivery",on_site,"Mississauga, Ontario, Canada",2024-09-25T21:25:02.201Z,"

     ​Req Id: 420039


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    @@ -2919,84 +2801,545 @@ e6491af1-44b2-4d9e-8955-34d10de223c0,345423551,Magna International,Designer,on_s

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Grad Hire 
    Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
    Work Arrangement: Hybrid
    Application Deadline: 03/11/2025

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    Created: Canada, ON, Mississauga

     

    #CampusOperations24​

     

    Bell, one of Canada's Top 100 Employers.

    ",,https://jobs.bell.ca/ca/en/job/BECACA420039EXTERNALENCA/2025-Graduate-Program-Operations-Strategy-Design-Delivery?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:02.210Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569006-2025-graduate-program-operations-strategy-design-delivery-at-bell-canada,BECACA420039EXTERNALENCA,draft,2024-09-25T21:25:02.201Z,import-xml-feed:Bell-Canada,,,,,,, -f14a2f9b-dc66-4144-86b3-c608ed5c934c,343569017,BELL CANADA,2025 Internship Program- Human Resources,on_site,"Toronto, Ontario, Canada",2024-09-25T21:25:03.357Z,"

     ​Req Id: 420043


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Intern and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    -
    -
    -

    Why join us?

    +c385174e-ffeb-454c-8089-06d5cc922103,345423470,Scotiabank,Jarislowsky Fraser - ESG Research Intern/Co-op Summer 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.837Z,"

    +

    +

    +

    +

    Requisition ID: 208546

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    +

    Start Date: Summer 2025

    +

    Application Deadline: 10/30/2024

    +

    +

    Jarislowsky, Fraser Limited is an investment management firm with over 60 years of experience conducting fundamental research and managing assets for pension funds, foundations and endowments, corporations and individuals in Canada and internationally — representing more than CA$59 billion in assets under management. Our history and culture are rooted in investment stewardship that is expressed through an adherence to quality investing consistent with our long-standing investment philosophy and the advancement of good governance and sustainable investing. Acting in the best interests of our clients is the cornerstone of everything we do. Headquartered in Montreal, we have offices in Toronto, Calgary, and Vancouver.

    +

    +

    Is this role right for you?

    +

    +

    Contributes to the overall success of the Research team in Toronto ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s research priorities and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    +

    During your internship you will join a dynamic team, working alongside highly trained professional analysts and portfolio managers. We are looking for someone with a related area of study (finance, portfolio management, sustainability, or accounting). Successful candidates will have a demonstrated passion for sustainable investing.

    +

    +

    In this role, you will:

    +

    +
    • Work with ESG Research Analysts and Associates performing ESG analysis and ad-hoc projects. Projects may include climate and/or diversity, equity & inclusion research, data organization, research on emerging ESG topics/trends, and research to support internal presentations.

    • Understand how JFL’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Actively pursue effective and efficient operations of his/her respective areas in accordance with the firm’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Champion a high-performance environment and contribute to an inclusive work environment.

    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +
    • Enrolled in post-secondary education or in post-graduate education (i.e. master’s degree) with a focus in sustainability, sustainable development, business administration, finance, economics or another related field

    • Top grades and standing GPA are considered an asset

    • Passion for ESG and sustainable investing

    • Strong analytical skills

    • Excellent communication skills, both written and verbal

    • Comfortable working with Microsoft Word and Excel

    • Ability to work well in a team environment

    • Organized, with attention to detail

    • +
    +

    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-ESG-Research-InternCo-op-Summer-2025-Toronto-ON/585289917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345423470-jarislowsky-fraser-esg-research-intern-co-op-summer-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-ESG-Research-InternCo-op-Summer-2025-Toronto-ON/585289917/,draft,2024-10-07T16:31:07.837Z,import-xml-feed:Scotiabank,,,,,,, +56712560-69ae-42b8-9a69-40e15ab855f4,345423471,Scotiabank,Jarislowsky Fraser - Research Intern/Co-op Summer 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.935Z,"

    +

    +

    +

    +

    Requisition ID: 208549

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    +

    Start Date: Summer 2025

    +

    Application Deadline: 10/30/2024

    +

    +

    Jarislowsky, Fraser Limited is an investment management firm with over 60 years of experience conducting fundamental research and managing assets for pension funds, foundations and endowments, corporations and individuals in Canada and internationally — representing more than CA$59 billion in assets under management. Our history and culture are rooted in investment stewardship that is expressed through an adherence to quality investing consistent with our long-standing investment philosophy and the advancement of good governance and sustainable investing. Acting in the best interests of our clients is the cornerstone of everything we do. Headquartered in Montreal, we have offices in Toronto, Calgary, and Vancouver.

    +

    +

    Is this role right for you?

    +

    +

    Contributes to the overall success of the Research team in Toronto ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s research priorities and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    +

    During your internship you will join a dynamic team, working alongside highly trained professional analysts and portfolio managers. We are looking for someone with a related area of study (finance, portfolio management, sustainability, or accounting). Successful candidates will have a demonstrated passion for sustainable investing.

    +

    +

    In this role, you will:

    +

    +
    • Work with ESG Research Analysts and Associates performing ESG analysis and ad-hoc projects. Projects may include climate and/or diversity, equity & inclusion research, data organization, research on emerging ESG topics/trends, and research to support internal presentations.

    • Understand how JFL’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Actively pursue effective and efficient operations of his/her respective areas in accordance with the firm’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Champion a high-performance environment and contribute to an inclusive work environment.

    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +

    +
    • You are currently enrolled in post-secondary education with a focus in business administration, finance, economics or other related field.

    • Member of the investment program within their school considered an asset.

    • Demonstrated passion for investing

    • Interest in ESG and sustainable investing

    • Analytical and accounting skills.

    • Knowledge of financial modeling.

    • Students with top grades and standing GPA considered an asset

    • Excellent communication skills, both written and verbal.

    • Comfortable working with Microsoft Word and Excel

    • Ability to work well in a team environment

    • Organized with attention to details

    • +
    +

    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-Research-InternCo-op-Summer-2025-Toronto-ON/585289817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345423471-jarislowsky-fraser-research-intern-co-op-summer-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Jarislowsky-Fraser-Research-InternCo-op-Summer-2025-Toronto-ON/585289817/,draft,2024-10-07T16:31:07.935Z,import-xml-feed:Scotiabank,,,,,,, +8a30dd11-a12f-4055-bb58-f57614e7d272,345423472,Scotiabank,Canadian Banking - Administration & Support Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.202Z,"

    +

    +

    +

    +

    Requisition ID: 206585

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Term: January - April 2025

    +

    Application Deadline: 10/18/2025

    +

    +

    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

    +

    +

    Is this role right for you? In this role, you will:

    +
    • Accurately process and maintain records for requests for changes/actions/corrections from our service partners across the product scope.
    • Interact with a variety of different stakeholders through email or telephone.
    • Maintain inboxes with a high degree of efficiency.
    • Create reporting through Excel or PowerPoint.
    • Contribute to the overall business objectives of the Business Banking Community.
    • Identify and assess new opportunities for operational improvements.
    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +
    • You are currently enrolled in post-secondary education.
    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
    • You have a high level of competency with MS Office suite.
    • You have strong written and verbal communication skills.
    • You can manage multiple tasks at once and are adaptable to prioritize
    • +
    +

    +

    What’s in it for you?

    +
    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
    • +
    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +
    1. Complete your PLUM Profile here and save it as a screenshot.
    2. Complete a short one-way video interview here.
    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
    4. +
    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Administration-&-Support-InternshipCo-op-Winter-2025-ON/584341117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423472-canadian-banking-administration-support-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Administration-&-Support-InternshipCo-op-Winter-2025-ON/584341117/,draft,2024-10-07T16:31:08.202Z,import-xml-feed:Scotiabank,,,,,,, +25f6761a-7c8e-4275-84c0-555d42fe7df6,345512491,Google,"Data Analytics Sales Specialist III, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-08T08:34:01.768Z,"
    +
    +

    Data Analytics Sales Specialist III, Google Cloud

    +
    +
    +
    +
    +share
    -
      -
    • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
    • -
    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
    • -
    • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
    • -
    • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
    • -
    • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
    • -
    • Develop your technical and leadership skills through formal and experiential training programs.
    • -
    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
    • +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      -
      -
      -

      What you’ll do

      +
    +
    +corporate_fareGoogleplaceToronto, ON, Canada
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    +bar_chartAdvanced +
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    Advanced

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    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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    +Apply
    +
    +
    -

    Joining the Human Resources team means getting up-close and personal with the talent that is transforming Bell. This unique opportunity embedded in this team will mean learning from experienced professionals and contributing to building a talent advantage. During your internship, you’ll develop critical skills needed to become a future HR leader. Over the course of our four-month internship program, you will accelerate your professional growth and development as a member of HR team. If you’re passionate, driven and find yourself seeking interesting work, new challenges and continuous learning opportunities, then we want you to join our team.

    -

     

    -

    HR Interns will have the opportunity to work with teams across Bell and play a critical role in building a talent advantage, driving employee effectiveness and enhancing organizational efficiencies to deliver the best client experience.
     

     

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    +share
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    • +linkCopy link +
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    What we’re looking for

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    Minimum qualifications:

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      +
    • Bachelor\'s degree or equivalent practical experience.
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    • 10 years of experience in a sales role in the enterprise software or cloud space.
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    • Experience selling data analytics or data management technologies to clients.
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    +

    Preferred qualifications:

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      +
    • Experience carrying and exceeding business goals in a sales role.
      +
    • +
    • Experience with data analytics technology stack.
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    • +
    • Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
      +
    • +
    • Experience prioritizing and planning sales activity and transformation strategies within business cycles aligned to data and analytics.
      +
    • +
    • Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
      +
    • +
    • Knowledge of trends, products, and solutions in cloud and data and analytics (e.g., BigQuery, Looker, Dataproc, Pub/Sub).
      +
    • +
    +
    +
    +

    About the job

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    As a Data Analytics Sales Specialist, you will help us grow our data analytics business by building and expanding relationships with new and existing customers.

    +

    In this role, you will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions teams to inform our product solutions roadmap. You will shape customers cloud and data analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply the impact of the team to drive overall value for Google Cloud.

    +

    Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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    Responsibilities

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      +
    • +Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term direction of accounts.
      +
    • +
    • Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting the territory’s business.
      +
    • +
    • Work with Google accounts and cross-functional teams (e.g., Customer Developer, Marketing, Customer Success, Product, Developer, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer and provide excellent prospect and customer experience.
      +
    • +
    • +Develop analytics solution roadmaps with customers, understand their unique and complex requirements on a business and technical level.
      +
    • +
    • +Work with multiple customers simultaneously, understand each customer’s technology footprint and strategy, growth plans, business drivers, and how they can transform their business using our technologies.
      +
    • +
    +
    +

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

    +

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    +

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    +

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    +

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    +
    +
    ",,https://www.google.com/about/careers/applications/jobs/results/112714448572949190-data-analytics-sales-specialist-iii-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345512491-data-analytics-sales-specialist-iii-google-cloud-at-google,,draft,2024-10-08T08:34:01.768Z,import-xml-feed:Google-Job-Feed,,,,,,, +816a60e0-1fc3-48e6-a2ad-2b29d5eb69a7,345788020,Scotiabank,Commercial Banking Analyst Intern Co-op Winter 2025 - Toronto (8 Months),on_site,Canada : Ontario : Toronto,2024-10-10T16:31:04.227Z,"

    +

    +

    +

    +

    Requisition ID: 206663

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    +

    +

    Commercial Banking Analyst Co-op

    +

    Start Date: January 6th

    +

    Location: Toronto, ON

    +

    Application Deadline: 10/18/2024

    +

    +

    There's no better way to kickstart your career than to join Scotiabank! You will have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it!

    +

    +

    The Sales Effectiveness team operates within the larger framework of Commercial Strategy, Performance & Client Value. Our mission is to deliver impactful training and learning programs to all sectors of Commercial Banking. By doing so, we aim to enhance the client experience and optimize internal operations for greater efficiency.

    +

    +

    Contribute to the overall success of Commercial Banking by providing high-quality support, ensuring all activities comply with governing regulations, internal policies, and procedures. Build robust partnerships across the Bank to support the team effectively, enhancing operational efficiency and compliance.

    +

    +

    Scotiabank’s Commercial Banking professionals are committed to delivering advice. You will be a trusted business advisor offering a full suite of customized lending, deposit, cash management, and trade finance solutions to mid and large-sized businesses. Team players with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment, and our one-of-a-kind people-first culture. Our Commercial Banking professionals are committed to delivering advice and a full suite of customized lending, deposit, cash management and trade finance solutions to mid and large-sized businesses. Team members with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment. We are also committed to providing advancement opportunities for those individuals who have the ability, aspiration, and engagement to contribute at higher levels.

    +

    +

    Is this role right for you? In this role, you will:

    +

    +
    • Deepen partner and stakeholder relationships by understanding business needs, being a client champion, providing administrative care and providing actionable recommendations to support deliverables and ongoing initiatives
    • Manage internal mailbox and calendars
    • Coordinate logistics of meetings, including invitations, attendance lists, room bookings and requesting technical, audio-visual and catering support
    • Create and format presentations, project plans, and learning collateral to support various initiatives.
    • Collect and assimilate information necessary to make informed decisions
    • Respond to inquiries and requests in a timely manner and escalating, as required
    • Make it easy to do business by minimizing touch points to provide fast turnaround times
    • +
    +

    +

    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

    +

    +
    • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
    • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
    • You have strong knowledge and understanding of financial statements and accounting principles
    • You have prior experience in providing customer needs-based advice and solutions
    • You have natural curiosity and passion for satisfying customer needs
    • You have analytical skills and strong attention to detail
    • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
    • You have problem solving skills
    • You have presentation skills
    • You have the ability to operate in a fast-paced, constantly changing environment
    • +
    +

    +

    How do I apply?

    +

    +

    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

    +

    +

    1. Complete your PLUM Profile here and save as a screenshot.

    +

    2. Complete a short one-way video interview here.

    +

    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

    +

    +

    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

    +

    +

    +

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Commercial-Banking-Analyst-Intern-Co-op-Winter-2025-Toronto-%288-Months%29-ON/584371317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:04.250Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788020-commercial-banking-analyst-intern-co-op-winter-2025-toronto-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Commercial-Banking-Analyst-Intern-Co-op-Winter-2025-Toronto-%288-Months%29-ON/584371317/,draft,2024-10-10T16:31:04.227Z,import-xml-feed:Scotiabank,,,,,,, +d99d1110-cd36-498f-9902-10ef0b4c54c7,345788102,Deloitte,Senior Manager - Technical Delivery GenAI,on_site,"Ontario, Canada",2024-10-10T16:36:03.627Z,"

    Job Type: Permanent
    Reference code: 125969
    Primary Location: Toronto, ON
    All Available Locations: Toronto, ON

    -

    During your internship, you will be supporting one of the following teams:

    -

    •    Talent Acquisition
    •    Talent Management
    •    Learning Strategy
    •    Compensation
    •    Mental Health and workplace practices
    •    Project Management
    •    Digital HR
    •    Business Intelligence 
    •    Employee and Executive services

    -


    Requirements
    •    You are
    graduating between spring 2026 or spring 2027.
    •    You’re a second- or third-year student studying towards a university Bachelor’s degree or college diploma in human resource management, industrial relations, or business management
    •    You are aligned with working in-person at a Toronto or Montreal-based Bell office location a minimum of 3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.

     

    +

    +

    Our Purpose

    +

    +

    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

    +

    By living our Purpose, we will make an impact that matters.

    +
    • Build your leadership skills at Deloitte University.
    • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
    • Be expected to share your ideas and to make them a reality.
    • +
    +
    +
    +

    --

    +
    +

    +

    Join our Generative AI team and shape the future of AI!

    -
    -
    -

    Leadership skills

    -

    •    You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
    •    You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
    •    You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
    •    You gain the trust of your teams, being known for demonstrating fairness and respect.
    •    You promote belonging and are flexible, accountable and collaborative.
    •    You are committed to growing your skills and learning from others.

     

    +
    +

    What will your typical day look like?

    +
    +

    +

    Work in a fast growing and exciting organization with professionals who are eminent in their respective field.

    +
    • Have challenging and interesting work in a team environment.
    • Continue your development throughout your career to reinforce and expand your chosen career path.
    • +
    +

    +


    Role Specific Responsibilities:

    +
    • Technical Leadership and Strategy: Lead a team of AI engineers and developers, setting the technical vision and architecture for generative AI projects. Foster a culture of innovation and continuous learning within the team.
    • Innovation and Prototyping: Lead the ideation and prototyping of new generative AI applications, exploring novel use cases, and pushing the boundaries of what's possible with AI. Facilitate the transition of prototypes into scalable, production-ready solutions.
    • Technical Guidance: Provide technical guidance and mentorship to the technical team members, promoting best practices in code quality, design patterns, and algorithm optimization. Lead code reviews and technical discussions to drive excellence in our AI solutions.
    • Develop a deep understanding of Deloitte’s structured & unstructured data and use that knowledge to develop new and innovative products that leverage the power of Generative AI.
    • Stakeholder Engagement: Communicate effectively with stakeholders, translating complex AI concepts into understandable insights and updates. Gather requirements and feedback to inform project direction and priorities.
    • Ethics and Compliance: Champion ethical AI development practices, ensuring compliance with data privacy laws and ethical guidelines. Promote transparency and fairness in AI models and applications.
    • +
    -
    -
    -

    Applying is simple

    +
    +

    About the team

    -

    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

    -

    1.    Review our programs and indicate up to three role choices in your application.
    2.    Complete your video interview within 48 hours. 
    3.    If selected, you will be invited to complete a phone interview or assessment to better
    understand your skills and experience.
    4.    If selected from previous step, you will be invited to a virtual panel interview.
    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial
    accepted) to be considered.

    -


    Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.
     

    +

    +

    The Generative AI CoE is an internal team within Deloitte’s ITS (Information Technology Services) organization. GenAI CoE focuses on delivering end-to-end solutions that leverage Generative AI technology including custom built & commercially available products.

    +
    +
    +
    +

    Enough about us, let’s talk about you

    +
    +

    +

    You are a senior technical expert who specializes in Generative AI. You have practical experience with Generative AI and a strong combination of technical, architectural and developer skills, as well as a good grasp of Business vision. You have excellent analytical skills and a thorough knowledge of business processes. You are skilled in leading design discussions and communicating with engineers and developers.

    +

    +

    Qualifications:

    +

    +
    • At least 5 years of hands-on experience in AI and machine learning, with last 2 years on Generative AI.
    • Proficiency in: AI and ML frameworks, Azure AI Stack, RAG, Semantic Kernal, LangChain, Python, C#, Angular, React, REST API’s
    • Solid understanding of Azure OpenAI and other leading GenAI models from Anthropic, Meta, Google & Amazon.
    • Experience in designing and implementing enterprise search frameworks.
    • Excellent analytical skills, with the ability to use data to inform product decisions and drive continuous improvement.
    • Strong cross-functional collaboration skills, with the ability to work effectively with engineering, design, data science, and business development teams.
    • Excellent communication skills, with the ability to clearly articulate complex product concepts to both technical and non-technical stakeholders.
    • Bachelor’s degree in computer science, Engineering, or a related field
    • Proven ability of delivering in a fast-paced environment involving multiple stakeholders
    • Strong commitment to professional client service excellence
    • Ability to coach junior staff.
    • +
    +
    +
    +
    +

    Total Rewards

    +


    The salary range for this position is $104,000 - $215,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

    Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

    -

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Intern 
    Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal 
    Work Arrangement: Hybrid
    Application Deadline: 11/03/2024

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    Created: Canada, QC, Montreal

     

    Bell, one of Canada's Top 100 Employers.

     

    #CampusHR24

    ",,https://jobs.bell.ca/ca/en/job/BECACA420043EXTERNALENCA/2025-Internship-Program-Human-Resources?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.368Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569017-2025-internship-program-human-resources-at-bell-canada,BECACA420043EXTERNALENCA,draft,2024-09-25T21:25:03.357Z,import-xml-feed:Bell-Canada,,,,,,, -6fd41fba-00b3-4e23-932c-f0bfe1fd08cb,343569018,BELL CANADA,"2025 Internship Program- Operations, Strategy, Design & Delivery",on_site,"Mississauga, Ontario, Canada",2024-09-25T21:25:03.462Z,"

     ​Req Id: 420045


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other interns and grads attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    +

    +

    Our promise to our people: Deloitte is where potential comes to life.

    +

    +

    Be yourself, and more.

    +

    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

    +

    You shape how we make impact.

    +

    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

    +

    Be the leader you want to be

    +

    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

    +

    Have as many careers as you want.

    +

    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

    The next step is yours

    +

    +

    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

    +

    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

    +

    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

    ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager-Technical-Delivery-GenAI-ON/1143441000/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T16:36:03.636Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788102-senior-manager-technical-delivery-genai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager-Technical-Delivery-GenAI-ON/1143441000/,draft,2024-10-10T16:36:03.627Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, +6830e57b-a362-4918-9d97-59fe085919d8,345756903,BMO Financial Group,"Manager, Quantitative Analysis, Strategy, and Insights",on_site,"Ontario, Canada",2024-10-10T08:18:04.030Z,"
    +

    Application Deadline:

    10/11/2024

    +

    +

    Address:

    100 King Street West

    +

    +

    Job Family Group:

    Data Analytics & Reporting

    +

    +

    +

    +

    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

    +
      +
    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
    • +
    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
    • +
    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
    • +
    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
    • +
    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
    • +
    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
    • +
    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
    • +
    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
    • +
    • Performs experimental design approaches to validate finding or test hypotheses.
    • +
    • Uses the appropriate algorithms to discover patterns.
    • +
    • Builds effective relationships with internal/external stakeholders and ensures alignment.
    • +
    • Supports development of tools and delivers training for data analytics and AI.
    • +
    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
    • +
    • Leads/participates in the design, implementation and management of core business/group processes.
    • +
    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
    • +
    • Exercises judgment to identify, diagnose, and solve problems within given rules.
    • +
    • Works independently on a range of complex tasks, which may include unique situations.
    • +
    • +Broader work or accountabilities may be assigned as needed.
      Qualifications:
        +
      • Typically between 4 - 6 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
      • +
      • Experience in statistical analysis, data mining, and data cleansing / transformation.
      • +
      • Knowledge of visualization techniques and concepts (e.g, Power BI, SpotFire).
      • +
      • Knowledge of distributed computing and/or distributed databases.
      • +
      • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
      • +
      • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
      • +
      • Technical proficiency gained through education and/or business experience.
      • +
      • Verbal & written communication skills - In-depth.
      • +
      • Collaboration & team skills - In-depth.
      • +
      • Analytical and problem solving skills - In-depth.
      • +
      • Influence skills - In-depth.
      • +
      • Data driven decision making - In-depth.
      • +
      +
    • +
    +

    +
    +

    +

    Salary:

    +
    $81,600.00 - $151,200.00

    +

    Pay Type:

    Salaried

    +

    The above represents BMO Financial Group’s pay range and type.

    +

    +

    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

    +

    +

    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

    +

    +

    +

    We’re here to help

    +

    +

    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

    +

    +

    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

    +

    +

    To find out more visit us at https://jobs.bmo.com/ca/en.

    +

    +

    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

    +

    +

    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

    +
    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis--Strategy--and-Insights_R240026068?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-14T08:23:03.231Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345756903-manager-quantitative-analysis-strategy-and-insights-at-bmo-financial-group,,draft,2024-10-10T08:18:04.030Z,import-xml-feed:BMO-Job-Feed,,,,,,, +1eb90306-6b01-496a-b88a-88f4d2e64c84,345360972,Google,"gTech Strategy and Operations Lead, Extended Workforce Solutions",on_site,"Toronto, ON, Canada",2024-10-07T08:34:02.959Z,"
    +
    +

    gTech Strategy and Operations Lead, Extended Workforce Solutions

    +
    +
    +
    +
    +share +
    +
      +
    • +linkCopy link +
    • +
    • +emailEmail a friend +
    • +
    +
    +
    +
    +
    +corporate_fareGoogleplaceToronto, ON, Canada
    +
    +
    +
    +bar_chartMid +
    +
    +

    Mid

    +
    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
    +
    +
    +
    +
    +
    +Apply
    +
    +
    +
    +
    +
    +share +
    +
      +
    • +linkCopy link +
    • +
    • +emailEmail a friend +
    • +
    +
    +
    +
    +
    +

    Minimum qualifications:

    +
      +
    • Bachelor\'s degree or equivalent practical experience.
    • +
    • 6 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity or corporate advisory, or 4 years of experience with an advanced degree.
      +
    • +
    • 3 years of experience working with executive stakeholders.
      +
    • +
    • 2 years of experience developing business strategies or managing cross-functional initiatives.
      +
    • +
    +

    Preferred qualifications:

    +
      +
    • Experience collaborating with multiple stakeholders across organizational boundaries.
      +
    • +
    • Experience in analytical or go-to-market roles in fields like management consulting, investment banking, corporate strategy, and strategy and operations roles.
      +
    • +
    • Experience partnering in a cross-functional environment and working with others collaboratively (e.g., data science, finance, marketing, etc.).
      +
    • +
    • Demonstrated ability to leverage data and analytics to deliver insights and recommendations for business direction and priorities.
      +
    • +
    • Excellent communication and presentation skills with the ability to take complex, ambiguous topics and turn them into compelling narratives for different audiences.
      +
    • +
    +
    +
    +

    About the job

    +

    gTech’s Strategy and Operations team (gSO) is made up of strategic partners and trusted advisors that drive success and transformative changes for gTech. We create value through deep functional and business expertise combined with analytical rigor to formulate and deliver strategies. Using core capabilities ― strategy, analytics, and communications ― we empower gTech to do amazing things to land the present, and build for the future.

    +

    gTech’s Extended Workforce Solutions team enables product areas to effectively and efficiently scale their outsourced operations while managing risks. Our goal is to enable our partners to make informed decisions to put the right talent in the right locations to deliver the best possible outcomes for their business needs. Our partnership with teams across Google aims to provide an excellent user experience and minimize administrative burden throughout the process. We assist with planning and strategy, and provide tools to support product areas in managing their extended workforce infrastructure. We strike a balance between optimizing engagements and making sure all policies and guidelines pertaining to contingent work are followed.

    +

    In this role, you will independently lead projects and drive impact across key strategic questions for the business. You will simplify and effectively communicate these problems, advocate and challenge stakeholders, and collaborate with cross-functional stakeholders across the business. You need to be able to understand business context, be comfortable with ambiguity, and prioritize and quickly recognize what is most critical. You are a collaborative, data-driven, analytical problem solver who is able to effectively lead and manage multiple work streams, projects, and stakeholders across time zones on a global scale.

    +
    +
    +

    Responsibilities

    +
      +
    • Own and lead complex, cross-functional strategic initiatives for EExtended Workforce Solutions (xWS).
      +
    • +
    • Identify and structure business problems and effectively communicate core issues.
      +
    • +
    • Drive the execution of multiple initiatives simultaneously, preempt and resolve potential issues and concerns.
      +
    • +
    • Launch and land organizational change management plans for mid- to long-term initiatives.
      +
    • +
    • Gather data and conduct analyses supporting in-going hypotheses and generate actionable insights.
      +
    • +
    +
    +
    +

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

    +

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    +

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    +

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    +

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    +
    +
    ",,https://www.google.com/about/careers/applications/jobs/results/124487604719493830-gtech-strategy-and-operations-lead-extended-workforce-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-06T08:34:02.971Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345360972-gtech-strategy-and-operations-lead-extended-workforce-solutions-at-google,,draft,2024-10-07T08:34:02.959Z,import-xml-feed:Google-Job-Feed,,,,,,, +11b9ee4c-3b9f-4db6-85e7-ab1179485514,345449115,BELL CANADA,2025 Internship Program- Software Development,on_site,"Don Mills, Ontario, Canada",2024-10-07T21:25:04.311Z,"

     ​Req Id: 420065


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    -

    This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website. 

    +

    This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

    Why join us?

    -

     

      -
    • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
    • -
    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
    • -
    • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
    • -
    • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
    • -
    • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
    • -
    • Develop your technical and leadership skills through formal and experiential training programs.
    • -
    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
    • +
    • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
    • +
    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
    • +
    • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
    • +
    • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
    • +
    • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
    • +
    • Develop your technical and leadership skills through formal and experiential training programs.
    • +
    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.

     

    -

    What you’ll do

    -

     

    -

    Do you want to make an impact by supporting and growing the best networks and technologies across the country? At Bell, our teams use the newest technologies and lots of data to make important changes that help our business grow. In this internship you’ll be supporting problem solving to help Bell deliver innovative services, business solutions and the best customer experience. You'll also get to help make things better by using smart ideas and agile methods to make our work faster and better.

    +

    What you’ll do 

    +


    Impactful decisions-making, creative solution-exploration and innovative thinking all describe the roles on our Software Development team. As an intern, you’ll bring new ideas to solving complex challenges all while you enjoy a collaborative and supportive environment with access to the latest technology. You can look forward to contributing to B2B solutions, develop business opportunities and work on new product roadmaps.

    @@ -3004,323 +3347,160 @@ f14a2f9b-dc66-4144-86b3-c608ed5c934c,343569017,BELL CANADA,2025 Internship Progr

    What we’re looking for

    +

    Requirements

     

    -

    Within our Operations, Strategy, Design and Delivery function, we have several opportunities available. For more details on each of the below roles, click here.  

    +
    • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, software, computer science, IT. (however, if you believe you are up for the challenge with a different degree, you are welcome to apply)                                                  
    +

     

    +

    Technical Skills

     

      -
    • Operations
    • -
    • Business Analyst
    • -
    • Project Manager 
    • -
    • Supply Chain
    • -
    • Business Process 
    • +
    • You have capability and passion to continuously learn different programming languages (ex. Java, JavaScript, Python, C#.NET, GOLANG)
    • +
    • You are familiar with SAP programming (ABAP) 
    • +
    • You are interested in web development (IE, ReactJS, Angular, VueJS) 
    • +
    • You are familiar with different working methodologies i.e. DevOps, CI/CD, TDD/BDD 
    • +
    • You have a desire to learn how to develop and work with cloud technologies (AWS, Azure, GCP, Kubernetes, Docker, Openshift (OCP) etc.) 
    • +
    • You have an interest in data management (SQL and Non-SQL databases: PostgreSQL, MariaDB, MongoDB, Redis, Cassandra, Oracle, SQL Server) and caching tools (Redis, Red Hat DataGrid, SOSS)
    • +
    • You are open to explore different avenues of software development such as (but not limited to) front-end, back-end or full stack development 
    • +
    • You are willing to learn and adopt security by design in all your development work
    -

     

    -

    Requirements

    -

     

    -
    • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in engineering, business, business technology management, computer science, mathematics, statistics, operations/logistics/supply chain or related fields.
    -

    Technical skills (you have some of the following)

    +

    Leadership skills

     

      -
    • Knowledge of/experience in change management, project management, data analytics or supply chain and logistics
    • -
    • Knowledge of programming languages (Python, JavaScript, etc.)
    • -
    • Advanced analytical and data analysis skills; experience working with excel
    • -
    • Knowledge of Agile principles and tools 
    • +
    • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
    • +
    • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
    • +
    • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
    • +
    • You gain the trust of your teams, being known for demonstrating fairness and respect.
    • +
    • You promote belonging and are flexible, accountable and collaborative.
    • +
    • You are committed to growing your skills and learning from others.
    +


    Applying is simple 

     

    -

    Leadership skills

    +

    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

     

    -
      -
    • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
    • -
    • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
    • -
    • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
    • -
    • You gain the trust of your teams, being known for demonstrating fairness and respect.
    • -
    • You promote belonging and are flexible, accountable and collaborative.
    • -
    • You are committed to growing your skills and learning from others.
    • -
    +

    1.    Review our programs and indicate up to three role choices in your application.
    2.    Complete your video interview within 48 hours. 
    3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
    4.    If selected from previous step, you will be invited to a virtual panel interview.

    +

     

    +

    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

    +

     

    +

     Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

    +

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Intern 
    Job Location: Canada : Ontario : Mississauga || Canada : New Brunswick : Fredericton || Canada : Nova Scotia : Halifax || Canada : Ontario : Don Mills || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal || Canada : Quebec : Quebec City 
    Work Arrangement: Hybrid
    Application Deadline: 11/03/2024

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    #CampusSoftDev24

     

    Created: Canada, ON, Mississauga

     

    Bell, one of Canada's Top 100 Employers.

    ",,https://jobs.bell.ca/ca/en/job/BECACA420065EXTERNALENCA/2025-Internship-Program-Software-Development?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:04.319Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345449115-2025-internship-program-software-development-at-bell-canada,BECACA420065EXTERNALENCA,draft,2024-10-07T21:25:04.311Z,import-xml-feed:Bell-Canada,,,,,,, +27cc6779-1392-4629-a7b0-7d44849dc68a,345449112,BELL CANADA,2025 Graduate Program- Engineering,on_site,"Thunder Bay, Ontario, Canada",2024-10-07T21:25:03.911Z,"

    ​Req Id: 420052


    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

     

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


    Join us. You belong at Bell. 

     

    Launch your career at Bell and join the best-in-class Internship and Graduate program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads and interns attending exclusive events and networking opportunities. 

     

    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

     

    -

    Applying is simple

    +

    -
    -

     

    -

    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

    -

     

    -
      -
    1. Review our programs and indicate up to three role choices in your application.
    2. -
    3. Complete your video interview within 48 hours. 
    4. -
    5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
    6. -
    7. If selected from previous step, you will be invited to a virtual panel interview.
    8. -
    -

     

    -

    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

    -

     

    -

    Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

    +

    This application is specifically for the Graduate program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

    +
    +
    +

    Why join us?

    -

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Intern 
    Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
    Work Arrangement: Hybrid
    Application Deadline: 11/03/2024

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    Created: Canada, ON, Mississauga

     

    #CampusOperations24

     

    Bell, one of Canada's Top 100 Employers.

    ",,https://jobs.bell.ca/ca/en/job/BECACA420045EXTERNALENCA/2025-Internship-Program-Operations-Strategy-Design-Delivery?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.486Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569018-2025-internship-program-operations-strategy-design-delivery-at-bell-canada,BECACA420045EXTERNALENCA,draft,2024-09-25T21:25:03.462Z,import-xml-feed:Bell-Canada,,,,,,, -b0e34091-f64d-461f-92bc-461a7c7e6343,346652963,Scotiabank,"Senior Audit Manager, IT Audit",on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.595Z,"

    -

    -

    -

    -

    Requisition ID: 209118

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    -

    -

    Purpose:
    The Audit Department is the 3rd Line of Defense and plays a key role in the internal control system of the Bank. Its mandate is to provide enterprise-wide, independent, objective assurance over the design and operation of the Bank’s internal control, risk management and governance processes.

    -


    The objective of this position is to fulfill a Senior Manager role, within a team of IT audit professionals to assess the design and operational effectiveness of internal controls relating to IT technology, applications, data, third party, risk management, projects and related processes supporting businesses throughout Bank. Leads and oversees the Audit Function globally ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

    -

    Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    -

    Accountabilities

    -
    • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

    • Act primarily as Officer in Charge (OIC) for assigned projects, processes and units. May act as Audit Principal in some low to medium complexity assignments.

    • Ensure Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

    • Assists in the development and execution of a comprehensive and strategic audit plan. Ensures auditable entities remain within cycle and conducts ongoing monitoring activities to stay abreast of changes (business/industry/regulatory) / emerging risks / themes or systemic issues that may impact the risk assessment of the audit universe and the audit plan. May also execute assigned audit activities independently as a team member under the direction of the OIC on assignments.

    • Lead the execution, planning, and reporting on the assigned audit projects. Obtains a thorough understanding of the business/unit/process and associated risks, develops a risk-based audit plan/procedures, and schedules timing and resources.

    • Manages and supervises end- to- end process of the execution of the audit, and ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. Completes timely review of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and are communicated timely to management.

    • Ensures audit results are gathered, determine the root cause of the problem and the associated impact and report accordingly. Confirm the audit results with the auditee. Present an overview of the audit results and findings to line management. Follow-up for corrective action/progress against any reported issues. Escalate where necessary.

    • Ensures audit reports are written to a consistent high standard and are finalized within established department metrics.

    • Carry out specific projects or investigations of a moderate or high complexity and/or confidential nature. Plan, document and seek agreement in advance to the project approach and confirm conclusions upon completion in writing.

    • Manage self-development by confirming/communicating job expectations, identifying mentors/coaches and enquiring about training needs, ensuring timely completion of performance appraisals, recruiting, interviewing and selecting candidates, manages assigned staff.

    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

    • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

    • -
    -


    Education/Experience:

    -
    • Extensive experience in auditing IT processes general controls (ITGC), application, data, third party, technology controls and Project audits. Technology Risk Management experience in financial services industry is a significant advantage.

    • Strong people management and coaching/development skills.

    • Strong project management, planning, and organizational skills.

    • Highly proficient at applying risk-based auditing standards, practices, techniques, processes and methodologies to performance and review of audits.

    • Working knowledge of the operations and regulatory environments of each of the audit units globally, as required for specific areas of assigned responsibility.

    • Ability to supervise multiple projects at any given time.

    • Highly developed interpersonal and communication skills (verbal and written) to work with staff and management at various levels.

    • Strong analytical skills and proficiency in the use of data analytic or visualization tools. Experience with Python, JavaScript, and Data Analytics and using automation and data analytics tools including SAS, ACL, advanced Excel, etc.

    • Proven ability to work in high levels of ambiguity and in a rapidly changing environment.

    • Bachelor's degree in Information Technology, Computer Science or related field.

    • One or more of the following certifications: CIA, CISA, CRISC, CDMP, CIMP

    • -
    -

    -

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Audit-Manager%2C-IT-Audit-ON/585669717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-16T16:31:03.606Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346652963-senior-audit-manager-it-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Audit-Manager%2C-IT-Audit-ON/585669717/,draft,2024-10-17T16:31:03.595Z,import-xml-feed:Scotiabank,,,,,,, -b25e3f14-4ef9-47aa-bd16-13775d822fd6,347009871,OMERS,"Analyst/Associate, Investment Risk",on_site,"Ontario, Canada",2024-10-20T08:58:02.206Z,"
    -

    Choose a workplace that empowers your impact.

    -

    Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

    -

    -

    We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

    -

    -

    Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

    -

    -

    Don’t just work anywhere — come build tomorrow together with us.

    -

    -

    Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

    -

    -

    -

    We are looking for an Analyst or Associate to join our Oxford Investment Risk team in Toronto. Under the leadership of the Head of Risk, the Investment Risk group provides investment risk management advisory and oversight for Oxford, including risk analysis and review for potential acquisitions, dispositions, and developments. In this role you will have the opportunity to support strategic and emerging risk initiatives, collaborate with investment, development, asset management, finance and legal functions across Oxford’s global platform, and work closely with the OMERS risk team. You will also play a key role in creating/improving the team’s infrastructure and processes and expanding its capabilities.

    -

    -

    You will work with and learn from a diverse team, collaborate with different groups across OMERS and Oxford, and provide insights to decision-makers. If you\'re a self-starter with relevant experience and strong problem-solving skills, we encourage you to apply!

    -

    -

    This is a unique opportunity that offers you the ability to:

    -
      -
    • Broaden your internal network with investment professionals across Oxford and the Risk teams of both Oxford and OMERS
    • -
    • Obtain visibility with Executive and Risk Leadership, through the development and presentation of insights either with transaction risk reviews, risk topic deep dives, or portfolio risk reporting/analysis
    • -
    • Develop a deep understanding of the entire Oxford investment portfolio, including value creation strategies and current occupier/investment market conditions
    • -
    • Learn about real estate investment risk management practices
    • -
    • Support the development of Oxford’s Investment Risk function, in coordination with the OMERS risk team
    • -
    • Leverage experience from your existing role within Oxford or OMERS to enhance the Oxford Investment Risk group’s practices
    • -
    -

    -

    As a member of our team, you will be responsible for:

    -
      -
    • Contributing to asset and portfolio risk reviews/analysis, where you will develop a variety of fundamental and quantitative analytics to assess risks in our assets/portfolios and prepare presentations to discuss key insights and takeaways with the Risk leadership team.
    • -
    • Contributing to Transaction Risk Reviews for new acquisitions, dispositions or developments across Oxford by working closely with the transaction teams to ensure key risks are properly identified, well understood, and incorporated into the investment assumptions.
    • -
    • -Drafting Transaction Risk Reports that are submitted to the Oxford Investment Committee (Oxford IC), the Transaction Advisory Committee (TAC), and/or the Board Investment Committee (IC), discussing the key risks and assessing the implications of the proposed investments/dispositions for the broader portfolio. -
    • -
    • Contributing to projects / deep dives across a variety of fields, such as risk modeling, scenario analysis, liquidity, climate risk, customized risk and/or performance benchmarks.
    • -
    -

    -

    To succeed in this role, you should have:

    -
      -
    • - An undergraduate or post-graduate degree in Economics, Real Estate, Commerce, Finance, or Engineering -
    • -
    • Possession of (or working towards) a CFA, FRM and/or a professional accounting designation considered an asset
    • -
    • 2 to 5 years of experience in a real estate, risk, or finance-related role
    • -
    • Strong inductive, deductive, and critical thinking skills
    • -
    • A strong understanding of real estate or private investment asset classes, including different valuation methodologies used and portfolio construction concepts
    • -
    • Financial Statement Analysis knowledge such as Equity Research and/or Credit Analysis experience is a plus
    • -
    • Excellent communication and presentation skills with an ability to communicate complex information in a digestible format to senior audiences
    • -
    • Self-motivated individual with a strong work ethic and a high level of attention to detail
    • -
    • Ability to work well under pressure with multiple or competing deadlines
    • -
    • Ability to work effectively in a team environment and independently as required
    • -
    • Highly proficient in Microsoft Excel, Word, PowerPoint
    • -
    • Knowledge of Data Visualization (e.g., PowerBI), Statistical Analysis software (R, SAS, SPSS), programming (Python, VBA), or Data Science considered an asset
    • -
    -

    -

    #LI-Hybrid

    -

    -

    -

    Oxford\'s purpose is to strengthen economies and communities through real estate.

    -

    Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

    -

    -

    From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

    -
    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst-Associate--Investment-Risk_JR-6560?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-19T08:58:02.207Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347009871-analyst-associate-investment-risk-at-omers,,draft,2024-10-20T08:58:02.206Z,import-xml-feed:Selenium-Scraper,,,,,,, -df3abdee-22e3-4e1c-a0fc-7268c2f3a3ec,347102664,RBC,"Director, Data Management Enablement",on_site,"Toronto, ON, Canada",2024-10-21T08:20:03.429Z,"
    -

    Job Summary

    -

    -

    -

    Job Description

    -

    -

    What is the opportunity?

    -

    -

    Enterprise Data Management Office (EDMO) is the facilitating body for all Data Management Offices for RBC focused on driving consistency and standardization across the DMOs. EDMO will partner with the DMOs to establish an effective DMO Target Operating Model and leading the Data Management and Compliance Council (DMCC) forum for all data management activities across RBC. EDMO also enables and supports the Functional Data Domains across RBC ensuring consistency in the implementation of the Standards of Care.

    -

    -

    The Director, Data Management Enablement will work closely with functions line of business to establish and accelerate data management activities that benefit business opportunities while establishing data domain control points resulting in a data management strategy and execution that unlocks the business value of data in a safe policy adherent manner

    -

    -

    What will you do?

    -
      -
    • Identify and build re-useable acceleration strategies around data management gap and business priorities
    • -
    • Meet FY Policy deliverables to support business priorities and align with Data Policy requirements and adherence
    • -
    • Develop Functions Data Management roadmaps
    • -
    • Document and analyze data management gaps against domain strategy
    • -
    • Build and maintain a comprehensive inventory of Data Management components within the functional lines
    • -
    • Establish data management forums for the functional lines of business and collaborate with CDO teams and external partners
    • -
    -

    -

    -

    What do you need to succeed?

    -

    -

    Must-have

    +
      -
    • Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
    • -
    • Experience in issue remediation and effective escalation and resolution
    • -
    • Experience RBC data management and/or risk management
    • -
    • Exposure to regulatory responses and remediation, including but not limited to OSFI
    • +
    • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
    • +
    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more.
    • +
    • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
    • +
    • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
    • +
    • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
    -

    -

    Nice-to-have

    +

     

    +

     

    +

    What you’ll do

    +

     

    +

    Launch your career as a graduate in the Engineering team where you will be making an impact on some of our most critical assets. Daily, you will have the opportunity to be hands-on in Bell’s transformation to techco, working on project management and agile methodologies in a construction environment. Engineering also includes important work in network architecture focused on radio communications or supporting our B2B clients, network architectures, data analytics, and cloud technologies or design and wireless systems.

    +

     

    +

    Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

    +

     

    +

     

    +

    What we’re looking for

    +

     

    +

    Within our Engineering function, we have several opportunities available. For more details on each of the below roles, click here.

    +

     

      -
    • Experience in RBC’s Agile Program Management Framework is an asset
    • -
    • Works strategically, stretching beyond traditional information management practices, leveraging industry leading and innovative approaches to solving data challenges
    • -
    • Understanding of Functions data is an asset. Functions include areas like Procurement, Human Resources, Corporate Real Estate, Location, Audit, Fraud, Cyber Security and more
    • +
    • Access Network Engineering
    • +
    • Network Architecture and Engineering
    • +
    • Construction Project Management
    • +
    • Technology Specialist (Network)
    -

    -

    -

    What’s in it for you?

    -

    We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

    -
      -
    • A comprehensive Total Rewards Program including bonuses and flexible benefits
    • -
    • Work on a dynamic topic of strategic importance
    • -
    • Ability to make a difference and lasting impact
    • -
    • Work in an agile, collaborative, progressive, and high-performing team
    • -
    • The opportunity to interface with executives from many different parts of the organization
    • -
    -

    -

    -

    Job Skills

    Big Data Management, Critical Thinking, Data Governance, Knowledge Organization, Logical Data Modeling, Long Term Planning, Repository Tools, Results-Oriented, Risk Management

    -

    -

    -

    Additional Job Details

    -

    Address:

    BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    STRATEGY AND ADMINISTRATION

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2024-09-19

    Application Deadline:

    2024-10-31

    -

    -

    -

    -

    -
    -

    Inclusion and Equal Opportunity Employment

    -

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
    ​​​​​​​
    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

    -
    -

    -

    -

    -

    Join our Talent Community

    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

    -
    ",,https://jobs.rbc.com/ca/en/job/R-0000099322/Director-Data-Management-Enablement,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-20T08:20:03.445Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102664-director-data-management-enablement-at-rbc,,draft,2024-10-21T08:20:03.429Z,import-xml-feed:RBC-Job-Feed,,,,,,, -995a779f-cc0b-43fa-8305-742e3ba0b69a,343662387,NVIDIA,Senior ASIC Verification Engineer - GPU,on_site,"Ontario, Canada",2024-09-26T08:58:01.544Z,"
    -Senior ASIC Verification Engineer - GPU page is loaded
    -
    -

    Senior ASIC Verification Engineer - GPU

    - -
    -
    -
    -
    -
    locationsCanada, Toronto
    -
    -
    -
    time typeFull time
    -
    -
    posted onPosted 11 Days Ago
    -
    -
    job requisition idJR1975183
    -
    -

    NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC\'s and GPU\'s. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

    -
    -

    -

    In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.

    -

    -

    What you\'ll be doing:

    -
      -
    • As a key member of our ASIC Verification team, you will verify the design and implementation of the industry\'s leading GPUs

    • -
    • You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM

    • -
    • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design

    • -
    • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

    • -
    -

    -

    What we need to see:

    -
      -
    • Bachelors Degree in EE, CS or CE or equivalent experience

    • -
    • 5+ years of relevant experience

    • -
    • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies

    • -
    • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)

    • -
    • Expertise in System Verilog or similar HVL

    • -
    • You display strong debugging and analytical skills

    • -
    • Perl and C/C++ programming language experience desirable

    • -
    • Prior experience with arbiters, interconnect networks and/or caches is desirable

    • -
    • Strong communication skills and ability & desire to work as a great teammate are huge plus

    • -
    • Experience in crafting test bench environments for unit and system level verification

    • +
      +
      +

      Requirements

      +
      +
      +
      • You have a Bachelor's or Master's degree in Engineering (Electrical, Civil, Industrial, Mechanical), Engineering Science/Physics, Computer Science or related field (if you believe you are up for the challenge with a different degree/diploma, you are welcome to apply)
      +
      • +You have a desire to expand your knowledge in any of the following fields:
          +
        • Project management and Agile methodologies in a construction environment
        • +
        • Network architecture and design (hardware and software), routing protocols and principles
        • +
        • Broadcast, data center and/or cloud technologies
        • +
        • Radio communications and/or wireless systems
        -

        -

        NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.

        -
    -

    -

    The base salary range is 97,500 CAD - 214,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
    -

    You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

    -

    -
    -

    -

    -
    + +
    • A valid driver's license or equivalent might be required.
    -
    -
    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-ASIC-Verification-Engineer---GPU_JR1975183?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-10-26T08:58:01.544Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662387-senior-asic-verification-engineer-gpu-at-nvidia,,draft,2024-09-26T08:58:01.544Z,import-xml-feed:Selenium-Scraper,,,,,,, -ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",on_site,"Ontario, Canada",2024-10-17T08:58:02.371Z,"
    -

    At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
    We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

    -

    -

    -

    Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Mechanical - Field position in Edmonton, AB from May – August 2025.

    -

    Job Summary

    -

    The Intern, Mechanical - Field is responsible for collaborating with the Mechanical Field leadership to ensure railcar inspection maintenance and repair is performed safely and efficiently. The incumbent works with different teams such as Mechanical, Transportation, and Reliability to contribute to safety orientation, compliance, enforcement, and Key Performance Indicators (KPIs). The position is involved in leading projects and overseeing project portfolios.

    -

    Major Responsibilities

    -
      -
    • Support Online Failure Investigation and follow-up
    • -
    • Assist in response to dangerous good incidents and leaks in yards
    • -
    • Assist with creation, auditing, and implementation of standard operating procedures
    • -
    • Contribute to ensuring that Performance Monitoring Reporting Compliance (PMRC) targets, expectations, and objectives are met
    • -
    • Analyze car inspection and repair productivity using CN’s data
    • -
    • Perform analysis on locomotive reliability and repair billing initiatives
    • -
    • Assist in identifying, developing, and initiating improvement activities
    • -
    • Support in the creation and implementation of locomotive automated alerts
    • -
    • Assist with development of KPIs on reliability performance
    • -
    • Help in documenting, identifying, and analyzing failure patterns
    • -
    • Launch surveys to conduct root cause analysis requirements
    • -
    • Help with special projects, data analysis and recommendations for improvement, reporting, presentations, and onsite audits of various terminals throughout the region
    • -
    -

    Requirements

    -
      -
    • Advanced knowledge of Microsoft Office (Excel, PowerPoint, SharePoint, Teams Notes, and Word)
    • -
    • Knowledge of reporting software such as Tableau and Smartsheet
    • -
    • Knowledge of Systems, Applications and Products (SAP), Query Designer, ARIBA or equivalent*
    • -
    • Knowledge of Service Reliability System (SRS)*
    • -
    • Valid Driver’s License
    • -
    • Ability to work outdoors in various types of weather and environmental conditions
    • -
    • Ability to perform occasional travel (25%) between Canada and the United States (U.S.)
    • -
    -

    Education

    -
    • Working towards a Bachelor’s Degree in Mechanical or Industrial Engineering, BCom, Computer Science, or Construction Management
    -

    *Any experience/education/skills/knowledge for these above would be considered as an asset

    -

    -



    About CN

    CN is a world-class transportationleader and trade-enabler. Essential to the economy, to the customers, and tothe communities it serves, CNsafely transports more than 300 million tons of natural resources, manufacturedproducts, and finished goods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributingto community prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. AtCN, we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.

    -

    At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

    -

    As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

    -

    -
    ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14624?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-16T08:58:02.372Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634427-intern-mechanical-field-at-cn,,draft,2024-10-17T08:58:02.371Z,import-xml-feed:Selenium-Scraper,,,,,,, -463612cf-6316-4ab3-bf32-7b2c470d56ec,347102859,Google,"Technical Solutions Specialist, Billing, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:02.867Z,"
    +
    +
    +

    Technical Skills (you have some of the following):

    +
    +
      +
    • You are proficient in Teldig and Cognibox (applicable for Access Network Engineering roles).
    • +
    • You have excellent knowledge of MS Excel.
    • +
    • You have knowledge of Agile methodologies. 
    • +
    • You have knowledge of Python programming (object-oriented programming).
    • +
    • Your technical acumen includes Cloud containers and Broadcast knowledge (applicable for Architecture & Engineering role).
    • +
    • You are familiar with construction drawings and structural analysis (if applicable).
    • +
    • You have a solid understanding of building materials, construction regulations and quality standards.
    • +
    +
    +
    +
    +

    Leadership Skills

    +
    +
      +
    • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
    • +
    • You gain the trust of your teams, being known for demonstrating fairness and respect.
    • +
    • You promote belonging and are flexible, accountable and collaborative.
    • +
    • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
    • +
    • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
    • +
    • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team.
    • +
    • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
    • +
    • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
    • +
    • You are committed to growing your skills and learning from others.
    • +
    • Your leadership qualities have been demonstrated through extracurricular activities and projects.
    • +
    +
    +
    +
    +

    Applying is simple

    +
    +
    +

    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

    +

     

    +
      +
    1. Review our programs and indicate up to three role choices in your application.
    2. +
    3. Complete your video interview within 48 hours. 
    4. +
    5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
    6. +
    7. If selected from previous step, you will be invited to a virtual panel interview.
    8. +
    +

     

    +

    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

    +


    Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled

    +
    +
    +

    #EmployeeReferralProgram

     

    Adequate knowledge of French is required for positions in Quebec.

     

    Additional Information:
    Position Type: Management 
    Job Status: Grad Hire 
    Job Location: Canada : Ontario : Toronto || Canada : New Brunswick : Moncton || Canada : New Brunswick : Saint John || Canada : Nova Scotia : Halifax || Canada : Ontario : Barrie || Canada : Ontario : Huntsville || Canada : Ontario : London || Canada : Ontario : Milton || Canada : Ontario : Mississauga || Canada : Ontario : Nepean || Canada : Ontario : Newmarket || Canada : Ontario : Ottawa || Canada : Ontario : St. Catharines || Canada : Ontario : Thunder Bay || Canada : Quebec : Montreal || Canada : Quebec : Quebec City 
    Work Arrangement: Hybrid
    Application Deadline: 11/03/2025

     

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

     

    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

     

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

     

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

     

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
     

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

     

    #CampusEng24

     

    Created: Canada, ON, Mississauga

     

    Bell, one of Canada's Top 100 Employers.

    ",,https://jobs.bell.ca/ca/en/job/BECACA420052EXTERNALENCA/2025-Graduate-Program-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:03.920Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345449112-2025-graduate-program-engineering-at-bell-canada,BECACA420052EXTERNALENCA,draft,2024-10-07T21:25:03.911Z,import-xml-feed:Bell-Canada,,,,,,, +8b773569-f1de-4354-82e7-6f6cfa48c8d5,347468861,Google,"Global Strategic Program Manager, gTech Analytics, Products, Tools",on_site,"Toronto, ON, Canada",2024-10-24T08:34:02.994Z,"
    -

    Technical Solutions Specialist, Billing, Google Cloud

    +

    Global Strategic Program Manager, gTech Analytics, Products, Tools

    @@ -3339,7 +3519,7 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o
    -corporate_fareGoogleplaceWaterloo, ON, Canada
    +corporate_fareGoogleplaceToronto, ON, Canada
    @@ -3353,7 +3533,7 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o
    -Apply
    +Apply
    @@ -3375,38 +3555,47 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o

    Minimum qualifications:

      -
    • Bachelor\'s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
    • -
    • 5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations, or transformation programs.
    • +
    • Bachelor’s degree or equivalent practical experience.
      +
    • +
    • 5 years of experience in a project management or a customer-facing role, managing transformational programs.
      +
    • +
    • Experience creating and delivering presentations at the executive level with stakeholders.
      +
    • +
    • Experience scoping, managing and delivering projects.
      +

    Preferred qualifications:

      -
    • Experience with programming/scripting languages such as Java, C, C++, Python, shell scripting, and JavaScript.
    • -
    • Experience in Linux/Unix, basic systems administration.
    • -
    • Experience with account management and billing systems particularly with SAP.
    • -
    • Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and MapReduce.
    • -
    • Understanding of the following Internet technologies: web-tech (HTTP, DNS, TLS, HTML), networking (routing, TCP/IP).
    • +
    • Experience in project/program management, while leading and implementing high-impact projects with cross-functional teams.
      +
    • +
    • Experience navigating ambiguity and management through change.
      +
    • +
    • Experience in strategy, change management and rolling-out large scale initiatives.
      +
    • +
    • Ability to manage multiple, time-sensitive projects with engaged priorities while working independently to drive projects to completion with guidance and high attention to detail.
      +
    • +
    • Ability to translate analysis results into insights and business recommendations while working with data, analytics and technical teams.
      +
    -

      About the job

      -

      -

      In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is focused on the customer, and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.

      -

      -

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      +

      gTech’s Analytics, Products and Tools team (gAPT) leverages deep user
      insights and gen AI technology to improve or automate Google\'s Ads customer support experiences. gAPT partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to simplify our Ads support products and build the productivity tools ecosystem for gTech users. We are leaders of the customer experience, advocating for big-picture visions, feature requests, and offering product improvements backed by data-driven insights. Our work enables gTech teams to deliver delightful support to our customers.

      +

      As the PSO Strategic Program Management team, we provide program management leadership and serve as the linchpin for gTech’s highest value programs, ensuring alignment with the organization’s overarching strategy to deliver outcomes for customers and the business. With expert organization, communication, and stakeholder management, we orchestrate seamless program execution, turning gTech’s goals and strategy into reality, one milestone at a time. We work cross-functionally across gAPT initiatives as well as Professional Services Organization specific programs to deliver impact to the business.

      +

      Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

      To learn more about gTech, check out our video.

      Responsibilities

        -
      • Own and resolve Enterprise customer billing problems through effective diagnosis, analysis and troubleshooting.
        +
      • Develop the program strategy and objectives, assess and communicate impact to business stakeholders.
      • -
      • Act as a consultant and subject matter expert for customers and internal stakeholders in sales, account management, and customer organizations to resolve billing issues.
        +
      • Drive governance and engagement cadence across multiple work streams to ensure clear decision and escalation paths.
      • -
      • Understand customer issues and advocate for their needs with cross-functional teams like Product Management and Software Development.
        +
      • Collaborate with technical and analytics teams to design and build program objectives, priorities, implementation plan.
      • -
      • Develop an in-depth understanding of Google\'s product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, so we can identify and resolve future issues quickly.
        +
      • Align with stakeholders to ensure continuous execution of program milestones, deliverables and success metrics.
      • -
      • Ingest and create data pipelines from upstream systems providing data availability and reporting for stakeholders.
        +
      • Provide regular updates, storyboards and communications to stakeholders and partners for alignment, and to surface risks, action items or key dependencies impacting program delivery quality or timeline.
      @@ -3417,10 +3606,10 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/86691240484971206-technical-solutions-specialist-billing-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:02.877Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102859-technical-solutions-specialist-billing-google-cloud-at-google,,draft,2024-10-21T08:34:02.867Z,import-xml-feed:Google-Job-Feed,,,,,,, -93c217da-452b-45a5-88a4-2349027e5887,347102861,Google,"Account Strategist, Engage, Google Customer Solutions",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.407Z,"
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/106732977374798534-global-strategic-program-manager-gtech-analytics-products-tools?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:03.002Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468861-global-strategic-program-manager-gtech-analytics-products-tools-at-google,,draft,2024-10-24T08:34:02.994Z,import-xml-feed:Google-Job-Feed,,,,,,, +5e8f08f5-4cfa-4db2-8be5-060692bd2939,347468863,Google,"Software Developer III, AI/ML, Google Workspace",on_site,"Toronto, ON, Canada",2024-10-24T08:34:03.338Z,"
      -

      Account Strategist, Engage, Google Customer Solutions

      +

      Software Developer III, AI/ML, Google Workspace

      @@ -3439,21 +3628,21 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o
      -corporate_fareGoogleplaceToronto, ON, Canada
      +corporate_fareGoogleplaceWaterloo, ON, Canada
      -bar_chartEarly +bar_chartMid
      -

      Early

      -
      Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
      +

      Mid

      +
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      -Apply
      +Apply
      @@ -3475,46 +3664,41 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o

      Minimum qualifications:

        -
      • Bachelor\'s degree or equivalent practical experience.
        +
      • Bachelor’s degree or equivalent practical experience.
      • -
      • 2 years of experience in advertising, sales, marketing, consulting, or media.
        +
      • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
      • -
      • Ability to travel 20% of the time as required.
        +
      • 2 years of experience with data structures or algorithms.
        +
      • +
      • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
      • +
      • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

      Preferred qualifications:

        -
      • Experience in launching and managing paid digital advertising campaigns, particularly in Google Ads and other digital marketing platforms.
        -
      • -
      • Experience strategically assessing and achieving client success via sales techniques, including effective questioning, objection handling, and promoting.
        -
      • -
      • Experience working with channel sales, advertisers, agencies, or clients.
        -
      • -
      • Ability to build compelling narratives and utilize storytelling as a client engagement strategy.
        -
      • -
      • Ability to manage and prioritize a portfolio in an advertising or media sales context.
        +
      • Master\'s degree or PhD in Computer Science or related technical fields.
      • -
      • Ability to achieve goals to drive growth.
        +
      • Experience developing accessible technologies.

      About the job

      -

      Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

      -

      Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.

      +

      Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

      +

      The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience -- and changing the way they think about computing.

      Responsibilities

        -
      • Build and manage relationships with clients, and develop an understanding of their business issues, marketing goals, and success metrics.
        +
      • Write product or system development code.
      • -
      • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
        +
      • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
      • -
      • Plan for and achieve growth goals through the presentation of Google advertising products/solutions that will help clients to meet their marketing goals.
        +
      • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
      • -
      • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers.
        +
      • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
      • -
      • Build knowledge of how Google advertising products work and can be used to help meet a wide range of marketing goals.
        +
      • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
      @@ -3525,82 +3709,380 @@ ba334e69-bf27-4726-866d-06d2d1213d03,346634427,CN,"Intern, Mechanical - Field",o

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/120963456714056390-account-strategist-engage-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.418Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347102861-account-strategist-engage-google-customer-solutions-at-google,,draft,2024-10-21T08:34:03.407Z,import-xml-feed:Google-Job-Feed,,,,,,, -f27d072b-61f5-4c50-993b-0500191200a6,347118829,Scotiabank,SOAR: Indigenous Peoples Development Program - June 2025,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:05.046Z,"

      -

      -

      -

      -

      Requisition ID: 208079

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      SOAR: Indigenous Peoples New Graduate Development Program – June 2025

      -

      -

      Graduating Students (24 months) *Remote/Hybrid*

      -

      -

      Start Date: June 2025

      -

      -

      Location: Toronto, Ontario

      -

      -

      Application Deadline: 03/14/2025

      -

      -

      Who Are We?

      -

      -

      SOAR is Scotiabank’s 24-month development program designed exclusively for Indigenous Peoples completing post-secondary education. Our new graduate rotational programs provide the coach-supported opportunities to learn, practice, and apply the skills required to succeed at Scotiabank. We recognize the important contributions and perspectives that Indigenous Peoples provide our society and are committed to removing systematic barriers that have, in the past made it difficult for Indigenous Peoples to obtain meaningful careers in banking.

      -

      -

      This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank. Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.).

      -

      -

      Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

      -

      -
      • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)

      • You have or will complete an apprenticeship, certificate, diploma, undergraduate or graduate degree between April 2023 – June 2025

      • You love to learn and envision yourself working for an international organization that heavily invests in your future.

      • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

      • You’re interested in a career within the financial industry

      • You want to learn about various areas within the bank

      • You’re interested in having an impact with your peers and community

      • You want a culturally safe and supportive environment that helps you thrive to achieve your goals

      • +
      ",,https://www.google.com/about/careers/applications/jobs/results/86442066078245574-software-developer-iii-aiml-google-workspace?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:03.346Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468863-software-developer-iii-ai-ml-google-workspace-at-google,,draft,2024-10-24T08:34:03.338Z,import-xml-feed:Google-Job-Feed,,,,,,, +df3abdee-22e3-4e1c-a0fc-7268c2f3a3ec,347102664,RBC,"Director, Data Management Enablement",on_site,"Toronto, ON, Canada",2024-10-21T08:20:03.429Z,"
      +

      Job Summary

      +

      +

      +

      Job Description

      +

      +

      What is the opportunity?

      +

      +

      Enterprise Data Management Office (EDMO) is the facilitating body for all Data Management Offices for RBC focused on driving consistency and standardization across the DMOs. EDMO will partner with the DMOs to establish an effective DMO Target Operating Model and leading the Data Management and Compliance Council (DMCC) forum for all data management activities across RBC. EDMO also enables and supports the Functional Data Domains across RBC ensuring consistency in the implementation of the Standards of Care.

      +

      +

      The Director, Data Management Enablement will work closely with functions line of business to establish and accelerate data management activities that benefit business opportunities while establishing data domain control points resulting in a data management strategy and execution that unlocks the business value of data in a safe policy adherent manner

      +

      +

      What will you do?

      +
        +
      • Identify and build re-useable acceleration strategies around data management gap and business priorities
      • +
      • Meet FY Policy deliverables to support business priorities and align with Data Policy requirements and adherence
      • +
      • Develop Functions Data Management roadmaps
      • +
      • Document and analyze data management gaps against domain strategy
      • +
      • Build and maintain a comprehensive inventory of Data Management components within the functional lines
      • +
      • Establish data management forums for the functional lines of business and collaborate with CDO teams and external partners
      • +
      +

      +

      +

      What do you need to succeed?

      +

      +

      Must-have

      +
        +
      • Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
      • +
      • Experience in issue remediation and effective escalation and resolution
      • +
      • Experience RBC data management and/or risk management
      • +
      • Exposure to regulatory responses and remediation, including but not limited to OSFI
      • +
      +

      +

      Nice-to-have

      +
        +
      • Experience in RBC’s Agile Program Management Framework is an asset
      • +
      • Works strategically, stretching beyond traditional information management practices, leveraging industry leading and innovative approaches to solving data challenges
      • +
      • Understanding of Functions data is an asset. Functions include areas like Procurement, Human Resources, Corporate Real Estate, Location, Audit, Fraud, Cyber Security and more
      • +
      +

      +

      +

      What’s in it for you?

      +

      We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits
      • +
      • Work on a dynamic topic of strategic importance
      • +
      • Ability to make a difference and lasting impact
      • +
      • Work in an agile, collaborative, progressive, and high-performing team
      • +
      • The opportunity to interface with executives from many different parts of the organization
      • +
      +

      +

      +

      Job Skills

      Big Data Management, Critical Thinking, Data Governance, Knowledge Organization, Logical Data Modeling, Long Term Planning, Repository Tools, Results-Oriented, Risk Management

      +

      +

      +

      Additional Job Details

      +

      Address:

      BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

      City:

      TORONTO

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      STRATEGY AND ADMINISTRATION

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-09-19

      Application Deadline:

      2024-10-31

      +

      +

      +

      +

      +
      +

      Inclusion and Equal Opportunity Employment

      +

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      +
      +

      +

      +

      +

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000099322/Director-Data-Management-Enablement,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-20T08:20:03.445Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102664-director-data-management-enablement-at-rbc,,draft,2024-10-21T08:20:03.429Z,import-xml-feed:RBC-Job-Feed,,,,,,, +08c7ef44-8a0d-4174-88f3-091645ad673b,347468612,RBC,Lead Data Scientist,on_site,"Toronto, ON, Canada",2024-10-24T08:20:03.066Z,"
      +

      Job Summary

      +

      +

      +

      Job Description

      +

      What is the opportunity?

      +

      +

      The Personal Banking & Commercial Banking Data Strategy team is looking for a passionate and innovative Senior Data Scientist within our data asset team. As a Data Scientist you will train, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. You will collaborate with a highly talented team of data engineers, data scientists, data architects, and data analysts to deliver business value to the organization. You will develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.

      +

      +

      What will you do?

      +
        +
      • Design, build, validate, deploy, and analyze advanced models using machine learning, AI, and statistics end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance.

      • +
      • Work with big data, and cloud technologies such as Spark, Hadoop, and AWS environment (SageMaker, S3, Redshift)

      • +
      • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using SQL queries with complex joins, groupings, and aggregations.

      • +
      • Partner with RBC internal partners and lines of businesses (Digital Marketing, Programmatic Media) to help them frame use cases and define success metrics (Key Performance Indicators).

      • +
      • Document and Validate model design and performance to ensure quality and scalability of all models.

      • +
      • Monitor model performance and business success metrics over time.

      • +
      • Be responsible for researching new capabilities and technologies to drive innovation.

      • +
      • Work closely with development teams to learn about needs, current processes and to promote best practices.

      • +
      +

      +

      What do you need to succeed?

      +

      Must Have

      +
        +
      • Master\'s degree in Statistics, Economics, Marketing (Quantitative Workstream) Mathematics, or related quantitative field

      • +
      • 5+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing

      • +
      • Strong foundation in statistics, probability, and machine learning (including deep learning), especially in areas like: Causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, propensity modelling, attrition modelling, attribution, segmentation, CLV, and behavioural analytics.

      • +
      • Professional software development experience with Spark, Hadoop, AWS Cloud (SageMaker, S3, Redshift), GitHub and SQL

      • +
      • Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow/pytorch, etc.)

      • +
      • Able to clearly convey technical concepts and results to both technical and non-technical audiences, including senior leadership.

      • +
      +

      +

      Nice to Have

      +
        +
      • Experience in running A/B testing experiments in production. Experience with relational databases. Domain specific knowledge of marketing campaigns.

      • +
      • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred.

      • +
      • Publications in machine learning and artificial intelligence.

      • +
      • Passion for ethical AI and experience in algorithm transparency and interpretability.

      • +
      +

      +

      What’s in it for you?

      +

      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

      • +
      • Leaders who support your development through coaching and managing opportunities

      • +
      • Ability to make a difference and lasting impact.

      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team.

      • +
      • A world-class training program in financial services

      • +
      • Flexible work/life balance options

      • +
      • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.

      • +
      • Access to a variety of job opportunities across business and geographies.

      • +
      +

      +

      #LI-Hybrid

      +

      #LI-Post

      +

      #LI-PK

      +

      +

      +

      Job Skills

      Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

      +

      +

      +

      Additional Job Details

      +

      Address:

      RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

      City:

      TORONTO

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      PERSONAL & COMMERCIAL BANKING

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-10-09

      Application Deadline:

      2024-10-31

      +

      +

      +

      +

      +
      +

      Inclusion and Equal Opportunity Employment

      +

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      +
      +

      +

      +

      +

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000102303/Lead-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-23T08:20:03.080Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468612-lead-data-scientist-at-rbc,,draft,2024-10-24T08:20:03.066Z,import-xml-feed:RBC-Job-Feed,,,,,,, +5b230ce6-2a4a-478b-b2e2-42382766db8b,347468613,RBC,Senior Data Engineer,on_site,"Toronto, ON, Canada",2024-10-24T08:20:03.201Z,"
      +

      Job Summary

      +

      +

      +

      Job Description

      +

      What is the opportunity?

      +


      The RBC Borealis Data Solutions team will build data-driven products and services/API’s, tackle challenging and interesting data-related problems using RBC\'s massive internal datasets and strategically partner with the business to enable client interactions to be informed by Artificial Intelligence (AI).

      The RBC Borealis Incubator team is part of the RBC Borealis Data Solutions. The focus of the Incubator is to create a structured foundation for identifying and experimenting with novel concepts. Data Engineers in the team play an important role to research, explore and implement cutting-edge technologies to deliver immediate business values to our business partners.

      +

      +

      What will you do?

      +
        +
      • Take full ownership of work outcomes including research, design and implementation of solutions utilizing our domain driven Machine Learning and AI services.
      • +
      • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives.
      • +
      • Leverage best practices in continuous integration and delivery, with a strong commitment to leading with quality.
      • +
      • Explore new capabilities and technologies to drive innovation.
      • +
      • Write and publish innovative approaches in technical white papers, research papers or patents.
      • +
      • Participate in code reviews for the engineers on your team, ensuring our delivery of clean, well-tested, and performant software.
      • +
      +

      +

      What do you need to succeed?

      +

      Must Have

      +
        +
      • Bachelor’s degree in computer science, statistics, mathematics, or equivalent.
      • +
      • Experience in developing scalable, configurable applications using Python, Transformers and SQL.
      • +
      • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others.
      • +
      • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues.
      • +
      +

      +

      Nice to Have

      +
        +
      • Master’s degree in computer science, statistics, or mathematics.
      • +
      • Experience in applying Machine Learning / Generative AI to solve real business use cases.
      • +
      • Knowledge of public cloud environments (Azure & AWS).
      • +
      +

      +

      What’s in it for you?

      +

      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
      • +
      • Leaders who support your development through coaching and managing opportunities
      • +
      • Ability to make a difference and lasting impact
      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team
      • +
      • Opportunities to do challenging work
      • +
      • Opportunities to building close relationships with clients
      • +
      +

      +

      #LI-Post

      +

      #LI-Hybrid

      +

      #LI-PK

      +

      +

      +

      Job Skills

      Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

      +

      +

      +

      Additional Job Details

      +

      Address:

      RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

      City:

      TORONTO

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      TECHNOLOGY AND OPERATIONS

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-10-22

      Application Deadline:

      2024-11-15

      +

      +

      +

      +

      +
      +

      Inclusion and Equal Opportunity Employment

      +

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      +
      +

      +

      +

      +

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000102938/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-23T08:20:03.208Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468613-senior-data-engineer-at-rbc,,draft,2024-10-24T08:20:03.201Z,import-xml-feed:RBC-Job-Feed,,,,,,, +64b2a510-133f-4e55-adf3-e91ea29041eb,347469005,Accenture,Data Engineering Specialist,on_site,"Toronto, ON, Canada",2024-10-24T08:44:01.975Z,"
      +

      Job Description

      +
      +

      We are:
      The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions

      +

      +

      Stronger together!
      The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

      +

      +

      The value for our clients and our people
      For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
      For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

      +

      WORK YOU’LL DO

      Analyze large and complex datasets to extract actionable insights and identify trends.

      +
        +
      • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
      • +
      • Design experiments and interpret results to test hypotheses and validate models.
      • +
      • Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
      • +
      • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
      • +
      • Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
      • +
      • Design and implement data models using programming languages, such as SQL, NoSQL, Python, Scala
      • +
      • Monitor data systems performance and implement optimization strategies. Test, debug, analyze and fixe application problems/issues while working in close collaboration with stakeholders.
      • +
      • Work with the project manager, architects, and other team members to define metrics and performance goals for the application.
      • +
      • Participate in transitioning the requirements and use cases to ensure a clear and complete understanding of the requirements.
      • +
      • Assist in translating requirements and use cases into test conditions and expected results for product, performance, and user acceptance testing.
      • +
      • Participate in quality management reviews, in particular reviews of the designs, and requirements work products to ensure they fulfill the requirements
      • +
      show more show less
      +
      +
      +

      Qualifications

      +
      +
        +
      • Minimum 5+ years of experience with Azure, Databricks, SQL, Pyspark, ADF and Python.
      • +
      • Experience in managing design, implementing, and managing cloud-based systems for businesses and debugging.
      • +
      • Experience in managing the entire software development life cycle, including planning, designing, testing, and deploying applications
      • +
      • Bachelor\'s degree or equivalent experience
      • +
      +
      +
      +

      +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

      +
      +

      Our Commitment to Inclusion & Diversity

      +

      At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

      +

      Requesting An Accommodation

      +

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      +

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      +

      Other Employment Statements

      +

      It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

      +

      Job candidates are not required to disclose any offence for which a pardon has been granted.

      +
      +
      +
      Share
      +
      Share
      +
      Job Link:
      Copy
      +
      +
      +
      +
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00243183_en&title=Data%20Engineering%20Specialist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-23T08:44:01.990Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469005-data-engineering-specialist-at-accenture,,draft,2024-10-24T08:44:01.975Z,import-xml-feed:Accenture-Job-Feed,,,,,,, +995a779f-cc0b-43fa-8305-742e3ba0b69a,343662387,NVIDIA,Senior ASIC Verification Engineer - GPU,on_site,"Ontario, Canada",2024-09-26T08:58:01.544Z,"
      +Senior ASIC Verification Engineer - GPU page is loaded
      +
      +

      Senior ASIC Verification Engineer - GPU

      + +
      +
      +
      +
      +
      locationsCanada, Toronto
      +
      +
      +
      time typeFull time
      +
      +
      posted onPosted 14 Days Ago
      +
      +
      job requisition idJR1975183
      +
      +
      +
      +

      NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC\'s and GPU\'s. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

      +
      +

      +

      In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.

      +

      +

      What you\'ll be doing:

      +
        +
      • As a key member of our ASIC Verification team, you will verify the design and implementation of the industry\'s leading GPUs

      • +
      • You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM

      • +
      • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design

      • +
      • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

      • +
      +

      +

      What we need to see:

      +
        +
      • Bachelors Degree in EE, CS or CE or equivalent experience

      • +
      • 5+ years of relevant experience

      • +
      • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies

      • +
      • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)

      • +
      • Expertise in System Verilog or similar HVL

      • +
      • You display strong debugging and analytical skills

      • +
      • Perl and C/C++ programming language experience desirable

      • +
      • Prior experience with arbiters, interconnect networks and/or caches is desirable

      • +
      • Strong communication skills and ability & desire to work as a great teammate are huge plus

      • +
      • Experience in crafting test bench environments for unit and system level verification

      -

      -

      What’s in it for you?

      -

      -
      • You’ll be part of a diverse, collaborative, innovative, and inclusive team.

      • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.

      • A dedicated Program Manager to support with your learning, goals, and development.

      • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.

      • Individualized development plans, mentorship, and exclusive access to leaders.

      • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.

      • Opportunities to participate in cultural programming and Indigenous professional development series.

      • Networking opportunities with Scotiabank’s Indigenous Associates.

      • Health and wellbeing workshops focusing on Indigenous knowing and being

      • +

        +

        NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.

        +
      +

      +

      The base salary range is 97,500 CAD - 214,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
      +

      You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

      +

      +
      +

      +

      +
      +
      +
      +
      +
      ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-ASIC-Verification-Engineer---GPU_JR1975183?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-10-26T08:58:01.544Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662387-senior-asic-verification-engineer-gpu-at-nvidia,,draft,2024-09-26T08:58:01.544Z,import-xml-feed:Selenium-Scraper,,,,,,, +ab7eb66c-073f-4773-9e0b-e8cdc95a1c10,347469161,Roche,Risk Based Quality Management (RBQM) Surveillance Lead,on_site,"Ontario, Canada",2024-10-24T08:58:01.832Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      +

      +

      +

      The Position

      +

      A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

      +

      +

      The RBQM Surveillance Lead plays a meaningful role in developing and operationalizing an integrated Quality Risk Management Plan (iQRMP) and associated risk mitigation and control strategies, conducting systematic data surveillance, providing processes for oversight of the overall risk and issue management processes and fostering a culture of continuous improvement within the study teams. The ideal candidate will bring a blend of capabilities, including ability to drive data driven analysis, strong collaboration across cross teams and a comprehensive approach to documentation and reporting to ensure study teams are following RBQM processes and associated regulatory requirements.

      +

      +

      The Opportunity

      +
        +
      • Operationalize the integrated Quality Risk Management Plan (iQRMP) to ensure effective implementation.

      • +
      • Drive the development and maintenance of technology solutions necessary for RBQM implementation within Roche, including in-house systems and potential external technologies.

      • +
      • Collaborate closely with RBQM Strategic Leads to ensure cross-functional alignment and coordinated strategy for critical-to-quality (CtQ) factors, risk control strategies, and risk mitigation activities.

      • +
      • Conduct data surveillance and issue management by defining consistent risk control strategies and acceptable risk limits in collaboration with study teams and Strategic Leads.

      • +
      • Lead centralized systematic data surveillance across studies, document surveillance activities, and assess control measure outputs for necessary mitigating actions.

      • +
      • Analyze data for meaningful trends, trigger mitigating actions, and identify potential issues for knowledge sharing across studies.

      • +
      • Support continuous improvement efforts by standardizing the knowledge management lifecycle, developing risk libraries, driving disease area level risk and monitoring strategy, and sharing relevant insights with RBQM Strategic Leads for alignment.

      -

      -

      How do I apply?

      -

      -

      For students, we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this sounds too good to be true, but for students applying to one of our co-ops, internships or TILT new grad programs we are no longer requiring resumes. Instead, we ask that as part of your application, you complete all three below:

      -

      -
      1. Complete your PLUM Profile here -
      2. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your plum to show us you’ve completed it, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it. Alternatively, you can submit a resume if you want, we just will not be relying on it when we assess you.
      3. -
      -

      -

      *To be considered, you must complete all steps above.

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:05.053Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118829-soar-indigenous-peoples-development-program-june-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,draft,2024-10-21T16:31:05.046Z,import-xml-feed:Scotiabank,,,,,,, -312af3d1-2721-425e-9335-2b7579237bfb,345788099,KPMG,SOC Analyst - L2,on_site,"Toronto, Canada",2024-10-10T16:35:02.805Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Cyber Managed Services team in Toronto is looking for a professional like you with the skills and drive to make a real difference.


      What you will do

        -
      • -Receive escalation from L1 SOC analyst to determine increased risk to the business -
      • -
      • Review log data against security technology rules and filters to propose further improvements to threat detection
      • -
      • -Coordinate with SIEM Engineers to tune events, improve event correlation, performance, and alerts -
      • -
      • Develop, create and maintain incident response playbooks. This includes identifying areas of potential improvement by reviewing redundant tasks, security incidents and providing task automation suggestions
      • -
      • Perform log analysis from multiple data sources to analyze technical data, extracting Tactics, Techniques, Procedures (TTP) and malware attributes
      • -
      • Provide support in the analysis of critical events and security tickets to evaluate the effectiveness and efficiency of the incident management process and develop any necessary improvement plans.
      • -
      • Maintain up-to-date understanding of security threats, countermeasures, security tools and Cloud Security and SaaS technologies.
      • -
      • Experience tracking incidents against a framework such as SANS and MITRE ATT&CK.
      • -
      • Provide technical and thought leadership within SOC by teaching other SOC Analysts about both traditional and unconventional ways to detect, analyze, and mitigate security incidents.
      • -
      • Act as Subject Matter Expert (SME) trainer for analyst functions, providing support on more involved cases and guiding the activity of other T1/T2 analysts through collaboration.
      • -
      • Act as the lead coordinator for the Incident Response function and as designated lead on customer on-boarding projects to ensure a successful transition to SOC for security monitoring services.
      • -

      What you bring to the role

        -
      • Highly technical with at least 3 to 5 years of relevant experience as an analyst in Cyber, IT Security or a SOC
      • -
      • Any industry relevant(s) certifications such as CISSP, CISM, SANS, CISA, CompTIA Security+ or CompTIA CySA+, GIAC is required.
      • -
      • -Hands-on experience with Microsoft Sentinel or other SIEM and SOAR technologies, creating and running queries, and performing analytics examination of logs and console events. -
      • -
      • Hands-on experience with Microsoft Defender Endpoint, CSPM/CWP or any similar vendor technologies, ability to understand vulnerabilities with insights from industry-leading security research and provide recommendation to external clients
      • -
      • Experience with Malware Analysis and reverse engineering through static or dynamic analysis.
      • -
      • Experience and demonstrated success in business development activities, including research and analysis, processes development/improvement, proposal writing etc.
      • -
      • Experience evaluating the design and operating effectiveness of various control frameworks and standards, including understanding process level risks, technology risks, assessing the adequacy of mitigating controls and providing opportunities for enhancement
      • -
      • Experience in enterprise asset lifecycle management, with a strong understanding of relating security operations such as patch management, vulnerability management, security architecture, and endpoint management
      • -
      • Experience and/or strong understanding of cloud transformation, cloud architecture, and cloud security operations.
      • -
      • Experience leading and/or managing complex projects
      • -
      • Effectively communicate and present strategies, solutions, insights, and reports to a mix of stakeholders at various levels
      • -
      • Experience in a leadership role, providing engaged mentorship and knowledge sharing to the team and junior/intermediate level analysts
      • -

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-09T16:35:02.815Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788099-soc-analyst-l2-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,draft,2024-10-10T16:35:02.805Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +

      +

      Who You Are

      +
        +
      • You have completed a bachelor\'s degree and bring over 5 years of experience in RBQM / RBM processes, including awareness of industry strategy and direction, knowledge and understanding of ICH E8 and ICH E6 requirements.

      • +
      • You are proficient in data analysis tools (R, Python, JMP) for manipulating, analyzing large datasets, creating visualizations, and applying statistical methods (hypothesis testing, regression analysis, data modeling) to analyze clinical trial data

      • +
      • Strong systems awareness including good knowledge of data pipelines, models and systems along with strong cross-functional inputs and dependencies contributing to end to end RBQM delivery.

      • +
      • Proven critical thinking and problem-solving skills, with a strong attention to detail to ensure data accuracy and the ability to effectively address complex issues in the RBQM role.

      • +
      • Strong communication, relationship management, and influencing skills, with the ability to facilitate decision-making and effectively communicate to support the RBQM strategy.

      • +
      +

      +

      Relocation benefits are not available for this job posting.

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202407-118489/Risk-Based-Quality-Management-RBQM-Surveillance-Lead,feed-importer@jobboard.io,,,,2024-11-23T08:58:01.833Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469161-risk-based-quality-management-rbqm-surveillance-lead-at-roche,,draft,2024-10-24T08:58:01.832Z,import-xml-feed:Selenium-Scraper,,,,,,, 6a47cf31-88f0-4229-b8c3-3b9f60d7de0e,343703193,Scotiabank,"Manager, Procurement Insights and Analytics",on_site,Canada : Ontario : Toronto,2024-09-26T16:30:02.344Z,"

      @@ -4227,7 +4709,7 @@ c69c20eb-49e2-444c-a842-c338b7f6d059,343661457,Google,Video Enablement Lead,on_s

      As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

      From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

      -
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst--Investment-Finance_JR-6473-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-26T08:58:03.137Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662405-analyst-investment-finance-at-omers,,draft,2024-09-26T08:58:03.137Z,import-xml-feed:Selenium-Scraper,,,,,,, +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst--Investment-Finance_JR-6473-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662405-analyst-investment-finance-at-omers,,draft,2024-09-26T08:58:03.137Z,import-xml-feed:Selenium-Scraper,,,,,,, 69496c65-6be1-4d26-b397-442cc45402cb,343662408,OMERS,"Director, Finance Data",on_site,"Ontario, Canada",2024-09-26T08:58:03.270Z,"

      Referred applicants should NOT apply directly to this role.

      All referred applicants must first be submitted through Workday by a current OMERS and Oxford employee, and then must apply through the unique link received via their email.

      @@ -4640,133 +5122,6 @@ a36fef27-f1aa-4f53-a9c0-3e9da92c4c1c,343713805,Magna International,"Health, Safe

      We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=333c3722-8877-4933-bcca-20dfa027b9c3,feed-importer@jobboard.io,,,,2024-10-26T16:41:02.434Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343713786-information-security-analyst-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=333c3722-8877-4933-bcca-20dfa027b9c3,draft,2024-09-26T16:41:02.434Z,import-xml-feed:Scrapy-Scraper,,,,,,, -bb28350f-d0f6-46ec-90f4-db33ee2af1a7,343703204,Scotiabank,"Manager, MIS - Canadian Banking Finance",on_site,Canada : Ontario : Toronto,2024-09-26T16:30:02.868Z,"

      -

      -

      -

      -

      Requisition ID: 207649

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Canadian Banking Finance (CBF) is a divisional finance function providing financial management and analytical support to Canadian Banking Executive Management, as well as to the Business Line management in Retail, Automotive Lending, Small Business and Commercial Banking. The MIS team is responsible for development and support of applications and tools primarily for Canadian Banking in the areas of business analysis, reporting and performance measurement. The team also plays a key role in areas such as Customer Profitability and Regional P&L and Monthly Branch Report (MBR).

      -
      -

      -

      Is this role right for you? In this role, you will:

      -
      • Responsible for designated business processes, system tools, and analyses to ensure that the Canadian Banking Finance meets its current and ongoing business requirements
      • Plan, organize and execute the Canadian Banking Finance MIS projects in accordance with departmental priorities. The incumbent is required to review and refine user requirements and develop effective solutions from existing financial and product systems. The role requires the effective use of programming resources, post-completion reviews, and the identification of problems/issues/opportunities where automation can improve on the provision of data for analytical support, planning, forecasting, expense, and performance measurement.
      • Contribute to successful team performance in accordance with the Department’s mandate. Provide support to other team members and contribute to shared accountability for team objectives. Participate in cross-functional projects.
      • Manage other projects as assigned related to core Canadian Banking Finance responsibilities.
      • Managing ETL data operations from end to end, satisfying monthly processing and reporting deadlines with high accuracy. This includes quality assurance and data validation.
      • Leading development and maintenance efforts of performance reports and various other core departmental applications to support Canadian Banking’s’s business growth and strategic projects.
      • Partnering with stakeholders to lead analytical and investigative tasks.
      • Proactively looking for ways to improve and enhance our processing efficiency and accuracy. Adding value to our deliverables for both current and prospective consumers of our outputs.
      • Lead other team members and provide guidance. In addition, the incumbent must possess excellent communication skills and will be interacting with various business lines. It is essential that the incumbent is a proactive and a fast learner.
      • -
      -

      -

      Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

      -
      • Ability to work effectively and diplomatically in a team environment with peers and superiors across organizational lines; also requiring excellent written and strong verbal communication skills.
      • A solid understanding of the Bank’s Retail/Small Business/Commercial products and the processes associated with the analysis of related business growth and revenue streams.
      • A good understanding of the elements of effective control over accuracy and completeness of MIS data and user acceptance testing.
      • Highly organized with demonstrated experience in solving problems and making decisions. This involves ability to work effectively and efficiently under pressure; ability to juggle multiple priorities.
      • -Experience and expertise with managing data operations from front to back using medium-large n-dimensional datasets:
        • Data lifecycle (ETL): MSSQL SMS / SSIS, Shell Scripting, SFTP
        • Data warehousing (EDL/EDW): Hadoop / Hive / DBeaver
        • Data Modeling and reporting: Power BI, MS Access / Excel, OBIEE, SharePoint
        • All aspects of project management and the project lifecycle including: requirement gathering, deep dive analysis, equivalence testing, UAT/QAT testing, change control, production implementation and BCP.
      • 5-10 Years Experience with SAS, mainframe programming, Bash/Korn shell scripting on Unix / Solaris
      • 5-10 Years Experience with Relational database technology: MSSQL / Hadoop / Oracle
      • 5-10Years Experience with .NET languages (ASP / VB / C#), IIS and deploying web sites, SharePoint
      • Python or any other open-source programming languages is a bonus.
      • Willing and able to learn new technologies.
      • -
      -

      -

      What’s in it for you?

      -
      • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
      • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
      • Your career matters! You will have access to career development and progression opportunities.
      • -
      -

      -

      #scotiafinancejobs

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-MIS-Canadian-Banking-Finance-ON-M5H1H1/584870517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343703204-manager-mis-canadian-banking-finance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-MIS-Canadian-Banking-Finance-ON-M5H1H1/584870517/,draft,2024-09-26T16:30:02.868Z,import-xml-feed:Scotiabank,,,,,,, -62c6e0cb-50a8-4aaa-9610-11ce2b436cbd,344287955,Scotiabank,"Senior Manager, RESL Portfolio Oversight",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.849Z,"

      -

      -

      -

      -

      Requisition ID: 207931

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      As the Senior Manager, Portfolio Oversight, you will contribute to the profitability of the Retail Bank by ensuring Real Estate Secured Lending (RESL) exposures are aligned with the Risk Appetite Framework optimizing risk/return over the long term, as well as identifying opportunities to enhance credit quality, increase sales and improve processing efficiencies. You will be a subject matter expert on RESL portfolio data, ensuring all relevant compliance and regulations are adhered to.

      -


      Is this role right for you? In this role, you will:

      -

      -
      • Fulfil regulatory internal and external audit action plans for the RESL portfolio within a suitable timeframe, ensuring there are durable and effective solutions

      • Review and update account management strategies and policies to ensure the Bank's risk stays within acceptable limits, including a proactive assessment to keep it within Risk Appetite

      • Ensure the data utilized for the RESL portfolio analysis and regulatory reporting is precise and clearly comprehended

      • Be familiar with reporting definitions between data sources to be best positioned to understand reporting variability, addressing data anomalies and creating resolutions to correct where necessary

      • Lead account management strategy pertaining to combined loan plans (CLPs) for activities such as credit limit increase/decrease, restructures, re-advanceable limit decrease and authorizations, using analytics, empirical decision models, and competitive analysis

      • Create and track key performance indicators for CLP account management to ensure compliance with policies and to pinpoint areas of risk within various channels and client segments, along with developing sustainable reporting for portfolio exceptions

      • Collaborate with key stakeholders in first and second line of defense to ensure regulatory reporting and submissions are accurate and complete

      • Support investigations and solutioning needed for issues identified by Quality Assurance, Mortgage Account Governance (MAG), Prefund Review and/or Internal Audit items in an appropriate timeframe

      • Oversee, enhance and execute appraisal management reporting to record property valuation types, appraisal expenses and automated model usage

      • Maintain in-depth knowledge of risk related federal and provincial legislation requirements, including changes in, and emerging issues related to, the Bank's regulatory environment and the potential impacts on RESL

      • Stay informed on the competitive landscape to ensure that our processes, strategies and policies consider the changing landscape

      • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

      • -
      -

      -

      Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

      -

      -
      • Post-secondary education with STEM and/or business focus preferred

      • Technical expertise with technologies surrounding underwriting and account management of RESL credit

      • A deep understanding of the Canadian residential mortgage space, macro-economic conditions and regulatory environment

      • Strong analytical and project management skills

      • In-depth knowledge of business-related computer software, specifically Data Warehouse/EDL methodology, BI Frameworks (SAS, Power BI, R, Tableau, Cognos etc.), SQL/Stored procedures and Data Mining

      • Solid communication, interpersonal and negotiating skills to interact with internal and external partners

      • Strong focus on accuracy, timeliness, thoroughness and attention to detail

      • A high degree of self-assurance, initiative and business sense to perform responsibilities independently within established parameters

      • Comfortability working in a hybrid work environment, with the expectation to come in-office weekly

      • -
      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Oversight-ON-M5H1B6/585016617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287955-senior-manager-resl-portfolio-oversight-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Oversight-ON-M5H1B6/585016617/,draft,2024-09-30T16:30:03.849Z,import-xml-feed:Scotiabank,,,,,,, -6a5772ed-68ea-497a-8c2f-9629c7b83187,344287957,Scotiabank,Splunk Developer,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:04.165Z,"

      -

      -

      -

      -

      Requisition ID: 207641

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      We are seeking an energetic, self-starter willing to take on a challenge! This position will deliver against current and new initiatives to support our Corporate Security global mandate by ensuring that specific goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives through technology solutions. Ensures all activities conducted are in compliance with governing regulations, internal policies, and procedures.
      The incumbent is responsible, through independent contribution, collaboration with the Corporate Security Business team and the management/supervision of Senior Manager, on the design, development, integration, and implementation of Enhanced Employee Monitoring initiative across the Enterprise level. The individual must thrive on challenge, be proactive and dynamic, and demonstrate initiative and eagerness to learn.

      -

      -

      Some of the key accountabilities include:
      • Provide day to day support for Splunk environment and full system life cycle. Working experience in creating dashboards, SPL scripts, building Splunk regex expressions for data ingestion, production issues investigations and resolutions. This includes L2 production support investigations and resolutions.
      • Analyze highly complex business requirements; generate technical specifications to design or redesign complex software components and applications.
      • Act as a technical resource expert for modeling, simulation, and analysis efforts.
      • Leverage industry best practices to design, test, implement and support a solution.
      • Assure quality security and compliance requirements are met for supported area.
      • Act as the Splunk subject matter experts in providing technical leadership in the design, development and support of the Bank’s enterprise insider threat program, major digital fraud and financial crimes investigations mandate, and other intelligence big data analytics industry initiatives.
      • Experience with/or ability to explore a variety of machine learning, statistical analytics, and data mining techniques with the objective of improving Corporate Security’s investigative capabilities using Technology to support the Bank’s employee monitoring and digital fraud investigation needs.
      • Maintain the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new Splunk
      data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.
      • Builds and maintains solid, professional working relationships with peers within the project management, development, and business lines.

      -

      -

      What You Will Bring to Succeed
      • Must Have
      o Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
      o Training and/or certifications in Splunk Enterprise for at least version 8.x, 9.x.
      o Proof of certifications in Splunk core certified advance power user and or Splunk core certified power user
      o Working knowledge in Splunk (installing, configuring, troubleshooting after different Splunk components, setting up the encryption and building clusters) – 3+ years of hands-on experience.
      o Certified Splunk Engineer
      o Solid understanding of SQL script for querying relational databases (e.g., SQL Server, DB2, MySQL) and XML code.
      o Proficiency in Python version 2 and 3, SPL language, Xml, html, CSS Code, Excel.
      o Proficiency in Linux – 5+ years of hands-on experience
      o Proficiency in Java (coding and application) – 5+ years of hands-on experience
      o Proficiency in Cloud – GCP or Azure (proof of concept) – 3+ years of hands-on experience
      o Understanding and experience in Agile development methodologies
      o Strong verbal, written, presentation & communication skills.
      o Creative, out-of-the-box thinker with strong analytical and problem-solving skills
      o Knowledge of project management, and software development process would be an asset.
      o Experienced with working in both a technical and business context and able to translate technical concepts into easy-to-understand business language.
      o Experience with 3rd party vendor products and various systems integration concepts/usage a such as Rest APIs, batch jobs or data extractions is an asset.
      o Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization.
      o Highly flexible and able to adapt quickly to changing priorities.
      o Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset.
      • Nice to have
      o FI/Banking experience (North American Bank)
      o Previous experience in Corporate Security, Insider Threat Fraud

      -

      -

      -

      What’s in it for you ?

      -
      • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
      • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
      • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
      • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
      • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
      • -
      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Splunk-Developer-ON-M3C0N5/585016917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287957-splunk-developer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Splunk-Developer-ON-M3C0N5/585016917/,draft,2024-09-30T16:30:04.165Z,import-xml-feed:Scotiabank,,,,,,, -48b7a20c-9d9b-4e51-b198-fd80f83d44c8,344287959,Scotiabank,"Activate, Strategic Functions New Graduate Program - Human Resources, Spring 2025",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:04.622Z,"

      -

      -

      -

      -

      Requisition ID: 207978

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Start Date: June 2025

      -

      Location: Toronto, Ontario

      -

      Application Deadline: 10/11/2024

      -

      Who Are We?

      -

      The Activate New Graduate Development Program is designed to kick-start your career at Scotiabank in your specific stream of Strategic Functions – when you apply, please be sure to apply to the Activate stream in which you want to specialize. Our Strategic Functions groups are the backbone of the Bank, with focus areas including Marketing, Human Resources, Compliance, Global Treasury, Risk Management, Audit, Finance, and our CPA Pre-Approved program. Each rotation in the Activate program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. You’ll also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

      -

      -

      Is this program right for you? In this program, you will:

      -

      You’ll join our Activate Development program as a full-time permanent employee and will spend 18-30 months rotating to pre-determined areas that will challenge you and provide you with opportunities to learn and grow into a Strategic Functions professional. Our goal at the end of the program is to land you into a permanent role in your area of focus – after 4-6 rotations, you’ll be setup to hit the ground running! These rotations are key to your development and aim to ensure you receive a wide breadth of experience in a short period of time. It also provides you with the opportunity to discover your passions and learn more about your areas of interest; you’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.

      -

      Each stream of the Activate Program has a dedicated recruiting process; this posting is for Human Resources. If you’re interested in one of the other streams of the Activate program, please search for the appropriate posting on our Scotiabank Careers page.

      -

      -

      Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

      -
      • This program is for students who have just graduated from a college diploma, undergraduate degree, or graduate degree who are looking to secure that job now to begin upon graduation before June 2024
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
      • Bring a strong curiosity and solutions-focused mindset to their work
      • Manage internal and external relationships exceptionally well and are focused on doing the right thing
      • Challenge yourself and the team members around them to find the best solutions possible
      • Contribute to team outcomes, and show ownership over their work and deliver.
      • -
      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and inclusive team.
      • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.
      • A dedicated Program Manager to support with your learning, goals, and development.
      • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.
      • Individualized development plans, mentorship, and excusive access to leaders.
      • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.
      • You will have the opportunity to work in different areas of HR including Talent Acquisition, HR Projects and Change Management, Talent Management, Total Rewards, and more!
      • -
      -

      -

      How do I apply?

      -

      For students applying to one of our TILT New Graduate programs we do not require resumes! Instead, we ask that as part of your application, you complete the below:

      -
      1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your past PLUM results. Link: https://bit.ly/3zKWt37 -
      2. Complete a short one-way video interview here: https://ca.rivs.com/92-60-57/ -
      3. -
      -

      *To be considered, you must complete all steps above.

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Activate%2C-Strategic-Functions-New-Graduate-Program-Human-Resources%2C-Spring-2025-ON/584974617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287959-activate-strategic-functions-new-graduate-program-human-resources-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Activate%2C-Strategic-Functions-New-Graduate-Program-Human-Resources%2C-Spring-2025-ON/584974617/,draft,2024-09-30T16:30:04.622Z,import-xml-feed:Scotiabank,,,,,,, -2c1326df-6868-491e-ad26-d328d8d02c1d,344287962,Scotiabank,SOAR: Indigenous Peoples Development Program - Summer 2025,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:04.985Z,"

      -

      -

      -

      -

      Requisition ID: 208079

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      SOAR: Indigenous Peoples New Graduate Development Program – Summer 2025

      -

      Graduating Students (24 months) *Remote/Hybrid*

      -

      Start Date: June 2025

      -

      Location: Toronto, Ontario

      -

      Application Deadline: 03/14/2025

      -

      -

      Who Are We?

      -

      SOAR is Scotiabank’s 24-month development program designed exclusively for Indigenous Peoples completing post-secondary education. Our new graduate rotational programs provide the coach-supported opportunities to learn, practice, and apply the skills required to succeed at Scotiabank. We recognize the important contributions and perspectives that Indigenous Peoples provide our society and are committed to removing systematic barriers that have, in the past made it difficult for Indigenous Peoples to obtain meaningful careers in banking.

      -

      This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank. Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.).

      -

      -

      Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

      -
      • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)

      • You have or will complete an apprenticeship, certificate, diploma, undergraduate or graduate degree between April 2023 – June 2025

      • You love to learn and envision yourself working for an international organization that heavily invests in your future.

      • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

      • You’re interested in a career within the financial industry

      • You want to learn about various areas within the bank

      • You’re interested in having an impact with your peers and community

      • You want a culturally safe and supportive environment that helps you thrive to achieve your goals

      • -
      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and inclusive team.

      • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.

      • A dedicated Program Manager to support with your learning, goals, and development.

      • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.

      • Individualized development plans, mentorship, and exclusive access to leaders.

      • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.

      • Opportunities to participate in cultural programming and Indigenous professional development series.

      • Networking opportunities with Scotiabank’s Indigenous Associates.

      • Health and wellbeing workshops focusing on Indigenous knowing and being

      • -
      -

      -

      How do I apply?

      -

      For students, we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this sounds too good to be true, but for students applying to one of our co-ops, internships or TILT new grad programs we are no longer requiring resumes. Instead, we ask that as part of your application, you complete all three below:

      -
      1. Complete your PLUM Profile here -
      2. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your plum to show us you’ve completed it, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it. Alternatively, you can submit a resume if you want, we just will not be relying on it when we assess you.
      3. -
      -

      -

      *To be considered, you must complete all steps above.

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-Summer-2025-ON/585010217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-03T16:36:07.613Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344287962-soar-indigenous-peoples-development-program-summer-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-Summer-2025-ON/585010217/,draft,2024-09-30T16:30:04.985Z,import-xml-feed:Scotiabank,,,,,,, 357832c1-bbca-48ae-bebd-08411318d17f,344241094,RBC,Data Analyst,on_site,"Toronto, ON, Canada",2024-09-30T08:20:03.036Z,"

      Job Summary

      @@ -4836,80 +5191,55 @@ bb28350f-d0f6-46ec-90f4-db33ee2af1a7,343703204,Scotiabank,"Manager, MIS - Canadi

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      ",,https://jobs.rbc.com/ca/en/job/R-0000100249/Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-07T08:25:04.490Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/344241094-data-analyst-at-rbc,,draft,2024-09-30T08:20:03.036Z,import-xml-feed:RBC-Job-Feed,,,,,,, -015b2ccf-548c-4059-8045-430bae84b646,344695658,BELL CANADA,Senior Devops Engineer,on_site,"Montreal, Quebec, Canada",2024-10-02T21:25:02.166Z,"

       

      As the largest high-tech team in Canada, Network and Technology Services builds cutting edge fibre and 5G networks that drive how Canadians connect with each other and the world! Our team is at the forefront of developing Bell’s leading products and services: Fibe TV and Internet, Wireless, Smart Home, cloud, security and IoT. We enable the delivery of the best content from Crave, TSN/RDS, iHeart Radio and dozens of other leading media properties to our customers any time, on any device. 

       

      -
      -
      -

      About the Team

      -
      -
      -

      The Bell Network and Technology Services NTS team is on a journey to transform how Bell delivers the best customer experience with seamless access to a software-driven and cloud-based ecosystem of products, services and content. This transformation is about simplifying, virtualizing and automating the network transport and services to lower costs and increase agility to deploy Bell services.

      -


      The DOQ team is responsible for providing shared capabilities to the different NTS Delivery teams within Bell Canada including the following:
      •    DevSecOps Enablement leveraging Bell’s shared platforming to enable the 5’Cs of DevOps 

      -

      o    Continuous Exploration
      o    Continuous Integration
      o    Continuous Deployment
      o    Continuous Testing
      o    Continuous Monitoring

      -

      •    Tooling offering (Gitlab, Jfrog Artifactory, Ansible, SonarQube…)
      •    Secure SDLC Enablement 
      •    Agile Practice Enablement leveraging the Bell Agile Framework (based on SAFe)

      -
      -
      -
      -
      -

      Role Description

      -
      -
      -

      As Senior DevOps Engineer / SRE you will play a leading role as prime for one of the platforms our team is managing (Unified Git Lab, Ansible Tower, Artifactorty…). you will work collaboratively with the other senior team members, product owners, user community and other stakeholders to identify requirements, develop, operationalize, and support platforms and new capabilities to make the developer life easier.

      -

      You need to have a strong experience in DevOps, CI/CD, installing and supporting applications and tools within the SDLC lifecycle, and be able to thoroughly troubleshoot issues with little to no support.

      -

      Technologies and concepts needed to be familiar with:

      -
        -
      • Continuous Integrations and Delivery (Gitlab - preferred or similar)
      • -
      • Configuration scripting languages (Ansible, Puppet, Chef, or similar)
      • -
      • Infrastructure provisioning tools (Terraform, CloudFormation, or similar)
      • -
      • Good knowledge of at least one cloud service provider (AWS, GCP, Azure, Openshift)
      • -
      • Linux servers (CentOS and RHEL)
      • -
      • Admin knowledge of Artifactory (Nexus, JFrog), GitLab and Ansible
      • -
      • Networking knowledge
      • -
      • General Software Automation principles
      • -
      • Containerization, Docker/K8S operation
      • -
      • Ensure secure configuration management practices, including the use of secrets management tools
      • -
      • Good hands on with Python and Shell scripting.
      • -
      • Good knowledge with API’s and consuming them via scripts.
      • +d8c5fe48-615d-471f-8871-1099921d32a2,344787652,Roche,Data Quality Lead Intern,on_site,"Ontario, Canada",2024-10-03T08:58:02.253Z,"
        +

        Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

        +

        +

        +

        The Position

        +

        As an Intern in our Portfolio Delivery Pods within Data Strategy and Delivery at PD Data Sciences, you\'ll take on the role of Data Quality Lead in Clinical Data Management. Collaborate with experts to manage data life cycles for research and clinical development. Work with peers across the organization to build effective data management solutions, following F.A.I.R. (Findable, Accessible, Interoperable, Reusable) principles. Ensure timely data deliverables and partner with external business partners and vendors to maintain high-quality data. Contribute to initiatives that craft our technical and business landscape. You\'ll need strong strategic, collaboration, and communication skills, along with an entrepreneurial mindset, to innovate data collection and delivery for developing medicines.

        +

        +

        The Opportunity:

        +
          +
        • Develop risk management strategies and handle timelines for successful study and project delivery, including new technology adoption.

        • +
        • Engage proactively with stakeholders to understand their needs, influence decision-making, and advise them of key deliverables and landmarks.

        • +
        • Collaborate on external data vendor selection and management, ensuring data transfer agreements meet standards and fit-for-purpose models.

        • +
        • Advise on best practices, propose innovative solutions, and ensure high-quality, compliant data collection through application of FAIR (Findable, Accessible, Interoperable, Reusable) principles.

        • +
        • Adopt and implement modern data tools and applications, and use surveillance tools to identify data patterns or anomalies. Demonstrating a strong understanding of the data flow from collection through to analysis and filing.

        • +
        • Partner with stakeholders for data insight needs, offer Data Management solutions, and provide technical guidance to ensure high-quality data collection and delivery.

        -
        -
      -
      -
      -

      Key Responsibilities

      -
      -
        -
      • Lead teams in building installing, configuring, and troubleshooting multiple custom-built applications
      • -
      • Build, install, configure, troubleshoot multiple custom-built applications
      • -
      • Deploy code and secure environments for several applications
      • -
      • Enforce secure coding practices and implement automated security testing during the build and deployment processes.
      • -
      • Participate in Kanban and/or Scrum meetings to plan, prioritize, estimate work
      • -
      • Participate in an on-call rotation and available to work off-hours and weekends.
      • -
      • Work with Developers and Testers to troubleshoot specific issues including recreating tests, validating configuration, etc.
      • -
      • Enable higher-quality software services through DevOps culture and tooling
      • -
      -
      -
      -
      -

      Critical Qualifications

      -
      -
        -
      • Bachelor’s Degree in Computer Science or equivalent experience with relevant working experience
      • -
      • Supporting and managing Linux operating system plus system administration and troubleshooting skills with a focus on performance tuning, security hardening and high availability
      • -
      • 5+ years experience with configuration management tools such as Terraform, Ansible.
      • -
      • 5+ years GIT experience or similar source control tools
      • -
      • 5+ years experience with Agile Software Development processes.
      • -
      • 5+ years experience with logging and monitoring tools such as ELK, Splunk, Zabbix and Prometheus
      • -
      • Strong knowledge of infrastructure design, provisioning, and management
      • -
      • Strong understanding of load balancing and TLS
      • -
      • Strong scripting skills in Bash and at least one high level language such as Python or Ruby
      • -
      • Excellent communication skills and the ability to explain technical concepts clearly to business and executive staff
      • -
      • Highly innovative, flexible and self-directed.
      • -
      • Demonstrated ability to adapt to new technologies and learn quickly 
      • -
      -
      -

        

      ​#EmployeeReferralProgram
       

      Adequate knowledge of French is required for positions in Quebec. 
       

      Additional Information:
      Position Type: Management 
      Job Status: Regular - Full Time 
      Job Location: Canada : Ontario : Mississauga || Canada : Quebec : Montreal 
      Flexible work profile: Mobile 
      Application Deadline: 09/20/2024 

       

      All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

       

      Please apply directly online to be considered for this role.  Applications through email will not be accepted.


      At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.


      Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.


      Created: Canada, ON, Mississauga
       

      Bell, one of Canada's Top 100 Employers.

      ",,https://jobs.bell.ca/ca/en/job/BECACA420468EXTERNALENCA/Senior-Devops-Engineer?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-13T21:30:03.187Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344695658-senior-devops-engineer-at-bell-canada,BECACA420468EXTERNALENCA,draft,2024-10-02T21:25:02.166Z,import-xml-feed:Bell-Canada,,,,,,, -6986ed4d-95c4-4693-a2ea-e971aa11272f,345360973,Google,"Enablement Specialist, Extended Workforce Solutions, gTech",on_site,"Toronto, ON, Canada",2024-10-07T08:34:03.358Z,"
      +

      +

      Who you are:

      +
        +
      • You hold BSc or Life Sciences, Data/Computer Science or Bioinformatics or equivalent experience.

      • +
      • You are currently enrolled in a Masters in Biomedical Discovery and Commercialization or Masters in Biotechnology program.

      • +
      • Interns must be enrolled in a degree granting institution at the START of their internship. 


      • +
      • Tight-knit collaboration, excellent communication (proficiency in English), and project management skills.

      • +
      • Ability to balance multiple priorities, demonstrate leadership in decision-making, negotiation, motivation, and influencing.

      • +
      • Experience with data analytics/visualization, an ambitious attitude, scientific curiosity, and knowledge of biological principles.

      • +
      +

      +

      Additional Information:

      +

      Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

      +

      Hours: full-time (35 hours per week)

      +

      Length: This position is a 12-month work term (full-time) and is expected to begin in January 2025

      +

      +

      Relocation benefits are not available for this job posting.

      +

      #MBDC&MBiotech

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202408-120056/Data-Quality-Lead-Intern,feed-importer@jobboard.io,,,,2024-10-07T09:03:03.201Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344787652-data-quality-lead-intern-at-roche,,draft,2024-10-03T08:58:02.253Z,import-xml-feed:Selenium-Scraper,,,,,,, +7583ee5c-0f14-4936-8efd-46528c1d4ce5,344787035,Google,"Account Executive, Mid-Market Sales, Google Customer Solutions",on_site,"Toronto, ON, Canada",2024-10-03T08:34:02.033Z,"
      -

      Enablement Specialist, Extended Workforce Solutions, gTech

      +

      Account Executive, Mid-Market Sales, Google Customer Solutions

      @@ -4942,7 +5272,7 @@ bb28350f-d0f6-46ec-90f4-db33ee2af1a7,343703204,Scotiabank,"Manager, MIS - Canadi
      -Apply
      +Apply
      @@ -4966,39 +5296,43 @@ bb28350f-d0f6-46ec-90f4-db33ee2af1a7,343703204,Scotiabank,"Manager, MIS - Canadi
      • Bachelor\'s degree or equivalent practical experience.
      • -
      • 8 years of experience in customer-facing role driving programs.
        -
      • -
      • Experience in influencing executive stakeholders (e.g.,executive decision-makers, director, etc).
        +
      • 5 years of experience in advertising, marketing, consulting, media, business development, or advertising agencies.
        +
      • +
      • Experience influencing or promoting to executive-level stakeholders.

      Preferred qualifications:

        -
      • MBA, other graduate degree, or equivalent experience.
        +
      • Experience promoting traditional and digital media advertising solutions.
        +
      • +
      • Experience managing a portfolio in an advertising or media business context.
      • -
      • Experience managing contingent workforce strategies and initiatives across functions.
        +
      • Knowledge of traditional and contemporary or online marketing strategy and tactics (e.g.,product knowledge across all digital advertising products areas).
        +
      • +
      • Ability to build narratives and utilize storytelling as a customer engagement strategy.
      • -
      • Proven track record of managing go-to-market strategy for complex programs.
      • -
      • Ability to cultivate global partnerships, aligning stakeholders towards strategic initiatives with regional/global impact.
        +
      • Ability to achieve goals to drive growth.

      About the job

      -

      gTech\'s Extended Workforce Solutions (xWS) team empowers Product Areas (PAs) to optimize outsourced operations while reducing risks and driving efficiency through the enforcement of Google best practices and policies. We advocate for informed decision-making, ensuring our partners find the right talent in the right locations. Our collaboration across Google leads to streamlined processes, minimizing administrative burdens and optimizing the extended workforce (xW) experience. We ensure Google\'s policies and guidelines are consistently adhered to.

      -

      Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

      To learn more about gTech, check out our video.

      +

      Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

      +

      Google Customer Solutions Sales teams are advisors who maintain a focus on customer success. The Google Customer Solutions (GCS) Mid-Market Sales team is a growth engine for our clients in GCS. Through long-term relationship development, we are dedicated to understanding the business goals by providing advertising solutions to drive business success.

      +

      When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the ""human face"" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.

      Responsibilities

        -
      • Build and maintain deep expertise in key project initiatives and be the point of contact for the broader team as a subject matter expert. Support senior decision makers to ensure projects meet the needs across Alphabet.
        +
      • Build and manage relationships with executive-level clients and partner stakeholders. Develop a comprehensive understanding of their business issues, marketing goals, and success metrics.
      • -
      • Own the partner program\'s go-to-market strategy, driving partner engagement and product success through research, relationship management, and data-driven execution.
        +
      • Develop a long-term joint strategy between Google and clients and lead a cross-functional team within Google to collaborate on projects and drive client success.
      • -
      • Collaborate with business partners and understanding their needs and advocate for solutions that address their needs within Extended Workforce Solutions (xWS).
        +
      • Plan for and achieve growth goals through the presentation of Google advertising products/solutions that will help clients to meet their marketing goals.
      • -
      • Support extensive change management within PAs to launch enterprise-wide xWS efforts with an understanding of the impact of changes as the liaison to executive decision-makers on xWS policies.
        +
      • Develop forward thinking, data-driven problem-solving and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers.
      • -
      • Develop scalable materials codifying xWS program details, key xWS stakeholders and impact analysis to educate Business Partners, Product Areas and Bets stakeholders.
        +
      • Build an in-depth knowledge of how Google advertising products work and can be used to help meet a wide range of marketing goals.
      @@ -5009,333 +5343,567 @@ bb28350f-d0f6-46ec-90f4-db33ee2af1a7,343703204,Scotiabank,"Manager, MIS - Canadi

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/99938739886662342-enablement-specialist-extended-workforce-solutions-gtech?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-06T08:34:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345360973-enablement-specialist-extended-workforce-solutions-gtech-at-google,,draft,2024-10-07T08:34:03.358Z,import-xml-feed:Google-Job-Feed,,,,,,, -16523b05-3678-48bd-a946-8c4558c90517,345361477,Roche,Bioinformatics Programmer Analyst Intern,on_site,"Ontario, Canada",2024-10-07T08:58:02.092Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      We are seeking a dynamic and motivated intern to join our bioinformatics team for a 12-month internship starting on January 6th, 2025. This role offers a unique opportunity to gain hands-on experience in developing computational tools and contributing to cutting-edge research projects.

      -

      -

      The opportunity:

      -
        -
      • Build a Python tool or R package to analyze various types of biological data.

      • -
      • Contribute to bioinformatic analysis of genomic, transcriptomic, or spatial data as part of a research project.

      • -
      • Aim to publish the developed tool/package or co-author a section of a research paper by the end of the internship.

      • -
      • Assist the team by analyzing small datasets, identifying trends from data tables, preparing figures, and organizing social events and team-building activities.

      • +
      ",,https://www.google.com/about/careers/applications/jobs/results/113913191762666182-account-executive-midmarket-sales-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787035-account-executive-mid-market-sales-google-customer-solutions-at-google,,draft,2024-10-03T08:34:02.033Z,import-xml-feed:Google-Job-Feed,,,,,,, +c71e5e0f-6428-4833-aff7-322815c6366a,344839848,Scotiabank,Commercial Banking Agricultural Analyst Intern Co-op Winter 2025 - Guelph (8 Months),on_site,Canada : Ontario : Guelph,2024-10-03T16:31:05.650Z,"

      +

      +

      +

      +

      Requisition ID: 206289

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Commercial Banking Agricultural Analyst Co-op

      +

      Start Date: January 6th

      +

      Location: Guelph, ON

      +

      Application Deadline: 10/18/2024

      +

      +

      There's no better way to kickstart your career than to join Scotiabank! You will have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it!

      +

      +

      This Coop opportunity is intended to build the foundation for future roles in Agricultural Banking Client Growth and Management.

      +

      +

      Scotiabank’s Commercial Banking professionals are committed to delivering advice. You will be a trusted business advisor offering a full suite of customized lending, deposit, cash management, and trade finance solutions to mid and large-sized businesses. Team players with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment, and our one-of-a-kind people-first culture. Our Commercial Banking professionals are committed to delivering advice and a full suite of customized lending, deposit, cash management and trade finance solutions to mid and large-sized businesses. Team members with a client-centric approach and a strong emphasis on results will thrive in our flexible, growth-oriented environment. We are also committed to providing advancement opportunities for those individuals who have the ability, aspiration, and engagement to contribute at higher levels.

      +

      +

      Is this role right for you? In this role, you will:

      +

      +
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
      • Analysis of client data to identify insights on strategic and operational analytics:
      • Assist the business unit with developing enhanced reporting and determining the components and scope of work required to satisfy requirements
      • Co-ordinate and centralize reporting and when possible automate reporting to increase efficiency
      • Performing ad-hoc analysis when necessary to provide insight to various business issues/trends.
      • Provide key performance indicator reporting and trending for success measurement
      • Support new initiatives by participating as a project resource and providing data requirements to help various stakeholders
      • Develop enhanced reporting and determining the components and scope of work required to satisfy requests
      • Build effective working relationships within the team and with various business lines
      • Participate and contribute to team meeting and actively sharing knowledge and experience to enhance the development of the team
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
      • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance
      -

      Who you are:

      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • You have Excellent verbal and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
      • You are enrolled in an undergrad/post-secondary degree in Food and Agricultural Business, Economics, or similar field
      • You have strong knowledge and understanding of financial statements and accounting principles
      • You have prior experience in providing customer needs-based advice and solutions
      • Your natural curiosity and passion for satisfying customer needs
      • Your analytical skills and strong attention to detail
      • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
      • You have problem solving skills
      • You have presentation skills
      • You have the ability to operate in a fast-paced, constantly changing environment
      • +
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +

      1. Complete your PLUM Profile here and save as a screenshot.

      +

      2. Complete a short one-way video interview here.

      +

      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

      +

      +

      +

      Location(s): Canada : Ontario : Guelph

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Guelph-Commercial-Banking-Agricultural-Analyst-Intern-Co-op-Winter-2025-Guelph-%288-Months%29-ON/584224017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839848-commercial-banking-agricultural-analyst-intern-co-op-winter-2025-guelph-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Guelph-Commercial-Banking-Agricultural-Analyst-Intern-Co-op-Winter-2025-Guelph-%288-Months%29-ON/584224017/,draft,2024-10-03T16:31:05.650Z,import-xml-feed:Scotiabank,,,,,,, +e70fde1c-de16-424a-b998-5008714eaff8,344839854,Scotiabank,SOAR: Indigenous Peoples Development Program - June 2025,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:06.811Z,"

      +

      +

      +

      +

      Requisition ID: 208079

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      SOAR: Indigenous Peoples New Graduate Development Program – June 2025

      +

      +

      Graduating Students (24 months) *Remote/Hybrid*

      +

      +

      Start Date: June 2025

      +

      +

      Location: Toronto, Ontario

      +

      +

      Application Deadline: 03/14/2025

      +

      +

      Who Are We?

      +

      +

      SOAR is Scotiabank’s 24-month development program designed exclusively for Indigenous Peoples completing post-secondary education. Our new graduate rotational programs provide the coach-supported opportunities to learn, practice, and apply the skills required to succeed at Scotiabank. We recognize the important contributions and perspectives that Indigenous Peoples provide our society and are committed to removing systematic barriers that have, in the past made it difficult for Indigenous Peoples to obtain meaningful careers in banking.

      +

      +

      This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank. Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.).

      +

      +

      Do you have the skills and requirements that will enable you to succeed in this program? – We’d love to work with you if:

      +

      +
      • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)

      • You have or will complete an apprenticeship, certificate, diploma, undergraduate or graduate degree between April 2023 – June 2025

      • You love to learn and envision yourself working for an international organization that heavily invests in your future.

      • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.

      • You’re interested in a career within the financial industry

      • You want to learn about various areas within the bank

      • You’re interested in having an impact with your peers and community

      • You want a culturally safe and supportive environment that helps you thrive to achieve your goals

      • +
      +

      +

      What’s in it for you?

      +

      +
      • You’ll be part of a diverse, collaborative, innovative, and inclusive team.

      • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.

      • A dedicated Program Manager to support with your learning, goals, and development.

      • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.

      • Individualized development plans, mentorship, and exclusive access to leaders.

      • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.

      • Opportunities to participate in cultural programming and Indigenous professional development series.

      • Networking opportunities with Scotiabank’s Indigenous Associates.

      • Health and wellbeing workshops focusing on Indigenous knowing and being

      • +
      +

      +

      How do I apply?

      +

      +

      For students, we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this sounds too good to be true, but for students applying to one of our co-ops, internships or TILT new grad programs we are no longer requiring resumes. Instead, we ask that as part of your application, you complete all three below:

      +

      +
      1. Complete your PLUM Profile here +
      2. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your plum to show us you’ve completed it, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it. Alternatively, you can submit a resume if you want, we just will not be relying on it when we assess you.
      3. +
      +

      +

      *To be considered, you must complete all steps above.

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839854-soar-indigenous-peoples-development-program-june-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-SOAR-Indigenous-Peoples-Development-Program-June-2025-ON/585010217/,draft,2024-10-03T16:31:06.811Z,import-xml-feed:Scotiabank,,,,,,, +2d1a6a19-c2d4-4257-adb0-a5c048077980,346633816,BMO Financial Group,Manager - Credit Risk Reporting,on_site,"Ontario, Canada",2024-10-17T08:18:02.998Z,"
      +

      Application Deadline:

      10/24/2024

      +

      +

      Address:

      100 King Street West

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +

      Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

        -
      • Candidates should be in their 4th year of undergraduate study or curently enrrolled in an Msc program.

      • -
      • Strong computational skills with basic biological knowledge.

      • -
      • Previous experience in bioinformatics or computational biology projects, preferably in a research or clinical setting.

      • -
      • Ability to analyze large datasets and interpret complex biological information.

      • -
      • Proficient in programming languages such as Python, R, and Unix/Linux.

      • -
      • Understanding of genomic and transcriptomic data, as well as familiarity with Next Generation Sequencing (NGS) datasets.

      • -
      • Experience in leading community events or university clubs.

      • -
      • Experience in gathering and defining project requirements is a plus.

      • +
      • Acts as a trusted advisor to assigned business/group.
      • +
      • Influences and negotiates to achieve business objectives.
      • +
      • Recommends and implements solutions based on analysis of issues and implications for the business.
      • +
      • Assists in the development of strategic plans.
      • +
      • Identifies emerging issues and trends to inform decision-making.
      • +
      • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
      • +
      • Helps determine business priorities and best sequence for execution of business/group strategy.
      • +
      • Conducts independent analysis and assessment to resolve strategic issues.
      • +
      • Leads the development and maintenance of the risk reporting framework.
      • +
      • Represents the risk reporting function during internal/external regulatory audits and/or examinations
      • +
      • Ensures alignment between stakeholders.
      • +
      • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
      • +
      • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
      • +
      • May provide specialized support for other internal and external regulatory requirements.
      • +
      • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
      • +
      • Leads/participates in the design, implementation and management of core business/group processes.
      • +
      • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
      • +
      • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
      • +
      • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
      • +
      • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
      • +
      • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
      • +
      • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
      • +
      • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
      • +
      • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
      • +
      • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
      • +
      • Provides information and supports the process for internal and external audits.
      • +
      • Gathers and formats data into regular and ad-hoc reports, and dashboards.
      • +
      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
      • +
      • Builds effective relationships with internal/external stakeholders.
      • +
      • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
      • +
      • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
      • +
      • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
      • +
      • Organizes work information to ensure accuracy and completeness.
      • +
      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
      • +
      • Provides specialized consulting, analytical and technical support.
      • +
      • Exercises judgment to identify, diagnose, and solve problems within given rules.
      • +
      • Works independently and regularly handles non-routine situations.
      • +
      • Broader work or accountabilities may be assigned as needed.

        Qualifications:

        +
      • +
      • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
      • +
      • In-depth knowledge of risk management metrics, KPIs and KRIs.
      • +
      • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
      • +
      • In-depth product knowledge for the designated business/portfolio.
      • +
      • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
      • +
      • In-depth knowledge of reporting & analytics concepts and applications.
      • +
      • In-depth knowledge of risk systems technology.
      • +
      • Deep knowledge and technical proficiency gained through extensive education and business experience.
      • +
      • Verbal & written communication skills - In-depth.
      • +
      • Collaboration & team skills - In-depth.
      • +
      • Analytical and problem solving skills - In-depth.
      • +
      • Influence skills - In-depth.
      • +
      • Data driven decision making - In-depth.
      +
      +

      +

      Salary:

      +
      $68,000.00 - $126,000.00

      +

      Pay Type:

      Salaried

      +

      The above represents BMO Financial Group’s pay range and type.

      +

      +

      Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

      +

      +

      BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

      +

      +

      +

      We’re here to help

      +

      +

      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

      +

      +

      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

      +

      +

      To find out more visit us at https://jobs.bmo.com/ca/en.

      +

      +

      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

      +

      +

      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager---Credit-Risk-Reporting_R240024008-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-16T08:18:03.016Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346633816-manager-credit-risk-reporting-at-bmo-financial-group,,draft,2024-10-17T08:18:02.998Z,import-xml-feed:BMO-Job-Feed,,,,,,, +85fbc328-1738-4697-84ec-0651560523c9,346633817,BMO Financial Group,Risk Specialist Analyst,on_site,"Ontario, Canada",2024-10-17T08:18:03.075Z,"
      +

      Application Deadline:

      11/14/2024

      +

      +

      Address:

      33 Dundas Street West

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +

      As part of the role, the analyst will provide maned services of vulnerability patch management in Wealth Management. As part of this role, you know Power BI, understand the development life cycle and be able to communicate vulnerabilities with the Senior Leadership team.

      -

      Additional information:

      +

      Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

        -
      • Duration: 12 months

      • -
      • Location: Mississauga, Ontario

      • -
      • Modality: Hybrid (Minimum 3 days in the office).

      • -
      • Approximate Start Date: January 6th, 2025

      • +
      • Monitor, assist and report on patching, vulnerabilities, and configuration management related activities.
      • +
      • Liaison with 3rd party’s groups, facilitate vulnerabilities exception process, track & coordinate remediation plans and monitor response progress.
      • +
      • Provide oversight using regular, ad-hoc reports and dashboards to improve prevention.
      • +
      • Assist with Risk Controls socialization, process awareness and department level audits.
      • +
      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
      • +
      • Acts as a resource for team members with less experience
      • +
      • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.
      • +
      • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
      • +
      • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
      • +
      • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
      • +
      • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
      • +
      • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
      • +
      • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
      • +
      • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
      • +
      • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
      • +
      • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
      • +
      • Provides information and supports the process for internal and external audits.
      • +
      • Gathers and formats data into regular and ad-hoc reports, and dashboards.
      • +
      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
      • +
      • Builds effective relationships with internal/external stakeholders.
      • +
      • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
      • +
      • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
      • +
      • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
      • +
      • Organizes work information to ensure accuracy and completeness.
      • +
      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
      • +
      • Exercises judgment to identify, diagnose, and solve problems within given rules.
      • +
      • Works independently on a range of complex tasks, which may include unique situations.
      • +
      • Broader work or accountabilities may be assigned as needed.

        Qualifications:

        +
      • +
      • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
      • +
      • Knowledge of risk management metrics, KPIs and KRIs
      • +
      • Power BI
      • +
      • Experience in vulnerability and configuration management related activities
      • +
      • Technical proficiency gained through education and/or business experience in use of specific tools; Power BI/Dashboards, Confluence, SharePoint, Other.
      • +
      • Knowledge of industry trends and regulatory requirements for risk reporting.
      • +
      • Knowledge of risk management theory, processes and portfolio management reporting techniques.
      • +
      • Knowledge of reporting & analytics concepts and applications.
      • +
      • Verbal & written communication skills - In-depth.
      • +
      • Collaboration & team skills - In-depth.
      • +
      • Analytical and problem solving skills - In-depth.
      • +
      • Influence skills - In-depth.
      • +
      • Data driven decision making - In-depth.
      +

      -

      Please note that relocation benefits are not available for this job posting.

      -

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      Salary:

      +
      $54,500.00 - $101,500.00

      +

      Pay Type:

      Salaried

      +

      The above represents BMO Financial Group’s pay range and type.

      -

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

      -

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      -
      +

      BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

      -

      Roche is an Equal Opportunity Employer.

      -
      -
      ",,https://careers.roche.com/global/en/job/202409-123566/Bioinformatics-Programmer-Analyst-Intern,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345361477-bioinformatics-programmer-analyst-intern-at-roche,,draft,2024-10-07T08:58:02.092Z,import-xml-feed:Selenium-Scraper,,,,,,, -460f0d14-8025-4c3e-8358-fea6a3cf713b,345361483,Ada,Technical Support Advisor,on_site,"Ontario, Canada",2024-10-07T08:58:02.888Z,"
      -
      -
      -
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      -
      -
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
      -
      -
      -

      As a Technical Support Advisor, you will be an integral part of our Technical Support team to proactively localize, diagnose and problem-solve technical issues of our clients while delivering against the team’s SLAs and KPMs.

      -

      About You

      +

      +

      We’re here to help

      +

      +

      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

      +

      +

      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

      +

      +

      To find out more visit us at https://jobs.bmo.com/ca/en.

      +

      +

      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

      +

      +

      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Specialist-Analyst_R240026676-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-24T08:23:02.741Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346633817-risk-specialist-analyst-at-bmo-financial-group,,draft,2024-10-17T08:18:03.075Z,import-xml-feed:BMO-Job-Feed,,,,,,, +86022aca-2c79-4cc6-9c34-49958b60f7c0,344243189,Borealis AI,Senior Program Manager,on_site,"Ontario, Canada",2024-09-30T08:43:02.021Z,"
      +

      What\'s the opportunity?

      +

      RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI and delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry.

      +

      We are seeking an experienced Senior Program Manager with a proven track record of executing and overseeing complex, enterprise-wide initiatives. This role will involve managing the implementation of a cutting-edge modern marketing engine powered by advanced machine learning systems. You will collaborate with teams across RBC Borealis and RBC, ensuring successful execution of a program that spans multiple departments and stakeholder groups, driving strategic business impact.

      +

      Your responsibilities include:

        -
      • You have a proven track record of resolving issues that are hard to replicate and may be dependent on products or infrastructure beyond Ada’s own product/platform.
      • -
      • Technical Competences:
          -
        • You have experience using Postman or CURL
        • -
        • Experience supporting web applications in our current technology stack (Jira, Zendesk, Salesforce)
        • -
        • You possess a working knowledge of Application Programming Interfaces (APIs),
        • +
        • Program Leadership and Execution
            +
          • Oversee the execution of a large-scale marketing engine program, ensuring seamless coordination and alignment across Borealis AI and RBC departments;
          • +
          • Develop and manage detailed program plans, schedules, budgets, and risk mitigation strategies to ensure timely and successful delivery;
          • +
          • Ensure program objectives are aligned with Borealis AI and RBC’s broader strategic goals, with a focus on using AI and machine learning to drive marketing innovation;
        • -
        • You have excellent backlog management skills, ensuring service requests are kept up to date and nothing “dies on the vine”.
        • -
        • You possess an analytical and methodical approach to problem-solving and troubleshooting technical issues.
        • -
        • You manage competing priorities transparently.
        • -
        • You can explain complex concepts effectively to different audiences, and adjust your communication style accordingly.
        • +
        • Stakeholder Management
            +
          • Establish and maintain strong relationships with key stakeholders across technical, operational, and business teams;
          • +
          • Facilitate cross-functional communication, ensuring that all stakeholders are informed and aligned on program goals, timelines, and progress;
          • +
          • Serve as a central point of contact for senior leadership, providing regular updates, reporting on key metrics, and ensuring stakeholder buy-in at all stages of the program;
          -

          Outcomes

          -
            -
          • Triage, troubleshoot, localize and escalate complex client support issues to the Technical Support Engineering teams within agreed-upon SLAs.
          • -
          • Deliver exceptional customer service experience and technical support to our clients.
          • -
          • Support our non-engineering teams in using, debugging, and understanding our platform.
          • -
          • Maintain and improve internal product documentation for the client support team.
          • -
          • Become an Ada product expert and utilize your knowledge to derive structured feature requirements and bug reports from even the most abstract information from our stakeholders.
          • + +
          • Program Governance and Reporting
              +
            • Implement governance frameworks to ensure transparency, accountability, and effective decision-making throughout the program lifecycle;
            • +
            • Track and report on program progress, including deliverables, milestones, risks, and issues, providing data-driven insights to senior leadership;
            • +
            • Drive continuous improvement by establishing program metrics and identifying areas for optimization;
            -

            Benefits

            +
          • +
          • Technical Integration and Collaboration
              +
            • Collaborate with AI researchers, engineers, and data scientists to ensure the technical components of the marketing engine are effectively integrated into the overall program;
            • +
            • Translate complex technical requirements into actionable program plans, facilitating collaboration between technical and non-technical teams;
            • +
            • Provide guidance on technical trade-offs and ensure alignment with AI and machine learning best practices;
            • +
            +
          • +
          • Change Management
              +
            • Lead change management efforts to ensure successful adoption of the modern marketing engine across the organization;
            • +
            • Develop and execute training, communication, and support plans to ensure teams are equipped to leverage new AI-powered tools and workflows;
            • +
            • Foster a culture of innovation and continuous learning, encouraging teams to explore new possibilities with AI and machine learning technologies.
            • +
            +
          • +
          +

          You\'re our ideal candidate if you:

            -
          • Competitive salary and generous stock option plan
          • -
          • Unlimited vacation
          • -
          • Wellness account
          • -
          • Extended health coverage
          • -
          • Dental/optical/travel insurance
          • -
          • Life insurance
          • -
          • Employee and family assistance plan
          • +
          • Bachelor\'s degree in a technical field (e.g., Computer Science, Engineering) or equivalent experience. MBA or advanced degrees are a plus;
          • +
          • 10+ years of experience managing large-scale, enterprise-wide programs in top-tier technology or consulting companies;
          • +
          • Proven experience in program management of complex, cross-functional initiatives, particularly within AI, machine learning, or related technologies;
          • +
          • Strong stakeholder management skills, with the ability to influence senior leadership and drive collaboration across departments;
          • +
          • Technical proficiency in AI, machine learning, or data science concepts, with the ability to understand and communicate complex technical information;
          • +
          • Exceptional communication and presentation skills, with the ability to connect with diverse audiences and foster alignment across technical and non-technical teams;
          • +
          • Demonstrated ability to manage large budgets, resource allocation, and project risks in dynamic and fast-paced environments;
          • +
          • Experience in the financial services industry is a plus but not required.
          -

          Perks

          +

          What\'s in it for you?

            -
          • Flexible work schedule
          • -
          • Remote-first, In-person friendly work environment with WFH budget
          • -
          • Paid parental leave for Canadian and U.S. residents
          • -
          • Development opportunities
          • +
          • Opportunity to play a vital role in the development of leading-edge products;
          • +
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
          • +
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • +
          • Leaders who support your development through coaching and management opportunities;
          • +
          • Ability to make a difference and lasting impact from a local-to-global scale.
          -

          The expected salary range for this position is $70,250 to 94,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

          -

          #LI-NS1

          -
      -
      -

      About Us

      -

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      -

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      -

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      -

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      +

      About RBC Borealis

      +

      RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      +
      ",,https://www.borealisai.com/careers/?gh_jid=7661872002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-30T08:43:02.040Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243189-senior-program-manager-at-borealis-ai,,draft,2024-09-30T08:43:02.021Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +ef9fa70c-5c81-49c5-9b78-1235a9d2b590,346634422,CN,"Intern, Industrial Hygienist – Safety",on_site,"Ontario, Canada",2024-10-17T08:58:01.615Z,"
      +

      At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
      We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

      -

      -
      -
      ",,https://job-boards.greenhouse.io/ada18/jobs/4532297007,feed-importer@jobboard.io,,,,2024-11-06T08:58:02.888Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345361483-technical-support-advisor-at-ada,,draft,2024-10-07T08:58:02.888Z,import-xml-feed:Selenium-Scraper,,,,,,, -1cc2c7dd-9ad9-4d94-9209-b53fc7ebab81,345361484,Ada,"Intermediate Software Engineer, Full Stack",on_site,"Ontario, Canada",2024-10-07T08:58:03.016Z,"
      -
      -
      -
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      -
      -
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
      -
      -
      -

      As an Intermediate Software Engineer on our team, you will work with internal and external stakeholders, product managers, and designers to execute Ada’s roadmap and iteratively deliver the messaging platform that will drive more volume to our AI-driven CX platform.

      -

      About You

      +

      +

      Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Industrial Hygienist – Safety position in Montreal, QC or Toronto, ON from May– Aug 2025.

      +

      Job Summary

      +

      The Intern, Industrial Hygiene – Safety is responsible for understanding the techniques used in industrial hygiene to collect and evaluate data, as well as apply regulatory and professional standards to protect employees and the community. The role is performed in collaboration with the Industrial Hygiene team by conducting workplace monitoring for noise and various airborne hazards across operational departments. After an initial orientation, the incumbent works with supervisors and Safety team members on their projects, provides daily or weekly reports on the progress and the challenges incurred.

      +

      Major Responsibilities

        -
      • 2+ years of experience as a Full Stack Developer
      • -
      • Proficient with frontend technologies (React) and backend technologies (Python)
      • -
      • Understanding of databases such as MongoDB, PostgreSQL, ElasticSearch and in-memory stores such as Redis
      • -
      • Experience with 3rd party LLMs, such as GPT, Azure, Anthropic ect.
      • -
      • Experience deploying code and strong developer operations
      • -
      • Commitment to personal growth and continued learning
      • -
      • Drive and willingness to make the people around you better
      • -
      • Self-starter, problem solver and strong communicator
      • -
      • Experience working with public APIs to build reliable third-party integrations
      • +
      • Conduct noise monitoring during locomotive train operations and yard activities
      • +
      • Perform air monitoring for silica, diesel particulate matter, and lead as per operational department needs
      • +
      • Evaluate workplace task biomechanics for Transportation, Engineering and Mechanical departments using Soter Analytics Video Software
      • +
      • Test various biomechanical improvements, evaluate using Occupational Safety and Health Administration (OSHA) and National Institute for Occupational Safety and Health (NIOSH) applications and provide best practice recommendations
      • +
      • Provide coaching and feedback to various groups on proper biomechanics
      • +
      • Develop education materials based on industrial hygiene assessments and employee feedback
      • +
      • Evaluate CN’s compliance with the Occupational Safety and Health Administration (OSHA) Hazard Communication program or Canada Occupational Health and Safety Regulations (COHSR) Workplace Hazardous Materials Information System program
      • +
      • Perform spot inspections of hazardous materials inventories and update as appropriate
      • +
      • Resolve if the Safety Data Sheets (SDSs) are available in the system and update them accordingly
      -

      Outcomes

      +

      Requirements

        -
      • Execute on our ambitious product roadmap
      • -
      • Provide your perspective and ideas to help level up our current development practices
      • -
      • Review the team’s code, provide insightful feedback, foster collaborative community and teach everyone something new
      • -
      • Ensure that the team is providing the best AI Agent platform experience to our internal developers and external partners
      • -
      • Participate in an on-call rotation for the services the team owns, triaging and addressing production issues
      • +
      • Knowledge of Microsoft Office
      • +
      • The role requires occasional travel (30%) within Canada and the United States (U.S.)
      -

      Benefits

      +

      Education

        -
      • Competitive salary and generous stock option plan
      • -
      • Unlimited vacation
      • -
      • Wellness account
      • -
      • Extended health coverage
      • -
      • Dental/optical/travel insurance
      • -
      • Life insurance
      • -
      • Employee and family assistance plan
      • +
      • Minimum 3 years completed of a Bachelor’s Degree in an Occupational Safety and Health Field or Science (e.g., Biology, Chemistry, Physics)
      • +
      • Working towards a Master’s Degree in an Occupational Safety and Health field*
      -

      Perks

      +

      *Any experience/education/skills/knowledge for these above would be considered as an asset

      +


      +

      +

      +

      About CN

      CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

      +

      At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

      +

      As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      +

      +
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14601?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-16T08:58:01.616Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634422-intern-industrial-hygienist-safety-at-cn,,draft,2024-10-17T08:58:01.615Z,import-xml-feed:Selenium-Scraper,,,,,,, +7a955cc4-71bd-4ac0-b94b-b151fc91b89a,346634428,CN,"Intern, Law",on_site,"Ontario, Canada",2024-10-17T08:58:02.420Z,"
      +

      At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
      We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

      +

      +

      Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Law position in Homewood, IL from May– Aug 2025.

      +

      Job Summary

      +

      The Intern, Law works closely with the Legal department to assist in providing the highest quality, cost effective and pro-active legal services to CN to protect and promote the organization’s people, business, and reputation. During the internship, the candidate works with leaders within the company on key projects.

      +

      Major Responsibilities

        -
      • Flexible work schedule
      • -
      • Remote-first, In-person friendly work environment with WFH budget
      • -
      • Paid parental leave for Canadian residents
      • -
      • Development opportunities
      • +
      • Perform legal research and draft memos
      • +
      • Help prepare for and attend hearings with Counsel
      • +
      • Review contracts
      • +
      • Assist with the preparation of department communications (e.g., gather subjects, help with the drafting and revision of the texts)
      • +
      • Assist Counsel on various projects
      -

      The expected salary range for this position is $102,000 to $131,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

      +

      Requirements

      +
        +
      • Knowledge of Microsoft Office (Outlook, Word, Excel)
      • +
      • Knowledge of legal search databases (CanLii, Bloomberg Law, Lexis, and Nexus)
      • +
      • Fluently bilingual both written and verbal (English, French)*
      • +
      • Collaborates with others and shares information
      • +
      • Demonstrates active listening
      • +
      • Applies critical thinking
      • +
      • Communicates with impact
      • +
      +

      Education

      +
      • Working towards university-based Juris Doctor (JD), Bachelor of Law (LL.B.), Bachelor of Civil Law (B.C.L.), or equivalent program
      +

      *Any experience/education/skills/knowledge for these above would be considered as an asset

      +

      +

      +

      +

      About CN

      CN is a premium railroad that sustainably generates value for ourcustomers, shareholders, employees, and stakeholders with an unwaveringcommitment to safety and service. Essential to the economy, to the customers,and to the communities it serves, CN safely transports more than 300 milliontons of natural resources, manufactured products, and finished goods throughoutNorth America every year. CN\'s network connects Canada’s Eastern and Westerncoasts with the U.S. South through an 18,800-mile rail network. CN and itsaffiliates have been contributing to community prosperity and sustainable tradesince 1919. CN powers the North American economy and is committed to programssupporting social responsibility and environmental stewardship.

      +

      CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      +
      ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14606?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346634428-intern-law-at-cn,,draft,2024-10-17T08:58:02.420Z,import-xml-feed:Selenium-Scraper,,,,,,, +f4405197-4f95-41f6-a78b-e3bb190805f3,346652961,Scotiabank,"Manager, Automotive Credit Strategies",on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.480Z,"

      -

      LI-NS1

      -
      +

      +

      +

      Requisition ID: 208961

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      The mandate of this role is to oversee the acquisition credit risk strategies and policy for the Automotive portfolio to optimize risk/return within Global Risk Management to meet Canadian Banking strategic priorities.

      +

      +

      In this role, you will develop and monitor key performance indicators of the portfolio scrutinized through different lenses. You will use in-depth portfolio insights to develop through-the-door adjudication strategies or recommend policy changes for various segments and programs to maximize risk adjusted return while managing portfolio PCL under the current highly fluid credit market. This includes various stages of strategy development: identify opportunities through data driven analytics, leverage champion/challenger capabilities to confirm previous assumptions and forecast financial outcome of strategies, propose changes through rigorous business framework in place, implement the change with technology teams, perform post implementation validations, track performance to validate forecast and reinvent upon iterations.

      +

      +

      The incumbent will work in close collaboration with our risk technology partners to ensure credit strategies are implemented without production defect and along with business line partners to ensure business strategies are consistent with the Risk Appetite Framework.

      +

      +

      Is this role right for you? In this role, you will be responsible for:

      +

      +
      • +Strategy Development & Implementation
        • Developing credit risk strategies for Automotive finance portfolio, leveraging a data driven approach to approve credit, set credit limit, and recommending risk adjusted pricing
        • Ensuring successful implementation of strategy changes within the adjudication engine and performing post implementation validation
        • Ensuring the design of development process adheres to regulatory and governance requirements.
      • +
      +

      +
      • +Portfolio Analytics and Oversight
        • Using a variety of Business Intelligence analytical and reporting tools (ex. SAS, SQL, Python, Power BI, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines
        • Maintaining performance monitoring on new accounts acquired through different channels and special programs; ensuring performance align with targets, explain discrepancies/ emerging trends that may impact portfolio health (short term and long term)
        • Analyzing strategy effectiveness and proactively identifying if any risk segments are or will impact provisioning estimates as vintages mature
        • Identifying opportunities and propose innovative risk strategies with focus on risk/return, asset-based lending with building a robust and competitive portfolio in mind
        • Reviewing and conducting analysis of existing policy and procedures to identify, promote and lead opportunities to maintain credit quality, improve efficiency and effectiveness of originations procedures including streamlining, automating, and standardization; recommending changes to enhance performance and overall customer experience.
      • +
      +

      +
      • +Automotive Financing Competitive Landscape
        • Staying informed of competitive landscape, partnering with the business line to ensure that as risk managers our processes, strategies and policies consider the changing landscape.
        • Developing and maintaining relationships with external business partners (e.g., OEMs, credit bureaus and dealer portals) and similar position contacts in other financial institutions.
      • +
      +

      +
      • +Support Business Line Initiatives/projects
        • Ensuring all business line strategic projects (i.e., new product launches, changes to existing product offerings, new channels, new acquisition framework) are consistent with Risk Appetite Framework. Recommending changes to business line strategies to ensure the Bank does not take on more credit risk than planned
        • Representing Risk's point of view and liaise with the stakeholders (operations, product owners, collections, technology, governance) throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate identify, evaluate, and address credit risk that arises from the development, deployment, interpretation, and maintenance of Credit Risk Policy in support of new products/program development, portfolio performance issues, product enhancements, changes to the industry and regulatory landscape, and business operations
        • Supporting GRM effective challenge function, ensuring Credit Risk Proposals are supported with strong financial and quantitative analysis, credit risks are effectively assessed and measured. Conducting in-depth analysis on special programs, support policy enhancement
        • Preparing and assessing credit risk proposals and providing Senior Management with sound recommendations for changes to core policies, regulations and major business initiatives and portfolio level decisions that require GRM’s authorization. This includes assessment of new program/product, new pilots or pilot extension or program renewals, etc.
        • Supporting investigations and solutioning for questions/findings from OSFI and Internal Audit in an appropriate /acceptable timeframe.
      • +
      +

      +

      Do you have the skills that will enable you to succeed? We’d love to work with you if you have:

      +

      +
      • A university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a Master degree in business, statistics, economics, mathematics, management sciences or analytics
      • A minimum of three years with an organization focused on improving the customer experience and automating processes, with a proven track record using analytical tools to conduct data analysis and generate business insights
      • Proficiency in programming and/or database programs (SAS, JAVA, SQL, R, Hadoop, Python)
      • Strong personal time management skills and curiosity to learn, explore, and discover is a must
      • Excellent communication and written skills complemented with analytical & problem-solving skills consistent with the ability to identify key issues from a broad range of alternatives as well as recommend optimal solutions for various situations
      • Knowledge of credit bureau reporting, credit scoring and risk assessment as well as portfolio management and behaviour scoring to maximize the effectiveness of existing technology in providing competitive and effective policies that respond to the credit needs of our customers
      • Prior experience in a retail lending environment or credit risk management is preferred
      • +
      +

      +

      What’s in it for you?

      +

      +
      • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
      • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
      • Your career matters! You will have access to career development and progression opportunities.
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Automotive-Credit-Strategies-ON-M5H1B6/585683217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-16T16:31:03.493Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346652961-manager-automotive-credit-strategies-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Automotive-Credit-Strategies-ON-M5H1B6/585683217/,draft,2024-10-17T16:31:03.480Z,import-xml-feed:Scotiabank,,,,,,, +b3160e2c-4c43-4fa7-8bc8-d1ca3d44e1b7,346652967,Scotiabank,GTB - Business Deposits Portfolio Management Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.991Z,"

      +

      +

      +

      +

      Requisition ID: 207265

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: January 2025 - April 2025

      +

      +

      Application Deadline: 10/18/2024

      Overview/Purpose:

      +

      +

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      You will support the Business Deposits Portfolio Management team by contributing to deposit initiatives aimed at meeting our deposit sales and profitability goals. Your responsibilities will also include maintaining various deposit trackers and managing our team's schedule, for enhanced organization and efficiency (amongst other tasks).

      +

      +

      Is this role right for you? In this role, you will:

      +

      +
      • Support deposit initiatives aimed at enhancing our competitive position, growing the balance sheet, and increasing revenues through data analysis and insights
      • Oversee summary of competitor insights, conducting a weekly market review of available rates for Business Accounts and GICs, and compile these into a comparison sheet for internal use
      • Maintain multiple deposit trackers and support the production of weekly and monthly reports
      • Complete ad-hoc data and report requests as needed
      • Maintain schedule of team activities to ensure smooth operations and promote team building
      • Assist the team in improving processes & procedures for the deposit portfolio
      • Aid in creating presentations and communications for internal partners, management teams, and executives to support strategic decision-making processes (e.g., providing education, guidance, and partner engagement)
      • Foster a customer-focused culture through data analysis and reporting to deepen client relationships and leverage broader bank relationships, systems, and knowledge
      • Perform other duties as assigned, including handling ad-hoc assignments or special projects from Senior Management
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • Post-Secondary Education completed in business or related area
      • Prior Banking experience is an asset
      • Strong analytical skills
      • Detailed-oriented with the ability to transfer complex information into digestible summaries
      • Proven Excel skills to manage several trackers in support of deposit portfolio governance
      • Proven PowerPoint skills with ability for content creation to support deposit resources
      • Creative and curious
      • Self-motivated with the ability to prioritize and multi-task, working both independently and within a team environment
      • Strong organizational skills and the ability to prioritize work effectively and efficiently
      • +
      +

      +

      What’s in it for you?

      +

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete a short one-way video interview here.
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. +
      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      +

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-GTB-Business-Deposits-Portfolio-Management-InternshipCo-op-Winter-2025-ON/584619117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652967-gtb-business-deposits-portfolio-management-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GTB-Business-Deposits-Portfolio-Management-InternshipCo-op-Winter-2025-ON/584619117/,draft,2024-10-17T16:31:03.991Z,import-xml-feed:Scotiabank,,,,,,, +ff943454-f428-4b27-b25f-58b6e5cac6bc,343706892,KPMG,Senior Consultant - IT Risk Services,on_site,"Toronto, Canada",2024-09-26T16:34:03.798Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Technology Risk Services team is growing and we are looking for a Senior Consultant to join our team in Toronto. The Technology Risk Services practice provides a variety of services to our clients. The successful candidate will focus primarily on performing IT internal audit and IT risk advisory engagements.


      What you will do

      • +

        Conducting assessments of IT risks and controls in support of internal and external audit and advisory engagements, related to for instance:

        +
          +
        • Internal controls over financial reporting
        • +
        • IT risk and maturity assessment
        • +
        • IT projects and system implementations.
        • +
        • Access Management
        • +
        • IT governance reviews
        • +
        • IT Third party risk management.
        • +
        • Business continuity and disaster recovery
        • +
        • Cloud security
        • +
        • Data governance assessments and reviews
        • +
        • ERP controls and security
        • +
        • Responsible AI and governance
        • +
        +

        +
          +
        • Managing engagements end-to-end, overseeing teams and managing clients.
        • +
        • Developing risk and control matrices and reviewing procedures.
        • +
        • Engagement risk management: quality assurance through file review, engagement planning, development and monitoring, engagement profitability
        • +
        • Simultaneously deliver multiple client engagements of varying size, scope and complexity.
        • +
        • Business development: taking an active role in the business community to increase awareness of the firm's services and level of commitment to the local market, developing and maturing relationships with internal staff and clients, developing proposals, identifying and pursuing opportunities to increase the practice's penetration in the public and private sector.
        • +
        • Service Delivery: conducting research, performing technical testing, writing reports, conducting interviews and communicating regularly with clients and resources.
        • +
        • Leading field engagement teams as well as coaching and mentoring junior staff members.
        • +
        +

      What you bring to the role

      A successful candidate will possess a mix of the following skills and behaviors:

        +
      • Bachelor’s or Masters degree in Business, Information technology, Data Science or Computer Science degree required
      • +
      • Completion of relevant certifications (e.g., CISA, CRISC, CGEIT, ISO27001).
      • +
      • 2 to 5 years of relevant experience in assessing information technology or business process risk ideally within a large consulting practice.
      • +
      • Strong understanding and experience with IT risk management and assessments in different capacities (e.g. advisor, internal/external audits, implementor).
      • +
      • Experience in the testing of controls in different IT environments.
      • +
      • Experience with IT audits (e.g. financial statement audit support, SOX audit, 52-109, etc.)
      • +
      • Ability to work both independently, with little supervision and within a team environment.
      • +
      • Excellent written and oral communication skills, able to effectively express insights.
      • +
      • Demonstrated ability to learn and succeed in a fast-paced environment.
      • +
      • Attention to detail and strong organization and analytical skills.
      • +
      • Strong understanding of business and audit risks.
      • +
      • Has a high degree of personal confidence, enthusiasm and drive. Willingness and ability to travel both within Canada and internationally.
      • +

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/24709?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-21T16:40:03.976Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706892-senior-consultant-it-risk-services-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24709?lang=en-us,draft,2024-09-26T16:34:03.798Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +6440371d-9c8a-43dc-b27a-7da526515ac3,345788133,Magna International,"Program Manager, Learning & Development (14-Month Contract)",on_site,"Aurora, ONTARIO, CA, L4G 0G9 + + Brampton, ONTARIO, CA, L6R 4C8",2024-10-10T16:41:13.432Z,"
      +
      +

      About the Role

      -

      About Us

      -

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      -

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      -

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      -

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      -

      +

      This role works across Divisions and Groups to deliver L&D programs, contributing directly to Magna’s business and strategic priorities and providing insight and recommendations to support continuous improvement. As part of this work, the role is primarily accountable for successful delivery of Magna’s global leadership and operational development programs and ensuring global alignment of standardized program content across regions and groups.

      -
      ",,https://job-boards.greenhouse.io/ada18/jobs/4514749007,feed-importer@jobboard.io,,,,2024-11-06T08:58:03.016Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345361484-intermediate-software-engineer-full-stack-at-ada,,draft,2024-10-07T08:58:03.016Z,import-xml-feed:Selenium-Scraper,,,,,,, -e941a0a3-4fed-4676-86fe-b409194ce191,345449110,BELL CANADA,2025 Graduate Program- Software Development,on_site,"Don Mills, Ontario, Canada",2024-10-07T21:25:03.634Z,"

       ​Req Id: 420037


      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

       

      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


      Join us. You belong at Bell. 

       

      Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

       

      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

       

      -
      -
      -

      +
      +

      Your Responsibilities

      -

      This application is specifically for the Graduate program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

      -

       

      -

      Why join us?

      -

       

      -
        -
      • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
      • -
      • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
      • -
      • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
      • -
      • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
      • -
      • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
      • +

        +

        Program Management:

        +

        +
        • Coordinate and manage the execution of the Operations Management Accelerator in collaboration with Corporate L&D management team.
        • Manage the execution of the global leadership development programs in collaboration with Corporate L&D management team.
        • Serve as primary contact for Corporate L&D, focusing on program implementation and delivery.
        • Coordinate with regional L&D managers to ensure effective adoption of programs and adherence to L&D standards.
        • Work with external partners to deliver aligned content and programs, evaluating training success globally.
        • Track and report learning outcomes to demonstrate program impact.
        • +
        +

        +

        Administration & Event Management:

        +

        +
        • Handle logistics for program events.
        • Analyze learning metrics for reporting to senior leaders.
        • Manage participant registrations, track attendance, and monitor program progress using the Magna LMS.
        -

         

        -

        What you’ll do

        -

         

        -

        Impactful decision-making, creative solution-exploration and innovative thinking all describe the roles on our Software Development team. As a grad, you will play an important role in bringing new ideas to solving complex challenges. You’ll enjoy a collaborative and supportive environment with access to the latest technology. Daily, you will contribute to B2B solutions, develop business opportunities and work on new product roadmaps.

        -

         

        -

        Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

        -
      -
      -
      -

      What we’re looking for

      +
      +

      Who we are looking for

      -

       

      -

      Requirements

      -

       

      -
      • You have a Bachelor's or Master's degree OR College/CEGEP Diploma in Software Development, Computer Science, Information Technology or related field (however, if you believe you are up for the challenge with a different degree, you are welcome to apply)
      -

       

      -

      Technical Skills (you have some of the following): 

      -

       

      -
        -
      • You have knowledge of, and the capability and passion to continuously learn, different programming languages (ex. Java, JavaScript, Python, C#.NET, GOLANG)
      • -
      • You are familiar with SAP programming (ABAP) 
      • -
      • You are interested in web development (IE, ReactJS, Angular, VueJS) 
      • -
      • You are familiar with different working methodologies i.e. DevOps, CI/CD, TDD/BDD 
      • -
      • You have a desire to learn how to develop and work with cloud technologies (AWS, Azure, GCP, Kubernetes, Docker, Openshift (OCP) etc.) 
      • -
      • You have an interest in data management (SQL and Non-SQL databases: PostgreSQL, MariaDB, MongoDB, Redis, Cassandra, Oracle, SQL Server) and caching tools (Redis, Red Hat DataGrid, SOSS)
      • -
      • You are open to explore different avenues of software development such as (but not limited to) front-end, back-end or full stack development 
      • -
      • You are willing to learn and adopt security by design in all your development work
      • +

        +
        • 3-5 years of experience in learning and development.
        • Degree or diploma in Business, Human Resources, or related field.
        • Knowledge of adult learning principles, instructional design, and learning evaluation.
        • Program design and learning management experience.
        • Event management/coordination skills.
        • Strong communication, organizational, and analytical abilities.
      -
      -
      -

      Leadership Skills

      -
      +
      +

      Your preferred qualifications

      -

       

      -
        -
      • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
      • -
      • You gain the trust of your teams, being known for demonstrating fairness and respect.
      • -
      • You promote belonging and are flexible, accountable and collaborative
      • -
      • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
      • -
      • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
      • -
      • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
      • -
      • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
      • -
      • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
      • -
      • You are committed to growing your skills and learning from others.
      • -
      • Your leadership qualities have been demonstrated through extracurricular activities and projects.
      • +

        +
        • Regular travel required; average estimated at 25%
        • Accommodations for disabilities in relation to the job selection process are available upon request.
        • Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.
      -
      -
      -

      Applying is simple

      -
      -
      -

       

      -

      Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

      -

       

      -

      1.    Review our programs and indicate up to three role choices in your application.
      2.    Complete your video interview within 48 hours. 
      3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
      4.    If selected from previous step, you will be invited to a virtual panel interview.

       

      -

      Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

      -

       

      -

      Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

      -
      +
      +

      What we offer

      +

      At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

      -

      #EmployeeReferralProgram

       

      Adequate knowledge of French is required for positions in Quebec.

       

      Additional Information:
      Position Type: Management 
      Job Status: Grad Hire 
      Job Location: Canada : Ontario : Mississauga || Canada : New Brunswick : Fredericton || Canada : Nova Scotia : Halifax || Canada : Ontario : Don Mills || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal || Canada : Quebec : Quebec City 
      Work Arrangement: Hybrid
      Application Deadline: 11/03/2024

       

      For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

       

      Please apply directly online to be considered for this role.  Applications through email will not be accepted.

       

      We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

       

      We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

       

      We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
       

      Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

       

      #CampusSoftDev24​

       

      Created: Canada, ON, Mississauga

       

      Bell, one of Canada's Top 100 Employers.

      ",,https://jobs.bell.ca/ca/en/job/BECACA420037EXTERNALENCA/2025-Graduate-Program-Software-Development?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:03.678Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345449110-2025-graduate-program-software-development-at-bell-canada,BECACA420037EXTERNALENCA,draft,2024-10-07T21:25:03.634Z,import-xml-feed:Bell-Canada,,,,,,, -58a75758-c6b6-43b6-86fd-01c8f558b5bb,341330137,CN,"Supervisor, Rail Lubrication",on_site,"Ontario, Canada",2024-09-09T06:36:02.965Z,"
      -

      At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safelyhelping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

      +
      +

      Site Benefits

      -

      Job Summary

      The Supervisor, Rail Lubrication is responsible for extending the life of rail by overseeing the rail lubrication program. The position is accountable for maintenance of existing lubricating devices, lubrication strategy, and management of unionized lubricator maintenance staff. The incumbent develops strategy on how to extend the life of the rail and help maintain an efficient operation.

      Main Responsibilities

      People Management

      · Establish employee objectives

      · Provide mentorship, guidance, support, coaching, and feedback to direct reports

      · Train and mentor new staff

      · Communicate company policies, expectations, standards

      · Be a Subject Matter Expert (SME) on friction management for the Engineering team

      Quality Responsibilities

      · Ensure all rail lubricators are functioning efficiently

      · Develop friction management strategies

      · Perform audits on rail lubricators

      · Perform track inspections with the local Engineering team to address friction management issues

      · Assist and educate the Engineering team on friction management

      Safety Responsibilities

      · Communicate the Company’s safety policies, expectations, standards

      · Perform dynamic audits on unionized employees

      · Comply with the company and department safety targets

      Working Conditions

      The role is primarily performed outdoors in various types of weather and environmental conditions. The role requires being available on-call 24/7 to respond to critical incidents. The role requires frequent travel (80%) to field sites across CN’s network in Canada. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and have good people management skills.

      Requirements

      Experience

      Railway and Management

      · Minimum 2 years of railroad experience in Engineering

      o Experience in track maintenance, construction, or production

      o Experience in Project Management

      o Experience leading unionized employees

      o Experience in data analytics

      o Experience in rail flaw detection, welding, grinding or lubrication*

      -

      *Any experience for these above would be considered an asset, those without may apply

      Education/Certification/Designation

      · High School Diploma or General Education Diploma (GED)

      · Valid Driver’s Licence

      · Track Inspection Guidelines certified

      · Canadian Rail Operating Rules certified

      Competencies

      · Leads by example for safety of all

      · Identifies potential safety and security risks

      · Identified needs and solves problems to create value for all stakeholders

      · Collaborates with others and shares information

      · Sets directions and inspires others

      · Communicates with impact

      · Demonstrates agility and drives change

      Technical Skills/Knowledge

      · Proficient in Microsoft Office (Excel)

      · Ability to understand and apply collective agreements

      · Previous knowledge of rail lubrication*

      *Any knowledge for these above would be considered an asset

      -

      About CN

      -

      -

      CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

      -
      -

      -

      -

      At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

      -

      As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      -
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14190?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-09-16T12:52:04.012Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/341330137-supervisor-rail-lubrication-at-cn,,draft,2024-09-09T06:36:02.965Z,import-xml-feed:Selenium-Scraper,,,,,,, -1df18404-cb03-4b94-acdb-73b8f451c61d,341329389,Thomson Reuters,Enterprise Architect,on_site,"Ontario, Canada",2024-09-09T06:09:02.073Z,"
      JOB DESCRIPTION
      -

      Are you ready to enable application teams and shape the future of our newly established CIO Enterprise Architecture function? Join us at Thomson Reuters and lead the charge towards innovation and collaboration within our diverse platform- and product teams.

      -

      -

      About the Role

      -
      -

      Thomson Reuters conducted a change program to transition from a holding company to an operating company and from a content provider to a content-driven technology company. The objective of the newly created Enterprise Architecture function within the CIO organization is to enable product teams leveraging modern technologies.

      -

      +
      • Hybrid work policy
      • Wellness programs and events
      • On-site cafeteria
      • Parking for electric vehicles
      • Access to private park for employees & their families
      • +
      -

      As an Enterprise Technology Architect you will:

      -
      • Facilitate the creation of architecture standards: Spearhead the establishment of architecture standards, focusing on cloud-modernization leveraging cloud-native technologies. Work across product- and platform teams to shape the creation and alignment of technology stacks.

      -
      • Drive the adoption of architecture standards: Lead the effort to create and promote architecture documentation, fostering a common understanding of the application landscape and facilitating the adoption of best practices. Guide application teams in defining as-is and to-be architectures.

      -
      • Enable Thomson Reuter’s Generative AI (GenAI) journey: Thomson Reuters key focus is to leverage Generative AI to enhance its products as well as its internal ways of working. You will leverage Enterprise Architecture approaches to align GenAI use cases, align data sources and technologies to enable modern Generative AI platforms with reusable skills. Moreover, you will explore Generative AI solutions to enhance ways of working.

      -
      • Support mergers & acquisitions activities: Leverage Enterprise Architecture approaches to support integration activities. Shape the integration of new products, services, and capabilities into the existing portfolio. Learn from diverse and talented teams across different domains and regions and gain valuable insights into the emerging trends and technologies.

      -
      -
      • Enable collaboration and learning: Act as an enabler for the enterprise architecture team and other architects, fostering a culture of collaboration and shared learning.

      -

      -

      About You

      -

      You\'re a fit for the role if your background includes:

      -
      • Change Agent: Demonstrated experience as an empathetic and effective change agent, driving continuous improvement and excellence.

      -
      • Adaptability: Comfortable operating in a dynamic, fast-changing, and innovative environment.

      -
      • Stakeholder Management: Ability to earn trust and drive consensus across different stakeholder groups.

      -
      • Communication Skills: Excellent communication, leadership, and interpersonal skills, capable of engaging and influencing at all levels of the organization.

      -
      • Ownership and Accountability: Take ownership, acting with accountability and urgency in delivering results.

      -
      • Experience and Qualifications: A minimum of 5+ years of experience in enterprise architecture, proficiency in driving architecture documentation approaches, and experience with establishing and running governance bodies within large organizations. Possession of relevant certifications (e.g., AWS, Azure, GCP, SAFe) is advantageous.

      -

      -

      #LI-LP2

      -

      -

      What\'s in it For You?
      You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

      -
        -
      • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

      • -
      • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

      • -
      • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

      • -
      • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

      • -
      • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

      • -
      • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

      • -
      -

      -

      -

      -

      -

      -


      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

      -

      -

      We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

      -

      -

      Accessibility

      -

      -

      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

      -

      -

      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

      -

      -

      -

      Protect yourself from fraudulent job postings click here to know more.

      -

      -

      More information about Thomson Reuters can be found on https://thomsonreuters.com.

      -
      ",,https://careers.thomsonreuters.com/us/en/job/JREQ176317/Enterprise-Architect?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-07T08:32:01.930Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/341329389-enterprise-architect-at-thomson-reuters,,draft,2024-09-09T06:09:02.073Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, +
      +

      Awareness. Unity. Empowerment.

      +

      At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

      +
      +
      ",,https://jobs.magna.com/job/Aurora-Program-Manager%2C-Learning-&-Development-%2814-Month-Contract%29-ONTA-L4G-0G9/585305117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-09T16:41:13.433Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788133-program-manager-learning-development-14-month-contract-at-magna-international,https://jobs.magna.com/job/Aurora-Program-Manager%2C-Learning-&-Development-%2814-Month-Contract%29-ONTA-L4G-0G9/585305117/,draft,2024-10-10T16:41:13.432Z,import-xml-feed:Scrapy-Scraper,,,,,,, 8cbf7525-5c9c-43e6-8e51-f9ba8cc687f3,343569005,BELL CANADA,2025 Graduate Program- Cyber Security,on_site,"Ottawa, Ontario, Canada",2024-09-25T21:25:02.118Z,"

       ​Req Id: 420067


      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

       

      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


      Join us. You belong at Bell. 

       

      Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

       

      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

       

      @@ -6039,7 +6607,7 @@ d8c5fe48-615d-471f-8871-1099921d32a2,344787652,Roche,Data Quality Lead Intern,on

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/113913191762666182-account-executive-midmarket-sales-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-02T08:34:02.040Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787035-account-executive-mid-market-sales-google-customer-solutions-at-google,,draft,2024-10-03T08:34:02.033Z,import-xml-feed:Google-Job-Feed,,,,,,, +
      ",,https://www.google.com/about/careers/applications/jobs/results/113913191762666182-account-executive-midmarket-sales-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787035-account-executive-mid-market-sales-google-customer-solutions-at-google,,draft,2024-10-03T08:34:02.033Z,import-xml-feed:Google-Job-Feed,,,,,,, c71e5e0f-6428-4833-aff7-322815c6366a,344839848,Scotiabank,Commercial Banking Agricultural Analyst Intern Co-op Winter 2025 - Guelph (8 Months),on_site,Canada : Ontario : Guelph,2024-10-03T16:31:05.650Z,"

      @@ -6638,7 +7206,7 @@ b7373f56-4886-491a-a19f-6912943b6338,346256338,Google,"Cloud Developer Associate

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/91957805249897158-cloud-developer-associate-platform-and-infrastructure-professional-services?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-13T08:34:02.510Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/346256338-cloud-developer-associate-platform-and-infrastructure-professional-services-at-google,,draft,2024-10-14T08:34:02.504Z,import-xml-feed:Google-Job-Feed,,,,,,, +
      ",,https://www.google.com/about/careers/applications/jobs/results/91957805249897158-cloud-developer-associate-platform-and-infrastructure-professional-services?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/346256338-cloud-developer-associate-platform-and-infrastructure-professional-services-at-google,,draft,2024-10-14T08:34:02.504Z,import-xml-feed:Google-Job-Feed,,,,,,, a8dd6f39-3f73-49f0-a511-7827d3e02231,345762481,Roche,Computational Biology Intern,on_site,"Ontario, Canada",2024-10-10T08:58:03.129Z,"

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      @@ -6687,7 +7255,7 @@ d11aaab2-045c-4eda-aa1f-12df48d259f4,346258810,CN,"Sr Expert, Financial Planning

      At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

      As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      -
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14593?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-13T08:58:02.003Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258810-sr-expert-financial-planning-at-cn,,draft,2024-10-14T08:58:02.002Z,import-xml-feed:Selenium-Scraper,,,,,,, +
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14593?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258810-sr-expert-financial-planning-at-cn,,draft,2024-10-14T08:58:02.002Z,import-xml-feed:Selenium-Scraper,,,,,,, 8150129c-4f1e-40c7-8af3-6a1e4c97b89e,346258817,CN,"Intern, Operational Technology Security Architecture",on_site,"Ontario, Canada",2024-10-14T08:58:03.016Z,"

      At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
      We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

      @@ -7118,7 +7686,7 @@ b3160e2c-4c43-4fa7-8bc8-d1ca3d44e1b7,346652967,Scotiabank,GTB - Business Deposit

      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

      -
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Specialist-Analyst_R240026676-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-16T08:18:03.083Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346633817-risk-specialist-analyst-at-bmo-financial-group,,draft,2024-10-17T08:18:03.075Z,import-xml-feed:BMO-Job-Feed,,,,,,, +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Specialist-Analyst_R240026676-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-24T08:23:02.741Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346633817-risk-specialist-analyst-at-bmo-financial-group,,draft,2024-10-17T08:18:03.075Z,import-xml-feed:BMO-Job-Feed,,,,,,, ef9fa70c-5c81-49c5-9b78-1235a9d2b590,346634422,CN,"Intern, Industrial Hygienist – Safety",on_site,"Ontario, Canada",2024-10-17T08:58:01.615Z,"

      At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
      We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

      @@ -7411,6 +7979,296 @@ f36c98a8-4f8c-4d12-883a-ce824d06cd8d,343706879,KPMG,"Senior Consultant, Oracle -
    • Fluency in English is required (French is an asset)
    • Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/24170?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-26T16:34:02.837Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343706879-senior-consultant-oracle-data-conversion-developer-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24170?lang=en-us,draft,2024-09-26T16:34:02.829Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"Ontario, Canada",2024-10-21T08:58:03.432Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      +

      +

      +

      The Position

      +

      The Opportunity

      +

      +

      Are you ready to take your passion for Quality Assurance beyond audits and make a real impact on patients\' lives? Join Roche’s Product Development Quality (PDQ) team as a GCP Quality Lead in our GCP Strategy group. You’ll have the chance to play a key role in ensuring our medicines reach patients safely and swiftly by leveraging innovative strategies, data analytics, and strong partnerships with stakeholders. Your work will be central to maintaining transparency with health authorities and driving high standards in our non-clinical, clinical, pharmacovigilance, and computerised systems activities.

      +

      +

      Key Responsibilities:

      +

      +
        +
      • Design and Implement Quality Strategies: Shape and apply quality frameworks to support patient safety and regulatory compliance.

      • +
      • Collaborate with Stakeholders: Build strong relationships to ensure seamless communication across the organisation.

      • +
      • Risk Assessment: Identify and address risk areas proactively, providing strategic insights to leadership.

      • +
      • Lead Audits & Quality Activities: Oversee the preparation and execution of quality audits, ensuring compliance and improvements.

      • +
      • Support Inspections: Lead and contribute to health authority inspections, including preparation and presenting evidence of quality assurance strategies.

      • +
      • Drive Process Improvements: Group individual findings into system-wide improvements and drive strategic changes.

      • +
      • Mentorship & Training: Mentor junior staff and provide training on quality standards and audit processes.

      • +
      +

      +

      Who You Are

      +

      +
        +
      • You are a highly motivated and committed professional with a background in scientific or quality fields, holding extensive experience in GCP systems and processes. Your knowledge of regulatory requirements, strong leadership skills, and project management expertise set you apart.

      • +
      • You have proven critical thinking and problem solving skills (curiosity, creativity and adaptability), with solid relationship management and influence. You ask the challenging questions and are comfortable in difficult conversations.

      • +
      • You bring a problem-solving mindset and are passionate about using data and innovative quality strategies to improve drug development processes.

      • +
      • Experience in supporting regulatory inspections and proficiency in data analysis and visualisation tools are highly valued in this role.

      • +
      +

      +

      Ready for your next challenge? Join our dedicated team and help shape the future of Quality Assurance in Roche.

      +

      +

      Your Application

      +

      +

      Please provide your current compelling CV & Cover Letter. The interview process will consist of a screening video interview, followed by a case study presentation as part of the interview process.

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Our UK Pharmaceutical head office is situated in Welwyn Garden City, Hertfordshire, with beautiful countryside surrounding the area. Supported by major motorways & airports as well as being a 30 minute train ride to London, access is easy. Our award-winning office, known as Hexagon Place, was opened in 2005 and provides a modern, flexible working environment with facilities that are second-to-none. Around 2,000 people work at our Welwyn office in Global Early Development (pRED), Global Product Development (PD), Commercial (Rx) and our Corporate functions.

      +

      +

      Roche offer a competitive salary plus the excellent benefits you would expect from a blue-chip organisation. There is a fully equipped gym on-site, a library and information centre, and an active sports and social club. We also have a subsidised staff restaurant providing foods to cater for every taste throughout the day. At the heart of the building is an informal meeting area known as The Street which features a coffee shop, snack machine and cashpoint. A second building on-site, called The Hub, contains modern meeting room and conference facilities. Roche promotes personal well-being and work-life balance. Therefore, flexible working options will be considered for all roles at Roche UK. Roche is committed to creating a diverse & inclusive environment. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche.

      +

      +

      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

      +
      ",,https://careers.roche.com/global/en/job/202409-124758/GCP-Strategy-Lead,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103002-gcp-strategy-lead-at-roche,,draft,2024-10-21T08:58:03.432Z,import-xml-feed:Selenium-Scraper,,,,,,, +8b359d24-c649-4520-a313-c86832b57ee8,347103003,Roche,End-to-End Support Framework Regional Service Manager,on_site,"Ontario, Canada",2024-10-21T08:58:03.487Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      +

      +

      +

      The Position

      +

      The End-to-End Support Framework (E2E SF) is a framework that is composed of a support structure, processes and tools. It manages and constantly evolves end user\'s end-to-end interactions, leveraging the best from our support partners, enterprise systems, and solutions.

      +

      +

      As E2E SF Regional Service Manager, act as the operational interface between E2E SF global team and the E2E SF customers/stakeholders. Drive innovation and continuous improvement of E2E SF related processes and procedures within the region. End-to-end coordination and collaboration of cross functional / integrated working of teams. Responsible for oversight, monitoring and governance of all E2E SF processes and procedures. You will also ensure precise and efficient service delivery through E2E Support Framework that meets or exceeds performance goals / SLAs.

      +

      +

      The key responsibilities include:

      +
        +
      • Responsible for oversight, monitoring and compliance of all E2E SF processes and procedures within the region

      • +
      • Ensure precise and efficient service delivery through E2E Support Framework that meets or exceeds performance goals / SLAs for optimal day-to-day operational performance

      • +
      • Work together with ASPIRE Operations teams to assess the impact of issues and to assist in determining appropriate courses of action

      • +
      • Collaborate with Regional Service Delivery / Operations teams by providing support and consultation related to E2E Support Framework

      • +
      • Identify and implement processes to improve operational efficiencies and improve E2E SF customer satisfaction

      • +
      • Act as the operational interface between E2E SF Global team and the E2E SF Stakeholders and the support partners regionally/globally

      • +
      • Drive innovation and continuous improvement of E2E SF-related processes and procedures, tools and Ways of working in co-.creation with the support partners

      • +
      • Design, develop, and maintain E2E SF dashboards, KPI reports, and metrics in the ServiceNow Platform

      • +
      +

      +

      Required Skill and Expertise - Senior Specialist Level

      +

      You have the ability to see the interrelationship across ""the big picture"" and understand its dependency with other activities within and outside the E2E SF scope. You have excellent oral and written communication skills, as well as presentation abilities. You have demonstrated success communicating across a variety of audiences, including business partners and informatics technologists (both up and down the organization). You are open-minded attitude with proactive mindset that also dries curiosity in to explore and try new ideas and tools

      +

      +

      Further requirements:

      +
        +
      • 10 years experience of operational service management in a similar environment

      • +
      • 5 years of experience working with the ServiceNow platform

      • +
      • Bachelor/Master\'s degree either in Business administration or any Technical field

      • +
      • Good Lucidchart, GDrive, Google Suite, JIRA and Smartsheet knowledge

      • +
      • Good understanding of Service Level Agreement (SLA) in Operations

      • +
      • In-depth understanding of ServiceNow and IT service management (ITSM) processes, IT operations, and related industry frameworks (e.g., ITIL).

      • +
      • Demonstrated ability to gather requirements, analyze complex business processes, and design solutions that meet the E2E SF customer needs.

      • +
      +

      +

      This is a temporary role until 31.12.2027.

      +

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      +

      The Roche Services & Solutions as well as People Support Solutions organisations located in Kuala Lumpur provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the APAC region. Today Roche employs altogether around 1100 employees in Malaysia.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202404-109044/End-to-End-Support-Framework-Regional-Service-Manager,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347103003-end-to-end-support-framework-regional-service-manager-at-roche,,draft,2024-10-21T08:58:03.487Z,import-xml-feed:Selenium-Scraper,,,,,,, +8e7fd288-c25e-4f3b-a1b2-297954ac9166,347103004,Roche,Senior HPC Engineer,on_site,"Ontario, Canada",2024-10-21T08:58:03.522Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      +

      +

      +

      The Position

      +

      Mississauga (Canada)
      Madrid

      +

      Basel

      And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

      +

      +
      As a Senior HPC (High Performance Computing) Engineer, you will be part of the High Performance Computing section of Roche Informatics, responsible for implementing, operating and evolving computing and data IT infrastructure solutions, supporting our Research and Development organizations to enable science in Roche.

      +

      +

      The position will involve working within product teams to deliver the best class scientific computing platforms, in partnership with our scientists and service providers. The position requires knowledge of high performance computing platforms, cluster configurations, workload managers, Linux system administration, scripting and a DevOps approach to platform administration.

      The Opportunity:

      +
        +
      • Engages in and improves the whole lifecycle of platforms and services by applying software engineering principles to build and manage large scale IT infrastructure products and services (both on-premises or in public cloud) optimizing: a) services reliability, availability, capacity and performance and eliminating work through automation b) software development and deployment by providing self-service tools and APIs for developers..
      • +
      • Designs, implements and maintains CI/CD pipelines, enabling developers to easily build, test, and deploy their applications.
      • +
      • Ensures IT infrastructure services reach and maintain the agreed service level indicators (SLIs), objectives (SLOs), agreements (SLAs) in compliance with QA requirements.
      • +
      • Contributes identifying critical metrics used to establish service level indicators (SLIs), objectives (SLOs), agreements (SLAs).
      • +
      • Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
      • +
      • Responsible for availability, tuning, performance, efficiency, change and configuration management, monitoring, emergency response, and capacity planning.
      • +
      • Manages ITSM process(es) and track resolution for reporting and resolving incidents, problems, changes, requests and releases.
      • +
      • Act as an analyst by transforming complex customers and developers needs into specific technical requirements.
      • +
      +


      Who you are:

      +
        +
      • 6-9 years of experience of working in one or more multinational work environments (e.g. healthcare industry experience is a plus) as a senior systems or software Engineer with minimum Bachelor’s degree; Master’s degree preferred.
      • +
      • Background in Linux/Unix Server technologies (RedHat, CentOS, Ubuntu plus Satellite / Foreman); Linux/Unix High-Performance Computing (HPC) Clusters configurations and workload managers (ie IBM LSF, SLURM).
      • +
      • Wide experience applying infrastructure automation tools, infrastructure as code, scripting languages, logging, monitoring and observability, infrastructure configuration, and applications; Infrastructure as code: AWX, Ansible, Jenkins, Puppet, Chef, SaltStack or equivalents.
      • +
      • Coding and scripting: PHP, Python, YAML, shell, Perl and/or Ruby or equivalents; distributed version control and source code management tools: GIT, bitbucket, github, gitlab or equivalents.
      • +
      • Monitoring and observability (e.g. LogicMonitor, Nagios, Ganglia, ELK).
      • +
      • Experience working according to DevOps principles, processes and tools as well as experience applying design thinking, lean, prioritization and agile methodologies to evolve services offered to partners.
      • +
      +

      +
      This role is not open for relocation support.

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202403-107564/Senior-HPC-Engineer,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103004-senior-hpc-engineer-at-roche,,draft,2024-10-21T08:58:03.522Z,import-xml-feed:Selenium-Scraper,,,,,,, +9efe3f62-4765-4be9-89cc-71c3978cc6da,347205912,Borealis AI,Staff Researcher,on_site,"Ontario, Canada",2024-10-22T08:43:02.622Z,"
      +

      What\'s the opportunity?

      +

      RBC Borealis is looking for a Staff Researcher in Generative AI. The role focuses on technical leadership with the goal of delivering Generative AI-based products for the financial services industry. The candidate will play a critical role in shaping and leading our Generative AI technical work, reputation, and practice. The role includes engagement with technical and business stakeholders to shape and deliver on project roadmaps. Mentorship and contributions to talent development is a core component of the role.

      +

      Your responsibilities include:

      +
        +
      • Technical Leadership. Provide technical leadership and scientific guidance to Generative AI projects, working within and across teams;
      • +
      • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
      • +
      • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
      • +
      • Research Leadership. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
      • +
      • Mentorship. Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in Generative AI research.
      • +
      +

      You’re our ideal candidate if you have:

      +
        +
      • A Ph.D. degree in Computer Science or a related technical field;
      • +
      • Expertise in machine learning, specifically large language models (LLMs), self-supervised learning, and AI safety (fairness, interpretability, human-centric AI)
      • +
      • 5 years of experience as a machine learning researcher in a product-centric environment or equivalent experience;
      • +
      • A track record of mentorship including junior researchers and engineers and experienced high-performance researchers
      • +
      • Experience delivering high-impact machine learning products
      • +
      • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
      • +
      • The ability to formulate and drive a research project independently;
      • +
      • Exceptional communication skills;
      • +
      • A history of high quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
      • +
      +

      What’s in it for you?

      +
        +
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • +
      • Leaders who support your development through coaching and managing opportunities;
      • +
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • +
      +

      About RBC Borealis

      +

      RBC Borealis, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

      +
      ",,https://www.borealisai.com/careers/?gh_jid=7679719002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-21T08:43:02.642Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347205912-staff-researcher-at-borealis-ai,,draft,2024-10-22T08:43:02.622Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +330e5b92-a911-49a6-b8ce-54b5ae747b16,347205876,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-22T08:34:02.743Z,"
      +
      +

      Field Solutions Developer III, Generative AI, Google Cloud

      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +corporate_fareGoogleplaceMontreal, QC, Canada; Waterloo, ON, Canada; +2 more; +1 more
      +
      +
      +
      +bar_chartAdvanced +
      +
      +

      Advanced

      +
      Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
      +
      +
      +
      +
      +
      +Apply
      +
      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +
      +
      +
      info_outline
      +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Montreal, QC, Canada; Waterloo, ON, Canada; Toronto, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Montreal, QC, Canada; Waterloo, ON, Canada; Toronto, ON, Canada. +
      + +
      +

      Minimum qualifications:

      +
        +
      • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
        +
      • +
      • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
        +
      • +
      • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
        +
      • +
      • Experience delivering technical presentations and leading business value sessions.
        +
      • +
      +

      Preferred qualifications:

      +
        +
      • Master\'s degree in Computer Science, Engineering, or a related technical field.
        +
      • +
      • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
        +
      • +
      • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
        +
      • +
      • Experience with distributed training and optimizing performance versus costs.
        +
      • +
      • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
        +
      • +
      • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
        +
      • +
      +
      +
      +

      About the job

      +

      As a Generative AI Field Solutions Developer, you will play a pivotal role in supporting our Google Cloud business organization. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.

      +

      You will leverage the Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings.

      +

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      +
      +
      +

      Responsibilities

      +
        +
      • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
        +
      • +
      • Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
        +
      • +
      • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
        +
      • +
      • Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
        +
      • +
      • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
        +
      • +
      +
      +
      +

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      +

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      +

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      +

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/105878128559039174-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-21T08:34:02.762Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347205876-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,draft,2024-10-22T08:34:02.743Z,import-xml-feed:Google-Job-Feed,,,,,,, 3dc8507f-1573-4cbd-8b76-689750c73298,346634429,NVIDIA,"Verification Intern, Memory Controller - Summer 2025",on_site,"Ontario, Canada",2024-10-17T08:58:03.196Z,"
      Verification Intern, Memory Controller - Summer 2025 page is loaded
      @@ -7425,7 +8283,7 @@ f36c98a8-4f8c-4d12-883a-ce824d06cd8d,343706879,KPMG,"Senior Consultant, Oracle -
      time typeFull time
      -
      posted onPosted 4 Days Ago
      +
      posted onPosted 7 Days Ago
      job requisition idJR1988856
      @@ -7471,143 +8329,344 @@ f36c98a8-4f8c-4d12-883a-ce824d06cd8d,343706879,KPMG,"Senior Consultant, Oracle -
      ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Verification-Intern--Memory-Controller---Summer-2025_JR1988856?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-11-16T08:58:03.197Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634429-verification-intern-memory-controller-summer-2025-at-nvidia,,draft,2024-10-17T08:58:03.196Z,import-xml-feed:Selenium-Scraper,,,,,,, -d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"Ontario, Canada",2024-10-21T08:58:03.432Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      The Opportunity

      -

      -

      Are you ready to take your passion for Quality Assurance beyond audits and make a real impact on patients\' lives? Join Roche’s Product Development Quality (PDQ) team as a GCP Quality Lead in our GCP Strategy group. You’ll have the chance to play a key role in ensuring our medicines reach patients safely and swiftly by leveraging innovative strategies, data analytics, and strong partnerships with stakeholders. Your work will be central to maintaining transparency with health authorities and driving high standards in our non-clinical, clinical, pharmacovigilance, and computerised systems activities.

      -

      -

      Key Responsibilities:

      -

      +fef0a299-c9ba-4231-af1d-d544c43d2425,347469166,TELUS,Senior Data Analyst,on_site,"Ontario, Canada",2024-10-24T08:58:02.341Z,"
      +
      +

      Join our team and what we\'ll accomplish together

      +
      +

      +

      The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

      +

      +

      We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

      +

      +

      Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

      +

      +

      You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

      +

      +

      As a Senior Data Analyst on the team, you will combine your expert knowledge of data analytics and visualization with business acumen to create reporting tools to facilitate data exploration, analytics, to enable data-driven decision making for business stakeholders.

      +
      +
      +
      +

      What you\'ll do

      +
      +

        -
      • Design and Implement Quality Strategies: Shape and apply quality frameworks to support patient safety and regulatory compliance.

      • -
      • Collaborate with Stakeholders: Build strong relationships to ensure seamless communication across the organisation.

      • -
      • Risk Assessment: Identify and address risk areas proactively, providing strategic insights to leadership.

      • -
      • Lead Audits & Quality Activities: Oversee the preparation and execution of quality audits, ensuring compliance and improvements.

      • -
      • Support Inspections: Lead and contribute to health authority inspections, including preparation and presenting evidence of quality assurance strategies.

      • -
      • Drive Process Improvements: Group individual findings into system-wide improvements and drive strategic changes.

      • -
      • Mentorship & Training: Mentor junior staff and provide training on quality standards and audit processes.

      • +
      • Tackle complex data analysis challenges, working with big data to uncover key insights that drive business outcomes.
      • +
      • Write SQL code involving multiple tables and aggregations, ensuring optimal query performance.
      • +
      • Design and develop robust data models that effectively organize and structure data to support complex queries, reporting, and analytics. Ensure models are scalable, maintainable, and aligned with business requirements.
      • +
      • Lead the development of visually compelling, interactive dashboards and reports using tools like Looker, DOMO, and Tableau. Transform raw data into easy-to-understand insights that directly impact decision-making. Create user-friendly data visualizations that communicate complex information effectively to a diverse audience, from executives to operational teams.
      • +
      • Engineer end-to-end data solutions primarily on GCP services like BigQuery, GCS, Cloud Composer, and Looker, ensuring seamless integration and performance.
      • +
      • Engage with various business stakeholders to gather requirements, develop dashboards and reports, and ensure the delivery of actionable insights.
      • +
      • Lead a team of developers towards the implementation of operational and partnership dashboards using Looker, to help the leadership make informed data-driven decisions
      -

      -

      Who You Are

      -

      +

      +

      +
      +
      +
      +

      What you bring

      +
      +

        -
      • You are a highly motivated and committed professional with a background in scientific or quality fields, holding extensive experience in GCP systems and processes. Your knowledge of regulatory requirements, strong leadership skills, and project management expertise set you apart.

      • -
      • You have proven critical thinking and problem solving skills (curiosity, creativity and adaptability), with solid relationship management and influence. You ask the challenging questions and are comfortable in difficult conversations.

      • -
      • You bring a problem-solving mindset and are passionate about using data and innovative quality strategies to improve drug development processes.

      • -
      • Experience in supporting regulatory inspections and proficiency in data analysis and visualisation tools are highly valued in this role.

      • +
      • 6+ years in roles such as Data Analyst, Business Intelligence Analyst, Data Engineer, or similar, with a strong focus on SQL and data modeling
      • +
      • Expertise in creating and managing interactive dashboards and reports using leading BI tools such as Looker, DOMO, and Tableau. Ability to transform data into actionable insights for business stakeholders
      • +
      • Strong experience with relational database systems, particularly BigQuery, Oracle, and SQL Server. Demonstrated ability to write complex SQL queries and optimize database performance
      • +
      • Strong ability to identify requirements and build reporting solutions in collaboration with stakeholders
      • +
      • Exceptional attention to detail, with the ability to prioritize, multi-task, and meet tight deadlines in a fast-paced environment
      • +
      • Proven track record of driving data-based decisions in a consultative style with executive and senior management stakeholders
      +


      Great-to-haves

      +

      +
        +
      • Post-secondary degree in Computer Science, Engineering, or a related field
      • +
      • 5 years of experience in the telecom industry
      • +
      • Certifications in Data Engineering or Business Intelligence technologies
      • +
      +

      +

      +
      +
      +
      ",,https://careers.telus.com/job/Toronto-Senior-Data-Analyst-ON-M5J-2V5/584577917/,feed-importer@jobboard.io,,,,2024-11-23T08:58:02.341Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469166-senior-data-analyst-at-telus,,draft,2024-10-24T08:58:02.341Z,import-xml-feed:Selenium-Scraper,,,,,,, +a337be19-690b-427b-b560-b38593e0b76e,347469167,CN,"Intern, Revenue Management Accounting",on_site,"Ontario, Canada",2024-10-24T08:58:02.512Z,"
      +

      At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
      We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

      +

      +

      +

      Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Revenue Management Accounting position in Montreal, QC from May – August 2025.

      +

      Job Summary

      +

      The Intern, Revenue Management Accounting is responsible for supporting the Non-Freight Revenue and Recoverable team working closely with other CN’s Accounting Departments (e.g. Accounts Payables, Accounts Receivables, Financial Reporting and Accounting Development), CN’s Mechanical Department and CN’s Engineering Department. The Accounting Department is a cross-functional team of over 200 professionals responsible for accounting operations and financial reporting. The team ensures the highest level of integrity for the organization’s accounting records and is engaged with every function to control costs, maximize revenue and cash flow, and support CN in achieving its financial objectives.

      +

      Major Responsibilities

      +
        +
      • +Participate in special projects and system testing +
      • +
      • +Perform various analyses and reconciliations +
      • +
      • +Identify opportunities for process improvements +
      • +
      +

      Requirements

      +
        +
      • +Fluently bilingual both written and verbal (English, French) +
      • +
      • +Excellent communication skills +
      • +
      • +Planning and organization skills +
      • +
      • +Data analysis and investigative skills +
      • +
      • +Deadline focused and results oriented +
      • +
      • +Knowledge of Microsoft Office (Excel, Word, Access)* +
      • +
      +

      Education

      +
      • +Working towards a College or Bachelor’s Degree in Finance, Accounting or equivalent +
      +

      *Any experience/education/skills/knowledge for these above would be considered as an asset

      +


      -

      Ready for your next challenge? Join our dedicated team and help shape the future of Quality Assurance in Roche.

      -

      -

      Your Application

      -

      -

      Please provide your current compelling CV & Cover Letter. The interview process will consist of a screening video interview, followed by a case study presentation as part of the interview process.

      -

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      -

      -

      Our UK Pharmaceutical head office is situated in Welwyn Garden City, Hertfordshire, with beautiful countryside surrounding the area. Supported by major motorways & airports as well as being a 30 minute train ride to London, access is easy. Our award-winning office, known as Hexagon Place, was opened in 2005 and provides a modern, flexible working environment with facilities that are second-to-none. Around 2,000 people work at our Welwyn office in Global Early Development (pRED), Global Product Development (PD), Commercial (Rx) and our Corporate functions.

      -

      -

      Roche offer a competitive salary plus the excellent benefits you would expect from a blue-chip organisation. There is a fully equipped gym on-site, a library and information centre, and an active sports and social club. We also have a subsidised staff restaurant providing foods to cater for every taste throughout the day. At the heart of the building is an informal meeting area known as The Street which features a coffee shop, snack machine and cashpoint. A second building on-site, called The Hub, contains modern meeting room and conference facilities. Roche promotes personal well-being and work-life balance. Therefore, flexible working options will be considered for all roles at Roche UK. Roche is committed to creating a diverse & inclusive environment. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche.

      -

      -

      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

      -
      ",,https://careers.roche.com/global/en/job/202409-124758/GCP-Strategy-Lead,feed-importer@jobboard.io,,,,2024-11-20T08:58:03.432Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103002-gcp-strategy-lead-at-roche,,draft,2024-10-21T08:58:03.432Z,import-xml-feed:Selenium-Scraper,,,,,,, -8b359d24-c649-4520-a313-c86832b57ee8,347103003,Roche,End-to-End Support Framework Regional Service Manager,on_site,"Ontario, Canada",2024-10-21T08:58:03.487Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      The End-to-End Support Framework (E2E SF) is a framework that is composed of a support structure, processes and tools. It manages and constantly evolves end user\'s end-to-end interactions, leveraging the best from our support partners, enterprise systems, and solutions.

      +

      +

      About CN

      CN is a premium railroad that sustainably generates value for ourcustomers, shareholders, employees, and stakeholders with an unwaveringcommitment to safety and service. Essential to the economy, to the customers,and to the communities it serves, CN safely transports more than 300 milliontons of natural resources, manufactured products, and finished goods throughoutNorth America every year. CN\'s network connects Canada’s Eastern and Westerncoasts with the U.S. South through an 18,800-mile rail network. CN and itsaffiliates have been contributing to community prosperity and sustainable tradesince 1919. CN powers the North American economy and is committed to programssupporting social responsibility and environmental stewardship.

      +

      +

      At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

      +

      As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      +

      +
      ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14633?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-23T08:58:02.512Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469167-intern-revenue-management-accounting-at-cn,,draft,2024-10-24T08:58:02.512Z,import-xml-feed:Selenium-Scraper,,,,,,, +401a900f-22d4-4c7e-9061-4b5201bbba7d,347469168,Ada,Senior Security Operations Specialist,on_site,"Ontario, Canada",2024-10-24T08:58:03.121Z,"
      +
      +
      +
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      +
      +
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +
      +
      +
      +

      We’re looking for a Senior Security Operations Specialist to join our team! You will play a critical role in both Ada\'s operational security and product security by leveraging your deep understanding of security principles, practices, and cutting-edge technologies.

      +

      Working closely with the Manager of Security Operations, your primary responsibility will be leading a large portion of day to day security operations. You will act as both an operator and administrator for key security systems, ensuring robust visibility and management of various security functions such as IDS, EDR, MDR, TPRM, SAST/DAST, SSPM, etc. On some days this will involve responding to alerts, using your expertise to prioritize those that require urgency, and working with relevant teams to address true positives. On other days you might spend your time optimizing these tools to reduce false positives or further their efficiency.

      +

      Additionally, you will act as a key contributor to security-related projects such as exploring new tools, re-architecting deployments, coordinating external penetration testing, implementing procedures to enhance our security posture. You will also provide technical security guidance during product development, participate in regular vulnerability scans, and collaborate with stakeholders to address potential weaknesses. As a security champion, you will advocate for best practices, empower teams to prioritize security, and play a key role in fostering a culture of security within Ada.

      +

      About You

      +
        +
      • +Operational Security Experience: 5+ years of experience in a dedicated security role involving a wide variety of operational security (e.g. code security, application security, threat detection, vulnerability scanning, compliance audits, policy management, vendor risk management, etc.), with emphasis on managing and responding to security events.
      • +
      • Cloud Operations Experience: 3+ years of experience working within and applying your security expertise to cloud environments (AWS, Azure, GCP), particularly within containerized, application development environments.
      • +
      • +Initiative and Drive: You take the initiative to identify areas for improvement and proactively lead efforts to enhance security processes and systems. You’re not just reactive to issues but are always looking for ways to innovate and strengthen our security program.
      • +
      • +Analytical Problem Solver: You aren’t afraid of complex challenges, and approach problems methodically, using your expertise to identify, diagnose, and ultimately resolve them.
      • +
      • +Communication and Collaboration: You have strong communication abilities, with a proven ability to collaborate with internal and external stakeholders with varying technical knowledge, and sometimes conflicting objectives.
      • +
      • +(Preferred) Relevant Certifications: Professional certifications such as CISSP, CCSP, or CEH that validate expertise in cybersecurity operations.
      • +
      +

      Outcomes

      +
        +
      • +Security Tool Management: Operate and administer key security systems and tools (e.g., IDS, EDR, DAST, etc.) to maintain and improve Ada’s operational security, with a focus on automation and comprehensive threat detection.
      • +
      • +Threat Monitoring and Incident Response: Continuously monitor and analyze data sources to detect security threats, participate in incident investigations, and contribute to 24/7/365 incident response.
      • +
      • +Proactive Security Engagement: Provide security expertise during product development, conduct vulnerability scans, and recommend improvements to prevent and address potential security weaknesses.
      • +
      • +Collaboration and Stakeholder Engagement: Build and maintain relationships with internal and external stakeholders, collaborate on security initiatives, and support project work aimed at enhancing Ada\'s security posture.
      • +
      • +Security Advocacy and Compliance: Act as a security champion within Ada, promoting best practices, participating as a security subject matter expert, and maintaining readiness for 24/7/365 security response.
      • +
      +

      Benefits

      +
        +
      • Competitive salary and generous stock option plan
      • +
      • Unlimited vacation
      • +
      • Wellness account
      • +
      • Extended health coverage
      • +
      • Dental/optical/travel insurance
      • +
      • Life insurance
      • +
      • Employee and family assistance plan
      • +
      +

      Perks

      +
        +
      • Flexible work schedule
      • +
      • Remote-first, in-person friendly work environment with WFH budget
      • +
      • Paid parental leave for Canadian and U.S. residents
      • +
      • Development opportunities
      • +
      +

      The expected salary range for this position is $110,000 to $150,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

      +

      #LI-NS1

      +
      +
      +

      About Us

      +

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      +

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      +

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      +

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      +

      +

      +
      +
      ",,https://job-boards.greenhouse.io/ada18/jobs/4497558007,feed-importer@jobboard.io,,,,2024-11-23T08:58:03.122Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469168-senior-security-operations-specialist-at-ada,,draft,2024-10-24T08:58:03.121Z,import-xml-feed:Selenium-Scraper,,,,,,, +6323e718-7e41-4203-89d3-56fa48dd8971,347469006,Accenture,Senior AEM Architect,on_site,"Toronto, ON, Canada",2024-10-24T08:44:02.095Z,"
      +

      Job Description

      +
      +

      We Are:

      +

      Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

      +


      There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space.

      -

      As E2E SF Regional Service Manager, act as the operational interface between E2E SF global team and the E2E SF customers/stakeholders. Drive innovation and continuous improvement of E2E SF related processes and procedures within the region. End-to-end coordination and collaboration of cross functional / integrated working of teams. Responsible for oversight, monitoring and governance of all E2E SF processes and procedures. You will also ensure precise and efficient service delivery through E2E Support Framework that meets or exceeds performance goals / SLAs.

      +

      You Are:

      +

      We are looking for a highly effective Senior AEM Architect to join our team. This person will utilize best practices and methodologies to design and implement the best solution for our clients. This key member of our team contributes to the entire software development lifecycle including analysis, requirement specification, use case and data modeling, development, testing, and implementation as well as educating and leading others in the form of code reviews, workshops, and documentation.

      -

      The key responsibilities include:

      +

      Responsibilities:

      +
      • Lead large scale AEM technical requirements

      • Responsible for supporting any new business development activities or RFPs

      • Technical grooming for functional stories and create tech design documentation for development team

      • Responsible for providing platform governance and operational guidelines following best practices in multi-tenant environment

      • Support development team in designing and troubleshooting any environment issues

      • Impact analysis and effort estimations on change request

      • Assesses work effort for time to complete estimates

      • Build multi-view architecture diagrams for different stakeholders and meeting their prospects

      • Interact with client technical leads and architects in support of physical and integration architecture

      • Interact with engagement and project managers to ensure proper adherence to SDLC and to conduct project risk identification and mitigation planning

      • Participates in the software design, software development, and package implementation using standard WCM or eCommerce platforms such as Adobe AEM (CQ), SDL Tridion, hybris and Oracle/ATG

      • Provides advanced-level development, testing, debugging and documentation skills

      • Provides oversight, planning, and technical guidance to ensure successful delivery of software projects

      • Ensures software developed adheres to best practices and quality standards through code and design reviews

      • Vendor management with AMS team

      • +
      show more show less
      +
      +
      +

      Qualifications

      +
      +
      +

      Basic Qualifications:

        -
      • Responsible for oversight, monitoring and compliance of all E2E SF processes and procedures within the region

      • -
      • Ensure precise and efficient service delivery through E2E Support Framework that meets or exceeds performance goals / SLAs for optimal day-to-day operational performance

      • -
      • Work together with ASPIRE Operations teams to assess the impact of issues and to assist in determining appropriate courses of action

      • -
      • Collaborate with Regional Service Delivery / Operations teams by providing support and consultation related to E2E Support Framework

      • -
      • Identify and implement processes to improve operational efficiencies and improve E2E SF customer satisfaction

      • -
      • Act as the operational interface between E2E SF Global team and the E2E SF Stakeholders and the support partners regionally/globally

      • -
      • Drive innovation and continuous improvement of E2E SF-related processes and procedures, tools and Ways of working in co-.creation with the support partners

      • -
      • Design, develop, and maintain E2E SF dashboards, KPI reports, and metrics in the ServiceNow Platform

      • +
      • 7+ years experience designing Adobe Experience Manager solutions

      • +
      • 5+ years experience leading teams and technical project requirements

      • +
      • 5+ years of hands on Java & J2EE/JEE software development experience

      • +
      • 3+ years of experience designing solutions with related techs (Target, Analytics, AEP etc…)

      • +
      • University degree or equivalent work experience

      • +
      • Bilingual communications in French and English are required for this position
      • +
      • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

      -

      Required Skill and Expertise - Senior Specialist Level

      -

      You have the ability to see the interrelationship across ""the big picture"" and understand its dependency with other activities within and outside the E2E SF scope. You have excellent oral and written communication skills, as well as presentation abilities. You have demonstrated success communicating across a variety of audiences, including business partners and informatics technologists (both up and down the organization). You are open-minded attitude with proactive mindset that also dries curiosity in to explore and try new ideas and tools

      -

      -

      Further requirements:

      +

      Nice to Have:

        -
      • 10 years experience of operational service management in a similar environment

      • -
      • 5 years of experience working with the ServiceNow platform

      • -
      • Bachelor/Master\'s degree either in Business administration or any Technical field

      • -
      • Good Lucidchart, GDrive, Google Suite, JIRA and Smartsheet knowledge

      • -
      • Good understanding of Service Level Agreement (SLA) in Operations

      • -
      • In-depth understanding of ServiceNow and IT service management (ITSM) processes, IT operations, and related industry frameworks (e.g., ITIL).

      • -
      • Demonstrated ability to gather requirements, analyze complex business processes, and design solutions that meet the E2E SF customer needs.

      • +
      • AEM Architect Certified

      • +
      • Experience working with WCM platforms and tools such as SDL Tridion, Sitecore, Fatwire, CrownPeak, hybris, Oracle/ATG Demandware, Intershop and IBM WebSphere Commerce

      • +
      • Experience in multiple web technologies including: XML, HTML, XHTML, XML, CSS, AJAX / JavaScript, Web Services/SOAP, SQL

      • +
      • Experience with one or more Java concepts and patterns including: Java/J2EE, JSP, Spring, Sling, JMS, JUnit, AOP, MVC, Eclipse

      • +
      • Experience and full lifecycle involvement with both waterfall and Agile methodologies

      • +
      • Experience with multiple source control systems: CVS, SVN, Git

      • +
      • Working knowledge of multiple web and application tier technologies: Tomcat, WebSphere, Weblogic, Apache Http, Spring tcServer, Solr, open source packages Experience with project automation technology: Jenkins, Continuum, Hudson, automated unit testing, Maven, Ant Experience with the performance tuning and analysis: thread dump analysis, heap dump analysis, profilers, performance troubleshooting

      • +
      • Experience with web application design and analysis, design patterns, and object oriented design

      • +
      • Experience with multiple Unix/Linux operating systems

      • +
      +
        +
      • Ability and willingness to split time between management and hands-on software design, development, and review

      • +
      • Strong leadership skills, including the ability to deliver constructive feedback and the ability to lead by example

      • +
      • Hands on experience estimating development tasks

      • +
      • Ability to anticipate issues and formulate remedial actions

      • +
      • Experience managing and/or being managed by remote teams/offices

      • +
      • Excellent verbal and non-verbal communication skills

      • +
      • Experience in a consulting environment

      • +
      • Demonstrated leadership in professional setting; either military or civilian

      • +
      • Demonstrated teamwork and collaboration in a professional setting; either military or civilian

      +
      +

      Locations

      +
      Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
      +
      +
      +

      +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

      +
      +

      Our Commitment to Inclusion & Diversity

      +

      At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

      +

      Requesting An Accommodation

      +

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      +

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      +

      Other Employment Statements

      +

      It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

      +

      Job candidates are not required to disclose any offence for which a pardon has been granted.

      +
      +
      +
      Share
      +
      Share
      +
      Job Link:
      Copy
      +
      +
      +
      +
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00241517_en&title=Senior%20AEM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-23T08:44:02.102Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469006-senior-aem-architect-at-accenture,,draft,2024-10-24T08:44:02.095Z,import-xml-feed:Accenture-Job-Feed,,,,,,, +6323e718-7e41-4203-89d3-56fa48dd8971,347469006,Accenture,Senior AEM Architect,on_site,"Toronto, ON, Canada",2024-10-24T08:44:02.095Z,"
      +

      Job Description

      +
      +

      We Are:

      +

      Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

      +


      There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space.

      -

      This is a temporary role until 31.12.2027.

      +

      You Are:

      +

      We are looking for a highly effective Senior AEM Architect to join our team. This person will utilize best practices and methodologies to design and implement the best solution for our clients. This key member of our team contributes to the entire software development lifecycle including analysis, requirement specification, use case and data modeling, development, testing, and implementation as well as educating and leading others in the form of code reviews, workshops, and documentation.

      +

      Responsibilities:

      +
      • Lead large scale AEM technical requirements

      • Responsible for supporting any new business development activities or RFPs

      • Technical grooming for functional stories and create tech design documentation for development team

      • Responsible for providing platform governance and operational guidelines following best practices in multi-tenant environment

      • Support development team in designing and troubleshooting any environment issues

      • Impact analysis and effort estimations on change request

      • Assesses work effort for time to complete estimates

      • Build multi-view architecture diagrams for different stakeholders and meeting their prospects

      • Interact with client technical leads and architects in support of physical and integration architecture

      • Interact with engagement and project managers to ensure proper adherence to SDLC and to conduct project risk identification and mitigation planning

      • Participates in the software design, software development, and package implementation using standard WCM or eCommerce platforms such as Adobe AEM (CQ), SDL Tridion, hybris and Oracle/ATG

      • Provides advanced-level development, testing, debugging and documentation skills

      • Provides oversight, planning, and technical guidance to ensure successful delivery of software projects

      • Ensures software developed adheres to best practices and quality standards through code and design reviews

      • Vendor management with AMS team

      • +
      show more show less
      +
      +
      +

      Qualifications

      +
      +
      +

      Basic Qualifications:

      +
        +
      • 7+ years experience designing Adobe Experience Manager solutions

      • +
      • 5+ years experience leading teams and technical project requirements

      • +
      • 5+ years of hands on Java & J2EE/JEE software development experience

      • +
      • 3+ years of experience designing solutions with related techs (Target, Analytics, AEP etc…)

      • +
      • University degree or equivalent work experience

      • +
      • Bilingual communications in French and English are required for this position
      • +
      • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

      • +

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      -

      -

      -

      The Roche Services & Solutions as well as People Support Solutions organisations located in Kuala Lumpur provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the APAC region. Today Roche employs altogether around 1100 employees in Malaysia.

      -
      -

      -

      Roche is an Equal Opportunity Employer.

      -
      -
      ",,https://careers.roche.com/global/en/job/202404-109044/End-to-End-Support-Framework-Regional-Service-Manager,feed-importer@jobboard.io,,,,2024-11-20T08:58:03.487Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347103003-end-to-end-support-framework-regional-service-manager-at-roche,,draft,2024-10-21T08:58:03.487Z,import-xml-feed:Selenium-Scraper,,,,,,, -8e7fd288-c25e-4f3b-a1b2-297954ac9166,347103004,Roche,Senior HPC Engineer,on_site,"Ontario, Canada",2024-10-21T08:58:03.522Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      Mississauga (Canada)
      Madrid

      -

      Basel

      And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

      -

      -
      As a Senior HPC (High Performance Computing) Engineer, you will be part of the High Performance Computing section of Roche Informatics, responsible for implementing, operating and evolving computing and data IT infrastructure solutions, supporting our Research and Development organizations to enable science in Roche.

      -

      -

      The position will involve working within product teams to deliver the best class scientific computing platforms, in partnership with our scientists and service providers. The position requires knowledge of high performance computing platforms, cluster configurations, workload managers, Linux system administration, scripting and a DevOps approach to platform administration.

      The Opportunity:

      +

      Nice to Have:

        -
      • Engages in and improves the whole lifecycle of platforms and services by applying software engineering principles to build and manage large scale IT infrastructure products and services (both on-premises or in public cloud) optimizing: a) services reliability, availability, capacity and performance and eliminating work through automation b) software development and deployment by providing self-service tools and APIs for developers..
      • -
      • Designs, implements and maintains CI/CD pipelines, enabling developers to easily build, test, and deploy their applications.
      • -
      • Ensures IT infrastructure services reach and maintain the agreed service level indicators (SLIs), objectives (SLOs), agreements (SLAs) in compliance with QA requirements.
      • -
      • Contributes identifying critical metrics used to establish service level indicators (SLIs), objectives (SLOs), agreements (SLAs).
      • -
      • Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
      • -
      • Responsible for availability, tuning, performance, efficiency, change and configuration management, monitoring, emergency response, and capacity planning.
      • -
      • Manages ITSM process(es) and track resolution for reporting and resolving incidents, problems, changes, requests and releases.
      • -
      • Act as an analyst by transforming complex customers and developers needs into specific technical requirements.
      • +
      • AEM Architect Certified

      • +
      • Experience working with WCM platforms and tools such as SDL Tridion, Sitecore, Fatwire, CrownPeak, hybris, Oracle/ATG Demandware, Intershop and IBM WebSphere Commerce

      • +
      • Experience in multiple web technologies including: XML, HTML, XHTML, XML, CSS, AJAX / JavaScript, Web Services/SOAP, SQL

      • +
      • Experience with one or more Java concepts and patterns including: Java/J2EE, JSP, Spring, Sling, JMS, JUnit, AOP, MVC, Eclipse

      • +
      • Experience and full lifecycle involvement with both waterfall and Agile methodologies

      • +
      • Experience with multiple source control systems: CVS, SVN, Git

      • +
      • Working knowledge of multiple web and application tier technologies: Tomcat, WebSphere, Weblogic, Apache Http, Spring tcServer, Solr, open source packages Experience with project automation technology: Jenkins, Continuum, Hudson, automated unit testing, Maven, Ant Experience with the performance tuning and analysis: thread dump analysis, heap dump analysis, profilers, performance troubleshooting

      • +
      • Experience with web application design and analysis, design patterns, and object oriented design

      • +
      • Experience with multiple Unix/Linux operating systems

      -


      Who you are:

        -
      • 6-9 years of experience of working in one or more multinational work environments (e.g. healthcare industry experience is a plus) as a senior systems or software Engineer with minimum Bachelor’s degree; Master’s degree preferred.
      • -
      • Background in Linux/Unix Server technologies (RedHat, CentOS, Ubuntu plus Satellite / Foreman); Linux/Unix High-Performance Computing (HPC) Clusters configurations and workload managers (ie IBM LSF, SLURM).
      • -
      • Wide experience applying infrastructure automation tools, infrastructure as code, scripting languages, logging, monitoring and observability, infrastructure configuration, and applications; Infrastructure as code: AWX, Ansible, Jenkins, Puppet, Chef, SaltStack or equivalents.
      • -
      • Coding and scripting: PHP, Python, YAML, shell, Perl and/or Ruby or equivalents; distributed version control and source code management tools: GIT, bitbucket, github, gitlab or equivalents.
      • -
      • Monitoring and observability (e.g. LogicMonitor, Nagios, Ganglia, ELK).
      • -
      • Experience working according to DevOps principles, processes and tools as well as experience applying design thinking, lean, prioritization and agile methodologies to evolve services offered to partners.
      • +
      • Ability and willingness to split time between management and hands-on software design, development, and review

      • +
      • Strong leadership skills, including the ability to deliver constructive feedback and the ability to lead by example

      • +
      • Hands on experience estimating development tasks

      • +
      • Ability to anticipate issues and formulate remedial actions

      • +
      • Experience managing and/or being managed by remote teams/offices

      • +
      • Excellent verbal and non-verbal communication skills

      • +
      • Experience in a consulting environment

      • +
      • Demonstrated leadership in professional setting; either military or civilian

      • +
      • Demonstrated teamwork and collaboration in a professional setting; either military or civilian

      -

      -
      This role is not open for relocation support.

      -

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      -

      -

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      -

      -

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      -
      -

      -

      Roche is an Equal Opportunity Employer.

      -
      -
      ",,https://careers.roche.com/global/en/job/202403-107564/Senior-HPC-Engineer,feed-importer@jobboard.io,,,,2024-11-20T08:58:03.522Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103004-senior-hpc-engineer-at-roche,,draft,2024-10-21T08:58:03.522Z,import-xml-feed:Selenium-Scraper,,,,,,, +
      +

      Locations

      +
      Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
      +
      +
      +

      +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

      +
      +

      Our Commitment to Inclusion & Diversity

      +

      At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

      +

      Requesting An Accommodation

      +

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      +

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      +

      Other Employment Statements

      +

      It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

      +

      Job candidates are not required to disclose any offence for which a pardon has been granted.

      +
      +
      +
      Share
      +
      Share
      +
      Job Link:
      Copy
      +
      +
      +
      +
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00241517_en&title=Senior%20AEM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-23T08:44:02.102Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469006-senior-aem-architect-at-accenture,,draft,2024-10-24T08:44:02.095Z,import-xml-feed:Accenture-Job-Feed,,,,,,, 330e5b92-a911-49a6-b8ce-54b5ae747b16,347205876,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-22T08:34:02.743Z,"

      Field Solutions Developer III, Generative AI, Google Cloud

      @@ -7629,7 +8688,7 @@ d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"
      -corporate_fareGoogleplaceToronto, ON, Canada; Montreal, QC, Canada; +2 more; +1 more
      +corporate_fareGoogleplaceMontreal, QC, Canada; Waterloo, ON, Canada; +2 more; +1 more
      @@ -7643,7 +8702,7 @@ d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"
      -Apply
      +Apply
      @@ -7666,7 +8725,7 @@ d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"
      info_outline
      -XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Montreal, QC, Canada; Waterloo, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Montreal, QC, Canada; Waterloo, ON, Canada. +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Montreal, QC, Canada; Waterloo, ON, Canada; Toronto, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Montreal, QC, Canada; Waterloo, ON, Canada; Toronto, ON, Canada.
      @@ -7725,42 +8784,7 @@ d0e9f121-0de6-418a-a288-afcbf0a60784,347103002,Roche,GCP Strategy Lead,on_site,"

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/107519854742774470-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-21T08:34:02.762Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347205876-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,draft,2024-10-22T08:34:02.743Z,import-xml-feed:Google-Job-Feed,,,,,,, -9efe3f62-4765-4be9-89cc-71c3978cc6da,347205912,Borealis AI,Staff Researcher,on_site,"Ontario, Canada",2024-10-22T08:43:02.622Z,"
      -

      What\'s the opportunity?

      -

      RBC Borealis is looking for a Staff Researcher in Generative AI. The role focuses on technical leadership with the goal of delivering Generative AI-based products for the financial services industry. The candidate will play a critical role in shaping and leading our Generative AI technical work, reputation, and practice. The role includes engagement with technical and business stakeholders to shape and deliver on project roadmaps. Mentorship and contributions to talent development is a core component of the role.

      -

      Your responsibilities include:

      -
        -
      • Technical Leadership. Provide technical leadership and scientific guidance to Generative AI projects, working within and across teams;
      • -
      • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
      • -
      • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
      • -
      • Research Leadership. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
      • -
      • Mentorship. Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in Generative AI research.
      • -
      -

      You’re our ideal candidate if you have:

      -
        -
      • A Ph.D. degree in Computer Science or a related technical field;
      • -
      • Expertise in machine learning, specifically large language models (LLMs), self-supervised learning, and AI safety (fairness, interpretability, human-centric AI)
      • -
      • 5 years of experience as a machine learning researcher in a product-centric environment or equivalent experience;
      • -
      • A track record of mentorship including junior researchers and engineers and experienced high-performance researchers
      • -
      • Experience delivering high-impact machine learning products
      • -
      • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
      • -
      • The ability to formulate and drive a research project independently;
      • -
      • Exceptional communication skills;
      • -
      • A history of high quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
      • -
      -

      What’s in it for you?

      -
        -
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • -
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • -
      • Leaders who support your development through coaching and managing opportunities;
      • -
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • -
      -

      About RBC Borealis

      -

      RBC Borealis, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

      -

      Inclusion and Equal Opportunity Employment

      -

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

      -
      ",,https://www.borealisai.com/careers/?gh_jid=7679719002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-21T08:43:02.642Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347205912-staff-researcher-at-borealis-ai,,draft,2024-10-22T08:43:02.622Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +
      ",,https://www.google.com/about/careers/applications/jobs/results/105878128559039174-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-21T08:34:02.762Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347205876-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,draft,2024-10-22T08:34:02.743Z,import-xml-feed:Google-Job-Feed,,,,,,, ec28e586-76c7-419b-898d-ce444c95dfc9,343708004,Deloitte,Customer Data Platform Practice Leader,on_site,"Ontario, Canada",2024-09-26T16:35:05.145Z,"

      Job Type: Permanent
      Work Model:
      Hybrid
      Reference code:
      126970
      Primary Location:
      Toronto, ON
      All Available Locations:
      Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

      @@ -9220,7 +10244,7 @@ dbaab24d-1fea-41da-9318-e23a97eb8d94,343569009,BELL CANADA,2025 Internship Progr

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/104255467097596614-innovation-and-transformation-lead-professional-services-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-30T08:34:02.137Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344242841-innovation-and-transformation-lead-professional-services-google-cloud-at-google,,draft,2024-09-30T08:34:02.127Z,import-xml-feed:Google-Job-Feed,,,,,,, +
      ",,https://www.google.com/about/careers/applications/jobs/results/104255467097596614-innovation-and-transformation-lead-professional-services-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344242841-innovation-and-transformation-lead-professional-services-google-cloud-at-google,,draft,2024-09-30T08:34:02.127Z,import-xml-feed:Google-Job-Feed,,,,,,, 82d12bd9-96c8-46bd-958d-c4c10078fcea,344242842,Google,"UX Writer and Content Designer, Google Ads",on_site,"Toronto, ON, Canada",2024-09-30T08:34:02.210Z,"

      UX Writer and Content Designer, Google Ads

      @@ -10535,180 +11559,243 @@ a92a36e8-9859-40d0-a7f9-8e789a99f0a0,345788024,Scotiabank,GTB - Business Deposi

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-GTB-Business-Deposit-Products-InternshipCo-op-Winter-2025-ON/584343817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-14T16:36:03.323Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345788024-gtb-business-deposit-products-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GTB-Business-Deposit-Products-InternshipCo-op-Winter-2025-ON/584343817/,draft,2024-10-10T16:31:05.502Z,import-xml-feed:Scotiabank,,,,,,, -4382d27f-655b-4d49-9cdb-9dd47691a05e,343662412,Ada,Solutions Consultant II,on_site,"Ontario, Canada",2024-09-26T08:58:03.546Z,"
      -
      -
      -
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      -
      -
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +e0d2d234-4a0f-4358-aaf5-315281ad19f8,346298835,Magna International,Traffic & Customs Analyst,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-14T16:41:02.070Z,"
      +
      +

      About the Role

      +

      As a member of the Materials team, your responsibilities encompass overseeing traffic and customs requirements, coordinating inbound shipments, preparing USMCA Certificates of Origin, AALA certificates, Cafe Content Breakdown reports, and Manufacturer's Affidavits for Co-Ex-Tec customers. Additionally, you hold the authority to approve all freight invoices and engage in negotiations concerning transportation fees and contracts.

      +
      +

      Your Responsibilities

      +
      1. Responsible for overall traffic and customs requirements. Check and approve freight invoices; check and verify Canadian Customs Broker entries

      2. Complete USMCA Certificates of Origin, AALA (American Automobile Labelling Act) certificates, Cafe Content Breakdown and Manufacturer’s Affidavit for Co-Ex-Tec customers

      3. Arrange expedite shipments upon request from various departments. Dispatch local driver and/or arrange pick ups of various types, couriers, LTL, TL, local cartage etc. Obtain expedite alert forms from various departments and chart inbound premium freight. Negotiate discounts and special rates with carriers and customs brokers

      4. Prepare export documentation for returns, machinery, etc. Request USMCA Certificates of Origin from suppliers. Negotiate transportation rates with vendors/freight carriers. Co-ordinate audits performed by Canada Customs drawback investigator

      5. Process refunds, amends, duty drawbacks, file rulings and remission applications

      6. Any other reasonable duty required by Management.

      7. +
      +
      +

      Who we are looking for

      +
      • Secondary School Diploma, or equivalent; Post-Secondary Degree/Diploma, preferred

      • Knowledge of freight/transportation, customs rules/classifications; Customs Brokers Certificate, preferable

      • Familiar with freight/transportation business; USMCA agreement and impact on automotive industry

      • +
      +
      +
      +

      Your preferred qualifications

      -

      We’re looking for a Solutions Consultant II who is adept at both pre-sales and post-sales activities, possesses strong technical acumen, and excels in building and nurturing customer relationships. In this role, you will be the bridge between our sales team and clients, guiding them from initial engagement through implementation and ongoing success with Ada’s AI-powered platform.

      -

      About You

      -
        -
      • 2+ years of pre-sales/post sales engineering, and/or strategy/management/technology consulting experience.
      • -
      • 1+ years of experience in a customer relationship building role, such as Customer Success Manager
      • -
      • Proficient in APIs and familiar with SaaS platforms (e.g., Shopify, Salesforce, Zendesk, Hubspot).
      • -
      • Excellent communication and presentation skills, with the ability to effectively explain technical concepts to non-technical audiences.
      • -
      • Proven track record of developing and managing relationships with senior-level stakeholders will be required to maintain and develop technical champions across the table.Technically and analytically curious, where you demonstrate the ability to be a perpetual learner and love to make new discoveries and improve the status quo.
      • -
      • Reliable and resilient team player with a start-up mentality able to deliver on your commitments whilst managing multiple competing priorities in a fast-paced constantly-changing environment.
      • -
      • Generative AI implementation experience will be considered a strong asset.
      • -
      -

      Outcomes

      -
        -
      • Lead discovery sessions with customers and prospects to uncover requirements and challenges and identify opportunities in their businesses.
      • -
      • Utilize your knowledge of APIs and SaaS platforms to address technical questions and provide solutions.
      • -
      • Deliver concise, compelling, value-based presentations (product demos, technical assessments, roadmaps etc.) to all levels of an organization, including C-suite (e.g. CTO, CMO).
      • -
      • Build custom product demonstrations and sandboxes that capture the long-term value of Ada’s Automation-First strategy.
      • -
      • Scope and design integrations into customers\' existing technology stack.
      • -
      • Support pre-sales meeting quarterly revenue goals through closing new business.
      • -
      • Support customers through their implementation and going live with our product.
      • -
      • Support post-sales retaining and expanding existing client accounts by delivering quarterly business reviews and identifying upsell opportunities.
      • -
      • Drive adoption and utilization of the platform with a focus on increasing automated resolutions for existing customers.
      • -
      • Collaborate with Product Management, Engineering, and Marketing to continuously provide feedback and improve Ada’s products and marketing.
      • -
      -

      Benefits

      -
        -
      • Competitive salary and generous stock option plan
      • -
      • Unlimited vacation
      • -
      • Wellness account
      • -
      • Extended health coverage
      • -
      • Dental/optical/travel insurance
      • -
      • Life insurance
      • -
      • Employee and family assistance plan
      • -
      -

      Perks

      -
        -
      • Flexible work schedule
      • -
      • Remote-first, In-person friendly work environment with WFH budget
      • -
      • Paid parental leave for Canadian residents
      • -
      • Development opportunities
      • +
        • Well-developed communication, organizational, interpersonal and analytical abilities

        • Sound computer skills, including knowledge of software in current use

        • Professional in dealing with internal/external customers

        -

        The expected salary range for this position is $105,000 to $140,000 CAD OTE. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

        -

        #LI-NS

        +
        • Understanding of lean manufacturing, an asset

        • +
        +

        Accommodations for disabilities in relation to the job selection process are available upon request.

        +

        Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

      -
      -

      About Us

      -

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      -

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      -

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      -

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      -

      -

      -
      ",,https://job-boards.greenhouse.io/ada18/jobs/4489313007,feed-importer@jobboard.io,,,,2024-10-26T08:58:03.546Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662412-solutions-consultant-ii-at-ada,,draft,2024-09-26T08:58:03.546Z,import-xml-feed:Selenium-Scraper,,,,,,, -a41d3707-4622-4217-a58a-6d1a6c387e3a,345762483,Roche,DevSecOps Intern,on_site,"Ontario, Canada",2024-10-10T08:58:03.368Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      Roche’s expanding digital product portfolio demonstrates its commitment to provide healthcare professionals, laboratories, and patients with digital and digitally-enabled solutions that transform patient care. The existing product portfolio includes decision support systems, data management solutions, and workflow solutions. At the center of these diverse types of solutions is always patient data security and privacy as the highest priority for Roche.

      The Opportunity:
      As a DevSecOps Intern, you will work closely with the Software Engineering team within Roche’s Product Development Integration and Engineering section. This internship offers a unique opportunity to gain hands-on experience in the field of DevSecOps, focusing on the integration of security practices into the DevOps process. You will assist in automating routine tasks, improving system reliability, and building custom solutions.

      Who you are:

      -
        -
      • Currently enrolled in a Bachelor’s program in 3rd or 4th year or equivalent experience in Computer Science, Systems Engineering or a related field.

      • -
      • Basic understanding of DevOps and security concepts.

      • -
      • Strong problem-solving skills and the ability to work collaboratively in a team environment.

      • -
      • Excellent verbal and written communication skills.

      • -
      • Willingness to learn and adapt to new technologies. Centricity around cloud technologies including but not limited to AWS and Cloudflare.

      • +
        +

        What we offer

        +

        At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

        +
        +
        +

        Site Benefits

        +
        • Medical and Dental Benefits after probationary period

        • Profit Sharing (EEPPP) and Company Match Group RRSP Program

        • Company Paid Basic Life Insurance and Accidental Death and Dismemberment (AD&D)

        • Corporate Plans for Roger's Cellphone Data Plans

        • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc...

        • Educational Assistance Program

        • +
        +
        +
        +

        Awareness. Unity. Empowerment.

        +

        At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

        +
        +
      ",,https://jobs.magna.com/job/Concord-Traffic-&-Customs-Analyst-ONTA-L4K-2R2/584591517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-13T16:41:02.070Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346298835-traffic-customs-analyst-at-magna-international,https://jobs.magna.com/job/Concord-Traffic-&-Customs-Analyst-ONTA-L4K-2R2/584591517/,draft,2024-10-14T16:41:02.070Z,import-xml-feed:Scrapy-Scraper,,,,,,, +7e253551-2a25-45b6-82f1-3b96b78a960c,346298733,Scotiabank,GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months,on_site,Canada : Ontario : Toronto,2024-10-14T16:31:03.006Z,"

      +

      +

      +

      +

      Requisition ID: 206613

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months

      +

      +

      Term: 12 or 16 months

      +

      Start date: May 2025

      +

      Location: Toronto, Ontario, Canada

      +

      Application Deadline: 10/25/24

      +

      +

      There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      +

      Who we are:

      +

      Global Banking & Markets (GBM) provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange, and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

      +

      +

      Is this role right for you? In this role, you will:

      +

      As a Trade Floor Technology Consultant (Full Stack Developer), you will work on Scotiabank’s trade floor, providing full stack web development of applications and enhancement of web-based systems. As part of the Global Banking & Markets, Trade Floor Support & Automation team, you will analyze business processes, liaise with various groups within the bank, develop web-based systems, and design user interfaces to meet business needs. You will use state of the art web development technologies, including working with large datasets, bulk editing, advanced reporting, workflow notifications, APIs, web security, and intelligent prediction using analytics/machine learning.

      +

      +

      This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields. You will also get exposure to financial products, as well as leading edge trading technologies and applications such as Bloomberg.

      +

      +

      What’s in it for you?

      +

      This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields.

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

      • Opportunity to get involved in the Scotiabank Co-op Social Committee and help plan events across Toronto.

      • Work in the heart of the Financial and Entertainment Districts in downtown Toronto.

      • Trade Floor Tours are available, offering a rare insight into modern financial analysis, trading, and sales.

      • On-site cafeteria and free refreshments available.

      -

      -

      Preferred:

      -
        -
      • Experience with programming languages such as Python or Java is desirable.

      • -
      • Experience with CI/CD Pipelines is desirable

      • -
      • Experience with Database Systems - SQL, noSQL, Graph or Vector

      • -
      • Familiarity with Software Engineering - software development methodologies and design principles.

      • -
      • Familiarity with Cloud platforms (AWS, Azure, or GCP) is a plus.

      • +

        +

        Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

        +
        • You are currently enrolled in post-secondary education.

        • You love to learn and envision yourself working for an international organization that heavily invests in your future.

        • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

        • You possess effective programming and analytical skills. Familiarity and experience with full stack web development is preferred including:

        -

        Additional Information

        -
          -
        • This position is a 8-month work term (full-time) and is expected to begin in January 2025.

        • -
        • The position is located in Mississauga, Canada. Our team follows a hybrid work structure (minimum 3 days in the office).

        • -
        • This internship is designed to provide practical experience and mentorship, preparing you for a future career in DevSecOps within any industry.

        • +
          • Front-end languages and frameworks (e.g. HTML, CSS, JavaScript, JQuery, Bootstrap, React, Vue.js)

          • Back-end languages (e.g. C#, ASP, Visual Basic, Python)

          • SQL and relational databases (e.g. Microsoft SQL Server or Microsoft Access)

          • You have good interpersonal and communication skills. These are essential, as you will be required to work in a team environment and communicate with various channels.

          • You are highly self-motivated, and able to work quickly in a dynamic, challenging, and fast-paced environment. The tools being built are constantly evolving and changing according to business needs and technological opportunities, and you will be encouraged to contribute ideas to the design and implementation of such tools as part of a collaborative process.

          -

          Relocation benefits are not available for this job posting.

          -

          -

          Who we are

          -

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          -

          -

          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

          -

          -

          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

          -
          +

          +

          How do I apply?

          +

          +

          Please complete all four steps below:

          +
          1. Complete your PLUM Profile here and save as a screenshot.
          2. Complete a short one-way video interview here.
          3. Complete a Codility Assessment here. There is 1 question on the Codility test: one arithmetic problem (using any of C, C++, C#, Java, Javascript, Python). Time limit to complete the assessment is 30 minutes.
          4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript.
          5. +
          +

          +

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

          +

          +

          +

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-13T16:31:03.014Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346298733-gbm-trade-floor-technology-consultant-full-stack-developer-summer-2025-12-or-16-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,draft,2024-10-14T16:31:03.006Z,import-xml-feed:Scotiabank,,,,,,, +9a1e496f-93e5-47e8-835f-a092de06a508,345757418,RBC,Data Centre Specialist,on_site,"Toronto, ON, Canada",2024-10-10T08:20:02.760Z,"
          +

          Job Summary

          -

          Roche is an Equal Opportunity Employer.

          -
      -
      ",,https://careers.roche.com/global/en/job/202410-125414/DevSecOps-Intern,feed-importer@jobboard.io,,,,2024-10-14T09:03:04.526Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345762483-devsecops-intern-at-roche,,draft,2024-10-10T08:58:03.368Z,import-xml-feed:Selenium-Scraper,,,,,,, -1109486c-bc09-4429-9078-20ec64cdcf24,345762484,Roche,IT Continuity Specialist,on_site,"Ontario, Canada",2024-10-10T08:58:03.449Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      The Position

      -

      About Roche Informatics

      -

      In Roche Informatics, we build on Roche\'s 125-year history as one of the world\'s largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients\' needs motivates us to deliver technology that evolves the practice of medicine.

      -

      Be part of our inclusive team at Roche Informatics, where we\'re driven by a shared passion for technological novelties and optimal IT solutions.

      +

      Job Description

      -

      About the position

      -

      Do you have a strong background on managing IT Continuity & Risk Management effectively for critical systems and demonstrated experience on multiple projects who is looking for a creative, challenging and fun work environment and an opportunity to expand your skills? Then the Security, Testing and Validation Chapter is looking for you!

      +

      What is the opportunity?

      -

      As an IT Continuity Specialist, you will be accountable for providing guidance in the planning, development, execution, maintenance and testing of Enterprise Business Continuity, Disaster Recovery and Crisis/Incident Management activities, along with being responsible for risk assessments of systems, services as well as for third parties to evaluate cyber resiliency and compliance with internal and external requirements. Additional accountabilities include compliance management, supporting BC/DR audit and examination activities together with development & maintenance of policies, standards & procedures that are aligned with the best practices (for example: NIST, ISO, COBIT).

      +

      The successful candidate will be responsible for the efficient installation, operation and maintenance of computer systems for an enterprise mission critical data center, including efficient and strategic completion of preventative maintenance, work requests and responses to day-to-day operational activities on a 24hr X 7day rotation.

      -

      This position will be supporting the Product Managers across Informatics.

      +

      Personnel will provide the support necessary to complete electronic hardware installations within Data Centre cabinets, including some cabling requirements, management module configuration and troubleshooting using a Remote Operations Model.

      -

      Your key responsibilities:

      +

      The incumbent will assist in the execution of tasks in highly sensitive environments, as well as provide general supervision of vendors and the operation of building systems, including various computer and network hardware.

      +

      +

      The individual will be a primary contact for all client, security and operational engagements between the hours of their scheduled shift. This focal point will drive daily priorities and distribute work to additional team members when needed.

      +

      +

      What will you do?

        -
      • Manage the coordination, analysis and integration of Risk Management and IT Continuity activities, to ensure that the appropriate levels of resilience are in place.

      • -
      • Conducting risk assessments for systems and services to assess security and data privacy control requirements.

      • -
      • Maintains a comprehensive IT testing schedule, supports the testing of all continuity plans in line with business requirements.

      • -
      • Able to articulate and facilitate the understanding of a system’s intended use and its compliance risk profile.

      • -
      • Maintaining industry knowledge and skills in the areas of compliance, IT Business Continuity, audit, and risk management and applying them to improve internal processes and practices.

      • -
      • Ensures that all IT continuity management plans, risks and activities underpin and align with all business continuity plans, risks and activities.

      • -
      • Assists in creating regular reporting and status updates for IT and Business continuity.

      • -
      • Ensure the recovery capabilities are enforced and integrated into Disaster Recovery Plans, meeting business as well as regulatory requirements.

      • -
      • Foster a culture of Continuity & Risk/Resilience readiness within the IT community through awareness training and embedding it on the product design.

      • +
      • Assist with ongoing issues with day to day operations by responding to Incident engagements, audit requirements and process documentation.

      • +
      • Ensure all requests within the ticketing system are acted on accordingly and status updates are submitted for any new or existing hardware installations.

      • +
      • Perform hardware upgrades, firmware updates, troubleshoot remote connectivity, resolve build errors or hardware issues and perform diagnostics.

      • +
      • Handle deliveries of computer equipment and parts that arrive on site and administer the inventory as required.

      • +
      • Communicate with other technology platform clients to determine client demands and assist with various vendor equipment.

      • +
      • Participate in checking and monitoring of control room operations, building systems and assist with preventative maintenance duties.

      • +
      • Assist with documentation and policy creation. Coordinate and attend training sessions as required.

      • +
      • May be only IT staff member on duty during certain shifts; may be required to work extended periods of time without relief when responding to priority /emergency situations (including extreme weather and/or overtime type assignments)

      -

      Your qualifications and experience:

      +

      What do you need to succeed?

      +

      +

      Must have:

        -
      • 3+ years of relevant experience: In IT system/service technical, and or Disaster Recovery/Business Continuity/Risk Management in a large global enterprise IT environment with knowledge on Business/IT Continuity processes, Risk Management and Operational Resilience initiatives.

      • -
      • Able to present to executive forums on risk profile and continuity preparation and testing.

      • -
      • Communication skills - ability to communicate complex information, issues, and potential solutions at an executive level.

      • -
      • Familiar with health authority regulations, software development lifecycle, information security, ITIL processes and infrastructure, cloud & data center technologies

      • -
      • Skills in relationship building, customer-focus, decision-making, and problem solving.

      • -
      • Demonstrated ability to quickly learn business priorities in unfamiliar or ambiguous areas.

      • -
      • The following certifications are a plus: BCI, DRI, CISA, CRISC, CISSP, Control frameworks and Standards such as COBIT, NIST and ISO 31000, ISO 22301 & ISO 27000 family.

      • -
      • Audit and Compliance management experience would be considered an asset.

      • -
      • Understanding of Agile methodologies/ scaled agile (SAFe) delivery is an asset.

      • +
      • High School Diploma or GED equivalent.

      • +
      • Experience with Computer Operating Systems, Software and Hardware.

      • +
      • Physical requirement to include stooping, standing, climbing and frequent lifting of a minimum of 50 lbs, of equipment (computer systems, tools, ladders) and ability to safely use lifting devices.

      • +
      • Able to work on a 24hr X 7 day rotation.

      -

      What you get:

      +

      Nice to have:

        -
      • Great working environment with attractive compensation and rewards package (according to local regulations);

      • -
      • Annual bonus payment based on performance;

      • -
      • Access to various internal and external training platforms (e.g. Linkedin Learning);

      • -
      • Experienced and professional colleagues and workplace that supports innovation;

      • -
      • Multiple Savings Plans with Employer Match

      • -
      • Company’s emphasis on employees’ wellness and work-life balance ( (e.g. generous vacation days and OneRoche Wellness Days ),

      • -
      • Flexible workplace policy;

      • -
      • State of art working environment and facilities;

      • -
      • And many more that the Talent Acquisition Partner will be happy to talk about!

      • +
      • Trade certificate and other technical training would be considered an asset.

      • +
      • Information Technology certifications including ITIL, Network+, A+, CCNA.

      • +
      • Experience with HVAC, chillers and electrical and mechanical components.

      • +
      • Possess and maintain a valid driver’s license and good driving record with periodic checks.

      -

      This position is not eligible for relocation support.

      +

      What’s in it for you?

      -

      #ITcareers
      #LI-PK1

      +

      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable.

      • +
      • Leaders who support your development through coaching and managing opportunities.

      • +
      • Ability to make a difference and lasting impact.

      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team.

      • +
      • Opportunities to take on progressively greater accountabilities.

      • +
      • Participation with implementations of new and emerging technologies.

      • +

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      #LI-POST

      -

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      -

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      -
      +

      Job Skills

      Customer Service, Data Center Administration, Data Center Facility Management, Decision Making, Group Problem Solving, Hardware Infrastructure, Hardware Installations, System Integration Testing (SIT), Technical Troubleshooting, Time Management

      -

      Roche is an Equal Opportunity Employer.

      -
      -
      ",,https://careers.roche.com/global/en/job/202312-128418/IT-Continuity-Specialist,feed-importer@jobboard.io,,,,2024-10-14T09:03:04.526Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345762484-it-continuity-specialist-at-roche,,draft,2024-10-10T08:58:03.449Z,import-xml-feed:Selenium-Scraper,,,,,,, +

      +

      Additional Job Details

      +

      Address:

      1 CRANE AVE:STRATFORD

      City:

      STRATFORD

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      TECHNOLOGY AND OPERATIONS

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-09-11

      Application Deadline:

      2024-11-12

      +

      +

      +

      +

      +
      +

      Inclusion and Equal Opportunity Employment

      +

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      +
      +

      +

      +

      +

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000099020/Data-Centre-Specialist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-17T08:25:02.527Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345757418-data-centre-specialist-at-rbc,,draft,2024-10-10T08:20:02.760Z,import-xml-feed:RBC-Job-Feed,,,,,,, +6c6e0ca3-05eb-4947-957b-fb32fa8d6f71,346652968,Scotiabank,ScotiaMcLeod - Wealth Management Intern/Co-op (Ontario) - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Ottawa,2024-10-17T16:31:04.080Z,"

      +

      +

      +

      +

      Requisition ID: 207435

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: Jan – April 2025

      +

      Application Deadline: 10/18/2024

      +

      +

      There's no better way to kickstart your career than to do a co-op or internship with ScotiaMcLeod!

      As a cornerstone business with Scotia Wealth Management®, ScotiaMcLeod is a full-service wealth management firm which has earned a reputation for integrity based on service excellence and trusted investment advice. Our advisory teams pride themselves on working closely with clients, exploring innovative approaches to protecting and growing their clients' assets and achieve their financial goals.

      The ScotiaMcLeod Internship is designed to provide co-op undergraduates with exposure to various elements of the full-service wealth management business. Interns play an integral role in the team, working directly with an Advisor(s) and team members supporting business development activities, day-to-day administration and other special projects and initiatives as assigned. The successful candidate will develop a good understanding of the advisory industry as well as a broader view of Scotia Wealth Management.

      Is this role right for you? In this role, you will:

      +
      • +Provide support at a high level to Advisor team(s) by:
        • Processing client requests and opening new accounts in a timely and efficient manner
        • Accurately and efficiently maintaining and documenting all required client files and information and required follow-up, escalating as necessary
        • Liaising with various areas as required to remediate client issues
        • Assisting with various presentations, communication materials, and client events as required
      • +Support to develop and strengthen prospecting relationships by:
        • Creating, building, and maintaining prospect database and profiles
        • Identifying new prospective relationships via client/partner referrals or lead lists
        • Preparing or supporting in the preparation of marketing / presentation materials
      • +Contribute to the effective functioning of the Advisor, Branch and Regional teams by:
        • Maintaining a high level of customer service
        • Acquiring a detailed knowledge and understanding of policies, processes, products & services
        • Participating in the generation of new ideas and approaches
        • Supporting special projects or initiatives as assigned
      • Participate in monthly sessions to learn and network across Scotia Wealth Management business lines
      • Work collaboratively with business partners to move assigned deliverables forward
      • Work on different initiatives and projects of the business as assigned
      • +
      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You have strong attention to detail and the ability to recognize risk.
      • You have strong communication / interpersonal skills.
      • You can adapt to a changing environment and duties, dependent on current situations and directives from management.
      • You enjoy working in a fast-paced, dynamic environment where idea generation is valued at all levels of the organization.
      • You have excellent time management skills with the ability to prioritize workloads to adhere to established service standards.
      • You have experience in MS Word, MS Excel, MS Access, and MS PowerPoint.
      • +
      +

      What’s in it for you?

      +
      • Gain direct hands-on experience in the fast paced and exciting full-service wealth-management business.
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • You will have the opportunity to network and relationship build
      • Exclusive Wealth sessions to learn about the business
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • You’ll have the opportunity to learn about multiple teams across Scotia Wealth Management
      • +
      +
      • You have strong writing skills and exceptional attention to detail.
      • +
      +

      +

      How do I apply?

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. +
      +

      +

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      +

      +

      +

      +

      Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Ottawa

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-ScotiaMcLeod-Wealth-Management-InternCo-op-%28Ontario%29-Winter-2025-ON/584723517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652968-scotiamcleod-wealth-management-intern-co-op-ontario-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-ScotiaMcLeod-Wealth-Management-InternCo-op-%28Ontario%29-Winter-2025-ON/584723517/,draft,2024-10-17T16:31:04.080Z,import-xml-feed:Scotiabank,,,,,,, +0968d601-8198-4d01-ae1c-3599081553a1,346652969,Scotiabank,Commercial Accelerate New Graduate Program - Agriculture May 2025,on_site,Canada : Ontario : Guelph,2024-10-17T16:31:04.228Z,"

      +

      +

      +

      +

      Requisition ID: 207466

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      +

      Start Date: May 2025

      +

      Application Deadline: 10/18/2024

      +

      +

      Accelerate Your Career in Agriculture. The Commercial Accelerate Program: Agriculture offers a dynamic start to your career at Scotiabank. At the heart of our identity, Who We Are encapsulates our dedication to serving as trusted advisors. Our team of professionals is unwavering in their commitment to providing tailored advice and comprehensive solutions to our clients. Specializing in a broad array of services, including customized lending, deposit, cash management, and trade finance, we cater to the needs of mid to large-sized enterprises. Our contributions significantly enhance the growth and quality of the Bank’s Commercial Credit Portfolio. We pride ourselves on fostering a culture where a client-centric mindset and the drive to succeed are paramount, all within a flexible, growth-oriented environment, and unique people-first culture.

      +

      +

      The Accelerate program offers a comprehensive journey for new graduates, combining rotational assignments with the opportunity for personal and professional growth. In this role, you will join a fast-paced, client-centric, and collaborative environment within Agriculture that will challenge you and provide you with opportunities to learn and grow into an Agricultural Business Banker. Our 9 to 12-month rotational program provides the coach-supported opportunities you need to learn, practice, and apply the skills required to excel in your assigned business line. You will also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

      +

      +

      We instill a winning cultureand prioritize the continuous development, education, and wellness of our people. The Accelerate program offers unique rotations within areas such as Agricultural Banking, Indirect Agriculture Finance, Agricultural Specialist, and Agriculture Global Risk Management. You will have a dedicated Program Manager who provides individual mentorship, coaching, and development to facilitate a smooth transition through various rotations. This tailored guidance is designed to equip you with the necessary skills and experience to embark on a successful career after the program concludes.

      +

      +

      Is this role right for you? In this role, you will:

      +

      +
        • The ability to initiate, develop, and maintain productive relationships with Canadian business partners to successfully support the teams’ business strategies and objectives.
        • A thorough understanding of methods to build and maintain an internal and external profile to identify new business opportunities and sustain revenue growth within a client portfolio.
        • The ability to conduct an effective and detailed analysis, deal structuring, credit adjudication, and presentation of complex credit proposals, catering to both borrowing and non-borrowing clients.
        • Awareness of sophisticated techniques and tools to help identify client business needs and deliver appropriate solutions.
        • Advanced understanding of Bank lending policies and procedures, financial analysis, risk assessment techniques, collateral and security documentation and registration, collection, related legislation, and accounting practices.
        • In-depth knowledge of the Bank’s operating policies and procedures and understanding of how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • An undergraduate or graduate degree in Business, Economics, Finance, Agriculture, Agribusiness, or Accounting.
      • A genuine interest and passion for Agriculture.
      • Dedication to accuracy, a customer-focused approach, and a results-oriented mindset.
      • High level of financial literacy with an understanding of financial statements, credit terms, conditions, and sales.
      • Natural curiosity and passion for analytics and problem-solving.
      • Strong organizational skills and the ability to prioritize work effectively and efficiently.
      • Ability to thrive in a fast-paced, agile environment and manage multiple priorities efficiently.
      • Excellent written and verbal communication skills for creating professional credit responses, presentations, and correspondence.
      • Professionalism, high energy, resilience, and a strong desire to learn.
      • +
      +

      +

      What’s in it for you?

      +

      +
      • Join a diverse and inclusive team that values collaboration and innovation.
      • Benefit from a dedicated Program Manager who will support your learning and development goals.
      • Become part of a unique program cohort and connect with a bank-wide community of new graduates in Commercial Banking and TILT.
      • Enhance your skills through customized workshops, executive masterclasses, leadership courses, and a comprehensive learning curriculum, including capstone projects.
      • Receive individualized learning plans, mentorship opportunities, and exclusive access to leaders.
      • Participate in the Accelerate and TILT Orientation, social events, wellness sessions, community outreach events, and TILT Learning & Development.
      • +
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. +
      +

      +

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      +

      +

      Location(s): Canada : Ontario : Guelph

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Guelph-Commercial-Accelerate-New-Graduate-Program-Agriculture-May-2025-ON/584730617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346652969-commercial-accelerate-new-graduate-program-agriculture-may-2025-at-scotiabank,https://jobs.scotiabank.com/job/Guelph-Commercial-Accelerate-New-Graduate-Program-Agriculture-May-2025-ON/584730617/,draft,2024-10-17T16:31:04.228Z,import-xml-feed:Scotiabank,,,,,,, cbefe130-c854-48b8-97eb-5cc513ac769c,346634031,Google,"Cloud Program Manager II, Professional Services, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-17T08:34:01.708Z,"

      Cloud Program Manager II, Professional Services, Google Cloud

      @@ -10934,139 +12021,6 @@ cbefe130-c854-48b8-97eb-5cc513ac769c,346634031,Google,"Cloud Program Manager II,

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      ",,https://www.google.com/about/careers/applications/jobs/results/130177450154828486-account-strategist-midmarket-sales-google-customer-solutions?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634032-account-strategist-mid-market-sales-google-customer-solutions-at-google,,draft,2024-10-17T08:34:01.842Z,import-xml-feed:Google-Job-Feed,,,,,,, -6c6e0ca3-05eb-4947-957b-fb32fa8d6f71,346652968,Scotiabank,ScotiaMcLeod - Wealth Management Intern/Co-op (Ontario) - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Ottawa,2024-10-17T16:31:04.080Z,"

      -

      -

      -

      -

      Requisition ID: 207435

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: Jan – April 2025

      -

      Application Deadline: 10/18/2024

      -

      -

      There's no better way to kickstart your career than to do a co-op or internship with ScotiaMcLeod!

      As a cornerstone business with Scotia Wealth Management®, ScotiaMcLeod is a full-service wealth management firm which has earned a reputation for integrity based on service excellence and trusted investment advice. Our advisory teams pride themselves on working closely with clients, exploring innovative approaches to protecting and growing their clients' assets and achieve their financial goals.

      The ScotiaMcLeod Internship is designed to provide co-op undergraduates with exposure to various elements of the full-service wealth management business. Interns play an integral role in the team, working directly with an Advisor(s) and team members supporting business development activities, day-to-day administration and other special projects and initiatives as assigned. The successful candidate will develop a good understanding of the advisory industry as well as a broader view of Scotia Wealth Management.

      Is this role right for you? In this role, you will:

      -
      • -Provide support at a high level to Advisor team(s) by:
        • Processing client requests and opening new accounts in a timely and efficient manner
        • Accurately and efficiently maintaining and documenting all required client files and information and required follow-up, escalating as necessary
        • Liaising with various areas as required to remediate client issues
        • Assisting with various presentations, communication materials, and client events as required
      • -Support to develop and strengthen prospecting relationships by:
        • Creating, building, and maintaining prospect database and profiles
        • Identifying new prospective relationships via client/partner referrals or lead lists
        • Preparing or supporting in the preparation of marketing / presentation materials
      • -Contribute to the effective functioning of the Advisor, Branch and Regional teams by:
        • Maintaining a high level of customer service
        • Acquiring a detailed knowledge and understanding of policies, processes, products & services
        • Participating in the generation of new ideas and approaches
        • Supporting special projects or initiatives as assigned
      • Participate in monthly sessions to learn and network across Scotia Wealth Management business lines
      • Work collaboratively with business partners to move assigned deliverables forward
      • Work on different initiatives and projects of the business as assigned
      • -
      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You have strong attention to detail and the ability to recognize risk.
      • You have strong communication / interpersonal skills.
      • You can adapt to a changing environment and duties, dependent on current situations and directives from management.
      • You enjoy working in a fast-paced, dynamic environment where idea generation is valued at all levels of the organization.
      • You have excellent time management skills with the ability to prioritize workloads to adhere to established service standards.
      • You have experience in MS Word, MS Excel, MS Access, and MS PowerPoint.
      • -
      -

      What’s in it for you?

      -
      • Gain direct hands-on experience in the fast paced and exciting full-service wealth-management business.
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • You will have the opportunity to network and relationship build
      • Exclusive Wealth sessions to learn about the business
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • You’ll have the opportunity to learn about multiple teams across Scotia Wealth Management
      • -
      -
      • You have strong writing skills and exceptional attention to detail.
      • -
      -

      -

      How do I apply?

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. -
      -

      -

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      -

      -

      -

      -

      Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Ottawa

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-ScotiaMcLeod-Wealth-Management-InternCo-op-%28Ontario%29-Winter-2025-ON/584723517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652968-scotiamcleod-wealth-management-intern-co-op-ontario-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-ScotiaMcLeod-Wealth-Management-InternCo-op-%28Ontario%29-Winter-2025-ON/584723517/,draft,2024-10-17T16:31:04.080Z,import-xml-feed:Scotiabank,,,,,,, -0968d601-8198-4d01-ae1c-3599081553a1,346652969,Scotiabank,Commercial Accelerate New Graduate Program - Agriculture May 2025,on_site,Canada : Ontario : Guelph,2024-10-17T16:31:04.228Z,"

      -

      -

      -

      -

      Requisition ID: 207466

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      -

      Start Date: May 2025

      -

      Application Deadline: 10/18/2024

      -

      -

      Accelerate Your Career in Agriculture. The Commercial Accelerate Program: Agriculture offers a dynamic start to your career at Scotiabank. At the heart of our identity, Who We Are encapsulates our dedication to serving as trusted advisors. Our team of professionals is unwavering in their commitment to providing tailored advice and comprehensive solutions to our clients. Specializing in a broad array of services, including customized lending, deposit, cash management, and trade finance, we cater to the needs of mid to large-sized enterprises. Our contributions significantly enhance the growth and quality of the Bank’s Commercial Credit Portfolio. We pride ourselves on fostering a culture where a client-centric mindset and the drive to succeed are paramount, all within a flexible, growth-oriented environment, and unique people-first culture.

      -

      -

      The Accelerate program offers a comprehensive journey for new graduates, combining rotational assignments with the opportunity for personal and professional growth. In this role, you will join a fast-paced, client-centric, and collaborative environment within Agriculture that will challenge you and provide you with opportunities to learn and grow into an Agricultural Business Banker. Our 9 to 12-month rotational program provides the coach-supported opportunities you need to learn, practice, and apply the skills required to excel in your assigned business line. You will also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

      -

      -

      We instill a winning cultureand prioritize the continuous development, education, and wellness of our people. The Accelerate program offers unique rotations within areas such as Agricultural Banking, Indirect Agriculture Finance, Agricultural Specialist, and Agriculture Global Risk Management. You will have a dedicated Program Manager who provides individual mentorship, coaching, and development to facilitate a smooth transition through various rotations. This tailored guidance is designed to equip you with the necessary skills and experience to embark on a successful career after the program concludes.

      -

      -

      Is this role right for you? In this role, you will:

      -

      -
        • The ability to initiate, develop, and maintain productive relationships with Canadian business partners to successfully support the teams’ business strategies and objectives.
        • A thorough understanding of methods to build and maintain an internal and external profile to identify new business opportunities and sustain revenue growth within a client portfolio.
        • The ability to conduct an effective and detailed analysis, deal structuring, credit adjudication, and presentation of complex credit proposals, catering to both borrowing and non-borrowing clients.
        • Awareness of sophisticated techniques and tools to help identify client business needs and deliver appropriate solutions.
        • Advanced understanding of Bank lending policies and procedures, financial analysis, risk assessment techniques, collateral and security documentation and registration, collection, related legislation, and accounting practices.
        • In-depth knowledge of the Bank’s operating policies and procedures and understanding of how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -

      -
      • An undergraduate or graduate degree in Business, Economics, Finance, Agriculture, Agribusiness, or Accounting.
      • A genuine interest and passion for Agriculture.
      • Dedication to accuracy, a customer-focused approach, and a results-oriented mindset.
      • High level of financial literacy with an understanding of financial statements, credit terms, conditions, and sales.
      • Natural curiosity and passion for analytics and problem-solving.
      • Strong organizational skills and the ability to prioritize work effectively and efficiently.
      • Ability to thrive in a fast-paced, agile environment and manage multiple priorities efficiently.
      • Excellent written and verbal communication skills for creating professional credit responses, presentations, and correspondence.
      • Professionalism, high energy, resilience, and a strong desire to learn.
      • -
      -

      -

      What’s in it for you?

      -

      -
      • Join a diverse and inclusive team that values collaboration and innovation.
      • Benefit from a dedicated Program Manager who will support your learning and development goals.
      • Become part of a unique program cohort and connect with a bank-wide community of new graduates in Commercial Banking and TILT.
      • Enhance your skills through customized workshops, executive masterclasses, leadership courses, and a comprehensive learning curriculum, including capstone projects.
      • Receive individualized learning plans, mentorship opportunities, and exclusive access to leaders.
      • Participate in the Accelerate and TILT Orientation, social events, wellness sessions, community outreach events, and TILT Learning & Development.
      • -
      -

      -

      How do I apply?

      -

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. -
      -

      -

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      -

      -

      Location(s): Canada : Ontario : Guelph

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Guelph-Commercial-Accelerate-New-Graduate-Program-Agriculture-May-2025-ON/584730617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346652969-commercial-accelerate-new-graduate-program-agriculture-may-2025-at-scotiabank,https://jobs.scotiabank.com/job/Guelph-Commercial-Accelerate-New-Graduate-Program-Agriculture-May-2025-ON/584730617/,draft,2024-10-17T16:31:04.228Z,import-xml-feed:Scotiabank,,,,,,, -198b982c-289c-49f2-ad82-61cca1a72e0e,343706889,KPMG,Senior Consultant - Cyber Security Strategy & Governance,on_site,"Toronto, Canada",2024-09-26T16:34:03.379Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Cyber Security Services team in Toronto is looking for a professional like you with the skills and drive to make a real difference. A career within our Cybersecurity Services, will provide you with the opportunity to help our clients implement an effective cybersecurity program that protects against threats, propels transformation, and drives growth. As companies pivot toward a digital business model, exponentially more data is generated and shared among organizations, partners and customers. We play an integral role in helping our clients ensure they are protected by developing transformation strategies focused on security, efficiently integrate and manage new or existing technology systems to deliver continuous operational improvements and increase their cybersecurity investment, and detect, respond, and remediate threats.


      What you will do

      As a Senior Consultant, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

        -
      • Proactively assist in the management of several clients, while reporting to Managers and above.
      • -
      • Train and lead staff.
      • -
      • Establish effective working relationships directly with clients.
      • -
      • Understand and help solve our clients’ cybersecurity problems.
      • -
      • Contribute to the development of your own and team’s technical acumen.
      • -
      • Keep up to date with local and national business and economic issues.
      • -
      • Linking cyber security to other consultancy offerings on risk management, resilience and IT transformation to provide holistic support to our clients.
      • -
      • Continue to develop internal relationships and your KMPG brand.
      • -

      What you bring to the role

        -
      • Demonstrated ability to translate business, risk, and regulatory requirements into data protection solutions, and to effectively communicate those solutions to business leaders and executives.
      • -
      • Understanding the entire ecosystem of data protection including well-rounded understanding of the information security domains and their inter-relations across that ecosystem.
      • -
          -
        • Data Discovery and Classification
        • -
        • Data Loss Prevention
        • -
        • Data Encryption, Tokenization and Obfuscation
        • -
        • Key and Certificate Management
        • -
        -
      • Familiarity with common identity, authentication and directory services, such as Active Directory and LDAP.
      • -
      • Designing and updating cybersecurity strategies, roadmaps, and target operating models.
      • -
      • Understanding and applying risk management principles to effectively manage cyber risk.
      • -
      • Technical designations such as CISSP, CISA, CRISC, CEH, CGEIT, ITIL, PCI QSA, CIPP/C, TOGAF, SABSA or CISM.
      • -
      • Bachelor or master’s degree in Information Security, Computer Science, Engineering, Business or the equivalent experience.
      • -

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/25645?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-26T16:34:03.390Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706889-senior-consultant-cyber-security-strategy-governance-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25645?lang=en-us,draft,2024-09-26T16:34:03.379Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -4fcf4ca3-748b-4070-9a31-870ac19f6301,347118823,Scotiabank,"Manager, Digital Performance",on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.921Z,"

      -

      -

      -

      -

      Requisition ID: 208784

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      As a Manager, Digital Performance, you will be responsible for planning, measuring, and managing digital performance of digital tactics, strategies and campaigns across multiple business lines, programs, and platforms (mobile, desktop, app). You will also be responsible for identifying, assessing, measuring, and supporting strategic initiatives as it relates to driving the growth of sales and/or revenue across Scotiabank’s Canadian banking ecosystem.

      -

      -

      As part of Scotiabank’s Digital Channels department, the Digital Performance team is responsible for leading annual fiscal planning, in-year sales performance management and influencing strategic direction of online sales & revenue growth.

      -

      -

      The incumbent needs to be firmly rooted in objective data-driven decision making, with a track record of ideating, executing, and measuring tactics that have material impact on sales & revenue growth.

      -

      -

      -

      Is this role right for you?

      -

      -

      -
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
      • Support the improvement of digital effectiveness by partnering with Business lines, Customer Journey Managers, Digital Acquisition Specialists, and Marketing to ensure that Scotiabank positively performs to our annual and strategic sales targets
      • Drive acquisition goals by executing best-in-class tactics, recommending strategies and by optimising continuously within the agile digital framework
      • Apply a holistic view on customer acquisition through several digital channels (public vs. authenticated website, app, mobile vs. desktop experience) with a test-learn-iterate mindset
      • Consistently seek new and innovative ways to use user data, value propositions and personalisation to develop engaging and measurable campaigns
      • Leverage analytics and insights to continuously optimize to channel metrics (CPA) and business goals (New to Bank, Deposits, etc.)
      • Research competitors and their strategies to find the gaps in the industry and accordingly set up digital channel and user experience goals for the brand.
      • Leverage analytics, partner reports and vendor tools to support monthly reporting and ad-hoc requests to generate insights in an effort drive performance management across multiple business lines
      • Identify pain points to creatively improve non-performing areas
      • Champions a high-performance environment and demonstrates a commitment to Scotiabank’s values: accountability, passion, integrity and respect. Delivers results in accordance to Scotiabank behavioural competencies. Creates an inclusive team culture and an environment where team members hear, share, and appreciate diverse perspectives.
      • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits.
      • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
      • -
      -

      -

      -

      -

      Do you have the skills that will enable you to succeed in this role?

      -

      -

      -
      • Minimum of 5+ years of professional experience in any of the areas: Digital Performance, Digital Product Management, Marketing Campaign Management, Marketing Analytics, Digital Marketing
      • 2+ years’ experience in a role that required making fact-based data driven investment decisions
      • Working knowledge of industry leading visualization tools such as Power BI and Adobe Analytics
      • Strong understanding of trends, segmentation and tracking tools
      • Post-secondary education in Marketing or Business, or relevant experience
      • Self-starter with ambitious initiative to continue learning
      • You have strong written and verbal communication skills with attention to detail
      • -
      -

      -

      -

      What's in it for you?

      -

      -

      -
      • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
      • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
      • A hybrid-friendly work environment will provide you with the flexibility to perform at your best.
      • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
      • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
      • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
      • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
      • -
      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Performance-ON-M5C2W1/585507917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:04.017Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118823-manager-digital-performance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Performance-ON-M5C2W1/585507917/,draft,2024-10-21T16:31:03.921Z,import-xml-feed:Scotiabank,,,,,,, ef199efe-903f-4296-840c-d011e5792b57,345361195,Accenture,Salesforce Loyalty Management Developer,on_site,"Toronto, ON, Canada",2024-10-07T08:44:02.336Z,"

      Job Description

      @@ -11132,7 +12086,354 @@ ef199efe-903f-4296-840c-d011e5792b57,345361195,Accenture,Salesforce Loyalty Mana
      -
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236245_en&title=Salesforce%20Loyalty%20Management%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-06T08:44:02.348Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345361195-salesforce-loyalty-management-developer-at-accenture,,draft,2024-10-07T08:44:02.336Z,import-xml-feed:Accenture-Job-Feed,,,,,,, +
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236245_en&title=Salesforce%20Loyalty%20Management%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-24T08:49:02.213Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345361195-salesforce-loyalty-management-developer-at-accenture,,draft,2024-10-07T08:44:02.336Z,import-xml-feed:Accenture-Job-Feed,,,,,,, +4fcf4ca3-748b-4070-9a31-870ac19f6301,347118823,Scotiabank,"Manager, Digital Performance",on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.921Z,"

      +

      +

      +

      +

      Requisition ID: 208784

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      As a Manager, Digital Performance, you will be responsible for planning, measuring, and managing digital performance of digital tactics, strategies and campaigns across multiple business lines, programs, and platforms (mobile, desktop, app). You will also be responsible for identifying, assessing, measuring, and supporting strategic initiatives as it relates to driving the growth of sales and/or revenue across Scotiabank’s Canadian banking ecosystem.

      +

      +

      As part of Scotiabank’s Digital Channels department, the Digital Performance team is responsible for leading annual fiscal planning, in-year sales performance management and influencing strategic direction of online sales & revenue growth.

      +

      +

      The incumbent needs to be firmly rooted in objective data-driven decision making, with a track record of ideating, executing, and measuring tactics that have material impact on sales & revenue growth.

      +

      +

      +

      Is this role right for you?

      +

      +

      +
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
      • Support the improvement of digital effectiveness by partnering with Business lines, Customer Journey Managers, Digital Acquisition Specialists, and Marketing to ensure that Scotiabank positively performs to our annual and strategic sales targets
      • Drive acquisition goals by executing best-in-class tactics, recommending strategies and by optimising continuously within the agile digital framework
      • Apply a holistic view on customer acquisition through several digital channels (public vs. authenticated website, app, mobile vs. desktop experience) with a test-learn-iterate mindset
      • Consistently seek new and innovative ways to use user data, value propositions and personalisation to develop engaging and measurable campaigns
      • Leverage analytics and insights to continuously optimize to channel metrics (CPA) and business goals (New to Bank, Deposits, etc.)
      • Research competitors and their strategies to find the gaps in the industry and accordingly set up digital channel and user experience goals for the brand.
      • Leverage analytics, partner reports and vendor tools to support monthly reporting and ad-hoc requests to generate insights in an effort drive performance management across multiple business lines
      • Identify pain points to creatively improve non-performing areas
      • Champions a high-performance environment and demonstrates a commitment to Scotiabank’s values: accountability, passion, integrity and respect. Delivers results in accordance to Scotiabank behavioural competencies. Creates an inclusive team culture and an environment where team members hear, share, and appreciate diverse perspectives.
      • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits.
      • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
      • +
      +

      +

      +

      +

      Do you have the skills that will enable you to succeed in this role?

      +

      +

      +
      • Minimum of 5+ years of professional experience in any of the areas: Digital Performance, Digital Product Management, Marketing Campaign Management, Marketing Analytics, Digital Marketing
      • 2+ years’ experience in a role that required making fact-based data driven investment decisions
      • Working knowledge of industry leading visualization tools such as Power BI and Adobe Analytics
      • Strong understanding of trends, segmentation and tracking tools
      • Post-secondary education in Marketing or Business, or relevant experience
      • Self-starter with ambitious initiative to continue learning
      • You have strong written and verbal communication skills with attention to detail
      • +
      +

      +

      +

      What's in it for you?

      +

      +

      +
      • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
      • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
      • A hybrid-friendly work environment will provide you with the flexibility to perform at your best.
      • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
      • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
      • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
      • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Performance-ON-M5C2W1/585507917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:04.017Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118823-manager-digital-performance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Performance-ON-M5C2W1/585507917/,draft,2024-10-21T16:31:03.921Z,import-xml-feed:Scotiabank,,,,,,, +198b982c-289c-49f2-ad82-61cca1a72e0e,343706889,KPMG,Senior Consultant - Cyber Security Strategy & Governance,on_site,"Toronto, Canada",2024-09-26T16:34:03.379Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Cyber Security Services team in Toronto is looking for a professional like you with the skills and drive to make a real difference. A career within our Cybersecurity Services, will provide you with the opportunity to help our clients implement an effective cybersecurity program that protects against threats, propels transformation, and drives growth. As companies pivot toward a digital business model, exponentially more data is generated and shared among organizations, partners and customers. We play an integral role in helping our clients ensure they are protected by developing transformation strategies focused on security, efficiently integrate and manage new or existing technology systems to deliver continuous operational improvements and increase their cybersecurity investment, and detect, respond, and remediate threats.


      What you will do

      As a Senior Consultant, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

        +
      • Proactively assist in the management of several clients, while reporting to Managers and above.
      • +
      • Train and lead staff.
      • +
      • Establish effective working relationships directly with clients.
      • +
      • Understand and help solve our clients’ cybersecurity problems.
      • +
      • Contribute to the development of your own and team’s technical acumen.
      • +
      • Keep up to date with local and national business and economic issues.
      • +
      • Linking cyber security to other consultancy offerings on risk management, resilience and IT transformation to provide holistic support to our clients.
      • +
      • Continue to develop internal relationships and your KMPG brand.
      • +

      What you bring to the role

        +
      • Demonstrated ability to translate business, risk, and regulatory requirements into data protection solutions, and to effectively communicate those solutions to business leaders and executives.
      • +
      • Understanding the entire ecosystem of data protection including well-rounded understanding of the information security domains and their inter-relations across that ecosystem.
      • +
          +
        • Data Discovery and Classification
        • +
        • Data Loss Prevention
        • +
        • Data Encryption, Tokenization and Obfuscation
        • +
        • Key and Certificate Management
        • +
        +
      • Familiarity with common identity, authentication and directory services, such as Active Directory and LDAP.
      • +
      • Designing and updating cybersecurity strategies, roadmaps, and target operating models.
      • +
      • Understanding and applying risk management principles to effectively manage cyber risk.
      • +
      • Technical designations such as CISSP, CISA, CRISC, CEH, CGEIT, ITIL, PCI QSA, CIPP/C, TOGAF, SABSA or CISM.
      • +
      • Bachelor or master’s degree in Information Security, Computer Science, Engineering, Business or the equivalent experience.
      • +

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/25645?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-26T16:34:03.390Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706889-senior-consultant-cyber-security-strategy-governance-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25645?lang=en-us,draft,2024-09-26T16:34:03.379Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +4531122f-5068-4693-8b0d-98a7341abc2c,347468576,BMO Financial Group,"Manager, Stress Testing Market Risk",on_site,"Ontario, Canada",2024-10-24T08:18:01.924Z,"
      +

      Application Deadline:

      11/06/2024

      +

      +

      Address:

      250 Yonge Street

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +

      Supports the research and development of stress testing and scenario analysis methodologies and related strategies in support of the management of risks arising from changes in the market and external environment for business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop models, methodologies and supplementary stress testing tools and infrastructures that assess the impact of a stress on risk capital and ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. defining tolerance for adverse outcomes, capital modelling, assess capital and liquidity, recovery actions, portfolio and risk management strategies and tactics. Specifically:

      +
        +
      • Develops expertise in the process of generating stress reports in Next Gen platform including setting up the inputs, checking the soundness of the outcomes and the addition of adjustments.

      • +
      • Automates processes where possible.

      • +
      • Prepares stress testing reports and creates content for senior management, internal committees and regulators.

      • +
      • Monitors the stress exposure across our desks daily and escalates excessive risks.

      • +
      • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

      • +
      • Consults with stakeholders to improve consistency and transparency of risk measurement, metrics and reporting.

      • +
      • Works with stakeholders to identify stress testing issues, understand root causes, coordinates implementations of solutions and evaluates testing outcomes before production implementation.

      • +
      • Develops an in-depth knowledge of the Business to identify specific pockets of risks and contributes to the design of more relevant stress testing scenarios.

      • +
      • Builds effective relationships with internal/external stakeholders.

      • +
      • Analyzes data and information to provide insights and recommendations.

      • +
      • Works independently and regularly handles non-routine situations.

      • +
      • Broader work or accountabilities may be assigned as needed.

      • +
      +


      Qualifications:

      +
        +
      • Between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

      • +
      • Detail oriented, strong sense of ownership, and drive to follow through.

      • +
      • In-depth knowledge and understanding of stress testing and scenario analysis methodologies and frameworks.

      • +
      • Proficiency in statistical/numerical software.

      • +
      • In-depth experience in quantitative risk modeling.

      • +
      • Verbal & written communication skills - In-depth.

      • +
      • Collaboration & team skills - In-depth.

      • +
      • Analytical and problem-solving skills - In-depth.

      • +
      • Data driven decision making - In-depth

      • +
      +
      +

      +

      Salary:

      +
      $68,000.00 - $126,000.00

      +

      Pay Type:

      Salaried

      +

      The above represents BMO Financial Group’s pay range and type.

      +

      +

      Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

      +

      +

      BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

      +

      +

      +

      We’re here to help

      +

      +

      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

      +

      +

      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

      +

      +

      To find out more visit us at https://jobs.bmo.com/ca/en.

      +

      +

      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

      +

      +

      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Stress-Testing-Market-Risk_R240026632?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-23T08:18:01.952Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468576-manager-stress-testing-market-risk-at-bmo-financial-group,,draft,2024-10-24T08:18:01.924Z,import-xml-feed:BMO-Job-Feed,,,,,,, +c9247b26-1bb4-44ab-a4b6-4afb0836b3a2,347468858,Google,"Senior Software Developer, Site Reliability Development, Protected Data",on_site,"Toronto, ON, Canada",2024-10-24T08:34:02.789Z,"
      +
      +

      Senior Software Developer, Site Reliability Development, Protected Data

      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +corporate_fareGoogleplaceWaterloo, ON, Canada
      +
      +
      +
      +bar_chartMid +
      +
      +

      Mid

      +
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      +
      +
      +
      +
      +
      +Apply
      +
      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +

      Minimum qualifications:

      +
        +
      • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
        +
      • +
      • 5 years of experience with software development in one or more programming languages.
        +
      • +
      • 5 years of experience with data structures or algorithms.
        +
      • +
      • 3 years of experience in designing, analyzing, and troubleshooting distributed systems, and 2 years of experience leading projects and providing technical leadership.
        +
      • +
      +

      Preferred qualifications:

      +
        +
      • Master\'s degree in Computer Science or Engineering.
        +
      • +
      • Experience as a technical leader.
        +
      • +
      • Experience with AI/ML systems.
        +
      • +
      • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
      • +
      • Ability to debug, optimize code, and automate routine tasks.
        +
      • +
      • Excellent leadership and cross-functional skills.
      • +
      +
      +
      +

      About the job

      +

      Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users\' needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation.

      On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

      Site Reliability Developers culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

      To learn more: check out our books on Site Reliability Development, watch a recorded Hangout on Air to meet some of our Site Reliability Developers, or read a career profile about why a Software Developer chose to join Site Reliability Development.

      +

      We help Protected Data by driving reliability, resiliency, and efficiency efforts throughout the lifecycle of end-user data. Privacy Indexing Site Reliability Development\'s goal is to make data processing product offerings within Protected Data self-sustaining, self-healing, efficient, and requiring minimal operational cost.

      +

      Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

      +
      +
      +

      Responsibilities

      +
        +
      • Define, lead and drive to completion Protected Data\'s infrastructure resiliency and scalability efforts.
        +
      • +
      • Identify opportunities for horizontal resiliency improvements in Protected Data and infrastructure partners (e.g., storage and platform teams).
        +
      • +
      • Collaborate with Protected Data leads to introduce AI/ML to the organization.
        +
      • +
      • Participate regularly in a tier 1 oncall rotation, including complex incident coordination, distributed system debugging, implementing technical mitigations and long term fixes, as well as blameless postmortem authoring.
      • +
      • Define engagement model for infrastucture-level integrations.
        +
      • +
      +
      +
      +

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      +

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      +

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      +

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/88383879580132038-senior-software-developer-site-reliability-development-protected-data?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:02.797Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468858-senior-software-developer-site-reliability-development-protected-data-at-google,,draft,2024-10-24T08:34:02.789Z,import-xml-feed:Google-Job-Feed,,,,,,, +da80286d-4d93-42fa-9171-cf2109bf42ba,347468859,Google,"Industry Solutions Lead II, Retail, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-24T08:34:02.918Z,"
      +
      +

      Industry Solutions Lead II, Retail, Google Cloud

      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +corporate_fareGoogleplaceAtlanta, GA, USA; Austin, TX, USA; +3 more; +2 more
      +
      +
      +
      +bar_chartMid +
      +
      +

      Mid

      +
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      +
      +
      +
      +
      +
      +Apply
      +
      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +
      +
      +
      info_outline
      +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Toronto, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Toronto, ON, Canada. +
      + +
      +

      Minimum qualifications:

      +
        +
      • Bachelor\'s degree in Computer Science or equivalent practical experience.
        +
      • +
      • 9 years of experience performing services focused on translating retailer needs into cloud solutions.
        +
      • +
      • Experience in the retail industry, developing cloud solutions.
        +
      • +
      • Experience in machine learning, artificial intelligence, natural language processing, contact center AI, or pattern recognition.
        +
      • +
      +

      Preferred qualifications:

      +
        +
      • Experience in a programming language (e.g., R, Java or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, natural language processing frameworks).
        +
      • +
      • Experience in systems design with the ability to architect and explain data analytics pipelines, data flows, and Machine Learning Operation platforms.
        +
      • +
      • Familiarity with building data pipelines integrated with key retailer applications.
        +
      • +
      • Demonstrated cloud solution architect capabilities with a broad set of Retail use cases.
        +
      • +
      • Excellent organizational, problem solving, and influencing skills.
        +
      • +
      +
      +
      +

      About the job

      +

      The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

      +

      As an Industry Solution Lead, you will work directly with Google Cloud’s most strategic customers in the retail industry on projects that transform business. You will work with Google Cloud Consulting and Sales team, as well as Product and Engineering teams dedicated to Artificial Intelligence (AI) Solutions to foster innovation. In partnership with these teams, and with Strategic Partners, you will promote, scope and oversee the implementation of Google Cloud\'s priority AI Industry Solutions. You will apply management, industry-specific consulting expertise, and technical skills to customer engagements while working with Google\'s clients’ executives and key technical leaders to operationalize Google Cloud Industry Solutions for our customers.

      +

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      +

      The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

      +

      Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

      +
      +
      +

      Responsibilities

      +
        +
      • +Provide deep expertise in AI Solutions and advocate these solutions among Google’s customers, partners and internal stakeholders.
        +
      • +
      • Lead the scoping and technical delivery of complex AI Industry Solution engagements covering program assurance, removing roadblocks, and validation, while driving exceptional customer satisfaction.
        +
      • +
      • Work with Sales, Product and Engineering teams to develop AI Industry Solution delivery strategies and methodologies. Consolidate lessons learned into a curated knowledge base to support global scaling of Industry Solutions.
        +
      • +
      • Recommend and document migration paths, integration strategies, and application architectures required to successfully implement complete solutions using best practices on Google Cloud.
        +
      • +
      • +Travel approximately 20% of the time, as needed for client engagements.
        +
      • +
      +
      +
      +

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      +

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      +

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      +

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/80695339438219974-industry-solutions-lead-ii-retail-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:02.925Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468859-industry-solutions-lead-ii-retail-google-cloud-at-google,,draft,2024-10-24T08:34:02.918Z,import-xml-feed:Google-Job-Feed,,,,,,, f6feb9dc-3d38-42bb-a866-e4bfed0bf257,347102950,Accenture,Salesforce Marketing and Data Cloud Senior Developer,on_site,"Toronto, ON, Canada",2024-10-21T08:44:01.717Z,"

      Job Description

      @@ -11168,6 +12469,7 @@ f6feb9dc-3d38-42bb-a866-e4bfed0bf257,347102950,Accenture,Salesforce Marketing an
    • Exceptionally strong leadership & communication skills to effectively manage client accounts and multidisciplinary teams

    • Experience in a consulting environment and/or digital agency with demonstrated track record of continuing responsibilities, creativity and innovation

    • +

      #LI-NA-FY25 and #LI-MP

      Locations

      @@ -11196,282 +12498,91 @@ f6feb9dc-3d38-42bb-a866-e4bfed0bf257,347102950,Accenture,Salesforce Marketing an
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00242107_en&title=Salesforce%20Marketing%20and%20Data%20Cloud%20Senior%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-20T08:44:01.732Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347102950-salesforce-marketing-and-data-cloud-senior-developer-at-accenture,,draft,2024-10-21T08:44:01.717Z,import-xml-feed:Accenture-Job-Feed,,,,,,, -e09bc9c1-9019-4b90-af9e-4dca5c8ba845,344287960,Scotiabank,"Activate: Strategic Functions New Graduate Development Program, Audit - Spring 2025",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:04.734Z,"

      -

      -

      -

      -

      Requisition ID: 207981

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Start Date: June 2025

      -

      Location: Toronto

      -

      Application Deadline: 10/11/2024

      -

      -

      Who Are We?

      -

      The Activate New Graduate Development Program is designed to kick-start your career at Scotiabank in your specific stream of Strategic Functions – when you apply, please be sure to apply to the Activate stream in which you want to specialize. Our Strategic Functions groups are the backbone of the Bank, with focus areas including Marketing, Human Resources, Compliance, Global Treasury, Risk Management, Audit, Finance, and our CPA Pre-Approved program. Each rotation in the Activate program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. You’ll also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

      -

      -

      Your Career as an Activate Program Associate:

      -

      You’ll join our Activate Development program as a full-time permanent employee and will spend 18-30 months rotating to pre-determined areas that will challenge you and provide you with opportunities to learn and grow into a Strategic Functions professional. Our goal at the end of the program is to land you into a permanent role in your area of focus – after 4-6 rotations, you’ll be set up to hit the ground running! These rotations are key to your development and aim to ensure you receive a wide breadth of experience in a short period of time. It also provides you with the opportunity to discover your passions and learn more about your areas of interest; you’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.

      -

      Each stream of the Activate Program has a dedicated recruiting process; this posting is for Global Audit. If you’re interested in one of the other streams of the Activate program, please search for the appropriate posting on our Scotiabank Careers page.

      -

      -

      What is Global Audit?

      -

      Audit professionals are collaborative communicators and independent thinkers who are curious to learn, and keen to leverage data analytics and innovative ideas to drive insights for recommendations to management. In Global Audit, we are looking for individuals who enjoy problem solving and can see the “big picture” in a complex environment. Candidates will learn how to evaluate the effectiveness of Governance, Risk Management and Internal Controls in the Bank’s business lines and core functions. As an Audit professional, you can make an impact by shaping the future of the Bank. This is not a CPA Pre-Approved role - you don't need to be a CPA to become an auditor. If you are bilingual Spanish speaker, that’s a plus! Apply to our Activate Audit stream where you can build on the skills above, while developing your passion for business analysis, risk management, and personal development.

      -

      -

      Qualifications/ Requirements:

      -

      This program is for students who have just graduated from a college diploma, undergraduate degree, or graduate degree who are looking to secure that job now to begin upon graduation. Individuals who are well-suited for this program are particularly interested in a specific stream of Strategic Functions and bring a strong curiosity and solutions-focused mindset to their work. They manage internal and external relationships exceptionally well and are focused on doing the right thing. They challenge themselves and the team members around them to find the best solutions possible. They bring a solutions-focused Attitude, they recognize Opportunities to not only learn but to contribute to team outcomes, and they show Ownership over their work and deliverables.

      -

      -

      How do I apply?

      -

      For students applying to one of our TILT New Grad programs we do not require resumes! Instead we ask that as part of your application, you complete the below:

      -
      1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your past plum results.
      2. Complete a short one-way video interview here. -
      3. -
      -

      *To be considered, you must complete all steps.

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Audit-Spring-2025-ON/584975917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287960-activate-strategic-functions-new-graduate-development-program-audit-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Audit-Spring-2025-ON/584975917/,draft,2024-09-30T16:30:04.734Z,import-xml-feed:Scotiabank,,,,,,, -cae3caf3-58c2-49d8-8317-2ac0b32e7c0e,344287961,Scotiabank,Scotiabank Global Wealth Management Sponsorship Program - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville,2024-09-30T16:30:04.882Z,"

      -

      -

      -

      -

      Requisition ID: 208111

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: Jan - April 2025

      -

      Application Deadline: 10/25/2024

      -

      -

      There's no better way to develop your career than to do a co-op or internship with Scotiabank Wealth Management! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      -

      -

      -

      Profiles:

      -

      -

      Positions are available in the following job categories:

      -
      • Finance
      • Operations
      • Data Analytics
      • Sales & Client Relations
      • Strategy & Projects
      • Admin & Support
      • -
      -

      -

      -

      We’d love to work with you if:

      -

      -
      • You are currently enrolled in post-secondary education at George Brown College.
      • You self-identify as being from an equity deserving group such as being Black, Indigenous, and/or living with a disability.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
      • You have experience in finance, accounting, or economics
      • You are highly motivated, independent, innovative, and results-oriented
      • You have excellent written and verbal communication skills
      • You are proficient in MS Word, MS Excel and MS Access
      • You work well under pressure
      • You can lead high volume, time sensitive projects
      • -
      -

      -

      -

      What’s in it for you?

      -

      -
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • -
      -

      -

      -

      How do I apply?

      -

      -

      Please complete all three steps below:

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete a short one-way video interview here.
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. -
      -

      -

      We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

      -

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

      -

      -

      -

      Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287961-scotiabank-global-wealth-management-sponsorship-program-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,draft,2024-09-30T16:30:04.882Z,import-xml-feed:Scotiabank,,,,,,, -5267c3e9-17c4-435b-9523-2d25108d9178,344240931,Loblaw Companies Ltd,"Senior Manager, Payment Decision Support",on_site,"Ontario, Canada",2024-09-30T08:19:02.299Z,"
      -

      Referred applicants should not apply directly to this role.

      -

      All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

      -

      -

      -

      Location:

      500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

      -

      When you hire great people, great things can happen.

      -

      PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

      -

      -

      Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

      -

      -

      Why this role is important

      -

      -

      The Payments Decision Support team’s mandate is to deepen our understanding of customers, embedding analytics in everyday decisions by developing analytical talent across the organization and utilizes leading technology and techniques. The Senior Manager will play a key role in leading the teams efforts in enterprise-wide strategic initiatives and accelerating insights and deep analytics to identify revenue growth opportunities and reducing operational expenses.

      -

      -

      What you will do

      -
        -
      • Translate the team\'s vision into actionable strategies and plans, ensuring alignment with organizational goals and objectives.
      • -
      • Lead analytical efforts for enterprise-wide initiatives and execution of analytical projects, including revenue generation, operational expense optimization, deep analytics, and operational reporting. Track and analyze results and financial performance to support initiatives, ensuring continuous improvement.
      • -
      • Provide effective leadership, and talent development by managing and nurturing a team of data analysts, setting performance expectations, providing direction, guidance, and support to foster a culture of continuous learning.
      • -
      • Foster strong relationships with key stakeholders, peers, and leaders across the organization to ensure effective stakeholder engagement and relationship building.
      • -
      • Drive the integration of analytics into daily decision-making processes, fostering a culture of data-driven insights that extends throughout the organization.
      • -
      • Communicate the value of data insights to non-technical stakeholders, emphasizing their impact on business decisions, and translate their needs into actionable analytics projects.
      • -
      • Explore and implement new data sources through creating standardized data tables; ensure data governance frameworks are established and followed to foster resiliency within the team.
      • -
      • Keep up with advancements in analytical techniques and methodologies to strengthen analytical efforts across the organization.
      • -
      -

      -

      What you bring

      -
        -
      • 5+ years of experience in data analytics; 3+ years of experience managing high preforming team
      • -
      • Proficient in data analytics tools and techniques (e.g. data mining, data cleaning, statistical analysis, and predictive modeling).
      • -
      • Ability to create compelling data visualizations and dashboards to communicate insights effectively to non-technical stakeholders.
      • -
      • Knowledge of database systems and SQL for data retrieval, manipulation, and management.
      • -
      • Proficiency in programming languages commonly used in data analysis (e.g. Python, R, SAS, SQL, etc.)
      • -
      • Mastery of Excel for data analysis, including pivot tables, advanced formulas, and data manipulation.
      • -
      • Strong grasp of financial data, product knowledge, profit drivers an asset.
      • -
      • Undergraduate degree in Mathematics, Economics, Computer Science, Engineering or equivalent.
      • -
      -
        -
      • Strong leadership skills to inspire and guide data insights team, setting a clear vision and fostering a collaborative culture.
      • -
      • Effective communication skills, both written and verbal, to convey complex data insights to non-technical stakeholders.
      • -
      • Ability to build and maintain relationships with business leaders and executives, understanding their needs and aligning analytics efforts accordingly.
      • -
      • Proficient with managing projects to ensure they are delivered on time and within scope.
      • -
      • Strong analytical and critical thinking abilities to solve complex business problems using data-driven approaches.
      • -
      • Mentor, and develop analytical talent, promoting a culture of continuous learning.
      • -
      • Effective time management skills to balance multiple responsibilities and priorities.
      • -
      -

      -

      Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

      -

      -

      -

      Number of Openings:

      1

      -

      PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

      -

      -

      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

      -

      -

      -

      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

      -

      -

      -

      -

      -

      -

      -
      ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Senior-Manager--Strategy-and-Product_R2000475394?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-10-30T08:19:02.316Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344240931-senior-manager-payment-decision-support-at-loblaw-companies-ltd,,draft,2024-09-30T08:19:02.299Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, -333d2d3f-3a9a-42d8-bed2-94854e374c1c,343660827,RBC,Data Centre Specialist,on_site,"Toronto, ON, Canada",2024-09-26T08:20:01.910Z,"
      -

      Job Summary

      -

      +6b835b57-961e-43de-947c-443069f4edc7,347469160,Roche,RWD Analytics Engineer,on_site,"Ontario, Canada",2024-10-24T08:58:01.799Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      Job Description

      -

      -

      What is the opportunity?

      -

      -

      The successful candidate will be responsible for the efficient installation, operation and maintenance of computer systems for an enterprise mission critical data center, including efficient and strategic completion of preventative maintenance, work requests and responses to day-to-day operational activities on a 24hr X 7day rotation.

      -

      -

      Personnel will provide the support necessary to complete electronic hardware installations within Data Centre cabinets, including some cabling requirements, management module configuration and troubleshooting using a Remote Operations Model.

      -

      -

      The incumbent will assist in the execution of tasks in highly sensitive environments, as well as provide general supervision of vendors and the operation of building systems, including various computer and network hardware.

      +

      +

      The Position

      +

      Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

      -

      The individual will be a primary contact for all client, security and operational engagements between the hours of their scheduled shift. This focal point will drive daily priorities and distribute work to additional team members when needed.

      +

      You will be supporting projects that require harmonization of source data models to/from common data models such as OMOP or FHIR. Occasionally, this may include custom data models, depending on product/project needs. You will be collaborating with clinical terminologists, medical informatics architects, data engineers, and data scientists to produce data sets that are ready for analysis or model building. You will also be responsible for creating and applying tests to the data pipeline using state of the art approaches, ensuring that the mapped data retain the same semantics as the original data within the context of specific use cases.

      -

      What will you do?

      -
        -
      • Assist with ongoing issues with day to day operations by responding to Incident engagements, audit requirements and process documentation.

      • -
      • Ensure all requests within the ticketing system are acted on accordingly and status updates are submitted for any new or existing hardware installations.

      • -
      • Perform hardware upgrades, firmware updates, troubleshoot remote connectivity, resolve build errors or hardware issues and perform diagnostics.

      • -
      • Handle deliveries of computer equipment and parts that arrive on site and administer the inventory as required.

      • -
      • Communicate with other technology platform clients to determine client demands and assist with various vendor equipment.

      • -
      • Participate in checking and monitoring of control room operations, building systems and assist with preventative maintenance duties.

      • -
      • Assist with documentation and policy creation. Coordinate and attend training sessions as required.

      • -
      • May be only IT staff member on duty during certain shifts; may be required to work extended periods of time without relief when responding to priority /emergency situations (including extreme weather and/or overtime type assignments)

      • -
      +

      In addition to supporting specific projects with analytics engineering needs, you will also leverage this experience to help design and develop scalable ways for mapping data.

      -

      What do you need to succeed?

      +

      The Opportunity:

      -

      Must have:

        -
      • High School Diploma or GED equivalent.

      • -
      • Experience with Computer Operating Systems, Software and Hardware.

      • -
      • Physical requirement to include stooping, standing, climbing and frequent lifting of a minimum of 50 lbs, of equipment (computer systems, tools, ladders) and ability to safely use lifting devices.

      • -
      • Able to work on a 24hr X 7 day rotation.

      • +
      • Syntactically and semantically map data to/from RWD common data models (e.g., OMOP, FHIR) using dbt or similar tools

      • +
      • Design, develop, and test ETL/ELT pipelines for real world data

      • +
      • Provide complete documentation and communication of all processes, methods, and results

      • +
      • Integrate vocabularies/terminologies using REST APIs and/or via relational tables

      • +
      • Co-create scalable approaches for mapping data using declarative and functional programming approaches

      -

      -

      Nice to have:

        -
      • Trade certificate and other technical training would be considered an asset.

      • -
      • Information Technology certifications including ITIL, Network+, A+, CCNA.

      • -
      • Experience with HVAC, chillers and electrical and mechanical components.

      • -
      • Possess and maintain a valid driver’s license and good driving record with periodic checks.

      • +
      • Understand the complexities of RWD use cases from both business and IT/technical perspectives and develop a strategic approach to balance short-term benefits and long-term costs and contribute and share learnings throughout RWD communities

      • +
      • Partner with data scientists to understand and address their need as well as with IT business domain leadership to influence product roadmaps

      -

      What’s in it for you?

      +

      Who you are:

      -

      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

        -
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable.

      • -
      • Leaders who support your development through coaching and managing opportunities.

      • -
      • Ability to make a difference and lasting impact.

      • -
      • Work in a dynamic, collaborative, progressive, and high-performing team.

      • -
      • Opportunities to take on progressively greater accountabilities.

      • -
      • Participation with implementations of new and emerging technologies.

      • +
      • 5+ years of relevant experience and a Bachelor’s or Master’s degree in computer science, data science, informatics

      • +
      • Hands-on experience with healthcare data in at least one of the following disease areas: oncology, neuro, immunology, infectious diseases, ophthalmology, cardiovascular and metabolism

      • +
      • Hands-on experience with real world data, specifically OMOP

      • +
      • Experience with terminology integration, including OHDSI Athena and UMLS

      • +
      • Python (numpy, pandas, etc.) or R, SQL, CI/CD, git.

      • +
      • (Preferred) Experience with semantic web technologies (e.g., SPARQL, RDF, OWL, Turtle)

      • +
      • Hands-on experience with relational databases and cloud platforms such as Snowflake

      • +
      • (Preferred) Experience with graph databases such as Neo4j and GraphDB and SDTM

      -

      #LI-POST

      -

      -

      -

      Job Skills

      Customer Service, Data Center Administration, Data Center Facility Management, Decision Making, Group Problem Solving, Hardware Infrastructure, Hardware Installations, System Integration Testing (SIT), Technical Troubleshooting, Time Management

      -

      -

      -

      Additional Job Details

      -

      Address:

      1 CRANE AVE:STRATFORD

      City:

      STRATFORD

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      TECHNOLOGY AND OPERATIONS

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-09-11

      Application Deadline:

      2024-10-01

      -

      -

      -

      -

      -
      -

      Inclusion and Equal Opportunity Employment

      -

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      -
      +

      Relocation benefits are not available for this posting.

      +

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +

      -

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      -
      ",,https://jobs.rbc.com/ca/en/job/R-0000099020/Data-Centre-Specialist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-03T08:25:04.897Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343660827-data-centre-specialist-at-rbc,,draft,2024-09-26T08:20:01.910Z,import-xml-feed:RBC-Job-Feed,,,,,,, -0e9ad791-b13b-4526-9e1f-e9e0b53e1676,344243745,Roche,IT Continuity Specialist,on_site,"Ontario, Canada",2024-09-30T08:58:02.474Z,"
      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202405-111611/RWD-Analytics-Engineer,feed-importer@jobboard.io,,,,2024-11-23T08:58:01.799Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469160-rwd-analytics-engineer-at-roche,,draft,2024-10-24T08:58:01.799Z,import-xml-feed:Selenium-Scraper,,,,,,, +fe8d5860-9867-43a0-9ac3-b67705aef3c2,347469164,Roche,IT Business Analyst Intern,on_site,"Ontario, Canada",2024-10-24T08:58:01.972Z,"

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      The Position

      -

      About Roche Informatics

      -

      In Roche Informatics, we build on Roche\'s 125-year history as one of the world\'s largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients\' needs motivates us to deliver technology that evolves the practice of medicine.

      -

      Be part of our inclusive team at Roche Informatics, where we\'re driven by a shared passion for technological novelties and optimal IT solutions.

      -

      -

      About the position

      -

      Do you have a strong background on managing IT Continuity & Risk Management effectively for critical systems and demonstrated experience on multiple projects who is looking for a creative, challenging and fun work environment and an opportunity to expand your skills? Then the Security, Testing and Validation Chapter is looking for you!

      -

      -

      As an IT Continuity Specialist, you will be accountable for providing guidance in the planning, development, execution, maintenance and testing of Enterprise Business Continuity, Disaster Recovery and Crisis/Incident Management activities, along with being responsible for risk assessments of systems, services as well as for third parties to evaluate cyber resiliency and compliance with internal and external requirements. Additional accountabilities include compliance management, supporting BC/DR audit and examination activities together with development & maintenance of policies, standards & procedures that are aligned with the best practices (for example: NIST, ISO, COBIT).

      +

      The Opportunity:

      -

      This position will be supporting the Product Managers across Informatics.

      +

      As an IT Business Analyst Intern, you will chip in to a variety of projects and initiatives within Informatics, a global IT organization within Roche that enables business strategy across 2 major divisions: Pharmaceuticals & Diagnostics. As a member of the Product Analysis and Consultancy (PAC) Chapter, you will be partnered with Senior Business Analysts, Technical Consultants, and User Experience (UX) guides completing IT projects throughout the entire digital Product Life Cycle. You will also work closely with IT Product Managers, IT Development Teams, and Business Stakeholders to build and improve IT solutions that make valuable contributions to the organization.

      -

      Your key responsibilities:

      +

      In this internship, you will have the opportunity to engage in a variety of dynamic areas that will improve your development and build your business acumen. These areas include Data Science & Machine Learning, Commercial Data & Insights, Medical Analytics & Productivity Tools, Disease Area Strategy, Advanced Therapies & Medical Products, Medical Affairs & Clinical Trials, Marketing Planning & Automation, Patient Engagement & Retention, and Technical Operations & IT Infrastructure.

        -
      • Manage the coordination, analysis and integration of Risk Management and IT Continuity activities, to ensure that the appropriate levels of resilience are in place.

      • -
      • Conducting risk assessments for systems and services to assess security and data privacy control requirements.

      • -
      • Maintains a comprehensive IT testing schedule, supports the testing of all continuity plans in line with business requirements.

      • -
      • Able to articulate and facilitate the understanding of a system’s intended use and its compliance risk profile.

      • -
      • Maintaining industry knowledge and skills in the areas of compliance, IT Business Continuity, audit, and risk management and applying them to improve internal processes and practices.

      • -
      • Ensures that all IT continuity management plans, risks and activities underpin and align with all business continuity plans, risks and activities.

      • -
      • Assists in creating regular reporting and status updates for IT and Business continuity.

      • -
      • Ensure the recovery capabilities are enforced and integrated into Disaster Recovery Plans, meeting business as well as regulatory requirements.

      • -
      • Foster a culture of Continuity & Risk/Resilience readiness within the IT community through awareness training and embedding it on the product design.

      • +
      • Understand and align internal and external customer expectations, and connect with the project team and stakeholders to gain their support.

      • +
      • Collaborate with stakeholders and domain experts to elicit requirements for new applications or modifications to existing platforms.

      • +
      • Partner with extended Product teams to examine, test, and review improvements, crafting supporting documentation like test scripts, process flow diagrams, and acceptance criteria.

      • +
      • Support user acceptance testing (UAT), user training on new technology solutions, and conduct usability analysis to identify design improvements and new features.

      • +
      • Assist in evaluating new technology solutions, build and maintain training and system documentation, and participate in various IT, corporate, and CSR activities.

      -

      Your qualifications and experience:

      +

      Who you are:

        -
      • 3+ years of relevant experience: In IT system/service technical, and or Disaster Recovery/Business Continuity/Risk Management in a large global enterprise IT environment with knowledge on Business/IT Continuity processes, Risk Management and Operational Resilience initiatives.

      • -
      • Able to present to executive forums on risk profile and continuity preparation and testing.

      • -
      • Communication skills - ability to communicate complex information, issues, and potential solutions at an executive level.

      • -
      • Familiar with health authority regulations, software development lifecycle, information security, ITIL processes and infrastructure, cloud & data center technologies

      • -
      • Skills in relationship building, customer-focus, decision-making, and problem solving.

      • -
      • Demonstrated ability to quickly learn business priorities in unfamiliar or ambiguous areas.

      • -
      • The following certifications are a plus: BCI, DRI, CISA, CRISC, CISSP, Control frameworks and Standards such as COBIT, NIST and ISO 31000, ISO 22301 & ISO 27000 family.

      • -
      • Audit and Compliance management experience would be considered an asset.

      • -
      • Understanding of Agile methodologies/ scaled agile (SAFe) delivery is an asset.

      • +
      • Currently enrolled in an undergraduate degree or equivalent programs in Biotechnology, Information Technology, Business and Science, Healthcare, Data Analytics, Computer Science and related fields.

      • +
      • Demonstrates a desire to learn more in Healthcare Information Technology, Business & Data Analytics, or pursue a career in IT and/or the Biotech industry, with familiarity in the Google suite of components.

      • +
      • Possesses critical thinking skills to implement IT business solutions, along with excellent listening, written, and verbal communication abilities.

      • +
      • Experience in requirements elicitation is an asset and enjoys collaborating with large multi-functional teams in an Agile environment.

      • +
      • Has the drive to work autonomously, navigate roadblocks, be resourceful, and shows a passion for being a team-oriented player.

      -

      What you get:

      +

      Additional Information

        -
      • Great working environment with attractive compensation and rewards package (according to local regulations);

      • -
      • Annual bonus payment based on performance;

      • -
      • Access to various internal and external training platforms (e.g. Linkedin Learning);

      • -
      • Experienced and professional colleagues and workplace that supports innovation;

      • -
      • Multiple Savings Plans with Employer Match

      • -
      • Company’s emphasis on employees’ wellness and work-life balance ( (e.g. generous vacation days and OneRoche Wellness Days ),

      • -
      • Flexible workplace policy;

      • -
      • State of art working environment and facilities;

      • -
      • And many more that the Talent Acquisition Partner will be happy to talk about!

      • +
      • This position is an 8-month work term (full-time) and is expected to begin in January 2025

      • +
      • Our team follows a hybrid work structure (minimum 2 days in the office).

      -

      This position is not eligible for relocation support.

      -

      -

      #ITcareers
      #LI-PK1

      +

      Relocation benefits are not available for this job posting.

      Who we are

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      @@ -11483,155 +12594,66 @@ cae3caf3-58c2-49d8-8317-2ac0b32e7c0e,344287961,Scotiabank,Scotiabank Global Weal

      Roche is an Equal Opportunity Employer.

      -
      ",,https://careers.roche.com/global/en/job/202312-128418/IT-Continuity-Specialist,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243745-it-continuity-specialist-at-roche,,draft,2024-09-30T08:58:02.474Z,import-xml-feed:Selenium-Scraper,,,,,,, -833cfbe7-2d13-433c-bd18-376ec0dcaa10,344243749,OMERS,"Manager, Technology Strategy & Innovation (Capital Markets)",on_site,"Ontario, Canada",2024-09-30T08:58:02.748Z,"
      -

      Choose a workplace that empowers your impact.

      -

      Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

      -

      -

      We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

      -

      -

      Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

      -

      -

      Don’t just work anywhere — come build tomorrow together with us.

      +
      ",,https://careers.roche.com/global/en/job/202408-120205/IT-Business-Analyst-Intern,feed-importer@jobboard.io,,,,2024-11-23T08:58:01.972Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469164-it-business-analyst-intern-at-roche,,draft,2024-10-24T08:58:01.972Z,import-xml-feed:Selenium-Scraper,,,,,,, +9795fc07-18fb-4b66-8ff6-a709e14c1edd,347469942,CIBC,Portfolio Financial Consultant,on_site,"Ontario, Canada",2024-10-24T10:09:02.045Z,"
      +

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      -

      Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

      -

      -

      +

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      -

      Reporting to the VP of Customer Success and Innovation, as the Manager of Technology Strategy and Innovation, your primary accountability is to support the relationship between D&T and Capital Markets. You will be responsible for fostering strong relationships, supporting the technology business partner function, and aligning technology with business objectives.

      +

      To learn more about CIBC, please visit CIBC.com

      -

      You will play a key role in driving the strategic alignment between technology and business objectives. This role will support the development of the technology strategy, the transformational change journey, and will play a key role in fostering a culture of innovation at the forefront of technological advancement for the customers.

      -

      A Customer Success Manager plays a pivotal role in ensuring that customers achieve their desired outcomes while using Data and Technology products and services. Their main responsibilities include providing continuous support to customers to maximize their satisfaction and success by proactively engaging with them to understand their needs and challenges. This involves monitoring customer health metrics, addressing any issues promptly, and acting as a liaison between the customer and technology teams. Additionally, the role entails developing/supporting a customer technology strategy with businesses, assessing the impact of emerging technology, ensuring cost transparency, delivering value, and ultimately fostering a harmonious relationship between all of D&T and their customers.

      +

      What you\'ll be doing

      -

      This role aims to understand the business strategy of our customers to effectively influence decision-makers and drive innovation to enhance business performance.

      +

      As the Portfolio Financial Consultant, you will report to the Director, Portfolio Initiatives & Execution and will be leading the timely delivery and accuracy of health and financial information with value-add insights on all CIBC Canadian Banking project investment funded by EPP (Enterprise Project Portfolio), by Partners and by Line of Business DOE (Direct Operating Expenses). You will be maintaining relationships with the Line of Business Executives and Leaders, Delivery Leads and respective delivery teams, business partners and technology teams, Strategic Growth Initiatives (SGI) Office, Enterprise Project Office (EPO) to ensure compliance on all aspects of the project investments governance.

      -

      Key Responsibilities

      -

      Customer Success

      -
        -
      • Collaborate with customers to understand their needs and challenges, suggest technological solutions to enhance their business, and support the Customer Success team in identifying areas for improved customer engagement.

      • -
      • Collaborate with business and technology teams to provide tailored and future-focused technology strategy and solutions that meet their needs.

      • -
      • Develop and maintain strong relationships with business teams and stakeholders.

      • -
      • Champion the adoption of core technology programs and initiatives to deliver on the D&T team’s collaborative priorities

      • -
      • Demonstrate curiosity in business processes to challenge the established thinking and help generate new ideas and approaches to problem solving.

      • -
      • Anticipate the technology implications of business strategies and advise and influence the leadership team accordingly.

      • -
      • Become an expert in the Data & Technology products and services to be able to make connections between customer needs and available offerings.

      • -
      • Leverage your comprehensive understanding of the enterprise to proactively identify trends and propose innovative ideas that can address technology issues

      • -
      • Apply independent, sound judgment and navigate complex issues with a view to customer success.

      • -
      +

      At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

      -

      Leadership and Influence

      +

      How you\'ll succeed

        -
      • Manage a team of Customer Success Analysts or Leads to ensure that they are delivering value to the business.

      • -
      • Build and lead a high-performing team, ensuring that they are aligned with organizational goals and possess the skills needed to drive success.

      • -
      • Possess strong leadership skills and ability to manage a team effectively.

      • -
      • The ability to resolve nebulous business challenges by clearly defining the problem, applying structure & logic, and developing a defined approach.

      • +
      • Project performance analytics and reporting Responsible for the production of aggregate reporting of the Canadian Banking project portfolio, monitoring overall performance and highlighting/escalating areas of concern. Appropriate value added recommendations are brought to the respective escalation points promptly for executive level decision making and minimize risk and impact to the overall business strategic goals.

      • +
      • Provide analytical insights – Provide insights on the portfolio management of financial and benefits. Reviewing trends and projections to accordingly provide analytical view of the data and recommendations. Recommend changes to business processes in order to enhance operational efficiency and effectiveness.

      • +
      • Maintain Relationships Partners and maintains ongoing open communication with transparency with primary stakeholders within the Canadian Banking business areas to ensure oversight and alignment on all for Canadian Banking programs, projects and initiatives information tracked and reported by the Canadian Banking PMO. Advocate/facilitate information gathering and sharing with the Business executives, leaders, owners and delivery managers, EPO, Enterprise Strategy Office, Canadian Banking Project and Business Finance, and Canadian Banking Executive and Leaders throughout the execution of Portfolio Management functions. Seek and foster cooperation at all times to timely achieve shared business goals and priorities

      -

      Collaboration

      +

      Who you are

        -
      • Build and nurture strong relationships with the Data and Technology teams.

      • -
      • Prioritize strong and effective cross-collaboration across Data and Technology.

      • -
      • Collaborate with the Technology Product and Services team to drive our business goals forward.

      • -
      • Leverage the D&T’s technical expertise to ensure our technology programs are not only innovative but also strategically aligned with the evolving needs of the business.

      • -
      • Share learnings with D&T to drive continuous improvement and operational effectiveness.

      • +
      • You can demonstrate experience. 5+ years of project management and/or financial reporting experience in the financial industry. You are comfortable communicating analytical insights to the audience including senior leaders. Ability to look at large amounts of data to extrapolate investment insights like trends, risks, potential gaps within the portfolio. Proficiency in reporting tools of Excel, Alteryx and Tableau along with strong knowledge of data management standards.

      • +
      • You have a degree/diploma. In mathematics, statistics, finance, project management, computer science, and/or related field.

      • +
      • You can demonstrate knowledge. Knowledge of Personal & Business Banking Products and Canadian Commercial and Wealth including systems and processes. You understand business end-to-end scenarios from a client, business user and product management view.

      • +
      • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.

      • +
      • You\'re passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.

      • +
      • You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

      • +
      • You embrace and advocate for change. You continuously evolve your thinking and the way you work in order to deliver your best.

      • +
      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

      -

      -

      Innovation

      +

      +

      What CIBC Offers

      +

      +

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

        -
      • Support the development and execution of innovation initiatives in partnership with the broader team with a focus on customer needs.

      • -
      • Stay current on innovative and emerging technology advancements.

      • -
      • Proactively engage with business leaders to identify innovative opportunities for technology to drive business growth and assist with the development of business-specific technology strategy maps that drive strategic direction.

      • -
      • Develop and maintain a technology roadmap that supports business objectives.

      • +
      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

      • +
      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

      • +
      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

      +

      +

      *Subject to plan and program terms and conditions

      -

      Qualifications:

      +

      What you need to know

        -
      • Bachelor\'s degree in a relevant field; advanced degree (MBA, MSc) preferred.

      • -
      • 5-7 years of experience in technology driven roles.

      • -
      • Familiarity with Investment and Capital Markets is strongly preferred. This includes knowledge of financial markets, investment products and the investment analytics space.

      • -
      • Proven experience in a management role within technology business partnering or a related function with a strong focus on the customer experience.

      • -
      • Proven ability to translate business needs into effective technology.

      • -
      • Familiarity with enterprise architecture and IT governance frameworks.

      • -
      • Experience working with and successfully influencing management.

      • -
      • Strong business acumen and ability to understand business strategy and objectives.

      • -
      • Understanding of business operations, market dynamics, and technology emerging trends

      • -
      • Exceptional strategic thinking and problem-solving skills.

      • -
      • Leadership skills and ability to manage a team effectively.

      • -
      • Track record of successfully leading technology teams and driving innovation.

      • -
      • Excellent communication skills - should be able to explain the technical aspects in the non-technical language to the business and relevant stakeholders.

      • -
      • Strong leadership, coaching, conflict resolution, and relationship management skills.

      • -
      • Proven ability to earn trust through data-based insights, delivering results, influencing, and relating to others.

      • -
      • Excellent resiliency and ability to navigate complex scenarios.

      • +
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • +
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • +
      • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

      -

      We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

      -

      -

      -

      As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

      -

      -

      From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

      -
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Manager--Technology-Strategy---Innovation--Capital-Markets-_JR-6315?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-30T08:58:02.748Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344243749-manager-technology-strategy-innovation-capital-markets-at-omers,,draft,2024-09-30T08:58:02.748Z,import-xml-feed:Selenium-Scraper,,,,,,, -437533f5-24fd-4109-8ac5-0b2938dc26a5,344243751,CN,Expert OT Security Architecture,on_site,"Ontario, Canada",2024-09-30T08:58:03.777Z,"

      -

      -

      At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

      -

      Job Summary

      -

      The purpose of this role is to evaluate Operational Technology (OT) solutions, configurations, and designs against security requirements, and define cybersecurity reference architectures and standards for all OT environments at CN.

      -

      Main Responsibilities

      -

      OT Security Architecture Practice

      -

      · Put in place the proper sets of OT security architecture controls to ensure authenticity, non-repudiation, and least privilege commensurate with risk requirements.

      -

      · Ensure the OT security architecture is maintainable, sustainable and properly documented.

      -

      · Maintain and build relevant, current, valid and reliable team knowledge related to OT and Security Architecture to leverage existing cybersecurity infrastructure and process, where appropriate, while supporting Transportation, Mechanical and Network Ops functions in enacting risk-based security controls as part of a broader OT environment.

      -

      · Facilitate key decisions involving OT architecture and technologies.

      -

      · Advance security team accomplishments and competence by planning delivery of solutions; answering technical and procedural questions for less experienced team members; teaching improved processes; mentoring team members.

      -

      · Ensure the full documentation of security designs, as built architectures and operational processes through clear diagrams and well-written documents.

      -

      -

      OT Security Roadmap and Strategy

      -

      · Collaborate with the CISO, Sr Mgr OT Security Architecture, cybersecurity team, portfolio managers, other architects, and I&T leadership to understand the business direction and consequent impact on the security posture.

      -

      · Define the proper course of action and investment strategy by building business cases and security roadmaps.

      -

      · Engage the OT vendor ecosystem to understand capabilities and limitations to drive improvements in the security posture of current products, and assist in the selection of the right partners.

      -

      · Continuously monitor and evaluate the environment through self-assessments and independent security reviews. Enable management to identify deficiencies and inefficiencies and to initiate improvement actions though security roadmap and strategies.

      -

      Requirements

      -

      Education/Certification/Designation

      -

      · Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, System Analysis or other relevant field

      -

      · At least one recognized security certification: e.g. Certified Information Systems Security Professional (CISSP), Global Industrial Cyber Security Professional (GICSP), ISA/IEC 62443 Cybersecurity Expert, etc.

      -

      · Architecture related certifications (TOGAF, Zachman, CISSP-ISSAP, etc.) preferred

      -


      Skills/Knowledge

      -

      · Ability to define and organise an architecture security apparatus in reusable building blocks: patterns, services, components, capability models, etc;

      -

      · Demonstrated capability to understand the security implications of complex business operations and how they are linked to technological solutions that provide practical risk mitigation and business enablement;

      -

      · Strong knowledge of the processes, methodologies, tools and techniques, used for building large information technology systems;

      -

      · Proven experience in applying a structured approach to problem resolution in large, geographically dispersed organizations with 24/7 operations;

      -

      · Strong knowledge of the technologies and architecture principles required to build complex operational technology systems such as: Programmable Logic Controllers (PLCs); Supervisory Control and Data Acquisition (SCADA); Distributed Control Systems (DCS); Human Machine Interface (HMI); Industrial network ports and protocols (such as TCP/IP, UDP, DNP3, Modbus, IEC 61850, PROFINET, OPC, LonWorks, DALI, BACnet, KNX, EnOcean, etc.); etc;

      -

      · Deep understanding of ICS design considerations with emphasis on human safety and the availability/security of operating environment as well as threats, vulnerabilities, and exploits in ICS environments and appropriate mitigation techniques.

      -

      · Ability to derive security requirements from vaguely formulated business needs;

      -

      · Ability to interact with a broad cross-section of personnel to explain and enforce security measures

      -

      · Excellent written and verbal communication skills;

      -

      · Detail-oriented self-starter with a high level of commitment and personal motivation;

      -

      · Knack for prioritizing tasks and working in a fast-paced environment;

      -

      · Knowledge of standards, regulations and legislation governing Information Security, e.g. NIST, ISO 27001, OWASP, ISA 62443;

      -

      -

      Experience

      -

      · Minimum 12 years overall IT work experience

      -

      · Minimum 8 years OT experience

      -

      · Minimum 5 years experience in OT security architecture experience

      -

      Assets (if applicable)

      -

      · Software development experience

      -

      · Experience with Agile and DevOps methodologies

      -

      · Knowledge of general IT security architecture and technologies including: service-oriented-architectures, mobile technologies including Mobile Device Management (MDM), data-centric design, advanced analytics, AI, Identity and Access Management (IAM) lifecycles, Digital Forensics, End Point Encryption, Encryption Key Management, Database Security, Enterprise Directory Services, IDS, IPS, Next Generation Firewall, Application Firewall, Enterprise Password Vaults , Cloud SaaS /PaaS/IaaS Security, SIEM, etc.

      -

      · Deep knowledge of security foundations: cryptography, Root of Trust, security models, etc.

      -

      · Experience with NGFW, VPN, IPS/BDS, vulnerability management, access management, SIEM, and endpoint security in OT environments

      -

      · Railroad, transportation, or Global industrial experience is a significant plus

      -

      Working Conditions

      -

      Occasional business travel (Canada and US) in accordance with CN policy.

      -

      This position is posted as a grade LEVEL 7. For internal candidates, note that the grade level of the position may adjust based on the employee\'s experience.

      -

      About CN

      -

      CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

      -

      CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

      -

      CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      -
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14529?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-10-30T08:58:03.778Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243751-expert-ot-security-architecture-at-cn,,draft,2024-09-30T08:58:03.777Z,import-xml-feed:Selenium-Scraper,,,,,,, +

      +

      Job Location

      Toronto-81 Bay, 23rd Floor

      +

      Employment Type

      Regular

      +

      Weekly Hours

      37.5

      +

      Skills

      Accounting, Analytical Thinking, Communication, Deposit Products, Expense Forecasting, Financial Reporting and Analysis, Lending Products, Market Analysis, Process Improvements
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Portfolio-Financial-Consultant_2420879-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-23T10:09:02.062Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469942-portfolio-financial-consultant-at-cibc,,draft,2024-10-24T10:09:02.045Z,import-xml-feed:CIBC-Job-Feed,,,,,,, f0654da5-5db5-409d-b8ec-ca08723fd6da,343662423,Ada,"Intermediate Software Engineer, Full Stack/Frontend",on_site,"Ontario, Canada",2024-09-26T08:58:04.322Z,"
      @@ -11785,6 +12807,72 @@ b33aff52-9ab1-42cd-9551-c90a41d66961,343662424,Ada,"Intermediate Software Engine

      Roche is an Equal Opportunity Employer.

      ",,https://careers.roche.com/global/en/job/202408-120793/Technical-Excellence-Data-Standards-and-Governance-Intern,feed-importer@jobboard.io,,,,2024-10-07T09:03:03.201Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344787653-technical-excellence-data-standards-and-governance-intern-at-roche,,draft,2024-10-03T08:58:02.291Z,import-xml-feed:Selenium-Scraper,,,,,,, +cfccd308-e7f9-4802-9e23-e0ebbcfa4dad,344839857,Scotiabank,Service Support Officer Wealth Management Intern/Co-op Winter 2025 Central Ontario,on_site,Canada : Ontario : Burlington || Canada : Ontario : Barrie || Canada : Ontario : Hamilton || Canada : Ontario : Mississauga,2024-10-03T16:31:07.071Z,"

      +

      +

      +

      +

      Requisition ID: 208239

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      +

      Start Date: January 6th

      +

      Application Deadline: 10/18/2024

      +

      +

      The Service Support Officer contributes to the overall success of the Private Banking team by ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s objectives. The incumbent delivers exceptional personal service in all activities completed to support the Private Banking team. This includes ensuring all activities are conducted within compliance with governing regulations, internal policies, and procedures.

      +

      +

      Is this role right for you? In this role, you will:

      +

      +
      • Delivering the desired Client Experience by consistently applying the Service basics during all client/PB team interactions.
      • Providing consistently excellent client experiences.
      • Demonstrating ‘Our Service Promise’ by being best at the basics: Friendly, Willing to Assist, Efficient and Professional.
      • Demonstrating confidence and knowledge by ensuring transactions are thorough and accurate.
      • Demonstrating respect and knowledge in interactions with the APB/Banker.
      • Providing exceptional service and support combined with innovative approaches to resolving Client’s and the Private Banking Team’s service issues while adhering to policy and procedures.
      • Providing support to the PB Team with client concerns and complaints. Raise any client complaints to the PB Team that have been brought the Service Support Officers’ attention.
      • Adhering to cash, custody and security procedures and Bank policies at all times. o Adhering to position authorities and bank policies.
      • Accurately processing daily transactions and Service Requests from Salesforce originated by the Private Banking Team and Clients.
      • Checking/authorizing transactions with approved limits.
      • Daily completion of the Accounting Support Package as outlined in the ASP at a glance for Sales Support Officers document.
      • Ensuring accurate and timely completion of daily and periodic monitoring activities including Automated Control System, Worklist Management Exceptions, Work Hub, Digital Courier.
      • Escalating fraudulent activities, unusual occurrences, issues/deficiencies/trends to your direct supervisor and/or Team Lead and/or AML and/or Branch Compliance Officer (BCO) and/or Chief Compliance Officers and/or applicable Shared Services Department as appropriate.
      • Adhere to compliance with regulatory activities and guidelines as part of the service process, including Privacy, Occupational Health & Safety (OHS), Anti-Money Laundering (AML), Anti-Terrorist Financing, Financial Consumer Agency of Canada (FCAC), Know Your Customer (KYC), Canadian Deposit Insurance Corporation (CDIC), Mutual Fund Dealer Association (MFDA) rules, regulations, and policies, as well as Scotia Securities Inc. (SSI) guidelines/processes and Guidelines for Business Conduct.
      • Champions a high-performance environment and contributes to an inclusive work environment.
      • +
      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
      • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
      • You have strong knowledge and understanding of financial statements and accounting principles
      • You have prior experience in providing customer needs-based advice and solutions
      • You have natural curiosity and passion for satisfying customer needs
      • You have analytical skills and strong attention to detail
      • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
      • You have problem solving skills
      • You have presentation skills
      • You have the ability to operate in a fast-paced, constantly changing environment
      • +
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +

      1. Complete your PLUM Profile here and save as a screenshot.

      +

      2. Complete a short one-way video interview here.

      +

      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      +

      +

      +

      Location(s): Canada : Ontario : Burlington || Canada : Ontario : Barrie || Canada : Ontario : Hamilton || Canada : Ontario : Mississauga

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Burlington-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Central-Ontario-ON/585126017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839857-service-support-officer-wealth-management-intern-co-op-winter-2025-central-ontario-at-scotiabank,https://jobs.scotiabank.com/job/Burlington-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Central-Ontario-ON/585126017/,draft,2024-10-03T16:31:07.071Z,import-xml-feed:Scotiabank,,,,,,, +95504bee-d472-413b-861c-cc14fdade182,344839859,Scotiabank,Service Support Officer Wealth Management Intern/Co-op Winter 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:07.255Z,"

      +

      +

      +

      +

      Requisition ID: 208238

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      +

      Start Date: January 6th

      +

      Application Deadline: 10/18/2024

      +

      +

      The Service Support Officer contributes to the overall success of the Private Banking team by ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s objectives. The incumbent delivers exceptional personal service in all activities completed to support the Private Banking team. This includes ensuring all activities are conducted within compliance with governing regulations, internal policies, and procedures.

      +

      +

      Is this role right for you? In this role, you will:

      +

      +
      • Delivering the desired Client Experience by consistently applying the Service basics during all client/PB team interactions.
      • Providing consistently excellent client experiences.
      • Demonstrating ‘Our Service Promise’ by being best at the basics: Friendly, Willing to Assist, Efficient and Professional.
      • Demonstrating confidence and knowledge by ensuring transactions are thorough and accurate.
      • Demonstrating respect and knowledge in interactions with the APB/Banker.
      • Providing exceptional service and support combined with innovative approaches to resolving Client’s and the Private Banking Team’s service issues while adhering to policy and procedures.
      • Providing support to the PB Team with client concerns and complaints. Raise any client complaints to the PB Team that have been brought the Service Support Officers’ attention.
      • Adhering to cash, custody and security procedures and Bank policies at all times. o Adhering to position authorities and bank policies.
      • Accurately processing daily transactions and Service Requests from Salesforce originated by the Private Banking Team and Clients.
      • Checking/authorizing transactions with approved limits.
      • Daily completion of the Accounting Support Package as outlined in the ASP at a glance for Sales Support Officers document.
      • Ensuring accurate and timely completion of daily and periodic monitoring activities including Automated Control System, Worklist Management Exceptions, Work Hub, Digital Courier.
      • Escalating fraudulent activities, unusual occurrences, issues/deficiencies/trends to your direct supervisor and/or Team Lead and/or AML and/or Branch Compliance Officer (BCO) and/or Chief Compliance Officers and/or applicable Shared Services Department as appropriate.
      • Adhere to compliance with regulatory activities and guidelines as part of the service process, including Privacy, Occupational Health & Safety (OHS), Anti-Money Laundering (AML), Anti-Terrorist Financing, Financial Consumer Agency of Canada (FCAC), Know Your Customer (KYC), Canadian Deposit Insurance Corporation (CDIC), Mutual Fund Dealer Association (MFDA) rules, regulations, and policies, as well as Scotia Securities Inc. (SSI) guidelines/processes and Guidelines for Business Conduct.
      • Champions a high-performance environment and contributes to an inclusive work environment.
      • +
      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
      • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
      • You have strong knowledge and understanding of financial statements and accounting principles
      • You have prior experience in providing customer needs-based advice and solutions
      • You have natural curiosity and passion for satisfying customer needs
      • You have analytical skills and strong attention to detail
      • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
      • You have problem solving skills
      • You have presentation skills
      • You have the ability to operate in a fast-paced, constantly changing environment
      • +
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +

      1. Complete your PLUM Profile here and save as a screenshot.

      +

      2. Complete a short one-way video interview here.

      +

      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      +

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Toronto-ON/585125617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839859-service-support-officer-wealth-management-intern-co-op-winter-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Toronto-ON/585125617/,draft,2024-10-03T16:31:07.255Z,import-xml-feed:Scotiabank,,,,,,, bde4fe18-8855-408e-a05c-1e91cd1f36b1,343713813,Magna International,Sales Coordinator,on_site,"Woodbridge, ONTARIO, CA",2024-09-26T16:41:04.537Z,"

      About the Role

      @@ -11963,72 +13051,6 @@ ecaf378f-7a71-44f8-8e19-899528d727a7,344839960,Magna International,"Health, Safe
    • Effectively communicate and present strategies, solutions, insights, and reports to a mix of stakeholders at various levels
    • Experience in a leadership role, providing engaged mentorship and knowledge sharing to the team and junior/intermediate level analysts
    • Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-07T16:40:03.322Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706893-soc-analyst-l2-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25103?lang=en-us,draft,2024-09-26T16:34:03.866Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -cfccd308-e7f9-4802-9e23-e0ebbcfa4dad,344839857,Scotiabank,Service Support Officer Wealth Management Intern/Co-op Winter 2025 Central Ontario,on_site,Canada : Ontario : Burlington || Canada : Ontario : Barrie || Canada : Ontario : Hamilton || Canada : Ontario : Mississauga,2024-10-03T16:31:07.071Z,"

      -

      -

      -

      -

      Requisition ID: 208239

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      -

      Start Date: January 6th

      -

      Application Deadline: 10/18/2024

      -

      -

      The Service Support Officer contributes to the overall success of the Private Banking team by ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s objectives. The incumbent delivers exceptional personal service in all activities completed to support the Private Banking team. This includes ensuring all activities are conducted within compliance with governing regulations, internal policies, and procedures.

      -

      -

      Is this role right for you? In this role, you will:

      -

      -
      • Delivering the desired Client Experience by consistently applying the Service basics during all client/PB team interactions.
      • Providing consistently excellent client experiences.
      • Demonstrating ‘Our Service Promise’ by being best at the basics: Friendly, Willing to Assist, Efficient and Professional.
      • Demonstrating confidence and knowledge by ensuring transactions are thorough and accurate.
      • Demonstrating respect and knowledge in interactions with the APB/Banker.
      • Providing exceptional service and support combined with innovative approaches to resolving Client’s and the Private Banking Team’s service issues while adhering to policy and procedures.
      • Providing support to the PB Team with client concerns and complaints. Raise any client complaints to the PB Team that have been brought the Service Support Officers’ attention.
      • Adhering to cash, custody and security procedures and Bank policies at all times. o Adhering to position authorities and bank policies.
      • Accurately processing daily transactions and Service Requests from Salesforce originated by the Private Banking Team and Clients.
      • Checking/authorizing transactions with approved limits.
      • Daily completion of the Accounting Support Package as outlined in the ASP at a glance for Sales Support Officers document.
      • Ensuring accurate and timely completion of daily and periodic monitoring activities including Automated Control System, Worklist Management Exceptions, Work Hub, Digital Courier.
      • Escalating fraudulent activities, unusual occurrences, issues/deficiencies/trends to your direct supervisor and/or Team Lead and/or AML and/or Branch Compliance Officer (BCO) and/or Chief Compliance Officers and/or applicable Shared Services Department as appropriate.
      • Adhere to compliance with regulatory activities and guidelines as part of the service process, including Privacy, Occupational Health & Safety (OHS), Anti-Money Laundering (AML), Anti-Terrorist Financing, Financial Consumer Agency of Canada (FCAC), Know Your Customer (KYC), Canadian Deposit Insurance Corporation (CDIC), Mutual Fund Dealer Association (MFDA) rules, regulations, and policies, as well as Scotia Securities Inc. (SSI) guidelines/processes and Guidelines for Business Conduct.
      • Champions a high-performance environment and contributes to an inclusive work environment.
      • -
      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -

      -
      • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
      • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
      • You have strong knowledge and understanding of financial statements and accounting principles
      • You have prior experience in providing customer needs-based advice and solutions
      • You have natural curiosity and passion for satisfying customer needs
      • You have analytical skills and strong attention to detail
      • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
      • You have problem solving skills
      • You have presentation skills
      • You have the ability to operate in a fast-paced, constantly changing environment
      • -
      -

      -

      How do I apply?

      -

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -

      -

      1. Complete your PLUM Profile here and save as a screenshot.

      -

      2. Complete a short one-way video interview here.

      -

      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      -

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      -

      -

      -

      Location(s): Canada : Ontario : Burlington || Canada : Ontario : Barrie || Canada : Ontario : Hamilton || Canada : Ontario : Mississauga

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Burlington-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Central-Ontario-ON/585126017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839857-service-support-officer-wealth-management-intern-co-op-winter-2025-central-ontario-at-scotiabank,https://jobs.scotiabank.com/job/Burlington-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Central-Ontario-ON/585126017/,draft,2024-10-03T16:31:07.071Z,import-xml-feed:Scotiabank,,,,,,, -95504bee-d472-413b-861c-cc14fdade182,344839859,Scotiabank,Service Support Officer Wealth Management Intern/Co-op Winter 2025 Toronto,on_site,Canada : Ontario : Toronto,2024-10-03T16:31:07.255Z,"

      -

      -

      -

      -

      Requisition ID: 208238

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      -

      Start Date: January 6th

      -

      Application Deadline: 10/18/2024

      -

      -

      The Service Support Officer contributes to the overall success of the Private Banking team by ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s objectives. The incumbent delivers exceptional personal service in all activities completed to support the Private Banking team. This includes ensuring all activities are conducted within compliance with governing regulations, internal policies, and procedures.

      -

      -

      Is this role right for you? In this role, you will:

      -

      -
      • Delivering the desired Client Experience by consistently applying the Service basics during all client/PB team interactions.
      • Providing consistently excellent client experiences.
      • Demonstrating ‘Our Service Promise’ by being best at the basics: Friendly, Willing to Assist, Efficient and Professional.
      • Demonstrating confidence and knowledge by ensuring transactions are thorough and accurate.
      • Demonstrating respect and knowledge in interactions with the APB/Banker.
      • Providing exceptional service and support combined with innovative approaches to resolving Client’s and the Private Banking Team’s service issues while adhering to policy and procedures.
      • Providing support to the PB Team with client concerns and complaints. Raise any client complaints to the PB Team that have been brought the Service Support Officers’ attention.
      • Adhering to cash, custody and security procedures and Bank policies at all times. o Adhering to position authorities and bank policies.
      • Accurately processing daily transactions and Service Requests from Salesforce originated by the Private Banking Team and Clients.
      • Checking/authorizing transactions with approved limits.
      • Daily completion of the Accounting Support Package as outlined in the ASP at a glance for Sales Support Officers document.
      • Ensuring accurate and timely completion of daily and periodic monitoring activities including Automated Control System, Worklist Management Exceptions, Work Hub, Digital Courier.
      • Escalating fraudulent activities, unusual occurrences, issues/deficiencies/trends to your direct supervisor and/or Team Lead and/or AML and/or Branch Compliance Officer (BCO) and/or Chief Compliance Officers and/or applicable Shared Services Department as appropriate.
      • Adhere to compliance with regulatory activities and guidelines as part of the service process, including Privacy, Occupational Health & Safety (OHS), Anti-Money Laundering (AML), Anti-Terrorist Financing, Financial Consumer Agency of Canada (FCAC), Know Your Customer (KYC), Canadian Deposit Insurance Corporation (CDIC), Mutual Fund Dealer Association (MFDA) rules, regulations, and policies, as well as Scotia Securities Inc. (SSI) guidelines/processes and Guidelines for Business Conduct.
      • Champions a high-performance environment and contributes to an inclusive work environment.
      • -
      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -

      -
      • You have excellent verbal, written and interpersonal skills, in order to develop and maintain relationships with Commercial business customers
      • You are enrolled in an MBA or undergrad degree in Business, Commerce, Finance, Accounting, or related discipline.
      • You have strong knowledge and understanding of financial statements and accounting principles
      • You have prior experience in providing customer needs-based advice and solutions
      • You have natural curiosity and passion for satisfying customer needs
      • You have analytical skills and strong attention to detail
      • You are able to use MS Word, Excel, PowerPoint, and Outlook effectively
      • You have problem solving skills
      • You have presentation skills
      • You have the ability to operate in a fast-paced, constantly changing environment
      • -
      -

      -

      How do I apply?

      -

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -

      -

      1. Complete your PLUM Profile here and save as a screenshot.

      -

      2. Complete a short one-way video interview here.

      -

      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

      -

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      -

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Toronto-ON/585125617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839859-service-support-officer-wealth-management-intern-co-op-winter-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Service-Support-Officer-Wealth-Management-InternCo-op-Winter-2025-Toronto-ON/585125617/,draft,2024-10-03T16:31:07.255Z,import-xml-feed:Scotiabank,,,,,,, a2f60089-6b00-472c-abfe-14f735dcf5d6,344839931,Deloitte,"Senior Specialist, Total Rewards (Compensation)",on_site,"Ontario, Canada",2024-10-03T16:35:02.798Z,"

      Job Type: Permanent
      Reference code: 127316
      Primary Location: Toronto, ON
      All Available Locations: Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Toronto, ON; Vancouver, BC; Victoria, BC; Winnipeg, MB

      @@ -12085,397 +13107,442 @@ a2f60089-6b00-472c-abfe-14f735dcf5d6,344839931,Deloitte,"Senior Specialist, Tota

      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Specialist%2C-Total-Rewards-%28Compensation%29-ON/1219242100/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-02T16:35:02.821Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344839931-senior-specialist-total-rewards-compensation-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Specialist%2C-Total-Rewards-%28Compensation%29-ON/1219242100/,draft,2024-10-03T16:35:02.798Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, -3350cbbe-b6c8-4f9e-942e-f0756baaf11a,346652964,Scotiabank,"Audit Manager, IT Audit",on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.681Z,"

      -

      -

      -

      -

      Requisition ID: 209119

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Purpose
      The Audit Department is the 3rd Line of Defense and plays a key role in the internal control system of the Bank. Its mandate is to provide enterprise-wide, independent, objective assurance over the design and operation of the Bank’s internal control, risk management and governance processes.

      -

      The objective of this position is to fulfill a Manager role, within a team of IT audit professionals, to assess the design and operational effectiveness of internal controls relating to IT technology, applications, data, third party, risk management, projects and related processes supporting businesses throughout Bank.

      -

      Accountabilities

      -
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

      • Act primarily as Team Participant or in some cases act as Officer-In-Charge (OIC) on assignments of low to medium complexity for assigned projects, processes and units.

      • Ensure Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

      • Execute assigned audit activities independently and as a team member under the direction of the OIC on assignments. This includes completion of audit testing, discussions with management and documentation of work performed.

      • Executes, plans, and reports on the assigned audit projects. Obtains a thorough understanding of the business/unit/process and associated risks, develops a risk-based audit plan/procedures, and schedules timing and resources.

      • Delivers end-to- end process of the execution of the audit, and ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. Completes timely review of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and are communicated timely to management.

      • Ensures audit results are gathered, determine the root cause of the problem and the associated impact and report accordingly. Review/edit reports and summarize issues. Present an overview of the audit results and findings to line management.

      • Ensures audit reports are written to a consistent high standard and are finalized within established department metrics.

      • Execute agreed upon procedures for specific projects or investigations of a low to moderate complexity and/or confidential nature. May assist other audit staff in more complex projects that Audit may be requested to perform. Plan, document and seek agreement in advance to the project approach and confirm conclusions upon completion in writing.

      • Manage self-development by confirming/communicating job expectations, identifying mentors/coaches and enquiring about training needs, ensuring timely completion of performance appraisals and manages assigned staff.

      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

      • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

      • Champions a high performance environment and contributes to an inclusive work environment.

      • -
      -

      Education/Work Experience

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      • Proficient in auditing IT processes general controls (ITGC), application, data, third party, technology controls and Project audits. Technology Risk Management experience in financial services industry is a significant advantage.

      • Proficient at applying risk-based auditing standards, practices, techniques, processes and methodologies to performance and review of audits.

      • Working knowledge of the operations and regulatory environments of each of the audit units globally, as required for specific areas of assigned responsibility.

      • Ability to participate in multiple projects at any given time.

      • Developed interpersonal and communication skills (verbal and written) to work with staff and management at various levels.

      • Good analytical skills and proficiency in the use of data analytic or visualization tools. Experience with Python, JavaScript, and Data Analytics and using automation and data analytics tools including SAS, ACL, advanced Excel, etc.

      • Ability to work in high levels of ambiguity and in a rapidly changing environment.

      • Bachelor's degree in Information Technology, Computer Science or related field.

      • One or more of the following certifications: CIA, CISA, CRISC, CDMP, CIMP

      • -
      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-IT-Audit-ON/585669817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-16T16:31:03.690Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346652964-audit-manager-it-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-IT-Audit-ON/585669817/,draft,2024-10-17T16:31:03.681Z,import-xml-feed:Scotiabank,,,,,,, -9fb0b62c-cff6-4644-93ad-bfc3bbd29940,346652966,Scotiabank,GTB - Global Commercial Card Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.864Z,"

      -

      -

      -

      -

      Requisition ID: 207266

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: January - April 2025

      -

      -

      Application Deadline: 10/18/2024

      -

      -

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      -

      -

      Global Transaction Banking (GTB) is a strategically important franchise that offers comprehensive transaction banking solutions on a global basis to Small Business, Commercial, Corporate and Multinational clients. GTB supports clients to manage their payments, collections, optimize cash conversion cycle and invest excess working capital.

      -

      As Analyst, Commercial Cards Portfolio Management on the Commercial Cards team you will play a critical role in leading and driving the Commercial Cards portfolio management initiatives. This includes monitoring the performance of client programs as well as the general portfolio P&L to identify opportunities around cost avoidance, cost savings, growth and improved client margins.

      -

      This position contributes to the profitability and revenue growth of the Global Transaction Banking portfolio through supporting the establishment of sound financial strategies of the Commercial Cards solutions and therefore maximize market share, enhanced growth opportunities and experience.

      -

      Is this role right for you? In this role, you will:

      -

      -

      Support growth in revenues and customer satisfaction on the Commercial Cards portfolio by:

      -
      • Enhance the competitive advantage of the product by generating insights from data that will help the product team when formulating the product strategy.
      • Collaborating with the Technology, Sales, and AML/Risk teams to understand the product vision, including the customer impacts, business/stakeholder value, system dependencies and technological processes, both internal and external
      • Monitor monthly product results to ensure products are performing as expected and resolving issues that arise in a timely manner with updates to partners and escalations to management as required
      • Maintain the end-to-end process map, helping ensure accountable stakeholders are operating to the agreed responsibilities
      • Determining where product gaps may exist with respect to customer needs, competitive offerings, and market trends
      • Understanding the voice of the customer and front-line staff to improve product quality
      • Participating in vendor partnership management to support product portfolio
      • Providing ad hoc support and subject matter expertise to partners as require​​​​​​​ ​​​​​​​​​​​​​​​​​​​​​
      • -
      -

      -

      Review financials, key performance indicators, and trends for:

      -
      • Determining key product opportunities and issues by maintaining critical financial lens
      • Working with the pricing and operations teams to drive revenues and implement margin enhancement opportunities
      • Maintaining a high quality market intelligence program, including the competitive landscape, customer needs, and external stakeholder management
      • Support special pricing requests and RFP opportunities
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You have excellent analytical, written, and verbal communication skills.
      • You are an enthusiastic self-starter with ability to prioritize and multi-task, working both independently and within a team environment.
      • You have great attention to detail, are proactive and responsive to short deadlines.
      • -Self-starter possessing confidence and initiative; able to cope with changing and evolving priorities while identifying new opportunities
      • Excellent communication, interpersonal, and strategic negotiating skills
      • Understanding of payments, industry trends and practices, innovative digital platforms, policies and procedures. Familiarity with the way large market Accounts Payable and Procurement departments operate.
      • Excellent Data Management skills, Outstanding Excel knowledge, proficiency in PowerBi an asset.
      • -
      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +5267c3e9-17c4-435b-9523-2d25108d9178,344240931,Loblaw Companies Ltd,"Senior Manager, Payment Decision Support",on_site,"Ontario, Canada",2024-09-30T08:19:02.299Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        +

        +

        +

        Location:

        500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        +

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        +

        +

        Why this role is important

        +

        +

        The Payments Decision Support team’s mandate is to deepen our understanding of customers, embedding analytics in everyday decisions by developing analytical talent across the organization and utilizes leading technology and techniques. The Senior Manager will play a key role in leading the teams efforts in enterprise-wide strategic initiatives and accelerating insights and deep analytics to identify revenue growth opportunities and reducing operational expenses.

        +

        +

        What you will do

        +
          +
        • Translate the team\'s vision into actionable strategies and plans, ensuring alignment with organizational goals and objectives.
        • +
        • Lead analytical efforts for enterprise-wide initiatives and execution of analytical projects, including revenue generation, operational expense optimization, deep analytics, and operational reporting. Track and analyze results and financial performance to support initiatives, ensuring continuous improvement.
        • +
        • Provide effective leadership, and talent development by managing and nurturing a team of data analysts, setting performance expectations, providing direction, guidance, and support to foster a culture of continuous learning.
        • +
        • Foster strong relationships with key stakeholders, peers, and leaders across the organization to ensure effective stakeholder engagement and relationship building.
        • +
        • Drive the integration of analytics into daily decision-making processes, fostering a culture of data-driven insights that extends throughout the organization.
        • +
        • Communicate the value of data insights to non-technical stakeholders, emphasizing their impact on business decisions, and translate their needs into actionable analytics projects.
        • +
        • Explore and implement new data sources through creating standardized data tables; ensure data governance frameworks are established and followed to foster resiliency within the team.
        • +
        • Keep up with advancements in analytical techniques and methodologies to strengthen analytical efforts across the organization.
        -

        -

        How do I apply?

        -
        • For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:
        • Complete your PLUM Profile here and save as a screenshot.
        • Complete a short one-way video interview here.
        • Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
        • +

          +

          What you bring

          +
            +
          • 5+ years of experience in data analytics; 3+ years of experience managing high preforming team
          • +
          • Proficient in data analytics tools and techniques (e.g. data mining, data cleaning, statistical analysis, and predictive modeling).
          • +
          • Ability to create compelling data visualizations and dashboards to communicate insights effectively to non-technical stakeholders.
          • +
          • Knowledge of database systems and SQL for data retrieval, manipulation, and management.
          • +
          • Proficiency in programming languages commonly used in data analysis (e.g. Python, R, SAS, SQL, etc.)
          • +
          • Mastery of Excel for data analysis, including pivot tables, advanced formulas, and data manipulation.
          • +
          • Strong grasp of financial data, product knowledge, profit drivers an asset.
          • +
          • Undergraduate degree in Mathematics, Economics, Computer Science, Engineering or equivalent.
          -

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

          -

          -

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-GTB-Global-Commercial-Card-InternshipCo-Op-Winter-2025-ON/584620017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652966-gtb-global-commercial-card-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GTB-Global-Commercial-Card-InternshipCo-Op-Winter-2025-ON/584620017/,draft,2024-10-17T16:31:03.864Z,import-xml-feed:Scotiabank,,,,,,, -43028973-b373-4cad-8753-82c77c3aa1e5,346634033,Google,"Senior Software Developer, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-17T08:34:01.912Z,"
      -
      -

      Senior Software Developer, Google Cloud Platforms

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      -corporate_fareGoogleplaceWaterloo, ON, Canada
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      -bar_chartMid -
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      Mid

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      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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      -Apply
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      • -linkCopy link -
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      -
      -

      Minimum qualifications:

        -
      • Bachelor’s degree or equivalent practical experience.
      • -
      • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
      • -
      • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
      • +
      • Strong leadership skills to inspire and guide data insights team, setting a clear vision and fostering a collaborative culture.
      • +
      • Effective communication skills, both written and verbal, to convey complex data insights to non-technical stakeholders.
      • +
      • Ability to build and maintain relationships with business leaders and executives, understanding their needs and aligning analytics efforts accordingly.
      • +
      • Proficient with managing projects to ensure they are delivered on time and within scope.
      • +
      • Strong analytical and critical thinking abilities to solve complex business problems using data-driven approaches.
      • +
      • Mentor, and develop analytical talent, promoting a culture of continuous learning.
      • +
      • Effective time management skills to balance multiple responsibilities and priorities.
      -

      Preferred qualifications:

      +

      +

      Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

      +

      +

      +

      Number of Openings:

      1

      +

      PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

      +

      +

      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

      +

      +

      +

      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

      +

      +

      +

      +

      +

      +

      +
      ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Senior-Manager--Strategy-and-Product_R2000475394?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-10-30T08:19:02.316Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344240931-senior-manager-payment-decision-support-at-loblaw-companies-ltd,,draft,2024-09-30T08:19:02.299Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +333d2d3f-3a9a-42d8-bed2-94854e374c1c,343660827,RBC,Data Centre Specialist,on_site,"Toronto, ON, Canada",2024-09-26T08:20:01.910Z,"
      +

      Job Summary

      +

      +

      +

      Job Description

      +

      +

      What is the opportunity?

      +

      +

      The successful candidate will be responsible for the efficient installation, operation and maintenance of computer systems for an enterprise mission critical data center, including efficient and strategic completion of preventative maintenance, work requests and responses to day-to-day operational activities on a 24hr X 7day rotation.

      +

      +

      Personnel will provide the support necessary to complete electronic hardware installations within Data Centre cabinets, including some cabling requirements, management module configuration and troubleshooting using a Remote Operations Model.

      +

      +

      The incumbent will assist in the execution of tasks in highly sensitive environments, as well as provide general supervision of vendors and the operation of building systems, including various computer and network hardware.

      +

      +

      The individual will be a primary contact for all client, security and operational engagements between the hours of their scheduled shift. This focal point will drive daily priorities and distribute work to additional team members when needed.

      +

      +

      What will you do?

        -
      • Master\'s degree or PhD in Computer Science or related technical field.
      • -
      • 1 year of experience in a technical leadership role.
      • -
      • Experience developing accessible technologies.
      • +
      • Assist with ongoing issues with day to day operations by responding to Incident engagements, audit requirements and process documentation.

      • +
      • Ensure all requests within the ticketing system are acted on accordingly and status updates are submitted for any new or existing hardware installations.

      • +
      • Perform hardware upgrades, firmware updates, troubleshoot remote connectivity, resolve build errors or hardware issues and perform diagnostics.

      • +
      • Handle deliveries of computer equipment and parts that arrive on site and administer the inventory as required.

      • +
      • Communicate with other technology platform clients to determine client demands and assist with various vendor equipment.

      • +
      • Participate in checking and monitoring of control room operations, building systems and assist with preventative maintenance duties.

      • +
      • Assist with documentation and policy creation. Coordinate and attend training sessions as required.

      • +
      • May be only IT staff member on duty during certain shifts; may be required to work extended periods of time without relief when responding to priority /emergency situations (including extreme weather and/or overtime type assignments)

      -
      -
      -

      About the job

      -

      Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

      -

      With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

      -
      Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
      -
      -

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      -
      -
      -

      Responsibilities

      +

      +

      What do you need to succeed?

      +

      +

      Must have:

        -
      • Write and test product or system development code.
      • -
      • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
      • -
      • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
      • -
      • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
      • -
      • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
      • +
      • High School Diploma or GED equivalent.

      • +
      • Experience with Computer Operating Systems, Software and Hardware.

      • +
      • Physical requirement to include stooping, standing, climbing and frequent lifting of a minimum of 50 lbs, of equipment (computer systems, tools, ladders) and ability to safely use lifting devices.

      • +
      • Able to work on a 24hr X 7 day rotation.

      -
      -
      -

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      -

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      -

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      -

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      -

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      -
      ",,https://www.google.com/about/careers/applications/jobs/results/83099603074720454-senior-software-developer-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-16T08:34:01.922Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634033-senior-software-developer-google-cloud-platforms-at-google,,draft,2024-10-17T08:34:01.912Z,import-xml-feed:Google-Job-Feed,,,,,,, -f14d9b69-19a5-4db1-a77a-cf8858c46256,345182862,BELL CANADA,2025 Graduate Program- Technology Project Management,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:02.558Z,"

       ​Req Id: 420034


      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

       

      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


      Join us. You belong at Bell. 

       

      Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

       

      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

       

      -
      -
      -

      -
      -
      -

      This application is specifically for the Graduate program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

      -

       

      -

      Why join us?
       

      +

      +

      Nice to have:

        -
      • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
      • -
      • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
      • -
      • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
      • -
      • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
      • -
      • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
      • +
      • Trade certificate and other technical training would be considered an asset.

      • +
      • Information Technology certifications including ITIL, Network+, A+, CCNA.

      • +
      • Experience with HVAC, chillers and electrical and mechanical components.

      • +
      • Possess and maintain a valid driver’s license and good driving record with periodic checks.

      -

       

      -

      What you’ll do

      -

      Customers are at the centre of Bell’s tech transformation. Embedded in the team, you will have the opportunity to lead customer-centric products that impact how people and businesses connect, work and learn. Grads will work together with teams across the spectrum to deliver exceptional experiences through cost-effective project management. 

      -

       

      -

      Some of your day-to-day responsibilities might include managing innovative products or driving product lifecycles, and more. You’ll bring fresh perspectives to the team and to our clients through competitive benchmarking, analysis and business planning. Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

      -
      -
      -
      -
      -

      -
      -
      -

      What we’re looking for

      -

      Within our Technology Product Management domain, we have several opportunities available. For more details on each of the roles below, click here.  
       
      •    Technical Network Architecture Specialist 
      •    Technology Project Manager
      •    Technical Product/Program Manager

      -

       

      -

      Requirements

      +

      +

      What’s in it for you?

      +

      +

      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

        -
      • You have a Bachelor's or Master's degree in a STEM or business-related field OR a college/CEGEP diploma or post-grad certificate in a STEM-related field completed before the program start date and no earlier than three years before your application date. 
      • -
      • You have less than three years of combined professional experience, excluding past internship experiences.
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable.

      • +
      • Leaders who support your development through coaching and managing opportunities.

      • +
      • Ability to make a difference and lasting impact.

      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team.

      • +
      • Opportunities to take on progressively greater accountabilities.

      • +
      • Participation with implementations of new and emerging technologies.

      -

       

      -

      Technical Skills (you have some of the following)

      +

      +

      #LI-POST

      +

      +

      +

      Job Skills

      Customer Service, Data Center Administration, Data Center Facility Management, Decision Making, Group Problem Solving, Hardware Infrastructure, Hardware Installations, System Integration Testing (SIT), Technical Troubleshooting, Time Management

      +

      +

      +

      Additional Job Details

      +

      Address:

      1 CRANE AVE:STRATFORD

      City:

      STRATFORD

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      TECHNOLOGY AND OPERATIONS

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2024-09-11

      Application Deadline:

      2024-10-01

      +

      +

      +

      +

      +
      +

      Inclusion and Equal Opportunity Employment

      +

      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
      ​​​​​​​
      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

      +
      +

      +

      +

      +

      Join our Talent Community

      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000099020/Data-Centre-Specialist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-03T08:25:04.897Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343660827-data-centre-specialist-at-rbc,,draft,2024-09-26T08:20:01.910Z,import-xml-feed:RBC-Job-Feed,,,,,,, +0e9ad791-b13b-4526-9e1f-e9e0b53e1676,344243745,Roche,IT Continuity Specialist,on_site,"Ontario, Canada",2024-09-30T08:58:02.474Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      +

      +

      +

      The Position

      +

      About Roche Informatics

      +

      In Roche Informatics, we build on Roche\'s 125-year history as one of the world\'s largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients\' needs motivates us to deliver technology that evolves the practice of medicine.

      +

      Be part of our inclusive team at Roche Informatics, where we\'re driven by a shared passion for technological novelties and optimal IT solutions.

      +

      +

      About the position

      +

      Do you have a strong background on managing IT Continuity & Risk Management effectively for critical systems and demonstrated experience on multiple projects who is looking for a creative, challenging and fun work environment and an opportunity to expand your skills? Then the Security, Testing and Validation Chapter is looking for you!

      +

      +

      As an IT Continuity Specialist, you will be accountable for providing guidance in the planning, development, execution, maintenance and testing of Enterprise Business Continuity, Disaster Recovery and Crisis/Incident Management activities, along with being responsible for risk assessments of systems, services as well as for third parties to evaluate cyber resiliency and compliance with internal and external requirements. Additional accountabilities include compliance management, supporting BC/DR audit and examination activities together with development & maintenance of policies, standards & procedures that are aligned with the best practices (for example: NIST, ISO, COBIT).

      +

      +

      This position will be supporting the Product Managers across Informatics.

      +

      +

      Your key responsibilities:

        -
      • You are familiar with project/program management principles, frameworks and tools (e.g. PMP) and can run effective meetings
      • -
      • You are experienced in lean/agile methods, processes and tools (e.g. JIRA, Kanban) and have knowledge of how to drive product lifecycles
      • -
      • You are tech savvy with a desire to keep up-to-date with the latest technology (including IT and cloud) and trends by monitoring competitors and market shifts
      • +
      • Manage the coordination, analysis and integration of Risk Management and IT Continuity activities, to ensure that the appropriate levels of resilience are in place.

      • +
      • Conducting risk assessments for systems and services to assess security and data privacy control requirements.

      • +
      • Maintains a comprehensive IT testing schedule, supports the testing of all continuity plans in line with business requirements.

      • +
      • Able to articulate and facilitate the understanding of a system’s intended use and its compliance risk profile.

      • +
      • Maintaining industry knowledge and skills in the areas of compliance, IT Business Continuity, audit, and risk management and applying them to improve internal processes and practices.

      • +
      • Ensures that all IT continuity management plans, risks and activities underpin and align with all business continuity plans, risks and activities.

      • +
      • Assists in creating regular reporting and status updates for IT and Business continuity.

      • +
      • Ensure the recovery capabilities are enforced and integrated into Disaster Recovery Plans, meeting business as well as regulatory requirements.

      • +
      • Foster a culture of Continuity & Risk/Resilience readiness within the IT community through awareness training and embedding it on the product design.

      -
      -
      -
      -
      -

      -
      -
      -

      Leadership Skills

      +

      +

      Your qualifications and experience:

        -
      • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
      • -
      • You gain the trust of your teams, being known for demonstrating fairness and respect.
      • -
      • You promote belonging and are flexible, accountable and collaborative.
      • -
      • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
      • -
      • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
      • -
      • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
      • -
      • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
      • -
      • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
      • -
      • You are committed to growing your skills and learning from others.
      • -
      • Your leadership qualities have been demonstrated through extracurricular activities and projects.
      • +
      • 3+ years of relevant experience: In IT system/service technical, and or Disaster Recovery/Business Continuity/Risk Management in a large global enterprise IT environment with knowledge on Business/IT Continuity processes, Risk Management and Operational Resilience initiatives.

      • +
      • Able to present to executive forums on risk profile and continuity preparation and testing.

      • +
      • Communication skills - ability to communicate complex information, issues, and potential solutions at an executive level.

      • +
      • Familiar with health authority regulations, software development lifecycle, information security, ITIL processes and infrastructure, cloud & data center technologies

      • +
      • Skills in relationship building, customer-focus, decision-making, and problem solving.

      • +
      • Demonstrated ability to quickly learn business priorities in unfamiliar or ambiguous areas.

      • +
      • The following certifications are a plus: BCI, DRI, CISA, CRISC, CISSP, Control frameworks and Standards such as COBIT, NIST and ISO 31000, ISO 22301 & ISO 27000 family.

      • +
      • Audit and Compliance management experience would be considered an asset.

      • +
      • Understanding of Agile methodologies/ scaled agile (SAFe) delivery is an asset.

      -
      -
      -
      -
      -

      -
      -
      -

      Applying is simple 

      -

      Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

      -

      1.    Review our programs and indicate up to three role choices in your application.
      2.    Complete your video interview within 48 hours. 
      3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
      4.    If selected from previous step, you will be invited to a virtual panel interview.

      -

       

      -

      Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

      -


      Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

      -
      -
      -
      -
      -

      -
      -
      -
      -

      #EmployeeReferralProgram #CampusProduct24

       

      Adequate knowledge of French is required for positions in Quebec.

       

      Additional Information:
      Position Type: Management 
      Job Status: Grad Hire 
      Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Bedford || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
      Work Arrangement: Hybrid
      Application Deadline: 11/03/2024

       

      For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

       

      Please apply directly online to be considered for this role.  Applications through email will not be accepted.

       

      We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

       

      We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

       

      We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
       

      Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

       

      Created: Canada, ON, Toronto

       

      Bell, one of Canada's Top 100 Employers.

      ",,https://jobs.bell.ca/ca/en/job/BECACA420034EXTERNALENCA/2025-Graduate-Program-Technology-Project-Management?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-04T21:25:02.572Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345182862-2025-graduate-program-technology-project-management-at-bell-canada,BECACA420034EXTERNALENCA,draft,2024-10-05T21:25:02.558Z,import-xml-feed:Bell-Canada,,,,,,, -087baa1b-2eaa-45dc-9552-a35fa11e489a,346298836,Magna International,Human Resources Supervisor- Nights,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-14T16:41:02.117Z,"
      -
      -

      About the Role

      -

      Lead in the establishment and administration of Human Resources personnel policies and practices that reflect the spirit of the Magna Employee’s Charter and support our internal and external customers’ requirements in a prompt, courteous and timely manner.

      -
      -
      -

      Your Responsibilities

      -
      1. -Lead and facilitate functional training & development initiatives. Oversee and coordinate the daily performance of the worksite to ensure a high level of compliance in accordance with Co-Ex-Tec's policies and procedures. -
      2. -Act as the primary point of contact for all legal, health and safety, personal and production related issues. Act as the primary trainer for the off shift, facilitate all needed training as required. -
      3. -Lead day-to-day activities and resolve personnel issues to ensure production goals are met. Conduct workplace investigations -
      4. Bridge communication between shifts
      5. -Disability & Labour management including return to work coordination. Provide support and partner with Management on issues related to Employee Relations, Performance Management and Employee Development -
      6. Assist in administering work shortage cycles ensuring that the Company meets its customers' needs and employees are treated fairly and consistently as per Magna guidelines, legislative requirements etc.
      7. -
      -
      -
      -

      Who we are looking for

      -
      • Post-Secondary Degree/Diploma in business or related field and/or Human Resources certification, preferred.
      • Minimum 3 years’ experience in the Human Resources field within a manufacturing environment
      • -Well-developed communication, organizational, interpersonal, and analytical abilities. Data driven and action oriented. -
      • Basic Microsoft Office skills
      • -Ability to work primarily on night / afternoon shifts. Flexibility in terms of working hours -
      • Ability to work with little to no supervision.
      • -
      -
      -
      -

      Your preferred qualifications

      -
      -

      Accommodations for disabilities in relation to the job selection process are available upon request.

      -

      Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

      -
      -
      -
      -

      What we offer

      -

      At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

      -
      -
      -

      Site Benefits

      -
      • Medical and Dental Benefits after 1 month of employment
      • Profit Sharing (EEPPP) and Company Match Group RRSP Program
      • Company Paid Basic Life Insurance and Accidental Death and Dismemberment (AD&D)
      • Corporate Plans for Roger's Cellphone Data Plans
      • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc...
      • Educational Assistance Program
      • -
      -
      -
      -

      Awareness. Unity. Empowerment.

      -

      At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

      -
      -
      ",,https://jobs.magna.com/job/Concord-Human-Resources-Supervisor-Nights-ONTA-L4K-2R2/583615717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-13T16:41:02.117Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346298836-human-resources-supervisor-nights-at-magna-international,https://jobs.magna.com/job/Concord-Human-Resources-Supervisor-Nights-ONTA-L4K-2R2/583615717/,draft,2024-10-14T16:41:02.117Z,import-xml-feed:Scrapy-Scraper,,,,,,, -7205260e-1e2a-457e-8c20-e8ae8f078e02,346298815,KPMG,Senior Analyst,on_site,"Toronto, Canada",2024-10-14T16:35:03.229Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      We are looking for a dynamic, experienced Cyber Security professional to join our growing Cyber Security Services team as Senior Analyst. KPMG’s leading cyber security practice provides a comprehensive suite of cyber security services, from cyber governance, strategy, defense and response, through to complete end-to-end cyber security transformation services.

      This is an exciting opportunity for talented, energetic people to join a practice that is experiencing significant growth. We are looking for candidates who have demonstrated academic, business and technical excellence, strong all-around capabilities, and fit with our culture. Individuals who can work in a dynamic, fluid and entrepreneurial environment will excel, and will find a wide range of opportunities within our growing practice. It is an excellent opportunity for those that are looking to work in a firm and department with great career progression opportunities and wanting to be part of building a premier cyber consulting team.


      What you will do

        -
      • Serve as the primary point of contact during high-severity incidents, ensuring swift containment and resolution in collaboration with the CSIRT team, if necessary.
      • -
      • Assess escalated issues from L2 SOC analysts to determine increased risk to the business.
      • -
      • Review log data against security technology rules, proposing enhancements to threat detection.
      • -
      • Collaborate with SIEM Engineers to fine-tune security events and improve alert detection rates.
      • -
      • Develop and maintain incident response playbooks, identifying areas for improvement and suggesting task automation.
      • -
      • Work closely with CTI teams to enhance our threat detection, suggesting threat use cases development based on Tactics, Techniques, Procedures (TTPs).
      • -
      • Analyze critical events and security tickets to evaluate the effectiveness of incident management processes and suggest improvement plans.
      • -
      • Stay updated on security threats, countermeasures, security tools, and advancements in Cloud Security and SaaS technologies.
      • -
      • Track incidents against frameworks such as SANS and MITRE ATT&CK.
      • -
      • Provide technical and thought leadership within the SOC, guiding and teaching other analysts.
      • -

      What you bring to the role

        -
      • Over 7 years of highly technical experience in a SOC environment.
      • -
      • Relevant certifications such as CISSP, CISM, SANS, CISA, CompTIA Security+, or CompTIA CySA+, GIAC.
      • -
      • Hands-on experience with Microsoft Sentinel or other SIEM and SOAR technologies.
      • -
      • Proficient in Microsoft Defender Endpoint, CSPM/CWP, or similar technologies, with a focus on vulnerability assessment and recommendation.
      • -
      • Experience in malware analysis and reverse engineering.
      • -
      • Business development expertise, including research, analysis, and proposal writing.
      • -
      • Evaluation of control frameworks, risk assessment, and opportunities for enhancement.
      • -
      • Enterprise asset lifecycle management knowledge, including patch management, vulnerability management, security architecture, and endpoint management.
      • -
      • Expertise in cloud transformation, architecture, and security operations.
      • -
      • Leadership experience in managing complex projects.
      • -
      • Strong communication skills, effectively presenting strategies, solutions, and insights to stakeholders.
      • -
      • Leadership role experience, providing mentorship and knowledge sharing to the team and junior/intermediate analysts.
      • -

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/23151?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-17T16:40:02.886Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346298815-senior-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23151?lang=en-us,draft,2024-10-14T16:35:03.229Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -5ef72d71-78cb-4ad0-83e1-8e6d67e2b6ae,346777669,Canadian Tire Corporation,Data Steward,on_site,"Ontario, Canada",2024-10-18T08:40:01.714Z,"
      -

      What you\'ll do

      -

      As a Data Steward within the Merchandising Business Support Team, you will play a crucial role in ensuring the accuracy, integrity, and security of our data assets. Your primary responsibility will be to manage and govern the FGL Merchandising owned data resources, ensuring compliance with data management policies and procedures. You will contribute to data sourcing, transformation and developing automated reporting, enabling data driven decisions across the organisation.

      -


      Data Governance: Develop and implement data governance strategies, policies, and procedures to ensure the effective management of data throughout its lifecycle. This includes defining data standards, data quality rules, and data classification guidelines.

      -

      Data Quality Management: Monitor and assess the quality of data across various systems and databases. Identify and resolve data quality issues by collaborating with relevant stakeholders and implementing corrective actions. Implement data profiling techniques to identify patterns, anomalies, and inconsistencies.

      -

      Data Security: Revise and enforce data access controls, privacy measures, and data protection protocols, for domains within the scope of the department.

      -

      Metadata Management: Define and maintain metadata standards for various data elements, including data dictionaries, glossaries, and business glossaries. Establish processes for capturing, documenting, and organizing metadata to enhance data understanding and facilitate efficient data usage.

      -

      Master Data Management: Oversee the creation, maintenance, and governance of master data assets. Collaborate with key stakeholders to define master data requirements, ensure consistency across systems, and enable accurate reporting and analytics.

      -

      Data Documentation: Create comprehensive documentation of data sources, structures, mappings, transformations, and business rules. Ensure documentation is up-to-date and readily accessible to users within the organization.

      -

      Data Transformation: Design and develop end-to-end data analytics solutions. Query data from standard and curated tables using SQL, use ETL pipelines in Azure for transformation, and Power BI for dashboards and end user reporting.

      -

      Data Collaboration & Querying: Facilitate collaboration between different business units to promote cross-functional data sharing and integration. Identify opportunities for leveraging shared datasets to improve decision-making processes.

      -

      Training and Education: Develop training materials and conduct training sessions to increase awareness among employees about proper data handling practices, including data entry standards, quality control measures, and adherence to data governance policies.

      -

      What you bring

      +

      What you get:

        -
      • Educational Achievements (Diploma, bachelor’s degree, or higher) in Computer Science, Information Systems, or related field.

      • -
      • Proven experience in data management or related roles.

      • -
      • Strong knowledge of data governance frameworks, principles, and best practices.

      • -
      • Highly skilled in SQL (preferred).

      • -
      • Familiarity with building BI dashboards in tools like Power BI.

      • -
      • Familiarity with data quality assessment techniques and tools.

      • -
      • Understanding of regulatory requirements related to data security and privacy.

      • -
      • Proficiency in using metadata management tools.

      • -
      • Cloud computing experience, such as Azure, would be considered a strong asset.

      • -
      • Experience with ETL tools like Knime or Alteryx is considered an asset.

      • -
      • Excellent analytical skills with an eye for detail.

      • -
      • A curious individual.

      • -
      • Strong communication skills to collaborate effectively with cross-functional teams.

      • -
      • Ability to prioritize tasks effectively and work independently.

      • +
      • Great working environment with attractive compensation and rewards package (according to local regulations);

      • +
      • Annual bonus payment based on performance;

      • +
      • Access to various internal and external training platforms (e.g. Linkedin Learning);

      • +
      • Experienced and professional colleagues and workplace that supports innovation;

      • +
      • Multiple Savings Plans with Employer Match

      • +
      • Company’s emphasis on employees’ wellness and work-life balance ( (e.g. generous vacation days and OneRoche Wellness Days ),

      • +
      • Flexible workplace policy;

      • +
      • State of art working environment and facilities;

      • +
      • And many more that the Talent Acquisition Partner will be happy to talk about!

      -

      Join the Business Support Team as a Data Steward if you are passionate about maintaining high-quality data assets, driving data governance initiatives, and ensuring the availability of accurate information for informed decision making throughout the organization.

      -

      Hybrid

      -

      We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

      +

      This position is not eligible for relocation support.

      +

      #ITcareers
      #LI-PK1

      -

      About Us

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202312-128418/IT-Continuity-Specialist,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243745-it-continuity-specialist-at-roche,,draft,2024-09-30T08:58:02.474Z,import-xml-feed:Selenium-Scraper,,,,,,, +833cfbe7-2d13-433c-bd18-376ec0dcaa10,344243749,OMERS,"Manager, Technology Strategy & Innovation (Capital Markets)",on_site,"Ontario, Canada",2024-09-30T08:58:02.748Z,"
      +

      Choose a workplace that empowers your impact.

      +

      Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

      -

      At Sport Chek, we want to find what moves you, and help build your career from there. As Canada’s destination for footwear, apparel, and sporting goods; we believe that sport and activity has the power to help shape your style, your relationships, and your mind. Along with colleagues across the Canadian Tire family of companies, you’ll be a part of a collaborative network of like-minded individuals who draw on their collective experience to best serve customers across all banners from coast-to-coast. Join us, where there\'s a place for you here.

      +

      We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

      -

      Our Commitment to Diversity, Inclusion and Belonging

      +

      Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

      -

      We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

      +

      Don’t just work anywhere — come build tomorrow together with us.

      -

      Accommodations

      +

      Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

      +

      +

      -

      We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

      +

      Reporting to the VP of Customer Success and Innovation, as the Manager of Technology Strategy and Innovation, your primary accountability is to support the relationship between D&T and Capital Markets. You will be responsible for fostering strong relationships, supporting the technology business partner function, and aligning technology with business objectives.

      -
      ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Data-Steward_JR136978?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-21T08:45:02.651Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/346777669-data-steward-at-canadian-tire-corporation,,draft,2024-10-18T08:40:01.714Z,import-xml-feed:Canadian-Tire,,,,,,, -018df2a4-bc0f-4258-9452-bdf894ebf474,346777767,Borealis AI,Senior Manager - Advisory,on_site,"Ontario, Canada",2024-10-18T08:43:02.529Z,"
      -

      What\'s the opportunity?

      -

      We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for RBC’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems.

      At RBC Borealis, you’ll be joining a fast paced, dedicated and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products.

      -

      Your responsibilities will include:

      +

      You will play a key role in driving the strategic alignment between technology and business objectives. This role will support the development of the technology strategy, the transformational change journey, and will play a key role in fostering a culture of innovation at the forefront of technological advancement for the customers.

      +

      +

      A Customer Success Manager plays a pivotal role in ensuring that customers achieve their desired outcomes while using Data and Technology products and services. Their main responsibilities include providing continuous support to customers to maximize their satisfaction and success by proactively engaging with them to understand their needs and challenges. This involves monitoring customer health metrics, addressing any issues promptly, and acting as a liaison between the customer and technology teams. Additionally, the role entails developing/supporting a customer technology strategy with businesses, assessing the impact of emerging technology, ensuring cost transparency, delivering value, and ultimately fostering a harmonious relationship between all of D&T and their customers.

      +

      +

      This role aims to understand the business strategy of our customers to effectively influence decision-makers and drive innovation to enhance business performance.

      +

      +

      Key Responsibilities

      +

      Customer Success

        -
      • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
      • -
      • Building and supporting relationships with RBC executives, subject matter experts, and technical teams through discussions, materials preparation and other interventions;
      • -
      • Representing the business vision in the group’s product engagements and educating researchers on business needs;
      • -
      • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis AI;
      • -
      • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
      • +
      • Collaborate with customers to understand their needs and challenges, suggest technological solutions to enhance their business, and support the Customer Success team in identifying areas for improved customer engagement.

      • +
      • Collaborate with business and technology teams to provide tailored and future-focused technology strategy and solutions that meet their needs.

      • +
      • Develop and maintain strong relationships with business teams and stakeholders.

      • +
      • Champion the adoption of core technology programs and initiatives to deliver on the D&T team’s collaborative priorities

      • +
      • Demonstrate curiosity in business processes to challenge the established thinking and help generate new ideas and approaches to problem solving.

      • +
      • Anticipate the technology implications of business strategies and advise and influence the leadership team accordingly.

      • +
      • Become an expert in the Data & Technology products and services to be able to make connections between customer needs and available offerings.

      • +
      • Leverage your comprehensive understanding of the enterprise to proactively identify trends and propose innovative ideas that can address technology issues

      • +
      • Apply independent, sound judgment and navigate complex issues with a view to customer success.

      -

      You’re our ideal candidate if you:

      +

      +

      Leadership and Influence

        -
      • Have 5+ years of experience working at a financial or technology focused organization;
      • -
      • Were responsible for the delivery of at least one technology solution that drove material business impact;
      • -
      • Have a working knowledge of data analytics and machine learning;
      • -
      • Have experience developing relationships with senior and junior stakeholders at large enterprises;
      • -
      • Have experience developing business cases and other communications on technology projects;
      • -
      • A creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
      • -
      • Excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
      • +
      • Manage a team of Customer Success Analysts or Leads to ensure that they are delivering value to the business.

      • +
      • Build and lead a high-performing team, ensuring that they are aligned with organizational goals and possess the skills needed to drive success.

      • +
      • Possess strong leadership skills and ability to manage a team effectively.

      • +
      • The ability to resolve nebulous business challenges by clearly defining the problem, applying structure & logic, and developing a defined approach.

      -

      What’s in it for you:

      +

      +

      Collaboration

        -
      • Be part of a dynamic & flexible working environment;
      • -
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • -
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • -
      • Leaders who support your development through coaching and managing opportunities;
      • -
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • +
      • Build and nurture strong relationships with the Data and Technology teams.

      • +
      • Prioritize strong and effective cross-collaboration across Data and Technology.

      • +
      • Collaborate with the Technology Product and Services team to drive our business goals forward.

      • +
      • Leverage the D&T’s technical expertise to ensure our technology programs are not only innovative but also strategically aligned with the evolving needs of the business.

      • +
      • Share learnings with D&T to drive continuous improvement and operational effectiveness.

      -

      About RBC Borealis

      -

      RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

      -

      Inclusion and Equal Opportunity Employment

      -

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      -
      ",,https://www.borealisai.com/careers/?gh_jid=7640640002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-17T08:43:02.548Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346777767-senior-manager-advisory-at-borealis-ai,,draft,2024-10-18T08:43:02.529Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +

      +

      Innovation

      +
        +
      • Support the development and execution of innovation initiatives in partnership with the broader team with a focus on customer needs.

      • +
      • Stay current on innovative and emerging technology advancements.

      • +
      • Proactively engage with business leaders to identify innovative opportunities for technology to drive business growth and assist with the development of business-specific technology strategy maps that drive strategic direction.

      • +
      • Develop and maintain a technology roadmap that supports business objectives.

      • +
      +

      +

      Qualifications:

      +
        +
      • Bachelor\'s degree in a relevant field; advanced degree (MBA, MSc) preferred.

      • +
      • 5-7 years of experience in technology driven roles.

      • +
      • Familiarity with Investment and Capital Markets is strongly preferred. This includes knowledge of financial markets, investment products and the investment analytics space.

      • +
      • Proven experience in a management role within technology business partnering or a related function with a strong focus on the customer experience.

      • +
      • Proven ability to translate business needs into effective technology.

      • +
      • Familiarity with enterprise architecture and IT governance frameworks.

      • +
      • Experience working with and successfully influencing management.

      • +
      • Strong business acumen and ability to understand business strategy and objectives.

      • +
      • Understanding of business operations, market dynamics, and technology emerging trends

      • +
      • Exceptional strategic thinking and problem-solving skills.

      • +
      • Leadership skills and ability to manage a team effectively.

      • +
      • Track record of successfully leading technology teams and driving innovation.

      • +
      • Excellent communication skills - should be able to explain the technical aspects in the non-technical language to the business and relevant stakeholders.

      • +
      • Strong leadership, coaching, conflict resolution, and relationship management skills.

      • +
      • Proven ability to earn trust through data-based insights, delivering results, influencing, and relating to others.

      • +
      • Excellent resiliency and ability to navigate complex scenarios.

      • +
      +

      +

      We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

      +

      +

      +

      As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

      +

      +

      From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Manager--Technology-Strategy---Innovation--Capital-Markets-_JR-6315?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344243749-manager-technology-strategy-innovation-capital-markets-at-omers,,draft,2024-09-30T08:58:02.748Z,import-xml-feed:Selenium-Scraper,,,,,,, +437533f5-24fd-4109-8ac5-0b2938dc26a5,344243751,CN,Expert OT Security Architecture,on_site,"Ontario, Canada",2024-09-30T08:58:03.777Z,"
      +

      +

      +

      At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

      +

      Job Summary

      +

      The purpose of this role is to evaluate Operational Technology (OT) solutions, configurations, and designs against security requirements, and define cybersecurity reference architectures and standards for all OT environments at CN.

      +

      Main Responsibilities

      +

      OT Security Architecture Practice

      +

      · Put in place the proper sets of OT security architecture controls to ensure authenticity, non-repudiation, and least privilege commensurate with risk requirements.

      +

      · Ensure the OT security architecture is maintainable, sustainable and properly documented.

      +

      · Maintain and build relevant, current, valid and reliable team knowledge related to OT and Security Architecture to leverage existing cybersecurity infrastructure and process, where appropriate, while supporting Transportation, Mechanical and Network Ops functions in enacting risk-based security controls as part of a broader OT environment.

      +

      · Facilitate key decisions involving OT architecture and technologies.

      +

      · Advance security team accomplishments and competence by planning delivery of solutions; answering technical and procedural questions for less experienced team members; teaching improved processes; mentoring team members.

      +

      · Ensure the full documentation of security designs, as built architectures and operational processes through clear diagrams and well-written documents.

      +

      +

      OT Security Roadmap and Strategy

      +

      · Collaborate with the CISO, Sr Mgr OT Security Architecture, cybersecurity team, portfolio managers, other architects, and I&T leadership to understand the business direction and consequent impact on the security posture.

      +

      · Define the proper course of action and investment strategy by building business cases and security roadmaps.

      +

      · Engage the OT vendor ecosystem to understand capabilities and limitations to drive improvements in the security posture of current products, and assist in the selection of the right partners.

      +

      · Continuously monitor and evaluate the environment through self-assessments and independent security reviews. Enable management to identify deficiencies and inefficiencies and to initiate improvement actions though security roadmap and strategies.

      +

      Requirements

      +

      Education/Certification/Designation

      +

      · Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, System Analysis or other relevant field

      +

      · At least one recognized security certification: e.g. Certified Information Systems Security Professional (CISSP), Global Industrial Cyber Security Professional (GICSP), ISA/IEC 62443 Cybersecurity Expert, etc.

      +

      · Architecture related certifications (TOGAF, Zachman, CISSP-ISSAP, etc.) preferred

      +


      Skills/Knowledge

      +

      · Ability to define and organise an architecture security apparatus in reusable building blocks: patterns, services, components, capability models, etc;

      +

      · Demonstrated capability to understand the security implications of complex business operations and how they are linked to technological solutions that provide practical risk mitigation and business enablement;

      +

      · Strong knowledge of the processes, methodologies, tools and techniques, used for building large information technology systems;

      +

      · Proven experience in applying a structured approach to problem resolution in large, geographically dispersed organizations with 24/7 operations;

      +

      · Strong knowledge of the technologies and architecture principles required to build complex operational technology systems such as: Programmable Logic Controllers (PLCs); Supervisory Control and Data Acquisition (SCADA); Distributed Control Systems (DCS); Human Machine Interface (HMI); Industrial network ports and protocols (such as TCP/IP, UDP, DNP3, Modbus, IEC 61850, PROFINET, OPC, LonWorks, DALI, BACnet, KNX, EnOcean, etc.); etc;

      +

      · Deep understanding of ICS design considerations with emphasis on human safety and the availability/security of operating environment as well as threats, vulnerabilities, and exploits in ICS environments and appropriate mitigation techniques.

      +

      · Ability to derive security requirements from vaguely formulated business needs;

      +

      · Ability to interact with a broad cross-section of personnel to explain and enforce security measures

      +

      · Excellent written and verbal communication skills;

      +

      · Detail-oriented self-starter with a high level of commitment and personal motivation;

      +

      · Knack for prioritizing tasks and working in a fast-paced environment;

      +

      · Knowledge of standards, regulations and legislation governing Information Security, e.g. NIST, ISO 27001, OWASP, ISA 62443;

      +

      +

      Experience

      +

      · Minimum 12 years overall IT work experience

      +

      · Minimum 8 years OT experience

      +

      · Minimum 5 years experience in OT security architecture experience

      +

      Assets (if applicable)

      +

      · Software development experience

      +

      · Experience with Agile and DevOps methodologies

      +

      · Knowledge of general IT security architecture and technologies including: service-oriented-architectures, mobile technologies including Mobile Device Management (MDM), data-centric design, advanced analytics, AI, Identity and Access Management (IAM) lifecycles, Digital Forensics, End Point Encryption, Encryption Key Management, Database Security, Enterprise Directory Services, IDS, IPS, Next Generation Firewall, Application Firewall, Enterprise Password Vaults , Cloud SaaS /PaaS/IaaS Security, SIEM, etc.

      +

      · Deep knowledge of security foundations: cryptography, Root of Trust, security models, etc.

      +

      · Experience with NGFW, VPN, IPS/BDS, vulnerability management, access management, SIEM, and endpoint security in OT environments

      +

      · Railroad, transportation, or Global industrial experience is a significant plus

      +

      Working Conditions

      +

      Occasional business travel (Canada and US) in accordance with CN policy.

      +

      This position is posted as a grade LEVEL 7. For internal candidates, note that the grade level of the position may adjust based on the employee\'s experience.

      +

      About CN

      +

      CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

      +

      +

      +

      CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

      +

      CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

      +
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/14529?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-10-30T08:58:03.778Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243751-expert-ot-security-architecture-at-cn,,draft,2024-09-30T08:58:03.777Z,import-xml-feed:Selenium-Scraper,,,,,,, +e09bc9c1-9019-4b90-af9e-4dca5c8ba845,344287960,Scotiabank,"Activate: Strategic Functions New Graduate Development Program, Audit - Spring 2025",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:04.734Z,"

      +

      +

      +

      +

      Requisition ID: 207981

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Start Date: June 2025

      +

      Location: Toronto

      +

      Application Deadline: 10/11/2024

      +

      +

      Who Are We?

      +

      The Activate New Graduate Development Program is designed to kick-start your career at Scotiabank in your specific stream of Strategic Functions – when you apply, please be sure to apply to the Activate stream in which you want to specialize. Our Strategic Functions groups are the backbone of the Bank, with focus areas including Marketing, Human Resources, Compliance, Global Treasury, Risk Management, Audit, Finance, and our CPA Pre-Approved program. Each rotation in the Activate program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. You’ll also have access to skill-building workshops and challenging work-integrated learning opportunities that will rapidly accelerate your development!

      +

      +

      Your Career as an Activate Program Associate:

      +

      You’ll join our Activate Development program as a full-time permanent employee and will spend 18-30 months rotating to pre-determined areas that will challenge you and provide you with opportunities to learn and grow into a Strategic Functions professional. Our goal at the end of the program is to land you into a permanent role in your area of focus – after 4-6 rotations, you’ll be set up to hit the ground running! These rotations are key to your development and aim to ensure you receive a wide breadth of experience in a short period of time. It also provides you with the opportunity to discover your passions and learn more about your areas of interest; you’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.

      +

      Each stream of the Activate Program has a dedicated recruiting process; this posting is for Global Audit. If you’re interested in one of the other streams of the Activate program, please search for the appropriate posting on our Scotiabank Careers page.

      +

      +

      What is Global Audit?

      +

      Audit professionals are collaborative communicators and independent thinkers who are curious to learn, and keen to leverage data analytics and innovative ideas to drive insights for recommendations to management. In Global Audit, we are looking for individuals who enjoy problem solving and can see the “big picture” in a complex environment. Candidates will learn how to evaluate the effectiveness of Governance, Risk Management and Internal Controls in the Bank’s business lines and core functions. As an Audit professional, you can make an impact by shaping the future of the Bank. This is not a CPA Pre-Approved role - you don't need to be a CPA to become an auditor. If you are bilingual Spanish speaker, that’s a plus! Apply to our Activate Audit stream where you can build on the skills above, while developing your passion for business analysis, risk management, and personal development.

      +

      +

      Qualifications/ Requirements:

      +

      This program is for students who have just graduated from a college diploma, undergraduate degree, or graduate degree who are looking to secure that job now to begin upon graduation. Individuals who are well-suited for this program are particularly interested in a specific stream of Strategic Functions and bring a strong curiosity and solutions-focused mindset to their work. They manage internal and external relationships exceptionally well and are focused on doing the right thing. They challenge themselves and the team members around them to find the best solutions possible. They bring a solutions-focused Attitude, they recognize Opportunities to not only learn but to contribute to team outcomes, and they show Ownership over their work and deliverables.

      +

      +

      How do I apply?

      +

      For students applying to one of our TILT New Grad programs we do not require resumes! Instead we ask that as part of your application, you complete the below:

      +
      1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your past plum results.
      2. Complete a short one-way video interview here. +
      3. +
      +

      *To be considered, you must complete all steps.

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Audit-Spring-2025-ON/584975917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287960-activate-strategic-functions-new-graduate-development-program-audit-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Activate-Strategic-Functions-New-Graduate-Development-Program%2C-Audit-Spring-2025-ON/584975917/,draft,2024-09-30T16:30:04.734Z,import-xml-feed:Scotiabank,,,,,,, +cae3caf3-58c2-49d8-8317-2ac0b32e7c0e,344287961,Scotiabank,Scotiabank Global Wealth Management Sponsorship Program - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville,2024-09-30T16:30:04.882Z,"

      +

      +

      +

      +

      Requisition ID: 208111

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: Jan - April 2025

      +

      Application Deadline: 10/25/2024

      +

      +

      There's no better way to develop your career than to do a co-op or internship with Scotiabank Wealth Management! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      +

      +

      Profiles:

      +

      +

      Positions are available in the following job categories:

      +
      • Finance
      • Operations
      • Data Analytics
      • Sales & Client Relations
      • Strategy & Projects
      • Admin & Support
      • +
      +

      +

      +

      We’d love to work with you if:

      +

      +
      • You are currently enrolled in post-secondary education at George Brown College.
      • You self-identify as being from an equity deserving group such as being Black, Indigenous, and/or living with a disability.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
      • You have experience in finance, accounting, or economics
      • You are highly motivated, independent, innovative, and results-oriented
      • You have excellent written and verbal communication skills
      • You are proficient in MS Word, MS Excel and MS Access
      • You work well under pressure
      • You can lead high volume, time sensitive projects
      • +
      +

      +

      +

      What’s in it for you?

      +

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +
      +

      +

      +

      How do I apply?

      +

      +

      Please complete all three steps below:

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete a short one-way video interview here.
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. +
      +

      +

      We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

      +

      +

      +

      Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287961-scotiabank-global-wealth-management-sponsorship-program-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,draft,2024-09-30T16:30:04.882Z,import-xml-feed:Scotiabank,,,,,,, f97764a5-261d-4e00-b5fe-eb98606a49b0,345361485,Ada,Senior Technical Writer,on_site,"Ontario, Canada",2024-10-07T08:58:03.121Z,"
      @@ -14297,204 +15364,6 @@ e86e3242-c7eb-46cc-87ff-dfed7b5a1cbe,343668673,CIBC,"Sr. Analyst, Advanced Analy

      Employment Type

      Temporary (Fixed Term)

      Weekly Hours

      37.5

      Skills

      Business Effectiveness, Communication, Data Mining, Data Reporting, Decision Making, Metrics Analysis, Prioritization, Reporting and Analysis, Statistical Analysis
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Advanced-Analytics_2420978-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-03T10:09:03.020Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343668673-sr-analyst-advanced-analytics-at-cibc,,draft,2024-09-26T10:04:02.136Z,import-xml-feed:CIBC-Job-Feed,,,,,,, -a418f89c-6825-4379-946a-acc424558796,345788098,KPMG,"Senior Consultant, Human Resources, Mergers & Acquisitions",on_site,"Toronto, Canada",2024-10-10T16:35:02.049Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      KPMG's Strategy and deal execution (M&A) team helps companies deliver value from mergers and acquisitions throughout the deal lifecycle. We specialize in advisory for pre-deal due diligence and carve-outs, as well as post-merger integrations. We work with management to assess the impacts of transactions, perform assessment to identify value, and develop detailed implementation plans to help ensure the strategic rationale of the acquisition or divestment is delivered. Our clients, include publicly, privately, and private equity held companies across a variety of industries.

      Human Resource Mergers & Acquisitions (HR M&A) sits within the broader Strategy and deal execution (M&A) team in Deal Advisory. The Strategy and deal execution (M&A) team focuses on all aspects of the Deal lifecycle advising on the operational enablement of large, global M&A programs.

      In HR M&A we support clients in managing the overall employee experience and advise on all aspects relating to people, culture and change management across the deals process from HR due diligence through to deal execution.

      Our clients are typically private equity funds, pension funds, large public companies, and private corporations.

      Learn more about KPMG’s Strategy and deal execution practice here.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Strategy and deal execution (M&A) team in Toronto is looking for a professional like you with the skills and drive to make a real difference.

      As a Senior Consultant, Human Resources, Mergers & Acquisitions, you will advise on all aspects relating to HR and change management on the deals process, from HR due diligence through to deal execution.


      What you will do

        -
      • -Support engagements and HR workstreams, to effectively manage client relationships and provide support on a variety of M&A projects from small transactions to large programs from a people, HR and communications perspective -
      • -
      • -Support due diligence activities, maintaining information request lists, reviewing documents in the data room and assisting in the preparation of final deliverables including analysis of key documents and build of databook
        -
      • -
      • -Support clients to prepare for Day 1 activities following a separation or integration, to drive a positive employee experience -
      • -
      • -Contribute to developing client deliverables and proposals -
      • -
      • Work in collaboration with all team members across S&DE as one KPMG team
      • -

      What you bring to the role

        -
      • -The ability to work at pace and meet tight deadlines -
      • -
      • -Strong PowerPoint and Excel skills to produce high quality outputs and deliverables -
      • -
      • -Data analysis and problem-solving skills -
      • -
      • -Project management experience -
      • -
      • -Consulting and experience working in an M&A environment -
      • -



      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/23648?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788098-senior-consultant-human-resources-mergers-acquisitions-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23648?lang=en-us,draft,2024-10-10T16:35:02.049Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -cc2b2a4a-1a6b-4f57-93d5-3f3c18482097,345788014,Scotiabank,"Audit Manager, Retail Credit Risk Audit",on_site,Canada : Ontario : Toronto,2024-10-10T16:31:03.563Z,"

      -

      -

      -

      -

      Requisition ID: 208346

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -
      -

      Purpose

      The Bank's Internal Audit Department plays a key role as the third line of defense. The Retail Credit Risk Audit Group has responsibility for providing independent assurance over the effectiveness of controls for retail and small business risk management.

      The objective of this position is to support and manage audits to assess the design and operational effectiveness of internal controls and regulatory compliance relating to credit risk management activities in Canada and International locations.

      The incumbent will be required to work as part of a team that audit major business lines in assessing controls relating to credit lifecycle (i.e. origination, adjudication, account management and collections). In particular, the strong SME component of the role requires the incumbent to have strong demonstrable skills in data analytics and knowledge of credit risk modelling/ strategies and risk management frameworks. The incumbent will ensure that department standards are met on all assignments.

      -

      Accountabilities

      -
      -
      • Ensures Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

      • Champions a high-performance environment and contributes to an inclusive work environment. Assist with peer-to-peer training and knowledge-sharing.

      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

      • Acts primarily as team participant or in some cases act as Officer-In-Charge (OIC) on assignments of low to medium complexity for assigned projects, processes, and units. Executes assigned audit activities independently as a team member under the direction of the OIC on assignments. This includes completion of audit testing, discussions with management and documentation of work performed.

      • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Obtains a thorough understanding of the business/unit/process and associated risks, supports the planning of audits or assigned areas, ensuring scope and extent of work is in accordance with the approved plan, and audit methodology.

      • Ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. The incumbent will provide value-added recommendations to management as part of audits or on special projects / assignments.

      • Conduct data analytics to support relevant audit projects as required. Develop and/or enhance dashboards to enable data-driven continuous monitoring and auditing.

      • Ensure timely completion of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and findings are communicated timely to management.

      Education/Experience

      • 3-5 years of experience in retail credit risk management, knowledge of risk management regulation framework. Prior experience with SOX controls (IFRS9) is preferred.

      • Proficient in advanced data analytics, credit risk modeling techniques and analytical tools (SAS, SQL, R, Python, Alteryx).

      • Working knowledge or experience in Machine Learning techniques (clustering, decision trees, neural networks) and other advanced statistical analysis techniques and concepts is an asset.

      • Proficient experience with data visualization tools such as PowerBI is preferred.

      • Highly motivated self-starter with good project and time management skill, thrives in a dynamic and fast-paced environment. Has the ability to work on multiple projects at any given time.

      • Strong interpersonal and communication skills (verbal and written) to collaborate with teams and management at various levels. Experience in writing and presenting data analytics/MIS results.

      • Degree in a quantitative discipline (e.g. Statistics, Computer Science, Finance) or related experience.

      • Spanish language skill would be an asset, though not required.

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Retail-Credit-Risk-Audit-ON-M5H1H1/585414617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:03.579Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788014-audit-manager-retail-credit-risk-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Retail-Credit-Risk-Audit-ON-M5H1H1/585414617/,draft,2024-10-10T16:31:03.563Z,import-xml-feed:Scotiabank,,,,,,, -068cdbe9-7fd7-4e8d-b406-e14a28d88019,345788132,Magna International,Senior Buyer,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-10T16:41:13.334Z,"
      -
      -

      About the Role

      -

      We have a great opportunity for a Senior Buyer for a 16month contract to support our SAP Implementation. The Senior Buyer is to buy goods and services necessary for our business. Must have the means and opportunity to raise our profits by making the most high-quality and cost-effective purchases. The Senior Buyer will have a keen eye for detail and a commercial mindset. You should know how to evaluate market conditions and different suppliers. Communication skills will help you negotiate effectively and maintain profitable relationships. The Senior Buyer will need to help mentor and assist the buyers with negotiation and sourcing decisions. The goal is to acquire supplies that are critical for the success of our business operations.

      -
      -
      -

      Your Responsibilities

      -
      1. Procuring commodities, raw materials, process materials, goods and services, subcontracted services as required and in accordance with purchasing procedures.
      2. Projecting annual cost downs for those suppliers assigned to job function
      3. Tracking and reporting monthly cost savings based on receipt history
      4. Ensuring timely MRP systems updates to provide systems accuracy related to buying information (pricing, specifications etc.)
      5. Up-front involvement with engineering group to ensure most cost-effective supply sources are identified and utilized for all new and upcoming programs
      6. Any other reasonable duty required by Management to support SAP Implementation
      7. -
      -
      -
      -

      Who we are looking for

      -
      • Minimum 5 years commodity buying experience within the automotive environment
      • Post-secondary education with business orientation
      • PMAC member with minimum level 3 status
      • Sound MRP systems knowledge
      • -Excellent analytical skills. Exceptional communication skills. Professional negotiating skills -
      • Working knowledge of Trans4M applications & SAP highly preferred
      • -
      -
      -
      -

      Your preferred qualifications

      -
      -

      Accommodations for disabilities in relation to the job selection process are available upon request.

      -

      Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

      -
      -
      -
      -

      What we offer

      -

      At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

      -
      -
      -

      Site Benefits

      -
      • Corporate Plans for Roger's Cellphone Data Plans

      • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

      • -
      -
      -
      -

      Awareness. Unity. Empowerment.

      -

      At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

      -
      -
      ",,https://jobs.magna.com/job/Concord-Senior-Buyer-ONTA-L4K-2R2/583371017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-09T16:41:13.336Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788132-senior-buyer-at-magna-international,https://jobs.magna.com/job/Concord-Senior-Buyer-ONTA-L4K-2R2/583371017/,draft,2024-10-10T16:41:13.334Z,import-xml-feed:Scrapy-Scraper,,,,,,, -f95695e0-11e3-485d-93db-7aaeeae2eda4,345760879,Accenture,Python Automation Developer,on_site,"Toronto, ON, Canada",2024-10-10T08:44:02.097Z,"
      -

      Job Description

      -
      -

      We Are:

      -


      Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com

      -

      -

      In the Advanced Technology Centers, we focus on delivering tomorrow\'s innovations to our clients today. As part of the Accenture Technology Center, you will also have an opportunity to be part of and help develop an amazing work culture that is based on diversity and collaboration. If you are looking for a company that has their people at the center of their business priorities, Advanced Technology Center is the place to be.

      -

      -

      You are:

      -

      As a Python Developer who will be working on the Data at Rest Encryption Program for financial services industry client. It is the Enterprise Computing\'s most prominent and highest priority program.

      -

      -

      Responsibilities:

      -

      You will be supported by a lead developer and working with another peer developer to collaborate with cross-functional teams to understand and capture technical requirements, designing and developing automation solutions to migrate data from unencrypted devices to encrypted assets, performing code reviews, and ensuring timely delivery of high-quality code.

      -

      show more show less
      -
      -
      -

      Qualifications

      -
      -
      -

      Basic Qualifications:

      -
        -
      • You should have a strong proficiency in Python Automation and MSSQL

      • -
      • Strong proficiency in Configuration & Release Management

      • -
      • Experience to navigate and configure Splunk, Microsoft Power BI, and Tableau dashboards or be willing to learn/upskill yourself quickly.

      • -
      • Have strong skills in communication (written/verbal), documentation, presentation, collaboration and relationship management.

      • -
      • Attention to detail and ability to diligently multi-task and respond to change with an execution focused approach.

      • -
      • Have the ability to use a structured, methodical and analytical approach with a logical thought process to problem solving and task completion

      • -
      • English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

      • -
      -
      -
      -
      -

      -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

      -
      -

      Our Commitment to Inclusion & Diversity

      -

      At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

      -

      Requesting An Accommodation

      -

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      -

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      -

      Other Employment Statements

      -

      It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

      -

      Job candidates are not required to disclose any offence for which a pardon has been granted.

      -
      -
      -
      Apply Now
      - Register for Job Alerts
      Share
      -
      Share
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      Job Link:
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      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00238825_en&title=Python%20Automation%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-17T08:49:02.504Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345760879-python-automation-developer-at-accenture,,draft,2024-10-10T08:44:02.097Z,import-xml-feed:Accenture-Job-Feed,,,,,,, -0305b379-7732-412a-80ec-b1f7aa81aece,345762488,Ada,Senior Accountant,on_site,"Ontario, Canada",2024-10-10T08:58:05.115Z,"
      -
      -
      -
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      -
      -
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
      -
      -
      -

      As Ada’s Senior Accountant, you will report to the Accounting Manager and lead the execution of Ada’s full-cycle month-end accounting in addition to assisting with day-to-day financial operations. You will have the opportunity to support Ada on its mission to automate the world’s customer service. You will work closely with Finance and Operations to ensure all work is done accurately and in a timely manner, while creating a robust internal controls framework with detailed documentation.

      -

      About You

      - -

      Outcomes

      - -

      Benefits

      - -

      Perks

      - -

      The expected salary range for this position is $90,000 to $107,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

      -

      LI-NS1

      -
      -
      -

      About Us

      -

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      -

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      -

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      -

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      -

      -

      -
      -
      ",,https://job-boards.greenhouse.io/ada18/jobs/4535781007,feed-importer@jobboard.io,,,,2024-11-09T08:58:05.115Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345762488-senior-accountant-at-ada,,draft,2024-10-10T08:58:05.115Z,import-xml-feed:Selenium-Scraper,,,,,,, a379b8be-49f5-45e7-a8af-245547b06c7f,345361479,Roche,Senior GPU Software Engineer,on_site,"Ontario, Canada",2024-10-07T08:58:02.166Z,"

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      @@ -14673,76 +15542,6 @@ edf83139-a3c1-47c8-bf8e-b9a2e21474bb,346258813,Roche,GCP Strategy Lead,on_site,"

      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

      ",,https://careers.roche.com/global/en/job/202409-124758/GCP-Strategy-Lead,feed-importer@jobboard.io,,,,2024-10-17T09:03:03.449Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258813-gcp-strategy-lead-at-roche,,draft,2024-10-14T08:58:02.489Z,import-xml-feed:Selenium-Scraper,,,,,,, -fbfce4f6-d8fc-4de4-a8cb-8ce594c63aa9,346255272,Thomson Reuters,"Product Manager, CoCounsel Customer Data Management",on_site,"Ontario, Canada",2024-10-14T08:27:01.729Z,"
      JOB DESCRIPTION
      -

      Are you looking for an amazing opportunity to build a market-leading product? The Product Manager is responsible for Customer Data management of CoCounsel, our chat-based generative AI (GenAI) assistant that works across all customer workflows.

      -


      Our mission with CoCounsel is to create professional grade AI Assistant that transforms the way of work for professionals across Legal, Tax, Risk & Fraud, and Media. We want to create a trusted AI Assistant to whom customers can confidently delegate complex work by simply telling CoCounsel what they need to accomplish, and it will draw from its vast, common “pool” of capabilities across products to get the job done.

      -


      As a Product Manager, you will own strategy & roadmap for CoCounsel customer data management with enhanced data privacy & security including seamless integrations with Document Management Systems. You will be responsible for creating scalable, secure and user centered customer data management solution, making this an ideal role for those who are seeking meaningful product ownership.

      -

      -

      About the Role

      -

      In this opportunity, as a Product Manager, CoCounsel Customer Data Management you will:

      - -

      -

      About You

      -

      Successful Product Manager candidates will exhibit and show the aspiration to further develop the following skills:

      - -

      -

      #LI-ES1

      -

      -

      What\'s in it For You?
      You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

      - -

      -

      -

      -

      -

      -


      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

      -

      -

      We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

      -

      -

      Accessibility

      -

      -

      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

      -

      -

      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

      -

      -

      -

      Protect yourself from fraudulent job postings click here to know more.

      -

      -

      More information about Thomson Reuters can be found on https://thomsonreuters.com.

      -
      ",,https://careers.thomsonreuters.com/us/en/job/JREQ182315/Product-Manager-CoCounsel-Customer-Data-Management?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-13T08:27:01.747Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346255272-product-manager-cocounsel-customer-data-management-at-thomson-reuters,,draft,2024-10-14T08:27:01.729Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, 5cee118d-1100-45d0-8c71-6276efdbc3eb,346256342,Google,"Senior Software Developer, Machine Learning, Google Workspace",on_site,"Toronto, ON, Canada",2024-10-14T08:34:02.785Z,"

      Senior Software Developer, Machine Learning, Google Workspace

      @@ -14835,40 +15634,491 @@ fbfce4f6-d8fc-4de4-a8cb-8ce594c63aa9,346255272,Thomson Reuters,"Product Manager,

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      ",,https://www.google.com/about/careers/applications/jobs/results/139062413465920198-senior-software-developer-machine-learning-google-workspace?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-17T08:39:02.200Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/346256342-senior-software-developer-machine-learning-google-workspace-at-google,,draft,2024-10-14T08:34:02.785Z,import-xml-feed:Google-Job-Feed,,,,,,, -6a300cde-c043-4151-9b27-10bc92126206,344288487,EllisDon,Software Security Architect,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2024-09-30T16:41:02.366Z,"

      Job Details

      Description

      -

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      -

      Do you want to build the software that builds cities?

      -

      EllisDon’s Software Engineering team is part of EllisDon’s Digital and Data Engineering division, an organization of 180+ people, that’s made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations, and we’re growing fast!

      -

      We are a software development studio, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5B of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

      -

      Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

      -

      In case you’re curious, here’s what the industry thinks of us think of us and some of the impacts we've made to the communities we work in.

      -

      You as a Software Security Architect will:https://www.ellisdon.com/news

      -
        -
      • Lead the security program for EllisDon’s construction management software and will develop a security-first culture within the organization.
      • -
      • Partner with Architects, Software Engineering, QA, Analytics teams, DevOps, IT, Product Owners, UX and Tech Support, to drive and align with broader EllisDon security initiatives.
      • -
      • Provide analysis and assessment of security risks and data, will advise on remediation priorities, and will follow through.
      • -
      • Provide advice on compliance matters, guiding management and staff in maintaining a compliant and secure operational environment.
      • -
      • Will be the focal point of contact for the SOC 2 certification of our software
      • +fbfce4f6-d8fc-4de4-a8cb-8ce594c63aa9,346255272,Thomson Reuters,"Product Manager, CoCounsel Customer Data Management",on_site,"Ontario, Canada",2024-10-14T08:27:01.729Z,"
        JOB DESCRIPTION
        +

        Are you looking for an amazing opportunity to build a market-leading product? The Product Manager is responsible for Customer Data management of CoCounsel, our chat-based generative AI (GenAI) assistant that works across all customer workflows.

        +


        Our mission with CoCounsel is to create professional grade AI Assistant that transforms the way of work for professionals across Legal, Tax, Risk & Fraud, and Media. We want to create a trusted AI Assistant to whom customers can confidently delegate complex work by simply telling CoCounsel what they need to accomplish, and it will draw from its vast, common “pool” of capabilities across products to get the job done.

        +


        As a Product Manager, you will own strategy & roadmap for CoCounsel customer data management with enhanced data privacy & security including seamless integrations with Document Management Systems. You will be responsible for creating scalable, secure and user centered customer data management solution, making this an ideal role for those who are seeking meaningful product ownership.

        +

        +

        About the Role

        +

        In this opportunity, as a Product Manager, CoCounsel Customer Data Management you will:

        +
          +
        • +Drive product vision, strategy by developing deep understanding of customer needs and market & technology trends for connecting CoCounsel experience to customer documents
        • +
        • +Craft a roadmap clearly translate customer challenges & opportunities into roadmap that aligns with CoCounsel and TR business goals.
        • +
        • +Oversee the entire product lifecycle, from ideation to execution, ensuring exceptional customer experiences and measurable business outcomes
        • +
        • +Partner with cross functional teams (technology, user experience design, marketing, sales, etc.) to execute the roadmap to deliver efficiently deliver high-value, innovative experiences
        • +
        • +Be the customer voice for the engineering teams, prioritizing the product backlog based on customer and business value, and using metrics to monitor and measure progress.
        • +
        • +Lead with leadership a feature/product ensuring its performance, reliability, and user delight.
        • +
        • +Clearly define and communicate the problem, opportunity, and envisioned solution to customers, cross-functional teams, and internal stakeholders.
        • +
        • +Collaborate with fellow product managers to create a unified CoCounsel experience across products.
        • +
        • +Identify and evaluate partnership opportunities to integrate with external document management systems
        -

        This is the right role for you, if you have:

        -
          -
        • A university degree in Software Engineering, or equivalent.
        • -
        • Expertise in software security concepts, tools and technologies, such as secure coding, threat modelling, SAST, DAST, encryption, authentication, etc.
        • -
        • Excellence in translating business requirements into implementable security considerations, and ability to work with software engineering team and other stakeholders to make these reality.
        • -
        • Excellence in navigating an enterprise towards SOC 2 and NIST certification.
        • -
        • Excellence in communicating complex subjects regarding strategic and tactical cybersecurity processes to stakeholders of varying technical levels.
        • -
        • Knowledge of a wide range of languages, technologies, and environments, such as JavaScript, Java, Golang, micro-services, REST API, MySQL, MongoDB, Azure, GCP, AWS, would be an asset.
        • +

          +

          About You

          +

          Successful Product Manager candidates will exhibit and show the aspiration to further develop the following skills:

          +
            +
          • 3+ years of Product Management experience
          • +
          • Able to analyze data and communicate with users to gather insights with ease, efficiency & comfortability
          • +
          • Have curiosity and interest in learning more about Gen AI
          • +
          • Experience building Enterprise SaaS products is a plus
          • +
          • Experience working with Document Management Solution is a plus
          • +
          • Legal understanding is a plus
          -

          EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

          -

          Go ahead and be yourself. We'll pay you for it!

          -

          We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

          -

          Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

          -

          We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      -:

      Motivations

      -:

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=c52e92ec-67b7-4cf5-8f14-120eaef03c85,feed-importer@jobboard.io,,,,2024-10-30T16:41:02.366Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344288487-software-security-architect-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=c52e92ec-67b7-4cf5-8f14-120eaef03c85,draft,2024-09-30T16:41:02.366Z,import-xml-feed:Scrapy-Scraper,,,,,,, -dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Manager III, Mid-Market Enterprise, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.280Z,"
      +

      +

      #LI-ES1

      +

      +

      What\'s in it For You?
      You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

      + +

      +

      +

      +

      +

      +


      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

      +

      +

      We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

      +

      +

      Accessibility

      +

      +

      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

      +

      +

      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

      +

      +

      +

      Protect yourself from fraudulent job postings click here to know more.

      +

      +

      More information about Thomson Reuters can be found on https://thomsonreuters.com.

      +
      ",,https://careers.thomsonreuters.com/us/en/job/JREQ182315/Product-Manager-CoCounsel-Customer-Data-Management?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-13T08:27:01.747Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/346255272-product-manager-cocounsel-customer-data-management-at-thomson-reuters,,draft,2024-10-14T08:27:01.729Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, +a418f89c-6825-4379-946a-acc424558796,345788098,KPMG,"Senior Consultant, Human Resources, Mergers & Acquisitions",on_site,"Toronto, Canada",2024-10-10T16:35:02.049Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      KPMG's Strategy and deal execution (M&A) team helps companies deliver value from mergers and acquisitions throughout the deal lifecycle. We specialize in advisory for pre-deal due diligence and carve-outs, as well as post-merger integrations. We work with management to assess the impacts of transactions, perform assessment to identify value, and develop detailed implementation plans to help ensure the strategic rationale of the acquisition or divestment is delivered. Our clients, include publicly, privately, and private equity held companies across a variety of industries.

      Human Resource Mergers & Acquisitions (HR M&A) sits within the broader Strategy and deal execution (M&A) team in Deal Advisory. The Strategy and deal execution (M&A) team focuses on all aspects of the Deal lifecycle advising on the operational enablement of large, global M&A programs.

      In HR M&A we support clients in managing the overall employee experience and advise on all aspects relating to people, culture and change management across the deals process from HR due diligence through to deal execution.

      Our clients are typically private equity funds, pension funds, large public companies, and private corporations.

      Learn more about KPMG’s Strategy and deal execution practice here.

      Are you a talented individual with a proven track record on executing project deliverables.

      Our Strategy and deal execution (M&A) team in Toronto is looking for a professional like you with the skills and drive to make a real difference.

      As a Senior Consultant, Human Resources, Mergers & Acquisitions, you will advise on all aspects relating to HR and change management on the deals process, from HR due diligence through to deal execution.


      What you will do


      What you bring to the role



      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/23648?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788098-senior-consultant-human-resources-mergers-acquisitions-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23648?lang=en-us,draft,2024-10-10T16:35:02.049Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +cc2b2a4a-1a6b-4f57-93d5-3f3c18482097,345788014,Scotiabank,"Audit Manager, Retail Credit Risk Audit",on_site,Canada : Ontario : Toronto,2024-10-10T16:31:03.563Z,"

      +

      +

      +

      +

      Requisition ID: 208346

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +
      +

      Purpose

      The Bank's Internal Audit Department plays a key role as the third line of defense. The Retail Credit Risk Audit Group has responsibility for providing independent assurance over the effectiveness of controls for retail and small business risk management.

      The objective of this position is to support and manage audits to assess the design and operational effectiveness of internal controls and regulatory compliance relating to credit risk management activities in Canada and International locations.

      The incumbent will be required to work as part of a team that audit major business lines in assessing controls relating to credit lifecycle (i.e. origination, adjudication, account management and collections). In particular, the strong SME component of the role requires the incumbent to have strong demonstrable skills in data analytics and knowledge of credit risk modelling/ strategies and risk management frameworks. The incumbent will ensure that department standards are met on all assignments.

      +

      Accountabilities

      +
      +
      • Ensures Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

      • Champions a high-performance environment and contributes to an inclusive work environment. Assist with peer-to-peer training and knowledge-sharing.

      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

      • Acts primarily as team participant or in some cases act as Officer-In-Charge (OIC) on assignments of low to medium complexity for assigned projects, processes, and units. Executes assigned audit activities independently as a team member under the direction of the OIC on assignments. This includes completion of audit testing, discussions with management and documentation of work performed.

      • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Obtains a thorough understanding of the business/unit/process and associated risks, supports the planning of audits or assigned areas, ensuring scope and extent of work is in accordance with the approved plan, and audit methodology.

      • Ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. The incumbent will provide value-added recommendations to management as part of audits or on special projects / assignments.

      • Conduct data analytics to support relevant audit projects as required. Develop and/or enhance dashboards to enable data-driven continuous monitoring and auditing.

      • Ensure timely completion of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and findings are communicated timely to management.

      Education/Experience

      • 3-5 years of experience in retail credit risk management, knowledge of risk management regulation framework. Prior experience with SOX controls (IFRS9) is preferred.

      • Proficient in advanced data analytics, credit risk modeling techniques and analytical tools (SAS, SQL, R, Python, Alteryx).

      • Working knowledge or experience in Machine Learning techniques (clustering, decision trees, neural networks) and other advanced statistical analysis techniques and concepts is an asset.

      • Proficient experience with data visualization tools such as PowerBI is preferred.

      • Highly motivated self-starter with good project and time management skill, thrives in a dynamic and fast-paced environment. Has the ability to work on multiple projects at any given time.

      • Strong interpersonal and communication skills (verbal and written) to collaborate with teams and management at various levels. Experience in writing and presenting data analytics/MIS results.

      • Degree in a quantitative discipline (e.g. Statistics, Computer Science, Finance) or related experience.

      • Spanish language skill would be an asset, though not required.

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Retail-Credit-Risk-Audit-ON-M5H1H1/585414617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:03.579Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788014-audit-manager-retail-credit-risk-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Retail-Credit-Risk-Audit-ON-M5H1H1/585414617/,draft,2024-10-10T16:31:03.563Z,import-xml-feed:Scotiabank,,,,,,, +068cdbe9-7fd7-4e8d-b406-e14a28d88019,345788132,Magna International,Senior Buyer,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-10T16:41:13.334Z,"
      +
      +

      About the Role

      +

      We have a great opportunity for a Senior Buyer for a 16month contract to support our SAP Implementation. The Senior Buyer is to buy goods and services necessary for our business. Must have the means and opportunity to raise our profits by making the most high-quality and cost-effective purchases. The Senior Buyer will have a keen eye for detail and a commercial mindset. You should know how to evaluate market conditions and different suppliers. Communication skills will help you negotiate effectively and maintain profitable relationships. The Senior Buyer will need to help mentor and assist the buyers with negotiation and sourcing decisions. The goal is to acquire supplies that are critical for the success of our business operations.

      +
      +
      +

      Your Responsibilities

      +
      1. Procuring commodities, raw materials, process materials, goods and services, subcontracted services as required and in accordance with purchasing procedures.
      2. Projecting annual cost downs for those suppliers assigned to job function
      3. Tracking and reporting monthly cost savings based on receipt history
      4. Ensuring timely MRP systems updates to provide systems accuracy related to buying information (pricing, specifications etc.)
      5. Up-front involvement with engineering group to ensure most cost-effective supply sources are identified and utilized for all new and upcoming programs
      6. Any other reasonable duty required by Management to support SAP Implementation
      7. +
      +
      +
      +

      Who we are looking for

      +
      • Minimum 5 years commodity buying experience within the automotive environment
      • Post-secondary education with business orientation
      • PMAC member with minimum level 3 status
      • Sound MRP systems knowledge
      • +Excellent analytical skills. Exceptional communication skills. Professional negotiating skills +
      • Working knowledge of Trans4M applications & SAP highly preferred
      • +
      +
      +
      +

      Your preferred qualifications

      +
      +

      Accommodations for disabilities in relation to the job selection process are available upon request.

      +

      Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

      +
      +
      +
      +

      What we offer

      +

      At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

      +
      +
      +

      Site Benefits

      +
      • Corporate Plans for Roger's Cellphone Data Plans

      • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

      • +
      +
      +
      +

      Awareness. Unity. Empowerment.

      +

      At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

      +
      +
      ",,https://jobs.magna.com/job/Concord-Senior-Buyer-ONTA-L4K-2R2/583371017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-09T16:41:13.336Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788132-senior-buyer-at-magna-international,https://jobs.magna.com/job/Concord-Senior-Buyer-ONTA-L4K-2R2/583371017/,draft,2024-10-10T16:41:13.334Z,import-xml-feed:Scrapy-Scraper,,,,,,, +7205260e-1e2a-457e-8c20-e8ae8f078e02,346298815,KPMG,Senior Analyst,on_site,"Toronto, Canada",2024-10-14T16:35:03.229Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      We are looking for a dynamic, experienced Cyber Security professional to join our growing Cyber Security Services team as Senior Analyst. KPMG’s leading cyber security practice provides a comprehensive suite of cyber security services, from cyber governance, strategy, defense and response, through to complete end-to-end cyber security transformation services.

      This is an exciting opportunity for talented, energetic people to join a practice that is experiencing significant growth. We are looking for candidates who have demonstrated academic, business and technical excellence, strong all-around capabilities, and fit with our culture. Individuals who can work in a dynamic, fluid and entrepreneurial environment will excel, and will find a wide range of opportunities within our growing practice. It is an excellent opportunity for those that are looking to work in a firm and department with great career progression opportunities and wanting to be part of building a premier cyber consulting team.


      What you will do


      What you bring to the role

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/23151?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-17T16:40:02.886Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346298815-senior-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23151?lang=en-us,draft,2024-10-14T16:35:03.229Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +0305b379-7732-412a-80ec-b1f7aa81aece,345762488,Ada,Senior Accountant,on_site,"Ontario, Canada",2024-10-10T08:58:05.115Z,"
      +
      +
      +
      At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
      +
      +
      Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +
      +
      +
      +

      As Ada’s Senior Accountant, you will report to the Accounting Manager and lead the execution of Ada’s full-cycle month-end accounting in addition to assisting with day-to-day financial operations. You will have the opportunity to support Ada on its mission to automate the world’s customer service. You will work closely with Finance and Operations to ensure all work is done accurately and in a timely manner, while creating a robust internal controls framework with detailed documentation.

      +

      About You

      +
        +
      • You have 2 - 4 years of experience in a full-cycle month-end accounting role, preferably in a tech or B2B SaaS environment.
      • +
      • You have completed your CPA designation.
      • +
      • You have experience with NetSuite and its Advanced Revenue Management (ARM) module.
      • +
      • You have experience with IFRS.
      • +
      • You have experience reporting with multiple currencies and complex consolidations.
      • +
      • You have exceptional attention to detail and strong Excel skills.
      • +
      • You love figuring out the numbers and drawing insights from what you uncover.
      • +
      • You are looking to be in a fast-paced environment with opportunities to learn and grow.
      • +
      +

      Outcomes

      +
        +
      • Execute the full cycle month-end close process, including preparing journal entries and reconciliations in addition to the ownership of capitalized commissions, accruals, prepaids, leases, fixed assets and cash.
      • +
      • Ensure the accuracy and completeness of revenue by processing contracts and contract amendments into NetSuite on a timely basis.
      • +
      • Preparation of revenue recognition entries and related monthly reports and reconciliations, including variance analyses of subscription revenue.
      • +
      • Preparation and analysis of month over month variances in the balance sheet and income statement.
      • +
      • Assist with finance operations tasks, including issuing customer invoices, customer collections and processing customer billing requests.
      • +
      • Assist with the annual audit of the consolidated financial statements.
      • +
      • Create and update process documentation where necessary.
      • +
      • Identify opportunities for process improvements in the month-end close cycle.
      • +
      +

      Benefits

      +
        +
      • Competitive salary and generous stock option plan
      • +
      • Unlimited vacation
      • +
      • Wellness account
      • +
      • Extended health coverage
      • +
      • Dental/optical/travel insurance
      • +
      • Life insurance
      • +
      • Employee and family assistance plan
      • +
      +

      Perks

      +
        +
      • Flexible work schedule
      • +
      • Remote-first, In-person friendly work environment with WFH budget
      • +
      • Paid parental leave for Canadian residents
      • +
      • Development opportunities
      • +
      +

      The expected salary range for this position is $90,000 to $107,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

      +

      LI-NS1

      +
      +
      +

      About Us

      +

      Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

      +

      We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

      +

      Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

      +

      Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

      +

      +

      +
      +
      ",,https://job-boards.greenhouse.io/ada18/jobs/4535781007,feed-importer@jobboard.io,,,,2024-11-09T08:58:05.115Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345762488-senior-accountant-at-ada,,draft,2024-10-10T08:58:05.115Z,import-xml-feed:Selenium-Scraper,,,,,,, +f95695e0-11e3-485d-93db-7aaeeae2eda4,345760879,Accenture,Python Automation Developer,on_site,"Toronto, ON, Canada",2024-10-10T08:44:02.097Z,"
      +

      Job Description

      +
      +

      We Are:

      +


      Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com

      +

      +

      In the Advanced Technology Centers, we focus on delivering tomorrow\'s innovations to our clients today. As part of the Accenture Technology Center, you will also have an opportunity to be part of and help develop an amazing work culture that is based on diversity and collaboration. If you are looking for a company that has their people at the center of their business priorities, Advanced Technology Center is the place to be.

      +

      +

      You are:

      +

      As a Python Developer who will be working on the Data at Rest Encryption Program for financial services industry client. It is the Enterprise Computing\'s most prominent and highest priority program.

      +

      +

      Responsibilities:

      +

      You will be supported by a lead developer and working with another peer developer to collaborate with cross-functional teams to understand and capture technical requirements, designing and developing automation solutions to migrate data from unencrypted devices to encrypted assets, performing code reviews, and ensuring timely delivery of high-quality code.

      +

      show more show less
      +
      +
      +

      Qualifications

      +
      +
      +

      Basic Qualifications:

      +
        +
      • You should have a strong proficiency in Python Automation and MSSQL

      • +
      • Strong proficiency in Configuration & Release Management

      • +
      • Experience to navigate and configure Splunk, Microsoft Power BI, and Tableau dashboards or be willing to learn/upskill yourself quickly.

      • +
      • Have strong skills in communication (written/verbal), documentation, presentation, collaboration and relationship management.

      • +
      • Attention to detail and ability to diligently multi-task and respond to change with an execution focused approach.

      • +
      • Have the ability to use a structured, methodical and analytical approach with a logical thought process to problem solving and task completion

      • +
      • English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

      • +
      +
      +
      +
      +

      +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

      +
      +

      Our Commitment to Inclusion & Diversity

      +

      At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

      +

      Requesting An Accommodation

      +

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      +

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      +

      Other Employment Statements

      +

      It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

      +

      Job candidates are not required to disclose any offence for which a pardon has been granted.

      +
      +
      +
      Apply Now
      + Register for Job Alerts
      Share
      +
      Share
      +
      Job Link:
      Copy
      +
      +
      +
      +
      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00238825_en&title=Python%20Automation%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-17T08:49:02.504Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345760879-python-automation-developer-at-accenture,,draft,2024-10-10T08:44:02.097Z,import-xml-feed:Accenture-Job-Feed,,,,,,, +087baa1b-2eaa-45dc-9552-a35fa11e489a,346298836,Magna International,Human Resources Supervisor- Nights,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-14T16:41:02.117Z,"
      +
      +

      About the Role

      +

      Lead in the establishment and administration of Human Resources personnel policies and practices that reflect the spirit of the Magna Employee’s Charter and support our internal and external customers’ requirements in a prompt, courteous and timely manner.

      +
      +
      +

      Your Responsibilities

      +
      1. +Lead and facilitate functional training & development initiatives. Oversee and coordinate the daily performance of the worksite to ensure a high level of compliance in accordance with Co-Ex-Tec's policies and procedures. +
      2. +Act as the primary point of contact for all legal, health and safety, personal and production related issues. Act as the primary trainer for the off shift, facilitate all needed training as required. +
      3. +Lead day-to-day activities and resolve personnel issues to ensure production goals are met. Conduct workplace investigations +
      4. Bridge communication between shifts
      5. +Disability & Labour management including return to work coordination. Provide support and partner with Management on issues related to Employee Relations, Performance Management and Employee Development +
      6. Assist in administering work shortage cycles ensuring that the Company meets its customers' needs and employees are treated fairly and consistently as per Magna guidelines, legislative requirements etc.
      7. +
      +
      +
      +

      Who we are looking for

      +
      • Post-Secondary Degree/Diploma in business or related field and/or Human Resources certification, preferred.
      • Minimum 3 years’ experience in the Human Resources field within a manufacturing environment
      • +Well-developed communication, organizational, interpersonal, and analytical abilities. Data driven and action oriented. +
      • Basic Microsoft Office skills
      • +Ability to work primarily on night / afternoon shifts. Flexibility in terms of working hours +
      • Ability to work with little to no supervision.
      • +
      +
      +
      +

      Your preferred qualifications

      +
      +

      Accommodations for disabilities in relation to the job selection process are available upon request.

      +

      Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

      +
      +
      +
      +

      What we offer

      +

      At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

      +
      +
      +

      Site Benefits

      +
      • Medical and Dental Benefits after 1 month of employment
      • Profit Sharing (EEPPP) and Company Match Group RRSP Program
      • Company Paid Basic Life Insurance and Accidental Death and Dismemberment (AD&D)
      • Corporate Plans for Roger's Cellphone Data Plans
      • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc...
      • Educational Assistance Program
      • +
      +
      +
      +

      Awareness. Unity. Empowerment.

      +

      At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

      +
      +
      ",,https://jobs.magna.com/job/Concord-Human-Resources-Supervisor-Nights-ONTA-L4K-2R2/583615717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-13T16:41:02.117Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346298836-human-resources-supervisor-nights-at-magna-international,https://jobs.magna.com/job/Concord-Human-Resources-Supervisor-Nights-ONTA-L4K-2R2/583615717/,draft,2024-10-14T16:41:02.117Z,import-xml-feed:Scrapy-Scraper,,,,,,, +f14d9b69-19a5-4db1-a77a-cf8858c46256,345182862,BELL CANADA,2025 Graduate Program- Technology Project Management,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:02.558Z,"

       ​Req Id: 420034


      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

       

      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


      Join us. You belong at Bell. 

       

      Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

       

      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

       

      +
      +
      +

      +
      +
      +

      This application is specifically for the Graduate program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

      +

       

      +

      Why join us?
       

      +
        +
      • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
      • +
      • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
      • +
      • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
      • +
      • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
      • +
      • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
      • +
      +

       

      +

      What you’ll do

      +

      Customers are at the centre of Bell’s tech transformation. Embedded in the team, you will have the opportunity to lead customer-centric products that impact how people and businesses connect, work and learn. Grads will work together with teams across the spectrum to deliver exceptional experiences through cost-effective project management. 

      +

       

      +

      Some of your day-to-day responsibilities might include managing innovative products or driving product lifecycles, and more. You’ll bring fresh perspectives to the team and to our clients through competitive benchmarking, analysis and business planning. Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

      +
      +
      +
      +
      +

      +
      +
      +

      What we’re looking for

      +

      Within our Technology Product Management domain, we have several opportunities available. For more details on each of the roles below, click here.  
       
      •    Technical Network Architecture Specialist 
      •    Technology Project Manager
      •    Technical Product/Program Manager

      +

       

      +

      Requirements

      +
        +
      • You have a Bachelor's or Master's degree in a STEM or business-related field OR a college/CEGEP diploma or post-grad certificate in a STEM-related field completed before the program start date and no earlier than three years before your application date. 
      • +
      • You have less than three years of combined professional experience, excluding past internship experiences.
      • +
      +

       

      +

      Technical Skills (you have some of the following)

      +
        +
      • You are familiar with project/program management principles, frameworks and tools (e.g. PMP) and can run effective meetings
      • +
      • You are experienced in lean/agile methods, processes and tools (e.g. JIRA, Kanban) and have knowledge of how to drive product lifecycles
      • +
      • You are tech savvy with a desire to keep up-to-date with the latest technology (including IT and cloud) and trends by monitoring competitors and market shifts
      • +
      +
      +
      +
      +
      +

      +
      +
      +

      Leadership Skills

      +
        +
      • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
      • +
      • You gain the trust of your teams, being known for demonstrating fairness and respect.
      • +
      • You promote belonging and are flexible, accountable and collaborative.
      • +
      • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
      • +
      • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
      • +
      • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
      • +
      • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
      • +
      • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
      • +
      • You are committed to growing your skills and learning from others.
      • +
      • Your leadership qualities have been demonstrated through extracurricular activities and projects.
      • +
      +
      +
      +
      +
      +

      +
      +
      +

      Applying is simple 

      +

      Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

      +

      1.    Review our programs and indicate up to three role choices in your application.
      2.    Complete your video interview within 48 hours. 
      3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
      4.    If selected from previous step, you will be invited to a virtual panel interview.

      +

       

      +

      Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

      +


      Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

      +
      +
      +
      +
      +

      +
      +
      +
      +

      #EmployeeReferralProgram #CampusProduct24

       

      Adequate knowledge of French is required for positions in Quebec.

       

      Additional Information:
      Position Type: Management 
      Job Status: Grad Hire 
      Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Bedford || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
      Work Arrangement: Hybrid
      Application Deadline: 11/03/2024

       

      For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

       

      Please apply directly online to be considered for this role.  Applications through email will not be accepted.

       

      We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

       

      We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

       

      We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
       

      Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

       

      Created: Canada, ON, Toronto

       

      Bell, one of Canada's Top 100 Employers.

      ",,https://jobs.bell.ca/ca/en/job/BECACA420034EXTERNALENCA/2025-Graduate-Program-Technology-Project-Management?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-04T21:25:02.572Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345182862-2025-graduate-program-technology-project-management-at-bell-canada,BECACA420034EXTERNALENCA,draft,2024-10-05T21:25:02.558Z,import-xml-feed:Bell-Canada,,,,,,, +3350cbbe-b6c8-4f9e-942e-f0756baaf11a,346652964,Scotiabank,"Audit Manager, IT Audit",on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.681Z,"

      +

      +

      +

      +

      Requisition ID: 209119

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Purpose
      The Audit Department is the 3rd Line of Defense and plays a key role in the internal control system of the Bank. Its mandate is to provide enterprise-wide, independent, objective assurance over the design and operation of the Bank’s internal control, risk management and governance processes.

      +

      The objective of this position is to fulfill a Manager role, within a team of IT audit professionals, to assess the design and operational effectiveness of internal controls relating to IT technology, applications, data, third party, risk management, projects and related processes supporting businesses throughout Bank.

      +

      Accountabilities

      +
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

      • Act primarily as Team Participant or in some cases act as Officer-In-Charge (OIC) on assignments of low to medium complexity for assigned projects, processes and units.

      • Ensure Scotiabank standards and the Institute of Internal Auditors (IIA) Code of Ethics are maintained in completion of all assignments.

      • Execute assigned audit activities independently and as a team member under the direction of the OIC on assignments. This includes completion of audit testing, discussions with management and documentation of work performed.

      • Executes, plans, and reports on the assigned audit projects. Obtains a thorough understanding of the business/unit/process and associated risks, develops a risk-based audit plan/procedures, and schedules timing and resources.

      • Delivers end-to- end process of the execution of the audit, and ensures nature and extent of testing is appropriate to support the objective, scope and overall opinion. Completes timely review of workpapers, ensures internal control weaknesses are clearly documented with recommendations addressing the root cause and are communicated timely to management.

      • Ensures audit results are gathered, determine the root cause of the problem and the associated impact and report accordingly. Review/edit reports and summarize issues. Present an overview of the audit results and findings to line management.

      • Ensures audit reports are written to a consistent high standard and are finalized within established department metrics.

      • Execute agreed upon procedures for specific projects or investigations of a low to moderate complexity and/or confidential nature. May assist other audit staff in more complex projects that Audit may be requested to perform. Plan, document and seek agreement in advance to the project approach and confirm conclusions upon completion in writing.

      • Manage self-development by confirming/communicating job expectations, identifying mentors/coaches and enquiring about training needs, ensuring timely completion of performance appraisals and manages assigned staff.

      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

      • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

      • Champions a high performance environment and contributes to an inclusive work environment.

      • +
      +

      Education/Work Experience

      +
      • Proficient in auditing IT processes general controls (ITGC), application, data, third party, technology controls and Project audits. Technology Risk Management experience in financial services industry is a significant advantage.

      • Proficient at applying risk-based auditing standards, practices, techniques, processes and methodologies to performance and review of audits.

      • Working knowledge of the operations and regulatory environments of each of the audit units globally, as required for specific areas of assigned responsibility.

      • Ability to participate in multiple projects at any given time.

      • Developed interpersonal and communication skills (verbal and written) to work with staff and management at various levels.

      • Good analytical skills and proficiency in the use of data analytic or visualization tools. Experience with Python, JavaScript, and Data Analytics and using automation and data analytics tools including SAS, ACL, advanced Excel, etc.

      • Ability to work in high levels of ambiguity and in a rapidly changing environment.

      • Bachelor's degree in Information Technology, Computer Science or related field.

      • One or more of the following certifications: CIA, CISA, CRISC, CDMP, CIMP

      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-IT-Audit-ON/585669817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-16T16:31:03.690Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346652964-audit-manager-it-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-IT-Audit-ON/585669817/,draft,2024-10-17T16:31:03.681Z,import-xml-feed:Scotiabank,,,,,,, +9fb0b62c-cff6-4644-93ad-bfc3bbd29940,346652966,Scotiabank,GTB - Global Commercial Card Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.864Z,"

      +

      +

      +

      +

      Requisition ID: 207266

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: January - April 2025

      +

      +

      Application Deadline: 10/18/2024

      +

      +

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      +

      Global Transaction Banking (GTB) is a strategically important franchise that offers comprehensive transaction banking solutions on a global basis to Small Business, Commercial, Corporate and Multinational clients. GTB supports clients to manage their payments, collections, optimize cash conversion cycle and invest excess working capital.

      +

      As Analyst, Commercial Cards Portfolio Management on the Commercial Cards team you will play a critical role in leading and driving the Commercial Cards portfolio management initiatives. This includes monitoring the performance of client programs as well as the general portfolio P&L to identify opportunities around cost avoidance, cost savings, growth and improved client margins.

      +

      This position contributes to the profitability and revenue growth of the Global Transaction Banking portfolio through supporting the establishment of sound financial strategies of the Commercial Cards solutions and therefore maximize market share, enhanced growth opportunities and experience.

      +

      Is this role right for you? In this role, you will:

      +

      +

      Support growth in revenues and customer satisfaction on the Commercial Cards portfolio by:

      +
      • Enhance the competitive advantage of the product by generating insights from data that will help the product team when formulating the product strategy.
      • Collaborating with the Technology, Sales, and AML/Risk teams to understand the product vision, including the customer impacts, business/stakeholder value, system dependencies and technological processes, both internal and external
      • Monitor monthly product results to ensure products are performing as expected and resolving issues that arise in a timely manner with updates to partners and escalations to management as required
      • Maintain the end-to-end process map, helping ensure accountable stakeholders are operating to the agreed responsibilities
      • Determining where product gaps may exist with respect to customer needs, competitive offerings, and market trends
      • Understanding the voice of the customer and front-line staff to improve product quality
      • Participating in vendor partnership management to support product portfolio
      • Providing ad hoc support and subject matter expertise to partners as require​​​​​​​ ​​​​​​​​​​​​​​​​​​​​​
      • +
      +

      +

      Review financials, key performance indicators, and trends for:

      +
      • Determining key product opportunities and issues by maintaining critical financial lens
      • Working with the pricing and operations teams to drive revenues and implement margin enhancement opportunities
      • Maintaining a high quality market intelligence program, including the competitive landscape, customer needs, and external stakeholder management
      • Support special pricing requests and RFP opportunities
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You have excellent analytical, written, and verbal communication skills.
      • You are an enthusiastic self-starter with ability to prioritize and multi-task, working both independently and within a team environment.
      • You have great attention to detail, are proactive and responsive to short deadlines.
      • +Self-starter possessing confidence and initiative; able to cope with changing and evolving priorities while identifying new opportunities
      • Excellent communication, interpersonal, and strategic negotiating skills
      • Understanding of payments, industry trends and practices, innovative digital platforms, policies and procedures. Familiarity with the way large market Accounts Payable and Procurement departments operate.
      • Excellent Data Management skills, Outstanding Excel knowledge, proficiency in PowerBi an asset.
      • +
      +

      +

      What’s in it for you?

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +
      +

      +

      How do I apply?

      +
      • For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:
      • Complete your PLUM Profile here and save as a screenshot.
      • Complete a short one-way video interview here.
      • Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      • +
      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-GTB-Global-Commercial-Card-InternshipCo-Op-Winter-2025-ON/584620017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652966-gtb-global-commercial-card-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GTB-Global-Commercial-Card-InternshipCo-Op-Winter-2025-ON/584620017/,draft,2024-10-17T16:31:03.864Z,import-xml-feed:Scotiabank,,,,,,, +43028973-b373-4cad-8753-82c77c3aa1e5,346634033,Google,"Senior Software Developer, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-17T08:34:01.912Z,"
      -

      Customer Engineering Manager III, Mid-Market Enterprise, Google Cloud

      +

      Senior Software Developer, Google Cloud Platforms

      @@ -14887,21 +16137,21 @@ dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Mana
      -corporate_fareGoogleplaceToronto, ON, Canada; Austin, TX, USA; +10 more; +9 more
      +corporate_fareGoogleplaceWaterloo, ON, Canada
      -bar_chartAdvanced +bar_chartMid
      -

      Advanced

      -
      Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
      +

      Mid

      +
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      -Apply
      +Apply
      @@ -14921,54 +16171,35 @@ dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Mana
      -
      -
      -
      info_outline
      -XInfo This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Austin, TX, USA; Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

      This role may also be located in our Playa Vista, CA campus.

      Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Austin, TX, USA; Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
      -
      - -
      -

      Minimum qualifications:

      +

      Minimum qualifications:

        -
      • Bachelor\'s degree or equivalent practical experience.
        -
      • -
      • 10 years of experience with cloud native architecture in a customer-facing or support role.
        -
      • -
      • Experience with leadership, such as people management, team lead, mentorship or coaching.
        -
      • -
      • Ability to travel up to 50% of the time.
        -
      • +
      • Bachelor’s degree or equivalent practical experience.
      • +
      • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
      • +
      • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

      Preferred qualifications:

        -
      • Experience with software lifecycles, building tools, and architecting and developing software for scalable, distributed systems, including data platform, AI/ML and infrastructure.
        -
      • -
      • Experience as a Pre-Sales Manager or a people manager in a technical customer-facing role within a professional services or Sales Engineering team.
        -
      • -
      • Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
        -
      • -
      • Experience engaging with, and presenting to, technical stakeholders and executive leaders, including tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that drive business opportunity.
        -
      • +
      • Master\'s degree or PhD in Computer Science or related technical field.
      • +
      • 1 year of experience in a technical leadership role.
      • +
      • Experience developing accessible technologies.

      About the job

      -

      The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

      -

      As a Customer Engineering (CE) Manager, you will lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.

      +

      Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

      +

      With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

      +
      Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
      +

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      -

      For United States only:

      -

      The US base salary range for this full-time position is $181,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

      -

      Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

      Responsibilities

        -
      • Lead a team of Customer Managers and build an inclusive growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory.
      • -
      • Foster strong partnerships with key customers across the book of business. Provide leadership related to cloud, transformation and relevant industry trends.
      • -
      • Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team\'s book of business.
      • -
      • Balance technical leadership with operational excellence. Lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners, and prospects.
      • -
      • Work cross-functionally across Google, our partners, and your team to resolve technical roadblocks including capacity needs, constraints and product challenges affecting customer satisfaction.
        -
      • +
      • Write and test product or system development code.
      • +
      • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
      • +
      • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
      • +
      • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
      • +
      • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
      @@ -14976,70 +16207,92 @@ dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Mana

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      -

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      -
      ",,https://www.google.com/about/careers/applications/jobs/results/96699829618385606-customer-engineering-manager-iii-midmarket-enterprise-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.289Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102860-customer-engineering-manager-iii-mid-market-enterprise-google-cloud-at-google,,draft,2024-10-21T08:34:03.280Z,import-xml-feed:Google-Job-Feed,,,,,,, -4c5fd65e-ff7e-4632-9e24-2bd285face61,347103883,CIBC,Fusion Reporting Manager,on_site,"Ontario, Canada",2024-10-21T10:04:02.120Z,"
      -

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      -

      -

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      -

      -

      To learn more about CIBC, please visit CIBC.com

      -

      -

      -

      What you\'ll be doing

      -

      -

      As a member of CIBC’s team, the Fusion Reporting Manager is responsible for supporting the delivery of operational and executive reporting, ensuring senior management has the relevant information to make informed decisions, and providing strategic data analysis. The Fusion Reporting Manager provides insights that influence department strategy, makes recommendations for management’s use, and manages reporting dashboards (creation and maintenance). The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

      -

      -

      At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

      -

      -

      How you\'ll succeed

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/83099603074720454-senior-software-developer-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-16T08:34:01.922Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634033-senior-software-developer-google-cloud-platforms-at-google,,draft,2024-10-17T08:34:01.912Z,import-xml-feed:Google-Job-Feed,,,,,,, +018df2a4-bc0f-4258-9452-bdf894ebf474,346777767,Borealis AI,Senior Manager - Advisory,on_site,"Ontario, Canada",2024-10-18T08:43:02.529Z,"
      +

      What\'s the opportunity?

      +

      We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for RBC’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems.

      At RBC Borealis, you’ll be joining a fast paced, dedicated and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products.

      +

      Your responsibilities will include:

        -
      • Business Effectiveness – Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.
      • -
      • Strategic Thinking Approach – Drive, manage, and execute data and reporting projects and initiatives in alignment with CIBC strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.
      • -
      • Relationship Management – Manage the relationship between Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.
      • -
      • Communication – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
      • -
      • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.
      • +
      • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
      • +
      • Building and supporting relationships with RBC executives, subject matter experts, and technical teams through discussions, materials preparation and other interventions;
      • +
      • Representing the business vision in the group’s product engagements and educating researchers on business needs;
      • +
      • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis AI;
      • +
      • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
      -

      -

      Who you are

      +

      You’re our ideal candidate if you:

        -
      • You can demonstrate experience with programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).
      • -
      • You have a degree in a quantitative field (i.e., mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e., MMA, MBAN, MSc, MA, MBA).
      • -
      • You are a problem solver. You have exceptional critical thinking, problem solving, and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
      • -
      • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.
      • -
      • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought, and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.
      • -
      • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.
      • -
      • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business.
      • -
      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
      • +
      • Have 5+ years of experience working at a financial or technology focused organization;
      • +
      • Were responsible for the delivery of at least one technology solution that drove material business impact;
      • +
      • Have a working knowledge of data analytics and machine learning;
      • +
      • Have experience developing relationships with senior and junior stakeholders at large enterprises;
      • +
      • Have experience developing business cases and other communications on technology projects;
      • +
      • A creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
      • +
      • Excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
      -

      -

      What CIBC Offers

      -

      -

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

      +

      What’s in it for you:

        -
      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

      • -
      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

      • -
      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

      • +
      • Be part of a dynamic & flexible working environment;
      • +
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • +
      • Leaders who support your development through coaching and managing opportunities;
      • +
      • Ability to make a difference and lasting impact from a local-to-global scale.
      -

      -

      *Subject to plan and program terms and conditions

      +

      About RBC Borealis

      +

      RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      +
      ",,https://www.borealisai.com/careers/?gh_jid=7640640002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-17T08:43:02.548Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346777767-senior-manager-advisory-at-borealis-ai,,draft,2024-10-18T08:43:02.529Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +5ef72d71-78cb-4ad0-83e1-8e6d67e2b6ae,346777669,Canadian Tire Corporation,Data Steward,on_site,"Ontario, Canada",2024-10-18T08:40:01.714Z,"
      +

      What you\'ll do

      +

      As a Data Steward within the Merchandising Business Support Team, you will play a crucial role in ensuring the accuracy, integrity, and security of our data assets. Your primary responsibility will be to manage and govern the FGL Merchandising owned data resources, ensuring compliance with data management policies and procedures. You will contribute to data sourcing, transformation and developing automated reporting, enabling data driven decisions across the organisation.

      +


      Data Governance: Develop and implement data governance strategies, policies, and procedures to ensure the effective management of data throughout its lifecycle. This includes defining data standards, data quality rules, and data classification guidelines.

      +

      Data Quality Management: Monitor and assess the quality of data across various systems and databases. Identify and resolve data quality issues by collaborating with relevant stakeholders and implementing corrective actions. Implement data profiling techniques to identify patterns, anomalies, and inconsistencies.

      +

      Data Security: Revise and enforce data access controls, privacy measures, and data protection protocols, for domains within the scope of the department.

      +

      Metadata Management: Define and maintain metadata standards for various data elements, including data dictionaries, glossaries, and business glossaries. Establish processes for capturing, documenting, and organizing metadata to enhance data understanding and facilitate efficient data usage.

      +

      Master Data Management: Oversee the creation, maintenance, and governance of master data assets. Collaborate with key stakeholders to define master data requirements, ensure consistency across systems, and enable accurate reporting and analytics.

      +

      Data Documentation: Create comprehensive documentation of data sources, structures, mappings, transformations, and business rules. Ensure documentation is up-to-date and readily accessible to users within the organization.

      +

      Data Transformation: Design and develop end-to-end data analytics solutions. Query data from standard and curated tables using SQL, use ETL pipelines in Azure for transformation, and Power BI for dashboards and end user reporting.

      +

      Data Collaboration & Querying: Facilitate collaboration between different business units to promote cross-functional data sharing and integration. Identify opportunities for leveraging shared datasets to improve decision-making processes.

      +

      Training and Education: Develop training materials and conduct training sessions to increase awareness among employees about proper data handling practices, including data entry standards, quality control measures, and adherence to data governance policies.

      -

      What you need to know

      +

      What you bring

        -
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • -
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • -
      • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

      • +
      • Educational Achievements (Diploma, bachelor’s degree, or higher) in Computer Science, Information Systems, or related field.

      • +
      • Proven experience in data management or related roles.

      • +
      • Strong knowledge of data governance frameworks, principles, and best practices.

      • +
      • Highly skilled in SQL (preferred).

      • +
      • Familiarity with building BI dashboards in tools like Power BI.

      • +
      • Familiarity with data quality assessment techniques and tools.

      • +
      • Understanding of regulatory requirements related to data security and privacy.

      • +
      • Proficiency in using metadata management tools.

      • +
      • Cloud computing experience, such as Azure, would be considered a strong asset.

      • +
      • Experience with ETL tools like Knime or Alteryx is considered an asset.

      • +
      • Excellent analytical skills with an eye for detail.

      • +
      • A curious individual.

      • +
      • Strong communication skills to collaborate effectively with cross-functional teams.

      • +
      • Ability to prioritize tasks effectively and work independently.

      +

      Join the Business Support Team as a Data Steward if you are passionate about maintaining high-quality data assets, driving data governance initiatives, and ensuring the availability of accurate information for informed decision making throughout the organization.

      +

      Hybrid

      +

      We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

      +

      About Us

      -

      -

      Job Location

      Toronto-CC East 12th Floor

      -

      Employment Type

      Regular

      -

      Weekly Hours

      37.5

      -

      Skills

      Communication, Data Analysis, Executive Reports, Management Reporting, Metrics Design, Metrics Development, Metrics Management, Operational Reporting
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Fusion-Reporting-Manager_2422583?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-20T10:04:02.130Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103883-fusion-reporting-manager-at-cibc,,draft,2024-10-21T10:04:02.120Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +

      At Sport Chek, we want to find what moves you, and help build your career from there. As Canada’s destination for footwear, apparel, and sporting goods; we believe that sport and activity has the power to help shape your style, your relationships, and your mind. Along with colleagues across the Canadian Tire family of companies, you’ll be a part of a collaborative network of like-minded individuals who draw on their collective experience to best serve customers across all banners from coast-to-coast. Join us, where there\'s a place for you here.

      +

      +

      Our Commitment to Diversity, Inclusion and Belonging

      +

      +

      We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

      +

      +

      Accommodations

      +

      +

      We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

      +

      +
      ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Data-Steward_JR136978?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-21T08:45:02.651Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/346777669-data-steward-at-canadian-tire-corporation,,draft,2024-10-18T08:40:01.714Z,import-xml-feed:Canadian-Tire,,,,,,, 4ff3e40c-8ede-4b6f-9eba-981b2bdc0bdc,347103006,Ada,Partner Marketing Manager,on_site,"Ontario, Canada",2024-10-21T08:58:04.520Z,"
      @@ -15102,6 +16355,67 @@ dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Mana

      ",,https://job-boards.greenhouse.io/ada18/jobs/4543852007,feed-importer@jobboard.io,,,,2024-11-20T08:58:04.521Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103006-partner-marketing-manager-at-ada,,draft,2024-10-21T08:58:04.520Z,import-xml-feed:Selenium-Scraper,,,,,,, +4c5fd65e-ff7e-4632-9e24-2bd285face61,347103883,CIBC,Fusion Reporting Manager,on_site,"Ontario, Canada",2024-10-21T10:04:02.120Z,"
      +

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      +

      +

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      +

      +

      To learn more about CIBC, please visit CIBC.com

      +

      +

      +

      What you\'ll be doing

      +

      +

      As a member of CIBC’s team, the Fusion Reporting Manager is responsible for supporting the delivery of operational and executive reporting, ensuring senior management has the relevant information to make informed decisions, and providing strategic data analysis. The Fusion Reporting Manager provides insights that influence department strategy, makes recommendations for management’s use, and manages reporting dashboards (creation and maintenance). The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

      +

      +

      At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

      +

      +

      How you\'ll succeed

      +
        +
      • Business Effectiveness – Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.
      • +
      • Strategic Thinking Approach – Drive, manage, and execute data and reporting projects and initiatives in alignment with CIBC strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.
      • +
      • Relationship Management – Manage the relationship between Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.
      • +
      • Communication – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
      • +
      • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.
      • +
      +

      +

      Who you are

      +
        +
      • You can demonstrate experience with programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).
      • +
      • You have a degree in a quantitative field (i.e., mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e., MMA, MBAN, MSc, MA, MBA).
      • +
      • You are a problem solver. You have exceptional critical thinking, problem solving, and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
      • +
      • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.
      • +
      • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought, and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.
      • +
      • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.
      • +
      • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business.
      • +
      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
      • +
      +

      +

      What CIBC Offers

      +

      +

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

      +
        +
      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

      • +
      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

      • +
      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

      • +
      +

      +

      *Subject to plan and program terms and conditions

      +

      +

      What you need to know

      +
        +
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • +
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • +
      • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

      • +
      +

      +

      +

      +

      +

      +

      Job Location

      Toronto-CC East 12th Floor

      +

      Employment Type

      Regular

      +

      Weekly Hours

      37.5

      +

      Skills

      Communication, Data Analysis, Executive Reports, Management Reporting, Metrics Design, Metrics Development, Metrics Management, Operational Reporting
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Fusion-Reporting-Manager_2422583?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-20T10:04:02.130Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103883-fusion-reporting-manager-at-cibc,,draft,2024-10-21T10:04:02.120Z,import-xml-feed:CIBC-Job-Feed,,,,,,, aa419fa5-ae32-4d93-ba2f-45341a2f0c1d,347118815,Scotiabank,Analyst,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.198Z,"

      @@ -15206,6 +16520,37 @@ aa419fa5-ae32-4d93-ba2f-45341a2f0c1d,347118815,Scotiabank,Analyst,on_site,Canada

      Location(s): Canada : Ontario : London || Canada : Ontario : Burlington || Canada : Ontario : Hamilton || Canada : Ontario : Oakville

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/London-Wealth-Management-Associate-Program-Private-Banking-June-2025-%28Ontario-Region%29-ON/582520817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:05.179Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347118831-wealth-management-associate-program-private-banking-june-2025-ontario-region-at-scotiabank,https://jobs.scotiabank.com/job/London-Wealth-Management-Associate-Program-Private-Banking-June-2025-%28Ontario-Region%29-ON/582520817/,draft,2024-10-21T16:31:05.172Z,import-xml-feed:Scotiabank,,,,,,, +6a300cde-c043-4151-9b27-10bc92126206,344288487,EllisDon,Software Security Architect,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2024-09-30T16:41:02.366Z,"

      Job Details

      Description

      +

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      +

      Do you want to build the software that builds cities?

      +

      EllisDon’s Software Engineering team is part of EllisDon’s Digital and Data Engineering division, an organization of 180+ people, that’s made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations, and we’re growing fast!

      +

      We are a software development studio, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5B of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

      +

      Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

      +

      In case you’re curious, here’s what the industry thinks of us think of us and some of the impacts we've made to the communities we work in.

      +

      You as a Software Security Architect will:https://www.ellisdon.com/news

      +
        +
      • Lead the security program for EllisDon’s construction management software and will develop a security-first culture within the organization.
      • +
      • Partner with Architects, Software Engineering, QA, Analytics teams, DevOps, IT, Product Owners, UX and Tech Support, to drive and align with broader EllisDon security initiatives.
      • +
      • Provide analysis and assessment of security risks and data, will advise on remediation priorities, and will follow through.
      • +
      • Provide advice on compliance matters, guiding management and staff in maintaining a compliant and secure operational environment.
      • +
      • Will be the focal point of contact for the SOC 2 certification of our software
      • +
      +

      This is the right role for you, if you have:

      +
        +
      • A university degree in Software Engineering, or equivalent.
      • +
      • Expertise in software security concepts, tools and technologies, such as secure coding, threat modelling, SAST, DAST, encryption, authentication, etc.
      • +
      • Excellence in translating business requirements into implementable security considerations, and ability to work with software engineering team and other stakeholders to make these reality.
      • +
      • Excellence in navigating an enterprise towards SOC 2 and NIST certification.
      • +
      • Excellence in communicating complex subjects regarding strategic and tactical cybersecurity processes to stakeholders of varying technical levels.
      • +
      • Knowledge of a wide range of languages, technologies, and environments, such as JavaScript, Java, Golang, micro-services, REST API, MySQL, MongoDB, Azure, GCP, AWS, would be an asset.
      • +
      +

      EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

      +

      Go ahead and be yourself. We'll pay you for it!

      +

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      +

      Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

      +

      We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      +:

      Motivations

      +:

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=c52e92ec-67b7-4cf5-8f14-120eaef03c85,feed-importer@jobboard.io,,,,2024-10-30T16:41:02.366Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344288487-software-security-architect-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=c52e92ec-67b7-4cf5-8f14-120eaef03c85,draft,2024-09-30T16:41:02.366Z,import-xml-feed:Scrapy-Scraper,,,,,,, da3c719c-55b1-44b1-912b-138b73419254,343706868,KPMG,"Manager/Senior Manager, Microsoft - Data Architect, Azure",on_site,"Toronto, Canada Vancouver, Canada Calgary, Canada",2024-09-26T16:34:02.292Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

      Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

      The KPMG Microsoft practice is currently one of our fastest growing practices and we are seeing tremendous client demand across various sectors. Our mission is to enable clients to harness the full potential of Microsoft Fabric, unlocking the power of their data and driving business transformation through AI-driven solutions. As a member of our team, you'll have the chance to work with cutting-edge technology, tackle complex data challenges, develop your skills, and contribute to business growth and innovation in a dynamic and diverse work environment.


      What you will do

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/25609?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-16T16:35:02.563Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346653019-specialist-tax-asset-management-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25609?lang=en-us,draft,2024-10-17T16:35:02.550Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -069ba8e3-7005-4639-9de2-e2b8b0d549ae,345360974,Google,"Account Manager, Large Customer Sales",on_site,"Toronto, ON, Canada",2024-10-07T08:34:03.976Z,"
      -
      -

      Account Manager, Large Customer Sales

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      -corporate_fareGoogleplaceToronto, ON, Canada
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      Early

      -
      Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
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      -Apply
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      Minimum qualifications:

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        -
      • Bachelor\'s degree or equivalent practical experience.
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      • -
      • 2 years of advertising, consultative sales, business development, online media environment, or marketing role.
        -
      • -
      -

      Preferred qualifications:

      -
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      • Master\'s degree in a business related field.
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      • 2 years of experience working in a complex, matrixed organization.
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      • -
      • 1 year of experience managing digital marketing and advertising campaigns, projects, and relationships with customers or agencies.
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      About the job

      -

      Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

      -

      Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

      -
      -
      -

      Responsibilities

      -
        -
      • Build and manage relationships with clients, and develop an understanding of their business challenges, marketing objectives, and success metrics.
        -
      • -
      • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
        -
      • -
      • Plan for, and achieve, business growth goals, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
        -
      • -
      • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers.
        -
      • -
      • Build an in-depth knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
        -
      • -
      -
      -
      -

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      -

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      -

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      -

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      -

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      -
      ",,https://www.google.com/about/careers/applications/jobs/results/78028915997582022-account-manager-large-customer-sales?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345360974-account-manager-large-customer-sales-at-google,,draft,2024-10-07T08:34:03.976Z,import-xml-feed:Google-Job-Feed,,,,,,, -c30fe4bf-16d7-4aef-a290-cfc2b57426e5,345423464,Scotiabank,Velocity - Compliance and Anti-Money Laundering Internship/Co-Op - Summer 2024 1,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.346Z,"

      -

      -

      -

      -

      Requisition ID: 206649

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Velocity – Compliance and Anti-Money Laundering Internship/Co-Op – Winter 2025

      -

      Term: January– April 2025

      -

      -

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      -

      -

      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

      -

      -

      Compliance:

      -

      Do you have a keen interest in the different sectors of the banking industry? Are you interested in learning more about business operations in the area of Compliance? The Compliance Team is seeking candidates who enjoy working collaboratively with teams internally and externally, who thrive in a fast-paced environment managing competing priorities and deadlines. Compliance is a ever-growing field ensuring different areas of the bank follow set guidelines, rules and regulations to help govern bank policies and procedures. You’ll have the opportunity to gain hands-on experience in analyzing, investigating, and solving complex Compliance problems to ensure Bank-wide success. Apply to the Activate – Compliance stream if you want to develop as a compliance professional overseeing bank governance, international global regulatory relations, and internal bank processes.

      -

      -

      Anti-Money Laundering:

      -

      The Financial Crimes Risk Management (FCRM) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program, including design and effective implementation. The program is designed to:

      -

      -
      1. Mitigate the risks of Scotiabank products or services being used for prohibited activities; and
      2. Ensure compliance with the laws and regulations applicable to the bank.
      3. -
      -

      -

      To achieve this, we support the creation and maintenance of effective Know Your Client (“KYC”) processes, a risk-based approach to monitoring client activity to identify and report potentially suspicious and/or unusual activity, specialized training, independent testing, amongst other initiatives and activities.

      -

      -

      The FCRM Team includes functions that deal with data, technology, governance, reporting, policies and procedures, investigations, analytics, and so much more. Our team is comprised of both highly technical individuals, with strong data and analytics skills, as well as individuals with a strong foundation and interest in governance and policy development – as an Activate associate, you’ll get to experience both! If this area sounds interesting to you, apply now to the GRM, FCRM stream of Activate.

      -

      -

      Is this role right for you? In this role, you will:

      -
      • Work collaboratively with teams both within and outside Global Compliance on strategic initiatives
      • Drive comprehensive and innovative solutions to complex challenges and opportunities
      • Mobilize, build, sequence, and implement capabilities for change, impact, and ongoing sustainability
      • Supporting activities could include issue identification, formulating fact-based recommendations for improvement, researching enabling solutions and tools, preparation of presentation material and socialization, as well as data collection, ingestion, and key analysis for decision-making
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
      • Self-motivated; work both independently and collaboratively with multi-functional teams
      • Able to deliver results in a fast-paced, challenging, and dynamic business environment
      • Excellent interpersonal skills, leadership, and influential capabilities
      • Excellent presentation and written communication skills are an asset.
      • -
      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • -
      -

      -

      How do I apply?

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete a short one-way video interview here.
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. -
      -

      Application Deadline: 10/18/2024

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

      -

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Compliance-and-Anti-Money-Laundering-InternshipCo-Op-Summer-2024-1-ON/584362117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.354Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423464-velocity-compliance-and-anti-money-laundering-internship-co-op-summer-2024-1-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Compliance-and-Anti-Money-Laundering-InternshipCo-Op-Summer-2024-1-ON/584362117/,draft,2024-10-07T16:31:07.346Z,import-xml-feed:Scotiabank,,,,,,, -dac83806-d3d2-451c-8d0c-819d63b97cc6,345423466,Scotiabank,Velocity - Treasury Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.560Z,"

      -

      -

      -

      -

      Requisition ID: 206615

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Velocity – Treasury Internship/Co-Op – Winter 2025

      -

      Term: January – April 2025

      -

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      -

      -

      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

      -

      -

      Is this role right for you? In this role, you will:

      -
      • Conduct reviews to ensure compliance with regulatory requirements.
      • Assist with reviewing and enforcing policies and procedures.
      • Provide support to various teams within Group Treasury.
      • Attend meetings with key stakeholders and leadership.
      • Undertake projects as required.
      • Review files for forecasting to ensure consistency.
      • Prepare data and work with data analytics.
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
      • You are a highly self-motivated individual with strong time-management skills.
      • You have an analytical mindset and investigative abilities.
      • You can lead high volume, time sensitive projects.
      • You have strong written and verbal communication skills.
      • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
      • Understanding of Capital Markets products is considered an asset.
      • Understanding of PowerBI, VBA, SAS, SQL or Tableau is considered an asset.
      • -
      -

      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • -
      -

      -

      How do I apply?

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

      -

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. -
      -
      1. Complete a short one-way video interview here
      2. -
      -
      1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      2. -
      -

      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      -

      Application Deadline: 10/18/2024

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Winter-2025-ON/584362517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.578Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423466-velocity-treasury-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Winter-2025-ON/584362517/,draft,2024-10-07T16:31:07.560Z,import-xml-feed:Scotiabank,,,,,,, -0ef9cdfb-f9c3-4298-9ace-6ac5e7a21362,345423476,Scotiabank,Wealth Management - Tax Administrator Intern/Co-op Winter 2025 (Toronto),on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.728Z,"

      -

      -

      -

      -

      Requisition ID: 206600

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: Jan – May 2025

      -

      Application Deadline: 10/18/2024

      -

      -

      There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      -

      As a Tax Administrator you will Contributes to the overall success of a Scotiatrust Taxation Services unit in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

      -

      -

      -

      Is this role right for you? In this role, you will…

      -

      -
      • Prepare income tax returns by proactively gathering and analyzing all relevant supporting documentation, such as income statements, transactions, tax slips, capital gains & losses statements, fees deductions and relevant credits
      • Discuss tax rules and tax elections with the Tax Officer, Associate Tax Officer and/or Manager, Taxation, and assess client tax situations, perform detailed analysis, undertake research, and provide and suggestion around specific course of action in less complex situation.
      • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-today activities and decisions.
      • Actively pursue effective and efficient operations of his/her respective areas, while ensuring thorough knowledge of, and strict adherence to, the Bank’s Global Sales Practices, ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -

      -
      • You are currently enrolled in post-secondary education.
      • You have strong computer skills, including knowledge of tax preparation programs and Microsoft applications (especially PowerPoint, Excel and Word), salesforce and the Broadridge Trust System.
      • You are detail oriented.
      • You have customer service focus.
      • You have strong organizational skills.
      • You take initiative, work well with minimal direction and multi-task.
      • You have strong writing skills and exceptional attention to detail.
      • -
      -

      -

      -

      How do I apply?

      -

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. -
      -

      -

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      -

      -

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Tax-Administrator-InternCo-op-Winter-2025-%28Toronto%29-ON/584349017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423476-wealth-management-tax-administrator-intern-co-op-winter-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Tax-Administrator-InternCo-op-Winter-2025-%28Toronto%29-ON/584349017/,draft,2024-10-07T16:31:08.728Z,import-xml-feed:Scotiabank,,,,,,, -f6463c59-221a-43c5-b0a4-695633d3a747,345423483,Scotiabank,Canadian Banking - Marketing & Communications Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:09.600Z,"

      -

      -

      -

      -

      Requisition ID: 206544

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: January - April 2025

      -

      Application Deadline: 10/18/2024

      -

      -

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership, and Opportunity).

      -

      -

      Is this role right for you? In this role, you will:

      -
      • Support the team by managing business-as-usual updates and new requests for resources and supporting material.
      • Support new requests and updates for marketing resources.
      • Help evolve and improve the user experience by exploring internal and external best practices.
      • Work with business partners on the creation of relevant, timely material.
      • Assist in tracking efforts, establishing KPI reporting, and performing necessary analysis to organize information and draw actionable insights.
      • -
      -

      -

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      -
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
      • You have a high level of competency with MS Office suite.
      • You have strong written and verbal communication skills.
      • You can manage multiple tasks at once and are adaptable with priorities.
      • You can create engaging slide decks and have experience in creative projects.
      • -
      -

      -

      What’s in it for you?

      -
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • -
      -

      -

      How do I apply?

      -

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -

      -
      1. Complete your PLUM Profile here and save it as a screenshot.
      2. Complete a short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. -
      -

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

      -

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Marketing-&-Communications-InternshipCo-op-Winter-2025-ON/584329617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423483-canadian-banking-marketing-communications-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Marketing-&-Communications-InternshipCo-op-Winter-2025-ON/584329617/,draft,2024-10-07T16:31:09.600Z,import-xml-feed:Scotiabank,,,,,,, -6c209587-eb97-4a05-b944-bbf547d5f919,345449111,BELL CANADA,2025 Internship Program- Engineering,on_site,"Barrie, Ontario, Canada",2024-10-07T21:25:03.776Z,"

      ​Req Id: 420078


      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

       

      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


      Join us. You belong at Bell. 

       

      Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads and interns attending exclusive events and networking opportunities. 

       

      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

       

      -
      -
      -

      -
      -

      This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

      -
      -
      -
      -

      Why join us?

      -
      -
      -
        -
      • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
      • -
      • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
      • -
      • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
      • -
      • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
      • -
      • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
      • -
      • Develop your technical and leadership skills through formal and experiential training programs.
      • -
      • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
      • -
      -

       

      -

      What you’ll do

      -

       

      -

      Join the Engineering team where you’ll be making an impact on some of our most critical assets. You’ll have the opportunity to be hands-on in Bell’s tech transformation, supporting project management and agile methodologies in a construction environment. Engineering also includes important work in network architecture focused on radio communications, network architectures, data analytics, and cloud technologies or design and wireless systems.

      -

       

      -

      What we’re looking for

      -

       

      -

      Within our Engineering function, we have several opportunities available. For more details on each of the below roles, click here.

      -

       

      -
        -
      • Access Network Engineering
      • -
      • Network Architecture and Engineering
      • -
      • Construction Project Management
      • -
      • Technology Specialist (Network)
      • -
      -
      -
      -
      -
      -

      Requirements

      -
      -
        -
      • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in engineering, engineering science/physics, or related fields (if you believe you are up for the challenge with a different degree/diploma, you are welcome to apply).
      • -
      • -You have a desire to expand your knowledge in any of the following fields:
          -
        • Project management and Agile methodologies in a construction environment
        • -
        • Network architecture and design (hardware and software), routing protocols and principles
        • -
        • Broadcast, data centre and/or cloud technologies
        • -
        • Radio communications and/or wireless systems
        • -
        • Project management and Agile methodologies
        • -
        -
      • -
      -
      -
      -
      -

      Leadership skills

      -
      -
        -
      • -You are willing to  challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers. -
      • -
      • -You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together. -
      • -
      • -You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. -
      • -
      • You gain the trust of your teams, being known for demonstrating fairness and respect.
      • -
      • -You promote belonging and are flexible, accountable and collaborative. -
      • -
      • -You are committed to growing your skills and learning from others. -
      • -
      -
      -
      -
      -

      Applying is simple

      -
      -
      -

      Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

      -

       

      -
        -
      1. Review our programs and indicate up to three role choices in your application.
      2. -
      3. Complete your video interview within 48 hours.
      4. -
      5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
      6. -
      7. If selected from previous step, you will be invited to a virtual panel interview.
      8. -
      -

       

      -

      Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

      -

       

      -

      Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

      -
      -
      -

      #EmployeeReferralProgram

       

      Adequate knowledge of French is required for positions in Quebec.

       

      Additional Information:
      Position Type: Management 
      Job Status: Intern 
      Job Location: Canada : Ontario : London || Canada : New Brunswick : Moncton || Canada : Newfoundland : St. John's || Canada : Nova Scotia : Halifax || Canada : Ontario : Barrie || Canada : Ontario : Belleville || Canada : Ontario : Huntsville || Canada : Ontario : Kingston || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Nepean || Canada : Ontario : Ottawa || Canada : Ontario : Peterborough || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto || Canada : Prince Edward Island : Charlottetown || Canada : Quebec : Montreal || Canada : Quebec : Sherbrooke 
      Work Arrangement: Hybrid
      Application Deadline: 11/03/2025

       

      For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

       

      Please apply directly online to be considered for this role.  Applications through email will not be accepted.

       

      We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

       

      We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

       

      We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
       

      Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

       

      #CampusEng24

       

      Created: Canada, ON, Mississauga

       

      Bell, one of Canada's Top 100 Employers.

      ",,https://jobs.bell.ca/ca/en/job/BECACA420078EXTERNALENCA/2025-Internship-Program-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:03.783Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345449111-2025-internship-program-engineering-at-bell-canada,BECACA420078EXTERNALENCA,draft,2024-10-07T21:25:03.776Z,import-xml-feed:Bell-Canada,,,,,,, -ea5a4475-70c5-452e-830c-11ba4243984b,345512490,Google,"Data Specialist I, Professional Services, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-08T08:34:01.704Z,"
      +dd026c23-8804-4e52-997f-bb02a75fbd3a,347102860,Google,"Customer Engineering Manager III, Mid-Market Enterprise, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.280Z,"
      -

      Data Specialist I, Professional Services, Google Cloud

      +

      Customer Engineering Manager III, Mid-Market Enterprise, Google Cloud

      @@ -15678,21 +16670,21 @@ ea5a4475-70c5-452e-830c-11ba4243984b,345512490,Google,"Data Specialist I, Profes
      -corporate_fareGoogleplaceAusiàs March, Spain; Toronto, ON, Canada; +4 more; +3 more
      +corporate_fareGoogleplaceToronto, ON, Canada; Austin, TX, USA; +10 more; +9 more
      -bar_chartMid +bar_chartAdvanced
      -

      Mid

      -
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      +

      Advanced

      +
      Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
      -Apply
      +Apply
      @@ -15715,63 +16707,50 @@ ea5a4475-70c5-452e-830c-11ba4243984b,345512490,Google,"Data Specialist I, Profes
      info_outline
      -XInfo The application window will be open until at least Oct. 3, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Ausiàs March, Spain; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.The application window will be open until at least Oct. 3, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Ausiàs March, Spain; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA. +XInfo This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Austin, TX, USA; Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

      This role may also be located in our Playa Vista, CA campus.

      Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Austin, TX, USA; Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

      Minimum qualifications:

        -
      • Bachelor\'s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
        -
      • -
      • 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive, Airflow) and algorithms (e.g., MapReduce, Flume).
        +
      • Bachelor\'s degree or equivalent practical experience.
      • -
      • 3 years of experience with Google Cloud.
        +
      • 10 years of experience with cloud native architecture in a customer-facing or support role.
      • -
      • Experience managing client-facing projects, troubleshooting technical issues, and working with Development and Sales Services teams.
        +
      • Experience with leadership, such as people management, team lead, mentorship or coaching.
      • -
      • Experience programming in Python, Java, or SQL.
        +
      • Ability to travel up to 50% of the time.

      Preferred qualifications:

        -
      • Experience in technical consulting.
        -
      • -
      • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
        +
      • Experience with software lifecycles, building tools, and architecting and developing software for scalable, distributed systems, including data platform, AI/ML and infrastructure.
      • -
      • Experience working with data lake/platform, including technical architectures, infrastructure components, ETL/ELT, orchestration, data management, and real-time data processing.
        +
      • Experience as a Pre-Sales Manager or a people manager in a technical customer-facing role within a professional services or Sales Engineering team.
      • -
      • Experience working with Big Data, information retrieval, data mining, or machine learning.
        +
      • Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
      • -
      • -
        Ability to collaborate effectively across organizational boundaries and build relationships and influence stakeholders.
        -

        +
      • Experience engaging with, and presenting to, technical stakeholders and executive leaders, including tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that drive business opportunity.

      About the job

      -

      The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

      -

      As a Data Specialist, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform issues.

      -
      In this role, you will collaborate with Google Cloud customers and our team to implement Google Cloud products.
      -
      +

      The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

      +

      As a Customer Engineering (CE) Manager, you will lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      -

      The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

      +

      For United States only:

      +

      The US base salary range for this full-time position is $181,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

      Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

      Responsibilities

        -
      • -Act as a trusted technical advisor to customers and solve complex Big Data issues.
        -
      • -
      • -Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
        -
      • -
      • Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
        -
      • -
      • Travel up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities as needed.
        -
      • -
      • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
        +
      • Lead a team of Customer Managers and build an inclusive growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory.
      • +
      • Foster strong partnerships with key customers across the book of business. Provide leadership related to cloud, transformation and relevant industry trends.
      • +
      • Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team\'s book of business.
      • +
      • Balance technical leadership with operational excellence. Lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners, and prospects.
      • +
      • Work cross-functionally across Google, our partners, and your team to resolve technical roadblocks including capacity needs, constraints and product challenges affecting customer satisfaction.
      @@ -15782,345 +16761,185 @@ ea5a4475-70c5-452e-830c-11ba4243984b,345512490,Google,"Data Specialist I, Profes

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/128942114481283782-data-specialist-i-professional-services-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345512490-data-specialist-i-professional-services-google-cloud-at-google,,draft,2024-10-08T08:34:01.704Z,import-xml-feed:Google-Job-Feed,,,,,,, -30b6e9ef-a204-44fb-a09e-e1ede49f88e7,345515672,Roche,Data Scientist Intern,on_site,"Ontario, Canada",2024-10-08T08:58:01.520Z,"
      -

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      -

      -

      The Position

      -

      As a Data Scientist Intern you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from a great variety of data sources.

      -

      -

      The Opportunity:

      -
        -
      • Build and implement machine learning models, with a primary focus on regression techniques like gradient boosting, random forest, and support vector regression.

      • -
      • Clean, preprocess, and transform data from various sources to ensure data quality and consistency, and perform statistical analysis to validate machine learning models.

      • -
      • Work collaboratively within global agile teams to understand project requirements, contribute to data-driven healthcare solutions, and utilize data visualization tools for effective communication of insights.

      • -
      • Use Python and SQL to query, manipulate, and analyze large datasets, and engage in data preparation, feature engineering, model evaluation, and experiment design to test model performance.

      • -
      • Maintain organized documentation, contribute to research and development of predictive models, and seek opportunities for personal and professional growth while learning from experienced data scientists.

      • -
      -

      -

      Who you are:

      -
        -
      • Currently enrolled in a Master or PhD candidate in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

      • -
      • Strong foundation in machine learning techniques, including gradient boosting and random forests, with expertise in Python for model development. Familiarity with other languages/tools like R is a plus.

      • -
      • Proficient in SQL for querying large datasets, with experience in using platforms like Snowflake, and skilled in data analysis and visualization tools such as Pandas, Numpy, Matplotlib, or Seaborn.

      • -
      • Ability to perform statistical analysis, proven understanding of the statistical methodology behind machine learning models, and capable of providing valuable insights through advanced analytical solutions.

      • -
      • Excellent data storytelling and visualization skills for communicating results to non-technical audiences, with experience in the pharmaceutical, biotech, or healthcare industry preferred.

      • -
      • Good knowledge of regulatory aspects related to machine learning in healthcare, combined with strong analytical and problem-solving skills, a goal-oriented mentality, and proficiency in English.

      • -
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/96699829618385606-customer-engineering-manager-iii-midmarket-enterprise-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.289Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102860-customer-engineering-manager-iii-mid-market-enterprise-google-cloud-at-google,,draft,2024-10-21T08:34:03.280Z,import-xml-feed:Google-Job-Feed,,,,,,, +fc3f8854-f01d-414e-be8d-5a64e13d6673,347468697,Thomson Reuters,Software Engineer - Editorial Tools,on_site,"Ontario, Canada",2024-10-24T08:27:02.243Z,"
      JOB DESCRIPTION
      +

      Reuters, the news and media division of Thomson Reuters, is the world’s largest international multimedia news provider, reaching more than one billion people every day. Over 2,500 journalists in nearly 200 locations around the globe deliver unparalleled international and national news coverage in 16 languages with speed, impartiality and insight to the world’s media organizations and directly to consumers on Reuters.com. Reuters stays true to the letter and spirit of the Thomson Reuters Trust Principles, ensuring independence, integrity and freedom from bias.

      -

      Additional Information:

      -

      Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

      -

      Hours: full-time (35 hours per week)

      -

      Length: This position is a minimum 6-month work term (full-time).

      +

      Software Engineer - Editorial Tools, Reuters Technology: Software Engineer is responsible for creation and support of various editorial tools and services for Reuters technology - from automated data ingestion from internal and external data sources, graphics delivery process to automated content generation and providing processed newsworthy data for other consumers in Reuters technology landscape.

      -

      This position is not eligible for relocation support.

      +

      We are seeking an experienced engineer to help architect and deliver various Editorial Tools and services. You will bring hands-on knowledge in building new services and technologies, and will have experience in deploying those technologies for the benefit of the business. Ability to collaborate and work with a team of talented engineers, data scientists, R&D and subject matter experts will be essential.

      -

      Who we are

      -

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      -

      -

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      -

      -

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      -
      -

      -

      Roche is an Equal Opportunity Employer.

      -
      -
      ",,https://careers.roche.com/global/en/job/202409-123478/Data-Scientist-Intern,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345515672-data-scientist-intern-at-roche,,draft,2024-10-08T08:58:01.520Z,import-xml-feed:Selenium-Scraper,,,,,,, -7726ff73-f2b1-435c-97e7-0331f6ff0225,345788007,Scotiabank,Wealth Management - Strategic Insights & Client Focus Intern,on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.319Z,"

      -

      -

      -

      -

      Requisition ID: 208700

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      Term: January - April 2025

      -

      Application deadline: 10/29/2024

      -

      -

      POSITION DESCRIPTION:

      -

      The successful candidate would support and contribute towards key projects and initiatives within International Wealth Management. They would also experience frequent exposure and visibility to the International Wealth Management teams locally and internationally plus other various business partners within Risk, Products, Compliance, Legal, etc.

      -

      -

      KEY ACCOUNTABILITIES:

      -
      • Providing support in the elaboration of the dashboards to advance Client Insights and Analytics agenda and to inform executive decision making
      • Collaborate with the Data & Analytics projects
      • Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments
      • -
      -

      -

      QUALIFICATIONS:

      -

      The preferred candidate would demonstrate accountability, commitment, and self-initiative. Demonstrate strong interest in the financial markets, macroeconomics, and Wealth Management business. A “can do” attitude in addition to the ability to work in a cross – functional teams with results and customer focus would be the ideal behaviour to be brought to the team.

      -

      The position would be a rewarding introduction to a broad banking view from the head office perspective where analytics and business intelligence play an essential role. Project management, execution and delivery would be required; therefore the following knowledge / skills would be needed:

      -
      • Problem solving and analytical problem-solving
      • Analytical skills: Strong MS Word, Excel, Power Point
      • Proven knowledge of handling both structured/unstructured data in data
      • Experience using and developing dashboards in Power BI
      • Experience building dashboards, writing queries, and using business intelligence tools
      • Knowledge of R, M or DAX is an asset
      • Relationship building
      • Presentation execution
      • Business acumen with moderate to medium banking industry familiarity
      • Ability to optimize dashboard performance to handle large volumes of data
      • Spanish is a strong asset but not required
      • -
      -

      -

      ADDITIONAL REQUIREMENTS:

      -

      Currently enrolled in a Post-Secondary Degree (Master or bachelor’s degree in commerce, Data Analytics, Economics, Engineering preferred).

      -

      -

      WHAT'S IN IT FOR YOU:

      -
      • Challenging Work and a great learning opportunity for a future career in Wealth Management
      • Opportunity to lead and build your network among business leaders
      • A winning, diverse, and down to earth team
      • Develop your financial and business acumen with a strong brand
      • -
      -

      -

      How do I apply?

      -

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      -
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here -
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. -
      -

      -

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategic-Insights-&-Client-Focus-Intern-ON/585373317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:02.334Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345788007-wealth-management-strategic-insights-client-focus-intern-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategic-Insights-&-Client-Focus-Intern-ON/585373317/,draft,2024-10-10T16:31:02.319Z,import-xml-feed:Scotiabank,,,,,,, -caf7360d-6116-4d61-93d4-6bd93fc0b03d,345788010,Scotiabank,"Manager, BI GTB & Business Banking - CID&A",on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.534Z,"

      -

      -

      -

      -

      Requisition ID: 208814

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      -

      -

      The Manager, Business Intelligence, GTB Analytics will be a member of Customer Insights Data and Analytics (CID&A) team reporting to Team Lead, Business Intelligence, GTB Analytics. Incumbent contributes to the overall success of Global Transaction Banking (GTB) by creating and executing its data, business intelligence and analytics strategy for “Global” GTB footprint - North America and Latin America. This includes ownership and oversight for sales, product and operations KPIs, scorecards, reporting, insights, and revenue opportunities. The role is highly technical and requires expert knowledge of data practices, analytical methodologies as well as Microsoft Power BI and Microsoft Power Platform.

      -

      -

      Incumbent possesses strong technical, financial and analytical skills as well as the ability to communicate to a broad audience including Scotiabank executives. The incumbent also possesses leadership skills as well strong knowledge of GTB products, services and operations.
      A successful candidate will be a dynamic and organized self-starter who is comfortable with ambiguity, detail-oriented, and be able to work effectively in a fast-paced environment.

      -


      Is this role right for you? In this role, you will:

      -

      -

      -
      • Own Microsoft Power BI reports which serve as the primary portal and one-stop shop for all GTB business to access self-serve dashboards, insights, leads, product campaigns, product analysis and more
      • Create an impact by providing solid analytics and insights to Sales, Payment Modernization, Correspondent Banking and Deposits teams in order to drive revenue, execute against product campaigns, improve the customer experience and protect the Bank
      • Provide reporting on employee measurement (Sales, Product, etc) where applicable in order to foster a performance-based culture
      • Work closely with salesforce CRM teams to provide enhancement requirements and resolve data issues
      • Support ad hoc analysis requests as required.
      • Develop job aids on the reporting tools, and reports.
      • Manage and create Power BI dataflows and datasets
      • Identify, prioritize, analyze, remediate, and escalate data and reporting issues.
      • Act as a centre of excellence for GTB business, Product as well as Payment analytics, acting their own trusted advisors for everything related to data analytics
      • Ideate and innovate the best-in-class automation and reporting tools to support sales, payments and product teams in portfolio management
      • Work in alignment with the GBM Client Insights and Analytics, GBM Analytics Execution, Small Business Analytics as well as Commercial Banking Analytics and Business Planning teams.
      • Provide strong leadership to direct reports to motivate both individual and team performance and foster a commitment to Scotiabank’s Values and our Customers
      • -
      -

      -

      Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

      -

      -
      • Undergraduate degree in quantitative discipline (e.g. engineering, technology finance, mathematics, statistics etc.) or University degree in Business
      • Solid knowledge of Microsoft Power BI and Microsoft Power Platform
      • Experience with Salesforce CRM and SQL
      • Experience with Google Cloud – BigQuery, Looker (Nice-to-have)
      • Strong analytical skills to identify and evaluate unusual numbers and trends.
      • Excellent communication skills to convey messages, both verbal and written, in a clear and concise manner.
      • Ability to highlight and communicate key insights from data and translate highly complex issues and business requirements for non-technical audiences.
      • -
      -

      -

      What's in it for you?

      -

      -
      • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
      • A rewarding career path with diverse opportunities for professional development
      • Internal training to support your growth and enhance your skills.
      • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
      • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
      • Hybrid Work Environment
      • -
      -

      -

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-BI-GTB-&-Business-Banking-CID&A-ON-M5H1H1/585416817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345788010-manager-bi-gtb-business-banking-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-BI-GTB-&-Business-Banking-CID&A-ON-M5H1H1/585416817/,draft,2024-10-10T16:31:02.534Z,import-xml-feed:Scotiabank,,,,,,, -df659255-dc8c-4a62-870e-9190572975fd,345423528,KPMG,"Senior Manager, Microsoft - Dynamics F&O Technical Consultant",on_site,"Toronto, Canada Calgary, Canada Vancouver, Canada",2024-10-07T16:35:02.770Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

      Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.


      What you will do

        -
      • Lead the technical design and architecture of D365 F&O, ensuring that they meet the client’s technical and business requirements
      • -
      • Collaborate with the functional consultants to understand the client’s business requirements and translate them into technical solutions
      • -
      • Develop and maintain technical design documents, including architecture diagrams, data models and perform code reviews
      • -
      • Develop and maintain code, including customizations, data integrations and extensions
      • -
      • Lead technical workshops with the client to ensure that technical requirements are understood and met
      • -
      • Ensure the architecture solution meets the client’s security and compliance requirements
      • -
      • Lead the technical implementation of the solution, including data migrations and system integration
      • -
      • Mentor junior technical consultants and help drive the growth of the practice
      • -

      What you bring to the role

        -
      • -
      • Minimum of 6+ years of experience as a Microsoft Dynamics D365 F&O implementation Technical Architect
      • -
      • Strong knowledge of D365 F&O and the underlying technology stack
      • -
      • Experience with the development of customizations, data integrations and extensions in D365 F&O
      • -
      • Experience with the development of technical design documents, including architecture diagrams and data models
      • -
      • Minimum of three full life cycle implementations with Microsoft Dynamics D365 F&O as a Technical Architect with a solid knowledge in DevOps and Azure platform understanding
      • -
      • Excellent foundational consulting skills, including analytical knowhow, written and verbal communication, and team participation
      • -
      • Superior communication skills, both written and verbal in English and French (Optional), with the ability to interact confidently with all levels of management
      • -
      • Bachelor's degree in an appropriate field from an accredited college/university
      • -
      • Understanding of Finance & Operations architecture and best practices with solid knowledge of recommended ISV's and how to include them in project implementations
      • -
      • Willingness to travel as required to meet client needs
      • -
      • Ability to work independently as well as in a team environme
      • -

      KPMG BC Region Pay Range Information

      The expected base salary range for this position is $112,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/24795?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423528-senior-manager-microsoft-dynamics-f-o-technical-consultant-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24795?lang=en-us,draft,2024-10-07T16:35:02.770Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -43cef508-c9eb-403c-adae-8c939350e518,345788100,Deloitte,Senior Data Scientist,on_site,"Ontario, Canada",2024-10-10T16:36:03.428Z,"

      Job Type: Permanent
      Work Model:
      Hybrid
      Reference code:
      126899
      Primary Location:
      Toronto, ON
      All Available Locations:
      Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

      -
      -

      -

      Our Purpose

      -

      -

      At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

      -

      By living our Purpose, we will make an impact that matters.

      -
      • Learn from deep subject matter experts through mentoring and on the job coaching
      • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
      • Be encouraged to deepen your technical skills…whatever those may be.
      • Build your leadership skills at Deloitte University.
      • Have many careers in one Firm.
      • Partner with clients to solve their most complex problems
      • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
      • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
      • Experience a firm where wellness matters.
      • Experience MyFlex and an agile work environment where work is what you do not where you do it
      • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
      • Build a network of colleagues for life
      • Have an impact that matters through pro bono and significant volunteer opportunities.
      • Be empowered to lead and have impact with clients, our communities and in the office.
      • Be expected to share your ideas and to make them a reality.
      • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
      • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
      • -
      -
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      -

      --

      -
      -
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      What will your typical day look like?

      -

      As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for model development, statistical and mathematical computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

      -
      -
      -

      About the team

      -

      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

      -
      -
      -

      Enough about us, let’s talk about you

      -
      -

      You are someone with:

      -
      • Data analysis and programming experience using Python
      • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
      • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
      • Strong experience with statistical analytical techniques, data mining, and predictive models is required
      • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
      • Experience with optimization modelling and/or natural language processing and/or social media analytics is an asset
      • Strong experience with Machine Learning Project management experience is an asset
      • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
      • Enthusiastic about solving complex problems with a variety of analytical tools
      • Professional services, consulting, or advisory experience is an asset
      • Strong oral and written communication skills
      • Interest in continuing to develop analytical and business development skills
      • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, Mathematical Physics or related field is required.
      • Advanced degree (MA/MSc, equivalent or higher) is preferred.
      • -
      -
      -
      -
      -

      Total Rewards

      -


      The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

      Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

      -
      -
      -

      -

      Our promise to our people: Deloitte is where potential comes to life.

      -

      -

      Be yourself, and more.

      -

      We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

      -

      You shape how we make impact.

      -

      Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

      -

      Be the leader you want to be

      -

      Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

      -

      Have as many careers as you want.

      -

      We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

      The next step is yours

      -

      -

      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

      -

      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

      -

      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Data-Scientist-ON/1199638100/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T16:36:03.440Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788100-senior-data-scientist-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Data-Scientist-ON/1199638100/,draft,2024-10-10T16:36:03.428Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, -df4b3074-2e7f-4a50-9436-84fb948381aa,345759469,Google,"Software Developer III, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-10T08:34:03.257Z,"
      -
      -

      Software Developer III, Infrastructure, Google Cloud Platforms

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      -corporate_fareGoogleplaceWaterloo, ON, Canada
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      Mid

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      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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      -Apply
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      Minimum qualifications:

      +

      About the Role

      +

      In this opportunity as Software Engineer, you will:

        -
      • Bachelor’s degree or equivalent practical experience.
      • -
      • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
      • -
      • 2 years of experience with data structures or algorithms in either an academic or industry setting.
      • -
      • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
        -
      • +
      • Be a team player, focusing on results, collaboration and winning as a team
      • +
      • Be part of a team that consistently delivers and delights its customers
      • +
      • Be a quick learner. You are able to put in practice what you already know, and you are able to self-learn
      • +
      • Be an ""agile"" person. You can work with different SDLC methodologies – Agile, waterfall and hybrid approaches
      • +
      • Desire a fast-paced, dynamic environment. You can operate with ambiguous requirements and changing priorities, all while having a strong sense of ownership of the solutions that you deliver
      • +
      • Mentor and help your team realize their full potential
      -

      Preferred qualifications:

      +

      +

      About You

      +

      You\'re a fit for the role of Software Engineer if your background includes:

        -
      • Master\'s degree or PhD in Computer Science or related technical fields.
      • -
      • 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
      • -
      • Experience developing accessible technologies.
      • -
      • Proficiency in code and system health, diagnosis and resolution, and software test developing.
        -
      • +
      • Minimum Bachelor Degree in Computer Science and Engineering or equivalent
      • +
      • 3-5 yrs in Software Development
      • +
      • Hands on experience in development and testing of Cloud native systems (AWS), and AWS technology stack including AWS Lambda, S3, DynamoDB/Redshift
      • +
      • NodeJS/Typescript/ReactJS
      • +
      • Experience partnering with internal business owners
      • +
      • Excellent communication skills
      • +
      • Ability and passion to learn new technologies quickly
      • +
      • Experience in service-oriented architecture, and distributed scalable systems
      • +
      • Experience working with global teams
      • +
      • Team player and self-starter
      -
      -
      -

      About the job

      -

      Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

      -

      Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

      -

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      -
      -
      -

      Responsibilities

      +

      +

      Desired:

        -
      • Write product or system development code.
      • -
      • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
      • -
      • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
      • -
      • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
      • -
      • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
      • +
      • Experience with both front end and back end development
      • +
      • Experience with relational databases
      • +
      • DevOps Experience in AWS, Git, Maven, Docker, Shell scripting a big plus
      -
      -
      -

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      -

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      -

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      -

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      -

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      -
      ",,https://www.google.com/about/careers/applications/jobs/results/122807212723577542-software-developer-iii-infrastructure-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-14T08:39:02.816Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759469-software-developer-iii-infrastructure-google-cloud-platforms-at-google,,draft,2024-10-10T08:34:03.257Z,import-xml-feed:Google-Job-Feed,,,,,,, -1ebb1216-d5df-4c21-b271-a4ffd65b5bc3,345762485,OMERS,"Analyst, Real Estate Finance & Capital Markets",on_site,"Ontario, Canada",2024-10-10T08:58:03.509Z,"
      -

      Choose a workplace that empowers your impact.

      -

      Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

      -

      We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

      +

      #LI-CH1

      -

      Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

      -

      Don’t just work anywhere — come build tomorrow together with us.

      +

      What\'s in it For You?
      You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

      +
        +
      • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

      • +
      • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

      • +
      • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

      • +
      • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

      • +
      • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

      • +
      • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

      • +

      -

      Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

      -

      We are seeking candidates for the Analyst, Real Estate Finance & Capital Markets (“REF”) role in Toronto. In this role you will have the opportunity to assist in underwriting, developing, and executing financing transactions for Oxford’s North American business. The current North American debt portfolio totals approximately $15 billion and continues to grow as Oxford expands its portfolio.

      +

      +

      +


      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

      +

      +

      We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

      +

      +

      Accessibility

      +

      +

      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

      +

      +

      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

      +

      +

      +

      Protect yourself from fraudulent job postings click here to know more.

      +

      +

      More information about Thomson Reuters can be found on https://thomsonreuters.com.

      +
      ",,https://careers.thomsonreuters.com/us/en/job/JREQ183138/Software-Engineer-Editorial-Tools?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-23T08:27:02.257Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468697-software-engineer-editorial-tools-at-thomson-reuters,,draft,2024-10-24T08:27:02.243Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, +fcc9196a-0d18-42ae-93bc-9166848d6cd1,347468592,Loblaw Companies Ltd,"Risk Analyst, Scoring",on_site,"Ontario, Canada",2024-10-24T08:19:01.736Z,"
      +

      Referred applicants should not apply directly to this role.

      +

      All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

      +

      +

      +

      Location:

      500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

      +

      When you hire great people, great things can happen.

      +

      PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

      +

      +

      Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

      +

      +

      Why This Role is Important:

      +

      Reporting directly to the Manager, Scoring & Analytics, this individual will play a supporting role in assisting with the development of the bank’s strategy to improve its Credit Scoring capabilities. This role will support the Manager by providing effective credit risk analysis to aid in the development and implementation of credit risk and fraud strategies, scorecards, monitoring and guidance at a tactical level. The individual will bring strong statistical knowledge with a consistent track record of working with other business partners from across the organization to drive analytically based strategies.

      -

      As a member of this team, you will be responsible for:

      +

      What You\'ll Do:

        -
      • Working alongside members of the REF team, Investment teams, Asset Management and/or Development teams to assist in developing underwriting assumptions, asset level or portfolio level financing metrics/analysis for new and existing deployment strategies;
      • -
      • Assisting REF Portfolio managers in financing strategy development & execution;
      • -
      • Creating marketing materials to be used to source debt capital from lenders;
      • -
      • Drafting financing approval items and memos
      • -
      • Assisting in review of financing documents by key internal partners including term sheets, commitment letters, loan documents, and hedging documents;
      • -
      • Assist in drafting presentations and memos for Investment Committee and executive submissions;
      • -
      • Assisting with financing strategies and financing executions in North America and in other regions as needed.
      • +
      • Use Python/SQL to extract, manipulate and analyze raw data in order to provide valuable and timely analysis to assist in optimizing risk mitigation objectives
      • +
      • Develop and manage data pulls for ad-hoc projects that drive strategy changes and/or business recommendations
      • +
      • Aid the Manager and/or Director with the development of scoring models for use across the credit lifecycle
      • +
      • Implement standard and ad-hoc reporting and summarized presentations as needed for regularly scheduled update forums
      • +
      • Develop and complete regular queries from the data warehouse for use in reports
      • +
      • Support the Manager and/or Director with the management and design of scoring strategies with an emphasis on mitigating risk exposure
      • +
      • Liaise with partners (internal and external) to acquire requirements and/or support for risk sponsored initiatives
      • +
      • Apply data mining skills to perform pre-program and post-program analysis for various scoring related initiatives
      • +
      • Assist with the monitoring of current credit scores identifying and actioning opportunities for improvement
      • +
      • Support with the operational implementation of new or adjusted credit scores

      -

      Portfolio Management

      +

      What You Bring:

        -
      • Build financial models and material to perform ongoing assessments of the portfolio, maturity profile, cost of debt, fixed/floating ratios, market value of debt, etc;
      • -
      • Work with asset management, legal, accounting, reporting and compliance teams to evaluate and manage compliance risk in the portfolio by evaluating current and proforma debt metrics and lender covenants;
      • -
      • Work with the broader REF teams and asset management teams to ensure that REF portfolio managers have the reporting and information required to evaluate financing risk of their portfolios;
      • -
      • Work with broader REF team on loan onboarding, lender compliance management, debt reporting, and debt assumptions related to quarterly/annual budgeting and forecasting cycles.
      • +
      • 1 - 2 years of experience in a data analysis / data mining role
      • +
      • Demonstrated experience with Python, Tableau/Power BI and Microsoft Office suite of products, experience with Google Cloud Platform (GCP) is beneficial
      • +
      • Previous experience within the financial services industry is required with experience in the credit card / consumer lending field preferred
      • +
      • Verified understanding of the model development process
      • +
      • Demonstrated understanding of credit scores, and their use in business strategies, post implementation use, and monitoring is beneficial
      • +
      • Post-Secondary Degree in a quantitative field (Economics, Statistics, Mathematics, Business Administration, Computer Science, Ops Research)
      • +
      • Ability to communicate analytic recommendations to both technical and non-technical team members, either verbally or via documentation
      • +
      • Strong project management skills and ability to work within timelines
      • +
      • Proven analytical and conceptual problem solver who can adapt to a constantly evolving environment
      • +
      • Demonstrated ability in working within a team and collaborating with multiple partners to understand issues and solve problems
      • +
      • Demonstrated willingness to take initiative, work independently in a dynamic environment, and effectively manage multiple projects and priorities simultaneously

      -

      Stakeholder Management

      +

      +

      Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

      +

      +

      +

      Number of Openings:

      1

      +

      PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

      +

      +

      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

      +

      +

      +

      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

      +

      +

      +

      +

      +

      +

      +
      ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Risk-Analyst--Scoring_R2000514140?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-11-23T08:19:01.752Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468592-risk-analyst-scoring-at-loblaw-companies-ltd,,draft,2024-10-24T08:19:01.736Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +8b4a0ee8-c494-4061-8f49-e66305539db0,344117013,Vector Institute,Data Integration Specialist,on_site,"Ontario, Canada",2024-09-29T08:47:02.239Z,"

      DATA INTEGRATION SPECIALIST

      +

      +

      POSITION SUMMARY

      +

      Reporting to the Systems Operations Manager, the Data Integration Specialist is responsible for designing and implementing data integrations and optimizations across various business systems, automating workflows, and establishing a data warehouse and business analytics environment. This role collaborates closely with the Business Analyst, project managers and business users to identify and define integration requirements. The Data Integration Specialist will partner with the Technology team to develop the organization’s data architecture, reporting, and analytics environment, while selecting and implementing data management tools and platforms. This position plays a key role in supporting our user community and shaping Vector’s system’s strategy and business analytics environment.

      +


      +

      KEY RESPONSIBILITIES

        -
      • Build relationships with key internal Oxford/OMERS partners to ensure strong, open lines of communication exist;
      • -
      • Assist in maintaining financing pipelines to ensure stakeholders are aware of the financing activity for their portfolios;
      • -
      • Partner with broader REF team to ensure adequate internal controls, policies and debt processes are in place to effectively manage Oxfords global debt portfolio;
      • -
      • Participating in OMERS/Oxford lender relationship meetings and material preparation;
      • +
      • Works with various business units to identify, map, document and implement optimization solutions.
      • +
      • Define and develop data integration processes between core business systems.
      • +
      • Recommend, create and optimize automated workflows using a combination of application specific tools and 3rd party integration tools that you will help select.
      • +
      • Apply basic coding and ETL scripting concepts and languages to develop and maintain data integration processes.
      • +
      • Design and implement a data warehouse to effectively store and manage the organization’s data.
      • +
      • Develop data extraction processes to pull data from the organization\'s business systems to its data warehouse.
      • +
      • Establish a business analytics environment to facilitate data-driven decision-making across the organization.
      • +
      • Identify and address data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability.
      • +
      • Support and enforce data privacy and security protocols by analyzing underlying causes of problems and ensuring system and data integrity.
      • +
      • Coordinate with other technical staff to develop databases as required.
      • +
      • Recommend, develop, and implement process tools to ensure quality, integrity and security of data.
      • +
      • Evaluate and select appropriate systems, tools, and services to build and maintain the organization\'s data management processes and environment.
      -

      -

      To succeed in this role, you have:

      +


      +

      KEY SUCCESS MEASURES

        -
      • University degree in finance, business, commerce or accounting;
      • -
      • CPA or CFA designation preferred or in progress;
      • -
      • 1 - 3 years of experience in a large organization working with commercial real estate borrowing or lending;
      • -
      • Superior Excel and financial modelling skills (complex formulas, advanced functions, tables/pivot tables);
      • -
      • Takes initiative, is detailed-oriented, accountable, and well-organized, and finds innovative and efficient methods of completing tasks in a fast-paced and dynamic environment;
      • -
      • Highly developed strategic thinking, problem solving and analytical skills;
      • -
      • Solid two-way communication skills, both verbal and written;
      • -
      • Strong relationship management skills.
      • +
      • Workflows and processes across Vector are automated and optimized as is appropriate.
      • +
      • Effective selection and use of data integration methods including ETL (Extract, Transform, Load), data warehousing, and API integration.
      • +
      • Ensure data consistency, accuracy, currency and flow.
      • +
      • +Foster active communication and engagement with internal and external stakeholders to ensure alignment on data integration initiatives.


        +
      -

      -

      -

      Oxford\'s purpose is to strengthen economies and communities through real estate.

      -

      Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

      -

      -

      From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

      -
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst--Real-Estate-Finance---Capital-Markets_JR-6610?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-09T08:58:03.510Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345762485-analyst-real-estate-finance-capital-markets-at-omers,,draft,2024-10-10T08:58:03.509Z,import-xml-feed:Selenium-Scraper,,,,,,, +

      PROFILE OF THE IDEAL CANDIDATE

      +
        +
      • A degree or diploma in computer science or engineering, or equivalent knowledge obtained through work experience.
      • +
      • A minimum of 3 years professional experience implementing data integrations and developing workflow automations in a similar or related role.
      • +
      • Proficient technical knowledge of current database software, protocols, and standards.
      • +
      • Understanding APIs, Web Services, and Microservices: this technical expertise allows for the creation of connectors and adapters necessary for integrating disparate systems.
      • +
      • Skills in relevant scripting and programming language to enable the customization and automation of integration processes.
      • +
      • Proven communication skills, problem-solving skills, and knowledge of integration best practices.
      • +
      • Salesforce experience is highly advantageous.
      • +
      • Familiarity with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
      • +
      • Experience with a range of integration and data management tools and platforms.
      • +
      +


      +

      At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

      +

      If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

      ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=506678&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-21T08:51:39.175Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344117013-data-integration-specialist-at-vector-institute,,draft,2024-09-29T08:47:02.239Z,import-xml-feed:Vector-Institute-Job,,,,,,, ac4e737f-9586-45fa-b58e-319cc5997243,343661452,Google,"Cloud Developer Associate, Platform and Infrastructure, Professional Services",on_site,"Toronto, ON, Canada",2024-09-26T08:34:02.460Z,"

      Cloud Developer Associate, Platform and Infrastructure, Professional Services

      @@ -17908,90 +18727,470 @@ a715dc70-c1a4-49b2-a96c-56772e13db10,343703220,Scotiabank,Velocity - Project/Pro

      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AnalystSenior-Associate%2C-Computer-Forensics-ON/1202453900/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-21T16:43:03.465Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343707991-analyst-senior-associate-computer-forensics-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AnalystSenior-Associate%2C-Computer-Forensics-ON/1202453900/,draft,2024-09-26T16:35:04.697Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, -6b1b33f3-0687-45cc-abb1-ed3003186425,344243746,Roche,Medical Affairs Partner,on_site,"Ontario, Canada",2024-09-30T08:58:02.523Z,"
      +df659255-dc8c-4a62-870e-9190572975fd,345423528,KPMG,"Senior Manager, Microsoft - Dynamics F&O Technical Consultant",on_site,"Toronto, Canada Calgary, Canada Vancouver, Canada",2024-10-07T16:35:02.770Z,"Overview

      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

      Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

      Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.


      What you will do

        +
      • Lead the technical design and architecture of D365 F&O, ensuring that they meet the client’s technical and business requirements
      • +
      • Collaborate with the functional consultants to understand the client’s business requirements and translate them into technical solutions
      • +
      • Develop and maintain technical design documents, including architecture diagrams, data models and perform code reviews
      • +
      • Develop and maintain code, including customizations, data integrations and extensions
      • +
      • Lead technical workshops with the client to ensure that technical requirements are understood and met
      • +
      • Ensure the architecture solution meets the client’s security and compliance requirements
      • +
      • Lead the technical implementation of the solution, including data migrations and system integration
      • +
      • Mentor junior technical consultants and help drive the growth of the practice
      • +

      What you bring to the role

        +
      • +
      • Minimum of 6+ years of experience as a Microsoft Dynamics D365 F&O implementation Technical Architect
      • +
      • Strong knowledge of D365 F&O and the underlying technology stack
      • +
      • Experience with the development of customizations, data integrations and extensions in D365 F&O
      • +
      • Experience with the development of technical design documents, including architecture diagrams and data models
      • +
      • Minimum of three full life cycle implementations with Microsoft Dynamics D365 F&O as a Technical Architect with a solid knowledge in DevOps and Azure platform understanding
      • +
      • Excellent foundational consulting skills, including analytical knowhow, written and verbal communication, and team participation
      • +
      • Superior communication skills, both written and verbal in English and French (Optional), with the ability to interact confidently with all levels of management
      • +
      • Bachelor's degree in an appropriate field from an accredited college/university
      • +
      • Understanding of Finance & Operations architecture and best practices with solid knowledge of recommended ISV's and how to include them in project implementations
      • +
      • Willingness to travel as required to meet client needs
      • +
      • Ability to work independently as well as in a team environme
      • +

      KPMG BC Region Pay Range Information

      The expected base salary range for this position is $112,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

      Providing you with the support you need to be at your best

      For more information about KPMG in Canada’s Benefits and well-being, click here.


      Our Values, The KPMG Way

      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

      Adjustments and accommodations throughout the recruitment process

      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

      For information about accessible employment at KPMG, please visit our accessibility page.

      ",,https://careers.kpmg.ca/professionals/jobs/24795?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423528-senior-manager-microsoft-dynamics-f-o-technical-consultant-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24795?lang=en-us,draft,2024-10-07T16:35:02.770Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +43cef508-c9eb-403c-adae-8c939350e518,345788100,Deloitte,Senior Data Scientist,on_site,"Ontario, Canada",2024-10-10T16:36:03.428Z,"

      Job Type: Permanent
      Work Model:
      Hybrid
      Reference code:
      126899
      Primary Location:
      Toronto, ON
      All Available Locations:
      Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

      +
      +

      +

      Our Purpose

      +

      +

      At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

      +

      By living our Purpose, we will make an impact that matters.

      +
      • Learn from deep subject matter experts through mentoring and on the job coaching
      • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
      • Be encouraged to deepen your technical skills…whatever those may be.
      • Build your leadership skills at Deloitte University.
      • Have many careers in one Firm.
      • Partner with clients to solve their most complex problems
      • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
      • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
      • Experience a firm where wellness matters.
      • Experience MyFlex and an agile work environment where work is what you do not where you do it
      • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
      • Build a network of colleagues for life
      • Have an impact that matters through pro bono and significant volunteer opportunities.
      • Be empowered to lead and have impact with clients, our communities and in the office.
      • Be expected to share your ideas and to make them a reality.
      • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
      • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
      • +
      +
      +
      +
      +

      --

      +
      +
      +
      +

      What will your typical day look like?

      +

      As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for model development, statistical and mathematical computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

      +
      +
      +

      About the team

      +

      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

      +
      +
      +

      Enough about us, let’s talk about you

      +
      +

      You are someone with:

      +
      • Data analysis and programming experience using Python
      • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
      • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
      • Strong experience with statistical analytical techniques, data mining, and predictive models is required
      • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
      • Experience with optimization modelling and/or natural language processing and/or social media analytics is an asset
      • Strong experience with Machine Learning Project management experience is an asset
      • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
      • Enthusiastic about solving complex problems with a variety of analytical tools
      • Professional services, consulting, or advisory experience is an asset
      • Strong oral and written communication skills
      • Interest in continuing to develop analytical and business development skills
      • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, Mathematical Physics or related field is required.
      • Advanced degree (MA/MSc, equivalent or higher) is preferred.
      • +
      +
      +
      +
      +

      Total Rewards

      +


      The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

      Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

      +
      +
      +

      +

      Our promise to our people: Deloitte is where potential comes to life.

      +

      +

      Be yourself, and more.

      +

      We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

      +

      You shape how we make impact.

      +

      Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

      +

      Be the leader you want to be

      +

      Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

      +

      Have as many careers as you want.

      +

      We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

      The next step is yours

      +

      +

      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

      +

      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

      +

      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Data-Scientist-ON/1199638100/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T16:36:03.440Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788100-senior-data-scientist-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Data-Scientist-ON/1199638100/,draft,2024-10-10T16:36:03.428Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, +7726ff73-f2b1-435c-97e7-0331f6ff0225,345788007,Scotiabank,Wealth Management - Strategic Insights & Client Focus Intern,on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.319Z,"

      +

      +

      +

      +

      Requisition ID: 208700

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: January - April 2025

      +

      Application deadline: 10/29/2024

      +

      +

      POSITION DESCRIPTION:

      +

      The successful candidate would support and contribute towards key projects and initiatives within International Wealth Management. They would also experience frequent exposure and visibility to the International Wealth Management teams locally and internationally plus other various business partners within Risk, Products, Compliance, Legal, etc.

      +

      +

      KEY ACCOUNTABILITIES:

      +
      • Providing support in the elaboration of the dashboards to advance Client Insights and Analytics agenda and to inform executive decision making
      • Collaborate with the Data & Analytics projects
      • Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments
      • +
      +

      +

      QUALIFICATIONS:

      +

      The preferred candidate would demonstrate accountability, commitment, and self-initiative. Demonstrate strong interest in the financial markets, macroeconomics, and Wealth Management business. A “can do” attitude in addition to the ability to work in a cross – functional teams with results and customer focus would be the ideal behaviour to be brought to the team.

      +

      The position would be a rewarding introduction to a broad banking view from the head office perspective where analytics and business intelligence play an essential role. Project management, execution and delivery would be required; therefore the following knowledge / skills would be needed:

      +
      • Problem solving and analytical problem-solving
      • Analytical skills: Strong MS Word, Excel, Power Point
      • Proven knowledge of handling both structured/unstructured data in data
      • Experience using and developing dashboards in Power BI
      • Experience building dashboards, writing queries, and using business intelligence tools
      • Knowledge of R, M or DAX is an asset
      • Relationship building
      • Presentation execution
      • Business acumen with moderate to medium banking industry familiarity
      • Ability to optimize dashboard performance to handle large volumes of data
      • Spanish is a strong asset but not required
      • +
      +

      +

      ADDITIONAL REQUIREMENTS:

      +

      Currently enrolled in a Post-Secondary Degree (Master or bachelor’s degree in commerce, Data Analytics, Economics, Engineering preferred).

      +

      +

      WHAT'S IN IT FOR YOU:

      +
      • Challenging Work and a great learning opportunity for a future career in Wealth Management
      • Opportunity to lead and build your network among business leaders
      • A winning, diverse, and down to earth team
      • Develop your financial and business acumen with a strong brand
      • +
      +

      +

      How do I apply?

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here +
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. +
      +

      +

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategic-Insights-&-Client-Focus-Intern-ON/585373317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:02.334Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345788007-wealth-management-strategic-insights-client-focus-intern-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategic-Insights-&-Client-Focus-Intern-ON/585373317/,draft,2024-10-10T16:31:02.319Z,import-xml-feed:Scotiabank,,,,,,, +caf7360d-6116-4d61-93d4-6bd93fc0b03d,345788010,Scotiabank,"Manager, BI GTB & Business Banking - CID&A",on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.534Z,"

      +

      +

      +

      +

      Requisition ID: 208814

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      The Manager, Business Intelligence, GTB Analytics will be a member of Customer Insights Data and Analytics (CID&A) team reporting to Team Lead, Business Intelligence, GTB Analytics. Incumbent contributes to the overall success of Global Transaction Banking (GTB) by creating and executing its data, business intelligence and analytics strategy for “Global” GTB footprint - North America and Latin America. This includes ownership and oversight for sales, product and operations KPIs, scorecards, reporting, insights, and revenue opportunities. The role is highly technical and requires expert knowledge of data practices, analytical methodologies as well as Microsoft Power BI and Microsoft Power Platform.

      +

      +

      Incumbent possesses strong technical, financial and analytical skills as well as the ability to communicate to a broad audience including Scotiabank executives. The incumbent also possesses leadership skills as well strong knowledge of GTB products, services and operations.
      A successful candidate will be a dynamic and organized self-starter who is comfortable with ambiguity, detail-oriented, and be able to work effectively in a fast-paced environment.

      +


      Is this role right for you? In this role, you will:

      +

      +

      +
      • Own Microsoft Power BI reports which serve as the primary portal and one-stop shop for all GTB business to access self-serve dashboards, insights, leads, product campaigns, product analysis and more
      • Create an impact by providing solid analytics and insights to Sales, Payment Modernization, Correspondent Banking and Deposits teams in order to drive revenue, execute against product campaigns, improve the customer experience and protect the Bank
      • Provide reporting on employee measurement (Sales, Product, etc) where applicable in order to foster a performance-based culture
      • Work closely with salesforce CRM teams to provide enhancement requirements and resolve data issues
      • Support ad hoc analysis requests as required.
      • Develop job aids on the reporting tools, and reports.
      • Manage and create Power BI dataflows and datasets
      • Identify, prioritize, analyze, remediate, and escalate data and reporting issues.
      • Act as a centre of excellence for GTB business, Product as well as Payment analytics, acting their own trusted advisors for everything related to data analytics
      • Ideate and innovate the best-in-class automation and reporting tools to support sales, payments and product teams in portfolio management
      • Work in alignment with the GBM Client Insights and Analytics, GBM Analytics Execution, Small Business Analytics as well as Commercial Banking Analytics and Business Planning teams.
      • Provide strong leadership to direct reports to motivate both individual and team performance and foster a commitment to Scotiabank’s Values and our Customers
      • +
      +

      +

      Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

      +

      +
      • Undergraduate degree in quantitative discipline (e.g. engineering, technology finance, mathematics, statistics etc.) or University degree in Business
      • Solid knowledge of Microsoft Power BI and Microsoft Power Platform
      • Experience with Salesforce CRM and SQL
      • Experience with Google Cloud – BigQuery, Looker (Nice-to-have)
      • Strong analytical skills to identify and evaluate unusual numbers and trends.
      • Excellent communication skills to convey messages, both verbal and written, in a clear and concise manner.
      • Ability to highlight and communicate key insights from data and translate highly complex issues and business requirements for non-technical audiences.
      • +
      +

      +

      What's in it for you?

      +

      +
      • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
      • A rewarding career path with diverse opportunities for professional development
      • Internal training to support your growth and enhance your skills.
      • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
      • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
      • Hybrid Work Environment
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-BI-GTB-&-Business-Banking-CID&A-ON-M5H1H1/585416817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345788010-manager-bi-gtb-business-banking-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-BI-GTB-&-Business-Banking-CID&A-ON-M5H1H1/585416817/,draft,2024-10-10T16:31:02.534Z,import-xml-feed:Scotiabank,,,,,,, +ea5a4475-70c5-452e-830c-11ba4243984b,345512490,Google,"Data Specialist I, Professional Services, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-08T08:34:01.704Z,"
      +
      +

      Data Specialist I, Professional Services, Google Cloud

      +
      +
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      +
      +share +
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      • +linkCopy link +
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      • +emailEmail a friend +
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      +corporate_fareGoogleplaceAusiàs March, Spain; Toronto, ON, Canada; +4 more; +3 more
      +
      +
      +
      +bar_chartMid +
      +
      +

      Mid

      +
      Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
      +
      +
      +
      +
      +
      +Apply
      +
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      +share +
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      • +linkCopy link +
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      • +emailEmail a friend +
      • +
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      +
      +
      info_outline
      +XInfo The application window will be open until at least Oct. 3, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Ausiàs March, Spain; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.The application window will be open until at least Oct. 3, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Ausiàs March, Spain; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA. +
      + +
      +

      Minimum qualifications:

      +
        +
      • Bachelor\'s degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
        +
      • +
      • 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive, Airflow) and algorithms (e.g., MapReduce, Flume).
        +
      • +
      • 3 years of experience with Google Cloud.
        +
      • +
      • Experience managing client-facing projects, troubleshooting technical issues, and working with Development and Sales Services teams.
        +
      • +
      • Experience programming in Python, Java, or SQL.
        +
      • +
      +

      Preferred qualifications:

      +
        +
      • Experience in technical consulting.
        +
      • +
      • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
        +
      • +
      • Experience working with data lake/platform, including technical architectures, infrastructure components, ETL/ELT, orchestration, data management, and real-time data processing.
        +
      • +
      • Experience working with Big Data, information retrieval, data mining, or machine learning.
        +
      • +
      • +
        Ability to collaborate effectively across organizational boundaries and build relationships and influence stakeholders.
        +

        +
      • +
      +
      +
      +

      About the job

      +

      The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

      +

      As a Data Specialist, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform issues.

      +
      In this role, you will collaborate with Google Cloud customers and our team to implement Google Cloud products.
      +
      +

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      +

      The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

      +

      Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

      +
      +
      +

      Responsibilities

      +
        +
      • +Act as a trusted technical advisor to customers and solve complex Big Data issues.
        +
      • +
      • +Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
        +
      • +
      • Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
        +
      • +
      • Travel up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities as needed.
        +
      • +
      • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
        +
      • +
      +
      +
      +

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      +

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      +

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      +

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/128942114481283782-data-specialist-i-professional-services-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345512490-data-specialist-i-professional-services-google-cloud-at-google,,draft,2024-10-08T08:34:01.704Z,import-xml-feed:Google-Job-Feed,,,,,,, +30b6e9ef-a204-44fb-a09e-e1ede49f88e7,345515672,Roche,Data Scientist Intern,on_site,"Ontario, Canada",2024-10-08T08:58:01.520Z,"

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      The Position

      -

      Un avenir plus sain. C\'est ce qui nous pousse à innover. À faire progresser continuellement la science et à garantir à tous l\'accès aux soins de santé dont ils ont besoin aujourd\'hui et pour les générations à venir. Créer un monde où nous avons tous plus de temps avec les personnes que nous aimons. C\'est ce qui fait de nous Roche.

      -

      -

      Nous recherchons des personnes qui apportent des expériences diverses pour nous aider à développer nos capacités chez Roche et faire une différence collective pour les patients. Notre système de santé externe devient de plus en plus complexe, et nous visons à aller au-delà de nos médicaments pour relever les défis auxquels les patients et les aidants sont confrontés au quotidien. En tant que partenaire des affaires médicales, vous jouerez un rôle essentiel en exploitant votre expertise scientifique pour intégrer ces solutions dans le système de santé, tant pour les besoins présents que futurs.

      -

      -

      L\'opportunité :

      -
        -
      • Développer et appliquer une expertise scientifique pour faire progresser la pratique clinique

      • -
      • Établir et maintenir un réseau de contacts pour maximiser le potentiel et donner la priorité à l\'impact sur les patients

      • -
      • Intégrer de manière stratégique les connaissances et les données de l\'écosystème de santé pour prioriser les activités afin d\'obtenir le plus grand impact sur les patients

      • -
      • Favoriser une culture de confiance, d\'autonomisation et de leadership partagé grâce au coaching et au mentorat entre pairs

      • -
      • Collaborer avec les parties prenantes externes pour co-créer des solutions visant à améliorer les soins aux patients

      • -
      • Apprendre et se développer en continu grâce à des retours transparents et productifs tout en fournissant une excellence opérationnelle et en respectant les normes de conformité, d\'éthique et de sécurité, et évoluer de manière autonome en donnant et en recevant des retours transparents et productifs

      • -
      • Faire preuve d\'excellence opérationnelle et agir en tant que garant de normes élevées en matière de conformité, d\'éthique et de sécurité

      • -
      +

      As a Data Scientist Intern you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from a great variety of data sources.

      -

      Qui vous êtes :

      +

      The Opportunity:

        -
      • Vous détenez un diplôme universitaire dans un programme basé sur les sciences (PhD, MSc, MD, Pharm D, biomédical, etc.) et/ou une expérience pertinente dans les sciences de la vie ou le secteur des soins de santé.

      • -
      • Vous avez plus de 7 ans d\'expérience dans les sciences de la vie ou le secteur des soins de santé, y compris des connaissances cliniques ou thérapeutiques en oncologie.

      • -
      • Vous avez de l\'expérience dans les principes et les techniques d\'analyse critique des données, d\'analyse statistique, d\'interprétation et d\'évaluation de la pertinence clinique dans le but de comprendre et de communiquer des concepts scientifiques et des résultats d\'études.

      • -
      • Dans ce poste, vous serez en contact avec des clients en majorité au Québec et en atlantique, il est donc nécessaire de maîtriser l\'anglais de manière courante et le français est requis.

      • -
      • Vous êtes situé au Québec, de préférence à Montréal. Vous avez la capacité de voyager en fonction des besoins de l\'entreprise. Cela peut varier de déplacements limités jusqu\'à 40%.

      • +
      • Build and implement machine learning models, with a primary focus on regression techniques like gradient boosting, random forest, and support vector regression.

      • +
      • Clean, preprocess, and transform data from various sources to ensure data quality and consistency, and perform statistical analysis to validate machine learning models.

      • +
      • Work collaboratively within global agile teams to understand project requirements, contribute to data-driven healthcare solutions, and utilize data visualization tools for effective communication of insights.

      • +
      • Use Python and SQL to query, manipulate, and analyze large datasets, and engage in data preparation, feature engineering, model evaluation, and experiment design to test model performance.

      • +
      • Maintain organized documentation, contribute to research and development of predictive models, and seek opportunities for personal and professional growth while learning from experienced data scientists.

      -

      Atouts:

      +

      Who you are:

        -
      • Vous avez une bonne compréhension de l\'environnement pharmaceutique et du système de santé, des codes de l\'industrie (par exemple, IMC), des réglementations pertinentes (par exemple, BPC, PV) et du développement d\'actifs (médicaments, dispositifs, etc.).

      • -
      • Vous avez la capacité de communiquer avec impact et empathie tout en privilégiant une réflexion systémique et stratégique et vous êtes un négociateur influent et habile capable de nouer des relations solides et de travailler en réseau tout en recherchant une excellence opérationnelle grâce à une gestion de projet et une priorisation habile.

      • +
      • Currently enrolled in a Master or PhD candidate in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

      • +
      • Strong foundation in machine learning techniques, including gradient boosting and random forests, with expertise in Python for model development. Familiarity with other languages/tools like R is a plus.

      • +
      • Proficient in SQL for querying large datasets, with experience in using platforms like Snowflake, and skilled in data analysis and visualization tools such as Pandas, Numpy, Matplotlib, or Seaborn.

      • +
      • Ability to perform statistical analysis, proven understanding of the statistical methodology behind machine learning models, and capable of providing valuable insights through advanced analytical solutions.

      • +
      • Excellent data storytelling and visualization skills for communicating results to non-technical audiences, with experience in the pharmaceutical, biotech, or healthcare industry preferred.

      • +
      • Good knowledge of regulatory aspects related to machine learning in healthcare, combined with strong analytical and problem-solving skills, a goal-oriented mentality, and proficiency in English.

      -

      Les avantages de la relocalisation ne sont pas disponibles pour cette offre d\'emploi.

      -

      -

      -

      ***

      -

      -

      A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

      +

      Additional Information:

      +

      Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

      +

      Hours: full-time (35 hours per week)

      +

      Length: This position is a minimum 6-month work term (full-time).

      -

      We are seeking individuals who bring diverse experiences to help us grow our capabilities at Roche and make a collective difference for patients. Our external healthcare system is becoming increasingly complex, and we aim to go beyond our medicines to address the challenges faced by patients and caregivers on a daily basis. As a Medical Affairs Partner, you will play a critical role in leveraging your scientific expertise to integrate these solutions into the healthcare system for both present and future needs. If you\'re interested in learning more about what it means to be a Medical Affairs Partner, you can Click Here.

      +

      This position is not eligible for relocation support.

      -

      The Opportunity:

      -
        -
      • Develop and apply scientific expertise to advance clinical practice

      • -
      • Establish and maintain network connections to maximize potential and prioritize patient impact

      • -
      • Integrate insights and data from the healthcare ecosystem strategically to prioritize activities to achieve the highest patient impact

      • -
      • Foster a culture of trust, empowerment, and shared leadership through peer-to-peer coaching and mentorship

      • -
      • Collaborate with external stakeholders to co-create solutions for improved patient care

      • -
      • Continuously learn and grow through transparent and productive feedback while delivering on executional excellence and upholding compliance, ethics, and safety standards and grow in a self-directed way by giving and receiving transparent & productive feedback

      • -
      • Deliver on executional excellence and act as a guardian for high standards of compliance, ethics, and safety

      • +

        Who we are

        +

        At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

        +

        +

        Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

        +

        +

        As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

        +
        +

        +

        Roche is an Equal Opportunity Employer.

        +
        +
      ",,https://careers.roche.com/global/en/job/202409-123478/Data-Scientist-Intern,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345515672-data-scientist-intern-at-roche,,draft,2024-10-08T08:58:01.520Z,import-xml-feed:Selenium-Scraper,,,,,,, +c30fe4bf-16d7-4aef-a290-cfc2b57426e5,345423464,Scotiabank,Velocity - Compliance and Anti-Money Laundering Internship/Co-Op - Summer 2024 1,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.346Z,"

      +

      +

      +

      +

      Requisition ID: 206649

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Velocity – Compliance and Anti-Money Laundering Internship/Co-Op – Winter 2025

      +

      Term: January– April 2025

      +

      +

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      +

      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

      +

      +

      Compliance:

      +

      Do you have a keen interest in the different sectors of the banking industry? Are you interested in learning more about business operations in the area of Compliance? The Compliance Team is seeking candidates who enjoy working collaboratively with teams internally and externally, who thrive in a fast-paced environment managing competing priorities and deadlines. Compliance is a ever-growing field ensuring different areas of the bank follow set guidelines, rules and regulations to help govern bank policies and procedures. You’ll have the opportunity to gain hands-on experience in analyzing, investigating, and solving complex Compliance problems to ensure Bank-wide success. Apply to the Activate – Compliance stream if you want to develop as a compliance professional overseeing bank governance, international global regulatory relations, and internal bank processes.

      +

      +

      Anti-Money Laundering:

      +

      The Financial Crimes Risk Management (FCRM) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program, including design and effective implementation. The program is designed to:

      +

      +
      1. Mitigate the risks of Scotiabank products or services being used for prohibited activities; and
      2. Ensure compliance with the laws and regulations applicable to the bank.
      3. +
      +

      +

      To achieve this, we support the creation and maintenance of effective Know Your Client (“KYC”) processes, a risk-based approach to monitoring client activity to identify and report potentially suspicious and/or unusual activity, specialized training, independent testing, amongst other initiatives and activities.

      +

      +

      The FCRM Team includes functions that deal with data, technology, governance, reporting, policies and procedures, investigations, analytics, and so much more. Our team is comprised of both highly technical individuals, with strong data and analytics skills, as well as individuals with a strong foundation and interest in governance and policy development – as an Activate associate, you’ll get to experience both! If this area sounds interesting to you, apply now to the GRM, FCRM stream of Activate.

      +

      +

      Is this role right for you? In this role, you will:

      +
      • Work collaboratively with teams both within and outside Global Compliance on strategic initiatives
      • Drive comprehensive and innovative solutions to complex challenges and opportunities
      • Mobilize, build, sequence, and implement capabilities for change, impact, and ongoing sustainability
      • Supporting activities could include issue identification, formulating fact-based recommendations for improvement, researching enabling solutions and tools, preparation of presentation material and socialization, as well as data collection, ingestion, and key analysis for decision-making
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
      • Self-motivated; work both independently and collaboratively with multi-functional teams
      • Able to deliver results in a fast-paced, challenging, and dynamic business environment
      • Excellent interpersonal skills, leadership, and influential capabilities
      • Excellent presentation and written communication skills are an asset.
      • +
      +

      +

      What’s in it for you?

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +
      +

      +

      How do I apply?

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete a short one-way video interview here.
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. +
      +

      Application Deadline: 10/18/2024

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

      +

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Compliance-and-Anti-Money-Laundering-InternshipCo-Op-Summer-2024-1-ON/584362117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.354Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423464-velocity-compliance-and-anti-money-laundering-internship-co-op-summer-2024-1-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Compliance-and-Anti-Money-Laundering-InternshipCo-Op-Summer-2024-1-ON/584362117/,draft,2024-10-07T16:31:07.346Z,import-xml-feed:Scotiabank,,,,,,, +dac83806-d3d2-451c-8d0c-819d63b97cc6,345423466,Scotiabank,Velocity - Treasury Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.560Z,"

      +

      +

      +

      +

      Requisition ID: 206615

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Velocity – Treasury Internship/Co-Op – Winter 2025

      +

      Term: January – April 2025

      +

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      +

      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

      +

      +

      Is this role right for you? In this role, you will:

      +
      • Conduct reviews to ensure compliance with regulatory requirements.
      • Assist with reviewing and enforcing policies and procedures.
      • Provide support to various teams within Group Treasury.
      • Attend meetings with key stakeholders and leadership.
      • Undertake projects as required.
      • Review files for forecasting to ensure consistency.
      • Prepare data and work with data analytics.
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +
      • You are currently enrolled in post-secondary education.
      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
      • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
      • You are a highly self-motivated individual with strong time-management skills.
      • You have an analytical mindset and investigative abilities.
      • You can lead high volume, time sensitive projects.
      • You have strong written and verbal communication skills.
      • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
      • Understanding of Capital Markets products is considered an asset.
      • Understanding of PowerBI, VBA, SAS, SQL or Tableau is considered an asset.
      • +
      +

      +

      +

      What’s in it for you?

      +
      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
      • +
      +

      +

      How do I apply?

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

      +

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. +
      +
      1. Complete a short one-way video interview here
      2. +
      +
      1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      2. +
      +

      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

      +

      Application Deadline: 10/18/2024

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Winter-2025-ON/584362517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.578Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423466-velocity-treasury-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Winter-2025-ON/584362517/,draft,2024-10-07T16:31:07.560Z,import-xml-feed:Scotiabank,,,,,,, +0ef9cdfb-f9c3-4298-9ace-6ac5e7a21362,345423476,Scotiabank,Wealth Management - Tax Administrator Intern/Co-op Winter 2025 (Toronto),on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.728Z,"

      +

      +

      +

      +

      Requisition ID: 206600

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: Jan – May 2025

      +

      Application Deadline: 10/18/2024

      +

      +

      There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

      +

      As a Tax Administrator you will Contributes to the overall success of a Scotiatrust Taxation Services unit in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

      +

      +

      +

      Is this role right for you? In this role, you will…

      +

      +
      • Prepare income tax returns by proactively gathering and analyzing all relevant supporting documentation, such as income statements, transactions, tax slips, capital gains & losses statements, fees deductions and relevant credits
      • Discuss tax rules and tax elections with the Tax Officer, Associate Tax Officer and/or Manager, Taxation, and assess client tax situations, perform detailed analysis, undertake research, and provide and suggestion around specific course of action in less complex situation.
      • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-today activities and decisions.
      • Actively pursue effective and efficient operations of his/her respective areas, while ensuring thorough knowledge of, and strict adherence to, the Bank’s Global Sales Practices, ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
      • +
      +

      +

      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

      +

      +
      • You are currently enrolled in post-secondary education.
      • You have strong computer skills, including knowledge of tax preparation programs and Microsoft applications (especially PowerPoint, Excel and Word), salesforce and the Broadridge Trust System.
      • You are detail oriented.
      • You have customer service focus.
      • You have strong organizational skills.
      • You take initiative, work well with minimal direction and multi-task.
      • You have strong writing skills and exceptional attention to detail.
      • +
      +

      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +
      1. Complete your PLUM Profile here and save as a screenshot.
      2. Complete short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
      4. +
      +

      +

      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

      +

      +

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Tax-Administrator-InternCo-op-Winter-2025-%28Toronto%29-ON/584349017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423476-wealth-management-tax-administrator-intern-co-op-winter-2025-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Tax-Administrator-InternCo-op-Winter-2025-%28Toronto%29-ON/584349017/,draft,2024-10-07T16:31:08.728Z,import-xml-feed:Scotiabank,,,,,,, +f6463c59-221a-43c5-b0a4-695633d3a747,345423483,Scotiabank,Canadian Banking - Marketing & Communications Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:09.600Z,"

      +

      +

      +

      +

      Requisition ID: 206544

      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

      +

      +

      Term: January - April 2025

      +

      Application Deadline: 10/18/2024

      +

      +

      There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership, and Opportunity).

      +

      +

      Is this role right for you? In this role, you will:

      +
      • Support the team by managing business-as-usual updates and new requests for resources and supporting material.
      • Support new requests and updates for marketing resources.
      • Help evolve and improve the user experience by exploring internal and external best practices.
      • Work with business partners on the creation of relevant, timely material.
      • Assist in tracking efforts, establishing KPI reporting, and performing necessary analysis to organize information and draw actionable insights.
      -

      -

      Who you are:

      -
        -
      • You hold a university Degree in a Science Based Program (PhD, MSc,MD, Pharm D, Biomedical, allied Health) and/or relevant experience in life sciences or health care system sector.

      • -
      • You have 7+ years’ of experience in the life sciences or health care system sector including clinical or therapeutic knowledge of Oncology.

      • -
      • You have experience in principles and techniques of critical data analysis, statistical analysis, interpretation, and assessment of clinical relevance for the purpose of understanding and communicating scientific concepts and study results.

      • -
      • In this position, you will be servicing customers with a focus on Quebec and Atlantic, therefore a proficient level of English is required and French is required.

      • -
      • You have the ability to travel depending on the business need. May vary from limited travel to up to 40%. You are located in Quebec, preferably in Montreal.

      • +

        +

        Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

        +
        • You are currently enrolled in post-secondary education.
        • You love to learn and envision yourself working for an international organization that heavily invests in your future.
        • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
        • You have a high level of competency with MS Office suite.
        • You have strong written and verbal communication skills.
        • You can manage multiple tasks at once and are adaptable with priorities.
        • You can create engaging slide decks and have experience in creative projects.
        -

        -

        Preferred

        -
          -
        • You have a good understanding of the pharma, health care system environment, industry codes (eg. IMC), relevant regulations (eg. GCP, PV) and the development of assets (drugs, devices, etc.).

        • -
        • You have the ability to communicate with impact and empathy while focusing on Systems & Strategic Enterprise thinking and are a skilled influencer & negotiator with the ability to build strong relationships and work across networks while striving for executional excellence through skillful project management and prioritization.

        • +

          +

          What’s in it for you?

          +
          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
          -

          -

          Relocation benefits are not available for this job posting.

          -

          -

          Who we are

          -

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          -

          -

          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

          -

          -

          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

          -
          -

          -

          Roche is an Equal Opportunity Employer.

          -
          -
      ",,https://careers.roche.com/global/en/job/202409-122489/Medical-Affairs-Partner,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243746-medical-affairs-partner-at-roche,,draft,2024-09-30T08:58:02.523Z,import-xml-feed:Selenium-Scraper,,,,,,, -b80af522-7f9c-452b-b969-5608ee3ddaf8,344243750,OMERS,Community Manager - 13 Month Contract,on_site,"Ontario, Canada",2024-09-30T08:58:02.805Z,"
      +

      +

      How do I apply?

      +

      +

      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

      +

      +
      1. Complete your PLUM Profile here and save it as a screenshot.
      2. Complete a short one-way video interview here
      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
      4. +
      +

      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

      +

      +

      +

      Location(s): Canada : Ontario : Toronto

      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Marketing-&-Communications-InternshipCo-op-Winter-2025-ON/584329617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-17T16:36:04.858Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423483-canadian-banking-marketing-communications-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Marketing-&-Communications-InternshipCo-op-Winter-2025-ON/584329617/,draft,2024-10-07T16:31:09.600Z,import-xml-feed:Scotiabank,,,,,,, +1ebb1216-d5df-4c21-b271-a4ffd65b5bc3,345762485,OMERS,"Analyst, Real Estate Finance & Capital Markets",on_site,"Ontario, Canada",2024-10-10T08:58:03.509Z,"

      Choose a workplace that empowers your impact.

      Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

      @@ -18004,69 +19203,56 @@ b80af522-7f9c-452b-b969-5608ee3ddaf8,344243750,OMERS,Community Manager - 13 Mont

      Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

      -
      -

      Being a passionate and experienced customer service champion, as the Community Manager, you will partner with property teams to deliver building events and programs geared toward maximizing the sense of community.  Always innovating and identifying compelling place making activities, you will influence positive customer experiences every day.

      You will be a key member of an engaged, high performing team — part of a world-class, winning culture that prioritizes people development and focuses on long-term growth. We take great pride in leading the industry by earning respect through every interaction, every day. We go above and beyond to protect and grow relationships by anticipating needs, being honest and considerate, and valuing customers as genuine partners.

      -
      +

      We are seeking candidates for the Analyst, Real Estate Finance & Capital Markets (“REF”) role in Toronto. In this role you will have the opportunity to assist in underwriting, developing, and executing financing transactions for Oxford’s North American business. The current North American debt portfolio totals approximately $15 billion and continues to grow as Oxford expands its portfolio.

      -

      As a member of this team, you will be responsible for:

      -
      -

      Program Innovation and Event Delivery

      -
      • Elevate the Customer experience for all occupants of Oxford\'s office buildings within Toronto

      -
      • Research and apply best in class hospitality level of engagement to differentiate the Oxford experience for our customers in Office.

      -
      • Leverage scale of portfolio and regional budget to develop and deploy city-wide on-premises and virtual events to engage and develop community, including the creation and delivery of events hosted on our digital platform

      -
      • Liaise with key customer contacts to collaborate and develop effective occupant engagement

      -
      • Strategize, create, source and negotiate partnerships that drive engagement and potential revenue through lobby and onsite engagements at our properties.  Partner with other internal Oxford teams to maximize vision and efficacy across asset classes. Partner with retail customers and neighboring businesses to deliver unique customer experiences

      -
      • Leverage Retail Promo Fund(s) to specifically develop promotions/programs targeted at driving sales/promotion/engagement to our retail customers

      -
      • Manage Not for Profit / Charitable relationships, programs, and activations

      -
      • Ensure site teams have necessary training and resources to execute programs

      -
      • Leverage onsite amenities, retailers, and alternate programs to drive customer engagement across entire occupant population

      -
      • Be a resource to our retail customers to offer expertise to drive further alignment and partnership

      -
      +

      As a member of this team, you will be responsible for:

      +
        +
      • Working alongside members of the REF team, Investment teams, Asset Management and/or Development teams to assist in developing underwriting assumptions, asset level or portfolio level financing metrics/analysis for new and existing deployment strategies;
      • +
      • Assisting REF Portfolio managers in financing strategy development & execution;
      • +
      • Creating marketing materials to be used to source debt capital from lenders;
      • +
      • Drafting financing approval items and memos
      • +
      • Assisting in review of financing documents by key internal partners including term sheets, commitment letters, loan documents, and hedging documents;
      • +
      • Assist in drafting presentations and memos for Investment Committee and executive submissions;
      • +
      • Assisting with financing strategies and financing executions in North America and in other regions as needed.
      • +

      -

      Research and Analytics

      -
      -
      • Create frictionless feedback opportunities for customers to continuously improve, refine, recreate engagements with customers

      -
      • Participate in the collation, analysis and understanding of data around event participation and effectiveness, including as it relates to our ESG (Environmental, Social and Governance) priorities

      -
      • Track budget on a monthly / quarterly basis for region and properties

      -
      • Provide analysis on effectiveness, ROI, and recommendations

      -
      +

      Portfolio Management

      +
        +
      • Build financial models and material to perform ongoing assessments of the portfolio, maturity profile, cost of debt, fixed/floating ratios, market value of debt, etc;
      • +
      • Work with asset management, legal, accounting, reporting and compliance teams to evaluate and manage compliance risk in the portfolio by evaluating current and proforma debt metrics and lender covenants;
      • +
      • Work with the broader REF teams and asset management teams to ensure that REF portfolio managers have the reporting and information required to evaluate financing risk of their portfolios;
      • +
      • Work with broader REF team on loan onboarding, lender compliance management, debt reporting, and debt assumptions related to quarterly/annual budgeting and forecasting cycles.
      • +

      -

      Marketing, Branding and Public Relations

      -
      -
      • In partnership with corporate and site partners, establish initiatives that will maximize exposure within budget parameters

      -
      -
      -
      • Collaborate with site teams to ensure property engagement collaterals are up to date reflecting community building initiatives, providing communication and event templates across all properties

      -
      • Coordinate with local groups, including Business Improvement Associations and media, to ensure regular and broad exposure, leveraging all opportunities for positive promotion

      -
      +

      Stakeholder Management

      +
        +
      • Build relationships with key internal Oxford/OMERS partners to ensure strong, open lines of communication exist;
      • +
      • Assist in maintaining financing pipelines to ensure stakeholders are aware of the financing activity for their portfolios;
      • +
      • Partner with broader REF team to ensure adequate internal controls, policies and debt processes are in place to effectively manage Oxfords global debt portfolio;
      • +
      • Participating in OMERS/Oxford lender relationship meetings and material preparation;
      • +

      -

      To succeed in this role, you:

      -
      -
      • Post-secondary degree with a Marketing (Advertising/Public Relations), Communications, or Business major

      -
      • Minimum of 5 years of combined experience in marketing, communications and/or customer service; shopping center marketing is an asset

      -
      • Minimum 2 years of project management experience

      -
      • Outstanding time management and organization skills; able to handle multiple priorities

      -
      • Excellent written and verbal communication skills, including the ability to communicate internally and externally and with all levels of management with professionalism, courtesy, and credibility

      -
      • Proficient in all Microsoft Office Programs, Asana and Adobe Creative Suite.

      -
      • Ability to develop creative, engaging, and original content and displays

      -
      • Strong analytical and problem-solving skills

      -
      • Knowledge of search engine optimization (SEO) and web metrics

      -
      • Ability to work to deadlines and stay calm in a pressured environment

      -
      • Highly motivated with a positive can-do attitude

      -
      • Cross-functional team player

      -
      • Proficient in budget and event management

      -
      • Some weekend and evening shifts may be required

      -
      +

      To succeed in this role, you have:

      +
        +
      • University degree in finance, business, commerce or accounting;
      • +
      • CPA or CFA designation preferred or in progress;
      • +
      • 1 - 3 years of experience in a large organization working with commercial real estate borrowing or lending;
      • +
      • Superior Excel and financial modelling skills (complex formulas, advanced functions, tables/pivot tables);
      • +
      • Takes initiative, is detailed-oriented, accountable, and well-organized, and finds innovative and efficient methods of completing tasks in a fast-paced and dynamic environment;
      • +
      • Highly developed strategic thinking, problem solving and analytical skills;
      • +
      • Solid two-way communication skills, both verbal and written;
      • +
      • Strong relationship management skills.
      • +

      Oxford\'s purpose is to strengthen economies and communities through real estate.

      Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

      From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

      -
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Community-Manager---13-Month-Contract_JR-6561-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-30T08:58:02.805Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243750-community-manager-13-month-contract-at-omers,,draft,2024-09-30T08:58:02.805Z,import-xml-feed:Selenium-Scraper,,,,,,, -b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialist II, Startups, Google Cloud",on_site,"Toronto, ON, Canada",2024-09-30T08:34:02.368Z,"
      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst--Real-Estate-Finance---Capital-Markets_JR-6610?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-09T08:58:03.510Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345762485-analyst-real-estate-finance-capital-markets-at-omers,,draft,2024-10-10T08:58:03.509Z,import-xml-feed:Selenium-Scraper,,,,,,, +df4b3074-2e7f-4a50-9436-84fb948381aa,345759469,Google,"Software Developer III, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-10T08:34:03.257Z,"
      -

      Technical Sales Specialist II, Startups, Google Cloud

      +

      Software Developer III, Infrastructure, Google Cloud Platforms

      @@ -18085,7 +19271,7 @@ b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialis
      -corporate_fareGoogleplaceToronto, ON, Canada; Ottawa, ON, Canada
      +corporate_fareGoogleplaceWaterloo, ON, Canada
      @@ -18099,7 +19285,7 @@ b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialis
      -Apply
      +Apply
      @@ -18119,54 +19305,136 @@ b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialis
      -
      -
      -
      info_outline
      -XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Ottawa, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Ottawa, ON, Canada. +

      Minimum qualifications:

      +
        +
      • Bachelor’s degree or equivalent practical experience.
      • +
      • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
      • +
      • 2 years of experience with data structures or algorithms in either an academic or industry setting.
      • +
      • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
        +
      • +
      +

      Preferred qualifications:

      +
        +
      • Master\'s degree or PhD in Computer Science or related technical fields.
      • +
      • 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
      • +
      • Experience developing accessible technologies.
      • +
      • Proficiency in code and system health, diagnosis and resolution, and software test developing.
        +
      • +
      - +
      +

      About the job

      +

      Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

      +

      Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

      +

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      -

      Minimum qualifications:

      +
      +

      Responsibilities

        -
      • Bachelor\'s degree or equivalent practical experience.
      • -
      • 6 years of experience with cloud native architecture in a customer-facing or support role.
        +
      • Write product or system development code.
      • +
      • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
      • +
      • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
      • +
      • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
      • +
      • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
      • +
      +
      +
      +

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

      +

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      +

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      +

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      +

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      +
      +
      ",,https://www.google.com/about/careers/applications/jobs/results/122807212723577542-software-developer-iii-infrastructure-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-14T08:39:02.816Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759469-software-developer-iii-infrastructure-google-cloud-platforms-at-google,,draft,2024-10-10T08:34:03.257Z,import-xml-feed:Google-Job-Feed,,,,,,, +069ba8e3-7005-4639-9de2-e2b8b0d549ae,345360974,Google,"Account Manager, Large Customer Sales",on_site,"Toronto, ON, Canada",2024-10-07T08:34:03.976Z,"
      +
      +

      Account Manager, Large Customer Sales

      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link
      • -
      • Experience with cloud developers, on-premise developers, virtualization, or containerization platforms.
        +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +corporate_fareGoogleplaceToronto, ON, Canada
      +
      +
      +
      +bar_chartEarly +
      +
      +

      Early

      +
      Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
      +
      +
      +
      +
      +
      +Apply
      +
      +
      +
      +
      +
      +share +
      +
        +
      • +linkCopy link +
      • +
      • +emailEmail a friend +
      • +
      +
      +
      +
      +
      +

      Minimum qualifications:

      +
        +
      • Bachelor\'s degree or equivalent practical experience.
        +
      • +
      • 2 years of advertising, consultative sales, business development, online media environment, or marketing role.

      Preferred qualifications:

        -
      • Experience in migrating applications and services to cloud platforms.
        -
      • -
      • Experience with security concepts such as encryption, identity management, access control, attack vectors, and pen testing.
        +
      • Master\'s degree in a business related field.
      • -
      • Experience working with, and passion for, the startup ecosystem.
        +
      • 2 years of experience working in a complex, matrixed organization.
      • -
      • Experience prospecting, and building and maintaining new customer relationships from scratch, with excitement for building out Greenfield territories.
        +
      • 1 year of experience managing digital marketing and advertising campaigns, projects, and relationships with customers or agencies.

      About the job

      -

      When leading companies choose Google Cloud, it\'s a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

      -

      As a Technical Sales Specialist, you will partner with technical Sales teams to differentiate Google Cloud to our customers across the startup ecosystem. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will understand customers\' business and technical requirements, and persuasively present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

      You will focus on customer opportunities as a technical generalist, spanning infrastructure modernization, application modernization, data analytics and more. You will be passionate about building new relationships, with experience in prospecting and building out greenfield territories.

      You will be a part of a diverse team working in an environment of respect and inclusion where we promote equal opportunities to succeed.

      -

      Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

      +

      Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

      +

      Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

      Responsibilities

        -
      • -Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
        +
      • Build and manage relationships with clients, and develop an understanding of their business challenges, marketing objectives, and success metrics.
      • -
      • -Share Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partner direct with product management to prioritize solutions impacting customer adoption to Google Cloud.
        +
      • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
      • -
      • Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
        +
      • Plan for, and achieve, business growth goals, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
      • -
      • -Identify integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.
        +
      • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers.
      • -
      • Lead prospect and acquisition of new logos, creating and building customer relationships from scratch, and establish yourself as a trust advisor on their long-term technology and business decisions.
        +
      • Build an in-depth knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
      @@ -18177,109 +19445,96 @@ b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialis

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      -
      ",,https://www.google.com/about/careers/applications/jobs/results/142213223049765574-technical-sales-specialist-ii-startups-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-07T08:39:04.842Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344242844-technical-sales-specialist-ii-startups-google-cloud-at-google,,draft,2024-09-30T08:34:02.368Z,import-xml-feed:Google-Job-Feed,,,,,,, -4606b8b0-52b1-4cfd-a065-787a03e905ce,344240808,BMO Financial Group,"Manager, Customer Contact Optimization Analytics and Insights",on_site,"Ontario, Canada",2024-09-30T08:18:01.925Z,"
      -

      Application Deadline:

      10/14/2024

      -

      -

      Address:

      250 Yonge Street

      -

      -

      Job Family Group:

      Data Analytics & Reporting

      -

      -

      +
      ",,https://www.google.com/about/careers/applications/jobs/results/78028915997582022-account-manager-large-customer-sales?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-10T08:39:03.358Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345360974-account-manager-large-customer-sales-at-google,,draft,2024-10-07T08:34:03.976Z,import-xml-feed:Google-Job-Feed,,,,,,, +2833d738-330a-49f3-9b51-9f6346a07bd3,344787655,Roche,Clinical Operations Analytics & Portfolio Optimization Intern,on_site,"Ontario, Canada",2024-10-03T08:58:02.462Z,"
      +

      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

      -

      As a manager in the bank’s omni-channel customer communication team, you will be part of a team that transforms the banking experience and drive revenue growth. In this role you will be change agent and responsible for delivering insights on omni-channel marketing programs to drive incremental revenue.

      -

      -

      The ideal candidate will possess a unique blend of data and storytelling experience, passion for driving the business forward, and a big-picture vision for the future of targeted customer conversations. This role involves collaboration with marketing groups, business partners, product management, and data analytics professionals within the organization.

      -


      What you will be doing:

      -

      -

      Provide analytical insights and thought leadership to drive incremental revenue:

      -
        -
      • Understands and articulates the business case of business questions and the estimated value being delivered.

      • -
      • Accountable to deliver analytics, insights and reporting in line with both immediate and long-term business objectives

      • -
      • Conduct optimization or trade-off analysis between programs and channels
      • -
      • Contribute to the delivery of reports and presentations that evaluate and analyze the effectiveness of programs and initiatives
      • -
      • Develop and maintain ongoing dashboards to support the business, use appropriate visualization and analytic tools
      • -
      +

      +

      The Position

      +

      At Roche, we are driven by an ambitious Pharma Vision to redefine Pharma Product Development (PD) Global Clinical Operations (PDG). Our mission is to innovate clinical trial delivery, putting patients at the center and transforming their experience along with caregivers and sites. Join our passionate and collaborative community, where we focus on high-impact work, embrace individuality, and empower teams to deliver significant outcomes. We cultivate a culture that values personal growth, reduces hierarchy, and supports self-directed career journeys with access to trusted advisors and coaches.

      +

      +

      The Opportunity:

      -

      Data Engineering:

      +

      The Clinical Operations Analytics & Portfolio Optimization Intern plays a pivotal role in supporting clinical trial teams by maximising expertise in data analytics, patient and investigator insights, and business intelligence. The position involves a variety of responsibilities sought at optimizing trial delivery and providing strategic operational insights.

      +

      The role involves supporting the optimization of country strategies and forecasting trial timelines across the Roche portfolio, ensuring efficient trial delivery through the development of strategic insights and recommendations. Collaboration with teams is crucial to develop tools and recommendations for reporting strategies, automate data processing, and deliver analyses and business solutions to the clinical operations organization. This includes the integration of in-depth patient insights, such as knowledge of epidemiology, disease progression, patient journeys, existing treatments, and standard care practices.

      +

      Additionally, the position requires a detailed understanding of the investigator landscape, including local geographic needs, previous engagements with Roche, adherence to Good Clinical Practices (GCPs), and overall quality and compliance. The role also involves supervising and tracking the competitive landscape, conducting primary research, and assessing risk levels to determine their implications for trial execution. This comprehensive approach ensures that the team can make well-informed decisions and optimize clinical trial outcomes optimally.

        -
      • Comfortable with building fully automated user managed tables that drive automated dashboard reporting
      • -
      • Work with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytic solutions and decision support tools
      • +
      • Work within cross-functional teams to develop analytical solutions and gain alignment and engage stakeholders to enable better decision-making and deliver impactful business insights.

      • +
      • Build an understanding of patient, investigator, and site needs, including identifying pain points and exploring opportunities for streamlining investigator and site-level burdens.

      • +
      • Create tools for automating data processing, cleaning, and delivering analyses and provide business solutions to the clinical operations organization through automation.

      • +
      • Compile and analyze relevant information to synthesize key actionable insights; deliver impactful formal and informal presentations to various leadership teams and stakeholders.

      • +
      • Assess competitive clinical trial activities, country/site footprints, and threats, provide situational analysis support for quarterly business reviews and early clinical trial planning and support the identification of appropriate sites and countries for trial placement.

      -

      Campaign Execution:

      +

      Who you are:

        -
      • Translate business and technical specifications to develop customer communication programs, product/services and channel enhancements/integration points
      • -
      • Proactively identify opportunities to improve execution efficiency and accuracy
      • +
      • You hold an undergraduate degree or equivalent experience in sciences, healthcare, life sciences and related fields.

      • +
      • You are currently enrolled in a Masters in Biomedical Discovery and Commercialization or Masters in Biotechnology program.

      • +
      • With a strong analytical mentality and problem-solving abilities, you are adept at breaking down sophisticated issues, managing uncertainty, and understanding interdependencies.

      • +
      • You have experience in database querying and data analysis, particularly using SQL, and are proficient with standard analysis, collaboration, and presentation software such as Microsoft Suite and Google Suite, allowing to integrate data from various sources and present findings effectively.

      • +
      • You have excellent communication, organizational, and time management skills, paired with a passion for business and scientific intelligence, enabling you to present insights objectively and guide decision-making through compelling storytelling.

      -

      -

      What we are looking for:

      +

      Preferred:

        -
      • You are comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
      • -
      • You\'re highly proactive and driven by collective success.
      • -
      • You enjoy uncertainty and ambiguity and working in agile fashion
      • -
      • You seek out innovation solutions and embrace evolving technologies
      • -
      • You thrive when you are empowered to take the lead, go above and beyond and deliver on results
      • +
      • You have knowledge in Predictive modeling, simulation, forecasting

      • +
      • Basic understanding of clinical research and disease mechanisms

      • +
      • You have experience in Data analysis using R or Python and familiarity with business intelligence tools (Spotfire, Tableau).

      -

      The ideal candidate will have the following experience and skills:

      +

      Additional Information:

      +

      Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

      +

      Hours: full-time (35 hours per week)

      +

      Length: This position is a 12-month work term (full-time) and is expected to begin in January 2025

      -

      Knowledge:

      -
      • Solid working knowledge with statistical/data analysis tools, including SAS, SQL, R, Python
      -
        -
      • Work experience to create effective visualizations, reports and dashboards such as Tableau, Power BI, SAS Visual Studio, R
      • -
      • Strong grasp of Marketing and Business KPIs across physical and digital channels
      • -
      • Strong business acumen and ability to consider customer experience, employee experience and revenue generation in all aspects of their decision-making
      • -
      • Familiarity with programmatic marketing principles and associated technology
      • -
      +

      Relocation benefits are not available for this job posting.

      +

      #MBDC&MBiotech

      -

      Skills:

      +

      Who we are

      +

      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

      +

      +

      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

      +

      +

      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

      +
      +

      +

      Roche is an Equal Opportunity Employer.

      +
      +
      ",,https://careers.roche.com/global/en/job/202408-121429/Clinical-Operations-Analytics-Portfolio-Optimization-Intern,feed-importer@jobboard.io,,,,2024-10-07T09:03:03.201Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344787655-clinical-operations-analytics-portfolio-optimization-intern-at-roche,,draft,2024-10-03T08:58:02.462Z,import-xml-feed:Selenium-Scraper,,,,,,, +8f9122e3-67c6-48f6-9fa6-648fddcac370,344787008,BMO Financial Group,"Manager, Credit Optimizaton Strategy & Analysis",on_site,"Ontario, Canada",2024-10-03T08:18:03.382Z,"
      +

      Application Deadline:

      10/14/2024

      +

      +

      Address:

      33 Dundas Street West

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +

      Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

        -
      • Motivated, hardworking individual with a genuine curiosity in data, analytics and marketing
      • -
      • Well-developed oral and written communication skills, including the ability to simplify complex content into business language
      • -
      • Ability to multi-task and think creatively in a rapidly changing environment with competing priorities, and proactively drive business outcomes
      • -
      • Analytical and problem-solving skills – ability to identify relevant information and define root issues, ability to interpret data and package insights in clear, concise stories for diverse audiences to drive change
      • -
      • Working ability to manage ambiguous, complex requirements with innovative and creative thinking
      • -
      • Numerate and comfortable with financial calculations and building business cases
      • +
      • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
      • +
      • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
      • +
      • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
      • +
      • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
      • +
      • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
      • +
      • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
      • +
      • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
      • +
      • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
      • +
      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
      • +
      • Provides specialized consulting, analytical and technical support.
      • Exercises judgment to identify, diagnose, and solve problems within given rules.
      • Works independently and regularly handles non-routine situations.
      • +
      • Broader work or accountabilities may be assigned as needed.
      -


      -
        -

        -

        Foundational level of proficiency:

        -
          -
        • Technical design optimization.
        • -
        • Decision Making.
        • -
        • Systems Thinking.
        • -
        -

        Intermediate level of proficiency:

        -
          -
        • Data visualization.
        • -
        • Data storytelling.
        • -
        • Data mining.
        • -
        • Illustration.
        • -
        • Creative thinking.
        • -
        • Problem Solving.
        • -
        • Verbal & written communication skills.
        • -
        • Collaboration & team skills.
        • -
        • Analytical and problem solving skills.
        • -
        • Data driven decision making.
        • -
        -

        Advanced level of proficiency:

        -
          -
        • Insights design.
        • -
        • Insights development and reporting.
        • -
        -

        -

        Education / Work Experience:

        +

        Qualifications:

        • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
        • -
        • Strong analytical aptitude with 5+ years of work experience in data and analytics role
        • +
        • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python,Power BI - In-depth.
        • Deep knowledge and technical proficiency gained through extensive education and business experience.
        • -
        • An undergraduate/masters level background in an analytical discipline such as management analytics, statistics, mathematics, economics, computer science, engineering, or equivalent practical experience
        • -
        • Experience with people management and talent development
        • -
        • Work experience in Business Analytics, Marketing, Digital Marketing an asset
        • +
        • Verbal & written communication skills - In-depth.
        • +
        • Collaboration & team skills - In-depth.
        • +
        • Analytical and problem solving skills - In-depth.
        • +
        • Influence skills - In-depth.
        • +
        • Data driven decision making - In-depth.

        @@ -18304,124 +19559,165 @@ b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialis

        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

        Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

        -
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Customer-Contact-Optimization-Analytics-and-Insights_R240025343-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T08:23:03.513Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344240808-manager-customer-contact-optimization-analytics-and-insights-at-bmo-financial-group,,draft,2024-09-30T08:18:01.925Z,import-xml-feed:BMO-Job-Feed,,,,,,, -65282841-fb6b-486c-9002-f1a9be895552,343703232,Scotiabank,GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months,on_site,Canada : Ontario : Toronto,2024-09-26T16:30:04.814Z,"

        -

        -

        -

        Requisition ID: 206613
        Employee Referral Program – Potential Reward:

        We are committed to investing in our employees and helping you continue your career at Scotiabank.

        -

        -

        GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months

        -

        -

        Term: 12 or 16 months

        -

        Start date: May 2025

        -

        Location: Toronto, Ontario, Canada

        -

        Application Deadline: 10/7/24

        -

        -

        There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

        -

        -

        Who we are:

        -

        Global Banking & Markets (GBM) provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange, and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

        -

        -

        Is this role right for you? In this role, you will:

        -

        As a Trade Floor Technology Consultant (Full Stack Developer), you will work on Scotiabank’s trade floor, providing full stack web development of applications and enhancement of web-based systems. As part of the Global Banking & Markets, Trade Floor Support & Automation team, you will analyze business processes, liaise with various groups within the bank, develop web-based systems, and design user interfaces to meet business needs. You will use state of the art web development technologies, including working with large datasets, bulk editing, advanced reporting, workflow notifications, APIs, web security, and intelligent prediction using analytics/machine learning.

        -

        -

        This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields. You will also get exposure to financial products, as well as leading edge trading technologies and applications such as Bloomberg.

        -

        -

        What’s in it for you?

        -

        This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields.

        -
        • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

        • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

        • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

        • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

        • Opportunity to get involved in the Scotiabank Co-op Social Committee and help plan events across Toronto.

        • Work in the heart of the Financial and Entertainment Districts in downtown Toronto.

        • Trade Floor Tours are available, offering a rare insight into modern financial analysis, trading, and sales.

        • On-site cafeteria and free refreshments available.

        • +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Credit-Optimizaton-Strategy---Analysis_R240023379-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-07T08:23:01.744Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344787008-manager-credit-optimizaton-strategy-analysis-at-bmo-financial-group,,draft,2024-10-03T08:18:03.382Z,import-xml-feed:BMO-Job-Feed,,,,,,, +a06ed1b0-af24-4fcf-9e42-9f85808fbf2b,344787036,Google,"Software Developer III, XR Data, Perception Systems",on_site,"Toronto, ON, Canada",2024-10-03T08:34:02.096Z,"
        +
        +

        Software Developer III, XR Data, Perception Systems

        +
        +
        +
        +
        +share +
        +
          +
        • +linkCopy link +
        • +
        • +emailEmail a friend +
        • +
        +
        +
        +
        +
        +corporate_fareGoogleplaceMountain View, CA, USA; Waterloo, ON, Canada
        +
        +
        +
        +bar_chartMid +
        +
        +

        Mid

        +
        Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
        +
        +
        +
        +
        +
        +Apply
        +
        +
        +
        +
        +
        +share +
        +
          +
        • +linkCopy link +
        • +
        • +emailEmail a friend +
        • +
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        +
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        +
        +
        info_outline
        +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada. +
        + +
        +

        Minimum qualifications:

        +
          +
        • Bachelor’s degree or equivalent practical experience.
          +
        • +
        • 2 years of experience with software development in C++ or Java, or 1 year of experience with an advanced degree.
          +
        • +
        • Experience in video coding, image processing or related domains.
          +
        -

        -

        Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

        -
        • You are currently enrolled in post-secondary education.

        • You love to learn and envision yourself working for an international organization that heavily invests in your future.

        • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

        • You possess effective programming and analytical skills. Familiarity and experience with full stack web development is preferred including:

        • +

          Preferred qualifications:

          +
            +
          • Master\'s degree or PhD in Computer Science or related technical fields.
            +
          • +
          • Experience developing, improving, and monitoring the Extended Reality (XR) Software stack.
            +
          • +
          • Experience developing high-performance computer vision systems for real-time applications on mobile platforms.
            +
          • +
          • Knowledge of C++ (i.e., camera/image processing/dataset tools), Java/Kotlin (i.e., apps used to record, playback, editing), Python (image processing for tools), and Video/Audio encoding/decoding.
            +
          -
          • Front-end languages and frameworks (e.g. HTML, CSS, JavaScript, JQuery, Bootstrap, React, Vue.js)

          • Back-end languages (e.g. C#, ASP, Visual Basic, Python)

          • SQL and relational databases (e.g. Microsoft SQL Server or Microsoft Access)

          • You have good interpersonal and communication skills. These are essential, as you will be required to work in a team environment and communicate with various channels.

          • You are highly self-motivated, and able to work quickly in a dynamic, challenging, and fast-paced environment. The tools being built are constantly evolving and changing according to business needs and technological opportunities, and you will be encouraged to contribute ideas to the design and implementation of such tools as part of a collaborative process.

          • +
        +
        +

        About the job

        +

        Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

        +

        The XR-Data team develops the ingest technologies for cameras and sensors for compute-constrained AR/VR/XR devices, and also enables clients to simulate repeatable and editable scenarios within an AR/VR context.

        +

        The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

        +

        The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

        +

        Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

        +
        +
        +

        Responsibilities

        +
          +
        • Write robust, reliable, efficient, and testable software designed to run on compute-constrained android devices running perception pipelines at high frame rate and bandwidth.
          +
        • +
        • Work collaboratively with other Developer teams to optimize performance, usability, and testability for use cases that leverage camera/sensor stacks on a novel platform.
          +
        • +
        • Communicate, design, and implement decisions effectively through architecture/design documents and code.
          +
        • +
        • Review code developed by other developers and provide feedback to ensure best practices. Contribute to the overall efficiency and productivity of the Developer team through code, process enhancements, and software development workflow improvements.
          +
        -

        -

        How do I apply?

        -

        -

        Please complete all four steps below:

        -
        1. Complete your PLUM Profile here and save as a screenshot.
        2. Complete a short one-way video interview here.
        3. Complete a Codility Assessment here. There is 1 question on the Codility test: one arithmetic problem (using any of C, C++, C#, Java, Javascript, Python). Time limit to complete the assessment is 30 minutes.
        4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript.
        5. -
        -

        -

        *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

        -

        -

        -

        Location(s): Canada : Ontario : Toronto

        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

        Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

        ",,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-03T16:36:07.613Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343703232-gbm-trade-floor-technology-consultant-full-stack-developer-summer-2025-12-or-16-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,draft,2024-09-26T16:30:04.814Z,import-xml-feed:Scotiabank,,,,,,, -7eb3a970-6859-4795-b9e7-b8373601b658,344287954,Scotiabank,Technical Product Owner,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.301Z,"

        +
        +
        +

        Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

        +

        Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

        +

        If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

        +

        Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

        +

        To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

        +
        +
        ",,https://www.google.com/about/careers/applications/jobs/results/142571944791679686-software-developer-iii-xr-data-perception-systems?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-02T08:34:02.104Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344787036-software-developer-iii-xr-data-perception-systems-at-google,,draft,2024-10-03T08:34:02.096Z,import-xml-feed:Google-Job-Feed,,,,,,, +c024e8f6-d8fd-40ae-85e9-b7578be75ba1,343706881,KPMG,"Senior Manager, Forensic - Class Action and Proactive Remediation",on_site,"Toronto, Canada",2024-09-26T16:34:02.885Z,"Overview

        At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

        The Forensic practice is interested in hiring a Senior Manager to join its forensic data analytics (“FDA”) team. The FDA team performs data analytics to provide litigation support, the quantification of damages, and investigations into fraud and other inappropriate actions. Our team also performs data analytics for external audit, internal audit and as well as for other consulting engagements.

        This position is available to a candidate with minimum 10 years professional experience who is interested in continuing a career in forensic data analytics, specifically in supporting class actions and proactive remediation mandates where data and data calculations are a key focal point (e.g. analysis of large volumes of data to identify potential harmed individuals, calculation of damages/remediation related to these individuals, validation of calculations performed by clients and/or third-parties against defined logic/requirements, identification of limitations and quantify the impact of assumptions on the calculations, and preparation of expert reports to be submitted as part of litigation or regulatory submission). The candidate may from time to time assist the Forensic practice in data analysis in other areas such as in investigations (e.g. identify patterns and high-risk transactions, and asset tracing).


        What you will do

          +
        • Leading engagement teams and working to translate data requirements into data analytics routines.
        • +
        • The candidate will often be responsible for managing several engagements at one time.
        • +
        • Establishing and monitoring project budgets, ensuring timely billing and collections, etc. Assisting the Partners in new client evaluation, engagement acceptance and related risk management practices.
        • +
        • Preparation of written reports summarizing our procedures and findings. Preparing file documentation and ensuring appropriate document management.
        • +
        • Reviewing and/or developing scripts and workflows to assist with data extraction, queries, and data manipulation in accordance with business requirements.
        • +
        • Actively participating in marketing and business development at a Senior Manager level, this will include developing your professional network, attending networking events, writing articles, preparing and delivering presentations and other activities to raise your profile within the business community.
        • +

        What you bring to the role

          +
        • Minimum of 10 years of relevant professional experience, including 6 years of experience with data extraction, analysis, cleansing, quality and manipulation skills, and experience handling very large volumes of data, and a minimum of 5 years of managing class action and/or proactive remediation teams.
        • +
        • Experience in accounting and/or financial markets. A CPA designation is highly recommended but not obligatory.
        • +
        • Expert knowledge of the following tools: Alteryx, Tableau, MS Power BI, SQL, Python, ACL/IDEA
        • +
        • Demonstrated experience in managing multiple engagements simultaneously, setting project timelines, allocating resources efficiently, ensuring timely delivery of high-quality work while managing internal and external stakeholders’ expectations.
        • +
        • Subject matter expertise in class actions and/or proactive remediation.
        • +
        • Proven record of business development skills, including developing and maintaining long-term relationships across a network of existing and potential clients to maximise opportunities.
        • +
        • Excellent ability to communicate and present complex technical findings in a clear and concise manner concise anner tailored for audiences without a technical background or understanding of data analytics processes.
        • +

        Providing you with the support you need to be at your best

        For more information about KPMG in Canada’s Benefits and well-being, click here.


        Our Values, The KPMG Way

        Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

        KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

        Adjustments and accommodations throughout the recruitment process

        At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

        To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

        For information about accessible employment at KPMG, please visit our accessibility page.

        ",,https://careers.kpmg.ca/professionals/jobs/24488?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-07T16:40:03.322Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706881-senior-manager-forensic-class-action-and-proactive-remediation-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24488?lang=en-us,draft,2024-09-26T16:34:02.885Z,import-xml-feed:KPMG-Job-Feed,,,,,,, +3d9e5b8c-d221-43d8-87d6-740e3fcd6896,344839842,Scotiabank,"Senior Manager, Risk and Regulatory Reporting",on_site,Canada : Ontario : Toronto,2024-10-03T16:31:05.115Z,"

        -

        Requisition ID: 207980

        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

        +

        Requisition ID: 208173

        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

        -

        Key Accountabilities

        -

        Technology Product Owner manages the Client Profitability and operations Pipeline for GBM business lines globally. The team designs and implement the most appropriate workflows & processes to facilitate efficient Sales operations, ensure adequate governance controls, and provide optimal integration solutions to meet immediate project requirements while supporting the long-term direction of the enterprise.

        -

        -

        This is done by supporting the following overall objectives:

        -

        -
        • Develop and promote strategies, roadmaps, architectural guidelines, standards and best practices for the evolving enterprise information management practice.
        • Data governance, standards, criteria, and practices
        • Work with business users to obtain data requirements and analyze source systems data.
        • Analysis of source systems data (structured and un-structured) and business requirements
        • Ensure compliance to Enterprise Data Office guidelines, best practices, Enterprise Security guidelines, policies.
        • Work closely with the technical and application architects, and developers to implement the solution architecture.
        • Communicate with business stakeholders to maintain regulatory policies and sales operations.
        • Document business flows, design efficient processes, change management, on-going operations.
        • Maintain technical & business metadata.
        • -
        -

        -

        -

        Functional Competencies:

        -

        -
        • Experience with CRM systems and client analytics or pricing tools.
        • Strong knowledge of financial products & Client P&L reporting
        • Experience with BI tools (e.g., Tableau, Power BI) and data modeling.
        • Ability to translate business needs into technical solutions. Strong Analytical skills.
        • Experience creating architecture and strategy artifacts.
        • Experience of XML, JSON, CSV files ingestion + Streaming Data
        • Strong Domain Knowledge in financial Services and enterprise functions
        • Strong project management and team leadership skills
        • Experience working in Agile environment.
        • Knowledge of Data Governance process for metadata and lineage management
        • -
        -

        -

        Educational Requirements:

        -
        • Bachelor’s Degree, or diploma in computer engineering or information science
        • +

          The candidate contributes to the delivery of key risk information and data analytics for the Global Risk Management – Business Banking. He/she plays an active role in the deployment of technology solutions that enhance the effectiveness of risk management. He/she partners with colleagues in GRM and IT&S, in addition to other Bank stakeholders, to assist with the deployment of multi-disciplinary, complex solutions that align with GRM’s strategic priorities.

          +

          +

          The candidate works with a team of risk reporting specialists that produce daily, weekly, monthly, quarterly, and annual risk management/portfolio reporting for senior management and regulatory reporting for OSFI & Bank of Canada. The candidate will focus on designing, developing, and implementing solutions for GRM in areas of reporting, analytics, and other risk initiatives.

          +

          +

          The candidate will work closely with the business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate’s activities include requirement analysis, data analysis, solution design and documentation, and leading system enhancement development and implementation. The individual must thrive on challenge, be proactive and dynamic, demonstrate initiative and sound judgement, team leader, be eager to learn, and be customer focused.

          +

          +

          +

          Is this role right for you? In this role, you will:

          +
          1. +Work with the Director and the leadership team to develop strategic opportunities for the design, development and implementation of new solutions or enhancements to existing applications by:
          2. Able to analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate root causes/drivers. Support the “story-telling” to ensure insights are delivered in a meaningful and relevant manner to key partners and stakeholders.
          3. Recommends solutions and takes a design focus when planning end-to-end build of processes and/or programs (based on business needs), ensuring compliance with Business Intelligence framework and methodology.
          4. Oversee testing enhancements / changes to existing data sources and identifying, monitoring, and communicating data quality issues.
          5. +Responsible for the development and production of monthly and quarterly senior management risk reports, and regulatory reports.
            • Summarize and describe changes in the Bank’s credit risk globally for internal and external stakeholders.
            • Assist in preparation of the GRM quarterly report to the Board of Directors and Briefing Binder Report used by the Executive Management.
          6. Participate in the identification, assessment, measurement, and monitoring of complex, cross-enterprise risks, and communicating these to Executives and the Board of Directors.
          7. Effectively determine, allocate and manage resources among multiple projects/deliverables.
          8. Effectively communicating with GRM, IT&S, Regulators (OSFI & BoC), Finance, Audit, Retail, Credit and Banking groups.
          9. +
          +

          +

          +

          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

          +
          • A minimum of five or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.
          • The incumbent must have experience and knowledge of complex data models, programming, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:
          • Ability to lead multiple projects, coordinate activities with various stakeholders in a timely, organized manner.
          • Ability to facilitate meetings and action plans.
          • Deep data mining and technical skills and experience translating data into consumable messages.
          • Working with large amounts of data from a variety of different sources.
          • Superior skills in business analysis and drafting functional specifications leading to the completion of complex functional specifications or External Design Documents.
          • Be innovative in devising solutions that will streamline processes and improve effectiveness.
          • knowledge of project and process management disciplines.
          • Strong verbal and written communication and presentation skills
          • Ability to influence and secure co-operation \ assistance from other departments.
          • Experience effectively working in a global matrix team, across a range of functions, seniority, and geography.
          • A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
          • Accountable for end-to-end delivery – leads team in the design, development, maintenance, and management of reporting solutions.
          • Specialized depth of knowledge in programming to leverage tools and methods to provide solutions to complex questions from the business; works with a lot of ambiguity.
          • A strong knowledge of the Bank's policies & processes, technical platform applications and financial information systems would be an asset.
          • Experience with SQL and Power BI is preferred.
          • Experience with data analysis and Business Intelligence tools is a definite asset.
          • Advanced graduate university degree (typically in mathematics, business administration, technology, statistics or equivalent). Previous Banking and/or Credit experince is desireable. CFA, FRM designation an asset. Previous Banking and/or Credit experince is desireable.    
          -

          -

          What's in it for you?

          -
          • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
          • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
          • Remote-friendly work environment will provide you with the flexibility to perform at your best.
          • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
          • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
          • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
          • +

            +

            What's in it for you?

            +
            • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers
            • A rewarding career path with diverse opportunities for professional development
            • Internal training to support your growth and enhance your skills
            • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
            • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more
            • Hybrid Work Environment
            +

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

        ",,https://jobs.scotiabank.com/job/Toronto-Technical-Product-Owner-ON-M5H4A6/585020417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287954-technical-product-owner-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Technical-Product-Owner-ON-M5H4A6/585020417/,draft,2024-09-30T16:30:03.301Z,import-xml-feed:Scotiabank,,,,,,, -8b4a0ee8-c494-4061-8f49-e66305539db0,344117013,Vector Institute,Data Integration Specialist,on_site,"Ontario, Canada",2024-09-29T08:47:02.239Z,"

        DATA INTEGRATION SPECIALIST

        -

        -

        POSITION SUMMARY

        -

        Reporting to the Systems Operations Manager, the Data Integration Specialist is responsible for designing and implementing data integrations and optimizations across various business systems, automating workflows, and establishing a data warehouse and business analytics environment. This role collaborates closely with the Business Analyst, project managers and business users to identify and define integration requirements. The Data Integration Specialist will partner with the Technology team to develop the organization’s data architecture, reporting, and analytics environment, while selecting and implementing data management tools and platforms. This position plays a key role in supporting our user community and shaping Vector’s system’s strategy and business analytics environment.

        -


        -

        KEY RESPONSIBILITIES

        -
          -
        • Works with various business units to identify, map, document and implement optimization solutions.
        • -
        • Define and develop data integration processes between core business systems.
        • -
        • Recommend, create and optimize automated workflows using a combination of application specific tools and 3rd party integration tools that you will help select.
        • -
        • Apply basic coding and ETL scripting concepts and languages to develop and maintain data integration processes.
        • -
        • Design and implement a data warehouse to effectively store and manage the organization’s data.
        • -
        • Develop data extraction processes to pull data from the organization\'s business systems to its data warehouse.
        • -
        • Establish a business analytics environment to facilitate data-driven decision-making across the organization.
        • -
        • Identify and address data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability.
        • -
        • Support and enforce data privacy and security protocols by analyzing underlying causes of problems and ensuring system and data integrity.
        • -
        • Coordinate with other technical staff to develop databases as required.
        • -
        • Recommend, develop, and implement process tools to ensure quality, integrity and security of data.
        • -
        • Evaluate and select appropriate systems, tools, and services to build and maintain the organization\'s data management processes and environment.
        • -
        -


        -

        KEY SUCCESS MEASURES

        -
          -
        • Workflows and processes across Vector are automated and optimized as is appropriate.
        • -
        • Effective selection and use of data integration methods including ETL (Extract, Transform, Load), data warehousing, and API integration.
        • -
        • Ensure data consistency, accuracy, currency and flow.
        • -
        • -Foster active communication and engagement with internal and external stakeholders to ensure alignment on data integration initiatives.


          -
        • -
        -

        PROFILE OF THE IDEAL CANDIDATE

        -
          -
        • A degree or diploma in computer science or engineering, or equivalent knowledge obtained through work experience.
        • -
        • A minimum of 3 years professional experience implementing data integrations and developing workflow automations in a similar or related role.
        • -
        • Proficient technical knowledge of current database software, protocols, and standards.
        • -
        • Understanding APIs, Web Services, and Microservices: this technical expertise allows for the creation of connectors and adapters necessary for integrating disparate systems.
        • -
        • Skills in relevant scripting and programming language to enable the customization and automation of integration processes.
        • -
        • Proven communication skills, problem-solving skills, and knowledge of integration best practices.
        • -
        • Salesforce experience is highly advantageous.
        • -
        • Familiarity with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
        • -
        • Experience with a range of integration and data management tools and platforms.
        • -
        -


        -

        At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

        -

        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=506678&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-21T08:51:39.175Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344117013-data-integration-specialist-at-vector-institute,,draft,2024-09-29T08:47:02.239Z,import-xml-feed:Vector-Institute-Job,,,,,,, +

        Location(s): Canada : Ontario : Toronto

        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Risk-and-Regulatory-Reporting-ON-M5H1H1/585164317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/344839842-senior-manager-risk-and-regulatory-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Risk-and-Regulatory-Reporting-ON-M5H1H1/585164317/,draft,2024-10-03T16:31:05.115Z,import-xml-feed:Scotiabank,,,,,,, 2e989036-94e4-4047-89aa-4e2ff6af4025,343661524,Accenture,Salesforce Marketing and Data Cloud Senior Developer,on_site,"Toronto, ON, Canada",2024-09-26T08:44:03.434Z,"

        Job Description

        @@ -18540,159 +19836,475 @@ daa7a0d7-ce9d-40d5-a957-401888b23c25,344243206,Accenture,Python Automation Devel
        ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00238825_en&title=Python%20Automation%20Developer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-03T08:49:02.450Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/344243206-python-automation-developer-at-accenture,,draft,2024-09-30T08:44:01.995Z,import-xml-feed:Accenture-Job-Feed,,,,,,, -b686709f-5927-4998-b295-22749d60988f,343569016,BELL CANADA,2025 Graduate Program- Human Resources,on_site,"Toronto, Ontario, Canada",2024-09-25T21:25:03.284Z,"

         ​Req Id: 420036


        At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

         

        We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


        Join us. You belong at Bell. 

         

        Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

         

        At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

         

        -
        -
        -

        Why join us?

        +b879c57c-42e6-4de6-ab3a-0368f2aeaf03,344242844,Google,"Technical Sales Specialist II, Startups, Google Cloud",on_site,"Toronto, ON, Canada",2024-09-30T08:34:02.368Z,"
        +
        +

        Technical Sales Specialist II, Startups, Google Cloud

        +
        +
        +
        +
        +share
        -
          -
        • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
        • -
        • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more.
        • -
        • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
        • -
        • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
        • -
        • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
        • +
            +
          • +linkCopy link +
          • +
          • +emailEmail a friend +
          -
          -
          -

          What you'll do

          +
        +
        +
        +corporate_fareGoogleplaceToronto, ON, Canada; Ottawa, ON, Canada
        +
        +
        +
        +bar_chartMid +
        +
        +

        Mid

        +
        Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
        +
        +
        +
        +
        +Apply
        +
        +
        -

        Joining the Bell Human Resources team means getting up-close and personal with the talent that is transforming Bell. The unique opportunity embedded in this team will mean learning from experienced professionals and contributing to building a talent advantage. You’ll gain exposure to different HR functions through real-business projects, developing the skills needed to become future Bell HR leaders who make a lasting impact.

        -

        Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience needed to become the next generation of HR leaders at Bell. To provide the ideal career path for you, rotational job experiences will be assigned based on preferences, skills, development opportunities, and business needs

        +
        +
        +share +
        +
          +
        • +linkCopy link +
        • +
        • +emailEmail a friend +
        • +
        +
        -
        -
        -

        What we're looking for

        +
        +
        +
        +
        info_outline
        +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Ottawa, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Ottawa, ON, Canada. +
        + +
        +

        Minimum qualifications:

        +
          +
        • Bachelor\'s degree or equivalent practical experience.
        • +
        • 6 years of experience with cloud native architecture in a customer-facing or support role.
          +
        • +
        • Experience with cloud developers, on-premise developers, virtualization, or containerization platforms.
          +
        • +
        +

        Preferred qualifications:

        +
          +
        • Experience in migrating applications and services to cloud platforms.
          +
        • +
        • Experience with security concepts such as encryption, identity management, access control, attack vectors, and pen testing.
          +
        • +
        • Experience working with, and passion for, the startup ecosystem.
          +
        • +
        • Experience prospecting, and building and maintaining new customer relationships from scratch, with excitement for building out Greenfield territories.
          +
        • +
        +
        +
        +

        About the job

        +

        When leading companies choose Google Cloud, it\'s a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

        +

        As a Technical Sales Specialist, you will partner with technical Sales teams to differentiate Google Cloud to our customers across the startup ecosystem. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will understand customers\' business and technical requirements, and persuasively present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

        You will focus on customer opportunities as a technical generalist, spanning infrastructure modernization, application modernization, data analytics and more. You will be passionate about building new relationships, with experience in prospecting and building out greenfield territories.

        You will be a part of a diverse team working in an environment of respect and inclusion where we promote equal opportunities to succeed.

        +

        Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

        +
        +
        +

        Responsibilities

        +
          +
        • +Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
          +
        • +
        • +Share Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partner direct with product management to prioritize solutions impacting customer adoption to Google Cloud.
          +
        • +
        • Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
          +
        • +
        • +Identify integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.
          +
        • +
        • Lead prospect and acquisition of new logos, creating and building customer relationships from scratch, and establish yourself as a trust advisor on their long-term technology and business decisions.
          +
        • +
        +
        +
        +

        Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

        +

        Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

        +

        If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

        +

        Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

        +

        To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

        +
        +
        ",,https://www.google.com/about/careers/applications/jobs/results/142213223049765574-technical-sales-specialist-ii-startups-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-07T08:39:04.842Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344242844-technical-sales-specialist-ii-startups-google-cloud-at-google,,draft,2024-09-30T08:34:02.368Z,import-xml-feed:Google-Job-Feed,,,,,,, +6b1b33f3-0687-45cc-abb1-ed3003186425,344243746,Roche,Medical Affairs Partner,on_site,"Ontario, Canada",2024-09-30T08:58:02.523Z,"
        +

        Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

        +

        +

        +

        The Position

        +

        Un avenir plus sain. C\'est ce qui nous pousse à innover. À faire progresser continuellement la science et à garantir à tous l\'accès aux soins de santé dont ils ont besoin aujourd\'hui et pour les générations à venir. Créer un monde où nous avons tous plus de temps avec les personnes que nous aimons. C\'est ce qui fait de nous Roche.

        +

        +

        Nous recherchons des personnes qui apportent des expériences diverses pour nous aider à développer nos capacités chez Roche et faire une différence collective pour les patients. Notre système de santé externe devient de plus en plus complexe, et nous visons à aller au-delà de nos médicaments pour relever les défis auxquels les patients et les aidants sont confrontés au quotidien. En tant que partenaire des affaires médicales, vous jouerez un rôle essentiel en exploitant votre expertise scientifique pour intégrer ces solutions dans le système de santé, tant pour les besoins présents que futurs.

        +

        +

        L\'opportunité :

        +
          +
        • Développer et appliquer une expertise scientifique pour faire progresser la pratique clinique

        • +
        • Établir et maintenir un réseau de contacts pour maximiser le potentiel et donner la priorité à l\'impact sur les patients

        • +
        • Intégrer de manière stratégique les connaissances et les données de l\'écosystème de santé pour prioriser les activités afin d\'obtenir le plus grand impact sur les patients

        • +
        • Favoriser une culture de confiance, d\'autonomisation et de leadership partagé grâce au coaching et au mentorat entre pairs

        • +
        • Collaborer avec les parties prenantes externes pour co-créer des solutions visant à améliorer les soins aux patients

        • +
        • Apprendre et se développer en continu grâce à des retours transparents et productifs tout en fournissant une excellence opérationnelle et en respectant les normes de conformité, d\'éthique et de sécurité, et évoluer de manière autonome en donnant et en recevant des retours transparents et productifs

        • +
        • Faire preuve d\'excellence opérationnelle et agir en tant que garant de normes élevées en matière de conformité, d\'éthique et de sécurité

        • +
        +

        +

        Qui vous êtes :

        +
          +
        • Vous détenez un diplôme universitaire dans un programme basé sur les sciences (PhD, MSc, MD, Pharm D, biomédical, etc.) et/ou une expérience pertinente dans les sciences de la vie ou le secteur des soins de santé.

        • +
        • Vous avez plus de 7 ans d\'expérience dans les sciences de la vie ou le secteur des soins de santé, y compris des connaissances cliniques ou thérapeutiques en oncologie.

        • +
        • Vous avez de l\'expérience dans les principes et les techniques d\'analyse critique des données, d\'analyse statistique, d\'interprétation et d\'évaluation de la pertinence clinique dans le but de comprendre et de communiquer des concepts scientifiques et des résultats d\'études.

        • +
        • Dans ce poste, vous serez en contact avec des clients en majorité au Québec et en atlantique, il est donc nécessaire de maîtriser l\'anglais de manière courante et le français est requis.

        • +
        • Vous êtes situé au Québec, de préférence à Montréal. Vous avez la capacité de voyager en fonction des besoins de l\'entreprise. Cela peut varier de déplacements limités jusqu\'à 40%.

        • +
        +

        +

        Atouts:

        +
          +
        • Vous avez une bonne compréhension de l\'environnement pharmaceutique et du système de santé, des codes de l\'industrie (par exemple, IMC), des réglementations pertinentes (par exemple, BPC, PV) et du développement d\'actifs (médicaments, dispositifs, etc.).

        • +
        • Vous avez la capacité de communiquer avec impact et empathie tout en privilégiant une réflexion systémique et stratégique et vous êtes un négociateur influent et habile capable de nouer des relations solides et de travailler en réseau tout en recherchant une excellence opérationnelle grâce à une gestion de projet et une priorisation habile.

        • +
        +

        +

        Les avantages de la relocalisation ne sont pas disponibles pour cette offre d\'emploi.

        +

        +

        +

        ***

        +

        +

        A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

        +

        +

        We are seeking individuals who bring diverse experiences to help us grow our capabilities at Roche and make a collective difference for patients. Our external healthcare system is becoming increasingly complex, and we aim to go beyond our medicines to address the challenges faced by patients and caregivers on a daily basis. As a Medical Affairs Partner, you will play a critical role in leveraging your scientific expertise to integrate these solutions into the healthcare system for both present and future needs. If you\'re interested in learning more about what it means to be a Medical Affairs Partner, you can Click Here.

        +

        +

        The Opportunity:

        +
          +
        • Develop and apply scientific expertise to advance clinical practice

        • +
        • Establish and maintain network connections to maximize potential and prioritize patient impact

        • +
        • Integrate insights and data from the healthcare ecosystem strategically to prioritize activities to achieve the highest patient impact

        • +
        • Foster a culture of trust, empowerment, and shared leadership through peer-to-peer coaching and mentorship

        • +
        • Collaborate with external stakeholders to co-create solutions for improved patient care

        • +
        • Continuously learn and grow through transparent and productive feedback while delivering on executional excellence and upholding compliance, ethics, and safety standards and grow in a self-directed way by giving and receiving transparent & productive feedback

        • +
        • Deliver on executional excellence and act as a guardian for high standards of compliance, ethics, and safety

        • +
        +

        +

        Who you are:

        +
          +
        • You hold a university Degree in a Science Based Program (PhD, MSc,MD, Pharm D, Biomedical, allied Health) and/or relevant experience in life sciences or health care system sector.

        • +
        • You have 7+ years’ of experience in the life sciences or health care system sector including clinical or therapeutic knowledge of Oncology.

        • +
        • You have experience in principles and techniques of critical data analysis, statistical analysis, interpretation, and assessment of clinical relevance for the purpose of understanding and communicating scientific concepts and study results.

        • +
        • In this position, you will be servicing customers with a focus on Quebec and Atlantic, therefore a proficient level of English is required and French is required.

        • +
        • You have the ability to travel depending on the business need. May vary from limited travel to up to 40%. You are located in Quebec, preferably in Montreal.

        • +
        +

        +

        Preferred

        +
          +
        • You have a good understanding of the pharma, health care system environment, industry codes (eg. IMC), relevant regulations (eg. GCP, PV) and the development of assets (drugs, devices, etc.).

        • +
        • You have the ability to communicate with impact and empathy while focusing on Systems & Strategic Enterprise thinking and are a skilled influencer & negotiator with the ability to build strong relationships and work across networks while striving for executional excellence through skillful project management and prioritization.

        • +
        +

        +

        Relocation benefits are not available for this job posting.

        +

        +

        Who we are

        +

        At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

        +

        +

        Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

        +

        +

        As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

        +
        +

        +

        Roche is an Equal Opportunity Employer.

        +
        +
        ",,https://careers.roche.com/global/en/job/202409-122489/Medical-Affairs-Partner,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243746-medical-affairs-partner-at-roche,,draft,2024-09-30T08:58:02.523Z,import-xml-feed:Selenium-Scraper,,,,,,, +b80af522-7f9c-452b-b969-5608ee3ddaf8,344243750,OMERS,Community Manager - 13 Month Contract,on_site,"Ontario, Canada",2024-09-30T08:58:02.805Z,"
        +

        Choose a workplace that empowers your impact.

        +

        Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

        +

        +

        We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

        +

        +

        Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

        +

        +

        Don’t just work anywhere — come build tomorrow together with us.

        +

        +

        Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

        +

        +

        +
        +

        Being a passionate and experienced customer service champion, as the Community Manager, you will partner with property teams to deliver building events and programs geared toward maximizing the sense of community.  Always innovating and identifying compelling place making activities, you will influence positive customer experiences every day.

        You will be a key member of an engaged, high performing team — part of a world-class, winning culture that prioritizes people development and focuses on long-term growth. We take great pride in leading the industry by earning respect through every interaction, every day. We go above and beyond to protect and grow relationships by anticipating needs, being honest and considerate, and valuing customers as genuine partners.

        +
        +

        +

        As a member of this team, you will be responsible for:

        +
        +

        Program Innovation and Event Delivery

        +
        • Elevate the Customer experience for all occupants of Oxford\'s office buildings within Toronto

        +
        • Research and apply best in class hospitality level of engagement to differentiate the Oxford experience for our customers in Office.

        +
        • Leverage scale of portfolio and regional budget to develop and deploy city-wide on-premises and virtual events to engage and develop community, including the creation and delivery of events hosted on our digital platform

        +
        • Liaise with key customer contacts to collaborate and develop effective occupant engagement

        +
        • Strategize, create, source and negotiate partnerships that drive engagement and potential revenue through lobby and onsite engagements at our properties.  Partner with other internal Oxford teams to maximize vision and efficacy across asset classes. Partner with retail customers and neighboring businesses to deliver unique customer experiences

        +
        • Leverage Retail Promo Fund(s) to specifically develop promotions/programs targeted at driving sales/promotion/engagement to our retail customers

        +
        • Manage Not for Profit / Charitable relationships, programs, and activations

        +
        • Ensure site teams have necessary training and resources to execute programs

        +
        • Leverage onsite amenities, retailers, and alternate programs to drive customer engagement across entire occupant population

        +
        • Be a resource to our retail customers to offer expertise to drive further alignment and partnership

        +
        +

        +

        Research and Analytics

        +
        • Create frictionless feedback opportunities for customers to continuously improve, refine, recreate engagements with customers

        +
        • Participate in the collation, analysis and understanding of data around event participation and effectiveness, including as it relates to our ESG (Environmental, Social and Governance) priorities

        +
        • Track budget on a monthly / quarterly basis for region and properties

        +
        • Provide analysis on effectiveness, ROI, and recommendations

        -

        With our Grad Program you will build your Human Resource knowledge through a total of 6 rotations and real, business-related projects, which may include roles within:

        +

        +

        Marketing, Branding and Public Relations

        +
        +
        • In partnership with corporate and site partners, establish initiatives that will maximize exposure within budget parameters

        +
        +
        +
        • Collaborate with site teams to ensure property engagement collaterals are up to date reflecting community building initiatives, providing communication and event templates across all properties

        +
        • Coordinate with local groups, including Business Improvement Associations and media, to ensure regular and broad exposure, leveraging all opportunities for positive promotion

        +
        +

        +

        To succeed in this role, you:

        +
        +
        • Post-secondary degree with a Marketing (Advertising/Public Relations), Communications, or Business major

        +
        • Minimum of 5 years of combined experience in marketing, communications and/or customer service; shopping center marketing is an asset

        +
        • Minimum 2 years of project management experience

        +
        • Outstanding time management and organization skills; able to handle multiple priorities

        +
        • Excellent written and verbal communication skills, including the ability to communicate internally and externally and with all levels of management with professionalism, courtesy, and credibility

        +
        • Proficient in all Microsoft Office Programs, Asana and Adobe Creative Suite.

        +
        • Ability to develop creative, engaging, and original content and displays

        +
        • Strong analytical and problem-solving skills

        +
        • Knowledge of search engine optimization (SEO) and web metrics

        +
        • Ability to work to deadlines and stay calm in a pressured environment

        +
        • Highly motivated with a positive can-do attitude

        +
        • Cross-functional team player

        +
        • Proficient in budget and event management

        +
        • Some weekend and evening shifts may be required

        +
        +

        +

        +

        Oxford\'s purpose is to strengthen economies and communities through real estate.

        +

        Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

        +

        +

        From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Community-Manager---13-Month-Contract_JR-6561-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-30T08:58:02.805Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344243750-community-manager-13-month-contract-at-omers,,draft,2024-09-30T08:58:02.805Z,import-xml-feed:Selenium-Scraper,,,,,,, +4606b8b0-52b1-4cfd-a065-787a03e905ce,344240808,BMO Financial Group,"Manager, Customer Contact Optimization Analytics and Insights",on_site,"Ontario, Canada",2024-09-30T08:18:01.925Z,"
        +

        Application Deadline:

        10/14/2024

        +

        +

        Address:

        250 Yonge Street

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        +

        +

        As a manager in the bank’s omni-channel customer communication team, you will be part of a team that transforms the banking experience and drive revenue growth. In this role you will be change agent and responsible for delivering insights on omni-channel marketing programs to drive incremental revenue.

        +

        +

        The ideal candidate will possess a unique blend of data and storytelling experience, passion for driving the business forward, and a big-picture vision for the future of targeted customer conversations. This role involves collaboration with marketing groups, business partners, product management, and data analytics professionals within the organization.

        +


        What you will be doing:

        +

        +

        Provide analytical insights and thought leadership to drive incremental revenue:

        +
          +
        • Understands and articulates the business case of business questions and the estimated value being delivered.

        • +
        • Accountable to deliver analytics, insights and reporting in line with both immediate and long-term business objectives

        • +
        • Conduct optimization or trade-off analysis between programs and channels
        • +
        • Contribute to the delivery of reports and presentations that evaluate and analyze the effectiveness of programs and initiatives
        • +
        • Develop and maintain ongoing dashboards to support the business, use appropriate visualization and analytic tools
        • +
        +

        +

        Data Engineering:

        +
          +
        • Comfortable with building fully automated user managed tables that drive automated dashboard reporting
        • +
        • Work with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytic solutions and decision support tools
        • +
        +

        +

        Campaign Execution:

        +
          +
        • Translate business and technical specifications to develop customer communication programs, product/services and channel enhancements/integration points
        • +
        • Proactively identify opportunities to improve execution efficiency and accuracy
        • +
        +

        +

        What we are looking for:

          -
        • Talent Acquisition
        • -
        • Organizational Development
        • -
        • Compensation
        • -
        • Mental Health and workplace practices
        • -
        • Project Management
        • -
        • Analytics and reporting
        • -
        • Employee and Executive services
        • -
        • Human Resources or Labour Relations business unit support
        • +
        • You are comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
        • +
        • You\'re highly proactive and driven by collective success.
        • +
        • You enjoy uncertainty and ambiguity and working in agile fashion
        • +
        • You seek out innovation solutions and embrace evolving technologies
        • +
        • You thrive when you are empowered to take the lead, go above and beyond and deliver on results
        -
        -
        -
        -
        -

        Requirements

        -
        -
          -
        • You have a Bachelor’s degree or college diploma in Human Resource Management, Industrial Relations, Business Management programs or related field completed before the program start date.
        • -
        • You must have flexibility to work in different locations within Montreal and the Greater Toronto Area.
        • -
        -
        -
        -
        -

        Leadership Skills

        -
        -
          -
        • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
        • -
        • You gain the trust of your teams, being known for demonstrating fairness and respect.
        • -
        • You promote belonging and are flexible, accountable and collaborative.
        • -
        • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
        • -
        • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
        • -
        • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team.
        • -
        • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
        • -
        • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
        • -
        • You are committed to growing your skills and learning from others.
        • -
        • Your leadership qualities have been demonstrated through extracurricular activities and projects.
        • -
        -
        -
        -
        -

        Applying is simple

        -
        -
        -

        Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

        -
          -
        1. Review our programs and indicate up to three role choices in your application.
        2. -
        3. Complete your video interview within 48 hours.
        4. -
        5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
        6. -
        7. If selected from previous step, you will be invited to a virtual panel interview.
        8. -
        -

        Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

        -

         

        -

        Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

        -
        -
        -

        #EmployeeReferralProgram

         

        Adequate knowledge of French is required for positions in Quebec.

         

        Additional Information:
        Position Type: Management 
        Job Status: Grad Hire 
        Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal 
        Work Arrangement: Hybrid
        Application Deadline: 11/03/2024

         

        For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

         

        Please apply directly online to be considered for this role.  Applications through email will not be accepted.

         

        We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

         

        We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

         

        We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
         

        Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

         

        Created: Canada, ON, Mississauga

         

        Bell, one of Canada's Top 100 Employers.

        #CampusHR24

        ",,https://jobs.bell.ca/ca/en/job/BECACA420036EXTERNALENCA/2025-Graduate-Program-Human-Resources?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.293Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569016-2025-graduate-program-human-resources-at-bell-canada,BECACA420036EXTERNALENCA,draft,2024-09-25T21:25:03.284Z,import-xml-feed:Bell-Canada,,,,,,, -960f2a84-3088-4d8c-a8c5-ea4e451eb8ca,345182866,BELL CANADA,2025 Internship Program- Technology Product Management,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:03.169Z,"

         ​Req Id: 420041


        At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

         

        We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


        Join us. You belong at Bell. 

         

        Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

         

        At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

         

        -
        -
        -

        -
        -
        -

        This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.
         

        -

        Why Join Us?

        +

        +

        The ideal candidate will have the following experience and skills:

        +

        +

        Knowledge:

        +
        • Solid working knowledge with statistical/data analysis tools, including SAS, SQL, R, Python
          -
        • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
        • -
        • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
        • -
        • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
        • -
        • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
        • -
        • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
        • -
        • Develop your technical and leadership skills through formal and experiential training programs.
        • -
        • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
        • +
        • Work experience to create effective visualizations, reports and dashboards such as Tableau, Power BI, SAS Visual Studio, R
        • +
        • Strong grasp of Marketing and Business KPIs across physical and digital channels
        • +
        • Strong business acumen and ability to consider customer experience, employee experience and revenue generation in all aspects of their decision-making
        • +
        • Familiarity with programmatic marketing principles and associated technology
        -
        -
        -
        -
        -

        -
        -
        -

        What you’ll do
        Customers are at the centre of Bell’s technology transformation. Embedded in the team, you will have the opportunity to support customer-centric products that impact how people and businesses connect, work and learn. Interns will work together with teams across the spectrum to deliver exceptional experiences through cost-effective project management. 
        Some of your day-to-day responsibilities might include supporting innovation and product lifecycle projects, and more. You will bring fresh perspectives to the team and our clients through competitive benchmarking, analysis and business planning.

        -

         

        -

         

        -

        What we’re looking for 

        -

        Within our Technology Product Managment function, we have several opportunities available. For more details on each of the below roles, click here.  

        +

        +

        Skills:

          -
        • Technical Product Manager
        • -
        • Technical Sales Specialist
        • -
        • Technology Intern
        • +
        • Motivated, hardworking individual with a genuine curiosity in data, analytics and marketing
        • +
        • Well-developed oral and written communication skills, including the ability to simplify complex content into business language
        • +
        • Ability to multi-task and think creatively in a rapidly changing environment with competing priorities, and proactively drive business outcomes
        • +
        • Analytical and problem-solving skills – ability to identify relevant information and define root issues, ability to interpret data and package insights in clear, concise stories for diverse audiences to drive change
        • +
        • Working ability to manage ambiguous, complex requirements with innovative and creative thinking
        • +
        • Numerate and comfortable with financial calculations and building business cases
        • +
        • Exercises judgment to identify, diagnose, and solve problems within given rules.
        • +
        • Works independently and regularly handles non-routine situations.
        -

         

        -

        Requirements
        You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

         

        -

        Technical Skills (you have some of the following)

        +


        +
          +

          +

          Foundational level of proficiency:

            -
          • You are familiar with project/program management principles, frameworks and tools (e.g. PMP) and can run effective meetings
          • -
          • You are experienced in lean/agile methods, processes and tools (e.g. JIRA, Kanban) and have knowledge of how to drive product lifecycles
          • -
          • You are tech savvy with a desire to keep up-to-date with the latest technology (including IT and cloud/GCP) and trends by monitoring competitors and market shifts
          • -
          • You have experience with SQL
          • +
          • Technical design optimization.
          • +
          • Decision Making.
          • +
          • Systems Thinking.
          -
          -
          -
          -
          -

          -
          -
          -

          Leadership skills

          +

          Intermediate level of proficiency:

            -
          • -You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers. -
          • -
          • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
          • -
          • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. You further have the ability to communicate with technical and nontechnical audiences. 
          • -
          • You gain the trust of your teams, being known for demonstrating fairness and respect.
          • -
          • You promote belonging and are flexible, accountable and collaborative.
          • -
          • You are committed to growing your skills and learning from others.
          • +
          • Data visualization.
          • +
          • Data storytelling.
          • +
          • Data mining.
          • +
          • Illustration.
          • +
          • Creative thinking.
          • +
          • Problem Solving.
          • +
          • Verbal & written communication skills.
          • +
          • Collaboration & team skills.
          • +
          • Analytical and problem solving skills.
          • +
          • Data driven decision making.
          -

           

          -

          Applying is simple
          Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

          -

          1. Review our programs and indicate up to three role choices in your application.
          2. Complete your video interview within 48 hours. 
          3. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
          4. If selected from previous step, you will be invited to a virtual panel interview.

          -

          Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.
           

          -

          Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.
           

          -
          -
          -

          #EmployeeReferralProgram #CampusProduct24

           

          Adequate knowledge of French is required for positions in Quebec.

           

          Additional Information:
          Position Type: Management 
          Job Status: Intern 
          Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Bedford || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
          Work Arrangement: Hybrid
          Application Deadline: 11/03/2024

           

          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

           

          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

           

          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

           

          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

           

          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
           

          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

           

          Created: Canada, ON, Toronto

           

          Bell, one of Canada's Top 100 Employers.

          ",,https://jobs.bell.ca/ca/en/job/BECACA420041EXTERNALENCA/2025-Internship-Program-Technology-Product-Management?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-04T21:25:03.175Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345182866-2025-internship-program-technology-product-management-at-bell-canada,BECACA420041EXTERNALENCA,draft,2024-10-05T21:25:03.169Z,import-xml-feed:Bell-Canada,,,,,,, +

          Advanced level of proficiency:

          +
            +
          • Insights design.
          • +
          • Insights development and reporting.
          • +
          +

          +

          Education / Work Experience:

          +
            +
          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • +
          • Strong analytical aptitude with 5+ years of work experience in data and analytics role
          • +
          • Deep knowledge and technical proficiency gained through extensive education and business experience.
          • +
          • An undergraduate/masters level background in an analytical discipline such as management analytics, statistics, mathematics, economics, computer science, engineering, or equivalent practical experience
          • +
          • Experience with people management and talent development
          • +
          • Work experience in Business Analytics, Marketing, Digital Marketing an asset
          • +
          +
          +

          +

          Salary:

          +
          $68,000.00 - $126,000.00

          +

          Pay Type:

          Salaried

          +

          The above represents BMO Financial Group’s pay range and type.

          +

          +

          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

          +

          +

          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

          +

          +

          +

          We’re here to help

          +

          +

          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

          +

          +

          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

          +

          +

          To find out more visit us at https://jobs.bmo.com/ca/en.

          +

          +

          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

          +

          +

          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Customer-Contact-Optimization-Analytics-and-Insights_R240025343-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T08:23:03.513Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344240808-manager-customer-contact-optimization-analytics-and-insights-at-bmo-financial-group,,draft,2024-09-30T08:18:01.925Z,import-xml-feed:BMO-Job-Feed,,,,,,, +65282841-fb6b-486c-9002-f1a9be895552,343703232,Scotiabank,GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months,on_site,Canada : Ontario : Toronto,2024-09-26T16:30:04.814Z,"

          +

          +

          +

          Requisition ID: 206613
          Employee Referral Program – Potential Reward:

          We are committed to investing in our employees and helping you continue your career at Scotiabank.

          +

          +

          GBM - Trade Floor Technology Consultant (Full Stack Developer) - Summer 2025 - 12 or 16 Months

          +

          +

          Term: 12 or 16 months

          +

          Start date: May 2025

          +

          Location: Toronto, Ontario, Canada

          +

          Application Deadline: 10/7/24

          +

          +

          There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

          +

          +

          Who we are:

          +

          Global Banking & Markets (GBM) provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange, and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

          +

          +

          Is this role right for you? In this role, you will:

          +

          As a Trade Floor Technology Consultant (Full Stack Developer), you will work on Scotiabank’s trade floor, providing full stack web development of applications and enhancement of web-based systems. As part of the Global Banking & Markets, Trade Floor Support & Automation team, you will analyze business processes, liaise with various groups within the bank, develop web-based systems, and design user interfaces to meet business needs. You will use state of the art web development technologies, including working with large datasets, bulk editing, advanced reporting, workflow notifications, APIs, web security, and intelligent prediction using analytics/machine learning.

          +

          +

          This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields. You will also get exposure to financial products, as well as leading edge trading technologies and applications such as Bloomberg.

          +

          +

          What’s in it for you?

          +

          This position offers individuals an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to capital markets and related fields.

          +
          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

          • Opportunity to get involved in the Scotiabank Co-op Social Committee and help plan events across Toronto.

          • Work in the heart of the Financial and Entertainment Districts in downtown Toronto.

          • Trade Floor Tours are available, offering a rare insight into modern financial analysis, trading, and sales.

          • On-site cafeteria and free refreshments available.

          • +
          +

          +

          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

          +
          • You are currently enrolled in post-secondary education.

          • You love to learn and envision yourself working for an international organization that heavily invests in your future.

          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

          • You possess effective programming and analytical skills. Familiarity and experience with full stack web development is preferred including:

          • +
          +
          • Front-end languages and frameworks (e.g. HTML, CSS, JavaScript, JQuery, Bootstrap, React, Vue.js)

          • Back-end languages (e.g. C#, ASP, Visual Basic, Python)

          • SQL and relational databases (e.g. Microsoft SQL Server or Microsoft Access)

          • You have good interpersonal and communication skills. These are essential, as you will be required to work in a team environment and communicate with various channels.

          • You are highly self-motivated, and able to work quickly in a dynamic, challenging, and fast-paced environment. The tools being built are constantly evolving and changing according to business needs and technological opportunities, and you will be encouraged to contribute ideas to the design and implementation of such tools as part of a collaborative process.

          • +
          +

          +

          How do I apply?

          +

          +

          Please complete all four steps below:

          +
          1. Complete your PLUM Profile here and save as a screenshot.
          2. Complete a short one-way video interview here.
          3. Complete a Codility Assessment here. There is 1 question on the Codility test: one arithmetic problem (using any of C, C++, C#, Java, Javascript, Python). Time limit to complete the assessment is 30 minutes.
          4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript.
          5. +
          +

          +

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

          +

          +

          +

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

          ",,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-03T16:36:07.613Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343703232-gbm-trade-floor-technology-consultant-full-stack-developer-summer-2025-12-or-16-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Trade-Floor-Technology-Consultant-%28Full-Stack-Developer%29-Summer-2025-12-or-16-Months-ON/584545317/,draft,2024-09-26T16:30:04.814Z,import-xml-feed:Scotiabank,,,,,,, +7eb3a970-6859-4795-b9e7-b8373601b658,344287954,Scotiabank,Technical Product Owner,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.301Z,"

          +

          +

          +

          +

          Requisition ID: 207980

          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

          +

          +

          Key Accountabilities

          +

          Technology Product Owner manages the Client Profitability and operations Pipeline for GBM business lines globally. The team designs and implement the most appropriate workflows & processes to facilitate efficient Sales operations, ensure adequate governance controls, and provide optimal integration solutions to meet immediate project requirements while supporting the long-term direction of the enterprise.

          +

          +

          This is done by supporting the following overall objectives:

          +

          +
          • Develop and promote strategies, roadmaps, architectural guidelines, standards and best practices for the evolving enterprise information management practice.
          • Data governance, standards, criteria, and practices
          • Work with business users to obtain data requirements and analyze source systems data.
          • Analysis of source systems data (structured and un-structured) and business requirements
          • Ensure compliance to Enterprise Data Office guidelines, best practices, Enterprise Security guidelines, policies.
          • Work closely with the technical and application architects, and developers to implement the solution architecture.
          • Communicate with business stakeholders to maintain regulatory policies and sales operations.
          • Document business flows, design efficient processes, change management, on-going operations.
          • Maintain technical & business metadata.
          • +
          +

          +

          +

          Functional Competencies:

          +

          +
          • Experience with CRM systems and client analytics or pricing tools.
          • Strong knowledge of financial products & Client P&L reporting
          • Experience with BI tools (e.g., Tableau, Power BI) and data modeling.
          • Ability to translate business needs into technical solutions. Strong Analytical skills.
          • Experience creating architecture and strategy artifacts.
          • Experience of XML, JSON, CSV files ingestion + Streaming Data
          • Strong Domain Knowledge in financial Services and enterprise functions
          • Strong project management and team leadership skills
          • Experience working in Agile environment.
          • Knowledge of Data Governance process for metadata and lineage management
          • +
          +

          +

          Educational Requirements:

          +
          • Bachelor’s Degree, or diploma in computer engineering or information science
          • +
          +

          +

          What's in it for you?

          +
          • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
          • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
          • Remote-friendly work environment will provide you with the flexibility to perform at your best.
          • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
          • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
          • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-Technical-Product-Owner-ON-M5H4A6/585020417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287954-technical-product-owner-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Technical-Product-Owner-ON-M5H4A6/585020417/,draft,2024-09-30T16:30:03.301Z,import-xml-feed:Scotiabank,,,,,,, 529790c9-1be5-42a7-bd1e-87eb92baad10,343569012,BELL CANADA,Technical Consultant,on_site,"Ottawa, Ontario, Canada",2024-09-25T21:25:02.896Z,"

          Req Id: 419263 

           

          At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

           

          We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 

           

          Join us. You belong at Bell. 

           

          On the Bell Business Markets team, you’ll be a vital part of making innovation happen for enterprise-scale customers. You’ll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

           

          At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

           

          @@ -18821,220 +20433,112 @@ f0543607-6926-402c-baa6-0b0d349e2ba4,343569020,BELL CANADA,"Director, Technical

           

          #EmployeeReferralProgram

           

          Adequate knowledge of French is required for positions in Quebec. 

           

          Additional Information:

          Position Type: Management 
          Job Status: 
          Regular - Full Time 
          Job Location:
          Canada : Ontario : Toronto || Canada : New Brunswick : Fredericton || Canada : Newfoundland : St. John's || Canada : Nova Scotia : Halifax || Canada : Quebec : Montreal 
          Work Arrangement: Hybrid 
          Application Deadline: 09/24/2024 

           

          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

           

          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

           

          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

           

          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

           

          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

           

          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

           

          Created: Canada, ON, Toronto

           

          Bell, one of Canada's Top 100 Employers.

          ",,https://jobs.bell.ca/ca/en/job/BECACA417083EXTERNALENCA/Director-Technical-Product-Manager-Cybersecurity-practice?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-01T21:30:03.687Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/343569020-director-technical-product-manager-cybersecurity-practice-at-bell-canada,BECACA417083EXTERNALENCA,draft,2024-09-25T21:25:03.883Z,import-xml-feed:Bell-Canada,,,,,,, -a06ed1b0-af24-4fcf-9e42-9f85808fbf2b,344787036,Google,"Software Developer III, XR Data, Perception Systems",on_site,"Toronto, ON, Canada",2024-10-03T08:34:02.096Z,"
          -
          -

          Software Developer III, XR Data, Perception Systems

          -
          -
          -
          -
          -share -
          -
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          • -linkCopy link -
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          • -emailEmail a friend -
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          -corporate_fareGoogleplaceMountain View, CA, USA; Waterloo, ON, Canada
          -
          -
          -
          -bar_chartMid -
          -
          -

          Mid

          -
          Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
          -
          -
          -
          -
          -
          -Apply
          -
          -
          -
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          -share -
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          • -linkCopy link -
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          • -emailEmail a friend -
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          info_outline
          -XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada. -
          - -
          -

          Minimum qualifications:

          -
            -
          • Bachelor’s degree or equivalent practical experience.
            -
          • -
          • 2 years of experience with software development in C++ or Java, or 1 year of experience with an advanced degree.
            -
          • -
          • Experience in video coding, image processing or related domains.
            -
          • -
          -

          Preferred qualifications:

          -
            -
          • Master\'s degree or PhD in Computer Science or related technical fields.
            -
          • -
          • Experience developing, improving, and monitoring the Extended Reality (XR) Software stack.
            -
          • -
          • Experience developing high-performance computer vision systems for real-time applications on mobile platforms.
            -
          • -
          • Knowledge of C++ (i.e., camera/image processing/dataset tools), Java/Kotlin (i.e., apps used to record, playback, editing), Python (image processing for tools), and Video/Audio encoding/decoding.
            -
          • -
          -
          -
          -

          About the job

          -

          Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

          -

          The XR-Data team develops the ingest technologies for cameras and sensors for compute-constrained AR/VR/XR devices, and also enables clients to simulate repeatable and editable scenarios within an AR/VR context.

          -

          The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

          -

          The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

          -

          Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

          -
          -
          -

          Responsibilities

          +d8e68880-3d31-41bc-a2c4-2dc76594dcbb,346634424,Roche,Cybersecurity Analyst (Vulnerability Management),on_site,"Ontario, Canada",2024-10-17T08:58:01.806Z,"
          +

          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

          +

          +

          +

          The Position

          +

          +

          Cybersecurity Analyst (Vulnerability Management)

          +

          Location: Pharma Campus (Mississauga) - Hybrid

          +

          Candidates must be based in the GTA.

          +

          +

          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

          +

          +

          The Cybersecurity - Vulnerability Management Team is part of Roche Global Information Security. Our mission is to safeguard Roche systems and information by prioritizing the resolution of identified IT security risks. We assess the urgency of deploying security updates for infrastructure components through risk ratings and maintain constant vigilance over Roche IT assets for known vulnerabilities.

          +

          +

          Our team is dedicated to developing and implementing robust security controls, defenses, and countermeasures to prevent both internal and external attacks on company email, data, e-commerce, and web-based systems. As part of our commitment to staying ahead, our Vulnerability Management Team actively monitors specialized sources for emerging vulnerabilities or weaknesses that could potentially impact Roche.

          +

          +

          We are seeking a skilled and experienced Cybersecurity Analyst with expertise in vulnerability management and web application security assessments to join our cybersecurity team. In this role, you will be responsible for keeping our networks and users safe from constantly evolving threats. As a Vulnerability Management Security Analyst, you will help protect proprietary information, patient data, keep computer systems and web applications secure, and provide a safe information environment for our users.

          +

          +

          The Opportunity

            -
          • Write robust, reliable, efficient, and testable software designed to run on compute-constrained android devices running perception pipelines at high frame rate and bandwidth.
            -
          • -
          • Work collaboratively with other Developer teams to optimize performance, usability, and testability for use cases that leverage camera/sensor stacks on a novel platform.
            -
          • -
          • Communicate, design, and implement decisions effectively through architecture/design documents and code.
            -
          • -
          • Review code developed by other developers and provide feedback to ensure best practices. Contribute to the overall efficiency and productivity of the Developer team through code, process enhancements, and software development workflow improvements.
            -
          • +
          • You are assessing company web applications using automated and manual tools.

          • +
          • You are evaluating and prioritizing security issues submitted via a bug-bounty program.

          • +
          • You are using enterprise vulnerability management tools to identify high-risk systems.

          • +
          • You are communicating risk and collaborating with system owners and other teams to address security vulnerabilities.

          • +
          • You are enhancing response capabilities for security vulnerabilities and incidents through tool building, scripting, and training.

          • +
          • You are actively involved in security monitoring for a global environment.

          -
          -
          -

          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

          -

          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

          -

          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

          -

          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

          -

          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

          -
          -
          ",,https://www.google.com/about/careers/applications/jobs/results/142571944791679686-software-developer-iii-xr-data-perception-systems?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-02T08:34:02.104Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344787036-software-developer-iii-xr-data-perception-systems-at-google,,draft,2024-10-03T08:34:02.096Z,import-xml-feed:Google-Job-Feed,,,,,,, -8f9122e3-67c6-48f6-9fa6-648fddcac370,344787008,BMO Financial Group,"Manager, Credit Optimizaton Strategy & Analysis",on_site,"Ontario, Canada",2024-10-03T08:18:03.382Z,"
          -

          Application Deadline:

          10/14/2024

          -

          -

          Address:

          33 Dundas Street West

          -

          -

          Job Family Group:

          Data Analytics & Reporting

          -

          -

          -

          -

          Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

          +

          +

          Who you are

            -
          • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
          • -
          • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
          • -
          • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
          • -
          • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
          • -
          • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
          • -
          • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
          • -
          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
          • -
          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
          • -
          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
          • -
          • Provides specialized consulting, analytical and technical support.
          • -
          • Exercises judgment to identify, diagnose, and solve problems within given rules.
          • -
          • Works independently and regularly handles non-routine situations.
          • -
          • Broader work or accountabilities may be assigned as needed.
          • +
          • You hold a Bachelor\'s degree (Information Technology and Information Security preferred) and/or you have + 3 years of experience in the information security field.

          • +
          • You demonstrate expertise in web application, network, and computer security, using Vulnerability Scanning tools (Tenable preferred), SIEM, Splunk SPL, and experience with scripting/automation.

          • +
          • You have experience in attack surface management and a proven ability to analyze, triage, and escalate security vulnerabilities.

          • +
          • You possess familiarity with various defensive and offensive security tool sets.

          -

          Qualifications:

          +

          +

          Preferred

            -
          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • -
          • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python,Power BI - In-depth.
          • -
          • Deep knowledge and technical proficiency gained through extensive education and business experience.
          • -
          • Verbal & written communication skills - In-depth.
          • -
          • Collaboration & team skills - In-depth.
          • -
          • Analytical and problem solving skills - In-depth.
          • -
          • Influence skills - In-depth.
          • -
          • Data driven decision making - In-depth.
          • +
          • You have experience with cloud platforms and understand security and controls.

          • +
          • You hold certifications such as OSCP or similar.

          • +
          • You have programming experience in scripting languages such as Python or PowerShell, and familiarity with JavaScript and mobile security.

          • +
          • You have the ability to effectively communicate information security-related risks, concepts, and situations to a non-technical audience.

          • +
          • You have experience working in a large, global, and complex environment.

          -

          -

          Salary:

          -
          $68,000.00 - $126,000.00

          -

          Pay Type:

          Salaried

          -

          The above represents BMO Financial Group’s pay range and type.

          -

          -

          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

          -

          -

          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

          -

          -

          -

          We’re here to help

          -

          -

          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

          -

          -

          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

          +

          Relocation benefits are not available for this posting

          +

          +

          Who we are

          +

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          -

          To find out more visit us at https://jobs.bmo.com/ca/en.

          +

          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

          -

          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

          +

          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

          +

          -

          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Credit-Optimizaton-Strategy---Analysis_R240023379-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-07T08:23:01.744Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344787008-manager-credit-optimizaton-strategy-analysis-at-bmo-financial-group,,draft,2024-10-03T08:18:03.382Z,import-xml-feed:BMO-Job-Feed,,,,,,, -2833d738-330a-49f3-9b51-9f6346a07bd3,344787655,Roche,Clinical Operations Analytics & Portfolio Optimization Intern,on_site,"Ontario, Canada",2024-10-03T08:58:02.462Z,"
          +

          Roche is an Equal Opportunity Employer.

          +
          +
          ",,https://careers.roche.com/global/en/job/202410-126471/Cybersecurity-Analyst-Vulnerability-Management,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634424-cybersecurity-analyst-vulnerability-management-at-roche,,draft,2024-10-17T08:58:01.806Z,import-xml-feed:Selenium-Scraper,,,,,,, +f65ae661-427a-45f7-b725-3652a083845b,346777818,Roche,Principal Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-10-18T08:58:01.741Z,"

          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

          The Position

          -

          At Roche, we are driven by an ambitious Pharma Vision to redefine Pharma Product Development (PD) Global Clinical Operations (PDG). Our mission is to innovate clinical trial delivery, putting patients at the center and transforming their experience along with caregivers and sites. Join our passionate and collaborative community, where we focus on high-impact work, embrace individuality, and empower teams to deliver significant outcomes. We cultivate a culture that values personal growth, reduces hierarchy, and supports self-directed career journeys with access to trusted advisors and coaches.

          -

          -

          The Opportunity:

          -

          The Clinical Operations Analytics & Portfolio Optimization Intern plays a pivotal role in supporting clinical trial teams by maximising expertise in data analytics, patient and investigator insights, and business intelligence. The position involves a variety of responsibilities sought at optimizing trial delivery and providing strategic operational insights.

          -

          The role involves supporting the optimization of country strategies and forecasting trial timelines across the Roche portfolio, ensuring efficient trial delivery through the development of strategic insights and recommendations. Collaboration with teams is crucial to develop tools and recommendations for reporting strategies, automate data processing, and deliver analyses and business solutions to the clinical operations organization. This includes the integration of in-depth patient insights, such as knowledge of epidemiology, disease progression, patient journeys, existing treatments, and standard care practices.

          -

          Additionally, the position requires a detailed understanding of the investigator landscape, including local geographic needs, previous engagements with Roche, adherence to Good Clinical Practices (GCPs), and overall quality and compliance. The role also involves supervising and tracking the competitive landscape, conducting primary research, and assessing risk levels to determine their implications for trial execution. This comprehensive approach ensures that the team can make well-informed decisions and optimize clinical trial outcomes optimally.

          +

          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

          +

          +

          Creating a world where we all have more time with the people we love.

          +

          +

          That’s what makes us Roche.

          +

          +

          Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.

          +

          +

          +

          As a Principal Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

          +

          +

          Your Opportunity

            -
          • Work within cross-functional teams to develop analytical solutions and gain alignment and engage stakeholders to enable better decision-making and deliver impactful business insights.

          • -
          • Build an understanding of patient, investigator, and site needs, including identifying pain points and exploring opportunities for streamlining investigator and site-level burdens.

          • -
          • Create tools for automating data processing, cleaning, and delivering analyses and provide business solutions to the clinical operations organization through automation.

          • -
          • Compile and analyze relevant information to synthesize key actionable insights; deliver impactful formal and informal presentations to various leadership teams and stakeholders.

          • -
          • Assess competitive clinical trial activities, country/site footprints, and threats, provide situational analysis support for quarterly business reviews and early clinical trial planning and support the identification of appropriate sites and countries for trial placement.

          • +
          • Design, develop, and implement high-performance bioinformatics algorithms for analyzing NGS data, including variant calling, quality control, and data preprocessing.

          • +
          • Continuously optimize and refactor existing algorithms to improve performance and reduce resource utilization, enabling efficient analysis of large-scale genomic datasets.

          • +
          • Ensure the reliability and accuracy of bioinformatics algorithms by writing rigorous test suites and collaborating with quality assurance teams to validate results.

          • +
          • Integrate bioinformatics algorithms into the company\'s software platforms, ensuring seamless compatibility with existing pipelines and workflows.

          • +
          • Collaborate with biologists, data scientists, and other software engineers to understand the specific requirements and constraints of NGS data analysis for diagnostics and internal research.

          • +
          • Create detailed documentation for algorithms, code, and workflows to facilitate knowledge transfer and ensure reproducibility.

          • +
          • Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and learning within the team.

          -

          Who you are:

          +

          Who you are

            -
          • You hold an undergraduate degree or equivalent experience in sciences, healthcare, life sciences and related fields.

          • -
          • You are currently enrolled in a Masters in Biomedical Discovery and Commercialization or Masters in Biotechnology program.

          • -
          • With a strong analytical mentality and problem-solving abilities, you are adept at breaking down sophisticated issues, managing uncertainty, and understanding interdependencies.

          • -
          • You have experience in database querying and data analysis, particularly using SQL, and are proficient with standard analysis, collaboration, and presentation software such as Microsoft Suite and Google Suite, allowing to integrate data from various sources and present findings effectively.

          • -
          • You have excellent communication, organizational, and time management skills, paired with a passion for business and scientific intelligence, enabling you to present insights objectively and guide decision-making through compelling storytelling.

          • +
          • Bachelor\'s or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field with 5 plus years\' of experience in relevant bioinformatics tools and libraries.

          • +
          • Strong proficiency in C++, with knowledge of scientific computing programming languages like Python and R

          • +
          • Experience with parallel computing, optimization, and performance tuning.

          • +
          • Experience with deeply understanding and optimizing complex algorithms.

          • +
          • Excellent problem-solving skills, attention to detail, and effective communication and teamwork abilities.

          -

          Preferred:

          +

          +

          Preferred

            -
          • You have knowledge in Predictive modeling, simulation, forecasting

          • -
          • Basic understanding of clinical research and disease mechanisms

          • -
          • You have experience in Data analysis using R or Python and familiarity with business intelligence tools (Spotfire, Tableau).

          • +
          • Experience working in a regulated environment (e.g., ISO 13485, CLIA) is a plus.

          • +
          • Proven experience in developing bioinformatics algorithms for NGS data analysis.

          -

          Additional Information:

          -

          Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

          -

          Hours: full-time (35 hours per week)

          -

          Length: This position is a 12-month work term (full-time) and is expected to begin in January 2025

          +

          Relocation benefits are not available for this posting

          -

          Relocation benefits are not available for this job posting.

          -

          #MBDC&MBiotech

          +

          #tech4lifeSoftwareDevelopment

          +

          #tech4life

          +

          #LI-Hybrid

          Who we are

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          @@ -19046,53 +20550,7 @@ a06ed1b0-af24-4fcf-9e42-9f85808fbf2b,344787036,Google,"Software Developer III, X

          Roche is an Equal Opportunity Employer.

          -
          ",,https://careers.roche.com/global/en/job/202408-121429/Clinical-Operations-Analytics-Portfolio-Optimization-Intern,feed-importer@jobboard.io,,,,2024-10-07T09:03:03.201Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344787655-clinical-operations-analytics-portfolio-optimization-intern-at-roche,,draft,2024-10-03T08:58:02.462Z,import-xml-feed:Selenium-Scraper,,,,,,, -c024e8f6-d8fd-40ae-85e9-b7578be75ba1,343706881,KPMG,"Senior Manager, Forensic - Class Action and Proactive Remediation",on_site,"Toronto, Canada",2024-09-26T16:34:02.885Z,"Overview

          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

          The Forensic practice is interested in hiring a Senior Manager to join its forensic data analytics (“FDA”) team. The FDA team performs data analytics to provide litigation support, the quantification of damages, and investigations into fraud and other inappropriate actions. Our team also performs data analytics for external audit, internal audit and as well as for other consulting engagements.

          This position is available to a candidate with minimum 10 years professional experience who is interested in continuing a career in forensic data analytics, specifically in supporting class actions and proactive remediation mandates where data and data calculations are a key focal point (e.g. analysis of large volumes of data to identify potential harmed individuals, calculation of damages/remediation related to these individuals, validation of calculations performed by clients and/or third-parties against defined logic/requirements, identification of limitations and quantify the impact of assumptions on the calculations, and preparation of expert reports to be submitted as part of litigation or regulatory submission). The candidate may from time to time assist the Forensic practice in data analysis in other areas such as in investigations (e.g. identify patterns and high-risk transactions, and asset tracing).


          What you will do

            -
          • Leading engagement teams and working to translate data requirements into data analytics routines.
          • -
          • The candidate will often be responsible for managing several engagements at one time.
          • -
          • Establishing and monitoring project budgets, ensuring timely billing and collections, etc. Assisting the Partners in new client evaluation, engagement acceptance and related risk management practices.
          • -
          • Preparation of written reports summarizing our procedures and findings. Preparing file documentation and ensuring appropriate document management.
          • -
          • Reviewing and/or developing scripts and workflows to assist with data extraction, queries, and data manipulation in accordance with business requirements.
          • -
          • Actively participating in marketing and business development at a Senior Manager level, this will include developing your professional network, attending networking events, writing articles, preparing and delivering presentations and other activities to raise your profile within the business community.
          • -

          What you bring to the role

            -
          • Minimum of 10 years of relevant professional experience, including 6 years of experience with data extraction, analysis, cleansing, quality and manipulation skills, and experience handling very large volumes of data, and a minimum of 5 years of managing class action and/or proactive remediation teams.
          • -
          • Experience in accounting and/or financial markets. A CPA designation is highly recommended but not obligatory.
          • -
          • Expert knowledge of the following tools: Alteryx, Tableau, MS Power BI, SQL, Python, ACL/IDEA
          • -
          • Demonstrated experience in managing multiple engagements simultaneously, setting project timelines, allocating resources efficiently, ensuring timely delivery of high-quality work while managing internal and external stakeholders’ expectations.
          • -
          • Subject matter expertise in class actions and/or proactive remediation.
          • -
          • Proven record of business development skills, including developing and maintaining long-term relationships across a network of existing and potential clients to maximise opportunities.
          • -
          • Excellent ability to communicate and present complex technical findings in a clear and concise manner concise anner tailored for audiences without a technical background or understanding of data analytics processes.
          • -

          Providing you with the support you need to be at your best

          For more information about KPMG in Canada’s Benefits and well-being, click here.


          Our Values, The KPMG Way

          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

          Adjustments and accommodations throughout the recruitment process

          At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

          To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

          For information about accessible employment at KPMG, please visit our accessibility page.

          ",,https://careers.kpmg.ca/professionals/jobs/24488?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-07T16:40:03.322Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706881-senior-manager-forensic-class-action-and-proactive-remediation-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24488?lang=en-us,draft,2024-09-26T16:34:02.885Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -3d9e5b8c-d221-43d8-87d6-740e3fcd6896,344839842,Scotiabank,"Senior Manager, Risk and Regulatory Reporting",on_site,Canada : Ontario : Toronto,2024-10-03T16:31:05.115Z,"

          -

          -

          -

          -

          Requisition ID: 208173

          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

          -

          -

          The candidate contributes to the delivery of key risk information and data analytics for the Global Risk Management – Business Banking. He/she plays an active role in the deployment of technology solutions that enhance the effectiveness of risk management. He/she partners with colleagues in GRM and IT&S, in addition to other Bank stakeholders, to assist with the deployment of multi-disciplinary, complex solutions that align with GRM’s strategic priorities.

          -

          -

          The candidate works with a team of risk reporting specialists that produce daily, weekly, monthly, quarterly, and annual risk management/portfolio reporting for senior management and regulatory reporting for OSFI & Bank of Canada. The candidate will focus on designing, developing, and implementing solutions for GRM in areas of reporting, analytics, and other risk initiatives.

          -

          -

          The candidate will work closely with the business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate’s activities include requirement analysis, data analysis, solution design and documentation, and leading system enhancement development and implementation. The individual must thrive on challenge, be proactive and dynamic, demonstrate initiative and sound judgement, team leader, be eager to learn, and be customer focused.

          -

          -

          -

          Is this role right for you? In this role, you will:

          -
          1. -Work with the Director and the leadership team to develop strategic opportunities for the design, development and implementation of new solutions or enhancements to existing applications by:
          2. Able to analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate root causes/drivers. Support the “story-telling” to ensure insights are delivered in a meaningful and relevant manner to key partners and stakeholders.
          3. Recommends solutions and takes a design focus when planning end-to-end build of processes and/or programs (based on business needs), ensuring compliance with Business Intelligence framework and methodology.
          4. Oversee testing enhancements / changes to existing data sources and identifying, monitoring, and communicating data quality issues.
          5. -Responsible for the development and production of monthly and quarterly senior management risk reports, and regulatory reports.
            • Summarize and describe changes in the Bank’s credit risk globally for internal and external stakeholders.
            • Assist in preparation of the GRM quarterly report to the Board of Directors and Briefing Binder Report used by the Executive Management.
          6. Participate in the identification, assessment, measurement, and monitoring of complex, cross-enterprise risks, and communicating these to Executives and the Board of Directors.
          7. Effectively determine, allocate and manage resources among multiple projects/deliverables.
          8. Effectively communicating with GRM, IT&S, Regulators (OSFI & BoC), Finance, Audit, Retail, Credit and Banking groups.
          9. -
          -

          -

          -

          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

          -
          • A minimum of five or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.
          • The incumbent must have experience and knowledge of complex data models, programming, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:
          • Ability to lead multiple projects, coordinate activities with various stakeholders in a timely, organized manner.
          • Ability to facilitate meetings and action plans.
          • Deep data mining and technical skills and experience translating data into consumable messages.
          • Working with large amounts of data from a variety of different sources.
          • Superior skills in business analysis and drafting functional specifications leading to the completion of complex functional specifications or External Design Documents.
          • Be innovative in devising solutions that will streamline processes and improve effectiveness.
          • knowledge of project and process management disciplines.
          • Strong verbal and written communication and presentation skills
          • Ability to influence and secure co-operation \ assistance from other departments.
          • Experience effectively working in a global matrix team, across a range of functions, seniority, and geography.
          • A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
          • Accountable for end-to-end delivery – leads team in the design, development, maintenance, and management of reporting solutions.
          • Specialized depth of knowledge in programming to leverage tools and methods to provide solutions to complex questions from the business; works with a lot of ambiguity.
          • A strong knowledge of the Bank's policies & processes, technical platform applications and financial information systems would be an asset.
          • Experience with SQL and Power BI is preferred.
          • Experience with data analysis and Business Intelligence tools is a definite asset.
          • Advanced graduate university degree (typically in mathematics, business administration, technology, statistics or equivalent). Previous Banking and/or Credit experince is desireable. CFA, FRM designation an asset. Previous Banking and/or Credit experince is desireable.    
          • -
          -

          -

          What's in it for you?

          -
          • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers
          • A rewarding career path with diverse opportunities for professional development
          • Internal training to support your growth and enhance your skills
          • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
          • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more
          • Hybrid Work Environment
          • -
          -

          -

          -

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Risk-and-Regulatory-Reporting-ON-M5H1H1/585164317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/344839842-senior-manager-risk-and-regulatory-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Risk-and-Regulatory-Reporting-ON-M5H1H1/585164317/,draft,2024-10-03T16:31:05.115Z,import-xml-feed:Scotiabank,,,,,,, +
          ",,https://careers.roche.com/global/en/job/202405-113384/Principal-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/346777818-principal-bioinformatics-software-engineer-at-roche,,draft,2024-10-18T08:58:01.741Z,import-xml-feed:Selenium-Scraper,,,,,,, 1e169ca7-3214-4562-83bc-f12982b0f9c1,346256339,Google,"Account Strategist, Engage, Google Customer Solutions",on_site,"Toronto, ON, Canada",2024-10-14T08:34:02.594Z,"

          Account Strategist, Engage, Google Customer Solutions

          @@ -19381,6 +20839,159 @@ d2d2db96-e7bc-4087-9a60-0d3efb480f46,346258819,CN,"Intern, Internal Audit",on_si

          As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14597?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-13T08:58:03.171Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258820-intern-forensic-accounting-at-cn,,draft,2024-10-14T08:58:03.170Z,import-xml-feed:Selenium-Scraper,,,,,,, +b686709f-5927-4998-b295-22749d60988f,343569016,BELL CANADA,2025 Graduate Program- Human Resources,on_site,"Toronto, Ontario, Canada",2024-09-25T21:25:03.284Z,"

           ​Req Id: 420036


          At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

           

          We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


          Join us. You belong at Bell. 

           

          Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

           

          At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

           

          +
          +
          +

          Why join us?

          +
          +
            +
          • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
          • +
          • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more.
          • +
          • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
          • +
          • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
          • +
          • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
          • +
          +
          +
          +
          +

          What you'll do

          +
          +
          +

          Joining the Bell Human Resources team means getting up-close and personal with the talent that is transforming Bell. The unique opportunity embedded in this team will mean learning from experienced professionals and contributing to building a talent advantage. You’ll gain exposure to different HR functions through real-business projects, developing the skills needed to become future Bell HR leaders who make a lasting impact.

          +

          Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience needed to become the next generation of HR leaders at Bell. To provide the ideal career path for you, rotational job experiences will be assigned based on preferences, skills, development opportunities, and business needs

          +
          +
          +
          +
          +

          What we're looking for

          +
          +
          +

          With our Grad Program you will build your Human Resource knowledge through a total of 6 rotations and real, business-related projects, which may include roles within:

          +
            +
          • Talent Acquisition
          • +
          • Organizational Development
          • +
          • Compensation
          • +
          • Mental Health and workplace practices
          • +
          • Project Management
          • +
          • Analytics and reporting
          • +
          • Employee and Executive services
          • +
          • Human Resources or Labour Relations business unit support
          • +
          +
          +
          +
          +
          +

          Requirements

          +
          +
            +
          • You have a Bachelor’s degree or college diploma in Human Resource Management, Industrial Relations, Business Management programs or related field completed before the program start date.
          • +
          • You must have flexibility to work in different locations within Montreal and the Greater Toronto Area.
          • +
          +
          +
          +
          +

          Leadership Skills

          +
          +
            +
          • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
          • +
          • You gain the trust of your teams, being known for demonstrating fairness and respect.
          • +
          • You promote belonging and are flexible, accountable and collaborative.
          • +
          • You are analytical and are an exceptional problem-solver with a curiosity to understand ""how things work”.
          • +
          • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
          • +
          • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team.
          • +
          • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
          • +
          • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
          • +
          • You are committed to growing your skills and learning from others.
          • +
          • Your leadership qualities have been demonstrated through extracurricular activities and projects.
          • +
          +
          +
          +
          +

          Applying is simple

          +
          +
          +

          Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

          +
            +
          1. Review our programs and indicate up to three role choices in your application.
          2. +
          3. Complete your video interview within 48 hours.
          4. +
          5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
          6. +
          7. If selected from previous step, you will be invited to a virtual panel interview.
          8. +
          +

          Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

          +

           

          +

          Offers will be made to qualified grads ongoing from September to December 2024 or until all positions are filled.

          +
          +
          +

          #EmployeeReferralProgram

           

          Adequate knowledge of French is required for positions in Quebec.

           

          Additional Information:
          Position Type: Management 
          Job Status: Grad Hire 
          Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal 
          Work Arrangement: Hybrid
          Application Deadline: 11/03/2024

           

          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

           

          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

           

          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

           

          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

           

          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
           

          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

           

          Created: Canada, ON, Mississauga

           

          Bell, one of Canada's Top 100 Employers.

          #CampusHR24

          ",,https://jobs.bell.ca/ca/en/job/BECACA420036EXTERNALENCA/2025-Graduate-Program-Human-Resources?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-25T21:25:03.293Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343569016-2025-graduate-program-human-resources-at-bell-canada,BECACA420036EXTERNALENCA,draft,2024-09-25T21:25:03.284Z,import-xml-feed:Bell-Canada,,,,,,, +960f2a84-3088-4d8c-a8c5-ea4e451eb8ca,345182866,BELL CANADA,2025 Internship Program- Technology Product Management,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:03.169Z,"

           ​Req Id: 420041


          At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

           

          We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


          Join us. You belong at Bell. 

           

          Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

           

          At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

           

          +
          +
          +

          +
          +
          +

          This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.
           

          +

          Why Join Us?

          +
            +
          • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
          • +
          • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
          • +
          • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
          • +
          • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
          • +
          • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
          • +
          • Develop your technical and leadership skills through formal and experiential training programs.
          • +
          • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
          • +
          +
          +
          +
          +
          +

          +
          +
          +

          What you’ll do
          Customers are at the centre of Bell’s technology transformation. Embedded in the team, you will have the opportunity to support customer-centric products that impact how people and businesses connect, work and learn. Interns will work together with teams across the spectrum to deliver exceptional experiences through cost-effective project management. 
          Some of your day-to-day responsibilities might include supporting innovation and product lifecycle projects, and more. You will bring fresh perspectives to the team and our clients through competitive benchmarking, analysis and business planning.

          +

           

          +

           

          +

          What we’re looking for 

          +

          Within our Technology Product Managment function, we have several opportunities available. For more details on each of the below roles, click here.  

          +
            +
          • Technical Product Manager
          • +
          • Technical Sales Specialist
          • +
          • Technology Intern
          • +
          +

           

          +

          Requirements
          You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

           

          +

          Technical Skills (you have some of the following)

          +
            +
          • You are familiar with project/program management principles, frameworks and tools (e.g. PMP) and can run effective meetings
          • +
          • You are experienced in lean/agile methods, processes and tools (e.g. JIRA, Kanban) and have knowledge of how to drive product lifecycles
          • +
          • You are tech savvy with a desire to keep up-to-date with the latest technology (including IT and cloud/GCP) and trends by monitoring competitors and market shifts
          • +
          • You have experience with SQL
          • +
          +
          +
          +
          +
          +

          +
          +
          +

          Leadership skills

          +
            +
          • +You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers. +
          • +
          • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
          • +
          • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. You further have the ability to communicate with technical and nontechnical audiences. 
          • +
          • You gain the trust of your teams, being known for demonstrating fairness and respect.
          • +
          • You promote belonging and are flexible, accountable and collaborative.
          • +
          • You are committed to growing your skills and learning from others.
          • +
          +

           

          +

          Applying is simple
          Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

          +

          1. Review our programs and indicate up to three role choices in your application.
          2. Complete your video interview within 48 hours. 
          3. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
          4. If selected from previous step, you will be invited to a virtual panel interview.

          +

          Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.
           

          +

          Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.
           

          +
          +
          +

          #EmployeeReferralProgram #CampusProduct24

           

          Adequate knowledge of French is required for positions in Quebec.

           

          Additional Information:
          Position Type: Management 
          Job Status: Intern 
          Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Bedford || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
          Work Arrangement: Hybrid
          Application Deadline: 11/03/2024

           

          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

           

          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

           

          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

           

          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

           

          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
           

          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

           

          Created: Canada, ON, Toronto

           

          Bell, one of Canada's Top 100 Employers.

          ",,https://jobs.bell.ca/ca/en/job/BECACA420041EXTERNALENCA/2025-Internship-Program-Technology-Product-Management?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-04T21:25:03.175Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345182866-2025-internship-program-technology-product-management-at-bell-canada,BECACA420041EXTERNALENCA,draft,2024-10-05T21:25:03.169Z,import-xml-feed:Bell-Canada,,,,,,, de9a265b-330d-4ae2-88e3-4a72ef70a8da,346652965,Scotiabank,GTB - Strategic Initiatives and PMO Intern/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-17T16:31:03.789Z,"

          @@ -19420,144 +21031,204 @@ de9a265b-330d-4ae2-88e3-4a72ef70a8da,346652965,Scotiabank,GTB - Strategic Initia

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-GTB-Strategic-Initiatives-and-PMO-InternCo-op-Winter-2025-ON/584618317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346652965-gtb-strategic-initiatives-and-pmo-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GTB-Strategic-Initiatives-and-PMO-InternCo-op-Winter-2025-ON/584618317/,draft,2024-10-17T16:31:03.789Z,import-xml-feed:Scotiabank,,,,,,, -d8e68880-3d31-41bc-a2c4-2dc76594dcbb,346634424,Roche,Cybersecurity Analyst (Vulnerability Management),on_site,"Ontario, Canada",2024-10-17T08:58:01.806Z,"
          -

          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

          -

          -

          -

          The Position

          -

          -

          Cybersecurity Analyst (Vulnerability Management)

          -

          Location: Pharma Campus (Mississauga) - Hybrid

          -

          Candidates must be based in the GTA.

          -

          -

          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

          -

          -

          The Cybersecurity - Vulnerability Management Team is part of Roche Global Information Security. Our mission is to safeguard Roche systems and information by prioritizing the resolution of identified IT security risks. We assess the urgency of deploying security updates for infrastructure components through risk ratings and maintain constant vigilance over Roche IT assets for known vulnerabilities.

          -

          -

          Our team is dedicated to developing and implementing robust security controls, defenses, and countermeasures to prevent both internal and external attacks on company email, data, e-commerce, and web-based systems. As part of our commitment to staying ahead, our Vulnerability Management Team actively monitors specialized sources for emerging vulnerabilities or weaknesses that could potentially impact Roche.

          -

          -

          We are seeking a skilled and experienced Cybersecurity Analyst with expertise in vulnerability management and web application security assessments to join our cybersecurity team. In this role, you will be responsible for keeping our networks and users safe from constantly evolving threats. As a Vulnerability Management Security Analyst, you will help protect proprietary information, patient data, keep computer systems and web applications secure, and provide a safe information environment for our users.

          -

          -

          The Opportunity

          -
            -
          • You are assessing company web applications using automated and manual tools.

          • -
          • You are evaluating and prioritizing security issues submitted via a bug-bounty program.

          • -
          • You are using enterprise vulnerability management tools to identify high-risk systems.

          • -
          • You are communicating risk and collaborating with system owners and other teams to address security vulnerabilities.

          • -
          • You are enhancing response capabilities for security vulnerabilities and incidents through tool building, scripting, and training.

          • -
          • You are actively involved in security monitoring for a global environment.

          • -
          -

          -

          Who you are

          -
            -
          • You hold a Bachelor\'s degree (Information Technology and Information Security preferred) and/or you have + 3 years of experience in the information security field.

          • -
          • You demonstrate expertise in web application, network, and computer security, using Vulnerability Scanning tools (Tenable preferred), SIEM, Splunk SPL, and experience with scripting/automation.

          • -
          • You have experience in attack surface management and a proven ability to analyze, triage, and escalate security vulnerabilities.

          • -
          • You possess familiarity with various defensive and offensive security tool sets.

          • -
          -

          -

          Preferred

          -
            -
          • You have experience with cloud platforms and understand security and controls.

          • -
          • You hold certifications such as OSCP or similar.

          • -
          • You have programming experience in scripting languages such as Python or PowerShell, and familiarity with JavaScript and mobile security.

          • -
          • You have the ability to effectively communicate information security-related risks, concepts, and situations to a non-technical audience.

          • -
          • You have experience working in a large, global, and complex environment.

          • -
          -

          -

          Relocation benefits are not available for this posting

          -

          -

          Who we are

          -

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          -

          -

          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

          -

          -

          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

          -
          -

          -

          Roche is an Equal Opportunity Employer.

          -
          -
          ",,https://careers.roche.com/global/en/job/202410-126471/Cybersecurity-Analyst-Vulnerability-Management,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/346634424-cybersecurity-analyst-vulnerability-management-at-roche,,draft,2024-10-17T08:58:01.806Z,import-xml-feed:Selenium-Scraper,,,,,,, -f65ae661-427a-45f7-b725-3652a083845b,346777818,Roche,Principal Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-10-18T08:58:01.741Z,"
          -

          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

          -

          -

          -

          The Position

          -

          -

          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

          -

          -

          Creating a world where we all have more time with the people we love.

          -

          -

          That’s what makes us Roche.

          -

          -

          Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.

          -

          -

          -

          As a Principal Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

          -

          -

          Your Opportunity

          +9cd45af9-a4f6-46c7-b017-e822981b5167,347102862,Google,"Senior Software Developer, Site Reliability Development, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.485Z,"
          +
          +

          Senior Software Developer, Site Reliability Development, Google Cloud

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          +share +
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            +
          • +linkCopy link +
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          • +emailEmail a friend +
          • +
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          +corporate_fareGoogleplaceWaterloo, ON, Canada
          +
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          +
          +bar_chartMid +
          +
          +

          Mid

          +
          Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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          +
          +
          +Apply
          +
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          +share +
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            +
          • +linkCopy link +
          • +
          • +emailEmail a friend +
          • +
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          +
          +
          +
          +

          Minimum qualifications:

            -
          • Design, develop, and implement high-performance bioinformatics algorithms for analyzing NGS data, including variant calling, quality control, and data preprocessing.

          • -
          • Continuously optimize and refactor existing algorithms to improve performance and reduce resource utilization, enabling efficient analysis of large-scale genomic datasets.

          • -
          • Ensure the reliability and accuracy of bioinformatics algorithms by writing rigorous test suites and collaborating with quality assurance teams to validate results.

          • -
          • Integrate bioinformatics algorithms into the company\'s software platforms, ensuring seamless compatibility with existing pipelines and workflows.

          • -
          • Collaborate with biologists, data scientists, and other software engineers to understand the specific requirements and constraints of NGS data analysis for diagnostics and internal research.

          • -
          • Create detailed documentation for algorithms, code, and workflows to facilitate knowledge transfer and ensure reproducibility.

          • -
          • Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and learning within the team.

          • +
          • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
            +
          • +
          • 5 years of experience with software development in one or more programming languages.
            +
          • +
          • 5 years of experience with data structures or algorithms.
            +
          • +
          • 3 years of experience in designing, analyzing, and troubleshooting distributed systems, and 2 years of experience leading projects and providing technical leadership.
            +
          -

          -

          Who you are

          +

          Preferred qualifications:

            -
          • Bachelor\'s or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field with 5 plus years\' of experience in relevant bioinformatics tools and libraries.

          • -
          • Strong proficiency in C++, with knowledge of scientific computing programming languages like Python and R

          • -
          • Experience with parallel computing, optimization, and performance tuning.

          • -
          • Experience with deeply understanding and optimizing complex algorithms.

          • -
          • Excellent problem-solving skills, attention to detail, and effective communication and teamwork abilities.

          • +
          • Master\'s degree in Computer Science or Engineering.
            +
          • +
          • Experience as a technical leader.
            +
          • +
          • Experience with AI/ML systems.
            +
          • +
          • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
          • +
          • Ability to debug, optimize code, and automate routine tasks.
            +
          • +
          • Excellent leadership and cross-functional skills.
          -

          -

          Preferred

          +
          +
          +

          About the job

          +

          Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users\' needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation.

          On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

          Site Reliability Developers culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

          To learn more: check out our books on Site Reliability Development, watch a recorded Hangout on Air to meet some of our Site Reliability Developers, or read a career profile about why a Software Developer chose to join Site Reliability Development.

          +

          We help Protected Data by driving reliability, resiliency, and efficiency efforts throughout the lifecycle of end-user data. Privacy Indexing Site Reliability Development\'s goal is to make data processing product offerings within Protected Data self-sustaining, self-healing, efficient, and requiring minimal operational cost.

          +

          Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

          +
          +
          +

          Responsibilities

            -
          • Experience working in a regulated environment (e.g., ISO 13485, CLIA) is a plus.

          • -
          • Proven experience in developing bioinformatics algorithms for NGS data analysis.

          • +
          • Define, lead and drive to completion Protected Data\'s infrastructure resiliency and scalability efforts.
            +
          • +
          • Identify opportunities for horizontal resiliency improvements in Protected Data and infrastructure partners (e.g., storage and platform teams).
            +
          • +
          • Collaborate with Protected Data leads to introduce AI/ML to the organization.
            +
          • +
          • Participate regularly in a tier 1 oncall rotation, including complex incident coordination, distributed system debugging, implementing technical mitigations and long term fixes, as well as blameless postmortem authoring.
          • +
          • Define engagement model for infrastucture-level integrations.
            +
          -

          -

          Relocation benefits are not available for this posting

          -

          -

          #tech4lifeSoftwareDevelopment

          -

          #tech4life

          -

          #LI-Hybrid

          -

          -

          Who we are

          -

          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

          -

          -

          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

          -

          -

          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

          -
          -

          -

          Roche is an Equal Opportunity Employer.

          -
          -
          ",,https://careers.roche.com/global/en/job/202405-113384/Principal-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/346777818-principal-bioinformatics-software-engineer-at-roche,,draft,2024-10-18T08:58:01.741Z,import-xml-feed:Selenium-Scraper,,,,,,, -48513492-a094-4779-a086-99ebe56fc86a,345809284,BELL CANADA,Senior ServiceNow Architect,on_site,"Mississauga, Ontario, Canada",2024-10-10T21:25:03.336Z,"

          Req Id: 420773 

           

          At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 
           

          We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 
           

          Join us. You belong at Bell. 

           

          Be a critical part our Customer Operations team, which delivers world-class service and maintains thriving relationships with Bell customers. You will gain valuable experience and insights that you’ll use to address inquiries and concerns, provide technical assistance, process orders and service requests, manage customer accounts and ensure overall customer satisfaction.  

           

          As part of our team, will be at the heart of our customers’ experiences. 

           

          -
          -
          -

          -

          We are searching for a highly skilled and experienced Solution Architect to join our team and drive the successful implementation of ServiceNow Customer Service Management within our ecosystem. The ideal candidate will possess a deep understanding of solution development within the ServiceNow platform, particularly in the realm of CSM, and will be responsible for leading the design, development, and implementation of innovative solutions. This role requires a strong technical background, proven leadership skills, and a commitment to delivering exceptional results.

          +
          +

          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

          +

          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

          +

          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

          +

          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

          +

          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

          +
          +
          ",,https://www.google.com/about/careers/applications/jobs/results/88383879580132038-senior-software-developer-site-reliability-development-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102862-senior-software-developer-site-reliability-development-google-cloud-at-google,,draft,2024-10-21T08:34:03.485Z,import-xml-feed:Google-Job-Feed,,,,,,, +8e330912-6e94-49d7-9448-d789034c2377,347102864,Google,"Software Developer II, Site Reliability Development, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.664Z,"
          +
          +

          Software Developer II, Site Reliability Development, Google Cloud

          +
          +
          +
          +
          +share
          -
          -
          -

          Key Responsibilities

          +
            +
          • +linkCopy link +
          • +
          • +emailEmail a friend +
          • +
          -

          •    Lead the design, development, and implementation of ServiceNow CSM solutions, ensuring alignment with business requirements and best practices.
          •    Collaborate closely with stakeholders to understand business needs, translate them into technical requirements, and ensure effective communication throughout the implementation process.
          •    Develop and maintain comprehensive documentation for all ServiceNow CSM solutions, including technical specifications, design documents, and user guides.
          •    Conduct thorough testing and quality assurance activities to ensure the stability, performance, and security of all implemented solutions.
          •    Provide ongoing support and maintenance for ServiceNow CSM solutions, resolving issues and implementing enhancements as needed.
          •    Stay abreast of emerging trends and technologies in the ServiceNow platform, particularly in the realm of CSM, to ensure the continuous improvement of solutions.
          •    Mentor and guide junior team members, fostering a culture of knowledge sharing and continuous learning.
          •    Collaborate with other product and IT teams to ensure seamless integration of ServiceNow CSM solutions with existing systems and applications.
          •    Lead the development of ServiceNow CSM solutions that adhere to industry best practices and security standards.
          •    Contribute to the development and implementation of a comprehensive ServiceNow CSM strategy, aligning with the overall technology roadmap.

          +
          +
          +
          +corporate_fareGoogleplaceWaterloo, ON, Canada
          +
          +
          +
          +bar_chartEarly +
          +
          +

          Early

          +
          Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
          +
          +
          +
          +
          +
          +Apply
          +
          +
          +
          +
          +
          +share +
          +
            +
          • +linkCopy link +
          • +
          • +emailEmail a friend +
          • +
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          +
          +
          +
          +

          Minimum qualifications:

          +
            +
          • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
            +
          • +
          • Experience with data structures/algorithms and software development in one or more programming languages.
            +
          • +
          +

          Preferred qualifications:

          +
          • Master\'s degree in Computer Science or Engineering.
            +
          -
          -
          -

          Critical Qualifications

          +
          +

          About the job

          +

          Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google Cloud\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer\'s needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance.

          Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. Site Reliability Developments culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

          +

          With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

          +

          -

          •    Bachelor's degree in Computer Science, Information Technology, or a related field.
          •    5+ years of proven experience in software development using the ServiceNow platform, with a strong focus on CSM.
          •    In-depth knowledge of ServiceNow CSM modules, including Case Management, Incident Management, Order Management, and Customer Profile.
          •    Strong understanding of ServiceNow development methodologies, including scripting, workflows, and integrations.
          •    Experience with Agile development methodologies and tools, such as Scrum and Kanban.
          •    Proven ability to design, develop, and implement complex ServiceNow CSM solutions.
          •    Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
          •    Strong analytical and problem-solving skills, with the ability to identify and resolve complex technical issues.
          •    Ability to work independently and as part of a team, collaborating effectively with colleagues and stakeholders.
          •    Possession of relevant ServiceNow certifications, such as Certified Application Developer (CAD), Certified Implementation Specialist (CIS), or Certified System Administrator (CSA).

           

          +
          +

          Responsibilities

          +
            +
          • Write product or system development code.
          • +
          • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
          • +
          • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
          • +
          • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
          • +
          • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
          • +
          -

           

          #EmployeeReferralProgram

           

          Adequate knowledge of French is required for positions in Quebec. 

           

          Additional Information:

          Position Type: Management

          Job Status: Regular - Full Time

          Job Location: Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Ontario : Mississauga || Canada : Quebec : Montreal 

          Work Arrangement: Hybrid

          Application Deadline: 10/31/2024

           

          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.


          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

           

          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

           

          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

           

          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

           

          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

           

          Created: CanadaON, Toronto

           

          Bell, one of Canada's Top 100 Employers.

          ",,https://jobs.bell.ca/ca/en/job/BECACA420773EXTERNALENCA/Senior-ServiceNow-Architect?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-09T21:25:03.374Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345809284-senior-servicenow-architect-at-bell-canada,BECACA420773EXTERNALENCA,draft,2024-10-10T21:25:03.336Z,import-xml-feed:Bell-Canada,,,,,,, +
          +

          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

          +

          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

          +

          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

          +

          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

          +

          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

          +
          +
          ",,https://www.google.com/about/careers/applications/jobs/results/114991815353868998-software-developer-ii-site-reliability-development-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102864-software-developer-ii-site-reliability-development-google-cloud-at-google,,draft,2024-10-21T08:34:03.664Z,import-xml-feed:Google-Job-Feed,,,,,,, b60156f6-7cfc-4dd1-9f41-b3aa52594858,346258822,CN,"Intern, Accounting",on_site,"Ontario, Canada",2024-10-14T08:58:03.230Z,"

          At CN, we are committed to our pursuit ofexcellence. We take pride in delivering work of the highest standard,continually innovating to shape the railroad of the future. As responsiblerailroaders, we make the right decisions every time, putting safety first,acting with unwavering integrity, and holding ourselves accountable for ouractions. We believe in succeeding together—by fostering inclusivity andcollaboration, we sustainably deliver exceptional results for ourcustomers.
          We welcome students aboard to join our team andplay a valuable role in the engine that keeps the North American economy ontrack. Expect an exciting environment where you’ll be encouraged to learn,grow, and be recognized for your unique ideas and contributions. Work onpivotal projects with experienced collaborators who will encourage you to shareyour perspectives, and thrive in our close-knit, safety-focused culture. Thecareers we offer are meaningful because the work we do matters. Join us and getyour career moving!

          @@ -19593,6 +21264,90 @@ b60156f6-7cfc-4dd1-9f41-b3aa52594858,346258822,CN,"Intern, Accounting",on_site,"

          As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/14626?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-11-13T08:58:03.230Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258822-intern-accounting-at-cn,,draft,2024-10-14T08:58:03.230Z,import-xml-feed:Selenium-Scraper,,,,,,, +0a114c05-6c87-49b0-87ff-30e9603c7f71,347118827,Scotiabank,Global Banking and Markets - GAFE Financial Engineering Internship/Co-Op - Summer 2025,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:04.756Z,"

          +

          +

          +

          +

          Requisition ID: 209173

          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

          +

          +

          Term: May- September 2025

          +

          Application Deadline: November 1st 2024

          +

          +

          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

          +

          +

          As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

          +

          +

          Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

          +

          +

          Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

          +

          +

          +

          Is this role right for you? In this role, you will:

          +
          • Assist the development and testing of cutting-edge derivatives pricing models
          • Build quantitative tools for trading and structuring desks
          • Build and maintain infrastructure processes for new business lines
          • Ad hoc investigations for trading and marketing desks
          • Conduct Mark-to-Market impact and sensitivity analysis for different models
          • Provide support to the trading and sales desks
          • +
          +

          +

          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

          +
          • You are currently enrolled in post-secondary education.
          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
          • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
          • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
          • You have good math skills, knowledge of numerical methods and derivatives products a plus.
          • You have strong analytic and problem-solving skills.
          • You have strong interpersonal skills, results oriented and a team player.
          • You are able to work well in a fast-paced environment with changing priorities.
          • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
          • +
          +

          +

          What’s in it for you?

          +
          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
          • +
          +

          This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

          +

          +

          How do I apply?

          +

          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

          +

          +
          1. Complete your PLUM Profile here and save as a screenshot.
          2. Complete a short one-way video interview here.
          3. Complete a codility assessment here.
          4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
          5. +
          +

          +

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

          +

          +

          +

          Location(s): Canada : Ontario : Toronto

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2025-ON/585710017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:04.797Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347118827-global-banking-and-markets-gafe-financial-engineering-internship-co-op-summer-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2025-ON/585710017/,draft,2024-10-21T16:31:04.756Z,import-xml-feed:Scotiabank,,,,,,, +bdba1ce1-e6d2-4746-8baa-01ccf07d6f58,347118830,Scotiabank,Scotiabank Global Wealth Management Sponsorship Program - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville,2024-10-21T16:31:05.111Z,"

          +

          +

          +

          +

          Requisition ID: 208111

          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

          +

          +

          Term: Jan - April 2025

          +

          Application Deadline: 10/25/2024

          +

          +

          There's no better way to develop your career than to do a co-op or internship with Scotiabank Wealth Management! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

          +

          +

          +

          Profiles:

          +

          +

          Positions are available in the following job categories:

          +
          • Finance
          • Operations
          • Data Analytics
          • Sales & Client Relations
          • Strategy & Projects
          • Admin & Support
          • +
          +

          +

          +

          We’d love to work with you if:

          +

          +
          • You are currently enrolled in post-secondary education at George Brown College.
          • You self-identify as being from an equity deserving group such as being Black, Indigenous, and/or living with a disability.
          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
          • You have experience in finance, accounting, or economics
          • You are highly motivated, independent, innovative, and results-oriented
          • You have excellent written and verbal communication skills
          • You are proficient in MS Word, MS Excel and MS Access
          • You work well under pressure
          • You can lead high volume, time sensitive projects
          • +
          +

          +

          +

          What’s in it for you?

          +

          +
          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
          • +
          +

          +

          +

          How do I apply?

          +

          +

          Please complete all three steps below:

          +
          1. Complete your PLUM Profile here and save as a screenshot.
          2. Complete a short one-way video interview here.
          3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
          4. +
          +

          +

          We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

          +

          +

          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

          +

          +

          +

          Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville

          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

          ",,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:05.119Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118830-scotiabank-global-wealth-management-sponsorship-program-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,draft,2024-10-21T16:31:05.111Z,import-xml-feed:Scotiabank,,,,,,, 4197bdbb-f37f-48da-92c6-1cc44976e3fb,344839868,KPMG,"Manager, Banking-Capital Markets",on_site,"Toronto, Canada",2024-10-03T16:33:39.940Z,"Overview

          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

          We are seeking an experienced and dynamic professional to join our team as a Banking & Capital Markets Consulting Manager. In this pivotal role, you will be responsible for providing strategic consulting and transformation services to our clients in the financial services industry, focusing specifically on Capital Markets.


          What you will do

          KPMG’s Banking & Capital Markets (BCM) Consulting Practice helps clients develop winning strategies to support strategic business objectives, leveraging innovative technology and leading-edge capabilities to both create and capture lasting value.

          As a Manager in the Banking & Capital Markets Advisory practice at KPMG, you will play a critical role in leading client engagements, providing strategic insights, and delivering high-impact solutions. You will work with a diverse team of professionals to assist clients in navigating complex capital markets issues, enhancing their financial performance, and achieving their strategic objectives.

          Client Engagement Management: Manage multiple client engagements, ensuring high-quality delivery and client satisfaction. Serve as the primary point of contact for clients and build strong, long-term relationships

          Strategic Advisory: Support senior leadership to provide advisory to clients on a range of Capital Markets issues including regulatory compliance, risk management, transaction services, and financial strategy

          Project Leadership: Oversee the planning, execution, and completion of projects. Ensure projects are delivered on time, within budget, and meet the firm’s quality standards

          Team Leadership and Development: Mentor and develop junior team members, fostering a collaborative and inclusive team environment. Provide constructive feedback and support professional growth

          Market and Industry Analysis: Support client and KPMG stakeholders to conduct thorough research and analysis of market trends, regulatory changes, and industry developments to inform client strategies and recommendations

          Business Development: Participate and support new business opportunities pursuits by developing proposals, presenting to prospective clients, and contribute to the growth of the practice

          Stakeholder Communication: Communicate complex financial concepts and strategies effectively to a variety of stakeholders – internal and client

          Thought Leadership: Contribute to the firm’s thought leadership by writing thought papers and participating in professional networks


          What you bring to the role

          • 5-8 years of hands-on management consulting experience from a Big 4 or boutique consulting firm focusing on Capital Markets
          • University degree in business, management, operations, an MBA, or an equivalent degree from an accredited university
          • @@ -19767,9 +21522,235 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Quality-Manager%2C-Deloitte-Global-DDAI-ON/1219900400/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-16T16:38:01.678Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/346653034-data-quality-manager-deloitte-global-ddai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Quality-Manager%2C-Deloitte-Global-DDAI-ON/1219900400/,draft,2024-10-17T16:38:01.671Z,import-xml-feed:Deloitte-Job-Feed,,,,,,, -9cd45af9-a4f6-46c7-b017-e822981b5167,347102862,Google,"Senior Software Developer, Site Reliability Development, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.485Z,"
            +48513492-a094-4779-a086-99ebe56fc86a,345809284,BELL CANADA,Senior ServiceNow Architect,on_site,"Mississauga, Ontario, Canada",2024-10-10T21:25:03.336Z,"

            Req Id: 420773 

             

            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 
             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 
             

            Join us. You belong at Bell. 

             

            Be a critical part our Customer Operations team, which delivers world-class service and maintains thriving relationships with Bell customers. You will gain valuable experience and insights that you’ll use to address inquiries and concerns, provide technical assistance, process orders and service requests, manage customer accounts and ensure overall customer satisfaction.  

             

            As part of our team, will be at the heart of our customers’ experiences. 

             

            +
            +
            +

            +
            +

            We are searching for a highly skilled and experienced Solution Architect to join our team and drive the successful implementation of ServiceNow Customer Service Management within our ecosystem. The ideal candidate will possess a deep understanding of solution development within the ServiceNow platform, particularly in the realm of CSM, and will be responsible for leading the design, development, and implementation of innovative solutions. This role requires a strong technical background, proven leadership skills, and a commitment to delivering exceptional results.

            +
            +
            +
            +

            Key Responsibilities

            +
            +

            •    Lead the design, development, and implementation of ServiceNow CSM solutions, ensuring alignment with business requirements and best practices.
            •    Collaborate closely with stakeholders to understand business needs, translate them into technical requirements, and ensure effective communication throughout the implementation process.
            •    Develop and maintain comprehensive documentation for all ServiceNow CSM solutions, including technical specifications, design documents, and user guides.
            •    Conduct thorough testing and quality assurance activities to ensure the stability, performance, and security of all implemented solutions.
            •    Provide ongoing support and maintenance for ServiceNow CSM solutions, resolving issues and implementing enhancements as needed.
            •    Stay abreast of emerging trends and technologies in the ServiceNow platform, particularly in the realm of CSM, to ensure the continuous improvement of solutions.
            •    Mentor and guide junior team members, fostering a culture of knowledge sharing and continuous learning.
            •    Collaborate with other product and IT teams to ensure seamless integration of ServiceNow CSM solutions with existing systems and applications.
            •    Lead the development of ServiceNow CSM solutions that adhere to industry best practices and security standards.
            •    Contribute to the development and implementation of a comprehensive ServiceNow CSM strategy, aligning with the overall technology roadmap.

            +
            +
            +
            +

            Critical Qualifications

            +
            +

            •    Bachelor's degree in Computer Science, Information Technology, or a related field.
            •    5+ years of proven experience in software development using the ServiceNow platform, with a strong focus on CSM.
            •    In-depth knowledge of ServiceNow CSM modules, including Case Management, Incident Management, Order Management, and Customer Profile.
            •    Strong understanding of ServiceNow development methodologies, including scripting, workflows, and integrations.
            •    Experience with Agile development methodologies and tools, such as Scrum and Kanban.
            •    Proven ability to design, develop, and implement complex ServiceNow CSM solutions.
            •    Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
            •    Strong analytical and problem-solving skills, with the ability to identify and resolve complex technical issues.
            •    Ability to work independently and as part of a team, collaborating effectively with colleagues and stakeholders.
            •    Possession of relevant ServiceNow certifications, such as Certified Application Developer (CAD), Certified Implementation Specialist (CIS), or Certified System Administrator (CSA).

             

            +
            +

             

            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec. 

             

            Additional Information:

            Position Type: Management

            Job Status: Regular - Full Time

            Job Location: Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Ontario : Mississauga || Canada : Quebec : Montreal 

            Work Arrangement: Hybrid

            Application Deadline: 10/31/2024

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.


            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            Created: CanadaON, Toronto

             

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420773EXTERNALENCA/Senior-ServiceNow-Architect?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-09T21:25:03.374Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345809284-senior-servicenow-architect-at-bell-canada,BECACA420773EXTERNALENCA,draft,2024-10-10T21:25:03.336Z,import-xml-feed:Bell-Canada,,,,,,, +6c209587-eb97-4a05-b944-bbf547d5f919,345449111,BELL CANADA,2025 Internship Program- Engineering,on_site,"Thunder Bay, Ontario, Canada",2024-10-07T21:25:03.776Z,"

            ​Req Id: 420078


            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


            Join us. You belong at Bell. 

             

            Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads and interns attending exclusive events and networking opportunities. 

             

            At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

             

            +
            +
            +

            +
            +

            This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

            +
            +
            +
            +

            Why join us?

            +
            +
            +
              +
            • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
            • +
            • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
            • +
            • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
            • +
            • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
            • +
            • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
            • +
            • Develop your technical and leadership skills through formal and experiential training programs.
            • +
            • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
            • +
            +

             

            +

            What you’ll do

            +

             

            +

            Join the Engineering team where you’ll be making an impact on some of our most critical assets. You’ll have the opportunity to be hands-on in Bell’s tech transformation, supporting project management and agile methodologies in a construction environment. Engineering also includes important work in network architecture focused on radio communications, network architectures, data analytics, and cloud technologies or design and wireless systems.

            +

             

            +

            What we’re looking for

            +

             

            +

            Within our Engineering function, we have several opportunities available. For more details on each of the below roles, click here.

            +

             

            +
              +
            • Access Network Engineering
            • +
            • Network Architecture and Engineering
            • +
            • Construction Project Management
            • +
            • Technology Specialist (Network)
            • +
            +
            +
            +
            +
            +

            Requirements

            +
            +
              +
            • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in engineering, engineering science/physics, or related fields (if you believe you are up for the challenge with a different degree/diploma, you are welcome to apply).
            • +
            • +You have a desire to expand your knowledge in any of the following fields:
                +
              • Project management and Agile methodologies in a construction environment
              • +
              • Network architecture and design (hardware and software), routing protocols and principles
              • +
              • Broadcast, data centre and/or cloud technologies
              • +
              • Radio communications and/or wireless systems
              • +
              • Project management and Agile methodologies
              • +
              +
            • +
            +
            +
            +
            +

            Leadership skills

            +
            +
              +
            • +You are willing to  challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers. +
            • +
            • +You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together. +
            • +
            • +You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. +
            • +
            • You gain the trust of your teams, being known for demonstrating fairness and respect.
            • +
            • +You promote belonging and are flexible, accountable and collaborative. +
            • +
            • +You are committed to growing your skills and learning from others. +
            • +
            +
            +
            +
            +

            Applying is simple

            +
            +
            +

            Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

            +

             

            +
              +
            1. Review our programs and indicate up to three role choices in your application.
            2. +
            3. Complete your video interview within 48 hours.
            4. +
            5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
            6. +
            7. If selected from previous step, you will be invited to a virtual panel interview.
            8. +
            +

             

            +

            Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

            +

             

            +

            Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

            +
            +
            +

            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec.

             

            Additional Information:
            Position Type: Management 
            Job Status: Intern 
            Job Location: Canada : Ontario : London || Canada : New Brunswick : Moncton || Canada : Newfoundland : St. John's || Canada : Nova Scotia : Halifax || Canada : Ontario : Barrie || Canada : Ontario : Belleville || Canada : Ontario : Huntsville || Canada : Ontario : Kingston || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Nepean || Canada : Ontario : Ottawa || Canada : Ontario : Peterborough || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto || Canada : Prince Edward Island : Charlottetown || Canada : Quebec : Montreal || Canada : Quebec : Sherbrooke 
            Work Arrangement: Hybrid
            Application Deadline: 11/03/2025

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

             

            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            #CampusEng24

             

            Created: Canada, ON, Mississauga

             

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420078EXTERNALENCA/2025-Internship-Program-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T21:25:03.783Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345449111-2025-internship-program-engineering-at-bell-canada,BECACA420078EXTERNALENCA,draft,2024-10-07T21:25:03.776Z,import-xml-feed:Bell-Canada,,,,,,, +37d17536-df69-41bc-b56c-f7064f8c2cac,347468577,BMO Financial Group,"Manager, Customer Insights & Reporting",on_site,"Ontario, Canada",2024-10-24T08:18:02.064Z,"
            +

            Application Deadline:

            11/09/2024

            +

            +

            Address:

            33 Dundas Street West

            +

            +

            Job Family Group:

            Data Analytics & Reporting

            +

            +

            +

            +

            +

            The Manager, Customer Insights and Reporting is responsible for the development, production, and ownership of customer metrics and reporting across Personal banking.

            +

            +

            The individual will have an end-to-end project accountability. Beginning with understanding the business KPIs, they will leverage expertise in process design to determine an efficient and optimal process for delivering reporting results. Development will include structuring the data flow and setting up automation. Ownership will continue post-implementation and include investigations, improvements, and partner relations.

            +

            +

            Key Accountabilities

            +

            Analytic Capabilities & Critical Thinking

            +
              +
            • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
            • +
            • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
            • +
            • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
            • +
            • Be a practitioner of data best practices including QA, stable design, code optimization, and automation techniques.
            • +
            • Design and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.
            • +
            +

            +

            Design and Delivery of Performance Reporting and Dashboards

            +
              +
            • Responsible for performance measurement reporting and visualization that monitors overall and incremental impact of customer growth in quantity and quality.
            • +
            • Lead the definition, creation and maintenance of standardized dashboards and performance reporting for Customer Insights and business partners.
            • +
            • Refine design proposals in collaboration with various stakeholders in Personal banking.
            • +
            • Apply thoughtful consideration to the best way to present complex materials in a consumable way.
            • +
            • Create new analyses and/or tools that deliver customer insights that enable business users to further their objectives.
            • +
            +

            +

            Leadership and Relationship Management

            +
              +
            • Work collaboratively with other analytics teams and business subject matter experts to refine personal understanding and ensure consistency in reporting and design.
            • +
            • Establish and communicate standards for accurate business requirement, technical specification and work process documentation associated with our metrics and reporting.
            • +
            • Engage with business partners to ensure needs are met, update on delivery status, and provide transparency and clarity to results.
            • +
            • Leverage consultative skills and knowledge of best-practices to provide guidance and consultative sessions with partners to share insights and recommendations rooted in data. Use these sessions to flag potential areas for deeper investigation, growth, or prioritization.
            • +
            • Consult with and deliver results to partners within tight time constraints that consistently meet or exceed their expectations.
            • +
            +

            +

            Risk Management

            +
            • Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements
            +

            +

            Cross Functional Relationships

            +

            This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders:

            +
            • Managers and Senior Managers of Line of Business including:
                +
              • Analytics Centre of Excellence and all associated teams within
              • +
              • Canadian P & C Product groups
              • +
              • Customer Marketing
              • +
              • NA Channels
              • +
              • Technology and Operations
              • +
              • P&C Distribution - Sales & Service Divisions and North American Contact Centres
              • +
              +
            +

            +

            +

            Knowledge & Skills

            +

            +

            Knowledge

            +
              +
            • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
            • +
            • 3+ years of applicable experience.
            • +
            • Strong foundation in data and analysis.
            • +
            • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
            • +
            • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
            • +
            +

            +

            Skills

            +
              +
            • Expert proficiency in SQL, Excel, PPT.
            • +
            • Proficiency in SAS EG coding.
            • +
            • Strong communication skills (verbal & written); ability to provide concise, clear reporting, actionable analysis and presentations.
            • +
            • Ability to interact with all levels of end users and technical resources.
            • +
            • Experience in data visualization preferred, including visualization software such as Power BI, Microsoft Reporting Services, Spotfire or Tableau.
            • +
            • Creative problem-solving skills
            • +
            • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
            • +
            • Self-motivation and the capacity to work under pressure and tight deadlines.
            • +
            • Proven ability to self-check work to ensure results are error-free
            • +
            • Ability to plan, organize and work on multiple tasks simultaneously
            • +
            • Technical experience working in analytical software, and business software (Excel, PowerPoint, Word)
            • +
            +

            +
            +

            +

            Salary:

            +
            $68,000.00 - $126,000.00

            +

            Pay Type:

            Salaried

            +

            The above represents BMO Financial Group’s pay range and type.

            +

            +

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            +

            +

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            +

            +

            +

            We’re here to help

            +

            +

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            +

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            +

            To find out more visit us at https://jobs.bmo.com/ca/en.

            +

            +

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            +

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Customer-Insights---Reporting_R240021274-2?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-23T08:18:02.095Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468577-manager-customer-insights-reporting-at-bmo-financial-group,,draft,2024-10-24T08:18:02.064Z,import-xml-feed:BMO-Job-Feed,,,,,,, +283a4eb0-c3dc-487c-b44c-c61e27f41cab,347468857,Google,Data Transformation Lead,on_site,"Toronto, ON, Canada",2024-10-24T08:34:02.730Z,"
            -

            Senior Software Developer, Site Reliability Development, Google Cloud

            +

            Data Transformation Lead

            @@ -19788,7 +21769,7 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D
            -corporate_fareGoogleplaceWaterloo, ON, Canada
            +corporate_fareGoogleplaceToronto, ON, Canada
            @@ -19802,7 +21783,7 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D
            -Apply
            +Apply
            @@ -19824,46 +21805,43 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D

            Minimum qualifications:

              -
            • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
              -
            • -
            • 5 years of experience with software development in one or more programming languages.
              -
            • -
            • 5 years of experience with data structures or algorithms.
              +
            • Bachelor\'s degree or equivalent practical experience.
            • -
            • 3 years of experience in designing, analyzing, and troubleshooting distributed systems, and 2 years of experience leading projects and providing technical leadership.
              +
            • 5 years of experience in media analytics, advertising sales, digital media and marketing, or consulting, or 3 years with an advanced degree.

            Preferred qualifications:

              -
            • Master\'s degree in Computer Science or Engineering.
              +
            • Experience in identifying how data infrastructures, promoting AdTech and MarTech solutions, can lead to business value.
            • -
            • Experience as a technical leader.
              +
            • Experience in working with sales and cross-functional teams and influence key, executive stakeholders internally and externally across all levels.
            • -
            • Experience with AI/ML systems.
              +
            • Experience in working with Google products (e.g., Google Ads, DV360, Campaign Manager, Google Analytics, Ads Data Hub or Google Cloud) or similar products.
            • -
            • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
            • -
            • Ability to debug, optimize code, and automate routine tasks.
              +
            • Experience with Big data and data warehouses (e.g., demand-side platforms (DSPs), customer data platforms (CDPs), and data management platforms (DMPs), targeting, etc.).
              +
            • +
            • Excellent written and verbal communication skills.
            • -
            • Excellent leadership and cross-functional skills.

            About the job

            -

            Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users\' needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation.

            On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

            Site Reliability Developers culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

            To learn more: check out our books on Site Reliability Development, watch a recorded Hangout on Air to meet some of our Site Reliability Developers, or read a career profile about why a Software Developer chose to join Site Reliability Development.

            -

            We help Protected Data by driving reliability, resiliency, and efficiency efforts throughout the lifecycle of end-user data. Privacy Indexing Site Reliability Development\'s goal is to make data processing product offerings within Protected Data self-sustaining, self-healing, efficient, and requiring minimal operational cost.

            -

            Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

            +

            Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

            +

            In this role, you will solve issues as a trusted data, measurement and analytics advisor to influence business decisions and prove Google’s value through data and measurement expertise. You will help some of the largest global companies achieve their goals by promoting and leading critical data and infrastructure projects during a moment of profound industry transformation. You develop a vision for future innovations and business value derived from clients and Google data.

            +

            Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

            Responsibilities

              -
            • Define, lead and drive to completion Protected Data\'s infrastructure resiliency and scalability efforts.
              -
            • -
            • Identify opportunities for horizontal resiliency improvements in Protected Data and infrastructure partners (e.g., storage and platform teams).
              +
            • Design the digital measurement infrastructure strategy and help customers evolve with industry and ecosystems to achieve customer business objectives.
            • -
            • Collaborate with Protected Data leads to introduce AI/ML to the organization.
              +
            • Identify, cultivate, and own marketing, data science and technology team relationships within advertisers and agency partners. Develop executive business partnerships with strategic customers and internal cross-functional teams.
            • -
            • Participate regularly in a tier 1 oncall rotation, including complex incident coordination, distributed system debugging, implementing technical mitigations and long term fixes, as well as blameless postmortem authoring.
            • -
            • Define engagement model for infrastucture-level integrations.
              +
            • Help clients to derive increased value from current and potential data, looking at current and future business opportunities that data transformation can unlock.
              +
            • +
            • Work cross-functionally with Sales, Product/Technical specialists, and Google partners to synthesize technical and strategic business requirements into business cases.
              +
            • +
            • Own the business cycle to drive customer adoption and growth of Google’s solutions. Develop and manage a business pipeline for product adoption progress across the book of business.
            @@ -19874,10 +21852,10 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -
            ",,https://www.google.com/about/careers/applications/jobs/results/88383879580132038-senior-software-developer-site-reliability-development-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.495Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102862-senior-software-developer-site-reliability-development-google-cloud-at-google,,draft,2024-10-21T08:34:03.485Z,import-xml-feed:Google-Job-Feed,,,,,,, -8e330912-6e94-49d7-9448-d789034c2377,347102864,Google,"Software Developer II, Site Reliability Development, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.664Z,"
            +
            ",,https://www.google.com/about/careers/applications/jobs/results/100903570735276742-data-transformation-lead?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:02.741Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468857-data-transformation-lead-at-google,,draft,2024-10-24T08:34:02.730Z,import-xml-feed:Google-Job-Feed,,,,,,, +cd41b74e-c066-4e4e-9f0b-48ff217bdeac,347468862,Google,"Senior Software Developer, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-24T08:34:03.218Z,"
            -

            Software Developer II, Site Reliability Development, Google Cloud

            +

            Senior Software Developer, Infrastructure, Google Cloud Platforms

            @@ -19896,21 +21874,21 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D
            -corporate_fareGoogleplaceWaterloo, ON, Canada
            +corporate_fareGoogleplaceToronto, ON, Canada
            -bar_chartEarly +bar_chartMid
            -

            Early

            -
            Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
            +

            Mid

            +
            Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
            -Apply
            +Apply
            @@ -19932,29 +21910,33 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D

            Minimum qualifications:

              -
            • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
              -
            • -
            • Experience with data structures/algorithms and software development in one or more programming languages.
              +
            • Bachelor’s degree or equivalent practical experience.
            • +
            • 5 years of experience with software development in C++, and with data structures/algorithms.
            • +
            • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
            • +
            • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

            Preferred qualifications:

            -
            • Master\'s degree in Computer Science or Engineering.
              -
            +
              +
            • Master\'s degree or PhD in Computer Science or related technical field.
            • +
            • 1 year of experience in a technical leadership role.
            • +
            • Experience developing accessible technologies.
            • +

            About the job

            -

            Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google Cloud\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer\'s needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance.

            Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. Site Reliability Developments culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

            -

            With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

            -

            +

            Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

            +

            Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our developers\' developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

            +

            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

            Responsibilities

              -
            • Write product or system development code.
            • +
            • Write and test product or system development code.
            • +
            • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
            • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
            • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
            • -
            • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
            • -
            • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
            • +
            • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
            @@ -19964,397 +21946,592 @@ bfb6ed41-c30a-4eb9-aac9-a2cc6794c79e,346653034,Deloitte,"Data Quality Manager, D

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -
            ",,https://www.google.com/about/careers/applications/jobs/results/114991815353868998-software-developer-ii-site-reliability-development-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T08:34:03.685Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/347102864-software-developer-ii-site-reliability-development-google-cloud-at-google,,draft,2024-10-21T08:34:03.664Z,import-xml-feed:Google-Job-Feed,,,,,,, -0a114c05-6c87-49b0-87ff-30e9603c7f71,347118827,Scotiabank,Global Banking and Markets - GAFE Financial Engineering Internship/Co-Op - Summer 2025,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:04.756Z,"

            -

            -

            -

            -

            Requisition ID: 209173

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Term: May- September 2025

            -

            Application Deadline: November 1st 2024

            -

            -

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

            -

            -

            Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

            -

            -

            Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

            -

            -

            -

            Is this role right for you? In this role, you will:

            -
            • Assist the development and testing of cutting-edge derivatives pricing models
            • Build quantitative tools for trading and structuring desks
            • Build and maintain infrastructure processes for new business lines
            • Ad hoc investigations for trading and marketing desks
            • Conduct Mark-to-Market impact and sensitivity analysis for different models
            • Provide support to the trading and sales desks
            • +
            ",,https://www.google.com/about/careers/applications/jobs/results/140951875175228102-senior-software-developer-infrastructure-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-23T08:34:03.226Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468862-senior-software-developer-infrastructure-google-cloud-platforms-at-google,,draft,2024-10-24T08:34:03.218Z,import-xml-feed:Google-Job-Feed,,,,,,, +24ba31f9-371b-44db-a241-282aec0edda5,347469165,OMERS,Financial Analyst,on_site,"Ontario, Canada",2024-10-24T08:58:02.060Z,"
            +

            Choose a workplace that empowers your impact.

            +

            Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

            +

            +

            We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

            +

            +

            Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

            +

            +

            Don’t just work anywhere — come build tomorrow together with us.

            +

            +

            Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

            +

            +

            +

            We are looking for a Financial Analyst with strong financial accounting and analytical skills to join our growing team in Toronto. In this role, you will have ownership over a portfolio of real estate assets located in Oxford’s US group; you will gain a full understanding of their operations. For this portfolio, you will be accountable for a diverse set of activities, including full cycle accounting and reporting, real estate performance analysis, certain aspects of consolidated regional reporting and analysis, financial planning, and ad hoc support related to transaction activity.

            As a member of this team, you will be responsible for:
            Financial Reporting:

            +
              +
            • Financial reporting for various US properties including timely and accurate recording of monthly results obtained from service providers;
            • +
            • Financial reporting for certain corporate structures including timely and accurate recording of monthly results obtained from service providers;
            • +
            • Month end review and reporting to Corporate Consolidations team: preparation of journal entries, bank reconciliations, month end key indicator and variance analysis against budgets, equity, investment and intercompany account reconciliations, cash management, general and administrative expense analysis, foreign exchange analysis etc.;
            • +
            • Preparation of various financial information for Joint Venture partners;
            • +
            • Preparation of standalone and consolidated financial statements or review of financial statements prepared by third party service providers in various jurisdictions, ensuring consistent application of accounting standards in accordance with local GAAP or IFRS;
            • +
            • Coordination of interim and year-end audits for various entities;
            • +
            • Technical analysis to ensure appropriate accounting treatment for acquisitions and dispositions; and
            • +
            • Completing ad-hoc analyses as required by management.
            -

            -

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            -
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
            • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
            • You have good math skills, knowledge of numerical methods and derivatives products a plus.
            • You have strong analytic and problem-solving skills.
            • You have strong interpersonal skills, results oriented and a team player.
            • You are able to work well in a fast-paced environment with changing priorities.
            • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
            • +

              +

              Financial Planning & Analysis and Operational Support:

              +
                +
              • Prepare and analysis of annual operating plans and quarterly reforecasts with our various US teams and asset managers; and
              • +
              • Assisting with the execution of portfolio strategies related to the International investments, including supporting the investments team on the execution of transactional activity.
              -

              -

              What’s in it for you?

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • +


                Process Innovation and Controls:

                +
                  +
                • Participation in projects with a focus on continuous improvement and making recommendations for efficiencies in day to day responsibilities; and
                • +
                • Ensure compliance with Oxford’s processes and controls.
                -

                This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                -

                -

                How do I apply?

                -

                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                -

                -
                1. Complete your PLUM Profile here and save as a screenshot.
                2. Complete a short one-way video interview here.
                3. Complete a codility assessment here.
                4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                5. -
                -

                -

                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                -

                -

                -

                Location(s): Canada : Ontario : Toronto

                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2025-ON/585710017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:04.797Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/347118827-global-banking-and-markets-gafe-financial-engineering-internship-co-op-summer-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2025-ON/585710017/,draft,2024-10-21T16:31:04.756Z,import-xml-feed:Scotiabank,,,,,,, -bdba1ce1-e6d2-4746-8baa-01ccf07d6f58,347118830,Scotiabank,Scotiabank Global Wealth Management Sponsorship Program - Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville,2024-10-21T16:31:05.111Z,"

            -

            -

            -

            -

            Requisition ID: 208111

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Term: Jan - April 2025

            -

            Application Deadline: 10/25/2024

            -

            -

            There's no better way to develop your career than to do a co-op or internship with Scotiabank Wealth Management! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            -

            Profiles:

            -

            -

            Positions are available in the following job categories:

            -
            • Finance
            • Operations
            • Data Analytics
            • Sales & Client Relations
            • Strategy & Projects
            • Admin & Support
            • +

              +

              To succeed in this role, you:

              +
                +
              • Have a University degree in accounting or business administration
              • +
              • Have completed or are working towards the CPA designation
              • +
              • Have a minimum of 2 years of experience in accounting, real estate management company experience preferred but not required
              • +
              • Excel in working in a fast pace, dynamic environment and have demonstrated time management and organizational skills, and an ability to prioritize responsibilities
              • +
              • Have experience working in a large international organization with a complex organizational structure and in a multi-currency environment Proficiency in Microsoft Word, Excel, and Outlook required, and exposure to JD Edwards and Hyperion Financial Management (HFM) is considered an asset
              • +
              • Are analytical and have the ability to produce analysis with appropriate style and language to support conclusions
              • +
              • Have high attention to detail and accuracy and strong follow-up skills
              • +
              • Have strong written and verbal communication skills
              • +
              • Have strong management/improvement kills with a mindset for continuous improvement
              • +
              • Embrace collaborative sharing of knowledge within a team environment
              • +
              • Are driven to achieving results and continuously striving to deliver the highest performance through critical thinking
              -

              -

              -

              We’d love to work with you if:

              -

              -
              • You are currently enrolled in post-secondary education at George Brown College.
              • You self-identify as being from an equity deserving group such as being Black, Indigenous, and/or living with a disability.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
              • You have experience in finance, accounting, or economics
              • You are highly motivated, independent, innovative, and results-oriented
              • You have excellent written and verbal communication skills
              • You are proficient in MS Word, MS Excel and MS Access
              • You work well under pressure
              • You can lead high volume, time sensitive projects
              • +

                +

                +

                Oxford\'s purpose is to strengthen economies and communities through real estate.

                +

                Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

                +

                +

                From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Financial-Analyst_JR-6630?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-23T08:58:02.060Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469165-financial-analyst-at-omers,,draft,2024-10-24T08:58:02.060Z,import-xml-feed:Selenium-Scraper,,,,,,, +d896bace-9c5f-4de7-a68b-4f2638be7d0d,345766012,CIBC,"Analyst, Simplii Digital Expansion",on_site,"Ontario, Canada",2024-10-10T10:04:02.615Z,"
            +

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            +

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            +

            +

            To learn more about CIBC, please visit CIBC.com

            +

            +

            +

            What You’ll Be Doing

            As an Analyst, Simplii Digital Expansion, you’ll support the Director in the ongoing on-site & off-site analyses to identify, prioritize & execute campaign, project release, and evergreen A/B testing, personalization & optimization tactics. You’ll focus on personalized solutions to create relevant, targeted experience for our clients as they engage with our websites and mobile apps – based on continuous experiments. As an Analyst, you’ll also be accountable for recommending, influencing, and implementing digital channel personalization & testing opportunities based on data driven insights.

            +

            +

            At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

            +

            +

            How You’ll Succeed

            +
              +
            • Digital Implementation: You’ll support the execution of Simplii’s Digital Sales roadmap that supports a strong client experience including a personalization and cross channel strategy with the objective of increasing digital sales & engagement. You’ll review customer journeys and segments across digital channels to provide recommendations on how to optimize the customer experience and drive sales. Using your strong partnership skills, you’ll identify new digital sales opportunities to address current or potential sales gaps.

            • +
            • Collaboration & Campaign Management: You’ll support ongoing campaign and evergreen site analysis with the objective of identifying immediate and future ad, page, tool and application optimization opportunities. You’ll participate in discussions with key product groups and partners to review current on-site & off-site digital sales performance while proactively identifying next step campaign & optimization recommendations. Working in an agile environment, you’ll work with a cross functional team to support marketing campaign sprint cycles with the focus on achieving key performance targets.

            • +
            • Analysis: You’ll pull analytics from data visualization platforms and provide ongoing and final campaign test reports to key stakeholders, and maintain a test library. After a launch, you’ll track work with an iterative test, learn and optimize approach and continue to bring forward emerging machine learning trends and recommended tactics.

            • +
            • Relationship Management: You’ll create and manage functional relationships between Digital Expansion team and product partners across all Simplii products to ensure campaigns meet growth objectives and product goals. You’ll work with other CIBC teams including marketing communications, contact centre, CIBC digital, Payments, and technology to ensure all Simplii partners are supported.

            -

            -

            -

            What’s in it for you?

            -

            -
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +

              +

              Who You Are

              +
                +
              • You have a degree/diploma in Marketing, Business, Communications, Computer Science or related field.

              • +
              • You have demonstrated experience using marketing optimization tools and are proficient in using them to drive owned onsite digital campaign performance. You have developed digital sales roadmaps that integrate current & future marketing, sales and analytics capabilities.

              • +
              • You have demonstrated experience in creating and implementing cross-channel optimization and personalization strategies. It\'s an asset if you are experienced with Braze and the Adobe Marketing Cloud platforms.

              • +
              • You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making. You bring strong analytical skills including a track record of making recommendations based on data driven business insights.

              • +
              • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.

              • +
              • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. You bring technical knowledge specific to digital marketing & analytics including working experience with Braze, Adobe, Salesforce, and Ada or other industry tools.

              • +
              • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. You can partner and work closely with internal and external business partners to assess and recommend plans of action.

              • +
              • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

              -

              +

              +

              What CIBC Offers

              +

              +

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              +
                +
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

              • +
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • +
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • +
              +

              +

              *Subject to plan and program terms and conditions

              +

              +

              What you need to know

              +
                +
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • +
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • +
              • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

              • +
              +

              +

              +

              +

              +

              +

              Job Location

              Toronto-161 Bay St., 4th

              +

              Employment Type

              Regular

              +

              Weekly Hours

              37.5

              +

              Skills

              Marketing Campaigns
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Simplii-Digital-Expansion_2420634?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-17T10:09:04.958Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345766012-analyst-simplii-digital-expansion-at-cibc,,draft,2024-10-10T10:04:02.615Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +b5d2f94c-082d-46c1-b00a-8e5321be36b8,345788009,Scotiabank,"Senior Manager, Collections Strategies and Analytics, Retail Credit Risk",on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.453Z,"

            -

            How do I apply?

            -

            Please complete all three steps below:

            -
            1. Complete your PLUM Profile here and save as a screenshot.
            2. Complete a short one-way video interview here.
            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            4. -

            -

            We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

            +

            Requisition ID: 208589

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

            +

            Retail Credit Risk Collections is at the forefront of developing innovative solutions that significantly impact the Bank’s profitability. This is achieved through the use of advanced data management techniques, collections efficiency, and disciplined risk governance.

            -

            -

            Location(s): Canada : Ontario : Toronto || Canada : Ontario : Burlington || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Oakville

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:05.119Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118830-scotiabank-global-wealth-management-sponsorship-program-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Scotiabank-Global-Wealth-Management-Sponsorship-Program-Winter-2025-ON/585018917/,draft,2024-10-21T16:31:05.111Z,import-xml-feed:Scotiabank,,,,,,, -fbca08c2-9c36-4750-8438-3dadf2725c8a,344287951,Scotiabank,"Director Application Development, AML Technologies",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:02.956Z,"

            -

            -

            -

            -

            Requisition ID: 202904

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Global AML Alignment

            -

            Scotiabank’s AML Technology team is responsible for running global services that provide the detection and investigation capabilities to meet our Global AML regulatory requirements in the different jurisdictions that Scotiabank operates in. We do this in partnership with the Global AML business to deliver core business capabilities to the enterprise. We work with the different technology teams as we provide an integrated solution both locally and with other global systems team. We support the Investigation Units that support the Global AML space as well.

            -

            -

            Role

            -

            As the Director of AML Technology, Application Development, the incumbent will be responsible for overseeing the delivery of essential software solutions and management of the key platforms and capabilities that our Business Partners rely on to adhere to regulatory commitments and to protect our customers.

            -

            The incumbent will act as the Technical Value Stream owner and be the central point of contact to the Business Product owners for the end-to-end implementation of enhancements on the common AML services, while continually maturing the business capabilities.

            -

            The incumbent's role involves leading a team of dedicated software engineers / developers, providing guidance, mentorship, and support to ensure their success in developing and maintaining various software applications. The incumbent establishes and maintains standard operating procedures, ensuring consistency and adherence to best practices across all operational activities.

            -

            The incumbent collaborates closely with cross-functional teams, including other IT support specialists, and project managers, to facilitate seamless integration of new applications and updates. The incumbent also liaises with external vendors and other internal partners to address any issues or concerns related to application performance, availability, and functionality.

            -

            Overall, the incumbent plays a pivotal role in ensuring the reliability, performance, and usability of critical software applications, ultimately contributing to the organization's overall success and growth.

            -

            -

            Accountabilities

            -

            Leading and Partnering

            -
            • Team Leadership: The incumbent is responsible for leading and managing the application developers & technical Bas, including hiring, training, performance management, and fostering a collaborative and high-performing team culture.
            • Relationship Management: The incumbent will act as the Technical Value Stream owner, providing an end-to-end central point of contact for all AML Technology services, including Data and Quality Testing Services, that support each of the respective Business Value Stream owners.
            • Vendor Management: The incumbent manages relationships with third-party vendors and service providers, ensuring that contractual obligations are met and that vendors deliver high-quality services and support for applications.
            • Stakeholder Communication: The incumbent communicates regularly with internal stakeholders, including IT leadership, business users, providing updates on application performance, incident resolution, and ongoing support, and project delivery activities.
            • Continuous Learning and Development: The incumbent fosters a culture of continuous learning and development within the team, encouraging skill enhancement and professional growth to keep pace with evolving technologies and industry trends.
            • +

              As the Senior Manager of Collections Strategies and Analytics, you will be a pivotal leader with exceptional collaboration and communication skills, capable of managing multiple priorities in a fast-paced, entrepreneurial environment. You will leverage cutting-edge data management and analytics techniques to drive the success of the Collections function by defining, implementing, and tracking best-in-class collections strategies. Your role will focus on improving processes and driving business value through data-driven insights and technological advancements. You will work at the intersection of data management, process improvement, communication, and domain knowledge in Retail Risk Management, ensuring consistent process execution and oversight. This position is ideal for a rigorous logical thinker who is curious, flexible, and an excellent team player.

              +

              +

              Is this role right for you? In this role, you will:

              +

              +
              • Direct the development and implementation of data-driven strategies for collections, integrating cutting-edge technological improvements.
              • Utilize data-driven insights to provide actionable recommendations to stakeholders, aimed at minimizing loan losses, optimizing collections, and enhancing operational efficiency.
              • Identify, quantify, and report all credit risks associated with collections, ensuring comprehensive risk management across all components (People, Data, Process, Technology, and Strategy). Demonstrate a strong understanding of portfolio performance metrics and originations metrics.
              • Oversee the acquisition, processing, and analysis of both structured and unstructured data to support robust reporting and analytics. Ensure data integrity and accuracy through effective data governance practices.
              • Design, build, and maintain scalable data pipelines and ETL processes to support data analytics and reporting needs. Implement data warehousing solutions to consolidate and manage large datasets efficiently.
              • Develop and implement automated solutions for repetitive tasks and processes to improve efficiency and accuracy. Utilize scripting and automation tools to streamline data processing and reporting workflows.
              • Create and automate detailed performance reports and dashboards to provide real-time insights to stakeholders. Develop early warning systems to monitor and guide collection efforts effectively.
              • Lead projects focused on leveraging data analytics to improve collection efforts and recovery rates. Collaborate with data scientists and analysts to develop and deploy advanced analytical models.
              • Recommend and implement process enhancements using a test/control framework to drive data-informed decisions that boost profitability. Continuously seek opportunities to optimize and automate processes.
              • Develop and implement policies to support customers in need of loan modifications, based on rigorous data analysis.
              • Monitor and guide collection efforts through detailed performance reports and early warning systems. Ensure that all reporting is accurate, timely, and actionable.

              -

              Data & Reporting

              -

              Data Custodian: The incumbent will also act as the Data Custodian for their respective Technical Value Stream accountability, and contribute to the mobilization of AML Data domain by supporting the implementation activities included in scope of the AML domain and sub-domains such as:

              -
                • Identification of data elements and registration of critical data elements
                • Identification and registration of data sources
                • Definition of data requirements including business, technical and operational metadata, creating data flows and lineage
                • Implementation of data controls to accurately reconcile data between source and target including reporting and dashboards.
              • +

                Do you have the skills that will enable you to succeed? We’d love to work with you if you have:

                +

                +
                • Master’s degree in Business, Economics, Finance, Industrial Engineering, Mathematics, Computer Science, or a related discipline.
                • Strong background in quantitative analysis and data management.
                • Expertise in database management and data analytics tools such as SQL, Power BI, and Tableau.
                • Proficiency in data engineering, including designing, building, and maintaining scalable data pipelines and ETL processes.
                • Experience with large and complex databases.
                • Advanced skills in automation tools and scripting languages (e.g., Python, R) to automate repetitive tasks and reporting workflows.
                • Familiarity with TRIAD or similar collections risk platforms is highly desired.
                • Proficiency in data science, artificial intelligence, and cloud computing.
                • Knowledge of cybersecurity principles and practices.
                • 5 years of experience in retail risk portfolio management, collections, or provisions.
                • Strong quantitative analysis skills applied to portfolio metrics.
                • Proven experience in data analytics, process improvement, and automation.
                • Demonstrated expertise in developing and implementing automated solutions to enhance efficiency and accuracy.
                • Proven leadership experience in managing and mentoring teams.
                • Ability to foster a collaborative and inclusive team environment.
                • Strong decision-making skills with the ability to drive projects to successful completion.
                • Experience in setting clear goals, providing feedback, and supporting professional development of team members.
                • Excellent conflict resolution and problem-solving skills.
                -

                The Data Custodian works closely, and coordinates with members of each Domain Working Group to comply with the Bank’s Enterprise Data Management Policy Framework.

                -

                Risk Management

                -
                • The incumbent manages the analysis, data, and follow-through on risks identified through Risk Assessments, Compliance Testing results, Internal Audits, exam findings, and management control assessments. The incumbent will be accountable to develop and monitor action plans to address the global or local technology risks identified.
                • +

                  +

                  What’s in it for you?

                  +

                  +
                  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
                  • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
                  • Your career matters! You will have access to career development and progression opportunities.
                  +

                  -
                  • Compliance and Security Standards: The incumbent ensures that application development practices comply with relevant Bank Enterprise and Security standards, implementing appropriate controls and measures to safeguard sensitive data and mitigate risks.
                  • Application Management & Oversight: The incumbent is accountable to ensure that their respective portfolio of applications adheres to the established performance and availability service level agreements (SLAs), are operating efficiently & reliably, and meeting business expectations.
                  • The incumbent is also accountable to establish and maintain a technology roadmap for each of their respective application domains, aligned to Enterprise Architecture Standards, while supporting the Business roadmap expectations.
                  • Incident & Problem Management: The incumbent is accountable for resolving incidents and issues escalated from Level 1-2 Application Operations Services, coordinating with both internal and external stakeholders where required to ensure timely resolution and minimal disruption to business operations.
                  • Process Improvement: With a focus on continuous improvement, the incumbent regularly evaluates current processes, identifies areas for optimization, and implements best practices and automation tools to increase efficiency and reduce manual effort. The incumbent leverages data-driven insights and metrics to make informed decisions that drive efficiency and effectiveness in application development.
                  • Performance Monitoring: As part of ongoing project delivery, the incumbent is accountable for the implementation and/or updating of the tooling used to provide effective monitoring of performance and availability of critical applications.
                  • -
                  -

                  -

                  Delivery

                  -
                  • Project Delivery: The incumbent is accountable for ensuring the delivery of all AML Technology commitments and deliverables (projects, services, systems stability, and reliability) in a cost-effective manner across the supported Canadian Banking, GBM, Global Wealth and International Banking groups. The incumbent is expected to manage multiple concurrent projects of varying complexity and duration simultaneously.
                  • Budget Management: The incumbent is responsible for managing inputs into the budget for application development group, including forecasting expenses, tracking spending & invoicing, and making recommendations for investments in tools, resources, and training.
                  • -
                  +

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics%2C-Retail-Credit-Risk-ON-M5H1B6/585355417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:02.462Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788009-senior-manager-collections-strategies-and-analytics-retail-credit-risk-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics%2C-Retail-Credit-Risk-ON-M5H1B6/585355417/,draft,2024-10-10T16:31:02.453Z,import-xml-feed:Scotiabank,,,,,,, +bbd96368-e354-4047-9e6c-91d3b89ade66,345788018,Scotiabank,Wealth Management - Business & Strategy Analyst Intern,on_site,Canada : Ontario : Toronto,2024-10-10T16:31:04.034Z,"

            -

            Education and Experience

            -
            • 10 years of experience in software development,
            • At least 5 years in a leadership or managerial role.
            • Proven track record of successfully leading application development teams and delivering high-quality, scalable applications.
            • Strong understanding of software development methodologies, frameworks, and best practices, including Agile, DevOps, and CI/CD.
            • Knowledge of multiple programming languages and technologies, such as Java, Python, .NET, JavaScript, and cloud-native development desirable.
            • Experience with modern software development tools and platforms, including version control systems, IDEs, and collaboration tools.
            • Proficiency or experience in data analytics and visualization tools, such as SQL, Python, R, Tableau, or Power BI.
            • Excellent leadership, communication, and interpersonal skills, with the ability to influence and inspire teams to achieve their full potential.
            • Highly analytical with strong problem-solving abilities and attention to detail.
            • +

              Requisition ID: 208733
              Employee Referral Program – Potential Reward: $0.00

              We are committed to investing in our employees and helping you continue your career at Scotiabank.

              +

              +

              Term: January - April 2025

              +

              Application deadline: 10/29/2024

              +

              +

              The successful candidate would support and contribute towards key projects and initiatives within International Wealth Management. The role involves frequent exposure and visibility to the Wealth Management leadership team locally and internationally plus other various business partners within Finance, Risk, Product, Compliance, Legal, etc.

              +

              +

              Is this role right for you? In this role, you will…

              +
              • Support in execution planning, business case development and analyzing the progress of strategic initiatives and presenting updates to the leadership team including recommended actions
              • Collaborate with SMEs and project team to develop research and analysis on the target business model including sizing, competitive and regulatory analysis
              • Develop and support initiatives around IWM strategy adoption including the responsibilities above as well as other change initiatives
              • Provide support to the elaboration of the strategy to build the program and increase cross-business collaboration
              • Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments
              • Participate in the regular Strategy Execution check-in against plan and annual progress against commitments and financial plan
              -
              • Experience with cloud-based application development and deployment (e.g., AWS, Azure, Google Cloud) is a plus.
              • Bachelor's degree in computer science, engineering, or a related field; advanced degree preferred.
              • Certification or experience in software development methodologies (e.g., Agile, Scrum Master) is desirable.
              • Experience in the Financial Services industry an asset.
              • +

                +

                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                +

                The preferred candidate would demonstrate accountability, commitment, and self-initiative. Demonstrate a strong interest in the financial markets, macroeconomics, and Wealth Management business. A “can do” attitude in addition to the ability to work in a cross–functional team with a results and customer focus.

                +

                The position would be a rewarding introduction to a broad banking view from the head office perspective in which project management, execution and delivery would be required, therefore the following knowledge / skills would be needed:

                +
                • Problem framing and analytical problem-solving;
                • Relationship building;
                • Presentation execution;
                • Business acumen with moderate to medium banking industry familiarity;
                • Research and analysis;
                • Analytical skills: Strong MS Word, Excel, PowerPoint;
                • Fluency in Spanish is an asset but is not required
                -

                -

                What's in it for you?

                -
                • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
                • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
                • Remote-friendly work environment will provide you with the flexibility to perform at your best.
                • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
                • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
                • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
                • +

                  +

                  Additional Requirements:

                  +
                  • Post-Secondary Degree (MBA or Master in Finance/Economics)
                  -

                  -

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Director-Application-Development%2C-AML-Technologies-ON-M5H1B6/584095217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-03T16:36:07.613Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344287951-director-application-development-aml-technologies-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director-Application-Development%2C-AML-Technologies-ON-M5H1B6/584095217/,draft,2024-09-30T16:30:02.956Z,import-xml-feed:Scotiabank,,,,,,, -bcd9f971-29b5-4bde-bd63-39c8fa74c8c4,344287953,Scotiabank,"Senior Financial Analyst, Global Finance Reporting",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.209Z,"

            -

            -

            -

            -

            Requisition ID: 205894

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Global Finance creates customer and shareholder value by providing financial leadership to our business partners with insightful financial analysis, and maintaining effective financial controls, through a team of highly motivated finance professionals.

            -

            -

            The Reporting department within Global Finance plays a key role in the reporting and analysis of the Bank's financial results at both the All Bank and Divisional levels.

            -

            -

            The Senior Financial Analyst will be a member of the Global Finance Reporting department reporting to a manager. The incumbent will be primarily responsible for the financial reporting and analysis of periodic and periodic results, with a focus on Global Banking & Markets (GBM). The incumbent will also be involved in the production of various periodic reports for executive management by highlighting significant trends, product and market developments and economic factors that impact performance; and will contribute to the overall success of Global Finance – Reporting department ensuring specific individual goals and initiatives are executed and delivered in support of business strategies and objectives.

            -

            -

            All activities must be conducted in compliance with governing regulations, internal policies, and procedures.

            -

            -

            Is this role right for you? In this role you will

            -

            -
            • Assist with the delivery of periodic and periodic financials (Profit & Loss and Balance Sheet) on a timely basis while ensuring data accuracy and completeness.

            • Assist with the preparation of periodic and periodic reporting on statutory and business line result for Global Banking and Markets:

              • Communicate with individuals in various business units during periodic close and on an ongoing basis to coordinate and collect financial data from business units.

              • Perform the periodic and periodic reasonability of both statutory and business line financial results by ensuring the timely identification and resolution of all material issues. Maintain and implement new controls where needed.

              • Review, analyze and prepare statutory journal entries, ensuring accuracy and completeness. All entries must be processed within strict periodic timetables as published by Global Finance Technology on a periodic basis.

            • Maintain and develop strong controls over operational and analytical processes.

            • Communicate and resolve accounting and reporting issues with business units and management.

            • Liaise closely with business line Finance partners to maintain knowledge of emerging business line issues that impact various business lines and to effectively resolve them.

            • Participate in projects as assigned, such as developing financial metrics and analytical tools, Global Finance initiatives. Identify and act upon efficiency opportunities.

            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.

            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

            • Support manager and senior manager in efforts to enhance reporting processes:

              • Assist with the annual business line rule set up and chart of account (COFA) management processes.

              • Identify issues and make recommendations with a focus on process improvement.

            • Perform other duties as assigned to support the department’s goals.

            • +

              +

              What’s in it for you:

              +
              • Challenging Work and a great learning opportunity for a future career in Wealth Management
              • Opportunity to lead and build your network among business leaders
              • A winning, diverse, and down to earth team
              • Develop your financial and business acumen with a strong brand
              -

              -

              Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

              +

              +

              +

              How do I apply?

              +

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

              +
              1. +Complete your PLUM Profile here and save as a screenshot. +
              2. +Complete short one-way video interview here +
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
              4. +
              +

              +

              **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

              +

              -
              • Accounting designation Canadian CPA (CMA, CGA, CA) or MBA, with at least 2 years related work experience is required.

              • Solid business acumen and strong analytical and problem-solving skills - Ability to relate financial data to business results and identify issues and trends.

              • +

                Location(s): Canada : Ontario : Toronto

                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Business-&-Strategy-Analyst-Intern-ON/585375217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T16:31:04.052Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345788018-wealth-management-business-strategy-analyst-intern-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Business-&-Strategy-Analyst-Intern-ON/585375217/,draft,2024-10-10T16:31:04.034Z,import-xml-feed:Scotiabank,,,,,,, +6cecacae-e6cb-4e83-8d54-3e618ed06abc,345759463,Google,"Program Manager, Digital Support Experience, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.316Z,"
            +
            +

            Program Manager, Digital Support Experience, Google Cloud

            +
            +
            +
            +
            +share +
            +
              +
            • +linkCopy link +
            • +
            • +emailEmail a friend +
            • +
            +
            +
            +
            +
            +corporate_fareGoogleplaceWaterloo, ON, Canada; Toronto, ON, Canada
            +
            +
            +
            +bar_chartMid +
            +
            +

            Mid

            +
            Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
            +
            +
            +
            +
            +
            +Apply
            +
            +
            +
            +
            +
            +share +
            +
              +
            • +linkCopy link +
            • +
            • +emailEmail a friend +
            • +
            +
            +
            +
            +
            +
            +
            +
            info_outline
            +XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada. +
            + +
            +

            Minimum qualifications:

            +
              +
            • Bachelor\'s degree or equivalent practical experience.
              +
            • +
            • 3 years of experience in a program or project management, data analyst, business intelligence, or customer support operations role.
              +
            • +
            • Experience working with SQL, connecting and summarizing and datasets.
              +
            -
            • Strong organizational, interpersonal and communication abilities to execute varied activities within tight deadlines and deliver with a great amount of accuracy and completeness whilst demonstrating excellent time management skills.

            • +

              Preferred qualifications:

              +
                +
              • Experience using GCP products.
                +
              • +
              • Experience with research, experimentation, A/B tests, working with large datasets, statistical analysis methods and tools, or maintaining data pipelines.
                +
              • +
              • Ability to articulate complex findings and recommendations.
                +
              • +
              • Ability to solve complex and ambiguous problems by applying a data driven approach with guidance.
                +
              • +
              • Ability to work with cross-functional teams.
                +
              -
              • The ability to communicate, both orally and in written form, with individuals at different levels and a variety of skill sets and organizational perspectives.

              • Good proficiency with computer applications including Microsoft Excel, e.g., VLOOKUP, SUMMIF, SUMMPRODUCT, PIVOT; Word, PowerPoint

              • +
            +
            +

            About the job

            +

            In this role, you will use your knowledge of data analysis, AI, and project management to lead complex, data driven, multi-disciplinary projects. You will work with a cross-functional team of developer, UX and data scientists to identify opportunities to improve our product and service offerings, manage those projects throughout their entire lifecycle and ultimately drive the strategy of our product.

            +

            You will use data to drive a product roadmap and bring its initiatives all the way to implementation.

            +

            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

            +
            +
            +

            Responsibilities

            +
              +
            • Own our data and insights platform and design, create and maintain datasets with appropriate architecture with data complexity and need for accuracy.
            • +
            • Apply expertise in quantitative analysis and data mining to create insights into problems our customers are trying to solve and how they engage with our products.
            • +
            • See beyond the numbers to weave stories that brings the team around the same understanding of the roadblocks on our mission, and translate opportunities into solutions and drive our product roadmap.
            • +
            • Prioritize the most promising projects and bring together the relevant stakeholders to take them all the way through to A/B testing and final rollout stage.
            -

            -

            This position requires strong customer service attitude and pro-active attitude to resolve complex business issues. The position requires high level of flexibility to adapt quickly to a dynamic business environment.

            -

            -

            #scotiafinancejobs

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Financial-Analyst%2C-Global-Finance-Reporting-ON-M5V2T3/584149817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287953-senior-financial-analyst-global-finance-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Financial-Analyst%2C-Global-Finance-Reporting-ON-M5V2T3/584149817/,draft,2024-09-30T16:30:03.209Z,import-xml-feed:Scotiabank,,,,,,, -35e06e9e-629b-4aa4-88f7-531b9fc2d14f,344243747,Roche,Graphic Designer,on_site,"Ontario, Canada",2024-09-30T08:58:02.563Z,"
            -

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            -

            -

            -

            The Position

            -

            -

            Graphic Designer

            -

            Location: Mississauga Campus - Hybrid

            -

            Duration: 10 months-contract

            -

            -

            A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

            -

            At Roche, creativity meets innovation to deliver exceptional products that improve patient care and scientific advancement. As a part of our Graphic Design team, you will be at the forefront of crafting the visual essence of our product artwork, component designs, marketing materials, and packaging. Your artistic vision will play a pivotal role in elevating Roche\'s brand and products, ensuring that our scientific data is both impactful and visually compelling.

            -

            -

            In this dynamic role, you will collaborate with cross-functional project teams to assess and optimize the efficiency of our product imagery and presentation, being an extraordinary partner with external sources to resolve design challenges. Your expertise in industry-relevant design software will be instrumental in driving our visual communication forward.

            -

            -

            The Opportunity:

            +
            +
            +

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            +

            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

            +

            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            +

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            +

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            +
            +
            ",,https://www.google.com/about/careers/applications/jobs/results/103627516572246726-program-manager-digital-support-experience-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-17T08:39:02.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759463-program-manager-digital-support-experience-google-cloud-at-google,,draft,2024-10-10T08:34:02.316Z,import-xml-feed:Google-Job-Feed,,,,,,, +18f66f63-90c6-4dcc-8a0e-17c180a24923,345759465,Google,"Cloud Consultant, Platforms and Infrastructure, Cloud Professional Services",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.643Z,"
            +
            +

            Cloud Consultant, Platforms and Infrastructure, Cloud Professional Services

            +
            +
            +
            +
            +share +
            +
              +
            • +linkCopy link +
            • +
            • +emailEmail a friend +
            • +
            +
            +
            +
            +
            +corporate_fareGoogleplaceAustin, TX, USA; Atlanta, GA, USA; +4 more; +3 more
            +
            +
            +
            +bar_chartMid +
            +
            +

            Mid

            +
            Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
            +
            +
            +
            +
            +
            +Apply
            +
            +
            +
            +
            +
            +share +
            +
              +
            • +linkCopy link +
            • +
            • +emailEmail a friend +
            • +
            +
            +
            +
            +
            +
            +
            +
            info_outline
            +XInfo The application window will be open until at least October 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Toronto, ON, Canada.The application window will be open until at least October 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Toronto, ON, Canada. +
            + +
            +

            Minimum qualifications:

              -
            • Support the Graphic Design Lead by creating purchase orders and ensuring art files are accurate and conform to standards.

            • -
            • Collaborate with partners to plan, analyze, coordinate, and implement assigned projects.

            • -
            • Meet with employees, consultants, and vendors to improve the effectiveness and quality of product visuals and presentations.

            • -
            • Offer excellent customer service through timely responses and efficient communication.

            • -
            • Maintain a filing system for version control, coordinate project timelines and handle external design-related relationships.

            • -
            • Review Brand Agency Artwork for compliance, working closely with ad agencies to ensure adherence to Roche standards.

            • -
            • Handle requirements related to the Accessibility for Ontarians with Disabilities Act (AODA) and manage the Digital Asset Library for Roche Global.

            • +
            • Bachelor\'s degree in Computer Science or equivalent practical experience.
              +
            • +
            • 4 years of experience in project management and technical solution delivery.
              +
            • +
            • Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.
              +
            • +
            • Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.
            -

            -

            Who are you

            +

            Preferred qualifications:

              -
            • Graphic Design Diploma and 4+ years of production or post-production experience

            • -
            • Mac proficiency

            • -
            • Skills for technology and print, video, media, emerging formats and online media

            • -
            • Knowledge of current audio, video formats, digital pieces formats, resolutions, fonts and graphics

            • -
            • Excellent verbal and written communication skills

            • +
            • MBA or Master\'s degree in Computer Science, Engineering, or a related field.
              +
            • +
            • Cloud certification.
              +
            • +
            • Experience in one or more of the following disciplines: software development, managing large-scale Linux or other operating systems environments, network design and deployment, databases, storage systems.
              +
            • +
            • Experience in customer-facing migration, service discovery, assessment, planning, execution, and operations.
              +
            • +
            • Experience with networking and system design of load balancers, firewalls and VPN in architecting, developing and maintaining production-grade systems, and with Kubernetes, GKE, or EKS.
              +
            • +
            • Communication, writing, presentation, and problem-solving skills.
              +
            -

            -

            Preferred

            +
            +
            +

            About the job

            +

            The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

            +

            As a Platforms and Infrastructure Cloud Consultant, you will work directly with Google’s most strategic customers on infrastructure projects that transform business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.

            +

            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

            +

            The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

            Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

            +
            +
            +

            Responsibilities

              -
            • Advanced knowledge of Adobe Creative Suite (InDesign, Illustrator & Photoshop), Multimedia skills is an asset. Proficient in Google Suites and Microsoft office (knowledge of Excel formulas a big plus), and shown familiarity with all types of file formats, including video formats

            • -
            • Excellent organization and time management; possesses an ability to prioritize a large volume of work creatively & efficiently with tight deadlines

            • -
            • Precise attention to detail, superior organizational skills demonstrating a high degree of accuracy

            • +
            • +Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
              +
            • +
            • Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices.
            • +
            • Work with internal specialists, Product, and Developing teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
              +
            • +
            • Interact with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
              +
            • +
            • +Travel approximately 30% of the time for client engagements.
              +
            -

            -

            Relocation benefits are not available for this posting.

            -

            -

            Who we are

            -

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            -

            -

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            -

            -

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            -
            -

            -

            Roche is an Equal Opportunity Employer.

            -
            -
            ",,https://careers.roche.com/global/en/job/202409-123562/Graphic-Designer,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/344243747-graphic-designer-at-roche,,draft,2024-09-30T08:58:02.563Z,import-xml-feed:Selenium-Scraper,,,,,,, -74f486e2-b8ac-4888-a5b4-9c21defe320d,344240809,BMO Financial Group,"Analyst, Data Analytics, Data Foundations & Infrastructure",on_site,"Ontario, Canada",2024-09-30T08:18:02.010Z,"
            -

            Application Deadline:

            10/03/2024

            -

            -

            Address:

            100 King Street West

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            The Analyst, Data Foundations & Infrastructure is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise. is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise.

            -

            -

            The Analyst, Data Foundations & Infrastructure will develop and maintain standard reports and analyze and identify key trends for the BMO Commercial Bank line of business. The role is responsible for performing data extraction, aggregation, transformation, management, and quality reviews of data from multiple data sources for use in reporting and analytics. Data quality is key and any identified issues should have a well defined remediation plan in place. The role requires strong communication skills to work with business partners to explain trends as well as the source of data utilized in reporting. Strong documentation around processes and reporting is required.

            -

            -

            This role will also collaborate with members of key BMO Commercial groups to ensure that data is provided as required on a timely basis.

            -

            -

            Knowledge

            +
            +
            +

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            +

            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

            +

            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            +

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            +

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            +
            +
            ",,https://www.google.com/about/careers/applications/jobs/results/95626439176397510-cloud-consultant-platforms-and-infrastructure-cloud-professional-services?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-09T08:34:02.663Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345759465-cloud-consultant-platforms-and-infrastructure-cloud-professional-services-at-google,,draft,2024-10-10T08:34:02.643Z,import-xml-feed:Google-Job-Feed,,,,,,, +0a0e672b-0c07-4523-b1d9-80f0f02cc801,345759466,Google,"Senior Account Manager, Large Customer Sales",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.876Z,"
            +
            +

            Senior Account Manager, Large Customer Sales

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            +share +
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            • +linkCopy link +
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            +corporate_fareGoogleplaceToronto, ON, Canada
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            +bar_chartMid +
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            +

            Mid

            +
            Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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            +Apply
            +
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            +share +
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            • +linkCopy link +
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            • +emailEmail a friend +
            • +
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            +
            +
            +

            Minimum qualifications:

              -
            • University degree in math, finance, economics or business-related field
            • -
            • 3-5+ years of direct experience in a related role within the financial services industry with a focus on data management and analytics
            • -
            • Strong knowledge of database programs (SQL)
            • -
            • Knowledge and experience in data preparation, and data analysis
            • -
            • Advanced knowledge and understanding of key financial products and P&L related processes.
            • -
            • Solid knowledge of planning, coordinating, multi-tasking, and analysis
            • +
            • Bachelor\'s degree or equivalent practical experience.
              +
            • +
            • 5 years of experience in digital media sales, digital advertising, or digital marketing, or 3 years of experience with an advanced degree.
              +
            • +
            • Experience working with advertisers, agencies, or clients.
              +
            -

            -

            Skills

            +

            Preferred qualifications:

              -
            • Strong interpersonal and management skills
            • -
            • Proven ability to create, manipulate and extract information from large data sets
            • -
            • Detail oriented with good organizational skills
            • -
            • Strong troubleshooting/problem solving abilities.
            • -
            • Experience designing and developing ETL processes would be beneficial
            • -
            • Experience with SAS development would be beneficial
            • -
            • Ability to work under pressure and tight timeframes
            • -
            • Ability to work well in a team environment
            • +
            • Experience in customer-facing consulting or business.
              +
            • +
            • Experience optimizing and troubleshooting products or services.
              +
            • +
            • Experience managing multiple priorities, projects, and stakeholders.
              +
            • +
            • Experience with Google Ads, Display and Video 360, Search Ads 360, YouTube, or similar digital advertising campaigns and platforms.
              +
            • +
            • Experience with project management, working in a complex, matrixed organization.
              +
            • +
            • Familiarity with digital media buying and promoting processes.
              +
            -

            -

            Responsibilities

            -

            A. Data Management

            +
            +
            +

            About the job

            +

            Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

            +

            Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

            +
            +
            +

            Responsibilities

              -
            • Act as the subject matter expert on the development and management of BMO Commercial Bank data and provide guidance to respond to the evolving needs of the business.
            • -
            • Develop business and system specifications relating to performance monitoring, dashboard feeds and other MIS initiatives
            • -
            • Oversee all major data production problems through to resolution. Identify and recommend appropriate safe guards to prevent reoccurrence of issues.
            • -
            • Building data quality checks into developed applications and process
            • -
            • +
            • Build and manage relationships with clients, and develop an understanding of their business issues, marketing objectives, and success metrics.
              +
            • +
            • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
              +
            • +
            • Plan for, and achieve, business growth goals, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
              +
            • +
            • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present the customers.
              +
            • +
            • Build knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
            +
            +
            +

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            +

            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

            +

            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            +

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            +

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            +
            +
            ",,https://www.google.com/about/careers/applications/jobs/results/118440267144405702-senior-account-manager-large-customer-sales?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-09T08:34:02.902Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759466-senior-account-manager-large-customer-sales-at-google,,draft,2024-10-10T08:34:02.876Z,import-xml-feed:Google-Job-Feed,,,,,,, +12764810-180c-42a8-9acc-912a30529115,345762486,OMERS,"Business Analyst, Trading Platform",on_site,"Ontario, Canada",2024-10-10T08:58:03.613Z,"
            +

            Choose a workplace that empowers your impact.

            +

            Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

            -

            B. Monthly Revenue Processing

            +

            We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

            +

            +

            Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

            +

            +

            Don’t just work anywhere — come build tomorrow together with us.

            +

            +

            Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

            +

            +

            +

            +

            Reporting to the Manager, Trading Platform, Capital Markets Finance, the Business Analyst role responsibilities include defining business specifications for new solutions & integrations, developing test plans, upgrading applications, developing reporting and troubleshooting data issues. The role requires an excellent understanding of investment business processes and experience maintaining & supporting investment applications combined with excellent analytical project work skills, including requirements analysis and documentation, root cause analysis of production issues, testing of application or integration changes, and implementation change management. The position requires strong analytical skills coupled with investment operations knowledge (both Front, Middle & Back Office) and systems implementation and application maintenance experience. It requires strong interpersonal, organizational and project management skills combined with the ability to readily adapt to rapidly changing investment and technology environments.

            +

            +

            We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

            +

            +

            Responsibilities:

              -
            • Maintain effective relationship with internal partners, and reporting & analytics teams
            • -
            • Developing robust processes to produce revenue data set processing
            • -
            • Reviews financial information for reasonableness and highlights/escalates areas of interest or concern
            • -
            • Prepare manual adjustments as needed
            • -
            • Accountable of the revenue data set processing production
            • +
            • Acquires detailed knowledge of the business uses of the applications and services (in both Investment Front Office and Investment Operations context) currently implemented in support of our partners and provides proactive application support to individual users to assist in meeting business program objectives.

            • +
            • Provides business system analysis support in approved projects with respect to the identification of automation opportunities, assistance in workflow design development, and software evaluations.

            • +
            • Assumes responsibilities in project activities including the definition of business requirements, design and implementation of system interfaces, testing, documentation, upgrades of investment applications, data conversions and reconciliations.

            • +
            • Provides support to users in the development of new reports and in the resolution of reporting and other data issues.

            • +
            • Provides problem solving, troubleshooting of issues, and consulting support for newly implemented investment system functions.

            • +
            • Assumes responsibilities in developing test cases, implementation plans, defining workflow solutions, controls, standards, and naming conventions within applications.

            • +
            • Develops user manuals, application documentation and application training programs.

            • +
            • Develops effective working relationships with investment management and operations groups, custodian, auditors, systems vendors, and others in the industry.

            • +
            • Works cross-functionally with other analysts within the group/floor, IT Infrastructure, and Vendors as appropriate to facilitate the roll-out and ongoing support of major application additions, enhancements, workflows, and upgrades for our partners.

            -

            C. Analytics

            +

            Qualifications:

              -
            • Review and resolve data issues, utilizing appropriate analytical approaches
            • -
            • Conduct analytics for new products and processes, understand key implications from the output and develop recommendations to enhance data set processing
            • -
            • Works independently and regularly handles non-routine situations
            • -
            • Broader work or accountabilities may be assigned as needed.
            • +
            • University degree in Computer Science & Mathematics, Commerce & Finance, Engineering, or equivalent industry-related business experience; completion of Canadian Securities Course an asset.

            • +
            • A minimum of 2 - 3 years experience as a Business/Systems Analyst with exposure in relevant investment systems implementation activities. Investment applications including trading, portfolio management & analytics tools on various platforms with emphasis on SQL Server based products.

            • +
            • Demonstrated project skills and experience in all phases of solution development life cycle.

            • +
            • Experience in defining, implementing, and supporting investment business solutions.

            • +
            • Experience in investment business operations with thorough understanding of trading and portfolio accounting.

            • +
            • Experience with developing integration between investment applications and development of data feed interfaces is beneficial.

            • +
            • Experience in Front Office Trading Applications, as well as middle/back office applications (including but not limited to Charles River IMS, Omgeo, Bloomberg, Calypso) is beneficial.

            • +
            • Experience with SSRS and ODBC report writers is beneficial. Experience with SQL queries and Power BI.

            • +
            • Working knowledge of MS Office including Excel spreadsheets, with intermediate skills in Macros, pivots, real time links/queries.

            • +
            • Excellent interpersonal skills to foster effective team dynamics.

            • +
            • Strong analytical and problem-solving skills to facilitate the implementation of application systems to meet business objectives.

            • +
            • Ability to multi-task effectively in fast-paced, multiple project environments.

            • +
            • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments.

            -

            D. Technical Support

            +

            +

            And you demonstrate

              -
            • Problems / errors are thoroughly investigated and resolved in a timely manner by involving the appropriate IT and business specialists.
            • -
            • Preparation or implementation of processes / applications into and automated production environment
            • -
            • Administration of applications / systems to ensure functionality, availability, performance and security are maintained
            • -
            • Identify business and technical stakeholders needed to provide requirements
            • +
            • High standards of business and ethical values including the ability to deal with confidential information

            • +
            • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

            • +
            • A teammate mentality coupled with servant leadership

            • +
            • A sense of urgency, optimism, and a desire to deliver excellence

            • +
            • An uncompromising focus on outcomes

            • +
            • A desire to drive debate, to speak candidly and to listen empathetically; and

            • +
            • Strong orientation towards strategy, change and results

            • +
            • A continuous improvement mindset

            • +
            • A passion for delivering “beautiful work”

            -

            -

            -
            -

            -

            Salary:

            -
            $54,500.00 - $101,500.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            -

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Data-Analytics--Data-Foundations---Infrastructure_R240025187?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T08:23:03.513Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/344240809-analyst-data-analytics-data-foundations-infrastructure-at-bmo-financial-group,,draft,2024-09-30T08:18:02.010Z,import-xml-feed:BMO-Job-Feed,,,,,,, -3a5fcea6-efa8-4bbc-ae7c-78a8735ace6d,344288490,Magna International,Cyber Security Analyst,on_site,"Brampton, ONTARIO, CA, L6R 4C8",2024-09-30T16:41:03.057Z,"
            -
            -

            About the Role

            -

            Providing a secure and trustworthy customer journey is one of our most important objectives. In order to expand our cybersecurity capabilities and compliance adherence, Cosma International is seeking a Security Analyst to assist in its global cybersecurity and compliance responsibilities. The Security Analyst will report directly to the Group Security Manager. The main objective for the Security Analyst is to assist in implementing the global cybersecurity vision and strategy across our global entities. The Security Analyst will assist in coordinating regional security and compliance initiatives working in collaboration with Magna Global CISO, Cosma International group leadership, regional leadership and several core business support functions, including but not limited to Human Resources, Audit, Compliance, Privacy and Data Protection, Procurement, Business Controls, Finance, Legal, Communications and Operations. A primary focus of this position will be helping secure Cosma’s OT and Industry 4.0 initiatives.

            -
            -
            -

            Your Responsibilities

            -
            • As a cybersecurity analyst, this position is responsible for coordinating the day-to-day activities required both internally and externally to ensure compliance and risk mitigation. Duties include:
            • Support implementation, tracking and compliance enforcement of Corporate Security and Information Security policies and programs.
            • Provides guidance and expert advice to different business units in areas of information technology and cyber security as it relates to projects and strategic initiatives.
            • Asset Management, covering identification and documentation of information and supporting assets.
            • Support of Securing and monitoring of information systems for IT and OT.
            • Ensure Human Resource Security related policies are followed.
            • Ensure compliance with all Information Security controls required by local laws, regulations and contracts.
            • Enforcement and monitoring of logical & physical Access Control measures.
            • Actively seeks resolution, mitigation or closure in identified security risks and gaps.
            • Help develop and update disaster recovery plans and business continuity plans, testing and training.
            • Work with the OT and I4.0 teams to identify and address security risks.
            • The above is intended to describe the general content of and the requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
            • -
            -
            -
            -

            Who we are looking for

            -
            • Bachelor of Science degree in Computer Science, Engineering, Computer Security, Information Systems, or equivalent proof of baseline knowledge.
            • Strong knowledge of various frameworks/regulations such as ISO 27001/2, NIST 800-53, NIST Cybersecurity Framework, GDPR, TISAX, SOX, ITIL, COBIT, COSO or similar.
            • 5+ years of multi-domain security experience.
            • 5+ years of Security, or IT experience.
            • Accredited certifications a plus, such as: CISSP, OSCP, GCIH (Certified Incident Handler) GCIA (Certified Intrusion Analyst) CEH (Certified Ethical Hacker) CCNA (Cisco Certified Network Associate)
            • Automotive or Manufacturing experience preferred.
            • Industrial Controls knowledge preferred.
            • Industry 4.0 knowledge preferred.
            • Previous SOC / NOC experience a plus
            • Data analytics and PowerBI experience ideal.
            • -
            -
            -
            -

            Your preferred qualifications

            -
            -

            Accommodations for disabilities in relation to the job selection process are available upon request.

            -

            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

            -
            -
            -
            -

            What we offer

            -

            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

            -
            -
            -

            Site Benefits

            -

            Highly competitive health, dental, and retirement benefits
            Annual performance bonus
            Onsite cafeteria
            Hybrid work environment

            -
            -
            -

            Awareness. Unity. Empowerment.

            -

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            -
            -
            ",,https://jobs.magna.com/job/Brampton-Cyber-Security-Analyst-ONTA-L6R-4C8/585043017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-17T16:46:03.017Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344288490-cyber-security-analyst-at-magna-international,https://jobs.magna.com/job/Brampton-Cyber-Security-Analyst-ONTA-L6R-4C8/585043017/,draft,2024-09-30T16:41:03.057Z,import-xml-feed:Scrapy-Scraper,,,,,,, -de284e1b-f68b-4059-a376-19d0f1a665c0,344287963,Scotiabank,Catalyst: Global Wealth Management Operations Rotational New Grad Program (Toronto) - Spring 2025,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:05.098Z,"

            -

            -

            -

            -

            Requisition ID: 204297

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Start Date: June 2025

            -

            Location: Toronto, Ontario

            -

            Application Deadline: 10/14/2024

            -

            -

            The Catalyst Operations Development Program is your one-stop shop for launching a supercharged and dynamic career in Operations! The world of Operations is fast-paced and ever-changing.

            -

            -

            As a Catalyst Associate, you will join as a full-time employee and will complete three rotations within different areas of Global Wealth Management Operations over the 24-month program. Upon successful completion of the program, you will transition into a permanent role where you will leverage your experience and continue to support critical bank operations.

            -

            -

            Global Wealth Management Operations (GWMO) provides support on day-to-day operational activities and strategic initiatives for Scotiabank’s Canadian wealth management businesses and Canadian and international asset management entities. As a GWMO Catalyst, you will develop your skills in data analytics, project management, and strategy work.

            -

            -

            Is this program right for you? In this program you will:

            -
            • Project management and project tracking.
            • Perform data entry, data analysis, and data reconciliation.
            • Build dashboards and presentations for management.
            • Review client opening documentation and code accounts.
            • Review and process transactions related to mutual fund trades, dividends, interest, and corporate actions.
            • Collaborate with various stakeholders across the Bank including advisor teams, trading desks, other broker/dealers, various operations departments, and management.
            • Support calculation of Net Asset Value per share daily of assigned funds.
            • Apply strategic thinking aimed at continuously improving processes.
            • Serve as a team player and support ad-hoc requests wherever needed.
            • -
            -

            -

            Do you have the skills and requirements that will enable you to succeed in this program?

            -
            • A College diploma or Undergraduate degree completed between April 2024 and May 2025.
            • You have experience working with Microsoft Office Suite
            • It is an asset if you have experience with data visualization tools such as Power BI and Tableau
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
            • You are available to work in a hybrid work arrangement with in-office days in Toronto for the duration of the program.
            • -
            -

            -

            What’s in it for you?

            -
            • You’ll be part of a diverse, collaborative, innovative, and inclusive team.
            • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.
            • A dedicated Program Manager to support with your learning, goals, and development.
            • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.
            • Individualized development plans, mentorship, and exclusive access to leaders.
            • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.
            • As a member of an international cohort, you will be based in Ontario, Canada but directly connected to your Catalyst peers in Bogota, Colombia.
            • You will have exclusive access to our Catalyst Clubhouse network and alumni, potential Spanish HOLA classes for your development and so much more!
            • -
            -

            -

            How do I apply?

            -

            For students applying to one of our TILT New Graduate programs we do not require resumes! Instead, we ask that as part of your application, you complete the below:

            -

            -
            1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your Plum Profile results.
            2. Complete a short one-way video interview here.
            3. -
            -

            -

            *To be considered, you must complete all steps above.

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Catalyst-Global-Wealth-Management-Operations-Rotational-New-Grad-Program-%28Toronto%29-Spring-2025-ON/583291817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287963-catalyst-global-wealth-management-operations-rotational-new-grad-program-toronto-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Catalyst-Global-Wealth-Management-Operations-Rotational-New-Grad-Program-%28Toronto%29-Spring-2025-ON/583291817/,draft,2024-09-30T16:30:05.098Z,import-xml-feed:Scotiabank,,,,,,, +

            From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

            +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Business-Analyst--Trading-Platform_JR-6611?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-09T08:58:03.613Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345762486-business-analyst-trading-platform-at-omers,,draft,2024-10-10T08:58:03.613Z,import-xml-feed:Selenium-Scraper,,,,,,, 60e851c7-6d16-4255-8c52-176141b88598,343707965,Deloitte,AEP Developer,on_site,"Ontario, Canada",2024-09-26T16:35:03.466Z,"

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126209
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            @@ -21610,1250 +23787,255 @@ e9c671dc-078c-4aa2-8b2e-2bab30a79d71,343662410,Ada,Customer Success Manager,on_s

            #LI-NS1

            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4474237007,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662411-professional-services-consultant-at-ada,,draft,2024-09-26T08:58:03.474Z,import-xml-feed:Selenium-Scraper,,,,,,, -54d50ffa-9faa-4e56-88cf-c6cc7eec8355,343662417,Ada,HR Generalist,on_site,"Ontario, Canada",2024-09-26T08:58:03.986Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            We are searching for an HR Generalist to join our People Operations team and continue to elevate the Ada Owner experience. As an HR Generalist, you will own the full employee journey including orientation, programs, systems and offboarding. As an integral member of the team, you will use your strong communication and relationship-building expertise to ensure every Ada Owner feels supported & has an extraordinary experience at the company.

            -

            This is a Toronto, Ontario based position. While the position is fully remote there will be occasions where you\'ll need to visit our Toronto Collaboration Hub.

            -

            About You

            -
              -
            • Bachelor’s degree in Human Resources, Business Administration, or related field.
            • -
            • 3+ years of experience in HR, with a strong understanding of HR principles and best practices. Experience working within employment regulations in Canada and the US. Previous experience managing HR programs & systems is an asset.
            • -
            • Exceptional interpersonal and communication skills.
            • -
            • Strong attention to detail – you strive to get it right and deliver the best outcome for stakeholders.
            • -
            • Ability to handle sensitive situations with professionalism and confidentiality.
            • -
            • Proven experience managing multiple tasks and priorities.
            • -
            • Familiarity with HR software such as BambooHR and Greenhouse.
            • -
            • High proficiency with MS Office and Google Suite, specifically with Excel and Google Sheets.
            • -
            • A relentless drive to get things done, and get it done well.
            • -
            -

            Outcomes

            -
              -
            • -Onboarding & Offboarding: Leads orientation for all new Ada Owners and continues to improve the program to support our global workforce. Conducts exit interviews for departing Ada Owners and analyzes data for key trends.
            • -
            • -HR Administration: Creates contracts and letters for all employee changes, ensuring high accuracy and compliance with local employment laws and company policies.
            • -
            • -HR Systems: Manages the HRIS with complete & accurate information and supports with managing the ATS where needed.
            • -
            • -Total Rewards: Owns administration of benefits and supports the performance and compensation review cycles.
            • -
            • -HR Programs: Maintains and leads the development of new programs that promote engagement and support career development. Works closely with the Office Manager on community events where needed.
            • -
            • -Employee Relations: Acts as a primary point of contact for Ada Owner inquiries and provides timely & accurate information.
            • -
            • -Other: Proactively introduces process improvements, generates reporting for stakeholders, and supports new projects as needed.
            • -
            -

            Benefits

            -
              -
            • Competitive salary and generous stock option plan
            • -
            • Unlimited vacation
            • -
            • Wellness account
            • -
            • Extended health coverage
            • -
            • Dental/optical/travel insurance
            • -
            • Life insurance
            • -
            • Employee and family assistance plan
            • -
            -

            Perks

            -
              -
            • Flexible work schedule
            • -
            • Remote-first, In-person friendly work environment with WFH budget
            • -
            • Paid parental leave for Canadian and U.S. residents
            • -
            • Development opportunities
            • -
            -

            The expected salary range for this position is $70,000 to $90,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            -

            -

            #LI-NS1

            -
            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4524207007,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662417-hr-generalist-at-ada,,draft,2024-09-26T08:58:03.986Z,import-xml-feed:Selenium-Scraper,,,,,,, -cc34aca8-6115-4b9f-a94d-d3e32541e32b,343662419,Ada,DevOps Engineer,on_site,"Ontario, Canada",2024-09-26T08:58:04.136Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            We\'re looking for an experienced cloud engineer to join our development operations (DevOps) team. The DevOps team is responsible for building and maintaining the foundational infrastructure and tools that power Ada. They also focus on improving developer velocity, ensuring operational excellence, and fostering a scalable & healthy engineering organization.

            -

            About You

            -
              -
            • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform teams.
            • -
            • Strong motivation and experience in using automation to reduce operational toil for both the DevOps and product engineering teams.
            • -
            • Hands-on experience managing and scaling data infrastructure.
            • -
            • Hands-on experience with containers and distributed computing platforms like Kubernetes.
            • -
            • Experience creating and supporting cloud-based systems at scale, with a strong emphasis on Infrastructure as Code (IaC).
            • -
            • Strong understanding of a server-side programming language (proficient in one or more of the following languages/tools: Python, and/or bash scripting).
            • -
            • Experience handling on-call responsibilities for production services.
            • -
            • Experience managing critical production infrastructure, ensuring reliability and uptime, with a customer-first approach to operational safety.
            • -
            • Good understanding of DevOps concepts and best practices.
            • -
            -

            Nice to Have

            -
              -
            • Experience with MongoDB and horizontally scaling data stores (i.e. sharding).
            • -
            • Familiarity with managing and scaling environments with 100s/1000s of nodes.
            • -
            • Familiarity with ArgoCD and GitOps principles.
            • -
            • Familiarity with support tooling (PagerDuty, Datadog, Loft, Doppler).
            • -
            -

            Responsibilities

            -
              -
            • Create and support scalable and highly reliable software systems to support our growth.
            • -
            • Collaborate with product and engineering teams to incorporate reliability into product and feature requirements.
            • -
            • Continuous analysis of the existing infrastructure from the reliability perspective, centered around removing performance bottlenecks, optimizing the infrastructure, the toolkit, and the workflows involved in running it.
            • -
            • Support various developer tools and processes (deployments, infrastructure management, among others).
            • -
            • Work with engineering teams to troubleshoot core infrastructure issues and support teams as a consulted entity for service specific infrastructure needs.
            • -
            • Implement DevOps solutions across cloud infrastructure, infrastructure as code, deployments, and platform abstractions.
            • -
            • Participate in an on-call rotation for the services the team owns, triaging and addressing production issues.
            • -
            -

            Outcomes

            -
              -
            • Contribute to delivering cross-cutting technical solutions that increase efficiency and reduce operational toil within the company.
            • -
            • Participate in our sprint activities including: planning, demos, and retrospectives.
            • -
            • Help the DevOps team deliver on our roadmap by owning and executing projects and tasks.
            • -
            • Enhance the internal developer experience by abstracting non-essential activities from the software development lifecycle.
            • -
            -

            Benefits

            -
              -
            • Competitive salary and generous stock option plan
            • -
            • Unlimited vacation
            • -
            • Wellness account
            • -
            • Extended health coverage
            • -
            • Dental/optical/travel insurance
            • -
            • Life insurance
            • -
            • Employee and family assistance plan
            • -
            -

            Perks

            -
              -
            • Flexible work schedule
            • -
            • Remote-first, In-person friendly work environment with WFH budget
            • -
            • Paid parental leave for Canadian and U.S. residents
            • -
            • Development opportunities
            • -
            -

            The expected salary range for this position is $109,054 - $136,641. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            #LI-NS1

            -
            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4499357007,feed-importer@jobboard.io,,,,2024-10-26T08:58:04.136Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/343662419-devops-engineer-at-ada,,draft,2024-09-26T08:58:04.136Z,import-xml-feed:Selenium-Scraper,,,,,,, -00100893-5be7-42f4-9a2a-6f4586654f6f,343662427,Ada,"Manager, Sales Development",on_site,"Ontario, Canada",2024-09-26T08:58:04.626Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            As an Manager, Sales Development, you\'ll play a crucial role in both driving our sales pipeline and leading a team of 4 SDR’s. You\'ll be responsible for managing outcomes, coaching your team, and adapting to a dynamic environment. Your role involves motivating your team to achieve clear, ambitious targets and performance metrics, while also providing guidance and developing sales strategies. For the first year, you will be both a hands-on team player and a coach, leading by example.

            -

            Team Leadership and Management:

            -
              -
            • Hire, train, and develop SDRs & BDRs to ensure they are skilled and knowledgeable, and consistently motivated
            • -
            • Set clear goals, KPIs, and performance metrics for the team, focusing on both inbound leads and future outbound strategies
            • -
            • Monitor and analyze team performance, providing regular feedback and coaching.
            • -
            • Foster a positive and motivating work environment to maintain high morale and productivity.
            • -
            • Set career development/arc of team members for future growth.
            • -
            • Enhance team skills and strengthen cross-collaboration
            • -
            -

            Sales Strategy and Execution:

            -
              -
            • Develop and implement effective outreach strategies and sales scripts and demos.
            • -
            • Collaborate closely with the marketing and sales teams to ensure cohesive messaging and target alignment.
            • -
            • Oversee the use of sales tools and technologies, ensuring efficient workflows and processes.
            • -
            • Technical - teach and deliver ‘Gold Demo’ to customers while also gathering business requirements on initial customer conversations
            • -
            • Own AI Agent experience on Ada Website and f/u with leads
            • -
            -

            Lead Generation and Qualification:

            -
              -
            • Ensure SDRs are effectively prospecting and qualifying leads according to company criteria.
            • -
            • Monitor lead generation activities, adjusting strategies based on market feedback and performance data
            • -
            -

            Reporting and Analysis:

            -
              -
            • Track and report on key metrics, such as lead conversion rates, appointment setting, and pipeline growth.
            • -
            • Analyze data to identify trends, challenges, and opportunities for improvement.
            • -
            • Provide regular reports and insights to senior management.
            • -
            -

            Accountabilities/Measurements:

            -
              -
            • Improved average speed to respond to customer requests for demos (responses within 1 hour)
            • -
            • Improved conversion rates of MQL to S1 Q0Q
            • -
            • Improving overall customer experience rating
            • -
            • Meet or exceed Outbound/Inbound S1 targets (individual/team) - Align team as needed.
            • -
            -

            About You

            -
              -
            • -Leadership and Motivation: Strong ability to lead, inspire, and motivate a team to achieve and exceed targets.
            • -
            • -Analytical Skills: Proficiency in analyzing data and metrics to make informed decisions and improve processes.
            • -
            • -Communication: Excellent verbal and written communication skills for clear and persuasive messaging.
            • -
            • -Sales Acumen: Deep understanding of sales processes, techniques, and tools.
            • -
            • -Adaptability: Ability to adapt to changing market conditions and company goals.
            • -
            • -Problem-Solving: Strong problem-solving skills to address challenges and implement effective solutions.
            • -
            • -Time Management: Efficiently manage time and prioritize tasks for themselves and their team.
            • -
            -

            Benefits

            -
              -
            • Competitive salary and generous stock option plan
            • -
            • Unlimited vacation
            • -
            • Wellness account
            • -
            • Extended health coverage
            • -
            • Dental/optical/travel insurance
            • -
            • Life insurance
            • -
            • Employee and family assistance plan
            • -
            -

            Perks

            -
              -
            • Flexible work schedule
            • -
            • Remote-first, In-person friendly work environment with WFH budget
            • -
            • Paid parental leave for Canadian and U.S. residents
            • -
            • Development opportunities
            • -
            -

            The expected salary range for this position is $128,000 to $185,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            #LI-NS1

            -
            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4489485007,feed-importer@jobboard.io,,,,2024-10-26T08:58:04.626Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662427-manager-sales-development-at-ada,,draft,2024-09-26T08:58:04.626Z,import-xml-feed:Selenium-Scraper,,,,,,, -dc91943b-9d77-4b52-8466-a7b3b57f8390,343662386,NVIDIA,Senior Compiler Engineer,on_site,"Ontario, Canada",2024-09-26T08:58:01.503Z,"
            -Senior Compiler Engineer page is loaded
            -
            -

            Senior Compiler Engineer

            - -
            -
            -
            -
            -
            locationsCanada, RemoteCanada, Toronto
            -
            -
            -
            time typeFull time
            -
            -
            posted onPosted 8 Days Ago
            -
            -
            job requisition idJR1987975
            -
            -
            -
            -

            We are looking for an enthusiastic and competent Senior Compiler Engineer for an exciting and fun role in our GPU Software organization. We deliver features and improvements to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces. Would you like to add this to your accomplishments?

            -

            -

            We need you as a key member of a talented team of compiler engineers that is working on a core compiler component for our graphics drivers as well as for accelerating general purpose computation on the GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

            -

            -

            What you\'ll be doing:

            -
              -
            • Work on design and implementation of significant parts of the compiler.

            • -
            • Work on performance analysis and design/implementation of new optimizations.

            • -
            • Partner with global compiler, GPU driver, architecture, and application teams to coordinate improvements and problem resolutions.

            • -
            • Seek interesting and meaningful compilation problems for state-of-the-art GPU technologies.

            • -
            • Contribute to open-source projects (LLVM, DXC - HLSL compiler).

            • -
            • Propose, design, and implement SPIR-V extensions, represent NVIDIA in Khronos.

            • -
            • Participate and contribute to the future of SPIR-V as a standard graphics interchange format.

            • -
            -

            -

            What we need to see:

            -
              -
            • BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience.

            • -
            • 10+ years of experience and strong background in compilers.

            • -
            • You would need strong C/C++ programming skills, as well as a deep understanding of parallel programming models.

            • -
            • Experience with compiler optimizations, especially working with LLVM infrastructure.

            • -
            -

            -

            Ways to stand out from the crowd:

            -
              -
            • Experience developing CUDA, DirectX, OpenGL/Vulkan applications

            • -
            • Background with developing compiler optimizations and code generation for GPUs.

            • -
            • Ability to do code generation and building a good compiler framework.

            • -
            -

            -

            With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you\'re a creative and autonomous engineer with a real passion for technology, we want to hear from you.

            -

            -

            The base salary range is 176,250 CAD - 409,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
            -

            You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

            -

            -
            -

            -

            -
            -
            -
            -
            -
            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Compiler-Engineer_JR1987975?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-10-07T09:03:03.201Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343662386-senior-compiler-engineer-at-nvidia,,draft,2024-09-26T08:58:01.503Z,import-xml-feed:Selenium-Scraper,,,,,,, -8753fb7a-61f0-4a6b-9ab9-fa0188daa1f1,344117502,Ada,"Senior Software Engineer, Voice",on_site,"Ontario, Canada",2024-09-29T08:58:02.559Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            As an Senior Software Engineer on our team, you will work with internal and external stakeholders, product managers, and designers to execute Ada’s roadmap and iteratively deliver the messaging platform that will drive more volume to our AI-driven CX platform.

            -

            About You

            -
              -
            • 5+ years of experience as a Backend/Full Stack Developer
            • -
            • Proficient with backend technologies (Python and Node.js, Javascript is an asset)
            • -
            • Understanding of databases such as MongoDB, PostgreSQL, ElasticSearch and in-memory stores such as Redis
            • -
            • Experience with 3rd party LLMs, such as GPT, Azure, Anthropic ect. Experience
            • -
            • A good understanding and direct experience with CCaaS, SIP, WebRTC, IVR, and Telephony ecosystems, including knowledge of VoIP protocols and contact center technologies.
            • -
            • deploying code and strong developer operations
            • -
            • Commitment to personal growth and continued learning
            • -
            • Drive and willingness to make the people around you better
            • -
            • Self-starter, problem solver and strong communicator
            • -
            • Experience working with public APIs to build reliable third-party integrations
            • -
            -

            Outcomes

            -
              -
            • Execute on our ambitious product roadmap
            • -
            • Provide your perspective and ideas to help level up our current development practices
            • -
            • Review the team’s code, provide insightful feedback, foster collaborative community and teach everyone something new
            • -
            • Ensure that the team is providing the best AI Agent platform experience to our internal developers and external partners
            • -
            • Participate in an on-call rotation for the services the team owns, triaging and addressing production issues
            • -
            -

            The expected salary range for this position is $129,264 - $171,478. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            LI-NS1

            -
            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4499675007,feed-importer@jobboard.io,,,,2024-10-29T08:58:02.559Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344117502-senior-software-engineer-voice-at-ada,,draft,2024-09-29T08:58:02.559Z,import-xml-feed:Selenium-Scraper,,,,,,, -3ef9a570-0026-4b4f-89a8-afee3e5df2d3,344787659,Ada,Senior Product Manager,on_site,"Ontario, Canada",2024-10-03T08:58:04.070Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            As we continue to enhance the capabilities of Ada’s AI Agent to drive Automated Resolutions (AR), it\'s time to prioritize the efficient scaling of AR. Our generative technology streamlines the user experience, making it simpler than ever to showcase Ada\'s value to potential customers.

            -

            We are hiring for a Senior Product Manager to join our highly collaborative, dynamic, and driven product team. This person will have the opportunity to bring their unique perspective and background in leveraging data to build products that drive the highest customer impact.

            -

            About You

            -
              -
            • 5 + years of relevant B2B SaaS Product Management experience in an agile and highly dynamic environment
            • -
            • Experience building and leveraging data/analytics products, with a focus on measuring success metrics for AI-driven initiatives
            • -
            • Experience using and building with Large Language Models (LLMs)
            • -
            • Strong communication and presentation skills with the ability to craft business cases that inspire and influence change
            • -
            • Experience driving product launches from 0 to 1
            • -
            • Proven ability to work in ambiguity and deliver high-quality products that align with strategic goals
            • -
            -

            Outcomes

            -
              -
            • -Outcome Driven: Consistently uses a results-oriented approach when working on complex projects, and aligning product decisions with the company’s north star metric. Effectively communicates the expected outcome by providing specific details and clear reasoning for their predictions.
            • -
            • -Developing a vision, strategy and roadmap: Ensure all teams are working towards the same goal by developing and communicating a clear vision, strategy and roadmap. Proactively adapts the roadmap by evaluating market changes and customer feedback.
            • -
            • -Leadership: Exhibits strong leadership within their area of expertise by acting decisively and assertively to drive team progress and unblock challenges. Proactively identifies opportunities for improvement and innovation within the team and the organization.
            • -
            • -Communication & Collaboration: Ensure alignment between teams and stakeholders through active listening, and empathetic responses. Leads cross-functional meetings with engineering, design, customer experience, and product marketing to drive alignment on goals and decisions
            • -
            • -Customer focused and problem solving: Demonstrates a strong focus on customers, deeply understanding their needs and incorporating those understandings into product designs. Actively seek feedback from customers and other sources such as customer satisfaction metrics to address areas of concerns, and focus on continuous improvement on product offerings to better meet customer needs.
            • -
            -

            Benefits

            -
              -
            • Competitive salary and generous stock option plan
            • -
            • Unlimited vacation
            • -
            • Wellness account
            • -
            • Extended health coverage
            • -
            • Dental/optical/travel insurance
            • -
            • Life insurance
            • -
            • Employee and family assistance plan
            • -
            -

            Perks

            -
              -
            • Flexible work schedule
            • -
            • Remote-first, In-person friendly work environment with WFH budget
            • -
            • Paid parental leave for Canadian and U.S. residents
            • -
            • Development opportunities
            • -
            -

            The expected salary range for this position is $121,000 to $160,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            -

            #LI-NS1

            -
            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4530825007,feed-importer@jobboard.io,,,,2024-11-02T08:58:04.070Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344787659-senior-product-manager-at-ada,,draft,2024-10-03T08:58:04.070Z,import-xml-feed:Selenium-Scraper,,,,,,, -08a984fe-1ee5-4826-a616-9561e3ab2164,344945666,BMO Financial Group,"Senior Analyst, Counterparty Credit Risk - (Trading Systems / Python programming / Financial Products)",on_site,"Ontario, Canada",2024-10-04T08:18:01.849Z,"
            -

            Application Deadline:

            10/27/2024

            -

            -

            Address:

            250 Yonge Street

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

            -
              -
            • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.

            • -
            • Monitors risk in strategies and portfolios alongside project managers or functional leads.

            • -
            • Participate in the different testing cycles of the Counterparty Credit Risk systems releases with high level guidance and instructions.

            • -
            • Investigate into system issues identified by either LoB or other members of the team, provide the root cause analysis and provide potential solutions with assistance and guidance.

            • -
            • Participate in the new business activities including drafting the requirements and conduct SIT/UAT with guidance.

            • -
            • Maintaining and improving the business specification based on changes required.

            • -
            • Provide assistance in ad-hoc projects/requests within the group.

            • -
            • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.

            • -
            • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.

            • -
            • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.

            • -
            • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

            • -
            • Conducts quantitative research in risks across strategies and portfolios.

            • -
            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

            • -
            • Exercises judgment to identify, diagnose, and solve problems within given rules.

            • -
            • Works independently on a range of complex tasks, which may include unique situations.

            • -
            • Broader work or accountabilities may be assigned as needed.

            • -
            -

            -

            Qualifications:

            -

            Foundational level of proficiency:

            -
              -
            • Regulatory capital and stress testing.

            • -
            • Requires Fundamental knowledge of financial product including OTC Derivatives and Security Financial Transactions.

            • -
            • Requires excellent programming skills including Python platform.

            • -
            • Compliance and regulation.

            • -
            • Machine learning.

            • -
            • Learning Agility.

            • -
            • Systems Thinking.

            • -
            • Model risk management.

            • -
            • Data visualization.

            • -
            • Data wrangling.

            • -
            • Data preprocessing.

            • -
            • Critical thinking.

            • -
            • Driving Results.

            • -
            -

            Intermediate level of proficiency:

            -
              -
            • Quantitative financial modeling.

            • -
            • Computational thinking and programming.

            • -
            • Verbal & written communication skills.

            • -
            • Collaboration & team skills.

            • -
            • Analytical and problem solving skills.

            • -
            • Data driven decision making.

            • -
            • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

            • -
            • Technical proficiency gained through education and/or business experience.

            • -
            -
            -

            -

            Salary:

            -
            $65,400.00 - $121,800.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            -

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            -

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Counterparty-Credit-Risk----Trading-Systems---Python-programming---Financial-Products-_R240021575?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-07T08:23:01.744Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/344945666-senior-analyst-counterparty-credit-risk-trading-systems-python-programming-financial-products-at-bmo-financial-group,,draft,2024-10-04T08:18:01.849Z,import-xml-feed:BMO-Job-Feed,,,,,,, -21900429-6168-49c1-a231-d0626b0e67af,345360278,Loblaw Companies Ltd,"Manager, In-store Acqusition",on_site,"Ontario, Canada",2024-10-07T08:19:03.649Z,"
            -

            Referred applicants should not apply directly to this role.

            -

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            -

            -

            -

            Location:

            500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

            -

            When you hire great people, great things can happen.

            -

            PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

            -

            -

            Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

            -

            -

            Reporting to the Sr Manager, Strategic Partnerships & Sales Enablement, the Manager, In-store Acquisition this role will be instrumental in developing channel based, acquisition strategies to support the growth of the President’s Choice Financial credit card and deposit products. The successful candidate will build and maintain strong relationships with product, risk, and enterprise partners to unlock new opportunities for growth. The successful candidate will possess strategic and analytical acumen as well as strong communication skills to be able to work with internal and external stakeholders to design and build strategies

            -

            -

            What you\'ll do

            -
              -
            • Develop a comprehensive in-store sales network strategy for all products, focusing on driving growth and operational efficiency.
            • -
            • Regularly monitor performance against service levels, utilizing analytics to identify areas for improvement. Collaborate with key stakeholders to implement proactive tactics.
            • -
            • Gain a deep understanding of sales channel nuances, performance metrics, and potential opportunities. Develop customer targeting strategies that incorporate relevant offer elements.
            • -
            • Collaborate closely with the early month on-boarding team to ensure appropriate activities are in place for face-to-face acquired customers.
            • -
            • Partner with relevant teams to create effective forecasting and reporting tools across sales channels and programs.
            • -
            • Gain a thorough understanding of the business strategy and objectives of the credit card and deposit portfolios, along with key profit & loss drivers.
            • -
            • Cultivate cross-enter partnerships to increase in-store acquisition opportunities. Identify innovative ways to integrate PCF into store planning processes.
            • -
            • Drive efficiency in customer acquisition by lowering acquisition costs through strategic initiatives and optimizations.
            • -
            -
              -
            • Enhance the acquisition experience for customers by continuously recommending improvement
            • -
            • Work closely with the Sales Operations team to ensure that operational risk and compliance metrics are incorporated into strategies aimed at driving quality acquisition
            • -
            -

            -

            What you bring

            -
              -
            • Bachelor’s Degree in Business or Finance or equivalent work experience;
            • -
            • 3-5+ years of professional experience, strong preference to candidates within the banking, payments, credit cards, or financial services business.
            • -
            • Strong quantitative, analytical and conceptual problem-solving skills combined with outstanding business acumen.
            • -
            • Results oriented. Demonstrated ability to be part of multiple projects/initiatives of varying size and complexity, while prioritizing and balancing multiple tasks within a fast-paced work environment.
            • -
            • Exceptional verbal and written communication skills with creative ability to conceptualize and articulate new approaches and solutions.
            • -
            • Strong interpersonal skills, ability work cross functionally within the organization and to build relationships internally and externally.
            • -
            • Experience in development, implementation, and performance attribution of customer centric strategy & tactics.
            • -
            -

            -

            -

            Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

            -

            -

            -

            Number of Openings:

            1

            -

            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

            -

            -

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            -

            -

            -

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            -

            -

            -

            -

            -

            -

            -
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Manager--Sales-Insights_R2000479547?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-10-17T08:24:01.512Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345360278-manager-in-store-acqusition-at-loblaw-companies-ltd,,draft,2024-10-07T08:19:03.649Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, -15c59c00-cb48-4a22-90f5-8615585ef9a5,345423552,Magna International,Traffic & Customs Analyst,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-07T16:41:01.825Z,"
            -
            -

            About the Role

            -

            As a member of the Materials team, your responsibilities encompass overseeing traffic and customs requirements, coordinating inbound shipments, preparing USMCA Certificates of Origin, AALA certificates, Cafe Content Breakdown reports, and Manufacturer's Affidavits for Co-Ex-Tec customers. Additionally, you hold the authority to approve all freight invoices and engage in negotiations concerning transportation fees and contracts.

            -
            -
            -

            Your Responsibilities

            -
            1. Responsible for overall traffic and customs requirements. Check and approve freight invoices; check and verify Canadian Customs Broker entries

            2. Complete USMCA Certificates of Origin, AALA (American Automobile Labelling Act) certificates, Cafe Content Breakdown and Manufacturer’s Affidavit for Co-Ex-Tec customers

            3. Arrange expedite shipments upon request from various departments. Dispatch local driver and/or arrange pick ups of various types, couriers, LTL, TL, local cartage etc. Obtain expedite alert forms from various departments and chart inbound premium freight. Negotiate discounts and special rates with carriers and customs brokers

            4. Prepare export documentation for returns, machinery, etc. Request USMCA Certificates of Origin from suppliers. Negotiate transportation rates with vendors/freight carriers. Co-ordinate audits performed by Canada Customs drawback investigator

            5. Process refunds, amends, duty drawbacks, file rulings and remission applications

            6. Any other reasonable duty required by Management.

            7. -
            -
            -
            -

            Who we are looking for

            -
            • Secondary School Diploma, or equivalent; Post-Secondary Degree/Diploma, preferred

            • Knowledge of freight/transportation, customs rules/classifications; Customs Brokers Certificate, preferable

            • Familiar with freight/transportation business; USMCA agreement and impact on automotive industry

            • -
            -
            -
            -

            Your preferred qualifications

            -
            -
            • Well-developed communication, organizational, interpersonal and analytical abilities

            • Sound computer skills, including knowledge of software in current use

            • Professional in dealing with internal/external customers

            • -
            -
            • Understanding of lean manufacturing, an asset

            • -
            -

            Accommodations for disabilities in relation to the job selection process are available upon request.

            -

            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

            -
            -
            -
            -

            What we offer

            -

            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

            -
            -
            -

            Site Benefits

            -
            • Medical and Dental Benefits after probationary period

            • Profit Sharing (EEPPP) and Company Match Group RRSP Program

            • Company Paid Basic Life Insurance and Accidental Death and Dismemberment (AD&D)

            • Corporate Plans for Roger's Cellphone Data Plans

            • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc...

            • Educational Assistance Program

            • -
            -
            -
            -

            Awareness. Unity. Empowerment.

            -

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            -
            -
            ",,https://jobs.magna.com/job/Concord-Traffic-&-Customs-Analyst-ONTA-L4K-2R2/584591517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-10T16:46:15.201Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423552-traffic-customs-analyst-at-magna-international,https://jobs.magna.com/job/Concord-Traffic-&-Customs-Analyst-ONTA-L4K-2R2/584591517/,draft,2024-10-07T16:41:01.825Z,import-xml-feed:Scrapy-Scraper,,,,,,, -4ee7713b-5c6b-4348-a7c4-f3704e875223,345423459,Scotiabank,"Director, Source to Settle Global Integration Lead",on_site,Canada : Ontario : Toronto,2024-10-07T16:31:06.462Z,"

            -

            -

            -

            -

            Requisition ID: 208339

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            The Source-to-Settle (S2S) Program brings together upstream purchasing needs all the way through settlement (including Intake, Sourcing, Contracting, Third Party Risk Management, Purchasing, Payment and linking to Financial Accounting). S2S objective is to efficiently fulfil the goods and service needs of the organization; maximizing value while ensuring adequate controls are in place. It is a transformative program focused on standardizing and digitizing processes across the bank, rationalizing duplicate systems, and capturing accurate spend data.

            -

            -

            The Director, Source to Settle Global Integration Lead, will drive improved integration across the Source to Settle process, and with upstream, downstream and parallel processes. Standardized, integrated processes and data will support the Bank’s objectives of improved user experience, data driven decision making, expense transparency and effective supplier relationship management. The Director will establish and maintain data as a critical asset that underpins the Source to Settle Process with improved data quality, completeness and consistency across existing and future technology platforms. Scope includes execution of continuous improvement initiatives and strategic projects to integrate with adjacent process areas (e.g. risk management, service management, IT asset management, contractor management, real estate, legal services management, budgeting and forecasting) and key data sets (e.g. supplier, contract and spend data). The Director will advise on the approach to deliver end-to-end integration, gaining alignment with the other key process and policy owners, with the goal of advancing the S2S roadmap, while ensuring consistency and synergy among the various Bank’ processes.

            -

            -

            The Director will be responsible for strategic planning, designing, building, and implementing changes across people, process, and technology. The Director will work in collaboration with the Source to Settle Process and Product Owners, Procurement Insights and Analytics, Strategic Supplier Management and Policy and Governance teams to capture data at source and deliver on the reporting and analytics needs of GPS and supported Business Lines. The Director will lead matrix teams - including internal technology and business teams, software vendors, implementation partners and contractors - to execute planned initiatives, working collaboratively across multiple departments and business units to support the overall functional and technology roadmap for Source-to-Settle (S2S) globally. Audit and regulatory requirements are also a key consideration.

            -
              -

              -

              Is this role right for you? In this role, you will:

              -

              -
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
              • Executes the functional and technology strategy, planning, and optimization of audit/regulatory and strategic projects/programs with various levels of complexity; assesses how it will impact a business, including developing a robust risk mitigation plan.
              • Responsible for the designing, building, and implementing of internal and external capabilities for the end-to-end procurement process, working and collaborating across teams at the bank.
              • Oversees work across initiatives to deliver sound procurement practices that align to GPS’s strategic vision, and demonstrates change management and communication execution that will ensure effective rollout and adoption.
              • Identifies ways to expand and improve the work process based on understanding of adjacent policies and procedures, offering and enhancing the quality of existing capabilities through defined governance controls that will measure processes, procedures, and performance.
              • Empowers his/her direct reports to take on accountability and deliver on business objectives and outcomes.
              • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
              • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
              • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates team members by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team.
              • -
              -

              -

              Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

              -

              -
              • Strategic thinking
              • Leading change and managing diverse teams
              • Quickly understanding business issues
              • Exercising good judgment and providing timely, practical solutions
              • Operating effectively at all organizational levels
              • Clearly communicating complex procurement requirements
              • Data management
              • Technology integration
              • Third-party risk management
              • Organizational change management
              • Applying innovative solutions to problem-solving
              • -
              -

              -

              -

              What's in it for you?

              -

              -
              • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
              • A rewarding career path with diverse opportunities for professional development
              • Internal training to support your growth and enhance your skills.
              • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
              • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
              • Hybrid Work Environment
              • -
              -

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Source-to-Settle-Global-Integration-Lead-ON-M5H4B6/585190017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423459-director-source-to-settle-global-integration-lead-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Source-to-Settle-Global-Integration-Lead-ON-M5H4B6/585190017/,draft,2024-10-07T16:31:06.462Z,import-xml-feed:Scotiabank,,,,,,, -1335ccc8-52e8-4cb4-b1cc-18e4e5d8aedd,345423461,Scotiabank,"Manager, MIS Finance",on_site,Canada : Ontario : Toronto,2024-10-07T16:31:06.806Z,"

              -

              -

              -

              -

              Requisition ID: 207649

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Canadian Banking Finance (CBF) is a divisional finance function providing financial management and analytical support to Canadian Banking Executive Management, as well as to the Business Line management in Retail, Automotive Lending, Small Business and Commercial Banking. The MIS team is responsible for development and support of applications and tools primarily for Canadian Banking in the areas of business analysis, reporting and performance measurement. The team also plays a key role in areas such as Customer Profitability and Regional P&L and Monthly Branch Report (MBR).

              -
              -

              -

              Is this role right for you? In this role, you will:

              -
              • Responsible for designated business processes, system tools, and analyses to ensure that the Canadian Banking Finance meets its current and ongoing business requirements
              • Plan, organize and execute the Canadian Banking Finance MIS projects in accordance with departmental priorities. The incumbent is required to review and refine user requirements and develop effective solutions from existing financial and product systems. The role requires the effective use of programming resources, post-completion reviews, and the identification of problems/issues/opportunities where automation can improve on the provision of data for analytical support, planning, forecasting, expense, and performance measurement.
              • Contribute to successful team performance in accordance with the Department’s mandate. Provide support to other team members and contribute to shared accountability for team objectives. Participate in cross-functional projects.
              • Manage other projects as assigned related to core Canadian Banking Finance responsibilities.
              • Managing ETL data operations from end to end, satisfying monthly processing and reporting deadlines with high accuracy. This includes quality assurance and data validation.
              • Leading development and maintenance efforts of performance reports and various other core departmental applications to support Canadian Banking’s’s business growth and strategic projects.
              • Partnering with stakeholders to lead analytical and investigative tasks.
              • Proactively looking for ways to improve and enhance our processing efficiency and accuracy. Adding value to our deliverables for both current and prospective consumers of our outputs.
              • Lead other team members and provide guidance. In addition, the incumbent must possess excellent communication skills and will be interacting with various business lines. It is essential that the incumbent is a proactive and a fast learner.
              • -
              -

              -

              Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

              -
              • Ability to work effectively and diplomatically in a team environment with peers and superiors across organizational lines; also requiring excellent written and strong verbal communication skills.
              • A solid understanding of the Bank’s Retail/Small Business/Commercial products and the processes associated with the analysis of related business growth and revenue streams.
              • A good understanding of the elements of effective control over accuracy and completeness of MIS data and user acceptance testing.
              • Highly organized with demonstrated experience in solving problems and making decisions. This involves ability to work effectively and efficiently under pressure; ability to juggle multiple priorities.
              • -Experience and expertise with managing data operations from front to back using medium-large n-dimensional datasets:
                • Data lifecycle (ETL): MSSQL SMS / SSIS, Shell Scripting, SFTP
                • Data warehousing (EDL/EDW): Hadoop / Hive / DBeaver
                • Data Modeling and reporting: Power BI, MS Access / Excel, OBIEE, SharePoint
                • All aspects of project management and the project lifecycle including: requirement gathering, deep dive analysis, equivalence testing, UAT/QAT testing, change control, production implementation and BCP.
              • 5-10 Years Experience with SAS, mainframe programming, Bash/Korn shell scripting on Unix / Solaris
              • 5-10 Years Experience with Relational database technology: MSSQL / Hadoop / Oracle
              • 5-10Years Experience with .NET languages (ASP / VB / C#), IIS and deploying web sites, SharePoint
              • Python or any other open-source programming languages is a bonus.
              • Willing and able to learn new technologies.
              • -
              -

              -

              What’s in it for you?

              -
              • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
              • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
              • Your career matters! You will have access to career development and progression opportunities.
              • -
              -

              -

              #scotiafinancejobs

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-MIS-Finance-ON-M5H1H1/584870517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-10T16:36:05.537Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423461-manager-mis-finance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-MIS-Finance-ON-M5H1H1/584870517/,draft,2024-10-07T16:31:06.806Z,import-xml-feed:Scotiabank,,,,,,, -d42c1272-c277-419e-9f5b-dbb5f2046a7c,345423465,Scotiabank,Velocity - Corporate Security Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:07.476Z,"

              -

              -

              -

              -

              Requisition ID: 206650

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Velocity – Corporate Security Internship/Co-Op – Winter 2025

              -

              Term: January– April 2025

              -

              -

              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              -

              -

              The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

              -

              -

              Some areas of Corporate Security that you could be working under, include:

              -

              -
              • Digital Forensics Unit: This unit includes supporting management of Scotiabank in ensuring the security and safety of the Bank’s staff, customers, reputation, physical and financial assets by providing value-added and cost effective consultative, investigative and program management services to mitigate the risks arising from internal and external threats
              • Security Operations Centre: This unit provides 24/7 critical incident management support and is responsible for the response to physical security related incidents that may endanger staff/customers and/or Bank facilities, impact operations or pose reputational risk.
              • I3 – Intelligence, Insider, and Insights: This unit seeks to detect, deter, and mitigate the risks associated with trusted insiders and protect the privacy of the Bank and its customers while reducing potential harm to the organization. It provides insights on program, control and process effectiveness derived from all Corporate Security programs. It also provides an intelligence-led approach to loss prevention and supports the prevention, detection, analysis, and response to security incidents.
              • Judicial Documents Services: This unit collaborates with third party requests for information. It ensures that documents provided meet the criteria of the request and all required documentation adheres to bank guidelines on privacy and customer confidentiality. This team complies with court orders, production orders, Canada Revenue Agency requests, Public Guardian, and Trustee requests and many more!
              • -
              -

              -

              Is this role right for you? In this role, you will:

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • -
              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
              • You have a strong background in programming skills suck as Python, although not required.
              • You are proficient in Microsoft Excel, Access and Word
              • You have strong analytical, communication and time management skills.
              • You have excellent organizational and problem-solving skills.
              • You have a keen interest in criminology and associated areas would be an asset
              • -
              -

              -

              What’s in it for you?

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • You’ll get the chance to work with an agile team and will have the chance to learn about all the systems and procedures in place to help protect the bank and it’s customers.
              • -
              -

              How do I apply?

              -

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

              -

              -
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete a short one-way video interview here.
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
              4. -
              -

              Application Deadline: 10/18/2024

              -

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Corporate-Security-InternshipCo-op-Winter-2025-ON/584362217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T16:31:07.485Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345423465-velocity-corporate-security-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Corporate-Security-InternshipCo-op-Winter-2025-ON/584362217/,draft,2024-10-07T16:31:07.476Z,import-xml-feed:Scotiabank,,,,,,, -ad9e1b40-cce4-4c75-aa0f-9362422a63b7,345423479,Scotiabank,Wealth Management - Strategy & Projects Intern/Co-op Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa,2024-10-07T16:31:09.110Z,"

              -

              -

              -

              -

              Requisition ID: 206569

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Term: Jan – April 2025

              -

              Application Deadline: 10/18/2024

              -

              -

              There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              -

              -

              -

              Is this role right for you? In this role, you will:

              -

              -

              Assist in the development of projects and key initiatives.

              -
              • Contribute to the preparation of reporting and project enhancement recommendations.
              • Manage the development and implementation of enhancements to existing programs/projects.
              • Continually acquire and enhance knowledge of business strategies.
              • Work with numerous stakeholders and subject matter experts in producing presentation and support material.
              • Draft, document and review detailed project and support communications that will ensure details are being communicated as required.
              • Draft policies and procedures for project roll out to ensure a smooth transition from project implementation to day to day operation.
              • Act as general business support in cross-functional projects, working collaboratively with partners to move assigned deliverables forward.
              • -
              -

              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -

              -
              • You are currently enrolled in post-secondary education.
              • -
              -
              • You have a passion for innovation and ongoing interest in emerging trends.
              • You have creative communicator with the ability to contribute to decks, proposals and other materials that showcase projects under development.
              • You enjoy working in a fast-paced, dynamic environment where idea generation is valued at all levels of the organization.
              • You have strong analytical skills.
              • -
              -
              • You have strong written and oral communication skills.
              • You have strong organizational and planning skills.
              • You have experience in MS Word, MS Excel, and PowerPoint.
              • -
              -

              -

              -

              -

              What’s in it for you?

              -

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • -
              -

              -

              -

              How do I apply?

              -

              -

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below

              -
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete short one-way video interview here
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
              4. -
              -

              -

              **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

              -

              -

              -

              Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategy-&-Projects-InternCo-op-Winter-2025-ON/584347417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345423479-wealth-management-strategy-projects-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Strategy-&-Projects-InternCo-op-Winter-2025-ON/584347417/,draft,2024-10-07T16:31:09.110Z,import-xml-feed:Scotiabank,,,,,,, -14fd09aa-14a9-45f3-a51a-5c69371506ba,345361478,Roche,AI and Digital Pathology Intern,on_site,"Ontario, Canada",2024-10-07T08:58:02.132Z,"
              -

              Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

              -

              -

              -

              The Position

              -

              We are seeking a dedicated and motivated intern to join our Integrated Informatics team, focusing on Digital Pathology projects. This exciting role involves collaboration with our early research organization to evaluate secure research cloud solutions, aiming to revolutionize healthcare through technological innovation.

              -

              -

              The Opportunity:

              -
                -
              • Collaborate with teams in informatics and early research organizations to evaluate and implement secure research cloud solutions.

              • -
              • Evaluate cloud-based software solutions specifically tailored for Digital Pathology.

              • -
              • Analyze and interpret histopathological specimen data using sophisticated computational techniques.

              • -
              • Integrate deep learning models into biomedical image analysis and pathology workflows.

              • -
              • Use high-performance computing environments to process and run large datasets.

              • -
              • Contribute to the improvement of machine learning models and the development and optimization of algorithms for Digital Pathology applications.

              • -
              -

              -

              Who you are:

              -
                -
              • Current pursuing M.Sc. or PhD candidate in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

              • -
              • Strong foundation in Machine Learning, Computational Biology, Computer Science, Software Engineering, Bioinformatics, Data Science, or a related field.

              • -
              • Excellent programming skills in Python 3.x and Bash, with deep understanding of Linear Algebra and Numpy.

              • -
              • Experience in Microscopy, Digital Pathology, Histopathological specimen preparation, or Biomedical Image analysis.

              • -
              • Previous experience in Deep Learning and Computer Vision, with familiarity in High Performance Computing (HPC) environments and modern Deep Learning frameworks like PyTorch and TensorFlow 2.x.

              • -
              • Strong problem-solving skills, with the ability to work independently and collaboratively within a team.

              • -
              -

              -

              Additional Information:

              -

              Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

              -

              Hours: full-time (35 hours per week)

              -

              Length: This position is a minimum 6-month work term (full-time).

              -

              -

              This position is not eligible for relocation support.

              -

              -

              Who we are

              -

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              -

              -

              Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

              -

              -

              As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

              -
              -

              -

              Roche is an Equal Opportunity Employer.

              -
              -
              ",,https://careers.roche.com/global/en/job/202409-123479/AI-and-Digital-Pathology-Intern,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345361478-ai-and-digital-pathology-intern-at-roche,,draft,2024-10-07T08:58:02.132Z,import-xml-feed:Selenium-Scraper,,,,,,, -12764810-180c-42a8-9acc-912a30529115,345762486,OMERS,"Business Analyst, Trading Platform",on_site,"Ontario, Canada",2024-10-10T08:58:03.613Z,"
              -

              Choose a workplace that empowers your impact.

              -

              Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

              -

              -

              We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

              -

              -

              Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

              -

              -

              Don’t just work anywhere — come build tomorrow together with us.

              -

              -

              Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

              -

              -

              -

              -

              Reporting to the Manager, Trading Platform, Capital Markets Finance, the Business Analyst role responsibilities include defining business specifications for new solutions & integrations, developing test plans, upgrading applications, developing reporting and troubleshooting data issues. The role requires an excellent understanding of investment business processes and experience maintaining & supporting investment applications combined with excellent analytical project work skills, including requirements analysis and documentation, root cause analysis of production issues, testing of application or integration changes, and implementation change management. The position requires strong analytical skills coupled with investment operations knowledge (both Front, Middle & Back Office) and systems implementation and application maintenance experience. It requires strong interpersonal, organizational and project management skills combined with the ability to readily adapt to rapidly changing investment and technology environments.

              -

              -

              We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

              -

              -

              Responsibilities:

              -
                -
              • Acquires detailed knowledge of the business uses of the applications and services (in both Investment Front Office and Investment Operations context) currently implemented in support of our partners and provides proactive application support to individual users to assist in meeting business program objectives.

              • -
              • Provides business system analysis support in approved projects with respect to the identification of automation opportunities, assistance in workflow design development, and software evaluations.

              • -
              • Assumes responsibilities in project activities including the definition of business requirements, design and implementation of system interfaces, testing, documentation, upgrades of investment applications, data conversions and reconciliations.

              • -
              • Provides support to users in the development of new reports and in the resolution of reporting and other data issues.

              • -
              • Provides problem solving, troubleshooting of issues, and consulting support for newly implemented investment system functions.

              • -
              • Assumes responsibilities in developing test cases, implementation plans, defining workflow solutions, controls, standards, and naming conventions within applications.

              • -
              • Develops user manuals, application documentation and application training programs.

              • -
              • Develops effective working relationships with investment management and operations groups, custodian, auditors, systems vendors, and others in the industry.

              • -
              • Works cross-functionally with other analysts within the group/floor, IT Infrastructure, and Vendors as appropriate to facilitate the roll-out and ongoing support of major application additions, enhancements, workflows, and upgrades for our partners.

              • -
              -

              -

              Qualifications:

              -
                -
              • University degree in Computer Science & Mathematics, Commerce & Finance, Engineering, or equivalent industry-related business experience; completion of Canadian Securities Course an asset.

              • -
              • A minimum of 2 - 3 years experience as a Business/Systems Analyst with exposure in relevant investment systems implementation activities. Investment applications including trading, portfolio management & analytics tools on various platforms with emphasis on SQL Server based products.

              • -
              • Demonstrated project skills and experience in all phases of solution development life cycle.

              • -
              • Experience in defining, implementing, and supporting investment business solutions.

              • -
              • Experience in investment business operations with thorough understanding of trading and portfolio accounting.

              • -
              • Experience with developing integration between investment applications and development of data feed interfaces is beneficial.

              • -
              • Experience in Front Office Trading Applications, as well as middle/back office applications (including but not limited to Charles River IMS, Omgeo, Bloomberg, Calypso) is beneficial.

              • -
              • Experience with SSRS and ODBC report writers is beneficial. Experience with SQL queries and Power BI.

              • -
              • Working knowledge of MS Office including Excel spreadsheets, with intermediate skills in Macros, pivots, real time links/queries.

              • -
              • Excellent interpersonal skills to foster effective team dynamics.

              • -
              • Strong analytical and problem-solving skills to facilitate the implementation of application systems to meet business objectives.

              • -
              • Ability to multi-task effectively in fast-paced, multiple project environments.

              • -
              • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments.

              • -
              -

              -

              And you demonstrate

              -
                -
              • High standards of business and ethical values including the ability to deal with confidential information

              • -
              • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

              • -
              • A teammate mentality coupled with servant leadership

              • -
              • A sense of urgency, optimism, and a desire to deliver excellence

              • -
              • An uncompromising focus on outcomes

              • -
              • A desire to drive debate, to speak candidly and to listen empathetically; and

              • -
              • Strong orientation towards strategy, change and results

              • -
              • A continuous improvement mindset

              • -
              • A passion for delivering “beautiful work”

              • -
              -

              -

              -

              As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

              -

              -

              From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

              -
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Business-Analyst--Trading-Platform_JR-6611?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-09T08:58:03.613Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345762486-business-analyst-trading-platform-at-omers,,draft,2024-10-10T08:58:03.613Z,import-xml-feed:Selenium-Scraper,,,,,,, -d896bace-9c5f-4de7-a68b-4f2638be7d0d,345766012,CIBC,"Analyst, Simplii Digital Expansion",on_site,"Ontario, Canada",2024-10-10T10:04:02.615Z,"
              -

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              -

              -

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              -

              -

              To learn more about CIBC, please visit CIBC.com

              -

              -

              -

              What You’ll Be Doing

              As an Analyst, Simplii Digital Expansion, you’ll support the Director in the ongoing on-site & off-site analyses to identify, prioritize & execute campaign, project release, and evergreen A/B testing, personalization & optimization tactics. You’ll focus on personalized solutions to create relevant, targeted experience for our clients as they engage with our websites and mobile apps – based on continuous experiments. As an Analyst, you’ll also be accountable for recommending, influencing, and implementing digital channel personalization & testing opportunities based on data driven insights.

              -

              -

              At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

              -

              -

              How You’ll Succeed

              -
                -
              • Digital Implementation: You’ll support the execution of Simplii’s Digital Sales roadmap that supports a strong client experience including a personalization and cross channel strategy with the objective of increasing digital sales & engagement. You’ll review customer journeys and segments across digital channels to provide recommendations on how to optimize the customer experience and drive sales. Using your strong partnership skills, you’ll identify new digital sales opportunities to address current or potential sales gaps.

              • -
              • Collaboration & Campaign Management: You’ll support ongoing campaign and evergreen site analysis with the objective of identifying immediate and future ad, page, tool and application optimization opportunities. You’ll participate in discussions with key product groups and partners to review current on-site & off-site digital sales performance while proactively identifying next step campaign & optimization recommendations. Working in an agile environment, you’ll work with a cross functional team to support marketing campaign sprint cycles with the focus on achieving key performance targets.

              • -
              • Analysis: You’ll pull analytics from data visualization platforms and provide ongoing and final campaign test reports to key stakeholders, and maintain a test library. After a launch, you’ll track work with an iterative test, learn and optimize approach and continue to bring forward emerging machine learning trends and recommended tactics.

              • -
              • Relationship Management: You’ll create and manage functional relationships between Digital Expansion team and product partners across all Simplii products to ensure campaigns meet growth objectives and product goals. You’ll work with other CIBC teams including marketing communications, contact centre, CIBC digital, Payments, and technology to ensure all Simplii partners are supported.

              • -
              -

              -

              Who You Are

              -
                -
              • You have a degree/diploma in Marketing, Business, Communications, Computer Science or related field.

              • -
              • You have demonstrated experience using marketing optimization tools and are proficient in using them to drive owned onsite digital campaign performance. You have developed digital sales roadmaps that integrate current & future marketing, sales and analytics capabilities.

              • -
              • You have demonstrated experience in creating and implementing cross-channel optimization and personalization strategies. It\'s an asset if you are experienced with Braze and the Adobe Marketing Cloud platforms.

              • -
              • You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making. You bring strong analytical skills including a track record of making recommendations based on data driven business insights.

              • -
              • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.

              • -
              • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. You bring technical knowledge specific to digital marketing & analytics including working experience with Braze, Adobe, Salesforce, and Ada or other industry tools.

              • -
              • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. You can partner and work closely with internal and external business partners to assess and recommend plans of action.

              • -
              • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

              • -
              -

              -

              What CIBC Offers

              -

              -

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              -
                -
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

              • -
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • -
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • -
              -

              -

              *Subject to plan and program terms and conditions

              -

              -

              What you need to know

              -
                -
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • -
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • -
              • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

              • -
              -

              -

              -

              -

              -

              -

              Job Location

              Toronto-161 Bay St., 4th

              -

              Employment Type

              Regular

              -

              Weekly Hours

              37.5

              -

              Skills

              Marketing Campaigns
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Simplii-Digital-Expansion_2420634?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-17T10:09:04.958Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345766012-analyst-simplii-digital-expansion-at-cibc,,draft,2024-10-10T10:04:02.615Z,import-xml-feed:CIBC-Job-Feed,,,,,,, -6cecacae-e6cb-4e83-8d54-3e618ed06abc,345759463,Google,"Program Manager, Digital Support Experience, Google Cloud",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.316Z,"
              -
              -

              Program Manager, Digital Support Experience, Google Cloud

              -
              -
              -
              -
              -share -
              -
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              • -linkCopy link -
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              • -emailEmail a friend -
              • -
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              -
              -corporate_fareGoogleplaceWaterloo, ON, Canada; Toronto, ON, Canada
              -
              -
              -
              -bar_chartMid -
              -
              -

              Mid

              -
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              -
              -
              -
              -
              -
              -Apply
              -
              -
              -
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              -share -
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              • -linkCopy link -
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              • -emailEmail a friend -
              • -
              -
              -
              +

              About Us

              +

              Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

              +

              We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

              +

              Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

              +

              Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

              +

              +

              -
              -
              -
              -
              info_outline
              -XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada. +
              ",,https://job-boards.greenhouse.io/ada18/jobs/4474237007,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662411-professional-services-consultant-at-ada,,draft,2024-09-26T08:58:03.474Z,import-xml-feed:Selenium-Scraper,,,,,,, +54d50ffa-9faa-4e56-88cf-c6cc7eec8355,343662417,Ada,HR Generalist,on_site,"Ontario, Canada",2024-09-26T08:58:03.986Z,"
              +
              +
              +
              At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
              +
              +
              Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx
              -
              -

              Minimum qualifications:

              +
              +

              We are searching for an HR Generalist to join our People Operations team and continue to elevate the Ada Owner experience. As an HR Generalist, you will own the full employee journey including orientation, programs, systems and offboarding. As an integral member of the team, you will use your strong communication and relationship-building expertise to ensure every Ada Owner feels supported & has an extraordinary experience at the company.

              +

              This is a Toronto, Ontario based position. While the position is fully remote there will be occasions where you\'ll need to visit our Toronto Collaboration Hub.

              +

              About You

                -
              • Bachelor\'s degree or equivalent practical experience.
                -
              • -
              • 3 years of experience in a program or project management, data analyst, business intelligence, or customer support operations role.
                -
              • -
              • Experience working with SQL, connecting and summarizing and datasets.
                -
              • +
              • Bachelor’s degree in Human Resources, Business Administration, or related field.
              • +
              • 3+ years of experience in HR, with a strong understanding of HR principles and best practices. Experience working within employment regulations in Canada and the US. Previous experience managing HR programs & systems is an asset.
              • +
              • Exceptional interpersonal and communication skills.
              • +
              • Strong attention to detail – you strive to get it right and deliver the best outcome for stakeholders.
              • +
              • Ability to handle sensitive situations with professionalism and confidentiality.
              • +
              • Proven experience managing multiple tasks and priorities.
              • +
              • Familiarity with HR software such as BambooHR and Greenhouse.
              • +
              • High proficiency with MS Office and Google Suite, specifically with Excel and Google Sheets.
              • +
              • A relentless drive to get things done, and get it done well.
              -

              Preferred qualifications:

              +

              Outcomes

                -
              • Experience using GCP products.
                -
              • -
              • Experience with research, experimentation, A/B tests, working with large datasets, statistical analysis methods and tools, or maintaining data pipelines.
                -
              • -
              • Ability to articulate complex findings and recommendations.
                -
              • -
              • Ability to solve complex and ambiguous problems by applying a data driven approach with guidance.
                -
              • -
              • Ability to work with cross-functional teams.
                -
              • +
              • +Onboarding & Offboarding: Leads orientation for all new Ada Owners and continues to improve the program to support our global workforce. Conducts exit interviews for departing Ada Owners and analyzes data for key trends.
              • +
              • +HR Administration: Creates contracts and letters for all employee changes, ensuring high accuracy and compliance with local employment laws and company policies.
              • +
              • +HR Systems: Manages the HRIS with complete & accurate information and supports with managing the ATS where needed.
              • +
              • +Total Rewards: Owns administration of benefits and supports the performance and compensation review cycles.
              • +
              • +HR Programs: Maintains and leads the development of new programs that promote engagement and support career development. Works closely with the Office Manager on community events where needed.
              • +
              • +Employee Relations: Acts as a primary point of contact for Ada Owner inquiries and provides timely & accurate information.
              • +
              • +Other: Proactively introduces process improvements, generates reporting for stakeholders, and supports new projects as needed.
              -
              -
              -

              About the job

              -

              In this role, you will use your knowledge of data analysis, AI, and project management to lead complex, data driven, multi-disciplinary projects. You will work with a cross-functional team of developer, UX and data scientists to identify opportunities to improve our product and service offerings, manage those projects throughout their entire lifecycle and ultimately drive the strategy of our product.

              -

              You will use data to drive a product roadmap and bring its initiatives all the way to implementation.

              -

              Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

              -
              -
              -

              Responsibilities

              +

              Benefits

                -
              • Own our data and insights platform and design, create and maintain datasets with appropriate architecture with data complexity and need for accuracy.
              • -
              • Apply expertise in quantitative analysis and data mining to create insights into problems our customers are trying to solve and how they engage with our products.
              • -
              • See beyond the numbers to weave stories that brings the team around the same understanding of the roadblocks on our mission, and translate opportunities into solutions and drive our product roadmap.
              • -
              • Prioritize the most promising projects and bring together the relevant stakeholders to take them all the way through to A/B testing and final rollout stage.
              • +
              • Competitive salary and generous stock option plan
              • +
              • Unlimited vacation
              • +
              • Wellness account
              • +
              • Extended health coverage
              • +
              • Dental/optical/travel insurance
              • +
              • Life insurance
              • +
              • Employee and family assistance plan
              • +
              +

              Perks

              +
                +
              • Flexible work schedule
              • +
              • Remote-first, In-person friendly work environment with WFH budget
              • +
              • Paid parental leave for Canadian and U.S. residents
              • +
              • Development opportunities
              +

              The expected salary range for this position is $70,000 to $90,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

              +

              +

              +

              #LI-NS1

              -
              -

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              -

              Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

              -

              If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              -

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

              -

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              -
              -
              ",,https://www.google.com/about/careers/applications/jobs/results/103627516572246726-program-manager-digital-support-experience-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-17T08:39:02.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759463-program-manager-digital-support-experience-google-cloud-at-google,,draft,2024-10-10T08:34:02.316Z,import-xml-feed:Google-Job-Feed,,,,,,, -18f66f63-90c6-4dcc-8a0e-17c180a24923,345759465,Google,"Cloud Consultant, Platforms and Infrastructure, Cloud Professional Services",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.643Z,"
              -
              -

              Cloud Consultant, Platforms and Infrastructure, Cloud Professional Services

              -
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              -share -
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              • -linkCopy link -
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              -
              -corporate_fareGoogleplaceAustin, TX, USA; Atlanta, GA, USA; +4 more; +3 more
              -
              -
              -
              -bar_chartMid -
              -
              -

              Mid

              -
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              -
              +

              About Us

              +

              Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

              +

              We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

              +

              Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

              +

              Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

              +

              +

              -
              -
              -
              -Apply
              -
              -
              +
              ",,https://job-boards.greenhouse.io/ada18/jobs/4524207007,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662417-hr-generalist-at-ada,,draft,2024-09-26T08:58:03.986Z,import-xml-feed:Selenium-Scraper,,,,,,, +cc34aca8-6115-4b9f-a94d-d3e32541e32b,343662419,Ada,DevOps Engineer,on_site,"Ontario, Canada",2024-09-26T08:58:04.136Z,"
              -
              -
              -share -
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              • -linkCopy link -
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              • -emailEmail a friend -
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              info_outline
              -XInfo The application window will be open until at least October 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Toronto, ON, Canada.The application window will be open until at least October 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Toronto, ON, Canada. +
              +
              At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
              +
              +
              Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx
              -
              -

              Minimum qualifications:

              +
              +

              We\'re looking for an experienced cloud engineer to join our development operations (DevOps) team. The DevOps team is responsible for building and maintaining the foundational infrastructure and tools that power Ada. They also focus on improving developer velocity, ensuring operational excellence, and fostering a scalable & healthy engineering organization.

              +

              About You

                -
              • Bachelor\'s degree in Computer Science or equivalent practical experience.
                -
              • -
              • 4 years of experience in project management and technical solution delivery.
                -
              • -
              • Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.
                -
              • -
              • Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.
              • +
              • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform teams.
              • +
              • Strong motivation and experience in using automation to reduce operational toil for both the DevOps and product engineering teams.
              • +
              • Hands-on experience managing and scaling data infrastructure.
              • +
              • Hands-on experience with containers and distributed computing platforms like Kubernetes.
              • +
              • Experience creating and supporting cloud-based systems at scale, with a strong emphasis on Infrastructure as Code (IaC).
              • +
              • Strong understanding of a server-side programming language (proficient in one or more of the following languages/tools: Python, and/or bash scripting).
              • +
              • Experience handling on-call responsibilities for production services.
              • +
              • Experience managing critical production infrastructure, ensuring reliability and uptime, with a customer-first approach to operational safety.
              • +
              • Good understanding of DevOps concepts and best practices.
              -

              Preferred qualifications:

              +

              Nice to Have

                -
              • MBA or Master\'s degree in Computer Science, Engineering, or a related field.
                -
              • -
              • Cloud certification.
                -
              • -
              • Experience in one or more of the following disciplines: software development, managing large-scale Linux or other operating systems environments, network design and deployment, databases, storage systems.
                -
              • -
              • Experience in customer-facing migration, service discovery, assessment, planning, execution, and operations.
                -
              • -
              • Experience with networking and system design of load balancers, firewalls and VPN in architecting, developing and maintaining production-grade systems, and with Kubernetes, GKE, or EKS.
                -
              • -
              • Communication, writing, presentation, and problem-solving skills.
                -
              • +
              • Experience with MongoDB and horizontally scaling data stores (i.e. sharding).
              • +
              • Familiarity with managing and scaling environments with 100s/1000s of nodes.
              • +
              • Familiarity with ArgoCD and GitOps principles.
              • +
              • Familiarity with support tooling (PagerDuty, Datadog, Loft, Doppler).
              -
              -
              -

              About the job

              -

              The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

              -

              As a Platforms and Infrastructure Cloud Consultant, you will work directly with Google’s most strategic customers on infrastructure projects that transform business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.

              -

              Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

              -

              The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

              Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

              -
              -
              -

              Responsibilities

              +

              Responsibilities

                -
              • -Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
                -
              • -
              • Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices.
              • -
              • Work with internal specialists, Product, and Developing teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
                -
              • -
              • Interact with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
                -
              • -
              • -Travel approximately 30% of the time for client engagements.
                -
              • +
              • Create and support scalable and highly reliable software systems to support our growth.
              • +
              • Collaborate with product and engineering teams to incorporate reliability into product and feature requirements.
              • +
              • Continuous analysis of the existing infrastructure from the reliability perspective, centered around removing performance bottlenecks, optimizing the infrastructure, the toolkit, and the workflows involved in running it.
              • +
              • Support various developer tools and processes (deployments, infrastructure management, among others).
              • +
              • Work with engineering teams to troubleshoot core infrastructure issues and support teams as a consulted entity for service specific infrastructure needs.
              • +
              • Implement DevOps solutions across cloud infrastructure, infrastructure as code, deployments, and platform abstractions.
              • +
              • Participate in an on-call rotation for the services the team owns, triaging and addressing production issues.
              • +
              +

              Outcomes

              +
                +
              • Contribute to delivering cross-cutting technical solutions that increase efficiency and reduce operational toil within the company.
              • +
              • Participate in our sprint activities including: planning, demos, and retrospectives.
              • +
              • Help the DevOps team deliver on our roadmap by owning and executing projects and tasks.
              • +
              • Enhance the internal developer experience by abstracting non-essential activities from the software development lifecycle.
              • +
              +

              Benefits

              +
                +
              • Competitive salary and generous stock option plan
              • +
              • Unlimited vacation
              • +
              • Wellness account
              • +
              • Extended health coverage
              • +
              • Dental/optical/travel insurance
              • +
              • Life insurance
              • +
              • Employee and family assistance plan
              +

              Perks

              +
                +
              • Flexible work schedule
              • +
              • Remote-first, In-person friendly work environment with WFH budget
              • +
              • Paid parental leave for Canadian and U.S. residents
              • +
              • Development opportunities
              • +
              +

              The expected salary range for this position is $109,054 - $136,641. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

              +

              #LI-NS1

              -
              -

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              -

              Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

              -

              If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              -

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

              -

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              -
              -
              ",,https://www.google.com/about/careers/applications/jobs/results/95626439176397510-cloud-consultant-platforms-and-infrastructure-cloud-professional-services?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-09T08:34:02.663Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345759465-cloud-consultant-platforms-and-infrastructure-cloud-professional-services-at-google,,draft,2024-10-10T08:34:02.643Z,import-xml-feed:Google-Job-Feed,,,,,,, -0a0e672b-0c07-4523-b1d9-80f0f02cc801,345759466,Google,"Senior Account Manager, Large Customer Sales",on_site,"Toronto, ON, Canada",2024-10-10T08:34:02.876Z,"
              -
              -

              Senior Account Manager, Large Customer Sales

              -
              -
              -
              -share -
              -
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              • -linkCopy link -
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              • -emailEmail a friend -
              • -
              -
              -
              -
              -
              -corporate_fareGoogleplaceToronto, ON, Canada
              -
              -
              -
              -bar_chartMid -
              -
              -

              Mid

              -
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              -
              +

              About Us

              +

              Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

              +

              We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

              +

              Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

              +

              Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

              +

              +

              -
              -
              -
              -Apply
              -
              -
              +
              ",,https://job-boards.greenhouse.io/ada18/jobs/4499357007,feed-importer@jobboard.io,,,,2024-10-26T08:58:04.136Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/343662419-devops-engineer-at-ada,,draft,2024-09-26T08:58:04.136Z,import-xml-feed:Selenium-Scraper,,,,,,, +00100893-5be7-42f4-9a2a-6f4586654f6f,343662427,Ada,"Manager, Sales Development",on_site,"Ontario, Canada",2024-09-26T08:58:04.626Z,"
              -
              -
              -share -
              -
                -
              • -linkCopy link -
              • -
              • -emailEmail a friend -
              • -
              +
              +
              At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
              +
              +
              Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx
              -
              -
              -

              Minimum qualifications:

              +
              +

              As an Manager, Sales Development, you\'ll play a crucial role in both driving our sales pipeline and leading a team of 4 SDR’s. You\'ll be responsible for managing outcomes, coaching your team, and adapting to a dynamic environment. Your role involves motivating your team to achieve clear, ambitious targets and performance metrics, while also providing guidance and developing sales strategies. For the first year, you will be both a hands-on team player and a coach, leading by example.

              +

              Team Leadership and Management:

                -
              • Bachelor\'s degree or equivalent practical experience.
                -
              • -
              • 5 years of experience in digital media sales, digital advertising, or digital marketing, or 3 years of experience with an advanced degree.
                -
              • -
              • Experience working with advertisers, agencies, or clients.
                -
              • +
              • Hire, train, and develop SDRs & BDRs to ensure they are skilled and knowledgeable, and consistently motivated
              • +
              • Set clear goals, KPIs, and performance metrics for the team, focusing on both inbound leads and future outbound strategies
              • +
              • Monitor and analyze team performance, providing regular feedback and coaching.
              • +
              • Foster a positive and motivating work environment to maintain high morale and productivity.
              • +
              • Set career development/arc of team members for future growth.
              • +
              • Enhance team skills and strengthen cross-collaboration
              -

              Preferred qualifications:

              +

              Sales Strategy and Execution:

                -
              • Experience in customer-facing consulting or business.
                -
              • -
              • Experience optimizing and troubleshooting products or services.
                -
              • -
              • Experience managing multiple priorities, projects, and stakeholders.
                -
              • -
              • Experience with Google Ads, Display and Video 360, Search Ads 360, YouTube, or similar digital advertising campaigns and platforms.
                -
              • -
              • Experience with project management, working in a complex, matrixed organization.
                -
              • -
              • Familiarity with digital media buying and promoting processes.
                -
              • +
              • Develop and implement effective outreach strategies and sales scripts and demos.
              • +
              • Collaborate closely with the marketing and sales teams to ensure cohesive messaging and target alignment.
              • +
              • Oversee the use of sales tools and technologies, ensuring efficient workflows and processes.
              • +
              • Technical - teach and deliver ‘Gold Demo’ to customers while also gathering business requirements on initial customer conversations
              • +
              • Own AI Agent experience on Ada Website and f/u with leads
              -
              -
              -

              About the job

              -

              Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

              -

              Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

              -
              -
              -

              Responsibilities

              +

              Lead Generation and Qualification:

                -
              • Build and manage relationships with clients, and develop an understanding of their business issues, marketing objectives, and success metrics.
                -
              • -
              • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
                -
              • -
              • Plan for, and achieve, business growth goals, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
                -
              • -
              • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present the customers.
                -
              • -
              • Build knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
                -
              • +
              • Ensure SDRs are effectively prospecting and qualifying leads according to company criteria.
              • +
              • Monitor lead generation activities, adjusting strategies based on market feedback and performance data
              • +
              +

              Reporting and Analysis:

              +
                +
              • Track and report on key metrics, such as lead conversion rates, appointment setting, and pipeline growth.
              • +
              • Analyze data to identify trends, challenges, and opportunities for improvement.
              • +
              • Provide regular reports and insights to senior management.
              • +
              +

              Accountabilities/Measurements:

              +
                +
              • Improved average speed to respond to customer requests for demos (responses within 1 hour)
              • +
              • Improved conversion rates of MQL to S1 Q0Q
              • +
              • Improving overall customer experience rating
              • +
              • Meet or exceed Outbound/Inbound S1 targets (individual/team) - Align team as needed.
              • +
              +

              About You

              +
                +
              • +Leadership and Motivation: Strong ability to lead, inspire, and motivate a team to achieve and exceed targets.
              • +
              • +Analytical Skills: Proficiency in analyzing data and metrics to make informed decisions and improve processes.
              • +
              • +Communication: Excellent verbal and written communication skills for clear and persuasive messaging.
              • +
              • +Sales Acumen: Deep understanding of sales processes, techniques, and tools.
              • +
              • +Adaptability: Ability to adapt to changing market conditions and company goals.
              • +
              • +Problem-Solving: Strong problem-solving skills to address challenges and implement effective solutions.
              • +
              • +Time Management: Efficiently manage time and prioritize tasks for themselves and their team.
              • +
              +

              Benefits

              +
                +
              • Competitive salary and generous stock option plan
              • +
              • Unlimited vacation
              • +
              • Wellness account
              • +
              • Extended health coverage
              • +
              • Dental/optical/travel insurance
              • +
              • Life insurance
              • +
              • Employee and family assistance plan
              +

              Perks

              +
                +
              • Flexible work schedule
              • +
              • Remote-first, In-person friendly work environment with WFH budget
              • +
              • Paid parental leave for Canadian and U.S. residents
              • +
              • Development opportunities
              • +
              +

              The expected salary range for this position is $128,000 to $185,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

              +

              #LI-NS1

              -
              -

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              -

              Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

              -

              If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              -

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

              -

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              -
              -
              ",,https://www.google.com/about/careers/applications/jobs/results/118440267144405702-senior-account-manager-large-customer-sales?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-09T08:34:02.902Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/345759466-senior-account-manager-large-customer-sales-at-google,,draft,2024-10-10T08:34:02.876Z,import-xml-feed:Google-Job-Feed,,,,,,, +
              +

              About Us

              +

              Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

              +

              We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

              +

              Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

              +

              Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

              +

              +

              +
              +
              ",,https://job-boards.greenhouse.io/ada18/jobs/4489485007,feed-importer@jobboard.io,,,,2024-10-26T08:58:04.626Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343662427-manager-sales-development-at-ada,,draft,2024-09-26T08:58:04.626Z,import-xml-feed:Selenium-Scraper,,,,,,, 8aba7fef-90a9-4d27-a561-2348deda966c,322316906,Roche,Lehrstelle als Polymechaniker:in EFZ (ab August 2024),on_site,"Ontario, Canada",2024-05-10T01:36:03.769Z,"

              The Position

              @@ -23445,55 +24627,533 @@ bb58471e-8b1c-41a6-9c7e-7520959682f7,322296841,CIBC,User Experience Researcher,o

              Employment Type

              Regular

              Weekly Hours

              37.5

              Skills

              Analytical Thinking, Data Governance, Data Governance Framework, Data Management, Data Quality, Data Visualization, Microsoft Office, People Management, Strategy Implementation
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Data-Governance_2410570?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-14T01:10:03.452Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/322296843-director-data-governance-at-cibc,,draft,2024-05-10T01:05:03.741Z,import-xml-feed:CIBC-Job-Feed,,,,,,, -ad473147-5620-4c69-9b25-707bbfaf5077,344850577,BELL CANADA,Technical Consultant,on_site,"Ottawa, Ontario, Canada",2024-10-03T21:25:03.075Z,"

              Req Id: 419263 

               

              At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

               

              We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 

               

              Join us. You belong at Bell. 

               

              On the Bell Business Markets team, you’ll be a vital part of making innovation happen for enterprise-scale customers. You’ll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

               

              At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

               

              -
              -
              -

              Summary

              +7f51c7db-aefa-4b5d-8eaa-c3199454df97,331195764,CIBC,Digital UX Content Writer,on_site,"Ontario, Canada",2024-06-27T11:08:02.075Z,"
              +

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              +

              +

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              +

              +

              To learn more about CIBC, please visit CIBC.com

              +

              +

              +
              +

              Digital UX Content Writer, Digital Innovation

              +

              +

              We’re on a mission to build a relationship-focused bank for the modern world, and we’re looking for passionate collaborators, innovators, advisors, and leaders who can get us there. Our distinct culture is built on a shared commitment to do what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Because life at CIBC is not only what you do, but how you do it.

              +

              +

              +

              What You’ll Be Doing

              +

              +

              CIBC’s Digital Innovation team is looking for a Digital UX Content Writer who will help with the development of streamlined, engaging content that adheres to CIBC’s unique Tone of Voice and brand guidelines, which will help our clients make their ambition a reality. As part of a broader Digital Strategy & Innovation team within Digital Strategy, Advice and Open Banking, you’ll have the opportunity to support the development and execution of CIBC’s Digital roadmap.  Reporting to the Senior UX & Design Strategy Lead of Digital Innovation, you will be a part of the creation of digital experiences and user-centric solutions for some of CIBC’s toughest business problems from the very start.

              +

              +

              Note: A digital writing portfolio or writing samples are required to apply for this position. We want to see examples with a UX focus, including problems you helped solve with content solutions/strategy, your specific contributions, and impact to users/results of your solution.

              +

              +

              At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

              +

              +

              How you’ll succeed:

              +
              • Content Writing - Writing content for our sprint teams including app and online interface copy, navigational terminology, microcopy, emails, and promo video scripts (for prototype demo video walkthroughs). This work includes user journeys, wireframing (alongside design), content strategy, ensuring content consistency (both quality of content and repeated phrases across CIBC content) and more.

              +
              • Content Strategy - Developing strategies, standards, guidelines, and processes for the optimization and maintenance of content. Content strategy will always be developed by balancing user and business needs.

              +
              • User Research (UXR) Implementation and Iteration Using research to shape user experiences with meaningful content. This work includes rounds of drafting, being involved in UXR studies through observation and feedback, communicating updates to the working team, and accepting and implementing feedback throughout the entire sprint. All content outputs from this team are informed by UXR and analytics. A successful candidate will be able to manage these inputs and collaborate with these teams to ensure the best content possible.

              +
              • CollaboratingYou will be working in a cross-functional team of UX designers, UX researchers, strategists, developers, and product ownersto create the best possible digital experience for our users. This includes pitching research plans, consulting with digital strategy, and more.

              +
              • CommunicatingYou must provide rationale for your copy decisionsto the working team, and be able to pivot on your strategy based on feedback (both from UXR and working team). A successful candidate will be comfortable with regularly presenting work to senior leadership and internal stakeholders

              -

              The Bell Business Markets (BBM) Professional Services delivery team is the consulting arm of Bell Canada Enterprise tasked with the design, execution and implementation of solutions for the Enterprise Customer market. The continued marketplace growth and success of our team is directly attributed to its members’ expertise and professionalism, the confidence of its technology partners and the unrelenting demands it places on itself in pursuit of that most important driving attribute - Customer Satisfaction. Our team members are technically proficient and have the ability and interest to grasp and learn a broad spectrum of telecommunications technologies. They also remain current with emerging technologies,   deliver administration training to customers, and are able to work flexible hours outside of business hours to meet customer commitments and under pressure. As we continue to grow, we are aiming to recruit more teammates who share our sense of duty to the customer, respect for the individual and drive for personal growth as the current team exemplifies.
               

              -

              The numerous benefits of joining the Bell Business Markets team include work environment flexibility; learning the latest and greatest in technology; competitive benefits and salary; focus on ensuring there is a work/life balance.  You would be joining a diverse team who uniquely places a focus on growing skills and knowledge.  We are a dynamic team with a high degree of focus on our customers. 

              +

              +

              Who You Are

              +
              • You have a degree/diploma in English, Journalism, or Communications (or related field of study)

              +
              • You want to be an owner. Leadership, going above and beyond, and delivering results are right up your alley. You’re ready to champion the content team and give words the hype they deserve. To do this, you’re not afraid to build trust through respect and authenticity, find meaning in new relationships, and surrounding yourself with a diverse network of partners. You use this network to gain the information you need to support your craft and your projects.

              +
              • You have expertise in writing ux copy that’s clear, concise, and focuses on the user by utilizing a data-informed approach. You have worked with extensive and detailed brand guidelines, content decks, tone of voice guides, and content strategy plans. This also includes a strong understanding of grammar, style, tone of voice, tonal modulation, syntax, and best practices for content in the digital space.

              +
              • You have excellent time management and organizational skills that allow you to complete content on tight deadlines with minimal oversight. Content submitted to the Sr UX Content Writer & Strategist should always be in a final content state. A successful candidate is flexible in their work approach and can visit and revisit a project at different stages or whenever work is required, as directed by the Sr UX Content Writer and working team.

              +
              • You’re eager to learn and grow. You’ll have the opportunity to learn from our Sr UX Content Writer and Strategist, Digital Strategists, and Product Designers to develop as a content writer. You understand that feedback is an integral part of the content writing process and you’re willing to both give and receive feedback.

              +

              +
              +

              +

              What CIBC Offers

              +

              +

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              +
                +
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

              • +
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • +
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • +
              +

              +

              *Subject to plan and program terms and conditions

              +

              +

              What you need to know

              +
                +
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • +
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • +
              • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

              • +
              +

              +

              +

              +

              +

              +

              Job Location

              Toronto-81 Bay, 18th Floor

              +

              Employment Type

              Regular

              +

              Weekly Hours

              37.5

              +

              Skills

              Communication, Content Strategy, Copywriting, Digital Content, Figma, Financial Writing, French as a Second Language, Group Problem Solving, Marketing Writing, Mobile Accessibility, Multidisciplinary Teamwork, Presenting to Groups, Receptive to Feedback, Stakeholder Management, Teamwork, User Experience (UX), UX Writing, Web Accessibility, Web Content Accessibility Guidelines (WCAG), Web Copywriting
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Digital-UX-Content-Writer_2413322-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-07-01T07:21:03.030Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331195764-digital-ux-content-writer-at-cibc,,draft,2024-06-27T11:08:02.075Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +f46792b7-9241-4f71-8f04-d7a9291cfc15,331196410,Roche,Strategic Accounts Partner,on_site,"Ontario, Canada",2024-06-27T11:39:05.292Z,"
              +

              Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

              +

              +

              +

              The Position

              +

              +

              A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

              +
                +
              • A unique role to manage our distributors and key accounts

              • +
              • Experience and expertise in Pharma-distribution management preferred

              • +
              • Provides strategic partnering and enables sustainable patient access solutions

              • +
              +

              +

              The Strategic Accounts Partner (SAP) plays a key part in building a high performing affiliate network with long-term sustainability, who are externally focused and being an agile organization. This role drives the identification, creation, and management of key-account/business relationships with partners to identify triple win opportunities.

              +

              +

              As a Strategic Accounts Partner (SAP) you will ensure that our initiatives drive a triple win (for the patients, to the society and for Roche) for the accounts you are responsible for by co-creating and executing on Outcomes and KVIs. Responsibilities include pricing, contracting, negotiation, contract renewals and ongoing contract management, and identifying and following-through on opportunities for company products in coordination with key stakeholders

              +

              +

              Key Responsibilities include but are not limited to:

              +
                +
              • Develop and manage national/local key customer accounts for the affiliate, such as public and private payers, distributors, etc

              • +
              • Optimize insights and engagement with bids committees, wholesalers, distributors, retailers and other customer accounts relevant to company products and priorities

              • +
              • In coordination with Finance and Supply Chain, launch teams and other internal stakeholders, manages pipelining, oversees and provides insight on inventory for key accounts

              • +
              • Develop and maintain partnership with internal and external business partners, influencers and stakeholders across functions towards improved access to products for patients and a better business environment

              • +
              • Drive business development opportunities to optimize access to products, company revenue and market share, customer satisfaction, and other relevant goals.

              • +
              • As a part of network planning, strategy implementation and to ensure best customer experience, visit customers to gather up to date knowledge of the customer situation, learning about the challenges and opportunities and lead problem solving for customer’s issues raised

              • +
              • Identify, qualify and action “simple sales” opportunities for assigned accounts

              • +
              • Maintain all records and documentation as required and associated with professional account management and to Roche quality standards and expectations

              • +
              +

              +

              Who You Are:

              +

              You are someone who is motivated by target achievements and able to link between performance and value. With a customer centric mindset and excellent stakeholder engagement skills, you are able to Focus on win-win engagements with peers, departments, third parties, and customers and build valuable relationships with external stakeholders for long-term success.

              +

              +

              You have:

              +
                +
              • A Bachelor’s degree in Marketing, Business, or related field

              • +
              • Demonstrated experience in marketing with a track record of measurable success

              • +
              • Proficient in using data analytics tools and understanding marketing metrics

              • +
              • Strong communication skills, both written and verbal

              • +
              • Ability to work in a fast-paced environment and handle multiple projects

              • +
              +

              +

              This field-based role is exclusively available to candidates who possess full eligibility to live and work in the Philippines.

              +

              +

              We do not accept any unsolicited resumes or enquiries from recruitment agencies. Roche has a dedicated in-house Talent Acquisition team.

              +

              +

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              +

              Roche is an Equal Opportunity Employer.

              +
              ",,https://careers.roche.com/global/en/job/202405-112484/Strategic-Accounts-Partner,feed-importer@jobboard.io,,,,2024-07-01T07:54:05.230Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331196410-strategic-accounts-partner-at-roche,,draft,2024-06-27T11:39:05.292Z,import-xml-feed:Selenium-Scraper,,,,,,, +65040048-c2b7-4f13-b37e-d9aafe04a25b,331196412,Roche,Principal Software Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:05.418Z,"
              +

              Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

              +

              +

              +

              The Position

              +

              The position:

              +

              +

              The Platform team is building the foundation on which a myriad of healthcare and research software applications can be delivered to patients, from the cloud to the lab. The Platform Engineering team is responsible for platform services including the development, testing, deployment and operation of software. In addition, the function will manage the platform onboarding and developer experience.

              +

              +

              The Principal Software Engineer is a key member of a team of 10+ engineers and will apply knowledge of design principles, practices in the implementation of complex, enterprise-scale software systems.

              +

              +

              Your Key Responsibilities:

              +
                +
              • Software Development: This is a hands-on software development position to write high-quality software that will perform at scale, be supportable, and be extensible.

              • +
              • Process & Operations: Ensuring the software stack integrates with our existing CI pipeline and contribute to continuous improvement; independently design, plan and deliver high-quality software

              • +
              • Leadership: Ensuring a culture that values technical excellence together with support and compassion for individuals. Leading architecture and design discussions to come up with the most effective technical solution and having the ability to influence within and outside the team

              • +
              +

              +

              Who you are:

              +
                +
              • You hold a BS/MS degree in Computer Science or directly related discipline

              • +
              • You have 10+ years of hands-on industry experience as a software engineer

              • +
              • You have successfully built, deployed, and supported an enterprise-scale web application in the cloud (AWS preferred); ideally with full-stack experience, with expertise in at least one layer

              • +
              • You have hands-on software development experience in either Java or C++/C# with expertise in at least one. And with JavaScript with a modern MVC framework (e.g. Angular, React, etc.)

              • +
              • You are a quick learner with the ability to understand complex workflows and develop and validate innovative solutions to solve difficult problems

              • +
              +

              +

              Nice to Have

              +
                +
              • Spring Framework experience

              • +
              • Familiarity with healthcare data and workflows is a plus (e.g. HL7, IHE)

              • +
              +

              +

              What do we offer?

              +

              +

              We offer competitive compensation and excellent social benefits like flexible work schedule and home office policies, medical insurance, pension plan, allowances for marriage and birth, training related to your career development, gym, meal allowance, flexible remuneration scheme with its fiscal advantages and other benefits

              +

              +

              https://youtu.be/Jtm7g7fBnlQ

              +

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              +

              Roche is an Equal Opportunity Employer.

              +
              ",,https://careers.roche.com/global/en/job/202311-126215/Principal-Software-Engineer,feed-importer@jobboard.io,,,,2024-07-01T07:54:05.230Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/331196412-principal-software-engineer-at-roche,,draft,2024-06-27T11:39:05.418Z,import-xml-feed:Selenium-Scraper,,,,,,, +6dc60a5e-5ebf-43f3-9af5-2d726ff14343,331195816,Thomson Reuters,"Manager, Legal Operations",on_site,"Ontario, Canada",2024-06-27T11:16:02.135Z,"
              JOB DESCRIPTION
              +

              Manager, Legal Operations

              +

              +

              Role Summary:

              +

              We are seeking an inspired, business-minded leader with exceptional written and oral communication, interpersonal, and collaboration skills, who can influence and express ideas effectively in individual and group situations. The Manager, Legal Operations will manage key processes that are critical to the global operations of the Thomson Reuters General Counsel’s Office, which has a staff of approximately 80 legal professionals around the world. The role will lead the Legal Operations function which includes a small staff of Legal Operations professionals. This role reports directly to Deputy General Counsel, Corporate & Securities.

              +

              +

              The role will bring the leadership, knowledge, and expertise necessary to drive peak operational General Counsel’s Office performance. The successful candidate will have an ability to develop strong relationships with internal stakeholders and core competencies in implementing policies, processes, and technologies to increase value to the company while driving efficiency and effectiveness. This role requires an individual with strong project management and team development skills.

              +

              The successful candidate will partner with internal stakeholders across the Thomson Reuters General Counsel’s Office and with other enabling functions and businesses in a diverse number of areas, including:

              +

              +

              About the Role

              +

              Major responsibilities & accountabilities in this role as Manager, Legal Operations will be:

              +
                +
              • +Strategic Planning – Help the department set its annual & long-term goals to enable growth in alignment with our corporate strategy. Track to and report on these objectives.
              • +
              • +Technology and Process – Evolve our technology and innovation roadmap, and develop or enhance maturity in all key areas - eBilling, workflow and document automation, self-service, knowledge management, document management, matter management, eSignature, generative AI tools etc. Examine existing processes and capture opportunities to make things simpler and automated. Ability to develop change management strategies to train, encourage, and support the staff to evolve our ways of working.
              • +
              • +Outside Counsel and Legal Vendor Management – Partner with procurement, accounts payable and members of the General Counsel’s Office to ensure value with our vendors, monitor forecasts vs. actuals, support process definition and training and all other aspects of vendor and outside counsel management, including reporting on all of these. Help to optimize processes to engage outside counsel and manage outside counsel spend.
              • +
              • +Financial Planning and Analysis – Development and management of the General Counsel’s Office annual operating plan, to include forecasting and accruals. Participate in strategic planning process to determine future headcount and spend by practice and geography. Works closely with Finance and HR as key stakeholders and partners.
              • +
              • +Data & Analytics – Develop maturity in all areas of our use of data and analytics, especially within our Commercial practice group. Develop and refine dashboards for use by Chief Legal Officer and GCO Leadership Team.
              • +
              • +Talent Management and Professional Development - Together with HR and Leadership team, support hiring and onboarding initiatives, performance evaluation cadence, etc.
              • +
              +

              +

              About You
              You\'re a fit for the role of Manager, Legal Operations, if your background includes:

              +
                +
              • Minimum of five years of recent and relevant experience as a business/operations manager. Experience in a law firm or corporate legal department preferred. This includes:
                  +
                • Managing the technology and the change management strategies that enable our corporate legal department to be more efficient (using the tools mentioned above)
                • +
                • Managing financial and budget processes in large corporate environment, including monthly and quarterly close procedures, quarterly forecasts and accruals, etc.
                • +
                • Managing outside counsel billing processes and eBilling
                • +
                +
              • +
              • Deep experience with change management and agility practices
              • +
              • Bias toward speed and execution; must be able to keep pace with the exceptionally wide variety of operational tasks in this exciting role
              • +
              • Ability to influence and leverage relationships within and outside the General Counsel’s Office
              • +
              • Results-oriented with a strong ability to execute on required deliverables and drive results; superior project management and organizational skills; ability to work with a high degree of independence and autonomy
              • +
              • Strong commercial and financial acumen
              • +
              • Executive presence, sound judgment, and discretion required
              • +
              +

              Education

              +
                +
              • Bachelor’s degree required; JD not required.
              • +
              • Project management, change management and/or agility certifications are a plus.
              • +
              +

              +

              #LI-DS4

              +

              +

              What\'s in it For You?
              You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

              +
                +
              • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

              • +
              • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

              • +
              • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

              • +
              • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

              • +
              • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

              • +
              • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

              • +
              +

              +

              +

              +

              +

              +


              Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

              +

              +

              We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

              +

              +

              Accessibility

              +

              +

              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

              +

              +

              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

              +

              +

              +

              Protect yourself from fraudulent job postings click here to know more.

              +

              +

              More information about Thomson Reuters can be found on https://thomsonreuters.com.

              +
              ",,https://careers.thomsonreuters.com/us/en/job/JREQ179801/Manager-Legal-Operations?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-07-25T07:47:02.926Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331195816-manager-legal-operations-at-thomson-reuters,,draft,2024-06-27T11:16:02.135Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, +583954b0-3f59-4552-b1a9-e9cd6f98714c,331195836,Google,Senior Account Manager,on_site,"Toronto, ON, Canada",2024-06-27T11:19:02.475Z,"
              +
              +

              Senior Account Manager

              +
              +
              +
              +
              +share +
              +
                +
              • +linkCopy link +
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              • +emailEmail a friend +
              • +
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              -
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              -

              +
              +corporate_fareGoogleplaceToronto, ON, Canada
              +
              +
              +
              +bar_chartMid
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              +

              Mid

              +
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              +
              +
              +
              +
              +
              +Apply
              +
              +
              -

              The Technical Consultant Role:

              +
              +
              +share +
              +
                +
              • +linkCopy link +
              • +
              • +emailEmail a friend +
              • +
              +
              +
              +
              +
              +

              Minimum qualifications:

                -
              • Technical lead for voice solutions SIPT, Hosted IP Voice, Contact Centre technology
              • -
              • Provide customers with Consulting, Design/Configuration, Training and Professional Services
              • +
              • Bachelor\'s degree or equivalent practical experience.
                +
              • +
              • 5 years of experience in digital media sales, digital advertising, or digital marketing, or 3 years of experience with an advanced degree.
                +
              • +
              • Experience working with advertisers, agencies, or clients.
                +
              -

               

              -

              What does a Technical Consultant do?

              +

              Preferred qualifications:

                -
              • Assist Bell Sales Team in selecting the voice telecommunications solution to best meet Customers’ business needs
              • -
              • As part of the solutions team, provide pre-sale demonstrations on the various products to customers
              • -
              • Interactions with customer and various Bell internal and operations teams
              • -
              • Conduct detailed examination of customer communication requirements, design appropriate configurations and assists in coordinating customer implementations (in person or remote)
              • -
              • Prepare and deliver technical reports and presentations to our customers
              • -
              • Participate in the evaluation and shaping of the formation of new product offerings and applications
              • +
              • Experience in customer-facing consulting or business.
                +
              • +
              • Experience optimizing and troubleshooting products or services.
                +
              • +
              • Experience managing multiple priorities, projects, and stakeholders.
                +
              • +
              • Experience with Google Ads, Display and Video 360, Search Ads 360, YouTube, or similar digital advertising campaigns and platforms.
                +
              • +
              • Experience with project management, working in a complex, matrixed organization.
                +
              • +
              • Familiarity with digital media buying and promoting processes.
                +
              +
              +

              About the job

              +

              Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

              +

              Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

              -
              -
              -

              Critical Qualifications

              +
              +

              Responsibilities

              +
                +
              • Build and manage relationships with clients, and develop an understanding of their business issues, marketing objectives, and success metrics.
                +
              • +
              • Work proactively and cooperatively with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard.
                +
              • +
              • Plan for, and achieve, business growth goals, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
                +
              • +
              • Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present the customers.
                +
              • +
              • Build knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
                +
              • +
              -
                -
              • Client facing work experience 
              • -
              • Solid knowledge and experience on TCP/IP Networks, Voice over IP, DHCP, VLAN, LANs, WANs, Ethernet, Routing, IP Applications, Cloud
              • -
              • Minimum of 3 years of technical experience in a telecommunications environment, including knowledge of telephone networks and voice technology
              • -
              • Ability to manage and coordinate multiple customer projects simultaneously 
              • -
              • -CCNA certification is an asset 
                 
              • +
                +

                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                +

                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                +

                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                +

                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                +

                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                +
                +
              ",,https://www.google.com/about/careers/applications/jobs/results/113226440819778246-senior-account-manager?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-15T05:49:02.513Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331195836-senior-account-manager-at-google,,draft,2024-06-27T11:19:02.475Z,import-xml-feed:Google-Job-Feed,,,,,,, +d6bbf76b-fa97-46d8-9219-022ee60528e3,332511236,Google,"Graphics Software Developer, Augmented Reality Graphics",on_site,"Toronto, ON, Canada",2024-07-04T07:27:02.419Z,"
              +
              +

              Graphics Software Developer, Augmented Reality Graphics

              +
              +
              +
              +
              +share +
              +
                +
              • +linkCopy link +
              • +
              • +emailEmail a friend +
              • +
              +
              +
              +
              +
              +corporate_fareGoogleplaceWaterloo, ON, Canada
              +
              +
              +
              +bar_chartMid +
              +
              +

              Mid

              +
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              +
              +
              +
              +
              +
              +Apply
              +
              +
              +
              +
              +
              +share +
              +
                +
              • +linkCopy link +
              • +
              • +emailEmail a friend +
              -

              #EmployeeReferralProgram  

               

              Adequate knowledge of French is required for positions in Quebec. 

               

              Additional Information:

              Position Type: Management

              Job Status: Regular - Full Time

              Job Location: Canada : Ontario : Mississauga || Canada : New Brunswick : Moncton || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal 
              Work Arrangement: Hybrid
              Application Deadline: 10/10/2024

               

              For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

               

              Please apply directly online to be considered for this role.  Applications through email will not be accepted.

               

              We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

               

              We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

               

              We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

               

              Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

               

              Created: Canada, ON, Toronto

               

              Bell, one of Canada's Top 100 Employers.

              ",,https://jobs.bell.ca/ca/en/job/BECACA419263EXTERNALENCA/Technical-Consultant?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-11T21:30:03.609Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344850577-technical-consultant-at-bell-canada,BECACA419263EXTERNALENCA,draft,2024-10-03T21:25:03.075Z,import-xml-feed:Bell-Canada,,,,,,, -7e48fc0e-06e8-4232-ad2a-a181b6230030,344787038,Google,"Software Developer III, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2024-10-03T08:34:02.172Z,"
              +
              +
              +
              +

              Minimum qualifications:

              +
                +
              • Bachelor’s degree or equivalent practical experience.
                +
              • +
              • 2 years of experience with software development in C++, or 1 year of experience with an advanced degree. Experience working with Linux kernel.
                +
              • +
              • 2 years of experience with data structures or algorithms.
                +
              • +
              • Experience in computer vision, graphics, or machine learning, or computational imaging.
              • +
              +

              Preferred qualifications:

              +
                +
              • Master\'s degree or PhD in Computer Science, or a related technical field.
                +
              • +
              • Experience developing accessible technologies.
                +
              • +
              +
              +
              +

              About the job

              +

              Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

              +

              In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

              +

              The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

              +
              +
              +

              Responsibilities

              +
                +
              • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                +
              • +
              • Work on multiple problems at the intersection of graphics APIs, graphics drivers, and 3D processing.
                +
              • +
              • Help refine and extend the programming model for Vulkan graphics rendering on mobile.
              • +
              • Develop low level software for graphics rendering (e.g., profilers, GPU drivers, rendering performance issues).
                +
              • +
              • Participate in open source software development and maintenance.
                +
              • +
              +
              +
              +

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              +

              Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

              +

              If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              +

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

              +

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              +
              +
              ",,https://www.google.com/about/careers/applications/jobs/results/75289893818770118-graphics-software-developer-augmented-reality-graphics?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-08T07:32:02.024Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/332511236-graphics-software-developer-augmented-reality-graphics-at-google,,draft,2024-07-04T07:27:02.419Z,import-xml-feed:Google-Job-Feed,,,,,,, +c9b54e2f-f2f7-4cb0-bc64-b401b374b813,323046830,OMERS,"Senior Analyst, Investment Finance",on_site,"Ontario, Canada",2024-05-14T01:36:03.946Z,"
              +

              Why join us?

              +

              +

              Are you looking to join a dynamic pension plan that embodies the strong values of its 600,000 members and is an industry leading global investor? If so, we would love to tell you our story.

              At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

              +

              Position Scope:

              +

              The Senior Analyst will report directly to the Manager, Investment Finance and and will be responsible for the accounting, reporting, compliance and analytics, as well as providing transaction support for the assigned portfolio of Infrastructure assets. The Senior Analyst will ensure the completeness and accuracy of financial records for all investments and establish a close working relationship with other members within the Finance, Tax, Legal and Deal teams.

              +

              +

              We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

              +

              +

              As a member of this team, you will be responsible for:

              +
              • Financial Reporting & Analytics

              +
                +
              • Supports the Deal Team and OMERS on various financial reporting and analytics for the assigned Infrastructure portfolios;

              • +
              • Analyzes and provides performance return information (e.g. IRR, total return, cash yield, etc.);

              • +
              • Liaises with deal team, legal, tax and OMERS corporate by providing support in transaction execution;

              • +
              • Maintain accounting records for assigned portfolio of entities, including data processes/bookkeeping on a day-to-day basis in accordance with all applicable agreements and ensure proper treatment under applicable accounting principles;

              • +
              • Prepares/reviews entries to the General Ledger with appropriate analysis and supporting documentation;

              • +
              • Responsible for financial review and variance analysis of the assigned portfolio;

              • +
              • Analyzes financial results to assess reasonability and fluctuations in the assigned portfolio;

              • +
              • Coordinates in the delivery and analysis of financial information, and sharing of financial information for internal/external reporting and tax filings;

              • +
              • Prepares/reviews monthly and year-end working papers with appropriate analysis and supporting documentation for annual financial reporting and audit purposes;

              • +
              • Provides guidance to Analysts in relation to financial reporting/accounting treatments on the assigned portfolio;

              • +
              • Prepares/reviews the quarterly forecast and annual budget for the assigned portfolio;

              • +
              • Participate in accounting research projects, as required;

              • +
              +

              +
              • Cash Management

              +
                +
              • Prepares/reviews project funding requests in accordance with approved commitments, and wire instructions on a timely basis, as required;

              • +
              • Prepares/reviews cash/distribution projections and manage investment strategy on excess cash for assigned portfolio.

              • +
              +

              +
              • Compliance

              +
                +
              • Organizes and oversees the gathering of financial and operating information for compliance reporting purposes;

              • +
              • Responsible for compiling information for statutory and other reporting, as required; and

              • +
              • Liaises with the Legal team to ensure legal records are complete and accurate.

              • +
              +

              +
              • Other duties

              +
                +
              • Acts as back-up to cover duties of other team member(s) in relation to the Infrastructure portfolio; and

              • +
              • Other duties and ad hoc projects as assigned.

              • +
              +

              +

              To succeed in this role, you have:

              +
                +
              • 3+ years of experience in accounting for the financial sector, experience with alternative investments is preferred;

              • +
              • University degree in Business or related discipline;

              • +
              • Successful completion of CPA designation is preferred;

              • +
              • Good understanding of IFRS, knowledge of pension accounting is an asset;

              • +
              • Experience with complex organizational structures, consolidated reporting, and multiple currencies;

              • +
              • Self-motivated to learn new concepts and participate in new projects, ability to learn in a short period of time;

              • +
              • Strong analytical skills and results oriented;

              • +
              • Highly proficient in Microsoft Office tools especially Excel;

              • +
              • Excellent interpersonal skills and the ability to communicate clearly, concisely and accurately (both verbal and written);

              • +
              • Attention to detail, accuracy, and completeness is very important along with the ability to handle multiple tasks efficiently;

              • +
              • Ability to meet tight deadlines and to manage conflicting priorities; and

              • +
              +

              +

              And you demonstrate:

              +
                +
              • A people-first focus with a desire to develop meaningful, positive relationships across all levels

              • +
              • A sense of urgency, optimism, and a desire to deliver excellence as part of the team

              • +
              • A desire to drive debate, to speak candidly and to listen thoughtfully

              • +
              • A continuous improvement mindset

              • +
              +

              +

              #LI-Hybrid

              +

              +

              +

              Our story:

              +

              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

              +

              +

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              +
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Analyst--Investment-Finance_JR-6239?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-07-18T06:09:03.903Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/323046830-senior-analyst-investment-finance-at-omers,,draft,2024-05-14T01:36:03.946Z,import-xml-feed:Selenium-Scraper,,,,,,, +22d5a03a-c326-44a8-8274-62704d27f19a,331856643,Google,"Senior Staff Software Lead, Chrome Browser",on_site,"Toronto, ON, Canada",2024-07-01T07:27:03.123Z,"
              -

              Software Developer III, Google Cloud Platforms

              +

              Senior Staff Software Lead, Chrome Browser

              @@ -23516,17 +25176,17 @@ ad473147-5620-4c69-9b25-707bbfaf5077,344850577,BELL CANADA,Technical Consultant,
              -bar_chartMid +bar_chartAdvanced
              -

              Mid

              -
              Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
              +

              Advanced

              +
              Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
              -Apply
              +Apply
              @@ -23548,36 +25208,44 @@ ad473147-5620-4c69-9b25-707bbfaf5077,344850577,BELL CANADA,Technical Consultant,

              Minimum qualifications:

                -
              • Bachelor’s degree or equivalent practical experience.
              • -
              • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
              • -
              • 2 years of experience with data structures or algorithms in either an academic or industry setting.
              • +
              • Bachelor\'s degree or equivalent practical experience.
                +
              • +
              • 8 years of experience in software development, and with data structures/algorithms.
                +
              • +
              • 8 years of experience in performance evaluation and memory management on platforms.
                +
              • +
              • 5 years of experience with design and architecture; and testing/launching software products.
                +

              Preferred qualifications:

                -
              • Master\'s degree or PhD in Computer Science or related technical fields.
              • -
              • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
                +
              • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
              • -
              • Experience developing accessible technologies.
              • -
              • Proficiency in code and system health, diagnosis and resolution, and software test developing.
                +
              • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
                +
              • +
              • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
                +
              • +
              • Experience with web performance and mobile web performance optimization strategies, tools, and techniques.
                +
              • +
              • Experience with profiling, tuning, and optimization of large software systems across desktop/mobile devices.
              -

              About the job

              -

              Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

              -

              With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

              -
              Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our developers\' developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
              -
              -

              Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

              -
              +

              About the job

              Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

              With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

              Responsibilities

                -
              • Write product or system development code.
              • -
              • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
              • -
              • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
              • -
              • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
              • -
              • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
              • +
              • Lead team members working on performance projects in Chrome and provide technical leadership on high-impact projects. Influence and coach junior developers.
                +
              • +
              • Coordinate across sites globally and across product areas (e.g., Chrome, Android, Play) on shared initiatives for optimizing the next generation of web experiences across form factors and devices capabilities.
                +
              • +
              • Facilitate alignment and clarity across teams on goals, outcomes, and timelines, and manage project priorities, deadlines, and deliverables.
                +
              • +
              • Demonstrate a passion for product excellence, code optimization, as well as designing frameworks and APIs that emphasize extensibility for multiple teams.
                +
              • +
              • Evaluate new requirements from Android/OEMs and be able to propose new designs/optimizations to Chrome to match constraints (e.g., Chrome on Android performance on tablets devices/with a greater proportion of desktop contents).
                +
              @@ -23587,22 +25255,349 @@ ad473147-5620-4c69-9b25-707bbfaf5077,344850577,BELL CANADA,Technical Consultant,

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              -
              ",,https://www.google.com/about/careers/applications/jobs/results/124034309576106694-software-developer-iii-google-cloud-platforms?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-17T08:39:02.200Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/344787038-software-developer-iii-google-cloud-platforms-at-google,,draft,2024-10-03T08:34:02.172Z,import-xml-feed:Google-Job-Feed,,,,,,, -108683f1-f1d4-4637-aca4-2d54d1ab2988,344839959,Magna International,Data Scientist Student,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-03T16:41:03.129Z,"
              +
              ",,https://www.google.com/about/careers/applications/jobs/results/81022628126433990-senior-staff-software-lead-chrome-browser?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-18T07:49:02.501Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/331856643-senior-staff-software-lead-chrome-browser-at-google,,draft,2024-07-01T07:27:03.123Z,import-xml-feed:Google-Job-Feed,,,,,,, +a1f85657-c4db-4873-a613-b4d0bc32a109,331856623,Loblaw Companies Ltd,"Senior Manager, Strategy and Product",on_site,"Ontario, Canada",2024-07-01T07:23:01.819Z,"
              +

              Referred applicants should not apply directly to this role.

              +

              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

              +

              +

              +

              Location:

              500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

              +

              When you hire great people, great things can happen.

              +

              PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

              +

              +

              Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

              +

              +

              Why this role is important

              +

              +

              The Payments Decision Support team’s mandate is to deepen our understanding of customers, embedding analytics in everyday decisions by developing analytical talent across the organization and utilizes leading technology and techniques. The Senior Manager will play a key role in leading the teams efforts in enterprise-wide strategic initiatives and accelerating insights and deep analytics to identify revenue growth opportunities and reducing operational expenses.

              +

              +

              What you will do

              +
                +
              • Translate the team\'s vision into actionable strategies and plans, ensuring alignment with organizational goals and objectives.
              • +
              • Lead analytical efforts for enterprise-wide initiatives and execution of analytical projects, including revenue generation, operational expense optimization, deep analytics, and operational reporting. Track and analyze results and financial performance to support initiatives, ensuring continuous improvement.
              • +
              • Provide effective leadership, and talent development by managing and nurturing a team of data analysts, setting performance expectations, providing direction, guidance, and support to foster a culture of continuous learning.
              • +
              • Foster strong relationships with key stakeholders, peers, and leaders across the organization to ensure effective stakeholder engagement and relationship building.
              • +
              • Drive the integration of analytics into daily decision-making processes, fostering a culture of data-driven insights that extends throughout the organization.
              • +
              • Communicate the value of data insights to non-technical stakeholders, emphasizing their impact on business decisions, and translate their needs into actionable analytics projects.
              • +
              • Explore and implement new data sources through creating standardized data tables; ensure data governance frameworks are established and followed to foster resiliency within the team.
              • +
              • Keep up with advancements in analytical techniques and methodologies to strengthen analytical efforts across the organization.
              • +
              +

              +

              What you bring

              +
                +
              • 5+ years of experience in data analytics; 3+ years of experience managing high preforming team
              • +
              • Proficient in data analytics tools and techniques (e.g. data mining, data cleaning, statistical analysis, and predictive modeling).
              • +
              • Ability to create compelling data visualizations and dashboards to communicate insights effectively to non-technical stakeholders.
              • +
              • Knowledge of database systems and SQL for data retrieval, manipulation, and management.
              • +
              • Proficiency in programming languages commonly used in data analysis (e.g. Python, R, SAS, SQL, etc.)
              • +
              • Mastery of Excel for data analysis, including pivot tables, advanced formulas, and data manipulation.
              • +
              • Strong grasp of financial data, product knowledge, profit drivers an asset.
              • +
              • Undergraduate degree in Mathematics, Economics, Computer Science, Engineering or equivalent.
              • +
              +
                +
              • Strong leadership skills to inspire and guide data insights team, setting a clear vision and fostering a collaborative culture.
              • +
              • Effective communication skills, both written and verbal, to convey complex data insights to non-technical stakeholders.
              • +
              • Ability to build and maintain relationships with business leaders and executives, understanding their needs and aligning analytics efforts accordingly.
              • +
              • Proficient with managing projects to ensure they are delivered on time and within scope.
              • +
              • Strong analytical and critical thinking abilities to solve complex business problems using data-driven approaches.
              • +
              • Mentor, and develop analytical talent, promoting a culture of continuous learning.
              • +
              • Effective time management skills to balance multiple responsibilities and priorities.
              • +
              +

              +

              Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

              +

              +

              +

              Number of Openings:

              1

              +

              PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

              +

              +

              In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

              +

              +

              +

              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

              +

              +

              +

              +

              +

              +

              +
              ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Senior-Manager--Strategy-and-Product_R2000475394?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-07-11T07:28:02.537Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331856623-senior-manager-strategy-and-product-at-loblaw-companies-ltd,,draft,2024-07-01T07:23:01.819Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +96899466-0913-4371-9848-158efeef961f,331856801,OMERS,BI & Data Analyst,on_site,"Ontario, Canada",2024-07-01T07:49:01.871Z,"
              +

              Why join us?

              +

              +

              Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

              At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

              +

              +

              +

              We are looking for a highly motivated BI & Data Analyst to join the Financial Systems Team in Toronto. This role will report to the Senior Manager, Financial Systems and be responsible for acting as a business partner to our finance stakeholders, performing data analysis using a wide variety of applications (including Power BI, Power Platform, UiPath and SQL), and driving automation efforts within the Finance team. To succeed in this role, candidates must be able to drive project completion with strong communication and project management, combined with experience in data analytics, big data mining, and data flow & structure. This role will require effective customer service management, with a proven ability to build relationships between the business groups, financial team and IT department, while being able to multitask in a complex environment.

              +

              +

              As a member of this team, you will:

              +
                +
              • Collaborate with management teams to prioritize business, analytics and information needs and understand project requirements

              • +
              • Work with financial and operational data from primary or secondary data sources from different stakeholder teams and business functions

              • +
              • Seek efficiencies in existing processes and execute process improvement initiatives, including exploring and identifying potential new tools and technologies for enhancing reporting automation capabilities

              • +
              • Identify, analyze, interpret, and report on trends or patterns in complex data sets

              • +
              • Exploring large data sets and drawing meaningful conclusions and insights, including identifying critical metrics and KPIs

              • +
              • Filter and “clean” data by reviewing extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, integrity issues and follow data governance policies

              • +
              • Assist with the preparation and development of reporting, presentations and various materials for discussion at the executive level

              • +
              +

              +

              To succeed in this role, you have:

              +
                +
              • Undergraduate degree in Accounting, Mathematics, Computer Science or a related field.

              • +
              • Have a minimum of 1-2 years of demonstrated experience in a similar role (e.g. Data Analyst or BI Data Analyst).

              • +
              • Team oriented individual with strong communication skills, who is comfortable engaging with different groups within the organization (including non-technical audiences).

              • +
              • Strong project management and organizational skills and ability to work under pressure and manage high priority projects with multiple or competing deadlines.

              • +
              • Willingness to learn new technologies, including RPA, with a strong inclination to improve processes and not settle for ‘status quo’ to generate efficiencies and improve capabilities.

              • +
              • Experience with UiPath Studio, Power Platform, Power BI, SQL, and advanced Excel functionality (including Power Query, VBA) to develop automation solutions. Experience with other BI Tools an asset.

              • +
              • Technical expertise in data mining and analysis, with an understanding of financial reporting concepts.

              • +
              • Demonstrate strong problem-solving skills and innovative approaches for resolution.

              • +
              +

              +

              +

              +

              Our story:

              +

              Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

              +

              +

              For more information on Oxford, visit www.oxfordproperties.com

              +

              +

              +

              +

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              +
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI---Data-Analyst_JR-6312?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-07-08T07:54:03.701Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/331856801-bi-data-analyst-at-omers,,draft,2024-07-01T07:49:01.871Z,import-xml-feed:Selenium-Scraper,,,,,,, +575627ef-d56a-4178-bd50-d0eded88dc38,331856810,Roche,Rechtsreferendar (m/w/d) - Datenschutz,on_site,"Ontario, Canada",2024-07-01T07:49:04.725Z,"
              +

              The Position

              +

              Deine Abteilung

              +

              +

              +

              Als Referendar der Rechtswissenschaft (m/w/d) unterstützt und begleitest Du die Roche-Datenschutzorganisation bei allen Anliegen innerhalb des Datenschutzrechts und angrenzender rechtlicher Themenfelder. Du gewinnst so Einblicke in ein global tätiges Healthcare-Unternehmen und erhältst die Möglichkeit, Deine rechtlichen Kenntnisse in spannenden Projekten und im Austausch mit Deinen Kolleg:innen der Rechtsabteilungen anzuwenden und auszubauen. Die Tätigkeit kann nach Absprache ganz oder teilweise im Home Office sowie an den Standorten Mannheim, Penzberg (Großraum München) oder Grenzach erfolgen.

              +

              +

              Deine Aufgaben

              +
                +
              • Du bearbeitest Fragestellungen aus dem Bereich des Datenschutzrechts und unterstützt den Datenschutzbeauftragten der deutschen Roche-Gesellschaften

              • +
              • Du hilfst bei der Ausgestaltung und kontinuierlichen Verbesserung der Datenschutzprozesse

              • +
              • Du beteiligst Dich an der Durchführung von Datenschutz-Reviews/-Audits

              • +
              • Du berätst Führungskräfte und Mitarbeitende in datenschutzrechtlichen Themen

              • +
              • Du arbeitest selbstständig in Teilprojekten mit Bezug zum Datenschutz und Datenschutz-Management

              • +
              +

              +

              Dein Profil

              +
                +
              • Du bist Referendar (m/w/d) der Rechtswissenschaft und möchtest Deine Wahlstation in einem global agierenden Unternehmen absolvieren

              • +
              • Die erste juristische Staatsprüfung hast Du mit überdurchschnittlichem Erfolg bestanden

              • +
              • Du hast idealerweise erste Kenntnisse im und ein gesteigertes Interesse am Datenschutzrecht

              • +
              • Deine Persönlichkeit zeichnet sich durch Professionalität, Teamfähigkeit und Kreativität aus

              • +
              • Du handelst selbstständig und eigenverantwortlich und bist aufgeschlossen für neue Ideen und Wege

              • +
              +

              +

              Deine Vorteile

              +
                +
              • Flexible Zeiteinteilung und Home-Office

              • +
              • Vergünstigte Essenspreise (-50 %) in unserer Mitarbeiterkantine

              • +
              • Attraktive Standorte mit zahlreichen Benefits, teilweise (standortabhängig und nach Verfügbarkeit) kostenlose Unterkunft im Roche Boardinghouse

              • +
              • Moderne IT-Ausstattung und Teilnahme an Team-Events

              • +
              • Vernetzung mit anderen Rechtsreferendaren (online/offline)

              • +
              +

              +

              Deine Bewerbung

              +

              +

              Bitte lade Deinen Lebenslauf und ein Motivationsschreiben online hoch.

              +

              +

              Bitte gib an, für welchen Zeitraum Du Deine Referendariatsstation vorgesehen hast.

              +

              +

              Zeitraum: ab sofort oder nach Vereinbarung für die Dauer von mind. 3 Monaten

              +

              +

              Wir freuen uns auf deine Bewerbung!

              +

              +

              +

              +

              Your contact to us! With people. For people.

              +

              Do you need more support?

              +

              Our Talent Acquisition Team welcomes your questions. Please send an email to germany.talent_acquisition@roche.com.

              +

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              +

              With more than 7,700 employees, Mannheim is the third largest Roche site in the world. It headquarters the Diabetes Care business unit and the sales organization of diagnostics products and is the hub of the worldwide diagnostics business. From your beginning with Roche, our motivated team will welcome and support you. Numerous opportunities for personal development, flexible work hours, attractive compensation packages and special family assistance programs are available.

              +

              +

              Roche is an Equal Opportunity Employer.

              +
              ",,https://careers.roche.com/global/en/job/202311-124191/Rechtsreferendar-m-w-d-Datenschutz,feed-importer@jobboard.io,,,,2024-07-04T07:54:04.678Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331856810-rechtsreferendar-m-w-d-datenschutz-at-roche,,draft,2024-07-01T07:49:04.725Z,import-xml-feed:Selenium-Scraper,,,,,,, +5a1a621d-221c-4f62-9b17-e9c239ec2414,331856812,Roche,Roche Diagnostics Trainee for Cluj-Napoca,on_site,"Ontario, Canada",2024-07-01T07:49:04.958Z,"
              +

              The Position

              +

              Purpose of the role:

              +

              The position has been created to support Roche Diagnostics Romania in terms of back-office / operational activities, while providing the opportunity for you to become familiar with different activities within the organization and for further learning. This is a hybrid role between office support (admin, planning and reporting activities) and field work (customer interventions and Application maintenance activities of diagnostics instruments etc.)

              +

              Key Responsibilities

              +
                +
              • Assists colleagues in the Service & Customer Support department with the Application maintenance events and troubleshoot activities of equipment in the portfolio
              • +
              • Assist colleagues in the commercial department with the processing of document requests from customers.
              • +
              +
              • Participates in customer visits to promote Roche products and services.
              +
              • Assist colleagues in within the finance department in processing orders received from Roche Diagnostics customers, processing documentation required in tenders, etc.
              +
                +
              • Updates and enhances quality of the database of install instruments, works in specific applications such SAP or Salesforce for case dispatch.
              • +
              • Is involved in parts inventory activity.
              • +
              • Drafts and prepares specific documents requested by the Service or Commercial department or by the customer.
              • +
              • Creates quotation and contracts based on standard operating procedures, monitors quotations and contracts from the signing to archiving them.
              • +
              • Provides Finance and Logistics department the necessary documentation to issue invoices to customers.
              • +
              +

              +

              Requirements

              +
                +
              • Fresh graduate or recently finished Biology/Biochemistry Faculties
              • +
              • You are a goal oriented person who takes ownership of tasks
              • +
              • Establishes strong collaborative relationships and works well within a team
              • +
              • You are not only a good communicator but also a listener
              • +
              • Good knowledge of English and Romanian, both written and spoken
              • +
              • Good knowledge of Microsoft Office / Google suite
              • +
              +

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              +

              Roche is an Equal Opportunity Employer.

              +
              ",,https://careers.roche.com/global/en/job/202308-119385/Roche-Diagnostics-Trainee-for-Cluj-Napoca,feed-importer@jobboard.io,,,,2024-07-04T07:54:04.678Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331856812-roche-diagnostics-trainee-for-cluj-napoca-at-roche,,draft,2024-07-01T07:49:04.958Z,import-xml-feed:Selenium-Scraper,,,,,,, +bdcc7b12-e30c-4cc6-82f8-eac0fd34f76b,317484261,Magna International,Controller,on_site,"Belleville, ONTARIO, CA, K8N 5T3",2024-04-11T16:38:02.780Z,"

              About the Role

              -

              As a Data Scientist Intern, you will play a key role in supporting our Industry 4.0 and Artificial Intelligence (AI) initiatives specifically focused on optimizing our manufacturing processes for exterior trim parts. You will collaborate with cross-functional teams to collect, analyze, and interpret large datasets to provide insights and solutions that enhance our manufacturing operations, including co-extrusion, assembly, and molding.

              +

              The Controller will be responsible for guiding and supporting the finance department, while ensuring the company’s financial performance meets and exceeds expectations.

              Your Responsibilities

              -
              1. Work with the Data Science, Artificial Intelligence and Information Technology teams to work on and accomplish goals set out by the facility.
              2. Develop and implement data-driven models and algorithms that leverage machine learning and AI techniques to improve operational efficiency, quality, and productivity in co-extrusion, assembly, and molding.
              3. Employ statistical analysis and predictive modeling techniques to identify trends, patterns, and areas for process improvement.
              4. Clean, preprocess, and validate large datasets related to co-extrusion, assembly, and molding to ensure accuracy and reliability.
              5. Conduct supervised experiments, A/B testing, and perform statistical analysis to measure the impact of proposed solutions on manufacturing operations.
              6. -Communicate findings and results in a clear and concise manner to stakeholders, including management, engineers, and manufacturing teams. Collaborate with Data Scientists, Software Developers and Engineers to integrate data-driven solutions into production systems and optimize the manufacturing processes. +
                • Establishing the strategic direction for the business. This activity includes establishing and reporting key financial measures to help guide decision-making, developing cost and pricing strategies for various products and markets and conducting financial analyses in support of strategic initiatives.
                • Generates complex financial analyses for various product business opportunities including ventures, new plant start-ups or consolidations, and new product offerings.
                • Assesses financial/operations results and controls in terms of costs, budgets, trends, etc.
                • Responsible for full cycle budget preparation, approval and attainment, including regular forecasting and analysis.
                • Makes recommendations for increased profit opportunities, more efficient asset utilization, etc. and provides management with relevant information for effective planning.
                • Key systems include Activity Based Management, Financial Evaluation System, planning and reporting processes, etc.
                • Provide leadership and direction to the finance department, ensuring effective goal setting, performance monitoring and reviews, communication and training/development plans.
                • Assists in developing pricing and providing cost estimates for all customer product quotations.
                • Provides technical advice and services to operating and departmental manager, interpreting accounting reports and statements, and investigating action where financial conditions warrant.
                • +
                +
              +
              +

              Who we are looking for

              +
              • An experienced financial leader with a passion for the automotive industry.
              • Strategic, driven and results-oriented professional.
              • +
              +
              +
              +

              Your preferred qualifications

              +
              • Bachelor’s Degree in Accounting or related field of study.
              • CPA Designation, or working towards, preferred.
              • 3+ years of experience in Finance Leadership position in the automotive industry.
              • Must possess moderately advanced Microsoft Office (Work, Excel & PowerPoint) skills; must be/become proficient in company systems.
              • Must possess strong interpersonal skills (oral & written communication and persuasion skills) to build relationships with key stakeholders.
              • Excellent leadership ability with analytical and practical problem-solving ability.
              • +
              +
              +
              +

              What we offer

              +

              At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

              +
              +
              +

              Site Benefits

              +
              • Competitive total rewards package
              • Performance bonus
              • Comprehensive employer-paid health & dental benefits (includes flex plan options)
              • Paid time off
              • RRSP match
              • Magna Base Contribution (3% annual earnings)
              • Profit Sharing
              • Career development & advancement
              • Tuition reimbursement
              • Employee discount program
              • Relocation support / Magna Global Mobility Program
              • +
              +
              +
              +

              Awareness. Unity. Empowerment.

              +

              At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law. Accommodations for disabilities in relation to the job selection process are available upon request.

              +
              +
              ",,https://jobs.magna.com/job/Belleville-Controller-ONTA-K8N-5T3/579820617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-05-11T16:38:02.780Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/317484261-controller-at-magna-international,https://jobs.magna.com/job/Belleville-Controller-ONTA-K8N-5T3/579820617/,draft,2024-04-11T16:38:02.780Z,import-xml-feed:Scrapy-Scraper,,,,,,, +74f486e2-b8ac-4888-a5b4-9c21defe320d,344240809,BMO Financial Group,"Analyst, Data Analytics, Data Foundations & Infrastructure",on_site,"Ontario, Canada",2024-09-30T08:18:02.010Z,"
              +

              Application Deadline:

              10/03/2024

              +

              +

              Address:

              100 King Street West

              +

              +

              Job Family Group:

              Data Analytics & Reporting

              +

              +

              +

              +

              The Analyst, Data Foundations & Infrastructure is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise. is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise.

              +

              +

              The Analyst, Data Foundations & Infrastructure will develop and maintain standard reports and analyze and identify key trends for the BMO Commercial Bank line of business. The role is responsible for performing data extraction, aggregation, transformation, management, and quality reviews of data from multiple data sources for use in reporting and analytics. Data quality is key and any identified issues should have a well defined remediation plan in place. The role requires strong communication skills to work with business partners to explain trends as well as the source of data utilized in reporting. Strong documentation around processes and reporting is required.

              +

              +

              This role will also collaborate with members of key BMO Commercial groups to ensure that data is provided as required on a timely basis.

              +

              +

              Knowledge

              +
                +
              • University degree in math, finance, economics or business-related field
              • +
              • 3-5+ years of direct experience in a related role within the financial services industry with a focus on data management and analytics
              • +
              • Strong knowledge of database programs (SQL)
              • +
              • Knowledge and experience in data preparation, and data analysis
              • +
              • Advanced knowledge and understanding of key financial products and P&L related processes.
              • +
              • Solid knowledge of planning, coordinating, multi-tasking, and analysis
              • +
              +

              +

              Skills

              +
                +
              • Strong interpersonal and management skills
              • +
              • Proven ability to create, manipulate and extract information from large data sets
              • +
              • Detail oriented with good organizational skills
              • +
              • Strong troubleshooting/problem solving abilities.
              • +
              • Experience designing and developing ETL processes would be beneficial
              • +
              • Experience with SAS development would be beneficial
              • +
              • Ability to work under pressure and tight timeframes
              • +
              • Ability to work well in a team environment
              • +
              +

              +

              Responsibilities

              +

              A. Data Management

              +
                +
              • Act as the subject matter expert on the development and management of BMO Commercial Bank data and provide guidance to respond to the evolving needs of the business.
              • +
              • Develop business and system specifications relating to performance monitoring, dashboard feeds and other MIS initiatives
              • +
              • Oversee all major data production problems through to resolution. Identify and recommend appropriate safe guards to prevent reoccurrence of issues.
              • +
              • Building data quality checks into developed applications and process
              • +
              • -
              +
            +

            +

            B. Monthly Revenue Processing

            +
              +
            • Maintain effective relationship with internal partners, and reporting & analytics teams
            • +
            • Developing robust processes to produce revenue data set processing
            • +
            • Reviews financial information for reasonableness and highlights/escalates areas of interest or concern
            • +
            • Prepare manual adjustments as needed
            • +
            • Accountable of the revenue data set processing production
            • +
            +

            +

            C. Analytics

            +
              +
            • Review and resolve data issues, utilizing appropriate analytical approaches
            • +
            • Conduct analytics for new products and processes, understand key implications from the output and develop recommendations to enhance data set processing
            • +
            • Works independently and regularly handles non-routine situations
            • +
            • Broader work or accountabilities may be assigned as needed.
            • +
            +

            D. Technical Support

            +
              +
            • Problems / errors are thoroughly investigated and resolved in a timely manner by involving the appropriate IT and business specialists.
            • +
            • Preparation or implementation of processes / applications into and automated production environment
            • +
            • Administration of applications / systems to ensure functionality, availability, performance and security are maintained
            • +
            • Identify business and technical stakeholders needed to provide requirements
            • +
            +

            +

            +
            +

            +

            Salary:

            +
            $54,500.00 - $101,500.00

            +

            Pay Type:

            Salaried

            +

            The above represents BMO Financial Group’s pay range and type.

            +

            +

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            +

            +

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            +

            +

            +

            We’re here to help

            +

            +

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            +

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            +

            To find out more visit us at https://jobs.bmo.com/ca/en.

            +

            +

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            +

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Data-Analytics--Data-Foundations---Infrastructure_R240025187?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T08:23:03.513Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/344240809-analyst-data-analytics-data-foundations-infrastructure-at-bmo-financial-group,,draft,2024-09-30T08:18:02.010Z,import-xml-feed:BMO-Job-Feed,,,,,,, +3a5fcea6-efa8-4bbc-ae7c-78a8735ace6d,344288490,Magna International,Cyber Security Analyst,on_site,"Brampton, ONTARIO, CA, L6R 4C8",2024-09-30T16:41:03.057Z,"
            +
            +

            About the Role

            +

            Providing a secure and trustworthy customer journey is one of our most important objectives. In order to expand our cybersecurity capabilities and compliance adherence, Cosma International is seeking a Security Analyst to assist in its global cybersecurity and compliance responsibilities. The Security Analyst will report directly to the Group Security Manager. The main objective for the Security Analyst is to assist in implementing the global cybersecurity vision and strategy across our global entities. The Security Analyst will assist in coordinating regional security and compliance initiatives working in collaboration with Magna Global CISO, Cosma International group leadership, regional leadership and several core business support functions, including but not limited to Human Resources, Audit, Compliance, Privacy and Data Protection, Procurement, Business Controls, Finance, Legal, Communications and Operations. A primary focus of this position will be helping secure Cosma’s OT and Industry 4.0 initiatives.

            +
            +
            +

            Your Responsibilities

            +
            • As a cybersecurity analyst, this position is responsible for coordinating the day-to-day activities required both internally and externally to ensure compliance and risk mitigation. Duties include:
            • Support implementation, tracking and compliance enforcement of Corporate Security and Information Security policies and programs.
            • Provides guidance and expert advice to different business units in areas of information technology and cyber security as it relates to projects and strategic initiatives.
            • Asset Management, covering identification and documentation of information and supporting assets.
            • Support of Securing and monitoring of information systems for IT and OT.
            • Ensure Human Resource Security related policies are followed.
            • Ensure compliance with all Information Security controls required by local laws, regulations and contracts.
            • Enforcement and monitoring of logical & physical Access Control measures.
            • Actively seeks resolution, mitigation or closure in identified security risks and gaps.
            • Help develop and update disaster recovery plans and business continuity plans, testing and training.
            • Work with the OT and I4.0 teams to identify and address security risks.
            • The above is intended to describe the general content of and the requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
            • +

            Who we are looking for

            -
            • Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
            • Proficient in programming languages such as Python, R, or SQL, with a solid understanding of data structures and algorithms.
            • Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
            • Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
            • Working with data tools and protocols such as Kepware, MQTT and Mosquito
            • +
              • Bachelor of Science degree in Computer Science, Engineering, Computer Security, Information Systems, or equivalent proof of baseline knowledge.
              • Strong knowledge of various frameworks/regulations such as ISO 27001/2, NIST 800-53, NIST Cybersecurity Framework, GDPR, TISAX, SOX, ITIL, COBIT, COSO or similar.
              • 5+ years of multi-domain security experience.
              • 5+ years of Security, or IT experience.
              • Accredited certifications a plus, such as: CISSP, OSCP, GCIH (Certified Incident Handler) GCIA (Certified Intrusion Analyst) CEH (Certified Ethical Hacker) CCNA (Cisco Certified Network Associate)
              • Automotive or Manufacturing experience preferred.
              • Industrial Controls knowledge preferred.
              • Industry 4.0 knowledge preferred.
              • Previous SOC / NOC experience a plus
              • Data analytics and PowerBI experience ideal.
            @@ -23618,14 +25613,371 @@ ad473147-5620-4c69-9b25-707bbfaf5077,344850577,BELL CANADA,Technical Consultant,

            Site Benefits

            -
            • Corporate Plans for Roger's Cellphone Data Plans

            • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

            • -
            +

            Highly competitive health, dental, and retirement benefits
            Annual performance bonus
            Onsite cafeteria
            Hybrid work environment

            Awareness. Unity. Empowerment.

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            -
            ",,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-07T16:46:02.276Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/344839959-data-scientist-student-at-magna-international,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/,draft,2024-10-03T16:41:03.129Z,import-xml-feed:Scrapy-Scraper,,,,,,, +
            ",,https://jobs.magna.com/job/Brampton-Cyber-Security-Analyst-ONTA-L6R-4C8/585043017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-17T16:46:03.017Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344288490-cyber-security-analyst-at-magna-international,https://jobs.magna.com/job/Brampton-Cyber-Security-Analyst-ONTA-L6R-4C8/585043017/,draft,2024-09-30T16:41:03.057Z,import-xml-feed:Scrapy-Scraper,,,,,,, +fbca08c2-9c36-4750-8438-3dadf2725c8a,344287951,Scotiabank,"Director Application Development, AML Technologies",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:02.956Z,"

            +

            +

            +

            +

            Requisition ID: 202904

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Global AML Alignment

            +

            Scotiabank’s AML Technology team is responsible for running global services that provide the detection and investigation capabilities to meet our Global AML regulatory requirements in the different jurisdictions that Scotiabank operates in. We do this in partnership with the Global AML business to deliver core business capabilities to the enterprise. We work with the different technology teams as we provide an integrated solution both locally and with other global systems team. We support the Investigation Units that support the Global AML space as well.

            +

            +

            Role

            +

            As the Director of AML Technology, Application Development, the incumbent will be responsible for overseeing the delivery of essential software solutions and management of the key platforms and capabilities that our Business Partners rely on to adhere to regulatory commitments and to protect our customers.

            +

            The incumbent will act as the Technical Value Stream owner and be the central point of contact to the Business Product owners for the end-to-end implementation of enhancements on the common AML services, while continually maturing the business capabilities.

            +

            The incumbent's role involves leading a team of dedicated software engineers / developers, providing guidance, mentorship, and support to ensure their success in developing and maintaining various software applications. The incumbent establishes and maintains standard operating procedures, ensuring consistency and adherence to best practices across all operational activities.

            +

            The incumbent collaborates closely with cross-functional teams, including other IT support specialists, and project managers, to facilitate seamless integration of new applications and updates. The incumbent also liaises with external vendors and other internal partners to address any issues or concerns related to application performance, availability, and functionality.

            +

            Overall, the incumbent plays a pivotal role in ensuring the reliability, performance, and usability of critical software applications, ultimately contributing to the organization's overall success and growth.

            +

            +

            Accountabilities

            +

            Leading and Partnering

            +
            • Team Leadership: The incumbent is responsible for leading and managing the application developers & technical Bas, including hiring, training, performance management, and fostering a collaborative and high-performing team culture.
            • Relationship Management: The incumbent will act as the Technical Value Stream owner, providing an end-to-end central point of contact for all AML Technology services, including Data and Quality Testing Services, that support each of the respective Business Value Stream owners.
            • Vendor Management: The incumbent manages relationships with third-party vendors and service providers, ensuring that contractual obligations are met and that vendors deliver high-quality services and support for applications.
            • Stakeholder Communication: The incumbent communicates regularly with internal stakeholders, including IT leadership, business users, providing updates on application performance, incident resolution, and ongoing support, and project delivery activities.
            • Continuous Learning and Development: The incumbent fosters a culture of continuous learning and development within the team, encouraging skill enhancement and professional growth to keep pace with evolving technologies and industry trends.
            • +
            +

            +

            Data & Reporting

            +

            Data Custodian: The incumbent will also act as the Data Custodian for their respective Technical Value Stream accountability, and contribute to the mobilization of AML Data domain by supporting the implementation activities included in scope of the AML domain and sub-domains such as:

            +
              • Identification of data elements and registration of critical data elements
              • Identification and registration of data sources
              • Definition of data requirements including business, technical and operational metadata, creating data flows and lineage
              • Implementation of data controls to accurately reconcile data between source and target including reporting and dashboards.
            • +
            +

            The Data Custodian works closely, and coordinates with members of each Domain Working Group to comply with the Bank’s Enterprise Data Management Policy Framework.

            +

            Risk Management

            +
            • The incumbent manages the analysis, data, and follow-through on risks identified through Risk Assessments, Compliance Testing results, Internal Audits, exam findings, and management control assessments. The incumbent will be accountable to develop and monitor action plans to address the global or local technology risks identified.
            • +
            +

            +
            • Compliance and Security Standards: The incumbent ensures that application development practices comply with relevant Bank Enterprise and Security standards, implementing appropriate controls and measures to safeguard sensitive data and mitigate risks.
            • Application Management & Oversight: The incumbent is accountable to ensure that their respective portfolio of applications adheres to the established performance and availability service level agreements (SLAs), are operating efficiently & reliably, and meeting business expectations.
            • The incumbent is also accountable to establish and maintain a technology roadmap for each of their respective application domains, aligned to Enterprise Architecture Standards, while supporting the Business roadmap expectations.
            • Incident & Problem Management: The incumbent is accountable for resolving incidents and issues escalated from Level 1-2 Application Operations Services, coordinating with both internal and external stakeholders where required to ensure timely resolution and minimal disruption to business operations.
            • Process Improvement: With a focus on continuous improvement, the incumbent regularly evaluates current processes, identifies areas for optimization, and implements best practices and automation tools to increase efficiency and reduce manual effort. The incumbent leverages data-driven insights and metrics to make informed decisions that drive efficiency and effectiveness in application development.
            • Performance Monitoring: As part of ongoing project delivery, the incumbent is accountable for the implementation and/or updating of the tooling used to provide effective monitoring of performance and availability of critical applications.
            • +
            +

            +

            Delivery

            +
            • Project Delivery: The incumbent is accountable for ensuring the delivery of all AML Technology commitments and deliverables (projects, services, systems stability, and reliability) in a cost-effective manner across the supported Canadian Banking, GBM, Global Wealth and International Banking groups. The incumbent is expected to manage multiple concurrent projects of varying complexity and duration simultaneously.
            • Budget Management: The incumbent is responsible for managing inputs into the budget for application development group, including forecasting expenses, tracking spending & invoicing, and making recommendations for investments in tools, resources, and training.
            • +
            +

            +

            Education and Experience

            +

            +
            • 10 years of experience in software development,
            • At least 5 years in a leadership or managerial role.
            • Proven track record of successfully leading application development teams and delivering high-quality, scalable applications.
            • Strong understanding of software development methodologies, frameworks, and best practices, including Agile, DevOps, and CI/CD.
            • Knowledge of multiple programming languages and technologies, such as Java, Python, .NET, JavaScript, and cloud-native development desirable.
            • Experience with modern software development tools and platforms, including version control systems, IDEs, and collaboration tools.
            • Proficiency or experience in data analytics and visualization tools, such as SQL, Python, R, Tableau, or Power BI.
            • Excellent leadership, communication, and interpersonal skills, with the ability to influence and inspire teams to achieve their full potential.
            • Highly analytical with strong problem-solving abilities and attention to detail.
            • +
            +
            • Experience with cloud-based application development and deployment (e.g., AWS, Azure, Google Cloud) is a plus.
            • Bachelor's degree in computer science, engineering, or a related field; advanced degree preferred.
            • Certification or experience in software development methodologies (e.g., Agile, Scrum Master) is desirable.
            • Experience in the Financial Services industry an asset.
            • +
            +

            +

            What's in it for you?

            +
            • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
            • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
            • Remote-friendly work environment will provide you with the flexibility to perform at your best.
            • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
            • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
            • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
            • +
            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Director-Application-Development%2C-AML-Technologies-ON-M5H1B6/584095217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-03T16:36:07.613Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/344287951-director-application-development-aml-technologies-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director-Application-Development%2C-AML-Technologies-ON-M5H1B6/584095217/,draft,2024-09-30T16:30:02.956Z,import-xml-feed:Scotiabank,,,,,,, +bcd9f971-29b5-4bde-bd63-39c8fa74c8c4,344287953,Scotiabank,"Senior Financial Analyst, Global Finance Reporting",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.209Z,"

            +

            +

            +

            +

            Requisition ID: 205894

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Global Finance creates customer and shareholder value by providing financial leadership to our business partners with insightful financial analysis, and maintaining effective financial controls, through a team of highly motivated finance professionals.

            +

            +

            The Reporting department within Global Finance plays a key role in the reporting and analysis of the Bank's financial results at both the All Bank and Divisional levels.

            +

            +

            The Senior Financial Analyst will be a member of the Global Finance Reporting department reporting to a manager. The incumbent will be primarily responsible for the financial reporting and analysis of periodic and periodic results, with a focus on Global Banking & Markets (GBM). The incumbent will also be involved in the production of various periodic reports for executive management by highlighting significant trends, product and market developments and economic factors that impact performance; and will contribute to the overall success of Global Finance – Reporting department ensuring specific individual goals and initiatives are executed and delivered in support of business strategies and objectives.

            +

            +

            All activities must be conducted in compliance with governing regulations, internal policies, and procedures.

            +

            +

            Is this role right for you? In this role you will

            +

            +
            • Assist with the delivery of periodic and periodic financials (Profit & Loss and Balance Sheet) on a timely basis while ensuring data accuracy and completeness.

            • Assist with the preparation of periodic and periodic reporting on statutory and business line result for Global Banking and Markets:

              • Communicate with individuals in various business units during periodic close and on an ongoing basis to coordinate and collect financial data from business units.

              • Perform the periodic and periodic reasonability of both statutory and business line financial results by ensuring the timely identification and resolution of all material issues. Maintain and implement new controls where needed.

              • Review, analyze and prepare statutory journal entries, ensuring accuracy and completeness. All entries must be processed within strict periodic timetables as published by Global Finance Technology on a periodic basis.

            • Maintain and develop strong controls over operational and analytical processes.

            • Communicate and resolve accounting and reporting issues with business units and management.

            • Liaise closely with business line Finance partners to maintain knowledge of emerging business line issues that impact various business lines and to effectively resolve them.

            • Participate in projects as assigned, such as developing financial metrics and analytical tools, Global Finance initiatives. Identify and act upon efficiency opportunities.

            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.

            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

            • Support manager and senior manager in efforts to enhance reporting processes:

              • Assist with the annual business line rule set up and chart of account (COFA) management processes.

              • Identify issues and make recommendations with a focus on process improvement.

            • Perform other duties as assigned to support the department’s goals.

            • +
            +

            +

            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

            +

            +
            • Accounting designation Canadian CPA (CMA, CGA, CA) or MBA, with at least 2 years related work experience is required.

            • Solid business acumen and strong analytical and problem-solving skills - Ability to relate financial data to business results and identify issues and trends.

            • +
            +
            • Strong organizational, interpersonal and communication abilities to execute varied activities within tight deadlines and deliver with a great amount of accuracy and completeness whilst demonstrating excellent time management skills.

            • +
            +
            • The ability to communicate, both orally and in written form, with individuals at different levels and a variety of skill sets and organizational perspectives.

            • Good proficiency with computer applications including Microsoft Excel, e.g., VLOOKUP, SUMMIF, SUMMPRODUCT, PIVOT; Word, PowerPoint

            • +
            +

            +

            This position requires strong customer service attitude and pro-active attitude to resolve complex business issues. The position requires high level of flexibility to adapt quickly to a dynamic business environment.

            +

            +

            #scotiafinancejobs

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Financial-Analyst%2C-Global-Finance-Reporting-ON-M5V2T3/584149817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287953-senior-financial-analyst-global-finance-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Financial-Analyst%2C-Global-Finance-Reporting-ON-M5V2T3/584149817/,draft,2024-09-30T16:30:03.209Z,import-xml-feed:Scotiabank,,,,,,, +de284e1b-f68b-4059-a376-19d0f1a665c0,344287963,Scotiabank,Catalyst: Global Wealth Management Operations Rotational New Grad Program (Toronto) - Spring 2025,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:05.098Z,"

            +

            +

            +

            +

            Requisition ID: 204297

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Start Date: June 2025

            +

            Location: Toronto, Ontario

            +

            Application Deadline: 10/14/2024

            +

            +

            The Catalyst Operations Development Program is your one-stop shop for launching a supercharged and dynamic career in Operations! The world of Operations is fast-paced and ever-changing.

            +

            +

            As a Catalyst Associate, you will join as a full-time employee and will complete three rotations within different areas of Global Wealth Management Operations over the 24-month program. Upon successful completion of the program, you will transition into a permanent role where you will leverage your experience and continue to support critical bank operations.

            +

            +

            Global Wealth Management Operations (GWMO) provides support on day-to-day operational activities and strategic initiatives for Scotiabank’s Canadian wealth management businesses and Canadian and international asset management entities. As a GWMO Catalyst, you will develop your skills in data analytics, project management, and strategy work.

            +

            +

            Is this program right for you? In this program you will:

            +
            • Project management and project tracking.
            • Perform data entry, data analysis, and data reconciliation.
            • Build dashboards and presentations for management.
            • Review client opening documentation and code accounts.
            • Review and process transactions related to mutual fund trades, dividends, interest, and corporate actions.
            • Collaborate with various stakeholders across the Bank including advisor teams, trading desks, other broker/dealers, various operations departments, and management.
            • Support calculation of Net Asset Value per share daily of assigned funds.
            • Apply strategic thinking aimed at continuously improving processes.
            • Serve as a team player and support ad-hoc requests wherever needed.
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this program?

            +
            • A College diploma or Undergraduate degree completed between April 2024 and May 2025.
            • You have experience working with Microsoft Office Suite
            • It is an asset if you have experience with data visualization tools such as Power BI and Tableau
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
            • You are available to work in a hybrid work arrangement with in-office days in Toronto for the duration of the program.
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and inclusive team.
            • You’ll join your own program cohort as well as the greater community, bank-wide, across all new grad programs in TILT.
            • A dedicated Program Manager to support with your learning, goals, and development.
            • Customized workshops, executive masterclasses, leadership courses, learning curriculum and capstone projects.
            • Individualized development plans, mentorship, and exclusive access to leaders.
            • TILT Orientation Week, socials, wellness sessions, community outreach events, TILT Learning & Development Week, graduation ceremony.
            • As a member of an international cohort, you will be based in Ontario, Canada but directly connected to your Catalyst peers in Bogota, Colombia.
            • You will have exclusive access to our Catalyst Clubhouse network and alumni, potential Spanish HOLA classes for your development and so much more!
            • +
            +

            +

            How do I apply?

            +

            For students applying to one of our TILT New Graduate programs we do not require resumes! Instead, we ask that as part of your application, you complete the below:

            +

            +
            1. Apply to the role through our career site! When the application asks for your resume, instead upload a screenshot of your Plum Profile results.
            2. Complete a short one-way video interview here.
            3. +
            +

            +

            *To be considered, you must complete all steps above.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Catalyst-Global-Wealth-Management-Operations-Rotational-New-Grad-Program-%28Toronto%29-Spring-2025-ON/583291817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344287963-catalyst-global-wealth-management-operations-rotational-new-grad-program-toronto-spring-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Catalyst-Global-Wealth-Management-Operations-Rotational-New-Grad-Program-%28Toronto%29-Spring-2025-ON/583291817/,draft,2024-09-30T16:30:05.098Z,import-xml-feed:Scotiabank,,,,,,, +35e06e9e-629b-4aa4-88f7-531b9fc2d14f,344243747,Roche,Graphic Designer,on_site,"Ontario, Canada",2024-09-30T08:58:02.563Z,"
            +

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            +

            +

            +

            The Position

            +

            +

            Graphic Designer

            +

            Location: Mississauga Campus - Hybrid

            +

            Duration: 10 months-contract

            +

            +

            A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

            +

            At Roche, creativity meets innovation to deliver exceptional products that improve patient care and scientific advancement. As a part of our Graphic Design team, you will be at the forefront of crafting the visual essence of our product artwork, component designs, marketing materials, and packaging. Your artistic vision will play a pivotal role in elevating Roche\'s brand and products, ensuring that our scientific data is both impactful and visually compelling.

            +

            +

            In this dynamic role, you will collaborate with cross-functional project teams to assess and optimize the efficiency of our product imagery and presentation, being an extraordinary partner with external sources to resolve design challenges. Your expertise in industry-relevant design software will be instrumental in driving our visual communication forward.

            +

            +

            The Opportunity:

            +
              +
            • Support the Graphic Design Lead by creating purchase orders and ensuring art files are accurate and conform to standards.

            • +
            • Collaborate with partners to plan, analyze, coordinate, and implement assigned projects.

            • +
            • Meet with employees, consultants, and vendors to improve the effectiveness and quality of product visuals and presentations.

            • +
            • Offer excellent customer service through timely responses and efficient communication.

            • +
            • Maintain a filing system for version control, coordinate project timelines and handle external design-related relationships.

            • +
            • Review Brand Agency Artwork for compliance, working closely with ad agencies to ensure adherence to Roche standards.

            • +
            • Handle requirements related to the Accessibility for Ontarians with Disabilities Act (AODA) and manage the Digital Asset Library for Roche Global.

            • +
            +

            +

            Who are you

            +
              +
            • Graphic Design Diploma and 4+ years of production or post-production experience

            • +
            • Mac proficiency

            • +
            • Skills for technology and print, video, media, emerging formats and online media

            • +
            • Knowledge of current audio, video formats, digital pieces formats, resolutions, fonts and graphics

            • +
            • Excellent verbal and written communication skills

            • +
            +

            +

            Preferred

            +
              +
            • Advanced knowledge of Adobe Creative Suite (InDesign, Illustrator & Photoshop), Multimedia skills is an asset. Proficient in Google Suites and Microsoft office (knowledge of Excel formulas a big plus), and shown familiarity with all types of file formats, including video formats

            • +
            • Excellent organization and time management; possesses an ability to prioritize a large volume of work creatively & efficiently with tight deadlines

            • +
            • Precise attention to detail, superior organizational skills demonstrating a high degree of accuracy

            • +
            +

            +

            Relocation benefits are not available for this posting.

            +

            +

            Who we are

            +

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            +

            +

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            +

            +

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            +
            +

            +

            Roche is an Equal Opportunity Employer.

            +
            +
            ",,https://careers.roche.com/global/en/job/202409-123562/Graphic-Designer,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/344243747-graphic-designer-at-roche,,draft,2024-09-30T08:58:02.563Z,import-xml-feed:Selenium-Scraper,,,,,,, +21900429-6168-49c1-a231-d0626b0e67af,345360278,Loblaw Companies Ltd,"Manager, In-store Acqusition",on_site,"Ontario, Canada",2024-10-07T08:19:03.649Z,"
            +

            Referred applicants should not apply directly to this role.

            +

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            +

            +

            +

            Location:

            500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

            +

            When you hire great people, great things can happen.

            +

            PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

            +

            +

            Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

            +

            +

            Reporting to the Sr Manager, Strategic Partnerships & Sales Enablement, the Manager, In-store Acquisition this role will be instrumental in developing channel based, acquisition strategies to support the growth of the President’s Choice Financial credit card and deposit products. The successful candidate will build and maintain strong relationships with product, risk, and enterprise partners to unlock new opportunities for growth. The successful candidate will possess strategic and analytical acumen as well as strong communication skills to be able to work with internal and external stakeholders to design and build strategies

            +

            +

            What you\'ll do

            +
              +
            • Develop a comprehensive in-store sales network strategy for all products, focusing on driving growth and operational efficiency.
            • +
            • Regularly monitor performance against service levels, utilizing analytics to identify areas for improvement. Collaborate with key stakeholders to implement proactive tactics.
            • +
            • Gain a deep understanding of sales channel nuances, performance metrics, and potential opportunities. Develop customer targeting strategies that incorporate relevant offer elements.
            • +
            • Collaborate closely with the early month on-boarding team to ensure appropriate activities are in place for face-to-face acquired customers.
            • +
            • Partner with relevant teams to create effective forecasting and reporting tools across sales channels and programs.
            • +
            • Gain a thorough understanding of the business strategy and objectives of the credit card and deposit portfolios, along with key profit & loss drivers.
            • +
            • Cultivate cross-enter partnerships to increase in-store acquisition opportunities. Identify innovative ways to integrate PCF into store planning processes.
            • +
            • Drive efficiency in customer acquisition by lowering acquisition costs through strategic initiatives and optimizations.
            • +
            +
              +
            • Enhance the acquisition experience for customers by continuously recommending improvement
            • +
            • Work closely with the Sales Operations team to ensure that operational risk and compliance metrics are incorporated into strategies aimed at driving quality acquisition
            • +
            +

            +

            What you bring

            +
              +
            • Bachelor’s Degree in Business or Finance or equivalent work experience;
            • +
            • 3-5+ years of professional experience, strong preference to candidates within the banking, payments, credit cards, or financial services business.
            • +
            • Strong quantitative, analytical and conceptual problem-solving skills combined with outstanding business acumen.
            • +
            • Results oriented. Demonstrated ability to be part of multiple projects/initiatives of varying size and complexity, while prioritizing and balancing multiple tasks within a fast-paced work environment.
            • +
            • Exceptional verbal and written communication skills with creative ability to conceptualize and articulate new approaches and solutions.
            • +
            • Strong interpersonal skills, ability work cross functionally within the organization and to build relationships internally and externally.
            • +
            • Experience in development, implementation, and performance attribution of customer centric strategy & tactics.
            • +
            +

            +

            +

            Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

            +

            +

            +

            Number of Openings:

            1

            +

            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

            +

            +

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            +

            +

            +

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            +

            +

            +

            +

            +

            +

            +
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Manager--Sales-Insights_R2000479547?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-10-17T08:24:01.512Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/345360278-manager-in-store-acqusition-at-loblaw-companies-ltd,,draft,2024-10-07T08:19:03.649Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +14fd09aa-14a9-45f3-a51a-5c69371506ba,345361478,Roche,AI and Digital Pathology Intern,on_site,"Ontario, Canada",2024-10-07T08:58:02.132Z,"
            +

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            +

            +

            +

            The Position

            +

            We are seeking a dedicated and motivated intern to join our Integrated Informatics team, focusing on Digital Pathology projects. This exciting role involves collaboration with our early research organization to evaluate secure research cloud solutions, aiming to revolutionize healthcare through technological innovation.

            +

            +

            The Opportunity:

            +
              +
            • Collaborate with teams in informatics and early research organizations to evaluate and implement secure research cloud solutions.

            • +
            • Evaluate cloud-based software solutions specifically tailored for Digital Pathology.

            • +
            • Analyze and interpret histopathological specimen data using sophisticated computational techniques.

            • +
            • Integrate deep learning models into biomedical image analysis and pathology workflows.

            • +
            • Use high-performance computing environments to process and run large datasets.

            • +
            • Contribute to the improvement of machine learning models and the development and optimization of algorithms for Digital Pathology applications.

            • +
            +

            +

            Who you are:

            +
              +
            • Current pursuing M.Sc. or PhD candidate in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

            • +
            • Strong foundation in Machine Learning, Computational Biology, Computer Science, Software Engineering, Bioinformatics, Data Science, or a related field.

            • +
            • Excellent programming skills in Python 3.x and Bash, with deep understanding of Linear Algebra and Numpy.

            • +
            • Experience in Microscopy, Digital Pathology, Histopathological specimen preparation, or Biomedical Image analysis.

            • +
            • Previous experience in Deep Learning and Computer Vision, with familiarity in High Performance Computing (HPC) environments and modern Deep Learning frameworks like PyTorch and TensorFlow 2.x.

            • +
            • Strong problem-solving skills, with the ability to work independently and collaboratively within a team.

            • +
            +

            +

            Additional Information:

            +

            Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

            +

            Hours: full-time (35 hours per week)

            +

            Length: This position is a minimum 6-month work term (full-time).

            +

            +

            This position is not eligible for relocation support.

            +

            +

            Who we are

            +

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            +

            +

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            +

            +

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            +
            +

            +

            Roche is an Equal Opportunity Employer.

            +
            +
            ",,https://careers.roche.com/global/en/job/202409-123479/AI-and-Digital-Pathology-Intern,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/345361478-ai-and-digital-pathology-intern-at-roche,,draft,2024-10-07T08:58:02.132Z,import-xml-feed:Selenium-Scraper,,,,,,, +08a984fe-1ee5-4826-a616-9561e3ab2164,344945666,BMO Financial Group,"Senior Analyst, Counterparty Credit Risk - (Trading Systems / Python programming / Financial Products)",on_site,"Ontario, Canada",2024-10-04T08:18:01.849Z,"
            +

            Application Deadline:

            10/27/2024

            +

            +

            Address:

            250 Yonge Street

            +

            +

            Job Family Group:

            Data Analytics & Reporting

            +

            +

            +

            +

            Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

            +
              +
            • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.

            • +
            • Monitors risk in strategies and portfolios alongside project managers or functional leads.

            • +
            • Participate in the different testing cycles of the Counterparty Credit Risk systems releases with high level guidance and instructions.

            • +
            • Investigate into system issues identified by either LoB or other members of the team, provide the root cause analysis and provide potential solutions with assistance and guidance.

            • +
            • Participate in the new business activities including drafting the requirements and conduct SIT/UAT with guidance.

            • +
            • Maintaining and improving the business specification based on changes required.

            • +
            • Provide assistance in ad-hoc projects/requests within the group.

            • +
            • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.

            • +
            • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.

            • +
            • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.

            • +
            • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

            • +
            • Conducts quantitative research in risks across strategies and portfolios.

            • +
            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

            • +
            • Exercises judgment to identify, diagnose, and solve problems within given rules.

            • +
            • Works independently on a range of complex tasks, which may include unique situations.

            • +
            • Broader work or accountabilities may be assigned as needed.

            • +
            +

            +

            Qualifications:

            +

            Foundational level of proficiency:

            +
              +
            • Regulatory capital and stress testing.

            • +
            • Requires Fundamental knowledge of financial product including OTC Derivatives and Security Financial Transactions.

            • +
            • Requires excellent programming skills including Python platform.

            • +
            • Compliance and regulation.

            • +
            • Machine learning.

            • +
            • Learning Agility.

            • +
            • Systems Thinking.

            • +
            • Model risk management.

            • +
            • Data visualization.

            • +
            • Data wrangling.

            • +
            • Data preprocessing.

            • +
            • Critical thinking.

            • +
            • Driving Results.

            • +
            +

            Intermediate level of proficiency:

            +
              +
            • Quantitative financial modeling.

            • +
            • Computational thinking and programming.

            • +
            • Verbal & written communication skills.

            • +
            • Collaboration & team skills.

            • +
            • Analytical and problem solving skills.

            • +
            • Data driven decision making.

            • +
            • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

            • +
            • Technical proficiency gained through education and/or business experience.

            • +
            +
            +

            +

            Salary:

            +
            $65,400.00 - $121,800.00

            +

            Pay Type:

            Salaried

            +

            The above represents BMO Financial Group’s pay range and type.

            +

            +

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            +

            +

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            +

            +

            +

            We’re here to help

            +

            +

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            +

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            +

            To find out more visit us at https://jobs.bmo.com/ca/en.

            +

            +

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            +

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Counterparty-Credit-Risk----Trading-Systems---Python-programming---Financial-Products-_R240021575?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-07T08:23:01.744Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/344945666-senior-analyst-counterparty-credit-risk-trading-systems-python-programming-financial-products-at-bmo-financial-group,,draft,2024-10-04T08:18:01.849Z,import-xml-feed:BMO-Job-Feed,,,,,,, 137f08b7-21eb-4971-a879-a15d59d62de1,344839844,Scotiabank,Service Support Officer Wealth Management Intern/Co-op Winter 2025 Eastern Canada,on_site,Canada : Ontario : Ottawa || Canada : Nova Scotia : Halifax || Canada : Quebec : Montreal,2024-10-03T16:31:05.257Z,"

            @@ -23785,264 +26137,44 @@ b0e13636-2319-437c-9f6e-1d17e0436a1c,344839850,Scotiabank,Commercial Banking Ana

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

            ",,https://jobs.scotiabank.com/job/Toronto-GBM-GCM-Banking-InternshipCo-op-Winter-2025-ON/584244117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/344839852-gbm-gcm-banking-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-GCM-Banking-InternshipCo-op-Winter-2025-ON/584244117/,draft,2024-10-03T16:31:06.510Z,import-xml-feed:Scotiabank,,,,,,, -9fdc3c50-a305-4075-852c-99fec301efb1,343706874,KPMG,"Senior Consultant, Banking Technology",on_site,"Toronto, Canada",2024-09-26T16:34:02.682Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            Are you a talented individual with a proven track record on executing project deliverables.

            A Senior Consultant position is currently open in the Toronto office to support banking clients. The ideal candidate is a professional with a proven track record of working in a team and delivering exceptional client service. The role involves delivering banking solutions on client facing and on site engagements where required.

            KPMG's Banking technology practice offers advice and solution delivery to clients on Core Banking, Payments and Data challenges, with the goal of enhancing the value that these solutions bring to their organization. The team collaborates with client leadership and delivery teams to navigate various technological and implementation challenges. They assist with transformation opportunities and deliver complex banking, payments and data solutions to both the client's business and IT departments. The projects undertaken include strategy development, governance review, process assessment, enterprise architecture, solution selection, design, delivery, testing, deployment, and program management.


            What you will do

            As a Senior Consultant in our Banking technology practice, you will use your strong technology delivery acumen and be a key member of a high performing team. You’ll be learning from some of the best in the financial services industry and growing your personal skillset by:

              -
            • You will be at the forefront of our banking, payment or data solutions ecosystem, leveraging your expertise to assess, capture, and translate intricate business issues into well-structured banking, payment or data solutions. Your proficiency in both operational and technical domains will enable you to develop comprehensive work stream plans that drive impactful change
            • -
            • As a valued team member, you will take ownership of defining, and successfully delivering complex projects
            • -
            • Designing, building, launching, optimizing, and expanding full-stack banking, payment or data solutions that precisely align with business requirements
            • -
            • Working with a diverse group of stakeholders
            • -
            • Participate in non-functional requirement gathering workshops, you will gain a deep understanding of our clients' business needs. This insight will empower you to tailor functional and technical solutions and product demonstrations that resonate with various stakeholders.
            • -
            • Performance modelling, performance and resiliency scripting and testing to ensure the solution meets client requirements
            • -
            • In the pre-sales process, you will support in preparing compelling marketing materials such as presentations and demos to address potential customers' business requirements. Your expertise in showcasing the value of our solutions will drive new business opportunities
            • -

            What you bring to the role

              -
            • Bachelor’s degree in IT, Computer Science, Business Administration, Commerce, or related field – graduate degree is an asset
            • -
            • 3+ years of experience in consulting in banking solutions
            • -
            • Experience in implementing a Core Banking, Payments and/or Data solution in an ecosystem
            • -
            • Comfortable to work with clients and superior communication skills
            • -
            • Experience across the project lifecycle of planning, design, build, test and deployment
            • -
            • Strong analytical and problem-solving skills with the ability to identify and define problems and develop creative solutions to address client requirements clearly and articulately
            • -
            • Proficient in Microsoft Excel and PowerPoint
            • -
            • Ability to work independently once provided with direction but have an affinity for teamwork and relationship building
            • -
            • Individuals who take deep personal accountability for their work, have a passion for excellence, driven to achieve their full potential and understand the value of building relationships with clients, future clients, their communities, the global firm and each other
            • -

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/23969?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-07T16:40:03.322Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/343706874-senior-consultant-banking-technology-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23969?lang=en-us,draft,2024-09-26T16:34:02.682Z,import-xml-feed:KPMG-Job-Feed,,,,,,, -7f51c7db-aefa-4b5d-8eaa-c3199454df97,331195764,CIBC,Digital UX Content Writer,on_site,"Ontario, Canada",2024-06-27T11:08:02.075Z,"
            -

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            -
            -

            Digital UX Content Writer, Digital Innovation

            -

            -

            We’re on a mission to build a relationship-focused bank for the modern world, and we’re looking for passionate collaborators, innovators, advisors, and leaders who can get us there. Our distinct culture is built on a shared commitment to do what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Because life at CIBC is not only what you do, but how you do it.

            -

            -

            -

            What You’ll Be Doing

            -

            -

            CIBC’s Digital Innovation team is looking for a Digital UX Content Writer who will help with the development of streamlined, engaging content that adheres to CIBC’s unique Tone of Voice and brand guidelines, which will help our clients make their ambition a reality. As part of a broader Digital Strategy & Innovation team within Digital Strategy, Advice and Open Banking, you’ll have the opportunity to support the development and execution of CIBC’s Digital roadmap.  Reporting to the Senior UX & Design Strategy Lead of Digital Innovation, you will be a part of the creation of digital experiences and user-centric solutions for some of CIBC’s toughest business problems from the very start.

            -

            -

            Note: A digital writing portfolio or writing samples are required to apply for this position. We want to see examples with a UX focus, including problems you helped solve with content solutions/strategy, your specific contributions, and impact to users/results of your solution.

            -

            -

            At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

            -

            -

            How you’ll succeed:

            -
            • Content Writing - Writing content for our sprint teams including app and online interface copy, navigational terminology, microcopy, emails, and promo video scripts (for prototype demo video walkthroughs). This work includes user journeys, wireframing (alongside design), content strategy, ensuring content consistency (both quality of content and repeated phrases across CIBC content) and more.

            -
            • Content Strategy - Developing strategies, standards, guidelines, and processes for the optimization and maintenance of content. Content strategy will always be developed by balancing user and business needs.

            -
            • User Research (UXR) Implementation and Iteration Using research to shape user experiences with meaningful content. This work includes rounds of drafting, being involved in UXR studies through observation and feedback, communicating updates to the working team, and accepting and implementing feedback throughout the entire sprint. All content outputs from this team are informed by UXR and analytics. A successful candidate will be able to manage these inputs and collaborate with these teams to ensure the best content possible.

            -
            • CollaboratingYou will be working in a cross-functional team of UX designers, UX researchers, strategists, developers, and product ownersto create the best possible digital experience for our users. This includes pitching research plans, consulting with digital strategy, and more.

            -
            • CommunicatingYou must provide rationale for your copy decisionsto the working team, and be able to pivot on your strategy based on feedback (both from UXR and working team). A successful candidate will be comfortable with regularly presenting work to senior leadership and internal stakeholders

            +108683f1-f1d4-4637-aca4-2d54d1ab2988,344839959,Magna International,Data Scientist Student,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-10-03T16:41:03.129Z,"
            +
            +

            About the Role

            +

            As a Data Scientist Intern, you will play a key role in supporting our Industry 4.0 and Artificial Intelligence (AI) initiatives specifically focused on optimizing our manufacturing processes for exterior trim parts. You will collaborate with cross-functional teams to collect, analyze, and interpret large datasets to provide insights and solutions that enhance our manufacturing operations, including co-extrusion, assembly, and molding.

            +
            +
            +

            Your Responsibilities

            +
            1. Work with the Data Science, Artificial Intelligence and Information Technology teams to work on and accomplish goals set out by the facility.
            2. Develop and implement data-driven models and algorithms that leverage machine learning and AI techniques to improve operational efficiency, quality, and productivity in co-extrusion, assembly, and molding.
            3. Employ statistical analysis and predictive modeling techniques to identify trends, patterns, and areas for process improvement.
            4. Clean, preprocess, and validate large datasets related to co-extrusion, assembly, and molding to ensure accuracy and reliability.
            5. Conduct supervised experiments, A/B testing, and perform statistical analysis to measure the impact of proposed solutions on manufacturing operations.
            6. +Communicate findings and results in a clear and concise manner to stakeholders, including management, engineers, and manufacturing teams. Collaborate with Data Scientists, Software Developers and Engineers to integrate data-driven solutions into production systems and optimize the manufacturing processes. +
            7. +
            +
            +

            Who we are looking for

            +
            • Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
            • Proficient in programming languages such as Python, R, or SQL, with a solid understanding of data structures and algorithms.
            • Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
            • Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
            • Working with data tools and protocols such as Kepware, MQTT and Mosquito
            • +
            +
            +
            +

            Your preferred qualifications

            -

            -

            Who You Are

            -
            • You have a degree/diploma in English, Journalism, or Communications (or related field of study)

            -
            • You want to be an owner. Leadership, going above and beyond, and delivering results are right up your alley. You’re ready to champion the content team and give words the hype they deserve. To do this, you’re not afraid to build trust through respect and authenticity, find meaning in new relationships, and surrounding yourself with a diverse network of partners. You use this network to gain the information you need to support your craft and your projects.

            -
            • You have expertise in writing ux copy that’s clear, concise, and focuses on the user by utilizing a data-informed approach. You have worked with extensive and detailed brand guidelines, content decks, tone of voice guides, and content strategy plans. This also includes a strong understanding of grammar, style, tone of voice, tonal modulation, syntax, and best practices for content in the digital space.

            -
            • You have excellent time management and organizational skills that allow you to complete content on tight deadlines with minimal oversight. Content submitted to the Sr UX Content Writer & Strategist should always be in a final content state. A successful candidate is flexible in their work approach and can visit and revisit a project at different stages or whenever work is required, as directed by the Sr UX Content Writer and working team.

            -
            • You’re eager to learn and grow. You’ll have the opportunity to learn from our Sr UX Content Writer and Strategist, Digital Strategists, and Product Designers to develop as a content writer. You understand that feedback is an integral part of the content writing process and you’re willing to both give and receive feedback.

            -

            +

            Accommodations for disabilities in relation to the job selection process are available upon request.

            +

            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

            -

            -

            What CIBC Offers

            -

            -

            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            -
              -
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

            • -
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

            • -
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

            • -
            -

            -

            *Subject to plan and program terms and conditions

            -

            -

            What you need to know

            -
              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • -
            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

            • -
            -

            -

            -

            -

            -

            -

            Job Location

            Toronto-81 Bay, 18th Floor

            -

            Employment Type

            Regular

            -

            Weekly Hours

            37.5

            -

            Skills

            Communication, Content Strategy, Copywriting, Digital Content, Figma, Financial Writing, French as a Second Language, Group Problem Solving, Marketing Writing, Mobile Accessibility, Multidisciplinary Teamwork, Presenting to Groups, Receptive to Feedback, Stakeholder Management, Teamwork, User Experience (UX), UX Writing, Web Accessibility, Web Content Accessibility Guidelines (WCAG), Web Copywriting
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Digital-UX-Content-Writer_2413322-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-07-01T07:21:03.030Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331195764-digital-ux-content-writer-at-cibc,,draft,2024-06-27T11:08:02.075Z,import-xml-feed:CIBC-Job-Feed,,,,,,, -f46792b7-9241-4f71-8f04-d7a9291cfc15,331196410,Roche,Strategic Accounts Partner,on_site,"Ontario, Canada",2024-06-27T11:39:05.292Z,"
            -

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            -

            -

            -

            The Position

            -

            -

            A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

            -
              -
            • A unique role to manage our distributors and key accounts

            • -
            • Experience and expertise in Pharma-distribution management preferred

            • -
            • Provides strategic partnering and enables sustainable patient access solutions

            • -
            -

            -

            The Strategic Accounts Partner (SAP) plays a key part in building a high performing affiliate network with long-term sustainability, who are externally focused and being an agile organization. This role drives the identification, creation, and management of key-account/business relationships with partners to identify triple win opportunities.

            -

            -

            As a Strategic Accounts Partner (SAP) you will ensure that our initiatives drive a triple win (for the patients, to the society and for Roche) for the accounts you are responsible for by co-creating and executing on Outcomes and KVIs. Responsibilities include pricing, contracting, negotiation, contract renewals and ongoing contract management, and identifying and following-through on opportunities for company products in coordination with key stakeholders

            -

            -

            Key Responsibilities include but are not limited to:

            -
              -
            • Develop and manage national/local key customer accounts for the affiliate, such as public and private payers, distributors, etc

            • -
            • Optimize insights and engagement with bids committees, wholesalers, distributors, retailers and other customer accounts relevant to company products and priorities

            • -
            • In coordination with Finance and Supply Chain, launch teams and other internal stakeholders, manages pipelining, oversees and provides insight on inventory for key accounts

            • -
            • Develop and maintain partnership with internal and external business partners, influencers and stakeholders across functions towards improved access to products for patients and a better business environment

            • -
            • Drive business development opportunities to optimize access to products, company revenue and market share, customer satisfaction, and other relevant goals.

            • -
            • As a part of network planning, strategy implementation and to ensure best customer experience, visit customers to gather up to date knowledge of the customer situation, learning about the challenges and opportunities and lead problem solving for customer’s issues raised

            • -
            • Identify, qualify and action “simple sales” opportunities for assigned accounts

            • -
            • Maintain all records and documentation as required and associated with professional account management and to Roche quality standards and expectations

            • -
            -

            -

            Who You Are:

            -

            You are someone who is motivated by target achievements and able to link between performance and value. With a customer centric mindset and excellent stakeholder engagement skills, you are able to Focus on win-win engagements with peers, departments, third parties, and customers and build valuable relationships with external stakeholders for long-term success.

            -

            -

            You have:

            -
              -
            • A Bachelor’s degree in Marketing, Business, or related field

            • -
            • Demonstrated experience in marketing with a track record of measurable success

            • -
            • Proficient in using data analytics tools and understanding marketing metrics

            • -
            • Strong communication skills, both written and verbal

            • -
            • Ability to work in a fast-paced environment and handle multiple projects

            • -
            -

            -

            This field-based role is exclusively available to candidates who possess full eligibility to live and work in the Philippines.

            -

            -

            We do not accept any unsolicited resumes or enquiries from recruitment agencies. Roche has a dedicated in-house Talent Acquisition team.

            -

            -

            -

            Who we are

            -

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            -

            -

            Roche is an Equal Opportunity Employer.

            -
            ",,https://careers.roche.com/global/en/job/202405-112484/Strategic-Accounts-Partner,feed-importer@jobboard.io,,,,2024-07-01T07:54:05.230Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331196410-strategic-accounts-partner-at-roche,,draft,2024-06-27T11:39:05.292Z,import-xml-feed:Selenium-Scraper,,,,,,, -65040048-c2b7-4f13-b37e-d9aafe04a25b,331196412,Roche,Principal Software Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:05.418Z,"
            -

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            -

            -

            -

            The Position

            -

            The position:

            -

            -

            The Platform team is building the foundation on which a myriad of healthcare and research software applications can be delivered to patients, from the cloud to the lab. The Platform Engineering team is responsible for platform services including the development, testing, deployment and operation of software. In addition, the function will manage the platform onboarding and developer experience.

            -

            -

            The Principal Software Engineer is a key member of a team of 10+ engineers and will apply knowledge of design principles, practices in the implementation of complex, enterprise-scale software systems.

            -

            -

            Your Key Responsibilities:

            -
              -
            • Software Development: This is a hands-on software development position to write high-quality software that will perform at scale, be supportable, and be extensible.

            • -
            • Process & Operations: Ensuring the software stack integrates with our existing CI pipeline and contribute to continuous improvement; independently design, plan and deliver high-quality software

            • -
            • Leadership: Ensuring a culture that values technical excellence together with support and compassion for individuals. Leading architecture and design discussions to come up with the most effective technical solution and having the ability to influence within and outside the team

            • -
            -

            -

            Who you are:

            -
              -
            • You hold a BS/MS degree in Computer Science or directly related discipline

            • -
            • You have 10+ years of hands-on industry experience as a software engineer

            • -
            • You have successfully built, deployed, and supported an enterprise-scale web application in the cloud (AWS preferred); ideally with full-stack experience, with expertise in at least one layer

            • -
            • You have hands-on software development experience in either Java or C++/C# with expertise in at least one. And with JavaScript with a modern MVC framework (e.g. Angular, React, etc.)

            • -
            • You are a quick learner with the ability to understand complex workflows and develop and validate innovative solutions to solve difficult problems

            • -
            -

            -

            Nice to Have

            -
              -
            • Spring Framework experience

            • -
            • Familiarity with healthcare data and workflows is a plus (e.g. HL7, IHE)

            • -
            -

            -

            What do we offer?

            -

            -

            We offer competitive compensation and excellent social benefits like flexible work schedule and home office policies, medical insurance, pension plan, allowances for marriage and birth, training related to your career development, gym, meal allowance, flexible remuneration scheme with its fiscal advantages and other benefits

            -

            -

            https://youtu.be/Jtm7g7fBnlQ

            -

            -

            Who we are

            -

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            -

            -

            Roche is an Equal Opportunity Employer.

            -
            ",,https://careers.roche.com/global/en/job/202311-126215/Principal-Software-Engineer,feed-importer@jobboard.io,,,,2024-07-01T07:54:05.230Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/331196412-principal-software-engineer-at-roche,,draft,2024-06-27T11:39:05.418Z,import-xml-feed:Selenium-Scraper,,,,,,, -6dc60a5e-5ebf-43f3-9af5-2d726ff14343,331195816,Thomson Reuters,"Manager, Legal Operations",on_site,"Ontario, Canada",2024-06-27T11:16:02.135Z,"
            JOB DESCRIPTION
            -

            Manager, Legal Operations

            -

            -

            Role Summary:

            -

            We are seeking an inspired, business-minded leader with exceptional written and oral communication, interpersonal, and collaboration skills, who can influence and express ideas effectively in individual and group situations. The Manager, Legal Operations will manage key processes that are critical to the global operations of the Thomson Reuters General Counsel’s Office, which has a staff of approximately 80 legal professionals around the world. The role will lead the Legal Operations function which includes a small staff of Legal Operations professionals. This role reports directly to Deputy General Counsel, Corporate & Securities.

            -

            -

            The role will bring the leadership, knowledge, and expertise necessary to drive peak operational General Counsel’s Office performance. The successful candidate will have an ability to develop strong relationships with internal stakeholders and core competencies in implementing policies, processes, and technologies to increase value to the company while driving efficiency and effectiveness. This role requires an individual with strong project management and team development skills.

            -

            The successful candidate will partner with internal stakeholders across the Thomson Reuters General Counsel’s Office and with other enabling functions and businesses in a diverse number of areas, including:

            -

            -

            About the Role

            -

            Major responsibilities & accountabilities in this role as Manager, Legal Operations will be:

            -
              -
            • -Strategic Planning – Help the department set its annual & long-term goals to enable growth in alignment with our corporate strategy. Track to and report on these objectives.
            • -
            • -Technology and Process – Evolve our technology and innovation roadmap, and develop or enhance maturity in all key areas - eBilling, workflow and document automation, self-service, knowledge management, document management, matter management, eSignature, generative AI tools etc. Examine existing processes and capture opportunities to make things simpler and automated. Ability to develop change management strategies to train, encourage, and support the staff to evolve our ways of working.
            • -
            • -Outside Counsel and Legal Vendor Management – Partner with procurement, accounts payable and members of the General Counsel’s Office to ensure value with our vendors, monitor forecasts vs. actuals, support process definition and training and all other aspects of vendor and outside counsel management, including reporting on all of these. Help to optimize processes to engage outside counsel and manage outside counsel spend.
            • -
            • -Financial Planning and Analysis – Development and management of the General Counsel’s Office annual operating plan, to include forecasting and accruals. Participate in strategic planning process to determine future headcount and spend by practice and geography. Works closely with Finance and HR as key stakeholders and partners.
            • -
            • -Data & Analytics – Develop maturity in all areas of our use of data and analytics, especially within our Commercial practice group. Develop and refine dashboards for use by Chief Legal Officer and GCO Leadership Team.
            • -
            • -Talent Management and Professional Development - Together with HR and Leadership team, support hiring and onboarding initiatives, performance evaluation cadence, etc.
            • -
            -

            -

            About You
            You\'re a fit for the role of Manager, Legal Operations, if your background includes:

            -
              -
            • Minimum of five years of recent and relevant experience as a business/operations manager. Experience in a law firm or corporate legal department preferred. This includes:
                -
              • Managing the technology and the change management strategies that enable our corporate legal department to be more efficient (using the tools mentioned above)
              • -
              • Managing financial and budget processes in large corporate environment, including monthly and quarterly close procedures, quarterly forecasts and accruals, etc.
              • -
              • Managing outside counsel billing processes and eBilling
              • -
              -
            • -
            • Deep experience with change management and agility practices
            • -
            • Bias toward speed and execution; must be able to keep pace with the exceptionally wide variety of operational tasks in this exciting role
            • -
            • Ability to influence and leverage relationships within and outside the General Counsel’s Office
            • -
            • Results-oriented with a strong ability to execute on required deliverables and drive results; superior project management and organizational skills; ability to work with a high degree of independence and autonomy
            • -
            • Strong commercial and financial acumen
            • -
            • Executive presence, sound judgment, and discretion required
            • -
            -

            Education

            -
              -
            • Bachelor’s degree required; JD not required.
            • -
            • Project management, change management and/or agility certifications are a plus.
            • -
            -

            -

            #LI-DS4

            -

            -

            What\'s in it For You?
            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            -
              -
            • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

            • -
            • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

            • -
            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

            • -
            • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

            • -
            • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

            • -
            • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

            • -
            -

            -

            -

            -

            -

            -


            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            -

            -

            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            -

            Accessibility

            -

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            -

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            -

            -

            -

            Protect yourself from fraudulent job postings click here to know more.

            -

            -

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            -
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ179801/Manager-Legal-Operations?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-07-25T07:47:02.926Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/331195816-manager-legal-operations-at-thomson-reuters,,draft,2024-06-27T11:16:02.135Z,import-xml-feed:Thomson-Reuters-Job,,,,,,, +
            +
            +

            What we offer

            +

            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

            +
            +
            +

            Site Benefits

            +
            • Corporate Plans for Roger's Cellphone Data Plans

            • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

            • +
            +
            +
            +

            Awareness. Unity. Empowerment.

            +

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            +
            +
            ",,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-07T16:46:02.276Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/344839959-data-scientist-student-at-magna-international,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/,draft,2024-10-03T16:41:03.129Z,import-xml-feed:Scrapy-Scraper,,,,,,, 583954b0-3f59-4552-b1a9-e9cd6f98714c,331195836,Google,Senior Account Manager,on_site,"Toronto, ON, Canada",2024-06-27T11:19:02.475Z,"

            Senior Account Manager

            @@ -25014,6 +27146,144 @@ e33e8184-e041-4cf0-89dc-6fba0bccb650,347118872,KPMG,Senior Consultant - Technolo

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Liquidity-Stress-Testing-ON-M5H-0B4/585610117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T16:31:03.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347118820-director-liquidity-stress-testing-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Liquidity-Stress-Testing-ON-M5H-0B4/585610117/,draft,2024-10-21T16:31:03.521Z,import-xml-feed:Scotiabank,,,,,,, +ec242167-6163-4ff9-887c-caf68f91d4a6,347103005,Roche,Delivery Service Manager - Quality and Compliance IT,on_site,"Ontario, Canada",2024-10-21T08:58:03.565Z,"
            +

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            +

            +

            +

            The Position

            +

            +

            And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

            +

            +

            +

            +

            The Opportunity:

            +

            +

            As Delivery Service Manager you are accountable for the operational setup, delivery, governance and continuous improvement of services associated with one or more products (technology solutions) to the business. These services enable our business to make and deliver quality pharmaceutical products.

            +

            +
              +
            • Understand and owns every aspect of the service delivery, governance and performance

            • +
            • Face to the business for operational services and the initial single point of contact and escalation for operational service issues

            • +
            • Responsible for driving continuous improvements to facilitate \'good enough\' team output and elevating overall service experience

            • +
            • In collaboration with Product Managers and Chapter colleagues, ensure releases and changes are delivered in a controlled and agile manner

            • +
            • Lead the operations of services and products to achieve fit for purpose service levels in productivity, quality, output, and cost

            • +
            • Support audits and audit readiness

            • +
            • Ensure operational processes are designed, updated and socialized with audits and compliance in mind

            • +
            • As needed play different roles related to Delivery Management capabilities

            • +
            +

            +

            +

            +

            +

            Who you are:

            +

            +
              +
            • 5-7 years of relevant experience as Delivery Service Manager providing mission-critical services in a global organization with a Bachelor\'s degree in computer science, information systems or a related study (or equivalent project-related experience)

            • +
            • Expert in the discipline of IT Service Management, preferably certified in ITIL V3/V4

            • +
            • Experience in Computer Systems Validation (CSV).

            • +
            • Support Audit readiness at the site and awareness of regulations like HIPAA, GDPR, FDA CFR Part 11 will be an asset

            • +
            • Experience in supporting global initiatives, programs and projects and stong stakeholder management and communication skillsHas experience of pharmaceutical industry, Quality and Compliance

            • +
            • Experience working as a System Owner skills that keeps systems aligned with Business needs and regulatory requirements

            • +
            • Experience of DevOps and emerging technologies

            • +
            • Knowledge of the Agile methodologies, Scaled Agile Framework (SAFe)

            • +
            +

            +

            +

            +

            +

            Relocation benefits are not available for this job posting.

            +

            +

            Who we are

            +

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            +

            +

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            +

            +

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            +
            +

            +

            Roche is an Equal Opportunity Employer.

            +
            +
            ",,https://careers.roche.com/global/en/job/202410-125887/Delivery-Service-Manager-Quality-and-Compliance-IT,feed-importer@jobboard.io,,,,2024-10-24T09:03:03.476Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103005-delivery-service-manager-quality-and-compliance-it-at-roche,,draft,2024-10-21T08:58:03.565Z,import-xml-feed:Selenium-Scraper,,,,,,, +477b78e7-e1a8-49d7-992e-fac90762d383,347468615,RBC,"Lead Data Engineer, GFT",on_site,"Toronto, ON, Canada",2024-10-24T08:20:03.341Z,"
            +

            Job Summary

            +

            +

            +

            Job Description

            +

            +

            What is the opportunity?

            +

            +

            Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications? Come join us!

            +

            +

            Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

            +

            +

            We believe that innovation should drive all that we do, in challenging assumptions and being big and bold with our ideas. We support our people in developing the technical, business and professional skills needed to be successful. You will work with partners from across the company, participate in networking events, and have access to a wide variety of supports including mentorship. You will work directly with leaders who believe in celebrating successes and sharing learnings with other teams to promote progress.

            +

            +

            The HR Technology team is responsible for optimizing and modernizing the systems and tools that support HR functions. These functions include recruitment, learning, performance, operations and talent data management. In HR Tech, we aim to improve the overall employee experience, enhancing efficiency and effectiveness, using modern and emerging technologies.

            +

            +

            What will you do?

            +

            +
              +
            • Work closely with stakeholders to build new features and maintain existing functionalities for various HR technology products

            • +
            • Design and develop applications utilizing GenAI, contributing to the co-creation of Proof of Concepts and Minimum Viable Products using Foundational models, demonstrating the business value of AI solutions

            • +
            • Manage project deliverables and timelines; communicate directly with stakeholders to maintain expectations.

            • +
            • Demonstrate software development best practices for high quality delivery. This includes code review and technical documentation, unit test coverage, vulnerability analysis, and etc.

            • +
            • Identify area of improvement in existing processes and leverage technology (including introducing new tools utilizing GenAI) to improve efficiency and drive rapid delivery

            • +
            • Work closely with the Development team, analyzing data, designing and implementing ETL/ELT functionality to transform data for different applications purposes

            • +
            +

            +

            What do you need to succeed?

            +

            +

            Must-have

            +
              +
            • Experience with GenAI development and tools

            • +
            • 5+ years of experience with Python, SQL

            • +
            • Experience managing a team of developers

            • +
            • Experience with Agile development, DevOps , CD/CI tools- Jenkins, GitHub, Ansible, Airflow, application monitoring tools

            • +
            • Experience working with databases such as Snowflake, Databricks, PostgreSQL, etc

            • +
            • Experience with building Cloud-ready microservices and containerizing applications

            • +
            • Public and Private cloud knowledge, skills, and experiences (Azure, AWS, OpenShift, Dockers, Kubernetes)

            • +
            +

            +

            Nice-to-have

            +
              +
            • Experience with Microsoft Cognitive Services, LangChain, Stonebranch, GPT, OpenAI, deep learning libraries (TensorFlow, PyTorch, Keras)

            • +
            • Experience designing front-end solutions with Next.js, React

            • +
            • Experience with HR systems & workflow management tools such as Workday, SAP, ServiceNow

            • +
            • Proficient in programming languages like Java

            • +
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

            • +
            • Leaders who support your development through coaching and managing opportunities

            • +
            • Ability to make a difference and lasting impact

            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team

            • +
            • A world-class training program in financial services

            • +
            • Flexible work/life balance options

            • +
            • Opportunities to do challenging work

            • +
            +

            +

            #LI-Hybrid
            #Ll-POST
            #TECHPJ

            +

            +

            +

            Job Skills

            Application Development, Application Integrations, Application Maintenance, Applications Architecture, Artificial Intelligence (AI), Automation Technology, Azure Active Directory (AD), Cloud Applications, Cloud Computing, Cognitive Computing, Data Tools, Data Warehousing (DW), Detail-Oriented, Enterprise Application Delivery, Generative AI, Group Problem Solving, Machine Learning, Microsoft Azure, Microsoft Azure Cognitive Services, Programming Languages, Software Development Life Cycle (SDLC), System Applications

            +

            +

            +

            Additional Job Details

            +

            Address:

            20 KING ST W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-06-13

            Application Deadline:

            2024-11-29

            +

            +

            +

            +

            +
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            +

            +

            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000090403/Lead-Data-Engineer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-23T08:20:03.352Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347468615-lead-data-engineer-gft-at-rbc,,draft,2024-10-24T08:20:03.341Z,import-xml-feed:RBC-Job-Feed,,,,,,, d510556f-1641-4d5d-86f0-1adcb61a667d,344787649,NVIDIA,Senior Signal and Power Integrity Engineer,on_site,"Ontario, Canada",2024-10-03T08:58:02.052Z,"
            Senior Signal and Power Integrity Engineer page is loaded
            @@ -25028,7 +27298,7 @@ d510556f-1641-4d5d-86f0-1adcb61a667d,344787649,NVIDIA,Senior Signal and Power In
            time typeFull time
            -
            posted onPosted 20 Days Ago
            +
            posted onPosted 23 Days Ago
            job requisition idJR1988225
            @@ -25094,7 +27364,7 @@ d510556f-1641-4d5d-86f0-1adcb61a667d,344787649,NVIDIA,Senior Signal and Power In
            time typeFull time
            -
            posted onPosted 9 Days Ago
            +
            posted onPosted 12 Days Ago
            job requisition idJR1988670
            @@ -25132,51 +27402,110 @@ d510556f-1641-4d5d-86f0-1adcb61a667d,344787649,NVIDIA,Senior Signal and Power In
            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Mask-Layout-Design-Engineer_JR1988670?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-11-13T08:58:04.321Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/346258830-senior-mask-layout-design-engineer-at-nvidia,,draft,2024-10-14T08:58:04.321Z,import-xml-feed:Selenium-Scraper,,,,,,, -ec242167-6163-4ff9-887c-caf68f91d4a6,347103005,Roche,Delivery Service Manager - Quality and Compliance IT,on_site,"Ontario, Canada",2024-10-21T08:58:03.565Z,"
            +409425e2-8b70-42f1-a5b0-f7ea2378ef03,347469162,Roche,Principal Algorithm Engineer,on_site,"Ontario, Canada",2024-10-24T08:58:01.880Z,"

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            The Position

            +

            A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

            -

            And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

            +

            Creating a world where we all have more time with the people we love.

            +

            That’s what makes us Roche.

            -

            -

            The Opportunity:

            +

            We are seeking a Principal Algorithm Engineer to join our dynamic and innovative team of imaging scientists and software developers. In this role, you will address ground breaking image and data analysis challenges in the realm of Digital Pathology. You will lead and drive the development of sophisticated algorithms for histopathology image analysis, enhancing existing methods or pioneering new solutions. You will design and implement robust, scalable software for both prototyping and commercial applications, ensuring these solutions meet and exceed industry standards.

            -

            As Delivery Service Manager you are accountable for the operational setup, delivery, governance and continuous improvement of services associated with one or more products (technology solutions) to the business. These services enable our business to make and deliver quality pharmaceutical products.

            -

            +

            Collaborating with a diverse team of experts, including pathologists, biochemists, instrumentation engineers, software developers, and marketing experts, you will play a crucial role in achieving our shared scientific and technical goals. Your leadership and innovation will guide new research directions, lead project work, and coordinate team efforts towards meeting technical objectives.

            +

            +

            The Opportunity:

              -
            • Understand and owns every aspect of the service delivery, governance and performance

            • -
            • Face to the business for operational services and the initial single point of contact and escalation for operational service issues

            • -
            • Responsible for driving continuous improvements to facilitate \'good enough\' team output and elevating overall service experience

            • -
            • In collaboration with Product Managers and Chapter colleagues, ensure releases and changes are delivered in a controlled and agile manner

            • -
            • Lead the operations of services and products to achieve fit for purpose service levels in productivity, quality, output, and cost

            • -
            • Support audits and audit readiness

            • -
            • Ensure operational processes are designed, updated and socialized with audits and compliance in mind

            • -
            • As needed play different roles related to Delivery Management capabilities

            • +
            • Work with a highly collaborative team of imaging scientists and software developers to solve image and data analysis challenges in Digital Pathology.

            • +
            • Lead and implement the development of algorithms to analyze histopathology images, enhancing existing algorithms or creating new ones.

            • +
            • Develop software for both prototyping and commercial product environments, ensuring robust, scalable solutions that meet industry standards.

            • +
            • Partner with a diverse range of professionals, including pathologists, biochemists, instrumentation engineers, software developers, and marketing representatives, to achieve defined scientific and technical goals.

            • +
            • Provide leadership by selecting new research directions, managing project deliverables, and coordinating the team\'s efforts to meet technical objectives.

            • +
            • Identify and document opportunities for Intellectual Property, and stay ahead of with the latest advancements and training requirements in the medical device industry.

            • +
            • Present research findings and project results to internal and external collaborators, including collaboration partners, customers, and at scientific conferences, encouraging knowledge sharing and collaboration.

            -

            -

            +

            Who you are:

            +
              +
            • You bring over 6 years of industry experience, with hands-on expertise in developing algorithms for image and data analysis, particularly within biomedical imaging.

            • +
            • Master’s Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field

            • +
            • Proficient in Matlab, C++, or Python, and well-versed in deep learning frameworks such as PyTorch, Fastai, and TensorFlow.

            • +
            • Strong analytical and mathematical skills with a robust understanding of scientific principles, image analysis, pattern recognition, machine learning, computer vision, and data mining methods.

            • +
            • Proven experience in product development with a focus on data analysis, adhering to software engineering best practices for both prototyping and commercial product creation.

            • +
            • Exceptional written and verbal communication abilities, facilitating effective collaboration and information dissemination.

            • +

            -

            Who you are:

            -

            +

            Preferred:

              -
            • 5-7 years of relevant experience as Delivery Service Manager providing mission-critical services in a global organization with a Bachelor\'s degree in computer science, information systems or a related study (or equivalent project-related experience)

            • -
            • Expert in the discipline of IT Service Management, preferably certified in ITIL V3/V4

            • -
            • Experience in Computer Systems Validation (CSV).

            • -
            • Support Audit readiness at the site and awareness of regulations like HIPAA, GDPR, FDA CFR Part 11 will be an asset

            • -
            • Experience in supporting global initiatives, programs and projects and stong stakeholder management and communication skillsHas experience of pharmaceutical industry, Quality and Compliance

            • -
            • Experience working as a System Owner skills that keeps systems aligned with Business needs and regulatory requirements

            • -
            • Experience of DevOps and emerging technologies

            • -
            • Knowledge of the Agile methodologies, Scaled Agile Framework (SAFe)

            • +
            • Product development experience with a focus on data analysis preferred.

            • +
            • Experience working with Digital Pathology tools or Software

            • +
            • Experience working with Medical devices

            -

            +

            Relocation benefits are not available for this job posting.

            +

            Who we are

            +

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            +

            +

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            +

            +

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            +
            +

            +

            Roche is an Equal Opportunity Employer.

            +
            +
            ",,https://careers.roche.com/global/en/job/202409-123574/Principal-Algorithm-Engineer,feed-importer@jobboard.io,,,,2024-11-23T08:58:01.880Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469162-principal-algorithm-engineer-at-roche,,draft,2024-10-24T08:58:01.880Z,import-xml-feed:Selenium-Scraper,,,,,,, +b3b9e147-db52-47a0-9ffb-fccadaa97f4d,347469163,Roche,Analytics and Insights Manager - Oncology,on_site,"Ontario, Canada",2024-10-24T08:58:01.928Z,"
            +

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            +

            -

            Relocation benefits are not available for this job posting.

            +

            The Position

            +

            +

            Analytics and Insights Manager - Oncology

            +

            Location: Pharma Campus (Mississauga) - Hybrid

            +

            +

            +

            A healthier future drives us to innovate, continuously advance science, and ensure everyone has access to the healthcare they need today and for generations to come. We want to build a world where we all have more time with the people we love. That’s what makes us Roche.

            +

            +

            As the Analytics & Insights Manager (AIM) you will be focused on delivering advanced market and customer analytics, expert insights and recommendations to internal partners on a range of business issues. These include: health care system dynamics and challenges, customer and patient journeys, market and customer segmentation, engagement and channel content and strategies, key assumptions for sales forecasting efforts, and overall business performance via KPI measurement at the product, franchise and patient impact level.

            +

            +

            The AIM is responsible for primary (Qualitative & Quantitative) & secondary market research, specifically, managing the end-to-end process from business issue/problem identification, vendor selection, design, execution, analysis, reporting to delivery of strategic recommendations based on research insights.

            +

            +

            The AIM will act as a strategic business partner to Integrated Therapeutic Area Teams and Functional teams by providing key insights gathered via research, analytics and competitive intelligence. The AIM will act as the steward of insights for strategy teams, integrating data from all relevant sources to support the development and measurement of business and customer strategies and tactics.

            +


            The Opportunity

            +
              +
            • A subject matter expert in research methodologies and data sources relating to the health care system, pharmaceutical marketplace and stakeholders within these environments.

            • +
            • Lead the process for integrating data from multiple sources to provide deep business insights, proactively identify and communicate trends (issues and opportunities) through analytics, keeping them aligned with current company assets, needs, goals and strategies.

            • +
            • Perform complex analyses, translating the results in a way that can be intuitively understood and leveraged in business discussions and decision-making, while maximizing the value of data assets and providing insights into the impact of commercial strategies and activities.

            • +
            • Designs primary market research studies (i.e. establishes actionable objectives, selects vendor, approves methodology and survey instrument, etc); manages vendors in implementation of said studies to yield relevant market and/or customer insights and recommendations; and, manages market research budgets.

            • +
            • Identify and integrate relevant secondary research resources with primary research (including competitive intelligence) to generate insights and recommendations that support decision makin

            • +
            • Effectively landscapes health system, market, customer and competitor environments and delivers insights to inform customer engagement strategies and measures effectiveness of the activities and tactics employed

            • +
            • Actively contribute/participate in business planning and implementation to develop/revise customer segmentation, commercial effectiveness in delivering a unified Roche customer experience and providing/communicating information, insights and recommendations to drive effective, efficient and data-informed decision-making

            • +
            +

            +

            Who you are

            +
              +
            • You hold a minimum of a Bachelor’s Degree in life sciences or biotechnology and +5 years experience in analytics and/or Market Research in the pharmaceutical industry or health care sector

            • +
            • You take pride in the quality of your work, deliver with excellence and are confident and comfortable presenting your ideas, insights and recommendations to cross-functional business partners and teams

            • +
            • You have advanced knowledge of HCP customer universe analytics, prioritization and segmentation methodologies and approaches

            • +
            • You demonstrate strong knowledge of the realities and complexities of Canadian health systems and have intermediate knowledge of datasets and sources (e.g. IQVIA data)

            • +
            • You have very strong Excel and PowerPoint skills

            • +
            • You demonstrate very strong collaboration, communication and presentation skills

            • +
            • You have a proven ability to think strategically, lead and influence/persuade strategic decisions without direct authority

            • +
            +

            +

            Preferred

            +
              +
            • You hold a master degree in life sciences or biotechnology

            • +
            • You have +3 year experience in analytics and/or insights in Oncology

            • +
            • You have experience and knowledge of Omni-channel engagement and analytics

            • +
            • You have experience with supporting teams with identifying pain points across patient and customer journeys and can support them to prioritize improvement efforts and measure progress

            • +
            +

            +

            Relocation benefits are not available for this posting.

            Who we are

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            @@ -25188,7 +27517,152 @@ ec242167-6163-4ff9-887c-caf68f91d4a6,347103005,Roche,Delivery Service Manager -

            Roche is an Equal Opportunity Employer.

            -
            ",,https://careers.roche.com/global/en/job/202410-125887/Delivery-Service-Manager-Quality-and-Compliance-IT,feed-importer@jobboard.io,,,,2024-11-20T08:58:03.565Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347103005-delivery-service-manager-quality-and-compliance-it-at-roche,,draft,2024-10-21T08:58:03.565Z,import-xml-feed:Selenium-Scraper,,,,,,, +
            ",,https://careers.roche.com/global/en/job/202410-125432/Analytics-and-Insights-Manager-Oncology,feed-importer@jobboard.io,,,,2024-11-23T08:58:01.928Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469163-analytics-and-insights-manager-oncology-at-roche,,draft,2024-10-24T08:58:01.928Z,import-xml-feed:Selenium-Scraper,,,,,,, +5d8ac66a-e2bc-43e5-9d45-8d56f077c411,347469943,CIBC,"Associate, Electronic Trading",on_site,"Ontario, Canada",2024-10-24T10:09:02.117Z,"
            +

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            +

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            +

            +

            To learn more about CIBC, please visit CIBC.com

            +

            +

            +

            What You’ll Be Doing

            +

            +

            Considered a leader in the electronic execution space, CIBC\'s Electronic Trading Group provides clients with Direct Market Access (DMA) and Algorithmic equity trading products, as well as advanced trading tools for the implementation of trading strategies and best execution.

            +

            +

            Under the guidance of the Executive Director, Electronic Trading Group, the Associate, Electronic Trading completes electronic trading assignments, assists with the support of overnight electronic trading activities and also identifies and implements ongoing process improvements.

            +

            +

            At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

            +

            +

            How You’ll Succeed

            +
              +
            • Functional efficiencies - This position will develop functions and activities for performance in Canada, but it will be required to seek out and establish efficiencies and consolidate functions that include international business units and coordination with CIBC overseas offices

            • +
            • Overnight coverage - Flexible schedule with ability to work overnight hours for Asia/Europe market coverage

            • +
            • Client support - Provides support for after-hours coverage of electronic client activities. Works as a member of the electronic trading desk supporting clients, assisting with client requests and conducting day-to-day electronic trading activities for institutional and retail clients in an overnight capacity

            • +
            • Issue resolution - Liaises with various groups (middle office, back office, technology, clients, marketplaces/Exchanges) in resolving technical and settlement issues

            • +
            • Reporting - Assists in client reporting, trade reconciliation and technology troubleshooting. Contributes to improve existing processes through the implementation of technology solutions to optimize trading operations.

            • +
            • Adherence - Adheres strictly to compliance and operational risk controls in accordance with company and regulatory standards, policies, and practices

            • +
            • Systems and process maintenance - Provides value-added consulting to management, including the development and maintenance of electronic trading systems and processes.

            • +
            • Solutions-driven - Develops innovative approaches and solutions to various business issues and concerns. Typically this requires modifying general procedures and approaches to yield better results and increase efficiency

            • +
            • Relationship-focused - Manages intermediate internal and external relationships with their business unit/client group to promote acceptance and implementation of new, revised and unique product, programs, services and managing resistance to change. Strong interpersonal and communication skills to work alongside the business, including management, on a regular basis

            • +
            +

            +

            Who You Are

            +
              +
            • You can demonstrate experience with software/programming languages including some or all of VBA, SQL

            • +
            • You have attained an equivalent to University degree in Mathematics, Engineering, Computer Science is preferred. Solid understanding of statistics and finance is required.

            • +
            • You can demonstrate professional experience in equities or derivatives Sales and Trading (3+ years). Market structure knowledge an asset

            • +
            • You have familiarity with algorithmic trading strategies and smart order routing systems and logic an asset

            • +
            • You are technically savvy. Database maintenance and development (SQL Server experience). Experience with technology in a financial setting. Experience with Bloomberg and IRESS an asset

            • +
            • You have attained Canadian regulatory registrations (CSC, DFC, CPH, Traders Training, OLC work towards FLC)

            • +
            • You love to learn. Proactive, motivated, detail-oriented, and able to work independently

            • +
            • You have superior problem solving, analytical, judgment and change implementation capabilities

            • +
            • You can demonstrate excellent oral and written communications skills to interact with all management levels within all areas of the Bank

            • +
            • You know that details matter. Organized, detail oriented individual with highly developed analytical skills

            • +
            • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

            • +
            +

            +

            +

            What CIBC Offers

            +

            +

            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            +
              +
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

            • +
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

            • +
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

            • +
            +

            +

            *Subject to plan and program terms and conditions

            +

            +

            What you need to know

            +
              +
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • +
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • +
            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

            • +
            +

            +

            +

            +

            +

            +

            Job Location

            Toronto-161 Bay St., 5th

            +

            Employment Type

            Regular

            +

            Weekly Hours

            37.5

            +

            Skills

            Accountability, Analytics Insights, Business Direction, Client Service, Communication, External Clients, Finance, Global Market, Marketing Strategies, People Management, Portfolio Management, Researching, Sales, Structured Products
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Electronic-Trading_2422144?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-23T10:09:02.124Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469943-associate-electronic-trading-at-cibc,,draft,2024-10-24T10:09:02.117Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +e636381d-caff-4477-9411-ec3129e8f7ea,347469108,Sun Life Financial,"Director, People Analytics",on_site,"Ontario, Canada",2024-10-24T08:50:02.617Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            +

            +

            Job Description:

            +

            +

            Role Summary

            +

            +

            Reporting directly to the AVP Organizational Development & Talent Management SL (Sun Life) Canada with a dotted line to the AVP Global Employee Listening & People Insights, the Director , People Analytics is responsible for developing and implementing data-driven strategies that inform HR decision-making processes and enhance key talent programs.

            +

            +

            This is an exciting opportunity to partner with SL Canada HR, the Enterprise People Analytics team and business leaders to provide actionable workforce insights and recommendations in support of our talent management, workforce planning, DE&I and employee experience practices.

            +

            +

            To succeed in this role, you need a curious mind, a love of numbers, and a consultative expertise to help us reimagine how HR works with data.

            +

            +

            What will you do?

            +
              +
            • Develop and execute a comprehensive talent analytics strategy focused on key workforce issues that drive business performance in SL Canada.

            • +
            • Partner with Enterprise People Analytics and HR teams to design and lead strategic analytics initiatives aligned with organizational goals and HR priorities. These may include, but not limited to, workforce planning, career mobility, turnover and supporting Sun Life’s employee engagement, culture management and DE&I goals and objectives.

            • +
            • Build reports, dashboards, and presentations to communicate analytical findings and real-time insights on key HR metrics and workforce trends. This will include the development of targeted scorecards and the use advanced analytics approaches (e.g. predictive analytics, text analytics, organizational network analytics (ONA), etc.). to address critical business questions on issues such as talent acquisition, retention, performance, and engagement.

            • +
            • Deliver impact by transforming data and analysis into insights and actionable recommendations for executive leadership and key stakeholders.

            • +
            • Be a key point of contact and subject matter expert for ad-hoc people questions and help others to tell stories with data.

            • +
            • Partner and align with Enterprise People Analytics team on development, enhancement and implementation of HR analytics practices, tools, methodologies and processes.

            • +
            • Continuously learn and apply innovations in advanced analytics, industry developments and research in the people analytics field.

            • +
            • Proactively share knowledge and expertise with others to build people analytics capability in the broader HR community, including coaching and mentoring fellow data analysts and HR peers.

            • +
            • Maintain data quality and integrity, and ensure all analysis complies with privacy regulations and data governance practices.

            • +
            +

            +

            What do you need to succeed?

            +
              +
            • Expert knowledge and experience in building talent analytics strategies and leading application in the business for effective decision making and problem solving.

            • +
            • Strong background in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data.

            • +
            • Experience with advanced statistical methods around hypothesis testing, clustering, machine learning predictions, and text mining.

            • +
            • Strong understanding of tools and languages such as Python, R, and Tableau, One Model and in the design and implementation of data pipelines that support the continuous delivery of insight.

            • +
            • Strong business acumen and understanding of how HR analytics ties to business outcomes

            • +
            • Excellent written and verbal communication with the ability to effectively package and present information to senior business leaders and HR professionals, translating complex data into actionable insights.

            • +
            • Proven experience using data to tell compelling stories to drive decision making at all levels.

            • +
            • Excellent interpersonal skills with ability to collaborate, partner and build relationships; willingness to challenge the status quo in a constructive manner.

            • +
            • Strong consulting skills including the ability to diagnose issues, generate good alternative approaches/solutions and influence with data.

            • +
            • Strong planning and project execution skills and adept in managing multiple deadlines, teams, and direct and indirect leaders

            • +
            • Ability to deal with ambiguity, organize and accomplish objectives independently and proactively.

            • +
            • Substantial experience with HR systems, processes and data governance practices, including experience in evaluating people analytics tools and vendors.

            • +
            +

            +

            Qualifications

            +
              +
            • Degree in Industrial Organizational Psychology, Social Sciences, Economics, Statistics, or similar education

            • +
            • 10 years of relevant experience with quantitative/qualitative analytics and/or predictive analytics applicable to people research in an organizational setting.

            • +
            +

            +

            What’s in it for you?

            +
              +
            • We are proud to be on the 2024 Best Workplaces in Canada list by Great Place to Work.

            • +
            • We’re also listed as one of the Best Workplaces for Women and Best Workplaces with Most Trusted Executive Teams.

            • +
            • In 2024, Sun Life ranked among the top 100 most sustainable global corporations by Corporate Knights for the 15th consecutive year, leading Canadian insurers.

            • +
            • A caring, supportive, and inclusive culture

            • +
            • Flexible Benefits from the day you join to meet the needs of you and your family

            • +
            • Time off giving you the flexibility to focus on the moments that matter.20 days vacation per year.

            • +
            • Care Days available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.

            • +
            +

            +

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            +

            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            +

            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            +

            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            105,000/105 000 - 180,000/180 000

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            03/11/2024
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--People-Analytics_JR00103728?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-23T08:50:02.634Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/347469108-director-people-analytics-at-sun-life-financial,,draft,2024-10-24T08:50:02.617Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, 70ec2ebf-2da0-4917-a0af-dc0c312d189c,345271088,BenchSci,Senior Machine Learning Engineer (Remote),full,"Toronto, Ontario Remote",2024-10-06T16:41:03.553Z,"
            We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci.

            @@ -25233,7 +27707,7 @@ ec242167-6163-4ff9-887c-caf68f91d4a6,347103005,Roche,Delivery Service Manager -
          • Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders.
          • A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community.
          • -
            ",,https://jobs.lever.co/benchsci/2f0496d7-da1c-4e13-bcf8-60db80c5a84f?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-11-06T19:00:48.832Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/345271088-senior-machine-learning-engineer-remote-at-benchsci,https://jobs.lever.co/benchsci/2f0496d7-da1c-4e13-bcf8-60db80c5a84f,published,2024-10-06T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +
            ",,https://jobs.lever.co/benchsci/2f0496d7-da1c-4e13-bcf8-60db80c5a84f?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-11-06T19:00:48.832Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/345271088-senior-machine-learning-engineer-remote-at-benchsci,https://jobs.lever.co/benchsci/2f0496d7-da1c-4e13-bcf8-60db80c5a84f,published,2024-10-06T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, 09a5c7ec-978f-4f86-8137-4aea6c9e2a30,346634426,TELUS,Manager - Artificial Intelligence,on_site,"Ontario, Canada",2024-10-17T08:58:02.166Z,"

            Join our team and what we\'ll accomplish together

            @@ -25283,7 +27757,7 @@ ec242167-6163-4ff9-887c-caf68f91d4a6,347103005,Roche,Delivery Service Manager -
            -
            ",,https://careers.telus.com/job/Toronto-Manager-Artificial-Intelligence-ON/582360017/,feed-importer@jobboard.io,,,,2024-11-16T16:12:00.200Z,False,0,7,30,https://talenthub.vectorinstitute.ai/jobs/346634426-manager-artificial-intelligence-at-telus,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +
            ",,https://careers.telus.com/job/Toronto-Manager-Artificial-Intelligence-ON/582360017/,feed-importer@jobboard.io,,,,2024-11-16T16:12:00.200Z,False,0,7,32,https://talenthub.vectorinstitute.ai/jobs/346634426-manager-artificial-intelligence-at-telus,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, a537d768-e6b3-4727-af7b-7eece87bf826,346652709,Canadian Tire,Oracle Transportation Management (OTM) Tech Consultant,on_site,"Mississauga, ON, Canada",2024-10-17T16:18:24.152Z,"

            What you'll do

            The OTM Technical Consultant oversees all project tasks and outcomes linked to OTM infrastructure and platform architecture. This individual is responsible for managing configurations within the OTM cloud environment and is held accountable for delivering the appropriate level of assistance to IT and business associates.

            @@ -25366,90 +27840,7 @@ a537d768-e6b3-4727-af7b-7eece87bf826,346652709,Canadian Tire,Oracle Transportati

            Accommodations

            We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

            -

            ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/OTM-Technical-Consultant_JR133526,aitalent@vectorinstitute.ai,,,,2024-11-16T16:18:00.000Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/346652709-oracle-transportation-management-otm-tech-consultant-at-canadian-tire,,published,2024-10-17T16:18:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Senior Level,No Degree,New Posting, -5e666208-5bc0-4c5c-ac74-ff2e8cf97f1e,344787009,RBC,AI/ML Data Engineer,on_site,"Toronto, ON, Canada",2024-10-03T08:20:04.810Z,"
            -

            Job Summary

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            As a Data Engineer :

            -
              -
            • Creating software for retrieving, parsing and processing structured and unstructured data.
            • -
            • Defining and building scalable ETL/ELT workflows for reporting and analytics.
            • -
            • Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
            • -
            • Developing scripts and programs for converting various types of data into usable formats.
            • -
            -

            -

            What will you do?

            -
              -
            • Develop, test, and deploy software to generate data assets (relational, graph, other) for use by downstream insight analysts and data scientists
            • -
            • -Work with big data, graph, and cloud technologies such as Spark, Hadoop, Hive, Neo4j, S3, EMR, EC2, Lambda, and Kafka. Work closely with stakeholders to ensure successful data asset design and development
            • -
            • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using complex optimized queries
            • -
            • Use Scala, Cypher, Spark, GitHub, Maven, Jenkins and Airflow to develop and deploy automated data-producing software packages
            • -
            • Create software artifacts and patterns for reuse within the enterprise
            • -
            • Ensure ETL pipelines are produced with the highest quality standards, metadata and validated for completeness and accuracy
            • -
            • Work on a cross-functional Agile team responsible for end-to-end delivery of business needs
            • -
            • Help develop new solutions for batch and real-time data and analytics use cases. Help improve data management processes - acquiring, transforming and storing massive volumes of structured and unstructured data
            • -
            • Work closely with development teams to learn about needs, current processes and to promote best practices.
            • -
            -

            -

            What do you need to succeed?

            -

            Must-have

            -
              -
            • Bachelors in Computer Science or Software Engineering
            • -
            • Min 3 years of experience with Python, Spark, Hadoop, Java, Linux, and SQL
            • -
            • Experience in the big data ecosystem, with Hadoop (Pig, Hive, HDFS), Apache Spark, and NoSQL/SQL databases
            • -
            • Experience using Git or Maven while collaborating on a software development team
            • -
            • -Experience using ETL big data pipelines, knowledge of CI workflows and build/test automation
            • -
            -

            -

            Nice-to-have

            -
              -
            • Experience with other analytics programming languages (R)
            • -
            • Experience with other data analytics and visualization tools such as Tableau
            • -
            • Experience with Agile software development
            • -
            • Experience with DevOps concerns, including CI/CD
            • -
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Ability to make a difference and lasting impact
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • A world-class training program in financial services
            • -
            • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients
            • -
            • Access to a variety of job opportunities across business and geographies.
            • -
            -

            -

            #LI-Post

            -

            #LI-Hybrid

            -

            #LI-PK

            -

            #TECHPJ

            -

            -

            -

            Job Skills

            Agile Methodology, Agile Methodology, Apache Hadoop, Apache Spark, Big Data, Big Data Management, Cloud Computing, Cloud Computing Architecture, Data Analytics, Data Architecture, Database Development, Database Queries, Data Governance, Data Mining, Data Pipelines, Data Warehousing (DW), Design, DevOps, End-to-End Testing, ETL Pipelines, ETL Processing, Git, Group Problem Solving, Python (Programming Language), Quality Management {+ 2 more}

            -

            -

            -

            Additional Job Details

            -

            Address:

            BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            STRATEGY AND ADMINISTRATION

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-02

            Application Deadline:

            2024-10-31

            -

            -

            -

            -

            -
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            -

            -

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000100275/AI-ML-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-03T18:47:37.277Z,False,0,9,58,https://talenthub.vectorinstitute.ai/jobs/344787009-ai-ml-data-engineer-at-rbc,,published,2024-10-03T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +

            ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/OTM-Technical-Consultant_JR133526,aitalent@vectorinstitute.ai,,,,2024-11-16T16:18:00.000Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/346652709-oracle-transportation-management-otm-tech-consultant-at-canadian-tire,,published,2024-10-17T16:18:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Senior Level,No Degree,New Posting, f28a0a1b-e479-4e95-a4dc-dcc94726e9df,346633828,RBC,Lead Data Engineer,on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.069Z,"

            Job Summary

            @@ -25506,7 +27897,7 @@ f28a0a1b-e479-4e95-a4dc-dcc94726e9df,346633828,RBC,Lead Data Engineer,on_site,"T

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000098008/Lead-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:26:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/346633828-lead-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,No Degree,New Posting, +
            ",,https://jobs.rbc.com/ca/en/job/R-0000098008/Lead-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:26:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/346633828-lead-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,No Degree,New Posting, 8157044f-f5b7-4533-bbd8-2877e0720c17,346257779,Accenture,Responsible AI - Advisor Senior Manager,on_site,"Toronto, ON, Canada",2024-10-14T08:44:02.145Z,"

            Job Description

            @@ -25592,104 +27983,7 @@ f28a0a1b-e479-4e95-a4dc-dcc94726e9df,346633828,RBC,Lead Data Engineer,on_site,"T
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239701_en&title=Responsible%20AI%20-%20Advisor%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:07:26.922Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/346257779-responsible-ai-advisor-senior-manager-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -e79f7e39-f3ff-4923-964a-fe3e5fd6522e,346634211,Accenture,Data &AI Senior Manager,on_site,"Toronto, ON, Canada",2024-10-17T08:44:02.357Z,"
            -

            Job Description

            -
            -

            We Are:

            -

            Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us : Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

            -

            -

            You Are:

            -

            A thought leader and an expert in the field of Data &Analytics, who can connect and advise senior clients leveraging your storytelling skills and strong data driven mindset. As a Data & AI leader, you will coach our up-and-coming leaders and help develop their careers, in addition to guiding our diverse multi-disciplinary workforces, on a day-to-day basis on solving our client’s data challenges.

            -

            As a Data &AI Senior Manager, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas through business insight to usher in data driven reinvention and make data governance a part of their organisation culture.  You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape, in keeping with client industry and global economic, technology and social trends.

            -

            -

            What you’ll be doing:

            -

            -
            • Oversee and mentor a team of data consultants, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions.
            -
            • Design and implement robust, scalable, and secure data architectures on cloud platforms like AWS, Azure, or Google Cloud. Drive the adoption of best practices in data management, including ETL/ELT processes, data warehousing, and data modeling.
            -
            • Leading diverse delivery, teams working with clients on a day-to-day basis
            -
            • Collaborate with senior leadership and stakeholders to define and execute the client organisations’ data strategy, aligning data initiatives with overall business objectives.
            -
            • Lead the development of data products and solutions that provide actionable insights and drive business growth.
            -
            • Implement and enforce data governance frameworks, ensuring data accuracy, consistency and accessibility. Champion data quality initiatives and ensure compliance with relevant regulations and standards.
            -
            • Continuously evaluate and optimize the performance of data infrastructure, identifying opportunities for cost reduction, efficiency improvements, and innovation. Lead efforts to modernize legacy systems and integrate new technologies.
            -
            • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture’s highest quality standards.
            -
            • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.
            show more show less
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            Qualifications

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            Here’s what you need:

            -
            • A bachelor’s degree in computer science, Information Systems, or a related field.
            • A minimum of 8-10 years of experience in data solutions, with at least 3-5 years in a leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.
            • -
            -
            • Deep understanding of data architecture, ETL/ELT processes, data warehousing, and data modeling. Proficiency in programming languages such as Python, SQL, and Scala, as well as experience with big data technologies like Hadoop, Spark, and Kafka.
            • -
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            • Hands-on experience with cloud-based data services and tools, including data lakes, data pipelines, and real-time data processing.
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            • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.
            • -
            -
            • Ability to translate business objectives into a clear data strategy. Experience in driving data initiatives that align with organizational goals and deliver measurable business value.
            • -
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            • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.
            • -
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            • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.
            • -
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            • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.
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            • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field.
            • -
            -
            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
            • -
            -

            -

            Bonus points if:

            -
            • Previous experience within the consulting industry.
            • -
            -
            • Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
            • -
            -
            • Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g. Informatica IDMC/ IICS), MySQL/NoSQL, CQRS Event Sourcing
            • -
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            • A master’s or Ph.D. in Data Science, Computer Science, or a related field, with a focus on big data or cloud computing.
            • -
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            • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements.
            • -
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            • Relevant certifications in solution architecture or data governance
            • -
            -

            -

            -

            #LI-NA

            -

            -

            Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

            -

            Information on benefits is here.

            -

            Role Location Annual Salary Range

            -

            British Columbia $117,200 to $272,600

            -

            -
            -

            Locations

            -
            Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
            -
            -
            -

            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

            -
            -

            Our Commitment to Inclusion & Diversity

            -

            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

            -

            Requesting An Accommodation

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

            -

            Other Employment Statements

            -

            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

            -

            Job candidates are not required to disclose any offence for which a pardon has been granted.

            -
            -
            -
            Share
            -
            Share
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            Job Link:
            Copy
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            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236464_en&title=Data%20%26AI%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-16T16:09:16.375Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/346634211-data-ai-senior-manager-at-accenture,,published,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239701_en&title=Responsible%20AI%20-%20Advisor%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:07:26.922Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/346257779-responsible-ai-advisor-senior-manager-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, 6ee36741-f669-44d9-8ae4-cf5e456b1354,347118817,Scotiabank,"Senior Manager, Strategic Planning, Data Insights & Analytics",on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.334Z,"

            @@ -25713,7 +28007,7 @@ e79f7e39-f3ff-4923-964a-fe3e5fd6522e,346634211,Accenture,Data &AI Senior Manager
            • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
            • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
            • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
            • Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.
            • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Planning%2C-Data-Insights-&-Analytics-ON-M5C2W1/585756817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:10:21.933Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/347118817-senior-manager-strategic-planning-data-insights-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Planning%2C-Data-Insights-&-Analytics-ON-M5C2W1/585756817/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Planning%2C-Data-Insights-&-Analytics-ON-M5C2W1/585756817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:10:21.933Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/347118817-senior-manager-strategic-planning-data-insights-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Planning%2C-Data-Insights-&-Analytics-ON-M5C2W1/585756817/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, c7d1767a-703c-40b0-92b3-99d6561d7bf5,346633827,RBC,Staff Data Scientist,on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.012Z,"

            Job Summary

            @@ -25787,232 +28081,7 @@ c7d1767a-703c-40b0-92b3-99d6561d7bf5,346633827,RBC,Staff Data Scientist,on_site,

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000102330/Staff-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:26:04.354Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/346633827-staff-data-scientist-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -3cab2b5f-508b-4916-b21d-0f873923108f,342896232,KPMG,Senior Consultant/ Manager - Data Engineer,on_site,"Toronto, Canada Calgary, Canada Vancouver, Canada",2024-09-20T16:34:02.908Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

            Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

            The KPMG Microsoft practice is currently one of our fastest growing practices and we are seeing tremendous client demand across various sectors.

            Our mission is to enable clients to harness the full potential of Microsoft Fabric, unlocking the power of their data and driving business transformation through AI-driven solutions. As a member of our team, you'll have the chance to work with cutting-edge technology, tackle complex data challenges, develop your skills, and contribute to business growth and innovation in a dynamic and diverse work environment.


            What you will do

              -
            • Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure
            • -
            • Actively participate in the conceptualization, design, and implementation of data architecture solutions, including estimation, solution planning, and creation of statements of work to meet customer requirements and outcomes.
            • -
            • Design, develop and produce data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
            • -
            • Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
            • -
            • Support pre-sales efforts by providing expertise on our data solutions, software demonstrations for proposals and customer presentations, and by building assets and accelerators.
            • -
            • Stay up to date with the latest developments in data architecture and engineering technologies, products, and trends.
            • -
            • Identify opportunities for improvement in our data architecture and engineering processes, and proactively recommend strategies for optimization and efficiency.
            • -

            What you bring to the role

            • -
                -
              • 5+ years of proven consulting experience with data architecture and data engineering for enterprise customers.
              • -
              • Hands-on experience in designing and implementing large-scale data architectures, engineering solutions, and data migration projects.
              • -
              • Experience in providing pre-sales support, including developing proposals and conducting demonstrations for data architecture and engineering solutions.
              • -
              • Proficiency in Data Integration (Sourcing, Storage and Migration) and Data Quality, Profiling and Cleansing
              • -
              • Experience in creating BI visualizations, dashboards and reports using Power BI.
              • -
              • Strong understanding of cloud analytics and data management.
              • -
              • Proficiency in using SQL and Python.
              • -
              • Good business acumen and ability to translate commercial requirements into technical solutions including ability to communicate technical concepts and their impact to stakeholders at all levels.
              • -
              • Hands on experience with data processing and analytics using Azure Data Factory, Azure Synapse, Azure Data Lake or Azure Databricks is a plus
              • -
              • Knowledge of Microsoft Fabric is a plus
              • -
              -
                -
              • A university degree with a preference for Computer Science or related field.
              • -
              • Microsoft Certifications on Microsoft Fabric and Azure Data Engineer are highly desirable
              • -
              -

            KPMG BC Region Pay Range Information

            The expected base salary range for this position is $85,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/24633?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-23T17:01:14.888Z,False,0,3,31,https://talenthub.vectorinstitute.ai/jobs/342896232-senior-consultant-manager-data-engineer-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24633?lang=en-us,published,2024-09-20T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -99ee1aed-59a9-47d4-a1e5-8270a99184cf,346634195,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-10-17T08:43:01.932Z,"
            -
            -

            What\'s the opportunity?

            -

            As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

            -

            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

            -
            -
            -

            Your responsibilities include:

            -
              -
            • Developing novel AI solutions that facilitate impactful products;
            • -
            • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
            • -
            • Working with the development team to transfer research work into production;
            • -
            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
            • -
            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
            • -
            -
            -
            -

            You’re our ideal candidate if you have:

            -
              -
            • A passion for solving open problems using data and algorithms;
            • -
            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
            • -
            • Ability to formulate and drive a research project independently without close supervision;
            • -
            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
            • -
            -
            -
            -

            What’s in it for you?

            -
            -
              -
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • -
            • Leaders who support your development through coaching and managing opportunities;
            • -
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • -
            -

            About RBC Borealis

            -

            RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

            -
            -
            -
            -

            Inclusion and Equal Opportunity Employment

            -

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            -
            -
            ",,https://rbcborealis.com/jobs/?gh_jid=7634549002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-16T16:03:19.836Z,False,0,5,42,https://talenthub.vectorinstitute.ai/jobs/346634195-machine-learning-researcher-at-borealis-ai,,published,2024-10-17T08:43:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -b881f97e-115f-48a8-b502-afb4da3dd3f2,345182863,BELL CANADA,2025 Internship Program- Data Analytics & AI,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:02.642Z,"

             ​Req Id: 420056


            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


            Join us. You belong at Bell. 

             

            Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

             

            At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

             

            -
            -
            -

            Why join us?

            -
            -
              -
            • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
            • -
            • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
            • -
            • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
            • -
            • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
            • -
            • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
            • -
            • Develop your technical and leadership skills through formal and experiential training programs.
            • -
            • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
            • -
            -
            -
            -
            -

            What you’ll do

            -
            -
            -

             

            -

            As an intern, you will support the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You’ll be a part of projects that expose you to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will include opportunities to offer insights that influence business decisions and technology investments across Bell.

            -
            -
            -
            -
            -

            What we’re looking for

            -
            -
            -

             

            -

            Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here

            -

             

            -
              -
            • Data Scientist
            • -
            • Data Analyst
            • -
            • Machine Learning Engineering
            • -
            • Data Engineering
            • -
            -
            -
            -
            -
            -

            Requirements

            -
            -
            -

             

            -

            You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

            -

             

            -

            Technical skills (you have some of the following)

            -

             

            -
              -
            • You can analyze, process, and visualize complex data quickly.
            • -
            • You have experience using SQL for data exploration and insights.
            • -
            • You have knowledge of data analytics theory, including statistical analysis and quantitative and qualitative modeling.
            • -
            • You are familiar with programming languages like Python, Scala, R, or similar.
            • -
            • Some knowledge of analytical tools such as Looker, Kibana, Tableau, and Microstrategy.
            • -
            • You have knowledge of machine learning and artificial intelligence concepts and their potential applications.
            • -
            • You are aware of Agile and CI/CD methodologies in software development.
            • -
            -
            -
            -
            -
            -

            Leadership Skills

            -
            -
              -
            • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
            • -
            • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
            • -
            • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
            • -
            • You gain the trust of your teams, being known for demonstrating fairness and respect.
            • -
            • You promote belonging and are flexible, accountable and collaborative.
            • -
            • You are committed to growing your skills and learning from others.
            • -
            -
            -
            -
            -

            Applying is simple

            -
            -
            -

            Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

            -

            1.    Review our programs and indicate up to three role choices in your application.
            2.    Complete your video interview within 48 hours. 
            3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
            4.    If selected from previous step, you will be invited to a virtual panel interview.

            -

             

            -

            Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

            -

             

            -

            Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

            -
            -
            -

            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec.

             

            Additional Information:
            Position Type: Management 
            Job Status: Intern 
            Job Location: Canada : Ontario : Mississauga || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal 
            Work Arrangement: Hybrid
            Application Deadline: 11/03/2024

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

             

            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            Created: Canada, ON, Mississauga

            #CampusAI24

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420056EXTERNALENCA/2025-Internship-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T19:19:33.589Z,False,0,27,103,https://talenthub.vectorinstitute.ai/jobs/345182863-2025-internship-program-data-analytics-ai-at-bell-canada,BECACA420056EXTERNALENCA,published,2024-10-05T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, -8ad2a9f0-f25b-44a4-9b72-7adc43d89ac9,344795619,CIBC,Sr. Consultant Analytics Engineer,on_site,"Ontario, Canada",2024-10-03T10:04:02.854Z,"
            -

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            -

            What You’ll Be Doing

            -

            -

            Enterprise Data & Analytics Enablement team employ tailored approach to support each LoB strategy and transform and accelerate the BI/Analytics (BIA) experience within CIBC. We are here to enable our business partners to seamlessly adopt data analytics tools, AI capabilities to make data-driven decisions in an efficient and secured manner.

            -

            As a Senior Analytics Engineer you will design and carry out the development of BI/AI solutions and services leveraging a wide variety of BI/AI tools. The incumbent will be responsible for data integration from multiple data sources, analyzing business needs and requirements, providing an informed opinion or recommendation on opportunities to optimize business intelligence for the benefit of our business partners, employees, and shareholders.

            -

            -

            At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

            -

            -

            How you’ll Succeed

            -
              -
            • Support Analytics/AI Enablement StrategyLead and partner with Spoke Analytics teams, Enterprise Data Technology, Enterprise Architecture, Information Security and other business groups with a focus of fostering Data Analytics / AI research and innovation culture. Provide guidance, subject matter expertise and specialized recommendations to business partners in the area of effective consumption of CIBC\'s data, Analytics and AI tools - techniques to explore/analyze data, visualization design and build, solution optimization, modeling.

            • -
            • Support Data and Analytics initiatives - Design and build end to end Analytics and AI solutions that includes data modeling, orchestration and pipeline services, data visualization, and ML models utilizing various tools and cloud technology (Power BI, Databricks, Tableau, Alteryx, T-SQL, Azure and GCP). Consulting and upskilling the wider data teams and stakeholders on the tools within the semantic layer to promote self-service.

            • -
            • Support Data and Analytics continuous improvement - Identify opportunities to automate, streamline processes that will bring in efficiency in data reporting and analytical environments, lessen manual intervention and increase end user efficiency. Represent Enterprise Data and Analytics Hub and consult on a wide range of enterprise initiatives related to Analytics and AI, ensuring recommendations are effective and efficient over the long term and meet the business objectives.

            • -
            • Leadership- Provide leadership in designing data enablement rollout strategy by liaising with various lines of businesses, analytical groups, user base, technology, change management. Lead and partner with cross functional groups fostering BI/ Analytics research and innovation culture.

            • -
            • Focus on Innovation and Simplification - Strive for continual enhancement of enablement processes and contribute to platform and governance process simplification.

            • -
            • Relationship Management- Focus on building strong relationships with internal and external clients. Work collaboratively with teams across the bank to understand their data and analytical needs. Work with the teams to identify their data and analytical needs and provide appropriate support and recommendations.

            • -
            -

            -

            Who You Are

            -
              -
            • You can demonstrate Practical knowledge and hands on experience in the area of Analytics Engineering, AI, Big Data, Cloud environment (Azure, GCP).

            • -
            • You Have 5+ years of hands-on experience with Databricks, Tableau, Alteryx, Power BI, T-SQL. Having exposure to Python, Vertex AI an asset.

            • -
            • You Are a master storyteller – you possess presentation, interactive/analytical skills sufficient to convey both factual and conceptual information utilizing methodologies as Rapid BI, Design Thinking and Storytelling. Business analysis and consulting skills to precisely articulate & understand business challenges and goals that involve interpretation, analysis, assessment and implementation.

            • -
            • You’re driven to succeed. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

            • -
            • You give meaning to data. You enjoy investigating complex problems and making sense of information. Understanding internal banking processes and how they translate into data outputs.

            • -
            -
              -
            • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends, leverage data and analytics to build competitive advantage to enhance our client focus and become an analytics leader, focusing on continuous advancement.

            • -
            • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

            • -
            • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

            • -
            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

            • -
            -

            -

            -

            -

            What CIBC Offers

            -

            -

            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            -
              -
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

            • -
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

            • -
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

            • -
            -

            -

            *Subject to plan and program terms and conditions

            -

            -

            What you need to know

            -
              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • -
            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

            • -
            -

            -

            -

            -

            -

            -

            Job Location

            Toronto-81 Bay, 22nd Floor

            -

            Employment Type

            Regular

            -

            Weekly Hours

            37.5

            -

            Skills

            Business Effectiveness, Communication, Data Mining, Data Reporting, Decision Making, Machine Learning, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant-Analytics-Engineer_2420661?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-03T18:56:19.489Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/344795619-sr-consultant-analytics-engineer-at-cibc,,published,2024-10-03T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +
            ",,https://jobs.rbc.com/ca/en/job/R-0000102330/Staff-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:26:04.354Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/346633827-staff-data-scientist-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, 3fb6ff0a-0337-4b29-9898-f1f31310f552,343662422,Ada,"Intermediate Software Engineer, Backend",on_site,"Ontario, Canada",2024-09-26T08:58:04.246Z,"
            @@ -26073,7 +28142,7 @@ b881f97e-115f-48a8-b502-afb4da3dd3f2,345182863,BELL CANADA,2025 Internship Progr

            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4514743007,feed-importer@jobboard.io,,,,2024-11-03T18:31:03.916Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/343662422-intermediate-software-engineer-backend-at-ada,,published,2024-09-26T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, +
            ",,https://job-boards.greenhouse.io/ada18/jobs/4514743007,feed-importer@jobboard.io,,,,2024-11-03T18:31:03.916Z,False,0,5,20,https://talenthub.vectorinstitute.ai/jobs/343662422-intermediate-software-engineer-backend-at-ada,,published,2024-09-26T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, d03a1ab7-018f-46b4-ae58-28c19bb94fec,345808826,PwC,Data Architect Senior Manager,on_site,"Toronto, ON, Canada",2024-10-10T21:06:16.454Z,"

            A career in Information Technology, within Internal Firm Services, will provide you with the opportunity to support our core business functions by deploying applications that enable our people to work more efficiently and deliver the highest levels of service to our clients. You’ll focus on managing the design and implementation of technology infrastructure within PwC, developing and enhancing both client and internal facing applications within PwC, and providing technology tools that help create a competitive advantage for the Firm to drive strategic business growth.

            Our Data Intelligence and Analysis - Practice Support team provides PwC a series of organisational technology capabilities that include business intelligence, data management, data warehouse, and data assurance. You’ll help with projects that involve information technology strategy and infrastructure, enterprise architecture, enterprise applications, large scale programme and portfolio management, information technology security, data analytics, computer forensics, and emerging technologies like cloud, mobility and social networking.

            Meaningful work you’ll be apart of

            @@ -26110,7 +28179,138 @@ d03a1ab7-018f-46b4-ae58-28c19bb94fec,345808826,PwC,Data Architect Senior Manager

            The most connected firm through activity based working

            PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people. We want you to be intentional with your work, how you do it and where it’s done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work, whether it’s in the office or at a client site. This means we expect you to be in-person (either with clients or in the office) at least half of your time. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.

            -

            At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
            We’re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.Explore Location

            ",,https://jobs-ca.pwc.com/ca/en/job/534855WD/Data-Architect-Senior-Manager,aitalent@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2024-11-09T21:06:18.553Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/345808826-data-architect-senior-manager-at-pwc,,published,2024-10-10T21:06:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +

            At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
            We’re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.Explore Location

            ",,https://jobs-ca.pwc.com/ca/en/job/534855WD/Data-Architect-Senior-Manager,aitalent@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2024-11-09T21:06:18.553Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/345808826-data-architect-senior-manager-at-pwc,,published,2024-10-10T21:06:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +99ee1aed-59a9-47d4-a1e5-8270a99184cf,346634195,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-10-17T08:43:01.932Z,"
            +
            +

            What\'s the opportunity?

            +

            As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

            +

            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

            +
            +
            +

            Your responsibilities include:

            +
              +
            • Developing novel AI solutions that facilitate impactful products;
            • +
            • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
            • +
            • Working with the development team to transfer research work into production;
            • +
            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
            • +
            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
            • +
            +
            +
            +

            You’re our ideal candidate if you have:

            +
              +
            • A passion for solving open problems using data and algorithms;
            • +
            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
            • +
            • Ability to formulate and drive a research project independently without close supervision;
            • +
            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
            • +
            +
            +
            +

            What’s in it for you?

            +
            +
              +
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • +
            • Leaders who support your development through coaching and managing opportunities;
            • +
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • +
            +

            About RBC Borealis

            +

            RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

            +
            +
            +
            +

            Inclusion and Equal Opportunity Employment

            +

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            +
            +
            ",,https://rbcborealis.com/jobs/?gh_jid=7634549002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-11-16T16:03:19.836Z,False,0,8,52,https://talenthub.vectorinstitute.ai/jobs/346634195-machine-learning-researcher-at-borealis-ai,,published,2024-10-17T08:43:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +b881f97e-115f-48a8-b502-afb4da3dd3f2,345182863,BELL CANADA,2025 Internship Program- Data Analytics & AI,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:02.642Z,"

             ​Req Id: 420056


            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


            Join us. You belong at Bell. 

             

            Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

             

            At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

             

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            Why join us?

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            • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
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            • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more. 
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            • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
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            • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
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            • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
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            • Develop your technical and leadership skills through formal and experiential training programs.
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            • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
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            What you’ll do

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            As an intern, you will support the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You’ll be a part of projects that expose you to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will include opportunities to offer insights that influence business decisions and technology investments across Bell.

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            What we’re looking for

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            Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here

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            • Data Scientist
            • +
            • Data Analyst
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            • Machine Learning Engineering
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            • Data Engineering
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            Requirements

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            You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

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            Technical skills (you have some of the following)

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            • You can analyze, process, and visualize complex data quickly.
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            • You have experience using SQL for data exploration and insights.
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            • You have knowledge of data analytics theory, including statistical analysis and quantitative and qualitative modeling.
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            • You are familiar with programming languages like Python, Scala, R, or similar.
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            • Some knowledge of analytical tools such as Looker, Kibana, Tableau, and Microstrategy.
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            • You have knowledge of machine learning and artificial intelligence concepts and their potential applications.
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            • You are aware of Agile and CI/CD methodologies in software development.
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            Leadership Skills

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            • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
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            • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
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            • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
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            • You gain the trust of your teams, being known for demonstrating fairness and respect.
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            • You promote belonging and are flexible, accountable and collaborative.
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            • You are committed to growing your skills and learning from others.
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            Applying is simple

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            Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

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            1.    Review our programs and indicate up to three role choices in your application.
            2.    Complete your video interview within 48 hours. 
            3.    If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
            4.    If selected from previous step, you will be invited to a virtual panel interview.

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            Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

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            Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

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            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec.

             

            Additional Information:
            Position Type: Management 
            Job Status: Intern 
            Job Location: Canada : Ontario : Mississauga || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal 
            Work Arrangement: Hybrid
            Application Deadline: 11/03/2024

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

             

            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            Created: Canada, ON, Mississauga

            #CampusAI24

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420056EXTERNALENCA/2025-Internship-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T19:19:33.589Z,False,0,28,110,https://talenthub.vectorinstitute.ai/jobs/345182863-2025-internship-program-data-analytics-ai-at-bell-canada,BECACA420056EXTERNALENCA,published,2024-10-05T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, 8ec41e59-21cd-4c1c-a3ac-f12dec8131be,346298728,Scotiabank,"Analyst, Competitive Intelligence and Product Analytics - Toronto",on_site,Canada : Ontario : Toronto,2024-10-14T16:31:02.311Z,"

            @@ -26146,7 +28346,7 @@ d03a1ab7-018f-46b4-ae58-28c19bb94fec,345808826,PwC,Data Architect Senior Manager
            • University degree in Business or a related discipline. Progression towards CFA designation would be an asset.
            • Demonstrated track record of resourcefulness, flexibility, strong organizational skills and keen attention to detail.
            • Solid understanding of the investment industry with a minimum 2 years of related experience, preferably in analytical roles.
            • High proficiency in MS Office suite (Excel, PowerPoint)
            • A keen interest in the asset management industry with demonstrated interest in competitive trends, product strategy and financial markets. You are highly curious and have a desire to continuously deepen industry knowledge and business impact.
            • Technically savvy, with a solid foundation in data analytics, experience using various data and research platforms such as Morningstar Direct is highly preferred
            • You embrace technology to improve the quality, quantity and reliability of reporting, insights and recommendations to empower business decisions.
            • Excellent analytical skills with the ability to synthesize large datasets and summarize key insights and recommendations from the data
            • Effective oral and written communication skills
            • Self-motivated, with a high degree of accountability. You thrive in a team environment and take a proactive approach to tackle any challenges or difficulties. Can-do attitude is a must.

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Competitive-Intelligence-and-Product-Analytics-Toronto-ON-M5H-0B4/585501217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-15T15:24:24.435Z,False,0,6,28,https://talenthub.vectorinstitute.ai/jobs/346298728-analyst-competitive-intelligence-and-product-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Competitive-Intelligence-and-Product-Analytics-Toronto-ON-M5H-0B4/585501217/,published,2024-10-14T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Competitive-Intelligence-and-Product-Analytics-Toronto-ON-M5H-0B4/585501217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-15T15:24:24.435Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/346298728-analyst-competitive-intelligence-and-product-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Competitive-Intelligence-and-Product-Analytics-Toronto-ON-M5H-0B4/585501217/,published,2024-10-14T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, ee27f194-089e-45d6-9869-97d5b93549a4,345813299,EY,Senior Consultant -Responsible AI-Technology Risk -Assurance,on_site,"Toronto, ON, Canada",2024-10-10T22:02:32.501Z,"

            Job description

            Requisition ID: 1527857

            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            @@ -26233,7 +28433,7 @@ ee27f194-089e-45d6-9869-97d5b93549a4,345813299,EY,Senior Consultant -Responsible

            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            -

            Apply now

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103701501/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:02:35.166Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/345813299-senior-consultant-responsible-ai-technology-risk-assurance-at-ey,,published,2024-10-10T22:02:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +

            Apply now

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103701501/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:02:35.166Z,False,0,5,33,https://talenthub.vectorinstitute.ai/jobs/345813299-senior-consultant-responsible-ai-technology-risk-assurance-at-ey,,published,2024-10-10T22:02:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, fdfd7d79-85be-4a9d-8030-03a0cabf0335,345813695,EY,Manager -Responsible AI-Technology Risk -Assurance,on_site,"Toronto, ON, Canada",2024-10-10T22:04:24.410Z,"

            Job description

            Requisition ID: 1527878

            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            @@ -26325,35 +28525,7 @@ fdfd7d79-85be-4a9d-8030-03a0cabf0335,345813695,EY,Manager -Responsible AI-Techno

            Diversity and Inclusion at EY

            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

            -

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Manager-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103711901/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:04:26.865Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/345813695-manager-responsible-ai-technology-risk-assurance-at-ey,,published,2024-10-10T22:04:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,No Degree,New Posting, -a8170e9a-abd2-4c57-b122-1c9b97652218,345809223,Shopify Inc.,Applied Machine Learning Engineers,full,Anywhere,2024-10-10T21:19:06.779Z,"

            About Shopify

            -

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            -

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            -

            -

            About you

            -

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            -

            Before you apply, consider if you can:

            - -

            About the role

            -

            Machine Learning Engineers at Shopify use extensive data to build products and create and fine-tune ML models. This has full-blown impact on merchants through first-of-their-kind financial tools, super-charged search and discovery, and novel conversion and ranking systems that connect merchants to buyers. (Phew.) There’s more: insights are shared back into Shopify and put directly into merchants’ hands in the form of highly reusable and interpretable code. This vastly improves the functionality of everything we do- making commerce smarter and more efficient for everyone.

            -

            Why you’ll love working at Shopify

            - -

            Ready to deploy your next breakthrough model? Join the team that’s making commerce better for everyone.

            ",,https://www.shopify.com/careers/applied-machine-learning-engineers_9c2c6ef6-f74b-4615-85ad-5236da915960?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:19:08.654Z,False,0,26,99,https://talenthub.vectorinstitute.ai/jobs/345809223-applied-machine-learning-engineers-at-shopify-inc,,published,2024-10-10T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Manager-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103711901/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:04:26.865Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/345813695-manager-responsible-ai-technology-risk-assurance-at-ey,,published,2024-10-10T22:04:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,No Degree,New Posting, 817b2ea9-5f29-4a72-8626-b94e6870b29c,346636859,CIBC,"Senior Analyst, Risk Analytics and Portfolio Management",on_site,"Ontario, Canada",2024-10-17T10:04:04.912Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            @@ -26408,7 +28580,7 @@ a8170e9a-abd2-4c57-b122-1c9b97652218,345809223,Shopify Inc.,Applied Machine Lear

            Job Location

            Toronto-81 Bay, 31st Floor

            Employment Type

            Regular

            Weekly Hours

            37.5

            -

            Skills

            Analytical Thinking, Business, Business Support, Computer Programming, Credit Risks, Finance, Microsoft Power Business Intelligence (BI), Nonlinear Regression, Python (Programming Language), Python Sqlite3, Regression Models, Risk Analysis, Risk Analytics, Risk Management, Risk Reporting, R Programming, Statistics, Structured Query Language (SQL), Tableau (Software), Teamwork
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analyst--Risk-Analytics-and-Portfolio-Management_2421076?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-16T16:15:33.330Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/346636859-senior-analyst-risk-analytics-and-portfolio-management-at-cibc,,published,2024-10-17T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

            Skills

            Analytical Thinking, Business, Business Support, Computer Programming, Credit Risks, Finance, Microsoft Power Business Intelligence (BI), Nonlinear Regression, Python (Programming Language), Python Sqlite3, Regression Models, Risk Analysis, Risk Analytics, Risk Management, Risk Reporting, R Programming, Statistics, Structured Query Language (SQL), Tableau (Software), Teamwork",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analyst--Risk-Analytics-and-Portfolio-Management_2421076?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-16T16:15:33.330Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/346636859-senior-analyst-risk-analytics-and-portfolio-management-at-cibc,,published,2024-10-17T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, c14fdf3f-5711-4290-b846-0489c23a43a5,347103001,Roche,Bioinformatics Programmer Analyst Intern,on_site,"Ontario, Canada",2024-10-21T08:58:03.346Z,"

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            @@ -26455,7 +28627,7 @@ c14fdf3f-5711-4290-b846-0489c23a43a5,347103001,Roche,Bioinformatics Programmer A

            Roche is an Equal Opportunity Employer.

            -",,https://careers.roche.com/global/en/job/202409-123566/Bioinformatics-Programmer-Analyst-Intern,feed-importer@jobboard.io,,,,2024-11-20T16:17:29.765Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/347103001-bioinformatics-programmer-analyst-intern-at-roche,,published,2024-10-21T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +",,https://careers.roche.com/global/en/job/202409-123566/Bioinformatics-Programmer-Analyst-Intern,feed-importer@jobboard.io,,,,2024-11-20T16:17:29.765Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/347103001-bioinformatics-programmer-analyst-intern-at-roche,,published,2024-10-21T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, dfd71fa9-40a3-4e00-8663-d9aa1af4d7d4,347118822,Scotiabank,Senior Analyst Financial Analytics and Business Intelligence- International Banking Finance (6 month,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.801Z,"

            @@ -26487,7 +28659,7 @@ dfd71fa9-40a3-4e00-8663-d9aa1af4d7d4,347118822,Scotiabank,Senior Analyst Financi

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst-Financial-Analytics-and-Business-Intelligence-International-Banking-Finance-%286-month-ON-M5H0B4/585653617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:11:25.747Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/347118822-senior-analyst-financial-analytics-and-business-intelligence-international-banking-finance-6-month-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst-Financial-Analytics-and-Business-Intelligence-International-Banking-Finance-%286-month-ON-M5H0B4/585653617/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst-Financial-Analytics-and-Business-Intelligence-International-Banking-Finance-%286-month-ON-M5H0B4/585653617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:11:25.747Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/347118822-senior-analyst-financial-analytics-and-business-intelligence-international-banking-finance-6-month-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst-Financial-Analytics-and-Business-Intelligence-International-Banking-Finance-%286-month-ON-M5H0B4/585653617/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, d9c967fc-d8fb-4fae-805d-dd211469dc85,346257780,Accenture,Responsible AI - Advisor Manager,on_site,"Toronto, ON, Canada",2024-10-14T08:44:02.199Z,"

            Job Description

            @@ -26572,7 +28744,7 @@ d9c967fc-d8fb-4fae-805d-dd211469dc85,346257780,Accenture,Responsible AI - Adviso
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239694_en&title=Responsible%20AI%20-%20Advisor%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:08:27.452Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/346257780-responsible-ai-advisor-manager-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239694_en&title=Responsible%20AI%20-%20Advisor%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:08:27.452Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/346257780-responsible-ai-advisor-manager-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, 51a5e494-16ae-48e5-87e5-261a121eeb6f,344972396,KPMG,Azure Lead Data Architect,on_site,"Toronto, Canada",2024-10-04T16:35:02.510Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            An Azure Lead Data Architect is responsible for designing, managing, and optimizing data architecture on the Microsoft Azure Cloud platform.


            What you will do

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-03T18:58:49.618Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/344972396-azure-lead-data-architect-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,published,2024-10-04T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-03T18:58:49.618Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/344972396-azure-lead-data-architect-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,published,2024-10-04T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, e410ac38-7429-4c74-88d3-015d4867ef92,347102858,Google,"Developer Relations, Platform AI",on_site,"Toronto, ON, Canada",2024-10-21T08:34:02.799Z,"

            Developer Relations, Platform AI

            @@ -26660,287 +28832,58 @@ e410ac38-7429-4c74-88d3-015d4867ef92,347102858,Google,"Developer Relations, Plat

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -",,https://www.google.com/about/careers/applications/jobs/results/73345749525373638-developer-relations-platform-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T16:14:08.208Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/347102858-developer-relations-platform-ai-at-google,,published,2024-10-21T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -ac0036ae-4d51-45ac-99ef-7dc88bbee1fe,346634430,NVIDIA,Senior GenAI Algorithms Engineer,on_site,"Ontario, Canada",2024-10-17T08:58:03.250Z,"
            -Senior GenAI Algorithms Engineer page is loaded
            -
            -

            Senior GenAI Algorithms Engineer

            -
            -
            -
            -
            -
            -
            locationsCanada, TorontoCanada, Remote
            -
            -
            -
            time typeFull time
            -
            -
            posted onPosted 4 Days Ago
            -
            -
            job requisition idJR1989668
            -
            -
            -
            -

            We are now looking for a Senior Gen AI Algorithms Engineer! NVIDIA is seeking engineers to design, develop and optimize Artificial Intelligence solutions to diverse real-world problems. If you have a strong understanding of deep learning and in particular large language models and their multimodal variants, then this role may be a great fit for you! Collaborate and interact with internal partners, users, and members of the open source community to analyze, define and implement highly optimized AI algorithms. The scope of these efforts includes a combination of implementing new algorithms, performance/accuracy tuning and analysis, defining APIs, and analyzing functionality coverage to build larger, coherent toolsets and libraries. The ability to work in a multifaceted, product-centric environment with excellent interpersonal skills are required, to be successful in this role.

            -

            -

            What you’ll be doing:

            -
              -
            • Contribute to the cutting-edge open source NeMo framework

            • -
            • Develop and maintain SOTA GenAI models (e.g., large language models (LLMs), multimodal LLMs)

            • -
            • Tackle large-scale distributed systems capable of performing end-to-end AI training and inference-deployment (data fetching, pre-processing, orchestrate and run model training and tuning, model serving)

            • -
            • Analyze, influence, and improve AI/DL libraries, frameworks and APIs according to good engineering practices

            • -
            • Research, prototype, and develop effective tools and infrastructure pipelines

            • -
            • Publish innovative results on Github and scientific publications

            • -
            -

            -

            What we need to see:

            -
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            • A PhD or Master\'s Degree (or equivalent experience) and 5+ years of industry experience in Computer Science, AI, Applied Math, or related field

            • -
            • Strong mathematical fundamentals and AI/DL algorithms skills or experience

            • -
            • Excellent programming, debugging, performance analysis, test design and documentation skills

            • -
            • Experience with AI/DL Frameworks (e.g. PyTorch, JAX)

            • -
            • Excellent Python programming skills

            • -
            -

            -

            Ways to stand out from the crowd:

            -
              -
            • Prior experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)

            • -
            • Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning

            • -
            • Hands-on experience with inference and deployment environments would be an asset (e.g. TRT, ONNX, Triton)

            • -
            • Knowledge of GPU/CPU architecture and related numerical software

            • -
            -

            -

            The base salary range is 116,250 CAD - 247,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
            -

            You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

            -

            -
            -

            -

            -
            -
            -
            -
            -
            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-GenAI-Algorithms-Engineer_JR1989668?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-11-16T16:13:08.654Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/346634430-senior-genai-algorithms-engineer-at-nvidia,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +",,https://www.google.com/about/careers/applications/jobs/results/73345749525373638-developer-relations-platform-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T16:14:08.208Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/347102858-developer-relations-platform-ai-at-google,,published,2024-10-21T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, 0f2c7a89-d860-40b2-9329-c057636c03a2,343713799,Magna International,"Manager, Data Management Operations",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2024-09-26T16:41:03.294Z,"
            -

            About the Role

            -
            -

            -

            Supplier Management provides assessment, standards, support, control, intelligence and reporting functions to drive resilience and supplier performance Management within our Supply chain. This includes a governance within Magna supply chain to meet compliance and regulatory requirements. Supplier management drives resilience and performance management of our supply chain, which includes the core supplier scorecard ratings of Financial, Commercial, Operational Resilience, Environmental Social Governance, Compliance and regulatory requirements.

            -

            -

            The Manager, Data Management Operations, will report directly to the VP and work closely with all staff, particularly the Regional Managers and Purchasing Leads. The Manager will lead the operating model supporting the Supplier Management leaders & coordinating support to the Group & Corp operational teams. There is an expectation for value-add input to improve overall operating efficiencies. Some tasks include controlling the operations through standardized guidelines, checking, and determining schedules, ad hoc analysis & reports, communicating, data analytics, coordinating, and organizing the department.

            -
            -
            -
            -

            Your Responsibilities

            -
            -

            -
            • Supplier Management functional operation lead driving the governance of the supplier management function.
            • Ensures administration, operations & organization of the department, globally, is cohesive, efficient & effective. A PMO for the operations and execution of transformational elements of the Supplier Management team and integration/network model to the groups.
            • Ensures uploading, tracking, maintaining, and archiving & retrieving of completed data & review work files into databases, interfaces, and their related systems.
            • Ensure compliance with set standards such as travel for staff according to departmental guidelines and the Magna Travel Policy.
            • Provides routine standard & ad hoc KPIs, statistics and reports.
            • Suggests practical solutions, alternatives, and improvements of the supplier management execution of resilience, supplier performance management and adherence to supply chain regulatory and compliance requirements achievement.
            • Provides consistent regional & global support and engagement to Magna corporate, cross functional and group stakeholders & suppliers, fostering good working relationships.
            • Assists with other various ad-hoc & cross-functional risk management projects and data analytics as identified.
            • Organize, aid, track, analyze, report & advise on the regional and global budgetary results, supplier management processes, Supplier Management systems and tools development.
            • -
            -
            -
            -
            -

            Who we are looking for

            -
            -

            -
            • Minimum of 7-10 years of related work experience.
            • Comprehensive understanding of Microsoft suite of applications, Power BI & other analysis & reporting applications.
            • Training & or experience in key manufacturing elements such as quality, logistics, trade, tooling & processes.
            • Experience working with large databases with exposure to an IT professional interface to develop solutions.
            • -
            -
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            Your preferred qualifications

            -
            -

            -
            • Demonstrates excellent knowledge of Microsoft office software including Word, Excel, PowerPoint, Outlook, also Power BI, database applications and management platforms such as GSA, ERFX & QPF etc.
            • General understanding of Compliance, Supply Chain/Procurement, Operations, Environmental and Health & Safety issues.
            • Accommodations for disabilities in relation to the job selection process are available upon request.
            • Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.
            • -
            -
            -
            -
            -

            What we offer

            -

            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

            -
            -
            -

            Site Benefits

            -
            -

            -
            • Hybrid work policy
            • Wellness programs and events
            • On-site cafeteria
            • Parking for electric vehicles
            • Access to private park for employees & their families
            • -
            -
            -
            -
            -

            Awareness. Unity. Empowerment.

            -

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            -
            -
            ",,https://jobs.magna.com/job/Aurora-Manager%2C-Data-Management-Operations-ONTA-L4G-0G9/584471617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-03T18:38:27.208Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/343713799-manager-data-management-operations-at-magna-international,https://jobs.magna.com/job/Aurora-Manager%2C-Data-Management-Operations-ONTA-L4G-0G9/584471617/,published,2024-09-26T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, -ab98eb8e-f911-4141-b432-81dc37623e82,342896319,Cohere AI,"Member of Technical Staff, RAG",on_site,"Toronto, ON, Canada",2024-09-20T16:41:02.139Z,"
            -
            Who are we?
            -
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            -

            -
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            -

            -
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            -

            -
            Join us on our mission and shape the future!
            -

            -
            Why this role?
            -

            -
            -Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. -
            -

            -
            Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
            -
            -
            -

            As a Member of Technical Staff, you will:

            - -
            -
            -

            You may be a good fit if you have:

            - -
            -
            -
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            -

            -
            -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
            -

            -
            Our Perks:
            -
            🤝 An open and inclusive culture and work environment
            -
            🧑‍💻 Work closely with a team on the cutting edge of AI research
            -
            🍽 Free daily lunch
            -
            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
            -
            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being
            -
            🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends
            -
            ✈️ Paid vacation
            -
            ",,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,feed-importer@jobboard.io,,,,2024-10-23T17:08:49.495Z,False,0,13,62,https://talenthub.vectorinstitute.ai/jobs/342896319-member-of-technical-staff-rag-at-cohere-ai,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,published,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -3e53ca93-c5ce-4bb6-a974-dc70f2889c77,345758797,Thomson Reuters,Technical Product Manager (ML/NLP),on_site,"Ontario, Canada",2024-10-10T08:27:02.745Z,"
            JOB DESCRIPTION
            -
            -
            -
            -

            In response to Thomson Reuters expanding CoCounsel initiative, Thomson Reuters Labs is seeking a Technical Product Manager to join its Legal Technology team. This individual will drive the vision and execution for one of the CoCounsel Machine Learning teams and will product manage for a cross functional team of technical professionals, including applied scientists and research engineers.

            -

            -

            About CoCounsel

            -
            -

            -

            CoCounsel is Thomson Reuters’ legal AI assistant, designed to facilitate the complex and often tedious workflows of legal professionals from research to contract drafting and review. CoCounsel is built to perform a wide range of tasks including document review, summarization, contract compliance, and event timeline organization. It is capable of processing vast repositories of documents across many domains and quickly condensing critical information to answer valuable user questions. The research teams within Labs identify, build, and refine many of the skills that make up this AI assistant. The legal technology team is currently focused on developing a set of cutting-edge document review and drafting skills to serve both transactional and litigation use cases. Come join this forward-thinking team to innovate how hundreds of thousands of lawyers across the world practice law and to help pave the way forward for the future of legal technology.

            -

            -

            Learn More: https://www.thomsonreuters.com/en/artificial-intelligence.html

            -

            -

            About Labs

            -

            -

            Thomson Reuters Labs is the dedicated applied research division of Thomson Reuters. We are focused on the research, development, and application of AI and emerging trends in technologies. Working collaboratively with our stakeholders, we experiment, prototype, test, and deliver solutions in the pursuit of creating smarter and more valuable tools for our customers. We aim to drive innovation across the fields of legal, tax, and regulation, harnessing the power of proprietary big data and emerging technologies to solve complex real-world challenges. We are looking for individuals to join our team who are curious about solving big problems, passionate about continuous innovation and experienced with the end-to-end model development lifecycle.

            -

            -

            Learn More: https://www.thomsonreuters.com/en/careers/our-jobs/join-thomson-reuters-labs.html

            -
            +

            About the Role

            +
            +

            +

            Supplier Management provides assessment, standards, support, control, intelligence and reporting functions to drive resilience and supplier performance Management within our Supply chain. This includes a governance within Magna supply chain to meet compliance and regulatory requirements. Supplier management drives resilience and performance management of our supply chain, which includes the core supplier scorecard ratings of Financial, Commercial, Operational Resilience, Environmental Social Governance, Compliance and regulatory requirements.

            +

            +

            The Manager, Data Management Operations, will report directly to the VP and work closely with all staff, particularly the Regional Managers and Purchasing Leads. The Manager will lead the operating model supporting the Supplier Management leaders & coordinating support to the Group & Corp operational teams. There is an expectation for value-add input to improve overall operating efficiencies. Some tasks include controlling the operations through standardized guidelines, checking, and determining schedules, ad hoc analysis & reports, communicating, data analytics, coordinating, and organizing the department.

            -

            -

            About the role

            -

            -

            In this opportunity as Technical Product Manager, you will:

            -

            -
            • Define, socialize, drive and report on product Objectives and Key Results (OKRs) and their corresponding Key Performance Indicators (KPIs).

            -
            • Assemble technical product vision, roadmaps, define epics and features, collect and review user feedback, refine user requirements, prioritize, drive execution, and adjust delivery schedules as needed to drive progress towards OKRs.

            -
            • Partner with leadership to plan for adequate team resourcing, effective team collaboration, and to properly estimate and communicate delivery timelines.

            -
            • Ensure your team is aligned with partnering product, engineering, content, design, and subject matter expert teams.

            -
            • Identify and implement communication patterns that facilitate collaboration while protecting team focus.

            -
            • Provide technical guidance to partner product teams during all phases of development including but not limited to solution brainstorming, prioritization, technical feasibility scoping, and UX research/design.

            -
            • Balance factors such as cost, time to market and resourcing to optimize iterative value delivery for customers.

            +
            +

            Your Responsibilities

            -

            -

            Responsibilities

            -

            -
            • Develop and articulate a clear technical vision and product strategy that aligns with business objectives and is informed by a deep understanding of user needs, market trends, and technology advancements.

            -
            • Lead the creation, maintenance, and execution of the product roadmap, ensuring it reflects priorities, market opportunities, and competitive positioning.

            -
            • Foster strong, collaborative relationships with product, engineering, design, and subject matter expert teams to ensure alignment on and effective execution of product delivery.

            -
            • Establish a strong partnership with your Product Manager peers and develop the overall product requirements – both for the team working on application development and AI as a Service development.

            -
            • Establish a strong partnership with your TPM peers to learn from each other’s team retrospectives.

            -
            • Serve as a key liaison, communicating and translating between technical teams and non-technical stakeholders to drive shared understanding and decision-making.

            +

            +
            • Supplier Management functional operation lead driving the governance of the supplier management function.
            • Ensures administration, operations & organization of the department, globally, is cohesive, efficient & effective. A PMO for the operations and execution of transformational elements of the Supplier Management team and integration/network model to the groups.
            • Ensures uploading, tracking, maintaining, and archiving & retrieving of completed data & review work files into databases, interfaces, and their related systems.
            • Ensure compliance with set standards such as travel for staff according to departmental guidelines and the Magna Travel Policy.
            • Provides routine standard & ad hoc KPIs, statistics and reports.
            • Suggests practical solutions, alternatives, and improvements of the supplier management execution of resilience, supplier performance management and adherence to supply chain regulatory and compliance requirements achievement.
            • Provides consistent regional & global support and engagement to Magna corporate, cross functional and group stakeholders & suppliers, fostering good working relationships.
            • Assists with other various ad-hoc & cross-functional risk management projects and data analytics as identified.
            • Organize, aid, track, analyze, report & advise on the regional and global budgetary results, supplier management processes, Supplier Management systems and tools development.
            • +
            +
            +
            +

            Who we are looking for

            -
            • Cultivate a culture of innovation and continuous learning within the team, encouraging agile practices and a mindset that adapts to change and embraces new opportunities for growth.

            -
            • Champion agile methodologies, facilitate cross-functional meetings, and support the team in overcoming obstacles to ensure on-time, high-quality product delivery.

            -
            • Guide the end-to-end development process of products and services, from ideation through launch and lifecycle management, balancing business requirements with technical feasibility and user experience.

            -
            • Utilize technical expertise to drive design and implementation of user-centric features, leveraging analytics, user research, and feedback mechanisms to continuously improve the user experience.

            -
            • Monitor market and technology trends to proactively adapt product features, ensuring the product stays ahead of industry developments and maintains a competitive edge.

            -
            • Oversee the product feature development and release process, establishing standards, processes, and validation practices that ensure quality and compliance.

            -
            • Continuously assess and prioritize product enhancements and decommissioning, ensuring the product suite remains relevant and streamlined.

            -
            • Stay close to your end users, their JTBD and feedback even if they are not your direct users.

            -
            • Manage prioritization of features in tandem with other commitments such as cost optimization, time to market, skill and talent of available resources, and operation efficiency.

            -

            -
            -

            About You

            You\'re a fit for the role of Technical Product Manager, if your background includes:

            -

            +

            +
            • Minimum of 7-10 years of related work experience.
            • Comprehensive understanding of Microsoft suite of applications, Power BI & other analysis & reporting applications.
            • Training & or experience in key manufacturing elements such as quality, logistics, trade, tooling & processes.
            • Experience working with large databases with exposure to an IT professional interface to develop solutions.
            • +
            -

            Basic Qualifications

            -

            -
            • Bachelor’s degree in computer science, engineering, machine learning or related field

            -
            • At least 3 years proven track record in technical product development, with a focus on applied AI research and end-to-end delivery of AI-driven products.

            -
            • At least 3 years of demonstrated expertise in building and deploying Machine Learning, Natural Language Processing, or Computer Vision systems, from concept to production.

            -
            • Exceptional written and verbal communication skills, capable of presenting complex information clearly to diverse audiences and articulating a compelling strategic vision.

            -
            • Demonstrated ability to build relationships and influence within a matrix organization.

            -
            • Experience with agile project management and scrum methodologies.

            -
            • Strong analytical and quantitative skills, utilizing data and metrics to inform decisions.

            +
            +

            Your preferred qualifications

            -
            • Experience collaborating with cross-functional teams (ML science, Engineering, UXR, Design, Marketing) to balance trade-offs in technologies and execution strategies.

            -
            • High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.

            -
            • Experience balancing short-term tactical execution with strategic long-term vision.

            -

            -

            Preferred Qualifications

            -
            • At least 1 year of experience owning a Software as a Service, Machine Learning Platform or Human in the Loop products.

            -
            • Experience coaching and developing a team of indirect reports.

            -
            • Data-driven decision making.

            -
            -
            • Experience writing and publishing research papers at conferences and workshops.

            -


            #LI-MW1

            +

            +
            • Demonstrates excellent knowledge of Microsoft office software including Word, Excel, PowerPoint, Outlook, also Power BI, database applications and management platforms such as GSA, ERFX & QPF etc.
            • General understanding of Compliance, Supply Chain/Procurement, Operations, Environmental and Health & Safety issues.
            • Accommodations for disabilities in relation to the job selection process are available upon request.
            • Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.
            • +
            -

            -

            What\'s in it For You?
            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            -
              -
            • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

            • -
            • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

            • -
            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

            • -
            • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

            • -
            • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

            • -
            • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

            • +
              +

              What we offer

              +

              At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

              +
              +
              +

              Site Benefits

              +
              +

              +
              • Hybrid work policy
              • Wellness programs and events
              • On-site cafeteria
              • Parking for electric vehicles
              • Access to private park for employees & their families
              -

              -

              -

              -

              -

              -


              Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

              -

              -

              We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

              -

              -

              Accessibility

              -

              -

              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

              -

              -

              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

              -

              -

              -

              Protect yourself from fraudulent job postings click here to know more.

              -

              -

              More information about Thomson Reuters can be found on https://thomsonreuters.com.

              -
              ",,https://careers.thomsonreuters.com/us/en/job/JREQ178729/Technical-Product-Manager-ML-NLP?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-09T15:54:16.961Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/345758797-technical-product-manager-ml-nlp-at-thomson-reuters,,published,2024-10-10T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, +
              +
            +
            +

            Awareness. Unity. Empowerment.

            +

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            +
            +
            ",,https://jobs.magna.com/job/Aurora-Manager%2C-Data-Management-Operations-ONTA-L4G-0G9/584471617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-11-03T18:38:27.208Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/343713799-manager-data-management-operations-at-magna-international,https://jobs.magna.com/job/Aurora-Manager%2C-Data-Management-Operations-ONTA-L4G-0G9/584471617/,published,2024-09-26T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, d18237a7-f19f-4428-91b4-37274c8a9960,345423549,Cohere AI,"Director, Engineering Fellow NLP",on_site,"Toronto, ON, Canada",2024-10-07T16:41:01.582Z,"
            Who are we?
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            @@ -27006,7 +28949,7 @@ d18237a7-f19f-4428-91b4-37274c8a9960,345423549,Cohere AI,"Director, Engineering
            ✈️ 6 weeks of vacation

            Note: This post is co-authored by both Cohere humans and Cohere technology.
            -
            ",,https://jobs.lever.co/cohere/bd9403a8-33e1-47a1-b516-e606883c2d0a,feed-importer@jobboard.io,,,,2024-11-06T17:20:08.458Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/345423549-director-engineering-fellow-nlp-at-cohere-ai,https://jobs.lever.co/cohere/bd9403a8-33e1-47a1-b516-e606883c2d0a,published,2024-10-07T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Director,Bachelors Degree,New Posting, +
            ",,https://jobs.lever.co/cohere/bd9403a8-33e1-47a1-b516-e606883c2d0a,feed-importer@jobboard.io,,,,2024-11-06T17:20:08.458Z,False,0,3,38,https://talenthub.vectorinstitute.ai/jobs/345423549-director-engineering-fellow-nlp-at-cohere-ai,https://jobs.lever.co/cohere/bd9403a8-33e1-47a1-b516-e606883c2d0a,published,2024-10-07T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Director,Bachelors Degree,New Posting, d6745be1-42e7-4c63-802a-145db3b900c9,345788101,Deloitte,Senior Engineer - Data Governance and Quality - Deloitte Global Technology,on_site,"Ontario, Canada",2024-10-10T16:36:03.543Z,"

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            127394
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Calgary, AB; Vancouver, BC

            @@ -27064,7 +29007,7 @@ d6745be1-42e7-4c63-802a-145db3b900c9,345788101,Deloitte,Senior Engineer - Data G

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Engineer-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1220487500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T20:55:39.740Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/345788101-senior-engineer-data-governance-and-quality-deloitte-global-technology-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Engineer-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1220487500/,published,2024-10-10T16:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Engineer-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1220487500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T20:55:39.740Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/345788101-senior-engineer-data-governance-and-quality-deloitte-global-technology-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Engineer-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1220487500/,published,2024-10-10T16:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, e0a042e2-3776-4eed-bfa8-69a4e26e3128,345809211,Shopify Inc.,Analytics Engineers,full,Anywhere,2024-10-10T21:17:09.969Z,"

            About Shopify

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            @@ -27094,7 +29037,7 @@ e0a042e2-3776-4eed-bfa8-69a4e26e3128,345809211,Shopify Inc.,Analytics Engineers,
          • Work with excellent peers. Working alongside other data engineers allows you to challenge each other (and peer-vet analysis) to set the standard for excellence, and work with elite levels of care to keep the quality high.
          • -

            Ready to turn raw data into product gold? Join the team that’s making commerce better for everyone.

            ",,https://www.shopify.com/careers/analytics-engineers_86a43b4a-3193-4cee-972a-faea0b787eb2?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:17:12.429Z,False,0,6,46,https://talenthub.vectorinstitute.ai/jobs/345809211-analytics-engineers-at-shopify-inc,,published,2024-10-10T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +

            Ready to turn raw data into product gold? Join the team that’s making commerce better for everyone.

            ",,https://www.shopify.com/careers/analytics-engineers_86a43b4a-3193-4cee-972a-faea0b787eb2?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:17:12.429Z,False,0,6,47,https://talenthub.vectorinstitute.ai/jobs/345809211-analytics-engineers-at-shopify-inc,,published,2024-10-10T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, 6ade8190-4fea-4fc2-9ed7-8e694d131e47,345757081,Loblaw Companies Ltd,"Senior Analyst, Risk",on_site,"Ontario, Canada",2024-10-10T08:19:01.403Z,"

            Referred applicants should not apply directly to this role.

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            @@ -27146,7 +29089,7 @@ e0a042e2-3776-4eed-bfa8-69a4e26e3128,345809211,Shopify Inc.,Analytics Engineers,

            -
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Senior-Analyst--Risk_R2000509940?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-11-09T15:49:54.274Z,False,0,4,26,https://talenthub.vectorinstitute.ai/jobs/345757081-senior-analyst-risk-at-loblaw-companies-ltd,,published,2024-10-10T08:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lake-Shore-Blvd-W-Toronto-ON/Senior-Analyst--Risk_R2000509940?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-11-09T15:49:54.274Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/345757081-senior-analyst-risk-at-loblaw-companies-ltd,,published,2024-10-10T08:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, be3d8904-ba26-4ab3-add5-b9b4b6f0a8a4,345788004,Scotiabank,"Manager, Fraud Analytics",on_site,Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2024-10-10T16:31:02.155Z,"

            @@ -27165,7 +29108,7 @@ be3d8904-ba26-4ab3-add5-b9b4b6f0a8a4,345788004,Scotiabank,"Manager, Fraud Analyt
            • A University degree in statistics, mathematics or computer science
            • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
            • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
            • Experience with PRM or similar fraud platform strongly desired
            • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
            • Strong communication skills essential with clients, vendors and management
            • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization

            -

            Location(s): Canada : Ontario : Scarborough || Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Scarborough-Manager%2C-Fraud-Analytics-ON-M1K5L1/585393617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T21:00:21.779Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/345788004-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Scarborough-Manager%2C-Fraud-Analytics-ON-M1K5L1/585393617/,published,2024-10-10T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +

            Location(s): Canada : Ontario : Scarborough || Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Scarborough-Manager%2C-Fraud-Analytics-ON-M1K5L1/585393617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-09T21:00:21.779Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/345788004-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Scarborough-Manager%2C-Fraud-Analytics-ON-M1K5L1/585393617/,published,2024-10-10T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, 429570f7-029a-488f-a6c7-1963338272b2,344113978,Google,"Software Developer III, AI/Machine Learning",on_site,"Toronto, ON, Canada",2024-09-29T08:34:02.173Z,"

            Software Developer III, AI/Machine Learning

            @@ -27266,7 +29209,7 @@ be3d8904-ba26-4ab3-add5-b9b4b6f0a8a4,345788004,Scotiabank,"Manager, Fraud Analyt

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -",,https://www.google.com/about/careers/applications/jobs/results/86101750351569606-software-developer-iii-aimachine-learning?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-03T18:40:27.951Z,False,0,8,30,https://talenthub.vectorinstitute.ai/jobs/344113978-software-developer-iii-ai-machine-learning-at-google,,published,2024-09-29T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, +",,https://www.google.com/about/careers/applications/jobs/results/86101750351569606-software-developer-iii-aimachine-learning?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-03T18:40:27.951Z,False,0,9,31,https://talenthub.vectorinstitute.ai/jobs/344113978-software-developer-iii-ai-machine-learning-at-google,,published,2024-09-29T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, 0839d6e3-0568-4b02-999c-a23f1ad0d3db,345809286,Layer 6,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2024-10-10T21:29:16.527Z,"

            Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

            Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

            We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

            @@ -27304,84 +29247,95 @@ be3d8904-ba26-4ab3-add5-b9b4b6f0a8a4,345788004,Scotiabank,"Manager, Fraud Analyt
          • Self-motivated and demonstrated ability to take independent action to delivery results.
          • Highly developed critical thinking, analytical and problem-solving skills
          • Strong verbal and written communication skills, with the ability to work effectively across teams
          • -",,https://layer6.ai/careers/#Machine-Learning-Engineer-617,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-11-09T21:29:18.434Z,False,0,30,117,https://talenthub.vectorinstitute.ai/jobs/345809286-machine-learning-engineer-at-layer-6,,published,2024-10-10T21:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -14295943-dc2d-4fe3-a5ba-a62cc2a77bbe,343307748,Deloitte,Senior Business Analyst - Data Governance and Quality - Deloitte Global Technology,on_site,"Ontario, Canada",2024-09-23T16:35:03.305Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            127149
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Kitchener, ON; Ottawa, ON; Vancouver, BC; Victoria, BC; Winnipeg, MB

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            --

            -

            Are you a committed business analyst with experience in CRM implementation? Do you thrive in a fast-paced, agile environment? If so, check out this exciting opportunity!

            -
            -
            -

            What will your typical day look like?

            -
            -

            The BA is an individual contributor that provides specialized technical and functional expertise in data governance and data quality. The person in this role will be applying strategic and analytical skills to create value to the Global organization implementing technological solutions related to Data Management. The role is focused in requirements elicitation, functional configuration of solutions and execution of functional and non-functional testing.

            -

            Role Responsibilities include:

            -
            • Hands on management of business and functional requirements elicitation activities, requirements/user stories documentation and socialization. Identification of problem areas, gaps or conflicts derived from gathered information.
            • Functional implementation of glossaries, data dictionaries, metadata management processes, data quality policies and rules and data integration processes.
            • Communicate with project managers, application developers, subject matter experts, end users and executives acting as liaison between business and technical areas.
            • Prepare documentation on expected benefits, use cases, as-is and to-be process, workflows, data flows, final technical solution and end-user adoption plans/guides for area.
            • At times leads a multifunctional team towards small projects/initiatives.
            • Organize and facilitate user acceptance testing with business and external technical stakeholders.
            • Support development and testing activities, clarifying requirements and ensuring alignment throughout the entire development lifecycle.
            • Develop and conduct group and end user training.
            • Generate test plans, test cases and execute functional and non-functional IT Quality Assurance testing as part of software development processes.
            • Maintain and provide accurate testing status reports during testing phases.
            • Provide input and help in the generation of technical user guides, operational documentation and support scripts
            • -
            -
            -
            -
            -

            About the team

            -


            Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in ""what is"" but rather ""what can be"" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived

            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            In this role, you bring:

            -
            • A bachelor’s Degree on Information Technology or Computer Science

            • Minimum three (3) years working experience in information technology (IT) area.

            • Minimum five (5) years working experience in data management, ideally data governance, data quality and data integration.

            • At least three (3) years of demonstrated and relevant experience in data products, web services, SQL and ETL testing

            • Strong technical acumen in data management functions, specifically data governance, data quality and data integration (ETL solutions)

            • Robust knowledge in the following Informatica IDMC components:

            • Cloud Data Governance and Catalog (CDGC): Business Assets, Technical Assets, Hierarchy, Relationships, Dashboards

            • Cloud Data Integration (CDI) & Cloud Data Quality (CDQ) & Cloud Data Profiling (CDP): Rules, Mappings, Mapping Tasks, Data Profiling, Occurrences

            • Metadata Command Center (MCC): Job Monitoring, Asset Trends, Metadata Models

            • Understanding of QA methods, testing approaches, frameworks, and methodologies

            • Demonstrated experience with Software Development Lifecycle methodologies, including Agile and waterfall.

            • Expert in SQL using Microsoft and Oracle relational databases

            • Familiar with API Testing. Experience with SOAP UI is a plus

            • Certification and experience with TOSCA for testing automation is a plus

            • Familiarity with Azure DevOps is desirable.

            • Analytically and detail oriented. Experience in problem-solving complex problems, working along with multifunctional teams

            • -
            -
            -
            -
            -

            Total Rewards

            -


            The salary range for this position is $58,000 - $96,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Business-Analyst-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1211601200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:47:04.906Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/343307748-senior-business-analyst-data-governance-and-quality-deloitte-global-technology-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Business-Analyst-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1211601200/,published,2024-09-23T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -ce49838f-ba2c-4248-b1a2-f30ec11957d8,343307673,Scotiabank,"Director, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.078Z,"

            -

            -

            -

            -

            Requisition ID: 206809

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Join a purpose driven winning team, acted to results, in an inclusive and high-performing culture.

            -

            -

            Reporting to the VP, Canadian Secured Lending, the Director will work closely with senior management, GRM colleagues, business line leads, and a diverse set of stakeholders to generate insights and deliver strategic recommendations. You will also drive analyses, oversight, and strategic thought leadership for Mortgage, HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

            -

            Job Responsibilities:

            -

            -
            • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends; collaborate with the Director, Secured Lending Policy, and Governance and GRM colleagues to establish recommendations based on data-driven observations and analyses.

            • Lead sensitivity analyses to essay performance benchmarks against various external environments; lead cross-functional teams to establish scenario frameworks and readiness playbooks by identifying and prioritizing levers.

            • Senior Executive assist for performance trending across portfolio, and preparation of strategic communication materials for Canada Credit Committee and Senior Credit Committee Meetings as required.

            • Complete competitive / business environment research and benchmarking to find emerging issues and trends and assess the impact / implications of those trends.

            • Measure and monitor credit score and policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on autonomous analysis of the risk-return trade-off.

            • Triangulate internal data analyses with macro-economic and consumer trend reports to define customer vulnerability frameworks; establish an integrated set of performance benchmarks to continuously monitor segment performance.

            • Collaborate with GRM colleagues to improve portfolio monitoring and account management capabilities through integration of new models and frameworks.

            • Assist annual strategic planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

            • Lead analyses and strategy development for Retail Credit Risk initiatives related to Capital optimization and Risk Adjusted Return on Capital

            • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

            • +
            ",,https://layer6.ai/careers/#Machine-Learning-Engineer-617,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-11-09T21:29:18.434Z,False,0,32,122,https://talenthub.vectorinstitute.ai/jobs/345809286-machine-learning-engineer-at-layer-6,,published,2024-10-10T21:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a8170e9a-abd2-4c57-b122-1c9b97652218,345809223,Shopify Inc.,Applied Machine Learning Engineers,full,Anywhere,2024-10-10T21:19:06.779Z,"

            About Shopify

            +

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            +

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            +

            +

            About you

            +

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            +

            Before you apply, consider if you can:

            +
              +
            • Care deeply about what you do and about making commerce better for everyone
            • +
            • Excel by seeking professional and personal hypergrowth
            • +
            • Keep up with an unrelenting pace (the week, not the quarter)
            • +
            • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
            • +
            • Bring critical thought and opinion
            • +
            • Embrace differences and disagreement to get shit done and move forward
            • +
            • Work digital-first for your daily work
            -

            Job Requirements:

            -

            -
            • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a master’s degree in business, statistics, economics, mathematics, management sciences or analytics.

            • 10 years of relevant work experience in credit risk and analytics

            • Exceptional problem-solving skills, with ability to manage ambiguity.

            • Strategic orientation with strong innovative and integrative acumen

            • Strong analytical skills and ability to create and interpret information/data required to monitor the performance.

            • Able to effectively manage relationships across the Bank.

            • Excellent Executive communication and storyboarding skills

            • Strong leadership and social skills that facilitate an effective team environment.

            • Demonstrated commitment to coaching and developing staff.

            • Highly organized with demonstrated ability to make decisions in time pressured environment

            • +

              About the role

              +

              Machine Learning Engineers at Shopify use extensive data to build products and create and fine-tune ML models. This has full-blown impact on merchants through first-of-their-kind financial tools, super-charged search and discovery, and novel conversion and ranking systems that connect merchants to buyers. (Phew.) There’s more: insights are shared back into Shopify and put directly into merchants’ hands in the form of highly reusable and interpretable code. This vastly improves the functionality of everything we do- making commerce smarter and more efficient for everyone.

              +

              Why you’ll love working at Shopify

              +
                +
              • +Solving complex problems at a serious scale. Dive into massive datasets (petabytes, not terabytes) and build and train models that impact millions of users worldwide.
              • +
              • +All-in on AI. Utilize GPU optimization, distributed clusters, and the latest ML frameworks to build groundbreaking solutions.
              • +
              • +Ethical by design. Machine learning can make commerce better — and runs the risk of making it worse, too. Carve out how models and algorithms embed in our product to truly support our mission.
              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-23T17:35:54.696Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/343307673-director-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449617/,published,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +

            Ready to deploy your next breakthrough model? Join the team that’s making commerce better for everyone.

            ",,https://www.shopify.com/careers/applied-machine-learning-engineers_9c2c6ef6-f74b-4615-85ad-5236da915960?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:19:08.654Z,False,0,28,111,https://talenthub.vectorinstitute.ai/jobs/345809223-applied-machine-learning-engineers-at-shopify-inc,,published,2024-10-10T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +ac0036ae-4d51-45ac-99ef-7dc88bbee1fe,346634430,NVIDIA,Senior GenAI Algorithms Engineer,on_site,"Ontario, Canada",2024-10-17T08:58:03.250Z,"
            +Senior GenAI Algorithms Engineer page is loaded
            +
            +

            Senior GenAI Algorithms Engineer

            +
            +
            +
            +
            +
            +
            locationsCanada, TorontoCanada, Remote
            +
            +
            +
            time typeFull time
            +
            +
            posted onPosted 7 Days Ago
            +
            +
            job requisition idJR1989668
            +
            +
            +
            +

            We are now looking for a Senior Gen AI Algorithms Engineer! NVIDIA is seeking engineers to design, develop and optimize Artificial Intelligence solutions to diverse real-world problems. If you have a strong understanding of deep learning and in particular large language models and their multimodal variants, then this role may be a great fit for you! Collaborate and interact with internal partners, users, and members of the open source community to analyze, define and implement highly optimized AI algorithms. The scope of these efforts includes a combination of implementing new algorithms, performance/accuracy tuning and analysis, defining APIs, and analyzing functionality coverage to build larger, coherent toolsets and libraries. The ability to work in a multifaceted, product-centric environment with excellent interpersonal skills are required, to be successful in this role.

            +

            +

            What you’ll be doing:

            +
              +
            • Contribute to the cutting-edge open source NeMo framework

            • +
            • Develop and maintain SOTA GenAI models (e.g., large language models (LLMs), multimodal LLMs)

            • +
            • Tackle large-scale distributed systems capable of performing end-to-end AI training and inference-deployment (data fetching, pre-processing, orchestrate and run model training and tuning, model serving)

            • +
            • Analyze, influence, and improve AI/DL libraries, frameworks and APIs according to good engineering practices

            • +
            • Research, prototype, and develop effective tools and infrastructure pipelines

            • +
            • Publish innovative results on Github and scientific publications

            • +
            +

            +

            What we need to see:

            +
              +
            • A PhD or Master\'s Degree (or equivalent experience) and 5+ years of industry experience in Computer Science, AI, Applied Math, or related field

            • +
            • Strong mathematical fundamentals and AI/DL algorithms skills or experience

            • +
            • Excellent programming, debugging, performance analysis, test design and documentation skills

            • +
            • Experience with AI/DL Frameworks (e.g. PyTorch, JAX)

            • +
            • Excellent Python programming skills

            • +
            +

            +

            Ways to stand out from the crowd:

            +
              +
            • Prior experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)

            • +
            • Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning

            • +
            • Hands-on experience with inference and deployment environments would be an asset (e.g. TRT, ONNX, Triton)

            • +
            • Knowledge of GPU/CPU architecture and related numerical software

            • +
            +

            +

            The base salary range is 116,250 CAD - 247,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
            +

            You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

            +

            +
            +

            +

            +
            +
            +
            +
            +
            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Senior-GenAI-Algorithms-Engineer_JR1989668?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-11-16T16:13:08.654Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/346634430-senior-genai-algorithms-engineer-at-nvidia,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, cf66ce2b-2ab7-4972-9599-8d6443a045c4,344117500,TELUS,Data ops Engineer,on_site,"Ontario, Canada",2024-09-29T08:58:01.862Z,"

            Join our team and what we\'ll accomplish together

            @@ -27432,7 +29386,7 @@ cf66ce2b-2ab7-4972-9599-8d6443a045c4,344117500,TELUS,Data ops Engineer,on_site,"

            -",,https://careers.telus.com/job/Toronto-Data-ops-Engineer-ON/583978017/,feed-importer@jobboard.io,,,,2024-11-03T18:41:06.950Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/344117500-data-ops-engineer-at-telus,,published,2024-09-29T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +",,https://careers.telus.com/job/Toronto-Data-ops-Engineer-ON/583978017/,feed-importer@jobboard.io,,,,2024-11-03T18:41:06.950Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/344117500-data-ops-engineer-at-telus,,published,2024-09-29T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, 7ad1a753-9800-4010-bade-44bd453e132d,345813054,EY,Senior Product Leader - Data and Analytics,on_site,"Toronto, ON, Canada",2024-10-10T22:00:56.928Z,"

            Job description

            Requisition ID: 1525739At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            The Opportunity

            @@ -27487,153 +29441,7 @@ cf66ce2b-2ab7-4972-9599-8d6443a045c4,344117500,TELUS,Data ops Engineer,on_site,"

            Diversity and Inclusion at EY
            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.


            If you can demonstrate that you meet the criteria above, please contact us as soon as possible.


            The exceptional EY experience. It’s yours to build.

            -

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Product-Leader-Data-and-Analytics-ON-M5H-0B3/1099675801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:01:02.122Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/345813054-senior-product-leader-data-and-analytics-at-ey,,published,2024-10-10T22:00:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -ba50557f-cb0a-4b07-9f6c-26c78384837c,345182868,BELL CANADA,2025 Graduate Program- Data Analytics & AI,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:03.359Z,"

             ​Req Id: 420232


            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


            Join us. You belong at Bell. 

             

            Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

             

            At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

             

            -
            -
            -

            Why join us?

            -
            -
            -

             

            -
              -
            • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
            • -
            • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
            • -
            • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
            • -
            • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
            • -
            • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
            • -
            -
            -
            -
            -
            -

            What you’ll do

            -
            -
            -

              

            -

            As a new graduate, be on the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You will have access to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will see you offering actionable insights to influence business decisions and key technology investments across Bell.

            -

             

            -

            Leveraging the country’s largest voice, data, and wireless network, you will lead end-to-end solutions, to support the aspirations of our customers. Our unique and accelerated program will not only give you extensive knowledge and experience working on complex business issues, it will also enable you to develop your leadership skills. 
            Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

            -

              

            -
            -
            -
            -
            -

            What we’re looking for

            -
            -
            -

             

            -

            Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here

            -
              -
            • Data Scientist 
            • -
            • Data Analyst 
            • -
            • Data Engineering
            • -
            • Business Intelligence Analyst 
            • -
            • Machine Learning Engineering
            • -
            • AI Project/Product Manager
            • -
            -
            -
            -
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            -

            Requirements

            -
            -
            -

             

            -
              -
            • You have a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Engineering, Business Analytics, or a related field. 
            • -
            • Alternatively, you may hold a college diploma or postgraduate certificate in a STEM-related field, completed before the program start date and within three years before your application date. 
            • -
            • You have less than three years of combined professional experience, excluding past internship experiences.
            • -
            -

             

            -

            Technical Skills (you have some of the following) 

            -

             

            -
              -
            • You have experience with various databases systems (Hadoop, Microsoft SQL Server, Teradata, SAS, and Oracle).
            • -
            • You are experienced in using reporting and data visualization tools (Microstrategy, Tableau, Python and Dash).
            • -
            • You have familiarity with cloud concepts, AI/ML models, and ML frameworks (frameworks (HuggingFace, Pytorch, TensorFlow, Scikit-learn, H2O, etc.).
            • -
            • You have certifications or hands-on experience with GCP, Azure, AWS.
            • -
            • You have knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
            • -
            -

             

            -
            -
            -
            -
            -

            Leadership Skills

            -
            -
            -

             

            -
              -
            • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
            • -
            • You gain the trust of your teams, being known for demonstrating fairness and respect.
            • -
            • You promote belonging and are flexible, accountable and collaborative.
            • -
            • -You are analytical and an exceptional problem-solver with a curiosity to understand ""how things work”. -
            • -
            • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
            • -
            • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
            • -
            • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
            • -
            • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
            • -
            • You are committed to growing your skills and learning from others.
            • -
            • Your leadership qualities have been demonstrated through extracurricular activities and projects.
            • -
            -
            -
            -

            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec.

             

            Additional Information:
            Position Type: Management 
            Job Status: Grad Hire 
            Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
            Work Arrangement: Hybrid
            Application Deadline: 11/03/2024

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

             

            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            Created: Canada, ON, Mississauga

            #CampusAI24

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420232EXTERNALENCA/2025-Graduate-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T19:15:46.050Z,False,0,21,73,https://talenthub.vectorinstitute.ai/jobs/345182868-2025-graduate-program-data-analytics-ai-at-bell-canada,BECACA420232EXTERNALENCA,published,2024-10-05T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,Bachelors Degree,New Posting, -2bd9c892-d010-40b8-a4ea-1cf0896afe4a,346634425,OMERS,"Senior Data Analyst, Investment Finance & Valuations",on_site,"Ontario, Canada",2024-10-17T08:58:01.949Z,"
            -

            Choose a workplace that empowers your impact.

            -

            Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

            -

            -

            We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

            -

            -

            Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

            -

            -

            Don’t just work anywhere — come build tomorrow together with us.

            -

            -

            Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

            -

            -

            -

            The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance & Valuations Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance & Valuations team. The role will lead various data analytics initiatives and deliver innovative solutions to Investment Finance & Valuations and partner divisions. To succeed in this role, the ideal individual needs strong attention to detail, have experience in leading data analysts, and have a proven ability to build relationships among the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

            -

            -

            We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

            -

            -

            CORE RESPONSIBILITIES:

            - -

            -

            QUALIFICATIONS:

            - -

            -

            -

            -

            As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

            -

            -

            From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

            -
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Data-Analyst--Investment-Finance---Valuations_JR-6536?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-16T16:11:24.011Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/346634425-senior-data-analyst-investment-finance-valuations-at-omers,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Product-Leader-Data-and-Analytics-ON-M5H-0B3/1099675801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:01:02.122Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/345813054-senior-product-leader-data-and-analytics-at-ey,,published,2024-10-10T22:00:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, 723d052d-e99c-4165-805e-fd405616d7a4,346653032,Deloitte,"Data Risk Senior Consultant, Deloitte Global Risk and Brand Protection (12-18-month fixed term)",on_site,"Ontario, Canada",2024-10-17T16:38:01.461Z,"

            Job Type: DTTL - Secondment
            Work Model:
            Remote
            Reference code:
            127148
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Burlington, ON; Ottawa, ON

            @@ -27704,63 +29512,7 @@ ba50557f-cb0a-4b07-9f6c-26c78384837c,345182868,BELL CANADA,2025 Graduate Program

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Risk-Senior-Consultant%2C-Deloitte-Global-Risk-and-Brand-Protection-%2812-18-month-fixed-term%29/1217032200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-17T14:28:25.458Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/346653032-data-risk-senior-consultant-deloitte-global-risk-and-brand-protection-12-18-month-fixed-term-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Risk-Senior-Consultant%2C-Deloitte-Global-Risk-and-Brand-Protection-%2812-18-month-fixed-term%29/1217032200/,published,2024-10-17T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -448b4003-1e0c-464f-9b64-5ea96e20aba8,346052680,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-10-12T16:41:02.731Z,"
            -
            Who are we?
            -
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            -

            -
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            -

            -
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            -

            -
            Join us on our mission and shape the future!
            -

            -
            Why this role?
            -
            Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
            -

            -
            Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
            -
            -
            -

            As a Member of Technical Staff, you will:

            -
                -
              • Design, build and scale AI systems for serving our users.
              • -
              • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
              • -
              • Learn from and work with the best researchers in the field.
              • -
            -
            -
            -

            You may be a good fit if you have:

            -
                -
              • Extremely strong software engineering skills.
              • -
              • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
              • -
              • Experience writing kernels for GPUs using CUDA.
              • -
              • Experience using large-scale distributed training strategies.
              • -
              • Familiarity with autoregressive sequence models, such as Transformers.
              • -
              • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
              • -

                -
                * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                -
            -
            -
            -
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            -

            -
            -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
            -

            -
            Our Perks:
            -
            🤝 An open and inclusive culture and work environment
            -
            🧑‍💻 Work closely with a team on the cutting edge of AI research
            -
            🍽 Weekly lunch stipend, in-office lunches & snacks
            -
            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
            -
            🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
            -
            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
            -
            🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
            -
            ✈️ 6 weeks of vacation
            -

            -
            Note: This post is co-authored by both Cohere humans and Cohere technology.
            -
            ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-11-14T19:18:53.697Z,False,0,8,33,https://talenthub.vectorinstitute.ai/jobs/346052680-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,published,2024-10-12T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +

            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Risk-Senior-Consultant%2C-Deloitte-Global-Risk-and-Brand-Protection-%2812-18-month-fixed-term%29/1217032200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-17T14:28:25.458Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/346653032-data-risk-senior-consultant-deloitte-global-risk-and-brand-protection-12-18-month-fixed-term-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Risk-Senior-Consultant%2C-Deloitte-Global-Risk-and-Brand-Protection-%2812-18-month-fixed-term%29/1217032200/,published,2024-10-17T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, dac7f7ff-a4f1-415e-ba22-cf46881dac20,346653033,Deloitte,"Global Ethics Senior Manager, Deloitte Global Ethics",on_site,"Ontario, Canada",2024-10-17T16:38:01.516Z,"

            Job Type: Permanent
            Work Model:
            Remote
            Reference code:
            126780
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            @@ -27830,112 +29582,61 @@ dac7f7ff-a4f1-415e-ba22-cf46881dac20,346653033,Deloitte,"Global Ethics Senior Ma

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Global-Ethics-Senior-Manager%2C-Deloitte-Global-Ethics-ON/1191503100/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-17T14:36:38.382Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/346653033-global-ethics-senior-manager-deloitte-global-ethics-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Global-Ethics-Senior-Manager%2C-Deloitte-Global-Ethics-ON/1191503100/,published,2024-10-17T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -574c5fb4-4b12-4773-ae49-da92d2c2abbe,345809288,Layer 6,Research Machine Learning Scientist,on_site,"Toronto, ON, Canada",2024-10-10T21:32:05.527Z,"

            Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

            -

            Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

            -

            We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

            -

            As a Research Machine Learning Scientist, you will

            - -

            Required Qualifications:

            - -

            Preferred Qualifications:

            - -

            Benefits:

            -",,https://layer6.ai/careers/#Research-Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-11-09T21:32:07.530Z,False,0,24,119,https://talenthub.vectorinstitute.ai/jobs/345809288-research-machine-learning-scientist-at-layer-6,,published,2024-10-10T21:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -98829396-26b1-46e9-bf7e-da4ef6f1c76e,346633826,RBC,Staff Data Engineer,on_site,"Toronto, ON, Canada",2024-10-17T08:20:01.839Z,"
            -

            Job Summary

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Global-Ethics-Senior-Manager%2C-Deloitte-Global-Ethics-ON/1191503100/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-17T14:36:38.382Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/346653033-global-ethics-senior-manager-deloitte-global-ethics-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Global-Ethics-Senior-Manager%2C-Deloitte-Global-Ethics-ON/1191503100/,published,2024-10-17T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +2bd9c892-d010-40b8-a4ea-1cf0896afe4a,346634425,OMERS,"Senior Data Analyst, Investment Finance & Valuations",on_site,"Ontario, Canada",2024-10-17T08:58:01.949Z,"
            +

            Choose a workplace that empowers your impact.

            +

            Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

            -

            The RBC Borealis group is responsible for enabling RBC to become a data and AI driven organization. As part of this mission, the Data Solution team in RBC Borealis works with various lines of business to create and build data-driven solutions to serve our clients better. Data Solutions team is dedicated to delivering comprehensive data solutions that drive business success. Specializing in building robust data services/API’s and conducting in-depth data analysis, Data Solutions uncovers critical insights that inform strategic decisions, generates significant business value and identifies new opportunities for growth, and integrates with AI Solutions to ensure that business can leverage their data assets to achieve competitive advantages

            +

            We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

            -

            What will you do?

            -
              -
            • Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
            • -
            • Build data services to serve data to RBC Client and internal groups, and integrate with operational systems and AI solutions to enable data/AI driven process
            • -
            • Build data services with very high performance, scalability, and reliability.
            • -
            • Implement data security measures and best practices to ensure data privacy, integrity, and compliance with regulatory standards
            • -
            • Explore new capabilities and technologies to drive innovation.
            • -
            • Work closely with data scientists, analysts, software engineers, and other stakeholders to understand data requirements and deliver effective data solutions.
            • -
            • Communicate technical concepts to non-technical stakeholders.
            • -
            +

            Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

            -

            What do you need to succeed? Must-have

            -
              -
            • Bachelor’s degree in computer science, software engineering, or equivalent or; or diploma in related technical discipline
            • -
            • 3+ years’ experience in developing scalable applications using Java/Scala/Python; leveraging big data technologies (Hadoop, Spark, Kafka, ELK, etc) to build data products and services
            • -
            • 3+ years’ experience in building scalable, high performance, high availability applications
            • -
            • 3+ years’ experience of building data services in public cloud environments (Azure & AWS)
            • -
            • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others
            • -
            • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
            • -
            +

            Don’t just work anywhere — come build tomorrow together with us.

            -

            Nice-to-have

            +

            Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

            +

            +

            +

            The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance & Valuations Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance & Valuations team. The role will lead various data analytics initiatives and deliver innovative solutions to Investment Finance & Valuations and partner divisions. To succeed in this role, the ideal individual needs strong attention to detail, have experience in leading data analysts, and have a proven ability to build relationships among the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

            +

            +

            We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

            +

            +

            CORE RESPONSIBILITIES:

              -
            • Experience deploying to and running applications on Kubernetes/Openshift
            • -
            • Experience of NoSQL stores (Elasticsearch, Redis, MongoDB, etc…)
            • -
            • Experience building or executing Machine Learning pipelines
            • -
            • Experience building operational APIs
            • +
            • Design and develop comprehensive interactive dashboards and reporting leveraging Power BI or similar business intelligence tools

            • +
            • Work across functional areas and with business stakeholders to understand and identify data and reporting objectives to develop relevant capabilities

            • +
            • Integrate data from various sources to create a unified view for analysis, and utilize advanced statistical and machine learning techniques to analyze data and generate insights

            • +
            • Collaborate with data engineers to ensure the availability and quality of data for analysis

            • +
            • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting

            • +
            • Effectively communicate complex analytical findings to non-technical stakeholders, and prepare and deliver comprehensive reports and presentations

            • +
            • Evaluate and recommend new tools and technologies for data analysis and be well acquainted with current industry trends and advancements in data analytics

            • +
            • Lead data-focused projects, collaborating with cross-functional teams to ensure successful project delivery

            • +
            • Develop and maintain comprehensive documentation of data sources, methodologies, transformation processes, business rules, and user guides

            • +
            • Contribute to the development and implementation of data governance policies and procedures

            • +
            • Lead and mentor the Data Analysts, and provide guidance on best practices, methodologies, and tools for data analysis, as well as training a support for the team

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +

            QUALIFICATIONS:

              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • A world-class training program in financial services
            • -
            • Flexible work/life balance options
            • -
            • Opportunities to take on progressively greater accountabilities
            • -
            • Access to a variety of job opportunities across business and geographies
            • +
            • 5+ years of proven experience as a data analyst in a financial management and investment support environment

            • +
            • Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Science, or a similar discipline

            • +
            • Relevant certifications such as Microsoft Certified Data Analyst Associate, Certified Analytics Professional (CAP), or similar are considered an asset

            • +
            • Advanced proficiency with PowerBI and other data visualization tools

            • +
            • Strong proficiency in data analysis tools, such as Alteryx, Python, R, or similar

            • +
            • Strong SQL skills for data extraction and management, and familiarity with Azure technologies

            • +
            • Strong knowledge of statistical methods and data visualization techniques

            • +
            • Familiarity with machine learning algorithms and techniques and experience implementing predictive models

            • +
            • Strong attention to detail and accuracy, with the ability to identify and solve data errors within a data governance framework

            • +
            • Excellent communication and presentation skills (written and verbal) to effectively convey complex findings and technical concepts to non-technical stakeholders

            • +
            • Demonstrated ability to lead and mentor a team, with strong project management skills

            • +
            • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment

            -

            -

            #LI-HYBRID
            #LI-POST

            -

            -

            -

            Job Skills

            Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

            -

            -

            -

            Additional Job Details

            -

            Address:

            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-09-11

            Application Deadline:

            2024-10-25

            -

            -

            -

            -

            -
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            +

            +

            As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000098632/Staff-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:22:59.593Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/346633826-staff-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

            From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

            +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Data-Analyst--Investment-Finance---Valuations_JR-6536?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-16T16:11:24.011Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/346634425-senior-data-analyst-investment-finance-valuations-at-omers,,published,2024-10-17T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, d4f79412-5149-4678-8f04-57e25575e90c,345812771,EY,Manager - AI and Data - Data Management,on_site,"Toronto, ON, Canada",2024-10-10T21:59:07.021Z,"

            Job description

            Requisition ID: 1527360At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            @@ -28010,7 +29711,79 @@ d4f79412-5149-4678-8f04-57e25575e90c,345812771,EY,Manager - AI and Data - Data M

            Diversity and Inclusion at EY

            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

            -

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Manager-AI-and-Data-Data-Management-ON-M5H-0B3/1102512201/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T21:59:08.994Z,False,0,4,41,https://talenthub.vectorinstitute.ai/jobs/345812771-manager-ai-and-data-data-management-at-ey,,published,2024-10-10T21:59:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Manager-AI-and-Data-Data-Management-ON-M5H-0B3/1102512201/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T21:59:08.994Z,False,0,4,43,https://talenthub.vectorinstitute.ai/jobs/345812771-manager-ai-and-data-data-management-at-ey,,published,2024-10-10T21:59:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +8b73bd6f-d519-4f96-98c9-719b484a9e6c,343706870,KPMG,Data Integration Developer,on_site,"Toronto, Canada",2024-09-26T16:34:02.462Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            The role of a Data Integration Developer (Operation Team) is to deliver services and solutions for KPMG Canada internal clients through the Enterprise Analytics CoE using the suite of Microsoft Azure Data Services and data integrations.


            What you will do


            What you bring to the role

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/25281?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-03T18:35:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/343706870-data-integration-developer-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25281?lang=en-us,published,2024-09-26T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +f7547360-999f-48ae-aec9-4e530ac03680,346298837,Cohere AI,Data Partnerships Manager (9 month contract),on_site,"Toronto, ON, Canada",2024-10-14T16:41:03.925Z,"
            +
            Who are we?
            +
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            +

            +
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            +

            +
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            +

            +
            Join us on our mission and shape the future!
            +

            +
            Why this role?
            +
            At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models.
            +

            +
            Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control.
            +

            +
            Please Note: This is a contract position.
            +
            +

            As a Data Partnerships Manager, you will:

            +
                +
              • Scout new data partnering opportunities and manage the process end-to-end, including outreach, discovery, requirements definition, contracting, data transfers and regular data updates; triage data feeds issues as they arise
              • +
              • Partner with Modeling to manage the relationships and data requirements with external data scraping vendors
              • +
              • Facilitate hand-off of newly acquired datasets to Modeling, Annotation and Finetuning teams
              • +
              • Product manage novel data collection methods and applications as needed
              • +
              • Always keep an eye towards scaling the function with bespoke processes and tools
              • +
            +
            +

            You may be a good fit if:

            +
                +
              • You have more than 3 years of experience managing data vendor programs
              • +
              • You've worked in a partnership-focused role, and have built relationships with text data suppliers
              • +
              • You're proficient in data analysis and data management
              • +
              • You're energized by proactively seeking out new data sources and building long-term, trusting relationships with vendors
              • +
              • You enjoy cross-functional collaboration and have partnered with Technical and Business teams
              • +
              • You're resourceful and approach problem-solving creatively
              • +
              • You have a demonstrated passion for applied NLP models and products
              • +
            +
            +
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            +

            +
            +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
            +
            ",,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,feed-importer@jobboard.io,,,,2024-11-15T15:26:50.150Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/346298837-data-partnerships-manager-9-month-contract-at-cohere-ai,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,published,2024-10-14T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, 295ab1a8-cd2e-46f0-980b-7f75346a86c5,345760878,Accenture,Customer Analytics Lead,on_site,"Toronto, ON, Canada",2024-10-10T08:44:01.975Z,"

            Job Description

            @@ -28069,189 +29842,229 @@ d4f79412-5149-4678-8f04-57e25575e90c,345812771,EY,Manager - AI and Data - Data M
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00235179_en&title=Customer%20Analytics%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-09T15:55:18.978Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/345760878-customer-analytics-lead-at-accenture,,published,2024-10-10T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, -f7547360-999f-48ae-aec9-4e530ac03680,346298837,Cohere AI,Data Partnerships Manager (9 month contract),on_site,"Toronto, ON, Canada",2024-10-14T16:41:03.925Z,"
            -
            Who are we?
            -
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            -

            -
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            -

            -
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            -

            -
            Join us on our mission and shape the future!
            -

            -
            Why this role?
            -
            At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models.
            -

            -
            Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control.
            -

            -
            Please Note: This is a contract position.
            -
            -

            As a Data Partnerships Manager, you will:

            -
                -
              • Scout new data partnering opportunities and manage the process end-to-end, including outreach, discovery, requirements definition, contracting, data transfers and regular data updates; triage data feeds issues as they arise
              • -
              • Partner with Modeling to manage the relationships and data requirements with external data scraping vendors
              • -
              • Facilitate hand-off of newly acquired datasets to Modeling, Annotation and Finetuning teams
              • -
              • Product manage novel data collection methods and applications as needed
              • -
              • Always keep an eye towards scaling the function with bespoke processes and tools
              • -
            -
            -

            You may be a good fit if:

            -
                -
              • You have more than 3 years of experience managing data vendor programs
              • -
              • You've worked in a partnership-focused role, and have built relationships with text data suppliers
              • -
              • You're proficient in data analysis and data management
              • -
              • You're energized by proactively seeking out new data sources and building long-term, trusting relationships with vendors
              • -
              • You enjoy cross-functional collaboration and have partnered with Technical and Business teams
              • -
              • You're resourceful and approach problem-solving creatively
              • -
              • You have a demonstrated passion for applied NLP models and products
              • -
            -
            -
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            -

            -
            -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
            -
            ",,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,feed-importer@jobboard.io,,,,2024-11-15T15:26:50.150Z,False,0,4,16,https://talenthub.vectorinstitute.ai/jobs/346298837-data-partnerships-manager-9-month-contract-at-cohere-ai,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,published,2024-10-14T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, -30809967-2b02-4bc0-9287-eac6a32660d3,343275875,RBC,Lead Data Scientist,on_site,"Toronto, ON, Canada",2024-09-23T08:19:03.313Z,"
            -

            Job Summary

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            -

            The Personal Banking & Commercial Banking Data Strategy team is looking for a passionate and innovative Senior Data Scientist within our data asset team. As a Data Scientist you will train, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. You will collaborate with a highly talented team of data engineers, data scientists, data architects, and data analysts to deliver business value to the organization. You will develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.

            -

            -

            What will you do?

            -
              -
            • Design, build, validate, deploy, and analyze advanced models using machine learning, AI, and statistics end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance.

            • -
            • Work with big data, and cloud technologies such as Spark, Hadoop, and AWS environment (SageMaker, S3, Redshift)

            • -
            • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using SQL queries with complex joins, groupings, and aggregations.

            • -
            • Partner with RBC internal partners and lines of businesses (Digital Marketing, Programmatic Media) to help them frame use cases and define success metrics (Key Performance Indicators).

            • -
            • Document and Validate model design and performance to ensure quality and scalability of all models.

            • -
            • Monitor model performance and business success metrics over time.

            • -
            • Be responsible for researching new capabilities and technologies to drive innovation.

            • -
            • Work closely with development teams to learn about needs, current processes and to promote best practices.

            • -
            -

            -

            What do you need to succeed?

            -

            Must Have

            -
              -
            • Master\'s degree in Statistics, Economics, Marketing (Quantitative Workstream) Mathematics, or related quantitative field

            • -
            • 5+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing

            • -
            • Strong foundation in statistics, probability, and machine learning (including deep learning), especially in areas like: Causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, propensity modelling, attrition modelling, attribution, segmentation, CLV, and behavioural analytics.

            • -
            • Professional software development experience with Spark, Hadoop, AWS Cloud (SageMaker, S3, Redshift), GitHub and SQL

            • -
            • Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow/pytorch, etc.)

            • -
            • Able to clearly convey technical concepts and results to both technical and non-technical audiences, including senior leadership.

            • -
            -

            -

            Nice to Have

            -
              -
            • Experience in running A/B testing experiments in production. Experience with relational databases. Domain specific knowledge of marketing campaigns.

            • -
            • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred.

            • -
            • Publications in machine learning and artificial intelligence.

            • -
            • Passion for ethical AI and experience in algorithm transparency and interpretability.

            • -
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

            • -
            • Leaders who support your development through coaching and managing opportunities

            • -
            • Ability to make a difference and lasting impact.

            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team.

            • -
            • A world-class training program in financial services

            • -
            • Flexible work/life balance options

            • -
            • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.

            • -
            • Access to a variety of job opportunities across business and geographies.

            • -
            -

            -

            #LI-Hybrid

            -

            #LI-Post

            -

            #LI-PK

            -

            -

            -

            Job Skills

            Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

            -

            -

            -

            Additional Job Details

            -

            Address:

            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            PERSONAL & COMMERCIAL BANKING

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-09

            Application Deadline:

            2024-10-31

            -

            -

            -

            -

            -
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            -

            -

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000102303/Lead-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-23T17:16:42.907Z,False,0,12,78,https://talenthub.vectorinstitute.ai/jobs/343275875-lead-data-scientist-at-rbc,,published,2024-09-23T08:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -ec1554b2-b698-47f4-9ad1-5812265a13e7,347009465,BMO Financial Group,"Senior Campaign Data Analyst, Campaign Analytics & Execution",on_site,"Ontario, Canada",2024-10-20T08:18:01.775Z,"
            -

            Application Deadline:

            10/30/2024

            -

            -

            Address:

            100 King Street West

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            We are looking for a talented individual to join our team in the position of Senior Campaign Data Analyst, Campaign Analytics & Execution. This individual will be responsible for Campaign Analytics supporting all Wealth businesses.

            -

            -

            The role will sit on the Wealth Digital, Data & Analytics team. The individual will support the new Wealth Leads optimization project to improve efficiency on current process and generate incremental revenue for Wealth. This individual will also support with sizing, execution, channel loading, performance tracking for multiple wealth campaigns. This individual will drive insights to existing campaigns and will be responsible for developing and supporting the creation of new dashboards for existing and new campaigns. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and implement analytics/machine learning solutions to senior leadership.

            -

            -

            Key Accountabilities:

            +
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00235179_en&title=Customer%20Analytics%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-09T15:55:18.978Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/345760878-customer-analytics-lead-at-accenture,,published,2024-10-10T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, +574c5fb4-4b12-4773-ae49-da92d2c2abbe,345809288,Layer 6,Research Machine Learning Scientist,on_site,"Toronto, ON, Canada",2024-10-10T21:32:05.527Z,"

            Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

            +

            Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

            +

            We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

            +

            As a Research Machine Learning Scientist, you will

            + +

            Required Qualifications:

            -

            -

            Qualifications:

            +

            Preferred Qualifications:

            +

            Benefits:

            +",,https://layer6.ai/careers/#Research-Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-11-09T21:32:07.530Z,False,0,25,129,https://talenthub.vectorinstitute.ai/jobs/345809288-research-machine-learning-scientist-at-layer-6,,published,2024-10-10T21:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +c66c3303-bbbb-45b2-b549-44612c8d4318,344787023,Thomson Reuters,Applied Scientist Intern,on_site,"Ontario, Canada",2024-10-03T08:27:01.522Z,"
            JOB DESCRIPTION
            +
            +

            Summary:
            Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Minneapolis, Minnesota is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.

            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

            As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

            About The Role:
            As an Applied Scientist Intern, you will:
            Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
            Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
            Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

            About You:
            You are fit for the Applied Scientist Intern role if your background includes some of the following:

            +
              +
            • Be currently enrolled in a PhD program relevant discipline or Master’s program with research experience.

            • +
            • Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Large Language Models.

            • +
            • Have experience creating and evaluating experiments related to Machine Learning or Large Language Models.

            • +
            • Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)

            • +
            • Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.

            • +
            • Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.

            • +
            • Have good communication skills and the ability to work collaboratively as part of a team.

            • +
            +


            This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

            Opportunities For Our Applied Science Interns:
            Learning & Development: On-the-job coaching & learning as well as the opportunity to work with cutting-edge methods and technologies
            Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data
            Competitive Compensation: The opportunity to earn while learning new skills

            #LI-SS

            -

            -
            -

            -

            Salary:

            -
            $54,500.00 - $101,500.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            +

            What’s in it For You?
            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            +
              +
            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

            • +
            • Social Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impact

            • +
            • Purpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

            • +
            +

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            We’re here to help

            +


            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            Accessibility

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            +

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst--Campaign-Analytics---Execution_R240022495?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-20T16:02:37.114Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/347009465-senior-campaign-data-analyst-campaign-analytics-execution-at-bmo-financial-group,,published,2024-10-20T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

            +

            Protect yourself from fraudulent job postings click here to know more.

            +

            +

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            +
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ183172/Applied-Scientist-Intern?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-03T18:48:33.573Z,False,0,20,94,https://talenthub.vectorinstitute.ai/jobs/344787023-applied-scientist-intern-at-thomson-reuters,,published,2024-10-03T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Masters Degree,New Posting, +ba50557f-cb0a-4b07-9f6c-26c78384837c,345182868,BELL CANADA,2025 Graduate Program- Data Analytics & AI,on_site,"Mississauga, Ontario, Canada",2024-10-05T21:25:03.359Z,"

             ​Req Id: 420232


            At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

             

            We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 


            Join us. You belong at Bell. 

             

            Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities. 

             

            At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

             

            +
            +
            +

            Why join us?

            +
            +
            +

             

            +
              +
            • Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
            • +
            • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more. 
            • +
            • Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
            • +
            • Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
            • +
            • Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.
            • +
            +
            +
            +
            +
            +

            What you’ll do

            +
            +
            +

              

            +

            As a new graduate, be on the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You will have access to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will see you offering actionable insights to influence business decisions and key technology investments across Bell.

            +

             

            +

            Leveraging the country’s largest voice, data, and wireless network, you will lead end-to-end solutions, to support the aspirations of our customers. Our unique and accelerated program will not only give you extensive knowledge and experience working on complex business issues, it will also enable you to develop your leadership skills. 
            Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

            +

              

            +
            +
            +
            +
            +

            What we’re looking for

            +
            +
            +

             

            +

            Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here

            +
              +
            • Data Scientist 
            • +
            • Data Analyst 
            • +
            • Data Engineering
            • +
            • Business Intelligence Analyst 
            • +
            • Machine Learning Engineering
            • +
            • AI Project/Product Manager
            • +
            +
            +
            +
            +
            +

            Requirements

            +
            +
            +

             

            +
              +
            • You have a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Engineering, Business Analytics, or a related field. 
            • +
            • Alternatively, you may hold a college diploma or postgraduate certificate in a STEM-related field, completed before the program start date and within three years before your application date. 
            • +
            • You have less than three years of combined professional experience, excluding past internship experiences.
            • +
            +

             

            +

            Technical Skills (you have some of the following) 

            +

             

            +
              +
            • You have experience with various databases systems (Hadoop, Microsoft SQL Server, Teradata, SAS, and Oracle).
            • +
            • You are experienced in using reporting and data visualization tools (Microstrategy, Tableau, Python and Dash).
            • +
            • You have familiarity with cloud concepts, AI/ML models, and ML frameworks (frameworks (HuggingFace, Pytorch, TensorFlow, Scikit-learn, H2O, etc.).
            • +
            • You have certifications or hands-on experience with GCP, Azure, AWS.
            • +
            • You have knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
            • +
            +

             

            +
            +
            +
            +
            +

            Leadership Skills

            +
            +
            +

             

            +
              +
            • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. 
            • +
            • You gain the trust of your teams, being known for demonstrating fairness and respect.
            • +
            • You promote belonging and are flexible, accountable and collaborative.
            • +
            • +You are analytical and an exceptional problem-solver with a curiosity to understand ""how things work”. +
            • +
            • You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
            • +
            • You can simplify complex issues, make good and timely decisions, and be an accountable member of a team. 
            • +
            • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
            • +
            • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
            • +
            • You are committed to growing your skills and learning from others.
            • +
            • Your leadership qualities have been demonstrated through extracurricular activities and projects.
            • +
            +
            +
            +

            #EmployeeReferralProgram

             

            Adequate knowledge of French is required for positions in Quebec.

             

            Additional Information:
            Position Type: Management 
            Job Status: Grad Hire 
            Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal 
            Work Arrangement: Hybrid
            Application Deadline: 11/03/2024

             

            For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

             

            Please apply directly online to be considered for this role.  Applications through email will not be accepted.

             

            We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

             

            We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. 

             

            We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
             

            Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

             

            Created: Canada, ON, Mississauga

            #CampusAI24

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA420232EXTERNALENCA/2025-Graduate-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-11-06T19:15:46.050Z,False,0,22,78,https://talenthub.vectorinstitute.ai/jobs/345182868-2025-graduate-program-data-analytics-ai-at-bell-canada,BECACA420232EXTERNALENCA,published,2024-10-05T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,Bachelors Degree,New Posting, +448b4003-1e0c-464f-9b64-5ea96e20aba8,346052680,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-10-12T16:41:02.731Z,"
            +
            Who are we?
            +
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            +

            +
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            +

            +
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            +

            +
            Join us on our mission and shape the future!
            +

            +
            Why this role?
            +
            Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
            +

            +
            Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
            +
            +
            +

            As a Member of Technical Staff, you will:

            +
                +
              • Design, build and scale AI systems for serving our users.
              • +
              • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
              • +
              • Learn from and work with the best researchers in the field.
              • +
            +
            +
            +

            You may be a good fit if you have:

            +
                +
              • Extremely strong software engineering skills.
              • +
              • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
              • +
              • Experience writing kernels for GPUs using CUDA.
              • +
              • Experience using large-scale distributed training strategies.
              • +
              • Familiarity with autoregressive sequence models, such as Transformers.
              • +
              • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
              • +

                +
                * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                +
            +
            +
            +
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            +

            +
            +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
            +

            +
            Our Perks:
            +
            🤝 An open and inclusive culture and work environment
            +
            🧑‍💻 Work closely with a team on the cutting edge of AI research
            +
            🍽 Weekly lunch stipend, in-office lunches & snacks
            +
            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
            +
            🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
            +
            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
            +
            🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
            +
            ✈️ 6 weeks of vacation
            +

            +
            Note: This post is co-authored by both Cohere humans and Cohere technology.
            +
            ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-11-14T19:18:53.697Z,False,0,9,37,https://talenthub.vectorinstitute.ai/jobs/346052680-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,published,2024-10-12T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, 4f0ff317-7c8b-4a80-ba76-b9d2089c08a2,345790431,TELUS,Junior Data Engineer / Developer,on_site,Canada,2024-10-10T18:07:20.406Z,"

            Location: Canada

            Job Status: Contractor
            Job Schedule:
            Regular
            Hiring Leader:
            Sid Dwivedi

            @@ -28288,161 +30101,159 @@ ec1554b2-b698-47f4-9ad1-5812265a13e7,347009465,BMO Financial Group,"Senior Campa
          • You can speak and write in French fluently (nice to have).
          • -

            If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives.

            ",info@telus.ca,,sid.dwivedi@telus.com,https://www.telus.com/en/about/careers,,,2024-11-09T18:07:00.000Z,True,16,0,209,https://talenthub.vectorinstitute.ai/jobs/345790431-junior-data-engineer-developer-at-telus,,published,2024-10-10T18:07:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -f7547360-999f-48ae-aec9-4e530ac03680,346298837,Cohere AI,Data Partnerships Manager (9 month contract),on_site,"Toronto, ON, Canada",2024-10-14T16:41:03.925Z,"
            -
            Who are we?
            -
            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
            -

            -
            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
            -

            -
            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
            -

            -
            Join us on our mission and shape the future!
            -

            -
            Why this role?
            -
            At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models.
            -

            -
            Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control.
            -

            -
            Please Note: This is a contract position.
            -
            -

            As a Data Partnerships Manager, you will:

            -
                -
              • Scout new data partnering opportunities and manage the process end-to-end, including outreach, discovery, requirements definition, contracting, data transfers and regular data updates; triage data feeds issues as they arise
              • -
              • Partner with Modeling to manage the relationships and data requirements with external data scraping vendors
              • -
              • Facilitate hand-off of newly acquired datasets to Modeling, Annotation and Finetuning teams
              • -
              • Product manage novel data collection methods and applications as needed
              • -
              • Always keep an eye towards scaling the function with bespoke processes and tools
              • -
            -
            -

            You may be a good fit if:

            -
                -
              • You have more than 3 years of experience managing data vendor programs
              • -
              • You've worked in a partnership-focused role, and have built relationships with text data suppliers
              • -
              • You're proficient in data analysis and data management
              • -
              • You're energized by proactively seeking out new data sources and building long-term, trusting relationships with vendors
              • -
              • You enjoy cross-functional collaboration and have partnered with Technical and Business teams
              • -
              • You're resourceful and approach problem-solving creatively
              • -
              • You have a demonstrated passion for applied NLP models and products
              • -
            -
            -
            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
            -

            -
            -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
            -
            ",,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,feed-importer@jobboard.io,,,,2024-11-15T15:26:50.150Z,False,0,4,16,https://talenthub.vectorinstitute.ai/jobs/346298837-data-partnerships-manager-9-month-contract-at-cohere-ai,https://jobs.lever.co/cohere/8142290e-c756-4fa5-92a0-a396f173d1e3,published,2024-10-14T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, -295ab1a8-cd2e-46f0-980b-7f75346a86c5,345760878,Accenture,Customer Analytics Lead,on_site,"Toronto, ON, Canada",2024-10-10T08:44:01.975Z,"
            -

            Job Description

            -
            -

            WHO WE ARE:

            Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

            -


            There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Here’s a snapshot of your responsibilities:

            -

            -

            THE WORK:

            -

            -
            • Lead the end-to-end delivery of Customer Analytics as a Technical Product Manager to help clients experiment and drive value with innovative customer analytics solutions.

            • Spearhead the hands-on execution of data analysis and analytical measurements to craft compelling customer insights with actionable recommendations to senior client audiences.

            • Serve as the client’s trusted advisor to champion thought leadership content and points-of-views on latest industry trends and advancements within customer analytics, data and AI.

            • Drive relationships with customer analytics stakeholder teams (e.g. marketing, sales, service, commerce, etc.) to drive the business adoption and value realization of relevant customer data analytic products.

            • Help drive ongoing business development efforts as a Customer Analytics SME, including proposal writing, solutioning and presentation to win engagements for Accenture Song.

            • Develop and enhance internal assets, strengthen go-to-market offerings, and serve as a mentor to help upskill junior colleagues to grow the practice.

            • -
            -

            show more show less
            -
            -
            -

            Qualifications

            -
            -
            -

            HERE’S WHAT YOU’LL NEED:

            -

            -
            • 5+ years in customer analytics design, build, deploy, and adoption, with 2+ years minimum of leading teams to deliver complex solutions.

            • 3+ years of experience with data analytics tools / languages such as SQL, Python.

            • 3+ years of experience with business & analytics platforms such as PowerBI, Looker and Tableau.

            • Experience with Audience Platforms like Customer Data Platforms (CDPs) and Data Management Platforms (DMPs) (Salesforce CDP, Adobe AEP / RTCDP, Tealium, Lytics, ActionIQ, or similar)

            • Experience performing advanced analytics on variety of customer data sources (e.g. digital analytics, digital marketing & advertising, ecommerce, contact center, sales, etc.).

            • Proven ability to bring a strategic mindset and deep thinking across sales and delivery.

            • Demonstrated ability to communicate complex data / analytical concepts into compelling stories to senior stakeholders.

            • Experience in growing an internal customer analytics team and serving as a career mentor for junior team members

            • Bachelor’s degree or equivalent work experience.

            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

            • -
            -

            -

            BONUS POINTS IF:

            -

            -
            • Experience with client-facing projects ideally in consulting, agency or other business-related services.

            • Previous presentation experiences at leading industry conferences and publications within the areas of customer analytics, data and AI

            • Certifications to data & AI cloud service providers, including Azure, GCP, AWS and Databricks, and related to digital analytics tools, including Adobe Customer Journey Analytics, Google Analytics, Salesforce, etc.

            • Expertise in architecting and building custom data engineering, data science and AI products hosted on cloud computing platforms (Azure, GCP, Azure, Databricks)

            • Experience with architecting and implementing large language model (LLM) based applications to generate solutions across different mediums (e.g. text, image, video, etc.) and with programmatic tooling (e.g. OpenAI, LangChain, Gemini, Cohere, etc.)

            • Experience with Customer Data Platforms (CDPs) to drive personalized marketing strategies and customer experiences derived from data analytics and insights.

            • Proficiency in utilizing Customer Relationship Management (CRM) systems to manage and analyze customer interactions and data throughout the customer lifecycle

            • Experience in implementing various theoretical data science concepts in practice for previous projects (e.g., time series analysis, anomaly detection, sampling, NLP, deep learning, computer vision, etc.) problems and drive data-driven decision-making.

            • Experience with architecting data solutions in the Cloud, and integrating automated data insights with downstream systems in Production

            • Experience with digital analytics implementation and tagging for web, paid media, and 3rd party applications.

            • -
            -

            -

            Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

            -

            -

            Information on benefits is here.

            -

            Role Location Annual Salary Range

            -

            British Columbia $89,500 to $204,100

            -

            -
            -

            Locations

            -
            Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
            -
            -
            -

            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

            -
            -

            Our Commitment to Inclusion & Diversity

            -

            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

            -

            Requesting An Accommodation

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

            -

            Other Employment Statements

            -

            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

            -

            Job candidates are not required to disclose any offence for which a pardon has been granted.

            -
            -
            -
            Apply Now
            - Register for Job Alerts
            Share
            -
            Share
            -
            Job Link:
            Copy
            -
            -
            -
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00235179_en&title=Customer%20Analytics%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-09T15:55:18.978Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/345760878-customer-analytics-lead-at-accenture,,published,2024-10-10T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, -cf5fd2b9-7fde-4233-8bb6-cc4b04f1f52c,346633915,Thomson Reuters,"Lead Applied Scientist, IR/NLP",on_site,"Ontario, Canada",2024-10-17T08:27:02.535Z,"
            JOB DESCRIPTION
            +

            If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives.

            ",info@telus.ca,,sid.dwivedi@telus.com,https://www.telus.com/en/about/careers,,,2024-11-09T18:07:00.000Z,True,20,0,243,https://talenthub.vectorinstitute.ai/jobs/345790431-junior-data-engineer-developer-at-telus,,published,2024-10-10T18:07:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +98829396-26b1-46e9-bf7e-da4ef6f1c76e,346633826,RBC,Staff Data Engineer,on_site,"Toronto, ON, Canada",2024-10-17T08:20:01.839Z,"
            +

            Job Summary

            +

            +

            +

            Job Description

            +

            What is the opportunity?

            +

            +

            The RBC Borealis group is responsible for enabling RBC to become a data and AI driven organization. As part of this mission, the Data Solution team in RBC Borealis works with various lines of business to create and build data-driven solutions to serve our clients better. Data Solutions team is dedicated to delivering comprehensive data solutions that drive business success. Specializing in building robust data services/API’s and conducting in-depth data analysis, Data Solutions uncovers critical insights that inform strategic decisions, generates significant business value and identifies new opportunities for growth, and integrates with AI Solutions to ensure that business can leverage their data assets to achieve competitive advantages

            +

            +

            What will you do?

            + +

            +

            What do you need to succeed? Must-have

            + +

            +

            Nice-to-have

            + +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            + +

            +

            #LI-HYBRID
            #LI-POST

            +

            +

            +

            Job Skills

            Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

            +

            +

            +

            Additional Job Details

            +

            Address:

            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-09-11

            Application Deadline:

            2024-10-25

            +

            +

            +

            +

            +
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            +

            +

            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000098632/Staff-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:22:59.593Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/346633826-staff-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e118bac4-3d30-4dbe-9e12-b9dbbfe19cf6,343661291,Thomson Reuters,(Python Based) Lead Research Engineer,on_site,"Ontario, Canada",2024-09-26T08:27:02.419Z,"
            JOB DESCRIPTION
            -

            Lead Applied Scientist, IR/NLP

            +
            Lead Research Engineer
            +
            +
            +
            +

            Do you love creating innovative solutions for customers?

            -

            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

            -


            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint.

            +

            We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers. 

            -

            About the Role

            +

            What does Thomson Reuters Labs do?

            -

            Lead Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters\' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.

            +

            We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

            +

            +

            As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.

            -

            As a Lead Applied Scientist, you will:

            +

            Is this you? Come join us! 

            +

            About the Role:

            +

            In this opportunity as a Lead Research Engineer, you will: 

              -
            • Innovate and drive solution delivery as a technical leader

            • -
            • Be fully accountable for all research deliverables

            • -
            • Provide input to the business and Labs leadership on long-term AI strategy.

            • -
            • Lead and drive stakeholder engagement with other functions (UX, Product, Tech)

            • -
            • Develop in-depth knowledge of customer problems and data

            • -
            • Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property.

            • -
            • Mentor and coach other scientists and engineers on best practices

            • +
            • +Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
            • +
            • +Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
            • +
            • +Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.
            • +
            • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
            • +
            • +Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. 
            • +
            • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. 
            • +
            • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  

            -

            About You

            -

            -

            You’re a fit for the role of Lead Applied Scientist if your background includes:

            +

            About You:

            +

            You are a fit for the Lead Research Engineer role if your background includes:

            +

            Essential skills & experience:

              -
            • PhD in a relevant discipline or Master’s plus a comparable level of experience

            • -
            • 7+ years of hands-on experience building IR / NLP systems for commercial applications

            • -
            • Experience writing production code and ensuring well-managed software delivery

            • -
            • Demonstrable experience translating complex problems into successful AI applications

            • -
            • Professional experience scaling yourself and leading through others, in an applied research setting

            • -
            • Outstanding communication, problem-solving, and analysis skills

            • -
            • Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback

            • -
            • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred)

            • +
            • A Bachelor\'s Degree in Computer Science or Related Field.
            • +
            • At least 8 years software engineering experience of which at least 2 years working on a Machine Learning related product or solution.
            • +
            • Have experience leading technical workstreams within a software engineering organization.
            • +
            • Are skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.
            • +
            • Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
            • +
            • Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
            • +
            • Take pride in writing clean, reusable, maintainable and well-tested code.
            • +
            • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
            • +
            • Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
            • +
            • Have a desire to learn and embrace new and emerging technology.
            • +
            • Can demonstrate adaptability and thrive in a dynamic environment, successfully managing and delivering high-quality results when faced with fluid requirements
            • +
            • Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
            • +
            • Have experience leading and/or mentoring teams.
            • +
            • Have experience providing guidance around roadblocks for team.
            • +
            • Have experience providing updates to internal stakeholders.
            -


            #LI-LP2

            +

            Preferred skills & experience:

            +
              +
            • Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
            • +
            • Had previous exposure to Natural Language Processing (NLP) problems and are familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
            • +
            • Have been successfully taking and integrating Machine Learning solutions to production-grade software
            • +
            • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
            • +
            • +
            • +
            +

            #LI-JF1

            +

            -

            What\'s in it For You?

            -
            -


            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            +

            What\'s in it For You?
            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

              +
            • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

            • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

            • -
            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

            • -
            • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

            • -
            • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

            • -
            • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

            • +
            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

            • +
            • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

            • +
            • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

            • +
            • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

            -

            @@ -28453,15 +30264,188 @@ cf5fd2b9-7fde-4233-8bb6-cc4b04f1f52c,346633915,Thomson Reuters,"Lead Applied Sci

            Accessibility

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            +

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            Protect yourself from fraudulent job postings click here to know more.

            -

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            -
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ183105/Lead-Applied-Scientist-IR-NLP?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-16T15:48:49.516Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/346633915-lead-applied-scientist-ir-nlp-at-thomson-reuters,,published,2024-10-17T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,PhD,New Posting, +

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            +
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ182071/-Python-Based-Lead-Research-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-03T17:38:05.663Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/343661291-python-based-lead-research-engineer-at-thomson-reuters,,published,2024-09-26T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +56a17acf-fd11-4354-8e36-f140b617e0fb,345761305,Vector Institute,Principal Software Specialist,on_site,"Ontario, Canada",2024-10-10T08:47:02.363Z,"

            POSITION SUMMARY

            +

            Reporting to the VP of AI Engineering, the Principal Software Specialist will lead the discovery, architecture, design, and development of advanced artificial intelligence (AI) systems and solutions, ensuring such initiatives align with Vector’s strategy. In this role, they will oversee the implementation of AI models, act as technical authority for organizational AI programs, collaborate with cross-functional teams, and provide technical guidance to ensure the delivery of scalable and efficient AI solutions to Vector partners.


            KEY RESPONSIBILITIES

            + +


            +

            KEY SUCCESS MEASURES

            +


            + +


            +

            PROFILE OF THE IDEAL CANDIDATE

            + +


            +

            At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes, but is not limited to, applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

            +

            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=510457&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-11-09T15:57:26.926Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/345761305-principal-software-specialist-at-vector-institute,,published,2024-10-10T08:47:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Senior Level,Masters Degree,New Posting, +0b408700-87c7-40ee-9a32-d23ea90b784c,345809207,Shopify Inc.,"Senior Engineer, Search Relevance",full,Canada,2024-10-10T21:12:56.040Z,"

            About Shopify

            +

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            +

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            +

            +

            About you

            +

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            +

            Before you apply, consider if you can:

            + +

            +

            About the role

            +

            As a Search Relevance Engineer at Shopify, you are at the intersection of our engineering and data science organizations. You’ll be designing and implementing cutting-edge, AI-powered search and discovery solutions, directly empowering our merchants. We're all about creating tangible solutions that make a real difference in the day to day lives of entrepreneurs.

            +

            If you thrive on change, and are constantly seeking growth and higher mastery, then this is the right place for you. At Shopify, we operate on low process and high trust, and we're not afraid to step out of our comfort zones to push the boundaries of what's possible. So if you're ready to join our team of driven crafters building world-class search and discovery experiences, then we want to hear from you.

            +

            +

            You’ll be doing things like

            + +

            What you bring to the team

            + +

            It would be great if you have:

            +",,https://www.shopify.com/careers/senior-engineer-search-relevance_e17d12d1-1899-45a8-aaba-0838046b5fa9?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:12:58.010Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/345809207-senior-engineer-search-relevance-at-shopify-inc,,published,2024-10-10T21:12:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, +a9079bc6-f92c-4c3d-9693-361b256cb8d9,345809333,League,Senior Customer Business Intelligence Engineer,full,Canada,2024-10-10T21:35:57.799Z,"

            About League

            +

            Founded in 2014, and with a total funding currently at $220 million; League is a platform technology company powering next-generation healthcare consumer experiences. Payers, providers, consumer health partners and employers build on League’s platform to deliver high-engagement, personalized healthcare experiences consumers love. Millions of people use solutions powered by League to access, navigate and pay for care.

            +

            The role

            +

            As a Senior Customer Business Intelligence Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it. In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.

            +

            People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with customers and non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

            +

            Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

            +


            In this role, you will:

            + +

            Attributes

            + +


            What you bring:

            + +

            Nice To Have Experience

            + +

            +

            Security-related responsibilities

            + +

            CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.

            +

            Compensation range for Canada applicants only

            +

            $120,900 - $181,300 CAD

            +

            Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.
            We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

            Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

            + +

            Here are some additional resources to learn more about League:

            + +

            Recognize and Avoid Employment scams. Practice safe job searching.

            +

            Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

            ",,https://job-boards.greenhouse.io/leagueinc/jobs/5254873004,aitalent@vectorinstitute.ai,https://league.com/ca/careers-at-league/,,,2024-11-09T21:36:00.425Z,False,0,6,44,https://talenthub.vectorinstitute.ai/jobs/345809333-senior-customer-business-intelligence-engineer-at-league,,published,2024-10-10T21:35:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, 77d308e2-0033-4045-b312-6b9a82df5882,346255273,Thomson Reuters,"Vice President, Strategy & Operations - Data & Analytics",on_site,"Ontario, Canada",2024-10-14T08:27:01.814Z,"
            JOB DESCRIPTION

            As part of Thomson Reuter\'s D&A organization, the Vice President, Strategy & Operations – Data & Analytics leads the Data Strategy execution and evolution, which is expected to be refreshed and refined throughout the year. They also manage the end-to-end delivery of services and projects across D&A, and are responsible for creating and delivering business cases (including the administration required to record the associated financial information) on time and to budget. This role is responsible for being the executive lead of D&A for mergers and acquisition work. Finally, they are also responsible for managing training and business operations activities for the wider D&A organization.

            @@ -28552,7 +30536,7 @@ cf5fd2b9-7fde-4233-8bb6-cc4b04f1f52c,346633915,Thomson Reuters,"Lead Applied Sci

            Protect yourself from fraudulent job postings click here to know more.

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            -
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ182871/Vice-President-Strategy-Operations-Data-Analytics?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-14T19:51:39.869Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/346255273-vice-president-strategy-operations-data-analytics-at-thomson-reuters,,published,2024-10-14T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Executive,Bachelors Degree,New Posting, +",,https://careers.thomsonreuters.com/us/en/job/JREQ182871/Vice-President-Strategy-Operations-Data-Analytics?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-14T19:51:39.869Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/346255273-vice-president-strategy-operations-data-analytics-at-thomson-reuters,,published,2024-10-14T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Executive,Bachelors Degree,New Posting, 53ea0565-c8b3-41de-8140-81ff47bbe98c,346634209,Accenture,Data Science Integration Architect - Health Care and Life Science,on_site,"Toronto, ON, Canada",2024-10-17T08:44:01.864Z,"

            Job Description

            @@ -28614,74 +30598,76 @@ cf5fd2b9-7fde-4233-8bb6-cc4b04f1f52c,346633915,Thomson Reuters,"Lead Applied Sci
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00217614_en&title=Data%20Science%20Integration%20Architect%20-%20Health%20Care%20and%20Life%20Science,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-16T16:07:28.610Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/346634209-data-science-integration-architect-health-care-and-life-science-at-accenture,,published,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -20a29b6b-7be0-42e2-a1b3-99892647a216,343307750,Deloitte,"Manager/Senior Manager, AML Analytics - Financial Engineering & Modeling",on_site,"Ontario, Canada",2024-09-23T16:35:03.828Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            127160
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            --

            -

            Would you like to further develop your career with our exponentially expanding Financial Engineering and Modelling group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

            -
            -
            -

            What will your typical day look like?

            -
            -

            -

            In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

            As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

            You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

            -
            -
            -
            -

            About the team

            -
            -

            -

            Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

            -

            -

            Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

            -
            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            -

            Ideally, you are someone with:

            -

            -
            • Minimum 5+ years of relevant experience in AML/ATF domain.
            • Hands-on experience in utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
            • Hands-on experience in developing and maintaining AML models to identify unusual patterns or trends in transaction data.
            • Hands-on experience in validating AML models following industry best practice and regulatory guidelines.
            • Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
            • Experience in transaction monitoring, screening tools (e.g. Lexis Nexis, World-check), or AML investigation is an asset.
            • Experience in control testing, risk assessment, coverage assessment is preferred.
            • Strong understanding of AML/ATF/Sanctions/ABAC/KYC processes and practices is beneficial.
            • Strong programming skills in Python, SAS, SQL, R, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
            • Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is an asset.
            • Experience in writing policies and procedures is an asset.
            • Exceptional verbal and written communication skills.
            • Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines.
            • Post-graduate degree in Finance, Economics, Statistics, Computer Science, or related field. Financial crime related certifications (e.g. CAMS, CFCS, CFE, etc.) are a plus.
            • -
            -
            -
            -
            -

            Total Rewards

            -
            -

            -

            The salary range for the Manager position is $95,000 - $159,000 and $123,000 - $228,000 for the Senior Manager position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213379800/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:48:14.561Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/343307750-manager-senior-manager-aml-analytics-financial-engineering-modeling-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213379800/,published,2024-09-23T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, +",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00217614_en&title=Data%20Science%20Integration%20Architect%20-%20Health%20Care%20and%20Life%20Science,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-16T16:07:28.610Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/346634209-data-science-integration-architect-health-care-and-life-science-at-accenture,,published,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +11423a06-ffdb-45ab-abe4-5346f8a05ef7,346634210,Accenture,AI & LLM Architect,on_site,"Toronto, ON, Canada",2024-10-17T08:44:01.934Z,"
            +

            Job Description

            +
            +

            We are:

            +

            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

            +

            Stronger together!

            +

            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

            +

            The value for our clients and our people

            +

            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

            +

            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

            +


            The Work:

            +

            +
              +
            • As an AI and Large Language model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions.
            • +
            • Translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
            • +
            • Architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model\'s capabilities.
            • +
            • Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
            • +
            • Architect components of an LLM solution to address Responsible AI & Security
            • +
            • Design and prototype reusable components for LLM based solution patterns
            • +
            • Design LLM Ops solutions for large scale operationalization
            • +
            +

            +

            show more show less
            +
            +
            +

            Qualifications

            +
            +
            +

            Here’s what you need:

            +

            +
              +
            • 2+ years of experience designing end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. 
            • +
            • 2+ years’ experience leveraging, customizing and implementing Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
            • +
            • 2+ years’ experience interacting with stakeholders, understanding business requirements and coming up with a technical blueprint based on client needs
            • +
            • 2+ years’ experience creating and maintaining comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
            • +
            • 1+ year of experience analyzing and evaluating the performance of Gen AI systems and provide design recommendations.
            • +
            • Relevant exposure to cloud platforms (Azure/AWS/GCP)
            • +
            • 2+ years’ experience managing teams on an onsite/offshore model.
            • +
            • This role is based in our Local ATCs (Montreal) and will require on-site 2-3 days per week.
            • +
            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
            • +
            +

            +

            +

            #LI-NA #LI-MP

            +
            +
            +
            +

            +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

            +
            +

            Our Commitment to Inclusion & Diversity

            +

            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

            +

            Requesting An Accommodation

            +

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            +

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

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            Other Employment Statements

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            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

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            Job candidates are not required to disclose any offence for which a pardon has been granted.

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            Apply Now
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            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228415_en&title=AI%20%26%20LLM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-16T16:08:27.274Z,False,0,3,32,https://talenthub.vectorinstitute.ai/jobs/346634210-ai-llm-architect-at-accenture,,published,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, a46d6b5e-a5a7-4f42-bf7f-3a347c622849,345756899,BMO Financial Group,"Manager, Risk Modeling and Analytics",on_site,"Ontario, Canada",2024-10-10T08:18:03.740Z,"

            Application Deadline:

            10/27/2024

            @@ -28760,280 +30746,69 @@ a46d6b5e-a5a7-4f42-bf7f-3a347c622849,345756899,BMO Financial Group,"Manager, Ris

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Modeling-and-Analytics_R240026471?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-09T15:42:04.679Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/345756899-manager-risk-modeling-and-analytics-at-bmo-financial-group,,published,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -56a17acf-fd11-4354-8e36-f140b617e0fb,345761305,Vector Institute,Principal Software Specialist,on_site,"Ontario, Canada",2024-10-10T08:47:02.363Z,"

            POSITION SUMMARY

            -

            Reporting to the VP of AI Engineering, the Principal Software Specialist will lead the discovery, architecture, design, and development of advanced artificial intelligence (AI) systems and solutions, ensuring such initiatives align with Vector’s strategy. In this role, they will oversee the implementation of AI models, act as technical authority for organizational AI programs, collaborate with cross-functional teams, and provide technical guidance to ensure the delivery of scalable and efficient AI solutions to Vector partners.


            KEY RESPONSIBILITIES

            - -


            -

            KEY SUCCESS MEASURES

            -


            - -


            -

            PROFILE OF THE IDEAL CANDIDATE

            - -


            -

            At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes, but is not limited to, applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

            -

            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=510457&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-11-09T15:57:26.926Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/345761305-principal-software-specialist-at-vector-institute,,published,2024-10-10T08:47:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Senior Level,Masters Degree,New Posting, -0b408700-87c7-40ee-9a32-d23ea90b784c,345809207,Shopify Inc.,"Senior Engineer, Search Relevance",full,Canada,2024-10-10T21:12:56.040Z,"

            About Shopify

            -

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            -

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            -

            -

            About you

            -

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            -

            Before you apply, consider if you can:

            - -

            -

            About the role

            -

            As a Search Relevance Engineer at Shopify, you are at the intersection of our engineering and data science organizations. You’ll be designing and implementing cutting-edge, AI-powered search and discovery solutions, directly empowering our merchants. We're all about creating tangible solutions that make a real difference in the day to day lives of entrepreneurs.

            -

            If you thrive on change, and are constantly seeking growth and higher mastery, then this is the right place for you. At Shopify, we operate on low process and high trust, and we're not afraid to step out of our comfort zones to push the boundaries of what's possible. So if you're ready to join our team of driven crafters building world-class search and discovery experiences, then we want to hear from you.

            -

            -

            You’ll be doing things like

            - -

            What you bring to the team

            - -

            It would be great if you have:

            -",,https://www.shopify.com/careers/senior-engineer-search-relevance_e17d12d1-1899-45a8-aaba-0838046b5fa9?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:12:58.010Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/345809207-senior-engineer-search-relevance-at-shopify-inc,,published,2024-10-10T21:12:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, -a9079bc6-f92c-4c3d-9693-361b256cb8d9,345809333,League,Senior Customer Business Intelligence Engineer,full,Canada,2024-10-10T21:35:57.799Z,"

            About League

            -

            Founded in 2014, and with a total funding currently at $220 million; League is a platform technology company powering next-generation healthcare consumer experiences. Payers, providers, consumer health partners and employers build on League’s platform to deliver high-engagement, personalized healthcare experiences consumers love. Millions of people use solutions powered by League to access, navigate and pay for care.

            -

            The role

            -

            As a Senior Customer Business Intelligence Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it. In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.

            -

            People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with customers and non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

            -

            Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

            -


            In this role, you will:

            - -

            Attributes

            - -


            What you bring:

            - -

            Nice To Have Experience

            - -

            -

            Security-related responsibilities

            - -

            CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.

            -

            Compensation range for Canada applicants only

            -

            $120,900 - $181,300 CAD

            -

            Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.
            We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

            Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

            - -

            Here are some additional resources to learn more about League:

            +",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Modeling-and-Analytics_R240026471?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-09T15:42:04.679Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/345756899-manager-risk-modeling-and-analytics-at-bmo-financial-group,,published,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +d4462d17-4748-42b0-a8fd-cd2127d39453,346633825,RBC,Data Engineer,on_site,"Toronto, ON, Canada",2024-10-17T08:20:01.761Z,"
            +

            Job Summary

            What is the opportunity?
            RBC is re-imagining the experience for our Advisors so that they can deliver the best in class customer service. We have partnered with Salesforce to buildout our next generation CRM Advisor Platform, that will enable them to support customer journey\'s like never before.
            We’re in search for Salesforce QE Lead to lead and execute testing for CRM program. You’ll be joining a diverse and inclusive agile lab delivering solutions on integrating RBC systems with Salesforce’s Financial Services Cloud and Lighting platform.

            +

            +

            Job Description

            +

            What will you do?

            -

            Recognize and Avoid Employment scams. Practice safe job searching.

            -

            Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

            ",,https://job-boards.greenhouse.io/leagueinc/jobs/5254873004,aitalent@vectorinstitute.ai,https://league.com/ca/careers-at-league/,,,2024-11-09T21:36:00.425Z,False,0,6,43,https://talenthub.vectorinstitute.ai/jobs/345809333-senior-customer-business-intelligence-engineer-at-league,,published,2024-10-10T21:35:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -e118bac4-3d30-4dbe-9e12-b9dbbfe19cf6,343661291,Thomson Reuters,(Python Based) Lead Research Engineer,on_site,"Ontario, Canada",2024-09-26T08:27:02.419Z,"
            JOB DESCRIPTION
            -
            -
            Lead Research Engineer
            -
            -
            -
            -

            Do you love creating innovative solutions for customers?

            -

            -

            We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers. 

            -

            -

            What does Thomson Reuters Labs do?

            -

            -

            We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

            -

            -

            As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.

            -

            -

            Is this you? Come join us! 

            -

            -

            About the Role:

            -

            In this opportunity as a Lead Research Engineer, you will: 

            +

            What do you need to succeed?

            +

            Must have:

              -
            • -Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
            • -
            • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
            • -
            • -Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.
            • -
            • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
            • -
            • -Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. 
            • -
            • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. 
            • -
            • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  
            • +
            • 3+ years of experience in testing data migration. Strong SQL skills and experience working with ETL tools such as Informatica, Talend or DataStage.
            • +
            • Salesforce Certified Administrator preferred with experience in using Salesforce myTrailhead platform
            • +
            • Minimum 5 years of experience in a QE Lead role with proven track record in creating and executing test suites for salesforce integration projects.
            • +
            • Solid experience writing complex E2E test scenarios for complex use cases/business requirements, involving multiple data sources and system interfaces
            • +
            • Bachelor degree in Computer Science, Computer Engineering or related (technical) degree/diploma
            • +
            • Technical testing using experience using APIs, events, logs, batch etc. Test Automation for UI and APIs.
            • +
            • Strong technical background in a variety of environments (cloud, distributed, business workflows, web services/APIs, SQL and non-SQL databases) and proven ability to successfully deal with complex issues in cross-functional projects

            -

            About You:

            -

            You are a fit for the Lead Research Engineer role if your background includes:

            +

            What’s in it for you?

            -

            Essential skills & experience:

            -
              -
            • A Bachelor\'s Degree in Computer Science or Related Field.
            • -
            • At least 8 years software engineering experience of which at least 2 years working on a Machine Learning related product or solution.
            • -
            • Have experience leading technical workstreams within a software engineering organization.
            • -
            • Are skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.
            • -
            • Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
            • -
            • Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
            • -
            • Take pride in writing clean, reusable, maintainable and well-tested code.
            • -
            • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
            • -
            • Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
            • -
            • Have a desire to learn and embrace new and emerging technology.
            • -
            • Can demonstrate adaptability and thrive in a dynamic environment, successfully managing and delivering high-quality results when faced with fluid requirements
            • -
            • Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
            • -
            • Have experience leading and/or mentoring teams.
            • -
            • Have experience providing guidance around roadblocks for team.
            • -
            • Have experience providing updates to internal stakeholders.
            • -
            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -

            Preferred skills & experience:

              -
            • Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
            • -
            • Had previous exposure to Natural Language Processing (NLP) problems and are familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
            • -
            • Have been successfully taking and integrating Machine Learning solutions to production-grade software
            • -
            • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
            • -
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Flexible work/life balance options
            • +
            • Opportunities to do challenging work
            • +
            • Opportunities to take on progressively greater accountabilities
            • -
            -

            #LI-JF1

            -
            -

            -

            What\'s in it For You?
            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            -

            +

            Job Skills

            Application Testing, Decision Making, Detail-Oriented, Group Problem Solving, IBM InfoSphere DataStage, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Salesforce Sales Cloud, Software Product Testing, Software Testing, Structured Query Language (SQL), Test Automation, Test Automation Tools

            -


            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            +

            Additional Job Details

            +

            Address:

            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-15

            Application Deadline:

            2024-10-29

            -

            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            Accessibility

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            +
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +

            -

            Protect yourself from fraudulent job postings click here to know more.

            -

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            -
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ182071/-Python-Based-Lead-Research-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-03T17:38:05.663Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/343661291-python-based-lead-research-engineer-at-thomson-reuters,,published,2024-09-26T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000102254/Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:18:25.536Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/346633825-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 3d6818d1-9c14-49d7-acd4-270af459b638,347102613,BMO Financial Group,"Manager, Risk Reporting and Loss Forecasting",on_site,"Ontario, Canada",2024-10-21T08:18:01.467Z,"

            Application Deadline:

            10/30/2024

            @@ -29122,7 +30897,7 @@ e118bac4-3d30-4dbe-9e12-b9dbbfe19cf6,343661291,Thomson Reuters,(Python Based) Le

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-20T16:11:52.365Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/347102613-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,published,2024-10-21T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-20T16:11:52.365Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/347102613-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,published,2024-10-21T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, 8ec55a38-13af-4448-b7f9-faf55c39f51c,347103000,Roche,AI and Digital Pathology Intern,on_site,"Ontario, Canada",2024-10-21T08:58:03.294Z,"

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            @@ -29167,138 +30942,7 @@ e118bac4-3d30-4dbe-9e12-b9dbbfe19cf6,343661291,Thomson Reuters,(Python Based) Le

            Roche is an Equal Opportunity Employer.

            -",,https://careers.roche.com/global/en/job/202409-123479/AI-and-Digital-Pathology-Intern,feed-importer@jobboard.io,,,,2024-11-20T16:16:32.059Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/347103000-ai-and-digital-pathology-intern-at-roche,,published,2024-10-21T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Internship/Co-op,Masters Degree,New Posting, -d4462d17-4748-42b0-a8fd-cd2127d39453,346633825,RBC,Data Engineer,on_site,"Toronto, ON, Canada",2024-10-17T08:20:01.761Z,"
            -

            Job Summary

            What is the opportunity?
            RBC is re-imagining the experience for our Advisors so that they can deliver the best in class customer service. We have partnered with Salesforce to buildout our next generation CRM Advisor Platform, that will enable them to support customer journey\'s like never before.
            We’re in search for Salesforce QE Lead to lead and execute testing for CRM program. You’ll be joining a diverse and inclusive agile lab delivering solutions on integrating RBC systems with Salesforce’s Financial Services Cloud and Lighting platform.

            -

            -

            Job Description

            -

            What will you do?

            - -

            What do you need to succeed?

            -

            Must have:

            - -

            -

            What’s in it for you?

            -

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -

            - -

            -

            -

            -

            Job Skills

            Application Testing, Decision Making, Detail-Oriented, Group Problem Solving, IBM InfoSphere DataStage, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Salesforce Sales Cloud, Software Product Testing, Software Testing, Structured Query Language (SQL), Test Automation, Test Automation Tools

            -

            -

            -

            Additional Job Details

            -

            Address:

            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-15

            Application Deadline:

            2024-10-29

            -

            -

            -

            -

            -
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            -

            -

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000102254/Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:18:25.536Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/346633825-data-engineer-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -11423a06-ffdb-45ab-abe4-5346f8a05ef7,346634210,Accenture,AI & LLM Architect,on_site,"Toronto, ON, Canada",2024-10-17T08:44:01.934Z,"
            -

            Job Description

            -
            -

            We are:

            -

            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

            -

            Stronger together!

            -

            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

            -

            The value for our clients and our people

            -

            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

            -

            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

            -


            The Work:

            -

            -
              -
            • As an AI and Large Language model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions.
            • -
            • Translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
            • -
            • Architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model\'s capabilities.
            • -
            • Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
            • -
            • Architect components of an LLM solution to address Responsible AI & Security
            • -
            • Design and prototype reusable components for LLM based solution patterns
            • -
            • Design LLM Ops solutions for large scale operationalization
            • -
            -

            -

            show more show less
            -
            -
            -

            Qualifications

            -
            -
            -

            Here’s what you need:

            -

            -
              -
            • 2+ years of experience designing end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. 
            • -
            • 2+ years’ experience leveraging, customizing and implementing Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
            • -
            • 2+ years’ experience interacting with stakeholders, understanding business requirements and coming up with a technical blueprint based on client needs
            • -
            • 2+ years’ experience creating and maintaining comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
            • -
            • 1+ year of experience analyzing and evaluating the performance of Gen AI systems and provide design recommendations.
            • -
            • Relevant exposure to cloud platforms (Azure/AWS/GCP)
            • -
            • 2+ years’ experience managing teams on an onsite/offshore model.
            • -
            • This role is based in our Local ATCs (Montreal) and will require on-site 2-3 days per week.
            • -
            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
            • -
            -

            -

            -

            #LI-NA #LI-MP

            -
            -
            -
            -

            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

            -
            -

            Our Commitment to Inclusion & Diversity

            -

            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

            -

            Requesting An Accommodation

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

            -

            Other Employment Statements

            -

            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

            -

            Job candidates are not required to disclose any offence for which a pardon has been granted.

            -
            -
            -
            Apply Now
            - Register for Job Alerts
            Share
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            Share
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            Job Link:
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            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228415_en&title=AI%20%26%20LLM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-16T16:08:27.274Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/346634210-ai-llm-architect-at-accenture,,published,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, +",,https://careers.roche.com/global/en/job/202409-123479/AI-and-Digital-Pathology-Intern,feed-importer@jobboard.io,,,,2024-11-20T16:16:32.059Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/347103000-ai-and-digital-pathology-intern-at-roche,,published,2024-10-21T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Internship/Co-op,Masters Degree,New Posting, fa0a6ee6-ef4e-418e-9d4c-56d763b6be0a,344787034,Google,"Research Intern, PhD, Summer 2025",on_site,"Toronto, ON, Canada",2024-10-03T08:34:01.907Z,"

            Research Intern, PhD, Summer 2025

            @@ -29400,7 +31044,77 @@ fa0a6ee6-ef4e-418e-9d4c-56d763b6be0a,344787034,Google,"Research Intern, PhD, Sum

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -",,https://www.google.com/about/careers/applications/jobs/results/76183102363181766-research-intern-phd-summer-2025?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-03T18:49:48.842Z,False,0,8,48,https://talenthub.vectorinstitute.ai/jobs/344787034-research-intern-phd-summer-2025-at-google,,published,2024-10-03T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,"Technology (Information and Media), Technology (Product Development)",Internship/Co-op,PhD,New Posting, +",,https://www.google.com/about/careers/applications/jobs/results/76183102363181766-research-intern-phd-summer-2025?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-03T18:49:48.842Z,False,0,8,51,https://talenthub.vectorinstitute.ai/jobs/344787034-research-intern-phd-summer-2025-at-google,,published,2024-10-03T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,"Technology (Information and Media), Technology (Product Development)",Internship/Co-op,PhD,New Posting, +cf5fd2b9-7fde-4233-8bb6-cc4b04f1f52c,346633915,Thomson Reuters,"Lead Applied Scientist, IR/NLP",on_site,"Ontario, Canada",2024-10-17T08:27:02.535Z,"
            JOB DESCRIPTION
            +

            Lead Applied Scientist, IR/NLP

            +

            +

            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

            +


            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint.

            +

            +

            About the Role

            +

            +

            Lead Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters\' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.

            +

            +

            As a Lead Applied Scientist, you will:

            +

            + +

            +

            About You

            +

            +

            You’re a fit for the role of Lead Applied Scientist if your background includes:

            +

            + +


            #LI-MW1

            +

            +

            +

            What\'s in it For You?

            +
            +


            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

            + +

            +
            +

            +

            +

            +

            +


            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            +

            +

            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            +

            +

            Accessibility

            +

            +

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            +

            +

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            +

            +

            +

            Protect yourself from fraudulent job postings click here to know more.

            +

            +

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            +
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ183105/Lead-Applied-Scientist-IR-NLP?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-16T15:48:49.516Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/346633915-lead-applied-scientist-ir-nlp-at-thomson-reuters,,published,2024-10-17T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,PhD,New Posting, 635b5af5-ebae-4497-863f-23ce5fd135c0,345756898,BMO Financial Group,Senior Campaign Data Analyst,on_site,"Ontario, Canada",2024-10-10T08:18:03.449Z,"

            Application Deadline:

            10/30/2024

            @@ -29463,97 +31177,6 @@ fa0a6ee6-ef4e-418e-9d4c-56d763b6be0a,344787034,Google,"Research Intern, PhD, Sum

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst_R240022338?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-09T15:41:04.764Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/345756898-senior-campaign-data-analyst-at-bmo-financial-group,,published,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -321635ac-febd-4cd0-a657-ad06de68592f,345761735,Sun Life Financial,"Director, Business Analytics (Group Benefits)",on_site,"Ontario, Canada",2024-10-10T08:50:02.091Z,"
            -

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            -

            -

            -

            Job Description:

            -

            -

            Role Summary

            -

            -

            Sun Life Health is a leading Health and Benefits provider in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives.

            -

            -

            Reporting to the AVP, Strategy, Digital Enterprise and Analytics, the Director, GB (Group Benefits) Analytics will be responsible for the development, management and delivery of analytics business support to Group Benefits business teams. The leader in this role will manage a highly skilled team of employees focused on analytics and data engineering and will collaborate with analytic teams across Sun Life to support delivery of initiatives.

            -

            -

            What will you do?

            -

            -

            Business Support

            - -

            -

            Foundational Data

            - -

            -

            Gen AI Program

            - -

            -

            Leadership

            - -

            -

            What do you need to succeed?

            - -

            -

            Unique Requirements

            - -

            -

            What\'s in it for you?

            - -

            -

            -

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            -

            -

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            -

            -

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            -

            -

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            -

            -

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            -

            -

            Salary Range:

            105,000/105 000 - 180,000/180 000

            -

            Job Category:

            Advanced Analytics

            -

            Posting End Date:

            23/10/2024
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Business-Analytics--Group-Benefits-_JR00102872?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-09T15:58:10.404Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/345761735-director-business-analytics-group-benefits-at-sun-life-financial,,published,2024-10-10T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, f3166c0d-5853-4e25-abe1-bb1b03356bbd,345809209,Shopify Inc.,Analytics Engineering Managers,full,Anywhere,2024-10-10T21:15:05.311Z,"

            About Shopify

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            @@ -29581,45 +31204,7 @@ f3166c0d-5853-4e25-abe1-bb1b03356bbd,345809209,Shopify Inc.,Analytics Engineerin
          • Shape the future of analytics. Define best practices and standards for Analytics Engineering, ensuring our data infrastructure is built for scale and sustained performance.
          • -

            Ready to lead the charge on analytics? Join the team that's making commerce better for everyone.

            ",,https://www.shopify.com/careers/analytics-engineering-managers_e2cfe1e1-c810-4f6a-be68-2c6c8f813751?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:15:07.409Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/345809209-analytics-engineering-managers-at-shopify-inc,,published,2024-10-10T21:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,No Degree,New Posting, -cf2349ec-c849-45a1-9746-05fe6e65d37c,345798956,TELUS,Solution Architect / Senior Developer - Cloud & AI,on_site,Canada,2024-10-10T19:11:09.573Z,"

            Location: Canada

            -

            Job Status: Contractor
            Job Schedule:
            Regular
            Hiring Leader:
            Sid Dwivedi

            -

            -

            Be part of a transformational journey with innovative talent and leading-edge technologies within TELUS HealthOur team and what we’ll accomplish together

            -


            The TELUS Health Data Office brings the power of data and analytics to life, leveraging our market leading health & wellbeing products and the health delivery services to help create healthier communities around the globe.

            -


            What you’ll do
            You’ll get in on the ground floor of a high-profile business at TELUS Health and contribute to a new area of the organization. We're seeking a Senior Solutions Architect with hands-on experience in architecting cloud-based solutions, particularly those involving Large Language Models (LLMs) and Generative AI.

            -


            You will be responsible for using data and AI to drive business outcomes. You will work closely with multiple vendors to create quick MVPs and push them to production.

            -

            -

            Key Responsibilities:

            - -

            Required Qualifications:

            - -

            Preferred Qualifications:

            - -

            If you're passionate about cutting-edge cloud and AI technologies and have a track record of delivering innovative solutions, we want to hear from you!

            -

            -

            If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives.

            ",sid.dwivedi@telus.com,,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2024-11-09T19:11:00.000Z,True,1,0,47,https://talenthub.vectorinstitute.ai/jobs/345798956-solution-architect-senior-developer-cloud-ai-at-telus,,published,2024-10-10T19:11:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,No Degree,New Posting, +

            Ready to lead the charge on analytics? Join the team that's making commerce better for everyone.

            ",,https://www.shopify.com/careers/analytics-engineering-managers_e2cfe1e1-c810-4f6a-be68-2c6c8f813751?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:15:07.409Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/345809209-analytics-engineering-managers-at-shopify-inc,,published,2024-10-10T21:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,No Degree,New Posting, f05db957-f599-4ca2-a964-f0a44f1f1a97,343661526,Accenture,Master Data Management Manager,on_site,"Toronto, ON, Canada",2024-09-26T08:44:03.882Z,"

            Job Description

            @@ -29683,7 +31268,7 @@ f05db957-f599-4ca2-a964-f0a44f1f1a97,343661526,Accenture,Master Data Management
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00232023_en&title=Master%20Data%20Management%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-03T18:22:53.702Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/343661526-master-data-management-manager-at-accenture,,published,2024-09-26T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00232023_en&title=Master%20Data%20Management%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-03T18:22:53.702Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/343661526-master-data-management-manager-at-accenture,,published,2024-09-26T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, ccf50dc5-3ec2-4425-9307-e721761abe70,343703214,Scotiabank,"Manager, Quantitative Analysis, Treasury",on_site,Canada : Ontario : Toronto,2024-09-26T16:30:03.449Z,"

            @@ -29712,78 +31297,70 @@ ccf50dc5-3ec2-4425-9307-e721761abe70,343703214,Scotiabank,"Manager, Quantitative

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Quantitative-Analysis%2C-Treasury-ON-M5H-0B4/584705317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-03T18:34:29.570Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/343703214-manager-quantitative-analysis-treasury-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Quantitative-Analysis%2C-Treasury-ON-M5H-0B4/584705317/,published,2024-09-26T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -68dc21d3-e9d1-4ec5-ac6c-a98b6c87062c,344787082,Canadian Tire Corporation,Senior Data Engineer,on_site,"Ontario, Canada",2024-10-03T08:40:02.108Z,"
            -

            What you\'ll do

            -

            We are seeking an experienced Data Engineer to join our team. The Data Engineer will play a critical role on the CTC Personalization & Customer Analytics team, reporting into the Promotions Technology manager. Leveraging the latest data technologies and advanced analytical techniques, this team designs, develops, and automates customer-facing data products and services. Made up of data engineers, developers and analysts, the team is laser-focused on creating a portfolio of best-in-class products and services that fuel customer-focused analytics and enhance customer and brand experience.

            -

            -

            Data is your strong suit. You are technically minded, detail-oriented and keep updated on automation trends. You communicate effectively to different audiences, and you can build strong cross-functional partnerships to drive collaboration and innovation. In this role, you will:

            - -

            -

            What you bring

            - -

            -

            Bonus points if you have experience with:

            - -

            -

            Hybrid

            -

            We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

            -

            -

            #LI-GM1

            -

            -

            -

            -

            About Us

            -

            -

            Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

            -

            -

            Our Commitment to Diversity, Inclusion and Belonging

            -

            -

            We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

            -

            -

            Accommodations

            -

            -

            We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

            -

            -
            ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Senior-Data-Engineer_JR138269?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-11-03T18:51:12.473Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/344787082-senior-data-engineer-at-canadian-tire-corporation,,published,2024-10-03T08:40:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -7dd1187c-47fb-4ecb-82b2-2f1006d479d2,343307672,Scotiabank,"Manager, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.018Z,"

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Quantitative-Analysis%2C-Treasury-ON-M5H-0B4/584705317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-03T18:34:29.570Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/343703214-manager-quantitative-analysis-treasury-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Quantitative-Analysis%2C-Treasury-ON-M5H-0B4/584705317/,published,2024-09-26T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML Analytics - Financial Engineering & Modeling",on_site,"Ontario, Canada",2024-10-10T16:36:03.745Z,"

            +

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            127157
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            +

            +

            Our Purpose

            +

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            Requisition ID: 206828

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            By living our Purpose, we will make an impact that matters.

            + +
            +
            +
            +

            --

            +

            Would you like to further develop your career with our exponentially expanding Financial Engineering and Modeling group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

            +
            +
            +

            What will your typical day look like?

            +

            -

            Join a purpose driven winning team, acted to results, in an inclusive and high-performing culture.

            -


            Reporting to the Director, Portfolio Management & Analytics, the Manager will work closely with a diverse set of stakeholders to generate insights and deliver judicious recommendations. You will drive analyses, oversight, and judicious thought leadership for Mortgage and HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

            +

            In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

            -

            Job Responsibilities:

            +

            As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

            You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

            +
            +
            +
            +

            About the team

            +

            -
            • Assist the Sr. Manager & Director in sensitivity analyses to essay performance benchmarks against various environmental trends; develop scenario frameworks and readiness playbooks by identifying and prioritizing levers.

            • Collaborate in the measure and monitor policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on credit performance; assist various teams in development and adjustments to policy through judicious insights.

            • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends.

            • Triangulate internal data analyses with macro-economic and consumer trend reports to find customer vulnerability; maintain an integrated set of performance benchmarks to continuously monitor segment performance.

            • Collaborate in assisting annual judicious planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

            • Collaborate in the preparation deep dive analyses on key segments within the RESL portfolio, provisioning, and peer trends.

            • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

            • -
            -

            Job Requirements:

            +

            Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

            Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

            +
            +
            +
            +

            Enough about us, let’s talk about you

            +

            -
            • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of credit portfolios are essential.

            • Proficiency in programming and/or database programs (MongoDB, SAS, JAVA, SQL, R, Hadoop, Python)

            • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics).

            • 3-5 years of relevant work experience

            • Expertise and thorough understanding of credit and portfolio management, mortgage underwriting and credit analytics.

            • Good understanding of: i) RESL products, systems and channels, and the markets in which Scotiabank operates; ii) Bank’s credit risk policy and risk appetite framework; iii) retail lending process and applications; and iv) legislative and marketplace issues relative to credit risk management.

            • Solid financial skills, solid deductive reasoning, sound judgement and creativity.

            • Strong verbal and written communication skills and the ability to effectively convey information to various levels of management.

            • Knowledge of credit risk management origination techniques and strategies in Retail credit, including the create of champion/challenger tests and risk strategies utilizing credit risk scores.

            • +

              Ideally, you are someone with:

              +
              • Minimum 3-5 years of relevant experience in AML/ATF domain
              • Hands-on experience in utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
              • Hands-on experience in developing and maintaining AML models to identify unusual patterns or trends in transaction data.
              • Hands-on experience in validating AML models following industry best practice and regulatory guidelines.
              • Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
              • Experience in transaction monitoring, screening tools (e.g. Lexis Nexis, World-check), or AML investigation is an asset.
              • Experience in control testing, risk assessment, coverage assessment is preferred.
              • Strong understanding of AML/ATF/Sanctions/ABAC/KYC processes and practices is beneficial.
              • Strong programming skills in Python, SAS, SQL, R, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
              • Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is an asset.
              • Experience in writing policies and procedures is an asset.
              • Exceptional verbal and written communication skills.
              • Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines.
              • Post-graduate degree in Finance, Economics, Statistics, Computer Science, or related field. Financial crime related certifications (e.g. CAMS, CFCS, CFE, etc.) are a plus.
              +
            +
            +
            +

            Total Rewards

            +


            The salary range for this position is $75,000 - $113,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            +
            +
            +

            +

            Our promise to our people: Deloitte is where potential comes to life.

            +

            +

            Be yourself, and more.

            +

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            +

            You shape how we make impact.

            +

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            +

            Be the leader you want to be

            +

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            +

            Have as many careers as you want.

            +

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584450017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-23T17:37:22.148Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/343307672-manager-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584450017/,published,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            +

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213378700/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T20:54:00.000Z,False,0,3,29,https://talenthub.vectorinstitute.ai/jobs/345788104-senior-associate-aml-analytics-financial-engineering-modeling-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213378700/,published,2024-10-10T16:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, 52e0b2f7-0b50-45ff-8b48-dedee4bd34cc,345360632,Thomson Reuters,Senior Applied Scientist,on_site,"Ontario, Canada",2024-10-07T08:27:01.873Z,"
            JOB DESCRIPTION

            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility.

            About the Role
            Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters\' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.

            As a Senior Applied Scientist, you will:

            ",,https://careers.thomsonreuters.com/us/en/job/JREQ183205/Senior-Applied-Scientist?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-06T18:55:26.039Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/345360632-senior-applied-scientist-at-thomson-reuters,,published,2024-10-07T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, -37025522-a42f-4476-b786-c6bd7393fc61,346253910,BMO Financial Group,"First Nations / Inuit / Métis - Senior Analyst, Data & Analytics",on_site,"Ontario, Canada",2024-10-14T08:18:03.031Z,"
            -

            Application Deadline:

            10/23/2024

            -

            -

            Address:

            VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

            -

            Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

            -

            This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

            -

            -

            -

            -

            Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

            - -

            -

            Qualifications:

            -

            Foundational level of proficiency:

            - -

            Intermediate level of proficiency:

            - -
            -

            -

            Salary:

            -
            $65,400.00 - $121,800.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            -

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            -

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/REMOTETELETRAVAIL-ON-CAN/First-Nations---Inuit---Mtis---Senior-Analyst--Data---Analytics_R240021062?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-14T19:49:26.897Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/346253910-first-nations-inuit-metis-senior-analyst-data-analytics-at-bmo-financial-group,,published,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -ed7d5a06-e0b9-4fea-b2f4-7ac2a80a797f,346253911,BMO Financial Group,First Nations / Inuit / Métis – Manager - Data analytics,on_site,"Ontario, Canada",2024-10-14T08:18:03.071Z,"
            -

            Application Deadline:

            10/23/2024

            -

            -

            Address:

            VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

            -

            Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

            -

            This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

            -

            -

            -

            Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

            - -

            -

            Qualifications:

            -

            Intermediate level of proficiency:

            - -

            Advanced level of proficiency:

            - -
            -

            -

            Salary:

            -
            $81,600.00 - $151,200.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            -

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            -

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/REMOTETELETRAVAIL-ON-CAN/First-Nations---Inuit---Mtis---Manager---Data-analytics_R240020675?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-11-14T19:50:25.641Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/346253911-first-nations-inuit-metis-manager-data-analytics-at-bmo-financial-group,,published,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b2e34cd7-4d66-4667-9086-ba637cab2cce,342896320,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-09-20T16:41:02.594Z,"
            -
            -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. -
            -

            -
            Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
            -
            -
            -

            You will:

            - -
            -
            -

            You have:

            - -
            -
            -
            Benefits and Perks:
            -
            An engaging remote-first culture
            -
            A great compensation package that includes BenchSci equity options
            -
            A robust vacation policy plus an additional vacation day every year
            -
            Company closures for 14 more days throughout the year
            -
            Flex time for sick days, personal days, and religious holidays
            -
            Comprehensive health and dental benefits.
            -
            Annual learning & development budget
            -
            A one-time home office set-up budget to use upon joining BenchSci
            -
            An annual lifestyle spending account allowance
            -
            Generous parental leave benefits with a top-up plan or paid time off options
            -
            The ability to save for your retirement coupled with a company match!
            -

            -
            About BenchSci:
            -
            BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
            -
            Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
            -

            -
            Our Culture:
            -
            BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
            -
            We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
            -
            You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
            -

            -
            -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
            -

            -
            -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
            -

            -
            #LI-Remote
            -
            ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-10-23T17:09:40.400Z,False,0,9,44,https://talenthub.vectorinstitute.ai/jobs/342896320-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,published,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, + ",,https://careers.thomsonreuters.com/us/en/job/JREQ183205/Senior-Applied-Scientist?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-06T18:55:26.039Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/345360632-senior-applied-scientist-at-thomson-reuters,,published,2024-10-07T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,on_site,"Ontario, Canada",2024-10-03T16:35:02.979Z,"

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126891
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

            @@ -30116,7 +31469,7 @@ c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,o

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AI-Solutions-Architect-ON/1219224200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-03T18:57:54.063Z,False,0,6,31,https://talenthub.vectorinstitute.ai/jobs/344839932-ai-solutions-architect-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AI-Solutions-Architect-ON/1219224200/,published,2024-10-03T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AI-Solutions-Architect-ON/1219224200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-03T18:57:54.063Z,False,0,6,32,https://talenthub.vectorinstitute.ai/jobs/344839932-ai-solutions-architect-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AI-Solutions-Architect-ON/1219224200/,published,2024-10-03T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, 00472835-02a7-4cc0-a479-e05e40335b34,345814009,EY,Senior Manager - SAP Data Analytics,on_site,"Toronto, ON, Canada",2024-10-10T22:05:55.454Z,"

            Job description

            Requisition ID: 1530783

            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            @@ -30173,7 +31526,7 @@ c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,o

            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

            EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            -

            Apply now

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-SAP-Data-Analytics-ON-M5H-0B3/1107809801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:05:57.443Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/345814009-senior-manager-sap-data-analytics-at-ey,,published,2024-10-10T22:05:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +

            Apply now

            ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-SAP-Data-Analytics-ON-M5H-0B3/1107809801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-11-09T22:05:57.443Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/345814009-senior-manager-sap-data-analytics-at-ey,,published,2024-10-10T22:05:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, 3a0ea3ef-86b5-4952-98aa-5ee59b46d754,346257789,Sun Life Financial,"Director, Lead AI Engineer, Office of Chief Investment Officer - SLC Management",on_site,"Ontario, Canada",2024-10-14T08:50:01.937Z,"

            SLC Management is a growing global asset management firm providing innovative and diversified investment solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1300 organizations. Our history of organic and strategic growth reflects this commitment with over CA$374/US$283 billion in assets under management (AUM). As a subsidiary of Sun Life, we are aligned with one of the world’s leading financial services companies, and benefit from the stability and strength of that relationship.

            @@ -30247,7 +31600,7 @@ c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,o

            All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

            For applicants residing in California, please read our employee California Privacy Policy and Notice.

            -
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Wellesley-Hills-Massachusetts/Director--Lead-AI-Engineer--Office-of-Chief-Investment-Officer---SLC-Management_JR00103260-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-15T15:19:00.725Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/346257789-director-lead-ai-engineer-office-of-chief-investment-officer-slc-management-at-sun-life-financial,,published,2024-10-14T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Wellesley-Hills-Massachusetts/Director--Lead-AI-Engineer--Office-of-Chief-Investment-Officer---SLC-Management_JR00103260-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-15T15:19:00.725Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/346257789-director-lead-ai-engineer-office-of-chief-investment-officer-slc-management-at-sun-life-financial,,published,2024-10-14T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, 40da424a-ec7f-478f-846a-c3a1dadc6888,344787656,OMERS,"Senior Business Analyst, Data Integration & Performance Platform",on_site,"Ontario, Canada",2024-10-03T08:58:02.665Z,"

            Choose a workplace that empowers your impact.

            Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

            @@ -30309,7 +31662,7 @@ c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,o

            As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

            From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

            -
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Business-Analyst--Data-Integration---Performance-Platform_JR-6578?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-03T18:55:27.185Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/344787656-senior-business-analyst-data-integration-performance-platform-at-omers,,published,2024-10-03T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Business-Analyst--Data-Integration---Performance-Platform_JR-6578?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-11-03T18:55:27.185Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/344787656-senior-business-analyst-data-integration-performance-platform-at-omers,,published,2024-10-03T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 1165eb9e-0ff2-4260-ba44-6ef797cf4dda,345271049,Scotiabank,"Specialist, Data Analytics Engineering - Business Intelligence Data Analytics (Hybrid)",on_site,Canada : Ontario : Toronto,2024-10-06T16:31:02.245Z,"

            @@ -30352,70 +31705,7 @@ c90916a5-f767-44dd-b990-2b7b9d6ff72d,344839932,Deloitte,AI Solutions Architect,o

            #LI-hybrid

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Specialist%2C-Data-Analytics-Engineering-Business-Intelligence-Data-Analytics-%28Hybrid%29-ON-M1L4S2/584200117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T19:06:02.743Z,False,0,2,32,https://talenthub.vectorinstitute.ai/jobs/345271049-specialist-data-analytics-engineering-business-intelligence-data-analytics-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Specialist%2C-Data-Analytics-Engineering-Business-Intelligence-Data-Analytics-%28Hybrid%29-ON-M1L4S2/584200117/,published,2024-10-06T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML Analytics - Financial Engineering & Modeling",on_site,"Ontario, Canada",2024-10-10T16:36:03.745Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            127157
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            --

            -

            Would you like to further develop your career with our exponentially expanding Financial Engineering and Modeling group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

            -
            -
            -

            What will your typical day look like?

            -
            -

            -

            In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

            -

            -

            As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

            You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

            -
            -
            -
            -

            About the team

            -
            -

            -

            Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

            Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

            -
            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            -

            Ideally, you are someone with:

            -
            • Minimum 3-5 years of relevant experience in AML/ATF domain
            • Hands-on experience in utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
            • Hands-on experience in developing and maintaining AML models to identify unusual patterns or trends in transaction data.
            • Hands-on experience in validating AML models following industry best practice and regulatory guidelines.
            • Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
            • Experience in transaction monitoring, screening tools (e.g. Lexis Nexis, World-check), or AML investigation is an asset.
            • Experience in control testing, risk assessment, coverage assessment is preferred.
            • Strong understanding of AML/ATF/Sanctions/ABAC/KYC processes and practices is beneficial.
            • Strong programming skills in Python, SAS, SQL, R, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
            • Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is an asset.
            • Experience in writing policies and procedures is an asset.
            • Exceptional verbal and written communication skills.
            • Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines.
            • Post-graduate degree in Finance, Economics, Statistics, Computer Science, or related field. Financial crime related certifications (e.g. CAMS, CFCS, CFE, etc.) are a plus.
            • -
            -
            -
            -
            -

            Total Rewards

            -


            The salary range for this position is $75,000 - $113,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213378700/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-09T20:54:00.000Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/345788104-senior-associate-aml-analytics-financial-engineering-modeling-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213378700/,published,2024-10-10T16:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Specialist%2C-Data-Analytics-Engineering-Business-Intelligence-Data-Analytics-%28Hybrid%29-ON-M1L4S2/584200117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T19:06:02.743Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/345271049-specialist-data-analytics-engineering-business-intelligence-data-analytics-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Specialist%2C-Data-Analytics-Engineering-Business-Intelligence-Data-Analytics-%28Hybrid%29-ON-M1L4S2/584200117/,published,2024-10-06T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 3c4726f2-ce96-4c7c-a2f1-17bf9868418d,346298729,Scotiabank,"Senior Manager, Model Development - Contract",on_site,Canada : Ontario : Toronto,2024-10-14T16:31:02.659Z,"

            @@ -30463,7 +31753,75 @@ ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML A
            • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
            • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
            • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
            • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
            • A competitive rewards package that includes a base salary, a performance bonus, paid vacation, personal & sick days that start from day one, and much more!

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Contract-ON-M5H1H1/584066117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-15T15:25:06.100Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/346298729-senior-manager-model-development-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Contract-ON-M5H1H1/584066117/,published,2024-10-14T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Contract-ON-M5H1H1/584066117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-15T15:25:06.100Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/346298729-senior-manager-model-development-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Contract-ON-M5H1H1/584066117/,published,2024-10-14T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +53acce3e-ab57-453d-9819-45299c3776cf,345788097,KPMG,"Senior Manager, Technology (Data), Ops M&A, Advisory",on_site,"Toronto, Canada",2024-10-10T16:35:01.914Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            KPMG's Technology Mergers & Acquisitions (M&A) is a service within KPMG’s Strategy and Deal Execution, Deal Advisory practice that helps clients gain value from every phase of their merger, acquisition, carve-out or divestment. We offer an understanding and use of technology as a lever within transactions, in order to provide a competitive bid advantage, increase deal value, minimize future operating costs or to provide greater integrity during a transition. The team advises clients across various areas of IT, including applications, data, infrastructure, and cyber security, with a focus on diverse set of industries, including Technology, Financial Services, Insurance, Healthcare, Energy, Construction, and Manufacturing. As the demand for our expertise grows, we are expanding our Technology M&A team to better serve our clients' evolving needs.

            Our clients are typically private equity funds, pension funds, large public companies, and private corporations, across a wide variety of industries.

            Learn more about KPMG’s Strategy and Deal Execution practice here.

            Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?


            What you will do

            As Senior Manager, Technology (Data) M&A, located in our Toronto office, you will:


            What you bring to the role

            Functional Skills:

            Technical Skills:

            #LI-ET1

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-09T20:57:38.355Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/345788097-senior-manager-technology-data-ops-m-a-advisory-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,published,2024-10-10T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +0f32c787-06e6-4a1b-ba6c-49d6ade45670,345809227,Shopify Inc.,Product Data Scientists,full,Anywhere,2024-10-10T21:20:37.407Z,"

            About Shopify

            +

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            +

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            +

            About you

            +

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            +

            Before you apply, consider if you can:

            + +

            About the role

            +

            Product data scientists at Shopify tell the story of the building blocks of commerce. They guide product development and improvement by partnering across disciplines and influencing a culture of data-informed [not data-driven] decision making. Our data scientists uncover the insights that inform how Shopify decides on what products to build and how to build them.

            +

            +

            Why you’ll love working at Shopify

            + +

            +

            Ready to turn data into product discovery? Join the team that's making commerce better for everyone.

            ",,https://www.shopify.com/careers/product-data-scientists_e09145fa-617d-4746-8245-9481c9b40512?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:20:39.697Z,False,0,18,75,https://talenthub.vectorinstitute.ai/jobs/345809227-product-data-scientists-at-shopify-inc,,published,2024-10-10T21:20:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, 56665e25-3cc7-468a-8093-56af1723df82,346253909,BMO Financial Group,"Business Analyst, Winter 2025(co-op/Internship-8months",on_site,"Ontario, Canada",2024-10-14T08:18:02.979Z,"

            Application Deadline:

            10/30/2024

            @@ -30547,128 +31905,7 @@ ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML A

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analyst--Winter-2025-co-op-Internship-8months_R240026115-2?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2024-11-14T19:47:49.908Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/346253909-business-analyst-winter-2025-co-op-internship-8months-at-bmo-financial-group,,published,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -61331021-a169-4cf7-899f-e4c21a2e9317,347118899,Deloitte,Machine Learning (ML) Engineer,on_site,"Ontario, Canada",2024-10-21T16:38:03.358Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126900
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            --

            -
            -
            -
            -

            What will your typical day look like?

            -

            As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

            -
            -
            -

            About the team

            -

            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            You are someone with:

            -
            • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
            • Good understanding of ML and Al concepts. Hands-on experience in ML model development.
            • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google Al Platform, Azure Machine Learning, Databricks, DataRobot, MLFlow).
            • Strong experience in Python and PySpark, used both for ML and automation tasks.
            • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
            • Experience with Kubernetes and the ecosystem of Cloud Native tools.
            • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
            • Strong oral and written communication skills
            • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
            • Experience with Azure and/or AWS platforms is an asset
            • Project management experience is an asset
            • Professional services, consulting, or advisory experience is an asset
            • -
            -
            -
            -
            -

            Total Rewards

            -


            The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-20T18:15:32.589Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/347118899-machine-learning-ml-engineer-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,published,2024-10-21T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -0f32c787-06e6-4a1b-ba6c-49d6ade45670,345809227,Shopify Inc.,Product Data Scientists,full,Anywhere,2024-10-10T21:20:37.407Z,"

            About Shopify

            -

            Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

            -

            This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

            -

            About you

            -

            Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

            -

            Before you apply, consider if you can:

            - -

            About the role

            -

            Product data scientists at Shopify tell the story of the building blocks of commerce. They guide product development and improvement by partnering across disciplines and influencing a culture of data-informed [not data-driven] decision making. Our data scientists uncover the insights that inform how Shopify decides on what products to build and how to build them.

            -

            -

            Why you’ll love working at Shopify

            - -

            -

            Ready to turn data into product discovery? Join the team that's making commerce better for everyone.

            ",,https://www.shopify.com/careers/product-data-scientists_e09145fa-617d-4746-8245-9481c9b40512?,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-11-09T21:20:39.697Z,False,0,17,71,https://talenthub.vectorinstitute.ai/jobs/345809227-product-data-scientists-at-shopify-inc,,published,2024-10-10T21:20:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -53acce3e-ab57-453d-9819-45299c3776cf,345788097,KPMG,"Senior Manager, Technology (Data), Ops M&A, Advisory",on_site,"Toronto, Canada",2024-10-10T16:35:01.914Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            KPMG's Technology Mergers & Acquisitions (M&A) is a service within KPMG’s Strategy and Deal Execution, Deal Advisory practice that helps clients gain value from every phase of their merger, acquisition, carve-out or divestment. We offer an understanding and use of technology as a lever within transactions, in order to provide a competitive bid advantage, increase deal value, minimize future operating costs or to provide greater integrity during a transition. The team advises clients across various areas of IT, including applications, data, infrastructure, and cyber security, with a focus on diverse set of industries, including Technology, Financial Services, Insurance, Healthcare, Energy, Construction, and Manufacturing. As the demand for our expertise grows, we are expanding our Technology M&A team to better serve our clients' evolving needs.

            Our clients are typically private equity funds, pension funds, large public companies, and private corporations, across a wide variety of industries.

            Learn more about KPMG’s Strategy and Deal Execution practice here.

            Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?


            What you will do

            As Senior Manager, Technology (Data) M&A, located in our Toronto office, you will:


            What you bring to the role

            Functional Skills:

            Technical Skills:

            #LI-ET1

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-11-09T20:57:38.355Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/345788097-senior-manager-technology-data-ops-m-a-advisory-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,published,2024-10-10T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analyst--Winter-2025-co-op-Internship-8months_R240026115-2?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2024-11-14T19:47:49.908Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/346253909-business-analyst-winter-2025-co-op-internship-8months-at-bmo-financial-group,,published,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, 42017ef0-6524-45af-8b1b-13485088fbaa,346257778,Accenture,Responsible AI - Advisor Specialist,on_site,"Toronto, ON, Canada",2024-10-14T08:44:02.088Z,"

            Job Description

            @@ -30750,7 +31987,7 @@ ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML A
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239692_en&title=Responsible%20AI%20-%20Advisor%20Specialist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:06:43.807Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/346257778-responsible-ai-advisor-specialist-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00239692_en&title=Responsible%20AI%20-%20Advisor%20Specialist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-11-15T15:06:43.807Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/346257778-responsible-ai-advisor-specialist-at-accenture,,published,2024-10-14T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, 92456230-4266-4cad-9f31-75fc435d697b,347118826,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:04.240Z,"

            @@ -30777,140 +32014,98 @@ ca40a154-2375-422a-954e-01a3d3d567c2,345788104,Deloitte,"Senior Associate, AML A

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            -

            BFUTR

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON/585719017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:12:19.053Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/347118826-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON/585719017/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -25a7b0b5-fb5d-4924-a53f-e23beae13813,347102863,Google,"Senior Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.558Z,"
            -
            -

            Senior Software Developer, Front End, Applied AI

            -
            -
            -
            -
            -
              -
            -
            -
            -
            -
            -

            Minimum qualifications:

            +

            BFUTR

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON/585719017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-20T18:12:19.053Z,False,0,6,30,https://talenthub.vectorinstitute.ai/jobs/347118826-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON/585719017/,published,2024-10-21T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +cf2349ec-c849-45a1-9746-05fe6e65d37c,345798956,TELUS,Solution Architect / Senior Developer - Cloud & AI,on_site,Canada,2024-10-10T19:11:09.573Z,"

            Location: Canada

            +

            Job Status: Contractor
            Job Schedule:
            Regular
            Hiring Leader:
            Sid Dwivedi

            +

            +

            Be part of a transformational journey with innovative talent and leading-edge technologies within TELUS HealthOur team and what we’ll accomplish together

            +


            The TELUS Health Data Office brings the power of data and analytics to life, leveraging our market leading health & wellbeing products and the health delivery services to help create healthier communities around the globe.

            +


            What you’ll do
            You’ll get in on the ground floor of a high-profile business at TELUS Health and contribute to a new area of the organization. We're seeking a Senior Solutions Architect with hands-on experience in architecting cloud-based solutions, particularly those involving Large Language Models (LLMs) and Generative AI.

            +


            You will be responsible for using data and AI to drive business outcomes. You will work closely with multiple vendors to create quick MVPs and push them to production.

            +

            +

            Key Responsibilities:

            -

            Preferred qualifications:

            +

            Required Qualifications:

            - -
            -

            About the job

            -

            Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

            -

            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

            -
            -
            -

            Responsibilities

            +

            Preferred Qualifications:

            +

            If you're passionate about cutting-edge cloud and AI technologies and have a track record of delivering innovative solutions, we want to hear from you!

            +

            +

            If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives.

            ",sid.dwivedi@telus.com,,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2024-11-09T19:11:00.000Z,True,2,0,53,https://talenthub.vectorinstitute.ai/jobs/345798956-solution-architect-senior-developer-cloud-ai-at-telus,,published,2024-10-10T19:11:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,No Degree,New Posting, +61331021-a169-4cf7-899f-e4c21a2e9317,347118899,Deloitte,Machine Learning (ML) Engineer,on_site,"Ontario, Canada",2024-10-21T16:38:03.358Z,"

            +

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126900
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

            +
            +

            +

            Our Purpose

            +

            +

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            +

            By living our Purpose, we will make an impact that matters.

            +
            -
            -

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            -

            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

            -

            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            -

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

            -

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -
            -
            ",,https://www.google.com/about/careers/applications/jobs/results/110055749463220934-senior-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-11-20T16:15:05.582Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/347102863-senior-software-developer-front-end-applied-ai-at-google,,published,2024-10-21T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -afe29354-c516-4ff6-9f9c-8058df847304,343662418,Ada,Data Annotation Specialist - Machine Learning,on_site,"Ontario, Canada",2024-09-26T08:58:04.042Z,"
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +
            +

            --

            +
            +
            +
            +

            What will your typical day look like?

            +

            As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

            +
            +

            About the team

            +

            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            +
            +

            Enough about us, let’s talk about you

            -

            As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

            -

            We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

            -

            About You

            -
              -
            • Motivated to complete tasks with a high degree of attention to detail and efficiency
            • -
            • French native speaker with strong written and verbal communication skills in English. Fluency and proficiency in Spanish is a plus.
            • -
            • Proficient computer skills and familiarity with programs such as Excel, GSheets
            • -
            • Highly organized
            • -
            -

            Outcomes

            -
              -
            • Collect, validate and prepare Data to support model training and other ML/AI development processes
            • -
            • Consistently deliver high quality annotated data
            • -
            • Become an owner of Ada’s data annotation processes and help to scale them
            • -
            • Refine the annotation tasks and guidelines based on the experience acquired through the inspection of large amounts of data
            • -
            • Create clear and concise documentation to document progress and processes
            • -
            -

            Nice to have

            -
              -
            • Proficiency in other languages
            • -
            • Interested in human language
            • -
            • Interested in technology
            • -
            -

            Benefits

            -
              -
            • Competitive salary and generous stock option plan
            • -
            • Unlimited vacation
            • -
            • Wellness account
            • -
            • Extended health coverage
            • -
            • Dental/optical/travel insurance
            • -
            • Life insurance
            • -
            • Employee and family assistance plan
            • -
            -

            Perks

            -
              -
            • Flexible work schedule
            • -
            • Remote-first, In-person friendly work environment with WFH budget
            • -
            • Paid parental leave for Canadian residents
            • -
            • Development opportunities

              -
            • +

              You are someone with:

              +
              • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
              • Good understanding of ML and Al concepts. Hands-on experience in ML model development.
              • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google Al Platform, Azure Machine Learning, Databricks, DataRobot, MLFlow).
              • Strong experience in Python and PySpark, used both for ML and automation tasks.
              • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
              • Experience with Kubernetes and the ecosystem of Cloud Native tools.
              • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
              • Strong oral and written communication skills
              • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
              • Experience with Azure and/or AWS platforms is an asset
              • Project management experience is an asset
              • Professional services, consulting, or advisory experience is an asset
              -

              The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

              -

              #LI-NS1

            -
            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -

            -
            ",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,feed-importer@jobboard.io,,,,2024-11-03T18:30:04.897Z,False,0,7,32,https://talenthub.vectorinstitute.ai/jobs/343662418-data-annotation-specialist-machine-learning-at-ada,,published,2024-09-26T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, +
            +

            Total Rewards

            +


            The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            +
            +
            +

            +

            Our promise to our people: Deloitte is where potential comes to life.

            +

            +

            Be yourself, and more.

            +

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            +

            You shape how we make impact.

            +

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

            +

            Be the leader you want to be

            +

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            +

            Have as many careers as you want.

            +

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

            The next step is yours

            +

            +

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            +

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-20T18:15:32.589Z,False,0,19,91,https://talenthub.vectorinstitute.ai/jobs/347118899-machine-learning-ml-engineer-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,published,2024-10-21T16:38:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, 3d837a1c-2e2e-4295-bf35-6800b8a5e9d8,345515671,Roche,Sr. Data Engineer,on_site,"Ontario, Canada",2024-10-08T08:58:01.480Z,"

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            @@ -30960,124 +32155,6 @@ afe29354-c516-4ff6-9f9c-8058df847304,343662418,Ada,Data Annotation Specialist -

            Roche is an Equal Opportunity Employer.

            ",,https://careers.roche.com/global/en/job/202405-112448/Sr-Data-Engineer,feed-importer@jobboard.io,,,,2024-11-09T15:34:58.472Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/345515671-sr-data-engineer-at-roche,,published,2024-10-08T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -4a9a1d19-f7ac-4b80-bfc8-ed980c2da446,342896292,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Ontario, Canada",2024-09-20T16:35:02.261Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126337
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Calgary, AB; Montreal, QC; Vancouver, BC

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            -
            -
            -
            -

            What will your typical day look like?

            -
            -

            Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

            -

            -

            As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

            -

            -

            We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
            • Risk Data Strategy & Architecture
            • Risk Data Modelling & Engineering
            • Risk Data Analytics, Reporting & Insights
            • Risk Data Governance & Management

            -

            -

            The successful candidate will have responsibility to:
            • Support our clients to grow responsibly through the use of applied data and analytics.
            • Support the industry leadership in growing our risk analytics business.
            • Support the establishment of a repeatable analytical models and approaches for clients.
            • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
            • Manage and support team members in the delivery of work
            • Build strong relationships with key Deloitte team members and clients.
            • Enhance the value of our deliverables and the insights provided by our work.
            • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
            • Work with existing clients to design and develop programs for data and analytics.
            • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
            • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

            -
            -
            -
            -

            About the team

            -

            We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

            -
            -
            -

            Enough about us, let’s talk about you

            -

            In this role, the expected qualifications are:

            • Exceptional planning, organization, project and people management skills.
            • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
            • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
            • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
            • Experience in Financial Services Industry in a consulting or industry capacity
            • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
            • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
            • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
            • Experience in working with analytical, visualization and data engineering capabilities
            • Experience in working with cloud capabilities is an asset
            • Ability to own and drive initiatives in many different and challenging environments.
            • Ability to understand client needs and deliver value through proven and innovative approaches.
            • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
            • Ability to work in a fast paced and demanding environment, both independently and in a team setting
            • Ability to establish priorities and meet challenging deadlines
            • Curiosity and comfortability with ambiguity
            • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
            • Willingness/flexibility of traveling to client locations, as required

            -
            -
            -

            Total Rewards

            -


            The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:05:30.220Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/342896292-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,published,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -a11abb0e-7829-4a92-8c4d-8908cda2e2c2,342896289,Deloitte,"Manager/Senior Manager, AI Governance, Risk and Data",on_site,"Ontario, Canada",2024-09-20T16:35:02.040Z,"

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126325
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON

            -
            -

            -

            Our Purpose

            -

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            - -
            -
            -
            -

            --

            -
            -
            -
            -

            What will your typical day look like?

            -
            -

            Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Consultant or Senior Consultant who will help deliver on our ambitious plans to grow our practice.

            -

            -

            We are seeking an experienced professional with an experience in Data and AI, with a strong focus on responsible AI, data & AI risk management, and regulatory compliance. The ideal candidate will have a proven track record of generating and managing a portfolio of AI enablement services. This role includes developing and nurturing client relationships, leading project teams, coaching and mentoring professionals, and maintaining a continuous focus on personal and professional growth. The role will have full life-cycle responsibility over Responsible AI, strategy, and AI Risk, including identifying opportunities, proposal development, project delivery, team leadership, and ensuring the quality of project deliverables.

            -

            -

            The successful candidate will have responsibility to:

            -
            • Develop and execute comprehensive AI strategies that align with clients' goals, mission, and vision. Embed risk management frameworks into the AI lifecycle to ensure compliance with regulatory requirements.
            • Support our clients to grow responsibly through the use of applied data and analytics.
            • Contribute to the development of thought leadership in the field of responsible AI, data & AI risk management, and regulatory compliance. Support the industry leadership in growing our AI governance and risk analytics business.
            • Stay abreast of industry trends, technology innovations, and AI regulatory requirements. Ensure all AI solutions comply with relevant laws and regulations.
            • Support the establishment of a repeatable analytical models and approaches for clients.
            • Identify opportunities for new business, develop proposals, and assist in pursuit efforts to secure new engagements. Work with other Deloitte functions to further the use of data & analytics in go to market activities.
            • Coach and mentor team members, fostering a culture of continuous learning and professional growth. Provide guidance and support to help team members in delivery and achieve their career goals.
            • Ensure the highest levels of quality in project deliverables, maintaining the standards expected of a leading professional services firm.
            • Have a clear understanding of the firm's commitment to creating a more inclusive culture.
            • -
            -
            -
            -
            -

            About the team

            -

            We are the one of the largest Risk Advisory practices in Canada. Our Data and Analytics team is a key capability within Risk Advisory. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            In this role, the expected qualifications are:

            -
            • Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Data Science, or Machine Learning.
            • Minimum 6 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships, people and management skills.
            • Minimum 6 years (Manager) / 8 years (Senior Manager) of professional experience in data and AI, with a primary focus on responsible AI, data & AI risk management, and regulatory compliance.
            • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
            • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail.
            • Structured problem solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions.
            • Proven experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications.
            • Strong data science and/or data engineering experience. Strong knowledge of AI technologies and frameworks.
            • Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
            • Team player with the ability to work in a hybrid model (on-site and remote).
            • -
            -
            -
            -
            -

            Total Rewards

            -


            The salary range for this position is $97,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            -
            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

            -

            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

            The next step is yours

            -

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AI-Governance%2C-Risk-and-Data-ON/1175252600/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:02:39.930Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/342896289-manager-senior-manager-ai-governance-risk-and-data-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AI-Governance%2C-Risk-and-Data-ON/1175252600/,published,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, 77950806-72ef-457c-a701-d7a29dbd36fa,344287956,Scotiabank,"Audit Manager, Model Risk Audit",on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.995Z,"

            @@ -31094,126 +32171,65 @@ a11abb0e-7829-4a92-8c4d-8908cda2e2c2,342896289,Deloitte,"Manager/Senior Manager,
            • Degree in STEM area such as Math, Statistics, Economics, Business etc.

            • 1+ years of relevant experience in Data Analytics, Advanced Analytics, Predictive Modelling and Artificial Intelligence and Machine Learning.

            • 1+ years of work experience in Credit and Fraud Risk Management. Experience in risk strategy and model development.

            • Understanding of and experience in retail and Business Banking Credit Risk AIRB parameters (PD, LGD, EAD), Stress Testing (Loss, PPNR), IFRS 9/CECL. Scorecards, AML and Fraud Detection Models.

            • Strong knowledge of data analysis, modelling techniques, statistical tests and tools (SQL, SAS, R, Python etc.)

            • Developed interpersonal and communication skills (verbal and written) to work with staff and management at various levels. Ability to work on multiple projects at any given time and work in high levels of ambiguity and changing environment.

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Model-Risk-Audit-ON/584932117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T19:32:24.356Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/344287956-audit-manager-model-risk-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Model-Risk-Audit-ON/584932117/,published,2024-09-30T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -afe29354-c516-4ff6-9f9c-8058df847304,343662418,Ada,Data Annotation Specialist - Machine Learning,on_site,"Ontario, Canada",2024-09-26T08:58:04.042Z,"
            -
            -
            -
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            -
            -
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
            -
            -
            -

            As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

            -

            We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

            -

            About You

            - -

            Outcomes

            - -

            Nice to have

            - -

            Benefits

            - -

            Perks

            - -

            The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            -

            #LI-NS1

            -
            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Model-Risk-Audit-ON/584932117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-11-06T19:32:24.356Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/344287956-audit-manager-model-risk-audit-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Audit-Manager%2C-Model-Risk-Audit-ON/584932117/,published,2024-09-30T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +eafa9461-757b-423a-83f8-0ac0ea46e08a,344972400,Deloitte,"Senior Manager, Data Governance",on_site,"Ontario, Canada",2024-10-04T16:36:02.264Z,"

            +

            Job Type: Permanent
            Reference code: 126959
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

            -

            About Us

            -

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            -

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            -

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            -

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            -

            -
            -",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,feed-importer@jobboard.io,,,,2024-11-03T18:30:04.897Z,False,0,7,32,https://talenthub.vectorinstitute.ai/jobs/343662418-data-annotation-specialist-machine-learning-at-ada,,published,2024-09-26T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -1a3e923e-f822-4d8f-a132-bd213da64fe8,343307867,Magna International,Senior Data Scientist,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2024-09-23T16:41:02.184Z,"
            -
            -

            About the Role

            -

            The Senior Data Scientist will be a key member of the data analytics team. In this role, you will use your expertise to solve data related challenges in manufacturing operations and vehicle data analysis. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

            +

            Our Purpose

            +

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.
            Have many careers in one Firm.
            Partner with clients to solve their most complex problems
            Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.

            -
            -

            Your Responsibilities

            -

            · Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.

            -

            · Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.

            -

            · Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.

            -

            · Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.

            -

            · Leverage internal and external expertise as required.

            -

            · Regularly interface with senior management to provide project updates.

            -

            · Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.

            -
            -
            -

            Who we are looking for

            -
            -

            · Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or a closely related education with 7+ years of experience in industry with a focus on data analytics and/or computer vision.

            -

            · Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science, or a closely related education with 10+ years of experience in industry with a focus on data analytics and/or computer vision.

            -

            · PhD preferred

            -
            +

            --

            +
            -

            Your preferred qualifications

            +

            What will your typical day look like?

            -

            · Experience with a wide variety of ML and AI techniques and algorithms

            -

            · Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation

            -

            · Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda

            -

            · Knowledge of C++

            -

            · Experience with agile project management and related tools such as Confluence and JIRA

            -

            · Experience with cloud-based tools by Microsoft, AWS, Databricks

            -

            · Analytic tools and languages for statistical and machine learning models, especially Python

            -

            · Deep Learning frameworks and tools such as TensorFlow

            -

            · Data management using PySpark and SQL

            -

            · DevOps – GIT, Docker, CI/CD

            -

            -

            Accommodations for disabilities in relation to the job selection process are available upon request.

            -

            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

            +

            In service of Deloitte’s journey to becoming a true data-driven organization, we are expanding data and analytics capabilities, delivering value, improving performance, and reducing risk for our clients, our firm, and our people. We are also supporting our engagement teams as they help clients navigate the new risks resulting from increased data and artificial intelligence technologies. For this role, we are seeking a Senior Manager, who will help develop and promote data governance capabilities in support of this ambition.

            We are seeking an experienced professional with experience in implementing Data Governance operating model(s), with a strong focus on responsible AI, data & AI risk management, and regulatory compliance. The ideal candidate will also have a proven track record leading project teams implementing data governance-data management platforms and data literacy/upskilling programs, coaching and mentoring professionals, and maintaining a continuous focus on personal and professional growth.

            The successful candidate will have responsibility to:

            +

            Develop and execute comprehensive Data Governance strategies that align with the firm's goals, ambition, and vision. Embed data quality, metadata management and other risk management frameworks into the data lifecycle to ensure compliance with corporate and regulatory requirements.

            +

            Coach and mentor Domain and Data Stewards on Data Governance Operating Model vision, fostering a culture of continuous learning and professional growth. Provide guidance and support to help Data Governance team members in the delivery of data stewardship services and achieve their career goals.

            +

            Help prepare for and facilitate Data Office Steering Committee, Data Council and Data Governance Working Group meetings.

            +

            In collaboration with the technical project team, ensure the implementation and adoption of data catalogue and data governance platform/capability.

            +

            Identify opportunities for enhancing existing data management capabilities and assist in preparation of business case to secure investment. Work with other Deloitte functions to further the use of newly introduced/enhanced data management capabilities.

            +

            On a day-to-day basis, support the technology and client engagement teams in adopting data governance best practices.

            +

            Contribute to the development of thought leadership in the field of Data Governance, responsible AI, data & AI risk management, and regulatory compliance.

            +

            Stay abreast of industry trends, technology innovations, data and AI regulatory requirements.

            +

            Have a clear understanding of the firm's commitment to creating a more inclusive culture.

            -

            What we offer

            -

            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

            +

            About the team

            +

            The PCO’s mission is to enable Deloitte’s strategic success through the responsible use of data. By strengthening Deloitte’s culture of privacy and confidentiality, we look to protect, preserve, and enhance the Deloitte brand with everything we do. We are looking for exceptional new team members to help us achieve these goals. We develop, deliver, and monitor initiatives to enhance mitigation for our most strategic risks, acting as an advisor to the business as all Deloitte professionals work to protect, preserve, and enhance Deloitte’s reputation as an industry leader for privacy and confidentiality. We have team members across Canada and Chile.

            -

            Site Benefits

            -
            +

            Enough about us, let’s talk about you

            +

            • Bachelor’s degree in Business, Computer Science and/or relevant education and work experience in Data Analytics, Data Science, or Machine Learning.
            • Minimum 5 years of direct professional experience in data governance and data management roles.
            • Minimum 5 years of experience of managing, strengthening, and broadening key relationships, people and management skills, which includes exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts.
            • Strong attention to detail, structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions.
            • Ability to stay updated with industry trends, data and AI regulatory requirements, and quickly adapt to new technologies.
            • Team player with the ability to work in a hybrid model (on-site and remote).
            Due to the nature of the role having interactions with National & Global clients, English is required for this position.

            -

            Awareness. Unity. Empowerment.

            -

            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

            +

            Total Rewards

            +


            The salary range for this position is $104,000 - $215,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -
            ",,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/584801117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-23T17:53:18.462Z,False,0,16,70,https://talenthub.vectorinstitute.ai/jobs/343307867-senior-data-scientist-at-magna-international,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/584801117/,published,2024-09-23T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, + +

            +

            Our shared values

            +

            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

            +

            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

            +

            Every day, we live our Purpose through the following five shared values:

            + +



            The next step is yours

            +

            Sound like The One Firm. For You? Apply by [insert date].

            +

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            +

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager%2C-Data-Governance-ON/1208369200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-11-03T18:59:16.409Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/344972400-senior-manager-data-governance-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager%2C-Data-Governance-ON/1208369200/,published,2024-10-04T16:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, 1dcff2d2-4997-4134-824b-609bce055e28,346258812,Roche,Senior Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-10-14T08:58:02.237Z,"

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            @@ -31262,7 +32278,7 @@ afe29354-c516-4ff6-9f9c-8058df847304,343662418,Ada,Data Annotation Specialist -

            Roche is an Equal Opportunity Employer.

            -",,https://careers.roche.com/global/en/job/202410-125066/Senior-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-11-15T15:21:41.582Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/346258812-senior-bioinformatics-software-engineer-at-roche,,published,2024-10-14T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +",,https://careers.roche.com/global/en/job/202410-125066/Senior-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-11-15T15:21:41.582Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/346258812-senior-bioinformatics-software-engineer-at-roche,,published,2024-10-14T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, ed080cfb-b859-4cca-82a7-b90d473ccaac,346257790,Sun Life Financial,"Director, Senior Data Analyst, Office of Chief Investment Officer - SLC Management",on_site,"Ontario, Canada",2024-10-14T08:50:01.993Z,"

            SLC Management is a growing global asset management firm providing innovative and diversified investment solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1300 organizations. Our history of organic and strategic growth reflects this commitment with over CA$374/US$283 billion in assets under management (AUM). As a subsidiary of Sun Life, we are aligned with one of the world’s leading financial services companies, and benefit from the stability and strength of that relationship.

            @@ -31348,132 +32364,7 @@ Understanding of common statistical methods and their real-world applications. <

            All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

            For applicants residing in California, please read our employee California Privacy Policy and Notice.

            -
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Wellesley-Hills-Massachusetts/Director--Senior-Data-Analyst--Office-of-Chief-Investment-Officer---SLC-Management_JR00103259-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-15T15:20:18.118Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/346257790-director-senior-data-analyst-office-of-chief-investment-officer-slc-management-at-sun-life-financial,,published,2024-10-14T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -29330231-38f8-4351-9ea5-b6f2598a93ab,346633830,RBC,"Senior Big Data Developer, GFT",on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.486Z,"
            -

            Job Summary

            -

            -

            -

            Job Description

            -

            What Is The Opportunity?

            -

            Individual will work as a Senior Big data Developer with Capital Risk Measurement Team, delivering services to implement technical and business needs, and working closely with various partners across IT and business. We are looking for a curios full stack developer/leads with a passion for problem solving and have proven track records of successful deliveries building complex systems.

            -

            -

            What Will You Do?

            - -

            -

            What Do You Need To Succeed?

            -

            Must have

            - -

            -

            Nice-to-have:

            - -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -

            -

            #LI-Hybrid

            -

            #LI-POST

            -

            -

            -

            Job Skills

            Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

            -

            -

            -

            Additional Job Details

            -

            Address:

            RBC CENTRE, 155 WELLINGTON ST W:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            TECHNOLOGY AND OPERATIONS

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-01

            Application Deadline:

            2024-10-26

            -

            -

            -

            -

            -
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            -

            -

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000099163/Senior-Big-Data-Developer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-11-16T15:47:02.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/346633830-senior-big-data-developer-gft-at-rbc,,published,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -21d4c6e5-077b-47c8-ad26-c36c93c6c54e,343277470,TELUS,Senior Data Analyst,on_site,"Ontario, Canada",2024-09-23T08:58:01.901Z,"
            -
            -

            Join our team and what we\'ll accomplish together

            -
            -

            -

            The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

            -

            -

            We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

            -

            -

            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

            -

            -

            You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

            -

            -

            As a Senior Data Analyst on the team, you will combine your expert knowledge of data analytics and visualization with business acumen to create reporting tools to facilitate data exploration, analytics, to enable data-driven decision making for business stakeholders.

            -
            -
            -
            -

            What you\'ll do

            -
            -

            -
              -
            • Tackle complex data analysis challenges, working with big data to uncover key insights that drive business outcomes.
            • -
            • Write SQL code involving multiple tables and aggregations, ensuring optimal query performance.
            • -
            • Design and develop robust data models that effectively organize and structure data to support complex queries, reporting, and analytics. Ensure models are scalable, maintainable, and aligned with business requirements.
            • -
            • Lead the development of visually compelling, interactive dashboards and reports using tools like Looker, DOMO, and Tableau. Transform raw data into easy-to-understand insights that directly impact decision-making. Create user-friendly data visualizations that communicate complex information effectively to a diverse audience, from executives to operational teams.
            • -
            • Engineer end-to-end data solutions primarily on GCP services like BigQuery, GCS, Cloud Composer, and Looker, ensuring seamless integration and performance.
            • -
            • Engage with various business stakeholders to gather requirements, develop dashboards and reports, and ensure the delivery of actionable insights.
            • -
            • Lead a team of developers towards the implementation of operational and partnership dashboards using Looker, to help the leadership make informed data-driven decisions
            • -
            -

            -

            -
            -
            -
            -

            What you bring

            -
            -

            -
              -
            • 6+ years in roles such as Data Analyst, Business Intelligence Analyst, Data Engineer, or similar, with a strong focus on SQL and data modeling
            • -
            • Expertise in creating and managing interactive dashboards and reports using leading BI tools such as Looker, DOMO, and Tableau. Ability to transform data into actionable insights for business stakeholders
            • -
            • Strong experience with relational database systems, particularly BigQuery, Oracle, and SQL Server. Demonstrated ability to write complex SQL queries and optimize database performance
            • -
            • Strong ability to identify requirements and build reporting solutions in collaboration with stakeholders
            • -
            • Exceptional attention to detail, with the ability to prioritize, multi-task, and meet tight deadlines in a fast-paced environment
            • -
            • Proven track record of driving data-based decisions in a consultative style with executive and senior management stakeholders
            • -
            -


            Great-to-haves

            -

            -
              -
            • Post-secondary degree in Computer Science, Engineering, or a related field
            • -
            • 5 years of experience in the telecom industry
            • -
            • Certifications in Data Engineering or Business Intelligence technologies
            • -
            -

            -

            -
            -
            -
            ",,https://careers.telus.com/job/Toronto-Senior-Data-Analyst-ON-M5J-2V5/584577917/,feed-importer@jobboard.io,,,,2024-10-23T17:29:47.029Z,False,0,10,70,https://talenthub.vectorinstitute.ai/jobs/343277470-senior-data-analyst-at-telus,,published,2024-09-23T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Wellesley-Hills-Massachusetts/Director--Senior-Data-Analyst--Office-of-Chief-Investment-Officer---SLC-Management_JR00103259-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-11-15T15:20:18.118Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/346257790-director-senior-data-analyst-office-of-chief-investment-officer-slc-management-at-sun-life-financial,,published,2024-10-14T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, 38d28e32-2fea-4056-ac3e-f07e0507f654,347118904,EllisDon,Data Scientist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2024-10-21T16:41:01.854Z,"

            Job Details

            Description

            Connect with us LinkedIn, Instagram, Facebook, Twitter

            Thinking about a change?

            @@ -31511,7 +32402,7 @@ Understanding of common statistical methods and their real-world applications. <

            We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

            Qualifications

            Skills

            Behaviors

            :

            Motivations

            -:

            Education

            Experience

            Licenses & Certifications

            ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ac573e94-a1eb-48f1-90c4-bd8c060719ed,feed-importer@jobboard.io,,,,2024-11-20T18:16:14.783Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/347118904-data-scientist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ac573e94-a1eb-48f1-90c4-bd8c060719ed,published,2024-10-21T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, +:

            Education

            Experience

            Licenses & Certifications

            ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ac573e94-a1eb-48f1-90c4-bd8c060719ed,feed-importer@jobboard.io,,,,2024-11-20T18:16:14.783Z,False,0,29,104,https://talenthub.vectorinstitute.ai/jobs/347118904-data-scientist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ac573e94-a1eb-48f1-90c4-bd8c060719ed,published,2024-10-21T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, 1065d8c6-468f-43a8-9998-c070d62beeaa,347103882,CIBC,AI and Data Science,on_site,"Ontario, Canada",2024-10-21T10:04:02.017Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            @@ -31568,83 +32459,70 @@ Understanding of common statistical methods and their real-world applications. <

            Job Location

            Toronto-81 Bay, 21st Floor

            Employment Type

            Regular

            Weekly Hours

            37.5

            -

            Skills

            Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-20T16:18:35.290Z,False,0,7,21,https://talenthub.vectorinstitute.ai/jobs/347103882-ai-and-data-science-at-cibc,,published,2024-10-21T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -abd57b67-10e3-45ec-affc-44f454b952c2,346633916,Thomson Reuters,Applied Research Intern (NLP/ML/GenAI),on_site,"Ontario, Canada",2024-10-17T08:27:02.641Z,"
            JOB DESCRIPTION
            -
            -

            Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an applied scientist intern with a passion for problem-solving using state-of-the-art ML/NLP/IR/GenAI techniques.

            -

            -

            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

            -

            -

            As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in ML/NLP/IR/GenAI, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

            -

            -

            The internship duration at Thomson Reuters Labs is typically up to 6 to 8 months and may be aligned with one or two academic semesters or depending upon your availability.

            -

            -

            About the role

            -

            As an Applied research intern, you will:

            +

            Skills

            Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-11-20T16:18:35.290Z,False,0,17,43,https://talenthub.vectorinstitute.ai/jobs/347103882-ai-and-data-science-at-cibc,,published,2024-10-21T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +afe29354-c516-4ff6-9f9c-8058df847304,343662418,Ada,Data Annotation Specialist - Machine Learning,on_site,"Ontario, Canada",2024-09-26T08:58:04.042Z,"
            +
            +
            +
            At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
            +
            +
            Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +
            +
            +
            +

            As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

            +

            We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

            +

            About You

            -


            About You:

            -

            Basic Qualifications:

            -
            ",,https://careers.thomsonreuters.com/us/en/job/JREQ183387/Applied-Research-Intern-NLP-ML-GenAI?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-11-16T15:52:45.692Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/346633916-applied-research-intern-nlp-ml-genai-at-thomson-reuters,,published,2024-10-17T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +

            The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

            +

            #LI-NS1

            +
            +
            +

            About Us

            +

            Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

            +

            We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

            +

            Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

            +

            Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

            +

            +

            +
            +",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,feed-importer@jobboard.io,,,,2024-11-03T18:30:04.897Z,False,0,8,35,https://talenthub.vectorinstitute.ai/jobs/343662418-data-annotation-specialist-machine-learning-at-ada,,published,2024-09-26T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, 21b89ee6-8991-4847-8faf-1d25ccb73653,347118819,Scotiabank,Senior Manager Regulatory Compliance and Risk Management - CID&A,on_site,Canada : Ontario : Toronto,2024-10-21T16:31:03.416Z,"

            @@ -42533,6 +43411,254 @@ a56f441a-adc7-4a97-b361-dae4891e7da5,257588190,CIBC,"Sr. Consultant, Data, Model

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/71585289-manager-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,expired,2021-07-08T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +4e00e1ae-1098-4c19-9b51-3549ef4067ef,70440004,Roche,Data Engineer,on_site,"Canada , + Ontario , + Mississauga",2021-07-01T22:33:12.915Z,"
            +

            +

            Job Title: Data Engineer

            +

            Department: Global Operations

            +

            Reports to Title: Head, Global PTS Analytics & Insights

            +

            Location: Mississauga, Ontario

            +
            +

            Who we are

            +

            Behind every presentation of each product sold by Roche is the involvement of Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes medicines at sites around the world and includes more than 10,000 employees worldwide.

            +

            +

            The PT Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organisation, delivering priority projects, advancing the analytical maturity of the organisation, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

            +

            +

            Summary

            +

            As a key role in the newly formed PT Global Analytics Hub, the Data Engineer will join and build capabilities in an Advanced Analytics centre of excellence, working with industry leading teams and technologies to build capabilities and create and implement innovative high impact solutions.

            +

            +

            The Position

            +

            Role is for a passionate driven individual to lead, guide, and influence internal customers and team members.. As an AWS Data Engineer, you will have the opportunity to work on some of the world’s most complex challenges. You will apply your deep technical expertise to solve cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.

            +

            The Data Engineer is an emerging leader with previous experience in a lead Data Engineering role. The Data Engineer will assist on larger projects or run smaller opportunities independently. A successful candidate has technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. The Data Engineer is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.

            +

            You will collaborate with industry leading talent and expertise, and with access to market leading technologies and tools, create and implement innovative high impact solutions.

            +

            +

            Job Overview

            +

            We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

            +

            Responsibilities for Data Engineer

            +
              +
            • Create and maintain optimal data pipeline architecture,
            • +
            • Assemble large, complex data sets that meet functional / non-functional business requirements.
            • +
            • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
            • +
            • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
            • +
            • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
            • +
            • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
            • +
            • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
            • +
            • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
            • +
            • Work with data and analytics experts to strive for greater functionality in our data systems.
            • +
            +

            +

            Qualifications for Data Engineer

            +
              +
            • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
            • +
            • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
            • +
            • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
            • +
            • Strong analytic skills related to working with unstructured datasets.
            • +
            • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
            • +
            • A successful history of manipulating, processing and extracting value from large disconnected datasets.
            • +
            • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
            • +
            • Strong project management and organizational skills.
            • +
            • Experience supporting and working with cross-functional teams in a dynamic environment.
            • +
            • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
                +
              • Experience with big data tools: Hadoop, Spark, Kafka, etc.
              • +
              • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
              • +
              • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
              • +
              • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
              • +
              • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
              • +
              • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
              • +
              +
            • +
            +
              +
            • Excellent problem-solving skills.
            • +
            • General understand Roche Operating Principles and business processes.
            • +
            • Mobility: Ability to travel up to 10%
            • +
            +

            +

            NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

            +

            All candidates need to be eligible to work in Canada. Sponsorship will not be offered for this role.

            +

            This role has no relocation budget assigned.

            +

            +

            We understand that some individual’s common name or gender may not coincide with the information indicated on their identification. We are committed to providing a confidential and dignified experience for all Gender Diverse applicants at the background check stage.

            +

            +

            Roche is an equal opportunity employer. Roche is committed to equity in access to employment and is a diverse and inclusive workplace. We encourage applications from racialized persons, women, Indigenous peoples, persons with disabilities, 2SLGBTQIA+ and Gender Diverse persons, neurodiverse individuals and others who may contribute to the further diversification of ideas. If you require accommodation during the recruitment process, please contact our People&Culture Representative or Talent Acquisition Partner.

            +
            ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110254&locale=en&title=Data+Engineer&source=APPLICANT_SOURCE-3-722,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,3,61,https://talenthub.vectorinstitute.ai/jobs/70440004-data-engineer-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110254&locale=en&title=Data+Engineer,expired,2021-07-01T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, +322d732b-2274-4f3e-b2b3-4b8542605bfb,70440096,Deep Genomics,Scientist Machine Learning,on_site,"Toronto, Ontario /",2021-07-01T22:33:20.369Z,"
            +
            About Us
            +
            Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.
            +

            +
            Ideal Candidate
            +
            We are seeking a creative and experienced machine learning scientist to decipher how mutations and genetic medicines influence the molecular world of the cell. The successful candidate will develop machine learning approaches for modeling complex RNA- and protein-level outcomes based on massively parallel assays. The ideal candidate has a proven track record of publishing at top machine learning conferences (NIPS, ICML, ICLR) or has applied deep learning to genomics in a top life sciences journal.
            +
            +

            Requirements/Qualifications

            +
                +
              • MSc (Junior Scientist) or PhD (Senior Scientist) trained in machine learning.
              • +
              • Extensive practical experience at systematically designing, training, debugging, and evaluating neural networks using modern frameworks such as Tensorflow, PyTorch, or Theano.
              • +
              • Excellent scientific writing and presentation skills.
              • +
              • Senior Scientists must demonstrate leadership and ability to introduce new machine learning techniques.
              • +
            +
            +

            What we offer:

            +
                +
              • A chance to develop machine learning techniques that will save human lives.
              • +
              • Inspiring, creative, and fast-moving startup work environment in downtown Toronto
              • +
              • Competitive compensation package including stock options
              • +
            +
            +
            Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
            +

            +
            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
            +

            +
            ",,https://jobs.lever.co/deepgenomics/3160c2c8-0414-457a-891d-c41b54c80dfe,feed-importer@jobboard.io,,,,2021-08-04T02:32:00.000Z,False,0,7,57,https://talenthub.vectorinstitute.ai/jobs/70440096-scientist-machine-learning-at-deep-genomics,https://jobs.lever.co/deepgenomics/3160c2c8-0414-457a-891d-c41b54c80dfe,expired,2021-07-01T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +076bff39-f8e0-4cc9-8eb5-a67b462cb8f8,70440099,Deep Genomics,(Senior) Machine Learning Engineer,full,Toronto/Boston/Remote North America only /,2021-07-01T22:33:20.516Z,"
            +
            About Us
            +
            Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
            +

            +
            Ideal Candidate
            +
            Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
            +
            +
            +

            What You’ll Be Doing:

            +
                +
              • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
              • +
              • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
              • +
              • Adapting our algorithms and architectures to best exploit modern cloud computing environments
              • +
              • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
              • +
            +
            +
            +

            What You Bring:

            +
                +
              • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
              • +
              • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
              • +
              • Experience in building, testing, training, and deploying production-ready ML workflows.
              • +
              • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
              • +
              • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
              • +
              • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
              • +
            +
            +
            +

            What we offer:

            +
                +
              • Leading role in developing the future of drug development to cure genetically defined diseases.
              • +
              • A highly competitive salary and meaningful equity compensation.
              • +
              • Exceptional opportunities for learning and growth.
              • +
              • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
              • +
            +
            +
            +
            +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
            +

            +
            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
            +
            ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-08-04T02:31:00.000Z,False,0,5,39,https://talenthub.vectorinstitute.ai/jobs/70440099-senior-machine-learning-engineer-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-07-01T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +8715b370-acd2-4f18-9ce2-2a40674a8f3d,70440220,RBC,"Manager, Portfolio Planning and Analytics",on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:05.471Z,"
            +

            What is the opportunity?

            +

            +

            As a Manager of Portfolio Planning and Analytics within the Group Risk Management (GRM) Transformation Management Office (TMO) Portfolio Management team you will be accountable for supporting an integrated, consistent/repeatable processes to better manage and action GRM’s Portfolio and technology investment opportunities. You will support the team in implementing financial governance, tracking over all spend relating to technology and business projects / programs, while ensuring alignment of the right resources to the right project/programs at the right time. You will partner with cross-functional teams across North America and work closely with Risk Area business planning group, SME’s, Risk IT, and Finance as required.

            +

            +

            What will you do?

            +

            +
              +
            • Assist with the budgeting process for several key IT cost items, which includes understanding business requirements, objectives and priorities to plan, and the prioritization and challenge selection of initiatives across GRM. Help put together Excel tables, PowerPoint slides for planning meetings
            • +
            • Help provide oversight and governance of several IT costs to ensure overall GRM financial budget is managed within the plan. Perform analysis of spend data using various methods, including run rate analysis, forecasting, and trend analysis. Compile and put together key reports that will be used by executives to assist with the management of the plan.
            • +
            • Partner with risk area to develop Objectives and Key results (OKRs) to capture and decision investment based on Benefit and/or OKR values
            • +
            • Partner with Risk Technology to implement an integrated, consistent/repeatable processes to better gauge and action GRM’s Risk Profile utilizing single source trusted data to make informed and
            • +
            • Monitor Risk & Opportunities to ensure continued focus on areas that can generate opportunities for efficiency
            • +
            • Introduce rigor in Intake Management process and facilitate a Change Management process utilizing the IRB. Facilitate sponsor awareness affecting Organizational Change for efficient planning and forecasting process
            • +
            +

            +

            What do you need to succeed?

            +

            Must Have:

            +

            +
              +
            • Advanced proficiency in Excel: Ability to extract details from multiple Excel worksheets and files, and perform analysis on the data. Ability to turn analysis into an output that highlights meaningful patterns and insight
            • +
            • Written and verbal skills and the ability to converse with various levels of the hierarchy
            • +
            • Ability to handle multiple requests and be able to prioritize competing tasks as required
            • +
            • 5+ years of accounting and/or finance experience
            • +
            • Experience with budgeting and forecasting
            • +
            +

            +

            Nice to Have:

            +

            +
              +
            • Budgeting and Project prioritization experience
            • +
            • PowerPoint
            • +
            +

            +

            What’s in it for you?

            +

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Flexible work/life balance options
            • +
            • Opportunities to take on progressively greater accountabilities
            • +
            • Access to a variety of job opportunities across business and geographies
            • +
            +

            +

            +

            +

            +

            +

            +

            Join our Talent Community
            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



            JOB SUMMARY
            City: Toronto
            Address: 155 Wellington St. W
            Work Hours/Week: 37.5
            Work Environment: Office
            Employment Type: Permanent
            Career Level: Experienced Hire/Professional
            Pay Type: Salary + Variable Bonus
            Required Travel (%): 0
            Exempt/Non-Exempt: N/A
            People Manager: No
            Application Deadline: 07/14/2021
            Platform: Group Risk Management

            Req ID: 383400
            Ad Code(s):

            +

            +

            +
            ",,https://jobs.rbc.com/ca/en/job/383400/Manager-Portfolio-Planning-and-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/70440220-manager-portfolio-planning-and-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/383400/Manager-Portfolio-Planning-and-Analytics,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +6cb335b6-5e3e-46ea-b3a0-c342c8334421,71585289,Deloitte,"Manager, AI Strategy, Omnia AI",on_site,"Toronto, ON, Canada",2021-07-08T22:33:18.865Z,"
            +

            Job Type: Permanent
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto; Montreal; Ottawa; Vancouver

            +

            +

            Partner with clients to solve their most complex business problems
            Be encouraged to deepen your technical skills…whatever those may be
            Lead projects and teams to make an impact that matters

            +

            .

            +
            +
            +
            +

            +

            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

            +
            +
            +

            What will your typical day look like?

            +
            +

            +

            As a Manager – AI Strategy, you will assume full life cycle responsibility to lead and manage client engagements and lead and AI Strategy services engagements (projects) within your focus area to deliver best-of-breed solutions for clients’ business problems. The role includes leading a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.
            In this role, you will :

            +


            • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
            • Contribute knowledge of foundational capabilities required to enable AI such data governance/management
            • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
            • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision.
            • Nurture client relationships, coach and monitor Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm

            +
            +
            +
            +

            About the team

            +
            +

            +

            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            +

            Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

            +
            +
            +
            +

            Enough about us, let’s talk about you

            +
            +

            +

            You are someone with:

            +


            • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
            • 5+ years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
            • Strong experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
            • Strong experience with Data & Analytics agile project management end-to-end, including planning & budgeting, resourcing and delivery
            • Experience with enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
            • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
            • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
            • Master of Business Administration or Masters of Management in Analytics is preferred

            +


            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

            +
            +
            +
            +

            Why Deloitte?

            +

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            +
            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
            • +
            +


            The next step is yours

            +

            Sound like The One Firm. For You?

            +

            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            +

            +

            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/71585289-manager-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,expired,2021-07-08T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, ecbaa704-573e-48c8-aa73-eaf149f1fa80,71854474,Deloitte,"Machine Learning Operations (ML Ops) Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-10T22:33:12.399Z,"

            Job Type: Permanent
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto; Ottawa; Vancouver

            Be encouraged to deepen your technical skills…whatever those may be

            @@ -44926,267 +46052,6 @@ f37dd367-de2e-4588-a07b-f3fcf4ef0d9b,94174741,Ada,Senior Machine Learning Scient

            Ada is an equal opportunity employer. In fact, diversity is what drives our success—it’s at the core of how we hire, communicate, and work. Like our platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
            ",,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,feed-importer@jobboard.io,,,,2021-12-15T19:36:25.583Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/94174741-senior-machine-learning-scientist-remote-at-ada,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,expired,2021-11-13T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -9232235e-7b85-4c3e-8e29-297666104c8c,94181798,Shopify Inc.,"Data Science Manager (Remote, Canada)",on_site,"Ontario, Canada",2021-11-13T07:06:06.575Z,"

            About the role

            -

            Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

            -

            We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.

            -

            What your role will look like:

            -
              -
            • Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data

            • -
            • Proactively identify and champion projects that solve complex problems across multiple domains

            • -
            • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business

            • -
            • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes

            • -
            • Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

            • -
            -

            -

            -

            Qualifications

            You will need to have:

            -
              -
            • 7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
            • -
            • Experience building and managing high performance data science teams
            • -
            • Experience delivering business impact through analysis and data products
            • -
            • Experience building data pipelines and driving ETL design decisions
            • -
            • Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
            • -
            • Experience creating data product strategies, shipping data products, iterating after launch, and trying again
            • -
            • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
            • -
            • Strong ability to prioritize and communicate to technical and non-technical audiences alike
            • -
            -

            It would be great if you have:

            -
              -
            • Previous experience using Spark (either via Scala or Pyspark)
            • -
            • Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
            • -
            • Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
            • -
            -
            -
            -
            -

            All your information will be kept confidential according to EEO guidelines.

            -

            If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

            -

            At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

            -

            #LI-REMOTE

            How we hire

            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
            Learn more about our hiring process -
            -
            -
            -
            ",,https://www.shopify.ca/careers/data-science-manager-remote-canada_60487190-f32f-4238-9ce6-927f91892e76,feed-importer@jobboard.io,,,,2021-11-22T16:46:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/94181798-data-science-manager-remote-canada-at-shopify-inc,,expired,2021-11-13T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -cbeada89-105e-4af9-8bc2-8ad0df777844,98213732,Shopify Inc.,"Content Writer (Data Science & Engineering) (Remote, Americas)",on_site,"Ontario, Canada",2021-12-09T07:19:02.497Z,"

            About the role

            -

            We are looking for an experienced and creative Content Writer to join our Data Science & Engineering Programs team. You’ll work under the team’s brand and communication arm, responsible for building the Shopify Data brand both externally and internally. In this role, you’ll be responsible for writing and editing data-centric content that highlights the awesome work the team is driving forward. You’ll do this by working closely with Shopify data scientists and engineers to identify and craft stories for our blog, while also partnering with internal marketing teams to create and amplify technical-first content.

            -

            To be successful in this role, you must be comfortable working in a fast-paced environment, writing technically, storytelling, being goal-oriented, managing multiple projects, and building relationships. You work well under pressure, understand what motivates data scientists and engineers, have a keen eye for great stories, and can both set and deliver on hard deadlines while simultaneously thriving in a changing environment. You are obsessed with taking technical content and transforming it into engaging stories.

            -

            If you love storytelling and are an experienced technical writer, join our team!

            -

            Responsibilities:

            -
              -
            • Write and edit technical, data-centred content for the Shopify Data blog

            • -
            • Collaborate with internal marketing teams to create and review technical-focused marketing content (e.g. social copy, landing page copy, video scripts...)

            • -
            • Work closely with Shopify data scientists and engineers to identify and write key technical stories that we should be sharing externally

            • -
            • Create and manage a content funnel, intake process and strategy for data-centered stories

            • -
            • Build relationships across Shopify Data, Engineering, and Marketing

            • -
            -

            -

            Qualifications

            Requirements for the role:

            -
              -
            • Strong writing and editing skills based on past experience in a technical writing or editorial role

            • -
            • Exceptional storytelling skills and ability to identify interesting stories

            • -
            • Ability to quickly grasp the fundamentals of a technology and turn it into a long-form story, or distill it into a few words.

            • -
            • Can own the creation of a technical piece of content from intake interview with subject matter expert, to ideation, to final copy.

            • -
            • A commitment to understanding our data audiences’ needs

            • -
            • Well-versed in building and managing a network of subject matter experts and stakeholders at multiple levels

            • -
            • High standards, an obsessive eye for detail, and a strong sense of ownership

            • -
            • Demonstrated ability to manage and deliver on deadlines

            • -
            • A self-starter who takes initiative and is excited to problem-solve

            • -
            • Proven ability to thrive on change

            • -
            -

            Bonus experience

            -
              -
            • Experience managing or writing for a technical blog

            • -
            • Background in data science or engineering

            • -
            -
            -
            -
            -

            Top Drawer Challenge:

            -

            Choose your own adventure (choose one of the below):

            -
              -
            1. In 500 words, please write a post re-introducing the algorithm behind Shopify Capital. You should explain what Shopify Capital is and how data drives the product. Please spend no more than 1 hour on this!

            2. -
            3. Go to our blog and find an article that you think could be made better with a few tweaks. Explain what’s missing, how the story could flow better or how you would write it differently.

            4. -
            -

            Application Timeline:

            -

            We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. This posting will close on December 17th.

            -

            At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

            -

            ​​​​

            -

            How we hire

            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
            Learn more about our hiring process -
            -
            -
            -
            ",,https://www.shopify.ca/careers/content-writer-data-science-engineering-remote-americas_8ec9b7f9-6c7b-43bd-95db-f8e52564a348,feed-importer@jobboard.io,,,,2021-12-20T07:24:08.211Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/98213732-content-writer-data-science-engineering-remote-americas-at-shopify-inc,,expired,2021-12-09T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -b944be08-a77f-4eee-b01a-a6d5b697794d,98862135,Loblaw Companies Ltd.,"Senior Manager, Data Platform Engineering",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-13T17:55:03.490Z,"
            -
            -
            -

            Referred applicants should not apply directly to this role.

            -

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            -

            -

            -

            Location:

            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

            -

            -

            Inspired by food? Committed to excellent service? So are we.
            At Loblaw, we are Food Lovers!
            We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

            -

            -

            Why is this role important?

            -

            Flexible hybrid work model (Remote / Office)

            -

            -

            Office Location: 1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

            -

            -

            The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

            -

            -

            Why is this role important?

            -

            Are you passionate about data? Are you hungry to solve some of the most interesting and challenging real-life use cases? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – We are changing the game in a big way!

            -

            -

            We are looking for a Senior Manager, Data Platform Engineering, with experience in building cloud-based modern data platforms from the ground up. Reporting to the Director, Data Platform Engineering, the incumbent will be responsible for providing guidance and technical leadership to a team of software and data platform engineers. He or she will be an active hands-on contributor to the development of our data platform that powers our Analytics and ML/AI capabilities.

            -

            -

            We are a highly collaborative, agile work environment, so the ideal candidate would demonstrate excellent interpersonal skills and excellent technical depth. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

            -

            -

            What You'll Do:

            -

            -
              -
            • Managing software engineers, providing support and coaching to direct reports
            • -
            • Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design sign-off
            • -
            • -Hands-on Data Engineering leadership and technical oversight in the development of real time streaming and batch data pipelines, DevOps pipelines, API gateways and build end-to-end processes supporting data ingestion, data transformations, data delivery, data quality, data timeliness. -
            • -
            • Advocate for the highest standards of technical and operational excellence. Ensure we're building highly scalable and repeatable capabilities in the best manner possible.
            • -
            • Partner with scrum master, product owners and other technical leaders on roadmap planning, sizing and estimates; ensure we're building the best scalable product possible.
            • -
            • Contributes to the development and documentation of data management standards framework.
            • -
            • Attract and nurture talent, mentor and develop a world-class engineering team.
            • -
            -

            -

            -

            What You'll Bring:

            -
              -
            • University degree in Computer Science, Mathematics, Engineering or related field.
            • -
            • People management experience and ability to build and develop a highly functional team
            • -
            • 6+ years of software engineering experience with strong focus on data.
            • -
            • 6+ years of relevant OO programming experience using Java.
            • -
            • -4+ years of experience with relational databases (Teradata, Oracle, SQL Server) -
            • -
            • -Advanced knowledge of SQL queries and optimization -
            • -
            • Experience with Linux environment and building CI/CD pipelines
            • -
            • -Ability to take initiative, multi-task and work in a fast-paced environment
            • -
            • -Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
            • -
            • A team player and self-starter, strong detail orientation is essential in this role
            • -
            -

            -

            Nice to have:

            -
              -
            • Experience working with Cloud data platforms such as
              Google Cloud Platform (Dataflow, Big Query, Apache Beam, Apache Airflow)
            • -
            • -Experience with Data Lake and Big Data Technologies (Hadoop, Hive) -
            • -
            • -Experience with data visualization and virtualization -
            • -
            • A team player and self-starter, strong detail orientation is essential in this role
            • -
            -

            -

            What You Can Expect:

            -

            We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

            -

            -

            Other perks of joining Loblaw:

            -

            o Competitive compensation and benefits package

            -

            o Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

            -

            o A flexible work environment which values balance

            -

            o Colleague Discount Program

            -

            o Tuition reimbursement Program

            -

            o Employee Share Ownership plan

            -

            o Pension Plan

            -

            -

            If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

            -

            #LI-BT

            -

            -

            COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

            -

            In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

            -

            -

            -

            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

            -

            -

            -

            -

            Employment Type:

            Full time

            -

            -

            Type of Role:

            Regular

            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

            -

            -

            Please Note:  
            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

            -
            -
            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000213596,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-12-23T18:00:07.367Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/98862135-senior-manager-data-platform-engineering-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000213596,expired,2021-12-13T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Manager,Bachelors Degree,New Posting, -0b2cd6cb-269e-4ab9-9e96-dd6b210c44b4,95031331,Intact Financial Corporation,"AI Business Analyst, Data Science, Intact Lab",on_site,"Toronto, ON, Canada",2021-11-19T04:55:29.935Z,"
            -

            Who needs insurance? Everybody. That keeps us busy. Very busy.

            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day

            Here, innovation is everyone's job. Ready to make your mark?


            -
            About the role
            -

            We are looking for an AI Business Analyst to join our Data Science team. Reporting to the manager in charge of setting up and structuring various initiatives of Intact’s Data Lab, you will work with other business analysts, with experts from different domains and with all Data Lab teams.

            Mission of the AI Business Analyst

            The Data Lab teams carry out software development projects based on artificial intelligence (AI) on behalf of the various lines of business. All teams have a roadmap of projects to complete. The Data Lab also includes a group of climate science and geospatial experts who are initiating a portfolio of AI projects related to climate risk.

            In this context, your mission as an AI Business Analyst will be:

            • To help the Data Lab families accelerate the completion of their AI projects by contributing to the implementation and execution of a strategy of opening up to the outside world that must allow access to all players in the Quebec, Ontario, Canadian and in some cases global innovation ecosystem. From the world of startups to the academic world, including solution providers and companies tackling problems similar to those of the Lab, the candidate must develop an excellent understanding of the roadmaps of the Data Lab's families in order to propose to them the collaborators who will have the greatest impact in the realization of their projects.
            • To act as Senior AI Business Analyst for the climate risk project portfolio.

            Main responsibilities:

            • Help define and deliver the Data Lab’s strategy of opening up to the outside world.
            • Develop an excellent understanding of the teams’ roadmaps and propose collaborators to accelerate their achievement.
            • Organize and structure the documentation and results of the different collaborations.
            • Contribute to the definition of the portfolio of climate risk projects, support the projects as a Senior Business Analyst and represent them in our different lines of business.
            • Act as an intermediary between the Data Lab, IT, users and different levels of management.
            • Facilitate working sessions with experts from different fields and different project stakeholders.

            -
            Qualifications
            -

            What you bring to the table:

            • University degree in a related field or relevant experience
            • At least 5 years of experience as a business analyst in an IT environment, including 2 in an AI context
            • Highly developed analytical skills facilitating problem solving
            • Support, coaching and consulting skills
            • Knowledge of the company, the insurance industry and business processes are important assets
            • Team player
            • Bilingual (English/French)

            Requirements

            • Have knowledge of applied artificial intelligence, its capabilities and limitations.
            • Be involved for at least 2 years in the local or national innovation ecosystem.
            • Be familiar with geospatial or climate science and ideally have accomplished some AI projects in these fields.

            Here are a few reasons why others have joined our team:

            • An award-winning, inspiring workplace that supports its people and recognizes great work
            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
            • A comprehensive financial rewards program that recognizes your success
            • An extensive, flexible benefits package
            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
            • A $350 annual wellness account that promotes an active lifestyle

            Flexible Work Arrangements

            Right now, we support 100% remote work, if your role permits. We anticipate that in early 2022, we’ll be moving to a hybrid approach which gives us the best of both worlds – a mix of home and in-office workdays.


            -
            Closing Statement
            -

            We are an Equal Opportunity Employer

            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

            Background Checks

            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

            Internal Candidates

            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

            Eligibility to Work in Canada

            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


            -
            Referral Bonus
            -

            This role is eligible for employee referral bonus. #myReferrals3000


            -
            LinkedIn Sponsored
            -

            #LI-IT


            -
            ",,https://careers.intactfc.com/ca/en/job/123954/AI-Business-Analyst-Data-Science-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-12-03T05:02:06.277Z,False,0,0,30,https://talenthub.vectorinstitute.ai/jobs/95031331-ai-business-analyst-data-science-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123954/AI-Business-Analyst-Data-Science-Intact-Lab,expired,2021-11-19T04:55:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -4c4e504d-a230-4bd2-85c6-934c45c0cf25,95471089,RBC,Data Engineering Manager- RBC Ventures (Ampli),on_site,"Toronto, Ontario, Canada",2021-11-21T02:40:09.156Z,"
            -

            RBC Ventures is a new kind of business – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives – to move RBC ‘beyond banking’. We’re building a world-class organization focused on designing exceptional experiences, exploring new business models and creating exponential value. In 2020, we were named by Fast Company as one of the 100 Best Workplaces for Innovators and we’re looking for team members with the curiosity to explore, the capabilities to build and capacity to help us deliver our mission.

            -

            -

            What is the opportunity?

            -

            Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineering Lead – a senior data engineer with a lot of experience building scalable, performant, secure, and observable cloud-based data platforms. In this role, you will manage a data engineering team while remaining hands-on-keyboard to solve some of Ampli’s toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning products to enable batch and real time event processing as well as advanced analytics. In short, we’re looking for folks who have built (and continue to build) a lot of cool, well-designed data services and who want to share their knowledge and experience by being a technical leader in our organization.

            -

            -

            What will you do?

            -
              -
            • Manage a team of dedicated data engineers and mentor them as they design, test, and deploy our data platform
            • -
            • Work closely with key data stakeholders, including the Product, Data Science, Insights, and Development teams with data-related initiatives and support their data engineering needs
            • -
            • Build and manage large-scale batch and real-time data pipelines using modern cloud technology
            • -
            • Clear roadblocks for your team and empower them to do their best work
            • -
            • Participate and be a thought leader in meetings with business and technical leads to help make decisions and achieve short and long-term goals while taking many factors into consideration (product roadmap, target metrics, budget constraints, operational stability, technical risk, etc)
            • -
            • Ownership and responsibility for operational best practices including effective logging, application performance monitoring, application health monitoring, and supporting issues in the production environment
            • -
            • Be an evangelist for Ampli and the RBC Ventures Tech brand both within RBC and outside of RBC
            • -
            • Work with an awesome team in a challenging but rewarding environment
            • -
            -

            -

            The ideal candidate will have experience with:

            -
              -
            • Dealing with structured and unstructured data sets, data analytics, and big data pipelines and infrastructure
            • -
            • Managing a high-performing data engineering team
            • -
            • Owning and operating a production data and analytics platform
            • -
            • Designing and implementing data infrastructure to house large sets of consumer and transaction data, leveraging AWS platform services
            • -
            • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
            • -
            • Implementing and supporting data pipelines for extraction, transformation, and modelling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
            • -
            • Preparing analytical datasets to support data modeling and machine learning use cases
            • -
            • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
            • -
            • Communicating effectively to sell stakeholders on proposed actions and solutions
            • -
            -

            -

            The superlative candidate will have experience with:

            -
              -
            • Experience in the marketing analytics space
            • -
            • Familiarity with common data science techniques and models
            • -
            • Experience working with large financial institutions
            • -
            • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
            • -
            • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
            • -
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Ability to make a difference and lasting impact
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • A world-class training program in financial services
            • -
            • Flexible work/life balance options
            • -
            • Opportunities to do challenging work
            • -
            -

            -

            RBC Ventures

            -

            Learn more about RBC Tech Jobs

            Join our Talent Community
            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.


            JOB SUMMARY
            City: Toronto
            Address: Remote
            Work Hours/Week: 37.5
            Work Environment: Office
            Employment Type: Permanent
            Career Level: Experienced Hire/Professional
            Pay Type: Salary + Variable Bonus
            Required Travel(%): 0
            Exempt/Non-Exempt: N/A
            People Manager: Yes
            Application Deadline: 11/30/2021
            Platform: Technology and Operations

            Req ID: 412800
            Ad Code(s): RBC Ventures

            -

            -
            ",,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-29T17:19:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/95471089-data-engineering-manager-rbc-ventures-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,expired,2021-11-21T02:40:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, 0e542b34-db3f-41ae-9880-02f5185bf9f5,95490090,TELUS,Junior/Senior Data Scientist,on_site,"Ontario, Canada",2021-11-21T07:07:09.154Z,"

            Description

            @@ -48139,6 +49004,259 @@ dcb5bd17-b226-4f0f-b845-f1be73bf8853,134645496,Accenture,Data Platform Engineer,

            Other Employment Statements

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097947_en&title=Data+Platform+Engineer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-07T17:00:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/134645496-data-platform-engineer-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097947_en&title=Data+Platform+Engineer,expired,2022-06-29T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +b5d68053-a09f-4bb6-ae4a-10fbb0993968,116608557,Scotiabank,Data Strategist,on_site,Canada : Ontario : Toronto,2022-03-25T05:06:07.492Z,"

            +

            +

            +

            +

            Requisition ID: 141681

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Purpose:

            +

            +

            As a Data Strategist in the Global Data and Analytics Solutions Team, you will help integrate analytics capabilities into the Bank’s digital wealth management products by developing and implementing data strategies that will help improve the customer experience.

            +



            What will you do in this role?

            +
            • Build, manage and grow relationships with Digital Wealth product, design, and engineering teams by enabling data driven decision making.
            • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Digital Wealth, other analytics teams, and the data office.
            • Measure performance during release of new iTrade web and mobile app. Understand performance trends, identify opportunities for growth, and provide actionable insights.
            • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
            • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
            • Communicate and coordinate with teams to implement data-driven strategies while measuring progress.
            • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
            • +
            +



            Are you the right person for the role?

            +

            +
            • You have a strong business acumen, and you excel at developing and communicating analytics insights
            • You are not afraid to challenge the status quo
            • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
            • You can pivot and adapt to change
            • You spend your free time tinkering with new technologies or building apps on the side
            • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
            • You have a high aptitude for diving in, taking ownership and picking up new things
            • You're eager to mentor, teach and share your ideas in a team environment
            • You have open and transparent communication style, including the ability to distil technical details into human terms
            • +
            +


            +

            Do you have the skills that will enable you to succeed in this role?

            +

            +
            • Hands-on experience with data management, performance measurement and stakeholder management.
            • University degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
            • Ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
            • Familiarity with Wealth Management industry and related products & services an asset.
            • Ability to clean, transform and visualize large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
            • Proficient in one or more statistical programming languages (eg. Python, SQL, R);practical experience with data science tools and libraries (eg. scikit-learn, Pandas, NumPy, Git etc.) is desirable.
            • Ability to use Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform). Comfortable with creating large queries.
            • Experience using visualization tools like Power BI, Tableau or QlikView.
            • Experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk.
            • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, ensemble methods, classification, regression, clustering, NLP, time series forecasting, etc.)
            • Strong project management and communication skills (both oral and written).
            • +
            +


            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-ON-M5A3X5/557817717/,feed-importer@jobboard.io,,,,2022-03-31T14:41:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/116608557-data-strategist-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-ON-M5A3X5/557817717/,expired,2022-03-25T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +9541eb81-40da-4f02-934f-63eddd8a8295,115203541,Accenture,Data Engineering Manager,on_site,"British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-03-17T22:27:06.943Z,"

            Job Description

            Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career. Business and Systems Integration professionals analyze, design and/or develop best practice business changes through technology solutions.

            +

            +

            The Work:

            + +

            +

            Job Description:

            +

            +

            Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.

            +

            +

            A professional at this position level within Accenture has the following responsibilities:

            +
            +
            Show more
            +


            +

            Qualifications

            +

            Qualifications:

            +

            +

            •Minimum 5 years of designing, building and operationalizing large scale enterprise data solutions and applications using one or more of Azure / AWS / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, HDInsights, SQL DW, DocumentDB, Search, Elastic Pool etc.

            +

            +

            •Minimum 5years of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on Azure / AWS / GCP using AZURE/customservices.

            +

            +

            •Minimum5 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.

            +

            +

            •High emphasis on consulting/client facing experience, this is a must have.

            +

            +

            •Minimum 5 years of architecting and implementing next generation data and analytics platforms on Azure / AWS / GCP.

            +

            +

            •Minimum 5 years of designing and implementing data engineering, ingestion and curation functions on Azure / AWS / GCP using AZURE native or custom programming.

            +

            +

            •Minimum 5years experience in performing detail assessments of current state data platforms and creating an appropriate transition path to Azure / AWS / GCP.

            +

            •Hands-on Azure / AWS / GCP experience with a minimum of 1 solutions designed and implemented at production scale.

            +

            +

            +

            Preferred Skills

            +

            +

            •Bachelor's degree in Computer Science, Engineering, Technical Science or 5+ years of technical architecture and build experience with large scale solutions.

            +

            •Minimum 5 years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders.

            +

            •5 years of hands-on experience designing and implementing data ingestion solutions on Azure / AWS / GCP using custom approaches.

            +

            •5 years of hands-on experience architecting and designing data lakes on Azure / AWS / GCP cloud serving analytics and BI application integrations.

            +

            •5 years of experience in designing and optimizing data models on Azure / AWS / GCP

            +

            •5 years of experience integrating AZURE security services with Azure / AWS / GCP data services for building secure data solutions.

            +

            •Minimum 5years experience introducing and operationalizing self-service data preparation tools (e.g. Trifacta, Paxata) on AZURE.

            +

            •Minimum 5 years of architecting and operating large production Hadoop/NoSQL clusters on premise or using Cloud services.

            +

            •Minimum 5 years architecting and implementing metadata management on Azure / AWS / GCP.

            +

            •Architecting and implementing data governance and security for data platforms on Azure / AWS / GCP.

            +

            •Designing operations architecture and conducting performance engineering for large scale data lakes a production environment.

            +

            •Craft and lead client design workshops and provide tradeoffs and recommendationstowards building a solutions.

            +

            •Author blog entries and whitepapers on AZURE data solutions, architecture and strategic topics.

            +
            +

            Locations

            British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
            +
            +
            +

            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

            +
            +

            Equal Employment Opportunity Statement

            +

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            +

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            +

            Requesting An Accommodation

            +

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            +

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            +

            Other Employment Statements

            +

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            +

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065538_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-03-31T14:41:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/115203541-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065538_en&title=Data+Engineering+Manager,expired,2022-03-17T22:27:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +363eb4a5-f27b-4e5b-bc54-93f34e30d2a3,115686403,Ada,Senior Machine Learning Scientist (Remote),on_site,Toronto /,2022-03-20T05:06:06.380Z,"
            +
            We’re Ada, a brand interaction platform that empowers brands to live up to their promises and have more—and more valuable—interactions with the people who love them. Our AI-powered platform has automated over 1 billion brand interactions for the world’s fastest growing enterprises, including Zoom, Facebook, and Shopify. In May 2021, we raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and officially became a global unicorn with a $1.2B valuation!
            +

            +
            The passion of our people and dedication to their craft continues to drive our dramatic global growth.
            +

            +
            Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment. You can learn more about the founding of our company here.
            +

            +
            +We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.
            +

            +
            +As Senior Machine Learning Scientist on our Machine Learning team, you will design, experiment, and deploy machine learning solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
            +

            +
            We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.
            +
            +
            +

            About You

            + +
            +
            +

            Outcomes

            + +
            +
            +
            #LI-FT
            +

            +
            Benefits
            +
            • Competitive salary and generous stock option plan
            +
            • Unlimited vacation
            +
            • Wellness account
            +
            • Extended health coverage
            +
            • Dental/optical/travel insurance
            +
            • Life insurance
            +
            • Employee and family assistance plan
            +

            +
            Perks
            +
            • Flexible work schedule
            +
            • Digital first, fully remote with WFH budget
            +
            • In-house social worker
            +
            • Paid parental leave for Canadian and U.S. residents
            +
            • Development opportunities
            +

            +
            About Us
            +
            Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.
            +

            +
            We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.
            +

            +
            With the health and safety of Ada's employees, clients and communities top of mind, effective December 1st, 2021, Ada will be requiring anyone who is traveling for work and attending Ada events to be fully vaccinated at least 2 weeks prior to travel.
            +

            +
            Ada is an equal opportunity employer. In fact, diversity is what drives our success—it’s at the core of how we hire, communicate, and work. Like our platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
            +

            +
            Ada Privacy Policy
            +
            ",,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,feed-importer@jobboard.io,,,,2022-04-01T05:11:11.793Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/115686403-senior-machine-learning-scientist-remote-at-ada,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,expired,2022-03-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, +9abb52d0-7b1c-4534-8565-05d41fc5cd3e,135459807,TD Bank Group,Business Intelligence and Reporting Analyst III,on_site,"Toronto, ON",2022-07-04T21:07:04.615Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

            +

            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

            +

            This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

            +

            Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

            +
            +

            +

            Job Description

            +
            +

            Looking for a role where career opportunity and growth keeps pace with your own initiative and growing knowledge in business intelligence?

            +

            In this role, you will work with a focused, specialized team to provide specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities. As an experienced Analyst, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

            +

            As an Analyst III, Business Intelligence & Reporting Analyst, you will:

            + +
            +

            +

            Requirements

            +
            +

            What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            + +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/15514766/business-intelligence-and-reporting-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-07T21:12:07.084Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/135459807-business-intelligence-and-reporting-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15514766/business-intelligence-and-reporting-analyst-iii-toronto-ca/,expired,2022-07-04T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +dcb5bd17-b226-4f0f-b845-f1be73bf8853,134645496,Accenture,Data Platform Engineer,on_site,"British Columbia - Vancouver,Ontario - Toronto",2022-06-29T22:46:04.631Z,"

            Job Description

            Are you ready to step up and take your technology expertise to the next level?

            +

            +

            There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

            +
            Show more
            +


            +

            Qualifications

            +

            .

            +

            Basic Qualification:

            +

            At least 2 years of strong Python development experience.

            +

            Strong SQL & Python expertise.

            +

            +

            Preferred Skills:

            + +
            +

            Locations

            British Columbia - Vancouver,Ontario - Toronto
            +
            +
            +

            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

            +
            +

            Equal Employment Opportunity Statement

            +

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            +

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            +

            Requesting An Accommodation

            +

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            +

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            +

            Other Employment Statements

            +

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            +

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097947_en&title=Data+Platform+Engineer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-07T17:00:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/134645496-data-platform-engineer-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097947_en&title=Data+Platform+Engineer,expired,2022-06-29T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, 896d5990-0b1f-4ad5-bd16-c2a3028df2bd,132768580,Borealis AI,Let's SOLVE it – Summer 2022,on_site,"Ontario, Canada",2022-06-20T21:46:02.735Z,"

            Please gather the following materials in order to proceed with your application.

            ⚠️ You will not be able to save the application once you start.

            @@ -48968,307 +50086,6 @@ ac0c1177-db38-4688-8d4b-ca9ff0d74119,213170149,TD Bank Group,Data Scientist II,o

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-10T18:33:19.696Z,False,0,8,46,https://talenthub.vectorinstitute.ai/jobs/213170149-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,expired,2023-04-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -7fcda3fe-ce76-4680-956a-b0271ebe9c75,343307682,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-23T16:30:03.094Z,"

            -

            -

            -

            -

            Requisition ID: 205922

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Term: January 2025 – May 2025

            -

            Application Deadline: September 27th, 2024

            -

            -

            Ready to Start your Journey with Scotiabank? Apply Now!

            -

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

            -

            -

            Please follow the steps below to successfully apply:

            -

            -

            Step 1: Complete your PLUM Profile here and save as a screenshot.

            -

            Step 2: Complete a short one-way video interview here.

            -

            Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

            -

            Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

            -

            -

            Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2025 Internship applications are the same. You only need to complete this one!

            -

            -

            -

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

            -

            -

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            -

            -

            Is this role right for you? In this role, you will:

            -
            • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions

            • -
            -
            • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling

            • -
            -
            • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model

            • -
            -
            • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes

            • -
            -
            • Prepare detailed documentation to outline data sources, models, and algorithms used and developed

            • -
            -
            • Present results to business line stakeholders and help implement real data-driven changes

            • -
            -
            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes

            • -
            -
            • Experiment & learn!

            • -
            -

            -

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            -
            • You are currently enrolled in post-secondary education.

            • -
            -
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.

            • -
            -
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

            • -
            -
            • You have knowledge/experience in:

            • -
            -
            1. Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)

            2. -
            -
            1. Big Data/Cloud ecosystem (e.g., GCP)

            2. -
            -
            1. Experimental design, statistical analysis, machine learning

            2. -
            -
            1. Python programming

            2. -
            -
            1. Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)

            2. -
            -
            1. UNIX tools and shell scripting

            2. -
            -
            1. SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)

            2. -
            -
            1. Visualization tools like PowerBI

            2. -
            -
            1. Kubernetes

            2. -
            -
            1. Git Workflows (Pull Request, Code Review, Branching)

            2. -
            -

            -

            What’s in it for you?

            -
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

            • -
            -
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

            • -
            -
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

            • -
            -
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Winter-2025-ON/584009917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,9,38,https://talenthub.vectorinstitute.ai/jobs/343307682-velocity-data-analyst-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Winter-2025-ON/584009917/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -bd03ba57-7314-4eff-8fa3-3479e19dc88b,342354422,Roche,Principal Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-09-16T12:47:02.686Z,"
            -

            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

            -

            -

            -

            The Position

            -

            -

            A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

            -

            -

            Creating a world where we all have more time with the people we love.

            -

            -

            That’s what makes us Roche.

            -

            -

            Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.

            -

            -

            -

            As a Principal Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

            -

            -

            Your Opportunity

            - -

            -

            Who you are

            - -

            -

            Preferred

            - -

            -

            Relocation benefits are not available for this posting

            -

            -

            #tech4lifeSoftwareDevelopment

            -

            #tech4life

            -

            #LI-Hybrid

            -

            -

            Who we are

            -

            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

            -

            -

            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

            -

            -

            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

            -
            -

            -

            Roche is an Equal Opportunity Employer.

            -
            -
            ",,https://careers.roche.com/global/en/job/202405-113384/Principal-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-09-30T09:03:03.824Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/342354422-principal-bioinformatics-software-engineer-at-roche,,expired,2024-09-16T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -9155c771-449e-4840-ba06-b3441ffd52da,340807642,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-05T16:28:05.284Z,"

            -

            -

            -

            -

            Requisition ID: 205875

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Term: January 2025 – May 2025

            -

            Application Deadline: September 27th, 2024

            -

            -

            Ready to Start your Journey with Scotiabank? Apply Now!

            -

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

            -

            -

            Please follow the steps below to successfully apply:

            -

            -

            Step 1: Complete your PLUM Profile here and save as a screenshot.

            -

            Step 2: Complete a short one-way video interview here.

            -

            Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

            -

            Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

            -

            -

            Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2025 Internship applications are the same. You only need to complete this one!

            -

            -

            -

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

            -

            -

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            -

            -

            Is this role right for you? In this role, you will:

            -
            • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions

            • -
            -
            • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling

            • -
            -
            • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model

            • -
            -
            • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes

            • -
            -
            • Prepare detailed documentation to outline data sources, models, and algorithms used and developed

            • -
            -
            • Present results to business line stakeholders and help implement real data-driven changes

            • -
            -
            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes

            • -
            -
            • Experiment & learn!

            • -
            -

            -

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            -
            • You are currently enrolled in post-secondary education.

            • -
            -
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.

            • -
            -
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

            • -
            -
            • You have knowledge/experience in:

            • -
            -
            1. Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)

            2. -
            -
            1. Big Data/Cloud ecosystem (e.g., GCP)

            2. -
            -
            1. Experimental design, statistical analysis, machine learning

            2. -
            -
            1. Python programming

            2. -
            -
            1. Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)

            2. -
            -
            1. UNIX tools and shell scripting

            2. -
            -
            1. SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)

            2. -
            -
            1. Visualization tools like PowerBI

            2. -
            -
            1. Kubernetes

            2. -
            -
            1. Git Workflows (Pull Request, Code Review, Branching)

            2. -
            -

            -

            What’s in it for you?

            -
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

            • -
            -
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

            • -
            -
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

            • -
            -
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Winter-2025-ON/583996617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,23,123,https://talenthub.vectorinstitute.ai/jobs/340807642-velocity-data-scientist-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Winter-2025-ON/583996617/,expired,2024-09-05T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -20fa5ce6-ea5b-43e9-a450-36f1dfb320e7,342710070,BMO Financial Group,"Senior Data Scientist, Wealth Campaign Analytics",on_site,"Ontario, Canada",2024-09-19T12:06:01.827Z,"
            -

            Application Deadline:

            10/12/2024

            -

            -

            Address:

            100 King Street West

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            We are looking for a talented individual to join our team in the position of Senior Data Scientist, Wealth Campaign Analytics. The role will sit on the Wealth Data Science team while supporting the Wealth Campaign Analytics Team in an end-to-end role developing predictive models for this team and assisting with sizing, execution, channel loading, performance tracking for multiple wealth campaigns. This individual will drive insights to existing campaigns and will be responsible for developing and supporting the creation of new dashboards for existing and new campaigns. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and implement advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.

            -

            -

            Key Accountabilities:

            - -

            -

            Qualifications:

            -

            Minimum Requirements:

            - -

            -

            Preferred Qualifications:

            - -
            -

            -

            Salary:

            -
            $81,600.00 - $151,200.00

            -

            Pay Type:

            Salaried

            -

            The above represents BMO Financial Group’s pay range and type.

            -

            -

            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

            -

            -

            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            -

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Data-Scientist--Wealth-Campaign-Analytics_R240021634?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-30T08:23:02.230Z,False,0,12,30,https://talenthub.vectorinstitute.ai/jobs/342710070-senior-data-scientist-wealth-campaign-analytics-at-bmo-financial-group,,expired,2024-09-19T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 1c94cbb4-873b-441a-98a3-2f1a74afb05e,26807023,Deloitte,Omnia AI: Data Engineer - Summer 2020 Co-op/Intern,on_site,"Ottawa, ON, Canada",2019-12-18T19:59:16.060Z,"

            Date Posted: Dec 13, 2019

            Reference Code: 48302-en_US

            ",,https://careers.intact.ca/ca/en/job/IFCOUS15257/Machine-Learning-Engineer-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-05-19T21:20:00.000Z,False,0,9,53,https://talenthub.vectorinstitute.ai/jobs/59091486-machine-learning-engineer-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS15257/Machine-Learning-Engineer-Intact-Lab,expired,2021-04-19T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -70166cf0-4591-461a-9eb6-3b71d55679f9,59312453,BenchSci,Staff Engineer - Data,full,Toronto or Remote (Canada or USA) /,2021-04-21T19:44:41.645Z,"
            -
            BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
            -

            -
            We are looking for a Staff Engineer to join our growing Engineering team. In this role, you will work closely with key technical partners across the organization to ensure that BenchSci’s technical infrastructure and codebase will be able to support long-term growth. Reporting to the Director of Engineering, Data & DevOps, you will provide technical leadership across several functional areas within the team, lead complex projects, participate in roadmap and project planning, and actively contribute to BenchSci's data engineering and architecture initiatives. The Staff Engineer will help foster the growth and development of other individual contributors, while also playing a key role in helping us scale as we continue to make a long-term impact on scientific discovery.
            -
            -

            You Will:

            - -
            -

            You Have:

            - -
            -

            Nice to haves, but not mandatory qualifications:

            - -
            -

            Our benefits and perks:

            - -
            -
            Here at BenchSci, these are our core values:
            -

            -
            -Focused: We focus on what will drive the greatest impact at all times.
            -
            -Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
            -
            -Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
            -
            -Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
            -
            -Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
            -

            -
            Diversity, Equity and Inclusion:
            -
            BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
            -

            -
            Accessibility Accommodations:
            -
            BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
            -
            ",,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-05-21T20:15:40.079Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/59312453-staff-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4,expired,2021-04-21T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, 1ec9646b-3668-4cea-9caa-e93873f9f9d4,59312456,Borealis AI,Research Engineer - Data Systems,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-04-21T19:44:43.316Z,"

            What’s the opportunity?

            Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

            We’re looking for an enthusiastic research engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

            @@ -62109,6 +62794,112 @@ c739256e-72de-4144-9be7-c43e50a298e6,68068645,Deloitte,"Senior Consultant, Data

            City: Toronto
            Address: 200 Bay St.
            Work Hours/Week: 37.5
            Work Environment: Office
            Employment Type: Permanent
            Career Level: Experienced Hire/Professional
            Pay Type: Salaried
            Required Travel (%): 0-25
            Exempt/Non-Exempt: N/A
            People Manager: No
            Application Deadline: 06/23/2021
            Req ID: 374938

            Posting Notes:

            ",,https://jobs.rbc.com/ca/en/job/374938/Manager-Strategic-Data-and-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-23T21:58:08.508Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/68068653-manager-strategic-data-and-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/374938/Manager-Strategic-Data-and-Analytics,expired,2021-06-14T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +03f2ff81-54f8-43ac-b54c-37bd55de3a2f,68302733,TD Bank Group,BI Specialist,on_site,"Toronto, ON",2021-06-17T15:42:11.763Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. Key objectives include driving business value, adopting key platforms, upholding reporting principles, simplifying and optimizing operations, supporting an inclusive environment and enhancing the colleague experience.

            +

            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

            +
            +

            +

            Job Description

            +
            +

            Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

            Sound good so far? Fantastic! We are looking for an experienced BI Specialist to own and deliver on a portfolio of highly complex Fraud reports/dashboards in collaboration with a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help champion best-in-class reporting and BI capabilities by measuring and driving value for business stakeholders, aligning with standardized reporting principles, reducing the overall reporting footprint and focusing on metrics that drive action, reducing risk, fostering an inclusive environment, and enhancing our colleague experience.

            As a Business Intelligence Specialist, you will:

            + +
            +

            +

            Requirements

            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/13132893/bi-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-25T15:49:13.157Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/68302733-bi-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13132893/bi-specialist-toronto-ca/,expired,2021-06-17T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +03f2ff81-54f8-43ac-b54c-37bd55de3a2f,68302733,TD Bank Group,BI Specialist,on_site,"Toronto, ON",2021-06-17T15:42:11.763Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. Key objectives include driving business value, adopting key platforms, upholding reporting principles, simplifying and optimizing operations, supporting an inclusive environment and enhancing the colleague experience.

            +

            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

            +
            +

            +

            Job Description

            +
            +

            Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

            Sound good so far? Fantastic! We are looking for an experienced BI Specialist to own and deliver on a portfolio of highly complex Fraud reports/dashboards in collaboration with a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help champion best-in-class reporting and BI capabilities by measuring and driving value for business stakeholders, aligning with standardized reporting principles, reducing the overall reporting footprint and focusing on metrics that drive action, reducing risk, fostering an inclusive environment, and enhancing our colleague experience.

            As a Business Intelligence Specialist, you will:

            + +
            +

            +

            Requirements

            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/13132893/bi-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-25T15:49:13.157Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/68302733-bi-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13132893/bi-specialist-toronto-ca/,expired,2021-06-17T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 880f149a-42c9-4224-93c4-5e547d279b85,68393071,RBC,"Senior Manager, AML Risk Analytics",on_site,"Toronto, Ontario, Canada",2021-06-17T21:53:07.361Z,"

            What is the opportunity?

            As Senior Manager, you develop machine learning and statistical solutions to assess the AML risk in portfolios of clients who present an elevated level of risk (financial & reputational), and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

            @@ -64806,93 +65597,6 @@ ecaee7a8-563f-4971-b344-5031b9ed4f98,46399751,Intact Financial Corporation,"Data

            More information about Thomson Reuters can be found on thomsonreuters.com.



            Locations
            Toronto-Ontario-Canada
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/484752/Lead-Software-Engineer-Search-Platform/,feed-importer@jobboard.io,,,,2021-02-04T14:59:52.696Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/46399830-lead-software-engineer-search-platform-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/484752/Lead-Software-Engineer-Search-Platform/,expired,2021-01-07T06:17:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -2f81d3d7-a352-454f-a737-0b62d711e58a,46399830,Thomson Reuters,Lead Software Engineer - Search Platform,on_site,Toronto-Ontario-Canada,2021-01-07T06:17:49.751Z,"
            -Job Description

            Thomson Reuters is at the leading edge of a rapidly changing relationship between information, analysis and the business decision making process. We are integrating technological advances like Artificial Intelligence into our flagship products and developing new advances to technologies. ​

            -

            The Digital Experience Platforms group at Thomson Reuters is looking for a Lead Software Engineer with Search platform expertise who will be responsible for designing, building & maintaining best in class modern search experiences by leveraging the Digital Web & Search paradigm's best practices.

            -

            -

            About the Role

            -

            In this opportunity as Lead Software Engineer- Search, you will:

            - -

            -

            About You

            -

            You are fit for the role of a Lead Software Engineer – Search if you have:

            - -

            -

            Good to have:

            - -

            -

            What's in it For You

            -

            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

            - -

            -

            -

            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            -

            -

            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            -

            Accessibility

            -

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            -

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            -

            -

            More information about Thomson Reuters can be found on thomsonreuters.com.

            -

            Locations
            Toronto-Ontario-Canada
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/484752/Lead-Software-Engineer-Search-Platform/,feed-importer@jobboard.io,,,,2021-02-04T14:59:52.696Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/46399830-lead-software-engineer-search-platform-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/484752/Lead-Software-Engineer-Search-Platform/,expired,2021-01-07T06:17:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, 0124649c-49c0-422f-a90b-bea8ec7f9fe7,46895491,RBC,Digital Analytics Manager - Google Analytics,on_site,"Toronto, Ontario, Canada",2021-01-11T06:17:33.559Z,"

            What is the opportunity?

            The Wealth Management Digital Analytics team offers the opportunity to leverage RBC’s significant data assets to develop innovative solutions in support of RBC’s Digital transformation. The team has a broad mandate to support the evolution of the RBE Wealth Management’s public websites, secure website and mobile apps using data. Joining the Wealth Management Digital Analytics team as a Digital Analytics Implementation Manager, you will have the opportunity to provide best-practices recommendations regarding tagging and implementation of mobile analytics. You will deploy and develop customized technical solutions to enable the implementation of digital analytics across all channels.

            @@ -67526,6 +68230,44 @@ eafb7f5d-79ac-4c7a-99e1-a40663079a83,121274154,League,Senior Data Scientist,on_s

            You can also follow us on Twitter or LinkedIn to learn more about us.

            Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

            ",,https://www.canvass.io/careers/machine-learning-engineer,feed-importer@jobboard.io,,,,2022-04-27T13:45:16.067Z,False,0,9,78,https://talenthub.vectorinstitute.ai/jobs/116952949-machine-learning-engineer-at-canvass-analytics-inc,,expired,2022-03-27T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,New Posting, +90c9d0c6-8d5e-409c-8cbf-49ebce6e3bad,116632740,Shopify Inc.,"Senior Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-03-25T07:33:16.727Z,"

            About the role

            +

            Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

            + +

            +

            Qualifications

            While our teams value specialized skills, they\'ve also got a lot in common. We\'re looking for a(n):

            +
              +
            • High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact.
            • +
            • Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders.
            • +
            • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
            • +
            • Solid software engineer: experienced in building and maintaining systems at scale.
            • +
            +

            A Senior Data Developer at Shopify typically has 4-6 years of experience in one or more of the following areas:

            +
              +
            • Working with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
            • +
            • Query optimization, resource allocation and management, and data lake performance (Presto, SQL)
            • +
            • Cloud infrastructure (Google Cloud, Kubernetes, Terraform)
            • +
            • Security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
            • +
            • Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
            • +
            • Building full-stack applications (Ruby/Rails, React, TypeScript)
            • +
            • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
            • +
            • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)




              #Senior Software Developer- Distributed Systems #Senior Software Developer- Data Engineering #Senior Data App Developer #Senior Data Reliability Engineer #Senior Software Developer- Reliability
            • +
            +
            +
            +
            +

            #LI-REMOTE

            +

            Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

            +

            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

            +

            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

            How we hire

            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
            Learn more about our hiring process +
            +
            +
            +
            ",,https://www.shopify.ca/careers/senior-data-engineer-remote-canada_767261d1-3030-4bb3-894a-242c550f4f1a,feed-importer@jobboard.io,,,,2022-04-27T13:48:54.454Z,False,0,0,36,https://talenthub.vectorinstitute.ai/jobs/116632740-senior-data-engineer-remote-canada-at-shopify-inc,,expired,2022-03-25T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, 47afe954-9aaa-4b40-90ef-c4f8801a3687,122253718,Bell Canada,Data Analyst Business Intelligence,on_site,"Mississauga, Ontario",2022-04-23T14:18:08.543Z,"

            Req Id: 366951

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            @@ -70319,104 +71061,6 @@ af66a3c9-d534-4811-8a6d-10a29a354285,156497827,Omers,"Cloud Engineer, Data Platf

            CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

            ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8997?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-20T15:12:00.000Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/154076343-specialist-data-engineering-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Senior Level,Masters Degree,New Posting, -3515267e-0809-49ca-8349-3b33c9f3f110,154076343,CN,Specialist- Data Engineering,on_site,"Ontario, Canada",2022-09-30T07:35:01.889Z,"
            -

            -

            At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

            -

            Job Summary

            -

            The Specialist Data Engineering is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Specialist Data Engineering develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

            -

            Main Responsibilities

            -

            Data Engineering – 60%

            -

            · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

            -

            · Optimize CN’s data architecture to support the next generation of products and data initiatives

            -

            · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

            -

            · Build data and domain event models, implement business rules, and engineer scalable data pipelines

            -

            · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

            -

            · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

            -

            · Integrate analytics and data science results with business processes

            -

            · Promote effective data management practices

            -

            Data Design - 10%

            -

            · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

            -

            · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

            -

            · Design and develop processing pipelines that ingest data into Data Hubs

            -

            · Provide day-to-day support and technical expertise to both technical and non-technical teams

            -

            · Participate in building data engineering expertise and framework

            -

            · Translate business needs into technical requirements

            -

            Data Development - 10%

            -

            · Acquire, ingest and process data from multiple sources and systems

            -

            · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

            -

            · Conduct metadata management, data cleansing and preparation

            -

            · Produce well documented quality codes

            -

            Data Operations - 10%

            -

            · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

            -

            · Build monitoring and debugging tools to analyze data pipelines

            -

            · Help unify software development and operations seamlessly, efficiently, and cost effectively

            -

            · Improve software quality, automate processes, and accelerate software releases

            -

            Data Quality Assurance - 10%

            -

            · Use Agile development practises for code reviews and testing to develop and deliver data pipelines

            -

            · Develop and implement test plans and scripts for various data quality processes

            -

            · Maintain manual and automated test scripts

            -

            Working Conditions

            -

            The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

            -

            -

            Requirements

            -

            Experience

            -

            Data Engineering

            -

            · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

            -

            · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

            -

            · Experience with Scala or Java

            -

            · Experience with SQL and NoSQL technologies

            -

            · Fluent in writing, executing, and optimizing SQL queries

            -

            · Experience with Big Data technologies such as Hive and Spark

            -

            · Experience with Cloud platforms such as Azure, Google Platform or Databricks

            -

            · Experience with Linux and shell scripting or Python

            -

            · Experience in data profiling

            -

            · Develop clean and maintainable code in a CI/CD environment (DevOps)

            -

            · Experience in writing unit tests

            -

            · Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements

            -

            . Experience working in an Agile team environment

            -

            -

            Education/Certification/Designation

            -

            · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

            -

            · Google or Azure Data Engineering certification*

            -

            *Any designation for these above would be considered as an asset

            -

            Competencies

            -

            · Inspires others with impactful communications and adapts to the audience through speech and writing

            -

            . Strong interpersonal relations, motivated and loves to work on multiple challenging projects

            -

            · Well organized and able to self-prioritize, sometimes with conflictual deadlines

            -

            · Continuously seeks for improvements and craves to put hands on new technologies

            -

            · Ability to communicate complex solutions

            -

            · Applies analytical thinking

            -

            · Innovates through problem solving

            -

            · Knows the business and stays current with industry trends to elevate expertise and work

            -

            · Demonstrates organizational abilities and detail oriented

            -

            · Collaborates with key internal stakeholders to enable higher productivity

            -

            · Works independently with little supervision

            -

            · Applies agile mindset

            -

            · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

            -

            · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

            -

            Technical Skills/Knowledge

            -

            · Strong data analytics and development skills

            -

            · Demonstrated creativity skills

            -

            · Expertise in a combination of Scala, Java or Python

            -

            · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

            -

            · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

            -

            · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

            -

            · Expertise with Apache Storm*

            -

            · Expertise with Databricks Delta Lake*

            -

            *Any knowledge for any of the above would be considered as an asset

            -

            Organizational Impact

            -

            Decision Making & Impacts

            -

            The Specialist Data Engineering is accountable for working with business stakeholders, Data and IT subject matter experts, and business leads to plan and delivery on the strategy and implementation roadmap of data pipelines.

            -

            Level of Interaction/Influence

            -

            The Specialist Data Engineering interacts primarily (80%) with internal stakeholders and partially (20%) with external contacts.

            -

            About CN

            -

            CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

            -

            -

            -

            -

            -

            CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

            -
            ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8997?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-20T15:12:00.000Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/154076343-specialist-data-engineering-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Senior Level,Masters Degree,New Posting, 85fbeb8b-ae9f-42fb-b533-32a03df7fc4b,171553455,BMO Financial Group,Client Data Management Operations Associate,on_site,"Toronto, ON, Canada",2022-11-28T17:12:02.371Z,"

            Address:

            100 King Street West

            @@ -73162,6 +73806,317 @@ e13a134b-04dc-4a27-ae0d-b1ebd485233e,105259824,Bell Canada,"Senior Manager, Arti

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            ",,https://jobs.bell.ca/ca/en/job/BECACA339520EXTERNALENCA/Senior-Manager-Artificial-Intelligence-Speech-Product-Manager,aitalent@vectorinstitute.ai,,,,2022-01-31T15:20:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/105259824-senior-manager-artificial-intelligence-speech-product-manager-at-bell-canada,,expired,2022-01-21T19:45:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Manager,Bachelors Degree,New Posting, +62a519bd-8e7a-465c-8f5a-c3c40bf0d3d9,165151445,Shopify Inc.,Senior Data Science Manager - Americas-Remote,on_site,"Ontario, Canada",2022-11-10T17:42:05.629Z,"

            About the role

            We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

            +

            You will:

            +
              +
            • Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.

            • +
            • Lead pricing and incentive experimentation work.

            • +
            • Define and guide the short-term and long-term data strategy for the money service line.

            • +
            • Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.

            • +
            • Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc).

            • +
            • Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.

            • +
            • Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment.

            • +
            • Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.

            • +
            ",,https://www.shopify.com/ca/careers/senior-data-science-manager-americas-remote_af250450-f70d-440a-83f3-57d22b3ccd75,feed-importer@jobboard.io,,,,2022-11-17T15:20:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/165151445-senior-data-science-manager-americas-remote-at-shopify-inc,,expired,2022-11-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,PhD,New Posting, +1993e381-2fc7-460c-874f-777356656a49,164063829,Scotiabank,Analytics Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.968Z,"

            +

            +

            +

            +

            Requisition ID: 166528

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Purpose:

            +

            +

            The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

            +

            We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

            +


            KEY ACCOUNTABILITIES:

            +


            • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
            • Partner with advanced analytics teams to build powerful data assets and processes
            • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
            • Build automated data management and data quality capabilities into projects
            • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
            • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
            • Experiment & learn!

            +


            QUALIFICATIONS:

            +


            • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
            • Experience with visualization tools: Power BI
            • Strong data analysis skills
            • Strong programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
            • Experience working in the cloud environment is an asset
            • Experience in finance is an asset
            • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, BigQuery an asset
            • Exposure to Kubernetes, Airflow, Jenkins is an asset
            • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
            • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
            • High aptitude for diving in and picking up new technologies as required
            • Eligible to work in Canada

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Analytics-Engineer-CID&A-ON-M5C2V9/564851217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-17T15:22:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/164063829-analytics-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Analytics-Engineer-CID&A-ON-M5C2V9/564851217/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +eb36baea-047d-4969-a310-1802bb3e27ee,167813684,OMERS,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-11-16T17:42:03.459Z,"
            OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

            +

            +

            As a member of this team, you will be responsible for:

            + +

            +

            To succeed in this role, you have:

            + +

            +

            +

            +

            +

            Our story:

            +

            Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

            +

            +

            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

            +

            +

            +

            Vaccination Policy

            +

            +

            At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

            +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Analyst_JR-3169-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-12-16T17:47:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/167813684-senior-data-analyst-powerbi-at-omers,,expired,2022-11-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +0dcb291b-3994-4eb9-9ca3-fd67daabd73d,176167056,Vector Institute,"Postdoctoral Fellows Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-12-11T17:40:02.264Z,"
            +

            +

            +

            +

            POSITION OVERVIEW

            +

            +

            Are you an early career researcher with the potential to become a world-class machine learning scientist? The Vector Institute invites applications for Postdoctoral Fellows who are working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

            +

            +

            Our areas of research include:

            + +

            +

            The standard term for a Postdoctoral Fellow position is 1–2 years, with a possible extension to 3 years. Also available is the opportunity for eligible individuals to complete a placement at Vector before going on to take a faculty role elsewhere.

            +

            +

            RESPONSIBILITIES

            +

            +

            Postdoctoral Fellows at the Vector Institute are early career researchers with the potential to become world-class researchers. Like postdoctoral researchers in a university lab, Postdoctoral Fellows at the Vector Institute are tasked with and supported in carrying out state-of-the-art research, publishing at the highest international level, and contributing to the academic life and reputation of the Institute. The Vector Institute offers a dynamic environment, and research freedom and opportunity to collaborate within and across research areas. They are part of a thriving research community of over 500 Vector Faculty Members, Faculty Affiliates, Postgraduate Affiliates, Postdoctoral Fellows, and graduate students.

            +

            +

            Postdoctoral Fellows at the Vector Institute have access to the resources of a well-funded institute dedicated solely to machine learning and deep learning, and are encouraged to work with any of our over 30 world-class faculty in machine learning and deep learning, though they will work primarily with 1–2 faculty members.

            +

            +

            They will be expected to propose work on research topics of their interest related to machine learning and deep learning and carry out that research with a great deal of independence. Should they be so inclined, Postdoctoral Fellows may teach and mentor at the Institute; engage in entrepreneurial activities; and/or work with existing companies to enhance their research. They have the ability to collaborate with the graduate students of the machine learning group at the University of Toronto, as well as the graduate students of other affiliated faculty, who spend the bulk of their time at the Institute.

            +

            +

            ABOUT VECTOR

            +

            +

            The Vector Institute is an independent non-profit corporation, with Faculty Members and Affiliates from the University of Toronto, University of Waterloo, and other Canadian universities. It is supported with generous funding from the provincial and federal governments, as well as Canadian industry sponsors.

            +

            The Vector Institute is located in the MaRS Discovery District building, spanning nearly the entire 7th floor and overlooking downtown Toronto and the beautiful Queen’s Park. On any given day, the Vector Institute houses over a hundred students, dozens of Faculty Members, supported with state-of-the-art compute power, and dedicated professional staff. The daily life and concentration of expertise in the Institute fosters collaboration and the exchange of ideas among its members through talks, seminar series, visitors, and tutorials.

            +

            The Vector Institute’s vision is to drive excellence in the creation of artificial intelligence, to use it to foster economic growth, and to improve the lives of Canadians. To that end, the Vector Institute has close ties to both academia and industry. This puts our Postdoctoral Fellows in a unique position to contribute broadly. A successful contribution can range from developing core algorithmic techniques and theoretical analyses of machine learning algorithms, to working closely with existing companies and health organization, to engaging in entrepreneurial activities.

            +

            +

            In addition to their research, Postdoctoral Fellows have the opportunity to work with industry to develop machine-learning-based solutions for their problems or engage in related entrepreneurial activities. We have dedicated staff facilitating all aspects of engaging with Vector sponsors and affiliated institutions, as well as close ties to incubators for entrepreneurial activities. The Vector Institute has extensive access to computing resources and datasets. We have a team of AI Engineers who help improve research productivity through software platform development, ensuring research reproducibility, publishing open source code and data, and in readying code for commercial use.

            +

            +

            WHO SHOULD APPLY?

            +

            +

            We are looking for people with interests across a broad spectrum from core machine learning or deep learning research to more applied and entrepreneurial activities. We are also looking for people who have excelled in other areas and are interested in moving into deep learning or machine learning more broadly.

            +

            +

            REQUIREMENTS

            +

            + +

            +

            APPLICATION REQUIREMENTS

            +

            +

            Please note that all documents have to be converted and merged into a single PDF document and uploaded as one PDF file.

            +

            + +

            +

            Reference Letters

            +

            + +

            +

            +

            DEADLINES

            +

            +

            October Cohort

            +

            To be considered for the October cohort application and reference letters must be received in full by October 31st. Any applications received after this date will be added to the next cohort.

            +

            +

            February Cohort

            +

            If you wish to be considered for the February cohort application and reference letters must be received in full by February 28th. Any applications received after this date will be added to the next cohort.

            +

            +

            June Cohort

            +

            To be considered for the June cohort application and reference letters must be received in full by June 30th. Any applications received after this date will be added to the next cohort.

            +

            +

            The Hiring Committee reviews applications on a rolling basis three times a year: November, March, and July.

            +

            +

            Please submit applications, using the link provided, ensuring all required materials are included in one PDF document.

            +

            +

            INTERVIEWS

            +

            +

            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

            +

            +

            We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

            +

            +

            Achieving a more equitable, diverse and inclusive research institute is essential to creating excellent, innovative, and impactful research. The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and 2SLGBTQIA+ persons. Should you wish to self-identify, please indicate this in your cover letter. All qualified candidates are encouraged to apply.

            +

            +

            Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            +
            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=136&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-01-11T20:54:25.277Z,False,0,1,50,https://talenthub.vectorinstitute.ai/jobs/176167056-postdoctoral-fellows-research-toronto-ontario-at-vector-institute,,expired,2022-12-11T17:40:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Fellowship,PhD,New Posting, +afa1a63b-5d26-4c52-a5df-7411087ef8c3,178993688,Sun Life Financial,"Director, Management Reporting, Finance Data & Analytics",on_site,"Ontario, Canada",2022-12-19T17:41:03.660Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            +

            +

            Job Description:

            +

            +

            Role Summary

            +

            As part of our journey to modernize and drive efficiencies across the Finance function, the Finance Data and Analytics team within Corporate Finance Operations plays an important role being responsible for digital management reporting including the effective use of BI tools, the supporting underlying data storage and integrity, and business data models.

            +

            As a member of the Data and Analytics team and reporting to the AVP Finance Data and Analytics, this Director will be responsible for a team that will build out, maintain and optimize the central data and Management Reporting Dashboards (MRD) used across all business groups for critical financial reporting analysis integrated with actuarial and business processes. This role will be crucial in driving consistency, quality and reducing redundancies across Finance, while leveraging tools and technology to automate activities and digitize self serve visualization reporting.

            +

            +

            What will you do?

            + +

            +

            What do you need to succeed?

            + +

            +

            What\'s In It For You?

            + +

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            +

            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            +

            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            +

            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            105,000/105 000 - 165,900/165 900

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            08/01/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Management-Reporting--Finance-Data---Analytics_JR00070589?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:03:00.000Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/178993688-director-management-reporting-finance-data-analytics-at-sun-life-financial,,expired,2022-12-19T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +387b382e-a8db-456c-b70c-99a9b62adebc,181084209,Scotiabank,Senior Manager AML Operations Analytics & Business Intelligence,on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.878Z,"

            +

            +

            +

            +

            Requisition ID: 170142

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            +

            Purpose

            +


            Contributes to the overall success of Global Anti-Money Laundering (AML) Operations, maintaining and continuously improving Business Intelligence (BI) models, infrastructure, processes, and frameworks, to provide insights for Executive decision making. Provides advice and counsel to local teams on analytics, reporting, and data management. Ensures all activities are conducted in compliance with governing regulations, internal policies, and procedures.

            +

            +


            Accountabilities

            +

            +

            • Maintain and continuously improve Global AML Operations Business Intelligence platform, including infrastructure, processes, reporting tools, analytic models, repositories, data governance and frameworks, to provide insights to Executives on operational performance, productivity, and key areas requiring attention.
            • Establish and maintain close working relationships with partners in the Global AML Operations, as well local teams in the countries to provide leadership, advice and counsel on analytics models, reporting, and data management.
            • Establish and maintain close working relationships with other teams producing reports, business intelligence and analytics, to share best practices and advance the evolution of the BI and analytics models.
            • Develop and maintain procedures, frameworks, best practices, to provide governance on BI and Analytics to Global AML Operations.
            • Develop new BI/Analytics capabilities and automate existing manual processes.
            • Identify, source, manipulate and investigate large volumes of data to provide actionable insights. This involves engaging and working with stakeholders from across the Bank such as technology teams, and business lines, as required.
            • Work with large datasets using Excel and distributed computing tools for analysis, data mining and modeling
            • Conduct data driven root cause analysis to understand the volume of cases for the EDDU and identify strategies via reporting to manage the Bank's risk exposure and commitment to the regulators
            • Escalate any concerns regarding conduct risk or a deficiency in internal controls, policies or procedures.
            • Maintain a sound knowledge and understanding of the Bank’s policies and internal procedures and protocols.
            • Contribute to unit planning and strategy discussions to meet unit business objectives and regulatory requirements.
            • Provide problem resolution and support to internal and external partners, as requested.
            • Perform trending and tracking of performance metrics and other relevant data points for the unit.
            • Work with operational teams to identify, track and triage data, technology and system issues to be raised to technology teams and other stakeholders and to prioritize future development.
            • Lead and drive a customer focused culture throughout the team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Operate within the Bank’s risk appetite and conduct business and interactions with customers, employees, suppliers, and others in a legal and ethical manner that promotes integrity across the Bank.

            +

            +

            Education / Experience

            +

            +

            • Bachelor’s Degree in Computer Science, Information Systems, or other related field or relevant experience
            • 3+ years’ experience with a financial institution is preferred
            • Strong quantitative and qualitative analytical skills, excellent attention to detail and good business judgment
            • Strong written and oral skills in English
            • Proficient skills in MS Excel, Data Visualization (PowerBI), database management (e.g. SQL). Knowledge in advanced data analytics tools is an asset (R, Python, etc.)
            • A self-starter, results oriented, very organized & highly motivated individual who can apply his/her knowledge to resolve complex business problems that are multi-dimensional
            • Able to focus on multiple initiatives concurrently to efficiently balance time & resource conflicts & demonstrated attention to detail in ensuring accuracy of data collection & reports
            • Able to deal with highly sensitive/confidential issues, on issues ranging from policy to risk analysis to general support
            • Positive attitude and ability to effectively work with team members in achieving common objectives
            • Good interpersonal and communication skills for interacting with various levels of management, international offices and varying cultures and languages
            • Demonstrated ability to interact and engage with management and executive level stakeholders

            +

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-AML-Operations-Analytics-&-Business-Intelligence-ON-M5H1H1/566267417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/181084209-senior-manager-aml-operations-analytics-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-AML-Operations-Analytics-&-Business-Intelligence-ON-M5H1H1/566267417/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8fd60f87-98e2-4bde-b806-3fecd36e127a,183865767,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-05T17:24:03.189Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.
            +

            +

            Job Description

            +
            +The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

            +
              +
            • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
            • +
            • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
            • +
            • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
            • +
            • Perform system release review and follow version control process for trading and risk systems
            • +
            • Provide quantitative support to business partners on key TDS projects and initiatives
            • +
            • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank
            • +
            +
            +

            +

            Requirements

            +
              +
            • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
            • +
            • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
            • +
            • Excellent written and verbal communication skills
            • +
            • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
            • +
            • Good computational and programming knowledge
            • +
            • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
            • +
            • Previous working experience in Model Development, Model Validation or related quantitative role
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-12T21:58:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/183865767-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, e84320e5-92b2-4d82-a48e-3b92ef2b12a7,177791799,TELUS,Data Scientist/Analyst - C360 Insights Team,on_site,"Ontario, Canada",2022-12-15T17:42:03.808Z,"

            Description

            @@ -75244,418 +76199,6 @@ c2195150-8439-40c9-b896-a779c1cadff9,143593875,Scotiabank,"Senior Manager, Procu

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/15768756/sr-analyst-model-validation-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-30T01:56:17.268Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/145822841-sr-analyst-model-validation-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15768756/sr-analyst-model-validation-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -0b684cbb-c30c-4811-86c1-64f1647f790f,140470712,integrate.ai,Senior Software Engineer,full,Toronto or Remote (within 5 hours of ET),2022-07-31T05:07:02.151Z,"

            At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

            -

            We are looking for an incredible Senior Software Engineer who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

            -

            Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

            -

            -

            What you will be doing:

            -
              -
            • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
            • -
            • Building impactful services and features in a way that you can be proud of
            • -
            • Operating services at scale and with world class reliability
            • -
            • Extending and improving your services to drive better outcomes for people
            • -
            • Contributing to the growth and development of your colleagues and the company
            • -
            • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
            • -
            • Building client facing and internal web applications
            • -
            • Working with Data Scientists to create robust machine learning applications
            • -
            • Be responsible for designing and implementing features for several large projects
            • -
            • Participating in infrastructure development and operations
            • -
            • Managing existing codebase and developing new products for customers
            • -
            • Implementing integration with existing customer systems and providing support and documentation
            • -
            • Participating in agile project planning and estimation
            • -
            • Providing on-demand developer support directly to clients and their partners
            • -
            -

            We Value:

            -
              -
            • Extensive years experience writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
            • -
            • Superior understanding of computer science fundamentals
            • -
            • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
            • -
            • Experience defining well structured APIs, understanding the client facing nuances of API design.
            • -
            • Experience with relational databases and SQL.
            • -
            • Experience with deployment of services using infrastructure as code such as Terraform, SaltStack, or similar products.
            • -
            • Experience in using/developing monitoring tools to provide great operational feedback.
            • -
            • Familiar with systems design and architecture of multiple complex software features, able to describe, debug and maintain such features.
            • -
            • Nice to have: Machine Learning Operations (MLOps) and/or Data Engineering experience.
            • -
            • Working in an agile environment
            • -
            • Experience with AWS/GCP infrastructure is a plus
            • -
            • Great desire and willingness to learn
            • -
            • Contributions to the mentorship, growth and success of your teammates
            • -
            -

            -

            The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

            -

            We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

            ",,https://boards.greenhouse.io/integrateai/jobs/6025328002,feed-importer@jobboard.io,,,,2022-09-01T14:00:34.855Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/140470712-senior-software-engineer-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/6025328002,expired,2022-07-31T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, -ace51d7d-88af-45d2-abc9-5a8aedf1bcb9,140708161,Vector Institute,"Postdoctoral Fellows Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-08-01T07:06:02.659Z,"
            -


            -


            -


            -

            POSITION OVERVIEW

            -


            -

            Are you an early career researcher with the potential to become a world-class machine learning scientist? The Vector Institute invites applications for Postdoctoral Fellows who are working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

            -

            -

            Our areas of research include:

            -
              -
            • Computer Vision
            • -
            • Generative Models
            • -
            • Healthcare – computational biology, genomics
            • -
            • Natural Language Processing
            • -
            • Optimization
            • -
            • Reinforcement Learning
            • -
            • Statistical Learning Theory
            • -
            • Sequential Decision Making
            • -
            • Security, Privacy & Fairness
            • -
            • Quantum Computing
            • -
            -


            -

            The standard term for a Postdoctoral Fellow position is 1–2 years, with a possible extension to 3 years. Also available is the opportunity for eligible individuals to complete a placement at Vector before going on to take a faculty role elsewhere.

            -

            -

            RESPONSIBILITIES

            -


            -

            Postdoctoral Fellows at the Vector Institute are early career researchers with the potential to become world-class researchers. Like postdoctoral researchers in a university lab, Postdoctoral Fellows at the Vector Institute are tasked with and supported in carrying out state-of-the-art research, publishing at the highest international level, and contributing to the academic life and reputation of the Institute. The Vector Institute offers a dynamic environment, and research freedom and opportunity to collaborate within and across research areas. They are part of a thriving research community of over 500 Vector Faculty Members, Faculty Affiliates, Postgraduate Affiliates, Postdoctoral Fellows, and graduate students.

            -

            -

            Postdoctoral Fellows at the Vector Institute have access to the resources of a well-funded institute dedicated solely to machine learning and deep learning, and are encouraged to work with any of our over 30 world-class faculty in machine learning and deep learning, though they will work primarily with 1–2 faculty members.

            -

            -

            They will be expected to propose work on research topics of their interest related to machine learning and deep learning and carry out that research with a great deal of independence. Should they be so inclined, Postdoctoral Fellows may teach and mentor at the Institute; engage in entrepreneurial activities; and/or work with existing companies to enhance their research. They have the ability to collaborate with the graduate students of the machine learning group at the University of Toronto, as well as the graduate students of other affiliated faculty, who spend the bulk of their time at the Institute.

            -


            -

            ABOUT VECTOR

            -


            -

            The Vector Institute is an independent non-profit corporation, with Faculty Members and Affiliates from the University of Toronto, University of Waterloo, and other Canadian universities. It is supported with generous funding from the provincial and federal governments, as well as Canadian industry sponsors.

            -

            The Vector Institute is located in the MaRS Discovery District building, spanning nearly the entire 7th floor and overlooking downtown Toronto and the beautiful Queen’s Park. On any given day, the Vector Institute houses over a hundred students, dozens of Faculty Members, supported with state-of-the-art compute power, and dedicated professional staff. The daily life and concentration of expertise in the Institute fosters collaboration and the exchange of ideas among its members through talks, seminar series, visitors, and tutorials.

            -

            The Vector Institute’s vision is to drive excellence in the creation of artificial intelligence, to use it to foster economic growth, and to improve the lives of Canadians. To that end, the Vector Institute has close ties to both academia and industry. This puts our Postdoctoral Fellows in a unique position to contribute broadly. A successful contribution can range from developing core algorithmic techniques and theoretical analyses of machine learning algorithms, to working closely with existing companies and health organization, to engaging in entrepreneurial activities.

            -


            -

            In addition to their research, Postdoctoral Fellows have the opportunity to work with industry to develop machine-learning-based solutions for their problems or engage in related entrepreneurial activities. We have dedicated staff facilitating all aspects of engaging with Vector sponsors and affiliated institutions, as well as close ties to incubators for entrepreneurial activities. The Vector Institute has extensive access to computing resources and datasets. We have a team of AI Engineers who help improve research productivity through software platform development, ensuring research reproducibility, publishing open source code and data, and in readying code for commercial use.

            -


            -

            WHO SHOULD APPLY?

            -


            -

            We are looking for people with interests across a broad spectrum from core machine learning or deep learning research to more applied and entrepreneurial activities. We are also looking for people who have excelled in other areas and are interested in moving into deep learning or machine learning more broadly.

            -


            -

            REQUIREMENTS

            -

            -
              -
            • PhD or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field. You must have completed all requirements of your doctoral degree no more than three years before the application deadline;
            • -
            • An excellent publication record in machine learning;
            • -
            • Expertise in a core area of machine learning, such as deep, unsupervised, and reinforcement learning, optimization, and theory; and/or applied machine learning, such as natural language, health, vision, robotics, medicine, biology, transportation, media, and finance;
            • -
            • For those looking to pivot to machine learning from a field with technical overlap, we are looking for an excellent publication record in your field as well as expertise in an area with some potential relevance to machine learning.
            • -
            -

            -

            APPLICATION REQUIREMENTS

            -

            -

            Please note that all documents have to be converted and merged into a single PDF document and uploaded as one PDF file.

            -


            -
              -
            • A cover letter, including identifying a Vector Faculty Member as potential supervisor. We encourage applicants to contact Faculty Members before submitting their application.
            • -
            • -A curriculum vitæ. -
            • -
            • Links to at least three recent publications.
            • -
            • A research statement outlining a proposed program of research.
            • -
            -


            -

            Reference Letters

            -


            -
            • -Three reference letters. One referee should be your PhD supervisor. If referees prefer to submit reference letters directly, they can be sent to research@vectorinstitute.ai. -
            -


            -


            -

            DEADLINES

            -


            -

            October Cohort

            -

            To be considered for the October cohort application and reference letters must be received in full by October 31st. Any applications received after this date will be added to the next cohort.

            -


            -

            February Cohort

            -

            If you wish to be considered for the February cohort application and reference letters must be received in full by February 28th. Any applications received after this date will be added to the next cohort.

            -


            -

            June Cohort

            -

            To be considered for the June cohort application and reference letters must be received in full by June 30th. Any applications received after this date will be added to the next cohort.

            -


            -

            The Hiring Committee reviews applications on a rolling basis three times a year: November, March, and July.

            -


            -

            Please submit applications, using the link provided, ensuring all required materials are included in one PDF document.

            -


            -

            INTERVIEWS

            -


            -

            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

            -


            -

            We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

            -


            -

            Achieving a more equitable, diverse and inclusive research institute is essential to creating excellent, innovative, and impactful research. The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and 2SLGBTQIA+ persons. Should you wish to self-identify, please indicate this in your cover letter. All qualified candidates are encouraged to apply.

            -


            -

            Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            -
            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=136&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-09-01T14:02:00.000Z,False,0,7,76,https://talenthub.vectorinstitute.ai/jobs/140708161-postdoctoral-fellows-research-toronto-ontario-at-vector-institute,,expired,2022-08-01T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Fellowship,PhD,New Posting, -d36ae0a2-177a-4baf-a287-a3a556b53011,140448382,Deloitte,"Business Data Lead, Omnia AI",on_site,"Ontario, Canada",2022-07-31T02:43:01.947Z,"

            -

            Job Type: Permanent
            Reference code: 100022
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto

            -
            -

            -

            Our Purpose

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            -

            Learn from deep subject matter experts through mentoring and on the job coaching.
            Partner with clients to solve their most complex problems.
            Be empowered to lead and have impact with clients, our communities and in the office.

            -
            -
            -
            -

            -

            You have a data mindset, like working with both Business and IT on complex data-driven solutions, you aspire to bring AI to complex financial regulatory and compliance solutions and above all, you want to work with best-of-breed data and enterprise solutions – if that is you, then Omnia AI is where you want to be.

            -
            -
            -

            What will your typical day look like?

            -
            -

            As a Leader in our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to understand the latest business challenges and its enablement using technology platforms. You will play an active role to lead cross-functional client and internal teams to deliver large, complex programs. You are enthusiastic about large-scale data transformation programs, have strong stakeholder management skills, are tech savvy and have a techno-functional experience with ability to engage the Business as well as IT teams with ease.

            -

            -

            Specifically, in this role, you will:

            -
            • Lead, define, design and implement end-to-end data-oriented solutions to solve business challenges
            • Collaborate with enterprise architects, business architects, financial analysts, ETL designer and developers to lead data integration requirements and solutions
            • Own solution design and delivery of significant subject areas
            • Define and develop solution architectures, lead teams through program delivery journey and mentor junior colleague
            • -
            -
            -
            -
            -

            About the team

            -
            -

            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            -

            -

            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus data management, data integration and data-driven enterprise transformations. Each of these programs leverages a different mix of traditional and innovative technologies to achieve business outcomes.

            -
            -
            -
            -

            Enough about us, let’s talk about you

            -
            -

            -

            You are someone who has:

            -
            • 3+ years of experience working in the insurance sector (P&C preferred) on data and technology delivery programs; understanding of insurance architecture and data flows
            • Experience delivering IFRS 17 programs is preferred
            • 3+ years of experience in software development lifecycle and ETL design; strong understanding of data management principles, data profiling, and SQL
            • Experience liaising with both the business and technology teams with the ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with business stakeholders, working with Agile development methods on data-oriented projects
            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired; accounting background is an asset; certifications or experience in accounting platforms, compliance technologies and/or insurance admin systems is an asset
            • -
            -
            -
            -
            -

            -

            Our shared values

            -

            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

            -

            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

            -

            Every day, we live our Purpose through the following five shared values:

            - -



            The next step is yours

            -

            Sound like The One Firm. For You?

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            -

            ",,https://careers.deloitte.ca/job/Toronto-ON-M5C-3G7/866326600/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-09-01T13:47:15.293Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/140448382-business-data-lead-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-ON-M5C-3G7/866326600/,expired,2022-07-31T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -c8a67cbc-1bb2-413b-bd96-b7d8feb92aed,140510445,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Ontario, Canada",2022-07-31T07:35:02.388Z,"
            -
            A Leader in Automating Intelligent Industrial Operations
            -

            At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

            -

            Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. CanvassAnalytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

            -

            We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

            Things you should know about our product & teams
              -
            • We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems
            • -
            • We use Keras, SciKit-Learn,XGBoost, SHAP and regularly research and add new libraries to our stack
            • -
            • Our pipelines and micro services are developed predominantly with Python
            • -
            • We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines
            • -
            • We use CircleCI to continuously test, integrate and deploy code changes, including ML
            • -
            What we’re looking for:

            We’re looking for candidates with:

            -
              -
            • Experience applying machine learning and deep learning algorithms to time-series problems
            • -
            • Strong knowledge of probability and statistics, plus a passion for working with data
            • -
            • The ability to implement feature engineering and data transformations at scale
            • -
            • Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries
            • -
            • An understanding of micro service architecture and containerization
            • -
            • A proven track record of delivering well-designed and tested software
            • -
            ​Who you are:

            In general, we’re looking for engineers that exemplify these qualities:

            -
              -
            • Activation & Engagement Our engineers are critical to the progress of our application and our business. We expect our engineers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
            • -
            • Teamwork & Collaboration Our teams are small and extremely collaborative. You will work very closely with DevOps, ProductDevelopment and Customer Success to meaningfully impact the business every week.
            • -
            • Excellence & Craft Cloud infrastructure is more than just keeping the lights on 24/7. We need to build secure, scalable systems that are also easy to understand and easy to extend so that they can evolve with our business. We want our engineers to take pride in what they build.
            • -
            • Communication & Leadership An engineer can have a large impact by helping to grow the abilities and understanding of their teammates.We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
            • -
            Your Benefits

            Some of the benefits you can expect as part of our team include:

            -
              -
            • Awesome team and culture (every day)
            • -
            • Generous time off, including vacation and personal days to help rejuvenate
            • -
            • Extended health benefits, including drug coverage, dental coverage, and a Health Spending Account
            • -
            • Flexible office policy, with options to work remotely
            • -
            • Attend Conferences to extend your knowledge and skills
            • -
            • Company-provided MacBooks and standing desks
            • -
            • Top technology and tools to excel at your role
            • -
            • Free team lunches
            • -
            Why Join Canvass?

            Canvass Analytics is using AI to automate operations for theIndustrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange asa Top 20 Most Innovative Canadian Company. Canvass is backed by Google’sGradient Ventures.

            What\'s it like working at Canvass?

            This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

            Apply Now

            Think this job is meant for you but worried you don’t have it all?If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

            -

            You can also follow us on Twitter or LinkedIn to learn more about us.

            -

            Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

            -
            ",,https://www.canvass.io/careers/machine-learning-engineer,feed-importer@jobboard.io,,,,2022-09-01T13:58:19.265Z,False,0,21,86,https://talenthub.vectorinstitute.ai/jobs/140510445-machine-learning-engineer-at-canvass-analytics-inc,,expired,2022-07-31T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,New Posting, -37462626-0251-4640-96b2-46d5bfbad115,146918038,Borealis AI,Senior Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-08-30T01:56:03.770Z,"
            -

            What\'s the opportunity?

            -

            We’re looking for a Senior Engineering Manager to lead our Montreal engineering team, working at the forefront of machine learning technology and working on extremely challenging problems.

            -

            -

            As a Senior Machine Learning Engineering Lead, you will manage a team of managers and engineers involved in multiple ML projects. You will support those projects through the entire lifecycle—from research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work along other senior managers in engineering and across Borealis AI to help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

            -

            Your responsibilities include:

            -
              -
            • Provide strategic direction, leadership and management to a team of managers and engineers involved in multiple ML projects
            • -
            • Provide functional management to multiple ML projects
            • -
            • Establish high standards and share technical knowledge in performance, scalability, system architecture, and engineering best practices;
            • -
            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
            • -
            • Grow and develop the team, helping each team member advance their career development.
            • -
            • Work with Borealis senior leadership to achieve the Borealis mission and strategy
            • -
            • Drive cross-team cohesion and help to build the culture of the Montreal office
            • -
            -

            You\'re our ideal candidate if you:

            -
              -
            • Have 12+ years of experience delivering software projects to production;
            • -
            • Have 7+ years experience managing engineering teams;
            • -
            • Experience working collaboratively with business, product and other technical teams;
            • -
            • Have led the full lifecycle of software product development including the successful deployment of products to production;
            • -
            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
            • -
            • Experience working in an agile environment, including managing team members across multiple different projects and/or products
            • -
            • Experience managing hybrid teams; promote an excellent employee experience regardless of where employees are
            • -
            • Have a background in machine learning or a related field;
            • -
            • Experience with financial services and enterprise software.
            • -
            -

            What\'s in it for you?

            -
              -
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • -
            • Leaders who support your development through coaching and managing opportunities;
            • -
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • -
            -

            About Borealis AI

            -

            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            -

            Inclusion and Equal Opportunity Employment

            -

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            -

            -

            -

            -
            ",,https://www.borealisai.com/careers/?gh_jid=6039893002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-09-02T02:01:05.536Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/146918038-senior-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-08-30T01:56:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -ce584623-3539-4378-aee0-3c149a35f048,156497534,FreshBooks,"Senior Data Modeler (North America, Remote)",on_site,"Ottawa, ON, Canada",2022-10-13T17:25:13.396Z,"

            About FreshBooks

            -

            FreshBooks is a leading cloud-based SaaS accounting software designed with one goal: to help small business owners grow. We reached unicorn status after raising our valuation to more than $1 billion and continue to scale our business to serve business owners, their clients, and accountants in more than 160 countries worldwide. FreshBookers are found all over the globe, and we know that different folks thrive in different working environments: Remote, onsite, and everything in between, you’ll find it with us.

            -

            The Opportunity - Senior Data Modeller

            -

            FreshBooks is seeking a Senior Data Modeller to join our team. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. If this profile sounds like you, we’d love to hear from you!

            -

            What You'll Do as a Senior Data Modeller

            -
              -
            • Assume a technical leadership role on our Data Engineering team to help us architect our data warehouse and related processes.
            • -
            • Become an expert in our business and help translate that expertise into analytics table designs that balance ease of use for our data consumers with warehouse performance at scale.
            • -
            • Work closely with our Data Analytics, Data Products and Data Science teams to understand their data consumption habits and represent their needs in your recommendations to our Data Engineers for design and implementation.
            • -
            • Contribute to our Data & Analytics roadmaps, providing design consultation for our enterprise data warehouse and related storage architecture, setting us up for success over the long term.
            • -
            • Collaborate with senior technical leaders from across the organization to help us with our big picture, enterprise technology choices.
            • -
            • Be a coach for Data Engineers and an advocate for high quality design choices.
            • -
            -

            What You'll Bring to the Role

            -
              -
            • Enthusiasm for data and analytics!
            • -
            • 8+ years experience in the data and analytics industry including 3+ years designing and maintaining data models.
            • -
            • Expertise designing and maintaining conceptual, logical and physical data models.
            • -
            • Expertise with Google Cloud, or another major cloud provider like AWS or Azure.
            • -
            • Expertise with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies.
            • -
            • Strong SQL skills and expertise optimizing data warehouse objects.
            • -
            • Strong skills working with operational and transactional OLTP data structures and representing these in OLAP structures for analytics use cases.
            • -
            -

            You'll Stand Out If You Bring Experience In

            -
              -
            • Experience designing data infrastructure for consumption in Looker.
            • -
            • Expertise with data modeling software like Erwin, Powerdesigner, etc.
            • -
            • Expertise with DBT.
            • -
            • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
            • -
            -

            Our Commitments to You

            -

            At FreshBooks each person knows their opinion is valued, and can see their impact on the lives of over 10 million small business owners around the world. Accelerate your career, work on projects you're passionate about, and work as a part of a collaborative team without ego! Here are some of the ways FreshBooks recognises and rewards our employees:

            -
              -
            • -🩺 Comprehensive Health and Wellness Benefits. Including retirement savings programs matched to your local office, stock options for every full time employee, generous time off, parental leave and new parent support, annual healthy living credit, comprehensive medical and dental benefits dependent on your region, and more. -
            • -
            • -📚 Perks that Matter. Including a Peer Recognition Program, an Employee Assistance Program, headphone credit, meaningful in-person gatherings to bring onsite and remote employees together, and more perks matched to your locale. -
            • -
            • -🌱Working Environments to Help You Thrive. Beautiful office spaces welcome you in Canada and Mexico, and remote FreshBookers receive a home office credit to set up your home office. -
            • -
            • -🤗 Supportive Peer Group, Mentors, and Leaders. We care about each other across the organisation and have programs to support this so everyone feels a strong sense of belonging, and believes in collective impact. -
            • -
            • -🚀 Accelerated growth. 3 week dedicated company onboarding, career development through continuous coaching, training, and learning on the job, and a bi-annual review process. -
            • -
            -

            Closing

            -

            Even if your experience doesn't meet every bullet on the above lists, we'd love to learn more about you and why you think FreshBooks is the next step in your career.

            -

            FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.

            -

            FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

            -

            -

            -

            -

            #LI-NN1

            ",,https://boards.greenhouse.io/freshbooks/jobs/4582914,feed-importer@jobboard.io,,,,2022-10-21T17:36:04.532Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/156497534-senior-data-modeler-north-america-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4582914,expired,2022-10-13T17:25:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Masters Degree,New Posting, -b5bea20a-713c-46ca-b193-1263f9d7b35c,155955253,CIBC,"Director, Advanced Analytics & AI",on_site,"Ontario, Canada",2022-10-10T16:51:08.290Z,"
            -

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            Job Description

            -

            -
            -

            What you\'ll be doing

            -

            As a Director specializing in data science, you will be responsible for building stakeholder relationships, understanding strategic initiatives and recommending complex advanced models and AI solutions to support their goals. This role will have a focused attention on Wealth and Fraud. This Director will lead, manage and mentor a team of Junior and Senior Data Scientists. This role is a senior position within the Enterprise Analytics team and requires a hands-on approach to solving problems, planning and managing change related to all aspects of the client-facing roles related to Analytics and AI initiatives.

            -
            -

            -

            At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

            -
            -

            -

            How You’ll Succeed

            -
              -
            • Champion the use of advanced analytics for solving business problems: Work with various business units to understand their needs, opportunities and pain points.

            • -
            • Successfully manage and deliver on key analytical initiatives: Work across the various CIBC lines of business.

            • -
            • Oversee and complete the implementation and evaluation of proposed models: Create and validate statistical and ML based approaches that deal with complex data sets.

            • -
            -
            -
              -
            • Work closely with business subject matter experts: Understand the context of business problems, perform deep dives on data collection and transformations and develop novel features to enhance model performance.

            • -
            • See analytics work through to completion: Oversee the model deployment and handoff to the line of business.

            • -
            • Support modelling efforts: Periodically refresh or revise as business needs evolve.

            • -
            • Become the trusted analytical partner for the leadership of the various CIBC lines of business: Focus on client / partner satisfaction. Mentor junior data scientists on modelling and coding best practices, as well as coaching on how to make analytical work relevant to business partners.

            • -
            • Help teams in Advanced Analytics tell a business story: Develop executive presentations that will support their initiatives.

            • -
            -
            -
            • Provide subject matter expertise on business analytics: Integrate and align business initiatives with Advance Analytics mandates and objectives.

            -

            -

            Who You Are

            -
              -
            • You can demonstrate advanced knowledge of decision science, data science, advanced modelling and advanced analytical techniques.

            • -
            • You have extensive hands-on experience with modern data science and machine learning languages and toolkits including: Python, Pandas, scikit-learn, XGBoost, Tensorflow, Pytorch, SQL. Additionally, you have strong coding skills, knowledge of DevOps tooling and and experience with one or more cloud services.

            • -
            -
            -
              -
            • You’re a certified professional. You have an M.S. or Ph.D. in Mathematics, Computer Science, Electrical and Computer Engineering, or equivalent degree.

            • -
            • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

            • -
            • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

            • -
            • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

            • -
            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

            • -
            -
            -

            -

            What CIBC Offers

            -

            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

            -
              -
            • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

            • -
            • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

            • -
            -
            -
            -
              -
            • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

            • -
            • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan.

            • -
            -

            -
            -

            -

            What you need to know

            -
              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • -
            -

            -

            -

            -

            -

            -

            Job Location

            CIBC Square Banking Centre

            Employment Type

            Regular

            -

            Weekly Hours

            37.5

            Skills

            -

            Advanced Analytics, Analytics Strategy, Business Analytics, Data Science, Machine Learning, People Management
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Advanced-Analytics---AI_2238840-1,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-10-21T17:02:05.100Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/155955253-director-advanced-analytics-ai-at-cibc,,expired,2022-10-10T16:51:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, 01d1c0a8-8b16-4823-99fe-98bc8f252078,157646406,RBC,Sr. Manager Product Analytics,on_site,"Toronto, ON, Canada",2022-10-18T17:14:23.886Z,"

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            Job Title

            Sr. Manager Product Analytics

            @@ -78207,308 +78750,6 @@ fb2cda15-4adf-4278-962d-f4d5907fc538,138026978,FreshBooks,"Data Engineering Prog
            ",,https://boards.greenhouse.io/freshbooks/jobs/4298467,feed-importer@jobboard.io,,,,2022-08-20T20:38:20.777Z,False,0,3,54,https://talenthub.vectorinstitute.ai/jobs/138026978-data-engineering-program-manager-canada-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4298467,expired,2022-07-19T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -3860408a-b899-4d13-93f5-25b6a7e58ff3,141830589,TD Bank Group,IT Data Analyst III,on_site,"Toronto, ON",2022-08-05T01:50:19.301Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Job Description

            -
            Job Description
            Job Description

            -

            KEY ACCOUNTABILITIES

            -

            CUSTOMER: Provide a broad range of data analysis and assess data management requirements for specific data platforms, applications systems, servers aligned to business or enterprise technology needs
            • Develop and maintain knowledge of data available from upstream sources and data within relevant platform / applications, including through the means of data profiling and data quality reporting tools and via the capture of technical and business metadata
            • Ensure data is maintained in compliance with enterprise data standards, policies and guidelines
            • Collaborate with business and technology partners to elicit information / data requirements and articulate requirements
            • Contribute to data deliverables including contribution to the overall project business requirements and data requirements documents
            • Develop and maintain data models using industry standard modeling tools
            • Implement and support ETL jobs, using the Bank’s standard tools
            • Provide support to the development and testing teams to resolve data issues
            • Build and supports reports using a combination of BI tools and SQL
            • Support the user community by helping users interpret the data
            • Provide data governance and data availability support to technology teams and business users and ensure requirements regarding privacy and security of data, data governance and access controls are appropriately captured
            • Assist with the testing of the technical information systems in regards to implementation, upgrades, and/or patches to ensure data integrity and systems functionality

            -

            SHAREHOLDER: Coordinate with other technology work teams such as, ITS, Architecture, TRMIS etc. to ensure project success
            • Build subject matter knowledge in specific subject areas across multiple lines of business
            • Define, build and manage data dictionary / catalog for respective data platforms, systems / servers / applications
            • Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
            • Runs quality assurance reports and resolves data integrity issues to ensure accurate reporting and data records
            • Gather, review, analyze, profile, validate, and map system data into the data warehouse to meet reporting and analytical business needs
            • Develop solutions and recommendations for improving data integrity issues, analyze data issues and works with development teams for problem resolutions
            • Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets
            • Determine and analyze line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports
            • Understand data initiatives and capabilities, data governance principles and how they apply across the organization
            • Comply with well-defined enterprise technology delivery practices and standards and project management disciplines

            -
            -

            -

            Requirements

            -
            -EMPLOYEE / TEAM: Work effectively as a team, supporting other members of the team in resolving critical service issues
            • Prioritize and manage own workload in order to deliver quality results and meet timelines
            • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
            • Participate in knowledge transfer within the team and business units
            • Continuously enhance knowledge / expertise in own area and keep current with leading-edge technologies trends
            • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team

            -

            BREADTH & DEPTH: Strong analytical and problem solving skills
            • Collaborative and strong team player
            • Ability to clearly communicate complex ideas and results to a varied audience
            • Ability to work with minimal direction in fast-paced energetic environment, managing multiple projects and priorities simultaneously
            • Ability to learn and apply new concepts quickly
            • Participates in the development of small-scale datamarts or changes to enterprise data warehouses
            • Accountabilities are moderately complex, varied in scope and performed under direct management guidance
            • Generally reports to a Manager or Senior Manager

            -

            EXPERIENCE & EDUCATION: Undergraduate degree or Technical Certificate
            • 3-5 years relevant experience

            -
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/16321113/it-data-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-08T17:00:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/141830589-it-data-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16321113/it-data-analyst-iii-toronto-ca/,expired,2022-08-05T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -7c1815ce-56f5-4cbd-bf89-f23745efb12c,142721305,TD Bank Group,Data Governance Management Analyst,on_site,"Toronto, ON",2022-08-09T01:50:16.263Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -

            Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

            -

            -

            Job Description

            -
            -

            About this Role

            -

            Are you a conceptual and analytical thinker who enjoys independent research and teamwork? Do you get data analysis and manage it with discretion? If so, this role offers a hands-on opportunity to support the implementation of data governance and management initiatives, within a line of business or key function at TD. In this professional role you will positively help the success of the team by taking initiative and willingly assisting others in data research, analysis and reporting activity.

            -

            As an Analyst, Data Governance / Management you will:

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              -
            • Provide data governance / management-related research, evaluation, operational, reporting and / or analytical support in a timely manner
            • -
            • Suggest remedies and implement approved changes within your assigned business of group function
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            • Develop and / or prepare business metrics and reporting in collaboration with partners for data governance to help inform and support decision-making
            • -
            • Support the development of presentations and distribution of required information
            • -
            • Understand your department data objectives based on review of results within assigned scope; coordinate processes and meetings / events that support your work and LOB
            • -
            • Consistently exercise discretion and support the stewardship of data in accordance with policy
            • -
            • Protect the interests of the organization; identify and manage risks, raising issues as necessary
            • -
            • Participate fully and support your team in providing quality service to the business
            • -
            • Willingly assist others in the completion and performance of work, continually enhancing professional expertise, knowledge transfer and acting as a brand ambassador for data stewardship and your LOB
            • -
            -
            -

            -

            Requirements

            -
            -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
              -
            • Undergraduate degree or technical certificate
            • -
            • Three (3) or more years relevant experience
            • -
            • Skill in using software tools, applications, data analysis methods
            • -
            • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance and guidance to other team members and build positive relationships across teams and functions
            • -
            -
            -

            -

            Hours

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            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/15981833/data-governance-management-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-12T01:55:17.601Z,False,0,4,8,https://talenthub.vectorinstitute.ai/jobs/142721305-data-governance-management-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15981833/data-governance-management-analyst-toronto-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -84a695a8-1df0-4855-892e-0484e65e8036,137696063,EY,Manager - Data Scientist,on_site,Toronto,2022-07-17T04:44:02.571Z,"

            Manager - Data Scientist

            -
            Location: Toronto
            -
            Other locations: Primary Location Only
            -
            Date: Aug 6, 2022
            -

            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            -

            -

            -

            -

            -

            The opportunity

            We are seeking a Manager – Data Scientist. We are seeking passionate, entrepreneurial individuals to join us on an exciting journey of evolving our next generation Data Science and Big Data platform and building an expanding set of Managed Data Science Services across multiple industries.

            You will help our clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

            Your key responsibilities

            The role will be responsible for proactively identifying AI and Machine Learning opportunities within Client portfolios, building, and validating, deploying and monitoring advanced descriptive, predictive and prescriptive machine learning models, including Risk Management, Customer Experience and Journey analytics, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, Next Best Action and many others.

            Skills and attributes for success

            -
            • Effectively partner with Clients to understand and anticipate their needs and guide them towards building AI and Machine Learning solutions delivering both short-term wins and identifying long-term opportunities for managed data science services
            • Build, validate, deploy, monitor, and provide DevOps support for a set of AI/Machine Learning models and services for both internal POCs and Client production initiatives, including Risk Management, Customer Experience and Journey analytics, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, Next Best Action and many others.
            • Leverage commercial and open-source AI, Machine Learning, Big Data ecosystem tools, BI, Visualization and Discovery tool to deliver advanced models and other Data Science solutions. Specific tools will include (but not limited to), full SAS stack, R, Python, Scala, Java, Spark SQL/ML/MLLib/GraphX, Data Science Notebooks and Workbenches, Azure Machine Learning, Tableau, Datameer, and other tools
            • Proactively monitor and tune AI / Machine Learning model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
            • Ensure all AI/Machine Learning models are properly packaged and documented for deployment. Participate in client training and knowledge transfer as required.
            • Ensure all solutions comply with the highest levels of security, privacy and data governance requirements as outlined by EY and Client legal and information security guidelines, law enforcement, and privacy legislation, including data anonymization, encryption, and security in transit and at rest and others as applicable
            • Effectively leverage continuous integration, continuous development and continuous deployment agile and DevOps tools and processes to deliver and support advanced Data Science and Big Data solutions and services, including Git, Jira, Jenkins and others as required
            • -Acts as a Subject Matter Expert and a Thought Leader, continuously following industry trends, the latest competitive developments, and delivering papers and presentations at major industry conferences and events.
            • -
            -

            To qualify for the role, you must have

            -
            • A degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent
            • 5+ years of extensive experience building Predictive Machine Learning and AI models for Customer Experience, Customer Journey analytics, Customer Segmentation, Churn modeling, Lookalike Modeling, or equivalent use cases
            • 3+ years of experience with Text Mining, NLP, and Sentiment Analysis
            • 3+ years of production experience with SAS platform, including, Base, Stat, ETS and other core packages, client tools – Enterprise Guide (EG), Enterprise Miner (EM), Visual Analytics (VA), Visual Statistics (VS), SAS Studio
            • Experience in all or some of the following scripting languages: Python, R, SAS, Java, C++, SPSS, MATLAB.
            • Proficiency and an in-depth understanding of the Predictive Modeling Lifecycle and best practices for feature engineering, model development and tuning (hyper-parameter, ensemble modeling techniques, deep learning), model validation, model deployment packaging, model management and performance monitoring
            • Team lead experience managing Junior and Senior Data Scientists
            • Data Scientist certification, including Hadoop, Spark or equivalent production experience
            • Experience running SAS 9.4 on Hadoop – SAS/Access or in-database SAS HPA
            • Experience with Open-source AI / Machine Learning / Data Science tools – R, Python, Spark. Including experience working with Notebooks (Zeppelin, Jupyter) and Data Science Workbenches (Azure, DSX)
            • Experience with Spark-based machine learning, including Spark SQL, ML, MlLib, GraphX
            • -Knowledge and/or keen interest in topics such as:
              • Banking products and services and/or investment products and the key risks associated with these
              • Risk management practices across major risk types such as Credit Risk, Market Risk, Operational Risk, Interest Rate Risk and Liquidity Risk
              • Risk quantification methods for market risk (e.g. Value-at-Risk, Expected Shortfall) credit risk (e.g. PD, LGD and EAD)
              • Sustainable finance, including the incorporation of ESG factors into key risk management policies, processes, methodologies, quantitative models and tools
              • Risk-based business planning and performance measurement
              • Financial analysis, key performance indicators, and financial accounting
              • Regulatory requirements in the banking industry
              • -Quantitative & other programming, (e.g. R, Python, SAS, SPSS, SQL) and valuation platforms (e.g. Bloomberg, Reuters, FinCAD or SuperDerivatives)
            • -
            -

            Ideally, you’ll also have

            -
            • An advanced degree (Masters or a PhD) in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent
            • Prior experience consulting in the utility or retail sector on Data Science projects will be an advantage
            • Experience with Deep Learning on CPUs and GPUs, including ANN, CNN, RNN frameworks like TensorFlow/Keras, MXNet or equivalent would be an asset.
            • Experience with Azure Machine Learning would be an asset.
            • Experience with SAS Risk and Finance modeling modules and workbenches would be an asset.
            • Experience with SAS Decision Manager would be an asset.
            • -Experience with SAS Text Mining and Sentiment Analysis (SA) would be an asset.
            • -
            -

            What we look for

            -
            • Experience in engaging with both technical and non-technical stakeholders
            • Strong consulting experience and background, including engaging directly with clients
            • Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects
            • -
            -

            We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

            -

            What EY offers

            At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

            -

            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

            -
            • Support and coaching from some of the most engaging colleagues in the industry
            • Learning opportunities to develop new skills and progress your career
            • The freedom and flexibility to handle your role in a way that’s right for you
            • -
            -


            If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

            The exceptional EY experience. It’s yours to build.

            -

            EY Way of Work and your health and safety

            EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

            -

            -

            EY | Building a better working world

            -

            -

            EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

            -

            -

            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

            -

            -

            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

            ",,https://careers.ey.com/ey/job/Toronto-Manager-Data-Scientist-ON-M5H-0B3/806486101/,feed-importer@jobboard.io,,,,2022-08-11T17:30:00.000Z,False,0,1,33,https://talenthub.vectorinstitute.ai/jobs/137696063-manager-data-scientist-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Data-Scientist-ON-M5H-0B3/806486101/,expired,2022-07-17T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -cfd45f2c-5c60-4da6-b9a2-f903f04879ae,136541685,League,Senior Data Scientist,on_site,"Toronton, ON",2022-07-10T05:07:02.002Z,"
            -
            Help Us Shape the Future of Healthcare
            -
            -
            At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
            -

            As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.

            -

            To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.

            -

            Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR).


            In this role, you will:

            - -


            About you:

            - -
            -
            -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

            -
            -
            Here are some additional resources to learn more about League:
            -
            Learn more about us in this short video!
            -
            League, Cleveland Clinic collaborate to make employees healthier across North America
            -
            League and Loblaw bring next-generation digital health platform to customers
            -
            League Completes Workday Approved Integration
            -
            -

            Recognize and Avoid Employment scams. Practice safe job searching.

            -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. -
            -
            -
            Privacy Policy
            -
            Review our Privacy Policy for information on how League is protecting personal data.
            -
            -
            ",,https://boards.greenhouse.io/leagueinc/jobs/4459649004,feed-importer@jobboard.io,,,,2022-08-11T18:13:53.413Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/136541685-senior-data-scientist-at-league,https://boards.greenhouse.io/leagueinc/jobs/4459649004,expired,2022-07-10T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -36335f06-d591-4194-91b7-63bf27859afe,141731260,RBC,"Associate Director, Credit Modeling & Methodology",on_site,"Toronto, ON, Canada",2022-08-04T12:53:03.547Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Associate Director, Credit Modeling & Methodology

            -

            -

            Job Description

            -

            What will you do?

            - -

            -

            Must-have

            - -

            -

            Nice-to-have

            - -

            -

            What’s in it for you?

            -

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -

            -

            -

            -

            -

            Job Summary

            The Associate Director, Credit Modeling & Methodology will lead the development of RBC’s Retail and Wholesale AIRB (Advanced Internal Ratings Based) regulatory capital parameters.

            As an Associated Director, Credit Modeling & Methodology you will focus on model development, back-testing and the quality of data ingested for modeling credit risk parameters, PD, LGD and EAD. You will assist the Director, Credit Modeling & Methodology in the execution and maintenance of tools and processes that support model development and performance monitoring. You will assist Senior Management and the Board in understanding critical parameter estimation issues relating to credit risk parameters.

            The team has significant impact across the bank and continuous interactions with other groups and stakeholders, including Senior Management and regulators.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Group Risk Management

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-08-03-07:00

            Application Deadline:

            2022-08-24-07:00
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000022101/Associate-Director-Credit-Modeling-Methodology,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-08-11T12:58:03.912Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/141731260-associate-director-credit-modeling-methodology-at-rbc,,expired,2022-08-04T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -3e64550e-1722-44d3-9bba-0ef2fb281f2c,140510461,Shopify Inc.,"Senior Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-07-31T07:35:07.297Z,"

            About the role

            -

            Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

            -

            Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

            -

            Responsibilities:

            -
              -
            • Proactively identify and champion projects that solve complex problems across multiple domains
            • -
            • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
            • -
            • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
            • -
            • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
            • -
            • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
            • -
            • Influence leadership to drive more data-informed decisions
            • -
            • Define and advance best practices within data science and product teams
            • -
            -

            -

            Qualifications

              -
            • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
            • -
            • Extensive experience with Python and software engineering fundamentals
            • -
            • Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
            • -
            • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
            • -
            • Curiosity about the problem domain and an analytical approach
            • -
            • Strong sense of ownership and growth mindset
            • -
            -

            Experience with one or more:

            -
              -
            • Deep understanding of advanced SQL techniques
            • -
            • Expertise with statistical techniques and their applications in business
            • -
            • Masterful data storytelling and strategic thinking
            • -
            • Deep understanding of dimensional modelling and scaling ETL pipelines
            • -
            • Experience launching productionized machine learning models at scale
            • -
            • Extensive domain experience in e-commerce, marketing or SaaS
            • -
            -
            -
            -
            -

            All your information will be kept confidential according to EEO guidelines.

            -

            If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

            -

            As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

            -

            #LI-REMOTE

            -

            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

            -

            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

            How we hire

            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
            Learn more about our hiring process -
            -
            -
            -
            ",,https://www.shopify.ca/careers/senior-data-scientist-remote-canada_36f0f3fb-7421-4620-909e-cb88da269b16,feed-importer@jobboard.io,,,,2022-08-18T07:40:19.719Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/140510461-senior-data-scientist-remote-canada-at-shopify-inc,,expired,2022-07-31T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -fb2cda15-4adf-4278-962d-f4d5907fc538,138026978,FreshBooks,"Data Engineering Program Manager (Canada, Remote)",on_site,"Toronto, ON, Canada",2022-07-19T05:07:05.378Z,"

            It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

            -

            The Opportunity

            -

            FreshBooks is seeking a Data Engineering Program Manager to join our team. As part of the Data and Analytics Team, you will help us build and shape the future of our Data Engineering organization and processes. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

            -

            What you'll do:

            - -

            What you bring:

            - -

            -

            What you might bring:

            - -

            Why Join Us

            -

            We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one, right here in downtown Toronto.

            -

            -

            Apply now

            -

            Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

            -

            FreshBooks is an equal opportunity employer that embraces the differences in all of our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

            -

            FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. If you got this far, please write your favourite food next to your timezone. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

            -
            -
            #LI-MD2
            -
            -
            -
            -
            ",,https://boards.greenhouse.io/freshbooks/jobs/4298467,feed-importer@jobboard.io,,,,2022-08-20T20:38:20.777Z,False,0,3,54,https://talenthub.vectorinstitute.ai/jobs/138026978-data-engineering-program-manager-canada-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4298467,expired,2022-07-19T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, 8009868a-52c0-4e56-a54b-12f5f84a40d6,149390874,Scotiabank,Canadian Banking - Data Analytics Intern/Co-op,on_site,Canada : Ontario : Toronto,2022-09-08T20:19:24.682Z,"

            @@ -83162,6 +83403,808 @@ ec395a19-79d0-43e9-887b-dc6fdeec3c38,155380210,Google,"Student Researcher, PhD,

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/16776054/senior-manager-data-management-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-07T14:58:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/159574805-senior-manager-data-management-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16776054/senior-manager-data-management-toronto-ca/,expired,2022-10-24T17:22:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +8cb74799-7e74-4316-9c89-afcf944789c4,178993233,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:02.745Z,"

            +

            +

            +

            +

            Requisition ID: 169146

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Term: May-August 2023

            +

            Application Deadline: 01/27/2023

            +

            +

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
            • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
            • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
            • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
            • Make impact by constantly identifying and implementing process improvements
            • Experiment & learn!
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs,
            • You have strong written/verbal communication and project management skills.
            • +You have knowledge/experience in:
              • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
              • Interpreting and consolidating large amounts of information in actionable recommendations.
              • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
              • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
              • Visualization tools like PowerBI, Tableau or Qlikview
              • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
              • Making sense of data, creating reports, and communicating KPI’s
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

            +
            1. Complete your PLUM Profile here and save as a screenshot.
            2. Complete a short one-way video interview here.
            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            4. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-26T17:27:03.338Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/178993233-wealth-management-data-analytics-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +88b99c14-3591-46c8-b590-fe7bae629854,179960355,TD Bank Group,TD Securities Financial Analyst Intern/Co-op,on_site,"Toronto, ON",2022-12-22T17:24:07.783Z,"
            +

            Company Overview

            +
            +

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            +

            Why TD?

            +

            TD’s Colleague Promise: A better you. A better us.

            +

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            +
            +

            +

            Department Overview

            +
            +

            The TD Securities Strategic Analysis and Support team is part of the Wholesale Banking (TD Securities) Finance group and is responsible for the management reporting of results for the Wholesale Bank and its Regional Offices (e.g. the U.S., Europe and Asia), developing the Wholesale strategy and related presentations, financial planning, and providing research and analysis support for our business partners.

            +

            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

            +

            Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

            +
              +
            • Leadership talks with key Leaders from across the organization
            • +
            • Lunch and Learns on topics such as Innovation
            • +
            • Diversity and Inclusion and Personal Branding and so much more
            • +
            +
            +

            +

            Job Description

            +
            +

            Reporting to the Senior Manager, you will be responsible for supporting both the Senior Analysts and Manager with strategic analysis and planning/forecasting for the Wholesale Banking business. Responsibilities may include results analysis, process automation, and ad-hoc reporting to support our stakeholders.

            +

            Role Accountabilities:

            +
              +
            • Support Forecasting/Planning, Monthly Operating Results, and other ad-hoc presentations and activities
            • +
            • Position requires strong analytical/ financial modelling skills to provide high level financial analysis and value-added insight into the business
            • +
            • Work collaboratively with team members to maximize shareholder value by conducting analyses to support key business decisions and the achievement of business partner or department objectives
            • +
            • Initiate actions to further improve your own and the team’s skills and performance. Continuously look for opportunities for professional development.
            • +
            • Demonstrate governance, control and risk management behaviors in alignment with TD policies and practices.
            • +
            • Develop and maintain good relationships with key business / finance partners and other stakeholders
            • +
            +

            +
            +

            +

            Requirements

            +
              +
            • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
            • +
            • Self-motivated individual with a curiosity to learn
            • +
            • Proactive self-starter with ability to work independently
            • +
            • Exhibits meticulous attention to detail, analytical thinking, and strong financial modelling capabilities to understand and interpret financial results
            • +
            • Strong organizational and time management skills with ability to multi-task and prioritize work effectively to meet deadlines
            • +
            • Strong interpersonal and communication skills, both verbal and written
            • +
            • Ability to develop and maintain good relationships with key business and finance partners, and other stakeholders
            • +
            • Proactive in making recommendations to improve processes and the working environment
            • +
            • Ability to work well in a collaborative, fast-paced environment and contribute to a positive workplace culture
            • +
            • High level of proficiency in Excel, Word, and PowerPoint
            • +
            • Pursuing university in a business or quantitative discipline
            • +
            +

            +

            Additional Information

            +
              +
            • This position is a 4-month work term and will commence May 1st – August 25th 2023.
            • +
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • +
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • +
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • +
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Start Date

            +
            – Summer
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17510812/td-securities-financial-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/179960355-td-securities-financial-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17510812/td-securities-financial-analyst-intern-co-op-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +436d3204-15b2-4262-9c5f-929dbd90ac1b,181084237,TD Bank Group,Cards Account Management Analyst Intern/Co-op,on_site,"Toronto, ON",2022-12-26T17:24:05.633Z,"
            +

            Company Overview

            +
            +

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            +

            Why TD?

            +

            TD’s Colleague Promise: A better you. A better us.

            +

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            +
            +

            +

            Department Overview

            +
            +

            The Canadian Credit Cards and Personal Lending Group is responsible for product development, originations, customer lifecycle management, and financial performance of all Canadian Credit Card products. TD is a market leader in unsecured lending and by provides a diverse suite of products and services. The Credit Risk and Exposure Management Team is a first line risk function that is responsible for the development and optimization of credit risk strategies and account management programs balancing business growth, customer experience, and credit losses.
            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

            +

            Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

            +
              +
            • Leadership talks with key Leaders from across the organization
            • +
            • Lunch and Learns on topics such as Innovation
            • +
            • Diversity and Inclusion and Personal Branding and so much more
            • +
            +
            +

            +

            Job Description

            +
            +

            As the successful candidate– Cards Account Management, you will assist with line management and balance build programs for Credit Cards. You will be responsible for assisting with driving balances for the Canadian credit cards portfolio through the optimization of product, risk, and marketing strategies. You will assist with strategy development and execution of risk strategies balancing business growth objectives with managing credit losses.

            +

            Responsibilities include, but are not limited to:

            +
              +
            • Using analytical skills to derive insights and optimize the credit limit increase program
            • +
            • Participate fully as a member of the team, willingly assisting others as appropriate to support a positive work environment and promote service to the business; keep other informed and up to date on status/ progress of projects
            • +
            • Driving improvements in E2E customer experience and optimize delivery of account management programs
            • +
            • Managing credit losses through exposure reduction programs
            • +
            • Acting as “First Line of Defense” by managing and identifying risk in credit strategies, ensuring strategies are within TD’s Risk Appetite and risk management policies and adapting to changes in macroeconomic environment
            • +
            +
            +

            +

            Requirements

            +
              +
            • Currently enrolled in an undergraduate/ post-graduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
            • +
            • Strong data and analytical skills (Excel/ Tableau/ SQL) with problem-solving ability
            • +
            • Strong thought leadership and strategic thinking ability with a focus on customer
            • +
            • Proven ability to operate and deliver outcomes in a fast-paced matrixed organization
            • +
            • Ability to communicate and collaborate effectively (both in speaking and writing), work independently, follow instructions/ direction, provide assistance and build relationships
            • +
            • Knowledge of the credit card business is an asset
            • +
            +

            +

            Additional Information

            +
              +
            • This position is a 4-month work term and will commence May 1st – August 25th 2023.
            • +
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • +
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • +
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • +
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Start Date

            +
            – Spring, – Summer
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17522456/cards-account-management-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084237-cards-account-management-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17522456/cards-account-management-analyst-intern-co-op-toronto-ca/,expired,2022-12-26T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +93eea563-42f4-40f4-9720-e51d77346e74,182853195,TD Bank Group,Quantitative Analytics Specialist,on_site,"Toronto, ON",2023-01-02T17:24:04.227Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            Lead the development and enhancement of advanced quantitative models to enable efficient pricing and risk management of financial products trading in the capital markets. Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making.
            +

            +

            Job Description

            +
            +

            Customer Accountabilities:

            +
              +
            • Lead the development of complex, statistical and/or mathematical quantitative analytics models
            • +
            • Provides senior level support in the identification and assessment of risks and recommends policies for modelling these risks
            • +
            • Provide financial, analytical, planning, and forecasting expertise to assist in the development and completion of relevant model development or validation projects
            • +
            • Perform quantitative analysis, programming and computer modelling related to the research of consistent operational risk measurements across broad range of relevant products
            • +
            • Conduct complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio
            • +
            • Apply in-depth understanding of the whole function and/or key business areas supported in the development or validation of complex models
            • +
            • Provide financial, analytical, modeling expertise to build quantitative models for financial regulatory projects
            • +
            • Perform quantitative model assumptions’ tests for soundness of model theory
            • +
            • Review model results and identifies unexpected results.
            • +
            • Resolve escalated issues and problems by conferring with staff
            • +
            • Develop specialized analytical tools for projects or ongoing use
            • +
            • May manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes
            • +
            • May assist with creation and oversight of model documentation, as necessary
            • +
            • May lead additional research efforts, applying expertise in quantitative analysis and modeling
            • +
            • Explore best practice modeling techniques for model enhancement
            • +
            • Perform analysis of model risk and valuation calculations as applied to current markets, explain and validate results with trading management, and justify or remediate any observed anomalies
            • +
            • Provide training and mentoring for new and less experienced staff
            • +
            • Develop and maintain strong business relationships with trading desks and business line management
            • +
            • Assists in the development, forecasting, and analysis of potential responses to regulatory inquiry related to models
            • +
            +

            +

            Shareholder Accountabilities:

            +
              +
            • Adhere to enterprise frameworks or methodologies that relate to activities for our business area
            • +
            • Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
            • +
            • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
            • +
            • Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
            • +
            • Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
            • +
            • Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience
            • +
            • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
            • +
            • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
            • +
            • Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues
            • +
            • Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements
            • +
            • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
            • +
            • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
            • +
            +
            +

            +

            Requirements

            +
              +
            • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
            • +
            • 7+ years relevant experience
            • +
            +

            +

            Additional Information

            +
            +

            Employee/Team Accountabilities:

            +
              +
            • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
            • +
            • Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
            • +
            • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
            • +
            • Participate in personal performance management and development activities, including cross training within own team
            • +
            • Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
            • +
            • Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
            • +
            • Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
            • +
            • Contribute to a fair, positive and equitable environment that supports a diverse workforce
            • +
            • Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
            • +
            +

            +

            Breadth and Depth:

            +
              +
            • Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
            • +
            • Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations
            • +
            • Interprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services
            • +
            • Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists
            • +
            • Leads cross-functional teams or projects with significant resource requirements, risk and / or complexity
            • +
            • Independently manages end-to-end functional programs
            • +
            • Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions
            • +
            • Uses sophisticated analytical thought to exercise judgement and identify solutions
            • +
            • Impacts the achievement of sub-function or business line objectives within the area they are accountable for
            • +
            • Work is guided by policies and industry standards/methods
            • +
            • Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders
            • +
            • Works autonomously as the lead and guides others within area of expertise
            • +
            • Generally reports to a Senior Manager or above
            • +
            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17475529/quantitative-analytics-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/182853195-quantitative-analytics-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17475529/quantitative-analytics-specialist-toronto-ca/,expired,2023-01-02T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7f62358a-0cbc-4d51-948a-05ad7e7f04c7,178993242,Scotiabank,Velocity - Finance Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:03.473Z,"

            +

            +

            +

            +

            Requisition ID: 169646

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Term: May-August 2023

            +

            Application Deadline: 01/23/2023

            +

            +

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Update/validate formulas in planning and reporting.
            • Populate reporting templates with actual results and ensure completeness.
            • Data analysis projects related to various business initiatives.
            • Assist in the preparation of summary information packages to communicate to leadership.
            • Work on the ongoing tracking/reporting of financial metrics.
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
            • You are a highly self-motivated individual with strong time-management skills.
            • You have an analytical mindset and investigative abilities.
            • You have strong written and verbal communication skills.
            • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
            • You understand PowerBI, SAS, SQL or Tableau.
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

            +

            +
            1. Complete your PLUM Profile here and save as a screenshot.
            2. +
            +
            1. Complete a short one-way video interview here.
            2. +
            +
            1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            2. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

            +

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-05T17:27:05.024Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/178993242-velocity-finance-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +6e8c4b09-4efd-4c5e-8e85-a78ed8ecf8d4,197102974,Scotiabank,Data Strategist - CID&A,on_site,Canada : Ontario : Toronto,2023-02-16T17:22:02.131Z,"

            +

            +

            +

            +

            Requisition ID: 173602

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Data Strategist

            +

            +

            As a Data Strategist in Global Data and Analytics Team, you will help integrate analytics capabilities into the Bank’s digital products and by developing and implementing data strategies that will help improve customer experience.

            +


            What will you do in this role?

            +



            • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
            • Understand performance trends, identify opportunities for growth, and provide actionable insights.
            • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
            • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
            • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
            • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
            • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
            • Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
            • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
            • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
            • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

            +



            Are you the right person for the role?

            +


            • You have a strong business acumen, and you excel at developing and communicating analytics insights
            • You are not afraid to challenge the status quo
            • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
            • You can pivot and adapt to change
            • You spend your free time tinkering with new technologies or building apps on the side
            • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
            • You have a high aptitude for diving in, taking ownership and picking up new things
            • You're eager to mentor, teach and share your ideas in a team environment
            • You have open and transparent communication style, including the ability to distil technical details into human terms

            +

            Do you have the skills that will enable you to succeed in this role?

            +


            • You have 5+ years of experience with data management, performance measurement and stakeholder management
            • You have a university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
            • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
            • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
            • You have experience using visualization tools like Power BI, Tableau or QlikView
            • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
            • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
            • You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
            • Strong project management and communication skills (both oral and written).
            • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5A3X5/567782117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-27T17:27:03.630Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/197102974-data-strategist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5A3X5/567782117/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +26e1f3fe-ee32-4cf4-80f6-e134c19a7722,196694284,Bell Canada,"Project Manager, Artificial Intelligence",on_site,"Toronto, Ontario",2023-02-15T17:21:03.548Z,"

            Req Id: 407636

            +

            +

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            +

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            +

            +
            +
            +
            +

            Short Description

            +
            +
            +

            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is accountable for the successful planning, design, and implementation of Machine Learning programs and/or projects that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, IT and other Business Units to implement programs that will positively impact our operations by improving the technician/customer experience and supporting processes.

            +

            The AI Project Manager, Field Services must also anticipate end-to-end impacts including understanding the core of the problem we’re trying to solve, defining business requirements, quantifying financial benefits and leading change across the organization via collaboration with peers. This individual requires solid project management and problem solving skills with the ability to manage deliverable execution by leveraging standard project management concepts and tools. This individual should be eager to learn the business teams, tools and processes to better execute their program.

            +
            +
            +
            +
            +

            Key Responsibilites

            +
            +
              +
            • Lead, plan, organize and implement the design and delivery of Field Services Machine Learning projects
            • +
            • Effectively engage, lead and influence cross-functional teams to deliver highest level of quality on all projects within committed timeline and scope, and meeting all project requirements and deliverables.
            • +
            • Develop project business case, scope, schedule & all relevant project documentation
            • +
            • Actively lead the creation of business cases and financial forecasts to prove the viability of new initiatives, including data collection and analysis, process mapping and redesign, and potential operational efficiencies.
            • +
            • Engage and build strong relationships with project sponsors and stakeholders to incorporate their goals, and instill confidence to ensure alignment to and adoption of solutions.
            • +
            • Work with data scientists and analyst to develop solutions that address the business problem at hand
            • +
            • Track project and model performance using appropriate KPIs, metrics and techniques
            • +
            • Own strategic initiatives that impact all of Field Services including
            • +
            • Establishing the process, tools, and resources required to build out the governance model of an initiative
            • +
            • Set the strategic vision & initiate projects that drive meaningful impacts to the business
            • +
            +
            +
            +
            +

            Critical Qualifications

            +
            +
              +
            • A university degree in a business or technical fields such as computer science, computer engineering, commerce, business management or related field
            • +
            • Proven leadership and influencing skills, with the ability to get things done while managing various stakeholders
            • +
            • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analyses
            • +
            • Strong analytical skills with experience in developing & managing business requirements
            • +
            • Project / program management skills & experience
            • +
            • Familiarity with machine learning and artificial intelligence concepts
            • +
            • Energetic self-starter who thrives in a fast-paced environment with ability to work under pressure
            • +
            • Authentic, professional and confident communicator. Able to influence project teams and stakeholders through effective communication and presentation skills to all levels of the organization
            • +
            • Strong MS Office skills, particularly Excel and PowerPoint
            • +
            +
            +
            +
            +

            Preferred Qualifications

            +
            +
            +
              +
            • PMP, PRINCE2 or Agile certification is an asset
            • +
            • Field Services experience is an asset
            • +
            • Technical Network experience is an asset
            • +
            +

            #Indeed #Tech #Technology #Talent #PMP #Network #PM #ProjectManager #AI #ArtificialIntelligence #MachineLearning #ProjectManagement

            +
            +
            +
            +

            +

            #EmployeeReferralProgram

            +

            +

            Adequate knowledge of French is required for positions in Quebec.

            +

            +

            Additional Information:

            +

            Position Type: Management
            Job Status:
            Regular - Full Time
            Job Location:
            Canada : Ontario : Toronto
            Flexible work profile:
            Mobile
            Application Deadline: 02/28/2023

            +

            +

            All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

            +


            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            +

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            +

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            +

            Created: Canada, ON, Toronto

            +

            +

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA407636EXTERNALENCA/Project-Manager-Artificial-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-27T17:26:03.377Z,False,0,6,42,https://talenthub.vectorinstitute.ai/jobs/196694284-project-manager-artificial-intelligence-at-bell-canada,BECACA407636EXTERNALENCA,expired,2023-02-15T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +8cb74799-7e74-4316-9c89-afcf944789c4,178993233,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:02.745Z,"

            +

            +

            +

            +

            Requisition ID: 169146

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Term: May-August 2023

            +

            Application Deadline: 01/27/2023

            +

            +

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
            • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
            • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
            • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
            • Make impact by constantly identifying and implementing process improvements
            • Experiment & learn!
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs,
            • You have strong written/verbal communication and project management skills.
            • +You have knowledge/experience in:
              • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
              • Interpreting and consolidating large amounts of information in actionable recommendations.
              • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
              • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
              • Visualization tools like PowerBI, Tableau or Qlikview
              • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
              • Making sense of data, creating reports, and communicating KPI’s
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

            +
            1. Complete your PLUM Profile here and save as a screenshot.
            2. Complete a short one-way video interview here.
            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            4. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-26T17:27:03.338Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/178993233-wealth-management-data-analytics-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +88b99c14-3591-46c8-b590-fe7bae629854,179960355,TD Bank Group,TD Securities Financial Analyst Intern/Co-op,on_site,"Toronto, ON",2022-12-22T17:24:07.783Z,"
            +

            Company Overview

            +
            +

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            +

            Why TD?

            +

            TD’s Colleague Promise: A better you. A better us.

            +

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            +
            +

            +

            Department Overview

            +
            +

            The TD Securities Strategic Analysis and Support team is part of the Wholesale Banking (TD Securities) Finance group and is responsible for the management reporting of results for the Wholesale Bank and its Regional Offices (e.g. the U.S., Europe and Asia), developing the Wholesale strategy and related presentations, financial planning, and providing research and analysis support for our business partners.

            +

            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

            +

            Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

            +
              +
            • Leadership talks with key Leaders from across the organization
            • +
            • Lunch and Learns on topics such as Innovation
            • +
            • Diversity and Inclusion and Personal Branding and so much more
            • +
            +
            +

            +

            Job Description

            +
            +

            Reporting to the Senior Manager, you will be responsible for supporting both the Senior Analysts and Manager with strategic analysis and planning/forecasting for the Wholesale Banking business. Responsibilities may include results analysis, process automation, and ad-hoc reporting to support our stakeholders.

            +

            Role Accountabilities:

            +
              +
            • Support Forecasting/Planning, Monthly Operating Results, and other ad-hoc presentations and activities
            • +
            • Position requires strong analytical/ financial modelling skills to provide high level financial analysis and value-added insight into the business
            • +
            • Work collaboratively with team members to maximize shareholder value by conducting analyses to support key business decisions and the achievement of business partner or department objectives
            • +
            • Initiate actions to further improve your own and the team’s skills and performance. Continuously look for opportunities for professional development.
            • +
            • Demonstrate governance, control and risk management behaviors in alignment with TD policies and practices.
            • +
            • Develop and maintain good relationships with key business / finance partners and other stakeholders
            • +
            +

            +
            +

            +

            Requirements

            +
              +
            • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
            • +
            • Self-motivated individual with a curiosity to learn
            • +
            • Proactive self-starter with ability to work independently
            • +
            • Exhibits meticulous attention to detail, analytical thinking, and strong financial modelling capabilities to understand and interpret financial results
            • +
            • Strong organizational and time management skills with ability to multi-task and prioritize work effectively to meet deadlines
            • +
            • Strong interpersonal and communication skills, both verbal and written
            • +
            • Ability to develop and maintain good relationships with key business and finance partners, and other stakeholders
            • +
            • Proactive in making recommendations to improve processes and the working environment
            • +
            • Ability to work well in a collaborative, fast-paced environment and contribute to a positive workplace culture
            • +
            • High level of proficiency in Excel, Word, and PowerPoint
            • +
            • Pursuing university in a business or quantitative discipline
            • +
            +

            +

            Additional Information

            +
              +
            • This position is a 4-month work term and will commence May 1st – August 25th 2023.
            • +
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • +
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • +
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • +
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Start Date

            +
            – Summer
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17510812/td-securities-financial-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/179960355-td-securities-financial-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17510812/td-securities-financial-analyst-intern-co-op-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +436d3204-15b2-4262-9c5f-929dbd90ac1b,181084237,TD Bank Group,Cards Account Management Analyst Intern/Co-op,on_site,"Toronto, ON",2022-12-26T17:24:05.633Z,"
            +

            Company Overview

            +
            +

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            +

            Why TD?

            +

            TD’s Colleague Promise: A better you. A better us.

            +

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            +
            +

            +

            Department Overview

            +
            +

            The Canadian Credit Cards and Personal Lending Group is responsible for product development, originations, customer lifecycle management, and financial performance of all Canadian Credit Card products. TD is a market leader in unsecured lending and by provides a diverse suite of products and services. The Credit Risk and Exposure Management Team is a first line risk function that is responsible for the development and optimization of credit risk strategies and account management programs balancing business growth, customer experience, and credit losses.
            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

            +

            Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

            +
              +
            • Leadership talks with key Leaders from across the organization
            • +
            • Lunch and Learns on topics such as Innovation
            • +
            • Diversity and Inclusion and Personal Branding and so much more
            • +
            +
            +

            +

            Job Description

            +
            +

            As the successful candidate– Cards Account Management, you will assist with line management and balance build programs for Credit Cards. You will be responsible for assisting with driving balances for the Canadian credit cards portfolio through the optimization of product, risk, and marketing strategies. You will assist with strategy development and execution of risk strategies balancing business growth objectives with managing credit losses.

            +

            Responsibilities include, but are not limited to:

            +
              +
            • Using analytical skills to derive insights and optimize the credit limit increase program
            • +
            • Participate fully as a member of the team, willingly assisting others as appropriate to support a positive work environment and promote service to the business; keep other informed and up to date on status/ progress of projects
            • +
            • Driving improvements in E2E customer experience and optimize delivery of account management programs
            • +
            • Managing credit losses through exposure reduction programs
            • +
            • Acting as “First Line of Defense” by managing and identifying risk in credit strategies, ensuring strategies are within TD’s Risk Appetite and risk management policies and adapting to changes in macroeconomic environment
            • +
            +
            +

            +

            Requirements

            +
              +
            • Currently enrolled in an undergraduate/ post-graduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
            • +
            • Strong data and analytical skills (Excel/ Tableau/ SQL) with problem-solving ability
            • +
            • Strong thought leadership and strategic thinking ability with a focus on customer
            • +
            • Proven ability to operate and deliver outcomes in a fast-paced matrixed organization
            • +
            • Ability to communicate and collaborate effectively (both in speaking and writing), work independently, follow instructions/ direction, provide assistance and build relationships
            • +
            • Knowledge of the credit card business is an asset
            • +
            +

            +

            Additional Information

            +
              +
            • This position is a 4-month work term and will commence May 1st – August 25th 2023.
            • +
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • +
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • +
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • +
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Start Date

            +
            – Spring, – Summer
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17522456/cards-account-management-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084237-cards-account-management-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17522456/cards-account-management-analyst-intern-co-op-toronto-ca/,expired,2022-12-26T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +93eea563-42f4-40f4-9720-e51d77346e74,182853195,TD Bank Group,Quantitative Analytics Specialist,on_site,"Toronto, ON",2023-01-02T17:24:04.227Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            Lead the development and enhancement of advanced quantitative models to enable efficient pricing and risk management of financial products trading in the capital markets. Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making.
            +

            +

            Job Description

            +
            +

            Customer Accountabilities:

            +
              +
            • Lead the development of complex, statistical and/or mathematical quantitative analytics models
            • +
            • Provides senior level support in the identification and assessment of risks and recommends policies for modelling these risks
            • +
            • Provide financial, analytical, planning, and forecasting expertise to assist in the development and completion of relevant model development or validation projects
            • +
            • Perform quantitative analysis, programming and computer modelling related to the research of consistent operational risk measurements across broad range of relevant products
            • +
            • Conduct complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio
            • +
            • Apply in-depth understanding of the whole function and/or key business areas supported in the development or validation of complex models
            • +
            • Provide financial, analytical, modeling expertise to build quantitative models for financial regulatory projects
            • +
            • Perform quantitative model assumptions’ tests for soundness of model theory
            • +
            • Review model results and identifies unexpected results.
            • +
            • Resolve escalated issues and problems by conferring with staff
            • +
            • Develop specialized analytical tools for projects or ongoing use
            • +
            • May manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes
            • +
            • May assist with creation and oversight of model documentation, as necessary
            • +
            • May lead additional research efforts, applying expertise in quantitative analysis and modeling
            • +
            • Explore best practice modeling techniques for model enhancement
            • +
            • Perform analysis of model risk and valuation calculations as applied to current markets, explain and validate results with trading management, and justify or remediate any observed anomalies
            • +
            • Provide training and mentoring for new and less experienced staff
            • +
            • Develop and maintain strong business relationships with trading desks and business line management
            • +
            • Assists in the development, forecasting, and analysis of potential responses to regulatory inquiry related to models
            • +
            +

            +

            Shareholder Accountabilities:

            +
              +
            • Adhere to enterprise frameworks or methodologies that relate to activities for our business area
            • +
            • Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
            • +
            • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
            • +
            • Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
            • +
            • Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
            • +
            • Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience
            • +
            • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
            • +
            • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
            • +
            • Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues
            • +
            • Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements
            • +
            • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
            • +
            • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
            • +
            +
            +

            +

            Requirements

            +
              +
            • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
            • +
            • 7+ years relevant experience
            • +
            +

            +

            Additional Information

            +
            +

            Employee/Team Accountabilities:

            +
              +
            • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
            • +
            • Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
            • +
            • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
            • +
            • Participate in personal performance management and development activities, including cross training within own team
            • +
            • Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
            • +
            • Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
            • +
            • Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
            • +
            • Contribute to a fair, positive and equitable environment that supports a diverse workforce
            • +
            • Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
            • +
            +

            +

            Breadth and Depth:

            +
              +
            • Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
            • +
            • Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations
            • +
            • Interprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services
            • +
            • Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists
            • +
            • Leads cross-functional teams or projects with significant resource requirements, risk and / or complexity
            • +
            • Independently manages end-to-end functional programs
            • +
            • Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions
            • +
            • Uses sophisticated analytical thought to exercise judgement and identify solutions
            • +
            • Impacts the achievement of sub-function or business line objectives within the area they are accountable for
            • +
            • Work is guided by policies and industry standards/methods
            • +
            • Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders
            • +
            • Works autonomously as the lead and guides others within area of expertise
            • +
            • Generally reports to a Senior Manager or above
            • +
            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17475529/quantitative-analytics-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/182853195-quantitative-analytics-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17475529/quantitative-analytics-specialist-toronto-ca/,expired,2023-01-02T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7f62358a-0cbc-4d51-948a-05ad7e7f04c7,178993242,Scotiabank,Velocity - Finance Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:03.473Z,"

            +

            +

            +

            +

            Requisition ID: 169646

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Term: May-August 2023

            +

            Application Deadline: 01/23/2023

            +

            +

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Update/validate formulas in planning and reporting.
            • Populate reporting templates with actual results and ensure completeness.
            • Data analysis projects related to various business initiatives.
            • Assist in the preparation of summary information packages to communicate to leadership.
            • Work on the ongoing tracking/reporting of financial metrics.
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
            • You are a highly self-motivated individual with strong time-management skills.
            • You have an analytical mindset and investigative abilities.
            • You have strong written and verbal communication skills.
            • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
            • You understand PowerBI, SAS, SQL or Tableau.
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

            +

            +
            1. Complete your PLUM Profile here and save as a screenshot.
            2. +
            +
            1. Complete a short one-way video interview here.
            2. +
            +
            1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            2. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

            +

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-05T17:27:05.024Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/178993242-velocity-finance-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +6e8c4b09-4efd-4c5e-8e85-a78ed8ecf8d4,197102974,Scotiabank,Data Strategist - CID&A,on_site,Canada : Ontario : Toronto,2023-02-16T17:22:02.131Z,"

            +

            +

            +

            +

            Requisition ID: 173602

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Data Strategist

            +

            +

            As a Data Strategist in Global Data and Analytics Team, you will help integrate analytics capabilities into the Bank’s digital products and by developing and implementing data strategies that will help improve customer experience.

            +


            What will you do in this role?

            +



            • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
            • Understand performance trends, identify opportunities for growth, and provide actionable insights.
            • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
            • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
            • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
            • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
            • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
            • Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
            • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
            • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
            • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

            +



            Are you the right person for the role?

            +


            • You have a strong business acumen, and you excel at developing and communicating analytics insights
            • You are not afraid to challenge the status quo
            • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
            • You can pivot and adapt to change
            • You spend your free time tinkering with new technologies or building apps on the side
            • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
            • You have a high aptitude for diving in, taking ownership and picking up new things
            • You're eager to mentor, teach and share your ideas in a team environment
            • You have open and transparent communication style, including the ability to distil technical details into human terms

            +

            Do you have the skills that will enable you to succeed in this role?

            +


            • You have 5+ years of experience with data management, performance measurement and stakeholder management
            • You have a university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
            • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
            • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
            • You have experience using visualization tools like Power BI, Tableau or QlikView
            • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
            • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
            • You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
            • Strong project management and communication skills (both oral and written).
            • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5A3X5/567782117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-27T17:27:03.630Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/197102974-data-strategist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5A3X5/567782117/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +26e1f3fe-ee32-4cf4-80f6-e134c19a7722,196694284,Bell Canada,"Project Manager, Artificial Intelligence",on_site,"Toronto, Ontario",2023-02-15T17:21:03.548Z,"

            Req Id: 407636

            +

            +

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            +

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            +

            +
            +
            +
            +

            Short Description

            +
            +
            +

            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is accountable for the successful planning, design, and implementation of Machine Learning programs and/or projects that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, IT and other Business Units to implement programs that will positively impact our operations by improving the technician/customer experience and supporting processes.

            +

            The AI Project Manager, Field Services must also anticipate end-to-end impacts including understanding the core of the problem we’re trying to solve, defining business requirements, quantifying financial benefits and leading change across the organization via collaboration with peers. This individual requires solid project management and problem solving skills with the ability to manage deliverable execution by leveraging standard project management concepts and tools. This individual should be eager to learn the business teams, tools and processes to better execute their program.

            +
            +
            +
            +
            +

            Key Responsibilites

            +
            +
              +
            • Lead, plan, organize and implement the design and delivery of Field Services Machine Learning projects
            • +
            • Effectively engage, lead and influence cross-functional teams to deliver highest level of quality on all projects within committed timeline and scope, and meeting all project requirements and deliverables.
            • +
            • Develop project business case, scope, schedule & all relevant project documentation
            • +
            • Actively lead the creation of business cases and financial forecasts to prove the viability of new initiatives, including data collection and analysis, process mapping and redesign, and potential operational efficiencies.
            • +
            • Engage and build strong relationships with project sponsors and stakeholders to incorporate their goals, and instill confidence to ensure alignment to and adoption of solutions.
            • +
            • Work with data scientists and analyst to develop solutions that address the business problem at hand
            • +
            • Track project and model performance using appropriate KPIs, metrics and techniques
            • +
            • Own strategic initiatives that impact all of Field Services including
            • +
            • Establishing the process, tools, and resources required to build out the governance model of an initiative
            • +
            • Set the strategic vision & initiate projects that drive meaningful impacts to the business
            • +
            +
            +
            +
            +

            Critical Qualifications

            +
            +
              +
            • A university degree in a business or technical fields such as computer science, computer engineering, commerce, business management or related field
            • +
            • Proven leadership and influencing skills, with the ability to get things done while managing various stakeholders
            • +
            • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analyses
            • +
            • Strong analytical skills with experience in developing & managing business requirements
            • +
            • Project / program management skills & experience
            • +
            • Familiarity with machine learning and artificial intelligence concepts
            • +
            • Energetic self-starter who thrives in a fast-paced environment with ability to work under pressure
            • +
            • Authentic, professional and confident communicator. Able to influence project teams and stakeholders through effective communication and presentation skills to all levels of the organization
            • +
            • Strong MS Office skills, particularly Excel and PowerPoint
            • +
            +
            +
            +
            +

            Preferred Qualifications

            +
            +
            +
              +
            • PMP, PRINCE2 or Agile certification is an asset
            • +
            • Field Services experience is an asset
            • +
            • Technical Network experience is an asset
            • +
            +

            #Indeed #Tech #Technology #Talent #PMP #Network #PM #ProjectManager #AI #ArtificialIntelligence #MachineLearning #ProjectManagement

            +
            +
            +
            +

            +

            #EmployeeReferralProgram

            +

            +

            Adequate knowledge of French is required for positions in Quebec.

            +

            +

            Additional Information:

            +

            Position Type: Management
            Job Status:
            Regular - Full Time
            Job Location:
            Canada : Ontario : Toronto
            Flexible work profile:
            Mobile
            Application Deadline: 02/28/2023

            +

            +

            All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

            +


            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            +

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            +

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            +

            Created: Canada, ON, Toronto

            +

            +

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA407636EXTERNALENCA/Project-Manager-Artificial-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-27T17:26:03.377Z,False,0,6,42,https://talenthub.vectorinstitute.ai/jobs/196694284-project-manager-artificial-intelligence-at-bell-canada,BECACA407636EXTERNALENCA,expired,2023-02-15T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, 8b69eb60-07d3-4dfd-a56a-a07bd1f24422,198034006,TD Bank Group,Product Analyst MBNA PRJ Shopping & Buying Intern/Co-op,on_site,"Toronto, ON",2023-02-20T17:24:02.610Z,"

            Company Overview

            @@ -85727,684 +86770,6 @@ abca9e23-5261-46f8-a270-9b6f8c8358b5,163233044,Loblaw Companies Ltd.,Data Scient

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-08T14:46:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/172488961-data-analyst-global-compliance-data-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,expired,2022-12-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Post-Graduate Diploma,New Posting, -2fc4fa31-4d17-4727-a1a9-97b9c9bc0641,189568976,Scotiabank,Manager Business Intelligence,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.105Z,"

            -

            -

            -

            -

            Requisition ID: 169603

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Reporting to the Director IB Analytics Transformation, the Manager, Business Intelligence (BI) will lead projects, in support of the in-country Analytics Roadmap, and drive accelerated benefits for our customers. They will ensures all strategies, plans and initiatives are executed/delivered in compliance with governing regulations, internal policies, and procedures.

            -

            -

            The Manager will support and contribute to the overall success of the International Banking (IB) analytics initiatives by supporting the execution of the BI reporting system, aligned with the business strategies and objectives and take ownership of complete work streams within BI Initiatives to answer key relevant questions from Senior Leadership. They will also work with cross functional teams from various business lines in Canada and IB markets. This role requires business knowledge combined with data mining, and visual data techniques to improve the data availability and BI capabilities that will enhance the decision-making process while creating business value.

            -

            -

            Accountabilities:

            -

            -
            • Coordinate with our key partners in International Banking and across the division the review and collection of data for the different IB Analytics initiatives
            • Review data to ensure its integrity for data analysis to deliver business insights and validate hypotheses
            • Build compelling and user-friendly Power BI reports/dashboards
            • Lead development efforts in ingesting and transforming data from various sources. Build scripts, and be responsible for end-to-end delivery of data
            • Translate the findings into executive communications
            • Must be creative, self-starting, results-oriented, and highly motivated with excellent analytical skills
            • Should be a team player and should adapt to change and work accordingly in a positive manner
            • Should have excellent verbal and written communication, effectively convey ideas verbally, have clear written communication especially when responding to non-technical / business team members
            • -
            -

            -

            Education and Experience:

            -

            -
            • Bachelor’s Degree in Computer Science, Statistics, or related field
            • 4+ years of experience in financial services, business intelligence and/or data engineering
            • Working knowledge of Retail Banking products: lending, deposits and complementary products and services offered by other financial institutions and niche competitors
            • Self-motivated, driven and impact-oriented
            • Demonstrated ability to analyze data, interpret results and communicate in simple terms
            • Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics
            • Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments
            • Nice to have familiarity with DBA tasks and ETL tools
            • Fluency in Spanish is preferred
            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/189568976-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -421f7446-4986-4f6d-b106-aaec90871a9f,189568958,Scotiabank,"Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.480Z,"

            -

            -

            -

            -

            Requisition ID: 171483

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose:

            -

            -

            The Manager, Business Banking Analytics is accountable for managing data ETL, data feed preparation & reporting and BI related tasks for Scotiabank Small Business and Commercial government relief programs. The incumbent leverages his/her subject matter expertise on data, project management, database architecture, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners. They work with IT, Enterprise Data warehouse and other internal and external data providers to provide sound data infrastructure for regulatory reporting, portfolio management and analytics.

            -



            Key Accountabilities:

            -



            • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
            • Lead the creation of daily, weekly and monthly reporting of CEBA loan transactions to senior management and regulatory bodies incl. the Government of Canada
            • Develop and maintain productive relationships with key business leaders and other stakeholders internal and external to the organization such as Collection, Audit, product groups and external partners
            • Participate in in regular planning and status meetings with government stakeholders to understand latest update on data requirements
            • Lead data reconciliation and audit with internal parties and external stakeholders
            • Analyse and implement data quality control processes to overcome any discrepancies/errors
            • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget
            • Lead automation of reports on an ongoing basis in order to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.
            • Utilize Business Intelligence methodology to interpret, synthesize and deliver timely reporting & analyses; monitor portfolio activities; Airflow experience is nice to have for scheduling and automation purposes.
            • Continuously acquire and enhance knowledge of business/product strategies, reporting tools, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
            • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc reporting needs with business stakeholders and/or external partners/consultants.

            -



            Qualifications:

            -



            • 4+ years experience in Analytics or MIS/BI Reporting
            • 4+ years experience in programming, ETL management in EDL environment and/or data warehousing
            • Proficient in Python and SQL
            • Previous project management experience and can collaborate with cross functional teams
            • Working knowledge of Hadoop, Big Data, Data Lake, Hive, Spark
            • Proficient in BI tools such as PowerBI or Tableau
            • Excellent verbal and written communication skills essential with clients, vendors and management
            • Excellent organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
            • Experience in Business Banking (Commercial/Small Business) an asset

            -

            -

            Educational Requirements:

            -

            -

            • University Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
            • Master in Analytics, quantitative areas, MBA - preferred

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/189568958-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3ae75d3b-2e2e-4d08-b364-9d8474b54423,189568963,Scotiabank,"Senior Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.587Z,"

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            -

            -

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            Requisition ID: 171493

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -


            Purpose:

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            -

            Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Senior Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills.

            -

            -

            The incumbent uses their advanced analyticals skills to develop analytical assets that will help the Bank achieve its business objectives. The incumbent will work closely with internal business lines, data stewarts and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage.

            -

            -

            The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies. Excellent written and communiation skills are requiried and the Senior Data Scientist will work closely with the Director to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

            -

            -

            -

            Accountabilities:

            -

            -
            • Expert in analyzing large, complex multi-dimentional datasets in structured and unstructured format.
            • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
            • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
            • Prepare detailed documentation to outline data sources, models and algorithms used and developed
            • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
            • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
            • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
            • Provide strong leadership, mentor and manage direct reports to motivate both individual and team performance and foster a commitment to the Bank’s objectives. Recruit high potential candidates, develop staff by sharing knowledge/experience and provide opportunities for staff to share responsibility for achieving business objectives/goals. Identify resourcing, issues and implement activities to resolve these items in a timely manner. Ensure that the Bank has the capabilities and skill sets to compete develop a competitive advantage in analytics over other financial institutions
            • -
            -

            -


            Requirements & Qualifications:

            -

            -
            • The incumbent supports a wide range of analytical activities, and must conduct unbiased, customer-focused analytics, while at the same time ensuring that results do not impede customer acquisition/retention, business line growth and profitability activities. To be successful in the position, the incumbent requires the following technical and behavioral competencies:
            • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
            • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
            • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
            • Strong programming skills in Python and SQL.
            • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
            • Experience using common machine learning algorithms in Python, GCP.
            • Experience using and implementing visualization tools like PowerBI and/or Tableau.
            • Knowledge of the Business Banking products and services an asset.
            • -
            -

            -

            Educational Requirements:

            -

            -
            • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
            • -
            -

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/189568963-senior-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f25586f3-5ebd-47ad-a4af-495c9e7ffcae,185685864,RBC,Senior Data Scientist (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-10T21:28:19.944Z,"

            -

            -

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -


            Come Work with Us!

            -

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Data Scientist- 3 vacant positions

            -

            Job Description

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What is the opportunity?

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What will you do?

            - -


            What do you need to succeed?

            -

            Must-have

            - -

            Nice to have:

            - -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -


            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Strategy and Administration

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2023-01-06-08:00

            -

            Application Deadline:

            -

            2023-01-20-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:53:00.000Z,False,43,0,263,https://talenthub.vectorinstitute.ai/jobs/185685864-senior-data-scientist-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-10T21:28:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Masters Degree,New Posting, -6076e9b9-1288-4eaa-82b3-1670e6d7ac02,185923459,RBC,Senior Full Stack Cloud/ML Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:10:54.746Z,"

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Full Stack Engineer

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            -

            What if you could use your technology skills to work on products that make an impact when it comes to delivering unforgettable client experiences? Our team is building capabilities that enable the end-to-end transformation of our customers' journeys –building and leading with technologies that put data privacy and responsible AI practices at the forefront. We’re a team of resilient, collaborative people with a hunger for learning and delivering trusted data and AI-powered capabilities to support top-notch client experiences and we have our sights set on building the tech stack of the future with modern, flexible architecture by building once, and reusing across channels – how’s that for efficiency?

            -

            -

            We’re building a team who is not afraid to challenge the status quo, embraces innovation, and is excited to bring a fresh perspective. We’re looking for a talented and passionate Lead/Senior ML Engineer to join our team in Toronto. People who join our team will be able to work on the most innovative solutions to enable self-service analytics capabilities delivered via both public and private cloud platforms using event and microservices-based architectures. Join our team today and magnify your impact influencing the future of banking on a global scale. RBC is committed to being the destination of choice for technologists, driven by our engineering culture of curiosity, bold ambition and outcomes

            -

            -

            What will you do?

            -

            As the Senior (Full Stack) Cloud/ML Engineer, you will play a key role in our immediate and long-term strategic technical delivery direction for a multi-disciplined team of technologists. Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

            -

            -

            If you’re a hands-on technical leader with proven experience building high-performing teams, are continuously learning, and excited to mentor those around you—we have a spot for you on our team.

            -

            - -

            -

              

            -

            What do you need to succeed?

            -

            Must-have

            - -

            -

            Nice-to-have

            - -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -

            -

            -

            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Technology and Operations

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2022-12-14-08:00

            -

            Application Deadline:

            -

            2023-01-31-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:58:00.000Z,False,2,0,51,https://talenthub.vectorinstitute.ai/jobs/185923459-senior-full-stack-cloud-ml-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -9d48573c-3f55-4637-b029-473549b74f7c,209218758,RBC,"Sr Manager, Portfolio Monitoring & Analytics",on_site,"Toronto, ON, Canada",2023-03-27T17:16:03.424Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Sr Manager, Portfolio Monitoring & Analytics

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            As Sr. Manager, Portfolio Monitoring Analytics, you support the Director in achieving the business objectives, strategic priorities and operational effectiveness goals of Business Credit and the Portfolio Monitoring team. You are responsible in providing MIS and analytics support to help ensure appropriate oversight and monitoring of the Business Credit portfolio and Field compliance activities and to support strategic initiatives and special projects.

            -

            -

            What will you do?

            -

            • Use your strong analytical capabilities and ability to clearly formulate/articulate findings to stakeholders and senior management

            -

            • Apply understanding of Business Credit and Portfolio Monitoring processes to develop data requirements, gather and analyze reporting requirements, and determine the best data sources.

            -

            • Support strategic initiatives and specialized reporting through data sourcing, manipulation, analysis, visualizations, reporting and value-added insights, developing tool and BI solutions.

            -

            • Provide support to develop and continuously improve Portfolio Monitoring Reporting infrastructure for Business Credit and identify/recommend ways to simplify and automate processes.

            -

            • Enhance Business Credit client information capabilities and develop and analytic capabilities through SAS, SQL Server, Tableau and other technology

            -

            • Implement robust documentation of Business Credit Portfolio Monitoring Reporting and analytical procedures in a clear and concise manner for audit and regulatory purposes

            -

            -

            What do you need to succeed?

            -

            Must-have

            -

            • 5 to10 years of work experience in the financial services industry as well as a minimum of 3 years of experience with large relational databases

            -

            • Undergraduate or graduate degree in Business, Mathematics, or related fields

            -

            • Advanced SAS (including base SAS)

            -

            • Advanced SQL programming and SQL Server experience

            -

            • Strong proficiency in Tableau and advanced data visualization skills, including dashboard design, optimization and advanced calculated fields (Tableau Qualified Associate or above preferred); Strong understanding of Tableau Server, including setting up groups, folders, setting up permissions;

            -

            • Analytical mindset and excellent communication and presentations skills with proven ability to communicate effectively and build strong relationships through a collaborative and consultative approach

            -

            • Must be able to work independently with minimal supervision with good organizational awareness and strong execution excellence

            -

            -

            Nice-to-have

            -

            • Knowledge of Small Business and Commercial Credits and Risks

            -

            • Experience with Teradata/Data Lake infrastructures

            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -

            • Leverage this unique developmental opportunity to build out your analytical skills and deepen your knowledge about Commercial Credit and Business Markets.

            -

            • A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation

            -

            • Ability to make a difference and lasting impact

            -

            • Work in a dynamic, collaborative, progressive, and high-performing team

            -

            • Opportunities to do challenging work

            -

            -

            -

            Job Summary

            Manages financial and administrative support functions and day-to-day activities to ensure financial objectives are fully achieved. Typically manages 2 or more specialized departments comprised of supervisors, managers, professionals, and/or large numbers of operational support employees.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-03-24

            Application Deadline:

            2023-04-08
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000054540/Sr-Manager-Portfolio-Monitoring-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-03T17:21:03.923Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/209218758-sr-manager-portfolio-monitoring-analytics-at-rbc,,expired,2023-03-27T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -08f492d1-7a58-4bf6-9c92-c1b5f0448d6a,210221121,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-03-30T17:24:03.443Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -
            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
            -

            -

            Job Description

            -
            -

            About this Role

            -

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

            -
              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from segmentation, risk, and performance data
            • -
            • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
            • -
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • -
            • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • -
            -
            -

            -

            Requirements

            -
            -What can you bring to TD?

            -

            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
              -
            • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
            • -
            • Up to 7 years’ experience of working in analytical environments
            • -
            • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
            • -
            • Expertise in analytical tools such as SAS
            • -
            • High proficiency in Python, PySpark, Java, R, and its essential libraries.
            • -
            • Experience with Git
            • -
            • Experience with relational databases and usage of SQL
            • -
            • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
            • -
            • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
            • -
            • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
            • -
            • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
            • -
            -
            -

            -

            Additional Information

            -
            -#LI-Hybrid #datascientist
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-03T17:29:04.818Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/210221121-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -2fc4fa31-4d17-4727-a1a9-97b9c9bc0641,189568976,Scotiabank,Manager Business Intelligence,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.105Z,"

            -

            -

            -

            -

            Requisition ID: 169603

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Reporting to the Director IB Analytics Transformation, the Manager, Business Intelligence (BI) will lead projects, in support of the in-country Analytics Roadmap, and drive accelerated benefits for our customers. They will ensures all strategies, plans and initiatives are executed/delivered in compliance with governing regulations, internal policies, and procedures.

            -

            -

            The Manager will support and contribute to the overall success of the International Banking (IB) analytics initiatives by supporting the execution of the BI reporting system, aligned with the business strategies and objectives and take ownership of complete work streams within BI Initiatives to answer key relevant questions from Senior Leadership. They will also work with cross functional teams from various business lines in Canada and IB markets. This role requires business knowledge combined with data mining, and visual data techniques to improve the data availability and BI capabilities that will enhance the decision-making process while creating business value.

            -

            -

            Accountabilities:

            -

            -
            • Coordinate with our key partners in International Banking and across the division the review and collection of data for the different IB Analytics initiatives
            • Review data to ensure its integrity for data analysis to deliver business insights and validate hypotheses
            • Build compelling and user-friendly Power BI reports/dashboards
            • Lead development efforts in ingesting and transforming data from various sources. Build scripts, and be responsible for end-to-end delivery of data
            • Translate the findings into executive communications
            • Must be creative, self-starting, results-oriented, and highly motivated with excellent analytical skills
            • Should be a team player and should adapt to change and work accordingly in a positive manner
            • Should have excellent verbal and written communication, effectively convey ideas verbally, have clear written communication especially when responding to non-technical / business team members
            • -
            -

            -

            Education and Experience:

            -

            -
            • Bachelor’s Degree in Computer Science, Statistics, or related field
            • 4+ years of experience in financial services, business intelligence and/or data engineering
            • Working knowledge of Retail Banking products: lending, deposits and complementary products and services offered by other financial institutions and niche competitors
            • Self-motivated, driven and impact-oriented
            • Demonstrated ability to analyze data, interpret results and communicate in simple terms
            • Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics
            • Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments
            • Nice to have familiarity with DBA tasks and ETL tools
            • Fluency in Spanish is preferred
            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/189568976-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -421f7446-4986-4f6d-b106-aaec90871a9f,189568958,Scotiabank,"Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.480Z,"

            -

            -

            -

            -

            Requisition ID: 171483

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose:

            -

            -

            The Manager, Business Banking Analytics is accountable for managing data ETL, data feed preparation & reporting and BI related tasks for Scotiabank Small Business and Commercial government relief programs. The incumbent leverages his/her subject matter expertise on data, project management, database architecture, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners. They work with IT, Enterprise Data warehouse and other internal and external data providers to provide sound data infrastructure for regulatory reporting, portfolio management and analytics.

            -



            Key Accountabilities:

            -



            • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
            • Lead the creation of daily, weekly and monthly reporting of CEBA loan transactions to senior management and regulatory bodies incl. the Government of Canada
            • Develop and maintain productive relationships with key business leaders and other stakeholders internal and external to the organization such as Collection, Audit, product groups and external partners
            • Participate in in regular planning and status meetings with government stakeholders to understand latest update on data requirements
            • Lead data reconciliation and audit with internal parties and external stakeholders
            • Analyse and implement data quality control processes to overcome any discrepancies/errors
            • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget
            • Lead automation of reports on an ongoing basis in order to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.
            • Utilize Business Intelligence methodology to interpret, synthesize and deliver timely reporting & analyses; monitor portfolio activities; Airflow experience is nice to have for scheduling and automation purposes.
            • Continuously acquire and enhance knowledge of business/product strategies, reporting tools, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
            • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc reporting needs with business stakeholders and/or external partners/consultants.

            -



            Qualifications:

            -



            • 4+ years experience in Analytics or MIS/BI Reporting
            • 4+ years experience in programming, ETL management in EDL environment and/or data warehousing
            • Proficient in Python and SQL
            • Previous project management experience and can collaborate with cross functional teams
            • Working knowledge of Hadoop, Big Data, Data Lake, Hive, Spark
            • Proficient in BI tools such as PowerBI or Tableau
            • Excellent verbal and written communication skills essential with clients, vendors and management
            • Excellent organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
            • Experience in Business Banking (Commercial/Small Business) an asset

            -

            -

            Educational Requirements:

            -

            -

            • University Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
            • Master in Analytics, quantitative areas, MBA - preferred

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/189568958-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3ae75d3b-2e2e-4d08-b364-9d8474b54423,189568963,Scotiabank,"Senior Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.587Z,"

            -

            -

            -

            -

            Requisition ID: 171493

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -


            Purpose:

            -

            -

            Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Senior Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills.

            -

            -

            The incumbent uses their advanced analyticals skills to develop analytical assets that will help the Bank achieve its business objectives. The incumbent will work closely with internal business lines, data stewarts and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage.

            -

            -

            The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies. Excellent written and communiation skills are requiried and the Senior Data Scientist will work closely with the Director to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

            -

            -

            -

            Accountabilities:

            -

            -
            • Expert in analyzing large, complex multi-dimentional datasets in structured and unstructured format.
            • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
            • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
            • Prepare detailed documentation to outline data sources, models and algorithms used and developed
            • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
            • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
            • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
            • Provide strong leadership, mentor and manage direct reports to motivate both individual and team performance and foster a commitment to the Bank’s objectives. Recruit high potential candidates, develop staff by sharing knowledge/experience and provide opportunities for staff to share responsibility for achieving business objectives/goals. Identify resourcing, issues and implement activities to resolve these items in a timely manner. Ensure that the Bank has the capabilities and skill sets to compete develop a competitive advantage in analytics over other financial institutions
            • -
            -

            -


            Requirements & Qualifications:

            -

            -
            • The incumbent supports a wide range of analytical activities, and must conduct unbiased, customer-focused analytics, while at the same time ensuring that results do not impede customer acquisition/retention, business line growth and profitability activities. To be successful in the position, the incumbent requires the following technical and behavioral competencies:
            • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
            • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
            • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
            • Strong programming skills in Python and SQL.
            • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
            • Experience using common machine learning algorithms in Python, GCP.
            • Experience using and implementing visualization tools like PowerBI and/or Tableau.
            • Knowledge of the Business Banking products and services an asset.
            • -
            -

            -

            Educational Requirements:

            -

            -
            • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
            • -
            -

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/189568963-senior-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f25586f3-5ebd-47ad-a4af-495c9e7ffcae,185685864,RBC,Senior Data Scientist (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-10T21:28:19.944Z,"

            -

            -

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -


            Come Work with Us!

            -

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Data Scientist- 3 vacant positions

            -

            Job Description

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What is the opportunity?

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What will you do?

            - -


            What do you need to succeed?

            -

            Must-have

            - -

            Nice to have:

            - -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -


            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Strategy and Administration

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2023-01-06-08:00

            -

            Application Deadline:

            -

            2023-01-20-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:53:00.000Z,False,43,0,263,https://talenthub.vectorinstitute.ai/jobs/185685864-senior-data-scientist-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-10T21:28:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Masters Degree,New Posting, -6076e9b9-1288-4eaa-82b3-1670e6d7ac02,185923459,RBC,Senior Full Stack Cloud/ML Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:10:54.746Z,"

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Full Stack Engineer

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            -

            What if you could use your technology skills to work on products that make an impact when it comes to delivering unforgettable client experiences? Our team is building capabilities that enable the end-to-end transformation of our customers' journeys –building and leading with technologies that put data privacy and responsible AI practices at the forefront. We’re a team of resilient, collaborative people with a hunger for learning and delivering trusted data and AI-powered capabilities to support top-notch client experiences and we have our sights set on building the tech stack of the future with modern, flexible architecture by building once, and reusing across channels – how’s that for efficiency?

            -

            -

            We’re building a team who is not afraid to challenge the status quo, embraces innovation, and is excited to bring a fresh perspective. We’re looking for a talented and passionate Lead/Senior ML Engineer to join our team in Toronto. People who join our team will be able to work on the most innovative solutions to enable self-service analytics capabilities delivered via both public and private cloud platforms using event and microservices-based architectures. Join our team today and magnify your impact influencing the future of banking on a global scale. RBC is committed to being the destination of choice for technologists, driven by our engineering culture of curiosity, bold ambition and outcomes

            -

            -

            What will you do?

            -

            As the Senior (Full Stack) Cloud/ML Engineer, you will play a key role in our immediate and long-term strategic technical delivery direction for a multi-disciplined team of technologists. Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

            -

            -

            If you’re a hands-on technical leader with proven experience building high-performing teams, are continuously learning, and excited to mentor those around you—we have a spot for you on our team.

            -

            - -

            -

              

            -

            What do you need to succeed?

            -

            Must-have

            - -

            -

            Nice-to-have

            - -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            - -

            -

            -

            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Technology and Operations

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2022-12-14-08:00

            -

            Application Deadline:

            -

            2023-01-31-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:58:00.000Z,False,2,0,51,https://talenthub.vectorinstitute.ai/jobs/185923459-senior-full-stack-cloud-ml-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -9d48573c-3f55-4637-b029-473549b74f7c,209218758,RBC,"Sr Manager, Portfolio Monitoring & Analytics",on_site,"Toronto, ON, Canada",2023-03-27T17:16:03.424Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Sr Manager, Portfolio Monitoring & Analytics

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            As Sr. Manager, Portfolio Monitoring Analytics, you support the Director in achieving the business objectives, strategic priorities and operational effectiveness goals of Business Credit and the Portfolio Monitoring team. You are responsible in providing MIS and analytics support to help ensure appropriate oversight and monitoring of the Business Credit portfolio and Field compliance activities and to support strategic initiatives and special projects.

            -

            -

            What will you do?

            -

            • Use your strong analytical capabilities and ability to clearly formulate/articulate findings to stakeholders and senior management

            -

            • Apply understanding of Business Credit and Portfolio Monitoring processes to develop data requirements, gather and analyze reporting requirements, and determine the best data sources.

            -

            • Support strategic initiatives and specialized reporting through data sourcing, manipulation, analysis, visualizations, reporting and value-added insights, developing tool and BI solutions.

            -

            • Provide support to develop and continuously improve Portfolio Monitoring Reporting infrastructure for Business Credit and identify/recommend ways to simplify and automate processes.

            -

            • Enhance Business Credit client information capabilities and develop and analytic capabilities through SAS, SQL Server, Tableau and other technology

            -

            • Implement robust documentation of Business Credit Portfolio Monitoring Reporting and analytical procedures in a clear and concise manner for audit and regulatory purposes

            -

            -

            What do you need to succeed?

            -

            Must-have

            -

            • 5 to10 years of work experience in the financial services industry as well as a minimum of 3 years of experience with large relational databases

            -

            • Undergraduate or graduate degree in Business, Mathematics, or related fields

            -

            • Advanced SAS (including base SAS)

            -

            • Advanced SQL programming and SQL Server experience

            -

            • Strong proficiency in Tableau and advanced data visualization skills, including dashboard design, optimization and advanced calculated fields (Tableau Qualified Associate or above preferred); Strong understanding of Tableau Server, including setting up groups, folders, setting up permissions;

            -

            • Analytical mindset and excellent communication and presentations skills with proven ability to communicate effectively and build strong relationships through a collaborative and consultative approach

            -

            • Must be able to work independently with minimal supervision with good organizational awareness and strong execution excellence

            -

            -

            Nice-to-have

            -

            • Knowledge of Small Business and Commercial Credits and Risks

            -

            • Experience with Teradata/Data Lake infrastructures

            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -

            • Leverage this unique developmental opportunity to build out your analytical skills and deepen your knowledge about Commercial Credit and Business Markets.

            -

            • A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation

            -

            • Ability to make a difference and lasting impact

            -

            • Work in a dynamic, collaborative, progressive, and high-performing team

            -

            • Opportunities to do challenging work

            -

            -

            -

            Job Summary

            Manages financial and administrative support functions and day-to-day activities to ensure financial objectives are fully achieved. Typically manages 2 or more specialized departments comprised of supervisors, managers, professionals, and/or large numbers of operational support employees.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-03-24

            Application Deadline:

            2023-04-08
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000054540/Sr-Manager-Portfolio-Monitoring-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-03T17:21:03.923Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/209218758-sr-manager-portfolio-monitoring-analytics-at-rbc,,expired,2023-03-27T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -08f492d1-7a58-4bf6-9c92-c1b5f0448d6a,210221121,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-03-30T17:24:03.443Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -
            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
            -

            -

            Job Description

            -
            -

            About this Role

            -

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

            -
              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from segmentation, risk, and performance data
            • -
            • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
            • -
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • -
            • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • -
            -
            -

            -

            Requirements

            -
            -What can you bring to TD?

            -

            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
              -
            • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
            • -
            • Up to 7 years’ experience of working in analytical environments
            • -
            • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
            • -
            • Expertise in analytical tools such as SAS
            • -
            • High proficiency in Python, PySpark, Java, R, and its essential libraries.
            • -
            • Experience with Git
            • -
            • Experience with relational databases and usage of SQL
            • -
            • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
            • -
            • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
            • -
            • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
            • -
            • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
            • -
            -
            -

            -

            Additional Information

            -
            -#LI-Hybrid #datascientist
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-03T17:29:04.818Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/210221121-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, bbbf9d0f-7232-4e97-9945-bb276b2bbb9d,210221127,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-03-30T17:24:04.606Z,"

            Company Overview

            @@ -88907,6 +89272,428 @@ e453a845-31d5-4c0b-8ab9-306d2b004a51,319463109,Thomson Reuters,"Data Architect,

            More information about Thomson Reuters can be found on https://thomsonreuters.com.

            ",,https://careers.thomsonreuters.com/us/en/job/JREQ175338/Data-Architect-Data-Platform?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-04-26T01:15:02.682Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/319463109-data-architect-data-platform-at-thomson-reuters,,expired,2024-04-23T01:10:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +986ce8eb-7f0f-47c7-8d51-67b2ca055bf5,197908551,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-02-19T17:27:03.139Z,"
            +

            What’s the opportunity?

            +

            Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

            +

            Your responsibilities include:

            +
              +
            • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
            • +
            • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
            • +
            • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
            • +
            • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
            • +
            • To manage other research team leads and provide guidance and support.
            • +
            • To help recruit, mentor and retain a high-performing research team across Borealis AI.
            • +
            +

            You’re our ideal candidate if you have:

            +
              +
            • A Ph.D. degree in Computer Science or a related technical field;
            • +
            • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
            • +
            • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
            • +
            • Experience delivering successful high-impact machine learning products
            • +
            • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
            • +
            • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
            • +
            • The ability to formulate and drive multiple research projects independently;
            • +
            • Exceptional communication and leadership skills;
            • +
            • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
            • +
            +

            What\'s in it for you?

            +
              +
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • +
            • Ability to make a difference and lasting impact from a local-to-global scale
            • +
            +

            About Borealis AI

            +

            Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            +

            Inclusion and Equal Opportunity Employment

            +

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            +

            +
            ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-03-24T18:41:49.412Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/197908551-research-director-at-borealis-ai,,expired,2023-02-19T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +70e14157-9c42-47da-93a2-8dac90e43b7f,198034047,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-02-20T17:24:06.837Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            +

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            +

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +
            +

            +

            Job Description

            +
            +

            About this Role

            +

            For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

            +

            We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

            +

            As a Data Scientist III, these are the essential qualifications of this role:

            +
              +
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
            • +
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • +
            • Design and deliver enterprise analytic solutions for customers
            • +
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • +
            • Build complex statistical models that learn from and scale to petabytes of data.
            • +
            • Analytical thought leadership and stay current on developments in data mining and the application of data science
            • +
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • +
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • +
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • +
            +
            +

            +

            Requirements

            +
            +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +
              +
            • Undergraduate degree or technical certificate
            • +
            • Ten (10) or more years of relevant experience
            • +
            • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
            • +
            • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
            • +
            +
            +

            +

            Additional Information

            +
            +#LI-Hybrid #datascientist
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:45:13.089Z,False,0,4,30,https://talenthub.vectorinstitute.ai/jobs/198034047-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ae2808dd-c325-4328-a898-6e0de27bd08a,198985839,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-02-23T17:14:01.808Z,"
            +

            Referred applicants should not apply directly to this role.

            +

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            +

            +

            +

            Location:

            500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

            +

            +

            When you hire great people, great things can happen.

            +

            PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

            +

            +

            Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

            +

            +

            Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

            +

            +

            The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

            +

            +

            You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

            +
              +
            • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
            • +
            • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
            • +
            • Perform data profiling and source to target mapping analysis for the best design
            • +
            • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
            • +
            +

            What you’ll do:

            +
              +
            • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
            • +
            • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
            • +
            • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
            • +
            • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
            • +
            • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
            • +
            • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
            • +
            +

            Who you are:

            +
              +
            • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
            • +
            • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
            • +
            • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
            • +
            • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
            • +
            • Professional experience working in an agile environment
            • +
            • Strong analytical and problem-solving ability
            • +
            • Strong written and verbal communication skills
            • +
            • Experience in operating and maintaining production-grade software
            • +
            • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
            • +
            +

            Preferred Skills:

            +
              +
            • Knowledge of software and data engineering best practices
            • +
            • Experience with large scale distributed data technologies and tools
            • +
            • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
            • +
            • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
            • +
            • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
            • +
            • Understands how to translate business requirements to technical architectures and designs
            • +
            • Comfortable communicating with various stakeholders (technical and non-technical)
            • +
            +

            +

            Nice to have Skills (though not required):

            +
              +
            • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
            • +
            • Contributions to open-source software (code, docs, or mailing list posts)
            • +
            • GCP Professional Data Engineer Certification
            • +
            • Confluent Certified Developer for Kafka
            • +
            +

            +

            COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

            +

            +

            In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

            +

            +

            +

            Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

            +

            +

            +

            Number of Openings:

            0

            +

            +

            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

            +

            +

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            +

            +

            +

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            +
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-03-26T16:52:04.654Z,False,0,14,47,https://talenthub.vectorinstitute.ai/jobs/198985839-data-engineer-at-loblaw-companies-ltd,,expired,2023-02-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +ee6aa512-6ea3-423f-b8ab-39ca6030d4e5,204323266,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-03-13T17:24:02.933Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            +

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            +

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +
            +

            +

            Job Description

            +
            +

            About this Role

            +

            For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

            +

            We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

            +

            As a Data Scientist III, these are the essential qualifications of this role:

            +
              +
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
            • +
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • +
            • Design and deliver enterprise analytic solutions for customers
            • +
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • +
            • Build complex statistical models that learn from and scale to petabytes of data.
            • +
            • Analytical thought leadership and stay current on developments in data mining and the application of data science
            • +
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • +
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • +
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • +
            +
            +

            +

            Requirements

            +
            +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +
              +
            • Undergraduate degree or technical certificate
            • +
            • Ten (10) or more years of relevant experience
            • +
            • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
            • +
            • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
            • +
            +
            +

            +

            Additional Information

            +
            +#LI-Hybrid #datascientist
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-27T21:44:00.000Z,False,0,5,42,https://talenthub.vectorinstitute.ai/jobs/204323266-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +06d76b08-e3c0-4b11-9c15-bed5b554a3c9,205321260,Sun Life Financial,Senior Data Scientist (Health),on_site,"Ontario, Canada",2023-03-16T17:41:03.177Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            +

            +

            Job Description:

            +

            +

            Role Summary

            +

            +

            To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

            +

            +

            The DSA team is responsible for:

            +
              +
            • Being the analytics translators to identify and deliver high-impact data science use cases

            • +
            • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

            • +
            • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

            • +
            • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

            • +
            +

            +

            The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

            +

            +

            What Will You Do?

            +
              +
            • +

              Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

              +
                +
              • Work closely with health product and strategy team to define use case and scope

              • +
              • Identify appropriate data sources relevant to the modeling application

              • +
              • Create data pipeline for extracting the data into AWS S3

              • +
              • Perform data preprocessing to ensure data quality

              • +
              • Apply feature engineering principles to create feature space

              • +
              • Create labels if known and appropriate to the problem at hand

              • +
              • Apply machine learning models to identify model with best performance

              • +
              • Perform cross validation and hyper parameter tuning to optimize model performance

              • +
              • Prepare model for deployment

              • +
              • Monitor deployed model for data and model drift

              • +
              +
            • +
            • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

            • +
            • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

            • +
            • Develop and present reporting solutions to key stakeholders and partners

            • +
            • Learn about business processes to analyze, interpret, and advise managers on analytical findings

            • +
            • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

            • +
            • Understand and incorporate technology best practices with a primary focus on Tableau and Python

            • +
            • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

            • +
            +

            +

            What Do You Need To Succeed?

            +
              +
            • Coding experience preferably in Python (minimum 3 years)

            • +
            • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

            • +
            • Experience in healthcare and familiarity with health data (1 year)

            • +
            • Familiar with data science project life cycle

            • +
            • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

            • +
            • Strong problem solving and analytical skills

            • +
            • Demonstrated ability to produce meaningful results from data

            • +
            • Proven experience consolidating and analyzing data sources

            • +
            • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

            • +
            • Comfortable learning new applications quickly with minimal direction

            • +
            • Proven ability to work collaboratively within a cross functional team environment

            • +
            • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

            • +
            • Attention to detail and in-depth planning, organizational and time management skills

            • +
            • Experience working with relational databases and creating data models with efficient design

            • +
            • Experience with AWS SageMaker would be an asset.

            • +
            +

            +

            Unique Requirements

            +
              +
            • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

            • +
            • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

            • +
            +

            +

            What\'s In It For You?

            +
              +
            • Competitive salary and bonus structure influenced by market range data

            • +
            • 20 days vacation per year and an innovative sabbatical program

            • +
            • Great Place to Work® Certified in Canada and the US - 2022

            • +
            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

            • +
            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

            • +
            • A friendly, collaborative and inclusive culture

            • +
            • Being part of our Analytics community, where we share best practices and broaden skill-sets

            • +
            • Flexible Benefits from the day you join to meet the needs of you and your family

            • +
            • Pension, stock and savings programs to help build and enhance your future financial security

            • +
            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

            • +
            +

            +

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            +

            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            +

            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            +

            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            74,100/74 100 - 120,800/120 800

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            28/03/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00075947?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-30T17:46:02.559Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/205321260-senior-data-scientist-health-at-sun-life-financial,,expired,2023-03-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d19c0821-273a-413d-9985-42f662975762,207764695,TD Bank Group,"Senior Analyst, Campaign Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:02.795Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +Department Overview
            The Marketing Delivery team is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.
            The Marketing Delivery team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.
            The Marketing Delivery team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.
            +

            +

            Job Description

            +

            The successful candidate will be responsible for Campaign Analytics within the broader Marketing Analytics group. If you are driven by understanding data and how we can help our LOB reach the best customers and continuing to challenge the “status quo” to make our campaigns and processes better, then this is the role for you.
            Success in this role will be achieved by:
            1. Translating key business objectives into insight rich experiments that drive marketing ROI
            2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
            3. Designing campaign results can be actioned by providing high value campaign reporting
            4. Work in a consultative role to provide “value-added” insights in the form of analysis, interpretation and advice of campaign reporting
            5. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.
            Responsibilities
            · Design/execute/measure high impact direct to consumer marketing experiments
            · Continuously improve campaign design and delivery by leveraging any and all analytical tools/techniques at your disposal
            · Execute with excellence
            · Manage your project pipeline to ensure agreed upon timelines can be met
            · Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
            · Maintain a culture of risk management and control, supported by effective processes and sound infrastructure

            +

            +

            Requirements

            +
            +

            Required Skillset
            · Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
            · Good knowledge of everyday banking products and transactions; Mutual Funds, Investment Products, Savings, GICs and registered banking products
            · Technical and detail oriented
            · Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as Unica, SAS, SQL and/or Python/Pyspark
            · A project management mindset to help deliver on time to specifications
            · Team player while able to work independently
            · Pragmatic decision maker blending a mix of intellect, experience and street smarts
            · A profit driven mindset

            +

            Job Requirements
            · 1-2+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
            · Significant experience with IBM Campaign (Unica)
            · Knowledge of SQL, Python/PySpark; knowledge of databases and data structures; knowledge of vendors and file format requirements
            · Experience designing and executing successful direct marketing experiments, including channel, A/B, Creative/Copy test etc…
            · Familiarity with concepts such as “next best offer” and “always-on” an asset
            · Degree in business, science, statistics, engineering, or other quantitative discipline
            · Track record of delivering successful initiatives on time and on budget

            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-30T17:29:05.011Z,False,0,6,19,https://talenthub.vectorinstitute.ai/jobs/207764695-senior-analyst-campaign-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +290deacd-abb6-4fed-8f19-e027539fae4c,209218760,RBC,"Associate Director, Risk and Investment Analytics Product Owner",on_site,"Toronto, ON, Canada",2023-03-27T17:16:03.931Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Associate Director, Risk and Investment Analytics Product Owner

            +

            +

            Job Description

            +

            What is the opportunity?

            +

            In this role, your primary responsibility will be around our Risk and Investment Analytics (R&IA) services which include Performance Reporting and Compliance monitoring services within Investor Services (“IS”). You will support the overall product strategy, direction and profitability for R&IA within RBC Investor Services, in alignment with the organization’s strategic objectives. In addition, you will support designing and developing product features to support client retention, target client acquisition, enhance client experience, help improve operational efficiency and deliver on commitments made to clients, including drive and oversee execution of approved product change/development, as well as support the Product Standards & the operating framework for R&IA.

            +

            +

            What will you do?

            +
              +
            • Proactively involved in the assessment of available market intelligence and stakeholder feedback (clients and functions) on strategy and evolution of the Risk and Investment Analytics service, including target market, features, and product/service experience
            • +
            • Support development and maintenance of the R&IA product with a focus on delivering NIAT growth through enhancing and digitizing the product offering, generating client value and driving operational efficiency
            • +
            • Deliver a clear product roadmap in-collaboration with the Product team, Client Experience, Client Operations and Client Coverage
            • +
            • Work with the analyst team to conduct analysis on the development of product-related change and ensure change remains aligned to existing regulation and/or internal RBC policies
            • +
            • Support the design of the R&IA operating model(s), product standards and technical stack/architecture, with an objective to simplify and drive efficiency
            • +
            • Support client retention, win and/or upsell in collaboration with the business development team;
            • +
            • Work with the analyst team to gain an in-depth understanding of the P&L for the Risk and Investment Analytics services and embed financials in driving client, product, execution and functional change on product profitability
            • +
            • Develop an in-depth understanding of the upstream services such as Custody, Fund accounting and Private Capital Services how the data from these services impacts into Risk and Investment analytics
            • +
            • Responsible for collaborating with product team to improve upstream data that R&IA is reliant to improve efficiency and enhance the product offering
            • +
            • Gather sustainable, ongoing information in relation to client satisfaction with current RBC I&TS product suite and expectations for future product delivery
            • +
            • Responsible for ensuring appropriate governance, compliance with policies/frameworks and oversight of issues, risks, audit and compliance items
            • +
            • Present to RBC and IS senior management as requested by Product Heads and lead delivery of one-off initiatives as required by the Digital Client Experience and Product segment
            • +
            +

            +

            +

            What do you need to succeed?

            +

            Must-have

            +
              +
            • BA or BSc in business, or other relevant degree
            • +
            • Over 5 years’ experience in the asset servicing industry, with a specific focus in Performance reporting and Compliance monitoring services
            • +
            • Sound technical knowledge of the financial services and asset management industry
            • +
            • Experience in developing efficient strategies and business plans for Investment Performance and Compliance monitoring services
            • +
            • Strong technical knowledge and technical translation skills
            • +
            • Comfort in using sophisticated business information and analytic tools
            • +
            • Ability to understand both finance and business realities to challenge decisions Highly organized, self-motivated and entrepreneurial with drive to deliver products in-support of client experience and profitability objectives
            • +
            • Strong relationship management, communications and partnership development capabilities and skills
            • +
            • Ability to consume and distill significant amount of information and data and be able to present it in a simple manner to support decision making (so effectively strong communication skills north written and spoken)
            • +
            • Comfortable with ambiguity, a self-starter, someone who can also create their own day and results oriented
            • +
            • Excellent client service skills
            • +
            • Ability to manage small to medium sized teams
            • +
            +

            +

            Nice-to-have

            +
              +
            • MBA, MMA, CFA or post-graduate in business or finance
            • +
            • Professional qualifications from a recognized industry body
            • +
            • Fluency in French
            • +
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • Excellent opportunity to make a meaningful impact on the RBC Investor 7 Treasury service business and gain knowledge and experience from a strong and diverse team
            • +
            • Opportunity to collaborate with other business segments within the bank
            • +
            • Excellent career development and progression opportunities
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits
            • +
            • Competitive compensation
            • +
            +

            +

            +

            Job Summary

            +

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Wealth Management

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-02-23

            Application Deadline:

            2023-03-29
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000049287/Associate-Director-Risk-and-Investment-Analytics-Product-Owner,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-30T17:21:02.273Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/209218760-associate-director-risk-and-investment-analytics-product-owner-at-rbc,,expired,2023-03-27T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 274604ad-b504-4148-94d8-7cbda891585e,188134380,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-01-18T17:27:02.288Z,"

            What\'s the opportunity?

            @@ -106067,6 +106854,280 @@ ce55d3cb-59b9-4446-b7f9-8886142e8c98,343277149,Google,"Field Solutions Developer

            Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,15,67,https://talenthub.vectorinstitute.ai/jobs/345788011-wealth-management-data-analytics-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,expired,2024-10-10T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +3cab2b5f-508b-4916-b21d-0f873923108f,342896232,KPMG,Senior Consultant/ Manager - Data Engineer,on_site,"Toronto, Canada Calgary, Canada Vancouver, Canada",2024-09-20T16:34:02.908Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

            Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

            The KPMG Microsoft practice is currently one of our fastest growing practices and we are seeing tremendous client demand across various sectors.

            Our mission is to enable clients to harness the full potential of Microsoft Fabric, unlocking the power of their data and driving business transformation through AI-driven solutions. As a member of our team, you'll have the chance to work with cutting-edge technology, tackle complex data challenges, develop your skills, and contribute to business growth and innovation in a dynamic and diverse work environment.


            What you will do


            What you bring to the role

            KPMG BC Region Pay Range Information

            The expected base salary range for this position is $85,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            Adjustments and accommodations throughout the recruitment process

            At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

            To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

            For information about accessible employment at KPMG, please visit our accessibility page.

            ",,https://careers.kpmg.ca/professionals/jobs/24633?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-23T17:01:14.888Z,False,0,3,32,https://talenthub.vectorinstitute.ai/jobs/342896232-senior-consultant-manager-data-engineer-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24633?lang=en-us,expired,2024-09-20T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +5e666208-5bc0-4c5c-ac74-ff2e8cf97f1e,344787009,RBC,AI/ML Data Engineer,on_site,"Toronto, ON, Canada",2024-10-03T08:20:04.810Z,"
            +

            Job Summary

            +

            +

            +

            Job Description

            +

            What is the opportunity?

            +

            As a Data Engineer :

            +
              +
            • Creating software for retrieving, parsing and processing structured and unstructured data.
            • +
            • Defining and building scalable ETL/ELT workflows for reporting and analytics.
            • +
            • Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
            • +
            • Developing scripts and programs for converting various types of data into usable formats.
            • +
            +

            +

            What will you do?

            +
              +
            • Develop, test, and deploy software to generate data assets (relational, graph, other) for use by downstream insight analysts and data scientists
            • +
            • +Work with big data, graph, and cloud technologies such as Spark, Hadoop, Hive, Neo4j, S3, EMR, EC2, Lambda, and Kafka. Work closely with stakeholders to ensure successful data asset design and development
            • +
            • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using complex optimized queries
            • +
            • Use Scala, Cypher, Spark, GitHub, Maven, Jenkins and Airflow to develop and deploy automated data-producing software packages
            • +
            • Create software artifacts and patterns for reuse within the enterprise
            • +
            • Ensure ETL pipelines are produced with the highest quality standards, metadata and validated for completeness and accuracy
            • +
            • Work on a cross-functional Agile team responsible for end-to-end delivery of business needs
            • +
            • Help develop new solutions for batch and real-time data and analytics use cases. Help improve data management processes - acquiring, transforming and storing massive volumes of structured and unstructured data
            • +
            • Work closely with development teams to learn about needs, current processes and to promote best practices.
            • +
            +

            +

            What do you need to succeed?

            +

            Must-have

            +
              +
            • Bachelors in Computer Science or Software Engineering
            • +
            • Min 3 years of experience with Python, Spark, Hadoop, Java, Linux, and SQL
            • +
            • Experience in the big data ecosystem, with Hadoop (Pig, Hive, HDFS), Apache Spark, and NoSQL/SQL databases
            • +
            • Experience using Git or Maven while collaborating on a software development team
            • +
            • +Experience using ETL big data pipelines, knowledge of CI workflows and build/test automation
            • +
            +

            +

            Nice-to-have

            +
              +
            • Experience with other analytics programming languages (R)
            • +
            • Experience with other data analytics and visualization tools such as Tableau
            • +
            • Experience with Agile software development
            • +
            • Experience with DevOps concerns, including CI/CD
            • +
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • A world-class training program in financial services
            • +
            • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients
            • +
            • Access to a variety of job opportunities across business and geographies.
            • +
            +

            +

            #LI-Post

            +

            #LI-Hybrid

            +

            #LI-PK

            +

            #TECHPJ

            +

            +

            +

            Job Skills

            Agile Methodology, Agile Methodology, Apache Hadoop, Apache Spark, Big Data, Big Data Management, Cloud Computing, Cloud Computing Architecture, Data Analytics, Data Architecture, Database Development, Database Queries, Data Governance, Data Mining, Data Pipelines, Data Warehousing (DW), Design, DevOps, End-to-End Testing, ETL Pipelines, ETL Processing, Git, Group Problem Solving, Python (Programming Language), Quality Management {+ 2 more}

            +

            +

            +

            Additional Job Details

            +

            Address:

            BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

            City:

            TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            STRATEGY AND ADMINISTRATION

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2024-10-02

            Application Deadline:

            2024-10-31

            +

            +

            +

            +

            +
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            +

            +

            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000100275/AI-ML-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-24T08:25:03.380Z,False,0,12,66,https://talenthub.vectorinstitute.ai/jobs/344787009-ai-ml-data-engineer-at-rbc,,expired,2024-10-03T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e79f7e39-f3ff-4923-964a-fe3e5fd6522e,346634211,Accenture,Data &AI Senior Manager,on_site,"Toronto, ON, Canada",2024-10-17T08:44:02.357Z,"
            +

            Job Description

            +
            +

            We Are:

            +

            Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us : Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

            +

            +

            You Are:

            +

            A thought leader and an expert in the field of Data &Analytics, who can connect and advise senior clients leveraging your storytelling skills and strong data driven mindset. As a Data & AI leader, you will coach our up-and-coming leaders and help develop their careers, in addition to guiding our diverse multi-disciplinary workforces, on a day-to-day basis on solving our client’s data challenges.

            +

            As a Data &AI Senior Manager, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas through business insight to usher in data driven reinvention and make data governance a part of their organisation culture.  You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape, in keeping with client industry and global economic, technology and social trends.

            +

            +

            What you’ll be doing:

            +

            +
            • Oversee and mentor a team of data consultants, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions.
            +
            • Design and implement robust, scalable, and secure data architectures on cloud platforms like AWS, Azure, or Google Cloud. Drive the adoption of best practices in data management, including ETL/ELT processes, data warehousing, and data modeling.
            +
            • Leading diverse delivery, teams working with clients on a day-to-day basis
            +
            • Collaborate with senior leadership and stakeholders to define and execute the client organisations’ data strategy, aligning data initiatives with overall business objectives.
            +
            • Lead the development of data products and solutions that provide actionable insights and drive business growth.
            +
            • Implement and enforce data governance frameworks, ensuring data accuracy, consistency and accessibility. Champion data quality initiatives and ensure compliance with relevant regulations and standards.
            +
            • Continuously evaluate and optimize the performance of data infrastructure, identifying opportunities for cost reduction, efficiency improvements, and innovation. Lead efforts to modernize legacy systems and integrate new technologies.
            +
            • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture’s highest quality standards.
            +
            • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.
            show more show less
            +
            +
            +

            Qualifications

            +
            +
            +

            Here’s what you need:

            +
            • A bachelor’s degree in computer science, Information Systems, or a related field.
            • A minimum of 8-10 years of experience in data solutions, with at least 3-5 years in a leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.
            • +
            +
            • Deep understanding of data architecture, ETL/ELT processes, data warehousing, and data modeling. Proficiency in programming languages such as Python, SQL, and Scala, as well as experience with big data technologies like Hadoop, Spark, and Kafka.
            • +
            +
            • Hands-on experience with cloud-based data services and tools, including data lakes, data pipelines, and real-time data processing.
            • +
            +
            • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.
            • +
            +
            • Ability to translate business objectives into a clear data strategy. Experience in driving data initiatives that align with organizational goals and deliver measurable business value.
            • +
            +
            • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.
            • +
            +
            • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.
            • +
            +
            • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.
            • +
            +
            • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field.
            • +
            +
            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
            • +
            +

            +

            Bonus points if:

            +
            • Previous experience within the consulting industry.
            • +
            +
            • Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
            • +
            +
            • Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g. Informatica IDMC/ IICS), MySQL/NoSQL, CQRS Event Sourcing
            • +
            +
            • A master’s or Ph.D. in Data Science, Computer Science, or a related field, with a focus on big data or cloud computing.
            • +
            +
            • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements.
            • +
            +
            • Relevant certifications in solution architecture or data governance
            • +
            +

            +

            +

            #LI-NA

            +

            +

            Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

            +

            Information on benefits is here.

            +

            Role Location Annual Salary Range

            +

            British Columbia $117,200 to $272,600

            +

            +
            +

            Locations

            +
            Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
            +
            +
            +

            +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

            +
            +

            Our Commitment to Inclusion & Diversity

            +

            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

            +

            Requesting An Accommodation

            +

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            +

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

            +

            Other Employment Statements

            +

            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

            +

            Job candidates are not required to disclose any offence for which a pardon has been granted.

            +
            +
            +
            Apply Now
            + Register for Job Alerts
            Share
            +
            Share
            +
            Job Link:
            Copy
            +
            +
            +
            +
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236464_en&title=Data%20%26AI%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-24T08:49:02.213Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/346634211-data-ai-senior-manager-at-accenture,,expired,2024-10-17T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +8ad2a9f0-f25b-44a4-9b72-7adc43d89ac9,344795619,CIBC,Sr. Consultant Analytics Engineer,on_site,"Ontario, Canada",2024-10-03T10:04:02.854Z,"
            +

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            +

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            +

            +

            To learn more about CIBC, please visit CIBC.com

            +

            +

            +

            What You’ll Be Doing

            +

            +

            Enterprise Data & Analytics Enablement team employ tailored approach to support each LoB strategy and transform and accelerate the BI/Analytics (BIA) experience within CIBC. We are here to enable our business partners to seamlessly adopt data analytics tools, AI capabilities to make data-driven decisions in an efficient and secured manner.

            +

            As a Senior Analytics Engineer you will design and carry out the development of BI/AI solutions and services leveraging a wide variety of BI/AI tools. The incumbent will be responsible for data integration from multiple data sources, analyzing business needs and requirements, providing an informed opinion or recommendation on opportunities to optimize business intelligence for the benefit of our business partners, employees, and shareholders.

            +

            +

            At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

            +

            +

            How you’ll Succeed

            +
              +
            • Support Analytics/AI Enablement StrategyLead and partner with Spoke Analytics teams, Enterprise Data Technology, Enterprise Architecture, Information Security and other business groups with a focus of fostering Data Analytics / AI research and innovation culture. Provide guidance, subject matter expertise and specialized recommendations to business partners in the area of effective consumption of CIBC\'s data, Analytics and AI tools - techniques to explore/analyze data, visualization design and build, solution optimization, modeling.

            • +
            • Support Data and Analytics initiatives - Design and build end to end Analytics and AI solutions that includes data modeling, orchestration and pipeline services, data visualization, and ML models utilizing various tools and cloud technology (Power BI, Databricks, Tableau, Alteryx, T-SQL, Azure and GCP). Consulting and upskilling the wider data teams and stakeholders on the tools within the semantic layer to promote self-service.

            • +
            • Support Data and Analytics continuous improvement - Identify opportunities to automate, streamline processes that will bring in efficiency in data reporting and analytical environments, lessen manual intervention and increase end user efficiency. Represent Enterprise Data and Analytics Hub and consult on a wide range of enterprise initiatives related to Analytics and AI, ensuring recommendations are effective and efficient over the long term and meet the business objectives.

            • +
            • Leadership- Provide leadership in designing data enablement rollout strategy by liaising with various lines of businesses, analytical groups, user base, technology, change management. Lead and partner with cross functional groups fostering BI/ Analytics research and innovation culture.

            • +
            • Focus on Innovation and Simplification - Strive for continual enhancement of enablement processes and contribute to platform and governance process simplification.

            • +
            • Relationship Management- Focus on building strong relationships with internal and external clients. Work collaboratively with teams across the bank to understand their data and analytical needs. Work with the teams to identify their data and analytical needs and provide appropriate support and recommendations.

            • +
            +

            +

            Who You Are

            +
              +
            • You can demonstrate Practical knowledge and hands on experience in the area of Analytics Engineering, AI, Big Data, Cloud environment (Azure, GCP).

            • +
            • You Have 5+ years of hands-on experience with Databricks, Tableau, Alteryx, Power BI, T-SQL. Having exposure to Python, Vertex AI an asset.

            • +
            • You Are a master storyteller – you possess presentation, interactive/analytical skills sufficient to convey both factual and conceptual information utilizing methodologies as Rapid BI, Design Thinking and Storytelling. Business analysis and consulting skills to precisely articulate & understand business challenges and goals that involve interpretation, analysis, assessment and implementation.

            • +
            • You’re driven to succeed. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

            • +
            • You give meaning to data. You enjoy investigating complex problems and making sense of information. Understanding internal banking processes and how they translate into data outputs.

            • +
            +
              +
            • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends, leverage data and analytics to build competitive advantage to enhance our client focus and become an analytics leader, focusing on continuous advancement.

            • +
            • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

            • +
            • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

            • +
            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

            • +
            +

            +

            +

            +

            What CIBC Offers

            +

            +

            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            +
              +
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

            • +
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

            • +
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

            • +
            +

            +

            *Subject to plan and program terms and conditions

            +

            +

            What you need to know

            +
              +
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • +
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • +
            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

            • +
            +

            +

            +

            +

            +

            +

            Job Location

            Toronto-81 Bay, 22nd Floor

            +

            Employment Type

            Regular

            +

            Weekly Hours

            37.5

            +

            Skills

            Business Effectiveness, Communication, Data Mining, Data Reporting, Decision Making, Machine Learning, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant-Analytics-Engineer_2420661?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-24T10:14:02.145Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/344795619-sr-consultant-analytics-engineer-at-cibc,,expired,2024-10-03T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, e0eeba76-12da-47f7-8422-d8540c2d2009,24510860,integrate.ai,Data Scientist,on_site,"Toronto, ON, Canada",2019-11-13T20:56:24.421Z,"

            At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics, and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

            We are looking for a Data Scientist who is excited to play an integral part of a client facing team, who excels at uncovering concise business insights, and who can both deliver and communicate these insights effectively to external stakeholders. Responsibilities for this role range from data ingestion to collaborating with both internal and external stakeholders to build the platform in a way that best suits our client’s needs. This is a fascinating role that requires both strong interpersonal skills and deep technical knowledge.

            What you will be doing:

            @@ -136607,600 +137668,3 @@ c3ae1223-b384-4991-b3d8-0d2abbd40934,51337763,Sun Life Financial,Senior Business

            Learn more about where a career at KPMG can take you.


            Our Values, The KPMG Way

            ",,https://careers.kpmg.ca/professionals/jobs/7452?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-18T20:55:35.522Z,False,0,5,34,https://talenthub.vectorinstitute.ai/jobs/51341277-manager-senior-manager-information-data-and-analytics-at-kpmg,,expired,2021-02-16T20:55:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -cdbf89a4-1fb0-4530-ba43-e8b491ae45aa,51444526,Vector Institute,Data Development Intern,on_site,"Toronto, ON, Canada",2021-02-17T20:13:49.832Z,"

            POSITION OVERVIEW

            -

            -

            As a Vector Data Development Intern, you will contribute to developing data pipelines needed for applying research in machine learning and AI to pragmatic problems. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers. You will work on a research project for genomics data. You will report to the AI Engineering Director.

            -

            -

            Start date: May 2021 (4- and 8-month terms available)

            -

            -

            KEY RESPONSIBILITIES

            -

            - -

            -

            PROFILE OF THE IDEAL CANDIDATE

            -

            - -

            -

            Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. The application deadline is March 4, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

            -

            -

            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

            -

            -

            The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

            -

            -

            Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=121&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-08T16:13:00.000Z,False,0,28,181,https://talenthub.vectorinstitute.ai/jobs/51444526-data-development-intern-at-vector-institute,,expired,2021-02-17T20:13:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, -2235eab8-d0d3-4778-9683-1b5b7d2d0f74,51902576,CIBC,Senior Manager Analytics & Reporting,on_site,"Toronto, ON, Canada",2021-02-22T19:22:04.141Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            Job Description

            -

            -

            -

            What You’ll Be Doing

            -

            -

            As Senior Manager Analytics & Reporting at CAM (Client Account Management), you will apply your knowledge of Collection & Risk Management and technical analytical & reporting skillsets to further CAM’s purpose of Reducing the Net Credit Losses & improving Customer Experience by enhancing domain business intelligence in CIBC. You’ll collaborate with business stakeholders & lead a team of analysts to develop a centralized reporting framework & solutions, review and enhance CAM KPI (Key Performance Indicators) measurement criteria &, build Business Intelligence capabilities within the unit.

            -

            -

            How You’ll Succeed

            - -

            -

            Who you are

            - -

            -

            What CIBC Offers

            -

            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

            - -

            -

            -

            What You Need to Know

            - -

            -

            -

            Job Location

            -

            Toronto-750 Law Ave. W., E4

            -

            Employment Type

            -

            Regular

            -

            -

            Weekly Hours

            -

            37.5

            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager-Analytics---Reporting_2103635,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-25T13:27:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/51902576-senior-manager-analytics-reporting-at-cibc,,expired,2021-02-22T19:22:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -b5263673-09a6-4546-8058-eb82194acafb,52158767,RBC,"Indigenous Student Internship Program, Summer 2021 Student Opportunities",on_site,"Nation Wide, Ontario, Canada",2021-02-24T21:37:12.311Z,"
            -

            What is the opportunity?

            -

            RBC’s National Indigenous Student Internship Program aims to help students, who self-identify as Indigenous/Aboriginal (First Nations, Inuit, Métis), develop the skills and network needed to build their career in banking. Be a part of an exciting four month experience which gives you exposure to a specific functional area of the bank in Finance, Operations, Advice Centre, Audit, Risk Management, Retail/Commercial Banking, Capital Markets and Technology. Our program is designed to hone in on your skills, explore your strengths, and build the career you want. For more information on our Indigenous initiatives, please refer to https://jobs.rbc.com/ca/en/IndigenousPeoples

            -

            -

            What will you do?

            -

            By joining us for a 4-month long summer position, you will be involved in a variety of challenging assignments, allowing you to become familiar with an area of RBC, while also strengthening the skills and knowledge you need to launch a successful career. Our students benefit from interesting work and networking opportunities, and are encouraged to collaborate on innovations.

            -

            -

            What do you need to succeed?

            -

            -
              -
            • Currently studying Business, Finance, Accounting, Mathematics/Statistics, Computer Sciences, Policy, Arts or a related discipline
            • -
            • Proficient in PowerPoint, Excel, Word and ability to master new computer software
            • -
            • Excellent interpersonal and highly developed communication skills (verbal and written)
            • -
            • Ability to build strong working relationships with key partners
            • -
            • Strong detail orientation and ability to multi-task
            • -
            • Strong problem solving and analytical skills
            • -
            • Data analytics and data visualization tools
            • -
            -

            -

            Nice-to-have

            -
              -
            • Previous experience working in a financial environment
            • -
            • Knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, C++, VBA, Python, R, SAS, SQL, etc.)
            • -
            • Skills will vary dependant on internship
            • -
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. We provide you with opportunities to:

            -

            -
              -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • Do challenging work and make a difference
            • -
            • Connect and network with Indigenous students across Canada as well as our Royal Eagles employee resource groups through various initiatives at RBC
            • -
            • Contribute to Indigenous Inclusion
            • -
            • Receive career coaching and development
            • -
            • Be paired with a mentor to help you learn and grow
            • -
            -

            -

            * Level of participation in the RBC Indigenous space is determined by the interns given consent.

            -

            -

            About RBC
            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries.. For more information, please visit rbc.com.

            -

            -

            Inclusion and Equal Opportunity Employment
            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Indigenous/Aboriginal status/non-status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            -


            JOB SUMMARY

            -

            City: Nation Wide
            Address: Nation Wide
            Work Hours/Week: 37.5
            Work Environment: Office
            Career Level: Student Job
            Position Level: PL11
            Application Deadline: 03/31/2021
            Req ID: 301038

            -

            Ad Code(s):

            -
            ",,https://jobs.rbc.com/ca/en/job/301038/Indigenous-Student-Internship-Program-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-31T15:04:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/52158767-indigenous-student-internship-program-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/301038/Indigenous-Student-Internship-Program-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -cd50b3c0-8d75-47cd-bbf9-13734abe14fd,52290386,Thomson Reuters,Data Architect,on_site,Toronto-Ontario-Canada; Eagan-Minnesota-United States of America,2021-02-25T15:36:18.303Z,"
            -Job Description

            Do you want to help one of the most respected companies in the world reinvent its approach to data? Are you a strategic thinker with a strong background in information architecture? At Thomson Reuters, we are recruiting a team of motivated data professionals to transform how we manage and leverage our commercial data assets. It is a unique opportunity to join a diverse and global team with centers of excellence in Toronto, Minneapolis and Bangalore.

            -

            -

            The Data Architect role will be responsible for the conceptual and logical data architecture for all commercial data types. The data architect will define the data architecture roadmap and support the selection and implementation of data technologies, including tooling and the standards for metadata, data lineage tracking, and data interoperability.

            -

            -

            About the Role

            -

            In this opportunity as the Data Architect, you will:

            -
              -
            • Design and deliver the Enterprise Commercial Data Architecture Model. You will map the data journey from operational system sources through any transformations in transit to its delivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)

            • -
            • Mentor and lead other team members, including task delegation, while ensuring work quality from more junior data professionals.

            • -
            • Be a thought leader by hosting a Data Architecture Forum in partnership with the Data Governance Lead for education, review and approval of data architecture standards, and enterprise-wide data models.

            • -
            • Innovate with new approaches to data modelling that meet and exceed the functional requirements as presented by business stakeholders

            • -
            • Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.

            • -
            • -

              Utilize your experience in the following areas:

              -
                -
              • Relational Databases

              • -
              • ‘Big Data’ platforms & architecture, open-source tools

              • -
              • Standalone and Hybrid Cloud Data and Analytics Architectures

              • -
              • Data Security, Privacy, and Compliance

              • -
              • Data Management, with a focus on data quality

              • -
              • Data processing technologies

              • -
              • Metadata Repositories, Information & Data Catalogs

              • -
              • Data virtualization technologies

              • -
              • Multi-domain Master Data platform capabilities

              • -
              -
            • -
            -

            -

            About You

            -

            You're a fit for the role of Data Architect if you have demonstrated expertise of 10+ years with:

            -
              -
            • Data & Analytics architecture development

            • -
            • Data modelling 3NF & Dimensional, including conceptual, logical and physical

            • -
            • Data modelling tools and documentation standards

            • -
            • Development & maintenance of an Enterprise Data Model

            • -
            • Data Warehousing, including data models and data processing

            • -
            • Unstructured information analysis

            • -
            • Information taxonomy creation

            • -
            • Master and Reference data management

            • -
            -

            -

            Also have experience in and comfort with:

            -
              -
            • Information systems design

            • -
            • Stakeholder management

            • -
            • Global teaming and remote collaboration

            • -
            • Communications, written and oral

            • -
            • Business analysis

            • -
            • Business architecture and capability models

            • -
            -

            -

            Have a Bachelor's Degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.

            -

            -

            What's in it For You

            -

            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

            -
              -
            • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

            • -
            • Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one

            • -
            • Perks: Social events & activities, employee discount programs through corporate perks

            • -
            -

            -

            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            -

            -

            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            -

            Accessibility

            -

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            -

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            -

            -

            More information about Thomson Reuters can be found on thomsonreuters.com.

            -

            Locations
            Toronto-Ontario-Canada;Eagan-Minnesota-United States of America
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/486326/Data-Architect/,feed-importer@jobboard.io,,,,2021-03-08T16:01:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/52290386-data-architect-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/486326/Data-Architect/,expired,2021-02-25T15:36:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -2451ad7d-39dc-4720-a2aa-5274d33a63af,52313835,RBC,"Senior Manager, Partnership Analytics - RBC Ventures",on_site,"Toronto, Ontario, Canada",2021-02-25T21:37:22.143Z,"
            -

            What is the opportunity?

            -

            RBC Ventures is new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

            -

            -

            The Partnership Analytics team combines industry knowledge with big data to solve strategic problems for RBC's external partners. The Senior Manager, Partnership Analytics – RBC Ventures will design & deliver on our vision to create a suite of data products that can solve for external partners business problems in a scalable manner.

            -

            The Senior Manager will be responsible for end-to-end accountability from opportunity identification, strategy development, and execution for external RBC partners; as well as developing data driven recommendations for Senior Executives and client partners to deliver business results.

            -

            -

            What will you do?

            -
              -
            • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights to help our external partners grow their business.
            • -
            • Manage the delivery of consultancy engagement to external partners
            • -
            • Regularly present recommendations & opportunities to senior executives and client partners.
            • -
            • -Provide analytical subject matter expertise to define data driven client strategies including:
                -
              • Provide recommendations on new/re-design of strategies, supported by analytics
              • -
              • Design, develop and maintain predictive and segmentation models, including data acquisition, testing, validation, deployment and refinement of these models
              • -
              • Utilize machine learning and other advanced data tools to solve business problems
              • -
              -
            • -
            • Iterate and measure success of initiatives and engagements
            • -
            -


            What do you need to succeed?
            Must-have

            -
              -
            • 5+ years of experience in Business Analytics
            • -
            • 5+ year of experience in SQL and other data analytics tools
            • -
            • 2+ years of experience in people leadership – with a track record of developing talent investments
            • -
            • University degree in a quantitative field of study (e.g., statistics, economics, business)
            • -
            • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions
            • -
            • Experience in advanced analytics methodologies and tools (Python, R, machine learning, data visualization tools, etc.)
            • -
            • Comprehensive knowledge on building segmentation and predictive models
            • -
            • Excellent communication and presentation skills with the integrity and confidence to liaise with executives and senior management
            • -
            -

            -

            Nice-to-have

            -
            • Experience in loyalty, rewards, consumer insights
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Ability to make a difference and lasting impact
            • -
            • Work in an agile, collaborative, progressive, and high-performing team
            • -
            • The opportunity to interface with senior level executives from many different parts of the organization
            • -
            -

            -

            RBCVentures

            -

            -

            -

            Join our Talent Community
            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



            JOB SUMMARY
            City: Toronto
            Address: 20 Bay Street
            Work Hours/Week: 37.5
            Work Environment: Office
            Employment Type: Permanent
            Career Level: Experienced Hire/Professional
            Pay Type: Salary + Variable Bonus
            Required Travel (%): 0-25
            Exempt/Non-Exempt: N/A
            People Manager: No
            Application Deadline: 03/10/2021
            Platform: Strategy

            Req ID: 326681
            Ad Code(s): RBC Ventures

            -

            -

            -
            ",,https://jobs.rbc.com/ca/en/job/326681/Senior-Manager-Partnership-Analytics-RBC-Ventures,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-11T21:48:21.116Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/52313835-senior-manager-partnership-analytics-rbc-ventures-at-rbc,https://jobs.rbc.com/ca/en/job/326681/Senior-Manager-Partnership-Analytics-RBC-Ventures,expired,2021-02-25T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -a2a6cfc4-dcf7-40fd-9123-47d4c314d664,52746881,Ada,Site Reliability Engineer,on_site,"Toronto, ON, Canada",2021-03-01T14:51:01.270Z,"

            We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.

            You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.
            We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.
            As a Site Reliability Engineer you will have an immense impact on Ada as we continue to grow our company and our technology. You will be integral in building a scalable, efficient, and robust foundation for all of Ada’s products and services. Your work will change the lives of millions of end users.

            -

            -

            - -

            Outcomes

            - -

            #LI-RD1
            About Us
            Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

            ",,https://jobs.lever.co/ada/127b7047-a01d-43d1-826d-6ab26a5c67b2,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-22T16:51:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/52746881-site-reliability-engineer-at-ada,,expired,2021-03-01T14:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,Re-Posting an Expired Job, -d2702453-b3a7-4837-a6dc-e946722e5f7f,53110434,Lakehead University,Tenure Track Faculty Positions,on_site,"Thunder Bay, ON, Canada",2021-03-03T20:18:11.041Z,"

            Lakehead University, Thunder Bay Campus, invites applications for two tenure-track positions and one 3-year limited-term appointment in the Department of Computer Science. The positions will commence on May 1,2021, at a rank commensurate with experience and qualifications.

            -

            Tenure-Track (2 positions): Applications are invited from outstanding candidates in Computer Science with a strong research focus in the broad category with preferences in the following areas: Cryptography, Computer Security and Privacy, Computing Systems, Human-Computer Interaction, Natural Language Processing, and Theoretical Computer Science. Applications with exceptional research in other areas that complement the expertise of the department may also be considered.

            -

            Limited Term Appointment (1 position): Applicants will be expected to teach a range of courses at the undergraduate and graduate levels, such as Data Structures, Theory of Computing, Operating Systems, Computer Architecture, and other Computer Science core courses as well as may supervise MSc projects/Theses. Strong research or the potential to conduct high-impact research is also essential for this position.

            -

            The successful candidates are expected to initiate an externally funded research program and contribute to the supervision of graduate students in our MSc. Program. Additionally, the candidates are expected to actively participate and support the department activities. Applicants should hold a Ph.D. in Computer Science or a related discipline. Prior teaching, post-doctoral, or industry experience will be considered as an asset. Experience with experiential learning and online or alternative modes of course delivery is highly desired.

            -

            The Department of Computer Science is a fast-growing department with a total of 14 full-time faculty members including one research chair. Our faculty members are involved in various externally funded research programs.

            -

            Lakehead is a comprehensive university with a reputation for innovative programs and cutting-edge research. With campuses located in Thunder Bay and Orillia, Lakehead has approximately 10,000 students and 2,160 faculty and staff. With an emphasis on collaborative learning and independent critical thinking and a multidisciplinary teaching approach, Lakehead offers a variety of degree and diploma programs at the undergraduate, graduate, and doctoral levels through its ten faculties, including Business Administration, Education, Engineering, Health and Behavioural Sciences, Natural Resources Management, Science and Environmental Studies, Social Sciences and Humanities, Graduate Studies, the Northern Ontario School of Medicine (West Campus) and Ontario’s newest Faculty of Law. For further information, please visit: www.lakeheadu.ca.

            -

            For further information, please contact Dr. V. Mago, Chair, Department of Computer Science (e-mail: vmago@lakeheadu.ca). Detailed information on our undergraduate and graduate programs is available on our homepage: https://www.lakeheadu.ca/academics/departments/computer-science

            -

            Review of applications will begin immediately and will continue until the positions are filled. Applications received by March 15, 2021, will receive full consideration. The electronic application (in the form of one PDF document) should include a letter of interest (explicitly mention the position: Tenure-Track or LTA or Both), curriculum vitae, evidence of teaching effectiveness (including a statement of teaching, course outlines, and teaching evaluations for previously-taught courses), a statement of a research plan (current and future interests), copies of the three most significant publications, a completed eligibility form (see below) and the names and contact information of three references. A completed Confirmation of Eligibility to Work in Canada form must accompany your package. This form is available on our website at https://www.lakeheadu.ca/faculty-and-staff/departments/services/hr/employment-opportunities/

            -

            Applicants should submit their electronic application to:

            -

            Dr. Todd Randall

            -

            Dean Faculty of Science and Environmental Studies

            -

            Lakehead University

            -

            Thunder Bay, Ontario

            -

            e-mail: applications.ses@lakeheadu.ca

            -

            Lakehead University is committed to creating a diverse and inclusive environment and welcomes applications from all qualified individuals including women, racialized persons, Indigenous people, persons with disabilities, and other equity-seeking groups. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. This is in accordance with Canadian immigration requirements.

            -

            We appreciate your interest; however, only those selected for an interview will be notified. Lakehead University is committed to supporting an accessible environment. Applicants requiring accommodation during the interview process should contact the Office of Human Resources at (807) 343.8334 or human.resources@lakeheadu.ca to make appropriate arrangements.

            -

            These positions are subject to final budgetary approval.

            ",,https://www.lakeheadu.ca/faculty-and-staff/departments/services/hr/employment-opportunities/employment-opportunities-db/node/62940,aimasters@vectorinstitute.ai,https://www.lakeheadu.ca/,,,2021-04-02T20:18:00.000Z,False,0,1,60,https://talenthub.vectorinstitute.ai/jobs/53110434-tenure-track-faculty-positions-at-lakehead-university,,expired,2021-03-03T20:18:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Mid-Senior Level,PhD,New Posting, -8f11674d-0bca-40bf-a4fa-65a07808b8a6,26341031,Google,"Software Developer Intern, PhD, Summer 2020",on_site,"Waterloo, ON, Canada",2019-12-09T22:15:02.619Z,"

            -

            -

            Minimum qualifications:

            - -

            Preferred qualifications:

            - -

            About the job

            -

            This internship is intended for students currently enrolled in an accredited degree program in Computer Science who will be returning to school after the completion of the internship to continue working towards degree program completion.

            -

            Software Developers at Google are researchers and developers who yearn to create and implement complex computer science solutions. Our developers create massively scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - requiring awareness and comprehension of the latest research in the field. We focus on being a collaborative, global organization consisting of developers with the highest levels of technical depth, programming skills and a keen eye for quality.

            -

            As a Software Developer Intern, you will work on our core products and services as well as those who support critical functions of our engineering operations. You will build competencies in data structures and algorithms, along with a technical fascination for how stuff fits together. You need to have a good foundation in computer science in order to consistently come up with new ideas as well as strive for a deep understanding of our products and services in order to continually improve upon them. Typically our PhD Interns are expected to work in the following area:

            -

            Product and Systems Development
            Whether it's finding new and innovative ways to advance search quality, building computing platform and networking technologies, automating the indexing of videos, or continuing to refine and scale complex auction systems, you will be developing solutions to some of the most challenging technical problems out there. You will research, conceive and develop software applications to extend and improve on Google's product offerings and collaborate on scalability issues involving access to massive amounts of data and information. Examples of specialist domains: UI development with AJAX and similar technologies, security, embedded systems and mobile apps (Android), developer tools (IDEs, large-scale build systems, compilers).

            -

            Engineering Productivity
            As a Software Developer in the Engineering Productivity organization, you'll use your software design, analysis and programming skills to create innovative automated test systems. This isn't a job in which you'll simply debug and run test cases, in fact that only scratches the surface. The test team undertakes a broad range of challenges on a daily basis, designing and building intelligent systems that can explore various use cases and scenarios for distributed computing infrastructure.

            -

            ,

            -

            Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

            -

            Responsibilities

            - -

            At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

            -

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            -


            -

            ",,https://careers.google.com/jobs/results/136912434959917766-software-developer-intern-phd-summer-2020/?src=Online%2FTOPs%2FNA%20Tech%20University%20Email&utm_campaign=phdsdinterncan-emailalias&utm_medium=jobposting&utm_source=email,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2020-02-07T22:15:00.000Z,False,0,10,46,https://talenthub.vectorinstitute.ai/jobs/26341031-software-developer-intern-phd-summer-2020-at-google,,expired,2019-12-09T22:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -05d095a9-3146-4ecb-9ee6-a4ac410977bd,26341033,Google,"Software Developer Intern, MS, Summer 2020 - Expires Dec 16",on_site,"Waterloo, ON, Canada",2019-12-09T22:16:51.038Z,"

            Minimum qualifications:

            - -

            Preferred qualifications:

            - -

            About the job

            -

            Join us for a unique internship that offers personal and professional development, executive speaker series, and community-building. This program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - which requires research, awareness, interactivity, and asking questions.

            -

            As a Software Developer Intern, you will work on our core products and services as well as those who support critical functions of our engineering operations. Depending on your background and experience, you will be working in one of the following areas:

            -

            Product and Systems Development
            Whether it's finding new and innovative ways to advance search quality, building computing platform and networking technologies, automating the indexing of videos, or continuing to refine and scale complex auction systems (just to name a few), you will be developing solutions to some of the most challenging technical problems out there. You will research, conceive and develop software applications to extend and improve on Google's product offerings and collaborate on scalability issues involving access to massive amounts of data and information. Examples of specialist domains: UI development with AJAX and similar technologies, security, embedded systems and mobile apps (Android), developer tools (IDEs, large-scale build systems, compilers).

            -

            -

            Engineering Productivity
            As a Software Developer in the Engineering Productivity organization, you'll use your software design, analysis and programming skills to create innovative automated test systems. The test team undertakes a broad range of challenges on a daily basis, designing and building intelligent systems that can explore various use cases and scenarios for distributed computing infrastructure.

            -

            Site Reliability
            Software Developers working in Site Reliability are involved in every facet of Google's production and work on the cutting edge of cloud-based computing. As a member of this team you are in the thick of everything involved with keeping Google running, from code-level troubleshooting of traffic anomalies to maintenance of our most cutting-edge services; from monitoring and alerts to building new automation infrastructure. Software developers on this team love to create robust and scalable software that scale to tens of millions of users. You will handle challenging, novel situations every day, and work with just about every other engineering and operations team to provide services and applications that are quintessentially Google - fast, reliable and accessible to all.

            -

            Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

            -

            Responsibilities

            - -

            At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

            -

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            ",,https://careers.google.com/jobs/results/84185354849919686-software-developer-intern-ms-summer-2020/,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2019-12-17T21:42:00.000Z,False,0,25,73,https://talenthub.vectorinstitute.ai/jobs/26341033-software-developer-intern-ms-summer-2020-expires-dec-16-at-google,,expired,2019-12-09T22:16:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -fd933d47-acf8-4f7f-8f8f-7ecec8e458ce,26460488,Layer 6,"Machine Learning Intern (PEY, 12-16 Months)",on_site,"Toronto, ON, Canada",2019-12-11T21:21:49.880Z,"

            Layer 6 (layer6.ai) is a leading Canadian machine learning research company, developing advanced machine learning and deep learning systems to solve complex problems with enormous data. Our technical capabilities have been publicly recognized through multiple wins of international data science competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018). Our research in computer vision has resulted in a second place finish in Google’s Landmark Retrieval Challenge, and our NLP research has placed Layer 6 among the top teams in the Stanford Q&A Dataset.

            -

            Layer 6 publishes industry-leading research in recommendation systems, knowledge representation, NLP and vision using advanced machine learning, deep learning and generative frameworks. We deploy ML solutions across a range of sectors with unique access to massive datasets and computing resources. The domains include: TD Bank data on 25mil customers of which 8M are active on the bank’s location-aware mobile app; capital markets data via TD Securities and TD Ameritrade; Ontario population health data on 14.5M people; radiology imaging data that exceeds 100M terabytes.

            -

            Layer 6 AI is located in MaRS at University & College, and is a fully owned subsidiary of TD Bank.

            -

            As a Machine Learning Intern, you will:

            -

            - Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

            -

            - Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.

            -

            - Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.

            -

            - Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.

            -


            -Required Qualifications:

            -

            - Graduate students in CS, ECE, Mathematics, Stats, Physics or related field.

            -

            - Strong background in deep learning and machine learning

            -

            - Research experience with publication record

            -

            - Proven track record of applying machine learning to solve real-world problems

            -

            Preferred Qualifications:

            -

            - Hands on experience in software systems development and SaaS applications
            -- Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
            -- Experience using GPUs for accelerated deep learning training
            -- Familiarity with AWS

            ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-01-25T21:22:00.000Z,False,17,0,128,https://talenthub.vectorinstitute.ai/jobs/26460488-machine-learning-intern-pey-12-16-months-at-layer-6,,expired,2019-12-11T21:21:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Internship/Co-op,Masters Degree,New Posting, -4142b4bb-60e0-4f53-91d2-ad713db5a679,26678218,Telus,Design Specialist ,on_site,"Toronto, ON, Canada",2019-12-16T21:47:29.045Z,"

            Join our team

            The Wireless Service Analytics & Transformation (WSAT) team’s goal is to enable best-in-class wireless experience by developing a customer centric view of service performance and enhancing business insights by leveraging advanced analytics and artificial Intelligence.

            Our team consists of talent across various technology teams including network engineering, data scientists and management consultants to help achieve our goal.

            Together, we will develop customer centric models to predict and prevent service degradations, discover new cost reduction/capital efficiency opportunities and model network experience.

            Here’s the impact you’ll make and what we will accomplish together

            As a skilled wireless engineering data scientist you will combine your experience in engineering and data science to build systems that will improve the wireless network experience for our customers.

            Our team takes pride in the development and deployment of AI/ML based solutions to improve customer experience. We take ownership of each step of the process: use your expertise to explore data sets, develop novel AI techniques to find new insights and finally develop automation pipelines and web-visualizations to deliver your AI/ML based solution.

            As a result of your efforts our team will greatly improve wireless service for our millions of subscribers!

            We are looking for a team member with a:

            -

            - -

            Here’s how

            - -

            -

            Qualifications

            -

            You’re the missing piece of the puzzle

            - -

            Great-to-haves

            - -

            Who is TELUS?

            We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.

            Everyone belongs at TELUS. It doesn’t matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

            Do you share our passion?

            At TELUS, you create future friendly® possibilities.

            At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.

            -

            -

            Primary Location

            -

            : CA-ON-Toronto

            -

            Other Locations

            -

            : CA-AB-Edmonton, CA-AB-Calgary, CA-BC-Vancouver

            -

            -

            Schedule

            -

            : Full-time

            ",,https://telus.taleo.net/careersection/10000/jobdetail.ftl?job=TEC11196-19,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2020-01-30T21:47:00.000Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/26678218-design-specialist-at-telus,,expired,2019-12-16T21:47:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,Re-Posting an Expired Job, -978e1549-b39b-48b7-826d-615a96daa0d7,26678254,Telus,DevOps Engineer - Wireless Core Network Services DevOps,on_site,"Toronto, ON, Canada",2019-12-16T21:48:41.087Z,"

            Make your mark on the leading edge of next generation wireless networks and technologies!

            Join our team

            The national Wireless Core Network Services DevOps team is at the forefront of driving strategy for next generation of networks and technologies such as 5G, IoT, AI and SDN/NFV. Team is responsible for development, delivery and operations of mobility core network services. Team members are often considered innovators as they develop and enhance network designs aimed at improving reliability for core mobility services.

            Here’s the impact you’ll make and what we’ll accomplish together

            Your creativity coupled with strong Software defined networking, machine learning, data analytics and computer networking skills will allow us to find the most efficient ways of building and maintaining our wireless core network to support existing mobility infrastructure and offer new services.

            You will exercise your entrepreneurial spirit and creative vision to change the way TELUS leverages technology. Collectively, the passion we have to transform the Network landscape will remain a leading factor in why customers continue to recognize TELUS as the fastest and most reliable network in Canada.

            Here’s how

            -

            - -

            -

            Qualifications

            -

            You’re the missing piece of the puzzle

            - -

            Great-to-haves

            - -

            Who is TELUS?

            We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.

            Everyone belongs at TELUS. It doesn’t matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

            Do you share our passion?

            At TELUS, you create future friendly® possibilities.

            At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.

            -

            -

            Primary Location

            -

            : CA-ON-Toronto

            -

            Other Locations

            -

            : CA-QC-Montreal, CA-AB-Calgary, CA-BC-Vancouver

            -

            -

            Schedule

            -

            : Full-time

            ",,https://telus.taleo.net/careersection/10000/jobdetail.ftl?job=TEC11322-19,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2020-01-30T21:48:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/26678254-devops-engineer-wireless-core-network-services-devops-at-telus,,expired,2019-12-16T21:48:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -ae688f4b-5b88-4dde-9205-9e1cf0322464,26678292,TD Bank Group,Data Scientist I,on_site,"Toronto, ON, Canada",2019-12-16T21:51:37.068Z,"

            Company Overview

            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -

            -

            Department Overview

            -

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            -

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            -

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            -

            -

            Job Description

            -

            About this Role

            -

            You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

            -

            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Data Scientist I, these are the essential qualifications of this role:

            - -

            -

            Requirements

            -

            What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            - -

            -

            Hours

            -

            37.5

            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/10514212/data-scientist-i-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-01-02T15:40:00.000Z,False,0,11,63,https://talenthub.vectorinstitute.ai/jobs/26678292-data-scientist-i-at-td-bank-group,,expired,2019-12-16T21:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -bbcc7af9-7b2a-435d-8db0-ceefd5ff6d3d,26807017,Deloitte,Omnia AI: Data Engineer - New Graduate 2020,on_site,"Ottawa, ON, Canada",2019-12-18T19:55:17.838Z,"

            Date Posted: Dec 13, 2019

            -

            Reference Code: 48303-en_US

            - -

            If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

            -

            What will your typical day look like?

            -


            A data engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

            -

            In this role, you will:

            - -

            About the team

            -

            -

            -

            -

            -

            -

            -


            -

            -

            -

            -

            -

            -

            -

            As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

            -

            Enough about us, let’s talk about you

            -

            -

            -

            -

            -

            -

            -


            -

            -

            -

            -

            -

            -

            -

            You are someone who is:

            - -

            Why Deloitte?

            -

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            - -


            The next step is yours

            -

            -

            Sound like The One Firm. For You? Apply by January 19, 2020.

            -

            -

            At Deloitte we are all about doing business inclusively – that starts with having a diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            -

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

            ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-01-19T19:55:00.000Z,False,6,0,137,https://talenthub.vectorinstitute.ai/jobs/26807017-omnia-ai-data-engineer-new-graduate-2020-at-deloitte,,expired,2019-12-18T19:55:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, diff --git a/jobExport_chunk1.csv b/jobExport_chunk1.csv index a4c8f72..b51928d 100644 --- a/jobExport_chunk1.csv +++ b/jobExport_chunk1.csv @@ -1,4 +1,601 @@ token,id,company,title,remote,location,created_at,description,apply_email,apply_url,contact_email,company_url,transaction_price,revenue_share,expiration_date,featured,applicants_count,apply_link_click_count,views,url,reference,status,published_at,source_name,company_size,email_applications_or_application_click_through,job_industry,level_of_experience,minimum_degree_level,new_posting_or_repost,Type of Job Opportunity +cdbf89a4-1fb0-4530-ba43-e8b491ae45aa,51444526,Vector Institute,Data Development Intern,on_site,"Toronto, ON, Canada",2021-02-17T20:13:49.832Z,"

            POSITION OVERVIEW

            +

            +

            As a Vector Data Development Intern, you will contribute to developing data pipelines needed for applying research in machine learning and AI to pragmatic problems. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers. You will work on a research project for genomics data. You will report to the AI Engineering Director.

            +

            +

            Start date: May 2021 (4- and 8-month terms available)

            +

            +

            KEY RESPONSIBILITIES

            +

            + +

            +

            PROFILE OF THE IDEAL CANDIDATE

            +

            + +

            +

            Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. The application deadline is March 4, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

            +

            +

            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

            +

            +

            The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

            +

            +

            Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=121&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-08T16:13:00.000Z,False,0,28,181,https://talenthub.vectorinstitute.ai/jobs/51444526-data-development-intern-at-vector-institute,,expired,2021-02-17T20:13:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, +2235eab8-d0d3-4778-9683-1b5b7d2d0f74,51902576,CIBC,Senior Manager Analytics & Reporting,on_site,"Toronto, ON, Canada",2021-02-22T19:22:04.141Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            +

            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

            +

            +

            To learn more about CIBC, please visit CIBC.com

            +

            +

            Job Description

            +

            +

            +

            What You’ll Be Doing

            +

            +

            As Senior Manager Analytics & Reporting at CAM (Client Account Management), you will apply your knowledge of Collection & Risk Management and technical analytical & reporting skillsets to further CAM’s purpose of Reducing the Net Credit Losses & improving Customer Experience by enhancing domain business intelligence in CIBC. You’ll collaborate with business stakeholders & lead a team of analysts to develop a centralized reporting framework & solutions, review and enhance CAM KPI (Key Performance Indicators) measurement criteria &, build Business Intelligence capabilities within the unit.

            +

            +

            How You’ll Succeed

            + +

            +

            Who you are

            + +

            +

            What CIBC Offers

            +

            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

            + +

            +

            +

            What You Need to Know

            + +

            +

            +

            Job Location

            +

            Toronto-750 Law Ave. W., E4

            +

            Employment Type

            +

            Regular

            +

            +

            Weekly Hours

            +

            37.5

            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager-Analytics---Reporting_2103635,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-25T13:27:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/51902576-senior-manager-analytics-reporting-at-cibc,,expired,2021-02-22T19:22:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +b5263673-09a6-4546-8058-eb82194acafb,52158767,RBC,"Indigenous Student Internship Program, Summer 2021 Student Opportunities",on_site,"Nation Wide, Ontario, Canada",2021-02-24T21:37:12.311Z,"
            +

            What is the opportunity?

            +

            RBC’s National Indigenous Student Internship Program aims to help students, who self-identify as Indigenous/Aboriginal (First Nations, Inuit, Métis), develop the skills and network needed to build their career in banking. Be a part of an exciting four month experience which gives you exposure to a specific functional area of the bank in Finance, Operations, Advice Centre, Audit, Risk Management, Retail/Commercial Banking, Capital Markets and Technology. Our program is designed to hone in on your skills, explore your strengths, and build the career you want. For more information on our Indigenous initiatives, please refer to https://jobs.rbc.com/ca/en/IndigenousPeoples

            +

            +

            What will you do?

            +

            By joining us for a 4-month long summer position, you will be involved in a variety of challenging assignments, allowing you to become familiar with an area of RBC, while also strengthening the skills and knowledge you need to launch a successful career. Our students benefit from interesting work and networking opportunities, and are encouraged to collaborate on innovations.

            +

            +

            What do you need to succeed?

            +

            +
              +
            • Currently studying Business, Finance, Accounting, Mathematics/Statistics, Computer Sciences, Policy, Arts or a related discipline
            • +
            • Proficient in PowerPoint, Excel, Word and ability to master new computer software
            • +
            • Excellent interpersonal and highly developed communication skills (verbal and written)
            • +
            • Ability to build strong working relationships with key partners
            • +
            • Strong detail orientation and ability to multi-task
            • +
            • Strong problem solving and analytical skills
            • +
            • Data analytics and data visualization tools
            • +
            +

            +

            Nice-to-have

            +
              +
            • Previous experience working in a financial environment
            • +
            • Knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, C++, VBA, Python, R, SAS, SQL, etc.)
            • +
            • Skills will vary dependant on internship
            • +
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. We provide you with opportunities to:

            +

            +
              +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Do challenging work and make a difference
            • +
            • Connect and network with Indigenous students across Canada as well as our Royal Eagles employee resource groups through various initiatives at RBC
            • +
            • Contribute to Indigenous Inclusion
            • +
            • Receive career coaching and development
            • +
            • Be paired with a mentor to help you learn and grow
            • +
            +

            +

            * Level of participation in the RBC Indigenous space is determined by the interns given consent.

            +

            +

            About RBC
            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries.. For more information, please visit rbc.com.

            +

            +

            Inclusion and Equal Opportunity Employment
            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Indigenous/Aboriginal status/non-status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            +


            JOB SUMMARY

            +

            City: Nation Wide
            Address: Nation Wide
            Work Hours/Week: 37.5
            Work Environment: Office
            Career Level: Student Job
            Position Level: PL11
            Application Deadline: 03/31/2021
            Req ID: 301038

            +

            Ad Code(s):

            +
            ",,https://jobs.rbc.com/ca/en/job/301038/Indigenous-Student-Internship-Program-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-31T15:04:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/52158767-indigenous-student-internship-program-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/301038/Indigenous-Student-Internship-Program-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +cd50b3c0-8d75-47cd-bbf9-13734abe14fd,52290386,Thomson Reuters,Data Architect,on_site,Toronto-Ontario-Canada; Eagan-Minnesota-United States of America,2021-02-25T15:36:18.303Z,"
            +Job Description

            Do you want to help one of the most respected companies in the world reinvent its approach to data? Are you a strategic thinker with a strong background in information architecture? At Thomson Reuters, we are recruiting a team of motivated data professionals to transform how we manage and leverage our commercial data assets. It is a unique opportunity to join a diverse and global team with centers of excellence in Toronto, Minneapolis and Bangalore.

            +

            +

            The Data Architect role will be responsible for the conceptual and logical data architecture for all commercial data types. The data architect will define the data architecture roadmap and support the selection and implementation of data technologies, including tooling and the standards for metadata, data lineage tracking, and data interoperability.

            +

            +

            About the Role

            +

            In this opportunity as the Data Architect, you will:

            +
              +
            • Design and deliver the Enterprise Commercial Data Architecture Model. You will map the data journey from operational system sources through any transformations in transit to its delivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)

            • +
            • Mentor and lead other team members, including task delegation, while ensuring work quality from more junior data professionals.

            • +
            • Be a thought leader by hosting a Data Architecture Forum in partnership with the Data Governance Lead for education, review and approval of data architecture standards, and enterprise-wide data models.

            • +
            • Innovate with new approaches to data modelling that meet and exceed the functional requirements as presented by business stakeholders

            • +
            • Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.

            • +
            • +

              Utilize your experience in the following areas:

              +
                +
              • Relational Databases

              • +
              • ‘Big Data’ platforms & architecture, open-source tools

              • +
              • Standalone and Hybrid Cloud Data and Analytics Architectures

              • +
              • Data Security, Privacy, and Compliance

              • +
              • Data Management, with a focus on data quality

              • +
              • Data processing technologies

              • +
              • Metadata Repositories, Information & Data Catalogs

              • +
              • Data virtualization technologies

              • +
              • Multi-domain Master Data platform capabilities

              • +
              +
            • +
            +

            +

            About You

            +

            You're a fit for the role of Data Architect if you have demonstrated expertise of 10+ years with:

            +
              +
            • Data & Analytics architecture development

            • +
            • Data modelling 3NF & Dimensional, including conceptual, logical and physical

            • +
            • Data modelling tools and documentation standards

            • +
            • Development & maintenance of an Enterprise Data Model

            • +
            • Data Warehousing, including data models and data processing

            • +
            • Unstructured information analysis

            • +
            • Information taxonomy creation

            • +
            • Master and Reference data management

            • +
            +

            +

            Also have experience in and comfort with:

            +
              +
            • Information systems design

            • +
            • Stakeholder management

            • +
            • Global teaming and remote collaboration

            • +
            • Communications, written and oral

            • +
            • Business analysis

            • +
            • Business architecture and capability models

            • +
            +

            +

            Have a Bachelor's Degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.

            +

            +

            What's in it For You

            +

            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

            +
              +
            • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

            • +
            • Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one

            • +
            • Perks: Social events & activities, employee discount programs through corporate perks

            • +
            +

            +

            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            +

            +

            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            +

            +

            Accessibility

            +

            +

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            +

            +

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            +

            +

            More information about Thomson Reuters can be found on thomsonreuters.com.

            +

            Locations
            Toronto-Ontario-Canada;Eagan-Minnesota-United States of America
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/486326/Data-Architect/,feed-importer@jobboard.io,,,,2021-03-08T16:01:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/52290386-data-architect-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/486326/Data-Architect/,expired,2021-02-25T15:36:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +2451ad7d-39dc-4720-a2aa-5274d33a63af,52313835,RBC,"Senior Manager, Partnership Analytics - RBC Ventures",on_site,"Toronto, Ontario, Canada",2021-02-25T21:37:22.143Z,"
            +

            What is the opportunity?

            +

            RBC Ventures is new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

            +

            +

            The Partnership Analytics team combines industry knowledge with big data to solve strategic problems for RBC's external partners. The Senior Manager, Partnership Analytics – RBC Ventures will design & deliver on our vision to create a suite of data products that can solve for external partners business problems in a scalable manner.

            +

            The Senior Manager will be responsible for end-to-end accountability from opportunity identification, strategy development, and execution for external RBC partners; as well as developing data driven recommendations for Senior Executives and client partners to deliver business results.

            +

            +

            What will you do?

            +
              +
            • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights to help our external partners grow their business.
            • +
            • Manage the delivery of consultancy engagement to external partners
            • +
            • Regularly present recommendations & opportunities to senior executives and client partners.
            • +
            • +Provide analytical subject matter expertise to define data driven client strategies including:
                +
              • Provide recommendations on new/re-design of strategies, supported by analytics
              • +
              • Design, develop and maintain predictive and segmentation models, including data acquisition, testing, validation, deployment and refinement of these models
              • +
              • Utilize machine learning and other advanced data tools to solve business problems
              • +
              +
            • +
            • Iterate and measure success of initiatives and engagements
            • +
            +


            What do you need to succeed?
            Must-have

            +
              +
            • 5+ years of experience in Business Analytics
            • +
            • 5+ year of experience in SQL and other data analytics tools
            • +
            • 2+ years of experience in people leadership – with a track record of developing talent investments
            • +
            • University degree in a quantitative field of study (e.g., statistics, economics, business)
            • +
            • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions
            • +
            • Experience in advanced analytics methodologies and tools (Python, R, machine learning, data visualization tools, etc.)
            • +
            • Comprehensive knowledge on building segmentation and predictive models
            • +
            • Excellent communication and presentation skills with the integrity and confidence to liaise with executives and senior management
            • +
            +

            +

            Nice-to-have

            +
            • Experience in loyalty, rewards, consumer insights
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in an agile, collaborative, progressive, and high-performing team
            • +
            • The opportunity to interface with senior level executives from many different parts of the organization
            • +
            +

            +

            RBCVentures

            +

            +

            +

            Join our Talent Community
            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



            JOB SUMMARY
            City: Toronto
            Address: 20 Bay Street
            Work Hours/Week: 37.5
            Work Environment: Office
            Employment Type: Permanent
            Career Level: Experienced Hire/Professional
            Pay Type: Salary + Variable Bonus
            Required Travel (%): 0-25
            Exempt/Non-Exempt: N/A
            People Manager: No
            Application Deadline: 03/10/2021
            Platform: Strategy

            Req ID: 326681
            Ad Code(s): RBC Ventures

            +

            +

            +
            ",,https://jobs.rbc.com/ca/en/job/326681/Senior-Manager-Partnership-Analytics-RBC-Ventures,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-11T21:48:21.116Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/52313835-senior-manager-partnership-analytics-rbc-ventures-at-rbc,https://jobs.rbc.com/ca/en/job/326681/Senior-Manager-Partnership-Analytics-RBC-Ventures,expired,2021-02-25T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +a2a6cfc4-dcf7-40fd-9123-47d4c314d664,52746881,Ada,Site Reliability Engineer,on_site,"Toronto, ON, Canada",2021-03-01T14:51:01.270Z,"

            We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.

            You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.
            We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.
            As a Site Reliability Engineer you will have an immense impact on Ada as we continue to grow our company and our technology. You will be integral in building a scalable, efficient, and robust foundation for all of Ada’s products and services. Your work will change the lives of millions of end users.

            +

            +

            + +

            Outcomes

            + +

            #LI-RD1
            About Us
            Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

            ",,https://jobs.lever.co/ada/127b7047-a01d-43d1-826d-6ab26a5c67b2,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-22T16:51:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/52746881-site-reliability-engineer-at-ada,,expired,2021-03-01T14:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,Re-Posting an Expired Job, +d2702453-b3a7-4837-a6dc-e946722e5f7f,53110434,Lakehead University,Tenure Track Faculty Positions,on_site,"Thunder Bay, ON, Canada",2021-03-03T20:18:11.041Z,"

            Lakehead University, Thunder Bay Campus, invites applications for two tenure-track positions and one 3-year limited-term appointment in the Department of Computer Science. The positions will commence on May 1,2021, at a rank commensurate with experience and qualifications.

            +

            Tenure-Track (2 positions): Applications are invited from outstanding candidates in Computer Science with a strong research focus in the broad category with preferences in the following areas: Cryptography, Computer Security and Privacy, Computing Systems, Human-Computer Interaction, Natural Language Processing, and Theoretical Computer Science. Applications with exceptional research in other areas that complement the expertise of the department may also be considered.

            +

            Limited Term Appointment (1 position): Applicants will be expected to teach a range of courses at the undergraduate and graduate levels, such as Data Structures, Theory of Computing, Operating Systems, Computer Architecture, and other Computer Science core courses as well as may supervise MSc projects/Theses. Strong research or the potential to conduct high-impact research is also essential for this position.

            +

            The successful candidates are expected to initiate an externally funded research program and contribute to the supervision of graduate students in our MSc. Program. Additionally, the candidates are expected to actively participate and support the department activities. Applicants should hold a Ph.D. in Computer Science or a related discipline. Prior teaching, post-doctoral, or industry experience will be considered as an asset. Experience with experiential learning and online or alternative modes of course delivery is highly desired.

            +

            The Department of Computer Science is a fast-growing department with a total of 14 full-time faculty members including one research chair. Our faculty members are involved in various externally funded research programs.

            +

            Lakehead is a comprehensive university with a reputation for innovative programs and cutting-edge research. With campuses located in Thunder Bay and Orillia, Lakehead has approximately 10,000 students and 2,160 faculty and staff. With an emphasis on collaborative learning and independent critical thinking and a multidisciplinary teaching approach, Lakehead offers a variety of degree and diploma programs at the undergraduate, graduate, and doctoral levels through its ten faculties, including Business Administration, Education, Engineering, Health and Behavioural Sciences, Natural Resources Management, Science and Environmental Studies, Social Sciences and Humanities, Graduate Studies, the Northern Ontario School of Medicine (West Campus) and Ontario’s newest Faculty of Law. For further information, please visit: www.lakeheadu.ca.

            +

            For further information, please contact Dr. V. Mago, Chair, Department of Computer Science (e-mail: vmago@lakeheadu.ca). Detailed information on our undergraduate and graduate programs is available on our homepage: https://www.lakeheadu.ca/academics/departments/computer-science

            +

            Review of applications will begin immediately and will continue until the positions are filled. Applications received by March 15, 2021, will receive full consideration. The electronic application (in the form of one PDF document) should include a letter of interest (explicitly mention the position: Tenure-Track or LTA or Both), curriculum vitae, evidence of teaching effectiveness (including a statement of teaching, course outlines, and teaching evaluations for previously-taught courses), a statement of a research plan (current and future interests), copies of the three most significant publications, a completed eligibility form (see below) and the names and contact information of three references. A completed Confirmation of Eligibility to Work in Canada form must accompany your package. This form is available on our website at https://www.lakeheadu.ca/faculty-and-staff/departments/services/hr/employment-opportunities/

            +

            Applicants should submit their electronic application to:

            +

            Dr. Todd Randall

            +

            Dean Faculty of Science and Environmental Studies

            +

            Lakehead University

            +

            Thunder Bay, Ontario

            +

            e-mail: applications.ses@lakeheadu.ca

            +

            Lakehead University is committed to creating a diverse and inclusive environment and welcomes applications from all qualified individuals including women, racialized persons, Indigenous people, persons with disabilities, and other equity-seeking groups. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. This is in accordance with Canadian immigration requirements.

            +

            We appreciate your interest; however, only those selected for an interview will be notified. Lakehead University is committed to supporting an accessible environment. Applicants requiring accommodation during the interview process should contact the Office of Human Resources at (807) 343.8334 or human.resources@lakeheadu.ca to make appropriate arrangements.

            +

            These positions are subject to final budgetary approval.

            ",,https://www.lakeheadu.ca/faculty-and-staff/departments/services/hr/employment-opportunities/employment-opportunities-db/node/62940,aimasters@vectorinstitute.ai,https://www.lakeheadu.ca/,,,2021-04-02T20:18:00.000Z,False,0,1,60,https://talenthub.vectorinstitute.ai/jobs/53110434-tenure-track-faculty-positions-at-lakehead-university,,expired,2021-03-03T20:18:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Mid-Senior Level,PhD,New Posting, +8f11674d-0bca-40bf-a4fa-65a07808b8a6,26341031,Google,"Software Developer Intern, PhD, Summer 2020",on_site,"Waterloo, ON, Canada",2019-12-09T22:15:02.619Z,"

            +

            +

            Minimum qualifications:

            + +

            Preferred qualifications:

            + +

            About the job

            +

            This internship is intended for students currently enrolled in an accredited degree program in Computer Science who will be returning to school after the completion of the internship to continue working towards degree program completion.

            +

            Software Developers at Google are researchers and developers who yearn to create and implement complex computer science solutions. Our developers create massively scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - requiring awareness and comprehension of the latest research in the field. We focus on being a collaborative, global organization consisting of developers with the highest levels of technical depth, programming skills and a keen eye for quality.

            +

            As a Software Developer Intern, you will work on our core products and services as well as those who support critical functions of our engineering operations. You will build competencies in data structures and algorithms, along with a technical fascination for how stuff fits together. You need to have a good foundation in computer science in order to consistently come up with new ideas as well as strive for a deep understanding of our products and services in order to continually improve upon them. Typically our PhD Interns are expected to work in the following area:

            +

            Product and Systems Development
            Whether it's finding new and innovative ways to advance search quality, building computing platform and networking technologies, automating the indexing of videos, or continuing to refine and scale complex auction systems, you will be developing solutions to some of the most challenging technical problems out there. You will research, conceive and develop software applications to extend and improve on Google's product offerings and collaborate on scalability issues involving access to massive amounts of data and information. Examples of specialist domains: UI development with AJAX and similar technologies, security, embedded systems and mobile apps (Android), developer tools (IDEs, large-scale build systems, compilers).

            +

            Engineering Productivity
            As a Software Developer in the Engineering Productivity organization, you'll use your software design, analysis and programming skills to create innovative automated test systems. This isn't a job in which you'll simply debug and run test cases, in fact that only scratches the surface. The test team undertakes a broad range of challenges on a daily basis, designing and building intelligent systems that can explore various use cases and scenarios for distributed computing infrastructure.

            +

            ,

            +

            Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

            +

            Responsibilities

            + +

            At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

            +

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            +


            +

            ",,https://careers.google.com/jobs/results/136912434959917766-software-developer-intern-phd-summer-2020/?src=Online%2FTOPs%2FNA%20Tech%20University%20Email&utm_campaign=phdsdinterncan-emailalias&utm_medium=jobposting&utm_source=email,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2020-02-07T22:15:00.000Z,False,0,10,46,https://talenthub.vectorinstitute.ai/jobs/26341031-software-developer-intern-phd-summer-2020-at-google,,expired,2019-12-09T22:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +05d095a9-3146-4ecb-9ee6-a4ac410977bd,26341033,Google,"Software Developer Intern, MS, Summer 2020 - Expires Dec 16",on_site,"Waterloo, ON, Canada",2019-12-09T22:16:51.038Z,"

            Minimum qualifications:

            + +

            Preferred qualifications:

            + +

            About the job

            +

            Join us for a unique internship that offers personal and professional development, executive speaker series, and community-building. This program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - which requires research, awareness, interactivity, and asking questions.

            +

            As a Software Developer Intern, you will work on our core products and services as well as those who support critical functions of our engineering operations. Depending on your background and experience, you will be working in one of the following areas:

            +

            Product and Systems Development
            Whether it's finding new and innovative ways to advance search quality, building computing platform and networking technologies, automating the indexing of videos, or continuing to refine and scale complex auction systems (just to name a few), you will be developing solutions to some of the most challenging technical problems out there. You will research, conceive and develop software applications to extend and improve on Google's product offerings and collaborate on scalability issues involving access to massive amounts of data and information. Examples of specialist domains: UI development with AJAX and similar technologies, security, embedded systems and mobile apps (Android), developer tools (IDEs, large-scale build systems, compilers).

            +

            +

            Engineering Productivity
            As a Software Developer in the Engineering Productivity organization, you'll use your software design, analysis and programming skills to create innovative automated test systems. The test team undertakes a broad range of challenges on a daily basis, designing and building intelligent systems that can explore various use cases and scenarios for distributed computing infrastructure.

            +

            Site Reliability
            Software Developers working in Site Reliability are involved in every facet of Google's production and work on the cutting edge of cloud-based computing. As a member of this team you are in the thick of everything involved with keeping Google running, from code-level troubleshooting of traffic anomalies to maintenance of our most cutting-edge services; from monitoring and alerts to building new automation infrastructure. Software developers on this team love to create robust and scalable software that scale to tens of millions of users. You will handle challenging, novel situations every day, and work with just about every other engineering and operations team to provide services and applications that are quintessentially Google - fast, reliable and accessible to all.

            +

            Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

            +

            Responsibilities

            + +

            At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

            +

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            ",,https://careers.google.com/jobs/results/84185354849919686-software-developer-intern-ms-summer-2020/,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2019-12-17T21:42:00.000Z,False,0,25,73,https://talenthub.vectorinstitute.ai/jobs/26341033-software-developer-intern-ms-summer-2020-expires-dec-16-at-google,,expired,2019-12-09T22:16:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +fd933d47-acf8-4f7f-8f8f-7ecec8e458ce,26460488,Layer 6,"Machine Learning Intern (PEY, 12-16 Months)",on_site,"Toronto, ON, Canada",2019-12-11T21:21:49.880Z,"

            Layer 6 (layer6.ai) is a leading Canadian machine learning research company, developing advanced machine learning and deep learning systems to solve complex problems with enormous data. Our technical capabilities have been publicly recognized through multiple wins of international data science competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018). Our research in computer vision has resulted in a second place finish in Google’s Landmark Retrieval Challenge, and our NLP research has placed Layer 6 among the top teams in the Stanford Q&A Dataset.

            +

            Layer 6 publishes industry-leading research in recommendation systems, knowledge representation, NLP and vision using advanced machine learning, deep learning and generative frameworks. We deploy ML solutions across a range of sectors with unique access to massive datasets and computing resources. The domains include: TD Bank data on 25mil customers of which 8M are active on the bank’s location-aware mobile app; capital markets data via TD Securities and TD Ameritrade; Ontario population health data on 14.5M people; radiology imaging data that exceeds 100M terabytes.

            +

            Layer 6 AI is located in MaRS at University & College, and is a fully owned subsidiary of TD Bank.

            +

            As a Machine Learning Intern, you will:

            +

            - Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

            +

            - Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.

            +

            - Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.

            +

            - Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.

            +


            +Required Qualifications:

            +

            - Graduate students in CS, ECE, Mathematics, Stats, Physics or related field.

            +

            - Strong background in deep learning and machine learning

            +

            - Research experience with publication record

            +

            - Proven track record of applying machine learning to solve real-world problems

            +

            Preferred Qualifications:

            +

            - Hands on experience in software systems development and SaaS applications
            +- Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
            +- Experience using GPUs for accelerated deep learning training
            +- Familiarity with AWS

            ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-01-25T21:22:00.000Z,False,17,0,128,https://talenthub.vectorinstitute.ai/jobs/26460488-machine-learning-intern-pey-12-16-months-at-layer-6,,expired,2019-12-11T21:21:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Internship/Co-op,Masters Degree,New Posting, +4142b4bb-60e0-4f53-91d2-ad713db5a679,26678218,Telus,Design Specialist ,on_site,"Toronto, ON, Canada",2019-12-16T21:47:29.045Z,"

            Join our team

            The Wireless Service Analytics & Transformation (WSAT) team’s goal is to enable best-in-class wireless experience by developing a customer centric view of service performance and enhancing business insights by leveraging advanced analytics and artificial Intelligence.

            Our team consists of talent across various technology teams including network engineering, data scientists and management consultants to help achieve our goal.

            Together, we will develop customer centric models to predict and prevent service degradations, discover new cost reduction/capital efficiency opportunities and model network experience.

            Here’s the impact you’ll make and what we will accomplish together

            As a skilled wireless engineering data scientist you will combine your experience in engineering and data science to build systems that will improve the wireless network experience for our customers.

            Our team takes pride in the development and deployment of AI/ML based solutions to improve customer experience. We take ownership of each step of the process: use your expertise to explore data sets, develop novel AI techniques to find new insights and finally develop automation pipelines and web-visualizations to deliver your AI/ML based solution.

            As a result of your efforts our team will greatly improve wireless service for our millions of subscribers!

            We are looking for a team member with a:

            +

            + +

            Here’s how

            + +

            +

            Qualifications

            +

            You’re the missing piece of the puzzle

            + +

            Great-to-haves

            + +

            Who is TELUS?

            We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.

            Everyone belongs at TELUS. It doesn’t matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

            Do you share our passion?

            At TELUS, you create future friendly® possibilities.

            At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.

            +

            +

            Primary Location

            +

            : CA-ON-Toronto

            +

            Other Locations

            +

            : CA-AB-Edmonton, CA-AB-Calgary, CA-BC-Vancouver

            +

            +

            Schedule

            +

            : Full-time

            ",,https://telus.taleo.net/careersection/10000/jobdetail.ftl?job=TEC11196-19,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2020-01-30T21:47:00.000Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/26678218-design-specialist-at-telus,,expired,2019-12-16T21:47:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,Re-Posting an Expired Job, +978e1549-b39b-48b7-826d-615a96daa0d7,26678254,Telus,DevOps Engineer - Wireless Core Network Services DevOps,on_site,"Toronto, ON, Canada",2019-12-16T21:48:41.087Z,"

            Make your mark on the leading edge of next generation wireless networks and technologies!

            Join our team

            The national Wireless Core Network Services DevOps team is at the forefront of driving strategy for next generation of networks and technologies such as 5G, IoT, AI and SDN/NFV. Team is responsible for development, delivery and operations of mobility core network services. Team members are often considered innovators as they develop and enhance network designs aimed at improving reliability for core mobility services.

            Here’s the impact you’ll make and what we’ll accomplish together

            Your creativity coupled with strong Software defined networking, machine learning, data analytics and computer networking skills will allow us to find the most efficient ways of building and maintaining our wireless core network to support existing mobility infrastructure and offer new services.

            You will exercise your entrepreneurial spirit and creative vision to change the way TELUS leverages technology. Collectively, the passion we have to transform the Network landscape will remain a leading factor in why customers continue to recognize TELUS as the fastest and most reliable network in Canada.

            Here’s how

            +

            + +

            +

            Qualifications

            +

            You’re the missing piece of the puzzle

            + +

            Great-to-haves

            + +

            Who is TELUS?

            We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.

            Everyone belongs at TELUS. It doesn’t matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

            Do you share our passion?

            At TELUS, you create future friendly® possibilities.

            At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.

            +

            +

            Primary Location

            +

            : CA-ON-Toronto

            +

            Other Locations

            +

            : CA-QC-Montreal, CA-AB-Calgary, CA-BC-Vancouver

            +

            +

            Schedule

            +

            : Full-time

            ",,https://telus.taleo.net/careersection/10000/jobdetail.ftl?job=TEC11322-19,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2020-01-30T21:48:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/26678254-devops-engineer-wireless-core-network-services-devops-at-telus,,expired,2019-12-16T21:48:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +ae688f4b-5b88-4dde-9205-9e1cf0322464,26678292,TD Bank Group,Data Scientist I,on_site,"Toronto, ON, Canada",2019-12-16T21:51:37.068Z,"

            Company Overview

            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +

            +

            Department Overview

            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            +

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            +

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +

            +

            Job Description

            +

            About this Role

            +

            You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

            +

            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            +

            As a Data Scientist I, these are the essential qualifications of this role:

            + +

            +

            Requirements

            +

            What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            + +

            +

            Hours

            +

            37.5

            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/10514212/data-scientist-i-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-01-02T15:40:00.000Z,False,0,11,63,https://talenthub.vectorinstitute.ai/jobs/26678292-data-scientist-i-at-td-bank-group,,expired,2019-12-16T21:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +bbcc7af9-7b2a-435d-8db0-ceefd5ff6d3d,26807017,Deloitte,Omnia AI: Data Engineer - New Graduate 2020,on_site,"Ottawa, ON, Canada",2019-12-18T19:55:17.838Z,"

            Date Posted: Dec 13, 2019

            +

            Reference Code: 48303-en_US

            + +

            If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

            +

            What will your typical day look like?

            +


            A data engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

            +

            In this role, you will:

            + +

            About the team

            +

            +

            +

            +

            +

            +

            +


            +

            +

            +

            +

            +

            +

            +

            As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

            +

            Enough about us, let’s talk about you

            +

            +

            +

            +

            +

            +

            +


            +

            +

            +

            +

            +

            +

            +

            You are someone who is:

            + +

            Why Deloitte?

            +

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            + +


            The next step is yours

            +

            +

            Sound like The One Firm. For You? Apply by January 19, 2020.

            +

            +

            At Deloitte we are all about doing business inclusively – that starts with having a diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            +

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

            ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-01-19T19:55:00.000Z,False,6,0,137,https://talenthub.vectorinstitute.ai/jobs/26807017-omnia-ai-data-engineer-new-graduate-2020-at-deloitte,,expired,2019-12-18T19:55:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, cd8d8e74-99b3-4a82-aebd-0c9e0752c929,26900803,PwC,Analytics - Analytics Generalist - Associate,on_site,"Toronto, ON, Canada",2019-12-20T19:22:05.946Z,"

            Line of Service

            Advisory

            @@ -31641,893 +32238,322 @@ d91e9769-2b0a-48cb-9d55-65caf2276cfb,290389895,RBC,"Manager, Strategic Reporting

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

            ",,https://jobs.rbc.com/ca/en/job/R-0000072399/Manager-Strategic-Reporting-and-Analytics-Contract,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-12-04T21:05:00.000Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/290389895-manager-strategic-reporting-and-analytics-contract-at-rbc,,expired,2023-11-23T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -633f5003-8269-4352-b1c6-2228c11c237b,323512970,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Toronto, ON, Canada",2024-05-16T16:21:08.963Z,"

            Date: May 9, 2024

            -

            Location: Toronto, Ontario, Canada

            -

            Company: Deloitte

            -

            Job Type: Permanent
            Work Model:
            Hybrid
            Reference code:
            126337
            Primary Location:
            Toronto, ON
            All Available Locations:
            Toronto, ON; Calgary, AB; Vancouver, BC

            -

            -

            Our Purpose

            -

            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

            -

            By living our Purpose, we will make an impact that matters.

            - -

            What will your typical day look like?

            -

            Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

            -

            As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

            -

            We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
            • Risk Data Strategy & Architecture
            • Risk Data Modelling & Engineering
            • Risk Data Analytics, Reporting & Insights
            • Risk Data Governance & Management

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            The successful candidate will have responsibility to:
            • Support our clients to grow responsibly through the use of applied data and analytics.
            • Support the industry leadership in growing our risk analytics business.
            • Support the establishment of a repeatable analytical models and approaches for clients.
            • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
            • Manage and support team members in the delivery of work
            • Build strong relationships with key Deloitte team members and clients.
            • Enhance the value of our deliverables and the insights provided by our work.
            • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
            • Work with existing clients to design and develop programs for data and analytics.
            • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
            • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

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            About the team

            -

            We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

            -

            Enough about us, let’s talk about you

            -

            In this role, the expected qualifications are:

            • Exceptional planning, organization, project and people management skills.
            • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
            • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
            • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
            • Experience in Financial Services Industry in a consulting or industry capacity
            • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
            • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
            • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
            • Experience in working with analytical, visualization and data engineering capabilities
            • Experience in working with cloud capabilities is an asset
            • Ability to own and drive initiatives in many different and challenging environments.
            • Ability to understand client needs and deliver value through proven and innovative approaches.
            • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
            • Ability to work in a fast paced and demanding environment, both independently and in a team setting
            • Ability to establish priorities and meet challenging deadlines
            • Curiosity and comfortability with ambiguity
            • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
            • Willingness/flexibility of traveling to client locations, as required

            -

            Total Rewards

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            The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

            Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

            -

            -

            Our promise to our people: Deloitte is where potential comes to life.

            -

            -

            Be yourself, and more.

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            We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

            -

            You shape how we make impact.

            -

            Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

            -

            Be the leader you want to be

            -

            Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

            -

            Have as many careers as you want.

            -

            We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

            The next step is yours

            -

            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

            -

            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-06-15T16:21:12.029Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/323512970-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,,expired,2024-05-16T16:21:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -27d66daa-2a35-492c-86e2-41bd0116d009,325154865,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-05-24T01:13:02.479Z,"
            -
            -

            Field Solutions Developer III, Generative AI, Google Cloud

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            -corporate_fareGoogleplaceSan Francisco, CA, USA; Toronto, ON, Canada; +9 more; +8 more
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            -bar_chartAdvanced -
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            Advanced

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            Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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            -Apply
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            info_outline
            -XInfo The application window will be open until at least June 11, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.

            The application window will be open until at least June 11, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

            -

            This role may also be located in our Playa Vista, CA campus.

            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.
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            Minimum qualifications:

            +1ee15eb5-2127-41e5-be1e-866581dde9f1,289139832,Sun Life Financial,"Manager, Data Analytics",on_site,"Ontario, Canada",2023-11-20T12:29:01.866Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

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            +

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            Job Description:

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            Location: Hybrid

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            Reporting to the Director, Product & Prospr Analytics, the Manager, Data Analytics will lead a team of data analysts and be responsible for the development and delivery of analytical solutions and reporting for the Prospr digital journey, growth, and sales teams. As a key stakeholder to the success of the Prospr team, the Manager, Data Analytics partners closely with our business partners to understand the business and their needs and leverage data (internal and external) to provide high impact analytics and insights to accelerate the growth of the Prospr business.

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            +

            What you will do

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            • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
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            • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
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            • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
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            • Experience delivering technical presentations and leading business value sessions.
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            • Work with stakeholders to draw business insights from analytical outputs

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            • Communicate recommendations and data insights to leadership teams

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            • Effectively manage multiple workstreams and lead the team to deliver business value

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            • Establish automated reporting on key performance metrics (KPIs) using Tableau

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            • Automate, improve, transform existing reporting processes to better meet the needs of stakeholders

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            • Become a data subject matter expert by working with our IT and business partners across the organization

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            • Implement best practices in all steps of the analytical process from requirement gathering to analytical outputs and presentations

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            Preferred qualifications:

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            What you need to succeed

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            • Master\'s degree in Computer Science, Engineering, or a related technical field.
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            • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
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            • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
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            • Experience with distributed training and optimizing performance versus costs.
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            • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
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            • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
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            • Undergraduate degree in Mathematics, Computer Science, Engineering or equivalent

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            • 2+ years experience leading data teams and/or large scale projects

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            • 5+ years in data analysis, business intelligence and visualization

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            • Communication and presentation skills

            • +
            • Experience working in a sales and/or marketing organization

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            About the job

            -

            As a Generative AI Field Solutions Developer, you will play a pivotal role in supporting our Google Cloud business organization. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.

            -

            You will leverage the Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings.

            -

            Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

            The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

            Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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            Responsibilities

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            Technical skills

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            • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
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            • Demonstrate how Google Cloud is differentiated by working with customers on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
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            • -
            • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
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            • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities. Travel as needed.
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            • Data analysis and querying large datasets with SQL (e.g. SQL Server, PostgresSQL, Oracle, Snowflake)

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            • Data visualization / dashboarding with Tableau or equivalent

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            • Data analysis and visualization using Excel

            • +
            • Data analysis with Python (e.g. Pandas, Numpy, Matplotlib, Jupyter Notebook)

            • +
            • Familiarity with AWS data toolsets (e.g. Glue, Redshift, Sage Maker, etc.)

            • +
            • Familiarity with Data automation / orchestration (e.g. Airflow, Informatica)

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            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            -

            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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            -
            ",,https://www.google.com/about/careers/applications/jobs/results/134490933082104518-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-23T14:23:00.000Z,False,0,8,43,https://talenthub.vectorinstitute.ai/jobs/325154865-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,expired,2024-05-24T01:13:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -ce6e8f18-694b-460e-aace-374f61f1a374,325526586,TELUS,AI Product Manager,on_site,"Ontario, Canada",2024-05-26T01:36:03.436Z,"
            -
            -

            Join our team and what we\'ll accomplish together

            -
            -

            -


            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

            -

            -

            We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

            -

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            In this role as an AI Product Manager you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.

            -

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            What you\'ll do

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            • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
            • -
            • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
            • -
            • Play the critical role of “translator” i.e. translating business problems into data problems.
            • -
            • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.
            • -
            • Define strategy for the team and for the products that you’ll develop
            • -
            • Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
            • -
            • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
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            What you bring

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            • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
            • -
            • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management
            • -
            • 5 or more years of hands-on work and practical business experience in the above areas.
            • -
            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
            • -
            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
            • -
            • You are well versed in software and AI development lifecycles, including ML Ops.
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            • You are agile and have a bias for action, removing roadblocks to get results fast
            • -
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            Great-to-haves

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            • GCP or other cloud certifications
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            • Experience with Agile methodology and work in a start-up environment
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            • Experience in Management Consulting
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            • Product Management/Ownership certification(s), Scrum Master
            • -
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            -

            -
            -
            -
            ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON-M5J-2V5/580186317/,feed-importer@jobboard.io,,,,2024-06-20T20:27:00.000Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/325526586-ai-product-manager-at-telus,,expired,2024-05-26T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,No Degree,New Posting, -89132776-7d70-454f-ad30-4dd917c281be,333522158,Scotiabank,"Senior Manager, Data Science and Insight (Bilingual English/Spanish)",on_site,Canada : Ontario : Toronto,2024-07-11T16:28:03.093Z,"

            -

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            Requisition ID: 202882

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

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            The Senior Manager will work closely with the business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate’s activities include requirement analysis, data analysis, documentation, and focal point of managing the communication with countries.

            -

            The individual will contribute to the delivery of key risk information and data analytics for the Global Risk Management – Business Banking. He/she plays an active role in the deployment of technology solutions that enhance the effectiveness of risk management. He/she partners with colleagues in GRM and IT&S, in addition to other Bank stakeholders to assist with the deployment of multi-disciplinary, complex, management technology solutions that align with GRM’s strategic priorities.

            -

            -

            Is this role right for you? In this role, you will:

            -
            • Lead and drive a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
            • Develop and implement strategies for increasing the effectiveness and quality of risk reporting to senior management and executives.
            • Assist in enhancing Centre of Excellence data and analytics team by benchmarking global standards and work on standardization across countries.
            • Foster collaboration with subsidiaries and branches to identify opportunities, Leverage the expertise within the Toronto office to develop and implement effective solutions.
            • Streamline and optimize local information, and MIS to gain understanding of BNS results and benchmark against market where appropriate. Develop key performance indicators and early warnings across the life cycle to promptly identify emerging trends that can impact portfolio performance.
            • -
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            • Collaborate with IB subsidiaries and branches on identifying opportunities for automation and digitization, develop solutions by leverage the expertise in the Toronto office.
            • Drive effective risk stewardship and acceptable risk-return opportunities by communicating risk appetite and strategic objectives, using policies, process and technology that can be leveraged across the organization to maximize profit, in consideration of the strategy and risk appetite of the Bank and country.
            • Participate in the identification, assessment, measurement, and monitoring of complex, cross-enterprise risks, and communicating these risks to Executives in committee environments and preparing reports for the Board of Directors.
            • -
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            • Enhance reporting capabilities by improving analytical programs and migrating reports to common platforms.
            • Participate in the calculation and reporting of PCLs which includes, but not limited to, communication with subsidiaries, analysis of key drivers such as volume, credit quality, and macroeconomic forecasts. Assisting senior management in applying expert credit judgement to assure appropriate levels of Allowance for Credit Losses (ACL).
            • Create an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
            • Build a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment and uses a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.
            • -
            -

            -

            Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

            -
            • A minimum of five or more years of progressive, relevant, and practical experience with reputed organizations, preferably with financial institutions.
            • A technical background in mathematics, information technology or financial engineering is preferred.
            • Working knowledge of SQL, SAS and Python is an asset.
            • Experience on working with BI (Business Intelligence) dashboard, including tools such as Power BI and Tableau is considered an asset.
            • Bilingual in Spanish/English is considered as asset.
            • -
            -

            -

            What's in it for you?

            -
            • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers
            • A rewarding career path with diverse opportunities for professional development
            • Internal training to support your growth and enhance your skills
            • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
            • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more
            • Hybrid Work Environment
            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-and-Insight-%28Bilingual-EnglishSpanish%29-ON-M5H3Y2/582629417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-05T16:33:03.315Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/333522158-senior-manager-data-science-and-insight-bilingual-english-spanish-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-and-Insight-%28Bilingual-EnglishSpanish%29-ON-M5H3Y2/582629417/,expired,2024-07-11T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -a32b115b-50de-4527-856c-2c094e81a151,335779798,CIBC,"Director, AI Governance – AI Risk Management",on_site,"Ontario, Canada",2024-07-29T07:33:02.926Z,"
            -

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            -

            What You\'ll Be Doing

            -

            The Enterprise AI Governance Office (AIGO) within the Enterprise Advanced Analytics and AI Hub at CIBC is the team responsible for ensuring that all AI activities in CIBC are governed in accordance with the Enterprise AI Framework and its associated processes and standards. AIGO leads the way within the organization in developing processes, standards, guidance, and best practices for effectively managing AI related risks and ensuring regulatory compliance.

            -

            This position involves supporting CIBC’s AI Risk management practices through conducting and reviewing AI risk assessments, developing effective AI risk mitigation plans in partnership the business teams and other risk control groups, and also by providing AI risk advisory services to the Enterprise. The position will be responsible for ensuring all AI solutions in the organization are appropriately risk assessed as required by the Enterprise AI Framework. The Director will work collaboratively with technology, business teams, control groups, audit, and oversight bodies to ensure that all CIBC AI Governance requirements are complied with and are effective in managing AI-related risks.

            -

            -

            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

            -

            -

            How You’ll Succeed

            -
              -
            • Champion the responsible and ethical use of AI for solving business problems-Work with business units to understand their AI Governance needs, opportunities, and pain points. Work with risk and control teams to ensure AI related risks are adequately managed. Focus on relationship building and become a trusted partner for AI Governance within the bank. Contribute to the development of AI risk management thought leadership and related educational resources both within the organization and externally. 

            • -
            • Ensure AI Solutions are managed and delivered in a governed manner-Work with AI development, technology, and risk/control/compliance teams in identifying, assessing, and mitigating AI-related risks in accordance with AI risk management best practices, tools and techniques to comply with governance requirements and accelerate CIBC’s leadership in ethical and responsible use of AI. Develop AI-related risk mitigation controls with key partners and assist with ongoing risk reporting and risk reviews for the Enterprise.

            • -
            • Translate research to insights and inform decision making-Monitor, research, and report on the latest trends and developments around AI risk management. Help ensure that all AI risk management processes, tools, and techniques are inclusive of the requirements necessary to meet the growing demands and advancements in AI by suggesting and making changes to the current state.

            • -
            • Ignite innovation, drive actions- Work as an internal consultant to drive results through the application of ""governed"" AI solutions. Provide support and help drive adoption of AI Governance across the organization by developing strategy and success metrics. Manage and participate in all AI Governance related bodies and committees.

            • -
            -

            -

            Who You Are

            -
              -
            • You can demonstrate experience in developing, assessing, and evaluating AI solutions. Knowledge of Predictive Modelling, Machine Learning, NLP, Computer Vision, and other AI disciplines is a must have. You are a seasoned Data Science professional with strong foundational knowledge in Linear Algebra, Probability and Statistics, Computer Science, and/or Engineering.

            • -
            • You have extensive hands-on experience in developing and deploying AI or Machine Learning solutions using Python, SAS, or R. Additionally, you have strong coding skills in SQL and hands-on experience with Tableau.

            • -
            • You are passionate. about the responsible and ethical use of AI to benefit society. You enjoy conducting research, developing processes and guidance, and educating others on this important topic.

            • -
            • You’re a certified professional. You have a degree in a relevant discipline with education and knowledge that are transferrable to AI Governance.

            • -
            • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

            • -
            • You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.

            • -
            • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

            • -
            • Your influence makes an impact. You know that relationships and networks are essential to success.

            • -
            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork, and accountability.

            • -
            -

            -

            -

            What CIBC Offers

            -

            -

            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            -
              -
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

            • -
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

            • -
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

            • -
            -

            -

            *Subject to plan and program terms and conditions

            -

            -

            What you need to know

            -
              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • -
            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

            • -
            -

            -

            -

            -

            -

            -

            Job Location

            Toronto-81 Bay, 21st Floor

            -

            Employment Type

            Regular

            -

            Weekly Hours

            37.5

            -

            Skills

            Artificial Intelligence Ethics, Cloud Governance, Governance Framework, Policy Compliance, Policy Development, Quality Assurance (QA) Standards, Regulatory Compliance, Risk Management and Mitigation, Standards Compliance
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--AI-Governance----AI-Risk-Management_2416264-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-08-08T07:38:02.044Z,False,0,4,26,https://talenthub.vectorinstitute.ai/jobs/335779798-director-ai-governance-ai-risk-management-at-cibc,,expired,2024-07-29T07:33:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -565f2adc-b622-4b52-9cc0-6e684c4040fd,336207262,Scotiabank,"Associate, Risk Insights and Analytics - Toronto",on_site,Canada : Ontario : Toronto,2024-08-01T16:28:02.840Z,"

            -

            -

            -

            -

            Requisition ID: 202758

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.

            -

            -

            Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

            -

            -

            Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

            -


            Purpose
            Assist and lead the development and implementation of a governance and processes for Global Banking & Markets (“GBM”) Internal Control. The incumbent will play a critical part in successfully developing and tracking Key Risk Indicators, Key Performance Indicators or metrics; and proactively identifying and remediating risks through data-driven analytics.


            What You'll Do:

            -
            • Partner with business leaders, technology groups and control and support units to ensure appropriate controls are designed into new processes and/or when changes occur because of new business, new or enhancements to existing systems, regulatory pronouncements, etc.
            • Coordinating and ensuring completion of ad-hoc requests from internal and external stakeholders
            • Creating and understanding meaningful, robust business commentary for various recurring Management and Executive Committees, Board meetings, and regulatory forums
            • Strengthening and developing the control environment by promoting an understanding and adherence to the existing governance framework and policies, procedures, and regulations
            • Actively creating efficiencies in the way controls are applied while still operating under a robust control framework
            • Developing relationships with desk heads to understand requirements to manage operational risk and support business activity
            • Development of internal standards, guidelines and procedures to manage operational risk within the strategic framework set by the SVP, Head of GBM Internal Controls
            • Integrate data from multiple sources and develop dashboards, reports with commentary for the Global Banking & Markets businesses
            • Develop and enhance tools and processes through innovative use of the available technologies
            • -Assist in supporting existing tools, along with creating numerous new tools, reports, and automated processes to manage operational risks and regulatory information such as.
              • Develop Key Risk Indicators, Key Performance Indicators and/or metrics tools to facilitate oversight and supervision of GBM staff
              • Maintain and develop additional functionality to in-house tracking tools and provide periodic and ad-hoc reports to management
              • Assist trading management with ad-hoc requests and special projects
            • Create detailed documentation and training guides for tools and systems, and ensure all processes are clearly documented
            • Ensure departmental objectives are met by keeping current on rapidly changing technological trends, self-teaching and maintaining an understanding of new software development technologies
            • -
            -


            What You'll Bring:

            -
            • University Degree or College Diploma, preferably with programming experience
            • CFA (preferred)
            • High proficiency in Excel (including VBA or Office Scripts), data structuring and data analytics and visualization (Power BI, Python, SQL, Power Query, Tableau, or R)
            • Excellent knowledge and experience in programming, development, database design and related technologies
            • Ability to come up with solutions and technical design based on high level business requirements
            • Passionate about programming, technology, and improving processes
            • Proficient at quickly learning/understanding code to troubleshoot and fix bugs
            • Demonstrate maturity, credibility and sound judgment in dealing with senior management across business lines, risk management and support groups
            • Ability to successfully work in a fast paced and dynamic environment with constantly changing conditions
            • Self-starter and independent worker
            • Excellent time management
            • Team player with strong written, communication and presentation skills.
            • The ability to prioritize amongst many competing deliverables at any given time
            • -
            -


            Work Arrangement:
            This position is currently a hybrid role, with the expectation that you will work at least 3 days a week in the office. Please note that this is subject to change based on the needs of the business.

            -


            Interested?

            -

            If your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!

            -

            At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.

            -

            -

            What's in it for you?

            -

            Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Risk-Insights-and-Analytics-Toronto-ON-M5H1H1/583234017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-08T16:33:03.148Z,False,0,7,41,https://talenthub.vectorinstitute.ai/jobs/336207262-associate-risk-insights-and-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Risk-Insights-and-Analytics-Toronto-ON-M5H1H1/583234017/,expired,2024-08-01T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -4a0d3e08-d499-4615-98e5-5932f2c18a0c,337370350,TD Bank Group,Manager Analytics and Insights - 12 month STA,hybrid,"Toronto, ON, Canada",2024-08-08T20:55:01.605Z,"

            Work Location:

            -

            Canada

            -

            -

            Hours:

            -

            37.5

            -

            -

            Line of Business:

            -

            Data & Analytics

            -

            -

            Pay Details:

            -

            We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

            -

            -

            Job Description:

            -

            ***This is a 12-month short-term assignment***

            -

            -

            TD's Risk Shared Services (RSS) is seeking a Manager, Insights and Analytics to join their Data, Analytics and Reporting (DAR) team for a 1 year Short Term Assignment (STA). They will be instrumental in delivering analytic products to the risk management clients we serve.

            -

            The ideal candidate will have data related analytics experience along with strong business acumen and communication skills.

            -

            Key Responsibilities:

            - -

            Job Requirements

            - -

            Feel free to attach professional or personal work that showcase your abilities. No cover letter required.

            -

            -

            Who We Are:

            -

            TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

            -

            -

            TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

            -

            -

            -

            Our Total Rewards Package
            Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

            -

            -

            Additional Information:
            We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

            Colleague Development
            If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

            -

            Training & Onboarding
            We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

            -

            -

            Interview Process
            We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

            -


            Accommodation
            Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

            We look forward to hearing from you!

            -

            -

            Language Requirement:

            -

            N/A.

            ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Manager-Analytics-and-Insights---12-month-STA_R_1355766-1?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-12T21:11:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/337370350-manager-analytics-and-insights-12-month-sta-at-td-bank-group,,expired,2024-08-08T20:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b3868465-8a2b-4e09-a5ec-49e2fc7210f8,299470132,BMO Financial Group,Manager Stress Testing Analytics,on_site,"Ontario, Canada",2024-01-08T06:25:03.143Z,"
            -

            Application Deadline:

            02/09/2024

            -

            Address:

            100 King Street West

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            The team is expanding, and we are hiring for two additional Manager, Stress Testing Analytics reporting to Senior Manager Credit Risk Stress Testing. You will be involved with monthly stress tests at the enterprise level and where applicable with Enterprise-Wide Stress Testing & OSFI mandated Macroeconomic Stress Testing. Ideal candidate has experience in Stress Testing in financial institutions and creation of the reports to be presented to the stakeholders. The second role will be focused on working with large data sets, supporting the data generation and aggregation. You will be preparing the data for the reporting of the results. Strong communication skills, Python, PySpark, SAS, SQL and Power BI required.

            +

            Reliability Status

            -

            Knowledge of Basel Rules and methodology used in measuring Losses and Regulatory Capital, in addition to Credit Risk concepts and parameters (PD, LGD, EAD, etc.)

            -

            - Experienced in performing stress testing and scenario analysis.

            -

            - Sound understanding of macro and micro factors that impact corporate and commercial credit businesses.

            -

            - Strong understanding of banks’ balance sheets, off balance sheet items, and P&L.

            -

            - Exceptional knowledge and experience with SAS, Excel and/or VBA.

            -

            - Run stress testing models to quantify the impact of various stress scenarios on the credit risk of the banking book.

            -

            -

            -

            Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

            +

            Must be able to obtain Reliability Status through the Government of Canada (includes a background check with fingerprinting by the RCMP).

            +

            +

            Why join Sun Life

              -
            • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
            • -
            • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
            • -
            • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
            • -
            • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
            • -
            • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
            • -
            • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
            • -
            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
            • -
            • Provides specialized consulting, analytical and technical support.
            • -
            • Exercises judgment to identify, diagnose, and solve problems within given rules.
            • -
            • Works independently and regularly handles non-routine situations.
            • -
            • Broader work or accountabilities may be assigned as needed.
            • +
            • Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

            • +
            • A friendly, collaborative and inclusive culture

            • +
            • A collaborative and interactive team environment

            • +
            • Being part of our journey in developing the next greatest digital experience

            • +
            • Working together, sharing common values and encouraging growth & achievement

            -

            Qualifications:

            +

            #LI-Hybrid

            -

            Skills:

            -

            - Advanced analytical, problem solving, investigative skills, attention to detail, accuracy, self-driven, and the ability to learn quickly are critical to this position.

            -

            - Strong technical skills (financial statements, financial modeling, data manipulation, Pyspark, Python, SAS, SQL, R).

            -

            - Critical and strategic thinking.

            -

            - Strong writing skills.

            -

            - Strong interpersonal, presentation and communication skills.

            -

            - 2-3 years relevant work experience in banking or consulting environment.

            -

            Data Management

            -
              -
            • Process, as necessary, all data required to analyse the stress testing models and report results.
            • -
            • Identify gaps, if any, that exist in the data used in stress testing and recommend remediation.
            • -
            • Provide Business User Testing of new stress testing models, processes and calculations
            • -
            • Develop requirements for enhancement of existing or new stress testing tools (B3R, reporting processes, custom calculations, overlays)
            • -

            -

              +

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              -

              -

              We’re here to help

              -

              -

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              -

              -

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              -

              -

              To find out more visit us at https://jobs.bmo.com/ca/en.

              -

              -

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              -

              -

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              -
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Stress-Testing-Analytics_R230022059?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-07T19:55:09.451Z,False,0,2,141,https://talenthub.vectorinstitute.ai/jobs/299470132-manager-stress-testing-analytics-at-bmo-financial-group,,expired,2024-01-08T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -ae6cadbe-a47d-4a07-819c-887eeb4bb9da,304659716,Scotiabank,"Sr. Analyst, Reporting & Insights",on_site,Canada : Ontario : Toronto,2024-02-05T16:26:02.679Z,"

              -

              -

              -

              -

              Requisition ID: 192775

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Purpose

              -

              -

              Contributes to the overall success of the Omni Channel Development team, taking effective ownership of developing data integration strategies, and creating various reporting streams that generate value-added actionable insights informing Retail Banking business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

              -

              -

              The Sr. Analyst, Reporting & Insights, will play a key role in supporting the expansion of our reporting framework, improving our analytical processes, and sharing insights to multiple stakeholders. Responsible for delivering value-added analytics aimed at creating sustainable business growth focusing on reporting, Insights and data visualization.

              -

              -

              -

              Accountabilities

              -

              -
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

              • Designing and creating reports, using data to analyze and improve our understanding of branch staff and customer behaviours, and monitoring the impact of strategic decisions and initiatives.

                • Design and develop new reports to support management including but not limited to - visualization tools such as Tableau & PowerBI, complex data and logic tools, SAS, SQL, and self-service dashboards.

                • Analyze data and evaluate results, identify emerging business issues, and prepare strategic recommendations for management.

                • Continuously acquire and enhance knowledge of business/product strategies, portfolio management principles, branch processes and procedures, regulatory requirements, and advanced analytical tools/methodologies in order to best provide business solutions.

                • Validating data extraction to ensure accuracy and accountability of reporting and insights.

              • Automates any recurring reports and visualizations to support key areas of the business

              • Supports the Senior Manager in the development, execution and management of reporting suites.

              • Leads the automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of analysis.

              • Synthesize multiple data sources and research insights that capture human insights, convey ideas, and provoke new growth opportunities.

              • Present research insights that are actionable, compelling, and connected to the business strategy.

              • Partner with broader team members as subject matter expert to support enterprise business program priorities and strategic objectives.

              • Perform automation of data extraction, transformation and reporting processes to increase efficiencies.

              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

              • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk

              • Champions a high performance environment and contributes to an inclusive work environment.

              • -
              -

              -

              -

              Education / Experience

              -

              -
              • Required - University degree in Business Analytics, Statistics, Mathematics, Finance, Computer Science, Business Management or a related discipline.

              • Advanced SAS and/or SQL experience. Python/R are also preferred.

              • Expertise in data visualization tools such as Power BI

              • Excellent mathematical, analytical and problem-solving skills and ability to interpret complex data, and be able to conclude meaningful insights.

              • Excellent business acumen and strategic thinking skills.

              • Excellent communication and presentation (written and verbal) is essential.

              • Understanding of Canadian retail banking.

              • Collaborative team player, Flexible, motivated, and results oriented.

              • Curious and passionate about data, data visualization and introducing automation.

              • Self-starter, with the ability to work well both independently and with teams and must be comfortable working in an environment with tight deadlines and multiple priorities.

              • -
              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Analyst%2C-Reporting-&-Insights-ON-M5C2W1/577948317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,6,39,https://talenthub.vectorinstitute.ai/jobs/304659716-sr-analyst-reporting-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Analyst%2C-Reporting-&-Insights-ON-M5C2W1/577948317/,expired,2024-02-05T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -355dfc30-507a-4a46-a114-b6ca8e4647c5,303711386,Scotiabank,"Senior Analyst, Unsecured Lending Analytics, Client Solutions - Tangerine",on_site,Canada : Ontario : Toronto,2024-02-01T16:26:02.308Z,"

              -

              -

              Requisition ID: 192009

              -

              Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

              -

              -

              As Canada’s leading digital bank, Tangerine technology is at the heart of everything we do. We have redefined what digital banking is, and we continue to evolve to tackle any opportunity and face every challenge through progressive technology and the power of collaboration.

              -

              -

              Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

              -

              -

              What you will be doing:

              -

              -

              As the Senior Analyst, you will support the Senior Manager, Risk Operations Oversight and Performance and the overall Clients Solutions Team in identifying, analyzing and summarizing critical risk and collections information across Tangerine and the bank’s Enterprise Data Warehouse (EDW).

              -

              -

              Is this role right for you? In this role, you will:

              -

              -
              • Develop and maintain the monthly Collections Dashboard for review by senior management.
              • Develop and maintain the weekly/monthly advisors scorecard for review of Collections operations teams and senior management.
              • Provide key access to data via SQL/SAS/Python and other data retrieval techniques.
              • Identify data sources, and develop process required for the preparation of standard reports.
              • Assist in providing operational insights to improve collections performance. Analysis will encompass portfolio reporting and monitoring, operational strategy performance assessment, as well as Advisors KPIs.
              • Support for strategy, product and analysis teams as required.
              • Support the development and implementation of credit risk and collections plans and provide insight to the management team through ad hoc requests, projects and initiatives.
              • Cross-train and share credit risk and collections knowledge with team members to foster a strong risk discipline environment across Tangerine.
              • Act as the liaison between Clients Solutions, GRM and Collections teams in relation to Risk and Collections reporting and Dashboard production to ensure consistency across the bank.
              • Represent Tangerine on special projects, working with other departments to contribute to the success of the Clients Solutions Team. Automate the manual processes wherever possible.
              • +

                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                +

                +

                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                +

                +

                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                +

                +

                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                +

                +

                Salary Range:

                76,000/76 000 - 125,000/125 000

                +

                Job Category:

                Advanced Analytics

                +

                Posting End Date:

                30/11/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Data-Analytics_JR00088982?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-04T12:36:02.836Z,False,0,2,102,https://talenthub.vectorinstitute.ai/jobs/289139832-manager-data-analytics-at-sun-life-financial,,expired,2023-11-20T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1e12bee2-91ac-4625-ba75-236bbfae09f6,290487717,NVIDIA,Developer Advocate - Deep Learning,full,Canada,2023-11-23T21:03:21.486Z,"

              NVIDIA software powers today's breakthroughs in deep learning! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the deep learning software stack and ecosystem! This role will craft the fundamental technical content educating developers how to use deep learning features through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA Deep Learning platform. Do you appreciate the value of a well-done design guide? Do you watch how-to tutorial videos next to your command-line interface? If so, we'd like your help empowering developers across deep learning training and inference.

              +

              +

              What You'll be Doing:

              +
                +
              • Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content
              • +
              • Deliver training material to external technical audiences through developer.nvidia.com and developer events
              • +
              • Be the evangelist and champion for Deep Learning among the NVIDIA developer community
              • +
              • Help channel customer usability feedback from the external community and partner with internal teams to improve NVIDIA products
              • +
              • Provide code guidelines to deep learning developers by implementing samples and proof of concept applications
              -

              -

              Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

              -
              • University Degree with a business, analytical, mathematical or statistical focus (Economics, Finance, Accounting or Statistics)
              • Minimum of 6 months to 1 year of experience working with data analytics
              • Knowledge of Credit Risk and Collections strategy is an asset
              • Strong technical solution management experience and skills
              • Strong analytical skills including SQL/SAS/Python
              • Strong skills in reporting tools such as Tableau
              • +

                What We Need to See:

                +
                  +
                • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
                • +
                • 3+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company
                • +
                • 1+ year of experience with deep learning or machine learning
                • +
                • Strong knowledge of Python or C/C++, programming techniques, and software development
                • +
                • Strength presenting to technical audiences and generating content for developers
                • +
                • Prior success juggling multiple projects at a time
                -

                -

                What's in it for you?

                -
                • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
                • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
                • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
                • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
                • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
                • +

                  Ways to Stand Out from the Crowd:

                  +
                    +
                  • Master's degree from a leading university in an Engineering or Computer Science related field
                  • +
                  • 2+ years of machine learning or deep learning experience
                  • +
                  • Advanced knowledge of modern Deep Learning software architecture and applications
                  • +
                  • Existing public facing technical content or forum contributions
                  • +
                  • Familiarity with TensorFlow, PyTorch, or other Deep Learning Frameworks
                  • +
                  • Direct development experience with NVIDIA software and SDKs
                  -

                  -

                  *Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

                  -

                  -

                  Location(s): Canada : Ontario : Toronto

                  -

                  At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

              ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Analyst%2C-Unsecured-Lending-Analytics%2C-Client-Solutions-Tangerine-ON-M2H0A1/577836017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,3,53,https://talenthub.vectorinstitute.ai/jobs/303711386-senior-analyst-unsecured-lending-analytics-client-solutions-tangerine-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Analyst%2C-Unsecured-Lending-Analytics%2C-Client-Solutions-Tangerine-ON-M2H0A1/577836017/,expired,2024-02-01T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -baf616f6-d85d-4fbd-8b6e-457d59c33b92,303762891,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2024-02-01T19:22:02.694Z,"

              Req Id: 416312 

               

              At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

               

              If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
               

              Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
               

               

              -
              -
              -

              Summary

              -
              -
              -

              Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

              -

              This is an excellent opportunity for the right person to join our team and play a key role transforming the organization.  If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

              -

              Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

              -
              -
              -
              -
              -

              Key Responsibilities

              -
              -
                -
              • This is an Agile development environment, working with the latest BI visualization tools and technologies
              • -
              • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
              • -
              • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
              • -
              • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
              • -
              • Deliver on key projects and data strategies that directly support key business drivers
              • -
              • Work with and opportunity to present to various management levels
              • -
              • Maintain and expand your knowledge of BI and current technology through training opportunities
              • -
              -
              -
              -
              -

              Critical Qualifications

              -
              -
                -
              • -You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                  -
                • Business analytics / business intelligence
                • -
                • applied math,
                • -
                • computer science,
                • -
                • applied science / engineering,
                • -
                • economics/econometrics,
                • -
                • Commerce
                • -
                • management science / operations research
                • -
                • or related area
                • -
                -
              • -
              • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
              • -
              • You are highly analytical and understand the basic principles of working with large and complex data sets
              • -
              • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
              • -
              • You have the ability to work with a team towards common goals
              • -
              • You are able to manage multiple projects and priorities.
              • -
              • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
              • -
              -
              -
              -
              -

              Preferred Qualifications

              -
              -
                -
              • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
              • -
              • Experience with BI and data warehouse technologies
              • -
              • Basic working knowledge of project management steps
              • -
              -
              -

               

              Additional Information:

              Position Type: Management 
              Job Status: Regular - Full Time 
              Job Location: Canada : Ontario : Mississauga 

              Flexible work profile: Mobile
              Application Deadline: 02/09/2024 

               

              Please apply directly online to be considered for this role.  Applications through email will not be accepted.

               

              At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

               

              Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

               

              Created: CanadaON, Mississauga

               

              Bell, one of Canada's Top 100 Employers.

              ",,https://jobs.bell.ca/ca/en/job/BECACA416312EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-02-10T19:27:02.075Z,False,0,34,160,https://talenthub.vectorinstitute.ai/jobs/303762891-data-analyst-business-intelligence-at-bell-canada,BECACA416312EXTERNALENCA,expired,2024-02-01T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -3b4981e6-7275-4a50-bb52-df1c32f5d0f8,304593629,Sun Life Financial,"Manager, Analytics & Insights - (Fixed Term)",on_site,"Ontario, Canada",2024-02-05T06:44:02.340Z,"
              -

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              -

              -

              -

              Job Description:

              -

              This is a 12-Months contract position.

              -

              The Canadian Operations Workforce Management team is looking for a versatile leader to work on the implementation and maintenance of forecast models in a fast-paced operational environment. As a member of a dynamic and committed team of Workforce Management, the successful candidate will act as an expert and developer on a variety of forecasting projects and initiatives.

              -

              We are looking for a team leader with a strong quantitative background, a true passion for working with data, and more than 5 years of practical experience in building and implementing volume and staff forecast models.

              -

              Organization and attention to detail is key in this role, as the role provides analysis and generating forecasts used for operational decision making and continuous improvement initiatives for the senior leaders within Canadian Operations. The role directly supports multiple lines of business in Sun Life Financial Canada, by enabling a consistently high quality experience for our customers.

              +

              With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to unprecedented growth, our company is growing fast. If you're creative and have a genuine passion for technology, we want to hear from you.

              +

              The base salary range is 75,000 CAD - 149,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

              +

              You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

              +

              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Developer-Advocate---Deep-Learning_JR1975199,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-07T21:04:00.000Z,False,0,16,140,https://talenthub.vectorinstitute.ai/jobs/290487717-developer-advocate-deep-learning-at-nvidia,,expired,2023-11-23T21:03:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +306abe1c-bc88-4f72-9391-ac0934546bde,286004243,NVIDIA,"Research Engineer, Simulation Technology - New College Grad 2023",on_site,"Toronto, ON, Canada",2023-11-06T19:33:55.817Z,"

              NVIDIA Toronto AI Lab is looking for exceptional researchers and research engineers to join our 3D reconstruction and simulation team. Our team is passionate about pushing the boundaries of research, while focusing on real-world problems and making an impact on the NVIDIA products. We are particularly interested in advancing the methods for reconstructing simulation environments from captured sensor data, with application in Autonomous Driving, Robotics, and more. You will work closely with a group of high-skilled and motivated researchers that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes 3D computer vision, reconstruction, generative AI and so forth.

              -

              What will you do?

              +

              What you will be doing:

              -

              What do you need to succeed?

              +

              What we need to see:

              -

              What will be nice to have?

              +

              Ways To Stand Out From a Crowd:

              -

              What’s in it for you?

              -

              Great Place to Work® Certified in Canada and the US - 2022

              -

              Great Place to Work® award for Best Workplaces for #HybridWork

              -

              2022 Named “Best Places to Work” by Glassdoor - 2021

              -

              Canada Award for Excellence for Mental Health at Work

              -

              2021 Flexible hybrid work model including in-country work-from-home if you prefer.

              -

              -

              #LI-Hybrid #LI-remote

              -

              -

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              -

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              -

              -

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              -

              -

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              -

              -

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              -

              -

              Salary Range:

              76,000/76 000 - 125,000/125 000

              -

              Job Category:

              Advanced Analytics

              -

              Posting End Date:

              11/02/2024
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Analytics---Insights----Fixed-Term-_JR00091842?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-12T06:49:02.600Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/304593629-manager-analytics-insights-fixed-term-at-sun-life-financial,,expired,2024-02-05T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e0595660-8e96-4471-a366-4aaf7bc56f96,250676775,TD Bank Group,Senior Analyst,on_site,"Toronto, ON",2023-07-24T15:53:01.655Z,"
              -

              Hours

              -
              37.5
              -

              -

              Workplace Model

              -
              Hybrid
              -

              -

              Department Overview

              -
              -

              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

              -

              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

              -

              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

              -
              -

              -

              Job Details

              -
              -

              The Counterparty Credit Risk (CCR) Model Development group at TD is responsible for the development, maintenance, and calibration of CCR models. We frequently interact with various groups within the bank, including Technology, Market Risk Control (MRC), Capital Market Risk Management (CMRM), Model Validation (MV), etc. We are looking for a strong candidate to join the group as a Senior Advanced Modeling Analyst. The successful candidate will work primarily within the CCR team of Market risk Model Development to help develop new methodologies and models for the measurement of Counterparty Credit Risk, as well as maintaining and improving methodologies of existing models in production for CCR and xVA measurement as well as regulatory capital reporting.
              Accountabilities

              -
                -
              1. Develop new modeling methodologies used to measure counterparty credit risk
              2. -
              3. Perform ongoing maintenance and ad-hoc investigations of models already deployed in the existing CCR system
              4. -
              5. Interact with other business partners (e.g., Technology, MRC, CMRM, MV) to investigate and resolve modeling issues
              6. -
              7. Communicate model risk and provide full transparency around the model assumptions and usage with various stakeholders
              8. -
              9. Contribute to other one-time projects of the group
              10. -
              -
              -

              -

              Job Requirements

              -
                -
              • Solid technical training with a graduate degree in science or engineering such as physics, chemistry, mathematics/statistics, computer science/engineering, Master of Mathematical Finance, or a similar discipline where mathematical modeling techniques are systematically studied and applied, such PDE, econometrics, stochastic processes and simulation.
              • -
              • Strong programming skills in one or more widely used languages such as C/C++/C#, VBA, python, Matlab, R, etc.
              • -
              • Knowledge of fundamental concepts and techniques in quantitative finance or strong interests in financial markets and associated modeling techniques -
              • -
              • Must be a team player with a focus on getting projects done effectively and efficiently
              • -
              • Good written and verbal communication skills is a definite asset
              • -
              • Prior knowledge or experience in quantitative finance and counterparty credit risk is an asset but not required
              • -
              -

              -

              Company Overview

              -
              -Our Values
              At TD we're guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              -

              Making Your Well-being a Priority
              A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they're more likely to do their best.

              -

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              -

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              -

              Who We Are
              TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              -
              -

              -

              Inclusiveness

              -
              -Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              -

              How We're Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              -

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              -

              We look forward to hearing from you!

              -
              -

              -
              ",,https://jobs.td.com/en-CA/jobs/18784812/senior-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-03T15:58:02.953Z,False,0,11,53,https://talenthub.vectorinstitute.ai/jobs/250676775-senior-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18784812/senior-analyst-toronto-ca/,expired,2023-07-24T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -f88707bf-8faf-4a6e-a0e0-9e1d28bbe6f8,266969904,Scotiabank,"Sr. Manager, Delivery, Enterprise Data & Analytics Platform Transformation - CID&A",on_site,Canada : Ontario : Toronto,2023-09-04T16:22:04.576Z,"

              -

              +

              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and have a passion to impact the world? If so, apply today!

              +

              The base salary range is 123,750 CAD - 338,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

              +

              You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Research-Engineer--Simulation-Technology---New-College-Grad-2023_JR1971874,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-06T19:34:00.000Z,False,0,13,172,https://talenthub.vectorinstitute.ai/jobs/286004243-research-engineer-simulation-technology-new-college-grad-2023-at-nvidia,,expired,2023-11-06T19:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +0ba417c1-6aa3-40e1-b178-32d9dc8d521e,295867487,Scotiabank,Velocity - Global Risk Management Internship/Co-Op - Summer 2024,on_site,Canada : Ontario : Toronto,2023-12-18T16:26:02.074Z,"

              -

              Requisition ID: 184122

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              Purpose:

              -


              Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen! As a member of the Customer Insights, Data & Analytics (CIDA) team, the Senior Manager of Program Delivery, Enterprise Data & Analytics Platform Transformation is responsible for the successfully delivery of migration programs to cloud, supporting the design and execution of program strategy, governance and reporting.

              -

              A critical element of success for this role is the ability to foster trusted partnerships across all levels of the organization, a clear and concise communicator, with a consistent focus on accelerating maximum value to advance data and analytics across the Enterprise. The incumbent will have the opportunity to:

              +

              Requisition ID: 189981

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -
              • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.
              • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
              • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
              • Learn from deep subject matter experts and industry leaders through mentoring, networking, on the job coaching and bespoke data, analytics and cloud training.
              • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team. The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.
              • -
              -


              Accountabilities:

              +

              Velocity – Global Risk Management Internship/Co-Op – Summer 2024

              +

              Term: May-August 2024

              +

              Application Deadline: 01/26/2024

              -
              • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
              • Provide effective and pragmatic program management, delivery and storytelling expertise to simplify program messaging and narratives.
              • Responsible for establishing and managing projects’ integrated plan in collaboration with project delivery team. Identify key stakeholders and involve subject matter experts as required.
              • Create and manage Risks, Actions, Issues, Decisions (RAID) log and help drive decision-making and accountability by supporting cross-functional executive and senior management forums to align on opportunities, challenges and required actions.
              • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
              • Establish and maintain the overall program roadmap and related assets, processes, methodologies and accelerators.
              • Build strong stakeholders’ relationships, ensure that projects success and customer benefits are aligned to overall program goals and expectations.
              • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
              • Contribute to the design, build and ongoing improvement of effective governance, project management, reporting & communications processes, templates, and tools.
              • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.
              • Effectively communicate and build rapport with team members, stakeholders and partners across both technology and business functions.
              • Navigate complex organizational and stakeholder challenges, constraints, and roadblocks to effectively achieve the program’s objectives.
              • Maintain a culture of exceptional customer service and cultivate an internal brand as a leading program advisor.
              • Foster an environment of continuous personal growth.
              • +

                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                +

                +

                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                +

                +

                What is Global Risk Management?

                +

                +

                Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to an interest in capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                +

                +

                About the GRM, Business Banking Credit Risk Stream:

                +

                The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                +

                +

                About the GRM, Enterprise Risk Stream:

                +

                GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                +

                +

                About the GRM, Market Risk Stream:

                +

                The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                +

                +

                About the GRM, Retail Credit Risk Stream:

                +

                The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                +

                +

                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                +
                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
                • You are currently working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Finance, Economics, Risk Management, or related financial discipline
                • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices
                • Knowledge of Python, SQL, VBA, MS Office is an asset
                • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner
                • Attention to detail with a strong ability to multi-task while maintaining a high work standard
                • Demonstrated flexibility in adapting to constantly changing environments
                -


                Requirements & Qualifications:

                -

                -
                • University Degree in business, engineering, or technology (MBA an asset), or equivalent.
                • Minimum 3 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
                • Strong project management skills and product owner mindset with excellent track record managing projects/programs with high complexity and dealing with multiple stakeholders.
                • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
                • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context.
                • Excellent written, verbal and presentation skills in English; ability to summarize complex ideas in very simple but accurate terms. Spanish is an asset.
                • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
                • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
                • Ability to identify, manage and collaborate with multiple stakeholders across a global footprint.
                • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
                • Knowledge of risk management environment, standards and regulations within a financial services organization.
                • Ability to adapt and pivot within a team environment to changing program requirements.
                • Strong organizational skills and meticulous attention to detail.
                • Thorough working knowledge of Microsoft Office suite; superior PowerPoint and Excel skills (Confluence, JIRA and SharePoint skills are an asset).
                • Knowledge of cloud data platforms, capabilities, and trends is an asset (but not required).
                • +

                  +

                  What’s in it for you?

                  +
                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                  +

                  +

                  How do I apply?

                  +

                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                  +

                  +
                  1. Complete your PLUM Profile here and save as a screenshot.
                  2. Complete a short one-way video interview here.
                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                  4. +

                  -

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Delivery%2C-Enterprise-Data-&-Analytics-Platform-Transformation-CID&A-ON-M5H1H1/573631817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/266969904-sr-manager-delivery-enterprise-data-analytics-platform-transformation-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Delivery%2C-Enterprise-Data-&-Analytics-Platform-Transformation-CID&A-ON-M5H1H1/573631817/,expired,2023-09-04T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -1162301e-a47a-4609-9619-4911fe72e124,266742769,Scotiabank,"Manager, Forecasting Models - Retail & Small Business (Contract)",on_site,Canada : Ontario : Toronto,2023-09-03T16:22:02.362Z,"

              -

              -

              -

              -

              Requisition ID: 181674

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Overview:
              The world is changing faster than ever and so are we!

              -

              -

              “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

              -

              -

              Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

              +

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              -

              What Are We Looking For?
              We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-Op-Summer-2024-ON/576594317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,1,77,https://talenthub.vectorinstitute.ai/jobs/295867487-velocity-global-risk-management-internship-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-Op-Summer-2024-ON/576594317/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +8cb7474e-8028-4eb1-b3d2-c176f0770183,296508144,Scotiabank,Wealth Management - Data Analytics Intern/Co-op Summer 2024,on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.772Z,"

              -

              To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

              -

              We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

              -


              Make an Impact
              As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

              -

              You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

              -

              Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

              +

              Requisition ID: 190033

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              Is This Role Right for You?

              -
              • You believe, first and foremost, in always doing the right thing and doing things the right way
              • You are both deeply curious and highly pragmatic
              • You are comfortable with ambitious but realistic goals and are committed to achieving them
              • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
              • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
              • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
              • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
              • You have a genuine love, passion and talent for programming, data, and predictive modeling
              • You are committed to quality in everything you do – statistically, process and governance wise
              • You look forward to sharing your insights through high-quality verbal & written communications
              • You are professional, motivated AND FUN. We mean it.
              • -
              +

              Term: May – August 2024

              +

              Application deadline: 01/26/2024

              -

              Sample projects that you might work on include:

              -
              • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
              • Prepare attribution and/or stock-flow analysis of product portfolios
              • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
              • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
              • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
              • Identify, promote and lead process improvements for model development and monitoring
              • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
              • -
              +

              There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              +

              +

              Is this role right for you? In this role, you will:

              -

              What Do You Need to Succeed?
              General

              -
              • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
              • A demonstrated history of analytic problem solving and sound judgment
              • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
              • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
              • +
                • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                • Apply analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                • Make impact by constantly identifying and implementing process improvements
                +

                +

                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                -

                Technical

                -
                • Strong fundamental understanding of statistics
                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                • Knowledge about credit risk models / scorecards
                • +
                  • You are currently enrolled in post-secondary education.
                  -

                  -

                  Nice to Have’s

                  -
                  • Proficient reading, writing and speaking Spanish
                  • Experience with credit risk forecasting and/or financial reporting frameworks
                  • Experience developing credit risk models / scorecards
                  • Experience working within loss forecasting, provisioning, IFRS 9 or CECL frameworks
                  • Domain expertise with any retail & small business banking products and/or risk management practices
                  • FRM, CFA credentials
                  • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                  • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                  • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                  • +
                    • You have strong written/verbal communication and project management skills.
                    • +You have knowledge/experience in:
                      • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                      • Interpreting and consolidating large amounts of information in actionable recommendations.
                      • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                      • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                      • Visualization tools like PowerBI, Tableau or Qlikview
                      • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                      • Making sense of data, creating reports, and communicating KPI’s

                    -

                    What’s in It for You?

                    -
                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                    • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                    • -
                    +

                    How do I apply?

                    +

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. Complete short one-way video interview here
                    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
                    4. +
                    +

                    +

                    **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

                    +

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-%28Contract%29-ON-M5C2V9/572773917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/266742769-manager-forecasting-models-retail-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-%28Contract%29-ON-M5C2V9/572773917/,expired,2023-09-03T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bbb756a8-41c4-4b01-b137-f819b9fe11c6,264027711,Clearpath,Perception Developer,on_site,"Ontario, Canada",2023-08-27T02:24:01.951Z,"

              Description

              -

              Position: Perception Developer
              Location: Based in Kitchener-Waterloo, Ontario
              Job Type: Full-Time Permanent
              Experience: 1-5 Years Relevant Work or Academic Experience
              Education: Graduate Degree in Related Field
              Division: OTTO Motors

              -

              About OTTO™ Motors (Division of Clearpath Robotics)

              -

              OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

              -

              About the Job

              -

              We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer position. This person will help develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, object detection and tracking, machine learning, computer vision and more.

              -

              The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

              -

              Your primary responsibilities will be:

              -
                -
              • Creating robust innovative solutions to the problems of robotic perception
              • -
              • Developing custom perception algorithms and systems related to localization and mapping, object detection and tracking, machine learning, computer vision, and more
              • -
              • Evaluating new sensing technology and robotic platforms
              • -
              • Assisting with concept development for new products and projects
              • -
              • Supporting the deployment and testing of robotic systems
              • -
              -
              • Staying up to the date with the latest developments from academia and industry
              -

              Skills and experience:

              -
                -
              • Graduate degree in engineering/CS or a related field, with applicable background.
              • -
              • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
              • -
              • Strong software development skills in modern C++ and Python.
              • -
              • Understanding of software development workflows, life cycles and development methodologies and tools.
              • -
              • Hands-on experience with real world autonomous systems.
              • -
              -

              Bonus points for:

              -
                -
              • Experience writing efficient, high performance code.
              • -
              • Experience with ROS, Gazebo, OpenCV and PCL.
              • -
              • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
              • -
              • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
              • -
              • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
              • -
              -

              Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

              ",,http://jobs.jobvite.com/clearpath/job/o8oVnfwy,feed-importer@jobboard.io,,,,2023-09-14T18:10:00.000Z,False,0,9,55,https://talenthub.vectorinstitute.ai/jobs/264027711-perception-developer-at-clearpath,,expired,2023-08-27T02:24:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -21f88ce5-74b5-4390-a6d4-3941f2934d12,260749043,TD Bank Group,Senior Business Insights Analyst Fraud Analytics,on_site,"Toronto, ON",2023-08-17T15:53:02.889Z,"
              -

              Hours

              -
              37.5
              -

              -

              Workplace Model

              -
              Hybrid
              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Summer-2024-ON/576745117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,3,196,https://talenthub.vectorinstitute.ai/jobs/296508144-wealth-management-data-analytics-intern-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Summer-2024-ON/576745117/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a77611e1-d225-477b-8c7a-899b7991efee,298833073,TD Bank Group,AML Advisory Analyst Intern/Co-op,on_site,"Toronto, ON",2024-01-04T16:28:14.124Z,"
              +

              Campus Role Type

              +
              Internship/Co-Op and Summer Opportunities

              -

              Pay Details

              -

              We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

              +

              Start Date

              +
              Summer

              Department Overview

              -

              What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

              -

              We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

              +

              The TD Bank Group (TD) Global AML Compliance Department is accountable for establishing TD’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TD businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TD operates. This includes ensuring that businesses are aware of the legislation under which they are governed, and providing advice and support as required. The team is also accountable for promoting regulatory compliance by developing and maintaining AML compliance programs, including relevant training, carrying out independent oversight monitoring and meeting reporting requirements.

              +

              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

              +

              Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

              +
                +
              • Leadership talks with key Leaders from across the organization
              • +
              • Lunch and Learns on topics such as Innovation
              • +
              • Diversity and Inclusion and Personal Branding and so much more
              • +

              Job Details

              -

              About this Role

              -

              As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

              -

              In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

              -

              As a Senior Business Insights Analyst, you will:

              +

              The Canadian Banking and Global Wealth & Insurance AML team is looking for someone who is interested in a “big picture”, cross-functional governance and monitoring role. The AML Advisory Analyst will support the development and maintenance of a 2nd Line oversight program for the implementation of AML/ATF and sanctions controls in the business lines supported by the Canadian Banking and Global Wealth & Insurance (CBGWI) AML team. The AML Advisory Analyst will execute controls testing procedures, on behalf of the Head of AML, CBGWI, work with business-facing relationship managers on the CBGWI AML team to assess the effectiveness of AML/ATF and sanctions controls, and identify potential areas of improvement for the first line AML/ATF/Sanctions program.

              +

              Other key responsibilities include:

                -
              • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
              • -
              • Develop analysis to illustrate business trends and identify areas of business opportunities
              • -
              • Produce insights and recommend business actions to align with strategy and/or solve business problems
              • -
              • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
              • -
              • Execute on data requests accurately and within a timely manner
              • -
              • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
              • -
              • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
              • -
              • Provides day-to-day support and delivery of analytics
              • -
              • Work independently as the senior analyst/subject matter expert and may coach and educate others
              • -
              • Considered an authority within a given area
              • -
              • Oversee and/or independently perform tasks from end to end
              • +
              • Work with members of the CBGWI AML team to ensure key AML/ATF and sanctions controls are designed and operating effectively on an on-going basis.
              • +
              • Evaluations of controls deficiencies and non-compliance to identify root cause in order to facilitate the development of effective action plans.
              • +
              • Develop strong relationships and work collaboratively with business partners who are responsible for providing the information that feeds into the monitoring program
              • +
              • Effectively identify emerging risks through advanced analysis of high-volume and complex data that require further consideration or escalation
              • +
              • Contributes to the reporting of program results, trends, themes, and emerging risks, as delivered by the Head of AML – Canadian Banking and Global Wealth & Insurance (CBGWI)
              • +
              • Collaborates with other members of the CBGWI AML team to foster a “culture of compliance” within the business units.

              Job Requirements

              -
              -What can you bring to TD?

              -

              Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              -
                -
              • SQL and Python skills are a strong asset to the role
              • -
              • Undergraduate degree or technical certificate
              • -
              • Five (5) or more years relevant experience
              • -
              -
              +
                +
              • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
              • +
              • A curious and inquisitive mindset, with a proven ability to work effectively in a cross-functional, fast-paced and evolving environment.
              • +
              • Perform data manipulation and apply analytic techniques to derive insights from complex data into reports and presentations for dissemination to an executive audience
              • +
              • Ability to corroborate structured and non-structured data to tell a coherent and insightful story.
              • +
              • Ability to grasp new concepts/information to facilitate effective risks identification and controls evaluation.
              • +
              • Excellent business acumen and good understanding of risk and controls evaluation processes such as those for financial reporting or operations.
              • +
              • Strong critical thinking, organizational and problem solving skills
              • +
              • Superior writing skills with the ability to draft superior quality assessments/reports, policies, procedures and business correspondence
              • +
              • Proactive and motivated, with demonstrated consensus building skills
              • +

              Additional Information

              -
              #tdcybersecurity #LI-Post
              +
                +
              • This position is a 4-month work term and will commence May 6th – August 30th 2024. +
              • +
              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
              • +
              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
              • +
              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
              • +
              • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
              • +

              Company Overview

              Our Values
              At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              -

              Making Your Well-being a Priority
              A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

              +

              Making Your Well-being a Priority
              A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              -

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              -

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              +

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              +

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
              TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              Inclusiveness

              -Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              -

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              -

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              +Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              +

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              +

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              We look forward to hearing from you!

              -
              ",,https://jobs.td.com/en-CA/jobs/18915011/senior-business-insights-analyst-fraud-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-17T03:41:54.628Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/260749043-senior-business-insights-analyst-fraud-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18915011/senior-business-insights-analyst-fraud-analytics-toronto-ca/,expired,2023-08-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -da6fe22a-f686-4d36-843d-5aa0fa77dc56,260845502,Borealis AI,Senior Researcher,on_site,"Ontario, Canada",2023-08-18T02:19:03.255Z,"
              +
              ",,https://jobs.td.com/en-CA/jobs/19647043/aml-advisory-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-29T18:56:00.000Z,False,0,2,103,https://talenthub.vectorinstitute.ai/jobs/298833073-aml-advisory-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19647043/aml-advisory-analyst-intern-co-op-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +83b0feac-cdd6-4bf8-82ef-034bfba8f685,296401066,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-12-21T06:38:01.297Z,"
              +

              What\'s the opportunity?

              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

              -

              Your responsibilities include:

              -
                +
              +
              +

              Your responsibilities include:

              +
              • Developing novel AI solutions that facilitate impactful products;
              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
              • Working with the development team to transfer research work into production;
              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
              • -
              -

              You’re our ideal candidate if you have:

              -
                +
              +
              +
              +

              You’re our ideal candidate if you have:

              +
              • A passion for solving open problems using data and algorithms;
              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
              • Ability to formulate and drive a research project independently without close supervision;
              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
              • -
              • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
              • -
              • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
              • -
              -

              What’s in it for you?

              +
              +
              +
              +

              What’s in it for you?

              +
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • @@ -32535,346 +32561,299 @@ da6fe22a-f686-4d36-843d-5aa0fa77dc56,260845502,Borealis AI,Senior Researcher,on_
              • Ability to make a difference and lasting impact from a local-to-global scale.

              About Borealis AI

              -

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              -

              Inclusion and Equal Opportunity Employment

              -

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

              -
              ",,https://www.borealisai.com/careers/?gh_jid=6892611002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-09-17T03:46:26.081Z,False,0,6,56,https://talenthub.vectorinstitute.ai/jobs/260845502-senior-researcher-at-borealis-ai,,expired,2023-08-18T02:19:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -2e0e9d6c-2752-4d53-9bb9-5c2730f9857f,260846642,TELUS,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2023-08-18T02:23:02.628Z,"
              -
              -

              Description

              -
              -

              Join our team and what we\'ll accomplish together

              -

              -

              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

              -

              -

              We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

              -

              -

              Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

              -

              -

              You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI. As a Senior Machine Learning Engineer on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

              -

              -

              Here\'s how

              -
                -
              • Lead the iterative development, validation, and deployment of AI/ML models
              • -
              • Collaborate on end-to-end automation efforts required to bring models to production
              • -
              • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
              • -
              • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
              • -
              • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
              • -
              • Develop re-usable code aimed at delivering on future goals faster and more reliably
              • -
              • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
              • -
              • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
              • -
              -
              -
              -
              -

              Qualifications

              -
              -

              What you bring

              -

              -
                -
              • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
              • -
              • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ years of hands-on work and practical business experience in the above areas
              • -
              • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
              • -
              • You have advanced experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
              • -
              • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
              • -
              • You possess strong knowledge in SQL and distributed computing
              • -
              • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
              • -
              • You are well versed in software and AI development lifecycles, including ML Ops
              • -
              • You are agile and have a bias for action, removing roadblocks to get results fast
              • -
              -

              -

              Great-to-haves

              -

              -
                -
              • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
              • -
              • Experience with agile methodology and work in a start-up environment
              • -
              • GCP or other cloud certifications
              • -
              -

              -

              #LI-REMOTE #DSEjobs

              -
              ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineer-ON/573177617/,feed-importer@jobboard.io,,,,2023-09-17T03:52:18.662Z,False,0,21,74,https://talenthub.vectorinstitute.ai/jobs/260846642-senior-machine-learning-engineer-at-telus,,expired,2023-08-18T02:23:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -5c070cf5-e911-4a8a-9328-201e82b42c15,262324944,OMERS,"Senior Data Scientist, Operations Research & Machine Learning",on_site,"Ontario, Canada",2023-08-22T02:24:02.537Z,"
              -

              -

              -

              The Senior Data Scientist will join the dynamic Enterprise Data & Advanced Analytics team within Data & Technology that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Senior Enterprise Data Scientist will partner with business and corporate functions to design, develop, and scale Optimization/Operations Research and Machine Learning products.

              -

              -

              Reporting to the Director of Enterprise Data Science, you will work closely with our Businesses, Corporate Functions, Enterprise Architecture, Business Relationship Management, Cyber, Data Engineering, Data Governance, and Strategy teams to deploy new capabilities following leading product management and engineering methodologies. You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio and elevate the understanding & application of these capabilities across the company.

              -

              -

              As a member of this team, you will:

              -
                -
              • Design and implement Optimization & Machine Learning solutions to improve decision-making processes
              • -
              • Perform data preprocessing, feature engineering, and selection to ensure the quality and relevance of input data for modeling and, if relevant, optimization tasks
              • -
              • Drive the implementation of corporate/strategic objectives via AI/ML driven projects and discovering opportunities
              • -
              • Lead projects from experiments and hands-on solutioning through to production
              • -
              • Build and maintain NLP models using state of the art techniques like transformers for the purposes of classification, sentiment analysis, entity extraction, and more
              • -
              • Mentor junior data scientists and the data science community at large and participate in continuous self-learning and mentorship
              • -
              • Hands on creation and oversight of models, conducting model training, validation, testing and ongoing data and model integrity maintenance
              • -
              • Provide guidance to the team by drawing on the understanding of business and technology objectives, available technology functionality, business impact and resource capacity
              • -
              • -Remain on the “leading edge” of emerging data, optimization and AI technologies and techniques to identify and implement novel tools and techniques and their application to new use cases and deployment opportunities -
              • -
              • Drive a culture of innovation and AI by taking initiatives for activities such as lunch and learns, hackathons, paper readouts, etc.
              • -
              -

              -

              To succeed in this role, you have:

              -
                -
              • Minimum eight (8) years’ experience working in an Operations Research/ Machine Learning environment
              • -
              • 3-5+ years of experience leading and delivering enterprise-scale operations research/ML projects and facilitating collaboration across teams
              • -
              • Master\'s or PhD degree in Mathematics, Operations Research, Computer Science, or a related field, ideally with a focus on machine learning or optimization, or a combination of both
              • -
              • Proven track record of designing, implementing, and deploying machine learning models and/or optimization solutions to address real-world problems
              • -
              • Proficiency in programming languages such as Python, along with experience using machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
              • -
              • Strong understanding of various optimization techniques, including linear programming, integer programming etc. along with optimization tools (e.g., Gurobi, CPLEX) is a huge plus
              • -
              • Solid knowledge of statistical analysis and experimental design to evaluate model and algorithm performance effectively
              • -
              • Recent experience with distillation of NLP tasks from larger models to task specific smaller models is an asset
              • -
              • Effective communication skills to convey complex technical concepts to both technical and non-technical audiences
              • -
              • Experience with framework such as TensorFlow, Keras, PyTorch, and others
              • -
              • Proficiency with git
              • -
              • Experience within Pensions, Investments and Commercial Real Estate sectors along with logistics, supply chain is an asset
              • -
              • Hands-on experience with big data systems such as Spark, Hadoop, Hive and ideally cloud platforms such as Azure, GCP, AWS, etc.
              • -
              • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating teams and delivering multiple projects simultaneously serving multiple stakeholders
              • -
              • The ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
              • -
              • Polished written and verbal communication and presentation skills targeted at all levels of the organization
              • -
              -

              -

              -

              -

              -

              Our story:

              -

              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

              -

              -

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              -
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Data-Scientist_JR-5287?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-09-19T02:30:03.455Z,False,0,9,36,https://talenthub.vectorinstitute.ai/jobs/262324944-senior-data-scientist-operations-research-machine-learning-at-omers,,expired,2023-08-22T02:24:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -9e736ebb-c9d4-4bad-b5de-95ae1497e817,272367540,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-21T12:28:03.501Z,"
              -

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              -

              -

              -

              Job Description:

              -

              -

              Role Summary:

              -

              Sun Life Financial is a leading international financial services organization providing a diverse range of insurance, wealth and asset management solutions to individual and corporate Clients. Canadian Group Benefits business is the largest private payer of healthcare in Canada with over 3 million members. Our goal is to help Canadians lead healthier lives through workplace benefit programs, ensure outstanding experience when they engage with Sun Life and equip them with tools to manage their health needs.

              -

              -

              GB Analytics team has a mandate to work across functions to deliver insights critical for business decisions, identify growth opportunities and use data to improve health and financial outcomes. The team collaborates closely with Canadian Data & Analytics and Enterprise Services teams.

              +
              +

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              +

              Inclusion and Equal Opportunity Employment

              +

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              +
              +
              ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-02-01T17:32:28.115Z,False,0,21,165,https://talenthub.vectorinstitute.ai/jobs/296401066-machine-learning-researcher-at-borealis-ai,,expired,2023-12-21T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +91e9ae11-8fec-4cbf-b284-ec2ff01133fb,295709689,Cohere AI,Member of Technical Staff,on_site,"Toronto, ON, Canada",2023-12-17T16:34:01.837Z,"
              +
              Who are we?
              +
              Cohere is focused on building and deploying large language model (LLM) AI into enterprises in a safe and responsible way that drives human productivity, and creates magical new ways to interact with technology and real business value. We’re a team of highly motivated and experienced engineers, innovators, and disruptors looking to change the face of technology.
              +

              +
              Our goals are ambitious, but also concrete and practical. Cohere wants to fundamentally change how businesses operate, making everyone more productive and able to focus on doing better what they do best. Every day, our team breaks new ground, as we build transformational AI technology and products for enterprise and developers to harness the power of LLMs.
              +

              +
              Cohere was founded by three global leaders in AI development, including our CEO, Aidan Gomez, who co-created the Transformer, which makes LLMs possible. Collectively, we're driven by the belief that our technology has the potential to revolutionize the way enterprises, their employees, and customers engage with technology through language.
              +

              +
              Cohere’s broader research team is world-renowned, having contributed to the development of sentence transformers for semantic search, dynamic adversarial data collection and red teaming, and retrieval augmented generation, often referred to as “RAG,” among other technological breakthroughs.
              +

              +
              We have been deliberate in assembling a team of operational leaders with industry-leading experience, with backgrounds working at the most sophisticated, demanding, and respected enterprises in the world. Cohere’s operational leaders have built, scaled, and led multi-billion product lines and businesses at Google, Apple, Rakuten, YouTube, AWS, and Cisco.
              +

              +
              The Cohere team is a collective from all walks of life, from people who left college to start businesses, to some of the most experienced people from globally renowned companies. We believe a diverse team is the key to a safer, more responsible technology, and that different experiences and backgrounds enable us to tackle problems from all angles and avoid blindspots.
              +

              +
              There’s no better time to play a role in defining the future of AI, and its impact on the world.
              +

              +
              Why this role?
              +
              Design and implement novel research ideas.
              +

              +
              Ship state of the art models to production.
              +

              +
              Deep connections to academia.
              +

              +
              We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
              +

              +
              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
              +
              +

              As a Member of Technical Staff, you will:

              +
                  +
                • Design, train and improve upon cutting-edge models
                • +
                • Develop new techniques to train and serve models safer, better, and faster
                • +
                • Train extremely large scale models on massive datasets
                • +
                • Engage in research collaborations with our partner organizations and academic affiliations
                • +
                • Publish your work in top-tier conferences and journals
                • +
                • Work closely with product teams to develop solutions
                • +
                • Assist our legal teams with preparation of patents on developed IP
                • +
                • Join us at a pivotal moment, shape what we build and wear multiple hats!
                • +
              +
              +

              You may be a good fit if you have:

              +
                  +
                • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                • +
                • Experience using large-scale distributed training strategies
                • +
                • Familiarity with autoregressive sequence models, such as Transformers
                • +
                • Strong communication and problem-solving skills
                • +
                • A demonstrated passion for applied NLP models and products
                • +
                • +Bonus: experience writing kernels for GPUs using CUDA
                • +
                • +Bonus: experience training on TPUs
                • +
                • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                • +

                  +
                  * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                  +
              +
              +

              +

              +
              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
              +

              +
              We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
              +

              +
              Our Perks:
              +
              🤝 An open and inclusive culture and work environment
              +
              🧑‍💻 Work closely with a team on the cutting edge of AI research
              +
              🍽 Weekly lunch stipend, in-office lunches & snacks
              +
              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
              +
              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
              +
              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
              +
              🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
              +
              ✈️ 6 weeks of vacation
              +

              +
              Note: This post is co-authored by both Cohere humans and Cohere technology.
              +
              ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-02-01T16:37:19.605Z,False,0,12,51,https://talenthub.vectorinstitute.ai/jobs/295709689-member-of-technical-staff-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2023-12-17T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +caf51e01-b56f-4f79-b2a4-064834514245,301156578,TD Bank Group,"Senior Manager, AI/ML Model Validation",on_site,"Toronto, ON",2024-01-18T16:28:04.439Z,"
              +

              Hours

              +
              37.5

              -

              Reporting to AVP, Analytics and Strategy as Senior Data Engineer, you will accelerate the growth and application of analytics across Group Benefits. You will also leverage practical experience in applying varied data engineering techniques and design, develop and implement analytics use cases.

              +

              Workplace Model

              +
              Hybrid

              -

              What will you do?

              -
                -
              • Work directly with business stakeholders throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts.
              • -
              • Provide plans and estimates for data engineering and business intelligence initiatives
              • -
              • Lead development of new batch/low-latency analytical solutions that leverages both traditional and emerging technologies
              • -
              • Design, develop and implement highly scalable data capture and transformation processes
              • -
              • Create effective ETLs/ELTs to move large volumes of data from various operational systems to dimensional data models for analytics consumption
              • -
              • Act as principal designer and reviewer for new data models, make data architectural decision, and provide coaching on data modeling and process design
              • -
              • Expand and grow data existing platform capabilities to solve new data problems and challenges
              • -
              • Ensure all automated processes preserve data integrity by managing the alignment of data availability and integration processes
              • -
              • Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources
              • -
              • Identify opportunities for new data acquisition and new uses for existing data resources
              • -
              • Research and make recommendations for new data management technologies and software engineering practices. Collaborate on decisions around the use of new tools and practices
              • -
              • Perform quality assurance and testing according to risk assessment guidelines to minimize operational, reputation, and legal risk.
              • -
              • Define data retention policy, establish data governance best practice, and create automated anomaly detection services
              • -
              • Document and update business continuity and disaster recovery procedures.
              • -
              • Engage in ongoing collaboration with data architects, modelers and other members to achieve common goals.
              • -
              • Provide guidance to development teams regarding best practices and design patterns for analytics solutions. Coach and provide guidance to junior team members
              • -
              • Produce and maintain support documentation for ongoing operations.
              • -
              • Act as Tier-2/3 support to troubleshoot and resolve technical issues with production data models and
              • -
              • Turn complex data into easy to understand data models that are aligned to business objectives
              • -
              • Develop a user experience that is simple, yet flexible and enable the data scientists and business intelligence developers that use this data
              • -
              • Incorporate data governance and access controls for data management and access in Tableau
              • -
              • Manage and coach data analyst on the team in their analytics development journey
              • -
              +

              Pay Details

              +

              We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

              -

              What do you need to succeed?

              +

              Department Overview

              +
              The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence / Machine Learning (AI/ML) Model Validation team within MV is responsible for the review/vetting and approval of AI/ML models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance). By ensuring an objective and independent evaluation of models, the Model Validation function is critical to the effective measurement and management of model risk across the TD Bank Group.

              -

              Education and Experience

              -
              • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
              +

              Job Details

              +
              The position reports to AVP, AI/ML Model Validation group. Detailed accountabilities include:

                -
              • Expertise in visual data model design and business intelligence principles
              • -
              • 5+ years of experience in:
                  -
                • Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data
                • -
                • Cloud platforms like Amazon Web Services (AWS)
                • -
                • SQL Programming, PL/SQL and stored procedures
                • -
                • Experience with Glue and ETL development is a bonus
                • -
                • Experience working with Cloud technologies like Amazon Web Services (AWS)
                • -
                • Working in an agile development environment including rapid prototyping during sprints
                • +
                • Lead a team of Machine Learning and Data Scientists to perform validation of all AI/ML models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for computing credit risk, adjudication of retail products, marketing, fraud detection, NLP, cyber security, personal banking, etc.
                • +
                • Recommend the approval of models or other corrective actions based on the independent validation.
                    +
                  • Lead and Support a team of model validators
                  • +
                  • Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
                  • +
                  • Communicate group objectives and strategies and align group activities in support of business objectives.
                • +
                • Support employee development activities, coach and support direct reports in meeting their personal development objectives.
                • +
                • Assume a leadership role in developing standards and procedures for vetting and validation of AI/ML models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
                • +
                • Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
                • +
                • Work effectively with internal Model Development groups, Audit, and other internal partners to ensure AI/ML models meet required Bank standards for use.
                • +
                • Play a key role in ensuring the appropriate use of AI/ML models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
                • +
                • Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on AI/ML modeling and validation.
                -

                Competencies:

                -
                  -
                • Experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services
                • -
                • Solid understanding of data warehousing principles, architecture and its implementation in complex environments.
                • -
                • Hands-on experience with development of ELT/ETL processes in traditional and distributed environments
                • -
                • Experience as designer of complex Dimensional data models for analytics services
                • -
                • Experience with development for Microsoft SQL Server Analysis Services or equivalent technologies
                • -
                • Experience with various testing methodologies and user acceptance testing.
                • -
                • Solid skills in SQL, Python and other languages used in data manipulation
                • -
                • Experience with Hadoop and Big Data technology
                • -
                • Experience with processing large datasets from multiple sources.
                • -
                • Ability to operate effectively and independently in a dynamic, fluid environment.
                • -
                • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.
                • -
                • Demonstrated ability to exchange ideas and convey complex information clearly and concisely
                • -
                • Proven ability to lead and drive projects and assignments to completion
                • -
                • Experience Tableau data sources and organizing them in structured dimensions and measures for business use
                • -
                • End-to-End development experience in Tableau and ability to create complex calculations including Custom SQL, Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                • -
                • Using blending, sorting, sets and maps in Tableau
                • -
                • Leveraging Tableau Prep for data organization and scheduling
                • -
                • Ability to understand data modeling based on user specs
                • -
                • Experience tuning the performance of Tableau Server dashboards to optimize client experience
                • -
                • Designing custom landing pages for Tableau Server for enhanced user experience and tracking utilization
                • -
                • Strong understanding of the economics of the business intelligence value stream and the value proposition of analytics services
                • -
                • Ability to work independently, manage engagements or parts of large engagements directly with business partners.
                • -
                • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                • -
                • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                • -
                • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
                • -
                -

                -

                What will be nice to have?

                -
                  -
                • Tableau development and designing dashboards experience
                • -
                • Tableau PostgreSQL hands-on analysis
                • -
                • Tableau Server and Site administration in prior roles
                • -
                • Tableau Desktop and Server / Site Admin Certifications are a bonus
                • -
                • Statistical analysis and experience with Python or R prior training or projects
                • -
                • PMP and/or Scrum Master certification and experience with SAFe (Scaled Agile Framework)
                • -
                • Experience with Lean Six Sigma principles
                • -
                -
                • Experience in Group Benefits and Insurance or Financial Services Industry
                +

              -

              Unique Job Requirement

              - +

              Job Requirements

              +
                +
              • Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, finance, engineering, software engineering, statistics, economics / econometrics, mathematics
              • +
              • In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications. Understanding of weaknesses and limitation of popular ML modeling approaches.
              • +
              • Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, EBM (GA2M)
              • +
              • Knowledge and Experience with Deep Learning models for tabular data, and/or unstructured data such as text.
              • +
              • In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques
              • +
              • Ability to research and implement Machine Learning algorithms from academic research papers is a plus
              • +
              • 4 year + Experience in either developing or validating AI/ML models; and 2 year + Experience in leading a small team
              • +
              • Proficient in relevant programming languages such as Python, PySpark, SQL. Experience with Microsoft Azure cloud infrastructure, Databricks is an asset.
              • +
              • Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
              • +
              • Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
              • +
              • Strong critical and analytic thinking skills.
              • +
              • Excellent time / project management and multitasking skills with minimal supervision.
              • +
              • Stay up to date with the latest advancements in data science, machine learning, AI, and cloud technologies
              • +

              -

              What\'s in it for you?

              +

              Proficiency in Other than French

              +
              This position requires proficiency in a language other than French to support or deal with employees or colleagues who require services and support in a language other than French.
              +

              +

              Company Overview

              +
              +Our Values
              At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              +

              Making Your Well-being a Priority
              A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

              +

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              +

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              +

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
              TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              +

              +

              Inclusiveness

              +
              +Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              +

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              +

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              +

              We look forward to hearing from you!

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/19550160/senior-manager-ai-ml-model-validation-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-02T02:07:00.000Z,False,0,4,79,https://talenthub.vectorinstitute.ai/jobs/301156578-senior-manager-ai-ml-model-validation-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19550160/senior-manager-ai-ml-model-validation-toronto-ca/,expired,2024-01-18T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +34bfb179-6eb4-4c8d-8711-7a74a27ceafd,301109576,RBC,"Senior Analyst, Data Sourcing",on_site,"Toronto, ON, Canada",2024-01-18T06:29:01.745Z,"
              +

              Job Summary

              In the increasingly complex world of financial services, accurate and complete data is critical for risk management and regulatory compliance. Ensuring data integrity begins with an understanding of financial services data. As a Senior Analyst, Data Sourcing, you will be accountable for ensuring that Systems of Records (SORs) and Authorized Provisioning Points (APPs) are identified, declared, promoted, and utilized, in order to be in compliance with the RBC Enterprise Data Management and Reporting Policy/Standards. This will also drive improvements in making data more accessible, usable, and promote a culture of data sharing through the organization. Reporting to the Associate Director, you will identify and maintain new/existing SOR/APPs in the Enterprise tool, Collibra, and steer the entire process through to declaration for domains across the organization, including, but not limited to, Credit Risk, Market Risk, US IHC, and CNB.

              +

              +

              Job Description

              +

              What will you do?

                -
              • Competitive salary and bonus structure influenced by market range data
              • -
              • 20 days vacation per year and an innovative sabbatical program
              • -
              • Great Place to Work® Certified in Canada and the US - 2022
              • -
              • -Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote +
              • Provide an end-to-end service for fully managed domains by facilitating the identification, declaration, recording, and maintenance of SORs/APPs across the enterprise.
              • +
              • Act as advisors to self-managed domains by providing initial onboarding support to enable domains in performing the end-to-end process.
              • +
              • Provide ongoing support to facilitate self-managed domains in declaring and maintaining SORs/APPs.
              • +
              • Assist in resolving any disputes regarding SORs/APPs by referring to the Data Sourcing Committee, as needed.
              • +
              • Develop standardized and ad-hoc reporting to communicate progress, trends, and insights to business partners and management.
              • +
              • Analyze lineage and control documentation for critical data elements to assist in investigating SORs/APPs.
              • +
              • Co-chair the monthly Data Sourcing Committee, and act as delegate to the Chair as needed.
              • +
              • Regularly present material and findings to management and stakeholders.
              • +
              • Gain an in-depth understanding of RBC’s tools and systems.
              • +
              • Use Collibra to log, record, and maintain SORs/APPs for critical data elements.
              • +
              • Propose process changes/improvement to address identified gaps or inconsistencies in data, processes and/or controls.
              • +
              • Collaborate closely, and maintain working relationships, with the SDMO Lineage team, SDMO Risk and Controls team, SDMO Metadata team, Report Owners, Data Management Offices, and other relevant stakeholders.
              • +
              • Work with the Chief Data Office and other Data Management Offices to support the standards and best practices to improve data quality, participating in initiatives to raise awareness and drive improved data quality across the organization (e.g. Data Working Groups, Data Literacy projects).
              • -
              • A friendly, collaborative and inclusive culture
              • -
              • Being part of our Analytics community, where we share best practices and broaden skill-sets
              • -
              • Flexible Benefits from the day you join to meet the needs of you and your family
              • -
              • Pension, stock and savings programs to help build and enhance your future financial security
              • -
              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
              • +
              • Prepare and maintain detailed procedural documentation.
              • +
              • Assist the Associate Director and Director with other ad-hoc tasks, as required.
              +

              +

              +

              Job Skills

              Business Documentation, Business Process Documentation, Communication, Critical Thinking, Data Administration, Data Analysis, Data Management, Data Movement, Data Quality, Detail-Oriented, Information Capture, Microsoft Excel, Presentations, Problem Solving, Standard Operating Procedure (SOP), Teamwork, Technical Documents

              +

              +

              +

              Additional Job Details

              +

              Address:

              BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

              City:

              TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              STRATEGY AND ADMINISTRATION

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2024-01-16

              Application Deadline:

              2024-01-30

              -

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              -

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              -

              -

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              -

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              -

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              -

              Salary Range:

              74,100/74 100 - 120,800/120 800

              -

              Job Category:

              Advanced Analytics

              -

              Posting End Date:

              01/10/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00085596?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-02T12:33:03.142Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/272367540-senior-data-engineer-at-sun-life-financial,,expired,2023-09-21T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c17d1d2c-935c-4c0d-bd20-9f0f2a235d4a,269931367,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-09-15T02:15:02.464Z,"
              -

              Application Deadline:

              09/28/2023

              +
              +

              Inclusion and Equal Opportunity Employment

              +

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              +

              -

              Address:

              100 King Street West

              -

              -

              Job Family Group:

              Data Analytics & Reporting

              -

              -

              The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

              -

              The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

              +

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              +
              ",,https://jobs.rbc.com/ca/en/job/R-0000075989/Senior-Analyst-Data-Sourcing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-01-25T06:34:02.119Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/301109576-senior-analyst-data-sourcing-at-rbc,,expired,2024-01-18T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +c79e9b4c-8bb3-4410-b8bd-9ad05435f16b,303083928,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2024-01-29T06:45:02.173Z,"
              +

              At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

              -

              Job Description

              -
                -
              • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
              • -
              • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
              • -
              • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
              • -
              • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
              • -
              • Communicate with model validation to ensure successful validation of the developed methodologies.
              • -
              • Monitors and tracks developed and future model performance, and address any potential issues
              • -
              • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
              • -
              • Help with routine processes such as stress testing model runs and annual model reviews.
              • -
              • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
              • -
              -

              Qualifications

              +

              Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Montreal, QC from May – August 2024.

              +

              Job Summary

              +

              The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

              +

              Major Responsibilities

                -
              • Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
              • -
              • 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
              • -
              • Strong data analysis skills, and able to deal with large data sets to extract relevant information.
              • -
              • Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
              • -
              • Proficiency with statistical/econometric modeling techniques
              • -
              • Experience with Machine Learning and Artificial Intelligence techniques is preferred
              • +
              • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
              • +
              • Publish research findings to ML conferences might be a possibility
              • +
              • Support Data Scientist and ML Developer on the design and development of ML Solutions
              • +
              • Translate the technology solution architecture into engineering and software development standards and specifications
              • +
              • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
              • +
              • Conduct code reviews and ensure coding standards
              -

              -

              -

              Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

              +

              Requirements

                -
              • Acts as a trusted advisor to assigned business/group.
              • -
              • Influences and negotiates to achieve business objectives.
              • -
              • Recommends and implements solutions based on analysis of issues and implications for the business.
              • -
              • Assists in the development of strategic plans.
              • -
              • Identifies emerging issues and trends to inform decision-making.
              • -
              • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
              • -
              • Builds effective relationships with internal/external stakeholders and ensures alignment.
              • -
              • Supports data collection, integration, and retention requirements for data.
              • -
              • Develops experimental design approaches to validate findings or test hypotheses.
              • -
              • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
              • -
              • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
              • -
              • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
              • -
              • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
              • -
              • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
              • -
              • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
              • -
              • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
              • -
              • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
              • -
              • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
              • -
              • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
              • -
              • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
              • -
              • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
              • -
              • Performs experimental design approaches to validate finding or test hypotheses.
              • -
              • Uses the appropriate algorithms to discover patterns.
              • -
              • Builds effective relationships with internal/external stakeholders and ensures alignment.
              • -
              • Supports development of tools and delivers training for data analytics and AI.
              • -
              • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
              • -
              • Leads/participates in the design, implementation and management of core business/group processes.
              • -
              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
              • -
              • Provides specialized consulting, analytical and technical support.
              • -
              • Exercises judgment to identify, diagnose, and solve problems within given rules.
              • -
              • Works independently and regularly handles non-routine situations.
              • -
              • Broader work or accountabilities may be assigned as needed.

                Qualifications:

                -
              • -
              • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
              • -
              • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
              • -
              • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
              • -
              • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
              • -
              • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
              • -
              • Deep knowledge and technical proficiency gained through extensive education and business experience.
              • -
              • Verbal & written communication skills - In-depth.
              • -
              • Collaboration & team skills - In-depth.
              • -
              • Analytical and problem solving skills - In-depth.
              • -
              • Influence skills - In-depth.
              • -
              • Data driven decision making - In-depth.
              • +
              • Experience with Python, Shell, and other scripting languages
              • +
              • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
              • +
              • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
              • +
              • Applies critical thinking
              • +
              • Communicates with impact
              • +
              • Solves problems to create value
              • +
              • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
              -

              -

              -

              We’re here to help

              -

              -

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              -

              -

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              -

              -

              To find out more visit us at https://jobs.bmo.com/ca/en.

              -

              -

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              -

              -

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              -
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-02T12:24:02.885Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/269931367-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-09-15T02:15:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -7c2754f0-a65d-44e3-b4ef-f29bf493dff7,285099604,CIBC,"Senior Manager, Cards Analytics & Insights",on_site,"Ontario, Canada",2023-11-02T12:17:02.158Z,"
              +

              Education

              +
              • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
              +

              *Any experience/education/skills/knowledge for these above would be considered as an asset

              +

              +

              +

              +

              +

              +

              +

              +

              +

              +

              +

              +

              +

              About CN

              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

              +

              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

              +
              ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11957?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-02-05T22:21:00.000Z,False,0,19,95,https://talenthub.vectorinstitute.ai/jobs/303083928-intern-data-scientist-computer-vision-at-cn,,expired,2024-01-29T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +81d59fe1-82ec-4017-92d6-656a000cf33e,309235113,Cohere AI,"Member of Technical Staff, Inference & Model Serving",on_site,"Toronto, ON, Canada",2024-02-29T16:34:02.875Z,"
              +
              Who are we?
              +
              Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
              +

              +
              We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
              +

              +
              Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
              +

              +
              Join us on our mission and shape the future!
              +

              +
              Why this role?
              +
              Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
              +

              +
              We are looking for candidates with a range of experiences for multiple roles.
              +

              +
              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. +
              +

              +

              +
              +
              +

              You may be a good fit if you have:

              +
                  +
                • Experience with serving ML models.
                • +
                • Experience designing, implementing, and maintaining a production service at scale.
                • +
                • Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures.
                • +
                • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference.
                • +
                • Strong understanding or working experience with distributed systems.
                • +
                • Experience in performance benchmarking, profiling, and optimization.
                • +
                • Experience with cloud infrastructure (e.g. AWS, GCP).
                • +
                • Experience in Golang (or, other languages designed for high-performance scalable servers).
                • +
              +
              +
              +

              +

              +
              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
              +

              +
              We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
              +

              +
              Our Perks:
              +
              🤝 An open and inclusive culture and work environment
              +
              🧑‍💻 Work closely with a team on the cutting edge of AI research
              +
              🍽 Weekly lunch stipend, in-office lunches & snacks
              +
              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
              +
              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
              +
              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
              +
              🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
              +
              ✈️ 6 weeks of vacation
              +

              +
              Note: This post is co-authored by both Cohere humans and Cohere technology.
              +
              ",,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,feed-importer@jobboard.io,,,,2024-03-30T18:48:58.047Z,False,0,11,68,https://talenthub.vectorinstitute.ai/jobs/309235113-member-of-technical-staff-inference-model-serving-at-cohere-ai,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,expired,2024-02-29T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +caa17a65-4123-4bf2-bd84-1d8d1b695dda,314922619,CIBC,"Sr. Analyst, Fraud Management",on_site,"Ontario, Canada",2024-03-28T06:24:03.709Z,"

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              @@ -32882,48 +32861,37 @@ c17d1d2c-935c-4c0d-bd20-9f0f2a235d4a,269931367,BMO Financial Group,"Manager, Qua

              To learn more about CIBC, please visit CIBC.com

              -

              What You’ll Be Doing

              -

              Reporting to the Director, Cards Analytics & Insights the Senior Manager – Cards Analytics & Insights will be a leading contributor in the Analytics & Decision Science team supporting the Cards business within Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaign, pricing and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.

              -

              -

              At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

              +

              What You will Be Doing

              -

              How You’ll Succeed

              +

              Ongoing support and data mining and analysis associated with transaction monitoring within CIBC’s fraud mitigation systems. Developing monitoring algorithms, implementing new strategies, and continuous improvement to existing strategies, associated with fraud monitoring systems. Collaborating with internal and external stakeholders to ensure successful deployment of fraud solutions associated with transaction monitoring and fraud detection. Provide support to projects related to transaction monitoring systems. Support and conduct feasibility studies and analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

              +

              +

              At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

              +

              +

              How You will Succeed

              • -Consultant – be a leader in analytics consulting – you will combine analytical work with domain knowledge to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth.
              • -
              • -Analytics – identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviours and business trends; proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.
              • -
              • -Technology – leverage big data/analytical tools to analyze large structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
              • +Analytical Thinking – Improve fraud monitoring by creatively responding to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis to clearly depict fraud mitigation rule options and recommended courses of action.
              • -Ownership – orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
              • +Data Management – Creation and maintenance of computer programs (ex: SAS, SQL, Python) to access a decision support data repository. Database management/querying, and computer programming/software expertise.
              • -Communication – find the story in data and be flexible in communicating at varying levels of details for the right audience.
              • +Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.
              -

              -

              Who You Are

              +

              +

              Who You Are

              • -You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
              • -
              • -You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
              • -
              • -You are proficient in programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).
              • -
              • -You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
              • +You give meaning to data. You enjoy investigating complex problems and making sense of information. You are confident in your ability to communicate detailed information in an impactful way. You have experience using SQL, SAS EG, SAS Miner, Tableau and/or Python.
              • -You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
              • +You have a degree/diploma in an Analytics/Statistics/Computers Based discipline. Master’s level degree would be an asset.
              • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
              • +You love to learn. You are passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
              • -You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.
              • +You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what is possible. You are curious and proactive; you constantly offer innovative solutions based on sound analysis.
              • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
              • -
              • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

              • +Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability. +

              -

              What CIBC Offers

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              @@ -32945,1691 +32913,221 @@ c17d1d2c-935c-4c0d-bd20-9f0f2a235d4a,269931367,BMO Financial Group,"Manager, Qua

              -

              Job Location

              Toronto-81 Bay, 25th Floor

              +

              Job Location

              Toronto-CC East 12th Floor

              Employment Type

              Regular

              Weekly Hours

              37.5

              -

              Skills

              Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Cards-Analytics---Insights_2318281?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-11-13T12:22:03.395Z,False,0,4,53,https://talenthub.vectorinstitute.ai/jobs/285099604-senior-manager-cards-analytics-insights-at-cibc,,expired,2023-11-02T12:17:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -8f2a5260-0564-4c4d-9765-ab98091a2b60,281692323,RBC,"Senior Analytics Manager, SOX & IA Shared Services",on_site,"Toronto, ON, Canada",2023-10-19T12:21:02.164Z,"
              -

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              -

              Job Title

              Senior Analytics Manager, SOX & IA Shared Services

              -

              -

              Job Description

              -

              What is the opportunity?

              -

              -

              To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across Sarbanes-Oxley (SOX) & Internal Audit Shared Services. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

              -

              -

              The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

              -

              -

              What will you do?

              -
                -
              • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.

              • -
              • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.

              • -
              • Automate and productionize the testing of key business and IT controls to enable auditors in continuously monitoring key risks across the enterprise.

              • -
              • Collaborate with other data analysts, data engineers, data product leads and data scientists within Internal Audit to scale your ideas from concept to production.

              • -
              • Help develop the vision for automated control test and process enhancements, supporting with the development of business cases, development requirements, product roadmaps, and product backlogs.

              • -
              • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.

              • -
              • Design, develop and maintain productionized applications and dashboards for our end users.

              • -
              -

              -

              What do you need to succeed?

              -

              Must have

              -
                -
              • Degree in a quantitative field, and experience with either Python or R as well as SQL

              • -
              • Experience building natural language processing (NLP) and unsupervised learning models

              • -
              • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)

              • -
              • Ability to own and manage a backlog, with a value-based understanding of all stakeholders. Excellent collaborator and stakeholder management experience.

              • -
              • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition

              • -
              -

              -

              Nice to have

              +

              Skills

              Analytical Thinking, Customer Experience (CX), Fraud Investigations, Fraud Monitoring, Group Problem Solving, Reporting and Analysis
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Fraud-Management_2405318?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-01T06:29:04.189Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/314922619-sr-analyst-fraud-management-at-cibc,,expired,2024-03-28T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ebd36121-f35d-48a7-97db-72134f362acd,310721853,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-03-07T06:38:02.439Z,"
              +
              +

              What\'s the opportunity?

              +

              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

              +

              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

              +
              +
              +

              Your responsibilities include:

              +
                +
              • Developing novel AI solutions that facilitate impactful products;
              • +
              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
              • +
              • Working with the development team to transfer research work into production;
              • +
              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
              • +
              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
              • +
              +
              +
              +

              You’re our ideal candidate if you have:

              +
                +
              • A passion for solving open problems using data and algorithms;
              • +
              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
              • +
              • Ability to formulate and drive a research project independently without close supervision;
              • +
              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
              • +
              +
              +
              +

              What’s in it for you?

              +
                -
              • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool) and experience working with Dataiku

              • -
              • Understanding of software engineering design principles

              • -
              • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders

              • -
              • Project Management Experience and Lean Six Sigma Yellow Belt or equivalent in process improvement

              • +
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • +
              • Leaders who support your development through coaching and managing opportunities;
              • +
              • Ability to make a difference and lasting impact from a local-to-global scale.
              +

              About Borealis AI

              +
              +
              +
              +

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              +

              Inclusion and Equal Opportunity Employment

              +

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              +
              +
              ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-04-01T06:43:02.507Z,False,0,9,99,https://talenthub.vectorinstitute.ai/jobs/310721853-machine-learning-researcher-at-borealis-ai,,expired,2024-03-07T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +fcc8d043-4e75-44c2-a7bb-6a02b5ec5053,324574353,Accenture,Functional & Industry Analytics - Senior Manager,on_site,"Toronto, ON, Canada",2024-05-21T01:31:01.900Z,"
              +

              Job Description

              +
              +

              Data & AI and Analytics Strategist Senior Manager

              +

              Location: Toronto, Montreal, Ottawa

              -

              What’s in it for you?

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
                -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

              • -
              • Leaders who support your development through coaching and managing opportunities

              • -
              • Work in a dynamic, collaborative, progressive, and high-performing team

              • -
              • Opportunities to do challenging work

              • -
              • Flexible work/life balance options

              • -
              -

              -

              -

              Job Summary

              -

              Address:

              20 KING ST W:TORONTO

              City:

              CAN-NS-BEDFORD, CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Internal Audit

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-10-17

              Application Deadline:

              2023-11-13
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000069909/Senior-Analytics-Manager-SOX-IA-Shared-Services,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-11-13T20:36:00.000Z,False,0,2,77,https://talenthub.vectorinstitute.ai/jobs/281692323-senior-analytics-manager-sox-ia-shared-services-at-rbc,,expired,2023-10-19T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -0230ccd9-6f9b-4e2c-82d6-5fd03272c1a6,285961334,Scotiabank,"Senior Manager, Tangerine Fraud Analytics",on_site,Canada : Ontario : Toronto,2023-11-06T16:24:02.501Z,"

              -

              -

              Requisition ID: 187940

              -

              Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

              -

              -

              Purpose
              As the Senior Manager, Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures. You will also proactively contribute to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Credit Cards, Unsecured Lending Products and Mortgages.

              What you will do in this role:
              • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
              • Lead a team that is accountable for developing, executing and monitoring fraud strategies across multiple platforms and product lines for Canadian Banking, leveraging best in class analytics
              • Ensure data mining tools (SAS, Angoss, Python, R) are effectively leveraged to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
              • Own the development of fraud forecasting and provide insight to fraud operations and business leaders
              • Analyze and report on performance of existing fraud strategies for Canadian Banking
              • Identify and leverage new data, adopt new techniques and technology to improve fraud strategy performance
              • Proactively identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams
              • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
              • Lead / participate in the identification, development and implementation of new initiatives
              • Work with fraud operations and other business partners to ensure delivery of new initiatives
              • Contribute to and support a variety of projects and initiatives across the Fraud Management Group; effectively manage and prioritize initiatives, projects and ad-hoc analysis with stakeholders
              • Participate in discussions with IT partners and vendors on requirements and solution design
              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
              • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
              • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

              What we're looking for:

              • A University degree in statistics, mathematics or computer science
              • 5+ years analytical experience including advanced statistical analysis, ideally related to Fraud Analytics or Risk Management; ability to draw and communicate key insights from data
              • Experience with statistical software such as SQL, SAS and/or Knowledge Seeker
              • Experience with fraud management platform such as PRM/TSYS/VCAS strongly desired
              • Proficient in building complex financial models that impact strategic decisions and provide product risk analysis
              • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
              • Strong communication skills essential with clients, vendors and management
              • Must be self-motivated, energetic and results-oriented and committed to adding value

              -

              Location(s): Canada : Ontario : Toronto

              -

              At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

              ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/575438617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-13T16:29:03.133Z,False,0,4,39,https://talenthub.vectorinstitute.ai/jobs/285961334-senior-manager-tangerine-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/575438617/,expired,2023-11-06T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -8321217f-0d15-4f83-aaf6-68b1bdcc88d0,269935125,Sifio Health,Software Development Associate,full,Anywhere,2023-09-15T03:12:46.404Z,"

              Software Development Associate

              -

              Job Description

              -

              Sifio Health is revolutionizing the healthcare industry through our SaaS-based workflow optimization software. Our platform simplifies, streamlines and optimizes operations by replacing disjointed, cumbersome and manual processes with a comprehensive, industry-specific application that serves the unique needs of the healthcare workforce.

              -

              By analyzing operational data, Sifio Health dramatically increases a healthcare provider’s efficiency by surfacing key insights on current workflow needs as well as personalized recommendations to optimize future workflow needs. Through our platform, hospitals can focus more time and energy delivering high quality clinical support as opposed to managing the administrative burden.

              -

              Currently, we are looking for a Software Development Associate with previous experience in development or engineering or similar positions in technical environment.

              -

              You will work closely with our founder, JP Eskander, in an entrepreneurial environment to further develop the product roadmap and refine the technology stack of the Sifio Health platform.

              -

              Must have:

              -
                -
              • Bachelor degree in computer science, software engineering or similar majors
              • -
              • Minimum 2 years of experience in software development and related areas
              • -
              • Experience working with technical teams
              • -
              • Hands-on experience with full-stack web development with .NET Core or similar MVC frameworks and development of complex applications in production
              • -
              • Experience with software project scoping, cost estimating, product roadmaps and planning
              • -
              • Experience with cloud computing and SaaS platforms; specifically, the AWS platform is an asset
              • -
              • Experience with productionizing machine learning models and setting up MLOps
              • -
              -

              Required skills:

              -
                -
              • Deep knowledge of software architecture design patterns
              • -
              • Experience with dev-ops, cloud infrastructure and end-to-end product development and deployment
              • -
              • Experience with Agile Project management and Lean Startup methodologies
              • -
              • Excellent written and verbal communication skills
              • -
              • Entrepreneurial, self-starter with the ability to work independently
              • -
              • Strategic thinker and consultative mindset
                -
                -
              • -
              -

              Great to have:

              -
                -
              • Master’s or PhD degree in software engineering or similar
              • -
              • Software development consulting or freelance experience with startups
              • -
              • Knowledge of data, analytics and machine learning
              • -
              • Familiarity with healthcare systems and industry standards
              • -
              -

              Responsibilities

              -

              - End-to-end product development, including web/cloud development

              -

              - Architectural design and product roadmap development

              -

              - Implementation of software development best practices including Agile Development

              -

              - New client onboarding and technical support of the Sifio Health platform

              -

              - DevOps and implementation of software development processes

              -

              - Technical leadership, hiring and training

              ",Careers@sifiohealth.com,,jp.eskander@sifiohealth.com,https://sifiohealth.com/,,,2023-11-14T16:58:51.914Z,False,13,0,203,https://talenthub.vectorinstitute.ai/jobs/269935125-software-development-associate-at-sifio-health,,expired,2023-09-15T03:12:00.000Z,website,Startup (1-19),Vector Quick Apply,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Associate,Masters Degree,New Posting, -66beee1e-bfb9-4a34-b298-028634488209,292677747,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-12-03T16:30:01.676Z,"
              -
              -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. -
              -

              -
              Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
              -
              -

              You will:

              -
                  -
                • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                • -
                • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                • -
                • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                • -
                • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                • -
                • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                • -
                • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                • -
                • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                • -
                • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                • -
                • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                • -
                • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                • -
              -
              -

              You have:

              -
                  -
                • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                • -
                • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                • -
                • Extensive experience with PyTorch.
                • -
                • Track record of successfully delivering robust, scalable and production-ready ML models.
                • -
                • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                • -
                • Experience with data manipulation and processing, such as SQL or pandas.
                • -
                • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                • -
                • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                • -
                • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                • -
                • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                • -
              -
              -
              Benefits and Perks:
              -
              An engaging remote-first culture
              -
              A great compensation package that includes BenchSci equity options
              -
              A robust vacation policy plus an additional vacation day every year
              -
              Company closures for 14 more days throughout the year
              -
              Flex time for sick days, personal days, and religious holidays
              -
              Comprehensive health and dental benefits.
              -
              Annual learning & development budget
              -
              A one-time home office set-up budget to use upon joining BenchSci
              -
              An annual lifestyle spending account allowance
              -
              Generous parental leave benefits with a top-up plan or paid time off options
              -

              -
              About BenchSci:
              -
              BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
              -
              Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
              -

              -
              Our Culture:
              -
              BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
              -
              We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
              -
              You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
              -

              -
              -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
              -

              -
              -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
              -

              -
              #LI-Remote
              -
              ",,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-01-03T17:56:18.227Z,False,0,5,286,https://talenthub.vectorinstitute.ai/jobs/292677747-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a,expired,2023-12-03T16:30:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -64eb8967-a127-4e90-a52b-d94c54159ef3,296397789,RBC,"Senior Director, Avion Reporting and Analytics",on_site,"Toronto, ON, Canada",2023-12-21T06:29:01.912Z,"
              -

              Job Summary

              -

              -

              -

              Job Description

              +

              We Are

              +

              The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

              +

              With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

              -

              What is the opportunity?

              -

              The Senior Director of Avion Rewards Product and Partner Reporting and Analytics will be responsible for leading the teams who support Avion Rewards products with action-oriented analytics. This role will report to the Vice President of Avion Rewards Shopping with accountability to the VP of Avion Rewards Consumer Loyalty and the VP of Enterprise Partnerships, and will be accountable for the following mandates:
              1) Guide and support a high performing team of analysts to evolve and automate the insights they provide the 3 major business areas of Avion (Partners, Consumer Loyalty & Rewards, and Shopping & Offer) and its digital surfaces
              2) Mature the metadata, data lineage, and automation of reporting to enable product owners and partner executives across the business to make smart, meaningful changes to our features and content on a frequent basis
              3) Continue to mature our reporting and analysis environment and approaches to build a “bottoms-up” roll-up view of the business and visualize how we are performing across the three key areas

              -

              To be successful in this role you need to be highly collaborative and customer-focused while also driving to a best-in-market approach for product analysis. This is a fast-paced and matrixed environment, meaning context switching is an incredibly important component as the team supports 3 very different business areas. The data environment for loyalty programs is complex, spanning banking products, CRM tools, merchant data, offers platforms, and more; being a system-level thinker, helping the teams stitch together meaningful views that enable great business decisions, and simplifying the complex will all be critical skills in this role.

              +

              You Are

              +

              As a Data, AI and Analytics Strategist, you will play a pivotal role in shaping the vision and creating opportunities for Data & AI led business reinvention. You will use your strong skills and industry knowledge to define and structure an organization’s data and AI strategy to build and optimize a strong data and AI foundation, create new AI solutions and services, driving growth and competitive advantage.

              -

              What will you do?

              +

              The Work

                -
              • Lead the Avion product analytics maturation journey and oversee the team’s performance

              • -
              • Work closely with the Avion Rewards Product teams to understand reporting and analysis needs and guide your teams on the best way to support those needs.

              • -
              • Set the strategy for how we automate and push analytical insights “to the edge” and put them in the hands of the product teams.

              • -
              • Be a pioneering leader to continue Avion’s transition into a data-driven organization for all the business decisions we make.

              • -
              • Help the team synthesize and simplify the complexities of our loyalty business.

              • -
              • Hire, inspire and coach product analysts to create impact and grow their careers.

              • -
              -

              -

              -

              What do you need to succeed?

              -

              Must have:

              +
            • Assess maturity of an organization’s data and AI foundation.

            • +
            • Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.

            • +
            • Identify, prioritize, and conceptualize new industry specific AI solutions and services in line with business growth strategy.

            • +
            • Create the business case, investment profile and roadmap to deliver on the strategy.

            • +
            • Build a data/AI platform reference architecture and solutions blueprint as a canvas for implementation roadmap.

            • +
            • Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.

            • +
            • Identify people, processes, and technologies to develop and operationalize AI solutions.

            • +
            • Create strategy for AI-first products and develop commercialization opportunities.

            • +
            • Lead small to medium sized teams with diverse backgrounds skills and knowledge.

            • +
            • Effectively manage and coach others, collaborating with internal and external parties

            • +
            • Support client sales origination and thought leadership development.

            • +
              show more show less
              +

              Qualifications

              +

              Here’s what you need

                -
              • 10-15 years of data and product analysis experience.

              • -
              • Extensive experience with modern data, analytical, and visualization tools (e.g., Tableau, Snowflake, SQL, etc.).

              • -
              • Experience in retail e-commerce platforms and/or loyalty platforms.

              • -
              • Proven growth mindset.

              • -
              • Excellent communication skills with both highly technical and business individuals.

              • -
              • A knack for taking a business outcome and distilling it into a series of analytical insights to reach the right conclusion.

              • -
              • Ability to listen and engage stakeholders and effectively align others around a common goal.

              • -
              • Prior experience leading high-performing analytical teams.

              • -
              • Natural curiosity and a truth-seeking mindset.

              • +
              • Minimum of 3 years’ experience in Data & AI/Analytics consulting

              • +
              • Minimum of 4 years’ experience in Data & AI Operating Model, Processes, Patterns & Technologies, Platforms Strategy, Solution Architecture, Strategy, Data Value Articulation and Responsible AI.

              • +
              • Basic knowledge of finance enterprise functions including but not limited to accounting, treasury, corporate functions and reporting, controllership, and FP&A

              • +
              • Demonstrated ability to lead project workstreams to completion.

              -

              Nice to have:

              -
              • Prior experience in P&L oversight and/or B2B analysis and reporting

              -

              -

              -

              What’s in it for you?

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              +

              Bonus points If

                -
              • Ability to make a difference and lasting impact

              • -
              • Work in a dynamic, collaborative, progressive, and high-performing team

              • -
              • Opportunities to do challenging work

              • +
              • You have an MBA

              • +
              • You have experience in one of the following industries: Consumer Goods & Services, Retail, Banking or Media & High Tech.

              -

              -

              -

              Job Skills

              Analytical Thinking, Business Acumen, Decision Making, Long Term Planning, Problem Solving, Product Services

              -

              -

              -

              Additional Job Details

              -

              Address:

              RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

              City:

              TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Personal and Commercial Banking

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-12-18

              Application Deadline:

              2024-01-03

              -

              -

              -

              -

              -
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              -

              -

              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000074375/Senior-Director-Avion-Reporting-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-01-04T06:34:01.859Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/296397789-senior-director-avion-reporting-and-analytics-at-rbc,,expired,2023-12-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -6a5b02c9-3161-4564-a547-f726d7fd4268,294250247,NVIDIA,Senior Solutions Architect - AI,full,Canada,2023-12-11T19:17:17.769Z,"

              Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to help customers solve challenging problems using AI. Solutions Architects are the primary technical contacts for our customers and engage deeply with application developers and scientific researchers. We need individuals who can develop positive relationships with customers, learn their requirements, and work to bring solutions that enable their success.

              -

              Your primary responsibility will be to become a trusted technical advisor to our customers in Canada. You should be comfortable working in a dynamic environment, communicating with a broad range of customers from research organizations to enterprise customers, and have experience with (or the ability to learn about) NVIDIA’s solutions in areas such as Generative AI, LLMs, and high performance computing. We are laser-focused on helping customers adopt our platform, and you’ll need to be knowledgeable about a broad array of NVIDIA platforms. We expect you to work closely with the entire customer team, including sales, program management, and business development.

              -

              -

              What you’ll be doing:

              -
                -
              • Engage with customers to develop a keen understanding of their goals, strategies, and technical needs – and help to define and deliver high-value solutions that meet these needs.
              • -
              • Develop and demonstrate solutions using NVIDIA’s platforms including state-of-the-art ML/DL, data science, and HPC.
              • -
              • Stay current with the state of the art in AI and scientific computing ecosystems.
              • -
              • Provide customer requirements to engineering to foster product and platform improvements.
              • -
              • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
              • -
              • Some travel to customers and conferences may be required.
              • +
              +

              Locations

              +
              Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
              +
              +
              +

              +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

              +
              +

              Our Commitment to Inclusion & Diversity

              +

              At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

              +

              Requesting An Accommodation

              +

              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

              +

              If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

              +

              Other Employment Statements

              +

              It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

              +

              Job candidates are not required to disclose any offence for which a pardon has been granted.

              +
              +
              +
              Share
              +
              Share
              +
              Job Link:
              Copy
              +
              +
              +
              +
              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00212144_en&title=Functional%20%26%20Industry%20Analytics%20-%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-05-27T20:12:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/324574353-functional-industry-analytics-senior-manager-at-accenture,,expired,2024-05-21T01:31:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +ad5c0484-81af-4020-9c60-41cee326f660,324574912,Shopify Inc.,Credit Risk Analyst,on_site,"Ontario, Canada",2024-05-21T01:36:02.556Z,"
              +
              +
              Back
              +

              Credit Risk Analyst

              +
                +
              • +Remote - Americas
              • +
              • Support
              -

              -

              What we need to see:

              -
                -
              • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
              • -
              • 5+ years of hands-on experience, primarily with machine learning and deep learning software architecture and frameworks.
              • -
              • Strong analytical and problem-solving skills and the ability to learn new technologies quickly.
              • -
              • Strong written and oral communications skills, independent and able to multitask effectively with minimal day-to-day direction.
              • +
              Apply Now
              +

              About Shopify

              +
              +

              Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

              This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

              +
              +
              +
              +
              +

              About you

              +
              +

              Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

              +Before you apply, consider if you can:
                +
              • Care deeply about what you do and about making commerce better for everyone
              • +
              • Excel by seeking professional and personal hypergrowth
              • +
              • Keep up with an unrelenting pace (the week, not the quarter)
              • +
              • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
              • +
              • Bring critical thought and opinion
              • +
              • Embrace differences and disagreement to get shit done and move forward
              • +
              • Work digital-first for your daily work
              +
              +
              +
              +
              +Shopifyhttps://www.shopify.com +
              +
              +

              About the role

              +
              +

              About the Team

              +

              The Credit Risk Team is responsible for identifying and mitigating losses for merchants processing on the Shopify Payments gateway, all while supporting the growth of the trustworthy and sustainable businesses on our platform. This work includes early detection of signals that indicate business failure, monitoring for high risk patterns of behavior, and keeping up to date on emerging risk vectors (e.g. supply chain constraints, buyer fraud trends), and industry best practices. Given the dynamic, global and fast changing reality of commerce, our work is challenging, impactful and constantly evolving. As Shopify continues to grow and expand its geographical footprint and develop new product offerings, our signals and policies must continually adapt. This work is crucial in ensuring that Shopify remains a trusted platform.

              -

              Ways to stand out from the crowd:

              +

              About the Role

              +

              This role will involve, among other things:

                -
              • Excellent knowledge of theory and practice of Generative AI and Large Language Models.
              • -
              • Experience with NVIDIA GPUs and software libraries, working with the engineering or research community.
              • -
              • Proven experience as a sales engineer/solutions architect.
              • -
              -

              -

              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

              +
            • Reviewing cases generated by models and pre-set rules, and analyzing a large amount of signals related to identifying, preventing and mitigating credit risk losses on the Shopify platform

            • +
            • Actioning and contacting merchants to address credit risk concerns, setting loss mitigation controls and helping merchants sustainably manage and grow their businesses

            • +
            • Ensuring a low-friction experience for legitimate users by striking the right risk/reward balance

            • +
            • Thinking strategically about how to iteratively improve credit risk detection systems, processes & workflows

            • +
            • Helping to evolve the effectiveness of credit risk signals by identifying and analyzing trends in the wider credit risk space

            • +
            • Influencing team strategy through domain expertise and contributions to initiatives

            • +
            • Having the ability to successfully balance micro and macro perspectives

            • +
            • Ability to work in a fast-paced, constantly evolving environment

            • +
            • Actively assisting team members on complex reviews

            • +
            • Thriving on change and taking ownership without prompting

            • +
            • Executing on tasks in a timely manner with minimal direction

            • +
            • Embracing and working within an ambiguous environment

            • +
            • Collaborating with the team to articulate any newly identified threats, wider credit risk activity, or noted financial risk trends

            • +
            • +

              Having strong analytical, problem-solving, interpersonal, and communication skills (including ability to simplify technical issues)

              -

              The base salary range is 116,250 CAD - 234,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

              -

              You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Solutions-Architect---AI_JR1974617,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-01-04T19:53:00.000Z,False,0,5,256,https://talenthub.vectorinstitute.ai/jobs/294250247-senior-solutions-architect-ai-at-nvidia,,expired,2023-12-11T19:17:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, -78733230-6470-4b21-95de-5313b989cdfb,298580628,Vector Institute,Associate Applied Machine Learning Specialist (9 month Contract),on_site,"Ontario, Canada",2024-01-03T06:42:02.901Z,"
              -

              Associate Applied ML Specialist

              -

              POSITION OVERVIEW

              -

              As an Associate ML Specialist, you will develop reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of Vector’s best and brightest ML engineers and data scientists, and leading industry and health organizations. In addition, you will collaborate with some of the best and brightest machine learning researchers.

              -

              -

              RESPONSIBILITIES

              -
                -
              • Deliver software and models for AI development projects following an agile methodology with teams that can include Vector Applied ML specialists, Applied ML scientists, professional staff, researchers, and industry sponsors.
              • -
              • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models
              • -
              • Design, develop, and contribute to open-source software that applies AI research techniques to common problems.
              • -
              • Mentor industry sponsor engineers and researchers on industry collaboration projects that apply AI research to shared problems, mentor engineering best practices, and assist with operational issues
              • -
              • Develop prototypes and proofs of concept
              • -
              • Report and present software development outcomes for team efforts, including demos, status, and results
              • +
              -

              -

              SUCCESS MEASURES

              +

              You probably have the following:

                -
              • Timely development and delivery of high quality software and AI models in support of internal and external development stakeholders.
              • -
              • Effective AI knowledge-transfer to internal and external stakeholders through clear communication of software and AI model development progress, demos and results presentations.
              • -
              • Active and constructive participation in diverse and interdisciplinary teams, contributing to a positive team environment.
              • +
              • 3-5 years of experience in a credit risk and/or financial loss prevention environment

              • +
              • Superb investigative, analytical, and decision-making skills

              • +
              • Ability to balance risk mitigation and merchant experience

              • +
              • Excellent organizational and time management skills

              • +
              • Strong understanding of online and brick & mortar commerce and the ability to differentiate the risks between them

              • +
              • Exceptional written and oral communication skills

              • +
              • +

                Amazing team player

                +

                +
              -

              -

              PROFILE OF THE IDEAL CANDIDATE

              +

              It would be great if you had experience with:

                -
              • Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline;
              • -
              • Experience applying machine learning research to novel problems and data sets
              • -
              • Demonstrated experience in machine learning and statistics
              • -
              • Demonstrated data engineering background working with messy real-world data
              • -
              • Demonstrated analytical skills to identify signals in data and feasibility of prediction
              • -
              • Knowledge and understanding of Python and preferably C/C++ and C#
              • -
              • Software engineering background with experience in production deployment is preferred
              • -
              • Experience working on teams that land high-quality software successfully in production is preferred
              • -
              • Experience with parameter and architecture tuning of deep learning algorithms is preferred
              • -
              • Experience in leading open-source deep learning software frameworks (PyTorch, Tensorflow, JAX, and CUDA) is preferred
              • -
              • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
              • +
              • SQL knowledge

              • +
              • Google sheet / looker experience

              • +
              • Financial underwriting

              • +
              • Experience working with a Fintech, card processor, marketplace or commerce platform

              • +
              • Experience handling high value processing and high visibility accounts

              -

              -

              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

              -


              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

              -
              -
              ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=476496&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-01-08T20:41:00.000Z,False,0,12,29,https://talenthub.vectorinstitute.ai/jobs/298580628-associate-applied-machine-learning-specialist-9-month-contract-at-vector-institute,,expired,2024-01-03T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -363c8b76-9997-4c7e-8503-c618742a6fe4,296508146,Scotiabank,"Manager, Forecasting Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.877Z,"

              -

              -

              -

              -

              Requisition ID: 190467

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Overview:
              The world is changing faster than ever and so are we!

              -

              -

              “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

              -

              -

              Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

              -

              -

              What Are We Looking For?
              We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

              -

              -

              To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

              -

              -

              We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

              -


              Make an Impact
              As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the regulatory capital (AIRB) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

              -

              -

              You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

              -

              Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

              -

              -

              Is This Role Right for You?

              -
              • You believe, first and foremost, in always doing the right thing and doing things the right way
              • You are both deeply curious and highly pragmatic
              • You are comfortable with ambitious but realistic goals and are committed to achieving them
              • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be more, or less technical than you)
              • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
              • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
              • You understand what PDs, LGDs, EADs & RWA really are, from the ground up, and can model them precisely for any product
              • You have a genuine love, passion and talent for programming, data, and predictive modeling
              • You are committed to quality in everything you do – statistically, process and governance wise
              • You look forward to sharing your insights through high-quality verbal & written communications
              • You are professional, motivated AND FUN. We mean it.
              • -
              -

              -

              Sample projects that you might work on include:

              -
              • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
              • Prepare attribution and/or stock-flow analysis of product portfolios
              • Collaborate with risk management, vendors, technology and compliance + audit to ensure effective governance, measurement & communication of model performance
              • Accurately estimate impacts and implement the models developed, recalibrated and maintained in production platforms
              • Identify, promote and lead process improvements for model development and monitoring
              • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
              • -
              -

              -

              What Do You Need to Succeed?
              General

              -
              • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
              • A demonstrated history of analytic problem solving and sound judgment
              • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
              • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
              • -
              -

              -

              Technical

              -
              • Strong fundamental understanding of statistics
              • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
              • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
              • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
              • Knowledge about credit risk models / scorecards
              • -
              -

              -

              Nice to Have’s

              -
              • Proficient reading, writing and speaking Spanish
              • Experience with credit risk forecasting and/or financial reporting frameworks
              • Experience developing credit risk models / scorecards
              • Experience working within loss forecasting, AIRB or IFRS9 frameworks
              • Domain expertise with any retail & small business banking products and/or risk management practices
              • FRM, CFA credentials
              • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
              • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
              • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
              • -
              -

              -

              What’s in It for You?

              -
              • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
              • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
              • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
              • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
              • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
              • -
              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-ON-M5H1H1/576704017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-08T16:31:06.342Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/296508146-manager-forecasting-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-ON-M5H1H1/576704017/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -23d707fe-c240-4be5-bc37-1524020429a2,315475196,RBC,"Analyst, Institutional Client Credit Management, Portfolio Management and Analytics",on_site,"Toronto, ON, Canada",2024-04-01T06:29:01.680Z,"
              -

              Job Summary

              -

              -

              -

              Job Description

              -

              -

              What is the opportunity?

              -

              You will play a key role in the risk assessment and continuous risk monitoring for RBC Capital Markets’ trading clients globally.

              -

              -

              What you will do

              -
                -
              • Understand and assess risks inherent in (i) the asset management industry and its regulation, (ii) the sponsors and the markets they operate in, (iii) trading products and (iv) investment strategies.

              • -
              • Net Asset Value monitoring and other risk metrics.

              • -
              • Undertake annual reviews on a timely basis to remain compliant with deadlines.

              • -
              • Preparation and recommendation of internal risk ratings.

              • -
              • Other primary responsibilities that may arise from time to time in support of risk assessment and continuous monitoring.

              • -
              -

              -

              What will you need to succeed?

              -
                -
              • Honours, B.A. or B. Comm or equivalent.

              • -
              • 1 - 2 years prior relevant work experience

              • -
              • Understanding and knowledge of fund industry, securities regulations governing funds and of trading credit risk.

              • -
              • Familiarity and basic understanding of trading products including FX, swaps and securities finance.

              • -
              • Advanced data and computer management skills including proficiency with Excel.

              • -
              • Ability to establish priorities and manage tasks with accompanying attention to detail.

              • -
              • Ability to interpret, explain and communicate opinions and recommendations using strong verbal and written skills.

              • -
              -

              -

              What’s in it for you?

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
                -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.

              • -
              • Opportunities to do challenging work.

              • -
              • Work in a dynamic, collaborative, progressive and high-performing team.

              • -
              • Opportunity to work with and gain exposure to Sales and Trading professionals, relationship managers, Group Risk Management, and a number of other internal teams.

              • -
              • Opportunities to take on progressively greater accountabilities.

              • -
              -

              -

              -

              Job Skills

              Adaptability, Critical Thinking, Customer Service, Detail-Oriented, Financial Engineering, Financial Statement Analysis, Investments Analysis, Personal Development, Taking Initiative, Teamwork

              -

              -

              -

              Additional Job Details

              -

              Address:

              ROYAL BANK PLAZA, 200 BAY ST:TORONTO

              City:

              TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Capital Markets

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2024-03-28

              Application Deadline:

              2024-04-11

              -

              -

              -

              -

              -
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              -

              -

              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000083618/Analyst-Institutional-Client-Credit-Management-Portfolio-Management-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-11T21:57:00.000Z,False,0,1,59,https://talenthub.vectorinstitute.ai/jobs/315475196-analyst-institutional-client-credit-management-portfolio-management-and-analytics-at-rbc,,expired,2024-04-01T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f7b87575-127a-4f29-86a7-cbbb8ba19a0f,316500615,Shopify Inc.,"Staff Data Engineer, Embedded",full,Canada,2024-04-05T20:40:14.298Z,"

              About Shopify

              -

              Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

              -

              This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

              -

              -

              About you

              -

              Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

              -

              Before you apply, consider if you can:

              -
                -
              • Care deeply about what you do and about making commerce better for everyone
              • -
              • Excel by seeking professional and personal hypergrowth
              • -
              • Keep up with an unrelenting pace (the week, not the quarter)
              • -
              • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
              • -
              • Bring critical thought and opinion
              • -
              • Embrace differences and disagreement to get shit done and move forward
              • -
              • Work digital-first for your daily work
              • -
              -

              -

              About the role

              -

              Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

              -

              As a Data Engineer at Shopify, your primary responsibility will be to contribute to Shopify’s Data Warehouse. Your work will unlock powerful insights to guide the development and improvement of Shopify’s products.

              -

              As a central Data Engineer, you will sit amongst a team of Data Engineers focused on defining and upleveling the craft and product of Data Engineering across all of Shopify. Your impact is seen at scale when you ship high quality data assets to Shopify’s Data Warehouse, which get used by thousands of people to perform product analysis, make decisions to support our merchants, and steer strategic decisions of the business. You also achieve with others as you partner with Data Engineers embedded in product teams to share and gather standards and best practices, and perform data architecture duties to uplevel and maintain the high quality of Data Engineering at Shopify.

              -

              Example day to day responsibilities include:

              -
                -
              • Partnering as a member of the Analytics Engineering founding team to influence and create this greenfield space at Shopify
              • -
              • Working with business partners to understand requirements
              • -
              • Working with developers to understand and influence how data is produced
              • -
              • Collaborating with data engineers on tooling for automated tasks around consuming, validating raw/modeled data, updating modeled data
              • -
              • Designing, building, profiling, and documenting our datasets and the jobs that build them
              • -
              • Profiling raw data sets
              • -
              • Writing data transformations using dbt or Spark
              • -
              • Shipping data pipelines including real-time streaming and batch processing
              • -
              • Optimizing data transformation pipelines to increase freshness or reduce computational time/cost
              • -
              • Controlling data quality
              • -
              • Debating whether leading or trailing commas are better
              • -
              • Fixing jobs that are broken in production (wrong data types returned, granularity not as expected, resourcing issues)
              • -
              • Creating and implementing architecture and standards for analytics and data engineers
              • -
              • Collaborate with sister disciplines (Engineering, Data Science) to establish best practices
              • -
              -

              -

              Qualifications

              -
                -
              • Commercial experience in Data Engineering, and/or Analytics Engineering, ​​​​​​building scalable data warehouses
              • -
              • Dimensional Modeling (Star Schema, Kimball, Inmon)
              • -
              • Advanced SQL skills (ease with window functions, defining UDFs)
              • -
              • Exposure to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers
              • -
              • Hands-on experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements
              • -
              • Fantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams
              • -
              • Technical thought leader, comfortable navigating ambiguity and mentoring various level of team members
              • -
              • Fluent in data architecture and modeling concepts, able to coach and influence others to uplevel the craft of Data Engineering
              • -
              -

              -

              All your information will be kept confidential according to EEO guidelines.

              -

              ",,https://www.shopify.com/careers/staff-data-engineer--embedded-_64be6353-255a-4322-b65f-f40f112c686b,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-11T21:59:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/316500615-staff-data-engineer-embedded-at-shopify-inc,,expired,2024-04-05T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, -605dab15-7429-4e58-823e-6cecaf3e883a,314922649,RBC,"Manager, AML Data Management",on_site,"Toronto, ON, Canada",2024-03-28T06:29:01.769Z,"
              -

              Job Summary

              -

              -

              -

              Job Description

              -

              WHAT IS THE OPPORTUNITY?

              -

              The AML Data Management team is mandated to execute the Enterprise AML and Financial Crimes Data Management Program that will govern data used within the enterprise to meet regulatory requirements and expectations, while accommodating RBC’s innovation framework. You will contribute to sustaining and enhancing the oversight and governance of data used within key processes of the AML and Financial Crimes (such as sanctions screening and transaction monitoring). You will have an opportunity to liaise with AML Compliance, AML FIU, the Chief Data Office, DNA, and other business partners to execute data management strategies and protocols to maintain and enhance an effective and efficient AML and Financial Crimes Program at RBC.

              -

              -

              WHAT WILL YOU DO?

              -
                -
              • Analyze large data sets in conjunction with data dictionaries, system documentation, and end user documentation to understand business context and translate into data requirements from an enterprise AML Program perspective

              • -
              • Perform data profiling and analysis of data sources to assess data availability and ensure AML data requirements are continually satisfied

              • -
              • Perform comprehensive data analysis to measure data quality in accordance with the CDO data quality strategy. Define data quality rules and scorecards for ongoing monitoring and measurement of data quality, particularly from an AML Program perspective

              • -
              • Evaluate data quality measurements and scorecards to identify data quality issues that may impact the effectiveness of the AML Program. Leverage enterprise data governance tools to document detailed data lineage and data transformations through liaison between business stakeholders and IT partners

              • -
              • Perform post implementation verification to ensure AML data requirements from data sources have been accurately and successfully captured in target data models/schemas

              • -
              • Assist with the development of high level plans and user stories for completion of AML data requirements and acceptance phases of projects, improving in the level of detail and accuracy of estimates over time

              • -
              -

              -

              WHAT DO YOU NEED TO SUCCEED?

              -

              Must have

              -
                -
              • Undergraduate degree coupled with change management experience in complex programs with high frequency of requests and multiple priorities

              • -
              • 5+ years of technical experience using SQL to interface with various databases, data sources, and file systems (RBDMS, OLTP/OLAP, flat files, UNIX, HDFS)

              • -
              • Understanding of data governance and data quality concepts and processes such as Data Quality Controls, Authoritative Data Sources, Master and Reference Data, etc.

              • -
              • Proficient with SAS programming and its macro language to perform quantitative data analysis and transformations. Other expertise with R, Hadoop, VBA, Java and C++ or other related experience desirable

              • -
              • Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously

              • -
              -

              -

              Nice-to-have

              -
                -
              • Knowledge of reconciliation design, data integration, data sourcing, data quality reporting, and exception resolution processes. As well as knowledge of data warehousing, front-to-back data flows and processing in banking database systems

              • -
              • Ability to facilitate between and influence key decision makers

              • -
              • Strategic thinker with excellent interpersonal skills to work across functions and businesses

              • -
              • Certified Anti-Money Laundering Specialist (CAMS) designation or other related certifications

              • -
              -

              -

              -

              What’s in it for you?

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
                -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

              • -
              • Leaders who support your development through coaching and managing opportunities

              • -
              • Ability to make a difference and lasting impact

              • -
              • Work in a dynamic, collaborative, progressive, and high-performing team

              • -
              • Opportunities to do challenging work

              • -
              • Opportunities to take on progressively greater accountabilities

              • -
              • Flexible work/life balance options

              • -
              -

              -

              -

              #LI-hybrid

              -

              #LI-POST

              -

              #TechPJ

              -

              -

              -

              Job Skills

              Critical Thinking, Critical Thinking, Data Administration, Database Integrity, Database Structures, Data Classification, Data Compilation, Data Documentation, Data Explorations, Data Flows, Data Governance, Data Lineage, Data Management, Data Manipulation, Data Mapping, Data Modeling, Data Movement, Data Profiling, Data Quality, Data Transformation, Data Warehousing (DW), Detail-Oriented, Enterprise Data, Group Problem Solving, Information Capture {+ 5 more}

              -

              -

              -

              Additional Job Details

              -

              Address:

              20 KING ST W:TORONTO

              City:

              TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              GROUP RISK MANAGEMENT

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2024-03-25

              Application Deadline:

              2024-05-09

              -

              -

              -

              -

              -
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              -

              -

              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000081557/Manager-AML-Data-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-09T18:05:00.000Z,False,0,4,73,https://talenthub.vectorinstitute.ai/jobs/314922649-manager-aml-data-management-at-rbc,,expired,2024-03-28T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b25b0f17-1e32-4e2d-8602-b26c0d22b2ad,284611099,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-10-31T16:25:02.409Z,"
              -

              Hours

              -
              37.5
              -

              -

              Workplace Model

              -
              Hybrid
              -

              -

              Pay Details

              -

              We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

              -

              -

              Department Overview

              -

              The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
              This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

              -

              -

              Job Details

              -
              -

              Reporting to the Senior Manager, Analytics & Information Management – the Manager Analytics & Insights role includes leading and managing a team who provide support maintaining CRM, analytics discovery, and business insights, developing dashboard to a wide range of audience at all levels, including senior executives, of all functions within TDAF.

              -
                -
              • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
              • -
              • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
              • -
              • Manage, update, and maintain pricing model and profitability reports for consumption of product partners. Liaison with a variety of teams (TBSM, Capital, Risk, Finance) to understand changes to financial variables and its impact to the models output.
              • -
              • Prepare Management summaries highlighting the outcome of the dealer segmentation refresh and ensuring the appropriate validations are performed, coordinating with dealer ops team on the changes.
              • -
              • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
              • -
              • Act as a SME providing consultation and recommendations on how the team can provide strategic business value to teams across TDAF.
              • -
              • Accountable for all day-to-day CRM Maintenance and upgrades.
              • -
              • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
              • -
              • Monitor and ensure the appropriate policies procedures and accountabilities are documented and followed for internal and external audit purposes.
              • -
              • Establish and maintain productive working relations with all stakeholders.
              • -
              • Provide leadership, coaching, and mentorship for all employees on the team
              • -
              -
              -

              -

              Job Requirements

              -
              -Experience & Qualifications

              -
                -
              • Experience working with relational databases. Querying and combining various data sources.
              • -
              • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
              • -
              • Experience in SQL, Tableau, Python, Microsoft BI solutions will be an asset.
              • -
              • Experience building presentations and presenting the findings to upper management.
              • -
              • Minimum 5 years in an analytical or consulting role.
              • -
              • Experience working with Microsoft Dynamic 365 will be an asset.
              • -
              • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems.
              • -
              • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
              • -
              • Strong people management skills with proven leadership abilities.
              • -
              • Banking or Automotive Industry experience is strongly preferred.
              • -
              -
              -

              -

              Company Overview

              -
              -Our Values
              At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              -

              Making Your Well-being a Priority
              A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

              -

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              -

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              -

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              -
              -

              -

              Inclusiveness

              -
              -Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              -

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              -

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              -

              We look forward to hearing from you!

              -
              -

              -
              ",,https://jobs.td.com/en-CA/jobs/18730024/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-12-02T19:16:11.118Z,False,0,5,120,https://talenthub.vectorinstitute.ai/jobs/284611099-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18730024/manager-analytics-insights-toronto-ca/,expired,2023-10-31T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c1b5c65a-73ae-4dd3-969e-f6f030b704d4,290389843,CIBC,"Sr. Analyst, Infrastructure Reporting & Data Analytics",on_site,"Ontario, Canada",2023-11-23T12:17:02.403Z,"
              -

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              -

              -

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              -

              -

              To learn more about CIBC, please visit CIBC.com

              -

              -

              -

              What You\'ll Be Doing

              -

              You will be joining CIBC’s Technology Operations group which delivers world class solutions in support of business strategies, through a combination of in-house systems development and working with leading technology partners. You will be responsible for the development & visualization of reports by building data models of large and diverse datasets related to infrastructure, applications and financials. Due to the size and complexity of the portfolio, this role will support interaction with various teams to capture requirements and translate them into predictive analytics by rationalizing inventory, tracking overall project delivery and summarizing detailed information in order to communicate findings in an impactful way.

              -

              -

              At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

              -

              -

              How You’ll Succeed

              -
                -
              • Data Forensics - Assist teams in sourcing and managing new data sources for reporting and ongoing day-to-day operations. Work with engineers, project managers and financial teams to assess information for analysis and reporting. Complete exploratory analysis of large volumes of data.

              • -
              • Data Modeling - Work with subject matter experts in order to build new data models and recommend ways to improve existing ones.

              • -
              -
              • Reporting - Design, develop and maintain reports and dashboards for a variety of TO functions. Interpret the findings and assist with technical recommendations to engineering and business applications teams.

              -

              -

              Who You Are

              -
                -
              • You have or are enrolled in a post-secondary degree in Technology, Computer Science or related field.

              • -
              • You can demonstrate 1-2 years experience in using SQL queries and Excel.

              • -
              • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

              • -
              • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

              • -
              • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

              • -
              • You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.

              • -
              • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

              • -
              -

              -

              What CIBC Offers

              -

              -

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              -
                -
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

              • -
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • -
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • -
              -

              -

              *Subject to plan and program terms and conditions

              -

              -

              What you need to know

              -
                -
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • -
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • -
              -

              -

              -

              -

              -

              -

              Job Location

              Toronto-81 Bay, 32nd Floor

              -

              Employment Type

              Regular

              -

              Weekly Hours

              37.5

              -

              Skills

              Accountability, Building Trust, Creating Reports, Data Reporting, Infrastructure Management (IM), Project Coordination, Structured Query Language (SQL) Development, Teamwork
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Infrastructure-Reporting---Data-Analytics_2317376-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-12-04T12:22:02.210Z,False,0,1,79,https://talenthub.vectorinstitute.ai/jobs/290389843-sr-analyst-infrastructure-reporting-data-analytics-at-cibc,,expired,2023-11-23T12:17:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d242bd0c-483a-4f06-8316-86afdca5f970,291880545,BenchSci,Senior Machine Learning Engineer - Research & NLP (Remote),full,"Toronto, Ontario Remote",2023-11-30T16:29:01.581Z,"
              -
              -We are seeking a Sr ML Engineer - Research & NLP to join our growing Core Machine Learning (CoreML) team. You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. -
              -

              -
              Reporting to the Engineering Manager, ML, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
              -
              -
              -

              You Will:

              -
                  -
                • Design, build, evaluate and deploy robust, scalable and production-ready ML models that enhance the speed and quality of life-saving research
                • -
                • Run research-focused projects to invent new NLP/ML solutions
                • -
                • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                • -
                • Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                • -
                • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                • -
                • Participate and contribute to sprint planning, estimation, and design/code reviews, advocating for innovative solutions and long-term technical investments that will drive innovation at BenchSci
                • -
                • Work cross-functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology
                • -
                • Provide guidance to engineers and help to foster a culture of continuous growth
                • -
              -
              -
              -

              You Have:

              -
                  -
                • 4+ years of experience working as a professional developer applying ML techniques, with 2+ years in ML research
                • -
                • Expertise in fundamentals of ML model training and designing, building and evaluating robust & scalable production-ready ML models
                • -
                • Strong experience working with LLMs, Python and programming fundamentals, and NLP & PyTorch
                • -
                • Experience with data manipulation and processing, such as SQL or pandas
                • -
                • Demonstrated ability to solve complex problems with an eye for detail, such as scalability and performance of a potential solution
                • -
              -
              -
              -
              Benefits and Perks:
              -
              An engaging remote-first culture
              -
              A great compensation package that includes BenchSci equity options
              -
              15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
              -
              Unlimited flex time for sick days, personal days, religious holidays
              -
              Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
              -
              A $2000 CAD* Annual Learning & Development budget
              -
              A $1000 CAD* home office set-up budget
              -
              A $2500 CAD*wellness, lifestyle and productivity spending account for employees
              -
              Generous parental leave benefits with a top-up plan or paid time off options
              -
              *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Amounts are subject to change for start dates in 2024.
              -

              -
              About BenchSci:
              -
              BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
              -
              Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
              -

              -
              Our Culture:
              -
              BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
              -
              We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
              -
              You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
              -

              -
              -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
              -

              -
              -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
              -

              -
              #LI-Remote
              -
              ",,https://jobs.lever.co/benchsci/fe2e10f6-310f-483d-88bd-4f1393d9585a?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-12-11T16:35:03.250Z,False,0,5,127,https://talenthub.vectorinstitute.ai/jobs/291880545-senior-machine-learning-engineer-research-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/fe2e10f6-310f-483d-88bd-4f1393d9585a,expired,2023-11-30T16:29:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, -d91e9769-2b0a-48cb-9d55-65caf2276cfb,290389895,RBC,"Manager, Strategic Reporting and Analytics (Contract)",on_site,"Toronto, ON, Canada",2023-11-23T12:23:03.437Z,"
              -

              Job Summary

              -

              -

              -

              Job Description

              -

              What is the opportunity?

              -

              -

              The successful candidate has a proactive & strong analytical and data mindset. You can proactively manage relatively complex reporting projects and data analysis independently and act effectively as a consultant with our internal partners. Your expertise in data visualization, data analytics and proficiency in Tableau will enable us to enhance the quality of our data-driven business decisions. As a hybrid remote/in-office position you will directly report to the Senior Manager, Strategic Reporting & Insights fostering a collaborative and supportive work environment.

              -

              -

              -

              What will you do?

              -

              -
                -
              • Design, build and implement visually appealing and intuitive Tableau dashboards including a high level of complexity that serve as both self-serve sources of information and supports the analytical insights required to drive data-driven business decision
              • -
              • Analyze data to uncover trends, patterns and insights using a variety of analytical methods and translate them into prescriptive output. Communicate data insights through storytelling to a varied audience from front-line managers to executives
              • -
              • Work closely with the Data Engineering team to produce well-governed datasets that will enable reporting, data analytics and Tableau workbook performance optimization
              • -
              • Collaborate with internal stakeholders as a subject-matter-expert on data visualization and analytics. Recommend reporting and analytics solutions while driving a positive internal client experience
              • -
              • Investigate and resolve data & reporting issues and solution ad-hoc requests
              • -
              • Build your knowledge on-the-job in the areas of insurance products, distribution channels and various datasets
              • -
              -

              -

              What will you need to succeed?

              -

              -

              Must-Have

              -
                -
              • Strong knowledge of Tableau Desktop, Python, MS Excel, SQL (or similar language) and dashboard building methodologies
              • -
              • Strong knowledge of analytical methods (e.g. exploratory, descriptive, predictive)
              • -
              • Proficient in using and manipulating large datasets
              • -
              • Ability to proactively solve & manage data and reporting problems
              • -
              • Positive attitude, team player, effective communications and collaboration skills + a strong internal client satisfaction outlook
              • -
              • Post-secondary education in math / computer science / data analytics or equivalent experience
              • -
              -

              -

              Special Conditions

              -

              Please note, this is a 12 month contract position

              -

              -

              What’s in it for you?

              -
                -
              • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
              • -
              • Competitive pay and high-earning potential
              • -
              • All the tools, training, and team support you need to grow your business and career
              • -
              • Flexible work/life balance options
              • -
              • Sophisticated RBCI software tools to boost your productivity and grow your business
              • -
              -

              -

              RBC Insurance is an organization that succeeds by bringing out the best in its people. You’ll be part of a supportive, inclusive team that shares common values – including a fundamental respect for each other. At the heart of this is a commitment to diversity. RBC respects and responds to the many competing and evolving priorities in our lives – so you can focus on what you can do best – putting clients first.

              -

              -

              -

              Job Skills

              Big Data Management, Budgeting, Business Performance Management, Critical Thinking, Knowledge Organization, Long Term Planning, Performance Management (PM)

              -

              -

              -

              Additional Job Details

              -

              Address:

              MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

              City:

              MISSISSAUGA

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Insurance

              Job Type:

              Contract (Fixed Term)

              Pay Type:

              Salaried

              Posted Date:

              2023-11-20

              Application Deadline:

              2023-12-04

              -

              -

              -

              -

              -
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              -

              -

              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000072399/Manager-Strategic-Reporting-and-Analytics-Contract,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-12-04T21:05:00.000Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/290389895-manager-strategic-reporting-and-analytics-contract-at-rbc,,expired,2023-11-23T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -1ee15eb5-2127-41e5-be1e-866581dde9f1,289139832,Sun Life Financial,"Manager, Data Analytics",on_site,"Ontario, Canada",2023-11-20T12:29:01.866Z,"
              -

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              -

              -

              -

              Job Description:

              -

              Location: Hybrid

              -

              -

              Reporting to the Director, Product & Prospr Analytics, the Manager, Data Analytics will lead a team of data analysts and be responsible for the development and delivery of analytical solutions and reporting for the Prospr digital journey, growth, and sales teams. As a key stakeholder to the success of the Prospr team, the Manager, Data Analytics partners closely with our business partners to understand the business and their needs and leverage data (internal and external) to provide high impact analytics and insights to accelerate the growth of the Prospr business.

              -

              -

              What you will do

              -
                -
              • Work with stakeholders to draw business insights from analytical outputs

              • -
              • Communicate recommendations and data insights to leadership teams

              • -
              • Effectively manage multiple workstreams and lead the team to deliver business value

              • -
              • Establish automated reporting on key performance metrics (KPIs) using Tableau

              • -
              • Automate, improve, transform existing reporting processes to better meet the needs of stakeholders

              • -
              • Become a data subject matter expert by working with our IT and business partners across the organization

              • -
              • Implement best practices in all steps of the analytical process from requirement gathering to analytical outputs and presentations

              • -
              -

              -

              What you need to succeed

              -
                -
              • Undergraduate degree in Mathematics, Computer Science, Engineering or equivalent

              • -
              • 2+ years experience leading data teams and/or large scale projects

              • -
              • 5+ years in data analysis, business intelligence and visualization

              • -
              • Communication and presentation skills

              • -
              • Experience working in a sales and/or marketing organization

              • -
              -

              -

              Technical skills

              -
                -
              • Data analysis and querying large datasets with SQL (e.g. SQL Server, PostgresSQL, Oracle, Snowflake)

              • -
              • Data visualization / dashboarding with Tableau or equivalent

              • -
              • Data analysis and visualization using Excel

              • -
              • Data analysis with Python (e.g. Pandas, Numpy, Matplotlib, Jupyter Notebook)

              • -
              • Familiarity with AWS data toolsets (e.g. Glue, Redshift, Sage Maker, etc.)

              • -
              • Familiarity with Data automation / orchestration (e.g. Airflow, Informatica)

              • -
              -

              -

              Reliability Status

              -

              -

              Must be able to obtain Reliability Status through the Government of Canada (includes a background check with fingerprinting by the RCMP).

              -

              -

              Why join Sun Life

              -
                -
              • Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

              • -
              • A friendly, collaborative and inclusive culture

              • -
              • A collaborative and interactive team environment

              • -
              • Being part of our journey in developing the next greatest digital experience

              • -
              • Working together, sharing common values and encouraging growth & achievement

              • -
              -

              -

              #LI-Hybrid

              -

              -

              -

              -

              -

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              -

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              -

              -

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              -

              -

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              -

              -

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              -

              -

              Salary Range:

              76,000/76 000 - 125,000/125 000

              -

              Job Category:

              Advanced Analytics

              -

              Posting End Date:

              30/11/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Data-Analytics_JR00088982?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-04T12:36:02.836Z,False,0,2,102,https://talenthub.vectorinstitute.ai/jobs/289139832-manager-data-analytics-at-sun-life-financial,,expired,2023-11-20T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -1e12bee2-91ac-4625-ba75-236bbfae09f6,290487717,NVIDIA,Developer Advocate - Deep Learning,full,Canada,2023-11-23T21:03:21.486Z,"

              NVIDIA software powers today's breakthroughs in deep learning! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the deep learning software stack and ecosystem! This role will craft the fundamental technical content educating developers how to use deep learning features through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA Deep Learning platform. Do you appreciate the value of a well-done design guide? Do you watch how-to tutorial videos next to your command-line interface? If so, we'd like your help empowering developers across deep learning training and inference.

              -

              -

              What You'll be Doing:

              -
                -
              • Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content
              • -
              • Deliver training material to external technical audiences through developer.nvidia.com and developer events
              • -
              • Be the evangelist and champion for Deep Learning among the NVIDIA developer community
              • -
              • Help channel customer usability feedback from the external community and partner with internal teams to improve NVIDIA products
              • -
              • Provide code guidelines to deep learning developers by implementing samples and proof of concept applications
              • -
              -

              What We Need to See:

              -
                -
              • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
              • -
              • 3+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company
              • -
              • 1+ year of experience with deep learning or machine learning
              • -
              • Strong knowledge of Python or C/C++, programming techniques, and software development
              • -
              • Strength presenting to technical audiences and generating content for developers
              • -
              • Prior success juggling multiple projects at a time
              • -
              -

              Ways to Stand Out from the Crowd:

              -
                -
              • Master's degree from a leading university in an Engineering or Computer Science related field
              • -
              • 2+ years of machine learning or deep learning experience
              • -
              • Advanced knowledge of modern Deep Learning software architecture and applications
              • -
              • Existing public facing technical content or forum contributions
              • -
              • Familiarity with TensorFlow, PyTorch, or other Deep Learning Frameworks
              • -
              • Direct development experience with NVIDIA software and SDKs
              • -
              -

              -

              With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to unprecedented growth, our company is growing fast. If you're creative and have a genuine passion for technology, we want to hear from you.

              -

              The base salary range is 75,000 CAD - 149,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

              -

              You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

              -

              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Developer-Advocate---Deep-Learning_JR1975199,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-07T21:04:00.000Z,False,0,16,140,https://talenthub.vectorinstitute.ai/jobs/290487717-developer-advocate-deep-learning-at-nvidia,,expired,2023-11-23T21:03:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -306abe1c-bc88-4f72-9391-ac0934546bde,286004243,NVIDIA,"Research Engineer, Simulation Technology - New College Grad 2023",on_site,"Toronto, ON, Canada",2023-11-06T19:33:55.817Z,"

              NVIDIA Toronto AI Lab is looking for exceptional researchers and research engineers to join our 3D reconstruction and simulation team. Our team is passionate about pushing the boundaries of research, while focusing on real-world problems and making an impact on the NVIDIA products. We are particularly interested in advancing the methods for reconstructing simulation environments from captured sensor data, with application in Autonomous Driving, Robotics, and more. You will work closely with a group of high-skilled and motivated researchers that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes 3D computer vision, reconstruction, generative AI and so forth.

              -

              -

              What you will be doing:

              -
                -
              • Developing, deploying, optimizing, and maintaining common aspects related to novel neural 3D reconstructions frameworks.
              • -
              • Architecting and implementing infrastructure and features in Python, CUDA, and C++.
              • -
              • Devising and implementing data-processing and visualization components to support the development of novel neural reconstructions facilities.
              • -
              • Exposing common functionality for data-processing / reconstruction as reusable libraries to research teams.
              • -
              • Working with research and engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stacks.
              • -
              -

              -

              What we need to see:

              -
                -
              • Pursuing or hold a Ph.D. in Computer Science/Engineering, Statistics, Electrical Engineering, etc., or relevant field with an outstanding research track record.
              • -
              • Experience in architecting or developing large-scale distributed GPU-enabled and dockerized machine-learning systems.
              • -
              • Excellent programming skills and strong experience in CUDA / graphics programming.
              • -
              -

              -

              Ways To Stand Out From a Crowd:

              -
                -
              • Knowledge and experience on the theory and practice of 3D computer vision, with a focus on 3D reconstruction.
              • -
              • Experience with common deep-learning frameworks such as pytorch.
              • -
              • DevOps experience related to distributed build / CI systems such as bazel.
              • -
              -

              -

              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and have a passion to impact the world? If so, apply today!

              -

              The base salary range is 123,750 CAD - 338,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

              -

              You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Research-Engineer--Simulation-Technology---New-College-Grad-2023_JR1971874,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-06T19:34:00.000Z,False,0,13,172,https://talenthub.vectorinstitute.ai/jobs/286004243-research-engineer-simulation-technology-new-college-grad-2023-at-nvidia,,expired,2023-11-06T19:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -0ba417c1-6aa3-40e1-b178-32d9dc8d521e,295867487,Scotiabank,Velocity - Global Risk Management Internship/Co-Op - Summer 2024,on_site,Canada : Ontario : Toronto,2023-12-18T16:26:02.074Z,"

              -

              -

              -

              -

              Requisition ID: 189981

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Velocity – Global Risk Management Internship/Co-Op – Summer 2024

              -

              -

              Term: May-August 2024

              -

              Application Deadline: 01/26/2024

              -

              -

              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              -

              -

              The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

              -

              -

              What is Global Risk Management?

              -

              -

              Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to an interest in capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

              -

              -

              About the GRM, Business Banking Credit Risk Stream:

              -

              The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

              -

              -

              About the GRM, Enterprise Risk Stream:

              -

              GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

              -

              -

              About the GRM, Market Risk Stream:

              -

              The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

              -

              -

              About the GRM, Retail Credit Risk Stream:

              -

              The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
              • You are currently working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Finance, Economics, Risk Management, or related financial discipline
              • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices
              • Knowledge of Python, SQL, VBA, MS Office is an asset
              • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner
              • Attention to detail with a strong ability to multi-task while maintaining a high work standard
              • Demonstrated flexibility in adapting to constantly changing environments
              • -
              -

              -

              What’s in it for you?

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • -
              -

              -

              How do I apply?

              -

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

              -

              -
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete a short one-way video interview here.
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
              4. -
              -

              -

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-Op-Summer-2024-ON/576594317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,1,77,https://talenthub.vectorinstitute.ai/jobs/295867487-velocity-global-risk-management-internship-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-Op-Summer-2024-ON/576594317/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -8cb7474e-8028-4eb1-b3d2-c176f0770183,296508144,Scotiabank,Wealth Management - Data Analytics Intern/Co-op Summer 2024,on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.772Z,"

              -

              -

              -

              -

              Requisition ID: 190033

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Term: May – August 2024

              -

              Application deadline: 01/26/2024

              -

              -

              There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              -

              -

              Is this role right for you? In this role, you will:

              -

              -
              • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
              • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
              • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
              • Apply analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
              • Make impact by constantly identifying and implementing process improvements
              • -
              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -

              -
              • You are currently enrolled in post-secondary education.
              • -
              -
              • You have strong written/verbal communication and project management skills.
              • -You have knowledge/experience in:
                • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                • Interpreting and consolidating large amounts of information in actionable recommendations.
                • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                • Visualization tools like PowerBI, Tableau or Qlikview
                • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                • Making sense of data, creating reports, and communicating KPI’s
              • -
              -

              -

              How do I apply?

              -

              -

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

              -

              -
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete short one-way video interview here
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
              4. -
              -

              -

              **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Summer-2024-ON/576745117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,3,196,https://talenthub.vectorinstitute.ai/jobs/296508144-wealth-management-data-analytics-intern-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Summer-2024-ON/576745117/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -a77611e1-d225-477b-8c7a-899b7991efee,298833073,TD Bank Group,AML Advisory Analyst Intern/Co-op,on_site,"Toronto, ON",2024-01-04T16:28:14.124Z,"
              -

              Campus Role Type

              -
              Internship/Co-Op and Summer Opportunities
              -

              -

              Start Date

              -
              Summer
              -

              -

              Department Overview

              -
              -

              The TD Bank Group (TD) Global AML Compliance Department is accountable for establishing TD’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TD businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TD operates. This includes ensuring that businesses are aware of the legislation under which they are governed, and providing advice and support as required. The team is also accountable for promoting regulatory compliance by developing and maintaining AML compliance programs, including relevant training, carrying out independent oversight monitoring and meeting reporting requirements.

              -

              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

              -

              Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

              -
                -
              • Leadership talks with key Leaders from across the organization
              • -
              • Lunch and Learns on topics such as Innovation
              • -
              • Diversity and Inclusion and Personal Branding and so much more
              • -
              -
              -

              -

              Job Details

              -
              -

              The Canadian Banking and Global Wealth & Insurance AML team is looking for someone who is interested in a “big picture”, cross-functional governance and monitoring role. The AML Advisory Analyst will support the development and maintenance of a 2nd Line oversight program for the implementation of AML/ATF and sanctions controls in the business lines supported by the Canadian Banking and Global Wealth & Insurance (CBGWI) AML team. The AML Advisory Analyst will execute controls testing procedures, on behalf of the Head of AML, CBGWI, work with business-facing relationship managers on the CBGWI AML team to assess the effectiveness of AML/ATF and sanctions controls, and identify potential areas of improvement for the first line AML/ATF/Sanctions program.

              -

              Other key responsibilities include:

              -
                -
              • Work with members of the CBGWI AML team to ensure key AML/ATF and sanctions controls are designed and operating effectively on an on-going basis.
              • -
              • Evaluations of controls deficiencies and non-compliance to identify root cause in order to facilitate the development of effective action plans.
              • -
              • Develop strong relationships and work collaboratively with business partners who are responsible for providing the information that feeds into the monitoring program
              • -
              • Effectively identify emerging risks through advanced analysis of high-volume and complex data that require further consideration or escalation
              • -
              • Contributes to the reporting of program results, trends, themes, and emerging risks, as delivered by the Head of AML – Canadian Banking and Global Wealth & Insurance (CBGWI)
              • -
              • Collaborates with other members of the CBGWI AML team to foster a “culture of compliance” within the business units.
              • -
              -
              -

              -

              Job Requirements

              -
                -
              • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
              • -
              • A curious and inquisitive mindset, with a proven ability to work effectively in a cross-functional, fast-paced and evolving environment.
              • -
              • Perform data manipulation and apply analytic techniques to derive insights from complex data into reports and presentations for dissemination to an executive audience
              • -
              • Ability to corroborate structured and non-structured data to tell a coherent and insightful story.
              • -
              • Ability to grasp new concepts/information to facilitate effective risks identification and controls evaluation.
              • -
              • Excellent business acumen and good understanding of risk and controls evaluation processes such as those for financial reporting or operations.
              • -
              • Strong critical thinking, organizational and problem solving skills
              • -
              • Superior writing skills with the ability to draft superior quality assessments/reports, policies, procedures and business correspondence
              • -
              • Proactive and motivated, with demonstrated consensus building skills
              • -
              -

              -

              Additional Information

              -
                -
              • This position is a 4-month work term and will commence May 6th – August 30th 2024. -
              • -
              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
              • -
              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
              • -
              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
              • -
              • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
              • -
              -

              -

              Company Overview

              -
              -Our Values
              At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              -

              Making Your Well-being a Priority
              A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

              -

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              -

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              -

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
              TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              -
              -

              -

              Inclusiveness

              -
              -Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              -

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              -

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              -

              We look forward to hearing from you!

              -
              -

              -
              ",,https://jobs.td.com/en-CA/jobs/19647043/aml-advisory-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-29T18:56:00.000Z,False,0,2,103,https://talenthub.vectorinstitute.ai/jobs/298833073-aml-advisory-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19647043/aml-advisory-analyst-intern-co-op-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -83b0feac-cdd6-4bf8-82ef-034bfba8f685,296401066,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-12-21T06:38:01.297Z,"
              -
              -

              What\'s the opportunity?

              -

              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

              -

              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

              -
              -
              -

              Your responsibilities include:

              -
                -
              • Developing novel AI solutions that facilitate impactful products;
              • -
              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
              • -
              • Working with the development team to transfer research work into production;
              • -
              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
              • -
              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
              • -
              -
              -
              -

              You’re our ideal candidate if you have:

              -
                -
              • A passion for solving open problems using data and algorithms;
              • -
              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
              • -
              • Ability to formulate and drive a research project independently without close supervision;
              • -
              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
              • -
              -
              -
              -

              What’s in it for you?

              -
              -
                -
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • -
              • Leaders who support your development through coaching and managing opportunities;
              • -
              • Ability to make a difference and lasting impact from a local-to-global scale.
              • -
              -

              About Borealis AI

              -
              -
              -
              -

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              -

              Inclusion and Equal Opportunity Employment

              -

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              -
              -
              ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-02-01T17:32:28.115Z,False,0,21,165,https://talenthub.vectorinstitute.ai/jobs/296401066-machine-learning-researcher-at-borealis-ai,,expired,2023-12-21T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -91e9ae11-8fec-4cbf-b284-ec2ff01133fb,295709689,Cohere AI,Member of Technical Staff,on_site,"Toronto, ON, Canada",2023-12-17T16:34:01.837Z,"
              -
              Who are we?
              -
              Cohere is focused on building and deploying large language model (LLM) AI into enterprises in a safe and responsible way that drives human productivity, and creates magical new ways to interact with technology and real business value. We’re a team of highly motivated and experienced engineers, innovators, and disruptors looking to change the face of technology.
              -

              -
              Our goals are ambitious, but also concrete and practical. Cohere wants to fundamentally change how businesses operate, making everyone more productive and able to focus on doing better what they do best. Every day, our team breaks new ground, as we build transformational AI technology and products for enterprise and developers to harness the power of LLMs.
              -

              -
              Cohere was founded by three global leaders in AI development, including our CEO, Aidan Gomez, who co-created the Transformer, which makes LLMs possible. Collectively, we're driven by the belief that our technology has the potential to revolutionize the way enterprises, their employees, and customers engage with technology through language.
              -

              -
              Cohere’s broader research team is world-renowned, having contributed to the development of sentence transformers for semantic search, dynamic adversarial data collection and red teaming, and retrieval augmented generation, often referred to as “RAG,” among other technological breakthroughs.
              -

              -
              We have been deliberate in assembling a team of operational leaders with industry-leading experience, with backgrounds working at the most sophisticated, demanding, and respected enterprises in the world. Cohere’s operational leaders have built, scaled, and led multi-billion product lines and businesses at Google, Apple, Rakuten, YouTube, AWS, and Cisco.
              -

              -
              The Cohere team is a collective from all walks of life, from people who left college to start businesses, to some of the most experienced people from globally renowned companies. We believe a diverse team is the key to a safer, more responsible technology, and that different experiences and backgrounds enable us to tackle problems from all angles and avoid blindspots.
              -

              -
              There’s no better time to play a role in defining the future of AI, and its impact on the world.
              -

              -
              Why this role?
              -
              Design and implement novel research ideas.
              -

              -
              Ship state of the art models to production.
              -

              -
              Deep connections to academia.
              -

              -
              We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
              -

              -
              -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
              -
              -

              As a Member of Technical Staff, you will:

              -
                  -
                • Design, train and improve upon cutting-edge models
                • -
                • Develop new techniques to train and serve models safer, better, and faster
                • -
                • Train extremely large scale models on massive datasets
                • -
                • Engage in research collaborations with our partner organizations and academic affiliations
                • -
                • Publish your work in top-tier conferences and journals
                • -
                • Work closely with product teams to develop solutions
                • -
                • Assist our legal teams with preparation of patents on developed IP
                • -
                • Join us at a pivotal moment, shape what we build and wear multiple hats!
                • -
              -
              -

              You may be a good fit if you have:

              -
                  -
                • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                • -
                • Experience using large-scale distributed training strategies
                • -
                • Familiarity with autoregressive sequence models, such as Transformers
                • -
                • Strong communication and problem-solving skills
                • -
                • A demonstrated passion for applied NLP models and products
                • -
                • -Bonus: experience writing kernels for GPUs using CUDA
                • -
                • -Bonus: experience training on TPUs
                • -
                • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                • -

                  -
                  * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                  -
              -
              -

              -

              -
              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
              -

              -
              We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
              -

              -
              Our Perks:
              -
              🤝 An open and inclusive culture and work environment
              -
              🧑‍💻 Work closely with a team on the cutting edge of AI research
              -
              🍽 Weekly lunch stipend, in-office lunches & snacks
              -
              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
              -
              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
              -
              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
              -
              🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
              -
              ✈️ 6 weeks of vacation
              -

              -
              Note: This post is co-authored by both Cohere humans and Cohere technology.
              -
              ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-02-01T16:37:19.605Z,False,0,12,51,https://talenthub.vectorinstitute.ai/jobs/295709689-member-of-technical-staff-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2023-12-17T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -caf51e01-b56f-4f79-b2a4-064834514245,301156578,TD Bank Group,"Senior Manager, AI/ML Model Validation",on_site,"Toronto, ON",2024-01-18T16:28:04.439Z,"
              -

              Hours

              -
              37.5
              -

              -

              Workplace Model

              -
              Hybrid
              -

              -

              Pay Details

              -

              We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

              -

              -

              Department Overview

              -
              The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence / Machine Learning (AI/ML) Model Validation team within MV is responsible for the review/vetting and approval of AI/ML models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance). By ensuring an objective and independent evaluation of models, the Model Validation function is critical to the effective measurement and management of model risk across the TD Bank Group.
              -

              -

              Job Details

              -
              The position reports to AVP, AI/ML Model Validation group. Detailed accountabilities include:

              -
                -
              • Lead a team of Machine Learning and Data Scientists to perform validation of all AI/ML models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for computing credit risk, adjudication of retail products, marketing, fraud detection, NLP, cyber security, personal banking, etc.
              • -
              • Recommend the approval of models or other corrective actions based on the independent validation.
                  -
                • Lead and Support a team of model validators
                • -
                • Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
                • -
                • Communicate group objectives and strategies and align group activities in support of business objectives.
                • -
                -
              • -
              • Support employee development activities, coach and support direct reports in meeting their personal development objectives.
              • -
              • Assume a leadership role in developing standards and procedures for vetting and validation of AI/ML models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
              • -
              • Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
              • -
              • Work effectively with internal Model Development groups, Audit, and other internal partners to ensure AI/ML models meet required Bank standards for use.
              • -
              • Play a key role in ensuring the appropriate use of AI/ML models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
              • -
              • Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on AI/ML modeling and validation.
              • -
              -
              -

              -

              Job Requirements

              -
                -
              • Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, finance, engineering, software engineering, statistics, economics / econometrics, mathematics
              • -
              • In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications. Understanding of weaknesses and limitation of popular ML modeling approaches.
              • -
              • Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, EBM (GA2M)
              • -
              • Knowledge and Experience with Deep Learning models for tabular data, and/or unstructured data such as text.
              • -
              • In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques
              • -
              • Ability to research and implement Machine Learning algorithms from academic research papers is a plus
              • -
              • 4 year + Experience in either developing or validating AI/ML models; and 2 year + Experience in leading a small team
              • -
              • Proficient in relevant programming languages such as Python, PySpark, SQL. Experience with Microsoft Azure cloud infrastructure, Databricks is an asset.
              • -
              • Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
              • -
              • Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
              • -
              • Strong critical and analytic thinking skills.
              • -
              • Excellent time / project management and multitasking skills with minimal supervision.
              • -
              • Stay up to date with the latest advancements in data science, machine learning, AI, and cloud technologies
              • -
              -

              -

              Proficiency in Other than French

              -
              This position requires proficiency in a language other than French to support or deal with employees or colleagues who require services and support in a language other than French.
              -

              -

              Company Overview

              -
              -Our Values
              At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

              -

              Making Your Well-being a Priority
              A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

              -

              Our Total Rewards Package
              Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

              -

              How We Work
              At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

              -

              Who We Are
              TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
              TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

              -
              -

              -

              Inclusiveness

              -
              -Our Commitment to Diversity, Equity, and Inclusion
              At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

              -

              Accommodation
              Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

              -

              How We’re Helping Make an Impact in Communities
              TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

              -

              We look forward to hearing from you!

              -
              -

              -
              ",,https://jobs.td.com/en-CA/jobs/19550160/senior-manager-ai-ml-model-validation-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-02T02:07:00.000Z,False,0,4,79,https://talenthub.vectorinstitute.ai/jobs/301156578-senior-manager-ai-ml-model-validation-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19550160/senior-manager-ai-ml-model-validation-toronto-ca/,expired,2024-01-18T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -34bfb179-6eb4-4c8d-8711-7a74a27ceafd,301109576,RBC,"Senior Analyst, Data Sourcing",on_site,"Toronto, ON, Canada",2024-01-18T06:29:01.745Z,"
              -

              Job Summary

              In the increasingly complex world of financial services, accurate and complete data is critical for risk management and regulatory compliance. Ensuring data integrity begins with an understanding of financial services data. As a Senior Analyst, Data Sourcing, you will be accountable for ensuring that Systems of Records (SORs) and Authorized Provisioning Points (APPs) are identified, declared, promoted, and utilized, in order to be in compliance with the RBC Enterprise Data Management and Reporting Policy/Standards. This will also drive improvements in making data more accessible, usable, and promote a culture of data sharing through the organization. Reporting to the Associate Director, you will identify and maintain new/existing SOR/APPs in the Enterprise tool, Collibra, and steer the entire process through to declaration for domains across the organization, including, but not limited to, Credit Risk, Market Risk, US IHC, and CNB.

              -

              -

              Job Description

              -

              What will you do?

              -
                -
              • Provide an end-to-end service for fully managed domains by facilitating the identification, declaration, recording, and maintenance of SORs/APPs across the enterprise.
              • -
              • Act as advisors to self-managed domains by providing initial onboarding support to enable domains in performing the end-to-end process.
              • -
              • Provide ongoing support to facilitate self-managed domains in declaring and maintaining SORs/APPs.
              • -
              • Assist in resolving any disputes regarding SORs/APPs by referring to the Data Sourcing Committee, as needed.
              • -
              • Develop standardized and ad-hoc reporting to communicate progress, trends, and insights to business partners and management.
              • -
              • Analyze lineage and control documentation for critical data elements to assist in investigating SORs/APPs.
              • -
              • Co-chair the monthly Data Sourcing Committee, and act as delegate to the Chair as needed.
              • -
              • Regularly present material and findings to management and stakeholders.
              • -
              • Gain an in-depth understanding of RBC’s tools and systems.
              • -
              • Use Collibra to log, record, and maintain SORs/APPs for critical data elements.
              • -
              • Propose process changes/improvement to address identified gaps or inconsistencies in data, processes and/or controls.
              • -
              • Collaborate closely, and maintain working relationships, with the SDMO Lineage team, SDMO Risk and Controls team, SDMO Metadata team, Report Owners, Data Management Offices, and other relevant stakeholders.
              • -
              • Work with the Chief Data Office and other Data Management Offices to support the standards and best practices to improve data quality, participating in initiatives to raise awareness and drive improved data quality across the organization (e.g. Data Working Groups, Data Literacy projects). -
              • -
              • Prepare and maintain detailed procedural documentation.
              • -
              • Assist the Associate Director and Director with other ad-hoc tasks, as required.
              • -
              -

              -

              -

              Job Skills

              Business Documentation, Business Process Documentation, Communication, Critical Thinking, Data Administration, Data Analysis, Data Management, Data Movement, Data Quality, Detail-Oriented, Information Capture, Microsoft Excel, Presentations, Problem Solving, Standard Operating Procedure (SOP), Teamwork, Technical Documents

              -

              -

              -

              Additional Job Details

              -

              Address:

              BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

              City:

              TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              STRATEGY AND ADMINISTRATION

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2024-01-16

              Application Deadline:

              2024-01-30

              -

              -

              -

              -

              -
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              -

              -

              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000075989/Senior-Analyst-Data-Sourcing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-01-25T06:34:02.119Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/301109576-senior-analyst-data-sourcing-at-rbc,,expired,2024-01-18T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -c79e9b4c-8bb3-4410-b8bd-9ad05435f16b,303083928,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2024-01-29T06:45:02.173Z,"
              -

              At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

              -

              -

              Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Montreal, QC from May – August 2024.

              -

              Job Summary

              -

              The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

              -

              Major Responsibilities

              -
                -
              • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
              • -
              • Publish research findings to ML conferences might be a possibility
              • -
              • Support Data Scientist and ML Developer on the design and development of ML Solutions
              • -
              • Translate the technology solution architecture into engineering and software development standards and specifications
              • -
              • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
              • -
              • Conduct code reviews and ensure coding standards
              • -
              -

              Requirements

              -
                -
              • Experience with Python, Shell, and other scripting languages
              • -
              • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
              • -
              • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
              • -
              • Applies critical thinking
              • -
              • Communicates with impact
              • -
              • Solves problems to create value
              • -
              • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
              • -
              -

              Education

              -
              • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
              -

              *Any experience/education/skills/knowledge for these above would be considered as an asset

              -

              -

              -

              -

              -

              -

              -

              -

              -

              -

              -

              -

              -

              About CN

              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

              -

              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

              -
              ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11957?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-02-05T22:21:00.000Z,False,0,19,95,https://talenthub.vectorinstitute.ai/jobs/303083928-intern-data-scientist-computer-vision-at-cn,,expired,2024-01-29T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -81d59fe1-82ec-4017-92d6-656a000cf33e,309235113,Cohere AI,"Member of Technical Staff, Inference & Model Serving",on_site,"Toronto, ON, Canada",2024-02-29T16:34:02.875Z,"
              -
              Who are we?
              -
              Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
              -

              -
              We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
              -

              -
              Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
              -

              -
              Join us on our mission and shape the future!
              -

              -
              Why this role?
              -
              Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
              -

              -
              We are looking for candidates with a range of experiences for multiple roles.
              -

              -
              -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. -
              -

              -

              -
              -
              -

              You may be a good fit if you have:

              -
                  -
                • Experience with serving ML models.
                • -
                • Experience designing, implementing, and maintaining a production service at scale.
                • -
                • Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures.
                • -
                • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference.
                • -
                • Strong understanding or working experience with distributed systems.
                • -
                • Experience in performance benchmarking, profiling, and optimization.
                • -
                • Experience with cloud infrastructure (e.g. AWS, GCP).
                • -
                • Experience in Golang (or, other languages designed for high-performance scalable servers).
                • -
              -
              -
              -

              -

              -
              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
              -

              -
              We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
              -

              -
              Our Perks:
              -
              🤝 An open and inclusive culture and work environment
              -
              🧑‍💻 Work closely with a team on the cutting edge of AI research
              -
              🍽 Weekly lunch stipend, in-office lunches & snacks
              -
              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
              -
              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
              -
              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
              -
              🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
              -
              ✈️ 6 weeks of vacation
              -

              -
              Note: This post is co-authored by both Cohere humans and Cohere technology.
              -
              ",,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,feed-importer@jobboard.io,,,,2024-03-30T18:48:58.047Z,False,0,11,68,https://talenthub.vectorinstitute.ai/jobs/309235113-member-of-technical-staff-inference-model-serving-at-cohere-ai,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,expired,2024-02-29T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -caa17a65-4123-4bf2-bd84-1d8d1b695dda,314922619,CIBC,"Sr. Analyst, Fraud Management",on_site,"Ontario, Canada",2024-03-28T06:24:03.709Z,"
              -

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              -

              -

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              -

              -

              To learn more about CIBC, please visit CIBC.com

              -

              -

              -

              What You will Be Doing

              -

              -

              Ongoing support and data mining and analysis associated with transaction monitoring within CIBC’s fraud mitigation systems. Developing monitoring algorithms, implementing new strategies, and continuous improvement to existing strategies, associated with fraud monitoring systems. Collaborating with internal and external stakeholders to ensure successful deployment of fraud solutions associated with transaction monitoring and fraud detection. Provide support to projects related to transaction monitoring systems. Support and conduct feasibility studies and analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

              -

              -

              At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

              -

              -

              How You will Succeed

              -
                -
              • -Analytical Thinking – Improve fraud monitoring by creatively responding to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis to clearly depict fraud mitigation rule options and recommended courses of action.
              • -
              • -Data Management – Creation and maintenance of computer programs (ex: SAS, SQL, Python) to access a decision support data repository. Database management/querying, and computer programming/software expertise.
              • -
              • -Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.
              • -
              -

              -

              Who You Are

              -
                -
              • -You give meaning to data. You enjoy investigating complex problems and making sense of information. You are confident in your ability to communicate detailed information in an impactful way. You have experience using SQL, SAS EG, SAS Miner, Tableau and/or Python.
              • -
              • -You have a degree/diploma in an Analytics/Statistics/Computers Based discipline. Master’s level degree would be an asset.
              • -
              • -You love to learn. You are passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
              • -
              • -You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what is possible. You are curious and proactive; you constantly offer innovative solutions based on sound analysis.
              • -
              • -Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability. -
              • -
              -

              -

              What CIBC Offers

              -

              -

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              -
                -
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

              • -
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • -
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • -
              -

              -

              *Subject to plan and program terms and conditions

              -

              -

              What you need to know

              -
                -
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • -
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • -
              -

              -

              -

              -

              -

              -

              Job Location

              Toronto-CC East 12th Floor

              -

              Employment Type

              Regular

              -

              Weekly Hours

              37.5

              -

              Skills

              Analytical Thinking, Customer Experience (CX), Fraud Investigations, Fraud Monitoring, Group Problem Solving, Reporting and Analysis
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Fraud-Management_2405318?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-01T06:29:04.189Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/314922619-sr-analyst-fraud-management-at-cibc,,expired,2024-03-28T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ebd36121-f35d-48a7-97db-72134f362acd,310721853,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-03-07T06:38:02.439Z,"
              -
              -

              What\'s the opportunity?

              -

              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

              -

              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

              -
              -
              -

              Your responsibilities include:

              -
                -
              • Developing novel AI solutions that facilitate impactful products;
              • -
              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
              • -
              • Working with the development team to transfer research work into production;
              • -
              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
              • -
              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
              • -
              -
              -
              -

              You’re our ideal candidate if you have:

              -
                -
              • A passion for solving open problems using data and algorithms;
              • -
              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
              • -
              • Ability to formulate and drive a research project independently without close supervision;
              • -
              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
              • -
              -
              -
              -

              What’s in it for you?

              -
              -
                -
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • -
              • Leaders who support your development through coaching and managing opportunities;
              • -
              • Ability to make a difference and lasting impact from a local-to-global scale.
              • -
              -

              About Borealis AI

              -
              -
              -
              -

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              -

              Inclusion and Equal Opportunity Employment

              -

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              -
              -
              ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-04-01T06:43:02.507Z,False,0,9,99,https://talenthub.vectorinstitute.ai/jobs/310721853-machine-learning-researcher-at-borealis-ai,,expired,2024-03-07T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -fcc8d043-4e75-44c2-a7bb-6a02b5ec5053,324574353,Accenture,Functional & Industry Analytics - Senior Manager,on_site,"Toronto, ON, Canada",2024-05-21T01:31:01.900Z,"
              -

              Job Description

              -
              -

              Data & AI and Analytics Strategist Senior Manager

              -

              Location: Toronto, Montreal, Ottawa

              -

              -

              We Are

              -

              The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

              -

              With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

              -

              -

              You Are

              -

              -

              As a Data, AI and Analytics Strategist, you will play a pivotal role in shaping the vision and creating opportunities for Data & AI led business reinvention. You will use your strong skills and industry knowledge to define and structure an organization’s data and AI strategy to build and optimize a strong data and AI foundation, create new AI solutions and services, driving growth and competitive advantage.

              -

              -

              The Work

              -
                -
              • Assess maturity of an organization’s data and AI foundation.

              • -
              • Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.

              • -
              • Identify, prioritize, and conceptualize new industry specific AI solutions and services in line with business growth strategy.

              • -
              • Create the business case, investment profile and roadmap to deliver on the strategy.

              • -
              • Build a data/AI platform reference architecture and solutions blueprint as a canvas for implementation roadmap.

              • -
              • Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.

              • -
              • Identify people, processes, and technologies to develop and operationalize AI solutions.

              • -
              • Create strategy for AI-first products and develop commercialization opportunities.

              • -
              • Lead small to medium sized teams with diverse backgrounds skills and knowledge.

              • -
              • Effectively manage and coach others, collaborating with internal and external parties

              • -
              • Support client sales origination and thought leadership development.

              • -
              show more show less
              -

              Qualifications

              -

              Here’s what you need

              -
                -
              • Minimum of 3 years’ experience in Data & AI/Analytics consulting

              • -
              • Minimum of 4 years’ experience in Data & AI Operating Model, Processes, Patterns & Technologies, Platforms Strategy, Solution Architecture, Strategy, Data Value Articulation and Responsible AI.

              • -
              • Basic knowledge of finance enterprise functions including but not limited to accounting, treasury, corporate functions and reporting, controllership, and FP&A

              • -
              • Demonstrated ability to lead project workstreams to completion.

              • -
              -

              -

              Bonus points If

              -
                -
              • You have an MBA

              • -
              • You have experience in one of the following industries: Consumer Goods & Services, Retail, Banking or Media & High Tech.

              • -
              -
              -

              Locations

              -
              Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
              -
              -
              -

              -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

              -
              -

              Our Commitment to Inclusion & Diversity

              -

              At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

              -

              Requesting An Accommodation

              -

              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

              -

              If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

              -

              Other Employment Statements

              -

              It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

              -

              Job candidates are not required to disclose any offence for which a pardon has been granted.

              -
              -
              -
              Share
              -
              Share
              -
              Job Link:
              Copy
              -
              -
              -
              -
              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00212144_en&title=Functional%20%26%20Industry%20Analytics%20-%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-05-27T20:12:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/324574353-functional-industry-analytics-senior-manager-at-accenture,,expired,2024-05-21T01:31:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -ad5c0484-81af-4020-9c60-41cee326f660,324574912,Shopify Inc.,Credit Risk Analyst,on_site,"Ontario, Canada",2024-05-21T01:36:02.556Z,"
              -
              -
              Back
              -

              Credit Risk Analyst

              -
                -
              • -Remote - Americas
              • -
              • Support
              • -
              -
              Apply Now
              -

              About Shopify

              -
              -

              Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

              This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

              -
              -
              -
              -
              -

              About you

              -
              -

              Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

              -Before you apply, consider if you can:
                -
              • Care deeply about what you do and about making commerce better for everyone
              • -
              • Excel by seeking professional and personal hypergrowth
              • -
              • Keep up with an unrelenting pace (the week, not the quarter)
              • -
              • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
              • -
              • Bring critical thought and opinion
              • -
              • Embrace differences and disagreement to get shit done and move forward
              • -
              • Work digital-first for your daily work
              • -
              -
              -
              -
              - -
              -

              About the role

              -
              -

              About the Team

              -

              The Credit Risk Team is responsible for identifying and mitigating losses for merchants processing on the Shopify Payments gateway, all while supporting the growth of the trustworthy and sustainable businesses on our platform. This work includes early detection of signals that indicate business failure, monitoring for high risk patterns of behavior, and keeping up to date on emerging risk vectors (e.g. supply chain constraints, buyer fraud trends), and industry best practices. Given the dynamic, global and fast changing reality of commerce, our work is challenging, impactful and constantly evolving. As Shopify continues to grow and expand its geographical footprint and develop new product offerings, our signals and policies must continually adapt. This work is crucial in ensuring that Shopify remains a trusted platform.

              -

              -

              About the Role

              -

              This role will involve, among other things:

              -
                -
              • Reviewing cases generated by models and pre-set rules, and analyzing a large amount of signals related to identifying, preventing and mitigating credit risk losses on the Shopify platform

              • -
              • Actioning and contacting merchants to address credit risk concerns, setting loss mitigation controls and helping merchants sustainably manage and grow their businesses

              • -
              • Ensuring a low-friction experience for legitimate users by striking the right risk/reward balance

              • -
              • Thinking strategically about how to iteratively improve credit risk detection systems, processes & workflows

              • -
              • Helping to evolve the effectiveness of credit risk signals by identifying and analyzing trends in the wider credit risk space

              • -
              • Influencing team strategy through domain expertise and contributions to initiatives

              • -
              • Having the ability to successfully balance micro and macro perspectives

              • -
              • Ability to work in a fast-paced, constantly evolving environment

              • -
              • Actively assisting team members on complex reviews

              • -
              • Thriving on change and taking ownership without prompting

              • -
              • Executing on tasks in a timely manner with minimal direction

              • -
              • Embracing and working within an ambiguous environment

              • -
              • Collaborating with the team to articulate any newly identified threats, wider credit risk activity, or noted financial risk trends

              • -
              • -

                Having strong analytical, problem-solving, interpersonal, and communication skills (including ability to simplify technical issues)

                -

                -
              • -
              -

              You probably have the following:

              -
                -
              • 3-5 years of experience in a credit risk and/or financial loss prevention environment

              • -
              • Superb investigative, analytical, and decision-making skills

              • -
              • Ability to balance risk mitigation and merchant experience

              • -
              • Excellent organizational and time management skills

              • -
              • Strong understanding of online and brick & mortar commerce and the ability to differentiate the risks between them

              • -
              • Exceptional written and oral communication skills

              • -
              • -

                Amazing team player

                -

                -
              • -
              -

              It would be great if you had experience with:

              -
                -
              • SQL knowledge

              • -
              • Google sheet / looker experience

              • -
              • Financial underwriting

              • -
              • Experience working with a Fintech, card processor, marketplace or commerce platform

              • -
              • Experience handling high value processing and high visibility accounts

              • -
              -

              -

              We know that applying for a new role takes a lot of work and we truly value your time. This posting will close on May 30th, 2024 at 11:00 PM EDT. We look forward to reviewing your application!

              -
              -
              -
              -
              -

              We hire people, not resumes. If you think you’re right for the role, apply now.

              -
                -
                Apply Now
                -

                First things first

                -
                -
                We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
                -
                -
                I am always seeking (often uncomfortable) growth and deepening my craft expertise
                -
                I thrive on change in an ambiguous environment and can keep pace to ship weekly
                -
                I want to work remotely for my daily work
                +

                +

                We know that applying for a new role takes a lot of work and we truly value your time. This posting will close on May 30th, 2024 at 11:00 PM EDT. We look forward to reviewing your application!

                +
                +
                +
                +
                +

                We hire people, not resumes. If you think you’re right for the role, apply now.

                +
                  +
                  Apply Now
                  +

                  First things first

                  +
                  +
                  We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
                  +
                  +
                  I am always seeking (often uncomfortable) growth and deepening my craft expertise
                  +
                  I thrive on change in an ambiguous environment and can keep pace to ship weekly
                  +
                  I want to work remotely for my daily work

                  It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                  Submit

                  Application

                  @@ -34796,613 +33294,1721 @@ bde77ceb-0cd9-4795-a17f-e0494371c9dd,320386669,Shopify Inc.,Data Engineering,on_
                  I thrive on change in an ambiguous environment and can keep pace to ship weekly
                  I want to work remotely for my daily work
                  -

                  It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                  Submit
                  -

                  Application

                  -
                  -

                  *Required

                  -
                  -
                  -
                  Name*
                  -
                  Email*
                  -
                  Resume*
                  -
                  Linkedin Profile*
                  -
                  -Location*
                  +

                  It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                  Submit
                  +

                  Application

                  +
                  +

                  *Required

                  +
                  +
                  +
                  Name*
                  +
                  Email*
                  +
                  Resume*
                  +
                  Linkedin Profile*
                  +
                  +Location*
                  +
                  +
                  Do you have the right to work in your listed location?* +
                  +
                  +Which track are you interested in pursuing with Shopify?*
                  +Individual ContributorPeople Manager
                  +
                  +
                  +How many years of professional experience do you have in data engineering, not including academic experience and internships?*
                  +0-4 years5-7 years8-10 years11+ years
                  +
                  +
                  +As a Data Engineer, how would you describe your approach to mentorship?*
                  +I\'m still learning the ropes, so I tend to focus more on absorbing knowledge myself.I\'m comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.
                  +
                  +
                  +As a Data Engineer, how would you describe your experience on projects?*
                  +I haven\'t led a project yet, but I\'ve contributed to the tasks assigned to me and learned from the process.I\'ve led a small project or a part of a larger project from start to finish.I\'ve led multiple projects across teams and stakeholders, and was accountable for the project\'s success.I\'ve led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.
                  +
                  +
                  +Describe your experience with data architecture and modeling concepts in your current or previous roles.*
                  +I have contributed to building data models within a data warehouse, with a clear and defined scope. I\'ve contributed to and led data modeling and design within a data warehouse, with an ambiguous scope.I\'ve led data modeling and design for complex concepts within a data warehouse frameworkI regularly lead the design and modeling of complex, large-scale data warehouse systems.
                  +
                  +
                  +As a Data Engineer, what area would you prioritize for your main focus, aligning with your expertise and interest?*
                  +Bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.Building tooling and frameworks crucial for data processing and exposure, and creating custom software.Data modeling, incorporating intricate business logic, and constructing a robust data warehouse.Streaming data pipelines, delivering real-time data transport solutionsData science and analytics, constructing data marts for in-depth data analysis, and serving the business.
                  +
                  +
                  +
                  Please confirm you\'ve read and agree with our candidate NDA* +
                  + +
                  +
                  +
                  Please confirm you\'ve read our applicant privacy notice* +
                  + +
                  +
                  +
                  +
                  +
                  +
                  ",,https://www.shopify.com/careers/data-engineering_36762da7-4c7f-4a13-b14d-943daecf37d0?,feed-importer@jobboard.io,,,,2024-05-28T01:41:03.765Z,False,0,5,90,https://talenthub.vectorinstitute.ai/jobs/320386669-data-engineering-at-shopify-inc,,expired,2024-04-30T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +66b1a606-c6cb-45c1-81b7-afef35e13020,321481843,Magna International,Senior Data Scientist,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2024-05-05T16:38:09.634Z,"
                  +
                  +

                  About the Role

                  +

                  The Senior Data Scientist will be a key member of the data analytics team. In this role, you will use your expertise to solve data related challenges in manufacturing operations and vehicle data analysis. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                  +
                  +
                  +

                  Your Responsibilities

                  +
                  +

                  · Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.

                  +

                  · Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.

                  +

                  · Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.

                  +

                  · Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.

                  +

                  · Leverage internal and external expertise as required.

                  +

                  · Regularly interface with senior management to provide project updates.

                  +

                  · Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.

                  +
                  +
                  +
                  +

                  Who we are looking for

                  +
                  +

                  · Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or a closely related education with 7+ years of experience in industry with a focus on data analytics and/or computer vision.

                  +

                  · Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science, or a closely related education with 10+ years of experience in industry with a focus on data analytics and/or computer vision.

                  +

                  · PhD preferred

                  +
                  +
                  +
                  +

                  Your preferred qualifications

                  +
                  +

                  Experience with a wide variety of ML and AI techniques and algorithms

                  +

                  · Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation

                  +

                  · Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda

                  +

                  · Knowledge of C++

                  +

                  · Experience with agile project management and related tools such as Confluence and JIRA

                  +

                  · Experience with cloud-based tools by Microsoft, AWS, Databricks

                  +

                  · Analytic tools and languages for statistical and machine learning models, especially Python

                  +

                  · Deep Learning frameworks and tools such as TensorFlow

                  +

                  · Data management using PySpark and SQL

                  +

                  · DevOps – GIT, Docker, CI/CD

                  +

                  +

                  Accommodations for disabilities in relation to the job selection process are available upon request.

                  +

                  Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                  +
                  +
                  +
                  +

                  What we offer

                  +

                  At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

                  +
                  +
                  +

                  Site Benefits

                  +
                  +
                  +
                  +

                  Awareness. Unity. Empowerment.

                  +

                  At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                  +
                  +
                  ",,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/579691217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-05-30T16:46:02.350Z,False,0,7,65,https://talenthub.vectorinstitute.ai/jobs/321481843-senior-data-scientist-at-magna-international,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/579691217/,expired,2024-05-05T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, +470df79e-53ac-44c8-9631-2a37a4cd238e,320662698,Cohere AI,"Senior Member of Technical Staff, MLE",on_site,"Toronto, ON, Canada",2024-05-01T16:38:05.996Z,"
                  +
                  Who are we?
                  +
                  Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                  +

                  +
                  We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                  +

                  +
                  Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                  +

                  +
                  Join us on our mission and shape the future!
                  +

                  +
                  Why this role?
                  +
                  Lead the development of novel ideas.
                  +
                  Ship state of the art models to happy customers.
                  +
                  Help build and scale an engineering team.
                  +

                  +
                  We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                  +
                  +

                  As a Member of Technical Staff, you will:

                  +
                      +
                    • Plan and execute large-group projects that carry through from ideation to production.
                    • +
                    • Bring cross-functional alignment across engineering, product and other disciplines.
                    • +
                    • Mentor a distributed team of engineers in subject matter expertise.
                    • +
                    • Identify opportunities and gaps in existing models and strategize what to work on.
                    • +
                    • Work closely with product teams to develop solutions.
                    • +
                    • Engage in collaborations with our partner organizations.
                    • +
                    • Assist our legal teams with preparation of patents on developed IP.
                    • +
                    • Join us at a pivotal moment, shape what we build and wear multiple hats!
                    • +

                      +
                  +
                  +

                  You may be a good fit if you have:

                  +
                      +
                    • Prior experience in leading ML teams in applied research and production.
                    • +
                    • Prior experience in setting as well as executing technical direction to build new or to refine existing products.
                    • +
                    • Prior experience in working cross-discipline in matrixed organizations.
                    • +
                    • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                    • +
                    • Experience using large-scale distributed training and inference.
                    • +
                    • Strong mentorship, communication, and problem-solving skills.
                    • +
                    • A demonstrated passion for applied ML models and products.
                    • +
                    • Bonus: experience shipping on TPUs.
                    • +
                    • Bonus: experience working for B2B companies in the ML space.
                    • +
                    • Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP) .
                    • +

                      +
                      * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                      +
                  +
                  +

                  +

                  +
                  If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                  +

                  +
                  We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                  +

                  +
                  Our Perks:
                  +
                  🤝 An open and inclusive culture and work environment
                  +
                  🧑‍💻 Work closely with a team on the cutting edge of AI research
                  +
                  🍽 Weekly lunch stipend, in-office lunches & snacks
                  +
                  🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                  +
                  🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                  +
                  🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                  +
                  🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                  +
                  ✈️ 6 weeks of vacation
                  +

                  +
                  Note: This post is co-authored by both Cohere humans and Cohere technology.
                  +
                  ",,https://jobs.lever.co/cohere/ef7dd181-1072-4b0e-9f4f-25143e33786c,feed-importer@jobboard.io,,,,2024-06-01T17:21:24.390Z,False,0,4,41,https://talenthub.vectorinstitute.ai/jobs/320662698-senior-member-of-technical-staff-mle-at-cohere-ai,https://jobs.lever.co/cohere/ef7dd181-1072-4b0e-9f4f-25143e33786c,expired,2024-05-01T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,No Degree,New Posting, +53d8717b-ca35-4b33-a7ac-89f8225d2655,324481715,Scotiabank,"Manager, Business Data Analyst - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-05-20T16:28:03.920Z,"

                  +

                  +

                  +

                  +

                  Requisition ID: 199638

                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                  +

                  +

                  The world is changing faster than ever and so are we!

                  +

                  +

                  “Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                  +

                  +

                  Our Model Operations team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring is as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:
                  You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to data flows and sources, accurately estimating financial impacts, and implementing analytic pilots to test your hypotheses while spec’ing out how our modeling teams should use what you discovered.

                  +

                  +

                  We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                  +

                  +

                  What Are We Looking For?

                  +

                  We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational processes into busines rules / algorithms and data flows, as they are challenging and working collaboratively with a diverse range of stakeholders to discover what everyone “does” (and, in fact, doesn’t) know (or remember) in the interest of improving our automated decision-making, forecasting and capital allocation.

                  +

                  +

                  We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                  +

                  +

                  The ideal candidate will be a consummate team player who is equally comfortable being a:

                  +
                  • Business Analyst / Business Consultant / Financial Analyst
                  • Process Engineer
                  • Data Analyst / Data Scientist
                  • Software Architect
                  • +
                  +

                  +

                  Make an Impact
                  As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. As a Manager, you will report directly to a Senior Manager or Director and will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Business Line & Operations leaders, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                  +

                  +

                  You will work, day-to-day under the direction of the Model Operations team, leveraging your analytic thinking and approach to support the efforts of either the Director, Forecasting Models or the Director, Decisioning Models to:

                  +
                  • Plan and manage initiatives
                  • Map and / or re-engineer key processes, data flows and / or business rules
                  • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                  • +
                  +

                  +

                  Potential deliverables / outcomes may include (but not be limited to):
                  Improved operational efficiency and effectiveness
                  Quantitative analysis to support ongoing decision-making
                  Business, implementation and project plans that get executed to completion
                  Business rules, financial formulae and algorithms
                  Recommendations of what else “we should look into / fix” next

                  +

                  Is This Role Right for You?

                  +
                  • You believe, first and foremost, in always doing the right thing and doing things the right way
                  • You are both deeply curious and highly pragmatic
                  • You are comfortable with data, analytic / technical and business processes
                  • You relish ambitious but realistic goals and are committed to achieving them
                  • You are comfortable initiating conversations and collaborating with diverse personalities
                  • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                  • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                  • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                  • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                  • You are professional, motivated AND FUN. We mean it.
                  • +
                  +

                  +

                  What Do You Need to Succeed?
                  General

                  +
                  • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                  • A demonstrated history of problem solving and sound judgment
                  • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                  • Strong data analytic skillset is a must, combined with programming languages for the purpose of data discovery and mapping, solutioning, testing/validation and gap analysis
                  • Strong testing (BAT/QAT) abilities to be able to ensure testing coverage for new requirements and changes
                  • Strong English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                  • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                  • +
                  +

                  Technical

                  +
                  • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                  • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                  • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, SAS, Python, Excel, PowerBI) tools
                  • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                  • +
                  +

                  +

                  Nice to Have’s
                  General

                  +
                  • Proficient reading, writing and speaking Spanish
                  • Domain expertise with retail & small business banking products and / or risk management practices
                  • Familiarity with credit risk models / scorecards
                  • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                  • +
                  +

                  +

                  Technical

                  +
                  • An understanding of statistical prediction, estimation and forecasting models
                  • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                  • An appreciation for advanced statistical approaches used to assess and address uncertainty
                  • +
                  +

                  +

                  What’s in It for You?

                  +
                  • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                  • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                  • You’ll have fun. We do.
                  • +
                  +

                  +

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Data-Analyst-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/581108717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-03T16:33:02.784Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/324481715-manager-business-data-analyst-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Data-Analyst-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/581108717/,expired,2024-05-20T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1ba9a4f3-f533-4cbd-b7c7-ddea1d63dd12,328796218,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-06-14T16:41:02.260Z,"
                  +
                  +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +
                  +

                  +
                  Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                  +
                  +
                  +

                  You will:

                  +
                      +
                    • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                    • +
                    • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                    • +
                    • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                    • +
                    • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                    • +
                    • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                    • +
                    • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                    • +
                    • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                    • +
                    • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                    • +
                    • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                    • +
                    • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                    • +
                  +
                  +
                  +

                  You have:

                  +
                      +
                    • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                    • +
                    • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                    • +
                    • Extensive experience with PyTorch.
                    • +
                    • Track record of successfully delivering robust, scalable and production-ready ML models.
                    • +
                    • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                    • +
                    • Experience with data manipulation and processing, such as SQL or pandas.
                    • +
                    • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                    • +
                    • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                    • +
                    • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                    • +
                    • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                    • +
                  +
                  +
                  +
                  Benefits and Perks:
                  +
                  An engaging remote-first culture
                  +
                  A great compensation package that includes BenchSci equity options
                  +
                  A robust vacation policy plus an additional vacation day every year
                  +
                  Company closures for 14 more days throughout the year
                  +
                  Flex time for sick days, personal days, and religious holidays
                  +
                  Comprehensive health and dental benefits.
                  +
                  Annual learning & development budget
                  +
                  A one-time home office set-up budget to use upon joining BenchSci
                  +
                  An annual lifestyle spending account allowance
                  +
                  Generous parental leave benefits with a top-up plan or paid time off options
                  +
                  The ability to save for your retirement coupled with a company match!
                  +

                  +
                  About BenchSci:
                  +
                  BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                  +
                  Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                  +

                  +
                  Our Culture:
                  +
                  BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                  +
                  We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                  +
                  You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                  +

                  +
                  +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                  +

                  +
                  +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                  +

                  +
                  #LI-Remote
                  +
                  ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-07-17T18:08:36.243Z,False,0,7,61,https://talenthub.vectorinstitute.ai/jobs/328796218-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,expired,2024-06-14T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +4edf306a-ba88-4bb7-9631-aef76c1fbe21,330594093,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-06-24T01:14:02.111Z,"
                  +
                  +

                  Field Solutions Developer III, Generative AI, Google Cloud

                  +
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                  +share +
                  +
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                  • +linkCopy link +
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                  • +emailEmail a friend +
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                  +corporate_fareGoogleplaceToronto, ON, Canada; Cambridge, MA, USA; +7 more; +6 more
                  +
                  +
                  +
                  +bar_chartAdvanced +
                  +
                  +

                  Advanced

                  +
                  Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
                  +
                  +
                  +
                  +
                  +
                  +Apply
                  +
                  +
                  +
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                  +share +
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                  • +linkCopy link +
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                  • +emailEmail a friend +
                  • +
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                  info_outline
                  +XInfo This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.

                  This role may also be located in our Playa Vista, CA campus.

                  Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.
                  +
                  + +
                  +

                  Minimum qualifications:

                  +
                    +
                  • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
                    +
                  • +
                  • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
                    +
                  • +
                  • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
                    +
                  • +
                  • Experience delivering technical presentations and leading business value sessions.
                    +
                  • +
                  +

                  Preferred qualifications:

                  +
                    +
                  • Master\'s degree in Computer Science, Engineering, or a related technical field.
                    +
                  • +
                  • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
                    +
                  • +
                  • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
                    +
                  • +
                  • Experience with distributed training and optimizing performance versus costs.
                    +
                  • +
                  • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
                    +
                  • +
                  • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
                    +
                  • +
                  +
                  +
                  +

                  About the job

                  +

                  As a Generative AI Field Solutions Developer, you will play a pivotal role in supporting our Google Cloud business organization. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.

                  +

                  You will leverage the Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings.

                  +

                  Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                  The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                  +
                  +
                  +

                  Responsibilities

                  +
                    +
                  • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
                    +
                  • +
                  • Demonstrate how Google Cloud is differentiated by working with customers on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
                    +
                  • +
                  • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
                    +
                  • +
                  • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities. Travel as needed.
                    +
                  • +
                  +
                  +
                  +

                  Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                  +

                  Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                  +

                  If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                  +

                  Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                  +

                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                  +
                  +
                  ",,https://www.google.com/about/careers/applications/jobs/results/134490933082104518-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-18T07:49:02.501Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/330594093-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,expired,2024-06-24T01:14:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +59f0f938-9602-461e-a6bf-a1594f77db06,334405078,TELUS,Senior Data Scientist - Advanced Data & Analytics,on_site,"Ontario, Canada",2024-07-18T06:04:03.317Z,"
                  +
                  +

                  Description

                  +
                  +

                  +

                  Our team and what we’ll accomplish together:

                  +

                  +

                  Our TELUS Advanced Data and Analytics team is seeking an experienced and accomplished Senior Data Scientist to join our team. The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, and statistical modeling, along with a proven track record of delivering impactful insights and solutions.

                  +

                  +

                  Responsibilities:

                  +

                  +
                    +
                  • Collaborate with stakeholders to understand the business requirements and translate them into actionable data-driven solutions
                  • +
                  • Manage the comprehensive development and ongoing maintenance of machine learning initiatives aimed at preventing customer churn, segmenting customers, and targeting prospects and new customers
                  • +
                  • Analyze the performance of marketing campaigns and identify areas for improvement. By leveraging data insights, optimize campaign targeting, to maximize ROI and achieve marketing objectives
                  • +
                  • Design and analyze A/B tests to evaluate the effectiveness of different marketing strategies, messages, or designs. In order to make data-driven decisions and continuously improve marketing efforts
                  • +
                  • Act as a translator, effectively communicating between the business and data science team to ensure alignment and understanding of business needs, pain points, opportunities of improvements and objectives
                  • +
                  • Design and implement advanced machine learning models and algorithms to analyze large datasets and identify patterns and trends in customer behavior
                  • +
                  • Conduct thorough data analysis and experimentation to validate and optimize the performance of machine learning models
                  • +
                  • Develop and deploy scalable and efficient machine learning pipelines and workflows
                  • +
                  • Collaborate with data engineers and software developers to integrate machine learning models into production systems
                  • +
                  • Present findings and insights to both technical and non-technical stakeholders in a clear and concise manner
                  • +
                  • Mentor and provide guidance to junior data scientists and team members
                  • +
                  +

                  +

                  +
                  +
                  +
                  +

                  Qualifications

                  +
                  +

                  +
                    +
                  • Master\'s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
                  • +
                  • Proven experience 3+ years in developing and implementing machine learning models and algorithms for real-world applications
                  • +
                  • Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
                  • +
                  • Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
                  • +
                  • Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
                  • +
                  • Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
                  • +
                  • Strong problem-solving skills and the ability to think critically and analytically
                  • +
                  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
                  • +
                  • Experience in leading and mentoring a team of data scientists is a plus
                  • +
                  +

                  +

                  Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!

                  +

                  +

                  Please note that the qualifications and responsibilities mentioned above are just a guideline

                  +

                  +

                  +
                  +
                  +
                  ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-Advanced-Data-&-Analytics-ON/582828617/,feed-importer@jobboard.io,,,,2024-07-22T06:09:04.154Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/334405078-senior-data-scientist-advanced-data-analytics-at-telus,,expired,2024-07-18T06:04:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +a7ec6c6c-250a-411f-9e8d-abaf8acc04fb,333483359,Canadian Tire Corporation,"Manager, Merchandising Services and Data",on_site,"Ontario, Canada",2024-07-11T07:41:02.676Z,"
                  +
                  +

                  What you’ll do

                  +

                  The Manager of Merchandising Services & Data will be a results-driven, customer-centric leader who is responsible for shaping and maintaining Merchandise systems, tools, and data needs to enable complex business decisions and processes across FGL Merchandising & the broader banner and enterprise. They will ensure the departments systems and tool are in functioning order and are able to assist when troubleshooting is required, or critical failures occur. They will also enable access to data for partner analytic teams, to assist with enabling the business to make high-value data driven decisions. This person will also be accountable and responsible to build processes and procedures to ensure the quality, consistency and availability of Merch Owned Data, as well as the use and success of our Merch Systems and Processes. They will understand the needs of both the business and technology stakeholders, enabling a shared understanding of what is required on both sides, and establishing a climate of cross-functional collaboration.

                  +
                    +
                  • Problem Solving oriented leader and key stakeholder in moving Sport Chek towards a Customer First mindset and enabling the business to put the customer at the core of our decision making and executional tasks.

                  • +
                  • Responsible for defining data quality standards and rules to ensure user provided information is compliant with defined quality requirements within their assigned domain (Merch Data – COST, MERCH OPS PLANNING, PRICE, PRODUCT, INVENTORY, VENDOR, FORECASTING)

                  • +
                  • Act as Product Owner and Subject Matter Expert for FGL’s instance of PMM

                  • +
                  • Manage data asset practices and ensure data processes are in place (plan, monitor and enforce)

                  • +
                  • Ensure proper support procedures, methodologies, best practices, documentation, and tools are in place to support the various projects and existing production systems

                  • +
                  • Partner with cross-functional stakeholders to scope data and tool requirements and build data driven solutions to solve complex business problems.

                  • +
                  • Work alongside IT and Business stakeholders, managers and AVPs to manage, prioritize, design, test and implement system change requests

                  • +
                  • Support capability project work from a data flow and systems perspective

                  • +
                  • Automation & Efficiency: Use advanced problem solving and technical skills to eliminate manual work, drive process efficiencies and improve data and decision quality

                  • +
                  +
                  +

                  +

                  What you’ve done

                  +
                  +
                  +
                  +
                    +
                  • Post-secondary education in STEM (Science, Technology, Engineering, Mathematics), Business or related discipline

                  • +
                  • Strong knowledge of merchandising processes, tools and technology

                  • +
                  • Experience and technical knowledge of PMM is considered an asset

                  • +
                  • Good knowledge and affinity for application, report and database design

                  • +
                  • Advanced SQL, Macros, and VBA skills

                  • +
                  • Advanced Automation and / or Microsoft Power Automation experience

                  • +
                  • Motivated, self-starter with the ability to function in an environment with a high level of ambiguity

                  • +
                  • Experience working on cross-functionally driven initiatives; the ability to build partnerships across teams

                  • +
                  • Solid leadership skills and presence; highly developed sense of accountability, passion and track record for delivering consumer-focused results

                  • +
                  • Knowledge of industry trends, advancements, methodologies, and best practices – particularly in Data Governance within the retail environment

                  • +
                  • Ability to work on multiple initiatives at a time, with a high attention to detail, organization, and time management. Ability to prioritize is a critical asset.

                  • +
                  • Strong communicator, both written and oral.

                  • +
                  • +

                    Ability to connect technical and business:

                    +
                      +
                    • Business need to technical solutions & opportunities

                    • +
                    • Translate technical details in a manor suitable for the business

                    • +
                    • Partner with technical teams to relay business needs and issues

                    • +
                    +
                  • +
                  • Work both collaboratively and individually

                  • +
                  • Lead and manage a team

                  • +
                  • Work to deadlines & deliverable milestones

                  • +
                  • Creative solutioning for business problems and opportunities

                  • +
                  +

                  +

                  Hybrid

                  +

                  At Canadian Tire we value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                  +
                  +

                  +

                  About Us

                  +

                  +

                  At Sport Chek, we want to find what moves you, and help build your career from there. As Canada’s destination for footwear, apparel, and sporting goods; we believe that sport and activity has the power to help shape your style, your relationships, and your mind. Along with colleagues across the Canadian Tire family of companies, you’ll be a part of a collaborative network of like-minded individuals who draw on their collective experience to best serve customers across all banners from coast-to-coast. Join us, where there\'s a place for you here.

                  +

                  +

                  Our Commitment to Diversity, Inclusion and Belonging

                  +

                  +

                  We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                  +

                  +

                  Accommodations

                  +

                  +

                  We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                  +

                  +
                  ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Manager--Merchandising-Services-and-Data_JR136457?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-07-25T05:58:01.819Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/333483359-manager-merchandising-services-and-data-at-canadian-tire-corporation,,expired,2024-07-11T07:41:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Manager,Bachelors Degree,New Posting, +6946a811-cc92-418a-afbc-3e8f4b0fb610,334967083,BMO Financial Group,Business Intelligence Associate,on_site,"Ontario, Canada",2024-07-22T07:29:01.689Z,"
                  +

                  Application Deadline:

                  08/01/2024

                  +

                  +

                  Address:

                  100 King Street West

                  +

                  +

                  Job Family Group:

                  Data Analytics & Reporting

                  +

                  +

                  Keys for the role:

                  +
                    +
                  • Power BI Data Analytics preferred
                  • +
                  • SQL
                  • +
                  • Power Automate, Power App
                  • +
                  • Excel
                  • +
                  • Understanding of financial products, knowledge or Capital Markets experience, preferable .
                  • +
                  • Will consider strong Data Science experience with some visualization.
                  • +
                  +

                  +

                  The Analytics & Reporting group is accountable for continuous improvement of the analytics and reporting process across Capital Markets and International Operations. The group requires specialized business and valuation skills.

                  +

                  +

                  The Business Intelligence Associate will assist in the digitalization of the reporting process using Power BI.

                  +

                  This is an exciting opportunity for a Data Scientist who is looking to enhance their data visualization skill, building out solutions to bring value to the existing data and analytics.

                  +

                  The Business Intelligence Associate consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                  +

                  +

                  +

                  Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                  +
                    +
                  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques.
                  • +
                  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                  • +
                  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                  • +
                  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                  • +
                  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                  • +
                  • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                  • +
                  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                  • +
                  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                  • +
                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                  • +
                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                  • +
                  • Works independently on a range of complex tasks, which may include unique situations.
                  • +
                  • Broader work or accountabilities may be assigned as needed.
                  • +
                  +

                  +

                  Qualifications:

                  +

                  Foundational level of proficiency:

                  +
                    +
                  • Technical design optimization.
                  • +
                  • Decision Making.
                  • +
                  • Systems Thinking.
                  • +
                  • Data visualization.
                  • +
                  • Data storytelling.
                  • +
                  • Data mining.
                  • +
                  • Illustration.
                  • +
                  • Creative thinking.
                  • +
                  • Problem Solving.
                  • +
                  +

                  Intermediate level of proficiency:

                  +
                    +
                  • Insights design.
                  • +
                  • Insights development and reporting.
                  • +
                  • Verbal & written communication skills.
                  • +
                  • Collaboration & team skills.
                  • +
                  • Analytical and problem solving skills.
                  • +
                  • Data driven decision making.
                  • +
                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                  • +
                  • Technical proficiency gained through education and/or business experience
                  • +
                  • University degree in business/commerce, data sciences, engineering, finance, mathematics or equivalent degree
                  • +
                  • Advanced knowledge and understanding of key financial products and P&L related processes.
                  • +
                  • Strong proficiency with Excel, programming knowledge in VBA and SQL, and experience with database maintenance and navigation
                  • +
                  • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, Tableau, SQL, SAS, R, Python, MATLAB, SPSS
                  • +
                  +
                  +

                  +

                  Salary:

                  +
                  $54,500.00 - $101,500.00

                  +

                  Pay Type:

                  Salaried

                  +

                  The above represents BMO Financial Group’s pay range and type.

                  +

                  +

                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                  +

                  +

                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                  +

                  +

                  +

                  We’re here to help

                  +

                  +

                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                  +

                  +

                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                  +

                  +

                  To find out more visit us at https://jobs.bmo.com/ca/en.

                  +

                  +

                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                  +

                  +

                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                  +
                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Intelligence-Associate_R240017320?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-25T07:34:02.921Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/334967083-business-intelligence-associate-at-bmo-financial-group,,expired,2024-07-22T07:29:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +583dc02b-2655-41d4-8353-4c16516609db,331196403,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:04.686Z,"
                  +
                  +

                  Join our team and what we\'ll accomplish together

                  +
                  +


                  The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                  +

                  +

                  Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                  +

                  +
                  +
                  +
                  +

                  What you\'ll do

                  +
                  +

                  +
                    +
                  • Collaborate with both technology and business partners and domain architects in order to design robust enterprise grade solutions
                  • +
                  • Document various solution options and recommend the best approach balancing constraints and future needs
                  • +
                  • Propose solutions to enable business objectives while advancing enterprise tech strategies
                  • +
                  • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                  • +
                  • Capture issues with the data that impact key business drivers and relay them to the product management teams
                  • +
                  • Support the data pipelines feeding into our machine learning algorithms and models
                  • +
                  • Participate in requirements review sessions or attend intake assessment meetings to estimate effort for high-level solutions
                  • +
                  +


                  +
                  +
                  +
                  +

                  What you bring

                  +
                  +

                  +
                    +
                  • You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                  • +
                  • Bachelor of Computer Science, Engineering or equivalent
                  • +
                  • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                  • +
                  • You have an architecture level understanding of APIs, security architecture, and cloud native development on all major cloud providers (GCP, Azure, AWS, Databricks, Snowflake)
                  • +
                  • You have strong experience and knowledge for data engineering principles and best practices and the associated technologies with it
                  • +
                  • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                  • +
                  +


                  Great-to-haves

                  +

                  +
                    +
                  • GCP Professional Data Engineering certification
                  • +
                  • Understanding of TMF standards
                  • +
                  • Experience with Databricks, Azure and AWS
                  • +
                  +

                  +

                  +
                  +
                  +
                  ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON-M5J-2V5/580002717/,feed-importer@jobboard.io,,,,2024-07-27T14:38:58.485Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/331196403-senior-data-engineer-at-telus,,expired,2024-06-27T11:39:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +de02b5ef-f070-4321-9d0d-803dafe30ed0,331196401,TELUS,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:04.548Z,"
                  +
                  +

                  Description

                  +
                  +

                  +

                  Join our team and what we\'ll accomplish together

                  +


                  The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                  +


                  We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                  +


                  Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                  +


                  You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                  +


                  As a Senior Machine Learning Engineer on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                  +


                  What you’ll do

                  +

                  +
                    +
                  • Lead the iterative development, validation, and deployment of AI/ML models
                  • +
                  • Collaborate on end-to-end automation efforts required to bring models to production
                  • +
                  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                  • +
                  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                  • +
                  • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                  • +
                  • Develop re-usable code aimed at delivering on future goals faster and more reliably
                  • +
                  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                  • +
                  • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                  • +
                  +

                  +

                  +
                  +
                  +
                  +

                  Qualifications

                  +
                  +

                  +

                  What you bring

                  +

                  +
                    +
                  • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                  • +
                  • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ years of hands-on work and practical business experience in the above areas
                  • +
                  • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                  • +
                  • You have advanced experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                  • +
                  • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                  • +
                  • You possess strong knowledge in SQL and distributed computing
                  • +
                  • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                  • +
                  • You are well versed in software and AI development lifecycles, including ML Ops
                  • +
                  • You are agile and have a bias for action, removing roadblocks to get results fast
                  • +
                  +

                  +

                  Great-to-haves

                  +

                  +
                    +
                  • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                  • +
                  • Experience with agile methodology and work in a start-up environment
                  • +
                  • GCP or other cloud certifications
                  • +
                  +

                  +

                  +
                  +
                  +
                  ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineer-ON/579889617/,feed-importer@jobboard.io,,,,2024-07-27T14:37:09.269Z,False,0,11,34,https://talenthub.vectorinstitute.ai/jobs/331196401-senior-machine-learning-engineer-at-telus,,expired,2024-06-27T11:39:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +47668381-17e7-49df-9150-0d33836de8bb,331244342,Cohere AI,"Member of Technical Staff, Model Efficiency",on_site,"Toronto, ON, Canada",2024-06-27T16:41:02.642Z,"
                  +
                  Who are we?
                  +
                  Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                  +

                  +
                  We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                  +

                  +
                  Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                  +

                  +
                  Join us on our mission and shape the future!
                  +

                  +
                  Why this role?
                  +

                  +
                  Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The model efficiency team is responsible for increasing the inference efficiency of our foundation models by improving model architecture and optimizing ML frameworks.
                  +

                  +
                  As an engineer on this team, you’ll work on improving the key model serving metrics including latency and throughput by profiling the system, identifying bottlenecks, and solving problems with innovative solutions.
                  +

                  +
                  +Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. +
                  +

                  +
                  +
                  +

                  You may be a good fit for the Model Efficiency team if you have:

                  +
                      +
                    • Significant experience in developing high-performance machine learning algorithms or machine learning infrastructure
                    • +
                    • Hands-on experience with large language models
                    • +
                    • Bias for actions and results
                    • +
                    • An appetite to solve challenging machine learning research problems
                    • +
                  +
                  +
                  +

                  It is a big plus if you also have considerable experience with one of these areas:

                  +
                      +
                    • Model compression techniques: quantization, pruning, sparsity, low-rank compression, knowledge distillation, etc.
                    • +
                    • GPU/Accelerator programming or high-performance computing
                    • +
                    • LLM Inference performance modeling
                    • +
                    • Machine learning framework internals
                    • +
                  +
                  +
                  +
                  If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                  +

                  +
                  +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                  +

                  +
                  Our Perks:
                  +
                  🤝 An open and inclusive culture and work environment
                  +
                  🧑‍💻 Work closely with a team on the cutting edge of AI research
                  +
                  🍽 Weekly lunch stipend, in-office lunches & snacks
                  +
                  🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                  +
                  🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                  +
                  🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                  +
                  🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                  +
                  ✈️ 6 weeks of vacation
                  +

                  +
                  Note: This post is co-authored by both Cohere humans and Cohere technology.
                  +
                  ",,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,feed-importer@jobboard.io,,,,2024-07-27T19:35:50.762Z,False,0,7,50,https://talenthub.vectorinstitute.ai/jobs/331244342-member-of-technical-staff-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,expired,2024-06-27T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, +990f36d4-03c5-490c-a1d4-b22040a9a99c,331326300,KPMG,"Manager, Information Management and Data & Analytics",on_site,"Vancouver, BC, Canada",2024-06-27T19:57:50.448Z,"

                  Overview

                  +

                  At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                  +

                  Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

                  +

                  +

                  We help organizations to become data driven! Will you collaborate with us?
                  Data is the new gold. However, data only has value through strong and reliable data analysis, clear interpretation and good data management. We help our clients in those areas to realize growth, improve performance and to manage risks.

                  +

                  +

                  Our Team
                  As a Manager in Data Management, you will be a part of our Technology Consulting (Information Management and Data & Analytics) practice within KPMG. This is a worldwide network of professionals who collaborate on a daily basis to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics!

                  +


                  What you will do

                  +
                    +
                  • Creating and presenting data strategies, roadmaps and data operating models
                  • +
                  • Leading the assessment and improvement of our clients’ data quality
                  • +
                  • Implementing data management capabilities with our clients, so that (cloud) ERP systems perform flawlessly
                  • +
                  • Managing data migrations by providing leading practices, relevant experience with specific (cloud) ERP systems
                  • +
                  • Leading the deployment and adoption of modern data platforms in our client’s business and technology ecosystems
                  • +
                  • Securing ‘trusted’ analytics, by creating transparent and well governed (advanced) analytics processes, data platforms and data lakes
                  • +
                  • Advising on digital solutions for Document and Content Management
                  • +
                  • Developing and utilizing technical and industry knowledge to resolve complex client challenges and consult on leading practice solutions
                  • +
                  • Planning and executing day-to-day activities of advisory engagements for a variety of clients including data strategy and roadmap development, business process analysis, current state assessment and future state process design, data and business case analysis and tailoring recommendations specific to client’s use cases and needs
                  • +
                  • Lead business development by presenting thought leadership directly to clients, at industry conferences and leading the development of winning proposals (approach development, effort estimation, collaboration with peers) and negotiation of contracts with clients
                  • +
                  +

                  +

                  You will have the opportunity to be part of our growing Data Management practice, in Canada and globally. Based on our success, you will learn from our Advanced Data Management methodology, training and access to KPMG’s Global Center of Excellence – you can be a part of it!

                  +


                  What you bring to the role

                  +
                    +
                  • A completed MBA or Bachelor’s degree in Management Information Systems, Computer Science, Business Administration or Data Science
                  • +
                  • Preferably a number of years (5+) of experience as a Senior Consultant or Manager in a consulting environment or having worked on realizing data management solutions within your organization
                  • +
                  • Superior communication skills, both written and verbal, with the ability to communicate strategic solutions to client stakeholders at director and operational levels
                  • +
                  • You are enthusiastic about complex projects and you are a problem solver
                  • +
                  • You bring insights and methods for data quality analysis, transformation, mapping and cleansing
                  • +
                  • You are a team player and look forward to the challenge to actively collaborate on the dynamic growth of Data Management within KPMG by working on asset development and innovation
                  • +
                  • Knowledge of and experience applying governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM is an asset
                  • +
                  • Knowledge of and experience deploying cloud based data management platforms would be an asset, for example from Informatica, Collibra, Microsoft, IGC, Snowflake.
                  • +
                  • Industry-recognized designations/certifications would be an asset, including PMP, TOGAF, ITIL, Azure Cloud Solution Architecture, CDMP
                  • +
                  • Must be able to travel locally and internationally based on client and project requirements
                  • +
                  +

                  KPMG BC Region Pay Range Information

                  +

                  The expected base salary range for this position is $98,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

                  +

                  +

                  Providing you with the support you need to be at your best

                  +

                  +

                  +

                  +
                  +

                  +

                  +

                  +

                  For more information about KPMG in Canada’s Benefits and well-being, click here.

                  +


                  Our Values, The KPMG Way

                  +

                  Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                  +

                  KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                  +

                  +

                  Adjustments and accommodations throughout the recruitment process

                  +

                  At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                  +

                  To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                  +

                  For information about accessible employment at KPMG, please visit our accessibility page.

                  ",,https://careers.kpmg.ca/professionals/jobs/23763?lang=en-us,aitalent@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2024-07-27T19:57:52.746Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/331326300-manager-information-management-and-data-analytics-at-kpmg,,expired,2024-06-27T19:57:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +1678731b-bc24-49e2-8d01-c71d44251311,333304347,Canadian Tire,"Data Analytics, Center of Excellence, Associate Vice President Internal Audit",on_site,"Toronto, ON, Canada",2024-07-09T19:54:17.314Z,"

                  What will you do:

                  +

                  We are seeking a highly skilled and motivated individual for the position of Internal Audit Associate Vice President at our organization. In this role, you will be responsible for managing our Center of Excellence (COE) while driving advancements in data analytics and artificial intelligence within our internal audit function.

                  +
                    +
                  • Lead and oversee the Center of Excellence (COE), ensuring efficient operations and strategic alignment with the organization's goals.
                  • +
                  • Develop and execute a comprehensive strategy to advance data analytics and artificial intelligence capabilities within the internal audit function to assess and monitor risks.
                  • +
                  • Collaborate with cross-functional teams to identify opportunities for process improvement, risk mitigation, and cost optimization through the utilization of data analytics and AI technologies.
                  • +
                  • Provide guidance and mentorship to a team of talented professionals, fostering their growth and ensuring their expertise aligns with emerging industry trends.
                  • +
                  • Drive the implementation of advanced data analytics methodologies, tools, and techniques to enhance audit effectiveness, efficiency, and quality.
                  • +
                  • Establish strong partnerships with stakeholders across the organization, including senior leadership, IT teams, and business unit heads, to ensure effective collaboration and alignment of objectives.
                  • +
                  • Stay up-to-date with industry best practices, regulatory changes, and technological advancements related to data analytics and AI in order to drive continuous improvement within the internal audit function.
                  • +
                  +

                  +

                  What do you bring:

                  +
                    +
                  • Post-secondary education in Statistics, Mathematics, Computer Science, Engineering, or other advanced degree preferred.
                  • +
                  • Strong understanding of data analytics concepts and proficiency in one or more of the following: SQL, Python, R, Scala, C/C#/C++ and/or Java, Tableau, Hadoop ecosystem, and emerging technologies (e.g., machine learning).
                  • +
                  • Extensive experience (8+ years) in internal audit or related fields with a focus on data analytics or AI and working with/analyzing large data both structured and unstructured data.
                  • +
                  • Proven track record of successfully managing a team and driving strategic initiatives within an internal audit function or related domain.
                  • +
                  • Familiarity with auditing standards (e.g., COSO), risk management frameworks (e.g., ISO 31000), and regulatory requirements (e.g., SOX).
                  • +
                  • Excellent communication skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
                  • +
                  • Strong analytical mindset with the ability to think critically and solve problems using data-driven approaches.
                  • +
                  • Demonstrated leadership skills with the ability to influence others, build relationships, and drive change in a collaborative manner.
                  • +
                  +

                  +

                  Hybrid

                  +

                  At Canadian Tire we work flexibility embracing ‘Hybrid’ whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes. Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs. Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone.

                  +

                  +

                  #LI-FM1

                  +

                  +

                  About Us

                  +

                  Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                  +

                  +

                  Our Commitment to Diversity, Inclusion and Belonging

                  +

                  We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                  +

                  +

                  Accommodations

                  +

                  We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                  ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/Enterprise_External_Careers_Site/job/Toronto-ON/Data-Analytics--Center-of-Excellence--Associate-Vice-President-Internal-Audit_JR136264,aitalent@vectorinstitute.ai,,,,2024-07-25T17:57:00.000Z,True,0,8,91,https://talenthub.vectorinstitute.ai/jobs/333304347-data-analytics-center-of-excellence-associate-vice-president-internal-audit-at-canadian-tire,,expired,2024-07-09T19:54:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +b3868465-8a2b-4e09-a5ec-49e2fc7210f8,299470132,BMO Financial Group,Manager Stress Testing Analytics,on_site,"Ontario, Canada",2024-01-08T06:25:03.143Z,"
                  +

                  Application Deadline:

                  02/09/2024

                  +

                  +

                  Address:

                  100 King Street West

                  +

                  +

                  Job Family Group:

                  Data Analytics & Reporting

                  +

                  +

                  The team is expanding, and we are hiring for two additional Manager, Stress Testing Analytics reporting to Senior Manager Credit Risk Stress Testing. You will be involved with monthly stress tests at the enterprise level and where applicable with Enterprise-Wide Stress Testing & OSFI mandated Macroeconomic Stress Testing. Ideal candidate has experience in Stress Testing in financial institutions and creation of the reports to be presented to the stakeholders. The second role will be focused on working with large data sets, supporting the data generation and aggregation. You will be preparing the data for the reporting of the results. Strong communication skills, Python, PySpark, SAS, SQL and Power BI required.

                  +

                  +

                  Knowledge of Basel Rules and methodology used in measuring Losses and Regulatory Capital, in addition to Credit Risk concepts and parameters (PD, LGD, EAD, etc.)

                  +

                  - Experienced in performing stress testing and scenario analysis.

                  +

                  - Sound understanding of macro and micro factors that impact corporate and commercial credit businesses.

                  +

                  - Strong understanding of banks’ balance sheets, off balance sheet items, and P&L.

                  +

                  - Exceptional knowledge and experience with SAS, Excel and/or VBA.

                  +

                  - Run stress testing models to quantify the impact of various stress scenarios on the credit risk of the banking book.

                  +

                  +

                  +

                  Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                  +
                    +
                  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                  • +
                  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                  • +
                  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                  • +
                  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                  • +
                  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                  • +
                  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                  • +
                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                  • +
                  • Provides specialized consulting, analytical and technical support.
                  • +
                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                  • +
                  • Works independently and regularly handles non-routine situations.
                  • +
                  • Broader work or accountabilities may be assigned as needed.
                  • +
                  +

                  +

                  Qualifications:

                  +

                  +

                  Skills:

                  +

                  - Advanced analytical, problem solving, investigative skills, attention to detail, accuracy, self-driven, and the ability to learn quickly are critical to this position.

                  +

                  - Strong technical skills (financial statements, financial modeling, data manipulation, Pyspark, Python, SAS, SQL, R).

                  +

                  - Critical and strategic thinking.

                  +

                  - Strong writing skills.

                  +

                  - Strong interpersonal, presentation and communication skills.

                  +

                  - 2-3 years relevant work experience in banking or consulting environment.

                  +

                  +

                  Data Management

                  +
                    +
                  • Process, as necessary, all data required to analyse the stress testing models and report results.
                  • +
                  • Identify gaps, if any, that exist in the data used in stress testing and recommend remediation.
                  • +
                  • Provide Business User Testing of new stress testing models, processes and calculations
                  • +
                  • Develop requirements for enhancement of existing or new stress testing tools (B3R, reporting processes, custom calculations, overlays)
                  • +
                  +

                  +
                    +

                    +

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Stress-Testing-Analytics_R230022059?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-07T19:55:09.451Z,False,0,2,141,https://talenthub.vectorinstitute.ai/jobs/299470132-manager-stress-testing-analytics-at-bmo-financial-group,,expired,2024-01-08T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +ae6cadbe-a47d-4a07-819c-887eeb4bb9da,304659716,Scotiabank,"Sr. Analyst, Reporting & Insights",on_site,Canada : Ontario : Toronto,2024-02-05T16:26:02.679Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 192775

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose

                    +

                    +

                    Contributes to the overall success of the Omni Channel Development team, taking effective ownership of developing data integration strategies, and creating various reporting streams that generate value-added actionable insights informing Retail Banking business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                    +

                    +

                    The Sr. Analyst, Reporting & Insights, will play a key role in supporting the expansion of our reporting framework, improving our analytical processes, and sharing insights to multiple stakeholders. Responsible for delivering value-added analytics aimed at creating sustainable business growth focusing on reporting, Insights and data visualization.

                    +

                    +

                    +

                    Accountabilities

                    +

                    +
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    • Designing and creating reports, using data to analyze and improve our understanding of branch staff and customer behaviours, and monitoring the impact of strategic decisions and initiatives.

                      • Design and develop new reports to support management including but not limited to - visualization tools such as Tableau & PowerBI, complex data and logic tools, SAS, SQL, and self-service dashboards.

                      • Analyze data and evaluate results, identify emerging business issues, and prepare strategic recommendations for management.

                      • Continuously acquire and enhance knowledge of business/product strategies, portfolio management principles, branch processes and procedures, regulatory requirements, and advanced analytical tools/methodologies in order to best provide business solutions.

                      • Validating data extraction to ensure accuracy and accountability of reporting and insights.

                    • Automates any recurring reports and visualizations to support key areas of the business

                    • Supports the Senior Manager in the development, execution and management of reporting suites.

                    • Leads the automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of analysis.

                    • Synthesize multiple data sources and research insights that capture human insights, convey ideas, and provoke new growth opportunities.

                    • Present research insights that are actionable, compelling, and connected to the business strategy.

                    • Partner with broader team members as subject matter expert to support enterprise business program priorities and strategic objectives.

                    • Perform automation of data extraction, transformation and reporting processes to increase efficiencies.

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk

                    • Champions a high performance environment and contributes to an inclusive work environment.

                    • +
                    +

                    +

                    +

                    Education / Experience

                    +

                    +
                    • Required - University degree in Business Analytics, Statistics, Mathematics, Finance, Computer Science, Business Management or a related discipline.

                    • Advanced SAS and/or SQL experience. Python/R are also preferred.

                    • Expertise in data visualization tools such as Power BI

                    • Excellent mathematical, analytical and problem-solving skills and ability to interpret complex data, and be able to conclude meaningful insights.

                    • Excellent business acumen and strategic thinking skills.

                    • Excellent communication and presentation (written and verbal) is essential.

                    • Understanding of Canadian retail banking.

                    • Collaborative team player, Flexible, motivated, and results oriented.

                    • Curious and passionate about data, data visualization and introducing automation.

                    • Self-starter, with the ability to work well both independently and with teams and must be comfortable working in an environment with tight deadlines and multiple priorities.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Analyst%2C-Reporting-&-Insights-ON-M5C2W1/577948317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,6,39,https://talenthub.vectorinstitute.ai/jobs/304659716-sr-analyst-reporting-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Analyst%2C-Reporting-&-Insights-ON-M5C2W1/577948317/,expired,2024-02-05T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +355dfc30-507a-4a46-a114-b6ca8e4647c5,303711386,Scotiabank,"Senior Analyst, Unsecured Lending Analytics, Client Solutions - Tangerine",on_site,Canada : Ontario : Toronto,2024-02-01T16:26:02.308Z,"

                    +

                    +

                    Requisition ID: 192009

                    +

                    Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                    +

                    +

                    As Canada’s leading digital bank, Tangerine technology is at the heart of everything we do. We have redefined what digital banking is, and we continue to evolve to tackle any opportunity and face every challenge through progressive technology and the power of collaboration.

                    +

                    +

                    Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

                    +

                    +

                    What you will be doing:

                    +

                    +

                    As the Senior Analyst, you will support the Senior Manager, Risk Operations Oversight and Performance and the overall Clients Solutions Team in identifying, analyzing and summarizing critical risk and collections information across Tangerine and the bank’s Enterprise Data Warehouse (EDW).

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +

                    +
                    • Develop and maintain the monthly Collections Dashboard for review by senior management.
                    • Develop and maintain the weekly/monthly advisors scorecard for review of Collections operations teams and senior management.
                    • Provide key access to data via SQL/SAS/Python and other data retrieval techniques.
                    • Identify data sources, and develop process required for the preparation of standard reports.
                    • Assist in providing operational insights to improve collections performance. Analysis will encompass portfolio reporting and monitoring, operational strategy performance assessment, as well as Advisors KPIs.
                    • Support for strategy, product and analysis teams as required.
                    • Support the development and implementation of credit risk and collections plans and provide insight to the management team through ad hoc requests, projects and initiatives.
                    • Cross-train and share credit risk and collections knowledge with team members to foster a strong risk discipline environment across Tangerine.
                    • Act as the liaison between Clients Solutions, GRM and Collections teams in relation to Risk and Collections reporting and Dashboard production to ensure consistency across the bank.
                    • Represent Tangerine on special projects, working with other departments to contribute to the success of the Clients Solutions Team. Automate the manual processes wherever possible.
                    • +
                    +

                    +

                    Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                    +
                    • University Degree with a business, analytical, mathematical or statistical focus (Economics, Finance, Accounting or Statistics)
                    • Minimum of 6 months to 1 year of experience working with data analytics
                    • Knowledge of Credit Risk and Collections strategy is an asset
                    • Strong technical solution management experience and skills
                    • Strong analytical skills including SQL/SAS/Python
                    • Strong skills in reporting tools such as Tableau
                    • +
                    +

                    +

                    What's in it for you?

                    +
                    • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
                    • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
                    • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
                    • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
                    • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
                    • +
                    +

                    +

                    *Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    +

                    At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                    ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Analyst%2C-Unsecured-Lending-Analytics%2C-Client-Solutions-Tangerine-ON-M2H0A1/577836017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,3,53,https://talenthub.vectorinstitute.ai/jobs/303711386-senior-analyst-unsecured-lending-analytics-client-solutions-tangerine-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Analyst%2C-Unsecured-Lending-Analytics%2C-Client-Solutions-Tangerine-ON-M2H0A1/577836017/,expired,2024-02-01T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +baf616f6-d85d-4fbd-8b6e-457d59c33b92,303762891,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2024-02-01T19:22:02.694Z,"

                    Req Id: 416312 

                     

                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                     

                    If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                     

                    Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                     

                     

                    +
                    +
                    +

                    Summary

                    +
                    +
                    +

                    Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                    +

                    This is an excellent opportunity for the right person to join our team and play a key role transforming the organization.  If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                    +

                    Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                    -
                    Do you have the right to work in your listed location?* -
                    -
                    -Which track are you interested in pursuing with Shopify?*
                    -Individual ContributorPeople Manager
                    -
                    -How many years of professional experience do you have in data engineering, not including academic experience and internships?*
                    -0-4 years5-7 years8-10 years11+ years
                    +
                    +
                    +

                    Key Responsibilities

                    -
                    -As a Data Engineer, how would you describe your approach to mentorship?*
                    -I\'m still learning the ropes, so I tend to focus more on absorbing knowledge myself.I\'m comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.
                    +
                      +
                    • This is an Agile development environment, working with the latest BI visualization tools and technologies
                    • +
                    • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                    • +
                    • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                    • +
                    • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                    • +
                    • Deliver on key projects and data strategies that directly support key business drivers
                    • +
                    • Work with and opportunity to present to various management levels
                    • +
                    • Maintain and expand your knowledge of BI and current technology through training opportunities
                    • +
                    -
                    -As a Data Engineer, how would you describe your experience on projects?*
                    -I haven\'t led a project yet, but I\'ve contributed to the tasks assigned to me and learned from the process.I\'ve led a small project or a part of a larger project from start to finish.I\'ve led multiple projects across teams and stakeholders, and was accountable for the project\'s success.I\'ve led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.
                    +
                    +
                    +

                    Critical Qualifications

                    -
                    -Describe your experience with data architecture and modeling concepts in your current or previous roles.*
                    -I have contributed to building data models within a data warehouse, with a clear and defined scope. I\'ve contributed to and led data modeling and design within a data warehouse, with an ambiguous scope.I\'ve led data modeling and design for complex concepts within a data warehouse frameworkI regularly lead the design and modeling of complex, large-scale data warehouse systems.
                    +
                      +
                    • +You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                        +
                      • Business analytics / business intelligence
                      • +
                      • applied math,
                      • +
                      • computer science,
                      • +
                      • applied science / engineering,
                      • +
                      • economics/econometrics,
                      • +
                      • Commerce
                      • +
                      • management science / operations research
                      • +
                      • or related area
                      • +
                      +
                    • +
                    • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                    • +
                    • You are highly analytical and understand the basic principles of working with large and complex data sets
                    • +
                    • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                    • +
                    • You have the ability to work with a team towards common goals
                    • +
                    • You are able to manage multiple projects and priorities.
                    • +
                    • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                    • +
                    -
                    -As a Data Engineer, what area would you prioritize for your main focus, aligning with your expertise and interest?*
                    -Bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.Building tooling and frameworks crucial for data processing and exposure, and creating custom software.Data modeling, incorporating intricate business logic, and constructing a robust data warehouse.Streaming data pipelines, delivering real-time data transport solutionsData science and analytics, constructing data marts for in-depth data analysis, and serving the business.
                    +
                    +
                    +

                    Preferred Qualifications

                    -
                    -
                    Please confirm you\'ve read and agree with our candidate NDA* +
                      +
                    • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                    • +
                    • Experience with BI and data warehouse technologies
                    • +
                    • Basic working knowledge of project management steps
                    • +
                    - +

                     

                    Additional Information:

                    Position Type: Management 
                    Job Status: Regular - Full Time 
                    Job Location: Canada : Ontario : Mississauga 

                    Flexible work profile: Mobile
                    Application Deadline: 02/09/2024 

                     

                    Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                     

                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                     

                    Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                     

                    Created: CanadaON, Mississauga

                     

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA416312EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-02-10T19:27:02.075Z,False,0,34,160,https://talenthub.vectorinstitute.ai/jobs/303762891-data-analyst-business-intelligence-at-bell-canada,BECACA416312EXTERNALENCA,expired,2024-02-01T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +3b4981e6-7275-4a50-bb52-df1c32f5d0f8,304593629,Sun Life Financial,"Manager, Analytics & Insights - (Fixed Term)",on_site,"Ontario, Canada",2024-02-05T06:44:02.340Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    This is a 12-Months contract position.

                    +

                    The Canadian Operations Workforce Management team is looking for a versatile leader to work on the implementation and maintenance of forecast models in a fast-paced operational environment. As a member of a dynamic and committed team of Workforce Management, the successful candidate will act as an expert and developer on a variety of forecasting projects and initiatives.

                    +

                    +

                    We are looking for a team leader with a strong quantitative background, a true passion for working with data, and more than 5 years of practical experience in building and implementing volume and staff forecast models.

                    +

                    Organization and attention to detail is key in this role, as the role provides analysis and generating forecasts used for operational decision making and continuous improvement initiatives for the senior leaders within Canadian Operations. The role directly supports multiple lines of business in Sun Life Financial Canada, by enabling a consistently high quality experience for our customers.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Formally applies statistical /scientific rigour to volume and staffing forecast.
                    • +
                    • Mentor and manage a team of data scientists, helping them develop their skills.
                    • +
                    • Organize and coordinate needs from multiple stakeholders, maintain and manage a backlog of work.
                    • +
                    • Ensures work provided by the Resource Planning team is thoroughly tested and mathematically sound.
                    • +
                    • Ensures data is accurate, timely and that results meet the clients’ needs. Makes suggestions to improve the client’s data driven decision making with statistical methods.
                    • +
                    • Ensures forecasts are updated and distributed on a periodic basis.
                    • +
                    • Regularly responsible for presenting results and findings to senior business leaders.
                    • +
                    • Responsible for ongoing development in a Continuous Improvement environment.
                    • +
                    • Responsible for staying up to date with relevant trends in the workforce management profession.
                    • +
                    • Acts as a subject matter expert or technical team lead on projects when required.
                    • +
                    • Work with project management leaders. Ensures their work meets required deadlines.
                    • +
                    • Ensures work is documented and transferable.
                    • +
                    +

                    +

                    What do you need to succeed?

                    +
                      +
                    • Minimum of Bachelor degree in Science, Statistics, Computer Science, Software Engineering, Mathematics, Econometrics, or equivalent. Graduate degree preferred.
                    • +
                    • Demonstrated data transformation & manipulation experience using Call Centre math/process (ErlangC, Simulation)
                    • +
                    • Experience using a variety of data analysis methods and forecasting techniques such as queuing analysis, simulation, discrete-event models, optimization, sensitivity analysis.
                    • +
                    • Demonstrated understanding of the techniques and issues associated with time series data
                    • +
                    • Experience measuring and interpreting forecast accuracy
                    • +
                    • Ability to assess model validity and appropriateness
                    • +
                    • Familiarity with querying/programming with experience in SQL and VBA.
                    • +
                    • Experience on building models on multiple toolset – R/Python, AWS Sagemaker
                    • +
                    • Should able to visualize model outcomes with other data on visualization platform like Tableau/Power BI
                    • +
                    • Ability to effectively present complex data adapted to a variety of audiences
                    • +
                    • Ability to build partnerships and develop relationships with a variety of stakeholders
                    • +
                    • People-management experience
                    • +
                    • Demonstrated ability to produce meaningful results from data
                    • +
                    +

                    +

                    What will be nice to have?

                    +
                      +
                    • Insurance or Financial Services industry experience.
                    • +
                    • Experience with analysis of unstructured data.
                    • +
                    • Practical leadership experience in an operational environment
                    • +
                    +

                    +

                    What’s in it for you?

                    +

                    Great Place to Work® Certified in Canada and the US - 2022

                    +

                    Great Place to Work® award for Best Workplaces for #HybridWork

                    +

                    2022 Named “Best Places to Work” by Glassdoor - 2021

                    +

                    Canada Award for Excellence for Mental Health at Work

                    +

                    2021 Flexible hybrid work model including in-country work-from-home if you prefer.

                    +

                    +

                    #LI-Hybrid #LI-remote

                    +

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    +

                    Salary Range:

                    76,000/76 000 - 125,000/125 000

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    11/02/2024
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Analytics---Insights----Fixed-Term-_JR00091842?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-12T06:49:02.600Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/304593629-manager-analytics-insights-fixed-term-at-sun-life-financial,,expired,2024-02-05T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e0595660-8e96-4471-a366-4aaf7bc56f96,250676775,TD Bank Group,Senior Analyst,on_site,"Toronto, ON",2023-07-24T15:53:01.655Z,"
                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Workplace Model

                    +
                    Hybrid
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    -
                    -
                    Please confirm you\'ve read our applicant privacy notice* +

                    +

                    Job Details

                    +
                    +

                    The Counterparty Credit Risk (CCR) Model Development group at TD is responsible for the development, maintenance, and calibration of CCR models. We frequently interact with various groups within the bank, including Technology, Market Risk Control (MRC), Capital Market Risk Management (CMRM), Model Validation (MV), etc. We are looking for a strong candidate to join the group as a Senior Advanced Modeling Analyst. The successful candidate will work primarily within the CCR team of Market risk Model Development to help develop new methodologies and models for the measurement of Counterparty Credit Risk, as well as maintaining and improving methodologies of existing models in production for CCR and xVA measurement as well as regulatory capital reporting.
                    Accountabilities

                    +
                      +
                    1. Develop new modeling methodologies used to measure counterparty credit risk
                    2. +
                    3. Perform ongoing maintenance and ad-hoc investigations of models already deployed in the existing CCR system
                    4. +
                    5. Interact with other business partners (e.g., Technology, MRC, CMRM, MV) to investigate and resolve modeling issues
                    6. +
                    7. Communicate model risk and provide full transparency around the model assumptions and usage with various stakeholders
                    8. +
                    9. Contribute to other one-time projects of the group
                    10. +
                    - +

                    +

                    Job Requirements

                    +
                      +
                    • Solid technical training with a graduate degree in science or engineering such as physics, chemistry, mathematics/statistics, computer science/engineering, Master of Mathematical Finance, or a similar discipline where mathematical modeling techniques are systematically studied and applied, such PDE, econometrics, stochastic processes and simulation.
                    • +
                    • Strong programming skills in one or more widely used languages such as C/C++/C#, VBA, python, Matlab, R, etc.
                    • +
                    • Knowledge of fundamental concepts and techniques in quantitative finance or strong interests in financial markets and associated modeling techniques +
                    • +
                    • Must be a team player with a focus on getting projects done effectively and efficiently
                    • +
                    • Good written and verbal communication skills is a definite asset
                    • +
                    • Prior knowledge or experience in quantitative finance and counterparty credit risk is an asset but not required
                    • +
                    +

                    +

                    Company Overview

                    +
                    +Our Values
                    At TD we're guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                    +

                    Making Your Well-being a Priority
                    A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they're more likely to do their best.

                    +

                    Our Total Rewards Package
                    Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                    +

                    How We Work
                    At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                    +

                    Who We Are
                    TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                    -
                    -
                    +

                    +

                    Inclusiveness

                    +
                    +Our Commitment to Diversity, Equity, and Inclusion
                    At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                    +

                    How We're Helping Make an Impact in Communities
                    TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                    +

                    Accommodation
                    Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                    +

                    We look forward to hearing from you!

                    -
                    -
                    ",,https://www.shopify.com/careers/data-engineering_36762da7-4c7f-4a13-b14d-943daecf37d0?,feed-importer@jobboard.io,,,,2024-05-28T01:41:03.765Z,False,0,5,90,https://talenthub.vectorinstitute.ai/jobs/320386669-data-engineering-at-shopify-inc,,expired,2024-04-30T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -66b1a606-c6cb-45c1-81b7-afef35e13020,321481843,Magna International,Senior Data Scientist,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2024-05-05T16:38:09.634Z,"
                    -
                    -

                    About the Role

                    -

                    The Senior Data Scientist will be a key member of the data analytics team. In this role, you will use your expertise to solve data related challenges in manufacturing operations and vehicle data analysis. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                    -
                    -
                    -

                    Your Responsibilities

                    -
                    -

                    · Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.

                    -

                    · Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.

                    -

                    · Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.

                    -

                    · Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.

                    -

                    · Leverage internal and external expertise as required.

                    -

                    · Regularly interface with senior management to provide project updates.

                    -

                    · Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.

                    -
                    -
                    -
                    -

                    Who we are looking for

                    -
                    -

                    · Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or a closely related education with 7+ years of experience in industry with a focus on data analytics and/or computer vision.

                    -

                    · Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science, or a closely related education with 10+ years of experience in industry with a focus on data analytics and/or computer vision.

                    -

                    · PhD preferred

                    -
                    -
                    -
                    -

                    Your preferred qualifications

                    -
                    -

                    Experience with a wide variety of ML and AI techniques and algorithms

                    -

                    · Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation

                    -

                    · Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda

                    -

                    · Knowledge of C++

                    -

                    · Experience with agile project management and related tools such as Confluence and JIRA

                    -

                    · Experience with cloud-based tools by Microsoft, AWS, Databricks

                    -

                    · Analytic tools and languages for statistical and machine learning models, especially Python

                    -

                    · Deep Learning frameworks and tools such as TensorFlow

                    -

                    · Data management using PySpark and SQL

                    -

                    · DevOps – GIT, Docker, CI/CD

                    -

                    -

                    Accommodations for disabilities in relation to the job selection process are available upon request.

                    -

                    Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                    -
                    -
                    -
                    -

                    What we offer

                    -

                    At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

                    -
                    -
                    -

                    Site Benefits

                    -
                    -
                    -
                    -

                    Awareness. Unity. Empowerment.

                    -

                    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                    -
                    -
                    ",,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/579691217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-05-30T16:46:02.350Z,False,0,7,65,https://talenthub.vectorinstitute.ai/jobs/321481843-senior-data-scientist-at-magna-international,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/579691217/,expired,2024-05-05T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, -470df79e-53ac-44c8-9631-2a37a4cd238e,320662698,Cohere AI,"Senior Member of Technical Staff, MLE",on_site,"Toronto, ON, Canada",2024-05-01T16:38:05.996Z,"
                    -
                    Who are we?
                    -
                    Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                    -

                    -
                    We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                    -

                    -
                    Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                    -

                    -
                    Join us on our mission and shape the future!
                    -

                    -
                    Why this role?
                    -
                    Lead the development of novel ideas.
                    -
                    Ship state of the art models to happy customers.
                    -
                    Help build and scale an engineering team.
                    -

                    -
                    We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                    -
                    -

                    As a Member of Technical Staff, you will:

                    -
                        -
                      • Plan and execute large-group projects that carry through from ideation to production.
                      • -
                      • Bring cross-functional alignment across engineering, product and other disciplines.
                      • -
                      • Mentor a distributed team of engineers in subject matter expertise.
                      • -
                      • Identify opportunities and gaps in existing models and strategize what to work on.
                      • -
                      • Work closely with product teams to develop solutions.
                      • -
                      • Engage in collaborations with our partner organizations.
                      • -
                      • Assist our legal teams with preparation of patents on developed IP.
                      • -
                      • Join us at a pivotal moment, shape what we build and wear multiple hats!
                      • -

                        -
                    -
                    -

                    You may be a good fit if you have:

                    -
                        -
                      • Prior experience in leading ML teams in applied research and production.
                      • -
                      • Prior experience in setting as well as executing technical direction to build new or to refine existing products.
                      • -
                      • Prior experience in working cross-discipline in matrixed organizations.
                      • -
                      • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                      • -
                      • Experience using large-scale distributed training and inference.
                      • -
                      • Strong mentorship, communication, and problem-solving skills.
                      • -
                      • A demonstrated passion for applied ML models and products.
                      • -
                      • Bonus: experience shipping on TPUs.
                      • -
                      • Bonus: experience working for B2B companies in the ML space.
                      • -
                      • Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP) .
                      • -

                        -
                        * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                        -
                    -
                    -

                    -

                    -
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                    -

                    -
                    We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                    -

                    -
                    Our Perks:
                    -
                    🤝 An open and inclusive culture and work environment
                    -
                    🧑‍💻 Work closely with a team on the cutting edge of AI research
                    -
                    🍽 Weekly lunch stipend, in-office lunches & snacks
                    -
                    🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                    -
                    🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                    -
                    🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                    -
                    🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                    -
                    ✈️ 6 weeks of vacation
                    -

                    -
                    Note: This post is co-authored by both Cohere humans and Cohere technology.
                    -
                    ",,https://jobs.lever.co/cohere/ef7dd181-1072-4b0e-9f4f-25143e33786c,feed-importer@jobboard.io,,,,2024-06-01T17:21:24.390Z,False,0,4,41,https://talenthub.vectorinstitute.ai/jobs/320662698-senior-member-of-technical-staff-mle-at-cohere-ai,https://jobs.lever.co/cohere/ef7dd181-1072-4b0e-9f4f-25143e33786c,expired,2024-05-01T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,No Degree,New Posting, -53d8717b-ca35-4b33-a7ac-89f8225d2655,324481715,Scotiabank,"Manager, Business Data Analyst - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-05-20T16:28:03.920Z,"

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18784812/senior-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-03T15:58:02.953Z,False,0,11,53,https://talenthub.vectorinstitute.ai/jobs/250676775-senior-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18784812/senior-analyst-toronto-ca/,expired,2023-07-24T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +f88707bf-8faf-4a6e-a0e0-9e1d28bbe6f8,266969904,Scotiabank,"Sr. Manager, Delivery, Enterprise Data & Analytics Platform Transformation - CID&A",on_site,Canada : Ontario : Toronto,2023-09-04T16:22:04.576Z,"

                    -

                    Requisition ID: 199638

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    Requisition ID: 184122

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    The world is changing faster than ever and so are we!

                    +

                    Purpose:

                    +


                    Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen! As a member of the Customer Insights, Data & Analytics (CIDA) team, the Senior Manager of Program Delivery, Enterprise Data & Analytics Platform Transformation is responsible for the successfully delivery of migration programs to cloud, supporting the design and execution of program strategy, governance and reporting.

                    +

                    A critical element of success for this role is the ability to foster trusted partnerships across all levels of the organization, a clear and concise communicator, with a consistent focus on accelerating maximum value to advance data and analytics across the Enterprise. The incumbent will have the opportunity to:

                    -

                    “Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                    +
                    • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.
                    • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
                    • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
                    • Learn from deep subject matter experts and industry leaders through mentoring, networking, on the job coaching and bespoke data, analytics and cloud training.
                    • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team. The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.
                    • +
                    +


                    Accountabilities:

                    -

                    Our Model Operations team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring is as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:
                    You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to data flows and sources, accurately estimating financial impacts, and implementing analytic pilots to test your hypotheses while spec’ing out how our modeling teams should use what you discovered.

                    -

                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                    +
                    • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
                    • Provide effective and pragmatic program management, delivery and storytelling expertise to simplify program messaging and narratives.
                    • Responsible for establishing and managing projects’ integrated plan in collaboration with project delivery team. Identify key stakeholders and involve subject matter experts as required.
                    • Create and manage Risks, Actions, Issues, Decisions (RAID) log and help drive decision-making and accountability by supporting cross-functional executive and senior management forums to align on opportunities, challenges and required actions.
                    • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
                    • Establish and maintain the overall program roadmap and related assets, processes, methodologies and accelerators.
                    • Build strong stakeholders’ relationships, ensure that projects success and customer benefits are aligned to overall program goals and expectations.
                    • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
                    • Contribute to the design, build and ongoing improvement of effective governance, project management, reporting & communications processes, templates, and tools.
                    • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.
                    • Effectively communicate and build rapport with team members, stakeholders and partners across both technology and business functions.
                    • Navigate complex organizational and stakeholder challenges, constraints, and roadblocks to effectively achieve the program’s objectives.
                    • Maintain a culture of exceptional customer service and cultivate an internal brand as a leading program advisor.
                    • Foster an environment of continuous personal growth.
                    • +
                    +


                    Requirements & Qualifications:

                    -

                    What Are We Looking For?

                    -

                    We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational processes into busines rules / algorithms and data flows, as they are challenging and working collaboratively with a diverse range of stakeholders to discover what everyone “does” (and, in fact, doesn’t) know (or remember) in the interest of improving our automated decision-making, forecasting and capital allocation.

                    +
                    • University Degree in business, engineering, or technology (MBA an asset), or equivalent.
                    • Minimum 3 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
                    • Strong project management skills and product owner mindset with excellent track record managing projects/programs with high complexity and dealing with multiple stakeholders.
                    • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
                    • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context.
                    • Excellent written, verbal and presentation skills in English; ability to summarize complex ideas in very simple but accurate terms. Spanish is an asset.
                    • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
                    • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
                    • Ability to identify, manage and collaborate with multiple stakeholders across a global footprint.
                    • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
                    • Knowledge of risk management environment, standards and regulations within a financial services organization.
                    • Ability to adapt and pivot within a team environment to changing program requirements.
                    • Strong organizational skills and meticulous attention to detail.
                    • Thorough working knowledge of Microsoft Office suite; superior PowerPoint and Excel skills (Confluence, JIRA and SharePoint skills are an asset).
                    • Knowledge of cloud data platforms, capabilities, and trends is an asset (but not required).
                    • +

                    -

                    We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Delivery%2C-Enterprise-Data-&-Analytics-Platform-Transformation-CID&A-ON-M5H1H1/573631817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/266969904-sr-manager-delivery-enterprise-data-analytics-platform-transformation-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Delivery%2C-Enterprise-Data-&-Analytics-Platform-Transformation-CID&A-ON-M5H1H1/573631817/,expired,2023-09-04T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +1162301e-a47a-4609-9619-4911fe72e124,266742769,Scotiabank,"Manager, Forecasting Models - Retail & Small Business (Contract)",on_site,Canada : Ontario : Toronto,2023-09-03T16:22:02.362Z,"

                    -

                    The ideal candidate will be a consummate team player who is equally comfortable being a:

                    -
                    • Business Analyst / Business Consultant / Financial Analyst
                    • Process Engineer
                    • Data Analyst / Data Scientist
                    • Software Architect
                    • -

                    -

                    Make an Impact
                    As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. As a Manager, you will report directly to a Senior Manager or Director and will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Business Line & Operations leaders, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                    -

                    You will work, day-to-day under the direction of the Model Operations team, leveraging your analytic thinking and approach to support the efforts of either the Director, Forecasting Models or the Director, Decisioning Models to:

                    -
                    • Plan and manage initiatives
                    • Map and / or re-engineer key processes, data flows and / or business rules
                    • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                    • -
                    +

                    Requisition ID: 181674

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Potential deliverables / outcomes may include (but not be limited to):
                    Improved operational efficiency and effectiveness
                    Quantitative analysis to support ongoing decision-making
                    Business, implementation and project plans that get executed to completion
                    Business rules, financial formulae and algorithms
                    Recommendations of what else “we should look into / fix” next

                    -

                    Is This Role Right for You?

                    -
                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                    • You are both deeply curious and highly pragmatic
                    • You are comfortable with data, analytic / technical and business processes
                    • You relish ambitious but realistic goals and are committed to achieving them
                    • You are comfortable initiating conversations and collaborating with diverse personalities
                    • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                    • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                    • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                    • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                    • You are professional, motivated AND FUN. We mean it.
                    • +

                      Overview:
                      The world is changing faster than ever and so are we!

                      +

                      +

                      “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                      +

                      +

                      Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                      +

                      +

                      What Are We Looking For?
                      We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                      +

                      +

                      To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                      +

                      +

                      We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                      +


                      Make an Impact
                      As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                      +

                      +

                      You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                      +

                      Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                      +

                      +

                      Is This Role Right for You?

                      +
                      • You believe, first and foremost, in always doing the right thing and doing things the right way
                      • You are both deeply curious and highly pragmatic
                      • You are comfortable with ambitious but realistic goals and are committed to achieving them
                      • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                      • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                      • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                      • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                      • You have a genuine love, passion and talent for programming, data, and predictive modeling
                      • You are committed to quality in everything you do – statistically, process and governance wise
                      • You look forward to sharing your insights through high-quality verbal & written communications
                      • You are professional, motivated AND FUN. We mean it.

                      -

                      What Do You Need to Succeed?
                      General

                      -
                      • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                      • A demonstrated history of problem solving and sound judgment
                      • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                      • Strong data analytic skillset is a must, combined with programming languages for the purpose of data discovery and mapping, solutioning, testing/validation and gap analysis
                      • Strong testing (BAT/QAT) abilities to be able to ensure testing coverage for new requirements and changes
                      • Strong English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                      • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                      • +

                        Sample projects that you might work on include:

                        +
                        • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                        • Prepare attribution and/or stock-flow analysis of product portfolios
                        • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                        • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                        • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                        • Identify, promote and lead process improvements for model development and monitoring
                        • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                        -

                        Technical

                        -
                        • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                        • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                        • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, SAS, Python, Excel, PowerBI) tools
                        • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                        • +

                          +

                          What Do You Need to Succeed?
                          General

                          +
                          • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                          • A demonstrated history of analytic problem solving and sound judgment
                          • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                          • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                          • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines

                          -

                          Nice to Have’s
                          General

                          -
                          • Proficient reading, writing and speaking Spanish
                          • Domain expertise with retail & small business banking products and / or risk management practices
                          • Familiarity with credit risk models / scorecards
                          • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                          • +

                            Technical

                            +
                            • Strong fundamental understanding of statistics
                            • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                            • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                            • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                            • Knowledge about credit risk models / scorecards

                            -

                            Technical

                            -
                            • An understanding of statistical prediction, estimation and forecasting models
                            • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                            • An appreciation for advanced statistical approaches used to assess and address uncertainty
                            • +

                              Nice to Have’s

                              +
                              • Proficient reading, writing and speaking Spanish
                              • Experience with credit risk forecasting and/or financial reporting frameworks
                              • Experience developing credit risk models / scorecards
                              • Experience working within loss forecasting, provisioning, IFRS 9 or CECL frameworks
                              • Domain expertise with any retail & small business banking products and/or risk management practices
                              • FRM, CFA credentials
                              • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                              • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                              • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)

                              -

                              What’s in It for You?

                              -
                              • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                              • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                              • You’ll have fun. We do.
                              • +

                                What’s in It for You?

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Data-Analyst-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/581108717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-03T16:33:02.784Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/324481715-manager-business-data-analyst-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Data-Analyst-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/581108717/,expired,2024-05-20T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -1ba9a4f3-f533-4cbd-b7c7-ddea1d63dd12,328796218,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-06-14T16:41:02.260Z,"
                    -
                    -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-%28Contract%29-ON-M5C2V9/572773917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/266742769-manager-forecasting-models-retail-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-%28Contract%29-ON-M5C2V9/572773917/,expired,2023-09-03T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bbb756a8-41c4-4b01-b137-f819b9fe11c6,264027711,Clearpath,Perception Developer,on_site,"Ontario, Canada",2023-08-27T02:24:01.951Z,"

                    Description

                    +

                    Position: Perception Developer
                    Location: Based in Kitchener-Waterloo, Ontario
                    Job Type: Full-Time Permanent
                    Experience: 1-5 Years Relevant Work or Academic Experience
                    Education: Graduate Degree in Related Field
                    Division: OTTO Motors

                    +

                    About OTTO™ Motors (Division of Clearpath Robotics)

                    +

                    OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                    +

                    About the Job

                    +

                    We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer position. This person will help develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, object detection and tracking, machine learning, computer vision and more.

                    +

                    The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                    +

                    Your primary responsibilities will be:

                    +
                      +
                    • Creating robust innovative solutions to the problems of robotic perception
                    • +
                    • Developing custom perception algorithms and systems related to localization and mapping, object detection and tracking, machine learning, computer vision, and more
                    • +
                    • Evaluating new sensing technology and robotic platforms
                    • +
                    • Assisting with concept development for new products and projects
                    • +
                    • Supporting the deployment and testing of robotic systems
                    • +
                    +
                    • Staying up to the date with the latest developments from academia and industry
                    +

                    Skills and experience:

                    +
                      +
                    • Graduate degree in engineering/CS or a related field, with applicable background.
                    • +
                    • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
                    • +
                    • Strong software development skills in modern C++ and Python.
                    • +
                    • Understanding of software development workflows, life cycles and development methodologies and tools.
                    • +
                    • Hands-on experience with real world autonomous systems.
                    • +
                    +

                    Bonus points for:

                    +
                      +
                    • Experience writing efficient, high performance code.
                    • +
                    • Experience with ROS, Gazebo, OpenCV and PCL.
                    • +
                    • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
                    • +
                    • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
                    • +
                    • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
                    • +
                    +

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    ",,http://jobs.jobvite.com/clearpath/job/o8oVnfwy,feed-importer@jobboard.io,,,,2023-09-14T18:10:00.000Z,False,0,9,55,https://talenthub.vectorinstitute.ai/jobs/264027711-perception-developer-at-clearpath,,expired,2023-08-27T02:24:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, +21f88ce5-74b5-4390-a6d4-3941f2934d12,260749043,TD Bank Group,Senior Business Insights Analyst Fraud Analytics,on_site,"Toronto, ON",2023-08-17T15:53:02.889Z,"
                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Workplace Model

                    +
                    Hybrid
                    +

                    +

                    Pay Details

                    +

                    We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -

                    -
                    Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                    +

                    +

                    Job Details

                    +
                    +

                    About this Role

                    +

                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                    +

                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                    +

                    As a Senior Business Insights Analyst, you will:

                    +
                      +
                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                    • +
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • +
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • +
                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                    • +
                    • Execute on data requests accurately and within a timely manner
                    • +
                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                    • +
                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                    • +
                    • Provides day-to-day support and delivery of analytics
                    • +
                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                    • +
                    • Considered an authority within a given area
                    • +
                    • Oversee and/or independently perform tasks from end to end
                    • +
                    -
                    -

                    You will:

                    -
                        -
                      • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                      • -
                      • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                      • -
                      • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                      • -
                      • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                      • -
                      • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                      • -
                      • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                      • -
                      • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                      • -
                      • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                      • -
                      • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                      • -
                      • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                      • -
                    -
                    -
                    -

                    You have:

                    -
                        -
                      • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                      • -
                      • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                      • -
                      • Extensive experience with PyTorch.
                      • -
                      • Track record of successfully delivering robust, scalable and production-ready ML models.
                      • -
                      • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                      • -
                      • Experience with data manipulation and processing, such as SQL or pandas.
                      • -
                      • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                      • -
                      • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                      • -
                      • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                      • -
                      • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                      • -
                    -
                    -
                    -
                    Benefits and Perks:
                    -
                    An engaging remote-first culture
                    -
                    A great compensation package that includes BenchSci equity options
                    -
                    A robust vacation policy plus an additional vacation day every year
                    -
                    Company closures for 14 more days throughout the year
                    -
                    Flex time for sick days, personal days, and religious holidays
                    -
                    Comprehensive health and dental benefits.
                    -
                    Annual learning & development budget
                    -
                    A one-time home office set-up budget to use upon joining BenchSci
                    -
                    An annual lifestyle spending account allowance
                    -
                    Generous parental leave benefits with a top-up plan or paid time off options
                    -
                    The ability to save for your retirement coupled with a company match!
                    -

                    -
                    About BenchSci:
                    -
                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    -
                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    -

                    -
                    Our Culture:
                    -
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    -
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    -
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    -

                    -
                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    -

                    -
                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    -

                    -
                    #LI-Remote
                    -
                    ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-07-17T18:08:36.243Z,False,0,7,61,https://talenthub.vectorinstitute.ai/jobs/328796218-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,expired,2024-06-14T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -4edf306a-ba88-4bb7-9631-aef76c1fbe21,330594093,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-06-24T01:14:02.111Z,"
                    -
                    -

                    Field Solutions Developer III, Generative AI, Google Cloud

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                    -corporate_fareGoogleplaceToronto, ON, Canada; Cambridge, MA, USA; +7 more; +6 more
                    -
                    -
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                    -bar_chartAdvanced -
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                    -

                    Advanced

                    -
                    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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                    -Apply
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                    info_outline
                    -XInfo This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.

                    This role may also be located in our Playa Vista, CA campus.

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.
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                    - -
                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
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                    • -
                    • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
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                    • -
                    • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
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                    • -
                    • Experience delivering technical presentations and leading business value sessions.
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                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Master\'s degree in Computer Science, Engineering, or a related technical field.
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                    • -
                    • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
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                    • -
                    • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
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                    • -
                    • Experience with distributed training and optimizing performance versus costs.
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                    • -
                    • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
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                    • -
                    • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
                      -
                    • -
                    -
                    -
                    -

                    About the job

                    -

                    As a Generative AI Field Solutions Developer, you will play a pivotal role in supporting our Google Cloud business organization. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.

                    -

                    You will leverage the Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                    -
                    -
                    -

                    Responsibilities

                    -
                      -
                    • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
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                    • -
                    • Demonstrate how Google Cloud is differentiated by working with customers on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
                      -
                    • -
                    • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
                      -
                    • -
                    • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities. Travel as needed.
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                    • -
                    -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    -

                    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                    -

                    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    -

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                    -

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    -
                    -
                    ",,https://www.google.com/about/careers/applications/jobs/results/134490933082104518-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-18T07:49:02.501Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/330594093-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,expired,2024-06-24T01:14:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -59f0f938-9602-461e-a6bf-a1594f77db06,334405078,TELUS,Senior Data Scientist - Advanced Data & Analytics,on_site,"Ontario, Canada",2024-07-18T06:04:03.317Z,"
                    +

                    +

                    Job Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • SQL and Python skills are a strong asset to the role
                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    #tdcybersecurity #LI-Post
                    +

                    +

                    Company Overview

                    +
                    +Our Values
                    At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                    +

                    Making Your Well-being a Priority
                    A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                    +

                    Our Total Rewards Package
                    Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                    +

                    How We Work
                    At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                    +

                    Who We Are
                    TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                    +
                    +

                    +

                    Inclusiveness

                    +
                    +Our Commitment to Diversity, Equity, and Inclusion
                    At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                    +

                    How We’re Helping Make an Impact in Communities
                    TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                    +

                    Accommodation
                    Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                    +

                    We look forward to hearing from you!

                    +
                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18915011/senior-business-insights-analyst-fraud-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-17T03:41:54.628Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/260749043-senior-business-insights-analyst-fraud-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18915011/senior-business-insights-analyst-fraud-analytics-toronto-ca/,expired,2023-08-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +da6fe22a-f686-4d36-843d-5aa0fa77dc56,260845502,Borealis AI,Senior Researcher,on_site,"Ontario, Canada",2023-08-18T02:19:03.255Z,"
                    +

                    What\'s the opportunity?

                    +

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                    • +
                    • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                    • +
                    +

                    What’s in it for you?

                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6892611002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-09-17T03:46:26.081Z,False,0,6,56,https://talenthub.vectorinstitute.ai/jobs/260845502-senior-researcher-at-borealis-ai,,expired,2023-08-18T02:19:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +2e0e9d6c-2752-4d53-9bb9-5c2730f9857f,260846642,TELUS,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2023-08-18T02:23:02.628Z,"

                    Description

                    +

                    Join our team and what we\'ll accomplish together

                    -

                    Our team and what we’ll accomplish together:

                    +

                    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                    -

                    Our TELUS Advanced Data and Analytics team is seeking an experienced and accomplished Senior Data Scientist to join our team. The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, and statistical modeling, along with a proven track record of delivering impactful insights and solutions.

                    +

                    We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                    -

                    Responsibilities:

                    +

                    Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                    +

                    +

                    You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI. As a Senior Machine Learning Engineer on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                    +

                    Here\'s how

                      -
                    • Collaborate with stakeholders to understand the business requirements and translate them into actionable data-driven solutions
                    • -
                    • Manage the comprehensive development and ongoing maintenance of machine learning initiatives aimed at preventing customer churn, segmenting customers, and targeting prospects and new customers
                    • -
                    • Analyze the performance of marketing campaigns and identify areas for improvement. By leveraging data insights, optimize campaign targeting, to maximize ROI and achieve marketing objectives
                    • -
                    • Design and analyze A/B tests to evaluate the effectiveness of different marketing strategies, messages, or designs. In order to make data-driven decisions and continuously improve marketing efforts
                    • -
                    • Act as a translator, effectively communicating between the business and data science team to ensure alignment and understanding of business needs, pain points, opportunities of improvements and objectives
                    • -
                    • Design and implement advanced machine learning models and algorithms to analyze large datasets and identify patterns and trends in customer behavior
                    • -
                    • Conduct thorough data analysis and experimentation to validate and optimize the performance of machine learning models
                    • -
                    • Develop and deploy scalable and efficient machine learning pipelines and workflows
                    • -
                    • Collaborate with data engineers and software developers to integrate machine learning models into production systems
                    • -
                    • Present findings and insights to both technical and non-technical stakeholders in a clear and concise manner
                    • -
                    • Mentor and provide guidance to junior data scientists and team members
                    • +
                    • Lead the iterative development, validation, and deployment of AI/ML models
                    • +
                    • Collaborate on end-to-end automation efforts required to bring models to production
                    • +
                    • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                    • +
                    • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                    • +
                    • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                    • +
                    • Develop re-usable code aimed at delivering on future goals faster and more reliably
                    • +
                    • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                    • +
                    • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                    -

                    -

                    Qualifications

                    +

                    What you bring

                      -
                    • Master\'s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
                    • -
                    • Proven experience 3+ years in developing and implementing machine learning models and algorithms for real-world applications
                    • -
                    • Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
                    • -
                    • Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
                    • -
                    • Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
                    • -
                    • Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
                    • -
                    • Strong problem-solving skills and the ability to think critically and analytically
                    • -
                    • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
                    • -
                    • Experience in leading and mentoring a team of data scientists is a plus
                    • +
                    • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                    • +
                    • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ years of hands-on work and practical business experience in the above areas
                    • +
                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                    • +
                    • You have advanced experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                    • +
                    • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                    • +
                    • You possess strong knowledge in SQL and distributed computing
                    • +
                    • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                    • +
                    • You are well versed in software and AI development lifecycles, including ML Ops
                    • +
                    • You are agile and have a bias for action, removing roadblocks to get results fast

                    -

                    Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!

                    -

                    -

                    Please note that the qualifications and responsibilities mentioned above are just a guideline

                    +

                    Great-to-haves

                    +
                      +
                    • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                    • +
                    • Experience with agile methodology and work in a start-up environment
                    • +
                    • GCP or other cloud certifications
                    • +

                    +

                    #LI-REMOTE #DSEjobs

                    -
                    ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-Advanced-Data-&-Analytics-ON/582828617/,feed-importer@jobboard.io,,,,2024-07-22T06:09:04.154Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/334405078-senior-data-scientist-advanced-data-analytics-at-telus,,expired,2024-07-18T06:04:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -a7ec6c6c-250a-411f-9e8d-abaf8acc04fb,333483359,Canadian Tire Corporation,"Manager, Merchandising Services and Data",on_site,"Ontario, Canada",2024-07-11T07:41:02.676Z,"
                    -
                    -

                    What you’ll do

                    -

                    The Manager of Merchandising Services & Data will be a results-driven, customer-centric leader who is responsible for shaping and maintaining Merchandise systems, tools, and data needs to enable complex business decisions and processes across FGL Merchandising & the broader banner and enterprise. They will ensure the departments systems and tool are in functioning order and are able to assist when troubleshooting is required, or critical failures occur. They will also enable access to data for partner analytic teams, to assist with enabling the business to make high-value data driven decisions. This person will also be accountable and responsible to build processes and procedures to ensure the quality, consistency and availability of Merch Owned Data, as well as the use and success of our Merch Systems and Processes. They will understand the needs of both the business and technology stakeholders, enabling a shared understanding of what is required on both sides, and establishing a climate of cross-functional collaboration.

                    -
                      -
                    • Problem Solving oriented leader and key stakeholder in moving Sport Chek towards a Customer First mindset and enabling the business to put the customer at the core of our decision making and executional tasks.

                    • -
                    • Responsible for defining data quality standards and rules to ensure user provided information is compliant with defined quality requirements within their assigned domain (Merch Data – COST, MERCH OPS PLANNING, PRICE, PRODUCT, INVENTORY, VENDOR, FORECASTING)

                    • -
                    • Act as Product Owner and Subject Matter Expert for FGL’s instance of PMM

                    • -
                    • Manage data asset practices and ensure data processes are in place (plan, monitor and enforce)

                    • -
                    • Ensure proper support procedures, methodologies, best practices, documentation, and tools are in place to support the various projects and existing production systems

                    • -
                    • Partner with cross-functional stakeholders to scope data and tool requirements and build data driven solutions to solve complex business problems.

                    • -
                    • Work alongside IT and Business stakeholders, managers and AVPs to manage, prioritize, design, test and implement system change requests

                    • -
                    • Support capability project work from a data flow and systems perspective

                    • -
                    • Automation & Efficiency: Use advanced problem solving and technical skills to eliminate manual work, drive process efficiencies and improve data and decision quality

                    • -
                    -
                    +
                    ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineer-ON/573177617/,feed-importer@jobboard.io,,,,2023-09-17T03:52:18.662Z,False,0,21,74,https://talenthub.vectorinstitute.ai/jobs/260846642-senior-machine-learning-engineer-at-telus,,expired,2023-08-18T02:23:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +5c070cf5-e911-4a8a-9328-201e82b42c15,262324944,OMERS,"Senior Data Scientist, Operations Research & Machine Learning",on_site,"Ontario, Canada",2023-08-22T02:24:02.537Z,"
                    +

                    +

                    +

                    The Senior Data Scientist will join the dynamic Enterprise Data & Advanced Analytics team within Data & Technology that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Senior Enterprise Data Scientist will partner with business and corporate functions to design, develop, and scale Optimization/Operations Research and Machine Learning products.

                    -

                    What you’ve done

                    -
                    -
                    -
                    +

                    Reporting to the Director of Enterprise Data Science, you will work closely with our Businesses, Corporate Functions, Enterprise Architecture, Business Relationship Management, Cyber, Data Engineering, Data Governance, and Strategy teams to deploy new capabilities following leading product management and engineering methodologies. You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio and elevate the understanding & application of these capabilities across the company.

                    +

                    +

                    As a member of this team, you will:

                      -
                    • Post-secondary education in STEM (Science, Technology, Engineering, Mathematics), Business or related discipline

                    • -
                    • Strong knowledge of merchandising processes, tools and technology

                    • -
                    • Experience and technical knowledge of PMM is considered an asset

                    • -
                    • Good knowledge and affinity for application, report and database design

                    • -
                    • Advanced SQL, Macros, and VBA skills

                    • -
                    • Advanced Automation and / or Microsoft Power Automation experience

                    • -
                    • Motivated, self-starter with the ability to function in an environment with a high level of ambiguity

                    • -
                    • Experience working on cross-functionally driven initiatives; the ability to build partnerships across teams

                    • -
                    • Solid leadership skills and presence; highly developed sense of accountability, passion and track record for delivering consumer-focused results

                    • -
                    • Knowledge of industry trends, advancements, methodologies, and best practices – particularly in Data Governance within the retail environment

                    • -
                    • Ability to work on multiple initiatives at a time, with a high attention to detail, organization, and time management. Ability to prioritize is a critical asset.

                    • -
                    • Strong communicator, both written and oral.

                    • +
                    • Design and implement Optimization & Machine Learning solutions to improve decision-making processes
                    • +
                    • Perform data preprocessing, feature engineering, and selection to ensure the quality and relevance of input data for modeling and, if relevant, optimization tasks
                    • +
                    • Drive the implementation of corporate/strategic objectives via AI/ML driven projects and discovering opportunities
                    • +
                    • Lead projects from experiments and hands-on solutioning through to production
                    • +
                    • Build and maintain NLP models using state of the art techniques like transformers for the purposes of classification, sentiment analysis, entity extraction, and more
                    • +
                    • Mentor junior data scientists and the data science community at large and participate in continuous self-learning and mentorship
                    • +
                    • Hands on creation and oversight of models, conducting model training, validation, testing and ongoing data and model integrity maintenance
                    • +
                    • Provide guidance to the team by drawing on the understanding of business and technology objectives, available technology functionality, business impact and resource capacity
                    • -

                      Ability to connect technical and business:

                      +Remain on the “leading edge” of emerging data, optimization and AI technologies and techniques to identify and implement novel tools and techniques and their application to new use cases and deployment opportunities +
                    • +
                    • Drive a culture of innovation and AI by taking initiatives for activities such as lunch and learns, hackathons, paper readouts, etc.
                    • +
                    +

                    +

                    To succeed in this role, you have:

                    +
                      +
                    • Minimum eight (8) years’ experience working in an Operations Research/ Machine Learning environment
                    • +
                    • 3-5+ years of experience leading and delivering enterprise-scale operations research/ML projects and facilitating collaboration across teams
                    • +
                    • Master\'s or PhD degree in Mathematics, Operations Research, Computer Science, or a related field, ideally with a focus on machine learning or optimization, or a combination of both
                    • +
                    • Proven track record of designing, implementing, and deploying machine learning models and/or optimization solutions to address real-world problems
                    • +
                    • Proficiency in programming languages such as Python, along with experience using machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
                    • +
                    • Strong understanding of various optimization techniques, including linear programming, integer programming etc. along with optimization tools (e.g., Gurobi, CPLEX) is a huge plus
                    • +
                    • Solid knowledge of statistical analysis and experimental design to evaluate model and algorithm performance effectively
                    • +
                    • Recent experience with distillation of NLP tasks from larger models to task specific smaller models is an asset
                    • +
                    • Effective communication skills to convey complex technical concepts to both technical and non-technical audiences
                    • +
                    • Experience with framework such as TensorFlow, Keras, PyTorch, and others
                    • +
                    • Proficiency with git
                    • +
                    • Experience within Pensions, Investments and Commercial Real Estate sectors along with logistics, supply chain is an asset
                    • +
                    • Hands-on experience with big data systems such as Spark, Hadoop, Hive and ideally cloud platforms such as Azure, GCP, AWS, etc.
                    • +
                    • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating teams and delivering multiple projects simultaneously serving multiple stakeholders
                    • +
                    • The ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                    • +
                    • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                    • +
                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Data-Scientist_JR-5287?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-09-19T02:30:03.455Z,False,0,9,36,https://talenthub.vectorinstitute.ai/jobs/262324944-senior-data-scientist-operations-research-machine-learning-at-omers,,expired,2023-08-22T02:24:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +9e736ebb-c9d4-4bad-b5de-95ae1497e817,272367540,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-21T12:28:03.501Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    +

                    Role Summary:

                    +

                    Sun Life Financial is a leading international financial services organization providing a diverse range of insurance, wealth and asset management solutions to individual and corporate Clients. Canadian Group Benefits business is the largest private payer of healthcare in Canada with over 3 million members. Our goal is to help Canadians lead healthier lives through workplace benefit programs, ensure outstanding experience when they engage with Sun Life and equip them with tools to manage their health needs.

                    +

                    +

                    GB Analytics team has a mandate to work across functions to deliver insights critical for business decisions, identify growth opportunities and use data to improve health and financial outcomes. The team collaborates closely with Canadian Data & Analytics and Enterprise Services teams.

                    +

                    +

                    Reporting to AVP, Analytics and Strategy as Senior Data Engineer, you will accelerate the growth and application of analytics across Group Benefits. You will also leverage practical experience in applying varied data engineering techniques and design, develop and implement analytics use cases.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Work directly with business stakeholders throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts.
                    • +
                    • Provide plans and estimates for data engineering and business intelligence initiatives
                    • +
                    • Lead development of new batch/low-latency analytical solutions that leverages both traditional and emerging technologies
                    • +
                    • Design, develop and implement highly scalable data capture and transformation processes
                    • +
                    • Create effective ETLs/ELTs to move large volumes of data from various operational systems to dimensional data models for analytics consumption
                    • +
                    • Act as principal designer and reviewer for new data models, make data architectural decision, and provide coaching on data modeling and process design
                    • +
                    • Expand and grow data existing platform capabilities to solve new data problems and challenges
                    • +
                    • Ensure all automated processes preserve data integrity by managing the alignment of data availability and integration processes
                    • +
                    • Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources
                    • +
                    • Identify opportunities for new data acquisition and new uses for existing data resources
                    • +
                    • Research and make recommendations for new data management technologies and software engineering practices. Collaborate on decisions around the use of new tools and practices
                    • +
                    • Perform quality assurance and testing according to risk assessment guidelines to minimize operational, reputation, and legal risk.
                    • +
                    • Define data retention policy, establish data governance best practice, and create automated anomaly detection services
                    • +
                    • Document and update business continuity and disaster recovery procedures.
                    • +
                    • Engage in ongoing collaboration with data architects, modelers and other members to achieve common goals.
                    • +
                    • Provide guidance to development teams regarding best practices and design patterns for analytics solutions. Coach and provide guidance to junior team members
                    • +
                    • Produce and maintain support documentation for ongoing operations.
                    • +
                    • Act as Tier-2/3 support to troubleshoot and resolve technical issues with production data models and
                    • +
                    • Turn complex data into easy to understand data models that are aligned to business objectives
                    • +
                    • Develop a user experience that is simple, yet flexible and enable the data scientists and business intelligence developers that use this data
                    • +
                    • Incorporate data governance and access controls for data management and access in Tableau
                    • +
                    • Manage and coach data analyst on the team in their analytics development journey
                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    +

                    Education and Experience

                    +
                    • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                    +
                      +
                    • Expertise in visual data model design and business intelligence principles
                    • +
                    • 5+ years of experience in:
                        +
                      • Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data
                      • +
                      • Cloud platforms like Amazon Web Services (AWS)
                      • +
                      • SQL Programming, PL/SQL and stored procedures
                      • +
                      • Experience with Glue and ETL development is a bonus
                      • +
                      • Experience working with Cloud technologies like Amazon Web Services (AWS)
                      • +
                      • Working in an agile development environment including rapid prototyping during sprints
                      • +
                      +
                    • +
                    +

                    Competencies:

                    +
                      +
                    • Experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services
                    • +
                    • Solid understanding of data warehousing principles, architecture and its implementation in complex environments.
                    • +
                    • Hands-on experience with development of ELT/ETL processes in traditional and distributed environments
                    • +
                    • Experience as designer of complex Dimensional data models for analytics services
                    • +
                    • Experience with development for Microsoft SQL Server Analysis Services or equivalent technologies
                    • +
                    • Experience with various testing methodologies and user acceptance testing.
                    • +
                    • Solid skills in SQL, Python and other languages used in data manipulation
                    • +
                    • Experience with Hadoop and Big Data technology
                    • +
                    • Experience with processing large datasets from multiple sources.
                    • +
                    • Ability to operate effectively and independently in a dynamic, fluid environment.
                    • +
                    • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.
                    • +
                    • Demonstrated ability to exchange ideas and convey complex information clearly and concisely
                    • +
                    • Proven ability to lead and drive projects and assignments to completion
                    • +
                    • Experience Tableau data sources and organizing them in structured dimensions and measures for business use
                    • +
                    • End-to-End development experience in Tableau and ability to create complex calculations including Custom SQL, Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                    • +
                    • Using blending, sorting, sets and maps in Tableau
                    • +
                    • Leveraging Tableau Prep for data organization and scheduling
                    • +
                    • Ability to understand data modeling based on user specs
                    • +
                    • Experience tuning the performance of Tableau Server dashboards to optimize client experience
                    • +
                    • Designing custom landing pages for Tableau Server for enhanced user experience and tracking utilization
                    • +
                    • Strong understanding of the economics of the business intelligence value stream and the value proposition of analytics services
                    • +
                    • Ability to work independently, manage engagements or parts of large engagements directly with business partners.
                    • +
                    • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                    • +
                    • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                    • +
                    • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
                    • +
                    +

                    +

                    What will be nice to have?

                    +
                      +
                    • Tableau development and designing dashboards experience
                    • +
                    • Tableau PostgreSQL hands-on analysis
                    • +
                    • Tableau Server and Site administration in prior roles
                    • +
                    • Tableau Desktop and Server / Site Admin Certifications are a bonus
                    • +
                    • Statistical analysis and experience with Python or R prior training or projects
                    • +
                    • PMP and/or Scrum Master certification and experience with SAFe (Scaled Agile Framework)
                    • +
                    • Experience with Lean Six Sigma principles
                    • +
                    +
                    • Experience in Group Benefits and Insurance or Financial Services Industry
                    +

                    +

                    Unique Job Requirement

                      -
                    • Business need to technical solutions & opportunities

                    • -
                    • Translate technical details in a manor suitable for the business

                    • -
                    • Partner with technical teams to relay business needs and issues

                    • +
                    • The candidate selected for this role is required to get or already have special Government clearance from the Royal Canadian Mounted Police
                    • +
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                    +

                    +

                    What\'s in it for you?

                    +

                    +

                    +
                      +
                    • Competitive salary and bonus structure influenced by market range data
                    • +
                    • 20 days vacation per year and an innovative sabbatical program
                    • +
                    • Great Place to Work® Certified in Canada and the US - 2022
                    • +
                    • +Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote
                    • -
                    • Work both collaboratively and individually

                    • -
                    • Lead and manage a team

                    • -
                    • Work to deadlines & deliverable milestones

                    • -
                    • Creative solutioning for business problems and opportunities

                    • +
                    • A friendly, collaborative and inclusive culture
                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                    • +
                    • Flexible Benefits from the day you join to meet the needs of you and your family
                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security
                    • +
                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    -

                    Hybrid

                    -

                    At Canadian Tire we value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                    -
                    -

                    -

                    About Us

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    At Sport Chek, we want to find what moves you, and help build your career from there. As Canada’s destination for footwear, apparel, and sporting goods; we believe that sport and activity has the power to help shape your style, your relationships, and your mind. Along with colleagues across the Canadian Tire family of companies, you’ll be a part of a collaborative network of like-minded individuals who draw on their collective experience to best serve customers across all banners from coast-to-coast. Join us, where there\'s a place for you here.

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    Our Commitment to Diversity, Inclusion and Belonging

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    Accommodations

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    +

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    01/10/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00085596?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-02T12:33:03.142Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/272367540-senior-data-engineer-at-sun-life-financial,,expired,2023-09-21T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c17d1d2c-935c-4c0d-bd20-9f0f2a235d4a,269931367,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-09-15T02:15:02.464Z,"
                    +

                    Application Deadline:

                    09/28/2023

                    -
                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Manager--Merchandising-Services-and-Data_JR136457?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-07-25T05:58:01.819Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/333483359-manager-merchandising-services-and-data-at-canadian-tire-corporation,,expired,2024-07-11T07:41:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Manager,Bachelors Degree,New Posting, -6946a811-cc92-418a-afbc-3e8f4b0fb610,334967083,BMO Financial Group,Business Intelligence Associate,on_site,"Ontario, Canada",2024-07-22T07:29:01.689Z,"
                    -

                    Application Deadline:

                    08/01/2024

                    -

                    Address:

                    100 King Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    Keys for the role:

                    -
                      -
                    • Power BI Data Analytics preferred
                    • -
                    • SQL
                    • -
                    • Power Automate, Power App
                    • -
                    • Excel
                    • -
                    • Understanding of financial products, knowledge or Capital Markets experience, preferable .
                    • -
                    • Will consider strong Data Science experience with some visualization.
                    • -
                    +

                    The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                    -

                    The Analytics & Reporting group is accountable for continuous improvement of the analytics and reporting process across Capital Markets and International Operations. The group requires specialized business and valuation skills.

                    -

                    -

                    The Business Intelligence Associate will assist in the digitalization of the reporting process using Power BI.

                    -

                    This is an exciting opportunity for a Data Scientist who is looking to enhance their data visualization skill, building out solutions to bring value to the existing data and analytics.

                    -

                    The Business Intelligence Associate consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    -

                    -

                    -

                    Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                    -
                      -
                    • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques.
                    • -
                    • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                    • -
                    • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                    • -
                    • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                    • -
                    • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                    • -
                    • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                    • -
                    • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    +

                    The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    -

                    Qualifications:

                    -

                    Foundational level of proficiency:

                    +

                    +

                    Job Description

                      -
                    • Technical design optimization.
                    • -
                    • Decision Making.
                    • -
                    • Systems Thinking.
                    • -
                    • Data visualization.
                    • -
                    • Data storytelling.
                    • -
                    • Data mining.
                    • -
                    • Illustration.
                    • -
                    • Creative thinking.
                    • -
                    • Problem Solving.
                    • +
                    • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
                    • +
                    • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
                    • +
                    • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
                    • +
                    • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
                    • +
                    • Communicate with model validation to ensure successful validation of the developed methodologies.
                    • +
                    • Monitors and tracks developed and future model performance, and address any potential issues
                    • +
                    • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
                    • +
                    • Help with routine processes such as stress testing model runs and annual model reviews.
                    • +
                    • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
                    -

                    Intermediate level of proficiency:

                    +

                    Qualifications

                      -
                    • Insights design.
                    • -
                    • Insights development and reporting.
                    • -
                    • Verbal & written communication skills.
                    • -
                    • Collaboration & team skills.
                    • -
                    • Analytical and problem solving skills.
                    • -
                    • Data driven decision making.
                    • -
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Technical proficiency gained through education and/or business experience
                    • -
                    • University degree in business/commerce, data sciences, engineering, finance, mathematics or equivalent degree
                    • -
                    • Advanced knowledge and understanding of key financial products and P&L related processes.
                    • -
                    • Strong proficiency with Excel, programming knowledge in VBA and SQL, and experience with database maintenance and navigation
                    • -
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, Tableau, SQL, SAS, R, Python, MATLAB, SPSS
                    • +
                    • Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
                    • +
                    • 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
                    • +
                    • Strong data analysis skills, and able to deal with large data sets to extract relevant information.
                    • +
                    • Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
                    • +
                    • Proficiency with statistical/econometric modeling techniques
                    • +
                    • Experience with Machine Learning and Artificial Intelligence techniques is preferred
                    -
                    -

                    -

                    Salary:

                    -
                    $54,500.00 - $101,500.00

                    -

                    Pay Type:

                    Salaried

                    -

                    The above represents BMO Financial Group’s pay range and type.

                    -

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    -

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    +

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports data collection, integration, and retention requirements for data.
                    • +
                    • Develops experimental design approaches to validate findings or test hypotheses.
                    • +
                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                    • +
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • +
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • +
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                    • +
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • +
                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +

                    We’re here to help

                    @@ -35411,269 +35017,630 @@ a7ec6c6c-250a-411f-9e8d-abaf8acc04fb,333483359,Canadian Tire Corporation,"Manage

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Intelligence-Associate_R240017320?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-25T07:34:02.921Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/334967083-business-intelligence-associate-at-bmo-financial-group,,expired,2024-07-22T07:29:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -583dc02b-2655-41d4-8353-4c16516609db,331196403,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:04.686Z,"
                    -
                    -

                    Join our team and what we\'ll accomplish together

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-02T12:24:02.885Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/269931367-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-09-15T02:15:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +7c2754f0-a65d-44e3-b4ef-f29bf493dff7,285099604,CIBC,"Senior Manager, Cards Analytics & Insights",on_site,"Ontario, Canada",2023-11-02T12:17:02.158Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    +

                    What You’ll Be Doing

                    +

                    Reporting to the Director, Cards Analytics & Insights the Senior Manager – Cards Analytics & Insights will be a leading contributor in the Analytics & Decision Science team supporting the Cards business within Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaign, pricing and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How You’ll Succeed

                    +
                      +
                    • +Consultant – be a leader in analytics consulting – you will combine analytical work with domain knowledge to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth.
                    • +
                    • +Analytics – identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviours and business trends; proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.
                    • +
                    • +Technology – leverage big data/analytical tools to analyze large structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
                    • +
                    • +Ownership – orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
                    • +
                    • +Communication – find the story in data and be flexible in communicating at varying levels of details for the right audience.
                    • +
                    +

                    +

                    Who You Are

                    +
                      +
                    • +You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
                    • +
                    • +You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
                    • +
                    • +You are proficient in programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).
                    • +
                    • +You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
                    • +
                    • +You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
                    • +
                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                    • +
                    • +You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.
                    • +
                    • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                    • +
                    • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • +
                    +

                    +

                    +

                    What CIBC Offers

                    +

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    +

                    +

                    *Subject to plan and program terms and conditions

                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-81 Bay, 25th Floor

                    +

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    +

                    Skills

                    Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Cards-Analytics---Insights_2318281?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-11-13T12:22:03.395Z,False,0,4,53,https://talenthub.vectorinstitute.ai/jobs/285099604-senior-manager-cards-analytics-insights-at-cibc,,expired,2023-11-02T12:17:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8f2a5260-0564-4c4d-9765-ab98091a2b60,281692323,RBC,"Senior Analytics Manager, SOX & IA Shared Services",on_site,"Toronto, ON, Canada",2023-10-19T12:21:02.164Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Senior Analytics Manager, SOX & IA Shared Services

                    +

                    +

                    Job Description

                    +

                    What is the opportunity?

                    +

                    +

                    To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across Sarbanes-Oxley (SOX) & Internal Audit Shared Services. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                    +

                    +

                    The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.

                    • +
                    • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.

                    • +
                    • Automate and productionize the testing of key business and IT controls to enable auditors in continuously monitoring key risks across the enterprise.

                    • +
                    • Collaborate with other data analysts, data engineers, data product leads and data scientists within Internal Audit to scale your ideas from concept to production.

                    • +
                    • Help develop the vision for automated control test and process enhancements, supporting with the development of business cases, development requirements, product roadmaps, and product backlogs.

                    • +
                    • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.

                    • +
                    • Design, develop and maintain productionized applications and dashboards for our end users.

                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    Must have

                    +
                      +
                    • Degree in a quantitative field, and experience with either Python or R as well as SQL

                    • +
                    • Experience building natural language processing (NLP) and unsupervised learning models

                    • +
                    • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)

                    • +
                    • Ability to own and manage a backlog, with a value-based understanding of all stakeholders. Excellent collaborator and stakeholder management experience.

                    • +
                    • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition

                    • +
                    +

                    +

                    Nice to have

                    +
                      +
                    • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool) and experience working with Dataiku

                    • +
                    • Understanding of software engineering design principles

                    • +
                    • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders

                    • +
                    • Project Management Experience and Lean Six Sigma Yellow Belt or equivalent in process improvement

                    • +
                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

                    • +
                    • Leaders who support your development through coaching and managing opportunities

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Opportunities to do challenging work

                    • +
                    • Flexible work/life balance options

                    • +
                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    20 KING ST W:TORONTO

                    City:

                    CAN-NS-BEDFORD, CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-10-17

                    Application Deadline:

                    2023-11-13
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000069909/Senior-Analytics-Manager-SOX-IA-Shared-Services,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-11-13T20:36:00.000Z,False,0,2,77,https://talenthub.vectorinstitute.ai/jobs/281692323-senior-analytics-manager-sox-ia-shared-services-at-rbc,,expired,2023-10-19T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +0230ccd9-6f9b-4e2c-82d6-5fd03272c1a6,285961334,Scotiabank,"Senior Manager, Tangerine Fraud Analytics",on_site,Canada : Ontario : Toronto,2023-11-06T16:24:02.501Z,"

                    +

                    +

                    Requisition ID: 187940

                    +

                    Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                    +

                    +

                    Purpose
                    As the Senior Manager, Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures. You will also proactively contribute to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Credit Cards, Unsecured Lending Products and Mortgages.

                    What you will do in this role:
                    • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Lead a team that is accountable for developing, executing and monitoring fraud strategies across multiple platforms and product lines for Canadian Banking, leveraging best in class analytics
                    • Ensure data mining tools (SAS, Angoss, Python, R) are effectively leveraged to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                    • Own the development of fraud forecasting and provide insight to fraud operations and business leaders
                    • Analyze and report on performance of existing fraud strategies for Canadian Banking
                    • Identify and leverage new data, adopt new techniques and technology to improve fraud strategy performance
                    • Proactively identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams
                    • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                    • Lead / participate in the identification, development and implementation of new initiatives
                    • Work with fraud operations and other business partners to ensure delivery of new initiatives
                    • Contribute to and support a variety of projects and initiatives across the Fraud Management Group; effectively manage and prioritize initiatives, projects and ad-hoc analysis with stakeholders
                    • Participate in discussions with IT partners and vendors on requirements and solution design
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

                    What we're looking for:

                    • A University degree in statistics, mathematics or computer science
                    • 5+ years analytical experience including advanced statistical analysis, ideally related to Fraud Analytics or Risk Management; ability to draw and communicate key insights from data
                    • Experience with statistical software such as SQL, SAS and/or Knowledge Seeker
                    • Experience with fraud management platform such as PRM/TSYS/VCAS strongly desired
                    • Proficient in building complex financial models that impact strategic decisions and provide product risk analysis
                    • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                    • Strong communication skills essential with clients, vendors and management
                    • Must be self-motivated, energetic and results-oriented and committed to adding value

                    +

                    Location(s): Canada : Ontario : Toronto

                    +

                    At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                    ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/575438617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-13T16:29:03.133Z,False,0,4,39,https://talenthub.vectorinstitute.ai/jobs/285961334-senior-manager-tangerine-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/575438617/,expired,2023-11-06T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8321217f-0d15-4f83-aaf6-68b1bdcc88d0,269935125,Sifio Health,Software Development Associate,full,Anywhere,2023-09-15T03:12:46.404Z,"

                    Software Development Associate

                    +

                    Job Description

                    +

                    Sifio Health is revolutionizing the healthcare industry through our SaaS-based workflow optimization software. Our platform simplifies, streamlines and optimizes operations by replacing disjointed, cumbersome and manual processes with a comprehensive, industry-specific application that serves the unique needs of the healthcare workforce.

                    +

                    By analyzing operational data, Sifio Health dramatically increases a healthcare provider’s efficiency by surfacing key insights on current workflow needs as well as personalized recommendations to optimize future workflow needs. Through our platform, hospitals can focus more time and energy delivering high quality clinical support as opposed to managing the administrative burden.

                    +

                    Currently, we are looking for a Software Development Associate with previous experience in development or engineering or similar positions in technical environment.

                    +

                    You will work closely with our founder, JP Eskander, in an entrepreneurial environment to further develop the product roadmap and refine the technology stack of the Sifio Health platform.

                    +

                    Must have:

                    +
                      +
                    • Bachelor degree in computer science, software engineering or similar majors
                    • +
                    • Minimum 2 years of experience in software development and related areas
                    • +
                    • Experience working with technical teams
                    • +
                    • Hands-on experience with full-stack web development with .NET Core or similar MVC frameworks and development of complex applications in production
                    • +
                    • Experience with software project scoping, cost estimating, product roadmaps and planning
                    • +
                    • Experience with cloud computing and SaaS platforms; specifically, the AWS platform is an asset
                    • +
                    • Experience with productionizing machine learning models and setting up MLOps
                    • +
                    +

                    Required skills:

                    +
                      +
                    • Deep knowledge of software architecture design patterns
                    • +
                    • Experience with dev-ops, cloud infrastructure and end-to-end product development and deployment
                    • +
                    • Experience with Agile Project management and Lean Startup methodologies
                    • +
                    • Excellent written and verbal communication skills
                    • +
                    • Entrepreneurial, self-starter with the ability to work independently
                    • +
                    • Strategic thinker and consultative mindset
                      +
                      +
                    • +
                    +

                    Great to have:

                    +
                      +
                    • Master’s or PhD degree in software engineering or similar
                    • +
                    • Software development consulting or freelance experience with startups
                    • +
                    • Knowledge of data, analytics and machine learning
                    • +
                    • Familiarity with healthcare systems and industry standards
                    • +
                    +

                    Responsibilities

                    +

                    - End-to-end product development, including web/cloud development

                    +

                    - Architectural design and product roadmap development

                    +

                    - Implementation of software development best practices including Agile Development

                    +

                    - New client onboarding and technical support of the Sifio Health platform

                    +

                    - DevOps and implementation of software development processes

                    +

                    - Technical leadership, hiring and training

                    ",Careers@sifiohealth.com,,jp.eskander@sifiohealth.com,https://sifiohealth.com/,,,2023-11-14T16:58:51.914Z,False,13,0,203,https://talenthub.vectorinstitute.ai/jobs/269935125-software-development-associate-at-sifio-health,,expired,2023-09-15T03:12:00.000Z,website,Startup (1-19),Vector Quick Apply,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Associate,Masters Degree,New Posting, +66beee1e-bfb9-4a34-b298-028634488209,292677747,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-12-03T16:30:01.676Z,"
                    -


                    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                    -

                    -

                    Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                    -

                    -
                    +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research.
                    -
                    -

                    What you\'ll do

                    +

                    +
                    Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                    +
                    +

                    You will:

                    +
                        +
                      • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                      • +
                      • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                      • +
                      • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                      • +
                      • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                      • +
                      • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                      • +
                      • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                      • +
                      • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                      • +
                      • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                      • +
                      • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                      • +
                      • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                      • +
                    +
                    +

                    You have:

                    +
                        +
                      • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                      • +
                      • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                      • +
                      • Extensive experience with PyTorch.
                      • +
                      • Track record of successfully delivering robust, scalable and production-ready ML models.
                      • +
                      • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                      • +
                      • Experience with data manipulation and processing, such as SQL or pandas.
                      • +
                      • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                      • +
                      • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                      • +
                      • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                      • +
                      • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                      • +
                    +
                    +
                    Benefits and Perks:
                    +
                    An engaging remote-first culture
                    +
                    A great compensation package that includes BenchSci equity options
                    +
                    A robust vacation policy plus an additional vacation day every year
                    +
                    Company closures for 14 more days throughout the year
                    +
                    Flex time for sick days, personal days, and religious holidays
                    +
                    Comprehensive health and dental benefits.
                    +
                    Annual learning & development budget
                    +
                    A one-time home office set-up budget to use upon joining BenchSci
                    +
                    An annual lifestyle spending account allowance
                    +
                    Generous parental leave benefits with a top-up plan or paid time off options
                    +

                    +
                    About BenchSci:
                    +
                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    +
                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    +

                    +
                    Our Culture:
                    +
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    +
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    +
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    +

                    -

                    -
                      -
                    • Collaborate with both technology and business partners and domain architects in order to design robust enterprise grade solutions
                    • -
                    • Document various solution options and recommend the best approach balancing constraints and future needs
                    • -
                    • Propose solutions to enable business objectives while advancing enterprise tech strategies
                    • -
                    • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                    • -
                    • Capture issues with the data that impact key business drivers and relay them to the product management teams
                    • -
                    • Support the data pipelines feeding into our machine learning algorithms and models
                    • -
                    • Participate in requirements review sessions or attend intake assessment meetings to estimate effort for high-level solutions
                    • -
                    -


                    -
                    -
                    -
                    -

                    What you bring

                    +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    +

                    -

                    -
                      -
                    • You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                    • -
                    • Bachelor of Computer Science, Engineering or equivalent
                    • -
                    • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                    • -
                    • You have an architecture level understanding of APIs, security architecture, and cloud native development on all major cloud providers (GCP, Azure, AWS, Databricks, Snowflake)
                    • -
                    • You have strong experience and knowledge for data engineering principles and best practices and the associated technologies with it
                    • -
                    • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                    • -
                    -


                    Great-to-haves

                    -

                    -
                      -
                    • GCP Professional Data Engineering certification
                    • -
                    • Understanding of TMF standards
                    • -
                    • Experience with Databricks, Azure and AWS
                    • -
                    -

                    -

                    -
                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON-M5J-2V5/580002717/,feed-importer@jobboard.io,,,,2024-07-27T14:38:58.485Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/331196403-senior-data-engineer-at-telus,,expired,2024-06-27T11:39:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -de02b5ef-f070-4321-9d0d-803dafe30ed0,331196401,TELUS,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2024-06-27T11:39:04.548Z,"
                    -
                    -

                    Description

                    -
                    -

                    -

                    Join our team and what we\'ll accomplish together

                    -


                    The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                    -


                    We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                    -


                    Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                    -


                    You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                    -


                    As a Senior Machine Learning Engineer on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                    -


                    What you’ll do

                    +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    +

                    +
                    #LI-Remote
                    +
                    ",,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-01-03T17:56:18.227Z,False,0,5,286,https://talenthub.vectorinstitute.ai/jobs/292677747-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a,expired,2023-12-03T16:30:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +64eb8967-a127-4e90-a52b-d94c54159ef3,296397789,RBC,"Senior Director, Avion Reporting and Analytics",on_site,"Toronto, ON, Canada",2023-12-21T06:29:01.912Z,"
                    +

                    Job Summary

                    +

                    +

                    +

                    Job Description

                    +

                    +

                    What is the opportunity?

                    +

                    The Senior Director of Avion Rewards Product and Partner Reporting and Analytics will be responsible for leading the teams who support Avion Rewards products with action-oriented analytics. This role will report to the Vice President of Avion Rewards Shopping with accountability to the VP of Avion Rewards Consumer Loyalty and the VP of Enterprise Partnerships, and will be accountable for the following mandates:
                    1) Guide and support a high performing team of analysts to evolve and automate the insights they provide the 3 major business areas of Avion (Partners, Consumer Loyalty & Rewards, and Shopping & Offer) and its digital surfaces
                    2) Mature the metadata, data lineage, and automation of reporting to enable product owners and partner executives across the business to make smart, meaningful changes to our features and content on a frequent basis
                    3) Continue to mature our reporting and analysis environment and approaches to build a “bottoms-up” roll-up view of the business and visualize how we are performing across the three key areas

                    +

                    To be successful in this role you need to be highly collaborative and customer-focused while also driving to a best-in-market approach for product analysis. This is a fast-paced and matrixed environment, meaning context switching is an incredibly important component as the team supports 3 very different business areas. The data environment for loyalty programs is complex, spanning banking products, CRM tools, merchant data, offers platforms, and more; being a system-level thinker, helping the teams stitch together meaningful views that enable great business decisions, and simplifying the complex will all be critical skills in this role.

                    +

                    +

                    +

                    What will you do?

                    +
                      +
                    • Lead the Avion product analytics maturation journey and oversee the team’s performance

                    • +
                    • Work closely with the Avion Rewards Product teams to understand reporting and analysis needs and guide your teams on the best way to support those needs.

                    • +
                    • Set the strategy for how we automate and push analytical insights “to the edge” and put them in the hands of the product teams.

                    • +
                    • Be a pioneering leader to continue Avion’s transition into a data-driven organization for all the business decisions we make.

                    • +
                    • Help the team synthesize and simplify the complexities of our loyalty business.

                    • +
                    • Hire, inspire and coach product analysts to create impact and grow their careers.

                    • +
                    +

                    +

                    +

                    What do you need to succeed?

                    +

                    Must have:

                    +
                      +
                    • 10-15 years of data and product analysis experience.

                    • +
                    • Extensive experience with modern data, analytical, and visualization tools (e.g., Tableau, Snowflake, SQL, etc.).

                    • +
                    • Experience in retail e-commerce platforms and/or loyalty platforms.

                    • +
                    • Proven growth mindset.

                    • +
                    • Excellent communication skills with both highly technical and business individuals.

                    • +
                    • A knack for taking a business outcome and distilling it into a series of analytical insights to reach the right conclusion.

                    • +
                    • Ability to listen and engage stakeholders and effectively align others around a common goal.

                    • +
                    • Prior experience leading high-performing analytical teams.

                    • +
                    • Natural curiosity and a truth-seeking mindset.

                    • +
                    +

                    +

                    Nice to have:

                    +
                    • Prior experience in P&L oversight and/or B2B analysis and reporting

                    +

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • Ability to make a difference and lasting impact

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Opportunities to do challenging work

                    • +
                    +

                    +

                    +

                    Job Skills

                    Analytical Thinking, Business Acumen, Decision Making, Long Term Planning, Problem Solving, Product Services

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-12-18

                    Application Deadline:

                    2024-01-03

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000074375/Senior-Director-Avion-Reporting-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-01-04T06:34:01.859Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/296397789-senior-director-avion-reporting-and-analytics-at-rbc,,expired,2023-12-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +6a5b02c9-3161-4564-a547-f726d7fd4268,294250247,NVIDIA,Senior Solutions Architect - AI,full,Canada,2023-12-11T19:17:17.769Z,"

                    Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to help customers solve challenging problems using AI. Solutions Architects are the primary technical contacts for our customers and engage deeply with application developers and scientific researchers. We need individuals who can develop positive relationships with customers, learn their requirements, and work to bring solutions that enable their success.

                    +

                    Your primary responsibility will be to become a trusted technical advisor to our customers in Canada. You should be comfortable working in a dynamic environment, communicating with a broad range of customers from research organizations to enterprise customers, and have experience with (or the ability to learn about) NVIDIA’s solutions in areas such as Generative AI, LLMs, and high performance computing. We are laser-focused on helping customers adopt our platform, and you’ll need to be knowledgeable about a broad array of NVIDIA platforms. We expect you to work closely with the entire customer team, including sales, program management, and business development.

                    +

                    +

                    What you’ll be doing:

                    +
                      +
                    • Engage with customers to develop a keen understanding of their goals, strategies, and technical needs – and help to define and deliver high-value solutions that meet these needs.
                    • +
                    • Develop and demonstrate solutions using NVIDIA’s platforms including state-of-the-art ML/DL, data science, and HPC.
                    • +
                    • Stay current with the state of the art in AI and scientific computing ecosystems.
                    • +
                    • Provide customer requirements to engineering to foster product and platform improvements.
                    • +
                    • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
                    • +
                    • Some travel to customers and conferences may be required.
                    • +
                    +

                    +

                    What we need to see:

                    +
                      +
                    • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
                    • +
                    • 5+ years of hands-on experience, primarily with machine learning and deep learning software architecture and frameworks.
                    • +
                    • Strong analytical and problem-solving skills and the ability to learn new technologies quickly.
                    • +
                    • Strong written and oral communications skills, independent and able to multitask effectively with minimal day-to-day direction.
                    • +
                    +

                    +

                    Ways to stand out from the crowd:

                    +
                      +
                    • Excellent knowledge of theory and practice of Generative AI and Large Language Models.
                    • +
                    • Experience with NVIDIA GPUs and software libraries, working with the engineering or research community.
                    • +
                    • Proven experience as a sales engineer/solutions architect.
                    • +
                    +

                    +

                    NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

                    +

                    +

                    The base salary range is 116,250 CAD - 234,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

                    +

                    You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Solutions-Architect---AI_JR1974617,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-01-04T19:53:00.000Z,False,0,5,256,https://talenthub.vectorinstitute.ai/jobs/294250247-senior-solutions-architect-ai-at-nvidia,,expired,2023-12-11T19:17:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, +78733230-6470-4b21-95de-5313b989cdfb,298580628,Vector Institute,Associate Applied Machine Learning Specialist (9 month Contract),on_site,"Ontario, Canada",2024-01-03T06:42:02.901Z,"
                    +

                    Associate Applied ML Specialist

                    +

                    POSITION OVERVIEW

                    +

                    As an Associate ML Specialist, you will develop reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of Vector’s best and brightest ML engineers and data scientists, and leading industry and health organizations. In addition, you will collaborate with some of the best and brightest machine learning researchers.

                    +

                    RESPONSIBILITIES

                      -
                    • Lead the iterative development, validation, and deployment of AI/ML models
                    • -
                    • Collaborate on end-to-end automation efforts required to bring models to production
                    • -
                    • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                    • -
                    • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                    • -
                    • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                    • -
                    • Develop re-usable code aimed at delivering on future goals faster and more reliably
                    • -
                    • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                    • -
                    • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                    • +
                    • Deliver software and models for AI development projects following an agile methodology with teams that can include Vector Applied ML specialists, Applied ML scientists, professional staff, researchers, and industry sponsors.
                    • +
                    • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models
                    • +
                    • Design, develop, and contribute to open-source software that applies AI research techniques to common problems.
                    • +
                    • Mentor industry sponsor engineers and researchers on industry collaboration projects that apply AI research to shared problems, mentor engineering best practices, and assist with operational issues
                    • +
                    • Develop prototypes and proofs of concept
                    • +
                    • Report and present software development outcomes for team efforts, including demos, status, and results

                    +

                    SUCCESS MEASURES

                    +
                      +
                    • Timely development and delivery of high quality software and AI models in support of internal and external development stakeholders.
                    • +
                    • Effective AI knowledge-transfer to internal and external stakeholders through clear communication of software and AI model development progress, demos and results presentations.
                    • +
                    • Active and constructive participation in diverse and interdisciplinary teams, contributing to a positive team environment.
                    • +
                    +

                    +

                    PROFILE OF THE IDEAL CANDIDATE

                    +
                      +
                    • Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline;
                    • +
                    • Experience applying machine learning research to novel problems and data sets
                    • +
                    • Demonstrated experience in machine learning and statistics
                    • +
                    • Demonstrated data engineering background working with messy real-world data
                    • +
                    • Demonstrated analytical skills to identify signals in data and feasibility of prediction
                    • +
                    • Knowledge and understanding of Python and preferably C/C++ and C#
                    • +
                    • Software engineering background with experience in production deployment is preferred
                    • +
                    • Experience working on teams that land high-quality software successfully in production is preferred
                    • +
                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                    • +
                    • Experience in leading open-source deep learning software frameworks (PyTorch, Tensorflow, JAX, and CUDA) is preferred
                    • +
                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                    • +

                    +

                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                    +


                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                    -
                    -
                    -

                    Qualifications

                    -
                    +
                    ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=476496&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-01-08T20:41:00.000Z,False,0,12,29,https://talenthub.vectorinstitute.ai/jobs/298580628-associate-applied-machine-learning-specialist-9-month-contract-at-vector-institute,,expired,2024-01-03T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +363c8b76-9997-4c7e-8503-c618742a6fe4,296508146,Scotiabank,"Manager, Forecasting Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.877Z,"

                    -

                    What you bring

                    -
                      -
                    • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                    • -
                    • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ years of hands-on work and practical business experience in the above areas
                    • -
                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                    • -
                    • You have advanced experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                    • -
                    • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                    • -
                    • You possess strong knowledge in SQL and distributed computing
                    • -
                    • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                    • -
                    • You are well versed in software and AI development lifecycles, including ML Ops
                    • -
                    • You are agile and have a bias for action, removing roadblocks to get results fast
                    • -

                    -

                    Great-to-haves

                    +

                    Requisition ID: 190467

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -
                      -
                    • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                    • -
                    • Experience with agile methodology and work in a start-up environment
                    • -
                    • GCP or other cloud certifications
                    • +

                      Overview:
                      The world is changing faster than ever and so are we!

                      +

                      +

                      “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                      +

                      +

                      Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                      +

                      +

                      What Are We Looking For?
                      We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                      +

                      +

                      To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                      +

                      +

                      We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                      +


                      Make an Impact
                      As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the regulatory capital (AIRB) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

                      +

                      +

                      You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                      +

                      Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                      +

                      +

                      Is This Role Right for You?

                      +
                      • You believe, first and foremost, in always doing the right thing and doing things the right way
                      • You are both deeply curious and highly pragmatic
                      • You are comfortable with ambitious but realistic goals and are committed to achieving them
                      • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be more, or less technical than you)
                      • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                      • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                      • You understand what PDs, LGDs, EADs & RWA really are, from the ground up, and can model them precisely for any product
                      • You have a genuine love, passion and talent for programming, data, and predictive modeling
                      • You are committed to quality in everything you do – statistically, process and governance wise
                      • You look forward to sharing your insights through high-quality verbal & written communications
                      • You are professional, motivated AND FUN. We mean it.
                      +

                      +

                      Sample projects that you might work on include:

                      +
                      • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                      • Prepare attribution and/or stock-flow analysis of product portfolios
                      • Collaborate with risk management, vendors, technology and compliance + audit to ensure effective governance, measurement & communication of model performance
                      • Accurately estimate impacts and implement the models developed, recalibrated and maintained in production platforms
                      • Identify, promote and lead process improvements for model development and monitoring
                      • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                      • +
                      +

                      +

                      What Do You Need to Succeed?
                      General

                      +
                      • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                      • A demonstrated history of analytic problem solving and sound judgment
                      • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                      • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                      • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                      • +
                      +

                      +

                      Technical

                      +
                      • Strong fundamental understanding of statistics
                      • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                      • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                      • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                      • Knowledge about credit risk models / scorecards
                      • +
                      +

                      +

                      Nice to Have’s

                      +
                      • Proficient reading, writing and speaking Spanish
                      • Experience with credit risk forecasting and/or financial reporting frameworks
                      • Experience developing credit risk models / scorecards
                      • Experience working within loss forecasting, AIRB or IFRS9 frameworks
                      • Domain expertise with any retail & small business banking products and/or risk management practices
                      • FRM, CFA credentials
                      • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                      • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                      • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                      • +
                      +

                      +

                      What’s in It for You?

                      +
                      • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                      • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                      • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                      • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                      • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                      • +
                      +

                      -

                      -
                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineer-ON/579889617/,feed-importer@jobboard.io,,,,2024-07-27T14:37:09.269Z,False,0,11,34,https://talenthub.vectorinstitute.ai/jobs/331196401-senior-machine-learning-engineer-at-telus,,expired,2024-06-27T11:39:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -47668381-17e7-49df-9150-0d33836de8bb,331244342,Cohere AI,"Member of Technical Staff, Model Efficiency",on_site,"Toronto, ON, Canada",2024-06-27T16:41:02.642Z,"
                    -
                    Who are we?
                    -
                    Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                    -

                    -
                    We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                    -

                    -
                    Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                    -

                    -
                    Join us on our mission and shape the future!
                    -

                    -
                    Why this role?
                    -

                    -
                    Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The model efficiency team is responsible for increasing the inference efficiency of our foundation models by improving model architecture and optimizing ML frameworks.
                    -

                    -
                    As an engineer on this team, you’ll work on improving the key model serving metrics including latency and throughput by profiling the system, identifying bottlenecks, and solving problems with innovative solutions.
                    -

                    -
                    -Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. -
                    -

                    -
                    -
                    -

                    You may be a good fit for the Model Efficiency team if you have:

                    -
                        -
                      • Significant experience in developing high-performance machine learning algorithms or machine learning infrastructure
                      • -
                      • Hands-on experience with large language models
                      • -
                      • Bias for actions and results
                      • -
                      • An appetite to solve challenging machine learning research problems
                      • -
                    -
                    -
                    -

                    It is a big plus if you also have considerable experience with one of these areas:

                    -
                        -
                      • Model compression techniques: quantization, pruning, sparsity, low-rank compression, knowledge distillation, etc.
                      • -
                      • GPU/Accelerator programming or high-performance computing
                      • -
                      • LLM Inference performance modeling
                      • -
                      • Machine learning framework internals
                      • -
                    -
                    -
                    -
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                    -

                    -
                    -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                    -

                    -
                    Our Perks:
                    -
                    🤝 An open and inclusive culture and work environment
                    -
                    🧑‍💻 Work closely with a team on the cutting edge of AI research
                    -
                    🍽 Weekly lunch stipend, in-office lunches & snacks
                    -
                    🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                    -
                    🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                    -
                    🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                    -
                    🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                    -
                    ✈️ 6 weeks of vacation
                    -

                    -
                    Note: This post is co-authored by both Cohere humans and Cohere technology.
                    -
                    ",,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,feed-importer@jobboard.io,,,,2024-07-27T19:35:50.762Z,False,0,7,50,https://talenthub.vectorinstitute.ai/jobs/331244342-member-of-technical-staff-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,expired,2024-06-27T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, -990f36d4-03c5-490c-a1d4-b22040a9a99c,331326300,KPMG,"Manager, Information Management and Data & Analytics",on_site,"Vancouver, BC, Canada",2024-06-27T19:57:50.448Z,"

                    Overview

                    -

                    At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                    -

                    Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-ON-M5H1H1/576704017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-08T16:31:06.342Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/296508146-manager-forecasting-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-&-Small-Business-ON-M5H1H1/576704017/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +23d707fe-c240-4be5-bc37-1524020429a2,315475196,RBC,"Analyst, Institutional Client Credit Management, Portfolio Management and Analytics",on_site,"Toronto, ON, Canada",2024-04-01T06:29:01.680Z,"
                    +

                    Job Summary

                    +

                    +

                    +

                    Job Description

                    -

                    We help organizations to become data driven! Will you collaborate with us?
                    Data is the new gold. However, data only has value through strong and reliable data analysis, clear interpretation and good data management. We help our clients in those areas to realize growth, improve performance and to manage risks.

                    +

                    What is the opportunity?

                    +

                    You will play a key role in the risk assessment and continuous risk monitoring for RBC Capital Markets’ trading clients globally.

                    -

                    Our Team
                    As a Manager in Data Management, you will be a part of our Technology Consulting (Information Management and Data & Analytics) practice within KPMG. This is a worldwide network of professionals who collaborate on a daily basis to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics!

                    -


                    What you will do

                    +

                    What you will do

                      -
                    • Creating and presenting data strategies, roadmaps and data operating models
                    • -
                    • Leading the assessment and improvement of our clients’ data quality
                    • -
                    • Implementing data management capabilities with our clients, so that (cloud) ERP systems perform flawlessly
                    • -
                    • Managing data migrations by providing leading practices, relevant experience with specific (cloud) ERP systems
                    • -
                    • Leading the deployment and adoption of modern data platforms in our client’s business and technology ecosystems
                    • -
                    • Securing ‘trusted’ analytics, by creating transparent and well governed (advanced) analytics processes, data platforms and data lakes
                    • -
                    • Advising on digital solutions for Document and Content Management
                    • -
                    • Developing and utilizing technical and industry knowledge to resolve complex client challenges and consult on leading practice solutions
                    • -
                    • Planning and executing day-to-day activities of advisory engagements for a variety of clients including data strategy and roadmap development, business process analysis, current state assessment and future state process design, data and business case analysis and tailoring recommendations specific to client’s use cases and needs
                    • -
                    • Lead business development by presenting thought leadership directly to clients, at industry conferences and leading the development of winning proposals (approach development, effort estimation, collaboration with peers) and negotiation of contracts with clients
                    • +
                    • Understand and assess risks inherent in (i) the asset management industry and its regulation, (ii) the sponsors and the markets they operate in, (iii) trading products and (iv) investment strategies.

                    • +
                    • Net Asset Value monitoring and other risk metrics.

                    • +
                    • Undertake annual reviews on a timely basis to remain compliant with deadlines.

                    • +
                    • Preparation and recommendation of internal risk ratings.

                    • +
                    • Other primary responsibilities that may arise from time to time in support of risk assessment and continuous monitoring.

                    -

                    You will have the opportunity to be part of our growing Data Management practice, in Canada and globally. Based on our success, you will learn from our Advanced Data Management methodology, training and access to KPMG’s Global Center of Excellence – you can be a part of it!

                    -


                    What you bring to the role

                    +

                    What will you need to succeed?

                      -
                    • A completed MBA or Bachelor’s degree in Management Information Systems, Computer Science, Business Administration or Data Science
                    • -
                    • Preferably a number of years (5+) of experience as a Senior Consultant or Manager in a consulting environment or having worked on realizing data management solutions within your organization
                    • -
                    • Superior communication skills, both written and verbal, with the ability to communicate strategic solutions to client stakeholders at director and operational levels
                    • -
                    • You are enthusiastic about complex projects and you are a problem solver
                    • -
                    • You bring insights and methods for data quality analysis, transformation, mapping and cleansing
                    • -
                    • You are a team player and look forward to the challenge to actively collaborate on the dynamic growth of Data Management within KPMG by working on asset development and innovation
                    • -
                    • Knowledge of and experience applying governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM is an asset
                    • -
                    • Knowledge of and experience deploying cloud based data management platforms would be an asset, for example from Informatica, Collibra, Microsoft, IGC, Snowflake.
                    • -
                    • Industry-recognized designations/certifications would be an asset, including PMP, TOGAF, ITIL, Azure Cloud Solution Architecture, CDMP
                    • -
                    • Must be able to travel locally and internationally based on client and project requirements
                    • +
                    • Honours, B.A. or B. Comm or equivalent.

                    • +
                    • 1 - 2 years prior relevant work experience

                    • +
                    • Understanding and knowledge of fund industry, securities regulations governing funds and of trading credit risk.

                    • +
                    • Familiarity and basic understanding of trading products including FX, swaps and securities finance.

                    • +
                    • Advanced data and computer management skills including proficiency with Excel.

                    • +
                    • Ability to establish priorities and manage tasks with accompanying attention to detail.

                    • +
                    • Ability to interpret, explain and communicate opinions and recommendations using strong verbal and written skills.

                    -

                    KPMG BC Region Pay Range Information

                    -

                    The expected base salary range for this position is $98,000 to $127,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

                    -

                    Providing you with the support you need to be at your best

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.

                    • +
                    • Opportunities to do challenging work.

                    • +
                    • Work in a dynamic, collaborative, progressive and high-performing team.

                    • +
                    • Opportunity to work with and gain exposure to Sales and Trading professionals, relationship managers, Group Risk Management, and a number of other internal teams.

                    • +
                    • Opportunities to take on progressively greater accountabilities.

                    • +
                    +

                    +

                    +

                    Job Skills

                    Adaptability, Critical Thinking, Customer Service, Detail-Oriented, Financial Engineering, Financial Statement Analysis, Investments Analysis, Personal Development, Taking Initiative, Teamwork

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    ROYAL BANK PLAZA, 200 BAY ST:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Capital Markets

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-03-28

                    Application Deadline:

                    2024-04-11

                    -

                    -

                    -
                    -

                    -

                    -

                    For more information about KPMG in Canada’s Benefits and well-being, click here.

                    -


                    Our Values, The KPMG Way

                    -

                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                    -

                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                    -

                    Adjustments and accommodations throughout the recruitment process

                    -

                    At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                    -

                    To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                    -

                    For information about accessible employment at KPMG, please visit our accessibility page.

                    ",,https://careers.kpmg.ca/professionals/jobs/23763?lang=en-us,aitalent@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2024-07-27T19:57:52.746Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/331326300-manager-information-management-and-data-analytics-at-kpmg,,expired,2024-06-27T19:57:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -1678731b-bc24-49e2-8d01-c71d44251311,333304347,Canadian Tire,"Data Analytics, Center of Excellence, Associate Vice President Internal Audit",on_site,"Toronto, ON, Canada",2024-07-09T19:54:17.314Z,"

                    What will you do:

                    -

                    We are seeking a highly skilled and motivated individual for the position of Internal Audit Associate Vice President at our organization. In this role, you will be responsible for managing our Center of Excellence (COE) while driving advancements in data analytics and artificial intelligence within our internal audit function.

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000083618/Analyst-Institutional-Client-Credit-Management-Portfolio-Management-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-11T21:57:00.000Z,False,0,1,59,https://talenthub.vectorinstitute.ai/jobs/315475196-analyst-institutional-client-credit-management-portfolio-management-and-analytics-at-rbc,,expired,2024-04-01T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f7b87575-127a-4f29-86a7-cbbb8ba19a0f,316500615,Shopify Inc.,"Staff Data Engineer, Embedded",full,Canada,2024-04-05T20:40:14.298Z,"

                    About Shopify

                    +

                    Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                    +

                    This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                    +

                    +

                    About you

                    +

                    Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                    +

                    Before you apply, consider if you can:

                      -
                    • Lead and oversee the Center of Excellence (COE), ensuring efficient operations and strategic alignment with the organization's goals.
                    • -
                    • Develop and execute a comprehensive strategy to advance data analytics and artificial intelligence capabilities within the internal audit function to assess and monitor risks.
                    • -
                    • Collaborate with cross-functional teams to identify opportunities for process improvement, risk mitigation, and cost optimization through the utilization of data analytics and AI technologies.
                    • -
                    • Provide guidance and mentorship to a team of talented professionals, fostering their growth and ensuring their expertise aligns with emerging industry trends.
                    • -
                    • Drive the implementation of advanced data analytics methodologies, tools, and techniques to enhance audit effectiveness, efficiency, and quality.
                    • -
                    • Establish strong partnerships with stakeholders across the organization, including senior leadership, IT teams, and business unit heads, to ensure effective collaboration and alignment of objectives.
                    • -
                    • Stay up-to-date with industry best practices, regulatory changes, and technological advancements related to data analytics and AI in order to drive continuous improvement within the internal audit function.
                    • +
                    • Care deeply about what you do and about making commerce better for everyone
                    • +
                    • Excel by seeking professional and personal hypergrowth
                    • +
                    • Keep up with an unrelenting pace (the week, not the quarter)
                    • +
                    • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                    • +
                    • Bring critical thought and opinion
                    • +
                    • Embrace differences and disagreement to get shit done and move forward
                    • +
                    • Work digital-first for your daily work

                    -

                    What do you bring:

                    +

                    About the role

                    +

                    Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

                    +

                    As a Data Engineer at Shopify, your primary responsibility will be to contribute to Shopify’s Data Warehouse. Your work will unlock powerful insights to guide the development and improvement of Shopify’s products.

                    +

                    As a central Data Engineer, you will sit amongst a team of Data Engineers focused on defining and upleveling the craft and product of Data Engineering across all of Shopify. Your impact is seen at scale when you ship high quality data assets to Shopify’s Data Warehouse, which get used by thousands of people to perform product analysis, make decisions to support our merchants, and steer strategic decisions of the business. You also achieve with others as you partner with Data Engineers embedded in product teams to share and gather standards and best practices, and perform data architecture duties to uplevel and maintain the high quality of Data Engineering at Shopify.

                    +

                    Example day to day responsibilities include:

                      -
                    • Post-secondary education in Statistics, Mathematics, Computer Science, Engineering, or other advanced degree preferred.
                    • -
                    • Strong understanding of data analytics concepts and proficiency in one or more of the following: SQL, Python, R, Scala, C/C#/C++ and/or Java, Tableau, Hadoop ecosystem, and emerging technologies (e.g., machine learning).
                    • -
                    • Extensive experience (8+ years) in internal audit or related fields with a focus on data analytics or AI and working with/analyzing large data both structured and unstructured data.
                    • -
                    • Proven track record of successfully managing a team and driving strategic initiatives within an internal audit function or related domain.
                    • -
                    • Familiarity with auditing standards (e.g., COSO), risk management frameworks (e.g., ISO 31000), and regulatory requirements (e.g., SOX).
                    • -
                    • Excellent communication skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
                    • -
                    • Strong analytical mindset with the ability to think critically and solve problems using data-driven approaches.
                    • -
                    • Demonstrated leadership skills with the ability to influence others, build relationships, and drive change in a collaborative manner.
                    • +
                    • Partnering as a member of the Analytics Engineering founding team to influence and create this greenfield space at Shopify
                    • +
                    • Working with business partners to understand requirements
                    • +
                    • Working with developers to understand and influence how data is produced
                    • +
                    • Collaborating with data engineers on tooling for automated tasks around consuming, validating raw/modeled data, updating modeled data
                    • +
                    • Designing, building, profiling, and documenting our datasets and the jobs that build them
                    • +
                    • Profiling raw data sets
                    • +
                    • Writing data transformations using dbt or Spark
                    • +
                    • Shipping data pipelines including real-time streaming and batch processing
                    • +
                    • Optimizing data transformation pipelines to increase freshness or reduce computational time/cost
                    • +
                    • Controlling data quality
                    • +
                    • Debating whether leading or trailing commas are better
                    • +
                    • Fixing jobs that are broken in production (wrong data types returned, granularity not as expected, resourcing issues)
                    • +
                    • Creating and implementing architecture and standards for analytics and data engineers
                    • +
                    • Collaborate with sister disciplines (Engineering, Data Science) to establish best practices

                    -

                    Hybrid

                    -

                    At Canadian Tire we work flexibility embracing ‘Hybrid’ whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes. Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs. Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone.

                    +

                    Qualifications

                    +
                      +
                    • Commercial experience in Data Engineering, and/or Analytics Engineering, ​​​​​​building scalable data warehouses
                    • +
                    • Dimensional Modeling (Star Schema, Kimball, Inmon)
                    • +
                    • Advanced SQL skills (ease with window functions, defining UDFs)
                    • +
                    • Exposure to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers
                    • +
                    • Hands-on experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements
                    • +
                    • Fantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams
                    • +
                    • Technical thought leader, comfortable navigating ambiguity and mentoring various level of team members
                    • +
                    • Fluent in data architecture and modeling concepts, able to coach and influence others to uplevel the craft of Data Engineering
                    • +

                    -

                    #LI-FM1

                    +

                    All your information will be kept confidential according to EEO guidelines.

                    +

                    ",,https://www.shopify.com/careers/staff-data-engineer--embedded-_64be6353-255a-4322-b65f-f40f112c686b,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-11T21:59:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/316500615-staff-data-engineer-embedded-at-shopify-inc,,expired,2024-04-05T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, +605dab15-7429-4e58-823e-6cecaf3e883a,314922649,RBC,"Manager, AML Data Management",on_site,"Toronto, ON, Canada",2024-03-28T06:29:01.769Z,"
                    +

                    Job Summary

                    +

                    +

                    +

                    Job Description

                    +

                    WHAT IS THE OPPORTUNITY?

                    +

                    The AML Data Management team is mandated to execute the Enterprise AML and Financial Crimes Data Management Program that will govern data used within the enterprise to meet regulatory requirements and expectations, while accommodating RBC’s innovation framework. You will contribute to sustaining and enhancing the oversight and governance of data used within key processes of the AML and Financial Crimes (such as sanctions screening and transaction monitoring). You will have an opportunity to liaise with AML Compliance, AML FIU, the Chief Data Office, DNA, and other business partners to execute data management strategies and protocols to maintain and enhance an effective and efficient AML and Financial Crimes Program at RBC.

                    -

                    About Us

                    -

                    Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                    +

                    WHAT WILL YOU DO?

                    +
                      +
                    • Analyze large data sets in conjunction with data dictionaries, system documentation, and end user documentation to understand business context and translate into data requirements from an enterprise AML Program perspective

                    • +
                    • Perform data profiling and analysis of data sources to assess data availability and ensure AML data requirements are continually satisfied

                    • +
                    • Perform comprehensive data analysis to measure data quality in accordance with the CDO data quality strategy. Define data quality rules and scorecards for ongoing monitoring and measurement of data quality, particularly from an AML Program perspective

                    • +
                    • Evaluate data quality measurements and scorecards to identify data quality issues that may impact the effectiveness of the AML Program. Leverage enterprise data governance tools to document detailed data lineage and data transformations through liaison between business stakeholders and IT partners

                    • +
                    • Perform post implementation verification to ensure AML data requirements from data sources have been accurately and successfully captured in target data models/schemas

                    • +
                    • Assist with the development of high level plans and user stories for completion of AML data requirements and acceptance phases of projects, improving in the level of detail and accuracy of estimates over time

                    • +

                    -

                    Our Commitment to Diversity, Inclusion and Belonging

                    -

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    +

                    WHAT DO YOU NEED TO SUCCEED?

                    +

                    Must have

                    +
                      +
                    • Undergraduate degree coupled with change management experience in complex programs with high frequency of requests and multiple priorities

                    • +
                    • 5+ years of technical experience using SQL to interface with various databases, data sources, and file systems (RBDMS, OLTP/OLAP, flat files, UNIX, HDFS)

                    • +
                    • Understanding of data governance and data quality concepts and processes such as Data Quality Controls, Authoritative Data Sources, Master and Reference Data, etc.

                    • +
                    • Proficient with SAS programming and its macro language to perform quantitative data analysis and transformations. Other expertise with R, Hadoop, VBA, Java and C++ or other related experience desirable

                    • +
                    • Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously

                    • +

                    -

                    Accommodations

                    -

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/Enterprise_External_Careers_Site/job/Toronto-ON/Data-Analytics--Center-of-Excellence--Associate-Vice-President-Internal-Audit_JR136264,aitalent@vectorinstitute.ai,,,,2024-07-25T17:57:00.000Z,True,0,8,91,https://talenthub.vectorinstitute.ai/jobs/333304347-data-analytics-center-of-excellence-associate-vice-president-internal-audit-at-canadian-tire,,expired,2024-07-09T19:54:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +

                    Nice-to-have

                    +
                      +
                    • Knowledge of reconciliation design, data integration, data sourcing, data quality reporting, and exception resolution processes. As well as knowledge of data warehousing, front-to-back data flows and processing in banking database systems

                    • +
                    • Ability to facilitate between and influence key decision makers

                    • +
                    • Strategic thinker with excellent interpersonal skills to work across functions and businesses

                    • +
                    • Certified Anti-Money Laundering Specialist (CAMS) designation or other related certifications

                    • +
                    +

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                    • +
                    • Leaders who support your development through coaching and managing opportunities

                    • +
                    • Ability to make a difference and lasting impact

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Opportunities to do challenging work

                    • +
                    • Opportunities to take on progressively greater accountabilities

                    • +
                    • Flexible work/life balance options

                    • +
                    +

                    +

                    +

                    #LI-hybrid

                    +

                    #LI-POST

                    +

                    #TechPJ

                    +

                    +

                    +

                    Job Skills

                    Critical Thinking, Critical Thinking, Data Administration, Database Integrity, Database Structures, Data Classification, Data Compilation, Data Documentation, Data Explorations, Data Flows, Data Governance, Data Lineage, Data Management, Data Manipulation, Data Mapping, Data Modeling, Data Movement, Data Profiling, Data Quality, Data Transformation, Data Warehousing (DW), Detail-Oriented, Enterprise Data, Group Problem Solving, Information Capture {+ 5 more}

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    20 KING ST W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    GROUP RISK MANAGEMENT

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-03-25

                    Application Deadline:

                    2024-05-09

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000081557/Manager-AML-Data-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-09T18:05:00.000Z,False,0,4,73,https://talenthub.vectorinstitute.ai/jobs/314922649-manager-aml-data-management-at-rbc,,expired,2024-03-28T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, c951a331-5f27-4967-a7a0-0719c0c3670a,316347387,Thomson Reuters,Research Engineer,hybrid,"Toronto, ON, Canada",2024-04-04T19:19:16.728Z,"

                    Research Engineer

                    Do you love creating innovative solutions for customers?

                    @@ -38102,9 +38069,62 @@ afa45bbc-899c-43a6-9bde-d6d99347b23a,342351743,BMO Financial Group,"Associate Di

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst_R240022338?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-30T08:23:02.230Z,False,0,5,11,https://talenthub.vectorinstitute.ai/jobs/343275862-senior-campaign-data-analyst-at-bmo-financial-group,,expired,2024-09-23T08:17:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -305b0fd4-e7c6-4cc9-9954-faac33d0ce8e,342405693,Statistics Canada - Data Science Division,Future Opportunities with Statistics Canada - Data Science Division,hybrid,"Ontario, Canada",2024-09-17T03:00:13.957Z,"

                    Statistics Canada is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with StatsCanada, and it will be shared with them after the event.

                    -

                    Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins.

                    -

                    About Us:
                    Statistics Canada is one of the leaders in the Government of Canada’s adoption of data science and artificial intelligence. Find out about the benefits of data science and how they are being used at Canada’s national statistical agency.

                    ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://www.statcan.gc.ca/en/data-science,,,2024-10-02T03:00:00.000Z,False,52,0,359,https://talenthub.vectorinstitute.ai/jobs/342405693-future-opportunities-with-statistics-canada-data-science-division-at-statistics-canada-data-science-division,,expired,2024-09-17T03:00:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Public Administration (i.e Gov't),Associate,Masters Degree,New Posting, +63ba105d-5fc5-49ba-981f-c07ee327c400,343277471,TELUS,Senior Strategy Manager (Data Analytics & AI),on_site,"Ontario, Canada",2024-09-23T08:58:01.956Z,"
                    +
                    +

                    Join our team and what we\'ll accomplish together

                    +
                    +

                    +

                    TELUS is on a mission to revolutionize organization outcomes through insights, data and AI. Our Data Strategy & Enablement team, in the Chief Information Office, is at the forefront of this transformation. We\'re a high-octane team of innovators, building the foundations and capabilities for a data-driven future

                    +


                    We are on a continuous journey for driving TELUS into a world-class leader in data driven organization, doing so by delivering analytics capabilities, unified scalable platforms, advanced AI tooling and a digital growth mindset culture. We are entrepreneurial, fun and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment.

                    +


                    Are you a strategic thinker with a passion for AI and technology? We\'re seeking a Senior Strategy Manager to join our team and help shape and drive TELUS\' AI journey. This is a fast-paced, high-impact and visibility role for a self-starter who thrives in a dynamic environment and will work alongside brilliant minds and teams to develop and execute a data and AI strategy that drives unparalleled value for our customers.

                    +


                    As a senior member of the team, you will play a key part in developing and driving data and AI maturity across TELUS. Using your passion for technology, communications and creativity, you will drive the awareness of multiple transformation efforts and promote the vision and behaviors to accelerate our transformation, translating technical lingo and complex ideas into engaging, easy to understand content decision makers. Along the way, there will be a ton of opportunities for both personal and professional development while developing long-lasting relationships within the TELUS family.

                    +
                    +
                    +
                    +

                    What you will do

                    +
                    +

                    +
                      +
                    • Support the acceleration of data and AI strategy across the enterprise to enable the organization in meeting its strategic and financial objectives
                    • +
                    • Collaborate with business units across TELUS to drive education, outreach, and adoption of responsible AI, analytics, and GenAI, fostering AI maturity and awareness
                    • +
                    • Lead annual strategy exercise and business planning with executive and C-suite leadership including material creation (business cases, executive presentations) and coordination across teams and units
                    • +
                    • Evaluate AI capabilities from a product centric lens for re-usability and scalability by connecting the dots among initiatives across products and business units
                    • +
                    • Demonstrate strong understanding of technology, data science and AI landscape with the ability to drive points of views, strategic thinking and impact across products and business units
                    • +
                    • Collaborate closely with teams, leaders and business partners to develop, articulate and align the strategic roadmap
                    • +
                    • Lead storytelling in executive leadership forums with presentations, articles and communications to provide visibility and drive decision making
                    • +
                    +

                    +

                    +
                    +
                    +
                    +

                    What you bring

                    +
                    +

                    +
                      +
                    • Maturity in identifying and driving strategic initiatives, anticipating interdependencies and impacts up and down streams
                    • +
                    • Infectious positive and collaborative attitude while working across cross functional teams even in in stressful or pressured situations
                    • +
                    • A proven track record of independently driving complex projects from inception to completion in a fast-paced environment, delivering results under tight deadlines
                    • +
                    • Passion for technology and AI with agility in your way of thinking and working
                    • +
                    • Exceptional communication skills, compelling storytelling and presentations skills to executive audiences
                    • +
                    • Strong financial modeling and business planning skills
                    • +
                    • Flexibility, accountability and openness to feedback with the ability to pivot rapidl
                    • +
                    +

                    +

                    Great-to-haves

                    +

                    +
                      +
                    • University degree in Business, Information Technology Management or Engineering; Masters degree desirable
                    • +
                    • 5-7 years of experience in a Management Consulting or Corporate Strategy with a large organization
                    • +
                    • 3-5 years of experience working in Technology in a high paced environment with senior leadership
                    • +
                    • Experience in developing and implementing data and AI strategies is highly desired
                    • +
                    • Experience defining and implementing new operating models, change management and standing up transformation efforts
                    • +
                    +

                    +

                    +
                    +
                    +
                    ",,https://careers.telus.com/job/Toronto-Senior-Strategy-Manager-%28Data-Analytics-&-AI%29-ON/583238717/,feed-importer@jobboard.io,,,,2024-09-30T09:03:03.824Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/343277471-senior-strategy-manager-data-analytics-ai-at-telus,,expired,2024-09-23T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, 49489b3f-be00-497f-8f5e-bdd69016da51,339831467,Ada,"Senior Software Engineer, Voice",on_site,"Ontario, Canada",2024-08-29T16:18:03.365Z,"
                    @@ -38199,41 +38219,9 @@ a90007ed-dd7a-4fbd-830b-f2248f0a3f59,339831468,Roche,RWD Analytics Engineer,on_s

                    Roche is an Equal Opportunity Employer.

                    ",,https://careers.roche.com/global/en/job/202405-111611/RWD-Analytics-Engineer,feed-importer@jobboard.io,,,,2024-09-28T17:57:57.264Z,False,0,3,54,https://talenthub.vectorinstitute.ai/jobs/339831468-rwd-analytics-engineer-at-roche,,expired,2024-08-29T16:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -dbb6066d-be18-4b0f-8684-4796703792bf,340349645,KPMG,Azure Lead Data Architect,on_site,"Toronto, Canada",2024-09-02T16:34:02.764Z,"Overview

                    At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                    An Azure Lead Data Architect is responsible for designing, managing, and optimizing data architecture on the Microsoft Azure Cloud platform.


                    What you will do

                      -
                    • Develop comprehensive data architectures that align with business requirements, including data models, storage solutions, data pipelines, and analytics frameworks on the Azure platform.
                    • -
                    • Design and implement cloud-based solutions for structured, semi-structured, and unstructured data.
                    • -
                    • Utilize Azure services like Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure Blob Storage, and more to build scalable and secure data solutions.
                    • -
                    • Design, develop, and maintain data integration workflows, ETL/ELT processes using Azure Data Factory or similar tools to ingest, transform, and load data from various sources.
                    • -
                    • Design and enforce data access controls, encryption, masking, and other security measures to protect sensitive data.
                    • -
                    • Collaborate with stakeholders to define data management strategies, including data retention, archiving, and backup solutions.
                    • -
                    • Work closely with data engineers, business analysts, and other stakeholders to understand data requirements and provide architectural guidance.
                    • -
                    • Communicate technical solutions effectively to non-technical stakeholders and ensure alignment with business goals.
                    • -
                    • Optimize data storage, retrieval, and processing performance to enhance the efficiency and scalability of data solutions.
                    • -
                    • Proactively identify and resolve data-related issues, ensuring high availability and reliability of data services.
                    • -
                    • Provide guidance and mentorship to junior data architects, data engineers, and other team members.
                    • -
                    • Lead architectural discussions, code reviews, documentation and design sessions to promote best practices and high-quality solutions.
                    • -
                    • Continuously evaluate and improve the data architecture and related processes, incorporating feedback, industry trends, and new technologies.
                    • -

                    What you bring to the role

                      -
                    • Strong knowledge of Microsoft Azure and cloud data services.
                    • -
                    • 7 to 10 years of experience as an Architect in data Analytics domain.
                    • -
                    • Expertise in data modeling, database design, and data warehousing.
                    • -
                    • Experience with ETL/ELT processes, data integration, and data pipeline orchestration.
                    • -
                    • Proficiency in SQL, NoSQL, Python, Spark, and other relevant technologies.
                    • -
                    • Understanding of data governance, security, and compliance requirements.
                    • -
                    • Excellent communication, problem-solving, and leadership skills.
                    • -

                    Technical skills

                      -
                    • Experience in configuring and implementing Azure Storage, Azure Data Factory, Azure Data Lake, Azure SQL Server Data Warehouse and Azure SQL Server db.
                    • -
                    • Good understanding of AZURE components, storage & compute services
                    • -
                    • Familiarity with DevOps practices and tools, such as Azure DevOps, Git, and CI/CD pipelines
                    • -
                    • Experienced in Data modelling and data architecture design.
                    • -
                    • Experience with Data testing, including ability to create test plans, test cases, execute test cycles, etc.
                    • -
                    • Experience is creating the efforts estimation, timelines for all new projects/programs
                    • -
                    • Understanding of Azure networking fundamentals, including Virtual Networks (VNets), subnets, Azure Private Link, and ExpressRoute.
                    • -
                    • Knowledge of resource provisioning, management, and scaling using Azure Resource Manager (ARM) templates or Terraform.
                    • -
                    • Stay current with the latest Azure offerings and best practices for data architecture, storage, and analytics.
                    • -
                    • Experience with data visualization tools such as Power BI for creating dashboards, reports, and analytics solutions.
                    • -
                    • Certifications: Holding relevant certifications such as Azure Solutions Architect Expert
                    • -

                    Providing you with the support you need to be at your best

                    For more information about KPMG in Canada’s Benefits and well-being, click here.


                    Our Values, The KPMG Way

                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                    Adjustments and accommodations throughout the recruitment process

                    At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                    To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                    For information about accessible employment at KPMG, please visit our accessibility page.

                    ",,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-03T16:39:46.198Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/340349645-azure-lead-data-architect-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,expired,2024-09-02T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,No Degree,New Posting, +305b0fd4-e7c6-4cc9-9954-faac33d0ce8e,342405693,Statistics Canada - Data Science Division,Future Opportunities with Statistics Canada - Data Science Division,hybrid,"Ontario, Canada",2024-09-17T03:00:13.957Z,"

                    Statistics Canada is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with StatsCanada, and it will be shared with them after the event.

                    +

                    Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins.

                    +

                    About Us:
                    Statistics Canada is one of the leaders in the Government of Canada’s adoption of data science and artificial intelligence. Find out about the benefits of data science and how they are being used at Canada’s national statistical agency.

                    ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://www.statcan.gc.ca/en/data-science,,,2024-10-02T03:00:00.000Z,False,52,0,359,https://talenthub.vectorinstitute.ai/jobs/342405693-future-opportunities-with-statistics-canada-data-science-division-at-statistics-canada-data-science-division,,expired,2024-09-17T03:00:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Public Administration (i.e Gov't),Associate,Masters Degree,New Posting, f17cac50-ab97-4fb1-8537-b27c94ca834b,310721858,Sun Life Financial,Data Analyst - (AWS /Python),on_site,"Ontario, Canada",2024-03-07T06:44:02.114Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    @@ -40011,14 +39999,686 @@ a0cb5dc2-219c-4cb9-9146-a7bee52b8ff5,336151476,RBC,Data Engineer,on_site,"Toront
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.

                    -

                    Salary:

                    -
                    $81,600.00 - $151,200.00

                    -

                    Pay Type:

                    Salaried

                    -

                    The above represents BMO Financial Group’s pay range and type.

                    -

                    -

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    -

                    -

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    +

                    Salary:

                    +
                  • $81,600.00 - $151,200.00

                    +

                    Pay Type:

                    Salaried

                    +

                    The above represents BMO Financial Group’s pay range and type.

                    +

                    +

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    +

                    +

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-AML-Data-Analyst_R240021132?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-05T07:54:02.360Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/338160099-senior-aml-data-analyst-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +b515b4fa-3777-4699-b580-81998059d6d7,337562396,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-08-10T16:41:02.672Z,"
                    +
                    Who are we?
                    +
                    Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                    +

                    +
                    We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                    +

                    +
                    Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                    +

                    +
                    Join us on our mission and shape the future!
                    +

                    +
                    Why this role?
                    +
                    Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                    +

                    +
                    Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                    +
                    +

                    As a Member of Technical Staff, you will:

                    +
                        +
                      • Design, build and scale AI systems for serving our users.
                      • +
                      • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                      • +
                      • Learn from and work with the best researchers in the field.
                      • +
                    +
                    +

                    You may be a good fit if you have:

                    +
                        +
                      • Extremely strong software engineering skills.
                      • +
                      • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                      • +
                      • Experience writing kernels for GPUs using CUDA.
                      • +
                      • Experience training on TPUs.
                      • +
                      • Experience using large-scale distributed training strategies.
                      • +
                      • Familiarity with autoregressive sequence models, such as Transformers.
                      • +
                      • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                      • +

                        +
                        * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                        +
                    +
                    +
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                    +

                    +
                    +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                    +

                    +
                    Our Perks:
                    +
                    🤝 An open and inclusive culture and work environment
                    +
                    🧑‍💻 Work closely with a team on the cutting edge of AI research
                    +
                    🍽 Weekly lunch stipend, in-office lunches & snacks
                    +
                    🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                    +
                    🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                    +
                    🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                    +
                    🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                    +
                    ✈️ 6 weeks of vacation
                    +

                    +
                    Note: This post is co-authored by both Cohere humans and Cohere technology.
                    +
                    ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-09-11T16:08:45.457Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/337562396-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-08-10T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +e6e5baf9-027a-44d0-b281-889ddb613ad8,338743330,Roche,Sr. Data Engineer,on_site,"Ontario, Canada",2024-08-19T06:14:02.620Z,"
                    +

                    Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                    +

                    +

                    +

                    The Position

                    +

                    Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                    +

                    +

                    We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology.

                    +

                    +

                    As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights.

                    +

                    +

                    The Opportunity:

                    +

                    +

                    Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value.

                    +
                      +
                    • Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance

                    • +
                    • Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipeline

                    • +
                    • Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights

                    • +
                    +

                    +

                    Who You Are:

                    +
                      +
                    • 5+ years of experience as a Data Engineer. Bachelor\'s or Master\'s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous

                    • +
                    • Python experience (Pandas preferred)

                    • +
                    • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc)

                    • +
                    • Understanding of DataOps Practices

                    • +
                    • RDBMS/NoSQL

                    • +
                    • Docker experience

                    • +
                    • AWS experience preferred (EC2 / Lambda / Glue / S3)

                    • +
                    • Snowflake or similar cloud data platform experience preferred

                    • +
                    +

                    +

                    +

                    Relocation benefits are not available for this position.

                    +

                    +

                    +

                    +

                    Who we are

                    +

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    +

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                    +

                    +

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    +
                    +

                    +

                    Roche is an Equal Opportunity Employer.

                    +
                    +
                    ",,https://careers.roche.com/global/en/job/202405-111910/Sr-Data-Engineer,feed-importer@jobboard.io,,,,2024-09-11T20:16:00.000Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/338743330-sr-data-engineer-at-roche,,expired,2024-08-19T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +c75b8b38-f322-437b-aac8-3c48d347745b,337833347,Canadian Tire,Solutions Architect,hybrid,"Toronto, ON, Canada",2024-08-12T19:33:29.770Z,"

                    What you'll do

                    +

                    As an AI Solution Architect, you will be responsible for designing and implementing AI solutions to address business challenges and improve operational efficiency. Your main responsibilities will include:

                    +
                      +
                    • Collaborating with cross-functional teams to identify and understand business requirements and translate them into AI solution designs.
                    • +
                    • Providing technical guidance and expertise on AI-related tools, frameworks, and platforms.
                    • +
                    • Developing end-to-end AI architectures, including data collection, preprocessing, model development, deployment, and monitoring.
                    • +
                    • Designing scalable and efficient AI systems that leverage cloud services such as Azure Machine Learning, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
                    • +
                    • Conducting code reviews and ensuring adherence to coding standards and best practices.
                    • +
                    • Working closely with data scientists and software engineers to implement AI models and algorithms into production-ready applications.
                    • +
                    • Evaluating and selecting appropriate AI technologies, libraries, and frameworks based on project requirements.
                    • +
                    • Collaborating with Enterprise Architects to align AI solutions with the overall enterprise architecture strategy.
                    • +
                    • Keeping up-to-date with the latest advancements in AI technologies and methodologies.
                    • +
                    • Participating in the planning and execution of technology selection, procurement, and implementation projects.
                    • +
                    • Providing leadership and driving the resolution of inter-program and inter-project issues.
                    • +
                    • Overseeing the integration of new technologies and applications into the existing IT infrastructure.
                    • +
                    • Contributing to the creation and improvement of enterprise architecture practices, processes, governance, and compliance.
                    • +
                    • Establishing overall direction and strategic initiatives for a Global Enterprise Architecture aligned with business and IT strategies.
                    • +
                    • Defining and maintaining governance and compliance standards and policies.
                    • +
                    • Executing based on Enterprise Architecture processes.
                    • +
                    • Creating, updating, and maintaining architecture models, roadmaps, and strategies.
                    • +
                    • Leading risk and cost analysis, including build vs. buy strategies and recommendations.
                    • +
                    • Analyzing the current IT environment to identify critical deficiencies and recommend improvement solutions.
                    • +
                    • Contributing to the definition and evolution of global IT architecture based on long-term business strategy, compliance requirements, obsolescence of mission-critical applications, and evolving IT solutions offerings.
                    • +
                    • Capturing current state AI architecture and establishing future state architecture vision for each domain aligned with business and IT strategy.
                    • +
                    • Developing roadmaps for each domain to achieve the future state architecture.
                    • +
                    • Utilizing roadmaps as the basis for reviewing and approving project designs during the Design gate state of the Project lifecycle.
                    • +
                    • Advocating and promoting the Enterprise Architecture vision and value proposition within the IT and business community.
                    • +
                    • Leading research and assessment of new approaches and technologies for potential use within the organization.
                    • +
                    • Facilitating the creation and evolution of architecture principles to support decision-making.
                    • +
                    • Contributing to the development of an implementation plan for enterprise architecture.
                    • +
                    • Driving architecture review of proposed programs as part of the yearly planning process.
                    • +
                    • Proposing architecture-driven programs that simplify complexity, reduce redundancy, leverage technology innovations, aligned with Architecture goals.
                    • +
                    • Consulting with project teams to align projects with enterprise architecture requirements.
                    • +
                    • Reviewing project implementations with functional leadership to ensure alignment with approved architecture designs.
                    • +
                    • Consulting with infrastructure teams to align infrastructure with architecture requirements.
                    • +
                    +

                    +

                    What you bring

                    +
                      +
                    • A master's or bachelor's degree in Computer Science, Engineering, A PhD, or a related field.
                    • +
                    • Certification in relevant cloud platforms such as Azure, GCP, or AWS (Solutions Architect or Developer) is preferred.
                    • +
                    • In-depth knowledge of AI technologies, including machine learning algorithms, natural language processing (NLP), computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch).
                    • +
                    • Strong understanding of cloud services like Azure Machine Learning, GCP AI Platform, or AWS SageMaker.
                    • +
                    • Experience with big data technologies such as Apache Spark or Hadoop for processing large datasets.
                    • +
                    • Proficiency in programming languages such as Python or R for developing AI models and prototypes.
                    • +
                    • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
                    • +
                    • Knowledge of DevOps practices for building CI/CD pipelines and automating deployment processes.
                    • +
                    • Excellent communication skills to effectively collaborate with stakeholders from different backgrounds.
                    • +
                    +

                    +

                    Hybrid

                    +

                    We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                    +

                    +

                    About Us

                    +

                    Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                    +

                    +

                    Our Commitment to Diversity, Inclusion and Belonging

                    +

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    +

                    +

                    Accommodations

                    +

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Solutions-Architect_JR136955,aitalent@vectorinstitute.ai,,,,2024-09-11T19:33:31.950Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/337833347-solutions-architect-at-canadian-tire,,expired,2024-08-12T19:33:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +2017d1b8-6a96-4226-b275-488fcedac1c6,337834830,Canadian Tire,"Senior Financial Analyst, AI Business Value Assessment",hybrid,"Toronto, ON, Canada",2024-08-12T19:41:06.794Z,"

                    What you'll do

                    +
                      +
                    • Enhance our existing BVA framework to effectively prioritize AI project investments
                    • +
                    • Collaborate with project teams to define key performance indicators (KPIs) for measuring AI project benefits.
                    • +
                    • Collect, document and analyze data to assess the pre-launch and post-launch impact of AI initiatives on business outcomes. Analyze revenue streams, cost savings and other financial factors.
                    • +
                    • Identify potential risks, assumptions and uncertainties that may impact financial outcome of the project.
                    • +
                    • Report to management through comprehensive scorecard that captures both quantitative and qualitative aspects of AI project benefits. Present findings in a clear and concise manner to facilitate decision-making at various levels within the organization.
                    • +
                    • Continuously refine methodologies, tools, and metrics to measure the impact of AI on business value.
                    • +
                    • Establish a robust process for tracking and monitoring the progress of AI project benefit over time.
                    • +
                    • Track costs as each projects moves through different stages of internal framework.
                    • +
                    • Support Cost-Benefit-Analysis for the projects.
                    • +
                    • Stay up-to-date with industry trends, research publications, and case studies to uncover additional potential benefits of AI adoption. Evaluate their relevance to our organization and incorporate relevant findings into our BVA framework and benefit measuremen
                    • +
                    +

                    What you bring

                    +
                      +
                    • Bachelor's degree in Finance, Accounting, Economics, or a related field. Professional accounting/finance designation (CPA, CFA) is an asset.
                    • +
                    • 2-5 years experience in analytical role
                    • +
                    • Proven experience in measuring project benefits and financial modeling
                    • +
                    • Excellent analytical and problem-solving skills paired with solid interpersonal and communication skills.
                    • +
                    • Ability to work collaboratively with cross-functional teams and communicate complex concepts effectively.
                    • +
                    • Strong attention to detail and ability to manage multiple projects simultaneously.
                    • +
                    • Advanced working knowledge of Microsoft Excel and PowerPoint
                    • +
                    • Working knowledge of Power BI, SQL, PeopleSoft Financials and KNIME is an asset.
                    • +
                    • Interest of learning AI technologies and their applications across different industries.
                    • +
                    • Familiarity with project management methodologies is a plus.
                    • +
                    +

                    +

                    Hybrid

                    +

                    We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                    +

                    +

                    About Us

                    +

                    Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                    +

                    +

                    Our Commitment to Diversity, Inclusion and Belonging

                    +

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    +

                    +

                    Accommodations

                    +

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Senior-Financial-Analyst--AI-Business-Value-Assessment_JR136921,aitalent@vectorinstitute.ai,,,,2024-09-11T19:41:10.590Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/337834830-senior-financial-analyst-ai-business-value-assessment-at-canadian-tire,,expired,2024-08-12T19:41:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +461ddb9a-9088-4e5c-b0e6-9cfb731913f3,317484206,Scotiabank,"Manager, Model Development - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-04-11T16:28:02.450Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 197093

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The world is changing faster than ever and so are we!

                    +

                    +

                    “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                    +

                    +

                    Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                    +

                    +

                    What Are We Looking For?
                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                    +

                    +

                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                    +

                    +

                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                    +


                    Make an Impact
                    As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting or decisioning models and analytic processes. You will support – from conception through execution and governance – models covering the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners which may include Capital, Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                    +

                    +

                    You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                    +

                    +

                    Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                    +

                    +

                    Is This Role Right for You?

                    +
                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                    • You are both deeply curious and highly pragmatic
                    • You are comfortable with ambitious but realistic goals and are committed to achieving them
                    • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you)
                    • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements or decisions that impacts a real human being
                    • You have a genuine love, passion and talent for programming, data, and predictive modeling
                    • You are committed to quality in everything you do – statistically, process and governance wise
                    • You look forward to sharing your insights through high-quality verbal & written communications
                    • You are professional, motivated AND FUN. We mean it.
                    • +
                    +

                    +

                    Sample projects that you might work on include:

                    +
                    • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                    • Prepare attribution and/or stock-flow analysis of product portfolios
                    • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                    • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                    • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                    • Identify, promote and lead process improvements for model development and monitoring
                    • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                    • +
                    +

                    +

                    What Do You Need to Succeed?
                    General

                    +
                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                    • A demonstrated history of analytic problem solving and sound judgment
                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                    • +
                    +

                    +

                    Technical

                    +
                    • Strong fundamental understanding of statistics
                    • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                    • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                    • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                    • Knowledge about credit risk models / scorecards
                    • +
                    +

                    +

                    Nice to Have’s

                    +
                    • Proficient reading, writing and speaking Spanish
                    • Experience with credit risk forecasting and/or financial reporting frameworks
                    • Experience developing credit risk models / scorecards
                    • Experience working within regulatory capital, loss forecasting, provisioning, IFRS 9 or CECL frameworks
                    • Domain expertise with any retail & small business banking products and/or risk management practices
                    • FRM, CFA credentials
                    • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                    • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                    • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                    • +
                    +

                    +

                    What’s in It for You?

                    +
                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                    • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/579945317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-29T16:33:02.311Z,False,0,3,101,https://talenthub.vectorinstitute.ai/jobs/317484206-manager-model-development-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/579945317/,expired,2024-04-11T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c1773e9a-6266-49ad-ae0f-84d09ae48a2a,319468685,Shopify Inc.,"Staff Data Engineer, Multiple Teams",on_site,"Ontario, Canada",2024-04-23T01:36:02.258Z,"
                    +
                    +
                    Back
                    +

                    Staff Data Engineer, Multiple Teams

                    +
                      +
                    • +TELECOMMUTEAmericas +
                    • +
                    • Engineering & Data
                    • +
                    +
                    Apply Now
                    +

                    About Shopify

                    +
                    +

                    Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                    This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                    +
                    +
                    +
                    +
                    +

                    About you

                    +
                    +

                    Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                    +Before you apply, consider if you can:
                      +
                    • Care deeply about what you do and about making commerce better for everyone
                    • +
                    • Excel by seeking professional and personal hypergrowth
                    • +
                    • Keep up with an unrelenting pace (the week, not the quarter)
                    • +
                    • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                    • +
                    • Bring critical thought and opinion
                    • +
                    • Embrace differences and disagreement to get shit done and move forward
                    • +
                    • Work digital-first for your daily work
                    • +
                    +
                    +
                    +
                    +
                    +Shopifyhttps://www.shopify.com +
                    +
                    +

                    About the role

                    +
                    +

                    About the role

                    +

                    Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

                    +

                    As a Data Engineer at Shopify, your primary responsibility will be to contribute to Shopify’s Data Warehouse, while unlocking powerful insights to guide the development and improvement of Shopify’s products. You\'ll operate as either an either an embedded capacity or on a central Data Engineering team at Shopify as part of the Data Insights organization (exclusive of Data Platform Engineering which is part of our Infrastructure organization).

                    +

                    As an embedded Data Engineer, you will work directly on building foundations for products that transform merchants\' lives. You\'ll collaborate with a multidisciplinary team of professionals that can include Product Data Scientists, Machine Learning Engineers, Business Analysts, and Product Management. The data you shape will be used to power product analysis, dashboards, and reports, as well as your own product analysis, dashboard and report creation from time to time. Our product is designed to empower entrepreneurs and thus your work creates value for users, and contributes to global entrepreneurship.

                    +

                    As a central Data Engineer, you will sit amongst a team of Data Engineers focused on defining and up-leveling the craft and product of Data Engineering across all of Shopify. Your impact is seen at scale when you ship high quality data assets to Shopify’s Data Warehouse, which is used by thousands of people to perform product analysis, make decisions to support our merchants, and steer strategic decisions of the business. You also achieve with others as you partner with Data Engineers embedded in product teams to share and gather standards and best practices, and perform data architecture duties to up-level and maintain the high quality of Data Engineering at Shopify.

                    +

                    To thrive in either role, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                    +

                    Example day-to-day responsibilities include:

                    +
                      +
                    • Designing, building, implementing, and documenting data models

                    • +
                    • Working with business partners to understand business and product objectives, identify the data needed to support them, while influencing product and program decisions

                    • +
                    • Writing data transformations using dbt or Spark

                    • +
                    • Shipping data pipelines including real-time streaming and batch processing

                    • +
                    • Optimizing data transformation pipelines to increase freshness or reduce computational time/cost

                    • +
                    • Collaborating with other data engineers on tooling for automated tasks around consuming, validating raw/modeled data, updating modeled data

                    • +
                    • Collaborating with sister disciplines (Engineering, Data Science) to establish best practices and evangelize the values and priorities of the Data Engineering craft

                    • +
                    • Building production-quality dashboards and scalable data products

                    • +
                    • Debating whether leading or trailing commas are better

                    • +
                    • Fixing jobs that are broken in production (wrong data types returned, granularity not as expected, resourcing issues)

                    • +
                    +
                    +
                    +
                    +
                    +

                    Qualifications

                    +
                    +
                      +
                    • Proven ability to provide leadership and guidance beyond one-on-one mentorship, and the ability to improve data engineering practices across teams
                    • +
                    • Expert in data architecture and modeling concepts, and able to influence others to up-level the craft of Data Engineering

                    • +
                    • Experience forging alignment with senior stakeholders on technical direction for ambiguous problem areas

                    • +
                    • Commercial experience in Data Engineering, and/or Analytics Engineering, ​​​​​​building scalable data warehouses

                    • +
                    • Dimensional Modeling (Star Schema, Kimball, Inmon)

                    • +
                    • Advanced SQL skills (ease with window functions, defining UDFs)

                    • +
                    • Exposure to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers

                    • +
                    • Hands-on experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements

                    • +
                    • Fantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams

                    • +
                    • High proficiency for product analysis, dashboarding, and reporting

                    • +
                    +
                    +

                    We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We look forward to hearing your response to the prompt associated with your application!

                    #LI-KO3 #LI-REMOTE #LI-AH1

                    +

                    Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                    +

                    At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                    +
                    +
                    +
                    +
                    +

                    We hire people, not resumes. If you think you’re right for the role, apply now.

                    Apply Now
                    No matching Engineering or Data role? Leave us your contact information and we\'ll be in touch if a role comes up which matches your skillset.
                    +
                    +

                    First things first

                    +
                    +
                    We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
                    +
                    +
                    I am always seeking (often uncomfortable) growth and deepening my craft expertise
                    +
                    I thrive on change in an ambiguous environment and can keep pace to ship weekly
                    +
                    I want to work remotely for my daily work
                    +
                    +

                    It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                    Submit
                    +

                    Application

                    +
                    +
                    +

                    Personal Information

                    +

                    *Required

                    +
                    +
                      +
                    • First name*

                    • +
                    • Last name*

                    • +
                    • Email*

                    • +
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                      City*

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                      Country*

                      AfghanistanAlbaniaAlgeriaAndorraAngolaAnguillaAntigua & BarbudaArgentinaArmeniaArubaAscension IslandAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia & HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBritish Virgin IslandsBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCaribbean NetherlandsCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongo - BrazzavilleCongo - KinshasaCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d’IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard & McDonald IslandsHondurasHong Kong SARHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacao SARMadagascarMalawiMalaysiaMaldivesMaliMaltaMartiniqueMauritaniaMauritiusMayotteMexicoMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmar (Burma)NamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth KoreaNorth MacedoniaNorwayOmanPakistanPalestinian TerritoriesPanamaPapua New GuineaParaguayPeruPhilippinesPitcairn IslandsPolandPortugalQatarRomaniaRussiaRwandaRéunionSamoaSan MarinoSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia & South Sandwich IslandsSouth KoreaSouth SudanSpainSri LankaSt. BarthélemySt. HelenaSt. Kitts & NevisSt. LuciaSt. MartinSt. Pierre & MiquelonSt. Vincent & GrenadinesSudanSurinameSvalbard & Jan MayenSwedenSwitzerlandSyriaSão Tomé & PríncipeTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad & TobagoTristan da CunhaTunisiaTurkeyTurkmenistanTurks & Caicos IslandsTuvaluU.S. Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWallis & FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
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                      +
                    • +
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                    Experience

                    +
                      +
                    • Resume (Max. 2MB)*

                    • +
                    • +
                      +

                      LinkedIn

                      +
                      +
                      +

                      Website

                      +
                      +
                    • +
                    • Message to Hiring Manager

                    • +
                    +
                      +
                    • +
                      Are you currently based in the US or Canada and plan to work from one of these two countries?* +
                      +
                      YesNo
                      +
                    • +
                    • +
                      Which statement best fits your experience on projects:a) I haven\'t led a project yet, but I\'ve been part of a team where I observed how the lead managed the project. I contributed to the tasks assigned to me and learned from the process.b) I\'ve led a small project or a part of a larger project. I was responsible for coordinating with a few team members, ensuring tasks were completed on time, and communicating progress to the project lead.c) I\'ve led several projects, coordinating with multiple team members and stakeholders. I was responsible for the project\'s success, making key decisions, and ensuring the team was working effectively towards our goals.d) I\'ve led complex, high-stakes projects involving multiple teams or departments. I was responsible for strategic decision-making, managing risks, and ensuring alignment with the organization\'s goals.* +
                      +
                      +A) best describes my project experienceB) best describes my project experienceC) best describes my project experienceD) best describes my project experience
                      +
                    • +
                    • +
                      Please select the answer that best describes your approach to mentorship:a) I\'m still learning the ropes, so I tend to focus more on absorbing knowledge from my seniors rather than mentoring others.b) I\'m comfortable with my skills and can help others with similar or less experience, but I still rely on more experienced engineers for complex problems.c) I actively mentor less experienced engineers like interns & mid-level engineers, sharing my knowledge and providing guidance on a regular basis. I\'m confident in my ability to solve complex problems and often lead team discussions.d) I not only mentor individuals on my team, but I also promote a culture of learning and growth within the organization. I\'m often consulted on high-level decisions due to my extensive experience and knowledge.* +
                      +
                      +A) Best describes my approach to mentorshipB) Best describes my approach to mentorshipC) Best describes my approach to mentorshipD) Best describes my approach to mentorship
                      +
                    • +
                    • +
                      Please select the statement that best describes your experience with data architecture and modeling concepts in your current or previous roles.a) I have contributed to building data models within a data warehouse, working on specific aspects with a clear and defined scope. While I haven\'t participated in direct technical decisions, I have gained valuable experience by implementing these models and collaborating with team members on data architecture tasks.b) I\'ve actively contributed to and led data modeling and design within a data warehouse. I have demonstrated critical thinking and opinion in data engineering endeavors, evaluating trade-offs of various technical decisions and collaborating effectively with stakeholders to achieve project objectives.c) I have taken the lead in the data modeling and design for complex concepts within a data warehouse framework, leveraging my skills to enhance data structures and ensure scalability, while considering trade-offs in technical decisions and engaging with stakeholders to align project goals.d) I regularly take the lead in the design and modeling of complex, large-scale data warehouse systems, demonstrating expertise in data modeling, as well as various Data Engineering tooling for ingestion, transformation, and orchestration. I have mentored team members on data architecture concepts, influencing them to excel in the field of Data Engineering while fostering* +
                      +
                      +A) Best describes my experience with data architecture and modeling conceptsB) Best describes my experience with data architecture and modeling conceptsC) Best describes my experience with data architecture and modeling conceptsD) Best describes my experience with data architecture and modeling concepts
                      +
                    • +
                    • +
                      As a Data Engineer, please select which area would you prioritize for your main focus, aligning with your expertise and interest.a) I\'d like to spend the majority of my time as a data engineer working on tasks such as bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.b) I\'d like to spend the majority of my time as a data engineer building tooling and frameworks crucial for data processing and exposure, creating custom software toenhance developer experience within data warehouses.c) I\'d like to spend the majority of my time as a data engineer focusing on data modeling, incorporating intricate business logic, and constructing a robust data warehouse.d) I’d like to spend the majority of my time as a data engineer focused on building streaming data pipelines, delivering real-time data transport solutions.e) I\'d like to spend the majority of my time as a data engineer focusing on data science and analytics, constructing data marts for in-depth data analysis, and collaborating closely with business users to communicate actionable insights. ""* +
                      +
                      +A) Best describes where I\'d like to prioritize my main focusB) Best describes where I\'d like to prioritize my main focusC) Best describes where I\'d like to prioritize my main focusD) Best describes where I\'d like to prioritize my main focusE) Best describes where I\'d like to prioritize my main focus
                      +
                    • +
                    +
                    +
                    By checking this box, you will declare that you read and understand the privacy policy of Shopify.
                    +* +
                    +
                    +
                    +
                    +
                    ",,https://www.shopify.com/careers/staff-data-engineer--multiple-teams-_410ec0de-b61c-4e47-a07c-12059783f413,feed-importer@jobboard.io,,,,2024-04-29T20:16:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/319468685-staff-data-engineer-multiple-teams-at-shopify-inc,,expired,2024-04-23T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, +38246259-a2c4-4553-b9ac-2cc0cc73d125,317504326,Google,"Field Solutions Developer IV, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-04-11T19:40:54.553Z,"
                    +
                    +

                    Field Solutions Developer IV, Generative AI, Google Cloud

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                    +corporate_fareGoogleplaceToronto, ON, Canada; Atlanta, GA, USA; +12 more; +11 more
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                    +bar_chartAdvanced +
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                    Advanced

                    +
                    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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                    +Apply
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                    +XInfo For US Applcants Only:This role may also be located in our Playa Vista, CA campus.The application window will be open until at least April 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

                    For US Applcants Only:

                    +

                    This role may also be located in our Playa Vista, CA campus.

                    +

                    The application window will be open until at least April 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
                    +
                    + +
                    +

                    Minimum qualifications:

                    +
                      +
                    • Bachelor\'s degree in Science, Technology, Math, Engineering, or equivalent practical experience.
                    • +
                    • 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
                      +
                    • +
                    • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
                      +
                    • +
                    • Experience delivering technical presentations and leading business value sessions.
                      +
                    • +
                    +

                    Preferred qualifications:

                    +
                      +
                    • Master\'s degree in Computer Science, Engineering, or a related technical field.
                      +
                    • +
                    • Experience with distributed training and optimizing performance versus costs.
                      +
                    • +
                    • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
                      +
                    • +
                    • Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
                      +
                    • +
                    • Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
                      +
                    • +
                    • Experience in systems design, with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
                      +
                    • +
                    +
                    +
                    +

                    About the job

                    +

                    As a Generative AI Field Solutions Developer, you will support Google Cloud sales organization. You will be responsible to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clients ranging from early stage startups to prominent companies.

                    +

                    In this role, you will leverage the latest Generative AI technologies to develop innovative solutions. You will showcase the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will collaborate with our Product team to eliminate obstacles and shape the future path of our offerings.

                    +

                    Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    +

                    For US Applicants Only:

                    +

                    The US base salary range for this full-time position is $221,000-$314,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                    +
                    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
                    +
                    +
                    +

                    Responsibilities

                    +
                      +
                    • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
                      +
                    • +
                    • Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
                      +
                    • +
                    • Build repeatable technical assets such as scripts, templates, reference architectures to enable customers and internal teams.
                      +
                    • +
                    • Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
                      +
                    • +
                    • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
                      +
                    • +
                    +
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    +

                    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                    +

                    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    +

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                    +

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    +
                    +
                    ",,https://www.google.com/about/careers/applications/jobs/results/121091392978985670-field-solutions-developer-iv-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-05-02T19:10:00.000Z,False,0,2,124,https://talenthub.vectorinstitute.ai/jobs/317504326-field-solutions-developer-iv-generative-ai-google-cloud-at-google,,expired,2024-04-11T19:40:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +07189ec7-953f-4532-a536-1babb138d162,315520735,Scotiabank,Manager Treasury Risk,on_site,Canada : Ontario : Toronto,2024-04-01T16:26:04.041Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 196333

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The manager in TFRM International team is primary focused on providing structural, liquidity, and market risk oversight for Scotiabank's operations in Latin America and Caribbean units, ensuring all positions and their inherent key risks are properly identified, quantified, monitored, and reported.

                    +

                    +

                    This role has regular exposure to Senior Management across different areas and jurisdictions, working in a collaborative team environment to discuss and provide recommendations on market risk related issues in the region; written and oral presentations are done on a regular basis to Senior Level Executives. The manager will also assess business proposals on the appropriate risk frameworks in line with Scotiabank's standards and policies.

                    +

                    +

                    Conceptualize, develop, and deploy value-added analytical tools and data visualization solutions (ad-hoc reports & dashboards in Tableau, Power BI, etc.) to assist treasury activities around structural interest rate risk and liquidity management.

                    +

                    +

                    Other related activities include, collecting and assessing data from various sources, assessing data quality, ensuring information integrity, using statistical and analytical software, such as VB Excel, R, or Python.

                    +

                    Job Responsibilities:

                    +

                    +
                    • Business Relationship: Develop effective relationships with business lines that foster awareness of the Bank's risk framework, driving agile implementation of value-added initiatives.

                    • Market Intelligence/Analysis: Maintain regular dialogue with business lines and control functions with respect to market developments and risk matters, including changes in risk profile and P&L drivers. Monitor international financial markets/events, identify new trends and summarize new regulatory requirements.

                    • Responding to Requests/Events: Facilitate effective risk-reward decisions by providing an opinion on business initiatives, including calibrating risk limits in alignment with the Bank's risk appetite framework.

                    • Report Effectiveness: Run daily processes within deadlines (e.g., reports, analysis, etc.) and identify process improvement opportunities. Contribute to the testing and development of new tools to automate risk processes across different jurisdictions.

                    • Communication: Distilling relevant daily risk/market information into highlights, ensuring material issues are informed to stakeholders.

                    • Team player: Work effectively with other team members and/or stakeholders with emphasis on getting things done through active participation and collaboration.

                    • Proactivity: Self-initiated behavior that endeavors to propose and execute solutions to daily challenges and tasks.

                    • +
                    +

                    Job Requirements:

                    +

                    +
                    • Quantitative Undergraduate (e.g., Economics, Finance, Mathematics, Statistics, Engineering, etc.) with a master’s degree (e.g., MSc, Master of Finance, Master of Risk Management, etc.).

                    • FRM and/or CFA certifications are an asset.

                    • Proficiency using programming languages and data management software, including Python, R, SQL, Visual Basic, etc.

                    • Strong technical knowledge and work experience in data visualization tools (i.e., Tableau, Power BI).

                    • Knowledge of market risk management processes and metrics.

                    • Knowledge of Spanish is an asset.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-ON-M5H-0B4/579655417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-01T18:18:36.243Z,False,0,3,96,https://talenthub.vectorinstitute.ai/jobs/315520735-manager-treasury-risk-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-ON-M5H-0B4/579655417/,expired,2024-04-01T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +ac4f2769-62fa-4f71-9241-8871723d11e5,319459853,BMO Financial Group,Senior Manager - Model Acceleration Platform,on_site,"Ontario, Canada",2024-04-23T01:06:02.184Z,"
                    +

                    Application Deadline:

                    04/29/2024

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    +

                    Key Responsibilities Include:

                    +
                      +
                    • Acts as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.

                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).

                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.

                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.

                    • +
                    • Develops an expert understanding of business/group challenges.

                    • +
                    • Recommends measures to improve organizational effectiveness.

                    • +
                    • May consult to or serve on various committees and task forces.

                    • +
                    • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.

                    • +
                    • Influences and negotiates to achieve business objectives.

                    • +
                    • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

                    • +
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.

                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.

                    • +
                    • Supports development of tools and delivers training for data and analytics.

                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

                    • +
                    +

                    +

                    Qualifications:

                    +
                      +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to R, Python, SQL, SAS.

                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.

                    • +
                    • A professional designation in Finance or Risk management is preferred.

                    • +
                    • Seasoned expert with extensive industry knowledge.

                    • +
                    +

                    +

                    If you’re looking for your next dream job, consider this one in BMO’s Enterprise Risk Group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

                    +

                    +

                    +

                    Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                    +
                      +
                    • Develops quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.

                    • +
                    • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.

                    • +
                    • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.

                    • +
                    • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.

                    • +
                    • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

                    • +
                    • Conducts quantitative research in risks across strategies and portfolios.

                    • +
                    • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.

                    • +
                    • Ensures alignment between values and behaviour that fosters diversity and inclusion.

                    • +
                    • Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

                    • +
                    • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.

                    • +
                    • Attracts, retains, and enables the career development of top talent.

                    • +
                    • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.

                    • +
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

                    • +
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

                    • +
                    • Implements changes in response to shifting trends.

                    • +
                    • Broader work or accountabilities may be assigned as needed.

                    • +
                    +

                    +

                    Qualifications:

                    +

                    Intermediate level of proficiency:

                    +
                      +
                    • Regulatory capital and stress testing.

                    • +
                    • Compliance and regulation.

                    • +
                    • Machine learning.

                    • +
                    • Learning Agility.

                    • +
                    • Systems Thinking.

                    • +
                    +

                    Advanced level of proficiency:

                    +
                      +
                    • Model risk management.

                    • +
                    • Data visualization.

                    • +
                    • Data wrangling.

                    • +
                    • Data preprocessing.

                    • +
                    • Critical thinking.

                    • +
                    • Driving Results.

                    • +
                    • Quantitative financial modeling.

                    • +
                    • Computational thinking and programming.

                    • +
                    • Verbal & written communication skills.

                    • +
                    • Analytical and problem solving skills.

                    • +
                    • Collaboration & team skills; with a focus on cross-group collaboration.

                    • +
                    • Able to manage ambiguity.

                    • +
                    • Data driven decision making.

                    • +
                    • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                    • +
                    • Seasoned professional with a combination of education, experience and industry knowledge.

                    • +
                    +
                    +

                    +

                    Compensation and Benefits:

                    +
                    $100,800.00 - $187,200.00

                    +

                    Pay Type:

                    Salaried

                    +

                    The above represents BMO Financial Group’s pay range and type.

                    +

                    +

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    +

                    +

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    We’re here to help

                    @@ -40027,13 +40687,149 @@ a0cb5dc2-219c-4cb9-9146-a7bee52b8ff5,336151476,RBC,Data Engineer,on_site,"Toront

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-AML-Data-Analyst_R240021132?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-05T07:54:02.360Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/338160099-senior-aml-data-analyst-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -b515b4fa-3777-4699-b580-81998059d6d7,337562396,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-08-10T16:41:02.672Z,"
                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager---Model-Acceleration-Platform_R240004735-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-02T19:12:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/319459853-senior-manager-model-acceleration-platform-at-bmo-financial-group,,expired,2024-04-23T01:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e5985099-8647-449d-93a6-597f58a8c63c,315946825,Borealis AI,Machine Learning Researcher - Fall 2024 Internship,hybrid,"Toronto, ON, Canada",2024-04-02T23:06:06.146Z,"

                    About Borealis AI

                    +

                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 85+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its four labs in Canada.

                    +

                    +

                    We offer a hybrid working model with our internship program. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                    +

                    +

                    Internship opportunities are available in the following areas:
                    - AutoML
                    - Bayesian Optimization
                    - Computer Vision
                    - Deep Learning
                    - Graphs & Optimization
                    - Interpretability & Explainability
                    - Natural Language Processing
                    - Privacy & Fairness
                    - Reinforcement Learning
                    - Time Series Forecasting
                    - Unsupervised and Semi-supervised Learning

                    +


                    +

                    You’re our ideal candidate if you have:
                    - Ability to implement state-of-the-art machine learning techniques
                    - High motivation to solve challenging research problems
                    - Passion for data, algorithms, and statistics
                    - Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                    - Previous publications at a top-tier AI conference
                    - Experience with writing modular, robust, scalable software in Python
                    - Familiarity with the Unix command line and bash scripting
                    - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                    - A deep understanding of machine learning algorithms and/or statistical modeling

                    +

                    +

                    Internship duration: 4 months (September — 
December 2024)

                    +

                    Application deadline: May 14, 2024

                    +

                    How to apply: Complete the online application and submit your
                    resume at: 
https://www.borealisai.com/internship-application/

                    For any questions and enquiries, please contact: mi.research@borealisai.com

                    +


                    Inclusion and Equal Opportunity Statement:
                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    ",,https://www.borealisai.com/internship-application/,huyen.mori@borealisai.com,https://www.borealisai.com,,,2024-05-04T16:10:54.972Z,False,0,48,257,https://talenthub.vectorinstitute.ai/jobs/315946825-machine-learning-researcher-fall-2024-internship-at-borealis-ai,,expired,2024-04-02T23:06:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +ddbc7da6-2d0b-4ffe-b563-772c4436ffda,321009097,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2024,on_site,Canada : Ontario : Toronto,2024-05-02T16:28:03.546Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 198162

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: September 2024 – December 2024
                    Application Deadline: May 24th, 2024

                    +

                    +

                    Ready to Start your Journey with Scotiabank? Apply Now!

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                    +

                    +

                    Please follow the steps below to successfully apply:

                    +

                    +

                    Step 1: Complete your PLUM Profile here and save as a screenshot.

                    +

                    Step 2: Complete a short one-way video interview here.

                    +

                    Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                    +

                    Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                    +

                    +

                    Note: The one-way video interview & codility assessment for all our Velocity Technology Fall 2024 Internship applications are the same. You only need to complete this one!

                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions

                    • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling

                    • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model

                    • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes

                    • Prepare detailed documentation to outline data sources, models, and algorithms used and developed

                    • Present results to business line stakeholders and help implement real data-driven changes

                    • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes

                    • Experiment & learn!

                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.

                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                    • You have knowledge/experience in:

                    • +
                    +
                    1. Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)

                    2. +
                    +
                    1. Big Data/Cloud ecosystem (e.g., GCP)

                    2. +
                    +
                    1. Experimental design, statistical analysis, machine learning

                    2. +
                    +
                    1. Python programming

                    2. +
                    +
                    1. Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)

                    2. +
                    +
                    1. UNIX tools and shell scripting

                    2. +
                    +
                    1. SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)

                    2. +
                    +
                    1. Visualization tools like PowerBI

                    2. +
                    +
                    1. Kubernetes

                    2. +
                    +
                    1. Git Workflows (Pull Request, Code Review, Branching)

                    2. +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2024-ON/580498817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-20T16:33:04.852Z,False,0,10,127,https://talenthub.vectorinstitute.ai/jobs/321009097-velocity-data-scientist-internship-co-op-fall-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2024-ON/580498817/,expired,2024-05-02T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +6e61cc55-de7f-46fd-8cec-46d309d4325a,323040680,CIBC,"Sr. Consultant, TPGO Business Intelligence",on_site,"Ontario, Canada",2024-05-14T01:05:03.245Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    +
                    +

                    What you’ll be doing

                    +
                    +

                    As a member of the Third Party Governance Office (TPGO), the Senior Consultant, TPGO Business Intelligence plays a critical role for leading initiatives to make complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes.  Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote

                    +
                    +
                    +

                    +

                    How you’ll succeed

                    +
                    +
                      +
                    • Focus on Innovation and Simplification. Strive for continual enhancement of data quality and contribute to system and governance process simplification.

                    • +
                    • Data Analysis. Working with business partners, conduct business analysis, documentation and development of complex business requirements to deliver high quality solutions, through the existing infrastructure framework related to data ingestion, transformation, calculation, and reporting of risk related metrics in an impactful way.

                    • +
                    • Technical / Data Modelling Skills. Prior experience in finding meaningful insights and design intuitive visualizations is beneficial.  A background in data design will be an asset.

                    • +
                    • Curious and Creative. We are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive.

                    • +
                    • Stay Current with Best Practices. Our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics.

                    • +
                    +

                    +

                    Who you are

                    +
                      +
                    • You have demonstrated experience in: Data Analysis tools (Alteryx; SQL; Microsoft Power BI; Advanced Microsoft Excel). You have a minimum of 5 years of relevant experience in Data Analytics and/or Risk Management within Financial Services. It is an asset if you have strong knowledge in Tableau / Python / and JavaScript.

                    • +
                    • You have a degree/diploma in: Computer Science, Mathematics, Engineering and/or a related field of study.

                    • +
                    • You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                    • +
                    • You embrace and champion change. You’ll continuously evolve your thinking and the way you work in order to deliver your best.

                    • +
                    • You’re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create shared vision.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • +
                    +
                    +

                    +

                    What CIBC Offers

                    +

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    +

                    +

                    *Subject to plan and program terms and conditions

                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-81 Bay, 19th Floor

                    +

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    +

                    Skills

                    Data Analysis, Data Reporting, Data Visualization, Risk Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--TPGO-Business-Intelligence-_2410656?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-21T01:10:03.300Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/323040680-sr-consultant-tpgo-business-intelligence-at-cibc,,expired,2024-05-14T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ab6ea8a4-accd-4b8e-95fc-90f9be46be97,319369991,Cohere AI,"Manager of Technical Staff, Search",on_site,"Toronto, ON, Canada",2024-04-22T16:38:01.680Z,"
                    Who are we?
                    Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

                    @@ -40043,37 +40839,43 @@ b515b4fa-3777-4699-b580-81998059d6d7,337562396,Cohere AI,"Member of Technical St

                    Join us on our mission and shape the future!

                    -
                    Why this role?
                    -
                    Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                    +
                    Why this role?
                    +
                    We are looking for talented individual to help us lead a team within our Search org that develops state-of-the-art models for information retrieval. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.
                    +

                    +
                    Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.
                    +

                    +
                    We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.

                    -
                    Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                    -

                    As a Member of Technical Staff, you will:

                    +

                    As a Manager of Technical Staff on this team, you will:

                        -
                      • Design, build and scale AI systems for serving our users.
                      • -
                      • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                      • -
                      • Learn from and work with the best researchers in the field.
                      • +
                      • Partner with our Product and Leadership teams, defining project requirements, timelines, and deliverables.
                      • +
                      • Collaborate cross-functionally with our platform, biz, sales, and marketing teams.
                      • +
                      • Design, train and improve upon cutting-edge search models.
                      • +
                      • Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
                      • +
                      • Work closely with model serving team to ensure that inference is fast and stable.
                      • +
                      • Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.
                      • +
                      • Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!

                    You may be a good fit if you have:

                        -
                      • Extremely strong software engineering skills.
                      • -
                      • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                      • -
                      • Experience writing kernels for GPUs using CUDA.
                      • -
                      • Experience training on TPUs.
                      • -
                      • Experience using large-scale distributed training strategies.
                      • +
                      • Lead and managed teams of highly technical engineers and researchers. Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                      • +
                      • Experience training representation models, or using text embeddings in downstream tasks.
                      • +
                      • Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
                      • Familiarity with autoregressive sequence models, such as Transformers.
                      • -
                      • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                      • +
                      • Strong communication and problem-solving skills.

                      • -
                        * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                        +
                        Bonus points for:
                        +
                      • Proficiency in other programming languages, such as C++ or Golang.
                      • +
                      • Experience using large-scale distributed training strategies with GPUs.
                      • +

                        +
                        * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

                    -
                    -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                    +
                    We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

                    Our Perks:
                    🤝 An open and inclusive culture and work environment
                    @@ -40086,116 +40888,92 @@ b515b4fa-3777-4699-b580-81998059d6d7,337562396,Cohere AI,"Member of Technical St
                    ✈️ 6 weeks of vacation

                    Note: This post is co-authored by both Cohere humans and Cohere technology.
                    -
                    ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-09-11T16:08:45.457Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/337562396-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-08-10T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -e6e5baf9-027a-44d0-b281-889ddb613ad8,338743330,Roche,Sr. Data Engineer,on_site,"Ontario, Canada",2024-08-19T06:14:02.620Z,"
                    -

                    Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                    -

                    -

                    -

                    The Position

                    -

                    Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                    -

                    -

                    We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology.

                    -

                    -

                    As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights.

                    +
                    ",,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,feed-importer@jobboard.io,,,,2024-05-22T16:57:56.519Z,False,0,5,60,https://talenthub.vectorinstitute.ai/jobs/319369991-manager-of-technical-staff-search-at-cohere-ai,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,expired,2024-04-22T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, +06a82330-c586-4778-9b62-b8c36ee46d5a,323636763,Sun Life Financial,"Senior Data Analyst, Client Experience Insights - (Fixed Term)",on_site,"Ontario, Canada",2024-05-17T01:34:01.923Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    The Opportunity:

                    -

                    Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value.

                    -
                      -
                    • Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance

                    • -
                    • Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipeline

                    • -
                    • Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights

                    • -
                    +

                    Job Description:

                    +
                    +
                    +

                    This is a 12-months contract position.

                    -

                    Who You Are:

                    -
                      -
                    • 5+ years of experience as a Data Engineer. Bachelor\'s or Master\'s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous

                    • -
                    • Python experience (Pandas preferred)

                    • -
                    • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc)

                    • -
                    • Understanding of DataOps Practices

                    • -
                    • RDBMS/NoSQL

                    • -
                    • Docker experience

                    • -
                    • AWS experience preferred (EC2 / Lambda / Glue / S3)

                    • -
                    • Snowflake or similar cloud data platform experience preferred

                    • -
                    -

                    -

                    -

                    Relocation benefits are not available for this position.

                    -

                    +

                    Are you a passionate analytics professional looking to leverage your talents to improve the client experience at a major Canadian company? Do you love matching front end to back-end data to understand client journeys and what behaviours lead to what outcomes? If so, Sun Life is looking for a Senior Data Analyst, Client Experience Insights and this might be the next role to develop your analytics career.

                    +
                    +

                    +

                    Reporting to the Manager, Data Analytics, the Senior Data Analyst will support the CXO Marketing & Journey Analytics teams in their journeys to become more data savvy. The role will focus on leveraging integrated data from various sources to help stakeholders make key decisions, drive client-centric value and increase our client index scores. You will help the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance and merging front end survey and web data to back-end sales data.  

                    +

                    +

                    What will you do?

                    +

                    +
                      +
                    • Support analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems. Be the analytic resource for the Marketing & Journey Analytics teams

                    • +
                    • Deliver actionable insights that are easy to interpret and rich with information

                    • +
                    • Merge front end survey and web analytics data with back-end source data to highlight our client journeys from beginning to end

                    • +
                    • Draw out business insights from analytical output and work with team leads to put together business recommendations

                    • +
                    • Put together effective presentations of findings and desire to present to multiple levels of stakeholders

                    • +
                    • Automate recurring tasks to free up capacity. Find efficient ways of working

                    • +
                    +
                    +
                    +
                      +
                    • Leverage internal training, peers and other sources to continue to grow capabilities

                    • +
                    • An active contributing member to the analytics academy to help foster and grow the data science community at Sun Life

                    • +
                    +

                    +

                    What will you need to succeed?

                    +

                    +
                      +
                    • 5+ years working with data (i.e., quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports)

                    • +
                    • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                    • +
                    • Expert using Python/PySpark to work with data, with the flexibility to use both languages as we transition from one to the other

                    • +
                    • Experience with AWS Stack, especially with S3, Glue, Athena, Trino and with BI tools like Tableau and Quick sight.

                    • +
                    • Experience with Adobe analytics or the ability to self-learn these tools in role

                    • +
                    • An effective and concise oral and written storytelling and communication skills

                    • +
                    • Ability to work as a team to help deliver multiple projects with courage in managing expectations of team leaders

                    • +
                    • Ability to document work

                    • +
                    • BSc in statistical, mathematical, or technical field (i.e., computer science), Bachelors in Analytics or MMA

                    • +
                    +

                    +

                    What will be nice to have?

                    +

                    +
                      +
                    • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, re-insurance and casualty insurance)

                    • +
                    • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, deep learning etc.)

                    • +
                    • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)

                    • +
                    +
                    +
                    +
                    • Experience working with unstructured data

                    +

                    +

                    Unique Requirements

                    +

                    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                    +

                    +

                    Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    +

                    +

                    What is in it for you?

                    +
                      +
                    • Competitive salary and bonus structure influenced by market range data

                    • +
                    • Entitlement to flexible benefits, pension, stocks, savings and 4 weeks vacation

                    • +
                    • A friendly, collaborative and inclusive culture

                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • +
                    +

                    +

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -
                    -

                    -

                    Roche is an Equal Opportunity Employer.

                    -
                    -
                    ",,https://careers.roche.com/global/en/job/202405-111910/Sr-Data-Engineer,feed-importer@jobboard.io,,,,2024-09-11T20:16:00.000Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/338743330-sr-data-engineer-at-roche,,expired,2024-08-19T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -c75b8b38-f322-437b-aac8-3c48d347745b,337833347,Canadian Tire,Solutions Architect,hybrid,"Toronto, ON, Canada",2024-08-12T19:33:29.770Z,"

                    What you'll do

                    -

                    As an AI Solution Architect, you will be responsible for designing and implementing AI solutions to address business challenges and improve operational efficiency. Your main responsibilities will include:

                    -
                      -
                    • Collaborating with cross-functional teams to identify and understand business requirements and translate them into AI solution designs.
                    • -
                    • Providing technical guidance and expertise on AI-related tools, frameworks, and platforms.
                    • -
                    • Developing end-to-end AI architectures, including data collection, preprocessing, model development, deployment, and monitoring.
                    • -
                    • Designing scalable and efficient AI systems that leverage cloud services such as Azure Machine Learning, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
                    • -
                    • Conducting code reviews and ensuring adherence to coding standards and best practices.
                    • -
                    • Working closely with data scientists and software engineers to implement AI models and algorithms into production-ready applications.
                    • -
                    • Evaluating and selecting appropriate AI technologies, libraries, and frameworks based on project requirements.
                    • -
                    • Collaborating with Enterprise Architects to align AI solutions with the overall enterprise architecture strategy.
                    • -
                    • Keeping up-to-date with the latest advancements in AI technologies and methodologies.
                    • -
                    • Participating in the planning and execution of technology selection, procurement, and implementation projects.
                    • -
                    • Providing leadership and driving the resolution of inter-program and inter-project issues.
                    • -
                    • Overseeing the integration of new technologies and applications into the existing IT infrastructure.
                    • -
                    • Contributing to the creation and improvement of enterprise architecture practices, processes, governance, and compliance.
                    • -
                    • Establishing overall direction and strategic initiatives for a Global Enterprise Architecture aligned with business and IT strategies.
                    • -
                    • Defining and maintaining governance and compliance standards and policies.
                    • -
                    • Executing based on Enterprise Architecture processes.
                    • -
                    • Creating, updating, and maintaining architecture models, roadmaps, and strategies.
                    • -
                    • Leading risk and cost analysis, including build vs. buy strategies and recommendations.
                    • -
                    • Analyzing the current IT environment to identify critical deficiencies and recommend improvement solutions.
                    • -
                    • Contributing to the definition and evolution of global IT architecture based on long-term business strategy, compliance requirements, obsolescence of mission-critical applications, and evolving IT solutions offerings.
                    • -
                    • Capturing current state AI architecture and establishing future state architecture vision for each domain aligned with business and IT strategy.
                    • -
                    • Developing roadmaps for each domain to achieve the future state architecture.
                    • -
                    • Utilizing roadmaps as the basis for reviewing and approving project designs during the Design gate state of the Project lifecycle.
                    • -
                    • Advocating and promoting the Enterprise Architecture vision and value proposition within the IT and business community.
                    • -
                    • Leading research and assessment of new approaches and technologies for potential use within the organization.
                    • -
                    • Facilitating the creation and evolution of architecture principles to support decision-making.
                    • -
                    • Contributing to the development of an implementation plan for enterprise architecture.
                    • -
                    • Driving architecture review of proposed programs as part of the yearly planning process.
                    • -
                    • Proposing architecture-driven programs that simplify complexity, reduce redundancy, leverage technology innovations, aligned with Architecture goals.
                    • -
                    • Consulting with project teams to align projects with enterprise architecture requirements.
                    • -
                    • Reviewing project implementations with functional leadership to ensure alignment with approved architecture designs.
                    • -
                    • Consulting with infrastructure teams to align infrastructure with architecture requirements.
                    • -
                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    What you bring

                    -
                      -
                    • A master's or bachelor's degree in Computer Science, Engineering, A PhD, or a related field.
                    • -
                    • Certification in relevant cloud platforms such as Azure, GCP, or AWS (Solutions Architect or Developer) is preferred.
                    • -
                    • In-depth knowledge of AI technologies, including machine learning algorithms, natural language processing (NLP), computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch).
                    • -
                    • Strong understanding of cloud services like Azure Machine Learning, GCP AI Platform, or AWS SageMaker.
                    • -
                    • Experience with big data technologies such as Apache Spark or Hadoop for processing large datasets.
                    • -
                    • Proficiency in programming languages such as Python or R for developing AI models and prototypes.
                    • -
                    • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
                    • -
                    • Knowledge of DevOps practices for building CI/CD pipelines and automating deployment processes.
                    • -
                    • Excellent communication skills to effectively collaborate with stakeholders from different backgrounds.
                    • -
                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    Hybrid

                    -

                    We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    About Us

                    -

                    Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    Our Commitment to Diversity, Inclusion and Belonging

                    -

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    Accommodations

                    -

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Solutions-Architect_JR136955,aitalent@vectorinstitute.ai,,,,2024-09-11T19:33:31.950Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/337833347-solutions-architect-at-canadian-tire,,expired,2024-08-12T19:33:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +

                    Salary Range:

                    76,000/76 000 - 125,000/125 000

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    23/05/2024
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst--Client-Experience-Insights_JR00094042?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-05-24T15:56:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/323636763-senior-data-analyst-client-experience-insights-fixed-term-at-sun-life-financial,,expired,2024-05-17T01:34:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 2017d1b8-6a96-4226-b275-488fcedac1c6,337834830,Canadian Tire,"Senior Financial Analyst, AI Business Value Assessment",hybrid,"Toronto, ON, Canada",2024-08-12T19:41:06.794Z,"

                    What you'll do

                    -

                    -

                    -

                    -

                    -

                    Job Skills

                    Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                    -

                    -

                    -

                    Additional Job Details

                    -

                    Address:

                    180 WELLINGTON ST W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    WEALTH MANAGEMENT

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-09-17

                    Application Deadline:

                    2024-11-30

                    -

                    -

                    -

                    -

                    -
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    -

                    -

                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000099861/Lead-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-16T19:44:11.427Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/341819804-lead-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,No Degree,New Posting, +

                    +

                    +

                    +

                    +

                    Job Skills

                    Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    180 WELLINGTON ST W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    WEALTH MANAGEMENT

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-09-17

                    Application Deadline:

                    2024-11-30

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000099861/Lead-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-16T19:44:11.427Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/341819804-lead-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,No Degree,New Posting, +5a2f1eb7-f049-48f5-b98e-1072f0e61096,345362224,CIBC,"Director, Digital and AI Enablement Delivery",on_site,"Ontario, Canada",2024-10-07T10:04:03.994Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    +
                    +

                    What you\'ll be doing

                    +

                    The Director, Digital and AI Enablement Delivery will be responsible for leading a team of product owners/consultants who are accountable for executing the product strategy for Digital and AI applications across the bank. The role will focus on executing and delivering digital transformation, AI use cases and enhancing AI platforms. This role will contribute to CIBC\'s transformation by executing and delivering on the product vision, strategy, and roadmap for AI initiatives and digital that align with the bank\'s growth objectives and enhance client experience. You will work in close collaboration with technology teams, business units, and stakeholders to ensure successful delivery and adoption of AI products and solutions, and will be aligned to specific strategic business units. You will provide strategic and tactical insights, and have accountability for Digital and AI programs, projects & initiatives that support our strategy and partner projects across CIBC. You will work closely with teams in a leadership capacity, and you will hold key stakeholder relationships.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                    +

                    +

                    How you\'ll succeed

                    +
                    • Strategy and Roadmap & Execution: Execute and deliver on the vision and roadmap for digital and AI products, ensuring alignment with business objectives and client needs. Lead a team of Product owners who define, communicate, and deliver on the vision and roadmap for digital and AI products.

                    +
                    • Stakeholder Management: Engage with stakeholders to gather feedback, identify opportunities, and advocate for the value of AI-driven solutions. Demonstrate the ability to influence and drive consensus among diverse stakeholder groups.

                    +
                    • Relationship Management: Execute and deliver on digital and AI use cases and platform enhancements to improve functionality and employee and client experience. Work closely with business leaders to understand their challenges and opportunities, integrating their insights into product development. Partner with the Enterprise Analytics and Advanced Analytics & AI teams to leverage data and insights for product innovation. Maintain regular communication with technology and operations teams to ensure seamless integration and support for digital and AI products.

                    +

                    +

                    Who You Are

                    +
                    • You can demonstrate 10+ years of experience. Leading the design and implementation of new products, AI use cases, and platform enhancements to improve functionality and user experience.

                    +
                    • Collaborate with vendors and internal teams to develop bespoke digital and AI solutions that address specific business needs.

                    +
                    • Measure and report on product performance, utilizing data to inform decisions and drive continuous improvement.

                    +
                    • Ensure compliance with CIBC\'s policies and regulatory standards throughout the product development process.

                    +
                    • Synthesize complex analysis, findings, and recommendations, then package key messages for senior executives.

                    +
                    • Strong understanding of AI technologies and their application within the financial services industry.

                    +
                    • Proven experience in product management, with the ability to lead products from conception to launch.

                    +
                    • Excellent communication and leadership skills, with the ability to influence and drive consensus among diverse stakeholder groups.

                    +
                    • Strategic thinker with a results-oriented mindset, focused on delivering high-quality products that meet client needs.

                    +
                    • Ability to navigate complex environments and manage multiple priorities effectively

                    +
                    +
                    +
                    • Education: You have a degree/diploma in Computer Science or Technical discipline.

                    +
                    • You embrace and champion change. You are passionate about being on top of technology trends. You\'ll continuously evolve your thinking and the way you work to deliver your best.

                    +
                    • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                    +
                    • You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

                    +
                    +

                    +

                    What CIBC Offers

                    +

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    + +

                    +

                    *Subject to plan and program terms and conditions

                    +

                    +

                    What you need to know

                    + +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-81 Bay, 16th Floor

                    +

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    +

                    Skills

                    Artificial Intelligence (AI), Business Analysis, Business Objectives, Communication, Customer Experience (CX), Design Processes, Digital Designs, Digital Technology, Financial Modeling, Generative AI, Long Term Planning, People Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Digital-and-AI-Enablement-Delivery_2420958?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-17T10:09:04.958Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/345362224-director-digital-and-ai-enablement-delivery-at-cibc,,expired,2024-10-07T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +4f7fe2ce-1252-45d2-8951-7f3a319a9c06,342711145,Borealis AI,Senior Manager - Advisory,on_site,"Ontario, Canada",2024-09-19T12:35:02.726Z,"
                    +

                    What\'s the opportunity?

                    +

                    We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for RBC’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems.

                    At RBC Borealis, you’ll be joining a fast paced, dedicated and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products.

                    +

                    Your responsibilities will include:

                    + +

                    You’re our ideal candidate if you:

                    + +

                    What’s in it for you:

                    + +

                    About RBC Borealis

                    +

                    RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=7640640002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-17T19:45:00.000Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/342711145-senior-manager-advisory-at-borealis-ai,,expired,2024-09-19T12:35:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Scaling (20-499),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +bdbaabf0-f43c-40f7-9984-e5f5d674b165,343307675,Scotiabank,"Senior Manager, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.206Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 206827

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Join a purpose driven team, driven by results, in an inclusive and high-performing culture.

                    +

                    +

                    Reporting to the Director, Portfolio Management & Analytics, the Senior Manager will work closely with a diverse set of stakeholders to generate insights and deliver judicious recommendations. You will drive analyses, oversight, and judicious thought leadership for Mortgage and HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

                    +

                    +

                    Job Responsibilities:

                    +

                    +
                    • Lead sensitivity analyses to essay performance benchmarks against various environmental trends; develop scenario frameworks and readiness playbooks by identifying and prioritizing levers.

                    • Measure and monitor policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on credit performance; assist various teams in development and adjustments to policy through judicious insights.

                    • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends.

                    • Senior Executive assistance on performance trending across portfolios, and preparation of judicious communication materials.

                    • Triangulate internal data analyses with macro-economic and consumer trend reports to find customer vulnerability; maintain an integrated set of performance benchmarks to continuously monitor segment performance.

                    • Lead GRM colleagues to improve portfolio monitoring and account management capabilities through integration of new models and frameworks.

                    • Assist annual judicious planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

                    • Prepare Deep Dive analyses on key segments within the RESL portfolio, provisioning, and peer trends.

                    • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

                    • +
                    +

                    Job Requirements:

                    +

                    +
                    • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of credit portfolios are essential.

                    • Proficiency in programming and/or database programs (MongoDB, SAS, JAVA, SQL, R, Hadoop, Python)

                    • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a master’s degree in business, statistics, economics, mathematics, management sciences or analytics.

                    • 8-10 years of relevant work experience

                    • Expertise and thorough understanding of credit and portfolio management, mortgage underwriting and credit analytics.

                    • In-depth understanding of: i) RESL products, systems and channels, and the markets in which Scotiabank operates; ii) Bank’s credit risk policy and risk appetite framework; iii) retail lending process and applications; and iv) legislative and marketplace issues relative to credit risk management.

                    • Strong financial skills, solid deductive reasoning, sound judgement and creativity.

                    • Strong verbal and written communication skills and the ability to effectively convey information to various levels of management.

                    • Knowledge of credit risk management origination techniques and strategies in Retail credit, including the create of champion/challenger tests and risk strategies utilizing credit risk scores.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/343307675-senior-manager-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449717/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +3740258a-3580-4e7a-81e8-ed6fd8022789,345788003,Scotiabank,Canadian Banking - Technology & Analytics Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.085Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 206571

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: January - April 2025

                    +

                    Application Deadline: 10/18/2024

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership, and Opportunity).

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Proactively identify data needs and manage data collection.
                    • Gather business and data requirements to clearly outline business problems, opportunities, and solutions.
                    • Follow analytical frameworks: hypothesis development, collecting, preparing, and combining the data from multiple data sources, analyzing data, validation, drawing conclusions, assessing risks, and developing actionable recommendations for the organization.
                    • Build and present strong data-driven business cases to drive strategies.
                    • Leverage SQL, Python, and data visualization software (Power BI) to develop analytical models that support strategic initiatives and improve business processes.
                    • Create reporting through Excel or PowerPoint.
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
                    • You have strong knowledge of analytical tools and languages such as SQL, Python, Power BI, SAS, etc.
                    • You have a high level of competency with MS Office suite, especially Excel.
                    • You are able to clearly identify and articulate key insights and recommendations.
                    • You can work in a fast-paced environment with cross-functional teams.
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    How do I apply?

                    +

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save it as a screenshot.
                    2. Complete a short one-way video interview here
                    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                    4. +
                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Technology-&-Analytics-InternshipCo-op-Winter-2025-ON/584338717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/345788003-canadian-banking-technology-analytics-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Technology-&-Analytics-InternshipCo-op-Winter-2025-ON/584338717/,expired,2024-10-10T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +d4ee60e2-595a-46b2-88de-4822075ae933,346633829,RBC,"Big Data Application Developer, GFT",on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.129Z,"
                    +

                    Job Summary

                    +

                    +

                    +

                    Job Description

                    +

                    What is the opportunity?

                    +

                    Individual will work as a Big Data Application Developer with the AML IT team, delivering services to implement technical and business needs, and working closely with various partners across IT and business.

                    +

                    Our technology stack is composed of Big-Data Hadoop Cluster Spark framework, Pega v8, Java/Spring boot micro-services deployed to Pivotal Cloud Foundry (PCF), Quantexa integrated with Elastic and OpenShift infrastructures, plus opportunities to work with front-end technologies, Case Management and creation of Enterprise Class Structure and Rulesets design. Full PRPC implementation including rules configuration, customization and package deployment with best Pega practices. We are looking for team players, with a passion for building quality solutions and solving business problems through efficient software engineering, CI/CD and SRE, in an agile environment.

                    +

                    +

                    What will you do?

                    + +

                    +

                    What do you need to succeed?

                    +

                    Must-have

                    + +

                    +

                    Nice-to-have

                    + +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    + +

                    +

                    #LI-Hybrid

                    +

                    #LI-POST

                    +

                    +

                    +

                    Job Skills

                    Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    TECHNOLOGY AND OPERATIONS

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-08-22

                    Application Deadline:

                    2024-10-19

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000096255/Big-Data-Application-Developer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-21T08:25:03.505Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/346633829-big-data-application-developer-gft-at-rbc,,expired,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +461ddb9a-9088-4e5c-b0e6-9cfb731913f3,317484206,Scotiabank,"Manager, Model Development - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-04-11T16:28:02.450Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 197093

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The world is changing faster than ever and so are we!

                    +

                    +

                    “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                    +

                    +

                    Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                    +

                    +

                    What Are We Looking For?
                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                    +

                    +

                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                    +

                    +

                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                    +


                    Make an Impact
                    As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting or decisioning models and analytic processes. You will support – from conception through execution and governance – models covering the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners which may include Capital, Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                    +

                    +

                    You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                    +

                    +

                    Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                    +

                    +

                    Is This Role Right for You?

                    +
                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                    • You are both deeply curious and highly pragmatic
                    • You are comfortable with ambitious but realistic goals and are committed to achieving them
                    • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you)
                    • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements or decisions that impacts a real human being
                    • You have a genuine love, passion and talent for programming, data, and predictive modeling
                    • You are committed to quality in everything you do – statistically, process and governance wise
                    • You look forward to sharing your insights through high-quality verbal & written communications
                    • You are professional, motivated AND FUN. We mean it.
                    • +
                    +

                    +

                    Sample projects that you might work on include:

                    +
                    • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                    • Prepare attribution and/or stock-flow analysis of product portfolios
                    • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                    • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                    • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                    • Identify, promote and lead process improvements for model development and monitoring
                    • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                    • +
                    +

                    +

                    What Do You Need to Succeed?
                    General

                    +
                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                    • A demonstrated history of analytic problem solving and sound judgment
                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                    • +
                    +

                    +

                    Technical

                    +
                    • Strong fundamental understanding of statistics
                    • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                    • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                    • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                    • Knowledge about credit risk models / scorecards
                    • +
                    +

                    +

                    Nice to Have’s

                    +
                    • Proficient reading, writing and speaking Spanish
                    • Experience with credit risk forecasting and/or financial reporting frameworks
                    • Experience developing credit risk models / scorecards
                    • Experience working within regulatory capital, loss forecasting, provisioning, IFRS 9 or CECL frameworks
                    • Domain expertise with any retail & small business banking products and/or risk management practices
                    • FRM, CFA credentials
                    • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                    • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                    • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                    • +
                    +

                    +

                    What’s in It for You?

                    +
                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                    • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/579945317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-29T16:33:02.311Z,False,0,3,101,https://talenthub.vectorinstitute.ai/jobs/317484206-manager-model-development-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/579945317/,expired,2024-04-11T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c1773e9a-6266-49ad-ae0f-84d09ae48a2a,319468685,Shopify Inc.,"Staff Data Engineer, Multiple Teams",on_site,"Ontario, Canada",2024-04-23T01:36:02.258Z,"
                    +
                    +
                    Back
                    +

                    Staff Data Engineer, Multiple Teams

                    + +
                    Apply Now
                    +

                    About Shopify

                    +
                    +

                    Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                    This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                    +
                    +
                    +
                    +
                    +

                    About you

                    +
                    +

                    Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                    +Before you apply, consider if you can:
                      +
                    • Care deeply about what you do and about making commerce better for everyone
                    • +
                    • Excel by seeking professional and personal hypergrowth
                    • +
                    • Keep up with an unrelenting pace (the week, not the quarter)
                    • +
                    • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                    • +
                    • Bring critical thought and opinion
                    • +
                    • Embrace differences and disagreement to get shit done and move forward
                    • +
                    • Work digital-first for your daily work
                    • +
                    +
                    +
                    +
                    +
                    +Shopifyhttps://www.shopify.com +
                    +
                    +

                    About the role

                    +
                    +

                    About the role

                    +

                    Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

                    +

                    As a Data Engineer at Shopify, your primary responsibility will be to contribute to Shopify’s Data Warehouse, while unlocking powerful insights to guide the development and improvement of Shopify’s products. You\'ll operate as either an either an embedded capacity or on a central Data Engineering team at Shopify as part of the Data Insights organization (exclusive of Data Platform Engineering which is part of our Infrastructure organization).

                    +

                    As an embedded Data Engineer, you will work directly on building foundations for products that transform merchants\' lives. You\'ll collaborate with a multidisciplinary team of professionals that can include Product Data Scientists, Machine Learning Engineers, Business Analysts, and Product Management. The data you shape will be used to power product analysis, dashboards, and reports, as well as your own product analysis, dashboard and report creation from time to time. Our product is designed to empower entrepreneurs and thus your work creates value for users, and contributes to global entrepreneurship.

                    +

                    As a central Data Engineer, you will sit amongst a team of Data Engineers focused on defining and up-leveling the craft and product of Data Engineering across all of Shopify. Your impact is seen at scale when you ship high quality data assets to Shopify’s Data Warehouse, which is used by thousands of people to perform product analysis, make decisions to support our merchants, and steer strategic decisions of the business. You also achieve with others as you partner with Data Engineers embedded in product teams to share and gather standards and best practices, and perform data architecture duties to up-level and maintain the high quality of Data Engineering at Shopify.

                    +

                    To thrive in either role, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                    +

                    Example day-to-day responsibilities include:

                    +
                      +
                    • Designing, building, implementing, and documenting data models

                    • +
                    • Working with business partners to understand business and product objectives, identify the data needed to support them, while influencing product and program decisions

                    • +
                    • Writing data transformations using dbt or Spark

                    • +
                    • Shipping data pipelines including real-time streaming and batch processing

                    • +
                    • Optimizing data transformation pipelines to increase freshness or reduce computational time/cost

                    • +
                    • Collaborating with other data engineers on tooling for automated tasks around consuming, validating raw/modeled data, updating modeled data

                    • +
                    • Collaborating with sister disciplines (Engineering, Data Science) to establish best practices and evangelize the values and priorities of the Data Engineering craft

                    • +
                    • Building production-quality dashboards and scalable data products

                    • +
                    • Debating whether leading or trailing commas are better

                    • +
                    • Fixing jobs that are broken in production (wrong data types returned, granularity not as expected, resourcing issues)

                    • +
                    +
                    +
                    +
                    +
                    +

                    Qualifications

                    +
                    +
                      +
                    • Proven ability to provide leadership and guidance beyond one-on-one mentorship, and the ability to improve data engineering practices across teams
                    • +
                    • Expert in data architecture and modeling concepts, and able to influence others to up-level the craft of Data Engineering

                    • +
                    • Experience forging alignment with senior stakeholders on technical direction for ambiguous problem areas

                    • +
                    • Commercial experience in Data Engineering, and/or Analytics Engineering, ​​​​​​building scalable data warehouses

                    • +
                    • Dimensional Modeling (Star Schema, Kimball, Inmon)

                    • +
                    • Advanced SQL skills (ease with window functions, defining UDFs)

                    • +
                    • Exposure to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers

                    • +
                    • Hands-on experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements

                    • +
                    • Fantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams

                    • +
                    • High proficiency for product analysis, dashboarding, and reporting

                    • +
                    +
                    +

                    We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We look forward to hearing your response to the prompt associated with your application!

                    #LI-KO3 #LI-REMOTE #LI-AH1

                    +

                    Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                    +

                    At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                    +
                    +
                    +
                    +
                    +

                    We hire people, not resumes. If you think you’re right for the role, apply now.

                    Apply Now
                    No matching Engineering or Data role? Leave us your contact information and we\'ll be in touch if a role comes up which matches your skillset.
                    +
                    +

                    First things first

                    +
                    +
                    We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
                    +
                    +
                    I am always seeking (often uncomfortable) growth and deepening my craft expertise
                    +
                    I thrive on change in an ambiguous environment and can keep pace to ship weekly
                    +
                    I want to work remotely for my daily work
                    +
                    +

                    It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                    Submit
                    +

                    Application

                    +
                    +
                    +

                    Personal Information

                    +

                    *Required

                    +
                    +
                      +
                    • First name*

                    • +
                    • Last name*

                    • +
                    • Email*

                    • +
                    • +
                      +

                      City*

                      +
                      +
                      +

                      Country*

                      AfghanistanAlbaniaAlgeriaAndorraAngolaAnguillaAntigua & BarbudaArgentinaArmeniaArubaAscension IslandAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia & HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBritish Virgin IslandsBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCaribbean NetherlandsCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongo - BrazzavilleCongo - KinshasaCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d’IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard & McDonald IslandsHondurasHong Kong SARHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacao SARMadagascarMalawiMalaysiaMaldivesMaliMaltaMartiniqueMauritaniaMauritiusMayotteMexicoMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmar (Burma)NamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth KoreaNorth MacedoniaNorwayOmanPakistanPalestinian TerritoriesPanamaPapua New GuineaParaguayPeruPhilippinesPitcairn IslandsPolandPortugalQatarRomaniaRussiaRwandaRéunionSamoaSan MarinoSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia & South Sandwich IslandsSouth KoreaSouth SudanSpainSri LankaSt. BarthélemySt. HelenaSt. Kitts & NevisSt. LuciaSt. MartinSt. Pierre & MiquelonSt. Vincent & GrenadinesSudanSurinameSvalbard & Jan MayenSwedenSwitzerlandSyriaSão Tomé & PríncipeTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad & TobagoTristan da CunhaTunisiaTurkeyTurkmenistanTurks & Caicos IslandsTuvaluU.S. Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWallis & FutunaWestern SaharaYemenZambiaZimbabweÅland Islands
                      + +
                      +
                    • +
                    +

                    Experience

                    +
                      +
                    • Resume (Max. 2MB)*

                    • +
                    • +
                      +

                      LinkedIn

                      +
                      +
                      +

                      Website

                      +
                      +
                    • +
                    • Message to Hiring Manager

                    • +
                    +
                      +
                    • +
                      Are you currently based in the US or Canada and plan to work from one of these two countries?* +
                      +
                      YesNo
                      +
                    • +
                    • +
                      Which statement best fits your experience on projects:a) I haven\'t led a project yet, but I\'ve been part of a team where I observed how the lead managed the project. I contributed to the tasks assigned to me and learned from the process.b) I\'ve led a small project or a part of a larger project. I was responsible for coordinating with a few team members, ensuring tasks were completed on time, and communicating progress to the project lead.c) I\'ve led several projects, coordinating with multiple team members and stakeholders. I was responsible for the project\'s success, making key decisions, and ensuring the team was working effectively towards our goals.d) I\'ve led complex, high-stakes projects involving multiple teams or departments. I was responsible for strategic decision-making, managing risks, and ensuring alignment with the organization\'s goals.* +
                      +
                      +A) best describes my project experienceB) best describes my project experienceC) best describes my project experienceD) best describes my project experience
                      +
                    • +
                    • +
                      Please select the answer that best describes your approach to mentorship:a) I\'m still learning the ropes, so I tend to focus more on absorbing knowledge from my seniors rather than mentoring others.b) I\'m comfortable with my skills and can help others with similar or less experience, but I still rely on more experienced engineers for complex problems.c) I actively mentor less experienced engineers like interns & mid-level engineers, sharing my knowledge and providing guidance on a regular basis. I\'m confident in my ability to solve complex problems and often lead team discussions.d) I not only mentor individuals on my team, but I also promote a culture of learning and growth within the organization. I\'m often consulted on high-level decisions due to my extensive experience and knowledge.* +
                      +
                      +A) Best describes my approach to mentorshipB) Best describes my approach to mentorshipC) Best describes my approach to mentorshipD) Best describes my approach to mentorship
                      +
                    • +
                    • +
                      Please select the statement that best describes your experience with data architecture and modeling concepts in your current or previous roles.a) I have contributed to building data models within a data warehouse, working on specific aspects with a clear and defined scope. While I haven\'t participated in direct technical decisions, I have gained valuable experience by implementing these models and collaborating with team members on data architecture tasks.b) I\'ve actively contributed to and led data modeling and design within a data warehouse. I have demonstrated critical thinking and opinion in data engineering endeavors, evaluating trade-offs of various technical decisions and collaborating effectively with stakeholders to achieve project objectives.c) I have taken the lead in the data modeling and design for complex concepts within a data warehouse framework, leveraging my skills to enhance data structures and ensure scalability, while considering trade-offs in technical decisions and engaging with stakeholders to align project goals.d) I regularly take the lead in the design and modeling of complex, large-scale data warehouse systems, demonstrating expertise in data modeling, as well as various Data Engineering tooling for ingestion, transformation, and orchestration. I have mentored team members on data architecture concepts, influencing them to excel in the field of Data Engineering while fostering* +
                      +
                      +A) Best describes my experience with data architecture and modeling conceptsB) Best describes my experience with data architecture and modeling conceptsC) Best describes my experience with data architecture and modeling conceptsD) Best describes my experience with data architecture and modeling concepts
                      +
                    • +
                    • +
                      As a Data Engineer, please select which area would you prioritize for your main focus, aligning with your expertise and interest.a) I\'d like to spend the majority of my time as a data engineer working on tasks such as bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.b) I\'d like to spend the majority of my time as a data engineer building tooling and frameworks crucial for data processing and exposure, creating custom software toenhance developer experience within data warehouses.c) I\'d like to spend the majority of my time as a data engineer focusing on data modeling, incorporating intricate business logic, and constructing a robust data warehouse.d) I’d like to spend the majority of my time as a data engineer focused on building streaming data pipelines, delivering real-time data transport solutions.e) I\'d like to spend the majority of my time as a data engineer focusing on data science and analytics, constructing data marts for in-depth data analysis, and collaborating closely with business users to communicate actionable insights. ""* +
                      +
                      +A) Best describes where I\'d like to prioritize my main focusB) Best describes where I\'d like to prioritize my main focusC) Best describes where I\'d like to prioritize my main focusD) Best describes where I\'d like to prioritize my main focusE) Best describes where I\'d like to prioritize my main focus
                      +
                    • +
                    +
                    +
                    By checking this box, you will declare that you read and understand the privacy policy of Shopify.
                    +* +
                    +
                    +
                    +
                    +
                    ",,https://www.shopify.com/careers/staff-data-engineer--multiple-teams-_410ec0de-b61c-4e47-a07c-12059783f413,feed-importer@jobboard.io,,,,2024-04-29T20:16:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/319468685-staff-data-engineer-multiple-teams-at-shopify-inc,,expired,2024-04-23T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, +38246259-a2c4-4553-b9ac-2cc0cc73d125,317504326,Google,"Field Solutions Developer IV, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-04-11T19:40:54.553Z,"
                    +
                    +

                    Field Solutions Developer IV, Generative AI, Google Cloud

                    +
                    +
                    +
                    +
                    +share +
                    +
                      +
                    • +linkCopy link +
                    • +
                    • +emailEmail a friend +
                    • +
                    +
                    +
                    +
                    +
                    +corporate_fareGoogleplaceToronto, ON, Canada; Atlanta, GA, USA; +12 more; +11 more
                    +
                    +
                    +
                    +bar_chartAdvanced +
                    +
                    +

                    Advanced

                    +
                    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
                    +
                    +
                    +
                    +
                    +
                    +Apply
                    +
                    +
                    +
                    +
                    +
                    +share +
                    +
                      +
                    • +linkCopy link +
                    • +
                    • +emailEmail a friend +
                    • +
                    +
                    +
                    +
                    +
                    +
                    +
                    +
                    info_outline
                    +XInfo For US Applcants Only:This role may also be located in our Playa Vista, CA campus.The application window will be open until at least April 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

                    For US Applcants Only:

                    +

                    This role may also be located in our Playa Vista, CA campus.

                    +

                    The application window will be open until at least April 16, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
                    +
                    + +
                    +

                    Minimum qualifications:

                    + +

                    Preferred qualifications:

                    + +
                    +
                    +

                    About the job

                    +

                    As a Generative AI Field Solutions Developer, you will support Google Cloud sales organization. You will be responsible to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clients ranging from early stage startups to prominent companies.

                    +

                    In this role, you will leverage the latest Generative AI technologies to develop innovative solutions. You will showcase the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will collaborate with our Product team to eliminate obstacles and shape the future path of our offerings.

                    +

                    Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    +

                    For US Applicants Only:

                    +

                    The US base salary range for this full-time position is $221,000-$314,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                    +
                    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
                    +
                    +
                    +

                    Responsibilities

                    + +
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    +

                    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                    +

                    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    +

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                    +

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    +
                    +
                    ",,https://www.google.com/about/careers/applications/jobs/results/121091392978985670-field-solutions-developer-iv-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-05-02T19:10:00.000Z,False,0,2,124,https://talenthub.vectorinstitute.ai/jobs/317504326-field-solutions-developer-iv-generative-ai-google-cloud-at-google,,expired,2024-04-11T19:40:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +07189ec7-953f-4532-a536-1babb138d162,315520735,Scotiabank,Manager Treasury Risk,on_site,Canada : Ontario : Toronto,2024-04-01T16:26:04.041Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 196333

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The manager in TFRM International team is primary focused on providing structural, liquidity, and market risk oversight for Scotiabank's operations in Latin America and Caribbean units, ensuring all positions and their inherent key risks are properly identified, quantified, monitored, and reported.

                    +

                    +

                    This role has regular exposure to Senior Management across different areas and jurisdictions, working in a collaborative team environment to discuss and provide recommendations on market risk related issues in the region; written and oral presentations are done on a regular basis to Senior Level Executives. The manager will also assess business proposals on the appropriate risk frameworks in line with Scotiabank's standards and policies.

                    +

                    +

                    Conceptualize, develop, and deploy value-added analytical tools and data visualization solutions (ad-hoc reports & dashboards in Tableau, Power BI, etc.) to assist treasury activities around structural interest rate risk and liquidity management.

                    +

                    +

                    Other related activities include, collecting and assessing data from various sources, assessing data quality, ensuring information integrity, using statistical and analytical software, such as VB Excel, R, or Python.

                    +

                    Job Responsibilities:

                    +

                    +
                    • Business Relationship: Develop effective relationships with business lines that foster awareness of the Bank's risk framework, driving agile implementation of value-added initiatives.

                    • Market Intelligence/Analysis: Maintain regular dialogue with business lines and control functions with respect to market developments and risk matters, including changes in risk profile and P&L drivers. Monitor international financial markets/events, identify new trends and summarize new regulatory requirements.

                    • Responding to Requests/Events: Facilitate effective risk-reward decisions by providing an opinion on business initiatives, including calibrating risk limits in alignment with the Bank's risk appetite framework.

                    • Report Effectiveness: Run daily processes within deadlines (e.g., reports, analysis, etc.) and identify process improvement opportunities. Contribute to the testing and development of new tools to automate risk processes across different jurisdictions.

                    • Communication: Distilling relevant daily risk/market information into highlights, ensuring material issues are informed to stakeholders.

                    • Team player: Work effectively with other team members and/or stakeholders with emphasis on getting things done through active participation and collaboration.

                    • Proactivity: Self-initiated behavior that endeavors to propose and execute solutions to daily challenges and tasks.

                    • +
                    +

                    Job Requirements:

                    +

                    +
                    • Quantitative Undergraduate (e.g., Economics, Finance, Mathematics, Statistics, Engineering, etc.) with a master’s degree (e.g., MSc, Master of Finance, Master of Risk Management, etc.).

                    • FRM and/or CFA certifications are an asset.

                    • Proficiency using programming languages and data management software, including Python, R, SQL, Visual Basic, etc.

                    • Strong technical knowledge and work experience in data visualization tools (i.e., Tableau, Power BI).

                    • Knowledge of market risk management processes and metrics.

                    • Knowledge of Spanish is an asset.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-ON-M5H-0B4/579655417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-01T18:18:36.243Z,False,0,3,96,https://talenthub.vectorinstitute.ai/jobs/315520735-manager-treasury-risk-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-ON-M5H-0B4/579655417/,expired,2024-04-01T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +ac4f2769-62fa-4f71-9241-8871723d11e5,319459853,BMO Financial Group,Senior Manager - Model Acceleration Platform,on_site,"Ontario, Canada",2024-04-23T01:06:02.184Z,"
                    +

                    Application Deadline:

                    04/29/2024

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    +

                    Key Responsibilities Include:

                    + +

                    +

                    Qualifications:

                    + +

                    +

                    If you’re looking for your next dream job, consider this one in BMO’s Enterprise Risk Group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

                    +

                    +

                    +

                    Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                    + +

                    +

                    Qualifications:

                    +

                    Intermediate level of proficiency:

                    + +

                    Advanced level of proficiency:

                    + +
                    +

                    +

                    Compensation and Benefits:

                    +
                    $100,800.00 - $187,200.00

                    +

                    Pay Type:

                    Salaried

                    +

                    The above represents BMO Financial Group’s pay range and type.

                    +

                    +

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    +

                    +

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager---Model-Acceleration-Platform_R240004735-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-02T19:12:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/319459853-senior-manager-model-acceleration-platform-at-bmo-financial-group,,expired,2024-04-23T01:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e5985099-8647-449d-93a6-597f58a8c63c,315946825,Borealis AI,Machine Learning Researcher - Fall 2024 Internship,hybrid,"Toronto, ON, Canada",2024-04-02T23:06:06.146Z,"

                    About Borealis AI

                    +

                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 85+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its four labs in Canada.

                    +

                    +

                    We offer a hybrid working model with our internship program. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                    +

                    +

                    Internship opportunities are available in the following areas:
                    - AutoML
                    - Bayesian Optimization
                    - Computer Vision
                    - Deep Learning
                    - Graphs & Optimization
                    - Interpretability & Explainability
                    - Natural Language Processing
                    - Privacy & Fairness
                    - Reinforcement Learning
                    - Time Series Forecasting
                    - Unsupervised and Semi-supervised Learning

                    +


                    +

                    You’re our ideal candidate if you have:
                    - Ability to implement state-of-the-art machine learning techniques
                    - High motivation to solve challenging research problems
                    - Passion for data, algorithms, and statistics
                    - Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                    - Previous publications at a top-tier AI conference
                    - Experience with writing modular, robust, scalable software in Python
                    - Familiarity with the Unix command line and bash scripting
                    - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                    - A deep understanding of machine learning algorithms and/or statistical modeling

                    +

                    +

                    Internship duration: 4 months (September — 
December 2024)

                    +

                    Application deadline: May 14, 2024

                    +

                    How to apply: Complete the online application and submit your
                    resume at: 
https://www.borealisai.com/internship-application/

                    For any questions and enquiries, please contact: mi.research@borealisai.com

                    +


                    Inclusion and Equal Opportunity Statement:
                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    ",,https://www.borealisai.com/internship-application/,huyen.mori@borealisai.com,https://www.borealisai.com,,,2024-05-04T16:10:54.972Z,False,0,48,257,https://talenthub.vectorinstitute.ai/jobs/315946825-machine-learning-researcher-fall-2024-internship-at-borealis-ai,,expired,2024-04-02T23:06:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +ddbc7da6-2d0b-4ffe-b563-772c4436ffda,321009097,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2024,on_site,Canada : Ontario : Toronto,2024-05-02T16:28:03.546Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 198162

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: September 2024 – December 2024
                    Application Deadline: May 24th, 2024

                    +

                    +

                    Ready to Start your Journey with Scotiabank? Apply Now!

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                    +

                    +

                    Please follow the steps below to successfully apply:

                    +

                    +

                    Step 1: Complete your PLUM Profile here and save as a screenshot.

                    +

                    Step 2: Complete a short one-way video interview here.

                    +

                    Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                    +

                    Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                    +

                    +

                    Note: The one-way video interview & codility assessment for all our Velocity Technology Fall 2024 Internship applications are the same. You only need to complete this one!

                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions

                    • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling

                    • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model

                    • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes

                    • Prepare detailed documentation to outline data sources, models, and algorithms used and developed

                    • Present results to business line stakeholders and help implement real data-driven changes

                    • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes

                    • Experiment & learn!

                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.

                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                    • You have knowledge/experience in:

                    • +
                    +
                    1. Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)

                    2. +
                    +
                    1. Big Data/Cloud ecosystem (e.g., GCP)

                    2. +
                    +
                    1. Experimental design, statistical analysis, machine learning

                    2. +
                    +
                    1. Python programming

                    2. +
                    +
                    1. Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)

                    2. +
                    +
                    1. UNIX tools and shell scripting

                    2. +
                    +
                    1. SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)

                    2. +
                    +
                    1. Visualization tools like PowerBI

                    2. +
                    +
                    1. Kubernetes

                    2. +
                    +
                    1. Git Workflows (Pull Request, Code Review, Branching)

                    2. +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2024-ON/580498817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-20T16:33:04.852Z,False,0,10,127,https://talenthub.vectorinstitute.ai/jobs/321009097-velocity-data-scientist-internship-co-op-fall-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2024-ON/580498817/,expired,2024-05-02T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +6e61cc55-de7f-46fd-8cec-46d309d4325a,323040680,CIBC,"Sr. Consultant, TPGO Business Intelligence",on_site,"Ontario, Canada",2024-05-14T01:05:03.245Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    +
                    +

                    What you’ll be doing

                    +
                    +

                    As a member of the Third Party Governance Office (TPGO), the Senior Consultant, TPGO Business Intelligence plays a critical role for leading initiatives to make complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes.  Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote

                    +
                    +
                    +

                    +

                    How you’ll succeed

                    +
                    +
                      +
                    • Focus on Innovation and Simplification. Strive for continual enhancement of data quality and contribute to system and governance process simplification.

                    • +
                    • Data Analysis. Working with business partners, conduct business analysis, documentation and development of complex business requirements to deliver high quality solutions, through the existing infrastructure framework related to data ingestion, transformation, calculation, and reporting of risk related metrics in an impactful way.

                    • +
                    • Technical / Data Modelling Skills. Prior experience in finding meaningful insights and design intuitive visualizations is beneficial.  A background in data design will be an asset.

                    • +
                    • Curious and Creative. We are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive.

                    • +
                    • Stay Current with Best Practices. Our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics.

                    • +
                    +

                    +

                    Who you are

                    +
                      +
                    • You have demonstrated experience in: Data Analysis tools (Alteryx; SQL; Microsoft Power BI; Advanced Microsoft Excel). You have a minimum of 5 years of relevant experience in Data Analytics and/or Risk Management within Financial Services. It is an asset if you have strong knowledge in Tableau / Python / and JavaScript.

                    • +
                    • You have a degree/diploma in: Computer Science, Mathematics, Engineering and/or a related field of study.

                    • +
                    • You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                    • +
                    • You embrace and champion change. You’ll continuously evolve your thinking and the way you work in order to deliver your best.

                    • +
                    • You’re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create shared vision.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • +
                    +
                    +

                    +

                    What CIBC Offers

                    +

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    + +

                    +

                    *Subject to plan and program terms and conditions

                    +

                    +

                    What you need to know

                    + +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-81 Bay, 19th Floor

                    +

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    +

                    Skills

                    Data Analysis, Data Reporting, Data Visualization, Risk Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--TPGO-Business-Intelligence-_2410656?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-21T01:10:03.300Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/323040680-sr-consultant-tpgo-business-intelligence-at-cibc,,expired,2024-05-14T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ab6ea8a4-accd-4b8e-95fc-90f9be46be97,319369991,Cohere AI,"Manager of Technical Staff, Search",on_site,"Toronto, ON, Canada",2024-04-22T16:38:01.680Z,"
                    +
                    Who are we?
                    +
                    Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                    +

                    +
                    We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                    +

                    +
                    Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                    +

                    +
                    Join us on our mission and shape the future!
                    +

                    +
                    Why this role?
                    +
                    We are looking for talented individual to help us lead a team within our Search org that develops state-of-the-art models for information retrieval. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.
                    +

                    +
                    Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.
                    +

                    +
                    We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.
                    +

                    +
                    +

                    As a Manager of Technical Staff on this team, you will:

                    + +
                    +

                    You may be a good fit if you have:

                    + +
                    +
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                    +

                    +
                    We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                    +

                    +
                    Our Perks:
                    +
                    🤝 An open and inclusive culture and work environment
                    +
                    🧑‍💻 Work closely with a team on the cutting edge of AI research
                    +
                    🍽 Weekly lunch stipend, in-office lunches & snacks
                    +
                    🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                    +
                    🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                    +
                    🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                    +
                    🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                    +
                    ✈️ 6 weeks of vacation
                    +

                    +
                    Note: This post is co-authored by both Cohere humans and Cohere technology.
                    +
                    ",,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,feed-importer@jobboard.io,,,,2024-05-22T16:57:56.519Z,False,0,5,60,https://talenthub.vectorinstitute.ai/jobs/319369991-manager-of-technical-staff-search-at-cohere-ai,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,expired,2024-04-22T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, +06a82330-c586-4778-9b62-b8c36ee46d5a,323636763,Sun Life Financial,"Senior Data Analyst, Client Experience Insights - (Fixed Term)",on_site,"Ontario, Canada",2024-05-17T01:34:01.923Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +
                    +
                    +

                    This is a 12-months contract position.

                    +

                    +

                    Are you a passionate analytics professional looking to leverage your talents to improve the client experience at a major Canadian company? Do you love matching front end to back-end data to understand client journeys and what behaviours lead to what outcomes? If so, Sun Life is looking for a Senior Data Analyst, Client Experience Insights and this might be the next role to develop your analytics career.

                    +
                    +

                    +

                    Reporting to the Manager, Data Analytics, the Senior Data Analyst will support the CXO Marketing & Journey Analytics teams in their journeys to become more data savvy. The role will focus on leveraging integrated data from various sources to help stakeholders make key decisions, drive client-centric value and increase our client index scores. You will help the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance and merging front end survey and web data to back-end sales data.  

                    +

                    +

                    What will you do?

                    +

                    +
                      +
                    • Support analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems. Be the analytic resource for the Marketing & Journey Analytics teams

                    • +
                    • Deliver actionable insights that are easy to interpret and rich with information

                    • +
                    • Merge front end survey and web analytics data with back-end source data to highlight our client journeys from beginning to end

                    • +
                    • Draw out business insights from analytical output and work with team leads to put together business recommendations

                    • +
                    • Put together effective presentations of findings and desire to present to multiple levels of stakeholders

                    • +
                    • Automate recurring tasks to free up capacity. Find efficient ways of working

                    • +
                    +
                    +
                    +
                      +
                    • Leverage internal training, peers and other sources to continue to grow capabilities

                    • +
                    • An active contributing member to the analytics academy to help foster and grow the data science community at Sun Life

                    • +
                    +

                    +

                    What will you need to succeed?

                    +

                    +
                      +
                    • 5+ years working with data (i.e., quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports)

                    • +
                    • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                    • +
                    • Expert using Python/PySpark to work with data, with the flexibility to use both languages as we transition from one to the other

                    • +
                    • Experience with AWS Stack, especially with S3, Glue, Athena, Trino and with BI tools like Tableau and Quick sight.

                    • +
                    • Experience with Adobe analytics or the ability to self-learn these tools in role

                    • +
                    • An effective and concise oral and written storytelling and communication skills

                    • +
                    • Ability to work as a team to help deliver multiple projects with courage in managing expectations of team leaders

                    • +
                    • Ability to document work

                    • +
                    • BSc in statistical, mathematical, or technical field (i.e., computer science), Bachelors in Analytics or MMA

                    • +
                    +

                    +

                    What will be nice to have?

                    +

                    +
                      +
                    • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, re-insurance and casualty insurance)

                    • +
                    • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, deep learning etc.)

                    • +
                    • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)

                    • +
                    +
                    +
                    +
                    • Experience working with unstructured data

                    +

                    +

                    Unique Requirements

                    +

                    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                    +

                    +

                    Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    +

                    +

                    What is in it for you?

                    +
                      +
                    • Competitive salary and bonus structure influenced by market range data

                    • +
                    • Entitlement to flexible benefits, pension, stocks, savings and 4 weeks vacation

                    • +
                    • A friendly, collaborative and inclusive culture

                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • +
                    +

                    +
                    +

                    +

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    +

                    Salary Range:

                    76,000/76 000 - 125,000/125 000

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    23/05/2024
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst--Client-Experience-Insights_JR00094042?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-05-24T15:56:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/323636763-senior-data-analyst-client-experience-insights-fixed-term-at-sun-life-financial,,expired,2024-05-17T01:34:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +67f407d1-2709-4362-a35d-727b9d6d069d,319465893,Borealis AI,"Director, Engineering",on_site,"Ontario, Canada",2024-04-23T01:29:01.618Z,"
                    +

                    What\'s the opportunity?

                    +

                    We’re looking for a senior engineering leader who will work at the forefront of machine learning technology to solve challenging problems and deliver solutions that generate significant value and impact for Borealis AI and RBC. In this role, you will report to the Head of Engineering and manage a team of Engineering Managers and Engineers involved in multiple ML projects, across multiple locations. You will support those projects through their entire lifecycle: from discovery and research experimentation, through to implementing applications and solutions, and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work with other senior managers in engineering and across Borealis AI to deliver value and impact and help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.Your responsibilities include:

                    +

                    Your Responsibilities Include:

                    +

                    Project Leadership

                    +
                    +

                    Functional Management

                    +
                    + +

                    You\'re our ideal candidate if you have:

                    +
                    +
                      +
                    • 15+ years experience with software development and delivery;
                    • +
                    • 8+ years experience managing engineering teams, including experience managing managers;
                    • +
                    • Experience working collaboratively with business, research, product and other technical teams;
                    • +
                    • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices;
                    • +
                    • Led the full lifecycle of software product development including the successful deployment of products to production;
                    • +
                    • Experience working in an agile, matrix environment, including managing team members across multiple different projects;
                    • +
                    • Experience managing hybrid/remote teams and promoting an excellent employee experience regardless of where employees are located;
                    • +
                    • Experience in machine learning or a related field;
                    • +
                    • Experience with financial services and enterprise software.
                    • +
                    +

                    What\'s in it for you?

                    +
                    +
                      +
                    • Be part of a dynamic & flexible working environment;
                    • +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

                    +

                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +
                    +
                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=7207947002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-05-25T20:04:29.088Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/319465893-director-engineering-at-borealis-ai,,expired,2024-04-23T01:29:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +799666d3-9fa3-4993-82a2-112ba1b3f31a,327488016,Google,"Software Developer III, Site Reliability Development, Google Cloud",on_site,"Toronto, ON, Canada",2024-06-07T01:14:02.258Z,"
                    +
                    +

                    Minimum qualifications:
                    +

                    +
                    +
                    + +

                    Preferred qualifications:

                    + +
                    +
                    +

                    About the job

                    Site Reliability Development combines software and systems development to build and run large-scale, massively distributed, fault-tolerant systems. Site Reliability Development ensures that Google Cloud\'s services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer\'s needs and a fast rate of improvement. Additionally Site Reliability Developers will keep an ever-watchful eye on our systems capacity and performance.

                    Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the Site Reliability Development team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. Site Reliability Developments culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

                    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
                    +
                    +

                    Responsibilities

                    + +
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    +

                    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                    +

                    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    +

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                    +

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    +
                    +
                    ",,https://www.google.com/about/careers/applications/jobs/results/108357684817732294-software-developer-iii-site-reliability-development-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-27T11:24:03.349Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/327488016-software-developer-iii-site-reliability-development-google-cloud-at-google,,expired,2024-06-07T01:14:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +7fd3ad6b-d8ea-413d-83c8-7cae0c23f8da,327936951,Scotiabank,"Senior Manager, Funds Risk Management - Structured Products Risk Analytics",on_site,Canada : Ontario : Toronto,2024-06-09T16:28:01.616Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 198944

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Funds Risk Management (FRM) - Structured Products Risk Analytics is liable for counterparty credit risk (CCR) analytics and market risk oversight for the Bank's Credit TRS portfolio, CLO warehousing and other credit derivatives related business. The team works closely with the Credit Derivatives Sales & Trading and Origination groups, Hedge Fund Credit, GWO, Product Control and Market Risk Measurement (MRM).

                    +

                    +

                    Job Responsibilities:

                    +

                    +
                    • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    • Counterparty Credit Risk – Provide oversight of the covered businesses from a margin sufficiency perspective and provide recommendations on margin adjustments where required. Lead the development of the analytical tools required to assist the bank’s CCR management capabilities.

                    • Market Risk – Oversee market risk exposures for covered businesses and socialize to Senior Risk Management, the business desk and Market Risk Management and Policy Committee (MRMPC) on trading risks, new developments, and market conditions. Ensure adherence with Bank’s risk appetite and the business mandate.

                    • Partnership with Trading – Engage trading groups in a proactive manner to promote open communication between risk and trading. Escalate trading issues and work effectively with the trading desk.

                    • New Deal, Product & Limit Adjudication – Management, review, and adjudication of new Credit TRS transactions as well as amendments on a timely basis. Make recommendations to MRMPC on new limit requests, including proposing new limits according to the Bank’s risk appetite.

                    • Data Analytics – Actively involved in deal structure stage to ensure the model run captures the deal terms accurately and the deal stays within bank’s risk appetite. Participate in extracting insight from risk and market data through analytic techniques and data visualization tools (e.g. Python and Tableau).

                    • Daily oversight of daily risk sensitivity monitoring, weekly risk measures and portfolio review, collateral management, non-disapproval of underlying assets and review of the RTDMS (comprehensive deal monitoring system) for Credit TRS transactions.

                    • Valuation – Ensure self-governing price verification is performed in accordance with policies and advice on appropriate valuation reserve adjustments in accordance with Bank’s policies. Assist in maintaining Official Rate Source Document (ORSD) and Valuation Reserve Summary (VRS) for covered products. Identify risk taking activities and valuation issues through oversight of daily P&L attribution analysis.

                    • Communication – Socialize regularly with Trade Floor Risk Management (TFRM) on trading activity, trading risk profile, trader sentiment and market developments in covered businesses.

                    • Collaborate with global TFRM teams to ensure there is consistency in risk management approach. Collaborate with Product Control, back office, MRM and other Bank stakeholders to achieve common objectives.

                    • Regulatory & Audit – Participate in external and internal audits and align resolution of findings and participate in key regulatory initiatives (e.g. FRTB, Volker).

                    • Other Risks--Manage the hedge fund Credit TRS portfolio according to policies/guidelines/limits established by the MRMPC. Highlight any issues or gaps which may give rise to market risk, counterparty credit risk, reputational risk, liquidity risk or operational risk.

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                    • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; informing vison/values/business strategy; and, managing succession and development planning for the team.

                    • +
                    +

                    +

                    Job Requirements:

                    +

                    +
                    • Quantitative Undergrad (eg. finance, mathematics, statistics, and engineering) plus Masters preferred. Progress towards or completion of CFA/FRM/PRM an asset.

                    • 4 years or more experience in counterparty credit risk or market risk management.

                    • Advanced computer skills (coding skills including VBA, Python, SQL and Unix shell scripts).

                    • Deep understanding of financial markets, risk analysis and derivatives valuation. Working knowledge of high yield loan and bond markets is an asset.

                    • Strong knowledge of/experience with traded products and ISDA documentation ideally related to Credit Derivatives

                    • Excellent written and verbal communication.

                    • Ability to work in a fast paced environment and to multi-task and prioritize appropriately.

                    • Exceptional problem-solving skills.

                    • Great team player with strong personal skills.

                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Funds-Risk-Management-Structured-Products-Risk-Analytics-ON-M5H-0B4/580820817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-27T16:33:03.450Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/327936951-senior-manager-funds-risk-management-structured-products-risk-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Funds-Risk-Management-Structured-Products-Risk-Analytics-ON-M5H-0B4/580820817/,expired,2024-06-09T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +daf2a564-4c72-4123-8f7f-1260587914cb,325835711,BMO Financial Group,"Manager, Climate Risk Reporting",on_site,"Ontario, Canada",2024-05-28T01:07:02.062Z,"
                    +

                    Application Deadline:

                    07/19/2024

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    + +
                    +

                    +

                    Compensation and Benefits:

                    +
                    $68,000.00 - $126,000.00

                    +

                    Pay Type:

                    Salaried

                    +

                    The above represents BMO Financial Group’s pay range and type.

                    +

                    +

                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                    +

                    +

                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Climate-Risk-Reporting_R240013263?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-29T18:18:18.726Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/325835711-manager-climate-risk-reporting-at-bmo-financial-group,,expired,2024-05-28T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, 54b999f3-5866-4503-9ce9-c24af131754c,325835733,Google,"Research Scientist, Google Research",on_site,"Toronto, ON, Canada",2024-05-28T01:13:02.097Z,"

                    Research Scientist, Google Research

                    @@ -40897,178 +42854,125 @@ c21ba156-95ae-4b8f-9ea5-f493cb7bbb75,338743329,BMO Financial Group,Data Analytic

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Analytics-Developer---Fall-2024--Co-op-Internship----4-Months_R240021904-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-26T06:19:04.404Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/338743329-data-analytics-developer-fall-2024-co-op-internship-4-months-at-bmo-financial-group,,expired,2024-08-19T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -60b42c62-5247-4195-9301-eb49b7b0217a,323346145,Promise robotics,SME Talent Meetup: AI Software Developer with Promise Robotics,hybrid,"Toronto, ON, Canada",2024-05-15T15:58:01.451Z,"

                    Join us for an exclusive Talent Meetup event designed to connect students like you with Canada’s fast-growing AI startup and scale-up companies from Vector Institute. The event will take place on Friday, June 7, 2024, from 11 am to 2 pm at Vector’s office.

                    -

                    Please note the following job posting associated with this event, presented by participating employer, Promise Robotics

                    -

                    How to participate:

                    -

                    Step 1: Register here for the Talent Meetup event. (Limited spots)

                    -

                    Step 2: Complete the job application process. Please ensure to read the instructions carefully, as certain job postings require submission with responses to screening questions.

                    -

                    About Promise Robotics

                    -

                    We enable the building industry to harness AI and Robotics toward producing more affordable and sustainable housing.

                    -

                    Available job opportunities:

                    -
                    1. AI Software Developer - Full Time -
                    -


                    Pre-screening questions:

                    -

                    Please showcase your expertise and years of experience relevant to this role's required skills and experience as listed below.

                    -
                      -
                    1. Extensive experience in Python programming
                    2. -
                    3. Proficiency in machine learning frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.
                    4. -
                    5. Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)
                    6. -
                    7. Great problem solvers that take initiative & are self starters
                    8. -
                    9. Interested in general backend/algorithm software development as well and not solely AI.
                    10. -
                    -

                    Please email aitalent@vectorinstitute.ai with your responses to the pre-screening questions.

                    -

                    --------------------------------------------------------------------------------------------------------------------------------

                    -

                    Job Description:

                    -

                    Job Title: AI Software Developer

                    -

                    We’re looking for an AI Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. The ideal candidate will have a strong background in advanced algorithms and machine learning with hands-on experience in building and deploying AI systems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and optimize AI algorithms and systems that address real-world challenges in the construction industry.

                    -


                    You might be a good fit if you:

                    - -

                    What you'll do:

                    - -

                    What you'll need to succeed:

                    -",aitalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://promiserobotics.com/,,,2024-06-14T15:58:00.000Z,False,18,0,284,https://talenthub.vectorinstitute.ai/jobs/323346145-sme-talent-meetup-ai-software-developer-with-promise-robotics-at-promise-robotics,,expired,2024-05-15T15:58:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, -05ceaa5f-8495-426e-834e-a149ee1385b1,325526337,Borealis AI,Senior Research Engineer,on_site,"Ontario, Canada",2024-05-26T01:29:02.123Z,"
                    +85b8a925-17c2-4ab2-991b-ceb44faa2b5f,340695974,BELL CANADA,2025 Internship Program- Data Analytics & AI,on_site,"Ottawa, Ontario, Canada",2024-09-04T21:25:04.999Z,"

                    ​Req Id: 420056

                    +


                    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

                    +

                    +

                    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

                    +


                    Join us. You belong at Bell.

                    +

                    +

                    Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities.

                    +

                    +

                    At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

                    +

                    -

                    What’s the opportunity?

                    -

                    Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

                    -

                    Your responsibilities include:

                    -
                      -
                    • Delivering cutting edge AI solutions as a technical lead throughout the research and product development lifecycle;
                    • -
                    • Partnering with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products;
                    • -
                    • Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
                    • -
                    • Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI\'s products;
                    • -
                    • Supporting projects with thorough documentation, design decisions, and technical advisory.
                    • -
                    -

                    You\'re our ideal candidate if you have:

                    +
                    +
                    +

                    Why join us?

                    +
                    +
                      +
                    • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
                    • +
                    • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
                    • +
                    • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
                    • +
                    • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
                    • +
                    • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
                    • +
                    • Develop your technical and leadership skills through formal and experiential training programs.
                    • +
                    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
                    • +
                    +
                    +
                    +
                    +

                    What you’ll do

                    +
                    +
                    +

                    +

                    As an intern, you will support the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You’ll be a part of projects that expose you to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will include opportunities to offer insights that influence business decisions and technology investments across Bell.

                    +
                    +
                    +
                    +
                    +

                    What we’re looking for

                    +
                    +
                    +

                    +

                    Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here.

                    +

                      -
                    • Experience leading cross-functional machine learning research initiatives in product-centric environments;
                    • -
                    • Involvement across the research and product development lifecycle, from prototyping to production, and engaging with multiple stakeholders to develop solutions that meet business needs;
                    • -
                    • Proficient in Python, data science tooling, and deep learning frameworks;
                    • -
                    • Publication record in relevant top tier AI/ML conferences a plus;
                    • -
                    • Experience with NLP, LLMs, or financial services domain a plus.
                    • +
                    • Data Scientist
                    • +
                    • Data Analyst
                    • +
                    • Machine Learning Engineering
                    • +
                    • Data Engineering
                    -

                    What\'s in it for you?

                    +
                    +
                    +
                    +

                    Requirements

                    +
                    +
                    +

                    +

                    You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

                    +

                    +

                    Technical skills (you have some of the following)

                    +

                      -
                    • Be part of a dynamic & flexible working environment;
                    • -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Leaders who support your development through coaching and managing opportunities;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    • You can analyze, process, and visualize complex data quickly.
                    • +
                    • You have experience using SQL for data exploration and insights.
                    • +
                    • You have knowledge of data analytics theory, including statistical analysis and quantitative and qualitative modeling.
                    • +
                    • You are familiar with programming languages like Python, Scala, R, or similar.
                    • +
                    • Some knowledge of analytical tools such as Looker, Kibana, Tableau, and Microstrategy.
                    • +
                    • You have knowledge of machine learning and artificial intelligence concepts and their potential applications.
                    • +
                    • You are aware of Agile and CI/CD methodologies in software development.
                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

                    -

                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=7230212002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-06-13T17:42:00.000Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/325526337-senior-research-engineer-at-borealis-ai,,expired,2024-05-26T01:29:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -a8d1ad60-d1d0-466a-8e1e-eb785f1501c8,326132021,Canadian Tire Corporation,Sr Ops Rsrch & Data Scientist(12 Month Contract),on_site,"Ontario, Canada",2024-05-30T06:44:02.094Z,"
                    -
                    -
                    -

                    What you’ll do

                    -

                    -
                    -

                    As part of the growing and highly capable Logistics Decision Support & Analytics team, you will be tasked with absorbing millions of rows of data from a variety of sources, organizing them, visualizing them, and analyzing them to help inform both short- and long-term decision-making, tackle problems and derive insights. The team isn’t just making monthly reports or rerunning existing statistical models, it’s doing creative work in an empowering environment with each decision backed by data to support different areas of the customer journey. We need innovators and big thinkers passionate about data and re-imagining the future of retail.

                    -

                    -

                    The successful candidate will be passionate about seeing real world impact of analytics and have a solid understanding of scientific and business needs, as well as the areas of data science that can be transformative and impactful to the retail and eCommerce industry. If this sounds like you, apply today to experience what it’s like to be a part of Decision Support & Analytics at Canadian Tire.

                    -
                    -

                    -

                    In this role, you\'ll:

                    +
                    +
                    +

                    Leadership Skills

                    -
                    • Contribute to and help develop the analytical infrastructure and computational capabilities that drive decision making and impact the bottom line performance of the Supply Chain at Canadian Tire. By partnering with business leaders and leveraging company and industry data, this position\'s primary focus is to manipulate large datasets to extract meaningful business information using statistics and machine learning techniques.

                    -
                    • Develop mathematically based Decision Models to support improved strategic, operational, and tactical decision making.  You will develop innovative solutions using specialized Operational Research techniques and through interactive problem solving with Business Users. Most Models are mixed integer linear programs based on a modeling language called OPL/CPLEX and are designed to be integrated with custom-built external (SQL) data sources for use in both production and decision support environments. You would also be providing on-going support and enhancements to existing Models.

                    -

                    -

                    Major work elements include:

                      -
                    • Optimization Modeling - involves leading discussions with Business Users to determine/clarify Business Rules; evaluating data sources; building and testing Models; promoting Models to production; ensuring Models are properly documented

                    • -
                    • Identifying Additional Opportunities - determine where optimization can be used to improve business processes and decision making (e.g.  DC operations, Transportation effectiveness, Merchandising Planning processes); and documenting potential benefits

                    • -
                    • Other Mathematically Based Modeling - includes simulation and predictive modeling on an as required basis

                    • +
                    • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
                    • +
                    • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
                    • +
                    • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
                    • +
                    • You gain the trust of your teams, being known for demonstrating fairness and respect.
                    • +
                    • You promote belonging and are flexible, accountable and collaborative.
                    • +
                    • You are committed to growing your skills and learning from others.
                    -
                    -

                    -

                    Model-building Activities:

                    -
                      -
                    • Develop/Enhance Model

                    • -
                    • Create/Use project plans to ensure timely and successful completion

                    • -
                    • Identify/Validate Business Rules that drive Model design by working with Business Users to analyze and recommend approaches to handling the various trade-offs that are required in decision making

                    • -
                    • Analyze available data to establish inputs that support Models requirements using statistical analysis where necessary

                    • -
                    • Design database structure that feeds the Model

                    • -
                    • Build/Test decision Models by working interactively with Business Users to review business issues as they arise and determine approached to resolve them, ensuring model efficiency and establishing reasonable solution times and quality

                    • -
                    • Prepare/validate Model reports

                    • -
                    • Execute a model testing plan

                    • -
                    • Recommend/Run Model scenarios for evaluation

                    • -
                    • Review Model results with Business Users

                    • -
                    • Assist with integration testing for production applications

                    • -
                    • Prepare presentation material that communicates Model results

                    • -
                    • Create Model documentation to required standards

                    • -
                    +
                    +
                    +

                    Applying is simple

                    -
                    -

                    -

                    What you bring

                    +

                    Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

                    +

                    1. Review our programs and indicate up to three role choices in your application.
                    2. Complete your video interview within 48 hours.
                    3. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
                    4. If selected from previous step, you will be invited to a virtual panel interview.

                    +

                    +

                    Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

                    +

                    +

                    Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

                    -
                    -
                      -
                    • Post-secondary education preferably in Operations Research, Applied Math, Industrial Engineering, or Computer Science 

                    • -
                    • Minimum of Master’s in Applied Sciences or Operations Research 

                    • -
                    • Proficiency in operations research techniques (i.e. Mixed Integer Linear Programming based techniques)

                    • -
                    • Must have experience with CPLEX

                    • -
                    • Familiarity with SQL, Oracle. C#, .net, Python

                    • -
                    • Exposure to server-based technology

                    • -
                    • Ability to cultivate relationships with key stakeholders of varied levels

                    • -
                    • Excellent time management skills and ability to effectively manage conflicting priorities

                    • -
                    • Solid verbal and written communication skills with proven ability to effectively communicate proactively

                    • -
                    • Strong analytical and technical abilities, with an understanding of statistics

                    • -
                    • 2+ years of supply chain experience 

                    • -
                    -

                    -

                    We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                    -

                    -

                    -

                    -

                    About Us

                    -

                    -

                    Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                    -

                    -

                    Our Commitment to Diversity, Inclusion and Belonging

                    -

                    -

                    We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                    -

                    -

                    Accommodations

                    -

                    -

                    We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                    -

                    -
                    ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Sr-Ops-Rsrch---Data-Scientist--12-Month-Contract-_JR134445?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-06-10T06:49:01.357Z,False,0,6,32,https://talenthub.vectorinstitute.ai/jobs/326132021-sr-ops-rsrch-data-scientist-12-month-contract-at-canadian-tire-corporation,,expired,2024-05-30T06:44:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, -727f1cd7-638a-4876-8c33-ff08fd767a60,326946076,CIBC,"Senior Quantitative Analyst, Model Validation",on_site,"Ontario, Canada",2024-06-04T01:05:02.395Z,"
                    +

                    #EmployeeReferralProgram

                    +

                    +

                    Adequate knowledge of French is required for positions in Quebec.

                    +

                    +

                    Additional Information:
                    Position Type: Management
                    Job Status: Intern
                    Job Location: Canada : Ontario : Mississauga || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal
                    Work Arrangement: Hybrid
                    Application Deadline: 11/03/2024

                    +

                    +

                    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                    +

                    +

                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    +

                    +

                    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

                    +

                    +

                    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                    +

                    +

                    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                    +

                    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                    +

                    +

                    Created: Canada, ON, Mississauga

                    +

                    #CampusAI24

                    +

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA420056EXTERNALENCA/2025-Internship-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-05T19:54:15.682Z,False,0,59,199,https://talenthub.vectorinstitute.ai/jobs/340695974-2025-internship-program-data-analytics-ai-at-bell-canada,BECACA420056EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, +c4333aa3-5d7c-46c1-afc6-35811930e175,342714138,CIBC,Applied AI Researcher,on_site,"Ontario, Canada",2024-09-19T13:59:02.440Z,"

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    @@ -41076,27 +42980,26 @@ a8d1ad60-d1d0-466a-8e1e-eb785f1501c8,326132021,Canadian Tire Corporation,Sr Ops

                    To learn more about CIBC, please visit CIBC.com

                    -

                    What you’ll be doing

                    -

                    -

                    As the Senior Quantitative Analyst, Model Validation, you will have the opportunity to conduct an independent validation of CIBC’s analytic Retail models, approaches, methodologies, computations and techniques applicable to Bank-wide financial analytics, in particular, used for calculation of Economic and Regulatory Capital, IFRS 9, Stress Testing, Treasury, Account Management, Fraud, Anti-money laundering (AML).

                    +

                    The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                    +

                    As an Applied AI Researcher, you will have an individual contributor (IC) role driving strategic direction through collaboration with Data Science, Engineering and Product leaders across CIBC. You will play a crucial role in developing, improving, and exploring the capabilities of AI and Generative AI models.

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                    -

                    How you’ll succeed

                    +

                    How You will Succeed

                      -
                    • Model Validation and Problem Solving - Review the model\'s fundamental rationales and assumptions for soundness, as well as the theoretical underpinnings for consistency.

                    • -
                    • Technical Expertise and Testing - Develop an independent benchmark, using suitable programming languages and tools, and then conduct various quantitative/qualitative tests to assess the accuracy, strength and weakness of the model.

                    • -
                    • Reporting - Write a validation/vetting report that includes a description and analysis of both model and benchmark approaches, as well as model risk and limitation.

                    • +
                    • Applied AI competence: Tackle difficult and meaningful projects in domains such as systems based on foundation models, multi-agent AI, emerging AI experiences and responsible AI. Your work will make a significant difference in advancing cutting-edge technology and providing practical solutions to real-world problems.

                    • +
                    • Research Skills: Acquire and evaluate a wide area of research including deep learning, NLP, statistical modeling, and the related literature. Apply knowledge about new tools, technologies, and methods to support the development and implementation of these technologies.

                    • +
                    • Science-driven innovation: Work with other researchers, engineers, and product groups. Represent CIBC in the research community, collaborating with faculty members in the relevant AI research functions.

                    -

                    Who you are

                    +

                    Who You Are

                      -
                    • You have a degree. Master’s or Ph.D. degree in one or more of the following: finance, mathematics, applied mathematics, statistics, economics, econometrics, physics, computer science, engineering, etc.

                    • -
                    • You can demonstrate experience. Model validation, model development, and/or internal audit experience. In-depth hands-on experience in Statistical modelling tools (e.g., SAS, Matlab, R and Python), strong qualitative and quantitative analytical skills from experience working with large data volumes.

                    • -
                    • You can demonstrate knowledge. Of econometric/Statistical models, AIRB credit risk models (PD, LGD, EAD), IFRS 9/CECL, Fraud, AML, Scorecards, Adjudication, AI/Machine Learning, Stress Testing, etc.

                    • -
                    • You love to learn. You\'re passionate about growing your knowledge. You have a strong sense of curiosity. Maintain up-to-date knowledge with regard to development and changing technology in risk management.

                    • -
                    • You’re motivated by collective success. You collaborate well in a team, learning from others and applying your skill set. You proactively seek new opportunities to define what’s possible.

                    • -
                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork, and accountability.

                    • +
                    • You have advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                    • +
                    • You understand theoretical AI concepts and stay current with the progress of AI. You have a record of impactful projects and publications in related fields or top-tier conferences and journals

                    • +
                    • You can demonstrate excellent coding skills and hands-on experience working with large foundation models and related frameworks and toolkits, preferably Python. You are familiar with LLMs such as the OpenAI Generative Pre-Trained Transformers models, LLAMA etc., model finetuning methods, prompting methods, and model evaluation.

                    • +
                    • You have a PhD in computer science, mathematics, or other related disciplines, and 3+ years in related research experience, or relevant experience.

                    • +
                    • You are motivated by collective success. You value collaboration and know that it can make a good idea even better. You embrace the power of an inclusive team that enjoys working together to achieve a shared vision.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    @@ -41122,249 +43025,11 @@ a8d1ad60-d1d0-466a-8e1e-eb785f1501c8,326132021,Canadian Tire Corporation,Sr Ops

                    -

                    Job Location

                    Toronto-81 Bay, 31st Floor

                    +

                    Job Location

                    Toronto-81 Bay, 21st Floor

                    Employment Type

                    Regular

                    Weekly Hours

                    37.5

                    -

                    Skills

                    Analytical Thinking, Decision Making, Group Problem Solving, Model Analysis, Regulatory Requirements, Reporting and Analysis, Risk Models, Risk Quantification
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Quantitative-Analyst--Model-Validation_2411701-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-06-10T17:15:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/326946076-senior-quantitative-analyst-model-validation-at-cibc,,expired,2024-06-04T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -633f5003-8269-4352-b1c6-2228c11c237b,323512970,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Toronto, ON, Canada",2024-05-16T16:21:08.963Z,"

                    Date: May 9, 2024

                    -

                    Location: Toronto, Ontario, Canada

                    -

                    Company: Deloitte

                    -

                    Job Type: Permanent
                    Work Model:
                    Hybrid
                    Reference code:
                    126337
                    Primary Location:
                    Toronto, ON
                    All Available Locations:
                    Toronto, ON; Calgary, AB; Vancouver, BC

                    -

                    -

                    Our Purpose

                    -

                    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                    -

                    By living our Purpose, we will make an impact that matters.

                    -
                      -
                    • Have many careers in one Firm.
                    • -
                    • Partner with clients to solve their most complex problems
                    • -
                    • Experience a firm where wellness matters.
                    • -
                    -

                    What will your typical day look like?

                    -

                    Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

                    -

                    As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

                    -

                    We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
                    • Risk Data Strategy & Architecture
                    • Risk Data Modelling & Engineering
                    • Risk Data Analytics, Reporting & Insights
                    • Risk Data Governance & Management

                    -

                    The successful candidate will have responsibility to:
                    • Support our clients to grow responsibly through the use of applied data and analytics.
                    • Support the industry leadership in growing our risk analytics business.
                    • Support the establishment of a repeatable analytical models and approaches for clients.
                    • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
                    • Manage and support team members in the delivery of work
                    • Build strong relationships with key Deloitte team members and clients.
                    • Enhance the value of our deliverables and the insights provided by our work.
                    • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
                    • Work with existing clients to design and develop programs for data and analytics.
                    • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
                    • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

                    -

                    About the team

                    -

                    We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

                    -

                    Enough about us, let’s talk about you

                    -

                    In this role, the expected qualifications are:

                    • Exceptional planning, organization, project and people management skills.
                    • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
                    • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
                    • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
                    • Experience in Financial Services Industry in a consulting or industry capacity
                    • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
                    • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
                    • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
                    • Experience in working with analytical, visualization and data engineering capabilities
                    • Experience in working with cloud capabilities is an asset
                    • Ability to own and drive initiatives in many different and challenging environments.
                    • Ability to understand client needs and deliver value through proven and innovative approaches.
                    • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
                    • Ability to work in a fast paced and demanding environment, both independently and in a team setting
                    • Ability to establish priorities and meet challenging deadlines
                    • Curiosity and comfortability with ambiguity
                    • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
                    • Willingness/flexibility of traveling to client locations, as required

                    -

                    Total Rewards

                    -

                    The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                    Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                    -

                    -

                    Our promise to our people: Deloitte is where potential comes to life.

                    -

                    -

                    Be yourself, and more.

                    -

                    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                    -

                    You shape how we make impact.

                    -

                    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                    -

                    Be the leader you want to be

                    -

                    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                    -

                    Have as many careers as you want.

                    -

                    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                    The next step is yours

                    -

                    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                    -

                    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                    -

                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                    ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-06-15T16:21:12.029Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/323512970-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,,expired,2024-05-16T16:21:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -27d66daa-2a35-492c-86e2-41bd0116d009,325154865,Google,"Field Solutions Developer III, Generative AI, Google Cloud",on_site,"Toronto, ON, Canada",2024-05-24T01:13:02.479Z,"
                    -
                    -

                    Field Solutions Developer III, Generative AI, Google Cloud

                    -
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                    -
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                    • -linkCopy link -
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                    -corporate_fareGoogleplaceSan Francisco, CA, USA; Toronto, ON, Canada; +9 more; +8 more
                    -
                    -
                    -
                    -bar_chartAdvanced -
                    -
                    -

                    Advanced

                    -
                    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
                    -
                    -
                    -
                    -
                    -
                    -Apply
                    -
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                    -share -
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                    • -linkCopy link -
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                    info_outline
                    -XInfo The application window will be open until at least June 11, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.

                    The application window will be open until at least June 11, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

                    -

                    This role may also be located in our Playa Vista, CA campus.

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Salt Lake City, UT, USA; Montreal, QC, Canada; Waterloo, ON, Canada.
                    -
                    - -
                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
                      -
                    • -
                    • 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
                      -
                    • -
                    • Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
                      -
                    • -
                    • Experience delivering technical presentations and leading business value sessions.
                      -
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Master\'s degree in Computer Science, Engineering, or a related technical field.
                      -
                    • -
                    • Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
                      -
                    • -
                    • Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
                      -
                    • -
                    • Experience with distributed training and optimizing performance versus costs.
                      -
                    • -
                    • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
                      -
                    • -
                    • Experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.
                      -
                    • -
                    -
                    -
                    -

                    About the job

                    -

                    As a Generative AI Field Solutions Developer, you will play a pivotal role in supporting our Google Cloud business organization. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.

                    -

                    You will leverage the Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                    -
                    -
                    -

                    Responsibilities

                    -
                      -
                    • Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
                      -
                    • -
                    • Demonstrate how Google Cloud is differentiated by working with customers on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
                      -
                    • -
                    • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
                      -
                    • -
                    • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement activities. Travel as needed.
                      -
                    • -
                    -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    -

                    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                    -

                    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    -

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                    -

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    -
                    -
                    ",,https://www.google.com/about/careers/applications/jobs/results/134490933082104518-field-solutions-developer-iii-generative-ai-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-23T14:23:00.000Z,False,0,8,43,https://talenthub.vectorinstitute.ai/jobs/325154865-field-solutions-developer-iii-generative-ai-google-cloud-at-google,,expired,2024-05-24T01:13:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -ce6e8f18-694b-460e-aace-374f61f1a374,325526586,TELUS,AI Product Manager,on_site,"Ontario, Canada",2024-05-26T01:36:03.436Z,"
                    -
                    -

                    Join our team and what we\'ll accomplish together

                    -
                    -

                    -


                    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                    -

                    -

                    We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                    -

                    -

                    In this role as an AI Product Manager you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.

                    -

                    -
                    -
                    -
                    -

                    What you\'ll do

                    -
                    -

                    -
                      -
                    • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                    • -
                    • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                    • -
                    • Play the critical role of “translator” i.e. translating business problems into data problems.
                    • -
                    • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.
                    • -
                    • Define strategy for the team and for the products that you’ll develop
                    • -
                    • Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                    • -
                    • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                    • -
                    -

                    -

                    -
                    -
                    -
                    -

                    What you bring

                    -
                    -

                    -
                      -
                    • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                    • -
                    • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management
                    • -
                    • 5 or more years of hands-on work and practical business experience in the above areas.
                    • -
                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                    • -
                    • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
                    • -
                    • You are well versed in software and AI development lifecycles, including ML Ops.
                    • -
                    • You are agile and have a bias for action, removing roadblocks to get results fast
                    • -
                    -

                    -

                    Great-to-haves

                    -

                    -
                      -
                    • GCP or other cloud certifications
                    • -
                    • Experience with Agile methodology and work in a start-up environment
                    • -
                    • Experience in Management Consulting
                    • -
                    • Product Management/Ownership certification(s), Scrum Master
                    • -
                    -

                    -

                    -
                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON-M5J-2V5/580186317/,feed-importer@jobboard.io,,,,2024-06-20T20:27:00.000Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/325526586-ai-product-manager-at-telus,,expired,2024-05-26T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,No Degree,New Posting, -89132776-7d70-454f-ad30-4dd917c281be,333522158,Scotiabank,"Senior Manager, Data Science and Insight (Bilingual English/Spanish)",on_site,Canada : Ontario : Toronto,2024-07-11T16:28:03.093Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 202882

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    The Senior Manager will work closely with the business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate’s activities include requirement analysis, data analysis, documentation, and focal point of managing the communication with countries.

                    -

                    The individual will contribute to the delivery of key risk information and data analytics for the Global Risk Management – Business Banking. He/she plays an active role in the deployment of technology solutions that enhance the effectiveness of risk management. He/she partners with colleagues in GRM and IT&S, in addition to other Bank stakeholders to assist with the deployment of multi-disciplinary, complex, management technology solutions that align with GRM’s strategic priorities.

                    -

                    -

                    Is this role right for you? In this role, you will:

                    -
                    • Lead and drive a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                    • Develop and implement strategies for increasing the effectiveness and quality of risk reporting to senior management and executives.
                    • Assist in enhancing Centre of Excellence data and analytics team by benchmarking global standards and work on standardization across countries.
                    • Foster collaboration with subsidiaries and branches to identify opportunities, Leverage the expertise within the Toronto office to develop and implement effective solutions.
                    • Streamline and optimize local information, and MIS to gain understanding of BNS results and benchmark against market where appropriate. Develop key performance indicators and early warnings across the life cycle to promptly identify emerging trends that can impact portfolio performance.
                    • -
                    -
                    • Collaborate with IB subsidiaries and branches on identifying opportunities for automation and digitization, develop solutions by leverage the expertise in the Toronto office.
                    • Drive effective risk stewardship and acceptable risk-return opportunities by communicating risk appetite and strategic objectives, using policies, process and technology that can be leveraged across the organization to maximize profit, in consideration of the strategy and risk appetite of the Bank and country.
                    • Participate in the identification, assessment, measurement, and monitoring of complex, cross-enterprise risks, and communicating these risks to Executives in committee environments and preparing reports for the Board of Directors.
                    • -
                    -
                    • Enhance reporting capabilities by improving analytical programs and migrating reports to common platforms.
                    • Participate in the calculation and reporting of PCLs which includes, but not limited to, communication with subsidiaries, analysis of key drivers such as volume, credit quality, and macroeconomic forecasts. Assisting senior management in applying expert credit judgement to assure appropriate levels of Allowance for Credit Losses (ACL).
                    • Create an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                    • Build a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment and uses a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.
                    • -
                    -

                    -

                    Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                    -
                    • A minimum of five or more years of progressive, relevant, and practical experience with reputed organizations, preferably with financial institutions.
                    • A technical background in mathematics, information technology or financial engineering is preferred.
                    • Working knowledge of SQL, SAS and Python is an asset.
                    • Experience on working with BI (Business Intelligence) dashboard, including tools such as Power BI and Tableau is considered an asset.
                    • Bilingual in Spanish/English is considered as asset.
                    • -
                    -

                    -

                    What's in it for you?

                    -
                    • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers
                    • A rewarding career path with diverse opportunities for professional development
                    • Internal training to support your growth and enhance your skills
                    • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                    • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more
                    • Hybrid Work Environment
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-and-Insight-%28Bilingual-EnglishSpanish%29-ON-M5H3Y2/582629417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-05T16:33:03.315Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/333522158-senior-manager-data-science-and-insight-bilingual-english-spanish-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-and-Insight-%28Bilingual-EnglishSpanish%29-ON-M5H3Y2/582629417/,expired,2024-07-11T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -a32b115b-50de-4527-856c-2c094e81a151,335779798,CIBC,"Director, AI Governance – AI Risk Management",on_site,"Ontario, Canada",2024-07-29T07:33:02.926Z,"
                    +

                    Skills

                    AI Programming, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Data Analysis, Data Science, Deep Learning, Machine Learning, Natural Language Processing (NLP), Pandas (Software), Python (Programming Language), Researching
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Applied-AI-Researcher_2413148?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-07T10:09:04.084Z,False,0,40,230,https://talenthub.vectorinstitute.ai/jobs/342714138-applied-ai-researcher-at-cibc,,expired,2024-09-19T13:59:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +c133fcfc-d889-4b12-9859-934e765a7721,343668672,CIBC,AI and Data Science,on_site,"Ontario, Canada",2024-09-26T10:04:02.053Z,"

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    @@ -41372,33 +43037,28 @@ a32b115b-50de-4527-856c-2c094e81a151,335779798,CIBC,"Director, AI Governance –

                    To learn more about CIBC, please visit CIBC.com

                    -

                    What You\'ll Be Doing

                    -

                    The Enterprise AI Governance Office (AIGO) within the Enterprise Advanced Analytics and AI Hub at CIBC is the team responsible for ensuring that all AI activities in CIBC are governed in accordance with the Enterprise AI Framework and its associated processes and standards. AIGO leads the way within the organization in developing processes, standards, guidance, and best practices for effectively managing AI related risks and ensuring regulatory compliance.

                    -

                    This position involves supporting CIBC’s AI Risk management practices through conducting and reviewing AI risk assessments, developing effective AI risk mitigation plans in partnership the business teams and other risk control groups, and also by providing AI risk advisory services to the Enterprise. The position will be responsible for ensuring all AI solutions in the organization are appropriately risk assessed as required by the Enterprise AI Framework. The Director will work collaboratively with technology, business teams, control groups, audit, and oversight bodies to ensure that all CIBC AI Governance requirements are complied with and are effective in managing AI-related risks.

                    +

                    What You will Be Doing

                    +

                    The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                    +

                    +

                    With your defined practical experience in the domain of Advanced Data Science, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    -

                    How You’ll Succeed

                    +

                    How You’ll Succeed

                      -
                    • Champion the responsible and ethical use of AI for solving business problems-Work with business units to understand their AI Governance needs, opportunities, and pain points. Work with risk and control teams to ensure AI related risks are adequately managed. Focus on relationship building and become a trusted partner for AI Governance within the bank. Contribute to the development of AI risk management thought leadership and related educational resources both within the organization and externally. 

                    • -
                    • Ensure AI Solutions are managed and delivered in a governed manner-Work with AI development, technology, and risk/control/compliance teams in identifying, assessing, and mitigating AI-related risks in accordance with AI risk management best practices, tools and techniques to comply with governance requirements and accelerate CIBC’s leadership in ethical and responsible use of AI. Develop AI-related risk mitigation controls with key partners and assist with ongoing risk reporting and risk reviews for the Enterprise.

                    • -
                    • Translate research to insights and inform decision making-Monitor, research, and report on the latest trends and developments around AI risk management. Help ensure that all AI risk management processes, tools, and techniques are inclusive of the requirements necessary to meet the growing demands and advancements in AI by suggesting and making changes to the current state.

                    • -
                    • Ignite innovation, drive actions- Work as an internal consultant to drive results through the application of ""governed"" AI solutions. Provide support and help drive adoption of AI Governance across the organization by developing strategy and success metrics. Manage and participate in all AI Governance related bodies and committees.

                    • +
                    • Data Science Expertise- Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                    • +
                    • Analytical Partner- You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                    • +
                    • Ignite innovation, drive actions- Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                    -

                    Who You Are

                    +

                    Who You Are

                      -
                    • You can demonstrate experience in developing, assessing, and evaluating AI solutions. Knowledge of Predictive Modelling, Machine Learning, NLP, Computer Vision, and other AI disciplines is a must have. You are a seasoned Data Science professional with strong foundational knowledge in Linear Algebra, Probability and Statistics, Computer Science, and/or Engineering.

                    • -
                    • You have extensive hands-on experience in developing and deploying AI or Machine Learning solutions using Python, SAS, or R. Additionally, you have strong coding skills in SQL and hands-on experience with Tableau.

                    • -
                    • You are passionate. about the responsible and ethical use of AI to benefit society. You enjoy conducting research, developing processes and guidance, and educating others on this important topic.

                    • -
                    • You’re a certified professional. You have a degree in a relevant discipline with education and knowledge that are transferrable to AI Governance.

                    • -
                    • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

                    • -
                    • You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.

                    • +
                    • You can demonstrate experience in Predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                    • +
                    • You understand advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                    • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                    • -
                    • Your influence makes an impact. You know that relationships and networks are essential to success.

                    • -
                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork, and accountability.

                    • +
                    • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    -

                    What CIBC Offers

                    @@ -41425,89 +43085,7 @@ a32b115b-50de-4527-856c-2c094e81a151,335779798,CIBC,"Director, AI Governance –

                    Job Location

                    Toronto-81 Bay, 21st Floor

                    Employment Type

                    Regular

                    Weekly Hours

                    37.5

                    -

                    Skills

                    Artificial Intelligence Ethics, Cloud Governance, Governance Framework, Policy Compliance, Policy Development, Quality Assurance (QA) Standards, Regulatory Compliance, Risk Management and Mitigation, Standards Compliance
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--AI-Governance----AI-Risk-Management_2416264-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-08-08T07:38:02.044Z,False,0,4,26,https://talenthub.vectorinstitute.ai/jobs/335779798-director-ai-governance-ai-risk-management-at-cibc,,expired,2024-07-29T07:33:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -565f2adc-b622-4b52-9cc0-6e684c4040fd,336207262,Scotiabank,"Associate, Risk Insights and Analytics - Toronto",on_site,Canada : Ontario : Toronto,2024-08-01T16:28:02.840Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 202758

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.

                    -

                    -

                    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                    -

                    -

                    Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

                    -


                    Purpose
                    Assist and lead the development and implementation of a governance and processes for Global Banking & Markets (“GBM”) Internal Control. The incumbent will play a critical part in successfully developing and tracking Key Risk Indicators, Key Performance Indicators or metrics; and proactively identifying and remediating risks through data-driven analytics.


                    What You'll Do:

                    -
                    • Partner with business leaders, technology groups and control and support units to ensure appropriate controls are designed into new processes and/or when changes occur because of new business, new or enhancements to existing systems, regulatory pronouncements, etc.
                    • Coordinating and ensuring completion of ad-hoc requests from internal and external stakeholders
                    • Creating and understanding meaningful, robust business commentary for various recurring Management and Executive Committees, Board meetings, and regulatory forums
                    • Strengthening and developing the control environment by promoting an understanding and adherence to the existing governance framework and policies, procedures, and regulations
                    • Actively creating efficiencies in the way controls are applied while still operating under a robust control framework
                    • Developing relationships with desk heads to understand requirements to manage operational risk and support business activity
                    • Development of internal standards, guidelines and procedures to manage operational risk within the strategic framework set by the SVP, Head of GBM Internal Controls
                    • Integrate data from multiple sources and develop dashboards, reports with commentary for the Global Banking & Markets businesses
                    • Develop and enhance tools and processes through innovative use of the available technologies
                    • -Assist in supporting existing tools, along with creating numerous new tools, reports, and automated processes to manage operational risks and regulatory information such as.
                      • Develop Key Risk Indicators, Key Performance Indicators and/or metrics tools to facilitate oversight and supervision of GBM staff
                      • Maintain and develop additional functionality to in-house tracking tools and provide periodic and ad-hoc reports to management
                      • Assist trading management with ad-hoc requests and special projects
                    • Create detailed documentation and training guides for tools and systems, and ensure all processes are clearly documented
                    • Ensure departmental objectives are met by keeping current on rapidly changing technological trends, self-teaching and maintaining an understanding of new software development technologies
                    • -
                    -


                    What You'll Bring:

                    -
                    • University Degree or College Diploma, preferably with programming experience
                    • CFA (preferred)
                    • High proficiency in Excel (including VBA or Office Scripts), data structuring and data analytics and visualization (Power BI, Python, SQL, Power Query, Tableau, or R)
                    • Excellent knowledge and experience in programming, development, database design and related technologies
                    • Ability to come up with solutions and technical design based on high level business requirements
                    • Passionate about programming, technology, and improving processes
                    • Proficient at quickly learning/understanding code to troubleshoot and fix bugs
                    • Demonstrate maturity, credibility and sound judgment in dealing with senior management across business lines, risk management and support groups
                    • Ability to successfully work in a fast paced and dynamic environment with constantly changing conditions
                    • Self-starter and independent worker
                    • Excellent time management
                    • Team player with strong written, communication and presentation skills.
                    • The ability to prioritize amongst many competing deliverables at any given time
                    • -
                    -


                    Work Arrangement:
                    This position is currently a hybrid role, with the expectation that you will work at least 3 days a week in the office. Please note that this is subject to change based on the needs of the business.

                    -


                    Interested?

                    -

                    If your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!

                    -

                    At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.

                    -

                    -

                    What's in it for you?

                    -

                    Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Risk-Insights-and-Analytics-Toronto-ON-M5H1H1/583234017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-08T16:33:03.148Z,False,0,7,41,https://talenthub.vectorinstitute.ai/jobs/336207262-associate-risk-insights-and-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Risk-Insights-and-Analytics-Toronto-ON-M5H1H1/583234017/,expired,2024-08-01T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -4a0d3e08-d499-4615-98e5-5932f2c18a0c,337370350,TD Bank Group,Manager Analytics and Insights - 12 month STA,hybrid,"Toronto, ON, Canada",2024-08-08T20:55:01.605Z,"

                    Work Location:

                    -

                    Canada

                    -

                    -

                    Hours:

                    -

                    37.5

                    -

                    -

                    Line of Business:

                    -

                    Data & Analytics

                    -

                    -

                    Pay Details:

                    -

                    We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                    -

                    -

                    Job Description:

                    -

                    ***This is a 12-month short-term assignment***

                    -

                    -

                    TD's Risk Shared Services (RSS) is seeking a Manager, Insights and Analytics to join their Data, Analytics and Reporting (DAR) team for a 1 year Short Term Assignment (STA). They will be instrumental in delivering analytic products to the risk management clients we serve.

                    -

                    The ideal candidate will have data related analytics experience along with strong business acumen and communication skills.

                    -

                    Key Responsibilities:

                    -
                      -
                    • Develop MVPs and serve as Product Lead over risk analytic deliveries including automated data workflows, dashboards, and risk metrics
                    • -
                    • This is a people manager role that will lead an L9 senior business insight analyst
                    • -
                    • Manage client relationship and expectations during development cycles through status updates, and triage/prioritize enhancement requests
                    • -
                    • Participate in agile ceremonies (standups, sprint planning) and maintain agile artifacts (JIRA, confluence)
                    • -
                    -

                    Job Requirements

                    -
                      -
                    • Undergraduate and/or graduate degree in quantitative discipline such as data management, analytics, computer engineering, computer science, mathematics, physics, economics
                    • -
                    • 5 years relevant data and analytics experience
                    • -
                    • -Data –Knowledge of industry data tools such as SQL, Python, SSIS and Alteryx is a must. Knowledge of Microsoft Azure cloud services including Azure Data Factory, Databricks, Azure SQL DB and Azure Synapse is considered a strong asset.
                    • -
                    • -Visualization – Experience creating analytic or visualization data models (ADS, VDS), utilizing data models to visualize analytic results in Tableau is a must. Some visualizations may mature into interactive Tableau dashboards for either operational or executive audience
                    • -
                    • -Excel and PowerPoint – Working knowledge of Excel and Powerpoint is considered an asset. Draft storyboards and execute narratives in PPT common in advisory or consultancy roles is also valued.
                    • -
                    • -Modeling – Experience developing and implementing statistical models is considered a nice-to-have.
                    • -
                    -

                    Feel free to attach professional or personal work that showcase your abilities. No cover letter required.

                    -

                    -

                    Who We Are:

                    -

                    TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                    -

                    -

                    TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                    -

                    -

                    -

                    Our Total Rewards Package
                    Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                    -

                    -

                    Additional Information:
                    We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                    Colleague Development
                    If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                    -

                    Training & Onboarding
                    We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                    -

                    -

                    Interview Process
                    We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                    -


                    Accommodation
                    Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                    We look forward to hearing from you!

                    -

                    -

                    Language Requirement:

                    -

                    N/A.

                    ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Manager-Analytics-and-Insights---12-month-STA_R_1355766-1?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-12T21:11:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/337370350-manager-analytics-and-insights-12-month-sta-at-td-bank-group,,expired,2024-08-08T20:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +

                    Skills

                    Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-07T10:09:04.084Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343668672-ai-and-data-science-at-cibc,,expired,2024-09-26T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Scaling (20-499),Application Click Through,Technology (Information and Media),,Masters Degree,New Posting, d361ff8f-f64b-4337-a347-50f3d6287d2e,341819627,BMO Financial Group,"Senior Manager, Modelling & Analytics",on_site,"Ontario, Canada",2024-09-12T15:59:02.952Z,"

                    Application Deadline:

                    10/03/2024

                    @@ -41596,6 +43174,443 @@ d361ff8f-f64b-4337-a347-50f3d6287d2e,341819627,BMO Financial Group,"Senior Manag

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Modelling---Analytics_R240018320?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-07T08:23:01.744Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/341819627-senior-manager-modelling-analytics-at-bmo-financial-group,,expired,2024-09-12T15:59:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ac62b895-e68e-406d-b507-54d89f2590cc,342742086,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2024-09-19T19:51:23.880Z,"

                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                    +

                    As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                    +

                    Must-Have

                    +
                      +
                    • Experience with building and scaling data-intensive software in Java
                    • +
                    • You value good software design and sweat over details in code and API design
                    • +
                    • Knowledge of machine learning modelling workflow
                    • +
                    • You enjoy learning new technology and also educating others
                    • +
                    • You strive to communicate clearly and with empathy
                    • +
                    • You take great personal pride in building robust and scalable software
                    • +
                    • You are highly accountable and have a strong sense of ownership
                    • +
                    • Ability to do detailed code reviews and give thoughtful feedback
                    • +
                    +

                    +

                    Nice to have

                    +
                      +
                    • Experience building a library or a framework
                    • +
                    • Knowledge of machine learning algorithms
                    • +
                    • Experience with Kubernetes
                    • +
                    • Data analytics
                    • +
                    • Comfortable with math or statistics
                    • +
                    +

                    Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                    ",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,14,113,https://talenthub.vectorinstitute.ai/jobs/342742086-machine-learning-engineer-framework-at-layer-6,,expired,2024-09-19T19:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +df2d38c7-7289-42dc-98f5-65641123e7eb,342742091,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2024-09-19T19:55:35.013Z,"

                    Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                    +

                    Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                    +

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                    +

                    Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                    +

                    As a machine learning scientist, you will

                    +
                      +
                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                    • +
                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                    • +
                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                    • +
                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                    • +
                    +

                    Required Qualifications

                    +
                      +
                    • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                    • +
                    • Strong background in machine learning
                    • +
                    • 5+ years of research experience with publication record
                    • +
                    • Proven track record of applying machine learning to solve real-world problems
                    • +
                    +

                    Preferred Qualifications

                    +
                      +
                    • Experience with deep learning and/or collaborative filtering
                    • +
                    • Hands on experience in software systems development and SaaS applications
                    • +
                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                    • +
                    • Experience using GPUs for accelerated deep learning training
                    • +
                    • Familiarity with AWS
                    • +
                    +

                    Benefits

                    +
                      +
                    • Entrepreneurial and inclusive culture
                    • +
                    • Excellent health coverage
                    • +
                    • Four weeks paid vacation
                    • +
                    • Catered lunches twice a week over machine learning talks
                    • +
                    • Opportunities to collaborate with faculty at the Vector Institute
                    • +
                    +

                    Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                    ",,https://layer6.ai/careers/#Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,38,273,https://talenthub.vectorinstitute.ai/jobs/342742091-machine-learning-scientist-at-layer-6,,expired,2024-09-19T19:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +2d98ec17-f035-4e54-9d45-5ad021a2b98f,342742085,Layer 6,Sr. DevOps Engineer ,on_site,"Toronto, ON, Canada",2024-09-19T19:49:23.369Z,"

                    You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                    +

                    We are looking for world-class devops engineers and problem solvers.
                    You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                    +

                    Job Requirements

                    +

                    Must-Have:

                    +
                      +
                    • 5+ years of experience building sophisticated and automated production infrastructure
                    • +
                    • Solid Azure or AWS experience
                    • +
                    • Extensive experience with Kubernetes, docker and container orchestration
                    • +
                    • Experience with Saltstack or other configuration management
                    • +
                    • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                    • +
                    • Experience with managing CI/CD tools and pipelines
                    • +
                    • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                    • +
                    • Experience with Git, Jenkins and Elasticsearch
                    • +
                    • Strong verbal and written communication skills, with the ability to work effectively across teams
                    • +
                    • BA/BS degree or equivalent experience; Computer Science background preferred
                    • +
                    +

                    Nice-to-Have:

                    +
                      +
                    • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                    • +
                    • Familiarity with monitoring tools
                    • +
                    • Experience with automated testing tools
                    • +
                    • Experience troubleshooting and tuning systems performance
                    • +
                    • Knowledge of Java
                    • +
                    +

                    Benefits:

                    +
                      +
                    • Entrepreneurial and learning culture
                    • +
                    • Excellent health coverage and pension plan
                    • +
                    • Four weeks paid vacation
                    • +
                    • Catered lunches twice a week over machine learning talks
                    • +
                    +

                    Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                    ",,https://layer6.ai/careers/#Sr-DevOps-Engineer-663,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/342742085-sr-devops-engineer-at-layer-6,,expired,2024-09-19T19:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8d502d63-5e8f-4150-af99-5363d90e9845,344287952,Scotiabank,Data Engineer,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.104Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 200689

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The Team

                    +

                    +

                    Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms. Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements. Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms

                    +

                    +

                    The role:

                    +

                    +
                    • Contributes to the overall success of the Data Engineering and Data Services in Canada

                    • Ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                    • Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                    • +
                    +

                    +

                    Is this role right for you? In this role you will:

                    +

                    +
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    • Champions a high-performance environment and contributes to an inclusive work environment.

                    • Participate in the implementation of data engineering and transformation solutions to ensure highly scalable, extensible, and performant solutions.

                    • Contribute to the delivery of data ingestion, transformation and extraction solutions in Enterprise Data Lake (EDL) Big Data platform

                    • Hands-on development supporting Data integration, Analytics and Cloud environments.

                    • Support existing data ingestion and data transformation solutions in the production environment

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                    • +
                    +

                    +

                    Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                    +

                    +
                    • At least 4 years of experience working with Hadoop Hive, Apache Sqoop, Apache Spark (must-have)

                    • Exposure and familiarity with Talend ETL tool (or similar products – must have)

                    • 3+ years of production support experience (must-have)

                    • 4+ years of software development (SDLC) experience in Agile Scrum/Kanban methodology (must-have)

                    • Hands-on experience with Unix/Linux Command Line Interface (CLI) (must-have)

                    • Strong communication and presentation skills

                    • Basic RDBMS skills and experience (Oracle, SQL Server) (must-have)

                    • 2+ years of hands-on experience with Python or Spark (must-have)

                    • Working experience with DevOps and running Jenkins pipelines (nice-to-have)

                    • Experience with code repository, version control and code promotion tools such as Git/Bitbucket and Jenkins (nice-to-have)

                    • +
                    +

                    +

                    What's in it for you?

                    +

                    +
                    • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                    • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                    • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                    • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                    • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                    • +
                    +

                    +

                    Working location condition: Hybrid

                    +

                    +

                    #LI-Hybrid

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M1L4S2/582024917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/344287952-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M1L4S2/582024917/,expired,2024-09-30T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +63ba105d-5fc5-49ba-981f-c07ee327c400,343277471,TELUS,Senior Strategy Manager (Data Analytics & AI),on_site,"Ontario, Canada",2024-09-23T08:58:01.956Z,"
                    +
                    +

                    Join our team and what we\'ll accomplish together

                    +
                    +

                    +

                    TELUS is on a mission to revolutionize organization outcomes through insights, data and AI. Our Data Strategy & Enablement team, in the Chief Information Office, is at the forefront of this transformation. We\'re a high-octane team of innovators, building the foundations and capabilities for a data-driven future

                    +


                    We are on a continuous journey for driving TELUS into a world-class leader in data driven organization, doing so by delivering analytics capabilities, unified scalable platforms, advanced AI tooling and a digital growth mindset culture. We are entrepreneurial, fun and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment.

                    +


                    Are you a strategic thinker with a passion for AI and technology? We\'re seeking a Senior Strategy Manager to join our team and help shape and drive TELUS\' AI journey. This is a fast-paced, high-impact and visibility role for a self-starter who thrives in a dynamic environment and will work alongside brilliant minds and teams to develop and execute a data and AI strategy that drives unparalleled value for our customers.

                    +


                    As a senior member of the team, you will play a key part in developing and driving data and AI maturity across TELUS. Using your passion for technology, communications and creativity, you will drive the awareness of multiple transformation efforts and promote the vision and behaviors to accelerate our transformation, translating technical lingo and complex ideas into engaging, easy to understand content decision makers. Along the way, there will be a ton of opportunities for both personal and professional development while developing long-lasting relationships within the TELUS family.

                    +
                    +
                    +
                    +

                    What you will do

                    +
                    +

                    +
                      +
                    • Support the acceleration of data and AI strategy across the enterprise to enable the organization in meeting its strategic and financial objectives
                    • +
                    • Collaborate with business units across TELUS to drive education, outreach, and adoption of responsible AI, analytics, and GenAI, fostering AI maturity and awareness
                    • +
                    • Lead annual strategy exercise and business planning with executive and C-suite leadership including material creation (business cases, executive presentations) and coordination across teams and units
                    • +
                    • Evaluate AI capabilities from a product centric lens for re-usability and scalability by connecting the dots among initiatives across products and business units
                    • +
                    • Demonstrate strong understanding of technology, data science and AI landscape with the ability to drive points of views, strategic thinking and impact across products and business units
                    • +
                    • Collaborate closely with teams, leaders and business partners to develop, articulate and align the strategic roadmap
                    • +
                    • Lead storytelling in executive leadership forums with presentations, articles and communications to provide visibility and drive decision making
                    • +
                    +

                    +

                    +
                    +
                    +
                    +

                    What you bring

                    +
                    +

                    +
                      +
                    • Maturity in identifying and driving strategic initiatives, anticipating interdependencies and impacts up and down streams
                    • +
                    • Infectious positive and collaborative attitude while working across cross functional teams even in in stressful or pressured situations
                    • +
                    • A proven track record of independently driving complex projects from inception to completion in a fast-paced environment, delivering results under tight deadlines
                    • +
                    • Passion for technology and AI with agility in your way of thinking and working
                    • +
                    • Exceptional communication skills, compelling storytelling and presentations skills to executive audiences
                    • +
                    • Strong financial modeling and business planning skills
                    • +
                    • Flexibility, accountability and openness to feedback with the ability to pivot rapidl
                    • +
                    +

                    +

                    Great-to-haves

                    +

                    +
                      +
                    • University degree in Business, Information Technology Management or Engineering; Masters degree desirable
                    • +
                    • 5-7 years of experience in a Management Consulting or Corporate Strategy with a large organization
                    • +
                    • 3-5 years of experience working in Technology in a high paced environment with senior leadership
                    • +
                    • Experience in developing and implementing data and AI strategies is highly desired
                    • +
                    • Experience defining and implementing new operating models, change management and standing up transformation efforts
                    • +
                    +

                    +

                    +
                    +
                    +
                    ",,https://careers.telus.com/job/Toronto-Senior-Strategy-Manager-%28Data-Analytics-&-AI%29-ON/583238717/,feed-importer@jobboard.io,,,,2024-09-30T09:03:03.824Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/343277471-senior-strategy-manager-data-analytics-ai-at-telus,,expired,2024-09-23T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +b82f804b-eadd-44fd-983d-d0d1df34110a,343660828,RBC,"Director, Data Management Enablement",on_site,"Toronto, ON, Canada",2024-09-26T08:20:02.342Z,"
                    +

                    Job Summary

                    +

                    +

                    +

                    Job Description

                    +

                    +

                    What is the opportunity?

                    +

                    +

                    Enterprise Data Management Office (EDMO) is the facilitating body for all Data Management Offices for RBC focused on driving consistency and standardization across the DMOs. EDMO will partner with the DMOs to establish an effective DMO Target Operating Model and leading the Data Management and Compliance Council (DMCC) forum for all data management activities across RBC. EDMO also enables and supports the Functional Data Domains across RBC ensuring consistency in the implementation of the Standards of Care.

                    +

                    +

                    The Director, Data Management Enablement will work closely with functions line of business to establish and accelerate data management activities that benefit business opportunities while establishing data domain control points resulting in a data management strategy and execution that unlocks the business value of data in a safe policy adherent manner

                    +

                    +

                    What will you do?

                    +
                      +
                    • Identify and build re-useable acceleration strategies around data management gap and business priorities
                    • +
                    • Meet FY Policy deliverables to support business priorities and align with Data Policy requirements and adherence
                    • +
                    • Develop Functions Data Management roadmaps
                    • +
                    • Document and analyze data management gaps against domain strategy
                    • +
                    • Build and maintain a comprehensive inventory of Data Management components within the functional lines
                    • +
                    • Establish data management forums for the functional lines of business and collaborate with CDO teams and external partners
                    • +
                    +

                    +

                    +

                    What do you need to succeed?

                    +

                    +

                    Must-have

                    +
                      +
                    • Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
                    • +
                    • Experience in issue remediation and effective escalation and resolution
                    • +
                    • Experience RBC data management and/or risk management
                    • +
                    • Exposure to regulatory responses and remediation, including but not limited to OSFI
                    • +
                    +

                    +

                    Nice-to-have

                    +
                      +
                    • Experience in RBC’s Agile Program Management Framework is an asset
                    • +
                    • Works strategically, stretching beyond traditional information management practices, leveraging industry leading and innovative approaches to solving data challenges
                    • +
                    • Understanding of Functions data is an asset. Functions include areas like Procurement, Human Resources, Corporate Real Estate, Location, Audit, Fraud, Cyber Security and more
                    • +
                    +

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                    • +
                    • Work on a dynamic topic of strategic importance
                    • +
                    • Ability to make a difference and lasting impact
                    • +
                    • Work in an agile, collaborative, progressive, and high-performing team
                    • +
                    • The opportunity to interface with executives from many different parts of the organization
                    • +
                    +

                    +

                    +

                    Job Skills

                    Big Data Management, Critical Thinking, Data Governance, Knowledge Organization, Logical Data Modeling, Long Term Planning, Repository Tools, Results-Oriented, Risk Management

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    STRATEGY AND ADMINISTRATION

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-09-19

                    Application Deadline:

                    2024-10-17

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000099322/Director-Data-Management-Enablement,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-10T08:25:02.819Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/343660828-director-data-management-enablement-at-rbc,,expired,2024-09-26T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +ca910db6-d78d-41c5-b174-856e8fbdf4d7,341819807,RBC,Lead Data Engineer (GCS),on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.524Z,"
                    +

                    Job Summary

                    +

                    Job Description

                    +

                    What is the opportunity?
                    As a Data Engineer you will be a part of the Data Analytics team, performing ETL activities, data modeling and building the data infrastructure that powers effective decision-making. You will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to protect the organization from various security threats. You will also own projects to elevate KRI reporting and be the expert on the data sets and data tools that are available.

                    +

                    You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with IT Risk strategic objectives using RBC’s Agile Ways of Working or Iterative Waterfall Frameworks and Business Agility concepts.

                    +

                    What will you do?

                    +
                      +
                    • Work in partnership with Data Analytics team to build data pipelines to support data models and ensure data quality throughout processing, automation, and modeling

                    • +
                    • Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it

                    • +
                    • Develop and maintain key risk and performance indicators and dashboards to monitor product performance, identify trends, and generate actionable insights for stakeholders.

                    • +
                    • Manage multiple complex projects, identifying dependencies and working on parallel tracks independently

                    • +
                    • Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.

                    • +
                    • Collaborate with the development team to track and resolve data quality issues or discrepancies.

                    • +
                    • Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.

                    • +
                    • Provide technical expertise in extracting, integrating, and analyzing critical data.

                    • +
                    • Design and optimize back-end systems (MS SQL Server, Snowflake) for the ETL processes

                    • +
                    • API services development and enhancement

                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    Must-have

                    +
                      +
                    • Experience using ETL framework (ex: Airflow, Dataiku, Flume, Oozie etc.) to build and deploy production-quality ETL pipelines

                    • +
                    • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions

                    • +
                    • Working knowledge of relational databases and expertise in query authoring (SQL) on large datasets

                    • +
                    • 3+ years of experience with Python or similar programming languages.

                    • +
                    • Experience working with reporting and visualization tools (Tableau preferred, experience with big data technologies such as Hadoop, Spark, Hive, etc and experience working with Git and Jira (or other source control and task management tools)

                    • +
                    • Strong interpersonal skills, both written and verbal, with the ability and confidence to succinctly convey complex information to senior management. Strong analytical and problem-solving skills, with a keen attention to detail.

                    • +
                    • Expert in Python programming to write production-ready codes. Strong data profiling, cleaning, mining, and technical documentation skills

                    • +
                    • Strong knowledge of Java, JavaScript, MS SQL, Snowflake, and data model design and understanding and passion for machine learning/AI

                    • +
                    • Experience with agile methodology and working in agile team. Critical thinker, creative problem solver. Data-driven approach

                    • +
                    • Strong written, verbal communication and presentation skills. Demonstrated drive for operational solutions and improvement

                    • +
                    • Proven professional with organized and detail-oriented work practices. Strong and supportive team player, experience on working on fast passed environment

                    • +
                    +

                    +

                    Nice-to-have

                    +
                      +
                    • Understanding and passion for machine learning/AI

                    • +
                    • Experience working with at least one of Snowflake, Redshift, PostgreSQL, and/or other DBMS platforms

                    • +
                    • Experience with agile methodology and working in agile team

                    • +
                    • Great analytical skills and familiarity with financial services industry, IT Risk

                    • +
                    +

                    +

                    What’s in it for you?
                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

                    • +
                    • Leaders who support your development through coaching and managing opportunities

                    • +
                    • Ability to make a difference and lasting impact.

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Flexible work/life balance options

                    • +
                    • Opportunities to do challenging work, opportunities to take on progressively greater accountabilities and opportunities to building close relationships with clients.

                    • +
                    +

                    +

                    #LI-Hybrid

                    +

                    #LI-Post

                    +

                    #LI-PK

                    +

                    #TECHPJ

                    +

                    +

                    +

                    Job Skills

                    Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                    +

                    +

                    +

                    Additional Job Details

                    +

                    Address:

                    330 FRONT ST W:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    TECHNOLOGY AND OPERATIONS

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-07-25

                    Application Deadline:

                    2024-08-02

                    +

                    +

                    +

                    +

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    +

                    +

                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000094731/Lead-Data-Engineer-GCS,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-10T17:30:00.000Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/341819807-lead-data-engineer-gcs-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +8b24bc87-85ab-4a81-b86d-c90f7aae5d47,342896291,Deloitte,"Data Scientist Lead, AI and Data",on_site,"Ontario, Canada",2024-09-20T16:35:02.203Z,"

                    +

                    Job Type: Permanent
                    Work Model:
                    Hybrid
                    Reference code:
                    126901
                    Primary Location:
                    Toronto, ON
                    All Available Locations:
                    Toronto, ON

                    +
                    +

                    +

                    Our Purpose

                    +

                    +

                    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                    +

                    By living our Purpose, we will make an impact that matters.

                    +
                    • Learn from deep subject matter experts through mentoring and on the job coaching
                    • Be encouraged to deepen your technical skills…whatever those may be.
                    • Be empowered to lead and have impact with clients, our communities and in the office.
                    • +
                    +
                    +
                    +
                    +

                    --

                    +

                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                    +
                    +
                    +

                    What will your typical day look like?

                    +
                    +

                    As a Data Science Lead, you would take a lead in delivering advisory services to high growth organizations, managing, and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                    +


                    You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer and model maintenance. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids

                    +
                    +
                    +
                    +

                    About the team

                    +

                    Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI)transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                    +
                    +
                    +

                    Enough about us, let’s talk about you

                    +
                    +

                    You are someone with:

                    +
                    • Significant data analysis experience using Python
                    • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
                    • 5+ years relevant work experience with applying analytics or working with data in any industry
                    • Leadership or management experience including project management in analytical or data driven field
                    • Strong experience with statistical analytical techniques, data mining, and predictive models
                    • Database and programming languages experience and data manipulation and integration skills using (one ormore) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                    • Experience with optimization modelling, machine learning, forecasting and/or natural language processing
                    • Ability to understand business significance of the data, work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                    • Enthusiastic about solving complex problems with a variety of analytical tools
                    • Professional services, consulting, or advisory experience is an asset
                    • Strong oral and written communication skills
                    • Interest in continuing to develop analytical and business development skills
                    • Advanced degree (MSc, equivalent or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or related field is required.
                    • +
                    +
                    +
                    +
                    +

                    Total Rewards

                    +


                    The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                    Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                    +
                    +
                    +

                    +

                    Our promise to our people: Deloitte is where potential comes to life.

                    +

                    +

                    Be yourself, and more.

                    +

                    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                    +

                    You shape how we make impact.

                    +

                    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                    +

                    Be the leader you want to be

                    +

                    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                    +

                    Have as many careers as you want.

                    +

                    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                    The next step is yours

                    +

                    +

                    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                    +

                    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                    +

                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                    +

                    ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-Lead%2C-AI-and-Data-ON/1201920300/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-10T16:41:03.907Z,False,0,6,38,https://talenthub.vectorinstitute.ai/jobs/342896291-data-scientist-lead-ai-and-data-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-Lead%2C-AI-and-Data-ON/1201920300/,expired,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Masters Degree,New Posting, +e1849a76-152f-4c16-8173-c59517230a57,341247743,Deloitte,Machine Learning (ML) Engineer,on_site,"Ontario, Canada",2024-09-08T16:35:02.537Z,"

                    +

                    Job Type: Permanent
                    Work Model:
                    Hybrid
                    Reference code:
                    126900
                    Primary Location:
                    Toronto, ON
                    All Available Locations:
                    Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

                    +
                    +

                    +

                    Our Purpose

                    +

                    +

                    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                    +

                    By living our Purpose, we will make an impact that matters.

                    +
                    • Learn from deep subject matter experts through mentoring and on the job coaching
                    • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                    • Be encouraged to deepen your technical skills…whatever those may be.
                    • Build your leadership skills at Deloitte University.
                    • Have many careers in one Firm.
                    • Partner with clients to solve their most complex problems
                    • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                    • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                    • Experience a firm where wellness matters.
                    • Experience MyFlex and an agile work environment where work is what you do not where you do it
                    • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                    • Build a network of colleagues for life
                    • Have an impact that matters through pro bono and significant volunteer opportunities.
                    • Be empowered to lead and have impact with clients, our communities and in the office.
                    • Be expected to share your ideas and to make them a reality.
                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                    • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
                    • +
                    +
                    +
                    +
                    +

                    --

                    +
                    +
                    +
                    +

                    What will your typical day look like?

                    +

                    As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                    +
                    +
                    +

                    About the team

                    +

                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                    +
                    +
                    +

                    Enough about us, let’s talk about you

                    +
                    +

                    You are someone with:

                    +
                    • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                    • Good understanding of ML and Al concepts. Hands-on experience in ML model development.
                    • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google Al Platform, Azure Machine Learning, Databricks, DataRobot, MLFlow).
                    • Strong experience in Python and PySpark, used both for ML and automation tasks.
                    • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                    • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                    • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                    • Strong oral and written communication skills
                    • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                    • Experience with Azure and/or AWS platforms is an asset
                    • Project management experience is an asset
                    • Professional services, consulting, or advisory experience is an asset
                    • +
                    +
                    +
                    +
                    +

                    Total Rewards

                    +


                    The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                    Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                    +
                    +
                    +

                    +

                    Our promise to our people: Deloitte is where potential comes to life.

                    +

                    +

                    Be yourself, and more.

                    +

                    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                    +

                    You shape how we make impact.

                    +

                    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                    +

                    Be the leader you want to be

                    +

                    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                    +

                    Have as many careers as you want.

                    +

                    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                    The next step is yours

                    +

                    +

                    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                    +

                    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                    +

                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                    +

                    ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-09T17:01:56.652Z,False,0,35,168,https://talenthub.vectorinstitute.ai/jobs/341247743-machine-learning-ml-engineer-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,expired,2024-09-08T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, b67843a0-496a-4381-a689-f421e4fc6890,337773192,Thomson Reuters,Data & Analytics Program Manager,on_site,"Ontario, Canada",2024-08-12T05:52:01.458Z,"
                    JOB DESCRIPTION

                    PRIMARY OBJECTIVE:

                    The Data & Analytics Organization PMO is looking for a highly motivated individual with strong organizational skills for the position of Program Manager. This position provides project management and business analysis services while working on data management and software development projects.

                    @@ -42804,466 +44819,21 @@ b88e978e-b617-40f9-a0b7-120435fd4ea3,342354425,TELUS,Sr Data Analyst,on_site,"On
                  • Good communications and large group presentation skills (verbal and written). Some experience with business and/or technical documentation and the assessment of existing processes and systems.

                  • -

                    Nice-to-have

                    -
                      -
                    • Initiative-taker, highly motivated, having a strong drive to achieve tangible results.

                    • -
                    • Ability to manage multiple competing priorities in times of stress.

                    • -
                    • Ability to analyze and comprehend complex financial products, reporting, statistical analysis, and data related issues.

                    • -
                    • Familiarity with financial service regulatory requirements, reporting, and guidelines (e.g., BCBS239, IFRS 9, CECL).

                    • -
                    • Professional Certification (CPA, CFA, FRM and/or other).

                    • -
                    -

                    -

                    -

                    Job Skills

                    Accounting, Business Systems, Critical Thinking, Data Administration, Database Structures, Data Controls, Data Management, Data Modeling, Data Movement, Data Quality, Data Systems, Detail-Oriented, Documentations, Finance, Group Problem Solving, Information Capture, Management Reporting, Process Improvements, Reconciliations, Risk Management, Standard Operating Procedure (SOP), Structured Query Language (SQL), Teamwork, Training People

                    -

                    -

                    -

                    Additional Job Details

                    -

                    Address:

                    BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

                    City:

                    TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    STRATEGY AND ADMINISTRATION

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2024-09-04

                    Application Deadline:

                    2024-09-21

                    -

                    -

                    -

                    -

                    -
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    -

                    -

                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000098750/Senior-Data-Management-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-23T23:57:00.000Z,False,0,5,14,https://talenthub.vectorinstitute.ai/jobs/341819808-senior-data-management-analyst-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -796b395d-0d76-4e0a-a589-190dd11ad4d7,342711817,Roche,Data Scientist,on_site,"Ontario, Canada",2024-09-19T12:47:01.836Z,"
                    -

                    Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                    -

                    The Position

                    -

                    -

                    Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to

                    -

                    keep breaking new ground.

                    -

                    As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from multiple data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products.

                    -

                    The Opportunity:

                    -
                      -
                    • Be accountable for the development and implementation of Data Science products focusing on Natural Language Processing leveraging LLMs and Generative AI tools.

                    • -
                    • Support proactive identification of the most relevant LLM/NLP use cases in collaboration with the key stakeholders.

                    • -
                    • Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimizing their performance to provide valuable insights and solutions to business stakeholders

                    • -
                    • Support prioritization efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster.

                    • -
                    • Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders.

                    • -
                    • Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis.

                    • -
                    -

                    Who you are:

                    -
                      -
                    • M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence and at least 5-7 years of hands-on experience as a Data Scientist.

                    • -
                    • Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.)

                    • -
                    • Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks

                    • -
                    • Theoretical knowledge in LLM/GenAI (RAG, Vector DB, Embedding, Fine Tuning, ReAct reasoning, LoRA, Prompt Engineering)

                    • -
                    • Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration

                    • -
                    • Experience in the pharmaceutical/biotech industry is preferred.

                    • -
                    -

                    -

                    -

                    Relocation benefits are not available for this position.

                    -

                    -

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -
                    -

                    -

                    Roche is an Equal Opportunity Employer.

                    -
                    -
                    ",,https://careers.roche.com/global/en/job/202409-123485/Data-Scientist,feed-importer@jobboard.io,,,,2024-09-23T23:59:00.000Z,False,0,12,81,https://talenthub.vectorinstitute.ai/jobs/342711817-data-scientist-at-roche,,expired,2024-09-19T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, -5850fafb-7508-4c12-bfcc-998521460419,342737707,TD Bank Group,"AVP, FCRM, AI and Advanced Analytics Management (CAN & EAP)",hybrid,"Toronto, ON, Canada",2024-09-19T18:16:53.777Z,"

                    Work Location:

                    -

                    Canada

                    -

                    -

                    Hours:

                    -

                    37.5

                    -

                    -

                    Line of Business:

                    -

                    Data & Analytics

                    -

                    -

                    Pay Details:

                    -

                    We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                    -

                    -

                    Job Description:

                    -

                    Reporting to the VP, Financial Crimes Risk Management (FCRM), Data and Model Management, we are looking for an accomplished leader to join our team as the Assistant Vice President (AVP), FCRM, AI & Advanced Analytics Management (CAN & EAP). Supports the continuous enhancements of FCRM-owned models including Transaction Monitoring and Customer Risk Rating models, by exploring and introducing advanced analytics and technologies including machine learning and artificial intelligence and advising FCRM leadership on the roadmap and strategy based on industry best practices right sized and right timed for TD.

                    -


                    Individual Role Accountabilities and Decision Authorities / Breadth, Depth & Scope:

                    -
                      -
                    • Investigate, develop and facilitate adoption of advanced analytics, AI, machine learning, NLP, and various modelling tooling and solutions to support model and data management for FCRM
                    • -
                    • Manage advances in AI and machines learning within data and model management function to increase effectiveness of models and create efficiencies
                    • -
                    • Drive risk-based decisioning and modeling innovations using advanced AI and machine learning solutions
                    • -
                    • Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
                    • -
                    • Maintain a robust understanding of industry (insights/foresights) to deliver AI/Machine Learning capability across modelling and data teams
                    • -
                    • Ensure an adherence to the Bank’s risk culture
                    • -
                    • Hire, develop and retain top talent through the enablement of an inclusive environment
                    • -
                    -

                    -

                    Shared Responsibilities / Decision Authorities

                    -
                      -
                    • Collaborates and supports AVP, Model Management and AVP, Data Governance on the optimal implementation of advanced solutions while adhering to key regulatory expectations
                    • -
                    • Collaborates with Enterprise Data and Analytics and Layer 6 teams regarding trends and developments in data science, artificial intelligence and machine learning
                    • -
                    • As a key member of the leadership team collaborates with business partners to find appropriate solutions to risk measurement and assessment challenges to ensure an appropriate balance between complexity of models and a transparent link between risk drivers and outputs
                    • -
                    -
                      -
                    • Marrying AI/Machine Learning and other advanced analytics solutions to particular business problems.
                    • -
                    • Manage function within parameters of financial plan
                    • -
                    • Remains within TD risk appetite
                    • -
                    -

                    -

                    Capabilities Required

                    -
                      -
                    • Subject Matter Expert in data, machine learning and artificial intelligence
                    • -
                    • Possesses and demonstrates expertise in AML/ATF processes and programs
                    • -
                    • Strategic thinker and clear communicator
                    • -
                    • Skilled leader, inspires and operates through influence,
                    • -
                    • Delivers on objectives, focuses on what matters and can work across silos to build effective working relationships
                    • -
                    • Clear, concise communicator – able to explain complex concepts to diverse stakeholders and educate on technical ideas and methodologies to groups and individuals with and without technical expertise in these areas
                    • -
                    • Ability to drive large-scale, complex projects
                    • -
                    • Strong stakeholder management, communication and influencing skills
                    • -
                    • Strong financial and business acumen
                    • -
                    • Strategic thinking, balanced by operational pragmatism
                    • -
                    -


                    Skills, Education & Experience

                    -
                      -
                    • Undergraduate degree required, advanced technical degree including Master or PhD in a quantitative discipline (e.g. economics, statistics, mathematics, engineering or operations research) preferred
                    • -
                    • 15+ years of experience in financial modelling, data science or other relevant field
                    • -
                    • Extensive experience and advanced expertise in statistics, numerical methods, modeling tools, optimization, and operations within the financial services sector
                    • -
                    • Knowledge of financial service products and risk characteristics
                    • -
                    • Excellent proven management and leadership skills required to direct a group of quantitative analysts in diverse fields and to ensure unit plans and objectives are achieved
                    • -
                    • Excellent communication skills: ability to communicate and educate on technical and complex ideas and methodologies to groups and individuals with and without technical expertise in these areas
                    • -
                    • Experience presenting to Senior Executives, Board members, regulators and other external entities/stakeholders
                    • -
                    • Demonstrated experience operating in a complex, matrix environment
                    • -
                    • Organizational and time-management skills
                    • -
                    • Ability to deliver day to day commitments and complex projects on time and within budget
                    • -
                    -

                    -

                    Who We Are:

                    -

                    TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                    -

                    -

                    TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                    -

                    -

                    Our Total Rewards Package
                    Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                    -

                    -

                    Additional Information:
                    We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                    Colleague Development
                    If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                    -

                    Training & Onboarding
                    We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                    -

                    -

                    Interview Process
                    We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                    -


                    Accommodation
                    Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                    We look forward to hearing from you!

                    -

                    -

                    Language Requirement:

                    -

                    N/A.

                    ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/AVP--FCRM--AI-and-Advanced-Analytics-Management--CAN---EAP-_R_1367844?q=Ontario&jobFamilyGroup=de76965296350195765906b50704e3ab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-23T23:59:00.000Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/342737707-avp-fcrm-ai-and-advanced-analytics-management-can-eap-at-td-bank-group,,expired,2024-09-19T18:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -66aa679a-bc1b-42e2-ad16-ee6ff1c9e6c9,342453582,Roche,Data Scientist,hybrid,"Mississauga, ON, Canada",2024-09-17T16:55:11.923Z,"

                    Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                    -

                    As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from multiple data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products.

                    -

                    -

                    The Opportunity:

                    -
                      -
                    • Be accountable for the development and implementation of Data Science products focusing on Natural Language Processing leveraging LLMs and Generative AI tools.
                    • -
                    • Support proactive identification of the most relevant LLM/NLP use cases in collaboration with the key stakeholders.
                    • -
                    • Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimizing their performance to provide valuable insights and solutions to business stakeholders
                    • -
                    • Support prioritization efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster.
                    • -
                    • Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders.
                    • -
                    • Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis.
                      -
                    • -
                    -

                    -

                    Who you are:

                    -
                      -
                    • M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence and at least 5-7 years of hands-on experience as a Data Scientist.
                    • -
                    • Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.)
                    • -
                    • Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks
                    • -
                    • Theoretical knowledge in LLM/GenAI (RAG, Vector DB, Embedding, Fine Tuning, ReAct reasoning, LoRA, Prompt Engineering)
                    • -
                    • Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration
                    • -
                    • Experience in the pharmaceutical/biotech industry is preferred.
                    • -
                    -

                    -

                    Relocation benefits are not available for this position.

                    -

                    -

                    -

                    -
                      ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-Scientist_202409-123485,georgia.rizoulis@roche.com,https://www.roche.com/careers.htm,,,2024-09-23T23:58:00.000Z,False,0,29,145,https://talenthub.vectorinstitute.ai/jobs/342453582-data-scientist-at-roche,,expired,2024-09-17T16:55:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, -c4333aa3-5d7c-46c1-afc6-35811930e175,342714138,CIBC,Applied AI Researcher,on_site,"Ontario, Canada",2024-09-19T13:59:02.440Z,"
                      -

                      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                      -

                      -

                      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                      -

                      -

                      To learn more about CIBC, please visit CIBC.com

                      -

                      -

                      -

                      The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                      -

                      As an Applied AI Researcher, you will have an individual contributor (IC) role driving strategic direction through collaboration with Data Science, Engineering and Product leaders across CIBC. You will play a crucial role in developing, improving, and exploring the capabilities of AI and Generative AI models.

                      -

                      -

                      At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                      -

                      -

                      How You will Succeed

                      -
                        -
                      • Applied AI competence: Tackle difficult and meaningful projects in domains such as systems based on foundation models, multi-agent AI, emerging AI experiences and responsible AI. Your work will make a significant difference in advancing cutting-edge technology and providing practical solutions to real-world problems.

                      • -
                      • Research Skills: Acquire and evaluate a wide area of research including deep learning, NLP, statistical modeling, and the related literature. Apply knowledge about new tools, technologies, and methods to support the development and implementation of these technologies.

                      • -
                      • Science-driven innovation: Work with other researchers, engineers, and product groups. Represent CIBC in the research community, collaborating with faculty members in the relevant AI research functions.

                      • -
                      -

                      -

                      Who You Are

                      -
                        -
                      • You have advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                      • -
                      • You understand theoretical AI concepts and stay current with the progress of AI. You have a record of impactful projects and publications in related fields or top-tier conferences and journals

                      • -
                      • You can demonstrate excellent coding skills and hands-on experience working with large foundation models and related frameworks and toolkits, preferably Python. You are familiar with LLMs such as the OpenAI Generative Pre-Trained Transformers models, LLAMA etc., model finetuning methods, prompting methods, and model evaluation.

                      • -
                      • You have a PhD in computer science, mathematics, or other related disciplines, and 3+ years in related research experience, or relevant experience.

                      • -
                      • You are motivated by collective success. You value collaboration and know that it can make a good idea even better. You embrace the power of an inclusive team that enjoys working together to achieve a shared vision.

                      • -
                      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                      • -
                      -

                      -

                      -

                      What CIBC Offers

                      -

                      -

                      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                      -
                        -
                      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                      • -
                      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                      • -
                      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                      • -
                      -

                      -

                      *Subject to plan and program terms and conditions

                      -

                      -

                      What you need to know

                      -
                        -
                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                      • -
                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                      • -
                      • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                      • -
                      -

                      -

                      -

                      -

                      -

                      -

                      Job Location

                      Toronto-81 Bay, 21st Floor

                      -

                      Employment Type

                      Regular

                      -

                      Weekly Hours

                      37.5

                      -

                      Skills

                      AI Programming, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Data Analysis, Data Science, Deep Learning, Machine Learning, Natural Language Processing (NLP), Pandas (Software), Python (Programming Language), Researching
                      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Applied-AI-Researcher_2413148?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-07T10:09:04.084Z,False,0,40,230,https://talenthub.vectorinstitute.ai/jobs/342714138-applied-ai-researcher-at-cibc,,expired,2024-09-19T13:59:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -c133fcfc-d889-4b12-9859-934e765a7721,343668672,CIBC,AI and Data Science,on_site,"Ontario, Canada",2024-09-26T10:04:02.053Z,"
                      -

                      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                      -

                      -

                      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                      -

                      -

                      To learn more about CIBC, please visit CIBC.com

                      -

                      -

                      -

                      What You will Be Doing

                      -

                      The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                      -

                      -

                      With your defined practical experience in the domain of Advanced Data Science, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                      -

                      -

                      At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                      -

                      -

                      How You’ll Succeed

                      -
                        -
                      • Data Science Expertise- Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                      • -
                      • Analytical Partner- You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                      • -
                      • Ignite innovation, drive actions- Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                      • -
                      -

                      -

                      Who You Are

                      -
                        -
                      • You can demonstrate experience in Predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                      • -
                      • You understand advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                      • -
                      • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                      • -
                      • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                      • -
                      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                      • -
                      -

                      -

                      What CIBC Offers

                      -

                      -

                      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                      -
                        -
                      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                      • -
                      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                      • -
                      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                      • -
                      -

                      -

                      *Subject to plan and program terms and conditions

                      -

                      -

                      What you need to know

                      -
                        -
                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                      • -
                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                      • -
                      • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                      • -
                      -

                      -

                      -

                      -

                      -

                      -

                      Job Location

                      Toronto-81 Bay, 21st Floor

                      -

                      Employment Type

                      Regular

                      -

                      Weekly Hours

                      37.5

                      -

                      Skills

                      Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
                      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-07T10:09:04.084Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/343668672-ai-and-data-science-at-cibc,,expired,2024-09-26T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Scaling (20-499),Application Click Through,Technology (Information and Media),,Masters Degree,New Posting, -8d502d63-5e8f-4150-af99-5363d90e9845,344287952,Scotiabank,Data Engineer,on_site,Canada : Ontario : Toronto,2024-09-30T16:30:03.104Z,"

                      -

                      -

                      -

                      -

                      Requisition ID: 200689

                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                      -

                      -

                      The Team

                      -

                      -

                      Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms. Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements. Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms

                      -

                      -

                      The role:

                      -

                      -
                      • Contributes to the overall success of the Data Engineering and Data Services in Canada

                      • Ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                      • Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                      • -
                      -

                      -

                      Is this role right for you? In this role you will:

                      -

                      -
                      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                      • Champions a high-performance environment and contributes to an inclusive work environment.

                      • Participate in the implementation of data engineering and transformation solutions to ensure highly scalable, extensible, and performant solutions.

                      • Contribute to the delivery of data ingestion, transformation and extraction solutions in Enterprise Data Lake (EDL) Big Data platform

                      • Hands-on development supporting Data integration, Analytics and Cloud environments.

                      • Support existing data ingestion and data transformation solutions in the production environment

                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                      • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                      • -
                      -

                      -

                      Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                      -

                      -
                      • At least 4 years of experience working with Hadoop Hive, Apache Sqoop, Apache Spark (must-have)

                      • Exposure and familiarity with Talend ETL tool (or similar products – must have)

                      • 3+ years of production support experience (must-have)

                      • 4+ years of software development (SDLC) experience in Agile Scrum/Kanban methodology (must-have)

                      • Hands-on experience with Unix/Linux Command Line Interface (CLI) (must-have)

                      • Strong communication and presentation skills

                      • Basic RDBMS skills and experience (Oracle, SQL Server) (must-have)

                      • 2+ years of hands-on experience with Python or Spark (must-have)

                      • Working experience with DevOps and running Jenkins pipelines (nice-to-have)

                      • Experience with code repository, version control and code promotion tools such as Git/Bitbucket and Jenkins (nice-to-have)

                      • -
                      -

                      -

                      What's in it for you?

                      -

                      -
                      • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                      • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                      • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                      • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                      • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                      • -
                      -

                      -

                      Working location condition: Hybrid

                      -

                      -

                      #LI-Hybrid

                      -

                      -

                      Location(s): Canada : Ontario : Toronto

                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                      ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M1L4S2/582024917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-07T16:36:09.633Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/344287952-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M1L4S2/582024917/,expired,2024-09-30T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b82f804b-eadd-44fd-983d-d0d1df34110a,343660828,RBC,"Director, Data Management Enablement",on_site,"Toronto, ON, Canada",2024-09-26T08:20:02.342Z,"
                      -

                      Job Summary

                      -

                      -

                      -

                      Job Description

                      -

                      -

                      What is the opportunity?

                      -

                      -

                      Enterprise Data Management Office (EDMO) is the facilitating body for all Data Management Offices for RBC focused on driving consistency and standardization across the DMOs. EDMO will partner with the DMOs to establish an effective DMO Target Operating Model and leading the Data Management and Compliance Council (DMCC) forum for all data management activities across RBC. EDMO also enables and supports the Functional Data Domains across RBC ensuring consistency in the implementation of the Standards of Care.

                      -

                      -

                      The Director, Data Management Enablement will work closely with functions line of business to establish and accelerate data management activities that benefit business opportunities while establishing data domain control points resulting in a data management strategy and execution that unlocks the business value of data in a safe policy adherent manner

                      -

                      -

                      What will you do?

                      -
                        -
                      • Identify and build re-useable acceleration strategies around data management gap and business priorities
                      • -
                      • Meet FY Policy deliverables to support business priorities and align with Data Policy requirements and adherence
                      • -
                      • Develop Functions Data Management roadmaps
                      • -
                      • Document and analyze data management gaps against domain strategy
                      • -
                      • Build and maintain a comprehensive inventory of Data Management components within the functional lines
                      • -
                      • Establish data management forums for the functional lines of business and collaborate with CDO teams and external partners
                      • -
                      -

                      -

                      -

                      What do you need to succeed?

                      -

                      -

                      Must-have

                      -
                        -
                      • Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
                      • -
                      • Experience in issue remediation and effective escalation and resolution
                      • -
                      • Experience RBC data management and/or risk management
                      • -
                      • Exposure to regulatory responses and remediation, including but not limited to OSFI
                      • -
                      -

                      -

                      Nice-to-have

                      -
                        -
                      • Experience in RBC’s Agile Program Management Framework is an asset
                      • -
                      • Works strategically, stretching beyond traditional information management practices, leveraging industry leading and innovative approaches to solving data challenges
                      • -
                      • Understanding of Functions data is an asset. Functions include areas like Procurement, Human Resources, Corporate Real Estate, Location, Audit, Fraud, Cyber Security and more
                      • -
                      -

                      -

                      -

                      What’s in it for you?

                      -

                      We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                      -
                        -
                      • A comprehensive Total Rewards Program including bonuses and flexible benefits
                      • -
                      • Work on a dynamic topic of strategic importance
                      • -
                      • Ability to make a difference and lasting impact
                      • -
                      • Work in an agile, collaborative, progressive, and high-performing team
                      • -
                      • The opportunity to interface with executives from many different parts of the organization
                      • -
                      -

                      -

                      -

                      Job Skills

                      Big Data Management, Critical Thinking, Data Governance, Knowledge Organization, Logical Data Modeling, Long Term Planning, Repository Tools, Results-Oriented, Risk Management

                      -

                      -

                      -

                      Additional Job Details

                      -

                      Address:

                      BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

                      City:

                      TORONTO

                      Country:

                      Canada

                      Work hours/week:

                      37.5

                      Employment Type:

                      Full time

                      Platform:

                      STRATEGY AND ADMINISTRATION

                      Job Type:

                      Regular

                      Pay Type:

                      Salaried

                      Posted Date:

                      2024-09-19

                      Application Deadline:

                      2024-10-17

                      -

                      -

                      -

                      -

                      -
                      -

                      Inclusion and Equal Opportunity Employment

                      -

                      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                      ​​​​​​​
                      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                      -
                      -

                      -

                      -

                      -

                      Join our Talent Community

                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                      -
                      ",,https://jobs.rbc.com/ca/en/job/R-0000099322/Director-Data-Management-Enablement,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-10T08:25:02.819Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/343660828-director-data-management-enablement-at-rbc,,expired,2024-09-26T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -ca910db6-d78d-41c5-b174-856e8fbdf4d7,341819807,RBC,Lead Data Engineer (GCS),on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.524Z,"
                      -

                      Job Summary

                      -

                      Job Description

                      -

                      What is the opportunity?
                      As a Data Engineer you will be a part of the Data Analytics team, performing ETL activities, data modeling and building the data infrastructure that powers effective decision-making. You will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to protect the organization from various security threats. You will also own projects to elevate KRI reporting and be the expert on the data sets and data tools that are available.

                      -

                      You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with IT Risk strategic objectives using RBC’s Agile Ways of Working or Iterative Waterfall Frameworks and Business Agility concepts.

                      -

                      What will you do?

                      -
                        -
                      • Work in partnership with Data Analytics team to build data pipelines to support data models and ensure data quality throughout processing, automation, and modeling

                      • -
                      • Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it

                      • -
                      • Develop and maintain key risk and performance indicators and dashboards to monitor product performance, identify trends, and generate actionable insights for stakeholders.

                      • -
                      • Manage multiple complex projects, identifying dependencies and working on parallel tracks independently

                      • -
                      • Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.

                      • -
                      • Collaborate with the development team to track and resolve data quality issues or discrepancies.

                      • -
                      • Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.

                      • -
                      • Provide technical expertise in extracting, integrating, and analyzing critical data.

                      • -
                      • Design and optimize back-end systems (MS SQL Server, Snowflake) for the ETL processes

                      • -
                      • API services development and enhancement

                      • -
                      -

                      -

                      What do you need to succeed?

                      -

                      Must-have

                      -
                        -
                      • Experience using ETL framework (ex: Airflow, Dataiku, Flume, Oozie etc.) to build and deploy production-quality ETL pipelines

                      • -
                      • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions

                      • -
                      • Working knowledge of relational databases and expertise in query authoring (SQL) on large datasets

                      • -
                      • 3+ years of experience with Python or similar programming languages.

                      • -
                      • Experience working with reporting and visualization tools (Tableau preferred, experience with big data technologies such as Hadoop, Spark, Hive, etc and experience working with Git and Jira (or other source control and task management tools)

                      • -
                      • Strong interpersonal skills, both written and verbal, with the ability and confidence to succinctly convey complex information to senior management. Strong analytical and problem-solving skills, with a keen attention to detail.

                      • -
                      • Expert in Python programming to write production-ready codes. Strong data profiling, cleaning, mining, and technical documentation skills

                      • -
                      • Strong knowledge of Java, JavaScript, MS SQL, Snowflake, and data model design and understanding and passion for machine learning/AI

                      • -
                      • Experience with agile methodology and working in agile team. Critical thinker, creative problem solver. Data-driven approach

                      • -
                      • Strong written, verbal communication and presentation skills. Demonstrated drive for operational solutions and improvement

                      • -
                      • Proven professional with organized and detail-oriented work practices. Strong and supportive team player, experience on working on fast passed environment

                      • -
                      -

                      -

                      Nice-to-have

                      -
                        -
                      • Understanding and passion for machine learning/AI

                      • -
                      • Experience working with at least one of Snowflake, Redshift, PostgreSQL, and/or other DBMS platforms

                      • -
                      • Experience with agile methodology and working in agile team

                      • -
                      • Great analytical skills and familiarity with financial services industry, IT Risk

                      • -
                      -

                      -

                      What’s in it for you?
                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                      +

                      Nice-to-have

                        -
                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

                      • -
                      • Leaders who support your development through coaching and managing opportunities

                      • -
                      • Ability to make a difference and lasting impact.

                      • -
                      • Work in a dynamic, collaborative, progressive, and high-performing team

                      • -
                      • Flexible work/life balance options

                      • -
                      • Opportunities to do challenging work, opportunities to take on progressively greater accountabilities and opportunities to building close relationships with clients.

                      • +
                      • Initiative-taker, highly motivated, having a strong drive to achieve tangible results.

                      • +
                      • Ability to manage multiple competing priorities in times of stress.

                      • +
                      • Ability to analyze and comprehend complex financial products, reporting, statistical analysis, and data related issues.

                      • +
                      • Familiarity with financial service regulatory requirements, reporting, and guidelines (e.g., BCBS239, IFRS 9, CECL).

                      • +
                      • Professional Certification (CPA, CFA, FRM and/or other).

                      -

                      -

                      #LI-Hybrid

                      -

                      #LI-Post

                      -

                      #LI-PK

                      -

                      #TECHPJ

                      -

                      Job Skills

                      Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                      +

                      Job Skills

                      Accounting, Business Systems, Critical Thinking, Data Administration, Database Structures, Data Controls, Data Management, Data Modeling, Data Movement, Data Quality, Data Systems, Detail-Oriented, Documentations, Finance, Group Problem Solving, Information Capture, Management Reporting, Process Improvements, Reconciliations, Risk Management, Standard Operating Procedure (SOP), Structured Query Language (SQL), Teamwork, Training People

                      Additional Job Details

                      -

                      Address:

                      330 FRONT ST W:TORONTO

                      City:

                      TORONTO

                      Country:

                      Canada

                      Work hours/week:

                      37.5

                      Employment Type:

                      Full time

                      Platform:

                      TECHNOLOGY AND OPERATIONS

                      Job Type:

                      Regular

                      Pay Type:

                      Salaried

                      Posted Date:

                      2024-07-25

                      Application Deadline:

                      2024-08-02

                      +

                      Address:

                      BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

                      City:

                      TORONTO

                      Country:

                      Canada

                      Work hours/week:

                      37.5

                      Employment Type:

                      Full time

                      Platform:

                      STRATEGY AND ADMINISTRATION

                      Job Type:

                      Regular

                      Pay Type:

                      Salaried

                      Posted Date:

                      2024-09-04

                      Application Deadline:

                      2024-09-21

                      @@ -43276,359 +44846,156 @@ ca910db6-d78d-41c5-b174-856e8fbdf4d7,341819807,RBC,Lead Data Engineer (GCS),on_s

                      Join our Talent Community

                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                      -
                      ",,https://jobs.rbc.com/ca/en/job/R-0000094731/Lead-Data-Engineer-GCS,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-10T17:30:00.000Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/341819807-lead-data-engineer-gcs-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -ac62b895-e68e-406d-b507-54d89f2590cc,342742086,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2024-09-19T19:51:23.880Z,"

                      We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                      -

                      As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                      -

                      Must-Have

                      -
                        -
                      • Experience with building and scaling data-intensive software in Java
                      • -
                      • You value good software design and sweat over details in code and API design
                      • -
                      • Knowledge of machine learning modelling workflow
                      • -
                      • You enjoy learning new technology and also educating others
                      • -
                      • You strive to communicate clearly and with empathy
                      • -
                      • You take great personal pride in building robust and scalable software
                      • -
                      • You are highly accountable and have a strong sense of ownership
                      • -
                      • Ability to do detailed code reviews and give thoughtful feedback
                      • -
                      -

                      -

                      Nice to have

                      -
                        -
                      • Experience building a library or a framework
                      • -
                      • Knowledge of machine learning algorithms
                      • -
                      • Experience with Kubernetes
                      • -
                      • Data analytics
                      • -
                      • Comfortable with math or statistics
                      • -
                      -

                      Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                      ",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,14,113,https://talenthub.vectorinstitute.ai/jobs/342742086-machine-learning-engineer-framework-at-layer-6,,expired,2024-09-19T19:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -df2d38c7-7289-42dc-98f5-65641123e7eb,342742091,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2024-09-19T19:55:35.013Z,"

                      Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                      -

                      Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                      -

                      Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                      -

                      Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                      -

                      As a machine learning scientist, you will

                      +
                      ",,https://jobs.rbc.com/ca/en/job/R-0000098750/Senior-Data-Management-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-23T23:57:00.000Z,False,0,5,14,https://talenthub.vectorinstitute.ai/jobs/341819808-senior-data-management-analyst-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +796b395d-0d76-4e0a-a589-190dd11ad4d7,342711817,Roche,Data Scientist,on_site,"Ontario, Canada",2024-09-19T12:47:01.836Z,"
                      +

                      Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                      +

                      The Position

                      +

                      +

                      Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to

                      +

                      keep breaking new ground.

                      +

                      As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from multiple data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products.

                      +

                      The Opportunity:

                        -
                      • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                      • -
                      • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                      • -
                      • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                      • -
                      • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                      • +
                      • Be accountable for the development and implementation of Data Science products focusing on Natural Language Processing leveraging LLMs and Generative AI tools.

                      • +
                      • Support proactive identification of the most relevant LLM/NLP use cases in collaboration with the key stakeholders.

                      • +
                      • Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimizing their performance to provide valuable insights and solutions to business stakeholders

                      • +
                      • Support prioritization efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster.

                      • +
                      • Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders.

                      • +
                      • Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis.

                      -

                      Required Qualifications

                      +

                      Who you are:

                        -
                      • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                      • -
                      • Strong background in machine learning
                      • -
                      • 5+ years of research experience with publication record
                      • -
                      • Proven track record of applying machine learning to solve real-world problems
                      • +
                      • M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence and at least 5-7 years of hands-on experience as a Data Scientist.

                      • +
                      • Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.)

                      • +
                      • Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks

                      • +
                      • Theoretical knowledge in LLM/GenAI (RAG, Vector DB, Embedding, Fine Tuning, ReAct reasoning, LoRA, Prompt Engineering)

                      • +
                      • Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration

                      • +
                      • Experience in the pharmaceutical/biotech industry is preferred.

                      -

                      Preferred Qualifications

                      +

                      +

                      +

                      Relocation benefits are not available for this position.

                      +

                      +

                      +

                      Who we are

                      +

                      At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                      +

                      +

                      Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                      +

                      +

                      As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                      +
                      +

                      +

                      Roche is an Equal Opportunity Employer.

                      +
                      +
                      ",,https://careers.roche.com/global/en/job/202409-123485/Data-Scientist,feed-importer@jobboard.io,,,,2024-09-23T23:59:00.000Z,False,0,12,81,https://talenthub.vectorinstitute.ai/jobs/342711817-data-scientist-at-roche,,expired,2024-09-19T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +5850fafb-7508-4c12-bfcc-998521460419,342737707,TD Bank Group,"AVP, FCRM, AI and Advanced Analytics Management (CAN & EAP)",hybrid,"Toronto, ON, Canada",2024-09-19T18:16:53.777Z,"

                      Work Location:

                      +

                      Canada

                      +

                      +

                      Hours:

                      +

                      37.5

                      +

                      +

                      Line of Business:

                      +

                      Data & Analytics

                      +

                      +

                      Pay Details:

                      +

                      We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                      +

                      +

                      Job Description:

                      +

                      Reporting to the VP, Financial Crimes Risk Management (FCRM), Data and Model Management, we are looking for an accomplished leader to join our team as the Assistant Vice President (AVP), FCRM, AI & Advanced Analytics Management (CAN & EAP). Supports the continuous enhancements of FCRM-owned models including Transaction Monitoring and Customer Risk Rating models, by exploring and introducing advanced analytics and technologies including machine learning and artificial intelligence and advising FCRM leadership on the roadmap and strategy based on industry best practices right sized and right timed for TD.

                      +


                      Individual Role Accountabilities and Decision Authorities / Breadth, Depth & Scope:

                        -
                      • Experience with deep learning and/or collaborative filtering
                      • -
                      • Hands on experience in software systems development and SaaS applications
                      • -
                      • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                      • -
                      • Experience using GPUs for accelerated deep learning training
                      • -
                      • Familiarity with AWS
                      • +
                      • Investigate, develop and facilitate adoption of advanced analytics, AI, machine learning, NLP, and various modelling tooling and solutions to support model and data management for FCRM
                      • +
                      • Manage advances in AI and machines learning within data and model management function to increase effectiveness of models and create efficiencies
                      • +
                      • Drive risk-based decisioning and modeling innovations using advanced AI and machine learning solutions
                      • +
                      • Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
                      • +
                      • Maintain a robust understanding of industry (insights/foresights) to deliver AI/Machine Learning capability across modelling and data teams
                      • +
                      • Ensure an adherence to the Bank’s risk culture
                      • +
                      • Hire, develop and retain top talent through the enablement of an inclusive environment
                      -

                      Benefits

                      +

                      +

                      Shared Responsibilities / Decision Authorities

                        -
                      • Entrepreneurial and inclusive culture
                      • -
                      • Excellent health coverage
                      • -
                      • Four weeks paid vacation
                      • -
                      • Catered lunches twice a week over machine learning talks
                      • -
                      • Opportunities to collaborate with faculty at the Vector Institute
                      • +
                      • Collaborates and supports AVP, Model Management and AVP, Data Governance on the optimal implementation of advanced solutions while adhering to key regulatory expectations
                      • +
                      • Collaborates with Enterprise Data and Analytics and Layer 6 teams regarding trends and developments in data science, artificial intelligence and machine learning
                      • +
                      • As a key member of the leadership team collaborates with business partners to find appropriate solutions to risk measurement and assessment challenges to ensure an appropriate balance between complexity of models and a transparent link between risk drivers and outputs
                      -

                      Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                      ",,https://layer6.ai/careers/#Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,38,273,https://talenthub.vectorinstitute.ai/jobs/342742091-machine-learning-scientist-at-layer-6,,expired,2024-09-19T19:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -2d98ec17-f035-4e54-9d45-5ad021a2b98f,342742085,Layer 6,Sr. DevOps Engineer ,on_site,"Toronto, ON, Canada",2024-09-19T19:49:23.369Z,"

                      You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                      -

                      We are looking for world-class devops engineers and problem solvers.
                      You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                      -

                      Job Requirements

                      -

                      Must-Have:

                        -
                      • 5+ years of experience building sophisticated and automated production infrastructure
                      • -
                      • Solid Azure or AWS experience
                      • -
                      • Extensive experience with Kubernetes, docker and container orchestration
                      • -
                      • Experience with Saltstack or other configuration management
                      • -
                      • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                      • -
                      • Experience with managing CI/CD tools and pipelines
                      • -
                      • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                      • -
                      • Experience with Git, Jenkins and Elasticsearch
                      • -
                      • Strong verbal and written communication skills, with the ability to work effectively across teams
                      • -
                      • BA/BS degree or equivalent experience; Computer Science background preferred
                      • +
                      • Marrying AI/Machine Learning and other advanced analytics solutions to particular business problems.
                      • +
                      • Manage function within parameters of financial plan
                      • +
                      • Remains within TD risk appetite
                      -

                      Nice-to-Have:

                      +

                      +

                      Capabilities Required

                        -
                      • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                      • -
                      • Familiarity with monitoring tools
                      • -
                      • Experience with automated testing tools
                      • -
                      • Experience troubleshooting and tuning systems performance
                      • -
                      • Knowledge of Java
                      • +
                      • Subject Matter Expert in data, machine learning and artificial intelligence
                      • +
                      • Possesses and demonstrates expertise in AML/ATF processes and programs
                      • +
                      • Strategic thinker and clear communicator
                      • +
                      • Skilled leader, inspires and operates through influence,
                      • +
                      • Delivers on objectives, focuses on what matters and can work across silos to build effective working relationships
                      • +
                      • Clear, concise communicator – able to explain complex concepts to diverse stakeholders and educate on technical ideas and methodologies to groups and individuals with and without technical expertise in these areas
                      • +
                      • Ability to drive large-scale, complex projects
                      • +
                      • Strong stakeholder management, communication and influencing skills
                      • +
                      • Strong financial and business acumen
                      • +
                      • Strategic thinking, balanced by operational pragmatism
                      -

                      Benefits:

                      +


                      Skills, Education & Experience

                        -
                      • Entrepreneurial and learning culture
                      • -
                      • Excellent health coverage and pension plan
                      • -
                      • Four weeks paid vacation
                      • -
                      • Catered lunches twice a week over machine learning talks
                      • -
                      -

                      Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                      ",,https://layer6.ai/careers/#Sr-DevOps-Engineer-663,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/342742085-sr-devops-engineer-at-layer-6,,expired,2024-09-19T19:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -e1849a76-152f-4c16-8173-c59517230a57,341247743,Deloitte,Machine Learning (ML) Engineer,on_site,"Ontario, Canada",2024-09-08T16:35:02.537Z,"

                      -

                      Job Type: Permanent
                      Work Model:
                      Hybrid
                      Reference code:
                      126900
                      Primary Location:
                      Toronto, ON
                      All Available Locations:
                      Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

                      -
                      -

                      -

                      Our Purpose

                      -

                      -

                      At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                      -

                      By living our Purpose, we will make an impact that matters.

                      -
                      • Learn from deep subject matter experts through mentoring and on the job coaching
                      • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                      • Be encouraged to deepen your technical skills…whatever those may be.
                      • Build your leadership skills at Deloitte University.
                      • Have many careers in one Firm.
                      • Partner with clients to solve their most complex problems
                      • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                      • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                      • Experience a firm where wellness matters.
                      • Experience MyFlex and an agile work environment where work is what you do not where you do it
                      • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                      • Build a network of colleagues for life
                      • Have an impact that matters through pro bono and significant volunteer opportunities.
                      • Be empowered to lead and have impact with clients, our communities and in the office.
                      • Be expected to share your ideas and to make them a reality.
                      • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                      • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
                      • -
                      -
                      -
                      -
                      -

                      --

                      -
                      -
                      -
                      -

                      What will your typical day look like?

                      -

                      As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                      -
                      -
                      -

                      About the team

                      -

                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                      -
                      -
                      -

                      Enough about us, let’s talk about you

                      -
                      -

                      You are someone with:

                      -
                      • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                      • Good understanding of ML and Al concepts. Hands-on experience in ML model development.
                      • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google Al Platform, Azure Machine Learning, Databricks, DataRobot, MLFlow).
                      • Strong experience in Python and PySpark, used both for ML and automation tasks.
                      • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                      • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                      • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                      • Strong oral and written communication skills
                      • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                      • Experience with Azure and/or AWS platforms is an asset
                      • Project management experience is an asset
                      • Professional services, consulting, or advisory experience is an asset
                      • -
                      -
                      -
                      -
                      -

                      Total Rewards

                      -


                      The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                      Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                      -
                      -
                      -

                      -

                      Our promise to our people: Deloitte is where potential comes to life.

                      -

                      -

                      Be yourself, and more.

                      -

                      We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                      -

                      You shape how we make impact.

                      -

                      Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                      -

                      Be the leader you want to be

                      -

                      Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                      -

                      Have as many careers as you want.

                      -

                      We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                      The next step is yours

                      -

                      -

                      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                      -

                      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                      -

                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                      -

                      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-09T17:01:56.652Z,False,0,35,168,https://talenthub.vectorinstitute.ai/jobs/341247743-machine-learning-ml-engineer-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Machine-Learning-%28ML%29-Engineer-ON/1199639900/,expired,2024-09-08T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -8b24bc87-85ab-4a81-b86d-c90f7aae5d47,342896291,Deloitte,"Data Scientist Lead, AI and Data",on_site,"Ontario, Canada",2024-09-20T16:35:02.203Z,"

                      -

                      Job Type: Permanent
                      Work Model:
                      Hybrid
                      Reference code:
                      126901
                      Primary Location:
                      Toronto, ON
                      All Available Locations:
                      Toronto, ON

                      -
                      -

                      -

                      Our Purpose

                      -

                      -

                      At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                      -

                      By living our Purpose, we will make an impact that matters.

                      -
                      • Learn from deep subject matter experts through mentoring and on the job coaching
                      • Be encouraged to deepen your technical skills…whatever those may be.
                      • Be empowered to lead and have impact with clients, our communities and in the office.
                      • -
                      -
                      -
                      -
                      -

                      --

                      -

                      Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                      -
                      -
                      -

                      What will your typical day look like?

                      -
                      -

                      As a Data Science Lead, you would take a lead in delivering advisory services to high growth organizations, managing, and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                      -


                      You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer and model maintenance. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids

                      -
                      -
                      -
                      -

                      About the team

                      -

                      Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI)transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                      -
                      -
                      -

                      Enough about us, let’s talk about you

                      -
                      -

                      You are someone with:

                      -
                      • Significant data analysis experience using Python
                      • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
                      • 5+ years relevant work experience with applying analytics or working with data in any industry
                      • Leadership or management experience including project management in analytical or data driven field
                      • Strong experience with statistical analytical techniques, data mining, and predictive models
                      • Database and programming languages experience and data manipulation and integration skills using (one ormore) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                      • Experience with optimization modelling, machine learning, forecasting and/or natural language processing
                      • Ability to understand business significance of the data, work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                      • Enthusiastic about solving complex problems with a variety of analytical tools
                      • Professional services, consulting, or advisory experience is an asset
                      • Strong oral and written communication skills
                      • Interest in continuing to develop analytical and business development skills
                      • Advanced degree (MSc, equivalent or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or related field is required.
                      • +
                      • Undergraduate degree required, advanced technical degree including Master or PhD in a quantitative discipline (e.g. economics, statistics, mathematics, engineering or operations research) preferred
                      • +
                      • 15+ years of experience in financial modelling, data science or other relevant field
                      • +
                      • Extensive experience and advanced expertise in statistics, numerical methods, modeling tools, optimization, and operations within the financial services sector
                      • +
                      • Knowledge of financial service products and risk characteristics
                      • +
                      • Excellent proven management and leadership skills required to direct a group of quantitative analysts in diverse fields and to ensure unit plans and objectives are achieved
                      • +
                      • Excellent communication skills: ability to communicate and educate on technical and complex ideas and methodologies to groups and individuals with and without technical expertise in these areas
                      • +
                      • Experience presenting to Senior Executives, Board members, regulators and other external entities/stakeholders
                      • +
                      • Demonstrated experience operating in a complex, matrix environment
                      • +
                      • Organizational and time-management skills
                      • +
                      • Ability to deliver day to day commitments and complex projects on time and within budget
                      -
                      -
                      -
                      -

                      Total Rewards

                      -


                      The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                      Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                      -
                      -
                      -

                      -

                      Our promise to our people: Deloitte is where potential comes to life.

                      -

                      -

                      Be yourself, and more.

                      -

                      We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                      -

                      You shape how we make impact.

                      -

                      Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                      -

                      Be the leader you want to be

                      -

                      Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                      -

                      Have as many careers as you want.

                      -

                      We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                      The next step is yours

                      -

                      -

                      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                      -

                      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                      -

                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                      -

                      ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-Lead%2C-AI-and-Data-ON/1201920300/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-10T16:41:03.907Z,False,0,6,38,https://talenthub.vectorinstitute.ai/jobs/342896291-data-scientist-lead-ai-and-data-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-Lead%2C-AI-and-Data-ON/1201920300/,expired,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Masters Degree,New Posting, -dbb6066d-be18-4b0f-8684-4796703792bf,340349645,KPMG,Azure Lead Data Architect,on_site,"Toronto, Canada",2024-09-02T16:34:02.764Z,"Overview

                      At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                      An Azure Lead Data Architect is responsible for designing, managing, and optimizing data architecture on the Microsoft Azure Cloud platform.


                      What you will do

                        -
                      • Develop comprehensive data architectures that align with business requirements, including data models, storage solutions, data pipelines, and analytics frameworks on the Azure platform.
                      • -
                      • Design and implement cloud-based solutions for structured, semi-structured, and unstructured data.
                      • -
                      • Utilize Azure services like Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure Blob Storage, and more to build scalable and secure data solutions.
                      • -
                      • Design, develop, and maintain data integration workflows, ETL/ELT processes using Azure Data Factory or similar tools to ingest, transform, and load data from various sources.
                      • -
                      • Design and enforce data access controls, encryption, masking, and other security measures to protect sensitive data.
                      • -
                      • Collaborate with stakeholders to define data management strategies, including data retention, archiving, and backup solutions.
                      • -
                      • Work closely with data engineers, business analysts, and other stakeholders to understand data requirements and provide architectural guidance.
                      • -
                      • Communicate technical solutions effectively to non-technical stakeholders and ensure alignment with business goals.
                      • -
                      • Optimize data storage, retrieval, and processing performance to enhance the efficiency and scalability of data solutions.
                      • -
                      • Proactively identify and resolve data-related issues, ensuring high availability and reliability of data services.
                      • -
                      • Provide guidance and mentorship to junior data architects, data engineers, and other team members.
                      • -
                      • Lead architectural discussions, code reviews, documentation and design sessions to promote best practices and high-quality solutions.
                      • -
                      • Continuously evaluate and improve the data architecture and related processes, incorporating feedback, industry trends, and new technologies.
                      • -

                      What you bring to the role

                        -
                      • Strong knowledge of Microsoft Azure and cloud data services.
                      • -
                      • 7 to 10 years of experience as an Architect in data Analytics domain.
                      • -
                      • Expertise in data modeling, database design, and data warehousing.
                      • -
                      • Experience with ETL/ELT processes, data integration, and data pipeline orchestration.
                      • -
                      • Proficiency in SQL, NoSQL, Python, Spark, and other relevant technologies.
                      • -
                      • Understanding of data governance, security, and compliance requirements.
                      • -
                      • Excellent communication, problem-solving, and leadership skills.
                      • -

                      Technical skills

                        -
                      • Experience in configuring and implementing Azure Storage, Azure Data Factory, Azure Data Lake, Azure SQL Server Data Warehouse and Azure SQL Server db.
                      • -
                      • Good understanding of AZURE components, storage & compute services
                      • -
                      • Familiarity with DevOps practices and tools, such as Azure DevOps, Git, and CI/CD pipelines
                      • -
                      • Experienced in Data modelling and data architecture design.
                      • -
                      • Experience with Data testing, including ability to create test plans, test cases, execute test cycles, etc.
                      • -
                      • Experience is creating the efforts estimation, timelines for all new projects/programs
                      • -
                      • Understanding of Azure networking fundamentals, including Virtual Networks (VNets), subnets, Azure Private Link, and ExpressRoute.
                      • -
                      • Knowledge of resource provisioning, management, and scaling using Azure Resource Manager (ARM) templates or Terraform.
                      • -
                      • Stay current with the latest Azure offerings and best practices for data architecture, storage, and analytics.
                      • -
                      • Experience with data visualization tools such as Power BI for creating dashboards, reports, and analytics solutions.
                      • -
                      • Certifications: Holding relevant certifications such as Azure Solutions Architect Expert
                      • -

                      Providing you with the support you need to be at your best

                      For more information about KPMG in Canada’s Benefits and well-being, click here.


                      Our Values, The KPMG Way

                      Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                      KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                      Adjustments and accommodations throughout the recruitment process

                      At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                      To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                      For information about accessible employment at KPMG, please visit our accessibility page.

                      ",,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-03T16:39:46.198Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/340349645-azure-lead-data-architect-at-kpmg,https://careers.kpmg.ca/professionals/jobs/25390?lang=en-us,expired,2024-09-02T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,No Degree,New Posting, -85b8a925-17c2-4ab2-991b-ceb44faa2b5f,340695974,BELL CANADA,2025 Internship Program- Data Analytics & AI,on_site,"Ottawa, Ontario, Canada",2024-09-04T21:25:04.999Z,"

                      ​Req Id: 420056

                      -


                      At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

                      -

                      -

                      We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

                      -


                      Join us. You belong at Bell.

                      -

                      -

                      Launch your career at Bell and join the best-in-class Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities.

                      -

                      -

                      At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

                      -

                      -
                      -
                      -
                      -

                      Why join us?

                      -
                      -
                        -
                      • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
                      • -
                      • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
                      • -
                      • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
                      • -
                      • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
                      • -
                      • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
                      • -
                      • Develop your technical and leadership skills through formal and experiential training programs.
                      • -
                      • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
                      • -
                      -
                      -
                      -
                      -

                      What you’ll do

                      -
                      -
                      -

                      -

                      As an intern, you will support the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You’ll be a part of projects that expose you to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will include opportunities to offer insights that influence business decisions and technology investments across Bell.

                      -
                      -
                      -
                      -
                      -

                      What we’re looking for

                      -
                      -
                      -

                      -

                      Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here.

                      -

                      +

                      +

                      Who We Are:

                      +

                      TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                      +

                      +

                      TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                      +

                      +

                      Our Total Rewards Package
                      Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                      +

                      +

                      Additional Information:
                      We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                      Colleague Development
                      If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                      +

                      Training & Onboarding
                      We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                      +

                      +

                      Interview Process
                      We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                      +


                      Accommodation
                      Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                      We look forward to hearing from you!

                      +

                      +

                      Language Requirement:

                      +

                      N/A.

                      ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/AVP--FCRM--AI-and-Advanced-Analytics-Management--CAN---EAP-_R_1367844?q=Ontario&jobFamilyGroup=de76965296350195765906b50704e3ab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-23T23:59:00.000Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/342737707-avp-fcrm-ai-and-advanced-analytics-management-can-eap-at-td-bank-group,,expired,2024-09-19T18:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +66aa679a-bc1b-42e2-ad16-ee6ff1c9e6c9,342453582,Roche,Data Scientist,hybrid,"Mississauga, ON, Canada",2024-09-17T16:55:11.923Z,"

                      Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                      +

                      As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from multiple data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products.

                      +

                      +

                      The Opportunity:

                        -
                      • Data Scientist
                      • -
                      • Data Analyst
                      • -
                      • Machine Learning Engineering
                      • -
                      • Data Engineering
                      • +
                      • Be accountable for the development and implementation of Data Science products focusing on Natural Language Processing leveraging LLMs and Generative AI tools.
                      • +
                      • Support proactive identification of the most relevant LLM/NLP use cases in collaboration with the key stakeholders.
                      • +
                      • Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimizing their performance to provide valuable insights and solutions to business stakeholders
                      • +
                      • Support prioritization efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster.
                      • +
                      • Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders.
                      • +
                      • Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis.
                        +
                      -
                      -
                      -
                      -
                      -

                      Requirements

                      -
                      -
                      -

                      -

                      You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in computer science, mathematics, statistics, computer engineering, electrical engineering, or related fields.

                      -

                      -

                      Technical skills (you have some of the following)

                      -

                      +

                      +

                      Who you are:

                        -
                      • You can analyze, process, and visualize complex data quickly.
                      • -
                      • You have experience using SQL for data exploration and insights.
                      • -
                      • You have knowledge of data analytics theory, including statistical analysis and quantitative and qualitative modeling.
                      • -
                      • You are familiar with programming languages like Python, Scala, R, or similar.
                      • -
                      • Some knowledge of analytical tools such as Looker, Kibana, Tableau, and Microstrategy.
                      • -
                      • You have knowledge of machine learning and artificial intelligence concepts and their potential applications.
                      • -
                      • You are aware of Agile and CI/CD methodologies in software development.
                      • +
                      • M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence and at least 5-7 years of hands-on experience as a Data Scientist.
                      • +
                      • Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.)
                      • +
                      • Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks
                      • +
                      • Theoretical knowledge in LLM/GenAI (RAG, Vector DB, Embedding, Fine Tuning, ReAct reasoning, LoRA, Prompt Engineering)
                      • +
                      • Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration
                      • +
                      • Experience in the pharmaceutical/biotech industry is preferred.
                      -
                      -
                      -
                      -
                      -

                      Leadership Skills

                      -
                      -
                        -
                      • You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
                      • -
                      • You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
                      • -
                      • You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
                      • -
                      • You gain the trust of your teams, being known for demonstrating fairness and respect.
                      • -
                      • You promote belonging and are flexible, accountable and collaborative.
                      • -
                      • You are committed to growing your skills and learning from others.
                      • -
                      -
                      -
                      -
                      -

                      Applying is simple

                      -
                      -
                      -

                      Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

                      -

                      1. Review our programs and indicate up to three role choices in your application.
                      2. Complete your video interview within 48 hours.
                      3. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
                      4. If selected from previous step, you will be invited to a virtual panel interview.

                      -

                      -

                      Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

                      -

                      -

                      Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

                      -
                      -
                      -
                      -

                      #EmployeeReferralProgram

                      -

                      -

                      Adequate knowledge of French is required for positions in Quebec.

                      -

                      -

                      Additional Information:
                      Position Type: Management
                      Job Status: Intern
                      Job Location: Canada : Ontario : Mississauga || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Montreal
                      Work Arrangement: Hybrid
                      Application Deadline: 11/03/2024

                      -

                      -

                      For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                      -

                      -

                      Please apply directly online to be considered for this role. Applications through email will not be accepted.

                      -

                      -

                      We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

                      -

                      -

                      We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                      -

                      -

                      We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                      -

                      Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                      -

                      -

                      Created: Canada, ON, Mississauga

                      -

                      #CampusAI24

                      -

                      Bell, one of Canada's Top 100 Employers.

                      ",,https://jobs.bell.ca/ca/en/job/BECACA420056EXTERNALENCA/2025-Internship-Program-Data-Analytics-AI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-05T19:54:15.682Z,False,0,59,199,https://talenthub.vectorinstitute.ai/jobs/340695974-2025-internship-program-data-analytics-ai-at-bell-canada,BECACA420056EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, +

                      +

                      Relocation benefits are not available for this position.

                      +

                      +

                      +

                      +
                        ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-Scientist_202409-123485,georgia.rizoulis@roche.com,https://www.roche.com/careers.htm,,,2024-09-23T23:58:00.000Z,False,0,29,145,https://talenthub.vectorinstitute.ai/jobs/342453582-data-scientist-at-roche,,expired,2024-09-17T16:55:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, beb7c7ce-dc5f-4c55-be49-3f171af3fd3b,343276765,Thomson Reuters,Senior Data Engineer / Data Scientist,on_site,"Ontario, Canada",2024-09-23T08:27:02.553Z,"
                        JOB DESCRIPTION

                        About the Role:

                        @@ -43718,447 +45085,6 @@ beb7c7ce-dc5f-4c55-be49-3f171af3fd3b,343276765,Thomson Reuters,Senior Data Engin

                        More information about Thomson Reuters can be found on https://thomsonreuters.com.

                        ",,https://careers.thomsonreuters.com/us/en/job/JREQ182675/Senior-Data-Engineer-Data-Scientist?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-14T08:32:02.069Z,False,0,17,54,https://talenthub.vectorinstitute.ai/jobs/343276765-senior-data-engineer-data-scientist-at-thomson-reuters,,expired,2024-09-23T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, -40b9c81d-c896-4cca-a8cd-1a3285310eaf,341819804,RBC,Lead Data Engineer,on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.199Z,"
                        -

                        Job Summary

                        -

                        -

                        -

                        Job Description

                        -

                        What is the opportunity?

                        -

                        -

                        As a Lead Data Engineer, you will design, implement, and support data engineering solutions and processes across a global organization. We are seeking a Data Engineer with extensive hands-on experience in designing and developing data platforms. This role requires strong data architecture and engineering skills, effective written and verbal communication, a strong work ethic, and the ability to multi-task effectively. Additionally, you must possess strong interpersonal, organizational, and problem-solving skills, along with a demonstrated sense of urgency to respond to changing priorities.

                        -

                        -

                        What will you do?

                        -
                          -
                        • Work closely with the data team and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs.

                        • -
                        • Design, develop, and support new and existing data pipelines, recommending improvements and modifications.

                        • -
                        • Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.

                        • -
                        • Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and valuable for analytics and reporting purposes.

                        • -
                        • Build and implement ETL frameworks to improve code quality and reliability.

                        • -
                        • Develop scripts and programs for converting various types of data into usable formats.

                        • -
                        • Ensure the accuracy and consistency of data processing, results, and reporting.

                        • -
                        -

                        -

                        What do you need to succeed?

                        -

                        Must Have

                        -
                          -
                        • At least 5 years of hands-on experience as a Data Engineer, with a proven track record of delivering robust data solutions.

                        • -
                        • Extensive experience in building and optimizing data pipelines, architectures, and data sets.

                        • -
                        • Strong expertise with data technologies and tools.

                        • -
                        • Comprehensive experience with full end-to-end data solutions, including assessing data needs, data modeling, and data visualizations.

                        • -
                        • Proficiency in programming languages such as Python and SQL.

                        • -
                        • In-depth knowledge of SQL and NoSQL solutions, including data modeling and optimization.

                        • -
                        • Expertise in designing and implementing scalable data architectures and pipelines.

                        • -
                        • Proven experience in managing data engineering teams and projects.

                        • -
                        • Experience in defining and building scalable ETL/ELT workflows for reporting and analytics.

                        • -
                        • Excellent collaboration skills with a demonstrated ability to adapt to challenges, coach, and mentor team members.

                        • -
                        • Strong communication and analytical skills, including conceptual thinking, requirements interpretation, solution creation, and problem-solving abilities.

                        • -
                        -

                        -

                        Nice to Have

                        -
                          -
                        • PhD or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.

                        • -
                        • Experience working in a financial institution.

                        • -
                        • Experience with data governance, ensuring data quality, and compliance

                        • -
                        -

                        -

                        What’s in it for you?

                        -

                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                        -
                          -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                        • -
                        • Leaders who support your development through coaching and managing opportunities

                        • -
                        • Ability to make a difference and lasting impact

                        • -
                        • Work in a dynamic, collaborative, progressive, and high-performing team

                        • -
                        • A world-class training program in financial services

                        • -
                        • Flexible work/life balance options

                        • -
                        • Opportunities to do challenging work

                        • -
                        -

                        -

                        -

                        -

                        -

                        Job Skills

                        Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                        -

                        -

                        -

                        Additional Job Details

                        -

                        Address:

                        180 WELLINGTON ST W:TORONTO

                        City:

                        TORONTO

                        Country:

                        Canada

                        Work hours/week:

                        37.5

                        Employment Type:

                        Full time

                        Platform:

                        WEALTH MANAGEMENT

                        Job Type:

                        Regular

                        Pay Type:

                        Salaried

                        Posted Date:

                        2024-09-17

                        Application Deadline:

                        2024-11-30

                        -

                        -

                        -

                        -

                        -
                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                        ​​​​​​​
                        We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                        -
                        -

                        -

                        -

                        -

                        Join our Talent Community

                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                        -
                        ",,https://jobs.rbc.com/ca/en/job/R-0000099861/Lead-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-16T19:44:11.427Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/341819804-lead-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,No Degree,New Posting, -91560efb-9278-405a-8093-9ca6db229c68,342371513,Canvass Analytics Inc.,Senior Software Engineer,hybrid,Canada,2024-09-16T18:04:30.027Z,"

                        Canvass AI is disrupting the industrial sector with its cutting-edge AI platform, by transforming industrial engineers into data and digital engineers. Backed by some of the world’s largest companies like Google’s Gradient Ventures, Canvass is democratizing the use of AI in day to day operations so industrial companies can build AI/ML models at scale and deploy them in production to gain business benefits in real time.‍

                        -

                        Things you should know about our tech:

                        -
                          -
                        • -We use a microservices architecture built predominantly with Python
                        • -
                        • Our single-page web application is built with React and we use Django for our RESTful API layer
                        • -
                        • We use Kubernetes to manage our cloud deployments in Azure
                        • -
                        • We’ve built a data pipeline with Kafka and use Kubeflow to orchestrate our machine learning pipeline
                        • -
                        • We use CircleCI to continuously integrate and deploy code changes‍
                        • -
                        -

                        What we’re looking for:

                        -

                        We’re looking for candidates with:

                        -
                          -
                        • Experience building web applications with Python, bonus points for experience with a RESTful API framework
                        • -
                        • Experience using React (or other JavaScript frameworks) to build complex web applications
                        • -
                        • An understanding of microservice architecture and distributed system design
                        • -
                        • Proven track record of delivering well-designed and tested software
                        • -
                        • Solid understanding of relational and non-relational databases and best practices‍
                        • -
                        -

                        In general, we’re looking for a senior developer that exemplify these qualities:

                        -

                        Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.

                        -

                        Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.

                        -

                        Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.

                        -

                        Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering. ‍

                        -

                        What’s in it for you

                        -

                        You want to join a company that’s at the forefront of leading edge technology and you want to be the person that takes us there and captures massive market share. You want to be part of an ambitious, successful team that is rapidly scaling up, that gives you room to grow and build your career as the company grows.

                        -

                        Your Benefits

                        -

                        Some of the benefits you can expect as part of our team include:

                        -
                          -
                        • An incredible team with Inclusive culture, open to ideas
                        • -
                        • You build the future of the planet. An opportunity to work in a leading edge AI company that is making the planet safer and greener for the future.
                        • -
                        • Generous time off, including vacation and personal days to help rejuvenate
                        • -
                        • Extended health benefits, including drug coverage, dental coverage, and a Health Spending Account
                        • -
                        • Flexible office policy, with option to work remotely
                        • -
                        • Attend Conferences to extend your knowledge and skills
                        • -
                        • Equity Plan ‍
                        • -
                        -

                        What's it like working at Canvass

                        -

                        This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture and we are driven by the passion to make an impact to the future of the industrial sector which in turn impacts the climate sustainability.

                        ",,https://www.canvass.io/careers/senior-software-engineer,info@canvass.io,,,,2024-10-16T18:05:37.496Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/342371513-senior-software-engineer-at-canvass-analytics-inc,,expired,2024-09-16T18:04:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Mid-Senior Level,Bachelors Degree,New Posting, -dd3c9304-16a3-452f-b22c-395b5b4899eb,342371570,Canvass Analytics Inc.,Product Manager,hybrid,Canada,2024-09-16T18:06:50.623Z,"

                        Canvass AI – Disrupting how Industrials Improve Global Productivity and Sustainability

                        -

                        Do you want to make a positive impact on the world?

                        -

                        Canvass AI is disrupting the manufacturing and industrial sector by making the hype of AI a reality. Our AI platform is fast becoming the most in-demand solution on the market because we put the power of AI in the hands of industrial engineers, who can now unleash the value in their data in ways they’ve never been able to before! We are helping the world’s largest companies drive impactful results, almost instantly, from improving their productivity to spearheading their global sustainability efforts. Our software and customer deployments prove each day that AI is revolutionizing how manufacturers reduce carbon emissions, waste, water, and energy consumption.

                        -

                        Proudly funded by Alphabet’s Gradient Ventures and Yamaha Motor Ventures. Join us on the quest to build a more sustainable and productive future!

                        -

                        DO WHAT YOU LOVE!

                        -

                        Reporting to the Director of Product Management, the Product Manager’s role is to define where our Industrial AI platform needs to go by creating a roadmap about what needs to get built and communicating those needs to our engineering team. The Product Manager will be responsible for full life cycle product management and overall positioning of the platform for commercial success including supporting the sales team and marketing team with their efforts.

                        -

                        MAKE AN IMPACT!

                        -
                          -
                        1. Support Canvass AI’s overall growth strategy in terms of securing more customers and greater revenue by creating and defining the future direction for our Industrial AI platform including plans, tangible visions, and roadmaps to get there. Additional responsibility includes ensuring full adoption and usage of the Canvass platform, post purchase.
                        2. -
                        3. Lead the development of future releases of the platform by working with product designers and software engineers. Specifically, the product manager will be responsible for defining the specifications of new capabilities to be built, ensuring those specifications are communicated to and understood by product designers and software engineers, and guiding the software development process.
                        4. -
                        5. Become and be recognized as an internal expert on the Canvass AI platform. Demonstrate leadership by providing training and information on specific products such as: “how to talk about the product”, “how to position the product” and be able to demo the product and share information about its application and use in industry in easy-to-understand terms.
                        6. -
                        -

                        HAVE WHAT IT TAKES?

                        -
                          -
                        • 3 – 5 years work experience in an industrial engineering setting, with a preference for process industries (vs discrete)
                        • -
                        • Bachelor’s Degree in Engineering or a technology related field
                        • -
                        • Deep knowledge of Operational Technology (Plant floor systems and technology)
                        • -
                        • Experience working with industrial data (e.g., Data Historians such as OSIsoft PI System, AspenTech IP.21)
                        • -
                        • OEE (Overall Equipment Effectiveness) understanding and demonstrated use.
                        • -
                        • Ability to identify customer/user problems and define software solutions to address them
                        • -
                        • Excellent communication skills, able to work equally well with our customers, developers and internal stakeholders such as Marketing and Customer Success
                        • -
                        • A curious nature to think outside the box and a love to experiment.
                        • -
                        • Collaboration skills and the knowledge that success as a product manager is rooted in ensuring the whole team is aligned and working together toward the same goal
                        • -
                        • [Nice to have] B2B SaaS Company experience
                        • -
                        • [Nice to have] Agile software environment
                        • -
                        • [Nice to have] Strong data literacy and a track record of using data and experimentation to drive product decision
                        • -
                        • [Bonus] Having built AI and machine learning models to solve industrial problems
                        • -
                        • [Bonus] Preferably you’ve worked in a startup before and understand life in a startup
                        • -
                        • [Bonus] Experience using Pendo
                        • -
                        -

                        -

                        WHY YOU WANT TO BE PART OF OUR TEAM!

                        -

                        Canvass AI is a leader in industrial AI. Canvass is innovating the way and empowering the industrial workforce to use AI in day to day operations. Our work has been recognized by Network World as a Top 10 Hot AI-Powered IoT Start-up and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                        -

                        ​Canvass is a place where being formidable, innovative, and impactful is part of our DNA.  We have an inclusive culture that thrives on the challenges and opportunities that being a disruptor brings. From the CEO to the newest hire, we all pitch in where needed and do what it takes and accountability for it.  We are a flat organization where you will be invited (and expected!) to be part of the conversation!

                        -

                        Don’t take our word for it – see why our team love to work at Canvass.

                        -

                        https://www.canvass.io/careers

                        -

                        -

                        WHAT YOU GET… YES, THERE’S MORE!

                        -
                          -
                        • -Part of Canvass’s Success Story Stock options to make you an owner in the company
                        • -
                        • -Learning and Development: Free Coursera account to advance your skills and interests
                        • -
                        • -Fostering innovation: Hackathons to showcase your ideas and skills
                        • -
                        • -Inspiring positive impact: Guest speakers to inspire our mission and the impact it has on the world around us
                        • -
                        • -Rewarding high performance: Quarterly and annual All Stars recognition program
                        • -
                        • -Social and supportive team environment: Active social committee to help you meet team members; employee off-site events
                        • -
                        • -Focus on health and wellness: Generous vacation and health benefits, annual wellness gift we cover 100 percent of the premiums
                        • -
                        • -Technology: Whether you’re working from the office or remotely, you’ll have access to the right tech and tools to set you up for success
                        • -
                        -

                        -

                        READY TO WORK?

                        -

                        Interested applicants are encouraged to submit a formal application through our website Careers (canvass.io).

                        -

                        We love connecting with candidates who want to know more - find our staff on LinkedIn and get connected today!

                        -

                        https://www.linkedin.com/company/canvassai

                        -

                        Canvass AI supports an inclusive safe working environment and welcomes and encourages applications from all people. Accommodations are available by request for candidates taking part in all aspects of the selection process.  Please include your request for any specific accommodations in your covering letter.

                        ",,https://www.canvass.io/careers/product-manager,info@canvass.io,,,,2024-10-16T18:07:03.071Z,False,0,8,54,https://talenthub.vectorinstitute.ai/jobs/342371570-product-manager-at-canvass-analytics-inc,,expired,2024-09-16T18:06:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Mid-Senior Level,Bachelors Degree,New Posting, -4f7fe2ce-1252-45d2-8951-7f3a319a9c06,342711145,Borealis AI,Senior Manager - Advisory,on_site,"Ontario, Canada",2024-09-19T12:35:02.726Z,"
                        -

                        What\'s the opportunity?

                        -

                        We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for RBC’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems.

                        At RBC Borealis, you’ll be joining a fast paced, dedicated and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products.

                        -

                        Your responsibilities will include:

                        -
                          -
                        • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
                        • -
                        • Building and supporting relationships with RBC executives, subject matter experts, and technical teams through discussions, materials preparation and other interventions;
                        • -
                        • Representing the business vision in the group’s product engagements and educating researchers on business needs;
                        • -
                        • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis AI;
                        • -
                        • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
                        • -
                        -

                        You’re our ideal candidate if you:

                        -
                          -
                        • Have 5+ years of experience working at a financial or technology focused organization;
                        • -
                        • Were responsible for the delivery of at least one technology solution that drove material business impact;
                        • -
                        • Have a working knowledge of data analytics and machine learning;
                        • -
                        • Have experience developing relationships with senior and junior stakeholders at large enterprises;
                        • -
                        • Have experience developing business cases and other communications on technology projects;
                        • -
                        • A creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
                        • -
                        • Excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
                        • -
                        -

                        What’s in it for you:

                        -
                          -
                        • Be part of a dynamic & flexible working environment;
                        • -
                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                        • -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                        • -
                        • Leaders who support your development through coaching and managing opportunities;
                        • -
                        • Ability to make a difference and lasting impact from a local-to-global scale.
                        • -
                        -

                        About RBC Borealis

                        -

                        RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                        -
                        ",,https://www.borealisai.com/careers/?gh_jid=7640640002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-17T19:45:00.000Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/342711145-senior-manager-advisory-at-borealis-ai,,expired,2024-09-19T12:35:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Scaling (20-499),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -5a2f1eb7-f049-48f5-b98e-1072f0e61096,345362224,CIBC,"Director, Digital and AI Enablement Delivery",on_site,"Ontario, Canada",2024-10-07T10:04:03.994Z,"
                        -

                        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                        -

                        -

                        At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                        -

                        -

                        To learn more about CIBC, please visit CIBC.com

                        -

                        -

                        -
                        -

                        What you\'ll be doing

                        -

                        The Director, Digital and AI Enablement Delivery will be responsible for leading a team of product owners/consultants who are accountable for executing the product strategy for Digital and AI applications across the bank. The role will focus on executing and delivering digital transformation, AI use cases and enhancing AI platforms. This role will contribute to CIBC\'s transformation by executing and delivering on the product vision, strategy, and roadmap for AI initiatives and digital that align with the bank\'s growth objectives and enhance client experience. You will work in close collaboration with technology teams, business units, and stakeholders to ensure successful delivery and adoption of AI products and solutions, and will be aligned to specific strategic business units. You will provide strategic and tactical insights, and have accountability for Digital and AI programs, projects & initiatives that support our strategy and partner projects across CIBC. You will work closely with teams in a leadership capacity, and you will hold key stakeholder relationships.

                        -

                        -

                        At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                        -

                        -

                        How you\'ll succeed

                        -
                        • Strategy and Roadmap & Execution: Execute and deliver on the vision and roadmap for digital and AI products, ensuring alignment with business objectives and client needs. Lead a team of Product owners who define, communicate, and deliver on the vision and roadmap for digital and AI products.

                        -
                        • Stakeholder Management: Engage with stakeholders to gather feedback, identify opportunities, and advocate for the value of AI-driven solutions. Demonstrate the ability to influence and drive consensus among diverse stakeholder groups.

                        -
                        • Relationship Management: Execute and deliver on digital and AI use cases and platform enhancements to improve functionality and employee and client experience. Work closely with business leaders to understand their challenges and opportunities, integrating their insights into product development. Partner with the Enterprise Analytics and Advanced Analytics & AI teams to leverage data and insights for product innovation. Maintain regular communication with technology and operations teams to ensure seamless integration and support for digital and AI products.

                        -

                        -

                        Who You Are

                        -
                        • You can demonstrate 10+ years of experience. Leading the design and implementation of new products, AI use cases, and platform enhancements to improve functionality and user experience.

                        -
                        • Collaborate with vendors and internal teams to develop bespoke digital and AI solutions that address specific business needs.

                        -
                        • Measure and report on product performance, utilizing data to inform decisions and drive continuous improvement.

                        -
                        • Ensure compliance with CIBC\'s policies and regulatory standards throughout the product development process.

                        -
                        • Synthesize complex analysis, findings, and recommendations, then package key messages for senior executives.

                        -
                        • Strong understanding of AI technologies and their application within the financial services industry.

                        -
                        • Proven experience in product management, with the ability to lead products from conception to launch.

                        -
                        • Excellent communication and leadership skills, with the ability to influence and drive consensus among diverse stakeholder groups.

                        -
                        • Strategic thinker with a results-oriented mindset, focused on delivering high-quality products that meet client needs.

                        -
                        • Ability to navigate complex environments and manage multiple priorities effectively

                        -
                        -
                        -
                        • Education: You have a degree/diploma in Computer Science or Technical discipline.

                        -
                        • You embrace and champion change. You are passionate about being on top of technology trends. You\'ll continuously evolve your thinking and the way you work to deliver your best.

                        -
                        • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                        -
                        • You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

                        -
                        -

                        -

                        What CIBC Offers

                        -

                        -

                        At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                        -
                          -
                        • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                        • -
                        • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                        • -
                        • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                        • -
                        -

                        -

                        *Subject to plan and program terms and conditions

                        -

                        -

                        What you need to know

                        -
                          -
                        • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                        • -
                        • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                        • -
                        • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                        • -
                        -

                        -

                        -

                        -

                        -

                        -

                        Job Location

                        Toronto-81 Bay, 16th Floor

                        -

                        Employment Type

                        Regular

                        -

                        Weekly Hours

                        37.5

                        -

                        Skills

                        Artificial Intelligence (AI), Business Analysis, Business Objectives, Communication, Customer Experience (CX), Design Processes, Digital Designs, Digital Technology, Financial Modeling, Generative AI, Long Term Planning, People Management
                        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Digital-and-AI-Enablement-Delivery_2420958?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-17T10:09:04.958Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/345362224-director-digital-and-ai-enablement-delivery-at-cibc,,expired,2024-10-07T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -bdbaabf0-f43c-40f7-9984-e5f5d674b165,343307675,Scotiabank,"Senior Manager, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.206Z,"

                        -

                        -

                        -

                        -

                        Requisition ID: 206827

                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                        -

                        -

                        Join a purpose driven team, driven by results, in an inclusive and high-performing culture.

                        -

                        -

                        Reporting to the Director, Portfolio Management & Analytics, the Senior Manager will work closely with a diverse set of stakeholders to generate insights and deliver judicious recommendations. You will drive analyses, oversight, and judicious thought leadership for Mortgage and HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

                        -

                        -

                        Job Responsibilities:

                        -

                        -
                        • Lead sensitivity analyses to essay performance benchmarks against various environmental trends; develop scenario frameworks and readiness playbooks by identifying and prioritizing levers.

                        • Measure and monitor policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on credit performance; assist various teams in development and adjustments to policy through judicious insights.

                        • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends.

                        • Senior Executive assistance on performance trending across portfolios, and preparation of judicious communication materials.

                        • Triangulate internal data analyses with macro-economic and consumer trend reports to find customer vulnerability; maintain an integrated set of performance benchmarks to continuously monitor segment performance.

                        • Lead GRM colleagues to improve portfolio monitoring and account management capabilities through integration of new models and frameworks.

                        • Assist annual judicious planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

                        • Prepare Deep Dive analyses on key segments within the RESL portfolio, provisioning, and peer trends.

                        • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

                        • -
                        -

                        Job Requirements:

                        -

                        -
                        • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of credit portfolios are essential.

                        • Proficiency in programming and/or database programs (MongoDB, SAS, JAVA, SQL, R, Hadoop, Python)

                        • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a master’s degree in business, statistics, economics, mathematics, management sciences or analytics.

                        • 8-10 years of relevant work experience

                        • Expertise and thorough understanding of credit and portfolio management, mortgage underwriting and credit analytics.

                        • In-depth understanding of: i) RESL products, systems and channels, and the markets in which Scotiabank operates; ii) Bank’s credit risk policy and risk appetite framework; iii) retail lending process and applications; and iv) legislative and marketplace issues relative to credit risk management.

                        • Strong financial skills, solid deductive reasoning, sound judgement and creativity.

                        • Strong verbal and written communication skills and the ability to effectively convey information to various levels of management.

                        • Knowledge of credit risk management origination techniques and strategies in Retail credit, including the create of champion/challenger tests and risk strategies utilizing credit risk scores.

                        • -
                        -

                        -

                        Location(s): Canada : Ontario : Toronto

                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/343307675-senior-manager-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449717/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -3740258a-3580-4e7a-81e8-ed6fd8022789,345788003,Scotiabank,Canadian Banking - Technology & Analytics Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-10T16:31:02.085Z,"

                        -

                        -

                        -

                        -

                        Requisition ID: 206571

                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                        -

                        -

                        Term: January - April 2025

                        -

                        Application Deadline: 10/18/2024

                        -

                        -

                        There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership, and Opportunity).

                        -

                        -

                        Is this role right for you? In this role, you will:

                        -
                        • Proactively identify data needs and manage data collection.
                        • Gather business and data requirements to clearly outline business problems, opportunities, and solutions.
                        • Follow analytical frameworks: hypothesis development, collecting, preparing, and combining the data from multiple data sources, analyzing data, validation, drawing conclusions, assessing risks, and developing actionable recommendations for the organization.
                        • Build and present strong data-driven business cases to drive strategies.
                        • Leverage SQL, Python, and data visualization software (Power BI) to develop analytical models that support strategic initiatives and improve business processes.
                        • Create reporting through Excel or PowerPoint.
                        • -
                        -

                        -

                        Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                        -
                        • You are currently enrolled in post-secondary education.
                        • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                        • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions
                        • You have strong knowledge of analytical tools and languages such as SQL, Python, Power BI, SAS, etc.
                        • You have a high level of competency with MS Office suite, especially Excel.
                        • You are able to clearly identify and articulate key insights and recommendations.
                        • You can work in a fast-paced environment with cross-functional teams.
                        • -
                        -

                        -

                        What’s in it for you?

                        -
                        • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                        • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                        • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                        • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                        • -
                        -

                        -

                        How do I apply?

                        -

                        -

                        For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                        -

                        -
                        1. Complete your PLUM Profile here and save it as a screenshot.
                        2. Complete a short one-way video interview here
                        3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                        4. -
                        -

                        *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above

                        -

                        -

                        -

                        Location(s): Canada : Ontario : Toronto

                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                        ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Technology-&-Analytics-InternshipCo-op-Winter-2025-ON/584338717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/345788003-canadian-banking-technology-analytics-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Technology-&-Analytics-InternshipCo-op-Winter-2025-ON/584338717/,expired,2024-10-10T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -54b85fb6-5972-4fca-a675-cfc399d86d50,346257753,Borealis AI,Staff Researcher,on_site,"Ontario, Canada",2024-10-14T08:43:02.245Z,"
                        -

                        What\'s the opportunity?

                        -

                        RBC Borealis is looking for a Staff Researcher in Generative AI. The role focuses on technical leadership with the goal of delivering Generative AI-based products for the financial services industry. The candidate will play a critical role in shaping and leading our Generative AI technical work, reputation, and practice. The role includes engagement with technical and business stakeholders to shape and deliver on project roadmaps. Mentorship and contributions to talent development is a core component of the role.

                        -

                        Your responsibilities include:

                        -
                          -
                        • Technical Leadership. Provide technical leadership and scientific guidance to Generative AI projects, working within and across teams;
                        • -
                        • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
                        • -
                        • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
                        • -
                        • Research Leadership. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
                        • -
                        • Mentorship. Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in Generative AI research.
                        • -
                        -

                        You’re our ideal candidate if you have:

                        -
                          -
                        • A Ph.D. degree in Computer Science or a related technical field;
                        • -
                        • Expertise in machine learning, specifically large language models (LLMs), self-supervised learning, and AI safety (fairness, interpretability, human-centric AI)
                        • -
                        • 5 years of experience as a machine learning researcher in a product-centric environment or equivalent experience;
                        • -
                        • A track record of mentorship including junior researchers and engineers and experienced high-performance researchers
                        • -
                        • Experience delivering high-impact machine learning products
                        • -
                        • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                        • -
                        • The ability to formulate and drive a research project independently;
                        • -
                        • Exceptional communication skills;
                        • -
                        • A history of high quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
                        • -
                        -

                        What’s in it for you?

                        -
                          -
                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                        • -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                        • -
                        • Leaders who support your development through coaching and managing opportunities;
                        • -
                        • Ability to make a difference and lasting impact from a local-to-global scale.
                        • -
                        -

                        About RBC Borealis

                        -

                        RBC Borealis, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                        -
                        ",,https://www.borealisai.com/careers/?gh_jid=7679719002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-21T21:05:00.000Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/346257753-staff-researcher-at-borealis-ai,,expired,2024-10-14T08:43:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -d4ee60e2-595a-46b2-88de-4822075ae933,346633829,RBC,"Big Data Application Developer, GFT",on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.129Z,"
                        -

                        Job Summary

                        -

                        -

                        -

                        Job Description

                        -

                        What is the opportunity?

                        -

                        Individual will work as a Big Data Application Developer with the AML IT team, delivering services to implement technical and business needs, and working closely with various partners across IT and business.

                        -

                        Our technology stack is composed of Big-Data Hadoop Cluster Spark framework, Pega v8, Java/Spring boot micro-services deployed to Pivotal Cloud Foundry (PCF), Quantexa integrated with Elastic and OpenShift infrastructures, plus opportunities to work with front-end technologies, Case Management and creation of Enterprise Class Structure and Rulesets design. Full PRPC implementation including rules configuration, customization and package deployment with best Pega practices. We are looking for team players, with a passion for building quality solutions and solving business problems through efficient software engineering, CI/CD and SRE, in an agile environment.

                        -

                        -

                        What will you do?

                        -
                          -
                        • Technical design and development of cross-functional, multi-platform application systems

                        • -
                        • Apply extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                        • -
                        • Develop and support highly scalable, high-performance components within an Agile development team

                        • -
                        • Ensure high code quality through automated unit and functional testing.

                        • -
                        • Display ability to independently handle module deliveries, multi-task effectively and provide timely updates

                        • -
                        • Communicate effectively with peers and distil technical details into human terms.

                        • -
                        • Be open-minded and look beyond assigned tech stack to solve complex problems.

                        • -
                        • Proactively seek out knowledge about new technologies and how they can be used to solve current and foreseeable challenges

                        • -
                        -

                        -

                        What do you need to succeed?

                        -

                        Must-have

                        -
                          -
                        • Extensive experience with Big Data (Hadoop / Spark) and ETL development competencies

                        • -
                        • Professional Software development experience with HDFS, PL/SQL and other Database related programming languages

                        • -
                        • Experience developing secure server side services leveraging the following APIs: Spring, Spring Batch/Boot, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV, Parquet), NoSQL/SQL databases and Struts 2.0

                        • -
                        • Experience and knowledge with Java, J2EE, Spring / REST / Microservices, Linux and NoSQL/SQL databases.

                        • -
                        • Experience with building Cloud-ready microservices and containerizing applications

                        • -
                        • Experience with Agile software development

                        • -
                        • Experience with DevOps , CD/CI tools- Jenkins, GitHub, Automated Testing tools, or similar tools

                        • -
                        • Contribute in application design and develop code structures to promote reusability across many applications

                        • -
                        • Strong interpersonal skills and sense of empathy to effectively liaise between business and technology teams

                        • -
                        • Strong Written & Verbal Communication skills

                        • -
                        • Strong collaboration skills and proven ability for independent work.

                        • -
                        -

                        -

                        Nice-to-have

                        -
                          -
                        • Elastic and Snowflake certifications

                        • -
                        • Pega or Quantexa Certified developer

                        • -
                        • AML systems or Case Management and experience in creation of Enterprise Class Structure and Rulesets design.

                        • -
                        -

                        -

                        What’s in it for you?

                        -

                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                        -
                          -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                        • -
                        • Leaders who support your development through coaching and managing opportunities

                        • -
                        • Ability to make a difference and lasting impact

                        • -
                        • Work in a dynamic, collaborative, progressive, and high-performing team

                        • -
                        • A world-class training program in financial services

                        • -
                        • Flexible work/life balance options

                        • -
                        • Opportunities to do challenging work

                        • -
                        -

                        -

                        #LI-Hybrid

                        -

                        #LI-POST

                        -

                        -

                        -

                        Job Skills

                        Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

                        -

                        -

                        -

                        Additional Job Details

                        -

                        Address:

                        RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                        City:

                        TORONTO

                        Country:

                        Canada

                        Work hours/week:

                        37.5

                        Employment Type:

                        Full time

                        Platform:

                        TECHNOLOGY AND OPERATIONS

                        Job Type:

                        Regular

                        Pay Type:

                        Salaried

                        Posted Date:

                        2024-08-22

                        Application Deadline:

                        2024-10-19

                        -

                        -

                        -

                        -

                        -
                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                        ​​​​​​​
                        We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                        -
                        -

                        -

                        -

                        -

                        Join our Talent Community

                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                        -
                        ",,https://jobs.rbc.com/ca/en/job/R-0000096255/Big-Data-Application-Developer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-21T08:25:03.505Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/346633829-big-data-application-developer-gft-at-rbc,,expired,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, 853760e6-efdf-4acb-b6e0-71956dfbe3b4,346256340,Google,"Software Developer III, AI/ML, Google Workspace",on_site,"Toronto, ON, Canada",2024-10-14T08:34:02.663Z,"

                        Software Developer III, AI/ML, Google Workspace

                        @@ -44223,6 +45149,210 @@ d4ee60e2-595a-46b2-88de-4822075ae933,346633829,RBC,"Big Data Application Develop

                        To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                        ",,https://www.google.com/about/careers/applications/jobs/results/86442066078245574-software-developer-iii-aiml-google-workspace?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/346256340-software-developer-iii-ai-ml-google-workspace-at-google,,expired,2024-10-14T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +54b85fb6-5972-4fca-a675-cfc399d86d50,346257753,Borealis AI,Staff Researcher,on_site,"Ontario, Canada",2024-10-14T08:43:02.245Z,"
                        +

                        What\'s the opportunity?

                        +

                        RBC Borealis is looking for a Staff Researcher in Generative AI. The role focuses on technical leadership with the goal of delivering Generative AI-based products for the financial services industry. The candidate will play a critical role in shaping and leading our Generative AI technical work, reputation, and practice. The role includes engagement with technical and business stakeholders to shape and deliver on project roadmaps. Mentorship and contributions to talent development is a core component of the role.

                        +

                        Your responsibilities include:

                        +
                          +
                        • Technical Leadership. Provide technical leadership and scientific guidance to Generative AI projects, working within and across teams;
                        • +
                        • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
                        • +
                        • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
                        • +
                        • Research Leadership. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
                        • +
                        • Mentorship. Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in Generative AI research.
                        • +
                        +

                        You’re our ideal candidate if you have:

                        +
                          +
                        • A Ph.D. degree in Computer Science or a related technical field;
                        • +
                        • Expertise in machine learning, specifically large language models (LLMs), self-supervised learning, and AI safety (fairness, interpretability, human-centric AI)
                        • +
                        • 5 years of experience as a machine learning researcher in a product-centric environment or equivalent experience;
                        • +
                        • A track record of mentorship including junior researchers and engineers and experienced high-performance researchers
                        • +
                        • Experience delivering high-impact machine learning products
                        • +
                        • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                        • +
                        • The ability to formulate and drive a research project independently;
                        • +
                        • Exceptional communication skills;
                        • +
                        • A history of high quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
                        • +
                        +

                        What’s in it for you?

                        +
                          +
                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                        • +
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                        • +
                        • Leaders who support your development through coaching and managing opportunities;
                        • +
                        • Ability to make a difference and lasting impact from a local-to-global scale.
                        • +
                        +

                        About RBC Borealis

                        +

                        RBC Borealis, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                        +

                        Inclusion and Equal Opportunity Employment

                        +

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                        +
                        ",,https://www.borealisai.com/careers/?gh_jid=7679719002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-21T21:05:00.000Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/346257753-staff-researcher-at-borealis-ai,,expired,2024-10-14T08:43:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +ab98eb8e-f911-4141-b432-81dc37623e82,342896319,Cohere AI,"Member of Technical Staff, RAG",on_site,"Toronto, ON, Canada",2024-09-20T16:41:02.139Z,"
                        +
                        Who are we?
                        +
                        Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                        +

                        +
                        We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                        +

                        +
                        Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                        +

                        +
                        Join us on our mission and shape the future!
                        +

                        +
                        Why this role?
                        +

                        +
                        +Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. +
                        +

                        +
                        Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                        +
                        +
                        +

                        As a Member of Technical Staff, you will:

                        +
                            +
                          • Design, build and scale AI systems for serving our users.
                          • +
                          • Research, implement, and experiment with ideas on our supercomputer and data infrastructure.
                          • +
                          • Learn from and work with the best researchers, engineers and annotators in the field.
                          • +
                          • Drive agent development in RAG, tool use, and language agents.
                          • +
                          • Work with internal annotators in creating and evaluating data for post-training LLMs, ensuring quality and performance.
                          • +
                        +
                        +
                        +

                        You may be a good fit if you have:

                        +
                            +
                          • Extremely strong software engineering skills.
                          • +
                          • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                          • +
                          • Deep experience in AI data evaluation and managementStrong track record of creating and curating large-scale datasets
                          • +
                          • Experience using large-scale distributed training strategies.
                          • +
                          • Familiarity with autoregressive sequence models, such as Transformers.
                          • +
                          • Ability to collaborate effectively with human annotators and cross-functional teams.
                          • +
                          • Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                          • +
                        +
                        +
                        +
                        If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                        +

                        +
                        +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                        +

                        +
                        Our Perks:
                        +
                        🤝 An open and inclusive culture and work environment
                        +
                        🧑‍💻 Work closely with a team on the cutting edge of AI research
                        +
                        🍽 Free daily lunch
                        +
                        🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                        +
                        🎨 Personal enrichment benefits towards arts and culture, fitness and well-being
                        +
                        🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends
                        +
                        ✈️ Paid vacation
                        +
                        ",,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,feed-importer@jobboard.io,,,,2024-10-23T17:08:49.495Z,False,0,14,66,https://talenthub.vectorinstitute.ai/jobs/342896319-member-of-technical-staff-rag-at-cohere-ai,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,expired,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +3e53ca93-c5ce-4bb6-a974-dc70f2889c77,345758797,Thomson Reuters,Technical Product Manager (ML/NLP),on_site,"Ontario, Canada",2024-10-10T08:27:02.745Z,"
                        JOB DESCRIPTION
                        +
                        +
                        +
                        +

                        In response to Thomson Reuters expanding CoCounsel initiative, Thomson Reuters Labs is seeking a Technical Product Manager to join its Legal Technology team. This individual will drive the vision and execution for one of the CoCounsel Machine Learning teams and will product manage for a cross functional team of technical professionals, including applied scientists and research engineers.

                        +

                        +

                        About CoCounsel

                        +
                        +

                        +

                        CoCounsel is Thomson Reuters’ legal AI assistant, designed to facilitate the complex and often tedious workflows of legal professionals from research to contract drafting and review. CoCounsel is built to perform a wide range of tasks including document review, summarization, contract compliance, and event timeline organization. It is capable of processing vast repositories of documents across many domains and quickly condensing critical information to answer valuable user questions. The research teams within Labs identify, build, and refine many of the skills that make up this AI assistant. The legal technology team is currently focused on developing a set of cutting-edge document review and drafting skills to serve both transactional and litigation use cases. Come join this forward-thinking team to innovate how hundreds of thousands of lawyers across the world practice law and to help pave the way forward for the future of legal technology.

                        +

                        + +

                        +

                        About Labs

                        +

                        +

                        Thomson Reuters Labs is the dedicated applied research division of Thomson Reuters. We are focused on the research, development, and application of AI and emerging trends in technologies. Working collaboratively with our stakeholders, we experiment, prototype, test, and deliver solutions in the pursuit of creating smarter and more valuable tools for our customers. We aim to drive innovation across the fields of legal, tax, and regulation, harnessing the power of proprietary big data and emerging technologies to solve complex real-world challenges. We are looking for individuals to join our team who are curious about solving big problems, passionate about continuous innovation and experienced with the end-to-end model development lifecycle.

                        +

                        + +
                        +
                        +

                        +

                        About the role

                        +

                        +

                        In this opportunity as Technical Product Manager, you will:

                        +

                        +
                        • Define, socialize, drive and report on product Objectives and Key Results (OKRs) and their corresponding Key Performance Indicators (KPIs).

                        +
                        • Assemble technical product vision, roadmaps, define epics and features, collect and review user feedback, refine user requirements, prioritize, drive execution, and adjust delivery schedules as needed to drive progress towards OKRs.

                        +
                        • Partner with leadership to plan for adequate team resourcing, effective team collaboration, and to properly estimate and communicate delivery timelines.

                        +
                        • Ensure your team is aligned with partnering product, engineering, content, design, and subject matter expert teams.

                        +
                        • Identify and implement communication patterns that facilitate collaboration while protecting team focus.

                        +
                        • Provide technical guidance to partner product teams during all phases of development including but not limited to solution brainstorming, prioritization, technical feasibility scoping, and UX research/design.

                        +
                        • Balance factors such as cost, time to market and resourcing to optimize iterative value delivery for customers.

                        +
                        +
                        +

                        +

                        Responsibilities

                        +

                        +
                        • Develop and articulate a clear technical vision and product strategy that aligns with business objectives and is informed by a deep understanding of user needs, market trends, and technology advancements.

                        +
                        • Lead the creation, maintenance, and execution of the product roadmap, ensuring it reflects priorities, market opportunities, and competitive positioning.

                        +
                        • Foster strong, collaborative relationships with product, engineering, design, and subject matter expert teams to ensure alignment on and effective execution of product delivery.

                        +
                        • Establish a strong partnership with your Product Manager peers and develop the overall product requirements – both for the team working on application development and AI as a Service development.

                        +
                        • Establish a strong partnership with your TPM peers to learn from each other’s team retrospectives.

                        +
                        • Serve as a key liaison, communicating and translating between technical teams and non-technical stakeholders to drive shared understanding and decision-making.

                        +
                        +
                        +
                        • Cultivate a culture of innovation and continuous learning within the team, encouraging agile practices and a mindset that adapts to change and embraces new opportunities for growth.

                        +
                        • Champion agile methodologies, facilitate cross-functional meetings, and support the team in overcoming obstacles to ensure on-time, high-quality product delivery.

                        +
                        • Guide the end-to-end development process of products and services, from ideation through launch and lifecycle management, balancing business requirements with technical feasibility and user experience.

                        +
                        • Utilize technical expertise to drive design and implementation of user-centric features, leveraging analytics, user research, and feedback mechanisms to continuously improve the user experience.

                        +
                        • Monitor market and technology trends to proactively adapt product features, ensuring the product stays ahead of industry developments and maintains a competitive edge.

                        +
                        • Oversee the product feature development and release process, establishing standards, processes, and validation practices that ensure quality and compliance.

                        +
                        • Continuously assess and prioritize product enhancements and decommissioning, ensuring the product suite remains relevant and streamlined.

                        +
                        • Stay close to your end users, their JTBD and feedback even if they are not your direct users.

                        +
                        • Manage prioritization of features in tandem with other commitments such as cost optimization, time to market, skill and talent of available resources, and operation efficiency.

                        +

                        +
                        +

                        About You

                        You\'re a fit for the role of Technical Product Manager, if your background includes:

                        +

                        +
                        +

                        Basic Qualifications

                        +

                        +
                        • Bachelor’s degree in computer science, engineering, machine learning or related field

                        +
                        • At least 3 years proven track record in technical product development, with a focus on applied AI research and end-to-end delivery of AI-driven products.

                        +
                        • At least 3 years of demonstrated expertise in building and deploying Machine Learning, Natural Language Processing, or Computer Vision systems, from concept to production.

                        +
                        • Exceptional written and verbal communication skills, capable of presenting complex information clearly to diverse audiences and articulating a compelling strategic vision.

                        +
                        • Demonstrated ability to build relationships and influence within a matrix organization.

                        +
                        • Experience with agile project management and scrum methodologies.

                        +
                        • Strong analytical and quantitative skills, utilizing data and metrics to inform decisions.

                        +
                        +
                        +
                        • Experience collaborating with cross-functional teams (ML science, Engineering, UXR, Design, Marketing) to balance trade-offs in technologies and execution strategies.

                        +
                        • High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.

                        +
                        • Experience balancing short-term tactical execution with strategic long-term vision.

                        +

                        +

                        Preferred Qualifications

                        +
                        • At least 1 year of experience owning a Software as a Service, Machine Learning Platform or Human in the Loop products.

                        +
                        • Experience coaching and developing a team of indirect reports.

                        +
                        • Data-driven decision making.

                        +
                        +
                        • Experience writing and publishing research papers at conferences and workshops.

                        +


                        #LI-MW1

                        +
                        +
                        +

                        +

                        What\'s in it For You?
                        You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                        +
                          +
                        • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                        • +
                        • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                        • +
                        • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                        • +
                        • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                        • +
                        • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                        • +
                        • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                        • +
                        +

                        +

                        +

                        +

                        +

                        +


                        Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                        +

                        +

                        We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                        +

                        +

                        Accessibility

                        +

                        +

                        As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                        +

                        +

                        We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                        +

                        +

                        +

                        Protect yourself from fraudulent job postings click here to know more.

                        +

                        +

                        More information about Thomson Reuters can be found on https://thomsonreuters.com.

                        +
                        ",,https://careers.thomsonreuters.com/us/en/job/JREQ178729/Technical-Product-Manager-ML-NLP?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-24T08:32:02.632Z,False,0,3,29,https://talenthub.vectorinstitute.ai/jobs/345758797-technical-product-manager-ml-nlp-at-thomson-reuters,,expired,2024-10-10T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, 72454f97-22ab-4c1c-9fde-f1efa6aa2f98,92168691,Loblaw Companies Ltd.,"CO-OP, Machine Learning Software Developer",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-11-04T17:55:02.795Z,"
                        @@ -120167,6 +121297,53 @@ dcd7af1f-937f-4db2-9720-99367f6895d1,336828482,KPMG,Senior Consultant - Technolo

                        We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                        ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager%2C-Data-Governance-ON/1208369200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-03T16:42:37.200Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/340349667-senior-manager-data-governance-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Manager%2C-Data-Governance-ON/1208369200/,expired,2024-09-02T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +bfb1d5a3-6ad8-4a8b-a2dc-b09a498ba164,342711414,Vector Institute,Applied Machine Learning Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.614Z,"

                        Applied Machine Learning Intern

                        +

                        POSITION OVERVIEW

                        +

                        As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and health stakeholders to apply AI. You will work closely with a technical lead on your software development projects for day-to-day direction.

                        +

                        Start date: January 6, 2025

                        +

                        End date: April 25, 2025

                        +

                        APPLIED INTERNSHIPS AT VECTOR

                        +

                        The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                        +

                        KEY RESPONSIBILITIES

                        +
                          +
                        • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;

                        • +
                        • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;

                        • +
                        • Develop open source software for applying AI research techniques to common problems;

                        • +
                        • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;

                        • +
                        • Develop prototypes and proofs of concept;

                        • +
                        • Report and present on software development including status and results; and,

                        • +
                        • Other duties as assigned.

                        • +
                        +

                        PROFILE OF THE IDEAL CANDIDATE

                        +
                          +
                        • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                        • +
                        • You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.

                        • +
                        • Experience in machine learning and/or statistics.

                        • +
                        • Data engineering background working with messy real-world data is preferred.

                        • +
                        • Analytical skills to identify signals in data and feasibility of prediction.

                        • +
                        • Knowledge and experience of Python.

                        • +
                        • Experience with parameter and architecture tuning of deep learning algorithms is preferred.

                        • +
                        • Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).

                        • +
                        • Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.

                        • +
                        +


                        +

                        NICE TO HAVE

                        +
                          +
                        • Data science experience is considered an asset.

                        • +
                        • Software engineering background with experience in industry is considered an asset.

                        • +
                        • Experience working on systems level programming on SLURM is an asset.

                        • +
                        • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                        • +
                        • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                        • +
                        +


                        +

                        Compensation: $25/hour.

                        +


                        +

                        If you have any questions, please contact internships@vectorinstitute.ai.

                        +


                        +

                        Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                        +

                        At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                        +

                        Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                        +

                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508077&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,51,189,https://talenthub.vectorinstitute.ai/jobs/342711414-applied-machine-learning-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, b6f9981e-872a-4269-90f9-e4cd523199dd,343277154,Google,"Software Developer III, Computer Vision/Machine Learning, AR",on_site,"Toronto, ON, Canada",2024-09-23T08:34:03.714Z,"

                        Software Developer III, Computer Vision/Machine Learning, AR

                        @@ -120230,53 +121407,6 @@ b6f9981e-872a-4269-90f9-e4cd523199dd,343277154,Google,"Software Developer III, C

                        To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                        ",,https://www.google.com/about/careers/applications/jobs/results/82925834637058758-software-developer-iii-computer-visionmachine-learning-ar?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-03T08:39:02.200Z,False,0,15,40,https://talenthub.vectorinstitute.ai/jobs/343277154-software-developer-iii-computer-vision-machine-learning-ar-at-google,,expired,2024-09-23T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -bfb1d5a3-6ad8-4a8b-a2dc-b09a498ba164,342711414,Vector Institute,Applied Machine Learning Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.614Z,"

                        Applied Machine Learning Intern

                        -

                        POSITION OVERVIEW

                        -

                        As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and health stakeholders to apply AI. You will work closely with a technical lead on your software development projects for day-to-day direction.

                        -

                        Start date: January 6, 2025

                        -

                        End date: April 25, 2025

                        -

                        APPLIED INTERNSHIPS AT VECTOR

                        -

                        The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                        -

                        KEY RESPONSIBILITIES

                        -
                          -
                        • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;

                        • -
                        • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;

                        • -
                        • Develop open source software for applying AI research techniques to common problems;

                        • -
                        • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;

                        • -
                        • Develop prototypes and proofs of concept;

                        • -
                        • Report and present on software development including status and results; and,

                        • -
                        • Other duties as assigned.

                        • -
                        -

                        PROFILE OF THE IDEAL CANDIDATE

                        -
                          -
                        • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                        • -
                        • You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.

                        • -
                        • Experience in machine learning and/or statistics.

                        • -
                        • Data engineering background working with messy real-world data is preferred.

                        • -
                        • Analytical skills to identify signals in data and feasibility of prediction.

                        • -
                        • Knowledge and experience of Python.

                        • -
                        • Experience with parameter and architecture tuning of deep learning algorithms is preferred.

                        • -
                        • Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).

                        • -
                        • Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.

                        • -
                        -


                        -

                        NICE TO HAVE

                        -
                          -
                        • Data science experience is considered an asset.

                        • -
                        • Software engineering background with experience in industry is considered an asset.

                        • -
                        • Experience working on systems level programming on SLURM is an asset.

                        • -
                        • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                        • -
                        • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                        • -
                        -


                        -

                        Compensation: $25/hour.

                        -


                        -

                        If you have any questions, please contact internships@vectorinstitute.ai.

                        -


                        -

                        Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                        -

                        At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                        -

                        Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                        -

                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508077&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,51,189,https://talenthub.vectorinstitute.ai/jobs/342711414-applied-machine-learning-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, d2f33212-7a3a-4725-8685-0923cd1ac2af,331351870,Ada,Director of AI Growth,full,Canada,2024-06-27T20:17:53.556Z,"

                        At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort. Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx

                        As Ada’s first Director of AI Growth you will report to our CEO to spearhead large language model (LLM)- driven initiatives, pushing the boundaries of outbound demand creation. This pivotal role directly contributes to our strategic goal of amplifying automated resolutions, enhancing our ability to secure new customers, and ultimately boosting conversation volumes. Your mission will be to innovate and execute strategies that not only capture but also convert new leads into Ada’s growing clientele, helping us achieve a significant increase in the building of our outbound pipeline.

                        About You

                        @@ -122569,6 +123699,222 @@ d682b440-d1d2-412b-bb60-5627b7702f97,341330132,Roche,Data Quality Lead Intern,on
                        ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00202900_en&title=AI%20LLM%20Technical%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-21T21:05:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/344787214-ai-llm-technical-architect-at-accenture,,expired,2024-10-03T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +14295943-dc2d-4fe3-a5ba-a62cc2a77bbe,343307748,Deloitte,Senior Business Analyst - Data Governance and Quality - Deloitte Global Technology,on_site,"Ontario, Canada",2024-09-23T16:35:03.305Z,"

                        +

                        Job Type: Permanent
                        Work Model:
                        Hybrid
                        Reference code:
                        127149
                        Primary Location:
                        Toronto, ON
                        All Available Locations:
                        Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Kitchener, ON; Ottawa, ON; Vancouver, BC; Victoria, BC; Winnipeg, MB

                        +
                        +

                        +

                        Our Purpose

                        +

                        +

                        At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                        +

                        By living our Purpose, we will make an impact that matters.

                        +
                        • Learn from deep subject matter experts through mentoring and on the job coaching
                        • Be encouraged to deepen your technical skills…whatever those may be.
                        • Have many careers in one Firm.
                        • +
                        +
                        +
                        +
                        +

                        --

                        +

                        Are you a committed business analyst with experience in CRM implementation? Do you thrive in a fast-paced, agile environment? If so, check out this exciting opportunity!

                        +
                        +
                        +

                        What will your typical day look like?

                        +
                        +

                        The BA is an individual contributor that provides specialized technical and functional expertise in data governance and data quality. The person in this role will be applying strategic and analytical skills to create value to the Global organization implementing technological solutions related to Data Management. The role is focused in requirements elicitation, functional configuration of solutions and execution of functional and non-functional testing.

                        +

                        Role Responsibilities include:

                        +
                        • Hands on management of business and functional requirements elicitation activities, requirements/user stories documentation and socialization. Identification of problem areas, gaps or conflicts derived from gathered information.
                        • Functional implementation of glossaries, data dictionaries, metadata management processes, data quality policies and rules and data integration processes.
                        • Communicate with project managers, application developers, subject matter experts, end users and executives acting as liaison between business and technical areas.
                        • Prepare documentation on expected benefits, use cases, as-is and to-be process, workflows, data flows, final technical solution and end-user adoption plans/guides for area.
                        • At times leads a multifunctional team towards small projects/initiatives.
                        • Organize and facilitate user acceptance testing with business and external technical stakeholders.
                        • Support development and testing activities, clarifying requirements and ensuring alignment throughout the entire development lifecycle.
                        • Develop and conduct group and end user training.
                        • Generate test plans, test cases and execute functional and non-functional IT Quality Assurance testing as part of software development processes.
                        • Maintain and provide accurate testing status reports during testing phases.
                        • Provide input and help in the generation of technical user guides, operational documentation and support scripts
                        • +
                        +
                        +
                        +
                        +

                        About the team

                        +


                        Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in ""what is"" but rather ""what can be"" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived

                        +
                        +
                        +

                        Enough about us, let’s talk about you

                        +
                        +

                        In this role, you bring:

                        +
                        • A bachelor’s Degree on Information Technology or Computer Science

                        • Minimum three (3) years working experience in information technology (IT) area.

                        • Minimum five (5) years working experience in data management, ideally data governance, data quality and data integration.

                        • At least three (3) years of demonstrated and relevant experience in data products, web services, SQL and ETL testing

                        • Strong technical acumen in data management functions, specifically data governance, data quality and data integration (ETL solutions)

                        • Robust knowledge in the following Informatica IDMC components:

                        • Cloud Data Governance and Catalog (CDGC): Business Assets, Technical Assets, Hierarchy, Relationships, Dashboards

                        • Cloud Data Integration (CDI) & Cloud Data Quality (CDQ) & Cloud Data Profiling (CDP): Rules, Mappings, Mapping Tasks, Data Profiling, Occurrences

                        • Metadata Command Center (MCC): Job Monitoring, Asset Trends, Metadata Models

                        • Understanding of QA methods, testing approaches, frameworks, and methodologies

                        • Demonstrated experience with Software Development Lifecycle methodologies, including Agile and waterfall.

                        • Expert in SQL using Microsoft and Oracle relational databases

                        • Familiar with API Testing. Experience with SOAP UI is a plus

                        • Certification and experience with TOSCA for testing automation is a plus

                        • Familiarity with Azure DevOps is desirable.

                        • Analytically and detail oriented. Experience in problem-solving complex problems, working along with multifunctional teams

                        • +
                        +
                        +
                        +
                        +

                        Total Rewards

                        +


                        The salary range for this position is $58,000 - $96,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                        Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                        +
                        +
                        +

                        +

                        Our promise to our people: Deloitte is where potential comes to life.

                        +

                        +

                        Be yourself, and more.

                        +

                        We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                        +

                        You shape how we make impact.

                        +

                        Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                        +

                        Be the leader you want to be

                        +

                        Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                        +

                        Have as many careers as you want.

                        +

                        We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                        The next step is yours

                        +

                        +

                        At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                        +

                        We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                        +

                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                        +

                        ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Business-Analyst-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1211601200/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:47:04.906Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/343307748-senior-business-analyst-data-governance-and-quality-deloitte-global-technology-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Business-Analyst-Data-Governance-and-Quality-Deloitte-Global-Technology-ON/1211601200/,expired,2024-09-23T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +30809967-2b02-4bc0-9287-eac6a32660d3,343275875,RBC,Lead Data Scientist,on_site,"Toronto, ON, Canada",2024-09-23T08:19:03.313Z,"
                        +

                        Job Summary

                        +

                        +

                        +

                        Job Description

                        +

                        What is the opportunity?

                        +

                        +

                        The Personal Banking & Commercial Banking Data Strategy team is looking for a passionate and innovative Senior Data Scientist within our data asset team. As a Data Scientist you will train, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. You will collaborate with a highly talented team of data engineers, data scientists, data architects, and data analysts to deliver business value to the organization. You will develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.

                        +

                        +

                        What will you do?

                        +
                          +
                        • Design, build, validate, deploy, and analyze advanced models using machine learning, AI, and statistics end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance.

                        • +
                        • Work with big data, and cloud technologies such as Spark, Hadoop, and AWS environment (SageMaker, S3, Redshift)

                        • +
                        • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using SQL queries with complex joins, groupings, and aggregations.

                        • +
                        • Partner with RBC internal partners and lines of businesses (Digital Marketing, Programmatic Media) to help them frame use cases and define success metrics (Key Performance Indicators).

                        • +
                        • Document and Validate model design and performance to ensure quality and scalability of all models.

                        • +
                        • Monitor model performance and business success metrics over time.

                        • +
                        • Be responsible for researching new capabilities and technologies to drive innovation.

                        • +
                        • Work closely with development teams to learn about needs, current processes and to promote best practices.

                        • +
                        +

                        +

                        What do you need to succeed?

                        +

                        Must Have

                        +
                          +
                        • Master\'s degree in Statistics, Economics, Marketing (Quantitative Workstream) Mathematics, or related quantitative field

                        • +
                        • 5+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing

                        • +
                        • Strong foundation in statistics, probability, and machine learning (including deep learning), especially in areas like: Causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, propensity modelling, attrition modelling, attribution, segmentation, CLV, and behavioural analytics.

                        • +
                        • Professional software development experience with Spark, Hadoop, AWS Cloud (SageMaker, S3, Redshift), GitHub and SQL

                        • +
                        • Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow/pytorch, etc.)

                        • +
                        • Able to clearly convey technical concepts and results to both technical and non-technical audiences, including senior leadership.

                        • +
                        +

                        +

                        Nice to Have

                        +
                          +
                        • Experience in running A/B testing experiments in production. Experience with relational databases. Domain specific knowledge of marketing campaigns.

                        • +
                        • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred.

                        • +
                        • Publications in machine learning and artificial intelligence.

                        • +
                        • Passion for ethical AI and experience in algorithm transparency and interpretability.

                        • +
                        +

                        +

                        What’s in it for you?

                        +

                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                        +
                          +
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

                        • +
                        • Leaders who support your development through coaching and managing opportunities

                        • +
                        • Ability to make a difference and lasting impact.

                        • +
                        • Work in a dynamic, collaborative, progressive, and high-performing team.

                        • +
                        • A world-class training program in financial services

                        • +
                        • Flexible work/life balance options

                        • +
                        • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.

                        • +
                        • Access to a variety of job opportunities across business and geographies.

                        • +
                        +

                        +

                        #LI-Hybrid

                        +

                        #LI-Post

                        +

                        #LI-PK

                        +

                        +

                        +

                        Job Skills

                        Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

                        +

                        +

                        +

                        Additional Job Details

                        +

                        Address:

                        RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                        City:

                        TORONTO

                        Country:

                        Canada

                        Work hours/week:

                        37.5

                        Employment Type:

                        Full time

                        Platform:

                        PERSONAL & COMMERCIAL BANKING

                        Job Type:

                        Regular

                        Pay Type:

                        Salaried

                        Posted Date:

                        2024-10-09

                        Application Deadline:

                        2024-10-31

                        +

                        +

                        +

                        +

                        +
                        +

                        Inclusion and Equal Opportunity Employment

                        +

                        At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                        ​​​​​​​
                        We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                        +
                        +

                        +

                        +

                        +

                        Join our Talent Community

                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                        +
                        ",,https://jobs.rbc.com/ca/en/job/R-0000102303/Lead-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-23T17:16:42.907Z,False,0,12,81,https://talenthub.vectorinstitute.ai/jobs/343275875-lead-data-scientist-at-rbc,,expired,2024-09-23T08:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +ce49838f-ba2c-4248-b1a2-f30ec11957d8,343307673,Scotiabank,"Director, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.078Z,"

                        +

                        +

                        +

                        +

                        Requisition ID: 206809

                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                        +

                        +

                        Join a purpose driven winning team, acted to results, in an inclusive and high-performing culture.

                        +

                        +

                        Reporting to the VP, Canadian Secured Lending, the Director will work closely with senior management, GRM colleagues, business line leads, and a diverse set of stakeholders to generate insights and deliver strategic recommendations. You will also drive analyses, oversight, and strategic thought leadership for Mortgage, HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

                        +

                        Job Responsibilities:

                        +

                        +
                        • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends; collaborate with the Director, Secured Lending Policy, and Governance and GRM colleagues to establish recommendations based on data-driven observations and analyses.

                        • Lead sensitivity analyses to essay performance benchmarks against various external environments; lead cross-functional teams to establish scenario frameworks and readiness playbooks by identifying and prioritizing levers.

                        • Senior Executive assist for performance trending across portfolio, and preparation of strategic communication materials for Canada Credit Committee and Senior Credit Committee Meetings as required.

                        • Complete competitive / business environment research and benchmarking to find emerging issues and trends and assess the impact / implications of those trends.

                        • Measure and monitor credit score and policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on autonomous analysis of the risk-return trade-off.

                        • Triangulate internal data analyses with macro-economic and consumer trend reports to define customer vulnerability frameworks; establish an integrated set of performance benchmarks to continuously monitor segment performance.

                        • Collaborate with GRM colleagues to improve portfolio monitoring and account management capabilities through integration of new models and frameworks.

                        • Assist annual strategic planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

                        • Lead analyses and strategy development for Retail Credit Risk initiatives related to Capital optimization and Risk Adjusted Return on Capital

                        • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

                        • +
                        +

                        Job Requirements:

                        +

                        +
                        • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a master’s degree in business, statistics, economics, mathematics, management sciences or analytics.

                        • 10 years of relevant work experience in credit risk and analytics

                        • Exceptional problem-solving skills, with ability to manage ambiguity.

                        • Strategic orientation with strong innovative and integrative acumen

                        • Strong analytical skills and ability to create and interpret information/data required to monitor the performance.

                        • Able to effectively manage relationships across the Bank.

                        • Excellent Executive communication and storyboarding skills

                        • Strong leadership and social skills that facilitate an effective team environment.

                        • Demonstrated commitment to coaching and developing staff.

                        • Highly organized with demonstrated ability to make decisions in time pressured environment

                        • +
                        +

                        +

                        Location(s): Canada : Ontario : Toronto

                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                        ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-23T17:35:54.696Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/343307673-director-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584449617/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +ec1554b2-b698-47f4-9ad1-5812265a13e7,347009465,BMO Financial Group,"Senior Campaign Data Analyst, Campaign Analytics & Execution",on_site,"Ontario, Canada",2024-10-20T08:18:01.775Z,"
                        +

                        Application Deadline:

                        10/30/2024

                        +

                        +

                        Address:

                        100 King Street West

                        +

                        +

                        Job Family Group:

                        Data Analytics & Reporting

                        +

                        +

                        +

                        +

                        We are looking for a talented individual to join our team in the position of Senior Campaign Data Analyst, Campaign Analytics & Execution. This individual will be responsible for Campaign Analytics supporting all Wealth businesses.

                        +

                        +

                        The role will sit on the Wealth Digital, Data & Analytics team. The individual will support the new Wealth Leads optimization project to improve efficiency on current process and generate incremental revenue for Wealth. This individual will also support with sizing, execution, channel loading, performance tracking for multiple wealth campaigns. This individual will drive insights to existing campaigns and will be responsible for developing and supporting the creation of new dashboards for existing and new campaigns. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and implement analytics/machine learning solutions to senior leadership.

                        +

                        +

                        Key Accountabilities:

                        +
                          +
                        • Be proactive supporting all Wealth businesses. Think strategically and work independently with minimal supervision.

                        • +
                        • Improve and automate process using a variety of tools to drive operational efficiency.

                        • +
                        • Research, design and implement campaign reporting infrastructure that leads to automated and flexible reporting.

                        • +
                        • Work with internal clients and diverse stakeholders to understand their business objectives, scope and KPIs and translate them into actionable campaigns projects.

                        • +
                        • Produce dashboards, reports, analysis, insights that drive decisions and help us build better campaigns and experiences.

                        • +
                        • Manage and enhance daily/weekly/monthly campaign reporting to provide results and context to deliver actionable insights to senior management, not just reporting data

                        • +
                        • Manage, prioritize, and respond to ad-hoc requests.

                        • +
                        • Take the lead on campaign performance measurement and increasing productivity of all marketing initiatives

                        • +
                        +

                        +

                        Qualifications:

                        +
                          +
                        • Minimum 2 years of proficient work experiences in the Financial industry and Consumer Campaign Management & Execution data analysis

                        • +
                        • Demonstrated proficiency in working with large varied datasets, both structured and unstructured data, using SAS. Other assets - proficiency in AWS, GCP, SQL, R, Python, Tableau, Power BI and Spotfire

                        • +
                        • Post-Secondary education in Business Analytics, Math, Computer Science, Statistics, Actuarial Science, or Business

                        • +
                        • Good verbal and written communication skills; able to effectively present analytics data to business users at the Manager / Senior Manager level

                        • +
                        • Experience in running campaigns through design, execution and performance tracking

                        • +
                        • A strong passion for data, charts, analysis, trends, and evangelizing data usage

                        • +
                        • Knowledge of BMO wealth products and understanding of current market trends are assets

                        • +
                        • Self-starter & strong relationship building skills. Ability to thrive on a high-degree of independence and ownership

                        • +
                        • Experience in machine learning/deep learning algorithms are assets

                        • +
                        +

                        +

                        +
                        +

                        +

                        Salary:

                        +
                        $54,500.00 - $101,500.00

                        +

                        Pay Type:

                        Salaried

                        +

                        The above represents BMO Financial Group’s pay range and type.

                        +

                        +

                        Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                        +

                        +

                        BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                        +

                        +

                        +

                        We’re here to help

                        +

                        +

                        At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                        +

                        +

                        As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                        +

                        +

                        To find out more visit us at https://jobs.bmo.com/ca/en.

                        +

                        +

                        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                        +

                        +

                        Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                        +
                        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst--Campaign-Analytics---Execution_R240022495?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-24T08:23:02.741Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/347009465-senior-campaign-data-analyst-campaign-analytics-execution-at-bmo-financial-group,,expired,2024-10-20T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 7f261481-e9e7-4274-9446-82b6244efa46,109321431,BenchSci,MLOps Engineer (Remote),on_site,"Toronto, Ontario /",2022-02-17T05:04:41.417Z,"
                        BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.

                        @@ -133563,1119 +134909,3 @@ dfe226f9-d37c-4148-8a8a-9649ad0f61af,131339863,RBC,"Manager, AML Data Management

                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                        Inclusion and Equal Opportunity Employment

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                        ",,https://www.borealisai.com/en/careers/employment/6114159002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-06-18T13:55:35.290Z,False,0,7,54,https://talenthub.vectorinstitute.ai/jobs/125658028-machine-learning-software-engineer-at-borealis-ai,,expired,2022-05-16T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6a05ddbf-3213-4aec-9e52-aa09f2a28432,129761862,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2022-06-05T07:35:03.381Z,"
                        -
                        -

                        Description

                        -
                        -

                        -

                        Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Inventory, Ordering and Fulfillment team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of our reporting and data analytics systems.

                        -

                        -

                        You’ll be part of a multidisciplinary team of data engineers and developers who are paving our journey for analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                        -

                        -

                        Our team and what we’ll accomplish together

                        -

                        -

                        As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Inventory, Ordering and Fulfillment team is at the helm of building world-class solutions by delivering applications and data analytics capabilities built upon unified scalable platforms, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                        -

                        -

                        As Senior Data Manager on our team, you will have the opportunity to design innovative data solutions and solve challenging problems, while making an impact. The possibilities are endless – at any given time, you could be collaborating to build a data warehouse from scratch, writing beautiful code, or working with our internal partner teams to provide sound data sets. It’s why we’re looking for a data superstar who is filled with ideas as well as the delivery-focused mindset to execute them! There will be tons of learning opportunities along the way, not to mention the ability to work with some of the best leaders and mentors in the industry.

                        -

                        -

                        You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                        -
                        -
                        -
                        -

                        What you’ll do

                        -
                        -

                        -
                          -
                        • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                        • -
                        • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                        • -
                        • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                        • -
                        • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                        • -
                        • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                        • -
                        • Implement automation and monitoring tools through a test-driven approach and mindset
                        • -
                        • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                        • -
                        -

                        -

                        -
                        -
                        -
                        -

                        Qualifications

                        -
                        -

                        -

                        -

                        What you bring

                        -

                        -

                        You are the missing piece of the puzzle with these skills

                        -

                        -
                          -
                        • An expert understanding of business intelligence, data warehouses architectures and ETL processes
                        • -
                        • Advanced knowledge in CloudSQL, BigQuery, NiFi and Kafka, as well as other data pipeline components
                        • -
                        • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                        • -
                        • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                        • -
                        • Experience with Python and software engineering best practices
                        • -
                        • Experience with data pipeline and workflow management tools such as Airflow
                        • -
                        • 3+ years of progressive and relevant work experience
                        • -
                        -

                        -

                        Great-to-haves

                        -

                        -
                          -
                        • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                        • -
                        • Machine learning and data science knowledge
                        • -
                        • CI/CD experience
                        • -
                        -

                        -

                        -
                        -
                        -
                        ",,https://careers.telus.com/job/Toronto-Data-Engineer-ON/559103217/,feed-importer@jobboard.io,,,,2022-06-20T07:40:08.624Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/129761862-senior-data-engineer-at-telus,,expired,2022-06-05T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -0bd44a9a-cf8c-4d1b-a47f-d799b960d3a3,130552156,TD Bank Group,Business Insights Analytics,on_site,"Toronto, ON",2022-06-09T21:06:23.701Z,"
                        -

                        Company Overview

                        -
                        -

                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                        -

                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                        -
                        -

                        -

                        Department Overview

                        -
                        -

                        TD Data Analytics & Reporting (DAR) Practice

                        -

                        -

                        What does TD DAR stand for?

                        -

                        As part of the TD Enterprise Data & Analytics team, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                        -

                        -

                        TD DAR provides analytical thought leadership and strategic advice to enable our partners to make data-driven decisions. We support the firm’s strategic objective to leverage data and advanced analytical techniques to solve for complex business problems.

                        -
                        -

                        -

                        Job Description

                        -
                        -

                        About this Role

                        -

                        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights, and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                        -

                        -

                        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering, and educating your peers to collaborate and bring TD into the future of banking.

                        -

                        -

                        -

                        -

                        As a Business Insights Analyst, you will:

                        -
                          -
                        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives

                        • -
                        • Develop analysis to illustrate business trends and identify areas of business opportunities

                        • -
                        • Produce insights and recommend business actions to align with strategy and/or solve business problems

                        • -
                        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners

                        • -
                        -
                          -
                        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships

                        • -
                        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain

                        • -
                        • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise

                        • -
                        • Execute on data requests accurately and within a timely manner and provide day-to-day support and delivery of analytics

                        • -
                        • Work independently as the senior analyst/subject matter expert and may coach and educate others

                        • -
                        -
                          -
                        • Considered an authority within a given area

                        • -
                        • Oversee and/or independently perform tasks from end to end

                        • -
                        • Build understanding of cloud infrastructure and advanced analytics capabilities

                        • -
                        -

                        -

                        Additional responsibility for L10 and L11 hiring

                        -
                          -
                        • Act as a lead for the project team in providing guidance on both technical matters as well as the business context of the analytical problems. Work autonomously as well as acting as a lead within a specialized business management function and provide work direction to others

                        • -
                        • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations

                        • -
                        • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value

                        • -
                        • Formulate relevant and significant data analysis through comprehensive data engineering and profiling tools

                        • -
                        • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help effective risk management in the business

                        • -
                        -
                        • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity.

                        -
                        -

                        -

                        Requirements

                        -
                        -

                        What can you bring to TD?

                        -

                        Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                        -
                          -
                        • Strong ownership mentality, proactive attitude, and ability to get things done

                        • -
                        • Work collaboratively with business leaders and technical experts to conceptually understand business problems to inform analyses

                        • -
                        • Exercise critical thinking and judgement to determine the appropriate analytical solution (e.g. segmentation, Markov Chain analyses, probabilistic forecasting, decision trees, etc.) and/or identify actionable opportunities to improve Enterprise & Client outcomes

                        • -
                        • Ability to work with large and complex data sets, fluency in SQL

                        • -
                        -
                          -
                        • Strong oral & written communication skills; ability to distill the most salient results of an analyses and convey insights and implications to business leaders

                        • -
                        • Hands-on experience with advanced dashboarding and visualization (e.g., Tableau), an asset

                        • -
                        • Working knowledge of Python or R

                        • -
                        • The right person will have strong business sense and will demonstrate critical thinking and structured problem-solving skills

                        • -
                        • Strong verbal and written communications skills are a must

                        • -
                        -
                          -
                        • Being detail oriented with excellent analytical, quantitative, and investigative skills

                        • -
                        • Ability to multi-task and work independently in a fast-paced, dynamic environment

                        • -
                        • Comfortable in a team environment with changing priorities

                        • -
                        • Highly motivated with ability to work independently, and drive results; a self-starter

                        • -
                        • Understanding/Experience of Salesforce is an advantage

                        • -
                        -
                          -
                        • Hands-on experience with statistical modeling and machine learning including NLP, an asset

                        • -
                        • Data visualization and storytelling in Tableau.

                        • -
                        • Experience in Financial Services / Wealth Management business is an advantage

                        • -
                        • Undergraduate degree or technical certificate

                        • -
                        • Five (5) or more years relevant experience

                        • -
                        -
                        • Advanced degrees in MMA/MBAn and/or STEM, an asset

                        -

                        -

                        Additional requirements for L10 and L11 hiring

                        -
                          -
                        • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)

                        • -
                        • Experience with creating complex Tableau dashboards considered an asset

                        • -
                        -
                        • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

                        -
                        -

                        -

                        Additional Information

                        -
                        Note: We are hiring for multiple roles and seniority levels.
                        #businessIntelligence
                        #LI-Hybrid

                        -

                        -
                        -

                        -

                        Hours

                        -
                        37.5
                        -

                        -

                        Inclusiveness

                        -

                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                        -

                        -
                        ",,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/130552156-business-insights-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,expired,2022-06-09T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -1d4dd3cd-157c-4904-a9b3-31534d0a747d,132006551,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-16T21:06:05.058Z,"
                        -

                        Company Overview

                        -
                        -

                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                        -

                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                        -
                        -

                        -

                        Department Overview

                        -
                        -

                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                        -

                        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                        -
                        -

                        -

                        Job Description

                        -
                        -

                        -

                        About this Role

                        -

                        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                        -

                        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                        -

                        -

                        As a Senior Business Insights Analyst, you will:

                        -
                          -
                        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                        • -
                        • Develop analysis to illustrate business trends and identify areas of business opportunities
                        • -
                        • Produce insights and recommend business actions to align with strategy and/or solve business problems
                        • -
                        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                        • -
                        • Execute on data requests accurately and within a timely manner
                        • -
                        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                        • -
                        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                        • -
                        • Provides day-to-day support and delivery of analytics
                        • -
                        • Work independently as the senior analyst/subject matter expert and may coach and educate others
                        • -
                        • Considered an authority within a given area
                        • -
                        • Oversee and/or independently perform tasks from end to end
                        • -
                        -
                        -

                        -

                        Requirements

                        -
                        -What can you bring to TD?

                        -

                        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                        -
                          -
                        • Undergraduate degree or technical certificate
                        • -
                        • Five (5) or more years relevant experience
                        • -
                        • Hands on experience in Python/PySpark, Tableau, and SQL
                        • -
                        • Experience in modeling (ML algorithms) is desirable
                        • -
                        • Management consulting and/or MBA background is preferable
                        • -
                        -
                        -

                        -

                        Hours

                        -
                        37.5
                        -

                        -

                        Inclusiveness

                        -

                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                        -

                        -
                        ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132006551-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7f81ad33-fead-473a-aec1-0b2f8cbdc339,131989914,UOIT,"Researcher, Postdoc, MASc/PhD student",on_site,"Oshawa, ON, Canada",2022-06-16T13:55:56.446Z,"

                        Design knowledgebase with user interface to manage operation and maintenance procedures for industrial facility with learning capabilities from input documents, voice, images, videos, and data files and automatically update knowledge structure. Learn from human experience and add to the knowledge structure. Develop automated synthesis for input text from documents, voice, images, and videos, and use learning techniques to update knowledge structure. Develop reasoning techniques to answer questions and interact with users. Validate question and answer accuracy to reach acceptable confidence level in view of user requirements. Ability to read multiple input files and sources with reference in the knowledge base to different sources and versions of the reference source to link with the answers to user questions and learning from human experience.

                        -

                        Develop business models for main activities using IDEF0, with defining input, output data, available controls, and systems/tools to implement within the business organization. Install the system on apps. Develop human models to adopt with the human experience learning and reasoning models. Develop enhanced user interfaces and automated reporting with execution scenarios.

                        ",hossam.gaber@ontariotechu.ca,,hossam.gaber@ontariotechu.ca,http://faculty.uoit.ca/gaber/,,,2022-07-16T16:37:00.000Z,False,2,0,99,https://talenthub.vectorinstitute.ai/jobs/131989914-researcher-postdoc-masc-phd-student-at-uoit,,expired,2022-06-16T13:55:00.000Z,website,Enterprise (500+),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, -a82454f2-c76b-4237-87d4-1bde81f27cb8,131917545,Thales,Cyber Defence Specialist,on_site,"Ontario, Canada",2022-06-16T07:35:03.693Z,"
                        Location: Remote Canada, Canada

                        -

                        Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s\'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l\'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

                        -

                        -

                        -

                        In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow\'s possible.

                        -

                        -

                        -

                        -

                        Position Summary

                        -

                        The Cyber Defense Specialist is responsible for the prevention of Cybersecurity incidents by real-time monitoring, detection, and analysis of potential intrusions. This includes using troubleshooting tools to analyze and respond to cyber threats, writing scripts to aid in quick analysis and response, and responding to security events. The position operates and tunes security tools, provides requirements for new security capabilities and creates use cases for monitoring. In addition, the position creates and follows up on incident reports, creates daily, weekly and monthly reporting metrics and manages vendor relationships as needed.

                        -

                        -

                        The Cybersecurity Operations Centre (CSOC) team will rely on your contribution to perform an in-depth analysis of evidence, identify the malicious operations and evaluate the real impact in order to solve in a quick and efficient manner. This is a key role when it comes to onboarding new customers, maintaining the CSOC’s infrastructure and continuous improvement.

                        -

                        -

                        Key Responsibilities

                        -

                        The security specialist must have an in-depth knowledge, skills and work experience in a Security Operation Centre (SOC), Cloud infrastructure and security, SIEM, EDR, log and network analysis, Network security (Firewall, WAF, IDS/IPS), Infrastructure are vital for this role.

                        -
                          -
                        • Must be analytical with detail-oriented analysis and great documentation skills.
                        • -
                        • Must be capable using various SIEM vendors, SOAR and Cybersecurity monitoring technologies.
                        • -
                        • Carry out first responder actions, triaging and containing breaches.
                        • -
                        • Must be capable of advance analysis in respond to security incidents. Securely collect artifacts, analyze for malicious behavior and carry out analysis to determine the root cause of events.
                        • -
                        • Lead threat-hunting activities, looking for anomalies. Ingest, analyze and contextualize data and turn that into intelligence for threat assessment and risk management.
                        • -
                        • Proficient knowledge in interpreting and constructing queries, Malware obfuscated codes and network packets.
                        • -
                        • Reverse engineer malware and malicious code to determine the risk and impact across differing platforms, from enterprise to field equipment, and then feed that information back into the architecture for security enhancement. -
                        • -
                        • Document incidents from initial detection through final resolution.
                        • -
                        • Provide advice on configuration of network security devices for service and security enhancement.
                        • -
                        • Point of escalation for other CSOC analysts in support of cybersecurity investigations. Provide guidance and oversight on incident resolution and containment techniques.
                        • -
                        • Develops metrics and reports on intelligence and incidents for management.
                        • -
                        • Contribute to the creation, update and distribution of incident response best practices to include response capabilities and recommendations to senior leadership when dealing with incidents that affect the business.
                        • -
                        • Ensuring support tickets are up to date with the most current data. Provide proper escalations and hand overs to management and support staff.
                        • -
                        • Communicate effectively (team spirit) with customers, colleagues, and management.
                        • -
                        • Proficient in designing, implementing and maintaining SIEM platform, log management systems, and correlation engine.
                        • -
                        • Proficient in vulnerability analysis, incident management, management of SIEM, Firewall, WAF, IDS/IPS, Data Loss Prevention (DLP), and threat intelligence platform.
                        • -
                        • Must be able to continuously improve and tune SIEM, SOAR use cases and assist in maintaining the CSOC platform.
                        • -
                        • Proficient in diverse system infrastructure (Windows, *nix).
                        • -
                        • Expertise in integrating, and maintaining applications Apache (Kafka, Storm, Spark), Ansible, and ELK is a plus.
                        • -
                        • Must have expertise supporting one or various Cloud infrastructure (Azure, AWS, GCP or IBM Cloud)
                        • -
                        • Excellent in creating reports, presentations, architecture, workflow diagrams, and documentations.
                        • -
                        • Up-to-date with the latest Cybersecurity trends, news and threat landscapes, IoT, Big Data, Cloud Security, and Digital Transformation.
                        • -
                        • Support customer onboarding projects to ensure a successful transition to CSOC for security monitoring services
                        • -
                        -

                        -

                        Key Requirements

                        -
                          -
                        • Bachelor degree in engineering, computer science, cybersecurity or related IT fields or job experience equivalent with a minimum of five (5) years of experience
                        • -
                        • Candidate must have a strong background in System/Network Architecture, and Cybersecurity consulting. Experience in building and assessing a secure infrastructure, Security Operation Centre, and Cloud infrastructure.
                        • -
                        • Currently holding one or more Cybersecurity industry recognized certifications: (ISACA, ISC2, GIAC SANS, CompTIA, Offensive-Security)
                        • -
                        • Vendor specific training and certifications: IBM QRadar, Splunk, PaloAlto, Demisto, FireEye, Forescout, Cisco, Microsoft, Amazon (AWS)
                        • -
                        • Over 3 years of related experience on a Computer Incident Response Team (CIRT), Computer Emergency Response Team (CERT), Computer Security Incident Response Center (CSIRC) or a Security Operations Center (SOC)
                        • -
                        • Knowledgeable with NIST Cybersecurity Framework (CSF), MITRE ATT&CK and d3fend
                        • -
                        • Experience in building SOC processes, Playbooks, Correlation rules, and Incident report.
                        • -
                        • Experienced in Cloud infrastructure and Cloud security monitoring is a plus.
                        • -
                        -

                        -

                        Key Qualifications

                        -
                          -
                        • Experience working in a SOC environment (Internal or MSSP)
                        • -
                        • Experience monitoring enterprise environment. Operation Technology (OT) or ICS, Aerospace environment is a plus.
                        • -
                        • Knowledge of numerous of operating systems, from the latest to legacy Windows, UNIX. Embedded OS, platforms is a plus.
                        • -
                        • Strong understanding of security incident management, malware management and vulnerability management processes.
                        • -
                        • Security monitoring experience with one or more SIEM technologies – IBM QRadar, Splunk, Microsoft Sentinel, LogRhythm, intrusion detection and prevention technologies, SecurityOnion, Suricata, Beats, Sysmon, Syslog, and ELK
                        • -
                        • Experience building, integrating, and maintaining SOAR platform: xSOAR, IBM Resilient, TheHive and Cortex
                        • -
                        • Knowledgeable of networking: TCP/IP, WAN, LAN, VLAN, MPLS, VPN, firewalls, switches, proxy
                        • -
                        • Knowledgeable of system infrastructure: Unix/Linux OS, LDAP, DNS, DHCP, SMTP, NTP, associated anti-virus/EDR,
                        • -
                        • Willingness to keep skills up to date, supported by training and mentoring.
                        • -
                        • Strong written communication skills and presentation skills.
                        • -
                        • Self-starter, work independently and adjust to changing priorities, critical and strategic thinker, negotiator and consensus builder. ​
                        • -
                        -

                        -

                        Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                        -

                        -

                        Thales est un employeur offrant l’égalité des chances qui valorise la diversité et l’inclusion sur le lieu de travail. Thales s’engage à mettre en place des mesures d’adaptation tout au long du processus de recrutement. Les candidats sélectionnés pour une entrevue et ayant besoin de mesures d’adaptation sont priés de le faire savoir lors de l’invitation à l’entrevue; notre équipe travaillera volontiers avec chaque candidat pour répondre à ses besoins particuliers. Tous les renseignements relatifs aux mesures d’adaptation seront traités d’une manière confidentielle et utilisés uniquement dans le but d’offrir une expérience candidat adaptée.

                        -

                        Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
                        ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Remote-Canada/Cyber-Defence-Specialist_R0171228-1,feed-importer@jobboard.io,,,,2022-07-16T13:33:07.281Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/131917545-cyber-defence-specialist-at-thales,,expired,2022-06-16T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, -7a33c689-6f7c-45ae-bc76-cc4969310b8a,132128463,Scotiabank,"Manager, Analytics",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:04.958Z,"

                        -

                        -

                        -

                        -

                        Requisition ID: 154810

                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                        -

                        -

                        Purpose of Job:

                        -

                        -

                        The Manager, Analytics is a key contributer to the success of the Policy Adherence & Effectiveness (PAE) team of Global Risk Management (GRM).

                        -

                        -

                        The Manager, Analytics is required to have a high degree of analytical and technical knowledge and experience, combined with a strong understanding of retail and small businses credit risk policies/processes/lifecyle for Canada, Caribbean and/or Central America (C&CA). Technical knowledge and experience of SAS, Proc SQL with SAS, data repositories (for retail & small business portfolios in Canada and C&CA), and Microsoft Office products, especially Excel is required. Experience and knowledge of the various adjudication and document retention platforms used in Canada & C&CA is also an asset.

                        -

                        -

                        The Manager, Analytics is responsible for the acquisition, organization and reporting of retail credit risk data to support the credit review process of loans funded in Canada and C&CA, for both the retail and small business portfolios in the following ways:

                        -

                        -
                        • Collection of account and application level data from multiple business lines and is expected to have knowledge and experience with writing SQL in order to fulfill this;
                        • Assisting with updating the Risk Coverage Matrix;
                        • Creation and maintaince of dashboards used for analysis and monitoring;
                        • Performing data analysis reviews to identify potential risk trends.
                        • -
                        -

                        -

                        They will also work with the Senior Manager, Reporting & Process Design in developing a strategy and framework for managing and tracking the recommendations made via the credit reviews, identifying data integrity issues with findings discussed with management, and will assist in the creation and implementation of effective reporting systems.

                        -

                        -

                        In fulfilling the role, the Manager will interact closely with GRM, the various business lines in Canada and C&CA, technical development teams, data analytics teams, systems, operations, Audit, Bank regulators, and any other stakeholders as deemed necessary for accurate and meaningful reporting.

                        -

                        -

                        Job Responsibilities:

                        -

                        -
                        1. Assist with the generation and continued improvement of the regular reporting on credit originations, account management and collections strategies for all Retail and Small Business portfolios in Canada and C&CA;
                        2. -
                        -

                        -
                        1. Aid in the design, development, implementation, automation and maintenance of credit risk reports using various platforms and systems (e.g. SAS, Excel, Access, VBA, SQL Server;
                        2. -
                        -

                        -
                        1. Perform analysis of the credit portfolios relevant account and application level data results to identify data integrity issues, potential credit and/or operational risk trends, and policy and regulatory breaches. They should also stay up to date in advances in risk and performance analytics and apply those developments to the extent appropriate;
                        2. -
                        -

                        -
                        1. Investigate the credit issues and increased areas of risk identified in the analysis to determine the significance, root cause, and provide effective recommendations to the relevant business lines on how to resolve the noted issue(s);
                        2. -
                        -

                        -
                        1. Validate and review data report results to ensure accuracy, this will require to incumbent to stay abreast of upcoming changes to the data, tables and sources as well as credit policies, strategies and processes;
                        2. -
                        -

                        -
                        1. Ensure reporting development, production, and control processes are consistent with Bank's standard end user computer policies. Ensure reporting processes and definitions are adequately documented and periodically reviewed and updated, as required;
                        2. -
                        -

                        -
                        1. Continuously look for ways to improve/upgrade the current analytical data summary tools and reporting and then implement them;
                        2. -
                        -

                        -
                        1. Other data and analysis related duties and assignments as required.
                        2. -
                        -

                        -

                        Job Requirements:

                        -

                        -
                        • A University degree in Business, Statistics or in an Information Technology related discipline is required.
                        • SAS Certification
                        • -
                        -

                        ​​​​​​​

                        -

                        A minimum of three or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.

                        -

                        -

                        The incumbent must have experience and knowledge of complex multi-dimensional computer design, programming, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:

                        -

                        -
                        • SAS, Proc SQL with SAS, Python is a plus
                        • Office applications i.e. VBA, MS Excel, Macros, other MS Office products;
                        • Database applications i.e. SQL server is a plus
                        • Visualization Tools i.e. Tableau and PowerBI is a plus
                        • Working with large amounts of data from a variety of different sources, relational databases;
                        • Demonstrate innovation by devising novel solutions that will streamlines processes and improve effectiveness;
                        • Have a strong sense of curiosity and is driven to seek a comprehensive understanding of a project and all related processes and policies;
                        • Ability to think outside the box, and in a strategic manner in order to connect processes, policies, systems, and technical platforms as well as assess their application as translated into data;
                        • Experience effectively working in a global matrix team, across a range of functions, seniority and geography;
                        • Highly motivated, Results focused and organized individual with strong communication and interpersonal skills, knowledge of project and process management disciplines and a positive 'can do' attitude;
                        • Strong time management skills, ability to multi-task, while being results oriented and team focused;
                        • A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
                        • -
                        -

                        -

                        Location(s): Canada : Ontario : Toronto

                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                        ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/560623617/,feed-importer@jobboard.io,,,,2022-07-18T20:35:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/132128463-manager-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/560623617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -35da1a97-016e-4c67-8916-a0d9156b2866,117534158,Borealis AI,Machine Learning Researcher - Causality,on_site,"Ontario, Canada",2022-03-31T21:45:03.120Z,"
                        -
                        -

                        What\'s the opportunity?

                        -

                        As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                        -

                        -

                        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                        -

                        Your responsibilities include:

                        -
                          -
                        • Developing novel AI solutions that facilitate impactful products;
                        • -
                        • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                        • -
                        • Working with the development team to transfer research work into production;
                        • -
                        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                        • -
                        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                        • -
                        -

                        You’re our ideal candidate if you have:

                        -
                          -
                        • Experience in researching or applying causal inference;
                        • -
                        • A passion for solving open problems using data and algorithms;
                        • -
                        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                        • -
                        • Ability to formulate and drive a research project independently without close supervision;
                        • -
                        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                        • -
                        -

                        What’s in it for you?

                        -
                          -
                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                        • -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                        • -
                        • Leaders who support your development through coaching and managing opportunities;
                        • -
                        • Ability to make a difference and lasting impact from a local-to-global scale.
                        • -
                        -

                        About Borealis AI

                        -

                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                        -
                        -
                        -
                        -
                        -
                        -
                        -
                        -

                        ",,https://www.borealisai.com/en/careers/employment/5689077002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,47,https://talenthub.vectorinstitute.ai/jobs/117534158-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-03-31T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, -c3ac78a0-29e1-4e85-88ee-1213444ebc49,137045748,Borealis AI,Senior Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-07-13T21:46:02.572Z,"
                        Available Locations
                        Montreal

                        What\'s the opportunity?

                        -

                        We’re looking for a Senior Engineering Manager to lead our Montreal engineering team, working at the forefront of machine learning technology and working on extremely challenging problems.

                        -

                        -

                        As a Senior Machine Learning Engineering Lead, you will manage a team of managers and engineers involved in multiple ML projects. You will support those projects through the entire lifecycle—from research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work along other senior managers in engineering and across Borealis AI to help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

                        -

                        Your responsibilities include:

                        -
                          -
                        • Provide strategic direction, leadership and management to a team of managers and engineers involved in multiple ML projects
                        • -
                        • Provide functional management to multiple ML projects
                        • -
                        • Establish high standards and share technical knowledge in performance, scalability, system architecture, and engineering best practices;
                        • -
                        • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                        • -
                        • Grow and develop the team, helping each team member advance their career development.
                        • -
                        • Work with Borealis senior leadership to achieve the Borealis mission and strategy
                        • -
                        • Drive cross-team cohesion and help to build the culture of the Montreal office
                        • -
                        -

                        You\'re our ideal candidate if you:

                        -
                          -
                        • Have 12+ years of experience delivering software projects to production;
                        • -
                        • Have 7+ years experience managing engineering teams;
                        • -
                        • Experience working collaboratively with business, product and other technical teams;
                        • -
                        • Have led the full lifecycle of software product development including the successful deployment of products to production;
                        • -
                        • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                        • -
                        • Experience working in an agile environment, including managing team members across multiple different projects and/or products
                        • -
                        • Experience managing hybrid teams; promote an excellent employee experience regardless of where employees are
                        • -
                        • Have a background in machine learning or a related field;
                        • -
                        • Experience with financial services and enterprise software.
                        • -
                        -

                        What\'s in it for you?

                        -
                          -
                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                        • -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                        • -
                        • Leaders who support your development through coaching and managing opportunities;
                        • -
                        • Ability to make a difference and lasting impact from a local-to-global scale.
                        • -
                        -

                        About Borealis AI

                        -

                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                        -

                        Inclusion and Equal Opportunity Employment

                        -

                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                        -

                        -

                        -

                        ",,https://www.borealisai.com/en/careers/employment/6039893002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/137045748-senior-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-07-13T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -d7fee23d-369b-43a8-b9da-77f93e74af48,133415875,Layer 6,Machine Learning Product Engineer,on_site,"Ontario, Canada",2022-06-23T20:40:14.443Z,"

                        Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                        -

                        Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                        -

                        Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                        -

                        -

                        Job Description:

                        -

                        Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                        -

                        Customer Accountabilities:

                        -
                          -
                        • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                        • -
                        • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                        • -
                        • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                        • -
                        • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                        • -
                        • Act as the expert or lead innovator and agent of change for the programs and services under management
                        • -
                        • Work with other teams to implement best practices for engineering and management
                        • -
                        • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                        • -
                        • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                        • -
                        • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                        • -
                        -

                        Shareholder Accountabilities:

                        -
                          -
                        • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                        • -
                        • Monitor and control costs within own work
                        • -
                        • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                        • -
                        • May develop and/or contribute to negotiations of third party contracts/agreements
                        • -
                        • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                        • -
                        • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                        • -
                        • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                        • -
                        • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                        • -
                        • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                        • -
                        • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                        • -
                        • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                        • -
                        • Maintain the model in production and ensure the data/model related knowledge continuation within L6
                        • -
                        -

                        -

                        Job Requirements:

                        -

                        Employee/Team Accountabilities:

                        -
                          -
                        • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
                        • -
                        • Prioritize and manage own workload in order to deliver quality results and meet timelines
                        • -
                        • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                        • -
                        • Participate in knowledge transfer with senior management, the team, other technical areas and business units
                        • -
                        • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                        • -
                        • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                        • -
                        -

                        Breadth and Depth:

                        -
                          -
                        • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
                        • -
                        • Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
                        • -
                        • Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
                        • -
                        • Acts as a key contributor in a complex and critical environment
                        • -
                        • May provide leadership to teams or projects; shares expertise
                        • -
                        • Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
                        • -
                        • Generally reports to a Senior Manager or above
                        • -
                        -

                        Experience and/or Education:

                        -
                          -
                        • University or post-graduate degree
                        • -
                        • Strong academic background (e.g., computer science, engineering)
                        • -
                        • 7 + years relevant experience
                        • -
                        -

                        -

                        Additional Information:

                        -

                        Required Technical Skills

                        -
                          -
                        • BSc+ in Computer Science, Math, Physics, or similar
                        • -
                        • 2+ years of extensive programming experience, at least 1 year in building production data systems
                        • -
                        • 1+ year experience of building machine learning production system
                        • -
                        • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                        • -
                        • Good knowledge of Machine Learning and Deep Learning
                        • -
                        • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                        • -
                        • Strong experience with Scala and Java 8
                        • -
                        -

                        Nice to have Skills

                        -
                          -
                        • C++, Python experience
                        • -
                        • Experience in systems/infrastructure projects on AWS and Azure
                        • -
                        -

                        Benefits

                        -
                          -
                        • Entrepreneurial and inclusive culture
                        • -
                        • Excellent health coverage and pension plan
                        • -
                        • Four weeks paid vacation
                        • -
                        • Catered lunches twice a week over machine learning talks
                        • -
                        ",careers@layer6.ai,,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-07-23T20:40:16.698Z,False,0,0,26,https://talenthub.vectorinstitute.ai/jobs/133415875-machine-learning-product-engineer-at-layer-6,,expired,2022-06-23T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -140c64d2-be77-4bc3-bebd-c32a671d6dd6,133415884,Layer 6,Machine Learning Engineer - Backend,on_site,"Ontario, Canada",2022-06-23T20:45:03.156Z,"

                        We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                        -

                        We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                        -

                        -

                        As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                        -

                        Must-have:

                        -

                        – BSc+ in Computer Science or similar
                        – 3+ years of programming experience
                        – Proven experience in designing and delivering a complex web application
                        – Experience as a key contributor and leader on projects
                        – Strong experience in Java and its ecosystem
                        – Passionate about creating maintainable and performant software
                        – Strong desire to learn and solve problems

                        -

                        Nice to have

                        -

                        – Experience with databases such as Elasticsearch
                        – Experience with microservice architecture
                        – Familiarity with data analysis or machine learning
                        – Experience with Docker and Kubernetes
                        – Comfortable with math (linear algebra, calculus)

                        ",careers@layer6.ai,,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-07-23T20:45:06.113Z,False,0,0,32,https://talenthub.vectorinstitute.ai/jobs/133415884-machine-learning-engineer-backend-at-layer-6,,expired,2022-06-23T20:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0b0bc32f-76c4-4cad-b1e3-87ce3270b54c,137169101,CIBC,"Consultant, Data Engineering and Reporting",on_site,"Ontario, Canada",2022-07-14T10:46:05.276Z,"
                        -

                        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                        -

                        -

                        At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                        -

                        -

                        To learn more about CIBC, please visit CIBC.com

                        -

                        -

                        Job Description

                        -

                        -

                        What You’ll Be Doing

                        -

                        -

                        The Consultant, Business Analytics and Data Engineering, reporting to the Director, Cards and Deposits Data, Analytics and Decision Science and will be accountable for the day-to-day and strategic opportunities that align with the PBB Strategy. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will work on the delivery of data driven insights and solutions to evaluate client behaviors and to optimize business decisions related to product, campaign, pricing and other business areas.

                        -

                        -

                        At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                        -

                        -

                        How You’ll Succeed

                        -

                        -
                          -
                        • -Analytics & Reporting – Lead the delivery of fact-based dashboards and reporting tools to influence decisions and/or identify gaps. The expectation is to go well beyond the numbers and provide insightful product/business/customer/client/segment analysis. Contribute to the development and management of a reporting/analytical intake process. -
                        • -
                        • -Consultation – Participate as a thought partner and provide advice and recommendations that assist in the development and evolution of our business mandate and help our business make Better Decisions Faster -
                        • -
                        • -Data Exploration – What you need may not be always available. Explore the organization’s data that wasn’t utilized previously, and strategically plan out how each data element can be leveraged to derive more meaningful insights for the business. -
                        • -
                        • -Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights with a wide variety of audiences. -
                        • -
                        • -Strong Partner – Collaborate and communicate PSB Frontline analytics strategic priorities and act as a liaison with internal and external partners to gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition -
                        • -
                        -

                        -

                        Who You Are

                        -

                        -
                          -
                        • -Technical Skills. You can demonstrate data modeling skills in working with large datasets including both structured and unstructured data and related tools (e.g., SQL Developer, Python, SAS, etc.). You have proven expertise in designing and delivering the user friendly production report for the multiple users using various BI Platform. Strong proficiency in Alteryx and/or Tableau is a must.
                        • -
                        • -Analytical. You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                        • -
                        • -Detail Oriented. You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                        • -
                        • -Leadership. You lead by example and inspire your teammates to do their best. You can provide training and coaching to colleagues within the technical domain
                        • -
                        • -You put our clients and partners first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                        • -
                        • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                        • -
                        -

                        -

                        What you need to know

                        -
                          -
                        • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                        • -
                        • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                        • -
                        -

                        -

                        -

                        -

                        -

                        -

                        Job Location

                        Toronto-81 Bay, 25th Floor

                        Employment Type

                        Regular

                        -

                        Weekly Hours

                        37.5

                        Skills

                        -

                        Analytics Insights, IBM Cognos Business Intelligence, Microsoft Azure, Python, SAS BI, Structured Query Language (SQL), Tableau
                        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineering-and-Reporting_2220935,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-25T10:50:57.570Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/137169101-consultant-data-engineering-and-reporting-at-cibc,,expired,2022-07-14T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3f9b3c0c-ec72-49ef-9830-dc69b9b8f674,133397243,Vector Institute (Internal Opportunities Only),Machine Learning and AI - Instructor (Black & Indigenous Program),full,Anywhere,2022-06-23T16:23:52.462Z,"

                        Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before September 21, 2022. The course will run dependent on the number of participant registrations.

                        -

                        We are advertising for this role in advance of September 21, 2022, so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                        -

                        This posting is to recruit one (1) Instructor candidate.

                        -

                        Important: -Applications will be reviewed on a rolling basis as the goal is to hire as soon as possible.

                        -

                        STATEMENT OF WORK: Machine Learning and AI - Instructor

                        -

                        Machine Learning and AI Course Dates: October 5, 2022 – November 17, 2022

                        -

                        Location: This course will be delivered online via D2L Brightspace

                        -

                        Classes and Tutorials: Deliver seven 2h lectures developed in collaboration with TA (Development & Delivery)

                        -

                        TA: TBA

                        -

                        Overview

                        -

                        Vector has developed a Black and Indigenous Internship Program, which is intended to increase participation rates from under-represented populations. The Program will create a targeted pathway for Black and Indigenous post-secondary students studying in Canada to intern in applied ML intern roles at Vector as well as in research internships with Vector Faculty Members. The target audience is Black and Indigenous post-secondary students studying in STEM, as well as in adjacent programs such as business and life sciences in Canadian post-secondary institutions.

                        -

                        The Machine Learning and AI course will cover the main concepts in machine learning and provide an overview of many commonly used machine learning algorithms.

                        -

                        Learning Outcomes

                        -
                          -
                        • How machines learn
                        • -
                        • Machine learning types: supervised (regression and classification), unsupervised (clustering, dimension reduction), ensemble learning
                        • -
                        • Python packages for machine learning
                        • -
                        • Model selection, training, and evaluation
                        • -
                        • Linear and non-linear models
                        • -
                        • Machine learning generalization
                        • -
                        • Optimization techniques (gradient descent algorithms, loss functions)
                        • -
                        • Tackling underfitting and overfitting challenges (regularization)
                        • -
                        • Probabilistic viewpoint: maximum likelihood estimation, maximum A posteriori, Bayesian inference
                        • -
                        • Bias and variance trade-off
                        • -
                        • Ensemble learning methods (bagging and boosting)
                        • -
                        • Introduction to neural networks
                        • -
                        -

                        Tasks and Responsibilities

                        -
                          -
                        • Prepare and deliver lectures
                        • -
                        • Collaborate with TA to develop lecture and assignment content
                        • -
                        • Participate in course development meetings and engage with course development discussions on Slack
                        • -
                        • Curate recommended readings or supplementary materials to support the assignments
                        • -
                        • Assist course participants throughout the course
                        • -
                        -

                        Fees

                        -
                        • $4,500 -
                        -

                        Course Schedule

                        -

                        Lectures and tutorials are tentatively scheduled to run from October 5 to November 17, with lectures taking place Wednesdays from 3pm to 5pm EST and tutorials running Thursdays from 3pm to 5pm EST. All classes and tutorials will be online. A capstone project and presentation will follow the seven-week period.
                        -

                        -

                        Hours
                        -Lecture: 2h/ Wednesdays 3pm to 5pm
                        -Tutorials: 2h/Thursdays, 3pm to 5pm
                        -TA Office Hours: 1h/week TBA
                        -

                        -

                        Weekly Schedule

                        -
                          -
                            -
                          • Week 1: October 5 – October 11
                          • -
                          • Week 2: October 12 – October 18
                          • -
                          • Week 3: October 19 – October 25
                          • -
                          • Week 4: October 26 – November 1
                          • -
                          • Week 5: November 2 – November 8
                          • -
                          • Week 6: November 9 – October 15
                          • -
                          • Week 7: November 16 – November 22
                          • -
                          -

                          -

                          CAPSTONE PROJECT FINAL

                          -

                          Capstone assignment: November 23, 2022

                          -

                          Capstone presentations (panel review): November 30, 2022

                          -

                          Marks submitted & data captured - end of course.

                          -

                          Applications will be reviewed in the order received until filled. To apply, please submit your CV and a statement outlining your motivation and objectives via Vector Talent Hub.

                          ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-07-23T17:46:22.585Z,False,1,0,71,https://talenthub.vectorinstitute.ai/jobs/133397243-machine-learning-and-ai-instructor-black-indigenous-program-at-vector-institute-internal-opportunities-only,,expired,2022-06-23T16:23:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, -613f7bce-5619-4fa3-bd4b-a627d7a958b3,143610231,TD Bank Group,"Advisor, Enterprise Data and Analytics Talent Strategy",on_site,"Toronto, ON",2022-08-12T01:50:16.138Z,"
                          -

                          Company Overview

                          -
                          -

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          -

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                          -

                          The Advisor, Enterprise Data and Analytics Talent Strategy will be a key member of a high performing team of Data & Analytics professionals. The team’s mandate is to develop and implement best-in-class talent strategies, proposals, solutions and help position TD as a Data & Analytics Talent Powerhouse. The individual may lead and/or support enterprise level projects/initiatives and provide support to data and analytics teams across the enterprise. We are looking for self-motivated individuals who want to work in a fast paced, high visibility and high impact team.

                          -
                          -

                          -

                          Job Description

                          -
                            -
                          • Lead & maintain enterprise talent programs and initiatives as part of the Enterprise Data and Analytics group aligned to accelerating talent development and a data driven culture
                          • -
                          • Help make data and analytics a competitive advantage for TD – Enhance data and analytics brand across the Bank
                          • -
                          • Contribute to the development of analytics learning & development programs such as mentorship programs, employee onboarding, L&D programs.
                          • -
                          • Manage relationships with key internal and external partners
                          • -
                          • Identify and articulate key analytic talent needs and contribute to accelerating delivery
                          • -
                          • Conduct research and benchmarking studies, maturity assessments etc. as needed to support the evolution of the bank’s talent capabilities and identify emerging trends
                          • -
                          • Facilitate strategic planning workshops with leadership team
                          • -
                          • Connect with, and support the ongoing development of the broader talent data and analytics strategy teams across the enterprise
                          • -
                          • Develop dashboards, reporting, and metrics for talent programs
                          • -
                          • Help make data and analytics a competitive advantage for TD – Enhance data and analytics brand across the Bank and externally though partnerships and engagements with the academic world
                          • -
                          • Own or contribute in the development of strategy related assets including standard measures, frameworks, playbooks, workshops & development programs
                          • -
                          -

                          -

                          Requirements

                          -
                          -
                          -
                            -
                          • Undergraduate degree or technical certificate
                          • -
                          • 5+ years of relevant experience in data, analytics and/or consulting, ideally in an influencing or advisory capacity
                          • -
                          • Passion for analytics and a customer-driven mindset
                          • -
                          • Passion for talent, colleague experience and empowering employees to grow personally and professionally
                          • -
                          • Demonstrated experience in promoting and increasing analytics adoption within an organization
                          • -
                          • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                          • -
                          • Excellent interpersonal and communication skills, both written and verbal
                          • -
                          • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                          • -
                          • Ability to leverage data and analytics to explain business value of talent initiatives
                          • -
                          • Ability to work with ambiguity to breakdown and solve business problems
                          • -
                          • Experience with Tableau is preferred
                          • -
                          • Industry knowledge, including current talent trends, big data trends, tools and landscape
                          • -
                          • Ability to take ownership and work independently
                          • -
                          -
                          -

                          -

                          Additional Information

                          -
                            -
                          • Undergraduate degree or technical certificate
                          • -
                          • 5+ years of relevant experience in data, analytics and/or consulting, ideally in an influencing or advisory capacity
                          • -
                          • Passion for analytics and a customer-driven mindset
                          • -
                          • Passion for talent, colleague experience and empowering employees to grow personally and professionally
                          • -
                          • Demonstrated experience in promoting and increasing analytics adoption within an organization
                          • -
                          • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                          • -
                          • Excellent interpersonal and communication skills, both written and verbal
                          • -
                          • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                          • -
                          • Ability to leverage data and analytics to explain business value of talent initiatives
                          • -
                          • Ability to work with ambiguity to breakdown and solve business problems
                          • -
                          • Experience with Tableau is preferred
                          • -
                          • Industry knowledge, including current talent trends, big data trends, tools and landscape
                          • -
                          • Ability to take ownership and work independently
                          • -
                          -

                          -

                          Hours

                          -
                          37.5
                          -

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -
                          ",,https://jobs.td.com/en-CA/jobs/16328601/advisor-enterprise-data-and-analytics-talent-strategy-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-16T01:55:19.811Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/143610231-advisor-enterprise-data-and-analytics-talent-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16328601/advisor-enterprise-data-and-analytics-talent-strategy-toronto-ca/,expired,2022-08-12T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6fcaa578-4437-40f2-af75-08219b1e15c4,141480660,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2022-08-03T18:24:07.312Z,"

                          Req Id: 382777 

                           

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                           

                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                           

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                           

                           

                          Bell’s Business Intelligence team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing & contact strategy opportunities and provide insight to drive optimal business decisions.

                          This is a terrific opportunity to help transform the organization, and achieve one of the most significant strategic mandates within Bell, leveraging machine learning and AI algorithms to drive business decisions. As part of this team, you will have opportunities to build your analytics skills, shape the next generation of BI and drive important business decisions working with new, cutting-edge technologies.

                          What our Team members have to say:

                          “We work in a fast-paced environment, which allows us to learn about many unique parts of the business in short periods of time. I have the ability and freedom to continually leverage my ideas and research to help solve business problems.”
                          “To me, the best thing about working for Bell is the amazing people. I am surrounded by a very supportive team and on a daily basis I collaborate with highly talented individuals throughout the company to solve complex business problems.”
                          We are looking for a data scientist who is highly logical, passionate, and can communicate effectively to all levels within the organization.

                          Key responsibilities may include:

                            -
                          • Lead the development of machine learning products and models from inception to production
                          • -
                          • Explore new data sources to uncover new business opportunities at all levels of the business (strategic to operational)
                          • -
                          • Identify areas for ML/AI opportunities and demonstrate to internal clients how ML/AI can improve their business
                          • -
                          • Build and implement strategies for ML-driven projects
                          • -
                          • Work with partners within Customer Operations and across Bell to make data-driven business decisions
                          • -
                          • Work with and present to all management levels
                          • -
                          • -Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.
                          • -

                          Critical Qualifications/Competencies:

                          • Bachelor’s degree, or Masters in a discipline such as Mathematics, Statistics, Machine Learning, Business analytics/Business Intelligence, Computer Science or related area

                          Algorithms:

                            -
                          • Advanced knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                          • -
                          • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, Tensor Flow, SparkML, Scikit-Learn
                          • -
                          • Stay abreast of new technology and techniques in the ML/AI space
                          • -

                          Coding:

                            -
                          • Advanced Python development skills
                          • -
                          • Excellent code design (OOP, Algorithms, and Data Structures)
                          • -
                          • Experience with CI/CD pipelines
                          • -

                          Data:

                            -
                          • Proficiency in SQL
                          • -
                          • Understanding of Spark and MapReduce
                          • -
                          • -Quick learner with ability to think out of the box
                          • -

                          #Indeed #Tech #Technology #SQL #ML #AI #MachineLearning #ArtificalIntelligence #Keras #BI #BusinessIntelligence #DataScience #LI-Hybrid #LI-MS2 #SparkML #Scikit-Learn #Pytorch #Keras

                           

                          #EmployeeReferralProgram

                           

                          Adequate knowledge of French is required for positions in Quebec. 

                           

                          Additional Information:

                          Position Type: Management 
                          Job Status: 
                          Regular - Full Time 
                          Job Location:
                          Canada : Quebec : Verdun || Canada : Ontario : Toronto 
                          Flexible work profile:
                          Mobile
                          Application Deadline: 08/15/2022 

                           

                          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                           

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                           

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                           

                          Created: CanadaQC, Montreal

                           

                          Bell, one of Canada's Top 100 Employers.

                          ",,https://jobs.bell.ca/ca/en/job/BECACA382777EXTERNALENCA/Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-17T18:30:19.085Z,False,0,8,53,https://talenthub.vectorinstitute.ai/jobs/141480660-developer-data-science-at-bell-canada,BECACA382777EXTERNALENCA,expired,2022-08-03T18:24:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -05987d46-b41d-4e34-aed8-c315f4e8257c,143593889,Scotiabank,Data Analyst,on_site,Canada : Ontario : Toronto,2022-08-11T20:19:07.951Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 151215

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          The Team
                          Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                          -

                          -

                          The Role
                          As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                          -


                          Some of the key accountabilities include:

                          -

                          • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                          • Analyze data in both Financial Systems and Big Data environments
                          • Support senior team members through research assignments and proof of concepts
                          • Demonstrate a passion for problem solving and data presentation technologies
                          • Facilitate UAT testing for system migration and new initiatives
                          • Report development and support for internal customers; including executives analytical minded skillset
                          • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                          • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                          -

                          -

                          What You Will Bring to Succeed
                          • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                          • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                          • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                          • Analytical and Detail-oriented
                          • Report development and support for internal and external customers; including executives analytical minded skillset.

                          -

                          -

                          The Workplace
                          • We are technology partners who help the business transform how our employees around the world work
                          • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                          • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                          • We foster an environment of innovation and continuous learning
                          • We care about our people, allowing them to design how they work to deliver amazing results
                          • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                          -

                          -

                          Scotiabank
                          As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          -


                          Is this Role not the Exact fit?
                          Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                          -


                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-08-18T20:24:14.424Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/143593889-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c0138d41-7dde-40a8-af16-7d05df7d8a07,143494071,NVIDIA,Drive Ops Coordinator,on_site,"Ontario, Canada",2022-08-11T07:35:05.204Z,"
                          -

                          We are now looking for a Drive Ops Coordinator to join out Automotive team focusing on self-driving cars and data collection.

                          -

                          -

                          NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today.

                          -

                          -

                          What you’ll be doing:

                          -
                            -
                          • Operate Drive Ops check in/out process
                          • -
                          • Conduct SSD process
                          • -
                          • Monitor and supervise vehicle fleet using WebFleet platform
                          • -
                          • Respond to AV drive mission test links requests
                          • -
                          • Assist Drivers, QA, and SW staff with various vehicle operations tasks
                          • -
                          • Coordinate data collection and AV driver scheduling
                          • -
                          • Supervise project progress and work to address operational issues that arise
                          • -
                          • Participate in all vehicle operations meetings
                          • -
                          • Work to improve and update all Drive Ops processes
                          • -
                          • Work with multi-functional teams to continuously improve methodologies and efficiencies and drive efforts to resolution.
                          • -
                          • Coordinate vehicle service needs
                          • -
                          • Independently create and update plans that achieve project objectives
                          • -
                          • Interact with suppliers and vendors
                          • -
                          • Define tasks, drive assignments and manage the progress
                          • -
                          • Identify risks and develop/execute risk management plans
                          • -
                          • Regularly provide leadership team with project status reports
                          • -
                          • Assist in improving existing models, processes and help feedback to improve infrastructure
                          • -
                          • Identify/track key milestones, evaluate/obtain/manage resources
                          • -
                          • Independently create and update plans that achieve project objectives
                          • -
                          -

                          What we need to see:

                          -
                            -
                          • AA/Bachelor’s degree or 1 to 2 years related experience
                          • -
                          • Experience with navigation and fleet management platform
                          • -
                          • Experience with vehicle operations and/or vehicle dispatch
                          • -
                          • Experience with Auditing processes
                          • -
                          • Strong time management skills to include follow-up with key project members (Internal/External)
                          • -
                          • Strong communication skills to interact daily with a project team
                          • -
                          • Basic Computer Skills using Microsoft Office programs (Word, Excel and PowerPoint)
                          • -
                          • Quickly learns and achieves proficiency in new software applications as needed
                          • -
                          • 5+ years’ experience in a similar role, preferably within an AA/engineering/logistics/operation environment
                          • -
                          • Knowledge of project management techniques and tools
                          • -
                          • Strong organizational skills and the ability to interact effectively with people at all levels of NVIDIA
                          • -
                          • Very strong leadership, facilitation and problem-solving skills are required to be successful in this role
                          • -
                          • Experience in working with suppliers, vendors and/or customers
                          • -
                          • Capability to quickly learn, understand, communicate, and integrate technical concepts and issues
                          • -
                          • Ability to travel, as needed
                          • -
                          -

                          -

                          -

                          -

                          -
                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Drive-Ops-Coordinator_JR1952385-1,feed-importer@jobboard.io,,,,2022-08-18T07:40:19.719Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/143494071-drive-ops-coordinator-at-nvidia,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Masters Degree,New Posting, -f329445e-9733-4c32-a2df-3f3c09b2d8cd,144818265,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-08-18T01:50:32.993Z,"
                          -

                          Company Overview

                          -
                          -

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          -

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                          -

                          As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                          -

                          TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                          -
                          -

                          -

                          Job Description

                          -
                          -

                          Delivery

                          -
                            -
                          • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                          • -
                          • Build complex statistical models that learn from and scale to petabytes of data.
                          • -
                          • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                          • -
                          • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                          • -
                          • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                          • -
                          • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                          • -
                          -

                          Expertise & Leadership

                          -
                            -
                          • Analytical thought leadership and stay current on developments in data mining and the application of data science
                          • -
                          • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                          • -
                          • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                          • -
                          • Communication and Stakeholder Management
                          • -
                          • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                          • -
                          • Advanced communication, business acumen and stakeholder management competencies
                          • -
                          • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                          • -
                          • Exceptional collaborator in a high-interaction environment
                          • -
                          • Foresee needs from business partners to prescribe effective solutions
                          • -
                          • Leverage empirical evidence and facts to influence/support decision making
                          • -
                          • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                          • -
                          • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                          • -
                          -
                          -

                          -

                          Requirements

                          -
                          -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                          -
                            -
                          • Ability to translate business requirements into technical and analytical tasks
                          • -
                          • Demonstrated track record of leading major data science projects [or demonstrate ability]
                          • -
                          • Technical understanding and critical thinking to challenge status quo
                          • -
                          • Strong problem-solving skills, mathematical and data literacy
                          • -
                          • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                          • -
                          • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                          • -
                          • Demonstrated experience in data transformation and data manipulation.
                          • -
                          • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                          • -
                          • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                          • -
                          • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                          • -
                          • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                          • -
                          • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                          • -
                          • Experience with machine learning including supervised and unsupervised models.
                          • -
                          -
                          -

                          -

                          Additional Information

                          -
                          -#datascientist #LI-Hybrid

                          -

                          Locations:
                          Toronto
                          Montreal
                          Markham
                          London
                          Ottawa

                          -

                          * L7- L10

                          -
                          -

                          -

                          Hours

                          -
                          37.5
                          -

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -
                          ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-19T01:55:25.734Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/144818265-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-08-18T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f0bd3600-f131-4947-890c-1adc7f643f8b,138455684,CN,Expert Data Analysis and Governance,on_site,"Ontario, Canada",2022-07-21T07:35:06.331Z,"
                          -

                          -

                          At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                          -


                          Job Summary

                          -

                          The Expert Data Analysis and Governance is responsible for facilitating access and analysis of all employee-related data (e.g., workforce demographics, hiring, attrition). The role handles and governs large quantities of data from multiple data sources, including the ability to merge it and ensure its consistency. Moreover, the role encompasses the development and creation of visualization and analysis tools to be used by the Human Resources (HR) function and CN’s executive leaders, as well as the ability to perform complex analysis on an ad hoc basis. It involves seeking out and understanding new data sources, merging it with other sources and modelling in order to provide a consumable format for analysis.

                          -

                          Main Responsibilities

                          -
                            -
                          • Data Management
                          • -
                          • Find and interpret rich data sources
                          • -
                          • Handle large amounts of data despite hardware, software, and bandwidth constraints
                          • -
                          • Merge data sources and ensure consistency of datasets
                          • -
                          • Create visualizations to aid in understanding data and build mathematical models
                          • -
                          -

                          Analytical Support

                          -
                            -
                          • Provide analytical support by creating and sharing regular and ad hoc reports as required
                          • -
                          • Develop and optimize Tableau and Power BI reports and applications to deliver simplified analytics to support insight development
                          • -
                          -

                          Data Interpretation

                          -
                          • Work with partners in HR and other functions on the extraction, analysis and interpretation of relevant data points from different source systems (e.g., workforce, recruiting, training, etc.)
                          -

                          Data Optimization

                          -
                            -
                          • Query large datasets and link related factors to reveal performance, safety or cost-saving opportunities
                          • -
                          • Analyze data, spot trends, and bring change to the organization
                          • -
                          • Explore and examine data from multiple disparate sources
                          • -
                          -

                          Working Conditions

                          -

                          The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN’s flexible work policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                          -

                          Requirements

                          -

                          Experience

                          -

                          Relational Databases and Modeling

                          -
                            -
                          • Minimum 5 years of experience with relational databases and modeling techniques and coding (e.g., Structured Query Language (SQL) Server)
                          • -
                          • Experience developing dashboards and interactive analytical tools and visualizations
                          • -
                          -

                          Education/Certification/Designation

                          -
                            -
                          • Bachelor’s Degree in Business Administration, Computer Sciences, Software Engineering, Statistics or equivalent degree and experience
                          • -
                          • Demonstrates agility and drives change
                          • -
                          • Knows the business and stays current on industry needs
                          • -
                          • Communicates with impact
                          • -
                          • Collaborates with others and shares information
                          • -
                          • Demonstrates active listening
                          • -
                          • Solves problems to create value
                          • -
                          -

                          Technical Skills/Knowledge

                          -
                            -
                          • Expert-level skills and usage of Microsoft Office (Excel and Access), Tableau and Power BI
                          • -
                          • Expansive knowledge of HR metrics, data, and business intelligence strategies
                          • -
                          -

                          About CN

                          -

                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                          -

                          -

                          -


                          -

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          -
                          ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8812?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-20T20:41:56.413Z,False,0,6,37,https://talenthub.vectorinstitute.ai/jobs/138455684-expert-data-analysis-and-governance-at-cn,,expired,2022-07-21T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Associate,Bachelors Degree,New Posting, -7e69b111-5bc4-4714-ab55-e370c8315074,142721319,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2022-08-09T01:50:19.714Z,"
                          -

                          Company Overview

                          -
                          -

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          -

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          Department Overview

                          -

                          We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                          -

                          The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                          -

                          The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment

                          -
                          -

                          -

                          Job Description

                          -
                          -

                          About this Role

                          -

                          As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                          -

                          Job Description
                          This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                          -
                            -
                          • Anticipate and explain potential fraud risks associated with strategic initiatives across TD
                          • -
                          • Help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
                          • -
                          • Provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                          • -
                          • Identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                          • -
                          • Understand and actively managing the operational impacts of our fraud defense strategies
                          • -
                          -

                          The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.
                          Accountabilities:
                          Fraud Management

                          -
                            -
                          • Accountable for fraud loss targets and the customer experience
                          • -
                          • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                          • -
                          • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                          • -
                          • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCAS, Avant, Experian, Transunion), in alignment with the Change Management protocols
                          • -
                          • Supports case valuation and prioritization to optimize fraud management
                          • -
                          • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                          • -
                          • Provide ad-hoc analysis to support decision-making at the executive level
                          • -
                          • Design champion / challenger strategies that lead to ongoing learning and improvement
                          • -
                          • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                          • -
                          • Produce timely diagnostics to identify system, strategy and operational issues
                          • -
                          • Participates in defect analysis to identify and remediate coverage gaps
                          • -
                          -

                          Partner Support

                          -
                            -
                          • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                          • -
                          • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                          • -
                          • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                          • -
                          • Support the continuous improvement agenda for our operational partners
                          • -
                          • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                          • -
                          • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                          • -
                          -
                          -

                          -

                          Requirements

                          -
                          -Job Requirements

                          -
                            -
                          • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                          • -
                          • 2+ years’ experience in an analytical capacity
                          • -
                          • Experience using analytical software tools such as SAS, Python, SQL and Excel for data analysis and/or reporting
                          • -
                          • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                          • -
                          • Demonstrated analytical, modeling and problem-solving skills
                          • -
                          • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                          • -
                          • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                          • -
                          • Ability to take initiative and work independently under tight timelines
                          • -
                          • Ability to work collaboratively and build relationships
                          • -
                          • Ability to effectively manage multiple projects and priorities simultaneously
                          • -
                          • Motivated to constantly strive to find innovative ways to enhance capabilities
                          • -
                          -

                          Preferable

                          -
                            -
                          • Experience in fraud management is an asset
                          • -
                          • Knowledge of machine learning is an asset
                          • -
                          • Agile experience is an asset
                          • -
                          -
                          -

                          -

                          Additional Information

                          -
                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -

                          Hours

                          -
                          37.5
                          -

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -
                          ",,https://jobs.td.com/en-CA/jobs/14725874/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/142721319-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14725874/sr-business-insights-analyst-markham-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -747f20ff-5195-4de0-acba-6bf173f8f5a6,144294178,Sun Life Financial,Senior Security Engineer,on_site,"Ontario, Canada",2022-08-15T07:26:02.029Z,"
                          -

                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                          -

                          -

                          -

                          Job Description:

                          -

                          The Security Engineering team is looking for a Senior Information Security Engineer to join them. Working in an agile environment, you will have the exciting opportunity of managing security technologies that are currently deployed globally across Sun Life and help plan and deploy a diverse range of security technologies which monitor and protect sensitive data and systems from infiltration and cyber-attacks.

                          -

                          -

                          What you will do

                          -
                            -
                          • Lead security initiatives and enterprise level projects implementing security solutions and performing POC/POV for new technologies

                          • -
                          • Support and manage existing security technologies that are currently deployed globally across Sun Life.

                          • -
                          • Implement new security controls and capabilities into existing technologies and be responsible to deploy, support and maintain new security technologies that are deployed within Sun Life and owned and supported by the Security Engineering team.

                          • -
                          • Be part of a 24x7 on-call support team and be required to join major incident management calls to provide support and consultation for technologies supported by the Security Engineering team.

                          • -
                          -

                          -

                          What you will need to succeed

                          -
                            -
                          • An Information Technology University degree/college diploma in related discipline(s) or equivalent work experience
                          • -
                          • 3+ years of experience in information technology
                          • -
                          • 3+ years of experience in the information security field
                          • -
                          -
                            -
                          • Experience with end-point detection and response, intrusion detection, certificate management, email security and web content filtering technologies.
                          • -
                          • Experience with Security Information and Event Management platforms including log types.
                          • -
                          • Experience designing secure networks and endpoint systems
                          • -
                          • Experience planning, researching and developing security policies, standards and procedures.
                          • -
                          • Experience in a system administration role supporting multiple platforms and applications.
                          • -
                          • Experience with Windows and Linux based operating systems.
                          • -
                          • Experience in deploying enterprise level technology via managed projects.
                          • -
                          • Knowledge of networking technologies, firewalls, web application firewalls and intrusion prevention systems.
                          • -
                          • Knowledge of AWS cloud technologies.
                          • -
                          • Knowledge of disaster recovery, technologies and methods.
                          • -
                          • Strong communicator spoken and written with the ability to communicate network and endpoint security technical issues to peers and management.
                          • -
                          -

                          -

                          What’s in it for you?

                          -
                            -
                          • A flexible work schedule, so long it includes core working hours
                          • -
                          • Competitive salary
                          • -
                          • Flexible Benefits from the day you join to meet the needs of you and your family.
                          • -
                          • Wellness programs that support the three pillars of your health – mental, physical and financial.
                          • -
                          • Membership to a highly collaborative, supportive, and productive team
                          • -
                          -

                          -

                          #LI-Hybrid

                          -

                          -
                            -

                            -

                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                            -

                            -

                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                            -

                            -

                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                            -

                            -

                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                            -

                            -

                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                            -

                            -

                            Salary Range:

                            74,900/74 900 - 125,900/125 900

                            -

                            Job Category:

                            IT - Technology Services

                            -

                            Posting End Date:

                            26/08/2022
                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Information-Security-Engineer_JR00058085?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-29T07:31:03.266Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/144294178-senior-security-engineer-at-sun-life-financial,,expired,2022-08-15T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, diff --git a/jobExport_chunk2.csv b/jobExport_chunk2.csv index 75f0a22..f6e62fe 100644 --- a/jobExport_chunk2.csv +++ b/jobExport_chunk2.csv @@ -1,4 +1,1120 @@ token,id,company,title,remote,location,created_at,description,apply_email,apply_url,contact_email,company_url,transaction_price,revenue_share,expiration_date,featured,applicants_count,apply_link_click_count,views,url,reference,status,published_at,source_name,company_size,email_applications_or_application_click_through,job_industry,level_of_experience,minimum_degree_level,new_posting_or_repost,Type of Job Opportunity +6a05ddbf-3213-4aec-9e52-aa09f2a28432,129761862,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2022-06-05T07:35:03.381Z,"
                            +
                            +

                            Description

                            +
                            +

                            +

                            Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Inventory, Ordering and Fulfillment team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of our reporting and data analytics systems.

                            +

                            +

                            You’ll be part of a multidisciplinary team of data engineers and developers who are paving our journey for analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                            +

                            +

                            Our team and what we’ll accomplish together

                            +

                            +

                            As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Inventory, Ordering and Fulfillment team is at the helm of building world-class solutions by delivering applications and data analytics capabilities built upon unified scalable platforms, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                            +

                            +

                            As Senior Data Manager on our team, you will have the opportunity to design innovative data solutions and solve challenging problems, while making an impact. The possibilities are endless – at any given time, you could be collaborating to build a data warehouse from scratch, writing beautiful code, or working with our internal partner teams to provide sound data sets. It’s why we’re looking for a data superstar who is filled with ideas as well as the delivery-focused mindset to execute them! There will be tons of learning opportunities along the way, not to mention the ability to work with some of the best leaders and mentors in the industry.

                            +

                            +

                            You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                            +
                            +
                            +
                            +

                            What you’ll do

                            +
                            +

                            +
                              +
                            • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                            • +
                            • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                            • +
                            • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                            • +
                            • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                            • +
                            • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                            • +
                            • Implement automation and monitoring tools through a test-driven approach and mindset
                            • +
                            • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                            • +
                            +

                            +

                            +
                            +
                            +
                            +

                            Qualifications

                            +
                            +

                            +

                            +

                            What you bring

                            +

                            +

                            You are the missing piece of the puzzle with these skills

                            +

                            +
                              +
                            • An expert understanding of business intelligence, data warehouses architectures and ETL processes
                            • +
                            • Advanced knowledge in CloudSQL, BigQuery, NiFi and Kafka, as well as other data pipeline components
                            • +
                            • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                            • +
                            • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                            • +
                            • Experience with Python and software engineering best practices
                            • +
                            • Experience with data pipeline and workflow management tools such as Airflow
                            • +
                            • 3+ years of progressive and relevant work experience
                            • +
                            +

                            +

                            Great-to-haves

                            +

                            +
                              +
                            • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                            • +
                            • Machine learning and data science knowledge
                            • +
                            • CI/CD experience
                            • +
                            +

                            +

                            +
                            +
                            +
                            ",,https://careers.telus.com/job/Toronto-Data-Engineer-ON/559103217/,feed-importer@jobboard.io,,,,2022-06-20T07:40:08.624Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/129761862-senior-data-engineer-at-telus,,expired,2022-06-05T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +0bd44a9a-cf8c-4d1b-a47f-d799b960d3a3,130552156,TD Bank Group,Business Insights Analytics,on_site,"Toronto, ON",2022-06-09T21:06:23.701Z,"
                            +

                            Company Overview

                            +
                            +

                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                            +

                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                            +
                            +

                            +

                            Department Overview

                            +
                            +

                            TD Data Analytics & Reporting (DAR) Practice

                            +

                            +

                            What does TD DAR stand for?

                            +

                            As part of the TD Enterprise Data & Analytics team, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                            +

                            +

                            TD DAR provides analytical thought leadership and strategic advice to enable our partners to make data-driven decisions. We support the firm’s strategic objective to leverage data and advanced analytical techniques to solve for complex business problems.

                            +
                            +

                            +

                            Job Description

                            +
                            +

                            About this Role

                            +

                            As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights, and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                            +

                            +

                            In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering, and educating your peers to collaborate and bring TD into the future of banking.

                            +

                            +

                            +

                            +

                            As a Business Insights Analyst, you will:

                            +
                              +
                            • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives

                            • +
                            • Develop analysis to illustrate business trends and identify areas of business opportunities

                            • +
                            • Produce insights and recommend business actions to align with strategy and/or solve business problems

                            • +
                            • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners

                            • +
                            +
                              +
                            • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships

                            • +
                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain

                            • +
                            • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise

                            • +
                            • Execute on data requests accurately and within a timely manner and provide day-to-day support and delivery of analytics

                            • +
                            • Work independently as the senior analyst/subject matter expert and may coach and educate others

                            • +
                            +
                              +
                            • Considered an authority within a given area

                            • +
                            • Oversee and/or independently perform tasks from end to end

                            • +
                            • Build understanding of cloud infrastructure and advanced analytics capabilities

                            • +
                            +

                            +

                            Additional responsibility for L10 and L11 hiring

                            +
                              +
                            • Act as a lead for the project team in providing guidance on both technical matters as well as the business context of the analytical problems. Work autonomously as well as acting as a lead within a specialized business management function and provide work direction to others

                            • +
                            • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations

                            • +
                            • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value

                            • +
                            • Formulate relevant and significant data analysis through comprehensive data engineering and profiling tools

                            • +
                            • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help effective risk management in the business

                            • +
                            +
                            • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity.

                            +
                            +

                            +

                            Requirements

                            +
                            +

                            What can you bring to TD?

                            +

                            Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                            +
                              +
                            • Strong ownership mentality, proactive attitude, and ability to get things done

                            • +
                            • Work collaboratively with business leaders and technical experts to conceptually understand business problems to inform analyses

                            • +
                            • Exercise critical thinking and judgement to determine the appropriate analytical solution (e.g. segmentation, Markov Chain analyses, probabilistic forecasting, decision trees, etc.) and/or identify actionable opportunities to improve Enterprise & Client outcomes

                            • +
                            • Ability to work with large and complex data sets, fluency in SQL

                            • +
                            +
                              +
                            • Strong oral & written communication skills; ability to distill the most salient results of an analyses and convey insights and implications to business leaders

                            • +
                            • Hands-on experience with advanced dashboarding and visualization (e.g., Tableau), an asset

                            • +
                            • Working knowledge of Python or R

                            • +
                            • The right person will have strong business sense and will demonstrate critical thinking and structured problem-solving skills

                            • +
                            • Strong verbal and written communications skills are a must

                            • +
                            +
                              +
                            • Being detail oriented with excellent analytical, quantitative, and investigative skills

                            • +
                            • Ability to multi-task and work independently in a fast-paced, dynamic environment

                            • +
                            • Comfortable in a team environment with changing priorities

                            • +
                            • Highly motivated with ability to work independently, and drive results; a self-starter

                            • +
                            • Understanding/Experience of Salesforce is an advantage

                            • +
                            +
                              +
                            • Hands-on experience with statistical modeling and machine learning including NLP, an asset

                            • +
                            • Data visualization and storytelling in Tableau.

                            • +
                            • Experience in Financial Services / Wealth Management business is an advantage

                            • +
                            • Undergraduate degree or technical certificate

                            • +
                            • Five (5) or more years relevant experience

                            • +
                            +
                            • Advanced degrees in MMA/MBAn and/or STEM, an asset

                            +

                            +

                            Additional requirements for L10 and L11 hiring

                            +
                              +
                            • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)

                            • +
                            • Experience with creating complex Tableau dashboards considered an asset

                            • +
                            +
                            • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

                            +
                            +

                            +

                            Additional Information

                            +
                            Note: We are hiring for multiple roles and seniority levels.
                            #businessIntelligence
                            #LI-Hybrid

                            +

                            +
                            +

                            +

                            Hours

                            +
                            37.5
                            +

                            +

                            Inclusiveness

                            +

                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                            +

                            +
                            ",,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/130552156-business-insights-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,expired,2022-06-09T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +1d4dd3cd-157c-4904-a9b3-31534d0a747d,132006551,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-16T21:06:05.058Z,"
                            +

                            Company Overview

                            +
                            +

                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                            +

                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                            +
                            +

                            +

                            Department Overview

                            +
                            +

                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                            +

                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                            +
                            +

                            +

                            Job Description

                            +
                            +

                            +

                            About this Role

                            +

                            As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                            +

                            In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                            +

                            +

                            As a Senior Business Insights Analyst, you will:

                            +
                              +
                            • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                            • +
                            • Develop analysis to illustrate business trends and identify areas of business opportunities
                            • +
                            • Produce insights and recommend business actions to align with strategy and/or solve business problems
                            • +
                            • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                            • +
                            • Execute on data requests accurately and within a timely manner
                            • +
                            • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                            • +
                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                            • +
                            • Provides day-to-day support and delivery of analytics
                            • +
                            • Work independently as the senior analyst/subject matter expert and may coach and educate others
                            • +
                            • Considered an authority within a given area
                            • +
                            • Oversee and/or independently perform tasks from end to end
                            • +
                            +
                            +

                            +

                            Requirements

                            +
                            +What can you bring to TD?

                            +

                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                            +
                              +
                            • Undergraduate degree or technical certificate
                            • +
                            • Five (5) or more years relevant experience
                            • +
                            • Hands on experience in Python/PySpark, Tableau, and SQL
                            • +
                            • Experience in modeling (ML algorithms) is desirable
                            • +
                            • Management consulting and/or MBA background is preferable
                            • +
                            +
                            +

                            +

                            Hours

                            +
                            37.5
                            +

                            +

                            Inclusiveness

                            +

                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                            +

                            +
                            ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132006551-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7f81ad33-fead-473a-aec1-0b2f8cbdc339,131989914,UOIT,"Researcher, Postdoc, MASc/PhD student",on_site,"Oshawa, ON, Canada",2022-06-16T13:55:56.446Z,"

                            Design knowledgebase with user interface to manage operation and maintenance procedures for industrial facility with learning capabilities from input documents, voice, images, videos, and data files and automatically update knowledge structure. Learn from human experience and add to the knowledge structure. Develop automated synthesis for input text from documents, voice, images, and videos, and use learning techniques to update knowledge structure. Develop reasoning techniques to answer questions and interact with users. Validate question and answer accuracy to reach acceptable confidence level in view of user requirements. Ability to read multiple input files and sources with reference in the knowledge base to different sources and versions of the reference source to link with the answers to user questions and learning from human experience.

                            +

                            Develop business models for main activities using IDEF0, with defining input, output data, available controls, and systems/tools to implement within the business organization. Install the system on apps. Develop human models to adopt with the human experience learning and reasoning models. Develop enhanced user interfaces and automated reporting with execution scenarios.

                            ",hossam.gaber@ontariotechu.ca,,hossam.gaber@ontariotechu.ca,http://faculty.uoit.ca/gaber/,,,2022-07-16T16:37:00.000Z,False,2,0,99,https://talenthub.vectorinstitute.ai/jobs/131989914-researcher-postdoc-masc-phd-student-at-uoit,,expired,2022-06-16T13:55:00.000Z,website,Enterprise (500+),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, +a82454f2-c76b-4237-87d4-1bde81f27cb8,131917545,Thales,Cyber Defence Specialist,on_site,"Ontario, Canada",2022-06-16T07:35:03.693Z,"
                            Location: Remote Canada, Canada

                            +

                            Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s\'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l\'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

                            +

                            +

                            +

                            In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow\'s possible.

                            +

                            +

                            +

                            +

                            Position Summary

                            +

                            The Cyber Defense Specialist is responsible for the prevention of Cybersecurity incidents by real-time monitoring, detection, and analysis of potential intrusions. This includes using troubleshooting tools to analyze and respond to cyber threats, writing scripts to aid in quick analysis and response, and responding to security events. The position operates and tunes security tools, provides requirements for new security capabilities and creates use cases for monitoring. In addition, the position creates and follows up on incident reports, creates daily, weekly and monthly reporting metrics and manages vendor relationships as needed.

                            +

                            +

                            The Cybersecurity Operations Centre (CSOC) team will rely on your contribution to perform an in-depth analysis of evidence, identify the malicious operations and evaluate the real impact in order to solve in a quick and efficient manner. This is a key role when it comes to onboarding new customers, maintaining the CSOC’s infrastructure and continuous improvement.

                            +

                            +

                            Key Responsibilities

                            +

                            The security specialist must have an in-depth knowledge, skills and work experience in a Security Operation Centre (SOC), Cloud infrastructure and security, SIEM, EDR, log and network analysis, Network security (Firewall, WAF, IDS/IPS), Infrastructure are vital for this role.

                            +
                              +
                            • Must be analytical with detail-oriented analysis and great documentation skills.
                            • +
                            • Must be capable using various SIEM vendors, SOAR and Cybersecurity monitoring technologies.
                            • +
                            • Carry out first responder actions, triaging and containing breaches.
                            • +
                            • Must be capable of advance analysis in respond to security incidents. Securely collect artifacts, analyze for malicious behavior and carry out analysis to determine the root cause of events.
                            • +
                            • Lead threat-hunting activities, looking for anomalies. Ingest, analyze and contextualize data and turn that into intelligence for threat assessment and risk management.
                            • +
                            • Proficient knowledge in interpreting and constructing queries, Malware obfuscated codes and network packets.
                            • +
                            • Reverse engineer malware and malicious code to determine the risk and impact across differing platforms, from enterprise to field equipment, and then feed that information back into the architecture for security enhancement. +
                            • +
                            • Document incidents from initial detection through final resolution.
                            • +
                            • Provide advice on configuration of network security devices for service and security enhancement.
                            • +
                            • Point of escalation for other CSOC analysts in support of cybersecurity investigations. Provide guidance and oversight on incident resolution and containment techniques.
                            • +
                            • Develops metrics and reports on intelligence and incidents for management.
                            • +
                            • Contribute to the creation, update and distribution of incident response best practices to include response capabilities and recommendations to senior leadership when dealing with incidents that affect the business.
                            • +
                            • Ensuring support tickets are up to date with the most current data. Provide proper escalations and hand overs to management and support staff.
                            • +
                            • Communicate effectively (team spirit) with customers, colleagues, and management.
                            • +
                            • Proficient in designing, implementing and maintaining SIEM platform, log management systems, and correlation engine.
                            • +
                            • Proficient in vulnerability analysis, incident management, management of SIEM, Firewall, WAF, IDS/IPS, Data Loss Prevention (DLP), and threat intelligence platform.
                            • +
                            • Must be able to continuously improve and tune SIEM, SOAR use cases and assist in maintaining the CSOC platform.
                            • +
                            • Proficient in diverse system infrastructure (Windows, *nix).
                            • +
                            • Expertise in integrating, and maintaining applications Apache (Kafka, Storm, Spark), Ansible, and ELK is a plus.
                            • +
                            • Must have expertise supporting one or various Cloud infrastructure (Azure, AWS, GCP or IBM Cloud)
                            • +
                            • Excellent in creating reports, presentations, architecture, workflow diagrams, and documentations.
                            • +
                            • Up-to-date with the latest Cybersecurity trends, news and threat landscapes, IoT, Big Data, Cloud Security, and Digital Transformation.
                            • +
                            • Support customer onboarding projects to ensure a successful transition to CSOC for security monitoring services
                            • +
                            +

                            +

                            Key Requirements

                            +
                              +
                            • Bachelor degree in engineering, computer science, cybersecurity or related IT fields or job experience equivalent with a minimum of five (5) years of experience
                            • +
                            • Candidate must have a strong background in System/Network Architecture, and Cybersecurity consulting. Experience in building and assessing a secure infrastructure, Security Operation Centre, and Cloud infrastructure.
                            • +
                            • Currently holding one or more Cybersecurity industry recognized certifications: (ISACA, ISC2, GIAC SANS, CompTIA, Offensive-Security)
                            • +
                            • Vendor specific training and certifications: IBM QRadar, Splunk, PaloAlto, Demisto, FireEye, Forescout, Cisco, Microsoft, Amazon (AWS)
                            • +
                            • Over 3 years of related experience on a Computer Incident Response Team (CIRT), Computer Emergency Response Team (CERT), Computer Security Incident Response Center (CSIRC) or a Security Operations Center (SOC)
                            • +
                            • Knowledgeable with NIST Cybersecurity Framework (CSF), MITRE ATT&CK and d3fend
                            • +
                            • Experience in building SOC processes, Playbooks, Correlation rules, and Incident report.
                            • +
                            • Experienced in Cloud infrastructure and Cloud security monitoring is a plus.
                            • +
                            +

                            +

                            Key Qualifications

                            +
                              +
                            • Experience working in a SOC environment (Internal or MSSP)
                            • +
                            • Experience monitoring enterprise environment. Operation Technology (OT) or ICS, Aerospace environment is a plus.
                            • +
                            • Knowledge of numerous of operating systems, from the latest to legacy Windows, UNIX. Embedded OS, platforms is a plus.
                            • +
                            • Strong understanding of security incident management, malware management and vulnerability management processes.
                            • +
                            • Security monitoring experience with one or more SIEM technologies – IBM QRadar, Splunk, Microsoft Sentinel, LogRhythm, intrusion detection and prevention technologies, SecurityOnion, Suricata, Beats, Sysmon, Syslog, and ELK
                            • +
                            • Experience building, integrating, and maintaining SOAR platform: xSOAR, IBM Resilient, TheHive and Cortex
                            • +
                            • Knowledgeable of networking: TCP/IP, WAN, LAN, VLAN, MPLS, VPN, firewalls, switches, proxy
                            • +
                            • Knowledgeable of system infrastructure: Unix/Linux OS, LDAP, DNS, DHCP, SMTP, NTP, associated anti-virus/EDR,
                            • +
                            • Willingness to keep skills up to date, supported by training and mentoring.
                            • +
                            • Strong written communication skills and presentation skills.
                            • +
                            • Self-starter, work independently and adjust to changing priorities, critical and strategic thinker, negotiator and consensus builder. ​
                            • +
                            +

                            +

                            Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                            +

                            +

                            Thales est un employeur offrant l’égalité des chances qui valorise la diversité et l’inclusion sur le lieu de travail. Thales s’engage à mettre en place des mesures d’adaptation tout au long du processus de recrutement. Les candidats sélectionnés pour une entrevue et ayant besoin de mesures d’adaptation sont priés de le faire savoir lors de l’invitation à l’entrevue; notre équipe travaillera volontiers avec chaque candidat pour répondre à ses besoins particuliers. Tous les renseignements relatifs aux mesures d’adaptation seront traités d’une manière confidentielle et utilisés uniquement dans le but d’offrir une expérience candidat adaptée.

                            +

                            Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
                            ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Remote-Canada/Cyber-Defence-Specialist_R0171228-1,feed-importer@jobboard.io,,,,2022-07-16T13:33:07.281Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/131917545-cyber-defence-specialist-at-thales,,expired,2022-06-16T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, +7a33c689-6f7c-45ae-bc76-cc4969310b8a,132128463,Scotiabank,"Manager, Analytics",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:04.958Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 154810

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Purpose of Job:

                            +

                            +

                            The Manager, Analytics is a key contributer to the success of the Policy Adherence & Effectiveness (PAE) team of Global Risk Management (GRM).

                            +

                            +

                            The Manager, Analytics is required to have a high degree of analytical and technical knowledge and experience, combined with a strong understanding of retail and small businses credit risk policies/processes/lifecyle for Canada, Caribbean and/or Central America (C&CA). Technical knowledge and experience of SAS, Proc SQL with SAS, data repositories (for retail & small business portfolios in Canada and C&CA), and Microsoft Office products, especially Excel is required. Experience and knowledge of the various adjudication and document retention platforms used in Canada & C&CA is also an asset.

                            +

                            +

                            The Manager, Analytics is responsible for the acquisition, organization and reporting of retail credit risk data to support the credit review process of loans funded in Canada and C&CA, for both the retail and small business portfolios in the following ways:

                            +

                            +
                            • Collection of account and application level data from multiple business lines and is expected to have knowledge and experience with writing SQL in order to fulfill this;
                            • Assisting with updating the Risk Coverage Matrix;
                            • Creation and maintaince of dashboards used for analysis and monitoring;
                            • Performing data analysis reviews to identify potential risk trends.
                            • +
                            +

                            +

                            They will also work with the Senior Manager, Reporting & Process Design in developing a strategy and framework for managing and tracking the recommendations made via the credit reviews, identifying data integrity issues with findings discussed with management, and will assist in the creation and implementation of effective reporting systems.

                            +

                            +

                            In fulfilling the role, the Manager will interact closely with GRM, the various business lines in Canada and C&CA, technical development teams, data analytics teams, systems, operations, Audit, Bank regulators, and any other stakeholders as deemed necessary for accurate and meaningful reporting.

                            +

                            +

                            Job Responsibilities:

                            +

                            +
                            1. Assist with the generation and continued improvement of the regular reporting on credit originations, account management and collections strategies for all Retail and Small Business portfolios in Canada and C&CA;
                            2. +
                            +

                            +
                            1. Aid in the design, development, implementation, automation and maintenance of credit risk reports using various platforms and systems (e.g. SAS, Excel, Access, VBA, SQL Server;
                            2. +
                            +

                            +
                            1. Perform analysis of the credit portfolios relevant account and application level data results to identify data integrity issues, potential credit and/or operational risk trends, and policy and regulatory breaches. They should also stay up to date in advances in risk and performance analytics and apply those developments to the extent appropriate;
                            2. +
                            +

                            +
                            1. Investigate the credit issues and increased areas of risk identified in the analysis to determine the significance, root cause, and provide effective recommendations to the relevant business lines on how to resolve the noted issue(s);
                            2. +
                            +

                            +
                            1. Validate and review data report results to ensure accuracy, this will require to incumbent to stay abreast of upcoming changes to the data, tables and sources as well as credit policies, strategies and processes;
                            2. +
                            +

                            +
                            1. Ensure reporting development, production, and control processes are consistent with Bank's standard end user computer policies. Ensure reporting processes and definitions are adequately documented and periodically reviewed and updated, as required;
                            2. +
                            +

                            +
                            1. Continuously look for ways to improve/upgrade the current analytical data summary tools and reporting and then implement them;
                            2. +
                            +

                            +
                            1. Other data and analysis related duties and assignments as required.
                            2. +
                            +

                            +

                            Job Requirements:

                            +

                            +
                            • A University degree in Business, Statistics or in an Information Technology related discipline is required.
                            • SAS Certification
                            • +
                            +

                            ​​​​​​​

                            +

                            A minimum of three or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.

                            +

                            +

                            The incumbent must have experience and knowledge of complex multi-dimensional computer design, programming, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:

                            +

                            +
                            • SAS, Proc SQL with SAS, Python is a plus
                            • Office applications i.e. VBA, MS Excel, Macros, other MS Office products;
                            • Database applications i.e. SQL server is a plus
                            • Visualization Tools i.e. Tableau and PowerBI is a plus
                            • Working with large amounts of data from a variety of different sources, relational databases;
                            • Demonstrate innovation by devising novel solutions that will streamlines processes and improve effectiveness;
                            • Have a strong sense of curiosity and is driven to seek a comprehensive understanding of a project and all related processes and policies;
                            • Ability to think outside the box, and in a strategic manner in order to connect processes, policies, systems, and technical platforms as well as assess their application as translated into data;
                            • Experience effectively working in a global matrix team, across a range of functions, seniority and geography;
                            • Highly motivated, Results focused and organized individual with strong communication and interpersonal skills, knowledge of project and process management disciplines and a positive 'can do' attitude;
                            • Strong time management skills, ability to multi-task, while being results oriented and team focused;
                            • A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
                            • +
                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/560623617/,feed-importer@jobboard.io,,,,2022-07-18T20:35:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/132128463-manager-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/560623617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +35da1a97-016e-4c67-8916-a0d9156b2866,117534158,Borealis AI,Machine Learning Researcher - Causality,on_site,"Ontario, Canada",2022-03-31T21:45:03.120Z,"
                            +
                            +

                            What\'s the opportunity?

                            +

                            As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                            +

                            +

                            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                            +

                            Your responsibilities include:

                            +
                              +
                            • Developing novel AI solutions that facilitate impactful products;
                            • +
                            • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                            • +
                            • Working with the development team to transfer research work into production;
                            • +
                            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                            • +
                            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                            • +
                            +

                            You’re our ideal candidate if you have:

                            +
                              +
                            • Experience in researching or applying causal inference;
                            • +
                            • A passion for solving open problems using data and algorithms;
                            • +
                            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                            • +
                            • Ability to formulate and drive a research project independently without close supervision;
                            • +
                            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                            • +
                            +

                            What’s in it for you?

                            +
                              +
                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                            • +
                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                            • +
                            • Leaders who support your development through coaching and managing opportunities;
                            • +
                            • Ability to make a difference and lasting impact from a local-to-global scale.
                            • +
                            +

                            About Borealis AI

                            +

                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                            +

                            Inclusion and Equal Opportunity Employment

                            +

                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                            +
                            +
                            +
                            +
                            +
                            +
                            +
                            +

                            ",,https://www.borealisai.com/en/careers/employment/5689077002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,47,https://talenthub.vectorinstitute.ai/jobs/117534158-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-03-31T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, +c3ac78a0-29e1-4e85-88ee-1213444ebc49,137045748,Borealis AI,Senior Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-07-13T21:46:02.572Z,"
                            Available Locations
                            Montreal

                            What\'s the opportunity?

                            +

                            We’re looking for a Senior Engineering Manager to lead our Montreal engineering team, working at the forefront of machine learning technology and working on extremely challenging problems.

                            +

                            +

                            As a Senior Machine Learning Engineering Lead, you will manage a team of managers and engineers involved in multiple ML projects. You will support those projects through the entire lifecycle—from research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work along other senior managers in engineering and across Borealis AI to help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

                            +

                            Your responsibilities include:

                            +
                              +
                            • Provide strategic direction, leadership and management to a team of managers and engineers involved in multiple ML projects
                            • +
                            • Provide functional management to multiple ML projects
                            • +
                            • Establish high standards and share technical knowledge in performance, scalability, system architecture, and engineering best practices;
                            • +
                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                            • +
                            • Grow and develop the team, helping each team member advance their career development.
                            • +
                            • Work with Borealis senior leadership to achieve the Borealis mission and strategy
                            • +
                            • Drive cross-team cohesion and help to build the culture of the Montreal office
                            • +
                            +

                            You\'re our ideal candidate if you:

                            +
                              +
                            • Have 12+ years of experience delivering software projects to production;
                            • +
                            • Have 7+ years experience managing engineering teams;
                            • +
                            • Experience working collaboratively with business, product and other technical teams;
                            • +
                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                            • +
                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                            • +
                            • Experience working in an agile environment, including managing team members across multiple different projects and/or products
                            • +
                            • Experience managing hybrid teams; promote an excellent employee experience regardless of where employees are
                            • +
                            • Have a background in machine learning or a related field;
                            • +
                            • Experience with financial services and enterprise software.
                            • +
                            +

                            What\'s in it for you?

                            +
                              +
                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                            • +
                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                            • +
                            • Leaders who support your development through coaching and managing opportunities;
                            • +
                            • Ability to make a difference and lasting impact from a local-to-global scale.
                            • +
                            +

                            About Borealis AI

                            +

                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                            +

                            Inclusion and Equal Opportunity Employment

                            +

                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                            +

                            +

                            +

                            ",,https://www.borealisai.com/en/careers/employment/6039893002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/137045748-senior-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-07-13T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +d7fee23d-369b-43a8-b9da-77f93e74af48,133415875,Layer 6,Machine Learning Product Engineer,on_site,"Ontario, Canada",2022-06-23T20:40:14.443Z,"

                            Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                            +

                            Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                            +

                            Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                            +

                            +

                            Job Description:

                            +

                            Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                            +

                            Customer Accountabilities:

                            +
                              +
                            • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                            • +
                            • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                            • +
                            • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                            • +
                            • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                            • +
                            • Act as the expert or lead innovator and agent of change for the programs and services under management
                            • +
                            • Work with other teams to implement best practices for engineering and management
                            • +
                            • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                            • +
                            • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                            • +
                            • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                            • +
                            +

                            Shareholder Accountabilities:

                            +
                              +
                            • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                            • +
                            • Monitor and control costs within own work
                            • +
                            • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                            • +
                            • May develop and/or contribute to negotiations of third party contracts/agreements
                            • +
                            • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                            • +
                            • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                            • +
                            • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                            • +
                            • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                            • +
                            • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                            • +
                            • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                            • +
                            • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                            • +
                            • Maintain the model in production and ensure the data/model related knowledge continuation within L6
                            • +
                            +

                            +

                            Job Requirements:

                            +

                            Employee/Team Accountabilities:

                            +
                              +
                            • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
                            • +
                            • Prioritize and manage own workload in order to deliver quality results and meet timelines
                            • +
                            • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                            • +
                            • Participate in knowledge transfer with senior management, the team, other technical areas and business units
                            • +
                            • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                            • +
                            • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                            • +
                            +

                            Breadth and Depth:

                            +
                              +
                            • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
                            • +
                            • Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
                            • +
                            • Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
                            • +
                            • Acts as a key contributor in a complex and critical environment
                            • +
                            • May provide leadership to teams or projects; shares expertise
                            • +
                            • Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
                            • +
                            • Generally reports to a Senior Manager or above
                            • +
                            +

                            Experience and/or Education:

                            +
                              +
                            • University or post-graduate degree
                            • +
                            • Strong academic background (e.g., computer science, engineering)
                            • +
                            • 7 + years relevant experience
                            • +
                            +

                            +

                            Additional Information:

                            +

                            Required Technical Skills

                            +
                              +
                            • BSc+ in Computer Science, Math, Physics, or similar
                            • +
                            • 2+ years of extensive programming experience, at least 1 year in building production data systems
                            • +
                            • 1+ year experience of building machine learning production system
                            • +
                            • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                            • +
                            • Good knowledge of Machine Learning and Deep Learning
                            • +
                            • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                            • +
                            • Strong experience with Scala and Java 8
                            • +
                            +

                            Nice to have Skills

                            +
                              +
                            • C++, Python experience
                            • +
                            • Experience in systems/infrastructure projects on AWS and Azure
                            • +
                            +

                            Benefits

                            +
                              +
                            • Entrepreneurial and inclusive culture
                            • +
                            • Excellent health coverage and pension plan
                            • +
                            • Four weeks paid vacation
                            • +
                            • Catered lunches twice a week over machine learning talks
                            • +
                            ",careers@layer6.ai,,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-07-23T20:40:16.698Z,False,0,0,26,https://talenthub.vectorinstitute.ai/jobs/133415875-machine-learning-product-engineer-at-layer-6,,expired,2022-06-23T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +140c64d2-be77-4bc3-bebd-c32a671d6dd6,133415884,Layer 6,Machine Learning Engineer - Backend,on_site,"Ontario, Canada",2022-06-23T20:45:03.156Z,"

                            We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                            +

                            We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                            +

                            +

                            As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                            +

                            Must-have:

                            +

                            – BSc+ in Computer Science or similar
                            – 3+ years of programming experience
                            – Proven experience in designing and delivering a complex web application
                            – Experience as a key contributor and leader on projects
                            – Strong experience in Java and its ecosystem
                            – Passionate about creating maintainable and performant software
                            – Strong desire to learn and solve problems

                            +

                            Nice to have

                            +

                            – Experience with databases such as Elasticsearch
                            – Experience with microservice architecture
                            – Familiarity with data analysis or machine learning
                            – Experience with Docker and Kubernetes
                            – Comfortable with math (linear algebra, calculus)

                            ",careers@layer6.ai,,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-07-23T20:45:06.113Z,False,0,0,32,https://talenthub.vectorinstitute.ai/jobs/133415884-machine-learning-engineer-backend-at-layer-6,,expired,2022-06-23T20:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0b0bc32f-76c4-4cad-b1e3-87ce3270b54c,137169101,CIBC,"Consultant, Data Engineering and Reporting",on_site,"Ontario, Canada",2022-07-14T10:46:05.276Z,"
                            +

                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                            +

                            +

                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                            +

                            +

                            To learn more about CIBC, please visit CIBC.com

                            +

                            +

                            Job Description

                            +

                            +

                            What You’ll Be Doing

                            +

                            +

                            The Consultant, Business Analytics and Data Engineering, reporting to the Director, Cards and Deposits Data, Analytics and Decision Science and will be accountable for the day-to-day and strategic opportunities that align with the PBB Strategy. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will work on the delivery of data driven insights and solutions to evaluate client behaviors and to optimize business decisions related to product, campaign, pricing and other business areas.

                            +

                            +

                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                            +

                            +

                            How You’ll Succeed

                            +

                            +
                              +
                            • +Analytics & Reporting – Lead the delivery of fact-based dashboards and reporting tools to influence decisions and/or identify gaps. The expectation is to go well beyond the numbers and provide insightful product/business/customer/client/segment analysis. Contribute to the development and management of a reporting/analytical intake process. +
                            • +
                            • +Consultation – Participate as a thought partner and provide advice and recommendations that assist in the development and evolution of our business mandate and help our business make Better Decisions Faster +
                            • +
                            • +Data Exploration – What you need may not be always available. Explore the organization’s data that wasn’t utilized previously, and strategically plan out how each data element can be leveraged to derive more meaningful insights for the business. +
                            • +
                            • +Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights with a wide variety of audiences. +
                            • +
                            • +Strong Partner – Collaborate and communicate PSB Frontline analytics strategic priorities and act as a liaison with internal and external partners to gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition +
                            • +
                            +

                            +

                            Who You Are

                            +

                            +
                              +
                            • +Technical Skills. You can demonstrate data modeling skills in working with large datasets including both structured and unstructured data and related tools (e.g., SQL Developer, Python, SAS, etc.). You have proven expertise in designing and delivering the user friendly production report for the multiple users using various BI Platform. Strong proficiency in Alteryx and/or Tableau is a must.
                            • +
                            • +Analytical. You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                            • +
                            • +Detail Oriented. You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                            • +
                            • +Leadership. You lead by example and inspire your teammates to do their best. You can provide training and coaching to colleagues within the technical domain
                            • +
                            • +You put our clients and partners first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                            • +
                            • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                            • +
                            +

                            +

                            What you need to know

                            +
                              +
                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                            • +
                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                            • +
                            +

                            +

                            +

                            +

                            +

                            +

                            Job Location

                            Toronto-81 Bay, 25th Floor

                            Employment Type

                            Regular

                            +

                            Weekly Hours

                            37.5

                            Skills

                            +

                            Analytics Insights, IBM Cognos Business Intelligence, Microsoft Azure, Python, SAS BI, Structured Query Language (SQL), Tableau
                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineering-and-Reporting_2220935,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-25T10:50:57.570Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/137169101-consultant-data-engineering-and-reporting-at-cibc,,expired,2022-07-14T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3f9b3c0c-ec72-49ef-9830-dc69b9b8f674,133397243,Vector Institute (Internal Opportunities Only),Machine Learning and AI - Instructor (Black & Indigenous Program),full,Anywhere,2022-06-23T16:23:52.462Z,"

                            Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before September 21, 2022. The course will run dependent on the number of participant registrations.

                            +

                            We are advertising for this role in advance of September 21, 2022, so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                            +

                            This posting is to recruit one (1) Instructor candidate.

                            +

                            Important: +Applications will be reviewed on a rolling basis as the goal is to hire as soon as possible.

                            +

                            STATEMENT OF WORK: Machine Learning and AI - Instructor

                            +

                            Machine Learning and AI Course Dates: October 5, 2022 – November 17, 2022

                            +

                            Location: This course will be delivered online via D2L Brightspace

                            +

                            Classes and Tutorials: Deliver seven 2h lectures developed in collaboration with TA (Development & Delivery)

                            +

                            TA: TBA

                            +

                            Overview

                            +

                            Vector has developed a Black and Indigenous Internship Program, which is intended to increase participation rates from under-represented populations. The Program will create a targeted pathway for Black and Indigenous post-secondary students studying in Canada to intern in applied ML intern roles at Vector as well as in research internships with Vector Faculty Members. The target audience is Black and Indigenous post-secondary students studying in STEM, as well as in adjacent programs such as business and life sciences in Canadian post-secondary institutions.

                            +

                            The Machine Learning and AI course will cover the main concepts in machine learning and provide an overview of many commonly used machine learning algorithms.

                            +

                            Learning Outcomes

                            +
                              +
                            • How machines learn
                            • +
                            • Machine learning types: supervised (regression and classification), unsupervised (clustering, dimension reduction), ensemble learning
                            • +
                            • Python packages for machine learning
                            • +
                            • Model selection, training, and evaluation
                            • +
                            • Linear and non-linear models
                            • +
                            • Machine learning generalization
                            • +
                            • Optimization techniques (gradient descent algorithms, loss functions)
                            • +
                            • Tackling underfitting and overfitting challenges (regularization)
                            • +
                            • Probabilistic viewpoint: maximum likelihood estimation, maximum A posteriori, Bayesian inference
                            • +
                            • Bias and variance trade-off
                            • +
                            • Ensemble learning methods (bagging and boosting)
                            • +
                            • Introduction to neural networks
                            • +
                            +

                            Tasks and Responsibilities

                            +
                              +
                            • Prepare and deliver lectures
                            • +
                            • Collaborate with TA to develop lecture and assignment content
                            • +
                            • Participate in course development meetings and engage with course development discussions on Slack
                            • +
                            • Curate recommended readings or supplementary materials to support the assignments
                            • +
                            • Assist course participants throughout the course
                            • +
                            +

                            Fees

                            +
                            • $4,500 +
                            +

                            Course Schedule

                            +

                            Lectures and tutorials are tentatively scheduled to run from October 5 to November 17, with lectures taking place Wednesdays from 3pm to 5pm EST and tutorials running Thursdays from 3pm to 5pm EST. All classes and tutorials will be online. A capstone project and presentation will follow the seven-week period.
                            +

                            +

                            Hours
                            +Lecture: 2h/ Wednesdays 3pm to 5pm
                            +Tutorials: 2h/Thursdays, 3pm to 5pm
                            +TA Office Hours: 1h/week TBA
                            +

                            +

                            Weekly Schedule

                            +
                              +
                                +
                              • Week 1: October 5 – October 11
                              • +
                              • Week 2: October 12 – October 18
                              • +
                              • Week 3: October 19 – October 25
                              • +
                              • Week 4: October 26 – November 1
                              • +
                              • Week 5: November 2 – November 8
                              • +
                              • Week 6: November 9 – October 15
                              • +
                              • Week 7: November 16 – November 22
                              • +
                              +

                              +

                              CAPSTONE PROJECT FINAL

                              +

                              Capstone assignment: November 23, 2022

                              +

                              Capstone presentations (panel review): November 30, 2022

                              +

                              Marks submitted & data captured - end of course.

                              +

                              Applications will be reviewed in the order received until filled. To apply, please submit your CV and a statement outlining your motivation and objectives via Vector Talent Hub.

                              ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-07-23T17:46:22.585Z,False,1,0,71,https://talenthub.vectorinstitute.ai/jobs/133397243-machine-learning-and-ai-instructor-black-indigenous-program-at-vector-institute-internal-opportunities-only,,expired,2022-06-23T16:23:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, +613f7bce-5619-4fa3-bd4b-a627d7a958b3,143610231,TD Bank Group,"Advisor, Enterprise Data and Analytics Talent Strategy",on_site,"Toronto, ON",2022-08-12T01:50:16.138Z,"
                              +

                              Company Overview

                              +
                              +

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              +

                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                              +
                              +

                              +

                              Department Overview

                              +
                              +

                              It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                              +

                              The Advisor, Enterprise Data and Analytics Talent Strategy will be a key member of a high performing team of Data & Analytics professionals. The team’s mandate is to develop and implement best-in-class talent strategies, proposals, solutions and help position TD as a Data & Analytics Talent Powerhouse. The individual may lead and/or support enterprise level projects/initiatives and provide support to data and analytics teams across the enterprise. We are looking for self-motivated individuals who want to work in a fast paced, high visibility and high impact team.

                              +
                              +

                              +

                              Job Description

                              +
                                +
                              • Lead & maintain enterprise talent programs and initiatives as part of the Enterprise Data and Analytics group aligned to accelerating talent development and a data driven culture
                              • +
                              • Help make data and analytics a competitive advantage for TD – Enhance data and analytics brand across the Bank
                              • +
                              • Contribute to the development of analytics learning & development programs such as mentorship programs, employee onboarding, L&D programs.
                              • +
                              • Manage relationships with key internal and external partners
                              • +
                              • Identify and articulate key analytic talent needs and contribute to accelerating delivery
                              • +
                              • Conduct research and benchmarking studies, maturity assessments etc. as needed to support the evolution of the bank’s talent capabilities and identify emerging trends
                              • +
                              • Facilitate strategic planning workshops with leadership team
                              • +
                              • Connect with, and support the ongoing development of the broader talent data and analytics strategy teams across the enterprise
                              • +
                              • Develop dashboards, reporting, and metrics for talent programs
                              • +
                              • Help make data and analytics a competitive advantage for TD – Enhance data and analytics brand across the Bank and externally though partnerships and engagements with the academic world
                              • +
                              • Own or contribute in the development of strategy related assets including standard measures, frameworks, playbooks, workshops & development programs
                              • +
                              +

                              +

                              Requirements

                              +
                              +
                              +
                                +
                              • Undergraduate degree or technical certificate
                              • +
                              • 5+ years of relevant experience in data, analytics and/or consulting, ideally in an influencing or advisory capacity
                              • +
                              • Passion for analytics and a customer-driven mindset
                              • +
                              • Passion for talent, colleague experience and empowering employees to grow personally and professionally
                              • +
                              • Demonstrated experience in promoting and increasing analytics adoption within an organization
                              • +
                              • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                              • +
                              • Excellent interpersonal and communication skills, both written and verbal
                              • +
                              • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                              • +
                              • Ability to leverage data and analytics to explain business value of talent initiatives
                              • +
                              • Ability to work with ambiguity to breakdown and solve business problems
                              • +
                              • Experience with Tableau is preferred
                              • +
                              • Industry knowledge, including current talent trends, big data trends, tools and landscape
                              • +
                              • Ability to take ownership and work independently
                              • +
                              +
                              +

                              +

                              Additional Information

                              +
                                +
                              • Undergraduate degree or technical certificate
                              • +
                              • 5+ years of relevant experience in data, analytics and/or consulting, ideally in an influencing or advisory capacity
                              • +
                              • Passion for analytics and a customer-driven mindset
                              • +
                              • Passion for talent, colleague experience and empowering employees to grow personally and professionally
                              • +
                              • Demonstrated experience in promoting and increasing analytics adoption within an organization
                              • +
                              • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                              • +
                              • Excellent interpersonal and communication skills, both written and verbal
                              • +
                              • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                              • +
                              • Ability to leverage data and analytics to explain business value of talent initiatives
                              • +
                              • Ability to work with ambiguity to breakdown and solve business problems
                              • +
                              • Experience with Tableau is preferred
                              • +
                              • Industry knowledge, including current talent trends, big data trends, tools and landscape
                              • +
                              • Ability to take ownership and work independently
                              • +
                              +

                              +

                              Hours

                              +
                              37.5
                              +

                              +

                              Inclusiveness

                              +

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              +

                              +
                              ",,https://jobs.td.com/en-CA/jobs/16328601/advisor-enterprise-data-and-analytics-talent-strategy-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-16T01:55:19.811Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/143610231-advisor-enterprise-data-and-analytics-talent-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16328601/advisor-enterprise-data-and-analytics-talent-strategy-toronto-ca/,expired,2022-08-12T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6fcaa578-4437-40f2-af75-08219b1e15c4,141480660,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2022-08-03T18:24:07.312Z,"

                              Req Id: 382777 

                               

                              At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                               

                              If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                               

                              Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                               

                               

                              Bell’s Business Intelligence team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing & contact strategy opportunities and provide insight to drive optimal business decisions.

                              This is a terrific opportunity to help transform the organization, and achieve one of the most significant strategic mandates within Bell, leveraging machine learning and AI algorithms to drive business decisions. As part of this team, you will have opportunities to build your analytics skills, shape the next generation of BI and drive important business decisions working with new, cutting-edge technologies.

                              What our Team members have to say:

                              “We work in a fast-paced environment, which allows us to learn about many unique parts of the business in short periods of time. I have the ability and freedom to continually leverage my ideas and research to help solve business problems.”
                              “To me, the best thing about working for Bell is the amazing people. I am surrounded by a very supportive team and on a daily basis I collaborate with highly talented individuals throughout the company to solve complex business problems.”
                              We are looking for a data scientist who is highly logical, passionate, and can communicate effectively to all levels within the organization.

                              Key responsibilities may include:

                                +
                              • Lead the development of machine learning products and models from inception to production
                              • +
                              • Explore new data sources to uncover new business opportunities at all levels of the business (strategic to operational)
                              • +
                              • Identify areas for ML/AI opportunities and demonstrate to internal clients how ML/AI can improve their business
                              • +
                              • Build and implement strategies for ML-driven projects
                              • +
                              • Work with partners within Customer Operations and across Bell to make data-driven business decisions
                              • +
                              • Work with and present to all management levels
                              • +
                              • +Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.
                              • +

                              Critical Qualifications/Competencies:

                              • Bachelor’s degree, or Masters in a discipline such as Mathematics, Statistics, Machine Learning, Business analytics/Business Intelligence, Computer Science or related area

                              Algorithms:

                                +
                              • Advanced knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                              • +
                              • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, Tensor Flow, SparkML, Scikit-Learn
                              • +
                              • Stay abreast of new technology and techniques in the ML/AI space
                              • +

                              Coding:

                                +
                              • Advanced Python development skills
                              • +
                              • Excellent code design (OOP, Algorithms, and Data Structures)
                              • +
                              • Experience with CI/CD pipelines
                              • +

                              Data:

                                +
                              • Proficiency in SQL
                              • +
                              • Understanding of Spark and MapReduce
                              • +
                              • +Quick learner with ability to think out of the box
                              • +

                              #Indeed #Tech #Technology #SQL #ML #AI #MachineLearning #ArtificalIntelligence #Keras #BI #BusinessIntelligence #DataScience #LI-Hybrid #LI-MS2 #SparkML #Scikit-Learn #Pytorch #Keras

                               

                              #EmployeeReferralProgram

                               

                              Adequate knowledge of French is required for positions in Quebec. 

                               

                              Additional Information:

                              Position Type: Management 
                              Job Status: 
                              Regular - Full Time 
                              Job Location:
                              Canada : Quebec : Verdun || Canada : Ontario : Toronto 
                              Flexible work profile:
                              Mobile
                              Application Deadline: 08/15/2022 

                               

                              Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                               

                              At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                               

                              Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                               

                              Created: CanadaQC, Montreal

                               

                              Bell, one of Canada's Top 100 Employers.

                              ",,https://jobs.bell.ca/ca/en/job/BECACA382777EXTERNALENCA/Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-17T18:30:19.085Z,False,0,8,53,https://talenthub.vectorinstitute.ai/jobs/141480660-developer-data-science-at-bell-canada,BECACA382777EXTERNALENCA,expired,2022-08-03T18:24:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, +05987d46-b41d-4e34-aed8-c315f4e8257c,143593889,Scotiabank,Data Analyst,on_site,Canada : Ontario : Toronto,2022-08-11T20:19:07.951Z,"

                              +

                              +

                              +

                              +

                              Requisition ID: 151215

                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                              +

                              +

                              The Team
                              Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                              +

                              +

                              The Role
                              As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                              +


                              Some of the key accountabilities include:

                              +

                              • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                              • Analyze data in both Financial Systems and Big Data environments
                              • Support senior team members through research assignments and proof of concepts
                              • Demonstrate a passion for problem solving and data presentation technologies
                              • Facilitate UAT testing for system migration and new initiatives
                              • Report development and support for internal customers; including executives analytical minded skillset
                              • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                              • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                              +

                              +

                              What You Will Bring to Succeed
                              • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                              • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                              • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                              • Analytical and Detail-oriented
                              • Report development and support for internal and external customers; including executives analytical minded skillset.

                              +

                              +

                              The Workplace
                              • We are technology partners who help the business transform how our employees around the world work
                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                              • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                              • We foster an environment of innovation and continuous learning
                              • We care about our people, allowing them to design how they work to deliver amazing results
                              • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                              +

                              +

                              Scotiabank
                              As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                              +


                              Is this Role not the Exact fit?
                              Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                              +


                              +

                              +

                              Location(s): Canada : Ontario : Toronto

                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-08-18T20:24:14.424Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/143593889-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c0138d41-7dde-40a8-af16-7d05df7d8a07,143494071,NVIDIA,Drive Ops Coordinator,on_site,"Ontario, Canada",2022-08-11T07:35:05.204Z,"
                              +

                              We are now looking for a Drive Ops Coordinator to join out Automotive team focusing on self-driving cars and data collection.

                              +

                              +

                              NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today.

                              +

                              +

                              What you’ll be doing:

                              +
                                +
                              • Operate Drive Ops check in/out process
                              • +
                              • Conduct SSD process
                              • +
                              • Monitor and supervise vehicle fleet using WebFleet platform
                              • +
                              • Respond to AV drive mission test links requests
                              • +
                              • Assist Drivers, QA, and SW staff with various vehicle operations tasks
                              • +
                              • Coordinate data collection and AV driver scheduling
                              • +
                              • Supervise project progress and work to address operational issues that arise
                              • +
                              • Participate in all vehicle operations meetings
                              • +
                              • Work to improve and update all Drive Ops processes
                              • +
                              • Work with multi-functional teams to continuously improve methodologies and efficiencies and drive efforts to resolution.
                              • +
                              • Coordinate vehicle service needs
                              • +
                              • Independently create and update plans that achieve project objectives
                              • +
                              • Interact with suppliers and vendors
                              • +
                              • Define tasks, drive assignments and manage the progress
                              • +
                              • Identify risks and develop/execute risk management plans
                              • +
                              • Regularly provide leadership team with project status reports
                              • +
                              • Assist in improving existing models, processes and help feedback to improve infrastructure
                              • +
                              • Identify/track key milestones, evaluate/obtain/manage resources
                              • +
                              • Independently create and update plans that achieve project objectives
                              • +
                              +

                              What we need to see:

                              +
                                +
                              • AA/Bachelor’s degree or 1 to 2 years related experience
                              • +
                              • Experience with navigation and fleet management platform
                              • +
                              • Experience with vehicle operations and/or vehicle dispatch
                              • +
                              • Experience with Auditing processes
                              • +
                              • Strong time management skills to include follow-up with key project members (Internal/External)
                              • +
                              • Strong communication skills to interact daily with a project team
                              • +
                              • Basic Computer Skills using Microsoft Office programs (Word, Excel and PowerPoint)
                              • +
                              • Quickly learns and achieves proficiency in new software applications as needed
                              • +
                              • 5+ years’ experience in a similar role, preferably within an AA/engineering/logistics/operation environment
                              • +
                              • Knowledge of project management techniques and tools
                              • +
                              • Strong organizational skills and the ability to interact effectively with people at all levels of NVIDIA
                              • +
                              • Very strong leadership, facilitation and problem-solving skills are required to be successful in this role
                              • +
                              • Experience in working with suppliers, vendors and/or customers
                              • +
                              • Capability to quickly learn, understand, communicate, and integrate technical concepts and issues
                              • +
                              • Ability to travel, as needed
                              • +
                              +

                              +

                              +

                              +

                              +
                              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Drive-Ops-Coordinator_JR1952385-1,feed-importer@jobboard.io,,,,2022-08-18T07:40:19.719Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/143494071-drive-ops-coordinator-at-nvidia,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Masters Degree,New Posting, +f329445e-9733-4c32-a2df-3f3c09b2d8cd,144818265,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-08-18T01:50:32.993Z,"
                              +

                              Company Overview

                              +
                              +

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              +

                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                              +
                              +

                              +

                              Department Overview

                              +
                              +

                              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                              +

                              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                              +

                              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                              +
                              +

                              +

                              Job Description

                              +
                              +

                              Delivery

                              +
                                +
                              • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                              • +
                              • Build complex statistical models that learn from and scale to petabytes of data.
                              • +
                              • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                              • +
                              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                              • +
                              • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                              • +
                              • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                              • +
                              +

                              Expertise & Leadership

                              +
                                +
                              • Analytical thought leadership and stay current on developments in data mining and the application of data science
                              • +
                              • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                              • +
                              • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                              • +
                              • Communication and Stakeholder Management
                              • +
                              • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                              • +
                              • Advanced communication, business acumen and stakeholder management competencies
                              • +
                              • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                              • +
                              • Exceptional collaborator in a high-interaction environment
                              • +
                              • Foresee needs from business partners to prescribe effective solutions
                              • +
                              • Leverage empirical evidence and facts to influence/support decision making
                              • +
                              • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                              • +
                              • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                              • +
                              +
                              +

                              +

                              Requirements

                              +
                              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                              +
                                +
                              • Ability to translate business requirements into technical and analytical tasks
                              • +
                              • Demonstrated track record of leading major data science projects [or demonstrate ability]
                              • +
                              • Technical understanding and critical thinking to challenge status quo
                              • +
                              • Strong problem-solving skills, mathematical and data literacy
                              • +
                              • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                              • +
                              • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                              • +
                              • Demonstrated experience in data transformation and data manipulation.
                              • +
                              • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                              • +
                              • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                              • +
                              • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                              • +
                              • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                              • +
                              • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                              • +
                              • Experience with machine learning including supervised and unsupervised models.
                              • +
                              +
                              +

                              +

                              Additional Information

                              +
                              +#datascientist #LI-Hybrid

                              +

                              Locations:
                              Toronto
                              Montreal
                              Markham
                              London
                              Ottawa

                              +

                              * L7- L10

                              +
                              +

                              +

                              Hours

                              +
                              37.5
                              +

                              +

                              Inclusiveness

                              +

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              +

                              +
                              ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-19T01:55:25.734Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/144818265-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-08-18T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f0bd3600-f131-4947-890c-1adc7f643f8b,138455684,CN,Expert Data Analysis and Governance,on_site,"Ontario, Canada",2022-07-21T07:35:06.331Z,"
                              +

                              +

                              At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                              +


                              Job Summary

                              +

                              The Expert Data Analysis and Governance is responsible for facilitating access and analysis of all employee-related data (e.g., workforce demographics, hiring, attrition). The role handles and governs large quantities of data from multiple data sources, including the ability to merge it and ensure its consistency. Moreover, the role encompasses the development and creation of visualization and analysis tools to be used by the Human Resources (HR) function and CN’s executive leaders, as well as the ability to perform complex analysis on an ad hoc basis. It involves seeking out and understanding new data sources, merging it with other sources and modelling in order to provide a consumable format for analysis.

                              +

                              Main Responsibilities

                              +
                                +
                              • Data Management
                              • +
                              • Find and interpret rich data sources
                              • +
                              • Handle large amounts of data despite hardware, software, and bandwidth constraints
                              • +
                              • Merge data sources and ensure consistency of datasets
                              • +
                              • Create visualizations to aid in understanding data and build mathematical models
                              • +
                              +

                              Analytical Support

                              +
                                +
                              • Provide analytical support by creating and sharing regular and ad hoc reports as required
                              • +
                              • Develop and optimize Tableau and Power BI reports and applications to deliver simplified analytics to support insight development
                              • +
                              +

                              Data Interpretation

                              +
                              • Work with partners in HR and other functions on the extraction, analysis and interpretation of relevant data points from different source systems (e.g., workforce, recruiting, training, etc.)
                              +

                              Data Optimization

                              +
                                +
                              • Query large datasets and link related factors to reveal performance, safety or cost-saving opportunities
                              • +
                              • Analyze data, spot trends, and bring change to the organization
                              • +
                              • Explore and examine data from multiple disparate sources
                              • +
                              +

                              Working Conditions

                              +

                              The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN’s flexible work policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                              +

                              Requirements

                              +

                              Experience

                              +

                              Relational Databases and Modeling

                              +
                                +
                              • Minimum 5 years of experience with relational databases and modeling techniques and coding (e.g., Structured Query Language (SQL) Server)
                              • +
                              • Experience developing dashboards and interactive analytical tools and visualizations
                              • +
                              +

                              Education/Certification/Designation

                              +
                                +
                              • Bachelor’s Degree in Business Administration, Computer Sciences, Software Engineering, Statistics or equivalent degree and experience
                              • +
                              • Demonstrates agility and drives change
                              • +
                              • Knows the business and stays current on industry needs
                              • +
                              • Communicates with impact
                              • +
                              • Collaborates with others and shares information
                              • +
                              • Demonstrates active listening
                              • +
                              • Solves problems to create value
                              • +
                              +

                              Technical Skills/Knowledge

                              +
                                +
                              • Expert-level skills and usage of Microsoft Office (Excel and Access), Tableau and Power BI
                              • +
                              • Expansive knowledge of HR metrics, data, and business intelligence strategies
                              • +
                              +

                              About CN

                              +

                              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                              +

                              +

                              +


                              +

                              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                              +
                              ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8812?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-20T20:41:56.413Z,False,0,6,37,https://talenthub.vectorinstitute.ai/jobs/138455684-expert-data-analysis-and-governance-at-cn,,expired,2022-07-21T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Associate,Bachelors Degree,New Posting, +7e69b111-5bc4-4714-ab55-e370c8315074,142721319,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2022-08-09T01:50:19.714Z,"
                              +

                              Company Overview

                              +
                              +

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              +

                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                              +
                              +

                              +

                              Department Overview

                              +
                              +

                              Department Overview

                              +

                              We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                              +

                              The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                              +

                              The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment

                              +
                              +

                              +

                              Job Description

                              +
                              +

                              About this Role

                              +

                              As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                              +

                              Job Description
                              This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                              +
                                +
                              • Anticipate and explain potential fraud risks associated with strategic initiatives across TD
                              • +
                              • Help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
                              • +
                              • Provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                              • +
                              • Identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                              • +
                              • Understand and actively managing the operational impacts of our fraud defense strategies
                              • +
                              +

                              The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.
                              Accountabilities:
                              Fraud Management

                              +
                                +
                              • Accountable for fraud loss targets and the customer experience
                              • +
                              • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                              • +
                              • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                              • +
                              • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCAS, Avant, Experian, Transunion), in alignment with the Change Management protocols
                              • +
                              • Supports case valuation and prioritization to optimize fraud management
                              • +
                              • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                              • +
                              • Provide ad-hoc analysis to support decision-making at the executive level
                              • +
                              • Design champion / challenger strategies that lead to ongoing learning and improvement
                              • +
                              • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                              • +
                              • Produce timely diagnostics to identify system, strategy and operational issues
                              • +
                              • Participates in defect analysis to identify and remediate coverage gaps
                              • +
                              +

                              Partner Support

                              +
                                +
                              • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                              • +
                              • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                              • +
                              • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                              • +
                              • Support the continuous improvement agenda for our operational partners
                              • +
                              • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                              • +
                              • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                              • +
                              +
                              +

                              +

                              Requirements

                              +
                              +Job Requirements

                              +
                                +
                              • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                              • +
                              • 2+ years’ experience in an analytical capacity
                              • +
                              • Experience using analytical software tools such as SAS, Python, SQL and Excel for data analysis and/or reporting
                              • +
                              • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                              • +
                              • Demonstrated analytical, modeling and problem-solving skills
                              • +
                              • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                              • +
                              • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                              • +
                              • Ability to take initiative and work independently under tight timelines
                              • +
                              • Ability to work collaboratively and build relationships
                              • +
                              • Ability to effectively manage multiple projects and priorities simultaneously
                              • +
                              • Motivated to constantly strive to find innovative ways to enhance capabilities
                              • +
                              +

                              Preferable

                              +
                                +
                              • Experience in fraud management is an asset
                              • +
                              • Knowledge of machine learning is an asset
                              • +
                              • Agile experience is an asset
                              • +
                              +
                              +

                              +

                              Additional Information

                              +
                              Inclusiveness

                              +

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              +

                              +

                              Hours

                              +
                              37.5
                              +

                              +

                              Inclusiveness

                              +

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              +

                              +
                              ",,https://jobs.td.com/en-CA/jobs/14725874/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/142721319-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14725874/sr-business-insights-analyst-markham-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +747f20ff-5195-4de0-acba-6bf173f8f5a6,144294178,Sun Life Financial,Senior Security Engineer,on_site,"Ontario, Canada",2022-08-15T07:26:02.029Z,"
                              +

                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                              +

                              +

                              +

                              Job Description:

                              +

                              The Security Engineering team is looking for a Senior Information Security Engineer to join them. Working in an agile environment, you will have the exciting opportunity of managing security technologies that are currently deployed globally across Sun Life and help plan and deploy a diverse range of security technologies which monitor and protect sensitive data and systems from infiltration and cyber-attacks.

                              +

                              +

                              What you will do

                              +
                                +
                              • Lead security initiatives and enterprise level projects implementing security solutions and performing POC/POV for new technologies

                              • +
                              • Support and manage existing security technologies that are currently deployed globally across Sun Life.

                              • +
                              • Implement new security controls and capabilities into existing technologies and be responsible to deploy, support and maintain new security technologies that are deployed within Sun Life and owned and supported by the Security Engineering team.

                              • +
                              • Be part of a 24x7 on-call support team and be required to join major incident management calls to provide support and consultation for technologies supported by the Security Engineering team.

                              • +
                              +

                              +

                              What you will need to succeed

                              +
                                +
                              • An Information Technology University degree/college diploma in related discipline(s) or equivalent work experience
                              • +
                              • 3+ years of experience in information technology
                              • +
                              • 3+ years of experience in the information security field
                              • +
                              +
                                +
                              • Experience with end-point detection and response, intrusion detection, certificate management, email security and web content filtering technologies.
                              • +
                              • Experience with Security Information and Event Management platforms including log types.
                              • +
                              • Experience designing secure networks and endpoint systems
                              • +
                              • Experience planning, researching and developing security policies, standards and procedures.
                              • +
                              • Experience in a system administration role supporting multiple platforms and applications.
                              • +
                              • Experience with Windows and Linux based operating systems.
                              • +
                              • Experience in deploying enterprise level technology via managed projects.
                              • +
                              • Knowledge of networking technologies, firewalls, web application firewalls and intrusion prevention systems.
                              • +
                              • Knowledge of AWS cloud technologies.
                              • +
                              • Knowledge of disaster recovery, technologies and methods.
                              • +
                              • Strong communicator spoken and written with the ability to communicate network and endpoint security technical issues to peers and management.
                              • +
                              +

                              +

                              What’s in it for you?

                              +
                                +
                              • A flexible work schedule, so long it includes core working hours
                              • +
                              • Competitive salary
                              • +
                              • Flexible Benefits from the day you join to meet the needs of you and your family.
                              • +
                              • Wellness programs that support the three pillars of your health – mental, physical and financial.
                              • +
                              • Membership to a highly collaborative, supportive, and productive team
                              • +
                              +

                              +

                              #LI-Hybrid

                              +

                              +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                74,900/74 900 - 125,900/125 900

                                +

                                Job Category:

                                IT - Technology Services

                                +

                                Posting End Date:

                                26/08/2022
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Information-Security-Engineer_JR00058085?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-29T07:31:03.266Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/144294178-senior-security-engineer-at-sun-life-financial,,expired,2022-08-15T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 47978441-9bf7-4384-9b83-accf125ee9ae,148650372,RBC,"Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-09-05T12:53:02.187Z,"

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                Job Title

                                Manager, Data Insight Analytics

                                @@ -26610,178 +27726,6 @@ d5c9fe86-24c6-4c79-b208-227c85fa9beb,250676765,Scotiabank,Manager Treasury Risk

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-22T16:27:01.971Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/250676765-manager-treasury-risk-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,expired,2023-07-24T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c8751510-e154-4d17-9298-1330af5c5b37,257999103,OMERS,BI Data Engineer (6-Month Contract),on_site,"Ontario, Canada",2023-08-11T02:18:03.446Z,"
                                We are looking for a BI Data Engineer with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

                                -

                                -

                                Key Responsibilities:

                                -
                                  -
                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                • -
                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                • -
                                • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
                                • -
                                • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
                                • -
                                • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
                                • -
                                • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
                                • -
                                • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
                                • -
                                • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
                                • -
                                • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
                                • -
                                • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
                                • -
                                • Identifying, defining, and implementing opportunities for enhancing existing processes
                                • -
                                • Defining and implementing technical test plans and perform unit and integration testing
                                • -
                                • Operating in an Agile development environment
                                • -
                                • Managing change and communicating impacts to stakeholders and fellow team members
                                • -
                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                • -
                                -

                                -

                                Qualifications:

                                -
                                  -
                                • -Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                • -
                                • -Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                • -
                                • -Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
                                • -
                                • -Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                • -
                                • -Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                • -
                                • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                                    -
                                  • Azure Databricks using PySpark
                                  • -
                                  • Azure Synapse & Azure Data Factory
                                  • -
                                  • SQL Server Data Tools
                                  • -
                                  • Azure Machine Learning
                                  • -
                                  -
                                • -
                                • Excellent written, verbal, and presentation skills targeted at all levels of the organization
                                • -
                                -

                                -

                                -

                                -

                                -

                                Our story:

                                -

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                -

                                -

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-24T19:51:00.000Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/257999103-bi-data-engineer-6-month-contract-at-omers,,expired,2023-08-11T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -edd2dfe3-a4a4-4bf5-83f7-63bd26738955,210223731,TELUS,Senior Software Developer,on_site,"Ontario, Canada",2023-03-30T17:42:04.733Z,"
                                -
                                -

                                Description

                                -
                                -

                                Join our team

                                -

                                -

                                Become part of a future friendly national team, one that embraces change and initiates opportunity, has a passion for growth, believes in spirited teamwork, and has the courage to innovate. Our success is based as much on your dedication and hard work as it is on the innovative television, internet, voice, data and wireless products and solutions we offer.

                                -

                                -

                                Here’s the impact you’ll make and what we’ll accomplish together

                                -

                                -

                                As part of our Smart Cities and Home Services team, you will imagine, create, support and test innovative smart cities and live streaming services for TELUS. This is an opportunity for you to develop solutions and designs for streaming video while providing our customers with the best video streaming experiences. We’re stretching the boundaries of what is possible, and supporting and enabling local communities to expand their audiences.

                                -

                                -

                                Here\'s how

                                -

                                -
                                  -
                                • Provide leadership and architectural support for CI/CD pipeline and software development practices for a small team of developers
                                • -
                                • Create, test, and support new systems and services that you help create, operating in a dev-ops team.
                                • -
                                • Bring familiarity with building and using containers and other cloud-native tools
                                • -
                                • Develop new architectures and technologies to deliver the best viewing experience for our customers.
                                • -
                                • Develop and maintain technical documentation and architecture
                                • -
                                • Apply best practices of software development in different frameworks and troubleshoot integration issues
                                • -
                                • Automate service testing to ensure reliable and repeatable results.
                                • -
                                • Ensure a high level of code quality and integrity in software development projects
                                • -
                                • Work with Project Managers and Network Planners to ensure the successful delivery of projects
                                • -
                                • An understanding of the importance of automation and continuous integration and deployment
                                • -
                                -
                                -
                                -
                                -

                                Qualifications

                                -
                                -


                                What you bring

                                -

                                -
                                  -
                                • 5+ years of software development experience utilizing CI/CD practices and agile methodologies
                                • -
                                • Extensive experience with cloud-native tools and cloud environments (GCP and AWS)
                                • -
                                • Capable of mentoring developers and sharing your knowledge
                                • -
                                • Strong troubleshooting methodology
                                • -
                                • An interest in video streaming technologies
                                • -
                                • Insatiable curiosity for problem solving, technology and innovation
                                • -
                                • Desire to learn and take on new challenges
                                • -
                                • Ability to collaborate with diverse groups and technical teams
                                • -
                                • Strong verbal and written communication skills
                                • -
                                • Having a creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
                                • -
                                • Ability to manage key deliverables as part of an extended project team
                                • -
                                • Excellent interpersonal skills, talented at developing and fostering positive relationships with other team members
                                • -
                                • Bachelors in Computer Science, Engineering or related discipline
                                • -
                                -

                                -

                                Great-to-haves

                                -

                                -
                                  -
                                • Python, Java, C#
                                • -
                                • MySQL, MongoDB or equivalent databases
                                • -
                                • Docker, Kubernetes, Istio, Ansible
                                • -
                                • GitHub, AzureDevops, BitBucket, or equivalent source control repositories
                                • -
                                • Github Workflows, ArgoCD, Google CloudBuild, Helm or equivalent CI-CD pipeline tools
                                • -
                                • Adaptive bitrate streaming including HLS, DASH, and CDN technologies
                                • -
                                • Video analytics powered by machine learning technologies
                                • -
                                -

                                FFHJOBS

                                -
                                -
                                -
                                ",,https://careers.telus.com/job/Edmonton-Senior-Software-Developer-AB/568066617/,feed-importer@jobboard.io,,,,2023-04-29T19:31:52.720Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/210223731-senior-software-developer-at-telus,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -cecf7af6-f5c7-4a3b-a3d3-dd88a4b1b9ba,210221126,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-03-30T17:24:04.463Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                -

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                -

                                About this Role

                                -

                                As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                -

                                In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                -

                                -

                                As a Senior Business Insights Analyst, you will:

                                -
                                  -
                                • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                • -
                                • Develop analysis to illustrate business trends and identify areas of business opportunities
                                • -
                                • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                • -
                                • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                • -
                                • Execute on data requests accurately and within a timely manner
                                • -
                                • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                • -
                                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                • -
                                • Provides day-to-day support and delivery of analytics
                                • -
                                • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                • -
                                • Considered an authority within a given area
                                • -
                                • Oversee and/or independently perform tasks from end to end
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD?

                                -

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Five (5) or more years relevant experience
                                • -
                                • SQL coding experience is mandatory, Python is preferred
                                • -
                                -
                                -

                                -

                                Additional Information

                                -
                                #tdcybersecurity #LI-Post
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-29T19:18:00.746Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/210221126-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 0fc443c9-dd52-41e4-bf93-b3f514e2fe66,213974934,OMERS,"Director, Data & Analytics Delivery",on_site,"Ontario, Canada",2023-04-10T17:42:03.093Z,"

                                @@ -27169,6 +28113,223 @@ e1a81250-4e95-4ad7-b389-c66219030093,237206001,TD Bank Group,Senior Business Ana

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                ",,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-26T15:58:01.793Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/237206001-senior-business-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,expired,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8ac642d5-1bfc-4f86-8708-04647947a630,230064182,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-05-28T15:41:02.646Z,"
                                +

                                Referred applicants should not apply directly to this role.

                                +

                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                +

                                +

                                +

                                Location:

                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                +

                                +

                                When you hire great people, great things can happen.

                                +

                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                +

                                +

                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                +

                                +

                                Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                                +

                                +

                                The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                                +

                                +

                                You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                                +
                                  +
                                • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                • +
                                • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                                • +
                                • Perform data profiling and source to target mapping analysis for the best design
                                • +
                                • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                                • +
                                +

                                What you’ll do:

                                +
                                  +
                                • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                • +
                                • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                                • +
                                • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                                • +
                                • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                                • +
                                • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                                • +
                                • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                                • +
                                +

                                Who you are:

                                +
                                  +
                                • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                                • +
                                • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                                • +
                                • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                                • +
                                • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                                • +
                                • Professional experience working in an agile environment
                                • +
                                • Strong analytical and problem-solving ability
                                • +
                                • Strong written and verbal communication skills
                                • +
                                • Experience in operating and maintaining production-grade software
                                • +
                                • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                                • +
                                +

                                Preferred Skills:

                                +
                                  +
                                • Knowledge of software and data engineering best practices
                                • +
                                • Experience with large scale distributed data technologies and tools
                                • +
                                • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                                • +
                                • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                                • +
                                • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                                • +
                                • Understands how to translate business requirements to technical architectures and designs
                                • +
                                • Comfortable communicating with various stakeholders (technical and non-technical)
                                • +
                                +

                                +

                                Nice to have Skills (though not required):

                                +
                                  +
                                • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                                • +
                                • Contributions to open-source software (code, docs, or mailing list posts)
                                • +
                                • GCP Professional Data Engineer Certification
                                • +
                                • Confluent Certified Developer for Kafka
                                • +
                                +

                                +

                                COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                +

                                +

                                In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                +

                                +

                                +

                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                +

                                +

                                +

                                Number of Openings:

                                0

                                +

                                +

                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                +

                                +

                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                +

                                +

                                +

                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                +
                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-28T17:35:51.613Z,False,0,17,74,https://talenthub.vectorinstitute.ai/jobs/230064182-data-engineer-at-loblaw-companies-ltd,,expired,2023-05-28T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +027dc0b2-6587-42e5-ab72-43f33ff5128b,249147376,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2023-07-21T02:15:02.700Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                Do you have a passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                +

                                +

                                Working alongside a high performing team, the Senior Data Analyst will support our high growth business segment and influence business decisions through the use of data driven insights and analytical assets.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Work closely with business partners to identify complex business problems to solve and provide data driven solutions

                                • +
                                • Provide support for annual business plan, monthly sales forecast, and insight analysis

                                • +
                                • Supporting the analysis of Omni channels performance, with strong focus on digital channel

                                • +
                                • Ongoing support to uncover opportunities that will drive incremental sales

                                • +
                                • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance

                                • +
                                • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making

                                • +
                                +

                                +

                                Who are you?

                                +
                                  +
                                • Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles

                                • +
                                • An inquisitive mind. You are Sherlock Holmes! Driven to ask questions to peel the onion to identify the right problems to solve

                                • +
                                • A passion for solving problems. Balancing impact versus effort when designing solutions

                                • +
                                • Thirst for learning. You are a student at heart who is constantly learning the business, to uncover potential growth opportunities

                                • +
                                +

                                +

                                What will you need to succeed?

                                +
                                  +
                                • 4 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)

                                • +
                                • 4 + years experience with SQL. Comfortable writing accurate, efficient, complex SQL queries to extract and integrate data from multiple database sources

                                • +
                                • Business results focused with strong analytical skills and an eye for detail and accuracy

                                • +
                                • Executive level communication skills with the ability to simplify complexity for business audiences

                                • +
                                • Comfortable with ambiguity and able to operate in a matrix environment that requires strong cross functional collaboration

                                • +
                                • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment

                                • +
                                • Comfortable learning new applications and processes quickly with minimal direction

                                • +
                                • Experience in reporting automation using Python across multiple platforms and tools is required

                                • +
                                +

                                +

                                What technical skills will you need?

                                +
                                  +
                                • Advanced user of Tableau, CRM Analytics, Salesforce

                                • +
                                • Advanced user of SAS (SAS Enterprise Guide/SAS Viya), SQL Server

                                • +
                                • Working knowledge of Python

                                • +
                                +

                                +

                                What will be nice to have?

                                +
                                • Advanced user of MS Excel and MS Access

                                +

                                +

                                Unique Requirements

                                +
                                  +
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                • +
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                • +
                                +

                                +

                                What\'s in it for you?

                                +
                                  +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • +
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                                • +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • 20 days vacation per year and an innovative sabbatical program

                                • +
                                • Pension, stock, and savings programs to help build and enhance your future financial security

                                • +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                24/07/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00083274?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-27T20:12:00.000Z,False,0,4,12,https://talenthub.vectorinstitute.ai/jobs/249147376-senior-data-analyst-at-sun-life-financial,,expired,2023-07-21T02:15:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +435f027b-d794-4d2a-b04e-4fa91103a440,243217438,OMERS,BI Specialist (6-Month Contract),on_site,"Ontario, Canada",2023-07-05T02:18:03.228Z,"
                                We are looking for a BI Specialist with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

                                +

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                • +
                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                • +
                                • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
                                • +
                                • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
                                • +
                                • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
                                • +
                                • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
                                • +
                                • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
                                • +
                                • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
                                • +
                                • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
                                • +
                                • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
                                • +
                                • Identifying, defining, and implementing opportunities for enhancing existing processes
                                • +
                                • Defining and implementing technical test plans and perform unit and integration testing
                                • +
                                • Operating in an Agile development environment
                                • +
                                • Managing change and communicating impacts to stakeholders and fellow team members
                                • +
                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                • +
                                +

                                +

                                Qualifications:

                                +
                                  +
                                • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                • +
                                • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                • +
                                • +Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
                                • +
                                • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                • +
                                • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                • +
                                • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                                    +
                                  • Azure Databricks using PySpark
                                  • +
                                  • Azure Synapse & Azure Data Factory
                                  • +
                                  • SQL Server Data Tools
                                  • +
                                  • Azure Machine Learning
                                  • +
                                  +
                                • +
                                • Excellent written, verbal, and presentation skills targeted at all levels of the organization
                                • +
                                +

                                +

                                +

                                +

                                +

                                Our story:

                                +

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                +

                                +

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                +
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-28T02:23:00.000Z,False,0,7,68,https://talenthub.vectorinstitute.ai/jobs/243217438-bi-specialist-6-month-contract-at-omers,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, 1298e3c6-e142-4d45-8c4c-4d96e0868c75,273406293,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-09-24T12:25:02.216Z,"

                                What\'s the opportunity?

                                @@ -29240,6 +30401,173 @@ c774f775-7c2e-46a2-aa5f-02ce4b5adad6,119809811,TELUS,Data Scientist/Engineer,on_

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.


                                Job Segment: Developer, Engineer, Equity, Software Engineer, Computer Science, Technology, Engineering, Finance

                                ",,https://careers.deloitte.ca/job/Calgary%2C-Alberta%2C-Canada-Omnia-AI-Software-Engineer-New-Grad-2023-Multiple-Locations-AB/869516800/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/123650709-omnia-ai-software-engineer-new-grad-2023-multiple-locations-at-deloitte,,expired,2022-05-02T16:42:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +6dc92374-c9b5-4d3c-964b-506826be47b1,123889316,Bell Canada,"Senior Developer, Data Science",on_site,"Toronto, Ontario",2022-05-03T14:18:08.966Z,"

                                Req Id: 364534 

                                 

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                 

                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                                 

                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                                 

                                 

                                Bell’s Data Science team is responsible for the Machine learning/ AI strategy into Call Center Operations.

                                This is a terrific opportunity for seasoned professional to help transform the organization in driving out one of the most significant strategic mandates within Bell. As part of this team, you will have opportunities to use your data science skills and leadership skills to shape the next generation of AI/ML to truly transform how Bell operates.

                                Key responsibilities:

                                  +
                                • Lead NLP projects,
                                • +
                                • Provide direction to other data scientists from NLP perspective
                                • +
                                • Build and implement strategies for ML driven projects
                                • +
                                • Lead the development of machine learning products/ models from inception to production
                                • +
                                • Identify areas for AI/ ML opportunities in call center operations
                                • +
                                • Demonstrate to internal clients how machine learning can improve their business
                                • +
                                • Work with and present to all management levels
                                • +
                                • Design and introduce new processes, products and/or ML techniques into production, leveraging machine learning outputs
                                • +
                                • Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, continued learning, MOOCs etc.
                                • +

                                Required Competencies:

                                  +
                                • Practical experience in NLP
                                • +
                                • Experience in developing some of the following NLP models: Text summarization, text generation, sentiment and topic analysis, named-entity recognition etc
                                • +
                                • Ability to lead NLP projects
                                • +

                                ML/NLP technical expertise: (frameworks and libraries)

                                  +
                                • Advanced Python development skills
                                • +
                                • Practical experience with NLP frameworks/libraries e.g. Gensim, SpaCy
                                • +
                                • Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
                                • +
                                • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
                                • +

                                Theoretical knowledge:

                                  +
                                • Advanced knowledge of ML models: deep learning, reinforcement learning, and others
                                • +
                                • Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
                                • +
                                • Mathematical understanding of some ML algorithms: regression, SVM, decision trees etc
                                • +
                                • Experience with word embeddings and or embedding quality evaluation
                                • +
                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
                                • +

                                 

                                #EmployeeReferralProgram

                                 

                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. 

                                 

                                Additional Information:

                                Position Type: Management 
                                Job Status: 
                                Regular - Full Time 
                                Job Location:
                                Canada : Ontario : Toronto 
                                Flexible work profile:
                                Mobile
                                Application Deadline: 05/23/2022 

                                 

                                Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                 

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                 

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                 

                                Created: CanadaON, Mississauga

                                #Talent #Indeed Tech

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA364534EXTERNALENCA/Senior-Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-05-16T18:24:09.983Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/123889316-senior-developer-data-science-at-bell-canada,BECACA364534EXTERNALENCA,expired,2022-05-03T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +52da329f-654f-4ce0-83a1-cfc9bd44b4a1,123650712,Deloitte,Omnia AI: Data Engineer - New Grad 2023 - Multiple Locations,on_site,"Ontario, Canada",2022-05-02T16:43:43.525Z,"

                                Date: Apr 6, 2022

                                +

                                Location: Multiple Locations, Canada

                                +

                                Company: Deloitte

                                +

                                Job Type: New Graduate
                                Reference code: 101948
                                Primary Location: Multiple Locations, Canada
                                All Available Locations: Montreal; Calgary; Ottawa; Toronto; Vancouver

                                +

                                +

                                Our Purpose

                                +

                                +

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                +

                                +

                                By living our Purpose, we will make an impact that matters.

                                +

                                +

                                If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

                                +

                                +

                                What will your typical day look like?

                                +

                                +

                                A data engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

                                +

                                +

                                In this role, you will:

                                +

                                +
                                  +
                                • Design, engineer and test data pipelines and platforms that enable business analytics and insights
                                • +
                                • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                • +
                                • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                • +
                                • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                • +
                                +

                                About the team

                                +

                                +

                                As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

                                +

                                +

                                Enough about us, let’s talk about you

                                +

                                +

                                In this role, the expected qualifications are:

                                +

                                +
                                  +
                                • Graduating from a BA/BSc or MA/MSc degree in Applied Mathematics, Statistics, Computer Science, Engineering, Business, or related field by September 2023
                                • +
                                • Fascinated with data structures, data models and data patterns, interested in wrangling, joining and melting data sets together to create the foundation for analysis
                                • +
                                • Quick to learn new technologies, easy to adapt to new environments, curious to try out new things and not intimidated by large and complicated data sets
                                • +
                                • Exposed to and/or experienced with building data sets in the cloud (on AWS, Azure or Google platforms), on Big Data / Hadoop (using Sqoop, Kafka, Parquet, Scala, Python, etc.), or on database platforms (using SQL-like programming on SQL Server, Oracle, Hive, HBase, NoSQL databases, etc.)
                                • +
                                • Able to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
                                • +
                                +

                                +

                                Ottawa Only: Employees in the Ottawa practice will be required to obtain “reliability” and/or “Secret” level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status you must have resided in Canada for the last five (5) years and for ""Secret"" level, the last ten (10) years.

                                +

                                +

                                Our shared values

                                +

                                +

                                While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                +

                                They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                +

                                +

                                Every day, we live our Purpose through the following five shared values:

                                +

                                +
                                  +
                                • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                • +
                                • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                • +
                                • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                • +
                                • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                • +
                                • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                • +
                                +



                                The next step is yours

                                Sound like The One Firm. For You? Apply by May 15, 2022 @ 11:59pm ET.

                                +

                                +

                                To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                +

                                +

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                +

                                +

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                +

                                +

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                +


                                Job Segment: Database, Engineer, Developer, Equity, Oracle, Technology, Engineering, Finance

                                ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Canada-Omnia-AI-Data-Engineer-New-Grad-2023-Multiple-Locations/869610800/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/123650712-omnia-ai-data-engineer-new-grad-2023-multiple-locations-at-deloitte,,expired,2022-05-02T16:43:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +5e8da4fa-ce6f-461e-b147-028357887a5b,123650709,Deloitte,Omnia AI: Software Engineer - New Grad 2023 - Multiple Locations,on_site,"Ontario, Canada",2022-05-02T16:42:50.225Z,"

                                Date: Apr 6, 2022

                                +

                                Location: Multiple Locations, Canada

                                +

                                Company: Deloitte

                                +

                                Job Type: New Graduate
                                Reference code: 101945
                                Primary Location: Multiple Locations, Canada
                                All Available Locations: Calgary; Edmonton; Vancouver

                                +

                                +

                                Our Purpose

                                +

                                +

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                +

                                +

                                By living our Purpose, we will make an impact that matters.

                                +

                                +

                                Are you driven to establish a career in Application Integration development and passionate about technology? Do you thrive on solving challenging business problems with technical solutions? Working collaboratively with colleagues and be part of a team that delivers high caliber end to end business solutions, then Omnia AI is where you want to be.

                                +

                                +

                                What will your typical day look like?

                                +

                                +

                                A software engineer is passionate about building robust, reusable integration solutions and have a passion for digital transformation technology and is learning and gaining experience in agile development environments. You will play an active role throughout the entire engagement cycle – developing workflows and integration services and APIs. You enjoy working with others to solve problems and learn from senior members within the team. You like building positive peer and client relationships by developing an understanding of customer’s business and project scope and can translate business requirements into technical requirements.

                                +

                                +

                                In this role, you will:

                                +

                                +
                                  +
                                • Develop integrations and APIs using various platforms
                                • +
                                • Translate business rules and requirements into data objects, produce data mappings and write abstracted, reusable code components accordingly
                                • +
                                • Deploy and integrate solutions on the cloud and on-premises
                                • +
                                • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                • +
                                • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                • +
                                +

                                About the team

                                +

                                +

                                As a member of our Integration Modernization team, you will help our clients manage the complexity inherent in today’s diverse business landscape while supporting them in consolidating or customizing multiple technologies. You will be part of a practice focused on delivering a breadth of solutions to solve our clients most challenging business problems, with a focus on Integration Platforms, API design, and Micro and Web Services. We help our customers to reduce costs and risks by simplifying integration with existing systems and supporting them in all aspects of creating customized and innovative digital solutions.

                                +

                                Enough about us, let’s talk about you

                                +

                                +

                                You are someone who is:

                                +

                                +
                                  +
                                • Graduating from a BA/BSc or MA/MSc degree in Applied Mathematics, Statistics, Computer Science, Engineering, Business, or related field by September 2023
                                • +
                                • Quick to learn new technologies, easy to adapt to new environments, thrive on solving challenging problems with technical solutions
                                • +
                                • Strong development skills in Java Spring Boot, Spring Cloud and familiarity with streaming platforms
                                • +
                                • Able to work in multiple technical environments and able to work with peers and business stakeholders to collect and document assessment needs
                                • +
                                +

                                +

                                Our shared values

                                +

                                +

                                While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                +

                                They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                +

                                +

                                Every day, we live our Purpose through the following five shared values:

                                +

                                +
                                  +
                                • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                • +
                                • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                • +
                                • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                • +
                                • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                • +
                                • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                • +
                                +



                                The next step is yours

                                Sound like The One Firm. For You? Apply by May 15, 2022 @ 11:59pm ET.

                                +

                                +

                                To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                +

                                +

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                +

                                +

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                +

                                +

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                +


                                Job Segment: Developer, Engineer, Equity, Software Engineer, Computer Science, Technology, Engineering, Finance

                                ",,https://careers.deloitte.ca/job/Calgary%2C-Alberta%2C-Canada-Omnia-AI-Software-Engineer-New-Grad-2023-Multiple-Locations-AB/869516800/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/123650709-omnia-ai-software-engineer-new-grad-2023-multiple-locations-at-deloitte,,expired,2022-05-02T16:42:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, 4a7e666e-c59e-4249-b763-de681e8c5abd,120202540,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-04-13T21:45:05.908Z,"

                                What\'s the opportunity?

                                We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                @@ -32344,136 +33672,6 @@ bb3bcef4-51d1-4c1c-8169-3eb71efdc912,289138482,RBC,"Manager, Strategic Reporting

                                The base salary range is 116,250 CAD - 234,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

                                You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Solutions-Architect---AI_JR1974617,aitalent@vectorinstitute.au,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-06T19:24:34.648Z,False,0,5,96,https://talenthub.vectorinstitute.ai/jobs/286000793-senior-solutions-architect-ai-at-nvidia,,expired,2023-11-06T19:24:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, -4937772e-dc1e-4639-b6b7-fa72d5f9df23,291845897,CN,"Intern, Data Scientist",on_site,"Ontario, Canada",2023-11-30T12:30:02.212Z,"
                                -

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                -

                                -

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, DataScientist position in enter Montreal, QC for winter 2024 (January – April).

                                -

                                -

                                -

                                Job Summary

                                -

                                The Intern, Data Scientist is responsible for working with CN’s Data Science and Machine Learning Operations (MLops) teams to assist with the collection, analysis, and interpretation of large data sets. The position ensures automation and consistency across big data for the Machine Learning (ML) and Deep Learning (DL) model training.

                                -

                                Major Responsibilities

                                -
                                  -
                                • Clean and manipulate data using Pandas and NumPy
                                • -
                                • Create visualizations and reports using Matplotlib, Seaborn, Plotly, Power BI
                                • -
                                • Conduct statistical analysis using SciPy
                                • -
                                • Develop and test predictive models using scikit-learn, TensorFlow, and Keras
                                • -
                                • Conduct code reviews and ensure coding standards
                                • -
                                -

                                Requirements

                                -
                                  -
                                • Strong skills in programming languages such as Python
                                • -
                                • Experience with data analysis and visualization tools
                                • -
                                • Strong understanding of statistical and ML concepts and algorithms such as linear and logistic regression, decision trees, random forests, gradient boosting, and neural networks
                                • -
                                • Knowledge of PySpark and distributed computing*
                                • -
                                • Ability to communicate findings clearly and effectively
                                • -
                                • Applies critical thinking
                                • -
                                • Communicates with impact
                                • -
                                • Solves problems to create value
                                • -
                                • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
                                • -
                                -

                                Education

                                -
                                • Working toward a Bachelor’s Degree, Master’s Degree or Doctor of Philosophy in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                -

                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                -

                                -

                                -

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11482?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-12-04T12:37:02.532Z,False,0,8,52,https://talenthub.vectorinstitute.ai/jobs/291845897-intern-data-scientist-at-cn,,expired,2023-11-30T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -bb3bcef4-51d1-4c1c-8169-3eb71efdc912,289138482,RBC,"Manager, Strategic Reporting and Analytics",on_site,"Toronto, ON, Canada",2023-11-20T12:23:01.954Z,"
                                -

                                Job Summary

                                -

                                -

                                -

                                Job Description

                                -

                                What is the opportunity?

                                -

                                -

                                The successful candidate has a proactive & strong analytical and data mindset. You can proactively manage relatively complex reporting projects and data analysis independently and act effectively as a consultant with our internal partners. Your expertise in data visualization, data analytics and proficiency in Tableau will enable us to enhance the quality of our data-driven business decisions. As a hybrid remote/in-office position you will directly report to the Senior Manager, Strategic Reporting & Insights fostering a collaborative and supportive work environment.

                                -

                                -

                                What will you do?

                                -

                                -
                                  -
                                • Design, build and implement visually appealing and intuitive Tableau dashboards including a high level of complexity that serve as both self-serve sources of information and supports the analytical insights required to drive data-driven business decision
                                • -
                                • Analyze data to uncover trends, patterns and insights using a variety of analytical methods and translate them into prescriptive output. Communicate data insights through storytelling to a varied audience from front-line managers to executives
                                • -
                                • Work closely with the Data Engineering team to produce well-governed datasets that will enable reporting, data analytics and Tableau workbook performance optimization
                                • -
                                • Collaborate with internal stakeholders as a subject-matter-expert on data visualization and analytics. Recommend reporting and analytics solutions while driving a positive internal client experience
                                • -
                                • Investigate and resolve data & reporting issues and solution ad-hoc requests
                                • -
                                • Build your knowledge on-the-job in the areas of insurance products, distribution channels and various datasets
                                • -
                                -

                                -

                                What will you need to succeed?

                                -

                                -

                                Must-Have

                                -
                                  -
                                • Strong knowledge of Tableau Desktop, Python, MS Excel, SQL (or similar language) and dashboard building methodologies
                                • -
                                • Strong knowledge of analytical methods (e.g. exploratory, descriptive, predictive)
                                • -
                                • Proficient in using and manipulating large datasets
                                • -
                                • Ability to proactively solve & manage data and reporting problems
                                • -
                                • Positive attitude, team player, effective communications and collaboration skills + a strong internal client satisfaction outlook
                                • -
                                • Post-secondary education in math / computer science / data analytics or equivalent experience
                                • -
                                -

                                -

                                What’s in it for you?

                                -
                                  -
                                • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
                                • -
                                • Competitive pay and high-earning potential
                                • -
                                • All the tools, training, and team support you need to grow your business and career
                                • -
                                • Flexible work/life balance options
                                • -
                                • Sophisticated RBCI software tools to boost your productivity and grow your business
                                • -
                                -

                                -

                                RBC Insurance is an organization that succeeds by bringing out the best in its people. You’ll be part of a supportive, inclusive team that shares common values – including a fundamental respect for each other. At the heart of this is a commitment to diversity. RBC respects and responds to the many competing and evolving priorities in our lives – so you can focus on what you can do best – putting clients first.

                                -

                                -

                                -

                                Job Skills

                                Big Data Management, Budgeting, Business Performance Management, Critical Thinking, Knowledge Organization, Long Term Planning, Performance Management (PM)

                                -

                                -

                                -

                                Additional Job Details

                                -

                                Address:

                                MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

                                City:

                                MISSISSAUGA

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Insurance

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-11-17

                                Application Deadline:

                                2023-12-01

                                -

                                -

                                -

                                -

                                -
                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                -
                                -

                                -

                                -

                                -

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000072283/Manager-Strategic-Reporting-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-12-04T12:28:01.624Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/289138482-manager-strategic-reporting-and-analytics-at-rbc,,expired,2023-11-20T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -8540ed8b-207b-497e-8b63-4387e2e1ee90,286000793,NVIDIA,Senior Solutions Architect - AI,on_site,"Toronto, ON, Canada",2023-11-06T19:24:32.111Z,"

                                Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to help customers solve challenging problems using AI. Solutions Architects are the primary technical contacts for our customers and engage deeply with application developers and scientific researchers. We need individuals who can develop positive relationships with customers, learn their requirements, and work to bring solutions that enable their success.

                                -

                                Your primary responsibility will be to become a trusted technical advisor to our customers in Canada. You should be comfortable working in a dynamic environment, communicating with a broad range of customers from research organizations to enterprise customers, and have experience with (or the ability to learn about) NVIDIA’s solutions in areas such as Generative AI, LLMs, and high performance computing. We are laser-focused on helping customers adopt our platform, and you’ll need to be knowledgeable about a broad array of NVIDIA platforms. We expect you to work closely with the entire customer team, including sales, program management, and business development.

                                -

                                -

                                What you’ll be doing:

                                -
                                  -
                                • Engage with customers to develop a keen understanding of their goals, strategies, and technical needs – and help to define and deliver high-value solutions that meet these needs.
                                • -
                                • Develop and demonstrate solutions using NVIDIA’s platforms including state-of-the-art ML/DL, data science, and HPC.
                                • -
                                • Stay current with the state of the art in AI and scientific computing ecosystems.
                                • -
                                • Provide customer requirements to engineering to foster product and platform improvements.
                                • -
                                • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
                                • -
                                • Some travel to customers and conferences may be required.
                                • -
                                -

                                -

                                What we need to see:

                                -
                                  -
                                • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
                                • -
                                • 5+ years of hands-on experience, primarily with machine learning and deep learning software architecture and frameworks.
                                • -
                                • Strong analytical and problem-solving skills and the ability to learn new technologies quickly.
                                • -
                                • Strong written and oral communications skills, independent and able to multitask effectively with minimal day-to-day direction.
                                • -
                                -

                                -

                                Ways to stand out from the crowd:

                                -
                                  -
                                • Excellent knowledge of theory and practice of Generative AI and Large Language Models.
                                • -
                                • Experience with NVIDIA GPUs and software libraries, working with the engineering or research community.
                                • -
                                • Proven experience as a sales engineer/solutions architect.
                                • -
                                -

                                -

                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

                                -

                                -

                                The base salary range is 116,250 CAD - 234,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

                                -

                                You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Solutions-Architect---AI_JR1974617,aitalent@vectorinstitute.au,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2023-12-06T19:24:34.648Z,False,0,5,96,https://talenthub.vectorinstitute.ai/jobs/286000793-senior-solutions-architect-ai-at-nvidia,,expired,2023-11-06T19:24:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, 86024289-ba23-4a2b-97a7-3b4bb19b0e14,194552336,Scotiabank,"Manager, Forecasting Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-02-09T17:22:02.226Z,"

                                @@ -35068,6 +36266,134 @@ ced2b15e-57ea-407c-97d3-e3a8c137c7f2,156497048,Borealis AI,Research Engineer,on_

                                Inclusion and Equal Opportunity Employment

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                ",,https://www.borealisai.com/careers/?gh_jid=5870624002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-16T13:43:19.673Z,False,0,6,42,https://talenthub.vectorinstitute.ai/jobs/156497048-research-engineer-at-borealis-ai,,expired,2022-10-13T17:21:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +5e993f6b-8c31-44a0-8950-01a29c5bc786,121331619,Bell Canada,Senior Solutions Architect Integrator,temporary,"Toronto, ON, Canada",2022-04-19T14:28:38.048Z,"

                                As part of the Bell Business Market team, the Bell ICT team is in charge for the delivery of large and complex solution for Large Enterprise and Government Agencies. The ICT contact center practice is specialized in the delivery of the large and complex technical integration project using leading edge product technologies. The candidate is an accomplished expert in architecture, design and delivery of Genesys and Interaction Intelligence solutions. The successful candidate will work as senior consultant in key project, will assist and support the delivery teams as well as working in conjunction with our Project Management Office.

                                +

                                +

                                Role & Responsibilities:

                                +
                                  +
                                • Design contact center solutions, including integration to other industry known products used for WFM and WFO, as well as integration of self-serve solutions
                                • +
                                • Design system redundancy to ensure business continuity
                                • +
                                • Design solutions that will meet customer peak period in an HA environment
                                • +
                                • Support the development and integration teams in our delivery model, which includes activities such as solution sizing, HW and SW installation, configuration and integration of IVR / CTI contact centre solutions
                                • +
                                • Lead and participate in functional analysis of IVR and CTI specifications
                                • +
                                • Produces feasibility and effort estimates
                                • +
                                • Produce architecture documents
                                • +
                                • Collaborates closely with the Sales and Project Management teams
                                • +
                                • Plans solution delivery steps, deployment phases, quality assurance guidelines, and identifies delivery team members
                                • +
                                • Supports the integration team to ensure delivery
                                • +
                                +

                                +

                                Key Skills:

                                +
                                  +
                                • Solid knowledge of Genesys solutions & product suites
                                • +
                                • Knowledge of other contact centre solutions, such as workforce management, workforce optimization, including omni-channel and analytics
                                • +
                                • Flexibility, mobile and desire to work on different types of projects (development, integration & configuration) within different regions across Canada
                                • +
                                • Strong customer skills, with work experience at customer sites
                                • +
                                • VXML, Java, .Net, C, C++ programming languages
                                • +
                                • LAN and IP internetworking
                                • +
                                • Computer Science or Engineering background
                                • +
                                • Software development and systems integration
                                • +
                                • Database systems (Oracle, SQL)
                                • +
                                ",,https://jobs.bell.ca/ca/en/job/BECACA359405EXTERNALENCA/Senior-Solutions-Architect-Integrator,melissa.ruffolo@bell.ca,,,,2022-05-02T19:56:00.000Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/121331619-senior-solutions-architect-integrator-at-bell-canada,,expired,2022-04-19T14:28:00.000Z,employer-repost,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +de6d4e9b-ada0-434d-ab3d-fa71b3eef7a3,120381262,Bell Canada,Data Analyst Business Intelligence,on_site,"Mississauga, Ontario",2022-04-14T14:18:10.865Z,"

                                Req Id: 366951

                                +

                                +

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                +

                                +

                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                +

                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                +

                                +

                                The Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                +

                                +

                                This is an excellent opportunity for the right person to join our team and play a key role transforming the organization. If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                                +

                                +

                                Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                                +

                                +

                                Job Duties/Accountabilities :

                                +
                                  +
                                • This is an Agile development environment, working with the latest BI visualization tools and technologies
                                • +
                                • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                                • +
                                • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                                • +
                                • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                                • +
                                • Deliver on key projects and data strategies that directly support key business drivers
                                • +
                                • Work with and opportunity to present to various management levels
                                • +
                                • Maintain and expand your knowledge of BI and current technology through training opportunities
                                • +
                                +

                                +

                                Critical Qualifications/Competencies:

                                +
                                  +
                                • +You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                                    +
                                  • Business analytics / business intelligence
                                  • +
                                  • applied math,
                                  • +
                                  • computer science,
                                  • +
                                  • applied science / engineering,
                                  • +
                                  • economics/econometrics,
                                  • +
                                  • Commerce
                                  • +
                                  • management science / operations research
                                  • +
                                  • or related area
                                  • +
                                  +
                                • +
                                • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                • +
                                • You are highly analytical and understand the basic principles of working with large and complex data sets
                                • +
                                • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                • +
                                • You have the ability to work with a team towards common goals
                                • +
                                • You are able to manage multiple projects and priorities.
                                • +
                                • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                                • +
                                +

                                +

                                Preferred Qualifications/Competencies :

                                +
                                  +
                                • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                • +
                                • Experience with BI and data warehouse technologies
                                • +
                                • Basic working knowledge of project management steps
                                • +
                                • Experience in Telecommunications
                                • +
                                +

                                +

                                #EmployeeReferralProgram #ProgrammeRecommandationEmployes

                                +

                                #Indeed #Tech #Technology #Talent #Microstrategy #Oracle #SQL #BI #BusinessIntelligence #Telecommunications #SAS

                                +

                                +

                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                +

                                +

                                Additional Information:

                                +

                                Position Type: Management
                                Job Status: Regular - Full Time
                                Job Location: Canada : Ontario : Mississauga

                                +

                                Flexible work profile: Mobile
                                Application Deadline: 04/20/2022

                                +

                                +

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                +

                                +

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                +

                                +

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +

                                +

                                Created: Canada, ON, Mississauga

                                +

                                +

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA366951EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-04-20T14:23:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/120381262-data-analyst-business-intelligence-at-bell-canada,BECACA366951EXTERNALENCA,expired,2022-04-14T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +dcd5461c-8e67-40ba-93da-aab228b31f30,115323077,Bell Canada,Senior Solutions Architect Integrator,temporary,"Toronto, ON, Canada",2022-03-18T14:45:16.872Z,"

                                As part of the Bell Business Market team, the Bell ICT team is in charge for the delivery of large and complex solution for Large Enterprise and Government Agencies. The ICT contact center practice is specialized in the delivery of the large and complex technical integration project using leading edge product technologies. The candidate is an accomplished expert in architecture, design and delivery of Genesys and Interaction Intelligence solutions. The successful candidate will work as senior consultant in key project, will assist and support the delivery teams as well as working in conjunction with our Project Management Office.

                                +

                                +

                                Role & Responsibilities:

                                +
                                  +
                                • Design contact center solutions, including integration to other industry known products used for WFM and WFO, as well as integration of self-serve solutions
                                • +
                                • Design system redundancy to ensure business continuity
                                • +
                                • Design solutions that will meet customer peak period in an HA environment
                                • +
                                • Support the development and integration teams in our delivery model, which includes activities such as solution sizing, HW and SW installation, configuration and integration of IVR / CTI contact centre solutions
                                • +
                                • Lead and participate in functional analysis of IVR and CTI specifications
                                • +
                                • Produces feasibility and effort estimates
                                • +
                                • Produce architecture documents
                                • +
                                • Collaborates closely with the Sales and Project Management teams
                                • +
                                • Plans solution delivery steps, deployment phases, quality assurance guidelines, and identifies delivery team members
                                • +
                                • Supports the integration team to ensure delivery
                                • +
                                +

                                +

                                Key Skills:

                                +
                                  +
                                • Solid knowledge of Genesys solutions & product suites
                                • +
                                • Knowledge of other contact centre solutions, such as workforce management, workforce optimization, including omni-channel and analytics
                                • +
                                • Flexibility, mobile and desire to work on different types of projects (development, integration & configuration) within different regions across Canada
                                • +
                                • Strong customer skills, with work experience at customer sites
                                • +
                                • VXML, Java, .Net, C, C++ programming languages
                                • +
                                • LAN and IP internetworking
                                • +
                                • Computer Science or Engineering background
                                • +
                                • Software development and systems integration
                                • +
                                • Database systems (Oracle, SQL)
                                • +
                                ",,https://jobs.bell.ca/ca/en/job/BECACA359405EXTERNALENCA/Senior-Solutions-Architect-Integrator,melissa.ruffolo@bell.ca,,,,2022-03-31T14:41:00.000Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/115323077-senior-solutions-architect-integrator-at-bell-canada,,expired,2022-03-18T14:45:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, 9dbf5692-f222-49eb-8aa3-94d2d15135f8,156978283,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-10-15T17:18:10.017Z,"

                                Company Overview

                                @@ -37722,89 +39048,6 @@ f5327616-70f3-4d9e-9a62-bce58c4a6cd0,164063818,Scotiabank,Data Scientist - Custo
                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/563431917/,feed-importer@jobboard.io,,,,2022-11-10T19:40:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/163585318-senior-data-engineer-at-telus,,expired,2022-11-05T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -f5327616-70f3-4d9e-9a62-bce58c4a6cd0,164063818,Scotiabank,Data Scientist - Customer Insights Data & Analytics,on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.448Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 164321

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -

                                -

                                There has never been a better time to join Scotiabank as a Data Scientist. The Data Scientist role in the Corporate Functions Analytics team at Scotiabank is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities.

                                -


                                WHAT’S IN IT FOR YOU?

                                -


                                • An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrate success
                                • Exposure to different business lines where analytics techniques are being applied 

                                • Assignment in hands-on practical projects which provide an opportunity to gain new knowledge and develop skills 

                                • Ongoing training and learning program and conference
                                • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program

                                -


                                Responsibilities:

                                -


                                • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                • Ingest massive volumes of structured and unstructured format data, model, transform and store it in a variety of data stores
                                • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                • Collaborate with data engineering, operation, and other analytics teams to deploy models and algorithms in production across different channels and platforms
                                • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                • Support build real-time/batch data pipeline and deploy the model in a production environment
                                • Prepare detailed documentation to outline data sources, models, and algorithms used and developed.
                                • Present results to business line stakeholders and help implement real data-driven changes.

                                -

                                -

                                Requirements:

                                -


                                • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics) 

                                • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio)
                                • Hands-on experience with Big Data/Cloud ecosystem (GCP) and experience with log management system (e.g., Splunk)
                                • Production experience with experimental design, statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, acquisition)
                                • Programming skills in Python (Preferred but not required Java)
                                • Experience with common machine Learning libraries in Python, PySpark (scikit-learn, xgboost)
                                • Experience with UNIX tools and shell scripting
                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                • Experience using and implementing visualization tools like PowerBI or DataStudio or Looker
                                • Experience working with GCP and deploy model in Kubernetes Environment
                                • Experience working with Git Workflows (Pull Request, Code Review, Branching)

                                -



                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2V9/563907217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-10T17:27:02.881Z,False,0,9,30,https://talenthub.vectorinstitute.ai/jobs/164063818-data-scientist-customer-insights-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2V9/563907217/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -2b307274-43dd-4e47-a955-dd951311af44,155399464,Scotiabank,Senior Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-06T20:20:27.374Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 164067

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -

                                -

                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                -


                                The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use.
                                We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

                                -


                                Key Accountabilities:

                                -


                                • Design and implement services and components to enable enterprise-wide use of data
                                • Automate and re-factor services code.
                                • Research, create and evaluate technical solution alternatives for the business needs.
                                • Work closely with software/data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
                                • Participate in planning and retrospective sessions, attend stand-ups, etc.

                                -


                                Functional Competencies:

                                -


                                • Bachelor’s degree in Computer Science, Software Engineering, Mathematics
                                • 5+ years’ experience in building enterprise software and solid grasp of Object-Oriented principles
                                • 5+ years’ experience with object-oriented programming languages (e.g. Scala, Python, Java)
                                • 3+ years’ experience working with big data technologies (e.g. Spark, Hive)
                                • Understanding of data management disciplines such as data quality, data profiling, etc.
                                • Knowledge and understanding of Google Cloud and its data management capabilities a plus
                                • 3+ years’ experience working with relational databases (e.g. MySQL, PostgreSQL)
                                • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
                                • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
                                • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability, and readability
                                • Proven strong analytical design, troubleshooting and problem-solving skills
                                • Experience with performance tuning data pipelines
                                • Strong communication skills, both written and spoken
                                • Team player, self-starter, fast learner, relentlessly focused on impact, and able to operate under a great deal of independence
                                • Writing and maintaining clear documentation
                                • Previous experience working in a technology company or financial institution a plus

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-10T13:51:12.997Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/155399464-senior-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,expired,2022-10-06T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -88c3ec54-2ecb-4f90-994e-a1e20f6d409c,163585318,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2022-11-05T17:42:03.149Z,"
                                -
                                -

                                -
                                -

                                Our team and what we’ll accomplish together*

                                -


                                The Direct-To-Consumer (D2C) channel team is a fast-paced and growing residential sales team that is at the forefront of innovation for TELUS. Our D2C Data & Reporting team is responsible for arming our sales teams with the tools, processes, and data to enable a better customer experience and deliver on sales & marketing targets for TELUS.

                                -

                                -

                                We are looking for a passionate and dynamic individual to join our team and play an important role in building critical data engineering and generating data-driven business insights for our ever-expanding D2C Channel team! As a Sr. Data Engineer, you will lead the team across our data strategy, analysis, data integration, and data management. You will have the opportunity to collaborate with leadership teams to understand the biggest challenges to solve and are passionate about turning data into actionable insights that will accelerate channel outcomes.

                                -

                                -

                                What you’ll do*

                                -

                                -
                                  -
                                • Develop and maintain scalable data pipelines to support the continuous increase in data volume and complexity.
                                • -
                                • Design and build data models, views, BI semantic layers, and BI assets for governed reporting and self-service data discovery and analytics.
                                • -
                                • Engineer end-to-end data solutions on both on-prem and cloud infrastructure.
                                • -
                                • Implement processes and systems to monitor data quality, ensuring data is always accurate and available for key stakeholders and business processes that depend on it.
                                • -
                                • Proactively investigates and troubleshoots technical and system problems with the database and maintenance of the database.
                                • -
                                • Be the subject-matter expert on data infrastructure, data architecture, modeling, and optimization.
                                • -
                                -
                                -
                                -
                                -

                                -
                                -

                                What you bring*

                                -

                                -
                                  -
                                • 7+ years of experience as a Data Engineer, Business Intelligence Engineer, Database Administrator, or a similar role
                                • -
                                • Hands-on experience with data warehouse technologies and a strong understanding of data modeling concepts
                                • -
                                • Skilled at quickly deriving insights with large data sets and have at least 7+ years of hands-on experience with Oracle and SQL Server databases (SQL), and you will build the foundations as TELUS moves to the Google Cloud Platform
                                • -
                                • Proficiency with some of the following technologies: ORACLE, Exadata, Microsoft SQL Server, Cloud managed database, SSIS, Informatica, Talend, R, Python, GCP, Azure Data Factory, AWS Glue, Tableau, Domo, Power BI, etc.
                                • -
                                • You have extensive experience and in-depth knowledge of identifying requirements and building data pipeline/ data warehouse solutions & system roadmaps in collaboration with key stakeholders.
                                • -
                                • Ability to work independently in a fast-paced environment and at the same time able to collaborate with stakeholders
                                • -
                                • Excellent analytical ability, strong organizational skills, ability to prioritize, ability to multi-task, work under pressure, and meet deadlines promptly
                                • -
                                -

                                -

                                Great-to-haves*

                                -

                                -
                                  -
                                • Post-secondary degree in Computer Science or Engineering and/or equivalent experience
                                • -
                                • Experience working on cloud data architecture like GCP, AWS, Azure
                                • -
                                • 5 years of telecom and/or home security experience
                                • -
                                • Certification in Data Engineering/ Business Intelligence tech stack
                                • -
                                -

                                #LI-REMOTE

                                -
                                -
                                -
                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/563431917/,feed-importer@jobboard.io,,,,2022-11-10T19:40:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/163585318-senior-data-engineer-at-telus,,expired,2022-11-05T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, 1628f5fc-ac4c-4c14-98b5-210ed5704577,157409150,NVIDIA,AI Developer Technology Engineer,on_site,"Ontario, Canada",2022-10-17T17:31:36.773Z,"

                                NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer.

                                @@ -42826,28 +44069,6 @@ f4457867-4264-4d7e-ac47-26e1bc0f0e4a,192002206,Scotiabank,"Manager, Analytics",o

                                Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Analytics-ON-L4W0B4/567358417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/192002206-manager-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Analytics-ON-L4W0B4/567358417/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -352d7dd6-f6f5-4f6f-880d-4642cc5b89c2,193456885,Scotiabank,"Sr. Manager, Retail Deposit Analytics",on_site,Canada : Ontario : Toronto,2023-02-06T17:22:01.429Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 172424

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose

                                -


                                The Senior Manager, Retail Deposit Analytics is responsible for leading a team of analytics professionals in conducting analyses and making fact-based recommendations across the Retail Deposits and Day to Day Banking portfolios. The incumbent will deliver strategic and tactical knowledge to facilitate the execution of strategies that will enable profitable growth of Deposit customer base, increase customer engagement and optimize revenue margins for the business. He/She will work with multiple stakeholders and partners within and outside Scotiabank to develop optimal strategies based on excellent analytical, database marketing, people management, communication and relationship management skills.

                                -

                                -

                                Accountabilities

                                -

                                -

                                Accountability 1 - Analysis & development support for acquisition and campaign strategies

                                -

                                -


                                • Collaborate with Retail Deposit and Day to Day banking team to profitably grow customer base. Proactively provide strategic analysis that will assist the business to optimize new & existing accounts and product mix from various channels. Grow day to day banking customer base within multiple segments of Scotiabank customers and enhance opportunity to acquire non-Scotiabank customers.
                                • Work closely with marketing team to develop analytical and segmentation strategies that enhance Deposit customer engagement initiatives while optimizing budgets as well as margins. Collaborate with Retail Marketing and Customer Decisioning teams to implement and fulfill campaigns while ensuring seamless customer experience.
                                • Lead the data science initiatives to optimize pricing and targeting strategies to drive acquisition & retention of chequing balances. This role works closely with Retail Deposit team, finance, treasury, channel partners to recommend pricing and targeting strategies to grow deposit portfolio.
                                • Evaluate new campaign ideas based on business opportunities and revenue growth; provide initial sizing and develop business case. Provide go/no go recommendation by examining overall P&L impact to the bank.
                                • Collaborate with Campaign Design, Products and Retail Marketing teams to support optimal acquisition and customer migration initiatives driven through centralized campaign execution engine.
                                • Work closely with segmentation/modeling experts within or outside Scotiabank to create new and effective ways of targeting customers in order to maximize efficiency of acquisition campaign strategies.
                                • Continuously acquire and enhance knowledge of business/product strategies, competitive practices, market insights and other policies, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants.

                                -

                                -

                                Accountability 2 - Measurement & Reporting

                                -


                                • Lead the creation of ongoing measurement of acquisition/engagement campaign strategies relative to the pro-forma/plan. Provide actionable insights and recommendations to business stakeholders on an ongoing basis in order to maximize business results and enable the creation of an ongoing learning loop.
                                • Develop pro-forma for acquisition/engagement campaign initiatives working closely with multiple stakeholders at Scotiabank.
                                • Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams;
                                • Providing analytical support and profit insights on a regular and ad-hoc bases within Retail Canadian Banking with an eye towards driving business growth and profits
                                • Provide business support to all areas of Retail Deposits and Day to Day Banking including Business development, Product, Acquisition and Analytics. Work with Finance for business case development and to report results to Senior Management as well as provide outlook/projection

                                -


                                Requirements & Qualifications:

                                -

                                -

                                • In-depth analytics experience and solid business acumen are required. Extensive marketing & campaign analytics and decision support experience is strongly preferred along with a comprehensive understanding of portfolio optimization and financial P&L levers.
                                • Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies.
                                • A proven ability to rapidly, effectively and accurately extract and interpret data and transform it into meaningful and actionable business insights.
                                • Exceptional oral and written communication skills, with a demonstrated ability to present and translate highly technical concepts to a wide audience.
                                • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests.
                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                • Proven track record of success in maintaining, leading and motivating a productive team of analytics professionals.
                                • Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors that will contribute to successful growth initiatives.
                                • Minimum Bachelor's Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
                                • MBA (Finance or Marketing)/CFA/FRM or Master in Analytics - preferred

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Retail-Deposit-Analytics-ON-M5C2W1/567239417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/193456885-sr-manager-retail-deposit-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Retail-Deposit-Analytics-ON-M5C2W1/567239417/,expired,2023-02-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, 77f25aea-d2f7-4cbc-9cd1-99f367a38e98,189562754,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-01-23T17:12:02.159Z,"

                                Address:

                                100 King Street West

                                @@ -43305,6 +44526,101 @@ cbd5d18f-a653-4995-9c19-334d1d2c7c23,176655743,Scotiabank,"Senior Manager, Retai
                              • Foundations - This team works on the WebAssembly compiler ensuring it has the features we need and works with the open source community to ensure the roadmap meets our needs
                              • Infrastructure - This team looks at the infrastructure needed to run our systems at scale, performant and securely
                              • ",,https://www.shopify.com/ca/careers/staff-lead-developer-core-extend-americas-remote_f0ae5013-a995-4fd5-b946-d49eb7206d94,feed-importer@jobboard.io,,,,2023-01-12T21:57:00.000Z,False,0,5,15,https://talenthub.vectorinstitute.ai/jobs/182853346-staff-lead-developer-core-extend-americas-remote-at-shopify-inc,,expired,2023-01-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +c9781520-5221-4621-a839-a7153a42ddc1,178993689,Sun Life Financial,"Director, Data and Analytics Transformation",on_site,"Ontario, Canada",2022-12-19T17:41:03.771Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                The Client Solutions Centre (CSC) within Sun Life (SL) Canada represents one of the fastest growing and most profitable areas in the Canadian operation. With over $18B in assets in our Choices plans and incredible penetration with our insurance Choices products, the CSC has successfully offered group members who are leaving their employers the choice to keep their assets and benefits with Sun Life Financial through a convenient process at competitive rates.

                                +

                                +

                                The Director, Data & Analytics Transformation in CSC, will report to the AVP CSC Analytics and will lead a team of data & analytics practitioners and is responsible for the strategy & execution of data & analytics capabilities in support of the ‘CSC Bold’ strategy.

                                +

                                +

                                What will you do?

                                +

                                +

                                Transform the business

                                +
                                  +
                                • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics

                                • +
                                • Drive thought leadership in solving strategic issues using data driven approaches to identify root cause

                                • +
                                • Develop tools and capabilities in support of the 4 work streams of CSC Bold, ensure that they are built in a robust scalable manner, with MEUC compliance, and cross-training to minimize risks.

                                • +
                                • Partner with Data Science CoE to proactively apply data science and advanced analytics techniques to identify and address business opportunities

                                • +
                                +

                                +

                                Compliance and knowledge management

                                +
                                  +
                                • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models

                                • +
                                • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk

                                • +
                                • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA

                                • +
                                +

                                +

                                Communication and relationship management

                                +
                                  +
                                • Strong communicator & relationship builder –connect the dots and identify opportunities to collaborate and leverage analytics to drive outcomes and deliver business value

                                • +
                                • Business Partner –strong business acumen, understanding & empathy necessary to uncover the art of the possible & pragmatic to build and implement solutions in partnership.

                                • +
                                +

                                +

                                Team management

                                +
                                • Drive high performing team culture by promoting career development, being results oriented, building trust through strong team collaboration to tackle complex problems, align on common goals, and increase knowledge sharing.

                                +

                                +

                                What will you need to succeed?

                                +

                                +

                                Knowledge/Skills/Experience/Competencies:

                                +
                                  +
                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                • +
                                • 7 + years experience with Big Data, common data structures, data visualization techniques, business intelligence techniques & statistical analysis tools

                                • +
                                • 7+ years experience of what the applications of analytics are (descriptive, diagnostic, predictive, prescriptive) to effectively identify how they can help resolve business problems or support opportunities

                                • +
                                • 5 years experience in leading and managing high performing teams

                                • +
                                • Experience leading Data Analytics transformation; coaching teams and business through the transformation

                                • +
                                • Minimum of 2 years experience delivering Data Products in Agile

                                • +
                                • Experience using strategic frameworks to develop business strategy

                                • +
                                • Strong interpersonal skills and the ability to influence peers to achieve a desired result

                                • +
                                • Familiar with one or more statistical programming languages (i.e., Python/R/SAS)

                                • +
                                • Strong analytic and diagnostic skills and Problem solving mindset

                                • +
                                • Experience with data visualization techniques

                                • +
                                • Proven track record around defining & implementing strategy

                                • +
                                • Superior organizational skills, including process management to support workflow improvements

                                • +
                                • Organization agility and systems thinking

                                • +
                                • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                                • +
                                +

                                +

                                What will be nice to have?

                                +
                                  +
                                • Management consulting experience is an asset

                                • +
                                • Group Retirement, CSC, Enterprise Services, Client Experience Office and relevant industry experience desired

                                • +
                                • Bilingualism is an asset

                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                  +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • +
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                                • +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • 20 days vacation per year and an innovative sabbatical program

                                • +
                                • A friendly, collaborative and inclusive culture

                                • +
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                • +
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • +
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • +
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                105,000/105 000 - 165,900/165 900

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                08/01/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-and-Analytics-Transformation_JR00069309?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:03:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/178993689-director-data-and-analytics-transformation-at-sun-life-financial,,expired,2022-12-19T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, 4c290d3a-3823-4395-ad67-93e58d6a7b09,176656512,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2022-12-12T17:42:03.020Z,"

                                @@ -48161,6 +49477,62 @@ bbc9d2c7-c1ac-452a-918b-f16f3ba75f07,281698704,OMERS,"Technical Analyst, Valuati

                                ",,https://jobs.td.com/en-CA/jobs/19405806/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-12-11T19:32:00.000Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/293589519-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19405806/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-12-07T16:26:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +31bd5e35-c32c-49c8-989d-63ef40eb6fc5,293589519,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-12-07T16:26:04.132Z,"
                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Workplace Model

                                +
                                Hybrid
                                +

                                +

                                Pay Details

                                +

                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                +

                                +

                                Department Overview

                                +

                                Within the Treasury and Financial Modelling team, the Customer Behavior Modelling group supports stress testing, valuation and hedging of various bank products, option exposures, and investment asset classes through statistical modelling and advanced analytics of customer behavior.

                                +

                                +

                                Job Details

                                +
                                The position reports to Senior Manager, Customer Behaviour Modelling team within the Treasury and Financial Modelling group. Detailed accountabilities include

                                +
                                  +
                                • Develop, present, document, and back-test various statistical and econometric customer behaviour models and analytics to support stress testing, valuation and hedging of various bank products, option exposures, and investment asset classes
                                • +
                                • Conduct sensitivity analyses to assess the impact of model assumptions on the bank’s margins and risk metrics.
                                • +
                                • Research industry best practice, address model validation, audit and regulatory requirements and/or findings in a timely manner
                                • +
                                • Assist with building automated tools and data extraction frameworks.
                                • +
                                • The position must work effectively with internal and external business partners to ensure the soundness and accuracy of the model development and implementation.
                                • +
                                +
                                +

                                +

                                Job Requirements

                                +
                                  +
                                • Strong quantitative skills with a Graduate degree in Statistics/Mathematics/Economics/Computer Science/Actuarial Science/Finance/Engineering or equivalent (e.g., CFA or FRM).
                                • +
                                • 3+ years of working experience in developing statistical and Machine Learning prediction/classification models, preferably in the financial industry.
                                • +
                                • Working knowledge of financial markets as well as fixed income portfolio management techniques and valuation models.
                                • +
                                • Solid “hands-on” experience with using SQL programming, Python, Excel VBA and C++ programming.
                                • +
                                • Experience with statistical methods and libraries (e.g., R, and SAS)
                                • +
                                • Solid experience with Microsoft Office tools (Excel, VBA, Word, Powerpoint)
                                • +
                                • Strong presentation and documentation skills
                                • +
                                • Ability to work in a fast paced, multiple-project environment
                                • +
                                • Proven ability to work in teams and to build effective working relationships, as well as ability to work independently
                                • +
                                • Strong time management skills and ability to meet deadlines
                                • +
                                +

                                +

                                Company Overview

                                +
                                +Our Values
                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                +

                                Making Your Well-being a Priority
                                A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                +

                                Our Total Rewards Package
                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                +

                                How We Work
                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                +

                                Who We Are
                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                +
                                +

                                +

                                Inclusiveness

                                +
                                +Our Commitment to Diversity, Equity, and Inclusion
                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                +

                                Accommodation
                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                +

                                How We’re Helping Make an Impact in Communities
                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                +

                                We look forward to hearing from you!

                                +
                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/19405806/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-12-11T19:32:00.000Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/293589519-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19405806/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-12-07T16:26:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, 50b2b10c-df0c-4e05-b9ac-288b74ff4ab7,292866551,Scotiabank,"Senior Manager, Strategic Analytics & Client Solutions Insight - Tangerine",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-12-04T16:25:01.989Z,"

                                Requisition ID: 187694

                                @@ -50513,532 +51885,398 @@ aff8d8b6-f90d-43c5-a3eb-8c1c2a0224e7,281690692,BMO Financial Group,"Senior Manag

                                Inclusion and Equal Opportunity Employment

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-11-15T20:29:41.495Z,False,0,7,106,https://talenthub.vectorinstitute.ai/jobs/280097013-staff-researcher-at-borealis-ai,,expired,2023-10-15T12:25:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -b4ede51c-6d8f-4bc9-8fbb-0940d4a3c5a5,345756900,BMO Financial Group,"Senior Analyst, Risk Modeling and Analytics",on_site,"Ontario, Canada",2024-10-10T08:18:03.847Z,"
                                -

                                Application Deadline:

                                10/27/2024

                                -

                                -

                                Address:

                                250 Yonge Street

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                -
                                  -
                                • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                • -
                                • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                • -
                                • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                • -
                                • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                • -
                                • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                • -
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                • -
                                • Conducts quantitative research in risks across strategies and portfolios.
                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • -
                                • Works independently on a range of complex tasks, which may include unique situations.
                                • -
                                • Broader work or accountabilities may be assigned as needed.
                                • -
                                -

                                -

                                Qualifications:

                                -

                                Foundational level of proficiency:

                                -
                                  -
                                • Regulatory capital and stress testing.
                                • -
                                • CECL & IFRS9.
                                • -
                                • Compliance and regulation.
                                • -
                                • Machine learning.
                                • -
                                • Learning Agility.
                                • -
                                • Systems Thinking.
                                • -
                                • Model risk management.
                                • -
                                • Data visualization.
                                • -
                                • Data wrangling.
                                • -
                                • Data preprocessing.
                                • -
                                • Critical thinking.
                                • -
                                • Driving Results.
                                • -
                                -

                                Intermediate level of proficiency:

                                -
                                  -
                                • Quantitative financial modeling.
                                • -
                                • SAS, Python.
                                • -
                                • Computational thinking and programming.
                                • -
                                • Verbal & written communication skills.
                                • -
                                • Collaboration & team skills.
                                • -
                                • Analytical and problem solving skills.
                                • -
                                • Data driven decision making.
                                • -
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • Technical proficiency gained through education and/or business experience.
                                • -
                                -
                                -

                                -

                                Salary:

                                -
                                $65,400.00 - $121,800.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Risk-Modeling-and-Analytics_R240026465?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-17T08:23:03.218Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/345756900-senior-analyst-risk-modeling-and-analytics-at-bmo-financial-group,,expired,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -46d372f3-ee8a-4716-91da-29dcec8f7f51,345756902,BMO Financial Group,"BMO Capital Markets, Data & Reporting Analyst (Winter 2025)",on_site,"Ontario, Canada",2024-10-10T08:18:03.949Z,"
                                -

                                Application Deadline:

                                10/14/2024

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                BMO Capital Markets

                                -

                                BMO Capital Markets is a leading, full-service North American-based financial services provider offering equity and debt underwriting, corporate lending and project financing, merger and acquisitions advisory services, securitization, treasury management, market risk management, debt and equity research and institutional sales and trading. BMO Capital Markets has over 2,800 professionals in 35 locations around the world, including 23 offices in North America.

                                -

                                -

                                BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$924 billion total assets and approximately 57,000 employees as of April 30, 2023.

                                -

                                -
                                Description
                                -
                                -

                                BMO Capital Markets’ Office of the COO is currently looking for co-op students to support our Data and Analytics Strategy Team.

                                -

                                -

                                The student will be responsible for data-science related support for Capital Markets, enhancing the data and analytics capabilities of the organization. The candidates will help deliver specific technical solutions / tools for sharpening a holistic cross-business lens. Focus will be on augmenting critical first line platforms for which exceptional programming and data science skills are required. Tasks include: consolidating internal and external data relevant to core businesses (data engineering, validation, enhancement); creation and development of analytics and predictive models using large datasets; producing visualizations and select dashboards to clearly articulate insights to decisionmakers. The position is suited for bright, hard-working individuals who enjoy working in a dynamic, fast-paced environment with minimal supervision.

                                -

                                -

                                Qualifications:

                                -
                                  -
                                • We are looking for highly motivated individuals who can work well in a team-based environment
                                • -
                                • Currently in undergraduate studies or masters program with a graduation date of Spring 2026 or onwards. -
                                • -
                                • Strong academic record- minimum 3.4 cGPA
                                • -
                                • Co-op candidates having a background in data science and exposure to Finance/Accounting via coursework or prior work experience is a plus
                                • -
                                • Interest-in, and working knowledge of, capital markets and/or treasury concepts
                                • -
                                • Excellent written and verbal communication skills
                                • -
                                • Above average work ethic and motivation
                                • -
                                • Ability to learn quickly and juggle multiple priorities at the same time
                                • -
                                • Excellent interpersonal and communications skills
                                • -
                                • Strong attention to detail, organized, able to work independently
                                • -
                                • Strong programming skills with prior development experience
                                • -
                                • Comfort working with large data sets; ability to manipulate, conduct analysis, and come to logical conclusions. Be able to communicate and present to the team
                                • -
                                • Solid documentation habits, bias towards explainability
                                • -
                                • Capable of building long-term enterprise implementations vs. academic one-offs
                                • -
                                -

                                -

                                Technical Qualifications:

                                -
                                  -
                                • Web Application Development (C#, ASP .NET, MVC, Web API)
                                • -
                                • Database design and T-SQL for writing queries
                                • -
                                • Candidates must have advanced technical capabilities in Excel, Python, VBA, Java, and SQL.
                                • -
                                • Front-end UI development (HTML, CSS, JavaScript, TypeScript, React)
                                • -
                                • MS Excel
                                • -
                                • Solid understanding of statistical concepts
                                • -
                                -

                                -
                                -

                                Team Overview:

                                -

                                The Business & Client Analytics team is responsible for generating client information for LOBs across BMO Capital Markets to track core clients and grow share of wallet.

                                -
                                  -
                                • Develop and integrate internal and external sources of client information

                                • -
                                • Provide insight and analysis that can be effectively and efficiently mined to support business decision-making

                                • -
                                -

                                -

                                Client Services and Reporting – Weighting: 50%

                                -
                                  -
                                • Develop and implement new reporting for Investment and Corporate Banking and Global Markets

                                • -
                                • Utilize technical skills to efficiently and effectively extract and manipulate data from client databases or other source systems to meet various reporting needs (e.g. weekly, monthly, quarterly, and ad hoc reports)

                                • -
                                • Manage client expectations, and meet agreed upon deadlines; produce work that is timely and accurate. Strive to provide great customer service and anticipate follow-up inquiries

                                • -
                                • Question the integrity of data; delve into data issues raised and work with team members to fix at the source considering the implication on any other data that would be similarly impacted

                                • -
                                • Participate in and contribute to project and team meetings, interacting and collaborating with team members and other departments, as appropriate, in order to understand project requirements

                                • -
                                -

                                -

                                Analytical Insights and Observations – Weighting: 30%

                                -
                                  -
                                • Learn and implement advanced analytics to help resolve priority business problems

                                • -
                                • Utilize knowledge of CM’s businesses, products, and risk measures to provide insight and analysis in support of LOB performance and strategic objectives

                                • -
                                • Perform detailed financial and business analysis as necessary to support Capital Markets

                                • -
                                -

                                -

                                Process Efficiencies – Weighting: 20%

                                -
                                  -
                                • Leverage existing reports and business metrics reported where possible to minimize unnecessary work

                                • -
                                • Assess current practice of generating reports and introduce process efficiencies / automation in database and reporting

                                • -
                                -

                                -

                                How to Apply:

                                -

                                For your application to be eligible for consideration, you must apply to both your career center posting and the BMO application link.

                                -

                                -

                                Please ensure the following items are submitted in your application:

                                -
                                  -
                                • Resume

                                • -
                                • Transcript (Required for application consideration - please upload it in the resume section when applying in BMO’s Workday application system)

                                • -
                                -

                                -

                                -

                                The campus job description above aligns to the full time job description below.

                                -

                                Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                -
                                  -
                                • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                • -
                                • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                                • -
                                • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                • -
                                • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                • -
                                • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                • -
                                • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                • -
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • -
                                • Focus may be on a business/group.
                                • -
                                • Thinks creatively and proposes new solutions.
                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • -
                                • Works mostly independently.
                                • -
                                • Broader work or accountabilities may be assigned as needed.
                                • -
                                -

                                -

                                Qualifications:

                                -

                                Foundational level of proficiency:

                                -
                                  -
                                • Technical design optimization.
                                • -
                                • Decision Making.
                                • -
                                • Systems Thinking.
                                • -
                                • Data visualization.
                                • -
                                • Data storytelling.
                                • -
                                • Data mining.
                                • -
                                • Illustration.
                                • -
                                • Creative thinking.
                                • -
                                • Problem Solving.
                                • -
                                • Insights design.
                                • -
                                • Insights development and reporting.
                                • -
                                • Verbal & written communication skills.
                                • -
                                • Collaboration & team skills.
                                • -
                                • Analytical and problem solving skills.
                                • -
                                • Typically between 3 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • Specialized knowledge from education and/or business experience.
                                • -
                                -

                                Please note the salary for this specific position is $60,000 CAD.

                                -
                                -

                                -

                                Salary:

                                -
                                $44,500.00 - $82,500.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/BMO-Capital-Markets--Data---Reporting-Analyst--Winter-2025-_R240023351?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2024-10-17T08:23:03.218Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/345756902-bmo-capital-markets-data-reporting-analyst-winter-2025-at-bmo-financial-group,,expired,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f494e535-b8b9-409c-a877-bdee0a016abf,344972397,KPMG,"Senior Manager/ Director, Microsoft Azure Data and AI Lead",on_site,"Toronto, Canada",2024-10-04T16:35:02.675Z,"Overview

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

                                Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

                                We are seeking a National Lead to spearhead our Azure Data & AI initiatives within our Microsoft – Enterprise Solutions practice. This role is pivotal in driving solution opportunity revenue and market share by capitalizing on Microsoft’s growing suite of Data & AI solutions to address our customers’ needs in data modernization, analytics, and AI solutions. As the national lead, you will play a crucial role in the adoption and growth of Microsoft’s Data & AI solutions, working closely with customers, partners, and internal teams to deliver cutting-edge data and AI solutions.


                                What you will do

                                  -
                                • Lead, develop, and manage a team of Azure Data & AI specialists while working hands-on with the team and creating deliverables.
                                • -
                                • Engage directly with senior leadership at customers, partners and within KPMG to drive the adoption of Azure Data & AI solutions, expanding the Microsoft Data & AI footprint within customer organizations, determining pursuit strategies and develop client messaging plans and relationships, applying industry-leading Cloud transformation strategies and practices.
                                • -
                                • Position offering and cross-offerings with local partners as you develop strong beneficial relationships and ensure Azure data solutions are considered as part of proposed solutions with clients, from origination and crafting solutions through proposal.
                                • -
                                • Creating solutions to complex technology business problems/opportunities using in-depth knowledge of client-buyer needs.
                                • -
                                • Demonstrate exceptional sales acumen, with a proven ability to identify opportunities, nurture client relationships, and close deals.
                                • -
                                • Serve as a thought-leader in the Data & AI domain, spearhead speaking engagements, and illuminating industry-specific best practices and emerging technical trends.
                                • -
                                • Collaborate with internal teams, partners, and services to propose or develop solutions that align with customer needs and Microsoft priorities.
                                • -
                                • Maintain relationships with Microsoft alliance engineering and product teams to gain access to and provide early feedback on releases, test and document, and demonstration of new features.
                                • -
                                • Analyze market trends to identify opportunities for new solutions in the Data & AI space.
                                • -
                                • Translate complex technology concepts into tangible business value for customer C-level executives and build business cases that quantify customer value.
                                • -

                                What you bring to the role

                                  -
                                • 10+ years of hands-on experience in the Data & AI field, with a proven track record of leadership and effective team collaboration, architecting and/or delivering traditional and Azure based Cloud data solutions for clients, with measurable results in a consultancy or professional services firm.
                                • -
                                • Experience interacting with senior leadership levels at client organizations, determining go to market strategies and developing client messaging plans and relationships
                                • -
                                • A strong technical foundation, with a good understanding of data concepts, cloud architectural patterns leveraging managed Data & AI services or platform-as-a-service offerings
                                • -
                                • Prior experience in Consulting/Solution delivery with data solutions including cloud-based Data Warehouse, Azure, Fabric, Databricks, Hadoop, Spark, Data Lake, SQL solutions, Power BI, OpenAI, ADLS
                                • -
                                • A good understanding of the current state of the art solutions in Analytics, Data Warehouses, AI, including trends and what the competition is doing in those areas.
                                • -
                                • Extensive experience originating and closing deals in the professional services space specifically focused on Microsoft Cloud based Data & AI Solutions
                                • -
                                • Strong communication, presentation, and client-facing skills, with a proven track record of communicating with non-technical business users by articulating complex concepts to cross functional audiences
                                • -
                                • Ability to work collaboratively with clients and internal teams to deliver high-quality solutions.
                                • -
                                • Commitment to continuous learning and staying up to date with the latest technologies and industry trends.
                                • -
                                • A university degree, preferably in computer science, Information Technology, Engineering, Business Administration, or other relevant field.

                                • -

                                Providing you with the support you need to be at your best

                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                Our Values, The KPMG Way

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                Adjustments and accommodations throughout the recruitment process

                                At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                For information about accessible employment at KPMG, please visit our accessibility page.

                                ",,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/344972397-senior-manager-director-microsoft-azure-data-and-ai-lead-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,expired,2024-10-04T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -069251bb-4d5c-4f93-9629-f6ca1c34a307,342371012,CentML,Software Engineer - Platform,hybrid,"Toronto, ON, Canada",2024-09-16T17:55:28.538Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                Overview:
                                We are seeking highly motivated and skilled systems engineers to join our team to help in developing the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models. As a systems engineer, you will play a crucial role in building a unified solution that brings our innovative in-house technologies such as Hidet compiler, DeepView, and other ML optimizations into a single, cohesive platform. Your expertise will drive the scalability, performance, and reliability of the platform, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer.

                                -

                                -

                                Responsibilities:

                                -
                                    -
                                  • Taking part in the design and development of the CentML platform.
                                  • -
                                  • Designing and building solutions for scheduling large scale ML training and inference workloads on GPU clusters over multiple CSPs.
                                  • -
                                  • Communicate with our product teams and define use cases, and develop methodology & benchmarks to evaluate different approaches.
                                  • -
                                -

                                Qualifications:

                                -
                                    -
                                  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Graduate degree with research experience is a plus.
                                  • -
                                  • Experience building large scale systems from scratch. Prior experience in container-based deployment systems like Kubernetes is a big plus.
                                  • -
                                  • Strong coding skills (in at least one of Python and C++).
                                  • -
                                  • Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc.
                                  • -
                                -

                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/44251491-b6d7-4bd1-aaf2-5fa29e378380,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:55:34.582Z,False,0,6,51,https://talenthub.vectorinstitute.ai/jobs/342371012-software-engineer-platform-at-centml,,expired,2024-09-16T17:55:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, -b37e996c-0c16-4507-b1bf-f3b4962e66fd,342371027,CentML,Senior Software Engineer - LLM Inference,hybrid,"Toronto, ON, Canada",2024-09-16T17:56:57.020Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                About the Position:
                                As a member of the LLM inference team, you will help build state-of-the-art software with the goal of enabling LLM inference to become more efficient, scalable, and accessible. Are you interested in architecting and implementing the best inference stacks in the LLM world? Work and collaborate with a diverse set of teams involving resource orchestration, distributed systems, inference engine optimization, and writing high-performance GPU kernels.
                                Come join our team and contribute towards democratizing Machine Learning for the world!

                                -

                                -

                                Responsibilities:

                                -
                                    -
                                  • Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software.
                                  • -
                                  • Perform benchmarking, profiling, and system-level programming for GPU applications.
                                  • -
                                  • Provide code reviews, design docs, and tutorials to facilitate collaboration among the team.
                                  • -
                                  • Conduct unit tests and performance tests for different stages of the inference pipeline.
                                  • -
                                -

                                Who you are:

                                -
                                    -
                                  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
                                  • -
                                  • Strong coding skills in Python and C/C++.
                                  • -
                                  • 5+ years of industry experience in software engineering.
                                  • -
                                  • Knowledgeable and passionate about machine learning and performance engineering.
                                  • -
                                -

                                Nice to haves:

                                -
                                    -
                                  • Solid fundamentals in machine learning and deep learning.
                                  • -
                                  • Solid fundamentals in operating systems, computer architecture, and parallel programming.
                                  • -
                                  • Research experience in systems or machine learning.
                                  • -
                                  • Industry experience in building enterprise-scale large distributed systems.
                                  • -
                                  • Experience with training, deploying, or optimizing the inference of LLMs in production is a plus.
                                  • -
                                  • Experience with performance modeling, profiling, debugging, and code optimization or architectural knowledge of CPU and GPU is a plus.
                                  • -
                                -

                                We strongly encourage you to include sample projects (e.g. Github) that demonstrate the qualifications above.
                                For recent graduates, you can optionally submit your unofficial transcripts.
                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/8da402e6-b563-41dc-939d-5753b7b809c9,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:57:04.635Z,False,0,8,43,https://talenthub.vectorinstitute.ai/jobs/342371027-senior-software-engineer-llm-inference-at-centml,,expired,2024-09-16T17:56:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Mid-Senior Level,Bachelors Degree,New Posting, -d833bea6-036d-4915-ae7e-20dcc1409aba,342353631,Accenture,Data &AI Senior Manager,on_site,"Toronto, ON, Canada",2024-09-16T12:37:02.262Z,"
                                -

                                Job Description

                                -
                                -

                                We Are:

                                -

                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us : Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

                                -

                                -

                                You Are:

                                -

                                A thought leader and an expert in the field of Data &Analytics, who can connect and advise senior clients leveraging your storytelling skills and strong data driven mindset. As a Data & AI leader, you will coach our up-and-coming leaders and help develop their careers, in addition to guiding our diverse multi-disciplinary workforces, on a day-to-day basis on solving our client’s data challenges.

                                -

                                As a Data &AI Senior Manager, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas through business insight to usher in data driven reinvention and make data governance a part of their organisation culture.  You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape, in keeping with client industry and global economic, technology and social trends.

                                -

                                -

                                What you’ll be doing:

                                -

                                -
                                • Oversee and mentor a team of data consultants, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions.
                                -
                                • Design and implement robust, scalable, and secure data architectures on cloud platforms like AWS, Azure, or Google Cloud. Drive the adoption of best practices in data management, including ETL/ELT processes, data warehousing, and data modeling.
                                -
                                • Leading diverse delivery, teams working with clients on a day-to-day basis
                                -
                                • Collaborate with senior leadership and stakeholders to define and execute the client organisations’ data strategy, aligning data initiatives with overall business objectives.
                                -
                                • Lead the development of data products and solutions that provide actionable insights and drive business growth.
                                -
                                • Implement and enforce data governance frameworks, ensuring data accuracy, consistency and accessibility. Champion data quality initiatives and ensure compliance with relevant regulations and standards.
                                -
                                • Continuously evaluate and optimize the performance of data infrastructure, identifying opportunities for cost reduction, efficiency improvements, and innovation. Lead efforts to modernize legacy systems and integrate new technologies.
                                -
                                • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture’s highest quality standards.
                                -
                                • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.
                                show more show less
                                -
                                -
                                -

                                Qualifications

                                -
                                -
                                -

                                Here’s what you need:

                                -
                                • A bachelor’s degree in computer science, Information Systems, or a related field.
                                • A minimum of 8-10 years of experience in data solutions, with at least 3-5 years in a leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.
                                • -
                                -
                                • Deep understanding of data architecture, ETL/ELT processes, data warehousing, and data modeling. Proficiency in programming languages such as Python, SQL, and Scala, as well as experience with big data technologies like Hadoop, Spark, and Kafka.
                                • -
                                -
                                • Hands-on experience with cloud-based data services and tools, including data lakes, data pipelines, and real-time data processing.
                                • -
                                -
                                • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.
                                • -
                                -
                                • Ability to translate business objectives into a clear data strategy. Experience in driving data initiatives that align with organizational goals and deliver measurable business value.
                                • -
                                -
                                • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.
                                • -
                                -
                                • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.
                                • -
                                -
                                • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.
                                • -
                                -
                                • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field.
                                • -
                                -
                                • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                • -
                                -

                                -

                                Bonus points if:

                                -
                                • Previous experience within the consulting industry.
                                • -
                                -
                                • Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
                                • -
                                -
                                • Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g. Informatica IDMC/ IICS), MySQL/NoSQL, CQRS Event Sourcing
                                • -
                                -
                                • A master’s or Ph.D. in Data Science, Computer Science, or a related field, with a focus on big data or cloud computing.
                                • -
                                -
                                • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements.
                                • -
                                -
                                • Relevant certifications in solution architecture or data governance
                                • -
                                -

                                -

                                -

                                #LI-NA

                                -

                                -

                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                -

                                Information on benefits is here.

                                -

                                Role Location Annual Salary Range

                                -

                                British Columbia $117,200 to $272,600

                                -

                                -
                                -

                                Locations

                                -
                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                -
                                -
                                -

                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                -
                                -

                                Our Commitment to Inclusion & Diversity

                                -

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                -

                                Other Employment Statements

                                -

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                -

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                -
                                -
                                Share
                                -
                                Share
                                -
                                Job Link:
                                Copy
                                -
                                -
                                -
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236464_en&title=Data%20%26AI%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-16T19:13:55.027Z,False,0,4,37,https://talenthub.vectorinstitute.ai/jobs/342353631-data-ai-senior-manager-at-accenture,,expired,2024-09-16T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -afd2d998-86e0-4672-8994-d76c25f49b26,342372270,DNAstack,Senior Engineering Manager,full,"Toronto, ON, Canada",2024-09-16T18:31:05.314Z,"

                                Mission

                                -

                                DNAstack's mission is to accelerate precision medicine and research by developing and providing innovative software solutions for genomics and multi-omics data. We aim to make complex biomedical data more accessible, interoperable, and actionable, thereby empowering researchers, clinicians, and institutions to derive meaningful insights and improve health outcomes. DNAstack is dedicated to advancing scientific discovery through collaboration, cutting-edge technology, and a commitment to privacy and data security.

                                -

                                As a Senior Engineering Manager, you will lead and mentor a talented team of engineers, driving innovation and excellence in our product development. This role offers a flexible hybrid work environment, allowing you to seamlessly balance remote work with essential in-office collaboration.

                                -

                                Where You’ll Work

                                -

                                This role offers the flexibility of a hybrid work environment, allowing for both remote and in-office work in Toronto to accommodate your needs and ensure a healthy work-life balance.

                                -

                                Responsibilities

                                -
                                  -
                                • Lead and manage the engineering team to deliver high-quality software solutions aligned with DNAstack's strategic goals.
                                • -
                                • Collaborate with product management to define and manage the engineering roadmap, ensuring alignment with business objectives and customer needs.
                                • -
                                • Foster a culture of innovation, continuous improvement, and engineering excellence within the team.
                                • -
                                • Ensure robust and scalable architecture and design of the platform, adhering to best practices in software engineering.
                                • -
                                • Proactively identify and resolve technical issues that may impede the organization’s ability to achieve its goals.
                                • -
                                • Utilize data and analytics to guide decision-making processes and optimize engineering performance.
                                • -
                                -

                                Outcomes

                                -
                                  -
                                • Development and execution of a strategic engineering plan that aligns with DNAstack’s business goals and drives the evolution of the platform.
                                • -
                                • Achievement of high standards in software quality, reliability, and performance through effective management of engineering practices and processes.
                                • -
                                • A cohesive and motivated engineering team, demonstrated by high levels of engagement, productivity, and retention.
                                • -
                                • Continuous delivery of innovative features and enhancements that meet or exceed customer expectations.
                                • -
                                • A clear vision and roadmap for the engineering team’s growth and development, ensuring the team is well-equipped to meet future challenges.
                                • -
                                -

                                Candidate Qualities/Competencies

                                -
                                  -
                                • Strong leadership and people management skills, with the ability to inspire and guide a diverse engineering team.
                                • -
                                • Excellent problem-solving and analytical abilities, with a focus on driving results.
                                • -
                                • Superior communication skills, capable of effectively conveying complex technical concepts to non-technical stakeholders.
                                • -
                                • Demonstrated ability to foster a collaborative and inclusive team environment.
                                • -
                                • Proactive and adaptable, with a commitment to continuous learning and improvement.
                                • -
                                -

                                Ideal Experience

                                -
                                  -
                                • 8+ years of experience in software engineering, with a minimum of 3 years in a management role.
                                • -
                                • Proven track record of leading and managing engineering teams in an enterprise SaaS platform environment.
                                • -
                                • Deep understanding of Agile and Lean software development methodologies.
                                • -
                                • Extensive experience with modern software development practices, including CI/CD, automated testing, and cloud-native architectures.
                                • -
                                • Strong background in designing and building scalable, high-performance systems.
                                • -
                                • Exceptional technical acumen, with the ability to make informed decisions about architecture and design.
                                • -
                                • Prior experience in a senior engineering role at a technology company, with a focus on health tech or a related field being a plus.
                                • -
                                -

                                ",,https://dnastack.applytojob.com/apply/90igLuNvpx/Senior-Engineering-Manager?source=careerspage,info@dnastack.com,https://www.dnastack.com/,,,2024-10-16T18:31:49.850Z,False,0,7,56,https://talenthub.vectorinstitute.ai/jobs/342372270-senior-engineering-manager-at-dnastack,,expired,2024-09-16T18:31:00.000Z,admin,Scaling (20-499),Application Click Through,"Health, Technology (Product Development)",Senior Level,Bachelors Degree,New Posting, -ee17b15b-b668-4fcb-8803-674faa5909c3,342644689,CentML,Senior Software Engineer - Compiler,on_site,"Toronto, ON, Canada",2024-09-18T22:57:22.916Z,"

                                About Us

                                -

                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                -

                                Overview:

                                -

                                Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

                                -

                                Responsibilities:

                                -
                                    -
                                  • Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems (e.g., slow kernels).
                                  • -
                                  • Figure out where the bottleneck of the slow GPU kernels with profilers
                                  • -
                                  • Optimize the GPU kernels.
                                  • -
                                  • Write tests and benchmarks to validate and evaluate our solutions.
                                  • -
                                -

                                Who you are:

                                -
                                    -
                                  • Bachelors or higher degree in Computer Science or Engineering.
                                  • -
                                  • Excellent communication skills and the ability to work in a team.
                                  • -
                                  • Strong coding skills (in at least one of Python and C++).
                                  • -
                                  • Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc.
                                  • -
                                  • Strong academic records for candidates with bachelor’s degrees.
                                  • -
                                -

                                You will stand out from the crowd if you have:

                                -
                                    -
                                  • 5+ years of experience in researching or contributing to HPC/ML/DL systems, frameworks or libraries (including the time of being a graduate student).
                                  • -
                                  • Experience with GPU architecture and GPGPU programming:
                                  • -
                                  • NVIDIA GPUs: CUDA programming and libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.);
                                  • -
                                  • AMD GPUs: ROCm and its related libraries and toolkits.
                                  • -
                                  • OpenCL
                                  • -
                                  • Experience with developing high-performance kernels for CPUs.
                                  • -
                                  • Experience in developing ML or traditional compilers.
                                  • -
                                  • Experience with TPU.
                                  • -
                                  • Strong publication records in top HPC/ML/DL or computer system and architecture venues.
                                  • -
                                -

                                Benefits & Perks

                                -

                                An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

                                -

                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/0237e220-275b-4349-afc5-230379bdc124,aitalent@vectorinstitute.ai,https://centml.ai/,,,2024-10-18T22:57:26.388Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/342644689-senior-software-engineer-compiler-at-centml,,expired,2024-09-18T22:57:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Senior Level,Bachelors Degree,New Posting, -2cd072cd-bfbb-4499-9c80-95efbcf9c5d3,342710068,BMO Financial Group,"Senior Campaign Data Analyst, Campaign Analytics & Execution",on_site,"Ontario, Canada",2024-09-19T12:06:01.517Z,"
                                -

                                Application Deadline:

                                10/30/2024

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                We are looking for a talented individual to join our team in the position of Senior Campaign Data Analyst, Campaign Analytics & Execution. This individual will be responsible for Campaign Analytics supporting all Wealth businesses.

                                -

                                -

                                The role will sit on the Wealth Digital, Data & Analytics team. The individual will support the new Wealth Leads optimization project to improve efficiency on current process and generate incremental revenue for Wealth. This individual will also support with sizing, execution, channel loading, performance tracking for multiple wealth campaigns. This individual will drive insights to existing campaigns and will be responsible for developing and supporting the creation of new dashboards for existing and new campaigns. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and implement analytics/machine learning solutions to senior leadership.

                                -

                                -

                                Key Accountabilities:

                                -
                                  -
                                • Be proactive supporting all Wealth businesses. Think strategically and work independently with minimal supervision.

                                • -
                                • Improve and automate process using a variety of tools to drive operational efficiency.

                                • -
                                • Research, design and implement campaign reporting infrastructure that leads to automated and flexible reporting.

                                • -
                                • Work with internal clients and diverse stakeholders to understand their business objectives, scope and KPIs and translate them into actionable campaigns projects.

                                • -
                                • Produce dashboards, reports, analysis, insights that drive decisions and help us build better campaigns and experiences.

                                • -
                                • Manage and enhance daily/weekly/monthly campaign reporting to provide results and context to deliver actionable insights to senior management, not just reporting data

                                • -
                                • Manage, prioritize, and respond to ad-hoc requests.

                                • -
                                • Take the lead on campaign performance measurement and increasing productivity of all marketing initiatives

                                • -
                                -

                                -

                                Qualifications:

                                -
                                  -
                                • Minimum 2 years of proficient work experiences in the Financial industry and Consumer Campaign Management & Execution data analysis

                                • -
                                • Demonstrated proficiency in working with large varied datasets, both structured and unstructured data, using SAS. Other assets - proficiency in AWS, GCP, SQL, R, Python, Tableau, Power BI and Spotfire

                                • -
                                • Post-Secondary education in Business Analytics, Math, Computer Science, Statistics, Actuarial Science, or Business

                                • -
                                • Good verbal and written communication skills; able to effectively present analytics data to business users at the Manager / Senior Manager level

                                • -
                                • Experience in running campaigns through design, execution and performance tracking

                                • -
                                • A strong passion for data, charts, analysis, trends, and evangelizing data usage

                                • -
                                • Knowledge of BMO wealth products and understanding of current market trends are assets

                                • -
                                • Self-starter & strong relationship building skills. Ability to thrive on a high-degree of independence and ownership

                                • -
                                • Experience in machine learning/deep learning algorithms are assets

                                • -
                                -

                                -

                                -
                                -

                                -

                                Salary:

                                -
                                $54,500.00 - $101,500.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst--Campaign-Analytics---Execution_R240022495?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-19T15:10:43.618Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/342710068-senior-campaign-data-analyst-campaign-analytics-execution-at-bmo-financial-group,,expired,2024-09-19T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +caeae9a3-ee77-4409-a35d-7bbebb3ec77d,249489421,Bell Canada,Senior Data Scientist,on_site,"Toronto, Ontario",2023-07-21T19:22:03.937Z,"

                                Req Id: 409221

                                +

                                +

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                +

                                +

                                If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                +

                                +
                                +
                                +

                                +
                                +
                                +

                                Bell’s Business Intelligence team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing & contact strategy opportunities and provide insight to drive optimal business decisions. We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization This i a terrific opportunity for seasoned professional to help transform the organization in driving out one of the most significant strategic mandates within Bell. As part of this team, you will have opportunities to use your data science skills and leadership skills to shape the next generation of AI/ML to truly transform how Bell operates.

                                +


                                Key responsibilities may include:
                                • Lead the development of machine learning products and models from inception to production
                                • Collaborate with cross functional, agile teams of data engineers, ML experts, and project managers in solving business problems
                                • Apply your experience to drive best practices in ML, data engineering, and production architecture
                                • Build, automate, and maintain machine learning pipelines for training machine learning models on distributed systems
                                • Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
                                • Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.

                                +


                                Critical Qualifications/Competencies:
                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area

                                +

                                5+ years of experience working with ML models as a Data Scientist, 2+ years as a senior/lead handling end to end projects and managing a team.

                                +

                                Algorithms:
                                • Advanced knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                                • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
                                • Experience with development and deployment of recommender systems
                                • Stay abreast of new technology and techniques in the ML/AI space
                                Coding:
                                • Advanced Python development skills
                                • Excellent code design (OOP, Algorithms, and Data Structures)
                                • Experience with CI/CD pipelines
                                Data:
                                • Experience with SQL and database systems such as Oracle, SQL Server, Teradata
                                • Experience with distributed data and computational resources such as Hadoop, HDFS in general, Docker, Dask
                                • Hands-on experience defining and operationalizing ML models into operational systems
                                • Skilled communicator with a proven record of leading projects across disciplines
                                • Quick learner with ability to think out of the box

                                +
                                +
                                +

                                +

                                #EmployeeReferralProgram

                                +

                                +

                                Adequate knowledge of French is required for positions in Quebec.

                                +

                                +

                                Additional Information:

                                +

                                Position Type: Management
                                Job Status:
                                Regular - Full Time
                                Job Location:
                                Canada : Ontario : Toronto
                                Flexible work profile :
                                Mobile
                                Application Deadline: 08/04/2023

                                +

                                +

                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                +

                                +

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                +

                                +

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                +

                                +

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +

                                +

                                Created: Canada, ON, Toronto

                                +

                                #Talent #Indeed #Tech

                                +

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA409221EXTERNALENCA/Senior-Data-Scientist?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-08-05T19:27:02.799Z,False,0,10,33,https://talenthub.vectorinstitute.ai/jobs/249489421-senior-data-scientist-at-bell-canada,BECACA409221EXTERNALENCA,expired,2023-07-21T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +51e0389c-16b9-48b7-8376-dcc761f27082,250794609,CIBC,"Consultant, Business Analytics",on_site,"Ontario, Canada",2023-07-25T01:41:01.565Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                Job Description

                                +

                                +

                                What you\'ll be doing

                                +

                                +

                                As a member of CIBC’s team, the Consultant, Business Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The Consultant, Business Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

                                +

                                +

                                At CIBC, we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                Details on your work arrangement will be discussed at the time of your interview.

                                +

                                +

                                How you\'ll succeed

                                +
                                  +
                                • Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.

                                • +
                                • Strategic Thinking Approach – Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.

                                • +
                                • Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.

                                • +
                                • Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.

                                • +
                                • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.

                                • +
                                +

                                +

                                Who you are

                                +
                                  +
                                • You can demonstrate experience with: programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).

                                • +
                                • You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).

                                • +
                                • You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.

                                • +
                                • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.

                                • +
                                • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.

                                • +
                                • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                • +
                                • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business

                                • +
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • +
                                +

                                +

                                What CIBC offers

                                +

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                +
                                  +
                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and moment makers, our social, points-based recognition program

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to build innovative solutions that make a difference for our clients

                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like purpose day; a paid day off dedicated for you to use to invest in your growth and development

                                • +
                                +

                                +

                                What you need to know

                                +
                                  +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • +
                                +

                                +

                                +

                                +

                                +

                                +

                                Job Location

                                Toronto-81 Bay, 25th Floor

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                Skills

                                +

                                Alteryx, Business Analytics, Communication, Dashboard Reporting, Data Analytics, Leadership, SAS System, Structured Query Language (SQL), Tableau
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Business-Analytics_2311938?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-08-08T16:11:00.000Z,False,0,13,39,https://talenthub.vectorinstitute.ai/jobs/250794609-consultant-business-analytics-at-cibc,,expired,2023-07-25T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d2d2574a-cb07-4b81-87c2-271e55f05990,251859677,Scotiabank,Manager Strategy and Data Scientist,on_site,Canada : Ontario : Toronto,2023-07-27T15:52:02.043Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 181912

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job:

                                +

                                Working within Global Risk Management, you will leverage your strong background in data analytics to produce analysis resulting in actionable insights that improve the Bank’s loan losses & profitability.

                                +

                                +

                                Job Responsibilities:

                                +

                                Leverage your strong analytical background in order to collaborate with various business partners to:

                                +
                                • Manage collections analytics, performance monitoring and strategy evaluation routines
                                • Deliver on analytical projects that provide actionable insights to improve collection efforts and recoveries
                                • Develop statistical segmentations to forecast customer payment behaviour
                                • Design and implement policies to help our customers in need of loan modification programs
                                • Recommend improvements to outsourcing strategies
                                • Provide oversight of collection efforts by developing performance reports and early warning triggers
                                • +
                                +

                                +

                                Job Requirements:

                                +
                                • Strong collaboration and communication skills
                                • Strong background in statistical & quantitative analysis
                                • Three years of relevant experience in credit risk or portfolio management
                                • Experience with statistical software packages such as R or SAS
                                • Experience manipulating large and complex databases
                                • Experience with TRIAD or similar collections risk platforms is strongly desired
                                • Experience with using and/or developing credit risk scores and their application in strategies
                                • A results-driven individual with a high level of curiosity and the ability to dive into details without losing sight of the big picture
                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                • A Bachelor's degree in Economics, Finance, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Strategy-and-Data-Scientist-ON-M5H1H1/572548217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-10T15:57:04.238Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/251859677-manager-strategy-and-data-scientist-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Strategy-and-Data-Scientist-ON-M5H1H1/572548217/,expired,2023-07-27T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +3632ba93-8e2f-47ef-9fb9-d9e914d7fb8f,259603596,RBC,"Supervisor, Data Service Delivery",on_site,"Toronto, ON, Canada",2023-08-15T02:16:02.270Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Supervisor, Data Service Delivery

                                +

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                RBC Investor & Treasury Services Malaysia is a processing center of operational excellence supporting 10 countries across three geographical time zones. Malaysia is one of two operational processing hubs that supports Custody - Transaction Management; Settlements; NAV Production; Fund Reporting; Shareholder Services; Global Fund Platform Services; Data Service Delivery; Entitlements – income and corporate actions and Reconciliations. The country employs a Global Operating Model to maximise efficiencies across times zones and supports a 24/5 operational capability. The objectives for Malaysia are to enhance the scalability of our global operations, improve service quality via our ‘centres of excellence’ and to implement/leverage standard processes globally.

                                +

                                +

                                This role will be responsible for day to day processing of Portfolio Securities Valuation for Fund Administered under various platforms (12 Entities of the Group) Including: CPS Pricing L1/L2 – FX & Interest Rates L1/L2 – Stale Price Analysis L1 – Customer Support L1/L2 – EUCs Update and Daily Maintenance L1/L2 – CPS Parameterization L3 (Day to Day) – (*L1:Maker / L2: Reviewer / L3: Super User Access)

                                +

                                +

                                You will be supporting Europe (LUX/UK) business, working on shift hours of 4:00pm – 1:00am.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Promote quality of deliverables by motivating, coaching and developing team members
                                • +
                                • Ensure cross training and rotation of duties occurs on a regular basis to increase operational efficiency and reduce operational risk
                                • +
                                • Ensure all operational issues are treated in a timely and effective manner
                                • +
                                • Maintain an in depth knowledge of BCP procedures, policies and plans
                                • +
                                • Ensure compliance with and completion of code of conduct / RBC I&TS compliance manual / control self-assessment
                                • +
                                • Provide and maintain indicators to the management (KPI / KQI)
                                • +
                                • Ensure effective logging and resolution of enquiries and liaise with appropriate parties to resolve / escalate queries / problems within agreed timescales in coordination with the Global Securities Pricing Expertise Center (LUX)
                                • +
                                +

                                +

                                What do you need to succeed?

                                +

                                Must-have

                                +
                                  +
                                • Sound technical and financial knowledge on reference data
                                • +
                                • Knowledge of different investment instrument types
                                • +
                                • Willing to work on local MY holidays and follow Europe holidays
                                • +
                                • Flexibility in working hours/ shifts in Europe time zone.
                                • +
                                +

                                +

                                Nice-to-have

                                +
                                  +
                                • Flexibility in working hours.
                                • +
                                • Experience in Excel VBA.
                                • +
                                +

                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • A comprehensive Total Rewards Program including performance based bonuses, flexible benefits, and competitive compensation
                                • +
                                • Leaders who support your development through coaching and managing opportunities
                                • +
                                • A world-class training program in financial services
                                • +
                                • A collaborative dynamic culture where personal initiative and hard work are recognized and rewarded
                                • +
                                +

                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                Cyberjaya, Selangor, Malaysia

                                City:

                                MYS-SELANGOR-CYBERJAYA

                                Country:

                                Malaysia

                                Work hours/week:

                                40

                                Employment Type:

                                Full time

                                Platform:

                                Wealth Management

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-06-20

                                Application Deadline:

                                2023-08-31
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000061900/Supervisor-Data-Service-Delivery,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-18T05:07:00.000Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/259603596-supervisor-data-service-delivery-at-rbc,,expired,2023-08-15T02:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +636a9fb9-2d04-449b-a5cb-57584e0e024d,253576968,Scotiabank,"Manager, Business Analytics, Issue Management",on_site,Canada : Ontario : Toronto || Canada : Ontario : Ottawa,2023-07-31T15:52:02.778Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 182350

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The Manager, Business Analytics contributes to the overall success of the Business Control Retail Product Controls & Regulatory Support team ensuring specific individual goals and plans; initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                +

                                The Manager, Business Analytics will be responsible for supporting the Business Control team which includes the Issue Management program, Control Self-Assessment (CSA) and Process Mapping team. Primary accountability includes designing, maintaining and generating user tools and reports. Secondary accountabilities include working directly with the Business Control team for data extraction of moderate to significant complexity of impacted accounts based on approved inclusion/exclusions using various data analytics methodologies to query impacted accounts across all issues.

                                +

                                Is this role right for you? In this role, you will:

                                +

                                +

                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                • Provide database and user tools support:

                                +

                                o Accountable to design and maintain the Issue Management user tools and reports which are leveraged to track and report on all issues impacting Canadian Banking

                                +

                                o Responsible for the design and development of current and new Databases to support Issue Management expansion
                                o Accountable to design and maintain the Control Self-Assessment user tools and reports which are leveraged to gather, track and report on the Control Self-Assessment teams testing progress and results
                                o Accountable to design and maintain the Process Mapping team user tools and reports
                                o Responsible to produce meaningful reporting for each line of business to summarize key data elements and provide a holistic overview of issue inventory. This includes weekly, monthly and quarterly executive updates which can also be broken down by line of business.
                                o Define evergreen schedule for review and releases of reporting / tools updates
                                o Responsible to ensure proper documentation is in place for user tools and reporting

                                +

                                • Provide data extraction support:

                                +

                                o Responsible for implementation of various health checks to support regulatory adherence. Assess what additional health checks can be built to proactively identify issues
                                o Responsible for data extraction of moderate to significant complexity of impacted accounts based on approved inclusion/exclusions using various data analytics methodologies to query impacted accounts across all issues
                                o Database and reporting support for ORE financial impact assessment as well as provide management with trending and analysis of financial impact
                                o This could include assessing financial impact of the remediation plans and reporting via Operational Risk Event (ORE) process as required

                                +

                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                +

                                • Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                +

                                • Champion a high performance environment and contributes to an inclusive work environment.

                                +

                                Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                +

                                • A recognized undergraduate quantitative degree (finance, business, engineering, computer science) or comparable business analysis experience is essential
                                • Strong written and oral communication skills
                                • In depth knowledge of business related computer software specifically Excel, PowerPoint, Access and Word (data import/export, automating tasks)
                                • Expertise to utilize sound judgment in the interpretation of data and instructions
                                • Solid understanding of relational database concepts and experience with database systems (MS Access/SQL Server) (must). Understanding of data warehouse methodology
                                • SQL and VBA/VBS experience (required)
                                • Experience with Excel power query/power pivot, Power bi, Tableau
                                • SAS, Python, Spark experience working with dataframes

                                +

                                +

                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : Ottawa

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analytics%2C-Issue-Management-ON-M5C2W1/572648517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-17T15:57:03.091Z,False,0,5,14,https://talenthub.vectorinstitute.ai/jobs/253576968-manager-business-analytics-issue-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analytics%2C-Issue-Management-ON-M5C2W1/572648517/,expired,2023-07-31T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +574d5bd1-9309-4341-8d53-815e61be7ff0,257989998,BMO Financial Group,Senior Risk Analyst,on_site,"Ontario, Canada",2023-08-11T01:42:05.564Z,"
                                +

                                Application Deadline:

                                08/17/2023

                                +

                                +

                                Address:

                                250 Yonge Street

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                Join our dynamic team as a Senior Risk Analyst, specializing in market risk analysis. In this role, you will play a crucial part in our release testing process and contribute to the enhancement and maintenance of our risk system. The ideal candidate has, at least 1-3 years of relevant experience in market risk, with a specific focus on FRTB (Fundamental Review of Trading Book). Your expertise in risk management metrics, including VAR, stress test, and limit monitoring, will be essential in assessing and mitigating risks.

                                +

                                +

                                As a Senior Risk Analyst, you will collaborate with cross-functional teams- including Market and Counterparty Credit Risk Infrastructure teams, Global Markets Engineering, Risk Oversight, Model Vetting among others, to ensure the accuracy and efficiency of our risk reporting. Additionally, exposure to project management and release testing is highly valued. While CFA or FRM Certifications are nice-to-haves, your practical experience and knowledge in market risk are key to your success in this role.

                                +

                                +

                                This position is located in Toronto. The role offers a dynamic work environment, allowing for flexibility to manage your work activities within a hybrid work arrangement where you will spend at least two days per week onsite, while other days will be remote.

                                +

                                +

                                If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

                                +

                                +

                                +

                                Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                +
                                  +
                                • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.

                                • +
                                • Acts as a resource for team members with less experience

                                • +
                                • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.

                                • +
                                • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

                                • +
                                • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

                                • +
                                • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                                • +
                                • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.

                                • +
                                • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.

                                • +
                                • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                                • +
                                • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

                                • +
                                • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

                                • +
                                • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                                • +
                                • Provides information and supports the process for internal and external audits.

                                • +
                                • Gathers and formats data into regular and ad-hoc reports, and dashboards.

                                • +
                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

                                • +
                                • Builds effective relationships with internal/external stakeholders.

                                • +
                                • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                                • +
                                • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                                • +
                                • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

                                • +
                                • Organizes work information to ensure accuracy and completeness.

                                • +
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                • +
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                • +
                                • Works independently on a range of complex tasks, which may include unique situations.

                                • +
                                • +

                                  Broader work or accountabilities may be assigned as needed.

                                  +

                                  Qualifications:

                                  +
                                • +
                                • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                • +
                                • Knowledge of risk management metrics, KPIs and KRIs.

                                • +
                                • Knowledge of industry trends and regulatory requirements for risk reporting.

                                • +
                                • Product knowledge for the designated business/portfolio.

                                • +
                                • Knowledge of risk management theory, processes and portfolio management reporting techniques.

                                • +
                                • Knowledge of reporting & analytics concepts and applications.

                                • +
                                • Knowledge of risk systems technology.

                                • +
                                • Technical proficiency gained through education and/or business experience.

                                • +
                                • Verbal & written communication skills - In-depth.

                                • +
                                • Collaboration & team skills - In-depth.

                                • +
                                • Analytical and problem solving skills - In-depth.

                                • +
                                • Influence skills - In-depth.

                                • +
                                • Data driven decision making - In-depth.

                                • +
                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst_R230010689-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-18T02:19:54.730Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/257989998-senior-risk-analyst-at-bmo-financial-group,,expired,2023-08-11T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +1c9e3697-f472-47ef-8555-3bb55c7116dc,232857664,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-05T15:47:03.248Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Director Data Strategy and Governance

                                +

                                +

                                Job Description

                                +

                                What is the Opportunity?

                                +

                                RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                                +

                                +

                                Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Develop and drive implementation of the overall Data Strategy for the Business
                                • +
                                • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
                                • +
                                • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
                                • +
                                • +Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
                                • +
                                • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
                                • +
                                • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
                                • +
                                • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
                                • +
                                • Review, understand and challenge the lineage of documented CDEs
                                • +
                                • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
                                • +
                                • Supporting the data requirements for Client Statements
                                • +
                                • Keep up to date with Agile best practices
                                • +
                                • Foster a data-driven culture
                                • +
                                +

                                +

                                +

                                What do you need to succeed?

                                +

                                Must-have

                                +
                                  +
                                • 10+ years experience supporting a data initiative
                                • +
                                • Bachelor degree in Computer Science, Engineering, Technology or related field
                                • +
                                • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
                                • +
                                • Passion for data, and commitment to learn new data capabilities
                                • +
                                • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
                                • +
                                • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
                                • +
                                • Experience with using Jira and Confluence
                                • +
                                • Excellent business communication skills (written and oral).
                                • +
                                • Ability to work independently and possess strong analytical and data problem-solving skills
                                • +
                                • Strong collaboration and relationship management skills
                                • +
                                • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
                                • +
                                +

                                +

                                What\'s in It for You?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
                                • +
                                • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
                                • +
                                • Leaders who support your development
                                • +
                                • A dynamic, collaborative, and high-performing team
                                • +
                                • Opportunities to do challenging work and grow your career
                                • +
                                +

                                Work-life integration

                                +

                                +

                                +

                                Job Summary

                                RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                                Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Capital Markets

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-05-31

                                Application Deadline:

                                +
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-08T15:52:03.113Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/232857664-director-data-strategy-and-governance-at-rbc,,expired,2023-06-05T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +2cd072cd-bfbb-4499-9c80-95efbcf9c5d3,342710068,BMO Financial Group,"Senior Campaign Data Analyst, Campaign Analytics & Execution",on_site,"Ontario, Canada",2024-09-19T12:06:01.517Z,"
                                +

                                Application Deadline:

                                10/30/2024

                                +

                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                We are looking for a talented individual to join our team in the position of Senior Campaign Data Analyst, Campaign Analytics & Execution. This individual will be responsible for Campaign Analytics supporting all Wealth businesses.

                                +

                                +

                                The role will sit on the Wealth Digital, Data & Analytics team. The individual will support the new Wealth Leads optimization project to improve efficiency on current process and generate incremental revenue for Wealth. This individual will also support with sizing, execution, channel loading, performance tracking for multiple wealth campaigns. This individual will drive insights to existing campaigns and will be responsible for developing and supporting the creation of new dashboards for existing and new campaigns. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and implement analytics/machine learning solutions to senior leadership.

                                +

                                +

                                Key Accountabilities:

                                +
                                  +
                                • Be proactive supporting all Wealth businesses. Think strategically and work independently with minimal supervision.

                                • +
                                • Improve and automate process using a variety of tools to drive operational efficiency.

                                • +
                                • Research, design and implement campaign reporting infrastructure that leads to automated and flexible reporting.

                                • +
                                • Work with internal clients and diverse stakeholders to understand their business objectives, scope and KPIs and translate them into actionable campaigns projects.

                                • +
                                • Produce dashboards, reports, analysis, insights that drive decisions and help us build better campaigns and experiences.

                                • +
                                • Manage and enhance daily/weekly/monthly campaign reporting to provide results and context to deliver actionable insights to senior management, not just reporting data

                                • +
                                • Manage, prioritize, and respond to ad-hoc requests.

                                • +
                                • Take the lead on campaign performance measurement and increasing productivity of all marketing initiatives

                                • +
                                +

                                +

                                Qualifications:

                                +
                                  +
                                • Minimum 2 years of proficient work experiences in the Financial industry and Consumer Campaign Management & Execution data analysis

                                • +
                                • Demonstrated proficiency in working with large varied datasets, both structured and unstructured data, using SAS. Other assets - proficiency in AWS, GCP, SQL, R, Python, Tableau, Power BI and Spotfire

                                • +
                                • Post-Secondary education in Business Analytics, Math, Computer Science, Statistics, Actuarial Science, or Business

                                • +
                                • Good verbal and written communication skills; able to effectively present analytics data to business users at the Manager / Senior Manager level

                                • +
                                • Experience in running campaigns through design, execution and performance tracking

                                • +
                                • A strong passion for data, charts, analysis, trends, and evangelizing data usage

                                • +
                                • Knowledge of BMO wealth products and understanding of current market trends are assets

                                • +
                                • Self-starter & strong relationship building skills. Ability to thrive on a high-degree of independence and ownership

                                • +
                                • Experience in machine learning/deep learning algorithms are assets

                                • +
                                +

                                +

                                +
                                +

                                +

                                Salary:

                                +
                                $54,500.00 - $101,500.00

                                +

                                Pay Type:

                                Salaried

                                +

                                The above represents BMO Financial Group’s pay range and type.

                                +

                                +

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                +

                                +

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst--Campaign-Analytics---Execution_R240022495?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-19T15:10:43.618Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/342710068-senior-campaign-data-analyst-campaign-analytics-execution-at-bmo-financial-group,,expired,2024-09-19T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, caeae9a3-ee77-4409-a35d-7bbebb3ec77d,249489421,Bell Canada,Senior Data Scientist,on_site,"Toronto, Ontario",2023-07-21T19:22:03.937Z,"

                                Req Id: 409221

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                @@ -53505,393 +54743,6 @@ b1ea1eba-115c-4ffc-929c-4ea38bf396f4,306616777,Magna International,"Data Analyst

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                ",,https://jobs.magna.com/job/Aurora-Data-Analyst%2C-Payroll-Implementation-ONTA-L4G-0G9/575669717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-03-16T20:59:55.411Z,False,0,37,402,https://talenthub.vectorinstitute.ai/jobs/306616777-data-analyst-payroll-implementation-at-magna-international,https://jobs.magna.com/job/Aurora-Data-Analyst%2C-Payroll-Implementation-ONTA-L4G-0G9/575669717/,expired,2024-02-15T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, -39cf9174-7160-4d11-a067-d6a1efa13a5c,307132227,OMERS,"Technical Analyst, Valuations and Analytics",on_site,"Ontario, Canada",2024-02-18T06:45:02.269Z,"
                                -

                                Why join us?

                                -

                                -

                                Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                -

                                -

                                -

                                Oxford is seeking a Technical Analyst to join our Valuations & Analytics team in Toronto, Canada. Oxford’s Valuations & Analytics team is responsible for real estate valuations, portfolio and property performance and risk analysis across all markets that Oxford invests. The ideal candidate will combine solid technical skills with a desire to learn real estate finance as an integral part of the Valuations & Analytics team. The candidate for this position will be exposed to the valuation and asset management analytics of investment properties across Oxford’s global portfolio.

                                -

                                -

                                As a member of this team, you will be responsible for:

                                -
                                  -
                                • Designing, building and maintaining reports, tools and templates used to create and maintain Oxford valuation models using VBA, SQL and / or related skills;
                                • -
                                • Assist in the development and maintenance of the team’s database, which tracks historic and forecast property results and market information;
                                • -
                                • Liaise with Oxford’s Information Technology team as well as third party systems service providers in the sourcing, development and maintenance of internally and externally managed software and systems;
                                • -
                                • Lead regular testing and implementation of annual system upgrades and process improvements;
                                • -
                                • Conduct market and economic research, assemble and interpret macro-market trends.
                                • -
                                • Participate in the creation and maintenance of valuation models primarily using Argus Enterprise to reflect changes to the portfolio and market conditions; -
                                • -
                                • Liaise with accountants, asset managers, leasing and property management groups in data collection for periodic valuation updates; and
                                • -
                                • Prepare annual written valuation reports.
                                • -
                                -

                                To succeed in this role, you have:

                                -
                                  -
                                • Relevant undergraduate or advanced degree with 1-4 years of work experience;
                                • -
                                • Candidates must have completed some computer programming courses at a post-secondary level and have a well-developed understanding of the principles of programming;
                                • -
                                • Proficiency in SQL, VBA (or equivalents), and Microsoft Excel (financial modeling) is required;
                                • -
                                • Knowledge and experience with data visualization or business intelligence software is considered an asset;
                                • -
                                • Demonstrated interest in, or prior work experience, in real estate or investment finance is considered an asset;
                                • -
                                • Knowledge and experience with ARGUS Enterprise is considered an asset;
                                • -
                                • Self-motivated individual with a strong work ethic and a high level of attention to detail;
                                • -
                                • Strong verbal and written communication, interpersonal, problem solving and project management skills;
                                • -
                                • Ability to work well under pressure with multiple competing deadlines;
                                • -
                                • Flexible attitude towards a variety of work tasks is required;
                                • -
                                • Valid Passport for International travel as needed.
                                • -
                                -

                                -

                                #LI-Hybrid

                                -

                                -

                                -

                                -

                                Our story:

                                -

                                Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                -

                                -

                                For more information on Oxford, visit www.oxfordproperties.com

                                -

                                -

                                -

                                -

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Technical-Analyst--Valuations-and-Analytics_JR-5399-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-03-18T06:50:02.103Z,False,0,11,154,https://talenthub.vectorinstitute.ai/jobs/307132227-technical-analyst-valuations-and-analytics-at-omers,,expired,2024-02-18T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -73c9e255-b4b8-49f8-ad8e-818f7f936cbb,237622615,Scotiabank,"Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing (12 Month Contract)",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.239Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 177522

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose of Job:

                                -

                                -

                                As Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail and small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                                -

                                -

                                You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail and small business lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we develop new methodology and models to replace the current suite. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

                                -

                                -

                                Job Responsibilities:

                                -

                                -

                                Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                • Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
                                • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
                                • Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
                                • Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
                                • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                                -

                                Job Requirements:

                                -

                                -

                                • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
                                • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
                                • Experience with Python or R including data processing with pandas or dplyr
                                • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
                                • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
                                • Experience with Linux or UNIX systems and version control software such as Git is required

                                -

                                -

                                Nice To Have:

                                -

                                • Domain expertise in retail credit risk and IFRS 9
                                • Experience with pyspark or sparklyr for data wrangling
                                • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
                                • Power user of Microsoft Office (Excel, Word, PowerPoint)

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/237622615-manager-ifrs-9-modelling-analytics-enterprise-stress-testing-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,expired,2023-06-19T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -25d1f8b1-6e52-48ac-b066-ff1235517ecc,239939839,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-06-27T01:41:05.340Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                What you\'ll be doing

                                -

                                You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

                                -

                                -

                                How you\'ll succeed

                                -
                                  -
                                • -Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                                • -
                                • -Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                                • -
                                • -Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                                • -
                                -

                                -

                                Who you are

                                -
                                  -
                                • -You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                • -
                                • -Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                                • -
                                • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                • -
                                • -You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                                • -
                                • -You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
                                • -
                                • Azure Synapse SQL development. Azure Data Factory
                                • -
                                • Azure App service plan – API and Web apps
                                • -
                                • C#.net API/Web app development and Azure DevOps
                                • -
                                • Modeling data for user consumption with UI tools such as Power BI
                                • -
                                • Ability to coach Azure developers
                                • -
                                • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                                • -
                                • Perform requirements analysis, design, and prototyping for data solutions.
                                • -
                                • Provide oversight and guidance to platform, data, BI and development team.
                                • -
                                • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                                • -
                                • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                                • -
                                • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                                • -
                                • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                                • -
                                • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                                • -
                                • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                                • -
                                • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. -
                                • -
                                • -Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                                • -
                                • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                • -
                                -

                                -

                                What CIBC offers

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                • -
                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                CIBC Square Banking Centre

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-04T17:37:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/239939839-sr-consultant-application-development-at-cibc,,expired,2023-06-27T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a8b42e2c-09f6-4dc1-b166-a7264047d664,237206020,EllisDon,Data Governance & Backup Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.307Z,"

                                Job Details

                                Description

                                -

                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                -

                                Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

                                -

                                We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

                                -

                                Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                -

                                In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                -

                                You as a Storage and Backup Specialist:

                                -
                                  -
                                • Corporate Data Governance Strategy for Azure Cloud environment
                                • -
                                • MTTR planning including updates to Disaster Recovery and Business Continuity plans
                                • -
                                • Extensive experience in Storage Consolidation, Backup administration, testing, and verification of backups
                                • -
                                • Administer, maintain, troubleshoot, and support large complex multi-platform Storage environment that includes fiber channel SAN with multiple directors, servers, storage frames technologies, as well as enterprise backup technologies.
                                • -
                                • Architect, design and implement infrastructure solutions for server hosting, virtualization, storage area network, centralized back-up, security, monitoring.
                                • -
                                • Manage monitoring, alerting, capacity planning, provisioning, and reporting for all storage subsystems.
                                • -
                                • Identify, analyze, and resolve problems specifically on storage, backup and in general, cross platform environments.
                                • -
                                • Identify, define, and develop improvements to processes that support the infrastructure at all Core locations and Satellite office.
                                • -
                                • Prepare Implementation plan, rollback plan and test plan, risk, and impact analysis for critical or complex changes. Review the change plan and documentation prepared by level 2 engineers for peer review
                                • -
                                -

                                This is the right role for you, if you have:

                                -
                                  -
                                • A University degree in Computer Science or equivalent
                                • -
                                • Experience with M365 Cloud Storage Solutions & Azure Cloud Files Services
                                • -
                                • Experience with Data Migrations and Systems Integrations
                                • -
                                • Experience with CommVault/Metallic experience is an asset
                                • -
                                • Back-up Experience On-Premise and Cloud
                                • -
                                • 8 years of F/T industry-level experience
                                • -
                                • Excellent communication skills, including an ability to work collaboratively across multi-disciplinary teams, interpersonal skills are essential.
                                • -
                                -

                                EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                -

                                Go ahead and be yourself. We'll pay you for it!

                                -

                                We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                -

                                Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                -

                                We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                Qualifications

                                Skills

                                Behaviors

                                :

                                Motivations

                                :

                                Education

                                Experience

                                Licenses & Certifications

                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,feed-importer@jobboard.io,,,,2023-07-17T16:09:03.123Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/237206020-data-governance-backup-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,expired,2023-06-17T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Senior Level,Bachelors Degree,New Posting, -14376b18-e2ea-40cd-af9b-c6f891ee38fd,242607511,Scotiabank,Manager Treasury Risk Analytics,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.774Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 180085

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose of Job:

                                -

                                -

                                The manager in Trade Floor Risk Management International team is primary focused on providing structural, liquidity, and market risk oversight for Scotiabank's operations in Latin America and Caribbean units, ensuring all positions and their inherent key risks are properly identified, quantified, monitored, and reported.

                                -

                                -

                                This role has regular exposure to Senior Management across different areas and jurisdictions to discuss and provide recommendations on market risk related issues in the region; written and oral presentations are done on a regular basis to Senior Level Executives.

                                -

                                -

                                The manager will also assess business proposals and provide recommendations on the appropriate risk frameworks in line with Scotiabank's standards and policies.

                                -

                                -

                                Other activities include, drawing periodic reports, developing tools to improve the team's risk oversight, reviewing the risk framework of the different jurisdictions, assessing data quality, ensuring information integrity, and implementing technology related projects.

                                -

                                -

                                Job Responsibilities:

                                -

                                -

                                Business Relationship: Develop effective relationships with business lines that foster awareness of the Bank's risk framework and sharing of information.

                                -

                                -

                                Proactivity: Self-initiated behavior that endeavors to propose and execute solutions to daily challenges and tasks.

                                -

                                -

                                Market Intelligence/Proactive Analysis: Maintain regular dialogue with business lines and control functions with respect to market developments and risk matters, including changes in risk profile and P&L drivers. Monitor international financial markets/events, identify new trends and summarize new regulatory requirements.

                                -

                                -

                                Responding to Requests/Events: Facilitate effective risk-reward decisions by providing a separate opinion on business initiatives, including calibrating risk limits in alignment with the Bank's risk appetite framework.

                                -

                                -

                                Valuation: Ensure portfolios are accurately valued through analysis of daily P&L results and oversight over Separate Price Verification process.

                                -

                                -

                                Communication: Distilling relevant daily risk/market information into highlights, ensuring material issues are informed to stakeholders.

                                -

                                -

                                Report Effectiveness: Run daily processes within deadlines (e.g., reports, analysis, etc.) and identify process improvement opportunities. Contribute to the testing and development of new tools to automate risk processes across different jurisdictions.

                                -

                                -

                                Team player: Work effectively with other team members and/or stakeholders with emphasis on getting things done through proactive participation and collaboration.

                                -

                                -

                                Job Requirements:

                                -

                                -

                                Advise and assist International Subsidiaries in the development of their risk management framework in line with the Bank’s standards for balance sheet management (e.g., Static Interest Rate Gaps, Net Interest Income, Economic Value, duration gap.), liquidity risk management (e.g., Liquidity Cash Gap, Liquidity Buffer, Liquidity Stress Testing) and market risk management (VaR, sVaR, Interest Rate Sensitivity (DV01)).

                                -

                                -

                                Conceptualize, develop, and deploy value-added analytical tools and data visualization solutions to assist treasury activities around structural interest rate risk and liquidity management. Develop and maintain tools and processes to eliminate manual tasks with automation.

                                -

                                -

                                -

                                Qualifications:

                                -

                                -
                                • Strong knowledge of market risk management processes and measurement techniques is required.
                                • At least 3 years of previous experience in liquidity risk, interest rate risk or market risk management.
                                • Knowledge of the Bank's risk appetite and risk framework is an asset.
                                • Strong communication skills are critical as there is close interaction with the regional Treasurers, Traders, and local Market Risk Management teams. Spanish is an asset.
                                • Strong writing skills are critical as written communication is often used to present key issues and recommendations to Senior Management and/or to the Bank's Market Risk and Management Policy Committee.
                                • Given the high volume of activity, the manager must be able to prioritize ongoing initiatives and efficiently multi-task to meet objectives. Ability to adapt to a dynamic and fast-paced environment is a must.
                                • -
                                -

                                -

                                Educational Requirements:

                                -

                                -
                                • Quantitative Undergraduate (e.g., Economics, Finance, Mathematics, Statistics, Engineering, etc.) with a master’s degree (e.g., MSc, Master of Finance, Master of Risk Management, etc.).
                                • FRM and/or CFA certifications are an asset.
                                • Proficiency using programming languages and data management software, including Python, R, SQL, Visual Basic, etc.
                                • Strong technical knowledge and work experience in data visualization tools (i.e., Tableau, Power BI).
                                • Knowledge of market risk management processes and metrics.
                                • Knowledge of Spanish is an asset
                                • -
                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/242607511-manager-treasury-risk-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -5ef58704-6665-4ca8-9500-26a6f1659941,236452210,Scotiabank,"Senior Manager, Data Analytics & Governance",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.913Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 179743

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose of Job:

                                -

                                -

                                Working within Global Risk Management (GRM), the Senior Manager, Data Analytics & Governance focuses on data driven analyses resulting in useful insights that improve the Bank’s Operational Risk performance. Additionally, the role contributes to the implementation of enterprise data policies and standards by managing key data processes for the Global Operational Risk (GOR) team.

                                -

                                -

                                Job Responsibilities:

                                -

                                -

                                • Lead the development, implementation, and monitoring of GOR data strategies to minimize Operational Risk events and assist business line decision making.
                                • Lead ad-hoc analysis that provide useful intelligence to improve Operational Risk understanding and identify opportunities to improve risk/reward tradeoff. Assess current/emerging trends that may impact GOR, communicate root causes and undesirable trends affecting risk tolerance through segmentation analytics and early warning triggers.
                                • Deliver key analytics projects in partnership with enterprise data & analytics teams, GOR teams and business partners
                                • Recommend improvements to existing processes to assist data analytics, including data collection in Source systems
                                • Introduce changes under a test/control framework to help drive purpose, evidence-based decisions
                                • Work closely with leadership teams to create data strategies that assist data modeling
                                • Act as liaison between Data Office/Data Risk and GOR to communicate requirements ensuring compliance with data standards/ requirements
                                • Data governance and stewardship assist, including data quality, data lineage, and data change management
                                • Manages projects to deliver data changes, process updates, and audit/RDARR/OSFI deliverables
                                • Conducts or assists detailed analysis and investigations of data feed and defect issues impacting monthly processes and/or data quality
                                • Conducts or assists data trending and reasonability checks
                                • Prepares management and technical presentations, interfaces with senior management and business users to document business requirements, data and information needs, and data exchange flow and provides assist/requirements for user acceptance testing
                                • Manages communication with business partners and effectively communicates with the technology groups as well as data users in GOR and throughout GRM
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
                                • Champions a high-performance environment and contributes to an inclusive work environment.

                                -

                                Job Requirements:

                                -

                                -
                                • Minimum of 5 years of data centred experience, preferably in a bank / financial institution
                                • Experience in statistical & quantitative analysis
                                • Experience in programming (SAS/Python/R) and databases (SQL, DB2) knowledge; ability to process and assess large volumes of data
                                • Experience in use of PowerBI, Tableau, or other data visualization tools
                                • Experience with Operational Risk platforms and methodologies, and their application in judicious decision making, is strongly desired
                                • Strong communication and presentation skills complemented with solid problem-solving skills
                                • Growth mindset with noetic curiosity, proactiveness and passion for continuous learning
                                • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
                                • Ability to present complex information in a simplified way to various audiences
                                • Bachelor’s degree or higher, preferably in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
                                • Fluency in Spanish is an asset
                                • -
                                -

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:18:05.972Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/236452210-senior-manager-data-analytics-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -71392a59-b4ea-4b2f-ada9-87edf1801e8b,243216283,BMO Financial Group,"Manager, Audit Data Analytics Developer",on_site,"Ontario, Canada",2023-07-05T01:42:02.289Z,"
                                -

                                Application Deadline:

                                07/30/2023

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Consults on and develop analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Supports the Audit function with analytics and automation of recurring analytics. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools. Banking/Financial service experience AND strong Python skill desired for this role.

                                -

                                -

                                *This is a Hybrid role requiring in office days to support business needs.

                                -
                                  -
                                • Acts as a trusted advisor to assigned business/group.

                                • -
                                • Leads the design, development, and implementation of analytic solutions.

                                • -
                                • Identifies emerging issues and trends to inform decision-making.

                                • -
                                • Recommends and implements solutions based on analysis of issues and implications for the business

                                • -
                                • Ensures alignment between stakeholders about business needs and data needs.

                                • -
                                • Ensures alignment between stakeholders about business needs and data needs.

                                • -
                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                                • -
                                • Designs, develops, and implements innovative analytical solutions.

                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                • -
                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                                • -
                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                                • -
                                • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.

                                • -
                                • Automates validation tests to improve quality and efficiency of the validation process.

                                • -
                                • Validates and tests models used in analytics and reporting to assess/address performance and compliance.

                                • -
                                • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).

                                • -
                                • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.

                                • -
                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                                • -
                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                • -
                                • Designs, develops, and implements innovative analytical solutions.

                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                • -
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                • -
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                • -
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                • -
                                • Analyzes data and information to provide subject-matter insights and recommendations.

                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                • -
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                • -
                                • Builds effective relationships with internal/external stakeholders.

                                • -
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                • -
                                • Provides specialized consulting, analytical and technical support.

                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                • -
                                • Works independently and regularly handles non-routine situations.

                                • -
                                • Broader work or accountabilities may be assigned as needed.

                                • -
                                -

                                Qualifications: -

                                -
                                  -
                                • 3-7 years of relevant experience and post-secondary degree in Commerce / Engineering / Computer Science or related field of study or an equivalent combination of education and experience.

                                • -
                                • Knowledge and experience in data processing , data analysis, data analytics, statistical tool sets and/or software/web/automation development including but not limited to SQL, Python, SAS, Power BI, Spotfire, Tableau, AWS, Hadoop, Netezza and SQL Server - In-depth.

                                • -
                                • Deep knowledge and technical proficiency gained through extensive education and business experience.

                                • -
                                • Verbal & written communication skills - In-depth.

                                • -
                                • Collaboration & team skills - In-depth.

                                • -
                                • Analytical and problem solving skills - In-depth.

                                • -
                                • Influence skills - In-depth.

                                • -
                                • Data driven decision making - In-depth.

                                • -
                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Audit-Data-Analytics-Developer_R230011050?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-18T00:46:00.000Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/243216283-manager-audit-data-analytics-developer-at-bmo-financial-group,,expired,2023-07-05T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bbcf79bb-f114-4147-9b24-798afd4e3489,243216683,RBC,Associate - Data Analytics,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.208Z,"
                                -

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                -

                                Job Title

                                Associate - Data Analytics

                                -

                                -

                                Job Description

                                -

                                What is the opportunity?

                                -

                                -

                                Reporting to the Head of Data Analytics you will work closely with business and technology teams across Wealth Management Europe (WME) to support the ongoing maintenance of the Data Analytics infrastructure and with the delivery of analytical insights to business.

                                -

                                UKJERSEYWM

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Support the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations
                                • -
                                • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle
                                • -
                                • Work with the business and senior team members to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository
                                • -
                                • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, supporting the creation of model development to support investigation and analysis
                                • -
                                • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements
                                • -
                                • Research, explore and understand business problems and reporting requirements and support in the design, development and deployment of solutions and dashboards, enabling end-user self-service, incorporating drill-down functionality
                                • -
                                • Provide data driven and thought provoking insights to drive informed decision-making, supporting the transfer of knowledge to stakeholders to use its data more effectively
                                • -
                                • Adhere to the established DevOps’s process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed
                                • -
                                -

                                -

                                What do you need to succeed?

                                -

                                Must-have

                                -
                                  -
                                • Experience with MS SQL Server, Data Warehousing techniques, solutions and methodologies
                                • -
                                • Good understanding of relational database principals
                                • -
                                • Good knowledge of SQL, working with ETL\'s and SSIS packages
                                • -
                                • Data management analyst with ability to mine and visualize data
                                • -
                                • Good understanding of datasets, data warehouses /modelling, database design and programming
                                • -
                                -

                                -

                                Nice-to-have

                                -
                                  -
                                • Knowledge of Tableau
                                • -
                                • Experience with JIRA
                                • -
                                • Experience with GitHub
                                • -
                                • Knowledge of Agile project management principles
                                • -
                                -

                                -

                                What is in it for you?

                                -

                                We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -
                                  -
                                • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
                                • -
                                • Leaders who support your development through coaching and managing opportunities
                                • -
                                • Opportunities to work with the best in the field
                                • -
                                • Ability to make a difference and lasting impact
                                • -
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • -
                                • A world-class training program in financial services
                                • -
                                • Flexible and hybrid working options fully supported
                                • -
                                -

                                -

                                -

                                -

                                Job Summary

                                -

                                Address:

                                Saint Helier, Jersey

                                City:

                                GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                                Country:

                                Jersey

                                Work hours/week:

                                36.25

                                Employment Type:

                                Full time

                                Platform:

                                Wealth Management

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-06-20

                                Application Deadline:

                                2023-07-14
                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                -
                                -

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000062112/Associate-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-18T00:46:00.000Z,False,0,39,149,https://talenthub.vectorinstitute.ai/jobs/243216683-associate-data-analytics-at-rbc,,expired,2023-07-05T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, ab300eb8-56ba-4369-aa1a-f56ef4e6af8d,236957199,BMO Financial Group,"Manager, Operational Risk Reporting and Analytics",on_site,"Ontario, Canada",2023-06-17T01:42:03.026Z,"

                                Address:

                                250 Yonge Street

                                @@ -54708,30 +55559,6 @@ ebb51650-3c50-4250-bf8c-07637b70f321,306071487,Borealis AI,"Director, Engineerin
                                ",,https://www.borealisai.com/careers/?gh_jid=7207947002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-03-14T18:44:14.581Z,False,0,3,51,https://talenthub.vectorinstitute.ai/jobs/306071487-director-engineering-at-borealis-ai,,expired,2024-02-12T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -cf8ad8ca-4ac3-4a86-9acd-44cc721b4cac,342395935,Verto Inc.,Future Opportunities with Verto,hybrid,"Toronto, ON, Canada",2024-09-17T01:28:06.504Z,"

                                Imagine knowing the work you do is changing the face of the healthcare system in Canada. That’s what we do every day at Verto Health, create technology solutions that facilitate access to quality healthcare regardless of geographic location.

                                -

                                Why working at Verto is different

                                -

                                Verto is a healthcare technology company that is committed to creating technology that brings every patient to their best possible health outcome. Our Digital Twin platform uses smart data integrations with existing healthcare data to create a comprehensive view of the flow of all patients in a health system; we use this unparalleled view into each patient's care journey to provide the right data to anyone in the circle of care at critical points of care delivery. Our passion for sustainability and innovation fuels our desire to build software that tackles healthcare’s major inefficiencies including chronic care management, virtualized care, and personal patient engagements.

                                -

                                At Verto, we believe that ambitious missions like ours can only be achieved by a self-actualized team. Every role at Verto has defined pathways for advancement, and every manager expects team members to participate in continuous development. We believe that great products aren't created through overspecialization and silos, but collaborative knowledge sharing and effective teamwork. Our diversity is our strength and as such, we offer customized work experiences and personalized learning plans to support your passions, strengths, and desires. We are proud to enable a work culture that encourages people to laugh, have fun, and build relationships while maintaining a work-life balance. At Verto, we are redefining what it means to be passionate about healthcare: We are Bold, Impactful, Transparent, Trustworthy, and Effective.

                                -

                                What's in it for you

                                -
                                  -
                                • Comprehensive healthcare (including prescriptions, vision, and paramedical), dental, and pooled benefits (life, AD&D, critical illness, and LTD)
                                • -
                                • 3 weeks vacation per year for all full-time employees at Verto!
                                • -
                                • 5 paid personal days per year
                                • -
                                • Unlimited sick days per year
                                • -
                                • 9 statutory holidays per year
                                • -
                                • Parental leave top-up options
                                • -
                                • Annual professional development budget of:$2,000/ fiscal year to support continuous learning (e.g. tuition, courses, learning materials, etc.)
                                • -
                                • Competitive work from home budget
                                • -
                                • Co-working office space at a well-known tech incubator in Downtown Toronto (OneEleven).
                                • -
                                • Office Perks: free coffee and tea, access to full kitchen, wellness room, games room, podcast studio, professional development, networking and peer group workshops
                                • -
                                • Ad-hoc company sponsored team events and socials
                                • -
                                • Ongoing company developed learning program
                                • -
                                -

                                Let's get to know each other

                                -

                                Verto has a virtual first mindset, and we’re working towards a future that is digital by design. We offer a coworking space that is meant to allow you to be the best version of yourself.

                                -

                                We have 9:30 am daily Stand-Ups to unblock and update, daily team meetings to collaborate and align, bi-weekly 1 on 1’s with your People Leader to goal set, and monthly Townhalls to celebrate and teach. We have dedicated time for company-wide socials (including team board game nights, beach days, soccer-baseball, and e-sports gaming to name a few).

                                -

                                Our passion for innovation fuels our desire to build software that tackles healthcare’s major inefficiencies including chronic care management, virtualized care, and personal patient engagements. But you don’t have to take our word for it - check out the “Knowledge Center” on our website, YouTube, LinkedIn, and Twitter. We are an OPEN book, read away and ask us questions!

                                -

                                Do you have 70% of the qualifications we are looking for and are looking to make a difference? Grab a link to your LinkedIn profile and then send us your resume here

                                ",,https://vertohealth.applytojob.com/apply/ya6RGBkJJK/Future-Opportunities-With-Verto?source=Our%20Career%20Page%20Widget,careers@verto.ca,https://verto.health/about-us/,,,2024-10-04T01:28:00.000Z,False,0,45,138,https://talenthub.vectorinstitute.ai/jobs/342395935-future-opportunities-with-verto-at-verto-inc,,expired,2024-09-17T01:28:00.000Z,admin,Startup (1-19),Application Click Through,Health,Associate,Bachelors Degree,New Posting, 2bf9a558-8a49-42f3-8d67-6780e89d2af1,342737213,TD Bank Group,ML DevOps Engineer,hybrid,"Toronto, ON, Canada",2024-09-19T18:15:02.970Z,"

                                Work Location:

                                Canada

                                @@ -56810,7 +57637,308 @@ c5c47084-846d-4d58-af00-88bbecb06353,313621455,CIBC,Senior Data Scientist (12 mo

                                Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

                                As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

                                Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

                                ",,https://careers.aircanada.com/jobs/13593710-solution-architect-data-and-analytics,aitalent@vectorinstitute.ai,https://careers.aircanada.com/,,,2024-03-30T19:18:51.255Z,False,0,7,256,https://talenthub.vectorinstitute.ai/jobs/309255124-solution-architect-data-analytics-at-air-canada,,expired,2024-02-29T19:18:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -8b926b1c-e567-4814-990c-29e094db4854,314301085,CIBC,"Director, Data Governance",on_site,"Ontario, Canada",2024-03-25T06:24:01.806Z,"
                                +a230a39c-9e2b-4063-9a65-bd8f5680428a,295709687,Deep Genomics,Head of Machine Learning,on_site,"Toronto, ON, Canada",2023-12-17T16:34:01.353Z,"
                                +
                                About Us
                                +

                                +
                                Deep Genomics is a startup company that aims to revolutionize drug development using artificial intelligence built to decode RNA biology and RNA therapeutics. Our proprietary AI platform enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to discover genetic targets for human diseases, and develop RNA therapeutics, with a focus on steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, statistical genetics, applied data science, deep bioinformatics, software engineering and laboratory automation. Deep Genomics is based in Toronto, Ontario and Cambridge, Massachusetts.
                                +

                                +
                                Opportunity
                                +

                                +
                                As the Head of Machine Learning, you will assume a pivotal role in leading a dynamic, cross-disciplinary team of ML scientists, ML engineers, and computational biologists, and collaborating closely with our applied data science, statistical genetics and software engineering teams. You will be responsible for guiding and shaping our strategy for developing differentiating ML capabilities for drug development, and working directly with the executive team to achieve ML goals that directly impact company objectives and are meaningful to our partners, our investors and our board of directors. You will play a key role in shaping the design and execution of ML research projects by harnessing the latest methodologies and best engineering practices, including foundation models, transformers and generative AI. In addition, your responsibilities will encompass team coordination, talent acquisition, and seamless collaboration with other departments within the organization. We are seeking a self-motivated individual with exceptional communication skills and a high degree of emotional intelligence. If you have the curiosity, passion, and collaborative spirit, let's work together!
                                +
                                +
                                +

                                What you bring:

                                +
                                    +
                                  • A PhD in machine learning, computer science or other quantitative discipline; or equivalent industry experience.
                                  • +
                                  • Deep expertise in contemporary AI/ML methods and their applications to problems in genomics and related areas of biology.
                                  • +
                                  • Experience managing teams of ML scientists and engineers, including setting and tracking team goals and timelines, providing feedback to individuals and supporting their development, and coordinating with necessary support functions, such as software engineering, data science, bioinformatics and statistics.
                                  • +
                                  • Mentoring, developing and leading junior staff from different backgrounds across machine learning.
                                  • +
                                  • Technical leadership experience and familiarity with modern software engineering practices and tools such as Github, CI/CD pipelines, cloud frameworks, and others.
                                  • +
                                  • Demonstrated track record in building collaborations and an ability to communicate effectively with diverse teams and functions, including data scientists or computational biologists, engineers and experimental biologists.
                                  • +
                                  • Experience working under pressure, managing projects and delivering results on time.
                                  • +
                                  • An inspirational and energetic working style, coupled with the highest standards of scientific rigor and integrity.
                                  • +
                                +
                                +
                                +

                                What we offer:

                                +
                                    +
                                  • Building technologies that can directly impact the lives of patients.
                                  • +
                                  • A competitive salary plus equity compensation (ESOPs).
                                  • +
                                  • A wide array of company-paid benefits.
                                  • +
                                  • Flexibility in remote working.
                                  • +
                                  • Exceptional opportunities for learning and growth in a world-class team of researchers and software developers, working at the intersection of the most exciting areas of science and technology.
                                  • +
                                +
                                +
                                +
                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                +

                                +
                                Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                +
                                ",,https://jobs.lever.co/deepgenomics/212a31b0-1e12-41aa-b2c7-7a42992ed223,feed-importer@jobboard.io,,,,2024-02-01T16:28:44.274Z,False,0,4,75,https://talenthub.vectorinstitute.ai/jobs/295709687-head-of-machine-learning-at-deep-genomics,https://jobs.lever.co/deepgenomics/212a31b0-1e12-41aa-b2c7-7a42992ed223,expired,2023-12-17T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Team Lead,PhD,New Posting, +8e973023-00ab-4e03-b89f-5f125679a766,302189505,RBC,"Senior Manager, AML Risk Assessments",on_site,"Toronto, ON, Canada",2024-01-23T19:01:22.652Z,"

                                Job Summary

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                As Senior Manager, AML Risk Assessment, you support the development, implementation, and maintenance of enterprise Anti-Money Laundering/Anti-Terrorist Financing (AML/ATF) Risk and Control Assessment processes (development/maintenance of methodology and supporting documents, launch, analysis, quality assurance and reporting).

                                +

                                What will you do?

                                +
                                  +
                                • Responsible for overseeing updates to the RBC Enterprise AML/ATF Risk Assessment Methodology and supporting documents (procedures, training documentation, communication plans) and assisting with the implementation of the Enterprise AML/ATF Risk Assessment Methodology
                                • +
                                • Leverage data and statistical methods to evaluate, aggregate, visualize and report on AML risks and controls across the enterprise.
                                • +
                                • Work with internal partners to identify pertinent risk factors and facilitate data collection and integration.
                                • +
                                • Leverage data analytics and programming capabilities to efficiently execute a reproducible methodology.
                                • +
                                • Leverage AML expertise to establish and effectively challenge risk ratings for various and qualitative risk factors.
                                • +
                                • Keeping abreast of regulatory risk assessment requirements and expectations for all jurisdictions in which RBC operates and for developing governance over compliance with such requirements for AML/ATF Risk Assessments
                                • +
                                • Working with internal partners to understand how the various components of the Financial Crimes and AML Program work together, providing feedback on best practices, including the development and maintenance of controls within Financial Crimes and AML
                                • +
                                • Develop and maintain training material for AML/ATF Risk Assessment and Control Self Assessments
                                • +
                                • Keeping abreast of internal changes to RBC business structure and product offerings (e.g. mergers and acquisitions, new products, etc.) and validating assessable units against the RBC’s legal entities
                                • +
                                +

                                What do you need to succeed?

                                +

                                Must-have:

                                +
                                  +
                                • 2+ years of relevant subject matter experience in risk management and compliance
                                • +
                                • Knowledge of applicable laws and regulations related to AML and ATF
                                • +
                                • Strong knowledge of risk and control environments
                                • +
                                • Proficiency with data analytics and analytics technologies (SQL and Python)
                                • +
                                +

                                Nice-to-Have

                                +
                                  +
                                • Familiarity with a breadth of banking products and services
                                • +
                                • ACAMS or other AML certification
                                • +
                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                • +
                                • Leaders who support your development through coaching and managing opportunities
                                • +
                                • Ability to make a difference and lasting impact
                                • +
                                • Work in an agile, collaborative, progressive, and high-performing team
                                • +
                                • The opportunity to interface with senior level executives from many different parts of the organization
                                • +
                                +

                                Job Skills

                                +

                                Anti-Money Laundering (AML), Business Perspective, Communication, Consulting, Decision Making, Financial Regulation, Fraud Risk Management, Internal Controls, Operational Integrity, Problem Solving

                                +

                                Additional Job Details

                                +

                                Address:

                                +

                                20 KING ST W:TORONTO

                                +

                                City:

                                +

                                TORONTO

                                +

                                Country:

                                +

                                Canada

                                +

                                Work hours/week:

                                +

                                37.5

                                +

                                Employment Type:

                                +

                                Full time

                                +

                                Platform:

                                +

                                GROUP RISK MANAGEMENT

                                +

                                Job Type:

                                +

                                Regular

                                +

                                Pay Type:

                                +

                                Salaried

                                +

                                Posted Date:

                                +

                                2024-01-16

                                +

                                Application Deadline:

                                +

                                2024-01-31

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                ",,https://jobs.rbc.com/ca/en/job/R-0000075690/Senior-Manager-AML-Risk-Assessments,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-02-02T02:07:00.000Z,False,0,0,30,https://talenthub.vectorinstitute.ai/jobs/302189505-senior-manager-aml-risk-assessments-at-rbc,,expired,2024-01-23T19:01:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +b252c340-73b9-441e-9f6a-b49fcd2d8fd2,302189525,RBC,"2024 CFO, Summer Data Analyst, Financial Resource Optimization (8 months)",on_site,"Toronto, ON, Canada",2024-01-23T19:08:04.126Z,"

                                Job Summary

                                +

                                Financial Resource Optimization (FRO) is responsible for management of capital resources in support of RBC’s key strategic objectives. FRO’s mandate includes measurement, monitoring and forecasting of risk-weighted assets, leverage, and capital metrics. FRO works jointly with Businesses, Strategy, and Group Risk Management and other groups in Finance to measure and deploy capital in support of RBC’s growth and financial objectives, and adherence to regulatory requirements.

                                As a Data & Product Analyst student, you’ll work in the FRO Data, Systems and Business Solutions team supporting the Product Owners with both the existing infrastructure platform and the build-out/upgrades to the platform due to key Regulatory Initiative and/or major initiatives implemented due to the bank’s key business strategies and objectives.

                                +

                                Job Description

                                +

                                You’ll support the Product team by contributing and leading:

                                +

                                Analytics & Metrics. You will help our team make data-driven decisions.

                                +

                                Work alongside a product owner(s) and be responsible for analyzing key data sets and data elements related to Capital Measurement and Reporting.

                                +

                                Development of agile metrics (Sprint velocity, burndown, etc.) to contribute to oversight of BAU (business as usual) team oversight, and increase agile maturity.

                                +

                                Participate on a team where data, measurement, and analysis is integral to smart decision making and ensuring accurate and complete measurement of Capital.

                                +

                                Prototype, test, and operationalize dashboards, KPIs and visualizations.

                                +

                                Assist with Backlog Management and Prioritization.

                                +

                                Root Cause Problem Solving. You will help improve key business processes.

                                +

                                Following the data and metrics extracted above, investigate a business process, engage others in the organization, analyze systems, document as appropriate, and figure out why something is not working/stalling.

                                +

                                Communicate findings concisely and succinctly.

                                +

                                Work with FRO team members to devise, weigh and implement solutions.

                                +

                                Special Projects.

                                +

                                We have a broad mandate within the team, and are always looking for ways to apply creativity and special skills as it helps us to improve our product and user experience.

                                +

                                What do you need to succeed?

                                +
                                  +
                                • Currently enrolled at a Canadian post-secondary institution with a focus on Business, Finance, Data Science & Data Analytics.
                                • +
                                • Excellent interpersonal and highly developed communication skills (verbal and written).
                                • +
                                • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment.
                                • +
                                • Leadership acumen and a passion to apply it in a dynamic business environment.
                                • +
                                • Capability to manage multiple priorities across a number of assignments and prioritize effectively.
                                • +
                                • Experience applying an agile mindset.
                                • +
                                +

                                Nice-to-have

                                +
                                  +
                                • Knowledge of and experience in capital and risk management.
                                • +
                                • Knowledge or experience with business analysis process (requirements gathering, documentation, use cases).
                                • +
                                • Expressed interest or previous experience in the financial industry or FinTech.
                                • +
                                • Experience with agile or design thinking methodologies or frameworks.
                                • +
                                • Demonstrated blend of technical and business skills.

                                • +
                                +

                                What’s in it for you?

                                +
                                  +
                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                • +
                                • Opportunities to do challenging work
                                • +
                                • Opportunities to take on progressively greater accountabilities
                                • +
                                • Opportunities to building close relationships with counterparts across the Bank
                                • +
                                +

                                Job Skills

                                +

                                Additional Job Details

                                +

                                Address:

                                +

                                RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                +

                                City:

                                +

                                TORONTO

                                +

                                Country:

                                +

                                Canada

                                +

                                Work hours/week:

                                +

                                37.5

                                +

                                Employment Type:

                                +

                                Full time

                                +

                                Platform:

                                +

                                Office of the CFO

                                +

                                Job Type:

                                +

                                Student/Coop (Fixed Term)

                                +

                                Pay Type:

                                +

                                Salaried

                                +

                                Posted Date:

                                +

                                2024-01-04

                                +

                                Application Deadline:

                                +

                                2024-02-01

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                ",,https://jobs.rbc.com/ca/en/job/R-0000075293/2024-CFO-Summer-Data-Analyst-Financial-Resource-Optimization-8-months,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-02-02T02:07:00.000Z,False,0,1,45,https://talenthub.vectorinstitute.ai/jobs/302189525-2024-cfo-summer-data-analyst-financial-resource-optimization-8-months-at-rbc,,expired,2024-01-23T19:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +94d303e2-47a7-4d2e-a4a1-344750bc0401,301941887,Sun Life Financial,Senior Data Analyst (Fixed Term),on_site,"Ontario, Canada",2024-01-22T06:44:02.099Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                Reporting to the Director, Data & Analytics (Insurance Solutions), the Business Intelligence Specialist will join a team of data scientists, data engineers, and analysts responsible for delivering data and analytical tools to support Sun Life’s individual insurance business in Canada.

                                +

                                +

                                The successful candidate will have a front row seat in shaping Sun Life Canada’s business intelligence capabilities, leading various analytics initiatives, and delivering innovative solutions to colleagues across product management, insurance distribution, actuarial, and innovation.

                                +

                                +

                                Insurance Solutions is one of the largest business units within Sun Life Canada, accounting for approximately 15% of worldwide earnings. We manufacture and distribute leading-edge life and health insurance products to over two million individual customers.

                                +

                                +

                                This is a one year contract role that offers partial benefits and vacation.

                                +

                                +

                                What will you do?

                                +

                                +

                                Design and Visualization

                                +
                                  +
                                • Design and facilitate workshops to understand user needs, set business requirements, and test BI dashboard designs with users

                                • +
                                • Translate user needs into compelling BI dashboard designs utilizing best practices in infographic design and aligned with Sun Life design language

                                • +
                                • Illustrate alternative concepts by mocking up sketches or wireframes with consistent and professional layout and visual; rapidly iterate and develop final versions

                                • +
                                +

                                +

                                Data, Technology, and Tools

                                +
                                  +
                                • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.

                                • +
                                • Responsible for improving the quality and management of data assets across distribution, finance, actuarial, product domains

                                • +
                                • Partner with different partners in the team, business, and IT to evolve data foundation and technology stack for Insurance Solutions

                                • +
                                • Assist in the migration of all of BI and Insights data foundation to the Enterprise Data Lake

                                • +
                                +

                                +

                                Project and Relationship Management

                                +
                                  +
                                • Build and maintain strong working relationships with the Distribution, Pricing, Operations and IT partners to ensure delivery of initiatives within the area.

                                • +
                                • Design and deliver end-user training and training materials; provide technical support as necessary

                                • +
                                • Perform voice of the customer (VOC) feedback analysis to gain insights, take actions and improve.

                                • +
                                +
                                +

                                +

                                What will you need to succeed?

                                +
                                +
                                  +
                                • 4+ years of experience in data analytics with a focus on business intelligence

                                • +
                                • 3+ years of experience and strong understanding of best practices in data visualization and dashboard design

                                • +
                                • 4+ years of experience in Data Visualization tools, atleast 2 years working with Tableau

                                • +
                                • 2+ years of experience with data querying languages (SQL)and techniques, analysis tools, data sources and structures

                                • +
                                • Excellent verbal and written communication, interpersonal and teamwork skills

                                • +
                                • Experience in insurance and financial service industry is an asset, but not required

                                • +
                                • Knowledge in one or more programming languages (Python/R)

                                • +
                                • Education background in math/UI design/statistics/financial engineering/data analytics

                                • +
                                +

                                +

                                What is in it for you?

                                +
                                  +
                                • Competitive salary influenced by market range data

                                • +
                                • A friendly, collaborative and inclusive culture

                                • +
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                • +
                                +

                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                76,000/76 000 - 125,000/125 000

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                04/02/2024
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst--Fixed-Term-_JR00090852?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-05T06:49:02.367Z,False,0,5,81,https://talenthub.vectorinstitute.ai/jobs/301941887-senior-data-analyst-fixed-term-at-sun-life-financial,,expired,2024-01-22T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +65829b06-17ef-4f2a-b193-73dd5f9fa92a,302432812,CN,"Intern, Data Scientist",on_site,"Ontario, Canada",2024-01-25T06:45:02.981Z,"
                                +

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                +

                                +

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist position in Montreal, QC from May – August 2024.

                                +

                                Job Summary

                                +

                                The Intern, Data Scientist is responsible for working with CN’s Data Science and Machine Learning Operations (MLops) teams to assist with the collection, analysis, and interpretation of large datasets. The position ensures automation and consistency across big data for the Machine Learning (ML) and Deep Learning (DL) model training.

                                +

                                Major Responsibilities

                                +
                                  +
                                • Develop and test predictive models using scikit-learn, TensorFlow, and Keras
                                • +
                                • Clean and manipulate data using Pandas and NumPy
                                • +
                                • Conduct statistical analysis using Python and PySpark Libraries
                                • +
                                • Engage in text mining and Natural Language Processing (NLP) projects, leveraging techniques like sentiment analysis and topic modeling to extract insights from textual data
                                • +
                                • Conduct outlier detection and anomaly detection analyses to identify and interpret unusual data points, enhancing model robustness and data integrity
                                • +
                                • Conduct code reviews and ensure coding standards
                                • +
                                • Create visualizations and reports using Matplotlib, Seaborn, Plotly, Power BI
                                • +
                                +

                                Requirements

                                +
                                  +
                                • Strong understanding of statistical and ML concepts and algorithms such as linear and logistic regression, decision trees, random forests, gradient boosting, and neural networks
                                • +
                                • Strong skills in programming languages such as Python
                                • +
                                • Experience in developing machine learning models such as Supervised Learning, unsupervised, semi-supervised and Few-Shot Learning algorithms
                                • +
                                • Experience with data analysis and visualization tools demonstrating the ability to translate data into actionable insights
                                • +
                                • Ability to communicate findings clearly and effectively
                                • +
                                • Applies critical thinking
                                • +
                                • Communicates with impact
                                • +
                                • Solves problems to create value
                                • +
                                +

                                Education

                                +
                                • Working toward a Bachelor’s Degree, Master’s Degree or Doctor of Philosophy in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                +

                                +

                                +

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11954?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-02-08T06:50:04.831Z,False,0,40,175,https://talenthub.vectorinstitute.ai/jobs/302432812-intern-data-scientist-at-cn,,expired,2024-01-25T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +53e27d6d-3bf1-468e-9a37-f56f7406e539,300037565,Scotiabank,"Manager, Data Platform Management Analytics - CID&A",on_site,Canada : Ontario : Toronto,2024-01-11T16:26:02.085Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 191274

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose:

                                +


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data & data capabilities that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.

                                +

                                +

                                The Manager, Data Platform Management Analytics working with Data Office, technology partners and platform users will be responsible for contributing to the execution of Data Platform Management processes, working on projects with special focus on platform analytics and telemetry. These processes cover platform onboarding, workload management, data provisioning and access management, service level objectives and other enterprise data platform processes. The candidate should be proficient in Business Intelligence tools and have hands-on experience with Big Data and Data Warehousing technologies such as Hadoop, Hive, and Spark.

                                +


                                Is this role right for you? In this role, you will:

                                +

                                +
                                • Develop, execute, and maintain reporting dashboards.
                                • Conduct source data and metadata analysis and profiling to build Data Platform Analytics product backlog.
                                • Drive Data Platform Management analytics projects to get insights to achieve business objectives and manage risks.
                                • Participate in the requirements gathering, design, plan, coordination, and development of Data Platform initiatives with varying scope, ambiguity, and complexity.
                                • Work closely with stakeholders to understand business needs, data specifications, and translate highly complex requirements into technical design and implementation.
                                • Drive business process improvement efforts across the Data Platform Management team to ensure that standardization, efficiencies, and best practices are employed
                                • Leverage systems, automation and other solutions as needed.
                                • Collaborate and support team members when needed.
                                • Participate in all aspects of the QA life cycle, with a focus on agile methodologies.
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed in this role. We'd love to work with you if you have:

                                +

                                +
                                • Data mining skills in Python, Spark, Hive/Hadoop, and/or SQL (must have skills)
                                • Experience building and maintaining Power BI or Tableau dashboards (must have skills)
                                • Excellent analytical and problem-solving skills to synthesize and summarize large data sets gathered from multiple sources.
                                • High attention to detail to ensure data and reporting are accurate, complete, and meet stakeholder needs.
                                • Experience with public cloud solutions like AWS, Azure, or Google Cloud Platform would be an asset.
                                • Experience with data and metadata management principles and tools (Collibra, Informatica)
                                • Spanish language fluency is a highly preferred asset
                                • Bachelor (equivalent or higher) degree in Data Analytics, Business, Statistics, Mathematics, Computer Science, or Engineering
                                • Advanced Microsoft Office, Microsoft Visio software or equivalent tools an asset
                                • Experience with agile delivery frameworks
                                • Experience with the analytics & data project life cycle (e.g. ETL).
                                • Experience with data management principles and tools
                                • Experience with big data technologies (Cloudera/Hortonworks, Cassandra, Spark, other)
                                • Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability would be an asset
                                • Experience with relational databases (Oracle, SQL Server, MySQL, PostgreSQL) would be an asset.
                                • Experience in Cloud Data Solutions would be an asset
                                • Strong working knowledge with project management tools, such as, Confluence, JIRA
                                • +
                                +

                                +

                                What’s in it for you?

                                +

                                +
                                • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
                                • Your career matters! You will have access to career development and progression opportunities.
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platform-Management-Analytics-CID&A-ON-M5H1H1/577218917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,5,250,https://talenthub.vectorinstitute.ai/jobs/300037565-manager-data-platform-management-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platform-Management-Analytics-CID&A-ON-M5H1H1/577218917/,expired,2024-01-11T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +79d382e3-1f15-4724-a69f-11baf1d349d7,312856038,CIBC,Senior Director- Fusion Threat Intelligence,on_site,"Ontario, Canada",2024-03-18T06:24:01.644Z,"

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                @@ -56820,42 +57948,208 @@ c5c47084-846d-4d58-af00-88bbecb06353,313621455,CIBC,Senior Data Scientist (12 mo

                                What You’ll Be Doing

                                -

                                The Director of Data Governance you will lead and manage Canadian Banking (CB) data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets. The position will focus on establishing and ensuring adherence to the CIBC data governance policies and procedures.

                                -

                                As a Director of Data Governance you will have a direct impact on the business by helping to define, develop, and maintain business processes for successful data governance and quality within Commercial Banking.

                                +

                                The Fusion Centre is responsible for protecting our clients and our bank by holistically combatting financial crime threats which cross multiple domains including: the Corporate Security, Information Security and Fraud. By integrating and analyzing cross-pillar intelligence and data, the Fusion Centre develops a more accurate picture of threats and coordinates protective actions to mitigate threats, reduce loss and better enable our client’s ambitions to become a reality. Reporting to the VP, FRG, the Senior Director Fusion Threat Intelligence will lead the development of state of the art Threat Intelligence Team and day to day operations of it.

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                -

                                How you\'ll succeed

                                +

                                How You’ll Succeed

                                  -
                                • -Strategy & Guidance- Provide leadership and guidance on Data Governance initiatives in CB. Facilitate development and take a lead role in implementing the CB data governance roadmap. Take a leadership role in the roll out of CB wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture. Facilitate assignment of roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets in accordance with Enterprise Data Governance policies.
                                • -
                                • -Process Management & KPI Monitoring - Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting critical data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning. Maintain and define artifacts, including but not limited to, an inventory of applications, data governance roles, Data Governance Council materials, Data Custody Agreements (DCA), Data Sharing Risk Assessments (DSRA), Deviations & Deficiencies tracking, escalations, data dictionaries. Lead the development and implementation of data quality standards, data protection standards and adoption requirements across CB. Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements. In conjunction with the data stewards, provide progress reports to management and oversee periodic updates to the CB Data Governance procedures
                                • -
                                • -Project Management - Lead the successful completion of data governance project deliverables. Provide leadership and direction to project and team members, interact and collaborate with team members and other departments as appropriate. Participate in CB Data Governance Council meetings providing program updates, informing of Policy and Standard changes, identification of quality issues, review of data intensive projects, status of remediation efforts and other program activities. Provide regular status reports to senior management regarding ongoing data management activities, performance metrics, issues and other program activities to enable awareness and tracking of program compliance and remediation efforts.
                                • +
                                • Build a global Fusion Intelligence function - Lead the creation, implementation and operation of the Fusion Intelligence capability within Fusion as a centralized threat intelligence team to effectively monitor and asses CIBC’s external environment for threats that pose significant financial, regulatory, and reputational risk to CIBC.

                                • +
                                • Strategic Development & Execution- Establish strategic-level intelligence collection, a series of intelligence products, and a centralized methodology for effective intelligence product dissemination and management for the enterprise. Develop and manage relationships with executives and business leaders, including guiding collaboration with security pillars; providing knowledge of intelligence best practices and advanced collection and analysis techniques. Accountable for the development of the Intelligence team’s processes, technology and data capabilities to support the effective operation of the Fusion Centre. This includes building and maintaining core intelligence functions, developing a holistic view of the threat landscape by recognizing connection between the various teams, including Fraud, Cyber Security, Physical Security, Insider Threats, Crisis Management and AML to mitigate risks and minimize the impact of financial crime activities.

                                • +
                                • Relationship Management: Partner with enterprise teams, including Corporate Security, Information Security and Fraud Management to continuously share knowledge and technologies, assess potential gaps for transitional crimes, build detection tools to ensure ongoing defense against criminal activities and enhanced decision making. Act as steward and advisor to the business on all aspects of security and financial crimes, providing senior executives with a clear view of the financial crime landscape and timely recommendations on current and emerging areas of threats based on fact-based intelligence and analytics, aggregate monitoring, case management and insights from internal and external partners. Coordinate Fusion Intelligence activities with functional leaders as required. Manage and communicate key activities to senior executives across CIBC which will include the development of dashboards that can relay important information on a timely basis. Interface with external stakeholders, including but not limited to law enforcement, government bodies and peer financial institutions.

                                -

                                Who you are

                                +

                                Who You Are

                                  -
                                • -You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.
                                • -
                                • You\'re passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.
                                • -
                                • -You love to learn. You\'re passionate about growing your knowledge. You have a strong sense of curiosity.
                                • -
                                • -You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                                • -
                                • -You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                • -
                                • -You act like an owner. You thrive when you\'re empowered to take initiative, go above and beyond, and deliver results.
                                • -
                                • -You have experience of 5+ years with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, governance/quality metrics development & reporting, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management. It’s an asset if you have atleast 3 years process engineering experience.
                                • -
                                • -Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. You have well-developed communication skills – Written and verbal skills to convey technical information in understandable terms as well as convey thoughts and ideas clearly and in a compelling manner.
                                • -
                                • -You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way
                                • -
                                • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability
                                • +
                                • You can demonstrate experience in- Threat intelligence with a focus on cybersecurity, fraud, or physical security including management roles, as well as experience with financial crimes trends, current protocols and standards. A blend of public and private sector experience in Threat Intelligence is ideal.

                                • +
                                • You\'re an exceptional problem solver- You creatively develop unique approaches and solutions that are necessary to address complex problems.

                                • +
                                • You are a bold and accountable leader - You\'re passionate about developing and coaching to bring out the best in people. You have led diverse, high performing team.

                                • +
                                • You are an expert communicator - You have excellent communication and interpersonal skills, both oral and written, required to represent CIBC’s security needs, as enterprise-wide standards and policies are developed.

                                • +
                                • You\'re driven by collective success - You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                • +
                                • Values matter to you - You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • +
                                +

                                +

                                Prior to starting in this role, security checks, including a criminal record check must be successfully completed to the satisfaction of CIBC. An annual criminal record check may also be required.

                                +

                                +

                                What CIBC Offers

                                +

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                +
                                  +
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • +
                                +

                                +

                                *Subject to plan and program terms and conditions

                                +

                                +

                                What you need to know

                                +
                                  +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • +
                                +

                                +

                                +

                                +

                                +

                                +

                                Job Location

                                Toronto-CC East 12th Floor

                                +

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                +

                                Skills

                                Accountability, Communication, Cybersecurity, Cyber Threat Intelligence, Information Security, Teamwork
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-CC-East-12th-Floor/Senior-Director--Fusion-Threat-Intelligence_2311282-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-03-28T06:29:03.751Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/312856038-senior-director-fusion-threat-intelligence-at-cibc,,expired,2024-03-18T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +c5c47084-846d-4d58-af00-88bbecb06353,313621455,CIBC,Senior Data Scientist (12 month Secondment),on_site,"Ontario, Canada",2024-03-21T06:24:02.210Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                +

                                +

                                What You’ll Be Doing

                                +

                                +

                                The Advanced Analytics and AI team is the central hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest in big data technology platforms. We engage in collaborations with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent.

                                +

                                As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                                +

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                +

                                How You’ll Succeed

                                +
                                  +
                                • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                • +
                                • Trusted Analytical Partner: You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                                • +
                                • Ignite innovation, drive actions: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                                • +
                                +

                                +

                                Who You Are

                                +
                                  +
                                • You can demonstrate in. advanced knowledge of predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment along hands-on experience building end-to-end solutions with Large Language Models. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                                • +
                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                • +
                                • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                                • +
                                +

                                +

                                What CIBC Offers

                                +

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                +
                                  +
                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • +
                                +

                                +

                                *Subject to program terms and conditions

                                +

                                +

                                +

                                What you need to know

                                +
                                  +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                • +
                                +

                                +

                                +

                                Expected End Date

                                2025-04-25

                                +

                                Job Location

                                Toronto-81 Bay, 21st Floor

                                +

                                Employment Type

                                Temporary (Fixed Term)

                                +

                                Weekly Hours

                                37.5

                                +

                                Skills

                                Big Data, Databricks Platform, Data Science, Data Visualization, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Data Modeling, Structured Query Language (SQL)
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--12-month-Secondment-_2406599?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-03-28T06:29:03.751Z,False,0,3,43,https://talenthub.vectorinstitute.ai/jobs/313621455-senior-data-scientist-12-month-secondment-at-cibc,,expired,2024-03-21T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +276cb146-8549-4c40-ae44-bc50679fc5ee,309255124,Air Canada,"Solution Architect, Data & Analytics",on_site,"Toronto, ON, Canada",2024-02-29T19:18:48.956Z,"

                                Job Description

                                +

                                Description

                                +

                                Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

                                +

                                This position may be located in Toronto or Montreal

                                +

                                Are you looking to travel the world, work with amazing colleagues, in a positive work environment that promotes a learning culture?

                                +

                                The Solution Architect – Data & Analytics will lead the Data engineering, ETL/ELT and BI team in translation of business strategies and requirements into specific technical solutions, data assets, process designs and identify associated functional requirements. You will play an integral role in the solution definition for analytics solutions and/or project deliveries and assume the overall responsibility for all technical aspects of solution delivery, from inception through design to implementation (including all aspects related to development, infrastructure, data and configuration management perspectives).

                                +

                                Responsibilities:

                                +
                                  +
                                • Create detailed solution design and reviews across relevant stakeholders to ensure alignment to the overall business needs including architecture overview, detailed solution architecture and whenever necessary the architecture decisions and performance testing documents.
                                • +
                                • Analyze, document, and optimize the overall solution architecture by developing design principles, models, plans, internal standards, budgets, and processes aligned to industry best practices.
                                • +
                                • Provide technical oversight and recommendations on data infrastructure (on-premises and Cloud), Data Engineering and BI tool configuration to project teams.
                                • +
                                • Participate in the selection of relevant technologies and products when solicited.
                                • +
                                • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to audiences with limited expertise related to the selected technology.
                                • +
                                • Support the delivery of the solution by providing insights to the development teams and project managers that plan and execute delivery activities.
                                • +
                                • Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work.
                                • +
                                • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards and best practices defined by the enterprise architecture team.
                                • +
                                • Provide architectural leadership to development teams, and serve as the primary architect resource, and provide technical guidance and leadership to all internal and external teams involved in the implementation process.
                                • +
                                • Create solution architecture documents that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with enterprise architects as well as others solution architects.
                                • +
                                • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented.
                                • +
                                • Build standard solution templates for different business use cases.
                                • +
                                +

                                Qualifications

                                +
                                  +
                                • Bachelor’s degree in Information Technology or related field. An advanced degree in a related area, an asset.
                                • +
                                • Minimum of 10 years of IT experience, of which minimum 5 as a solution experience working with integrated Enterprise systems
                                • +
                                • Effective organizational skills with strong attention to detail for production of high-quality deliverables
                                • +
                                • Strong Knowledge of ETL/ELT frameworks using Talend, Azure Data Factory, Databricks Notebooks(Pyspark).
                                • +
                                • Strong knowledge in warehousing concepts and Snowflake based Enterprise Warehouse.
                                • +
                                • Strong knowledge of Azure based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, Events hub.
                                • +
                                • Highly advanced expertise with data manipulation and visualization tools such as Power BI, Tableau or other.
                                • +
                                • Must have some experience in at least one of the following RDBMS environments: MS SQL Server, Oracle.
                                • +
                                • Expert knowledge of SQL and demonstrated ability to apply SQL creatively to a wide variety of business requirements.
                                • +
                                • Strong Knowledge of ETL/ELT tools such as Talend, Informatica, SSIS, or other as well as standards and best practices for ETL development.
                                • +
                                • Knowledge on designing and implementing real time ingestion and processing framework.
                                • +
                                • Proficient in building secure architecture using: Encryption, azure key vault, Access control, Network security, Advanced data security.
                                • +
                                • Organizing and maintaining data processes to meet ongoing data warehouse lifecycle needs.
                                • +
                                • Knowledge of Dimensional Data Modelling, Data marts, Data Vault 2.0 modeling.
                                • +
                                • Knowledge of Master Data and Reference Data concepts and solutions
                                • +
                                • Knowledge of Big Data concepts, Cloud Solutions such as Azure, AWS or GCP.
                                • +
                                • Good knowledge of Data Governance principles & tools such as Collibra.62Strong analytical, decision-making skills and demonstrated ability to learn new tools and systems.
                                • +
                                • Knowledge in APIs, web services concepts, standards and JSON, XML, XML Schema.
                                • +
                                • Experience in designing and implementing large server software with particular attention to security, scalability, and high performance.
                                • +
                                • Ability to work across multiple technical teams to set direction and priority.
                                • +
                                • Ability to work independently and as part of a team while demonstrating initiative and using good business acumen.
                                • +
                                • Ability to motivate and integrate team members, Team player with effective interpersonal skills.
                                • +
                                • Experience working within multidisciplinary and collaborative environments.
                                • +
                                +

                                Conditions of Employment:

                                +
                                • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                +

                                Linguistic Requirements

                                +

                                Based on equal qualifications, preference will be given to bilingual candidates.

                                +

                                Diversity and Inclusion

                                +

                                Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

                                +

                                As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

                                +

                                Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

                                ",,https://careers.aircanada.com/jobs/13593710-solution-architect-data-and-analytics,aitalent@vectorinstitute.ai,https://careers.aircanada.com/,,,2024-03-30T19:18:51.255Z,False,0,7,256,https://talenthub.vectorinstitute.ai/jobs/309255124-solution-architect-data-analytics-at-air-canada,,expired,2024-02-29T19:18:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +8b926b1c-e567-4814-990c-29e094db4854,314301085,CIBC,"Director, Data Governance",on_site,"Ontario, Canada",2024-03-25T06:24:01.806Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                +

                                What You’ll Be Doing

                                +

                                +

                                The Director of Data Governance you will lead and manage Canadian Banking (CB) data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets. The position will focus on establishing and ensuring adherence to the CIBC data governance policies and procedures.

                                +

                                As a Director of Data Governance you will have a direct impact on the business by helping to define, develop, and maintain business processes for successful data governance and quality within Commercial Banking.

                                +

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                +

                                How you\'ll succeed

                                +
                                  +
                                • +Strategy & Guidance- Provide leadership and guidance on Data Governance initiatives in CB. Facilitate development and take a lead role in implementing the CB data governance roadmap. Take a leadership role in the roll out of CB wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture. Facilitate assignment of roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets in accordance with Enterprise Data Governance policies.
                                • +
                                • +Process Management & KPI Monitoring - Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting critical data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning. Maintain and define artifacts, including but not limited to, an inventory of applications, data governance roles, Data Governance Council materials, Data Custody Agreements (DCA), Data Sharing Risk Assessments (DSRA), Deviations & Deficiencies tracking, escalations, data dictionaries. Lead the development and implementation of data quality standards, data protection standards and adoption requirements across CB. Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements. In conjunction with the data stewards, provide progress reports to management and oversee periodic updates to the CB Data Governance procedures
                                • +
                                • +Project Management - Lead the successful completion of data governance project deliverables. Provide leadership and direction to project and team members, interact and collaborate with team members and other departments as appropriate. Participate in CB Data Governance Council meetings providing program updates, informing of Policy and Standard changes, identification of quality issues, review of data intensive projects, status of remediation efforts and other program activities. Provide regular status reports to senior management regarding ongoing data management activities, performance metrics, issues and other program activities to enable awareness and tracking of program compliance and remediation efforts.
                                • +
                                +

                                +

                                Who you are

                                +
                                  +
                                • +You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.
                                • +
                                • You\'re passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.
                                • +
                                • +You love to learn. You\'re passionate about growing your knowledge. You have a strong sense of curiosity.
                                • +
                                • +You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                                • +
                                • +You know that details matter. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                • +
                                • +You act like an owner. You thrive when you\'re empowered to take initiative, go above and beyond, and deliver results.
                                • +
                                • +You have experience of 5+ years with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, governance/quality metrics development & reporting, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management. It’s an asset if you have atleast 3 years process engineering experience.
                                • +
                                • +Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise. You have well-developed communication skills – Written and verbal skills to convey technical information in understandable terms as well as convey thoughts and ideas clearly and in a compelling manner.
                                • +
                                • +You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way
                                • +
                                • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability

                                What CIBC Offers

                                @@ -59667,6 +60961,637 @@ bbdb52f1-7aa4-4d8f-b869-50635cb91751,316347325,Thomson Reuters,"AI & ML Software

                                Qualifications

                                Skills

                                Behaviors

                                :

                                Motivations

                                :

                                Education

                                Experience

                                Licenses & Certifications

                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=8419d9d7-4f69-40d0-a295-b903bfdfad0d,feed-importer@jobboard.io,,,,2024-05-06T20:57:00.000Z,False,0,12,90,https://talenthub.vectorinstitute.ai/jobs/319369995-web-developer-insights-analytics-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=8419d9d7-4f69-40d0-a295-b903bfdfad0d,expired,2024-04-22T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,Bachelors Degree,New Posting, +4554a632-2eff-4fc6-b9a5-467aefc3049c,327414193,Scotiabank,"Senior Manager, Loyalty Analytics, (1 year contract) - CID&A",on_site,Canada : Ontario : Toronto,2024-06-06T16:28:03.588Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 198607

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                This role requires a blend of data analytics skills and some data engineering expertise to help accelerate the migration of our existing reporting and processes from SAS to Google Cloud Platform (GCP), focusing on BigQuery and notebooks. The ideal candidate will have strong ability to understand and interpret data, ensuring that the rewritten processes yield the same results after migration.

                                +

                                +

                                Is this role right for you? In this role you will:

                                +

                                +
                                • Rewriting existing SAS-based data analytics reports and processes in GCP BigQuery and Notebook.
                                • Identify the appropriate data tables in GCP to replace the existing Enterprise Data Lake structures.
                                • Validate and ensure that the migrated reports generate the same results as the original SAS outputs.
                                • Analyze complex datasets to extract insights and trends, translating them into actionable business intelligence and insights.
                                • Collaborate with business stakeholders and other Data Scientists to ensure that the data and logic used in the reports align with business objectives.
                                • Document the new processes and provide guidelines for future references.
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                +

                                +
                                • 5+ years of work experience in loyalty rewards, business or finance, with people management experience
                                • Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics computer science, or engineering
                                • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related.
                                • Working Knowledge of Hadoop, Big Data, Data Lake and experience in Python, R would be an asset
                                • Good verbal and written communication and presentation skills
                                • Proficient in data visualization tools such as Tableau or Power BI
                                • Excellent analytical, logical, and organizational skills; a drive to understand the relationships between data and activities, draw conclusions and use critical thinking to validate
                                • +
                                +

                                +

                                What's in it for you?

                                +

                                +
                                • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                • A rewarding career path with diverse opportunities for professional development
                                • Internal training to support your growth and enhance your skills.
                                • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                • Hybrid Work Environment
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Loyalty-Analytics%2C-%281-year-contract%29-CID&A-ON-M5C2T6/580619417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-20T20:27:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/327414193-senior-manager-loyalty-analytics-1-year-contract-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Loyalty-Analytics%2C-%281-year-contract%29-CID&A-ON-M5C2T6/580619417/,expired,2024-06-06T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +48da6a1b-518b-4826-a49e-0d04ef6f3cc3,340771289,BMO Financial Group,"BMO Capital Markets, Data & Reporting Analyst (Winter 2025)",on_site,"Ontario, Canada",2024-09-05T06:25:04.123Z,"
                                +

                                Application Deadline:

                                09/08/2024

                                +

                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                BMO Capital Markets

                                +

                                BMO Capital Markets is a leading, full-service North American-based financial services provider offering equity and debt underwriting, corporate lending and project financing, merger and acquisitions advisory services, securitization, treasury management, market risk management, debt and equity research and institutional sales and trading. BMO Capital Markets has over 2,800 professionals in 35 locations around the world, including 23 offices in North America.

                                +

                                +

                                BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$924 billion total assets and approximately 57,000 employees as of April 30, 2023.

                                +

                                +
                                Description
                                +
                                +

                                BMO Capital Markets’ Office of the COO is currently looking for co-op students to support our Data and Analytics Strategy Team.

                                +

                                +

                                The student will be responsible for data-science related support for Capital Markets, enhancing the data and analytics capabilities of the organization. The candidates will help deliver specific technical solutions / tools for sharpening a holistic cross-business lens. Focus will be on augmenting critical first line platforms for which exceptional programming and data science skills are required. Tasks include: consolidating internal and external data relevant to core businesses (data engineering, validation, enhancement); creation and development of analytics and predictive models using large datasets; producing visualizations and select dashboards to clearly articulate insights to decisionmakers. The position is suited for bright, hard-working individuals who enjoy working in a dynamic, fast-paced environment with minimal supervision.

                                +

                                +

                                Qualifications:

                                +
                                  +
                                • We are looking for highly motivated individuals who can work well in a team-based environment
                                • +
                                • Currently in undergraduate studies or masters program with a graduation date of Spring 2026 or onwards. +
                                • +
                                • Strong academic record- minimum 3.4 cGPA
                                • +
                                • Co-op candidates having a background in data science and exposure to Finance/Accounting via coursework or prior work experience is a plus
                                • +
                                • Interest-in, and working knowledge of, capital markets and/or treasury concepts
                                • +
                                • Excellent written and verbal communication skills
                                • +
                                • Above average work ethic and motivation
                                • +
                                • Ability to learn quickly and juggle multiple priorities at the same time
                                • +
                                • Excellent interpersonal and communications skills
                                • +
                                • Strong attention to detail, organized, able to work independently
                                • +
                                • Strong programming skills with prior development experience
                                • +
                                • Comfort working with large data sets; ability to manipulate, conduct analysis, and come to logical conclusions. Be able to communicate and present to the team
                                • +
                                • Solid documentation habits, bias towards explainability
                                • +
                                • Capable of building long-term enterprise implementations vs. academic one-offs
                                • +
                                +

                                +

                                Technical Qualifications:

                                +
                                  +
                                • Web Application Development (C#, ASP .NET, MVC, Web API)
                                • +
                                • Database design and T-SQL for writing queries
                                • +
                                • Candidates must have advanced technical capabilities in Excel, Python, VBA, Java, and SQL.
                                • +
                                • Front-end UI development (HTML, CSS, JavaScript, TypeScript, React)
                                • +
                                • MS Excel
                                • +
                                • Solid understanding of statistical concepts
                                • +
                                +

                                +
                                +

                                Team Overview:

                                +

                                The Business & Client Analytics team is responsible for generating client information for LOBs across BMO Capital Markets to track core clients and grow share of wallet.

                                +
                                  +
                                • Develop and integrate internal and external sources of client information

                                • +
                                • Provide insight and analysis that can be effectively and efficiently mined to support business decision-making

                                • +
                                +

                                +

                                Client Services and Reporting – Weighting: 50%

                                +
                                  +
                                • Develop and implement new reporting for Investment and Corporate Banking and Global Markets

                                • +
                                • Utilize technical skills to efficiently and effectively extract and manipulate data from client databases or other source systems to meet various reporting needs (e.g. weekly, monthly, quarterly, and ad hoc reports)

                                • +
                                • Manage client expectations, and meet agreed upon deadlines; produce work that is timely and accurate. Strive to provide great customer service and anticipate follow-up inquiries

                                • +
                                • Question the integrity of data; delve into data issues raised and work with team members to fix at the source considering the implication on any other data that would be similarly impacted

                                • +
                                • Participate in and contribute to project and team meetings, interacting and collaborating with team members and other departments, as appropriate, in order to understand project requirements

                                • +
                                +

                                +

                                Analytical Insights and Observations – Weighting: 30%

                                +
                                  +
                                • Learn and implement advanced analytics to help resolve priority business problems

                                • +
                                • Utilize knowledge of CM’s businesses, products, and risk measures to provide insight and analysis in support of LOB performance and strategic objectives

                                • +
                                • Perform detailed financial and business analysis as necessary to support Capital Markets

                                • +
                                +

                                +

                                Process Efficiencies – Weighting: 20%

                                +
                                  +
                                • Leverage existing reports and business metrics reported where possible to minimize unnecessary work

                                • +
                                • Assess current practice of generating reports and introduce process efficiencies / automation in database and reporting

                                • +
                                +

                                +

                                How to Apply:

                                +

                                For your application to be eligible for consideration, you must apply to both your career center posting and the BMO application link.

                                +

                                +

                                Please ensure the following items are submitted in your application:

                                +
                                  +
                                • Resume

                                • +
                                • Transcript (Required for application consideration - please upload it in the resume section when applying in BMO’s Workday application system)

                                • +
                                +

                                +

                                +

                                The campus job description above aligns to the full time job description below.

                                +

                                Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                +
                                  +
                                • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                • +
                                • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                                • +
                                • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                • +
                                • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                • +
                                • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                • +
                                • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                • +
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                • +
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • +
                                • Focus may be on a business/group.
                                • +
                                • Thinks creatively and proposes new solutions.
                                • +
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • +
                                • Works mostly independently.
                                • +
                                • Broader work or accountabilities may be assigned as needed.
                                • +
                                +

                                +

                                Qualifications:

                                +

                                Foundational level of proficiency:

                                +
                                  +
                                • Technical design optimization.
                                • +
                                • Decision Making.
                                • +
                                • Systems Thinking.
                                • +
                                • Data visualization.
                                • +
                                • Data storytelling.
                                • +
                                • Data mining.
                                • +
                                • Illustration.
                                • +
                                • Creative thinking.
                                • +
                                • Problem Solving.
                                • +
                                • Insights design.
                                • +
                                • Insights development and reporting.
                                • +
                                • Verbal & written communication skills.
                                • +
                                • Collaboration & team skills.
                                • +
                                • Analytical and problem solving skills.
                                • +
                                • Typically between 3 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • +
                                • Specialized knowledge from education and/or business experience.
                                • +
                                +

                                Please note the salary for this specific position is $60,000 CAD.

                                +
                                +

                                +

                                Salary:

                                +
                                $44,500.00 - $82,500.00

                                +

                                Pay Type:

                                Salaried

                                +

                                The above represents BMO Financial Group’s pay range and type.

                                +

                                +

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                +

                                +

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/BMO-Capital-Markets--Data---Reporting-Analyst--Winter-2025-_R240023351?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-09T06:02:02.030Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/340771289-bmo-capital-markets-data-reporting-analyst-winter-2025-at-bmo-financial-group,,expired,2024-09-05T06:25:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +cb87bb8d-3ce2-433c-b479-00e999d88e3b,337826826,Cohere AI,"Member of Technical Staff, Model Efficiency",on_site,"Toronto, ON, Canada",2024-08-12T16:41:01.768Z,"
                                +
                                Who are we?
                                +
                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                +

                                +
                                We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                +

                                +
                                Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                +

                                +
                                Join us on our mission and shape the future!
                                +

                                +
                                Why this role?
                                +

                                +
                                Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The model efficiency team is responsible for increasing the inference efficiency of our foundation models by improving model architecture and optimizing ML frameworks.
                                +

                                +
                                As an engineer on this team, you’ll work on improving the key model serving metrics including latency and throughput by profiling the system, identifying bottlenecks, and solving problems with innovative solutions.
                                +

                                +
                                +Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. +
                                +

                                +
                                +

                                You may be a good fit for the Model Efficiency team if you have:

                                +
                                    +
                                  • Significant experience in developing high-performance machine learning algorithms or machine learning infrastructure
                                  • +
                                  • Hands-on experience with large language models
                                  • +
                                  • Bias for actions and results
                                  • +
                                  • An appetite to solve challenging machine learning research problems
                                  • +
                                +
                                +

                                It is a big plus if you also have considerable experience with one of these areas:

                                +
                                    +
                                  • Model compression techniques: quantization, pruning, sparsity, low-rank compression, knowledge distillation, etc.
                                  • +
                                  • GPU/Accelerator programming or high-performance computing
                                  • +
                                  • LLM Inference performance modeling
                                  • +
                                  • Machine learning framework internals
                                  • +
                                +
                                +
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                +

                                +
                                +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                +

                                +
                                Our Perks:
                                +
                                🤝 An open and inclusive culture and work environment
                                +
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                +
                                🍽 Weekly lunch stipend, in-office lunches & snacks
                                +
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                +
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                +
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                +
                                🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                +
                                ✈️ 6 weeks of vacation
                                +

                                +
                                Note: This post is co-authored by both Cohere humans and Cohere technology.
                                +
                                ",,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,feed-importer@jobboard.io,,,,2024-09-11T19:26:11.168Z,False,0,9,59,https://talenthub.vectorinstitute.ai/jobs/337826826-member-of-technical-staff-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/9ce64f5b-73f7-4a66-900b-c9dee2c5fba6,expired,2024-08-12T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +13ed7944-eca2-47f1-91d4-5864cc32f4dc,337835307,Canadian Tire,Automation Power User,hybrid,"Toronto, ON, Canada",2024-08-12T19:43:08.413Z,"

                                What you’ll do

                                +

                                The Power Platform Developer designs and implements solutions using Microsoft's Power Platform suite, including Power Apps, Power Automate, and Power BI. They create custom applications, automate processes, and generate insights from data. Collaborating with stakeholders, they gather requirements, develop user-friendly interfaces, integrate data sources, and provide problem-solving expertise to transform business processes and empower users.

                                +
                                  +
                                • Design and develop Power Platform components that can be applied to multiple business processes and challenges within the organization.
                                • +
                                • Support in the development and deployment of automation solutions, while working with support teams to refine business processes.
                                • +
                                • Contribute to a collaborative team environment by facilitating information sharing and team cooperation.
                                • +
                                • Continuously learn development skills and techniques associated with this changing landscape.
                                • +
                                +

                                +

                                What you bring

                                +
                                  +
                                • 4-6 years of progressive experience in Automation Development or Information Management.
                                • +
                                • 2+ years of experience with automation platforms, developing efficient processes and activities across multi-environment infrastructure.
                                • +
                                • Experience developing and customizing applications using Power Apps, including canvas apps and model-driven apps.
                                • +
                                • Created automated workflows using Power Automate to streamline business processes and integrate with various systems and services.
                                • +
                                • Proven expertise in integrating data from multiple sources into the Power Platform ecosystem using various connectors, APIs, databases, etc.
                                • +
                                • Familiarity with Microsoft 365 ecosystem components (SharePoint, Teams, Dynamics 365) is a plus.
                                • +
                                • Expert knowledge of Microsoft Business Intelligence stack including Power BI and Excel.
                                • +
                                • Experience working with Agile development methodology.
                                • +
                                • Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.
                                • +
                                • Willing to establish strong work relationships with clients and team members.
                                • +
                                • Ability to generate ideas and understand different points of view.
                                • +
                                • Analytical approach to problem-solving; ability to use technology to solve business problems.
                                • +
                                • Familiarity with database-centric applications.
                                • +
                                • Ability to communicate effectively in both a technical and non-technical manner.
                                • +
                                • Ability to navigate ambiguity, overcome confusion and simplify complex situations.
                                • +
                                +

                                +

                                Hybrid

                                +

                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                +

                                +

                                About Us

                                +

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

                                +

                                +

                                Our Commitment to Diversity, Inclusion and Belonging

                                +

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                +

                                +

                                Accommodations

                                +

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Automation-Power-User_JR136942,aitalent@vectorinstitute.ai,,,,2024-09-11T19:43:00.000Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/337835307-automation-power-user-at-canadian-tire,,expired,2024-08-12T19:43:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,No Degree,New Posting, +35d8464d-31cc-4a44-9057-0de7e7c8ec00,337371208,EY,Manager - AI and Data - Data Management,on_site,"Toronto, ON, Canada",2024-08-08T21:01:57.002Z,"

                                Job description

                                +

                                Requisition ID: 1527360

                                +

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                +

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                +

                                +

                                The opportunity:

                                +

                                We are seeking a highly skilled and experienced Data Management Manager to join our AI & Data team in technology consulting. The ideal candidate will possess a deep understanding of data management practices, data architecture, and data governance. This role will be responsible for overseeing data quality, data integration, and data lifecycle management, ensuring that our clients can leverage their data assets effectively and efficiently.

                                +

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Lead the design, implementation, and management of robust data management frameworks and practices for clients.
                                • +
                                • Oversee data quality management, ensuring accuracy, consistency, and reliability of data across various systems.
                                • +
                                • Develop and implement data governance policies and procedures to ensure compliance with industry standards and regulations.
                                • +
                                • Manage data integration processes, including ETL (Extract, Transform, Load) development, to support seamless data flow across systems.
                                • +
                                • Develop automation scripts for testing and remediating data issues, ensuring continuous monitoring and maintenance of data quality.
                                • +
                                • Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts, to align data initiatives with business objectives.
                                • +
                                • Provide strategic direction and technical expertise in data architecture and data modeling.
                                • +
                                • Drive the development and maintenance of data management tools and technologies.
                                • +
                                • Conduct data assessments to identify and remediate data issues.
                                • +
                                • Mentor and lead a team of data management professionals, fostering a culture of excellence and continuous improvement.
                                • +
                                +

                                +

                                Qualifications:

                                +
                                  +
                                • Bachelor’s degree in data science, Computer Science, Information Technology, or a related field; Master’s degree preferred.
                                • +
                                • 5+ years of experience in data management, data architecture, and data governance.
                                • +
                                • Proven experience in data quality management and data integration.
                                • +
                                • Strong knowledge of data governance frameworks and regulatory compliance.
                                • +
                                • Proficient in data modeling, ETL processes, and data lifecycle management.
                                • +
                                • Excellent communication and collaboration skills, with the ability to interact effectively with clients and stakeholders at all levels.
                                • +
                                • Strong analytical and problem-solving abilities.
                                • +
                                • Regulatory compliance and privacy program development and implementation experience in Financial Service Industry is highly desirable.
                                • +
                                • Certifications in data management (e.g., DAMA Certified Data Management Professional) are a plus.
                                • +
                                +

                                Technical Skills:

                                +
                                  +
                                • Data management tools and technologies (e.g., Informatica, Cognos)
                                • +
                                • Data integration and ETL processes
                                • +
                                • Data quality management
                                • +
                                • Data governance frameworks
                                • +
                                • Data architecture and modeling
                                • +
                                • SQL and other database management systems
                                • +
                                • SAS, Cognos experience is highly desirable
                                • +
                                • Knowledge of AI and machine learning concepts is a plus
                                • +
                                +

                                +

                                Why Join Us:

                                +
                                  +
                                • Opportunity to work with a prestigious Big 4 consulting firm.
                                • +
                                • Engage in high-impact projects with leading global clients.
                                • +
                                • Access to continuous learning and professional development opportunities.
                                • +
                                • Competitive compensation and benefits package.
                                • +
                                • A collaborative and inclusive work environment.
                                • +
                                +

                                +

                                Ideally, you’ll also have

                                +
                                  +
                                • Strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software and network
                                • +
                                • A high level of motivation, strong work ethic and self-starting attitude.
                                • +
                                +


                                What we look for

                                +

                                +

                                We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the AI&Data Advisory space. If you have a strong passion for helping businesses achieve their AI&Data strategy, support this transformation and modernization journey, this role is for you.

                                +

                                +

                                What we offer

                                +

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                +
                                  +
                                • The opportunity to manage a portfolio of talent within a designated service line
                                • +
                                • A collaborative environment where everyone works together to create a better working world
                                • +
                                • Excellent training and development prospects, both through established programs and on-the-job training
                                • +
                                • An excellent team of senior colleagues, dedicated to managing and varying your workload
                                • +
                                +

                                +

                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +

                                EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Manager-AI-and-Data-Data-Management-ON-M5H-0B3/1102512201/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-07T21:02:00.234Z,False,0,6,38,https://talenthub.vectorinstitute.ai/jobs/337371208-manager-ai-and-data-data-management-at-ey,,expired,2024-08-08T21:01:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +3e1b6dfb-11b0-4dbd-9bcd-3bf57171bb23,337289167,KPMG,"Senior Manager, Technology (Data), Ops M&A, Advisory",on_site,"Toronto, Canada",2024-08-08T16:34:02.287Z,"Overview

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                KPMG's Technology Mergers & Acquisitions (M&A) is a service within KPMG’s Strategy and Deal Execution, Deal Advisory practice that helps clients gain value from every phase of their merger, acquisition, carve-out or divestment. We offer an understanding and use of technology as a lever within transactions, in order to provide a competitive bid advantage, increase deal value, minimize future operating costs or to provide greater integrity during a transition. The team advises clients across various areas of IT, including applications, data, infrastructure, and cyber security, with a focus on diverse set of industries, including Technology, Financial Services, Insurance, Healthcare, Energy, Construction, and Manufacturing. As the demand for our expertise grows, we are expanding our Technology M&A team to better serve our clients' evolving needs.

                                Our clients are typically private equity funds, pension funds, large public companies, and private corporations, across a wide variety of industries.

                                Learn more about KPMG’s Strategy and Deal Execution practice here.

                                Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?


                                What you will do

                                As Senior Manager, Technology (Data) M&A, located in our Toronto office, you will:

                                  +
                                • +Scope, lead, manage and deliver Technology M&A engagements by working with the team on:
                                    +
                                  • Technology/IT Due Diligence for buy and sell-side transactions.
                                  • +
                                  • Technology/IT Separation planning for sell-side divestments/carve-outs.
                                  • +
                                  • Technology/IT Synergy planning and integration for buy-side mergers and acquisitions.
                                  • +
                                  • +Technology/IT Transition planning, including Day 1 and Day 100 support.
                                  • +
                                  +
                                • +
                                • +Lead large cross-functional engagement teams in a fast-paced, time sensitive environments. +
                                • +
                                • Play a strong supporting role in business development initiatives, including presentations, client meetings, and contributing to practice development initiatives.
                                • +
                                • Lead transactions, implementing change, and/or business improvement projects.
                                • +
                                • +Establish and build effective working relationships with senior client executives, including Chief Executive Officers, Chief Financial Officers and Chief Operating Officers, and work closely with senior client teams. +
                                • +

                                What you bring to the role

                                Functional Skills:

                                  +
                                • +Substantial relevant professional services and advisory experience in Technology consulting and/or system migrations for a variety of clients and industries in one or more of the following environments: corporate, consulting, and/or private equity +
                                • +
                                • Industry experience in a senior IT role with a focus on data strategy, management, and execution
                                • +
                                • +Deep understanding of business operations, including financial literacy and ability to translate complex data and information into meaningful insights. +
                                • +
                                • +Outstanding abilities in client interaction and interpersonal communication to establish productive working connections. Clear written and oral communication skills to present and synthesize key information. +
                                • +

                                Technical Skills:

                                  +
                                • Full lifecycle experience of performing large scale data migrations for structured and unstructured data, including at least one ERP migration.
                                • +
                                • Experience with data integration and migration approaches and best practices, including ELT (Extract, Load, Transform) and data pipelines.
                                • +
                                • Deep understanding of data structures, data architecture, modeling, and database schema
                                • +
                                • Comprehensive understanding of database management systems (DBMS), including relational and NoSQL, and experience of multiple related tools, such as Oracle, MySQL, and MongoDB
                                • +
                                • Familiarity with cloud environments and data migration tools, for example, AWS Glue, Azure Data Factory, Google Cloud Dataflow).
                                • +
                                • Knowledge of Agile/DevOps and programming languages such as SQL, Python, and Java for scripting and automating migration tasks
                                • +
                                • Knowledge of data protection laws and regulations (e.g., PIPEDA, GDPR, HIPAA) to ensure compliance during the migration process.
                                • +
                                • Understanding of data security best practices to safeguard sensitive information during and after migration, including encryption at rest and encryption in transit.
                                • +

                                #LI-ET1

                                Providing you with the support you need to be at your best

                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                Our Values, The KPMG Way

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                Adjustments and accommodations throughout the recruitment process

                                At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                For information about accessible employment at KPMG, please visit our accessibility page.

                                ",,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-09-07T19:27:49.492Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/337289167-senior-manager-technology-data-ops-m-a-advisory-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23301?lang=en-us,expired,2024-08-08T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +ab9bd06b-c322-4a33-a01c-43632a081330,321636344,Scotiabank,Business Analyst MIS & Analytics - Tahoe,on_site,Canada : Ontario : Mississauga,2024-05-06T16:28:02.768Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 198582

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job

                                +

                                Join the Global Community of Scotiabankers to help customers become better off. Position is responsible to maintain data extraction processes, data transformation and reporting development of various programs in RBBO. In addition, position is responsible to generate ad-hoc reports and analytics as well as executive reports

                                +

                                +

                                Is this role right for you? In this role you will:

                                +

                                +
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                • Assist to analyze, create, and maintain Power BI reports.
                                • Create guides and documentation about the different data sources and metrics.
                                • Investigate discrepancies and reconcile source data using SQL.
                                • Assist to develop new, insightful reporting (Monthly and ad-hoc reports) and maintain existing reporting process in Power BI.
                                • Develop and enhance visual dashboards to assist with ongoing assessment and development of continuous tracking for operational groups.
                                • Provide support on existing tools and manual processes.
                                • Prepare detailed documentation to outline data sources, tools, and results.
                                • Work collaboratively with both the team and senior management on larger projects.
                                • Support ad hoc analysis requests as required.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
                                • Champions a high-performance environment and contributes to an inclusive work environment.
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                +

                                +
                                • University degree or equivalent, preferably with emphasis on statistics, business, computer science and/or mathematical curriculum
                                • < 1 years working experience.
                                • Familiarity with advanced Excel functionality, and software languages such as SQL, C#, VBA, and/or Python
                                • Experience with reporting tools such as SSRS, and Power BI or Tableau would be nice to have.
                                • Experience with agile project management and risk prioritization would be nice to have.
                                • Excellent writing, presentation, and analytical skills related to business operational needs.
                                • Uses an analytical approach to problem solving, with a focus on managing a global team environment.
                                • Exemplary integrity and ethics in all instances.
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Mississauga

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Mississauga-Business-Analyst-MIS-&-Analytics-Tahoe-ON-L4W0B5/580635717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-13T16:33:04.225Z,False,0,19,94,https://talenthub.vectorinstitute.ai/jobs/321636344-business-analyst-mis-analytics-tahoe-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Business-Analyst-MIS-&-Analytics-Tahoe-ON-L4W0B5/580635717/,expired,2024-05-06T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +126b467f-f876-427b-9666-c9d32488b873,321091437,TELUS,L4 Data Management (Engineer),on_site,"Ontario, Canada",2024-05-03T01:36:02.151Z,"
                                +
                                +

                                Description

                                +
                                +

                                +

                                Our team and what we’ll accomplish together

                                +

                                +

                                You are an experienced technologist who can drive thought leadership and execution. You must have data engineering and/or data science experience leveraging Python and CI/CD environments, as well as experience with data solutions such as Google BigQuery and relational databases.

                                +

                                +

                                The Martech and Platform team, as part of TELUS Consumer Solutions Campaign Management, is responsible for transforming the marketing technology (martech) stacks used for marketing and campaigns. Together we can evolve our technology to enable real-time and orchestrated omni-channel communications to ensure that our customers receive the most relevant messaging to them, which will also drive the desired business outcomes.

                                +

                                +

                                What you’ll do

                                +

                                +
                                  +
                                • Help build and maintain a scalable, cloud-based marketing infrastructure that offers a best-in-class experience for customers as well as internal stakeholders
                                • +
                                • Enable robust data pipelines to enable both batch and real-time campaigns
                                • +
                                • Foster continuous systems transformation as we migrate infrastructure and applications to the Cloud
                                • +
                                • Build expertise in the team across data platforms in the cloud
                                • +
                                • Manage our cloud assets with best-in-class data security and privacy
                                • +
                                • Implement automation and monitoring tools through a test-driven approach and mindset
                                • +
                                • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                                • +
                                +

                                +

                                +
                                +
                                +
                                +

                                Qualifications

                                +
                                +

                                +

                                What you bring

                                +

                                +
                                  +
                                • 10+ years of experience of IT platform implementation in a technical capacity
                                • +
                                • 5+ years’ of experience with cloud architectures and platforms: GCP, Amazon or Azure (GCP gives you an edge!), leveraging CI/CD technologies, such as GitHub, and Infrastructure-as-Code standards, such as Terraform or Pulumi
                                • +
                                • Expert understanding of data warehouses/cloud architectures and ETL processes, leveraging Spark, Airflow, Google Workflows or similar data pipeline technologies
                                • +
                                • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                • +
                                • Experience with Python and software engineering best practices
                                • +
                                • Proven track record in leading data platform projects
                                • +
                                • Ready to work in new and challenging work environments
                                • +
                                • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                • +
                                • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                • +
                                • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                • +
                                • Working in cross-functional teams with exemplary communication and coordination skills
                                • +
                                • Proving your analytical skills with root cause analysis of issues
                                • +
                                • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
                                • +
                                • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                                • +
                                +

                                +

                                Great-to-haves

                                +

                                +
                                  +
                                • Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                • +
                                • Machine learning and data science knowledge
                                • +
                                +

                                +

                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-L4-Data-Management-%28Engineer%29-ON-M5J-2V5/580530517/,feed-importer@jobboard.io,,,,2024-05-13T23:02:00.000Z,False,0,3,49,https://talenthub.vectorinstitute.ai/jobs/321091437-l4-data-management-engineer-at-telus,,expired,2024-05-03T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,No Degree,New Posting, +ea2ff8a6-0696-4a31-9997-23b58f051c91,320375552,BMO Financial Group,"Senior Risk Analyst, Counterparty Credit Risk",on_site,"Ontario, Canada",2024-04-30T01:06:02.718Z,"
                                +

                                Application Deadline:

                                05/10/2024

                                +

                                +

                                Address:

                                250 Yonge Street

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +
                                +

                                +

                                General Accountabilities +

                                +

                                +
                                  +
                                • Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products.
                                • +
                                • Applies knowledge of analytics algorithms and technologies to maintain forward looking models and analytic solutions that ensure risks are properly identified.
                                • +
                                • The Candidate\'s focus will be concentrated on counterparty credit risk measures, which are critical to business decisions, develop and improve key processes related to assessing and reporting of risk measures, and establish and maintain productive relationships with the lines of business (trading, risk oversight, portfolio management, and upper management).
                                • +
                                +

                                +

                                Specific accountabilities: +

                                +
                                  +
                                • Calculate counterparty credit risk on non-standard deals that present unique features in timeliness manner
                                • +
                                • Understand and identify potential weakness of existing pricing models and trade processing; propose and test possible improvements adapted to counterparty credit risk constraints
                                • +
                                • Liaise with trading, line of business, risk oversight, and operations to ensure proper deal understanding and to resolve any specific deal-related problems that may arise
                                • +
                                • Provide assistance, guidance and management in ad-hoc projects within the group +
                                • +
                                • Develop and apply scripting/programming to automate processes which serve a variety of tasks ranging from data gathering to generating automated reports
                                • +
                                • Work with Market Risk Oversight, Stress and Reporting team to delivery the regulatory reports and stressed exposure result
                                • +
                                +

                                CROSS-FUNCTIONAL RELATIONSHIPS: +

                                +
                                • T&O project managers and business analysts +
                                +
                                +

                                +
                                  +
                                • Counterparty Credit Risk Model Development team +
                                • +
                                • Risk Oversight and Market Risk Stress Testing team +
                                • +
                                • Corporate Risk Management directors and managers +
                                • +
                                • LoB
                                • +
                                • Credit Portfolio Managers and Account Managers +
                                • +
                                • External system software vendors +
                                • +
                                +

                                +

                                ROLE DIMENSIONS: +

                                +

                                +

                                This role has direct or in-direct impact on the following financial measures:

                                +
                                  +
                                • Counterparty credit risk exposure measurements +
                                • +
                                • Economic and regulatory capital +
                                • +
                                +

                                +

                                +

                                KNOWLEDGE AND SKILLS: +

                                +

                                Describe the knowledge and skills required for successful performance. Refer to the Role Definition Guide for definitions.

                                +

                                Knowledge:

                                +
                                  +
                                • Quantitative (mathematical and/or statistical and/or computer science); +
                                • +
                                • Finance;
                                • +
                                • Economics;
                                • +
                                • Financial markets and products; +
                                • +
                                • Programming – Proficient with Python. Better to know Django, PowerBI, SQL, and VBA; +
                                • +
                                • Understanding and experience with risk management methodologies and measurements systems; +
                                • +
                                +

                                +

                                +

                                Skills:

                                +
                                  +
                                • 1 and up years of related work experience, preferably in a financial institution +
                                • +
                                • MSc in a technical field, i.e., quantitative finance, statistics, engineering, applied mathematics +
                                • +
                                • Excellent analytic and troubleshooting skills +
                                • +
                                • Good technical and computer skills +
                                • +
                                • Excellent oral and written communication skills +
                                • +
                                • Ability to meet deadlines +
                                • +
                                • Strong critical thinking skills +
                                • +
                                • Good understanding and experience with risk management methodologies, financial markets and products
                                • +
                                • Ability to work in teams +
                                • +
                                +

                                +

                                +

                                +

                                Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                +
                                  +
                                • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                • +
                                • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                • +
                                • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                • +
                                • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                • +
                                • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                • +
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                • +
                                • Conducts quantitative research in risks across strategies and portfolios.
                                • +
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • +
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • +
                                • Works independently on a range of complex tasks, which may include unique situations.
                                • +
                                • Broader work or accountabilities may be assigned as needed.
                                • +
                                +

                                +

                                Qualifications:

                                +

                                Foundational level of proficiency:

                                +
                                  +
                                • Regulatory capital and stress testing.
                                • +
                                • Compliance and regulation.
                                • +
                                • Machine learning.
                                • +
                                • Learning Agility.
                                • +
                                • Systems Thinking.
                                • +
                                • Model risk management.
                                • +
                                • Data visualization.
                                • +
                                • Data wrangling.
                                • +
                                • Data preprocessing.
                                • +
                                • Critical thinking.
                                • +
                                • Driving Results.
                                • +
                                +

                                Intermediate level of proficiency:

                                +
                                  +
                                • Quantitative financial modeling.
                                • +
                                • Computational thinking and programming.
                                • +
                                • Verbal & written communication skills.
                                • +
                                • Collaboration & team skills.
                                • +
                                • Analytical and problem solving skills.
                                • +
                                • Data driven decision making.
                                • +
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • +
                                • Technical proficiency gained through education and/or business experience.
                                • +
                                +
                                +

                                +

                                Compensation and Benefits:

                                +
                                $65,400.00 - $121,800.00

                                +

                                Pay Type:

                                Salaried

                                +

                                The above represents BMO Financial Group’s pay range and type.

                                +

                                +

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                +

                                +

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Risk-Analyst--Counterparty-Credit-Risk_R240011332?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-13T23:00:00.000Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/320375552-senior-risk-analyst-counterparty-credit-risk-at-bmo-financial-group,,expired,2024-04-30T01:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 4acb3914-9ca6-4de5-905a-03b0b5003886,322342116,Canadian Tire Corporation,Senior Financial Data Analyst,on_site,"Ontario, Canada",2024-05-10T06:44:01.616Z,"

                                What you’ll do

                                The Senior Financial Data Analyst role is an exciting interdisciplinary role where you will be responsible for store labour planning, as well as providing analytical support for strategic initiatives and operational efficiencies. The incumbent will present relevant analysis and prepare reports that support various levels of the organization from store managers to senior executives. The ideal candidate should be comfortable working with large sets of data and possess familiarity with forecasting, budgeting, and planning activities within a typical FP&A role. This position will frequently collaborate with the Store Operations leadership teams in SportChek and Mark’s. It provides opportunities to gain insights into advanced analytics, machine learning, and automation as applied to finance and store operations processes.

                                @@ -60361,144 +62286,6 @@ b03e5f08-a203-49ee-a64c-c6ad556f24e5,340695979,BELL MOBILITY/BELL MOBILITÉ,Seni

                                Created: Canada, ON, Toronto

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA420014EXTERNALENCA/Sr-Manager-Data-Governance-and-Architecture?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-09-14T21:30:03.157Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/340695997-sr-manager-data-governance-and-architecture-at-bell-canada,BECACA420014EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Manager,Masters Degree,New Posting, -273f654d-2049-4331-abe9-8e58c9aaba41,342711330,Accenture,Data Governance Specialist,on_site,"Toronto, ON, Canada",2024-09-19T12:37:02.103Z,"
                                -

                                Job Description

                                -
                                -

                                We are:

                                -

                                The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                -

                                Stronger together!

                                -

                                The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                -

                                The value for our clients and our people

                                -

                                For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                -

                                For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                -


                                The Work:

                                -

                                -
                                  -
                                • Develop and implement data governance policies, standards, and procedures to ensure the quality, integrity, and security of data assets.
                                • -
                                • Collaborate with stakeholders to establish data governance frameworks and define data management strategies aligned with business goals and regulatory requirements.
                                • -
                                • Define data ownership, stewardship, and accountability roles within the organization.
                                • -
                                • Develop and maintain metadata management processes to catalog and document data assets, including data lineage, definitions, and usage. Conduct data quality assessments and root cause analyses to identify and address data issues.
                                • -
                                • Facilitate data governance forums and working groups to promote awareness, communication, and collaboration across departments.
                                • -
                                • Provide training and support to data stewards and data custodians on data governance principles, policies, and procedures.
                                • -
                                -

                                -

                                #LI-NA

                                show more show less
                                -
                                -
                                -

                                Qualifications

                                -
                                -
                                -

                                Here’s what you need:

                                -
                                  -
                                • 3+ years’ experience with data quality tools and techniques, including data profiling, cleansing, and remediation. Analytical mindset with the ability to identify and solve complex data-related issues.
                                • -
                                • Relevant exposure to Cloud Platforms (AWS/Azure/GCP), Databricks and Snowflake
                                • -
                                • 3+ years’ experience working with relational databases like MySQL etc.
                                • -
                                • 2+ years exposure to Data Management Platforms such as IICS.
                                • -
                                • 2+ years’ experience Collaborating with cross-functional teams to understand business requirements and manage data Teams .
                                • -
                                • This role is based in our Local ATCs and will require on-site 2-3 days per week.
                                • -
                                • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                • -
                                -
                                -
                                -
                                -

                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                -
                                -

                                Our Commitment to Inclusion & Diversity

                                -

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                -

                                Other Employment Statements

                                -

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                -

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                -
                                -
                                Share
                                -
                                Share
                                -
                                Job Link:
                                Copy
                                -
                                -
                                -
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228404_en&title=Data%20Governance%20Specialist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,7,52,https://talenthub.vectorinstitute.ai/jobs/342711330-data-governance-specialist-at-accenture,,expired,2024-09-19T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, -e2752404-7827-4af0-bd71-3840aaee58d4,345757416,RBC,Senior Data Scientist,on_site,"Toronto, ON, Canada",2024-10-10T08:20:02.570Z,"
                                -

                                Job Summary

                                -

                                - -

                                Job Description

                                -

                                What is the opportunity?

                                - -

                                The Personal Banking & Commercial Banking Data Strategy team is looking for a passionate and innovative Senior Data Scientist within our data asset team. As a Data Scientist you will train, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. You will collaborate with a highly talented team of data engineers, data scientists, data architects, and data analysts to deliver business value to the organization. You will develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Design, build, validate, deploy, and analyze advanced models using machine learning, AI, and statistics end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance.
                                • -
                                • Work with big data, and cloud technologies such as Spark, Hadoop, and AWS environment (SageMaker, S3, Redshift)
                                • -
                                • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using SQL queries with complex joins, groupings, and aggregations.
                                • -
                                • Partner with RBC internal partners and lines of businesses (Digital Marketing, Programmatic Media) to help them frame use cases and define success metrics (Key Performance Indicators).
                                • -
                                • Document and Validate model design and performance to ensure quality and scalability of all models.
                                • -
                                • Monitor model performance and business success metrics over time.
                                • -
                                • Be responsible for researching new capabilities and technologies to drive innovation.
                                • -
                                • Work closely with development teams to learn about needs, current processes and to promote best practices.
                                • -
                                -

                                -

                                What do you need to succeed?

                                -

                                Must Have

                                -
                                  -
                                • Master\'s degree in Statistics, Economics, Marketing (Quantitative Workstream) Mathematics, or related quantitative field
                                • -
                                • 3+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing
                                • -
                                • Strong foundation in statistics, probability, and machine learning (including deep learning), especially in areas like: Causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, propensity modelling, attrition modelling, attribution, segmentation, CLV, and behavioural analytics.
                                • -
                                • Professional software development experience with Spark, Hadoop, AWS Cloud (SageMaker, S3, Redshift), GitHub and SQL
                                • -
                                • Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow/pytorch, etc.)
                                • -
                                • Able to clearly convey technical concepts and results to both technical and non-technical audiences, including senior leadership.
                                • -
                                -

                                -

                                Nice to Have

                                -
                                  -
                                • Experience in running A/B testing experiments in production. Experience with relational databases. Domain specific knowledge of marketing campaigns.
                                • -
                                • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred.
                                • -
                                • Publications in machine learning and artificial intelligence.
                                • -
                                • Passion for ethical AI and experience in algorithm transparency and interpretability.
                                • -
                                -

                                -

                                What’s in it for you?

                                -

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -
                                  -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                                • -
                                • Leaders who support your development through coaching and managing opportunities
                                • -
                                • Ability to make a difference and lasting impact.
                                • -
                                • Work in a dynamic, collaborative, progressive, and high-performing team.
                                • -
                                • A world-class training program in financial services
                                • -
                                • Flexible work/life balance options
                                • -
                                • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.
                                • -
                                • Access to a variety of job opportunities across business and geographies.
                                • -
                                -

                                -

                                #LI-Hybrid

                                -

                                #LI-Post

                                -

                                #LI-PK

                                -

                                -

                                -

                                Job Skills

                                Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

                                -

                                -

                                -

                                Additional Job Details

                                -

                                Address:

                                RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                City:

                                TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                PERSONAL & COMMERCIAL BANKING

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2024-10-09

                                Application Deadline:

                                2024-10-31

                                -

                                -

                                -

                                -

                                -
                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                -
                                -

                                -

                                -

                                -

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000102303/Senior-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-14T08:25:03.890Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/345757416-senior-data-scientist-at-rbc,,expired,2024-10-10T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, c1a02553-7386-4427-bc4e-58ee7d948ec8,343660738,BMO Financial Group,Senior Analyst,on_site,"Ontario, Canada",2024-09-26T08:18:03.464Z,"

                                Application Deadline:

                                10/11/2024

                                @@ -60692,79 +62479,44 @@ d94ba635-ecf2-4c75-8de2-ae8bc369f294,344787651,Roche,Data & Analytics Specialist

                                Roche is an Equal Opportunity Employer.

                                ",,https://careers.roche.com/global/en/job/202409-124583/Data-Analytics-Specialist,feed-importer@jobboard.io,,,,2024-10-10T09:03:05.776Z,False,0,7,29,https://talenthub.vectorinstitute.ai/jobs/344787651-data-analytics-specialist-at-roche,,expired,2024-10-03T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -d833bea6-036d-4915-ae7e-20dcc1409aba,342353631,Accenture,Data &AI Senior Manager,on_site,"Toronto, ON, Canada",2024-09-16T12:37:02.262Z,"
                                +273f654d-2049-4331-abe9-8e58c9aaba41,342711330,Accenture,Data Governance Specialist,on_site,"Toronto, ON, Canada",2024-09-19T12:37:02.103Z,"

                                Job Description

                                -

                                We Are:

                                -

                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us : Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

                                -

                                -

                                You Are:

                                -

                                A thought leader and an expert in the field of Data &Analytics, who can connect and advise senior clients leveraging your storytelling skills and strong data driven mindset. As a Data & AI leader, you will coach our up-and-coming leaders and help develop their careers, in addition to guiding our diverse multi-disciplinary workforces, on a day-to-day basis on solving our client’s data challenges.

                                -

                                As a Data &AI Senior Manager, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas through business insight to usher in data driven reinvention and make data governance a part of their organisation culture.  You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape, in keeping with client industry and global economic, technology and social trends.

                                -

                                -

                                What you’ll be doing:

                                -

                                -
                                • Oversee and mentor a team of data consultants, fostering a culture of innovation, collaboration, and continuous improvement while delivering high-quality data solutions.
                                -
                                • Design and implement robust, scalable, and secure data architectures on cloud platforms like AWS, Azure, or Google Cloud. Drive the adoption of best practices in data management, including ETL/ELT processes, data warehousing, and data modeling.
                                -
                                • Leading diverse delivery, teams working with clients on a day-to-day basis
                                -
                                • Collaborate with senior leadership and stakeholders to define and execute the client organisations’ data strategy, aligning data initiatives with overall business objectives.
                                -
                                • Lead the development of data products and solutions that provide actionable insights and drive business growth.
                                -
                                • Implement and enforce data governance frameworks, ensuring data accuracy, consistency and accessibility. Champion data quality initiatives and ensure compliance with relevant regulations and standards.
                                -
                                • Continuously evaluate and optimize the performance of data infrastructure, identifying opportunities for cost reduction, efficiency improvements, and innovation. Lead efforts to modernize legacy systems and integrate new technologies.
                                -
                                • Oversee the end-to-end delivery of complex and large data projects, from planning and resource allocation to execution and post-implementation support. Ensure projects are delivered on time, within budget, and meet Accenture’s highest quality standards.
                                -
                                • Keep abreast of the latest developments in data management, cloud computing, and big data technologies. Continuously explore and integrate cutting-edge tools and methodologies to maintain a competitive edge.
                                show more show less
                                +

                                We are:

                                +

                                The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                +

                                Stronger together!

                                +

                                The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                +

                                The value for our clients and our people

                                +

                                For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                +

                                For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                +


                                The Work:

                                +

                                +
                                  +
                                • Develop and implement data governance policies, standards, and procedures to ensure the quality, integrity, and security of data assets.
                                • +
                                • Collaborate with stakeholders to establish data governance frameworks and define data management strategies aligned with business goals and regulatory requirements.
                                • +
                                • Define data ownership, stewardship, and accountability roles within the organization.
                                • +
                                • Develop and maintain metadata management processes to catalog and document data assets, including data lineage, definitions, and usage. Conduct data quality assessments and root cause analyses to identify and address data issues.
                                • +
                                • Facilitate data governance forums and working groups to promote awareness, communication, and collaboration across departments.
                                • +
                                • Provide training and support to data stewards and data custodians on data governance principles, policies, and procedures.
                                • +
                                +

                                +

                                #LI-NA

                                show more show less

                                Qualifications

                                -

                                Here’s what you need:

                                -
                                • A bachelor’s degree in computer science, Information Systems, or a related field.
                                • A minimum of 8-10 years of experience in data solutions, with at least 3-5 years in a leadership or management role, a proven track record of architecting and implementing large-scale data solutions on cloud platforms like AWS, Azure, or Google Cloud.
                                • -
                                -
                                • Deep understanding of data architecture, ETL/ELT processes, data warehousing, and data modeling. Proficiency in programming languages such as Python, SQL, and Scala, as well as experience with big data technologies like Hadoop, Spark, and Kafka.
                                • -
                                -
                                • Hands-on experience with cloud-based data services and tools, including data lakes, data pipelines, and real-time data processing.
                                • -
                                -
                                • Strong leadership and team management abilities, with a demonstrated ability to inspire, mentor, and grow high-performing teams. Experience in managing cross-functional teams and coordinating with stakeholders at various levels of the organization.
                                • -
                                -
                                • Ability to translate business objectives into a clear data strategy. Experience in driving data initiatives that align with organizational goals and deliver measurable business value.
                                • -
                                -
                                • Understanding of data governance frameworks and best practices. Experience in implementing and enforcing data quality, security, and compliance standards across large datasets.
                                • -
                                -
                                • Excellent project and program delivery skills, with the ability to manage multiple complex projects simultaneously. Strong organizational, time management, and decision-making skills.
                                • -
                                -
                                • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. Experience in stakeholder management and in presenting to senior leadership.
                                • -
                                -
                                • A passion for staying up to date with the latest trends and advancements in data management, cloud computing, and big data technologies. Eagerness to continuously learn and adapt in a rapidly evolving field.
                                • -
                                -
                                • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                • -
                                -

                                -

                                Bonus points if:

                                -
                                • Previous experience within the consulting industry.
                                • -
                                -
                                • Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
                                • -
                                -
                                • Experience in Data Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS, Talend, etc.), Data Migration and Quality (using ETL e.g. Informatica IDMC/ IICS), MySQL/NoSQL, CQRS Event Sourcing
                                • -
                                -
                                • A master’s or Ph.D. in Data Science, Computer Science, or a related field, with a focus on big data or cloud computing.
                                • -
                                -
                                • Experience in sectors such as finance, healthcare, retail, or manufacturing, with an understanding of industry-specific data challenges and regulatory requirements.
                                • -
                                -
                                • Relevant certifications in solution architecture or data governance
                                • +

                                  Here’s what you need:

                                  +
                                    +
                                  • 3+ years’ experience with data quality tools and techniques, including data profiling, cleansing, and remediation. Analytical mindset with the ability to identify and solve complex data-related issues.
                                  • +
                                  • Relevant exposure to Cloud Platforms (AWS/Azure/GCP), Databricks and Snowflake
                                  • +
                                  • 3+ years’ experience working with relational databases like MySQL etc.
                                  • +
                                  • 2+ years exposure to Data Management Platforms such as IICS.
                                  • +
                                  • 2+ years’ experience Collaborating with cross-functional teams to understand business requirements and manage data Teams .
                                  • +
                                  • This role is based in our Local ATCs and will require on-site 2-3 days per week.
                                  • +
                                  • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                  -

                                  -

                                  -

                                  #LI-NA

                                  -

                                  -

                                  Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                  -

                                  Information on benefits is here.

                                  -

                                  Role Location Annual Salary Range

                                  -

                                  British Columbia $117,200 to $272,600

                                  -

                                  -
                                -

                                Locations

                                -
                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                +

                                @@ -60781,120 +62533,90 @@ d833bea6-036d-4915-ae7e-20dcc1409aba,342353631,Accenture,Data &AI Senior Manager

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                Apply Now
                                +
                                Apply Now
                                Register for Job Alerts
                                Share
                                Share
                                Job Link:
                                Copy
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236464_en&title=Data%20%26AI%20Senior%20Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-16T19:13:55.027Z,False,0,4,37,https://talenthub.vectorinstitute.ai/jobs/342353631-data-ai-senior-manager-at-accenture,,expired,2024-09-16T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -afd2d998-86e0-4672-8994-d76c25f49b26,342372270,DNAstack,Senior Engineering Manager,full,"Toronto, ON, Canada",2024-09-16T18:31:05.314Z,"

                                Mission

                                -

                                DNAstack's mission is to accelerate precision medicine and research by developing and providing innovative software solutions for genomics and multi-omics data. We aim to make complex biomedical data more accessible, interoperable, and actionable, thereby empowering researchers, clinicians, and institutions to derive meaningful insights and improve health outcomes. DNAstack is dedicated to advancing scientific discovery through collaboration, cutting-edge technology, and a commitment to privacy and data security.

                                -

                                As a Senior Engineering Manager, you will lead and mentor a talented team of engineers, driving innovation and excellence in our product development. This role offers a flexible hybrid work environment, allowing you to seamlessly balance remote work with essential in-office collaboration.

                                -

                                Where You’ll Work

                                -

                                This role offers the flexibility of a hybrid work environment, allowing for both remote and in-office work in Toronto to accommodate your needs and ensure a healthy work-life balance.

                                -

                                Responsibilities

                                - -

                                Outcomes

                                - -

                                Candidate Qualities/Competencies

                                - -

                                Ideal Experience

                                - -

                                ",,https://dnastack.applytojob.com/apply/90igLuNvpx/Senior-Engineering-Manager?source=careerspage,info@dnastack.com,https://www.dnastack.com/,,,2024-10-16T18:31:49.850Z,False,0,7,56,https://talenthub.vectorinstitute.ai/jobs/342372270-senior-engineering-manager-at-dnastack,,expired,2024-09-16T18:31:00.000Z,admin,Scaling (20-499),Application Click Through,"Health, Technology (Product Development)",Senior Level,Bachelors Degree,New Posting, -b37e996c-0c16-4507-b1bf-f3b4962e66fd,342371027,CentML,Senior Software Engineer - LLM Inference,hybrid,"Toronto, ON, Canada",2024-09-16T17:56:57.020Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                About the Position:
                                As a member of the LLM inference team, you will help build state-of-the-art software with the goal of enabling LLM inference to become more efficient, scalable, and accessible. Are you interested in architecting and implementing the best inference stacks in the LLM world? Work and collaborate with a diverse set of teams involving resource orchestration, distributed systems, inference engine optimization, and writing high-performance GPU kernels.
                                Come join our team and contribute towards democratizing Machine Learning for the world!

                                +
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228404_en&title=Data%20Governance%20Specialist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,7,52,https://talenthub.vectorinstitute.ai/jobs/342711330-data-governance-specialist-at-accenture,,expired,2024-09-19T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, +e2752404-7827-4af0-bd71-3840aaee58d4,345757416,RBC,Senior Data Scientist,on_site,"Toronto, ON, Canada",2024-10-10T08:20:02.570Z,"
                                +

                                Job Summary

                                +

                                + +

                                Job Description

                                +

                                What is the opportunity?

                                + +

                                The Personal Banking & Commercial Banking Data Strategy team is looking for a passionate and innovative Senior Data Scientist within our data asset team. As a Data Scientist you will train, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. You will collaborate with a highly talented team of data engineers, data scientists, data architects, and data analysts to deliver business value to the organization. You will develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.

                                -

                                Responsibilities:

                                - -

                                Who you are:

                                - -

                                Nice to haves:

                                - -

                                We strongly encourage you to include sample projects (e.g. Github) that demonstrate the qualifications above.
                                For recent graduates, you can optionally submit your unofficial transcripts.
                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/8da402e6-b563-41dc-939d-5753b7b809c9,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:57:04.635Z,False,0,8,43,https://talenthub.vectorinstitute.ai/jobs/342371027-senior-software-engineer-llm-inference-at-centml,,expired,2024-09-16T17:56:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Mid-Senior Level,Bachelors Degree,New Posting, -069251bb-4d5c-4f93-9629-f6ca1c34a307,342371012,CentML,Software Engineer - Platform,hybrid,"Toronto, ON, Canada",2024-09-16T17:55:28.538Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                Overview:
                                We are seeking highly motivated and skilled systems engineers to join our team to help in developing the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models. As a systems engineer, you will play a crucial role in building a unified solution that brings our innovative in-house technologies such as Hidet compiler, DeepView, and other ML optimizations into a single, cohesive platform. Your expertise will drive the scalability, performance, and reliability of the platform, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer.

                                +

                                What will you do?

                                +

                                -

                                Responsibilities:

                                - -

                                Qualifications:

                                - -

                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/44251491-b6d7-4bd1-aaf2-5fa29e378380,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:55:34.582Z,False,0,6,51,https://talenthub.vectorinstitute.ai/jobs/342371012-software-engineer-platform-at-centml,,expired,2024-09-16T17:55:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, -f494e535-b8b9-409c-a877-bdee0a016abf,344972397,KPMG,"Senior Manager/ Director, Microsoft Azure Data and AI Lead",on_site,"Toronto, Canada",2024-10-04T16:35:02.675Z,"Overview

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

                                Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

                                We are seeking a National Lead to spearhead our Azure Data & AI initiatives within our Microsoft – Enterprise Solutions practice. This role is pivotal in driving solution opportunity revenue and market share by capitalizing on Microsoft’s growing suite of Data & AI solutions to address our customers’ needs in data modernization, analytics, and AI solutions. As the national lead, you will play a crucial role in the adoption and growth of Microsoft’s Data & AI solutions, working closely with customers, partners, and internal teams to deliver cutting-edge data and AI solutions.


                                What you will do


                                What you bring to the role

                                Providing you with the support you need to be at your best

                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                Our Values, The KPMG Way

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                Adjustments and accommodations throughout the recruitment process

                                At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                For information about accessible employment at KPMG, please visit our accessibility page.

                                ",,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-10-14T16:40:03.367Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/344972397-senior-manager-director-microsoft-azure-data-and-ai-lead-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,expired,2024-10-04T16:35:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +

                                What do you need to succeed?

                                +

                                Must Have

                                + +

                                +

                                Nice to Have

                                + +

                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                + +

                                +

                                #LI-Hybrid

                                +

                                #LI-Post

                                +

                                #LI-PK

                                +

                                +

                                +

                                Job Skills

                                Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

                                +

                                +

                                +

                                Additional Job Details

                                +

                                Address:

                                RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                City:

                                TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                PERSONAL & COMMERCIAL BANKING

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2024-10-09

                                Application Deadline:

                                2024-10-31

                                +

                                +

                                +

                                +

                                +
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                +

                                +

                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000102303/Senior-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-14T08:25:03.890Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/345757416-senior-data-scientist-at-rbc,,expired,2024-10-10T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, 9ba6966d-b7d2-42fb-865a-08bca479e9fb,335709244,Cohere AI,"Member of Technical Staff, Model Efficiency",on_site,"Toronto, ON, Canada",2024-07-28T16:41:04.864Z,"
                                Who are we?
                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                @@ -61699,309 +63421,6 @@ f31cbcd5-8262-4a17-a551-40a0c8b428b9,340771269,Thales,Business Intelligence Repo

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Campaign-Data-Analyst_R240022338?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-19T12:11:02.276Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/339835029-senior-campaign-data-analyst-at-bmo-financial-group,,expired,2024-08-29T17:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -38238209-c2cd-4190-a720-95c66a58301d,342351744,BMO Financial Group,Lead Analyst - Data & Analytics,on_site,"Ontario, Canada",2024-09-16T12:06:02.310Z,"
                                -

                                Application Deadline:

                                09/17/2024

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -
                                Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.
                                -
                                -
                                  -
                                • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques.
                                • -
                                • Provides value through insights, reporting and data visualization techniques. Selects, configures, and implements analytics solutions for consistency and repeatability.
                                • -
                                • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                • -
                                • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                • -
                                • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                • -
                                • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                • -
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • -
                                • Works independently on a range of complex tasks, which may include unique situations.
                                • -
                                • Broader work or accountabilities may be assigned as needed.
                                • -
                                -

                                -

                                Qualifications:

                                -

                                -

                                Intermediate level of proficiency:

                                -
                                  -
                                • You have strong Excel and PowerPoint skills but prefer to use SQL, Python, Tableau and Power BI for data manipulation, analysis, reporting and Dashboard.
                                • -
                                • Excellent planning and organization skills, and a willingness to manage constantly changing priorities.
                                • -
                                • Insights design.
                                • -
                                • Insights development and reporting.
                                • -
                                • Verbal & written communication skills.
                                • -
                                • Collaboration & team skills.
                                • -
                                • Analytical and problem-solving skills.
                                • -
                                • Data driven decision making.
                                • -
                                • Typically, between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • Technical proficiency gained through education and/or business experience.
                                • -
                                -

                                -

                                Foundational level of proficiency:

                                -
                                  -
                                • Technical design optimization.
                                • -
                                • Decision Making.
                                • -
                                • Systems Thinking.
                                • -
                                • Data visualization.
                                • -
                                • Data storytelling.
                                • -
                                • Data mining.
                                • -
                                • Illustration.
                                • -
                                • Creative thinking.
                                • -
                                • Problem Solving.
                                • -
                                -
                                -

                                -
                                -

                                -

                                Salary:

                                -
                                $68,000.00 - $126,000.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst---Data---Analytics_R240024290?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-19T12:11:02.276Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/342351744-lead-analyst-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -7c36069a-0794-4a6c-992a-ef3eeebcc093,338630219,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Ontario, Canada",2024-08-18T16:35:02.810Z,"

                                -

                                Job Type: Permanent
                                Work Model:
                                Hybrid
                                Reference code:
                                126337
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON; Calgary, AB; Montreal, QC; Vancouver, BC

                                -
                                -

                                -

                                Our Purpose

                                -

                                -

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                -

                                By living our Purpose, we will make an impact that matters.

                                - -
                                -
                                -
                                -

                                -
                                -
                                -
                                -

                                What will your typical day look like?

                                -
                                -

                                Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

                                -

                                -

                                As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

                                -

                                -

                                We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
                                • Risk Data Strategy & Architecture
                                • Risk Data Modelling & Engineering
                                • Risk Data Analytics, Reporting & Insights
                                • Risk Data Governance & Management

                                -

                                -

                                The successful candidate will have responsibility to:
                                • Support our clients to grow responsibly through the use of applied data and analytics.
                                • Support the industry leadership in growing our risk analytics business.
                                • Support the establishment of a repeatable analytical models and approaches for clients.
                                • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
                                • Manage and support team members in the delivery of work
                                • Build strong relationships with key Deloitte team members and clients.
                                • Enhance the value of our deliverables and the insights provided by our work.
                                • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
                                • Work with existing clients to design and develop programs for data and analytics.
                                • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
                                • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

                                -
                                -
                                -
                                -

                                About the team

                                -

                                We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -

                                In this role, the expected qualifications are:

                                • Exceptional planning, organization, project and people management skills.
                                • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
                                • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
                                • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
                                • Experience in Financial Services Industry in a consulting or industry capacity
                                • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
                                • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
                                • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
                                • Experience in working with analytical, visualization and data engineering capabilities
                                • Experience in working with cloud capabilities is an asset
                                • Ability to own and drive initiatives in many different and challenging environments.
                                • Ability to understand client needs and deliver value through proven and innovative approaches.
                                • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
                                • Ability to work in a fast paced and demanding environment, both independently and in a team setting
                                • Ability to establish priorities and meet challenging deadlines
                                • Curiosity and comfortability with ambiguity
                                • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
                                • Willingness/flexibility of traveling to client locations, as required

                                -
                                -
                                -

                                Total Rewards

                                -


                                The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                -
                                -
                                -

                                -

                                Our promise to our people: Deloitte is where potential comes to life.

                                -

                                -

                                Be yourself, and more.

                                -

                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                -

                                You shape how we make impact.

                                -

                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                -

                                Be the leader you want to be

                                -

                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                -

                                Have as many careers as you want.

                                -

                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                The next step is yours

                                -

                                -

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                -

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                -

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-09-19T19:32:04.033Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/338630219-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,expired,2024-08-18T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -67d64dc8-9c55-4e60-a134-d803a5e3ddaa,338769495,Deloitte,"Consultant, Risk Data, Analytics and Technology, Risk Advisory - New Grad Fall 2025 - Toronto",on_site,"Ontario, Canada",2024-08-19T16:35:02.370Z,"

                                -

                                Job Type: New Graduate
                                Work Model:
                                Hybrid
                                Reference code: 127014
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON

                                -

                                -

                                Our Purpose

                                -

                                -

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                -

                                By living our Purpose, we will make an impact that matters.

                                -
                                -
                                -

                                --

                                -
                                -

                                Join a team that prides itself on commitment to data, analytics and technology innovation, critical and fresh thinking, creative solution solving, and the privilege of serving leading Canadian and Global organizations.

                                -

                                Are you ready for revolutionary data and technology challenges in the ever-evolving risk consulting area? Do you want to experience a high-impact, high-profile, highly rewarding environment working for pre-eminent Canadian and Global organizations? Do you want to solve emerging risks and develop strategies and insights to aid institutions in innovating and transforming their risk operations by leveraging cutting-edge technologies and applying advanced data analytics? Are you ready to be empowered to lead and make impacts with clients, our communities and within Deloitte?

                                -

                                If yes, we would love to have you join our team! Work with data and technology leaders in the field of risk consulting globally to combine innovative thinking with program and technological execution. Work for a world-class organization that provides an exceptional career experience with an inclusive and collaborative team.

                                -
                                -
                                -
                                -

                                What will your typical day look like?

                                -
                                -

                                There are no typical days! Working in Data, Analytics and Technology team in Risk Consulting offers a dynamic, fast-paced environment, which presents you with the opportunity to continually grow and learn from people with different backgrounds and working styles. Your days will be filled with impact – professionally, socially, and personally. Professionally, you will synthesize and communicate complex analyses to senior executives for them to take effective action at their global organizations. Socially, you will work through exciting challenges with peers and colleagues, solving complicated and substantial problems. Personally, you will share your successes and learnings with colleagues that will expand your network and become connections for life. In the post-pandemic world, Deloitte also introduced a hybrid workplace model to all practitioners to offer flexibility of working remotely or in office.

                                -

                                You will focus on delivering the following types of risk consulting solutions to Global and Canada’s distinguished organizations across the end-to-end Risk Spectrum.

                                -
                                • Technology Strategy & Architecture
                                • Technology Implementation
                                • Risk Data Strategy & Architecture
                                • Risk Data Modelling & Engineering
                                • Risk Data Analytics, Reporting & Dashboarding
                                • Risk Data Governance & Management
                                • -
                                -

                                -

                                Our Risk Spectrum covers, but not limited to, risk areas such as Regulatory Compliance, Financial Risk (Credit, Market, Liquidity) Management, Enterprise, Financial, Technology and Operational Risk Management and Financial Crime.

                                -

                                You will develop specialized skills and extensive experience to help clients effectively and proactively manage their risks across these risk areas. You will collaborate with multi-service teams to help our clients envision new ways to address and automate risk operations within their organization. You will challenge yourself to learn and implement new and emerging technologies to solve our clients’ most complex challenges. You will apply advanced analytics methodologies and data management techniques to make impacts and add value to our client’s business.

                                -
                                -
                                -
                                -

                                About the team

                                -

                                We are the largest Risk Consulting practice in Canada. Our Data and Technology Team is a key capability within Risk Consulting function to provide end-to-end services related to Data and Technology to executives and boards. We support organizations across the full Data and Technology lifecycle of risk management, from data and technology strategy development to reporting, analytics and technology implementation, and our services can enhance their operational efficiency, effectiveness, transparency, compliance, and integrity. We also are continually supporting clients optimize their risk management capabilities through innovative data & technology solutions and new operating models.

                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -
                                -

                                In this role, the expected qualifications are:

                                -

                                -
                                • Working towards completing a post-secondary degree or diploma between September 2024 – September 2025
                                • Interested in risk management across our risk spectrum
                                • Interested in consulting professional services or a client-based environment, functional experience in risk management
                                • Interested in business, risk, and technology transformation initiatives, and/or leading and driving changes
                                • Interested in risk data analytics and visualizations, and/or emerging tools and technologies is an asset
                                • Having some experience / familiarity with the data modelling and data visualization tools is a bonus, such as Tableau, Power BI, Cognos, SQL, Python, R, Excel VBA
                                • Demonstrated ability to build and maintain trustworthy and durable relationships with clients and colleagues
                                • Demonstrated ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
                                • Demonstrated ability to work in a fast paced and demanding environment, both independently and in a team setting
                                • Demonstrated ability to establish priorities and meet challenging deadlines
                                • Superior verbal, written and interpersonal communication skills
                                • A self-starter who is able to conceptualize creative approaches and complex solutions
                                • An inclusive team player who is passionate and motivated
                                • Curiosity and comfortability with ambiguity
                                • Dedicated to providing meaningful service to our clients
                                • Willingness to travel to client locations, as required
                                • Familiarity, interest or experience with Risk, Regulatory Compliance, Financial Crime (e.g. Fraud, AML), business and technology process improvement and internal controls is an asset
                                • -
                                -
                                -
                                -
                                -

                                Total Rewards

                                -


                                The salary range for this position is $46,500.00 - $70,000.00, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 35+ days off (including 6 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                -
                                -
                                -

                                -

                                Our promise to our people: Deloitte is where potential comes to life

                                -

                                -

                                Be yourself, and more.

                                -

                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                -

                                You shape how we make impact.

                                -

                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                                -

                                Be the leader you want to be.

                                -

                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                -

                                Have as many careers as you want.

                                -

                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                                -


                                The next step is yours

                                -

                                -

                                Apply by September 13, 2024 at 11:59 PM ET.

                                -


                                To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document

                                -

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                -

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                -

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Consultant%2C-Risk-Data%2C-Analytics-and-Technology%2C-Risk-Advisory-New-Grad-Fall-2025-Toronto-ON/1202860500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-09-19T20:36:00.000Z,False,0,12,77,https://talenthub.vectorinstitute.ai/jobs/338769495-consultant-risk-data-analytics-and-technology-risk-advisory-new-grad-fall-2025-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Consultant%2C-Risk-Data%2C-Analytics-and-Technology%2C-Risk-Advisory-New-Grad-Fall-2025-Toronto-ON/1202860500/,expired,2024-08-19T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -833b3db3-a4bd-4295-aecf-a5a94b89c57a,342738231,TD Bank Group,"Vice President, Artificial Intelligence and Machine Learning Practice Owner and COE",hybrid,"Toronto, ON, Canada",2024-09-19T18:19:54.815Z,"

                                Work Location:

                                -

                                Canada

                                -

                                -

                                Hours:

                                -

                                37.5

                                -

                                -

                                Line of Business:

                                -

                                Data & Analytics

                                -

                                -

                                Pay Details:

                                -

                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                -


                                -

                                Job Description:

                                -

                                Department Overview
                                Welcome to the cutting-edge world of AI and Machine Learning at TD Bank! Our team is at the forefront of driving innovation and leveraging advanced technologies to transform the way we operate and serve our customers.

                                -

                                -

                                As part of our team, you will be immersed in a dynamic environment where creativity and technical expertise converge. We are responsible for spearheading AI and ML projects that push the boundaries of what's possible, enabling us to make data-driven decisions and deliver exceptional value to our customers.

                                -

                                Join us on this exciting journey as we unlock the potential of AI and Machine Learning. Together, we will shape the future of TD Bank and drive exceptional outcomes for our customers.

                                -

                                -

                                Job Requirements

                                - -

                                Qualification

                                -

                                The ideal candidate should have over 10+ years of experience in advanced analytics and significant experience in AIML development and deployment, preferably within the context of global bank products and/or consulting services.

                                -


                                Educational Requirements/Accreditations:

                                - -

                                Strategic Thinking

                                - -

                                People Leadership and Influence

                                - -

                                Business Acumen

                                - -

                                Relationship Building and Communications

                                - -

                                Technical Competencies

                                - -

                                Other Qualifications/Skills/Experience:

                                - -

                                -

                                * The workplace model for this role is hybrid.

                                -

                                -

                                Who We Are:

                                -

                                TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                -

                                -

                                TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                -

                                -

                                Our Total Rewards Package
                                Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                -

                                -

                                Additional Information:
                                We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                Colleague Development
                                If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                -

                                Training & Onboarding
                                We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                -

                                -

                                Interview Process
                                We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                -


                                Accommodation
                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                We look forward to hearing from you!

                                -

                                -

                                Language Requirement:

                                -

                                N/A.

                                ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Vice-President--Artificial-Intelligence-and-Machine-Learning-Practice-Owner-and-COE_R_1362276-1?q=Ontario&jobFamilyGroup=de76965296350195765906b50704e3ab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-24T00:00:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/342738231-vice-president-artificial-intelligence-and-machine-learning-practice-owner-and-coe-at-td-bank-group,,expired,2024-09-19T18:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, 4bbc42f2-ea77-428e-8e68-77743fdf3b07,341819625,BMO Financial Group,Senior Analyst,on_site,"Ontario, Canada",2024-09-12T15:59:02.652Z,"

                                Application Deadline:

                                10/11/2024

                                @@ -62627,6 +64046,73 @@ c1537824-31de-4d02-92b1-210acd489cc1,345423457,Scotiabank,"Manager, Business Int


                                • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence%2C-Canadian-Commercial-Banking-ON-M5H-3Y2/585254017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/345423457-manager-business-intelligence-canadian-commercial-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence%2C-Canadian-Commercial-Banking-ON-M5H-3Y2/585254017/,expired,2024-10-07T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +20a29b6b-7be0-42e2-a1b3-99892647a216,343307750,Deloitte,"Manager/Senior Manager, AML Analytics - Financial Engineering & Modeling",on_site,"Ontario, Canada",2024-09-23T16:35:03.828Z,"

                                +

                                Job Type: Permanent
                                Work Model:
                                Hybrid
                                Reference code:
                                127160
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON

                                +
                                +

                                +

                                Our Purpose

                                +

                                +

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                +

                                +

                                By living our Purpose, we will make an impact that matters.

                                + +
                                +
                                +
                                +

                                --

                                +

                                Would you like to further develop your career with our exponentially expanding Financial Engineering and Modelling group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

                                +
                                +
                                +

                                What will your typical day look like?

                                +
                                +

                                +

                                In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

                                You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

                                +
                                +
                                +
                                +

                                About the team

                                +
                                +

                                +

                                Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                +

                                +

                                Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

                                +
                                +
                                +
                                +

                                Enough about us, let’s talk about you

                                +
                                +

                                +

                                Ideally, you are someone with:

                                +

                                +
                                • Minimum 5+ years of relevant experience in AML/ATF domain.
                                • Hands-on experience in utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
                                • Hands-on experience in developing and maintaining AML models to identify unusual patterns or trends in transaction data.
                                • Hands-on experience in validating AML models following industry best practice and regulatory guidelines.
                                • Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
                                • Experience in transaction monitoring, screening tools (e.g. Lexis Nexis, World-check), or AML investigation is an asset.
                                • Experience in control testing, risk assessment, coverage assessment is preferred.
                                • Strong understanding of AML/ATF/Sanctions/ABAC/KYC processes and practices is beneficial.
                                • Strong programming skills in Python, SAS, SQL, R, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
                                • Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is an asset.
                                • Experience in writing policies and procedures is an asset.
                                • Exceptional verbal and written communication skills.
                                • Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines.
                                • Post-graduate degree in Finance, Economics, Statistics, Computer Science, or related field. Financial crime related certifications (e.g. CAMS, CFCS, CFE, etc.) are a plus.
                                • +
                                +
                                +
                                +
                                +

                                Total Rewards

                                +
                                +

                                +

                                The salary range for the Manager position is $95,000 - $159,000 and $123,000 - $228,000 for the Senior Manager position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                +
                                +
                                +
                                +

                                +

                                Our promise to our people: Deloitte is where potential comes to life.

                                +

                                +

                                Be yourself, and more.

                                +

                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                +

                                You shape how we make impact.

                                +

                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                                +

                                Be the leader you want to be

                                +

                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                +

                                Have as many careers as you want.

                                +

                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                                The next step is yours

                                +

                                +

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                +

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                +

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                +

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213379800/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:48:14.561Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/343307750-manager-senior-manager-aml-analytics-financial-engineering-modeling-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AML-Analytics-Financial-Engineering-&-Modeling-ON/1213379800/,expired,2024-09-23T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, 128b17fc-8027-4729-a587-aa99e2811c75,100401736,CIBC,"Analytics Specialist, Fraud Analytics",on_site,"Ontario, Canada",2021-12-23T10:03:03.095Z,"
                                @@ -117677,6 +119163,804 @@ c14d9439-f697-4000-a948-bdc9e1f97dfb,198033202,BMO Financial Group,"Analyst, Cus
                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                ",,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/206569085-sr-machine-learning-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +4813bbb2-d28b-4a83-9166-ac7edfa3921e,205317469,Loblaw Companies Ltd,"Data Analyst, Payment Decision Support",on_site,"Ontario, Canada",2023-03-16T17:14:04.397Z,"
                                +

                                Referred applicants should not apply directly to this role.

                                +

                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                +

                                +

                                +

                                Location:

                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                +

                                When you hire great people, great things can happen.

                                +

                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                +

                                +

                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                +

                                +
                                +

                                The objective of our Payment Decision Support – Data Operations team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

                                +

                                +

                                What You\'ll Do

                                +
                                  +
                                • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
                                • +
                                • Build and productionize business critical data processes
                                • +
                                • Optimize and automate data solutions
                                • +
                                • Build data marts and Tableau/Excel reports
                                • +
                                • Follow and implement data standards, guidelines on data ownership, coding structures
                                • +
                                • Monitor data quality and identify, investigate, and resolve data discrepancies
                                • +
                                • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
                                • +
                                • Closely adhere to legal guidelines regarding working with critical and confidential information
                                • +
                                +

                                +

                                What You\'ll Need

                                +
                                  +
                                • 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
                                • +
                                • University degree in Business/Commerce, Computer Science/Engineering/Analytics +
                                • +
                                • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
                                • +
                                • Understanding of data warehouse and data mart concepts
                                • +
                                • Working knowledge of relational databases and SQL data extraction and manipulation tools
                                • +
                                • Experience in SAS and BI tools.
                                • +
                                • Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
                                • +
                                • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
                                • +
                                • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
                                • +
                                • Ability to prioritize between challenging tasks/requirements in a fast-paced environment
                                • +
                                +

                                +
                                +

                                +

                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                +

                                +

                                +

                                Number of Openings:

                                1

                                +

                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                +

                                +

                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                +

                                +

                                +

                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                +
                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--Payment-Decision-Support_R2000312072?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-03-23T17:19:04.205Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/205317469-data-analyst-payment-decision-support-at-loblaw-companies-ltd,,expired,2023-03-16T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +fa382db4-2508-4a36-a4ba-6a8e8244fd34,204323990,Clearpath,"Manager, Development Operations (DevOps)",on_site,"Ontario, Canada",2023-03-13T17:42:01.885Z,"

                                Description

                                +

                                Position: Manager, Development Operations
                                Location: Kitchener, Ontario
                                Job Type: Full-Time Permanent

                                Experience: 8 to 12 years
                                Education: Bachelor’s degree in Computer Science, Engineering or relevant work experience
                                Division: OTTO Motors

                                +

                                About OTTO™ Motors (Division of Clearpath Robotics)

                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                +

                                About the Job

                                +

                                The DevOps Team is in need of an experienced manager to help drive and maintain the continuous integration experience. The team is tasked with ensuring that the full lifecycle of development from source submission to release is fully automated. The team handles all aspects of the development environment and workflow; build, automated testing platforms, deployment and a full simulation stack. We develop testing platforms so that other teams can be empowered to write automated tests. Your day will be split between managerial and supporting development tasks.

                                +

                                Primary responsibilities include:

                                +
                                  +
                                • Identify areas of improvement within the CI processes.
                                • +
                                • Delegate, schedule and manage tasks within the DevOps Domain (Sprint and Long-term).
                                • +
                                • Lead and grow a team of highly skilled developers.
                                • +
                                • Collaborate with other teams to determine needs and gaps.
                                • +
                                • Be an ambassador for quality initiatives to ensure that all teams are producing a high-quality product.
                                • +
                                • Maintain and develop DevOps toolchains and automated processes.
                                • +
                                +

                                About You

                                +

                                You want to work for a fast-moving company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

                                +

                                Required skills and experience:

                                +
                                  +
                                • Minimum 3 Years of experience managing a technical team.
                                • +
                                • Minimum 5 Years experience with DevOps/Continuous Integration processes.
                                • +
                                • Excellent verbal and written communication skills.
                                • +
                                • Experience working with Linux/Ubuntu based environments.
                                • +
                                • Working in a collaborative virtual environment, interfacing with other team members regularly, sharing knowledge via diagram, discussion, and example.
                                • +
                                • Python Programming or other relevant scripting language.
                                • +
                                • Docker, Kubernetes, VMware or other container or virtualization products
                                • +
                                • Maintaining and developing a job management system (Jenkins, groovy).
                                • +
                                • Source Control software (Git) and knowledge of best practices
                                • +
                                • Experience automating workflows or providing devOps toolchains.
                                • +
                                • Experience developing and administering solutions with AWS tools/technologies
                                • +
                                +

                                Bonus skills:

                                +
                                  +
                                • Experience with test infrastructure or automated test frameworks.
                                • +
                                • Experience working in the robotics industry or knowledge of ROS.
                                • +
                                • Experience working with simulation tool chains (Gazebo)
                                • +
                                • Experience with cloud providers beyond AWS
                                • +
                                • Experience with python and debian packaging
                                • +
                                +

                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/o9kFlfwd,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/204323990-manager-development-operations-devops-at-clearpath,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, +3898433d-85b6-4efb-9ae2-81225aea90c3,206569078,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-03-20T17:24:05.618Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
                                +

                                +

                                Job Description

                                +
                                +

                                About this Role

                                +

                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                +

                                As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

                                +
                                  +
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                • +
                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                • +
                                • Design and deliver enterprise analytic solutions for customers
                                • +
                                • Develop powerful business insights from segmentation, risk, and performance data
                                • +
                                • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                                • +
                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                • +
                                • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
                                • +
                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • +
                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                • +
                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                +What can you bring to TD?

                                +

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +
                                  +
                                • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                • +
                                • Up to 7 years’ experience of working in analytical environments
                                • +
                                • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                                • +
                                • Expertise in analytical tools such as SAS
                                • +
                                • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                • +
                                • Experience with Git
                                • +
                                • Experience with relational databases and usage of SQL
                                • +
                                • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                • +
                                • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                • +
                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                • +
                                • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                +#LI-Hybrid #datascientist
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-27T17:29:04.172Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/206569078-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +ff686d92-d829-43ad-99cc-32b38c528e85,206569072,TD Bank Group,Intern / Co-Op III,on_site,"Toronto, ON",2023-03-20T17:24:04.833Z,"
                                +

                                Company Overview

                                +
                                +

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                +

                                Why TD?

                                +

                                TD’s Colleague Promise: A better you. A better us.

                                +

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                +

                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                +
                                  +
                                • Leadership talks with key Leaders from across the organization
                                • +
                                • Lunch and Learns on topics such as Innovation
                                • +
                                • Diversity and Inclusion and Personal Branding and so much more
                                • +
                                +
                                +

                                +

                                Job Description

                                +
                                +

                                We are hiring for the position of Intern / Co-Op III to provide a range of operational and analytical support and perform transactions and other processing activities. This role will not only provide you introductory experience in a professional setting, you will also be equipped with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline. In this role, you will:

                                +
                                  +
                                • Support successful execution of relevant reporting, operational requests, and transactional requests for the business unit and/or client
                                • +
                                • Conduct less complex analytics and research, and obtain/share internal and external relevant business/market data
                                • +
                                • Assist with building and reviewing internal models, tools, processes, policies, presentations, and other related materials; challenge team and improve the underlying processes of functional area
                                • +
                                • Prioritize and manage own workload to meet service level agreement requirements for service and productivity
                                • +
                                • Consistently exercise discretion in managing information and all matters of confidentiality; raise issues where appropriate
                                • +
                                • Access systems, understand and apply system capabilities, ensure information is completed timely and accurately
                                • +
                                • Work autonomously and perform multiple and/or diverse tasks that are complex, involving multiple steps, systems, and jurisdictions
                                • +
                                • Apply expert knowledge across a broad range or variety of products, processes or systems within own area of specialty to process transactions and activities that could be characterized by moderate to high risk
                                • +
                                • Gather and analyze data to identify and solve complex problems, raise as required
                                • +
                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                • +
                                • Support the team by continuously improving knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
                                • +
                                • Participate in personal performance management and development activities, including cross training within own team
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                +
                                  +
                                • Current enrollment in a relevant post-secondary program
                                • +
                                • Over 1 year of related experience
                                • +
                                • Proficient with MS Office Suite and internet applications
                                • +
                                • Strong communications skills with positive personality and willingness to accept challenges
                                • +
                                • A strong analytical mind with attention to detail and desire to learn and grow
                                • +
                                +

                                Assigned Line of Business Requirements

                                +

                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                +
                                +

                                +

                                Additional Information

                                +
                                +

                                Early Talent Requirements

                                +

                                +
                                  +
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • +
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                • +
                                +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17990403/intern-co-op-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-27T17:29:04.172Z,False,0,12,62,https://talenthub.vectorinstitute.ai/jobs/206569072-intern-co-op-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17990403/intern-co-op-iii-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +94287700-566c-4853-b77f-8175490a0843,200118226,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-02-27T17:41:07.499Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                Leveraging DE principles and values, the Finance Accelerator’s purpose is to modernize Finance through process redesign and automation, establishing best practices, developing common tool platforms on an enterprise scale, and applying data and analytics to inform, influence and tackle business problems.

                                +

                                +

                                As a Senior Data Engineer, you will be responsible to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of product owners, delivery teams and business partners professionals, the Senior Data Engineer will lead the entire lifecycle of data – from ETL to mining insights from the data, to making data accessible to build analytics services and self-service solutions to our stakeholders

                                +

                                +

                                Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have experience in:

                                +

                                +

                                Data Management – Design, development, integration

                                +

                                Data Discovery – scoping new data sources, understanding and leveraging data sources

                                +

                                Data Governance – Manage data catalogue, interpret metadata

                                +

                                Communication and liaison between business, data analysts and IT

                                +

                                +

                                This role will report to the Director, Data Analytics & Insights

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Design, development and implementation of end-to-end complex ETL solutions from data modelling phase to automated workflows system using Informatica Powercenter

                                • +
                                • Convert complex business and technical rules into logic for data flows that are implemented in ETL processes

                                • +
                                • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing alignment of source data platform.

                                • +
                                • Implement and maintain clear data governance, data structures, naming conventions and other guiding principles to increase consistency in data across Business Groups

                                • +
                                • Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.

                                • +
                                • Implement technical solutions that are scalable, aligned with the enterprise architecture and can adapt to changes in business

                                • +
                                • Develop and manage effective working relationships with other departments, groups or personnel with whom work must be coordinated.

                                • +
                                +

                                +

                                What do you need to succeed?

                                +
                                  +
                                • 5+ Years of hands-on experience in ETL using tools such as Informatica PowerCenter, and Power Designer for Data modelling

                                • +
                                • Minimum of 1 year of experience with Data visualization tool, developing and designing dashboards, preferably Tableau

                                • +
                                • 4+ years experience or deep knowledge of SQL Server that includes a thorough understanding of SQL internals, system tables, stored procedures, functions, triggers, and SQL tuning

                                • +
                                • BSc/M.S. in a statistical, mathematical, or technical field (ie Engineering, computer science) or equivalent experience

                                • +
                                • Proven ability to lead and drive projects and assignments to completion

                                • +
                                • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

                                • +
                                • Ability to work in a global multi-site environment and working in a matrix environment, onshore/offshore IT mode

                                • +
                                • Strong communication skills and attention to detail and accuracy

                                • +
                                +

                                +

                                Unique Requirements

                                +
                                  +
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                • +
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                • +
                                +

                                +

                                What will be nice to have?

                                +
                                  +
                                • Experience with production implementation change management processes

                                • +
                                • Experience with project management and software development life cycle/SDLC; Agile and Lean

                                • +
                                • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting

                                • +
                                • Experience/Knowledge in Service Request tool such JIRA & Service Now

                                • +
                                +

                                +

                                What\'s In It For You?

                                +
                                  +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • 20 days vacation per year and an innovative sabbatical program

                                • +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                                • +
                                • A friendly, collaborative and inclusive culture

                                • +
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • +
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • +
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                26/03/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00076767?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-27T17:46:03.281Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/200118226-senior-data-engineer-at-sun-life-financial,,expired,2023-02-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +3b7b3e96-383c-4fb8-860a-0067e42d25a6,202115593,OMERS,"Director, Data Integration & Performance Platform",on_site,"Ontario, Canada",2023-03-06T17:42:08.449Z,"
                                +

                                +

                                +

                                Vision and Core Values

                                +

                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                +

                                +

                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                +
                                  +
                                • Investing to earn outstanding returns with due regard for risk

                                • +
                                • Partnering with like-minded investment managers

                                • +
                                • Providing high quality service to our members and employers

                                • +
                                • Delivering value for money

                                • +
                                • Building a culture of excellence and pride in OMERS

                                • +
                                +

                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                +

                                +

                                Value Proposition

                                +

                                This is an opportunity to join a forward-looking leadership team to help design and lead a digital transformation that will enable OMERS Capital Markets, Total Portfolio Management, and Corporate Finance functions to deliver on our pension promise. Our team is at the early stages of defining a strategic roadmap, and the selected leader will be a key member of the team that will work with our internal partners to understand their needs and deliver outcomes, with excellence. This role joins a team on a journey, with significant future potential in a global, sophisticated, and complex enterprise.

                                +

                                +

                                Scope of Position

                                +

                                Reporting to the VP, Finance Platform, Capital Markets, the Director, Data Integration & Performance Platform leads a team of business system analysts and technical analysts that support and deliver change to data management and performance measurement products, as well as our investment data warehouse, and provide data integration services across mission critical investment systems supporting OMERS Capital Markets. As the lead product manager for this scope of services, the incumbent will be responsible for understanding and delivering against department objectives, and the needs of our internal partners.

                                +

                                +

                                This incumbent will drive strategic initiatives that will enhance the capital markets data & analytics capabilities at OMERS, and will be required to have a deep understanding of modern trends in data management, architecture, cloud infrastructure, and utilities, through continuous learning and industry engagement.

                                +

                                +

                                Responsibilities

                                +
                                  +
                                • Lead the execution of transformation initiatives to modernize OMERS’ data management and performance measurement capabilities for Finance in support of Capital Markets.

                                • +
                                • Develop product strategies and roadmaps.

                                • +
                                • Manage the end-to-end delivery of changes to the investment data warehouse and performance applications.

                                • +
                                • Ensure the timely and accurate delivery of investment data, P&L and performance to internal partners. Includes assisting in the root cause analysis and resolution of data quality issues by tracing data lineage and analyzing technical processes.

                                • +
                                • Engage partners to identify and prioritize new features through pro-active engagement and maintenance of the product backlog.

                                • +
                                • Lead two layered teams, comprising of analysts to senior managers, with vision, clarity, and technical expertise, providing relevant coaching for professional development.

                                • +
                                • Partner with Capital Markets Finance and Data & Technology experts to deliver data integration and reporting solutions, including integrations between order and execution management, accounting, data warehouse, and performance systems.

                                • +
                                • Facilitate vendor governance processes to influence the product roadmap and escalate service issues.

                                • +
                                • Develop and institute solution design principles that are forward-thinking and optimize for efficacy, sustainability, and time to market.

                                • +
                                • Use metrics and feedback to improve organizational processes, implement best practices, and enhance performance, creating a culture of excellence and continuous improvement.

                                • +
                                • Mature change delivery processes and drive a transformation to Agile and DevOps.

                                • +
                                • Track and report on product roadmaps, completed work, capacity, backlog, KPIs, etc.

                                • +
                                • Document and maintain key processes and controls, for training, continuity, and audit purposes.

                                • +
                                • Develop relationships among partners by supporting a culture of transparency, collaboration, and service excellence.

                                • +
                                • Influence and represent the broader team’s leadership, to accomplish collective wins.

                                • +
                                +

                                +

                                Qualifications

                                +
                                  +
                                • Minimum 9 years experience in data management and analytics roles managing data warehouse platforms, including production support, change initiatives and/or large transformation programs in the Financial Services industry

                                • +
                                • Minimum of 5 years experience leading, managing and coaching a team with diverse skills and backgrounds, with a demonstrated history of contributing to their development and success

                                • +
                                • Expert knowledge of SQL and cloud enabled data management solutions

                                • +
                                • Expert knowledge of ETL/ELT tools and design patterns

                                • +
                                • Bachelor’s or Master’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, or Finance

                                • +
                                • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments

                                • +
                                • Hands-on experience with delivering complex data assets and a proven ability to manage multiple projects

                                • +
                                • Experience implementing and delivering change to leading investment applications, including but not limited to Eagle, Calypso, and Charles River

                                • +
                                • Experience with the Azure cloud platform and/or Snowflake are nice to have

                                • +
                                • Excellence in all types of communication and facilitation with colleagues at all levels

                                • +
                                • Self-motivated with strong, proven, analytical and problem-solving skills

                                • +
                                • Commitment to standards of professionalism, internal controls and compliance

                                • +
                                • Indications that you fit our desired culture, which mixes beautiful work with smiles and laughter

                                • +
                                +

                                +

                                And you demonstrate:

                                +
                                  +
                                • High standards of business and ethical values including the ability to deal with confidential information

                                • +
                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

                                • +
                                • A teammate mentality coupled with servant leadership

                                • +
                                • A sense of urgency, optimism, and a desire to deliver excellence

                                • +
                                • A desire to drive debate, to speak candidly and to listen empathetically; and

                                • +
                                • Strong orientation towards strategy, change and results

                                • +
                                +

                                +

                                #LI-Hybrid

                                +

                                +

                                +

                                +

                                +

                                Our story:

                                +

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                +

                                +

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                +
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Director--Data-Integration---Performance-Platform_JR-4631?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-27T17:47:04.802Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/202115593-director-data-integration-performance-platform-at-omers,,expired,2023-03-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +25e7b710-9bf5-43ae-9e05-dc1ce4bb275d,217086151,EthicalAI,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2023-04-20T20:49:02.840Z,"

                                Please note: EthicalAI is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023. For event registration, click here

                                EthicalAI
                                looking for candidates who have an understanding of Python and the development of machine-learning software systems.

                                +

                                Deep Learning Models. Machine learning production and MLOPs. Backend infrastructure and machine learning integration.

                                About Us:
                                EthicalAI was created to innovate new AI technology with a focus to make a positive impact on the world and to raise awareness on how to prevent unintended negative consequences and harm from the adoption of this new technology. EthicalAI provides consulting services as well as creating software products in partnership with a large network of pioneers and industry leaders working towards a more sustainable future.

                                Job Description:

                                +

                                We are seeking a highly skilled and motivated Machine Learning Engineer to join our team, working on a cutting-edge project in the power utility domain. The ideal candidate will have a strong background in Python programming, machine learning, deep learning models, and MLOps. They will be responsible for developing, deploying, and maintaining machine learning solutions to optimize inventory management in a stochastic environment.

                                +

                                Responsibilities:

                                +
                                  +
                                • Design, develop, and implement machine learning algorithms and models to address inventory management challenges in the power utility sector.
                                • +
                                • Apply deep learning techniques to analyze and make predictions based on large volumes of data.
                                • +
                                • Collaborate with the software development team to integrate machine learning models into backend
                                • +
                                ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://ethicalai.ca/,,,2023-05-20T20:49:00.000Z,True,39,0,458,https://talenthub.vectorinstitute.ai/jobs/217086151-machine-learning-engineer-at-ethicalai,,expired,2023-05-08T20:49:00.000Z,admin,Startup (1-19),Vector Quick Apply,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +6763cde1-41d4-4fe1-9802-d705953b6056,236452208,Scotiabank,"Senior Manager, Collections Strategies and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.681Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 179148

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job:

                                +

                                +

                                GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

                                +

                                +

                                You, as a Senior Manager Collections Strategies and Analytics, are a leader with strong collaboration and communication skills and a great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and tracking best-in-class collections strategies, consistent process execution, and oversight. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is at the intersection of math/stats, computer science, communication, and domain knowledge in Retail Risk Management.

                                +

                                +

                                What's in it for you?

                                +
                                • Opportunity to make a direct impact to the Bank’s profitability
                                • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs
                                • +
                                +

                                +

                                Job Responsibilities:

                                +

                                Leverage your strong retail risk analytical background in order to collaborate with various business partners to:

                                +
                                • Lead collections analytics, strategy and portfolio performance assessment, and technological improvement
                                • Generate analytical recommendations to influence stakeholders in their actions to minimize loan losses, improve dollars collected, and gain operational efficiencies
                                • Ensure all credit risks associated with collections are quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)
                                • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis
                                • Deliver on analytical projects to improve collection efforts and recoveries
                                • Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive decisions that improve profitability
                                • Design and implement policies to help our customers in need of loan modification programs
                                • Provide oversight of collection efforts by developing performance reports and early warning triggers
                                • +
                                +

                                +

                                Job Requirements:

                                +
                                • A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and a strong background in quantitative analysis
                                • Strong judicious relationship-building and negotiation skills to articulate sound recommendations and influence executives
                                • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                                • A results-driven individual with a high level of curiosity and the ability to dive into details without losing sight of the big picture
                                • Exceptional organization skills to prioritize, manage, and implement a variety of contesting initiatives, on a concurrent or staggered basis
                                • Strong background in quantitative analysis applied to portfolio metrics
                                • Three to five years of experience in retail risk portfolio management, collections or provisions
                                • Strong experience with statistical software packages such as SQL/SAS and Python
                                • Strong experience with Machine Learning techniques
                                • Experience manipulating large and complex databases
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:16:11.213Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/236452208-senior-manager-collections-strategies-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +3a94629c-9347-4ca1-998b-936ef153a632,238529772,Scotiabank,"Senior Manager, Pricing Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.992Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 180230

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose:

                                +


                                The Pricing Optimization team, within Canadian Banking Analytics, supports the revenue and volume growth for each of the product business line, including lending and deposits by providing advanced analytical pricing solutions, influencing Scotia’s strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives. The Senior Manager, Pricing Analytics, is responsible for leading pricing initiatives required to increase customer centricity in
                                setting and executing our product prices – including, but not limited to:

                                +


                                • research, develop, and implement end-to-end pricing models production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.
                                • working with product, finance, treasury, channel and analytics partners to optimize business’ pricing strategy for optimal profitability management
                                • working with technology partners to align and define future state of data and pricing models;
                                • proposing an appropriate pricing optimization framework that overlays customer relationship and value to drive growth and profitability.
                                • apply statistical, analytical, and programming skills to analyze and interpret large data sets and communicate results and insights to business clients and senior members of the pricing team
                                • proposing sip projects where necessary to improve our pricing competency
                                • supporting business development, operations and project teams with the required information for product design, policy and other recommendations to ensure they meet Basel, treasury, etc requirements
                                • overseeing the preparation of regular and ad hoc reports and portfolio analysis to assist senior management in decisionmaking incorporating such things as volume, margin, profitability, etc.

                                +

                                +


                                Accountabilities:

                                +


                                Lead the creation and management of reports and pricing analytics models, analyzing and measuring business line and overall performance:

                                +


                                • Recommend analytical design for pricing use-cases to senior management, and manage progress towards agreed deliverable
                                • Implement necessary experiments to build a repertoire of learnings to inform pricing approach, measure their success, and build an information base of pricing approaches that are accretive to bank results
                                • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank
                                • Collaborate with Data engineering teams to deploy pricing models and algorithms in production, across business lines
                                and geographies
                                • Review data for reasonability and completeness; ensuring integrity of data by performing various cross-checks and balances to source data and other related reports
                                • Participate and contribute to process improvements to existing reports and pricing models including identifying operational issues & procedure documentation
                                • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
                                • Develop/modify financial models and reports as required to support decision-making

                                +


                                Supervise the timely and actionable analyses of financial and non-financial results and trends to support the development of strategies, optimizing product profitability and the Bank’s competitive position by:

                                +


                                • Ensure the preparation and development of ad hoc reports and analyses to assess the financial effectiveness of existing and proposed products, features, programs, campaigns, partner arrangements, etc.
                                • Supervise the development of evaluation models/tools that accurately forecast the impact of proposed strategies and initiatives and key drivers of various Canadian Banking businesses
                                • Oversee the analysis of raw input from disparate sources in order to develop recommendations to support key planning assumptions such as market growth expectations, account growth, volume growth, margins and net-interest revenue
                                • Oversee and develop dealer / broker volume, growth, redemption trends etc for dealer/ broker channels
                                • Oversee the continual monitoring the competitive landscape to stay abreast of industry trends, be ensuring a review of the competitor websites for current deposit pricing

                                +


                                Provide support to the preparation of month-end/year-end financial statements and the profit planning process by:

                                +


                                • Ensuring the completion of monthly statement of revenue and expenses, trend analysis relative to business plan, manage the quarterly volume and forecasting process in partnership with IB Banking Finance
                                • Prepare forecasts, mini forecasts, dashboard reports and various budgetary updates
                                • Assisting in compiling presentations for Senior Management and Executive

                                +


                                Requirements & Qualifications:

                                +


                                • The candidate will be at the intersection of math/stats, computer science, communication, the business
                                line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to
                                drive innovation and digital transformation throughout the Bank and Corporate
                                • Excellent knowledge of financial and statistical modelling, Machine Learning principles and accounting
                                policies to develop models and reports
                                • Strong understanding of pricing methodologies, and other industry regulations impacting deposit pricing
                                • Excellent quantitative technical skills and extensive knowledge in machine Learning libraries in R, Python,
                                Spark
                                • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
                                • Understanding of the banking sector in Canada, both the advisory channel as well as retail banking,
                                including available products, market trends, existing and emerging players, competitive advantages and
                                best practice
                                Behavioural skills:
                                • Excellent analytical skills, numerical ability, accuracy and thoroughness to develop financial models that
                                impact strategic decisions and provide product profitability analysis
                                • Strong communication and interpersonal skills to develop support and cooperative relationships
                                throughout the organization
                                • Customer focus; results focus to meet tight turnaround deadlines
                                • Strong supervisory skills

                                +

                                +


                                Educational Requirements:

                                +


                                • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software
                                Engineering and Mathematics) with minimum 5 years financial services experience

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/238529772-senior-manager-pricing-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,expired,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e2aaa383-d663-409e-b510-2fe04279d3bf,243217369,Sun Life Financial,Senior Campaign Data Analyst (Fixed Term),on_site,"Ontario, Canada",2023-07-05T02:15:02.116Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                As a member of the CXO Campaign Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will leverage our vast data, to enable our business objectives by working on industry leading decision engines and delivering data driven real time decisions. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                +

                                +

                                This is a fixed term position for approximately 1 year that offers 4 weeks vacation annually and partial benefits.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders.

                                • +
                                • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs.

                                • +
                                • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                                • +
                                • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements.

                                • +
                                • Support stakeholders and third parties throughout the campaign implementation process

                                • +
                                • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers.

                                • +
                                • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are complex.

                                • +
                                • Manage multiple campaigns simultaneously.

                                • +
                                • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                • +
                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.

                                • +
                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                                • +
                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.

                                • +
                                • Liaise with stakeholders across other teams to resolve discrepancies.

                                • +
                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                                • +
                                • Support campaign target list generation, analyses, measurement, and reporting

                                • +
                                +

                                +

                                What do you need to succeed?

                                +
                                  +
                                • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce, or equivalent working experience

                                • +
                                • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns, and business.

                                • +
                                • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                • +
                                +

                                +

                                Unique Requirements

                                +

                                +

                                Candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                                +

                                +

                                What will be nice to have?

                                +
                                  +
                                • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                • +
                                • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                • +
                                • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g., SAS RTDM)

                                • +
                                • General programming language knowledge and basic application design

                                • +
                                • Some technical writing, report analysis and PowerPoint presentation creation

                                • +
                                • +

                                  The candidates must have relevant experience in the following areas:

                                  +
                                    +
                                  • Knowledge of Inbound and Outbound campaigns

                                  • +
                                  • Knowledge on the data needs for analytics and campaigns

                                  • +
                                  • Communication and liaison experience between business, analytics, and IT

                                  • +
                                  +
                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                  +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • 20 days vacation per year and an innovative sabbatical program

                                • +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • +
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                                • +
                                • A friendly, collaborative and inclusive culture

                                • +
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • +
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • +
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                09/07/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-Term-_JR00082099?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-14T02:20:02.057Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/243217369-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-07-05T02:15:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +6b270e0f-7caa-40be-babc-a8bb64d87fcd,266970235,TD Bank Group,Quality Engineer Intern/Co-op,on_site,"Toronto, ON",2023-09-04T16:23:04.499Z,"
                                +

                                Campus Role Type

                                +
                                Internship/Co-Op and Summer Opportunities
                                +

                                +

                                Start Date

                                +
                                – Winter
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Workplace Model

                                +
                                Hybrid
                                +

                                +

                                Department Overview

                                +
                                +

                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                +

                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                +
                                  +
                                • Leadership talks with key Leaders from across the organization
                                • +
                                • Lunch and Learns on topics such as Innovation
                                • +
                                • Diversity and Inclusion and Personal Branding and so much more
                                • +
                                +
                                +

                                +

                                Job Details

                                +
                                Are you someone that enjoys breaking things?
                                Are you someone that cares about the end-user experience?
                                Do you get frustrated when things don’t work or takes too long?
                                Do you love coding in Java, SQL, and Python?
                                Do you have an interest in technology and love problem solving?

                                +

                                Then you should join our Quality Engineering Team!
                                TD Quality Engineering (QE) Practice a specialized area dedicated to high-quality application and solution delivery. Similar to industry trends, TD’s definition of this area of discipline (as well as skill and knowledge requirements) has changed over time. One thing hasn’t changed – experts in this area remain highly-marketable across businesses.
                                Some of our QE activities may focuses on test automation, behavior driven development (BDD), continuous integration/ continuous testing, End-to-End testing, environment resiliency, Data/ETL testing on platforms such as Hadoop and Azure Cloud. Quality Engineering activities, in contrast, give stakeholders information about product or service quality while allowing the business to appreciate and understand any implementation risks. Many Testing & QE Experts could be involved in end-to-end delivery of testing, or more focused on a specific discipline.
                                As a QE tester you would write test automations to break things on purpose, so the customer doesn’t break them by accident. Test Quality Engineering is a methodical process that requires planning, careful execution, and documentation. QE testers play an important part in a product’s development. They ensure the final product meets the requirements set out by the client and reduce the number of errors in software. We are looking for bright individuals with a curious mind to work with one of our various quality engineering teams within the Technology group.
                                Quality Engineer Intern/Co-op will be trained and have opportunities to contribute to below responsibilities which may vary by area. This may include, but is not limited to the following:

                                +
                                  +
                                • Build an overall understanding by reviewing system requirements and design documents
                                • +
                                • Create, execute and document detailed, accurate test cases using Test Management tools – JIRA/JTMF
                                • +
                                • Define test data and environment requirements
                                • +
                                • Automate test cases using available automation frameworks such as Selenium, Appium, and Rest assured
                                • +
                                • Test TD mobile and web applications (responsive web) on variety of browsers and Android & iOS mobile devices
                                • +
                                • Execute automated test cases using continuous integration tools such as Jenkins, Bitbucket, and git
                                • +
                                • Detect Accessibility violations via variety of accessibility testing methods/tools
                                • +
                                • Exposure to Data as a Service (DaaS) solutions and processes
                                • +
                                • Attend Agile ceremonies including daily stand ups, refinement, planning, and retrospective sessions
                                • +
                                • Have an exploratory mind set while testing applications, log defects and work with DEV teams to resolve them
                                • +
                                • Provide support to technology peers and business that results in identifying solutions effectively
                                • +
                                • Play an active role in developing test plans, traceability matrices and test closure reports, for small to moderately complex projects
                                • +
                                • Promptly identify and raise awareness of issues
                                • +
                                • Find ways to improve processes and delivery outcomes
                                • +
                                • May support and maintain virtualized services, components, and environments by using Service Virtualization tools to enable functional and non-functional testing
                                • +
                                • Deliver on TD’s technology delivery practices, standards, and project management disciplines
                                • +
                                • Continuously enhance knowledge and expertise, keep current
                                • +
                                • Quality engineers may support our Data platforms, Mobile & Web applications, or Performance engineering.
                                • +
                                +

                                +

                                Job Requirements

                                +
                                  +
                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                • +
                                • Interest in testing and ability to conduct basic testing activities for QE-related projects
                                • +
                                • Strong knowledge in programming languages such as Java/C/C++/Python, database query languages, extensible markup languages (XML), API methods, and experience with Microsoft Office
                                • +
                                • Enthusiast in learning and applying the latest technologies in Azure Cloud, DevOps and CI/CD
                                • +
                                • Readiness to participate in testing processes and methodology
                                • +
                                • Strong communication, verbal, and written skills
                                • +
                                • Detail-oriented, strong analytical skills
                                • +
                                • Self-motivated, independent, and proactive
                                • +
                                +

                                +

                                Additional Information

                                +
                                +

                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                +

                                Early Talent Requirements

                                +
                                  +
                                • This position is a 4-month work term and will commence January 8th – April 26th, 2024..
                                • +
                                • Applications must include a resume (maximum of 2 pages).
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • +
                                • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                • +
                                +

                                Assigned Line of Business Requirements
                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                +

                                HOURS
                                Monday-Friday, standard business hours

                                +

                                #P&T

                                +
                                +

                                +

                                Company Overview

                                +
                                +Our Values
                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                +

                                Making Your Well-being a Priority
                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                +

                                Our Total Rewards Package
                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                +

                                How We Work
                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                +

                                Who We Are
                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                +
                                +

                                +

                                Inclusiveness

                                +
                                +Our Commitment to Diversity, Equity, and Inclusion
                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                +

                                How We’re Helping Make an Impact in Communities
                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                +

                                Accommodation
                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                +

                                We look forward to hearing from you!

                                +
                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/19017327/quality-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-14T16:30:03.732Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/266970235-quality-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19017327/quality-engineer-intern-co-op-toronto-ca/,expired,2023-09-04T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +691361db-5910-4e43-8409-3a946d32394d,265548491,RBC,Client Intelligence - Associate,on_site,"Toronto, ON, Canada",2023-09-01T02:17:02.954Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Client Intelligence - Associate

                                +

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                +

                                The Capital Markets Client Intelligence team is responsible for producing forward-looking analytics that enable RBC’s Capital Markets businesses to make informed decisions. The CI team leverages internal and external benchmarking data and client feedback to deliver client insights and highlight revenue generating opportunities to the Sales & Trading and Corporate & Investment Banking divisions in support of the firm’s key strategic initiatives. In addition to delivering best-in-class analytics and data visualizations, the team partners closely with technology to enhance client analytics tools and CRM used by the front office.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Leverage various data sources (internal metrics, benchmarking data, client feedback, CRM) to produce data visualizations in Tableau that highlight actionable client insights in support of strategic business initiatives

                                • +
                                • Coordinate the annual sales & client planning process and track monthly revenue forecasting and Sales KPIs

                                • +
                                • Partner with Sales and Sales Business Management in the development and design of business KPIs and Tableau dashboards

                                • +
                                • Coordinate client benchmarking efforts with external vendors including delivery of findings to the business

                                • +
                                • Lead integration of benchmarking data to produce actionable client insights

                                • +
                                • Support the Sales platform by leveraging client data and coordinating strategic initiatives to increase revenue and deepen relationships

                                • +
                                • Support Senior Relationship Management in the internal account review process to identify action plans to improve client rankings and increase revenues

                                • +
                                • Provide senior leadership client briefs and opportunity analysis ahead of client meetings

                                • +
                                +

                                +

                                What do you need to succeed?

                                +

                                Must-have:

                                +
                                  +
                                • Advanced proficiency in Tableau and Excel (pivot tables, formulas, charts & graphs)

                                • +
                                • Passion for data visualization and demonstrated ability to organize large amounts of data and effectively present metrics and analysis

                                • +
                                • Positive attitude and collaborative work approach

                                • +
                                • Ability to multi-task and manage multiple initiatives and competing priorities

                                • +
                                • Strong stakeholder management skills and ability to work in fast-paced environment

                                • +
                                • Strong written & verbal communication skills; ability to communicate confidently

                                • +
                                • Influencing skills; ability to build relationships with key internal stakeholders and partners

                                • +
                                • Self-starter, ability to progress and deliver initiatives with little direction / oversight

                                • +
                                • Ambitious & driven; doesn’t settle for status quo and consistently looks for ways to improve

                                • +
                                • Bachelor’s degree or higher; at least 2 years of work experience in data visualization and analytics

                                • +
                                +

                                +

                                Nice to have:

                                +
                                  +
                                • Capital Markets experience, knowledge of Global Markets products (Fixed Income, FX, Commodities, Futures and Equities) or Corporate & Investment Banking businesses

                                • +
                                • Experience with client provided ranking and feedback such as scorecards and broker votes

                                • +
                                • Experience working in a trading floor environment

                                • +
                                • Ability to effectively communicate to senior management in a concise manner

                                • +
                                • Strong presentation skills, ability to effectively convey messaging

                                • +
                                • Ability to synthesize large amounts of information to key takeaways and themes for senior management

                                • +
                                • Experience in supporting senior leadership teams

                                • +
                                • Proficiency in SQL, Python and / or Alteryx

                                • +
                                +

                                +

                                ​​​​​​​What’s in it for you?

                                +
                                  +
                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual

                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                • +
                                • Opportunities to do challenging work and take on greater responsibilities

                                • +
                                • Access to leaders who support your development through coaching and mentoring opportunities

                                • +
                                • Work in a dynamic, collaborative, innovative, and high-performing team

                                • +
                                • Ability to make a difference and lasting impact

                                • +
                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Capital Markets

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-08-30

                                Application Deadline:

                                2023-09-13
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000066744/Client-Intelligence-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-09-14T18:11:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/265548491-client-intelligence-associate-at-rbc,,expired,2023-09-01T02:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +84a572f0-3cd6-43ef-ac27-f2ec59d33b75,265551740,Accenture,CUSTOMER ANALYTICS AND PERSONALIZATION LEAD,on_site,"Toronto, ON, Canada",2023-09-01T02:22:01.671Z,"
                                +

                                Job Description

                                +
                                +

                                WHO WE ARE:

                                Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

                                +


                                There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Here’s a snapshot of your responsibilities:

                                +

                                +

                                THE WORK:

                                +

                                +
                                • Lead and manage teams that will perform assessments, develop strategies, and deliver roadmaps to help clients understand and evolve their existing customer analytics and personalization capabilities.

                                • Lead growth within our practice through talent development, business development and exceptional project delivery.

                                • Design, develop, and implement measurement solutions that tie organizational objectives to customer experience capabilities while communicating the value to an executive client audience.

                                • Lead teams and manage clients through strategy and deployment of customer analytics platforms and services across digital properties including mobile web and apps.

                                • Lead the orchestration of martech platforms leveraging data and analytics to execute personalization and optimization use cases.

                                • Strong understanding and experience leveraging AI/ML capabilities to execute prioritized use cases.

                                • Clearly and effectively demonstrate Accenture’s thought leadership in customer analytics and personalization.

                                • Support and lead business development for customer analytics and personalization, including proposals and solution architecture.

                                • Define organization processes and operating model to support the development and evolution of a customer data and analytics capability.

                                • Be a strategic and technical advisor to our client and account teams.

                                • +
                                +

                                show more show less
                                +

                                Qualifications

                                +

                                HERE’S WHAT YOU’LL NEED:

                                +
                                  +
                                • Minimum of 10 years of experience in digital marketing and customer data / analytics.

                                • +
                                • Minimum of 10 years of experience using, installing and / or customizing digital analytics, tag management, and / or customer data solutions.

                                • +
                                • Experience with complex tool deployments across product suites like Adobe Experience Cloud and Google Marketing Platform / Google Cloud Platform.

                                • +
                                • Experience working with Customer Data Platforms and journey orchestration tools.

                                • +
                                • Technical experience of how digital analytics and tag management solutions are deployed and architected across various data platforms.

                                • +
                                • Ability to manage multiple teams on and offshore who are responsible for implementing and operating a digital analytics program.

                                • +
                                • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

                                • +
                                • Bachelor\'s degree or equivalent work experience.

                                • +
                                +

                                +

                                BONUS POINTS IF:

                                +
                                  +
                                • Strong communication skills with the proven ability to explain advanced concepts and complex solutions.

                                • +
                                • Passionate about data, analytics and technology (ex: avid consumer of TED talks and Wired Magazine).

                                • +
                                • Deep knowledge of strengths and weaknesses across technology providers.

                                • +
                                • Ability to architect a digital customer data architecture and support the deployment delivery.

                                • +
                                • Thought leader with a track record of developing perspectives on industry trends and best practices related to data and analytics (i.e. Generative AI).

                                • +
                                • Experience delivering and managing client-facing projects in consulting, agency or other business-related services.

                                • +
                                • Experience selling and solutioning large-scale programs oriented around data and analytics.

                                • +
                                • Experience performing advanced analytics on digital data sources and working within cloud environments (AWS, GCP, Azure).

                                • +
                                • Experience developing reporting and advancing data visualization capabilities with new or existing tools (e.g. Tableau, Qlik, PowerBI, etc.).

                                • +
                                • Experience with data and analytic tools such as such as SQL, Excel-pivot tables, SAS, UNIX.

                                • +
                                • Strong knowledge of data integration techniques and processes (Data matching & key vendors, data fusion & key partners, etc.).

                                • +
                                +

                                +
                                +

                                Locations

                                +
                                Alberta - Calgary, British Columbia - Vancouver, New Brunswick - Fredericton, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                +
                                +
                                +

                                +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                +
                                +

                                Equal Employment Opportunity Statement

                                +

                                +

                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                +

                                +

                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                +

                                +

                                Requesting An Accommodation

                                +

                                +

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                +

                                +

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                +

                                +

                                Other Employment Statements

                                +

                                +

                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                +

                                +

                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

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                                Job Link:
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                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00170428_en&title=CUSTOMER+ANALYTICS+AND+PERSONALIZATION+LEAD,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-09-14T18:11:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/265551740-customer-analytics-and-personalization-lead-at-accenture,,expired,2023-09-01T02:22:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, +a5d9cf87-be7a-413c-982a-93c7d430c8c6,267931576,Scotiabank,"Senior Manager, Tangerine Fraud Analytics",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-09-07T16:22:06.838Z,"

                                +

                                +

                                Requisition ID: 184254

                                +

                                Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                                +

                                +

                                Purpose
                                As the Senior Manager, Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures. You will also proactively contribute to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Credit Cards, Unsecured Lending Products and Mortgages.

                                +


                                What you will do in this role:
                                • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Lead a team that is accountable for developing, executing and monitoring fraud strategies across multiple platforms and product lines for Canadian Banking, leveraging best in class analytics
                                • Ensure data mining tools (SAS, Angoss, Python, R) are effectively leveraged to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                • Own the development of fraud forecasting and provide insight to fraud operations and business leaders
                                • Analyze and report on performance of existing fraud strategies for Canadian Banking
                                • Identify and leverage new data, adopt new techniques and technology to improve fraud strategy performance
                                • Proactively identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams
                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                • Lead / participate in the identification, development and implementation of new initiatives
                                • Work with fraud operations and other business partners to ensure delivery of new initiatives
                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group; effectively manage and prioritize initiatives, projects and ad-hoc analysis with stakeholders
                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

                                +


                                What we're looking for:
                                • A University degree in statistics, mathematics or computer science
                                • 5+ years analytical experience including advanced statistical analysis, ideally related to Fraud Analytics or Risk Management; ability to draw and communicate key insights from data
                                • Experience with statistical software such as SQL, SAS and/or Knowledge Seeker
                                • Experience with fraud management platform such as PRM/TSYS/VCAS strongly desired
                                • Proficient in building complex financial models that impact strategic decisions and provide product risk analysis
                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                • Strong communication skills essential with clients, vendors and management
                                • Must be self-motivated, energetic and results-oriented and committed to adding value

                                +

                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                +

                                At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                                ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/573693217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/267931576-senior-manager-tangerine-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Tangerine-Fraud-Analytics-ON-M3C0N5/573693217/,expired,2023-09-07T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +c5ce153a-6d5a-4e27-9d02-23ba587e2223,203172170,Scotiabank,"Senior Manager, Data Governance and Analytics",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:02.636Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 173614

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job:

                                +

                                +

                                Working within Global Risk Management (GRM), this position will take accountability and drive the production of data driven analyses resulting in actionable insights that improve the Bank’s Operational Risk performance. Additionally, support Global Operational Risk (GOR)’s data governance process to ensure compliance with the Bank’s data standards.

                                +

                                +

                                Job Responsibilities:

                                +

                                +

                                Leverage your strong analytical and data management background to collaborate with various business partners to:

                                +

                                • Lead the development, implementation, and monitoring of Global Operational Risk data strategies to mitigate Operational Risk events and support business line decision making
                                • Act as a ‘Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                • Deliver on analytical projects that provide actionable insights to improve Operational Risk decision making
                                • Ensure team collaboration with partners on business problems / issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • Recommend improvements to existing processes to support data analytics, including data collection in Source systems
                                • Introduce changes under a test/control framework to help drive objective, evidence-based decisions
                                • Work closely with leadership teams to create data strategies that support data modeling
                                • Build strong and influential internal relationships (with stakeholders such as other Bank data and analytics teams, GOR teams, third parties, etc.) to help ensure business objectives are being met
                                • Ensure all GOR’s data processes comply with the Bank’s data standards, including support with the monitoring of data quality processes.

                                +

                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • Champions a high-performance environment and contributes to an inclusive work environment.

                                +

                                Job Requirements:

                                +

                                +
                                • Ability to be work independently and able to work on teams cross-functionally
                                • Strong leadership, collaboration, and communication skills
                                • Ability to present complex information in a simplified way to various audiences
                                • Experience in statistical & quantitative analysis
                                • Experience in programming ( SAS / Python /R) and databases (SQL,DB2) knowledge, ability to process and analyze large volumes of data
                                • Experience in reporting automation through BI tools like Tableau, Power BI etc
                                • Experience with statistical software packages such as R, Python, and SAS
                                • Experience manipulating large and complex databases
                                • Experience with Operational Risk platforms and methodologies, and their application in strategic decision making, is strongly desired
                                • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                • A University degree in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
                                • Fluency in Spanish is an asset
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-08T20:20:12.419Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/203172170-senior-manager-data-governance-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, 72707d2e-c1cf-4604-bfe2-5d13de8236c7,203174380,TELUS,DataOps Engineer,on_site,"Ontario, Canada",2023-03-09T17:42:06.342Z,"

                                @@ -121322,959 +123606,6 @@ aa2ffb47-ddd0-4330-94e5-6894426288f2,277957152,BenchSci,"Engineering Manager, Ma

                                #LI-Remote
                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-11-02T21:22:00.000Z,False,0,5,67,https://talenthub.vectorinstitute.ai/jobs/277957152-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-10-08T16:29:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, -85d5fa17-e7d1-4c10-92d7-1d36b36a334c,280466153,Scotiabank,Global Banking and Markets - GAFE Financial Engineering Intern/Co-op - Summer 2024,on_site,Canada : Ontario : Toronto,2023-10-16T16:24:04.920Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 186943

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Term: May to August 2024

                                -

                                Application Deadline: 11/04/2023

                                -

                                -

                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                -

                                -

                                As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                -

                                -

                                Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                -

                                -

                                Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                -

                                -

                                -

                                Is this role right for you? In this role, you will:

                                -
                                • Assist the development and testing of cutting-edge derivatives pricing models
                                • Build quantitative tools for trading and structuring desks
                                • Build and maintain infrastructure processes for new business lines
                                • Ad hoc investigations for trading and marketing desks
                                • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                • Provide support to the trading and sales desks
                                • -
                                -

                                -

                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                -
                                • You are currently enrolled in post-secondary education.
                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                • You have strong analytic and problem-solving skills.
                                • You have strong interpersonal skills, results oriented and a team player.
                                • You are able to work well in a fast-paced environment with changing priorities.
                                • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                • -
                                -

                                -

                                What’s in it for you?

                                -
                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                • -
                                -

                                This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                -

                                -

                                How do I apply?

                                -

                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                -

                                -
                                1. Complete your PLUM Profile here and save as a screenshot.
                                2. Complete a short one-way video interview here. -
                                3. -Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                4. -
                                -

                                -

                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternCo-op-Summer-2024-ON/574896817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-06T16:29:03.298Z,False,0,11,101,https://talenthub.vectorinstitute.ai/jobs/280466153-global-banking-and-markets-gafe-financial-engineering-intern-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternCo-op-Summer-2024-ON/574896817/,expired,2023-10-16T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -264e22d9-d02a-4cd0-bdc1-8f5625cdccba,276805589,York University,Canada Research Chair (Tier 2) in Computational Neuroscience (Assistant/Associate Professor) ,on_site,"Toronto, ON, Canada",2023-10-04T19:38:13.298Z,"

                                Canada Research Chair (Tier 2) in Computational Neuroscience (Assistant/Associate Professor)
                                Department of Psychology, Faculty of Health

                                Date Posted:
                                September 18, 2023
                                Application Deadline:
                                November 15, 2023

                                -

                                The Department of Psychology, in the Faculty of Health at York University, invites highly qualified applicants for a Tier 2 Canada Research Chair (CRC) at the rank of Assistant/Associate position in Computational Neuroscience. This is a tenure-track appointment to the Professorial Stream to commence July 1, 2024.

                                -

                                This is a Canada Research Chair Tier 2 appointment. The Canada Research Chairs (CRC) program seeks to attract outstanding researchers for careers at Canadian universities. Tier 2 Chairs are intended for exceptional emerging scholars (i.e., within 10 years of attaining their highest degree at the time of nomination, with consideration for career breaks) who have the acknowledged potential to lead their field of research. Appointment to a Tier 2 Chair is for five years, is renewable once, and comes with enhanced research support from the program. Applicants who are more than 10 years from their highest degree (and where career breaks exist, including maternity leave, extended sick leave, clinical training, etc.) may have their eligibility for a Tier 2 Canada Research Chair assessed through the program’s Tier 2 justification process. Please see the CRC website for further eligibility details.

                                -

                                York acknowledges the potential impact of various life circumstances (e.g., illness, disability, caregiving, family commitments) on a candidate’s record of research and other achievements. Candidates are encouraged to describe such circumstances and their impact in their application. This information will be taken into careful consideration during the assessment process.

                                -

                                Recognizing the underrepresentation of women and gender minorities among CRCs, this position is open only to qualified researchers who indicate on the Affirmative Action self-identification form (see below) that they identify as women or gender non-conforming (e.g., genderfluid, nonbinary, Two Spirit, trans man, trans woman). The appointment is part of the University’s Affirmative Action program, which is based on the special program provisions of the Ontario Human Rights Code.

                                -

                                This position is a key part of York’s strategy to accelerate its progress toward being recognized nationally and internationally as a top comprehensive, research-intensive university. This is a research-enhanced faculty position partially funded by the Canada First Research Excellence Fund VISTA (Vision: Science to Applications) program. The successful candidate will engage with, and benefit from, the VISTA program, which focuses on the intersection between biological and computational vision research. The VISTA program is supported by a total of $120 million in funding over seven years. The successful candidate will be eligible for enhanced start-up funds from VISTA. A key faculty resource includes access to a state-of-the-art MRI facility dedicated to research.

                                -

                                The successful applicant will have the opportunity to join unique interdisciplinary Organized Research Units (ORUs) at York, including the Centre for Vision Research, the Centre for Artificial Intelligence and Society, and the new Centre for Integrative and Applied Neuroscience. The successful applicant can also elect to become a member of the Connected Minds program, which focuses on scholarship in three main themes: I. Co-creating Research for Societal Needs and Predicted Impact; II. Fundamentals of Social Interaction: Neural, Algorithmic, and Social Networks; and III. Designing and Developing Socially Responsible Technologies. The successful applicant can also elect to be considered for appointment to the Vector Institute for Artificial Intelligence as a Vector Faculty Affiliate or Faculty Member. Located in Toronto, The Vector Institute is home to over 700 active researchers with broad expertise in AI.

                                -

                                Candidate Qualifications:

                                -

                                Degree:

                                -

                                PhD in Psychology, Computational Neuroscience, Neuroscience or related field is required. We welcome applicants with expertise in developing and applying innovative computational methodologies (e.g., big data analytics, supervised and unsupervised deep models, reinforcement learning, dynamical systems, Bayesian models, information theoretic approaches) to diverse forms of visual neuroscience data (e.g., behavioural, fMRI, EEG, single-unit or multi-unit recordings). Post-doctoral experience is strongly preferred.

                                -

                                Scholarship:

                                -

                                o A coherent and well-articulated program of research and specialization in computational neuroscience with application to visual perception, broadly defined.

                                -

                                o A record or evident promise of generating innovative, substantive, rigorous, and as appropriate, externally funded research. For Associate Professor level, record of external grants is required. o A record or evident promise of making influential contributions and demonstrating excellence in the field (e.g., publications in top-tier journals, invited presentations, patents).

                                -

                                Teaching:

                                -

                                o A record or evident promise of excellence in teaching and dedication to students. Evidence of excellence or promise of excellence in teaching will be provided through a teaching statement that articulates teaching philosophy and documents teaching and supervisory accomplishments and pedagogical innovations, including curricular development, teaching evaluations, supervision of research students and letters of reference).

                                -

                                o Ability to teach graduate-level classes in computational methods for statistical modeling, computational/theoretical neuroscience, and undergraduate level classes in statistics & research methods for psychology students.

                                -

                                o Suitability for prompt appointment to the Faculty of Graduate Studies, given that the position will involve graduate teaching and supervision.

                                -

                                • For Associate Professor level, a record of graduate student supervision, as well as undergraduate teaching experience, is required.

                                -

                                Hiring Policies:

                                -

                                • Salary will be commensurate with qualifications and experience.

                                -

                                • All York University positions are subject to budgetary approval.

                                -

                                • York is an Affirmative Action (AA) employer and strongly values diversity, including gender and sexual diversity, in its community. Details of the AA Program, which applies to women, members of racialized groups, Indigenous peoples, persons with disabilities and those who identify as 2SLGBTQ+, can be found here or by contacting Christal Chapman, EDI Program Manager (chapman7@yorku.ca; 416-736-5713).

                                -

                                • York welcomes and employs scholars from all over the world. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous peoples of Canada will be given priority.

                                -

                                • York has a policy on Accommodation in Employment for Persons with Disabilities and is committed to working towards a barrier-free workplace and expanding the accessibility of the workplace to persons with disabilities. Applicants who require accommodation are invited to contact Dr. Jennifer Connolly, Chair, Department of Psychology, psychair@yorku.ca.

                                -

                                Application Process:

                                -

                                • Due date for completed applications: November 15, 2023.

                                -

                                • Required materials: 1) current CV; 2) cover letter of application (up to 400 words); 3) A research statement (up to 1200 words); 4) A teaching dossier (that includes a teaching statement (up to 800 words), course outlines from previously taught courses, and teaching evaluations); 5) The

                                -

                                names and contact information for three referees willing to provide a confidential letter of reference. Reference letters will only be requested for shortlisted candidates. Referees should be able to provide informed letters of reference and be advised to address the candidate’s qualifications and teaching experience in relation to the position.

                                -

                                • Provide required information regarding your Canadian work status and optional self-identification for Affirmative Action purposes as part of the online application.

                                -

                                • All questions regarding this position should be directed to Dr. Erez Freud, Search Committee Chair, efreud@yorku.ca.

                                -

                                Submit materials: at HH_CRC_ComNeuro

                                -

                                Learn More About York:

                                -

                                • York University generates and shares knowledge through our research, teaching and engagement with communities around the world. The 2023-2028 Strategic Research Plan showcases the depth, breadth and ambition of research at York.

                                -

                                • York’s commitments to social justice are laid out in our Decolonizing, Equity, Diversity and Inclusion Strategy, the Framework & Action Plan on Black Inclusion and the Indigenous Framework for York University.

                                -

                                • Follow the activities and accomplishments of York’s faculty, students and staff on YFile.

                                ",,https://www.surveymonkey.com/r/HH_CRC_ComNeuro,aitalent@vectorinstitute.ai,https://www.yorku.ca/,,,2023-11-15T19:38:00.000Z,False,0,4,99,https://talenthub.vectorinstitute.ai/jobs/276805589-canada-research-chair-tier-2-in-computational-neuroscience-assistant-associate-professor-at-york-university,,expired,2023-10-04T19:38:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Mid-Senior Level,PhD,New Posting, -7fca22ea-bf67-4e21-940a-fa0eb823ead3,283724537,Borealis AI,Senior Research Engineer,on_site,"Ontario, Canada",2023-10-26T12:25:01.612Z,"
                                -
                                -

                                Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                -

                                We’re looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                -

                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                -

                                Your responsibilities include:

                                -
                                  -
                                • Building machine learning-based software solutions;
                                • -
                                • Collaborating with business stakeholders to prototype machine-learning solutions rapidly;
                                • -
                                • Conducting comparisons to existing algorithms and baselines;
                                • -
                                • Reviewing, extending, and optimizing prototype solutions;
                                • -
                                • Collaborating with the engineering team to integrate algorithms into products;
                                • -
                                • Developing reusable internal tools to facilitate research prototyping; and
                                • -
                                • Supporting projects with thorough documentation, design decisions, and capabilities.
                                • -
                                -

                                You\'re our ideal candidate if you:

                                -
                                  -
                                • A master’s or PhD degree in computer science, software engineering, or equivalent, with research experience in data systems;
                                • -
                                • 5+ years of software engineering experience in a high-responsibility, minimal-supervision environment;
                                • -
                                • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Java;
                                • -
                                • Solid understanding of distributed computing using CPUs and GPUs;
                                • -
                                • Familiarity to Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                • -
                                • Strong communication skills and a collaborative attitude
                                • -
                                -
                                -

                                What\'s in it for you?

                                -
                                  -
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • -
                                • Leaders who support your development through coaching and managing opportunities;
                                • -
                                • Ability to make a difference and lasting impact from a local-to-global scale
                                • -
                                -

                                About Borealis AI

                                -

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -
                                ",,https://www.borealisai.com/careers/?gh_jid=6851963002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-11-09T12:31:03.380Z,False,0,6,83,https://talenthub.vectorinstitute.ai/jobs/283724537-senior-research-engineer-at-borealis-ai,,expired,2023-10-26T12:25:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -f7fa0d30-907f-4d88-b151-8a75a08ba987,339491919,Ada,Data Annotation Specialist - Machine Learning,on_site,"Ontario, Canada",2024-08-26T06:14:03.459Z,"
                                -
                                -
                                -
                                At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
                                -
                                -
                                Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
                                -
                                -
                                -

                                As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

                                -

                                We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

                                -

                                About You

                                -
                                  -
                                • Motivated to complete tasks with a high degree of attention to detail and efficiency
                                • -
                                • French native speaker with strong written and verbal communication skills in English. Fluency and proficiency in Spanish is a plus.
                                • -
                                • Proficient computer skills and familiarity with programs such as Excel, GSheets
                                • -
                                • Highly organized
                                • -
                                -

                                Outcomes

                                -
                                  -
                                • Collect, validate and prepare Data to support model training and other ML/AI development processes
                                • -
                                • Consistently deliver high quality annotated data
                                • -
                                • Become an owner of Ada’s data annotation processes and help to scale them
                                • -
                                • Refine the annotation tasks and guidelines based on the experience acquired through the inspection of large amounts of data
                                • -
                                • Create clear and concise documentation to document progress and processes
                                • -
                                -

                                Nice to have

                                -
                                  -
                                • Proficiency in other languages
                                • -
                                • Interested in human language
                                • -
                                • Interested in technology
                                • -
                                -

                                Benefits

                                -
                                  -
                                • Competitive salary and generous stock option plan
                                • -
                                • Unlimited vacation
                                • -
                                • Wellness account
                                • -
                                • Extended health coverage
                                • -
                                • Dental/optical/travel insurance
                                • -
                                • Life insurance
                                • -
                                • Employee and family assistance plan
                                • -
                                -

                                Perks

                                -
                                  -
                                • Flexible work schedule
                                • -
                                • Remote-first, In-person friendly work environment with WFH budget
                                • -
                                • Paid parental leave for Canadian residents
                                • -
                                • Development opportunities

                                  -
                                • -
                                -

                                The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

                                -

                                #LI-NS1

                                -
                                -
                                -

                                About Us

                                -

                                Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

                                -

                                We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

                                -

                                Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

                                -

                                Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

                                -

                                -

                                -
                                -
                                ",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,feed-importer@jobboard.io,,,,2024-09-25T17:26:22.700Z,False,0,13,62,https://talenthub.vectorinstitute.ai/jobs/339491919-data-annotation-specialist-machine-learning-at-ada,,expired,2024-08-26T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -9f104a4e-a4e4-4e31-bc74-90c59ab6919a,342353152,Google,"Senior Software Developer, Machine Learning, Google Workspace",on_site,"Toronto, ON, Canada",2024-09-16T12:29:02.213Z,"
                                -
                                -

                                Senior Software Developer, Machine Learning, Google Workspace

                                -
                                -
                                -
                                -
                                -share -
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                                • -linkCopy link -
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                                • -emailEmail a friend -
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                                -corporate_fareGoogleplaceWaterloo, ON, Canada
                                -
                                -
                                -
                                -bar_chartMid -
                                -
                                -

                                Mid

                                -
                                Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
                                -
                                -
                                -
                                -
                                -
                                -Apply
                                -
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                                -share -
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                                • -linkCopy link -
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                                • -emailEmail a friend -
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                                -

                                Minimum qualifications:

                                -
                                  -
                                • Bachelor’s degree or equivalent practical experience.
                                • -
                                • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
                                • -
                                • 3 years of experience testing, maintaining and/or launching software products, and 1 year of experience with software design and architecture.
                                • -
                                • 3 years of experience with ML/AI algorithms and tools, deep learning and/or natural language processing.
                                • -
                                -

                                Preferred qualifications:

                                -
                                  -
                                • Master\'s degree or PhD in Computer Science or related technical field.
                                • -
                                • 1 year of experience in a technical leadership role.Experience developing accessible technologies.
                                • -
                                -
                                -
                                -

                                About the job

                                -

                                Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                -

                                With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                                -

                                The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience -- and changing the way they think about computing.

                                -
                                -
                                -

                                Responsibilities

                                -
                                  -
                                • Write and test product or system development code.
                                • -
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                • -
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • -
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                • -
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                • -
                                -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                -

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                -

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                -

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                -

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                -
                                -
                                ",,https://www.google.com/about/careers/applications/jobs/results/139062413465920198-senior-software-developer-machine-learning-google-workspace?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-09-26T08:39:04.960Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/342353152-senior-software-developer-machine-learning-google-workspace-at-google,,expired,2024-09-16T12:29:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -3fa84e4f-9fff-42bc-9b03-83c6f20ad58e,313621456,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2024-03-21T06:24:02.280Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                -

                                What You’ll Be Doing

                                -

                                -

                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                -

                                -

                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                -

                                -

                                How You’ll Succeed

                                -
                                  -
                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                • -
                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                • -
                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                • -
                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                • -
                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                • -
                                -

                                -

                                Who You Are

                                -
                                  -
                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                • -
                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                • -
                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                • -
                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                • -
                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                • -
                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                • -
                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                • -
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                *Subject to plan and program terms and conditions

                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                161 Bay Street, 39th Floor

                                -

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                -

                                Skills

                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2402312?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-04T06:29:03.906Z,False,0,1,54,https://talenthub.vectorinstitute.ai/jobs/313621456-director-treasury-quantitative-analytics-at-cibc,,expired,2024-03-21T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -0c5b6ece-3ad2-4e71-b532-6d4818fe53e0,314922612,CIBC,"Sr. Manager, Advanced Analytics",on_site,"Ontario, Canada",2024-03-28T06:24:02.102Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                -

                                What you\'ll be doing
                                Reporting to Director, Advanced Analytics, Risk Insights and Monitoring, you will be a senior contributor for developing and delivering on the Advanced Analytics team’s technical solution strategies and commitment to develop, support, and continuously improve analytics capabilities through the delivery of data analytics services. The Senior Manager is expected to lead the technical design and development of key analytics projects, and will assist the execution and delivery of advanced analytics strategy.

                                -


                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                -

                                -

                                How you\'ll succeed

                                -
                                  -
                                • -Leverage Advanced Analytics- Modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Business Controls. Actively lead complex advanced analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.
                                • -
                                • -Provide Technical, Motivational and Strategic- Thought leadership to the Advanced Analytics team in planning, developing and executing enhanced data analysis to support all parts of the Business Controls function.
                                • -
                                • -Lead the Technical Solution Design and Development of new and ongoing projects using predictive/analytical algorithms and statistical data modeling tools to derive meaningful and actionable insights from data to support Business Controls activities.
                                • -
                                • -Design and Create Interactive Dashboards to support visual analytics projects and create continuous monitoring and control testing programs, data profiles and KPI/KRI dashboards.
                                • -
                                • -Work with internal stakeholders to develop best practices in data infrastructure to enable new analytics. Generate statistical outputs and translate into a business context for presentation and discussion with stakeholders.
                                • -
                                • -Develop technical templates and documentation standards to ensure all work products are standardized and effectively delivered. Continually improve sustainable internal methods, standards, processes, and practices for the delivery of data management and data analytics services.
                                • -
                                • -Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services.
                                • -
                                -

                                -

                                Who you are

                                -
                                  -
                                • -Completed a degree (preferably at the graduate level) in Computer Science, Engineering, Statistics, Mathematics, Quantitative Finance or related sciences. Strategic and systematic thinker with a strong analytical and process development background.
                                • -
                                • -5+ years of experience and advanced practical and theoretical knowledge in specialized areas of responsibility, including data analytics, quantitative modeling, Generative AI/AI/ML/NLP, BI, and statistical analysis.
                                • -
                                • -Demonstrated experience using advanced analytical, data management, and visualization tools: Microsoft Azure, SAS, Tableau, Python, R, SQL, and Oracle. Knowledge of CIBC data sources, applications, and system platforms is a benefit.
                                • -
                                • -Exceptional communication skills (both written and oral) with experience turning data into insights and presenting complex technical ideas and sensitive findings to business stakeholders
                                • -
                                • -Strong organization, leadership, and team-oriented skills. Demonstrated ability to collaborate as well as lead across a matrix organization to execute on priorities, influence change and deliver results.
                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                *Subject to plan and program terms and conditions

                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Toronto-81 Bay, 23rd Floor

                                -

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                -

                                Skills

                                Actionable Insights, Business Effectiveness, Business Implementation, Communication, Conversational AI, Data Reporting, Decision Making, Generative AI, Metrics Analysis, Microsoft Azure, Process Improvements, Reporting and Analysis, Statistical Analysis
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Manager--Advanced-Analytics_2407087-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-04T06:29:03.906Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/314922612-sr-manager-advanced-analytics-at-cibc,,expired,2024-03-28T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -963eda28-25bb-4a9f-9ecc-5a35efc0e49a,310794659,Cohere AI,"Software Engineer, Finetuning Infrastructure",on_site,"Toronto, ON, Canada",2024-03-07T16:34:01.694Z,"
                                -
                                Who are we?
                                -
                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                -

                                -
                                We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                -

                                -
                                Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                -

                                -
                                Join us on our mission and shape the future!
                                -

                                -
                                Why this Role?
                                -
                                Our finetuning team owns and delivers our finetuning experience to our customers. The efforts undertaken by this team directly contribute to our success as a company. Most recent projects included launching a comprehensive suite of finetuning including chat, generate, classify and rerank finetuning, improving reliability, and launching a programmatic API for managing finetunes. This team works across almost all teams at Cohere and at times, engages directly with our customers.
                                -

                                -
                                -Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Finetuning team concentrated in the PST and EST timezone. -
                                -

                                -

                                -

                                -

                                -
                                -

                                In order to be successful in the role, you have:

                                -
                                    -
                                  • Experience finetuning LLMs, including conversational, generative and embedding
                                  • -
                                  • Experience building production-grade machine learning systems
                                  • -
                                  • A passion for delivering joyful experiences to customers
                                  • -
                                  • Experience in Golang (or, other languages designed for high-performance scalable servers) and Python (or, other scripting languages)
                                  • -
                                -
                                -

                                Additional qualifications that will help you excel in the role are:

                                -
                                    -
                                  • Experience training, serving, and/or deploying LLMs
                                  • -
                                  • Experience working on embeddings - in a personal or a professional setting!
                                  • -
                                -
                                -

                                -

                                -
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                -

                                -
                                We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                                -

                                -
                                Our Perks:
                                -
                                🤝 An open and inclusive culture and work environment
                                -
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                -
                                🍽 Weekly lunch stipend, in-office lunches & snacks
                                -
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                -
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                -
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                -
                                🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                -
                                ✈️ 6 weeks of vacation
                                -

                                -
                                Note: This post is co-authored by both Cohere humans and Cohere technology.
                                -
                                ",,https://jobs.lever.co/cohere/01900997-5583-487b-8fcf-39c326de1e40,feed-importer@jobboard.io,,,,2024-04-06T18:29:10.816Z,False,0,18,86,https://talenthub.vectorinstitute.ai/jobs/310794659-software-engineer-finetuning-infrastructure-at-cohere-ai,https://jobs.lever.co/cohere/01900997-5583-487b-8fcf-39c326de1e40,expired,2024-03-07T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -42615920-3a49-4c01-84be-a8a6aef4e237,310721862,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2024-03-07T06:45:03.137Z,"
                                -

                                Why join us?

                                -

                                -

                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                -

                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                -

                                -

                                Scope of Position: Support investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                -

                                -

                                Responsibilities:

                                -
                                  -
                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                • -
                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                • -
                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                • -
                                • Automate manual processes and optimize data delivery
                                • -
                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                • -
                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                • -
                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                • -
                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                • -
                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                • -
                                -

                                -

                                -

                                Qualifications:

                                -
                                  -
                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                • -
                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                • -
                                • -Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar
                                • -
                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                • -
                                • Deep proficiency in SQL, Python, and similar languages
                                • -
                                • Good understanding of investment products
                                • -
                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                • -
                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                • -
                                • Investment data modeling experience using the Kimball method is an asset
                                • -
                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                • -
                                • Data governance experience is an asset
                                • -
                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                • -
                                -

                                -

                                And you demonstrate:

                                -
                                  -
                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                • -
                                • A teammate mentality coupled with servant leadership
                                • -
                                • A sense of urgency, optimism, and a desire to deliver excellence
                                • -
                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                • -
                                • Strong orientation towards strategy, change, and results
                                • -
                                • A continuous improvement mindset
                                • -
                                -

                                -

                                -

                                -

                                Our story:

                                -

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                -

                                -

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data_JR-5697-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-04-06T18:15:08.373Z,False,0,20,182,https://talenthub.vectorinstitute.ai/jobs/310721862-data-engineer-finance-data-at-omers,,expired,2024-03-07T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3a411a3a-28cc-4072-938d-ca5d68c1cfb1,310721860,CN,Expert Application Data Architect,on_site,"Ontario, Canada",2024-03-07T06:45:02.941Z,"
                                -

                                -
                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                -

                                -
                                Job Summary
                                -

                                -
                                -CN Customer Solutions Group is seeking a Senior Data Architect to drive strategic innovation and modernization initiatives and architecture practices. As a data and technology architect, you will lead the architecture of cloud native APIs, Data-Hubs, Data-Lake Information models and cloud infrastructures to drive the creation industry leading products. As an expert product builder, you will define practical architectures that ensure the performance, scalability, and maintainability of complex distributed systems. You will also contribute to the definition of strategic data and technology directions and define continuous improvement objectives in collaboration with Innovation leadership team. -
                                -

                                -
                                Main Responsibilities
                                -
                                -

                                Responsibility 1

                                • -Lead the delivery of modernization initiatives and create great products by focusing on the needs of our customers and business value delivery. -
                                • -Lead modern data architecture best practices including Domain Driven Design and Analytical data models. -
                                • -Create systems architectures and modernization strategies; moving to cloud native applications, APIs, MicroServices, Data Lake, BI and AI with target and transitions architectures and Roadmaps over multiple years. -
                                • -Design and optimize application and integration strategies for the cost-effective delivery of scalable and reliable distributed systems. -

                                Responsibility 2

                                • -Evaluate current and emerging Data, Analytics and AI technologies -

                                · Be a leader in the architecture and engineering group, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality.

                                • -Define architecture and engineering standards, patterns & best practices. -
                                • -Influence leadership with effective communication of proposals, directions and strategic decision making. -

                                Requirements

                                · Experience

                                • -12+ years of experience with data engineering and architecture for API, applications, analytics BI and AI. -
                                • -5+ years of experience as an Architect with application, technology architecture covering Applications, APIs, MicroServices, Integration, BI, Analytics and AI. -
                                • -3+ years of experience as Senior Architect using cloud native data architecture and technologies. -

                                · Education/Certification/Designation

                                • Bachelor’s degree in technology related field or equivalent experience

                                Competencies

                                • -Leadership -
                                • -Communication -
                                • -Time management -
                                • -Business Acumen -

                                Technical Skills/Knowledge

                                • -Strong Experience engineering, architecting, and delivering enterprise grade products -
                                • -Strong Experience with Information and Data Architecture patterns -
                                • -Strong Experience managing BI Frameworks, design principles, and standards -
                                • -Good understanding of Data Governance and Data Lineage and technologies. -
                                • -Experience implementing Big Data, Pipelines and Data Warehouse Architectures -
                                • -Like Hadoop, ADLS, Spark, DeltaLake -
                                • -Tools like Sqoop, Flume, Kafka, Oozie, Solr, Avro -
                                • -Relevant current and legacy patterns Star Schema, Snowflake Schema, Fact and Dimensional Tables, Physical and Logical Data Modeling -
                                • -Database Architectures - SQL, NoSQL, Document, Graph, Search, In-memoryDB -
                                • -Experience with data architecture for Cloud Native Application and APIs -
                                • -Web & Mobile Application Architecture -
                                • -Micro Service Architecture, Domain Driven Design, Event Sourcing, CQRS -
                                • -API Architecture – knowledge of Schema Modeling is a plus -
                                • -Process Driven Architecture – BPMS/Workflow/RulesEngines/SAGA -
                                • -Experience with Event Driven Architecture - Pub-Sub, Kafka, MQ, MQTT -
                                • -Experience with SOA architecture, patterns and implementation -
                                • -Experience with Integration of Transactions, Data, Streaming, Batch, Files, APIs -
                                • -Cloud Data Services Architecture knowledge is an asset -
                                • -Experience architecting/operating solutions build on Azure, GCP, others -
                                • -DevOps knowledge is an asset -
                                • Experience working with DevOps, CI/CD/CT – Azure DevOps, GitHub, GitLab
                                • Experience with Test Automation, TDD, BDD, ATDD
                                • Experience with AI/ML technologies is an asset
                                • -Experience in program & project scoping and planning with Agile process and tools -
                                • -Experience in delivering agile and iterative architectures -
                                • -Experience with Legacy Systems Modernization (Mainframe, SAP, Java) is a plus -
                                -
                                -

                                -
                                About CN
                                -

                                -
                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                -

                                -
                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                -

                                -

                                -

                                -

                                At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.

                                -

                                As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/12411?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-04-06T18:14:19.707Z,False,0,2,95,https://talenthub.vectorinstitute.ai/jobs/310721860-expert-application-data-architect-at-cn,,expired,2024-03-07T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -cd59f5ae-5a3b-4f0e-ab6a-846e23901b91,312135964,BMO Financial Group,Senior Manager - Credit Risk Stress Testing,on_site,"Ontario, Canada",2024-03-14T06:25:02.673Z,"
                                -

                                Application Deadline:

                                03/29/2024

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                Our ideal candidate has experience with building and managing brand new teams with new mandates and solid people management skills. You will be involved with monthly stress tests at the enterprise level and where applicable with Enterprise-Wide Stress Testing & OSFI mandated Macroeconomic Stress Testing. You will have the opportunity to present to various levels of stakeholders including Executives. Coding skills (PySpark, Python, SAS, SQL, R) and data visualization (Power BI) skills are essential. This role will have significant exposure to different areas of the bank and interacting with broad stakeholders. Good visibility over the whole enterprise.

                                -

                                This individual will also identify opportunities for ongoing developments and enhancements in the Enterprise’s capital planning process as it relates to Wholesale and Retail Credit Risk. The successful candidate will be required to apply exceptional analytical, independent thinking, problem solving, time management, and communication skills on a daily basis.

                                -

                                -

                                -

                                Key Accountabilities

                                -

                                Stress Testing and Scenario Analysis

                                -
                                  -
                                • Perform Enterprise wholesale and retail credit risk stress testing exercises and ad-hoc analyses.
                                • -
                                • Analyse stress test scenarios, and generate and analyse wholesale and retail credit stress test results (forecast loan losses, risk weighted assets, ECL,etc.).
                                • -
                                • Analyze, develop conclusions and prepare recommendations to present to management.
                                • -
                                • Stay up-to-date on ongoing regulatory changes and expectations that materialize and the impact of these changes on the Enterprise’s stress testing process.
                                • -
                                • Produce and validate stress testing reports and presentations.
                                • -
                                • Manage, coach and train team members and reports
                                • -
                                -

                                Change Management

                                -
                                  -
                                • Building capability to run scalable, frequent credit stress tests
                                • -
                                • Participate in discussions to identify opportunities that would continuously improve the stress testing practices of the Enterprise.
                                • -
                                • Proactively suggest improvements to reports and processes used by the Wholesale and Retail Credit stress testing team.
                                • -
                                -
                                  -
                                • Lead quality in all aspects of stress testing across the stress testing team and provide assistance to other team members when needed.
                                • -
                                • Recommend changes to current processes and practices based on changing internal and external requirements.
                                • -
                                -

                                Relationship Management

                                -
                                  -
                                • Establish and maintain strong relationships with business colleagues in the lines of business, risk groups, peers and, relevant finance and accounting groups.
                                • -
                                • Foster an environment of knowledge sharing within credit stress testing group and risk and capital reporting.
                                • -
                                • Participate in assigned projects, providing expert input, portfolio information and value added support for initiatives.
                                • -
                                -

                                -

                                -

                                Qualifications:

                                -
                                  -
                                • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • In-depth / expert knowledge and understanding of stress testing and scenario analysis methodologies and frameworks.
                                • -
                                • Critical and strategic thinking
                                • -
                                • Strong attention to detail to achieve superior quality of deliverables
                                • -
                                • Enhanced reporting via visualization tools (Power BI)
                                • -
                                • Strong technical skills (data manipulation, programming, Python, SAS, SQL, Pyspark, R)
                                • -
                                • Strong interpersonal, presentation and communication skills
                                • -
                                • Proficiency in statistical/numerical software.
                                • -
                                • In-depth / expert knowledge of quantitative risk modeling, calculation of Regulatory and Economic Capital.
                                • -
                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                • -
                                • Verbal & written communication skills - In-depth / Expert.
                                • -
                                • Analytical and problem solving skills - In-depth / Expert.
                                • -
                                • Influence skills - In-depth / Expert.
                                • -
                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                • -
                                • Able to manage ambiguity.
                                • -
                                • Data driven decision making - In-depth / Expert.
                                • -
                                -

                                -
                                -

                                -

                                Compensation and Benefits:

                                -
                                $100,800.00 - $187,200.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager---Credit-Risk-Stress-Testing_R230022068?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-04-01T06:30:01.487Z,False,0,1,36,https://talenthub.vectorinstitute.ai/jobs/312135964-senior-manager-credit-risk-stress-testing-at-bmo-financial-group,,expired,2024-03-14T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -63ca5e09-4b9c-490a-9b65-d4207d2a0ea4,308043985,Deloitte,"Manager, AML Analytics - Financial Engineering and Modeling",on_site,"Toronto, ON, Canada",2024-02-22T16:08:40.344Z,"

                                Date: Feb 3, 2024

                                -

                                Location: Toronto, Ontario, Canada

                                -

                                Company: Deloitte

                                -

                                Job Type: Permanent
                                Reference code: 124911
                                Primary Location: Toronto, ON
                                All Available Locations: Toronto, ON

                                -

                                -

                                Our Purpose

                                -

                                -

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                -

                                By living our Purpose, we will make an impact that matters.

                                -
                                  -
                                • Learn from deep subject matter experts through mentoring and on the job coaching
                                • -
                                • Be encouraged to deepen your technical skills…whatever those may be.
                                • -
                                • Have many careers in one Firm.
                                • -
                                -

                                --

                                -

                                Would you like to further develop your career with our exponentially expanding Financial Advisory Service, Modelling and Value Advisory group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

                                -

                                What will your typical day look like?

                                -

                                -

                                In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

                                You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

                                -

                                About the team

                                -

                                -

                                Deloitte’s Financial Advisory practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                -

                                -

                                Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Financial Advisory at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte

                                -

                                Enough about us, let’s talk about you

                                -

                                -

                                Ideally, you are someone with:

                                -
                                  -
                                • 4+ years of relevant experience
                                • -
                                • Hands-on experience utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
                                • -
                                • Hands-on experience developing and maintaining AML models to identify unusual patterns or trends in transaction data.
                                • -
                                • Hands-on experience validating AML models following industry best practice and regulatory guidelines.
                                • -
                                • Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
                                • -
                                • Post-graduate degree in Finance, Economics, Statistics, Computer Science, or related field. Certified Anti-Money Laundering Specialist (CAMS) designation or other related certifications are a plus.
                                • -
                                • Strong programming skills in Python, R, SQL, SAS, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
                                • -
                                • Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines; Strong communication skills are critical
                                • -
                                • Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is a plus
                                • -
                                • Canadian travel required and occasional international travel. Candidates must be able to enter the USA to work on client assignment
                                • -
                                -

                                Total Rewards

                                -


                                The salary range for this position is $95,000 - $159,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                -

                                -

                                Our promise to our people: Deloitte is where potential comes to life.

                                -

                                -

                                Be yourself, and more.

                                -

                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                -

                                You shape how we make impact.

                                -

                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                -

                                Be the leader you want to be

                                -

                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                -

                                Have as many careers as you want.

                                -

                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                The next step is yours

                                -

                                -

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                -

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                -

                                -

                                Apply now

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Manager%2C-AML-Analytics-Financial-Engineering-and-Modeling-ON/1096172500/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-03-23T16:08:42.763Z,False,0,7,149,https://talenthub.vectorinstitute.ai/jobs/308043985-manager-aml-analytics-financial-engineering-and-modeling-at-deloitte,,expired,2024-02-22T16:08:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, -ef633681-3bc6-4110-a40f-de93510f8b7b,308042981,EY,Senior Manager - Data Strategy & Governance,hybrid,"Calgary, AB, Canada",2024-02-22T15:46:50.712Z,"

                                Job description

                                -

                                Requisition ID: 983844

                                -

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                -

                                The opportunity

                                We are looking for a Senior Manager, Data Strategy and Governance who will be joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients’ businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else. We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc.- to lead and implement leading-edge data management and strategy projects.

                                -


                                Your key responsibilities

                                -
                                  -
                                • Help our clients with developing futuristic data and analytics strategy for transforming their business
                                • -
                                • Help our clients establish Data Management and Governance programs and drive data ownership and stewardship into the client businesses
                                • -
                                • Perform Data Management and Governance reviews, Data Maturity assessments, Operating Model and Data Literacy assessments
                                • -
                                • Assist with implementation of the Data Management and Governance programs within the client organization
                                • -
                                • Assist with the setting up of Data and Analytics organizations along with the Operating Model
                                • -
                                • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                • -
                                • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                • -
                                • Develop, lead, and implement plans that will roll out the Data Management and Governance programs within the client organization
                                • -
                                • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                • -
                                • Perform gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                • -
                                • Lead multi-functional teams that could consist of both EY and client staff to scope, shape and deliver projects
                                • -
                                • Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                • -
                                • Develop our people through coaching, talent development, recruitment, and formal performance management
                                • -
                                • Work with the Data & Analytics (D&A) team to develop thought leadership in the Data Management space through collaborating with EY’s internal resources, participating in industry events, etc.
                                • -
                                -

                                -

                                Skills and attributes for success

                                -
                                  -
                                • Be self-motivated and passionate about data strategy, management and governance
                                • -
                                • Ability to meet deadlines and manage project delivery
                                • -
                                • Superior communication and interpersonal skills
                                • -
                                -

                                -

                                To qualify for the role, you must have

                                -
                                  -
                                • 5+ years of experience developing data and analytics strategy across industries such as Energy, Public Sector
                                • -
                                • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                • -
                                • Experience within data management and governance. Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                • -
                                • Experience working within Financial Services /Retail/Oil and Gas in a data management related role, with at least 5+ years of experience managing a team
                                • -
                                • Strong leadership experience within data management and governance. For example, you may have previously held a position as a business owner for Data management and governance at a large organization or supported the development and implementation of best practice, worked within a Chief Data Office or provided consulting services for a Chief Data Office; Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                • -
                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                • -
                                • Experience working with senior stakeholders
                                • -
                                • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                • -
                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                • -
                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                • -
                                • Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
                                • -
                                • Experience of Agile and traditional SDLC delivery methodologies
                                • -
                                • Strong analytical and problem-solving skills
                                • -
                                -

                                -

                                Ideally, you’ll also have

                                -
                                  -
                                • Prior consulting experience
                                • -
                                • Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support
                                • -
                                • Project management and process development expertise in client serving roles
                                • -
                                • Strong organizational and time-management skills
                                • -
                                • Ability to lead teams and take accountability for delivery
                                • -
                                -


                                What we look for

                                We’re interested in natural leaders with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you have a genuine passion for helping businesses achieve their full potential, this role is for you.

                                -

                                What we offer

                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                -

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                -
                                  -
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • -
                                • Learning opportunities to develop new skills and progress your career
                                • -
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • -
                                -

                                -

                                Diversity and Inclusion at EY

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                -

                                -

                                EY Way of Work and your health and safety

                                EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                -


                                If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                -

                                The exceptional EY experience. It’s yours to build.

                                -


                                EY | Building a better working world

                                -

                                -

                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                -

                                -

                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                -

                                -

                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Calgary-Senior-Manager-Data-Strategy-&-Governance-AB-T2P-1M4/811171401/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-03-23T15:46:52.987Z,False,0,1,212,https://talenthub.vectorinstitute.ai/jobs/308042981-senior-manager-data-strategy-governance-at-ey,,expired,2024-02-22T15:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, -2866884f-2750-4b6f-99ca-97a1adb27df5,316217236,CIBC,"Consultant, Business Analytics",on_site,"Ontario, Canada",2024-04-04T06:24:02.526Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                -

                                What You\'ll Be Doing

                                -

                                As a member of Retail Payment Service Business Intelligence & Analytics department you will provide back office support for our Cards, Cheque, and Currency partners. As a Business Consultant, you will be supporting the development of reporting and analytical solutions for Retail Payment Services. You will be working closely with leaders, internal stakeholders and partners to foster relationships, identify key metrics and build reporting and dashboarding solutions. In the spirit of continuous improvement, you will proactively use your data analytics skillset to identify trends and root cause, providing recommendations to implement solutions. You’re passionate about data and automation, thrive in collaborative and fast-paced environments, and continuously explore ways to Run, Protect and Transform how we work.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                -

                                -

                                How You’ll Succeed

                                -
                                  -
                                • Instrumentation Development – Support metrics and dashboard development, building self-serve automation and BI capabilities using tools such as Excel VBA, Alteryx, PowerBI etc.

                                • -
                                • Analyzing Business Requirements - Research and analyze specialized information and recommend solutions to issues and problems that arise during the ongoing operation of business.

                                • -
                                • Analytics development – Support analytics initiatives with key stakeholders and business specialists within Retail Payment Services

                                • -
                                • Provide leadership - You will lead or support diverse projects and initiatives by creating a positive work environment, being an effective role model and mentor by championing CIBC\'s mission, vision, and values. You\'ll lead or support by sharing knowledge and collaborating to come up with effective solutions to problems to ensure effective and timely delivery.

                                • -
                                • Relationship/Stakeholder Management - Develop and maintain productive relationships with peers, operations, technology and business partners to resolve problems/inquiries.

                                • -
                                • Business Support – Support business partners generating regular business reporting

                                • -
                                -

                                -

                                Who You Are

                                -
                                  -
                                • You can demonstrate experience. You have experience with data analytics and a strong technical knowledge with reporting tools (PowerBi, Excel, Alteryx etc.)

                                • -
                                • Excellent strategic thinking and analytical skills, with the know-how to interpret data and generate innovative and unconventional solutions

                                • -
                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                • -
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • -
                                • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard. You have knowledge of approaches, tools, and techniques for gaining the cooperation and support of others.

                                • -
                                • You embrace and champion change. You’ll continuously evolve your thinking and the way you work to deliver your best. Using knowledge, experience, relationships and collaboration determine if services, processes or procedures may be modified to suit the business or technology needs without having to reinvent or develop a “net new” solution.

                                • -
                                • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.

                                • -
                                -

                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                *Subject to plan and program terms and conditions

                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Mississauga-155 Britannia Rd E

                                -

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                -

                                Skills

                                Alteryx, Consulting, Dashboard Development, Data Analysis, Data Modeling, Microsoft Power BI
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Mississauga-ON/Consultant--Business-Analytics_2406927-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-08T06:30:03.726Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/316217236-consultant-business-analytics-at-cibc,,expired,2024-04-04T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -fd187ee7-3b6c-4607-b30c-fdeb148fcebe,316217237,CIBC,"Consultant, Fraud Analytics",on_site,"Ontario, Canada",2024-04-04T06:24:02.626Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                -

                                What You will Be Doing

                                -

                                -

                                As a Consultant, Fraud Analytics, you will work independently design and perform statistical analysis using advanced analytical techniques and data mining tools to deliver fraud monitoring, detection and prevention solutions by using SAS, SQL and/or Python. Predictive modeling which include complex statistical concepts/theories and predictions including optimization, logistic regression, decision trees, random forests and neural networks. Ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems. Thereby, Implementing new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, to mitigate fraud losses and decrease customer impacts/irritants Collaborating with internal and external stakeholders to ensure successful deployment of fraud solutions across bank’s ecosystem.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                -

                                -

                                How You will Succeed

                                -
                                  -
                                • -Analytical Thinking – Improve fraud monitoring by creatively respond to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis to clearly depict fraud mitigation rule options and recommended courses of action. Develop and maintain statistical models, including machine learning algorithms, to monitor fraud patterns.
                                • -
                                • -Data Management – Creation and maintenance of SAS and SQL programs to access a decision support data repository. Database management/querying, and computer programming/software expertise.
                                • -
                                • -Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.
                                • -
                                -

                                -

                                Who You Are

                                -
                                  -
                                • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You are confident in your ability to communicate detailed information in an impactful way.
                                • -
                                • -You can demonstrate experience in using SQL, SAS EG, SAS Miner, Alteryx, Tableau and/or Python for data analysis and visualization. You demonstrate an advanced understanding of ETL processes and model design (including ML/AI) and maintenance. -
                                • -
                                • -You have a degree/diploma in an Analytics/Statistics Based discipline. Master’s level degree would be an asset.
                                • -
                                • -You love to learn. You are passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
                                • -
                                • -You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what is possible. You are curious and proactive; you constantly offer innovative solutions based on sound analysis.
                                • -
                                • -Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability. -
                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                *Subject to plan and program terms and conditions

                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Toronto-CC East 12th Floor

                                -

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                -

                                Skills

                                Analytical Thinking, Fraud Analysis, Fraud Investigations, Fraud Management, Group Problem Solving, Process Improvements, Reporting and Analysis
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Fraud-Analytics_2405638?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-08T06:30:03.726Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/316217237-consultant-fraud-analytics-at-cibc,,expired,2024-04-04T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, 99cd55f3-2d5b-4337-bf84-90f9d9164d63,314969597,Cohere AI,"Senior Member of Technical Staff, MLE",on_site,"Toronto, ON, Canada",2024-03-28T16:34:03.225Z,"
                                Who are we?
                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                @@ -122863,619 +124194,365 @@ df3e81ef-bc71-4931-a437-c8dd9dff9098,327414198,Scotiabank,"Manager, Business Int

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--AML-Reporting---Automation-Solutions_R240017339-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-01T07:42:29.474Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/332511124-manager-aml-reporting-automation-solutions-at-bmo-financial-group,,expired,2024-07-04T07:21:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c47e5c1b-b86e-466d-8a95-eacc5313eea5,341822136,Accenture,Bilingual Data Consultant,on_site,"Toronto, ON, Canada",2024-09-12T16:29:02.757Z,"
                                -

                                Job Description

                                -
                                -

                                We Are:
                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds.

                                -


                                You Are:
                                A hands-on Solution Architect who knows how to develop, design, and maintain technologies that work for our clients. You are a next-generation thinker when it comes to what we call Data in the New. Your superpower Using the latest data and analytics technologies to help clients glean the most value from their data. And you know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. You’re a digital native who’s right at home when the challenge calls for teamwork and originality.

                                -

                                -

                                What You’ll Do:

                                -
                                  -
                                • Understand our customers\' core business objectives and build end-to-end data centric solutions to address them
                                • -
                                • Collaborate with technical business analyst, to understand business requirements, data, and optimize data pipeline performance
                                • -
                                • Build solutions in big data and data management tools meeting projects’ requirements
                                • -
                                • Construct code with good coding standard and practices to ensure high quality and minimum risks
                                • -
                                • Closely work with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution
                                • -
                                -

                                show more show less
                                -
                                -
                                -

                                Qualifications

                                -
                                -
                                -

                                What You Need:

                                -
                                • Minimum 5 years of experience with big data technologies, or data transformation, and data modelling
                                • Experience in architecting and building scalable data platforms.
                                • Experience with Informatica or other related data Integration tools
                                • Experience with Cloud Technologies (Data Lake, Databricks, Azure, Google, AWS etc.) or experience with open source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)
                                • Experience with SQL and/or NOSQL databases
                                • Must be fully fluent in French and English
                                • -
                                -

                                -

                                English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

                                -

                                -

                                Bonus Points:

                                -
                                • Production implementation experience for all qualifications listed
                                • Production experience in building real-time analytics applications
                                • Experience in both batch and stream processing technologies
                                • Experience with 2 of 3 - Java, Scala, and Python programming languages
                                • Machine learning experience with Spark or similar
                                • Certified Data or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
                                • Ability to manage numerous requests concurrently and be able to prioritize and deliver
                                • Good communication skills
                                • Dynamic team player
                                • Bachelor’s or Master’s Degree
                                • -
                                -



                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                -

                                Information on benefits is here.

                                -

                                Role Location Annual Salary Range

                                -

                                British Columbia $60,600 to $158,900

                                -

                                -

                                #LI-NA

                                -
                                -
                                -
                                -

                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                -
                                -

                                Our Commitment to Inclusion & Diversity

                                -

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                -

                                Other Employment Statements

                                -

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                -

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                -
                                -
                                Share
                                -
                                Share
                                -
                                Job Link:
                                Copy
                                -
                                -
                                -
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00231903_en&title=Bilingual%20Data%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-07T21:00:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/341822136-bilingual-data-consultant-at-accenture,,expired,2024-09-12T16:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -05134d7b-5589-49ad-90be-8ce71062482c,340695983,BELL CANADA,2025 Internship Program- Engineering,on_site,"Barrie, Ontario, Canada",2024-09-04T21:25:06.650Z,"

                                ​Req Id: 420078

                                -


                                At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

                                -

                                -

                                We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

                                -


                                Join us. You belong at Bell.

                                -

                                -

                                Launch your career at Bell and join the best-in-class Internship and Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills through Bell U, our exclusive learning platform and join other grads and interns attending exclusive events and networking opportunities.

                                -

                                -

                                At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

                                -

                                -
                                -
                                -
                                -

                                -
                                -

                                This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

                                -
                                -
                                -
                                -

                                Why join us?

                                -
                                -
                                -
                                  -
                                • Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
                                • -
                                • Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
                                • -
                                • Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
                                • -
                                • Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
                                • -
                                • Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
                                • -
                                • Develop your technical and leadership skills through formal and experiential training programs.
                                • -
                                • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.
                                • -
                                -

                                -

                                What you’ll do

                                -

                                -

                                Join the Engineering team where you’ll be making an impact on some of our most critical assets. You’ll have the opportunity to be hands-on in Bell’s tech transformation, supporting project management and agile methodologies in a construction environment. Engineering also includes important work in network architecture focused on radio communications, network architectures, data analytics, and cloud technologies or design and wireless systems.

                                -

                                -

                                What we’re looking for

                                -

                                -

                                Within our Engineering function, we have several opportunities available. For more details on each of the below roles, click here.

                                -

                                -
                                  -
                                • Access Network Engineering
                                • -
                                • Network Architecture and Engineering
                                • -
                                • Construction Project Management
                                • -
                                • Technology Specialist (Network)
                                • -
                                -
                                -
                                -
                                -
                                -

                                Requirements

                                -
                                -
                                  -
                                • You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in engineering, engineering science/physics, or related fields (if you believe you are up for the challenge with a different degree/diploma, you are welcome to apply).
                                • -
                                • -You have a desire to expand your knowledge in any of the following fields:
                                    -
                                  • Project management and Agile methodologies in a construction environment
                                  • -
                                  • Network architecture and design (hardware and software), routing protocols and principles
                                  • -
                                  • Broadcast, data centre and/or cloud technologies
                                  • -
                                  • Radio communications and/or wireless systems
                                  • -
                                  • Project management and Agile methodologies
                                  • -
                                  -
                                • -
                                -
                                -
                                -
                                -

                                Leadership skills

                                -
                                -
                                  -
                                • -You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers. -
                                • -
                                • -You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together. -
                                • -
                                • -You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue. -
                                • -
                                • You gain the trust of your teams, being known for demonstrating fairness and respect.
                                • -
                                • -You promote belonging and are flexible, accountable and collaborative. -
                                • -
                                • -You are committed to growing your skills and learning from others. -
                                • -
                                -
                                -
                                -
                                -

                                Applying is simple

                                -
                                -
                                -

                                Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

                                -

                                -
                                  -
                                1. Review our programs and indicate up to three role choices in your application.
                                2. -
                                3. Complete your video interview within 48 hours.
                                4. -
                                5. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
                                6. -
                                7. If selected from previous step, you will be invited to a virtual panel interview.
                                8. -
                                -

                                -

                                Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

                                -

                                -

                                Offers will be made to qualified interns ongoing from September to December 2024 or until all positions are filled.

                                -
                                -
                                -
                                -

                                #EmployeeReferralProgram

                                -

                                -

                                Adequate knowledge of French is required for positions in Quebec.

                                -

                                -

                                Additional Information:
                                Position Type: Management
                                Job Status: Intern
                                Job Location: Canada : Ontario : London || Canada : New Brunswick : Moncton || Canada : Newfoundland : St. John's || Canada : Nova Scotia : Halifax || Canada : Ontario : Barrie || Canada : Ontario : Belleville || Canada : Ontario : Huntsville || Canada : Ontario : Kingston || Canada : Ontario : Markham || Canada : Ontario : Mississauga || Canada : Ontario : Nepean || Canada : Ontario : Ottawa || Canada : Ontario : Peterborough || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto || Canada : Prince Edward Island : Charlottetown || Canada : Quebec : Montreal || Canada : Quebec : Sherbrooke
                                Work Arrangement: Hybrid
                                Application Deadline: 11/03/2025

                                -

                                -

                                For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                                -

                                -

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                -

                                -

                                We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

                                -

                                -

                                We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                                -

                                -

                                We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                                -

                                Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                                +277c012b-5894-4972-a1e6-ced6c000e87f,335311793,RBC,Senior Machine Learning & Data Engineer,on_site,"Toronto, ON, Canada",2024-07-25T07:41:02.114Z,"
                                +

                                Job Summary

                                +

                                +

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

                                -

                                #CampusEng24

                                +

                                Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

                                -

                                Created: Canada, ON, Mississauga

                                -

                                -

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA420078EXTERNALENCA/2025-Internship-Program-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-07T01:28:48.851Z,False,0,6,64,https://talenthub.vectorinstitute.ai/jobs/340695983-2025-internship-program-engineering-at-bell-canada,BECACA420078EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, -904ad451-75d5-451c-b7cb-f99a3162a014,343662286,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-09-26T08:50:02.029Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                -

                                -

                                Job Description:

                                -

                                Do you have passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                -

                                -

                                The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                -

                                -

                                As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                -

                                -

                                You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                -

                                To achieve this, we will be leveraging many systems across Sunlife, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                -

                                -

                                What will you do?

                                +

                                Our team is focused on the design, development and deployment of capabilities that enable the end-to-end delivery of the Enterprise ESG framework. Senior Machine Learning and Data Engineer is responsible for developing application for large-scale data processing and analysis. You will work with all stakeholders to design best in class technology solutions. We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.

                                +

                                +

                                What will you do?

                                  -
                                • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                • -
                                • Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
                                • -
                                • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                • -
                                • Ongoing support to uncover opportunities that will drive incremental sales.
                                • -
                                • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                • -
                                • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                • -
                                • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. -
                                • -
                                • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                • +
                                • Productionalize, optimize ML based or any other advanced analytics models and algorithms tailored to address precise business challenges.
                                • +
                                • Implement reusable pipelines and MLOps solutions, to optimize machine learning models and other quantitative algorithms life cycle management.
                                • +
                                • Drive adoption and maturity of MLOps, with focus on adopting model performance monitoring, conduct A/B testing with renewed change management, and iteratively improve model accuracy and overall solution efficiency.
                                • +
                                • E2E technical competency including conducting data analysis, data preprocessing, and feature engineering to prepare datasets for model training.
                                • +
                                • Work alongside data scientists, quantitative analysts, software engineers, data engineers, and domain experts to collect requirements and establish project goals.
                                • +
                                • Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.

                                What do you need to succeed?

                                +

                                Must Have

                                  +
                                • A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor\'s or Master\'s level.
                                • +
                                • 4+ ML related experience (platform, modeling, ML engineering); 1+ years of focused experience in MLOps projects. Experience with data manipulation, preprocessing, and feature engineering techniques.
                                • +
                                • High-level expertise in programming languages such as Python, highly proficient in both data and ML frameworks, such as Spark, Pandas, scikit-learn, PyTorch, TensorFlow, Ray, etc.
                                • +
                                • A comprehensive grasp of ml methodologies and principles, such as supervised and unsupervised learning, deep learning, and NLP/GenAI
                                • -5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                • -
                                • -5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                • -
                                • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                • -
                                • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                • -
                                • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                • -
                                • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                • -
                                • Comfortable learning new applications and processes quickly with minimal direction
                                • -
                                • Ability to document work.
                                • -
                                -

                                -

                                What will be nice to have?

                                -
                                  -
                                • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                • -
                                • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                • -
                                • Experience in Salesforce
                                • -
                                • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                • -
                                • Additional statistical programming languages (i.e SAS/R)
                                • -
                                • Advanced user of MS Excel and MS Access
                                • +Excellent problem-solving skills and analytical thinking. Strong communication and collaboration skills. Champion best practices and in constant pursuit of engineering excellence, automation, and best in class user experience + +
                                • Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.

                                -

                                Unique Requirement?

                                +

                                Nice to Have

                                  -
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                • -
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                • +
                                • Additional languages such as Java, Scala
                                • +
                                • Experience with building ML solutions in public cloud in a large enterprise environment
                                • +
                                • Prior exposure in the Financial Industry, especially supporting top-of-the-house risk analytic functions (such as Market Risk, Credit Risk or Liquidity Risk), in the design and development of the regulatory frameworks.

                                -

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                  -
                                • We’re proud to be a Best Workplace for Hybrid Work by Great Place to Work® Canada
                                • -
                                • Recognized in 2023 with the Most Trusted Executive team by Great Place to Work® Canada.
                                • -
                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
                                • -
                                • Flexible Benefits from the day you join to meet the needs of you and your family.
                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security.
                                • -
                                • Flexible hybrid work model including work-from-home if you prefer.
                                • -
                                • Care Days are available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.
                                • -
                                • Our unique Sabbatical Program gives you the opportunity to take up to 6 weeks off, every five years.
                                • -
                                • An environment of continuous learning and improvement with a friendly, collaborative and inclusive culture.
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                • +
                                • Leaders who support your development through coaching and managing opportunities
                                • +
                                • Ability to make a difference and lasting impact
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • +
                                • A world-class training program in financial services
                                • +
                                • Flexible work/life balance options
                                • +
                                • +Opportunities to do challenging work, to take on progressively greater accountabilities, to building close relationships with clients. Access to a variety of job opportunities across business and geographies. +

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                Salary Range:

                                76,000/76 000 - 125,000/125 000

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                06/10/2024
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00096069?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-10-07T08:55:02.314Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/343662286-senior-data-analyst-at-sun-life-financial,,expired,2024-09-26T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -4fd7f7b9-4a54-4d2c-9904-c333fae4ccc5,344787350,Sun Life Financial,Data Analyst - (AWS /Python),on_site,"Ontario, Canada",2024-10-03T08:50:02.582Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                +

                                #LI-Post

                                +

                                #LI-Hybrid

                                +

                                #LI-PK

                                +

                                #TECHPJ

                                +

                                +

                                +

                                Job Skills

                                Application Development, Application Integrations, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Programming Languages, Software Development Life Cycle (SDLC), System Applications

                                +

                                +

                                +

                                Additional Job Details

                                +

                                Address:

                                RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                City:

                                TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                TECHNOLOGY AND OPERATIONS

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2024-07-19

                                Application Deadline:

                                2024-08-02

                                +

                                +

                                +

                                +

                                +
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                +

                                +

                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000093970/Senior-Machine-Learning-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-08-01T07:54:02.734Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/335311793-senior-machine-learning-data-engineer-at-rbc,,expired,2024-07-25T07:41:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +5fd00536-55cc-45b9-92e6-d3616a0c6092,334967162,Thomson Reuters,"Vice President, Data and Analytics, Reuters",on_site,"Ontario, Canada",2024-07-22T07:42:01.742Z,"
                                JOB DESCRIPTION
                                +
                                +

                                Vice President, Data and Analytics, Reuters

                                -

                                Job Description:

                                +

                                Reporting to the Head of Operations & Strategy, the Vice President, Data and Analytics is responsible for leading the creation and operation of a centralized analytics function that delivers insights to power decision-making and strategic planning across the organization. This leader will take overall ownership of Reuters data assets, enterprise data science capabilities and data governance, managing a global team of 30 data professionals to drive innovation in news delivery, audience engagement, and content optimization.

                                -

                                Reporting to the Manager, Compliance Analytics, the Data Analyst, Compliance Analytics is responsible for supporting Enterprise Compliance with a variety of analytics initiatives. These responsibilities include reviewing large quantities of data for a variety of compliance functions, developing enhanced reporting, automation of various processes and performing various investigative and analytical functions.

                                +

                                This role requires a transformative data executive who can balance strategic vision with technical expertise, driving innovation and change in news media while delivering tangible improvements in content quality, audience engagement, and revenue through data-driven insights and analytics.

                                -

                                This is a fixed term role for 9 months.

                                +

                                About the Role

                                +

                                In this opportunity as Vice President, Data and Analytics, Reuters you will be responsible for:

                                -

                                What will you do?

                                +

                                Strategy and Leadership

                                  -
                                • Work with compliance officers to develop compliance metrics and dashboards to support effective oversight of business operations’ compliance with regulatory requirements and improved risk management.

                                • -
                                • Undertake special projects the relate to Compliance, Analytics and Technology using the tech platforms.

                                • -
                                • Design, develop and implement business ad-hoc requests and analytical solutions using Python, Excel, SQL and Tableau.

                                • -
                                • Build statistical models and conducts EDA in Python, Tableau, Excel and/or other tools to support business needs.

                                • -
                                • Build and implement Glue ETL jobs, QuickSight dashboards, EDA on Jupyter Notebook, SageMaker from dev to the prod environment using PySpark, SQL through CI/CD pipelines.

                                • -
                                • Produces specialized reports and data extracts for assigned business areas while demonstrating solid understanding of business objectives.

                                • -
                                • Produce technical and user documentation to support create tools and dashboards

                                • +
                                • Define, develop, and implement a holistic data strategy encompassing editorial, sales, marketing, and product functions.

                                • +
                                • Drive the implementation of enterprise-wide data policies and improved data processes.

                                • +
                                • Lead cross-functional teams and projects using advanced data modelling and analysis techniques to enhance news production, distribution, and monetization.

                                • +
                                • Shift the organizational culture to embrace data as a strategic advantage.

                                -

                                What do you need to succeed?

                                +

                                Data Management and Governance

                                  -
                                • Bachelor degree in Computer Science, Information Technology, or equivalent experience.

                                • -
                                • At least 3 years of relevant experience in data analytics.

                                • -
                                • Experience with ETL processes, data management, Exploratory Data Analysis and process improvement.

                                • -
                                • Experience in working over distributed version control systems like Git, BitBucket.

                                • -
                                • Strong working experience over AWS (services like Glue, Athena, QuickSight).

                                • -
                                • Excellent programming skills with a keen aptitude for learning new programming languages and analytics tools quickly.

                                • -
                                • Experienced in developing data visualization tools such as Tableau and Tableau Prep.

                                • -
                                • Strong research, problem solving and analytical skills.

                                • -
                                • Ability to work independently as well as in a team.

                                • -
                                • Strong, proven experience with MS Excel (VBA and macros), SQL, Tableau, Tableau Prep, Python, AWS.

                                • -
                                • Certification on Tableau and AWS is a plus.

                                • -
                                • Excellent oral, written and interpersonal communication skills.

                                • -
                                • Excellent organizational and time management skills.

                                • +
                                • Manage processes and people responsible for accurate data collection, processing, modelling, analysis, reporting, and governance.

                                • +
                                • Establish and own enterprise data quality standards, data dictionary, and data integrity throughout the data lifecycle.

                                • +
                                • Develop and implement quality controls and standards to meet organizational expectations and regulatory requirements.

                                • +
                                • Ensure Reuters has necessary processes in place for privacy, consent and data compliance across the organization.

                                -

                                Notes/Unique requirements:

                                +

                                Analytics and Insights

                                  -
                                • Successful candidate can be located out of Toronto office

                                • -
                                • Some travel to Waterloo/Toronto will be required

                                • -
                                • Insurance/Financial Services experience preferred.

                                • +
                                • Utilize advanced data modelling, predictive modelling, and analytical techniques to interpret key findings and leverage insights to drive editorial decisions, audience growth, revenue optimization and other business outcomes.

                                • +
                                • Build, develop, and maintain data and ML/AI/GAI models, reporting systems, data automation systems, dashboards, and performance metrics.

                                • +
                                • Oversee the design and delivery of reports and insights that analyse business functions, key operations news consumption patterns, content performance, and revenue streams.

                                -

                                What\'s in it for you?

                                +

                                Technology and Infrastructure

                                  -
                                • Being part of our journey in developing the next greatest digital experience

                                • -
                                • An environment of continuous learning and improvement

                                • -
                                • Being part of an organization that offers the best experience by doing what is right and caring for our clients

                                • +
                                • In collaboration with technology, build and maintain, core Reuters data technology and standards, such as data collection and integration tools, and data products

                                • +
                                • In collaboration with partners, evolve our core data platforms based on Snowflake, Dbt, Python, Manta, and Alation.

                                • +
                                • In collaboration with the Enterprise Data & Analytics and Technology teams, identify needs for new and changes to existing infrastructure/tools.

                                • +
                                • Work with the Enterprise Data & Analytics, and Technology teams to ensure that the Reuters is leveraging our Best in Breed Modern Data Platform.

                                • +
                                • Maintain existing legacy infrastructure/tools while driving the transformation to our core data platform.

                                • +
                                • Manage relationships with key vendors and partners and with Thomson Reuters central procurement, security and standards & governance teams with respect to those vendors and partners.

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                Salary Range:

                                58,000/58 000 - 97,000/97 000

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                06/10/2024
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst----AWS--Python-_JR00101510?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-10-07T08:55:02.314Z,False,0,6,14,https://talenthub.vectorinstitute.ai/jobs/344787350-data-analyst-aws-python-at-sun-life-financial,,expired,2024-10-03T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -b6783414-5302-4c27-abe8-446fd13c3a35,341329463,Google,"Technical Solutions Developer, Data, Google Cloud (Chinese)",on_site,"Toronto, ON, Canada",2024-09-09T06:15:02.302Z,"
                                -
                                -

                                Technical Solutions Developer, Data, Google Cloud (Chinese)

                                -
                                -
                                -
                                -
                                -
                                  -
                                -
                                -
                                -
                                -
                                -

                                Minimum qualifications:

                                +

                                Business Enablement

                                  -
                                • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
                                  -
                                • -
                                • 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers\' needs, and triaging technical issues.
                                  -
                                • -
                                • 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
                                  -
                                • -
                                • Ability to communicate in Chinese fluently to interface with Chinese-speaking customers.
                                  -
                                • +
                                • Partner with editorial, product and business leaders to objectively define and assess performance, drive actionable insights, and enable decision-making through analytics.

                                • +
                                • Accelerate the pace of analytics and AI utilization across Reuters by building a best-in-class data science and analytics organization.

                                • +
                                • Unlock the value of the firm\'s data to improve editorial productivity, audience experience and increase revenue (including advertising and subscription) across all Reuters audiences.

                                -

                                Preferred qualifications:

                                +

                                +

                                Collaboration and Influence

                                  -
                                • Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
                                  -
                                • -
                                • Experience in data analytics, warehousing, Extract, Transform, Load (ETL) development, data science or other Big Data applications.
                                  -
                                • -
                                • Experience with open-source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.
                                  -
                                • -
                                • Knowledge of basic web technologies. Understanding of TCP/IP concepts, Unix/Linux basic administration and commands.
                                  -
                                • -
                                • Excellent troubleshooting, attention to detail, and communication skills in a fast-paced setting.
                                  -
                                • +
                                • Work across Reuters to build capabilities and align delivery.

                                • +
                                • Facilitate the setting of data management standards and monitor remediation and implementation activities.

                                • +
                                • Communicate results and business impacts of insight initiatives to leadership and stakeholders.

                                -
                                -
                                -

                                About the job

                                -

                                In this role, you will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. When customers cannot resolve issues themselves, your job is to ensure that we have the necessary tools and processes to swiftly resolve the issue.

                                -

                                You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will be required to work in a Shift Pattern or non-standard work hours as required. This may include weekend work.

                                -

                                Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                -
                                -
                                -

                                Responsibilities

                                +

                                +

                                Key Deliverables

                                  -
                                • Manage the customer’s problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform (GCP) products.
                                • -
                                • Develop an in-depth understanding of Google\'s product technology and underlying architectures by troubleshooting, reproducing and determining the root cause for customer reported issues, and building tools for faster diagnosis.
                                • -
                                • Consult in the subject matter expert for internal stakeholders in developer, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
                                • -
                                • Work as part of a team of Engineers/Consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours or shifts.
                                • -
                                • Resolve customer issues and advocate for their needs with cross-functional teams, like product and developer, to find ways to improve the product and drive high-quality production.
                                • +
                                • Build and centralize the data and analytics function and resources.

                                • +
                                • Develop short-term and long-term analytics strategies that drive business outcomes.

                                • +
                                • Establish governance and framework for structured/consistent reporting across the organization.

                                • +
                                • Ensure data and analytical models are accurate, performant, reliable, and aligned to TR\'s Data & Model standards.

                                • +
                                • Drive enhanced information security and data protection.

                                • +
                                • Enable the establishment of an Agile, data-driven environment.

                                • +
                                • Build a strong high-functioning data engineering function.

                                -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                -

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                -

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                -

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                -

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                -
                                -
                                ",,https://www.google.com/about/careers/applications/jobs/results/83321657346663110-technical-solutions-developer-data-google-cloud-chinese?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-07T08:39:04.842Z,False,0,7,68,https://talenthub.vectorinstitute.ai/jobs/341329463-technical-solutions-developer-data-google-cloud-chinese-at-google,,expired,2024-09-09T06:15:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -46a594f6-ce6f-4692-b022-a9e37d373040,343277473,OMERS,BI & Data Analyst - Contract,on_site,"Ontario, Canada",2024-09-23T08:58:02.045Z,"
                                -

                                Choose a workplace that empowers your impact.

                                -

                                Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.

                                -

                                We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.

                                +

                                About You

                                +

                                You\'re a fit for the role of Vice President, Data and Analytics, Reuters if your background includes:

                                +
                                  +
                                • Experience in building and leading teams in Data Science and AI/ML, Business Analytics, Reporting and Visualization, and Data Engineering teams.

                                • +
                                • Proven experience and demonstrated success as a data and analytics expert in news media or related digital content industries with a minimum of 5 years of experience in analytics model development and business intelligence, with experience in senior data & analytics leadership positions.

                                • +
                                • Extensive technical background in the development and deployment of advanced analytics for content optimization and audience engagement.

                                • +
                                • Experience setting data strategy and building roadmaps for data systems and AI/ML models.

                                • +
                                • Deep understanding of technology and tools needed to collect, analyse, and visualize data.

                                • +
                                • Strong business, financial, and commercial acumen with a solid grasp of news media revenue models (subscriptions, advertising, licensing).

                                • +
                                • Experience working with large, complex datasets and using world-class advanced analytical tools related to news content, audience behaviour, and digital engagement.

                                • +
                                • Ability to deconstruct complex problems with data analysis.

                                • +
                                • Knowledge of both open source and commercial vendor technical solutions.

                                • +
                                • Demonstrated success in a large, matrixed, global news media organization or digital content company.

                                • +
                                • Strong leadership skills with the ability to attract, motivate, and develop top talent.

                                • +
                                • Excellent communication and influencing skills, with the ability to build relationships across all levels of the organization and to translate data insights for both technical and non-technical stakeholders in a news media setting.

                                • +
                                • Strategic mindset combined with operational approach to drive the organization\'s data journey in a rapidly evolving media landscape.

                                • +
                                • Adaptability and comfort with ambiguity and uncertainty and the need for real-time data insights.

                                • +

                                -

                                Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

                                +

                                #LI-LG1

                                -

                                Don’t just work anywhere — come build tomorrow together with us.

                                -

                                Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

                                -

                                -

                                -

                                We are looking for a highly motivated BI & Data Analyst to join the Financial Systems Team in Toronto. This role will report to the Senior Manager, Financial Systems and be responsible for acting as a business partner to our finance stakeholders, performing data analysis using a wide variety of applications (including Power BI, Power Platform, UiPath and SQL), and driving automation efforts within the Finance team. To succeed in this role, candidates must be able to drive project completion with strong communication and project management, combined with experience in data analytics, big data mining, and data flow & structure. This role will require effective customer service management, with a proven ability to build relationships between the business groups, financial team and IT department, while being able to multitask in a complex environment.

                                +

                                What\'s in it For You?

                                -

                                -

                                As a member of this team, you will:

                                +


                                You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                  -
                                • Collaborate with management teams to prioritize business, analytics and information needs and understand project requirements

                                • -
                                • Work with financial and operational data from primary or secondary data sources from different stakeholder teams and business functions

                                • -
                                • Seek efficiencies in existing processes and execute process improvement initiatives, including exploring and identifying potential new tools and technologies for enhancing reporting automation capabilities

                                • -
                                • Identify, analyze, interpret, and report on trends or patterns in complex data sets

                                • -
                                • Exploring large data sets and drawing meaningful conclusions and insights, including identifying critical metrics and KPIs

                                • -
                                • Filter and “clean” data by reviewing extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, integrity issues and follow data governance policies

                                • -
                                • Assist with the preparation and development of reporting, presentations and various materials for discussion at the executive level

                                • +
                                • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                • +
                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                • +
                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                • +
                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                • +
                                • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                • +
                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                -

                                To succeed in this role, you have:

                                -
                                  -
                                • Undergraduate degree in Accounting, Mathematics, Computer Science or a related field.

                                • -
                                • Have a minimum of 1-2 years of demonstrated experience in a similar role (e.g. Data Analyst or BI Data Analyst).

                                • -
                                • Team oriented individual with strong communication skills, who is comfortable engaging with different groups within the organization (including non-technical audiences).

                                • -
                                • Strong project management and organizational skills and ability to work under pressure and manage high priority projects with multiple or competing deadlines.

                                • -
                                • Willingness to learn new technologies, including RPA, with a strong inclination to improve processes and not settle for ‘status quo’ to generate efficiencies and improve capabilities.

                                • -
                                • Experience with UiPath Studio, Power Platform, Power BI, SQL, and advanced Excel functionality (including Power Query, VBA) to develop automation solutions. Experience with other BI Tools an asset.

                                • -
                                • Technical expertise in data mining and analysis, with an understanding of financial reporting concepts.

                                • -
                                • Demonstrate strong problem-solving skills and innovative approaches for resolution.

                                • -
                                +
                                In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

                                +

                                Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The location(s) for this role include one or more of the following metro locations: Los Angeles, New York City, San Francisco, Washington, DC. The base compensation range for the role in any of those locations is $206,400 - $383,200. The base compensation range in other locations may vary. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

                                -

                                #LI-Hybrid

                                -
                                +


                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                +

                                We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                -

                                Oxford\'s purpose is to strengthen economies and communities through real estate.

                                -

                                Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.

                                +

                                Accessibility

                                -

                                From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/BI---Data-Analyst---Contract_JR-6426?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-03T09:03:04.330Z,False,0,21,70,https://talenthub.vectorinstitute.ai/jobs/343277473-bi-data-analyst-contract-at-omers,,expired,2024-09-23T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -a0fc97da-1ace-4101-8fda-9b487f7f224c,341822109,Canadian Tire Corporation,"Senior Consultant, Predictive Analytics",on_site,"Ontario, Canada",2024-09-12T16:27:01.974Z,"
                                -

                                What you’ll do

                                -

                                The Senior Consultant, Predictive Analytics develops predictive models that can be integrated into key merchandising decisions (assortment selection, pricing strategy, product forecasting and replenishment). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships, build/optimize tools that are used by Forecast Analysts, and design/publish digestible reporting on key business metrics. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

                                +

                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                +

                                +

                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                +

                                +

                                +

                                Protect yourself from fraudulent job postings click here to know more.

                                +

                                +

                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                +
                                ",,https://careers.thomsonreuters.com/us/en/job/JREQ180777/Vice-President-Data-and-Analytics-Reuters?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-08-05T05:57:02.331Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/334967162-vice-president-data-and-analytics-reuters-at-thomson-reuters,,expired,2024-07-22T07:42:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Financial Services,Executive,No Degree,New Posting, +0fe9035f-583d-432c-ba79-d4016ae02fbb,334405080,NVIDIA,Senior Governance Infrastructure Platform Automation Engineer - NGC,on_site,"Ontario, Canada",2024-07-18T06:04:03.513Z,"
                                +Senior Governance Infrastructure Platform Automation Engineer - NGC page is loaded
                                +
                                +

                                Senior Governance Infrastructure Platform Automation Engineer - NGC

                                + +
                                +
                                +
                                +
                                +
                                locationsCanada, Remote
                                +
                                +
                                +
                                time typeFull time
                                +
                                +
                                posted onPosted 19 Days Ago
                                +
                                +
                                job requisition idJR1984535
                                +
                                +
                                +
                                +

                                Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and pioneering computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most fast-paced computer users in the world - scientists, designers, artists, and gamers. It’s not just technology, though! It is our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, innovative, and dynamic places to work! At the center of NVIDIA are our core values, like innovation, excellence, determination, and team, that guide us to be the best we can be.

                                +

                                +

                                What you\'ll be doing:

                                  -
                                • Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts

                                • -
                                • Work with the Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business expertise, explainable and efficiently integrated into processes

                                • -
                                • Design and build tools/reporting that is user friendly and actionable

                                • -
                                • Plan, track and manage multiple projects and requests – these initiatives can range from formal long-term project implementations, medium-scale process improvement initiatives, urgent system/tool support issues, or quick ad-hoc analysis requests

                                • -
                                • Proactively identify opportunities and deliver data-supported insights to Merchandising and Forecasting, to help improve the accuracy of forecasts and key business decisions

                                • -
                                • Provide leadership and direction to the team, including training and coaching in advanced analytics

                                • -
                                • Ensure the forecasting systems, reports and EUC tools are operational and support the business processes; lead projects to implement new functionality, including automation

                                • -
                                • Act as a subject matter expert for Forecasting processes and provide expertise and direction in special projects

                                • +
                                • Develop, maintain, and improve our Developer Platform and tooling to empower our developers, enable sophisticated cross-platform build systems, and deliver extraordinary infrastructure platform for Nvidia and its Customers.

                                • +
                                • Partner and cross-collaborate with developers, QA, and product teams to establish, refine, and streamline our SW and Infrastructure management, automation, and processes.

                                • +
                                • Strong System Admin experience using Infrastructure-as-code with tools such as Ansible, Puppet, Chef & Terraform.

                                • +
                                • Design and implement monitoring solutions to gain insight into applications and system health. Implement critical metrics using various analytics methods and dashboards.

                                • +
                                • Craft and develop tools needed for automating workflows. Reuse AI techniques to extract useful signals about machines and jobs from the data generated.

                                • +
                                • Take part in prototyping, crafting, and developing cloud infrastructure for NVIDIA.

                                • +
                                • Drive infrastructure resource efficiency initiatives with engineering and finance

                                -

                                What you bring

                                +

                                What we need to see:

                                  -
                                • The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

                                • -
                                • 4+ years work experience in various roles within forecasting, analytics, merchandising or supply chain.

                                • -
                                • University degree in engineering, math, computer science, statistics, business or related field

                                • -
                                • Proficiency with programming in Python, Spark, and SQL.

                                • -
                                • Direct experience with data science / machine learning models, including successful implementations & productionizing of projects.

                                • -
                                • Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights and recommendations.

                                • -
                                • Experience with Cloud computing environments for data science.

                                • -
                                • Advanced technical skills in Microsoft Access, Excel, Database systems.

                                • -
                                • Results-oriented, with proven project and time management skills (planning, prioritizing, executing, delegating, and tracking).

                                • -
                                • Business mindset with an understanding of the retail industry.

                                • -
                                • Demonstrated ability to lead, influence, and motivate peers as well as others without direct authority.

                                • -
                                • Effective written and verbal communication skills, including presentation abilities.

                                • +
                                • Bachelor\'s or Master’s degree in computer science, Software Engineering, or equivalent experience.

                                • +
                                • 8+ years of overall experience.

                                • +
                                • Solid programming background in Python and/or similar scripting languages.

                                • +
                                • Experience in maintaining cloud infrastructure and highly available production environment.

                                • +
                                • Strong understanding of architectural requirements and development processes in building reliable, robust, scalable data products and pipelines. Experience in Databases, both SQL (MySQL) and NoSQL (Elastic Search /MongoDB/Cassandra).

                                • +
                                • Proficient with configuration management tools like Ansible, Puppet, Chef, and source code management & binary repository systems like GitLab, GitHub, Artifactory etc.

                                • +
                                • Strong background with Gitlab, Jenkins, and/or other CI/CD systems.

                                • +
                                • Proficient with Kubernetes administration, dockers & virtualization. Knowledge of standard methodologies related to security.

                                • +
                                • Proficient with data analytics/visualization & monitoring tools like Kibana, Grafana, Splunk, Zabbix, Prometheus, and/or similar systems.

                                -

                                Hybrid

                                -

                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                -

                                -

                                -

                                About Us

                                -

                                -

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                -

                                -

                                Our Commitment to Diversity, Inclusion and Belonging

                                -

                                -

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                -

                                -

                                Accommodations

                                -

                                -

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                +

                                +

                                The base salary range is 123,750 CAD - 260,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
                                +

                                You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                                -
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Senior-Consultant--Predictive-Analytics_JR138041?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-03T08:45:02.257Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/341822109-senior-consultant-predictive-analytics-at-canadian-tire-corporation,,expired,2024-09-12T16:27:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -88a105ff-e7cd-401d-a60f-b6844192d138,342711415,Vector Institute,Applied AI Program Design & Delivery Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.714Z,"

                                Applied AI Program Design & Delivery Intern

                                -

                                POSITION OVERVIEW

                                -

                                The Applied AI Program Design & Delivery Intern will have the opportunity to gain real-world experience in facilitating industry adoption and knowledge transfer of AI at a leading AI institute. The objective of the internship role is to support Vector’s industry sponsors in developing, deploying, and scaling applications of AI within industry sponsor companies. Reporting to a Project Manager on the Applied AI Projects team, you will play a key role in ensuring the goals of the Industry Innovation work stream are met.

                                -

                                Start date: January 6, 2025

                                -

                                End date: April 25, 2025

                                -

                                APPLIED INTERNSHIPS AT VECTOR

                                -

                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                -

                                KEY RESPONSIBILITIES

                                -
                                  -
                                • Assist in the development and management of AI upskilling and education programs, including talk series, multi-day workshops, and multi-week trainings;

                                • -
                                • Assist in the design, development, and management of AI programs and collaborative projects, including managing project plans and supporting logistics;

                                • -
                                • Leverage your AI and ML knowledge to recommend relevant use cases, guest speakers, and engaging content for seminars and workshops; contribute to discussions on AI applications;

                                • -
                                • Support the delivery of Industry Innovation programs by coordinating and facilitating meetings with industry sponsors, preparing necessary documents, tracking action items, and ensuring timely follow-up;

                                • -
                                • Conduct and audit research on content for AI talk series and webinars, synthesize findings from research papers, and perform literature reviews;

                                • -
                                • Provide quantitative and qualitative analysis and create reports for both training programs and collaborative projects; support end-of-course deliverables with comprehensive reporting; and,

                                • -
                                • Perform other duties as assigned to support the overall goals of the Industry Innovation work stream.

                                • -
                                -

                                The specific project or program will be determined by the interview team’s assessment of your skills and your background, and will take into account your professional interests.

                                -


                                -

                                PROFILE OF THE IDEAL CANDIDATE

                                -
                                  -
                                • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                                • -
                                • You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.

                                • -
                                • You are motivated to apply machine learning techniques to real-world problems.

                                • -
                                • You act as a technical translator to help non-technical people understand machine learning and other AI techniques.

                                • -
                                • Familiarity with GSuite and/or MS Office 365 applications would be an asset.

                                • -
                                -


                                -

                                NICE TO HAVE

                                -
                                  -
                                • You are organized and efficient, with strong problem-solving skills; experience in project management considered an asset.

                                • -
                                • You are creative and enjoy collaborating within a small, results-driven entrepreneurial environment.

                                • -
                                • Possesses a positive attitude, integrity, a sense of humor, and brings positive energy to a not-for-profit corporate culture.

                                • -
                                • Creative, resourceful, and with a strong intellectual curiosity.

                                • -
                                • Motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                                • -
                                -


                                -

                                Compensation: $25/hour.

                                -


                                -

                                If you have any questions, please contact internships@vectorinstitute.ai.

                                -


                                -

                                Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                -

                                At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                -

                                Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                -

                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508058&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,16,87,https://talenthub.vectorinstitute.ai/jobs/342711415-applied-ai-program-design-delivery-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -3ac993ef-4bef-4f51-b2f9-c9bc33886187,342710069,BMO Financial Group,Manager - Analytics and Reporting,on_site,"Ontario, Canada",2024-09-19T12:06:01.612Z,"
                                -

                                Application Deadline:

                                09/30/2024

                                +
                                +

                                +

                                +
                                +
                                +
                                +
                                +
                                +
                                +

                                About Us

                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
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                                +
                                +0:00 / 3:32 +
                                +
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                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +

                                NVIDIA is a Learning Machine

                                +

                                +

                                NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world\'s largest industries and profoundly impacting society.

                                +

                                +

                                Learn more about NVIDIA.

                                +
                                +
                                +
                                +
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Governance-Infrastructure-Platform-Automation-Engineer---NGC_JR1984535-1?locationHierarchy1=2fcb99c455831013ea529c3b93ba3236,feed-importer@jobboard.io,,,,2024-08-06T16:35:00.000Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/334405080-senior-governance-infrastructure-platform-automation-engineer-ngc-at-nvidia,,expired,2024-07-18T06:04:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, +795a666b-7f97-4072-b10d-1b28bf1dd6fc,336151402,BMO Financial Group,Manager- Campaign Analytics,on_site,"Ontario, Canada",2024-08-01T07:37:29.082Z,"
                                +

                                Application Deadline:

                                08/30/2024

                                Address:

                                100 King Street West

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                Keys for the role:

                                -

                                -

                                The Analytics & Reporting group is accountable for continuous improvement of the analytics and reporting process across Capital Markets and International Operations. The group requires specialized business and valuation skills.

                                -

                                -

                                The Manager will report to Director of the group and will assist in the digitalization of the reporting process using Power BI and will also assist in developing the Robotics Process Automation program for the Capital Markets and International Operations.

                                -

                                -

                                This is an exciting opportunity for a Data Scientist who is looking to enhance their data visualization skill, building out solutions to bring value to the existing data and analytics and becoming RPA champion.

                                -

                                -

                                The Manager Analytics and Reporting consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                +

                                Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                +

                                +

                                Qualifications:

                                +

                                Foundational level of proficiency:

                                + +

                                Intermediate level of proficiency:

                                + +

                                Advanced level of proficiency:

                                +

                                @@ -123500,88 +124577,320 @@ Broader work or accountabilities may be assigned as needed.
                                Qualifica

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager----Analytics-and-Reporting_R240018067-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T08:23:03.513Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/342710069-manager-analytics-and-reporting-at-bmo-financial-group,,expired,2024-09-19T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -64382280-f30e-489c-a463-c45b22f2a653,340350693,BMO Financial Group,"Senior Analyst, Counterparty Credit Risk - (Trading Systems / Python programming / Financial Products)",on_site,"Ontario, Canada",2024-09-02T17:42:02.169Z,"
                                -

                                Application Deadline:

                                10/27/2024

                                -

                                -

                                Address:

                                250 Yonge Street

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                -
                                  -
                                • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.

                                • -
                                • Monitors risk in strategies and portfolios alongside project managers or functional leads.

                                • -
                                • Participate in the different testing cycles of the Counterparty Credit Risk systems releases with high level guidance and instructions.

                                • -
                                • Investigate into system issues identified by either LoB or other members of the team, provide the root cause analysis and provide potential solutions with assistance and guidance.

                                • -
                                • Participate in the new business activities including drafting the requirements and conduct SIT/UAT with guidance.

                                • -
                                • Maintaining and improving the business specification based on changes required.

                                • -
                                • Provide assistance in ad-hoc projects/requests within the group.

                                • -
                                • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.

                                • -
                                • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.

                                • -
                                • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.

                                • -
                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

                                • -
                                • Conducts quantitative research in risks across strategies and portfolios.

                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                • -
                                • Works independently on a range of complex tasks, which may include unique situations.

                                • -
                                • Broader work or accountabilities may be assigned as needed.

                                • -
                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Campaign-Analytics_R240013421?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-05T07:42:03.501Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/336151402-manager-campaign-analytics-at-bmo-financial-group,,expired,2024-08-01T07:37:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e61e8edc-ab8f-40ca-8dba-4e0b4ac46712,342711101,Canadian Tire Corporation,"Specialist, Merchandising Data Governance",on_site,"Ontario, Canada",2024-09-19T12:32:02.162Z,"
                                +

                                What you’ll do

                                -

                                Qualifications:

                                -

                                Foundational level of proficiency:

                                +

                                Reporting to the Manager- Merchandising Data Governance, the Specialist will be accountable to work with merchandising and digital teams in solving user issues. You will have to understand Merchandising/Assortment requirements and conduct various operational tasks.

                                  -
                                • Regulatory capital and stress testing.

                                • -
                                • Requires Fundamental knowledge of financial product including OTC Derivatives and Security Financial Transactions.

                                • -
                                • Requires excellent programming skills including Python platform.

                                • -
                                • Compliance and regulation.

                                • -
                                • Machine learning.

                                • -
                                • Learning Agility.

                                • -
                                • Systems Thinking.

                                • -
                                • Model risk management.

                                • -
                                • Data visualization.

                                • -
                                • Data wrangling.

                                • -
                                • Data preprocessing.

                                • -
                                • Critical thinking.

                                • -
                                • Driving Results.

                                • +
                                • Identify root causes and proactively look for improvements to eliminate or reduce possible issues

                                • +
                                • There will be an equal split between operational tasks, report running and business analysis.

                                • +
                                • Ensure proper support procedures, documentation, and tools are in place to support the various projects and internal users

                                • +
                                • Build and sustain EUCs, data uploads, conduct UAT and manage group mailbox.

                                • +
                                • Conduct basic data-pull from source and provide inferences to facilitate decision making

                                -

                                Intermediate level of proficiency:

                                +

                                +

                                What you bring

                                  -
                                • Quantitative financial modeling.

                                • -
                                • Computational thinking and programming.

                                • -
                                • Verbal & written communication skills.

                                • -
                                • Collaboration & team skills.

                                • -
                                • Analytical and problem solving skills.

                                • -
                                • Data driven decision making.

                                • -
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                • -
                                • Technical proficiency gained through education and/or business experience.

                                • +
                                • 1-3 years of experience, preferably in retail industry will be considered an asset; New graduates are welcome to apply

                                • +
                                • Exposure to PowerApps, Python, Microsoft Excel (vba) and Microsoft Access will be considered an asset

                                • +
                                • Exposure to retail merchandising concepts and data-analysis will be considered an asset.

                                • +
                                • Demonstrated problem solving experience and strong analytical skills

                                • +
                                • Flexible, with ability to adapt to change and ambiguity

                                -

                                -

                                Salary:

                                -
                                $65,400.00 - $121,800.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Counterparty-Credit-Risk----Trading-Systems---Python-programming---Financial-Products-_R240021575?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-03T16:44:18.652Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/340350693-senior-analyst-counterparty-credit-risk-trading-systems-python-programming-financial-products-at-bmo-financial-group,,expired,2024-09-02T17:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

                                Hybrid

                                +

                                +

                                At Canadian Tire we value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                +

                                +

                                #LI-UH1

                                +

                                +

                                +

                                About Us

                                +

                                +

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                +

                                +

                                Our Commitment to Diversity, Inclusion and Belonging

                                +

                                +

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                +

                                +

                                Accommodations

                                +

                                +

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                +

                                +
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Specialist--Merchandising-Data-Governance_JR138300?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-09-30T08:45:02.564Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/342711101-specialist-merchandising-data-governance-at-canadian-tire-corporation,,expired,2024-09-19T12:32:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,No Degree,New Posting, +5346d6e5-f5fc-4a9c-b78b-2b2ad3d1117e,341819802,RBC,Data Engineer,on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.016Z,"
                                +

                                Job Summary

                                +

                                +

                                +

                                Job Description

                                +

                                +

                                What is the Opportunity?

                                +

                                +

                                As part of the GRM OR Analytics Team, you will partner with Operational Risk subject matter experts (SMEs) to use data-driven decision-making in monitoring and managing various aspects of risk. You will design and execute more efficient Data Engineering and DevOps processes, as well as work with (including but not limited to): GitHub, Jenkins, Spark, PySpark, SQL, and Tableau. You will also collaborate with a highly skilled team of Data Engineers and Data Analysts to further deliver value to the organization.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models.

                                • +
                                • Design and optimize data pipelines for dashboarding and reporting

                                • +
                                • Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk

                                • +
                                • Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL/DAG

                                • +
                                • Create software artifacts and patterns for reuse within the team

                                • +
                                • Help improve data management processes towards acquiring, transforming, and storing data

                                • +
                                • Leverage DevOps practices to streamline and automate software delivery

                                • +
                                +


                                What do you need to succeed?

                                +

                                +

                                Must-have

                                +
                                  +
                                • 3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive)

                                • +
                                • Professional software development experience with Python, Spark, Linux, and SQL

                                • +
                                • Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools

                                • +
                                • Experience using job scheduling tools (Airflow preferred) to manage ETLs

                                • +
                                • Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/Ph.D. considered an asset.

                                • +
                                +


                                Nice-to-have

                                +
                                  +
                                • Experience with REST API and microservice frameworks

                                • +
                                • Experience working with containers (Docker, Kubernetes)

                                • +
                                • Experience working in an Agile team

                                • +
                                • Experience with dashboarding and reporting tools (Tableau)

                                • +
                                • Strong critical thinking and creative problem-solving skills

                                • +
                                • Strong communication skills both in written and verbal

                                • +
                                +

                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                • +
                                • Leaders who support your development through coaching and managing opportunities

                                • +
                                • Ability to make a difference and lasting impact

                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                • +
                                • A world-class training program in financial services

                                • +
                                • Flexible work/life balance options

                                • +
                                • Opportunities to do challenging work

                                • +
                                +

                                +

                                #LI-Hybrid

                                +

                                #LI-Post

                                +

                                #TechPJ

                                +

                                +

                                +

                                Job Skills

                                Apache Airflow, Apache Spark, Artifactory, Big Data Architecture, Big Data Management, Commercial Acumen, Containerization, Data Mining, Data Pipelines, Data Science, DevOps, GitHub, Jenkins Continuous Integration, Linux, Machine Learning, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL), Tableau

                                +

                                +

                                +

                                Additional Job Details

                                +

                                Address:

                                20 KING ST W:TORONTO

                                City:

                                TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                GROUP RISK MANAGEMENT

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2024-07-31

                                Application Deadline:

                                2024-09-30

                                +

                                +

                                +

                                +

                                +
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                +

                                +

                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000093107/Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-30T08:25:03.383Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/341819802-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a47b9a41-30bd-4e2a-a2a0-673902c2674e,343307674,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.140Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 205923

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Term: January 2025 – May 2025

                                +

                                Application Deadline: September 27th, 2024

                                +

                                +

                                Ready to Start your Journey with Scotiabank? Apply Now!

                                +

                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                                +

                                +

                                Please follow the steps below to successfully apply:

                                +

                                +

                                Step 1: Complete your PLUM Profile here and save as a screenshot.

                                +

                                Step 2: Complete a short one-way video interview here.

                                +

                                Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                                +

                                Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                                +

                                +

                                Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2025 Internship applications are the same. You only need to complete this one!

                                +

                                +

                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                +

                                +

                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                +

                                +

                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                +

                                +

                                Is this role right for you? In this role, you will:

                                +
                                • Perform data exploration on different data sources and model training

                                • +
                                +
                                • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)

                                • +
                                +
                                • Automate data pipelines and trigger actions/events to streamline business processes and models enablement

                                • +
                                +
                                • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model

                                • +
                                +
                                • Monitor the run time of the models, work closely with Data Scientist on continuous optimization

                                • +
                                +
                                • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance

                                • +
                                +
                                • Migrate data pipelines and models to new analytics platforms

                                • +
                                +
                                • Experiment & learn!

                                • +
                                +

                                +

                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                +
                                • You are currently enrolled in post-secondary education.

                                • +
                                +
                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                • +
                                +
                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                                • +
                                +
                                • You have knowledge/experience in:

                                • +
                                +
                                • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)

                                • +
                                +
                                • Cloud platforms – GCP, Azure or AWS

                                • +
                                +
                                • MinIO Data Storage, Airflow, Trino

                                • +
                                +
                                • DB2, SQL Server

                                • +
                                +
                                • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix

                                • +
                                +
                                • CI/CD tech stack (BitBucket, Jenkins, Artifactory)

                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                • +
                                +
                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                • +
                                +
                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                • +
                                +
                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2025-ON/584011017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,7,50,https://talenthub.vectorinstitute.ai/jobs/343307674-velocity-data-engineer-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2025-ON/584011017/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +653e5ea0-1678-4d51-875c-c7e69cfccffe,343307676,Scotiabank,"Manager, Model Development - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.347Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 206781

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The world is changing faster than ever and so are we!

                                +

                                +

                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                +

                                +

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                +

                                +

                                What Are We Looking For?
                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                +

                                +

                                To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                +

                                +

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                +


                                Make an Impact
                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the regulatory capital (AIRB) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

                                +

                                +

                                You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                +

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                +

                                +

                                Is This Role Right for You?

                                +
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be more, or less technical than you)
                                • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                • You understand what PDs, LGDs, EADs & RWA really are, from the ground up, and can model them precisely for any product
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights through high-quality verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • +
                                +

                                +

                                Sample projects that you might work on include:

                                +
                                • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                • Prepare attribution and/or stock-flow analysis of product portfolios
                                • Collaborate with risk management, vendors, technology and compliance + audit to ensure effective governance, measurement & communication of model performance
                                • Accurately estimate impacts and implement the models developed, recalibrated and maintained in production platforms
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • +
                                +

                                +

                                What Do You Need to Succeed?
                                General

                                +
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • +
                                +

                                +

                                Technical

                                +
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge about credit risk models / scorecards
                                • +
                                +

                                +

                                Nice to Have’s

                                +
                                • Proficient reading, writing and speaking Spanish
                                • Experience with credit risk forecasting and/or financial reporting frameworks
                                • Experience developing credit risk models / scorecards
                                • Experience working within loss forecasting, AIRB or IFRS9 frameworks
                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                • FRM, CFA credentials
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                • +
                                +

                                +

                                What’s in It for You?

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/584459217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/343307676-manager-model-development-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/584459217/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +64f5f35d-5172-4afb-9a95-9b02cdcf6a40,343307681,Scotiabank,"Manager, Business Analyst, Models - Retail and Small Business - Contract",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:03.012Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 206720

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The world is changing faster than ever and so are we!

                                +

                                +

                                Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                                +

                                +

                                Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:

                                +

                                You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec’ing out how our modeling and technology teams should use what you discovered.

                                +

                                +

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                +

                                +

                                What We Are Looking For:

                                +

                                We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational and technical processes into business rules and data flows, and working collaboratively with a diverse range of stakeholders to develop scalable solutions in the interest of improving our automated forecasting models and capital allocation.

                                +

                                +

                                We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                                +

                                +

                                The ideal candidate will be a consummate team player who is equally comfortable being a:

                                +
                                • Business Analyst / Business Consultant / Financial Analyst
                                • Data Analyst
                                • Software Architect
                                • Process Engineer
                                • +
                                +

                                +

                                Make An Impact:

                                +

                                As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Project Management Office, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                                +

                                +

                                You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:

                                +
                                • Plan and manage initiatives,
                                • Map and / or re-engineer key processes, data flows and / or business rules
                                • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                                • +
                                +

                                +

                                Potential deliverables / outcomes may include (but not be limited to):

                                +
                                • Business, implementation and project plans that get executed to completion
                                • Business rules, financial formulae and algorithms
                                • Newly generated and retrofitted automated reporting
                                • Improved operational efficiency and effectiveness
                                • Quantitative analysis to support ongoing decision-making
                                • Recommendations of what else “we should look into / fix” next
                                • +
                                +

                                +

                                Is This Role Right For You?

                                +
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with data, analytic / technical and business processes
                                • You relish ambitious but realistic goals and are committed to achieving them
                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                                • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                                • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                                • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • +
                                +

                                +

                                What Do You Need To Succeed:

                                +

                                General

                                +
                                • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                                • A demonstrated history of problem solving, technology implementation and sound judgement
                                • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                                • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • +
                                +

                                +

                                Technical

                                +
                                • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                                • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                                • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
                                • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                                • +
                                +

                                +

                                Nice To Have's

                                +

                                General

                                +
                                • Proficient reading, writing and speaking Spanish
                                • Domain expertise with retail & small business banking products and / or risk management practices
                                • Familiarity with credit risk models / scorecards
                                • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                                • +
                                +

                                +

                                Technical

                                +
                                • An understanding of statistical prediction, estimation and forecasting models
                                • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                                • An appreciation for advanced statistical approaches used to assess and address uncertainty
                                • +
                                +

                                +

                                What Is In It For You:

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • +
                                +

                                +

                                You’ll have fun. We do.

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-Contract-ON-M5H1H1/584423417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/343307681-manager-business-analyst-models-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-Contract-ON-M5H1H1/584423417/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +462b35b7-ea3e-4b37-b4ce-e798517dc2c2,342404629,National Research Council Canada,Future Opportunities with National Research Council Canada,hybrid,"Ontario, Canada",2024-09-17T02:54:35.712Z,"

                                National Research Council Canada is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with NRCC, and it will be shared with them after the event.

                                +

                                Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins.

                                +

                                About Us

                                +

                                Anything is possible at the NRC. As Canada's leading research and technology organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada's future and the world.

                                +

                                At the NRC, you'll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You'll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you'll discover what's possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

                                +

                                For career seekers

                                +

                                Explore job opportunities at the NRC, access career tools and resources, learn about the NRC's programs for researchers and students, find out about our awards and fellowships, and discover what makes the NRC a great place to work.

                                +

                                The NRC is committed to equity, diversity and inclusion. We encourage all qualified applicants to self-declare as a member of a designated employment equity group during the job application process.

                                ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://nrc.canada.ca/en,,,2024-10-02T02:54:00.000Z,False,40,0,201,https://talenthub.vectorinstitute.ai/jobs/342404629-future-opportunities-with-national-research-council-canada-at-national-research-council-canada,,expired,2024-09-17T02:54:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Health,Associate,Masters Degree,New Posting, 4643c6df-3d7b-43d7-91c0-dd8ee37de161,304660913,Cohere AI,"Engineering Program Manager, Search & Embedding ML",on_site,"Toronto, ON, Canada",2024-02-05T16:34:03.499Z,"
                                Who are we?
                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                @@ -124615,319 +125924,65 @@ d417a918-b034-4f14-b338-28af5b6669a4,306574035,RBC,"Associate Director, Capital

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Procurement-Insights-and-Analytics-ON-M5H4B6/578191017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-22T16:31:02.575Z,False,0,2,43,https://talenthub.vectorinstitute.ai/jobs/306125627-senior-manager-procurement-insights-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Procurement-Insights-and-Analytics-ON-M5H4B6/578191017/,expired,2024-02-12T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -5346d6e5-f5fc-4a9c-b78b-2b2ad3d1117e,341819802,RBC,Data Engineer,on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.016Z,"
                                -

                                Job Summary

                                -

                                -

                                -

                                Job Description

                                -

                                -

                                What is the Opportunity?

                                -

                                -

                                As part of the GRM OR Analytics Team, you will partner with Operational Risk subject matter experts (SMEs) to use data-driven decision-making in monitoring and managing various aspects of risk. You will design and execute more efficient Data Engineering and DevOps processes, as well as work with (including but not limited to): GitHub, Jenkins, Spark, PySpark, SQL, and Tableau. You will also collaborate with a highly skilled team of Data Engineers and Data Analysts to further deliver value to the organization.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models.

                                • -
                                • Design and optimize data pipelines for dashboarding and reporting

                                • -
                                • Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk

                                • -
                                • Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL/DAG

                                • -
                                • Create software artifacts and patterns for reuse within the team

                                • -
                                • Help improve data management processes towards acquiring, transforming, and storing data

                                • -
                                • Leverage DevOps practices to streamline and automate software delivery

                                • -
                                -


                                What do you need to succeed?

                                -

                                -

                                Must-have

                                -
                                  -
                                • 3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive)

                                • -
                                • Professional software development experience with Python, Spark, Linux, and SQL

                                • -
                                • Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools

                                • -
                                • Experience using job scheduling tools (Airflow preferred) to manage ETLs

                                • -
                                • Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/Ph.D. considered an asset.

                                • -
                                -


                                Nice-to-have

                                -
                                  -
                                • Experience with REST API and microservice frameworks

                                • -
                                • Experience working with containers (Docker, Kubernetes)

                                • -
                                • Experience working in an Agile team

                                • -
                                • Experience with dashboarding and reporting tools (Tableau)

                                • -
                                • Strong critical thinking and creative problem-solving skills

                                • -
                                • Strong communication skills both in written and verbal

                                • -
                                -

                                -

                                What’s in it for you?

                                -

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -
                                  -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                • -
                                • Leaders who support your development through coaching and managing opportunities

                                • -
                                • Ability to make a difference and lasting impact

                                • -
                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                • -
                                • A world-class training program in financial services

                                • -
                                • Flexible work/life balance options

                                • -
                                • Opportunities to do challenging work

                                • -
                                -

                                -

                                #LI-Hybrid

                                -

                                #LI-Post

                                -

                                #TechPJ

                                -

                                -

                                -

                                Job Skills

                                Apache Airflow, Apache Spark, Artifactory, Big Data Architecture, Big Data Management, Commercial Acumen, Containerization, Data Mining, Data Pipelines, Data Science, DevOps, GitHub, Jenkins Continuous Integration, Linux, Machine Learning, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL), Tableau

                                -

                                -

                                -

                                Additional Job Details

                                -

                                Address:

                                20 KING ST W:TORONTO

                                City:

                                TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                GROUP RISK MANAGEMENT

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2024-07-31

                                Application Deadline:

                                2024-09-30

                                -

                                -

                                -

                                -

                                -
                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                -
                                -

                                -

                                -

                                -

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000093107/Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-30T08:25:03.383Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/341819802-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e61e8edc-ab8f-40ca-8dba-4e0b4ac46712,342711101,Canadian Tire Corporation,"Specialist, Merchandising Data Governance",on_site,"Ontario, Canada",2024-09-19T12:32:02.162Z,"
                                -

                                What you’ll do

                                -

                                -

                                Reporting to the Manager- Merchandising Data Governance, the Specialist will be accountable to work with merchandising and digital teams in solving user issues. You will have to understand Merchandising/Assortment requirements and conduct various operational tasks.

                                +439b26b5-be9e-4cef-9cdb-a0259fe67c12,339831182,Google,"Software Developer III, AI/Machine Learning",on_site,"Toronto, ON, Canada",2024-08-29T15:58:02.775Z,"
                                +
                                +

                                Software Developer III, AI/Machine Learning

                                +
                                +
                                +
                                +
                                +
                                  +
                                +
                                +
                                +
                                +
                                +

                                Minimum qualifications:

                                  -
                                • Identify root causes and proactively look for improvements to eliminate or reduce possible issues

                                • -
                                • There will be an equal split between operational tasks, report running and business analysis.

                                • -
                                • Ensure proper support procedures, documentation, and tools are in place to support the various projects and internal users

                                • -
                                • Build and sustain EUCs, data uploads, conduct UAT and manage group mailbox.

                                • -
                                • Conduct basic data-pull from source and provide inferences to facilitate decision making

                                • +
                                • Bachelor’s degree or equivalent practical experience.
                                  +
                                • +
                                • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
                                  +
                                • +
                                • 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing.
                                  +
                                • +
                                • Experience with Large Language Models, NLP, or Generative AI.
                                  +
                                -

                                -

                                What you bring

                                +

                                Preferred qualifications:

                                  -
                                • 1-3 years of experience, preferably in retail industry will be considered an asset; New graduates are welcome to apply

                                • -
                                • Exposure to PowerApps, Python, Microsoft Excel (vba) and Microsoft Access will be considered an asset

                                • -
                                • Exposure to retail merchandising concepts and data-analysis will be considered an asset.

                                • -
                                • Demonstrated problem solving experience and strong analytical skills

                                • -
                                • Flexible, with ability to adapt to change and ambiguity

                                • -
                                -

                                -

                                Hybrid

                                -

                                -

                                At Canadian Tire we value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                -

                                -

                                #LI-UH1

                                -

                                -

                                -

                                About Us

                                -

                                -

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                -

                                -

                                Our Commitment to Diversity, Inclusion and Belonging

                                -

                                -

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                -

                                -

                                Accommodations

                                -

                                -

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                -

                                -
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Specialist--Merchandising-Data-Governance_JR138300?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-09-30T08:45:02.564Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/342711101-specialist-merchandising-data-governance-at-canadian-tire-corporation,,expired,2024-09-19T12:32:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,No Degree,New Posting, -462b35b7-ea3e-4b37-b4ce-e798517dc2c2,342404629,National Research Council Canada,Future Opportunities with National Research Council Canada,hybrid,"Ontario, Canada",2024-09-17T02:54:35.712Z,"

                                National Research Council Canada is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with NRCC, and it will be shared with them after the event.

                                -

                                Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins.

                                -

                                About Us

                                -

                                Anything is possible at the NRC. As Canada's leading research and technology organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada's future and the world.

                                -

                                At the NRC, you'll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You'll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you'll discover what's possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

                                -

                                For career seekers

                                -

                                Explore job opportunities at the NRC, access career tools and resources, learn about the NRC's programs for researchers and students, find out about our awards and fellowships, and discover what makes the NRC a great place to work.

                                -

                                The NRC is committed to equity, diversity and inclusion. We encourage all qualified applicants to self-declare as a member of a designated employment equity group during the job application process.

                                ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://nrc.canada.ca/en,,,2024-10-02T02:54:00.000Z,False,40,0,201,https://talenthub.vectorinstitute.ai/jobs/342404629-future-opportunities-with-national-research-council-canada-at-national-research-council-canada,,expired,2024-09-17T02:54:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Health,Associate,Masters Degree,New Posting, -a47b9a41-30bd-4e2a-a2a0-673902c2674e,343307674,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.140Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 205923

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Term: January 2025 – May 2025

                                -

                                Application Deadline: September 27th, 2024

                                -

                                -

                                Ready to Start your Journey with Scotiabank? Apply Now!

                                -

                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                                -

                                -

                                Please follow the steps below to successfully apply:

                                -

                                -

                                Step 1: Complete your PLUM Profile here and save as a screenshot.

                                -

                                Step 2: Complete a short one-way video interview here.

                                -

                                Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                                -

                                Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                                -

                                -

                                Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2025 Internship applications are the same. You only need to complete this one!

                                -

                                -

                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                -

                                -

                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                -

                                -

                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                -

                                -

                                Is this role right for you? In this role, you will:

                                -
                                • Perform data exploration on different data sources and model training

                                • -
                                -
                                • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)

                                • -
                                -
                                • Automate data pipelines and trigger actions/events to streamline business processes and models enablement

                                • -
                                -
                                • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model

                                • -
                                -
                                • Monitor the run time of the models, work closely with Data Scientist on continuous optimization

                                • -
                                -
                                • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance

                                • -
                                -
                                • Migrate data pipelines and models to new analytics platforms

                                • -
                                -
                                • Experiment & learn!

                                • -
                                -

                                -

                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                -
                                • You are currently enrolled in post-secondary education.

                                • -
                                -
                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                • -
                                -
                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                                • -
                                -
                                • You have knowledge/experience in:

                                • -
                                -
                                • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)

                                • -
                                -
                                • Cloud platforms – GCP, Azure or AWS

                                • -
                                -
                                • MinIO Data Storage, Airflow, Trino

                                • -
                                -
                                • DB2, SQL Server

                                • -
                                -
                                • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix

                                • -
                                -
                                • CI/CD tech stack (BitBucket, Jenkins, Artifactory)

                                • -
                                -

                                -

                                What’s in it for you?

                                -
                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                • -
                                -
                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                • -
                                -
                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                • -
                                -
                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                • -
                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2025-ON/584011017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,7,50,https://talenthub.vectorinstitute.ai/jobs/343307674-velocity-data-engineer-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2025-ON/584011017/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -653e5ea0-1678-4d51-875c-c7e69cfccffe,343307676,Scotiabank,"Manager, Model Development - Retail and Small Business (Contract)",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.347Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 206781

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The world is changing faster than ever and so are we!

                                -

                                -

                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                -

                                -

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                -

                                -

                                What Are We Looking For?
                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                -

                                -

                                To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                -

                                -

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                -


                                Make an Impact
                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the regulatory capital (AIRB) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

                                -

                                -

                                You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                -

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                -

                                -

                                Is This Role Right for You?

                                -
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be more, or less technical than you)
                                • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                • You understand what PDs, LGDs, EADs & RWA really are, from the ground up, and can model them precisely for any product
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights through high-quality verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • -
                                -

                                -

                                Sample projects that you might work on include:

                                -
                                • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                • Prepare attribution and/or stock-flow analysis of product portfolios
                                • Collaborate with risk management, vendors, technology and compliance + audit to ensure effective governance, measurement & communication of model performance
                                • Accurately estimate impacts and implement the models developed, recalibrated and maintained in production platforms
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • -
                                -

                                -

                                What Do You Need to Succeed?
                                General

                                -
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • -
                                -

                                -

                                Technical

                                -
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge about credit risk models / scorecards
                                • -
                                -

                                -

                                Nice to Have’s

                                -
                                • Proficient reading, writing and speaking Spanish
                                • Experience with credit risk forecasting and/or financial reporting frameworks
                                • Experience developing credit risk models / scorecards
                                • Experience working within loss forecasting, AIRB or IFRS9 frameworks
                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                • FRM, CFA credentials
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                • -
                                -

                                -

                                What’s in It for You?

                                -
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                • -
                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/584459217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/343307676-manager-model-development-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Model-Development-Retail-and-Small-Business-%28Contract%29-ON-M5H1H1/584459217/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -64f5f35d-5172-4afb-9a95-9b02cdcf6a40,343307681,Scotiabank,"Manager, Business Analyst, Models - Retail and Small Business - Contract",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:03.012Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 206720

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The world is changing faster than ever and so are we!

                                -

                                -

                                Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                                -

                                -

                                Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:

                                -

                                You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec’ing out how our modeling and technology teams should use what you discovered.

                                -

                                -

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                -

                                -

                                What We Are Looking For:

                                -

                                We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational and technical processes into business rules and data flows, and working collaboratively with a diverse range of stakeholders to develop scalable solutions in the interest of improving our automated forecasting models and capital allocation.

                                -

                                -

                                We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                                -

                                -

                                The ideal candidate will be a consummate team player who is equally comfortable being a:

                                -
                                • Business Analyst / Business Consultant / Financial Analyst
                                • Data Analyst
                                • Software Architect
                                • Process Engineer
                                • -
                                -

                                -

                                Make An Impact:

                                -

                                As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Project Management Office, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                                -

                                -

                                You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:

                                -
                                • Plan and manage initiatives,
                                • Map and / or re-engineer key processes, data flows and / or business rules
                                • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                                • -
                                -

                                -

                                Potential deliverables / outcomes may include (but not be limited to):

                                -
                                • Business, implementation and project plans that get executed to completion
                                • Business rules, financial formulae and algorithms
                                • Newly generated and retrofitted automated reporting
                                • Improved operational efficiency and effectiveness
                                • Quantitative analysis to support ongoing decision-making
                                • Recommendations of what else “we should look into / fix” next
                                • -
                                -

                                -

                                Is This Role Right For You?

                                -
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with data, analytic / technical and business processes
                                • You relish ambitious but realistic goals and are committed to achieving them
                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                                • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                                • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                                • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • -
                                -

                                -

                                What Do You Need To Succeed:

                                -

                                General

                                -
                                • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                                • A demonstrated history of problem solving, technology implementation and sound judgement
                                • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                                • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • -
                                -

                                -

                                Technical

                                -
                                • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                                • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                                • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
                                • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                                • -
                                -

                                -

                                Nice To Have's

                                -

                                General

                                -
                                • Proficient reading, writing and speaking Spanish
                                • Domain expertise with retail & small business banking products and / or risk management practices
                                • Familiarity with credit risk models / scorecards
                                • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                                • -
                                -

                                -

                                Technical

                                -
                                • An understanding of statistical prediction, estimation and forecasting models
                                • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                                • An appreciation for advanced statistical approaches used to assess and address uncertainty
                                • +
                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                  +
                                • +
                                • Experience developing accessible technologies.
                                  +
                                -

                                -

                                What Is In It For You:

                                -
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • +
                                +
                                +

                                About the job

                                +

                                Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                +

                                Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                +
                                +
                                +

                                Responsibilities

                                +
                                  +
                                • Write product or system development code.
                                • +
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                  +
                                • +
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                  +
                                • +
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                  +
                                • +
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                  +
                                -

                                -

                                You’ll have fun. We do.

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-Contract-ON-M5H1H1/584423417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/343307681-manager-business-analyst-models-retail-and-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-Contract-ON-M5H1H1/584423417/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                +

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                +

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                +

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                +

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                +
                                +
                                ",,https://www.google.com/about/careers/applications/jobs/results/86101750351569606-software-developer-iii-aimachine-learning?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-09-28T18:56:51.858Z,False,0,15,74,https://talenthub.vectorinstitute.ai/jobs/339831182-software-developer-iii-ai-machine-learning-at-google,,expired,2024-08-29T15:58:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, fda976a6-9ba8-417b-94fa-2595783b5cef,267055081,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-05T02:24:03.216Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                @@ -125326,6 +126381,314 @@ e5b84719-1237-4af2-9cf9-dc0822ae9525,265451525,Ontario Brain Institute,Cloud Sys
                              • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

                              • Experience in developing and building communities for open source is considered an asset.

                              • ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=474393&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-11-18T17:39:22.777Z,False,0,10,135,https://talenthub.vectorinstitute.ai/jobs/281696765-manager-ai-engineering-at-vector-institute,,expired,2023-10-19T12:27:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Manager,Bachelors Degree,New Posting, +66789703-acc6-42bb-a70a-5519c5134162,267931741,TD Bank Group,Sr Advanced Analytics Mgr,on_site,"Toronto, ON",2023-09-07T16:23:07.441Z,"
                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Workplace Model

                                +
                                Hybrid
                                +

                                +

                                Pay Details

                                +

                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                +

                                +

                                Department Overview

                                +
                                +

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                +

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                +

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                +
                                +

                                +

                                Job Details

                                +
                                +

                                KEY ACCOUNTABILITIES
                                CUSTOMER

                                +
                                  +
                                • Lead team of Data professionals and provide day to day direction as needed
                                • +
                                • Accountable to lead team in developing powerful business insights from social marketing and industrial data using advanced machine learning techniques
                                • +
                                • Act as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
                                • +
                                • Work closely with business owners to identify opportunities and serve as an ambassador for data science
                                • +
                                • Lead and oversee the design and delivery of enterprise analytic solutions for customers
                                • +
                                • Work in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
                                • +
                                +

                                SHAREHOLDER

                                +
                                  +
                                • May provide analytical thought leadership and stay current on developments in data mining and the application of data science
                                • +
                                • May oversee build of complex statistical models that learn from and scale to petabytes of data.
                                • +
                                +

                                EMPLOYEE / TEAM

                                +
                                  +
                                • Responsible for management of the overall team(s) providing both leadership and guidance
                                • +
                                • Set targets and objectives for the team, and deliver results
                                • +
                                • Grow team expertise to align with enterprise demand and the Bank’s direction; assess team skills and capabilities and continually look for ways to provide and enhance the value delivered
                                • +
                                • Foster an environment / culture that encourages productivity, innovation, process improvement, teamwork and a high level of professionalism
                                • +
                                • Co-ordinate necessary resources to ensure completion by deadlines
                                • +
                                • Provide coaching, development, succession, recruitment, resource management and overall team leadership for team members and provide regular input into team members’ assessment of performance and development plans
                                • +
                                • Prioritize and manage own workload in order to deliver quality results and meet timelines
                                • +
                                • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                • +
                                • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
                                • +
                                • Establish effective relationships across multiple business and technology partners, program and project managers
                                • +
                                • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
                                • +
                                +

                                BREADTH & DEPTH

                                +
                                  +
                                • Oversee and lead a large and/or highly complex and diverse reporting function for an area of significant risk, complexity or scope
                                • +
                                • Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management / enterprise areas
                                • +
                                • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/ frameworks/ short to long term goals etc.)
                                • +
                                • Set operational team direction and collaborate with others to execute on common goals
                                • +
                                • Focus on longer-range planning for functional area (e.g. 12 months or greater)
                                • +
                                • Generally reports to business management executive
                                • +
                                +
                                +

                                +

                                Job Requirements

                                +
                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +
                                  +
                                • Undergraduate degree or technical certificate
                                • +
                                • 10+ years relevant experience
                                • +
                                • Advanced analytical and problem-solving skills
                                • +
                                • Ability to lead technical teams to drive solutions and enablement including data enablement
                                • +
                                • Fluent in one or two programming languages
                                • +
                                • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                • +
                                • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                • +
                                • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                • +
                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                • +
                                • Lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • +
                                • Strong communication skills and ability to work in a collaboration manner with cross functional teams
                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                #LI-Hybrid
                                +

                                +

                                Company Overview

                                +
                                +Our Values
                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                +

                                Making Your Well-being a Priority
                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                +

                                Our Total Rewards Package
                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                +

                                How We Work
                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                +

                                Who We Are
                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                +
                                +

                                +

                                Inclusiveness

                                +
                                +Our Commitment to Diversity, Equity, and Inclusion
                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                +

                                How We’re Helping Make an Impact in Communities
                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                +

                                Accommodation
                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                +

                                We look forward to hearing from you!

                                +
                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/19051362/sr-advanced-analytics-mgr-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-18T16:30:02.998Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/267931741-sr-advanced-analytics-mgr-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19051362/sr-advanced-analytics-mgr-toronto-ca/,expired,2023-09-07T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e5b84719-1237-4af2-9cf9-dc0822ae9525,265451525,Ontario Brain Institute,Cloud Systems Engineer,hybrid,"Toronto, ON, Canada",2023-08-31T20:20:23.329Z,"

                                Make a difference in brain research and innovation in Ontario   

                                +

                                The Ontario Brain Institute (OBI) is a provincially‐funded, not‐for‐profit initiative seeking to maximize the impact of neuroscience and establish Ontario as a world leader in brain discovery, commercialization and care. Convergent partnerships are created between researchers, clinicians, industry, patients, and their advocates to foster discovery and deliver innovative products and services that improve the lives of those living with brain disorders.   

                                +

                                The OBI is passionate about the outcomes of its work, the people and organizations it partners with, and the opportunity to play a role in shaping the future. Its members are united in the common goal to improve brain health. The culture is fast-paced, challenging and rewarding.   

                                +

                                If you are interested in joining the OBI team, please check out the employment opportunities at: http://www.braininstitute.ca/opportunities

                                +

                                +

                                Cloud Systems Engineer - 1 Position

                                +

                                OBI is looking for an experienced Cloud Systems Engineer to join its neuroinformatics team. This role will play a key part in supporting OBI related research projects that produce, share, and analyze high quality neuroscience data to advance neuroscience and brain discoveries via Brain-CODE. Brain-CODE is OBI’s large scale neuroinformatics platform for the collection, curation, sharing, and analysis of neuroscience data.

                                +

                                +

                                The ideal candidate will have a passion for advancing neuroscience informatics (neuroinformatics) via the adoption and scaling of advanced and secure cloud architectures, data systems, computing systems, and network systems. Candidates should have significant experience implementing and managing cloud systems architectures, infrastructure, cloud frameworks, deployment and support, preferably with experience in the health research ecosystem or similar.

                                +

                                +

                                This position will be a great opportunity for the successful candidate to develop their cloud operations, security and management of cloud IaaS and PaaS services. This opportunity will also be a chance to collaborate with national and international partners, and significantly participate in supporting the advancement of brain discovery and innovation for health impact.

                                +

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Lead technical cloud infrastructure and platform layers for health research data storage, sharing, and analysis on Microsoft Azure cloud and connected computing environments.
                                • +
                                • Implement best-in-class cloud networking, firewalls, VPNs to enforce robust cybersecurity measures and ongoing systems logging and monitoring.
                                • +
                                • Implement and support cloud storage and backup and recovery infrastructure via object stores, databases, and file systems in accordance with OBI cloud informatics guidelines.
                                • +
                                • Manage and support cloud resources, storage, and computing instances, analytics instances, in accordance with robust policies and standard operating procedures (e.g., ISO/IEC 27001, NIST, etc.).
                                • +
                                • Implement and support scalable private cloud and public cloud infrastructure and platforms.
                                • +
                                • Manage and support cloud IAM infrastructure, cloud administrative accounts, and integration services.
                                • +
                                • Support security assessments, change management and implement contingency plans for system upgrades and providing impact analysis and recommendation for system updates.
                                • +
                                • Support the updating and development of OBI cloud security guidelines and Standard Operating Procedures (SOPs) as required.
                                • +
                                • Operate cloud resource budgets with due diligence and planning.
                                • +
                                • Collaborate with third-party DevOps and Security providers, Microsoft Azure partners, and other third-party partners to advance neuroinformatics objectives.
                                • +
                                • Collaborate and support OBI service providers with systems access and services deployments.
                                • +
                                • Work closely with the OBI neuroinformatics team and service providers with agility and adapt to ongoing requirements changes.
                                • +
                                • Keep abreast of and communicate cloud platforms and infrastructure technology and security standards, cloud trends and innovation opportunities.
                                • +
                                +

                                +

                                Skills & Qualifications:

                                +
                                  +
                                • 5 to 7+ years' experience with preference given to candidates with health research cloud systems experience. Relevant MSc or PhD, an asset.
                                • +
                                • Demonstrated knowledge and experience with Azure Cloud computing systems management, deployment, monitoring, migration, and support – certifications in Azure Solutions Architecture, Administrator, and Security Engineer or similar cloud systems and security certification(s) are major assets.
                                • +
                                • Proven ability to adopt agile methodology and proficiency in cloud system optimization and tuning (Virtual Machines, load balancing, Kubernetes, Azure App Services, Azure Storage, etc).
                                • +
                                • Demonstrated experience working with sensitive data and implementing robust security postures, policies, and procedures including systems monitoring, backups, intrusion detection, intrusion response, and disaster recovery.
                                • +
                                • Demonstrated knowledge and experience working with authentication protocols, ACL rules, and Identity Management mechanisms including federated identity applications and management (e.g., Azure AD, SAMBA, OAuth, etc.).
                                • +
                                • Experience with CLI based cloud management and orchestrating infrastructure as code (az-cli, bicep, terraform, etc.).
                                • +
                                • Strong knowledge of network principles and protocols, network security, and application and user access patterns, such as IP subnetting, routing, firewall rules, VPNs, Virtual Private Cloud, load balancers, cloud DNS, cloud CDN, etc.
                                • +
                                • Robust understanding of cloud data and application layers for staging databases, applications, containers, and data storage services on Microsoft Azure.
                                • +
                                • Experience operating with cloud resource budgets, quotas, and support.
                                • +
                                • Ability to derive cloud applications and data management insights and innovation without compromising robustness, usability, and efficiency.
                                • +
                                • Possesses excellent analytical and problem resolution skills.
                                • +
                                • Excellent communication skills and English proficiency with a willingness to teach and share lessons learned with the neuroinformatics team.
                                • +
                                • Excellent autonomy along with great collaboration skills.
                                • +
                                • A strong desire to make an impact in brain discovery and patient health.
                                • +
                                +

                                +

                                The Cloud Systems Engineer will work alongside the Cloud Application Engineer, the Data Quality Analysts, the informatics service providers to OBI, and the broader neuroinformatics team.

                                +

                                +

                                We are a diverse, highly energized, passionate, professional and committed team. We offer an exciting workplace with many opportunities for learning. Qualified candidates are invited to submit a cover letter and resume, by September 10, 2023.

                                +

                                +

                                We thank all applicants for their interest; however, only those selected for an interview will be contacted.

                                +

                                +

                                Ontario Brain Institute is committed to providing accommodations for applicants at any stage of the recruitment and hiring process in accordance with Ontario Brain Institute policy, the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Should you require accommodation, please notify us and we will work with you to provide appropriate accommodations.

                                ",,https://obi.bamboohr.com/careers/65,aitalent@vectorinstitute.ai,,,,2023-09-19T03:14:00.000Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/265451525-cloud-systems-engineer-at-ontario-brain-institute,,expired,2023-08-31T20:20:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Masters Degree,New Posting, +382b4b9f-aae5-42fc-bf15-c9feced5a203,267056355,TELUS,Technology Architect - Responsible AI,on_site,"Ontario, Canada",2023-09-05T02:25:02.638Z,"
                                +
                                +

                                +
                                +

                                +

                                Join our team and what we’ll accomplish together

                                +

                                +

                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Technology Architect, Responsible AI, reporting to the Director of Data Ethics, you will work with a cross-functional group focused on enabling a framework for responsible use of artificial intelligence (Ai) and guide the development of AI, data-driven products and services in accordance with ethical principles.

                                +

                                +

                                You will be a champion for responsible AI across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to responsible AI will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data. This will help our business to implement AI solutions that not only perform well, but also operate ethically and responsibly, benefiting society as a whole.

                                +

                                +

                                What you’ll do

                                +

                                +
                                  +
                                • Collaborating with cross-functional teams to develop and implement AI solutions in accordance with the TELUS’ Trust Model and data ethics framework
                                • +
                                • Advising on how responsible AI can serve as an enabler for business program operations and assist with the deployment of responsible AI across the organization
                                • +
                                • Developing and implementing testing and validation protocols to ensure AI systems are working as intended
                                • +
                                • Conducting research and staying up-to-date with the latest developments in AI ethics and responsible AI practices
                                • +
                                • Supporting the development of a TELUS’ framework for responsible AI in line with emerging leading practices
                                • +
                                • Integrating responsible AI into processes to support agile development methodology
                                • +
                                • Educating and advising business units on existing or new techniques, and providing innovative strategies and creative solutions to implement responsible AI
                                • +
                                • Participating in industry-wide efforts to advance responsible AI practices and standards
                                • +
                                +

                                +
                                +
                                +
                                +

                                +
                                +

                                +

                                What you bring

                                +

                                +
                                  +
                                • Demonstrated track record of providing subject matter expertise embedding responsible AI into product and services while delivering on measurable outcomes in a highly complex stakeholder environment
                                • +
                                • Demonstrated working knowledge or understanding of responsible AI fundamentals (e.g. differential privacy, federated learning, adversarial testing, etc.) and machine learning pipelines
                                • +
                                • Familiarity with statistics, algorithms, and machine learning tools to analyze and evaluate fair and ethical AI, including generative AI
                                • +
                                • Passionate about responsible AI and the imperative to use data to solve big and small problems
                                • +
                                • Keen to explore new and creative solutions to change the trajectory of persistent challenges and motivated to bring those solutions to life
                                • +
                                • Appreciated for your excellent interpersonal and problem solving skills, and your ability to distill complex and/or ambiguous problems into clear, actionable requirements
                                • +
                                • Known for your ability to influence and negotiate effectively, to be a persuasive advocate, and known for your conflict resolution skills with a focus on win-win solutions
                                • +
                                • Sought out for excellent communication skills, verbal & written, with the ability to present information at all levels of the organization and leadership forums
                                • +
                                • 3-5 years experience in responsible AI
                                • +
                                • Post-secondary degree in computer science, computer engineering, information systems, ethics, or related field of study
                                • +
                                +

                                +

                                Great-to-haves

                                +

                                +
                                  +
                                • Experience with the development, design, and architecture of IT technology, data management, and data integration processes
                                • +
                                • Experience with design for software applications running on multiple platforms
                                • +
                                • Experience with web architecture and the privacy and security model of the web
                                • +
                                • Bilingual in French & English, verbal and/or written
                                • +
                                • Certification in Privacy (e.g., CDPSE, CIPT, CIPM, CIPP certification)
                                • +
                                +

                                +

                                Location: Any major Canadian city

                                +

                                DTOJOBS2023

                                +

                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-Technology-Architect-Responsible-AI-ON/573632817/,feed-importer@jobboard.io,,,,2023-10-05T17:16:55.303Z,False,0,6,55,https://talenthub.vectorinstitute.ai/jobs/267056355-technology-architect-responsible-ai-at-telus,,expired,2023-09-05T02:25:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +6e237a8d-7990-420f-92d6-e80870adb9d5,267931740,TD Bank Group,"Manager, Advanced Analytics (Quants)",on_site,"Toronto, ON",2023-09-07T16:23:07.110Z,"
                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Workplace Model

                                +
                                Hybrid
                                +

                                +

                                Pay Details

                                +

                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                +

                                +

                                Department Overview

                                +
                                The Treasury and Balance Sheet Management (TBSM) department of TD Bank manages TD’s non-trading market risk, liquidity risk, capital, investment portfolios, wholesale funding programs, pension plans, and transfer prices funds to the businesses. The Treasury Modelling and Stress Testing team in TBSM is responsible for ensuring appropriate quantitative methodologies and estimation approaches are in place to support Treasury and Balance Sheet Management as well as to advance the use of enhanced models and data-driven analytics to support the allocation of scarce financial resources (capital, liquidity, and funding) and improve decision making. Within the Treasury Modelling team, the Modeling Analytics and Development group supports the valuation and hedging of various bank products and option exposures in the Banking Book.
                                +

                                +

                                Job Details

                                +
                                The position reports to Senior Manager, Treasury Modelling team group within TBSM. Detailed accountabilities include:

                                +
                                  +
                                • Develop rapid prototype for quantitative valuation/risk models for measuring and hedging the interest rate risk of retail, commercial and structured finance products in the Banking book.
                                • +
                                • Perform advanced portfolio analysis to understand the risk drivers and model performance for various downstream use cases.
                                • +
                                • Support and maintain the Canoe Aggregator models used by TBSM for Asset Liability Management purposes, including its change management, finding closures, ongoing performance monitoring and methodology document update.
                                • +
                                • Research industry best practices for measuring and hedging the Interest Rate Risk in the Banking Book (IRRBB) and address model validation, audit and regulatory requirements and/or findings in a timely manner. Good understanding of best practice in model governance, implementation standards, system change control process.
                                • +
                                • The position must work effectively with internal and external partners of TBSM, including Fund Transfer Pricing, Market Risk Measurement and Reporting Team, the Treasury Analytics Group, and the Model Validation and Management Team, to ensure the soundness and accuracy of the model development and implementation.
                                • +
                                +
                                +

                                +

                                Job Requirements

                                +
                                  +
                                • Strong quantitative skills with a graduate degree in one or more of the following areas: statistics, economics, and mathematics, with at least 5 of experience in quantitative analysis / financial engineering.
                                • +
                                • Knowledge of financial markets as well as fixed income portfolio management and hedging techniques and valuation models.
                                • +
                                • Experience in model development or validation with an advanced knowledge of stochastic processes and fixed income and asset backed securities modelling an asset.
                                • +
                                • Solid skills in C++/C#, VBA programming and Microsoft Office tools (Excel, Word, PowerPoint)
                                • +
                                • Strong analytical & communication skills, and demonstrated track record of creative problem solving & solution development
                                • +
                                +

                                +

                                Company Overview

                                +
                                +Our Values
                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                +

                                Making Your Well-being a Priority
                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                +

                                Our Total Rewards Package
                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                +

                                How We Work
                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                +

                                Who We Are
                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                +
                                +

                                +

                                Inclusiveness

                                +
                                +Our Commitment to Diversity, Equity, and Inclusion
                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                +

                                How We’re Helping Make an Impact in Communities
                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                +

                                Accommodation
                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                +

                                We look forward to hearing from you!

                                +
                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/19048840/manager-advanced-analytics-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-07T18:22:02.112Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/267931740-manager-advanced-analytics-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19048840/manager-advanced-analytics-quants-toronto-ca/,expired,2023-09-07T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +04aa905c-02e3-4a64-b4f7-239b1feef2fc,281696765,Vector Institute,"Manager, AI Engineering",on_site,"Ontario, Canada",2023-10-19T12:27:02.340Z,"

                                JOB DESCRIPTION

                                +

                                AI Engineering Manager

                                +

                                About AI Engineering at Vector:

                                +

                                +

                                Vector’s AI Engineering team enables researchers and partners in industry, health, and government to accelerate AI deployments that have the potential to unlock transformative benefits.

                                +

                                Vector’s growing team of applied machine learning experts provide guidance, expertise, and tailored software tools to support Vector’s partners in collaborative projects through their robust technological and deep learning expertise and extensive compute capacity.

                                +

                                AI infrastructure and engineering expertise housed in the AI Engineering team enables world-leading Vector-affiliated researchers to conduct and advance their experiments, pushing the frontiers of AI innovation.

                                +

                                Position Summary:

                                +


                                As the AI Engineering Manager, you will play a pivotal role in leading cutting-edge AI software development at Vector Institute. You will have the opportunity to manage a team of highly skilled AI developers and collaborate with some of the brightest minds in machine learning research to ensure successful technology transfer to industry sponsors and partner institutions.

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Lead and manage the development of Vector\'s innovative AI software, machine learning reference implementation, and facilitate its transfer to industry sponsors and other key stakeholders.

                                • +
                                • Build and lead a diverse and highly skilled team of 7-12 AI developers, who consistently deliver on commitments to researchers, sponsors, and partners.

                                • +
                                • Be responsible for building AI Engineering organization and career growth of your team members.

                                • +
                                • Work with Vector researchers to identify promising AI technologies for reusable software.

                                • +
                                • Manage a portfolio of engineering projects that includes prototype, platform, and infrastructure software development, while also upskilling developers and researchers on recent open source and proprietary AI system developments.

                                • +
                                • Collaborate with internal stakeholders to manage applied engineering and product management for industrial use across various sectors.

                                • +
                                • Successfully complete sponsor and partner projects, and ensure timely completion of AI software development initiatives and AI computing facility projects within budget.

                                • +
                                • Provide face-to-face consulting to industry sponsors on applying AI to their organizations, computing, and products.

                                • +
                                • Develop and deliver a professional development program for technical staff to enable them to effectively identify and execute AI applications for business problems.

                                • +
                                • Identify and develop intellectual property for the benefit of Vector resources and partner organizations.

                                • +
                                • Perform other technical and leadership functions as needed to support Vector\'s vision, mission, and strategic objectives.

                                • +
                                +

                                Key Success Measures:

                                +
                                  +
                                • The AI Development team at Vector is fully staffed, effective, and successful in fulfilling commitments to stakeholders.

                                • +
                                • Internal and external clients are able to identify and leverage Vector\'s engineering supports to maximize AI-based innovation, growth, and productivity.

                                • +
                                • Sponsor project groups and professional development courses have access to AI computing opportunities that upskill industry sponsor personnel, adding direct value to participation in Vector projects and courses.

                                • +
                                +

                                Profile of the Ideal Candidate:

                                +
                                  +
                                • Minimum of 3 years of experience managing teams that deliver high-quality ML software, with experience across multiple industries as an asset.

                                • +
                                • 6+ years of hands-on experience in applied machine learning, ML Engineering, and/or software engineering.

                                • +
                                • Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline, with MSc/MEng preferred.

                                • +
                                • Demonstrated experience in MLOps, ML-based software design and architecture.

                                • +
                                • Demonstrated experience in applying machine learning research to novel problems and datasets.

                                • +
                                • Demonstrated experience in machine learning and/or statistics.

                                • +
                                • Demonstrated software engineering background with experience in production deployment.

                                • +
                                • Demonstrated data engineering background working with real-world data.

                                • +
                                • Strong knowledge and experience in Python.

                                • +
                                • Experience with parameter and architecture tuning of deep learning algorithms preferred.

                                • +
                                • Experience in leading open source deep learning software frameworks (PyTorch,JAX, Tensorflow, and CUDA).

                                • +
                                • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

                                • +
                                • Experience in developing and building communities for open source is considered an asset.

                                • +
                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=474393&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-11-18T17:39:22.777Z,False,0,10,135,https://talenthub.vectorinstitute.ai/jobs/281696765-manager-ai-engineering-at-vector-institute,,expired,2023-10-19T12:27:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Manager,Bachelors Degree,New Posting, 6f91609c-040c-4759-8fe4-14c058a431f4,286549897,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-11-09T12:29:03.805Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                @@ -127904,197 +129267,6 @@ d6a2bd6d-2ab5-4b84-8ac3-b3d1ee0b91a4,285132373,Scotiabank,"Manager, Model Develo

                                • Post-Secondary education completed. Advanced degree preferred but not mandatory
                                • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                                • Reporting/BI tools experience

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Regulatory-Governance%2C-CID&A-Strategic-Support-ON-M5H1H1/575413617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,1,33,https://talenthub.vectorinstitute.ai/jobs/285132407-manager-regulatory-governance-cid-a-strategic-support-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Regulatory-Governance%2C-CID&A-Strategic-Support-ON-M5H1H1/575413617/,expired,2023-11-02T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -69bce2e6-add9-4a59-a2b8-f02a2e85a979,286584260,Scotiabank,"Senior Manager, Deposits Analytics (Deposits Product Management) - Tangerine",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-11-09T16:24:02.792Z,"

                                -

                                -

                                Requisition ID: 187837

                                -

                                Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                                -

                                -

                                As Canada’s leading digital bank, Tangerine technology is at the heart of everything we do. We have redefined what digital banking is, and we continue to evolve to tackle any opportunity and face every challenge through progressive technology and the power of collaboration.

                                -

                                -

                                Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

                                -

                                -

                                What you will be doing:

                                -

                                -

                                As the Senior Manager, you will lead and contribute to the success of the Deposits Product Management team at Tangerine Client Solutions in Canada, ensuring business strategies, plans and initiatives are executed and delivered in compliance with governing regulations, internal policies and procedures.

                                -

                                -

                                Is this role right for you? In this role, you will:

                                -

                                -
                                • Drives the focus on Revenue Optimization & Pricing Analytics for the Tangerine Deposits portfolio in close collaboration with cross-functional teams to develop business decision modelling and strategic roadmaps for customer acquisition, growth, engagement and retention.
                                • Leads and develops business cases with market sizing, scenario analyses, as well as strong partner-relationships in support of gaining organizational buy-in and the necessary resources to design and assess product development or innovations.
                                • Leads the portfolio deep-dives, product economics, and profitability valuation for Deposits, leveraging a variety of statistical techniques to drive strategic problem-solving and long-term recommendations for business growth, highlighting risks, opportunities to support action plans.
                                • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
                                • -
                                -

                                -

                                Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                -

                                -
                                • University Degree in Mathematics or Statistics
                                • 3-5 years of product management experience
                                • Experience with advanced analytics tools (R, SAS, SQL etc.) along with MS Excel and access–including excel regression functions, VBA; experience with GCP/ Big query is a plus
                                • Strong quantitative and qualitative analytical skills; excellent communicative ability to frame results of analyses
                                • Ability to thrive in an ultra-fast paced environment; adaptable and flexible when responding to deadlines
                                • Ability to synthesis complex information clearly and simply to a broad audience- excellent communication skills (verbal & written)
                                • Strong business acumen and strategic thinking capacity Experience winning business case approval and following through to successful implementation
                                • Thorough understanding of deposit product, key success factors and the regulatory environment surrounding them
                                • -
                                -

                                -

                                -

                                What's in it for you?

                                -
                                • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
                                • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
                                • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
                                • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
                                • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
                                • -
                                -

                                -

                                *Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

                                -

                                -

                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                -

                                At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                                ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Deposits-Analytics-%28Deposits-Product-Management%29-Tangerine-ON-M2H0A1/575585717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,1,84,https://talenthub.vectorinstitute.ai/jobs/286584260-senior-manager-deposits-analytics-deposits-product-management-tangerine-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Manager%2C-Deposits-Analytics-%28Deposits-Product-Management%29-Tangerine-ON-M2H0A1/575585717/,expired,2023-11-09T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -8e7cd6cd-bc24-453a-8fbd-46df08de3b65,285961344,Scotiabank,"Manager, Enterprise Data Management- Hybrid",on_site,Canada : Ontario : Toronto,2023-11-06T16:24:02.902Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 187829

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The Team
                                Leads and oversees Finance Data Management Data Services team within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada

                                -

                                -

                                The Role
                                As a Manager of Meta Data you are required to liaise with finance business analysts to assess chart of accounts(CoFA) requirements, accounting (Statutory & Regulatory Trees), new business initiatives and chart of accounts requirements, ledger migrations. The individual must thrive on challenge, has a penchant for data analytics, be proactive, and demonstrate initiative and eagerness to learn.

                                -

                                -

                                Some of the key accountabilities include:
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                • Work with data platforms such as OFSAA/OBIEE
                                • Design data chart of account models for proof of concept
                                • Automate some of the operational tasks
                                • New data pipeline integration
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Champions a high performance environment and contributes to an inclusive work environment.

                                -

                                -

                                What You Will Bring to Succeed

                                -

                                • 2+ years of experience with Accounting policy/ Finance roles dealing with financial statements
                                • Understanding the ledger and the CoFA design
                                • Basic SQL/ACL knowledge for automation
                                • CPA/University degree (Mathematics & Accounting)

                                -

                                -

                                The Workplace
                                • We are technology partners who help the business transform how our employees around the world work
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                • We foster an environment of innovation and continuous learning
                                • We care about our people, allowing them to design how they work to deliver amazing results
                                • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                -

                                -

                                Scotiabank
                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                -

                                -

                                Is this Role not the Exact fit?
                                Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                -

                                #scotiatechnology #LI- Hybrid

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Data-Management-Hybrid-ON-M5H1H1/575455917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,1,132,https://talenthub.vectorinstitute.ai/jobs/285961344-manager-enterprise-data-management-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Data-Management-Hybrid-ON-M5H1H1/575455917/,expired,2023-11-06T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f735ef89-a7e7-41b0-af87-089a55475801,290414481,Scotiabank,Data Strategy Lead - (8) CID&A,on_site,Canada : Ontario : Toronto,2023-11-23T16:24:02.251Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 188678

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                - -

                                Purpose

                                The Data Strategist Lead role, Scotia Digital Analytics is part of the Corporate Functions Analytics team and is responsible to oversee Digital Data Strategy, Insights, and Analytics for Several Digital Sales and Enablement Customer Journeys (eCommerce, Product Onboarding, Communication & Identity/Authentication) in Canada. Data strategies shall set the Key Performance indicators for the program, ensures the appropriate data is captured and enables product owners with easy-to-interpret data products. The lead shall derive insights out of data and apply them to analytics and recommendations to address business opportunities.

                                Leads and oversees Customer Insights, Data & Analytics for Scotia Digital in Canada ensuring business strategies, plans, and initiatives are executed/delivered in compliance with governing regulations, internal policies, and procedures.

                                Accountabilities

                                • Leads and drives a customer-focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • -Develop Strategic partnership to coordinate and implement data-driven strategies
                                  • Partner with stakeholders to translate their business strategies and needs into data strategies, and analytics roadmaps.
                                  • Coordinate with other analytics teams, data office, technology, security, and compliance to deliver performance measurement, and analytics solutions.
                                  • Work collaboratively with product owners, data engineers, and, UX designers to develop a sound data strategy for each digital customer journey, taking into consideration Scotia Digital’s strategic priorities
                                  • Proactively address reoccurring issues and impediments to avoid recurrence.
                                • -Facilitate the creation and promote usage of data products and customer-centric solutions that drive business value
                                  • Proactively identify and promote analytics solutions to address business opportunities or improve customer experience.
                                  • Anticipate the analytics or data needs of stakeholders and provide tactics and solutions to address needs and opportunities.
                                • -Present performance results and analytics solutions to executive-level business line stakeholders.
                                  • Become a subject matter expert in the digital customer journeys; Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                  • Collaborate with business partners, ascertaining that all performance measurement and data requirements are flagged, addressed, and incorporated.
                                  • Represent analytics in steering committees and executive engagements to present performance results and provide data-informed recommendations.
                                • -Foster a Data-driven culture
                                  • Liaise with product owners and technical teams to identify new sources of data to drive business innovation throughout the system.
                                  • Enable product and design teams to be able to read, interpret and understand findings.
                                  • Prepare and deliver workshops or education on data literacy, data and dashboard interpretation.
                                • -Team Development
                                  • Lead a team of data strategists and data scientists to effectively champion data-driven decision-making with business stakeholders.
                                  • Build trust amongst the team, providing coaching and constructive feedback.
                                  • Conduct performance reviews providing performance feedback and development opportunities to individual contributors.
                                  • Manage team effectiveness, analyze performance metrics, and adjust focus as needed.
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

                                Education/Experience

                                • 8+ years of experience with data management, performance measurement and stakeholder management
                                • University degree in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                                • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
                                • Proficient in one or more statistical programming languages (eg. Python, R) and have practical experience with data science tools and libraries
                                • Experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
                                • Experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
                                • Experience using and implementing visualization tools like Power BI, Tableau or QlikView
                                • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
                                • Excellent analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings;
                                • Ability to manage opportunities –identifying them and helping drive their implementation
                                • Strong project management and communication skills (both oral and written).
                                • Knowledge of banking products and reporting systems, including finance systems
                                • Experience leading a team, coaching, or mentoring junior team members
                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategy-Lead-%288%29-CID&A-ON-M5C2V9/575922317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,1,31,https://talenthub.vectorinstitute.ai/jobs/290414481-data-strategy-lead-8-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategy-Lead-%288%29-CID&A-ON-M5C2V9/575922317/,expired,2023-11-23T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -7f66b686-e199-4267-9212-b0ae5f60ac93,287522716,BMO Financial Group,"Manager, Enterprise Risk Reporting",on_site,"Ontario, Canada",2023-11-13T12:19:02.624Z,"
                                -

                                Application Deadline:

                                11/29/2023

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                - -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Enterprise-Risk-Reporting_R230019460?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-30T12:24:01.769Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/287522716-manager-enterprise-risk-reporting-at-bmo-financial-group,,expired,2023-11-13T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -747cd31a-331d-4ce4-923d-03e1aa584f15,285099646,Vector Institute,"Director, Health AI Implementation (13 Month Contract)",on_site,"Ontario, Canada",2023-11-02T12:28:02.273Z,"

                                POSITION DESCRIPTION

                                -

                                -

                                -

                                POSITION SUMMARY

                                -

                                -

                                (13 Month Contract)

                                -

                                Reporting to the Chief Data Officer & Vice President, Health, the Director, Health AI Implementation will lead design and implementation of health AI deployment projects at the pilot and provincial expansion levels to translate Vector Health AI research into clinical environments and practice. The Director will provide strategic leadership for the portfolio and will also be responsible for tactical, on-the-ground work to ensure successful deployment and clinical capacity that incorporates health AI technologies into practice.

                                -

                                -

                                KEY RESPONSIBILITIES

                                -

                                -
                                  -
                                • Identify, cultivate, and implement health AI deployment projects in partnership with health sector organizations and Vector researchers;
                                • -
                                • Collaboratively engage health service providers in research planning and design, and as knowledge users and champions to drive implementation initiatives;
                                • -
                                • Co-lead development of machine learning operations tools with Vector’s AI Engineering team to enable trustworthy and safe health AI deployment;
                                • -
                                • Lead knowledge mobilization and capacity building activities to support health AI deployment in the sector;
                                • -
                                • Develop a pipeline for potential health AI implementation projects and partnerships;
                                • -
                                • Develop and implement criteria for project and partner selection, prioritization, and evaluation;
                                • -
                                • Identify and showcase health AI application exemplars from across the health system to build increased awareness of, and interest in, health AI application;
                                • -
                                • Contribute to development and implementation of Vector Health strategic/operational plans and budgets; and,
                                • -
                                • Other related duties as assigned.
                                • -
                                -

                                -

                                KEY SUCCESS MEASURES

                                -

                                -
                                  -
                                • Successful Health AI research deployment within the Ontario health system
                                • -
                                • Measurable improvements in health AI knowledge and adoption amongst health service providers
                                • -
                                • Expansion of Health AI research deployment across Ontario hospitals and health service providers
                                • -
                                • Internal and external stakeholder feedback is such that the Vector Health team provides high-quality service and support through effective working relationships.
                                • -
                                -

                                -

                                PROFILE OF THE IDEAL CANDIDATE

                                -

                                -
                                  -
                                • Holds, at minimum, a graduate degree in a business, health, technical, or related field;
                                • -
                                • Minimum five years of experience successfully managing all aspects of large-scale implementation projects (scoping, planning, stakeholder relations, implementation, monitoring, and project closure) to translate health research into clinical practice and/or policy;
                                • -
                                • In-depth knowledge of the complexities of the Ontario healthcare system and the challenges of implementing practice change with limited resources;
                                • -
                                • An understanding of the nature of health AI research and its potential to improve health services;
                                • -
                                • Adept at working with multi-disciplinary stakeholders, prioritizing conflicting needs, managing limited resources, handling matters expeditiously, and following through on tasks to successful completion;
                                • -
                                • Possesses exceptional verbal and written English communication skills; effective in presenting to a diverse set of stakeholders from the business, health, and technology ecosystem;
                                • -
                                • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and motivated by continuous learning and the desire to make a difference and a real contribution to health AI.
                                • -
                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=474968&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-12-02T19:36:10.346Z,False,0,7,76,https://talenthub.vectorinstitute.ai/jobs/285099646-director-health-ai-implementation-13-month-contract-at-vector-institute,,expired,2023-11-02T12:28:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Director,Masters Degree,New Posting, 259ff4f7-c985-4c1a-9277-f763162994ac,285136514,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-11-02T16:29:04.564Z,"
                                We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of like-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. @@ -133982,44 +135154,179 @@ cff8a5ad-9b1d-413f-a615-b15daad7eb60,342351745,BMO Financial Group,"First Nation
                              • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                              • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                              • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                              • -
                              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                              • -
                              • Exercises judgment to identify, diagnose, and solve problems within given rules.
                              • -
                              • Works independently on a range of complex tasks, which may include unique situations.
                              • +
                              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                              • +
                              • Exercises judgment to identify, diagnose, and solve problems within given rules.
                              • +
                              • Works independently on a range of complex tasks, which may include unique situations.
                              • +
                              • Broader work or accountabilities may be assigned as needed.
                              • + +

                                +

                                Qualifications:

                                +

                                Foundational level of proficiency:

                                +
                                  +
                                • Deep learning.
                                • +
                                • Machine learning.
                                • +
                                • Trust, bias and ethics.
                                • +
                                • Creative thinking.
                                • +
                                • Critical thinking.
                                • +
                                +

                                Intermediate level of proficiency:

                                +
                                  +
                                • Mathematics, statistics & operations research.
                                • +
                                • Big data.
                                • +
                                • Data visualization.
                                • +
                                • Computational thinking and programming.
                                • +
                                • Data wrangling.
                                • +
                                • Data preprocessing.
                                • +
                                • Complex problem solving.
                                • +
                                • Analytical acumen.
                                • +
                                • Creative reasoning.
                                • +
                                • Verbal & written communication skills.
                                • +
                                • Collaboration & team skills.
                                • +
                                • Analytical and problem solving skills.
                                • +
                                • Influence skills.
                                • +
                                • Data driven decision making.
                                • +
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • +
                                • Technical proficiency gained through education and/or business experience.
                                • +
                                +
                                +

                                +

                                Salary:

                                +
                                $65,400.00 - $121,800.00

                                +

                                Pay Type:

                                Salaried

                                +

                                The above represents BMO Financial Group’s pay range and type.

                                +

                                +

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                +

                                +

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/First-Nations---Inuit---Mtis---Senior-Analyst--Data---Analytics_R240021062?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-24T08:23:01.871Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/342351745-first-nations-inuit-metis-senior-analyst-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +24857392-1322-4909-b06d-f019ba766fc8,335820045,Deloitte,"Senior Associate, Analytic Insights",on_site,"Ontario, Canada",2024-07-29T16:35:02.752Z,"

                                +

                                Job Type: Permanent
                                Reference code: 126526
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON; Burlington, ON; Kitchener, ON; Ottawa, ON

                                +
                                +

                                +

                                Our Purpose

                                +

                                +

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                +

                                +

                                By living our Purpose, we will make an impact that matters.

                                +
                                • Partner with clients to solve their most complex problems
                                • Be expected to share your ideas and to make them a reality.
                                • Play a leading role in solving complex finance business challenges through data exploration and analytics
                                • +
                                +
                                +
                                +
                                +

                                --

                                +
                                +

                                +

                                Our Mission is to Lead the Canadian market in delivering data driven insights and analytic solutions to help clients increase stakeholder value in their defining moments.

                                Are you a team-player who likes to collaborate and contribute to the mission and success of a broader like-minded team? Is the prospect of furthering a culture of inspiring and empowering our people, fixating on client value, and innovating toward a data/etch enable future exciting for you? Then this job is perfect for you!

                                +
                                +
                                +
                                +

                                What will your typical day look like?

                                +
                                +

                                +

                                As a Senior Associate you will work in a fast growing and challenging environment with like-minded people who are eminent in their respective technical fields such as Data Mining, Machine Learning, Data Visualization, and much more. You will experience the growth of a practice totally dedicated to the art and science of using data to help clients drive business decisions related to mergers and acquisitions as well as value creation / business improvement initiatives. You will continue your professional development to expand your chosen career path while working with high profile clients who need analytics support for their top priority initiatives and strategies.

                                +


                                You will develop advanced analytical solutions within our analytics team, across service lines at Deloitte, and with clients in multiple industries.

                                +
                                +
                                +
                                +

                                About the team

                                +
                                +

                                +

                                Deloitte’s Analytic Insights team transforms data into actionable insights - to support strategic decisions that amplify stakeholder value. The team focuses on three business areas to drive value for clients: i) Leverage analytics to generate deeper data-driven insights and optimize decisions across the M&A cycle, ii) Analytics for operational efficiency, to drive productivity and cost control, and iii) Advanced analytics to identify opportunities for profitable revenue growth. Our team is comprised of a mix of deep technical expertise in the statistical and analytics fields and business professionals with the experience to leverage insights to drive business decisions.

                                +
                                +
                                +
                                +

                                Enough about us, let’s talk about you

                                +
                                +

                                +
                                • Sound understanding of data architecture and advanced SQL knowledge with an expertise in creating and maintaining data pipeline, integrating large complex data sets from various sources to meet business requirements;
                                • 3 + years of work experience in an analytical occupation (Business Analyst, Data Analytics, Data Engineering, Data Science, etc.) developing ETL, data analysis, and insights presentation;
                                • Objective, flexible and curious - focused on solving business problems and delivering data-driven analytical solutions on our client’s objectives;
                                • Superior verbal and written communication skills with experience communicating the results of your analysis to business executives;
                                • Completed undergraduate degree in a quantitative discipline (Math, Commerce, Economics, Data Science, Business, Computer Science, Engineering, etc)
                                • +
                                +
                                +
                                +
                                +

                                Total Rewards

                                +


                                The salary range for this position is $75,000 - $113,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                +
                                +
                                +

                                +

                                Our promise to our people: Deloitte is where potential comes to life.

                                +

                                +

                                Be yourself, and more.

                                +

                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                +

                                You shape how we make impact.

                                +

                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                +

                                Be the leader you want to be

                                +

                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                +

                                Have as many careers as you want.

                                +

                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                The next step is yours

                                +

                                +

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                +

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                +

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                +

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-Analytic-Insights-ON/1175985400/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-08-08T16:40:02.842Z,False,0,11,51,https://talenthub.vectorinstitute.ai/jobs/335820045-senior-associate-analytic-insights-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-Analytic-Insights-ON/1175985400/,expired,2024-07-29T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +2e4a7513-36c6-4c52-8048-3b2b9993329c,337232256,BMO Financial Group,BMO Senior Manager -Anaplan Financial Data Analytics,on_site,"Ontario, Canada",2024-08-08T07:37:01.969Z,"
                                +

                                Application Deadline:

                                08/08/2024

                                +

                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                +
                                  +
                                • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                • +
                                • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                • +
                                • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                • +
                                • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                • +
                                • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                • +
                                • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                • +
                                • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                • +
                                • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                • +
                                • Implements changes in response to shifting trends.
                                • Broader work or accountabilities may be assigned as needed.

                                Qualifications:

                                -

                                Foundational level of proficiency:

                                +

                                Advanced level of proficiency:

                                  +
                                • Mathematics, statistics & operations research.
                                • Deep learning.
                                • Machine learning.
                                • Trust, bias and ethics.
                                • Creative thinking.
                                • Critical thinking.
                                • -
                                -

                                Intermediate level of proficiency:

                                -
                                  -
                                • Mathematics, statistics & operations research.
                                • Big data.
                                • Data visualization.
                                • Computational thinking and programming.
                                • Data wrangling.
                                • Data preprocessing.
                                • -
                                • Complex problem solving.
                                • -
                                • Analytical acumen.
                                • Creative reasoning.
                                • Verbal & written communication skills.
                                • -
                                • Collaboration & team skills.
                                • Analytical and problem solving skills.
                                • Influence skills.
                                • +
                                • Collaboration & team skills; with a focus on cross-group collaboration.
                                • +
                                • Able to manage ambiguity.
                                • Data driven decision making.
                                • -
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • Technical proficiency gained through education and/or business experience.
                                • +
                                • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                • +
                                • Seasoned professional with a combination of education, experience and industry knowledge.

                                Salary:

                                -
                                $65,400.00 - $121,800.00

                                +
                                $100,800.00 - $187,200.00

                                Pay Type:

                                Salaried

                                The above represents BMO Financial Group’s pay range and type.

                                @@ -134039,53 +135346,69 @@ cff8a5ad-9b1d-413f-a615-b15daad7eb60,342351745,BMO Financial Group,"First Nation

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/First-Nations---Inuit---Mtis---Senior-Analyst--Data---Analytics_R240021062?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-24T08:23:01.871Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/342351745-first-nations-inuit-metis-senior-analyst-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -24857392-1322-4909-b06d-f019ba766fc8,335820045,Deloitte,"Senior Associate, Analytic Insights",on_site,"Ontario, Canada",2024-07-29T16:35:02.752Z,"

                                -

                                Job Type: Permanent
                                Reference code: 126526
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON; Burlington, ON; Kitchener, ON; Ottawa, ON

                                +",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/BMO-Senior-Manager--Anaplan-Financial-Data-Analytics_R240020968?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-12T07:42:01.791Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/337232256-bmo-senior-manager-anaplan-financial-data-analytics-at-bmo-financial-group,,expired,2024-08-08T07:37:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +2d087eb3-f22d-4b93-b215-f0850c92a1fc,334452426,KPMG,"Senior Manager/ Director, Microsoft Azure Data and AI Lead",on_site,"Toronto, Canada",2024-07-18T16:34:02.808Z,"Overview

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

                                Our Microsoft team is looking for a professional like you with the skills and drive to make a real difference.

                                We are seeking a National Lead to spearhead our Azure Data & AI initiatives within our Microsoft – Enterprise Solutions practice. This role is pivotal in driving solution opportunity revenue and market share by capitalizing on Microsoft’s growing suite of Data & AI solutions to address our customers’ needs in data modernization, analytics, and AI solutions. As the national lead, you will play a crucial role in the adoption and growth of Microsoft’s Data & AI solutions, working closely with customers, partners, and internal teams to deliver cutting-edge data and AI solutions.


                                What you will do


                                What you bring to the role

                                Providing you with the support you need to be at your best

                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                Our Values, The KPMG Way

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                Adjustments and accommodations throughout the recruitment process

                                At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                For information about accessible employment at KPMG, please visit our accessibility page.

                                ",,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-08-17T16:40:49.943Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/334452426-senior-manager-director-microsoft-azure-data-and-ai-lead-at-kpmg,https://careers.kpmg.ca/professionals/jobs/24630?lang=en-us,expired,2024-07-18T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +8f32025c-7353-45ba-acb5-13604166d680,334452641,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Ontario, Canada",2024-07-18T16:35:02.639Z,"

                                +

                                Job Type: Permanent
                                Work Model:
                                Hybrid
                                Reference code:
                                126337
                                Primary Location:
                                Toronto, ON
                                All Available Locations:
                                Toronto, ON; Calgary, AB; Montreal, QC; Vancouver, BC

                                Our Purpose

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                -

                                By living our Purpose, we will make an impact that matters.

                                -
                                -

                                --

                                -
                                -

                                -

                                Our Mission is to Lead the Canadian market in delivering data driven insights and analytic solutions to help clients increase stakeholder value in their defining moments.

                                Are you a team-player who likes to collaborate and contribute to the mission and success of a broader like-minded team? Is the prospect of furthering a culture of inspiring and empowering our people, fixating on client value, and innovating toward a data/etch enable future exciting for you? Then this job is perfect for you!

                                -
                                +

                                +

                                What will your typical day look like?

                                +

                                Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

                                -

                                As a Senior Associate you will work in a fast growing and challenging environment with like-minded people who are eminent in their respective technical fields such as Data Mining, Machine Learning, Data Visualization, and much more. You will experience the growth of a practice totally dedicated to the art and science of using data to help clients drive business decisions related to mergers and acquisitions as well as value creation / business improvement initiatives. You will continue your professional development to expand your chosen career path while working with high profile clients who need analytics support for their top priority initiatives and strategies.

                                -


                                You will develop advanced analytical solutions within our analytics team, across service lines at Deloitte, and with clients in multiple industries.

                                +

                                As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

                                +

                                +

                                We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
                                • Risk Data Strategy & Architecture
                                • Risk Data Modelling & Engineering
                                • Risk Data Analytics, Reporting & Insights
                                • Risk Data Governance & Management

                                +

                                +

                                The successful candidate will have responsibility to:
                                • Support our clients to grow responsibly through the use of applied data and analytics.
                                • Support the industry leadership in growing our risk analytics business.
                                • Support the establishment of a repeatable analytical models and approaches for clients.
                                • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
                                • Manage and support team members in the delivery of work
                                • Build strong relationships with key Deloitte team members and clients.
                                • Enhance the value of our deliverables and the insights provided by our work.
                                • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
                                • Work with existing clients to design and develop programs for data and analytics.
                                • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
                                • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

                                About the team

                                -
                                -

                                -

                                Deloitte’s Analytic Insights team transforms data into actionable insights - to support strategic decisions that amplify stakeholder value. The team focuses on three business areas to drive value for clients: i) Leverage analytics to generate deeper data-driven insights and optimize decisions across the M&A cycle, ii) Analytics for operational efficiency, to drive productivity and cost control, and iii) Advanced analytics to identify opportunities for profitable revenue growth. Our team is comprised of a mix of deep technical expertise in the statistical and analytics fields and business professionals with the experience to leverage insights to drive business decisions.

                                -
                                +

                                We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

                                Enough about us, let’s talk about you

                                -
                                -

                                -
                                • Sound understanding of data architecture and advanced SQL knowledge with an expertise in creating and maintaining data pipeline, integrating large complex data sets from various sources to meet business requirements;
                                • 3 + years of work experience in an analytical occupation (Business Analyst, Data Analytics, Data Engineering, Data Science, etc.) developing ETL, data analysis, and insights presentation;
                                • Objective, flexible and curious - focused on solving business problems and delivering data-driven analytical solutions on our client’s objectives;
                                • Superior verbal and written communication skills with experience communicating the results of your analysis to business executives;
                                • Completed undergraduate degree in a quantitative discipline (Math, Commerce, Economics, Data Science, Business, Computer Science, Engineering, etc)
                                • -
                                -
                                +

                                In this role, the expected qualifications are:

                                • Exceptional planning, organization, project and people management skills.
                                • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
                                • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
                                • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
                                • Experience in Financial Services Industry in a consulting or industry capacity
                                • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
                                • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
                                • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
                                • Experience in working with analytical, visualization and data engineering capabilities
                                • Experience in working with cloud capabilities is an asset
                                • Ability to own and drive initiatives in many different and challenging environments.
                                • Ability to understand client needs and deliver value through proven and innovative approaches.
                                • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
                                • Ability to work in a fast paced and demanding environment, both independently and in a team setting
                                • Ability to establish priorities and meet challenging deadlines
                                • Curiosity and comfortability with ambiguity
                                • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
                                • Willingness/flexibility of traveling to client locations, as required

                                Total Rewards

                                -


                                The salary range for this position is $75,000 - $113,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                +


                                The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                @@ -134103,7 +135426,74 @@ cff8a5ad-9b1d-413f-a615-b15daad7eb60,342351745,BMO Financial Group,"First Nation

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                -

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-Analytic-Insights-ON/1175985400/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-08-08T16:40:02.842Z,False,0,11,51,https://talenthub.vectorinstitute.ai/jobs/335820045-senior-associate-analytic-insights-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Associate%2C-Analytic-Insights-ON/1175985400/,expired,2024-07-29T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +

                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-08-17T17:08:31.862Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/334452641-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,expired,2024-07-18T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +f1286728-971f-4350-abcf-f92836163d27,334453423,Deep Genomics,Senior Machine Learning Operations Engineer (ML Ops) - Accelerating Drug Discovery with AI,on_site,"Toronto, ON, Canada",2024-07-18T16:41:02.621Z,"
                                +
                                About Us
                                +
                                Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
                                +

                                +
                                Opportunity
                                +
                                Join us in building the future of AI-driven drug discovery as a Senior MLOps Engineer. You will architect highly scalable, cutting-edge systems to streamline our ML pipelines from data ingestion to model deployment - accelerating our ability to translate breakthrough insights into life-changing therapies. Work closely with our world-class teams to shape core infrastructure while rapidly prototyping innovative solutions.
                                +

                                +
                                Ideal Candidate
                                +
                                We are looking for someone with 3+ years of experience who can adapt to changing requirements in a rapidly-evolving field, and who can also help their colleagues improve their skills and understanding.
                                +
                                +

                                Responsibilities:

                                +
                                    +
                                  • Package models, deploy to production environments, and monitor usage and performance.
                                  • +
                                  • Design, implement, and deploy ways to make complex deep learning models usable by biologists and other domain specialists.
                                  • +
                                  • Manage ML infrastructure, both on premises and in the cloud.
                                  • +
                                  • Rapidly prototype POCs in partnership with ML scientists and other stakeholders.
                                  • +
                                  • Test models at scale and ensure CI/CD best practices are followed by the whole team.
                                  • +
                                +
                                +

                                REQUIREMENTS

                                +
                                    +
                                  • 3+ years experience in production ML systems, model deployment.
                                  • +
                                  • Proficiency in Kubernetes, cloud technologies (AWS/Azure/GCP) and managing on-prem GPUs.
                                  • +
                                  • Background in distributed systems, containerization, CI/CD.
                                  • +
                                  • Self-motivated problem solver with excellent communication skills.
                                  • +
                                +
                                +

                                Nice to have:

                                +
                                    +
                                  • Previous startup experience bringing ML prototypes to production.
                                  • +
                                  • Familiarity with bioinformatics data/pipelinesKnowledge of MLFlow, Kubeflow, Ray, Dask, Fluidstack, or similar tools.
                                  • +
                                +
                                +

                                What we offer:

                                +
                                    +
                                  • The opportunity to transform drug discovery through AI.
                                  • +
                                  • A competitive salary plus equity compensation (ESOPs).A wide array of company-paid benefits.
                                  • +
                                  • Flexibility in remote working.
                                  • +
                                  • Exceptional opportunities for learning and growth in a world-class team of researchers and software developers, working at the intersection of the most exciting areas of science and technology.
                                  • +
                                +
                                +
                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                +

                                +
                                Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                +
                                ",,https://jobs.lever.co/deepgenomics/378571b4-ce38-4451-b61f-643da06319f8,feed-importer@jobboard.io,,,,2024-08-17T17:58:30.729Z,False,0,8,45,https://talenthub.vectorinstitute.ai/jobs/334453423-senior-machine-learning-operations-engineer-ml-ops-accelerating-drug-discovery-with-ai-at-deep-genomics,https://jobs.lever.co/deepgenomics/378571b4-ce38-4451-b61f-643da06319f8,expired,2024-07-18T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, +40f8808f-b420-49cb-ae73-71e97fa367ac,337826024,Scotiabank,"Senior Analyst, Fraud Analytics",on_site,Canada : Ontario : Toronto,2024-08-12T16:28:03.936Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 204664

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                +

                                Senior Analyst, Fraud Analytics contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures. Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail, Small Business and Commercial portfolios, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages, etc.

                                +

                                +

                                Is this role right for you? In this role you will:

                                +
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Develop, execute and monitor fraud strategies for Payment Cards, Cheque Deposit, Account Takeover, Wire, etc. for our Canadian Retail and Commercial portfolios.
                                • Leverage data mining tools (SAS, Python, R, Angoss, etc.) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                • Identify improvements of existing fraud strategies, procedures and policies
                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                • Lead/participate in the identification, development, and implementation of new initiatives
                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                +
                                • A University degree in statistics, mathematics or computer science
                                • 1-2 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                • Strong coding, organizing, and manipulating large amounts of data (for example Python)
                                • Experience with PRM or similar fraud platform strongly desired
                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                • Strong communication skills essential with clients, vendors and management
                                • Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization
                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                • A rewarding career path with diverse opportunities for professional development
                                • Lead strategic projects with a significant impact on business line growth.
                                • A culture that promotes teamwork and cross-functional collaboration to achieve business goals. Inclusive workplace that values diversity of thought, background, and experience
                                • A competitive compensation and benefits package
                                • An organization committed to making a difference in our communities – for you and our customers.
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Fraud-Analytics-ON-M1K5L1/583528917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-19T16:33:04.550Z,False,0,10,18,https://talenthub.vectorinstitute.ai/jobs/337826024-senior-analyst-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Fraud-Analytics-ON-M1K5L1/583528917/,expired,2024-08-12T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 8b444b77-2331-4357-ab24-109875611380,336799579,BMO Financial Group,Credit Risk Data Analyst - 6 Month Contract (New or Recent Graduate Opportunity) Immediate Start Date,on_site,"Ontario, Canada",2024-08-05T07:37:03.186Z,"

                                Application Deadline:

                                08/10/2024

                                @@ -134912,1373 +136302,3 @@ Knowledge of distributed computing and/or distributed databases. Experience with

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis--Strategy--and-Insights_R240026066?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-14T08:23:03.231Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/345756904-senior-analyst-quantitative-analysis-strategy-and-insights-at-bmo-financial-group,,expired,2024-10-10T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -8d83ed9f-3fe2-477f-9f42-35f7572a0c2d,342353635,Accenture,Data Consultant,on_site,"Toronto, ON, Canada",2024-09-16T12:37:02.553Z,"
                                -

                                Job Description

                                -
                                -

                                We Are:
                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

                                -


                                You Are:
                                A hands-on data professional who knows how to develop, design, and maintain cloud data infrastructures that work for our clients. You have a strong foundation in implementing data solutions. With your experience in modern data technologies, you excel at transforming complex data challenges into actionable insights that drive business outcomes. You are a next-generation thinker, a collaborative team player when it comes to what we call Data in the New.

                                -

                                You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.

                                -

                                -

                                What You’ll Do:

                                -
                                • Understand our customers\' core business objectives and build end-to-end data centric solutions to address them
                                -
                                • Collaborate with the business systems analyst, to understand business requirements, and optimize data pipeline performance
                                -
                                • Build solutions leveraging big data and data management tools to meet projects’ requirements
                                -
                                • Construct code with good coding standard and practices to ensure high quality and minimum risks
                                -
                                • Closely work with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution
                                show more show less
                                -
                                -
                                -

                                Qualifications

                                -
                                -
                                -

                                What You Need:

                                -
                                  -
                                • A bachelor\'s degree or college program, preferably in computer science, or mathematics.
                                • -
                                • Bilingual (English and French). Effective written and spoken skills in both English and French.
                                • -
                                • Minimum 5 years of experience in designing and maintaining data pipelines, or data transformation, and data modelling
                                • -
                                -
                                • Experience in architecting and building scalable data platforms.
                                -
                                • Experience with 1 of the leading cloud service providers (Azure, AWS, Google, Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.).
                                -
                                • Experience with SQL and/or NOSQL databases
                                -
                                • Experience with 2 of 3 - Java, Scala, and Python programming languages
                                -
                                • English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                -

                                -

                                Bonus Points: 

                                -
                                • Production implementation experience for all qualifications listed
                                -
                                • Production experience in building real-time analytics applications
                                -
                                • Experience in both batch and stream processing technologies
                                -
                                • Machine learning experience with Spark or similar
                                -
                                • Certified Data or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
                                -
                                • Ability to manage numerous requests concurrently and be able to prioritize and deliver
                                -
                                • Effective communication skills
                                -

                                #LI-NA

                                -
                                -
                                -
                                -

                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                -
                                -

                                Our Commitment to Inclusion & Diversity

                                -

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                -

                                Other Employment Statements

                                -

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                -

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                -
                                -
                                Apply Now
                                - Register for Job Alerts
                                Share
                                -
                                Share
                                -
                                Job Link:
                                Copy
                                -
                                -
                                -
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236435_en&title=Data%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,7,63,https://talenthub.vectorinstitute.ai/jobs/342353635-data-consultant-at-accenture,,expired,2024-09-16T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -1463f9d2-9b0d-416a-8216-75908b6f2653,343661523,Accenture,Digital Analytics - Personalization and Optimization Lead,on_site,"Toronto, ON, Canada",2024-09-26T08:44:03.156Z,"
                                -

                                Job Description

                                -
                                -

                                WHO WE ARE:

                                Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

                                -


                                There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Here’s a snapshot of your responsibilities:

                                -

                                -

                                THE WORK:

                                -

                                -
                                • Lead and manage a team that will perform assessments, develop strategies, and deliver roadmaps to help clients understand their current Personalization, A/B Testing, and Digital Analytics capabilities and opportunities.

                                • Leverage a variety of research techniques to inform Personalization and A/B Testing initiatives: competitive analysis, digital analytics, customer analytics, advertising analytics, surveys, usability evaluations, past initiatives, market trends, etc.

                                • Lead teams and manage clients through their deployment and tactical use of Personalization and A/B Testing platforms (Adobe Target, Adobe AJO, Salesforce Marketing Cloud Personalization [Interaction Studio], or similar) across digital properties including web, mobile apps, and email.

                                • Lead teams and manage clients through their use of Audience Platforms like Customer Data Platforms (CDPs) and Data Management Platforms (DMPs) (Salesforce CDP, Adobe AEP / RTCDP, Tealium, Lytics, ActionIQ, or similar)

                                • Develop and execute measurement strategies that tie organizational objectives to digital measurement solutions and communicate the value of solutions to a senior client audience

                                • Influence clients to understand, align-upon, and adopt Personalization and A/B testing best-practices

                                • Help businesses evolve organizational processes to better leverage data and insights

                                • -
                                -

                                show more show less
                                -
                                -
                                -

                                Qualifications

                                -
                                -
                                -

                                HERE’S WHAT YOU’LL NEED:

                                -
                                • - 5+ years of experience in digital marketing and digital analytics -
                                • -3+ years of experience in web personalization and a/b testing: experience with test and learn strategies, configuring optimization tools and deploying testing programs for campaigns and brand experiences -
                                • - Intermediate knowledge of web technologies (notably HTML, CSS, and JavaScript) -
                                • - Experience with digital analytics, CDP, and tag management solutions and differences between providers (ex: Adobe, Salesforce, Google, Tealium, Lytics, etc.) -
                                • - Experience performing analytics on digital data sources (e.g., digital analytics data, digital advertising data, audience data, social data, search data, etc.) -
                                • - Experience using, implementation, and managing the collection and activation of data across systems -
                                • - Proven ability to work creatively and analytically in a problem-solving environment -
                                • - Proven ability to bring a strategic mindset and deep thinking across sales and delivery -
                                • - Proficiency in MS PowerPoint -
                                • - English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement. -
                                • -
                                -

                                -

                                BONUS POINTS IF:

                                -
                                • - Solid understanding of user experience research & design -
                                • - Ability to communicate measurement and data-oriented business objectives to a senior audience -
                                • - Technical understanding of how digital analytics and tag management solutions are deployed and leveraged (ex: Adobe Analytics, Google Analytics, Adobe Customer Journey Analytics [CJA], etc.) -
                                • - Ability to manage deployments and strategically advise on future data collection and measurement solutions -
                                • - Passionate about data, analytics and technology (ex: avid consumer of TED talks, Wired Magazine, MarTech.org, etc.) -
                                • - Experience with client-facing projects ideally in consulting, agency or other business-related services -
                                • - Experience helping organizations with data strategy and architecture for marketing activation -
                                • - Ability to take complex solutions and make them simple to understand -
                                • -
                                -

                                -

                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                -

                                Information on benefits is here.

                                -

                                Role Location Annual Salary Range

                                -

                                British Columbia $89,500 to $204,100

                                -

                                #LI-NA

                                -
                                -

                                Locations

                                -
                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                -
                                -
                                -

                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                -
                                -

                                Our Commitment to Inclusion & Diversity

                                -

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                -

                                Other Employment Statements

                                -

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                -

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                -
                                -
                                -
                                Apply Now
                                - Register for Job Alerts
                                Share
                                -
                                Share
                                -
                                Job Link:
                                Copy
                                -
                                -
                                -
                                -
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236246_en&title=Digital%20Analytics%20-%20Personalization%20and%20Optimization%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/343661523-digital-analytics-personalization-and-optimization-lead-at-accenture,,expired,2024-09-26T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -046a458e-c5b3-4989-892a-70ee18640036,342370934,CentML,Machine Learning Systems Engineer,hybrid,"Toronto, ON, Canada",2024-09-16T17:52:16.580Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
                                Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

                                As a Machine Learning Systems Engineer, you will

                                - Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems.- Design and implement novel solutions to solve the problems.- Survey and possibly reproduce the state-of-the-art research work; analyze and evaluate if the ideas from the research work could be applied to our solutions.- Write unit tests and benchmarks to validate and evaluate our solutions.

                                -

                                -

                                You may be a good fit, if you have:

                                - -

                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/63b203c6-b3de-449f-9be1-33dabc579499,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:52:32.877Z,False,0,27,138,https://talenthub.vectorinstitute.ai/jobs/342370934-machine-learning-systems-engineer-at-centml,,expired,2024-09-16T17:52:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, -c2d0f04b-b41d-4b5f-b229-22092420d252,341822113,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-09-12T16:28:02.894Z,"
                                -
                                -

                                What\'s the opportunity?

                                -

                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                -

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                -
                                -
                                -

                                Your responsibilities include:

                                -
                                  -
                                • Developing novel AI solutions that facilitate impactful products;
                                • -
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                • -
                                • Working with the development team to transfer research work into production;
                                • -
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • -
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                • -
                                -
                                -
                                -

                                You’re our ideal candidate if you have:

                                -
                                  -
                                • A passion for solving open problems using data and algorithms;
                                • -
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • -
                                • Ability to formulate and drive a research project independently without close supervision;
                                • -
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                • -
                                -
                                -
                                -

                                What’s in it for you?

                                -
                                -
                                  -
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • -
                                • Leaders who support your development through coaching and managing opportunities;
                                • -
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • -
                                -

                                About Borealis AI

                                -
                                -
                                -
                                -

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -
                                -
                                ",,https://www.borealisai.com/careers/?gh_jid=7634549002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-16T18:22:16.850Z,False,0,22,103,https://talenthub.vectorinstitute.ai/jobs/341822113-machine-learning-researcher-at-borealis-ai,,expired,2024-09-12T16:28:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -49e95987-2ce5-4e7e-894c-d84429b453a1,344787654,Roche,Principal Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-10-03T08:58:02.395Z,"
                                -

                                Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                -

                                -

                                -

                                The Position

                                -

                                -

                                A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

                                -

                                -

                                Creating a world where we all have more time with the people we love.

                                -

                                -

                                That’s what makes us Roche.

                                -

                                -

                                Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.

                                -

                                -

                                -

                                As a Principal Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

                                -

                                -

                                Your Opportunity

                                - -

                                -

                                Who you are

                                - -

                                -

                                Preferred

                                - -

                                -

                                Relocation benefits are not available for this posting

                                -

                                -

                                #tech4lifeSoftwareDevelopment

                                -

                                #tech4life

                                -

                                #LI-Hybrid

                                -

                                -

                                Who we are

                                -

                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                -

                                -

                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                -

                                -

                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                -
                                -

                                -

                                Roche is an Equal Opportunity Employer.

                                -
                                -
                                ",,https://careers.roche.com/global/en/job/202405-113384/Principal-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-10-17T19:45:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/344787654-principal-bioinformatics-software-engineer-at-roche,,expired,2024-10-03T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -74301338-3e56-4eb5-94b1-3604c90eccca,345360264,BMO Financial Group,"Manager, Risk Reporting and Loss Forecasting",on_site,"Ontario, Canada",2024-10-07T08:18:01.636Z,"
                                -

                                Application Deadline:

                                10/16/2024

                                -

                                -

                                Address:

                                33 Dundas Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                - -
                                -

                                -

                                Salary:

                                -
                                $68,000.00 - $126,000.00

                                -

                                Pay Type:

                                Salaried

                                -

                                The above represents BMO Financial Group’s pay range and type.

                                -

                                -

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                -

                                -

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-17T08:23:03.218Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/345360264-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,expired,2024-10-07T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -07b6cc15-04f3-4912-8495-50c1c225eb1c,344787083,Canadian Tire Corporation,Senior Insights & Modelling Analyst,on_site,"Ontario, Canada",2024-10-03T08:40:02.198Z,"
                                -

                                As a Senior Insights & Modelling Analyst, you will be responsible for providing analytical support to key clients within the business. Specifically, you will become a significant contributor of actionable insights which will drive strategy, support with tactical initiatives, as well as improve efficiency within the organization. Your analysis and business intelligence tools will help promote and sustain the profitable growth of the business. You are the type of individual who can energize the people around you and inspire fellow employees and shareholders with your natural curiosity and problem-solving ability.

                                -

                                -

                                What will you do?

                                - -

                                -

                                You will join an enthusiastic, fast-paced, and dynamic team at Canadian Tire. Sustained exceptional performance, innovation, creativity, insight, good judgment, and attention to detail are daily requirements.

                                -

                                -

                                What do you bring to the team?

                                - -

                                -

                                What are your skills and experience?

                                - -

                                -

                                How will you create impact?

                                - -

                                -

                                Hybrid

                                -

                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                -

                                -

                                #LI-GM1

                                -

                                -

                                About Us

                                -

                                -

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                -

                                -

                                Our Commitment to Diversity, Inclusion and Belonging

                                -

                                -

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                -

                                -

                                Accommodations

                                -

                                -

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                -

                                -
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Senior-Insights---Modelling-Analyst_JR138757?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-17T08:45:01.870Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/344787083-senior-insights-modelling-analyst-at-canadian-tire-corporation,,expired,2024-10-03T08:40:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -31d1fbc1-a158-4ad7-9069-b3f6fb06ba5c,342644486,CentML,Software Engineer - Compiler,on_site,"Toronto, ON, Canada",2024-09-18T22:55:00.266Z,"

                                About Us

                                -

                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                -

                                Overview:

                                -

                                Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

                                -

                                Responsibilities:

                                - -

                                Who you are:

                                - -

                                You will stand out from the crowd if you have:

                                - -

                                Benefits & Perks

                                -

                                An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

                                -

                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/6519922a-16dd-4f82-bd5e-6105ddbfa8e7,aitalent@vectorinstitute.ai,https://centml.ai/,,,2024-10-18T22:55:02.511Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/342644486-software-engineer-compiler-at-centml,,expired,2024-09-18T22:55:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, -4dccbf45-735d-4953-a08d-3d25ee9a6ae1,342709642,Layer 6,Machine Learning Product Engineer,on_site,"Toronto, ON, Canada",2024-09-19T11:29:37.741Z,"

                                Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                                -

                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                -

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                -

                                Job Description:

                                -

                                Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                                -

                                Customer Accountabilities:

                                - -

                                Shareholder Accountabilities:

                                - -

                                Job Requirements:

                                -

                                Employee/Team Accountabilities:

                                - -

                                Breadth and Depth:

                                - -

                                Experience and/or Education:

                                - -

                                Additional Information:

                                -

                                Required Technical Skills

                                - -

                                Nice to have Skills

                                - -

                                Benefits

                                -",careers@layer6.ai,,careers@layer6.ai,https://layer6.ai/careers/,,,2024-10-19T11:29:41.428Z,False,3,0,126,https://talenthub.vectorinstitute.ai/jobs/342709642-machine-learning-product-engineer-at-layer-6,,expired,2024-09-19T11:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -afa9fdc4-80c9-4c69-b447-f0d9401eafb8,346256341,Google,"Software Developer III, AI/Machine Learning",on_site,"Toronto, ON, Canada",2024-10-14T08:34:02.725Z,"
                                -
                                -

                                Software Developer III, AI/Machine Learning

                                -
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                                • -linkCopy link -
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                                -corporate_fareGoogleplaceWaterloo, ON, Canada
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                                -bar_chartMid -
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                                Mid

                                -
                                Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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                                -Apply
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                                • -linkCopy link -
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                                Minimum qualifications:

                                -
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                                • Bachelor’s degree or equivalent practical experience.
                                  -
                                • -
                                • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
                                  -
                                • -
                                • 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing.
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                                • -
                                • Experience with Large Language Models, NLP, or Generative AI.
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                                Preferred qualifications:

                                -
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                                • Master\'s degree or PhD in Computer Science or related technical fields.
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                                • Experience developing accessible technologies.
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                                • -
                                -
                                -
                                -

                                About the job

                                -

                                Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                -

                                Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                -
                                -
                                -

                                Responsibilities

                                -
                                  -
                                • Write product or system development code.
                                • -
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                  -
                                • -
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                  -
                                • -
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                  -
                                • -
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                  -
                                • -
                                -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                -

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                -

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                -

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                -

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                -
                                -
                                ",,https://www.google.com/about/careers/applications/jobs/results/86101750351569606-software-developer-iii-aimachine-learning?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/346256341-software-developer-iii-ai-machine-learning-at-google,,expired,2024-10-14T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -ead3141b-411f-4852-b98c-e98b5aad9b18,346634030,Google,"Staff Developer Relations, Platform, AI",on_site,"Toronto, ON, Canada",2024-10-17T08:34:01.551Z,"
                                -
                                -

                                Staff Developer Relations, Platform, AI

                                -
                                -
                                -
                                -
                                -
                                -
                                -
                                -
                                -
                                -

                                Minimum qualifications:

                                -
                                  -
                                • Bachelor\'s degree in Computer Science, a similar technical field, or equivalent practical experience.
                                  -
                                • -
                                • 7 years of experience in developer relations, developer advocacy, or community management roles within the data science or machine learning domains.
                                  -
                                • -
                                • Experience in creating and delivering technical presentations, workshops, and training sessions.

                                  -
                                • -
                                -

                                Preferred qualifications:

                                -
                                  -
                                • Experience in developing technical strategy for large teams and large projects.
                                  -
                                • -
                                • Ability to develop and maintain comprehensive developer resources including documentation, tutorials, sample code, and other learning materials to enable developers to effectively use Google\'s platforms.
                                  -
                                • -
                                • Passion for developer communities and a genuine interest in enabling and supporting developers and data scientists.
                                  -
                                • -
                                -
                                -
                                -

                                About the job

                                -

                                In this role, you will build the tools in the world for Artificial Intelligence (AI) developers. You will bring Google Cloud AI capabilities to the developer community. You will work on products including Vertex AI, BigQuery, Cloud Run, Gemma open models, and the Gemini Application Programming Interface (API).

                                -

                                The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                -

                                Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                -
                                -
                                -

                                Responsibilities

                                -
                                  -
                                • Identify and engage with key influencers, thought leaders, and activists within the developer and data science communities to advocate for Google\'s platforms.
                                  -
                                • -
                                • Create and manage developer programs, events, workshops, hackathons, and other initiatives to foster community growth and engagement.
                                  -
                                • -
                                • Provide technical support and guidance to developers, addressing their questions, issues, and feedback.
                                  -
                                • -
                                • Act as an advocate and promoter for generative AI technologies within the developer and data science communities.
                                  -
                                • -
                                -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                -

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                -

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                -

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                -

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                -
                                -
                                ",,https://www.google.com/about/careers/applications/jobs/results/73345749525373638-staff-developer-relations-platform-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/346634030-staff-developer-relations-platform-ai-at-google,,expired,2024-10-17T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -628b0af3-d9ff-4623-9ad6-cdab4e86114c,345423458,Scotiabank,"Sr Manager, IB Business Insights - CID&A",on_site,Canada : Ontario : Toronto,2024-10-07T16:31:06.278Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 208511

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The Sr Manager, IB Business Insights is responsible for supporting analytics projects and initiatives with a focus in International Banking (IB): PAC and CCAU – Mexico, Colombia, Peru, Chile, Caribbean, Central America and Uruguay. The incumbent will drive key business strategies by leveraging data and analytics, aligning to strategic business objectives to support a better understanding of our customers. This function provides value added analysis to the local Analytics functions at all International Banking countries. The role involves a high degree of collaboration and coordination with various areas in Canada and IB such as: Products, Segments, Analytics, Finance, Credit Risk, Operations and Systems.

                                -

                                -

                                Is this role right for you? In this role, you will:

                                -

                                -
                                • Serve as a thought partner and strategic advisor to maximize analytics’ impact and ensure implementation of strategic priorities, providing key business and customer insights
                                • Support the IB Analytics team with project execution assurance: ensure projects are implemented (deliverables and timelines are met by all work streams), confirm committed benefits/synergies are realized/captured, and help mitigate analytics project risks
                                • Collaborate with Toronto-based and in country teams supporting IB Analytics strategy and provide advisory support. This could take 2 approaches:
                                • Low-touch support; where the incumbent will be providing advisory services, e.g. participating in meetings for key analytics initiatives, engaging in specific work streams of the projects
                                • High-touch support; where the incumbent will be on-the-ground supporting analytics delivery in specific businesses within International Banking
                                • Perform data-driven analyses to diagnose issues or roadblocks to analytics projects, synthesize findings, and present clear recommendations to mitigate risks
                                • Build and maintain collaborative relationships / partnerships with key stakeholders including senior leaders and analytics functional teams across the organization
                                • -
                                -


                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                -

                                -
                                • Master in Analytics, MBA or equivalent experience required
                                • Strong analytical skills
                                • Strong ability to discern research information/data to focus on critical business and country-specific issues
                                • Experience conducting financial and customer analyses: P&L analysis, customer-level descriptive analytics and similar
                                • Proficiency applying analytics to solve business problem: segmentation, optimization models, etc.
                                • Experience in the financial services industry and/or consulting:
                                • Experience in Business Intelligence, Analytics, Product Management, Finance and/or Risk functions within Commercial Banking.
                                • Working knowledge of Commercial Banking products: Lending, Deposits and complementary products and services offered by other financial institutions and niche competitors
                                • Strong communication skills
                                • Good relationship management skills to effectively manage relationships across the Bank including partners within Canada and abroad
                                • Strong financial and business acumen
                                • Expert knowledge with Excel and PowerPoint, ability to prepare and present to different audiences
                                • Agile experience, Power BI, R / Python coding skills an asset
                                • Fluency in Spanish an asset
                                • -
                                -

                                -

                                What's in it for you?

                                -

                                -
                                • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                • A rewarding career path with diverse opportunities for professional development
                                • Internal training to support your growth and enhance your skills.
                                • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                • Hybrid Work Environment
                                • -
                                -

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-IB-Business-Insights-CID&A-ON-M5H1H1/585257017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/345423458-sr-manager-ib-business-insights-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-IB-Business-Insights-CID&A-ON-M5H1H1/585257017/,expired,2024-10-07T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -868900a5-ffff-4313-bae8-e25f1a6a915a,91849025,Deloitte,"Intelligent Automation Consulting Manager, Omnia AI",on_site,"Ontario, Canada",2021-11-02T02:42:11.703Z,"
                                -

                                Job Type: Permanent
                                Primary Location: Multiple Locations, Canada
                                All Available Locations: Toronto; Ottawa; Vancouver

                                -

                                • Learn from deep subject matter experts through mentoring and on the job coaching
                                • Partner with clients to solve their most complex problems
                                • Be encouraged to deepen your technical skills…whatever those may be
                                -
                                -
                                -

                                -

                                Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                -
                                -
                                -

                                What will your typical day look like?

                                -
                                -

                                This role sits within the Omnia AI team of Deloitte Consulting, which encompasses Intelligent automation (IA). As a consultant in this group, you will deliver our Intelligent Automation solutions: robotic process automation, intelligent character recognition, chatbots/virtual assistants and artificial intelligence.

                                Primary responsibilities include:

                                -
                                • Analyzing and understanding the business processes before identifying and communicating the technical software requirements.
                                • Create business cases for the deployment of robotic and cognitive automation.
                                • Map current state, design solution, implement robot, test and deploy in a context of client operating model transformation.
                                • Design process solutions in accordance to standard design principles & conventions.
                                • Configuring new automated processes and objects using core workflow principles that are efficient, well- structured, maintainable and easy to understand.
                                • Support existing processes and implement change requirements as part of a structured change control process.
                                • Deliver training curriculum for client stakeholders (e.g. technology, process, train-the-trainer, online-solutions).
                                • Ensure communication within Deloitte's network of Intelligent Automation experts on typical process, methodology, tools and RPA principles.
                                • -
                                -

                                As a Manager you will:

                                -
                                • Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. In addition, Managers should undertake practice development and business management activities to help grow the intelligent automation practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
                                • Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects, and hone your commercial skills.
                                • You will assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organization, processes and supporting technology.
                                • Design and develop tailor-made solutions, strengthen our presence in the market, identify revenue-generating opportunities and get involved in proposal writing, pitch presentations, etc.
                                • Build global trusted relationships with key clients
                                • -
                                -
                                -
                                -
                                -

                                About the team

                                -
                                -

                                In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

                                -

                                The Intelligent Automation team leverages the power of machine learning, data, analytics, RPA and other cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, drive new and enhanced front and back office business solutions and inform decision-making.
                                We help clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

                                -

                                Intelligent Automation team will work with our clients to:

                                -

                                • Leverage automation, cognitive and science-based techniques to bring efficiencies in processes, predict scenarios and prescribe actions
                                • Implement large-scale automation programs including governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

                                -
                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -

                                You are someone with:
                                • Bachelor or Masters' Degree in any relevant discipline
                                • Minimum 8 years of working in managerial position with experience in project management, people management and software delivery
                                • Understanding of SDLC Waterfall and Agile Development Methodologies
                                • Experience in delivery Intelligent Automation Solution using market established RPA tool such as BluePrism, UiPath, Automation Anywhere
                                • Certification in UiPath (advanced), Automation Anywhere (master) or BluePrism (professional) is highly preferred
                                • Understanding of Artificial Intelligence and Machine Learning
                                • Knowledge of process analysis, re-engineering and optimization preferably within Financial Services
                                • Experience with Data Analytics tools and databases
                                • Strong client relationship skills, including an ability to independently engage with clients
                                • Strong analytical skills, excellent oral and written communication skills in English, be self-motivated and be able to work in stressful situations with changing priorities
                                • Driven, tenacity, client-focused, results-oriented with proven demonstration of sound business acumen, teamwork and leadership qualities
                                • An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments
                                • Confident in public speaking and presentation preparation

                                -
                                -
                                -

                                Why Deloitte?

                                -

                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:
                                • You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                • You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                • You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.

                                -

                                The next step is yours

                                -

                                Sound like The One Firm. For You?

                                -

                                We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                ",,https://careers.deloitte.ca/job/Toronto-Intelligent-Automation-Consulting-Manager%2C-Omnia-AI-ON-M5C-3G7/807629000/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-04T15:23:45.490Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/91849025-intelligent-automation-consulting-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Intelligent-Automation-Consulting-Manager%2C-Omnia-AI-ON-M5C-3G7/807629000/,expired,2021-11-02T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, -47560a9d-4211-4c79-86f6-b57b731b485e,91863750,Scotiabank,VELOCITY - Software Engineering - Winter 2022,on_site,Canada : Ontario : Toronto,2021-11-02T04:46:07.823Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 119342

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                - -

                                VELOCITY - Software Engineering - Winter 2022

                                -

                                WORK TERM: 4 Months - Winter 2022 (January - April)

                                -

                                -

                                What Can I Expect from the Velocity Program?

                                -

                                This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                -

                                -

                                You Will…

                                -
                                • Work with a squad of go-getters to deliver clean and effective solutions
                                • Produce workable prototypes to illustrate concepts iteratively and be able to provide detailed specifications for use by the other team members
                                • Deliver high quality implementations by practicing best software development practices
                                • Be a culture champion pivotal in driving culture change at all levels
                                • Experiment & learn!
                                • -
                                -

                                -

                                You Are?

                                -

                                You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                -

                                Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                -

                                -

                                You have basic knowledge in…

                                -
                                • Software Development Life Cycle (SDLC)
                                • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                • Programming Languages (Java, JavaScript, React, C , C++ etc.)
                                • Development tools (Jenkins, Maven, Artifactory, etc.)
                                • Agile Methodologies (Scrum, Kanban, XP, etc)
                                • -
                                -

                                -

                                -

                                How to apply?

                                -

                                For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                -

                                -

                                1) Complete your PLUM Profile here

                                -

                                2) Take a screenshot of your completed PLUM profile.

                                -

                                3) Complete a very short one-way video interview by clicking here

                                -

                                4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                -

                                -

                                -

                                We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Software-Engineering-Winter-2022-ON/550237717/,feed-importer@jobboard.io,,,,2021-11-16T04:51:28.182Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/91863750-velocity-software-engineering-winter-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Software-Engineering-Winter-2022-ON/550237717/,expired,2021-11-02T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -3164196b-1641-4bfb-afcd-acaed6130106,92069919,Scotiabank,"Data Analyst Intern, Strategic Analytics",on_site,"Toronto, ON, Canada",2021-11-03T17:19:45.886Z," - - -

                                Data Analyst Intern, Strategic Analytics, Scotia Dealer Advantage

                                Winter 2022 (January-April)

                                -

                                -

                                Why work for Scotiabank?

                                -


                                Scotiabank is among the largest banks in the world and the most international bank in Canada. We are powered by our 97,000 high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together with our Digital Factories around the world, we are dedicated to helping our 25 million customers become better-off.

                                -

                                -

                                This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank!

                                -

                                -

                                -

                                Who We Are:

                                -

                                -

                                Scotia Dealer Advantage provides non-prime loans for both new and used automotive sales to meet the needs of customers who, for any number of reasons, have no credit history or less than perfect credit. The Strategic analyics team designs strategies that optimize key metrics, identify opportunities, while aligning to the bank's objectives and risk appetite. We work closely with product owners and other partners on digital innovation, data analysis, and managing projects end-to-end.

                                -

                                -

                                -

                                Who we are looking for?

                                -

                                - -

                                -

                                You Will:

                                -

                                - -

                                -

                                How do I apply?

                                -

                                -

                                For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy, but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                -

                                -

                                1) Complete your PLUM Profile here
                                2) Take a screenshot of your completed PLUM profile
                                3) Complete a very short one-way video interview by clicking here
                                4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                **To be considered for student opportunities at Scotiabank you must submit your PLUM Assessment and Video Interview. **

                                -

                                -

                                -

                                Location(s): Canada : Ontario : Hamilton

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Hamilton-Data-Analyst-Intern%2C-Strategic-Analytics-ON/551612217/,aitalent@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-11-15T20:41:00.000Z,False,0,9,71,https://talenthub.vectorinstitute.ai/jobs/92069919-data-analyst-intern-strategic-analytics-at-scotiabank,,expired,2021-11-03T17:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -b7f17883-e552-4252-b9fe-a4e595b42385,92246881,TD Bank Group,"Manager, Fraud Strategies",on_site,"Toronto, ON",2021-11-04T20:32:01.835Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                -

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                -

                                About this Role

                                -

                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                -

                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                -

                                -

                                As the Manager, Analytics & Insights you will:

                                -
                                  -
                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                • -
                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                • -
                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                • -
                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                • -
                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • -
                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                • -
                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                • -
                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                • -
                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                • -
                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                • -
                                • Set operational team direction, working in partnership to execute on common goals
                                • -
                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                • -
                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                • -
                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                • -
                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                • -
                                • Support execution with excellence on key initiatives/programs
                                • -
                                • Design effective test and learn for various programs or scenarios
                                • -
                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                • -
                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                • -
                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD?

                                -

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Seven (7) or more years relevant experience
                                • -
                                -
                                -

                                -

                                Additional Information

                                -
                                #businessintelligence
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/13987956/manager-fraud-strategies-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-11T16:28:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/92246881-manager-fraud-strategies-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13987956/manager-fraud-strategies-toronto-ca/,expired,2021-11-04T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7bc33b66-f6d1-4911-991a-3cb7f44f167f,92584005,RBC,"Data Analyst, Financial Resource Optimization, Winter 2022 Student (4 or 8 months)",on_site,"Toronto, Ontario, Canada",2021-11-05T02:40:25.137Z,"
                                -

                                What is the opportunity?

                                -

                                -

                                Financial Resource Optimization (FRO) is responsible for management of capital resources in support of RBC’s key strategic objectives. FRO’s mandate includes measurement, monitoring and forecasting of risk-weighted assets, leverage, and capital metrics. FRO works jointly with Businesses, Strategy, and Group Risk Management and other groups in Finance to measure and deploy capital in support of RBC’s growth and financial objectives, and adherence to regulatory requirements.

                                -

                                -

                                As a Data & Product Analyst student, you’ll work in the FRO Data, Systems and Business Solutions team supporting the Product Owners with both the existing infrastructure platform and the build-out of the bank’s next generation solution for Regulatory and Economic Capital Measurement and integration of data across Finance and Risk.

                                -

                                -

                                What will you do?

                                -

                                -

                                You’ll support the Product team by contributing and leading…

                                -

                                -
                                1. -Analytics & Metrics. You will help our team make data-driven decisions.
                                    -
                                  1. Development of agile metrics (Sprint velocity, burndown, etc.) to contribute to oversight of Software BAU (business as usual) team oversight, and increase agile maturity.
                                  2. -
                                  3. Create BI reporting packages and dashboards utilizing regulatory capital data infrastructure built around Hadoop as well as localized DataMart and other data sources.
                                  4. -
                                  5. Analyze business requirements or problems and work with subject matter experts, technology and business partners to select the appropriate statistical and ML/AI models to be used.
                                  6. -
                                  7. Work on portfolio of initiatives across capital systems affecting economic and regulatory capital, leverage ratio and other critical risk reports
                                  8. -
                                  9. Collaborate with team members to design and build ML/AI algorithms for proof of concepts (POCs) and as we transition the POCs to Production.
                                  10. -
                                  11. Use machine learning and other data mining techniques to get insights from massive datasets.
                                  12. -
                                  -
                                -

                                -
                                1. -Root Cause Problem Solving. You will help improve key business processes.
                                    -
                                  1. Following the data and metrics extracted above, investigate a business process, interview people, analyze systems, document as appropriate, and figure out why something is not working.
                                  2. -
                                  3. Communicate findings concisely and succinctly.
                                  4. -
                                  5. Work with FRO team members to devise, weigh and implement solutions.
                                  6. -
                                  -
                                -

                                -
                                1. -Technical Writing. You will help cultivate re-usability of Product Knowledge.
                                    -
                                  1. We’re migrating software platforms, and all of our operations and processes need to be re-documented and organized.
                                  2. -
                                  3. You’ll help develop a program to preserve and organize this knowledge, and then execute on the strategy.
                                  4. -
                                  5. You’ll help write, we’ll get others to write, and we’ll drive user adoption.
                                  6. -
                                  -
                                -

                                -
                                1. -Special Projects.
                                  1. We have a broad mandate within the team, and are always looking for ways to apply creativity and special skills as it helps us to improve our product and user experience.
                                  -
                                -

                                -


                                What do you need to succeed?

                                -

                                - -

                                Programming skills and knowledge of Python, R.

                                - -

                                -

                                -

                                Nice-to-have

                                -

                                - -

                                -

                                -

                                What’s in it for you?

                                -

                                In this role, you will have the opportunity to work in a dynamic, collaborative, progressive and high performing team making a difference and lasting impact. We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.

                                -

                                -

                                You will get:

                                - -

                                -

                                We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                While there is no one date when our employees will return, we can confirm that the majority of Fall Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                -

                                -

                                About RBC
                                Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                -

                                -

                                -

                                Inclusion and Equal Opportunity Employment
                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -



                                JOB SUMMARY
                                City: Toronto
                                Address: Virtually, if permitted, 155 Wellington St. W
                                Work Hours/Week: 37.5
                                Work Environment: Your Home Office
                                Employment Type: [[filter7]]
                                Application Deadline: 11/14/2021
                                Platform: CFO Group

                                Req ID: 426138
                                Ad Code(s):

                                -

                                -
                                ",,https://jobs.rbc.com/ca/en/job/426138/Data-Analyst-Financial-Resource-Optimization-Winter-2022-Student-4-or-8-months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-15T20:41:00.000Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/92584005-data-analyst-financial-resource-optimization-winter-2022-student-4-or-8-months-at-rbc,https://jobs.rbc.com/ca/en/job/426138/Data-Analyst-Financial-Resource-Optimization-Winter-2022-Student-4-or-8-months,expired,2021-11-05T02:40:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -cc714e84-1b36-4020-8ec8-6bf5ad0b4e27,93253159,Roche,MLOps Engineer,on_site,"Canada , Ontario , Mississauga",2021-11-07T07:19:02.165Z,"
                                -

                                MLOps Engineer who will innovate healthcare

                                -

                                -

                                We are the Global IT Solution Centre for Roche - one of the largest and most innovative pharmaceutical companies in the world.

                                -

                                We create Data Science-backed software to help patients, physicians and scientists face some of the greatest challenges in healthcare today.

                                -

                                We need a passionate MLOps Engineer to help us in discovering and implementing state-of-the-art solutions for our Machine Learning projects to enable rapid experimentation, increase the accuracy of our models and ensure the high quality of our products.

                                -

                                -

                                Job Responsibilities:

                                - -

                                -

                                Required experience and qualifications:

                                - -

                                -

                                Interested? APPLY

                                -

                                Roche is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin colour, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.

                                -

                                -

                                -

                                -

                                -

                                Job Level:

                                Individual contributor
                                ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202109-127945&locale=en&title=MLOps+Engineer&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2021-12-08T18:26:25.662Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/93253159-mlops-engineer-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202109-127945&locale=en&title=MLOps+Engineer,expired,2021-11-07T07:19:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -5db97c70-c978-4d33-a30b-b288d910ea2c,93553665,TD Bank Group,Data Management Specialist,on_site,"Toronto, ON",2021-11-08T20:32:05.320Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                -

                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                -

                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                -

                                Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

                                -

                                As a Business Information Management Specialist, you will:

                                -
                                  -
                                • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
                                • -
                                • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                • -
                                • Develop business requirements; design and implement complex business data information management frameworks
                                • -
                                • Apply automation and innovation on data platforms and on new development projects / initiatives
                                • -
                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                • -
                                • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                • -
                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                -

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                • -
                                • Sound conceptual knowledge in your area of specialty
                                • -
                                • Fluent multiple programming languages
                                • -
                                • Expert level analytical and problem-solving skills
                                • -
                                • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                • -
                                • In-depth knowledge of competitor and market trends
                                • -
                                • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                • -
                                • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                • -
                                • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
                                • -
                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                • -
                                -
                                -

                                -

                                Additional Information

                                -
                                -
                                Must Have:
                                -
                                  -
                                • 4 years of ETL experience
                                • -
                                • 4 years of data modeling and SQL
                                • -
                                -

                                Nice to Have:

                                -
                                  -
                                • Experience working in Python
                                • -
                                • Big Data and Cloud Data
                                • -
                                • Azure, Spark and Hive working experience
                                • -
                                -
                                #dataengineer
                                -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-11T16:28:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/93553665-data-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,expired,2021-11-08T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -4c8f5ee7-e07c-48ae-88a1-1b3b30dfddf3,93625907,Intact Financial Corporation,"Senior Machine Learning Software Developer, Intact Lab",on_site,"Toronto, ON, Canada",2021-11-09T04:46:19.702Z,"
                                -

                                Who needs insurance? Everybody. That keeps us busy. Very busy.

                                At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                Here, innovation is everyone's job. Ready to make your mark?


                                -
                                About the role
                                -

                                Calling all AI and machine learning experts! We have a fantastic opportunity for an experienced Senior Machine Learning Software Developer to join our team.

                                Artificial intelligence is shaping the future of insurance. Our lab turns this vision into a reality. As Canada's largest home, auto and business insurer, we're here to cultivate the next generation of technology and talent. Together, we're helping our customers protect what matters to them most through the power of data science, machine learning and AI.

                                As a tech pioneer within an AI lab, you’ll have the opportunity to:

                                • Use machine learning and advanced statistics to help build innovative solutions for real-life customer and business problems
                                • Develop and deploy to production data and machine learning pipeline at scale
                                • Influence the AI roadmap for the largest home, auto business insurer in Canada
                                • Explore new technologies and use them in your own solutions
                                • Validate the analytical approach and project outputs of other team members
                                • Grow alongside a diverse team of world-class experts in data science, software engineering, actuarial science, business and design
                                • Mentor and coach interns and other engineers to help us grow, as a team

                                All this plus great work-life balance!


                                -
                                Qualifications
                                -

                                • A bachelor’s degree in a discipline such as computer science, software engineering, AI, or a related field. MSc is an asset
                                • Significant experience of at least 5 years in software development
                                • 3+ years of experience solving business problem using machine learning
                                • Expertise in programming in languages such as Python and machine learning libraries such as Tensorflow, PyTorch, scikit-learn, etc.
                                • Expertise with the machine learning development lifecycle
                                • Experience developing data and machine learning pipelines
                                • Familiar with the underlying theory of machine learning (supervised, unsupervised and reinforcement learning)
                                • Unlimited curiosity and the desire to challenge the status quo
                                • You can take a vaguely defined issue and bring it to life using a creative approach
                                • Strong communication, time management and work organization skills
                                • The passion for developing world-class data products

                                Some nice-to-haves:

                                • Knowledge of DevOps modern tools such as Docker, Kubernetes, ELK;
                                • Knowledge of our tech stack: xgboost, LightGBM, Flask, MongoDB, Kafka

                                Here are a few reasons why others have joined our team:

                                • An award-winning, inspiring workplace that supports its people and recognizes great work
                                • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                • A comprehensive financial rewards program that recognizes your success
                                • An extensive, flexible benefits package
                                • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                • A $350 annual wellness account that promotes an active lifestyle

                                -
                                Closing Statement
                                -

                                Flexible Work Arrangements

                                Right now, we support 100% remote work, if your role permits. We anticipate that in November, we’ll be moving to a hybrid approach which gives us the best of both worlds – a mix of home and in-office workdays.

                                We are an Equal Opportunity Employer

                                At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                Background Checks

                                As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                Internal Candidates

                                For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                Eligibility to Work in Canada

                                It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                -
                                Referral Bonus
                                -

                                This role is eligible for employee referral bonus. #myReferrals3000


                                -
                                LinkedIn Sponsored
                                -

                                #LI-IT


                                -
                                ",,https://careers.intactfc.com/ca/en/job/123106/Senior-Machine-Learning-Software-Developer-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-11-22T16:46:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/93625907-senior-machine-learning-software-developer-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123106/Senior-Machine-Learning-Software-Developer-Intact-Lab,expired,2021-11-09T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b8103893-5f35-474e-8146-d8131fcb9845,93645749,Unity Health Toronto,"Full-Stack Developer (React/Redux, Python)",temporary,"Toronto, ON, Canada",2021-11-09T14:02:42.473Z,"

                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is a Machine Learning healthcare group that is creating data-driven software products for hospital end-users that increase hospital efficiency and improve patient care. The DSAA has deployed over 20 advanced analytics solutions into real clinical settings at St. Michael's Hospital, St. Joseph's Health Centre, Providence Healthcare, and external institutions, achieving reduced mortality rates, cost savings, and improved patient experiences across our deployment sites.

                                -

                                The Product Development team within the DSAA is responsible for creating software products that make advanced analytics accessible to hospital end-users and well-integrated into clinical workflows. We are accountable to both the Design (HCI, Data Visualization, UI/UX, Implementation) and Software Engineering (Backend, Frontend, Testing, DevOps, MLOps) required to realize data science products.

                                -

                                The Full Stack Developer will work closely with machine learning scientists, data engineers, and hospital end-users to bring machine learning models into clinical use through the creation of software applications. Our products include data dashboards, web applications, mobile applications, automated alerts, and integrations with EMR systems. Furthermore, the Full Stack Developer will help engineer the next generation of the DSAA's application infrastructure (MLOps, DevOps, CI/CD, monitoring).

                                -

                                We are seeking candidates who are passionate about contemporary challenges in healthcare and excited by the potential for innovations in computing to address them. We invite candidates with a demonstrated excellence in full-stack software engineering to apply.

                                -

                                Primary responsibilities include:

                                - -

                                Qualifications

                                - -

                                -

                                Work Arrangements

                                -

                                Location: Toronto Downtown (near St. Michael’s Hospital)

                                -

                                Remote Work Arrangement: In-office 1 or 2 days per week, remote work for rest of week (until further notice).

                                -

                                Benefits: HOOPP pension contributions, extended healthcare and dental, corporate discounts

                                -

                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy

                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=887935,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-11-29T17:19:00.000Z,False,0,4,60,https://talenthub.vectorinstitute.ai/jobs/93645749-full-stack-developer-react-redux-python-at-unity-health-toronto,,expired,2021-11-09T14:02:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -c2bc0f41-0c0f-40b7-9a51-4fe7d7107818,93847415,Sun Life Financial,"Lead Data Scientist/ Director, Data Science",on_site,"Ontario, Canada",2021-11-11T06:32:05.981Z,"
                                -
                                -
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                -

                                -

                                Job Description:

                                -

                                -

                                Role Summary

                                -

                                -

                                As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                -

                                -

                                Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                -

                                -

                                The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                • -
                                • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                • -
                                • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                • -
                                • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                • -
                                • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                • -
                                -

                                -

                                What do you need to succeed?

                                -
                                  -
                                • Genuine interest in life insurance and learning the business

                                • -
                                • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                • -
                                • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                • -
                                • 3+ years experience leading data science projects

                                • -
                                • 3+ years experience in managing and leading a small team of data scientists

                                • -
                                • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                • -
                                • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                • -
                                -

                                -

                                What will be nice to have?

                                -
                                  -
                                • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                • -
                                • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                • -
                                • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                • -
                                • Experience with data analytics and data visualization best practices

                                • -
                                -

                                -

                                What’s in it for you?

                                -
                                  -
                                • Competitive salary and bonus structure influenced by market range data

                                • -
                                • 20 days vacation per year and an innovative sabbatical program

                                • -
                                • A friendly, collaborative and inclusive culture

                                • -
                                • Being part of our Analytics community, where we share best practices and broaden skill sets

                                • -
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • -
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • -
                                -

                                -

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                Salary Range:

                                104,000/104 000 - 171,700/171 700

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                14/11/2021
                                -
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-15T06:37:02.343Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/93847415-lead-data-scientist-director-data-science-at-sun-life-financial,,expired,2021-11-11T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -e9e080a1-63a0-4c00-8dc3-4562be527a8e,93889471,Layer 6,Sr. DevOps Engineer,on_site,"Ontario, Canada",2021-11-11T16:33:33.729Z,"

                                You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                -

                                We are looking for world-class devops engineers and problem solvers.
                                You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                -

                                Job Requirements

                                -

                                Must-Have:

                                - -

                                Nice-to-Have:

                                - -

                                Benefits:

                                -",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-12-11T16:33:49.825Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/93889471-sr-devops-engineer-at-layer-6,,expired,2021-11-11T16:33:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -59efc1c3-73bb-469a-aa42-1a63c2c3d176,93995077,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2021-11-12T02:43:06.208Z,"

                                Job Type: Permanent
                                Primary Location: Multiple Locations, Canada
                                All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                -
                                -

                                -

                                Our Purpose

                                -

                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                -

                                -

                                Learn from deep subject matter experts through mentoring and on the job coaching
                                Partner with clients to solve their most complex problems
                                Uncover the possibilities of AI in your career and set the foundation for success tomorrow

                                -
                                -
                                -
                                -

                                -
                                -

                                -

                                Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                -
                                -
                                -
                                -

                                What will your typical day look like?

                                -
                                -

                                -

                                As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                -

                                Specifically, you will:

                                -
                                • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.
                                • -
                                -

                                -
                                -
                                -
                                -

                                About the team

                                -
                                -

                                -

                                Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                -


                                Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

                                -
                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -
                                -

                                -

                                You are someone with:
                                • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                • 5+ years of technology consulting or industry experience in data & analytics delivery
                                • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                • Effective communicator that can explain complex technical concepts to executives and business leaders

                                -

                                -

                                If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                -


                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                -
                                -
                                -
                                -

                                -

                                Our shared values

                                -

                                While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                -

                                They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                -

                                Every day, we live our Purpose through the following five shared values:

                                -
                                • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                • -
                                -



                                The next step is yours

                                -

                                Sound like The One Firm. For You? Apply by [insert date].

                                -

                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                -

                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-15T19:22:09.204Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/93995077-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2021-11-12T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -515bc987-a899-49fd-b0c8-5999fe7de81e,93995078,Deloitte,"Software Engineer (Collibra), Omnia AI",on_site,"Toronto, Ontario, Canada",2021-11-12T02:43:06.267Z,"

                                Job Type: Permanent
                                Primary Location: Toronto, Ontario, Canada
                                All Available Locations: Toronto; Calgary; Montreal

                                -

                                Learn from deep subject matter experts through mentoring and on the job coaching
                                Be encouraged to deepen your technical skills…whatever those may be.
                                Be empowered to lead and have impact with clients, our communities and in the office.

                                -
                                -
                                -

                                -

                                Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                -
                                -
                                -

                                What will your typical day look like?

                                -

                                As a Software Engineer (Collibra), Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                -
                                -
                                -

                                About the team

                                -
                                -

                                As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                -
                                • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, NoSQL solutions etc.,
                                • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                • Deploy and integration solutions on the cloud and on-premises.
                                • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                • -
                                -
                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -
                                -

                                You are someone with:

                                -
                                • Strong development skills in Java. Groovy experience is a plus.
                                • Solid understanding of databases, application architectures, open source frameworks etc.
                                • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                • Exposure to Agile development methods in data-oriented projects
                                • Knowledge of Linux, shell scripting etc.
                                • -
                                -

                                Strong candidates will also have some of the following capabilities:

                                -
                                • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                • -
                                -
                                -
                                -
                                -

                                Why Deloitte?

                                -

                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                -
                                • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                • -
                                -


                                The next step is yours

                                -

                                Sound like The One Firm. For You?

                                -

                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                -

                                -

                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-15T19:23:28.611Z,False,0,0,34,https://talenthub.vectorinstitute.ai/jobs/93995078-software-engineer-collibra-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-11-12T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, diff --git a/jobExport_chunk3.csv b/jobExport_chunk3.csv index 9eaee04..0e78d5f 100644 --- a/jobExport_chunk3.csv +++ b/jobExport_chunk3.csv @@ -1,1779 +1,2692 @@ token,id,company,title,remote,location,created_at,description,apply_email,apply_url,contact_email,company_url,transaction_price,revenue_share,expiration_date,featured,applicants_count,apply_link_click_count,views,url,reference,status,published_at,source_name,company_size,email_applications_or_application_click_through,job_industry,level_of_experience,minimum_degree_level,new_posting_or_repost,Type of Job Opportunity -8710eb3c-4023-4031-ad62-9aac4d4bcc02,94364467,Vector Institute,"Applied Machine Learning Specialist (ML Operations) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-11-14T05:44:10.145Z,"
                                -

                                POSITION OVERVIEW

                                -

                                -

                                As an Applied ML Specialist with Machine Learning Operations (MLOps) expertise, you will contribute to developing reusable machine learning (ML) systems and software to apply and scale research breakthroughs in ML and artificial intelligence (AI). You will collaborate with some of the best and brightest ML engineers and scientists at Vector and leading industry and healthcare organizations. You will collaborate with some of the best and brightest ML researchers.

                                -

                                -

                                KEY RESPONSIBILITIES

                                -

                                - -

                                -

                                PROFILE OF THE IDEAL CANDIDATE

                                -

                                - -

                                -

                                Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on October 31, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                -

                                -

                                Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                -

                                -

                                At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                +8d83ed9f-3fe2-477f-9f42-35f7572a0c2d,342353635,Accenture,Data Consultant,on_site,"Toronto, ON, Canada",2024-09-16T12:37:02.553Z,"
                                +

                                Job Description

                                +
                                +

                                We Are:
                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

                                +


                                You Are:
                                A hands-on data professional who knows how to develop, design, and maintain cloud data infrastructures that work for our clients. You have a strong foundation in implementing data solutions. With your experience in modern data technologies, you excel at transforming complex data challenges into actionable insights that drive business outcomes. You are a next-generation thinker, a collaborative team player when it comes to what we call Data in the New.

                                +

                                You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.

                                +

                                +

                                What You’ll Do:

                                +
                                • Understand our customers\' core business objectives and build end-to-end data centric solutions to address them
                                +
                                • Collaborate with the business systems analyst, to understand business requirements, and optimize data pipeline performance
                                +
                                • Build solutions leveraging big data and data management tools to meet projects’ requirements
                                +
                                • Construct code with good coding standard and practices to ensure high quality and minimum risks
                                +
                                • Closely work with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution
                                show more show less
                                +
                                +
                                +

                                Qualifications

                                +
                                +
                                +

                                What You Need:

                                +
                                  +
                                • A bachelor\'s degree or college program, preferably in computer science, or mathematics.
                                • +
                                • Bilingual (English and French). Effective written and spoken skills in both English and French.
                                • +
                                • Minimum 5 years of experience in designing and maintaining data pipelines, or data transformation, and data modelling
                                • +
                                +
                                • Experience in architecting and building scalable data platforms.
                                +
                                • Experience with 1 of the leading cloud service providers (Azure, AWS, Google, Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.).
                                +
                                • Experience with SQL and/or NOSQL databases
                                +
                                • Experience with 2 of 3 - Java, Scala, and Python programming languages
                                +
                                • English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                +

                                +

                                Bonus Points: 

                                +
                                • Production implementation experience for all qualifications listed
                                +
                                • Production experience in building real-time analytics applications
                                +
                                • Experience in both batch and stream processing technologies
                                +
                                • Machine learning experience with Spark or similar
                                +
                                • Certified Data or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
                                +
                                • Ability to manage numerous requests concurrently and be able to prioritize and deliver
                                +
                                • Effective communication skills
                                +

                                #LI-NA

                                +
                                +
                                +
                                +

                                +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                +
                                +

                                Our Commitment to Inclusion & Diversity

                                +

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                +

                                Requesting An Accommodation

                                +

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                +

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                +

                                Other Employment Statements

                                +

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                +

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                +
                                +
                                +
                                Apply Now
                                + Register for Job Alerts
                                Share
                                +
                                Share
                                +
                                Job Link:
                                Copy
                                +
                                +
                                +
                                +
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236435_en&title=Data%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,7,63,https://talenthub.vectorinstitute.ai/jobs/342353635-data-consultant-at-accenture,,expired,2024-09-16T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +1463f9d2-9b0d-416a-8216-75908b6f2653,343661523,Accenture,Digital Analytics - Personalization and Optimization Lead,on_site,"Toronto, ON, Canada",2024-09-26T08:44:03.156Z,"
                                +

                                Job Description

                                +
                                +

                                WHO WE ARE:

                                Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

                                +


                                There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Here’s a snapshot of your responsibilities:

                                +

                                +

                                THE WORK:

                                +

                                +
                                • Lead and manage a team that will perform assessments, develop strategies, and deliver roadmaps to help clients understand their current Personalization, A/B Testing, and Digital Analytics capabilities and opportunities.

                                • Leverage a variety of research techniques to inform Personalization and A/B Testing initiatives: competitive analysis, digital analytics, customer analytics, advertising analytics, surveys, usability evaluations, past initiatives, market trends, etc.

                                • Lead teams and manage clients through their deployment and tactical use of Personalization and A/B Testing platforms (Adobe Target, Adobe AJO, Salesforce Marketing Cloud Personalization [Interaction Studio], or similar) across digital properties including web, mobile apps, and email.

                                • Lead teams and manage clients through their use of Audience Platforms like Customer Data Platforms (CDPs) and Data Management Platforms (DMPs) (Salesforce CDP, Adobe AEP / RTCDP, Tealium, Lytics, ActionIQ, or similar)

                                • Develop and execute measurement strategies that tie organizational objectives to digital measurement solutions and communicate the value of solutions to a senior client audience

                                • Influence clients to understand, align-upon, and adopt Personalization and A/B testing best-practices

                                • Help businesses evolve organizational processes to better leverage data and insights

                                • +
                                +

                                show more show less
                                +
                                +
                                +

                                Qualifications

                                +
                                +
                                +

                                HERE’S WHAT YOU’LL NEED:

                                +
                                • + 5+ years of experience in digital marketing and digital analytics +
                                • +3+ years of experience in web personalization and a/b testing: experience with test and learn strategies, configuring optimization tools and deploying testing programs for campaigns and brand experiences +
                                • + Intermediate knowledge of web technologies (notably HTML, CSS, and JavaScript) +
                                • + Experience with digital analytics, CDP, and tag management solutions and differences between providers (ex: Adobe, Salesforce, Google, Tealium, Lytics, etc.) +
                                • + Experience performing analytics on digital data sources (e.g., digital analytics data, digital advertising data, audience data, social data, search data, etc.) +
                                • + Experience using, implementation, and managing the collection and activation of data across systems +
                                • + Proven ability to work creatively and analytically in a problem-solving environment +
                                • + Proven ability to bring a strategic mindset and deep thinking across sales and delivery +
                                • + Proficiency in MS PowerPoint +
                                • + English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement. +
                                • +
                                +

                                +

                                BONUS POINTS IF:

                                +
                                • + Solid understanding of user experience research & design +
                                • + Ability to communicate measurement and data-oriented business objectives to a senior audience +
                                • + Technical understanding of how digital analytics and tag management solutions are deployed and leveraged (ex: Adobe Analytics, Google Analytics, Adobe Customer Journey Analytics [CJA], etc.) +
                                • + Ability to manage deployments and strategically advise on future data collection and measurement solutions +
                                • + Passionate about data, analytics and technology (ex: avid consumer of TED talks, Wired Magazine, MarTech.org, etc.) +
                                • + Experience with client-facing projects ideally in consulting, agency or other business-related services +
                                • + Experience helping organizations with data strategy and architecture for marketing activation +
                                • + Ability to take complex solutions and make them simple to understand +
                                • +
                                +

                                +

                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                +

                                Information on benefits is here.

                                +

                                Role Location Annual Salary Range

                                +

                                British Columbia $89,500 to $204,100

                                +

                                #LI-NA

                                +
                                +

                                Locations

                                +
                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                +
                                +
                                +

                                +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                +
                                +

                                Our Commitment to Inclusion & Diversity

                                +

                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                +

                                Requesting An Accommodation

                                +

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                +

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                +

                                Other Employment Statements

                                +

                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                +

                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                +
                                +
                                +
                                Apply Now
                                + Register for Job Alerts
                                Share
                                +
                                Share
                                +
                                Job Link:
                                Copy
                                +
                                +
                                +
                                +
                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236246_en&title=Digital%20Analytics%20-%20Personalization%20and%20Optimization%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-14T08:49:02.301Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/343661523-digital-analytics-personalization-and-optimization-lead-at-accenture,,expired,2024-09-26T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +046a458e-c5b3-4989-892a-70ee18640036,342370934,CentML,Machine Learning Systems Engineer,hybrid,"Toronto, ON, Canada",2024-09-16T17:52:16.580Z,"

                                About Us
                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
                                Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

                                As a Machine Learning Systems Engineer, you will

                                - Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems.- Design and implement novel solutions to solve the problems.- Survey and possibly reproduce the state-of-the-art research work; analyze and evaluate if the ideas from the research work could be applied to our solutions.- Write unit tests and benchmarks to validate and evaluate our solutions.

                                -

                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                -
                                ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=152&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-12-15T19:44:00.000Z,False,0,4,70,https://talenthub.vectorinstitute.ai/jobs/94364467-applied-machine-learning-specialist-ml-operations-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-11-14T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, -95a2a2cd-754c-4bb5-bcea-89738fbee008,94590932,TD Bank Group,"Senior Business Insights Analyst, TD Wealth",on_site,"Toronto, ON",2021-11-15T20:32:08.223Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +

                                You may be a good fit, if you have:

                                +
                                    +
                                  • 2+ years of experience in researching or contributing to ML/DL systems and frameworks (including the time of being a graduate student).
                                  • +
                                  • Excellent communication skills and the ability to work in a team.
                                  • +
                                  • Strong coding skills (in at least one of Python and C++).
                                  • +
                                  • Solid fundamentals in machine learning and deep learning topics.
                                  • +
                                  • Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc.
                                  • +
                                  • Experience with GPU architecture and programming: CUDA and its related libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.); ROCm and its related libraries and toolkits.
                                  • +
                                  • Experience with TPU.
                                  • +
                                  • Strong academic records for candidates with bachelor’s degrees. Strong publication records in top ML/DL or computer system and architecture venues for candidates with master or PhD degrees.
                                  • +
                                +

                                Benefits & Perks- An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/63b203c6-b3de-449f-9be1-33dabc579499,careers@centml.ai,https://centml.ai/,,,2024-10-16T17:52:32.877Z,False,0,27,138,https://talenthub.vectorinstitute.ai/jobs/342370934-machine-learning-systems-engineer-at-centml,,expired,2024-09-16T17:52:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, +c2d0f04b-b41d-4b5f-b229-22092420d252,341822113,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-09-12T16:28:02.894Z,"
                                +
                                +

                                What\'s the opportunity?

                                +

                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                +

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                +
                                +
                                +

                                Your responsibilities include:

                                +
                                  +
                                • Developing novel AI solutions that facilitate impactful products;
                                • +
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                • +
                                • Working with the development team to transfer research work into production;
                                • +
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • +
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                • +
                                -

                                -

                                Department Overview

                                -
                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                -

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                +
                                +

                                You’re our ideal candidate if you have:

                                +
                                  +
                                • A passion for solving open problems using data and algorithms;
                                • +
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • +
                                • Ability to formulate and drive a research project independently without close supervision;
                                • +
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                • +
                                -

                                -

                                Job Description

                                -
                                -

                                About this Role

                                -

                                As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                -

                                In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                -

                                As a Senior Business Insights Analyst, you will:

                                +
                                +

                                What’s in it for you?

                                +
                                  -
                                • Work closely with business partners to gain deep understanding of the business objectives, produce insights and recommend business actions to align with strategy and/or solve business problems
                                • -
                                • Develop analysis to illustrate business trends and identify areas of business opportunities
                                • -
                                • Present and communicate generated insights and recommended business actions to executive leaders/business partners in an easily digestible manner
                                • -
                                • Execute on data and insight requests accurately and within a timely manner
                                • -
                                • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                • -
                                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                • -
                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • -
                                • -Work independently and/or oversee as the senior analyst/subject matter expert and be accountable within a specialized business management function
                                • +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                +

                                About Borealis AI

                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD?

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Five (5) or more years relevant experience
                                • -
                                • Hands on experience in Python/PySpark, Tableau, and SQL
                                • -
                                • Experience in modeling (ML algorithms) is highly desirable
                                • -
                                • Management consulting and/or MBA background is preferable
                                • -
                                +
                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                +
                                +
                                ",,https://www.borealisai.com/careers/?gh_jid=7634549002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-10-16T18:22:16.850Z,False,0,22,103,https://talenthub.vectorinstitute.ai/jobs/341822113-machine-learning-researcher-at-borealis-ai,,expired,2024-09-12T16:28:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +49e95987-2ce5-4e7e-894c-d84429b453a1,344787654,Roche,Principal Bioinformatics Software Engineer,on_site,"Ontario, Canada",2024-10-03T08:58:02.395Z,"
                                +

                                Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                +

                                +

                                +

                                The Position

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/14227996/senior-business-insights-analyst-td-wealth-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-02T20:37:07.650Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/94590932-senior-business-insights-analyst-td-wealth-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14227996/senior-business-insights-analyst-td-wealth-toronto-ca/,expired,2021-11-15T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -add13d46-ffe7-4135-b73a-6852800371d8,26340240,Sun Life Financial,Director - Data Science,on_site,"Waterloo, ON, Canada",2019-12-09T21:45:49.981Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                Creating a world where we all have more time with the people we love.

                                -

                                Job Description:

                                -

                                This role will lead analytics initiatives within the Solutions Research & Development team, with particular emphasis on analysis that will inform product design, client engagement and profitability.

                                +

                                That’s what makes us Roche.

                                -

                                As a data scientist, you will be part of a large analytics community and will be focused within the Individual Insurance business responsible for data science, data flows, visualization, machine learning and business intelligence.

                                +

                                Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.

                                +

                                -

                                Within SLF Canada, Individual Insurance is one of the largest business units. Individual Insurance accounts for approximately 20% of worldwide earnings in the overall Sun Life Financial group of companies, and over 40% of Canadian earnings. We manufacture and distribute leading-edge life insurance and health insurance products and solutions for over two million individual customers.

                                +

                                As a Principal Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.

                                -

                                What will you do?

                                +

                                Your Opportunity

                                  -
                                • Lead and participate in agile problem solving initiatives, collaborating within a cross functional team of specialists, to design innovative solutions for clients and business leaders
                                • -
                                • A self starter with demonstrated success in using analytics to drive innovation with experience in guiding initiatives with our business partners
                                • -
                                • Apply data science expertise including descriptive, predictive, machine learning, deep learning and AI techniques to generate new insights and solve business problems.
                                • -
                                • Manage a small team of data scientists and analysts which includes prioritizing work assignments, overseeing quality of analytics work, and staff mentoring
                                • -
                                • Collaborate with IT partners and other Data Science teams within the Canadian business to build out the data environment and analytics work platforms
                                • -
                                • Develop standard operational performance metrics, reporting and data analytics to support dashboard level management metrics
                                • -
                                • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area.
                                • -
                                • Proactively engage other leaders on business solution development for knowledge sharing, input and best practices.
                                • -
                                • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
                                • -
                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
                                • +
                                • Design, develop, and implement high-performance bioinformatics algorithms for analyzing NGS data, including variant calling, quality control, and data preprocessing.

                                • +
                                • Continuously optimize and refactor existing algorithms to improve performance and reduce resource utilization, enabling efficient analysis of large-scale genomic datasets.

                                • +
                                • Ensure the reliability and accuracy of bioinformatics algorithms by writing rigorous test suites and collaborating with quality assurance teams to validate results.

                                • +
                                • Integrate bioinformatics algorithms into the company\'s software platforms, ensuring seamless compatibility with existing pipelines and workflows.

                                • +
                                • Collaborate with biologists, data scientists, and other software engineers to understand the specific requirements and constraints of NGS data analysis for diagnostics and internal research.

                                • +
                                • Create detailed documentation for algorithms, code, and workflows to facilitate knowledge transfer and ensure reproducibility.

                                • +
                                • Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and learning within the team.

                                -

                                What will you need to succeed?

                                +

                                Who you are

                                  -
                                • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and multiple business units.
                                • -
                                • Communication (verbal and written) and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics
                                • -
                                • Deep knowledge and experience of the algorithms and techniques of modern data science especially as they pertain to business and experimentation
                                • -
                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
                                • -
                                • 2+ years of quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports
                                • -
                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
                                • -
                                • Comfortable using one or more statistical programming languages (i.e., Python/R/SAS) to work with data sets
                                • +
                                • Bachelor\'s or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field with 5 plus years\' of experience in relevant bioinformatics tools and libraries.

                                • +
                                • Strong proficiency in C++, with knowledge of scientific computing programming languages like Python and R

                                • +
                                • Experience with parallel computing, optimization, and performance tuning.

                                • +
                                • Experience with deeply understanding and optimizing complex algorithms.

                                • +
                                • Excellent problem-solving skills, attention to detail, and effective communication and teamwork abilities.

                                -

                                What is in it for you?

                                +

                                Preferred

                                  -
                                • Competitive salary and bonus structure influenced by market range data
                                • -
                                • 4 weeks vacation
                                • -
                                • A friendly, collaborative and inclusive culture
                                • -
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                • +
                                • Experience working in a regulated environment (e.g., ISO 13485, CLIA) is a plus.

                                • +
                                • Proven experience in developing bioinformatics algorithms for NGS data analysis.

                                -

                                Please note that salary is not a constraint for the right candidate.

                                -

                                -

                                When a new position becomes available which matches your background and experience, the base pay range will be disclosed and correspond to the opportunity Sun Life will consider you for.

                                -

                                -

                                In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                -

                                Job Category:

                                -

                                Advanced Analytics

                                -

                                -

                                Posting End Date:

                                -

                                05/01/2020

                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Director---Data-Science_JR00026358,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-01-13T20:17:00.000Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/26340240-director-data-science-at-sun-life-financial,,expired,2019-12-09T15:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -0cd4b88b-29cf-484e-a43c-88aeb6f87c25,26340851,Sun Life Financial,Senior Data Engineer,on_site,"Toronto, ON, Canada",2019-12-09T21:56:03.755Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                Job Description:

                                -

                                To be considered for this position, you are required to complete two steps in the application process. You will need to submit an online job application and complete an online assessment.

                                +

                                Relocation benefits are not available for this posting

                                -

                                Join a team that is transforming business data engineering at Sun Life (SL) Canada. Sun Life’s Client Experience Office (CXO) area is aggressively enhancing its member insights capability with new tools, and most importantly, new talent. As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, predictive modelling, business intelligence and deep dive analytics to understand our client needs in new ways, and ultimately enable a leading client experience. As Data Engineer you will join a team that leverages our Big Data capabilities to enable various business objectives by ensuring there is a solid data foundation in place to support data mining, strategic insight and digital capability enablement. In joining CXO you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                +

                                #tech4lifeSoftwareDevelopment

                                +

                                #tech4life

                                +

                                #LI-Hybrid

                                -

                                Given this mandate, the role requires an experienced data specialist (6+ years) with deep experience in data management, a solid understanding of the data needs of analytics and business and new technologies in the world of data. The candidates must have relevant experience in the following areas:

                                +

                                Who we are

                                +

                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                +

                                +

                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                +

                                +

                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                +
                                +

                                +

                                Roche is an Equal Opportunity Employer.

                                +
                                +
                                ",,https://careers.roche.com/global/en/job/202405-113384/Principal-Bioinformatics-Software-Engineer,feed-importer@jobboard.io,,,,2024-10-17T19:45:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/344787654-principal-bioinformatics-software-engineer-at-roche,,expired,2024-10-03T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +74301338-3e56-4eb5-94b1-3604c90eccca,345360264,BMO Financial Group,"Manager, Risk Reporting and Loss Forecasting",on_site,"Ontario, Canada",2024-10-07T08:18:01.636Z,"
                                +

                                Application Deadline:

                                10/16/2024

                                +

                                +

                                Address:

                                33 Dundas Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                  -
                                • -Data Management – i.e. design, development, production support
                                • -
                                • Knowledge on the data needs for various aspects of data and analytics
                                • -
                                • Communication and liaison experience between business, analytics and IT
                                • -
                                • -Data discovery - i.e. scoping new data sources, understanding and leveraging current data sources
                                • +
                                • Acts as a trusted advisor to assigned business/group.
                                • +
                                • Influences and negotiates to achieve business objectives.
                                • +
                                • Recommends and implements solutions based on analysis of issues and implications for the business.
                                • +
                                • Assists in the development of strategic plans.
                                • +
                                • Identifies emerging issues and trends to inform decision-making.
                                • +
                                • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
                                • +
                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                • +
                                • Conducts independent analysis and assessment to resolve strategic issues.
                                • +
                                • Leads the development and maintenance of the risk reporting framework.
                                • +
                                • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                • +
                                • Ensures alignment between stakeholders.
                                • +
                                • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                                • +
                                • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                • +
                                • May provide specialized support for other internal and external regulatory requirements.
                                • +
                                • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                                • +
                                • Leads/participates in the design, implementation and management of core business/group processes.
                                • +
                                • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                • +
                                • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                • +
                                • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                • +
                                • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                • +
                                • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                • +
                                • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                                • +
                                • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                • +
                                • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                • +
                                • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                • +
                                • Provides information and supports the process for internal and external audits.
                                • +
                                • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                • +
                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                • +
                                • Builds effective relationships with internal/external stakeholders.
                                • +
                                • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                • +
                                • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                • +
                                • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                • +
                                • Organizes work information to ensure accuracy and completeness.
                                • +
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • +
                                • Provides specialized consulting, analytical and technical support.
                                • +
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • +
                                • Works independently and regularly handles non-routine situations.
                                • +
                                • Broader work or accountabilities may be assigned as needed.

                                  Qualifications:

                                  +
                                • +
                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • +
                                • In-depth knowledge of risk management metrics, KPIs and KRIs.
                                • +
                                • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
                                • +
                                • In-depth product knowledge for the designated business/portfolio.
                                • +
                                • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
                                • +
                                • In-depth knowledge of reporting & analytics concepts and applications.
                                • +
                                • In-depth knowledge of risk systems technology.
                                • +
                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                • +
                                • Verbal & written communication skills - In-depth.
                                • +
                                • Collaboration & team skills - In-depth.
                                • +
                                • Analytical and problem solving skills - In-depth.
                                • +
                                • Influence skills - In-depth.
                                • +
                                • Data driven decision making - In-depth.
                                -

                                -

                                The successful candidate for the role will be a key player in our venture into “Big Data” as we operationalize our Big Data and Advanced Data Engineering environment on AWS.

                                +

                                -

                                Role Summary:

                                +

                                Salary:

                                +
                                $68,000.00 - $126,000.00

                                +

                                Pay Type:

                                Salaried

                                +

                                The above represents BMO Financial Group’s pay range and type.

                                +

                                +

                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                +

                                +

                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-17T08:23:03.218Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/345360264-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,expired,2024-10-07T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +07b6cc15-04f3-4912-8495-50c1c225eb1c,344787083,Canadian Tire Corporation,Senior Insights & Modelling Analyst,on_site,"Ontario, Canada",2024-10-03T08:40:02.198Z,"
                                +

                                As a Senior Insights & Modelling Analyst, you will be responsible for providing analytical support to key clients within the business. Specifically, you will become a significant contributor of actionable insights which will drive strategy, support with tactical initiatives, as well as improve efficiency within the organization. Your analysis and business intelligence tools will help promote and sustain the profitable growth of the business. You are the type of individual who can energize the people around you and inspire fellow employees and shareholders with your natural curiosity and problem-solving ability.

                                +

                                +

                                What will you do?

                                  -
                                • Maintain a large and complex SAS data repository that provides accurate and reliable data to support analytics, reporting and campaigns in support of digital channels.
                                • -
                                • Migrate SAS data processes to Python and Spark Processes with various technologies
                                • -
                                • Work intimately for building a data consumption layer working with business
                                • -
                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.
                                • -
                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
                                • -
                                • Experience with demonstrating business values via PoC and promoting PoC to production
                                • -
                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences
                                • +
                                • Establish a strong understanding of financial and customer related data sources, with emphasis on delivering data driven solutions.

                                • +
                                • Support the development of sound analytical models utilizing various data sources. Understand the statistical significance of various model outputs and how to interpret them for creating business value.

                                • +
                                • Where possible, enhance analysis with the use of statistical methods to provide support for findings.

                                • +
                                • Support cross functional teams with knowledge of data model applications and use cases.

                                • +
                                • Extract, manipulate and interpret data to isolate on key trends. Summarize findings into concise and informative reports and presentations, which can be easily interpreted by business partners across the organization.

                                • +
                                • Provide proactive analyses on areas of the business which are influenced by customer behaviour trends.

                                -

                                Main Accountabilities

                                +

                                You will join an enthusiastic, fast-paced, and dynamic team at Canadian Tire. Sustained exceptional performance, innovation, creativity, insight, good judgment, and attention to detail are daily requirements.

                                +

                                +

                                What do you bring to the team?

                                  -
                                • Provide expert guidance on developing the structure and processes to build a Big Data repository (includes basic ETL type processes, QA etc.).
                                • -
                                • Work as Product Owner of data products in agile methodology as per the business priority and migrate from SAS to AWS Big Data Environment
                                • -
                                • Assist in the initial build of the analytical data model (i.e. developing the SAS/SQL/HQL/Python/Spark/Scala code and data processes)
                                • -
                                • Develop and maintain metadata documentation
                                • -
                                • Manage, maintain and continuously improve the data model on an ongoing basis.
                                • -
                                • Productionize and run models, reports and campaign lists.
                                • -
                                • Help develop and align CXO data capabilities with Enterprise Analytics initiative roadmap
                                • -
                                • Liaison with IT to improve data processes and add new data as required
                                • -
                                • Become one of the organizations top data experts and CXO data steward ensuring data is appropriately interpreted and applied to business problems.
                                • -
                                • Assisting modelers with developing datasets for analyses.
                                • -
                                • Support campaign target list generation, analyses, measurement and reporting
                                • -
                                • Develop a solid understanding the Sun Life Financial Canada’s business
                                • -
                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
                                • +
                                • Sound knowledge of data science models and techniques

                                • +
                                • Experience with extracting and working with large customer data sets

                                • +
                                • Flexibility, energy, and ability to work well with others in a team environment

                                • +
                                • Draw meaningful conclusions/insights from large amounts of data

                                • +
                                • Working knowledge of data management and design

                                • +
                                • Passion for data, technology, and implementing technology for process improvement

                                • +
                                • Flexibility, energy, and ability to work well with others in a team environment

                                -

                                Competencies:

                                +

                                What are your skills and experience?

                                  -
                                • Solid communication skills – have the ability to explain complexity of data to a business audience and explain the complexity of business to the IT audience
                                • -
                                • Through knowledge and demonstrated experience in data management best practices (importing, cleaning, transforming, validating, quality and modeling data)
                                • -
                                • Expert in SQL programming and database development (mandatory 5+ years’ experience)
                                • -
                                • Intermediate SAS skills are required with knowledge of Macros
                                • -
                                • Intermediate HQL/Python/Spark Skills are required
                                • -
                                • Demonstrated experience in data preparation and querying and reporting
                                • -
                                • Demonstrated data modelling skills and experience
                                • -
                                • Additional professional development in various studies in information technology, business and Statistics
                                • -
                                • Adaptable - maintains effectiveness while managing competing demands, able to deal with frequent change, delays or unexpected events
                                • -
                                • Organized, takes ownership to meet deadlines and commitments
                                • -
                                • Agile team members demonstrate strong past indicators to:
                                    -
                                  • Maintain an ownership mentality
                                  • -
                                  • Quickly make decisions to accelerate data POCs to production
                                  • -
                                  • Drive execution from ideation, to development, through to execution
                                  • -
                                  • Collaborate with teammates to provide insight to business problems
                                  • -
                                  • Advocate for the client, leveraging insights that can drive meaningful marketing tactics
                                  • -
                                  -
                                • +
                                • University Degree in Business, Accounting, Finance, Economics, Mathematics, Statistics, or other quantitative discipline

                                • +
                                • Intermediate knowledge of Microsoft Excel & PowerPoint

                                • +
                                • Advanced knowledge of SQL

                                • +
                                • Advanced knowledge of data and analytical software (SAS, Python or R)

                                • +
                                • Experience in Retail or Banking Industry an asset in any of the following areas: marketing or sales support, operations, finance

                                -

                                Assets

                                +

                                How will you create impact?

                                  -
                                • Strong programming in any other language and analytical skills
                                • -
                                • Knowledge of AWS Technologies, such as Redshift, Glue or similar
                                • -
                                • Experience working with agile methodologies (Scrum, Kanban etc.)
                                • -
                                • Expert skills in both SAS and Python are highly preferred
                                • +
                                • Collaborate across teams to create synergies and support with analytical solutions.

                                • +
                                • Actively engage with data teams to continuously improve on data mart capabilities.

                                • +
                                • Collaborate across teams to create synergies and bridge knowledge gap between data and analytics.

                                • +
                                • Support Decision Support teams with delivery of effective storylines.

                                • +
                                • Actively engage with data teams to continuously improve on data mart capabilities.

                                • +
                                • Manage project timelines through effective communication and feedback loops.

                                -

                                The candidate that will be retain for this role will have to go through a special clearance from the Royal Canadian Mountain Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.... in applying? Submit a job application by clicking “Apply” and complete an online assessment within 24 hours of submitting your job application using the link below.

                                Click on this link: https://apply.careerspark.com/j/ac7lVkVylSVG/l/JVxGM3OtFygF to complete the online assessment after you submit your application. You will need to register with our partner Career Spark, using the same e-mail address used for your job application. If you complete this assessment before submitting your job application then you must return to this job posting again to complete your online job application by clicking “Apply”.

                                +

                                Hybrid

                                +

                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                #LI-GM1

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                About Us

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                Our Commitment to Diversity, Inclusion and Belonging

                                -

                                Salary Range:

                                -

                                67,400/67 400 - 110,100/110 100

                                +

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                -

                                Job Category:

                                -

                                Advanced Analytics

                                +

                                Accommodations

                                -

                                Posting End Date:

                                -

                                01/01/2020

                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Data-Engineer_JR00025583,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-01-13T20:17:00.000Z,False,0,7,29,https://talenthub.vectorinstitute.ai/jobs/26340851-senior-data-engineer-at-sun-life-financial,,expired,2019-12-09T21:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -6b20394d-bd67-4897-9490-239afa1d8334,26340977,Magna International,Senior BI Developer/Analyst,on_site,"Toronto, ON, Canada",2019-12-09T21:58:35.629Z,"

                                Group Description

                                -

                                At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                -

                                Role Summary

                                -

                                The Business Intelligence (BI) Developer/Analyst will be responsible for interpreting the business needs of stakeholders and for documenting and developing the reporting analytics that meet those needs. This includes the design, development, maintenance, integration and reporting of business systems through cubes, ad-hoc reports, and dashboards. The Business Intelligence Developer/Analyst will work closely and effectively with internal stakeholders and business analysts to provide support and expertise in data management, reporting and underlying infrastructure. This senior position will also need to cover oversight and guidance on deliverables provided by external partners as well a supervising & leading role in the team.

                                -

                                Key Responsibilities

                                +

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                +

                                +
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Senior-Insights---Modelling-Analyst_JR138757?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-17T08:45:01.870Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/344787083-senior-insights-modelling-analyst-at-canadian-tire-corporation,,expired,2024-10-03T08:40:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +31d1fbc1-a158-4ad7-9069-b3f6fb06ba5c,342644486,CentML,Software Engineer - Compiler,on_site,"Toronto, ON, Canada",2024-09-18T22:55:00.266Z,"

                                About Us

                                +

                                We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
                                Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

                                +

                                Overview:

                                +

                                Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

                                +

                                Responsibilities:

                                +
                                    +
                                  • Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems (e.g., slow kernels).
                                  • +
                                  • Figure out where the bottleneck of the slow GPU kernels with profilers
                                  • +
                                  • Optimize the GPU kernels.
                                  • +
                                  • Write tests and benchmarks to validate and evaluate our solutions.
                                  • +
                                +

                                Who you are:

                                +
                                    +
                                  • Bachelors or higher degree in Computer Science or Engineering.
                                  • +
                                  • Excellent communication skills and the ability to work in a team.
                                  • +
                                  • Strong coding skills (in at least one of Python and C++).
                                  • +
                                  • Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc.
                                  • +
                                  • Strong academic records for candidates with bachelor’s degrees.
                                  • +
                                +

                                You will stand out from the crowd if you have:

                                +
                                    +
                                  • 2+ years of experience in researching or contributing to HPC/ML/DL systems, frameworks or libraries (including the time of being a graduate student).
                                  • +
                                  • Experience with GPU architecture and GPGPU programming:
                                  • +
                                  • NVIDIA GPUs: CUDA programming and libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.);
                                  • +
                                  • AMD GPUs: ROCm and its related libraries and toolkits.
                                  • +
                                  • OpenCL
                                  • +
                                  • Experience with developing high-performance kernels for CPUs.
                                  • +
                                  • Experience in developing ML or traditional compilers.
                                  • +
                                  • Experience with TPU.
                                  • +
                                  • Strong publication records in top HPC/ML/DL or computer system and architecture venues.
                                  • +
                                +

                                Benefits & Perks

                                +

                                An open and inclusive work environment- Employee stock options- Best-in-class medical and dental benefits- Parental Leave top-up for 6 months- Professional development budget- Flexible vacation time to promote a healthy work-life blend
                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

                                +

                                CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.
                                Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

                                ",,https://jobs.lever.co/centml/6519922a-16dd-4f82-bd5e-6105ddbfa8e7,aitalent@vectorinstitute.ai,https://centml.ai/,,,2024-10-18T22:55:02.511Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/342644486-software-engineer-compiler-at-centml,,expired,2024-09-18T22:55:00.000Z,admin,Scaling (20-499),Application Click Through,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Bachelors Degree,New Posting, +4dccbf45-735d-4953-a08d-3d25ee9a6ae1,342709642,Layer 6,Machine Learning Product Engineer,on_site,"Toronto, ON, Canada",2024-09-19T11:29:37.741Z,"

                                Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                                +

                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                +

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                +

                                Job Description:

                                +

                                Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                                +

                                Customer Accountabilities:

                                  -
                                • Work with the business to define report requirements and translate those requirements into reporting deliverables
                                • -
                                • Design complex business intelligence and analytic solutions based on functional requirements.
                                • -
                                • Translate data results into written reports, tables, graphs and charts
                                • -
                                • Ensure the availability and performance of the solutions and reports
                                • -
                                • Participate in and lead functional and technical specification reviews
                                • -
                                • Research technical solutions to business problems
                                • -
                                • Develop/train on company standards and procedures to support self-service BI
                                • -
                                • Provide training and technical assistance to other team members and users for generation of various types of reporting
                                • +
                                • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                                • +
                                • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                                • +
                                • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                                • +
                                • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                                • +
                                • Act as the expert or lead innovator and agent of change for the programs and services under management
                                • +
                                • Work with other teams to implement best practices for engineering and management
                                • +
                                • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                                • +
                                • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                                • +
                                • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                                -

                                Key Qualifications/Requirements

                                +

                                Shareholder Accountabilities:

                                +
                                  +
                                • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                                • +
                                • Monitor and control costs within own work
                                • +
                                • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                                • +
                                • May develop and/or contribute to negotiations of third party contracts/agreements
                                • +
                                • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                                • +
                                • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                                • +
                                • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                                • +
                                • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                                • +
                                • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                                • +
                                • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                • +
                                • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                • +
                                • Maintain the model in production and ensure the data/model related knowledge continuation within L6
                                • +
                                +

                                Job Requirements:

                                +

                                Employee/Team Accountabilities:

                                +
                                  +
                                • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
                                • +
                                • Prioritize and manage own workload in order to deliver quality results and meet timelines
                                • +
                                • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                • +
                                • Participate in knowledge transfer with senior management, the team, other technical areas and business units
                                • +
                                • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                                • +
                                • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                                • +
                                +

                                Breadth and Depth:

                                  -
                                • Competion of University Degree
                                • -
                                • 3 to 5 Years of Work Replated Experience
                                • +
                                • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
                                • +
                                • Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
                                • +
                                • Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
                                • +
                                • Acts as a key contributor in a complex and critical environment
                                • +
                                • May provide leadership to teams or projects; shares expertise
                                • +
                                • Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
                                • +
                                • Generally reports to a Senior Manager or above
                                -

                                Skills & Competencies

                                +

                                Experience and/or Education:

                                  -
                                • Experience in developing reporting or dashboard solutions with BI tools (
                                  PowerBI preferred)
                                • -
                                • Experience in creating data models (SSAS Tabular Model preferred)
                                • -
                                • Proficiency in ETL and Data Warehouse concepts
                                • -
                                • Strong SQL and scripting skills
                                • -
                                • Advanced skills in Microsoft BI stack (SSAS, SSRS, Power Pivot, Power View, PowerBI)
                                • -
                                • Experience with big data tools (Hadoop, Hive, Spark, etc.) would be nice to have
                                • -
                                • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                • -
                                • Ability to be a strong team member, and communicate effectively
                                • -
                                • Ability to priortize and multi-task, and responably estimate work effort for tasks
                                • +
                                • University or post-graduate degree
                                • +
                                • Strong academic background (e.g., computer science, engineering)
                                • +
                                • 7 + years relevant experience
                                -

                                Additional Information

                                +

                                Additional Information:

                                +

                                Required Technical Skills

                                  -
                                • Must be able to communicate in English, both spoken and in written form
                                • -
                                • 10-25% Regular Overnight Travel
                                • -
                                ",,https://jobs.magna.com/job/Concord-Senior-BI-DeveloperAnalyst/537643517/utm_source=VectorInstitute,aimasters@vectorinstitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2020-02-17T21:59:00.000Z,False,0,8,40,https://talenthub.vectorinstitute.ai/jobs/26340977-senior-bi-developer-analyst-at-magna-international,,expired,2019-12-09T21:58:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, -fdf3a935-b4d2-4d05-939a-7a8b78f8318f,26900800,PwC,Analytics - Analytics Generalist - Senior Associate,on_site,"Toronto, ON, Canada",2019-12-20T19:18:57.966Z,"

                                Line of Service

                                -

                                Advisory

                                +
                              • BSc+ in Computer Science, Math, Physics, or similar
                              • +
                              • 2+ years of extensive programming experience, at least 1 year in building production data systems
                              • +
                              • 1+ year experience of building machine learning production system
                              • +
                              • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                              • +
                              • Good knowledge of Machine Learning and Deep Learning
                              • +
                              • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                              • +
                              • Strong experience with Scala and Java 8
                              • + +

                                Nice to have Skills

                                +
                                  +
                                • C++, Python experience
                                • +
                                • Experience in systems/infrastructure projects on AWS and Azure
                                • +
                                +

                                Benefits

                                +
                                  +
                                • Entrepreneurial and inclusive culture
                                • +
                                • Excellent health coverage and pension plan
                                • +
                                • Four weeks paid vacation
                                • +
                                • Catered lunches twice a week over machine learning talks
                                • +
                                ",careers@layer6.ai,,careers@layer6.ai,https://layer6.ai/careers/,,,2024-10-19T11:29:41.428Z,False,3,0,126,https://talenthub.vectorinstitute.ai/jobs/342709642-machine-learning-product-engineer-at-layer-6,,expired,2024-09-19T11:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +afa9fdc4-80c9-4c69-b447-f0d9401eafb8,346256341,Google,"Software Developer III, AI/Machine Learning",on_site,"Toronto, ON, Canada",2024-10-14T08:34:02.725Z,"
                                +
                                +

                                Software Developer III, AI/Machine Learning

                                +
                                +
                                +
                                +
                                +share +
                                +
                                  +
                                • +linkCopy link +
                                • +
                                • +emailEmail a friend +
                                • +
                                +
                                +
                                +
                                +
                                +corporate_fareGoogleplaceWaterloo, ON, Canada
                                +
                                +
                                +
                                +bar_chartMid +
                                +
                                +

                                Mid

                                +
                                Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
                                +
                                +
                                +
                                +
                                +
                                +Apply
                                +
                                +
                                +
                                +
                                +
                                +share +
                                +
                                  +
                                • +linkCopy link +
                                • +
                                • +emailEmail a friend +
                                • +
                                +
                                +
                                +
                                +
                                +

                                Minimum qualifications:

                                +
                                  +
                                • Bachelor’s degree or equivalent practical experience.
                                  +
                                • +
                                • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
                                  +
                                • +
                                • 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing.
                                  +
                                • +
                                • Experience with Large Language Models, NLP, or Generative AI.
                                  +
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                  +
                                • +
                                • Experience developing accessible technologies.
                                  +
                                • +
                                +
                                +
                                +

                                About the job

                                +

                                Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                +

                                Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                +
                                +
                                +

                                Responsibilities

                                +
                                  +
                                • Write product or system development code.
                                • +
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                  +
                                • +
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                  +
                                • +
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                  +
                                • +
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                  +
                                • +
                                +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                +

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                +

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                +

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                +

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                +
                                +
                                ",,https://www.google.com/about/careers/applications/jobs/results/86101750351569606-software-developer-iii-aimachine-learning?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/346256341-software-developer-iii-ai-machine-learning-at-google,,expired,2024-10-14T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +ead3141b-411f-4852-b98c-e98b5aad9b18,346634030,Google,"Staff Developer Relations, Platform, AI",on_site,"Toronto, ON, Canada",2024-10-17T08:34:01.551Z,"
                                +
                                +

                                Staff Developer Relations, Platform, AI

                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +

                                Minimum qualifications:

                                +
                                  +
                                • Bachelor\'s degree in Computer Science, a similar technical field, or equivalent practical experience.
                                  +
                                • +
                                • 7 years of experience in developer relations, developer advocacy, or community management roles within the data science or machine learning domains.
                                  +
                                • +
                                • Experience in creating and delivering technical presentations, workshops, and training sessions.

                                  +
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Experience in developing technical strategy for large teams and large projects.
                                  +
                                • +
                                • Ability to develop and maintain comprehensive developer resources including documentation, tutorials, sample code, and other learning materials to enable developers to effectively use Google\'s platforms.
                                  +
                                • +
                                • Passion for developer communities and a genuine interest in enabling and supporting developers and data scientists.
                                  +
                                • +
                                +
                                +
                                +

                                About the job

                                +

                                In this role, you will build the tools in the world for Artificial Intelligence (AI) developers. You will bring Google Cloud AI capabilities to the developer community. You will work on products including Vertex AI, BigQuery, Cloud Run, Gemma open models, and the Gemini Application Programming Interface (API).

                                +

                                The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                +

                                Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                +
                                +
                                +

                                Responsibilities

                                +
                                  +
                                • Identify and engage with key influencers, thought leaders, and activists within the developer and data science communities to advocate for Google\'s platforms.
                                  +
                                • +
                                • Create and manage developer programs, events, workshops, hackathons, and other initiatives to foster community growth and engagement.
                                  +
                                • +
                                • Provide technical support and guidance to developers, addressing their questions, issues, and feedback.
                                  +
                                • +
                                • Act as an advocate and promoter for generative AI technologies within the developer and data science communities.
                                  +
                                • +
                                +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                +

                                Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                +

                                If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                +

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                +

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                +
                                +
                                ",,https://www.google.com/about/careers/applications/jobs/results/73345749525373638-staff-developer-relations-platform-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-21T08:39:03.748Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/346634030-staff-developer-relations-platform-ai-at-google,,expired,2024-10-17T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +628b0af3-d9ff-4623-9ad6-cdab4e86114c,345423458,Scotiabank,"Sr Manager, IB Business Insights - CID&A",on_site,Canada : Ontario : Toronto,2024-10-07T16:31:06.278Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 208511

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The Sr Manager, IB Business Insights is responsible for supporting analytics projects and initiatives with a focus in International Banking (IB): PAC and CCAU – Mexico, Colombia, Peru, Chile, Caribbean, Central America and Uruguay. The incumbent will drive key business strategies by leveraging data and analytics, aligning to strategic business objectives to support a better understanding of our customers. This function provides value added analysis to the local Analytics functions at all International Banking countries. The role involves a high degree of collaboration and coordination with various areas in Canada and IB such as: Products, Segments, Analytics, Finance, Credit Risk, Operations and Systems.

                                +

                                +

                                Is this role right for you? In this role, you will:

                                +

                                +
                                • Serve as a thought partner and strategic advisor to maximize analytics’ impact and ensure implementation of strategic priorities, providing key business and customer insights
                                • Support the IB Analytics team with project execution assurance: ensure projects are implemented (deliverables and timelines are met by all work streams), confirm committed benefits/synergies are realized/captured, and help mitigate analytics project risks
                                • Collaborate with Toronto-based and in country teams supporting IB Analytics strategy and provide advisory support. This could take 2 approaches:
                                • Low-touch support; where the incumbent will be providing advisory services, e.g. participating in meetings for key analytics initiatives, engaging in specific work streams of the projects
                                • High-touch support; where the incumbent will be on-the-ground supporting analytics delivery in specific businesses within International Banking
                                • Perform data-driven analyses to diagnose issues or roadblocks to analytics projects, synthesize findings, and present clear recommendations to mitigate risks
                                • Build and maintain collaborative relationships / partnerships with key stakeholders including senior leaders and analytics functional teams across the organization
                                • +
                                +


                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                +

                                +
                                • Master in Analytics, MBA or equivalent experience required
                                • Strong analytical skills
                                • Strong ability to discern research information/data to focus on critical business and country-specific issues
                                • Experience conducting financial and customer analyses: P&L analysis, customer-level descriptive analytics and similar
                                • Proficiency applying analytics to solve business problem: segmentation, optimization models, etc.
                                • Experience in the financial services industry and/or consulting:
                                • Experience in Business Intelligence, Analytics, Product Management, Finance and/or Risk functions within Commercial Banking.
                                • Working knowledge of Commercial Banking products: Lending, Deposits and complementary products and services offered by other financial institutions and niche competitors
                                • Strong communication skills
                                • Good relationship management skills to effectively manage relationships across the Bank including partners within Canada and abroad
                                • Strong financial and business acumen
                                • Expert knowledge with Excel and PowerPoint, ability to prepare and present to different audiences
                                • Agile experience, Power BI, R / Python coding skills an asset
                                • Fluency in Spanish an asset
                                • +
                                +

                                +

                                What's in it for you?

                                +

                                +
                                • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                • A rewarding career path with diverse opportunities for professional development
                                • Internal training to support your growth and enhance your skills.
                                • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                • Hybrid Work Environment
                                • +
                                +

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-IB-Business-Insights-CID&A-ON-M5H1H1/585257017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/345423458-sr-manager-ib-business-insights-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-IB-Business-Insights-CID&A-ON-M5H1H1/585257017/,expired,2024-10-07T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +b2e34cd7-4d66-4667-9086-ba637cab2cce,342896320,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-09-20T16:41:02.594Z,"
                                +
                                +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +
                                +

                                +
                                Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                +
                                +
                                +

                                You will:

                                +
                                    +
                                  • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                  • +
                                  • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                  • +
                                  • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                  • +
                                  • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                  • +
                                  • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                  • +
                                  • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                  • +
                                  • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                                  • +
                                  • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                  • +
                                  • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                  • +
                                  • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                  • +
                                +
                                +
                                +

                                You have:

                                +
                                    +
                                  • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                  • +
                                  • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                                  • +
                                  • Extensive experience with PyTorch.
                                  • +
                                  • Track record of successfully delivering robust, scalable and production-ready ML models.
                                  • +
                                  • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                  • +
                                  • Experience with data manipulation and processing, such as SQL or pandas.
                                  • +
                                  • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                  • +
                                  • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                  • +
                                  • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                                  • +
                                  • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                                  • +
                                +
                                +
                                +
                                Benefits and Perks:
                                +
                                An engaging remote-first culture
                                +
                                A great compensation package that includes BenchSci equity options
                                +
                                A robust vacation policy plus an additional vacation day every year
                                +
                                Company closures for 14 more days throughout the year
                                +
                                Flex time for sick days, personal days, and religious holidays
                                +
                                Comprehensive health and dental benefits.
                                +
                                Annual learning & development budget
                                +
                                A one-time home office set-up budget to use upon joining BenchSci
                                +
                                An annual lifestyle spending account allowance
                                +
                                Generous parental leave benefits with a top-up plan or paid time off options
                                +
                                The ability to save for your retirement coupled with a company match!
                                +

                                +
                                About BenchSci:
                                +
                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                +
                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                +

                                +
                                Our Culture:
                                +
                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                +
                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                +
                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                +

                                +
                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                +

                                +
                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-10-23T17:09:40.400Z,False,0,9,45,https://talenthub.vectorinstitute.ai/jobs/342896320-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,expired,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +7dd1187c-47fb-4ecb-82b2-2f1006d479d2,343307672,Scotiabank,"Manager, RESL Portfolio Management & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.018Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 206828

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Join a purpose driven winning team, acted to results, in an inclusive and high-performing culture.

                                +


                                Reporting to the Director, Portfolio Management & Analytics, the Manager will work closely with a diverse set of stakeholders to generate insights and deliver judicious recommendations. You will drive analyses, oversight, and judicious thought leadership for Mortgage and HELOC Portfolios, ensuring business strategies, plans and initiatives are assisted in compliance with governing regulations, internal policies, and procedures.

                                +

                                +

                                Job Responsibilities:

                                +

                                +
                                • Assist the Sr. Manager & Director in sensitivity analyses to essay performance benchmarks against various environmental trends; develop scenario frameworks and readiness playbooks by identifying and prioritizing levers.

                                • Collaborate in the measure and monitor policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on credit performance; assist various teams in development and adjustments to policy through judicious insights.

                                • Monitor RESL portfolio indicators, proactively assessing performance alongside macro-economic and external trends.

                                • Triangulate internal data analyses with macro-economic and consumer trend reports to find customer vulnerability; maintain an integrated set of performance benchmarks to continuously monitor segment performance.

                                • Collaborate in assisting annual judicious planning process through thought leadership on implications to KPIs and risk related metrics, based on business objectives and growth plans.

                                • Collaborate in the preparation deep dive analyses on key segments within the RESL portfolio, provisioning, and peer trends.

                                • Collect, process, and perform statistical analysis (prescriptive to predictive) on complex datasets to inform risk decisions.

                                • +
                                +

                                Job Requirements:

                                +

                                +
                                • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of credit portfolios are essential.

                                • Proficiency in programming and/or database programs (MongoDB, SAS, JAVA, SQL, R, Hadoop, Python)

                                • Must have a university degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics).

                                • 3-5 years of relevant work experience

                                • Expertise and thorough understanding of credit and portfolio management, mortgage underwriting and credit analytics.

                                • Good understanding of: i) RESL products, systems and channels, and the markets in which Scotiabank operates; ii) Bank’s credit risk policy and risk appetite framework; iii) retail lending process and applications; and iv) legislative and marketplace issues relative to credit risk management.

                                • Solid financial skills, solid deductive reasoning, sound judgement and creativity.

                                • Strong verbal and written communication skills and the ability to effectively convey information to various levels of management.

                                • Knowledge of credit risk management origination techniques and strategies in Retail credit, including the create of champion/challenger tests and risk strategies utilizing credit risk scores.

                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584450017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-23T17:37:22.148Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/343307672-manager-resl-portfolio-management-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-RESL-Portfolio-Management-&-Analytics-ON-M5H1B6/584450017/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +68dc21d3-e9d1-4ec5-ac6c-a98b6c87062c,344787082,Canadian Tire Corporation,Senior Data Engineer,on_site,"Ontario, Canada",2024-10-03T08:40:02.108Z,"
                                +

                                What you\'ll do

                                +

                                We are seeking an experienced Data Engineer to join our team. The Data Engineer will play a critical role on the CTC Personalization & Customer Analytics team, reporting into the Promotions Technology manager. Leveraging the latest data technologies and advanced analytical techniques, this team designs, develops, and automates customer-facing data products and services. Made up of data engineers, developers and analysts, the team is laser-focused on creating a portfolio of best-in-class products and services that fuel customer-focused analytics and enhance customer and brand experience.

                                -

                                Industry/Sector

                                -

                                Not Applicable

                                +

                                Data is your strong suit. You are technically minded, detail-oriented and keep updated on automation trends. You communicate effectively to different audiences, and you can build strong cross-functional partnerships to drive collaboration and innovation. In this role, you will:

                                +
                                  +
                                • Understand the business case for data and the stakeholders’ requirements to support work processes and strategic business objectives

                                • +
                                • Develop and optimize existing and new data products

                                • +
                                • Design and implement data pipelines to monitor, validate model assumptions and performance adhering to best-in-class coding standards

                                • +
                                • Develop and optimize existing and new data pipelines to standardize and automate

                                • +
                                • Identify and troubleshoot technical issues as they arise with an entrepreneurial mindset, and provide scalable resolution with follow-through

                                • +
                                • Work on ad-hoc projects that leverage multiple internal and external sources of data such as sales, inventory, cost, digital analytics, loyalty, driving patterns, etc.

                                • +
                                • Work with IT and business stakeholders to influence decision making with data and data products

                                • +

                                -

                                Specialism

                                -

                                Analytics

                                +

                                What you bring

                                +
                                  +
                                • B.S. in Engineering, Science, Mathematics, Statistics or Computer Science. Equivalent experience also considered.

                                • +
                                • 3+ years of professional work experience in data domain

                                • +
                                • Strong knowledge of SQL to perform complex data analysis

                                • +
                                • Strong command of statistics

                                • +
                                • Ability to translate business requirements into technical analytical specifications

                                • +
                                • Balance of technical and business acumen, including modeling and strategic business case development

                                • +

                                -

                                Management Level

                                -

                                Senior Associate

                                +

                                Bonus points if you have experience with:

                                +
                                  +
                                • Python or another language to transform and process data

                                • +
                                • Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other tools

                                • +
                                • Data technologies and analytics platforms such as Knime, Hadoop, Azure, GCP, Big Query, Power BI, Data Studio, Airflow, Snowflake, etc.

                                • +

                                -

                                Job Description & Summary

                                -

                                A career in our Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues.

                                +

                                Hybrid

                                +

                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                -

                                To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

                                +

                                #LI-GM1

                                -

                                As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

                                -
                                  -
                                • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
                                • -
                                • Delegate to others to provide stretch opportunities and coach to help deliver results.
                                • -
                                • Develop new ideas and propose innovative solutions to problems.
                                • -
                                • Use a broad range of tools and techniques to extract insights from from current trends in business area.
                                • -
                                • Review your work and that of others for quality, accuracy and relevance.
                                • -
                                • Share relevant thought leadership.
                                • -
                                • Use straightforward communication, in a structured way, when influencing others.
                                • -
                                • Able to read situations and modify behavior to build quality, diverse relationships.
                                • -
                                • Uphold the firm's code of ethics and business conduct.
                                • -

                                -

                                Education (if blank, degree and/or field of study not specified)

                                -

                                Degrees/Field of Study required:

                                -

                                Degrees/Field of Study preferred:

                                +

                                About Us

                                -

                                Certifications (if blank, certifications not specified)

                                +

                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                -

                                Desired Languages (If blank, desired languages not specified)

                                +

                                Our Commitment to Diversity, Inclusion and Belonging

                                -

                                Travel Requirements

                                -

                                Up to 40%

                                +

                                We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                -

                                Available for Work Visa Sponsorship?

                                -

                                No

                                +

                                Accommodations

                                -

                                Government Clearance Required?

                                -

                                No

                                +

                                We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                -

                                Job Posting End Date

                                +
                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Senior-Data-Engineer_JR138269?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-24T08:45:01.893Z,False,0,6,26,https://talenthub.vectorinstitute.ai/jobs/344787082-senior-data-engineer-at-canadian-tire-corporation,,expired,2024-10-03T08:40:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +321635ac-febd-4cd0-a657-ad06de68592f,345761735,Sun Life Financial,"Director, Business Analytics (Group Benefits)",on_site,"Ontario, Canada",2024-10-10T08:50:02.091Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                PwC is committed to building a diverse workforce representative of the communities we serve. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

                                ",,https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Toronto/Analytics---Analytics-Generalist---Senior-Associate_115595WD-1,aimasters@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2020-02-03T19:19:00.000Z,False,0,7,37,https://talenthub.vectorinstitute.ai/jobs/26900800-analytics-analytics-generalist-senior-associate-at-pwc,,expired,2019-12-20T19:18:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -6f79bc00-691a-43e9-a3c1-63cac46cf50b,26900807,PwC,Analytics - Analytics Generalist - Data Scientist - Senior Associate,on_site,"Toronto, ON, Canada",2019-12-20T19:26:18.470Z,"

                                Line of Service

                                -

                                Advisory

                                +

                                Job Description:

                                -

                                Industry/Sector

                                -

                                Not Applicable

                                +

                                Role Summary

                                -

                                Specialism

                                -

                                Analytics

                                +

                                Sun Life Health is a leading Health and Benefits provider in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives.

                                -

                                Management Level

                                -

                                Senior Associate

                                +

                                Reporting to the AVP, Strategy, Digital Enterprise and Analytics, the Director, GB (Group Benefits) Analytics will be responsible for the development, management and delivery of analytics business support to Group Benefits business teams. The leader in this role will manage a highly skilled team of employees focused on analytics and data engineering and will collaborate with analytic teams across Sun Life to support delivery of initiatives.

                                -

                                Job Description & Summary

                                -

                                A career in our Data & Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues. In this role, you’ll have the chance to work on truly challenging and ambiguous business problems, where you'll need to marry your sharp business acumen with the application of data science to drive business value for our clients. As a Data Scientist, you will play a key role in building and enhancing our advanced analytics and machine learning capabilities, working closely with our strategy and management consulting business to understand business needs and develop innovative solutions that leverage machine learning and other advanced modeling techniques. This is a truly unique role that will offer the best of both business strategy and analytics problem solving and personal development opportunities.

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                                What will you do?

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                                To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

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                                  Business Support

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                                  • Develop, manage and deliver analytics business support to GB business teams.

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                                  • Areas currently with dedicated analytics support include Group Underwriting (e.g. Underwriting Workflow Dashboarding) and GB Finance (e.g. Finance Data Engineering).

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                                  • Collaborate with analytics resources in all relevant technical teams (GB Analytics, Health Analytics, Client Experience Office Analytics, IT).

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                                  • Support the Canadian Dental Care Program analytics requirements until April 2025 and potentially further into the future as required.

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                                  In addition, as a Senior Associate, you'll need to work effectively as part of a team of diverse backgrounds, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities include but are not limited to:

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                                  Foundational Data

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                                  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
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                                  • Delegate to others to provide stretch opportunities and coach to help deliver results.
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                                  • Develop new ideas and propose innovative solutions to problems.
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                                  • Use a broad range of tools and techniques to extract insights from current trends in business area.
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                                  • Review your work and that of others for quality, accuracy and relevance.
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                                  • Share relevant thought leadership.
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                                  • Use straightforward communication, in a structured way, when influencing others.
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                                  • Able to read situations and modify behavior to build quality, diverse relationships.
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                                  • Uphold the firm's code of ethics and business conduct.
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                                  • Continue the journey of ingesting source data into the Enterprise Data Lake and engineering processed data for analytics use.

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                                  • Manage the key initiative budget for data ingestion, resourced through IT.

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                                  • Prioritise and lead delivery of GB data engineering needs to enable GB Plan Sponsor and Advisor level analysis for both internal and external use cases.

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                                  • Embed best-practices aligned to the Client Experience Office and Centres of Excellence.

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                                  Requirements:

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                                  Gen AI Program

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                                  • An interest in upskilling for a digital world and technology trends, an openness to learning new tools and adapting how you work
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                                  • Bachelor or higher degree in Software Development, Computer Science, Engineering, Statistics, Mathematics, Operations Research or related field
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                                  • Business education, training or similar corporate experience is an asset (e.g. MBA or MS in Business Analytics, Management or Economics, or management consulting experience)
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                                  • Experience in developing and applying machine-learning algorithms, statistical, optimization and simulation tools to commercial problems
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                                  • Experience building and applying regression, clustering, and advanced machine-learning including supervised and unsupervised learning models
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                                  • Experience with analyzing a variety of large data sets using querying tools such as SQL
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                                  • Fluency in one or more data science programming languages (ideally Python and/or R)
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                                  • Experience with Visualisation tools such as Tableau and PowerBI
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                                  • Develop and maintain a program of Gen AI across Group Benefits to create business value through productivity and efficiency gains.

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                                  • Run ideation sessions with GB stakeholders to feed the GB Gen AI backlog.

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                                  • Partner with the Client Experience Office on ideation, prioritization & drive delivery of Gen AI use cases.

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                                  • Coordinate MVP test-and-learn opportunities by engaging the Client Experience Office Data Science COE to develop pilots for priority Gen AI uses cases.

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                                  • Coordinate scaling successful pilots with IT and other relevant functions (Risk, GB Digital Enterprise Platform) to drive adoption within the business.

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                                  Why you’ll love working for PwC
                                  We want you to love every (if not, almost every) minute of your career, having said this, we get it. Each life stage we go through comes with a new set of priorities and demands. This is why we support you through a range of financial and non-financial rewards and benefits, so regardless of your situation, there’s something for everyone.

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                                  Leading benefits for our permanent staff include:

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                                  Leadership

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                                  • A competitive compensation package
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                                  • Sponsored investments, pensions and saving plans with matching firm contributions
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                                  • Flexible working
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                                  • PwC FlexBenefits, for personalised medical & dental coverage, including enhanced mental health benefit
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                                  • Every day recognition and real time appreciation through our rewards and recognition program
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                                  • Dress for your day with our flexible dress environment
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                                  • Health, wellness and fitness perks
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                                  • Family-friendly benefits, including maternity and parental leave policies and support networks to help you prepare for your successful return to work
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                                  • Adoption/surrogacy benefits
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                                  • Back-up child and elder care support
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                                  • Career defining project work and international experience
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                                  • Development opportunities including learning on the job, formal learning, learning from others and access to “Vantage” our digital learning system
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                                  • Award winning programs including “Women in Leadership” and “Enhanced Pursuit Program”
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                                  • A coach to help develop skills, diversify experiences and achieve career aspirations
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                                  • Attract, retain, coach and develop top talent to deliver on GB Business Analytics roadmap.

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                                  • Collaborate with Director, GB Sponsor and Advisor Analytics where needed to support delivery of prioritised initiatives.

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                                  See how you can create your future at PwC: https://pwc.to/2kUQFOp

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                                  Education (if blank, degree and/or field of study not specified)

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                                  Degrees/Field of Study required:

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                                  What do you need to succeed?

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                                  • 7+ years of analytical experience with 3+ years of recent experience in business analytics/BI and/or developing and implementing data science techniques (predictive, prescriptive, ML, etc)

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                                  • B.Sc. Computer Science, Mathematics, Stats, Engineering, and Masters in Management Analytics or MBA or equivalent work experience

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                                  • 3+ years of leading a data analytics team, or equivalent experience as a senior member of a team leading projects and providing managerial support (e.g onboarding, coaching, escalations, performance feedback)

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                                  • Expert knowledge and experience in data analytics and application in business strategy for effective decision making

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                                  • Demonstrate drive for, and application of, continuous learning on innovations in advanced analytics and industry developments

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                                  • Proven ability to solve complex business problems.

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                                  • Strong inclination to proactively share knowledge and expertise with others to build the data analytics community and capability in the broader company around data analytics

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                                  • Expert verbal, written, and presentation skills to communicate and frame complex information simply for senior leader decision making on complex business issues

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                                  • Considered an expert in among peers on one or more aspects of data analytics and the business

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                                  • Ability to interact independently, confidently and competently with AVP+ level stakeholders

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                                  • Knowledge of the GB business is preferred

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                                  • As this position is posted in several locations, we specify that bilingualism (French, English, both oral and written) is required for Quebec only for the frequent interactions with English and French-speaking colleagues or internal partners across Canada or worldwide.

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                                  Degrees/Field of Study preferred:

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                                  Unique Requirements

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                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

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                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

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                                  Certifications (if blank, certifications not specified)

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                                  What\'s in it for you?

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                                    +
                                  • We are proud to be on the 2024 Best Workplaces in Canada list by Great Place to Work.

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                                  • Working together, sharing common values, and encouraging growth & achievement

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                                  • Flexible Benefits from the day you join to meet the needs of you and your family.

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                                  • Join one of our many Inclusion Networks. These voluntary, employee-led groups are dedicated to creating connection, fostering inclusivity, and building community.

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                                  • Charitable giving through our You Give, We Give program lets you give back to your community – and in many cases, we’ll match your contributions.

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                                  • In 2024, Sun Life ranked among the top 100 most sustainable global corporations by Corporate Knights for the 15th consecutive year, leading Canadian insurers.

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                                  Desired Languages (If blank, desired languages not specified)

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                                  Travel Requirements

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                                  Up to 40%

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                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

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                                  Available for Work Visa Sponsorship?

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                                  No

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                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

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                                  Government Clearance Required?

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                                  No

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                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

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                                  Job Posting End Date

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                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

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                                  PwC is committed to building a diverse workforce representative of the communities we serve. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

                                  ",,https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Toronto/Analytics---Analytics-Generalist---Data-Scientist---Senior-Associate_115587WD-1,aimasters@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2020-01-13T20:19:00.000Z,False,0,14,47,https://talenthub.vectorinstitute.ai/jobs/26900807-analytics-analytics-generalist-data-scientist-senior-associate-at-pwc,,expired,2019-12-20T19:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -e08c7d77-55c3-43f7-a0d9-a5cadd50318f,27066607,Uber,Uber AI Residency Program 2020,on_site,"Toronto, ON, Canada",2019-12-24T18:47:04.249Z,"

                                  he Uber AI Residency is an intensive one-year program (starting mid-late June 2020) intended for people seeking to advance their careers in machine learning research and practice. Read more about the program on the Uber Eng blog.

                                  -

                                  Residents will have the flexibility to pursue a range of different directions in research and application. Some projects might involve fundamental machine learning and AI research, pushing the frontiers of the field by developing new algorithms for learning and control. Others could include devising and training new models based on Uber's huge data sets. These models may be seen through to production where they will impact millions. Yet other projects could use new or existing models in concert with Uber's data to provide critical insights into our changing world. Residents will have the opportunity to work directly with a distinguished group of researchers and engineers within Uber ATG.

                                  -

                                  A Residency will last for 12 months and will begin with an initial period of learning, exploration, and collaborative ideation. During this period, Residents will meet with researchers at Uber ATG and converge on initial project directions, and mentorship will be arranged. Projects that span disciplines and teams are encouraged, and mentors may be selected from any team as appropriate for the project. Residents will be encouraged to publish their work externally at top machine learning venues (NIPS, ICLR, ICML, CVPR, EMNLP, ACL, etc.), via blog posts, or by posting open source projects.

                                  -

                                  The application will close on January 19th, but candidates who apply by January 5th will be given priority. Notifications about next steps will be sent in late February.

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                                  What you'll need

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                                  Eligibility Requirements

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                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

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                                  +

                                  Salary Range:

                                  105,000/105 000 - 180,000/180 000

                                  +

                                  Job Category:

                                  Advanced Analytics

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                                  Posting End Date:

                                  23/10/2024
                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Business-Analytics--Group-Benefits-_JR00102872?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-10-24T08:55:02.655Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/345761735-director-business-analytics-group-benefits-at-sun-life-financial,,expired,2024-10-10T08:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +25a7b0b5-fb5d-4924-a53f-e23beae13813,347102863,Google,"Senior Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-10-21T08:34:03.558Z,"
                                  +
                                  +

                                  Senior Software Developer, Front End, Applied AI

                                  +
                                  +
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                                  Minimum qualifications:

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                                  • BS, MS, or PhD in a technical field or equivalent experience
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                                  • Coursework in or working knowledge of linear algebra, calculus, and probability
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                                  • Coding ability in Python or C/C++
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                                  • Demonstrated experience with machine learning or deep learning algorithms, and demonstrated passion for the same. If you're excited about ML, show us what you've done so far!
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                                  • Bachelor’s degree or equivalent practical experience.
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                                  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
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                                  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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                                  • 3 years of experience with front-end and user interface development.
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                                    Experience with Large Language Models, NLP, or Generative AI.
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                                  -

                                  Preferred Qualifications (any of the below are great but none are required):

                                  +

                                  Preferred qualifications:

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                                  • Demonstrated success at self-driven projects: whether you coded something great from the ground up, executed a beautiful research project, organized a group of your peers to action, asked and answered an important societal question, or started a company, we're looking for people that are used to pressing toward ambitions, exciting goals.
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                                  • A strong track record of open source contributions in any area, particularly machine learning.
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                                  • Impactful, well-cited publications in any field, particularly machine learning.
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                                  • Master\'s degree or PhD in Computer Science or related technical field.
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                                  • +
                                  • 1 year of experience in a technical leadership role.
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                                  • +
                                  • Experience developing accessible technologies.
                                    +
                                  -

                                  Residents will work from Uber ATG in San Francisco, or Uber ATG in Toronto. We strongly encourage applications from candidates with diverse backgrounds and from anywhere in the world! Candidates who need a visa to work in the US or Canada are also encouraged to apply; we will investigate options on a case-by-case basis for those who are accepted.

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                                  Application process:

                                  -

                                  The applications consists of two steps. Both must be completed or applications will not be considered!

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                                  Step 1:

                                  -

                                  Click the ""Apply"" button below, then ""Apply with Resume,"" and then submit your CV or Resume. Fill out the subsequent screens, and finally click ""Apply Now"" to submit step 1 of the application.

                                  -

                                  Step 2:

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                                  Collect the following required information:

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                                  About the job

                                  +

                                  Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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                                  Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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                                  +
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                                  Responsibilities

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                                  • Transcript from your most recent degree (unofficial is fine)
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                                  • A cover letter containing (1) a brief statement on why you would be a great resident at Uber (2) a brief statement on a scientific question, machine learning model, and/or Uber dataset that you think would be exciting to work on.
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                                  • Write and test product or system development code.
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                                  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
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                                  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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                                  • +
                                  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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                                  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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                                  -

                                  Collect as much of the following optional information as possible:

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                                  Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                  +

                                  Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                  +

                                  If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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                                  Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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                                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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                                  +
                                  ",,https://www.google.com/about/careers/applications/jobs/results/110055749463220934-senior-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-24T08:39:03.405Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/347102863-senior-software-developer-front-end-applied-ai-at-google,,expired,2024-10-21T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +37025522-a42f-4476-b786-c6bd7393fc61,346253910,BMO Financial Group,"First Nations / Inuit / Métis - Senior Analyst, Data & Analytics",on_site,"Ontario, Canada",2024-10-14T08:18:03.031Z,"
                                  +

                                  Application Deadline:

                                  10/23/2024

                                  +

                                  +

                                  Address:

                                  VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO

                                  +

                                  +

                                  Job Family Group:

                                  Data Analytics & Reporting

                                  +

                                  +

                                  We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

                                  +

                                  Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                  +

                                  This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                  +

                                  +

                                  +

                                  +

                                  Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                    -
                                  • List of awards, prizes, grants, or competitions won
                                  • -
                                  • List of publications or link to Google Scholar page, if you have one
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                                  • Link to your GitHub
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                                  • Link to your personal site or blog
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                                  • Link to your LinkedIn
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                                  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
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                                  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                  • +
                                  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
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                                  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
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                                  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                  • +
                                  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                  • +
                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                  • +
                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                  • +
                                  • Works independently on a range of complex tasks, which may include unique situations.
                                  • +
                                  • Broader work or accountabilities may be assigned as needed.
                                  -

                                  And submit the above set of information via this supplementary application form hyperlinked below:

                                  -

                                  Application for Uber AI Residency (Step 2)

                                  -

                                  Note: Candidates that pass the first round of review will be asked to submit a letter of recommendation by February 21st to be considered. Please keep this timeline in mind so you are able to give your referer enough notice.

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                                  Timeline

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                                  January 5th: Soft application deadline

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                                  January 19th: Hard application deadline (candidates are encouraged to apply by January 5th, although we will continue to review applications submitted until January 19th)

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                                  Late January: First round of notifications will be sent with requests for recommendation letters and/or phone interviews

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                                  Mid-March: Residency decisions announced

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                                  Questions? Please see if your question is covered in our FAQ or, if not, email ai-residency@uber.com with any questions.

                                  -

                                  We're changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we're a part of the logistical fabric of more than 600 cities around the world. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

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                                  For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

                                  -

                                  And that's just what we're doing today. We're thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we're in for the long haul. We're reimagining how people and things move from one place to the next.

                                  ",,https://www.uber.com/global/en/careers/list/57071/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-02-07T18:47:00.000Z,False,0,20,148,https://talenthub.vectorinstitute.ai/jobs/27066607-uber-ai-residency-program-2020-at-uber,,expired,2019-12-24T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, -d9330f04-4928-4930-a173-d0405035feee,27066609,Uber,"Research Engineer, Self Driving",on_site,"Toronto, ON, Canada",2019-12-24T18:49:31.606Z,"

                                  About the Role

                                  -

                                  You will participate in the unique effort of bringing innovative state-of-the-art deep-learning models for self-driving into production, and onto autonomous vehicles. You will collaborate closely with a team of highly skilled researchers and engineers, tackling an array of challenges related to applying machine learning to self-driving vehicles. You will work on a variety of research engineering tasks related to algorithms for detection & perception, prediction, motion planning & automated map production, to name a few.

                                  -

                                  What You'll Need

                                  +

                                  +

                                  Qualifications:

                                  +

                                  Foundational level of proficiency:

                                    -
                                  • Minimum 4 years experience building production level software systems, preferably with Python and C++ (candidates not meeting this requirement but excel in other competencies will be considered)
                                  • -
                                  • Expertise in performance evaluation and optimization of deep learning or computational science algorithms, particularly using GPUs and distributed computing
                                  • -
                                  • Experience with parameter and architecture tuning of deep learning algorithms
                                  • -
                                  • Solid knowledge of Python and C++ internals, including scientific computing libraries
                                  • -
                                  • Demonstrable track-record of learning and deep-diving as needed into complex existing and new technologies
                                  • -
                                  • Intense sense of ownership, initiative-taking, and a can-do attitude
                                  • -
                                  • Great attention to detail and a data-driven approach to problem solving
                                  • -
                                  • Team-player with a strong collaboration and communication skills, who responds positively to feedback
                                  • +
                                  • Deep learning.
                                  • +
                                  • Machine learning.
                                  • +
                                  • Trust, bias and ethics.
                                  • +
                                  • Creative thinking.
                                  • +
                                  • Critical thinking.
                                  -

                                  Bonus Points

                                  +

                                  Intermediate level of proficiency:

                                    -
                                  • Expert level knowledge of one or more of the following: TensorFlow, PyChram, CUDA, cuDNN, OpenCL
                                  • -
                                  • Familiarity with considerations related to sensor data (RGB, LiDAR) such as calibration, data capturing, noise sources, transformations, etc.
                                  • -
                                  • Familiarity with standard web software frameworks for implementing internal research tools
                                  • -
                                  -

                                  At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                  -

                                  We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

                                  ",,https://www.uber.com/global/en/careers/list/52741/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-03-09T18:49:00.000Z,False,0,12,56,https://talenthub.vectorinstitute.ai/jobs/27066609-research-engineer-self-driving-at-uber,,expired,2019-12-24T18:49:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -eebae23e-1bec-4217-93ef-556281edf483,27644797,KPMG,"Data Scientist, Consultant - Lighthouse - Intern Summer 2020",on_site,"Toronto, ON, Canada",2020-01-09T15:56:22.878Z,"

                                  Why KPMG Lighthouse Exponential?

                                  Innovate. Collaborate. Shine. Lighthouse Exponential — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-world business problems and operationalize AI. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                  KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist, Consultant intern to join our team in Summer 2020! This role will be a rewarding experience for you if you:

                                  -
                                    -
                                  • Thrive on challenges and work best in a fast-paced environment where each day is different
                                  • -
                                  • Work well in a project team environment and have strong collaboration and interpersonal skills
                                  • -
                                  • Have a permanent “figure it out” mindset
                                  • -
                                  -


                                  Video: Let’s do this!

                                  What you will do:

                                  -
                                    -
                                  • Work closely with clients in understanding key business issues.
                                  • -
                                  • Gather and analyze requirements to develop impactful recommendations and solutions.
                                  • -
                                  • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                  • -
                                  • Propose and develop results, models and rules engines using statistical, machine learning, Natural Language Processing, Linear Programming, etc.
                                  • -
                                  • Work with large volumes of data (structured and unstructured).
                                  • -
                                  • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                  • -
                                  • Complete data profiling and data quality assessments, including quantitative analysis of data issues
                                  • -
                                  • Effectively communicate orally and written with peers within Lighthouse Exponential, KPMG and the client.
                                  • -
                                  -


                                  What you bring to the role:

                                  -
                                    -
                                  • Expert knowledge in advanced modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                  • -
                                  • Understand the data science workflow, including feature engineering, model development, interpretation of outputs and development of recommendations for end-to-end data science solutions
                                  • -
                                  • Ability to work collaboratively with internal and external stakeholders and strong team work skills
                                  • -
                                  • Familiar with some of the following technical skills:

                                    -
                                      -
                                    • Scripting Languages: Python, R, Scala, SQL, shell scripting
                                    • -
                                    • Machine Learning/Data Science: scikit-learn, Keras, TensorFlow, PyTorch, scipy/numpy, pandas
                                    • -
                                    • Visualization: Power BI, Tableau, ggplot, matplotlib, Plotly
                                    • -
                                    • Software Engineering tools: git, make, docker, Kubernetes
                                    • -
                                    • Cloud/Big Data: Azure, AWS, GCP, Spark
                                    • -
                                    -
                                  • -
                                  • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                  • -
                                  • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                  • -
                                  -


                                  Keys to your success:

                                  -
                                    -
                                  • Participate in pursuits to gain deeper knowledge of our clients, relationships and KPMG's approach to strengthening them.
                                  • -
                                  • Ability to understand/explain business value of data and analytics concepts.
                                  • -
                                  • Demonstrate a willingness to learn and try a new approach and apply data and analytics concepts to business problems.
                                  • -
                                  -


                                  To apply:

                                  Please apply directly to KPMG at kpmg.ca/careers.

                                  All applications must be received no later than January 21st, 2020 at 9:00AM EST.
                                  Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                  -
                                    -
                                  • Resume
                                  • -
                                  • Electronic copy of your most recent transcript and/or GPA
                                  • -
                                  • Other relevant documents (e.g. GMAT score)
                                  • +
                                  • Mathematics, statistics & operations research.
                                  • +
                                  • Big data.
                                  • +
                                  • Data visualization.
                                  • +
                                  • Computational thinking and programming.
                                  • +
                                  • Data wrangling.
                                  • +
                                  • Data preprocessing.
                                  • +
                                  • Complex problem solving.
                                  • +
                                  • Analytical acumen.
                                  • +
                                  • Creative reasoning.
                                  • +
                                  • Verbal & written communication skills.
                                  • +
                                  • Collaboration & team skills.
                                  • +
                                  • Analytical and problem solving skills.
                                  • +
                                  • Influence skills.
                                  • +
                                  • Data driven decision making.
                                  • +
                                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                  • +
                                  • Technical proficiency gained through education and/or business experience.
                                  -


                                  If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.

                                  -

                                  -

                                  Location

                                  -

                                  Toronto, ON

                                  -

                                  Our Values, The KPMG Way

                                  +

                                  -

                                  We lead by example | We work together | We respect the individual
                                  We seek the facts and provide insight | We are open and honest in our communication
                                  We are committed to our communities | Above all, we act with integrity

                                  -

                                  KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                  -

                                  ",,https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25081&siteid=5065#jobDetails=687284_5065,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-01-21T20:48:00.000Z,False,0,31,94,https://talenthub.vectorinstitute.ai/jobs/27644797-data-scientist-consultant-lighthouse-intern-summer-2020-at-kpmg,,expired,2020-01-09T15:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -27d27e44-9ea2-43d5-a169-936b411fdfce,28057239,KPMG,Business Consultant - Lighthouse - Intern Summer 2020,on_site,"Toronto, ON, Canada",2020-01-13T20:29:00.749Z,"

                                  Why KPMG Lighthouse Exponential?

                                  -


                                  Innovate. Collaborate. Shine. Lighthouse Exponential — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-world business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                  KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Business Consultant intern to join our team Summer 2020! This role will be a rewarding experience for you if you:

                                  +

                                  Salary:

                                  +
                                  $65,400.00 - $121,800.00

                                  +

                                  Pay Type:

                                  Salaried

                                  +

                                  The above represents BMO Financial Group’s pay range and type.

                                  +

                                  +

                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                  +

                                  +

                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                  +

                                  +

                                  +

                                  We’re here to help

                                  +

                                  +

                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                  +

                                  +

                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                  +

                                  +

                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                  +

                                  +

                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                  +

                                  +

                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                  +
                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/REMOTETELETRAVAIL-ON-CAN/First-Nations---Inuit---Mtis---Senior-Analyst--Data---Analytics_R240021062?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-24T08:23:02.741Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/346253910-first-nations-inuit-metis-senior-analyst-data-analytics-at-bmo-financial-group,,expired,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ed7d5a06-e0b9-4fea-b2f4-7ac2a80a797f,346253911,BMO Financial Group,First Nations / Inuit / Métis – Manager - Data analytics,on_site,"Ontario, Canada",2024-10-14T08:18:03.071Z,"
                                  +

                                  Application Deadline:

                                  10/23/2024

                                  +

                                  +

                                  Address:

                                  VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO

                                  +

                                  +

                                  Job Family Group:

                                  Data Analytics & Reporting

                                  +

                                  +

                                  We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

                                  +

                                  Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                  +

                                  This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                  +

                                  +

                                  +

                                  Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                    -
                                  • Thrive on challenges and work best in a fast-paced environment where each day is different
                                  • -
                                  • Work well in a project team environment and have strong collaboration and interpersonal skills
                                  • -
                                  • Have a permanent “figure it out” mindset
                                  • +
                                  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                  • +
                                  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                  • +
                                  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                  • +
                                  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                  • +
                                  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                  • +
                                  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                  • +
                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                  • +
                                  • Provides specialized consulting, analytical and technical support.
                                  • +
                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                  • +
                                  • Works independently and regularly handles non-routine situations.
                                  • +
                                  • Broader work or accountabilities may be assigned as needed.
                                  -


                                  Video: Let’s do this!

                                  What you will do:

                                  +

                                  +

                                  Qualifications:

                                  +

                                  Intermediate level of proficiency:

                                    -
                                  • Apply strong business consulting acumen and statistical background, combined with real-work experience in apply analytics to solve business issues.
                                  • -
                                  • Use practical understanding of advanced analytics methods and big data software for client solutioning.
                                  • -
                                  • Understand and apply engagement economics to deliver engagements within scope, time and budget.
                                  • +
                                  • Mathematics, statistics & operations research.
                                  • +
                                  • Deep learning.
                                  • +
                                  • Machine learning.
                                  • +
                                  • Trust, bias and ethics.
                                  • +
                                  • Creative thinking.
                                  • +
                                  • Critical thinking.
                                  -


                                  What you bring to the role:

                                  -
                                    -
                                  • Broad, versatile knowledge of analytics and big data landscape.
                                  • -
                                  • Demonstrated analytics solution design and build expertise, work stream management skills, strong business consulting acumen in applying advanced analytics to solve business issues.
                                  • -
                                  • Knowledge of or strong aptitude for quick learning business operations, process, delivery and revenue models.
                                  • -
                                  • Strong communication skills with the ability to explain technical concepts and analytics to business people, explain business processes, concepts, challenges and issues to technical resources.
                                  • -
                                  • Exposure to analytics tools and programming languages (e.g. R, Python, Alteryx, SQL) and visualization platforms (e.g. Tableau, PowerBI).
                                  • -
                                  • Provide general project management and oversee the planning, scheduling and completion of objectives and deliverables of Lighthouse Exponential engagements, asset development and other initiatives.
                                  • -
                                  • Understand the broader D&A concepts and implications, helping engagement teams understand domain context required for delivering meaningful and effective insights from D&A solutions.
                                  • -
                                  • Experts at gathering client information, documenting requirements, summarizing information, layering in market research and synthesizing this information for both:

                                    +

                                    Advanced level of proficiency:

                                      -
                                    • Engagement teams to execute on
                                    • -
                                    • Client teams to action
                                    • -
                                    -
                                  • -
                                  • Oversee the design, management, execution and implementation of complex analytics models.
                                  • -
                                  • Expert storytellers.
                                  • +
                                  • Big data.
                                  • +
                                  • Data visualization.
                                  • +
                                  • Computational thinking and programming.
                                  • +
                                  • Data wrangling.
                                  • +
                                  • Data preprocessing.
                                  • +
                                  • Creative reasoning.
                                  • +
                                  • Verbal & written communication skills.
                                  • +
                                  • Collaboration & team skills.
                                  • +
                                  • Analytical and problem solving skills.
                                  • +
                                  • Influence skills.
                                  • +
                                  • Data driven decision making.
                                  • +
                                  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                  • +
                                  • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                  -


                                  Keys to your success:

                                  -
                                    -
                                  • Ability to apply data and analytics concepts to business problems.
                                  • -
                                  • Ability to explain data and analytics concepts to clients.
                                  • -
                                  • Assist in the creation of business development materials.
                                  • +
                                    +

                                    +

                                    Salary:

                                    +
                                    $81,600.00 - $151,200.00

                                    +

                                    Pay Type:

                                    Salaried

                                    +

                                    The above represents BMO Financial Group’s pay range and type.

                                    +

                                    +

                                    Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                    +

                                    +

                                    BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                    +

                                    +

                                    +

                                    We’re here to help

                                    +

                                    +

                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                    +

                                    +

                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                    +

                                    +

                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                    +

                                    +

                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                    +

                                    +

                                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                    +
                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/REMOTETELETRAVAIL-ON-CAN/First-Nations---Inuit---Mtis---Manager---Data-analytics_R240020675?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-24T08:23:02.741Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/346253911-first-nations-inuit-metis-manager-data-analytics-at-bmo-financial-group,,expired,2024-10-14T08:18:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +868900a5-ffff-4313-bae8-e25f1a6a915a,91849025,Deloitte,"Intelligent Automation Consulting Manager, Omnia AI",on_site,"Ontario, Canada",2021-11-02T02:42:11.703Z,"
                                  +

                                  Job Type: Permanent
                                  Primary Location: Multiple Locations, Canada
                                  All Available Locations: Toronto; Ottawa; Vancouver

                                  +

                                  • Learn from deep subject matter experts through mentoring and on the job coaching
                                  • Partner with clients to solve their most complex problems
                                  • Be encouraged to deepen your technical skills…whatever those may be
                                  +
                                  +
                                  +

                                  +

                                  Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                  +
                                  +
                                  +

                                  What will your typical day look like?

                                  +
                                  +

                                  This role sits within the Omnia AI team of Deloitte Consulting, which encompasses Intelligent automation (IA). As a consultant in this group, you will deliver our Intelligent Automation solutions: robotic process automation, intelligent character recognition, chatbots/virtual assistants and artificial intelligence.

                                  Primary responsibilities include:

                                  +
                                  • Analyzing and understanding the business processes before identifying and communicating the technical software requirements.
                                  • Create business cases for the deployment of robotic and cognitive automation.
                                  • Map current state, design solution, implement robot, test and deploy in a context of client operating model transformation.
                                  • Design process solutions in accordance to standard design principles & conventions.
                                  • Configuring new automated processes and objects using core workflow principles that are efficient, well- structured, maintainable and easy to understand.
                                  • Support existing processes and implement change requirements as part of a structured change control process.
                                  • Deliver training curriculum for client stakeholders (e.g. technology, process, train-the-trainer, online-solutions).
                                  • Ensure communication within Deloitte's network of Intelligent Automation experts on typical process, methodology, tools and RPA principles.
                                  • +
                                  +

                                  As a Manager you will:

                                  +
                                  • Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. In addition, Managers should undertake practice development and business management activities to help grow the intelligent automation practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
                                  • Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects, and hone your commercial skills.
                                  • You will assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organization, processes and supporting technology.
                                  • Design and develop tailor-made solutions, strengthen our presence in the market, identify revenue-generating opportunities and get involved in proposal writing, pitch presentations, etc.
                                  • Build global trusted relationships with key clients
                                  • +
                                  +
                                  +
                                  +
                                  +

                                  About the team

                                  +
                                  +

                                  In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

                                  +

                                  The Intelligent Automation team leverages the power of machine learning, data, analytics, RPA and other cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, drive new and enhanced front and back office business solutions and inform decision-making.
                                  We help clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

                                  +

                                  Intelligent Automation team will work with our clients to:

                                  +

                                  • Leverage automation, cognitive and science-based techniques to bring efficiencies in processes, predict scenarios and prescribe actions
                                  • Implement large-scale automation programs including governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

                                  +
                                  +
                                  +
                                  +

                                  Enough about us, let’s talk about you

                                  +

                                  You are someone with:
                                  • Bachelor or Masters' Degree in any relevant discipline
                                  • Minimum 8 years of working in managerial position with experience in project management, people management and software delivery
                                  • Understanding of SDLC Waterfall and Agile Development Methodologies
                                  • Experience in delivery Intelligent Automation Solution using market established RPA tool such as BluePrism, UiPath, Automation Anywhere
                                  • Certification in UiPath (advanced), Automation Anywhere (master) or BluePrism (professional) is highly preferred
                                  • Understanding of Artificial Intelligence and Machine Learning
                                  • Knowledge of process analysis, re-engineering and optimization preferably within Financial Services
                                  • Experience with Data Analytics tools and databases
                                  • Strong client relationship skills, including an ability to independently engage with clients
                                  • Strong analytical skills, excellent oral and written communication skills in English, be self-motivated and be able to work in stressful situations with changing priorities
                                  • Driven, tenacity, client-focused, results-oriented with proven demonstration of sound business acumen, teamwork and leadership qualities
                                  • An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments
                                  • Confident in public speaking and presentation preparation

                                  +
                                  +
                                  +

                                  Why Deloitte?

                                  +

                                  Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:
                                  • You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                  • You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                  • You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.

                                  +

                                  The next step is yours

                                  +

                                  Sound like The One Firm. For You?

                                  +

                                  We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                  ",,https://careers.deloitte.ca/job/Toronto-Intelligent-Automation-Consulting-Manager%2C-Omnia-AI-ON-M5C-3G7/807629000/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-04T15:23:45.490Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/91849025-intelligent-automation-consulting-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Intelligent-Automation-Consulting-Manager%2C-Omnia-AI-ON-M5C-3G7/807629000/,expired,2021-11-02T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, +47560a9d-4211-4c79-86f6-b57b731b485e,91863750,Scotiabank,VELOCITY - Software Engineering - Winter 2022,on_site,Canada : Ontario : Toronto,2021-11-02T04:46:07.823Z,"

                                  +

                                  +

                                  +

                                  +

                                  Requisition ID: 119342

                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                  +

                                  + +

                                  VELOCITY - Software Engineering - Winter 2022

                                  +

                                  WORK TERM: 4 Months - Winter 2022 (January - April)

                                  +

                                  +

                                  What Can I Expect from the Velocity Program?

                                  +

                                  This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                  +

                                  +

                                  You Will…

                                  +
                                  • Work with a squad of go-getters to deliver clean and effective solutions
                                  • Produce workable prototypes to illustrate concepts iteratively and be able to provide detailed specifications for use by the other team members
                                  • Deliver high quality implementations by practicing best software development practices
                                  • Be a culture champion pivotal in driving culture change at all levels
                                  • Experiment & learn!
                                  -


                                  To apply:

                                  Please apply directly to KPMG at kpmg.ca/careers.

                                  All applications must be received no later than January 21st, 2020 at 9:00AM EST.
                                  Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                  -
                                    -
                                  • Resume
                                  • -
                                  • Electronic copy of your most recent transcript and/or GPA
                                  • -
                                  • Other relevant documents (e.g. GMAT score)
                                  • +

                                    +

                                    You Are?

                                    +

                                    You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                    +

                                    Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                    +

                                    +

                                    You have basic knowledge in…

                                    +
                                    • Software Development Life Cycle (SDLC)
                                    • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                    • Programming Languages (Java, JavaScript, React, C , C++ etc.)
                                    • Development tools (Jenkins, Maven, Artifactory, etc.)
                                    • Agile Methodologies (Scrum, Kanban, XP, etc)
                                    -


                                    If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.

                                    +

                                    +

                                    +

                                    How to apply?

                                    +

                                    For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                    +

                                    +

                                    1) Complete your PLUM Profile here

                                    +

                                    2) Take a screenshot of your completed PLUM profile.

                                    +

                                    3) Complete a very short one-way video interview by clicking here

                                    +

                                    4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                    +

                                    +

                                    +

                                    We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                    +

                                    +

                                    Location(s): Canada : Ontario : Toronto

                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                  ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Software-Engineering-Winter-2022-ON/550237717/,feed-importer@jobboard.io,,,,2021-11-16T04:51:28.182Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/91863750-velocity-software-engineering-winter-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Software-Engineering-Winter-2022-ON/550237717/,expired,2021-11-02T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +3164196b-1641-4bfb-afcd-acaed6130106,92069919,Scotiabank,"Data Analyst Intern, Strategic Analytics",on_site,"Toronto, ON, Canada",2021-11-03T17:19:45.886Z," + + +

                                  Data Analyst Intern, Strategic Analytics, Scotia Dealer Advantage

                                  Winter 2022 (January-April)

                                  -

                                  Location

                                  -

                                  Toronto, ON

                                  -

                                  Our Values, The KPMG Way

                                  +

                                  Why work for Scotiabank?

                                  +


                                  Scotiabank is among the largest banks in the world and the most international bank in Canada. We are powered by our 97,000 high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together with our Digital Factories around the world, we are dedicated to helping our 25 million customers become better-off.

                                  -

                                  We lead by example | We work together | We respect the individual
                                  We seek the facts and provide insight | We are open and honest in our communication
                                  We are committed to our communities | Above all, we act with integrity

                                  -

                                  KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                  -

                                  ",,https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25081&siteid=5065&PageType=JobDetails&jobid=687288#jobDetails=687288_5065,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-01-21T15:00:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/28057239-business-consultant-lighthouse-intern-summer-2020-at-kpmg,,expired,2020-01-13T19:29:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -09d622aa-ef28-40fd-b950-5f61f3bd5812,28984679,Sun Life Financial,Data Analyst,on_site,"Toronto, ON, Canada",2020-01-31T20:17:05.869Z,"

                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                  +

                                  This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank!

                                  -

                                  Job Description:

                                  -

                                  The Digital Health Solutions (DHS) Data Analytics team plays a critical role in the execution of the DHS strategy and works very closely with the DHS Management team.

                                  +

                                  Who We Are:

                                  -

                                  The Data Analytics group is responsible for:

                                  -
                                    -
                                  • Being analytics translators to identify high-impact analytics use cases
                                  • -
                                  • Defining business requirements for data gathering as new products and features are developed within DHS
                                  • -
                                  • Building Dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                  • -
                                  • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems
                                  • -
                                  • Supporting various teams within DHS to leverage best practices associated with data management and develop processes that support data driven decision making
                                  • -
                                  +

                                  Scotia Dealer Advantage provides non-prime loans for both new and used automotive sales to meet the needs of customers who, for any number of reasons, have no credit history or less than perfect credit. The Strategic analyics team designs strategies that optimize key metrics, identify opportunities, while aligning to the bank's objectives and risk appetite. We work closely with product owners and other partners on digital innovation, data analysis, and managing projects end-to-end.

                                  -

                                  The Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, modeling and analysis, documentation, delivery, and implementation of various business projects.

                                  -

                                  What Will You Do?

                                  -
                                    -
                                  • Create and maintain ETL processes, dashboard and reports that can be leveraged to find insights
                                  • -
                                  • Develop analysis and reporting tools to support requests for analytical services
                                  • -
                                  • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes
                                  • -
                                  • Develop and present reporting solutions to key stakeholders and partners
                                  • -
                                  • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings
                                  • -
                                  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                  • -
                                  • Understand and incorporate technology best practices with a primary focus on Tableau and Python.
                                  • -
                                  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
                                  • -
                                  +

                                  Who we are looking for?

                                  -

                                  What Do You Need To Succeed?

                                    -
                                  • Coding experience preferably in Python
                                  • -
                                  • Experience with creating and maintaining visualizations and dashboards in Tableau
                                  • -
                                  • Technical mindset with an undergraduate/masters degree, preferably in Computer Science, Statistics, Mathematics, Engineering, or 2-5 years of business experience in related field
                                  • -
                                  • Familiarity with machine learning applications
                                  • -
                                  • Experience working with relational databases and creating data models with efficient designStrong problem solving and analytical skills
                                  • -
                                  • Demonstrated ability to produce meaningful results from data
                                  • -
                                  • Proven experience consolidating and analyzing data sources
                                  • -
                                  • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                  • -
                                  • Comfortable learning new applications quickly with minimal direction
                                  • -
                                  • Proven ability to work collaboratively within a cross functional team environment
                                  • -
                                  • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                  • -
                                  • Attention to detail and in-depth planning, organizational and time management skills
                                  • -
                                  • Experience with AWS SageMaker would be an asset
                                  • +
                                  • Strong working knowledge of SQL
                                  • +
                                  • Strong Excel skills including pivot tables, complex formulas, and data analysis
                                  • +
                                  • Previous expirience working in data-heavy projects

                                  -

                                  What's in it for you?

                                  +

                                  You Will:

                                  +

                                    -
                                  • Competitive salary and bonus structure influenced by market range data
                                  • -
                                  • 3 weeks vacation
                                  • -
                                  • A friendly, collaborative and inclusive culture
                                  • -
                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                  • +
                                  • Analyze data
                                  • +
                                  • Work with large data sets
                                  • +
                                  • Contribute to bank strategy based on analytical findings
                                  • +
                                  • Write proposals, create presentation decks, and assist in end-to-end project management
                                  • +
                                  • Understand how the banks risk strategy should be considered in day-to-day activities

                                  -

                                  Unique Requirements

                                  -
                                  • Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                  +

                                  How do I apply?

                                  -

                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                  +

                                  For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about to properly assess your potential. Instead, we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy, but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                  -

                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                  +

                                  1) Complete your PLUM Profile here
                                  2) Take a screenshot of your completed PLUM profile
                                  3) Complete a very short one-way video interview by clicking here
                                  4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                  **To be considered for student opportunities at Scotiabank you must submit your PLUM Assessment and Video Interview. **

                                  -

                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                  -

                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00027859,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-03-03T15:37:00.000Z,False,0,14,43,https://talenthub.vectorinstitute.ai/jobs/28984679-data-analyst-at-sun-life-financial,,expired,2020-01-31T20:17:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f40520f0-b5b2-44d3-8db3-fbed2ca2d27c,29173609,KPMG,"Data Scientist, Team Lead",on_site,"Toronto, ON, Canada",2020-02-03T16:01:24.829Z,"

                                  Job Description

                                  +

                                  Location(s): Canada : Ontario : Hamilton

                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                  ",,https://jobs.scotiabank.com/job/Hamilton-Data-Analyst-Intern%2C-Strategic-Analytics-ON/551612217/,aitalent@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-11-15T20:41:00.000Z,False,0,9,71,https://talenthub.vectorinstitute.ai/jobs/92069919-data-analyst-intern-strategic-analytics-at-scotiabank,,expired,2021-11-03T17:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +b7f17883-e552-4252-b9fe-a4e595b42385,92246881,TD Bank Group,"Manager, Fraud Strategies",on_site,"Toronto, ON",2021-11-04T20:32:01.835Z,"
                                  +

                                  Company Overview

                                  +
                                  +

                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                  +

                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                  +

                                  -
                                  -

                                  Why KPMG Lighthouse?
                                  Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                  KPMG Lighthouse Toronto has an exciting opportunity for a Data Scientist, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                  -
                                    -
                                  • Thrive on challenges and work best in a fast-paced environment where each day is different
                                  • -
                                  • Work well in a project team environment and have strong collaboration and interpersonal skills
                                  • -
                                  • Have a permanent “figure it out” mindset
                                  • -
                                  -


                                  Video: Let’s do this!

                                  What you will do:

                                  +

                                  Department Overview

                                  +
                                  +

                                  What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                  +

                                  We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                  +
                                  +

                                  +

                                  Job Description

                                  +
                                  +

                                  +

                                  About this Role

                                  +

                                  You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                  +

                                  We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                  +

                                  +

                                  As the Manager, Analytics & Insights you will:

                                    -
                                  • Lead teams of data science practitioners who will engineer, build and operationalize AI based solutions.
                                  • -
                                  • Work closely with clients in understanding key business issues.
                                  • -
                                  • Gather and analyze requirements to develop impactful recommendations and solutions.
                                  • -
                                  • GCP, Azure and AWS certifications
                                  • -
                                  • GCP, Azure and AWS experience for deploying AI based solutions
                                  • -
                                  • Deep understanding of designing and architecting AI systems
                                  • -
                                  • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                  • -
                                  • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                  • -
                                  • Propose and develop results, models and rules engines using statistical, machine learning, Natural Language Processing, Linear Programming, etc.
                                  • -
                                  • Work with large volumes of data (structured and unstructured).
                                  • -
                                  • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                  • -
                                  • Perform quantitative analysis of data issues.
                                  • -
                                  • Effectively communicate orally and written with peers within Lighthouse, KPMG and the client.
                                  • -
                                  • MS or PhD-level math, statistics, operations research, engineering, computer science or econometrics.
                                  • +
                                  • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                  • +
                                  • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                  • +
                                  • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                  • +
                                  • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                  • +
                                  • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                  • +
                                  • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                  • +
                                  • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                  • +
                                  • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                  • +
                                  • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                  • +
                                  • Collaborate with business partners to shape and prioritize ad hoc analysis
                                  • +
                                  • Set operational team direction, working in partnership to execute on common goals
                                  • +
                                  • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                  • +
                                  • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                  • +
                                  • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                  • +
                                  • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                  • +
                                  • Support execution with excellence on key initiatives/programs
                                  • +
                                  • Design effective test and learn for various programs or scenarios
                                  • +
                                  • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                  • +
                                  • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                  • +
                                  • Present insights back to executive leaders / business partners to drive strategic improvement
                                  -


                                  What you bring to the role:

                                  +
                                  +

                                  +

                                  Requirements

                                  +
                                  +What can you bring to TD?

                                  +

                                  Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                    -
                                  • Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                  • -
                                  • Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs, and development of recommendations.
                                  • -
                                  • Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling.
                                  • +
                                  • Undergraduate degree or technical certificate
                                  • +
                                  • Seven (7) or more years relevant experience
                                  -


                                  Keys to your success:

                                  -
                                  • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                  -
                                  +

                                  -

                                  Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations

                                  +

                                  Additional Information

                                  +
                                  #businessintelligence

                                  -

                                  Our Values, The KPMG Way

                                  +

                                  Hours

                                  +
                                  37.5

                                  -

                                  We lead by example | We work together | We respect the individual
                                  We seek the facts and provide insight | We are open and honest in our communication
                                  We are committed to our communities | Above all, we act with integrity

                                  -

                                  KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                  -

                                  ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:01:00.000Z,False,3,0,42,https://talenthub.vectorinstitute.ai/jobs/29173609-data-scientist-team-lead-at-kpmg,,expired,2020-02-03T16:01:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Team Lead,Masters Degree,New Posting, -d9d226a4-82de-4fe0-877f-34fb9a77ef47,29173615,KPMG,"Data Engineer, Manager",on_site,"Toronto, ON, Canada",2020-02-03T16:03:32.963Z,"

                                  Job Description

                                  +

                                  Inclusiveness

                                  +

                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                  -

                                  Why KPMG Lighthouse?

                                  Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                  KPMG Lighthouse Toronto has an exciting opportunity for a Data Engineer, Manager to join our team! This role will be a rewarding experience for you if you:

                                  +
                                  ",,https://jobs.td.com/en-CA/jobs/13987956/manager-fraud-strategies-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-11T16:28:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/92246881-manager-fraud-strategies-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13987956/manager-fraud-strategies-toronto-ca/,expired,2021-11-04T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7bc33b66-f6d1-4911-991a-3cb7f44f167f,92584005,RBC,"Data Analyst, Financial Resource Optimization, Winter 2022 Student (4 or 8 months)",on_site,"Toronto, Ontario, Canada",2021-11-05T02:40:25.137Z,"
                                  +

                                  What is the opportunity?

                                  +

                                  +

                                  Financial Resource Optimization (FRO) is responsible for management of capital resources in support of RBC’s key strategic objectives. FRO’s mandate includes measurement, monitoring and forecasting of risk-weighted assets, leverage, and capital metrics. FRO works jointly with Businesses, Strategy, and Group Risk Management and other groups in Finance to measure and deploy capital in support of RBC’s growth and financial objectives, and adherence to regulatory requirements.

                                  +

                                  +

                                  As a Data & Product Analyst student, you’ll work in the FRO Data, Systems and Business Solutions team supporting the Product Owners with both the existing infrastructure platform and the build-out of the bank’s next generation solution for Regulatory and Economic Capital Measurement and integration of data across Finance and Risk.

                                  +

                                  +

                                  What will you do?

                                  +

                                  +

                                  You’ll support the Product team by contributing and leading…

                                  +

                                  +
                                  1. +Analytics & Metrics. You will help our team make data-driven decisions.
                                      +
                                    1. Development of agile metrics (Sprint velocity, burndown, etc.) to contribute to oversight of Software BAU (business as usual) team oversight, and increase agile maturity.
                                    2. +
                                    3. Create BI reporting packages and dashboards utilizing regulatory capital data infrastructure built around Hadoop as well as localized DataMart and other data sources.
                                    4. +
                                    5. Analyze business requirements or problems and work with subject matter experts, technology and business partners to select the appropriate statistical and ML/AI models to be used.
                                    6. +
                                    7. Work on portfolio of initiatives across capital systems affecting economic and regulatory capital, leverage ratio and other critical risk reports
                                    8. +
                                    9. Collaborate with team members to design and build ML/AI algorithms for proof of concepts (POCs) and as we transition the POCs to Production.
                                    10. +
                                    11. Use machine learning and other data mining techniques to get insights from massive datasets.
                                    12. +
                                    +
                                  +

                                  +
                                  1. +Root Cause Problem Solving. You will help improve key business processes.
                                      +
                                    1. Following the data and metrics extracted above, investigate a business process, interview people, analyze systems, document as appropriate, and figure out why something is not working.
                                    2. +
                                    3. Communicate findings concisely and succinctly.
                                    4. +
                                    5. Work with FRO team members to devise, weigh and implement solutions.
                                    6. +
                                    +
                                  +

                                  +
                                  1. +Technical Writing. You will help cultivate re-usability of Product Knowledge.
                                      +
                                    1. We’re migrating software platforms, and all of our operations and processes need to be re-documented and organized.
                                    2. +
                                    3. You’ll help develop a program to preserve and organize this knowledge, and then execute on the strategy.
                                    4. +
                                    5. You’ll help write, we’ll get others to write, and we’ll drive user adoption.
                                    6. +
                                    +
                                  +

                                  +
                                  1. +Special Projects.
                                    1. We have a broad mandate within the team, and are always looking for ways to apply creativity and special skills as it helps us to improve our product and user experience.
                                    +
                                  +

                                  +


                                  What do you need to succeed?

                                  +

                                    -
                                  • Thrive on challenges and work best in a fast-paced environment where each day is different
                                  • -
                                  • Work well in a project team environment and have strong collaboration and interpersonal skills
                                  • -
                                  • Have a permanent “figure it out” mindset
                                  • +
                                  • Must be currently pursuing a degree in Math, Statistics/Actuarial Sciences, Computer Science, Engineering or another quantitative discipline.
                                  • +
                                  • Strong analytical skill set, the ability to transform business goals into requirements.
                                  • +
                                  • A passion for learning, an inquisitive spirit and the ability to figure it out on your own.
                                  • +
                                  • Strong communication skills.
                                  • +
                                  • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                  -


                                  Video: Let’s do this!

                                  What you will do:

                                  +

                                  Programming skills and knowledge of Python, R.

                                    -
                                  • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                  • -
                                  • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                  • -
                                  • Review data quality and definitions, and perform data cleansing and data management tasks.
                                  • -
                                  • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                  • -
                                  • Architect the data platform for scalability, repeatability and performance.
                                  • -
                                  • Develop standards for data processes and automate routine tasks.
                                  • -
                                  • Run queries for descriptive analytics and provide formatted result sets.
                                  • -
                                  • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                  • -
                                  • Support application testing and production implementation as required.
                                  • -
                                  • Bridge the gap between technical platform needs and business issues.
                                  • -
                                  • Enable overall solution and full-scope architecture design and build.
                                  • -
                                  • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                  • +
                                  • Familiarity with statistical methods.
                                  • +
                                  • Familiarity with data cleaning, data mining, and machine learning. Knowledge of Natural Language Processing is a strong plus.
                                  -


                                  What you bring to the role:

                                  +

                                  +

                                  +

                                  Nice-to-have

                                  +

                                    -
                                  • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                  • -
                                  • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                  • -
                                  • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                  • +
                                  • Knowledge of and experience in capital, risk management and machine learning.
                                  • +
                                  • Expressed interest or previous experience in the financial industry or FinTech.
                                  • +
                                  • Experience with agile or design thinking methodologies or frameworks.
                                  -


                                  Keys to your success:

                                  -
                                    -
                                  • Ability to communicate complex technical concepts succinctly to non-technical colleagues and clients.
                                  • -
                                  • Ability to manage 1-2 engagements as the engagement lead/manager. This includes:

                                    +

                                    +

                                    +

                                    What’s in it for you?

                                    +

                                    In this role, you will have the opportunity to work in a dynamic, collaborative, progressive and high performing team making a difference and lasting impact. We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.

                                    +

                                    +

                                    You will get:

                                      -
                                    • Creating the detailed work plan
                                    • -
                                    • Creating and validating the budget - hours and ERP calculation
                                    • -
                                    • Negotiate constrains with other teams (internal KPMG and client teams)
                                    • -
                                    • Manage the RAID process
                                    • -
                                    • Manage scope, including the implementation of a change request process
                                    • -
                                    • Manage teams of 1-5 individuals
                                    • +
                                    • A unique co-op experience as part of an Innovation team with the chance to develop a career at RBC.
                                    • +
                                    • To be a part of a dynamic, collaborative, progressive and high-performing team.
                                    • +
                                    • To contribute to real projects that can make a difference and have a lasting impact at RBC.
                                    • +
                                    • Great opportunities to develop both your technical and business skills by working in a fast-paced environment and with many subject matter experts on both the business and IT sides.
                                    -
                                  • -
                                  -
                                    -

                                    -

                                    Our Values, The KPMG Way

                                    +

                                    +

                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                    While there is no one date when our employees will return, we can confirm that the majority of Fall Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                    +

                                    +

                                    About RBC
                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                    +

                                    +

                                    +

                                    Inclusion and Equal Opportunity Employment
                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                    +



                                    JOB SUMMARY
                                    City: Toronto
                                    Address: Virtually, if permitted, 155 Wellington St. W
                                    Work Hours/Week: 37.5
                                    Work Environment: Your Home Office
                                    Employment Type: [[filter7]]
                                    Application Deadline: 11/14/2021
                                    Platform: CFO Group

                                    Req ID: 426138
                                    Ad Code(s):

                                    +

                                    +
                                    ",,https://jobs.rbc.com/ca/en/job/426138/Data-Analyst-Financial-Resource-Optimization-Winter-2022-Student-4-or-8-months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-15T20:41:00.000Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/92584005-data-analyst-financial-resource-optimization-winter-2022-student-4-or-8-months-at-rbc,https://jobs.rbc.com/ca/en/job/426138/Data-Analyst-Financial-Resource-Optimization-Winter-2022-Student-4-or-8-months,expired,2021-11-05T02:40:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +cc714e84-1b36-4020-8ec8-6bf5ad0b4e27,93253159,Roche,MLOps Engineer,on_site,"Canada , Ontario , Mississauga",2021-11-07T07:19:02.165Z,"
                                    +

                                    MLOps Engineer who will innovate healthcare

                                    -

                                    We lead by example | We work together | We respect the individual
                                    We seek the facts and provide insight | We are open and honest in our communication
                                    We are committed to our communities | Above all, we act with integrity

                                    -

                                    KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                    -

                                    ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:03:00.000Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/29173615-data-engineer-manager-at-kpmg,,expired,2020-02-03T16:03:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -56dfde42-eeb7-4759-ae43-a74ed6916bad,29173616,KPMG,"Data Engineer, Senior Manager",on_site,"Toronto, ON, Canada",2020-02-03T16:04:28.040Z,"

                                    Job Description

                                    +

                                    We are the Global IT Solution Centre for Roche - one of the largest and most innovative pharmaceutical companies in the world.

                                    +

                                    We create Data Science-backed software to help patients, physicians and scientists face some of the greatest challenges in healthcare today.

                                    +

                                    We need a passionate MLOps Engineer to help us in discovering and implementing state-of-the-art solutions for our Machine Learning projects to enable rapid experimentation, increase the accuracy of our models and ensure the high quality of our products.

                                    -

                                    Why KPMG Lighthouse?
                                    Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                    KPMG Lighthouse Toronto has an exciting opportunity for a Data Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                    -
                                      -
                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                    • -
                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                    • -
                                    • Have a permanent “figure it out” mindset
                                    • -
                                    -


                                    Video: Let’s do this!

                                    What you will do:

                                    -
                                      -
                                    • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                    • -
                                    • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                    • -
                                    • Review data quality and definitions, and perform data cleansing and data management tasks.
                                    • -
                                    • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                    • -
                                    • Architect the data platform for scalability, repeatability and performance.
                                    • -
                                    • Develop standards for data processes and automate routine tasks.
                                    • -
                                    • Run queries for descriptive analytics and provide formatted result sets.
                                    • -
                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                    • -
                                    • Support application testing and production implementation as required.
                                    • -
                                    • Bridge the gap between technical platform needs and business issues.
                                    • -
                                    • Enable overall solution and full-scope architecture design and build.
                                    • -
                                    • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                    • -
                                    -


                                    What you bring to the role:

                                    +

                                    Job Responsibilities:

                                      -
                                    • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                    • -
                                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                    • -
                                    • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                    • +
                                    • Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
                                    • +
                                    • Work on a backlog of activities to raise MLOps maturity in the organization.
                                    • +
                                    • Proactively introduce a modern, agile and automated approach to Data Science.
                                    • +
                                    • Conduct internal training and presentations about MLOps tools’ benefits and usage.
                                    -


                                    Keys to your success:

                                    +

                                    +

                                    Required experience and qualifications:

                                      -
                                    • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                    • -
                                    • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations Share knowledge learned through various forums and stay current to industry trends.
                                    • +
                                    • Proven experience delivering working ML products/services (from the data to operationalization) of Data Science projects (MLOpsend2end ) using one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
                                    • +
                                    • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
                                    • +
                                    • Experience with Kubernetes and Docker is a must-have. Perfect understanding of containerization concepts and knowing ways of scaling the system using Kubernetes.
                                    • +
                                    • Proficiency in Python R or Julia, used both for ML and automation tasks. Good knowledge of Bash and Unix command-line toolkit.
                                    • +
                                    • Experience in CI/CD/CT pipelines implementation.
                                    • +
                                    • Experience with cloud platforms - preferably AWS - would be an advantage

                                    -

                                    Our Values, The KPMG Way

                                    +

                                    Interested? APPLY

                                    +

                                    Roche is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin colour, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.

                                    -

                                    We lead by example | We work together | We respect the individual
                                    We seek the facts and provide insight | We are open and honest in our communication
                                    We are committed to our communities | Above all, we act with integrity

                                    -

                                    KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                    -

                                    ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:04:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/29173616-data-engineer-senior-manager-at-kpmg,,expired,2020-02-03T16:04:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -d3fef00e-5eec-4026-8e89-43193c055b2a,29745441,BenchSci,"Engineering Manager, Machine Learning",on_site,"Toronto, ON, Canada",2020-02-12T14:05:40.640Z,"

                                    Here at BenchSci, our mission is to exponentially increase the speed and quality of life-saving research. We do so by empowering scientists with the world’s most advanced biomedical artificial intelligence so they can run more successful experiments. We’re backed by F-Prime and Google’s Gradient Ventures, and we’re growing!

                                    We are currently seeking an Engineering Manager to join our rapidly growing Machine Learning Team. As an Engineering Manager, you will be responsible for the planning of upcoming work, coordinating multiple engineering teams, and coaching their members. You will work closely with tech leads and scientists to evaluate priorities, and spot potential problems before they occur.

                                    -

                                    What you’ll do:

                                    -
                                        -
                                      • Develop the quarterly road maps for multiple teams
                                      • -
                                      • Work closely with technical leads to understand what deliverables are high risk and develop backup approaches
                                      • -
                                      • Take a leadership role in our recruiting, hiring, and onboarding processes
                                      • -
                                      • Manage the growth and development of all engineers on your teams
                                      • -
                                      • Help improve the processes and patterns of multiple teams
                                      • -
                                      • Engage with Science, Platform, and Data Pipeline teams to facilitate the delivery of complex, high-quality projects on time
                                      • -
                                    -

                                    Who we’re looking for:

                                    -
                                        -
                                      • 5+ years working as a professional developer
                                      • -
                                      • 2+ years working as an engineering team manager
                                      • -
                                      • Experience with data engineering and machine learning tooling and patterns
                                      • -
                                      • Strong cross-team communication and collaboration skills
                                      • -
                                      • Someone who has worked on projects that have gone from proof-of-concept through maintenance stages
                                      • -
                                      • A team player who strives to see teammates succeed together
                                      • -
                                    -

                                    Bonus points for:

                                    -
                                        -
                                      • Background in Life Science
                                      • -
                                      • Having worked at companies during rapid growth stages
                                      • -
                                      • Expertise in Python
                                      • -
                                    -

                                    What’s in it for you:

                                    -
                                        -
                                      • Competitive salary with company benefits from day one
                                      • -
                                      • Dedicated learning and development budget (conferences, courses, etc.)
                                      • -
                                      • An opportunity to help transform and improve scientific research with a fun, energetic, and supportive team
                                      • -
                                      • Quarterly team events, annual retreats, and regular lunch and learns
                                      • -
                                      • Fully stocked kitchen with healthy snacks
                                      • -
                                      • Onsite gym and showering facilities
                                      • -
                                      • Casual dress code in a creative office environment (we have our own botanist!)
                                      • -
                                      • Office located in the heart of downtown Toronto (College/Bathurst)
                                      • -
                                    -

                                    About BenchSci With a 50% failure rate, inappropriate antibodies waste millions of research dollars and delay novel therapies by months. BenchSci’s AI solves this problem by continuously reading biomedical papers like a PhD biologist to understand which antibodies have been successfully used in which experiments. Unlike traditional antibody search tools, BenchSci uses comprehensive data, proprietary machine learning models, sophisticated bioinformatics and ontologies, proprietary image recognition technology, and a unique interface to increase confidence in antibody selection. This reduces the cost of research and increases its impact for over 31,000 scientists at more than 3,600 academic institutions and 15 of the top 20 pharmaceutical companies that trust BenchSci to guide their experiment design.

                                    -


                                    -

                                    Here at BenchSci, these are our core values:

                                    -

                                    Focused: We focus on what will drive the greatest impact at all times.

                                    -

                                    Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.

                                    -

                                    Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.

                                    -

                                    Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.

                                    -

                                    Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                    ",,https://jobs.lever.co/benchsci/717bffec-fe21-4ba5-ba7e-aa1bbd0da763,aimasters@vectorinstitute.ai,,,,2020-03-28T14:05:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/29745441-engineering-manager-machine-learning-at-benchsci,,expired,2020-02-12T14:05:00.000Z,admin,Scaling (20-499),,Health,Manager,Bachelors Degree,New Posting, -61fdf0f6-755d-45de-b47b-faa0449d178f,30136410,NVIDIA,Deep Learning Research Scientist Intern (under Sanja Fidler),on_site,"Toronto, ON, Canada",2020-02-19T21:50:49.752Z,"

                                    NVIDIA is searching for a world-class researcher to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

                                    -

                                    What you’ll do:

                                    +

                                    +

                                    +

                                    Job Level:

                                    Individual contributor
                                    ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202109-127945&locale=en&title=MLOps+Engineer&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2021-12-08T18:26:25.662Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/93253159-mlops-engineer-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202109-127945&locale=en&title=MLOps+Engineer,expired,2021-11-07T07:19:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +5db97c70-c978-4d33-a30b-b288d910ea2c,93553665,TD Bank Group,Data Management Specialist,on_site,"Toronto, ON",2021-11-08T20:32:05.320Z,"
                                    +

                                    Company Overview

                                    +
                                    +

                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                    +

                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                    +
                                    +

                                    +

                                    Department Overview

                                    +
                                    +

                                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                    +

                                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                    +

                                    If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                    +
                                    +

                                    +

                                    Job Description

                                    +
                                    +

                                    Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                    +

                                    Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

                                    +

                                    As a Business Information Management Specialist, you will:

                                      -
                                    • Gain hands on experience with designing and implementing various machine learning techniques
                                    • -
                                    • Partner and collaborate with other forward-thinking team members and external researchers.
                                    • -
                                    • Have the opportunity to participate and speak at conferences and events
                                    • -
                                    • Publish original research
                                    • -
                                    • Work with intelligent machines powered by AI computers that can learn, reason and interact with people in multiple industries.
                                    • -
                                    • Today, a self-driving car powered by Artificial Intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time to be part of this team!
                                    • +
                                    • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
                                    • +
                                    • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                    • +
                                    • Develop business requirements; design and implement complex business data information management frameworks
                                    • +
                                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                                    • +
                                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                    • +
                                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                    • +
                                    • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                    -

                                    What we’re looking for:

                                    +
                                    +

                                    +

                                    Requirements

                                    +
                                    +

                                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                      -
                                    • Currently pursuing a B.Sc, Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field.
                                    • -
                                    • Good communications skills.
                                    • -
                                    • Bachelor’s requirements:
                                    • -
                                    • Familiarity with theory and practice of machine learning, common machine learning frameworks
                                    • -
                                    • Track record of academic excellence
                                    • -
                                    • Master’s and PhD requirements:
                                    • -
                                    • Excellent knowledge of theory and practice of machine learning.
                                    • -
                                    • Knowledge of common machine learning frameworks
                                    • -
                                    • Track record of research excellence
                                    • -
                                    • Strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
                                    • +
                                    • Undergraduate degree or technical certificate
                                    • +
                                    • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                    • +
                                    • Sound conceptual knowledge in your area of specialty
                                    • +
                                    • Fluent multiple programming languages
                                    • +
                                    • Expert level analytical and problem-solving skills
                                    • +
                                    • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                    • +
                                    • In-depth knowledge of competitor and market trends
                                    • +
                                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                    • +
                                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                    • +
                                    • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
                                    • +
                                    • Act as a brand champion for our business area / function and TD, both internally and externally
                                    -

                                    Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and Nvidia is increasingly known as “the AI computing company.”

                                    ",machow@nvidia.com,,aimasters@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2020-04-04T21:51:00.000Z,True,23,0,311,https://talenthub.vectorinstitute.ai/jobs/30136410-deep-learning-research-scientist-intern-under-sanja-fidler-at-nvidia,,expired,2020-03-09T17:30:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, -e54d66e7-0d23-4f21-b013-efffafa7aef8,30488920,Thomson Reuters,Data Scientist Intern - Summer 2020,on_site,"Kitchener, ON, Canada",2020-02-26T19:48:58.838Z,"

                                    Job Description

                                    +

                                    -

                                    If you like data and want to apply your skills in data science to real problems with real customers, then we want you.

                                    +

                                    Additional Information

                                    +
                                    +
                                    Must Have:
                                    +
                                      +
                                    • 4 years of ETL experience
                                    • +
                                    • 4 years of data modeling and SQL
                                    • +
                                    +

                                    Nice to Have:

                                    +
                                      +
                                    • Experience working in Python
                                    • +
                                    • Big Data and Cloud Data
                                    • +
                                    • Azure, Spark and Hive working experience
                                    • +
                                    +
                                    #dataengineer
                                    +

                                    -

                                    At Thomson Reuters Labs:

                                    +

                                    Hours

                                    +
                                    37.5
                                    +

                                    +

                                    Inclusiveness

                                    +

                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                    +

                                    +
                                    ",,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-11T16:28:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/93553665-data-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,expired,2021-11-08T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +4c8f5ee7-e07c-48ae-88a1-1b3b30dfddf3,93625907,Intact Financial Corporation,"Senior Machine Learning Software Developer, Intact Lab",on_site,"Toronto, ON, Canada",2021-11-09T04:46:19.702Z,"
                                    +

                                    Who needs insurance? Everybody. That keeps us busy. Very busy.

                                    At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                    Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                    Here, innovation is everyone's job. Ready to make your mark?


                                    +
                                    About the role
                                    +

                                    Calling all AI and machine learning experts! We have a fantastic opportunity for an experienced Senior Machine Learning Software Developer to join our team.

                                    Artificial intelligence is shaping the future of insurance. Our lab turns this vision into a reality. As Canada's largest home, auto and business insurer, we're here to cultivate the next generation of technology and talent. Together, we're helping our customers protect what matters to them most through the power of data science, machine learning and AI.

                                    As a tech pioneer within an AI lab, you’ll have the opportunity to:

                                    • Use machine learning and advanced statistics to help build innovative solutions for real-life customer and business problems
                                    • Develop and deploy to production data and machine learning pipeline at scale
                                    • Influence the AI roadmap for the largest home, auto business insurer in Canada
                                    • Explore new technologies and use them in your own solutions
                                    • Validate the analytical approach and project outputs of other team members
                                    • Grow alongside a diverse team of world-class experts in data science, software engineering, actuarial science, business and design
                                    • Mentor and coach interns and other engineers to help us grow, as a team

                                    All this plus great work-life balance!


                                    +
                                    Qualifications
                                    +

                                    • A bachelor’s degree in a discipline such as computer science, software engineering, AI, or a related field. MSc is an asset
                                    • Significant experience of at least 5 years in software development
                                    • 3+ years of experience solving business problem using machine learning
                                    • Expertise in programming in languages such as Python and machine learning libraries such as Tensorflow, PyTorch, scikit-learn, etc.
                                    • Expertise with the machine learning development lifecycle
                                    • Experience developing data and machine learning pipelines
                                    • Familiar with the underlying theory of machine learning (supervised, unsupervised and reinforcement learning)
                                    • Unlimited curiosity and the desire to challenge the status quo
                                    • You can take a vaguely defined issue and bring it to life using a creative approach
                                    • Strong communication, time management and work organization skills
                                    • The passion for developing world-class data products

                                    Some nice-to-haves:

                                    • Knowledge of DevOps modern tools such as Docker, Kubernetes, ELK;
                                    • Knowledge of our tech stack: xgboost, LightGBM, Flask, MongoDB, Kafka

                                    Here are a few reasons why others have joined our team:

                                    • An award-winning, inspiring workplace that supports its people and recognizes great work
                                    • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                    • A comprehensive financial rewards program that recognizes your success
                                    • An extensive, flexible benefits package
                                    • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                    • A $350 annual wellness account that promotes an active lifestyle

                                    +
                                    Closing Statement
                                    +

                                    Flexible Work Arrangements

                                    Right now, we support 100% remote work, if your role permits. We anticipate that in November, we’ll be moving to a hybrid approach which gives us the best of both worlds – a mix of home and in-office workdays.

                                    We are an Equal Opportunity Employer

                                    At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                    If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                    Background Checks

                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                    Internal Candidates

                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                    Eligibility to Work in Canada

                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                    +
                                    Referral Bonus
                                    +

                                    This role is eligible for employee referral bonus. #myReferrals3000


                                    +
                                    LinkedIn Sponsored
                                    +

                                    #LI-IT


                                    +
                                    ",,https://careers.intactfc.com/ca/en/job/123106/Senior-Machine-Learning-Software-Developer-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-11-22T16:46:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/93625907-senior-machine-learning-software-developer-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123106/Senior-Machine-Learning-Software-Developer-Intact-Lab,expired,2021-11-09T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +b8103893-5f35-474e-8146-d8131fcb9845,93645749,Unity Health Toronto,"Full-Stack Developer (React/Redux, Python)",temporary,"Toronto, ON, Canada",2021-11-09T14:02:42.473Z,"

                                    The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is a Machine Learning healthcare group that is creating data-driven software products for hospital end-users that increase hospital efficiency and improve patient care. The DSAA has deployed over 20 advanced analytics solutions into real clinical settings at St. Michael's Hospital, St. Joseph's Health Centre, Providence Healthcare, and external institutions, achieving reduced mortality rates, cost savings, and improved patient experiences across our deployment sites.

                                    +

                                    The Product Development team within the DSAA is responsible for creating software products that make advanced analytics accessible to hospital end-users and well-integrated into clinical workflows. We are accountable to both the Design (HCI, Data Visualization, UI/UX, Implementation) and Software Engineering (Backend, Frontend, Testing, DevOps, MLOps) required to realize data science products.

                                    +

                                    The Full Stack Developer will work closely with machine learning scientists, data engineers, and hospital end-users to bring machine learning models into clinical use through the creation of software applications. Our products include data dashboards, web applications, mobile applications, automated alerts, and integrations with EMR systems. Furthermore, the Full Stack Developer will help engineer the next generation of the DSAA's application infrastructure (MLOps, DevOps, CI/CD, monitoring).

                                    +

                                    We are seeking candidates who are passionate about contemporary challenges in healthcare and excited by the potential for innovations in computing to address them. We invite candidates with a demonstrated excellence in full-stack software engineering to apply.

                                    +

                                    Primary responsibilities include:

                                    +
                                      +
                                    • Works independently and as part of a team to architect, develop, test, review, and deploy complex software applications using; Typescript (React/Redux), Python (Flask, Django), Java (Spring Boot), HTML, CSS.
                                    • +
                                    • Contributes to the DSAA software utilities and infrastructure, including but not limited to:
                                        +
                                      • CI/CD pipelines (GitLab CI/CD)
                                      • +
                                      • Internal Software packages (Typescript/JavaScript, Python, Java, R)
                                      • +
                                      • Relevant open-source software projects
                                      • +
                                      • Monitoring Infrastructure (errors, warnings, data drift, UI and usage analytics)
                                      • +
                                      • Docker images
                                      • +
                                      • Deployment infrastructure
                                      • +
                                      +
                                    • +
                                    • Meets with hospital end-users to understand needs, user-stories, and requirements.
                                    • +
                                    • Participates in quality assurance and improvement initiatives such as code reviews and testing.
                                    • +
                                    • Presents demonstrations to end-users upon the completion of new software features.
                                    • +
                                    • Address unplanned downtime events in a timely manner.
                                    • +
                                    • Helps create lo-fidelity designs in collaboration with designers when needed to help validate requirements with end-users.
                                    • +
                                    • Helps with technical AI commercialization efforts by generalizing internally developed products and data science/machine learning models.
                                    • +
                                    +

                                    Qualifications

                                      -
                                    • Build new solutions from the ground up, work like a startup, utilizing the resources of a large enterprise.
                                    • -
                                    • Take on two to three projects during the term, with the goal of getting new products into market, building new data sets, and de-risking new customer opportunities in terms of technical viability, data viability, and customer demand.
                                    • -
                                    • Some of our applied areas of work include Natural Language Processing, Machine Learning, Deep Learning, and Data Visualization across domain areas of Legal, Tax & Accounting, Regulation, and News.
                                    • -
                                    • Learn from our global team of talented research/data scientists across our sister-lab locations: Boston, London, Zug.
                                    • -
                                    • Continually research and learn how to apply state-of-the-art techniques to keep your skills on the cutting edge of what is possible.
                                    • -
                                    • Evaluate career opportunities with Thomson Reuters Technology Centre that’s rapidly hiring en route to over 1,500 staff in Canada as part of a $100M expansion.
                                    • -
                                    • Experience working out of our Waterloo/Toronto location:
                                        -
                                      • In Waterloo, work at Communitech, one of the most amazing workspaces in Waterloo, home to hundreds of startups and dozens of innovation labs from companies like TD, LCBO, Interac, Manulife, and Deloitte. Over 100,000 square feet of open collaborative workspace, no cubes.
                                      • -
                                      • In Toronto, work in the heart of the financial district and immerse yourself in North America’s fastest growing tech market.
                                      • +
                                      • A Bachelor’s degree in, Software Engineering, Computer Science and/or a related discipline (Master’s degree is an asset).
                                      • +
                                      • Minimum 5 years of full-stack web development experience (inclusive of relevant coursework).
                                      • +
                                      • Extensive experience developing complex user-interfaces with the React/Redux framework (Typescript preferred), and expert-level proficiency with HTML, and CSS required.
                                      • +
                                      • Extensive experience designing and developing RESTful HTTP APIs using at least one of the following:
                                          +
                                        • Preferred: Flask, Django, Spring Boot +
                                        • +
                                        • Ruby on Rails, Express.js, or another contemporary web framework
                                      • +
                                      • Excellent written and verbal communication skills for collaborating with cross-functional teams.
                                      • +
                                      • Extensive experience working with SQL Databases (Postgres, MySQL, etc...) and Object-Relational Mapping libraries (ORMs, such as; SQL Alchemy, Django ORM, Java JPA/Hibernate).
                                      • +
                                      • Experience using Docker and Docker-compose, or similar container or VM tools.
                                      • +
                                      • Proficient using Git to manage code versioning and collaboration tools such as Github and Gitlab.
                                      • +
                                      • Experience with container orchestration technologies such as Kubernetes, Docker Swarm, or HashiCorp Nomad is an asset.
                                      • +
                                      • Experience with R is an asset (Shiny and Tidyverse packages).
                                      • +
                                      • Experience with Data Science tools and libraries is an asset; Python (pandas, numpy, tensorflow), R (dplyr, tidymodels).
                                      • +
                                      • Experience with NoSQL databases such as MongoDB is an asset.
                                      • +
                                      • Experience working in a healthcare setting is an asset.
                                      • +
                                      • Experience with Cloud solutions (AWS, Google Cloud, Azure), CI/CD tools (GitLab CI/CD, Jenkins, CirclCI, Github Actions), and monitoring tools (Sentry, Google Analytics, Matomo) is an asset.
                                      • +
                                      • Experience with Data Science and Machine Learning tools and methods is an asset.
                                      • +
                                      • Experience with UI/UX design tools and best practices is an asset.
                                      • +
                                      +

                                      +

                                      Work Arrangements

                                      +

                                      Location: Toronto Downtown (near St. Michael’s Hospital)

                                      +

                                      Remote Work Arrangement: In-office 1 or 2 days per week, remote work for rest of week (until further notice).

                                      +

                                      Benefits: HOOPP pension contributions, extended healthcare and dental, corporate discounts

                                      +

                                      As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy

                                      ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=887935,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-11-29T17:19:00.000Z,False,0,4,60,https://talenthub.vectorinstitute.ai/jobs/93645749-full-stack-developer-react-redux-python-at-unity-health-toronto,,expired,2021-11-09T14:02:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +c2bc0f41-0c0f-40b7-9a51-4fe7d7107818,93847415,Sun Life Financial,"Lead Data Scientist/ Director, Data Science",on_site,"Ontario, Canada",2021-11-11T06:32:05.981Z,"
                                      +
                                      +
                                      +

                                      You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                      +

                                      +

                                      +

                                      Job Description:

                                      +

                                      +

                                      Role Summary

                                      +

                                      +

                                      As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                      +

                                      +

                                      Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                      +

                                      +

                                      The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                      +

                                      +

                                      What will you do?

                                      +
                                        +
                                      • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                      • +
                                      • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                      • +
                                      • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                      • +
                                      • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                      • +
                                      • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                      • +
                                      +

                                      +

                                      What do you need to succeed?

                                      +
                                        +
                                      • Genuine interest in life insurance and learning the business

                                      • +
                                      • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                      • +
                                      • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                      • +
                                      • 3+ years experience leading data science projects

                                      • +
                                      • 3+ years experience in managing and leading a small team of data scientists

                                      • +
                                      • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                      • +
                                      • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                      • +
                                      +

                                      +

                                      What will be nice to have?

                                      +
                                        +
                                      • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                      • +
                                      • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                      • +
                                      • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                      • +
                                      • Experience with data analytics and data visualization best practices

                                      • +
                                      +

                                      +

                                      What’s in it for you?

                                      +
                                        +
                                      • Competitive salary and bonus structure influenced by market range data

                                      • +
                                      • 20 days vacation per year and an innovative sabbatical program

                                      • +
                                      • A friendly, collaborative and inclusive culture

                                      • +
                                      • Being part of our Analytics community, where we share best practices and broaden skill sets

                                      • +
                                      • Flexible Benefits from the day you join to meet the needs of you and your family

                                      • +
                                      • Pension, stock and savings programs to help build and enhance your future financial security

                                      • +
                                      • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                      • +
                                      +

                                      +

                                      +

                                      The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                      +

                                      +

                                      Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                      +

                                      +

                                      Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                      +

                                      +

                                      At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                      +

                                      +

                                      We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                      +

                                      +

                                      Salary Range:

                                      104,000/104 000 - 171,700/171 700

                                      +

                                      Job Category:

                                      Advanced Analytics

                                      +

                                      Posting End Date:

                                      14/11/2021
                                      +
                                      ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-15T06:37:02.343Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/93847415-lead-data-scientist-director-data-science-at-sun-life-financial,,expired,2021-11-11T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +e9e080a1-63a0-4c00-8dc3-4562be527a8e,93889471,Layer 6,Sr. DevOps Engineer,on_site,"Ontario, Canada",2021-11-11T16:33:33.729Z,"

                                      You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                      +

                                      We are looking for world-class devops engineers and problem solvers.
                                      You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                      +

                                      Job Requirements

                                      +

                                      Must-Have:

                                      +
                                        +
                                      • 5+ years of experience building sophisticated and automated production infrastructure
                                      • +
                                      • Solid Azure or AWS experience
                                      • +
                                      • Extensive experience with Kubernetes, docker and container orchestration
                                      • +
                                      • Experience with Saltstack or other configuration management
                                      • +
                                      • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                                      • +
                                      • Experience with managing CI/CD tools and pipelines
                                      • +
                                      • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                                      • +
                                      • Experience with Git, Jenkins and Elasticsearch
                                      • +
                                      • Strong verbal and written communication skills, with the ability to work effectively across teams
                                      • +
                                      • BA/BS degree or equivalent experience; Computer Science background preferred
                                      • +
                                      +

                                      Nice-to-Have:

                                      +
                                        +
                                      • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                                      • +
                                      • Familiarity with monitoring tools
                                      • +
                                      • Experience with automated testing tools
                                      • +
                                      • Experience troubleshooting and tuning systems performance
                                      • +
                                      • Knowledge of Java
                                      +

                                      Benefits:

                                      +
                                        +
                                      • Entrepreneurial and learning culture
                                      • +
                                      • Excellent health coverage and pension plan
                                      • +
                                      • Four weeks paid vacation
                                      • +
                                      • Catered lunches twice a week over machine learning talks
                                      • +
                                      ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-12-11T16:33:49.825Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/93889471-sr-devops-engineer-at-layer-6,,expired,2021-11-11T16:33:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +59efc1c3-73bb-469a-aa42-1a63c2c3d176,93995077,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2021-11-12T02:43:06.208Z,"

                                      Job Type: Permanent
                                      Primary Location: Multiple Locations, Canada
                                      All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                      +
                                      +

                                      +

                                      Our Purpose

                                      +

                                      At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                      +

                                      +

                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                      Partner with clients to solve their most complex problems
                                      Uncover the possibilities of AI in your career and set the foundation for success tomorrow

                                      +
                                      +
                                      +
                                      +

                                      +
                                      +

                                      +

                                      Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                      +
                                      +
                                      +
                                      +

                                      What will your typical day look like?

                                      +
                                      +

                                      +

                                      As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                      You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                      +

                                      Specifically, you will:

                                      +
                                      • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                      • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                      • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                      • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.
                                      • +
                                      +

                                      +
                                      +
                                      +
                                      +

                                      About the team

                                      +
                                      +

                                      +

                                      Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                      +


                                      Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

                                      +
                                      +
                                      +
                                      +

                                      Enough about us, let’s talk about you

                                      +
                                      +

                                      +

                                      You are someone with:
                                      • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                      • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                      • 5+ years of technology consulting or industry experience in data & analytics delivery
                                      • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                      • Effective communicator that can explain complex technical concepts to executives and business leaders

                                      +

                                      +

                                      If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                      +


                                      The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                      +
                                      +
                                      +
                                      +

                                      +

                                      Our shared values

                                      +

                                      While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                      +

                                      They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                      +

                                      Every day, we live our Purpose through the following five shared values:

                                      +
                                      • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                      • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                      • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                      • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                      • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                      • +
                                      +



                                      The next step is yours

                                      +

                                      Sound like The One Firm. For You? Apply by [insert date].

                                      +

                                      At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                      +

                                      We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                      +

                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                      ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-15T19:22:09.204Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/93995077-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2021-11-12T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +515bc987-a899-49fd-b0c8-5999fe7de81e,93995078,Deloitte,"Software Engineer (Collibra), Omnia AI",on_site,"Toronto, Ontario, Canada",2021-11-12T02:43:06.267Z,"

                                      Job Type: Permanent
                                      Primary Location: Toronto, Ontario, Canada
                                      All Available Locations: Toronto; Calgary; Montreal

                                      +

                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                      Be encouraged to deepen your technical skills…whatever those may be.
                                      Be empowered to lead and have impact with clients, our communities and in the office.

                                      +
                                      +
                                      +

                                      +

                                      Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                      +
                                      +
                                      +

                                      What will your typical day look like?

                                      +

                                      As a Software Engineer (Collibra), Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                      +
                                      +
                                      +

                                      About the team

                                      +
                                      +

                                      As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                      +
                                      • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                      • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, NoSQL solutions etc.,
                                      • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                      • Deploy and integration solutions on the cloud and on-premises.
                                      • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                      • +
                                      +
                                      +
                                      +
                                      +

                                      Enough about us, let’s talk about you

                                      +
                                      +

                                      You are someone with:

                                      +
                                      • Strong development skills in Java. Groovy experience is a plus.
                                      • Solid understanding of databases, application architectures, open source frameworks etc.
                                      • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                      • Exposure to Agile development methods in data-oriented projects
                                      • Knowledge of Linux, shell scripting etc.
                                      • +
                                      +

                                      Strong candidates will also have some of the following capabilities:

                                      +
                                      • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                      • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                      • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                      • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                      • +
                                      +
                                      +
                                      +
                                      +

                                      Why Deloitte?

                                      +

                                      Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                      +
                                      • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                      • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                      • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                      • +
                                      +


                                      The next step is yours

                                      +

                                      Sound like The One Firm. For You?

                                      +

                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                      +

                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                      +

                                      +

                                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                      ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-15T19:23:28.611Z,False,0,0,34,https://talenthub.vectorinstitute.ai/jobs/93995078-software-engineer-collibra-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-11-12T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, +8710eb3c-4023-4031-ad62-9aac4d4bcc02,94364467,Vector Institute,"Applied Machine Learning Specialist (ML Operations) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-11-14T05:44:10.145Z,"
                                      +

                                      POSITION OVERVIEW

                                      +

                                      As an Applied ML Specialist with Machine Learning Operations (MLOps) expertise, you will contribute to developing reusable machine learning (ML) systems and software to apply and scale research breakthroughs in ML and artificial intelligence (AI). You will collaborate with some of the best and brightest ML engineers and scientists at Vector and leading industry and healthcare organizations. You will collaborate with some of the best and brightest ML researchers.

                                      +

                                      +

                                      KEY RESPONSIBILITIES

                                      -

                                      Key Responsibilities

                                      +
                                        +
                                      • + Design and develop reproducible ML pipelines and scalable ML systems; +
                                      • +
                                      • + Deliver software and models for ML development projects following an agile methodology with teams that can include Vector Applied ML Specialists, Applied ML Scientists, professional staff, researchers, students, and sponsors; +
                                      • +
                                      • + Design and implement reference architectures for ML systems for training as well serving workloads that apply ML research to real-world problems using public and private datasets; +
                                      • +
                                      • + Design, develop and contribute to open-source software that applies ML research techniques to common problems; +
                                      • +
                                      • + Research and extend open source MLOps tools and frameworks that address the full life cycle of end-to-end machine learning systems; +
                                      • +
                                      • + Mentor sponsor engineers and student researchers on industry collaboration projects that apply ML research to shared problems, mentoring on engineering best practices, and assisting with operational issues; +
                                      • +
                                      • + Develop prototypes and proofs of concept; +
                                      • +
                                      • + Report and present MLOps best practices and outcomes for team efforts including demos, status, and results; and, +
                                      • +
                                      • Other duties as assigned.
                                      • +

                                      -

                                      We’re looking for a passionate Data Scientist with deep technical skills and entrepreneurial spirit to join our Waterloo/Toronto Lab. You are driven and resourceful, capable of building data-driven insights that address complex current and future business problems. In this role, you will demonstrate the art of the possible and have significant and direct impact on our company's products.

                                      +

                                      PROFILE OF THE IDEAL CANDIDATE

                                      -

                                      Qualifications

                                        -
                                      • Student in Computer Science or related fields, we have a special interest in Master/PhD students.
                                      • -
                                      • Experience in one or more of:
                                          -
                                        • Information Retrieval
                                        • -
                                        • Natural Language Processing
                                        • -
                                        • Machine Learning
                                        • -
                                        +
                                      • + Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline; Master’s degree preferred
                                      • -
                                      • Development skills to rapidly deliver minimum viable products
                                      • -
                                      • Strong experience with programming languages like Python, Java, or Scala
                                      • -
                                      • Strong experience with data systems like DBMS, NoSQL, Elastic Search or graph databases
                                      • -
                                      • Bonus:
                                          -
                                        • Deep Learning
                                        • -
                                        • Big data systems
                                        • -
                                        • Knowledge Graphs
                                        • -
                                        +
                                      • + 3+ years of experience in software engineering +
                                      • +
                                      • 1+ years experience in MLOps
                                      • +
                                      • + Experience applying building ML systems for training and inference +
                                      • +
                                      • + Good understanding of CI/CD/CT as it relates to machine learning lifecycle +
                                      • +
                                      • + Demonstrated experience in machine learning and/or statistics +
                                      • +
                                      • + Demonstrated analytical skills to identify signal in data and feasibility of prediction +
                                      • +
                                      • + Expert Knowledge and experience with Python for ML and DevOps. Experience with C++, Java or Scala is preferred +
                                      • +
                                      • + Experience working on teams that land high quality software successfully in production is preferred +
                                      • +
                                      • + Experience with MLflow, Airflow, Seldon core and Kubernetes is preferred +
                                      • +
                                      • + Understanding of model maintenance, retraining and evaluation frameworks is a plus +
                                      • +
                                      • + Experience in leading open-source deep learning software frameworks (PyTorch, Tensorflow, and CUDA) is preferred +
                                      • +
                                      • + User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset

                                      -

                                      At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                      +

                                      Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on October 31, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                      -

                                      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                      +

                                      Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                      -

                                      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                      -


                                      Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                      To learn more about what we offer, please visit thomsonreuters.com/careers.

                                      More information about Thomson Reuters can be found on thomsonreuters.com.

                                      -



                                      Locations
                                      Kitchener-Ontario-Canada

                                      ",,https://jobs.thomsonreuters.com/ShowJob/Id/411946/Data-Scientist-Intern-Summer-2020/,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-03-03T15:32:00.000Z,False,0,7,16,https://talenthub.vectorinstitute.ai/jobs/30488920-data-scientist-intern-summer-2020-at-thomson-reuters,,expired,2020-02-26T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -824096c1-11d7-44bc-a1fe-27d37c9fe133,30489117,Thomson Reuters,Software Engineer for Data Science Intern - Summer 2020,on_site,"Waterloo Region, ON, Canada",2020-02-26T19:52:46.418Z,"

                                      Job Description

                                      +

                                      At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                      -

                                      Software Engineer for Data Science (Thomson Reuters Labs – Waterloo, Canada)

                                      +

                                      If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                      +
                                      ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=152&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-12-15T19:44:00.000Z,False,0,4,70,https://talenthub.vectorinstitute.ai/jobs/94364467-applied-machine-learning-specialist-ml-operations-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-11-14T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, +95a2a2cd-754c-4bb5-bcea-89738fbee008,94590932,TD Bank Group,"Senior Business Insights Analyst, TD Wealth",on_site,"Toronto, ON",2021-11-15T20:32:08.223Z,"
                                      +

                                      Company Overview

                                      +
                                      +

                                      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                      +

                                      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                      +

                                      -

                                      Data science is one of the hottest jobs on the planet. If you’re a developer or engineer looking to break into the field, we’ve got the job for you.

                                      +

                                      Department Overview

                                      +
                                      +

                                      What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                      +

                                      We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                      +

                                      -

                                      At Thomson Reuters Labs:

                                      +

                                      Job Description

                                      +
                                      +

                                      About this Role

                                      +

                                      As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                      +

                                      In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                      +

                                      As a Senior Business Insights Analyst, you will:

                                      +
                                        +
                                      • Work closely with business partners to gain deep understanding of the business objectives, produce insights and recommend business actions to align with strategy and/or solve business problems
                                      • +
                                      • Develop analysis to illustrate business trends and identify areas of business opportunities
                                      • +
                                      • Present and communicate generated insights and recommended business actions to executive leaders/business partners in an easily digestible manner
                                      • +
                                      • Execute on data and insight requests accurately and within a timely manner
                                      • +
                                      • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                      • +
                                      • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                      • +
                                      • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                      • +
                                      • +Work independently and/or oversee as the senior analyst/subject matter expert and be accountable within a specialized business management function
                                      • +
                                      +

                                      +

                                      Requirements

                                      +
                                      +What can you bring to TD?

                                      Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        -
                                      • Build new solutions from the ground up, work like a startup, utilizing the resources of a large enterprise.
                                      • -
                                      • Take on two to three projects during the term, with the goal of getting new products into market, building new data sets, and de-risking new customer opportunities in terms of technical viability, data viability, and customer demand.
                                      • -
                                      • Some of our applied areas of work include Natural Language Processing, Machine Learning, Deep Learning, and Data Visualization across domain areas of Legal, Tax & Accounting, Regulation, and News.
                                      • -
                                      • Learn from our global team of talented research/data scientists across our sister-lab locations: Boston, London, Zug.
                                      • -
                                      • Work at Communitech, one of the most amazing workspaces in Waterloo, home to hundreds of startups and dozens of innovation labs from companies like TD, LCBO, Interac, Manulife, and Deloitte. Over 100,000 square feet of open collaborative workspace, no cubes.
                                      • -
                                      • Evaluate career opportunities with a technology team that’s hiring rapidly en route to over 1,500 staff in Canada as part of a $100M expansion.
                                      • +
                                      • Undergraduate degree or technical certificate
                                      • +
                                      • Five (5) or more years relevant experience
                                      • +
                                      • Hands on experience in Python/PySpark, Tableau, and SQL
                                      • +
                                      • Experience in modeling (ML algorithms) is highly desirable
                                      • +
                                      • Management consulting and/or MBA background is preferable
                                      +
                                      +

                                      +

                                      Hours

                                      +
                                      37.5

                                      +

                                      Inclusiveness

                                      +

                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                      -

                                      Key Responsibilities

                                      +
                                      ",,https://jobs.td.com/en-CA/jobs/14227996/senior-business-insights-analyst-td-wealth-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-02T20:37:07.650Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/94590932-senior-business-insights-analyst-td-wealth-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14227996/senior-business-insights-analyst-td-wealth-toronto-ca/,expired,2021-11-15T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +add13d46-ffe7-4135-b73a-6852800371d8,26340240,Sun Life Financial,Director - Data Science,on_site,"Waterloo, ON, Canada",2019-12-09T21:45:49.981Z,"

                                      You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                      -

                                      We’re looking for a passionate Software Engineer with an entrepreneurial spirit and an interest in data science to join our Lab in Waterloo. You are driven and resourceful, capable of building data-driven insights that address complex current and future business problems. In this role, you will help us in creating applications to support our data science initiatives. You will also work with our data visualization team to create an exceptional user experience, helping users understand and trust the output of AI algorithms.

                                      +

                                      Job Description:

                                      +

                                      This role will lead analytics initiatives within the Solutions Research & Development team, with particular emphasis on analysis that will inform product design, client engagement and profitability.

                                      -

                                      Qualifications

                                      +

                                      As a data scientist, you will be part of a large analytics community and will be focused within the Individual Insurance business responsible for data science, data flows, visualization, machine learning and business intelligence.

                                      +

                                      +

                                      Within SLF Canada, Individual Insurance is one of the largest business units. Individual Insurance accounts for approximately 20% of worldwide earnings in the overall Sun Life Financial group of companies, and over 40% of Canadian earnings. We manufacture and distribute leading-edge life insurance and health insurance products and solutions for over two million individual customers.

                                      +

                                      +

                                      What will you do?

                                        -
                                      • Development skills to rapidly deliver minimum viable products
                                      • -
                                      • Well-disciplined in software engineering and software architecture
                                      • -
                                      • Focus on writing clean, testable code
                                      • -
                                      • Strong experience with programming languages like HTML, JavaScript, Python, Java, or Scala
                                      • -
                                      • Strong experience with data systems like DBMS, NoSQL, Elastic Searchor graph databases
                                      • -
                                      • Strong experience in full-stack development and web technology
                                      • -
                                      • Bonus:
                                          -
                                        • Work experience in Docker, AWS, Azure, or Google cloud
                                        • -
                                        • Work experience in Machine Learning libraries
                                        • -
                                        • Interest in Information Retrieval research
                                        • +
                                        • Lead and participate in agile problem solving initiatives, collaborating within a cross functional team of specialists, to design innovative solutions for clients and business leaders
                                        • +
                                        • A self starter with demonstrated success in using analytics to drive innovation with experience in guiding initiatives with our business partners
                                        • +
                                        • Apply data science expertise including descriptive, predictive, machine learning, deep learning and AI techniques to generate new insights and solve business problems.
                                        • +
                                        • Manage a small team of data scientists and analysts which includes prioritizing work assignments, overseeing quality of analytics work, and staff mentoring
                                        • +
                                        • Collaborate with IT partners and other Data Science teams within the Canadian business to build out the data environment and analytics work platforms
                                        • +
                                        • Develop standard operational performance metrics, reporting and data analytics to support dashboard level management metrics
                                        • +
                                        • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area.
                                        • +
                                        • Proactively engage other leaders on business solution development for knowledge sharing, input and best practices.
                                        • +
                                        • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
                                        • +
                                        • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
                                        -
                                      • +

                                        +

                                        What will you need to succeed?

                                        +
                                          +
                                        • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and multiple business units.
                                        • +
                                        • Communication (verbal and written) and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics
                                        • +
                                        • Deep knowledge and experience of the algorithms and techniques of modern data science especially as they pertain to business and experimentation
                                        • +
                                        • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
                                        • +
                                        • 2+ years of quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports
                                        • +
                                        • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
                                        • +
                                        • Comfortable using one or more statistical programming languages (i.e., Python/R/SAS) to work with data sets

                                        +

                                        What is in it for you?

                                        +
                                          +
                                        • Competitive salary and bonus structure influenced by market range data
                                        • +
                                        • 4 weeks vacation
                                        • +
                                        • A friendly, collaborative and inclusive culture
                                        • +
                                        • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                        • +

                                        -

                                        You might be familiar with Reuters News, which is one of the 5 biggest media companies in the world, but you might not know that Thomson Reuters is also one of the leading sources of information for 98% of North American legal firms and the vast majority of the fortune 100.

                                        +

                                        Please note that salary is not a constraint for the right candidate.

                                        -

                                        We have data. Lots and lots of data. Over 60,000 TBs worth of data. That’s about 20,000 times more data than exists in Wikipedia.

                                        +

                                        When a new position becomes available which matches your background and experience, the base pay range will be disclosed and correspond to the opportunity Sun Life will consider you for.

                                        -

                                        Come play with us.

                                        +

                                        In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        +

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        -

                                        At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                        +

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        -

                                        As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                        +

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        -

                                        We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                        -


                                        Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                        To learn more about what we offer, please visit thomsonreuters.com/careers.

                                        More information about Thomson Reuters can be found on thomsonreuters.com.

                                        ",,https://jobs.thomsonreuters.com/ShowJob/Id/411943/Software-Engineer-for-Data-Science-Intern-Summer-2020/,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-03-30T14:01:00.000Z,False,0,30,69,https://talenthub.vectorinstitute.ai/jobs/30489117-software-engineer-for-data-science-intern-summer-2020-at-thomson-reuters,,expired,2020-02-26T19:52:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -a5546434-9357-49be-a457-74251dddd1fb,31257028,FreshBooks,Senior Data Modeller,on_site,"Toronto, ON, Canada",2020-03-09T14:05:02.315Z,"

                                        FreshBooks has an ambitious vision. We launched in 2003 but we’re just getting started and there’s a lot left to do. We're a high-performing team working towards a common goal: building an elite online accounting application to help small businesses better handle their finances. Known for extraordinary product and customer service experiences and based in Toronto, Canada, FreshBooks serves paying customers in over 120 countries.

                                        -

                                        The Opportunity – Senior Data Modeller

                                        -

                                        FreshBooks is seeking a Senior Data Modeller to join our team. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. If this profile sounds like you, we’d love to hear from you!

                                        -

                                        Specifically in this position you will:

                                        +

                                        +

                                        Job Category:

                                        +

                                        Advanced Analytics

                                        +

                                        +

                                        Posting End Date:

                                        +

                                        05/01/2020

                                        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Director---Data-Science_JR00026358,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-01-13T20:17:00.000Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/26340240-director-data-science-at-sun-life-financial,,expired,2019-12-09T15:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +0cd4b88b-29cf-484e-a43c-88aeb6f87c25,26340851,Sun Life Financial,Senior Data Engineer,on_site,"Toronto, ON, Canada",2019-12-09T21:56:03.755Z,"

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        +

                                        Job Description:

                                        +

                                        To be considered for this position, you are required to complete two steps in the application process. You will need to submit an online job application and complete an online assessment.

                                        +

                                        +

                                        Join a team that is transforming business data engineering at Sun Life (SL) Canada. Sun Life’s Client Experience Office (CXO) area is aggressively enhancing its member insights capability with new tools, and most importantly, new talent. As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, predictive modelling, business intelligence and deep dive analytics to understand our client needs in new ways, and ultimately enable a leading client experience. As Data Engineer you will join a team that leverages our Big Data capabilities to enable various business objectives by ensuring there is a solid data foundation in place to support data mining, strategic insight and digital capability enablement. In joining CXO you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                        +

                                        +

                                        Given this mandate, the role requires an experienced data specialist (6+ years) with deep experience in data management, a solid understanding of the data needs of analytics and business and new technologies in the world of data. The candidates must have relevant experience in the following areas:

                                          -
                                        • Process unstructured data into a form suitable for analysis
                                        • -
                                        • Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
                                        • -
                                        • Provide ongoing day-to-day support to data analysts and scientists in a growing analytic team
                                        • -
                                        • Guide the company to take a more active role in data collection and reporting
                                        • -
                                        • Establish best practices and checks to improve and monitor data quality
                                        • +
                                        • +Data Management – i.e. design, development, production support
                                        • +
                                        • Knowledge on the data needs for various aspects of data and analytics
                                        • +
                                        • Communication and liaison experience between business, analytics and IT
                                        • +
                                        • +Data discovery - i.e. scoping new data sources, understanding and leveraging current data sources
                                        -

                                        -We think you'll be an amazing fit for this position if your application can demonstrate: -

                                        +

                                        +

                                        The successful candidate for the role will be a key player in our venture into “Big Data” as we operationalize our Big Data and Advanced Data Engineering environment on AWS.

                                        +

                                        +

                                        Role Summary:

                                          -
                                        • Strong understanding of ETL and data warehouse concepts, processes and best practices
                                        • -
                                        • Experience processing large amounts of structured and unstructured data.
                                        • -
                                        • Strong communication and teamwork skills. This means working and effectively communicating with stakeholders of all levels of data competency.
                                        • -
                                        • Programming experience, ideally in Python, in cleaning and scrubbing noisy datasets.
                                        • -
                                        • Experience with BI Tools such as Periscope, Looker or Tableau
                                        • -
                                        • Experience writing data transformation workflows in Python (using Apache Airflow, Luigi, etc) would be a bonus
                                        • -
                                        • Experience working with cloud data warehousing technologies such as AWS Redshift and Google BigQuery
                                        • +
                                        • Maintain a large and complex SAS data repository that provides accurate and reliable data to support analytics, reporting and campaigns in support of digital channels.
                                        • +
                                        • Migrate SAS data processes to Python and Spark Processes with various technologies
                                        • +
                                        • Work intimately for building a data consumption layer working with business
                                        • +
                                        • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.
                                        • +
                                        • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
                                        • +
                                        • Experience with demonstrating business values via PoC and promoting PoC to production
                                        • +
                                        • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences
                                        -

                                        Why Join Us

                                        -

                                        We're a motivated bunch, with our eyes laser-focused on shipping extraordinary experiences to businesses. You will be surrounded by hardworking team members who share a common vision for what an amazing software company could be, and have the opportunity to help build an elite one, right here in Toronto, Canada.

                                        -

                                        Apply Now

                                        -

                                        Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                        -

                                        FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.

                                        -

                                        FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

                                        ",,https://boards.greenhouse.io/freshbooks/jobs/2104391,aimasters@vectorinstitute.ai,https://www.freshbooks.com/careers,,,2020-04-06T14:23:00.000Z,False,0,4,7,https://talenthub.vectorinstitute.ai/jobs/31257028-senior-data-modeller-at-freshbooks,,expired,2020-03-09T14:05:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, -7f613067-b422-48a6-8b87-cefab76f538d,31257434,Wattpad,Machine Learning Engineer - Content Discovery Squad,on_site,"Toronto, ON, Canada",2020-03-09T14:14:58.632Z,"

                                        Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

                                        We are currently looking for a Machine Learning Engineer to join the Content Discovery squad. We are a team of engineers, data scientists, designers, product managers with the vision to connect millions of readers to the right story at the right time. We build recommendation engines and information retrieval systems to power everything from the “Home” page to “Search” and “Browse” experiences. If you have a passion for building discovery systems at massive scale, come join us to build the next iteration of our ML engines!

                                        -

                                        What you'll be doing:

                                        +

                                        Main Accountabilities

                                          -
                                        • Design, build, maintain, and evolve a large scale recommender system serving millions of people per day
                                        • -
                                        • Build platforms and infrastructure for data science at scale.
                                        • -
                                        • Help drive optimization, testing, and tooling to improve quality
                                        • -
                                        • Work collaboratively with other engineers, data scientists, and product managers
                                        • -
                                        • Contribute towards continuous improvement across data and engineering department
                                        • +
                                        • Provide expert guidance on developing the structure and processes to build a Big Data repository (includes basic ETL type processes, QA etc.).
                                        • +
                                        • Work as Product Owner of data products in agile methodology as per the business priority and migrate from SAS to AWS Big Data Environment
                                        • +
                                        • Assist in the initial build of the analytical data model (i.e. developing the SAS/SQL/HQL/Python/Spark/Scala code and data processes)
                                        • +
                                        • Develop and maintain metadata documentation
                                        • +
                                        • Manage, maintain and continuously improve the data model on an ongoing basis.
                                        • +
                                        • Productionize and run models, reports and campaign lists.
                                        • +
                                        • Help develop and align CXO data capabilities with Enterprise Analytics initiative roadmap
                                        • +
                                        • Liaison with IT to improve data processes and add new data as required
                                        • +
                                        • Become one of the organizations top data experts and CXO data steward ensuring data is appropriately interpreted and applied to business problems.
                                        • +
                                        • Assisting modelers with developing datasets for analyses.
                                        • +
                                        • Support campaign target list generation, analyses, measurement and reporting
                                        • +
                                        • Develop a solid understanding the Sun Life Financial Canada’s business
                                        • +
                                        • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
                                        -

                                        What we're looking for:

                                        +

                                        +

                                        Competencies:

                                          -
                                        • Experience building ML systems in production
                                        • -
                                        • Solid understanding of data engineering best practices
                                        • -
                                        • Understanding of software engineering fundamentals and principles
                                        • -
                                        • Proficiency with cloud technologies (AWS, EMR, ECR)
                                        • -
                                        • Proficiency in Python, SQL, and *nix environments
                                        • -
                                        • 3+ years of related industry experience
                                        • -
                                        • Interest in personalization and recommender systems
                                        • +
                                        • Solid communication skills – have the ability to explain complexity of data to a business audience and explain the complexity of business to the IT audience
                                        • +
                                        • Through knowledge and demonstrated experience in data management best practices (importing, cleaning, transforming, validating, quality and modeling data)
                                        • +
                                        • Expert in SQL programming and database development (mandatory 5+ years’ experience)
                                        • +
                                        • Intermediate SAS skills are required with knowledge of Macros
                                        • +
                                        • Intermediate HQL/Python/Spark Skills are required
                                        • +
                                        • Demonstrated experience in data preparation and querying and reporting
                                        • +
                                        • Demonstrated data modelling skills and experience
                                        • +
                                        • Additional professional development in various studies in information technology, business and Statistics
                                        • +
                                        • Adaptable - maintains effectiveness while managing competing demands, able to deal with frequent change, delays or unexpected events
                                        • +
                                        • Organized, takes ownership to meet deadlines and commitments
                                        • +
                                        • Agile team members demonstrate strong past indicators to:
                                            +
                                          • Maintain an ownership mentality
                                          • +
                                          • Quickly make decisions to accelerate data POCs to production
                                          • +
                                          • Drive execution from ideation, to development, through to execution
                                          • +
                                          • Collaborate with teammates to provide insight to business problems
                                          • +
                                          • Advocate for the client, leveraging insights that can drive meaningful marketing tactics
                                          -

                                          Bonus points (not required):

                                          -
                                            -
                                          • Proficiency with Go, PHP, Scala
                                          • -
                                          • Understanding of Kubernetes, serverless workloads and Elasticsearch
                                          • -
                                          • Experience with Tensorflow Serving
                                          • -
                                          • Experience with one of Sagemaker, Kubeflow, or MLflow
                                          • +
                                          -

                                          What we offer:

                                          +

                                          +

                                          Assets

                                            -
                                          • Competitive salary
                                          • -
                                          • Meaningful equity (stock options)
                                          • -
                                          • Career development; we believe in mentorship and supporting you to achieve your goals
                                          • -
                                          • Hackathons
                                          • -
                                          • Health benefits, fully covered on us!
                                          • -
                                          • RRSP Contributions
                                          • -
                                          • Generous vacation, parental leave top-up
                                          • -
                                          • Transit pass, choice of hardware, flexible hours
                                          • -
                                          • Corporate discount for gym membership for you and your family
                                          • -
                                          • A beautiful office in downtown Toronto, with easy access to transit
                                          • -
                                          • And a whole lot more!
                                          • +
                                          • Strong programming in any other language and analytical skills
                                          • +
                                          • Knowledge of AWS Technologies, such as Redshift, Glue or similar
                                          • +
                                          • Experience working with agile methodologies (Scrum, Kanban etc.)
                                          • +
                                          • Expert skills in both SAS and Python are highly preferred
                                          -


                                          About Wattpad
                                          Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

                                          -

                                          What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

                                          -

                                          What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

                                          -

                                          How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                          -

                                          Culture and Diversity
                                          Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                          We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                          ",,https://company.wattpad.com/work-at-wattpad/detail?id=fb04c009-1de7-49dd-ba7e-95213f6c715a,aimasters@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-04-23T16:25:00.000Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/31257434-machine-learning-engineer-content-discovery-squad-at-wattpad,,expired,2020-03-09T14:14:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -914a3532-e03a-44f8-b697-750cbbfcfb87,31257484,Wattpad,Senior Data Analyst,on_site,"Toronto, ON, Canada",2020-03-09T14:16:21.586Z,"

                                          Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

                                          We are looking for a Senior Data Analyst to join our growing Analytics Practice. The Practice’s main focus is to support all of Wattpad's business units and product squads, from building ad-hoc reporting to metrics creation to forecasting and predictive insights projects. The goal is to advocate for and facilitate data-informed decision-making throughout the organization.
                                          In this newly created Senior Data Analyst - Wattpad Studios role, you will need to wear many hats: data miner, analyst, and consultant. Data is critical to how we make content decisions at Wattpad and you will play a key role in helping Wattpad continue to scale!

                                          -

                                          What you will be doing:

                                          +

                                          The candidate that will be retain for this role will have to go through a special clearance from the Royal Canadian Mountain Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.... in applying? Submit a job application by clicking “Apply” and complete an online assessment within 24 hours of submitting your job application using the link below.

                                          Click on this link: https://apply.careerspark.com/j/ac7lVkVylSVG/l/JVxGM3OtFygF to complete the online assessment after you submit your application. You will need to register with our partner Career Spark, using the same e-mail address used for your job application. If you complete this assessment before submitting your job application then you must return to this job posting again to complete your online job application by clicking “Apply”.

                                          +

                                          +

                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                          +

                                          +

                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                          +

                                          +

                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                          +

                                          +

                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                          +

                                          +

                                          Salary Range:

                                          +

                                          67,400/67 400 - 110,100/110 100

                                          +

                                          +

                                          Job Category:

                                          +

                                          Advanced Analytics

                                          +

                                          +

                                          Posting End Date:

                                          +

                                          01/01/2020

                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Data-Engineer_JR00025583,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-01-13T20:17:00.000Z,False,0,7,29,https://talenthub.vectorinstitute.ai/jobs/26340851-senior-data-engineer-at-sun-life-financial,,expired,2019-12-09T21:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +6b20394d-bd67-4897-9490-239afa1d8334,26340977,Magna International,Senior BI Developer/Analyst,on_site,"Toronto, ON, Canada",2019-12-09T21:58:35.629Z,"

                                          Group Description

                                          +

                                          At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                          We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                          +

                                          Role Summary

                                          +

                                          The Business Intelligence (BI) Developer/Analyst will be responsible for interpreting the business needs of stakeholders and for documenting and developing the reporting analytics that meet those needs. This includes the design, development, maintenance, integration and reporting of business systems through cubes, ad-hoc reports, and dashboards. The Business Intelligence Developer/Analyst will work closely and effectively with internal stakeholders and business analysts to provide support and expertise in data management, reporting and underlying infrastructure. This senior position will also need to cover oversight and guidance on deliverables provided by external partners as well a supervising & leading role in the team.

                                          +

                                          Key Responsibilities

                                            -
                                          • Work cross-functionally across the company, helping make sense of our data and in particular its application to the Wattpad Studios business.
                                          • -
                                          • Establish the baselines for many of our metrics, and let us know the costs and benefits of our decision making.
                                          • -
                                          • Not just give recommendations from our data, but back them up with statistical tests.
                                          • -
                                          • Mine our database on independent research projects you think would be beneficial to Wattpad Studios and the content monetization businesses across Wattpad.
                                          • -
                                          • Liaise with business leads across Wattpad Studios and related content monetization teams regarding key learnings and their business applications, taking our technical insights (and problems) and condensing them into an understandable format.
                                          • -
                                          • Aid in the development of Wattpad Studios’ analytics offerings and deliverables (i.e. to industry partners).
                                          • -
                                          • As a part of the Analytics Practice you will work with other analysts to understand how analytics can best be applied at Wattpad, including best practices, recommendations on tools and technology.
                                          • +
                                          • Work with the business to define report requirements and translate those requirements into reporting deliverables
                                          • +
                                          • Design complex business intelligence and analytic solutions based on functional requirements.
                                          • +
                                          • Translate data results into written reports, tables, graphs and charts
                                          • +
                                          • Ensure the availability and performance of the solutions and reports
                                          • +
                                          • Participate in and lead functional and technical specification reviews
                                          • +
                                          • Research technical solutions to business problems
                                          • +
                                          • Develop/train on company standards and procedures to support self-service BI
                                          • +
                                          • Provide training and technical assistance to other team members and users for generation of various types of reporting
                                          -

                                          What we’re looking for:

                                          +

                                          Key Qualifications/Requirements

                                            -
                                          • 2-5 years working in a data analyst, business analyst, operational analyst, or related analyst role, working in a rigorous data-driven environment, or equivalent experience
                                          • -
                                          • Experience with statistical modelling, operational modelling, forecasting, and A/B/N testing
                                          • -
                                          • Experience with experimental design, Bayesian inference and ways of refining complex priors is a plus (e.g. Experience with Markov Chain Monte Carlo methods)
                                          • -
                                          • Functional, hands-on experience with SQL and Python, in a production environment
                                          • -
                                          • Excellent communication, presentation, and interpersonal skills, as you’ll be working with different teams to help answer questions
                                          • -
                                          • University degree in Economics, Finance, Statistics, Mathematics, or a related field preferred
                                          • +
                                          • Competion of University Degree
                                          • +
                                          • 3 to 5 Years of Work Replated Experience
                                          -

                                          What we offer:

                                          +

                                          Skills & Competencies

                                            -
                                          • Competitive salary
                                          • -
                                          • Meaningful equity (stock options)
                                          • -
                                          • Career development; we believe in mentorship and supporting you to achieve your goals
                                          • -
                                          • Hackathons
                                          • -
                                          • Health benefits, fully covered on us!
                                          • -
                                          • RRSP Contributions
                                          • -
                                          • Generous vacation, parental leave top-up
                                          • -
                                          • Transit pass, choice of hardware, flexible hours
                                          • -
                                          • Corporate discount for gym membership for you and your family
                                          • -
                                          • A beautiful office in downtown Toronto, with easy access to transit
                                          • -
                                          • And a whole lot more!
                                          • +
                                          • Experience in developing reporting or dashboard solutions with BI tools (
                                            PowerBI preferred)
                                          • +
                                          • Experience in creating data models (SSAS Tabular Model preferred)
                                          • +
                                          • Proficiency in ETL and Data Warehouse concepts
                                          • +
                                          • Strong SQL and scripting skills
                                          • +
                                          • Advanced skills in Microsoft BI stack (SSAS, SSRS, Power Pivot, Power View, PowerBI)
                                          • +
                                          • Experience with big data tools (Hadoop, Hive, Spark, etc.) would be nice to have
                                          • +
                                          • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                          • +
                                          • Ability to be a strong team member, and communicate effectively
                                          • +
                                          • Ability to priortize and multi-task, and responably estimate work effort for tasks
                                          -

                                          Please submit a GitHub repo or Jupyter notebook from a project you’ve completed or worked on. Or, share a link to similar work. This can be from an academic or industry project.

                                          About Wattpad
                                          Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

                                          -

                                          What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

                                          -

                                          What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

                                          -

                                          How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                          -

                                          Culture and Diversity
                                          Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                          We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                          ",,https://company.wattpad.com/work-at-wattpad/detail?id=28fa9c9a-af60-4b59-8e3a-f4a45484f450,aimasters@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-04-23T16:26:00.000Z,False,0,5,20,https://talenthub.vectorinstitute.ai/jobs/31257484-senior-data-analyst-at-wattpad,,expired,2020-03-09T14:16:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -383612d7-bd96-4f48-a25e-16650c865c58,31259462,Manulife,Data Engineer,on_site,"Waterloo, ON, Canada",2020-03-09T15:21:51.391Z,"

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          +

                                          Additional Information

                                          +
                                            +
                                          • Must be able to communicate in English, both spoken and in written form
                                          • +
                                          • 10-25% Regular Overnight Travel
                                          • +
                                          ",,https://jobs.magna.com/job/Concord-Senior-BI-DeveloperAnalyst/537643517/utm_source=VectorInstitute,aimasters@vectorinstitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2020-02-17T21:59:00.000Z,False,0,8,40,https://talenthub.vectorinstitute.ai/jobs/26340977-senior-bi-developer-analyst-at-magna-international,,expired,2019-12-09T21:58:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, +fdf3a935-b4d2-4d05-939a-7a8b78f8318f,26900800,PwC,Analytics - Analytics Generalist - Senior Associate,on_site,"Toronto, ON, Canada",2019-12-20T19:18:57.966Z,"

                                          Line of Service

                                          +

                                          Advisory

                                          -

                                          Job Description

                                          +

                                          Industry/Sector

                                          +

                                          Not Applicable

                                          -

                                          The EDL Data Engineer in the Data Operations team is responsible for developing, implementing, and maintaining a strategic enterprise data lake capability for collecting, storing, processing enterprise & divisional data to support and enable analytics, digital transformation and operational improvements. This involves researching, recommending and choosing optimal solutions to manage and implement modern data architecture as well as maintaining and monitoring the success of these solutions. You should have a passion for how data can be brought to bear and used to drive deeper, meaningful insights that enhance the customer experience, grow our businesses, minimize risk and engage our employees globally

                                          +

                                          Specialism

                                          +

                                          Analytics

                                          -

                                          The EDL Data Engineer has primary responsibility for:

                                          -
                                            -
                                          • Implementing effective baselining & monitoring to allow for alert, trending and projection of usage capacity of the platform
                                          • -
                                          • Implementing and maintaining effective security procedures and implementations across cluster users and groups
                                          • -
                                          • Developing, maintaining, and testing data pipelines, application framework, infrastructure for data generation; works closely with information architects and other team members to ensure optimization and high quality solutions
                                          • -
                                          • Setting strategic rollout, selection and delivery of proven as well as emerging tooling to ensure that data pipelines are scalable, repeatable and secure serving multiple users within the organization.
                                          • -
                                          • Responsible for ensuring all data management processes conform to standard operating procedures and aligns with how a modern data architecture aligns to enterprise technology standards and policies; contribute and provide guidance around data quality, metadata management, data stewardship and security, and access controls.
                                          • -
                                          • Reviewing and approving designs and coding of data patterns and services - both batch, real-time streaming, and complex event handing demonstrating open technologies;
                                          • -
                                          • Ensuring timely delivery to meet project timeline by automating development and deployment tasks
                                          • -
                                          • Effectively managing operational risk and change with a continuous focus on process improvements;
                                          • -
                                          • Effectively recommending future expansions and contingency plans with an eye towards effectiveness, efficiency, optimization, automation and security.
                                          • -
                                          +

                                          Management Level

                                          +

                                          Senior Associate

                                          -

                                          Knowledge and Skills:

                                          -
                                            -
                                          • Strong experience with DevOps, GitFlow, continuous integration /continuous deployment (CICD), agile & test-driven development and other approaches to accelerate the delivery of new features
                                          • -
                                          • Demonstrated 3-10 years professional experience in big data/data management including a university degree in Engineering, Computer Science, Mathematics, Physics, or equivalent program;
                                          • -
                                          • Extensive experience in data technologies and the use of data to support software development, advanced analytics and reporting.
                                          • -
                                          +

                                          Job Description & Summary

                                          +

                                          A career in our Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues.

                                          -

                                          The following experience is required for this role:

                                          -
                                            -
                                          • Always keeping an eye out for the big picture, end-to-end solution with a strong awareness for impacts and dependencies and the moving from that assessment to action to ratify the impacts and risks.
                                          • -
                                          • Communication strength - demonstrating excellent ability to negotiate difficult discussions and situations to persuade and influence stakeholders to adopt, integrate new processes into their workflow. Highly successful at articulating the value benefits of how a new process or framework will bring benefit to these stakeholders.
                                          • -
                                          • Focused on leveraging synergies, reuse, optimization and automation with a clear understanding of the benefits to be able to drive out meaningful and insightful metrics & KPI’s
                                          • -
                                          • Excellent at prioritizing stakeholder requests through highly critical thinking, fact/data-driven assessments, and discernment for work that will bring positive change. Then, demonstrating the ability to successfully communicate decisions back to stakeholders while maintaining a “firm but fair” mindset.Significant Linux experience including administration, security, patching, and configuration
                                          • -
                                          • Some proficiency in Linux shell scripting (Bash, csh, etc.)
                                          • -
                                          • Basic SQL, advanced preferred & some RDBMS database configuration and administration
                                          • -
                                          • Demonstrated proficiency in at least one major programming language: Java, C++, Go, Python, etc.
                                          • -
                                          • Demonstrated time working with “Big Data”/Hadoop infrastructure and tooling
                                          • -
                                          +

                                          To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

                                          -

                                          Nice to have

                                          +

                                          As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

                                            -
                                          • Prior work with data analytics and reporting: BI tooling, Statistical analysis, cubes, statistical programming languages (R, Python, Julia, SAS, SPSS, etc.)
                                          • -
                                          • Prior work with cloud providers: Azure, AWS, GCP, etc.
                                          • -
                                          • Security and encryption tooling: OpenSSL, Java keytool, Symmetric and Asymmetric encryption, Algorithms (AES, Elliptic Curve, SHA, etc.)
                                          • -
                                          • Experience with security/data protection solutions, Kerberos, Active Directory, HDFS Access Control, OAuth2, OpenID, LDAP
                                          • -
                                          • Experience with network layer security design in VPN, firewall, Load balancers
                                          • -
                                          • Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong teammate.
                                          • +
                                          • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
                                          • +
                                          • Delegate to others to provide stretch opportunities and coach to help deliver results.
                                          • +
                                          • Develop new ideas and propose innovative solutions to problems.
                                          • +
                                          • Use a broad range of tools and techniques to extract insights from from current trends in business area.
                                          • +
                                          • Review your work and that of others for quality, accuracy and relevance.
                                          • +
                                          • Share relevant thought leadership.
                                          • +
                                          • Use straightforward communication, in a structured way, when influencing others.
                                          • +
                                          • Able to read situations and modify behavior to build quality, diverse relationships.
                                          • +
                                          • Uphold the firm's code of ethics and business conduct.

                                          -

                                          What about Perks?

                                          -

                                          Manulife has lots of perks including, but not limited to:

                                          -
                                            -
                                          • Competitive compensation
                                          • -
                                          • Retirement Savings Accounts including a fully funded Pension Plan and a 401(k) plan with company match.
                                          • -
                                          • Manulife Share Ownership Program with company match.
                                          • -
                                          • Customizable Benefits Package including Health, Dental and Vision.
                                          • -
                                          • Generous time off policy.
                                          • -
                                          • Financial support for ongoing training, learning, and education
                                          • -
                                          • DressSmart flexible work attire policy.
                                          • -
                                          • An abundance of career paths and opportunities to advance
                                          • -
                                          • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.
                                          • -
                                          +

                                          Education (if blank, degree and/or field of study not specified)

                                          +

                                          Degrees/Field of Study required:

                                          -

                                          This is a full time permanent role that can be worked from our Waterloo or Toronto office.

                                          +

                                          Degrees/Field of Study preferred:

                                          -

                                          We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                          +

                                          Certifications (if blank, certifications not specified)

                                          -

                                          About Manulife

                                          -

                                          Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers' needs first and providing the right advice and solutions. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2017, we had approximately 34,000 employees, 73,000 agents, and thousands of distribution partners, serving more than 26 million customers. As of December 31, 2017, we had over $1.04 trillion (US$829.4 billion) in assets under management and administration, and in the previous 12 months we made $26.7 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          -

                                          LI-JH-JHC

                                          +

                                          Desired Languages (If blank, desired languages not specified)

                                          +

                                          Travel Requirements

                                          +

                                          Up to 40%

                                          -


                                          If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                          -


                                          About Manulife

                                          -

                                          Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          -



                                          -

                                          Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                          ",,https://jobs.manulife.com/ShowJob/JobId/889004/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-03-24T23:21:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/31259462-data-engineer-at-manulife,,expired,2020-03-09T15:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -653c46ef-c2ce-4d9b-89c5-2be72fb0300d,31259880,Uber,"Research Intern, Uber ATG (2020)",on_site,"Toronto, ON, Canada",2020-03-09T18:19:26.075Z,"

                                          About the Role

                                          -

                                          Research interns at Uber ATG R&D will have the flexibility to pursue a range of different directions in research and application. Some projects might involve fundamental machine learning and AI research, pushing the frontiers of the field by developing new algorithms for learning and control. Others could include devising and training new models based on Uber's huge self-driving car data sets. These models may be seen through to production where they will impact millions. Interns will have the opportunity to work directly with a distinguished group of researchers and engineers in ATG Research group, and across other product and operations teams at Uber ATG.

                                          -

                                          An internship will last for 16 weeks or more and will span a time-frame that is suitable for the candidate. During this period, interns will meet with researchers and teams across Uber ATG and converge on initial project directions, and mentorship will be arranged.Interns will be encouraged to publish their work externally at top machine learning venues (NIPS, ICLR, ICML, CVPR, EMNLP, ACL, etc.), via blog posts, or by posting open source projects.

                                          -

                                          Eligibility Requirements

                                          -
                                            -
                                          • Actively pursuing BS, MS, or PhD in a technical field, and returning back to school after the internship is complete.
                                          • -
                                          • Coursework in or working knowledge of linear algebra, calculus, and probability.
                                          • -
                                          • Coding ability in Python or C/C++
                                          • -
                                          • Demonstrated experience with machine learning or deep learning algorithms, and demonstrated passion for the same. If you're excited about ML, show us what you've done so far!
                                          • -
                                          -

                                          Preferred Qualifications

                                          -

                                          Demonstrated success at self-driven projects: whether you coded something great from the ground up, executed a beautiful research project, organized a group of your peers to action, asked and answered an important societal question, or started a company, we're looking for people that are used to pressing toward ambitions, exciting goals.

                                          -

                                          A strong track record of open source contributions in any area, particularly machine learning. Impactful, well-cited publications in any field, particularly machine learning. Interns will work from Uber ATG's R&D locations (San Francisco, CA OR Toronto, Canada). We strongly encourage applications from candidates with diverse backgrounds and from anywhere in the world! Candidates who need a visa to work in the US are also encouraged to apply; we will investigate options on a case-by-case basis for those who are accepted.

                                          -

                                          At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                          -

                                          We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

                                          ",,https://www.uber.com/global/en/careers/list/56564/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-03-24T23:21:00.000Z,False,0,14,44,https://talenthub.vectorinstitute.ai/jobs/31259880-research-intern-uber-atg-2020-at-uber,,expired,2020-03-09T18:19:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, -041ddade-3991-4cc8-843f-a4284b54f09b,31520007,Scotiabank,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2020-03-11T17:28:51.020Z,"

                                          The role and the Team

                                          +

                                          Available for Work Visa Sponsorship?

                                          +

                                          No

                                          -

                                          Leads and oversees Machine Learning focused Robotic Program implementations in Enterprise Productivity / Technology ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. Promotes Machine Learning and Robotics across the Bank and will be the primary point of contact with multiple stakeholders who will be at different stages of their journey with Machine Learning and robotics and requiring bespoke interactions.

                                          +

                                          Government Clearance Required?

                                          +

                                          No

                                          -

                                          Accountabilities

                                          +

                                          Job Posting End Date

                                          +

                                          +

                                          +

                                          PwC is committed to building a diverse workforce representative of the communities we serve. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

                                          ",,https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Toronto/Analytics---Analytics-Generalist---Senior-Associate_115595WD-1,aimasters@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2020-02-03T19:19:00.000Z,False,0,7,37,https://talenthub.vectorinstitute.ai/jobs/26900800-analytics-analytics-generalist-senior-associate-at-pwc,,expired,2019-12-20T19:18:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +6f79bc00-691a-43e9-a3c1-63cac46cf50b,26900807,PwC,Analytics - Analytics Generalist - Data Scientist - Senior Associate,on_site,"Toronto, ON, Canada",2019-12-20T19:26:18.470Z,"

                                          Line of Service

                                          +

                                          Advisory

                                          +

                                          +

                                          Industry/Sector

                                          +

                                          Not Applicable

                                          +

                                          +

                                          Specialism

                                          +

                                          Analytics

                                          +

                                          +

                                          Management Level

                                          +

                                          Senior Associate

                                          +

                                          Job Description & Summary

                                          +

                                          A career in our Data & Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues. In this role, you’ll have the chance to work on truly challenging and ambiguous business problems, where you'll need to marry your sharp business acumen with the application of data science to drive business value for our clients. As a Data Scientist, you will play a key role in building and enhancing our advanced analytics and machine learning capabilities, working closely with our strategy and management consulting business to understand business needs and develop innovative solutions that leverage machine learning and other advanced modeling techniques. This is a truly unique role that will offer the best of both business strategy and analytics problem solving and personal development opportunities.

                                          +

                                          +

                                          To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

                                          +
                                            +

                                            +

                                            In addition, as a Senior Associate, you'll need to work effectively as part of a team of diverse backgrounds, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities include but are not limited to:

                                              -
                                            • Responsible for Scalability and infrastructure for architecture specific to Machine Learning software/hardware including capacity management of the overall solution.
                                            • -
                                            • Work to define best practices for Machine Learning delivery including implementation of lifecycle suggestions, team organization, and production management
                                            • -
                                            • Work closely with delivery team during the development of business processes, retrieving statistics and model results analysis, as well as defining and implementing post-processing logic.
                                            • -
                                            • Build and integrate generic or custom components for existing or new ML algorithms
                                            • -
                                            • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
                                            • -
                                            • Verifying data quality, and/or ensuring it via data cleaning
                                            • -
                                            • Supervising the data acquisition process if more data is needed
                                            • -
                                            • Train models and tuning their hyperparameters
                                            • -
                                            • Analyzing the errors of the model and designing strategies to overcome them
                                            • -
                                            • Develop processing patterns for data
                                            • -
                                            • Deploying models to production
                                            • -
                                            • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                            • -
                                            • Provide technical architectural designs solutions/reviews for major business application and technology initiatives focusing on robotic process automation (RPA), robotic desktop automation (RDA) and Machine Learning;
                                            • -
                                            • Develop and document RPA configuration best practices, configure new RPA processes and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand;
                                            • -
                                            • Act as an internal consultant on all RPA/RDA infrastructure related items
                                            • -
                                            • Participate in all phases of the project development life cycle;
                                            • -
                                            • Manage, analyze and present Performance and Capacity Management functions to Director, Enterprise Architect and other IT&S Solutions Architects on all systems supported;
                                            • -
                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                            • -
                                            • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                            • -
                                            • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
                                            • -
                                            • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                            • +
                                            • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
                                            • +
                                            • Delegate to others to provide stretch opportunities and coach to help deliver results.
                                            • +
                                            • Develop new ideas and propose innovative solutions to problems.
                                            • +
                                            • Use a broad range of tools and techniques to extract insights from current trends in business area.
                                            • +
                                            • Review your work and that of others for quality, accuracy and relevance.
                                            • +
                                            • Share relevant thought leadership.
                                            • +
                                            • Use straightforward communication, in a structured way, when influencing others.
                                            • +
                                            • Able to read situations and modify behavior to build quality, diverse relationships.
                                            • +
                                            • Uphold the firm's code of ethics and business conduct.

                                            -

                                            Education and Experience:

                                            +

                                            Requirements:

                                            +
                                              +
                                            • An interest in upskilling for a digital world and technology trends, an openness to learning new tools and adapting how you work
                                            • +
                                            • Bachelor or higher degree in Software Development, Computer Science, Engineering, Statistics, Mathematics, Operations Research or related field
                                            • +
                                            • Business education, training or similar corporate experience is an asset (e.g. MBA or MS in Business Analytics, Management or Economics, or management consulting experience)
                                            • +
                                            • Experience in developing and applying machine-learning algorithms, statistical, optimization and simulation tools to commercial problems
                                            • +
                                            • Experience building and applying regression, clustering, and advanced machine-learning including supervised and unsupervised learning models
                                            • +
                                            • Experience with analyzing a variety of large data sets using querying tools such as SQL
                                            • +
                                            • Fluency in one or more data science programming languages (ideally Python and/or R)
                                            • +
                                            • Experience with Visualisation tools such as Tableau and PowerBI
                                            • +

                                            +

                                            Why you’ll love working for PwC
                                            We want you to love every (if not, almost every) minute of your career, having said this, we get it. Each life stage we go through comes with a new set of priorities and demands. This is why we support you through a range of financial and non-financial rewards and benefits, so regardless of your situation, there’s something for everyone.

                                            +

                                            Leading benefits for our permanent staff include:

                                              -
                                            • Undergraduate Degree in Computer Science or technical equivalent
                                            • -
                                            • 10 + years technical work experience
                                            • -
                                            • 2+ years of related work experience in RPA, RDA and Machine Learning implementation with focus on leading the conceptual, logical and physical design of Infrastructure environments
                                            • -
                                            • Minimum 4-5 years in Corporate Systems Development environments or equivalent experience.
                                            • -
                                            • Excellent verbal and written communication skills are essential.
                                            • -
                                            • Excellent organizational skills and the ability to manage multiple complex initiatives
                                            • -
                                            • Technical designations an asset
                                            • -
                                            • Experience through all phases of the technology life cycle, including project planning, requirements definition, design, build/configuration, testing and operational transition
                                            • -
                                            • Experience working in an Agile project environment
                                            • -
                                            • Advanced analytical and problem-solving skills.
                                            • -
                                            • Experience / certified to use Workfusion
                                            • -
                                            • French and / or Spanish language skills an asset
                                            • -
                                            • Strong background in data structures and algorithms
                                            • -
                                            • Good background in machine learning concepts
                                            • -
                                            • 3-5 years of Java experience, hands-on programming skills
                                            • -
                                            • Solid understanding of design patterns and OOP
                                            • -
                                            • Knowledge on SQL, regex, HTTP, REST, JSON, XML, Python is must
                                            • -
                                            • Hands on Maven, Git, JUnit, InteliJ IDEA/Eclipse
                                            • -
                                            • Basic knowledge on NLP nomenclature is must.
                                            • +
                                            • A competitive compensation package
                                            • +
                                            • Sponsored investments, pensions and saving plans with matching firm contributions
                                            • +
                                            • Flexible working
                                            • +
                                            • PwC FlexBenefits, for personalised medical & dental coverage, including enhanced mental health benefit
                                            • +
                                            • Every day recognition and real time appreciation through our rewards and recognition program
                                            • +
                                            • Dress for your day with our flexible dress environment
                                            • +
                                            • Health, wellness and fitness perks
                                            • +
                                            • Family-friendly benefits, including maternity and parental leave policies and support networks to help you prepare for your successful return to work
                                            • +
                                            • Adoption/surrogacy benefits
                                            • +
                                            • Back-up child and elder care support
                                            • +
                                            • Career defining project work and international experience
                                            • +
                                            • Development opportunities including learning on the job, formal learning, learning from others and access to “Vantage” our digital learning system
                                            • +
                                            • Award winning programs including “Women in Leadership” and “Enhanced Pursuit Program”
                                            • +
                                            • A coach to help develop skills, diversify experiences and achieve career aspirations
                                            +

                                            See how you can create your future at PwC: https://pwc.to/2kUQFOp

                                            +

                                            Education (if blank, degree and/or field of study not specified)

                                            +

                                            Degrees/Field of Study required:

                                            -

                                            Additional skills

                                            +

                                            Degrees/Field of Study preferred:

                                            -
                                              -
                                            • Hands-on experience with rule-based models
                                            • -
                                            • Knowledge of statistics and probability theory is a plus
                                            • -
                                            • Standford NLP, Apache UIMA, Tableau, TensorFlow, JavaScript, Linux
                                            • -
                                            +

                                            Certifications (if blank, certifications not specified)

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            -

                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                            +

                                            Desired Languages (If blank, desired languages not specified)

                                            -

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Machine-Learning-Engineer-ON/539070717/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-13T17:32:00.000Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/31520007-machine-learning-engineer-at-scotiabank,,expired,2020-03-11T17:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -a21762b1-12b2-47f4-b7c0-66a2108629d2,31683931,Intact Financial Corporation,Senior Data Scientist,on_site,"Toronto, ON, Canada",2020-03-13T17:54:19.655Z," - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                            -

                                            At Intact, insurance is not about things. It’s about people. It’s what we believe, and it shapes everything we do. It’s why we strive to provide a second-to-none experience for our customers and create an inspiring workplace for our employees to thrive in.

                                            -

                                            As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                            -
                                            Your Job
                                            -

                                            #IntactCareers

                                            -

                                            How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                            -

                                            With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                            -

                                            Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.

                                            -

                                            Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                            -

                                            Workplace: Toronto (700 University av.)

                                            -

                                            Here are a few ways you will make a difference:

                                            +

                                            Travel Requirements

                                            +

                                            Up to 40%

                                            +

                                            +

                                            Available for Work Visa Sponsorship?

                                            +

                                            No

                                            +

                                            +

                                            Government Clearance Required?

                                            +

                                            No

                                            +

                                            +

                                            Job Posting End Date

                                            +

                                            +

                                            PwC is committed to building a diverse workforce representative of the communities we serve. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

                                            ",,https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Toronto/Analytics---Analytics-Generalist---Data-Scientist---Senior-Associate_115587WD-1,aimasters@vectorinstitute.ai,https://www.pwc.com/ca/en/careers.html,,,2020-01-13T20:19:00.000Z,False,0,14,47,https://talenthub.vectorinstitute.ai/jobs/26900807-analytics-analytics-generalist-data-scientist-senior-associate-at-pwc,,expired,2019-12-20T19:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +e08c7d77-55c3-43f7-a0d9-a5cadd50318f,27066607,Uber,Uber AI Residency Program 2020,on_site,"Toronto, ON, Canada",2019-12-24T18:47:04.249Z,"

                                            he Uber AI Residency is an intensive one-year program (starting mid-late June 2020) intended for people seeking to advance their careers in machine learning research and practice. Read more about the program on the Uber Eng blog.

                                            +

                                            Residents will have the flexibility to pursue a range of different directions in research and application. Some projects might involve fundamental machine learning and AI research, pushing the frontiers of the field by developing new algorithms for learning and control. Others could include devising and training new models based on Uber's huge data sets. These models may be seen through to production where they will impact millions. Yet other projects could use new or existing models in concert with Uber's data to provide critical insights into our changing world. Residents will have the opportunity to work directly with a distinguished group of researchers and engineers within Uber ATG.

                                            +

                                            A Residency will last for 12 months and will begin with an initial period of learning, exploration, and collaborative ideation. During this period, Residents will meet with researchers at Uber ATG and converge on initial project directions, and mentorship will be arranged. Projects that span disciplines and teams are encouraged, and mentors may be selected from any team as appropriate for the project. Residents will be encouraged to publish their work externally at top machine learning venues (NIPS, ICLR, ICML, CVPR, EMNLP, ACL, etc.), via blog posts, or by posting open source projects.

                                            +

                                            The application will close on January 19th, but candidates who apply by January 5th will be given priority. Notifications about next steps will be sent in late February.

                                            +

                                            What you'll need

                                            +

                                            Eligibility Requirements

                                              -
                                            • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                            • -
                                            • Transform complex databases into relevant conclusions and recommendations
                                            • -
                                            • Keep pace with new approaches and trends and use them in your own solutions
                                            • -
                                            • Help maintain our data mining tools and platforms
                                            • -
                                            • Make actionable recommendations based on the findings
                                            • -
                                            • Work with other departments to promote the adoption of analytical principles within the organization
                                            • -
                                            • Validate the quality of the analytical approach and project outputs of the other team members
                                            • -
                                            • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions
                                            • +
                                            • BS, MS, or PhD in a technical field or equivalent experience
                                            • +
                                            • Coursework in or working knowledge of linear algebra, calculus, and probability
                                            • +
                                            • Coding ability in Python or C/C++
                                            • +
                                            • Demonstrated experience with machine learning or deep learning algorithms, and demonstrated passion for the same. If you're excited about ML, show us what you've done so far!
                                            -
                                            -
                                            Your Skills
                                            -

                                            We can offer you:

                                            +

                                            Preferred Qualifications (any of the below are great but none are required):

                                              -
                                            • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                            • -
                                            • Opportunities to have global impact with your work
                                            • -
                                            • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                            • -
                                            • A team of great colleagues to learn with and from
                                            • -
                                            • Continuous learning
                                            • -
                                            • Flexible and friendly working environment
                                            • -
                                            -

                                            Here’s what you offer us:

                                            +
                                          • Demonstrated success at self-driven projects: whether you coded something great from the ground up, executed a beautiful research project, organized a group of your peers to action, asked and answered an important societal question, or started a company, we're looking for people that are used to pressing toward ambitions, exciting goals.
                                          • +
                                          • A strong track record of open source contributions in any area, particularly machine learning.
                                          • +
                                          • Impactful, well-cited publications in any field, particularly machine learning.
                                          • + +

                                            Residents will work from Uber ATG in San Francisco, or Uber ATG in Toronto. We strongly encourage applications from candidates with diverse backgrounds and from anywhere in the world! Candidates who need a visa to work in the US or Canada are also encouraged to apply; we will investigate options on a case-by-case basis for those who are accepted.

                                            +

                                            Application process:

                                            +

                                            The applications consists of two steps. Both must be completed or applications will not be considered!

                                            +

                                            Step 1:

                                            +

                                            Click the ""Apply"" button below, then ""Apply with Resume,"" and then submit your CV or Resume. Fill out the subsequent screens, and finally click ""Apply Now"" to submit step 1 of the application.

                                            +

                                            Step 2:

                                            +

                                            Collect the following required information:

                                              -
                                            • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                            • -
                                            • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                            • -
                                            • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                              • Open-source frameworks: R, Python, GitHub
                                              +
                                            • Transcript from your most recent degree (unofficial is fine)
                                            • +
                                            • A cover letter containing (1) a brief statement on why you would be a great resident at Uber (2) a brief statement on a scientific question, machine learning model, and/or Uber dataset that you think would be exciting to work on.
                                            • +
                                            +

                                            Collect as much of the following optional information as possible:

                                            +
                                              +
                                            • List of awards, prizes, grants, or competitions won
                                            • +
                                            • List of publications or link to Google Scholar page, if you have one
                                            • +
                                            • Link to your GitHub
                                            • +
                                            • Link to your personal site or blog
                                            • +
                                            • Link to your LinkedIn
                                            • +
                                            +

                                            And submit the above set of information via this supplementary application form hyperlinked below:

                                            +

                                            Application for Uber AI Residency (Step 2)

                                            +

                                            Note: Candidates that pass the first round of review will be asked to submit a letter of recommendation by February 21st to be considered. Please keep this timeline in mind so you are able to give your referer enough notice.

                                            +

                                            Timeline

                                            +

                                            January 5th: Soft application deadline

                                            +

                                            January 19th: Hard application deadline (candidates are encouraged to apply by January 5th, although we will continue to review applications submitted until January 19th)

                                            +

                                            Late January: First round of notifications will be sent with requests for recommendation letters and/or phone interviews

                                            +

                                            Mid-March: Residency decisions announced

                                            +

                                            Questions? Please see if your question is covered in our FAQ or, if not, email ai-residency@uber.com with any questions.

                                            +

                                            We're changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we're a part of the logistical fabric of more than 600 cities around the world. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

                                            +

                                            For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

                                            +

                                            And that's just what we're doing today. We're thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we're in for the long haul. We're reimagining how people and things move from one place to the next.

                                            ",,https://www.uber.com/global/en/careers/list/57071/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-02-07T18:47:00.000Z,False,0,20,148,https://talenthub.vectorinstitute.ai/jobs/27066607-uber-ai-residency-program-2020-at-uber,,expired,2019-12-24T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, +d9330f04-4928-4930-a173-d0405035feee,27066609,Uber,"Research Engineer, Self Driving",on_site,"Toronto, ON, Canada",2019-12-24T18:49:31.606Z,"

                                            About the Role

                                            +

                                            You will participate in the unique effort of bringing innovative state-of-the-art deep-learning models for self-driving into production, and onto autonomous vehicles. You will collaborate closely with a team of highly skilled researchers and engineers, tackling an array of challenges related to applying machine learning to self-driving vehicles. You will work on a variety of research engineering tasks related to algorithms for detection & perception, prediction, motion planning & automated map production, to name a few.

                                            +

                                            What You'll Need

                                            +
                                              +
                                            • Minimum 4 years experience building production level software systems, preferably with Python and C++ (candidates not meeting this requirement but excel in other competencies will be considered)
                                            • +
                                            • Expertise in performance evaluation and optimization of deep learning or computational science algorithms, particularly using GPUs and distributed computing
                                            • +
                                            • Experience with parameter and architecture tuning of deep learning algorithms
                                            • +
                                            • Solid knowledge of Python and C++ internals, including scientific computing libraries
                                            • +
                                            • Demonstrable track-record of learning and deep-diving as needed into complex existing and new technologies
                                            • +
                                            • Intense sense of ownership, initiative-taking, and a can-do attitude
                                            • +
                                            • Great attention to detail and a data-driven approach to problem solving
                                            • +
                                            • Team-player with a strong collaboration and communication skills, who responds positively to feedback
                                            • +
                                            +

                                            Bonus Points

                                            +
                                              +
                                            • Expert level knowledge of one or more of the following: TensorFlow, PyChram, CUDA, cuDNN, OpenCL
                                            • +
                                            • Familiarity with considerations related to sensor data (RGB, LiDAR) such as calibration, data capturing, noise sources, transformations, etc.
                                            • +
                                            • Familiarity with standard web software frameworks for implementing internal research tools
                                            • +
                                            +

                                            At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                            +

                                            We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

                                            ",,https://www.uber.com/global/en/careers/list/52741/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-03-09T18:49:00.000Z,False,0,12,56,https://talenthub.vectorinstitute.ai/jobs/27066609-research-engineer-self-driving-at-uber,,expired,2019-12-24T18:49:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +eebae23e-1bec-4217-93ef-556281edf483,27644797,KPMG,"Data Scientist, Consultant - Lighthouse - Intern Summer 2020",on_site,"Toronto, ON, Canada",2020-01-09T15:56:22.878Z,"

                                            Why KPMG Lighthouse Exponential?

                                            Innovate. Collaborate. Shine. Lighthouse Exponential — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-world business problems and operationalize AI. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                            KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist, Consultant intern to join our team in Summer 2020! This role will be a rewarding experience for you if you:

                                            +
                                              +
                                            • Thrive on challenges and work best in a fast-paced environment where each day is different
                                            • +
                                            • Work well in a project team environment and have strong collaboration and interpersonal skills
                                            • +
                                            • Have a permanent “figure it out” mindset
                                            • +
                                            +


                                            Video: Let’s do this!

                                            What you will do:

                                            +
                                              +
                                            • Work closely with clients in understanding key business issues.
                                            • +
                                            • Gather and analyze requirements to develop impactful recommendations and solutions.
                                            • +
                                            • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                            • +
                                            • Propose and develop results, models and rules engines using statistical, machine learning, Natural Language Processing, Linear Programming, etc.
                                            • +
                                            • Work with large volumes of data (structured and unstructured).
                                            • +
                                            • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                            • +
                                            • Complete data profiling and data quality assessments, including quantitative analysis of data issues
                                            • +
                                            • Effectively communicate orally and written with peers within Lighthouse Exponential, KPMG and the client.
                                            • +
                                            +


                                            What you bring to the role:

                                            +
                                              +
                                            • Expert knowledge in advanced modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                            • +
                                            • Understand the data science workflow, including feature engineering, model development, interpretation of outputs and development of recommendations for end-to-end data science solutions
                                            • +
                                            • Ability to work collaboratively with internal and external stakeholders and strong team work skills
                                            • +
                                            • Familiar with some of the following technical skills:

                                              +
                                                +
                                              • Scripting Languages: Python, R, Scala, SQL, shell scripting
                                              • +
                                              • Machine Learning/Data Science: scikit-learn, Keras, TensorFlow, PyTorch, scipy/numpy, pandas
                                              • +
                                              • Visualization: Power BI, Tableau, ggplot, matplotlib, Plotly
                                              • +
                                              • Software Engineering tools: git, make, docker, Kubernetes
                                              • +
                                              • Cloud/Big Data: Azure, AWS, GCP, Spark
                                              • +
                                            • -
                                            • Expert-level understanding of the underlying theory of machine learning
                                            • -
                                            • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                            • -
                                            • Your great teamworking skills
                                            • -
                                            • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                            • -
                                            • Your strong communication, time management and work organization skills
                                            • +
                                            • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                            • +
                                            • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                            -

                                            Here are a few reasons why others have joined our team:

                                            +


                                            Keys to your success:

                                              -
                                            • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                            • -
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • -
                                            • Flexibility in how and where you work
                                            • -
                                            • A comprehensive financial rewards program that recognizes your success
                                            • -
                                            • An extensive, flexible benefits package
                                            • -
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • -
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • -
                                            • A $350 annual wellness account that promotes an active lifestyle
                                            • +
                                            • Participate in pursuits to gain deeper knowledge of our clients, relationships and KPMG's approach to strengthening them.
                                            • +
                                            • Ability to understand/explain business value of data and analytics concepts.
                                            • +
                                            • Demonstrate a willingness to learn and try a new approach and apply data and analytics concepts to business problems.
                                            -
                                            -
                                            Closing Statement
                                            -

                                            We are an Equal Opportunity Employer

                                            -

                                            At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                            -

                                            Background Checks

                                            -

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            -

                                            Internal Candidates

                                            -

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            -

                                            About us:

                                            -

                                            As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                            -

                                            Our people are at the heart of what we promise – getting people back on track and helping them prosper in good times and be resilient in bad times. We have over 13,000 employees who live our values every day and strive to deliver legendary service to our millions of customers across Canada and the U.S. We have many brands that are a part of the Intact family. In Canada, Intact Insurance and Brokerlink distribute insurance through a wide network of brokers, while belairdirect delivers products direct-to-consumer.
                                            In the U.S., OneBeacon Insurance Group handles our specialty insurance line of business.

                                            -

                                            #li-qc

                                            -
                                            -
                                            Referral Bonus
                                            -

                                            This role is eligible for employee referral bonus. #myReferrals3000

                                            -
                                            -
                                            Eligibility to work in Canada
                                            -

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                            -
                                            -

                                            ",,https://careers.intact.ca/ca/en/job/IFCOUS10888/Senior-Data-Scientist-Toronto,aimasters@vectorinstitute.ai,https://careers.intact.ca/ca/en/,,,2020-04-27T17:54:00.000Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/31683931-senior-data-scientist-at-intact-financial-corporation,,expired,2020-03-13T17:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -e81a9be0-a1b6-43d4-bf5e-151ccd89eccf,32403643,Scotiabank,Platform Engineer (Data Integration),on_site,"Toronto, ON, Canada",2020-03-27T18:28:38.586Z,"

                                            Requisition ID: 85235

                                            +


                                            To apply:

                                            Please apply directly to KPMG at kpmg.ca/careers.

                                            All applications must be received no later than January 21st, 2020 at 9:00AM EST.
                                            Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                            +
                                              +
                                            • Resume
                                            • +
                                            • Electronic copy of your most recent transcript and/or GPA
                                            • +
                                            • Other relevant documents (e.g. GMAT score)
                                            • +
                                            +


                                            If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.

                                            -

                                            Join the Global Community of Scotiabankers to help customers become better off.

                                            +

                                            Location

                                            +

                                            Toronto, ON

                                            +

                                            Our Values, The KPMG Way

                                            -

                                            The Team

                                            -

                                            In partnership with the Data Office and our IT partners the Enterprise Technology Data team supports the banks data office with tooling, projects and IT operational support.

                                            -

                                            The Role

                                            -

                                            The Platform Engineer will play an active role on the team by collaboratively assisting, analyzing to architect, design and development of data platforms using tools and technologies such as DataStage, Talend for Big Data, Informatica, Talend Ingestion, Talend pipeline, Hadoop, Erwin Data Modeler, Erwin DI, Apache Spark, DevOps, Kubernetes, Containers and SQL.

                                            -

                                            Some of the key accountabilities include:

                                            +

                                            We lead by example | We work together | We respect the individual
                                            We seek the facts and provide insight | We are open and honest in our communication
                                            We are committed to our communities | Above all, we act with integrity

                                            +

                                            KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                            +

                                            ",,https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25081&siteid=5065#jobDetails=687284_5065,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-01-21T20:48:00.000Z,False,0,31,94,https://talenthub.vectorinstitute.ai/jobs/27644797-data-scientist-consultant-lighthouse-intern-summer-2020-at-kpmg,,expired,2020-01-09T15:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, +27d27e44-9ea2-43d5-a169-936b411fdfce,28057239,KPMG,Business Consultant - Lighthouse - Intern Summer 2020,on_site,"Toronto, ON, Canada",2020-01-13T20:29:00.749Z,"

                                            Why KPMG Lighthouse Exponential?

                                            +


                                            Innovate. Collaborate. Shine. Lighthouse Exponential — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-world business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                            KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Business Consultant intern to join our team Summer 2020! This role will be a rewarding experience for you if you:

                                              -
                                            • Responsible for the design & configuration of highly available enterprise data applications & platforms.
                                            • -
                                            • Process data from the ingestion point into the enterprise data lake (EDL) until the star schema (dimensions and fact tables) as well as data delivery to the outbound processes.
                                            • -
                                            • Rationalize the relationships expressed in the logical data model to the schema of the physical data store Lead, plan and build quality Conceptual, Logical, Physical and Semantic Data models for Operational Data Stores, Data Warehouses and Data Marts using tools like Erwin.
                                            • -
                                            • Must be well versed with deployment or automation of pipelines
                                            • -
                                            • Building technology relationships by interacting closely with the Enterprise.
                                            • -
                                            • Application development - manage release activities, conduct code review sessions, and carry out data validation exercises and User acceptance criteria compliant. Issue resolution, Performance tuning, change management and scheduling.
                                            • +
                                            • Thrive on challenges and work best in a fast-paced environment where each day is different
                                            • +
                                            • Work well in a project team environment and have strong collaboration and interpersonal skills
                                            • +
                                            • Have a permanent “figure it out” mindset
                                            -

                                            -

                                            What You Will Bring to Succeed

                                            +


                                            Video: Let’s do this!

                                            What you will do:

                                              -
                                            • Design & build semantic layer to enable data platform for all business intelligence reporting and Analytics needs.
                                            • -
                                            • Knowledge/experience with Talend for Big Data, Talend, Talend Ingestion, Talend pipeline, Hadoop, Erwin Data Modeler, Erwin DI, Apache Spark, DevOps, Kubernetes, Containers, SQL – Installation / Configuration and Troubleshooting.
                                            • -
                                            • Knowledge/experience working with DevOps Tools like Docker, Kubernetes on multiple IT platforms (Windows, Unix/Linux, Cloud Computing).
                                            • -
                                            • Reconcile multiple data sources and data models into a single, logically consistent model
                                            • -
                                            • Map data sources to data models including required transformation logic, business rules and data cleansing rules
                                            • -
                                            • Understand Technical Architecture, build logical & Physical data model, ETL designs, participate in design review forums and validate the solutions
                                            • -
                                            • Strong analytical and problem-solving skills with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner
                                            • -
                                            • Identify and resolve small to medium complex production problems. Monitor and analyze supported services to identify opportunities for improvement and recommend solutions.
                                            • -
                                            • Experience with managing and coordinating team activities for multiple initiatives
                                            • -
                                            • Strong organizational and planning skills
                                            • -
                                            • Excellent verbal and written communications skills
                                            • -
                                            • Experience with providing application support in a multi-site environment
                                            • +
                                            • Apply strong business consulting acumen and statistical background, combined with real-work experience in apply analytics to solve business issues.
                                            • +
                                            • Use practical understanding of advanced analytics methods and big data software for client solutioning.
                                            • +
                                            • Understand and apply engagement economics to deliver engagements within scope, time and budget.
                                            -

                                            -

                                            The Workplace

                                            +


                                            What you bring to the role:

                                              -
                                            • We are technology partners who help the business transform how our employees around the world work
                                            • -
                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                            • -
                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                            • -
                                            • We foster an environment of innovation and continuous learning
                                            • -
                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                            • -
                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                            • +
                                            • Broad, versatile knowledge of analytics and big data landscape.
                                            • +
                                            • Demonstrated analytics solution design and build expertise, work stream management skills, strong business consulting acumen in applying advanced analytics to solve business issues.
                                            • +
                                            • Knowledge of or strong aptitude for quick learning business operations, process, delivery and revenue models.
                                            • +
                                            • Strong communication skills with the ability to explain technical concepts and analytics to business people, explain business processes, concepts, challenges and issues to technical resources.
                                            • +
                                            • Exposure to analytics tools and programming languages (e.g. R, Python, Alteryx, SQL) and visualization platforms (e.g. Tableau, PowerBI).
                                            • +
                                            • Provide general project management and oversee the planning, scheduling and completion of objectives and deliverables of Lighthouse Exponential engagements, asset development and other initiatives.
                                            • +
                                            • Understand the broader D&A concepts and implications, helping engagement teams understand domain context required for delivering meaningful and effective insights from D&A solutions.
                                            • +
                                            • Experts at gathering client information, documenting requirements, summarizing information, layering in market research and synthesizing this information for both:

                                              +
                                                +
                                              • Engagement teams to execute on
                                              • +
                                              • Client teams to action
                                              +
                                            • +
                                            • Oversee the design, management, execution and implementation of complex analytics models.
                                            • +
                                            • Expert storytellers.
                                            • +
                                            +


                                            Keys to your success:

                                            +
                                              +
                                            • Ability to apply data and analytics concepts to business problems.
                                            • +
                                            • Ability to explain data and analytics concepts to clients.
                                            • +
                                            • Assist in the creation of business development materials.
                                            • +
                                            +


                                            To apply:

                                            Please apply directly to KPMG at kpmg.ca/careers.

                                            All applications must be received no later than January 21st, 2020 at 9:00AM EST.
                                            Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                            +
                                              +
                                            • Resume
                                            • +
                                            • Electronic copy of your most recent transcript and/or GPA
                                            • +
                                            • Other relevant documents (e.g. GMAT score)
                                            • +
                                            +


                                            If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.

                                            -

                                            Scotiabank

                                            -

                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            -

                                            Is this Role not the Exact fit?

                                            -

                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                            -

                                            +

                                            Location

                                            +

                                            Toronto, ON

                                            +

                                            Our Values, The KPMG Way

                                            +

                                            We lead by example | We work together | We respect the individual
                                            We seek the facts and provide insight | We are open and honest in our communication
                                            We are committed to our communities | Above all, we act with integrity

                                            +

                                            KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                            +

                                            ",,https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25081&siteid=5065&PageType=JobDetails&jobid=687288#jobDetails=687288_5065,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-01-21T15:00:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/28057239-business-consultant-lighthouse-intern-summer-2020-at-kpmg,,expired,2020-01-13T19:29:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, +09d622aa-ef28-40fd-b950-5f61f3bd5812,28984679,Sun Life Financial,Data Analyst,on_site,"Toronto, ON, Canada",2020-01-31T20:17:05.869Z,"

                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            -

                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                            +

                                            Job Description:

                                            +

                                            The Digital Health Solutions (DHS) Data Analytics team plays a critical role in the execution of the DHS strategy and works very closely with the DHS Management team.

                                            -

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Platform-Engineer-%28Data-Integration%29-ON/539264917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-26T19:52:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/32403643-platform-engineer-data-integration-at-scotiabank,,expired,2020-03-27T18:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -992a531a-4712-4bee-811d-ce10461327a8,32403650,Scotiabank,"Senior Analyst, Procurement Insights and Analytics",on_site,"Toronto, ON, Canada",2020-03-27T18:38:31.028Z,"

                                            Requisition ID: 79356

                                            +

                                            The Data Analytics group is responsible for:

                                            +
                                              +
                                            • Being analytics translators to identify high-impact analytics use cases
                                            • +
                                            • Defining business requirements for data gathering as new products and features are developed within DHS
                                            • +
                                            • Building Dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                            • +
                                            • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems
                                            • +
                                            • Supporting various teams within DHS to leverage best practices associated with data management and develop processes that support data driven decision making
                                            • +

                                            -

                                            Join the Global Community of Scotiabankers to help customers become better off.

                                            +

                                            The Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, modeling and analysis, documentation, delivery, and implementation of various business projects.

                                            -

                                            The Senior Analyst, Procurement Insights & Analytics provides analytical expertise, including research, cost modelling and analytical support services, to inform procurement and category management, decision-making and strategy. This role is a key member of the Procurement Strategy and Capabilities team, providing deep analysis and technical expertise to enable the leadership team to meet business targets and strategic objectives.

                                            +

                                            What Will You Do?

                                            +
                                              +
                                            • Create and maintain ETL processes, dashboard and reports that can be leveraged to find insights
                                            • +
                                            • Develop analysis and reporting tools to support requests for analytical services
                                            • +
                                            • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes
                                            • +
                                            • Develop and present reporting solutions to key stakeholders and partners
                                            • +
                                            • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings
                                            • +
                                            • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                            • +
                                            • Understand and incorporate technology best practices with a primary focus on Tableau and Python.
                                            • +
                                            • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
                                            • +

                                            -

                                            Accountabilities

                                            +

                                            What Do You Need To Succeed?

                                              -
                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                            • -
                                            • Works with procurement and business partners to assess their business needs and contribute meaningfully to the development of procurement and category management strategies by use of data analytics.
                                            • -
                                            • Populates and maintains complex databases and applies analytical tools, techniques and systems to analyze and interpret a wide range of supplier and organizational information and options to support procurement planning and decision making.
                                            • -
                                            • Develops and provides reports to support effective management of supplier performance and to track and report on benefits delivered.
                                            • -
                                            • Uses Python, VBA, etc. to automate manual and repeatable processes, contributing to the overall process efficiencies.
                                            • -
                                            • Envisions, develops, and deploys tools to streamline processes to gain efficiencies and to improve key metrics.
                                            • -
                                            • Undertakes research, cost modelling and analysis of supply markets to identify opportunities and inform sourcing strategies.
                                            • -
                                            • Communicates results of analysis and models through documentations to internal/external audiences, and effectively manages the interface with relevant stakeholders including Internal Audit and Regulators (as required).
                                            • -
                                            • Applies risk management and compliance checks when researching and analyzing supply markets and contract performance to identify potential risks and trigger risk mitigation and management responses.
                                            • -
                                            • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                            • -
                                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                            • +
                                            • Coding experience preferably in Python
                                            • +
                                            • Experience with creating and maintaining visualizations and dashboards in Tableau
                                            • +
                                            • Technical mindset with an undergraduate/masters degree, preferably in Computer Science, Statistics, Mathematics, Engineering, or 2-5 years of business experience in related field
                                            • +
                                            • Familiarity with machine learning applications
                                            • +
                                            • Experience working with relational databases and creating data models with efficient designStrong problem solving and analytical skills
                                            • +
                                            • Demonstrated ability to produce meaningful results from data
                                            • +
                                            • Proven experience consolidating and analyzing data sources
                                            • +
                                            • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                            • +
                                            • Comfortable learning new applications quickly with minimal direction
                                            • +
                                            • Proven ability to work collaboratively within a cross functional team environment
                                            • +
                                            • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                            • +
                                            • Attention to detail and in-depth planning, organizational and time management skills
                                            • +
                                            • Experience with AWS SageMaker would be an asset

                                            -

                                            Qualifications

                                            +

                                            What's in it for you?

                                              -
                                            • 3-5 years of experience in data analytics methodology and techniques
                                            • -
                                            • Advanced technical skills in various data analytics tools, such as Python, SQL Server, VBA, Power Query
                                            • -
                                            • Advanced technical skills in visualization tools, such as Tableau, Power BI
                                            • -
                                            • Understand the wider objectives of procurement practices, such as business and strategic goal
                                            • -
                                            • Strong problem solving and analytical skills
                                            • -
                                            • Excellent verbal and written communication skills; ability to effectively communicate with leadership team
                                            • -
                                            • Proven ability to balance multiple priorities, adapt to constantly changing business environment, work independently, drive projects to completion, and meet deadlines in a fast paced environment
                                            • -
                                            • Bachelor’s degree in management, finance, or related field; master (MA or MSc) in business or related field preferred
                                            • -
                                            • 3 + years’ previous experience in data analytics, project management or financial services roles
                                            • +
                                            • Competitive salary and bonus structure influenced by market range data
                                            • +
                                            • 3 weeks vacation
                                            • +
                                            • A friendly, collaborative and inclusive culture
                                            • +
                                            • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            -

                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                            +

                                            Unique Requirements

                                            +
                                            • Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                            -

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Procurement-Insights-and-Analytics-ON/537935117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-13T17:34:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/32403650-senior-analyst-procurement-insights-and-analytics-at-scotiabank,,expired,2020-03-27T18:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7e297868-facb-439e-8ba5-7463630ce258,32403656,Scotiabank,Reporting Specialist- Data Reporting & Analytics- GBM,on_site,"Toronto, ON, Canada",2020-03-27T18:42:08.454Z,"

                                            Requisition ID: 84680

                                            +

                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                            -

                                            Join the Global Community of Scotiabankers to help customers become better off.

                                            +

                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                            +

                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                            -

                                            Purpose of Job:

                                            -

                                            The GBM COO’s Office is seeking a Reporting Specialist/Senior Analyst to join its Client Insights and Analytics team. The group supports Global Banking & Markets in providing oversight and executing strategic initiatives across all divisions of Global Banking & Markets. This team is responsible for driving the analytics to drive client profitability, sales effectiveness and segmentation. This team is responsible for identifying business opportunities through the use of analytics to drive revenue growth. This role will focus on the Business Intelligence reporting development that provides analytics and insights.

                                            +

                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00027859,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-03-03T15:37:00.000Z,False,0,14,43,https://talenthub.vectorinstitute.ai/jobs/28984679-data-analyst-at-sun-life-financial,,expired,2020-01-31T20:17:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f40520f0-b5b2-44d3-8db3-fbed2ca2d27c,29173609,KPMG,"Data Scientist, Team Lead",on_site,"Toronto, ON, Canada",2020-02-03T16:01:24.829Z,"

                                            Job Description

                                            -

                                            Major Accountabilities:

                                            +
                                            +

                                            Why KPMG Lighthouse?
                                            Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                            KPMG Lighthouse Toronto has an exciting opportunity for a Data Scientist, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                              -
                                            • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                            • -
                                            • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                            • -
                                            • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                            • -
                                            • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                            • -
                                            • Act as client controller to provide an enterprise view of the client across several product lines, to facilitate cross sell and effect resource allocation
                                            • -
                                            • Oversee and review the process and look for improvement
                                            • -
                                            • Support ad hoc analysis requests as required
                                            • -
                                            • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                            • +
                                            • Thrive on challenges and work best in a fast-paced environment where each day is different
                                            • +
                                            • Work well in a project team environment and have strong collaboration and interpersonal skills
                                            • +
                                            • Have a permanent “figure it out” mindset
                                            -

                                            -

                                            Requirements:

                                            +


                                            Video: Let’s do this!

                                            What you will do:

                                              -
                                            • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                            • -
                                            • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                            • -
                                            • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                            • -
                                            • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                            • -
                                            • Act as client controller to provide an enterprise view of the client across several product lines, to facilitate cross sell and effect resource allocation
                                            • -
                                            • Oversee and review the process and look for improvement
                                            • -
                                            • Support ad hoc analysis requests as required
                                            • -
                                            • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                            • +
                                            • Lead teams of data science practitioners who will engineer, build and operationalize AI based solutions.
                                            • +
                                            • Work closely with clients in understanding key business issues.
                                            • +
                                            • Gather and analyze requirements to develop impactful recommendations and solutions.
                                            • +
                                            • GCP, Azure and AWS certifications
                                            • +
                                            • GCP, Azure and AWS experience for deploying AI based solutions
                                            • +
                                            • Deep understanding of designing and architecting AI systems
                                            • +
                                            • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                            • +
                                            • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                            • +
                                            • Propose and develop results, models and rules engines using statistical, machine learning, Natural Language Processing, Linear Programming, etc.
                                            • +
                                            • Work with large volumes of data (structured and unstructured).
                                            • +
                                            • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                            • +
                                            • Perform quantitative analysis of data issues.
                                            • +
                                            • Effectively communicate orally and written with peers within Lighthouse, KPMG and the client.
                                            • +
                                            • MS or PhD-level math, statistics, operations research, engineering, computer science or econometrics.
                                            • +
                                            +


                                            What you bring to the role:

                                            +
                                              +
                                            • Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                            • +
                                            • Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs, and development of recommendations.
                                            • +
                                            • Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling.
                                            +


                                            Keys to your success:

                                            +
                                            • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                            +

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            -

                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                            +

                                            Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations

                                            -

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Reporting-Specialist-Data-Reporting-&-Analytics-GBM-ON/539287517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-03-30T13:58:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/32403656-reporting-specialist-data-reporting-analytics-gbm-at-scotiabank,,expired,2020-03-27T18:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -28af6d6d-9795-468f-9242-4fc9abb0273b,32403669,TD Bank Group,Senior IT Data Specialist,on_site,"Mississauga, ON, Canada",2020-03-27T18:46:06.699Z,"

                                            Company Overview

                                            -

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            -

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            +

                                            Our Values, The KPMG Way

                                            -

                                            Department Overview

                                            -

                                            The Enterprise Protect TRMIS organization vision is to protect, inform, guide and challenge the entire TD community with leadership, expertise, measurable data and risk management oversight. The Technology Enterprise Remediation Oversight (ERO) team is a group of technology governance and risk management professionals focused on providing independent oversight, governance, challenge to ensure quality and timely finding remediation of technology issues/ findings across Technology and report on the results. This team is part of the Enterprise Project TRMIS (Technology Risk Management and Information Security) organization.

                                            +

                                            We lead by example | We work together | We respect the individual
                                            We seek the facts and provide insight | We are open and honest in our communication
                                            We are committed to our communities | Above all, we act with integrity

                                            +

                                            KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                            +

                                            ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:01:00.000Z,False,3,0,42,https://talenthub.vectorinstitute.ai/jobs/29173609-data-scientist-team-lead-at-kpmg,,expired,2020-02-03T16:01:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Team Lead,Masters Degree,New Posting, +d9d226a4-82de-4fe0-877f-34fb9a77ef47,29173615,KPMG,"Data Engineer, Manager",on_site,"Toronto, ON, Canada",2020-02-03T16:03:32.963Z,"

                                            Job Description

                                            -

                                            Job Description

                                            +

                                            Why KPMG Lighthouse?

                                            Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                            KPMG Lighthouse Toronto has an exciting opportunity for a Data Engineer, Manager to join our team! This role will be a rewarding experience for you if you:

                                              -
                                            • Advanced data administration and management of technology finding remediation data management and oversight (i.e. ITACC Management, GRC Issue Management, ED&A frameworks), to help drive actionable insights and aggregate risk of technology issues to Executive / at governing committees
                                            • -
                                            • Provide technical leadership across a broad range of data analysis functions including data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions.
                                            • -
                                            • Elicit, analyze and understand business and data requirements to develop / evolve complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data lifecycle management, governance, lineage, metadata and reporting elements.
                                            • -
                                            • Design / Implement / Enhance reporting platforms, including modeling, ETL, BI framework and be able to deliver complete BI solution that meets business requirements
                                            • -
                                            • Collaborate and build effective working relationships with colleagues across technology to achieve technology issue remediation management and information management objectives
                                            • -
                                            • Work closely with other technology work teams such as, ITS, Architecture, TRMIS, IT Audit, etc. to understand the business meaning of data, and provide analysis and requirements to ensure the data design is fully understood and the development initiatives are in line with the intended design and standards
                                            • -
                                            • Implement processes aligned to data management standards and ensure data quality and data requirements are embedded in and adhered to within the system development deliverables
                                            • -
                                            • Develop and maintain knowledge of data available from upstream sources and data within various platforms
                                            • -
                                            • Collaborate with business and technology partners to elicit information/data requirement and articulate those requirements in a manner that can be easily understood by team members
                                            • -
                                            • Perform data profiling using TD tooling and adhoc system query languages to validate data analysis
                                            • -
                                            • Implement, maintain and enhance Data Governance, Data Quality and related policies, in alignment with TD’s Enterprise standards and frameworks in collaboration with the Data Managers/Stewards/Owners
                                            • -
                                            • Ensure compliance with privacy and security of data, data governance and access controls
                                            • -
                                            • Prioritize and manage own workload to deliver quality results and meet timelines
                                            • -
                                            • Prepare data and summarizes information to facilitate business intelligence and knowledge management, that will be used to drive business decisions; involves extracting, transforming and loading processes/data using multiple reporting tools (e.g. Tableau, Excel, Archer, etc.)
                                            • -
                                            • Conduct analysis to provide enhanced BI to inform management leadership team
                                            • -
                                            • Create complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamart’s and external data sources
                                            • -
                                            • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                            • -
                                            • Develop meaningful and insightful commentary/insights on new and existing reporting packages
                                            • -
                                            • Identify business drivers, definitions and metrics to interpret findings, action and provide significant direction
                                            • -
                                            • Create and/or deliver presentations communications to management or broader audience / at various levels (including Executive)
                                            • -
                                            • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders where required
                                            • -
                                            • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure an in alignment with risk appetite
                                            • +
                                            • Thrive on challenges and work best in a fast-paced environment where each day is different
                                            • +
                                            • Work well in a project team environment and have strong collaboration and interpersonal skills
                                            • +
                                            • Have a permanent “figure it out” mindset
                                            -

                                            -

                                            Requirements

                                            +


                                            Video: Let’s do this!

                                            What you will do:

                                              -
                                            • Advanced knowledge of the technical environment/ tools) for own area
                                            • -
                                            • Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
                                            • -
                                            • Familiarity with modern database and information system technologies
                                            • -
                                            • Familiarity with the integration of data from multiple data sources (Access, SQL, Excel, etc.)
                                            • -
                                            • Expert in MS Office (Excel & Access fully leveraging Pivot Tables, Charts and advanced functions)
                                            • -
                                            • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
                                            • -
                                            • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                                            • -
                                            • Work autonomously and accountable for acting as a lead within a specialized BI & Reporting function and may provide work direction to others
                                            • -
                                            • Support others within the Technology Regulatory, Audit and Risk Oversight team in the daily use of data systems and ensure adherence to TS Governance Policies and Standards
                                            • -
                                            • Identifying improvement opportunities BI/Reporting of operational performance / aggregate risk of issues at the operational and organizational level
                                            • -
                                            • Knowledge of IT policies, standards, and technology risk disciplines and practices
                                            • -
                                            • Ability to influence quality management and reporting tooling requirements
                                            • -
                                            • An analytical mindset with problem-solving skills
                                            • -
                                            • Excellent communication and collaboration skills, exercising excellence in client engagement with professionalism and ability to interact with all levels across the organization
                                            • -
                                            • Works well under pressure with minimal supervision and in a dynamic environment with shifting priorities
                                            • -
                                            • Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions for the ERO operations.
                                            • -
                                            • Provides thought leadership and/or industry knowledge for own area of expertise
                                            • -
                                            • Participate in / lead knowledge transfer within the team and other technology areas
                                            • +
                                            • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                            • +
                                            • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                            • +
                                            • Review data quality and definitions, and perform data cleansing and data management tasks.
                                            • +
                                            • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                            • +
                                            • Architect the data platform for scalability, repeatability and performance.
                                            • +
                                            • Develop standards for data processes and automate routine tasks.
                                            • +
                                            • Run queries for descriptive analytics and provide formatted result sets.
                                            • +
                                            • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                            • +
                                            • Support application testing and production implementation as required.
                                            • +
                                            • Bridge the gap between technical platform needs and business issues.
                                            • +
                                            • Enable overall solution and full-scope architecture design and build.
                                            • +
                                            • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                            -

                                            -

                                            Additional Information

                                            -

                                            Specific Educational Requirements / Accreditations /Skills / Experience:

                                            +


                                            What you bring to the role:

                                              -
                                            • BSc/BA in computer science or relevant technical certificate(s) / field / equivalent experience
                                            • -
                                            • IT governance and audit experience in lifecycle methodology, operations and frameworks (e.g. COBIT 5)
                                            • -
                                            • Quality Assurance / Process Improvement experience would be an asset
                                            • +
                                            • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                            • +
                                            • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                            • +
                                            • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                            -

                                            Other Qualifications/Skills/Experience:

                                            +


                                            Keys to your success:

                                              -
                                            • 5-7 years’ experience as IT Data Manager/Analyst in the financial services industry
                                            • -
                                            • Able to manage and influence effectively within a highly matrixed environment
                                            • -
                                            • TD Organizational awareness & the ability to balance the viewpoints of various TS segments would be an asset
                                            • +
                                            • Ability to communicate complex technical concepts succinctly to non-technical colleagues and clients.
                                            • +
                                            • Ability to manage 1-2 engagements as the engagement lead/manager. This includes:

                                              +
                                                +
                                              • Creating the detailed work plan
                                              • +
                                              • Creating and validating the budget - hours and ERP calculation
                                              • +
                                              • Negotiate constrains with other teams (internal KPMG and client teams)
                                              • +
                                              • Manage the RAID process
                                              • +
                                              • Manage scope, including the implementation of a change request process
                                              • +
                                              • Manage teams of 1-5 individuals
                                              +
                                            • +
                                            +

                                              -

                                              Hours

                                              -

                                              37.5

                                              -

                                              -

                                              Inclusiveness

                                              -

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              ",,https://jobs.td.com/en-CA/jobs/10878823/senior-it-data-specialist-mississauga-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-04-13T17:57:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/32403669-senior-it-data-specialist-at-td-bank-group,,expired,2020-03-27T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bcf42354-f2ed-401d-885f-40f9c154d266,32403675,TD Bank Group,Data Management Analyst (Analyst III),on_site,"Toronto, ON, Canada",2020-03-27T18:54:04.855Z,"

                                              Company Overview

                                              -

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              -

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              -

                                              -

                                              Department Overview

                                              -

                                              The office of the chief data officer (OCDO) is accountable to the data and information policies that drive business segments and enterprise functions to consistently understand, manage and govern their data appropriately. OCDO provides unified policy, standards, guidance and enablement approaches for businesses and technology to execute on the data management and governance mandate.

                                              -

                                              Within OCDO, the data governance team is responsible for change, training and communication strategy and liaises between the business segments and EDM team within OCDO. The Strategy and metrics team is responsible to consolidate policy and standards from various OCDO programs and evolve them into data and information policy and strategy. The EDM team drives thought leadership in data management practice and is accountable to develop and deliver policies, standards and guidance on metadata, DQ, Data life cycle and master/reference data management, as capabilities in enabling businesses to appropriately manage, govern, understand, trust and consume data. This Analyst role is within the EDM team of the OCDO.

                                              +

                                              Our Values, The KPMG Way

                                              -

                                              Job Description

                                              -

                                              The Analyst, Data management, supports OCDO’s management team in evolving the data management policies, standards and processes for Metadata and Data quality practices. This person supports in the development of guidance and standards to provide a consistent way for business lines to manage and govern critical data as it moves through the organization and gain a greater understanding and trust in the data. This person interacts and collaborates successfully with OCDO team members, business segments and other corporate and technology functions in socializing standards and guidance in managing data and adhering to standards set forth. The Analyst is also responsible to collect and report on the program level metrics and help carry out an effective review process with data stakeholders from business segments to drive adoption of the capabilities

                                              +

                                              We lead by example | We work together | We respect the individual
                                              We seek the facts and provide insight | We are open and honest in our communication
                                              We are committed to our communities | Above all, we act with integrity

                                              +

                                              KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                              +

                                              ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:03:00.000Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/29173615-data-engineer-manager-at-kpmg,,expired,2020-02-03T16:03:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +56dfde42-eeb7-4759-ae43-a74ed6916bad,29173616,KPMG,"Data Engineer, Senior Manager",on_site,"Toronto, ON, Canada",2020-02-03T16:04:28.040Z,"

                                              Job Description

                                              -

                                              Requirements

                                              +

                                              Why KPMG Lighthouse?
                                              Innovate. Collaborate. Shine. Lighthouse — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                              KPMG Lighthouse Toronto has an exciting opportunity for a Data Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                -
                                              • Supports the management in development and maintenance of the metadata management and data quality standards, framework and metrics
                                              • -
                                              • Effectively collaborates with members of OCDO and business segments, in supporting the development and socialization of guidance and review artifacts
                                              • -
                                              • Collect and maintain program level metrics using LOB submission of adherence artifacts and leverage them to effectively challenges the business lines
                                              • -
                                              • Supports the Management with the development and maintenance of metadata management framework, training & learning content.
                                              • -
                                              • Supports Business Segments and Corporate Functions across the Enterprise to plan and implement the Enterprise Data Management mandate
                                              • -
                                              • Develops strong working relationships with Business Segments and data stakeholders to work collaboratively to promote adoption of data management mandate
                                              • -
                                              • Works collaboratively with team members and keep the status up to date on progress of annual priorities, initiatives, workstreams and their activities
                                              • -
                                              -

                                              -

                                              Additional Information

                                              -

                                              Qualifications:

                                              -
                                                -
                                              • College/University degree
                                              • -
                                              • A minimum of 2 years in related work experience, in data management or data integration or business intelligence or data related job functions
                                              • -
                                              • Understanding of Technical concepts, Research skills and problem-solving skills.
                                              • -
                                              • Ability to quickly grasp deep concepts and new areas of interest in data management
                                              • -
                                              • Working knowledge of data management concepts and activities with focus on metadata
                                              • -
                                              • Excellent written and verbal communication skills and ability to communicate effectively with senior members of the team
                                              • -
                                              • Prioritization skills & multitasking ability
                                              • -
                                              • Proficient in MS Office suite
                                              • -
                                              • Ability to adapt in a fast paced and dynamic environment. High tolerance to changes and aggressive timelines expected.
                                              • -
                                              • Working knowledge of data mapping and lineage is a plus
                                              • -
                                              • Financial services/Banking industry experience is a plus
                                              • -
                                              -

                                              -

                                              Hours

                                              -

                                              37.5

                                              -

                                              -

                                              Inclusiveness

                                              -

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              ",,https://jobs.td.com/en-CA/jobs/10858135/data-management-analyst-analyst-iii-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-03-30T14:00:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/32403675-data-management-analyst-analyst-iii-at-td-bank-group,,expired,2020-03-27T18:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -364116c1-7db6-4e2c-a00d-793bdfa375d2,32515270,Scotiabank,"Senior Full Stack (React/Node) Developer, Digital Factory",on_site,"Toronto, ON, Canada",2020-03-30T20:47:12.204Z,"

                                              Requisition ID: 77105

                                              -

                                              -

                                              At Scotiabank Digital Factory, the reach and opportunity of a global organization meets the passion and drive of a startup. Reinvention starts here—and it starts with you.

                                              -

                                              We believe that the pathway to success is paved with user feedback, so we’re constantly asking our customers how they want to bank. When we find an opportunity to make things people will love, we assemble teams of specialists to collaborate in Digital Factories in Canada, Chile, Mexico, Peru, and Colombia. We work fast, and we work smart. Join us to create meaningful experiences and build the bank of tomorrow for our customers around the world.

                                              -

                                              If you’d like to learn more about the Digital Factory workspace, our Digital Banking career opportunities, Communities of Practice, and open source projects, check out our microsite: https://digitalfactory.scotiabank.com/

                                              -

                                              -

                                              As a Senior Software Developer you will be joining the Piegon team that's rebuilding the CMS platform for our Digital Marketing team and supporting campaign managers to effectively and efficiently manage customer offerings. You'll be responsible for developing the front end of the application in React and the back-end API in Node.JS. Wre are looking for a team member who is not afraid to challenge the status quo, pivot and adapt to change and have deep pride in quality craftsmanship with a focus on user centred design.

                                              -

                                              Is this role right for you?

                                              -
                                                -
                                              • You will write well designed, testable, efficient code by using best software development practices
                                              • -
                                              • You will be gather and refine specifications and requirements based on technical needs
                                              • -
                                              • You will be directing day-to-day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits, and communicate it throughout the team.
                                              • -
                                              • You will create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to risk and compliance
                                              • -
                                              • You will create and maintain software documentation
                                              • -
                                              • You will be creating a desktop and mobile experience for Scotiabank customers
                                              • -
                                              -

                                              -

                                              Do you have the skills that will enable you to succeed in this role?

                                              -
                                                -
                                              • You have experience with REST API design
                                              • -
                                              • You have experience working with authenticated, customer focused applications
                                              • -
                                              • You have worked on productionizing NodeJS servers
                                              • -
                                              • You have knowledge in Object Oriented and Functional Design
                                              • -
                                              • You have a deep knowledge of HTML / CSS / SASS (BEM, OOCSS, SMACSS, CSS3 Animations, Semantic HTML).
                                              • -
                                              • You have experience with at least one modern JS framework, preferably React
                                              • -
                                              • You’ve used modern JS toolsets (ES6+, Webpack, Babel, Jest, Protractor)
                                              • -
                                              • You’ve built accessible and internationalized eb applications before (JAWS, Voiceover, Transifex).
                                              • -
                                              • You stay up to date with industry best practice
                                              • -
                                              -

                                              What's in it for you?

                                              -
                                                -
                                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                              • -
                                              • We provide you with the tools and technology needed to create beautiful customer experiences
                                              • -
                                              • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                              • -
                                              • Dress codes don't apply here, being comfortable does
                                              • -
                                              • Free shuttle service to and from Union station, which means more money in your pocket
                                              • -
                                              • Onsite subsidized cafeteria with a chef, so you can snack all day, every day
                                              • -
                                              • Onsite fitness center, so you can feel your best
                                              • -
                                              • This isn't your typical ""corporate"" job. We work hard and we have fun!
                                              • -
                                              • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                              • -
                                              • Career progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                              • -
                                              • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                              • +
                                              • Thrive on challenges and work best in a fast-paced environment where each day is different
                                              • +
                                              • Work well in a project team environment and have strong collaboration and interpersonal skills
                                              • +
                                              • Have a permanent “figure it out” mindset
                                              -

                                              -

                                              Location(s): Canada : Ontario : Toronto

                                              -

                                              As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                              -

                                              -

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Full-Stack-%28ReactNode%29-Developer%2C-Digital-Factory-ON/537675217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-30T17:49:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/32515270-senior-full-stack-react-node-developer-digital-factory-at-scotiabank,,expired,2020-03-30T20:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -6c64bd9e-4396-41b3-8b05-22b27eea9379,32515276,Scotiabank,"Full-stack (React and Node. JS) developer, Digital Factory",on_site,"Toronto, ON, Canada",2020-03-30T20:53:50.919Z,"

                                              Requisition ID: 83302

                                              -

                                              -

                                              At Scotiabank Digital Factory, the reach and opportunity of a global organization meets the passion and drive of a startup. Reinvention starts here—and it starts with you.

                                              -

                                              We believe that the pathway to success is paved with user feedback, so we’re constantly asking our customers how they want to bank. When we find an opportunity to make things people will love, we assemble teams of specialists to collaborate in Digital Factories in Canada, Chile, Mexico, Peru, and Colombia. We work fast, and we work smart. Join us to create meaningful experiences and build the bank of tomorrow for our customers around the world.

                                              -

                                              If you’d like to learn more about the Digital Factory workspace, our Digital Banking career opportunities, Communities of Practice, and open source projects, check out our microsite: https://digitalfactory.scotiabank.com/

                                              -

                                              -

                                              As a Software Developer you will be joining a team that's rebuilding the web platform for Scotiabank Online and supporting our brand new mobile banking application intiative as well. You'll be responsible for developing the front end of the application in React and the back-end API in Node.JS. Wre are looking for a team member who is not afraid to challenge the status quo, pivot and adapt to change and have deep pride in quality craftsmanship with a focus on user centred design.

                                              -

                                              -

                                              Is this role right for you?

                                              +


                                              Video: Let’s do this!

                                              What you will do:

                                                -
                                              • You will write well designed, testable, efficient code by using best software development practices
                                              • -
                                              • You will be gather and refine specifications and requirements based on technical needs
                                              • -
                                              • You will be directing day-to-day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits, and communicate it throughout the team.
                                              • -
                                              • You will create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to risk and compliance
                                              • -
                                              • You will create and maintain software documentation
                                              • -
                                              • You will be creating a desktop and mobile experience for Scotiabank customers
                                              • +
                                              • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                              • +
                                              • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                              • +
                                              • Review data quality and definitions, and perform data cleansing and data management tasks.
                                              • +
                                              • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                              • +
                                              • Architect the data platform for scalability, repeatability and performance.
                                              • +
                                              • Develop standards for data processes and automate routine tasks.
                                              • +
                                              • Run queries for descriptive analytics and provide formatted result sets.
                                              • +
                                              • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                              • +
                                              • Support application testing and production implementation as required.
                                              • +
                                              • Bridge the gap between technical platform needs and business issues.
                                              • +
                                              • Enable overall solution and full-scope architecture design and build.
                                              • +
                                              • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                              -

                                              -

                                              Do you have the skills that will enable you to succeed in this role?

                                              +


                                              What you bring to the role:

                                                -
                                              • You have experience with REST API design
                                              • -
                                              • You have experience working with authenticated, customer focused applications
                                              • -
                                              • You have worked on productionizing NodeJS servers
                                              • -
                                              • You have knowledge in Object Oriented and Functional Design
                                              • -
                                              • You have a deep knowledge of HTML / CSS / SASS (BEM, OOCSS, SMACSS, CSS3 Animations, Semantic HTML).
                                              • -
                                              • You have experience with at least one modern JS framework, preferably React
                                              • -
                                              • You’ve used modern JS toolsets (ES6+, Webpack, Babel, Jest, Protractor)
                                              • -
                                              • You’ve built accessible and internationalized eb applications before (JAWS, Voiceover, Transifex).
                                              • -
                                              • You stay up to date with industry best practice
                                              • +
                                              • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                              • +
                                              • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                              • +
                                              • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                              -

                                              What's in it for you?

                                              +


                                              Keys to your success:

                                                -
                                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                              • -
                                              • We provide you with the tools and technology needed to create beautiful customer experiences
                                              • -
                                              • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                              • -
                                              • Dress codes don't apply here, being comfortable does
                                              • -
                                              • Free shuttle service to and from Union station, which means more money in your pocket
                                              • -
                                              • Onsite subsidized cafeteria with a chef, so you can snack all day, every day
                                              • -
                                              • Onsite fitness center, so you can feel your best
                                              • -
                                              • This isn't your typical ""corporate"" job. We work hard and we have fun!
                                              • -
                                              • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                              • -
                                              • Career progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                              • -
                                              • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                              • +
                                              • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                              • +
                                              • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations Share knowledge learned through various forums and stay current to industry trends.

                                              -

                                              Location(s): Canada : Ontario : Toronto

                                              -

                                              As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                              +

                                              Our Values, The KPMG Way

                                              -

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-Full-stack-%28React-and-Node_-JS%29-developer%2C-Digital-Factory-ON/539025117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-30T17:55:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/32515276-full-stack-react-and-node-js-developer-digital-factory-at-scotiabank,,expired,2020-03-30T20:53:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -1638bd5e-c3e7-4aca-a0a8-cb63ba0f49b3,32891788,BenchSci,"Tech Lead, Data Pipeline",on_site,"Toronto, ON, Canada",2020-04-06T17:46:32.913Z,"

                                              BenchSci exponentially increases the speed and quality of life-saving research by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime and Google’s AI fund, Gradient Ventures, BenchSci uses machine learning to diagnose pharmaceutical R&D health from hidden patterns in procurement data. Customers receive a report on failure rates, productivity, and redundancy by department, therapeutic area, geography, and cost center. They can then address inefficiencies by deploying BenchSci’s AI-Assisted Reagent Selection, which empowers scientists to select the best reagents and design criteria for their experiments. Thereafter, post-deployment reports confirm impact and ROI.
                                              A turnkey application of AI with immediate, quantifiable impact, BenchSci now optimizes reagent procurement and experimental success in 15 of the top 20 pharmaceutical companies and over 3,600 leading academic centers globally.

                                              We are currently seeking a Tech Lead to join our Data Pipeline Team. In this role, you will oversee and execute the technical aspects of BenchSci's data products and platform. You are responsible for harnessing the power of the team to effectively deliver value to both our customers and stakeholders through sound technical decisions and design.

                                              +

                                              We lead by example | We work together | We respect the individual
                                              We seek the facts and provide insight | We are open and honest in our communication
                                              We are committed to our communities | Above all, we act with integrity

                                              +

                                              KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants’ disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the HR Shared Service Centre by email at cafmcdnhrsthotline@kpmg.ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant’s individual accessibility needs.

                                              +

                                              ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2020-03-19T16:04:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/29173616-data-engineer-senior-manager-at-kpmg,,expired,2020-02-03T16:04:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +d3fef00e-5eec-4026-8e89-43193c055b2a,29745441,BenchSci,"Engineering Manager, Machine Learning",on_site,"Toronto, ON, Canada",2020-02-12T14:05:40.640Z,"

                                              Here at BenchSci, our mission is to exponentially increase the speed and quality of life-saving research. We do so by empowering scientists with the world’s most advanced biomedical artificial intelligence so they can run more successful experiments. We’re backed by F-Prime and Google’s Gradient Ventures, and we’re growing!

                                              We are currently seeking an Engineering Manager to join our rapidly growing Machine Learning Team. As an Engineering Manager, you will be responsible for the planning of upcoming work, coordinating multiple engineering teams, and coaching their members. You will work closely with tech leads and scientists to evaluate priorities, and spot potential problems before they occur.

                                              What you’ll do:

                                                  -
                                                • Lead the technical aspects of BenchSci data pipeline platform
                                                • -
                                                • Plan, execute and deliver quality technical deliverables in a timely manner
                                                • -
                                                • Collaborate proactively and closely with other teams to ensure successful integrations
                                                • -
                                                • Give presentations to various audiences, both technical and non-technical
                                                • -
                                                • Innovate with life scientists and machine learning engineers on how to capture and model additional scientific experiments with scalability and performance in mind
                                                • -
                                                • Create a scalable and sustainable data platform for low-friction data movement between various data sources with Spark as the ubiquitous distributed processing engine
                                                • -
                                                • Coach and mentor team members to continuously improve and acquire new technical skills
                                                • +
                                                • Develop the quarterly road maps for multiple teams
                                                • +
                                                • Work closely with technical leads to understand what deliverables are high risk and develop backup approaches
                                                • +
                                                • Take a leadership role in our recruiting, hiring, and onboarding processes
                                                • +
                                                • Manage the growth and development of all engineers on your teams
                                                • +
                                                • Help improve the processes and patterns of multiple teams
                                                • +
                                                • Engage with Science, Platform, and Data Pipeline teams to facilitate the delivery of complex, high-quality projects on time

                                              Who we’re looking for:

                                                • 5+ years working as a professional developer
                                                • -
                                                • Experience with Agile methodologies such as Scrum, Kanban or XP
                                                • -
                                                • Exposed to DataOps approaches in managing data and analytics projects
                                                • -
                                                • Experience with database design and RDBMS performance tuning
                                                • -
                                                • Experience with other data paradigms such as NoDB, NoSQL, Documents, Graphs and understand the trade-offs when modeling with them
                                                • -
                                                • Experience with cloud reference architectures and implementing standard data processing patterns on the cloud
                                                • -
                                                • Expertise in Spark 2.x, Dataset/DataFrame API and performance tuning
                                                • -
                                                • Expertise in advanced SQL concepts such as windowing and interpreting query plans
                                                • -
                                                • You have strong cross-team communication and collaboration skills
                                                • +
                                                • 2+ years working as an engineering team manager
                                                • +
                                                • Experience with data engineering and machine learning tooling and patterns
                                                • +
                                                • Strong cross-team communication and collaboration skills
                                                • +
                                                • Someone who has worked on projects that have gone from proof-of-concept through maintenance stages
                                                • A team player who strives to see teammates succeed together

                                              Bonus points for:

                                                • Background in Life Science
                                                • -
                                                • Experience in Python, Pandas
                                                • -
                                                • Experience with Airflow or other workflow management systems in a distributed setup
                                                • -
                                                • Experience with Kubernetes in production
                                                • -
                                                • Experience with microservice architecture patterns
                                                • +
                                                • Having worked at companies during rapid growth stages
                                                • +
                                                • Expertise in Python

                                              What’s in it for you:

                                                  @@ -1786,1009 +2699,1045 @@ bcf42354-f2ed-401d-885f-40f9c154d266,32403675,TD Bank Group,Data Management Anal
                                                • Casual dress code in a creative office environment (we have our own botanist!)
                                                • Office located in the heart of downtown Toronto (College/Bathurst)
                                              -



                                              About BenchSci With a 50% failure rate, inappropriate antibodies waste millions of research dollars and delay novel therapies by months. BenchSci’s AI solves this problem by continuously reading biomedical papers like a PhD biologist to understand which antibodies have been successfully used in which experiments. Unlike traditional antibody search tools, BenchSci uses comprehensive data, proprietary machine learning models, sophisticated bioinformatics and ontologies, proprietary image recognition technology, and a unique interface to increase confidence in antibody selection. This reduces the cost of research and increases its impact for over 31,000 scientists at more than 3,600 academic institutions and 15 of the top 20 pharmaceutical companies that trust BenchSci to guide their experiment design.

                                              +

                                              About BenchSci With a 50% failure rate, inappropriate antibodies waste millions of research dollars and delay novel therapies by months. BenchSci’s AI solves this problem by continuously reading biomedical papers like a PhD biologist to understand which antibodies have been successfully used in which experiments. Unlike traditional antibody search tools, BenchSci uses comprehensive data, proprietary machine learning models, sophisticated bioinformatics and ontologies, proprietary image recognition technology, and a unique interface to increase confidence in antibody selection. This reduces the cost of research and increases its impact for over 31,000 scientists at more than 3,600 academic institutions and 15 of the top 20 pharmaceutical companies that trust BenchSci to guide their experiment design.

                                              +


                                              Here at BenchSci, these are our core values:

                                              Focused: We focus on what will drive the greatest impact at all times.

                                              Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.

                                              Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.

                                              Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.

                                              -

                                              Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.APPLY FOR THIS JOB

                                              ",,https://jobs.lever.co/benchsci/8ebcdcfb-2b15-44e3-974b-ef7f6cecefa7?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,,,,2020-05-04T20:57:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/32891788-tech-lead-data-pipeline-at-benchsci,,expired,2020-04-06T17:46:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Team Lead,Bachelors Degree,Re-Posting an Expired Job, -03d70b5e-18bb-487a-bd5d-3ab264fa735b,32891856,Sun Life Financial,Business Data Analyst,on_site,"Toronto, ON, Canada",2020-04-06T20:08:59.468Z,"

                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                              -

                                              -

                                              Job Description:

                                              -

                                              -

                                              Role Summary:

                                              -

                                              The Digital Health Solutions (DHS) Data Analytics team plays a critical role in the execution of the DHS strategy and works very closely with the DHS Management team.

                                              -

                                              -

                                              The Data Analytics group is responsible for:

                                              +

                                              Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                              ",,https://jobs.lever.co/benchsci/717bffec-fe21-4ba5-ba7e-aa1bbd0da763,aimasters@vectorinstitute.ai,,,,2020-03-28T14:05:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/29745441-engineering-manager-machine-learning-at-benchsci,,expired,2020-02-12T14:05:00.000Z,admin,Scaling (20-499),,Health,Manager,Bachelors Degree,New Posting, +61fdf0f6-755d-45de-b47b-faa0449d178f,30136410,NVIDIA,Deep Learning Research Scientist Intern (under Sanja Fidler),on_site,"Toronto, ON, Canada",2020-02-19T21:50:49.752Z,"

                                              NVIDIA is searching for a world-class researcher to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

                                              +

                                              What you’ll do:

                                                -
                                              • Being analytics translators to identify high-impact analytics use cases
                                              • -
                                              • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems
                                              • -
                                              • Defining business requirements for data gathering as new products and features are developed within DHS
                                              • -
                                              • Building Dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                              • -
                                              • Supporting various teams within DHS to leverage best practices associated with data management and develop processes that support data driven decision making
                                              • +
                                              • Gain hands on experience with designing and implementing various machine learning techniques
                                              • +
                                              • Partner and collaborate with other forward-thinking team members and external researchers.
                                              • +
                                              • Have the opportunity to participate and speak at conferences and events
                                              • +
                                              • Publish original research
                                              • +
                                              • Work with intelligent machines powered by AI computers that can learn, reason and interact with people in multiple industries.
                                              • +
                                              • Today, a self-driving car powered by Artificial Intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time to be part of this team!
                                              • +
                                              +

                                              What we’re looking for:

                                              +
                                                +
                                              • Currently pursuing a B.Sc, Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field.
                                              • +
                                              • Good communications skills.
                                              • +
                                              • Bachelor’s requirements:
                                              • +
                                              • Familiarity with theory and practice of machine learning, common machine learning frameworks
                                              • +
                                              • Track record of academic excellence
                                              • +
                                              • Master’s and PhD requirements:
                                              • +
                                              • Excellent knowledge of theory and practice of machine learning.
                                              • +
                                              • Knowledge of common machine learning frameworks
                                              • +
                                              • Track record of research excellence
                                              • +
                                              • Strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
                                              +

                                              Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and Nvidia is increasingly known as “the AI computing company.”

                                              ",machow@nvidia.com,,aimasters@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2020-04-04T21:51:00.000Z,True,23,0,311,https://talenthub.vectorinstitute.ai/jobs/30136410-deep-learning-research-scientist-intern-under-sanja-fidler-at-nvidia,,expired,2020-03-09T17:30:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, +e54d66e7-0d23-4f21-b013-efffafa7aef8,30488920,Thomson Reuters,Data Scientist Intern - Summer 2020,on_site,"Kitchener, ON, Canada",2020-02-26T19:48:58.838Z,"

                                              Job Description

                                              -

                                              The Business Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, documentation, delivery, and implementation of various business reports.

                                              +

                                              If you like data and want to apply your skills in data science to real problems with real customers, then we want you.

                                              -

                                              What will you do?

                                              +

                                              At Thomson Reuters Labs:

                                                -
                                              • Create and maintain Tableau dashboard and reports that can be leveraged to find insights
                                              • -
                                              • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings
                                              • -
                                              • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                              • -
                                              • Develop analysis and reporting tools to support requests for analytical services
                                              • -
                                              • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes
                                              • -
                                              • Efficient in developing and presenting reporting solutions to key stakeholders and partners
                                              • -
                                              • Understands and incorporates technology best practices with a primary focus on MS Access, MS Excel, Tableau and VBA
                                              • -
                                              • Assemble large, complex data sets that meet functional / non-functional business requirements
                                              • -
                                              • Work with business analytics/IT team to shape data architecture, business rules, and analytical toolsets
                                              • -
                                              • Use seasoned and practiced testing skills to develop thorough test methodologies that vet data theories, models and findings
                                              • +
                                              • Build new solutions from the ground up, work like a startup, utilizing the resources of a large enterprise.
                                              • +
                                              • Take on two to three projects during the term, with the goal of getting new products into market, building new data sets, and de-risking new customer opportunities in terms of technical viability, data viability, and customer demand.
                                              • +
                                              • Some of our applied areas of work include Natural Language Processing, Machine Learning, Deep Learning, and Data Visualization across domain areas of Legal, Tax & Accounting, Regulation, and News.
                                              • +
                                              • Learn from our global team of talented research/data scientists across our sister-lab locations: Boston, London, Zug.
                                              • +
                                              • Continually research and learn how to apply state-of-the-art techniques to keep your skills on the cutting edge of what is possible.
                                              • +
                                              • Evaluate career opportunities with Thomson Reuters Technology Centre that’s rapidly hiring en route to over 1,500 staff in Canada as part of a $100M expansion.
                                              • +
                                              • Experience working out of our Waterloo/Toronto location:
                                                  +
                                                • In Waterloo, work at Communitech, one of the most amazing workspaces in Waterloo, home to hundreds of startups and dozens of innovation labs from companies like TD, LCBO, Interac, Manulife, and Deloitte. Over 100,000 square feet of open collaborative workspace, no cubes.
                                                • +
                                                • In Toronto, work in the heart of the financial district and immerse yourself in North America’s fastest growing tech market.
                                                • +
                                                +

                                              -

                                              What will you need to succeed?

                                              +

                                              +

                                              Key Responsibilities

                                              +

                                              +

                                              We’re looking for a passionate Data Scientist with deep technical skills and entrepreneurial spirit to join our Waterloo/Toronto Lab. You are driven and resourceful, capable of building data-driven insights that address complex current and future business problems. In this role, you will demonstrate the art of the possible and have significant and direct impact on our company's products.

                                              +

                                              +

                                              Qualifications

                                                -
                                              • Bachelor's degree in Science or Engineering or Technology or Mathematics
                                              • -
                                              • 2-3 years of relevant work experience in a data role
                                              • -
                                              • 2 years experience with Tableau with demonstrated experience at creating interactive Tableau off complex data model
                                              • -
                                              • 1 year experience with Python and data libraries such as NumPy, Pandas, SciPy, and Scikit-Learn
                                              • -
                                              • Strong problem solving and analytical skills
                                              • -
                                              • Demonstrated ability to produce meaningful results from data
                                              • -
                                              • Proven experience consolidating and analyzing data sources
                                              • -
                                              • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                              • -
                                              • Proven ability to work collaboratively within a cross functional team environment
                                              • -
                                              • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                              • -
                                              • Attention to detail and in-depth planning, organizational and time management skills
                                              • -
                                              • Comfortable learning new applications quickly with minimal direction
                                              • -
                                              • Experience working with relational databases and creating data models with efficient design
                                              • +
                                              • Student in Computer Science or related fields, we have a special interest in Master/PhD students.
                                              • +
                                              • Experience in one or more of:
                                                  +
                                                • Information Retrieval
                                                • +
                                                • Natural Language Processing
                                                • +
                                                • Machine Learning
                                                • +
                                                +
                                              • +
                                              • Development skills to rapidly deliver minimum viable products
                                              • +
                                              • Strong experience with programming languages like Python, Java, or Scala
                                              • +
                                              • Strong experience with data systems like DBMS, NoSQL, Elastic Search or graph databases
                                              • +
                                              • Bonus:
                                                  +
                                                • Deep Learning
                                                • +
                                                • Big data systems
                                                • +
                                                • Knowledge Graphs
                                                • +
                                                +

                                              -

                                              What will be nice to have?

                                              +

                                              At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                              +

                                              +

                                              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                              +

                                              +

                                              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                              +


                                              Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                              To learn more about what we offer, please visit thomsonreuters.com/careers.

                                              More information about Thomson Reuters can be found on thomsonreuters.com.

                                              +



                                              Locations
                                              Kitchener-Ontario-Canada

                                              ",,https://jobs.thomsonreuters.com/ShowJob/Id/411946/Data-Scientist-Intern-Summer-2020/,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-03-03T15:32:00.000Z,False,0,7,16,https://talenthub.vectorinstitute.ai/jobs/30488920-data-scientist-intern-summer-2020-at-thomson-reuters,,expired,2020-02-26T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +824096c1-11d7-44bc-a1fe-27d37c9fe133,30489117,Thomson Reuters,Software Engineer for Data Science Intern - Summer 2020,on_site,"Waterloo Region, ON, Canada",2020-02-26T19:52:46.418Z,"

                                              Job Description

                                              +

                                              +

                                              Software Engineer for Data Science (Thomson Reuters Labs – Waterloo, Canada)

                                              +

                                              +

                                              Data science is one of the hottest jobs on the planet. If you’re a developer or engineer looking to break into the field, we’ve got the job for you.

                                              +

                                              +

                                              At Thomson Reuters Labs:

                                              +

                                                -
                                              • Technical mindset with a graduate degree in computer science or engineering
                                              • -
                                              • Experience with machine learning applications
                                              • -
                                              • Experience in developing and maintaining large data model
                                              • +
                                              • Build new solutions from the ground up, work like a startup, utilizing the resources of a large enterprise.
                                              • +
                                              • Take on two to three projects during the term, with the goal of getting new products into market, building new data sets, and de-risking new customer opportunities in terms of technical viability, data viability, and customer demand.
                                              • +
                                              • Some of our applied areas of work include Natural Language Processing, Machine Learning, Deep Learning, and Data Visualization across domain areas of Legal, Tax & Accounting, Regulation, and News.
                                              • +
                                              • Learn from our global team of talented research/data scientists across our sister-lab locations: Boston, London, Zug.
                                              • +
                                              • Work at Communitech, one of the most amazing workspaces in Waterloo, home to hundreds of startups and dozens of innovation labs from companies like TD, LCBO, Interac, Manulife, and Deloitte. Over 100,000 square feet of open collaborative workspace, no cubes.
                                              • +
                                              • Evaluate career opportunities with a technology team that’s hiring rapidly en route to over 1,500 staff in Canada as part of a $100M expansion.

                                              -

                                              Unique Requirements:

                                              -
                                              • Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5 year history checks)

                                              -

                                              What's in it for you?

                                              +

                                              Key Responsibilities

                                              +

                                              +

                                              We’re looking for a passionate Software Engineer with an entrepreneurial spirit and an interest in data science to join our Lab in Waterloo. You are driven and resourceful, capable of building data-driven insights that address complex current and future business problems. In this role, you will help us in creating applications to support our data science initiatives. You will also work with our data visualization team to create an exceptional user experience, helping users understand and trust the output of AI algorithms.

                                              +

                                              +

                                              Qualifications

                                                -
                                              • Competitive salary, vacation and bonus structure influenced by market range data
                                              • -
                                              • A friendly, collaborative and inclusive culture
                                              • -
                                              • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                              • +
                                              • Development skills to rapidly deliver minimum viable products
                                              • +
                                              • Well-disciplined in software engineering and software architecture
                                              • +
                                              • Focus on writing clean, testable code
                                              • +
                                              • Strong experience with programming languages like HTML, JavaScript, Python, Java, or Scala
                                              • +
                                              • Strong experience with data systems like DBMS, NoSQL, Elastic Searchor graph databases
                                              • +
                                              • Strong experience in full-stack development and web technology
                                              • +
                                              • Bonus:
                                                  +
                                                • Work experience in Docker, AWS, Azure, or Google cloud
                                                • +
                                                • Work experience in Machine Learning libraries
                                                • +
                                                • Interest in Information Retrieval research
                                                • +
                                                +

                                              -

                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                              -

                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                              +

                                              You might be familiar with Reuters News, which is one of the 5 biggest media companies in the world, but you might not know that Thomson Reuters is also one of the leading sources of information for 98% of North American legal firms and the vast majority of the fortune 100.

                                              -

                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                              +

                                              We have data. Lots and lots of data. Over 60,000 TBs worth of data. That’s about 20,000 times more data than exists in Wikipedia.

                                              -

                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                              +

                                              Come play with us.

                                              -

                                              Salary Range:

                                              -

                                              49,400/49 400 - 80,800/80 800

                                              -

                                              Job Category:

                                              -

                                              Advanced Analytics

                                              +

                                              At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                              -

                                              Posting End Date:

                                              -

                                              09/04/2020

                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00029682,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-04-13T17:40:00.000Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/32891856-business-data-analyst-at-sun-life-financial,,expired,2020-04-06T20:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -68faf914-c268-43de-8171-8eb5ebf3de4f,94998906,Manulife,Lead Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-11-18T21:39:16.634Z,"
                                              -
                                              -
                                              -

                                              Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                              -

                                              -

                                              Job Description

                                              -

                                              -

                                              Manulife Financial Corporation, a leading international financial services group offering insurance and wealth management solutions in the US, Canada, Europe, and Asia

                                              -

                                              -

                                              We are on a transformational journey. We want to remove complexity from the financial services industry, to make people’s lives better by helping to make their decisions easier. Being part of this transformation is hugely exciting and offers talented, ambitious people an amazing opportunity to build a career. If that sounds like you, then we want to hear from you.

                                              -

                                              -

                                              We are looking for a Lead Data Science Engineer to join our Advanced Customer Analytics team. Your job will be to execute against our strategy and drive initiatives that improve client experience and outcomes. Your primary responsibility will be researching and developing a global customer analytics record that will be used to insights and develops targeted, digital interventions.

                                              -

                                              -

                                              Who We Are

                                              -

                                              Manulife’s Advanced Customer Analytics team works across our global insurance and wealth management businesses to accelerate the use of Advanced Analytics & AI in understanding the voice of the customer – both what they say and how they interact with us. With an eye towards creating personalized products and digital service experiences we will play a key role in the organizations commitment to be a digital, customer leader.

                                              -

                                              What You Will Do

                                              You will be at the center of where Advanced Analytics meets customer experience. As part of a team dedicated to Advanced Customer Analytics, you will help enable predictive servicing solutions, use Natural Language Processing techniques to understand the voice of the customer, experiment with journey analytics to resolve pain points in our online experiences. You will lead the research and development of a global customer analytics record - the foundation for all other work.

                                              -


                                              The Role Will Be Directly Responsible For

                                              +

                                              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                              +

                                              +

                                              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                              +


                                              Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                              To learn more about what we offer, please visit thomsonreuters.com/careers.

                                              More information about Thomson Reuters can be found on thomsonreuters.com.

                                              ",,https://jobs.thomsonreuters.com/ShowJob/Id/411943/Software-Engineer-for-Data-Science-Intern-Summer-2020/,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-03-30T14:01:00.000Z,False,0,30,69,https://talenthub.vectorinstitute.ai/jobs/30489117-software-engineer-for-data-science-intern-summer-2020-at-thomson-reuters,,expired,2020-02-26T19:52:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +a5546434-9357-49be-a457-74251dddd1fb,31257028,FreshBooks,Senior Data Modeller,on_site,"Toronto, ON, Canada",2020-03-09T14:05:02.315Z,"

                                              FreshBooks has an ambitious vision. We launched in 2003 but we’re just getting started and there’s a lot left to do. We're a high-performing team working towards a common goal: building an elite online accounting application to help small businesses better handle their finances. Known for extraordinary product and customer service experiences and based in Toronto, Canada, FreshBooks serves paying customers in over 120 countries.

                                              +

                                              The Opportunity – Senior Data Modeller

                                              +

                                              FreshBooks is seeking a Senior Data Modeller to join our team. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. If this profile sounds like you, we’d love to hear from you!

                                              +

                                              Specifically in this position you will:

                                                -
                                              • Leading the creation of a global customer analytics record encompassing all elements of meaningful customer data, curated for Advanced Analytics & AI use cases

                                              • -
                                              • Identifying and prioritizing data for ingestion across all customer (and key B2B intermediary) experiences including sales, marketing, operations, web, mobile, call centers, and more.

                                              • -
                                              • Coordinating with global advanced analytics teams, business stakeholders, and technology teams to facilitate last mile delivery of reusable capabilities that can be easily deployed into new markets

                                              • -
                                              • Developing creative ways to source customer data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies

                                              • -
                                              • Provide thought leadership and drive innovative solutions that influence how data insights are delivered to the client throughout Manulife

                                              • +
                                              • Process unstructured data into a form suitable for analysis
                                              • +
                                              • Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
                                              • +
                                              • Provide ongoing day-to-day support to data analysts and scientists in a growing analytic team
                                              • +
                                              • Guide the company to take a more active role in data collection and reporting
                                              • +
                                              • Establish best practices and checks to improve and monitor data quality
                                              -

                                              -

                                              Typical Qualifications

                                              -

                                              Bachelor’s Degree with 8+ year’s experience, or Master’s with any of the following fields: Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, or other related quantitative fields.

                                              -

                                              -

                                              Professional Experience may include

                                              +

                                              +We think you'll be an amazing fit for this position if your application can demonstrate: +

                                                -
                                              • Advanced skills in modern data architecture, data science engineering, data modeling, data quality and manipulation of structured and unstructured data sources using state-of-the-art cloud computing technologies (Azure)

                                              • -
                                              • Expertise delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment

                                              • -
                                              • Familiarity with Big Data processing and building Data APIs. Experience with automated data quality frameworks is a plus.

                                              • -
                                              • Entrepreneurial spirit and commitment to creating rigorous, high-quality insights from data, at scale.

                                              • -
                                              • Excellent communication skills and ability to engage the enterprise across multiple specializations with analytically backed compelling stories

                                              • -
                                              • Proven project management and planning skills

                                              • -
                                              • Prior experience with insurance or financial services is not required

                                              • +
                                              • Strong understanding of ETL and data warehouse concepts, processes and best practices
                                              • +
                                              • Experience processing large amounts of structured and unstructured data.
                                              • +
                                              • Strong communication and teamwork skills. This means working and effectively communicating with stakeholders of all levels of data competency.
                                              • +
                                              • Programming experience, ideally in Python, in cleaning and scrubbing noisy datasets.
                                              • +
                                              • Experience with BI Tools such as Periscope, Looker or Tableau
                                              • +
                                              • Experience writing data transformation workflows in Python (using Apache Airflow, Luigi, etc) would be a bonus
                                              • +
                                              • Experience working with cloud data warehousing technologies such as AWS Redshift and Google BigQuery
                                              -

                                              -

                                              -

                                              Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                              -

                                              -

                                              About John Hancock and Manulife

                                              -

                                              -

                                              John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                              -

                                              -

                                              One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                              -

                                              -

                                              Manulife is an Equal Opportunity Employer

                                              -

                                              -

                                              At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                              -

                                              -

                                              It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                              -
                                              -
                                              ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Lead-Machine-Learning-Engineer_JobReq0442126,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-11-29T17:19:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/94998906-lead-machine-learning-engineer-at-manulife,,expired,2021-11-18T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -6620117a-500a-4b11-955f-51e4b2b133fd,95412371,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-11-20T21:39:05.901Z,"
                                              -
                                              -
                                              -

                                              Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                              -

                                              -

                                              Job Description

                                              -

                                              -

                                              Job Summary:

                                              -

                                              -

                                              As a Senior Data Scientist, you will play a key role in leading transformational projects in our Group Benefits business. Your broad knowledge of predictive analytics techniques will impact the lives of millions of Canadians, support Canadian businesses with the retention of employees, while managing costs, and enable Manulife employees with cutting edge solutions that deliver exceptional customer experiences.

                                              -

                                              -

                                              As a senior member of the Group Benefits data science team, you will collaborate with business leaders in Fraud, Disability Management, Operations, Product, Sales, Pricing and Underwriting to identify opportunities to apply advanced analytic algorithms and technologies (e.g. machine learning, artificial intelligence, deep learning) to deliver predictions and/or intelligent automation that will enable smarter business decisions, improved health outcomes, exceptional customer experiences and higher productivity for our Group Benefits team.

                                              -

                                              -

                                              Responsibilities:

                                              +

                                              Why Join Us

                                              +

                                              We're a motivated bunch, with our eyes laser-focused on shipping extraordinary experiences to businesses. You will be surrounded by hardworking team members who share a common vision for what an amazing software company could be, and have the opportunity to help build an elite one, right here in Toronto, Canada.

                                              +

                                              Apply Now

                                              +

                                              Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                              +

                                              FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.

                                              +

                                              FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

                                              ",,https://boards.greenhouse.io/freshbooks/jobs/2104391,aimasters@vectorinstitute.ai,https://www.freshbooks.com/careers,,,2020-04-06T14:23:00.000Z,False,0,4,7,https://talenthub.vectorinstitute.ai/jobs/31257028-senior-data-modeller-at-freshbooks,,expired,2020-03-09T14:05:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, +7f613067-b422-48a6-8b87-cefab76f538d,31257434,Wattpad,Machine Learning Engineer - Content Discovery Squad,on_site,"Toronto, ON, Canada",2020-03-09T14:14:58.632Z,"

                                              Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

                                              We are currently looking for a Machine Learning Engineer to join the Content Discovery squad. We are a team of engineers, data scientists, designers, product managers with the vision to connect millions of readers to the right story at the right time. We build recommendation engines and information retrieval systems to power everything from the “Home” page to “Search” and “Browse” experiences. If you have a passion for building discovery systems at massive scale, come join us to build the next iteration of our ML engines!

                                              +

                                              +

                                              What you'll be doing:

                                                -
                                              • Consults with internal business leaders, identifies opportunities/challenges, and brings analytics driven insights/solutions to solve business problems.

                                              • -
                                              • Helps determine advanced analytics priorities and sequencing of projects to optimize business goals. Works closely with business leaders in change management as an outcome of model delivery.

                                              • -
                                              • Leads, develops, manages, and delivers projects of diverse scope.

                                              • -
                                              • Codifies processes/techniques/tools into best practices for other data scientists. Oversees the work of more junior data scientists. Participates in code and model review of other data scientists.

                                              • -
                                              • Works with Customer Experience, Human Center Design, Operations, and IT teams to bring model outputs to life to support business processes, and end users.

                                              • -
                                              • Provides thought leadership including researching new analytics methodologies, tools, and data

                                              • -
                                              • Innovates and finds creative ways to source data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies and NLP

                                              • -
                                              • Actively involved in recruiting data science professionals and manages data science co-ops

                                              • +
                                              • Design, build, maintain, and evolve a large scale recommender system serving millions of people per day
                                              • +
                                              • Build platforms and infrastructure for data science at scale.
                                              • +
                                              • Help drive optimization, testing, and tooling to improve quality
                                              • +
                                              • Work collaboratively with other engineers, data scientists, and product managers
                                              • +
                                              • Contribute towards continuous improvement across data and engineering department
                                              -

                                              -

                                              Qualifications:

                                              +

                                              What we're looking for:

                                                -
                                              • An advanced degree in Computer Science, Mathematics, Engineering, Statistics, or other quantitative discipline

                                              • -
                                              • Minimum 5 years of commercial experience solving high impact business problems using data science

                                              • -
                                              • Experience leading initiatives across the entire advanced analytics lifecycle from business problem through to deployment

                                              • -
                                              • Practical experience with big data processing frameworks, and platforms such as Azure, Databricks, Spark, Hive, PCF

                                              • -
                                              • Excellent communication skills – able to translate complex data science concepts to technical and non-technical stakeholders. Masterful storyteller able to galvanize others to act.

                                              • -
                                              • Agile thinker with a bias for action, able to remove roadblocks fast.

                                              • -
                                              • Track record of implementing models into production with business value.

                                              • +
                                              • Experience building ML systems in production
                                              • +
                                              • Solid understanding of data engineering best practices
                                              • +
                                              • Understanding of software engineering fundamentals and principles
                                              • +
                                              • Proficiency with cloud technologies (AWS, EMR, ECR)
                                              • +
                                              • Proficiency in Python, SQL, and *nix environments
                                              • +
                                              • 3+ years of related industry experience
                                              • +
                                              • Interest in personalization and recommender systems
                                              -

                                              -

                                              -

                                              Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                              -

                                              -

                                              About John Hancock and Manulife

                                              -

                                              -

                                              John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                              -

                                              -

                                              One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                              -

                                              -

                                              Manulife is an Equal Opportunity Employer

                                              -

                                              -

                                              At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                              -

                                              -

                                              It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                              -
                                              -
                                              ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-11-29T17:19:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/95412371-senior-data-scientist-at-manulife,,expired,2021-11-20T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,Re-Posting an Expired Job, -86e59dc1-b6f0-414f-b684-a8481322023a,95490091,TELUS,Data Scientist,on_site,"Ontario, Canada",2021-11-21T07:07:09.224Z,"
                                              -
                                              -

                                              Description

                                              -
                                              -

                                              -

                                              -

                                              Ready to create innovative solutions and best practices?

                                              -

                                              -


                                              Join our team

                                              -


                                              Have you ever dreamed about building an AI-driven technologically advanced platform capable of helping millions of people and changing their lives for the best? If so, your dream will come true with us

                                              -


                                              TELUS is looking for a passionate and talented Data Scientist to join a highly skilled and dynamic Advanced Analytics team. In this role, you will be a key contributor to our next generation Demand Forecasting, and Customer Behavioral & Customer Intents Prediction models.

                                              -

                                              -


                                              You will create the most advanced Machine Learning solutions to enable various stakeholders to better anticipate TELUS’ customers needs and help them meet customers’ inquiries in advance.

                                              -


                                              Customer Experience AI, Data & Analytics Spotlight:

                                              -


                                              • Our team works in a fun, innovative and challenging environment that directly influences the strategic direction and performance of the Customer Experience business
                                              • Our teams are responsible for the Demand Forecasting, Customer Intents and Behavioral Prediction, as well as Performance Analytics
                                              • We work closely with our stakeholder teams to deliver on our strategic objectives; our key stakeholders and partners include Operations, Marketing, Finance, and Technology

                                              -

                                              -

                                              Transformation and more

                                              -


                                              • We provide opportunities for you to excel and show your stuff: work on high value and high visibility projects
                                              • We have flexible work styles with the ability to work in and out of the office
                                              • You will work in a team that actively supports your personal development with progressive training and development tools

                                              -


                                              Here’s the impact you’ll make and what we’ll accomplish together

                                              -


                                              As a Data Scientist, you’re in great company, working alongside some of the brightest and creative Data Scientists, Data Engineers and Data Analysts. You will be part of the journey that brings us to a better understanding of our customers, in order to predict their needs and interaction behaviour.

                                              -


                                              With your expert knowledge and experience in Machine Learning, you will contribute to the development of state of the art ML & AI driven solutions such as demand forecasting, customer intents prediction and customer behaviour models.

                                              -


                                              Here\'s how

                                              -

                                              -

                                              +

                                              Bonus points (not required):

                                                -
                                              • Lead the development and implementation of ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                              • -
                                              • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology
                                              • -
                                              • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                              • -
                                              • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                              • -
                                              • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                              • -
                                              • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                              • -
                                              -
                                              -
                                              -
                                              -

                                              Qualifications

                                              -
                                              -

                                              -

                                              You\'re the missing piece of the puzzle

                                              -

                                              -

                                              +
                                            • Proficiency with Go, PHP, Scala
                                            • +
                                            • Understanding of Kubernetes, serverless workloads and Elasticsearch
                                            • +
                                            • Experience with Tensorflow Serving
                                            • +
                                            • Experience with one of Sagemaker, Kubeflow, or MLflow
                                            • +
                                            +

                                            What we offer:

                                              -
                                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques
                                            • -
                                            • You are sought out for your skills in Machine Learning (Supervised and Unsupervised), Classification, Clustering, Segmentation, Time Series Analysis, NLP, Demand Forecasting and Optimization, with 5 or more years of practical business experience in the above areas
                                            • -
                                            • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                            • -
                                            • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                            • -
                                            • You are comfortable with Jupyter environment and infrastructure, as well as know what GitHub, Spyder/PyCharm are
                                            • -
                                            • You possess advanced knowledge in SQL
                                            • -
                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                            • -
                                            • You are well versed in software and AI development lifecycles
                                            • -
                                            • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach
                                            • +
                                            • Competitive salary
                                            • +
                                            • Meaningful equity (stock options)
                                            • +
                                            • Career development; we believe in mentorship and supporting you to achieve your goals
                                            • +
                                            • Hackathons
                                            • +
                                            • Health benefits, fully covered on us!
                                            • +
                                            • RRSP Contributions
                                            • +
                                            • Generous vacation, parental leave top-up
                                            • +
                                            • Transit pass, choice of hardware, flexible hours
                                            • +
                                            • Corporate discount for gym membership for you and your family
                                            • +
                                            • A beautiful office in downtown Toronto, with easy access to transit
                                            • +
                                            • And a whole lot more!
                                            -


                                            Great-to-haves

                                            -

                                            +


                                            About Wattpad
                                            Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

                                            +

                                            What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

                                            +

                                            What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

                                            +

                                            How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                            +

                                            Culture and Diversity
                                            Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                            We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                            ",,https://company.wattpad.com/work-at-wattpad/detail?id=fb04c009-1de7-49dd-ba7e-95213f6c715a,aimasters@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-04-23T16:25:00.000Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/31257434-machine-learning-engineer-content-discovery-squad-at-wattpad,,expired,2020-03-09T14:14:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, +914a3532-e03a-44f8-b697-750cbbfcfb87,31257484,Wattpad,Senior Data Analyst,on_site,"Toronto, ON, Canada",2020-03-09T14:16:21.586Z,"

                                            Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

                                            We are looking for a Senior Data Analyst to join our growing Analytics Practice. The Practice’s main focus is to support all of Wattpad's business units and product squads, from building ad-hoc reporting to metrics creation to forecasting and predictive insights projects. The goal is to advocate for and facilitate data-informed decision-making throughout the organization.
                                            In this newly created Senior Data Analyst - Wattpad Studios role, you will need to wear many hats: data miner, analyst, and consultant. Data is critical to how we make content decisions at Wattpad and you will play a key role in helping Wattpad continue to scale!

                                            +

                                            +

                                            What you will be doing:

                                              -
                                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                            • -
                                            • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                            • -
                                            • Data environments experience: MS SQL, Oracle
                                            • -
                                            • G-Suite experience
                                            • -
                                            • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                            • +
                                            • Work cross-functionally across the company, helping make sense of our data and in particular its application to the Wattpad Studios business.
                                            • +
                                            • Establish the baselines for many of our metrics, and let us know the costs and benefits of our decision making.
                                            • +
                                            • Not just give recommendations from our data, but back them up with statistical tests.
                                            • +
                                            • Mine our database on independent research projects you think would be beneficial to Wattpad Studios and the content monetization businesses across Wattpad.
                                            • +
                                            • Liaise with business leads across Wattpad Studios and related content monetization teams regarding key learnings and their business applications, taking our technical insights (and problems) and condensing them into an understandable format.
                                            • +
                                            • Aid in the development of Wattpad Studios’ analytics offerings and deliverables (i.e. to industry partners).
                                            • +
                                            • As a part of the Analytics Practice you will work with other analysts to understand how analytics can best be applied at Wattpad, including best practices, recommendations on tools and technology.
                                            -
                                        -
                                        -
                                        ",,https://careers.telus.com/job/Calgary-Data-Scientist-AB/551960017/,feed-importer@jobboard.io,,,,2021-12-22T16:26:53.323Z,False,0,6,45,https://talenthub.vectorinstitute.ai/jobs/95490091-data-scientist-at-telus,,expired,2021-11-21T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, -ea2b78b1-36f5-401b-9427-04b1905eb234,95490093,TELUS,Data Engineer,on_site,"Ontario, Canada",2021-11-21T07:07:09.389Z,"
                                        -
                                        -

                                        Description

                                        -
                                        -

                                        -

                                        Join our team

                                        -



                                        The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                        -

                                        -

                                        We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                        -

                                        -

                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        -

                                        -

                                        The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                        -

                                        -

                                        Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                        -

                                        -

                                        Here’s how

                                        -

                                        +

                                        What we’re looking for:

                                          -
                                        • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                        • -
                                        • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                        • -
                                        • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                        • -
                                        • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                        • -
                                        • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                        • -
                                        • Support the data pipelines feeding into our machine learning algorithms and models
                                        • -
                                        • Assist the extracting, loading, transforming, cleaning, and validating of data
                                        • +
                                        • 2-5 years working in a data analyst, business analyst, operational analyst, or related analyst role, working in a rigorous data-driven environment, or equivalent experience
                                        • +
                                        • Experience with statistical modelling, operational modelling, forecasting, and A/B/N testing
                                        • +
                                        • Experience with experimental design, Bayesian inference and ways of refining complex priors is a plus (e.g. Experience with Markov Chain Monte Carlo methods)
                                        • +
                                        • Functional, hands-on experience with SQL and Python, in a production environment
                                        • +
                                        • Excellent communication, presentation, and interpersonal skills, as you’ll be working with different teams to help answer questions
                                        • +
                                        • University degree in Economics, Finance, Statistics, Mathematics, or a related field preferred
                                        -

                                        -

                                        -
                                        -
                                        -
                                        -

                                        Voici comment

                                        -
                                        -

                                        +

                                        What we offer:

                                          -
                                        • Concevoir des pipelines de données, fournir l’infrastructure et établir des applications et des services fiables fondés sur les données dans la plateforme Google Cloud
                                        • -
                                        • Analyser les données, créer des modèles et générer des rapports et des visualisations avec Hadoop et l’infrastructure infonuagique
                                        • -
                                        • Intégrer les grands ensembles de données issues de multiples sources aux fins de la modélisation des données
                                        • -
                                        • Cerner et exploiter les occasions d’automatisation dans les processus de développement et de production afin de réduire les tâches manuelles en amont
                                        • -
                                        • Repérer les problèmes de données qui se répercutent sur les indicateurs d’affaires clés et les communiquer aux équipes de gestion des produits
                                        • -
                                        • Entretenir les pipelines de données qui alimentent les algorithmes et les modèles d’apprentissage-machine
                                        • -
                                        • Participer à l’extraction, au chargement, à la transformation, au nettoyage et à la validation des données
                                        • +
                                        • Competitive salary
                                        • +
                                        • Meaningful equity (stock options)
                                        • +
                                        • Career development; we believe in mentorship and supporting you to achieve your goals
                                        • +
                                        • Hackathons
                                        • +
                                        • Health benefits, fully covered on us!
                                        • +
                                        • RRSP Contributions
                                        • +
                                        • Generous vacation, parental leave top-up
                                        • +
                                        • Transit pass, choice of hardware, flexible hours
                                        • +
                                        • Corporate discount for gym membership for you and your family
                                        • +
                                        • A beautiful office in downtown Toronto, with easy access to transit
                                        • +
                                        • And a whole lot more!
                                        -

                                        -

                                        -
                                        -
                                        -
                                        -

                                        Qualifications

                                        -
                                        -

                                        -

                                        You\'re the missing piece of the puzzle

                                        -

                                        +

                                        Please submit a GitHub repo or Jupyter notebook from a project you’ve completed or worked on. Or, share a link to similar work. This can be from an academic or industry project.

                                        About Wattpad
                                        Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

                                        +

                                        What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

                                        +

                                        What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

                                        +

                                        How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                        +

                                        Culture and Diversity
                                        Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                        We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                        ",,https://company.wattpad.com/work-at-wattpad/detail?id=28fa9c9a-af60-4b59-8e3a-f4a45484f450,aimasters@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-04-23T16:26:00.000Z,False,0,5,20,https://talenthub.vectorinstitute.ai/jobs/31257484-senior-data-analyst-at-wattpad,,expired,2020-03-09T14:16:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +383612d7-bd96-4f48-a25e-16650c865c58,31259462,Manulife,Data Engineer,on_site,"Waterloo, ON, Canada",2020-03-09T15:21:51.391Z,"

                                        Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                        +

                                        +

                                        Job Description

                                        +

                                        +

                                        The EDL Data Engineer in the Data Operations team is responsible for developing, implementing, and maintaining a strategic enterprise data lake capability for collecting, storing, processing enterprise & divisional data to support and enable analytics, digital transformation and operational improvements. This involves researching, recommending and choosing optimal solutions to manage and implement modern data architecture as well as maintaining and monitoring the success of these solutions. You should have a passion for how data can be brought to bear and used to drive deeper, meaningful insights that enhance the customer experience, grow our businesses, minimize risk and engage our employees globally

                                        +

                                        +

                                        The EDL Data Engineer has primary responsibility for:

                                          -
                                        • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                        • -
                                        • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
                                        • -
                                        • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                        • -
                                        • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                        • -
                                        • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                        • -
                                        • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                        • -
                                        • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
                                        • +
                                        • Implementing effective baselining & monitoring to allow for alert, trending and projection of usage capacity of the platform
                                        • +
                                        • Implementing and maintaining effective security procedures and implementations across cluster users and groups
                                        • +
                                        • Developing, maintaining, and testing data pipelines, application framework, infrastructure for data generation; works closely with information architects and other team members to ensure optimization and high quality solutions
                                        • +
                                        • Setting strategic rollout, selection and delivery of proven as well as emerging tooling to ensure that data pipelines are scalable, repeatable and secure serving multiple users within the organization.
                                        • +
                                        • Responsible for ensuring all data management processes conform to standard operating procedures and aligns with how a modern data architecture aligns to enterprise technology standards and policies; contribute and provide guidance around data quality, metadata management, data stewardship and security, and access controls.
                                        • +
                                        • Reviewing and approving designs and coding of data patterns and services - both batch, real-time streaming, and complex event handing demonstrating open technologies;
                                        • +
                                        • Ensuring timely delivery to meet project timeline by automating development and deployment tasks
                                        • +
                                        • Effectively managing operational risk and change with a continuous focus on process improvements;
                                        • +
                                        • Effectively recommending future expansions and contingency plans with an eye towards effectiveness, efficiency, optimization, automation and security.
                                        -

                                        -

                                        Nice-to-haves

                                        -

                                        +

                                        +

                                        Knowledge and Skills:

                                          -
                                        • GCP Professional Data Engineering certification
                                        • -
                                        • Google Cloud Dataflow and Google BigQuery experience
                                        • -
                                        • DevOps practices and tools experience
                                        • -
                                        • Orchestration and job scheduling platforms experience
                                        • +
                                        • Strong experience with DevOps, GitFlow, continuous integration /continuous deployment (CICD), agile & test-driven development and other approaches to accelerate the delivery of new features
                                        • +
                                        • Demonstrated 3-10 years professional experience in big data/data management including a university degree in Engineering, Computer Science, Mathematics, Physics, or equivalent program;
                                        • +
                                        • Extensive experience in data technologies and the use of data to support software development, advanced analytics and reporting.
                                        -

                                        -

                                        -
                                        -
                                        -
                                        ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2021-12-22T16:28:08.032Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/95490093-data-engineer-at-telus,,expired,2021-11-21T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -4b12f1bf-9fbd-4493-947e-b3e68f7391fa,95559191,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-11-22T07:07:07.550Z,"

                                        About the role

                                        -

                                        Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                        -

                                        Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                        -

                                        Qualifications

                                          -
                                        • 7-10 years of commercial experience in a data science role solving high impact business problems
                                        • -
                                        • You have well built technical experience that inspires individual contributors creativity and innovation.
                                        • -
                                        • You have experience with product leadership and technical decision making.
                                        • -
                                        • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                        • -
                                        • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                        • -
                                        • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                        • -
                                        • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                        • -
                                        • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                        • +

                                          The following experience is required for this role:

                                          +
                                            +
                                          • Always keeping an eye out for the big picture, end-to-end solution with a strong awareness for impacts and dependencies and the moving from that assessment to action to ratify the impacts and risks.
                                          • +
                                          • Communication strength - demonstrating excellent ability to negotiate difficult discussions and situations to persuade and influence stakeholders to adopt, integrate new processes into their workflow. Highly successful at articulating the value benefits of how a new process or framework will bring benefit to these stakeholders.
                                          • +
                                          • Focused on leveraging synergies, reuse, optimization and automation with a clear understanding of the benefits to be able to drive out meaningful and insightful metrics & KPI’s
                                          • +
                                          • Excellent at prioritizing stakeholder requests through highly critical thinking, fact/data-driven assessments, and discernment for work that will bring positive change. Then, demonstrating the ability to successfully communicate decisions back to stakeholders while maintaining a “firm but fair” mindset.Significant Linux experience including administration, security, patching, and configuration
                                          • +
                                          • Some proficiency in Linux shell scripting (Bash, csh, etc.)
                                          • +
                                          • Basic SQL, advanced preferred & some RDBMS database configuration and administration
                                          • +
                                          • Demonstrated proficiency in at least one major programming language: Java, C++, Go, Python, etc.
                                          • +
                                          • Demonstrated time working with “Big Data”/Hadoop infrastructure and tooling
                                          -

                                          What would be great if you have:

                                          +

                                          +

                                          Nice to have

                                            -
                                          • Previous experience using Spark.
                                          • -
                                          • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                          • -
                                          • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                          • +
                                          • Prior work with data analytics and reporting: BI tooling, Statistical analysis, cubes, statistical programming languages (R, Python, Julia, SAS, SPSS, etc.)
                                          • +
                                          • Prior work with cloud providers: Azure, AWS, GCP, etc.
                                          • +
                                          • Security and encryption tooling: OpenSSL, Java keytool, Symmetric and Asymmetric encryption, Algorithms (AES, Elliptic Curve, SHA, etc.)
                                          • +
                                          • Experience with security/data protection solutions, Kerberos, Active Directory, HDFS Access Control, OAuth2, OpenID, LDAP
                                          • +
                                          • Experience with network layer security design in VPN, firewall, Load balancers
                                          • +
                                          • Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong teammate.
                                          -

                                          -
                                        -
                                        -
                                        -

                                        All your information will be kept confidential according to EEO guidelines.

                                        -

                                        If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                        -

                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                        -

                                        #LI-REMOTE

                                        How we hire

                                        At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                        Learn more about our hiring process -
                                        -
                                        -
                                        -
                                        ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2021-11-22T16:46:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/95559191-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2021-11-22T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -efc1de54-8d3c-4365-9266-3b0fa6be975d,95610057,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-11-23T07:07:18.731Z,"

                                        About the role

                                        -

                                        Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                        -

                                        Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                        -

                                        Qualifications

                                          -
                                        • 7-10 years of commercial experience in a data science role solving high impact business problems
                                        • -
                                        • You have well built technical experience that inspires individual contributors creativity and innovation.
                                        • -
                                        • You have experience with product leadership and technical decision making.
                                        • -
                                        • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                        • -
                                        • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                        • -
                                        • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                        • -
                                        • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                        • -
                                        • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                        • +

                                          What about Perks?

                                          +

                                          Manulife has lots of perks including, but not limited to:

                                          +
                                            +
                                          • Competitive compensation
                                          • +
                                          • Retirement Savings Accounts including a fully funded Pension Plan and a 401(k) plan with company match.
                                          • +
                                          • Manulife Share Ownership Program with company match.
                                          • +
                                          • Customizable Benefits Package including Health, Dental and Vision.
                                          • +
                                          • Generous time off policy.
                                          • +
                                          • Financial support for ongoing training, learning, and education
                                          • +
                                          • DressSmart flexible work attire policy.
                                          • +
                                          • An abundance of career paths and opportunities to advance
                                          • +
                                          • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.
                                          -

                                          What would be great if you have:

                                          +

                                          +

                                          This is a full time permanent role that can be worked from our Waterloo or Toronto office.

                                          +

                                          +

                                          We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                          +

                                          +

                                          About Manulife

                                          +

                                          Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers' needs first and providing the right advice and solutions. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2017, we had approximately 34,000 employees, 73,000 agents, and thousands of distribution partners, serving more than 26 million customers. As of December 31, 2017, we had over $1.04 trillion (US$829.4 billion) in assets under management and administration, and in the previous 12 months we made $26.7 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          +

                                          LI-JH-JHC

                                          +

                                          +

                                          +


                                          If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                          +


                                          About Manulife

                                          +

                                          Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          +



                                          +

                                          Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                          ",,https://jobs.manulife.com/ShowJob/JobId/889004/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-03-24T23:21:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/31259462-data-engineer-at-manulife,,expired,2020-03-09T15:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +653c46ef-c2ce-4d9b-89c5-2be72fb0300d,31259880,Uber,"Research Intern, Uber ATG (2020)",on_site,"Toronto, ON, Canada",2020-03-09T18:19:26.075Z,"

                                          About the Role

                                          +

                                          Research interns at Uber ATG R&D will have the flexibility to pursue a range of different directions in research and application. Some projects might involve fundamental machine learning and AI research, pushing the frontiers of the field by developing new algorithms for learning and control. Others could include devising and training new models based on Uber's huge self-driving car data sets. These models may be seen through to production where they will impact millions. Interns will have the opportunity to work directly with a distinguished group of researchers and engineers in ATG Research group, and across other product and operations teams at Uber ATG.

                                          +

                                          An internship will last for 16 weeks or more and will span a time-frame that is suitable for the candidate. During this period, interns will meet with researchers and teams across Uber ATG and converge on initial project directions, and mentorship will be arranged.Interns will be encouraged to publish their work externally at top machine learning venues (NIPS, ICLR, ICML, CVPR, EMNLP, ACL, etc.), via blog posts, or by posting open source projects.

                                          +

                                          Eligibility Requirements

                                            -
                                          • Previous experience using Spark.
                                          • -
                                          • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                          • -
                                          • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                          • +
                                          • Actively pursuing BS, MS, or PhD in a technical field, and returning back to school after the internship is complete.
                                          • +
                                          • Coursework in or working knowledge of linear algebra, calculus, and probability.
                                          • +
                                          • Coding ability in Python or C/C++
                                          • +
                                          • Demonstrated experience with machine learning or deep learning algorithms, and demonstrated passion for the same. If you're excited about ML, show us what you've done so far!
                                          -

                                          -
                                        -
                                        -
                                        -

                                        All your information will be kept confidential according to EEO guidelines.

                                        -

                                        If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                        -

                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                        -

                                        #LI-REMOTE

                                        How we hire

                                        At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                        Learn more about our hiring process -
                                        -
                                        -
                                        -
                                        ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2021-12-25T20:32:38.060Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/95610057-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2021-11-23T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -5265a7b7-a7ac-4e37-a780-05dec21ba3d3,95804013,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2021-11-24T20:49:04.082Z,"
                                        -

                                        What\'s the opportunity?

                                        -

                                        As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                        -

                                        -

                                        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                        -
                                        -
                                        -

                                        Your responsibilities include:

                                        -
                                          -
                                        • Developing novel AI solutions that facilitate impactful products;
                                        • -
                                        • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                        • -
                                        • Working with the development team to transfer research work into production;
                                        • -
                                        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                        • -
                                        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                        • -
                                        -
                                        -
                                        -

                                        You’re our ideal candidate if you have:

                                        -
                                          -
                                        • A passion for solving open problems using data and algorithms;
                                        • -
                                        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                        • -
                                        • Ability to formulate and drive a research project independently without close supervision;
                                        • -
                                        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                        • -
                                        -
                                        -
                                        -

                                        What’s in it for you?

                                        -
                                        -
                                          -
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • -
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        About Borealis AI

                                        -
                                        -
                                        -

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        -

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        -

                                        ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-12-25T20:34:36.064Z,False,0,6,40,https://talenthub.vectorinstitute.ai/jobs/95804013-machine-learning-researcher-at-borealis-ai,,expired,2021-11-24T20:49:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -92517bfa-6013-4467-b7b7-4a1795f7451c,95864255,Sun Life Financial,Business Data Engineer,on_site,"Ontario, Canada",2021-11-25T06:34:01.924Z,"
                                        -
                                        -
                                        -

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        -

                                        -

                                        -

                                        Job Description:

                                        -

                                        At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                        -

                                        -

                                        Role Summary:

                                        -

                                        -

                                        The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                        -

                                        -

                                        Reporting to the Director of CXO Data Science, the Business Data Engineer will be a key member of Canadian Analytics CoE responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behaviour and optimizing areas of our sales cycles.

                                        -

                                        -

                                        What will you do?

                                        +

                                        Preferred Qualifications

                                        +

                                        Demonstrated success at self-driven projects: whether you coded something great from the ground up, executed a beautiful research project, organized a group of your peers to action, asked and answered an important societal question, or started a company, we're looking for people that are used to pressing toward ambitions, exciting goals.

                                        +

                                        A strong track record of open source contributions in any area, particularly machine learning. Impactful, well-cited publications in any field, particularly machine learning. Interns will work from Uber ATG's R&D locations (San Francisco, CA OR Toronto, Canada). We strongly encourage applications from candidates with diverse backgrounds and from anywhere in the world! Candidates who need a visa to work in the US are also encouraged to apply; we will investigate options on a case-by-case basis for those who are accepted.

                                        +

                                        At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                        +

                                        We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

                                        ",,https://www.uber.com/global/en/careers/list/56564/?iis=Event&iisn=Event&iisp=Vector,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-03-24T23:21:00.000Z,False,0,14,44,https://talenthub.vectorinstitute.ai/jobs/31259880-research-intern-uber-atg-2020-at-uber,,expired,2020-03-09T18:19:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, +041ddade-3991-4cc8-843f-a4284b54f09b,31520007,Scotiabank,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2020-03-11T17:28:51.020Z,"

                                        The role and the Team

                                        +

                                        +

                                        Leads and oversees Machine Learning focused Robotic Program implementations in Enterprise Productivity / Technology ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. Promotes Machine Learning and Robotics across the Bank and will be the primary point of contact with multiple stakeholders who will be at different stages of their journey with Machine Learning and robotics and requiring bespoke interactions.

                                        +

                                        +

                                        Accountabilities

                                        +

                                          -
                                        • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                        • -
                                        • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                        • -
                                        • Ensure high level of data quality and data integrity are maintained across data sources for business

                                        • -
                                        • Convert complex business and technical rules into logic for data flows and data pipelines

                                        • -
                                        • Work with our Data Science teams to implement Machine Learning pipelines

                                        • -
                                        • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                        • -
                                        • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                        • +
                                        • Responsible for Scalability and infrastructure for architecture specific to Machine Learning software/hardware including capacity management of the overall solution.
                                        • +
                                        • Work to define best practices for Machine Learning delivery including implementation of lifecycle suggestions, team organization, and production management
                                        • +
                                        • Work closely with delivery team during the development of business processes, retrieving statistics and model results analysis, as well as defining and implementing post-processing logic.
                                        • +
                                        • Build and integrate generic or custom components for existing or new ML algorithms
                                        • +
                                        • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
                                        • +
                                        • Verifying data quality, and/or ensuring it via data cleaning
                                        • +
                                        • Supervising the data acquisition process if more data is needed
                                        • +
                                        • Train models and tuning their hyperparameters
                                        • +
                                        • Analyzing the errors of the model and designing strategies to overcome them
                                        • +
                                        • Develop processing patterns for data
                                        • +
                                        • Deploying models to production
                                        • +
                                        • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                        • +
                                        • Provide technical architectural designs solutions/reviews for major business application and technology initiatives focusing on robotic process automation (RPA), robotic desktop automation (RDA) and Machine Learning;
                                        • +
                                        • Develop and document RPA configuration best practices, configure new RPA processes and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand;
                                        • +
                                        • Act as an internal consultant on all RPA/RDA infrastructure related items
                                        • +
                                        • Participate in all phases of the project development life cycle;
                                        • +
                                        • Manage, analyze and present Performance and Capacity Management functions to Director, Enterprise Architect and other IT&S Solutions Architects on all systems supported;
                                        • +
                                        • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                        • +
                                        • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                        • +
                                        • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
                                        • +
                                        • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                        -

                                        -

                                        What do you need to succeed?

                                        +

                                        +

                                        Education and Experience:

                                        +

                                          -
                                        • 3-5 years experience with engineering data products as input to various analytical models

                                        • -
                                        • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                        • -
                                        • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                        • -
                                        • Demonstrate expertise in dimensional data modelling and passion for analytics

                                        • -
                                        • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                        • -
                                        • Intermediate- to expert-level programmatic expertise working with distributed (Hadoop, AWS) platforms

                                        • -
                                        • Ability to translate complex business requirements into a set of data ingestion pseudocode, schema-on-read topologies and/or dimensional models that are necessary inputs to data engineering exercises

                                        • -
                                        • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products

                                        • -
                                        • Familiarity with programming in Python, Scala, Java or equivalent

                                        • -
                                        • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                        • -
                                        • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                        • +
                                        • Undergraduate Degree in Computer Science or technical equivalent
                                        • +
                                        • 10 + years technical work experience
                                        • +
                                        • 2+ years of related work experience in RPA, RDA and Machine Learning implementation with focus on leading the conceptual, logical and physical design of Infrastructure environments
                                        • +
                                        • Minimum 4-5 years in Corporate Systems Development environments or equivalent experience.
                                        • +
                                        • Excellent verbal and written communication skills are essential.
                                        • +
                                        • Excellent organizational skills and the ability to manage multiple complex initiatives
                                        • +
                                        • Technical designations an asset
                                        • +
                                        • Experience through all phases of the technology life cycle, including project planning, requirements definition, design, build/configuration, testing and operational transition
                                        • +
                                        • Experience working in an Agile project environment
                                        • +
                                        • Advanced analytical and problem-solving skills.
                                        • +
                                        • Experience / certified to use Workfusion
                                        • +
                                        • French and / or Spanish language skills an asset
                                        • +
                                        • Strong background in data structures and algorithms
                                        • +
                                        • Good background in machine learning concepts
                                        • +
                                        • 3-5 years of Java experience, hands-on programming skills
                                        • +
                                        • Solid understanding of design patterns and OOP
                                        • +
                                        • Knowledge on SQL, regex, HTTP, REST, JSON, XML, Python is must
                                        • +
                                        • Hands on Maven, Git, JUnit, InteliJ IDEA/Eclipse
                                        • +
                                        • Basic knowledge on NLP nomenclature is must.
                                        -

                                        -

                                        Education and Qualifications:

                                        +

                                        +

                                        +

                                        Additional skills

                                        +

                                          -
                                        • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                        • -
                                        • Graduate degree in business or quantitative science strongly preferred

                                        • -
                                        • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL, Apache Spark, AWS Glue, etc.

                                        • -
                                        • 5 years hands-on experience with relational database systems, data warehouses, dimensional models etc.

                                        • +
                                        • Hands-on experience with rule-based models
                                        • +
                                        • Knowledge of statistics and probability theory is a plus
                                        • +
                                        • Standford NLP, Apache UIMA, Tableau, TensorFlow, JavaScript, Linux
                                        -

                                        -

                                        What would be nice to have?

                                        +

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        +

                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Machine-Learning-Engineer-ON/539070717/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-13T17:32:00.000Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/31520007-machine-learning-engineer-at-scotiabank,,expired,2020-03-11T17:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +a21762b1-12b2-47f4-b7c0-66a2108629d2,31683931,Intact Financial Corporation,Senior Data Scientist,on_site,"Toronto, ON, Canada",2020-03-13T17:54:19.655Z," + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                        +

                                        At Intact, insurance is not about things. It’s about people. It’s what we believe, and it shapes everything we do. It’s why we strive to provide a second-to-none experience for our customers and create an inspiring workplace for our employees to thrive in.

                                        +

                                        As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                        +
                                        Your Job
                                        +

                                        #IntactCareers

                                        +

                                        How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                        +

                                        With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                        +

                                        Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.

                                        +

                                        Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                        +

                                        Workplace: Toronto (700 University av.)

                                        +

                                        Here are a few ways you will make a difference:

                                          -
                                        • Experience working in a large financial services organization

                                        • -
                                        • Knowledge of fundamental statistical models & techniques

                                        • -
                                        • Proven experience working in an agile pod (Scrum, Kanban, etc.)

                                        • +
                                        • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                        • +
                                        • Transform complex databases into relevant conclusions and recommendations
                                        • +
                                        • Keep pace with new approaches and trends and use them in your own solutions
                                        • +
                                        • Help maintain our data mining tools and platforms
                                        • +
                                        • Make actionable recommendations based on the findings
                                        • +
                                        • Work with other departments to promote the adoption of analytical principles within the organization
                                        • +
                                        • Validate the quality of the analytical approach and project outputs of the other team members
                                        • +
                                        • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions
                                        -

                                        -

                                        What is in it for you?

                                        +
                                        +
                                        Your Skills
                                        +

                                        We can offer you:

                                          -
                                        • Competitive salary and bonus structure influenced by market range data

                                        • -
                                        • Entitlement to flexible benefits and vacation

                                        • -
                                        • A friendly, collaborative and inclusive culture

                                        • +
                                        • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                        • +
                                        • Opportunities to have global impact with your work
                                        • +
                                        • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                        • +
                                        • A team of great colleagues to learn with and from
                                        • +
                                        • Continuous learning
                                        • +
                                        • Flexible and friendly working environment
                                        -

                                        -

                                        -

                                        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        -

                                        -

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        -

                                        -

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        -

                                        -

                                        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                        -

                                        -

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        -

                                        -

                                        Salary Range:

                                        68,400/68 400 - 111,700/111 700

                                        -

                                        Job Category:

                                        Advanced Analytics

                                        -

                                        Posting End Date:

                                        03/12/2021 -",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00050901?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-12-06T06:54:06.836Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/95864255-business-data-engineer-at-sun-life-financial,,expired,2021-11-25T06:34:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0c3952e6-d6d5-4ea2-b6d7-9963a4ee69ab,96197709,Deloitte,"Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-11-28T02:43:05.101Z,"

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        -

                                        -

                                        Learn from deep subject matter experts through mentoring and on the job coaching
                                        Partner with clients to solve their most complex problems
                                        Be empowered to lead and have impact with clients, our communities and in the office.

                                        -
                                        -
                                        -

                                        -

                                        Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                        -
                                        -
                                        -

                                        What will your typical day look like?

                                        -
                                        -

                                        As a Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                        -

                                        In this role, you will :

                                        -
                                        • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                        • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                        • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                        • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                        • +

                                          Here’s what you offer us:

                                          +
                                            +
                                          • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                          • +
                                          • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                          • +
                                          • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                            • Open-source frameworks: R, Python, GitHub
                                            +
                                          • +
                                          • Expert-level understanding of the underlying theory of machine learning
                                          • +
                                          • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                          • +
                                          • Your great teamworking skills
                                          • +
                                          • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                          • +
                                          • Your strong communication, time management and work organization skills
                                          -
                                        -
                                        -
                                        -

                                        About the team

                                        -
                                        -

                                        Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                        -

                                        Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                        -
                                        -
                                        -
                                        -

                                        Enough about us, let’s talk about you

                                        -
                                        -

                                        You are someone with:

                                        -
                                        • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                        • 1+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                        • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                        • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                        • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                        • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                        • +

                                          Here are a few reasons why others have joined our team:

                                          +
                                            +
                                          • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                          • +
                                          • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                          • +
                                          • Flexibility in how and where you work
                                          • +
                                          • A comprehensive financial rewards program that recognizes your success
                                          • +
                                          • An extensive, flexible benefits package
                                          • +
                                          • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                          • +
                                          • A casual ‘dress for your day’ culture that encourages you to be yourself
                                          • +
                                          • A $350 annual wellness account that promotes an active lifestyle
                                          -


                                          If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                          -

                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                          -
                                        -
                                        -
                                        -

                                        Why Deloitte?

                                        -

                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                        -
                                        • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                        • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                        • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                        • +
                                          +
                                        Closing Statement
                                        +

                                        We are an Equal Opportunity Employer

                                        +

                                        At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                        +

                                        Background Checks

                                        +

                                        As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                        +

                                        Internal Candidates

                                        +

                                        For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                        +

                                        About us:

                                        +

                                        As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                        +

                                        Our people are at the heart of what we promise – getting people back on track and helping them prosper in good times and be resilient in bad times. We have over 13,000 employees who live our values every day and strive to deliver legendary service to our millions of customers across Canada and the U.S. We have many brands that are a part of the Intact family. In Canada, Intact Insurance and Brokerlink distribute insurance through a wide network of brokers, while belairdirect delivers products direct-to-consumer.
                                        In the U.S., OneBeacon Insurance Group handles our specialty insurance line of business.

                                        +

                                        #li-qc

                                        +
                                        +
                                        Referral Bonus
                                        +

                                        This role is eligible for employee referral bonus. #myReferrals3000

                                        +
                                        +
                                        Eligibility to work in Canada
                                        +

                                        It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                        +
                                        +

                                        ",,https://careers.intact.ca/ca/en/job/IFCOUS10888/Senior-Data-Scientist-Toronto,aimasters@vectorinstitute.ai,https://careers.intact.ca/ca/en/,,,2020-04-27T17:54:00.000Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/31683931-senior-data-scientist-at-intact-financial-corporation,,expired,2020-03-13T17:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +e81a9be0-a1b6-43d4-bf5e-151ccd89eccf,32403643,Scotiabank,Platform Engineer (Data Integration),on_site,"Toronto, ON, Canada",2020-03-27T18:28:38.586Z,"

                                        Requisition ID: 85235

                                        +

                                        +

                                        Join the Global Community of Scotiabankers to help customers become better off.

                                        +

                                        +

                                        The Team

                                        +

                                        In partnership with the Data Office and our IT partners the Enterprise Technology Data team supports the banks data office with tooling, projects and IT operational support.

                                        +

                                        The Role

                                        +

                                        The Platform Engineer will play an active role on the team by collaboratively assisting, analyzing to architect, design and development of data platforms using tools and technologies such as DataStage, Talend for Big Data, Informatica, Talend Ingestion, Talend pipeline, Hadoop, Erwin Data Modeler, Erwin DI, Apache Spark, DevOps, Kubernetes, Containers and SQL.

                                        +

                                        Some of the key accountabilities include:

                                        +
                                          +
                                        • Responsible for the design & configuration of highly available enterprise data applications & platforms.
                                        • +
                                        • Process data from the ingestion point into the enterprise data lake (EDL) until the star schema (dimensions and fact tables) as well as data delivery to the outbound processes.
                                        • +
                                        • Rationalize the relationships expressed in the logical data model to the schema of the physical data store Lead, plan and build quality Conceptual, Logical, Physical and Semantic Data models for Operational Data Stores, Data Warehouses and Data Marts using tools like Erwin.
                                        • +
                                        • Must be well versed with deployment or automation of pipelines
                                        • +
                                        • Building technology relationships by interacting closely with the Enterprise.
                                        • +
                                        • Application development - manage release activities, conduct code review sessions, and carry out data validation exercises and User acceptance criteria compliant. Issue resolution, Performance tuning, change management and scheduling.
                                        -


                                        The next step is yours

                                        -

                                        Sound like The One Firm. For You?

                                        -

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        -

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        -

                                        -

                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                        ",,https://careers.deloitte.ca/job/Toronto-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/805181400/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-29T16:53:51.030Z,False,0,10,41,https://talenthub.vectorinstitute.ai/jobs/96197709-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/805181400/,expired,2021-11-28T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -8ff87ee5-d3f2-4253-88a7-78d49ec45deb,100083178,Loblaw Companies Ltd.,Senior Business & Customer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-20T17:55:04.886Z,"
                                        -
                                        -
                                        -

                                        Referred applicants should not apply directly to this role.

                                        -

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        -

                                        -

                                        -

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        -

                                        -

                                        Inspired by food? Committed to excellent service? So are we.
                                        At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                        We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                        Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                        -

                                        -

                                        Why is this role important?

                                        -

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                        -

                                        We are hiring a Sr. Analyst, Business & Customer Insights

                                        -

                                        Reporting to the Director, Business & Customer Insights, the Sr. Analyst will be responsible for providing objective, value-added analysis and recommendations to facilitate discussions & decisions related to high profile loyalty initiatives. The Sr. Analyst will work with various stakeholders in the business on analytics and insights, reporting and measurement, to help the business in making key decisions and driving the PC Optimum strategy and program execution

                                        -

                                        What You'll Do:

                                        +

                                        +

                                        What You Will Bring to Succeed

                                          -
                                        • Work with various business stakeholders on requests and questions into analytical problems. Requests can be strategic or tactical in nature, including but not limited to targeting, segmentation, list generation and automation, development of dashboards, reports, measurement, and data modeling
                                        • -
                                        • Responsible for the extraction, review, and preparation of complex operational and customer behavior information from a variety of databases (SQL, GCP, etc).
                                        • -
                                        • Use Cloud based Python/Scala environment to process big data, conduct analysis, and visualizing the results.
                                        • -
                                        • Generate meaningful insights to solve business problems, identify new opportunities and drive strategy.
                                        • -
                                        • Build presentations to clearly articulate insights, while simplifying complex data and processes for various levels of audiences including senior management
                                        • -
                                        • Work collaboratively with business partners in marketing, digital, loyalty strategy, technology, and divisional teams
                                        • +
                                        • Design & build semantic layer to enable data platform for all business intelligence reporting and Analytics needs.
                                        • +
                                        • Knowledge/experience with Talend for Big Data, Talend, Talend Ingestion, Talend pipeline, Hadoop, Erwin Data Modeler, Erwin DI, Apache Spark, DevOps, Kubernetes, Containers, SQL – Installation / Configuration and Troubleshooting.
                                        • +
                                        • Knowledge/experience working with DevOps Tools like Docker, Kubernetes on multiple IT platforms (Windows, Unix/Linux, Cloud Computing).
                                        • +
                                        • Reconcile multiple data sources and data models into a single, logically consistent model
                                        • +
                                        • Map data sources to data models including required transformation logic, business rules and data cleansing rules
                                        • +
                                        • Understand Technical Architecture, build logical & Physical data model, ETL designs, participate in design review forums and validate the solutions
                                        • +
                                        • Strong analytical and problem-solving skills with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner
                                        • +
                                        • Identify and resolve small to medium complex production problems. Monitor and analyze supported services to identify opportunities for improvement and recommend solutions.
                                        • +
                                        • Experience with managing and coordinating team activities for multiple initiatives
                                        • +
                                        • Strong organizational and planning skills
                                        • +
                                        • Excellent verbal and written communications skills
                                        • +
                                        • Experience with providing application support in a multi-site environment
                                        -
                                        • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value-added recommendations
                                        -

                                        What You'll Need:

                                        +

                                        +

                                        The Workplace

                                          -
                                        • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                        • -
                                        • 3-5 years related work experience in an analytical role. Experience ideally in Retail, Loyalty, CPG industry, Consumer Finance, Telecommunications, or Consulting
                                        • -
                                        • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). Advanced SQL is mandatory.
                                        • -
                                        • Experience with cloud platforms (i.e. GCP and Azure) is an asset
                                        • -
                                        • Experience with visualization tool (i.e. Tableau, PowerBI and etc) is an asset
                                        • -
                                        • Ability to synthesize large amounts of data into actionable insights
                                        • -
                                        • Strong ability to build presentations and present complex ideas in a clear, articulate way
                                        • -
                                        • Strong interpersonal skills and comfortable proactively leading discussions and collaborating with cross functional teams
                                        • -
                                        • Demonstrate strong business acumen – understanding of how data/insights translates into business value
                                        • -
                                        • Advanced skills in Microsoft Office suite (Excel, Powerpoint)
                                        • -
                                        • Strong attention to detail
                                        • -
                                        • Creativity for thinking of new ideas, with a strong curiosity and willingness to ask questions
                                        • +
                                        • We are technology partners who help the business transform how our employees around the world work
                                        • +
                                        • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                        • +
                                        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                        • +
                                        • We foster an environment of innovation and continuous learning
                                        • +
                                        • We care about our people, allowing them to design how they work to deliver amazing results
                                        • +
                                        • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                        -

                                        -

                                        COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                        -

                                        -

                                        In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                        -

                                        -

                                        -

                                        -

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        -

                                        -

                                        -

                                        -

                                        Employment Type:

                                        Full time

                                        -

                                        -

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                        -

                                        -

                                        Please Note:  
                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                        -
                                        -
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-12-23T18:00:07.367Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/100083178-senior-business-customer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196,expired,2021-12-20T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -78ac1a56-cc75-484b-8937-76fed3ff0f25,100381440,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-12-23T07:19:04.070Z,"
                                        -
                                        -
                                        -

                                        Why join us?

                                        -

                                        -

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        -

                                        -

                                        -

                                        -

                                        -

                                        OMERS Products and Technology is looking for Cloud Data Engineer passionate about all sides of data analytics and eager to build a data platform for our pension Data engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights; transforming, modelling, processing and extracting value from datasets.

                                        -


                                        As a member of this team, you will be responsible for:

                                        +

                                        +

                                        Scotiabank

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        +

                                        Is this Role not the Exact fit?

                                        +

                                        Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                        +

                                        +

                                        +

                                        +

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        +

                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Platform-Engineer-%28Data-Integration%29-ON/539264917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-26T19:52:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/32403643-platform-engineer-data-integration-at-scotiabank,,expired,2020-03-27T18:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +992a531a-4712-4bee-811d-ce10461327a8,32403650,Scotiabank,"Senior Analyst, Procurement Insights and Analytics",on_site,"Toronto, ON, Canada",2020-03-27T18:38:31.028Z,"

                                        Requisition ID: 79356

                                        +

                                        +

                                        Join the Global Community of Scotiabankers to help customers become better off.

                                        +

                                        +

                                        The Senior Analyst, Procurement Insights & Analytics provides analytical expertise, including research, cost modelling and analytical support services, to inform procurement and category management, decision-making and strategy. This role is a key member of the Procurement Strategy and Capabilities team, providing deep analysis and technical expertise to enable the leadership team to meet business targets and strategic objectives.

                                        +

                                        +

                                        Accountabilities

                                          -
                                        • Develop and maintain data pipelines
                                        • -
                                        • Design and implement ETL processes
                                        • -
                                        • Hands on experience on Data Modeling – Design conceptual, logical and physical data; experience with Kimball methodology (Data Vault methodology knowledge is a plus)
                                        • -
                                        • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
                                        • -
                                        • Knowledge to move the ETL code base from On-premise to Cloud Architecture
                                        • -
                                        • Understanding data lineage and governance for different data sources
                                        • -
                                        • Maintaining clean and consistent access to all our data sources
                                        • -
                                        • Hands on experience to deploy the code using CI/CD pipelines
                                        • -
                                        • Assemble large and complex data sets strategically to meet business requirements
                                        • -
                                        • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                        • +
                                        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                        • +
                                        • Works with procurement and business partners to assess their business needs and contribute meaningfully to the development of procurement and category management strategies by use of data analytics.
                                        • +
                                        • Populates and maintains complex databases and applies analytical tools, techniques and systems to analyze and interpret a wide range of supplier and organizational information and options to support procurement planning and decision making.
                                        • +
                                        • Develops and provides reports to support effective management of supplier performance and to track and report on benefits delivered.
                                        • +
                                        • Uses Python, VBA, etc. to automate manual and repeatable processes, contributing to the overall process efficiencies.
                                        • +
                                        • Envisions, develops, and deploys tools to streamline processes to gain efficiencies and to improve key metrics.
                                        • +
                                        • Undertakes research, cost modelling and analysis of supply markets to identify opportunities and inform sourcing strategies.
                                        • +
                                        • Communicates results of analysis and models through documentations to internal/external audiences, and effectively manages the interface with relevant stakeholders including Internal Audit and Regulators (as required).
                                        • +
                                        • Applies risk management and compliance checks when researching and analyzing supply markets and contract performance to identify potential risks and trigger risk mitigation and management responses.
                                        • +
                                        • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                        • +
                                        • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                        -

                                        -

                                        To succeed in this role, you have:

                                        +

                                        +

                                        Qualifications

                                          -
                                        • Experience with data platform cloud technologies for creating data pipeline (preference Azure Data Factory, Azure Data Lake, Azure SQL Server, PowerBI)
                                        • -
                                        • Experience doing semantic data modeling and publish datasets accordingly
                                        • -
                                        • Understanding security rules and roles in projects, workspaces in PowerBI
                                        • -
                                        • Possess in-depth understanding of SQL, database management systems and ETL (Extract, transform, load) frameworks
                                        • -
                                        • Experience with SSIS, Informatica ETL, data modelling, data warehousing, and business intelligence architecture
                                        • -
                                        • Knowledge of programming, scripting (e.g. SQL, PowerShell, Python, C#, Power Query, DAX
                                        • -
                                        • Working experience with Visual Studio, PowerShell Scripting, and ARM templates
                                        • -
                                        • Proven track record of learning new technologies quickly
                                        • -
                                        • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                        • -
                                        • Experience building data visualizations, preferably Power BI
                                        • -
                                        • 10 years of experience working with data
                                        • +
                                        • 3-5 years of experience in data analytics methodology and techniques
                                        • +
                                        • Advanced technical skills in various data analytics tools, such as Python, SQL Server, VBA, Power Query
                                        • +
                                        • Advanced technical skills in visualization tools, such as Tableau, Power BI
                                        • +
                                        • Understand the wider objectives of procurement practices, such as business and strategic goal
                                        • +
                                        • Strong problem solving and analytical skills
                                        • +
                                        • Excellent verbal and written communication skills; ability to effectively communicate with leadership team
                                        • +
                                        • Proven ability to balance multiple priorities, adapt to constantly changing business environment, work independently, drive projects to completion, and meet deadlines in a fast paced environment
                                        • +
                                        • Bachelor’s degree in management, finance, or related field; master (MA or MSc) in business or related field preferred
                                        • +
                                        • 3 + years’ previous experience in data analytics, project management or financial services roles
                                        -

                                        -

                                        -

                                        -

                                        -

                                        Our story:

                                        -

                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        -

                                        -

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                        -

                                        -

                                        -

                                        Vaccination Policy

                                        -

                                        -

                                        At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                        -
                                        -
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-2055,feed-importer@jobboard.io,,,,2022-01-03T07:24:04.525Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/100381440-data-engineer-at-omers,,expired,2021-12-23T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f8cabeb6-7880-43a5-9824-21f6dcf5e4e8,98384900,TD Bank Group,"Senior Business Insights Analyst, Analytics & Reporting, TD Wealth",on_site,"Toronto, ON",2021-12-09T20:32:02.386Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -

                                        -

                                        Department Overview

                                        -

                                        The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        -

                                        Job Description

                                        -
                                        -

                                        The Senior Business Insights Analyst will join the Risk and Compliance POD and be accountable for partnering with stakeholders and delivering timely, meaningful analytics solution, to support managing risk and ensuring regulatory and policy compliance. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                        -

                                        Primary Responsibilities

                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Procurement-Insights-and-Analytics-ON/537935117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-13T17:34:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/32403650-senior-analyst-procurement-insights-and-analytics-at-scotiabank,,expired,2020-03-27T18:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7e297868-facb-439e-8ba5-7463630ce258,32403656,Scotiabank,Reporting Specialist- Data Reporting & Analytics- GBM,on_site,"Toronto, ON, Canada",2020-03-27T18:42:08.454Z,"

                                        Requisition ID: 84680

                                        +

                                        +

                                        Join the Global Community of Scotiabankers to help customers become better off.

                                        +

                                        +

                                        +

                                        Purpose of Job:

                                        +

                                        The GBM COO’s Office is seeking a Reporting Specialist/Senior Analyst to join its Client Insights and Analytics team. The group supports Global Banking & Markets in providing oversight and executing strategic initiatives across all divisions of Global Banking & Markets. This team is responsible for driving the analytics to drive client profitability, sales effectiveness and segmentation. This team is responsible for identifying business opportunities through the use of analytics to drive revenue growth. This role will focus on the Business Intelligence reporting development that provides analytics and insights.

                                        +

                                        +

                                        Major Accountabilities:

                                          -
                                        • Work closely with business stakeholders to understand business objectives and requirements, and design and execute on the analytical solutions in an accurate and timely fashion
                                        • -
                                        • Work agilely with various sources of data using SQL, Python, PySpark and other open source languages using multiple tools to generate analysis and reporting
                                        • -
                                        • Develop insightful, functional and appealing visualization via Tableau dashboard to facilitate self-serve insights generation and actioning
                                        • -
                                        • Become a data and subject matter expert to become a valuable and strategic partner who can provide thought leadership
                                        • -
                                        • Provide proactive value-added insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                        • -
                                        • Project manage and communicate with stakeholders and partners to deliver on milestones and to manage timelines and SLA
                                        • -
                                        • Manage partner inquiries, problem resolution, providing updates and communication including presentation and training as necessary
                                        • -
                                        • Actively contribute to enhancing the team’s foundational and scalable processes and best practices for data extraction, manipulation, archiving, provision of insights, team de-risking needs and reporting development techniques
                                        • -
                                        • Work effectively and efficiently in a fast paced, challenging data and technology environment that leverages multiple databases and tools
                                        • -
                                        • Work individually or as a team leveraging each other’s knowledge and expertise
                                        • -
                                        • -Contribute to a positive team dynamics including collaboration, sharing best practices and making it a great place to work
                                        • +
                                        • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                        • +
                                        • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                        • +
                                        • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                        • +
                                        • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                        • +
                                        • Act as client controller to provide an enterprise view of the client across several product lines, to facilitate cross sell and effect resource allocation
                                        • +
                                        • Oversee and review the process and look for improvement
                                        • +
                                        • Support ad hoc analysis requests as required
                                        • +
                                        • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                        -

                                        -

                                        Requirements

                                        -
                                        -Qualifications/Skills/Experience:

                                        +

                                        Requirements:

                                          -
                                        • Over 5 years of relevant experience in business strategy, reporting, analysis and insights preferably in the Financial Services industry
                                        • -
                                        • Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                        • -
                                        • Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                        • -
                                        • Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                        • -
                                        • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                        • -
                                        • Disciplined with a proven track record of delivering results and executing with excellence
                                        • -
                                        • Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                        • +
                                        • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                        • +
                                        • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                        • +
                                        • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                        • +
                                        • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                        • +
                                        • Act as client controller to provide an enterprise view of the client across several product lines, to facilitate cross sell and effect resource allocation
                                        • +
                                        • Oversee and review the process and look for improvement
                                        • +
                                        • Support ad hoc analysis requests as required
                                        • +
                                        • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                        -

                                        Education

                                        -
                                        • Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                        -

                                        Technical Knowledge/Skills

                                        +

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        +

                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Reporting-Specialist-Data-Reporting-&-Analytics-GBM-ON/539287517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-03-30T13:58:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/32403656-reporting-specialist-data-reporting-analytics-gbm-at-scotiabank,,expired,2020-03-27T18:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +28af6d6d-9795-468f-9242-4fc9abb0273b,32403669,TD Bank Group,Senior IT Data Specialist,on_site,"Mississauga, ON, Canada",2020-03-27T18:46:06.699Z,"

                                        Company Overview

                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +

                                        +

                                        Department Overview

                                        +

                                        The Enterprise Protect TRMIS organization vision is to protect, inform, guide and challenge the entire TD community with leadership, expertise, measurable data and risk management oversight. The Technology Enterprise Remediation Oversight (ERO) team is a group of technology governance and risk management professionals focused on providing independent oversight, governance, challenge to ensure quality and timely finding remediation of technology issues/ findings across Technology and report on the results. This team is part of the Enterprise Project TRMIS (Technology Risk Management and Information Security) organization.

                                        +

                                        +

                                        Job Description

                                          -
                                        • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                        • -
                                        • Experience with creating complex Tableau dashboards considered an asset
                                        • +
                                        • Advanced data administration and management of technology finding remediation data management and oversight (i.e. ITACC Management, GRC Issue Management, ED&A frameworks), to help drive actionable insights and aggregate risk of technology issues to Executive / at governing committees
                                        • +
                                        • Provide technical leadership across a broad range of data analysis functions including data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions.
                                        • +
                                        • Elicit, analyze and understand business and data requirements to develop / evolve complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data lifecycle management, governance, lineage, metadata and reporting elements.
                                        • +
                                        • Design / Implement / Enhance reporting platforms, including modeling, ETL, BI framework and be able to deliver complete BI solution that meets business requirements
                                        • +
                                        • Collaborate and build effective working relationships with colleagues across technology to achieve technology issue remediation management and information management objectives
                                        • +
                                        • Work closely with other technology work teams such as, ITS, Architecture, TRMIS, IT Audit, etc. to understand the business meaning of data, and provide analysis and requirements to ensure the data design is fully understood and the development initiatives are in line with the intended design and standards
                                        • +
                                        • Implement processes aligned to data management standards and ensure data quality and data requirements are embedded in and adhered to within the system development deliverables
                                        • +
                                        • Develop and maintain knowledge of data available from upstream sources and data within various platforms
                                        • +
                                        • Collaborate with business and technology partners to elicit information/data requirement and articulate those requirements in a manner that can be easily understood by team members
                                        • +
                                        • Perform data profiling using TD tooling and adhoc system query languages to validate data analysis
                                        • +
                                        • Implement, maintain and enhance Data Governance, Data Quality and related policies, in alignment with TD’s Enterprise standards and frameworks in collaboration with the Data Managers/Stewards/Owners
                                        • +
                                        • Ensure compliance with privacy and security of data, data governance and access controls
                                        • +
                                        • Prioritize and manage own workload to deliver quality results and meet timelines
                                        • +
                                        • Prepare data and summarizes information to facilitate business intelligence and knowledge management, that will be used to drive business decisions; involves extracting, transforming and loading processes/data using multiple reporting tools (e.g. Tableau, Excel, Archer, etc.)
                                        • +
                                        • Conduct analysis to provide enhanced BI to inform management leadership team
                                        • +
                                        • Create complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamart’s and external data sources
                                        • +
                                        • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                        • +
                                        • Develop meaningful and insightful commentary/insights on new and existing reporting packages
                                        • +
                                        • Identify business drivers, definitions and metrics to interpret findings, action and provide significant direction
                                        • +
                                        • Create and/or deliver presentations communications to management or broader audience / at various levels (including Executive)
                                        • +
                                        • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders where required
                                        • +
                                        • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure an in alignment with risk appetite
                                        -

                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        +

                                        Requirements

                                        +
                                          +
                                        • Advanced knowledge of the technical environment/ tools) for own area
                                        • +
                                        • Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
                                        • +
                                        • Familiarity with modern database and information system technologies
                                        • +
                                        • Familiarity with the integration of data from multiple data sources (Access, SQL, Excel, etc.)
                                        • +
                                        • Expert in MS Office (Excel & Access fully leveraging Pivot Tables, Charts and advanced functions)
                                        • +
                                        • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
                                        • +
                                        • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                                        • +
                                        • Work autonomously and accountable for acting as a lead within a specialized BI & Reporting function and may provide work direction to others
                                        • +
                                        • Support others within the Technology Regulatory, Audit and Risk Oversight team in the daily use of data systems and ensure adherence to TS Governance Policies and Standards
                                        • +
                                        • Identifying improvement opportunities BI/Reporting of operational performance / aggregate risk of issues at the operational and organizational level
                                        • +
                                        • Knowledge of IT policies, standards, and technology risk disciplines and practices
                                        • +
                                        • Ability to influence quality management and reporting tooling requirements
                                        • +
                                        • An analytical mindset with problem-solving skills
                                        • +
                                        • Excellent communication and collaboration skills, exercising excellence in client engagement with professionalism and ability to interact with all levels across the organization
                                        • +
                                        • Works well under pressure with minimal supervision and in a dynamic environment with shifting priorities
                                        • +
                                        • Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions for the ERO operations.
                                        • +
                                        • Provides thought leadership and/or industry knowledge for own area of expertise
                                        • +
                                        • Participate in / lead knowledge transfer within the team and other technology areas
                                        • +

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        Additional Information

                                        +

                                        Specific Educational Requirements / Accreditations /Skills / Experience:

                                        +
                                          +
                                        • BSc/BA in computer science or relevant technical certificate(s) / field / equivalent experience
                                        • +
                                        • IT governance and audit experience in lifecycle methodology, operations and frameworks (e.g. COBIT 5)
                                        • +
                                        • Quality Assurance / Process Improvement experience would be an asset
                                        • +
                                        +

                                        Other Qualifications/Skills/Experience:

                                        +
                                          +
                                        • 5-7 years’ experience as IT Data Manager/Analyst in the financial services industry
                                        • +
                                        • Able to manage and influence effectively within a highly matrixed environment
                                        • +
                                        • TD Organizational awareness & the ability to balance the viewpoints of various TS segments would be an asset
                                        • +

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14265904/senior-business-insights-analyst-analytics-reporting-td-wealth-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-23T14:46:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/98384900-senior-business-insights-analyst-analytics-reporting-td-wealth-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14265904/senior-business-insights-analyst-analytics-reporting-td-wealth-toronto-ca/,expired,2021-12-09T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -617d558e-c829-4b95-bad4-b921b88ff56a,98384903,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2021-12-09T20:32:02.643Z,"
                                        -

                                        Company Overview

                                        -
                                        +

                                        Hours

                                        +

                                        37.5

                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        ",,https://jobs.td.com/en-CA/jobs/10878823/senior-it-data-specialist-mississauga-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-04-13T17:57:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/32403669-senior-it-data-specialist-at-td-bank-group,,expired,2020-03-27T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bcf42354-f2ed-401d-885f-40f9c154d266,32403675,TD Bank Group,Data Management Analyst (Analyst III),on_site,"Toronto, ON, Canada",2020-03-27T18:54:04.855Z,"

                                        Company Overview

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -
                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -

                                        Department Overview

                                        -
                                        -

                                        The Business Banking Data Governance & Analytics group is responsible for the overall management of data requirements for Business Banking, including the development and implementation of a data strategy in line with enterprise standards & policies.

                                        -

                                        The group supports Business Banking operations, product and sales teams in the areas of data engineering, reporting, and analytics.

                                        -

                                        The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer.

                                        -

                                        Reporting to the Manager, Business Intelligence & Reporting, the Senior BI & Reporting Analyst will provide specialized end to end reporting & analytics for Business Banking products and services, including loans, lines of credit, deposits & cash management services.

                                        -
                                        +

                                        Department Overview

                                        +

                                        The office of the chief data officer (OCDO) is accountable to the data and information policies that drive business segments and enterprise functions to consistently understand, manage and govern their data appropriately. OCDO provides unified policy, standards, guidance and enablement approaches for businesses and technology to execute on the data management and governance mandate.

                                        +

                                        Within OCDO, the data governance team is responsible for change, training and communication strategy and liaises between the business segments and EDM team within OCDO. The Strategy and metrics team is responsible to consolidate policy and standards from various OCDO programs and evolve them into data and information policy and strategy. The EDM team drives thought leadership in data management practice and is accountable to develop and deliver policies, standards and guidance on metadata, DQ, Data life cycle and master/reference data management, as capabilities in enabling businesses to appropriately manage, govern, understand, trust and consume data. This Analyst role is within the EDM team of the OCDO.

                                        -

                                        Job Description

                                        -
                                        -

                                        The successful candidate’s accountabilities and responsibilities will include:

                                        +

                                        Job Description

                                        +

                                        The Analyst, Data management, supports OCDO’s management team in evolving the data management policies, standards and processes for Metadata and Data quality practices. This person supports in the development of guidance and standards to provide a consistent way for business lines to manage and govern critical data as it moves through the organization and gain a greater understanding and trust in the data. This person interacts and collaborates successfully with OCDO team members, business segments and other corporate and technology functions in socializing standards and guidance in managing data and adhering to standards set forth. The Analyst is also responsible to collect and report on the program level metrics and help carry out an effective review process with data stakeholders from business segments to drive adoption of the capabilities

                                        +

                                        +

                                        Requirements

                                          -
                                        • Create complex and comprehensive BI reporting packages and dashboards and perform data/business analysis using various internal data sources to support the understanding of Business banking customers, business drivers and the financial results.
                                        • -
                                        • Communicate analysis and ideas clearly, concisely and effectively with business partners and internal team.
                                        • -
                                        • Liaise with Business stakeholders to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate delivery.
                                        • -
                                        • Create and maintain detailed documentation on all projects/requests.
                                        • -
                                        • Produce specialized reporting packages, dashboards & scorecards to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision making,
                                        • -
                                        • Lead the implementation of initiatives in support of overall business/function strategy
                                        • -
                                        • Conduct analysis to provide enhanced BI to inform management leadership team
                                        • -
                                        • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                        • -
                                        • Develop meaningful and insightful commentary/insights on new and existing reporting packages.
                                        • -
                                        • Work with business partners to understand business objectives and develop value-added reporting and provide ad-hoc data extracts
                                        • -
                                        • Adopt, implement and effectively evolve report automation standards
                                        • +
                                        • Supports the management in development and maintenance of the metadata management and data quality standards, framework and metrics
                                        • +
                                        • Effectively collaborates with members of OCDO and business segments, in supporting the development and socialization of guidance and review artifacts
                                        • +
                                        • Collect and maintain program level metrics using LOB submission of adherence artifacts and leverage them to effectively challenges the business lines
                                        • +
                                        • Supports the Management with the development and maintenance of metadata management framework, training & learning content.
                                        • +
                                        • Supports Business Segments and Corporate Functions across the Enterprise to plan and implement the Enterprise Data Management mandate
                                        • +
                                        • Develops strong working relationships with Business Segments and data stakeholders to work collaboratively to promote adoption of data management mandate
                                        • +
                                        • Works collaboratively with team members and keep the status up to date on progress of annual priorities, initiatives, workstreams and their activities
                                        -

                                        -

                                        -

                                        Requirements

                                        -
                                          -
                                        • Undergrad in a quantitative discipline (Computer Sci, Math, etc)
                                        • -
                                        • 5+ years experience in ETL development, data analysis and working with large volumes of data, ideally within financial services.
                                        • -
                                        • 5+ years Experience in Software engineering Tools such as Python, PySpark, SAS, SQL
                                        • -
                                        • Project and time management skills
                                        • -
                                        • Knowledge of one or more of the TD’s systems would be an asset, e.g. Loans, DAS, CIF, Term and EDW, Akora.
                                        • -
                                        • Experience using visualization tools (e.g. Tableau)
                                        • -
                                        • Analytical thinker with ability to manage multiple projects and meet tight deadlines.
                                        • -
                                        • Well organized, high attention to detail, results-oriented.
                                        • -
                                        • A solid team player, with strong interpersonal skills.
                                        • -
                                        +

                                        Additional Information

                                        +

                                        Qualifications:

                                        +
                                          +
                                        • College/University degree
                                        • +
                                        • A minimum of 2 years in related work experience, in data management or data integration or business intelligence or data related job functions
                                        • +
                                        • Understanding of Technical concepts, Research skills and problem-solving skills.
                                        • +
                                        • Ability to quickly grasp deep concepts and new areas of interest in data management
                                        • +
                                        • Working knowledge of data management concepts and activities with focus on metadata
                                        • +
                                        • Excellent written and verbal communication skills and ability to communicate effectively with senior members of the team
                                        • +
                                        • Prioritization skills & multitasking ability
                                        • +
                                        • Proficient in MS Office suite
                                        • +
                                        • Ability to adapt in a fast paced and dynamic environment. High tolerance to changes and aggressive timelines expected.
                                        • +
                                        • Working knowledge of data mapping and lineage is a plus
                                        • +
                                        • Financial services/Banking industry experience is a plus
                                        • +

                                        -

                                        Hours

                                        -
                                        37.5
                                        +

                                        Hours

                                        +

                                        37.5

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        ",,https://jobs.td.com/en-CA/jobs/10858135/data-management-analyst-analyst-iii-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-03-30T14:00:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/32403675-data-management-analyst-analyst-iii-at-td-bank-group,,expired,2020-03-27T18:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +364116c1-7db6-4e2c-a00d-793bdfa375d2,32515270,Scotiabank,"Senior Full Stack (React/Node) Developer, Digital Factory",on_site,"Toronto, ON, Canada",2020-03-30T20:47:12.204Z,"

                                        Requisition ID: 77105

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14344591/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-16T19:54:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/98384903-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14344591/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2021-12-09T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f018fb30-d0b7-4d59-b991-5ba19433314b,98790884,OMERS,"Senior Data Engineer, Global Investments",on_site,"Ontario, Canada",2021-12-13T07:19:04.563Z,"
                                        -
                                        -
                                        -

                                        Why join us?

                                        -

                                        -

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        The Senior Data Engineer, Global Investments Technology (GIT) will join a team that leads the delivery of the products and platforms that enable OMERS Global Investments (GI) to analyze opportunities, action investment decisions and optimize the OMERS investment portfolio. GIT works across investment teams including Capital Markets, Infrastructure, Private Equity, Growth Equity and Ventures, and in close collaboration with Finance, Risk & Compliance teams.

                                        As a key member of the Global Investments Technology team, the Senior Data Engineer is instrumental in improving data & analytics capabilities by championing industry best practices and delivering data as a product to support investment decision making.



                                        The Senior Data Engineer will operationalize and maintain data pipelines deployed to the OMERS investment entities and cultivate a business relationship that assists in meeting business demands. The individual must also support and collaborate with data analysts, data scientists and investment professionals and engage in technical support, research and integration as part of 1 or more product team(s).

                                        -

                                        -

                                        As a member of this team, you will be responsible for:

                                        -

                                        Technical

                                        -

                                        -
                                          -
                                        • Translating requirements into solutions
                                        • -
                                        • Defining and executing technical test plans, performing unit, performance and integration tests and automating regression tests
                                        • -
                                        • Deploying ETL/ELT pipelines to achieve a high level of reliability, scalability and security
                                        • -
                                        • Sourcing, transforming and delivering structured and unstructured assets for analytical use
                                        • -
                                        • Optimizing performance of ETL pipelines and data sources
                                        • -
                                        • Participating in solution build, delivery, support and troubleshooting
                                        • -
                                        • Provisioning and managing Azure resources, including security and cost
                                        • -
                                        • Monitoring pipelines. Improving reliability. Automating audit
                                        • -
                                        -

                                        Organizational

                                        -
                                          -
                                        • Operating in an Agile development environment
                                        • -
                                        • Communicating effectively with other engineers and various other partners such as product managers, data & business analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management
                                        • -
                                        • Leading change and communicating impacts to partners and fellow team members
                                        • -
                                        • Identifying, defining and implementing opportunities for improving existing processes
                                        • -
                                        • Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery
                                        • -
                                        • Participating in establishing sound data management practices for the team and the organization
                                        • -
                                        • helping shape and scale the future of our development and production infrastructure
                                        • -
                                        -

                                        Qualifications:

                                        -

                                        Professional

                                        -
                                          -
                                        • -Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack or equivalent work experience. Financial industry application is preferred.
                                        • -
                                        • A Bachelor’s Degree in a scientific or engineering field of study or equivalent work experience
                                        • -
                                        • Microsoft Data engineer associate level certificate will be considered as an asset
                                        • -
                                        • -Industry Knowledge of best practices. Previous experience in developing and deploying operational procedures, tuning guides and best practices documentation
                                        • -
                                        • -Relationship Building. Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners
                                        • -
                                        • -Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction
                                        • -
                                        • -Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success
                                        • -
                                        -

                                        Technical

                                        -
                                          -
                                        • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management
                                        • -
                                        • Experience with data architecture, modeling, data warehousing
                                        • -
                                        • Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources:
                                            -
                                          • Azure Data Factory
                                          • -
                                          • Azure Databricks, experience with Scala/Python/Spark
                                          • -
                                          • Azure Functions using C#, PowerShell or Python
                                          • -
                                          • Azure SQL Database or PostgreSQL
                                          • -
                                          • Azure Synapse Analytics
                                          • -
                                          • Azure Cosmos DB
                                          • -
                                          • Azure App Services
                                          • -
                                          • Azure Logic Apps
                                          • -
                                          -
                                        • -
                                        • Proven experience automating CI/CD pipelines using Azure DevOps or equivalent work experience
                                        • -
                                        • Experience with the Microsoft Power Platform is preferred
                                        • -
                                        • Experience with SQL Server Data Tools
                                        • -
                                        • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies
                                        • -
                                        -

                                        -

                                        Our story
                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging.

                                        -

                                        -

                                        -

                                        -

                                        -

                                        Our story:

                                        -

                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        -

                                        -

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                        -

                                        -

                                        -

                                        Vaccination Policy

                                        -

                                        -

                                        At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to be fully vaccinated or have an approved exemption before attending OMERS and Oxford premises for work or for participating in in-person work events or work meetings.

                                        -
                                        -
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer--Global-Investments_JR-1821,feed-importer@jobboard.io,,,,2022-01-03T07:24:04.525Z,False,0,0,22,https://talenthub.vectorinstitute.ai/jobs/98790884-senior-data-engineer-global-investments-at-omers,,expired,2021-12-13T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9dcb36ab-c7d2-4a1c-8807-b13ec1ac830c,96914628,TD Bank Group,"Manager, Analytics and Insights (Marketing Campaign Delivery)",on_site,"Toronto, ON",2021-12-02T20:32:06.943Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -
                                        +

                                        At Scotiabank Digital Factory, the reach and opportunity of a global organization meets the passion and drive of a startup. Reinvention starts here—and it starts with you.

                                        +

                                        We believe that the pathway to success is paved with user feedback, so we’re constantly asking our customers how they want to bank. When we find an opportunity to make things people will love, we assemble teams of specialists to collaborate in Digital Factories in Canada, Chile, Mexico, Peru, and Colombia. We work fast, and we work smart. Join us to create meaningful experiences and build the bank of tomorrow for our customers around the world.

                                        +

                                        If you’d like to learn more about the Digital Factory workspace, our Digital Banking career opportunities, Communities of Practice, and open source projects, check out our microsite: https://digitalfactory.scotiabank.com/

                                        -

                                        Department Overview

                                        -
                                        -

                                        The Marketing Technologies & Analytics (MT&A) function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                        -

                                        The MT&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                        -

                                        The MT&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization

                                        -
                                        +

                                        As a Senior Software Developer you will be joining the Piegon team that's rebuilding the CMS platform for our Digital Marketing team and supporting campaign managers to effectively and efficiently manage customer offerings. You'll be responsible for developing the front end of the application in React and the back-end API in Node.JS. Wre are looking for a team member who is not afraid to challenge the status quo, pivot and adapt to change and have deep pride in quality craftsmanship with a focus on user centred design.

                                        +

                                        Is this role right for you?

                                        +
                                          +
                                        • You will write well designed, testable, efficient code by using best software development practices
                                        • +
                                        • You will be gather and refine specifications and requirements based on technical needs
                                        • +
                                        • You will be directing day-to-day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits, and communicate it throughout the team.
                                        • +
                                        • You will create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to risk and compliance
                                        • +
                                        • You will create and maintain software documentation
                                        • +
                                        • You will be creating a desktop and mobile experience for Scotiabank customers
                                        • +

                                        -

                                        Job Description

                                        -
                                        -

                                        The successful candidate will act as a SME within the Marketing Campaign Delivery group to support the growth and acceleration of Trigger messaging. Your success will be predicated on your ability to understand business objectives and challenges, forge strong partnerships, communicate effectively, design and execute best-in-class targeted programs, and continuously strive for increased efficiency.

                                        -

                                        Responsibilities

                                        +

                                        Do you have the skills that will enable you to succeed in this role?

                                          -
                                        • Support the end-to-end delivery of targeted campaigns, with an emphasis and focus to accelerate the growth of Trigger messaging across Line of Businesses – strategy, design, execution, quality control, and measurement
                                        • -
                                        • Provide thought leadership in the rollout and expansion of Customer Message Decision Engine (CMDE / HCL Interact), providing insights for best practices to effectively scale and adopt the new capability across the analytics team
                                        • -
                                        • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                        • -
                                        • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                        • -
                                        • Ensure required quality control checks are in place – always adhere to QC processes as new programs are created
                                        • -
                                        • Manage project pipeline to ensure agreed upon timelines are met
                                        • -
                                        • Liaise with other functions within MT&A (modeling, data governance, data engineering etc.) ensuring all dependencies are in place to meet campaign requirements
                                        • -
                                        • Execute with excellence, and disseminate key learnings to the rest of team to raise the execution level
                                        • -
                                        • Act as a leader on the team; provide advisory support and feedback to Sr Managers and Executives
                                        • +
                                        • You have experience with REST API design
                                        • +
                                        • You have experience working with authenticated, customer focused applications
                                        • +
                                        • You have worked on productionizing NodeJS servers
                                        • +
                                        • You have knowledge in Object Oriented and Functional Design
                                        • +
                                        • You have a deep knowledge of HTML / CSS / SASS (BEM, OOCSS, SMACSS, CSS3 Animations, Semantic HTML).
                                        • +
                                        • You have experience with at least one modern JS framework, preferably React
                                        • +
                                        • You’ve used modern JS toolsets (ES6+, Webpack, Babel, Jest, Protractor)
                                        • +
                                        • You’ve built accessible and internationalized eb applications before (JAWS, Voiceover, Transifex).
                                        • +
                                        • You stay up to date with industry best practice
                                        • +
                                        +

                                        What's in it for you?

                                        +
                                          +
                                        • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                        • +
                                        • We provide you with the tools and technology needed to create beautiful customer experiences
                                        • +
                                        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                        • +
                                        • Dress codes don't apply here, being comfortable does
                                        • +
                                        • Free shuttle service to and from Union station, which means more money in your pocket
                                        • +
                                        • Onsite subsidized cafeteria with a chef, so you can snack all day, every day
                                        • +
                                        • Onsite fitness center, so you can feel your best
                                        • +
                                        • This isn't your typical ""corporate"" job. We work hard and we have fun!
                                        • +
                                        • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                        • +
                                        • Career progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                        • +
                                        • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                        -

                                        -

                                        Requirements

                                        -
                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        +

                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Full-Stack-%28ReactNode%29-Developer%2C-Digital-Factory-ON/537675217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-30T17:49:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/32515270-senior-full-stack-react-node-developer-digital-factory-at-scotiabank,,expired,2020-03-30T20:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +6c64bd9e-4396-41b3-8b05-22b27eea9379,32515276,Scotiabank,"Full-stack (React and Node. JS) developer, Digital Factory",on_site,"Toronto, ON, Canada",2020-03-30T20:53:50.919Z,"

                                        Requisition ID: 83302

                                        +

                                        +

                                        At Scotiabank Digital Factory, the reach and opportunity of a global organization meets the passion and drive of a startup. Reinvention starts here—and it starts with you.

                                        +

                                        We believe that the pathway to success is paved with user feedback, so we’re constantly asking our customers how they want to bank. When we find an opportunity to make things people will love, we assemble teams of specialists to collaborate in Digital Factories in Canada, Chile, Mexico, Peru, and Colombia. We work fast, and we work smart. Join us to create meaningful experiences and build the bank of tomorrow for our customers around the world.

                                        +

                                        If you’d like to learn more about the Digital Factory workspace, our Digital Banking career opportunities, Communities of Practice, and open source projects, check out our microsite: https://digitalfactory.scotiabank.com/

                                        +

                                        +

                                        As a Software Developer you will be joining a team that's rebuilding the web platform for Scotiabank Online and supporting our brand new mobile banking application intiative as well. You'll be responsible for developing the front end of the application in React and the back-end API in Node.JS. Wre are looking for a team member who is not afraid to challenge the status quo, pivot and adapt to change and have deep pride in quality craftsmanship with a focus on user centred design.

                                        +

                                        +

                                        Is this role right for you?

                                          -
                                        • Hands on experience with strategy, design, execution, quality control, and measurement of 1:1 targeted campaigns
                                        • -
                                        • Working knowledge of direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                        • +
                                        • You will write well designed, testable, efficient code by using best software development practices
                                        • +
                                        • You will be gather and refine specifications and requirements based on technical needs
                                        • +
                                        • You will be directing day-to-day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits, and communicate it throughout the team.
                                        • +
                                        • You will create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to risk and compliance
                                        • +
                                        • You will create and maintain software documentation
                                        • +
                                        • You will be creating a desktop and mobile experience for Scotiabank customers
                                        +

                                        +

                                        Do you have the skills that will enable you to succeed in this role?

                                          -
                                        • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS
                                        • -
                                        • Technical and detail oriented
                                        • -
                                        • A project management mindset to help deliver on time to specifications
                                        • -
                                        • Pragmatic decision maker blending a mix of intellect and hands on experience
                                        • -
                                        • Business results driven mindset
                                        • -
                                        • Comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
                                        • +
                                        • You have experience with REST API design
                                        • +
                                        • You have experience working with authenticated, customer focused applications
                                        • +
                                        • You have worked on productionizing NodeJS servers
                                        • +
                                        • You have knowledge in Object Oriented and Functional Design
                                        • +
                                        • You have a deep knowledge of HTML / CSS / SASS (BEM, OOCSS, SMACSS, CSS3 Animations, Semantic HTML).
                                        • +
                                        • You have experience with at least one modern JS framework, preferably React
                                        • +
                                        • You’ve used modern JS toolsets (ES6+, Webpack, Babel, Jest, Protractor)
                                        • +
                                        • You’ve built accessible and internationalized eb applications before (JAWS, Voiceover, Transifex).
                                        • +
                                        • You stay up to date with industry best practice
                                        -

                                        Qualifications

                                        +

                                        What's in it for you?

                                          -
                                        • 7+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high-volume direct marketing industries)
                                        • -
                                        • Significant experience with HCL/IBM Unica Suite – Unica Interact & Campaign
                                        • -
                                        • Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements
                                        • -
                                        • Experience designing and executing campaigns, and improving successful direct marketing experiments (i.e. acquisition, customer management, loyalty, engagement)
                                        • -
                                        • Track record of delivering successful initiatives on time and on budget
                                        • -
                                        • Understanding of Privacy regulations relating to customer contact preferences (CASL, DNC, DNS etc.)
                                        • -
                                        • Familiarity with OMLC an asset
                                        • -
                                        • Degree in business, marketing, science, statistics, engineering, or other quantitative discipline
                                        • +
                                        • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                        • +
                                        • We provide you with the tools and technology needed to create beautiful customer experiences
                                        • +
                                        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                        • +
                                        • Dress codes don't apply here, being comfortable does
                                        • +
                                        • Free shuttle service to and from Union station, which means more money in your pocket
                                        • +
                                        • Onsite subsidized cafeteria with a chef, so you can snack all day, every day
                                        • +
                                        • Onsite fitness center, so you can feel your best
                                        • +
                                        • This isn't your typical ""corporate"" job. We work hard and we have fun!
                                        • +
                                        • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                        • +
                                        • Career progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                        • +
                                        • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                        -

                                        -

                                        Additional Information

                                        -
                                        #LI-POST
                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        +

                                        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                        -

                                        Hours

                                        -
                                        37.5
                                        +

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Full-stack-%28React-and-Node_-JS%29-developer%2C-Digital-Factory-ON/539025117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-04-30T17:55:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/32515276-full-stack-react-and-node-js-developer-digital-factory-at-scotiabank,,expired,2020-03-30T20:53:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +1638bd5e-c3e7-4aca-a0a8-cb63ba0f49b3,32891788,BenchSci,"Tech Lead, Data Pipeline",on_site,"Toronto, ON, Canada",2020-04-06T17:46:32.913Z,"

                                        BenchSci exponentially increases the speed and quality of life-saving research by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime and Google’s AI fund, Gradient Ventures, BenchSci uses machine learning to diagnose pharmaceutical R&D health from hidden patterns in procurement data. Customers receive a report on failure rates, productivity, and redundancy by department, therapeutic area, geography, and cost center. They can then address inefficiencies by deploying BenchSci’s AI-Assisted Reagent Selection, which empowers scientists to select the best reagents and design criteria for their experiments. Thereafter, post-deployment reports confirm impact and ROI.
                                        A turnkey application of AI with immediate, quantifiable impact, BenchSci now optimizes reagent procurement and experimental success in 15 of the top 20 pharmaceutical companies and over 3,600 leading academic centers globally.

                                        We are currently seeking a Tech Lead to join our Data Pipeline Team. In this role, you will oversee and execute the technical aspects of BenchSci's data products and platform. You are responsible for harnessing the power of the team to effectively deliver value to both our customers and stakeholders through sound technical decisions and design.

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        What you’ll do:

                                        +
                                            +
                                          • Lead the technical aspects of BenchSci data pipeline platform
                                          • +
                                          • Plan, execute and deliver quality technical deliverables in a timely manner
                                          • +
                                          • Collaborate proactively and closely with other teams to ensure successful integrations
                                          • +
                                          • Give presentations to various audiences, both technical and non-technical
                                          • +
                                          • Innovate with life scientists and machine learning engineers on how to capture and model additional scientific experiments with scalability and performance in mind
                                          • +
                                          • Create a scalable and sustainable data platform for low-friction data movement between various data sources with Spark as the ubiquitous distributed processing engine
                                          • +
                                          • Coach and mentor team members to continuously improve and acquire new technical skills
                                          • +
                                        +

                                        Who we’re looking for:

                                        +
                                            +
                                          • 5+ years working as a professional developer
                                          • +
                                          • Experience with Agile methodologies such as Scrum, Kanban or XP
                                          • +
                                          • Exposed to DataOps approaches in managing data and analytics projects
                                          • +
                                          • Experience with database design and RDBMS performance tuning
                                          • +
                                          • Experience with other data paradigms such as NoDB, NoSQL, Documents, Graphs and understand the trade-offs when modeling with them
                                          • +
                                          • Experience with cloud reference architectures and implementing standard data processing patterns on the cloud
                                          • +
                                          • Expertise in Spark 2.x, Dataset/DataFrame API and performance tuning
                                          • +
                                          • Expertise in advanced SQL concepts such as windowing and interpreting query plans
                                          • +
                                          • You have strong cross-team communication and collaboration skills
                                          • +
                                          • A team player who strives to see teammates succeed together
                                          • +
                                        +

                                        Bonus points for:

                                        +
                                            +
                                          • Background in Life Science
                                          • +
                                          • Experience in Python, Pandas
                                          • +
                                          • Experience with Airflow or other workflow management systems in a distributed setup
                                          • +
                                          • Experience with Kubernetes in production
                                          • +
                                          • Experience with microservice architecture patterns
                                          • +
                                        +

                                        What’s in it for you:

                                        +
                                            +
                                          • Competitive salary with company benefits from day one
                                          • +
                                          • Dedicated learning and development budget (conferences, courses, etc.)
                                          • +
                                          • An opportunity to help transform and improve scientific research with a fun, energetic, and supportive team
                                          • +
                                          • Quarterly team events, annual retreats, and regular lunch and learns
                                          • +
                                          • Fully stocked kitchen with healthy snacks
                                          • +
                                          • Onsite gym and showering facilities
                                          • +
                                          • Casual dress code in a creative office environment (we have our own botanist!)
                                          • +
                                          • Office located in the heart of downtown Toronto (College/Bathurst)
                                          • +
                                        +



                                        About BenchSci With a 50% failure rate, inappropriate antibodies waste millions of research dollars and delay novel therapies by months. BenchSci’s AI solves this problem by continuously reading biomedical papers like a PhD biologist to understand which antibodies have been successfully used in which experiments. Unlike traditional antibody search tools, BenchSci uses comprehensive data, proprietary machine learning models, sophisticated bioinformatics and ontologies, proprietary image recognition technology, and a unique interface to increase confidence in antibody selection. This reduces the cost of research and increases its impact for over 31,000 scientists at more than 3,600 academic institutions and 15 of the top 20 pharmaceutical companies that trust BenchSci to guide their experiment design.

                                        +

                                        Here at BenchSci, these are our core values:

                                        +

                                        Focused: We focus on what will drive the greatest impact at all times.

                                        +

                                        Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.

                                        +

                                        Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.

                                        +

                                        Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.

                                        +

                                        Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.APPLY FOR THIS JOB

                                        ",,https://jobs.lever.co/benchsci/8ebcdcfb-2b15-44e3-974b-ef7f6cecefa7?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,,,,2020-05-04T20:57:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/32891788-tech-lead-data-pipeline-at-benchsci,,expired,2020-04-06T17:46:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Team Lead,Bachelors Degree,Re-Posting an Expired Job, +03d70b5e-18bb-487a-bd5d-3ab264fa735b,32891856,Sun Life Financial,Business Data Analyst,on_site,"Toronto, ON, Canada",2020-04-06T20:08:59.468Z,"

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14431983/manager-analytics-and-insights-marketing-campaign-delivery-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-16T19:54:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/96914628-manager-analytics-and-insights-marketing-campaign-delivery-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14431983/manager-analytics-and-insights-marketing-campaign-delivery-toronto-ca/,expired,2021-12-02T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -34a9e965-21cf-4d35-b2d2-6ae8413f87df,96991293,Intact Financial Corporation,"Data Scientist Technical Lead (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-12-03T04:57:05.133Z,"
                                        -

                                        Who needs insurance? Everybody. That keeps us busy. Very busy.

                                        At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                        Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                        Here, innovation is everyone's job. Ready to make your mark?


                                        -
                                        About the role
                                        -

                                        Are you a machine learning expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                        Hiring Manager: Amine Mahmoudi

                                        Workplace: Toronto (700, University Ave)

                                        Your contribution:

                                        • Be the technical leader that help defining data science problems and developing innovative solutions using machine learning and advanced statistics
                                        • Help achieve long-term business goals by identifying and implementing solutions to subtle or ambiguous problems with the highest scientific rigour
                                        • Influence the lab technical direction by making actionable recommendations based on scientific and business findings to management
                                        • Coaching and mentoring of senior data scientists on technical matters and act as a technical reference for management
                                        • Review machine learning solutions and identify their corresponding scientific debt, and ultimately assess readiness for production deployment
                                        • Help the teams maintain a high scientific level by monitoring the application of data science standards of practice and participate in their evolution
                                        • Keep pace with new approaches and trends and use them in your own solutions
                                        • Work with other departments to promote the adoption of analytical principles within the organization

                                        -
                                        Qualifications
                                        -

                                        Your assets:

                                        • Your Master’s or PhD’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                        • Your 8 years of experience in the field of advanced statistics, data mining and text mining
                                        • Strong communication, time management, great teamworking and organization skills
                                        • Expert-level understanding of the underlying theory of machine learning
                                        • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                        • A multi-platform production experience with commercial and open-source data mining frameworks like Python, R, GitHub, etc.
                                        • Your ability to focus on vaguely defined issues requiring the application of a creative approach

                                        Here are a few reasons why others have joined our team:

                                        • An award-winning, inspiring workplace that supports its people and recognizes great work
                                        • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                        • Flexibility in how and where you work
                                        • A comprehensive financial rewards program that recognizes your success
                                        • An extensive, flexible benefits package
                                        • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                        • A casual ‘dress for your day’ culture that encourages you to be yourself
                                        • A $350 annual wellness account that promotes an active lifestyle

                                        -
                                        Closing Statement
                                        -

                                        We are an Equal Opportunity Employer

                                        At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                        If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                        Background Checks

                                        As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                        Internal Candidates

                                        For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                        Eligibility to Work in Canada

                                        It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                        -
                                        Referral Bonus
                                        -

                                        This role is eligible for employee referral bonus. #myReferrals3000


                                        -
                                        LinkedIn Sponsored
                                        -

                                        #LI-IT


                                        -
                                        ",,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-12-10T05:02:14.600Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/96991293-data-scientist-technical-lead-toronto-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab,expired,2021-12-03T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,Re-Posting an Expired Job, -60de11e1-6029-4711-b122-4a2d0160c81c,97762279,Manulife,"Data Analyst, Audit",on_site,"Toronto, ON, Canada",2021-12-06T21:39:10.140Z,"
                                        +

                                        Job Description:

                                        +

                                        +

                                        Role Summary:

                                        +

                                        The Digital Health Solutions (DHS) Data Analytics team plays a critical role in the execution of the DHS strategy and works very closely with the DHS Management team.

                                        +

                                        +

                                        The Data Analytics group is responsible for:

                                        +
                                          +
                                        • Being analytics translators to identify high-impact analytics use cases
                                        • +
                                        • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems
                                        • +
                                        • Defining business requirements for data gathering as new products and features are developed within DHS
                                        • +
                                        • Building Dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                        • +
                                        • Supporting various teams within DHS to leverage best practices associated with data management and develop processes that support data driven decision making
                                        • +
                                        +

                                        +

                                        The Business Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, documentation, delivery, and implementation of various business reports.

                                        +

                                        +

                                        What will you do?

                                        +
                                          +
                                        • Create and maintain Tableau dashboard and reports that can be leveraged to find insights
                                        • +
                                        • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings
                                        • +
                                        • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                        • +
                                        • Develop analysis and reporting tools to support requests for analytical services
                                        • +
                                        • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes
                                        • +
                                        • Efficient in developing and presenting reporting solutions to key stakeholders and partners
                                        • +
                                        • Understands and incorporates technology best practices with a primary focus on MS Access, MS Excel, Tableau and VBA
                                        • +
                                        • Assemble large, complex data sets that meet functional / non-functional business requirements
                                        • +
                                        • Work with business analytics/IT team to shape data architecture, business rules, and analytical toolsets
                                        • +
                                        • Use seasoned and practiced testing skills to develop thorough test methodologies that vet data theories, models and findings
                                        • +
                                        +

                                        +

                                        What will you need to succeed?

                                        +
                                          +
                                        • Bachelor's degree in Science or Engineering or Technology or Mathematics
                                        • +
                                        • 2-3 years of relevant work experience in a data role
                                        • +
                                        • 2 years experience with Tableau with demonstrated experience at creating interactive Tableau off complex data model
                                        • +
                                        • 1 year experience with Python and data libraries such as NumPy, Pandas, SciPy, and Scikit-Learn
                                        • +
                                        • Strong problem solving and analytical skills
                                        • +
                                        • Demonstrated ability to produce meaningful results from data
                                        • +
                                        • Proven experience consolidating and analyzing data sources
                                        • +
                                        • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                        • +
                                        • Proven ability to work collaboratively within a cross functional team environment
                                        • +
                                        • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                        • +
                                        • Attention to detail and in-depth planning, organizational and time management skills
                                        • +
                                        • Comfortable learning new applications quickly with minimal direction
                                        • +
                                        • Experience working with relational databases and creating data models with efficient design
                                        • +
                                        +

                                        +

                                        What will be nice to have?

                                        +
                                          +
                                        • Technical mindset with a graduate degree in computer science or engineering
                                        • +
                                        • Experience with machine learning applications
                                        • +
                                        • Experience in developing and maintaining large data model
                                        • +
                                        +

                                        +

                                        Unique Requirements:

                                        +
                                        • Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5 year history checks)
                                        +

                                        +

                                        What's in it for you?

                                        +
                                          +
                                        • Competitive salary, vacation and bonus structure influenced by market range data
                                        • +
                                        • A friendly, collaborative and inclusive culture
                                        • +
                                        • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                        • +
                                        +

                                        +

                                        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        +

                                        +

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        +

                                        +

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        +

                                        +

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        +

                                        +

                                        Salary Range:

                                        +

                                        49,400/49 400 - 80,800/80 800

                                        +

                                        +

                                        Job Category:

                                        +

                                        Advanced Analytics

                                        +

                                        +

                                        Posting End Date:

                                        +

                                        09/04/2020

                                        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00029682,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-04-13T17:40:00.000Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/32891856-business-data-analyst-at-sun-life-financial,,expired,2020-04-06T20:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +68faf914-c268-43de-8171-8eb5ebf3de4f,94998906,Manulife,Lead Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-11-18T21:39:16.634Z,"

                                        Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                        Job Description

                                        -

                                        The Manulife Audit Services Data Analytics group supports the global audit teams by collaborating with them to provide meaningful data and successfully employ the use of data analytics in audit activities. These activities cover the different product lines and functions within the company globally. This includes Insurance, Wealth, Investment, and Banking products as well as actuarial and information technology functions.

                                        +

                                        Manulife Financial Corporation, a leading international financial services group offering insurance and wealth management solutions in the US, Canada, Europe, and Asia

                                        -

                                        The position of Analyst, Data Analytics is a key team member in contributing to the development and execution of the Data Analytics group strategy. The successful candidate will bring their innovation, mindset for critical thinking, curiosity and functional expertise, and a passion for using data and analytics tool sets to drive the success of this initiative. This position reports to Director, Audit Data Analytics.

                                        +

                                        We are on a transformational journey. We want to remove complexity from the financial services industry, to make people’s lives better by helping to make their decisions easier. Being part of this transformation is hugely exciting and offers talented, ambitious people an amazing opportunity to build a career. If that sounds like you, then we want to hear from you.

                                        -

                                        Key Accountabilities:

                                        -
                                          -
                                        • Develops and implements analytics enabled solutions to evaluate controls and audit business objectives on data validation, consolidation and cleansing processes and independently re-performs business processes, and identifies exceptions.

                                        • -
                                        • Owns and delivers complete projects of moderate complexity to prepare and integrate large and varied datasets to build statistical and machine learning models using Python and R and perform full-population data retrievals and/or sampling on large data sets

                                        • -
                                        • Works on problems of moderate scope / complexity to Validate and quantify accuracy and precision of analysis.

                                        • -
                                        • Develop requirements, design, code, test, and analyze results to provide support on audit activities using available tools/infrastructure.

                                        • -
                                        • Work independently to support individual audits, and collaboratively with both the team and Auditors on larger project

                                        • -
                                        • Analyze, document, present analytical results Communicates results of cases of moderate complexity to business partners and recommends to audit teams and provide conclusions/recommendations on data related issues.

                                        • -
                                        -

                                        -

                                        Job Requirement:

                                        +

                                        We are looking for a Lead Data Science Engineer to join our Advanced Customer Analytics team. Your job will be to execute against our strategy and drive initiatives that improve client experience and outcomes. Your primary responsibility will be researching and developing a global customer analytics record that will be used to insights and develops targeted, digital interventions.

                                        +

                                        +

                                        Who We Are

                                        +

                                        Manulife’s Advanced Customer Analytics team works across our global insurance and wealth management businesses to accelerate the use of Advanced Analytics & AI in understanding the voice of the customer – both what they say and how they interact with us. With an eye towards creating personalized products and digital service experiences we will play a key role in the organizations commitment to be a digital, customer leader.

                                        +

                                        What You Will Do

                                        You will be at the center of where Advanced Analytics meets customer experience. As part of a team dedicated to Advanced Customer Analytics, you will help enable predictive servicing solutions, use Natural Language Processing techniques to understand the voice of the customer, experiment with journey analytics to resolve pain points in our online experiences. You will lead the research and development of a global customer analytics record - the foundation for all other work.

                                        +


                                        The Role Will Be Directly Responsible For

                                          -
                                        • Bachelor\'s Degree in a technical (computer science, statistics, math, etc.) or generally an advanced degree in a quantitative discipline.

                                        • -
                                        • Working knowledge in data analytics/data management/programming experience, Machine-Learning, data mining and statistics.

                                        • -
                                        • Working knowledge of SQL, Python, VBA, MS Excel, Data Extraction and Data Mining tools.

                                        • -
                                        • Experience with visualization tools, Power BI, or Tableau will be an open source visualization libraries.

                                        • -
                                        • Experience with data gathering, storing, and retrieval methods

                                        • -
                                        • Experience working with various data platforms; structured and unstructured

                                        • -
                                        • Sound or developing business acumen

                                        • -
                                        • Knowledge or desire to learn text analytics

                                        • -
                                        • Knowledge or desire to learn statistical techniques (e.g., regression, cluster, decision trees)

                                        • -
                                        • Insurance or Financial Services industry experience preferred

                                        • +
                                        • Leading the creation of a global customer analytics record encompassing all elements of meaningful customer data, curated for Advanced Analytics & AI use cases

                                        • +
                                        • Identifying and prioritizing data for ingestion across all customer (and key B2B intermediary) experiences including sales, marketing, operations, web, mobile, call centers, and more.

                                        • +
                                        • Coordinating with global advanced analytics teams, business stakeholders, and technology teams to facilitate last mile delivery of reusable capabilities that can be easily deployed into new markets

                                        • +
                                        • Developing creative ways to source customer data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies

                                        • +
                                        • Provide thought leadership and drive innovative solutions that influence how data insights are delivered to the client throughout Manulife

                                        -

                                        Competencies:

                                        +

                                        Typical Qualifications

                                        +

                                        Bachelor’s Degree with 8+ year’s experience, or Master’s with any of the following fields: Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, or other related quantitative fields.

                                        +

                                        +

                                        Professional Experience may include

                                          -
                                        • Strong technical knowledge of data and data concepts

                                        • -
                                        • Detailed oriented with a problem solving mind set

                                        • -
                                        • Displays strong relationship building mindset and skills

                                        • -
                                        • Employ analytical, conceptual, and creative thinking skills to problem solve and get results

                                        • -
                                        • Able to prioritize, meet deadlines, and be results orientated

                                        • -
                                        • Demonstrated ability to communicate complexity with clarity to diverse technical and non-technical stakeholders at multiple levels of the organization

                                        • -
                                        • Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Ability to communicate results and educate others through reports and presentations

                                        • -
                                        • Strong commitment to organizational success, share resources and leverages knowledge across the organization

                                        • -
                                        • Adaptable and open to change

                                        • +
                                        • Advanced skills in modern data architecture, data science engineering, data modeling, data quality and manipulation of structured and unstructured data sources using state-of-the-art cloud computing technologies (Azure)

                                        • +
                                        • Expertise delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment

                                        • +
                                        • Familiarity with Big Data processing and building Data APIs. Experience with automated data quality frameworks is a plus.

                                        • +
                                        • Entrepreneurial spirit and commitment to creating rigorous, high-quality insights from data, at scale.

                                        • +
                                        • Excellent communication skills and ability to engage the enterprise across multiple specializations with analytically backed compelling stories

                                        • +
                                        • Proven project management and planning skills

                                        • +
                                        • Prior experience with insurance or financial services is not required

                                        @@ -2806,8 +3755,8 @@ f018fb30-d0b7-4d59-b991-5ba19433314b,98790884,OMERS,"Senior Data Engineer, Globa

                                        It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                        -
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Analyst--Audit_JobReq0444458-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-12-09T17:27:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/97762279-data-analyst-audit-at-manulife,,expired,2021-12-06T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -1196043b-48cd-4778-9d7e-0e12a4f6631e,97762281,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-12-06T21:39:10.257Z,"
                                        +
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Lead-Machine-Learning-Engineer_JobReq0442126,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-11-29T17:19:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/94998906-lead-machine-learning-engineer-at-manulife,,expired,2021-11-18T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +6620117a-500a-4b11-955f-51e4b2b133fd,95412371,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-11-20T21:39:05.901Z,"

                                        Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                        @@ -2858,654 +3807,345 @@ f018fb30-d0b7-4d59-b991-5ba19433314b,98790884,OMERS,"Senior Data Engineer, Globa

                                        It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                        -
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-12-20T18:04:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/97762281-senior-data-scientist-at-manulife,,expired,2021-12-06T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -a94766fd-e466-42b8-a31c-074d2cbb0679,89688898,Vector Institute,"Applied Machine Learning Specialist AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-20T05:44:36.681Z,"
                                        -

                                        POSITION OVERVIEW

                                        -

                                        -

                                        As a Vector Applied Machine Learning Specialist, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI.

                                        -

                                        -

                                        KEY RESPONSIBILITIES

                                        -

                                        +
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-11-29T17:19:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/95412371-senior-data-scientist-at-manulife,,expired,2021-11-20T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,Re-Posting an Expired Job, +86e59dc1-b6f0-414f-b684-a8481322023a,95490091,TELUS,Data Scientist,on_site,"Ontario, Canada",2021-11-21T07:07:09.224Z,"
                                        +
                                        +

                                        Description

                                        +
                                        +

                                        +

                                        +

                                        Ready to create innovative solutions and best practices?

                                        +

                                        +


                                        Join our team

                                        +


                                        Have you ever dreamed about building an AI-driven technologically advanced platform capable of helping millions of people and changing their lives for the best? If so, your dream will come true with us

                                        +


                                        TELUS is looking for a passionate and talented Data Scientist to join a highly skilled and dynamic Advanced Analytics team. In this role, you will be a key contributor to our next generation Demand Forecasting, and Customer Behavioral & Customer Intents Prediction models.

                                        +

                                        +


                                        You will create the most advanced Machine Learning solutions to enable various stakeholders to better anticipate TELUS’ customers needs and help them meet customers’ inquiries in advance.

                                        +


                                        Customer Experience AI, Data & Analytics Spotlight:

                                        +


                                        • Our team works in a fun, innovative and challenging environment that directly influences the strategic direction and performance of the Customer Experience business
                                        • Our teams are responsible for the Demand Forecasting, Customer Intents and Behavioral Prediction, as well as Performance Analytics
                                        • We work closely with our stakeholder teams to deliver on our strategic objectives; our key stakeholders and partners include Operations, Marketing, Finance, and Technology

                                        +

                                        +

                                        Transformation and more

                                        +


                                        • We provide opportunities for you to excel and show your stuff: work on high value and high visibility projects
                                        • We have flexible work styles with the ability to work in and out of the office
                                        • You will work in a team that actively supports your personal development with progressive training and development tools

                                        +


                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        +


                                        As a Data Scientist, you’re in great company, working alongside some of the brightest and creative Data Scientists, Data Engineers and Data Analysts. You will be part of the journey that brings us to a better understanding of our customers, in order to predict their needs and interaction behaviour.

                                        +


                                        With your expert knowledge and experience in Machine Learning, you will contribute to the development of state of the art ML & AI driven solutions such as demand forecasting, customer intents prediction and customer behaviour models.

                                        +


                                        Here\'s how

                                        +

                                        +

                                          -
                                        • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                        • -
                                        • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                        • -
                                        • Design and develop open source software for applying AI research techniques to common problems;
                                        • -
                                        • Mentor industry sponsors on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                        • -
                                        • Mentor researchers on software engineering best practices;
                                        • -
                                        • Develop prototypes and proofs of concept; and,
                                        • -
                                        • Report and present on software development including status and results.
                                        • +
                                        • Lead the development and implementation of ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                        • +
                                        • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology
                                        • +
                                        • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                        • +
                                        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                        • +
                                        • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                        • +
                                        • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                        -

                                        -

                                        PROFILE OF THE IDEAL CANDIDATE

                                        -

                                        +
                                        +
                                        +
                                        +

                                        Qualifications

                                        +
                                        +

                                        +

                                        You\'re the missing piece of the puzzle

                                        +

                                        +

                                          -
                                        • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred
                                        • -
                                        • Minimum of 2 years of experience in industry; experience across industries considered an asset
                                        • -
                                        • Demonstrated experience in machine learning and/or statistics
                                        • -
                                        • Demonstrated software engineering background with experience in production deployment
                                        • -
                                        • Demonstrated data engineering background working with messy real-world data
                                        • -
                                        • Demonstrated analytical skills to identify signal in data and feasibility of prediction
                                        • -
                                        • Strong knowledge and experience of Python and preferably C/C++ and C#
                                        • -
                                        • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                        • -
                                        • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA)
                                        • -
                                        • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                                        • +
                                        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques
                                        • +
                                        • You are sought out for your skills in Machine Learning (Supervised and Unsupervised), Classification, Clustering, Segmentation, Time Series Analysis, NLP, Demand Forecasting and Optimization, with 5 or more years of practical business experience in the above areas
                                        • +
                                        • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                        • +
                                        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                        • +
                                        • You are comfortable with Jupyter environment and infrastructure, as well as know what GitHub, Spyder/PyCharm are
                                        • +
                                        • You possess advanced knowledge in SQL
                                        • +
                                        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                        • +
                                        • You are well versed in software and AI development lifecycles
                                        • +
                                        • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach
                                        -

                                        -

                                        Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on August 19, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                        -

                                        -

                                        Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                        -

                                        -

                                        At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                        -

                                        -

                                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                        -
                                        ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=143&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-19T18:46:06.982Z,False,0,6,67,https://talenthub.vectorinstitute.ai/jobs/89688898-applied-machine-learning-specialist-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-20T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -cb69cf6f-36fa-4f0c-a965-ec718f7b21f4,89688899,Vector Institute,"Applied Machine Learning Specialist (ML Systems) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-20T05:44:47.734Z,"
                                        -

                                        POSITION OVERVIEW

                                        -

                                        -

                                        As an Applied Machine Learning Specialist (ML Systems) you will provide technical leadership and contribute to focused research applications to solve real-world problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data specialists and machine learning engineers from leading industry and healthcare organizations. You will collaborate with some of the leading machine learning researchers, data specialists and engineers.

                                        -

                                        -

                                        KEY RESPONSIBILITIES

                                        -

                                        -
                                          -
                                        • Research and implement state of the art machine learning techniques to solve real world problems;
                                        • -
                                        • Work in collaboration with Researchers, Machine learning specialists, Vector team members and Vector affiliates to build demos, minimum viable products (MVP) and prototypes;
                                        • -
                                        • Provide advice regarding building machine learning applications and ML product roadmaps
                                        • -
                                        • Provide oversight for Vector-led or co-led efforts to prepare and open source specific datasets for machine learning research;
                                        • -
                                        • Serve as the an AI Engineering team representative to research computing and HPC team;
                                        • -
                                        • Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
                                        • -
                                        • Other related duties as assigned.
                                        • -
                                        -

                                        -

                                        PROFILE OF THE IDEAL CANDIDATE

                                        -

                                        +


                                        Great-to-haves

                                        +

                                          -
                                        • A degree in computer science or computer engineering with a research focus on machine learning
                                        • -
                                        • Strong software engineering and coding skills, with the ability to write high-performance and production-level code
                                        • -
                                        • Demonstrated expertise in building systems for applying machine learning algorithms for solving business challenges -
                                        • -
                                        • Demonstrated experience applying machine learning research to novel problems and data sets
                                        • -
                                        • Strong knowledge and experience of Python
                                        • -
                                        • Experience with large scale machine learning operations such as distributed training, parameter and architecture tuning of deep learning models
                                        • -
                                        • Experience using deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA)
                                        • -
                                        • Demonstrated experience with SLURM and bash programming is a plus
                                        • -
                                        • Experience with high-performance-computing and GPU execution model is a plus
                                        • -
                                        • Experience with CI/CD and software development life-cycles is a plus
                                        • +
                                        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                        • +
                                        • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                        • +
                                        • Data environments experience: MS SQL, Oracle
                                        • +
                                        • G-Suite experience
                                        • +
                                        • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                        -

                                        -

                                        Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on August 19, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                        -

                                        -

                                        Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                        -

                                        -

                                        At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                        -

                                        -

                                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                        -
                                        ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=144&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-19T18:46:49.932Z,False,0,4,34,https://talenthub.vectorinstitute.ai/jobs/89688899-applied-machine-learning-specialist-ml-systems-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-20T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -ca7a25e8-53da-499a-a999-b6f3741961a5,89969324,RBC,Data Engineering Manager- RBC Ventures (Ampli),on_site,"Toronto, Ontario, Canada",2021-10-21T02:39:19.331Z,"
                                        -

                                        RBC Ventures is a new kind of business – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives – to move RBC ‘beyond banking’. We’re building a world-class organization focused on designing exceptional experiences, exploring new business models and creating exponential value. In 2020, we were named by Fast Company as one of the 100 Best Workplaces for Innovators and we’re looking for team members with the curiosity to explore, the capabilities to build and capacity to help us deliver our mission.

                                        -

                                        -

                                        What is the opportunity?

                                        -

                                        Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineering Lead – a senior data engineer with a lot of experience building scalable, performant, secure, and observable cloud-based data platforms. In this role, you will manage a data engineering team while remaining hands-on-keyboard to solve some of Ampli’s toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning products to enable batch and real time event processing as well as advanced analytics. In short, we’re looking for folks who have built (and continue to build) a lot of cool, well-designed data services and who want to share their knowledge and experience by being a technical leader in our organization.

                                        -

                                        -

                                        What will you do?

                                        -
                                          -
                                        • Manage a team of dedicated data engineers and mentor them as they design, test, and deploy our data platform
                                        • -
                                        • Work closely with key data stakeholders, including the Product, Data Science, Insights, and Development teams with data-related initiatives and support their data engineering needs
                                        • -
                                        • Build and manage large-scale batch and real-time data pipelines using modern cloud technology
                                        • -
                                        • Clear roadblocks for your team and empower them to do their best work
                                        • -
                                        • Participate and be a thought leader in meetings with business and technical leads to help make decisions and achieve short and long-term goals while taking many factors into consideration (product roadmap, target metrics, budget constraints, operational stability, technical risk, etc)
                                        • -
                                        • Ownership and responsibility for operational best practices including effective logging, application performance monitoring, application health monitoring, and supporting issues in the production environment
                                        • -
                                        • Be an evangelist for Ampli and the RBC Ventures Tech brand both within RBC and outside of RBC
                                        • -
                                        • Work with an awesome team in a challenging but rewarding environment
                                        • -
                                        -

                                        -

                                        The ideal candidate will have experience with:

                                        -
                                          -
                                        • Dealing with structured and unstructured data sets, data analytics, and big data pipelines and infrastructure
                                        • -
                                        • Managing a high-performing data engineering team
                                        • -
                                        • Owning and operating a production data and analytics platform
                                        • -
                                        • Designing and implementing data infrastructure to house large sets of consumer and transaction data, leveraging AWS platform services
                                        • -
                                        • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                        • -
                                        • Implementing and supporting data pipelines for extraction, transformation, and modelling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                        • -
                                        • Preparing analytical datasets to support data modeling and machine learning use cases
                                        • -
                                        • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                        • -
                                        • Communicating effectively to sell stakeholders on proposed actions and solutions
                                        • -
                                        -

                                        -

                                        The superlative candidate will have experience with:

                                        -
                                          -
                                        • Experience in the marketing analytics space
                                        • -
                                        • Familiarity with common data science techniques and models
                                        • -
                                        • Experience working with large financial institutions
                                        • -
                                        • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                        • -
                                        • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                        • -
                                        -

                                        -

                                        What’s in it for you?

                                        -

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        -
                                          -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities
                                        • -
                                        • Ability to make a difference and lasting impact
                                        • -
                                        • Work in a dynamic, collaborative, progressive, and high-performing team
                                        • -
                                        • A world-class training program in financial services
                                        • -
                                        • Flexible work/life balance options
                                        • -
                                        • Opportunities to do challenging work
                                        • -
                                        -

                                        -

                                        RBC Ventures

                                        -

                                        Learn more about RBC Tech Jobs

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.


                                        JOB SUMMARY
                                        City: Toronto
                                        Address: Remote
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Required Travel(%): 0
                                        Exempt/Non-Exempt: N/A
                                        People Manager: Yes
                                        Application Deadline: 11/30/2021
                                        Platform: Technology and Operations

                                        Req ID: 412800
                                        Ad Code(s): RBC Ventures

                                        -

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-20T15:27:13.284Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/89969324-data-engineering-manager-rbc-ventures-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,expired,2021-10-21T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c6d2d3b2-c30a-445c-a98e-eefb30620efa,90026191,TELUS,Data Scientist,on_site,"Ontario, Canada",2021-10-21T07:06:16.554Z,"
                                        -
                                        -

                                        Description

                                        -
                                        -

                                        -

                                        -

                                        Ready to create innovative solutions and best practices?

                                        -

                                        -


                                        Join our team

                                        -


                                        Have you ever dreamed about building an AI-driven technologically advanced platform capable of helping millions of people and changing their lives for the best? If so, your dream will come true with us

                                        -


                                        TELUS is looking for a passionate and talented Data Scientist to join a highly skilled and dynamic Advanced Analytics team. In this role, you will be a key contributor to our next generation Demand Forecasting, and Customer Behavioral & Customer Intents Prediction models.

                                        -

                                        -


                                        You will create the most advanced Machine Learning solutions to enable various stakeholders to better anticipate TELUS’ customers needs and help them meet customers’ inquiries in advance.

                                        -


                                        Customer Experience AI, Data & Analytics Spotlight:

                                        -


                                        • Our team works in a fun, innovative and challenging environment that directly influences the strategic direction and performance of the Customer Experience business
                                        • Our teams are responsible for the Demand Forecasting, Customer Intents and Behavioral Prediction, as well as Performance Analytics
                                        • We work closely with our stakeholder teams to deliver on our strategic objectives; our key stakeholders and partners include Operations, Marketing, Finance, and Technology

                                        -

                                        -

                                        Transformation and more

                                        -


                                        • We provide opportunities for you to excel and show your stuff: work on high value and high visibility projects
                                        • We have flexible work styles with the ability to work in and out of the office
                                        • You will work in a team that actively supports your personal development with progressive training and development tools

                                        -


                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        -


                                        As a Data Scientist, you’re in great company, working alongside some of the brightest and creative Data Scientists, Data Engineers and Data Analysts. You will be part of the journey that brings us to a better understanding of our customers, in order to predict their needs and interaction behaviour.

                                        -


                                        With your expert knowledge and experience in Machine Learning, you will contribute to the development of state of the art ML & AI driven solutions such as demand forecasting, customer intents prediction and customer behaviour models.

                                        -


                                        Here\'s how

                                        -

                                        -

                                        -
                                          -
                                        • Lead the development and implementation of ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                        • -
                                        • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology
                                        • -
                                        • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                        • -
                                        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                        • -
                                        • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                        • -
                                        • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                        • -
                                        -
                                        -
                                        -
                                        -

                                        Qualifications

                                        -
                                        -

                                        -

                                        You\'re the missing piece of the puzzle

                                        -

                                        -

                                        -
                                          -
                                        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques
                                        • -
                                        • You are sought out for your skills in Machine Learning (Supervised and Unsupervised), Classification, Clustering, Segmentation, Time Series Analysis, NLP, Demand Forecasting and Optimization, with 5 or more years of practical business experience in the above areas
                                        • -
                                        • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                        • -
                                        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                        • -
                                        • You are comfortable with Jupyter environment and infrastructure, as well as know what GitHub, Spyder/PyCharm are
                                        • -
                                        • You possess advanced knowledge in SQL
                                        • -
                                        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                        • -
                                        • You are well versed in software and AI development lifecycles
                                        • -
                                        • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach
                                        • -
                                        -


                                        Great-to-haves

                                        -

                                        -
                                          -
                                        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                        • -
                                        • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                        • -
                                        • Data environments experience: MS SQL, Oracle
                                        • -
                                        • G-Suite experience
                                        • -
                                        • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                        • -
                                        -
                                        -
                                        -
                                        ",,https://careers.telus.com/job/Calgary-Data-Scientist-AB/551960017/,feed-importer@jobboard.io,,,,2021-11-20T15:31:28.402Z,False,0,4,41,https://talenthub.vectorinstitute.ai/jobs/90026191-data-scientist-at-telus,,expired,2021-10-21T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -31861cd0-bbad-45f5-a1f2-366cc2bd5f19,90107928,Loblaw Companies Ltd.,Data Scientist Analyst Market Division,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-10-21T17:55:19.442Z,"
                                        -
                                        -
                                        -

                                        Referred applicants should not apply directly to this role.

                                        -

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        -

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                        -

                                        Why is this role important?

                                        -

                                        Position Overview:

                                        -

                                        Market Division Analytics team at Loblaw is looking for a Data Science Analyst to join our fast-growing team. The candidate will help with the data analytics spectrum from ad-hoc database queries through to machine learning models. The team will look for your expertise in helping build production-ready data science solutions.

                                        -

                                        As Canada’s largest retailer, we are uniquely positioned to leverage data driven insights to deliver the needs of our customers. Our culture – Smart, Nice and Curious operates at the center of everything we do and is a critical part of who we are. Join us help Canadians live life well through the power of analytics.

                                        -

                                        -

                                        What You'll Do:

                                        -
                                          -
                                        • -Collaborate with the business to translate problem statements and then design and test analytical modules for modeling
                                        • -
                                        • Be a strong individual contributor who can quickly extract data and hash out working prototypes leveraging cloud technology to solve business needs
                                        • -
                                        • Develop powerful business insights from data using a range of analytical techniques including, but not limited to building predictive models that learn from and scale to massive data sets and the production of interactive data visualizations
                                        • -
                                        • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                        • -
                                        • Partner with our Data & Software Engineering departments to build world-class web-based analytical solutions
                                        • -
                                        • Design and build interactive and static data visualizations to provide insights and enable strategic business decision
                                        • -
                                        • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                        • -
                                        -

                                        -

                                        What You'll Bring:

                                        -
                                          -
                                        • Graduate degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science or Systems Engineering with focus on optimization methods
                                        • -
                                        • Experience in retail and/or CPG pricing, promotions and assortment is a big plus
                                        • -
                                        • Excellent oral and written communication skills
                                        • -
                                        • Superb analytical and critical thinking capability; to not only manipulate massive, complex datasets, but also to derive meaningful interpretations & conclusions
                                        • -
                                        • Experience writing production grade code using scientific computing packages (e.g., R, Apache Spark's Machine Learning Library MLlib, NumPy, Scipy Sklearn)
                                        • -
                                        • Programming skills with SQL, Python, PySpark
                                        • -
                                        • Expertise in object-oriented programming
                                        • -
                                        • Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
                                        • -
                                        • A desire and ability to take initiative, multi-task and work in a collaborative, fast-paced environment
                                        • -
                                        • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                        • -
                                        • Experience in Short-release lifecycle (agile processes including scrum)
                                        • -
                                        -

                                        -

                                        COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                        -

                                        -

                                        In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                        -

                                        How You’ll Succeed:

                                        -

                                        At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                        -

                                        If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                        -

                                        -

                                        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                        -

                                        -

                                        -

                                        Employment Type:

                                        Full time

                                        -

                                        -

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                        -

                                        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                        -
                                        -
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Analyst---Market-Division_R2000219461,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-11-04T18:00:03.284Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/90107928-data-scientist-analyst-market-division-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Analyst---Market-Division_R2000219461,expired,2021-10-21T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, -a26262ed-f209-40ae-876a-032274a9008e,90122670,TD Bank Group,"Senior Analyst, Strategy & Planning",on_site,"Toronto, ON",2021-10-21T19:51:26.068Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -

                                        -

                                        Department Overview

                                        -
                                        -

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        -

                                        It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                        -

                                        The Personal Banking Data & Analytics (PBDA) are specialized teams, providing specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities.

                                        -

                                        As an experienced analyst on the Strategy & Planning team reporting directly to the Senior Manager, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        Senior Analyst, Strategy & Planning
                                        Canadian Personal Banking Data & Analytics, TD

                                        -

                                        Reporting to the Senior Manager, Strategy & Planning for Personal Banking Data & Analytics (PBDA) your core accountabilities will include:

                                        +
                                        ",,https://careers.telus.com/job/Calgary-Data-Scientist-AB/551960017/,feed-importer@jobboard.io,,,,2021-12-22T16:26:53.323Z,False,0,6,45,https://talenthub.vectorinstitute.ai/jobs/95490091-data-scientist-at-telus,,expired,2021-11-21T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, +ea2b78b1-36f5-401b-9427-04b1905eb234,95490093,TELUS,Data Engineer,on_site,"Ontario, Canada",2021-11-21T07:07:09.389Z,"
                                        +
                                        +

                                        Description

                                        +
                                        +

                                        +

                                        Join our team

                                        +



                                        The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                        +

                                        +

                                        We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                        +

                                        +

                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        +

                                        +

                                        The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                        +

                                        +

                                        Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                        +

                                        +

                                        Here’s how

                                        +

                                          -
                                        • Serve as “Lead” on large strategic projects accountable for the project management, team organization and operational efficiencies
                                        • -
                                        • Work with the business on strategic analytics planning and prioritize key initiatives which will help pivot business opportunities through data & analytics initiatives
                                        • -
                                        • Responsible for stakeholder alignment across channels, operations, compliance, digital, Product, marketing in each initiative/journey
                                        • -
                                        • Create and review presentations for executive leaders and business partners to drive program delivery and provide project updates
                                        • -
                                        • Manage raised issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                        • -
                                        • Own, compile and host the Monthly Operating Results meeting with PBDA leadership team
                                        • -
                                        • Support the model governance manager on Privacy Impact Assessment Reviews
                                        • -
                                        • Support PBDA to build a strong governance culture, documentation repository and to be audit ready
                                        • -
                                        • Own and create process documentation and data flow diagrams for audit reviews
                                        • -
                                        • Support and execute on data access oversight and attestation activities for key tenant spaces
                                        • -
                                        • Support Strategy and Planning, Talent Management and Governance team managers on related adhoc team initiatives.
                                        • +
                                        • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                        • +
                                        • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                        • +
                                        • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                        • +
                                        • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                        • +
                                        • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                        • +
                                        • Support the data pipelines feeding into our machine learning algorithms and models
                                        • +
                                        • Assist the extracting, loading, transforming, cleaning, and validating of data
                                        +

                                        +

                                        -

                                        -

                                        Requirements

                                        -
                                        -Knowledge and Skill Requirements:

                                        -
                                          -
                                        • Proven ability to lead, manage and implement large scale project initiatives while working with multiple stakeholders
                                        • -
                                        • Demonstrated experience of working in a fast-paced work environment through strong communication, organizational, planning and time management skills
                                        • -
                                        • Strong presentation skills with the ability to create concise and compelling story telling for Senior Leadership team (L11+ level audience)
                                        • -
                                        • Demonstrated discretion and due diligence in preparing reports for an executive audience
                                        • -
                                        • Strategic thinker with strong analytical and problem-solving skills
                                        • -
                                        • Self-starter and have ability to anticipate roadblocks and appropriate solutions
                                        • -
                                        • Strong organizational skills, with the ability to excel in a fast-paced environment and run with multiple deadlines and priorities
                                        • -
                                        • Strong leadership and influence, with self-motivated and ability to work under pressure
                                        • -
                                        • Ability to work collaboratively, communicate effectively (written and speaking), provide direction and build relationships across teams and functions
                                        • -
                                        -

                                        Education and Other Qualifications:

                                        +
                                        +
                                        +

                                        Voici comment

                                        +
                                        +

                                          -
                                        • University undergraduate degree or technical certificate in Business Management, Information Technology, Data Management or other quantitative area of study.
                                        • -
                                        • ScrumMaster Certification or PMP certificate
                                        • -
                                        • The candidate must have 5+ years of relevant experience project management, agile practices, financial services and/or Data Analytics.
                                        • -
                                        • Bilingual English / French is an asset
                                        • +
                                        • Concevoir des pipelines de données, fournir l’infrastructure et établir des applications et des services fiables fondés sur les données dans la plateforme Google Cloud
                                        • +
                                        • Analyser les données, créer des modèles et générer des rapports et des visualisations avec Hadoop et l’infrastructure infonuagique
                                        • +
                                        • Intégrer les grands ensembles de données issues de multiples sources aux fins de la modélisation des données
                                        • +
                                        • Cerner et exploiter les occasions d’automatisation dans les processus de développement et de production afin de réduire les tâches manuelles en amont
                                        • +
                                        • Repérer les problèmes de données qui se répercutent sur les indicateurs d’affaires clés et les communiquer aux équipes de gestion des produits
                                        • +
                                        • Entretenir les pipelines de données qui alimentent les algorithmes et les modèles d’apprentissage-machine
                                        • +
                                        • Participer à l’extraction, au chargement, à la transformation, au nettoyage et à la validation des données
                                        +

                                        +

                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14122242/senior-analyst-strategy-planning-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-08T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/90122670-senior-analyst-strategy-planning-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14122242/senior-analyst-strategy-planning-toronto-ca/,expired,2021-10-21T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b64f3627-d8be-4533-802b-9280e7b327ce,90138231,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2021-10-21T20:48:09.778Z,"

                                        What\'s the opportunity?

                                        +
                                        +
                                        +

                                        Qualifications

                                        -

                                        We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                        -

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        -

                                        Your responsibilities include:

                                        +

                                        +

                                        You\'re the missing piece of the puzzle

                                        +

                                          -
                                        • Building machine learning-based software solutions for solving important problems;
                                        • -
                                        • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                        • -
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • -
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • -
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • -
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • -
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        • +
                                        • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                        • +
                                        • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
                                        • +
                                        • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                        • +
                                        • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                        • +
                                        • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                        • +
                                        • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                        • +
                                        • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
                                        -

                                        You\'re our ideal candidate if you:

                                        +

                                        +

                                        Nice-to-haves

                                        +

                                          -
                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • -
                                        • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                        • -
                                        • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                        • -
                                        • Familiarity with the Unix command line and bash scripting;
                                        • -
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • -
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                        • -
                                        • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                        • -
                                        • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                        • +
                                        • GCP Professional Data Engineering certification
                                        • +
                                        • Google Cloud Dataflow and Google BigQuery experience
                                        • +
                                        • DevOps practices and tools experience
                                        • +
                                        • Orchestration and job scheduling platforms experience
                                        +

                                        +

                                        -

                                        What\'s in it for you?

                                        -
                                          -
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • -
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        About Borealis AI

                                        -

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        -

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",,https://www.borealisai.com/en/careers/employment/5022762002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-10-28T16:46:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/90138231-machine-learning-software-engineer-at-borealis-ai,,expired,2021-10-21T20:48:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e506431b-7f5c-4719-a908-75d0fa660bb7,90142417,Accenture,Data Engineering Senior Manager,on_site,"Alberta - Calgary,British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-10-21T22:11:20.929Z,"

                                        Job Description

                                        Data Engineering Sr Manager

                                        -

                                        -

                                        Location: Toronto/ Montreal/Ottawa

                                        -

                                        -

                                        WORK YOU’LL DO

                                        -

                                        -

                                        Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

                                        +
                                        +
                                        ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2021-12-22T16:28:08.032Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/95490093-data-engineer-at-telus,,expired,2021-11-21T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +4b12f1bf-9fbd-4493-947e-b3e68f7391fa,95559191,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-11-22T07:07:07.550Z,"

                                        About the role

                                        +

                                        Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                        +

                                        Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                        -
                                          -
                                        • Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.
                                        • -
                                        • Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers
                                        • -
                                        • Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated
                                        • -
                                        • Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders
                                        • -
                                        • Manage client expectations in terms of overall delivery along with Delivery leads on the ground
                                        • -
                                        • Establish methodology and accelerators to reduce initiation efforts from engagement to engagement
                                        • +

                                        Qualifications

                                          +
                                        • 7-10 years of commercial experience in a data science role solving high impact business problems
                                        • +
                                        • You have well built technical experience that inspires individual contributors creativity and innovation.
                                        • +
                                        • You have experience with product leadership and technical decision making.
                                        • +
                                        • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                        • +
                                        • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                        • +
                                        • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                        • +
                                        • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                        • +
                                        • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                        +

                                        What would be great if you have:

                                          -
                                        • Develop an overarching and compelling sales narrative around the offering
                                        • -
                                        • Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise
                                        • -
                                        • Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture
                                        • -
                                        • Bilingual French an asset
                                        • +
                                        • Previous experience using Spark.
                                        • +
                                        • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                        • +
                                        • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                        +

                                        +
                                        +
                                        +
                                        +

                                        All your information will be kept confidential according to EEO guidelines.

                                        +

                                        If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                        +

                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                        +

                                        #LI-REMOTE

                                        How we hire

                                        At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                        Learn more about our hiring process +
                                        +
                                        +
                                        +
                                        ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2021-11-22T16:46:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/95559191-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2021-11-22T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +efc1de54-8d3c-4365-9266-3b0fa6be975d,95610057,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-11-23T07:07:18.731Z,"

                                        About the role

                                        +

                                        Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                        +

                                        Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                        -

                                        JOB DESCRIPTION

                                        -

                                        -

                                        Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

                                        -
                                        Show more
                                        -


                                        -

                                        Qualifications

                                        -

                                        Basic Qualifications

                                        -

                                        -
                                          -
                                        • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                        • -
                                        • Minimum 5+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

                                        • -
                                        • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                        • -
                                        • Minimum 5+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                        • -
                                        • Minimum 5++ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                        • -
                                        • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                        • +

                                        Qualifications

                                          +
                                        • 7-10 years of commercial experience in a data science role solving high impact business problems
                                        • +
                                        • You have well built technical experience that inspires individual contributors creativity and innovation.
                                        • +
                                        • You have experience with product leadership and technical decision making.
                                        • +
                                        • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                        • +
                                        • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                        • +
                                        • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                        • +
                                        • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                        • +
                                        • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                        -

                                        -

                                        Preferred Skills

                                        -

                                        -

                                        Minimum 4+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

                                        -

                                        Minimum 4+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

                                        -

                                        Minimum 5+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

                                        -

                                        Minimum 4+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

                                        -

                                        Minimum 4+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

                                        -

                                        Minimum 4+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

                                        -
                                        -

                                        Locations

                                        Alberta - Calgary,British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                        -
                                        -
                                        -

                                        Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                        -
                                        -

                                        Equal Employment Opportunity Statement

                                        -

                                        All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                        -

                                        Accenture is committed to providing veteran employment opportunities to our service men and women.

                                        -

                                        Requesting An Accommodation

                                        -

                                        Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                        -

                                        If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                        -

                                        Other Employment Statements

                                        -

                                        Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                        -

                                        The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                        ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00052568_en&title=Data+Engineering+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-10-25T20:51:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/90142417-data-engineering-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00052568_en&title=Data+Engineering+Senior+Manager,expired,2021-10-21T22:11:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -8cdf3a16-54c4-48b0-8877-bd2ca1bbaf02,90231616,Scotiabank,Data & Analytics New Graduate Rotational Program - 2022,on_site,Canada : Ontario : Toronto,2021-10-22T04:46:24.556Z,"

                                        -

                                        -

                                        -

                                        -

                                        Requisition ID: 128381

                                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                        -

                                        -

                                        -

                                        Data & Analytics Rotational New Graduate Program

                                        -

                                        Start Date: June 2022

                                        -

                                        Location: Toronto, Ontario

                                        -

                                        -

                                        What can I expect from the program?

                                        -

                                        The Data & Analytics program is a 24-month rotational program that is designed to introduce recent grads to different parts of Scotiabank’s Analytics & Innovation and Data Office business lines. You will begin your journey by gaining a solid understanding of the Bank and will work closely with our program manager to customize your experience based on your technical skills, interest and our business needs. Depending on your passion you will get a deep dive in data engineering, data science, data analytics technical architecture and business. This program is not for the faint of heart, as our goal is to provide you with 5 years of training & work experience within an intense (and incredibly fun) 24 months.

                                        -

                                        Throughout the 24 months you will get to work in our offices across the GTA (this includes Scarborough and downtown Toronto). We are looking for individuals who don’t believe in geographical barriers and are willing to travel.

                                        -

                                        After successfully completing the program you will graduate into a role where you will be responsible for driving change and innovation for our customers and ultimately the world.

                                        -

                                        -

                                        I am?

                                        -

                                        You are graduating in April 2022 or are a recent grad who dreams in code, and gets excited by continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions, and tinkering with new and old technologies. You thrive in a fast-paced ever-changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                        -

                                        You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You speak Spanish, or have the willingness to learn. You are not afraid to roll up your sleeves to get things done!

                                        -

                                        More specifically, you have some or all of the following:

                                        -
                                        • Strong technical skills with Python, Java, or Scala
                                        • Solid knowledge of SQL
                                        • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                        • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                        • +

                                          What would be great if you have:

                                          +
                                            +
                                          • Previous experience using Spark.
                                          • +
                                          • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                          • +
                                          • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                          -

                                          -

                                          How do I apply?

                                          -

                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                          -

                                          -

                                          1) Complete your PLUM Profile here

                                          -

                                          2) Take a screenshot of your completed PLUM profile.

                                          -

                                          3) Complete a very short one-way video interview by clicking here. If you have already completed the one-way video interview for this job, you do not need to complete it again.

                                          -

                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                          -

                                          -

                                          Location(s): Canada : Ontario : Toronto

                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Data-&-Analytics-New-Graduate-Rotational-Program-2022-ON/551574817/,feed-importer@jobboard.io,,,,2021-10-29T04:51:07.819Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/90231616-data-analytics-new-graduate-rotational-program-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-&-Analytics-New-Graduate-Rotational-Program-2022-ON/551574817/,expired,2021-10-22T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -709a72a0-5b50-43b2-a68b-ef6aa6e875ee,90710468,Sun Life Financial,"Lead Data Scientist/ Director, Data Science",on_site,"Ontario, Canada",2021-10-25T06:32:03.594Z,"
                                        -
                                        -
                                        -

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        -

                                        -

                                        -

                                        Job Description:

                                        -

                                        -

                                        Role Summary

                                        -

                                        -

                                        As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                        -

                                        -

                                        Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                        -

                                        -

                                        The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                        -

                                        -

                                        What will you do?

                                        -
                                          -
                                        • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                        • -
                                        • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                        • -
                                        • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                        • -
                                        • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                        • -
                                        • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                        • -
                                        -

                                        -

                                        What do you need to succeed?

                                        -
                                          -
                                        • Genuine interest in life insurance and learning the business

                                        • -
                                        • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                        • -
                                        • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                        • -
                                        • 3+ years experience leading data science projects

                                        • -
                                        • 3+ years experience in managing and leading a small team of data scientists

                                        • -
                                        • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                        • -
                                        • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                        • -
                                        -

                                        -

                                        What will be nice to have?

                                        -
                                          -
                                        • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                        • -
                                        • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                        • -
                                        • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                        • -
                                        • Experience with data analytics and data visualization best practices

                                        • -
                                        -

                                        -

                                        What’s in it for you?

                                        -
                                          -
                                        • Competitive salary and bonus structure influenced by market range data

                                        • -
                                        • 20 days vacation per year and an innovative sabbatical program

                                        • -
                                        • A friendly, collaborative and inclusive culture

                                        • -
                                        • Being part of our Analytics community, where we share best practices and broaden skill sets

                                        • -
                                        • Flexible Benefits from the day you join to meet the needs of you and your family

                                        • -
                                        • Pension, stock and savings programs to help build and enhance your future financial security

                                        • -
                                        • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                        • -
                                        -

                                        -

                                        -

                                        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        -

                                        -

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        -

                                        -

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        -

                                        -

                                        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                        -

                                        -

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        -

                                        -

                                        Salary Range:

                                        104,000/104 000 - 171,700/171 700

                                        -

                                        Job Category:

                                        Advanced Analytics

                                        -

                                        Posting End Date:

                                        07/11/2021
                                        -
                                        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-08T06:37:01.820Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/90710468-lead-data-scientist-director-data-science-at-sun-life-financial,,expired,2021-10-25T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -6875b929-d4b8-484e-b510-1e12df9f8768,90804264,RBC,Data Analyst - Winter 2022 (8 Month term),on_site,"Toronto, Ontario, Canada",2021-10-26T02:39:15.532Z,"
                                        -

                                        What is the opportunity?

                                        -

                                        RBC is hiring for an exciting Data Analyst (Co-op), Customer Relationship Management (CRM) Data Enablement & Reporting role. In this role you will report into the Senior Manager, CRM Data Enablement & Reporting and collaborate with Channel partners and Marketing leads across Personal and Commercial Banking platforms to help drive business decisions by assisting in the development of self-serve reporting solutions.

                                        -

                                        -

                                        What will you do?

                                        -

                                        - Develop CRM and campaign reports using tools such as SAS and Tableau required for Canadian Banking and Insurance to meet business and financial imperatives

                                        -

                                        - Participate in requirement and campaign design meetings to identify success criteria and Key Performance Indicators (KPIs) for measurement

                                        -

                                        - Work with CRM Data Enablement & Reporting team members on report automation and streamline existing reporting processes

                                        -

                                        - Explore and integrate online marketing data via tools such as Starburst Trino to new and existing campaign reports to measure effectiveness of RBC’s online and mobile channels.

                                        -

                                        - Collaborate with key stakeholders to ensure reporting is developed accurately and on time

                                        -

                                        - Regular maintenance of web based report repository to ensure report and dashboard links are updated and new contents are uploaded

                                        -

                                        -

                                        What do you need to succeed?

                                        -

                                        -

                                        Must-have:

                                        -

                                        - Working towards a degree in a quantitative discipline (e.g. Computer Science/Math/Statistics)

                                        -

                                        - Experience with data visualization tools such as Tableau or Google Data Studio

                                        -

                                        - Technical knowledge on SQL or SAS (Base SAS 9.4/Enterprise Guide/SAS Studio)

                                        -

                                        - Strong business acumen and analytical, communication and presentation skills

                                        -

                                        - Exceptional problem solving skills and ability to conceptualize strategy

                                        -

                                        - Attention to detail, organization, ability to multi task and time management is critical

                                        -

                                        -

                                        Nice-to-have:

                                        -

                                        - Relevant experience in marketing or financial reporting

                                        -

                                        - Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management

                                        -

                                        -

                                        What’s in it for you?

                                        -

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        -

                                        - Work in a dynamic, collaborative, progressive and high performing culture

                                        -

                                        - Leaders who support your development through coaching and managing opportunities

                                        -

                                        - Opportunities to do challenging work

                                        -

                                        -

                                        HO2022

                                        -

                                        About RBC
                                        Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries.. For more information, please visit rbc.com.

                                        -

                                        Inclusion and Equal Opportunity Employment
                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        -


                                        JOB SUMMARY

                                        -

                                        City: [[Toronto]]
                                        Address: [[88 Queens Quay West]]
                                        Work Hours/Week: [[37.5]]
                                        Work Environment: [[Office]]
                                        Career Level: [[Student Job]]
                                        Position Level: [[PL10]]
                                        Application Deadline: [[January 20, 2018]]
                                        Req ID: [[153322]]

                                        -

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/411756/Data-Analyst-Winter-2022-8-Month-term,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-01T18:00:00.000Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/90804264-data-analyst-winter-2022-8-month-term-at-rbc,https://jobs.rbc.com/ca/en/job/411756/Data-Analyst-Winter-2022-8-Month-term,expired,2021-10-26T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -709b2d0b-11a4-41fc-979b-8f3c7efa799f,91201021,TD Bank Group,Data Management Specialist,on_site,"Toronto, ON",2021-10-28T19:51:02.614Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -

                                        -

                                        Department Overview

                                        -
                                        -

                                        Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                        -

                                        We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                        -

                                        If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                        -

                                        Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

                                        -

                                        As a Business Information Management Specialist, you will:

                                        +
                                        +

                                        All your information will be kept confidential according to EEO guidelines.

                                        +

                                        If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                        +

                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                        +

                                        #LI-REMOTE

                                        How we hire

                                        At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                        Learn more about our hiring process +
                                        +
                                        +
                                        +
                                        ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2021-12-25T20:32:38.060Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/95610057-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2021-11-23T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +5265a7b7-a7ac-4e37-a780-05dec21ba3d3,95804013,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2021-11-24T20:49:04.082Z,"
                                        +

                                        What\'s the opportunity?

                                        +

                                        As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                        +

                                        +

                                        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                        +
                                        +
                                        +

                                        Your responsibilities include:

                                        +
                                          +
                                        • Developing novel AI solutions that facilitate impactful products;
                                        • +
                                        • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                        • +
                                        • Working with the development team to transfer research work into production;
                                        • +
                                        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                        • +
                                        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                        • +
                                        +
                                        +
                                        +

                                        You’re our ideal candidate if you have:

                                        +
                                          +
                                        • A passion for solving open problems using data and algorithms;
                                        • +
                                        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                        • +
                                        • Ability to formulate and drive a research project independently without close supervision;
                                        • +
                                        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                        • +
                                        +
                                        +
                                        +

                                        What’s in it for you?

                                        +
                                        +
                                          +
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • +
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • +
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • +
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • +
                                        +

                                        About Borealis AI

                                        +
                                        +
                                        +

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        +

                                        Inclusion and Equal Opportunity Employment

                                        +

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        +

                                        ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-12-25T20:34:36.064Z,False,0,6,40,https://talenthub.vectorinstitute.ai/jobs/95804013-machine-learning-researcher-at-borealis-ai,,expired,2021-11-24T20:49:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +92517bfa-6013-4467-b7b7-4a1795f7451c,95864255,Sun Life Financial,Business Data Engineer,on_site,"Ontario, Canada",2021-11-25T06:34:01.924Z,"
                                        +
                                        +
                                        +

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        +

                                        +

                                        +

                                        Job Description:

                                        +

                                        At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                        +

                                        +

                                        Role Summary:

                                        +

                                        +

                                        The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                        +

                                        +

                                        Reporting to the Director of CXO Data Science, the Business Data Engineer will be a key member of Canadian Analytics CoE responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behaviour and optimizing areas of our sales cycles.

                                        +

                                        +

                                        What will you do?

                                          -
                                        • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
                                        • -
                                        • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                        • -
                                        • Develop business requirements; design and implement complex business data information management frameworks
                                        • -
                                        • Apply automation and innovation on data platforms and on new development projects / initiatives
                                        • -
                                        • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                        • -
                                        • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                        • -
                                        • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                        • +
                                        • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                        • +
                                        • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                        • +
                                        • Ensure high level of data quality and data integrity are maintained across data sources for business

                                        • +
                                        • Convert complex business and technical rules into logic for data flows and data pipelines

                                        • +
                                        • Work with our Data Science teams to implement Machine Learning pipelines

                                        • +
                                        • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                        • +
                                        • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                        -
                                        -

                                        -

                                        Requirements

                                        -
                                        -

                                        What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        +

                                        +

                                        What do you need to succeed?

                                          -
                                        • Undergraduate degree or technical certificate
                                        • -
                                        • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                        • -
                                        • Sound conceptual knowledge in your area of specialty
                                        • -
                                        • Fluent multiple programming languages
                                        • -
                                        • Expert level analytical and problem-solving skills
                                        • -
                                        • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                        • -
                                        • In-depth knowledge of competitor and market trends
                                        • -
                                        • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                        • -
                                        • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                        • -
                                        • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
                                        • -
                                        • Act as a brand champion for our business area / function and TD, both internally and externally
                                        • +
                                        • 3-5 years experience with engineering data products as input to various analytical models

                                        • +
                                        • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                        • +
                                        • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                        • +
                                        • Demonstrate expertise in dimensional data modelling and passion for analytics

                                        • +
                                        • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                        • +
                                        • Intermediate- to expert-level programmatic expertise working with distributed (Hadoop, AWS) platforms

                                        • +
                                        • Ability to translate complex business requirements into a set of data ingestion pseudocode, schema-on-read topologies and/or dimensional models that are necessary inputs to data engineering exercises

                                        • +
                                        • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products

                                        • +
                                        • Familiarity with programming in Python, Scala, Java or equivalent

                                        • +
                                        • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                        • +
                                        • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                        -
                                        -

                                        -

                                        Additional Information

                                        -
                                        -
                                        Must Have:
                                        -
                                          -
                                        • 4 years of ETL experience
                                        • -
                                        • 4 years of data modeling and SQL
                                        • +

                                          +

                                          Education and Qualifications:

                                          +
                                            +
                                          • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                          • +
                                          • Graduate degree in business or quantitative science strongly preferred

                                          • +
                                          • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL, Apache Spark, AWS Glue, etc.

                                          • +
                                          • 5 years hands-on experience with relational database systems, data warehouses, dimensional models etc.

                                          -

                                          Nice to Have:

                                          -
                                            -
                                          • Experience working in Python
                                          • -
                                          • Big Data and Cloud Data
                                          • -
                                          • Azure, Spark and Hive working experience
                                          • +

                                            +

                                            What would be nice to have?

                                            +
                                              +
                                            • Experience working in a large financial services organization

                                            • +
                                            • Knowledge of fundamental statistical models & techniques

                                            • +
                                            • Proven experience working in an agile pod (Scrum, Kanban, etc.)

                                            -
                                            #dataengineer
                                            -
                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-08T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/91201021-data-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,expired,2021-10-28T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -4b5eb650-7e01-47cb-8c0a-322ee8979e9a,99185339,Deloitte,"Manager, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-12-16T02:43:08.006Z,"
                                        -

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        -

                                        Partner with clients to solve their most complex business problems
                                        Be encouraged to deepen your technical skills…whatever those may be
                                        Lead projects and teams to make an impact that matters

                                        -
                                        +

                                        +

                                        What is in it for you?

                                        +
                                          +
                                        • Competitive salary and bonus structure influenced by market range data

                                        • +
                                        • Entitlement to flexible benefits and vacation

                                        • +
                                        • A friendly, collaborative and inclusive culture

                                        • +
                                        +

                                        +

                                        +

                                        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        +

                                        +

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        +

                                        +

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        +

                                        +

                                        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                        +

                                        +

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        +

                                        +

                                        Salary Range:

                                        68,400/68 400 - 111,700/111 700

                                        +

                                        Job Category:

                                        Advanced Analytics

                                        +

                                        Posting End Date:

                                        03/12/2021
                                        +
                                        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00050901?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-12-06T06:54:06.836Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/95864255-business-data-engineer-at-sun-life-financial,,expired,2021-11-25T06:34:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0c3952e6-d6d5-4ea2-b6d7-9963a4ee69ab,96197709,Deloitte,"Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-11-28T02:43:05.101Z,"

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        +

                                        +

                                        Learn from deep subject matter experts through mentoring and on the job coaching
                                        Partner with clients to solve their most complex problems
                                        Be empowered to lead and have impact with clients, our communities and in the office.

                                        -

                                        -

                                        Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                        +

                                        +

                                        Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                        What will your typical day look like?

                                        -

                                        As a Manager, AI Strategy, you will assume full life cycle responsibility to lead and manage client engagements and lead and AI Strategy services engagements (projects) within your focus area to deliver best-of-breed solutions for clients’ business problems. The role includes leading a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                        +

                                        As a Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                        In this role, you will :

                                        -
                                        • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                        • Contribute knowledge of foundational capabilities required to enable AI such data governance/management
                                        • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                        • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision.
                                        • Nurture client relationships, coach and monitor Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm
                                        • +
                                          • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                          • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                          • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                          • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                        @@ -3513,16 +4153,16 @@ e506431b-7f5c-4719-a908-75d0fa660bb7,90142417,Accenture,Data Engineering Senior

                                        About the team

                                        Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                        -

                                        Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                        +

                                        Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                        Enough about us, let’s talk about you

                                        You are someone with:

                                        -
                                        • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                        • 5+ years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                        • Strong experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                        • Strong experience with Data & Analytics agile project management end-to-end, including planning & budgeting, resourcing and delivery
                                        • Experience with enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                        • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                        • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                        • Master of Business Administration or Masters of Management in Analytics is preferred
                                        • +
                                          • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                          • 1+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                          • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                          • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                          • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                          • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                          -


                                          If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.

                                          +


                                          If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                        @@ -3536,97 +4176,304 @@ e506431b-7f5c-4719-a908-75d0fa660bb7,90142417,Accenture,Data Engineering Senior


                                        The next step is yours

                                        Sound like The One Firm. For You?

                                        -

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        +

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        -

                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                        ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-31T02:48:06.938Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/99185339-manager-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,expired,2021-12-16T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, -5fe4a8fe-eda7-4f58-9b67-a1d1841943ff,94638334,RBC,Senior Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-11-16T02:40:11.079Z,"
                                        -

                                        What is the opportunity?

                                        -

                                        The Senior Data Engineer is an individual contributor responsible for optimizing our data infrastructure and delivering data and reporting solutions, business intelligence and visualization. This role requires a high degree of knowledge across RBC Insurance’s lines of business, systems and data platforms. The role leverages its technical skills to partner with IT and the business line(s) to assess, research, analyze and develop business, technical and system data solutions ranging in small to highly complex in nature.

                                        -

                                        -

                                        What will you do?

                                        -

                                        • Responsible for the design, development and management of data dashboards requests of medium to high complexity, ensuring timely and accurate responses to each request within acceptable time service standards by the business. (e.g. combining multiple source systems, writing unique or new code, discovering creative ways to deliver on business requirements)

                                        -

                                        • Advise stakeholders and business partners on the use and interpretation of custom built reports to highlight business intelligence.

                                        -

                                        • Identify opportunities for technical and process improvements for our systems that will increase application resiliency, improve data integrity and increase process efficiency

                                        -

                                        • Investigate and resolve application issues relating to environments or batch jobs, and supports Production and non-Prod implementations through code deployments

                                        -

                                        -

                                        What will you need to be successful?

                                        -

                                        Must have

                                        -

                                        • Minimum undergraduate degree in Statistics/Mathematics, Finance, Computer Science, or a discipline that develops capability in data analytics and reporting

                                        -

                                        • Minimum 2 years’ experience working with financial/insurance products/services and corresponding data

                                        -

                                        • Solid working experience with very large relational databases and large volumes of data of various formats

                                        -

                                        • Advanced SAS, SQL programming demonstrating the use of efficient querying/datamining techniques

                                        -

                                        -

                                        Nice to have

                                        -

                                        • Solid working experience with MS Office Professional Suite with emphasis on Visual Basic or Visual Basic for Applications

                                        -

                                        • Knowledge of statistical procedures and applied data validation mechanisms

                                        -

                                        • Strong knowledge of Dashboard Reporting methodology

                                        -

                                        • Solid knowledge of Unix/AIX v5, Teradata

                                        -

                                        • Experience with Tableau, Hadoop, Python

                                        -

                                        -

                                        What's in it for you?

                                        -

                                        • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans

                                        -

                                        • Competitive pay and high-earning potential

                                        -

                                        • All the tools, training, and team support you need to grow your career

                                        -

                                        • Flexible work/life balance options

                                        -

                                        • Sophisticated RBCI software tools to boost your productivity

                                        -

                                        -

                                        -

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Mississauga
                                        Address: 6880 Financial Dr.
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salaried
                                        Required Travel (%): 0
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 11/16/2021
                                        Platform: Insurance

                                        Req ID: 427477
                                        Ad Code(s):

                                        -

                                        +

                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                        ",,https://careers.deloitte.ca/job/Toronto-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/805181400/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-29T16:53:51.030Z,False,0,10,41,https://talenthub.vectorinstitute.ai/jobs/96197709-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/805181400/,expired,2021-11-28T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +8ff87ee5-d3f2-4253-88a7-78d49ec45deb,100083178,Loblaw Companies Ltd.,Senior Business & Customer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-20T17:55:04.886Z,"
                                        +
                                        +
                                        +

                                        Referred applicants should not apply directly to this role.

                                        +

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        +

                                        +

                                        +

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        +

                                        +

                                        Inspired by food? Committed to excellent service? So are we.
                                        At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                        We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                        Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                        +

                                        +

                                        Why is this role important?

                                        +

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                        +

                                        We are hiring a Sr. Analyst, Business & Customer Insights

                                        +

                                        Reporting to the Director, Business & Customer Insights, the Sr. Analyst will be responsible for providing objective, value-added analysis and recommendations to facilitate discussions & decisions related to high profile loyalty initiatives. The Sr. Analyst will work with various stakeholders in the business on analytics and insights, reporting and measurement, to help the business in making key decisions and driving the PC Optimum strategy and program execution

                                        +

                                        What You'll Do:

                                        +
                                          +
                                        • Work with various business stakeholders on requests and questions into analytical problems. Requests can be strategic or tactical in nature, including but not limited to targeting, segmentation, list generation and automation, development of dashboards, reports, measurement, and data modeling
                                        • +
                                        • Responsible for the extraction, review, and preparation of complex operational and customer behavior information from a variety of databases (SQL, GCP, etc).
                                        • +
                                        • Use Cloud based Python/Scala environment to process big data, conduct analysis, and visualizing the results.
                                        • +
                                        • Generate meaningful insights to solve business problems, identify new opportunities and drive strategy.
                                        • +
                                        • Build presentations to clearly articulate insights, while simplifying complex data and processes for various levels of audiences including senior management
                                        • +
                                        • Work collaboratively with business partners in marketing, digital, loyalty strategy, technology, and divisional teams
                                        • +
                                        +
                                        • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value-added recommendations
                                        +

                                        What You'll Need:

                                        +
                                          +
                                        • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                        • +
                                        • 3-5 years related work experience in an analytical role. Experience ideally in Retail, Loyalty, CPG industry, Consumer Finance, Telecommunications, or Consulting
                                        • +
                                        • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). Advanced SQL is mandatory.
                                        • +
                                        • Experience with cloud platforms (i.e. GCP and Azure) is an asset
                                        • +
                                        • Experience with visualization tool (i.e. Tableau, PowerBI and etc) is an asset
                                        • +
                                        • Ability to synthesize large amounts of data into actionable insights
                                        • +
                                        • Strong ability to build presentations and present complex ideas in a clear, articulate way
                                        • +
                                        • Strong interpersonal skills and comfortable proactively leading discussions and collaborating with cross functional teams
                                        • +
                                        • Demonstrate strong business acumen – understanding of how data/insights translates into business value
                                        • +
                                        • Advanced skills in Microsoft Office suite (Excel, Powerpoint)
                                        • +
                                        • Strong attention to detail
                                        • +
                                        • Creativity for thinking of new ideas, with a strong curiosity and willingness to ask questions
                                        • +
                                        +

                                        +

                                        COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                        +

                                        +

                                        In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                        +

                                        +

                                        +

                                        +

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        +

                                        +

                                        +

                                        +

                                        Employment Type:

                                        Full time

                                        +

                                        +

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                        +

                                        +

                                        Please Note:  
                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                        +
                                        +
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-12-23T18:00:07.367Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/100083178-senior-business-customer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196,expired,2021-12-20T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +78ac1a56-cc75-484b-8937-76fed3ff0f25,100381440,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-12-23T07:19:04.070Z,"
                                        +
                                        +
                                        +

                                        Why join us?

                                        +

                                        +

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        +

                                        +

                                        +

                                        +

                                        +

                                        OMERS Products and Technology is looking for Cloud Data Engineer passionate about all sides of data analytics and eager to build a data platform for our pension Data engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights; transforming, modelling, processing and extracting value from datasets.

                                        +


                                        As a member of this team, you will be responsible for:

                                        +
                                          +
                                        • Develop and maintain data pipelines
                                        • +
                                        • Design and implement ETL processes
                                        • +
                                        • Hands on experience on Data Modeling – Design conceptual, logical and physical data; experience with Kimball methodology (Data Vault methodology knowledge is a plus)
                                        • +
                                        • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
                                        • +
                                        • Knowledge to move the ETL code base from On-premise to Cloud Architecture
                                        • +
                                        • Understanding data lineage and governance for different data sources
                                        • +
                                        • Maintaining clean and consistent access to all our data sources
                                        • +
                                        • Hands on experience to deploy the code using CI/CD pipelines
                                        • +
                                        • Assemble large and complex data sets strategically to meet business requirements
                                        • +
                                        • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                        • +
                                        +

                                        +

                                        To succeed in this role, you have:

                                        +
                                          +
                                        • Experience with data platform cloud technologies for creating data pipeline (preference Azure Data Factory, Azure Data Lake, Azure SQL Server, PowerBI)
                                        • +
                                        • Experience doing semantic data modeling and publish datasets accordingly
                                        • +
                                        • Understanding security rules and roles in projects, workspaces in PowerBI
                                        • +
                                        • Possess in-depth understanding of SQL, database management systems and ETL (Extract, transform, load) frameworks
                                        • +
                                        • Experience with SSIS, Informatica ETL, data modelling, data warehousing, and business intelligence architecture
                                        • +
                                        • Knowledge of programming, scripting (e.g. SQL, PowerShell, Python, C#, Power Query, DAX
                                        • +
                                        • Working experience with Visual Studio, PowerShell Scripting, and ARM templates
                                        • +
                                        • Proven track record of learning new technologies quickly
                                        • +
                                        • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                        • +
                                        • Experience building data visualizations, preferably Power BI
                                        • +
                                        • 10 years of experience working with data
                                        • +
                                        +

                                        +

                                        +

                                        +

                                        +

                                        Our story:

                                        +

                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        +

                                        +

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                        +

                                        +

                                        +

                                        Vaccination Policy

                                        +

                                        +

                                        At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                        +
                                        +
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-2055,feed-importer@jobboard.io,,,,2022-01-03T07:24:04.525Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/100381440-data-engineer-at-omers,,expired,2021-12-23T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f8cabeb6-7880-43a5-9824-21f6dcf5e4e8,98384900,TD Bank Group,"Senior Business Insights Analyst, Analytics & Reporting, TD Wealth",on_site,"Toronto, ON",2021-12-09T20:32:02.386Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +
                                        +

                                        +

                                        Department Overview

                                        +

                                        The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.

                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        The Senior Business Insights Analyst will join the Risk and Compliance POD and be accountable for partnering with stakeholders and delivering timely, meaningful analytics solution, to support managing risk and ensuring regulatory and policy compliance. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                        +

                                        Primary Responsibilities

                                        +
                                          +
                                        • Work closely with business stakeholders to understand business objectives and requirements, and design and execute on the analytical solutions in an accurate and timely fashion
                                        • +
                                        • Work agilely with various sources of data using SQL, Python, PySpark and other open source languages using multiple tools to generate analysis and reporting
                                        • +
                                        • Develop insightful, functional and appealing visualization via Tableau dashboard to facilitate self-serve insights generation and actioning
                                        • +
                                        • Become a data and subject matter expert to become a valuable and strategic partner who can provide thought leadership
                                        • +
                                        • Provide proactive value-added insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                        • +
                                        • Project manage and communicate with stakeholders and partners to deliver on milestones and to manage timelines and SLA
                                        • +
                                        • Manage partner inquiries, problem resolution, providing updates and communication including presentation and training as necessary
                                        • +
                                        • Actively contribute to enhancing the team’s foundational and scalable processes and best practices for data extraction, manipulation, archiving, provision of insights, team de-risking needs and reporting development techniques
                                        • +
                                        • Work effectively and efficiently in a fast paced, challenging data and technology environment that leverages multiple databases and tools
                                        • +
                                        • Work individually or as a team leveraging each other’s knowledge and expertise
                                        • +
                                        • +Contribute to a positive team dynamics including collaboration, sharing best practices and making it a great place to work
                                        • +
                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                        +Qualifications/Skills/Experience:

                                        +
                                          +
                                        • Over 5 years of relevant experience in business strategy, reporting, analysis and insights preferably in the Financial Services industry
                                        • +
                                        • Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                        • +
                                        • Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                        • +
                                        • Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                        • +
                                        • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                        • +
                                        • Disciplined with a proven track record of delivering results and executing with excellence
                                        • +
                                        • Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                        • +
                                        +

                                        Education

                                        +
                                        • Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                        +

                                        Technical Knowledge/Skills

                                        +
                                          +
                                        • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                        • +
                                        • Experience with creating complex Tableau dashboards considered an asset
                                        • +

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/427477/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-18T16:24:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/94638334-senior-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/427477/Senior-Data-Engineer,expired,2021-11-16T02:40:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3fe3d1b2-0fa7-4e02-9a89-ab917e3888dc,94648013,Intact Financial Corporation,"Data Engineering Developer, Intact Lab",on_site,"Toronto, ON, Canada",2021-11-16T04:46:23.878Z,"
                                        -

                                        Who needs insurance? Everybody. That keeps us busy. Very busy.

                                        At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                        Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                        Here, innovation is everyone's job. Ready to make your mark?


                                        -
                                        About the role
                                        -

                                        Hiring Manager: Ionut Calacean

                                        Data is the most important asset in today’s competitive world. We are the Data and Analytics department of the largest P&C insurer in Canada. Our mission is: “Accelerate our data advantage by bringing to user analytical data ready to be consumed, at a proper level of trust and security”.

                                        Our team is using modern concepts, tools and technologies for data ingestion, acquisition and data consumption and work with Agile framework. We are structured into small, highly productive squads and working very close with the Data Lab team composed of Actuaries and Data Scientists.

                                        You dream of exciting challenges? Join our team as a Data Engineering Developer and contribute to the planning and execution of data pipelines for various machine learning projects.

                                        You will:

                                        • Design, implement, and maintain large-scale batch and real-time scalable data pipelines with complex data transformations;
                                        • Perform data wrangling to transform and map data from raw data forms into formats more appropriate and valuable for analytics;
                                        • Write and optimize complex queries on large data sets;
                                        • Assemble large, complex data sets that meet functional / non-functional business requirements;
                                        • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs;
                                        • Experience working with business teams to translate functional requirements into technical requirements;
                                        • Conduct business and functional requirements gathering and provide projects estimates;
                                        • Experience supporting and working with cross-functional teams in a dynamic environment;
                                        • Develops workflows and tools that automate data loading processes and help ensure data quality and integrity.

                                        -
                                        Qualifications
                                        -

                                        You are:

                                        • Motivated and autonomous, you love learning and applying new technologies to solve complex problems;
                                        • Eager to understand how the business works and how your work impacts the business;
                                        • Comfortable working in complex environments and multidisciplinary teams;
                                        • Fast learner, versatile and a good team player;
                                        • Excellent communicator with good analytical skills.

                                        You have:

                                        • A bachelor’s degree in computer science, Software Engineering or equivalent;
                                        • Minimum of 5 years of experience in data analysis (ingestion and consumption);
                                        • Hands-on experience with leading commercial Cloud platforms, including AWS and Azure;
                                        • Excellent Python and PySpark skills;
                                        • Strong experience with Apache Spark (Databricks or similar), Kafka and NiFi;
                                        • Hands-on experience with Snowflake or Redshift, or similar cloud storage technologies;
                                        • Hands on experience with Hadoop distributions (Cloudera, Hortonworks) and Hive;
                                        • Strong experience with relational SQL and NoSQL databases like PostgreSQL, Oracle, Cassandra, Mongo DB;
                                        • Experience with ElasticSearch and Kibana is a big plus;
                                        • Experience with Alation and/or other data catalog tools (Azure, Informatica) is a big plus;
                                        • Experience with Kubernetes, Docker is a big plus;
                                        • Experience with Agile development methodologies;
                                        • Strong presentation, facilitation, verbal and written communication skills, including interpersonal skills.

                                        Here are a few reasons why others have joined our team:

                                        • An award-winning, inspiring workplace that supports its people and recognizes great work
                                        • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                        • Flexibility in how and where you work
                                        • A comprehensive financial rewards program that recognizes your success
                                        • An extensive, flexible benefits package
                                        • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                        • A casual ‘dress for your day’ culture that encourages you to be yourself
                                        • A $350 annual wellness account that promotes an active lifestyle

                                        -
                                        Closing Statement
                                        -

                                        We are an Equal Opportunity Employer

                                        At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                        If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                        Background Checks

                                        As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                        Internal Candidates

                                        For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                        Eligibility to Work in Canada

                                        It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                        -
                                        Referral Bonus
                                        -

                                        This role is eligible for employee referral bonus. #myReferrals3000


                                        -
                                        LinkedIn Sponsored
                                        -

                                        #LI-IT


                                        -
                                        ",,https://careers.intactfc.com/ca/en/job/122369/Data-Engineering-Developer-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-12-10T05:02:14.600Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/94648013-data-engineering-developer-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122369/Data-Engineering-Developer-Intact-Lab,expired,2021-11-16T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e1a23aa9-2699-4bb5-a6f8-0103a7568772,94914525,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-11-18T07:06:03.464Z,"
                                        +
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14265904/senior-business-insights-analyst-analytics-reporting-td-wealth-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-23T14:46:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/98384900-senior-business-insights-analyst-analytics-reporting-td-wealth-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14265904/senior-business-insights-analyst-analytics-reporting-td-wealth-toronto-ca/,expired,2021-12-09T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +617d558e-c829-4b95-bad4-b921b88ff56a,98384903,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2021-12-09T20:32:02.643Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +
                                        +

                                        +

                                        Department Overview

                                        +
                                        +

                                        The Business Banking Data Governance & Analytics group is responsible for the overall management of data requirements for Business Banking, including the development and implementation of a data strategy in line with enterprise standards & policies.

                                        +

                                        The group supports Business Banking operations, product and sales teams in the areas of data engineering, reporting, and analytics.

                                        +

                                        The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer.

                                        +

                                        Reporting to the Manager, Business Intelligence & Reporting, the Senior BI & Reporting Analyst will provide specialized end to end reporting & analytics for Business Banking products and services, including loans, lines of credit, deposits & cash management services.

                                        +
                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        The successful candidate’s accountabilities and responsibilities will include:

                                        +
                                          +
                                        • Create complex and comprehensive BI reporting packages and dashboards and perform data/business analysis using various internal data sources to support the understanding of Business banking customers, business drivers and the financial results.
                                        • +
                                        • Communicate analysis and ideas clearly, concisely and effectively with business partners and internal team.
                                        • +
                                        • Liaise with Business stakeholders to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate delivery.
                                        • +
                                        • Create and maintain detailed documentation on all projects/requests.
                                        • +
                                        • Produce specialized reporting packages, dashboards & scorecards to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision making,
                                        • +
                                        • Lead the implementation of initiatives in support of overall business/function strategy
                                        • +
                                        • Conduct analysis to provide enhanced BI to inform management leadership team
                                        • +
                                        • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                        • +
                                        • Develop meaningful and insightful commentary/insights on new and existing reporting packages.
                                        • +
                                        • Work with business partners to understand business objectives and develop value-added reporting and provide ad-hoc data extracts
                                        • +
                                        • Adopt, implement and effectively evolve report automation standards
                                        • +
                                        +

                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                          +
                                        • Undergrad in a quantitative discipline (Computer Sci, Math, etc)
                                        • +
                                        • 5+ years experience in ETL development, data analysis and working with large volumes of data, ideally within financial services.
                                        • +
                                        • 5+ years Experience in Software engineering Tools such as Python, PySpark, SAS, SQL
                                        • +
                                        • Project and time management skills
                                        • +
                                        • Knowledge of one or more of the TD’s systems would be an asset, e.g. Loans, DAS, CIF, Term and EDW, Akora.
                                        • +
                                        • Experience using visualization tools (e.g. Tableau)
                                        • +
                                        • Analytical thinker with ability to manage multiple projects and meet tight deadlines.
                                        • +
                                        • Well organized, high attention to detail, results-oriented.
                                        • +
                                        • A solid team player, with strong interpersonal skills.
                                        • +
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14344591/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-16T19:54:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/98384903-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14344591/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2021-12-09T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f018fb30-d0b7-4d59-b991-5ba19433314b,98790884,OMERS,"Senior Data Engineer, Global Investments",on_site,"Ontario, Canada",2021-12-13T07:19:04.563Z,"

                                        Why join us?

                                        -

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        +

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        The Senior Data Engineer, Global Investments Technology (GIT) will join a team that leads the delivery of the products and platforms that enable OMERS Global Investments (GI) to analyze opportunities, action investment decisions and optimize the OMERS investment portfolio. GIT works across investment teams including Capital Markets, Infrastructure, Private Equity, Growth Equity and Ventures, and in close collaboration with Finance, Risk & Compliance teams.

                                        As a key member of the Global Investments Technology team, the Senior Data Engineer is instrumental in improving data & analytics capabilities by championing industry best practices and delivering data as a product to support investment decision making.



                                        The Senior Data Engineer will operationalize and maintain data pipelines deployed to the OMERS investment entities and cultivate a business relationship that assists in meeting business demands. The individual must also support and collaborate with data analysts, data scientists and investment professionals and engage in technical support, research and integration as part of 1 or more product team(s).

                                        +

                                        As a member of this team, you will be responsible for:

                                        +

                                        Technical

                                        -

                                        OMERS Products and Technology is looking for Cloud Data Engineer passionate about all sides of data analytics and eager to build a data platform for our pension Data engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights; transforming, modelling, processing and extracting value from datasets.

                                        -


                                        As a member of this team, you will be responsible for:

                                          -
                                        • Develop and maintain data pipelines
                                        • -
                                        • Design and implement ETL processes
                                        • -
                                        • Hands on experience on Data Modeling – Design conceptual, logical and physical data; experience with Kimball methodology (Data Vault methodology knowledge is a plus)
                                        • -
                                        • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
                                        • -
                                        • Knowledge to move the ETL code base from On-premise to Cloud Architecture
                                        • -
                                        • Understanding data lineage and governance for different data sources
                                        • -
                                        • Maintaining clean and consistent access to all our data sources
                                        • -
                                        • Hands on experience to deploy the code using CI/CD pipelines
                                        • -
                                        • Assemble large and complex data sets strategically to meet business requirements
                                        • -
                                        • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                        • +
                                        • Translating requirements into solutions
                                        • +
                                        • Defining and executing technical test plans, performing unit, performance and integration tests and automating regression tests
                                        • +
                                        • Deploying ETL/ELT pipelines to achieve a high level of reliability, scalability and security
                                        • +
                                        • Sourcing, transforming and delivering structured and unstructured assets for analytical use
                                        • +
                                        • Optimizing performance of ETL pipelines and data sources
                                        • +
                                        • Participating in solution build, delivery, support and troubleshooting
                                        • +
                                        • Provisioning and managing Azure resources, including security and cost
                                        • +
                                        • Monitoring pipelines. Improving reliability. Automating audit
                                        -

                                        -

                                        To succeed in this role, you have:

                                        +

                                        Organizational

                                          -
                                        • Experience with data platform cloud technologies for creating data pipeline (preference Azure Data Factory, Azure Data Lake, Azure SQL Server, PowerBI)
                                        • -
                                        • Experience doing semantic data modeling and publish datasets accordingly
                                        • -
                                        • Understanding security rules and roles in projects, workspaces in PowerBI
                                        • -
                                        • Possess in-depth understanding of SQL, database management systems and ETL (Extract, transform, load) frameworks
                                        • -
                                        • Experience with SSIS, Informatica ETL, data modelling, data warehousing, and business intelligence architecture
                                        • -
                                        • Knowledge of programming, scripting (e.g. SQL, PowerShell, Python, C#, Power Query, DAX
                                        • -
                                        • Working experience with Visual Studio, PowerShell Scripting, and ARM templates
                                        • -
                                        • Proven track record of learning new technologies quickly
                                        • -
                                        • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                        • -
                                        • Experience building data visualizations, preferably Power BI
                                        • -
                                        • 10 years of experience working with data
                                        • +
                                        • Operating in an Agile development environment
                                        • +
                                        • Communicating effectively with other engineers and various other partners such as product managers, data & business analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management
                                        • +
                                        • Leading change and communicating impacts to partners and fellow team members
                                        • +
                                        • Identifying, defining and implementing opportunities for improving existing processes
                                        • +
                                        • Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery
                                        • +
                                        • Participating in establishing sound data management practices for the team and the organization
                                        • +
                                        • helping shape and scale the future of our development and production infrastructure
                                        • +
                                        +

                                        Qualifications:

                                        +

                                        Professional

                                        +
                                          +
                                        • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack or equivalent work experience. Financial industry application is preferred.
                                        • +
                                        • A Bachelor’s Degree in a scientific or engineering field of study or equivalent work experience
                                        • +
                                        • Microsoft Data engineer associate level certificate will be considered as an asset
                                        • +
                                        • +Industry Knowledge of best practices. Previous experience in developing and deploying operational procedures, tuning guides and best practices documentation
                                        • +
                                        • +Relationship Building. Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners
                                        • +
                                        • +Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction
                                        • +
                                        • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success
                                        • +
                                        +

                                        Technical

                                        +
                                          +
                                        • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management
                                        • +
                                        • Experience with data architecture, modeling, data warehousing
                                        • +
                                        • Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources:
                                            +
                                          • Azure Data Factory
                                          • +
                                          • Azure Databricks, experience with Scala/Python/Spark
                                          • +
                                          • Azure Functions using C#, PowerShell or Python
                                          • +
                                          • Azure SQL Database or PostgreSQL
                                          • +
                                          • Azure Synapse Analytics
                                          • +
                                          • Azure Cosmos DB
                                          • +
                                          • Azure App Services
                                          • +
                                          • Azure Logic Apps
                                          • +
                                          +
                                        • +
                                        • Proven experience automating CI/CD pipelines using Azure DevOps or equivalent work experience
                                        • +
                                        • Experience with the Microsoft Power Platform is preferred
                                        • +
                                        • Experience with SQL Server Data Tools
                                        • +
                                        • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies

                                        +

                                        Our story
                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging.

                                        +

                                        @@ -3640,577 +4487,180 @@ e1a23aa9-2699-4bb5-a6f8-0103a7568772,94914525,OMERS,Data Engineer,on_site,"Ontar

                                        At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to be fully vaccinated or have an approved exemption before attending OMERS and Oxford premises for work or for participating in in-person work events or work meetings.

                                        -
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-2055,feed-importer@jobboard.io,,,,2021-12-02T07:23:16.909Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/94914525-data-engineer-at-omers,,expired,2021-11-18T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -34572f37-1161-4354-90dc-157314ae6850,99398673,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2021-12-16T20:32:02.454Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -
                                        -

                                        -

                                        Department Overview

                                        -
                                        -

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                        -

                                        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        -
                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        About this Role

                                        -

                                        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                        -

                                        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                        -

                                        As a Senior Business Insights Analyst, you will:

                                        -
                                          -
                                        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                        • -
                                        • Develop analysis to illustrate business trends and identify areas of business opportunities
                                        • -
                                        • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                        • -
                                        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                        • -
                                        • Execute on data requests accurately and within a timely manner
                                        • -
                                        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                        • -
                                        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                        • -
                                        • Provides day-to-day support and delivery of analytics
                                        • -
                                        • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                        • -
                                        • Considered an authority within a given area
                                        • -
                                        • Oversee and/or independently perform tasks from end to end
                                        • -
                                        -

                                        Fraud Management

                                        -
                                          -
                                        • Accountable for fraud loss targets and the customer experience
                                        • -
                                        • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                        • -
                                        • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                        • -
                                        • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                        • -
                                        • Supports case valuation and prioritization to optimize fraud management
                                        • -
                                        • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                        • -
                                        • Provide ad-hoc analysis to support decision-making at the executive level
                                        • -
                                        • Design champion / challenger strategies that lead to ongoing learning and improvement
                                        • -
                                        • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                        • -
                                        • Produce timely diagnostics to identify system, strategy and operational issues
                                        • -
                                        -

                                        Process Support

                                        -
                                        • Participates in defect analysis to identify and remediate coverage gaps
                                        -

                                        Partner Support

                                        -
                                          -
                                        • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                        • -
                                        • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                        • -
                                        • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                        • -
                                        • Support the continuous improvement agenda for our operational partners
                                        • -
                                        • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                        • -
                                        • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                                        • -
                                        -
                                        -

                                        -

                                        Requirements

                                        -
                                        -

                                        What can you bring to TD?

                                        -

                                        -

                                        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        -
                                          -
                                        • Undergraduate degree, preferably from a STEM program
                                        • -
                                        • 2+ years experience in an analytical capacity
                                        • -
                                        • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                        • -
                                        • Demonstrated analytical, modeling and problem solving skills
                                        • -
                                        • Conceptual thinker, ability to wade through data and arrive at conclusions
                                        • -
                                        • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                        • -
                                        • Ability to take initiative and work independently under tight timelines
                                        • -
                                        • Ability to work collaboratively and build relationships
                                        • -
                                        -

                                        Preferable

                                        -
                                          -
                                        • Experience in fraud management is an asset
                                        • -
                                        • Experience using analytical software tools such as SAS, Python, SQL and Excel for data analysis and/or reporting
                                        • -
                                        -
                                        -

                                        -

                                        Additional Information

                                        -
                                        #businessintelligence
                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14558419/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-19T17:28:54.003Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/99398673-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14558419/senior-business-insights-analyst-markham-ca/,expired,2021-12-16T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3a917dc0-72c2-407c-93b9-eec757250fa6,101767657,Scotiabank,Spark - 2022 New Graduate Opportunities,on_site,Canada : Ontario : Toronto,2021-12-31T04:57:13.318Z,"

                                        -

                                        -

                                        -

                                        -

                                        Requisition ID: 136505

                                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                        -

                                        -

                                        Spark

                                        -

                                        New Graduate Opportunities

                                        -

                                        May 2022

                                        -

                                        -

                                        Why work for Scotiabank?
                                        Scotiabank is among the largest banks in the world and is Canada’s most international bank. We are powered by our 90,000 high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together, we are dedicated to helping our 24 million customers become better-off.

                                        -

                                        -

                                        Working in Technology at Scotiabank, you will be part of a global engineering team working on global initiatives to develop safe, reliable, and industry-leading banking experiences for customers around the world. We question the status quo and understand that collaboration, inclusion, problem-solving, and forward thinking will deliver the right solutions for our customers globally. We're a world-class engineering organization that's reinventing banking technology - and we want you to join our global team.

                                        -

                                        -

                                        What can I expect from Spark?

                                        -

                                        -

                                        Spark is about bringing in high-performing technology students into full-time positions in Global Engineering Teams at Scotiabank. Each hire will have the opportunity to build and acquire new skills in technology at a global level to truly spark their career.

                                        -

                                        -

                                        You will:

                                        -
                                        • Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture
                                        • Be part of a challenging and unique opportunity to work in a global engineering team that will accelerate your career at a global level in technology
                                        • Engage in exclusive networking sessions with the Global Engineering Heads and senior leaders
                                        • Have access to a curated learning curriculum focused on developing soft and technical skills
                                        • Receive structured mentorship for a full year
                                        • Be paired with a buddy framework designed to guide you through your onboarding
                                        • Engage in volunteering opportunities and community involvement to expand your network
                                        • -
                                        -

                                        -

                                        As part of this initiative, upon identifying you as a candidate for hire, we will match your skills and interests with available roles. In order for us to place you effectively, you will be asked to pick your top 3 interests from the list below:

                                        -

                                        -
                                        • Software Development
                                        • Testing Automation
                                        • Systems Integration/Support
                                        • Business Analysis / Technical Business Analysis
                                        • Data Analytics
                                        • Project or Product Manager
                                        • -
                                        -

                                        -

                                        -

                                        You are?

                                        -

                                        You are a recent grad or masters student, with studies in Technology, Engineering or Mathematics. You are logical and familiar with a variety of development tools, you dream in code and get excited by continuous integration and deployment. You have a passion for innovation and spend your free time building apps, problem solving and tinkering with new and old technologies. You thrive in a fast paced, ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future. Bilingualism in English and Spanish are an asset.

                                        -

                                        -

                                        How to apply?

                                        -

                                        We believe in evaluating students through relationships over resumes, focusing on learning about who they are and their true potential. Instead of submitting a resume, we ask that as part of your application, you complete the steps below:

                                        -

                                        -

                                        1) Complete your PLUM Profile here

                                        -

                                        2) Take a screenshot of your completed PLUM profile.

                                        -

                                        3) Complete a very short one-way video interview by clicking here

                                        -

                                        4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                        -

                                        -

                                        We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank is are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                        -

                                        -

                                        Location(s): Canada : Ontario : Toronto

                                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Spark-2022-New-Graduate-Opportunities-ON/554084417/,feed-importer@jobboard.io,,,,2022-01-20T17:44:00.000Z,False,0,9,57,https://talenthub.vectorinstitute.ai/jobs/101767657-spark-2022-new-graduate-opportunities-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Spark-2022-New-Graduate-Opportunities-ON/554084417/,expired,2021-12-31T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -e927f6d5-a302-4545-9947-33ff32ebeece,102506309,TD Bank Group,"Global Markets Intern/Co-op, Asset Securitization Database",on_site,"Toronto, ON",2022-01-03T20:33:06.359Z,"
                                        +
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer--Global-Investments_JR-1821,feed-importer@jobboard.io,,,,2022-01-03T07:24:04.525Z,False,0,0,22,https://talenthub.vectorinstitute.ai/jobs/98790884-senior-data-engineer-global-investments-at-omers,,expired,2021-12-13T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +9dcb36ab-c7d2-4a1c-8807-b13ec1ac830c,96914628,TD Bank Group,"Manager, Analytics and Insights (Marketing Campaign Delivery)",on_site,"Toronto, ON",2021-12-02T20:32:06.943Z,"

                                        Company Overview

                                        -

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                        -

                                        Why TD?

                                        -

                                        TD’s Colleague Promise: A better you. A better us.

                                        -

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        Department Overview

                                        -

                                        Asset Securitization Group at TD Securities:
                                        TD Securities is one of Canada‘s most active dealers in Debt and Equity products. Our Sales and Trading business deals with institutional investors, corporations and governments worldwide in the trading and sale of outstanding and new issue products.

                                        -

                                        The Asset Securitization Group (ASG) is responsible for the origination and structuring of securitization products at TD Securities in asset classes ranging from residential and commercial mortgages, auto and equipment loans and leases, credit card receivables, trade receivables, among other different asset classes. There is a total of 16 professionals working in the Toronto office and 10 in New York, dealing with all aspects of a securitization transaction, including client relationship, modelling, credit rating process, and legal documentation.

                                        -

                                        At TD Securities, we believe that diversity is the key to our success in the competitive global marketplaces and we embrace people with a wide range of unique experiences and abilities.

                                        -

                                        Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                        Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                        -
                                          -
                                        • Leadership talks with key Leaders from across the organization
                                        • -
                                        • Lunch and Learns on topics such as Innovation
                                        • -
                                        • Diversity and Inclusion and Personal Branding and so much more
                                        • -
                                        +

                                        The Marketing Technologies & Analytics (MT&A) function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                        +

                                        The MT&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                        +

                                        The MT&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization

                                        Job Description

                                        -

                                        Your term as a Global Markets Co-op, Asset Securitization:
                                        The successful candidate will join a small and highly experienced team of securitization professionals and acquire hands on experience in the structured credit and securitization space and develop valuable and highly sought-after industry experience.

                                        -

                                        How You Will Contribute:

                                        +

                                        The successful candidate will act as a SME within the Marketing Campaign Delivery group to support the growth and acceleration of Trigger messaging. Your success will be predicated on your ability to understand business objectives and challenges, forge strong partnerships, communicate effectively, design and execute best-in-class targeted programs, and continuously strive for increased efficiency.

                                        +

                                        Responsibilities

                                          -
                                        • Assist ASG in its data management initiative and be responsible to source, store, retrieve and analyze securitization related data from both internal and external data sources
                                        • -
                                        • Develop insightful models from these data sets
                                        • -
                                        • Work as part of a team to maximize business opportunities and provide financial solutions to our commercial, corporate and institutional client base
                                        • -
                                        • Ensure your team achieves its objectives by foreseeing client needs and developing an unparalleled level of service with confidence
                                        • +
                                        • Support the end-to-end delivery of targeted campaigns, with an emphasis and focus to accelerate the growth of Trigger messaging across Line of Businesses – strategy, design, execution, quality control, and measurement
                                        • +
                                        • Provide thought leadership in the rollout and expansion of Customer Message Decision Engine (CMDE / HCL Interact), providing insights for best practices to effectively scale and adopt the new capability across the analytics team
                                        • +
                                        • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                        • +
                                        • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                        • +
                                        • Ensure required quality control checks are in place – always adhere to QC processes as new programs are created
                                        • +
                                        • Manage project pipeline to ensure agreed upon timelines are met
                                        • +
                                        • Liaise with other functions within MT&A (modeling, data governance, data engineering etc.) ensuring all dependencies are in place to meet campaign requirements
                                        • +
                                        • Execute with excellence, and disseminate key learnings to the rest of team to raise the execution level
                                        • +
                                        • Act as a leader on the team; provide advisory support and feedback to Sr Managers and Executives

                                        Requirements

                                        -Qualifications:

                                          -
                                        • Pursuing degree in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Data Science, or similar
                                        • -
                                        • Hands on experience with database software including Microsoft Access or other SQL Databases
                                        • -
                                        • Experience manipulating and analyzing large quantity of data in Python, R, Matlab or other equivalent programming languages
                                        • -
                                        • Must have excellent communication skills and strong business, finance, mathematics and quantitative analysis skills, or relevant experience
                                        • +
                                        • Hands on experience with strategy, design, execution, quality control, and measurement of 1:1 targeted campaigns
                                        • +
                                        • Working knowledge of direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                        -
                                        -

                                        -

                                        Additional Information

                                        -
                                        -

                                        Early Talent Requirements

                                          -
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        • -
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • -
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        • +
                                        • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS
                                        • +
                                        • Technical and detail oriented
                                        • +
                                        • A project management mindset to help deliver on time to specifications
                                        • +
                                        • Pragmatic decision maker blending a mix of intellect and hands on experience
                                        • +
                                        • Business results driven mindset
                                        • +
                                        • Comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
                                        -
                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Start Date

                                        -
                                        – Summer
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14652700/global-markets-intern-co-op-asset-securitization-database-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-24T18:53:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/102506309-global-markets-intern-co-op-asset-securitization-database-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652700/global-markets-intern-co-op-asset-securitization-database-toronto-ca/,expired,2022-01-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -76c9cf2d-20a7-4c80-a925-d842de16a069,102958738,TD Bank Group,Data Engineer Associate Program (Technology),on_site,"Toronto, ON",2022-01-06T20:33:10.518Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                        -

                                        TD’s Colleague Promise: A better you. A better us.

                                        -

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        -
                                        -

                                        -

                                        Department Overview

                                        -
                                        Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                        -

                                        As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                        -

                                        -

                                        Job Description

                                        -
                                        -You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                        +

                                        Qualifications

                                          -
                                        • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                        • -
                                        • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                        • -
                                        • Design, develop and deploy system enhancements
                                        • -
                                        • Perform Unit and System Integration tests
                                        • -
                                        • Document system deployment plans for system implementation and code deployment
                                        • -
                                        • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                        • -
                                        • Provide recommendations with full usability analysis
                                        • -
                                        • Perform root-cause analysis and resolution of application defects
                                        • -
                                        • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                        • -
                                        • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                        • +
                                        • 7+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high-volume direct marketing industries)
                                        • +
                                        • Significant experience with HCL/IBM Unica Suite – Unica Interact & Campaign
                                        • +
                                        • Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements
                                        • +
                                        • Experience designing and executing campaigns, and improving successful direct marketing experiments (i.e. acquisition, customer management, loyalty, engagement)
                                        • +
                                        • Track record of delivering successful initiatives on time and on budget
                                        • +
                                        • Understanding of Privacy regulations relating to customer contact preferences (CASL, DNC, DNS etc.)
                                        • +
                                        • Familiarity with OMLC an asset
                                        • +
                                        • Degree in business, marketing, science, statistics, engineering, or other quantitative discipline

                                        -

                                        Requirements

                                        -
                                          -
                                        • Must be graduated, or graduating between May 2020 and May 2022, with an undergraduate degree in Computer science, Engineering, Computing, or equivalent
                                        • -
                                        • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                        • -
                                        • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                        • -
                                        • Test Data Tools Knowledge (CA TDM or Delphix)
                                        • -
                                        • Familiarity with source code management such as GIT
                                        • -
                                        • Familiarity with Jira and Confluence
                                        • -
                                        • A thirst for constantly exploring emerging technology
                                        • -
                                        • -Skills that would be an asset, but not required
                                            -
                                          • Familiarity with RDBMS, Big data
                                          • -
                                          • Familiarity with Data Warehousing, ETL, ELT concepts
                                          • -
                                          • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                          • -
                                          • Interest or aptitude in Financial Systems and the Financial Industry
                                          • -
                                          • Familiarity with Cloud technology (Azure, AWS, GCP)
                                          • -
                                          -
                                        • -
                                        -

                                        Additional Information

                                        -
                                        -Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                        -
                                          -
                                        • Anticipated Start Date: July 4th, 2022 (pending academic completion)
                                        • -
                                        • Application Deadline: April 15th, 2022
                                        • -
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        • -
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • -
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        • -
                                        • #TechEarlyTalent
                                        • -
                                        -

                                        Assigned Line of Business Requirements

                                        -

                                        Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                        -
                                        -
                                        +
                                        #LI-POST

                                        Hours

                                        37.5

                                        -

                                        Start Date

                                        -
                                        – Summer
                                        -

                                        Inclusiveness

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14673852/data-engineer-associate-program-technology-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-24T18:51:00.000Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/102958738-data-engineer-associate-program-technology-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14673852/data-engineer-associate-program-technology-toronto-ca/,expired,2022-01-06T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -253f347f-8ce7-4a41-ac9c-dcf1cfcb56e1,102610053,Scotiabank,VELOCITY - Data Scientist - Summer 2022,on_site,Canada : Ontario : Toronto,2022-01-04T04:57:08.327Z,"

                                        -

                                        -

                                        -

                                        Requisition ID: 120522

                                        Cost Centre: [[costCenter]]

                                        Employee Referral Program – Potential Reward:

                                        We are committed to investing in our employees and helping you continue your career at Scotiabank.

                                        -

                                        - -

                                        VELOCITY – Data Scientist – Summer 2022

                                        -

                                        WORK TERM: 4 Months - Summer 2022 (May - August)

                                        -

                                        -

                                        What Can I Expect from the Velocity Program?

                                        -


                                        This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                        -

                                        -

                                        You will…

                                        -
                                        • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                        • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                        • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                        • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                        • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                        • Present results to business line stakeholders and help implement real data-driven changes
                                        • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                        • Experiment & learn!
                                        • +
                                        ",,https://jobs.td.com/en-CA/jobs/14431983/manager-analytics-and-insights-marketing-campaign-delivery-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-12-16T19:54:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/96914628-manager-analytics-and-insights-marketing-campaign-delivery-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14431983/manager-analytics-and-insights-marketing-campaign-delivery-toronto-ca/,expired,2021-12-02T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +34a9e965-21cf-4d35-b2d2-6ae8413f87df,96991293,Intact Financial Corporation,"Data Scientist Technical Lead (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-12-03T04:57:05.133Z,"
                                        +

                                        Who needs insurance? Everybody. That keeps us busy. Very busy.

                                        At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                        Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                        Here, innovation is everyone's job. Ready to make your mark?


                                        +
                                        About the role
                                        +

                                        Are you a machine learning expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                        Hiring Manager: Amine Mahmoudi

                                        Workplace: Toronto (700, University Ave)

                                        Your contribution:

                                        • Be the technical leader that help defining data science problems and developing innovative solutions using machine learning and advanced statistics
                                        • Help achieve long-term business goals by identifying and implementing solutions to subtle or ambiguous problems with the highest scientific rigour
                                        • Influence the lab technical direction by making actionable recommendations based on scientific and business findings to management
                                        • Coaching and mentoring of senior data scientists on technical matters and act as a technical reference for management
                                        • Review machine learning solutions and identify their corresponding scientific debt, and ultimately assess readiness for production deployment
                                        • Help the teams maintain a high scientific level by monitoring the application of data science standards of practice and participate in their evolution
                                        • Keep pace with new approaches and trends and use them in your own solutions
                                        • Work with other departments to promote the adoption of analytical principles within the organization

                                        +
                                        Qualifications
                                        +

                                        Your assets:

                                        • Your Master’s or PhD’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                        • Your 8 years of experience in the field of advanced statistics, data mining and text mining
                                        • Strong communication, time management, great teamworking and organization skills
                                        • Expert-level understanding of the underlying theory of machine learning
                                        • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                        • A multi-platform production experience with commercial and open-source data mining frameworks like Python, R, GitHub, etc.
                                        • Your ability to focus on vaguely defined issues requiring the application of a creative approach

                                        Here are a few reasons why others have joined our team:

                                        • An award-winning, inspiring workplace that supports its people and recognizes great work
                                        • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                        • Flexibility in how and where you work
                                        • A comprehensive financial rewards program that recognizes your success
                                        • An extensive, flexible benefits package
                                        • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                        • A casual ‘dress for your day’ culture that encourages you to be yourself
                                        • A $350 annual wellness account that promotes an active lifestyle

                                        +
                                        Closing Statement
                                        +

                                        We are an Equal Opportunity Employer

                                        At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                        If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                        Background Checks

                                        As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                        Internal Candidates

                                        For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                        Eligibility to Work in Canada

                                        It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                        +
                                        Referral Bonus
                                        +

                                        This role is eligible for employee referral bonus. #myReferrals3000


                                        +
                                        LinkedIn Sponsored
                                        +

                                        #LI-IT


                                        +
                                        ",,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-12-10T05:02:14.600Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/96991293-data-scientist-technical-lead-toronto-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab,expired,2021-12-03T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,Re-Posting an Expired Job, +60de11e1-6029-4711-b122-4a2d0160c81c,97762279,Manulife,"Data Analyst, Audit",on_site,"Toronto, ON, Canada",2021-12-06T21:39:10.140Z,"
                                        +
                                        +
                                        +

                                        Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                        +

                                        +

                                        Job Description

                                        +

                                        +

                                        The Manulife Audit Services Data Analytics group supports the global audit teams by collaborating with them to provide meaningful data and successfully employ the use of data analytics in audit activities. These activities cover the different product lines and functions within the company globally. This includes Insurance, Wealth, Investment, and Banking products as well as actuarial and information technology functions.

                                        +

                                        +

                                        The position of Analyst, Data Analytics is a key team member in contributing to the development and execution of the Data Analytics group strategy. The successful candidate will bring their innovation, mindset for critical thinking, curiosity and functional expertise, and a passion for using data and analytics tool sets to drive the success of this initiative. This position reports to Director, Audit Data Analytics.

                                        +

                                        +

                                        Key Accountabilities:

                                        +
                                          +
                                        • Develops and implements analytics enabled solutions to evaluate controls and audit business objectives on data validation, consolidation and cleansing processes and independently re-performs business processes, and identifies exceptions.

                                        • +
                                        • Owns and delivers complete projects of moderate complexity to prepare and integrate large and varied datasets to build statistical and machine learning models using Python and R and perform full-population data retrievals and/or sampling on large data sets

                                        • +
                                        • Works on problems of moderate scope / complexity to Validate and quantify accuracy and precision of analysis.

                                        • +
                                        • Develop requirements, design, code, test, and analyze results to provide support on audit activities using available tools/infrastructure.

                                        • +
                                        • Work independently to support individual audits, and collaboratively with both the team and Auditors on larger project

                                        • +
                                        • Analyze, document, present analytical results Communicates results of cases of moderate complexity to business partners and recommends to audit teams and provide conclusions/recommendations on data related issues.

                                        -

                                        -

                                        You Are?

                                        -

                                        You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                        -

                                        Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                        -

                                        -

                                        You have basic knowledge in…

                                        -
                                        • Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                        • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
                                        • Big Data/Cloud ecosystem (e.g. GCP)
                                        • Experimental design, statistical analysis, machine learning
                                        • Python programming
                                        • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                        • UNIX tools and shell scripting
                                        • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                        • Visualization tools like PowerBI
                                        • Kubernetes
                                        • Git Workflows (Pull Request, Code Review, Branching)
                                        • +

                                          +

                                          Job Requirement:

                                          +
                                            +
                                          • Bachelor\'s Degree in a technical (computer science, statistics, math, etc.) or generally an advanced degree in a quantitative discipline.

                                          • +
                                          • Working knowledge in data analytics/data management/programming experience, Machine-Learning, data mining and statistics.

                                          • +
                                          • Working knowledge of SQL, Python, VBA, MS Excel, Data Extraction and Data Mining tools.

                                          • +
                                          • Experience with visualization tools, Power BI, or Tableau will be an open source visualization libraries.

                                          • +
                                          • Experience with data gathering, storing, and retrieval methods

                                          • +
                                          • Experience working with various data platforms; structured and unstructured

                                          • +
                                          • Sound or developing business acumen

                                          • +
                                          • Knowledge or desire to learn text analytics

                                          • +
                                          • Knowledge or desire to learn statistical techniques (e.g., regression, cluster, decision trees)

                                          • +
                                          • Insurance or Financial Services industry experience preferred

                                          -

                                          -

                                          How to apply?

                                          -

                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                          -

                                          -

                                          1) Complete your PLUM Profile here

                                          -

                                          2) Take a screenshot of your completed PLUM profile.

                                          -

                                          3) Complete a very short one-way video interview by clicking here

                                          -

                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                          -

                                          -

                                          We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                          -

                                          -

                                          Location(s): Canada : Ontario : Toronto

                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Scientist-Summer-2022-ON/550314017/,feed-importer@jobboard.io,,,,2022-01-24T18:51:00.000Z,False,0,14,105,https://talenthub.vectorinstitute.ai/jobs/102610053-velocity-data-scientist-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Scientist-Summer-2022-ON/550314017/,expired,2022-01-04T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -0bd68b12-d75f-4212-9db4-fa5952d6e7c3,104974072,Roche,Data Engineer,on_site,"Canada , Ontario , Mississauga",2022-01-20T07:21:17.257Z,"
                                        -

                                        -

                                        Location: Mississauga

                                        -

                                        Duration: Permanent

                                        -

                                        Title: Data Engineer

                                        -

                                        Department: Global PTS Analytics & Insights

                                        -

                                        -

                                        # Positions: 2

                                        -

                                        -

                                        Who we are

                                        -

                                        Behind every presentation of each product sold by Roche is the involvement of Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes medicines at sites around the world and includes more than 10,000 employees worldwide.

                                        -

                                        -

                                        The PT Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organization, delivering priority projects, advancing the analytical maturity of the organization, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                        -

                                        -

                                        -

                                        The Position

                                        -

                                        As a key role in the newly formed PT Global Analytics Hub, the Data Engineer will join and build capabilities in an Advanced Analytics Centre of Excellence, working with industry leading teams and technologies to build capabilities and create and implement innovative high impact solutions.

                                        -

                                        The role is for a passionate driven individual to lead, guide, and influence internal customers and team members.. As an AWS Data Engineer, you will have the opportunity to work on some of the world’s most complex challenges. You will apply your deep technical expertise to solve cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.

                                        -

                                        -

                                        The Data Engineer is an emerging leader with previous experience in a lead Data Engineering role. The Data Engineer will assist on larger projects or run smaller opportunities independently. A successful candidate has technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. The Data Engineer is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.

                                        -

                                        -

                                        You will collaborate with industry leading talent and expertise, and with access to market leading technologies and tools, create and implement innovative high impact solutions.

                                        -

                                        -

                                        -

                                        Job Overview

                                        -

                                        We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

                                        -

                                        -

                                        Responsibilities:

                                        -
                                          -
                                        • Create and maintain optimal data pipeline architecture,
                                        • -
                                        • Assemble large, complex data sets that meet functional / non-functional business requirements.
                                        • -
                                        • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                        • -
                                        • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
                                        • -
                                        • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
                                        • -
                                        • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
                                        • -
                                        • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
                                        • -
                                        • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
                                        • -
                                        • Work with data and analytics experts to strive for greater functionality in our data systems.
                                        • -
                                        -

                                        Qualifications for Data Engineer

                                        -
                                          -
                                        • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
                                        • -
                                        • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
                                        • -
                                        • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                                        • -
                                        • Strong analytic skills related to working with unstructured datasets.
                                        • -
                                        • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
                                        • -
                                        • A successful history of manipulating, processing and extracting value from large disconnected datasets.
                                        • -
                                        • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
                                        • -
                                        • Strong project management and organizational skills.
                                        • -
                                        • Experience supporting and working with cross-functional teams in a dynamic environment.
                                        • -
                                        • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
                                            -
                                          • Experience with big data tools: Hadoop, Spark, Kafka, etc.
                                          • -
                                          • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
                                          • -
                                          • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
                                          • -
                                          • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
                                          • -
                                          • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
                                          • -
                                          • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
                                          • -
                                          -
                                        • -
                                        -
                                          -
                                        • Excellent problem-solving skills.
                                        • -
                                        • General understand Roche Operating Principles and business processes.
                                        • -
                                        • Mobility: Ability to travel up to 10%
                                        • -
                                        -

                                        -

                                        This position is not eligible for relocation support.

                                        -

                                        -

                                        NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                        -

                                        -

                                        AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                        -

                                        -

                                        Roche is an equal opportunity employer.

                                        -

                                        -

                                        -

                                        Job Level:

                                        Individual contributor
                                        ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202201-102143&locale=en&title=Data+Engineer&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2022-01-27T07:26:03.508Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/104974072-data-engineer-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202201-102143&locale=en&title=Data+Engineer,expired,2022-01-20T07:21:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -7e76e8ba-f044-4b2f-847c-bd47c702d238,105593417,TD Bank Group,Data Science & Advanced Analytics Associate Program (Graduate),on_site,"Toronto, ON",2022-01-24T20:33:03.934Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                        -

                                        TD’s Colleague Promise: A better you. A better us.

                                        -

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        -
                                        -

                                        -

                                        Department Overview

                                        -
                                        -

                                        Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                        -

                                        Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                        -

                                        As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                        -
                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                        -
                                          -
                                        • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                        • -
                                        • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                        • -
                                        • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                        • -
                                        • Build production-scale solutions and work with deployment teams to integrate in business operations
                                        • -
                                        • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                        • -
                                        -
                                        -

                                        -

                                        Requirements

                                        -
                                        -
                                          -
                                        • Must be graduated between May 2020 and May 2022 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                        • -
                                        • At least 2 years of professional experience; which can include work terms during your completion of studies.
                                        • -
                                        • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                        • -
                                        • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                        • -
                                        • -Experienced in one or more of:
                                            -
                                          • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                          • -
                                          • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                          • -
                                          -
                                        • -
                                        • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                        • -
                                        • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                        • -
                                        -
                                          -
                                        • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                        • -
                                        • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                        • -
                                        • Remain current with emerging trends and technologies in Data Science
                                        • -
                                        -
                                        -

                                        -

                                        Additional Information

                                        -
                                        -
                                          -
                                        • Application Deadline: January 23rd, 2022
                                        • -
                                        • Anticipated Start Date: July 4th, 2022 (pending academic completion)
                                        • -
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        • -
                                        -
                                          -
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • -
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        • -
                                        • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                        • -
                                        • #DAEarlyTalent #DataScientist
                                        • -
                                        -
                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Start Date

                                        -
                                        – Summer
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14652689/data-science-advanced-analytics-associate-program-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-27T16:05:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/105593417-data-science-advanced-analytics-associate-program-graduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652689/data-science-advanced-analytics-associate-program-graduate-toronto-ca/,expired,2022-01-24T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -38e83318-de9b-4271-b53c-304230590ee4,105593421,TD Bank Group,Data Intelligence & Reporting Intern/Co-op,on_site,"Toronto, ON",2022-01-24T20:33:04.589Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                        -

                                        Why TD?

                                        -

                                        TD’s Colleague Promise: A better you. A better us.

                                        -

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        -
                                        -

                                        -

                                        Department Overview

                                        -
                                        -

                                        Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                        -

                                        Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                        -
                                          -
                                        • Leadership talks with key Leaders from across the organization
                                        • -
                                        • Lunch and Learns on topics such as Innovation
                                        • -
                                        • Diversity and Inclusion and Personal Branding and so much more
                                        • -
                                        -
                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Management and Reporting Co-op/Intern is a 4/8/12-month work term opportunity. We are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                                        -

                                        The Data Management and Reporting Co-op/Intern will perform a variety of activities, which may include:

                                        -
                                          -
                                        • Supporting data pipelines to support analytics solutions through system and data integration, and structuring

                                        • -
                                        • Support data management activities, including data quality, metadata, and data lifecycle management in alignment with enterprise policies

                                        • -
                                        • Collaborate with technology partners to support data ingestion activities to enable the use of enterprise tools for analytics and data science

                                        • -
                                        • Conduct SQL queries and develop reporting to inform business decisions

                                        • -
                                        -
                                        -

                                        -

                                        Requirements

                                        -
                                        -
                                          -
                                        • Current enrollment in a relevant post-secondary program

                                        • -
                                        • Over 1 year of related experience

                                        • -
                                        • Proficient with MS Office Suite and internet applications

                                        • -
                                        • Strong communications skills with positive personality and willingness to accept challenges

                                        • -
                                        • A strong analytical mind with attention to detail and desire to learn and grow

                                        • -
                                        -

                                        Assigned Line of Business Requirements

                                        -
                                          -
                                        • Currently enrolled in either a recognized undergraduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics or related, with the intent of going back to school at the start of your work term.

                                        • -
                                        • Strong statistical and analytical skills and interest are necessary.

                                        • -
                                        • Strong proficiency with Excel.

                                        • -
                                        • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.

                                        • -
                                        • Knowledge in one or more of R, Python, SQL, SAS or other data-related programming languages.

                                        • -
                                        • Knowledge in Tableau.

                                        • -
                                        • Knowledge with Data Management, Analytics, and Project Management is a plus.

                                        • -
                                        • Knowledge of data quality, business glossaries, and data dictionaries are considered an asset.

                                        • -
                                        -

                                        ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                        -
                                        -

                                        -

                                        Additional Information

                                        -
                                        -

                                        Early Talent Requirements

                                        -

                                        Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                        +

                                        +

                                        Competencies:

                                          -
                                        • This position is a 4-month work term and will commence May 2nd – Aug 26th, 2022.

                                        • -
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

                                        • -
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                                        • -
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                                        • -
                                        • -

                                          TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                          -

                                          #DAEarlyTalent

                                          -
                                        • +
                                        • Strong technical knowledge of data and data concepts

                                        • +
                                        • Detailed oriented with a problem solving mind set

                                        • +
                                        • Displays strong relationship building mindset and skills

                                        • +
                                        • Employ analytical, conceptual, and creative thinking skills to problem solve and get results

                                        • +
                                        • Able to prioritize, meet deadlines, and be results orientated

                                        • +
                                        • Demonstrated ability to communicate complexity with clarity to diverse technical and non-technical stakeholders at multiple levels of the organization

                                        • +
                                        • Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Ability to communicate results and educate others through reports and presentations

                                        • +
                                        • Strong commitment to organizational success, share resources and leverages knowledge across the organization

                                        • +
                                        • Adaptable and open to change

                                        +

                                        +

                                        +

                                        Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                        +

                                        +

                                        About John Hancock and Manulife

                                        +

                                        +

                                        John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                        +

                                        +

                                        One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                        +

                                        +

                                        Manulife is an Equal Opportunity Employer

                                        +

                                        +

                                        At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                        +

                                        +

                                        It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                        -

                                        -

                                        Hours

                                        -
                                        37.5
                                        -

                                        -

                                        Start Date

                                        -
                                        – Summer
                                        -

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14652696/data-intelligence-reporting-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-27T16:05:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/105593421-data-intelligence-reporting-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652696/data-intelligence-reporting-intern-co-op-toronto-ca/,expired,2022-01-24T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -4ff15027-1de9-4d18-a239-b0637a411ef1,106037712,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-01-27T21:43:08.456Z,"
                                        +
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Analyst--Audit_JobReq0444458-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-12-09T17:27:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/97762279-data-analyst-audit-at-manulife,,expired,2021-12-06T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +1196043b-48cd-4778-9d7e-0e12a4f6631e,97762281,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-12-06T21:39:10.257Z,"

                                        Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                        -

                                        -

                                        -

                                        Working Arrangement

                                        Hybrid

                                        Job Description

                                        Job Summary:

                                        -

                                        As a Senior Data Scientist, you will play a key role in leading transformational projects in our Group Benefits business. Your broad knowledge of predictive analytics techniques will impact the lives of millions of Canadians, support Canadian businesses with the retention of employees, while managing costs, and enable Manulife employees with cutting edge solutions that deliver exceptional customer experiences.

                                        +

                                        As a Senior Data Scientist, you will play a key role in leading transformational projects in our Group Benefits business. Your broad knowledge of predictive analytics techniques will impact the lives of millions of Canadians, support Canadian businesses with the retention of employees, while managing costs, and enable Manulife employees with cutting edge solutions that deliver exceptional customer experiences.

                                        As a senior member of the Group Benefits data science team, you will collaborate with business leaders in Fraud, Disability Management, Operations, Product, Sales, Pricing and Underwriting to identify opportunities to apply advanced analytic algorithms and technologies (e.g. machine learning, artificial intelligence, deep learning) to deliver predictions and/or intelligent automation that will enable smarter business decisions, improved health outcomes, exceptional customer experiences and higher productivity for our Group Benefits team.

                                        -

                                        Responsibilities:

                                        +

                                        Responsibilities:

                                          -
                                        • Consults with internal business leaders, identifies opportunities/challenges, and brings analytics driven insights/solutions to solve business problems.

                                        • +
                                        • Consults with internal business leaders, identifies opportunities/challenges, and brings analytics driven insights/solutions to solve business problems.

                                        • Helps determine advanced analytics priorities and sequencing of projects to optimize business goals. Works closely with business leaders in change management as an outcome of model delivery.

                                        • Leads, develops, manages, and delivers projects of diverse scope.

                                        • -
                                        • Codifies processes/techniques/tools into best practices for other data scientists. Oversees the work of more junior data scientists. Participates in code and model review of other data scientists.

                                        • +
                                        • Codifies processes/techniques/tools into best practices for other data scientists. Oversees the work of more junior data scientists. Participates in code and model review of other data scientists.

                                        • Works with Customer Experience, Human Center Design, Operations, and IT teams to bring model outputs to life to support business processes, and end users.

                                        • Provides thought leadership including researching new analytics methodologies, tools, and data

                                        • -
                                        • Innovates and finds creative ways to source data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies and NLP

                                        • +
                                        • Innovates and finds creative ways to source data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies and NLP

                                        • Actively involved in recruiting data science professionals and manages data science co-ops

                                        -

                                        Qualifications:

                                        +

                                        Qualifications:

                                          -
                                        • An advanced degree in Computer Science, Mathematics, Engineering, Statistics, or other quantitative discipline

                                        • +
                                        • An advanced degree in Computer Science, Mathematics, Engineering, Statistics, or other quantitative discipline

                                        • Minimum 5 years of commercial experience solving high impact business problems using data science

                                        • Experience leading initiatives across the entire advanced analytics lifecycle from business problem through to deployment

                                        • Practical experience with big data processing frameworks, and platforms such as Azure, Databricks, Spark, Hive, PCF

                                        • @@ -4230,571 +4680,573 @@ e927f6d5-a302-4545-9947-33ff32ebeece,102506309,TD Bank Group,"Global Markets Int

                                          Manulife is an Equal Opportunity Employer

                                          -

                                          At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                          +

                                          At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                          -

                                          It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                          -
                                        -
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2022-01-31T15:20:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/106037712-senior-data-scientist-at-manulife,,expired,2022-01-27T21:43:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -b9c209a9-d479-486e-b56f-b4777ebdcd28,103965617,TD Bank Group,"Manager, Business Insights",on_site,"Markham, ON",2022-01-13T20:33:04.339Z,"
                                        -

                                        Company Overview

                                        -
                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +

                                        It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                        -

                                        -

                                        Department Overview

                                        -

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.
                                        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        -

                                        -

                                        Job Description

                                        -
                                        -

                                        You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                        -

                                        We are looking for accomplished insights manager to lead and cultivate a team of Business Insights & Analytics professionals/specialists.

                                        -

                                        As the Manager, Analytics & Insights you will:

                                        +
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-12-20T18:04:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/97762281-senior-data-scientist-at-manulife,,expired,2021-12-06T21:39:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +a94766fd-e466-42b8-a31c-074d2cbb0679,89688898,Vector Institute,"Applied Machine Learning Specialist AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-20T05:44:36.681Z,"
                                        +

                                        POSITION OVERVIEW

                                        +

                                        +

                                        As a Vector Applied Machine Learning Specialist, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI.

                                        +

                                        +

                                        KEY RESPONSIBILITIES

                                        +

                                          -
                                        • Lead and manage a team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                        • -
                                        • Develop analytic solutions to support insight generation for a variety of ad-hoc requests
                                        • -
                                        • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                        • -
                                        • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                        • -
                                        • Support all relevant projects and initiatives to ensure project data and reporting requirements are met; may also be accountable to lead the team in bridging the gap between analytic outputs and business insights, including improving information presentation/delivery and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                        • -
                                        • Collaborate with business partners to shape and prioritize ad hoc analysis
                                        • -
                                        • Set operational team direction, working in partnership to execute on common goals
                                        • -
                                        • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                        • -
                                        • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                        • -
                                        • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                        • -
                                        • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                        • -
                                        • Support execution with excellence on key initiatives/programs
                                        • -
                                        • Design effective test and learn for various programs or scenarios
                                        • -
                                        • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                        • -
                                        • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                        • -
                                        • Present insights back to executive leaders / business partners to drive strategic improvement
                                        • +
                                        • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                        • +
                                        • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                        • +
                                        • Design and develop open source software for applying AI research techniques to common problems;
                                        • +
                                        • Mentor industry sponsors on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                        • +
                                        • Mentor researchers on software engineering best practices;
                                        • +
                                        • Develop prototypes and proofs of concept; and,
                                        • +
                                        • Report and present on software development including status and results.
                                        • +
                                        +

                                        +

                                        PROFILE OF THE IDEAL CANDIDATE

                                        +

                                        +
                                          +
                                        • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred
                                        • +
                                        • Minimum of 2 years of experience in industry; experience across industries considered an asset
                                        • +
                                        • Demonstrated experience in machine learning and/or statistics
                                        • +
                                        • Demonstrated software engineering background with experience in production deployment
                                        • +
                                        • Demonstrated data engineering background working with messy real-world data
                                        • +
                                        • Demonstrated analytical skills to identify signal in data and feasibility of prediction
                                        • +
                                        • Strong knowledge and experience of Python and preferably C/C++ and C#
                                        • +
                                        • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                        • +
                                        • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA)
                                        • +
                                        • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                                        -

                                        -

                                        Requirements

                                        -
                                        -What can you bring to TD?
                                        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        -

                                        Requirements
                                        Bachelor’s degree required, preference in the field of Mathematics, Statistics, Actuarial Sciences, Computer Science.
                                        5+ years relevant experience in Business Intelligence, Reporting and Insights
                                        2+ years experience in team and stakeholder relationship management
                                        Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                        Ability to work collaboratively, communicate effectively and build relationships across teams and functions
                                        Project management and business analysis competencies

                                        -

                                        Assets
                                        Knowledge of Insurance, notably TDI Life & Health systems and data
                                        Knowledge of computer extraction and data analysis languages (SAS, SQL, Python etc.)
                                        Knowledge of data visualization (Tableau, Power BI, Pandas, NumPy etc.)

                                        -
                                        +

                                        Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on August 19, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                        -

                                        Hours

                                        -
                                        37.5
                                        +

                                        Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                        -

                                        Inclusiveness

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14160316/manager-business-insights-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-31T15:20:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/103965617-manager-business-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14160316/manager-business-insights-markham-ca/,expired,2022-01-13T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -699172cd-1e12-4e05-acc8-c8fd1bcc6bed,95914112,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2021-11-25T21:17:49.974Z,"

                                        We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                        -

                                        As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                        -

                                        Must-Have

                                        -
                                          -
                                        • Experience with building and scaling data-intensive software in Java
                                        • -
                                        • You value good software design and sweat over details in code and API design
                                        • -
                                        • Knowledge of machine learning modelling workflow
                                        • -
                                        • You enjoy learning new technology and also educating others
                                        • -
                                        • You strive to communicate clearly and with empathy
                                        • -
                                        • You take great personal pride in building robust and scalable software
                                        • -
                                        • You are highly accountable and have a strong sense of ownership
                                        • -
                                        • Ability to do detailed code reviews and give thoughtful feedback
                                        • -
                                        +

                                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                        +
                                        ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=143&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-19T18:46:06.982Z,False,0,6,67,https://talenthub.vectorinstitute.ai/jobs/89688898-applied-machine-learning-specialist-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-20T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +cb69cf6f-36fa-4f0c-a965-ec718f7b21f4,89688899,Vector Institute,"Applied Machine Learning Specialist (ML Systems) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-20T05:44:47.734Z,"
                                        +

                                        POSITION OVERVIEW

                                        +

                                        +

                                        As an Applied Machine Learning Specialist (ML Systems) you will provide technical leadership and contribute to focused research applications to solve real-world problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data specialists and machine learning engineers from leading industry and healthcare organizations. You will collaborate with some of the leading machine learning researchers, data specialists and engineers.

                                        +

                                        +

                                        KEY RESPONSIBILITIES

                                        -

                                        Nice to have

                                        -
                                          -
                                        • Experience building a library or a framework
                                        • -
                                        • Knowledge of machine learning algorithms
                                        • -
                                        • Experience with Kubernetes
                                        • -
                                        • Data analytics
                                        • -
                                        • Comfortable with math or statistics
                                        • -
                                        ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-02-03T21:17:00.000Z,False,1,0,44,https://talenthub.vectorinstitute.ai/jobs/95914112-machine-learning-engineer-framework-at-layer-6,,expired,2021-11-25T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -9e354364-8ee8-458e-b55b-b26e0f382193,105137079,Deloitte,"Data Analyst, Omnia AI",on_site,"Ontario, Canada",2022-01-21T02:42:49.917Z,"

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        -

                                        Learn from deep subject matter experts through mentoring and on the job coaching
                                        Partner with clients to solve their most complex problems

                                        -

                                        Be empowered to lead and have impact with clients, our communities and in the office.

                                        -
                                        -
                                        -

                                        -

                                        You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                        -
                                        -
                                        -

                                        What will your typical day look like?

                                        -
                                        -

                                        -

                                        As a Data Analyst on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them, and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy, and have a solid understanding of software development.

                                        -

                                        Specifically, in this role, you will:
                                        • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                        • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                        • Plan/schedule tasks, lead small development teams and mentor junior colleagues
                                        • Facilitate technical meetings with client staff, and advise the client with technical option analyses based on leading practices

                                        -
                                        -
                                        -
                                        -

                                        About the team

                                        -
                                        -

                                        -

                                        Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                                        -

                                        Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                        -
                                        -
                                        -
                                        -

                                        Enough about us, let’s talk about you

                                        -
                                        -

                                        -

                                        You are someone with:

                                        -

                                        • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                        • 2-3 years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                        • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                        • Experience with Agile development methods in data-oriented projects
                                        • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                        -


                                        If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                        -

                                        The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                        -
                                        -
                                        -
                                        -

                                        Why Deloitte?

                                        -

                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                        -
                                        • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                        • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                        • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                        • -
                                        -


                                        The next step is yours

                                        -

                                        Sound like The One Firm. For You?

                                        -

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        -

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        ",,https://careers.deloitte.ca/job/Toronto-Data-Analyst%2C-Omnia-AI-ON-M5C-3G7/818003400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-03T17:30:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/105137079-data-analyst-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Analyst%2C-Omnia-AI-ON-M5C-3G7/818003400/,expired,2022-01-21T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -11b2ce25-3b16-449f-92a8-e330caf38a54,105954531,CIBC,"Consultant, Business Analytics and Data Engineering, Cards and Deposits",on_site,"Ontario, Canada",2022-01-27T10:03:08.014Z,"
                                        -
                                        -
                                        -

                                        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                        -

                                        -

                                        At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                        -

                                        -

                                        To learn more about CIBC, please visit CIBC.com

                                        -

                                        -

                                        Job Description

                                        -

                                        -

                                        What You’ll Be Doing

                                        -

                                        The Consultant, Business Analytics and Data Engineering reporting to the Director, Cards and Deposits Data, Analytics and Decision Science and will be accountable for the day-to-day and strategic opportunities that align with the PBB Strategy. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will work on the delivery of data driven insights and solutions to evaluate client behaviors and to optimize business decisions related to product, campaign, pricing and other business areas.

                                        -

                                        -

                                        At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                        -

                                        -

                                        How You’ll Succeed

                                        -

                                        -
                                        • -Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
                                          -
                                        • -Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.
                                        • -
                                        • -Strategic Thinking Approach – Drive, manage and execute PBB data and reporting projects and initiatives in alignment with CIBC and PBB Strategy while supporting the business goals, objectives and KPIs. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.
                                        • -
                                        • -Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.
                                        • -
                                        • -Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
                                        • -
                                        • -Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.
                                        • +
                                        • Research and implement state of the art machine learning techniques to solve real world problems;
                                        • +
                                        • Work in collaboration with Researchers, Machine learning specialists, Vector team members and Vector affiliates to build demos, minimum viable products (MVP) and prototypes;
                                        • +
                                        • Provide advice regarding building machine learning applications and ML product roadmaps
                                        • +
                                        • Provide oversight for Vector-led or co-led efforts to prepare and open source specific datasets for machine learning research;
                                        • +
                                        • Serve as the an AI Engineering team representative to research computing and HPC team;
                                        • +
                                        • Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
                                        • +
                                        • Other related duties as assigned.
                                        -

                                        -

                                        Who You Are

                                        +

                                        +

                                        PROFILE OF THE IDEAL CANDIDATE

                                        +

                                          -
                                        • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard. +
                                        • A degree in computer science or computer engineering with a research focus on machine learning
                                        • +
                                        • Strong software engineering and coding skills, with the ability to write high-performance and production-level code
                                        • +
                                        • Demonstrated expertise in building systems for applying machine learning algorithms for solving business challenges
                                        • -
                                        • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. Understanding internal banking processes and how they translate into data outputs.
                                        • -
                                        • -You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                        • -
                                        • -You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                        • -
                                        • -Your influence makes an impact. You use your relationships and technical knowledge to influence enterprise projects.
                                        • -
                                        • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                        • -
                                        -

                                        -

                                        What CIBC Offers

                                        -

                                        At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                        -
                                          -
                                        • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                        • -
                                        • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                        • -
                                        • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                        • +
                                        • Demonstrated experience applying machine learning research to novel problems and data sets
                                        • +
                                        • Strong knowledge and experience of Python
                                        • +
                                        • Experience with large scale machine learning operations such as distributed training, parameter and architecture tuning of deep learning models
                                        • +
                                        • Experience using deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA)
                                        • +
                                        • Demonstrated experience with SLURM and bash programming is a plus
                                        • +
                                        • Experience with high-performance-computing and GPU execution model is a plus
                                        • +
                                        • Experience with CI/CD and software development life-cycles is a plus
                                        -

                                        -

                                        What you need to know

                                        -
                                          -
                                        • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                        • -
                                        • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                        • -
                                        • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                        • -
                                        -

                                        -

                                        -

                                        -

                                        -

                                        -

                                        Job Location

                                        Toronto-81 Bay, 25th Floor

                                        Employment Type

                                        Regular

                                        -

                                        Weekly Hours

                                        37.5

                                        Skills

                                        -

                                        Alteryx, Databricks, IBM Cognos Business Intelligence, IBM Netezza, Python, SAS BI, Tableau
                                        -
                                        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Business-Analytics-and-Data-Engineering--Cards-and-Deposits_2133843-1,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-03T10:08:04.534Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/105954531-consultant-business-analytics-and-data-engineering-cards-and-deposits-at-cibc,,expired,2022-01-27T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -4fba41e2-a17e-4905-a62a-dd45d4220869,102876636,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-01-06T07:19:03.426Z,"
                                        -
                                        -

                                        Description

                                        -
                                        -

                                        -

                                        Join our team

                                        -


                                        The Marketing, Strategy & Data Insights team support TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                        -

                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        -


                                        You’ll collaborate with teams across the company, seeking out various data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                        -


                                        As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing of novel AI techniques to discover insights, to developing automation pipelines and ML models.

                                        -

                                        -
                                        -
                                        -
                                        -

                                        Here\'s how

                                        -
                                        -

                                        -


                                        • Lead the iterative development, validation, and deployment of AI/ML models
                                        • Collaborate on end-to-end automation efforts required to bring models to production
                                        • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                        • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                        • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                        • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities

                                        -

                                        +

                                        +

                                        Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on August 19, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                        +

                                        +

                                        Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                        +

                                        +

                                        At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                        +

                                        +

                                        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                        +
                                        ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=144&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-19T18:46:49.932Z,False,0,4,34,https://talenthub.vectorinstitute.ai/jobs/89688899-applied-machine-learning-specialist-ml-systems-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-20T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +ca7a25e8-53da-499a-a999-b6f3741961a5,89969324,RBC,Data Engineering Manager- RBC Ventures (Ampli),on_site,"Toronto, Ontario, Canada",2021-10-21T02:39:19.331Z,"
                                        +

                                        RBC Ventures is a new kind of business – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives – to move RBC ‘beyond banking’. We’re building a world-class organization focused on designing exceptional experiences, exploring new business models and creating exponential value. In 2020, we were named by Fast Company as one of the 100 Best Workplaces for Innovators and we’re looking for team members with the curiosity to explore, the capabilities to build and capacity to help us deliver our mission.

                                        +

                                        +

                                        What is the opportunity?

                                        +

                                        Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineering Lead – a senior data engineer with a lot of experience building scalable, performant, secure, and observable cloud-based data platforms. In this role, you will manage a data engineering team while remaining hands-on-keyboard to solve some of Ampli’s toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning products to enable batch and real time event processing as well as advanced analytics. In short, we’re looking for folks who have built (and continue to build) a lot of cool, well-designed data services and who want to share their knowledge and experience by being a technical leader in our organization.

                                        +

                                        +

                                        What will you do?

                                        +
                                          +
                                        • Manage a team of dedicated data engineers and mentor them as they design, test, and deploy our data platform
                                        • +
                                        • Work closely with key data stakeholders, including the Product, Data Science, Insights, and Development teams with data-related initiatives and support their data engineering needs
                                        • +
                                        • Build and manage large-scale batch and real-time data pipelines using modern cloud technology
                                        • +
                                        • Clear roadblocks for your team and empower them to do their best work
                                        • +
                                        • Participate and be a thought leader in meetings with business and technical leads to help make decisions and achieve short and long-term goals while taking many factors into consideration (product roadmap, target metrics, budget constraints, operational stability, technical risk, etc)
                                        • +
                                        • Ownership and responsibility for operational best practices including effective logging, application performance monitoring, application health monitoring, and supporting issues in the production environment
                                        • +
                                        • Be an evangelist for Ampli and the RBC Ventures Tech brand both within RBC and outside of RBC
                                        • +
                                        • Work with an awesome team in a challenging but rewarding environment
                                        • +
                                        +

                                        +

                                        The ideal candidate will have experience with:

                                        +
                                          +
                                        • Dealing with structured and unstructured data sets, data analytics, and big data pipelines and infrastructure
                                        • +
                                        • Managing a high-performing data engineering team
                                        • +
                                        • Owning and operating a production data and analytics platform
                                        • +
                                        • Designing and implementing data infrastructure to house large sets of consumer and transaction data, leveraging AWS platform services
                                        • +
                                        • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                        • +
                                        • Implementing and supporting data pipelines for extraction, transformation, and modelling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                        • +
                                        • Preparing analytical datasets to support data modeling and machine learning use cases
                                        • +
                                        • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                        • +
                                        • Communicating effectively to sell stakeholders on proposed actions and solutions
                                        • +
                                        +

                                        +

                                        The superlative candidate will have experience with:

                                        +
                                          +
                                        • Experience in the marketing analytics space
                                        • +
                                        • Familiarity with common data science techniques and models
                                        • +
                                        • Experience working with large financial institutions
                                        • +
                                        • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                        • +
                                        • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                        • +
                                        +

                                        +

                                        What’s in it for you?

                                        +

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        +
                                          +
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                        • +
                                        • Leaders who support your development through coaching and managing opportunities
                                        • +
                                        • Ability to make a difference and lasting impact
                                        • +
                                        • Work in a dynamic, collaborative, progressive, and high-performing team
                                        • +
                                        • A world-class training program in financial services
                                        • +
                                        • Flexible work/life balance options
                                        • +
                                        • Opportunities to do challenging work
                                        • +
                                        +

                                        +

                                        RBC Ventures

                                        +

                                        Learn more about RBC Tech Jobs

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.


                                        JOB SUMMARY
                                        City: Toronto
                                        Address: Remote
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Required Travel(%): 0
                                        Exempt/Non-Exempt: N/A
                                        People Manager: Yes
                                        Application Deadline: 11/30/2021
                                        Platform: Technology and Operations

                                        Req ID: 412800
                                        Ad Code(s): RBC Ventures

                                        +

                                        +
                                        ",,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-20T15:27:13.284Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/89969324-data-engineering-manager-rbc-ventures-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/412800/Data-Engineering-Manager-RBC-Ventures-Ampli,expired,2021-10-21T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c6d2d3b2-c30a-445c-a98e-eefb30620efa,90026191,TELUS,Data Scientist,on_site,"Ontario, Canada",2021-10-21T07:06:16.554Z,"
                                        +
                                        +

                                        Description

                                        +
                                        +

                                        +

                                        +

                                        Ready to create innovative solutions and best practices?

                                        +

                                        +


                                        Join our team

                                        +


                                        Have you ever dreamed about building an AI-driven technologically advanced platform capable of helping millions of people and changing their lives for the best? If so, your dream will come true with us

                                        +


                                        TELUS is looking for a passionate and talented Data Scientist to join a highly skilled and dynamic Advanced Analytics team. In this role, you will be a key contributor to our next generation Demand Forecasting, and Customer Behavioral & Customer Intents Prediction models.

                                        +

                                        +


                                        You will create the most advanced Machine Learning solutions to enable various stakeholders to better anticipate TELUS’ customers needs and help them meet customers’ inquiries in advance.

                                        +


                                        Customer Experience AI, Data & Analytics Spotlight:

                                        +


                                        • Our team works in a fun, innovative and challenging environment that directly influences the strategic direction and performance of the Customer Experience business
                                        • Our teams are responsible for the Demand Forecasting, Customer Intents and Behavioral Prediction, as well as Performance Analytics
                                        • We work closely with our stakeholder teams to deliver on our strategic objectives; our key stakeholders and partners include Operations, Marketing, Finance, and Technology

                                        +

                                        +

                                        Transformation and more

                                        +


                                        • We provide opportunities for you to excel and show your stuff: work on high value and high visibility projects
                                        • We have flexible work styles with the ability to work in and out of the office
                                        • You will work in a team that actively supports your personal development with progressive training and development tools

                                        +


                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        +


                                        As a Data Scientist, you’re in great company, working alongside some of the brightest and creative Data Scientists, Data Engineers and Data Analysts. You will be part of the journey that brings us to a better understanding of our customers, in order to predict their needs and interaction behaviour.

                                        +


                                        With your expert knowledge and experience in Machine Learning, you will contribute to the development of state of the art ML & AI driven solutions such as demand forecasting, customer intents prediction and customer behaviour models.

                                        +


                                        Here\'s how

                                        +

                                        +

                                        +
                                          +
                                        • Lead the development and implementation of ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                        • +
                                        • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology
                                        • +
                                        • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                        • +
                                        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                        • +
                                        • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                        • +
                                        • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                        • +
                                        +
                                        +
                                        +
                                        +

                                        Qualifications

                                        +
                                        +

                                        +

                                        You\'re the missing piece of the puzzle

                                        +

                                        +

                                        +
                                          +
                                        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques
                                        • +
                                        • You are sought out for your skills in Machine Learning (Supervised and Unsupervised), Classification, Clustering, Segmentation, Time Series Analysis, NLP, Demand Forecasting and Optimization, with 5 or more years of practical business experience in the above areas
                                        • +
                                        • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                        • +
                                        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                        • +
                                        • You are comfortable with Jupyter environment and infrastructure, as well as know what GitHub, Spyder/PyCharm are
                                        • +
                                        • You possess advanced knowledge in SQL
                                        • +
                                        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                        • +
                                        • You are well versed in software and AI development lifecycles
                                        • +
                                        • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach
                                        • +
                                        +


                                        Great-to-haves

                                        +

                                        +
                                          +
                                        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                        • +
                                        • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                        • +
                                        • Data environments experience: MS SQL, Oracle
                                        • +
                                        • G-Suite experience
                                        • +
                                        • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                        • +
                                        +
                                        +
                                        +
                                        ",,https://careers.telus.com/job/Calgary-Data-Scientist-AB/551960017/,feed-importer@jobboard.io,,,,2021-11-20T15:31:28.402Z,False,0,4,41,https://talenthub.vectorinstitute.ai/jobs/90026191-data-scientist-at-telus,,expired,2021-10-21T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +31861cd0-bbad-45f5-a1f2-366cc2bd5f19,90107928,Loblaw Companies Ltd.,Data Scientist Analyst Market Division,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-10-21T17:55:19.442Z,"
                                        +
                                        +
                                        +

                                        Referred applicants should not apply directly to this role.

                                        +

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        +

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                        +

                                        Why is this role important?

                                        +

                                        Position Overview:

                                        +

                                        Market Division Analytics team at Loblaw is looking for a Data Science Analyst to join our fast-growing team. The candidate will help with the data analytics spectrum from ad-hoc database queries through to machine learning models. The team will look for your expertise in helping build production-ready data science solutions.

                                        +

                                        As Canada’s largest retailer, we are uniquely positioned to leverage data driven insights to deliver the needs of our customers. Our culture – Smart, Nice and Curious operates at the center of everything we do and is a critical part of who we are. Join us help Canadians live life well through the power of analytics.

                                        +

                                        +

                                        What You'll Do:

                                        +
                                          +
                                        • +Collaborate with the business to translate problem statements and then design and test analytical modules for modeling
                                        • +
                                        • Be a strong individual contributor who can quickly extract data and hash out working prototypes leveraging cloud technology to solve business needs
                                        • +
                                        • Develop powerful business insights from data using a range of analytical techniques including, but not limited to building predictive models that learn from and scale to massive data sets and the production of interactive data visualizations
                                        • +
                                        • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                        • +
                                        • Partner with our Data & Software Engineering departments to build world-class web-based analytical solutions
                                        • +
                                        • Design and build interactive and static data visualizations to provide insights and enable strategic business decision
                                        • +
                                        • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                        • +
                                        +

                                        +

                                        What You'll Bring:

                                        +
                                          +
                                        • Graduate degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science or Systems Engineering with focus on optimization methods
                                        • +
                                        • Experience in retail and/or CPG pricing, promotions and assortment is a big plus
                                        • +
                                        • Excellent oral and written communication skills
                                        • +
                                        • Superb analytical and critical thinking capability; to not only manipulate massive, complex datasets, but also to derive meaningful interpretations & conclusions
                                        • +
                                        • Experience writing production grade code using scientific computing packages (e.g., R, Apache Spark's Machine Learning Library MLlib, NumPy, Scipy Sklearn)
                                        • +
                                        • Programming skills with SQL, Python, PySpark
                                        • +
                                        • Expertise in object-oriented programming
                                        • +
                                        • Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
                                        • +
                                        • A desire and ability to take initiative, multi-task and work in a collaborative, fast-paced environment
                                        • +
                                        • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                        • +
                                        • Experience in Short-release lifecycle (agile processes including scrum)
                                        • +
                                        +

                                        +

                                        COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                        +

                                        +

                                        In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                        +

                                        How You’ll Succeed:

                                        +

                                        At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                        +

                                        If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                        +

                                        +

                                        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                        +

                                        +

                                        +

                                        Employment Type:

                                        Full time

                                        +

                                        +

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                        +

                                        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                        +
                                        +
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Analyst---Market-Division_R2000219461,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-11-04T18:00:03.284Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/90107928-data-scientist-analyst-market-division-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Analyst---Market-Division_R2000219461,expired,2021-10-21T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, +a26262ed-f209-40ae-876a-032274a9008e,90122670,TD Bank Group,"Senior Analyst, Strategy & Planning",on_site,"Toronto, ON",2021-10-21T19:51:26.068Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +

                                        +

                                        Department Overview

                                        +
                                        +

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        +

                                        It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                        +

                                        The Personal Banking Data & Analytics (PBDA) are specialized teams, providing specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities.

                                        +

                                        As an experienced analyst on the Strategy & Planning team reporting directly to the Senior Manager, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

                                        -
                                        -

                                        Qualifications

                                        -

                                        -

                                        You\'re the missing piece of the puzzle

                                        -


                                        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                        • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                        • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                        • You possess advanced knowledge in SQL and Apache Spark
                                        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                        • You are agile and have a bias for action, removing roadblocks to get results fast

                                        -

                                        -

                                        Great-to-haves

                                        -


                                        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                        • GCP or other cloud certifications

                                        -

                                        +

                                        Job Description

                                        +
                                        +

                                        Senior Analyst, Strategy & Planning
                                        Canadian Personal Banking Data & Analytics, TD

                                        +

                                        Reporting to the Senior Manager, Strategy & Planning for Personal Banking Data & Analytics (PBDA) your core accountabilities will include:

                                        +
                                          +
                                        • Serve as “Lead” on large strategic projects accountable for the project management, team organization and operational efficiencies
                                        • +
                                        • Work with the business on strategic analytics planning and prioritize key initiatives which will help pivot business opportunities through data & analytics initiatives
                                        • +
                                        • Responsible for stakeholder alignment across channels, operations, compliance, digital, Product, marketing in each initiative/journey
                                        • +
                                        • Create and review presentations for executive leaders and business partners to drive program delivery and provide project updates
                                        • +
                                        • Manage raised issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                        • +
                                        • Own, compile and host the Monthly Operating Results meeting with PBDA leadership team
                                        • +
                                        • Support the model governance manager on Privacy Impact Assessment Reviews
                                        • +
                                        • Support PBDA to build a strong governance culture, documentation repository and to be audit ready
                                        • +
                                        • Own and create process documentation and data flow diagrams for audit reviews
                                        • +
                                        • Support and execute on data access oversight and attestation activities for key tenant spaces
                                        • +
                                        • Support Strategy and Planning, Talent Management and Governance team managers on related adhoc team initiatives.
                                        • +
                                        +

                                        +

                                        Requirements

                                        +
                                        +Knowledge and Skill Requirements:

                                        +
                                          +
                                        • Proven ability to lead, manage and implement large scale project initiatives while working with multiple stakeholders
                                        • +
                                        • Demonstrated experience of working in a fast-paced work environment through strong communication, organizational, planning and time management skills
                                        • +
                                        • Strong presentation skills with the ability to create concise and compelling story telling for Senior Leadership team (L11+ level audience)
                                        • +
                                        • Demonstrated discretion and due diligence in preparing reports for an executive audience
                                        • +
                                        • Strategic thinker with strong analytical and problem-solving skills
                                        • +
                                        • Self-starter and have ability to anticipate roadblocks and appropriate solutions
                                        • +
                                        • Strong organizational skills, with the ability to excel in a fast-paced environment and run with multiple deadlines and priorities
                                        • +
                                        • Strong leadership and influence, with self-motivated and ability to work under pressure
                                        • +
                                        • Ability to work collaboratively, communicate effectively (written and speaking), provide direction and build relationships across teams and functions
                                        • +
                                        +

                                        Education and Other Qualifications:

                                        +
                                          +
                                        • University undergraduate degree or technical certificate in Business Management, Information Technology, Data Management or other quantitative area of study.
                                        • +
                                        • ScrumMaster Certification or PMP certificate
                                        • +
                                        • The candidate must have 5+ years of relevant experience project management, agile practices, financial services and/or Data Analytics.
                                        • +
                                        • Bilingual English / French is an asset
                                        • +
                                        -
                                        ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/554190317/,feed-importer@jobboard.io,,,,2022-02-05T15:38:57.154Z,False,0,19,80,https://talenthub.vectorinstitute.ai/jobs/102876636-data-scientist-at-telus,,expired,2022-01-06T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -68edd44a-7919-4282-b61b-e70b8b370bed,102956016,RBC,"Machine Learning Software Engineer, Summer 2022 Co-op Opportunities",on_site,"Ontario, Canada",2022-01-06T19:44:47.583Z,"

                                        Machine Learning Software Engineer Co-op

                                        -

                                        LOCATION: Virtual

                                        -

                                        What’s the opportunity?

                                        -

                                        We’re looking for an enthusiastic software engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer, you’ll be involved a project end to end – everything from data pre-processing to implementing machine learning algorithms and front-end development.

                                        -

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        -

                                        Your responsibilities include:

                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14122242/senior-analyst-strategy-planning-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-08T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/90122670-senior-analyst-strategy-planning-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14122242/senior-analyst-strategy-planning-toronto-ca/,expired,2021-10-21T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +b64f3627-d8be-4533-802b-9280e7b327ce,90138231,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2021-10-21T20:48:09.778Z,"

                                        What\'s the opportunity?

                                        +
                                        +

                                        We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                        +

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        +

                                        Your responsibilities include:

                                        • Building machine learning-based software solutions for solving important problems;
                                        • +
                                        • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        -

                                        You’re our ideal candidate if you:

                                        +

                                        You\'re our ideal candidate if you:

                                          -
                                        • Are working on a Bachelors or Masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;
                                        • -
                                        • Have some software development experience (including co-op and internships);
                                        • -
                                        • Have experience with writing software in one of the major languages such as C++, C#, Java, Python;
                                        • -
                                        • Have familiarity with the Unix command line and bash scripting;
                                        • +
                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • +
                                        • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                        • +
                                        • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                        • +
                                        • Familiarity with the Unix command line and bash scripting;
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • -
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;
                                        • +
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                        • +
                                        • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                        • +
                                        • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                        -

                                        What's in it for you?

                                        +
                                        +

                                        What\'s in it for you?

                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • -
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • +
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • +
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • +
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        -

                                        About Borealis AI

                                        +

                                        About Borealis AI

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        -

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        -

                                        TAD2022

                                        -

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Virtual
                                        Address: Virtual
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: [[filter7]]
                                        Career Level: Student Job
                                        Application Deadline: 02/04/2022
                                        Platform: Technology and Operations
                                        Req ID: 438437
                                        Ad Code(s):

                                        ",,https://jobs.rbc.com/ca/en/job/438437/Machine-Learning-Software-Engineer-Summer-2022-Co-op-Opportunities,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2022-02-05T19:44:49.980Z,False,0,50,184,https://talenthub.vectorinstitute.ai/jobs/102956016-machine-learning-software-engineer-summer-2022-co-op-opportunities-at-rbc,,expired,2022-01-06T19:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -a1751709-e91e-4f5e-8da2-c17ce7a3ad2b,105068733,Loblaw Companies Ltd.,Senior Business and Consumer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2022-01-20T17:55:05.222Z,"
                                        -
                                        -
                                        -

                                        Referred applicants should not apply directly to this role.

                                        -

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        -

                                        -

                                        -

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        -

                                        -

                                        Inspired by food? Committed to excellent service? So are we.
                                        At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                        We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                        Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                        -

                                        -

                                        Why is this role important?

                                        -

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you. Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for intelligent, passionate and collaborative team members for our Data & Analytics group.

                                        -

                                        -

                                        This is an exciting time to join our team – we are delving into our vast data wealth to become a more competitive retailer that helps Canadians Live Life Well. If you are looking to join a company that offers opportunity, excellent leadership, ongoing learning and training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                        -

                                        -

                                        We are looking for a Senior Business and Consumer Insights Analyst that will take the lead on generating business reports, creating presentations, and communicating the results of campaign measurement output to Loblaw Media partners and clients. The role therefore requires business acumen and is front-facing, but will require technical skills in running code in GCP (BigQuery and Dataproc) and running and updating dashboards in Google DataStudio.

                                        -

                                        -

                                        The candidate will be a self-starter who has passion for providing various ways to improve business effectiveness. This is a hands-on role and requires applying techniques to solve real problems and see them into production to bring business value.

                                        -

                                        -

                                        What You'll Bring:

                                        -

                                        • Bachelor or Master degree in an analytical/business field of study (e.g. Computer Science, Mathematics, Statistics, Economics, Engineering, Business, Business Analytics, Marketing Analytics)

                                        -

                                        • 3+ years of related work experience

                                        -

                                        • Experience with SQL, Python

                                        -

                                        • Experience working in cloud environments, GCP preferred

                                        -

                                        • Essentials for this role: Critical thinking, problem-solving, storytelling skills, the ability to take initiative, multi-task and work in a fast-paced environment, and strong detail orientation

                                        -

                                        • A team player and self-starter

                                        -

                                        -

                                        What You Can Expect:

                                        -

                                        We are a team of diverse and ambitious data scientists and analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                        -

                                        -

                                        Other perks of joining Loblaw:

                                        -

                                        • Competitive compensation and benefits package

                                        -

                                        • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

                                        -

                                        • A flexible work environment which values balance

                                        -

                                        • Colleague Discount Program

                                        -

                                        • Tuition reimbursement program

                                        -

                                        • Employee Share Ownership plan

                                        -

                                        • Pension Plan

                                        -

                                        -

                                        If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                        -

                                        -

                                        We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                        -

                                        -

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        -

                                        -

                                        Employment Type:

                                        -

                                        Full time

                                        -

                                        -

                                        Type of Role:

                                        -

                                        -

                                        Regular

                                        -

                                        -

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                        -

                                        -

                                        Please Note:

                                        -

                                        -

                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process

                                        -

                                        -

                                        -

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        -

                                        -

                                        -

                                        -

                                        Employment Type:

                                        Full time

                                        -

                                        -

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                        -

                                        -

                                        Please Note:  
                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                        -
                                        -
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business-and-Consumer-Insights-Analyst_R2000228528?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-02-07T18:00:08.744Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/105068733-senior-business-and-consumer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business-and-Consumer-Insights-Analyst_R2000228528?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-01-20T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, -8c1c88d7-88d0-4852-bb26-c89b3e8bab17,106545291,FreshBooks,Data Engineer - Support,full,Canada - Remote,2022-02-01T05:02:09.333Z,"

                                        It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                        -

                                        -

                                        The Opportunity

                                        -

                                        FreshBooks is seeking a Data Engineer, Support to join our team. As part of the Data and Analytics Team reporting directly to the Data Engineering Manager, you will help us design, implement, and operate the future of our data engineering support infrastructure and processes, which support data usage across the organization. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                        -

                                        -

                                        Specifically in this position you will:

                                        +

                                        Inclusion and Equal Opportunity Employment

                                        +

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",,https://www.borealisai.com/en/careers/employment/5022762002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-10-28T16:46:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/90138231-machine-learning-software-engineer-at-borealis-ai,,expired,2021-10-21T20:48:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e506431b-7f5c-4719-a908-75d0fa660bb7,90142417,Accenture,Data Engineering Senior Manager,on_site,"Alberta - Calgary,British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-10-21T22:11:20.929Z,"

                                        Job Description

                                        Data Engineering Sr Manager

                                        +

                                        +

                                        Location: Toronto/ Montreal/Ottawa

                                        +

                                        +

                                        WORK YOU’LL DO

                                        +

                                        +

                                        Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

                                        +

                                          -
                                        • Work hands-on with our data and analytics technology stack to determine incidents’ root cause, trace and fix bugs, improve data pipelines, and build automation.
                                        • -
                                        • Collaborate with data engineers, data scientists, and data analysts to support SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                        • -
                                        • Help design, implement, and support a robust incident management framework and work closely with data product owners, business stakeholders and executives to provide timely and accurate communications.
                                        • -
                                        • Provide support to data engineers and our larger data & analytics team regarding our methodologies and standards which keep monitoring, observability and dev/ops best practices as a primary focus.
                                        • -
                                        • Create & automate processes wherever possible to handle monitoring, alerts and re-runs.
                                        • -
                                        • Be part of a first response/on-call support program with internal teams and/or external vendors.
                                        • -
                                        • Participate and share your ideas in technical design and architecture discussions.
                                        • -
                                        • Ship your code with our continuous integration process.
                                        • -
                                        • Develop your craft and build your expertise in data engineering.
                                        • +
                                        • Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.
                                        • +
                                        • Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers
                                        • +
                                        • Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated
                                        • +
                                        • Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders
                                        • +
                                        • Manage client expectations in terms of overall delivery along with Delivery leads on the ground
                                        • +
                                        • Establish methodology and accelerators to reduce initiation efforts from engagement to engagement
                                        -

                                        -We think you'll be an amazing fit for this position if your application can demonstrate: -

                                          -
                                        • Enthusiasm for data engineering!
                                        • -
                                        • Experience creating and maintaining data pipelines
                                        • -
                                        • Strong programming skills in SQL and Python
                                        • -
                                        • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                        • -
                                        • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                        • -
                                        • Experience with Airflow (Workflow Management Platform)
                                        • -
                                        • Experience with industry ETL & BI tools (Fivetran, Informatica, Datastage, Looker, Tableau, PowerBI etc.)
                                        • -
                                        • Familiarity with data pipeline monitoring and observability practices
                                        • -
                                        • Experience with Git workflows, continuous integration and automated build pipelines
                                        • -
                                        • Experience working in an Agile environment
                                        • +
                                        • Develop an overarching and compelling sales narrative around the offering
                                        • +
                                        • Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise
                                        • +
                                        • Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture
                                        • +
                                        • Bilingual French an asset
                                        -

                                        What you might bring:

                                        +

                                        +

                                        JOB DESCRIPTION

                                        +

                                        +

                                        Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

                                        +
                                        Show more
                                        +


                                        +

                                        Qualifications

                                        +

                                        Basic Qualifications

                                        +

                                          -
                                        • A strong practitioner of test-driven (and behaviour driven) development
                                        • -
                                        • Experience with Docker, Kubernetes, Terraform, and other DevOps and infrastructure as code technologies.
                                        • -
                                        • A track record of staying at the forefront of data engineering technology.
                                        • -
                                        • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Kafka, Dataflow, Apache Beam, Spark, etc.)
                                        • -
                                        • Understanding of data warehouse modeling fundamentals (e.g. dimensional modeling, 3NF, star schema) and application relational database concepts (e.g. normalization, referential integrity)
                                        • -
                                        • Subject matter data expertise in the SaaS industry.
                                        • -
                                        • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                        • +
                                        • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                        • +
                                        • Minimum 5+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

                                        • +
                                        • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                        • +
                                        • Minimum 5+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                        • +
                                        • Minimum 5++ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                        • +
                                        • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                        +

                                        +

                                        Preferred Skills

                                        +

                                        +

                                        Minimum 4+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

                                        +

                                        Minimum 4+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

                                        +

                                        Minimum 5+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

                                        +

                                        Minimum 4+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

                                        +

                                        Minimum 4+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

                                        +

                                        Minimum 4+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

                                        +
                                        +

                                        Locations

                                        Alberta - Calgary,British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                        +
                                        +
                                        +

                                        Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                        +
                                        +

                                        Equal Employment Opportunity Statement

                                        +

                                        All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                        +

                                        Accenture is committed to providing veteran employment opportunities to our service men and women.

                                        +

                                        Requesting An Accommodation

                                        +

                                        Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                        +

                                        If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                        +

                                        Other Employment Statements

                                        +

                                        Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                        +

                                        The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                        ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00052568_en&title=Data+Engineering+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-10-25T20:51:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/90142417-data-engineering-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00052568_en&title=Data+Engineering+Senior+Manager,expired,2021-10-21T22:11:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +8cdf3a16-54c4-48b0-8877-bd2ca1bbaf02,90231616,Scotiabank,Data & Analytics New Graduate Rotational Program - 2022,on_site,Canada : Ontario : Toronto,2021-10-22T04:46:24.556Z,"

                                        -

                                        Why Join Us

                                        -

                                        We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one.

                                        -

                                        What You’ll Love About Working Here:

                                        -
                                          -
                                        • Three-week onboarding that brings you up to speed on our brand, product, and most importantly, our customers. It’s an awesome opportunity to dive in and understand what we’re all about and build your network within the company. Plus, there are prizes!
                                        • -
                                        • Our ever-expanding, global team cares about making accounting incredibly easy for business owners around the world.
                                        • -
                                        • Amazing growth and mentorship opportunities from a team with a laser-focused mission of shipping extraordinary experiences.
                                        • -
                                        • Collaborative remote or hybrid model with a global team
                                        • -
                                        • A work/life balance you can brag to your friends about:
                                        • -
                                            -
                                          • Two weeks parental paid leave and paid leave top-up
                                          • -
                                          • Health & dental coverage tailored to your local office
                                          • -
                                          • Generous time off - including vacation, volunteer, and innovation days
                                          • -
                                          • Health and Wellness credits
                                          • -
                                          • Learning and development opportunities that are both in-house and external
                                          • -
                                          • Retirement savings programs matched to your local office
                                          • -
                                          • Stock options for all full-time employees
                                          • -
                                          -
                                        • And finally, we have fun at work...Want to start a chess team? Awesome. Want to host a homemade-ice-cream-making Zoom night? Whatever your passion is, bring it to FreshBooks, tell others about it, and enjoy what you do every day.
                                        • -

                                        -

                                        Remote? Local? Sure!

                                        -

                                        Although the data team at large is mostly based out ot the Toronto (Canada) office, this position can be 100% remote if desired, or a blend of remote and in-office (COVID policies pending) should successful candidates live near any of our amazing offices: Toronto (Canada), Amsterdam (Netherlands), Raleigh (USA), San Luis Potosi (Mexico), Zagreb (Croatia), and Frankfurt (Germany).

                                        -

                                        Apply now

                                        -

                                        Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                        -

                                        FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                        -

                                        FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

                                        ",,https://boards.greenhouse.io/freshbooks/jobs/3738461,feed-importer@jobboard.io,,,,2022-02-08T05:07:51.743Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/106545291-data-engineer-support-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/3738461,expired,2022-02-01T05:02:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -6acce68a-d3d3-4a88-b87d-374651b68b5a,69406468,BMO Financial Group,Business Systems Analyst- Market Risk Technology,on_site,"Toronto, ON M8X 1C4, Canada",2021-06-24T22:05:55.044Z,"
                                        -

                                        Address:

                                        100 King Street West

                                        -

                                        -

                                        Job Family Group:

                                        Technology

                                        -

                                        -

                                        Strong understanding Market Risk including

                                        -

                                        - VaR

                                        -

                                        - Stress Testing

                                        -

                                        - FRTB

                                        -

                                        Ability to work independently

                                        -

                                        Work in high pressure environment

                                        -

                                        Good knowledge of SQL

                                        -

                                        -

                                        -

                                        -

                                        -

                                        Liaises with stakeholders to understand problems and opportunities and, recommends solutions to enable the achievement of organizational goals. Builds exceptional relationships with business partners and internal stakeholders. Analyzes data and creates documents and plans in service of informing, advising, or updating stakeholders. Ensures the requirements map to a real business need, are approved by all relevant stakeholders, and meet essential quality standards. Participates in reviews or inspections, in collaboration with the project team, to ensure the quality of work products.

                                        -
                                          -
                                        • Manages complexity across business value, technology, and interaction models.
                                        • -
                                        • Possesses a deep understanding and problem solving ability of various complexities.
                                        • -
                                        • Develops innovative approaches to create solutions to resolve problems and significant issues.
                                        • -
                                        • Recommends and implements solutions based on analysis of issues and implications for the business.
                                        • -
                                        • Identifies emerging issues and trends to inform decision-making.
                                        • -
                                        • Contributes to the development of the seed funding request by ensuring project scope and benefits are clearly articulated and risks are identified.
                                        • -
                                        • Enables groups to successfully accept changes by informing stakeholders of their implications; recommends actions as appropriate.
                                        • -
                                        • Prepares and delivers presentations for senior leaders.
                                        • -
                                        • Acts in a larger project planning capacity.
                                        • -
                                        • Audits the quality of reports submitted by analysts and provides related coaching and support.
                                        • -
                                        • Supports the Request for Information (RFI) or Request for Proposal (RFP) with vendors if required.
                                        • -
                                        • Leads the preparation of end user reference materials and prepares end-user training materials.
                                        • -
                                        • Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs.
                                        • -
                                        • Ensures system specifications meet expectations/requirements, and negotiates solutions.
                                        • -
                                        • Creates documentation to ensure the supportability of analyses.
                                        • -
                                        • Maintains existing requirements to ensure that current-state needs are known.
                                        • -
                                        • Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
                                        • -
                                        • Identifies, analyzes, and interprets trends or patterns in complex data sets.
                                        • -
                                        • Filters and “cleans” data, and reviews computer reports, printouts and performance indicators to locate and correct code problems.
                                        • -
                                        • Remains alert to new techniques for insights, analytics, and data visualization, and devises new ways of applying them.
                                        • -
                                        • Interprets data, analyzes results using statistical techniques and provide ongoing reports.
                                        • -
                                        • Recommends approaches to streamline and integrate technological processes in the organization to improve overall efficiency.
                                        • -
                                        • Facilitates discussions and follows a structured approach to plan, elicit, analyze, document, communicate and manage requirements with stakeholders.
                                        • -
                                        • Provides analytical support and insights.
                                        • -
                                        • Identifies opportunities to strengthen business analysis capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks across BMO.
                                        • -
                                        • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                        • -
                                        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                        • -
                                        • Provides specialized consulting, analytical and technical support.
                                        • -
                                        • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                        • -
                                        • Works independently and regularly handles non-routine situations.
                                        • -
                                        • Broader work or accountabilities may be assigned as needed.

                                          Qualifications:

                                          -
                                        • -
                                        • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                        • -
                                        • -

                                          Strong understanding Market Risk including:

                                          -

                                          - VaR

                                          -

                                          - Stress Testing

                                          -

                                          - FRTB

                                          -

                                          - Good knowledge of SQL

                                          -
                                        • -
                                        • Possesses analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                        • -
                                        • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                        • -
                                        • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                        • -
                                        • Demonstrates writing and documentation skills.
                                        • -
                                        • Understands and can explain to others the core processes involved in their area of support.
                                        • -
                                        • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                        • -
                                        • Verbal & written communication skills - In-depth.
                                        • -
                                        • Collaboration & team skills - In-depth.
                                        • -
                                        • Analytical and problem solving skills - In-depth.
                                        • -
                                        • Influence skills - In-depth.
                                        • -
                                        • Data driven decision making - In-depth.
                                        • -
                                        -

                                        -

                                        -

                                        We’re here to help

                                        -

                                        -

                                        At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                        -

                                        -

                                        As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                        -

                                        -

                                        To find out more visit us at https://jobs.bmo.com/ca/en.

                                        -

                                        -

                                        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                        -
                                        ",,https://jobs.bmo.com/ca/en/job/R210010341/Business-Systems-Analyst-Market-Risk-Technology,feed-importer@jobboard.io,,,,2021-07-12T22:38:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/69406468-business-systems-analyst-market-risk-technology-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210010341/Business-Systems-Analyst-Market-Risk-Technology,expired,2021-06-24T22:05:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bbd75327-cc3d-4c03-9b75-ac6d16c23c92,88875093,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2021-10-15T00:37:03.514Z,"

                                        What's the opportunity?

                                        -
                                        -

                                        We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                        -

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        -

                                        Your responsibilities include:

                                        -
                                          -
                                        • Building machine learning-based software solutions for solving important problems;
                                        • -
                                        • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                        • -
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • -
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • -
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • -
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • -
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        • -
                                        -

                                        You're our ideal candidate if you:

                                        -
                                          -
                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • -
                                        • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                        • -
                                        • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                        • -
                                        • Familiarity with the Unix command line and bash scripting;
                                        • -
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • -
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                        • -
                                        • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                        • -
                                        • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                        • -
                                        -
                                        -

                                        What\'s in it for you?

                                        -
                                          -
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • -
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        About Borealis AI

                                        -

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        -

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",,https://www.borealisai.com/en/careers/employment/5022762002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-10-21T20:53:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/88875093-machine-learning-software-engineer-at-borealis-ai,,expired,2021-10-15T00:37:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -b0ac2b43-2c4e-4110-ac4c-e0577e90353f,28984690,Georgian,Senior Software Engineer,on_site,"Toronto, ON, Canada",2020-01-31T20:24:57.644Z,"

                                        Georgian Partners is a thesis-driven growth equity firm that invests in business software companies across all industries. Our mission is to accelerate the adoption of key technology trends by all the software companies we invest in and partner with.

                                        -

                                        We are looking for an experienced software engineer to join our team, develop software products, work with startups, and work with our scientists to apply the latest research in machine learning to products in industries such as healthcare, energy, cybersecurity, and education.

                                        -

                                        What you'll be doing:

                                        -
                                          -
                                        • Working with business stakeholders to collect, clarify and summarize requirements
                                        • -
                                        • Designing, building and optimizing software products to support investment workflow
                                        • -
                                        • Designing, building and optimizing software products in our thesis areas
                                        • -
                                        • Working with applied research scientists to plan, design and implement software components for machine learning projects, such as feature engineering pipelines and machine learning models.
                                        • -
                                        • Developing software prototypes in areas such as AutoML, NLP, explainability of machine learning models, or transfer learning.
                                        • -
                                        • Designing and building infrastructure to improve the efficiency of machine learning research and experimentation.
                                        • -
                                        • Working with machine learning scientists to develop processes, monitoring, and testing automation frameworks to ensure data and machine learning model quality.
                                        • -
                                        • Working with machine learning scientists to set up and run experiments in AWS or other cloud environments
                                        • -
                                        • Working with machine learning scientists, engineers, and architects at our portfolio companies to ensure technology transfer.
                                        • -
                                        • Performing code reviews and testing to ensure software quality is high and requirements are met.
                                        • -
                                        • Documenting and presenting findings and results internally and to our portfolio companies.
                                        • -
                                        • Performing system architecture reviews with portfolio companies.
                                        • -
                                        -

                                        You have:

                                        -
                                          -
                                        • 3+ years of work experience with distributed software and machine learning system design and implementation, ideally in a high growth software development environment.
                                        • -
                                        • BS/MS in Computer Science or a related discipline with proven experience as a software developer or software engineer.
                                        • -
                                        • A deep understanding of data structures and algorithms.
                                        • -
                                        • Strong software development skills in Python, Java or C++. Python experience is highly desired.
                                        • -
                                        • Good working knowledge of RDBMS, Data Warehouse, NoSQL and Object storage technologies.
                                        • -
                                        • Proficiency in software engineering processes, quality control, and continuous integration.
                                        • -
                                        • Hands-on experience with large-scale data-driven systems.
                                        • -
                                        • Hands-on experience with cloud platforms such as AWS, Google Cloud and Azure.
                                        • -
                                        • Experience with common machine learning tool kits such as Numpy, Pandas, Scikit-learn and Matplotlib is highly desired.
                                        • -
                                        • Experience with big data technologies such as Hadoop and Spark is desirable.
                                        • -
                                        -

                                        Join us if you...

                                        -
                                          -
                                        • Love to see the impact of your work
                                        • -
                                        • Love to learn how venture capital works and consider building your own startup in the future
                                        • -
                                        • Love to explore different industry verticals
                                        • -
                                        • Love to work with people with diverse expertise in a flat team hierarchy where your opinion is valued
                                        • -
                                        • Love to learn Machine Learning and Data Science
                                        • +

                                          Requisition ID: 128381

                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                          +

                                          +

                                          +

                                          Data & Analytics Rotational New Graduate Program

                                          +

                                          Start Date: June 2022

                                          +

                                          Location: Toronto, Ontario

                                          +

                                          +

                                          What can I expect from the program?

                                          +

                                          The Data & Analytics program is a 24-month rotational program that is designed to introduce recent grads to different parts of Scotiabank’s Analytics & Innovation and Data Office business lines. You will begin your journey by gaining a solid understanding of the Bank and will work closely with our program manager to customize your experience based on your technical skills, interest and our business needs. Depending on your passion you will get a deep dive in data engineering, data science, data analytics technical architecture and business. This program is not for the faint of heart, as our goal is to provide you with 5 years of training & work experience within an intense (and incredibly fun) 24 months.

                                          +

                                          Throughout the 24 months you will get to work in our offices across the GTA (this includes Scarborough and downtown Toronto). We are looking for individuals who don’t believe in geographical barriers and are willing to travel.

                                          +

                                          After successfully completing the program you will graduate into a role where you will be responsible for driving change and innovation for our customers and ultimately the world.

                                          +

                                          +

                                          I am?

                                          +

                                          You are graduating in April 2022 or are a recent grad who dreams in code, and gets excited by continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions, and tinkering with new and old technologies. You thrive in a fast-paced ever-changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                          +

                                          You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You speak Spanish, or have the willingness to learn. You are not afraid to roll up your sleeves to get things done!

                                          +

                                          More specifically, you have some or all of the following:

                                          +
                                          • Strong technical skills with Python, Java, or Scala
                                          • Solid knowledge of SQL
                                          • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                          • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                          -

                                          If this sounds like an opportunity you are interested in, we would love to chat. Please apply by telling us why you think you would be a great fit for this role.

                                          -

                                          Georgian Partners is passionate about creating a diverse and inclusive workplace. We promote equality and strive to provide all current and prospective employees with support and opportunities. Reasonable accommodations are available to job applicants on request and throughout the application process. If you require an accommodation, please contact kchristie@georgianpartners.com.

                                          ",,https://gp.applytojob.com/apply/sr4aoMkrI8/Senior-Software-Engineer,aimasters@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2020-03-16T20:25:00.000Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/28984690-senior-software-engineer-at-georgian,,expired,2020-01-31T20:24:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -7d63379b-9aa5-4ec0-99e3-3e6c4ca0b5c9,107472650,TD Bank Group,Business Insights & Analytics (Analyst/Sr. Analyst/Manager),on_site,"Toronto, ON",2022-02-04T20:33:03.894Z,"
                                          +

                                          +

                                          How do I apply?

                                          +

                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                          +

                                          +

                                          1) Complete your PLUM Profile here

                                          +

                                          2) Take a screenshot of your completed PLUM profile.

                                          +

                                          3) Complete a very short one-way video interview by clicking here. If you have already completed the one-way video interview for this job, you do not need to complete it again.

                                          +

                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                          +

                                          +

                                          +

                                          Location(s): Canada : Ontario : Toronto

                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Data-&-Analytics-New-Graduate-Rotational-Program-2022-ON/551574817/,feed-importer@jobboard.io,,,,2021-10-29T04:51:07.819Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/90231616-data-analytics-new-graduate-rotational-program-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-&-Analytics-New-Graduate-Rotational-Program-2022-ON/551574817/,expired,2021-10-22T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +709a72a0-5b50-43b2-a68b-ef6aa6e875ee,90710468,Sun Life Financial,"Lead Data Scientist/ Director, Data Science",on_site,"Ontario, Canada",2021-10-25T06:32:03.594Z,"
                                        +
                                        +
                                        +

                                        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                        +

                                        +

                                        +

                                        Job Description:

                                        +

                                        +

                                        Role Summary

                                        +

                                        +

                                        As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                        +

                                        +

                                        Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                        +

                                        +

                                        The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                        +

                                        +

                                        What will you do?

                                        +
                                          +
                                        • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                        • +
                                        • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                        • +
                                        • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                        • +
                                        • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                        • +
                                        • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                        • +
                                        +

                                        +

                                        What do you need to succeed?

                                        +
                                          +
                                        • Genuine interest in life insurance and learning the business

                                        • +
                                        • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                        • +
                                        • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                        • +
                                        • 3+ years experience leading data science projects

                                        • +
                                        • 3+ years experience in managing and leading a small team of data scientists

                                        • +
                                        • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                        • +
                                        • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                        • +
                                        +

                                        +

                                        What will be nice to have?

                                        +
                                          +
                                        • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                        • +
                                        • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                        • +
                                        • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                        • +
                                        • Experience with data analytics and data visualization best practices

                                        • +
                                        +

                                        +

                                        What’s in it for you?

                                        +
                                          +
                                        • Competitive salary and bonus structure influenced by market range data

                                        • +
                                        • 20 days vacation per year and an innovative sabbatical program

                                        • +
                                        • A friendly, collaborative and inclusive culture

                                        • +
                                        • Being part of our Analytics community, where we share best practices and broaden skill sets

                                        • +
                                        • Flexible Benefits from the day you join to meet the needs of you and your family

                                        • +
                                        • Pension, stock and savings programs to help build and enhance your future financial security

                                        • +
                                        • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                        • +
                                        +

                                        +

                                        +

                                        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                        +

                                        +

                                        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                        +

                                        +

                                        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                        +

                                        +

                                        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                        +

                                        +

                                        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                        +

                                        +

                                        Salary Range:

                                        104,000/104 000 - 171,700/171 700

                                        +

                                        Job Category:

                                        Advanced Analytics

                                        +

                                        Posting End Date:

                                        07/11/2021
                                        +
                                        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-08T06:37:01.820Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/90710468-lead-data-scientist-director-data-science-at-sun-life-financial,,expired,2021-10-25T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +6875b929-d4b8-484e-b510-1e12df9f8768,90804264,RBC,Data Analyst - Winter 2022 (8 Month term),on_site,"Toronto, Ontario, Canada",2021-10-26T02:39:15.532Z,"
                                        +

                                        What is the opportunity?

                                        +

                                        RBC is hiring for an exciting Data Analyst (Co-op), Customer Relationship Management (CRM) Data Enablement & Reporting role. In this role you will report into the Senior Manager, CRM Data Enablement & Reporting and collaborate with Channel partners and Marketing leads across Personal and Commercial Banking platforms to help drive business decisions by assisting in the development of self-serve reporting solutions.

                                        +

                                        +

                                        What will you do?

                                        +

                                        - Develop CRM and campaign reports using tools such as SAS and Tableau required for Canadian Banking and Insurance to meet business and financial imperatives

                                        +

                                        - Participate in requirement and campaign design meetings to identify success criteria and Key Performance Indicators (KPIs) for measurement

                                        +

                                        - Work with CRM Data Enablement & Reporting team members on report automation and streamline existing reporting processes

                                        +

                                        - Explore and integrate online marketing data via tools such as Starburst Trino to new and existing campaign reports to measure effectiveness of RBC’s online and mobile channels.

                                        +

                                        - Collaborate with key stakeholders to ensure reporting is developed accurately and on time

                                        +

                                        - Regular maintenance of web based report repository to ensure report and dashboard links are updated and new contents are uploaded

                                        +

                                        +

                                        What do you need to succeed?

                                        +

                                        +

                                        Must-have:

                                        +

                                        - Working towards a degree in a quantitative discipline (e.g. Computer Science/Math/Statistics)

                                        +

                                        - Experience with data visualization tools such as Tableau or Google Data Studio

                                        +

                                        - Technical knowledge on SQL or SAS (Base SAS 9.4/Enterprise Guide/SAS Studio)

                                        +

                                        - Strong business acumen and analytical, communication and presentation skills

                                        +

                                        - Exceptional problem solving skills and ability to conceptualize strategy

                                        +

                                        - Attention to detail, organization, ability to multi task and time management is critical

                                        +

                                        +

                                        Nice-to-have:

                                        +

                                        - Relevant experience in marketing or financial reporting

                                        +

                                        - Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management

                                        +

                                        +

                                        What’s in it for you?

                                        +

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        +

                                        - Work in a dynamic, collaborative, progressive and high performing culture

                                        +

                                        - Leaders who support your development through coaching and managing opportunities

                                        +

                                        - Opportunities to do challenging work

                                        +

                                        +

                                        HO2022

                                        +

                                        About RBC
                                        Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries.. For more information, please visit rbc.com.

                                        +

                                        Inclusion and Equal Opportunity Employment
                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        +


                                        JOB SUMMARY

                                        +

                                        City: [[Toronto]]
                                        Address: [[88 Queens Quay West]]
                                        Work Hours/Week: [[37.5]]
                                        Work Environment: [[Office]]
                                        Career Level: [[Student Job]]
                                        Position Level: [[PL10]]
                                        Application Deadline: [[January 20, 2018]]
                                        Req ID: [[153322]]

                                        +

                                        +
                                        ",,https://jobs.rbc.com/ca/en/job/411756/Data-Analyst-Winter-2022-8-Month-term,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-01T18:00:00.000Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/90804264-data-analyst-winter-2022-8-month-term-at-rbc,https://jobs.rbc.com/ca/en/job/411756/Data-Analyst-Winter-2022-8-Month-term,expired,2021-10-26T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +709b2d0b-11a4-41fc-979b-8f3c7efa799f,91201021,TD Bank Group,Data Management Specialist,on_site,"Toronto, ON",2021-10-28T19:51:02.614Z,"

                                        Company Overview

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        @@ -4803,81 +5255,59 @@ b0ac2b43-2c4e-4110-ac4c-e0577e90353f,28984690,Georgian,Senior Software Engineer,

                                        Department Overview

                                        -

                                        COMPANY OVERVIEW

                                        -

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        -

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        -

                                        Building a World-Class Team at TD

                                        -

                                        We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                        -

                                        DEPARTMENT OVERVIEW

                                        -

                                        Our Leaders are committed to people development, career advancement and value diversity and inclusion.
                                        Are you looking for an exciting opportunity to?

                                        -
                                          -
                                        • Transform the way we operate as a bank?
                                        • -
                                        • Make a big impact on how we operate with data?
                                        • -
                                        • Develop and deepen your knowledge of our core business, products, and operations?
                                        • -
                                        -

                                        Then the Personal Banking Data & Analytics (PBD&A) team is your destination.

                                        +

                                        Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                        +

                                        We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                        +

                                        If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                        Job Description

                                        -

                                        JOB DESCRIPTION
                                        Take an integrated approach, as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup, and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement.

                                        +

                                        Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                        +

                                        Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

                                        +

                                        As a Business Information Management Specialist, you will:

                                          -
                                        • Coordinate with analysts, data scientists, and product partners to provide leadership and coaching on analytical techniques and data analysis
                                        • -
                                        • Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address our greatest areas of opportunity
                                        • -
                                        • Provide business expertise to place context around analytics discovery
                                        • -
                                        • Educate business partners and build awareness on how to leverage data & analytics to drive decision-making that will propel the business forward
                                        • -
                                        • Develop analytical solutions to support insight generation that aligns to strategy and drives shareholder value
                                        • -
                                        • Lead large complex analytics projects and identify opportunities to further optimize our current product suite through self-initiated insights
                                        • -
                                        • Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels
                                        • -
                                        • Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)
                                        • -
                                        • Challenge analytical thinking within products and guide the team through tactical analytic plans, while leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation
                                        • -
                                        • Lead cross product analytics initiatives and projects (e.g. R&D programs, Customer Lifetime Value)
                                        • -
                                        • Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking
                                        • +
                                        • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
                                        • +
                                        • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                        • +
                                        • Develop business requirements; design and implement complex business data information management frameworks
                                        • +
                                        • Apply automation and innovation on data platforms and on new development projects / initiatives
                                        • +
                                        • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                        • +
                                        • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                        • +
                                        • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                        Requirements

                                        -

                                        Qualifications

                                        -
                                          -
                                        • Strong ownership mentality, proactive attitude, and ability to get things done
                                        • -
                                        • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
                                        • -
                                        • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                        • -
                                        • Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
                                        • -
                                        • Ability to translate complex problems and solutions into a simple story, tailored to executive audiences
                                        • -
                                        • Excellent interpersonal and communication skills, both written and verbal
                                        • -
                                        • Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry
                                        • -
                                        • Understanding of products and strategies to challenge business cases and analyses
                                        • -
                                        • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                        • -
                                        • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                        • -
                                        • Strong understanding of test and experimental design (Test and Learn)
                                        • -
                                        • Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally
                                        • -
                                        -

                                        Technical Experience:

                                        -
                                          -
                                        • Some years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                        • -
                                        • Knowledge of analytical tools such as Python, PySpark, Jupyter Notebooks, data mining tools such as SQL, and Microsoft Applications (SSMS, Azure cloud, Office suite) and Bitbucket are all assets
                                        • -
                                        • Experience with Hadoop (Hive, Pig, Impala) or other distributed file systems an asset
                                        • -
                                        -

                                        Demonstrated knowledge in some of the following areas:

                                        +

                                        What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                          -
                                        • Unsupervised Learning techniques
                                        • -
                                        • Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
                                        • -
                                        • Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
                                        • -
                                        • Data visualization and storytelling in Tableau
                                        • +
                                        • Undergraduate degree or technical certificate
                                        • +
                                        • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                        • +
                                        • Sound conceptual knowledge in your area of specialty
                                        • +
                                        • Fluent multiple programming languages
                                        • +
                                        • Expert level analytical and problem-solving skills
                                        • +
                                        • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                        • +
                                        • In-depth knowledge of competitor and market trends
                                        • +
                                        • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                        • +
                                        • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                        • +
                                        • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
                                        • +
                                        • Act as a brand champion for our business area / function and TD, both internally and externally
                                        -

                                        Educational Requirements/Accreditations:

                                        -
                                        • Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience

                                        Additional Information

                                        -ADDITIONAL INFORMATION
                                        Note: We are hiring for multiple roles and seniority levels.

                                        -

                                        HOURS

                                        -

                                        Monday-Friday, standard business hours.

                                        -

                                        INCLUSIVENESS

                                        -

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        #businessIntelligence

                                        +
                                        Must Have:
                                        +
                                          +
                                        • 4 years of ETL experience
                                        • +
                                        • 4 years of data modeling and SQL
                                        • +
                                        +

                                        Nice to Have:

                                        +
                                          +
                                        • Experience working in Python
                                        • +
                                        • Big Data and Cloud Data
                                        • +
                                        • Azure, Spark and Hive working experience
                                        • +
                                        +
                                        #dataengineer

                                        Hours

                                        @@ -4886,1223 +5316,1311 @@ b0ac2b43-2c4e-4110-ac4c-e0577e90353f,28984690,Georgian,Senior Software Engineer,

                                        Inclusiveness

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -
                                        ",,https://jobs.td.com/en-CA/jobs/14646661/business-insights-analytics-analyst-sr-analyst-manager-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-08T15:40:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/107472650-business-insights-analytics-analyst-sr-analyst-manager-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14646661/business-insights-analytics-analyst-sr-analyst-manager-toronto-ca/,expired,2022-02-04T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -506a2083-2596-4baa-8191-73218b3659c6,102961327,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2022-01-06T21:42:12.695Z,"

                                        What\'s the opportunity?

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-11-08T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/91201021-data-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12766828/data-management-specialist-toronto-ca/,expired,2021-10-28T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +4b5eb650-7e01-47cb-8c0a-322ee8979e9a,99185339,Deloitte,"Manager, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-12-16T02:43:08.006Z,"
                                        +

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        +

                                        Partner with clients to solve their most complex business problems
                                        Be encouraged to deepen your technical skills…whatever those may be
                                        Lead projects and teams to make an impact that matters

                                        +
                                        -

                                        We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                        -

                                        -

                                        Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                        -

                                        Your responsibilities include:

                                        -
                                          -
                                        • Design and build data pipelines for Borealis AI projects;
                                        • -
                                        • Build efficient data systems and abstractions for Borealis AI projects;
                                        • -
                                        • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                        • -
                                        -

                                        You\'re our ideal candidate if you:

                                        -
                                          -
                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • -
                                        • Strong enterprise experience in designing and building data lakes;
                                        • -
                                        • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                        • -
                                        • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                        • -
                                        • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                        • -
                                        • Strong experience with the Unix command line and bash scripting;
                                        • -
                                        • Strong communication skills and a collaborative attitude.
                                        • -
                                        +
                                        +

                                        +

                                        Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                        -

                                        What\'s in it for you?

                                        -
                                          -
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • -
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        About Borealis AI

                                        -

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        -

                                        Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",,https://www.borealisai.com/en/careers/employment/5626198002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-02-09T16:07:13.834Z,False,0,6,50,https://talenthub.vectorinstitute.ai/jobs/102961327-data-engineer-at-borealis-ai,,expired,2022-01-06T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -df4a8c36-6c89-4f49-9c79-05d1a53ae29f,108832023,TELUS,Senior Technology Architect - Data Engineer,on_site,"Ontario, Canada",2022-02-14T07:20:13.858Z,"
                                        -

                                        Description

                                        +

                                        What will your typical day look like?

                                        -

                                        -

                                        Join our team

                                        The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                        We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                        -

                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        -

                                        -

                                        The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                        -

                                        Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                        -

                                        Here’s how

                                        -

                                        -
                                          -
                                        • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                        • -
                                        • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                        • -
                                        • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                        • -
                                        • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                        • -
                                        • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                        • -
                                        • Support the data pipelines feeding into our machine learning algorithms and models
                                        • -
                                        • Assist the extracting, loading, transforming, cleaning, and validating of data
                                        • +

                                          As a Manager, AI Strategy, you will assume full life cycle responsibility to lead and manage client engagements and lead and AI Strategy services engagements (projects) within your focus area to deliver best-of-breed solutions for clients’ business problems. The role includes leading a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                          +

                                          In this role, you will :

                                          +
                                          • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                          • Contribute knowledge of foundational capabilities required to enable AI such data governance/management
                                          • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                          • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision.
                                          • Nurture client relationships, coach and monitor Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm
                                          -

                                          -

                                        -

                                        Qualifications

                                        +

                                        About the team

                                        -

                                        -

                                        -

                                        You\'re the missing piece of the puzzle

                                        -

                                        -
                                          -
                                        • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                        • -
                                        • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning Spark applications
                                        • -
                                        • Google Cloud Dataflow and Google BigQuery experience
                                        • -
                                        • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                        • -
                                        • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                        • -
                                        • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                        • -
                                        • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                        • -
                                        • You are familiar SQL-on- technologies (Hive, Impala, Spark SQL, Presto)
                                        • -
                                        -

                                        -

                                        Nice to have

                                        -

                                        -

                                        -
                                          -
                                        • GCP Professional Data Engineering certification
                                        • -
                                        • DevOps practices and tools experience
                                        • -
                                        • Orchestration and job scheduling platforms experience
                                        • +

                                          Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          +

                                          Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                          +
                                        +
                                        +
                                        +

                                        Enough about us, let’s talk about you

                                        +
                                        +

                                        You are someone with:

                                        +
                                        • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                        • 5+ years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                        • Strong experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                        • Strong experience with Data & Analytics agile project management end-to-end, including planning & budgeting, resourcing and delivery
                                        • Experience with enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                        • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                        • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                        • Master of Business Administration or Masters of Management in Analytics is preferred
                                        -

                                        -

                                        +


                                        If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.

                                        +

                                        The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                        -
                                        ",,https://careers.telus.com/job/Scarborough-Senior-Technology-Architect-Data-Engineer-ON/551285417/,feed-importer@jobboard.io,,,,2022-02-21T07:32:08.829Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/108832023-senior-technology-architect-data-engineer-at-telus,,expired,2022-02-14T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -ac4923d1-9720-46ce-813e-11dea516f741,70440211,RBC,Senior Analytics Developer,on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.046Z,"
                                        -

                                        What is the opportunity?

                                        +
                                        +

                                        Why Deloitte?

                                        +

                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                        +
                                        • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                        • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                        • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                        • +
                                        +


                                        The next step is yours

                                        +

                                        Sound like The One Firm. For You?

                                        +

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        +

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        -

                                        As the Associate Director, Senior Analytics Developer, you will lead and refactor our analytics infrastructure to make it more flexible, reliable, and performant. This role requires leadership, cooperation, coordination with quant, trading, and IT groups. You possess strong programming and API design skills, and have experience leading a team.

                                        -

                                        -

                                        Experience with low latency or high throughput analytics, and knowledge of financial products across asset classes would be preferred, but isn’t necessary.

                                        +

                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                        ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-12-31T02:48:06.938Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/99185339-manager-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763308700/,expired,2021-12-16T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, +5fe4a8fe-eda7-4f58-9b67-a1d1841943ff,94638334,RBC,Senior Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-11-16T02:40:11.079Z,"
                                        +

                                        What is the opportunity?

                                        +

                                        The Senior Data Engineer is an individual contributor responsible for optimizing our data infrastructure and delivering data and reporting solutions, business intelligence and visualization. This role requires a high degree of knowledge across RBC Insurance’s lines of business, systems and data platforms. The role leverages its technical skills to partner with IT and the business line(s) to assess, research, analyze and develop business, technical and system data solutions ranging in small to highly complex in nature.

                                        +

                                        +

                                        What will you do?

                                        +

                                        • Responsible for the design, development and management of data dashboards requests of medium to high complexity, ensuring timely and accurate responses to each request within acceptable time service standards by the business. (e.g. combining multiple source systems, writing unique or new code, discovering creative ways to deliver on business requirements)

                                        +

                                        • Advise stakeholders and business partners on the use and interpretation of custom built reports to highlight business intelligence.

                                        +

                                        • Identify opportunities for technical and process improvements for our systems that will increase application resiliency, improve data integrity and increase process efficiency

                                        +

                                        • Investigate and resolve application issues relating to environments or batch jobs, and supports Production and non-Prod implementations through code deployments

                                        +

                                        +

                                        What will you need to be successful?

                                        +

                                        Must have

                                        +

                                        • Minimum undergraduate degree in Statistics/Mathematics, Finance, Computer Science, or a discipline that develops capability in data analytics and reporting

                                        +

                                        • Minimum 2 years’ experience working with financial/insurance products/services and corresponding data

                                        +

                                        • Solid working experience with very large relational databases and large volumes of data of various formats

                                        +

                                        • Advanced SAS, SQL programming demonstrating the use of efficient querying/datamining techniques

                                        +

                                        +

                                        Nice to have

                                        +

                                        • Solid working experience with MS Office Professional Suite with emphasis on Visual Basic or Visual Basic for Applications

                                        +

                                        • Knowledge of statistical procedures and applied data validation mechanisms

                                        +

                                        • Strong knowledge of Dashboard Reporting methodology

                                        +

                                        • Solid knowledge of Unix/AIX v5, Teradata

                                        +

                                        • Experience with Tableau, Hadoop, Python

                                        +

                                        +

                                        What's in it for you?

                                        +

                                        • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans

                                        +

                                        • Competitive pay and high-earning potential

                                        +

                                        • All the tools, training, and team support you need to grow your career

                                        +

                                        • Flexible work/life balance options

                                        +

                                        • Sophisticated RBCI software tools to boost your productivity

                                        -

                                        What will you do?

                                        -
                                          -
                                        • Refactor and consolidate analytics-related functionality.
                                        • -
                                        • Design robust API’s around common pieces of functionality, refactoring the code to support these new APIs, retire legacy code, and ensure that structural problems are also addressed during the refactoring.
                                        • -
                                        • Investigate and fix stability problems, determine what the fundamental solution should be, and prioritize accordingly.
                                        • -
                                        • Identify and address gaps in test coverage.
                                        • -
                                        • Interface with vendor systems, expose analytics to Excel and Risk systems.
                                        • -
                                        • Proposes the design and implementation of strategic analytics API’s.
                                        • -
                                        • Analyse and fix performance and stability problems in the internal analytics layers.
                                        • -

                                        -

                                        What do you need to succeed?

                                        +

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Mississauga
                                        Address: 6880 Financial Dr.
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salaried
                                        Required Travel (%): 0
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 11/16/2021
                                        Platform: Insurance

                                        Req ID: 427477
                                        Ad Code(s):

                                        -

                                        Must Have:

                                        -
                                          -
                                        • Strong command of C++.
                                        • -
                                        • Expert in algorithms and data structures, object orientation, design patterns, and functional programming paradigms.
                                        • -
                                        • Excellent problem solving and quantitative skills.
                                        • -
                                        • Excellent API design, refactoring, profiling and code optimization skills.
                                        • -
                                        • Experience as a senior developer or team lead.
                                        • -

                                        -

                                        Nice to have:

                                        -
                                          -
                                        • Expertise with designing and supporting financial analytics API’s.
                                        • -
                                        • Experience with databases, distributed cache products, distributed and multithreaded computation, big data processing technologies such as Spark.
                                        • -
                                        • Experience with multiple platforms (Windows, Linux), compilers and tools for C++ development.
                                        • -
                                        • Experience with Python, Java or .Net.
                                        • -
                                        • Experience with build/test/release infrastructure.
                                        • -
                                        +
                                        ",,https://jobs.rbc.com/ca/en/job/427477/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-11-18T16:24:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/94638334-senior-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/427477/Senior-Data-Engineer,expired,2021-11-16T02:40:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +3fe3d1b2-0fa7-4e02-9a89-ab917e3888dc,94648013,Intact Financial Corporation,"Data Engineering Developer, Intact Lab",on_site,"Toronto, ON, Canada",2021-11-16T04:46:23.878Z,"
                                        +

                                        Who needs insurance? Everybody. That keeps us busy. Very busy.

                                        At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                        Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                        Here, innovation is everyone's job. Ready to make your mark?


                                        +
                                        About the role
                                        +

                                        Hiring Manager: Ionut Calacean

                                        Data is the most important asset in today’s competitive world. We are the Data and Analytics department of the largest P&C insurer in Canada. Our mission is: “Accelerate our data advantage by bringing to user analytical data ready to be consumed, at a proper level of trust and security”.

                                        Our team is using modern concepts, tools and technologies for data ingestion, acquisition and data consumption and work with Agile framework. We are structured into small, highly productive squads and working very close with the Data Lab team composed of Actuaries and Data Scientists.

                                        You dream of exciting challenges? Join our team as a Data Engineering Developer and contribute to the planning and execution of data pipelines for various machine learning projects.

                                        You will:

                                        • Design, implement, and maintain large-scale batch and real-time scalable data pipelines with complex data transformations;
                                        • Perform data wrangling to transform and map data from raw data forms into formats more appropriate and valuable for analytics;
                                        • Write and optimize complex queries on large data sets;
                                        • Assemble large, complex data sets that meet functional / non-functional business requirements;
                                        • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs;
                                        • Experience working with business teams to translate functional requirements into technical requirements;
                                        • Conduct business and functional requirements gathering and provide projects estimates;
                                        • Experience supporting and working with cross-functional teams in a dynamic environment;
                                        • Develops workflows and tools that automate data loading processes and help ensure data quality and integrity.

                                        +
                                        Qualifications
                                        +

                                        You are:

                                        • Motivated and autonomous, you love learning and applying new technologies to solve complex problems;
                                        • Eager to understand how the business works and how your work impacts the business;
                                        • Comfortable working in complex environments and multidisciplinary teams;
                                        • Fast learner, versatile and a good team player;
                                        • Excellent communicator with good analytical skills.

                                        You have:

                                        • A bachelor’s degree in computer science, Software Engineering or equivalent;
                                        • Minimum of 5 years of experience in data analysis (ingestion and consumption);
                                        • Hands-on experience with leading commercial Cloud platforms, including AWS and Azure;
                                        • Excellent Python and PySpark skills;
                                        • Strong experience with Apache Spark (Databricks or similar), Kafka and NiFi;
                                        • Hands-on experience with Snowflake or Redshift, or similar cloud storage technologies;
                                        • Hands on experience with Hadoop distributions (Cloudera, Hortonworks) and Hive;
                                        • Strong experience with relational SQL and NoSQL databases like PostgreSQL, Oracle, Cassandra, Mongo DB;
                                        • Experience with ElasticSearch and Kibana is a big plus;
                                        • Experience with Alation and/or other data catalog tools (Azure, Informatica) is a big plus;
                                        • Experience with Kubernetes, Docker is a big plus;
                                        • Experience with Agile development methodologies;
                                        • Strong presentation, facilitation, verbal and written communication skills, including interpersonal skills.

                                        Here are a few reasons why others have joined our team:

                                        • An award-winning, inspiring workplace that supports its people and recognizes great work
                                        • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                        • Flexibility in how and where you work
                                        • A comprehensive financial rewards program that recognizes your success
                                        • An extensive, flexible benefits package
                                        • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                        • A casual ‘dress for your day’ culture that encourages you to be yourself
                                        • A $350 annual wellness account that promotes an active lifestyle

                                        +
                                        Closing Statement
                                        +

                                        We are an Equal Opportunity Employer

                                        At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                        If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                        Background Checks

                                        As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                        Internal Candidates

                                        For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                        Eligibility to Work in Canada

                                        It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                        +
                                        Referral Bonus
                                        +

                                        This role is eligible for employee referral bonus. #myReferrals3000


                                        +
                                        LinkedIn Sponsored
                                        +

                                        #LI-IT


                                        +
                                        ",,https://careers.intactfc.com/ca/en/job/122369/Data-Engineering-Developer-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-12-10T05:02:14.600Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/94648013-data-engineering-developer-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122369/Data-Engineering-Developer-Intact-Lab,expired,2021-11-16T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e1a23aa9-2699-4bb5-a6f8-0103a7568772,94914525,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-11-18T07:06:03.464Z,"
                                        +
                                        +
                                        +

                                        Why join us?

                                        +

                                        +

                                        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                        +

                                        +

                                        +

                                        OMERS Products and Technology is looking for Cloud Data Engineer passionate about all sides of data analytics and eager to build a data platform for our pension Data engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights; transforming, modelling, processing and extracting value from datasets.

                                        +


                                        As a member of this team, you will be responsible for:

                                        +
                                          +
                                        • Develop and maintain data pipelines
                                        • +
                                        • Design and implement ETL processes
                                        • +
                                        • Hands on experience on Data Modeling – Design conceptual, logical and physical data; experience with Kimball methodology (Data Vault methodology knowledge is a plus)
                                        • +
                                        • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
                                        • +
                                        • Knowledge to move the ETL code base from On-premise to Cloud Architecture
                                        • +
                                        • Understanding data lineage and governance for different data sources
                                        • +
                                        • Maintaining clean and consistent access to all our data sources
                                        • +
                                        • Hands on experience to deploy the code using CI/CD pipelines
                                        • +
                                        • Assemble large and complex data sets strategically to meet business requirements
                                        • +
                                        • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                        • +
                                        +

                                        +

                                        To succeed in this role, you have:

                                        +
                                          +
                                        • Experience with data platform cloud technologies for creating data pipeline (preference Azure Data Factory, Azure Data Lake, Azure SQL Server, PowerBI)
                                        • +
                                        • Experience doing semantic data modeling and publish datasets accordingly
                                        • +
                                        • Understanding security rules and roles in projects, workspaces in PowerBI
                                        • +
                                        • Possess in-depth understanding of SQL, database management systems and ETL (Extract, transform, load) frameworks
                                        • +
                                        • Experience with SSIS, Informatica ETL, data modelling, data warehousing, and business intelligence architecture
                                        • +
                                        • Knowledge of programming, scripting (e.g. SQL, PowerShell, Python, C#, Power Query, DAX
                                        • +
                                        • Working experience with Visual Studio, PowerShell Scripting, and ARM templates
                                        • +
                                        • Proven track record of learning new technologies quickly
                                        • +
                                        • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                        • +
                                        • Experience building data visualizations, preferably Power BI
                                        • +
                                        • 10 years of experience working with data
                                        • +
                                        +

                                        +

                                        +

                                        +

                                        +

                                        Our story:

                                        +

                                        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                        +

                                        +

                                        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                        +

                                        +

                                        +

                                        Vaccination Policy

                                        +

                                        +

                                        At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to be fully vaccinated or have an approved exemption before attending OMERS and Oxford premises for work or for participating in in-person work events or work meetings.

                                        +
                                        +
                                        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-2055,feed-importer@jobboard.io,,,,2021-12-02T07:23:16.909Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/94914525-data-engineer-at-omers,,expired,2021-11-18T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +34572f37-1161-4354-90dc-157314ae6850,99398673,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2021-12-16T20:32:02.454Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +
                                        +

                                        +

                                        Department Overview

                                        +
                                        +

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                        +

                                        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        +
                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        About this Role

                                        +

                                        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                        +

                                        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                        +

                                        As a Senior Business Insights Analyst, you will:

                                        +
                                          +
                                        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                        • +
                                        • Develop analysis to illustrate business trends and identify areas of business opportunities
                                        • +
                                        • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                        • +
                                        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                        • +
                                        • Execute on data requests accurately and within a timely manner
                                        • +
                                        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                        • +
                                        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                        • +
                                        • Provides day-to-day support and delivery of analytics
                                        • +
                                        • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                        • +
                                        • Considered an authority within a given area
                                        • +
                                        • Oversee and/or independently perform tasks from end to end
                                        • +
                                        +

                                        Fraud Management

                                        +
                                          +
                                        • Accountable for fraud loss targets and the customer experience
                                        • +
                                        • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                        • +
                                        • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                        • +
                                        • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                        • +
                                        • Supports case valuation and prioritization to optimize fraud management
                                        • +
                                        • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                        • +
                                        • Provide ad-hoc analysis to support decision-making at the executive level
                                        • +
                                        • Design champion / challenger strategies that lead to ongoing learning and improvement
                                        • +
                                        • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                        • +
                                        • Produce timely diagnostics to identify system, strategy and operational issues
                                        • +
                                        +

                                        Process Support

                                        +
                                        • Participates in defect analysis to identify and remediate coverage gaps
                                        +

                                        Partner Support

                                        +
                                          +
                                        • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                        • +
                                        • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                        • +
                                        • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                        • +
                                        • Support the continuous improvement agenda for our operational partners
                                        • +
                                        • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                        • +
                                        • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                                        • +
                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                        +

                                        What can you bring to TD?

                                        +

                                        +

                                        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        +
                                          +
                                        • Undergraduate degree, preferably from a STEM program
                                        • +
                                        • 2+ years experience in an analytical capacity
                                        • +
                                        • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                        • +
                                        • Demonstrated analytical, modeling and problem solving skills
                                        • +
                                        • Conceptual thinker, ability to wade through data and arrive at conclusions
                                        • +
                                        • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                        • +
                                        • Ability to take initiative and work independently under tight timelines
                                        • +
                                        • Ability to work collaboratively and build relationships
                                        • +
                                        +

                                        Preferable

                                        +
                                          +
                                        • Experience in fraud management is an asset
                                        • +
                                        • Experience using analytical software tools such as SAS, Python, SQL and Excel for data analysis and/or reporting
                                        • +
                                        +
                                        +

                                        +

                                        Additional Information

                                        +
                                        #businessintelligence
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14558419/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-19T17:28:54.003Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/99398673-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14558419/senior-business-insights-analyst-markham-ca/,expired,2021-12-16T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3a917dc0-72c2-407c-93b9-eec757250fa6,101767657,Scotiabank,Spark - 2022 New Graduate Opportunities,on_site,Canada : Ontario : Toronto,2021-12-31T04:57:13.318Z,"

                                        -

                                        What’s in it for you?

                                        -

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        -
                                          -
                                        • Leaders who support your development through coaching and managing opportunities
                                        • -
                                        • Ability to make a difference and lasting impact
                                        • -
                                        • Work in a dynamic, collaborative, progressive, and high-performing team
                                        • -
                                        • Flexible work/life balance options
                                        • -
                                        • Opportunities to do challenging work
                                        • -
                                        • Opportunities to take on progressively greater accountabilities
                                        • -
                                        • Access to a variety of job opportunities across businesses and geographies
                                        • -

                                        -

                                        About RBC
                                        Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                        -

                                        Inclusion and Equal Opportunity Employment
                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        +

                                        Requisition ID: 136505

                                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                        -

                                        Join our Talent Community

                                        -

                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        +

                                        Spark

                                        +

                                        New Graduate Opportunities

                                        +

                                        May 2022

                                        -

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                        +

                                        Why work for Scotiabank?
                                        Scotiabank is among the largest banks in the world and is Canada’s most international bank. We are powered by our 90,000 high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together, we are dedicated to helping our 24 million customers become better-off.

                                        -

                                        JOB SUMMARY
                                        City: Toronto
                                        Address: 155 Wellington St West
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Position Level: CM - Associate Director
                                        Required Travel(%): 0-25
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 07/30/2021
                                        Req ID: 382607

                                        +

                                        Working in Technology at Scotiabank, you will be part of a global engineering team working on global initiatives to develop safe, reliable, and industry-leading banking experiences for customers around the world. We question the status quo and understand that collaboration, inclusion, problem-solving, and forward thinking will deliver the right solutions for our customers globally. We're a world-class engineering organization that's reinventing banking technology - and we want you to join our global team.

                                        +

                                        What can I expect from Spark?

                                        +

                                        Spark is about bringing in high-performing technology students into full-time positions in Global Engineering Teams at Scotiabank. Each hire will have the opportunity to build and acquire new skills in technology at a global level to truly spark their career.

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/382607/Senior-Analytics-Developer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-26T22:40:04.001Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/70440211-senior-analytics-developer-at-rbc,https://jobs.rbc.com/ca/en/job/382607/Senior-Analytics-Developer,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -0cc43e03-7ed0-46ad-84c5-727c857b5509,70440214,RBC,"Manager, Data Engineer - Wholesale Finance",on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.439Z,"
                                        -

                                        What is the Opportunity?

                                        -

                                        This is an exciting opportunity in Wholesale Finance, Capital Markets and Treasury Services Performance Management team where you will play an instrumental role in leveraging RBC’s big data assets to build data pipelines and analytics models, as well as aligning data strategy across various functional groups. We are currently seeking for an individual with strong data engineering/data science background who is quick to adapt to new technologies and enthusiastic about developing innovative solutions to support the digital transformation in Finance. This role will work with various stakeholders in helping to identify business problems, and prioritize them to unlock business value.

                                        +

                                        You will:

                                        +
                                        • Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture
                                        • Be part of a challenging and unique opportunity to work in a global engineering team that will accelerate your career at a global level in technology
                                        • Engage in exclusive networking sessions with the Global Engineering Heads and senior leaders
                                        • Have access to a curated learning curriculum focused on developing soft and technical skills
                                        • Receive structured mentorship for a full year
                                        • Be paired with a buddy framework designed to guide you through your onboarding
                                        • Engage in volunteering opportunities and community involvement to expand your network
                                        • +

                                        -

                                        The Data Strategy team in Wholesale Finance is focused on developing data solutions to support key Performance Management initiatives. Our team consists of highly accomplished professionals with various backgrounds in computer science, data, Business analytics, accounting and finance to deliver innovative solutions that supports data-driven decisions.

                                        +

                                        As part of this initiative, upon identifying you as a candidate for hire, we will match your skills and interests with available roles. In order for us to place you effectively, you will be asked to pick your top 3 interests from the list below:

                                        -

                                        What will you do?

                                        -
                                          -
                                        • Develop a sustainable and scalable data pipeline using the latest technologies
                                        • -
                                        • Apply design thinking and an agile mindset in working with business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                        • -
                                        • Support data management processes - acquiring, transforming and storing massive volume of structured and unstructured data
                                        • -
                                        • Leverage best practices in continuous integration and delivery
                                        • -
                                        • Automate existing processes and optimize for efficiency and data quality
                                        • -
                                        • Spend 70-80% time on data engineer and rest to create proof of concept of products/services
                                        • +
                                          • Software Development
                                          • Testing Automation
                                          • Systems Integration/Support
                                          • Business Analysis / Technical Business Analysis
                                          • Data Analytics
                                          • Project or Product Manager

                                          -

                                          What do you need to succeed?

                                          -

                                          Must-have

                                          -
                                            -
                                          • Demonstrated experience with data extraction, transformation, and loading from a wide variety of data sources using python, SQL and related technologies
                                          • -
                                          • Basic working knowledge and experience implementing ETL pipelines using Dragster, Apache Airflow, Prefect or any other tool
                                          • -
                                          • Basic knowledge to leverage big data technologies (one or more of Hadoop, Hive, Spark) to build data products
                                          • -
                                          • Excellent analytical skills & critical thinking skills to investigate system and business issues, determine root cause, and deliver sustainable solutions
                                          • -
                                          • Commitment to continuous improvement; specifically, ability to identify existing processes and gaps across the current system landscape
                                          • -

                                          -

                                          Nice to have

                                          -
                                            -
                                          • Experience with Business Intelligence Reporting & visualizations using Tableau or similar products
                                          • -
                                          • Exposure to Capital Markets products and businesses
                                          • -
                                          • Open to learn/explore and innovate using tech stack or framework like Flask, Django, Node, ML/NLP, any front-end framework
                                          • -
                                          • Basic knowledge of git, APIs, Docker, Kubernetes and DevOps
                                          • -
                                          -

                                          -

                                          What’s in it for you?

                                          -

                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                          -
                                            -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities
                                          • -
                                          • Ability to make a difference and lasting impact
                                          • -
                                          • Work in an agile, collaborative, progressive, and high-performing team
                                          • -
                                          • The opportunity to interface with senior level executives from many different parts of the organization
                                          • -
                                          +

                                          You are?

                                          +

                                          You are a recent grad or masters student, with studies in Technology, Engineering or Mathematics. You are logical and familiar with a variety of development tools, you dream in code and get excited by continuous integration and deployment. You have a passion for innovation and spend your free time building apps, problem solving and tinkering with new and old technologies. You thrive in a fast paced, ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future. Bilingualism in English and Spanish are an asset.

                                          +

                                          How to apply?

                                          +

                                          We believe in evaluating students through relationships over resumes, focusing on learning about who they are and their true potential. Instead of submitting a resume, we ask that as part of your application, you complete the steps below:

                                          -

                                          Join our Talent Community
                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 200 Bay Street
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel (%): 0
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/13/2021
                                          Platform: CFO Group

                                          Req ID: 382680
                                          Ad Code(s):

                                          +

                                          1) Complete your PLUM Profile here

                                          +

                                          2) Take a screenshot of your completed PLUM profile.

                                          +

                                          3) Complete a very short one-way video interview by clicking here

                                          +

                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                          +

                                          We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank is are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                          -
                                        ",,https://jobs.rbc.com/ca/en/job/382680/Manager-Data-Engineer-Wholesale-Finance,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/70440214-manager-data-engineer-wholesale-finance-at-rbc,https://jobs.rbc.com/ca/en/job/382680/Manager-Data-Engineer-Wholesale-Finance,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -51e1331c-2504-4cec-9587-d478a731cd70,70440216,RBC,Senior Data Architect,on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.714Z,"
                                        -

                                        The Senior Data Architect is responsible for data architecture and technology capabilities in support of business requirements and realization of Technology Infrastructure (TI) Data Platform and AIOps services. The role maintains strong partnerships with key enterprise stakeholders, including Business Platforms Architecture, Enterprise Architecture (EA) group and TI technology teams to lead development of an end-to-end TI data solutions architecture, technology standards and innovation for high complexity and high risk IT initiatives. The role provides technical leadership, vision, forward thinking, technical conflict resolution and enables technical coordination & support for the delivery of the TI data and analytics solutions, including AIOps data science solutions.

                                        -

                                        -

                                        -

                                        Key Accountabilities

                                        -

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-Spark-2022-New-Graduate-Opportunities-ON/554084417/,feed-importer@jobboard.io,,,,2022-01-20T17:44:00.000Z,False,0,9,57,https://talenthub.vectorinstitute.ai/jobs/101767657-spark-2022-new-graduate-opportunities-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Spark-2022-New-Graduate-Opportunities-ON/554084417/,expired,2021-12-31T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +e927f6d5-a302-4545-9947-33ff32ebeece,102506309,TD Bank Group,"Global Markets Intern/Co-op, Asset Securitization Database",on_site,"Toronto, ON",2022-01-03T20:33:06.359Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                        +

                                        Why TD?

                                        +

                                        TD’s Colleague Promise: A better you. A better us.

                                        +

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        +
                                        +

                                        +

                                        Department Overview

                                        +
                                        +

                                        Asset Securitization Group at TD Securities:
                                        TD Securities is one of Canada‘s most active dealers in Debt and Equity products. Our Sales and Trading business deals with institutional investors, corporations and governments worldwide in the trading and sale of outstanding and new issue products.

                                        +

                                        The Asset Securitization Group (ASG) is responsible for the origination and structuring of securitization products at TD Securities in asset classes ranging from residential and commercial mortgages, auto and equipment loans and leases, credit card receivables, trade receivables, among other different asset classes. There is a total of 16 professionals working in the Toronto office and 10 in New York, dealing with all aspects of a securitization transaction, including client relationship, modelling, credit rating process, and legal documentation.

                                        +

                                        At TD Securities, we believe that diversity is the key to our success in the competitive global marketplaces and we embrace people with a wide range of unique experiences and abilities.

                                        +

                                        Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                        Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                          -
                                        • Architect the TI data platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems and automating data feeds leveraging next-generation solution technologies and data architecture principles.
                                        • -
                                        • Define and manage data architecture for the AIOps Data Science team and participate in architecture review and approval process.
                                        • -
                                        • Provide architecture support and tough leadership for the several TI Data Engineering teams.
                                        • -
                                        • Work in an agile fashion to onboard data, define a business process for data ingestion and transformation; create and manage metadata for different data sources.
                                        • -
                                        • Work closely with Data Science team to provide environment and data automation capabilities.
                                        • -
                                        • Work closely with technical and business stakeholders on data governance, provisioning, and access control.
                                        • +
                                        • Leadership talks with key Leaders from across the organization
                                        • +
                                        • Lunch and Learns on topics such as Innovation
                                        • +
                                        • Diversity and Inclusion and Personal Branding and so much more
                                        +
                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        Your term as a Global Markets Co-op, Asset Securitization:
                                        The successful candidate will join a small and highly experienced team of securitization professionals and acquire hands on experience in the structured credit and securitization space and develop valuable and highly sought-after industry experience.

                                        +

                                        How You Will Contribute:

                                          -
                                        • Defines end to end technical solutions (solution blueprint) that takes into account the architecture and technology strategies, current state environment and constraints. Analyzes the viability of the solution to meet program timeline, budget and quality.
                                        • -
                                        • Develops and presents solution alternatives along with recommendations to executives and senior management.
                                        • +
                                        • Assist ASG in its data management initiative and be responsible to source, store, retrieve and analyze securitization related data from both internal and external data sources
                                        • +
                                        • Develop insightful models from these data sets
                                        • +
                                        • Work as part of a team to maximize business opportunities and provide financial solutions to our commercial, corporate and institutional client base
                                        • +
                                        • Ensure your team achieves its objectives by foreseeing client needs and developing an unparalleled level of service with confidence
                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                        +Qualifications:

                                          -
                                        • Presents solution architecture at the technology review forums, like peer-review and/or Architecture Review Board (ARB).
                                        • -
                                        • Develops the architecture artifacts (Solution Architecture, Architecture Decisions) as defined by the PMF/SDLC and reviews with Enterprise Architecture, Lead Architects, Business Architects, Infrastructure SMEs and key program stakeholders.
                                        • +
                                        • Pursuing degree in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Data Science, or similar
                                        • +
                                        • Hands on experience with database software including Microsoft Access or other SQL Databases
                                        • +
                                        • Experience manipulating and analyzing large quantity of data in Python, R, Matlab or other equivalent programming languages
                                        • +
                                        • Must have excellent communication skills and strong business, finance, mathematics and quantitative analysis skills, or relevant experience
                                        -

                                        -

                                        -

                                        Knowledge and Experience

                                        -

                                        +
                                        +

                                        +

                                        Additional Information

                                        +
                                        +

                                        Early Talent Requirements

                                          -
                                        • Bachelor’s degree in computer science or computer engineering or other BS/BA degree with a concentration in computer science or information systems
                                        • -
                                        • 10+ years of IT experience – minimum 8 years of experience with solution architecture and design on large, complex data and analytics application and projects.
                                        • -
                                        • Proven experience in leading data architecture of a large program from initiation to implementation.
                                        • -
                                        • Working knowledge of financial applications as well as host based systems.
                                        • -
                                        • Experience and demonstrated understanding of how various regulations in different jurisdictions (North America vs. EMEA vs. APAC) can impact architectures and solutions.
                                        • -
                                        • Experience in developing systems architecture and solutions in a geographically dispersed team environment.
                                        • -
                                        • Experience in all aspects of architecture including application, data, security and infrastructure.
                                        • -
                                        • Advanced ability to apply industry/technical knowledge to provide solutions that increase business results and/or minimize risk regarding the integration of applications across multiple product systems and delivery channels.
                                        • -
                                        • Advanced ability to quickly evaluate options, make decisions and execute within an intense high-tech environment.
                                        • -
                                        • Strong leadership skills that can effectively manage large cross functional technical teams and ability to define, influence and impact the technical direction.
                                        • -
                                        • Expert documentation, written and verbal communication skills.
                                        • +
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        • +
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • +
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        -

                                        -

                                        Technical Competencies

                                        -

                                        Must-have

                                        +
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Start Date

                                        +
                                        – Summer
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14652700/global-markets-intern-co-op-asset-securitization-database-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-24T18:53:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/102506309-global-markets-intern-co-op-asset-securitization-database-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652700/global-markets-intern-co-op-asset-securitization-database-toronto-ca/,expired,2022-01-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +76c9cf2d-20a7-4c80-a925-d842de16a069,102958738,TD Bank Group,Data Engineer Associate Program (Technology),on_site,"Toronto, ON",2022-01-06T20:33:10.518Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                        +

                                        TD’s Colleague Promise: A better you. A better us.

                                        +

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        +
                                        +

                                        +

                                        Department Overview

                                        +
                                        Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                        +

                                        As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                        +

                                        +

                                        Job Description

                                        +
                                        +You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                          -
                                        • Minimum 10+ years in enterprise scale data architecture and data engineering projects with preferably 3+ years in cloud native data solutions.
                                        • -
                                        • Experience working with several relational data solution such as SQL Server, MySQL, MariaDB, PostgreSQL.
                                        • -
                                        • Experience working/supporting Data Science and/or Analytics teams.
                                        • -
                                        • Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                        • -
                                        • Experience with enterprise level security solutions for identity and access management.
                                        • -
                                        • Experience with analysis techniques and measurement tools to continuously build valuable insights and business recommendations.
                                        • -
                                        • Effective programming / query skills and knowledge of common data manipulation, visualization and analytical tools (Tableau, Graphana, Kibana or similar.)
                                        • -
                                        • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined.
                                        • -
                                        • Analytical, insights driven with the ability to help the organization to leverage data driven decisions.
                                        • -
                                        • Strategic with strong change management, continuous improvement and transformation skills.
                                        • +
                                        • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                        • +
                                        • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                        • +
                                        • Design, develop and deploy system enhancements
                                        • +
                                        • Perform Unit and System Integration tests
                                        • +
                                        • Document system deployment plans for system implementation and code deployment
                                        • +
                                        • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                        • +
                                        • Provide recommendations with full usability analysis
                                        • +
                                        • Perform root-cause analysis and resolution of application defects
                                        • +
                                        • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                        • +
                                        • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                        -

                                        Nice-to-have

                                        -
                                          -
                                        • Experience working with infrastructure operations management data, i.e. monitoring, logs, alerts, and incident data.
                                        • -
                                        • Experience with graph databases like neo4j and GraphX.
                                        • -
                                        • Experience working with cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lamba, RedShift, Azure DW.
                                        • -
                                        • Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure.
                                        • -
                                        • Exposure to building and deploying predictive and prescriptive analytics models using any of the following: Python SciKit, R and Pytorch.
                                        • -
                                        • Experience with ML Ops tools such as Dataiku or MLFlow.
                                        • -
                                        • Experience with next generation solution delivery on key technologies such as Python, Kafka, Spark, Apigee, Jenkins; container solutions including Docker/Kubernets; and on-prem cloud technologies such as Openshift or Pivotal.
                                        • +
                                        +

                                        +

                                        Requirements

                                        +
                                          +
                                        • Must be graduated, or graduating between May 2020 and May 2022, with an undergraduate degree in Computer science, Engineering, Computing, or equivalent
                                        • +
                                        • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                        • +
                                        • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                        • +
                                        • Test Data Tools Knowledge (CA TDM or Delphix)
                                        • +
                                        • Familiarity with source code management such as GIT
                                        • +
                                        • Familiarity with Jira and Confluence
                                        • +
                                        • A thirst for constantly exploring emerging technology
                                        • +
                                        • +Skills that would be an asset, but not required
                                            +
                                          • Familiarity with RDBMS, Big data
                                          • +
                                          • Familiarity with Data Warehousing, ETL, ELT concepts
                                          • +
                                          • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                          • +
                                          • Interest or aptitude in Financial Systems and the Financial Industry
                                          • +
                                          • Familiarity with Cloud technology (Azure, AWS, GCP)
                                          -

                                          -

                                          Attributes

                                          -

                                          +
                                        • +
                                        +

                                        +

                                        Additional Information

                                        +
                                        +Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                          -
                                        • Exceptional leadership.
                                        • -
                                        • Critical thinker, analytical.
                                        • -
                                        • Can deal with ambiguity and requests for change.
                                        • -
                                        • Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure.
                                        • -
                                        • Strong time management skills.
                                        • -
                                        • Business acumen.
                                        • -
                                        • Comfortable in high pressure, deadline-oriented environment.
                                        • -
                                        • Ability to adapt quickly.
                                        • -
                                        • Team player, cooperative with strong interpersonal skills.
                                        • +
                                        • Anticipated Start Date: July 4th, 2022 (pending academic completion)
                                        • +
                                        • Application Deadline: April 15th, 2022
                                        • +
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        • +
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • +
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        • +
                                        • #TechEarlyTalent
                                        -

                                        -

                                        Travel Requirements

                                        -

                                        Some travel will be required for this role. RBC will provide adequate notification of any travel needs to allow for timely arrangements.

                                        -

                                        -

                                        -

                                        -

                                        Learn more about RBC Tech Jobs



                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Toronto
                                        Address: 330 FRONT STREET WEST - 10th floor
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Required Travel(%): 0-25
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 07/14/2021
                                        Platform: Technology and Operations

                                        Req ID: 382920
                                        Ad Code(s):

                                        -

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-05T22:39:08.057Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/70440216-senior-data-architect-at-rbc,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -708ec33f-4d16-4a5b-bea0-a9da943c63d9,71505242,Accenture,Data Scientist,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-07-07T22:09:10.428Z,"

                                        Job Description

                                        Data Scientist
                                        Location: Montreal, Ottawa & Toronto

                                        +

                                        Assigned Line of Business Requirements

                                        +

                                        Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                        +
                                        +

                                        -

                                        We Are:
                                        The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

                                        +

                                        Hours

                                        +
                                        37.5

                                        -

                                        You Are:
                                        An expert at solving real-world challenges with data, analytics, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. And you’re all about helping clients scale data into value.

                                        +

                                        Start Date

                                        +
                                        – Summer

                                        -

                                        What You’ll Do:
                                        • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients
                                        • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                        • Stay abreast of AI/ML technologies, academic researches & hands-on techniques
                                        • Participate in development of innovative solutions for clients across functions & industries

                                        -
                                        Read more of the job description
                                        -


                                        -

                                        Qualifications

                                        -

                                        What We’re Looking For:
                                        • At least 5 years embracing challenges with data science lifecycle in enterprise setting
                                        • At least 3 years developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning
                                        • At least 3 years working with data science tools: e.g. Python, R, Spark, SQL, Plotly, Flask & Git
                                        • At least 3 years designing & operating tools & services in cloud environments: e.g. GCP, Azure, AWS & Databricks
                                        • At least 2 years orchestrating and maintaining AI/ML models in a production environment using Data & ML Ops tools: e.g. Docker, Kubernetes, MLFlow, Jenkins & CircleCI
                                        • At least 5 years storytelling with data and communicating findings to a non-technical audience

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        -

                                        Bonus Point If:
                                        • Graduate degree in data science or related disciplines: e.g. Applied Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                        • A blend of data science capability, consulting expertise and industry experience
                                        • Drive to learn and master new technologies and techniques

                                        -


                                        -
                                        -

                                        Locations

                                        Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                        -
                                        -
                                        -

                                        Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                        -

                                        Equal Employment Opportunity Statement

                                        -

                                        All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                        -

                                        Accenture is committed to providing veteran employment opportunities to our service men and women.

                                        -

                                        Requesting An Accommodation

                                        -

                                        Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                        -

                                        If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                        -

                                        Other Employment Statements

                                        -

                                        Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                        -

                                        The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                        ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00974801_en&title=Data+Scientist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-07-15T22:14:27.768Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/71505242-data-scientist-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00974801_en&title=Data+Scientist,expired,2021-07-07T22:09:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -38d2b2f9-c467-415f-b11d-8eb1f8425d08,71507310,Borealis AI,Machine Learning Researcher,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-07-07T22:33:20.590Z,"

                                        What’s the opportunity?

                                        As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                        -

                                        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                        -

                                        Your responsibilities include:

                                        • Developing novel AI solutions that facilitate impactful products;
                                        • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                        • Working with the development team to transfer research work into production;
                                        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                        • -
                                        -

                                        You’re our ideal candidate if you have:

                                        • A passion for solving open problems using data and algorithms;
                                        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                        • Ability to formulate and drive a research project independently without close supervision;
                                        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                        • -
                                        -

                                        What’s in it for you?

                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        How to apply:

                                        Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                        -

                                        About Borealis AI

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-03T00:39:12.636Z,False,1,0,67,https://talenthub.vectorinstitute.ai/jobs/71507310-machine-learning-researcher-at-borealis-ai,,expired,2021-07-07T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -0d2d949b-ce19-4120-a02c-0a273ea5fc2c,71585284,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Toronto, ON, Canada",2021-07-08T22:33:17.901Z,"

                                        Job Type: Permanent
                                        Primary Location: Toronto, Ontario, Canada
                                        All Available Locations: Toronto; Montreal; Ottawa; Vancouver

                                        -

                                        -

                                        Learn from deep subject matter experts through mentoring and on the job coaching
                                        Partner with clients to solve their most complex problems
                                        Be empowered to lead and have impact with clients, our communities and in the office.

                                        -
                                        -
                                        -

                                        -
                                        -

                                        -

                                        Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                        -
                                        -
                                        -
                                        -

                                        What will your typical day look like?

                                        -
                                        -

                                        -

                                        As a Senior Consultant, AI Strategy you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.
                                        In this role, you will :

                                        -


                                        • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                        • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                        • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                        • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision

                                        -
                                        -
                                        -
                                        -

                                        About the team

                                        -
                                        -

                                        -

                                        Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                        -

                                        Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                        -
                                        -
                                        -
                                        -

                                        Enough about us, let’s talk about you

                                        -
                                        -

                                        -

                                        You are someone with:

                                        -


                                        • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                        • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                        • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                        • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                        • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                        • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                        • Master of Business Administration or Masters of Management in Analytics is preferred

                                        -


                                        If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.
                                        The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                        -
                                        -
                                        -
                                        -

                                        Why Deloitte?

                                        -

                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                        -
                                        • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                        • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                        • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                        • -
                                        -


                                        The next step is yours

                                        -

                                        Sound like The One Firm. For You?

                                        -

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        -

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        -

                                        -

                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                        ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763296800/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/71585284-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763296800/,expired,2021-07-08T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -d34389ab-ed58-4489-b78e-8e99e2d73a0d,71753600,Scotiabank,"ORO, Regulatory Data Analyst, Fall 2021 Co-op",on_site,Canada : Ontario : Toronto,2021-07-09T22:33:07.514Z,"

                                        -

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14673852/data-engineer-associate-program-technology-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-24T18:51:00.000Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/102958738-data-engineer-associate-program-technology-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14673852/data-engineer-associate-program-technology-toronto-ca/,expired,2022-01-06T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +253f347f-8ce7-4a41-ac9c-dcf1cfcb56e1,102610053,Scotiabank,VELOCITY - Data Scientist - Summer 2022,on_site,Canada : Ontario : Toronto,2022-01-04T04:57:08.327Z,"

                                        -

                                        Requisition ID: 103605

                                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                        +

                                        Requisition ID: 120522

                                        Cost Centre: [[costCenter]]

                                        Employee Referral Program – Potential Reward:

                                        We are committed to investing in our employees and helping you continue your career at Scotiabank.

                                        - +

                                        ORO, Regulatory Data Analyst

                                        Fall 2021 (September to December)

                                        VELOCITY – Data Scientist – Summer 2022

                                        -

                                        -

                                        -

                                        Why work for Scotiabank?

                                        -

                                        -

                                        Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                        -

                                        -

                                        This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                        -

                                        -

                                        -

                                        -

                                        Who We Are:

                                        -

                                        -

                                        Scotiabank Global Banking & Markets provides a full range of credit, risk management and investment banking products and services relevant to the financing and strategic development needs of our clients. Our products include investment banking, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, prime brokerage, debt products, derivatives, foreign exchange and bullion & base metals. We also cross-sell the full range of wholesale products and services offered by Scotiabank.

                                        -

                                        -

                                        Your Work Term At-A-Glance:

                                        -

                                        -

                                        During your internship you will support the Regulatory Onboarding Controls team by providing timely, relevant and accurate reports to assist with ongoing design and coordination of reporting of Key Performance Indicators.:

                                        -

                                        -
                                        • Identify, analyze and interpret trends in complex data sets that pertain to regulatory onboarding counterparty data.
                                        • Support development of controls process for managing regulatory risk related to client onboarding.
                                        • Support development of reporting capability from customer and regulatory onboarding data contained in source system.
                                        • Assist with the design and preparation of reports on daily basis to support regulatory and operational reporting activities.
                                        • Continually acquire and enhance knowledge of both the Bank’s and the Division's business strategies, shifting regulatory environment, evolving risk management practices and methodologies, new products, updated operational processes, and rapidly changing technology to be able to drive effective business solutions.
                                        • Actively support efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, and the Guidelines for Business Conduct.
                                        • +

                                          WORK TERM: 4 Months - Summer 2022 (May - August)

                                          +

                                          +

                                          What Can I Expect from the Velocity Program?

                                          +


                                          This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                          +

                                          +

                                          You will…

                                          +
                                          • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                          • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                          • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                          • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                          • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                          • Present results to business line stakeholders and help implement real data-driven changes
                                          • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                          • Experiment & learn!
                                          -

                                          -


                                          QUALIFICATIONS:

                                          -


                                          This role is for you if you are highly self-motivated, and ready to work in a fast paced environment. The processes being built are constantly evolving and changing according to business and compliance needs, and you will be encouraged to contribute your ideas as part of a collaborative process.

                                          -

                                          -
                                          • Working knowledge and experience with MS Excel, and MS Word
                                          • Knowledge of database structure and Visual Basic macros are an asset
                                          • Solid analytical skills with an attention to detail and application of a results oriented approach
                                          • Exceptional time management, and interpersonal communication skills
                                          • +

                                            +

                                            You Are?

                                            +

                                            You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                            +

                                            Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                            +

                                            +

                                            You have basic knowledge in…

                                            +
                                            • Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                            • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
                                            • Big Data/Cloud ecosystem (e.g. GCP)
                                            • Experimental design, statistical analysis, machine learning
                                            • Python programming
                                            • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                            • UNIX tools and shell scripting
                                            • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                            • Visualization tools like PowerBI
                                            • Kubernetes
                                            • Git Workflows (Pull Request, Code Review, Branching)
                                            -

                                            -

                                            -


                                            This internship will provide you with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                            -

                                            -

                                            -

                                            How do I Apply?

                                            -

                                            -

                                            -

                                            For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                            -

                                            -

                                            -

                                            1) Complete your PLUM Profile here

                                            -

                                            -

                                            2) Save your PLUM Profile as PDF. Click here to learn how

                                            -

                                            -

                                            3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                            -

                                            -

                                            -

                                            4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                            -

                                            -

                                            -

                                            -

                                            Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                            -

                                            We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                            -

                                            -

                                            -

                                            -

                                            **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                            +

                                            +

                                            How to apply?

                                            +

                                            For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                            +

                                            +

                                            1) Complete your PLUM Profile here

                                            +

                                            2) Take a screenshot of your completed PLUM profile.

                                            +

                                            3) Complete a very short one-way video interview by clicking here

                                            +

                                            4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                            +

                                            +

                                            We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-ORO%2C-Regulatory-Data-Analyst%2C-Fall-2021-Co-op-ON/547206717/,feed-importer@jobboard.io,,,,2021-08-11T18:51:40.671Z,False,0,2,74,https://talenthub.vectorinstitute.ai/jobs/71753600-oro-regulatory-data-analyst-fall-2021-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-ORO%2C-Regulatory-Data-Analyst%2C-Fall-2021-Co-op-ON/547206717/,expired,2021-07-09T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -482e24de-4bb7-4dd7-a840-d74587fddc7b,71753639,Borealis AI,Machine Learning Engineering Lead,on_site,Toronto,2021-07-09T22:33:26.153Z,"

                                        What's the opportunity?

                                        We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                        -

                                        As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                        -

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. Each project we take on is like a small start-up, imagine working in a start-up that can immediately impact millions of customers! You can find out more about our work at www.borealisai.com.

                                        -

                                        Your responsibilities include:

                                        • Lead and directly manage a team of 4 engineers, being responsible for planning execution and delivery of ML systems;
                                        • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                        • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • Grow and develop the team, helping each team member advance in their career.
                                        • -
                                        -

                                        You’re our ideal candidate if you:

                                        • Have 7+ years of experience delivering software projects to production;
                                        • Have experience managing a team of engineers;
                                        • Have experience developing modular, robust, scalable software in a modern programming language;
                                        • Experience working with business, product and other technical teams;
                                        • Experience with scaling and performance of large systems;
                                        • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                        • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                        • Have background in machine learning or a related field;
                                        • Experience with Capital Markets or any financial domain is a big plus.
                                        • -
                                        -

                                        What’s in it for you?

                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        How to apply:

                                        Please email your resume to mi.research@borealisai.com and include where you heard about this opportunity.

                                        -

                                        About Borealis AI

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-11T18:49:52.473Z,False,0,0,33,https://talenthub.vectorinstitute.ai/jobs/71753639-machine-learning-engineering-lead-at-borealis-ai,,expired,2021-07-09T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Team Lead,No Degree,New Posting, -d3810b2d-63d4-43c7-96f6-e68c88368b06,72137804,Thales,Software Analyst - Intern,on_site,"Toronto, ON, Canada",2021-07-12T15:04:31.465Z,"

                                        Note - You must be a current student in order to be eligible for this role. Please do not apply if you have already graduated or you are graduating before the Fall 2021 term.

                                        Location: Toronto, Ontario, Canada
                                        Internship / Placement, Full time Location: Toronto, Canada

                                        +

                                        Location(s): Canada : Ontario : Toronto

                                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                        ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Scientist-Summer-2022-ON/550314017/,feed-importer@jobboard.io,,,,2022-01-24T18:51:00.000Z,False,0,14,105,https://talenthub.vectorinstitute.ai/jobs/102610053-velocity-data-scientist-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Scientist-Summer-2022-ON/550314017/,expired,2022-01-04T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +0bd68b12-d75f-4212-9db4-fa5952d6e7c3,104974072,Roche,Data Engineer,on_site,"Canada , Ontario , Mississauga",2022-01-20T07:21:17.257Z,"

                                        -

                                        Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.

                                        -

                                        Thales provides world-leading Communications-Based Train Control (CBTC) and interlocking for mass rail transit applications globally. The Centre of Competence for Urban Rail Signalling is located right before you at mid-town Toronto. As the largest office in Canada, we house a department for every step of the Software Development Lifecycle (SDLC)! This includes Software, Hardware, Systems Design, Verification & Validation, Operations, etc. The supporting corporate shared services teams in Finance, Human Resources and IT is also located at the office. Our office space was designed to provide a sustainable, healthy workplace that expresses TRSS’s brand while increasing collaboration. Features include Greenguard furniture, EnergyStar appliances, low-emitting adhesives, sealants, and sliding glass doors on internal offices provide daylight and views to the outside. Come join the big Transport family, here in Toronto!

                                        -

                                        We are currently hiring for a Software Analyst - Intern to join us for a 4 month internship position (beginning September 2021) to join the Thales Canada Transportation Solutions.

                                        -

                                        Joining Thales as an intern or coop student is a great way to launch your career! Our roles always provide real-life work experiences that align to your area of study. The Early Careers Program gives you more than just a job – you have the opportunity to begin your career. We offer training, networking opportunities, career development, and social events.

                                        -

                                        The successful Intern will perform design, analysis, programming and integration activities in the development of software for train control systems.

                                        -

                                        Key Responsibilities:

                                        +

                                        Location: Mississauga

                                        +

                                        Duration: Permanent

                                        +

                                        Title: Data Engineer

                                        +

                                        Department: Global PTS Analytics & Insights

                                        +

                                        +

                                        # Positions: 2

                                        +

                                        +

                                        Who we are

                                        +

                                        Behind every presentation of each product sold by Roche is the involvement of Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes medicines at sites around the world and includes more than 10,000 employees worldwide.

                                        +

                                        +

                                        The PT Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organization, delivering priority projects, advancing the analytical maturity of the organization, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                        +

                                        +

                                        +

                                        The Position

                                        +

                                        As a key role in the newly formed PT Global Analytics Hub, the Data Engineer will join and build capabilities in an Advanced Analytics Centre of Excellence, working with industry leading teams and technologies to build capabilities and create and implement innovative high impact solutions.

                                        +

                                        The role is for a passionate driven individual to lead, guide, and influence internal customers and team members.. As an AWS Data Engineer, you will have the opportunity to work on some of the world’s most complex challenges. You will apply your deep technical expertise to solve cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.

                                        +

                                        +

                                        The Data Engineer is an emerging leader with previous experience in a lead Data Engineering role. The Data Engineer will assist on larger projects or run smaller opportunities independently. A successful candidate has technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. The Data Engineer is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.

                                        +

                                        +

                                        You will collaborate with industry leading talent and expertise, and with access to market leading technologies and tools, create and implement innovative high impact solutions.

                                        +

                                        +

                                        +

                                        Job Overview

                                        +

                                        We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

                                        +

                                        +

                                        Responsibilities:

                                          -
                                        • Understands and follows the company’s processes and procedures for developing software applications
                                        • -
                                        • Implement supporting tools to real time systems in JavaScript and/or C#
                                        • -
                                        • Designs, codes, debugs, writes test procedures and tests software code
                                        • -
                                        • Reviews code, test procedures and test results
                                        • -
                                        • Analyses and implements corrections for defect reports
                                        • -
                                        • Support in-house testing teams to analyze and identify issues
                                        • +
                                        • Create and maintain optimal data pipeline architecture,
                                        • +
                                        • Assemble large, complex data sets that meet functional / non-functional business requirements.
                                        • +
                                        • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                        • +
                                        • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
                                        • +
                                        • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
                                        • +
                                        • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
                                        • +
                                        • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
                                        • +
                                        • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
                                        • +
                                        • Work with data and analytics experts to strive for greater functionality in our data systems.
                                        -

                                        Required Skills and Experience:

                                        -
                                        • Pursuing Bachelors or Masters degree in Electrical/Computer Engineering, Computer Science or equivalent
                                        -

                                        Preferred Skills and Experience:

                                        +

                                        Qualifications for Data Engineer

                                          -
                                        • Knowledge of software development environment
                                        • -
                                        • Knowledge of software architecture is considered an asset
                                        • -
                                        • Development experience in JavaScript and/or C# is required (vue.js considered an asset)
                                        • -
                                        • Experience with Visual Studio and Git
                                        • -
                                        • Experience with Linux is considered an asset
                                        • -
                                        • Knowledge of modern software engineering practices, methods and tools
                                        • +
                                        • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
                                        • +
                                        • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
                                        • +
                                        • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                                        • +
                                        • Strong analytic skills related to working with unstructured datasets.
                                        • +
                                        • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
                                        • +
                                        • A successful history of manipulating, processing and extracting value from large disconnected datasets.
                                        • +
                                        • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
                                        • +
                                        • Strong project management and organizational skills.
                                        • +
                                        • Experience supporting and working with cross-functional teams in a dynamic environment.
                                        • +
                                        • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
                                            +
                                          • Experience with big data tools: Hadoop, Spark, Kafka, etc.
                                          • +
                                          • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
                                          • +
                                          • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
                                          • +
                                          • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
                                          • +
                                          • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
                                          • +
                                          • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
                                          -

                                          Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                          ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-08-11T15:04:00.000Z,True,3,0,209,https://talenthub.vectorinstitute.ai/jobs/72137804-software-analyst-intern-at-thales,,expired,2021-07-12T15:04:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, -f4e903f6-f710-4344-87ba-910923b24bc1,72139292,Loblaw Companies Ltd.,Senior Data Engineering Specialist,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-07-12T15:27:01.400Z,"
                                          -
                                          -
                                          -

                                          Referred applicants should not apply directly to this role.

                                          -

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          -

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          -

                                          Why is this role important?

                                          -

                                          Senior Data Engineer

                                          -

                                          -

                                          -

                                          Loblaw Head Office

                                          -

                                          Location:

                                          -

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          -

                                          -

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          -

                                          -

                                          Why is this role important?

                                          -

                                          -

                                          Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                          -

                                          If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                          -

                                          -

                                          The Data & Analytics team at Loblaw is hiring a Senior Data Engineer with experience in building cloud-based modern data platforms from the ground up. Reporting to the Senior Manager – Data Engineering, the incumbent will be responsible for ingesting, wrangling, cleansing and delivering data to power our Analytics, BI and ML/AI capabilities. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

                                          -

                                          -

                                          What You'll Do:

                                          -

                                          -
                                            -
                                          • Build and maintain batch and real-time data pipelines.
                                          • -
                                          • Build and maintain an API gateway to manage integration points between the data platform and other applications and data consumers.
                                          • -
                                          • Build end-to-end processes supporting data ingestion, data transformations, data wrangling, data cleansing and data delivery.
                                          • -
                                          • Explore opportunities for optimization of existing data pipelines and re-designing of data infrastructure for greater scalability and performance.
                                          • -
                                          • Build and maintain a repository of metadata and lineage information about how data flows through its lifecycle.
                                          • -
                                          • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.
                                          • -
                                          • Contributes to the development and documentation of data management standards framework.
                                          • -
                                          • Mentor and cross-train junior data engineers.
                                          • -
                                          -

                                          -

                                          What You'll Bring:

                                          -
                                            -
                                          • University degree in Computer Science, Mathematics, Engineering or related field.
                                          • -
                                          • 5+ years of software engineering experience with strong focus on data.
                                          • -
                                          • 5+ years of relevant OO programming experience using Java and Python.
                                          • -
                                          • Experience working with Cloud data platforms technologies: Google Cloud Platform (Dataflow, Big Query, Apache Beam, Apache Airflow)
                                          • -
                                          • Experience using Gitlab to configure and build CI/CD pipelines.
                                          • -
                                          • Experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)
                                          • -
                                          • Advanced knowledge of SQL queries
                                          • -
                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                          • -
                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                          • -
                                          • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                          • -
                                          • Strong detail orientation is essential in this role
                                          • -
                                          • A Team player and self-starter -
                                          • -
                                          -

                                          -

                                          What You Can Expect:

                                          -

                                          We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                          -

                                          Other perks of joining Loblaw:

                                          -
                                            -
                                          • Competitive compensation and benefits package
                                          • -
                                          • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                          • -
                                          -
                                            -
                                          • A flexible work environment which values balance
                                          • -
                                          • Colleague Discount Program
                                          • -
                                          • Tuition reimbursement Program
                                          • -
                                          • Employee Share Ownership plan
                                          • -
                                          • Pension Plan
                                          • -
                                          -

                                          If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                          We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                          -

                                          How You’ll Succeed: 

                                          -

                                          At Loblaw, we seek great people to continually strengthen our culture.  We believe great people model our values, are authentic, build trust and make connections. 

                                          -

                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                          -

                                          In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                          -

                                          -

                                          #LI-FF1

                                          -

                                          How You’ll Succeed:

                                          -

                                          At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                          -

                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                          -

                                          -

                                          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                          -

                                          -

                                          -

                                          Employment Type:

                                          Full time

                                          -

                                          -

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                          -

                                          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                          -
                                          -
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Specialist_R2000208072,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-08-09T15:41:08.312Z,False,0,0,26,https://talenthub.vectorinstitute.ai/jobs/72139292-senior-data-engineering-specialist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Specialist_R2000208072,expired,2021-07-12T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -bf25cca0-2893-427e-86e2-703e49327406,72188518,Manulife,Associate Data Scientist (AADP Rotational Program),on_site,"Toronto, ON CA",2021-07-12T22:33:32.966Z,"

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          -

                                          -

                                          Job Description

                                          -
                                          -

                                          We are actively seeking bright, eager candidates who are immediately seeking to join Manulife’s Advanced Analytics Development Program for a 2021 Fall start.

                                          -

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          +
                                        • +
                                        +
                                          +
                                        • Excellent problem-solving skills.
                                        • +
                                        • General understand Roche Operating Principles and business processes.
                                        • +
                                        • Mobility: Ability to travel up to 10%
                                        • +
                                        +

                                        +

                                        This position is not eligible for relocation support.

                                        +

                                        +

                                        NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                        +

                                        +

                                        AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                        +

                                        +

                                        Roche is an equal opportunity employer.

                                        +

                                        +

                                        Job Level:

                                        Individual contributor
                                        ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202201-102143&locale=en&title=Data+Engineer&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2022-01-27T07:26:03.508Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/104974072-data-engineer-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202201-102143&locale=en&title=Data+Engineer,expired,2022-01-20T07:21:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +7e76e8ba-f044-4b2f-847c-bd47c702d238,105593417,TD Bank Group,Data Science & Advanced Analytics Associate Program (Graduate),on_site,"Toronto, ON",2022-01-24T20:33:03.934Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                        +

                                        TD’s Colleague Promise: A better you. A better us.

                                        +

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        -
                                        -

                                        The Advanced Analytics Development Program (AADP) provides an opportunity to be a member of a cross-functional team that includes experts in predictive modelling and machine learning. The program is a 24 month program with 2-3 placements/rotations in data scientist roles with our Advanced Analytics teams. Each rotation can range from 8 to 12 months in duration and will provide graduates with exposure to multi-dimensional, complex analytic initiatives across all lines of business: insurance, retirement, wealth management and investments.

                                        -

                                        The placement and its duration depend upon a number of factors including the participant's development needs and the needs of the business. The program allows you the opportunity to make an impact in a global organization by working on diverse teams and projects and gaining exposure to international business. First placements are located in one of Manulife's Divisional headquarters; Toronto, Waterloo, Boston or Hong Kong. Subsequent placements could be at any one of our operations in Canada, US or Asia based on development needs of the participant and placement opportunities available.

                                        +

                                        Department Overview

                                        +
                                        +

                                        Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                        +

                                        Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                        +

                                        As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                        +

                                        -

                                        How does Manulife differentiate as the employer of choice to build a career in Advanced Analytics?

                                        -

                                        1. Value At Manulife, Advanced Analytics is a change agent.

                                        -

                                        We are a business partner that helps with transforming the company using analytics to drive insight, action and value in everything Manulife does. The teams work closely with business leaders, build business cases and quantify the business value of the opportunity to the organization.

                                        -

                                        The successful candidate will work with the team and the business unit to:

                                        +

                                        Job Description

                                        +
                                        +

                                        The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                          -
                                        • Convert the business opportunity into an analytical problem

                                        • -
                                        • Measure the size of the opportunity

                                        • -
                                        • Determine key performance measures (KPIs) to track success.

                                        • -
                                        • Use a variety of statistical and machine learning techniques to solve the problem.

                                        • -
                                        • Demonstrate shared value through the conversion of algorithms into a business process.

                                        • +
                                        • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                        • +
                                        • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                        • +
                                        • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                        • +
                                        • Build production-scale solutions and work with deployment teams to integrate in business operations
                                        • +
                                        • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                        +

                                        -

                                        2. Challenging opportunities exist for the data scientist and data engineer.

                                        -

                                        In these roles the successful candidate will gain exposure utilizing software such as R, Python or SAS.

                                        -

                                        The data scientist is expected to either have or develop expertise in techniques such as:

                                        +

                                        Requirements

                                        +
                                          -
                                        • Classification and Regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge),

                                        • -
                                        • Decision Trees

                                        • -
                                        • Clustering (Traditional, Bagged, Hierarchical)

                                        • -
                                        • Random Forest

                                        • -
                                        • GBM, SVD, SVM

                                        • -
                                        • Neural networks

                                        • -
                                        • Text Mining (TF-IDF, Latent Dirichlet and Similarity models)

                                        • -
                                        • Optimizations (Linear and Non-linear)

                                        • -
                                        • Simulations (MCMC) etc.

                                        • -
                                        • Seeking a candidate who is pursing a Masters or PhD in Data Science or a related field, and will graduate within 0-2 years of 2020

                                        • +
                                        • Must be graduated between May 2020 and May 2022 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                        • +
                                        • At least 2 years of professional experience; which can include work terms during your completion of studies.
                                        • +
                                        • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                        • +
                                        • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                        • +
                                        • +Experienced in one or more of:
                                            +
                                          • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                          • +
                                          • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                          • +
                                          +
                                        • +
                                        • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                        • +
                                        • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                        -

                                        -

                                        The scientist will apply these methods to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all of the organization’s geographies and divisions.

                                        -

                                        The Data Engineer will gain valuable experience with a number of data technologies that support software development, advance analytics and reporting including:

                                          -
                                        • Cloud (Azure)

                                        • -
                                        • Hadoop (Hortonworks, Pivitol)

                                        • -
                                        • Statistical Packages (Matlab,)

                                        • -
                                        • Databases: HAWQ, HDB, MongoDB, Cassandra, HBase

                                        • -
                                        • Reporting and Data Visualization tools (Qlik, Tableau, Oracle etc)

                                        • -
                                        • Scripting Languages: Java, C++, PHP, Ruby

                                        • +
                                        • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                        • +
                                        • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                        • +
                                        • Remain current with emerging trends and technologies in Data Science
                                        -

                                        The engineer provides leadership and consultative support to data activities across the organization and is key to ensuring that the data environment supports value-add activities in analytics, decision making and direct customer facing activities.

                                        +

                                        -

                                        3. Continuous Development

                                        -

                                        Manulife is committed to Learning and Development. The candidate will be hired into the Advanced Analytics Development Program and introduced to a seasoned and eminent analytic leader in the organization who will act as a mentor. Manulife’s analytic leaders have backgrounds ranging from Management Consulting, P&C, Life, Investments, Retirements and who have solved Business Problems for the likes of Walmart, Caterpillar, Lowes, AT&T, Farmers, Capital One, Google, HSBC to name a few.

                                        -

                                        Program participants will have access to and can expect to participate in:

                                        +

                                        Additional Information

                                        +
                                          -
                                        • Kaggle-style data science competitions

                                        • -
                                        • Team and networking events

                                        • -
                                        • Monthly Global Best Practice meetings

                                        • -
                                        • Conferences/Training courses

                                        • -
                                        • Presentations to Executives

                                        • +
                                        • Application Deadline: January 23rd, 2022
                                        • +
                                        • Anticipated Start Date: July 4th, 2022 (pending academic completion)
                                        • +
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                        +
                                          +
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                        • +
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                        • +
                                        • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                        • +
                                        • #DAEarlyTalent #DataScientist
                                        • +
                                        +

                                        -

                                        Students graduating in 2022 and beyond will not be considered for this posting.

                                        -
                                        +

                                        Hours

                                        +
                                        37.5

                                        -


                                        If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                        -


                                        About Manulife

                                        -

                                        About Manulife Manulife Financial Corporation is a leading international financial services provider that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and our global wealth and asset management segment, Manulife Investment Management, serves individuals, institutions and retirement plan members worldwide. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of March 31, 2021, we had CAD$1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.3 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                        -

                                        Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                        ",,https://jobs.manulife.com/ShowJob/JobId/1164561/AssociateDataScientistAADPRotationalProgram,feed-importer@jobboard.io,,,,2021-07-16T00:39:38.839Z,False,0,5,22,https://talenthub.vectorinstitute.ai/jobs/72188518-associate-data-scientist-aadp-rotational-program-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1164561/AssociateDataScientistAADPRotationalProgram,expired,2021-07-12T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -1a54b097-34c4-4627-92ea-c9575fd04429,72188554,RBC,Data Engineer,on_site,"Halifax, Ontario, Canada",2021-07-12T22:34:09.167Z,"
                                        -

                                        What is the opportunity?

                                        -

                                        Research Technology builds data pipelines and analytics models for the data driven Research business within RBC Capital Markets. We are looking for an experienced data engineer who is quick to adapt to new technologies and enthusiastic about analyzing and automating data processing.

                                        -

                                        -

                                        What will you do?

                                        +

                                        Start Date

                                        +
                                        – Summer
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14652689/data-science-advanced-analytics-associate-program-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-27T16:05:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/105593417-data-science-advanced-analytics-associate-program-graduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652689/data-science-advanced-analytics-associate-program-graduate-toronto-ca/,expired,2022-01-24T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +38e83318-de9b-4271-b53c-304230590ee4,105593421,TD Bank Group,Data Intelligence & Reporting Intern/Co-op,on_site,"Toronto, ON",2022-01-24T20:33:04.589Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                        +

                                        Why TD?

                                        +

                                        TD’s Colleague Promise: A better you. A better us.

                                        +

                                        A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                        +
                                        +

                                        +

                                        Department Overview

                                        +
                                        +

                                        Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                        +

                                        Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                          -
                                        • Work in an agile team of Data Engineers, Scientists, Developers and RBC Equity Research stakeholders.
                                        • -
                                        • Collaborate with data scientists to develop data pipelines and analytics, using alt-data, to support Equity Research.
                                        • -
                                        • Enhance and optimize prototype analyses to run at scale on internal data lakes, or cloud platforms.
                                        • -
                                        • Work with platform and infrastructure groups to configure and stand-up required hardware and software stacks.
                                        • +
                                        • Leadership talks with key Leaders from across the organization
                                        • +
                                        • Lunch and Learns on topics such as Innovation
                                        • +
                                        • Diversity and Inclusion and Personal Branding and so much more
                                        -

                                        -

                                        What do you need to succeed?

                                        -

                                        -

                                        Must Have:

                                        +
                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Management and Reporting Co-op/Intern is a 4/8/12-month work term opportunity. We are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                                        +

                                        The Data Management and Reporting Co-op/Intern will perform a variety of activities, which may include:

                                          -
                                        • 5+ years of object oriented or functional programming experience with Python, Java/Scala with strong knowledge of algorithms and data structures.
                                        • -
                                        • Expertise with relational and non-relational databases. E.g. SQL Server, Oracle, Hadoop, Hive, Elasticsearch.
                                        • -
                                        • Big data processing using Hadoop or cloud platforms
                                        • -
                                        • Comfortable applying engineering best practices for Test Driven Development, integration testing, version control, Continuous Integration and Deployment
                                        • -
                                        • Undergraduate degree in Computer Science, Engineering or Mathematics
                                        • +
                                        • Supporting data pipelines to support analytics solutions through system and data integration, and structuring

                                        • +
                                        • Support data management activities, including data quality, metadata, and data lifecycle management in alignment with enterprise policies

                                        • +
                                        • Collaborate with technology partners to support data ingestion activities to enable the use of enterprise tools for analytics and data science

                                        • +
                                        • Conduct SQL queries and develop reporting to inform business decisions

                                        -

                                        -

                                        Nice to Have

                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                          -
                                        • Experience with Docker, Kubernetes, Cloud deployment.
                                        • -
                                        • Job scheduling with Airflow or other workflow scheduling systems.
                                        • -
                                        • Experience with Supervised and Unsupervised Machine learning.
                                        • -
                                        • Experience following agile methodologies.
                                        • -
                                        -

                                        -

                                        What’s in it for you?

                                        -

                                        -

                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        -
                                          -
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                        • -
                                        • Leaders who support your development through coaching and managing opportunities
                                        • -
                                        • Ability to make a difference and lasting impact
                                        • -
                                        • Work in a dynamic, collaborative, progressive, and high-performing team
                                        • -
                                        • A world-class training program in financial services
                                        • -
                                        • Flexible work/life balance options
                                        • -
                                        • Opportunities to do challenging work
                                        • +
                                        • Current enrollment in a relevant post-secondary program

                                        • +
                                        • Over 1 year of related experience

                                        • +
                                        • Proficient with MS Office Suite and internet applications

                                        • +
                                        • Strong communications skills with positive personality and willingness to accept challenges

                                        • +
                                        • A strong analytical mind with attention to detail and desire to learn and grow

                                        -

                                        -

                                        About RBC
                                        Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                        -

                                        -

                                        Inclusion and Equal Opportunity Employment
                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        -

                                        -

                                        Join our Talent Community

                                        -

                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        -

                                        -

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                        -

                                        -

                                        JOB SUMMARY
                                        City: Halifax
                                        Address: 120 Western Parkway, Bedford
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Position Level: CM - Professional
                                        Required Travel(%): 0-25
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 07/30/2021
                                        Req ID: 382678

                                        -

                                        -

                                        -

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/382678/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/72188554-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/382678/Data-Engineer,expired,2021-07-12T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a181c1c8-6c9f-4f07-8400-57e495459359,72188555,RBC,Senior Data Architect,on_site,"Toronto, Ontario, Canada",2021-07-12T22:34:09.440Z,"
                                        -

                                        The Senior Data Architect is responsible for data architecture and technology capabilities in support of business requirements and realization of Technology Infrastructure (TI) Data Platform and AIOps services. The role maintains strong partnerships with key enterprise stakeholders, including Business Platforms Architecture, Enterprise Architecture (EA) group and TI technology teams to lead development of an end-to-end TI data solutions architecture, technology standards and innovation for high complexity and high risk IT initiatives. The role provides technical leadership, vision, forward thinking, technical conflict resolution and enables technical coordination & support for the delivery of the TI data and analytics solutions, including AIOps data science solutions.

                                        -

                                        -

                                        -

                                        Key Accountabilities

                                        -

                                        +

                                        Assigned Line of Business Requirements

                                          -
                                        • Architect the TI data platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems and automating data feeds leveraging next-generation solution technologies and data architecture principles.
                                        • -
                                        • Define and manage data architecture for the AIOps Data Science team and participate in architecture review and approval process.
                                        • -
                                        • Provide architecture support and tough leadership for the several TI Data Engineering teams.
                                        • -
                                        • Work in an agile fashion to onboard data, define a business process for data ingestion and transformation; create and manage metadata for different data sources.
                                        • -
                                        • Work closely with Data Science team to provide environment and data automation capabilities.
                                        • -
                                        • Work closely with technical and business stakeholders on data governance, provisioning, and access control.
                                        • +
                                        • Currently enrolled in either a recognized undergraduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics or related, with the intent of going back to school at the start of your work term.

                                        • +
                                        • Strong statistical and analytical skills and interest are necessary.

                                        • +
                                        • Strong proficiency with Excel.

                                        • +
                                        • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.

                                        • +
                                        • Knowledge in one or more of R, Python, SQL, SAS or other data-related programming languages.

                                        • +
                                        • Knowledge in Tableau.

                                        • +
                                        • Knowledge with Data Management, Analytics, and Project Management is a plus.

                                        • +
                                        • Knowledge of data quality, business glossaries, and data dictionaries are considered an asset.

                                        +

                                        ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                        +
                                        +

                                        +

                                        Additional Information

                                        +
                                        +

                                        Early Talent Requirements

                                        +

                                        Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                          -
                                        • Defines end to end technical solutions (solution blueprint) that takes into account the architecture and technology strategies, current state environment and constraints. Analyzes the viability of the solution to meet program timeline, budget and quality.
                                        • -
                                        • Develops and presents solution alternatives along with recommendations to executives and senior management.
                                        • +
                                        • This position is a 4-month work term and will commence May 2nd – Aug 26th, 2022.

                                        • +
                                        • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

                                        • +
                                        • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                                        • +
                                        • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                                        • +
                                        • +

                                          TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                          +

                                          #DAEarlyTalent

                                          +
                                        +
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Start Date

                                        +
                                        – Summer
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14652696/data-intelligence-reporting-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-27T16:05:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/105593421-data-intelligence-reporting-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652696/data-intelligence-reporting-intern-co-op-toronto-ca/,expired,2022-01-24T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +4ff15027-1de9-4d18-a239-b0637a411ef1,106037712,Manulife,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-01-27T21:43:08.456Z,"
                                        +
                                        +
                                        +

                                        Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                        +

                                        +

                                        +

                                        +

                                        Working Arrangement

                                        Hybrid

                                        +

                                        Job Description

                                        +

                                        +

                                        Job Summary:

                                        +

                                        +

                                        As a Senior Data Scientist, you will play a key role in leading transformational projects in our Group Benefits business. Your broad knowledge of predictive analytics techniques will impact the lives of millions of Canadians, support Canadian businesses with the retention of employees, while managing costs, and enable Manulife employees with cutting edge solutions that deliver exceptional customer experiences.

                                        +

                                        +

                                        As a senior member of the Group Benefits data science team, you will collaborate with business leaders in Fraud, Disability Management, Operations, Product, Sales, Pricing and Underwriting to identify opportunities to apply advanced analytic algorithms and technologies (e.g. machine learning, artificial intelligence, deep learning) to deliver predictions and/or intelligent automation that will enable smarter business decisions, improved health outcomes, exceptional customer experiences and higher productivity for our Group Benefits team.

                                        +

                                        +

                                        Responsibilities:

                                          -
                                        • Presents solution architecture at the technology review forums, like peer-review and/or Architecture Review Board (ARB).
                                        • -
                                        • Develops the architecture artifacts (Solution Architecture, Architecture Decisions) as defined by the PMF/SDLC and reviews with Enterprise Architecture, Lead Architects, Business Architects, Infrastructure SMEs and key program stakeholders.
                                        • +
                                        • Consults with internal business leaders, identifies opportunities/challenges, and brings analytics driven insights/solutions to solve business problems.

                                        • +
                                        • Helps determine advanced analytics priorities and sequencing of projects to optimize business goals. Works closely with business leaders in change management as an outcome of model delivery.

                                        • +
                                        • Leads, develops, manages, and delivers projects of diverse scope.

                                        • +
                                        • Codifies processes/techniques/tools into best practices for other data scientists. Oversees the work of more junior data scientists. Participates in code and model review of other data scientists.

                                        • +
                                        • Works with Customer Experience, Human Center Design, Operations, and IT teams to bring model outputs to life to support business processes, and end users.

                                        • +
                                        • Provides thought leadership including researching new analytics methodologies, tools, and data

                                        • +
                                        • Innovates and finds creative ways to source data to support modeling efforts, utilizing structured and unstructured data using Big Data technologies and NLP

                                        • +
                                        • Actively involved in recruiting data science professionals and manages data science co-ops

                                        -

                                        -

                                        -

                                        Knowledge and Experience

                                        -

                                        +

                                        +

                                        Qualifications:

                                          -
                                        • Bachelor’s degree in computer science or computer engineering or other BS/BA degree with a concentration in computer science or information systems
                                        • -
                                        • 10+ years of IT experience – minimum 8 years of experience with solution architecture and design on large, complex data and analytics application and projects.
                                        • -
                                        • Proven experience in leading data architecture of a large program from initiation to implementation.
                                        • -
                                        • Working knowledge of financial applications as well as host based systems.
                                        • -
                                        • Experience and demonstrated understanding of how various regulations in different jurisdictions (North America vs. EMEA vs. APAC) can impact architectures and solutions.
                                        • -
                                        • Experience in developing systems architecture and solutions in a geographically dispersed team environment.
                                        • -
                                        • Experience in all aspects of architecture including application, data, security and infrastructure.
                                        • -
                                        • Advanced ability to apply industry/technical knowledge to provide solutions that increase business results and/or minimize risk regarding the integration of applications across multiple product systems and delivery channels.
                                        • -
                                        • Advanced ability to quickly evaluate options, make decisions and execute within an intense high-tech environment.
                                        • -
                                        • Strong leadership skills that can effectively manage large cross functional technical teams and ability to define, influence and impact the technical direction.
                                        • -
                                        • Expert documentation, written and verbal communication skills.
                                        • +
                                        • An advanced degree in Computer Science, Mathematics, Engineering, Statistics, or other quantitative discipline

                                        • +
                                        • Minimum 5 years of commercial experience solving high impact business problems using data science

                                        • +
                                        • Experience leading initiatives across the entire advanced analytics lifecycle from business problem through to deployment

                                        • +
                                        • Practical experience with big data processing frameworks, and platforms such as Azure, Databricks, Spark, Hive, PCF

                                        • +
                                        • Excellent communication skills – able to translate complex data science concepts to technical and non-technical stakeholders. Masterful storyteller able to galvanize others to act.

                                        • +
                                        • Agile thinker with a bias for action, able to remove roadblocks fast.

                                        • +
                                        • Track record of implementing models into production with business value.

                                        -

                                        -

                                        Technical Competencies

                                        -

                                        Must-have

                                        +

                                        +

                                        +

                                        Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                        +

                                        +

                                        About John Hancock and Manulife

                                        +

                                        +

                                        John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                        +

                                        +

                                        One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                        +

                                        +

                                        Manulife is an Equal Opportunity Employer

                                        +

                                        +

                                        At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                        +

                                        +

                                        It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                        +
                                        +
                                        ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Senior-Data-Scientist_JobReq0439914-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2022-01-31T15:20:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/106037712-senior-data-scientist-at-manulife,,expired,2022-01-27T21:43:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +b9c209a9-d479-486e-b56f-b4777ebdcd28,103965617,TD Bank Group,"Manager, Business Insights",on_site,"Markham, ON",2022-01-13T20:33:04.339Z,"
                                        +

                                        Company Overview

                                        +
                                        +

                                        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                        +

                                        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                        +
                                        +

                                        +

                                        Department Overview

                                        +

                                        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.
                                        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                        +

                                        +

                                        Job Description

                                        +
                                        +

                                        You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                        +

                                        We are looking for accomplished insights manager to lead and cultivate a team of Business Insights & Analytics professionals/specialists.

                                        +

                                        As the Manager, Analytics & Insights you will:

                                          -
                                        • Minimum 10+ years in enterprise scale data architecture and data engineering projects with preferably 3+ years in cloud native data solutions.
                                        • -
                                        • Experience working with several relational data solution such as SQL Server, MySQL, MariaDB, PostgreSQL.
                                        • -
                                        • Experience working/supporting Data Science and/or Analytics teams.
                                        • -
                                        • Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                        • -
                                        • Experience with enterprise level security solutions for identity and access management.
                                        • -
                                        • Experience with analysis techniques and measurement tools to continuously build valuable insights and business recommendations.
                                        • -
                                        • Effective programming / query skills and knowledge of common data manipulation, visualization and analytical tools (Tableau, Graphana, Kibana or similar.)
                                        • -
                                        • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined.
                                        • -
                                        • Analytical, insights driven with the ability to help the organization to leverage data driven decisions.
                                        • -
                                        • Strategic with strong change management, continuous improvement and transformation skills.
                                        • +
                                        • Lead and manage a team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                        • +
                                        • Develop analytic solutions to support insight generation for a variety of ad-hoc requests
                                        • +
                                        • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                        • +
                                        • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                        • +
                                        • Support all relevant projects and initiatives to ensure project data and reporting requirements are met; may also be accountable to lead the team in bridging the gap between analytic outputs and business insights, including improving information presentation/delivery and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                        • +
                                        • Collaborate with business partners to shape and prioritize ad hoc analysis
                                        • +
                                        • Set operational team direction, working in partnership to execute on common goals
                                        • +
                                        • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                        • +
                                        • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                        • +
                                        • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                        • +
                                        • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                        • +
                                        • Support execution with excellence on key initiatives/programs
                                        • +
                                        • Design effective test and learn for various programs or scenarios
                                        • +
                                        • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                        • +
                                        • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                        • +
                                        • Present insights back to executive leaders / business partners to drive strategic improvement
                                        -

                                        Nice-to-have

                                        +
                                        +

                                        +

                                        Requirements

                                        +
                                        +What can you bring to TD?
                                        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                        +

                                        Requirements
                                        Bachelor’s degree required, preference in the field of Mathematics, Statistics, Actuarial Sciences, Computer Science.
                                        5+ years relevant experience in Business Intelligence, Reporting and Insights
                                        2+ years experience in team and stakeholder relationship management
                                        Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                        Ability to work collaboratively, communicate effectively and build relationships across teams and functions
                                        Project management and business analysis competencies

                                        +

                                        Assets
                                        Knowledge of Insurance, notably TDI Life & Health systems and data
                                        Knowledge of computer extraction and data analysis languages (SAS, SQL, Python etc.)
                                        Knowledge of data visualization (Tableau, Power BI, Pandas, NumPy etc.)

                                        +
                                        +

                                        +

                                        Hours

                                        +
                                        37.5
                                        +

                                        +

                                        Inclusiveness

                                        +

                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                        +

                                        +
                                        ",,https://jobs.td.com/en-CA/jobs/14160316/manager-business-insights-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-31T15:20:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/103965617-manager-business-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14160316/manager-business-insights-markham-ca/,expired,2022-01-13T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +699172cd-1e12-4e05-acc8-c8fd1bcc6bed,95914112,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2021-11-25T21:17:49.974Z,"

                                        We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                        +

                                        As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                        +

                                        Must-Have

                                          -
                                        • Experience working with infrastructure operations management data, i.e. monitoring, logs, alerts, and incident data.
                                        • -
                                        • Experience with graph databases like neo4j and GraphX.
                                        • -
                                        • Experience working with cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lamba, RedShift, Azure DW.
                                        • -
                                        • Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure.
                                        • -
                                        • Exposure to building and deploying predictive and prescriptive analytics models using any of the following: Python SciKit, R and Pytorch.
                                        • -
                                        • Experience with ML Ops tools such as Dataiku or MLFlow.
                                        • -
                                        • Experience with next generation solution delivery on key technologies such as Python, Kafka, Spark, Apigee, Jenkins; container solutions including Docker/Kubernets; and on-prem cloud technologies such as Openshift or Pivotal.
                                        • +
                                        • Experience with building and scaling data-intensive software in Java
                                        • +
                                        • You value good software design and sweat over details in code and API design
                                        • +
                                        • Knowledge of machine learning modelling workflow
                                        • +
                                        • You enjoy learning new technology and also educating others
                                        • +
                                        • You strive to communicate clearly and with empathy
                                        • +
                                        • You take great personal pride in building robust and scalable software
                                        • +
                                        • You are highly accountable and have a strong sense of ownership
                                        • +
                                        • Ability to do detailed code reviews and give thoughtful feedback
                                        -

                                        -

                                        Attributes

                                        -

                                        +

                                        +

                                        Nice to have

                                          -
                                        • Exceptional leadership.
                                        • -
                                        • Critical thinker, analytical.
                                        • -
                                        • Can deal with ambiguity and requests for change.
                                        • -
                                        • Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure.
                                        • -
                                        • Strong time management skills.
                                        • -
                                        • Business acumen.
                                        • -
                                        • Comfortable in high pressure, deadline-oriented environment.
                                        • -
                                        • Ability to adapt quickly.
                                        • -
                                        • Team player, cooperative with strong interpersonal skills.
                                        • -
                                        -

                                        -

                                        Travel Requirements

                                        -

                                        Some travel will be required for this role. RBC will provide adequate notification of any travel needs to allow for timely arrangements.

                                        -

                                        -

                                        +
                                      • Experience building a library or a framework
                                      • +
                                      • Knowledge of machine learning algorithms
                                      • +
                                      • Experience with Kubernetes
                                      • +
                                      • Data analytics
                                      • +
                                      • Comfortable with math or statistics
                                      • +",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-02-03T21:17:00.000Z,False,1,0,44,https://talenthub.vectorinstitute.ai/jobs/95914112-machine-learning-engineer-framework-at-layer-6,,expired,2021-11-25T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +9e354364-8ee8-458e-b55b-b26e0f382193,105137079,Deloitte,"Data Analyst, Omnia AI",on_site,"Ontario, Canada",2022-01-21T02:42:49.917Z,"

                                        Job Type: Permanent
                                        Primary Location: Multiple Locations, Canada
                                        All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                        +

                                        Learn from deep subject matter experts through mentoring and on the job coaching
                                        Partner with clients to solve their most complex problems

                                        +

                                        Be empowered to lead and have impact with clients, our communities and in the office.

                                        +
                                        +
                                        +

                                        +

                                        You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                        +
                                        +
                                        +

                                        What will your typical day look like?

                                        +

                                        -

                                        Learn more about RBC Tech Jobs



                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Toronto
                                        Address: 330 FRONT STREET WEST - 10th floor
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Required Travel(%): 0-25
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 07/14/2021
                                        Platform: Technology and Operations

                                        Req ID: 382920
                                        Ad Code(s):

                                        +

                                        As a Data Analyst on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them, and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy, and have a solid understanding of software development.

                                        +

                                        Specifically, in this role, you will:
                                        • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                        • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                        • Plan/schedule tasks, lead small development teams and mentor junior colleagues
                                        • Facilitate technical meetings with client staff, and advise the client with technical option analyses based on leading practices

                                        +
                                        +
                                        +
                                        +

                                        About the team

                                        +

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/72188555-senior-data-architect-at-rbc,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,expired,2021-07-12T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -cb82952c-d8ff-4331-925b-07e08741a67b,72563108,Borealis AI,Machine Learning Software Engineer,on_site,"Toronto, Montreal, Vancouver",2021-07-14T22:33:29.083Z,"

                                        What’s the opportunity?

                                        We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                        -

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        -

                                        Your responsibilities include:

                                        • Building machine learning-based software solutions for solving important problems;
                                        • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        • -
                                        -

                                        You’re our ideal candidate if you:

                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                        • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                        • Familiarity with the Unix command line and bash scripting;
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                        • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                        • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                        • -
                                        -

                                        What's in it for you?

                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                        • Leaders who support your development through coaching and managing opportunities;
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        • -
                                        -

                                        How to apply:

                                        Please email your CV, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                        -

                                        About Borealis AI

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        -

                                        Inclusion and Equal Opportunity Employment

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-03T00:39:12.636Z,False,0,0,48,https://talenthub.vectorinstitute.ai/jobs/72563108-machine-learning-software-engineer-at-borealis-ai,,expired,2021-07-14T22:33:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f647dfa2-bab8-4239-b66c-ba98d7a91d52,72581384,Armilla AI,Senior Front-End Software Developer,temporary,"Toronto, ON, Canada",2021-07-15T00:54:28.868Z,"

                                        Job description

                                        -

                                        If you are -passionate about the creation of ethical and accountable technology, -this is a unique opportunity to help turn safe, responsible AI into a -reality. We are looking for an extremely driven Senior Front-End Software Developer to join the founding technical team and take ownership in building out our platform.

                                        -

                                        Requirements:

                                        -
                                          -
                                        • Develop a highly interactive and customizable frontend of the -platform for AI validation and governance with modern Javascript -technologies
                                        • -
                                        -
                                          -
                                        • Implementing various analytical dashboards including the UI of scalable AI monitoring
                                        • -
                                        -
                                          -
                                        • Write tests, review code, and perform iterative agile development practices
                                        • -
                                        -
                                          -
                                        • Document design decisions and API descriptions
                                        • -
                                        -
                                          -
                                        • Proactively look for new ideas and research/learn better technologies to advance the company’s mission
                                        • -
                                        -
                                          -
                                        • Efficiently work with AI researchers, business leaders, and other technical members
                                        • -
                                        -
                                          -
                                        • Must be able to take ownership of work to build excellent products
                                        • -
                                        -
                                          -
                                        • Work experience in highly-regulated industry (e.g. financial institutions) is a nice-to-have
                                        • -
                                        -

                                        Qualifications and Skills:

                                        -
                                          -
                                        • 3+ years of experience as a front-end developer
                                        • -
                                        -
                                          -
                                        • Strong experience with Javascript frameworks such as React/Angular, or similar
                                        • -
                                        -
                                          -
                                        • Experience related to js plotting tools such as D3, etc. is a must
                                        • -
                                        -
                                          -
                                        • Experience with CI/CD tools such as Jenkins, GitLab
                                        • -
                                        -
                                          -
                                        • Working experience with typescript
                                        • -
                                        -
                                          -
                                        • Solid foundation in Computer Science concepts, design principles and data structures
                                        • -
                                        -
                                          -
                                        • A proactive interest in aesthetic design and attention to detail
                                        • -
                                        -
                                          -
                                        • Willingness to work on AI/Machine Learning products (no experience in AI is needed)
                                        • +

                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                                          +

                                          Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                          +
                                        +
                                        +
                                        +

                                        Enough about us, let’s talk about you

                                        +
                                        +

                                        +

                                        You are someone with:

                                        +

                                        • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                        • 2-3 years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                        • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                        • Experience with Agile development methods in data-oriented projects
                                        • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                        +


                                        If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                        +

                                        The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                        +
                                        +
                                        +
                                        +

                                        Why Deloitte?

                                        +

                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                        +
                                        • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                        • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                        • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                        -

                                        Experience with developing in Python is a plus

                                        -

                                        This is a full-time position located in Toronto, ON and is -temporarily remote. In early 2022, we expect to be transitioning -employees into our offices in the downtown core 2-3 days per week, for -creative collaboration, high value team dynamics, sharing and learning.

                                        -

                                        Armilla is a highly-inclusive company. This opportunity invites any -qualifying candidate to join a well-funded startup as part of the -technical founding team and build products that ensure responsible, -ethical, and efficient governance of AI.

                                        ",dclarkson@armilla.ai,,dclarkson@armilla.ai,https://www.armilla.ai/,,,2021-08-14T14:25:53.850Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/72581384-senior-front-end-software-developer-at-armilla-ai,,expired,2021-07-15T00:54:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Software,Mid-Senior Level,College Diploma,New Posting, -44f314a9-f98c-495f-b0fc-c7fd9e64bd6e,72581747,Armilla AI,Lead Full Stack Python Developer,on_site,"Toronto, ON, Canada",2021-07-15T00:58:15.846Z,"

                                        If you are passionate about the creation of -ethical and accountable technology, this is a unique opportunity to help - turn safe, responsible AI into a reality. We are looking for an -extremely driven Lead Full Stack Python Developer to join the founding technical team and take ownership in building out our platform.

                                        -

                                        Requirements:

                                        -
                                        • Help develop a robust platform in Python for AI validation and governance
                                        -
                                        • Write tests, review code, and perform iterative agile development practices
                                        -
                                        • Document design decisions and API descriptions
                                        -
                                        • Proactively look for new ideas and research/learn better technologies to advance the company’s mission
                                        -
                                        • Efficiently work with AI researchers, business leaders, and other technical members
                                        -
                                        • Must be able to take ownership of work to build excellent products
                                        -
                                        • Work experience in highly-regulated industry (e.g. financial institutions) is a nice-to-have
                                        -

                                        Qualifications and Skills:

                                        -
                                        • 3+ years of software development experience in Python and it’s ecosystems (including Django, Python scientific libraries, etc)
                                        -
                                        • Experience with Javascript frameworks such as React/Angular, or similar
                                        -
                                        • Experience related to js plotting tools such as D3
                                        -
                                        • Experience with CI/CD tools such as Jenkins, GitLab
                                        -
                                        • Solid foundation in Computer Science concepts, foundational algorithms, design patterns and common architectures
                                        -
                                        • Demonstrable knowledge of effective Python design principles and data structures
                                        -
                                        • Must demonstrate experience with sql/no-sql databases (Postgres, mariadb etc.)
                                        -
                                        • Industry experience in developing robust, scalable, and maintainable software
                                        -
                                        • Familiar with cloud, big-data, and microservice architectures
                                        -
                                        • Willingness to work on AI/Machine Learning products (no experience in AI is needed, but a nice-to-have)
                                        -
                                        • Experience with developing in other languages is a plus
                                        -

                                        This - is a full-time position located in Toronto, ON and is temporarily -remote. In early 2022, we expect to be transitioning employees into our -offices in the downtown core 2-3 days per week, for creative -collaboration, high value team dynamics, sharing and learning.

                                        -

                                        Armilla - is a highly-inclusive company. This opportunity invites any qualifying -candidate to join a well-funded startup as part of the technical -founding team and build products that ensure responsible, ethical, and -efficient governance of AI.

                                        ",dclarkson@armilla.ai,,dclarkson@armilla.ai,https://www.armilla.ai/,,,2021-08-14T14:26:00.000Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/72581747-lead-full-stack-python-developer-at-armilla-ai,,expired,2021-07-15T00:58:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Software,Team Lead,College Diploma,New Posting, -b7d98aa4-fe93-49cd-97d3-cfc6852f4ffd,72659486,Loblaw Companies Ltd.,"Senior Data Analyst, Data Management",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-07-15T15:27:01.588Z,"
                                        +


                                        The next step is yours

                                        +

                                        Sound like The One Firm. For You?

                                        +

                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                        +

                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                        ",,https://careers.deloitte.ca/job/Toronto-Data-Analyst%2C-Omnia-AI-ON-M5C-3G7/818003400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-03T17:30:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/105137079-data-analyst-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Analyst%2C-Omnia-AI-ON-M5C-3G7/818003400/,expired,2022-01-21T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +11b2ce25-3b16-449f-92a8-e330caf38a54,105954531,CIBC,"Consultant, Business Analytics and Data Engineering, Cards and Deposits",on_site,"Ontario, Canada",2022-01-27T10:03:08.014Z,"
                                        -

                                        Referred applicants should not apply directly to this role.

                                        -

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        -

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                        -

                                        Why is this role important?

                                        -

                                        Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for innovative, talented, and energetic people to help bring our Data Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way! If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                        +

                                        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                        -

                                        The Data Insights & Analytics team at Loblaw is seeking a Senior Data Analyst with background in big data, cloud and relational databases. We are currently in the process of modernizing the data infrastructure onto cloud technologies to unlock the value of our data and drive richer insights to our business partners.

                                        +

                                        At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                        -

                                        Reporting to the Senior Manager, Data Insight & Analytics, the incumbent will support large data initiatives by leveraging their expertise in obtaining, analyzing and manipulating data to identify insights and data patterns. He or she will be responsible for creating and maintaining data requirements, transformations and system documentation.

                                        +

                                        To learn more about CIBC, please visit CIBC.com

                                        -

                                        What You'll Do:

                                        +

                                        Job Description

                                        +

                                        +

                                        What You’ll Be Doing

                                        +

                                        The Consultant, Business Analytics and Data Engineering reporting to the Director, Cards and Deposits Data, Analytics and Decision Science and will be accountable for the day-to-day and strategic opportunities that align with the PBB Strategy. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will work on the delivery of data driven insights and solutions to evaluate client behaviors and to optimize business decisions related to product, campaign, pricing and other business areas.

                                        +

                                        +

                                        At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                        +

                                        +

                                        How You’ll Succeed

                                        +

                                        +
                                        • +Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
                                          -
                                        • Responsible for the extraction and analysis of complex information from a variety of databases.
                                        • -
                                        • Provide support to Data Governance initiatives such as data quality, data lineage and metadata management.
                                        • -
                                        • Transform extracted data from large and disconnected datasets into insights suitable for presentation to various audiences.
                                        • -
                                        • Develop capabilities to identify areas of opportunity and improve business processes, data architecture and reporting efficiency.
                                        • -
                                        • Work collaboratively with business and analytics groups, on cross functional projects and data initiatives to solve business problems.
                                        • -
                                        • Extract, review and prepare data for analysis & reporting using SQL and/or Python.
                                        • -
                                        • Creation of UML diagrams including but not limited to sequence and data flow diagrams.
                                        • -
                                        • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information.
                                        • +
                                        • +Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.
                                        • +
                                        • +Strategic Thinking Approach – Drive, manage and execute PBB data and reporting projects and initiatives in alignment with CIBC and PBB Strategy while supporting the business goals, objectives and KPIs. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.
                                        • +
                                        • +Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.
                                        • +
                                        • +Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
                                        • +
                                        • +Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.

                                        -

                                        What You'll Bring:

                                        +

                                        Who You Are

                                          -
                                        • Mandatory: Advanced SQL querying for data mining, extraction and preparation.
                                        • -
                                        • University Degree in Computer Science, Statistics, Mathematics or Information Systems is preferred.
                                        • -
                                        • Minimum 5 years of experience in utilizing advanced data extraction and manipulation tools (MS SQL, Teradata, etc.).
                                        • -
                                        • Minimum 5 years of experience in Data mining working with large relational databases.
                                        • -
                                        • Technical background with a solid understanding of database design is an asset.
                                        • -
                                        • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                        • -
                                        • Experience with Cloud technologies (GCP, Azure) is an asset.
                                        • -
                                        • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data.
                                        • -
                                        • Demonstrated knowledge of the data management lifecycle, including experience with data quality and metadata management.
                                        • -
                                        • Experience in conducting business analysis to gather requirements from non-technical stakeholders.
                                        • -
                                        • A Team player and self-starter with the ability to take initiative, multi-task and work in a fast-paced environment.
                                        • +
                                        • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard. +
                                        • +
                                        • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. Understanding internal banking processes and how they translate into data outputs.
                                        • +
                                        • +You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                        • +
                                        • +You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                        • +
                                        • +Your influence makes an impact. You use your relationships and technical knowledge to influence enterprise projects.
                                        • +
                                        • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                        -

                                        What You Can Expect:

                                        -

                                        We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                        -

                                        -

                                        Other perks of joining Loblaw:

                                        +

                                        What CIBC Offers

                                        +

                                        At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                          -
                                        • Competitive compensation and benefits package
                                        • -
                                        • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                        • -
                                        • A flexible work environment which values balance
                                        • -
                                        • Colleague Discount Program
                                        • -
                                        • Tuition reimbursement Program
                                        • -
                                        • Employee Share Ownership plan
                                        • -
                                        • Pension Plan
                                        • +
                                        • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                        • +
                                        • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                        • +
                                        • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                        -

                                        If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                        We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                        +

                                        What you need to know

                                        +
                                          +
                                        • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                        • +
                                        • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                        • +
                                        • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                        • +

                                        -

                                        #LI-FF1

                                        -

                                        How You’ll Succeed:

                                        -

                                        At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                        -

                                        If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                        -

                                        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                        -

                                        Employment Type:

                                        Full time

                                        -

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                        -

                                        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                        +

                                        Job Location

                                        Toronto-81 Bay, 25th Floor

                                        Employment Type

                                        Regular

                                        +

                                        Weekly Hours

                                        37.5

                                        Skills

                                        +

                                        Alteryx, Databricks, IBM Cognos Business Intelligence, IBM Netezza, Python, SAS BI, Tableau
                                        +
                                        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Business-Analytics-and-Data-Engineering--Cards-and-Deposits_2133843-1,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-03T10:08:04.534Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/105954531-consultant-business-analytics-and-data-engineering-cards-and-deposits-at-cibc,,expired,2022-01-27T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +4fba41e2-a17e-4905-a62a-dd45d4220869,102876636,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-01-06T07:19:03.426Z,"
                                        +
                                        +

                                        Description

                                        +
                                        +

                                        +

                                        Join our team

                                        +


                                        The Marketing, Strategy & Data Insights team support TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                        +

                                        Here’s the impact you’ll make and what we’ll accomplish together

                                        +


                                        You’ll collaborate with teams across the company, seeking out various data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                        +


                                        As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing of novel AI techniques to discover insights, to developing automation pipelines and ML models.

                                        +

                                        -
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000206175,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-08-05T15:41:09.170Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/72659486-senior-data-analyst-data-management-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000206175,expired,2021-07-15T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -859688ba-7c97-4f68-aad4-6847bbd60e8c,72793521,Canadian Institute for Health Information,"Senior Analyst, Advanced Analytics ",on_site,"Ottawa, ON, Canada",2021-07-16T12:43:12.264Z,"

                                        Who we are

                                        -

                                        We are an organization comprised of industry thought leaders who are passionate about health data and want to make a difference in the health care field. We are an independent, not-for-profit organization and together with our partners we provide essential information on Canada's health systems, enabling decisions that lead to healthier Canadians. As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution of Canada's health care systems.

                                        -

                                        CIHI is recognized as an exceptional place to work that embraces diversity, respect, integrity, collaboration and innovation.

                                        -

                                        At CIHI, we recognize what matters to our employees. Some of the benefits of working at CIHI include

                                        -
                                          -
                                        • Generous vacation days
                                        • -
                                        • Flexible benefits program from your first day on the job
                                        • -
                                        • HOOPP Pension Plan (Defined Pension)
                                        • -
                                        • Retirement Planning Program
                                        • -
                                        • Work-life balance
                                        • -
                                        • Career Planning Program
                                        • -
                                        • Learning and Professional Development Program
                                        • -
                                        -

                                        Why is this role important?

                                        -

                                        The Senior Analyst contributes to the development of software models and tools to forecast health services needs and utilization, for use in informing heath policy, health systems, and the delivery of health services in Canada. The Senior Analyst supports the learning and development of advanced machine learning techniques across CIHI analytical staff, and provides statistical and methodological advice and technical expertise as part of collaboration with other organizational units. Key projects currently include predicting personalized emergency department wait time, predicting resource demand for influenza and other diseases, and supporting Data Science Learning Program for CIHI’s analyst staff.

                                        -



                                        What you'll do

                                        -
                                          -
                                        1. Supports the development of complex analysis of health data to understand stakeholder problems and develop solutions.
                                        2. -
                                        3. Supports the development of statistical and machine learning models for forecasting supply and demand of health services, and cross-sector service access and flows.
                                        4. -
                                        5. Effectively communicates analytical results by translating statistical learnings into business language to increase the impact of the analysis.
                                        6. -
                                        7. Supports the preparation of documentation, reports, presentations and discussion papers related to projects and activities.
                                        8. -
                                        9. Works closely with internal team members and external partners to ensure project deliverables are completed on time.
                                        10. -
                                        11. Contributes to creation of learning opportunities and knowledge sharing to CIHI staff in the areas advanced analytics, statistical and machine learning methods and data visualization.
                                        12. -
                                        13. Provides methodological and data quality advice in focused area(s) of expertise.
                                        14. -
                                        15. Ensures that quality of products and activities meet CIHI standards (e.g. quality, privacy, security, ethics).
                                        16. -
                                        -



                                        What you'll bring to the table

                                        -
                                          -
                                        • Extensive working experience with Python and R to manipulate data and draw insights from large datasets. Experience with SAS is an asset.
                                        • -
                                        • Strong problem solving skills, with an emphasis on developing products and services to support stakeholder business decisions.
                                        • -
                                        • Strong organizational skills with a demonstrated ability to manage multiple tasks and priorities.
                                        • -
                                        • Strong interpersonal and presentation skills are essential, including the ability to communicate (both orally and in writing) complex ideas in simple terminology.
                                        • -
                                        • Proven ability to work as part of a team, and to work with minimal supervision.
                                        • -
                                        • Teaching experience in higher education is an asset.
                                        • -
                                        • Experience with federal, provincial, or hospital healthcare datasets is an asset.
                                        • -
                                        • Familiarity with AWS, Google Cloud, or Microsoft Azure is an asset.
                                        • -
                                        • Understanding of Canada's federal and provincial healthcare systems is an asset.
                                        • -
                                        • Fluency in English required, bilingualism is an asset
                                        • -
                                        -



                                        Basic Qualifications

                                        -
                                          -
                                        • Undergraduate degree in Mathematics, Statistics, Biostatistics, Economics, Computing Science, Data Science, or related field or equivalent experience. Graduate degree is an asset.
                                        • -
                                        • A minimum of three years’ experience performing analysis statistical and machine learning techniques such as forecasting, statistical inference, regression, tree-based ensemble methods (random forest, gradient boosting), neural networks, natural language processing, and data visualization.
                                        • -
                                        +
                                        +
                                        +

                                        Here\'s how

                                        +
                                        +

                                        +


                                        • Lead the iterative development, validation, and deployment of AI/ML models
                                        • Collaborate on end-to-end automation efforts required to bring models to production
                                        • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                        • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                        • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                        • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities

                                        +

                                        +
                                        +
                                        +
                                        +

                                        Qualifications

                                        +

                                        -

                                        *Please note this role can report into our Ottawa or Toronto Office.

                                        Closing Statement

                                        -

                                        To find out more about this role and other exciting opportunities visit our website at www.cihi.ca and check out our 'Careers' section.

                                        -

                                        We thank all those who apply, however, only candidates selected for an interview will be contacted.

                                        Employment Equity

                                        -

                                        At CIHI we are committed to fostering an inclusive, barrier-free and accessible environment. Part of this commitment includes arranging accommodations to ensure an equitable opportunity to participate in the recruitment and selection process. If you require an accommodation, we will work with you to meet your needs.

                                        -

                                        ",msaikali@cihi.ca,,msaikali@cihi.ca,http://www.cihi.ca/careers,,,2021-08-15T13:31:32.251Z,False,0,2,38,https://talenthub.vectorinstitute.ai/jobs/72793521-senior-analyst-advanced-analytics-at-canadian-institute-for-health-information,,expired,2021-07-16T12:43:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -9824832d-751e-4561-8121-2f9590da5a8b,73118756,RBC,"Manager, CBO Data & Analytics COE",on_site,"Toronto, Ontario, Canada",2021-07-19T22:35:11.716Z,"
                                        -

                                        What is the opportunity?

                                        -

                                        -

                                        You will play a key role in CBO (Canadian Banking Operations) Data & Analytics COE to support a number of strategic priorities which advance data analytics and governance capability in Operations. The role will lead and participate in a number of initiatives to work with our key business and enterprise partners to analyze large data sets, create/scale data science models, document data dictionary and lineage and support data pipelines for prioritized use cases.

                                        -

                                        -

                                        What you will do:

                                        +

                                        You\'re the missing piece of the puzzle

                                        +


                                        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                        • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                        • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                        • You possess advanced knowledge in SQL and Apache Spark
                                        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                        • You are agile and have a bias for action, removing roadblocks to get results fast

                                        +

                                        +

                                        Great-to-haves

                                        +


                                        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                        • GCP or other cloud certifications

                                        +

                                        +
                                        +
                                        +
                                        ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/554190317/,feed-importer@jobboard.io,,,,2022-02-05T15:38:57.154Z,False,0,19,80,https://talenthub.vectorinstitute.ai/jobs/102876636-data-scientist-at-telus,,expired,2022-01-06T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +68edd44a-7919-4282-b61b-e70b8b370bed,102956016,RBC,"Machine Learning Software Engineer, Summer 2022 Co-op Opportunities",on_site,"Ontario, Canada",2022-01-06T19:44:47.583Z,"

                                        Machine Learning Software Engineer Co-op

                                        +

                                        LOCATION: Virtual

                                        +

                                        What’s the opportunity?

                                        +

                                        We’re looking for an enthusiastic software engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer, you’ll be involved a project end to end – everything from data pre-processing to implementing machine learning algorithms and front-end development.

                                        +

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        +

                                        Your responsibilities include:

                                          -
                                        • Work with large data sets (both structured and unstructured) across multiple source systems for extraction, processing, exploration and analysis
                                        • -
                                        • Supporting engineering of data pipelines end to end to support prioritized business insight use cases
                                        • -
                                        • Build and apply advanced statistical and deep learning models (data mining, forecasting, supervised machine learning, natural language processing etc.) as appropriate to test business hypotheses and built data products
                                        • -
                                        • -Data storage management. Gather, combine and aggregate data from different data sources into Cloud and standardized CBO data storage.
                                          -
                                        • +
                                        • Building machine learning-based software solutions for solving important problems;
                                        • +
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • +
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • +
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • +
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • +
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        -

                                        Must have:

                                        +

                                        You’re our ideal candidate if you:

                                          -
                                        • Experience with Python, SQL programming
                                        • -
                                        • Strong data profiling, cleaning, and mining skills. Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
                                        • -
                                        • Strong communication skills both written and verbal
                                        • +
                                        • Are working on a Bachelors or Masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;
                                        • +
                                        • Have some software development experience (including co-op and internships);
                                        • +
                                        • Have experience with writing software in one of the major languages such as C++, C#, Java, Python;
                                        • +
                                        • Have familiarity with the Unix command line and bash scripting;
                                        • +
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • +
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;
                                        -

                                        -

                                        Nice to have:

                                        +

                                        What's in it for you?

                                          -
                                        • Experience with Hadoop Data Lake, Datameer
                                        • -
                                        • Experience with Tensorflow or PyTorch
                                        • -
                                        • Relevant Cloud certification
                                        • -
                                        • Knowledge of Kafka
                                        • -
                                        • Experience in business ops centers or national office functions around forecasting and capacity planning
                                        • +
                                        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                        • +
                                        • Ability to make a difference and lasting impact from a local-to-global scale.
                                        +

                                        About Borealis AI

                                        +

                                        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                        +

                                        Inclusion and Equal Opportunity Employment

                                        +

                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        +

                                        TAD2022

                                        +

                                        Join our Talent Community
                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                        JOB SUMMARY
                                        City: Virtual
                                        Address: Virtual
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: [[filter7]]
                                        Career Level: Student Job
                                        Application Deadline: 02/04/2022
                                        Platform: Technology and Operations
                                        Req ID: 438437
                                        Ad Code(s):

                                        ",,https://jobs.rbc.com/ca/en/job/438437/Machine-Learning-Software-Engineer-Summer-2022-Co-op-Opportunities,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2022-02-05T19:44:49.980Z,False,0,50,184,https://talenthub.vectorinstitute.ai/jobs/102956016-machine-learning-software-engineer-summer-2022-co-op-opportunities-at-rbc,,expired,2022-01-06T19:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +a1751709-e91e-4f5e-8da2-c17ce7a3ad2b,105068733,Loblaw Companies Ltd.,Senior Business and Consumer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2022-01-20T17:55:05.222Z,"
                                        +
                                        +
                                        +

                                        Referred applicants should not apply directly to this role.

                                        +

                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                        +

                                        +

                                        +

                                        Location:

                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                        +

                                        +

                                        Inspired by food? Committed to excellent service? So are we.
                                        At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                        We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                        Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                        +

                                        +

                                        Why is this role important?

                                        +

                                        The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you. Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for intelligent, passionate and collaborative team members for our Data & Analytics group.

                                        +

                                        +

                                        This is an exciting time to join our team – we are delving into our vast data wealth to become a more competitive retailer that helps Canadians Live Life Well. If you are looking to join a company that offers opportunity, excellent leadership, ongoing learning and training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                        +

                                        +

                                        We are looking for a Senior Business and Consumer Insights Analyst that will take the lead on generating business reports, creating presentations, and communicating the results of campaign measurement output to Loblaw Media partners and clients. The role therefore requires business acumen and is front-facing, but will require technical skills in running code in GCP (BigQuery and Dataproc) and running and updating dashboards in Google DataStudio.

                                        +

                                        +

                                        The candidate will be a self-starter who has passion for providing various ways to improve business effectiveness. This is a hands-on role and requires applying techniques to solve real problems and see them into production to bring business value.

                                        +

                                        +

                                        What You'll Bring:

                                        +

                                        • Bachelor or Master degree in an analytical/business field of study (e.g. Computer Science, Mathematics, Statistics, Economics, Engineering, Business, Business Analytics, Marketing Analytics)

                                        +

                                        • 3+ years of related work experience

                                        +

                                        • Experience with SQL, Python

                                        +

                                        • Experience working in cloud environments, GCP preferred

                                        +

                                        • Essentials for this role: Critical thinking, problem-solving, storytelling skills, the ability to take initiative, multi-task and work in a fast-paced environment, and strong detail orientation

                                        +

                                        • A team player and self-starter

                                        +

                                        +

                                        What You Can Expect:

                                        +

                                        We are a team of diverse and ambitious data scientists and analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                        +

                                        +

                                        Other perks of joining Loblaw:

                                        +

                                        • Competitive compensation and benefits package

                                        +

                                        • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

                                        +

                                        • A flexible work environment which values balance

                                        +

                                        • Colleague Discount Program

                                        +

                                        • Tuition reimbursement program

                                        +

                                        • Employee Share Ownership plan

                                        +

                                        • Pension Plan

                                        +

                                        +

                                        If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                        +

                                        +

                                        We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                        +

                                        +

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        +

                                        +

                                        Employment Type:

                                        +

                                        Full time

                                        +

                                        +

                                        Type of Role:

                                        +

                                        +

                                        Regular

                                        +

                                        +

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                        +

                                        +

                                        Please Note:

                                        +

                                        +

                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process

                                        +

                                        +

                                        +

                                        At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                        +

                                        +

                                        +

                                        +

                                        Employment Type:

                                        Full time

                                        +

                                        +

                                        Type of Role:

                                        Regular

                                        Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                        +

                                        +

                                        Please Note:  
                                        Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                        +
                                        +
                                        ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business-and-Consumer-Insights-Analyst_R2000228528?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-02-07T18:00:08.744Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/105068733-senior-business-and-consumer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business-and-Consumer-Insights-Analyst_R2000228528?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-01-20T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, +8c1c88d7-88d0-4852-bb26-c89b3e8bab17,106545291,FreshBooks,Data Engineer - Support,full,Canada - Remote,2022-02-01T05:02:09.333Z,"

                                        It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                        -

                                        What is in it for you?
                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                        - Leaders who support your development through coaching and managing opportunities
                                        - Ability to make a difference and lasting impact
                                        - Work in a dynamic, collaborative, progressive, and high-performing team
                                        - Opportunities to do challenging work

                                        -

                                        -

                                        -

                                        -

                                        About RBC
                                        Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                        -

                                        -

                                        Get Career Alerts
                                        Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                        -

                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                        -

                                        -

                                        Inclusion and Equal Opportunity Employment
                                        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                        -

                                        +

                                        The Opportunity

                                        +

                                        FreshBooks is seeking a Data Engineer, Support to join our team. As part of the Data and Analytics Team reporting directly to the Data Engineering Manager, you will help us design, implement, and operate the future of our data engineering support infrastructure and processes, which support data usage across the organization. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                        -

                                        JOB SUMMARY

                                        -

                                        City: Toronto
                                        Address: 88 Queens Quay West
                                        Work Hours/Week: 37.5
                                        Work Environment: Office
                                        Employment Type: Permanent
                                        Career Level: Experienced Hire/Professional
                                        Pay Type: Salary + Variable Bonus
                                        Required Travel (%): 0-25
                                        Exempt/Non-Exempt: N/A
                                        People Manager: No
                                        Application Deadline: 08/06/2021
                                        Req ID: 388599

                                        -

                                        Posting Notes:

                                        -
                                        ",,https://jobs.rbc.com/ca/en/job/388599/Manager-CBO-Data-Analytics-COE,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-26T22:40:04.001Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/73118756-manager-cbo-data-analytics-coe-at-rbc,https://jobs.rbc.com/ca/en/job/388599/Manager-CBO-Data-Analytics-COE,expired,2021-07-19T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -744ab63d-639a-4f67-90af-fe63bf3e60c2,73330126,Unity Health Toronto,System Administrator - General Medicine Inpatient Initiative (GEMINI),temporary,"Toronto, ON, Canada",2021-07-21T16:41:08.622Z,"

                                        GEMINI is Canada’s largest hospital patient data repository for research and currently holds data on >400,000 hospital admissions from 8 Ontario hospitals and is growing to include >30 hospitals by the end of 2021. The GEMINI data platform supports the Ontario General Medicine Quality Improvement Network (GeMQIN), a provincial network led by Ontario Health (OH, formerly Health Quality Ontario) to improve care for general medicine hospital patients. Our vision is a collaborative hospital data and analytics platform to accelerate research and quality improvement for excellent hospital care.

                                        -

                                        We are looking to hire a System Administrator to join the GEMINI team and provide technical guidance and support of a truly unique data platform in the Canadian healthcare landscape. This role involves managing all of GEMINI’s systems including a high performance computing cluster environment, conducting administrative responsibilities, monitor servers for optimal performance, and maintaining a secure environment. They will be required to troubleshoot problems as they arise, provide support in a timely manner, and assist other activities as requested by the Manager including implementing new initiatives.

                                        -

                                        This is a demanding role requiring a high degree of independence to problem solve and troubleshoot in a fast-paced research work environment. Strong interpersonal and communication skills are also important assets in this role to work with a non-technical and technical audience. We are looking for a candidate with excellent technical skills and strong analytical and organization skills. You will be joining a fun and dynamic team that is highly motivated and share a passion for making an impact in the Canadian healthcare domain. This is a one-year contract position.

                                        -

                                        -

                                        Duties:

                                        -

                                        System maintenance and administration responsibilities (60%):

                                        +

                                        Specifically in this position you will:

                                          -
                                        • Perform Linux OS installation, configuration, evaluation, upgrading, patching, monitoring, and troubleshooting
                                        • -
                                        • Manage and monitor all production-related systems and respond quickly and decisively as issues arise to bring about a quick resolution.
                                        • -
                                        • Deploy and configure server services to include LDAP, FTP, SFTP, FTPS, CRON, NFS, DNS and ensure their availability and stability.
                                        • -
                                        • Work with DB teams to optimize Postgresql Database Server(s) performance and related requirements, such as CPU cores, shared memory, disk space extension.
                                        • -
                                        • Leverage Bash, Perl, Python, or other scripting skills as needed to provide systems-level automation for recurring tasks and functions.
                                        • -
                                        • Handle the creation of user accounts on the directory service, and access management for our various systems/software.
                                        • -
                                        • Provide incident response, diagnostic and advanced troubleshooting connectivity, credentials, and access issues and resolve them before they become noticeable.
                                        • -
                                        • Create playbooks and deploy them via tools such as Ansible.
                                        • -
                                        • Occasionally deploy services to LXD/Docker containers
                                        • +
                                        • Work hands-on with our data and analytics technology stack to determine incidents’ root cause, trace and fix bugs, improve data pipelines, and build automation.
                                        • +
                                        • Collaborate with data engineers, data scientists, and data analysts to support SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                        • +
                                        • Help design, implement, and support a robust incident management framework and work closely with data product owners, business stakeholders and executives to provide timely and accurate communications.
                                        • +
                                        • Provide support to data engineers and our larger data & analytics team regarding our methodologies and standards which keep monitoring, observability and dev/ops best practices as a primary focus.
                                        • +
                                        • Create & automate processes wherever possible to handle monitoring, alerts and re-runs.
                                        • +
                                        • Be part of a first response/on-call support program with internal teams and/or external vendors.
                                        • +
                                        • Participate and share your ideas in technical design and architecture discussions.
                                        • +
                                        • Ship your code with our continuous integration process.
                                        • +
                                        • Develop your craft and build your expertise in data engineering.
                                        -

                                        Support, troubleshooting, and leadership responsibilities (30%):

                                        +

                                        +We think you'll be an amazing fit for this position if your application can demonstrate: +

                                          -
                                        • Provide high-level technical guidance to the team, in the design of new systems and solutions to streamline workflows and operations.
                                        • -
                                        • Assist other members of the team with resolving technical issues when needed expertise exceeds their skill set.
                                        • -
                                        • Actively participate in meetings, and provide constant updates and feedback to the team on actions being taken and blockers encountered.
                                        • -
                                        • Maintain active involvement in designated activities of new projects going live
                                        • -
                                        • Provide knowledge transfer and technical training of our systems to partners and stakeholders as needed.
                                        • -
                                        • Provide leadership in problem-solving, incident identification and resolution.
                                        • +
                                        • Enthusiasm for data engineering!
                                        • +
                                        • Experience creating and maintaining data pipelines
                                        • +
                                        • Strong programming skills in SQL and Python
                                        • +
                                        • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                        • +
                                        • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                        • +
                                        • Experience with Airflow (Workflow Management Platform)
                                        • +
                                        • Experience with industry ETL & BI tools (Fivetran, Informatica, Datastage, Looker, Tableau, PowerBI etc.)
                                        • +
                                        • Familiarity with data pipeline monitoring and observability practices
                                        • +
                                        • Experience with Git workflows, continuous integration and automated build pipelines
                                        • +
                                        • Experience working in an Agile environment
                                        -

                                        Business support and technology improvement responsibilities (10%):

                                        +

                                        What you might bring:

                                          -
                                        • Evaluating solutions for business needs and planning the design, acquisition and buildout/deployment of same.
                                        • -
                                        • Identify and develop methods and procedures to enhance system security and auditing.
                                        • -
                                        • Document systems, services and software in our environment, including Standard Operating Procedures and maintain the documentation as changes occur.
                                        • -
                                        • Keep skills and knowledge current and stay informed of new trends in the industry
                                        • +
                                        • A strong practitioner of test-driven (and behaviour driven) development
                                        • +
                                        • Experience with Docker, Kubernetes, Terraform, and other DevOps and infrastructure as code technologies.
                                        • +
                                        • A track record of staying at the forefront of data engineering technology.
                                        • +
                                        • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Kafka, Dataflow, Apache Beam, Spark, etc.)
                                        • +
                                        • Understanding of data warehouse modeling fundamentals (e.g. dimensional modeling, 3NF, star schema) and application relational database concepts (e.g. normalization, referential integrity)
                                        • +
                                        • Subject matter data expertise in the SaaS industry.
                                        • +
                                        • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                        -

                                        Knowledge & Skills:

                                        +

                                        +

                                        Why Join Us

                                        +

                                        We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one.

                                        +

                                        What You’ll Love About Working Here:

                                          -
                                        • Completion of a recognized Bachelor’s degree program in Computer Science required;
                                        • -
                                        • Minimum 3 years’ experience as a Systems Administrator required;
                                        • -
                                        • Deep Linux knowledge including performance tuning, process management, LVM storage provisioning and expansion required;
                                        • -
                                        • Experience provisioning and managing Slurm clusters is ideal;
                                        • -
                                        • Programming experience with Bash shell scripting, Python, and Ansible required;
                                        • -
                                        • Demonstrated knowledge of container solutions like LXD and Docker is ideal;
                                        • -
                                        • Demonstrated experience working with VPN, DNS, FreeIPA in production required;
                                        • -
                                        • Experience with configuring and managing NGINX both as a web server and proxy required;
                                        • -
                                        • Experience with configuring and managing SQUID proxy in production required;
                                        • -
                                        • Experience with managing SonarQube Nexus required;
                                        • -
                                        • Experience with git and administering GitLab required;
                                        • -
                                        • Experience with Openstack;
                                        • -
                                        • Demonstrated knowledge of configuring and managing PostgreSQL high availability, load balancing and replication required;
                                        • -
                                        • Exceptional documentation and presentation skills required;
                                        • -
                                        • Ability to interface with other teams in a collaborative environment required;
                                        • -
                                        • Able to communicate highly technical concepts in non-technical terms required;
                                        • -
                                        • Good organizational skills. Ability to reprioritize on the fly required;
                                        • -
                                        • Able to take high level direction and execute with minimal intervention required;
                                        • -
                                        • Ability to handle situations involving unplanned outages required;
                                        • -
                                        • Ability to function within a 24/7 environment.
                                        • -
                                        ",,https://unityhealth.to/get-involved/work-at-unity-health/employment-opportunities/,amanda.chan@unityhealth.to,https://unityhealth.to/,,,2021-08-20T18:41:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/73330126-system-administrator-general-medicine-inpatient-initiative-gemini-at-unity-health-toronto,,expired,2021-07-21T16:41:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, -9e99da5e-bef0-4849-b6df-219aab93ce00,73347572,Shopify Inc.,Data Development Manager (Americas - Remote),on_site,"Toronto, ON, Canada",2021-07-21T19:47:23.627Z,"

                                        About the role

                                        -

                                        -

                                        Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:

                                        +
                                      • Three-week onboarding that brings you up to speed on our brand, product, and most importantly, our customers. It’s an awesome opportunity to dive in and understand what we’re all about and build your network within the company. Plus, there are prizes!
                                      • +
                                      • Our ever-expanding, global team cares about making accounting incredibly easy for business owners around the world.
                                      • +
                                      • Amazing growth and mentorship opportunities from a team with a laser-focused mission of shipping extraordinary experiences.
                                      • +
                                      • Collaborative remote or hybrid model with a global team
                                      • +
                                      • A work/life balance you can brag to your friends about:
                                        • -
                                        • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.
                                        • -
                                        • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?
                                        • -
                                        • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.
                                        • -
                                        • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.
                                        • +
                                        • Two weeks parental paid leave and paid leave top-up
                                        • +
                                        • Health & dental coverage tailored to your local office
                                        • +
                                        • Generous time off - including vacation, volunteer, and innovation days
                                        • +
                                        • Health and Wellness credits
                                        • +
                                        • Learning and development opportunities that are both in-house and external
                                        • +
                                        • Retirement savings programs matched to your local office
                                        • +
                                        • Stock options for all full-time employees
                                        -

                                        Your role:

                                        -
                                          -
                                        • Providing people and technical leadership within your team to support the mission of the Data Platform Engineering group.
                                        • -
                                        • Working closely with a cross-functional team of product leaders, engineering leaders, and distributed system engineers to influence the organizational vision and help solve hard problems in scaling the data platform.
                                        • -
                                        • Strategic and tactical deliverables for your team.
                                        • -
                                        • Deploying the team towards data platform priorities, achieving measurable impact and outcomes.
                                        • -
                                        • Defining and executing on your team’s deliverables.
                                        • -
                                        • Sourcing and hiring for positions in your team or organization.
                                        • -
                                        • All aspects of performance management, including compensation, performance improvement plans, promotions, and separations.
                                        • +
                                        • And finally, we have fun at work...Want to start a chess team? Awesome. Want to host a homemade-ice-cream-making Zoom night? Whatever your passion is, bring it to FreshBooks, tell others about it, and enjoy what you do every day.
                                        +

                                        +

                                        Remote? Local? Sure!

                                        +

                                        Although the data team at large is mostly based out ot the Toronto (Canada) office, this position can be 100% remote if desired, or a blend of remote and in-office (COVID policies pending) should successful candidates live near any of our amazing offices: Toronto (Canada), Amsterdam (Netherlands), Raleigh (USA), San Luis Potosi (Mexico), Zagreb (Croatia), and Frankfurt (Germany).

                                        +

                                        +

                                        Apply now

                                        +

                                        Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                        +

                                        FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                        +

                                        FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

                                        ",,https://boards.greenhouse.io/freshbooks/jobs/3738461,feed-importer@jobboard.io,,,,2022-02-08T05:07:51.743Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/106545291-data-engineer-support-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/3738461,expired,2022-02-01T05:02:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +6acce68a-d3d3-4a88-b87d-374651b68b5a,69406468,BMO Financial Group,Business Systems Analyst- Market Risk Technology,on_site,"Toronto, ON M8X 1C4, Canada",2021-06-24T22:05:55.044Z,"
                                        +

                                        Address:

                                        100 King Street West

                                        +

                                        +

                                        Job Family Group:

                                        Technology

                                        +

                                        +

                                        Strong understanding Market Risk including

                                        +

                                        - VaR

                                        +

                                        - Stress Testing

                                        +

                                        - FRTB

                                        +

                                        Ability to work independently

                                        +

                                        Work in high pressure environment

                                        +

                                        Good knowledge of SQL

                                        -

                                        Qualifications

                                        -

                                        About You:

                                        -
                                          -
                                        • An experienced manager of teams of high-performing engineers.
                                        • -
                                        • Technical engineering background in one or more areas listed in the next section.
                                        • -
                                        • A proven track record of delivering impactful results.
                                        • -
                                        • Exceptional communication skills and ability to translate technical concepts into easy to understand language for our stakeholders.
                                        • -
                                        • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
                                        • -
                                        -

                                        A Data Development Manager at Shopify would typically have at least 2 years of experience leading high-functioning teams, and expertise in one or more of the following areas:

                                        +

                                        +

                                        +

                                        +

                                        Liaises with stakeholders to understand problems and opportunities and, recommends solutions to enable the achievement of organizational goals. Builds exceptional relationships with business partners and internal stakeholders. Analyzes data and creates documents and plans in service of informing, advising, or updating stakeholders. Ensures the requirements map to a real business need, are approved by all relevant stakeholders, and meet essential quality standards. Participates in reviews or inspections, in collaboration with the project team, to ensure the quality of work products.

                                          -
                                        • Experience with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
                                        • -
                                        • Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)
                                        • -
                                        • Experience with cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                          Experience with security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
                                        • -
                                        • Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
                                        • -
                                        • Experience building full-stack applications (Ruby/Rails, React, TypeScript)
                                        • -
                                        • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
                                        • -
                                        • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)
                                        • +
                                        • Manages complexity across business value, technology, and interaction models.
                                        • +
                                        • Possesses a deep understanding and problem solving ability of various complexities.
                                        • +
                                        • Develops innovative approaches to create solutions to resolve problems and significant issues.
                                        • +
                                        • Recommends and implements solutions based on analysis of issues and implications for the business.
                                        • +
                                        • Identifies emerging issues and trends to inform decision-making.
                                        • +
                                        • Contributes to the development of the seed funding request by ensuring project scope and benefits are clearly articulated and risks are identified.
                                        • +
                                        • Enables groups to successfully accept changes by informing stakeholders of their implications; recommends actions as appropriate.
                                        • +
                                        • Prepares and delivers presentations for senior leaders.
                                        • +
                                        • Acts in a larger project planning capacity.
                                        • +
                                        • Audits the quality of reports submitted by analysts and provides related coaching and support.
                                        • +
                                        • Supports the Request for Information (RFI) or Request for Proposal (RFP) with vendors if required.
                                        • +
                                        • Leads the preparation of end user reference materials and prepares end-user training materials.
                                        • +
                                        • Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs.
                                        • +
                                        • Ensures system specifications meet expectations/requirements, and negotiates solutions.
                                        • +
                                        • Creates documentation to ensure the supportability of analyses.
                                        • +
                                        • Maintains existing requirements to ensure that current-state needs are known.
                                        • +
                                        • Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
                                        • +
                                        • Identifies, analyzes, and interprets trends or patterns in complex data sets.
                                        • +
                                        • Filters and “cleans” data, and reviews computer reports, printouts and performance indicators to locate and correct code problems.
                                        • +
                                        • Remains alert to new techniques for insights, analytics, and data visualization, and devises new ways of applying them.
                                        • +
                                        • Interprets data, analyzes results using statistical techniques and provide ongoing reports.
                                        • +
                                        • Recommends approaches to streamline and integrate technological processes in the organization to improve overall efficiency.
                                        • +
                                        • Facilitates discussions and follows a structured approach to plan, elicit, analyze, document, communicate and manage requirements with stakeholders.
                                        • +
                                        • Provides analytical support and insights.
                                        • +
                                        • Identifies opportunities to strengthen business analysis capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks across BMO.
                                        • +
                                        • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                        • +
                                        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                        • +
                                        • Provides specialized consulting, analytical and technical support.
                                        • +
                                        • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                        • +
                                        • Works independently and regularly handles non-routine situations.
                                        • +
                                        • Broader work or accountabilities may be assigned as needed.

                                          Qualifications:

                                          +
                                        • +
                                        • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                        • +
                                        • +

                                          Strong understanding Market Risk including:

                                          +

                                          - VaR

                                          +

                                          - Stress Testing

                                          +

                                          - FRTB

                                          +

                                          - Good knowledge of SQL

                                          +
                                        • +
                                        • Possesses analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                        • +
                                        • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                        • +
                                        • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                        • +
                                        • Demonstrates writing and documentation skills.
                                        • +
                                        • Understands and can explain to others the core processes involved in their area of support.
                                        • +
                                        • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                        • +
                                        • Verbal & written communication skills - In-depth.
                                        • +
                                        • Collaboration & team skills - In-depth.
                                        • +
                                        • Analytical and problem solving skills - In-depth.
                                        • +
                                        • Influence skills - In-depth.
                                        • +
                                        • Data driven decision making - In-depth.
                                        -

                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                        +

                                        +

                                        +

                                        We’re here to help

                                        -

                                        Shopify is now permanently remote and working towards a future that is digital by design. Learn more

                                        -

                                        How we hire

                                        -

                                        At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.

                                        ",,https://www.shopify.com/careers/data-development-manager-americas-remote-6932cbed,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2021-08-20T19:47:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/73347572-data-development-manager-americas-remote-at-shopify-inc,,expired,2021-07-21T19:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -677b027e-72a3-4039-99f8-c2b51745d9e9,73350442,Shopify Inc.,"Senior Data Scientist (Remote, Americas)",on_site,"Toronto, ON, Canada",2021-07-21T20:05:41.616Z,"

                                        About the role

                                        +

                                        At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                        -

                                        Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                        -

                                        Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                        -

                                        Responsibilities:

                                        +

                                        As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                        +

                                        +

                                        To find out more visit us at https://jobs.bmo.com/ca/en.

                                        +

                                        +

                                        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                        +
                                        ",,https://jobs.bmo.com/ca/en/job/R210010341/Business-Systems-Analyst-Market-Risk-Technology,feed-importer@jobboard.io,,,,2021-07-12T22:38:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/69406468-business-systems-analyst-market-risk-technology-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210010341/Business-Systems-Analyst-Market-Risk-Technology,expired,2021-06-24T22:05:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bbd75327-cc3d-4c03-9b75-ac6d16c23c92,88875093,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2021-10-15T00:37:03.514Z,"

                                        What's the opportunity?

                                        +
                                        +

                                        We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                        +

                                        At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                        +

                                        Your responsibilities include:

                                          -
                                        • Proactively identify and champion projects that solve complex problems across multiple domains
                                        • -
                                        • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                        • -
                                        • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
                                        • -
                                        • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
                                        • -
                                        • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                        • -
                                        • Influence leadership to drive more data-informed decisions
                                        • -
                                        • Define and advance best practices within data science and product teams
                                        • +
                                        • Building machine learning-based software solutions for solving important problems;
                                        • +
                                        • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                        • +
                                        • Collaborating with research and business teams to converge on the best solutions;
                                        • +
                                        • Optimizing algorithms and prototypical solutions for efficient implementation;
                                        • +
                                        • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                        • +
                                        • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                        • +
                                        • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                        -

                                        -

                                        Qualifications

                                        +

                                        You're our ideal candidate if you:

                                          -
                                        • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
                                        • -
                                        • Extensive experience with Python and software engineering fundamentals
                                        • -
                                        • Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
                                        • -
                                        • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
                                        • -
                                        • Curiosity about the problem domain and an analytical approach
                                        • -
                                        • Strong sense of ownership and growth mindset
                                        • +
                                        • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                        • +
                                        • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                        • +
                                        • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                        • +
                                        • Familiarity with the Unix command line and bash scripting;
                                        • +
                                        • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                        • +
                                        • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                        • +
                                        • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                        • +
                                        • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                        -

                                        -
                                          -

                                          Experience with one or more:

                                          +
                                          +

                                          What\'s in it for you?

                                            -
                                          • Deep understanding of advanced SQL techniques
                                          • -
                                          • Expertise with statistical techniques and their applications in business
                                          • -
                                          • Masterful data storytelling and strategic thinking
                                          • -
                                          • Deep understanding of dimensional modelling and scaling ETL pipelines
                                          • -
                                          • Experience launching productionized machine learning models at scale
                                          • -
                                          • Extensive domain experience in e-commerce, marketing or SaaS
                                          • +
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • +
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • +
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • +
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          -

                                          Please apply before July 30th, 5:00 pm EST.

                                          -


                                          Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                          At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                          -

                                          How we hire

                                          -

                                          At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.

                                          ",,https://www.shopify.com/careers/senior-data-scientist-remote-americas-ff247eec,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2021-08-20T20:05:43.197Z,False,0,8,64,https://talenthub.vectorinstitute.ai/jobs/73350442-senior-data-scientist-remote-americas-at-shopify-inc,,expired,2021-07-21T20:05:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, -c6cb8dc3-cedc-44fc-b52d-b38bfa6c3099,73527368,Sun Life Financial,Machine Learning Engineer Internship,temporary,"Toronto, ON, Canada",2021-07-23T13:20:22.140Z,"

                                          We have several vacacines for students to join us at Advanced AI Initiative team for an internship. We have lots of data and fascinating machine learning projects.

                                          -


                                          RESPONSIBILITIES

                                          • Use Machine learning to solve business problems
                                          • Identify cutting edge algorithmic solutions available in AI that might be
                                          applicable to our business problems
                                          • Extract actionable insights from big unstructured datasets which we have
                                          access to, by using advanced machine learning methods
                                          • Create visualizations that helps to transform data into actionable insights for non-experts
                                          • Help to develop working application prototypes
                                          • Present your work/findings to a wide audience from beginner to experts

                                          -

                                          REQUIREMENTS
                                          • Being currently enrolled or recently graduated from a relevant
                                          undergrad / grad program.
                                          • Extensive knowledge of Machine Learning and Deep Learning
                                          tools and concepts
                                          • Experience with Automatic Speech Recognition systems, Natural Language Processing
                                          and Information Extraction tools and techniques
                                          • Hands on experience with Python, particularly with data science related packages and
                                          visualization techniques

                                          Experience with Deep Learning frameworks such as Tensorflow or PyTorch
                                          • Ability to work independently with minmal supervision and perform
                                          well in team projects
                                          • Good knowledge of database concepts and SQL
                                          • Solid production level coding skills

                                          -

                                          NICE TO HAVE
                                          • Experience with C/C++, Java, Scala, R
                                          • Experience working with SQL/Unix command-line
                                          • Published paper in AI conferences such as NeurIPS, ICML, ICLR etc.
                                          • Experience in signal processing and pattern recognition
                                          • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi

                                          -

                                          WHAT IS IN FOR YOU
                                          • A friendly, collaborative, and inclusive culture
                                          • Being part of our Analytics community, where we share best practices and broaden skill set
                                          • Opportunity to learn from experts and work with real world data sets
                                          • Competitive compensation

                                          ",,https://pages.beamery.com/sunlifecareers/form/vectorinterns/sign-up,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-08-22T13:20:00.000Z,True,0,55,363,https://talenthub.vectorinstitute.ai/jobs/73527368-machine-learning-engineer-internship-at-sun-life-financial,,expired,2021-07-23T13:20:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -536f7bf8-17f3-4940-bcd7-0ee3783434bd,73922588,Thomson Reuters,Applied Research Scientist NLP/ML,on_site,"Primary Location: Toronto, ON, CA",2021-07-27T00:34:32.798Z,"
                                          -Job Description

                                          Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                          What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                          As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for consistently delivering projects that advance the state of the art in support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                          More about Thomson Reuters Labs – http://tr.com/ai-jobs

                                          About the role

                                          In this opportunity as an Applied Research Scientist, you will:

                                          • Experiment and Develop: You will execute the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices to conduct reproducible research and well-managed software delivery.

                                          • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                          • Delivery: You will be accountable for timely, well-managed deliverables.

                                          • Innovate: You will be empowered to try new approaches and learn new technologies.

                                          • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                          About you

                                          You are a fit for the role of an Applied Research Scientist if you have:

                                          • Ph.D. in a relevant discipline or Master's plus a comparable level of experience

                                          • At least one year of industry experience building IR/NLP/ML systems

                                          • Solid software engineering skills for prototyping

                                          Preferred qualifications

                                          • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                          • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                          • Proven communication skills and ability to work on deliverables independently

                                          • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                          What's in it for you

                                          At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                          • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                          • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                          • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                          • Perks: Social events & activities, employee discount programs

                                          • Social Impact: Paid time off for volunteering virtually or in your community

                                          -

                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                          -

                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                          -

                                          Accessibility

                                          -

                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                          -

                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                          -

                                          More information about Thomson Reuters can be found on thomsonreuters.com.

                                          -Locations
                                          Toronto-Ontario-Canada;Eagan-Minnesota-United States of America
                                          ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Applied-Research-Scientist---NLP-ML_JREQ145643-1?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-08-06T00:39:18.117Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/73922588-applied-research-scientist-nlp-ml-at-thomson-reuters,https://jobs.thomsonreuters.com/job/13142549/applied-research-scientist-nlp-ml-toronto-ca/,expired,2021-07-27T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -4a4f3a63-55db-4427-b5f4-0e6d6bdf8305,74559579,TD Bank Group,"Manager, Analytics and Insights",on_site,"Toronto, ON",2021-07-29T15:45:29.960Z,"
                                          +

                                          About Borealis AI

                                          +

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          +

                                          Inclusion and Equal Opportunity Employment

                                          +

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",,https://www.borealisai.com/en/careers/employment/5022762002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2021-10-21T20:53:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/88875093-machine-learning-software-engineer-at-borealis-ai,,expired,2021-10-15T00:37:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +b0ac2b43-2c4e-4110-ac4c-e0577e90353f,28984690,Georgian,Senior Software Engineer,on_site,"Toronto, ON, Canada",2020-01-31T20:24:57.644Z,"

                                          Georgian Partners is a thesis-driven growth equity firm that invests in business software companies across all industries. Our mission is to accelerate the adoption of key technology trends by all the software companies we invest in and partner with.

                                          +

                                          We are looking for an experienced software engineer to join our team, develop software products, work with startups, and work with our scientists to apply the latest research in machine learning to products in industries such as healthcare, energy, cybersecurity, and education.

                                          +

                                          What you'll be doing:

                                          +
                                            +
                                          • Working with business stakeholders to collect, clarify and summarize requirements
                                          • +
                                          • Designing, building and optimizing software products to support investment workflow
                                          • +
                                          • Designing, building and optimizing software products in our thesis areas
                                          • +
                                          • Working with applied research scientists to plan, design and implement software components for machine learning projects, such as feature engineering pipelines and machine learning models.
                                          • +
                                          • Developing software prototypes in areas such as AutoML, NLP, explainability of machine learning models, or transfer learning.
                                          • +
                                          • Designing and building infrastructure to improve the efficiency of machine learning research and experimentation.
                                          • +
                                          • Working with machine learning scientists to develop processes, monitoring, and testing automation frameworks to ensure data and machine learning model quality.
                                          • +
                                          • Working with machine learning scientists to set up and run experiments in AWS or other cloud environments
                                          • +
                                          • Working with machine learning scientists, engineers, and architects at our portfolio companies to ensure technology transfer.
                                          • +
                                          • Performing code reviews and testing to ensure software quality is high and requirements are met.
                                          • +
                                          • Documenting and presenting findings and results internally and to our portfolio companies.
                                          • +
                                          • Performing system architecture reviews with portfolio companies.
                                          • +
                                          +

                                          You have:

                                          +
                                            +
                                          • 3+ years of work experience with distributed software and machine learning system design and implementation, ideally in a high growth software development environment.
                                          • +
                                          • BS/MS in Computer Science or a related discipline with proven experience as a software developer or software engineer.
                                          • +
                                          • A deep understanding of data structures and algorithms.
                                          • +
                                          • Strong software development skills in Python, Java or C++. Python experience is highly desired.
                                          • +
                                          • Good working knowledge of RDBMS, Data Warehouse, NoSQL and Object storage technologies.
                                          • +
                                          • Proficiency in software engineering processes, quality control, and continuous integration.
                                          • +
                                          • Hands-on experience with large-scale data-driven systems.
                                          • +
                                          • Hands-on experience with cloud platforms such as AWS, Google Cloud and Azure.
                                          • +
                                          • Experience with common machine learning tool kits such as Numpy, Pandas, Scikit-learn and Matplotlib is highly desired.
                                          • +
                                          • Experience with big data technologies such as Hadoop and Spark is desirable.
                                          • +
                                          +

                                          Join us if you...

                                          +
                                            +
                                          • Love to see the impact of your work
                                          • +
                                          • Love to learn how venture capital works and consider building your own startup in the future
                                          • +
                                          • Love to explore different industry verticals
                                          • +
                                          • Love to work with people with diverse expertise in a flat team hierarchy where your opinion is valued
                                          • +
                                          • Love to learn Machine Learning and Data Science
                                          • +
                                          +

                                          If this sounds like an opportunity you are interested in, we would love to chat. Please apply by telling us why you think you would be a great fit for this role.

                                          +

                                          Georgian Partners is passionate about creating a diverse and inclusive workplace. We promote equality and strive to provide all current and prospective employees with support and opportunities. Reasonable accommodations are available to job applicants on request and throughout the application process. If you require an accommodation, please contact kchristie@georgianpartners.com.

                                          ",,https://gp.applytojob.com/apply/sr4aoMkrI8/Senior-Software-Engineer,aimasters@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2020-03-16T20:25:00.000Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/28984690-senior-software-engineer-at-georgian,,expired,2020-01-31T20:24:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +7d63379b-9aa5-4ec0-99e3-3e6c4ca0b5c9,107472650,TD Bank Group,Business Insights & Analytics (Analyst/Sr. Analyst/Manager),on_site,"Toronto, ON",2022-02-04T20:33:03.894Z,"

                                          Company Overview

                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                          @@ -6110,1491 +6628,1044 @@ c6cb8dc3-cedc-44fc-b52d-b38bfa6c3099,73527368,Sun Life Financial,Machine Learnin

                                          Department Overview

                                          -
                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.
                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.
                                          +
                                          +

                                          COMPANY OVERVIEW

                                          +

                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                          +

                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                          +

                                          Building a World-Class Team at TD

                                          +

                                          We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                          +

                                          DEPARTMENT OVERVIEW

                                          +

                                          Our Leaders are committed to people development, career advancement and value diversity and inclusion.
                                          Are you looking for an exciting opportunity to?

                                          +
                                            +
                                          • Transform the way we operate as a bank?
                                          • +
                                          • Make a big impact on how we operate with data?
                                          • +
                                          • Develop and deepen your knowledge of our core business, products, and operations?
                                          • +
                                          +

                                          Then the Personal Banking Data & Analytics (PBD&A) team is your destination.

                                          +

                                          Job Description

                                          -
                                          About this Role

                                          -

                                          You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                          -

                                          We are looking for someone to lead and cultivate a sizeable team of Business Insights &Analytics professionals/specialists.

                                          -

                                          As the Manager, Analytics & Insights you will:

                                          -

                                          Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                          Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate

                                          +
                                          +

                                          JOB DESCRIPTION
                                          Take an integrated approach, as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup, and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement.

                                            -
                                          • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                          • -
                                          • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                          • -
                                          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                          • -
                                          • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                          • -
                                          • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                          • -
                                          • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                          • -
                                          • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                          • -
                                          • Collaborate with business partners to shape and prioritize ad hoc analysis
                                          • -
                                          • Set operational team direction, working in partnership to execute on common goals
                                          • -
                                          • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                          • -
                                          • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                          • -
                                          • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                          • -
                                          • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                          • -
                                          • Support execution with excellence on key initiatives/programs
                                          • -
                                          • Design effective test and learn for various programs or scenarios
                                          • -
                                          • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                          • -
                                          • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                          • -
                                          • Present insights back to executive leaders / business partners to drive strategic improvement
                                          • -
                                          +
                                        • Coordinate with analysts, data scientists, and product partners to provide leadership and coaching on analytical techniques and data analysis
                                        • +
                                        • Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address our greatest areas of opportunity
                                        • +
                                        • Provide business expertise to place context around analytics discovery
                                        • +
                                        • Educate business partners and build awareness on how to leverage data & analytics to drive decision-making that will propel the business forward
                                        • +
                                        • Develop analytical solutions to support insight generation that aligns to strategy and drives shareholder value
                                        • +
                                        • Lead large complex analytics projects and identify opportunities to further optimize our current product suite through self-initiated insights
                                        • +
                                        • Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels
                                        • +
                                        • Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)
                                        • +
                                        • Challenge analytical thinking within products and guide the team through tactical analytic plans, while leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation
                                        • +
                                        • Lead cross product analytics initiatives and projects (e.g. R&D programs, Customer Lifetime Value)
                                        • +
                                        • Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking
                                        • + +

                                          Requirements

                                          -
                                          What can you bring to TD?

                                          -

                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                          +
                                          +

                                          Qualifications

                                            -
                                          • Undergraduate degree or technical certificate
                                          • -
                                          • Seven (7) or more years relevant experience
                                          • -
                                          +
                                        • Strong ownership mentality, proactive attitude, and ability to get things done
                                        • +
                                        • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
                                        • +
                                        • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                        • +
                                        • Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
                                        • +
                                        • Ability to translate complex problems and solutions into a simple story, tailored to executive audiences
                                        • +
                                        • Excellent interpersonal and communication skills, both written and verbal
                                        • +
                                        • Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry
                                        • +
                                        • Understanding of products and strategies to challenge business cases and analyses
                                        • +
                                        • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                        • +
                                        • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                        • +
                                        • Strong understanding of test and experimental design (Test and Learn)
                                        • +
                                        • Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally
                                        • + +

                                          Technical Experience:

                                          +
                                            +
                                          • Some years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                          • +
                                          • Knowledge of analytical tools such as Python, PySpark, Jupyter Notebooks, data mining tools such as SQL, and Microsoft Applications (SSMS, Azure cloud, Office suite) and Bitbucket are all assets
                                          • +
                                          • Experience with Hadoop (Hive, Pig, Impala) or other distributed file systems an asset
                                          • +
                                          +

                                          Demonstrated knowledge in some of the following areas:

                                          +
                                            +
                                          • Unsupervised Learning techniques
                                          • +
                                          • Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
                                          • +
                                          • Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
                                          • +
                                          • Data visualization and storytelling in Tableau
                                          • +
                                          +

                                          Educational Requirements/Accreditations:

                                          +
                                          • Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience
                                          +
                                          +

                                          +

                                          Additional Information

                                          +
                                          +ADDITIONAL INFORMATION
                                          Note: We are hiring for multiple roles and seniority levels.

                                          +

                                          HOURS

                                          +

                                          Monday-Friday, standard business hours.

                                          +

                                          INCLUSIVENESS

                                          +

                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                          +

                                          #businessIntelligence

                                          +

                                          Hours

                                          37.5

                                          Inclusiveness

                                          -
                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                          +

                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                          -
                                          ",,https://jobs.td.com/en-CA/jobs/13467969/manager-analytics-and-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-08-02T15:50:11.096Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/74559579-manager-analytics-and-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13467969/manager-analytics-and-insights-toronto-ca/,expired,2021-07-29T15:45:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,College Diploma,New Posting, -d5ae2c90-b83d-497a-a659-fd02bc820526,74581162,RBC,Data Engineer (Ampli),on_site,"Toronto, Ontario, Canada",2021-07-29T22:35:01.747Z,"
                                          -

                                          RBC is changing how people think about and interact with the bank on a daily basis. We want to be more than just transactional and episodic, and are finding new and innovative ways to be an essential part of everyone’s daily life.

                                          -

                                          At RBC Ventures we think and act like start-ups – exploring new ideas that are often completely unrelated to traditional banking products.

                                          -

                                          -

                                          What is the opportunity?

                                          -

                                          Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineer to help solve some of our toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning and algorithmic technologies to create a model runtime for real time event processing and interactions.

                                          -

                                          -

                                          What will you do?

                                          -
                                            -
                                          • Support the build out of a data platform
                                          • -
                                          • Work with stakeholders including the Marketing, Product, Data and Development teams with data-related technical initiatives and support their data engineering needs
                                          • -
                                          • Build and manage large-scale batch and real-time data pipelines using the latest technologies
                                          • -
                                          • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                          • -
                                          • Leverage best practices in continuous integration and delivery
                                          • -
                                          • Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality
                                          • -
                                          • Explore new capabilities and technologies to drive innovation
                                          • -
                                          +
                                          ",,https://jobs.td.com/en-CA/jobs/14646661/business-insights-analytics-analyst-sr-analyst-manager-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-08T15:40:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/107472650-business-insights-analytics-analyst-sr-analyst-manager-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14646661/business-insights-analytics-analyst-sr-analyst-manager-toronto-ca/,expired,2022-02-04T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +506a2083-2596-4baa-8191-73218b3659c6,102961327,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2022-01-06T21:42:12.695Z,"

                                          What\'s the opportunity?

                                          +
                                          +

                                          We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                          -

                                          The ideal candidate will have experience with:

                                          +

                                          Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                          +

                                          Your responsibilities include:

                                          +
                                            +
                                          • Design and build data pipelines for Borealis AI projects;
                                          • +
                                          • Build efficient data systems and abstractions for Borealis AI projects;
                                          • +
                                          • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                          • +
                                          +

                                          You\'re our ideal candidate if you:

                                            -
                                          • Dealing with structured and unstructured data sets, data analytics and big data pipelines and infrastructure
                                          • -
                                          • Designing and implementing data infrastructure to house large sets of consumer and transaction data leveraging AWS platform services
                                          • -
                                          • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                          • -
                                          • Implementing and supporting data pipelines for extraction, transformation, and modeling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                          • -
                                          • Preparing analytical datasets to support data modeling and machine learning use cases
                                          • -
                                          • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                          • -
                                          • Communicating effectively to sell stakeholders on proposed actions and solutions
                                          • +
                                          • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                          • +
                                          • Strong enterprise experience in designing and building data lakes;
                                          • +
                                          • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                          • +
                                          • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                          • +
                                          • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                          • +
                                          • Strong experience with the Unix command line and bash scripting;
                                          • +
                                          • Strong communication skills and a collaborative attitude.
                                          -

                                          -

                                          The superlative candidate will have experience with:

                                          +
                                          +

                                          What\'s in it for you?

                                            -
                                          • Experience in the marketing analytics space
                                          • -
                                          • Familiarity with common data science techniques and models
                                          • -
                                          • Experience working with large financial institutions
                                          • -
                                          • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                          • -
                                          • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                          • +
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • +
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • +
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • +
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          +

                                          About Borealis AI

                                          +

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          +

                                          Inclusion and Equal Opportunity Employment

                                          +

                                          Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",,https://www.borealisai.com/en/careers/employment/5626198002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-02-09T16:07:13.834Z,False,0,6,50,https://talenthub.vectorinstitute.ai/jobs/102961327-data-engineer-at-borealis-ai,,expired,2022-01-06T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +df4a8c36-6c89-4f49-9c79-05d1a53ae29f,108832023,TELUS,Senior Technology Architect - Data Engineer,on_site,"Ontario, Canada",2022-02-14T07:20:13.858Z,"
                                          +
                                          +

                                          Description

                                          +

                                          -

                                          RBCVentures

                                          -

                                          -

                                          -

                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 88 Queens Quay West
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Position Level: PL08
                                          Required Travel (%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: Yes
                                          Application Deadline: 08/06/2021
                                          Req ID: 363224

                                          +

                                          Join our team

                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                          We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                          +

                                          Here’s the impact you’ll make and what we’ll accomplish together

                                          +

                                          The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                          +

                                          Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                          +

                                          Here’s how

                                          -
                                          ",,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-08-09T22:40:04.150Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/74581162-data-engineer-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,expired,2021-07-29T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -8ffbb2df-6aad-4d0e-80df-2c5c6f99209e,74581171,RBC,"Sr. Manager, Data & Analytics",on_site,"Toronto, Ontario, Canada",2021-07-29T22:35:02.906Z,"
                                          -

                                          What is the opportunity?

                                          -

                                          The Enterprise Strategic Client Group (ESCG) serves a select group of RBC’s most important strategic private and family ‘instividual’ client relationships. Leveraging a broad range of internally and externally-generated data, the Senior Manager is responsible for delivering timely and relevant analyses and actionable insights to help drive a broadening and deepening of RBC’s relationship with - and the overall client experience for - ESCG clients, their families and Family Offices. This role is a key resource to help continuously shape the overall ESCG data management & analytics strategy.

                                          -

                                          -

                                          What will you do?

                                          -
                                            -
                                          • Delivers timely and relevant analyses and actionable client insights to drive a broadening and deepening of RBC’s relationship with, and the overall client experience for, ESCG clients
                                          • -
                                          • Connects with and leverages existing data & analytics resources and capabilities across RBC, and otherwise, to enhance our connections into the RBC Businesses booking product and solutions with ESCG clients
                                          • -
                                          • Collaborates with other members of the Strategy, Governance & Enablement team and other enterprise partners and business units on the implementation and ongoing deployment of the Salesforce CRM application
                                          • -
                                          • Uses insight and experience to sifts through client data and other applicable data sets to uncover opportunities to enhance strategies as well as product and client initiatives
                                          • -
                                          • Partners with ESCG Strategy, Governance & Enablement team members to align market research, social media, etc. with internal analytics to gather and derive client insights, identifying any associated business implications and opportunities
                                          • -
                                          • Oversees the development and deployment of advanced analytics (modeling, segmentation, product and solution offerings, thought leadership priorities, etc.)
                                          • -
                                          • Leverages data to aid ESCG team members and partners with tracking and the effectiveness of their activities and strategic initiatives around each ESCG client
                                          • -
                                          • Leads the development and ongoing distribution of an ESCG data & analytics dashboard
                                          • -
                                          -

                                          -

                                          What do you need to succeed?

                                          -

                                          Must Have:

                                          -
                                            -
                                          • Experience building and optimizing 'big data' data pipelines, architectures and data sets
                                          • -
                                          • Proven experience with business intelligence, data mining, modelling, analysis, and visualization
                                          • -
                                          • A successful history of manipulating, processing and extracting value from large disconnected datasets
                                          • -
                                          • Financial acumen
                                          • -
                                          • Strong Knowledge of database and reporting applications – e.g. Access, Excel, Tableau
                                          • -
                                          -

                                          -

                                          -

                                          Nice to Have:

                                          -
                                            -
                                          • Enterprise Data Knowledge: Understanding of data architecture across the bank and methodologies used to store and mine data;
                                          • -
                                          • Conceptual knowledge in Machine Learning Algorithms and Text Analytics
                                          • -
                                          • Strong ability to multi-task and prioritize and work independently under tight deadlines in a fast-paced environment;
                                          • -
                                          • Demonstrated use of continuous improvement methodologies and application in respect to processes and reporting
                                          • -
                                          -

                                          -

                                          What’s in it for you?

                                          -

                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                          -
                                            -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities
                                          • -
                                          • Ability to make a difference and lasting impact
                                          • -
                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                          • -
                                          • A world-class training program in financial services
                                          • -
                                          • Flexible work/life balance options
                                          • -
                                          • Opportunities to do challenging work
                                          • -
                                          -

                                          -

                                          -

                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 200 Bay St.
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel(%): 0
                                          Application Deadline: 08/17/2021
                                          Req ID: 393656

                                          -

                                          -

                                          -

                                          -
                                          ",,https://jobs.rbc.com/ca/en/job/393656/Sr-Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-08-19T22:40:05.578Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/74581171-sr-manager-data-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/393656/Sr-Manager-Data-Analytics,expired,2021-07-29T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -e971f886-9ec8-4c09-b5be-9cc8b131f462,74581443,Deloitte,"Google Cloud Architect, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:04.753Z,"
                                          -

                                          Job Type: Permanent
                                          Primary Location: Toronto, Ontario, Canada
                                          All Available Locations: Toronto

                                          +
                                            +
                                          • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                          • +
                                          • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                          • +
                                          • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                          • +
                                          • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                          • +
                                          • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                          • +
                                          • Support the data pipelines feeding into our machine learning algorithms and models
                                          • +
                                          • Assist the extracting, loading, transforming, cleaning, and validating of data
                                          • +

                                          -

                                          Learn from deep subject matter experts through mentoring and on the job coaching.
                                          Partner with clients to solve their most complex problems.
                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                          -
                                          -
                                          -
                                          -

                                          -

                                          Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                          -
                                          -
                                          -
                                          -

                                          What will your typical day look like?

                                          -
                                          -

                                          •You will help our clients to resolve their most complicated problems to build, maintain, improve or re-architect on Google Cloud Platform

                                          -

                                          •Develop conceptual, logical and physical Google Cloud Platform IaaS and PaaS data services and architectures

                                          -

                                          •Help our clients understand advantages and disadvantages of specific GCP Data architecture choices

                                          -

                                          •Provide subject matter expertise and lessons learned for your previous projects to our clients

                                          -

                                          •Develop highly efficient teams of internal resources and guide their development journey on Google Cloud Platform

                                          -

                                          Learn something new everyday

                                          -
                                          -
                                          -

                                          About the team

                                          -

                                          -
                                          +

                                          Qualifications

                                          -

                                          Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          -

                                          As a member of our Data & Analytics Modernization team within our Omnia AI practice, you will provide subject matter expertise and hands on delivery with Big Data and Cloud Data Architecture on Google Cloud Platform. Participate in architectural discussions to build confidence and ensure customer success when building new data solutions and migrating existing data applications on the Google Cloud Platform. Design big data batch processing and real-time processing solutions. Operationalize end-to-end cloud data & analytics solutions. Manage cross functional teams to deliver engagements in a highly collaborative and complex environment. Provide expertise on the full life-cycle of a data & analytics project from business case to post production support.

                                          -
                                          -
                                          -
                                          -
                                          -

                                          Enough about us, let’s talk about you

                                          +

                                          -
                                          -
                                          -

                                          You are some who :

                                          -
                                          • Can showcase at least 2 multi-million data projects (modernization, data lake build, migration, etc.) where you were the lead (or one of) data or solution architects
                                          • Has 2+ years of hands-on experience on Google Cloud Platform (demonstrated via hands on project experience)
                                          • Has 3+ years of relevant technology architecture consulting or industry experience to include experience in data & analytics delivery
                                          • Has at least 2 years hands-on project working experience with GCP technologies; Data Lake, Data Proc, BigQuery, Cloud CDN, Cloud Run, Cloud SDK, Compute Engine etc.
                                          • Has 2+ years of hands-on experience with data lake implementations, core modernization, and data ingestion
                                          • Has 4+ years experience leading teams
                                          • Has 2+ years experience setting up DevOps and data testing automation
                                          • Has GCP Certification (minimum at an associate level)
                                          • -
                                          -
                                          -
                                          -
                                          -

                                          Why Deloitte?

                                          -

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          -
                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          • +

                                            You\'re the missing piece of the puzzle

                                            +

                                            +
                                              +
                                            • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                            • +
                                            • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning Spark applications
                                            • +
                                            • Google Cloud Dataflow and Google BigQuery experience
                                            • +
                                            • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                            • +
                                            • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                            • +
                                            • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                            • +
                                            • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                            • +
                                            • You are familiar SQL-on- technologies (Hive, Impala, Spark SQL, Presto)
                                            -


                                            The next step is yours

                                            -

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                          ",,https://careers.deloitte.ca/job/Toronto-Google-Cloud-Architect%2C-Omnia-AI-ON-M5C-3G7/735950200/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:14:49.910Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/74581443-google-cloud-architect-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Google-Cloud-Architect%2C-Omnia-AI-ON-M5C-3G7/735950200/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,College Diploma,New Posting, -2629a6f9-e051-42ae-94ae-830903dcd957,74581444,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:04.798Z,"
                                          -

                                          Job Type: Permanent
                                          Primary Location: Toronto, Ontario, Canada
                                          All Available Locations: Toronto; Ottawa; Vancouver

                                          -

                                          Partner with clients to solve their most complex business problems
                                          Be encouraged to deepen your technical skills…whatever those may be
                                          Lead projects and teams to make an impact that matters

                                          -
                                          -
                                          -
                                          -

                                          -

                                          Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                          -
                                          -
                                          -
                                          -

                                          What will your typical day look like?

                                          -
                                          -

                                          As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                          -
                                          -
                                          -
                                          -

                                          About the team

                                          +

                                          Nice to have

                                          -
                                          -

                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          -
                                          -
                                          -
                                          -

                                          Enough about us, let’s talk about you

                                          -
                                          -
                                          -

                                          You are someone with:

                                          -
                                          • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                          • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                          • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                          • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                          • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                          • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                          • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                          • -
                                          -
                                          -
                                          -
                                          -

                                          Why Deloitte?

                                          -

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          -
                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          • +
                                              +
                                            • GCP Professional Data Engineering certification
                                            • +
                                            • DevOps practices and tools experience
                                            • +
                                            • Orchestration and job scheduling platforms experience
                                            -


                                            The next step is yours

                                            -

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            -

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:14:26.775Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/74581444-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -cdefa1df-2788-4b44-8d26-dcb80b9ba87e,74581447,Deloitte,"Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:05.219Z,"
                                          -

                                          Job Type: Permanent
                                          Primary Location: Toronto, Ontario, Canada
                                          All Available Locations: Vancouver; Montreal; Ottawa; Toronto

                                          -

                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                          Partner with clients to solve their most complex problems
                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                          -
                                          -
                                          -
                                          -

                                          -

                                          You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                          -
                                          -
                                          -
                                          -

                                          What will your typical day look like?

                                          -
                                          -

                                          As a Data Engineer on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including ETL, data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                          -

                                          Specifically, in this role, you will:

                                          -
                                          • Engineer and architect ETL and BI/DW solutions to enable business analytics and drive insights
                                          • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                          • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                          • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                          • -
                                          -
                                          -
                                          -
                                          -

                                          About the team

                                          +
                                          ",,https://careers.telus.com/job/Scarborough-Senior-Technology-Architect-Data-Engineer-ON/551285417/,feed-importer@jobboard.io,,,,2022-02-21T07:32:08.829Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/108832023-senior-technology-architect-data-engineer-at-telus,,expired,2022-02-14T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +ac4923d1-9720-46ce-813e-11dea516f741,70440211,RBC,Senior Analytics Developer,on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.046Z,"
                                          +

                                          What is the opportunity?

                                          -
                                          -
                                          -

                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          -

                                          Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                          -
                                          -
                                          -
                                          -
                                          -

                                          Enough about us, let’s talk about you

                                          +

                                          As the Associate Director, Senior Analytics Developer, you will lead and refactor our analytics infrastructure to make it more flexible, reliable, and performant. This role requires leadership, cooperation, coordination with quant, trading, and IT groups. You possess strong programming and API design skills, and have experience leading a team.

                                          -
                                          -
                                          -

                                          You are someone with:

                                          -
                                          • 3+ years experience with analysis, design, development, testing and deployment of ETL services in relational data warehouse environments on DB2, Oracle, SQL Server and/or SAP/HANA using technologies such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS and/or Talend for batch and/or real-time data processing
                                          • 3+ years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                          • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                          • Experience with Agile development methods in data-oriented projects
                                          • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired
                                          • -
                                          -

                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                          -

                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                          -
                                          -
                                          -
                                          -

                                          Why Deloitte?

                                          -

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          -
                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          • -
                                          -


                                          The next step is yours

                                          -

                                          Sound like The One Firm. For You?

                                          -

                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                          -

                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:12:00.000Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/74581447-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -02a87c86-77e4-44ee-8f60-5debc192592d,74581454,Deloitte,"Senior Consultant, Healthcare Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:06.336Z,"

                                          Job Type: Permanent
                                          Primary Location: Toronto, Ontario, Canada
                                          All Available Locations: Toronto

                                          -

                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                          Be encouraged to deepen your technical skills…whatever those may be.
                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                          -
                                          -
                                          -

                                          -

                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          -
                                          -
                                          -
                                          -

                                          What will your typical day look like?

                                          +

                                          Experience with low latency or high throughput analytics, and knowledge of financial products across asset classes would be preferred, but isn’t necessary.

                                          -
                                          -
                                          -

                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          -

                                          Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                          -
                                          -
                                          -
                                          -
                                          -

                                          About the team

                                          +

                                          What will you do?

                                          +
                                            +
                                          • Refactor and consolidate analytics-related functionality.
                                          • +
                                          • Design robust API’s around common pieces of functionality, refactoring the code to support these new APIs, retire legacy code, and ensure that structural problems are also addressed during the refactoring.
                                          • +
                                          • Investigate and fix stability problems, determine what the fundamental solution should be, and prioritize accordingly.
                                          • +
                                          • Identify and address gaps in test coverage.
                                          • +
                                          • Interface with vendor systems, expose analytics to Excel and Risk systems.
                                          • +
                                          • Proposes the design and implementation of strategic analytics API’s.
                                          • +
                                          • Analyse and fix performance and stability problems in the internal analytics layers.
                                          • +

                                          -
                                          -
                                          -

                                          As a Consultant / Senior Consultant in our Life Sciences and Healthcare Practice, you will specialize in Health Informatics, contributing to a portfolio of Deloitte’s Omnia AI Data Analytics and Modernization projects. The role includes working collaboratively within a team to support health data modernization efforts in the life sciences and healthcare sector, leading projects in cloud data transformations and data strategies, enabling patient centricity in healthcare organizations as well as claims modernization, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                          -

                                          In this role, you will –
                                          Offer expertise in Artificial Intelligence and Data/Analytics Modernization
                                          • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                          • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                          • Support health data modernization efforts in the public and private sectors, by working hands on with health data in cloud data transformation, data strategies as well as claims modernization
                                          • Lead the end-to-end execution of health system modernization and the design of data architectures, working hand-on to build and implement customized health solutions

                                          -
                                          -
                                          -
                                          -
                                          -

                                          Enough about us, let’s talk about you

                                          +

                                          What do you need to succeed?

                                          -
                                          -
                                          -

                                          You are someone who is :

                                          -
                                          • 4-6 years in industry or consulting experience in a technical role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                          • Overall understanding of health information management in healthcare and life sciences organizations (e.g. clinical, pharmaceutical, public health/government, retail pharmacies)
                                          • Understanding of key data domains, data value chain, and information flow in healthcare and life sciences
                                          • Ability to develop tailored data models and architecture encompassing clinical and non-clinical data, and data modelling and architecture documentation
                                          • Health Interoperability Standards (e.g. HL7, FIHR)
                                          • Experience with software systems such as Salesforce, SAP, Workday and SuccessFactors is desirable
                                          • Must be eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level
                                          • Some Canadian travel will be required; candidates must also be able to enter the USA to work on client assignments
                                          • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                          • Completed Undergraduate degree in a engineering/Analytics or related field; Master’s or PhD degrees and any recognized professional certifications would be an asset
                                          • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                          • +

                                            Must Have:

                                            +
                                              +
                                            • Strong command of C++.
                                            • +
                                            • Expert in algorithms and data structures, object orientation, design patterns, and functional programming paradigms.
                                            • +
                                            • Excellent problem solving and quantitative skills.
                                            • +
                                            • Excellent API design, refactoring, profiling and code optimization skills.
                                            • +
                                            • Experience as a senior developer or team lead.
                                            -
                                          -
                                          -
                                          -

                                          Why Deloitte?

                                          -

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          -
                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          • -
                                          -


                                          The next step is yours

                                          -

                                          Sound like The One Firm. For You?

                                          -

                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                          -

                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                          -

                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                          ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-20T01:55:29.502Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/74581454-senior-consultant-healthcare-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,No Degree,New Posting, -605d2595-995a-41f3-8904-6db313ddc537,74637498,Roche,Business Intelligence Specialist,on_site,"Canada , Ontario , Mississauga",2021-07-30T07:19:03.551Z,"
                                          -

                                          -

                                          Job Title: BI Specialist

                                          -

                                          Department: Global Operations

                                          -

                                          Reports to Title: Head, Global PTS Analytics & Insights

                                          -

                                          Location: Mississauga

                                          -

                                          -

                                          Who we are

                                          -

                                          Behind every presentation of each product sold by Roche is the involvement of Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes medicines at sites around the world and includes more than 10,000 employees worldwide.

                                          -

                                          -

                                          The PT Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organisation, delivering priority projects, advancing the analytical maturity of the organisation, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                          -

                                          -

                                          Summary

                                          -

                                          As a key role in the newly formed PT Global Analytics Hub, the BI Specialist will join and build capabilities in an Advanced Analytics centre of excellence, working with industry leading teams and technologies to build capabilities and create and implement innovative high impact solutions.

                                          -

                                          -

                                          The Position

                                          -

                                          We are looking for a self-starter and leader who will help us drive the business through data. As the Business Intelligence Engineer for the Pharma Technical Quality organization, you will deliver business outcomes by building robust technical and analytical solutions to help us better understand our needs. To be successful, you will need to enjoy working with ambiguity, be creative and have the ability to influence senior leaders of all levels in tech and non-tech.

                                          -

                                          -

                                          In this role, you will empower data driven decision making through implementing principles of data mining, data modeling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.

                                          -

                                          -

                                          In addition to leading analytical tools and reporting, you will provide thought leadership and business analysis support as needed. The successful candidate will demonstrate business acumen, experience in developing reporting and analytical infrastructures and ability to work effectively with cross-functional teams in a fast-paced environment. You should have excellent business and communication skills to collaborate with business owners to draw insights from data to answer questions to key business questions.

                                          -

                                          -

                                          Responsibilities

                                          +

                                          Nice to have:

                                            -
                                          • Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs.
                                          • -
                                          • Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, Quicksight, and Tableau skillsets
                                          • -
                                          • Improve existing data processes and pipelines by implementing automation, data tuning and performance concepts creatively
                                          • -
                                          • Use data mining, data modeling, data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
                                          • -
                                          • Design and drive experiments to form actionable recommendations. Present to business leaders and drive decisions.
                                          • +
                                          • Expertise with designing and supporting financial analytics API’s.
                                          • +
                                          • Experience with databases, distributed cache products, distributed and multithreaded computation, big data processing technologies such as Spark.
                                          • +
                                          • Experience with multiple platforms (Windows, Linux), compilers and tools for C++ development.
                                          • +
                                          • Experience with Python, Java or .Net.
                                          • +
                                          • Experience with build/test/release infrastructure.
                                          -

                                          -

                                          Basic Qualifications

                                          +

                                          +

                                          What’s in it for you?

                                          +

                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            -
                                          • Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
                                          • -
                                          • Relevant experience in business intelligence or business analyst role, including data warehousing, business intelligence, data visualization tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
                                          • -
                                          • Experience gathering business requirements, using business intelligence tools to extract data, formulate metrics, & build reports
                                          • -
                                          • Ability to work cross-functionally, be detail oriented ,build and maintain trust with internal stakeholders in a fast and Agile development environment
                                          • -
                                          • Have basic understanding of programming languages such as Python, Ruby , Java
                                          • +
                                          • Leaders who support your development through coaching and managing opportunities
                                          • +
                                          • Ability to make a difference and lasting impact
                                          • +
                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                          • +
                                          • Flexible work/life balance options
                                          • +
                                          • Opportunities to do challenging work
                                          • +
                                          • Opportunities to take on progressively greater accountabilities
                                          • +
                                          • Access to a variety of job opportunities across businesses and geographies
                                          -

                                          Preferred Qualifications

                                          +

                                          +

                                          About RBC
                                          Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                          +

                                          +

                                          Inclusion and Equal Opportunity Employment
                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          +

                                          +

                                          Join our Talent Community

                                          +

                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          +

                                          +

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                          +

                                          +

                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 155 Wellington St West
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Position Level: CM - Associate Director
                                          Required Travel(%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/30/2021
                                          Req ID: 382607

                                          +

                                          +

                                          +

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/382607/Senior-Analytics-Developer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-26T22:40:04.001Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/70440211-senior-analytics-developer-at-rbc,https://jobs.rbc.com/ca/en/job/382607/Senior-Analytics-Developer,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +0cc43e03-7ed0-46ad-84c5-727c857b5509,70440214,RBC,"Manager, Data Engineer - Wholesale Finance",on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.439Z,"
                                          +

                                          What is the Opportunity?

                                          +

                                          This is an exciting opportunity in Wholesale Finance, Capital Markets and Treasury Services Performance Management team where you will play an instrumental role in leveraging RBC’s big data assets to build data pipelines and analytics models, as well as aligning data strategy across various functional groups. We are currently seeking for an individual with strong data engineering/data science background who is quick to adapt to new technologies and enthusiastic about developing innovative solutions to support the digital transformation in Finance. This role will work with various stakeholders in helping to identify business problems, and prioritize them to unlock business value.

                                          +

                                          +

                                          The Data Strategy team in Wholesale Finance is focused on developing data solutions to support key Performance Management initiatives. Our team consists of highly accomplished professionals with various backgrounds in computer science, data, Business analytics, accounting and finance to deliver innovative solutions that supports data-driven decisions.

                                          +

                                          +

                                          What will you do?

                                            -
                                          • Master’s degree in Statistics, Engineering, or a related quantitative field
                                          • -
                                          • Experience in AWS data services such as AWS Redshift, EMR, Athena, Aurora, Glue, etc
                                          • -
                                          • Practice software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
                                          • -
                                          • Prior experience with forecasting, budgeting, variance analysis, and/or data mining
                                          • -
                                          • 5+ years experience as a business intelligence leader
                                          • +
                                          • Develop a sustainable and scalable data pipeline using the latest technologies
                                          • +
                                          • Apply design thinking and an agile mindset in working with business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                          • +
                                          • Support data management processes - acquiring, transforming and storing massive volume of structured and unstructured data
                                          • +
                                          • Leverage best practices in continuous integration and delivery
                                          • +
                                          • Automate existing processes and optimize for efficiency and data quality
                                          • +
                                          • Spend 70-80% time on data engineer and rest to create proof of concept of products/services
                                          -

                                          -

                                          NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                          -

                                          All candidates need to be eligible to work in Canada. Sponsorship will not be offered for this role.

                                          -

                                          This role has no relocation budget assigned.

                                          -

                                          -

                                          We understand that some individual’s common name or gender may not coincide with the information indicated on their identification. We are committed to providing a confidential and dignified experience for all Gender Diverse applicants at the background check stage.

                                          -

                                          -

                                          Roche is an equal opportunity employer. Roche is committed to equity in access to employment and is a diverse and inclusive workplace. We encourage applications from racialized persons, women, Indigenous peoples, persons with disabilities, 2SLGBTQIA+ and Gender Diverse persons, neurodiverse individuals and others who may contribute to the further diversification of ideas. If you require accommodation during the recruitment process, please contact our People&Culture Representative or Talent Acquisition Partner.

                                          -
                                          ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110255&locale=en&title=Business+Intelligence+Specialist&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2021-09-14T07:00:00.000Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/74637498-business-intelligence-specialist-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110255&locale=en&title=Business+Intelligence+Specialist,expired,2021-07-30T07:19:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, -150483ff-0cb7-45e3-83dd-e785bdb3bfe3,74695683,KPMG,"Data Analyst, Consultant - GRCS Risk Consulting",on_site,"Toronto, Canada",2021-07-30T20:04:07.806Z,"Overview

                                          You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                          Be a part of our expanding and diverse global network of digital teams servicing clients in 147 countries. When you join KPMG you’ll be one of over 219,000 professionals identifying how digital technology can drive transformative growth and enable our clients to gain a competitive advantage to be at the forefront of the digital evolution.

                                          With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                          Video: Digital Opportunities

                                            -
                                          • Work closely with clients in understanding key business issues.
                                          • -
                                          • Gather and analyze requirements to develop impactful recommendations and solutions.
                                          • -
                                          • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                          • -
                                          • Develop a strong experience in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                          • -
                                          • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                          • -
                                          • Work with large volumes of data (structured and unstructured).
                                          • -
                                          • Run queries for descriptive analytics and provide formatted result sets.
                                          • -
                                          • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                          • -
                                          • Bridge the gap between technical platform needs and business issues.
                                          • -
                                          • Perform quantitative analysis of data issues.
                                          • -
                                          • Effectively communicate orally and written with peers within Governance, Risk and Compliance Services (GRCS), KPMG and the client.
                                          • -
                                          • -Learn more about Risk Consulting here -
                                          • -
                                          • -Learn more about our Toronto office here -
                                          • -

                                          What you will do

                                          As a Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                            -
                                          • Work closely with clients and partners on digital opportunities.
                                          • -
                                          • Perform In-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients.
                                          • -
                                          • Work with unique data analytic programs to deliver innovative solutions to our clients.
                                          • -
                                          • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models.
                                          • -
                                          • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations.
                                          • -
                                          • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources.
                                          • -
                                          • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members.
                                          • -
                                          • Develop complex SQL queries to ask questions of large/complex datasets.
                                          • -

                                          What you bring to the role

                                          You have strong work experience and academic record, and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                            -
                                          • Strong experience of 2-3 years, working with data from a variety of databases.
                                          • -
                                          • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks.
                                          • -
                                          • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                          • -
                                          • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries.
                                          • -
                                          • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset.
                                          • -

                                          Keys to your success:

                                            -
                                          • Ability to explain data and analytics concepts to non-technical team members.
                                          • -
                                          • Ability to apply data and analytics concepts to business problems.
                                          • -
                                          • Ability to understand and explain business value of data and analytics concepts
                                          • -
                                          • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                          • -
                                          • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                          • -
                                          • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                          • -
                                          • -Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                          • -


                                          Our Values, The KPMG Way

                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                          For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                          ",,https://careers.kpmg.ca/professionals/jobs/10631?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2021-09-04T17:22:41.763Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/74695683-data-analyst-consultant-grcs-risk-consulting-at-kpmg,https://careers.kpmg.ca/professionals/jobs/10631?lang=en-us,expired,2021-07-30T20:04:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,College Diploma,New Posting, -c108d9cf-5e84-4170-9568-c21517cea246,75103296,EllisDon,Data Analyst,on_site,"Mississauga, ON, CAN Mississauga, ON, CAN",2021-08-03T00:34:10.526Z,"

                                          Job Details

                                          Description

                                          -

                                          Connect with us LinkedIn, Instagram, Facebook, Twitter

                                          -

                                          Thinking about a change?

                                          -

                                          The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                          -

                                          Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                          -

                                          In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                          -

                                          You as a Data Analyst (Insight and Analytics) will:

                                          +

                                          +

                                          What do you need to succeed?

                                          +

                                          Must-have

                                            -
                                          • Assist with the overall definition and development of the self-service BI program, including, but
                                            not limited to: PowerBI configuration and administration, defining best practices and guidelines,
                                            authoring training and tutorial materials, lead training / onboarding engagements, and participate
                                            in a variety of data-related activities which will contribute towards the enablement of self-service
                                            reporting and BI capabilities for non-technical business stakeholders;
                                          • -
                                          • Apply your knowledge of quantitative and programmatic methods; expertise with data analysis
                                            tools and techniques; and critical-thinking skills to derive actionable information from data;
                                          • -
                                          • Distill complex relationships and large amounts of data into intuitive, informative, and descriptive
                                            PowerBI reports, dashboards, and KPI scorecards that will be used to empower business
                                            stakeholders and guide business decisions;
                                          • -
                                          • Partner with business and product stakeholders to assist in the identification and documentation
                                            of business and data usage requirements, processes, needs, and key performance indicators;
                                          • -
                                          • Draw on your extensive experience and expertise to contribute towards the development and
                                            enhancement of best practices in key areas of data modelling, data preparation, data integration,
                                            data analysis, data warehousing, and other domains of data management;
                                          • -
                                          • Drive the continuous improvement and overall state of data governance and quality across the
                                            organization, while leveraging technology to augment metadata, governance, and stewardship
                                            initiatives.
                                          • +
                                          • Demonstrated experience with data extraction, transformation, and loading from a wide variety of data sources using python, SQL and related technologies
                                          • +
                                          • Basic working knowledge and experience implementing ETL pipelines using Dragster, Apache Airflow, Prefect or any other tool
                                          • +
                                          • Basic knowledge to leverage big data technologies (one or more of Hadoop, Hive, Spark) to build data products
                                          • +
                                          • Excellent analytical skills & critical thinking skills to investigate system and business issues, determine root cause, and deliver sustainable solutions
                                          • +
                                          • Commitment to continuous improvement; specifically, ability to identify existing processes and gaps across the current system landscape
                                          -

                                          Is this the right role for you?

                                          +

                                          +

                                          Nice to have

                                            -
                                          • Degree in Mathematics, Engineering, Computer Science, Data Science, or equivalent. Minimum
                                            five (5) years of industry experience in a data management, analysis, and/or data analyst role(s).
                                          • -
                                          • Expert-level proficiency and extensive experience with the following:
                                              -
                                            • Data Analysis: SQL, Python, DAX queries, Excel;
                                            • -
                                            • Microsoft Business Intelligence Stack: PowerBI, SSAS, SSRS, SSIS;
                                            • -
                                            • Data integration, modelling, preparation, warehousing, and analysis;
                                            • -
                                            • Data Governance and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                            • -
                                            -
                                          • -
                                          • Practical working knowledge of the following areas:
                                              -
                                            • Agile Development Methodologies;
                                            • -
                                            • Data Warehouse: Azure SQL DW, Synapse, GCP BigQuery
                                            • -
                                            • Data Architecture;
                                            • -
                                            • Cloud Services: (Microsoft Azure, GCP, AWS);
                                            • -
                                            • Project Management Tools: JIRA, Wrike;
                                            • +
                                            • Experience with Business Intelligence Reporting & visualizations using Tableau or similar products
                                            • +
                                            • Exposure to Capital Markets products and businesses
                                            • +
                                            • Open to learn/explore and innovate using tech stack or framework like Flask, Django, Node, ML/NLP, any front-end framework
                                            • +
                                            • Basic knowledge of git, APIs, Docker, Kubernetes and DevOps
                                            -
                                          • -
                                          • Experience and knowledge of construction-related processes and best-practices an asset;
                                          • -
                                          • Demonstrated experience solving business problems using quantitative analysis;
                                          • +

                                            +

                                            What’s in it for you?

                                            +

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +
                                              +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities
                                            • +
                                            • Ability to make a difference and lasting impact
                                            • +
                                            • Work in an agile, collaborative, progressive, and high-performing team
                                            • +
                                            • The opportunity to interface with senior level executives from many different parts of the organization

                                            -

                                            EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                            -

                                            Go ahead and be yourself. We'll pay you for it!

                                            -

                                            We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                            -

                                            Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                            -

                                            We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                          Qualifications

                                          Skills

                                          Behaviors

                                          :

                                          Motivations

                                          :

                                          Education

                                          Experience

                                          Licenses & Certifications

                                          ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d242210d-0812-436d-a4a3-e220e2d5aba5,feed-importer@jobboard.io,,,,2021-08-20T00:39:30.636Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/75103296-data-analyst-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d242210d-0812-436d-a4a3-e220e2d5aba5,expired,2021-08-03T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, -f5230458-9abd-4dea-a129-bf6e9ef09b1b,75154085,OMERS,Senior Data Engineer,temporary,"Toronto, ON, Canada",2021-08-03T20:47:42.966Z,"

                                          Why join us?

                                          -

                                          -

                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                          -

                                          -

                                          As a key member of the Data & Advanced Analytics team, the role of Senior Data Engineer is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality data assets to support investment decision making.

                                          In this position, you will operationalize and maintain data pipelines deployed to the OMERS investment entities and cultivate a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration through the implementation lifecycle of projects and solutions.

                                          This role is accountable for ensuring that all projects, solutions and platforms align with and support overall enterprise Data & Technology strategy & goals, and adhere to company policies, industry standards and best practices.

                                          -

                                          -

                                          -

                                          As a member of this team, you will be responsible for:

                                          +

                                          +

                                          Join our Talent Community
                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 200 Bay Street
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel (%): 0
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/13/2021
                                          Platform: CFO Group

                                          Req ID: 382680
                                          Ad Code(s):

                                          +

                                          +

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/382680/Manager-Data-Engineer-Wholesale-Finance,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/70440214-manager-data-engineer-wholesale-finance-at-rbc,https://jobs.rbc.com/ca/en/job/382680/Manager-Data-Engineer-Wholesale-Finance,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +51e1331c-2504-4cec-9587-d478a731cd70,70440216,RBC,Senior Data Architect,on_site,"Toronto, Ontario, Canada",2021-07-01T22:34:04.714Z,"
                                          +

                                          The Senior Data Architect is responsible for data architecture and technology capabilities in support of business requirements and realization of Technology Infrastructure (TI) Data Platform and AIOps services. The role maintains strong partnerships with key enterprise stakeholders, including Business Platforms Architecture, Enterprise Architecture (EA) group and TI technology teams to lead development of an end-to-end TI data solutions architecture, technology standards and innovation for high complexity and high risk IT initiatives. The role provides technical leadership, vision, forward thinking, technical conflict resolution and enables technical coordination & support for the delivery of the TI data and analytics solutions, including AIOps data science solutions.

                                          +

                                          +

                                          +

                                          Key Accountabilities

                                          +

                                            -
                                          • Deploying ETL pipelines to achieve a high level of reliability, scalability and security.
                                            Sourcing, transforming and delivering structured and unstructured assets for use in Azure Databricks, SQL Server, and Power BI.
                                          • -
                                          • Operating in an Agile development environment.
                                          • -
                                          • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.
                                          • -
                                          • Participating in solution build, delivery, support and troubleshooting
                                          • -
                                          • Leading change and communicating impacts to business partners and fellow team members
                                          • -
                                          • Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget
                                          • -
                                          • Participating in establishing sound data management practices for the team and the organization
                                          • -
                                          • Identifying, defining and implementing opportunities for enhancing existing processes
                                          • -
                                          • Defining and executing technical test plans and perform unit and integration testing
                                          • +
                                          • Architect the TI data platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems and automating data feeds leveraging next-generation solution technologies and data architecture principles.
                                          • +
                                          • Define and manage data architecture for the AIOps Data Science team and participate in architecture review and approval process.
                                          • +
                                          • Provide architecture support and tough leadership for the several TI Data Engineering teams.
                                          • +
                                          • Work in an agile fashion to onboard data, define a business process for data ingestion and transformation; create and manage metadata for different data sources.
                                          • +
                                          • Work closely with Data Science team to provide environment and data automation capabilities.
                                          • +
                                          • Work closely with technical and business stakeholders on data governance, provisioning, and access control.
                                          -

                                          -

                                          To succeed in this role, you have:

                                            -
                                          • -Experience. 3+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                          • -
                                          • -Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                          • -
                                          • -Relationship Building. A proven track record of building deep technical relationships. Experience in aligning expectations across various partners.
                                          • -
                                          • -Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                          • -
                                          • -Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                          • -
                                          • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required
                                          • -
                                          • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Subject Matter Expertise in two or more of the following Data Platform resources is required:

                                            +
                                          • Defines end to end technical solutions (solution blueprint) that takes into account the architecture and technology strategies, current state environment and constraints. Analyzes the viability of the solution to meet program timeline, budget and quality.
                                          • +
                                          • Develops and presents solution alternatives along with recommendations to executives and senior management.
                                          • +
                                            -
                                          • Azure Databricks using Python
                                          • -
                                          • Azure Functions v2/3 using C# or Python
                                          • -
                                          • Azure Machine Learning
                                          • +
                                          • Presents solution architecture at the technology review forums, like peer-review and/or Architecture Review Board (ARB).
                                          • +
                                          • Develops the architecture artifacts (Solution Architecture, Architecture Decisions) as defined by the PMF/SDLC and reviews with Enterprise Architecture, Lead Architects, Business Architects, Infrastructure SMEs and key program stakeholders.
                                          - -
                                        • Experience with on-premise SQL Server Data Tools
                                        • -
                                        • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies
                                        • -
                                        • Bachelor’s Degree in an appropriate field of study or equivalent work experience
                                        • -
                                        • Microsoft certifications are preferred
                                        • +

                                          +

                                          +

                                          Knowledge and Experience

                                          +

                                          +
                                            +
                                          • Bachelor’s degree in computer science or computer engineering or other BS/BA degree with a concentration in computer science or information systems
                                          • +
                                          • 10+ years of IT experience – minimum 8 years of experience with solution architecture and design on large, complex data and analytics application and projects.
                                          • +
                                          • Proven experience in leading data architecture of a large program from initiation to implementation.
                                          • +
                                          • Working knowledge of financial applications as well as host based systems.
                                          • +
                                          • Experience and demonstrated understanding of how various regulations in different jurisdictions (North America vs. EMEA vs. APAC) can impact architectures and solutions.
                                          • +
                                          • Experience in developing systems architecture and solutions in a geographically dispersed team environment.
                                          • +
                                          • Experience in all aspects of architecture including application, data, security and infrastructure.
                                          • +
                                          • Advanced ability to apply industry/technical knowledge to provide solutions that increase business results and/or minimize risk regarding the integration of applications across multiple product systems and delivery channels.
                                          • +
                                          • Advanced ability to quickly evaluate options, make decisions and execute within an intense high-tech environment.
                                          • +
                                          • Strong leadership skills that can effectively manage large cross functional technical teams and ability to define, influence and impact the technical direction.
                                          • +
                                          • Expert documentation, written and verbal communication skills.
                                          -

                                          -

                                          -

                                          -

                                          -

                                          Our story:

                                          -

                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                          -

                                          -

                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                          ",,https://omers.wd3.myworkdayjobs.com/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer_JR-1051,aitalent@vectorinstitute.ai,https://www.omers.com/careers,,,2021-09-02T20:47:55.925Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/75154085-senior-data-engineer-at-omers,,expired,2021-08-03T20:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -994fb6c2-dfaa-42c2-9a77-4ad346131c79,75587173,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-08-05T00:34:13.829Z,"
                                          -
                                          About Us
                                          -
                                          Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                          -

                                          -
                                          Ideal Candidate
                                          -
                                          Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                          -
                                          -

                                          What You’ll Be Doing:

                                          -
                                              -
                                            • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                            • -
                                            • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                            • -
                                            • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                            • -
                                            • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                            • -
                                          -
                                          -

                                          What You Bring:

                                          -
                                              -
                                            • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                            • -
                                            • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                            • -
                                            • Experience in building, testing, training, and deploying production-ready ML workflows.
                                            • -
                                            • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                            • -
                                            • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                            • -
                                            • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                            • -
                                          -
                                          -

                                          What we offer:

                                          -
                                              -
                                            • Leading role in developing the future of drug development to cure genetically defined diseases.
                                            • -
                                            • A highly competitive salary and meaningful equity compensation.
                                            • -
                                            • Exceptional opportunities for learning and growth.
                                            • -
                                            • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                            • -
                                          -
                                          -
                                          -Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                          -

                                          -
                                          Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                          -
                                          ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-09-04T17:10:10.275Z,False,0,4,35,https://talenthub.vectorinstitute.ai/jobs/75587173-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-08-05T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -79eccd5d-c200-4254-93cc-b7a59363a6d8,76883329,EY,Data Analytics Staff,on_site,Toronto,2021-08-13T03:29:12.049Z,"

                                          Data Analytics Staff

                                          Location: Toronto
                                          Other locations: Primary Location Only
                                          Date: Sep 9, 2021

                                          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                          -

                                          -

                                          The Opportunity

                                          As a data analytics staff, you will join tenthree|labs to work with our audit teams as they leverage data analytics to improve audit efficiency and quality. This is a unique role for you to get heavily involved in both the audit and data analytics process and make an immediate impact working closely with audit teams to help establish and build strong client relationships.

                                          In the lab, you will be joined by a team of multidisciplinary professionals in versatile roles, which includes data analytics, programming, robotic process automation, data visualization, etc. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.

                                          Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                          -

                                          -

                                          Responsibilities, Qualifications, Certifications

                                          -

                                          -

                                          Your key responsibilities

                                          -
                                          • Work within tenthree|labs to export, transform, validate and output large and complex data sets for use in EY’s data analytics tools
                                          • Work and build strong relationships with EY audit teams while co-developing a robust and repeatable data analytics delivery process
                                          • Proactively monitor, manage, and execute projects with engagement teams
                                          • Collaborate with the data analytics and engagement teams to design and implement improvements to the data delivery process
                                          • -
                                          -


                                          To qualify for this role, candidates must have a combination of

                                          -
                                          • An undergraduate degree in business or accounting with a minor in computer science, computer science, computer engineering, data analysis, financial mathematics or another related field
                                          • A basic understanding of a company’s financial reporting process and financial terms
                                          • Strong interest in data analytics, data transformation, robotics process automation, and finance or accounting
                                          • Strong project management and organizational skills with an ability to multitask
                                          • Excellent communication skills with an ability to explain technical terms to a non-technical audience
                                          • A critical and logical thinker who is able to work both independently and in a team environment
                                          • Process driven individual with a strong attention to detail
                                          • -
                                          -


                                          Make your mark. Apply today.

                                          Who we are

                                          EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

                                          EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                          -

                                          -

                                          EY | Building a better working world

                                          -


                                          EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                          -


                                          Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                          -


                                          Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                          ",,https://careers.ey.com/ey/job/Toronto-Data-Analytics-Staff-ON-M5H-0B3/703365501/,feed-importer@jobboard.io,,,,2021-09-19T18:27:14.783Z,False,0,6,31,https://talenthub.vectorinstitute.ai/jobs/76883329-data-analytics-staff-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Analytics-Staff-ON-M5H-0B3/703365501/,expired,2021-08-13T03:29:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -16198a8f-019c-4c06-a238-ff04bbe85e62,78022092,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Ontario, Canada",2021-08-18T07:06:04.244Z,"
                                          -

                                          A Leader in Automating Intelligent Industrial Operations

                                          -

                                          At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                          -

                                          Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. CanvassAnalytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                          -

                                          We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                          -

                                          Things you should know about our product & teams

                                          -

                                          · We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems

                                          -

                                          · We use Keras, SciKit-Learn,XGBoost, SHAP and regularly research and add new libraries to our stack

                                          -

                                          · Our pipelines and micro services are developed predominantly with Python

                                          -

                                          · We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines

                                          -

                                          · We use CircleCI to continuously test, integrate and deploy code changes, including ML

                                          -

                                          What we’re looking for:

                                          -

                                          We’re looking for candidates with:

                                          -

                                          · Experience applying machine learning and deep learning algorithms to time-series problems

                                          -

                                          · Strong knowledge of probability and statistics, plus a passion for working with data

                                          -

                                          · The ability to implement feature engineering and data transformations at scale

                                          -

                                          · Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries

                                          -

                                          · An understanding of micro service architecture and containerization

                                          -

                                          · A proven track record of delivering well-designed and tested software

                                          -

                                          ​Who you are:

                                          -

                                          In general, we’re looking for engineers that exemplify these qualities:

                                          -

                                          · Activation & Engagement Our engineers are critical to the progress of our application and our business. We expect our engineers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.

                                          -

                                          · Teamwork & Collaboration Our teams are small and extremely collaborative. You will work very closely with DevOps, ProductDevelopment and Customer Success to meaningfully impact the business every week.

                                          -

                                          · Excellence & Craft Cloud infrastructure is more than just keeping the lights on 24/7. We need to build secure, scalable systems that are also easy to understand and easy to extend so that they can evolve with our business. We want our engineers to take pride in what they build.

                                          -

                                          · Communication & Leadership An engineer can have a large impact by helping to grow the abilities and understanding of their teammates.We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.

                                          -

                                          Your Benefits

                                          -

                                          Some of the benefits you can expect as part of our team include:

                                          -

                                          · Awesome team and culture (every day)

                                          -

                                          · Generous time off, including vacation and personal days to help rejuvenate

                                          -

                                          · Extended health benefits, including drug coverage, dental coverage, and Health Spending Account

                                          -

                                          · Flexible office policy, with options to work remotely

                                          -

                                          · Attend Conferences to extend your knowledge and skills

                                          -

                                          · Company-provided MacBooks and standing desks

                                          -

                                          · Top technology and tools to excel at your role

                                          -

                                          · Free team lunches

                                          -

                                          Why Join Canvass?

                                          -

                                          Canvass Analytics is using AI to automate operations for theIndustrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange asa Top 20 Most Innovative Canadian Company. Canvass is backed by Google’sGradient Ventures.

                                          -

                                          What\'s it like working at Canvass?

                                          -

                                          This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                          -

                                          Apply Now

                                          -

                                          Think this job is meant for you but worried you don’t have it all?If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                          -

                                          You can also follow us on Twitter or LinkedIn to learn more about us.

                                          -

                                          Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                          -
                                          ",,https://www.canvass.io/careers/machine-learning-engineer,feed-importer@jobboard.io,,,,2021-09-19T18:32:00.000Z,False,0,13,44,https://talenthub.vectorinstitute.ai/jobs/78022092-machine-learning-engineer-at-canvass-analytics-inc,,expired,2021-08-18T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,Re-Posting an Expired Job, -848b2f20-b9d9-41d1-9cc6-a2c33387f448,78059401,Vector Institute,"Program Coordinator, Talent Initiatives (Contract)",on_site,"Toronto, ON, Canada",2021-08-18T13:41:47.326Z,"

                                          POSITION OVERVIEW

                                          -

                                          -

                                          The Vector Institute is seeking a Program Coordinator, Talent Initiatives to join our growing team in Toronto. Reporting to the Director, Academic Partnerships, the Program Coordinator, Talent Initiatives is a key contributor to the team’s targeted initiatives to develop future generations of top AI talent. In this dynamic role, you will perform administrative and business functions to support the Academic Partnerships team members and programs.

                                          -

                                          -

                                          EMPLOYMENT TYPE

                                          -

                                          -

                                          Contract (12 months)

                                          -

                                          -

                                          KEY RESPONSIBILITIES

                                          -

                                          +

                                          +

                                          Technical Competencies

                                          +

                                          Must-have

                                            -
                                          • Administer the daily operations behind the Vector Digital Talent Hub, including approving candidate profiles, posting curated roles, removing expired roles, etc.
                                          • -
                                          • Support the maintenance, cleaning, and analysis of data relating to the Talent Hub, alumni employment outcomes, recruitment contact data and other AI-talent related data.
                                          • -
                                          • Assist with outgoing talent-related communications to affiliated employers, including executing MailMerge campaigns, creating relevant slide presentations and managing correspondence to talent-related inbox.
                                          • -
                                          • Track alumni outcome data to measure workforce attachment to Ontario.
                                          • -
                                          • Assist with the creation of resume books showcasing Vector Talent.
                                          • -
                                          • Assist in the coordination of recruitment-oriented internal and external-facing events, with sponsors and other stakeholder organizations.
                                          • -
                                          • Other duties as assigned.
                                          • +
                                          • Minimum 10+ years in enterprise scale data architecture and data engineering projects with preferably 3+ years in cloud native data solutions.
                                          • +
                                          • Experience working with several relational data solution such as SQL Server, MySQL, MariaDB, PostgreSQL.
                                          • +
                                          • Experience working/supporting Data Science and/or Analytics teams.
                                          • +
                                          • Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                          • +
                                          • Experience with enterprise level security solutions for identity and access management.
                                          • +
                                          • Experience with analysis techniques and measurement tools to continuously build valuable insights and business recommendations.
                                          • +
                                          • Effective programming / query skills and knowledge of common data manipulation, visualization and analytical tools (Tableau, Graphana, Kibana or similar.)
                                          • +
                                          • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined.
                                          • +
                                          • Analytical, insights driven with the ability to help the organization to leverage data driven decisions.
                                          • +
                                          • Strategic with strong change management, continuous improvement and transformation skills.
                                          -

                                          -

                                          PROFILE OF IDEAL CANDIDATE

                                          +

                                          Nice-to-have

                                            -
                                          • You are passionate about growing Canada’s global leadership in AI research.
                                          • -
                                          • You are highly organized, with strong time management and multi-tasking skills and are motivated to work in a fast-paced environment with different stakeholders, including professional staff, students and alumni, as well as academics.
                                          • -
                                          • You are action oriented and have a demonstrated ability to take direction and turn it into actionable results.
                                          • -
                                          • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                          • -
                                          • You possess a positive attitude, integrity, a sense of humour, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                          • -
                                          • You have excellent verbal and written English communication skills.
                                          • -
                                          • You possess a high level of proficiency with GSuite or the Microsoft Suite of applications, Excel or Gsheets in particular (with an emphasis on data manipulation and visualization skills).
                                          • -
                                          • Having proficiency with the following applications is a plus: relational databases (e.g., MS Access, SQL) and data visualization software (e.g., Google Data Studio, Power BI).
                                          • -
                                          • You have a keen eye for detail, design and data presentation (e.g., charts and graphs).
                                          • -
                                          • You understand how to turn data into insight and can produce basic statistics.
                                          • +
                                          • Experience working with infrastructure operations management data, i.e. monitoring, logs, alerts, and incident data.
                                          • +
                                          • Experience with graph databases like neo4j and GraphX.
                                          • +
                                          • Experience working with cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lamba, RedShift, Azure DW.
                                          • +
                                          • Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure.
                                          • +
                                          • Exposure to building and deploying predictive and prescriptive analytics models using any of the following: Python SciKit, R and Pytorch.
                                          • +
                                          • Experience with ML Ops tools such as Dataiku or MLFlow.
                                          • +
                                          • Experience with next generation solution delivery on key technologies such as Python, Kafka, Spark, Apigee, Jenkins; container solutions including Docker/Kubernets; and on-prem cloud technologies such as Openshift or Pivotal.
                                          • +
                                          +

                                          +

                                          Attributes

                                          +

                                          +
                                            +
                                          • Exceptional leadership.
                                          • +
                                          • Critical thinker, analytical.
                                          • +
                                          • Can deal with ambiguity and requests for change.
                                          • +
                                          • Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure.
                                          • +
                                          • Strong time management skills.
                                          • +
                                          • Business acumen.
                                          • +
                                          • Comfortable in high pressure, deadline-oriented environment.
                                          • +
                                          • Ability to adapt quickly.
                                          • +
                                          • Team player, cooperative with strong interpersonal skills.
                                          +

                                          +

                                          Travel Requirements

                                          +

                                          Some travel will be required for this role. RBC will provide adequate notification of any travel needs to allow for timely arrangements.

                                          +

                                          +

                                          +

                                          +

                                          Learn more about RBC Tech Jobs



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                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 330 FRONT STREET WEST - 10th floor
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel(%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/14/2021
                                          Platform: Technology and Operations

                                          Req ID: 382920
                                          Ad Code(s):

                                          +

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-05T22:39:08.057Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/70440216-senior-data-architect-at-rbc,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,expired,2021-07-01T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +708ec33f-4d16-4a5b-bea0-a9da943c63d9,71505242,Accenture,Data Scientist,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-07-07T22:09:10.428Z,"

                                          Job Description

                                          Data Scientist
                                          Location: Montreal, Ottawa & Toronto

                                          -

                                          Please address applications (cover letter and resume) to Tolu Onajin, Human Resources Business Partner, using the link provided. Review of applications will begin August 27, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                          +

                                          We Are:
                                          The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

                                          -

                                          Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                          +

                                          You Are:
                                          An expert at solving real-world challenges with data, analytics, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. And you’re all about helping clients scale data into value.

                                          -

                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                          +

                                          What You’ll Do:
                                          • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients
                                          • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                          • Stay abreast of AI/ML technologies, academic researches & hands-on techniques
                                          • Participate in development of innovative solutions for clients across functions & industries

                                          +
                                          Read more of the job description
                                          +


                                          +

                                          Qualifications

                                          +

                                          What We’re Looking For:
                                          • At least 5 years embracing challenges with data science lifecycle in enterprise setting
                                          • At least 3 years developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning
                                          • At least 3 years working with data science tools: e.g. Python, R, Spark, SQL, Plotly, Flask & Git
                                          • At least 3 years designing & operating tools & services in cloud environments: e.g. GCP, Azure, AWS & Databricks
                                          • At least 2 years orchestrating and maintaining AI/ML models in a production environment using Data & ML Ops tools: e.g. Docker, Kubernetes, MLFlow, Jenkins & CircleCI
                                          • At least 5 years storytelling with data and communicating findings to a non-technical audience

                                          -

                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=146,aitalent@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-09-17T13:41:49.541Z,True,0,8,87,https://talenthub.vectorinstitute.ai/jobs/78059401-program-coordinator-talent-initiatives-contract-at-vector-institute,,expired,2021-08-18T13:41:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Entry Level,No Degree,New Posting, -36435fc9-a11f-415d-8fba-590c064c599e,78536945,Deloitte,"Consultant/Senior Consultant, AI Strategy, Omnia AI - New Grad 2022 - National",on_site,"Toronto, ON, Canada",2021-08-20T19:32:06.947Z,"

                                          Date Posted: Aug 5, 2021

                                          -

                                          Reference Code: 78922-en_US

                                          -

                                          Our Purpose

                                          -

                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                          -

                                          By living our Purpose, we will make an impact that matters.

                                          -

                                          Lead the way across a diverse breadth of clients as they wrestle with implications of how Artificial Intelligence is changing the landscape of their industries.

                                          -

                                          What will your typical day look like?

                                          -

                                          You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                          -

                                          About the team

                                          -

                                          Omnia AI’s Strategy team is multi-disciplinary with over 75 people across offices in Vancouver, Calgary, Montreal, and Toronto. The team tackles a range of issues around data governance, privacy, ethics, and the design, enablement and operationalization of AI and Advanced Analytics applications – as well as domain specific applications in supply chain management, customer & marketing, government, financial services, and healthcare. Aside from core skillsets in strategy, design thinking, and digital transformation – the AI Strategy team also comprises of analytics professionals who apply their skills at a strategic level.

                                          -

                                          Enough about us, let’s talk about you

                                          -

                                          In this role, the expected qualifications are:

                                          -
                                            -
                                          • Graduating by September 2022 with an Undergraduate or Master’s degree in Business, Management or other relevant specialized degree
                                          • -
                                          • Have relevant prior work experience in Financial Services, Government/Public Sector, Healthcare, Natural Resources, and/or Customer/Marketing
                                          • -
                                          • Understand concepts related to Data Governance, Information Architecture, Metadata and/or Taxonomy
                                          • -
                                          • Understand applications of Artificial Intelligence or Advanced Analytics at an enterprise scale
                                          • -
                                          • Prior experience in consulting and/or graduate level education is preferred for consultant or senior consultant positions
                                          • -
                                          -

                                          Our shared values

                                          -

                                          While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                          -

                                          They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                          -

                                          Every day, we live our Purpose through the following five shared values:

                                          -
                                          • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                          -
                                          • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                          -
                                          • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                          -
                                          • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                          -
                                          • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                          -

                                          The next step is yours

                                          -

                                          Sound like The One Firm. For You? Apply by September 19, 2021 @ 11:59pm ET

                                          -

                                          To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document

                                          -

                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                          -

                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                          -

                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                          -

                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                          ",,https://careers.deloitte.ca/job/Toronto-ConsultantSenior-Consultant%2C-AI-Strategy%2C-Omnia-AI-New-Grad-2022-National-ON-M5C-3G7/774842700/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2021-09-19T19:32:12.874Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/78536945-consultant-senior-consultant-ai-strategy-omnia-ai-new-grad-2022-national-at-deloitte,,expired,2021-08-20T19:32:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -5961d5c8-b10d-471e-b2aa-9c85acb6b2b0,78658361,TD Bank Group,"Senior Advisor, Business Insights and Analytics",on_site,"Toronto, ON",2021-08-21T15:45:33.096Z,"
                                          -

                                          Company Overview

                                          -
                                          -

                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                          -

                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                          -
                                          -

                                          -

                                          Department Overview

                                          -
                                          -

                                          It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                          -

                                          Reporting to the AVP of Enterprise Data and Analytics – Strategy and Planning, the Senior Advisor, Business Insights will be a key member of a high performing team of Data & Analytics professionals working with the lines of business (LOB) to develop and implement best-in-class analytical solutions and help make analytics a competitive advantage for TD.

                                          -

                                          The individual may own or lead analytical projects and provide strategic and delivery level advisory to guide various lines of business across the enterprise and will work in close consultation with LOB executives and data and analytics teams across the enterprise. We are looking for a self-motivated individual who want to work in a fast paced and high impact business team.

                                          -
                                          -

                                          -

                                          Job Description

                                          -
                                          -

                                          About this Role

                                          -

                                          With your wealth of experience with data and insights, you’ll act as a top advisor to your business partners and contacts across TD. Your goal? Work positively and professionally with your partners to inspire world-class, comprehensive analytical support. As a subject matter expert on the subject, TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value. Finally, you own your space and are at the top of your game when it comes to relationship building, which will be key in your partnerships across the organization.

                                          -

                                          We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                          -

                                          As a Senior Advisor, Business Insights

                                          -
                                            -
                                          • Lead projects and initiatives to enable TD’s enterprise wide data and analytics transformation
                                          • -
                                          • Bring a consulting and horizontal skillset to lead and support multiple types of engagements encompassing people, process, data, technology aligned to key business imperatives
                                          • -
                                          • Manage relationships with Line of business partners and other key internal and external partners (LOB Analytics, EDGO, Data stewards, Platform owners, etc.)
                                          • -
                                          • Identify and articulate key LOB analytic needs and contribute to accelerating delivery
                                          • -
                                          • Own or contribute in the development of analytics related assets including analytics methodologies, playbooks and training programs
                                          • -
                                          • Provide leadership and coach the broader ED&A Strategy and Planning team to advance the team’s capabilities
                                          • -
                                          • Help make data and analytics a competitive advantage for TD – Enhance data and analytics capabilities across the Bank
                                          • -
                                          -
                                          • Play a lead role to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                          -
                                          -

                                          -

                                          Requirements

                                          -
                                          -What can you bring to TD?

                                          -

                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                          -
                                            -
                                          • Undergraduate degree or technical certificate
                                          • -
                                          • Ten (10) or more years relevant experience
                                          • -
                                          • Proven analytical and data driven leader with track record of identifying business opportunities and delivering solutions that encompass people, process, data, and technology
                                          • -
                                          • Experience developing and implementing Enterprise capabilities with business and product knowledge
                                          • -
                                          • Working with ambiguity to breakdown and solve business problems by delivering a strategy, methodology, solution/approach, and building consensus with stakeholders across technology and business
                                          • -
                                          • Demonstrated experience in promoting and increasing analytics adoption within an organization
                                          • -
                                          • Experience in consulting and data driven initiatives to lead organizational change and bringing a dynamic mindset
                                          • -
                                          • Ability to perform and use analytics to develop detailed business cases and explain business value of projects
                                          • -
                                          • Passion for analytics and a customer-driven mindset
                                          • -
                                          • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                                          • -
                                          • Excellent interpersonal and communication skills, both written and verbal
                                          • -
                                          • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
                                          • -
                                          • In-depth industry knowledge, including current big data trends and challenges globally
                                          • -
                                          • Advanced university degree in Analytics, Statistics, Mathematics, Engineering, Economics, Business Strategy or other analytically based discipline, preferably at a Masters degree or above
                                          • -
                                          -
                                          -

                                          -

                                          Additional Information

                                          -
                                          -
                                          • 7+ years of relevant experience in data analytics and/or consulting, ideally in an influencing or advisory capacity
                                          -

                                          #businessintelligence

                                          -
                                          -

                                          -

                                          Hours

                                          -
                                          37.5
                                          -

                                          -

                                          Inclusiveness

                                          -

                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                          -

                                          -
                                          ",,https://jobs.td.com/en-CA/jobs/13648011/senior-advisor-business-insights-and-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-08-30T17:52:27.723Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/78658361-senior-advisor-business-insights-and-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13648011/senior-advisor-business-insights-and-analytics-toronto-ca/,expired,2021-08-21T15:45:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -78c6705e-9888-43e4-b053-1bdb397a9c0e,78757687,NVIDIA,"Deep Learning Engineering Intern, Content & Technology - Fall 2021",on_site,"Ontario, Canada",2021-08-22T07:06:03.381Z,"
                                          -
                                          -
                                          -

                                          We are looking for Deep Learning Interns for our Simulation Technology team! Do you have a passion for computer gaming, virtual reality, computer vision, and artificial intelligence?

                                          -

                                          -

                                          Ever dream about inventing your own holodeck? Do you want to work on leading-edge problems alongside some of the best and brightest people in the world? NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” company that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.

                                          -

                                          -

                                          What you will be doing:

                                          -
                                            -
                                          • You will apply deep learning techniques to the simulation of virtual environments, developing methods to generate synthetic data for training neural networks to achieve results comparable to networks trained on real data

                                          • -
                                          • Work on improving realism for agents in synthetic environments – using reinforcement learning techniques to control behavior and animation of simulated characters, crowds, and vehicles

                                          • -
                                          • Conduct research into novel Deep Learning network architectures and techniques for achieving the above.

                                          • -
                                          • Perform additional development around related technologies as applied to games, VR and visual effects applications.

                                          • -
                                          -

                                          -

                                          What we need to see:

                                          -
                                            -
                                          • Currently pursuing a PhD, MS, or BS in Computer Science or related field.

                                          • -
                                          • 1+ year experience with C++/C, CUDA, DirectX, or OpenGL in addition to Python, PyTorch and TensorFlow.

                                          • -
                                          • Expertise in neural networks, computer graphics, simulation or game development.

                                          • -
                                          • Dedication to producing high quality and creative results

                                          • -
                                          -

                                          -

                                          Ways to stand out from the crowd:

                                          -
                                            -
                                          • You are a great communicator and self-motivated towards team goals
                                          • -
                                          • You welcome mentoring others around you
                                          • -
                                          • Sharp mathematics skills
                                          • -
                                          -

                                          -

                                          NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you\'re a creative and autonomous engineer with a real passion for technology, we want to hear from you.

                                          -

                                          -

                                          -

                                          -

                                          #deeplearning
                                          -
                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Deep-Learning-Engineering-Intern--Content---Technology---Fall-2021_JR1933345-1,feed-importer@jobboard.io,,,,2021-08-26T07:11:06.667Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/78757687-deep-learning-engineering-intern-content-technology-fall-2021-at-nvidia,,expired,2021-08-22T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, -3e577705-2245-46f5-ba57-e2030ad60e6b,78895348,Borealis AI,Research Engineer – Data Systems,on_site,"Toronto, ON, Canada",2021-08-23T13:09:33.245Z,"

                                          Research Engineer – Data Systems

                                          -

                                          Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                          -

                                          We’re looking for an enthusiastic Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                          -

                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com

                                          -

                                          Your responsibilities include:

                                          -
                                            -
                                          • Building data systems to support machine learning-based software solutions;
                                          • -
                                          • Conducting comparisons to existing data algorithms and baselines;
                                          • -
                                          • Reviewing, extending, and optimizing prototype data solutions;
                                          • -
                                          • Supporting projects with thorough documentation, design decisions, and capabilities.
                                          • -
                                          • Collaborating with research and business teams to model and deliver on their data needs;
                                          • -
                                          -

                                          You're our ideal candidate if you:

                                          -
                                            -
                                          • A master’s or PhD degree in computer science, software engineering, or equivalent, with research experience in data systems;
                                          • -
                                          • 2+ years of software engineering experience in a high-responsibility, minimal-supervision environment;
                                          • -
                                          • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Java;
                                          • -
                                          • Solid understanding of distributed computing using CPUs and GPUs;
                                          • -
                                          • Familiarity to Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                          • -
                                          • Strong communication skills and a collaborative attitude
                                          • +

                                            Bonus Point If:
                                            • Graduate degree in data science or related disciplines: e.g. Applied Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                            • A blend of data science capability, consulting expertise and industry experience
                                            • Drive to learn and master new technologies and techniques

                                            +


                                            +
                                          +

                                          Locations

                                          Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                          +
                                          +
                                          +

                                          Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                          +

                                          Equal Employment Opportunity Statement

                                          +

                                          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                          +

                                          Accenture is committed to providing veteran employment opportunities to our service men and women.

                                          +

                                          Requesting An Accommodation

                                          +

                                          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                          +

                                          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                          +

                                          Other Employment Statements

                                          +

                                          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                          +

                                          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00974801_en&title=Data+Scientist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-07-15T22:14:27.768Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/71505242-data-scientist-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00974801_en&title=Data+Scientist,expired,2021-07-07T22:09:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +38d2b2f9-c467-415f-b11d-8eb1f8425d08,71507310,Borealis AI,Machine Learning Researcher,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-07-07T22:33:20.590Z,"

                                          What’s the opportunity?

                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                          +

                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                          +

                                          Your responsibilities include:

                                          • Developing novel AI solutions that facilitate impactful products;
                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                          • Working with the development team to transfer research work into production;
                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                          • +
                                          +

                                          You’re our ideal candidate if you have:

                                          • A passion for solving open problems using data and algorithms;
                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                          • Ability to formulate and drive a research project independently without close supervision;
                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                          • +
                                          +

                                          What’s in it for you?

                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          +

                                          How to apply:

                                          Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                          +

                                          About Borealis AI

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          +

                                          Inclusion and Equal Opportunity Employment

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-03T00:39:12.636Z,False,1,0,67,https://talenthub.vectorinstitute.ai/jobs/71507310-machine-learning-researcher-at-borealis-ai,,expired,2021-07-07T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +0d2d949b-ce19-4120-a02c-0a273ea5fc2c,71585284,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Toronto, ON, Canada",2021-07-08T22:33:17.901Z,"

                                          Job Type: Permanent
                                          Primary Location: Toronto, Ontario, Canada
                                          All Available Locations: Toronto; Montreal; Ottawa; Vancouver

                                          +

                                          +

                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                          Partner with clients to solve their most complex problems
                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                          +
                                          +
                                          +

                                          +
                                          +

                                          +

                                          Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                          +
                                          +
                                          +
                                          +

                                          What will your typical day look like?

                                          +
                                          +

                                          +

                                          As a Senior Consultant, AI Strategy you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.
                                          In this role, you will :

                                          +


                                          • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                          • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                          • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                          • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision

                                          +
                                          +
                                          +
                                          +

                                          About the team

                                          +
                                          +

                                          +

                                          Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                          +

                                          Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                          +
                                          +
                                          +
                                          +

                                          Enough about us, let’s talk about you

                                          +
                                          +

                                          +

                                          You are someone with:

                                          +


                                          • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                          • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                          • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                          • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                          • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                          • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                          • Master of Business Administration or Masters of Management in Analytics is preferred

                                          +


                                          If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.
                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                          +
                                          +
                                          +
                                          +

                                          Why Deloitte?

                                          +

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          +
                                          • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          -

                                          What's in it for you?

                                          -
                                            -
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • -
                                          • Ability to make a difference and lasting impact from a local-to-global scale
                                          • +


                                            The next step is yours

                                            +

                                            Sound like The One Firm. For You?

                                            +

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            +

                                            +

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                          ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763296800/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/71585284-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/763296800/,expired,2021-07-08T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d34389ab-ed58-4489-b78e-8e99e2d73a0d,71753600,Scotiabank,"ORO, Regulatory Data Analyst, Fall 2021 Co-op",on_site,Canada : Ontario : Toronto,2021-07-09T22:33:07.514Z,"

                                          +

                                          +

                                          +

                                          +

                                          Requisition ID: 103605

                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                          +

                                          + +

                                          ORO, Regulatory Data Analyst

                                          Fall 2021 (September to December)

                                          +

                                          +

                                          +

                                          Why work for Scotiabank?

                                          +

                                          +

                                          Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                          +

                                          +

                                          This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                          +

                                          +

                                          +

                                          +

                                          Who We Are:

                                          +

                                          +

                                          Scotiabank Global Banking & Markets provides a full range of credit, risk management and investment banking products and services relevant to the financing and strategic development needs of our clients. Our products include investment banking, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, prime brokerage, debt products, derivatives, foreign exchange and bullion & base metals. We also cross-sell the full range of wholesale products and services offered by Scotiabank.

                                          +

                                          +

                                          Your Work Term At-A-Glance:

                                          +

                                          +

                                          During your internship you will support the Regulatory Onboarding Controls team by providing timely, relevant and accurate reports to assist with ongoing design and coordination of reporting of Key Performance Indicators.:

                                          +

                                          +
                                          • Identify, analyze and interpret trends in complex data sets that pertain to regulatory onboarding counterparty data.
                                          • Support development of controls process for managing regulatory risk related to client onboarding.
                                          • Support development of reporting capability from customer and regulatory onboarding data contained in source system.
                                          • Assist with the design and preparation of reports on daily basis to support regulatory and operational reporting activities.
                                          • Continually acquire and enhance knowledge of both the Bank’s and the Division's business strategies, shifting regulatory environment, evolving risk management practices and methodologies, new products, updated operational processes, and rapidly changing technology to be able to drive effective business solutions.
                                          • Actively support efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, and the Guidelines for Business Conduct.
                                          -

                                          About Borealis AI

                                          -

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          -

                                          Inclusion and Equal Opportunity Employment

                                          -

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",,https://www.borealisai.com/en/careers/employment/5105845002/,aitalent@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-09-22T13:09:34.509Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/78895348-research-engineer-data-systems-at-borealis-ai,,expired,2021-08-23T13:09:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -95f82c82-9490-453b-8344-4aaf196b7488,78895509,Borealis AI,Machine Learning Researcher,on_site,"Toronto, ON, Canada",2021-08-23T13:10:53.203Z,"

                                          What's the opportunity?

                                          -

                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                          -

                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                          -

                                          Your responsibilities include:

                                          -
                                            -
                                          • Developing novel AI solutions that facilitate impactful products;
                                          • -
                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                          • -
                                          • Working with the development team to transfer research work into production;
                                          • -
                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                          • -
                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                          • +

                                            +


                                            QUALIFICATIONS:

                                            +


                                            This role is for you if you are highly self-motivated, and ready to work in a fast paced environment. The processes being built are constantly evolving and changing according to business and compliance needs, and you will be encouraged to contribute your ideas as part of a collaborative process.

                                            +

                                            +
                                            • Working knowledge and experience with MS Excel, and MS Word
                                            • Knowledge of database structure and Visual Basic macros are an asset
                                            • Solid analytical skills with an attention to detail and application of a results oriented approach
                                            • Exceptional time management, and interpersonal communication skills
                                            -

                                            You’re our ideal candidate if you have:

                                            +

                                            +

                                            +


                                            This internship will provide you with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                            +

                                            +

                                            +

                                            How do I Apply?

                                            +

                                            +

                                            +

                                            For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                            +

                                            +

                                            +

                                            1) Complete your PLUM Profile here

                                            +

                                            +

                                            2) Save your PLUM Profile as PDF. Click here to learn how

                                            +

                                            +

                                            3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                            +

                                            +

                                            +

                                            4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                            +

                                            +

                                            +

                                            +

                                            Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                            +

                                            We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                            +

                                            +

                                            +

                                            +

                                            **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                            +

                                            +

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                          ",,https://jobs.scotiabank.com/job/Toronto-ORO%2C-Regulatory-Data-Analyst%2C-Fall-2021-Co-op-ON/547206717/,feed-importer@jobboard.io,,,,2021-08-11T18:51:40.671Z,False,0,2,74,https://talenthub.vectorinstitute.ai/jobs/71753600-oro-regulatory-data-analyst-fall-2021-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-ORO%2C-Regulatory-Data-Analyst%2C-Fall-2021-Co-op-ON/547206717/,expired,2021-07-09T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +482e24de-4bb7-4dd7-a840-d74587fddc7b,71753639,Borealis AI,Machine Learning Engineering Lead,on_site,Toronto,2021-07-09T22:33:26.153Z,"

                                          What's the opportunity?

                                          We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                          +

                                          As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                          +

                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. Each project we take on is like a small start-up, imagine working in a start-up that can immediately impact millions of customers! You can find out more about our work at www.borealisai.com.

                                          +

                                          Your responsibilities include:

                                          • Lead and directly manage a team of 4 engineers, being responsible for planning execution and delivery of ML systems;
                                          • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                          • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                          • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                          • Grow and develop the team, helping each team member advance in their career.
                                          • +
                                          +

                                          You’re our ideal candidate if you:

                                          • Have 7+ years of experience delivering software projects to production;
                                          • Have experience managing a team of engineers;
                                          • Have experience developing modular, robust, scalable software in a modern programming language;
                                          • Experience working with business, product and other technical teams;
                                          • Experience with scaling and performance of large systems;
                                          • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                          • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                          • Have background in machine learning or a related field;
                                          • Experience with Capital Markets or any financial domain is a big plus.
                                          • +
                                          +

                                          What’s in it for you?

                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          +

                                          How to apply:

                                          Please email your resume to mi.research@borealisai.com and include where you heard about this opportunity.

                                          +

                                          About Borealis AI

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          +

                                          Inclusion and Equal Opportunity Employment

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-11T18:49:52.473Z,False,0,0,33,https://talenthub.vectorinstitute.ai/jobs/71753639-machine-learning-engineering-lead-at-borealis-ai,,expired,2021-07-09T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Team Lead,No Degree,New Posting, +d3810b2d-63d4-43c7-96f6-e68c88368b06,72137804,Thales,Software Analyst - Intern,on_site,"Toronto, ON, Canada",2021-07-12T15:04:31.465Z,"

                                          Note - You must be a current student in order to be eligible for this role. Please do not apply if you have already graduated or you are graduating before the Fall 2021 term.

                                          Location: Toronto, Ontario, Canada
                                          Internship / Placement, Full time Location: Toronto, Canada

                                          +

                                          +

                                          Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.

                                          +

                                          Thales provides world-leading Communications-Based Train Control (CBTC) and interlocking for mass rail transit applications globally. The Centre of Competence for Urban Rail Signalling is located right before you at mid-town Toronto. As the largest office in Canada, we house a department for every step of the Software Development Lifecycle (SDLC)! This includes Software, Hardware, Systems Design, Verification & Validation, Operations, etc. The supporting corporate shared services teams in Finance, Human Resources and IT is also located at the office. Our office space was designed to provide a sustainable, healthy workplace that expresses TRSS’s brand while increasing collaboration. Features include Greenguard furniture, EnergyStar appliances, low-emitting adhesives, sealants, and sliding glass doors on internal offices provide daylight and views to the outside. Come join the big Transport family, here in Toronto!

                                          +

                                          We are currently hiring for a Software Analyst - Intern to join us for a 4 month internship position (beginning September 2021) to join the Thales Canada Transportation Solutions.

                                          +

                                          Joining Thales as an intern or coop student is a great way to launch your career! Our roles always provide real-life work experiences that align to your area of study. The Early Careers Program gives you more than just a job – you have the opportunity to begin your career. We offer training, networking opportunities, career development, and social events.

                                          +

                                          The successful Intern will perform design, analysis, programming and integration activities in the development of software for train control systems.

                                          +

                                          Key Responsibilities:

                                            -
                                          • A passion for solving open problems using data and algorithms;
                                          • -
                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                          • -
                                          • Ability to formulate and drive a research project independently without close supervision;
                                          • -
                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                          • +
                                          • Understands and follows the company’s processes and procedures for developing software applications
                                          • +
                                          • Implement supporting tools to real time systems in JavaScript and/or C#
                                          • +
                                          • Designs, codes, debugs, writes test procedures and tests software code
                                          • +
                                          • Reviews code, test procedures and test results
                                          • +
                                          • Analyses and implements corrections for defect reports
                                          • +
                                          • Support in-house testing teams to analyze and identify issues
                                          -

                                          What’s in it for you?

                                          +

                                          Required Skills and Experience:

                                          +
                                          • Pursuing Bachelors or Masters degree in Electrical/Computer Engineering, Computer Science or equivalent
                                          +

                                          Preferred Skills and Experience:

                                            -
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • -
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          • Knowledge of software development environment
                                          • +
                                          • Knowledge of software architecture is considered an asset
                                          • +
                                          • Development experience in JavaScript and/or C# is required (vue.js considered an asset)
                                          • +
                                          • Experience with Visual Studio and Git
                                          • +
                                          • Experience with Linux is considered an asset
                                          • +
                                          • Knowledge of modern software engineering practices, methods and tools
                                          -

                                          -
                                          About Borealis AI

                                          -

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.


                                          Inclusion and Equal Opportunity Employment

                                          -

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",,https://www.borealisai.com/en/careers/employment/5409806002/,aitalent@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-09-22T13:10:54.330Z,False,0,12,135,https://talenthub.vectorinstitute.ai/jobs/78895509-machine-learning-researcher-at-borealis-ai,,expired,2021-08-23T13:10:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, -fae0849f-a5b1-4bb6-9f90-537dce802555,79029560,Thomson Reuters,Associate Architect - Data Engineering,on_site,"Ontario, Canada",2021-08-24T12:29:03.049Z,"
                                          +

                                          Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                          ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-08-11T15:04:00.000Z,True,3,0,209,https://talenthub.vectorinstitute.ai/jobs/72137804-software-analyst-intern-at-thales,,expired,2021-07-12T15:04:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, +f4e903f6-f710-4344-87ba-910923b24bc1,72139292,Loblaw Companies Ltd.,Senior Data Engineering Specialist,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-07-12T15:27:01.400Z,"
                                          -

                                          Associate Architect

                                          +

                                          Referred applicants should not apply directly to this role.

                                          +

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          +

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          +

                                          Why is this role important?

                                          +

                                          Senior Data Engineer

                                          -

                                          As a technologist at Thomson Reuters, you will help shape the global knowledge economy. Our technology ensures that professionals around the world have the answers they need. You will work with the brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s top provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career. Bring your passion for innovation, and together we’ll make a difference.

                                          -


                                          About the Role

                                          -

                                          In this role you will:

                                          +

                                          Loblaw Head Office

                                          +

                                          Location:

                                          +

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          +

                                          +

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          +

                                          +

                                          Why is this role important?

                                          +

                                          +

                                          Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                          +

                                          If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                          +

                                          +

                                          The Data & Analytics team at Loblaw is hiring a Senior Data Engineer with experience in building cloud-based modern data platforms from the ground up. Reporting to the Senior Manager – Data Engineering, the incumbent will be responsible for ingesting, wrangling, cleansing and delivering data to power our Analytics, BI and ML/AI capabilities. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

                                          +

                                          +

                                          What You'll Do:

                                            -
                                          • -Be a Technical Leader – provide thought leadership and guidance in setting the architecture vision and direction for an extendible and maintainable set of editorial system and publishing capabilities. Work with technology teams and beyond to realize their implementation -
                                          • -
                                          • -Be a Team Player – ability to work in a collaborative and inclusive team-oriented environment, partner with cross functional and remote teams, draw out strong design ideas from diverse teams and high performing engineers, and translate requirements into actionable architecture
                                          • -
                                          • -Be an Effective Communicator – ability to concisely and completely articulate complex technical issues; ability to target your audience, actively listen, and value diverse ideas
                                          • -
                                          • -Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced dynamic environment to deliver solutions against strict timelines
                                          • -
                                          • -Be Curious & Innovative – ability to question the status quo. Continuously update yourself with industry trends, next generation technology, and software development best practices.
                                          • +
                                          • Build and maintain batch and real-time data pipelines.
                                          • +
                                          • Build and maintain an API gateway to manage integration points between the data platform and other applications and data consumers.
                                          • +
                                          • Build end-to-end processes supporting data ingestion, data transformations, data wrangling, data cleansing and data delivery.
                                          • +
                                          • Explore opportunities for optimization of existing data pipelines and re-designing of data infrastructure for greater scalability and performance.
                                          • +
                                          • Build and maintain a repository of metadata and lineage information about how data flows through its lifecycle.
                                          • +
                                          • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.
                                          • +
                                          • Contributes to the development and documentation of data management standards framework.
                                          • +
                                          • Mentor and cross-train junior data engineers.

                                          -

                                          About You

                                          +

                                          What You'll Bring:

                                            -
                                          • Experience in software design, methodologies (especially Agile), and tools
                                          • -
                                          • Broad experience in enterprise-class system, full-stack, design and development including use of the following technologies: Java, Front-End Technologies (e.g., JavaScript, jQuery, Angular), XML (DOM, SAX), DHTML/XHTML/HTML5, CSS, Database and SQL (e.g., Oracle, SQL Server), as well as NoSQL, Messaging Technologies (e.g., IBM MQ, Kafka), APIs (e.g., REST, SOAP), Web Services (e.g, Tomcat), MS ADO, Eclipse, Ant, Maven, Junit
                                          • -
                                          • Must be an excellent communicator when speaking, writing, and in diagramming
                                          • -
                                          • Excellent interpersonal skills with an ability to operate across organizational boundaries and to influence business stakeholders, as well as technology peers
                                          • -
                                          • Advanced analytical skills with the ability to synthesize business requirements with technology capabilities to produce coherent technical designs
                                          • -
                                          • Demonstrated ability to quickly learn and analyze new technologies
                                          • -
                                          • Have 5+years relevant experience in large distributed systems, including 1+ years architecture/ design experience.
                                          • -
                                          • You may also have:
                                              -
                                            • Cloud experience (AWS or Azure)
                                            • -
                                            • Experience in Cognitive Computing (e.g, Machine Learning, NLP, Classification, Clustering)
                                            • -
                                            • Architecting API-first solutions
                                            • -
                                            • Experience in processing large volumes of data
                                            • -
                                            • System load and scale testing
                                            • -
                                            +
                                          • University degree in Computer Science, Mathematics, Engineering or related field.
                                          • +
                                          • 5+ years of software engineering experience with strong focus on data.
                                          • +
                                          • 5+ years of relevant OO programming experience using Java and Python.
                                          • +
                                          • Experience working with Cloud data platforms technologies: Google Cloud Platform (Dataflow, Big Query, Apache Beam, Apache Airflow)
                                          • +
                                          • Experience using Gitlab to configure and build CI/CD pipelines.
                                          • +
                                          • Experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)
                                          • +
                                          • Advanced knowledge of SQL queries
                                          • +
                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                          • +
                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                          • +
                                          • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                          • +
                                          • Strong detail orientation is essential in this role
                                          • +
                                          • A Team player and self-starter

                                          -

                                          -

                                          What’s in it For You

                                          -

                                          At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                          +

                                          What You Can Expect:

                                          +

                                          We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                          +

                                          Other perks of joining Loblaw:

                                            -
                                          • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to cutting-edge technology
                                          • -
                                          • -Benefits: Flexible work arrangements, comprehensive health coverage that’s effective day one
                                          • -
                                          • -Perks: Social events & activities, employee discount programs through corporate perks
                                          • +
                                          • Competitive compensation and benefits package
                                          • +
                                          • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                          +
                                            +
                                          • A flexible work environment which values balance
                                          • +
                                          • Colleague Discount Program
                                          • +
                                          • Tuition reimbursement Program
                                          • +
                                          • Employee Share Ownership plan
                                          • +
                                          • Pension Plan
                                          • +
                                          +

                                          If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                          We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                          +

                                          How You’ll Succeed: 

                                          +

                                          At Loblaw, we seek great people to continually strengthen our culture.  We believe great people model our values, are authentic, build trust and make connections. 

                                          +

                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                          +

                                          In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                          -

                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                          -

                                          -

                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                          -

                                          -

                                          -

                                          #LI-JS1

                                          -


                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                          -

                                          -

                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                          -

                                          -

                                          Accessibility

                                          +

                                          #LI-FF1

                                          +

                                          How You’ll Succeed:

                                          +

                                          At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                          +

                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                          -

                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                          +

                                          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                          -

                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                          -

                                          Protect yourself from fraudulent job postings click here to know more.

                                          +

                                          Employment Type:

                                          Full time

                                          -

                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                          +

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                          +

                                          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                          -
                                          ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Associate-Architect_JREQ145372?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2021-09-24T18:04:26.829Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/79029560-associate-architect-data-engineering-at-thomson-reuters,,expired,2021-08-24T12:29:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, -a2763127-bf42-4afd-ab46-ce01b3884808,79227610,TD Bank Group,DATA & ANALYTICS ASSOCIATE PROGRAM- DS&AA (GRADUATE),on_site,"Toronto, ON, Canada",2021-08-25T17:41:36.125Z,"

                                          Company Overview

                                          -

                                          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                          -

                                          TD’s Colleague Promise: A better you. A better us.

                                          -

                                          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                          +
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Specialist_R2000208072,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-08-09T15:41:08.312Z,False,0,0,26,https://talenthub.vectorinstitute.ai/jobs/72139292-senior-data-engineering-specialist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Specialist_R2000208072,expired,2021-07-12T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +bf25cca0-2893-427e-86e2-703e49327406,72188518,Manulife,Associate Data Scientist (AADP Rotational Program),on_site,"Toronto, ON CA",2021-07-12T22:33:32.966Z,"

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          +

                                          +

                                          Job Description

                                          +
                                          +

                                          We are actively seeking bright, eager candidates who are immediately seeking to join Manulife’s Advanced Analytics Development Program for a 2021 Fall start.

                                          +

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          -

                                          Department Overview

                                          -

                                          Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                          -

                                          Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                          -

                                          As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                          +
                                          +
                                          +

                                          The Advanced Analytics Development Program (AADP) provides an opportunity to be a member of a cross-functional team that includes experts in predictive modelling and machine learning. The program is a 24 month program with 2-3 placements/rotations in data scientist roles with our Advanced Analytics teams. Each rotation can range from 8 to 12 months in duration and will provide graduates with exposure to multi-dimensional, complex analytic initiatives across all lines of business: insurance, retirement, wealth management and investments.

                                          -

                                          Job Description

                                          -

                                          The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                          +

                                          The placement and its duration depend upon a number of factors including the participant's development needs and the needs of the business. The program allows you the opportunity to make an impact in a global organization by working on diverse teams and projects and gaining exposure to international business. First placements are located in one of Manulife's Divisional headquarters; Toronto, Waterloo, Boston or Hong Kong. Subsequent placements could be at any one of our operations in Canada, US or Asia based on development needs of the participant and placement opportunities available.

                                          +

                                          +

                                          How does Manulife differentiate as the employer of choice to build a career in Advanced Analytics?

                                          +

                                          1. Value At Manulife, Advanced Analytics is a change agent.

                                          +

                                          We are a business partner that helps with transforming the company using analytics to drive insight, action and value in everything Manulife does. The teams work closely with business leaders, build business cases and quantify the business value of the opportunity to the organization.

                                          +

                                          The successful candidate will work with the team and the business unit to:

                                            -
                                          • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                          • -
                                          • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                          • -
                                          • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                          • -
                                          • Build production-scale solutions and work with deployment teams to integrate in business operations
                                          • -
                                          • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                          • +
                                          • Convert the business opportunity into an analytical problem

                                          • +
                                          • Measure the size of the opportunity

                                          • +
                                          • Determine key performance measures (KPIs) to track success.

                                          • +
                                          • Use a variety of statistical and machine learning techniques to solve the problem.

                                          • +
                                          • Demonstrate shared value through the conversion of algorithms into a business process.

                                          -

                                          Requirements

                                          +

                                          2. Challenging opportunities exist for the data scientist and data engineer.

                                          +

                                          In these roles the successful candidate will gain exposure utilizing software such as R, Python or SAS.

                                          +

                                          The data scientist is expected to either have or develop expertise in techniques such as:

                                            -
                                          • Must be graduated between May 2020 and May 2022 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                          • -
                                          • At least 2 years of professional experience; which can include work terms during your completion of studies.
                                          • -
                                          • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                          • -
                                          • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                          • -
                                          • Experienced in one or more of:
                                              -
                                            • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                            • -
                                            • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                            • -
                                            -
                                          • -
                                          • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                          • -
                                          • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                          • -
                                          • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                          • -
                                          • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                          • -
                                          • Remain current with emerging trends and technologies in Data Science.
                                          • +
                                          • Classification and Regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge),

                                          • +
                                          • Decision Trees

                                          • +
                                          • Clustering (Traditional, Bagged, Hierarchical)

                                          • +
                                          • Random Forest

                                          • +
                                          • GBM, SVD, SVM

                                          • +
                                          • Neural networks

                                          • +
                                          • Text Mining (TF-IDF, Latent Dirichlet and Similarity models)

                                          • +
                                          • Optimizations (Linear and Non-linear)

                                          • +
                                          • Simulations (MCMC) etc.

                                          • +
                                          • Seeking a candidate who is pursing a Masters or PhD in Data Science or a related field, and will graduate within 0-2 years of 2020

                                          -

                                          Additional Information

                                          -
                                            -
                                          • -Application Deadline: September 12th, 2021
                                          • -
                                          • -Anticipated Start Date: January 4th, 2022 OR July 4th, 2022 (pending academic completion)
                                          • -
                                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                          • -
                                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                          • -
                                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                          • -
                                          • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                          • -
                                          ",,https://jobs.td.com/en-CA/jobs/13657753/data-analytics-associate-program-ds-aa-graduate-toronto-ca/,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-09-14T07:00:00.000Z,True,0,30,132,https://talenthub.vectorinstitute.ai/jobs/79227610-data-analytics-associate-program-ds-aa-graduate-at-td-bank-group,,expired,2021-08-25T17:41:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Masters Degree,New Posting, -dc2ea6b8-9645-4982-8aa4-7e0740039d35,101620551,Loblaw Companies Ltd.,Senior Business & Customer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:02.832Z,"
                                          -
                                          -
                                          -

                                          Referred applicants should not apply directly to this role.

                                          -

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          -

                                          -

                                          -

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          -

                                          -

                                          Inspired by food? Committed to excellent service? So are we.
                                          At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                          We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                          Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                          -

                                          -

                                          Why is this role important?

                                          -

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          -

                                          We are hiring a Sr. Analyst, Business & Customer Insights

                                          -

                                          Reporting to the Director, Business & Customer Insights, the Sr. Analyst will be responsible for providing objective, value-added analysis and recommendations to facilitate discussions & decisions related to high profile loyalty initiatives. The Sr. Analyst will work with various stakeholders in the business on analytics and insights, reporting and measurement, to help the business in making key decisions and driving the PC Optimum strategy and program execution

                                          -

                                          What You'll Do:

                                          +

                                          The scientist will apply these methods to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all of the organization’s geographies and divisions.

                                          +

                                          The Data Engineer will gain valuable experience with a number of data technologies that support software development, advance analytics and reporting including:

                                            -
                                          • Work with various business stakeholders on requests and questions into analytical problems. Requests can be strategic or tactical in nature, including but not limited to targeting, segmentation, list generation and automation, development of dashboards, reports, measurement, and data modeling
                                          • -
                                          • Responsible for the extraction, review, and preparation of complex operational and customer behavior information from a variety of databases (SQL, GCP, etc).
                                          • -
                                          • Use Cloud based Python/Scala environment to process big data, conduct analysis, and visualizing the results.
                                          • -
                                          • Generate meaningful insights to solve business problems, identify new opportunities and drive strategy.
                                          • -
                                          • Build presentations to clearly articulate insights, while simplifying complex data and processes for various levels of audiences including senior management
                                          • -
                                          • Work collaboratively with business partners in marketing, digital, loyalty strategy, technology, and divisional teams
                                          • +
                                          • Cloud (Azure)

                                          • +
                                          • Hadoop (Hortonworks, Pivitol)

                                          • +
                                          • Statistical Packages (Matlab,)

                                          • +
                                          • Databases: HAWQ, HDB, MongoDB, Cassandra, HBase

                                          • +
                                          • Reporting and Data Visualization tools (Qlik, Tableau, Oracle etc)

                                          • +
                                          • Scripting Languages: Java, C++, PHP, Ruby

                                          -
                                          • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value-added recommendations
                                          -

                                          What You'll Need:

                                          +

                                          The engineer provides leadership and consultative support to data activities across the organization and is key to ensuring that the data environment supports value-add activities in analytics, decision making and direct customer facing activities.

                                          +

                                          +

                                          3. Continuous Development

                                          +

                                          Manulife is committed to Learning and Development. The candidate will be hired into the Advanced Analytics Development Program and introduced to a seasoned and eminent analytic leader in the organization who will act as a mentor. Manulife’s analytic leaders have backgrounds ranging from Management Consulting, P&C, Life, Investments, Retirements and who have solved Business Problems for the likes of Walmart, Caterpillar, Lowes, AT&T, Farmers, Capital One, Google, HSBC to name a few.

                                          +

                                          Program participants will have access to and can expect to participate in:

                                            -
                                          • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                          • -
                                          • 3-5 years related work experience in an analytical role. Experience ideally in Retail, Loyalty, CPG industry, Consumer Finance, Telecommunications, or Consulting
                                          • -
                                          • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). Advanced SQL is mandatory.
                                          • -
                                          • Experience with cloud platforms (i.e. GCP and Azure) is an asset
                                          • -
                                          • Experience with visualization tool (i.e. Tableau, PowerBI and etc) is an asset
                                          • -
                                          • Ability to synthesize large amounts of data into actionable insights
                                          • -
                                          • Strong ability to build presentations and present complex ideas in a clear, articulate way
                                          • -
                                          • Strong interpersonal skills and comfortable proactively leading discussions and collaborating with cross functional teams
                                          • -
                                          • Demonstrate strong business acumen – understanding of how data/insights translates into business value
                                          • -
                                          • Advanced skills in Microsoft Office suite (Excel, Powerpoint)
                                          • -
                                          • Strong attention to detail
                                          • -
                                          • Creativity for thinking of new ideas, with a strong curiosity and willingness to ask questions
                                          • +
                                          • Kaggle-style data science competitions

                                          • +
                                          • Team and networking events

                                          • +
                                          • Monthly Global Best Practice meetings

                                          • +
                                          • Conferences/Training courses

                                          • +
                                          • Presentations to Executives

                                          -

                                          -

                                          COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                          -

                                          -

                                          In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                          -

                                          -

                                          -

                                          -

                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                          -

                                          -

                                          -

                                          -

                                          Employment Type:

                                          Full time

                                          -

                                          -

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                          -

                                          -

                                          Please Note:  
                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                          -
                                          -
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-06T18:00:13.249Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/101620551-senior-business-customer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -85b368e8-a1c4-46e0-929d-e0c906ceb975,100085645,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2021-12-20T20:32:08.146Z,"
                                          -

                                          Company Overview

                                          -
                                          -

                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                          -

                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                          -

                                          -

                                          Department Overview

                                          -
                                          -

                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                          -

                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                          -
                                          +

                                          Students graduating in 2022 and beyond will not be considered for this posting.

                                          +

                                          -

                                          Job Description

                                          -
                                          -

                                          -

                                          About this Role

                                          -

                                          As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                          -

                                          In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                          -

                                          -

                                          As a Senior Business Insights Analyst, you will:

                                          +


                                          If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                          +


                                          About Manulife

                                          +

                                          About Manulife Manulife Financial Corporation is a leading international financial services provider that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and our global wealth and asset management segment, Manulife Investment Management, serves individuals, institutions and retirement plan members worldwide. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of March 31, 2021, we had CAD$1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.3 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          +

                                          Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                          ",,https://jobs.manulife.com/ShowJob/JobId/1164561/AssociateDataScientistAADPRotationalProgram,feed-importer@jobboard.io,,,,2021-07-16T00:39:38.839Z,False,0,5,22,https://talenthub.vectorinstitute.ai/jobs/72188518-associate-data-scientist-aadp-rotational-program-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1164561/AssociateDataScientistAADPRotationalProgram,expired,2021-07-12T22:33:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +1a54b097-34c4-4627-92ea-c9575fd04429,72188554,RBC,Data Engineer,on_site,"Halifax, Ontario, Canada",2021-07-12T22:34:09.167Z,"
                                          +

                                          What is the opportunity?

                                          +

                                          Research Technology builds data pipelines and analytics models for the data driven Research business within RBC Capital Markets. We are looking for an experienced data engineer who is quick to adapt to new technologies and enthusiastic about analyzing and automating data processing.

                                          +

                                          +

                                          What will you do?

                                            -
                                          • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                          • -
                                          • Develop analysis to illustrate business trends and identify areas of business opportunities
                                          • -
                                          • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                          • -
                                          • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                          • -
                                          • Execute on data requests accurately and within a timely manner
                                          • -
                                          • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                          • -
                                          • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                          • -
                                          • Provides day-to-day support and delivery of analytics
                                          • -
                                          • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                          • -
                                          • Considered an authority within a given area
                                          • -
                                          • Oversee and/or independently perform tasks from end to end
                                          • +
                                          • Work in an agile team of Data Engineers, Scientists, Developers and RBC Equity Research stakeholders.
                                          • +
                                          • Collaborate with data scientists to develop data pipelines and analytics, using alt-data, to support Equity Research.
                                          • +
                                          • Enhance and optimize prototype analyses to run at scale on internal data lakes, or cloud platforms.
                                          • +
                                          • Work with platform and infrastructure groups to configure and stand-up required hardware and software stacks.
                                          -
                                          -

                                          -

                                          Requirements

                                          -
                                          -What can you bring to TD?

                                          -

                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                          +

                                          +

                                          What do you need to succeed?

                                          +

                                          +

                                          Must Have:

                                            -
                                          • Undergraduate degree or technical certificate
                                          • -
                                          • Five (5) or more years relevant experience
                                          • +
                                          • 5+ years of object oriented or functional programming experience with Python, Java/Scala with strong knowledge of algorithms and data structures.
                                          • +
                                          • Expertise with relational and non-relational databases. E.g. SQL Server, Oracle, Hadoop, Hive, Elasticsearch.
                                          • +
                                          • Big data processing using Hadoop or cloud platforms
                                          • +
                                          • Comfortable applying engineering best practices for Test Driven Development, integration testing, version control, Continuous Integration and Deployment
                                          • +
                                          • Undergraduate degree in Computer Science, Engineering or Mathematics
                                          -
                                          -

                                          -

                                          Hours

                                          -
                                          37.5
                                          -

                                          -

                                          Inclusiveness

                                          -

                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                          -

                                          -
                                          ",,https://jobs.td.com/en-CA/jobs/14573014/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-03T20:38:09.716Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/100085645-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14573014/senior-business-insights-analyst-toronto-ca/,expired,2021-12-20T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d34beb08-7f32-4ed4-a8d6-39572b16dce2,38323547,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, ON, Canada",2020-08-19T13:27:10.892Z,"

                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                          Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                          Be encouraged to deepen your technical skills…whatever those may be.

                                          -

                                          Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                          -

                                          What will your typical day look like?

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                          -

                                          About the team

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                          -

                                          Enough about us, let’s talk about you

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          -

                                          You are someone who has:

                                          +

                                          +

                                          Nice to Have

                                            -
                                          • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                          • -
                                          • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                          • -
                                          • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                          • -
                                          • 1+ years of hands-on experience with data management concepts
                                          • -
                                          • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                          • -
                                          • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                          • +
                                          • Experience with Docker, Kubernetes, Cloud deployment.
                                          • +
                                          • Job scheduling with Airflow or other workflow scheduling systems.
                                          • +
                                          • Experience with Supervised and Unsupervised Machine learning.
                                          • +
                                          • Experience following agile methodologies.
                                          -

                                          Why Deloitte?

                                          -

                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                          +

                                          +

                                          What’s in it for you?

                                          +

                                          +

                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            -
                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                          • -
                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                          • -
                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                          • +
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                          • +
                                          • Leaders who support your development through coaching and managing opportunities
                                          • +
                                          • Ability to make a difference and lasting impact
                                          • +
                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                          • +
                                          • A world-class training program in financial services
                                          • +
                                          • Flexible work/life balance options
                                          • +
                                          • Opportunities to do challenging work
                                          -


                                          The next step is yours

                                          -

                                          Sound like The One Firm. For You?

                                          -

                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                          -

                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                          ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-09-19T12:40:17.189Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/38323547-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,,expired,2020-08-19T13:27:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -24c39977-0955-43a2-aa54-72615f785aac,38416652,Borealis AI,Associate Product Manager ☑️,on_site,"Toronto, ON, Canada",2020-08-21T13:10:58.095Z,"

                                          What's the opportunity?

                                          -

                                          As a member of the Product Management team, you’ll get a chance to build innovative AI products for the financial industry and beyond through a deep understanding of our AI capabilities applied to real-world scenarios. You’ll be responsible for turning research into full-fledged products and will work closely with the business development, engineering, and research teams to deeply understand the problem space and define compelling products.

                                          -

                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                          -

                                          Your responsibilities include:

                                          +

                                          +

                                          About RBC
                                          Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                          +

                                          +

                                          Inclusion and Equal Opportunity Employment
                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          +

                                          +

                                          Join our Talent Community

                                          +

                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          +

                                          +

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                          +

                                          +

                                          JOB SUMMARY
                                          City: Halifax
                                          Address: 120 Western Parkway, Bedford
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Position Level: CM - Professional
                                          Required Travel(%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/30/2021
                                          Req ID: 382678

                                          +

                                          +

                                          +

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/382678/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/72188554-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/382678/Data-Engineer,expired,2021-07-12T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a181c1c8-6c9f-4f07-8400-57e495459359,72188555,RBC,Senior Data Architect,on_site,"Toronto, Ontario, Canada",2021-07-12T22:34:09.440Z,"
                                          +

                                          The Senior Data Architect is responsible for data architecture and technology capabilities in support of business requirements and realization of Technology Infrastructure (TI) Data Platform and AIOps services. The role maintains strong partnerships with key enterprise stakeholders, including Business Platforms Architecture, Enterprise Architecture (EA) group and TI technology teams to lead development of an end-to-end TI data solutions architecture, technology standards and innovation for high complexity and high risk IT initiatives. The role provides technical leadership, vision, forward thinking, technical conflict resolution and enables technical coordination & support for the delivery of the TI data and analytics solutions, including AIOps data science solutions.

                                          +

                                          +

                                          +

                                          Key Accountabilities

                                          +

                                            -
                                          • Drive product-strategy and roadmaps with the Lead Product Manager
                                          • -
                                          • Own and prioritize project plan, driving multi-functional teams in realizing customer value based on ML research
                                          • -
                                          • Translate business and user requirements into engineering and research product requirements
                                          • -
                                          • Collaborate with engineers and researchers to define detailed functional specs to align the team on what we are delivering, and what success looks like
                                          • -
                                          • High touch managing epics and user stories within JIRA keeping deep prioritized backlogs maximizing teams effectiveness
                                          • -
                                          • Manage, develop, and lead hi-performing project teams, collaborating across research, engineering and business development to deliver world-class AI products
                                          • +
                                          • Architect the TI data platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems and automating data feeds leveraging next-generation solution technologies and data architecture principles.
                                          • +
                                          • Define and manage data architecture for the AIOps Data Science team and participate in architecture review and approval process.
                                          • +
                                          • Provide architecture support and tough leadership for the several TI Data Engineering teams.
                                          • +
                                          • Work in an agile fashion to onboard data, define a business process for data ingestion and transformation; create and manage metadata for different data sources.
                                          • +
                                          • Work closely with Data Science team to provide environment and data automation capabilities.
                                          • +
                                          • Work closely with technical and business stakeholders on data governance, provisioning, and access control.
                                          -

                                          You're our ideal candidate if you:

                                            -
                                          • Have a technical degree (CS/Engineering);
                                          • -
                                          • Have 2+ years of experience building products;
                                          • -
                                          • Are continually curious and empathetic about customers and are driven to build great products for them;
                                          • -
                                          • Are excited about digging into technical details;
                                          • -
                                          • Are analytical in your problem-solving approach;
                                          • -
                                          • Have a track record of thorough delivery;
                                          • -
                                          • Can wade through ambiguity to define clear objectives for a product;
                                          • -
                                          • Are great at collaborating across a spectrum of stakeholders, from business partners to researchers to engineers;
                                          • -
                                          • Have enthusiasm for learning about machine learning and AI (Bonus points if you have worked in this area).
                                          • +
                                          • Defines end to end technical solutions (solution blueprint) that takes into account the architecture and technology strategies, current state environment and constraints. Analyzes the viability of the solution to meet program timeline, budget and quality.
                                          • +
                                          • Develops and presents solution alternatives along with recommendations to executives and senior management.
                                          -

                                          What's in it for you?

                                            -
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • -
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          • Presents solution architecture at the technology review forums, like peer-review and/or Architecture Review Board (ARB).
                                          • +
                                          • Develops the architecture artifacts (Solution Architecture, Architecture Decisions) as defined by the PMF/SDLC and reviews with Enterprise Architecture, Lead Architects, Business Architects, Infrastructure SMEs and key program stakeholders.
                                          -

                                          About Borealis AI
                                          -

                                          -

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          -

                                          Inclusion and Equal Opportunity Employment

                                          -

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-09-20T18:04:35.772Z,False,2,0,47,https://talenthub.vectorinstitute.ai/jobs/38416652-associate-product-manager-at-borealis-ai,,expired,2020-08-21T13:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,New Posting, -246689fd-7113-49da-a2ee-b1cc1354564f,38417910,Ontario Institute for Cancer Research,"Postdoctoral Fellow, Computational Chemistry & Chemoinformatics",on_site,"Toronto, ON, Canada",2020-08-21T19:56:11.671Z,"

                                          The Drug Discovery Program at the Ontario Institute for Cancer Research (OICR) is seeking a post-doctoral scientist with expertise in Computational Chemistry and Chemoinformatics.

                                          -

                                          The OICR Drug Discovery Program is one of the largest programs of its kind in Canada. Our mission is to help efficiently translate discoveries made in Ontario’s labs into novel oncology therapies. Based in Toronto, you will be a part of a dedicated team of scientists to identify and optimize new anti-cancer drug candidates using a wide variety of computational approaches. As a member of the Drug Discovery Program, you will have a chance to use the state-of-the-art OICR hardware facilities (that includes a 14,000-core SGE HPC Cluster with 16 PB data storage), Drug Discovery servers and all major commercial software tools required for Computational Drug Discovery, which is currently used by pharmaceutical companies. You will closely collaborate with a team of scientists with a broad Pharma and Biotech experience in the fields of Computational Chemistry, Chemoinformatics, Medicinal Chemistry, Biochemistry, Cell and in vivo Biology and DMPK and contribute to several anti-cancer drug discovery projects. As a part of collaborative projects, you will also interact with leading academic scientists and physicians in Toronto’s Discovery District, including a recently funded grant from COVID-19 Ontario Rapid Research Fund to identify new therapeutics and existing drugs that could be repurposed for the treatment of COVID-19 (bit.ly/2PtqEBr).

                                          -

                                          To find out more about what’s happening in Drug Discovery, visit OICR News.

                                          -

                                          RESPONSIBILITIES:

                                          +

                                          +

                                          +

                                          Knowledge and Experience

                                          +

                                            -
                                          • Collaborate effectively with Medicinal Chemists in the group and contribute to drug discovery projects via a wide variety of Molecular Modeling, Chemoinformatics, Ligand- and Structure-Based Analog Design and Data Mining tools;
                                          • -
                                          • Develop new tools to streamline Computational Drug Discovery (BIOVIA Pipeline Pilot, Schrodinger Drug Discovery suite, MolSoft ICM Pro) and other tools, and apply them to drug discovery projects, including some open science projects like COVID-19;
                                          • -
                                          • Participate in new target validation by performing structure-based target assessment, virtual screening to identify new hits, hit expansion, assisting chemists in Hit-to-Lead and Lead Optimization;
                                          • -
                                          • Assist biologists in streamlining uploading of newly generated biological data and upload data generated by external vendors;
                                          • -
                                          • Help develop quality, predictive, self-evolving machine learning models for our Tier 1 ADMET set of assays and potency models for our structure-based drug design projects;
                                          • -
                                          • Present results to internal and external audiences, including at international meetings, and contribute to manuscripts for peer-reviewed international journals;
                                          • -
                                          • Adhere to all OICR safety guidelines and policies, strongly advocate safety to others.
                                          • +
                                          • Bachelor’s degree in computer science or computer engineering or other BS/BA degree with a concentration in computer science or information systems
                                          • +
                                          • 10+ years of IT experience – minimum 8 years of experience with solution architecture and design on large, complex data and analytics application and projects.
                                          • +
                                          • Proven experience in leading data architecture of a large program from initiation to implementation.
                                          • +
                                          • Working knowledge of financial applications as well as host based systems.
                                          • +
                                          • Experience and demonstrated understanding of how various regulations in different jurisdictions (North America vs. EMEA vs. APAC) can impact architectures and solutions.
                                          • +
                                          • Experience in developing systems architecture and solutions in a geographically dispersed team environment.
                                          • +
                                          • Experience in all aspects of architecture including application, data, security and infrastructure.
                                          • +
                                          • Advanced ability to apply industry/technical knowledge to provide solutions that increase business results and/or minimize risk regarding the integration of applications across multiple product systems and delivery channels.
                                          • +
                                          • Advanced ability to quickly evaluate options, make decisions and execute within an intense high-tech environment.
                                          • +
                                          • Strong leadership skills that can effectively manage large cross functional technical teams and ability to define, influence and impact the technical direction.
                                          • +
                                          • Expert documentation, written and verbal communication skills.
                                          -

                                          QUALIFICATIONS

                                          +

                                          +

                                          Technical Competencies

                                          +

                                          Must-have

                                            -
                                          • PhD awarded within three to four years in Computational Chemistry, Chemoinformatics or a related field with solid theoretical and practical knowledge of Chemoinformatics, ligand- and structure-based Virtual Screening, Machine Learning and Data Science;
                                          • -
                                          • Experience in homology modeling, docking and scoring;
                                          • -
                                          • Proficiency in at least one molecular modeling package, i.e. Schrodinger Drug Discovery suite, MolSoft ICM Pro;
                                          • -
                                          • Experience in at least one scripting and programming language, such as those included in BIOVIA Pipeline Pilot and/or KNIME;
                                          • -
                                          • Knowledge of relational databases, understanding organic and/or medicinal chemistry is a plus;
                                          • -
                                          • Highly motivated and self-dedicated scientist, good team player and excellent interpersonal skills;
                                          • -
                                          • Written and spoken fluency in English and excellent communication skills;
                                          • -
                                          • Enthusiasm to work in an interactive, team environment.
                                          • +
                                          • Minimum 10+ years in enterprise scale data architecture and data engineering projects with preferably 3+ years in cloud native data solutions.
                                          • +
                                          • Experience working with several relational data solution such as SQL Server, MySQL, MariaDB, PostgreSQL.
                                          • +
                                          • Experience working/supporting Data Science and/or Analytics teams.
                                          • +
                                          • Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                          • +
                                          • Experience with enterprise level security solutions for identity and access management.
                                          • +
                                          • Experience with analysis techniques and measurement tools to continuously build valuable insights and business recommendations.
                                          • +
                                          • Effective programming / query skills and knowledge of common data manipulation, visualization and analytical tools (Tableau, Graphana, Kibana or similar.)
                                          • +
                                          • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined.
                                          • +
                                          • Analytical, insights driven with the ability to help the organization to leverage data driven decisions.
                                          • +
                                          • Strategic with strong change management, continuous improvement and transformation skills.
                                          -

                                          The position is for two years, with a possibility of extension to three years. OICR provides competitive fellowships dependent on experience. Please submit your CV/resume, list of publications and a statement of interest.

                                          -

                                          OICR is an innovative cancer research institute located in the MaRS Centre in the Discovery District in downtown Toronto. OICR is addressing significant challenges in cancer research with multi-disciplinary, multi-institutional teams. New discoveries to prevent, detect and treat cancer will be moved from the bench to practical applications in patients. The OICR team is growing quickly. We are innovative, dedicated professionals who bring expertise to each of our roles. We are looking for individuals interested in being part of a culture of excellence that will result in Ontario being recognized internationally as a leading jurisdiction for cancer research.

                                          -

                                          Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Colleges and Universities.

                                          -

                                          For more information about OICR, please visit the website at www.oicr.on.ca.

                                          -

                                          CLOSING DATE: Until Filled

                                          -

                                          OICR is an inclusive employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the Recruiter to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation will be addressed confidentially.

                                          -

                                          The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted.

                                          ",gennady.poda@oicr.on.ca,,aimasters@vectorinstitute.ai,,,,2020-09-20T19:59:24.375Z,False,1,0,52,https://talenthub.vectorinstitute.ai/jobs/38417910-postdoctoral-fellow-computational-chemistry-chemoinformatics-at-ontario-institute-for-cancer-research,,expired,2020-08-21T19:56:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Fellowship,PhD,New Posting, -a98f369a-98bf-466b-bc5e-5734ff2bbfb0,38555032,Borealis AI,Data Engineering Lead ☑️,on_site,"Toronto, ON, Canada",2020-08-25T15:45:59.384Z,"

                                          What's the opportunity?

                                          -

                                          We’re looking for an enthusiastic engineering lead who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems.

                                          -

                                          As a Data Engineering Lead, you’ll be responsible for owning and delivering data engineering solutions to Borealis AI project teams and its customers. You’ll be directly managing a team of data engineers, responsible for strategic planning, execution and delivery of data engineering solutions. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                          -

                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at www.borealisai.com .

                                          -

                                          Your responsibilities include:

                                          +

                                          Nice-to-have

                                            -
                                          • Lead the design, implementation and deployment of data engineering solutions for ML systems;
                                          • -
                                          • Directly manage a team of data engineers, being responsible for planning execution and delivery of features and data pipelines;
                                          • -
                                          • Lead efforts in extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark etc.).
                                          • +
                                          • Experience working with infrastructure operations management data, i.e. monitoring, logs, alerts, and incident data.
                                          • +
                                          • Experience with graph databases like neo4j and GraphX.
                                          • +
                                          • Experience working with cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lamba, RedShift, Azure DW.
                                          • +
                                          • Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure.
                                          • +
                                          • Exposure to building and deploying predictive and prescriptive analytics models using any of the following: Python SciKit, R and Pytorch.
                                          • +
                                          • Experience with ML Ops tools such as Dataiku or MLFlow.
                                          • +
                                          • Experience with next generation solution delivery on key technologies such as Python, Kafka, Spark, Apigee, Jenkins; container solutions including Docker/Kubernets; and on-prem cloud technologies such as Openshift or Pivotal.
                                          -

                                          You’re our ideal candidate if you:

                                          +

                                          +

                                          Attributes

                                          +

                                            -
                                          • Have a bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field, with detailed knowledge of machine learning algorithms, is an asset;
                                          • -
                                          • Have 5+ years’ industry experience;
                                          • -
                                          • Have experience of managing a team of engineers;
                                          • -
                                          • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                          • -
                                          • Have experience with writing modular, robust, scalable software in one of the modern languages such as C++, C#, Java, Python;
                                          • -
                                          • Have knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
                                          • -
                                          • Experience with scaling and performance of large systems;
                                          • -
                                          • Experience in working with business, product and other technical teams;
                                          • -
                                          • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team.
                                          • +
                                          • Exceptional leadership.
                                          • +
                                          • Critical thinker, analytical.
                                          • +
                                          • Can deal with ambiguity and requests for change.
                                          • +
                                          • Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure.
                                          • +
                                          • Strong time management skills.
                                          • +
                                          • Business acumen.
                                          • +
                                          • Comfortable in high pressure, deadline-oriented environment.
                                          • +
                                          • Ability to adapt quickly.
                                          • +
                                          • Team player, cooperative with strong interpersonal skills.
                                          -

                                          What’s in it for you?

                                          +

                                          +

                                          Travel Requirements

                                          +

                                          Some travel will be required for this role. RBC will provide adequate notification of any travel needs to allow for timely arrangements.

                                          +

                                          +

                                          +

                                          +

                                          Learn more about RBC Tech Jobs



                                          Join our Talent Community
                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 330 FRONT STREET WEST - 10th floor
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel(%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 07/14/2021
                                          Platform: Technology and Operations

                                          Req ID: 382920
                                          Ad Code(s):

                                          +

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/72188555-senior-data-architect-at-rbc,https://jobs.rbc.com/ca/en/job/382920/Senior-Data-Architect,expired,2021-07-12T22:34:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +cb82952c-d8ff-4331-925b-07e08741a67b,72563108,Borealis AI,Machine Learning Software Engineer,on_site,"Toronto, Montreal, Vancouver",2021-07-14T22:33:29.083Z,"

                                          What’s the opportunity?

                                          We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                          +

                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                          +

                                          Your responsibilities include:

                                          • Building machine learning-based software solutions for solving important problems;
                                          • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                          • Collaborating with research and business teams to converge on the best solutions;
                                          • Optimizing algorithms and prototypical solutions for efficient implementation;
                                          • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                          • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                          • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                          • +
                                          +

                                          You’re our ideal candidate if you:

                                          • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                          • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                          • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                          • Familiarity with the Unix command line and bash scripting;
                                          • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                          • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                          • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                          • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                          • +
                                          +

                                          What's in it for you?

                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          +

                                          How to apply:

                                          Please email your CV, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                          +

                                          About Borealis AI

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          +

                                          Inclusion and Equal Opportunity Employment

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-08-03T00:39:12.636Z,False,0,0,48,https://talenthub.vectorinstitute.ai/jobs/72563108-machine-learning-software-engineer-at-borealis-ai,,expired,2021-07-14T22:33:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f647dfa2-bab8-4239-b66c-ba98d7a91d52,72581384,Armilla AI,Senior Front-End Software Developer,temporary,"Toronto, ON, Canada",2021-07-15T00:54:28.868Z,"

                                          Job description

                                          +

                                          If you are +passionate about the creation of ethical and accountable technology, +this is a unique opportunity to help turn safe, responsible AI into a +reality. We are looking for an extremely driven Senior Front-End Software Developer to join the founding technical team and take ownership in building out our platform.

                                          +

                                          Requirements:

                                            -
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • -
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          • Develop a highly interactive and customizable frontend of the +platform for AI validation and governance with modern Javascript +technologies
                                          -

                                          How to apply:

                                          -

                                          Please email your CV and cover letter to mi.research@borealisai.com and include where you heard about this opportunity.

                                          -

                                          About Borealis AI

                                          -

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          -

                                          Inclusion and Equal Opportunity Employment

                                          -

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-09-24T16:25:37.425Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/38555032-data-engineering-lead-at-borealis-ai,,expired,2020-08-25T15:45:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Team Lead,Bachelors Degree,Re-Posting an Expired Job, -d38c5b48-46b9-4ec9-8c81-a700f5f444d8,38555136,Intact Financial Corporation,"Senior Data Scientist (Toronto), Intact Lab",on_site,"Toronto, ON, Canada",2020-08-25T16:40:02.192Z," - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                          -

                                          #IntactCareers

                                          -

                                          How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                          -

                                          With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                          -

                                          Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.

                                          -
                                          -
                                          Your Job
                                          -

                                          Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                          -

                                          Workplace: Toronto (700 University av.)

                                          -

                                          Here are a few ways you will make a difference:

                                            -
                                          • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                          • -
                                          • Transform complex databases into relevant conclusions and recommendations
                                          • -
                                          • Keep pace with new approaches and trends and use them in your own solutions
                                          • -
                                          • Help maintain our data mining tools and platforms
                                          • -
                                          • Make actionable recommendations based on the findings
                                          • -
                                          • Work with other departments to promote the adoption of analytical principles within the organization
                                          • -
                                          • Validate the quality of the analytical approach and project outputs of the other team members
                                          • -
                                          • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions
                                          • +
                                          • Implementing various analytical dashboards including the UI of scalable AI monitoring
                                          -
                                          -
                                          Your Skills
                                          -

                                          We can offer you:

                                            -
                                          • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                          • -
                                          • Opportunities to have global impact with your work
                                          • -
                                          • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                          • -
                                          • A team of great colleagues to learn with and from
                                          • -
                                          • Continuous learning
                                          • -
                                          • Flexible and friendly working environment
                                          • +
                                          • Write tests, review code, and perform iterative agile development practices
                                          -

                                          Here’s what you offer us:

                                            -
                                          • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                          • -
                                          • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                          • -
                                          • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                            • Open-source frameworks: R, Python, GitHub
                                            -
                                          • -
                                          • Expert-level understanding of the underlying theory of machine learning
                                          • -
                                          • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                          • -
                                          • Your great teamworking skills
                                          • -
                                          • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                          • -
                                          • Your strong communication, time management and work organization skills
                                          • +
                                          • Document design decisions and API descriptions
                                          -

                                          Here are a few reasons why others have joined our team:

                                            -
                                          • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                          • -
                                          • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                          • -
                                          • Flexibility in how and where you work
                                          • -
                                          • A comprehensive financial rewards program that recognizes your success
                                          • -
                                          • An extensive, flexible benefits package
                                          • -
                                          • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                          • -
                                          • A casual ‘dress for your day’ culture that encourages you to be yourself
                                          • -
                                          • A $350 annual wellness account that promotes an active lifestyle
                                          • +
                                          • Proactively look for new ideas and research/learn better technologies to advance the company’s mission
                                          -
                                          -
                                          Closing Statement
                                          -

                                          We are an Equal Opportunity Employer

                                          -

                                          At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                          -

                                          Background Checks

                                          -

                                          As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                          -

                                          Internal Candidates

                                          -

                                          For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                          -

                                          About us:

                                          -

                                          As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                          -

                                          Our people are at the heart of what we promise – getting people back on track and helping them prosper in good times and be resilient in bad times. We have over 13,000 employees who live our values every day and strive to deliver legendary service to our millions of customers across Canada and the U.S. We have many brands that are a part of the Intact family. In Canada, Intact Insurance and Brokerlink distribute insurance through a wide network of brokers, while belairdirect delivers products direct-to-consumer.
                                          In the U.S., OneBeacon Insurance Group handles our specialty insurance line of business.

                                          -

                                          #li-qc

                                          -
                                          -
                                          Referral Bonus
                                          -

                                          This role is eligible for employee referral bonus. #myReferrals3000

                                          -
                                          -
                                          Eligibility to work in Canada
                                          -

                                          It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                          -
                                          -
                                          Glassdoor Sponsored
                                          -

                                          #GD-Quebec

                                          -
                                          -

                                          ",,https://careers.intact.ca/ca/en/job/IFCOUS11883/Senior-Data-Scientist-Toronto-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-08-31T14:59:00.000Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/38555136-senior-data-scientist-toronto-intact-lab-at-intact-financial-corporation,,expired,2020-08-25T16:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, -f5ade441-402d-473c-b6ad-c663eef57714,38555139,Manulife,Data Engineer - Data Operations Team,on_site,"Waterloo, ON, Canada",2020-08-25T16:42:00.270Z,"

                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                          -

                                          -

                                          Job Description

                                          -

                                          -

                                          The Data Operations team is a unique, multi-faceted team that delivers shared services as well as project work. As such we work closely with all the teams within Canada Data Office to ensure best practices, product delivery, innovation & optimization of code and infrastructure. We partner closely with the Data Architecture team to enable strategic / foundational as well as business-driven objectives. The Data Engineer will play a key role in all aspects of shared service such as building and maintaining DevOps / DataOps pipelines, as well as product delivery that requires building out data pipelines for consumption & visualization.

                                          -

                                          -

                                          Responsibilities for this role include:

                                          -

                                          -

                                          • Builds, codes, tests, maintain high quality software with a focus on implementing best practice and industry standards
                                          • Participates in Agile sprints and ceremonies; partakes in good documentation and follow disciplined approaches for timely delivery & communication of project progress

                                          -

                                          • Initialize and manage cloud platforms especially Azure
                                          • Works closely with data architects to implement / optimize frameworks for improved efficiencies and modernizing applications within CDO

                                          -

                                          • Develops & maintains DevOps & data pipelines, application framework, infrastructure for data generation. Investigate and analyze root cause/issues of the failures. Ex. data, source feeds, etc.

                                          -

                                          • Contribute to release management and access control management

                                          -

                                          • Contribute to the governing of best coding practices; identifying and implementing internal process improvements

                                          -

                                          • Contributes to the success of a team, demonstrates high respect for the team and sets high self-expectations

                                          -

                                          • Provide training, collaborate with team members; coach and be coached, participate in code reviews, share skills and methodologies to upskill CDO

                                          Job Requirements for this role are as follows:

                                          -


                                          • Demonstrated 3-5 years of professional experience in related industry with experience in platform or application support and including a University degree and or master’s degree in Engineering, Computer Science or equivalent quantitative program

                                          -

                                          • Strong working knowledge of agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features
                                          • Experience with implementing data quality/metadata solutions; Analytics and Business Intelligence technologies such as PowerBI, DB Visualizer, etc.

                                          -

                                          • Experience in writing SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments

                                          -

                                          • Understanding of software development lifecycle & respect for the benefits that can be gained through SDLC
                                          • Understanding of how technology supports Manulife business strategy
                                          • Familiar with big data technologies such as Hadoop, CDP, tools & techniques for data ingestion, data modeling & transformation: Sqoop, Nifi, Python, Spark, Snowflake, conceptual & physical data modeling
                                          • Familiar with technologies such as: Informatica

                                          -

                                          • Familiar with scripting languages
                                          • Staying abreast of developments in own technical discipline and able to recognize and translate these to own working env't
                                          • Participates in functional demos utilizing new tech; less controls required
                                          • Constantly learns from both success and failure, lead and follow seamlessly
                                          • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                          • Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes
                                          • Experiments with emerging technologies and understanding how they will impact what comes next.

                                          -

                                          -

                                          This is a full time permanent role that can be worked from our Toronto and Waterloo office.

                                          -

                                          -

                                          -


                                          If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                          -


                                          About Manulife

                                          -

                                          Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                          -



                                          -

                                          Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                          ",,https://jobs.manulife.com/ShowJob/JobId/969781/DataEngineerDataOperationsTeam,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-25T13:07:07.143Z,False,0,2,48,https://talenthub.vectorinstitute.ai/jobs/38555139-data-engineer-data-operations-team-at-manulife,,expired,2020-08-25T16:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -97d02c73-b5a6-462f-9411-23036a8f3929,89451858,Loblaw Companies Ltd.,"CO-OP, Machine Learning Software Developer",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-10-18T17:54:22.637Z,"
                                          +
                                            +
                                          • Efficiently work with AI researchers, business leaders, and other technical members
                                          • +
                                          +
                                            +
                                          • Must be able to take ownership of work to build excellent products
                                          • +
                                          +
                                            +
                                          • Work experience in highly-regulated industry (e.g. financial institutions) is a nice-to-have
                                          • +
                                          +

                                          Qualifications and Skills:

                                          +
                                            +
                                          • 3+ years of experience as a front-end developer
                                          • +
                                          +
                                            +
                                          • Strong experience with Javascript frameworks such as React/Angular, or similar
                                          • +
                                          +
                                            +
                                          • Experience related to js plotting tools such as D3, etc. is a must
                                          • +
                                          +
                                            +
                                          • Experience with CI/CD tools such as Jenkins, GitLab
                                          • +
                                          +
                                            +
                                          • Working experience with typescript
                                          • +
                                          +
                                            +
                                          • Solid foundation in Computer Science concepts, design principles and data structures
                                          • +
                                          +
                                            +
                                          • A proactive interest in aesthetic design and attention to detail
                                          • +
                                          +
                                            +
                                          • Willingness to work on AI/Machine Learning products (no experience in AI is needed)
                                          • +
                                          +

                                          Experience with developing in Python is a plus

                                          +

                                          This is a full-time position located in Toronto, ON and is +temporarily remote. In early 2022, we expect to be transitioning +employees into our offices in the downtown core 2-3 days per week, for +creative collaboration, high value team dynamics, sharing and learning.

                                          +

                                          Armilla is a highly-inclusive company. This opportunity invites any +qualifying candidate to join a well-funded startup as part of the +technical founding team and build products that ensure responsible, +ethical, and efficient governance of AI.

                                          ",dclarkson@armilla.ai,,dclarkson@armilla.ai,https://www.armilla.ai/,,,2021-08-14T14:25:53.850Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/72581384-senior-front-end-software-developer-at-armilla-ai,,expired,2021-07-15T00:54:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Software,Mid-Senior Level,College Diploma,New Posting, +44f314a9-f98c-495f-b0fc-c7fd9e64bd6e,72581747,Armilla AI,Lead Full Stack Python Developer,on_site,"Toronto, ON, Canada",2021-07-15T00:58:15.846Z,"

                                          If you are passionate about the creation of +ethical and accountable technology, this is a unique opportunity to help + turn safe, responsible AI into a reality. We are looking for an +extremely driven Lead Full Stack Python Developer to join the founding technical team and take ownership in building out our platform.

                                          +

                                          Requirements:

                                          +
                                          • Help develop a robust platform in Python for AI validation and governance
                                          +
                                          • Write tests, review code, and perform iterative agile development practices
                                          +
                                          • Document design decisions and API descriptions
                                          +
                                          • Proactively look for new ideas and research/learn better technologies to advance the company’s mission
                                          +
                                          • Efficiently work with AI researchers, business leaders, and other technical members
                                          +
                                          • Must be able to take ownership of work to build excellent products
                                          +
                                          • Work experience in highly-regulated industry (e.g. financial institutions) is a nice-to-have
                                          +

                                          Qualifications and Skills:

                                          +
                                          • 3+ years of software development experience in Python and it’s ecosystems (including Django, Python scientific libraries, etc)
                                          +
                                          • Experience with Javascript frameworks such as React/Angular, or similar
                                          +
                                          • Experience related to js plotting tools such as D3
                                          +
                                          • Experience with CI/CD tools such as Jenkins, GitLab
                                          +
                                          • Solid foundation in Computer Science concepts, foundational algorithms, design patterns and common architectures
                                          +
                                          • Demonstrable knowledge of effective Python design principles and data structures
                                          +
                                          • Must demonstrate experience with sql/no-sql databases (Postgres, mariadb etc.)
                                          +
                                          • Industry experience in developing robust, scalable, and maintainable software
                                          +
                                          • Familiar with cloud, big-data, and microservice architectures
                                          +
                                          • Willingness to work on AI/Machine Learning products (no experience in AI is needed, but a nice-to-have)
                                          +
                                          • Experience with developing in other languages is a plus
                                          +

                                          This + is a full-time position located in Toronto, ON and is temporarily +remote. In early 2022, we expect to be transitioning employees into our +offices in the downtown core 2-3 days per week, for creative +collaboration, high value team dynamics, sharing and learning.

                                          +

                                          Armilla + is a highly-inclusive company. This opportunity invites any qualifying +candidate to join a well-funded startup as part of the technical +founding team and build products that ensure responsible, ethical, and +efficient governance of AI.

                                          ",dclarkson@armilla.ai,,dclarkson@armilla.ai,https://www.armilla.ai/,,,2021-08-14T14:26:00.000Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/72581747-lead-full-stack-python-developer-at-armilla-ai,,expired,2021-07-15T00:58:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Software,Team Lead,College Diploma,New Posting, +b7d98aa4-fe93-49cd-97d3-cfc6852f4ffd,72659486,Loblaw Companies Ltd.,"Senior Data Analyst, Data Management",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-07-15T15:27:01.588Z,"

                                          Referred applicants should not apply directly to this role.

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                          Why is this role important?

                                          -

                                          Term Length: 4 months

                                          -

                                          Term Start: Jan 10th, 2022

                                          -

                                          Term End: April 22nd 2022

                                          -

                                          _______________________________

                                          -

                                          *COVID Vaccination Status / Return to Office*:

                                          -

                                          COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                          -

                                          -

                                          In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Store Support employees will be required either to be fully vaccinated or undergo

                                          -

                                          regular COVID-19 Rapid Antigen Screening, paid for by the company, in order to access the workplace.

                                          -

                                          ________________________________

                                          -

                                          Our customers are provided meaningful digital advertising, offers and targeted recommendations to help deliver the best shopping experience to our customers. We generate recommendations based on our sales transactional data from our e-commerce and brick-&-mortar retail stores to effectively reach our customers.

                                          +

                                          Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for innovative, talented, and energetic people to help bring our Data Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way! If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                          -

                                          What you will do:

                                          +

                                          The Data Insights & Analytics team at Loblaw is seeking a Senior Data Analyst with background in big data, cloud and relational databases. We are currently in the process of modernizing the data infrastructure onto cloud technologies to unlock the value of our data and drive richer insights to our business partners.

                                          +

                                          +

                                          Reporting to the Senior Manager, Data Insight & Analytics, the incumbent will support large data initiatives by leveraging their expertise in obtaining, analyzing and manipulating data to identify insights and data patterns. He or she will be responsible for creating and maintaining data requirements, transformations and system documentation.

                                          +

                                          What You'll Do:

                                            -
                                          • Build, manage and deploy machine learning models using Big Data & ML-Op tools
                                          • -
                                          • Design, troubleshoot, and develop products to solve critical business problems
                                          • -
                                          • Work with data scientist, machine learning engineers, applied researchers collaboratively using GCP, Databricks, and agile methodologies.
                                          • -
                                          • Implement complex data pipelines to create a machine learning enabled processes that help drive the business
                                          • +
                                          • Responsible for the extraction and analysis of complex information from a variety of databases.
                                          • +
                                          • Provide support to Data Governance initiatives such as data quality, data lineage and metadata management.
                                          • +
                                          • Transform extracted data from large and disconnected datasets into insights suitable for presentation to various audiences.
                                          • +
                                          • Develop capabilities to identify areas of opportunity and improve business processes, data architecture and reporting efficiency.
                                          • +
                                          • Work collaboratively with business and analytics groups, on cross functional projects and data initiatives to solve business problems.
                                          • +
                                          • Extract, review and prepare data for analysis & reporting using SQL and/or Python.
                                          • +
                                          • Creation of UML diagrams including but not limited to sequence and data flow diagrams.
                                          • +
                                          • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information.

                                          -

                                          Ideal Experience and/or Capabilities:

                                          +

                                          What You'll Bring:

                                            -
                                          • Technical Skills:
                                          • -
                                          • Familiarity with statistical methods and linear algebra
                                          • -
                                          • Proficient in at least 1 compiled language, and at least 1 other programming language
                                          • -
                                          • Familiar with the concepts and idioms of functional programming
                                          • -
                                          • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                          • -
                                          • Working experience with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                          • -
                                          • DAG orchestrations using workflow management systems – Airflow, Luigi
                                          • -
                                          • DevOps experience with Docker, Git (GitLab)
                                          • -
                                          • Experience with cloud environments such as Databricks/GCP/Azure
                                          • -
                                          • Soft Skills:
                                          • -
                                          • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                          • -
                                          • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                          • -
                                          • Extremely well organized, proactive.
                                          • -
                                          • Ability to multi-task and prioritize workloads.
                                          • -
                                          • Agile & design thinking methodologies or frameworks
                                          • -
                                          • Comfortable navigating medium-to-large codebases
                                          • -
                                          • Comfortable with fundamental Data structures
                                          • +
                                          • Mandatory: Advanced SQL querying for data mining, extraction and preparation.
                                          • +
                                          • University Degree in Computer Science, Statistics, Mathematics or Information Systems is preferred.
                                          • +
                                          • Minimum 5 years of experience in utilizing advanced data extraction and manipulation tools (MS SQL, Teradata, etc.).
                                          • +
                                          • Minimum 5 years of experience in Data mining working with large relational databases.
                                          • +
                                          • Technical background with a solid understanding of database design is an asset.
                                          • +
                                          • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                          • +
                                          • Experience with Cloud technologies (GCP, Azure) is an asset.
                                          • +
                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data.
                                          • +
                                          • Demonstrated knowledge of the data management lifecycle, including experience with data quality and metadata management.
                                          • +
                                          • Experience in conducting business analysis to gather requirements from non-technical stakeholders.
                                          • +
                                          • A Team player and self-starter with the ability to take initiative, multi-task and work in a fast-paced environment.
                                          • +
                                          +

                                          +

                                          What You Can Expect:

                                          +

                                          We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                          +

                                          +

                                          Other perks of joining Loblaw:

                                          +
                                            +
                                          • Competitive compensation and benefits package
                                          • +
                                          • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                          • +
                                          • A flexible work environment which values balance
                                          • +
                                          • Colleague Discount Program
                                          • +
                                          • Tuition reimbursement Program
                                          • +
                                          • Employee Share Ownership plan
                                          • +
                                          • Pension Plan

                                          +

                                          If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                          We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                          +

                                          +

                                          #LI-FF1

                                          How You’ll Succeed:

                                          At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                          @@ -7604,2326 +7675,2789 @@ f5ade441-402d-473c-b6ad-c663eef57714,38555139,Manulife,Data Engineer - Data Oper

                                          Employment Type:

                                          Full time

                                          -

                                          Type of Role:

                                          Temporary (Fixed Term)

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                          +

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                          -
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Machine-Learning-Software-Developer_R2000216661,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-10-21T18:00:19.511Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/89451858-co-op-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Machine-Learning-Software-Developer_R2000216661,expired,2021-10-18T17:54:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, -5edb5e1a-7859-45d4-9f79-0dc526df1d62,89481639,RBC,Data Analyst - Winter 2022 Co-op,on_site,"Home office, Ontario, Canada",2021-10-19T02:39:23.580Z,"
                                          -

                                          What is the opportunity?

                                          -

                                          Are you a student interested in Actuarial Sciences, Technology, or Mathematics? Are you available for a 8 or 12 month work term starting in January? If you answered yes to all these questions, we have an exciting opportunity for you available in RBC Insurance!

                                          -

                                          -

                                          RBC Insurance, through its operating entities, provides a wide range of travel, life, health, home, auto, wealth and insurance products and solutions. Also, it offers creditor and business reinsurance services to both individual and group clients. We are one of the largest insurance companies within a Canadian bank and among the fastest growing insurance organizations in the country. RBC Insurance employs more than 3,200 employees around the globe, and is the brand name for the insurance operating entities of Royal Bank of Canada.

                                          -

                                          -

                                          What will you do?

                                          +
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000206175,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-08-05T15:41:09.170Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/72659486-senior-data-analyst-data-management-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000206175,expired,2021-07-15T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +859688ba-7c97-4f68-aad4-6847bbd60e8c,72793521,Canadian Institute for Health Information,"Senior Analyst, Advanced Analytics ",on_site,"Ottawa, ON, Canada",2021-07-16T12:43:12.264Z,"

                                          Who we are

                                          +

                                          We are an organization comprised of industry thought leaders who are passionate about health data and want to make a difference in the health care field. We are an independent, not-for-profit organization and together with our partners we provide essential information on Canada's health systems, enabling decisions that lead to healthier Canadians. As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution of Canada's health care systems.

                                          +

                                          CIHI is recognized as an exceptional place to work that embraces diversity, respect, integrity, collaboration and innovation.

                                          +

                                          At CIHI, we recognize what matters to our employees. Some of the benefits of working at CIHI include

                                            -
                                          • Work within a dynamic environment where you are encouraged to aid in process improvement and work with autonomy
                                          • -
                                          • Develop processes and procedures for longevity insruance
                                          • -
                                          • Maintain and develop internal relationships
                                          • -
                                          • Input and analyze key business metrics
                                          • -
                                          • Resolve queries in a professional manner
                                          • -
                                          • Support and mentor team members
                                          • +
                                          • Generous vacation days
                                          • +
                                          • Flexible benefits program from your first day on the job
                                          • +
                                          • HOOPP Pension Plan (Defined Pension)
                                          • +
                                          • Retirement Planning Program
                                          • +
                                          • Work-life balance
                                          • +
                                          • Career Planning Program
                                          • +
                                          • Learning and Professional Development Program
                                          -

                                          -

                                          What do you need to succeed?

                                          -

                                          Must-have

                                          +

                                          Why is this role important?

                                          +

                                          The Senior Analyst contributes to the development of software models and tools to forecast health services needs and utilization, for use in informing heath policy, health systems, and the delivery of health services in Canada. The Senior Analyst supports the learning and development of advanced machine learning techniques across CIHI analytical staff, and provides statistical and methodological advice and technical expertise as part of collaboration with other organizational units. Key projects currently include predicting personalized emergency department wait time, predicting resource demand for influenza and other diseases, and supporting Data Science Learning Program for CIHI’s analyst staff.

                                          +



                                          What you'll do

                                          +
                                            +
                                          1. Supports the development of complex analysis of health data to understand stakeholder problems and develop solutions.
                                          2. +
                                          3. Supports the development of statistical and machine learning models for forecasting supply and demand of health services, and cross-sector service access and flows.
                                          4. +
                                          5. Effectively communicates analytical results by translating statistical learnings into business language to increase the impact of the analysis.
                                          6. +
                                          7. Supports the preparation of documentation, reports, presentations and discussion papers related to projects and activities.
                                          8. +
                                          9. Works closely with internal team members and external partners to ensure project deliverables are completed on time.
                                          10. +
                                          11. Contributes to creation of learning opportunities and knowledge sharing to CIHI staff in the areas advanced analytics, statistical and machine learning methods and data visualization.
                                          12. +
                                          13. Provides methodological and data quality advice in focused area(s) of expertise.
                                          14. +
                                          15. Ensures that quality of products and activities meet CIHI standards (e.g. quality, privacy, security, ethics).
                                          16. +
                                          +



                                          What you'll bring to the table

                                            -
                                          • Experience using Python, R Programming, MS Access (SQL) and VBA
                                          • -
                                          • Experience in the creation of databases, ensuring security, data integrity and restoration controls
                                          • -
                                          • Knowledge of OLTP and OLAP database processing
                                          • -
                                          • Strong teamwork and collaboration skills
                                          • -
                                          • Strong analytical and problem solving skills
                                          • +
                                          • Extensive working experience with Python and R to manipulate data and draw insights from large datasets. Experience with SAS is an asset.
                                          • +
                                          • Strong problem solving skills, with an emphasis on developing products and services to support stakeholder business decisions.
                                          • +
                                          • Strong organizational skills with a demonstrated ability to manage multiple tasks and priorities.
                                          • +
                                          • Strong interpersonal and presentation skills are essential, including the ability to communicate (both orally and in writing) complex ideas in simple terminology.
                                          • +
                                          • Proven ability to work as part of a team, and to work with minimal supervision.
                                          • +
                                          • Teaching experience in higher education is an asset.
                                          • +
                                          • Experience with federal, provincial, or hospital healthcare datasets is an asset.
                                          • +
                                          • Familiarity with AWS, Google Cloud, or Microsoft Azure is an asset.
                                          • +
                                          • Understanding of Canada's federal and provincial healthcare systems is an asset.
                                          • +
                                          • Fluency in English required, bilingualism is an asset
                                          -

                                          -

                                          Nice-to-have

                                          +



                                          Basic Qualifications

                                            -
                                          • Data analytics knowledge
                                          • -
                                          • Experience with End User Reporting Tools (ex. Tableau)
                                          • -
                                          • Knowledge of game theory and competitor analysis frameworks
                                          • +
                                          • Undergraduate degree in Mathematics, Statistics, Biostatistics, Economics, Computing Science, Data Science, or related field or equivalent experience. Graduate degree is an asset.
                                          • +
                                          • A minimum of three years’ experience performing analysis statistical and machine learning techniques such as forecasting, statistical inference, regression, tree-based ensemble methods (random forest, gradient boosting), neural networks, natural language processing, and data visualization.
                                          • +
                                          +

                                          +

                                          *Please note this role can report into our Ottawa or Toronto Office.

                                          Closing Statement

                                          +

                                          To find out more about this role and other exciting opportunities visit our website at www.cihi.ca and check out our 'Careers' section.

                                          +

                                          We thank all those who apply, however, only candidates selected for an interview will be contacted.

                                          Employment Equity

                                          +

                                          At CIHI we are committed to fostering an inclusive, barrier-free and accessible environment. Part of this commitment includes arranging accommodations to ensure an equitable opportunity to participate in the recruitment and selection process. If you require an accommodation, we will work with you to meet your needs.

                                          +

                                          ",msaikali@cihi.ca,,msaikali@cihi.ca,http://www.cihi.ca/careers,,,2021-08-15T13:31:32.251Z,False,0,2,38,https://talenthub.vectorinstitute.ai/jobs/72793521-senior-analyst-advanced-analytics-at-canadian-institute-for-health-information,,expired,2021-07-16T12:43:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +9824832d-751e-4561-8121-2f9590da5a8b,73118756,RBC,"Manager, CBO Data & Analytics COE",on_site,"Toronto, Ontario, Canada",2021-07-19T22:35:11.716Z,"
                                          +

                                          What is the opportunity?

                                          +

                                          +

                                          You will play a key role in CBO (Canadian Banking Operations) Data & Analytics COE to support a number of strategic priorities which advance data analytics and governance capability in Operations. The role will lead and participate in a number of initiatives to work with our key business and enterprise partners to analyze large data sets, create/scale data science models, document data dictionary and lineage and support data pipelines for prioritized use cases.

                                          +

                                          +

                                          What you will do:

                                          +
                                            +
                                          • Work with large data sets (both structured and unstructured) across multiple source systems for extraction, processing, exploration and analysis
                                          • +
                                          • Supporting engineering of data pipelines end to end to support prioritized business insight use cases
                                          • +
                                          • Build and apply advanced statistical and deep learning models (data mining, forecasting, supervised machine learning, natural language processing etc.) as appropriate to test business hypotheses and built data products
                                          • +
                                          • +Data storage management. Gather, combine and aggregate data from different data sources into Cloud and standardized CBO data storage.
                                            +
                                          • +
                                          +

                                          Must have:

                                          +
                                            +
                                          • Experience with Python, SQL programming
                                          • +
                                          • Strong data profiling, cleaning, and mining skills. Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
                                          • +
                                          • Strong communication skills both written and verbal

                                          -

                                          What’s in it for you?

                                          -

                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                          +

                                          Nice to have:

                                            -
                                          • Leaders who support your development through coaching and managing opportunities
                                          • -
                                          • Ability to make a difference and lasting impact
                                          • -
                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                          • +
                                          • Experience with Hadoop Data Lake, Datameer
                                          • +
                                          • Experience with Tensorflow or PyTorch
                                          • +
                                          • Relevant Cloud certification
                                          • +
                                          • Knowledge of Kafka
                                          • +
                                          • Experience in business ops centers or national office functions around forecasting and capacity planning

                                          -

                                          We encourage you to apply as soon as possible as we accept applications on a rolling basis. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                          +

                                          What is in it for you?
                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                          - Leaders who support your development through coaching and managing opportunities
                                          - Ability to make a difference and lasting impact
                                          - Work in a dynamic, collaborative, progressive, and high-performing team
                                          - Opportunities to do challenging work

                                          -

                                          While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                          -

                                          About RBC

                                          -

                                          Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                          -

                                          -

                                          Get Career Alerts

                                          -

                                          Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          -

                                          -

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                          -

                                          -

                                          Inclusion and Equal Opportunity Employment

                                          -

                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          -

                                          JOB SUMMARY

                                          -

                                          City: Home office
                                          Address: Home office
                                          Work Hours/Week: 37.50
                                          Work Environment: Insurance Centre
                                          Career Level: Student Job
                                          Position Level: PL10
                                          Application Deadline: 07/08/2020
                                          Req ID: 420865

                                          -

                                          Ad Code(s):

                                          -
                                          ",,https://jobs.rbc.com/ca/en/job/420865/Data-Analyst-Winter-2022-Co-op,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/89481639-data-analyst-winter-2022-co-op-at-rbc,https://jobs.rbc.com/ca/en/job/420865/Data-Analyst-Winter-2022-Co-op,expired,2021-10-19T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -e018a93c-8618-4064-90d4-7254c31f5c11,89481640,RBC,"RBC Capital Markets, 2022 PEY/QUIP Program (16 months), AI Engineer",on_site,"Toronto, Ontario, Canada",2021-10-19T02:39:23.644Z,"
                                          -

                                          The nature of finance is changing, and RBC Capital Markets is looking to recruit the next generation of talented computer scientists and mathematicians to build cutting-edge electronic trading algorithms.

                                          -

                                          RBC Capital Markets, 2022 PEY/QUIP Program (16 months), AI Engineer

                                          +

                                          About RBC
                                          Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                          -

                                          At RBC Capital Markets, AI and machine learning are powering the next generation of digital trading and analytics solutions for our clients. Developers and AI Engineers on our Toronto Trade Floor are at the center of this effort, applying cutting-edge methods utilizing the latest hardware to drive meaningful trading insights directly to clients. Working collaboratively within global, cross-functional teams of traders, developers, and relationship managers, your technical skills, creativity, and entrepreneurial mindset will enable you to see things differently and drive initiatives to deliver value and client-driven insights for the world’s largest money managers. Get ready for a PEY experience like no other. The nature of finance is changing, and RBC Capital Markets is looking to recruit the next generation of AI engineers and quantitatively-minded developers to build cutting-edge digital analytics solutions.

                                          +

                                          Get Career Alerts
                                          Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                          +

                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                          -

                                          What will you do?

                                          +

                                          Inclusion and Equal Opportunity Employment
                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          +

                                          +

                                          +

                                          JOB SUMMARY

                                          +

                                          City: Toronto
                                          Address: 88 Queens Quay West
                                          Work Hours/Week: 37.5
                                          Work Environment: Office
                                          Employment Type: Permanent
                                          Career Level: Experienced Hire/Professional
                                          Pay Type: Salary + Variable Bonus
                                          Required Travel (%): 0-25
                                          Exempt/Non-Exempt: N/A
                                          People Manager: No
                                          Application Deadline: 08/06/2021
                                          Req ID: 388599

                                          +

                                          Posting Notes:

                                          +
                                          ",,https://jobs.rbc.com/ca/en/job/388599/Manager-CBO-Data-Analytics-COE,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-26T22:40:04.001Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/73118756-manager-cbo-data-analytics-coe-at-rbc,https://jobs.rbc.com/ca/en/job/388599/Manager-CBO-Data-Analytics-COE,expired,2021-07-19T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +744ab63d-639a-4f67-90af-fe63bf3e60c2,73330126,Unity Health Toronto,System Administrator - General Medicine Inpatient Initiative (GEMINI),temporary,"Toronto, ON, Canada",2021-07-21T16:41:08.622Z,"

                                          GEMINI is Canada’s largest hospital patient data repository for research and currently holds data on >400,000 hospital admissions from 8 Ontario hospitals and is growing to include >30 hospitals by the end of 2021. The GEMINI data platform supports the Ontario General Medicine Quality Improvement Network (GeMQIN), a provincial network led by Ontario Health (OH, formerly Health Quality Ontario) to improve care for general medicine hospital patients. Our vision is a collaborative hospital data and analytics platform to accelerate research and quality improvement for excellent hospital care.

                                          +

                                          We are looking to hire a System Administrator to join the GEMINI team and provide technical guidance and support of a truly unique data platform in the Canadian healthcare landscape. This role involves managing all of GEMINI’s systems including a high performance computing cluster environment, conducting administrative responsibilities, monitor servers for optimal performance, and maintaining a secure environment. They will be required to troubleshoot problems as they arise, provide support in a timely manner, and assist other activities as requested by the Manager including implementing new initiatives.

                                          +

                                          This is a demanding role requiring a high degree of independence to problem solve and troubleshoot in a fast-paced research work environment. Strong interpersonal and communication skills are also important assets in this role to work with a non-technical and technical audience. We are looking for a candidate with excellent technical skills and strong analytical and organization skills. You will be joining a fun and dynamic team that is highly motivated and share a passion for making an impact in the Canadian healthcare domain. This is a one-year contract position.

                                          +

                                          +

                                          Duties:

                                          +

                                          System maintenance and administration responsibilities (60%):

                                            -
                                          • Apply unconventional and innovative machine learning techniques to solve cutting-edge business problems
                                          • -
                                          • Use your critical thinking and problem solving skills to improve the performance of reinforcement learning algorithms and integrate AI in client-focused applications
                                          • -
                                          • Develop key support systems to help train, and explain the actions of our reinforcement learning algorithms
                                          • -
                                          • Collaborate with traders and subject matter experts across the trade floor
                                          • -
                                          • Be challenged to think critically within a collaborative team working on Canada’s largest trade floor
                                          • +
                                          • Perform Linux OS installation, configuration, evaluation, upgrading, patching, monitoring, and troubleshooting
                                          • +
                                          • Manage and monitor all production-related systems and respond quickly and decisively as issues arise to bring about a quick resolution.
                                          • +
                                          • Deploy and configure server services to include LDAP, FTP, SFTP, FTPS, CRON, NFS, DNS and ensure their availability and stability.
                                          • +
                                          • Work with DB teams to optimize Postgresql Database Server(s) performance and related requirements, such as CPU cores, shared memory, disk space extension.
                                          • +
                                          • Leverage Bash, Perl, Python, or other scripting skills as needed to provide systems-level automation for recurring tasks and functions.
                                          • +
                                          • Handle the creation of user accounts on the directory service, and access management for our various systems/software.
                                          • +
                                          • Provide incident response, diagnostic and advanced troubleshooting connectivity, credentials, and access issues and resolve them before they become noticeable.
                                          • +
                                          • Create playbooks and deploy them via tools such as Ansible.
                                          • +
                                          • Occasionally deploy services to LXD/Docker containers
                                          -

                                          -

                                          Core Competencies:

                                          +

                                          Support, troubleshooting, and leadership responsibilities (30%):

                                            -
                                          • Creative and novel problem solving approach
                                          • -
                                          • Programming experience in machine learning framework (Python preferred)
                                          • -
                                          • Proficiency in optimization and Bayesian statistics
                                          • -
                                          • Interest in developing reinforcement learning models
                                          • -
                                          • Strong desire to be part of a team and excellent communication skills
                                          • -
                                          • Experience in finance not required
                                          • +
                                          • Provide high-level technical guidance to the team, in the design of new systems and solutions to streamline workflows and operations.
                                          • +
                                          • Assist other members of the team with resolving technical issues when needed expertise exceeds their skill set.
                                          • +
                                          • Actively participate in meetings, and provide constant updates and feedback to the team on actions being taken and blockers encountered.
                                          • +
                                          • Maintain active involvement in designated activities of new projects going live
                                          • +
                                          • Provide knowledge transfer and technical training of our systems to partners and stakeholders as needed.
                                          • +
                                          • Provide leadership in problem-solving, incident identification and resolution.
                                          -

                                          -

                                          -

                                          About RBC
                                          Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.

                                          We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-sustainability.



                                          Inclusion and Equal Opportunity Employment
                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.




                                          JOB SUMMARY
                                          City: Toronto
                                          Address: 200 Bay St
                                          Work Hours/Week: 37.5
                                          Work Environment: Trading Floor
                                          Career Level: Student Job
                                          Position Level: CM – Analyst
                                          Application Deadline: 10/24/2021
                                          Req ID: 419851

                                          -
                                          ",,https://jobs.rbc.com/ca/en/job/419851/RBC-Capital-Markets-2022-PEY-QUIP-Program-16-months-AI-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/89481640-rbc-capital-markets-2022-pey-quip-program-16-months-ai-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/419851/RBC-Capital-Markets-2022-PEY-QUIP-Program-16-months-AI-Engineer,expired,2021-10-19T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -ebdff2cb-a31e-4de1-9d9b-e143375e84ad,89491892,Borealis AI,Data Engineer,on_site,"Toronto, Ontario, Canada, Waterloo, Ontario, Canada",2021-10-19T04:46:16.109Z,"

                                          What's the opportunity?

                                          -
                                          -

                                          We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                          -

                                          Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                          -

                                          Your responsibilities include:

                                          -
                                            -
                                          • Design and build data pipelines for Borealis AI projects;
                                          • -
                                          • Build efficient data systems and abstractions for Borealis AI projects;
                                          • -
                                          • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                          • -
                                          -

                                          You're our ideal candidate if you:

                                          +

                                          Business support and technology improvement responsibilities (10%):

                                            -
                                          • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                          • -
                                          • Strong enterprise experience in designing and building data lakes;
                                          • -
                                          • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                          • -
                                          • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                          • -
                                          • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                          • -
                                          • Strong experience with the Unix command line and bash scripting;
                                          • -
                                          • Strong communication skills and a collaborative attitude.
                                          • +
                                          • Evaluating solutions for business needs and planning the design, acquisition and buildout/deployment of same.
                                          • +
                                          • Identify and develop methods and procedures to enhance system security and auditing.
                                          • +
                                          • Document systems, services and software in our environment, including Standard Operating Procedures and maintain the documentation as changes occur.
                                          • +
                                          • Keep skills and knowledge current and stay informed of new trends in the industry
                                          -
                                          -

                                          What's in it for you?

                                          +

                                          Knowledge & Skills:

                                            -
                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                          • -
                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                          • -
                                          • Leaders who support your development through coaching and managing opportunities;
                                          • -
                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                          • +
                                          • Completion of a recognized Bachelor’s degree program in Computer Science required;
                                          • +
                                          • Minimum 3 years’ experience as a Systems Administrator required;
                                          • +
                                          • Deep Linux knowledge including performance tuning, process management, LVM storage provisioning and expansion required;
                                          • +
                                          • Experience provisioning and managing Slurm clusters is ideal;
                                          • +
                                          • Programming experience with Bash shell scripting, Python, and Ansible required;
                                          • +
                                          • Demonstrated knowledge of container solutions like LXD and Docker is ideal;
                                          • +
                                          • Demonstrated experience working with VPN, DNS, FreeIPA in production required;
                                          • +
                                          • Experience with configuring and managing NGINX both as a web server and proxy required;
                                          • +
                                          • Experience with configuring and managing SQUID proxy in production required;
                                          • +
                                          • Experience with managing SonarQube Nexus required;
                                          • +
                                          • Experience with git and administering GitLab required;
                                          • +
                                          • Experience with Openstack;
                                          • +
                                          • Demonstrated knowledge of configuring and managing PostgreSQL high availability, load balancing and replication required;
                                          • +
                                          • Exceptional documentation and presentation skills required;
                                          • +
                                          • Ability to interface with other teams in a collaborative environment required;
                                          • +
                                          • Able to communicate highly technical concepts in non-technical terms required;
                                          • +
                                          • Good organizational skills. Ability to reprioritize on the fly required;
                                          • +
                                          • Able to take high level direction and execute with minimal intervention required;
                                          • +
                                          • Ability to handle situations involving unplanned outages required;
                                          • +
                                          • Ability to function within a 24/7 environment.
                                          • +
                                          ",,https://unityhealth.to/get-involved/work-at-unity-health/employment-opportunities/,amanda.chan@unityhealth.to,https://unityhealth.to/,,,2021-08-20T18:41:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/73330126-system-administrator-general-medicine-inpatient-initiative-gemini-at-unity-health-toronto,,expired,2021-07-21T16:41:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, +9e99da5e-bef0-4849-b6df-219aab93ce00,73347572,Shopify Inc.,Data Development Manager (Americas - Remote),on_site,"Toronto, ON, Canada",2021-07-21T19:47:23.627Z,"

                                          About the role

                                          +

                                          +

                                          Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:

                                          +
                                            +
                                          • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.
                                          • +
                                          • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?
                                          • +
                                          • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.
                                          • +
                                          • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.
                                          -

                                          About Borealis AI

                                          -

                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                          -

                                          Inclusion and Equal Opportunity Employment

                                          -

                                          Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                          ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-10-29T04:51:07.819Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/89491892-data-engineer-at-borealis-ai,,expired,2021-10-19T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -2217c659-d25a-4410-9a1d-cf54ae767ec2,96914625,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2021-12-02T20:32:06.554Z,"
                                          -

                                          Company Overview

                                          -
                                          -

                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                          -

                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                          -
                                          -

                                          -

                                          Department Overview

                                          -
                                          -

                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                          -

                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                          -

                                          TD Debit Fraud Performance Management strives to protect TD Bank Customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, TD Debit Fraud Performance Management develops analytics capabilities, processes, and layers of defense to mitigate fraud. The team operates within Enterprise Protect requiring both strategic and tactical responses to ever-changing fraud patterns and provides a unique opportunity to apply critical thinking and analytical skills in a fast-paced environment.

                                          -
                                          -

                                          -

                                          Job Description

                                          -
                                          -

                                          As the Senior Business Insights Analyst, you will be responsible for developing, implementing, and monitoring strategies to manage evolving fraud trends, taking into consideration TD Bank risk appetite, Customer and operational experience. You will build on your deep analytics experience and process mindset to :

                                          -
                                            -
                                          1. Anticipate and explain potential fraud risks
                                          2. -
                                          3. Identify and develop defenses against emerging fraud trends
                                          4. -
                                          5. Understand and actively manage the operational impacts of our fraud defense strategies
                                          6. -
                                          -

                                          The successful candidate will :

                                          -
                                            -
                                          • Review daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and Customer experience
                                          • -
                                          • Own the strategy design and configuration in all fraud prevention platforms (e.g., PRM, VRM, and Cardinal)
                                          • -
                                          • Provide insights and ad-hoc analyses to support decision-making at the executive level
                                          • -
                                          • Leverage subject matter expertise to independently investigate new, high-risk exposures under tight timelines
                                          • -
                                          • Produce timely diagnostics to identify system, strategy, and operational issues
                                          • -
                                          • Participate in defect analysis to identify and remediate coverage gaps
                                          • -
                                          -

                                          -
                                          -

                                          -

                                          Requirements

                                          -
                                          -

                                          Job Requirements

                                          -
                                            -
                                          • Passion in analytics with a Customer-first mindset
                                          • -
                                          • Ability to effectively manage competing priorities in a fast-paced environment
                                          • -
                                          • Detail oriented, tech-savvy, and proficient working with big data
                                          • -
                                          • Advanced SQL, Excel, and applied R or Python experience
                                          • -
                                          • Demonstrated experience of developing and implementing models
                                          • -
                                          • Ability to “tell the story” to both technical and non-technical team members
                                          • -
                                          • Ability to take initiative and work independently under tight timelines
                                          • -
                                          • Ability to work collaboratively and build relationships
                                          • -
                                          • Undergraduate degree or technical certificate (e.g., engineering, mathematics, statistics, computer science, or analytics)
                                          • -
                                          • Three or more years of work experience in an analytical capacity
                                          • -
                                          -

                                          Preferable

                                          -
                                            -
                                          • Experience in fraud management, PRM is an asset
                                          • -
                                          • Automation experience is an asset
                                          • -
                                          -
                                          -

                                          -

                                          Additional Information

                                          -
                                          #tdcybersecurity
                                          -

                                          -

                                          Hours

                                          -
                                          37.5
                                          -

                                          -

                                          Inclusiveness

                                          -

                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                          -

                                          -
                                          ",,https://jobs.td.com/en-CA/jobs/14412750/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-05T15:53:20.265Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/96914625-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14412750/sr-business-insights-analyst-markham-ca/,expired,2021-12-02T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -db53537a-51da-4e4d-98e1-1835fabd2cde,101620553,Loblaw Companies Ltd.,Data Scientist,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:03.067Z,"
                                          -
                                          -
                                          -

                                          Referred applicants should not apply directly to this role.

                                          -

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          -

                                          -

                                          -

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          -

                                          -

                                          Inspired by food? Committed to excellent service? So are we.
                                          At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                          We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                          Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                          -

                                          -

                                          Why is this role important?

                                          -

                                          -

                                          Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                          -

                                          If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                          -

                                          -

                                          The Discount Analytics team at Loblaw is hiring a Data Scientist with experience in applied research and problem solving. The incumbent will be responsible for conducting analyses and develop impactful models and solutions to help solve a wide variety of data science problems.

                                          -

                                          -

                                          The successful candidate will have experience with identifying needs and creating process improvement solutions, working with multiple stakeholders and maintaining collaborative relationships with business partners. The candidate should have solid working knowledge of Python and SQL. Process automation and software engineering skills are an asset. The candidate will be a self-starter who has passion for providing various ways to improve effectiveness within the business. This is a hands-on role and requires applying analytic techniques to solve real-world problems and challenges.

                                          -

                                          -

                                          What You'll Do:

                                          -

                                          -
                                            -
                                          • Meet with various business units to understand their existing processes and identify areas of opportunities and improvement
                                          • -
                                          • Work effectively in cross-functional teams
                                          • -
                                          • Increase internal adoption of test design, statistical measurement and advanced analytics methodologies
                                          • -
                                          • Stay up-to-date and implement the best data and software development (SQL, Python, ML) approaches
                                          • -
                                          • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                          • -
                                          -

                                          -

                                          What You'll Bring:

                                          -

                                          -
                                            -
                                          • University, Master or Ph.D. degree in an analytical field of study (e.g. Engineering, Mathematics, Statistics, Economics, Computer Science, Industrial Psychology or other relevant fields).
                                          • -
                                          • 3+ years of work experience directly related to quantitative analysis with proven results
                                          • -
                                          • Experience in SQL, Python, and PySpark
                                          • -
                                          • Experience working in cloud environments, with a preference for GCP
                                          • -
                                          • Experience in analytical roles working with large data sets and analytic tools, and some subset of the following: scikit-learn, Tensorflow, PyTorch
                                          • -
                                          • Experience in software engineering is an asset
                                          • -
                                          • Critical thinking, problem-solving, storytelling skills
                                          • -
                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                          • -
                                          • Strong detail orientation is essential in this role
                                          • -
                                          • A team player and self-starter
                                          • -
                                          -

                                          -

                                          COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                          -

                                          -

                                          In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                          -

                                          -

                                          -

                                          -

                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                          -

                                          -

                                          -

                                          -

                                          Employment Type:

                                          Full time

                                          -

                                          -

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                          -

                                          -

                                          Please Note:  
                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                          -
                                          -
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist_R2000226486?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-05T18:30:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/101620553-data-scientist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist_R2000226486?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, -9b08bace-080b-4afd-a2d7-d8c958aecade,101620554,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:03.339Z,"
                                          -
                                          -
                                          -

                                          Referred applicants should not apply directly to this role.

                                          -

                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                          -

                                          -

                                          -

                                          Location:

                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                          -

                                          -

                                          Inspired by food? Committed to excellent service? So are we.
                                          At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                          We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                          Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                          -

                                          -

                                          Why is this role important?

                                          -

                                          -

                                          Why This Role is Important:

                                          -

                                          -

                                          Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                          -

                                          If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                          -

                                          The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                          -

                                          -

                                          What You'll Do:

                                          -
                                            -
                                          • Responsible for the extraction and analysis of complex information from a variety of databases.
                                          • -
                                          • Support initiatives to make business partners more self-sufficient.
                                          • -
                                          • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                          • -
                                          • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                          • -
                                          • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                          • -
                                          • Analyze data to help determine insights to solve business problems or identify new opportunities
                                          • -
                                          • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                          • -
                                          • Actively identify and execute initiatives to improve process and data infrastructure
                                          • -
                                          • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                          • -
                                          • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                          • -
                                          • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                          • -
                                          • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                          • -
                                          -

                                          -

                                          What You'll Bring:

                                          +

                                          Your role:

                                            -
                                          • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                          • -
                                          • Programming skills with SQL, Python, PySpark
                                          • -
                                          • In-depth knowledge of predictive modelling, machine learning modelling
                                          • -
                                          • Experience in utilizing advanced SQL data extraction and manipulation tools
                                          • -
                                          • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                          • -
                                          • Retail analytics experience with a marketing focus preferred
                                          • -
                                          • In-depth knowledge of pattern recognition models is an asset.
                                          • -
                                          • Data mining experience working with a large relational customer database
                                          • -
                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                          • -
                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                          • -
                                          • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                          • -
                                          • Strong detail orientation is essential in this role
                                          • -
                                          • A team player and self-starter
                                          • -
                                          • Advanced MS Office skills (Excel, Word)
                                          • +
                                          • Providing people and technical leadership within your team to support the mission of the Data Platform Engineering group.
                                          • +
                                          • Working closely with a cross-functional team of product leaders, engineering leaders, and distributed system engineers to influence the organizational vision and help solve hard problems in scaling the data platform.
                                          • +
                                          • Strategic and tactical deliverables for your team.
                                          • +
                                          • Deploying the team towards data platform priorities, achieving measurable impact and outcomes.
                                          • +
                                          • Defining and executing on your team’s deliverables.
                                          • +
                                          • Sourcing and hiring for positions in your team or organization.
                                          • +
                                          • All aspects of performance management, including compensation, performance improvement plans, promotions, and separations.
                                          -

                                          -

                                          COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                          -

                                          -

                                          In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                          -

                                          -

                                          -

                                          -

                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                          -

                                          -

                                          -

                                          -

                                          Employment Type:

                                          Full time

                                          -

                                          -

                                          Type of Role:

                                          Regular

                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                          -

                                          -

                                          Please Note:  
                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                          -
                                          -
                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-05T18:30:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/101620554-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -3aabd1e7-b4c5-4300-a29b-834f36e9129a,80476091,TELUS,Automation Engineer (Voice & Services Automation),on_site,"Toronto, ON, Canada",2021-08-31T17:31:08.528Z,"

                                          Join our team We are a dynamic team that is both passionate about automation and the technology driving our rapidly-evolving data, telephony, and messaging network evolution. As part of the Voice & Service Automation Team, you will support best-in-class voice & services reliability by automating network provisioning and testing across our services and platforms. Together we will improve network and service reliability, resiliency, and time to market while further developing our automation system capabilities for the future. Here's the impact you'll make and what we'll accomplish together As an Automation Engineer, you’ll apply your technical knowledge and innovative thinking to tackle challenging and stimulating projects using new, cutting edge technologies. You’ll collaborate closely with other engineers and design specialists, sharing ideas, knowledge and experiences that will improve the quality and efficiency of our network for our customers. We are passionate about learning, growing and developing as individuals and as a team. Here's how

                                          +

                                          Qualifications

                                          +

                                          About You:

                                            -
                                          • Drive and lead the adoption of an automation-first approach to our critical functions
                                          • -
                                          • Engage and work closely with our partner teams to fully understand current state of operations and define automation opportunities to support the end-to-end provisioning process across our wireless and fixed voice networks
                                          • -
                                          • Explore customer feedback, data insights and analytics to uncover automation opportunities that drive improvements in our products and services
                                          • -
                                          • Create, execute, improve and maintain automation test, provisioning, and workflow scripts through standard methodologies, closely monitor results, and participate in peer reviews
                                          • -
                                          • Collaborate with internal stakeholders and external vendors to further develop automation system capabilities and roadmaps in support of our network and services evolution
                                          • -
                                          • Help drive the evolution of our teams towards a DevOps and Agile culture
                                          • -
                                          -

                                          You're the missing piece of the puzzle

                                          -
                                            -
                                          • Working knowledge of Wireless (5G/LTE/HSPA), Fixed Voice (VoIP/NGN/TDM), and Messaging (SMS/MMS) network architectures, technologies, networking routing, and signalling protocols
                                          • -
                                          • Working knowledge of Telecommunication OSS and BSS management network and systems
                                          • -
                                          • Familiar with CI/CD (Continuous Integration and Continuous Delivery), DevOps best practices and the tools used to implement them
                                          • -
                                          • Experience with testing and provisioning automation tool sets (Sigos, inSwitch, Jenkins, Selenium, Appium, Splunk, Git, Python, Groovy, Java, Robot Framework )
                                          • -
                                          • Working knowledge of API integration (REST/SOAP), XML, JSON, YAML
                                          • -
                                          • Hands-on experience in automation application/scripts development in various environments (Linux, Shell, Web, Windows, etc)
                                          • -
                                          • Working knowledge on workflow automation/orchestration
                                          • -
                                          • Proficient in MS Office, Google Suite or similar tools
                                          • -
                                          • A team player with ability to build relationships, influence others and foster ownership within cross-functional teams
                                          • -
                                          • Capable of tackling ambiguous problems, bringing structure and process to help shape solutions
                                          • -
                                          • Good written and oral communication skills, including creating and delivering presentations, summarizing technical content for an executive audience
                                          • -
                                          • 3+ of years of experience as a software developer or network engineering, preferably in a DevOps environment
                                          • -
                                          • Degree in Engineering or Computer Science
                                          • +
                                          • An experienced manager of teams of high-performing engineers.
                                          • +
                                          • Technical engineering background in one or more areas listed in the next section.
                                          • +
                                          • A proven track record of delivering impactful results.
                                          • +
                                          • Exceptional communication skills and ability to translate technical concepts into easy to understand language for our stakeholders.
                                          • +
                                          • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
                                          -

                                          Great-to-haves

                                          +

                                          A Data Development Manager at Shopify would typically have at least 2 years of experience leading high-functioning teams, and expertise in one or more of the following areas:

                                            -
                                          • Experience working with Agile/Scrum/Kanban
                                          • -
                                          • Experience in Service Development, Project Management, Network Planning, Network Operations, and Change Management
                                          • -
                                          • SAP and Capital budget management
                                          • -
                                          • Device Operating systems (iOS, Android)
                                          • +
                                          • Experience with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
                                          • +
                                          • Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)
                                          • +
                                          • Experience with cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                            Experience with security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
                                          • +
                                          • Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
                                          • +
                                          • Experience building full-stack applications (Ruby/Rails, React, TypeScript)
                                          • +
                                          • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
                                          • +
                                          • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)
                                          -

                                          A bit about us
                                          Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here.

                                          -

                                          Accessibility

                                          -

                                          TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                          +

                                          At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                          -

                                          We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                          -

                                          ",,https://telusjobs.telus.com/jobs/automation-engineer-voice-services-automation-27268,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/80476091-automation-engineer-voice-services-automation-at-telus,,expired,2021-08-31T17:31:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -e5085ab7-bcc7-441d-a34b-8de1f94dc91f,80476122,TELUS,"Director, Data Engineering Platforms",on_site,"Toronto, ON, Canada",2021-08-31T17:37:18.566Z,"

                                          We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do. Join our team We are searching for a talented candidate to become our team’s Director - Data Engineering Platforms. The Director will be responsible for the Development and Operations of enterprise foundational platforms providing curated data and insights leveraged across TELUS. The Director will be an agent of change in a very dynamic and fast changing environment and will be the custodian of its evolving strategy, roadmap, execution and maintaining cutting edge cloud skillset. Reporting to the VP – Data Strategy & Enablement, the successful candidate will lead a group of talented data and software engineers and data technology architects working alongside various business units across TELUS to enable the acceleration of insights to actions to savings/revenue generation through efficient creation, distribution & exchange of high quality datasets across TELUS. This is Your Opportunity At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the Director - Data Engineering Platforms will have the opportunity to:

                                          +

                                          Shopify is now permanently remote and working towards a future that is digital by design. Learn more

                                          +

                                          How we hire

                                          +

                                          At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.

                                          ",,https://www.shopify.com/careers/data-development-manager-americas-remote-6932cbed,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2021-08-20T19:47:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/73347572-data-development-manager-americas-remote-at-shopify-inc,,expired,2021-07-21T19:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, +677b027e-72a3-4039-99f8-c2b51745d9e9,73350442,Shopify Inc.,"Senior Data Scientist (Remote, Americas)",on_site,"Toronto, ON, Canada",2021-07-21T20:05:41.616Z,"

                                          About the role

                                          +

                                          Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                          +

                                          Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                          +

                                          Responsibilities:

                                            -
                                          • Lead a team of talented data and software engineers to drive the strategy, plans and execution of our enterprise data and analytics foundational common platforms
                                          • -
                                          • Maintain and evolve capabilities and technology roadmaps aligned with the always evolving business stakeholder needs
                                          • -
                                          • Advance our systems reliability by applying SRE principles optimizing for expected uptime, development of new features and cost
                                          • -
                                          • Implement and evolve DevOps principles and tooling to ensure continuous delivery and automation of data pipelines for delivering curated data
                                          • -
                                          • Drive the transformation and strategic cloud centric direction to adapt the best of new technology to our data foundations to increase our ability to drive better outcomes
                                          • -
                                          • Drive the continuous systems transformation as we migrate infrastructure and applications to the cloud
                                          • -
                                          • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner to our stakeholders and in accordance with our privacy and security by design policies
                                          • -
                                          • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                          • -
                                          • Mentor, lead, and support a diverse and very talented team
                                          • -
                                          -

                                          You're the missing piece of the puzzle

                                          -
                                            -
                                          • You are go-getter and trailblazer who can work leverage teamwork and connections to drive value creation
                                          • -
                                          • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                          • -
                                          • You are resilient and adept at challenging the status quo by constantly observing, being curious and asking questions
                                          • -
                                          • You can communicate clearly and effectively in both technical and business matters
                                          • -
                                          • You never stop learning and are always hungry for more knowledge
                                          • -
                                          • You are analytical and outcome-oriented with a proven ability to translate technical considerations into business implications (and vice versa!) as well as to synthesize data into actionable insights
                                          • -
                                          • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                          • -
                                          • You have experience with agile ways of working and a bias for action to break down barriers to get results fast with a test and learn mindset
                                          • -
                                          • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                          • -
                                          -

                                          Great-to-haves

                                          -
                                            -
                                          • Bachelor of Computer Science, Electrical Engineering or related technical fields
                                          • -
                                          • MBA or equivalent
                                          • -
                                          • Experience in Google Cloud Platform (GCP)
                                          • -
                                          • 8+ of progressive and relevant work experience
                                          • +
                                          • Proactively identify and champion projects that solve complex problems across multiple domains
                                          • +
                                          • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                          • +
                                          • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
                                          • +
                                          • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
                                          • +
                                          • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                          • +
                                          • Influence leadership to drive more data-informed decisions
                                          • +
                                          • Define and advance best practices within data science and product teams
                                          -

                                          What We Give Back to You

                                          +

                                          +

                                          Qualifications

                                            -
                                          • Flexible work styles with the ability to work in and out of the office
                                          • -
                                          • Opportunities to excel and show your stuff – work on high value and high visibility projects
                                          • -
                                          • Work in an organization that actively supports you giving back to the community you live in
                                          • -
                                          • Competitive pay and benefits
                                          • -
                                          • A workplace that lets you be your best every day and embraces our core values: Spirited team work, Courage to innovate, Embrace change and Initiate opportunity and a Passion for growth
                                          • +
                                          • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
                                          • +
                                          • Extensive experience with Python and software engineering fundamentals
                                          • +
                                          • Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
                                          • +
                                          • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
                                          • +
                                          • Curiosity about the problem domain and an analytical approach
                                          • +
                                          • Strong sense of ownership and growth mindset
                                          -

                                          A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability — your unique contributions and talents will be valued and respected here. DESJobs

                                          -

                                          Accessibility -

                                          -

                                          TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                          -

                                          -

                                          We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                          ",,https://telusjobs.telus.com/jobs/director-data-engineering-platforms-26207,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476122-director-data-engineering-platforms-at-telus,,expired,2021-08-31T17:37:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Director,Masters Degree,New Posting, -6ed95c34-a242-4c0c-a245-ca0fb7c56a79,80476128,TELUS,Software Developer – Data Science,on_site,"Toronto, ON, Canada",2021-08-31T17:38:19.206Z,"

                                          Join our team
                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                          We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.
                                          Together, we will develop and execute strategic programs that will enhance the experience for TELUS subscribers and internal stakeholders across TELUS.
                                          Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you! Here’s the impact you’ll make and what we’ll accomplish together
                                          As a Software Developer - Data Science, you’ll be a part of the team and journey that will transform the way we do business across various domains. You will provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployment.
                                          You will combine your expert knowledge of data science with your strong software development skills to automate and facilitate machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.
                                          You will be working in an environment defined by continuous integration on multiple solutions that will exchange information. You will have to understand a complex architecture and guide its evolution.
                                          You’ll collaborate with teams across the company to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. Here's how

                                          +
                                            +

                                            Experience with one or more:

                                              -
                                            • Lead the software development and implementation of ML & AI and Big Data solutions
                                            • -
                                            • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology on Software Development
                                            • -
                                            • Focus on code quality and timely delivery of AI products and solutions with a focus on performance, maintainability and scalability
                                            • -
                                            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                            • -
                                            • Identify opportunities for code optimization and refine to improve effectiveness/accuracy and enhance ROI
                                            • -
                                            • Collaborate with Data Scientists and Data Engineers within TELUS as well as external business stakeholders
                                            • -
                                            • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                            • +
                                            • Deep understanding of advanced SQL techniques
                                            • +
                                            • Expertise with statistical techniques and their applications in business
                                            • +
                                            • Masterful data storytelling and strategic thinking
                                            • +
                                            • Deep understanding of dimensional modelling and scaling ETL pipelines
                                            • +
                                            • Experience launching productionized machine learning models at scale
                                            • +
                                            • Extensive domain experience in e-commerce, marketing or SaaS
                                            +

                                            Please apply before July 30th, 5:00 pm EST.

                                            +


                                            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                            +

                                            How we hire

                                            +

                                            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.

                                            ",,https://www.shopify.com/careers/senior-data-scientist-remote-americas-ff247eec,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2021-08-20T20:05:43.197Z,False,0,8,64,https://talenthub.vectorinstitute.ai/jobs/73350442-senior-data-scientist-remote-americas-at-shopify-inc,,expired,2021-07-21T20:05:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, +c6cb8dc3-cedc-44fc-b52d-b38bfa6c3099,73527368,Sun Life Financial,Machine Learning Engineer Internship,temporary,"Toronto, ON, Canada",2021-07-23T13:20:22.140Z,"

                                            We have several vacacines for students to join us at Advanced AI Initiative team for an internship. We have lots of data and fascinating machine learning projects.

                                            +


                                            RESPONSIBILITIES

                                            • Use Machine learning to solve business problems
                                            • Identify cutting edge algorithmic solutions available in AI that might be
                                            applicable to our business problems
                                            • Extract actionable insights from big unstructured datasets which we have
                                            access to, by using advanced machine learning methods
                                            • Create visualizations that helps to transform data into actionable insights for non-experts
                                            • Help to develop working application prototypes
                                            • Present your work/findings to a wide audience from beginner to experts

                                            +

                                            REQUIREMENTS
                                            • Being currently enrolled or recently graduated from a relevant
                                            undergrad / grad program.
                                            • Extensive knowledge of Machine Learning and Deep Learning
                                            tools and concepts
                                            • Experience with Automatic Speech Recognition systems, Natural Language Processing
                                            and Information Extraction tools and techniques
                                            • Hands on experience with Python, particularly with data science related packages and
                                            visualization techniques

                                            Experience with Deep Learning frameworks such as Tensorflow or PyTorch
                                            • Ability to work independently with minmal supervision and perform
                                            well in team projects
                                            • Good knowledge of database concepts and SQL
                                            • Solid production level coding skills

                                            +

                                            NICE TO HAVE
                                            • Experience with C/C++, Java, Scala, R
                                            • Experience working with SQL/Unix command-line
                                            • Published paper in AI conferences such as NeurIPS, ICML, ICLR etc.
                                            • Experience in signal processing and pattern recognition
                                            • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi

                                            +

                                            WHAT IS IN FOR YOU
                                            • A friendly, collaborative, and inclusive culture
                                            • Being part of our Analytics community, where we share best practices and broaden skill set
                                            • Opportunity to learn from experts and work with real world data sets
                                            • Competitive compensation

                                            ",,https://pages.beamery.com/sunlifecareers/form/vectorinterns/sign-up,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-08-22T13:20:00.000Z,True,0,55,363,https://talenthub.vectorinstitute.ai/jobs/73527368-machine-learning-engineer-internship-at-sun-life-financial,,expired,2021-07-23T13:20:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +536f7bf8-17f3-4940-bcd7-0ee3783434bd,73922588,Thomson Reuters,Applied Research Scientist NLP/ML,on_site,"Primary Location: Toronto, ON, CA",2021-07-27T00:34:32.798Z,"
                                            +Job Description

                                            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                            As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for consistently delivering projects that advance the state of the art in support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                            More about Thomson Reuters Labs – http://tr.com/ai-jobs

                                            About the role

                                            In this opportunity as an Applied Research Scientist, you will:

                                            • Experiment and Develop: You will execute the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices to conduct reproducible research and well-managed software delivery.

                                            • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                            • Delivery: You will be accountable for timely, well-managed deliverables.

                                            • Innovate: You will be empowered to try new approaches and learn new technologies.

                                            • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                            About you

                                            You are a fit for the role of an Applied Research Scientist if you have:

                                            • Ph.D. in a relevant discipline or Master's plus a comparable level of experience

                                            • At least one year of industry experience building IR/NLP/ML systems

                                            • Solid software engineering skills for prototyping

                                            Preferred qualifications

                                            • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                            • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                            • Proven communication skills and ability to work on deliverables independently

                                            • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                            What's in it for you

                                            At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                            • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                            • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                            • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                            • Perks: Social events & activities, employee discount programs

                                            • Social Impact: Paid time off for volunteering virtually or in your community

                                            +

                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                            +

                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                            +

                                            Accessibility

                                            +

                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                            +

                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                            +

                                            More information about Thomson Reuters can be found on thomsonreuters.com.

                                            +Locations
                                            Toronto-Ontario-Canada;Eagan-Minnesota-United States of America
                                            ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Applied-Research-Scientist---NLP-ML_JREQ145643-1?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-08-06T00:39:18.117Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/73922588-applied-research-scientist-nlp-ml-at-thomson-reuters,https://jobs.thomsonreuters.com/job/13142549/applied-research-scientist-nlp-ml-toronto-ca/,expired,2021-07-27T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +4a4f3a63-55db-4427-b5f4-0e6d6bdf8305,74559579,TD Bank Group,"Manager, Analytics and Insights",on_site,"Toronto, ON",2021-07-29T15:45:29.960Z,"
                                            +

                                            Company Overview

                                            +
                                            +

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            +

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            +

                                            +

                                            Department Overview

                                            +
                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.
                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                            -

                                            You're the missing piece of the puzzle

                                            +

                                            Job Description

                                            +
                                            About this Role

                                            +

                                            You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                            +

                                            We are looking for someone to lead and cultivate a sizeable team of Business Insights &Analytics professionals/specialists.

                                            +

                                            As the Manager, Analytics & Insights you will:

                                            +

                                            Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                            Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate

                                              -
                                            • You are recognized for addressing business needs via your application of software development, data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                            • -
                                            • 3+ years of experience working in a software engineering role with a track record of building highly scalable and robust systems
                                            • -
                                            • You are sought out when it comes to analyzing and translating technicalities into business implications
                                            • -
                                            • You have solid development experience with consuming and designing RESTful APIs in Python
                                            • -
                                            • You are comfortable using various front end frameworks like React
                                            • -
                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                            • -
                                            • Strong understanding of application level and system level software design patterns
                                            • -
                                            -

                                            Great-to-haves

                                            +
                                          • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                          • +
                                          • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                          • +
                                          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                          • +
                                          • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                          • +
                                          • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                          • +
                                          • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                          • +
                                          • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                          • +
                                          • Collaborate with business partners to shape and prioritize ad hoc analysis
                                          • +
                                          • Set operational team direction, working in partnership to execute on common goals
                                          • +
                                          • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                          • +
                                          • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                          • +
                                          • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                          • +
                                          • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                          • +
                                          • Support execution with excellence on key initiatives/programs
                                          • +
                                          • Design effective test and learn for various programs or scenarios
                                          • +
                                          • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                          • +
                                          • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                          • +
                                          • Present insights back to executive leaders / business partners to drive strategic improvement
                                          • +
                                            +

                                            +

                                            Requirements

                                            +
                                            What can you bring to TD?

                                            +

                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                              -
                                            • BS/MS degree in Computer Science, Engineering, or relevant field
                                            • -
                                            • Machine learning and data science knowledge
                                            • -
                                            • Experience with agile methodology and work in a start-up environment
                                            • -
                                            • GCP or other cloud certifications
                                            • -
                                            -

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here. DESJobs

                                            -

                                            Accessibility -

                                            -

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            +
                                          • Undergraduate degree or technical certificate
                                          • +
                                          • Seven (7) or more years relevant experience
                                          • +

                                            -

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/software-developer-%E2%80%93-data-science-24626,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/80476128-software-developer-data-science-at-telus,,expired,2021-08-31T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -4a04d8c0-21fa-45d6-b664-034d496578f3,80476134,TELUS,Senior Technology Architect – Data Engineer,on_site,"Toronto, ON, Canada",2021-08-31T17:39:42.977Z,"

                                            Join our team The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                            We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                            Here’s the impact you’ll make and what we’ll accomplish together
                                            The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.
                                            Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies. Here’s how

                                            +

                                            Hours

                                            +
                                            37.5

                                            -
                                              -
                                            • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                            • -
                                            • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                            • -
                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                            • -
                                            • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                            • -
                                            • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                            • -
                                            • Support the data pipelines feeding into our machine learning algorithms and models
                                            • -
                                            • Assist the extracting, loading, transforming, cleaning, and validating of data
                                            • -
                                            -

                                            You're the missing piece of the puzzle

                                            -
                                              -
                                            • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                            • -
                                            • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning Spark applications
                                            • -
                                            • Google Cloud Dataflow and Google BigQuery experience
                                            • -
                                            • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                            • -
                                            • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                            • -
                                            • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                            • -
                                            • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                            • -
                                            • You are familiar SQL-on- technologies (Hive, Impala, Spark SQL, Presto)
                                            • -
                                            -

                                            Nice to have

                                            -
                                              -
                                            • GCP Professional Data Engineering certification
                                            • -
                                            • DevOps practices and tools experience
                                            • -
                                            • Orchestration and job scheduling platforms experience
                                            • -
                                            -

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here. DESJobsDESJobs

                                            -

                                            Accessibility -

                                            -

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            +

                                            Inclusiveness

                                            +
                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            -

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/senior-technology-architect-%E2%80%93-data-engineer-25342,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/80476134-senior-technology-architect-data-engineer-at-telus,,expired,2021-08-31T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,No Degree,New Posting, -355c4f54-8b35-4043-bc54-aa6c7ce4ad80,80476159,Intact Financial Corporation,"Data Scientist Technical Lead (Toronto), Intact Lab",on_site,"Toronto, ON, Canada",2021-08-31T17:45:44.013Z," - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                            -

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            -

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            -

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                            -

                                            Here, innovation is everyone's job. Ready to make your mark?

                                            -
                                            -
                                            About the role
                                            -

                                            Are you a machine learning expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                            -

                                            Hiring Manager: Amine Mahmoudi

                                            -

                                            Workplace: Toronto (700, University Ave)

                                            -

                                            Your contribution:

                                            +",,https://jobs.td.com/en-CA/jobs/13467969/manager-analytics-and-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-08-02T15:50:11.096Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/74559579-manager-analytics-and-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13467969/manager-analytics-and-insights-toronto-ca/,expired,2021-07-29T15:45:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,College Diploma,New Posting, +d5ae2c90-b83d-497a-a659-fd02bc820526,74581162,RBC,Data Engineer (Ampli),on_site,"Toronto, Ontario, Canada",2021-07-29T22:35:01.747Z,"
                                            +

                                            RBC is changing how people think about and interact with the bank on a daily basis. We want to be more than just transactional and episodic, and are finding new and innovative ways to be an essential part of everyone’s daily life.

                                            +

                                            At RBC Ventures we think and act like start-ups – exploring new ideas that are often completely unrelated to traditional banking products.

                                            +

                                            +

                                            What is the opportunity?

                                            +

                                            Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineer to help solve some of our toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning and algorithmic technologies to create a model runtime for real time event processing and interactions.

                                            +

                                            +

                                            What will you do?

                                              -
                                            • Be the technical leader that help defining data science problems and developing innovative solutions using machine learning and advanced statistics
                                            • -
                                            • Help achieve long-term business goals by identifying and implementing solutions to subtle or ambiguous problems with the highest scientific rigour
                                            • -
                                            • Influence the lab technical direction by making actionable recommendations based on scientific and business findings to management
                                            • -
                                            • Coaching and mentoring of senior data scientists on technical matters and act as a technical reference for management
                                            • -
                                            • Review machine learning solutions and identify their corresponding scientific debt, and ultimately assess readiness for production deployment
                                            • -
                                            • Help the teams maintain a high scientific level by monitoring the application of data science standards of practice and participate in their evolution
                                            • -
                                            • Keep pace with new approaches and trends and use them in your own solutions
                                            • -
                                            • Work with other departments to promote the adoption of analytical principles within the organization
                                            • +
                                            • Support the build out of a data platform
                                            • +
                                            • Work with stakeholders including the Marketing, Product, Data and Development teams with data-related technical initiatives and support their data engineering needs
                                            • +
                                            • Build and manage large-scale batch and real-time data pipelines using the latest technologies
                                            • +
                                            • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                            • +
                                            • Leverage best practices in continuous integration and delivery
                                            • +
                                            • Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality
                                            • +
                                            • Explore new capabilities and technologies to drive innovation
                                            -
                                            -
                                            Qualifications
                                            -

                                            Your assets:

                                            +

                                            +

                                            The ideal candidate will have experience with:

                                              -
                                            • Your Master’s or PhD’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                            • -
                                            • Your 8 years of experience in the field of advanced statistics, data mining and text mining
                                            • -
                                            • Strong communication, time management, great teamworking and organization skills
                                            • -
                                            • Expert-level understanding of the underlying theory of machine learning
                                            • -
                                            • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                            • -
                                            • A multi-platform production experience with commercial and open-source data mining frameworks like Python, R, GitHub, etc.
                                            • -
                                            • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                            • +
                                            • Dealing with structured and unstructured data sets, data analytics and big data pipelines and infrastructure
                                            • +
                                            • Designing and implementing data infrastructure to house large sets of consumer and transaction data leveraging AWS platform services
                                            • +
                                            • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                            • +
                                            • Implementing and supporting data pipelines for extraction, transformation, and modeling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                            • +
                                            • Preparing analytical datasets to support data modeling and machine learning use cases
                                            • +
                                            • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                            • +
                                            • Communicating effectively to sell stakeholders on proposed actions and solutions
                                            -

                                            Here are a few reasons why others have joined our team:

                                            +

                                            +

                                            The superlative candidate will have experience with:

                                              -
                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • -
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • -
                                            • Flexibility in how and where you work
                                            • -
                                            • A comprehensive financial rewards program that recognizes your success
                                            • -
                                            • An extensive, flexible benefits package
                                            • -
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • -
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • -
                                            • A $350 annual wellness account that promotes an active lifestyle
                                            • +
                                            • Experience in the marketing analytics space
                                            • +
                                            • Familiarity with common data science techniques and models
                                            • +
                                            • Experience working with large financial institutions
                                            • +
                                            • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                            • +
                                            • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                            -
                                            -
                                            Closing Statement
                                            -

                                            We are an Equal Opportunity Employer

                                            -

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            -

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            -

                                            Background Checks

                                            -

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            -

                                            Internal Candidates

                                            -

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            -

                                            Eligibility to Work in Canada

                                            -

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                            -
                                            -
                                            Referral Bonus
                                            -

                                            This role is eligible for employee referral bonus. #myReferrals3000

                                            -
                                            -
                                            LinkedIn Sponsored
                                            -

                                            #LI-QuebecIT

                                            -
                                            -

                                            ",,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2021-09-30T17:45:45.521Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/80476159-data-scientist-technical-lead-toronto-intact-lab-at-intact-financial-corporation,,expired,2021-08-31T17:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -aee32021-2ea2-48db-b7c2-1df7aea9f5ff,80476171,Intact Financial Corporation,"Scrum Master AI, Intact Lab",on_site,"Toronto, ON, Canada",2021-08-31T17:48:03.458Z,"
                                            -

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day

                                            Here, innovation is everyone's job. Ready to make your mark?


                                            -
                                            About the role
                                            -

                                            Workplace : Montreal (2020, Blvd. Robert-Bourassa) or Toronto (700 University ave.)

                                            Your mission :
                                            As a Scrum Master, you will act as a facilitator to support the team in reaching their objectives while contributing to the establishment of a pleasant and efficient environment.

                                            • Join an Artificial Intelligence team with high visibility and a multitude of challenges.
                                            • Work closely with the team and provide vision and leadership.
                                            • Ensure proactive and effective communication at all levels and mobilize teams.
                                            • Anticipate problems and sensible situations, propose solutions and participate in the resolution.
                                            • Work with the manager and project manager to determine sprint priorities.
                                            • Formalise delivery processes, quality control and the ""Definition of Done"".
                                            • Guide the team in applying the AGILE methodology while adapting the methodology according to the needs of the team and the context of deliveries.
                                            • Measure the velocity of the team and the progress of the deliverables.
                                            • Plan and coordinate deployments, prepare deployment plans, and produce evidence for implementation.

                                            -
                                            Qualifications
                                            -

                                            You are :

                                            • Interested in artificial intelligence, able to interact with software developers, data scientists and R&D teams.
                                            • Comfortable working in complex environments that are constantly evolving and multidisciplinary team.
                                            • Mobilizer, delivery-oriented and good priority management.
                                            • Autonomous, resourceful and able to question the status quo.
                                            • Very good communicator, ability to negotiate and take decisions.
                                            • Bilingual in French and English

                                            You have :

                                            • A bachelor’s degree in computer science, software development, mathematics or equivalent experience.
                                            • 3 + years of experience as a Scrum Master.
                                            • 7 + years of experience in software engineering.
                                            • Good understanding of integration and continuous delivery processes.
                                            • Strong experience of software development practices such as Agile, Devops, CI and CD and others.
                                            • Scrum Master certification is an asset as well as knowledge of Machine learning concept.

                                            Here are a few reasons why others have joined our team :

                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • Flexibility in how and where you work
                                            • A comprehensive financial rewards program that recognizes your success
                                            • An extensive, flexible benefits package
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • A $350 annual wellness account that promotes an active lifestyle.

                                            -
                                            Closing Statement
                                            -

                                            We are an Equal Opportunity Employer

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            Background Checks

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            Internal Candidates

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            Eligibility to Work in Canada

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                            -
                                            Referral Bonus
                                            -

                                            This role is eligible for employee referral bonus. #myReferrals3000


                                            -
                                            LinkedIn Sponsored
                                            -

                                            #LI-QuebecIT


                                            -
                                            ",,https://careers.intactfc.com/ca/en/job/122801/Scrum-Master-AI-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,https://www.intactlab.ca/,,,2021-09-14T07:28:00.000Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/80476171-scrum-master-ai-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122801/Scrum-Master-AI-Intact-Lab,expired,2021-08-31T17:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -77da5291-fb78-4521-8287-c08368c95eeb,80476215,Scotiabank,"Manager, GRM RCUL Acquisition (Data Analytics)",on_site,"Toronto, ON, Canada",2021-08-31T17:54:16.874Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            -

                                            -

                                            Purpose of Job:

                                            -

                                            -

                                            The Manager, Unsecured Retail Lending Analytics is a key member of Retail unsecured credit risk team responsible for development of credit risk strategies, policies and procedures for pre-approved acquisition for Credit Cards and Unsecured Lending portfolio in order to optimize risk/return for Canadian Banking in Global Risk Management.

                                            -

                                            -

                                            Job Responsibilities:

                                            -

                                            -

                                            Portfolio Monitoring and Pre-Approved Acquisition Strategies:

                                            -
                                              -
                                            • -Adjudication strategy development:
                                                -
                                              • Develop and implement credit risk strategies, policies and procedures for Credit Cards and Unsecured Lending portfolios using analytics, empirical decision models and competitive analysis.
                                              • -
                                              • Promote best practices and leverage appropriate analytical tools for all strategy development and policy enhancements as well as leveraging information from credit bureau and other third-party data.
                                              • +

                                                +

                                                RBCVentures

                                                +

                                                +

                                                +

                                                JOB SUMMARY
                                                City: Toronto
                                                Address: 88 Queens Quay West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salary + Variable Bonus
                                                Position Level: PL08
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: Yes
                                                Application Deadline: 08/06/2021
                                                Req ID: 363224

                                                +

                                                +

                                                +
                                            ",,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-08-09T22:40:04.150Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/74581162-data-engineer-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,expired,2021-07-29T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +8ffbb2df-6aad-4d0e-80df-2c5c6f99209e,74581171,RBC,"Sr. Manager, Data & Analytics",on_site,"Toronto, Ontario, Canada",2021-07-29T22:35:02.906Z,"
                                            +

                                            What is the opportunity?

                                            +

                                            The Enterprise Strategic Client Group (ESCG) serves a select group of RBC’s most important strategic private and family ‘instividual’ client relationships. Leveraging a broad range of internally and externally-generated data, the Senior Manager is responsible for delivering timely and relevant analyses and actionable insights to help drive a broadening and deepening of RBC’s relationship with - and the overall client experience for - ESCG clients, their families and Family Offices. This role is a key resource to help continuously shape the overall ESCG data management & analytics strategy.

                                            +

                                            +

                                            What will you do?

                                            +
                                              +
                                            • Delivers timely and relevant analyses and actionable client insights to drive a broadening and deepening of RBC’s relationship with, and the overall client experience for, ESCG clients
                                            • +
                                            • Connects with and leverages existing data & analytics resources and capabilities across RBC, and otherwise, to enhance our connections into the RBC Businesses booking product and solutions with ESCG clients
                                            • +
                                            • Collaborates with other members of the Strategy, Governance & Enablement team and other enterprise partners and business units on the implementation and ongoing deployment of the Salesforce CRM application
                                            • +
                                            • Uses insight and experience to sifts through client data and other applicable data sets to uncover opportunities to enhance strategies as well as product and client initiatives
                                            • +
                                            • Partners with ESCG Strategy, Governance & Enablement team members to align market research, social media, etc. with internal analytics to gather and derive client insights, identifying any associated business implications and opportunities
                                            • +
                                            • Oversees the development and deployment of advanced analytics (modeling, segmentation, product and solution offerings, thought leadership priorities, etc.)
                                            • +
                                            • Leverages data to aid ESCG team members and partners with tracking and the effectiveness of their activities and strategic initiatives around each ESCG client
                                            • +
                                            • Leads the development and ongoing distribution of an ESCG data & analytics dashboard
                                            • +
                                            +

                                            +

                                            What do you need to succeed?

                                            +

                                            Must Have:

                                            +
                                              +
                                            • Experience building and optimizing 'big data' data pipelines, architectures and data sets
                                            • +
                                            • Proven experience with business intelligence, data mining, modelling, analysis, and visualization
                                            • +
                                            • A successful history of manipulating, processing and extracting value from large disconnected datasets
                                            • +
                                            • Financial acumen
                                            • +
                                            • Strong Knowledge of database and reporting applications – e.g. Access, Excel, Tableau
                                            • +
                                            +

                                            +

                                            +

                                            Nice to Have:

                                            +
                                              +
                                            • Enterprise Data Knowledge: Understanding of data architecture across the bank and methodologies used to store and mine data;
                                            • +
                                            • Conceptual knowledge in Machine Learning Algorithms and Text Analytics
                                            • +
                                            • Strong ability to multi-task and prioritize and work independently under tight deadlines in a fast-paced environment;
                                            • +
                                            • Demonstrated use of continuous improvement methodologies and application in respect to processes and reporting
                                            • +
                                            +

                                            +

                                            What’s in it for you?

                                            +

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +
                                              +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities
                                            • +
                                            • Ability to make a difference and lasting impact
                                            • +
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            • +
                                            • A world-class training program in financial services
                                            • +
                                            • Flexible work/life balance options
                                            • +
                                            • Opportunities to do challenging work
                                            • +
                                            +

                                            +

                                            +

                                            JOB SUMMARY
                                            City: Toronto
                                            Address: 200 Bay St.
                                            Work Hours/Week: 37.5
                                            Work Environment: Office
                                            Employment Type: Permanent
                                            Career Level: Experienced Hire/Professional
                                            Pay Type: Salary + Variable Bonus
                                            Required Travel(%): 0
                                            Application Deadline: 08/17/2021
                                            Req ID: 393656

                                            +

                                            +

                                            +

                                            +
                                            ",,https://jobs.rbc.com/ca/en/job/393656/Sr-Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-08-19T22:40:05.578Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/74581171-sr-manager-data-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/393656/Sr-Manager-Data-Analytics,expired,2021-07-29T22:35:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +e971f886-9ec8-4c09-b5be-9cc8b131f462,74581443,Deloitte,"Google Cloud Architect, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:04.753Z,"
                                            +

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto

                                            +

                                            +

                                            Learn from deep subject matter experts through mentoring and on the job coaching.
                                            Partner with clients to solve their most complex problems.
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            +
                                            +
                                            +
                                            +

                                            +

                                            Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                            +
                                            +
                                            +
                                            +

                                            What will your typical day look like?

                                            +

                                            +
                                            +
                                            +

                                            •You will help our clients to resolve their most complicated problems to build, maintain, improve or re-architect on Google Cloud Platform

                                            +

                                            •Develop conceptual, logical and physical Google Cloud Platform IaaS and PaaS data services and architectures

                                            +

                                            •Help our clients understand advantages and disadvantages of specific GCP Data architecture choices

                                            +

                                            •Provide subject matter expertise and lessons learned for your previous projects to our clients

                                            +

                                            •Develop highly efficient teams of internal resources and guide their development journey on Google Cloud Platform

                                            +

                                            Learn something new everyday

                                            +
                                            +
                                            +
                                            +
                                            +

                                            About the team

                                            +

                                            +
                                            +
                                            +

                                            Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +

                                            As a member of our Data & Analytics Modernization team within our Omnia AI practice, you will provide subject matter expertise and hands on delivery with Big Data and Cloud Data Architecture on Google Cloud Platform. Participate in architectural discussions to build confidence and ensure customer success when building new data solutions and migrating existing data applications on the Google Cloud Platform. Design big data batch processing and real-time processing solutions. Operationalize end-to-end cloud data & analytics solutions. Manage cross functional teams to deliver engagements in a highly collaborative and complex environment. Provide expertise on the full life-cycle of a data & analytics project from business case to post production support.

                                            +
                                            +
                                            +
                                            +
                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            +
                                            +
                                            +

                                            You are some who :

                                            +
                                            • Can showcase at least 2 multi-million data projects (modernization, data lake build, migration, etc.) where you were the lead (or one of) data or solution architects
                                            • Has 2+ years of hands-on experience on Google Cloud Platform (demonstrated via hands on project experience)
                                            • Has 3+ years of relevant technology architecture consulting or industry experience to include experience in data & analytics delivery
                                            • Has at least 2 years hands-on project working experience with GCP technologies; Data Lake, Data Proc, BigQuery, Cloud CDN, Cloud Run, Cloud SDK, Compute Engine etc.
                                            • Has 2+ years of hands-on experience with data lake implementations, core modernization, and data ingestion
                                            • Has 4+ years experience leading teams
                                            • Has 2+ years experience setting up DevOps and data testing automation
                                            • Has GCP Certification (minimum at an associate level)
                                            - -
                                          • -Champion/Challenger: Leverage champion/challenger capabilities and incorporate non-traditional data and innovation for continuous improvements to existing strategies.
                                          • -
                                          • -Segmentations: Develop new risk/revenue/relationship segmentations to aid strategy development. Examine the nature and depth of customer’s relationship across lending products to strengthen and develop customer profiling tools and customer segmentation analysis.
                                          • -
                                          • -Pro-active Monitoring:
                                              -
                                            • Monitor, assess and evaluate existing risk strategies to identify opportunities and recommend changes to pre-approval strategies to ensure the Bank remains within risk appetite.
                                            • -
                                            • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts.
                                            • +
                                          • +
                                            +
                                            +

                                            Why Deloitte?

                                            +

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            +
                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            - -
                                          • -Automation: Demonstrate initiative to automate and simplify tasks to set risk thresholds to measure and control risks using technical or analytical skills and Tools like PowerBI, Tableau
                                          • +


                                            The next step is yours

                                            +

                                            Sound like The One Firm. For You?

                                            +

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Toronto-Google-Cloud-Architect%2C-Omnia-AI-ON-M5C-3G7/735950200/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:14:49.910Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/74581443-google-cloud-architect-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Google-Cloud-Architect%2C-Omnia-AI-ON-M5C-3G7/735950200/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,College Diploma,New Posting, +2629a6f9-e051-42ae-94ae-830903dcd957,74581444,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:04.798Z,"
                                            +

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto; Ottawa; Vancouver

                                            +

                                            Partner with clients to solve their most complex business problems
                                            Be encouraged to deepen your technical skills…whatever those may be
                                            Lead projects and teams to make an impact that matters

                                            +
                                            +
                                            +
                                            +

                                            +

                                            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                            +
                                            +
                                            +
                                            +

                                            What will your typical day look like?

                                            +

                                            +
                                            +

                                            As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                            +
                                            +
                                            +
                                            +

                                            About the team

                                            +

                                            +
                                            +

                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +
                                            +
                                            +
                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            +
                                            +
                                            +

                                            You are someone with:

                                            +
                                            • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                            • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                            • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                            • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                            • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                            • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                            • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                            -

                                            -

                                            Support Business Line Initiatives/Projects:

                                            -
                                              -
                                            • Participate in projects for Credit Cards and Unsecured Lending programs. This includes the review of business cases, risk proposals, requirements documents and liaising with the appropriate groups throughout the organization as a trusted advisor ensuring optimal risk-return is achieved
                                            • -
                                            • Maintain a current, in-depth knowledge, relative to assigned products, of the Bank’s operating procedures and systems, by delivery channel/centralized unit (e.g. branch, digital, call center etc.). Identify areas where new/enhanced policies or procedures need to be implemented to improve productivity and performance within risk appetite and recommend/implement appropriate changes.
                                            • +
                                            +
                                            +
                                            +

                                            Why Deloitte?

                                            +

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            +
                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            -

                                            -

                                            Canadian Regulator, Internal Audit and Fraud Management:

                                            -
                                              -
                                            • Support investigations and solutioning for OSFI findings and/or Internal Audit items in an appropriate and acceptable timeframe.
                                            • -
                                            • Liaise with the Fraud Department and Security and Investigations as required.
                                            • +


                                              The next step is yours

                                              +

                                              Sound like The One Firm. For You?

                                              +

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              +

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              +

                                              +

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:14:26.775Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/74581444-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +cdefa1df-2788-4b44-8d26-dcb80b9ba87e,74581447,Deloitte,"Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:05.219Z,"
                                            +

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Vancouver; Montreal; Ottawa; Toronto

                                            +

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Partner with clients to solve their most complex problems
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            +
                                            +
                                            +
                                            +

                                            +

                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                            +
                                            +
                                            +
                                            +

                                            What will your typical day look like?

                                            +

                                            +
                                            +
                                            +

                                            As a Data Engineer on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including ETL, data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                            +

                                            Specifically, in this role, you will:

                                            +
                                            • Engineer and architect ETL and BI/DW solutions to enable business analytics and drive insights
                                            • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                            • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                            • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                            -

                                            -

                                            Develop and maintain relationships with internal and external business partners and similar position contacts in other financial institutions:

                                            -
                                            • Leverage data from Scotiabank Economics, Risk Analytics, Canadian Bankers Association for competitor performance and employment rates; informing the business line and preparing for headwinds as required.
                                            -

                                            Stay informed of competitive landscape, partnering with the business line to ensure that our processes, strategies and policies consider the changing landscape.

                                            -

                                            -

                                            Job Requirements:

                                            -

                                            -
                                              -
                                            • Minimum of three years with an organization focused on improving the customer experience and automating processes, with a proven track record of success in using analytical tools to conduct data analysis, ideally related to credit risk management.
                                            • -
                                            • Strong knowledge of SAS/SQL and Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques.
                                            • -
                                            • Strong analytical and MIS background, including the ability to apply standard statistical techniques using analytical tools to extract, analyze and manage data.
                                            • -
                                            • Bachelor’s degree or higher in business, statistics, economics, mathematics, management science or analytics
                                            • -
                                            • Strong communication and relationship management skills complemented with solid analytical and problem-solving skills.
                                            • -
                                            • Project management and leadership skills to prioritize, manage and implement a variety of competing initiatives is preferred.
                                            • -
                                            • Knowledge of credit scoring and risk assessment as well as portfolio management and behaviour scoring to maximize the effectiveness of existing technology in providing competitive and effective policies that respond to the credit needs of our customers is preferred.
                                            • -
                                            • Prior experience in a retail lending environment or credit risk management is preferred.
                                            • +
                                            +
                                            +
                                            +
                                            +

                                            About the team

                                            +

                                            +
                                            +
                                            +

                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +

                                            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            +
                                            +
                                            +
                                            +
                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            +
                                            +
                                            +

                                            You are someone with:

                                            +
                                            • 3+ years experience with analysis, design, development, testing and deployment of ETL services in relational data warehouse environments on DB2, Oracle, SQL Server and/or SAP/HANA using technologies such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS and/or Talend for batch and/or real-time data processing
                                            • 3+ years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                            • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                            • Experience with Agile development methods in data-oriented projects
                                            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired
                                            -

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-GRM-RCUL-Acquisition-ON-M5C2W1/548860017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-30T17:54:18.772Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/80476215-manager-grm-rcul-acquisition-data-analytics-at-scotiabank,,expired,2021-08-31T17:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -16cd042b-b21c-4fa8-84bf-37b35c618c1f,80476218,Scotiabank,"Manager, GBP Analytics",on_site,"Toronto, ON, Canada",2021-08-31T17:55:28.653Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            -

                                            -

                                            In this role as a Manager within GBP Analytics, you will contribute to the overall success of Global Business Payments by creating and executing its data, business intelligence and analytics strategy. This includes ownership and oversight for sales, product and operations KPIs, reporting, insights, and revenue opportunities. The role is highly technical and requires expert knowledge of data practices, analytical methodologies as well as Microsoft Power BI.

                                            -

                                            You will possess strong technical, financial and analytical skills as well as the ability to communicate to a broad audience including Scotiabank executives. You will also possess leadership skills as well strong knowledge of GBP products, services and operations.

                                            -

                                            -

                                            Is this role right for you? You will be responsible for:

                                            -
                                              -
                                            • Understanding how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                            • -
                                            • Creating an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                            • -
                                            • Turning data into opportunity - Identifies new revenue opportunities, reduced costs and improved operational efficiencies
                                            • -
                                            • Executing and tracking leads, prospects for Sales and Product partners
                                            • -
                                            • Owning of Microsoft Power BI reports which serve as the primary portal and one-stop shop for all GBP data consumers in order to access self-serve dashboards, insights, leads, product campaigns, product analysis and more
                                            • -
                                            • Providing solid analytics and insights to Sales, Product, Channels, CS&O, PayMod, Correspondent Banking and Deposit teams in order to drive revenue, execute against product campaigns, improve the customer experience and protect the Bank
                                            • -
                                            • Providing strong leadership to direct reports to motivate both individual and team performance and foster a commitment to Scotiabank’s Values and our Customers
                                            • -
                                            • Recruiting high potential management candidates
                                            • -
                                            • Developing staff by sharing knowledge/experience and provide opportunities for staff to share responsibility for achieving bank and department objectives/goal
                                            • -
                                            • Acting as a centre of excellence for GBP, training users in Microsoft Power BI, acting their own trusted advisors for all things data analytics
                                            • -
                                            • Providing reporting on employee measurement (Sales, Product, etc) where applicable in order to foster a performance-based culture
                                            • -
                                            • Working in alignment with the Customer Insights, Data and Analytics, Data Office, GBM Client Insights and Analytics, GBM Analytics Execution, Small Business Analytics as well as Commercial Banking Analytics and Business Planning teams
                                            • +

                                              If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                              +

                                              The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                              +
                                            +
                                            +
                                            +

                                            Why Deloitte?

                                            +

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            +
                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            -


                                            -

                                            Do you have the skills you need to succeed? We'd love to work with you, if you have:

                                            -
                                              -
                                            • Expert Microsoft Power BI skills
                                            • -
                                            • Experience with big data technology (Hadoop, Hive, SQL etc.)
                                            • -
                                            • Experience with Salesforce CRM
                                            • -
                                            • An Undergraduate degree in quantitative discipline (e.g. engineering, finance, mathematics, statistics etc.)
                                            • -
                                            • A University degree in relevant Business, Finance or STEM discipline (Science, Technology, Engineering and Mathematics)
                                            • +


                                              The next step is yours

                                              +

                                              Sound like The One Firm. For You?

                                              +

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              +

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-29T04:12:00.000Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/74581447-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +02a87c86-77e4-44ee-8f60-5debc192592d,74581454,Deloitte,"Senior Consultant, Healthcare Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-07-29T23:49:06.336Z,"

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto

                                            +

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Be encouraged to deepen your technical skills…whatever those may be.
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            +
                                            +
                                            +

                                            +

                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +
                                            +
                                            +
                                            +

                                            What will your typical day look like?

                                            +

                                            +
                                            +
                                            +

                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +

                                            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            +
                                            +
                                            +
                                            +
                                            +

                                            About the team

                                            +

                                            +
                                            +
                                            +

                                            As a Consultant / Senior Consultant in our Life Sciences and Healthcare Practice, you will specialize in Health Informatics, contributing to a portfolio of Deloitte’s Omnia AI Data Analytics and Modernization projects. The role includes working collaboratively within a team to support health data modernization efforts in the life sciences and healthcare sector, leading projects in cloud data transformations and data strategies, enabling patient centricity in healthcare organizations as well as claims modernization, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                            +

                                            In this role, you will –
                                            Offer expertise in Artificial Intelligence and Data/Analytics Modernization
                                            • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                            • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                            • Support health data modernization efforts in the public and private sectors, by working hands on with health data in cloud data transformation, data strategies as well as claims modernization
                                            • Lead the end-to-end execution of health system modernization and the design of data architectures, working hand-on to build and implement customized health solutions

                                            +
                                            +
                                            +
                                            +
                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            +
                                            +
                                            +

                                            You are someone who is :

                                            +
                                            • 4-6 years in industry or consulting experience in a technical role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                            • Overall understanding of health information management in healthcare and life sciences organizations (e.g. clinical, pharmaceutical, public health/government, retail pharmacies)
                                            • Understanding of key data domains, data value chain, and information flow in healthcare and life sciences
                                            • Ability to develop tailored data models and architecture encompassing clinical and non-clinical data, and data modelling and architecture documentation
                                            • Health Interoperability Standards (e.g. HL7, FIHR)
                                            • Experience with software systems such as Salesforce, SAP, Workday and SuccessFactors is desirable
                                            • Must be eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level
                                            • Some Canadian travel will be required; candidates must also be able to enter the USA to work on client assignments
                                            • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                            • Completed Undergraduate degree in a engineering/Analytics or related field; Master’s or PhD degrees and any recognized professional certifications would be an asset
                                            • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                            +
                                            +
                                            +
                                            +

                                            Why Deloitte?

                                            +

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            +
                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            • +
                                            +


                                            The next step is yours

                                            +

                                            Sound like The One Firm. For You?

                                            +

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            +

                                            +

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-08-20T01:55:29.502Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/74581454-senior-consultant-healthcare-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,expired,2021-07-29T23:49:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,No Degree,New Posting, +605d2595-995a-41f3-8904-6db313ddc537,74637498,Roche,Business Intelligence Specialist,on_site,"Canada , Ontario , Mississauga",2021-07-30T07:19:03.551Z,"

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-GBP-Analytics-ON-M5H1H1/549958217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476218-manager-gbp-analytics-at-scotiabank,,expired,2021-08-31T17:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -6c333cb9-8b36-461b-a5db-134203179bea,80476221,Scotiabank,"Manager, Business Intelligence & Analytics - Canadian Business Banking",on_site,"Toronto, ON, Canada",2021-08-31T17:56:22.689Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            -

                                            -

                                            Manager, Business Intelligence and Analytics – Canadian Business Banking

                                            -

                                            -

                                            Purpose

                                            -


                                            This position supports development of Business Intelligence and Analytics in Canadian Business Banking ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

                                            -

                                            Reporting to the Senior Manager, Business Intelligence and MIS you will work independently to identify, develop and implement strategies to achieve results. You will possess a high degree of judgement to effectively review and analyze initiatives, as well as to create directions for various projects.

                                            -

                                            The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. You will work with various partners using influence and negotiation skills to ensure objectives are met.

                                            -

                                            -

                                            Accountabilities:

                                            -

                                            -

                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                            -

                                            -

                                            • Supports the development and management of business intelligence/MIS/Analytics for Commercial Banking

                                            -


                                            o Develops business intelligence reports including Sales Team Scorecards, Sales activity and other Portfolio Management reports and solutions
                                            o Ensures reports are available to the business on a timely basis and are accurate
                                            o Provides reports encompassing all Business Bank business lines, sub-business lines and segments
                                            o Ensures Sales teams and Business Bank leadership teams have appropriate amount of drill down capability to measure and manage their portfolios/business performance
                                            o Works with other reporting teams (e.g. Salesforce) to ensure business intelligence produced by different groups in the bank produce consistent results

                                            -

                                            -

                                            • Provides leading edge solutions to Business Banking stakeholders on Business Intelligence/MIS

                                            -


                                            o Implements reports in leading edge business intelligence tools (e.g. Tableau, Power BI)
                                            o Supports development of appropriate infrastructure for Business Banking teams to access reports on an on-demand basis (e.g. through Salesforce)
                                            o Enhances their knowledge and skills on business intelligence tools and infrastructure on an ongoing basis to provide Commercial Banking best in class Business Intelligence solutions
                                            o Ensures ongoing improvements in automation and process improvements to cut down cycle time for report generation and availability

                                            -

                                            -

                                            • Supports the development of analytics to enable sales effectiveness, portfolio management and business development

                                            -


                                            o Supports incumbent’s manager, Commercial Customer Experience and the Leadership team in annual development and/or refinement of Performance metrics for the sales teams across all Commercial Business lines
                                            o Provides in-depth analysis/insights on historical metrics and assists in development of new metrics
                                            o Ensures new metrics are incorporated into Performance reporting on a timely basis
                                            o Helps develop analytics to support key commercial bank initiatives (e.g. The Pulse, Operational reporting/analytics, portfolio management and business development initiatives etc.)

                                            -

                                            -

                                            • Collaborates with stakeholders in relation to delivery of Business intelligence

                                            -


                                            o Works collaboratively with data infrastructure teams within Commercial Analytics and GBM Analytics teams to ensure appropriate data infrastructure is in place to facilitate timely and accurate delivery of business intelligence reports
                                            o Works collaboratively on requests from field support teams to ensure field queries and feedback is actioned and incorporated in future MIS development
                                            o Works proactively with development teams in Salesforce and other areas to improve infrastructure required to enhance efficiencies for end users and for the Analytics teams
                                            o Supports Commercial Customer Experience and Sales teams on ad-hoc analysis

                                            -

                                            -

                                            • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                            -

                                            -

                                            • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                            -

                                            -

                                            • Champions a high-performance environment and contributes to an inclusive work environment.

                                            -



                                            Educational Requirements:

                                            -


                                            • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                            • MBA (Finance or Analytics) – preferred

                                            -

                                            -

                                            Experience:

                                            -


                                            • 3+ years experience in developing Business Intelligence solutions through Power BI and/or Tableau
                                            • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                            • Exposure or experience in programming, application development and/or data warehousing
                                            • Experience accessing, compiling and analyzing large volumes of data into usable form required
                                            • Using SAS, SQL server database programming an asset
                                            • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                            • Experience with open-source languages such as Python, Django, Flask, JS, D3, Angular an asset

                                            +

                                            Job Title: BI Specialist

                                            +

                                            Department: Global Operations

                                            +

                                            Reports to Title: Head, Global PTS Analytics & Insights

                                            +

                                            Location: Mississauga

                                            -

                                            Skills:

                                            -


                                            • Advanced proficiency with Excel programming and Microsoft Access skills including queries, forms, reports and macros
                                            • Excellent verbal and written communication skills are required
                                            • Strong prioritizing, analytical, presentation, project management and planning skills
                                            • Effective strategic thinking, organizational know-how and influencing skills are critical for success
                                            • High degree of knowledge of Business products and profit drivers
                                            • Strong technical skills in Math, Statistics, Computer Science or related fields
                                            • Excellent design and delivery capabilities
                                            • Ability to work non-standard hours as required

                                            +

                                            Who we are

                                            +

                                            Behind every presentation of each product sold by Roche is the involvement of Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes medicines at sites around the world and includes more than 10,000 employees worldwide.

                                            +

                                            The PT Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organisation, delivering priority projects, advancing the analytical maturity of the organisation, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                            -

                                            #IN-CB

                                            +

                                            Summary

                                            +

                                            As a key role in the newly formed PT Global Analytics Hub, the BI Specialist will join and build capabilities in an Advanced Analytics centre of excellence, working with industry leading teams and technologies to build capabilities and create and implement innovative high impact solutions.

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H1H1/549787017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476221-manager-business-intelligence-analytics-canadian-business-banking-at-scotiabank,,expired,2021-08-31T17:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f4f5c80f-e532-4dfb-9d87-8bb6c7c5cd15,80476222,Scotiabank,"Manager, Analytics",on_site,"Toronto, ON, Canada",2021-08-31T17:57:04.201Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            +

                                            The Position

                                            +

                                            We are looking for a self-starter and leader who will help us drive the business through data. As the Business Intelligence Engineer for the Pharma Technical Quality organization, you will deliver business outcomes by building robust technical and analytical solutions to help us better understand our needs. To be successful, you will need to enjoy working with ambiguity, be creative and have the ability to influence senior leaders of all levels in tech and non-tech.

                                            -

                                            The Manager, Analytics contributes to the development and refinement of business strategies, programs, and offers at Automotive Finance (AF) by providing data-driven insights to the business line decision makers. This individual is responsible for compiling, aggregating, testing and validating different hypotheses from internal and external stakeholders (AF and DFC Senior Management, business leaders, manufacturer partners) and converting them into practical business intelligence and recommendations to identify and seize new business opportunities. The incumbent also manages analytical tools with both high-level dashboard and detailed drilldown analysis functionalities for various groups of internal and external users (AF Head Office, DFCs, and manufacturer partners).

                                            +

                                            In this role, you will empower data driven decision making through implementing principles of data mining, data modeling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.

                                            -

                                            The Manager, Analytics works closely with key internal and external stakeholders as well as various IT&S and other departments on all matters related to AF Business Intelligence platform(s). The incumbent also provides insights into the business analytics strategy and framework and manages in-house business analytics capability.

                                            +

                                            In addition to leading analytical tools and reporting, you will provide thought leadership and business analysis support as needed. The successful candidate will demonstrate business acumen, experience in developing reporting and analytical infrastructures and ability to work effectively with cross-functional teams in a fast-paced environment. You should have excellent business and communication skills to collaborate with business owners to draw insights from data to answer questions to key business questions.

                                            -

                                            Key Accountabilities:

                                            +

                                            Responsibilities

                                            +
                                              +
                                            • Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs.
                                            • +
                                            • Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, Quicksight, and Tableau skillsets
                                            • +
                                            • Improve existing data processes and pipelines by implementing automation, data tuning and performance concepts creatively
                                            • +
                                            • Use data mining, data modeling, data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
                                            • +
                                            • Design and drive experiments to form actionable recommendations. Present to business leaders and drive decisions.
                                            • +

                                            +

                                            Basic Qualifications

                                              -
                                            • Manages the process to deliver business insights and strategic reporting to the business line’s Senior Management and decision makers
                                            • -
                                            • Manages the processes and platform(s) to support Dealer Finance Centers with competitive analytics services
                                            • -
                                            • Provides solutions for ad-hoc analytics needs at AF Head Office
                                            • -
                                            • Liaises with other departments to work on cross-departmental analytics initiatives
                                            • -
                                            • Oversees the integrity of data and metrics used for all of the analytics services listed above
                                            • -
                                            • Administers AF’s BI channels to grant appropriate access rights to various groups and subgroups of users and set data authorization rules using provided BI management consoles
                                            • -
                                            • Other Accountabilities:
                                                -
                                              • Ensures compliance to AML (Anti-Money Laundering) and KYC (Know Your Customer) policy
                                              • -
                                              • Ensures adherence to Information, Security and Policy Privacy Requirements
                                              • -
                                              • Occupational Health and Safety Office, as assigned
                                              • +
                                              • Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
                                              • +
                                              • Relevant experience in business intelligence or business analyst role, including data warehousing, business intelligence, data visualization tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
                                              • +
                                              • Experience gathering business requirements, using business intelligence tools to extract data, formulate metrics, & build reports
                                              • +
                                              • Ability to work cross-functionally, be detail oriented ,build and maintain trust with internal stakeholders in a fast and Agile development environment
                                              • +
                                              • Have basic understanding of programming languages such as Python, Ruby , Java
                                              -
                                            • +

                                              Preferred Qualifications

                                              +
                                                +
                                              • Master’s degree in Statistics, Engineering, or a related quantitative field
                                              • +
                                              • Experience in AWS data services such as AWS Redshift, EMR, Athena, Aurora, Glue, etc
                                              • +
                                              • Practice software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
                                              • +
                                              • Prior experience with forecasting, budgeting, variance analysis, and/or data mining
                                              • +
                                              • 5+ years experience as a business intelligence leader

                                              -

                                              Experience / Education:

                                              +

                                              NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                              +

                                              All candidates need to be eligible to work in Canada. Sponsorship will not be offered for this role.

                                              +

                                              This role has no relocation budget assigned.

                                              -
                                                -
                                              • 3 - 5 years of experience in data analytics, financial services, business development, analysis, or related field
                                              • -
                                              • Strong working knowledge of SQL and Microsoft Access and Excel is required
                                              • -
                                              • Solid knowledge and experience in Big Data and Tableau is required. Knowledge of Power BI / other BI platforms is nice-to-have but not required.
                                              • -
                                              • A deep understanding of Automotive Finance’s structure, systems and strategies, coupled with strong relationships across the network will be an asset
                                              • -
                                              • Demonstrated ability to mine, manage and maintain key financial, transactional, and industry competitor data, as well as turn this data into meaningful business insights
                                              • -
                                              • Post-secondary degree in Business, Computer Science, Engineering or equivalent
                                              • -
                                              • Master’s degree in aforementioned study areas, MBA, and /or PMP will be an asset, but not required
                                              • -
                                              +

                                              We understand that some individual’s common name or gender may not coincide with the information indicated on their identification. We are committed to providing a confidential and dignified experience for all Gender Diverse applicants at the background check stage.

                                              -

                                              Location(s): Canada : Ontario : Toronto

                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/549320617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-30T17:57:05.808Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/80476222-manager-analytics-at-scotiabank,,expired,2021-08-31T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -10073a66-5406-4639-85df-eff1d5689e48,80927965,Manulife,Data Analyst,on_site,"Toronto, ON, Canada",2021-09-02T21:36:02.153Z,"
                                              -
                                              -
                                              -

                                              Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                              -

                                              -

                                              Job Description

                                              -

                                              -

                                              -

                                              The main responsibility of this role is to organize and make sense of collections of data focused on General Account segment. The role will have opportunity to evaluate design and review/implement information capturing pertinent to the business. The Data Analyst will analyze business requirements and sift through data from various books of record systems and ensure the data will be available in the lake for downstream consumption. The GO GA delivery team is looking for an analytical, proactive, strategic thinker to join the team as Data Analyst. The incumbent will also play a key role in promoting data usage and analytics to support future improvements.

                                              -

                                              -

                                              Key Responsibilities:

                                              -
                                                -
                                              • Utilize statistical and analytical techniques to quantify KPI and metrics using systems of data

                                              • -
                                              • Understand complex data system by working closely with engineering and product teams

                                              • -
                                              • Perform data cleaning, integration, validation and analysis using R or Python

                                              • -
                                              • Derive data insights from KPI and metric

                                              • -
                                              • Build and manage data feeds and real-time data movement as required

                                              • -
                                              • Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations

                                              • -
                                              • Build real time monitoring dashboards using various business intelligence tools (eg: Power BI, MicroStrategy etc)

                                              • -
                                              • Support ad hoc automation, data extraction, and reporting needs as required

                                              • -
                                              -

                                              -

                                              Education, Experience & Skills:

                                              -
                                                -
                                              • Degree in Computer Science, Information Systems, Mathematics, Statistics or a related field

                                              • -
                                              • Minimum 1+ years of data analytics/data engineering experience is preferred

                                              • -
                                              • Strong Mathematical and statistical understanding

                                              • -
                                              • Previous experience on customer experience analytics

                                              • -
                                              • Working knowledge of machine learning and natural language processing

                                              • -
                                              • Advanced knowledge of Python and/or R is required

                                              • -
                                              • Advanced understanding of data structure and data modeling

                                              • -
                                              • Experience with SQL, working knowledge of graph database or other no-sql databases is preferred

                                              • -
                                              • Quick learner and have excellent analytical and problem-solving skills

                                              • -
                                              • Ability to work both independently and closely with other squad members in an agile environment

                                              • -
                                              • Proactive and inquisitive mindset, constantly looking for ways to improve existing processes and streamline activities

                                              • -
                                              • Superior organizational skills; demonstrated ability to take initiative and establish priorities

                                              • -
                                              • Good verbal and written communication

                                              • -
                                              • Ability to work under deadlines

                                              • -
                                              • Aptitude to accurately identify problems, assess business impact and suggest alternate courses of actions

                                              • -
                                              -

                                              -

                                              -

                                              -

                                              Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                              -

                                              -

                                              About Manulife

                                              -

                                              -

                                              About Manulife Manulife Financial Corporation is a leading international financial services provider that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and our global wealth and asset management segment, Manulife Investment Management, serves individuals, institutions and retirement plan members worldwide. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of March 31, 2021, we had CAD$1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.3 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as \'MFC\' on the Toronto, New York, and the Philippine stock exchanges and under \'945\' in Hong Kong.

                                              -

                                              -

                                              Manulife is an Equal Opportunity Employer

                                              -

                                              -

                                              At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                              -

                                              -

                                              It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                              -
                                              -
                                              ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Analyst_JobReq0436301,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-09-09T21:41:06.297Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/80927965-data-analyst-at-manulife,,expired,2021-09-02T21:36:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3c793133-75bf-4d3b-ad6c-89beea30b942,80939911,Ada,Machine Learning Scientist,on_site,Toronto /,2021-09-03T00:34:09.995Z,"
                                              -
                                              -We’re Ada. We’re an ambitious global team that enables businesses around the world to provide incredible customer experience. Our AI-powered platform has automated over 1 billion customer interactions for some notable enterprises, including Zoom, Facebook and Shopify. We recently raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and we're officially a Canadian unicorn with a $1.2B valuation! -
                                              -

                                              -
                                              -You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth. -
                                              -

                                              -
                                              -We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us. -
                                              -

                                              -
                                              -As a Machine Learning Scientist on our ML team, you will design, experiment, and deploy data science solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
                                              +

                                              Roche is an equal opportunity employer. Roche is committed to equity in access to employment and is a diverse and inclusive workplace. We encourage applications from racialized persons, women, Indigenous peoples, persons with disabilities, 2SLGBTQIA+ and Gender Diverse persons, neurodiverse individuals and others who may contribute to the further diversification of ideas. If you require accommodation during the recruitment process, please contact our People&Culture Representative or Talent Acquisition Partner.

                                              +
                                              ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110255&locale=en&title=Business+Intelligence+Specialist&source=APPLICANT_SOURCE-3-722,info@roche.com,https://www.roche.com/careers.htm,,,2021-09-14T07:00:00.000Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/74637498-business-intelligence-specialist-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202104-110255&locale=en&title=Business+Intelligence+Specialist,expired,2021-07-30T07:19:00.000Z,import-xml-feed:Roche-Joob-Feed,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +150483ff-0cb7-45e3-83dd-e785bdb3bfe3,74695683,KPMG,"Data Analyst, Consultant - GRCS Risk Consulting",on_site,"Toronto, Canada",2021-07-30T20:04:07.806Z,"Overview

                                              You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                              Be a part of our expanding and diverse global network of digital teams servicing clients in 147 countries. When you join KPMG you’ll be one of over 219,000 professionals identifying how digital technology can drive transformative growth and enable our clients to gain a competitive advantage to be at the forefront of the digital evolution.

                                              With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                              Video: Digital Opportunities

                                                +
                                              • Work closely with clients in understanding key business issues.
                                              • +
                                              • Gather and analyze requirements to develop impactful recommendations and solutions.
                                              • +
                                              • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                              • +
                                              • Develop a strong experience in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                              • +
                                              • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                              • +
                                              • Work with large volumes of data (structured and unstructured).
                                              • +
                                              • Run queries for descriptive analytics and provide formatted result sets.
                                              • +
                                              • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                              • +
                                              • Bridge the gap between technical platform needs and business issues.
                                              • +
                                              • Perform quantitative analysis of data issues.
                                              • +
                                              • Effectively communicate orally and written with peers within Governance, Risk and Compliance Services (GRCS), KPMG and the client.
                                              • +
                                              • +Learn more about Risk Consulting here +
                                              • +
                                              • +Learn more about our Toronto office here +
                                              • +

                                              What you will do

                                              As a Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                +
                                              • Work closely with clients and partners on digital opportunities.
                                              • +
                                              • Perform In-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients.
                                              • +
                                              • Work with unique data analytic programs to deliver innovative solutions to our clients.
                                              • +
                                              • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models.
                                              • +
                                              • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations.
                                              • +
                                              • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources.
                                              • +
                                              • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members.
                                              • +
                                              • Develop complex SQL queries to ask questions of large/complex datasets.
                                              • +

                                              What you bring to the role

                                              You have strong work experience and academic record, and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                +
                                              • Strong experience of 2-3 years, working with data from a variety of databases.
                                              • +
                                              • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks.
                                              • +
                                              • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                              • +
                                              • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries.
                                              • +
                                              • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset.
                                              • +

                                              Keys to your success:

                                                +
                                              • Ability to explain data and analytics concepts to non-technical team members.
                                              • +
                                              • Ability to apply data and analytics concepts to business problems.
                                              • +
                                              • Ability to understand and explain business value of data and analytics concepts
                                              • +
                                              • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                              • +
                                              • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                              • +
                                              • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                              • +
                                              • +Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                              • +


                                              Our Values, The KPMG Way

                                              Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                              KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                              If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                              For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                              ",,https://careers.kpmg.ca/professionals/jobs/10631?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2021-09-04T17:22:41.763Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/74695683-data-analyst-consultant-grcs-risk-consulting-at-kpmg,https://careers.kpmg.ca/professionals/jobs/10631?lang=en-us,expired,2021-07-30T20:04:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,College Diploma,New Posting, +c108d9cf-5e84-4170-9568-c21517cea246,75103296,EllisDon,Data Analyst,on_site,"Mississauga, ON, CAN Mississauga, ON, CAN",2021-08-03T00:34:10.526Z,"

                                              Job Details

                                              Description

                                              +

                                              Connect with us LinkedIn, Instagram, Facebook, Twitter

                                              +

                                              Thinking about a change?

                                              +

                                              The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                              +

                                              Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                              +

                                              In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                              +

                                              You as a Data Analyst (Insight and Analytics) will:

                                              +
                                                +
                                              • Assist with the overall definition and development of the self-service BI program, including, but
                                                not limited to: PowerBI configuration and administration, defining best practices and guidelines,
                                                authoring training and tutorial materials, lead training / onboarding engagements, and participate
                                                in a variety of data-related activities which will contribute towards the enablement of self-service
                                                reporting and BI capabilities for non-technical business stakeholders;
                                              • +
                                              • Apply your knowledge of quantitative and programmatic methods; expertise with data analysis
                                                tools and techniques; and critical-thinking skills to derive actionable information from data;
                                              • +
                                              • Distill complex relationships and large amounts of data into intuitive, informative, and descriptive
                                                PowerBI reports, dashboards, and KPI scorecards that will be used to empower business
                                                stakeholders and guide business decisions;
                                              • +
                                              • Partner with business and product stakeholders to assist in the identification and documentation
                                                of business and data usage requirements, processes, needs, and key performance indicators;
                                              • +
                                              • Draw on your extensive experience and expertise to contribute towards the development and
                                                enhancement of best practices in key areas of data modelling, data preparation, data integration,
                                                data analysis, data warehousing, and other domains of data management;
                                              • +
                                              • Drive the continuous improvement and overall state of data governance and quality across the
                                                organization, while leveraging technology to augment metadata, governance, and stewardship
                                                initiatives.
                                              • +
                                              +

                                              Is this the right role for you?

                                              +
                                                +
                                              • Degree in Mathematics, Engineering, Computer Science, Data Science, or equivalent. Minimum
                                                five (5) years of industry experience in a data management, analysis, and/or data analyst role(s).
                                              • +
                                              • Expert-level proficiency and extensive experience with the following:
                                                  +
                                                • Data Analysis: SQL, Python, DAX queries, Excel;
                                                • +
                                                • Microsoft Business Intelligence Stack: PowerBI, SSAS, SSRS, SSIS;
                                                • +
                                                • Data integration, modelling, preparation, warehousing, and analysis;
                                                • +
                                                • Data Governance and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                                • +
                                                +
                                              • +
                                              • Practical working knowledge of the following areas:
                                                  +
                                                • Agile Development Methodologies;
                                                • +
                                                • Data Warehouse: Azure SQL DW, Synapse, GCP BigQuery
                                                • +
                                                • Data Architecture;
                                                • +
                                                • Cloud Services: (Microsoft Azure, GCP, AWS);
                                                • +
                                                • Project Management Tools: JIRA, Wrike;
                                                • +
                                                +
                                              • +
                                              • Experience and knowledge of construction-related processes and best-practices an asset;
                                              • +
                                              • Demonstrated experience solving business problems using quantitative analysis;
                                              • +
                                              +

                                              +

                                              EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                              +

                                              Go ahead and be yourself. We'll pay you for it!

                                              +

                                              We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                              +

                                              Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                              +

                                              We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                              Qualifications

                                              Skills

                                              Behaviors

                                              :

                                              Motivations

                                              :

                                              Education

                                              Experience

                                              Licenses & Certifications

                                              ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d242210d-0812-436d-a4a3-e220e2d5aba5,feed-importer@jobboard.io,,,,2021-08-20T00:39:30.636Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/75103296-data-analyst-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d242210d-0812-436d-a4a3-e220e2d5aba5,expired,2021-08-03T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, +f5230458-9abd-4dea-a129-bf6e9ef09b1b,75154085,OMERS,Senior Data Engineer,temporary,"Toronto, ON, Canada",2021-08-03T20:47:42.966Z,"

                                              Why join us?

                                              +

                                              +

                                              Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                              At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                              +

                                              +

                                              As a key member of the Data & Advanced Analytics team, the role of Senior Data Engineer is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality data assets to support investment decision making.

                                              In this position, you will operationalize and maintain data pipelines deployed to the OMERS investment entities and cultivate a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration through the implementation lifecycle of projects and solutions.

                                              This role is accountable for ensuring that all projects, solutions and platforms align with and support overall enterprise Data & Technology strategy & goals, and adhere to company policies, industry standards and best practices.

                                              +

                                              +

                                              +

                                              As a member of this team, you will be responsible for:

                                              +
                                                +
                                              • Deploying ETL pipelines to achieve a high level of reliability, scalability and security.
                                                Sourcing, transforming and delivering structured and unstructured assets for use in Azure Databricks, SQL Server, and Power BI.
                                              • +
                                              • Operating in an Agile development environment.
                                              • +
                                              • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.
                                              • +
                                              • Participating in solution build, delivery, support and troubleshooting
                                              • +
                                              • Leading change and communicating impacts to business partners and fellow team members
                                              • +
                                              • Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget
                                              • +
                                              • Participating in establishing sound data management practices for the team and the organization
                                              • +
                                              • Identifying, defining and implementing opportunities for enhancing existing processes
                                              • +
                                              • Defining and executing technical test plans and perform unit and integration testing
                                              • +
                                              +

                                              +

                                              To succeed in this role, you have:

                                              +
                                                +
                                              • +Experience. 3+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                              • +
                                              • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                              • +
                                              • +Relationship Building. A proven track record of building deep technical relationships. Experience in aligning expectations across various partners.
                                              • +
                                              • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                              • +
                                              • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                              • +
                                              • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required
                                              • +
                                              • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Subject Matter Expertise in two or more of the following Data Platform resources is required:

                                                +
                                                  +
                                                • Azure Databricks using Python
                                                • +
                                                • Azure Functions v2/3 using C# or Python
                                                • +
                                                • Azure Machine Learning
                                                • +
                                                +
                                              • +
                                              • Experience with on-premise SQL Server Data Tools
                                              • +
                                              • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies
                                              • +
                                              • Bachelor’s Degree in an appropriate field of study or equivalent work experience
                                              • +
                                              • Microsoft certifications are preferred
                                              • +
                                              +

                                              +

                                              +

                                              +

                                              +

                                              Our story:

                                              +

                                              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                              +

                                              +

                                              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                              ",,https://omers.wd3.myworkdayjobs.com/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer_JR-1051,aitalent@vectorinstitute.ai,https://www.omers.com/careers,,,2021-09-02T20:47:55.925Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/75154085-senior-data-engineer-at-omers,,expired,2021-08-03T20:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +994fb6c2-dfaa-42c2-9a77-4ad346131c79,75587173,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-08-05T00:34:13.829Z,"
                                              +
                                              About Us
                                              +
                                              Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.

                                              -
                                              We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.
                                              +
                                              Ideal Candidate
                                              +
                                              Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                              -

                                              About You

                                              +

                                              What You’ll Be Doing:

                                                  -
                                                • 1-3 years (or equivalent) experience as a Data Scientist/Machine Learning Developer/Engineer
                                                • -
                                                • Strong understanding of ML. Preferably worked on NLP problems before but not required
                                                • -
                                                • Experienced in designing and tracking efficient and thorough data science experiments
                                                • -
                                                • Skilled in Python and Pytorch
                                                • -
                                                • Strong software and data engineering practices
                                                • +
                                                • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                • +
                                                • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                • +
                                                • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                • +
                                                • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                              -

                                              Outcomes

                                              +

                                              What You Bring:

                                                  -
                                                • Help contribute improvements and maintenance for Ada’s underlying ML technologies
                                                • -
                                                • Execute on our ambitious Machine Learning product roadmap through the implementation of features
                                                • -
                                                • Review the team’s code and experiments, seek and provide feedback, and improve your understanding of the field
                                                • -
                                                • Help identify areas of opportunity and innovation within our product
                                                • +
                                                • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                • +
                                                • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                • +
                                                • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                • +
                                                • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                • +
                                                • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                • +
                                                • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                • +
                                              +
                                              +

                                              What we offer:

                                              +
                                                  +
                                                • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                • +
                                                • A highly competitive salary and meaningful equity compensation.
                                                • +
                                                • Exceptional opportunities for learning and growth.
                                                • +
                                                • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                              -
                                              #LI-FT
                                              -

                                              -
                                              About Us
                                              -

                                              -
                                              Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration and generally, the way we work for the digital world instead of in-person. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.
                                              -

                                              -
                                              We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                              +
                                              +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

                                              -
                                              Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
                                              -
                                              ",,https://jobs.lever.co/ada/07b9bfa7-f5b2-425c-9d51-c5292d645b7e,feed-importer@jobboard.io,,,,2021-10-03T17:01:06.798Z,False,0,13,108,https://talenthub.vectorinstitute.ai/jobs/80939911-machine-learning-scientist-at-ada,https://jobs.lever.co/ada/07b9bfa7-f5b2-425c-9d51-c5292d645b7e,expired,2021-09-03T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -f8db8d74-011f-4bc5-8ced-12d9f4f78723,81023679,CIBC,Data Scientist Co-op,on_site,"Toronto, ON, Canada",2021-09-03T17:39:24.921Z,"

                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                              +
                                              Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                              +
                                            ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-09-04T17:10:10.275Z,False,0,4,35,https://talenthub.vectorinstitute.ai/jobs/75587173-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-08-05T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +79eccd5d-c200-4254-93cc-b7a59363a6d8,76883329,EY,Data Analytics Staff,on_site,Toronto,2021-08-13T03:29:12.049Z,"

                                            Data Analytics Staff

                                            Location: Toronto
                                            Other locations: Primary Location Only
                                            Date: Sep 9, 2021

                                            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                            +

                                            +

                                            The Opportunity

                                            As a data analytics staff, you will join tenthree|labs to work with our audit teams as they leverage data analytics to improve audit efficiency and quality. This is a unique role for you to get heavily involved in both the audit and data analytics process and make an immediate impact working closely with audit teams to help establish and build strong client relationships.

                                            In the lab, you will be joined by a team of multidisciplinary professionals in versatile roles, which includes data analytics, programming, robotic process automation, data visualization, etc. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.

                                            Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                            +

                                            +

                                            Responsibilities, Qualifications, Certifications

                                            +

                                            +

                                            Your key responsibilities

                                            +
                                            • Work within tenthree|labs to export, transform, validate and output large and complex data sets for use in EY’s data analytics tools
                                            • Work and build strong relationships with EY audit teams while co-developing a robust and repeatable data analytics delivery process
                                            • Proactively monitor, manage, and execute projects with engagement teams
                                            • Collaborate with the data analytics and engagement teams to design and implement improvements to the data delivery process
                                            • +
                                            +


                                            To qualify for this role, candidates must have a combination of

                                            +
                                            • An undergraduate degree in business or accounting with a minor in computer science, computer science, computer engineering, data analysis, financial mathematics or another related field
                                            • A basic understanding of a company’s financial reporting process and financial terms
                                            • Strong interest in data analytics, data transformation, robotics process automation, and finance or accounting
                                            • Strong project management and organizational skills with an ability to multitask
                                            • Excellent communication skills with an ability to explain technical terms to a non-technical audience
                                            • A critical and logical thinker who is able to work both independently and in a team environment
                                            • Process driven individual with a strong attention to detail
                                            • +
                                            +


                                            Make your mark. Apply today.

                                            Who we are

                                            EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

                                            EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                            +

                                            +

                                            EY | Building a better working world

                                            +


                                            EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                            +


                                            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                            +


                                            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                            ",,https://careers.ey.com/ey/job/Toronto-Data-Analytics-Staff-ON-M5H-0B3/703365501/,feed-importer@jobboard.io,,,,2021-09-19T18:27:14.783Z,False,0,6,31,https://talenthub.vectorinstitute.ai/jobs/76883329-data-analytics-staff-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Analytics-Staff-ON-M5H-0B3/703365501/,expired,2021-08-13T03:29:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +16198a8f-019c-4c06-a238-ff04bbe85e62,78022092,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Ontario, Canada",2021-08-18T07:06:04.244Z,"
                                            +

                                            A Leader in Automating Intelligent Industrial Operations

                                            +

                                            At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                            +

                                            Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. CanvassAnalytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                            +

                                            We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                            +

                                            Things you should know about our product & teams

                                            +

                                            · We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems

                                            +

                                            · We use Keras, SciKit-Learn,XGBoost, SHAP and regularly research and add new libraries to our stack

                                            +

                                            · Our pipelines and micro services are developed predominantly with Python

                                            +

                                            · We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines

                                            +

                                            · We use CircleCI to continuously test, integrate and deploy code changes, including ML

                                            +

                                            What we’re looking for:

                                            +

                                            We’re looking for candidates with:

                                            +

                                            · Experience applying machine learning and deep learning algorithms to time-series problems

                                            +

                                            · Strong knowledge of probability and statistics, plus a passion for working with data

                                            +

                                            · The ability to implement feature engineering and data transformations at scale

                                            +

                                            · Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries

                                            +

                                            · An understanding of micro service architecture and containerization

                                            +

                                            · A proven track record of delivering well-designed and tested software

                                            +

                                            ​Who you are:

                                            +

                                            In general, we’re looking for engineers that exemplify these qualities:

                                            +

                                            · Activation & Engagement Our engineers are critical to the progress of our application and our business. We expect our engineers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.

                                            +

                                            · Teamwork & Collaboration Our teams are small and extremely collaborative. You will work very closely with DevOps, ProductDevelopment and Customer Success to meaningfully impact the business every week.

                                            +

                                            · Excellence & Craft Cloud infrastructure is more than just keeping the lights on 24/7. We need to build secure, scalable systems that are also easy to understand and easy to extend so that they can evolve with our business. We want our engineers to take pride in what they build.

                                            +

                                            · Communication & Leadership An engineer can have a large impact by helping to grow the abilities and understanding of their teammates.We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.

                                            +

                                            Your Benefits

                                            +

                                            Some of the benefits you can expect as part of our team include:

                                            +

                                            · Awesome team and culture (every day)

                                            +

                                            · Generous time off, including vacation and personal days to help rejuvenate

                                            +

                                            · Extended health benefits, including drug coverage, dental coverage, and Health Spending Account

                                            +

                                            · Flexible office policy, with options to work remotely

                                            +

                                            · Attend Conferences to extend your knowledge and skills

                                            +

                                            · Company-provided MacBooks and standing desks

                                            +

                                            · Top technology and tools to excel at your role

                                            +

                                            · Free team lunches

                                            +

                                            Why Join Canvass?

                                            +

                                            Canvass Analytics is using AI to automate operations for theIndustrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange asa Top 20 Most Innovative Canadian Company. Canvass is backed by Google’sGradient Ventures.

                                            +

                                            What\'s it like working at Canvass?

                                            +

                                            This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                            +

                                            Apply Now

                                            +

                                            Think this job is meant for you but worried you don’t have it all?If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                            +

                                            You can also follow us on Twitter or LinkedIn to learn more about us.

                                            +

                                            Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                            +
                                            ",,https://www.canvass.io/careers/machine-learning-engineer,feed-importer@jobboard.io,,,,2021-09-19T18:32:00.000Z,False,0,13,44,https://talenthub.vectorinstitute.ai/jobs/78022092-machine-learning-engineer-at-canvass-analytics-inc,,expired,2021-08-18T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,Re-Posting an Expired Job, +848b2f20-b9d9-41d1-9cc6-a2c33387f448,78059401,Vector Institute,"Program Coordinator, Talent Initiatives (Contract)",on_site,"Toronto, ON, Canada",2021-08-18T13:41:47.326Z,"

                                            POSITION OVERVIEW

                                            -

                                            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                            +

                                            The Vector Institute is seeking a Program Coordinator, Talent Initiatives to join our growing team in Toronto. Reporting to the Director, Academic Partnerships, the Program Coordinator, Talent Initiatives is a key contributor to the team’s targeted initiatives to develop future generations of top AI talent. In this dynamic role, you will perform administrative and business functions to support the Academic Partnerships team members and programs.

                                            -

                                            To learn more about CIBC, please visit CIBC.com

                                            +

                                            EMPLOYMENT TYPE

                                            -

                                            Job Description

                                            +

                                            Contract (12 months)

                                            -

                                            What you’ll be doing

                                            -

                                            As a Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from client facing to operational, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in teamwork with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                            +

                                            KEY RESPONSIBILITIES

                                            -

                                            How you’ll succeed

                                              -
                                            • -Data: You’ll extract, explore, and wrangle data from various sources/formats to appropriately prepare it for further study
                                            • -
                                            • -Problem solving: You’ll apply business-relevant statistical, machine learning, or deep learning approaches to solve business challenges
                                            • -
                                            • -Programming: You’ll have an opportunity to program data science applications that directly solve business challenges, considering infrastructure and end-use constraints
                                            • -
                                            • -Deployment: You’ll assist with the deployment of end-to-end data science applications
                                            • +
                                            • Administer the daily operations behind the Vector Digital Talent Hub, including approving candidate profiles, posting curated roles, removing expired roles, etc.
                                            • +
                                            • Support the maintenance, cleaning, and analysis of data relating to the Talent Hub, alumni employment outcomes, recruitment contact data and other AI-talent related data.
                                            • +
                                            • Assist with outgoing talent-related communications to affiliated employers, including executing MailMerge campaigns, creating relevant slide presentations and managing correspondence to talent-related inbox.
                                            • +
                                            • Track alumni outcome data to measure workforce attachment to Ontario.
                                            • +
                                            • Assist with the creation of resume books showcasing Vector Talent.
                                            • +
                                            • Assist in the coordination of recruitment-oriented internal and external-facing events, with sponsors and other stakeholder organizations.
                                            • +
                                            • Other duties as assigned.

                                            -

                                            Who you are

                                            +

                                            PROFILE OF IDEAL CANDIDATE

                                              -
                                            • -Developer: You have some experience coding with at least one scripting language, e.g. python and a statistical/analytics software tool such as R
                                            • -
                                            • -Data analytics: You have the technical skills to review and evaluate data to find innovative opportunities and share with partners
                                            • -
                                            • -Problem Solving: You enjoy being presented with problems or issues and working with a team to find innovative solutions
                                            • -
                                            • -Communication: You have excellent verbal and written communication skills to effectively articulate ideas and opinions that involve reserch, interpretation, and assessment.
                                            • -
                                            • -Process Improvement: You enjoy the process of reviewing current processes and identifying improvements that will optimize or improve standards
                                            • -
                                            • -Creativity: You are curious and enjoy working in a team to visualize and design innovative solutions
                                            • -
                                            • -Inspired: Your passionate about growing your knowledge and you know there is no limit to what you can achieve
                                            • -
                                            • -Teamwork: You care about people and understand different perspectives. You work well with others and learn from the experiences of others.
                                            • -
                                            • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability
                                            • +
                                            • You are passionate about growing Canada’s global leadership in AI research.
                                            • +
                                            • You are highly organized, with strong time management and multi-tasking skills and are motivated to work in a fast-paced environment with different stakeholders, including professional staff, students and alumni, as well as academics.
                                            • +
                                            • You are action oriented and have a demonstrated ability to take direction and turn it into actionable results.
                                            • +
                                            • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                            • +
                                            • You possess a positive attitude, integrity, a sense of humour, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                            • +
                                            • You have excellent verbal and written English communication skills.
                                            • +
                                            • You possess a high level of proficiency with GSuite or the Microsoft Suite of applications, Excel or Gsheets in particular (with an emphasis on data manipulation and visualization skills).
                                            • +
                                            • Having proficiency with the following applications is a plus: relational databases (e.g., MS Access, SQL) and data visualization software (e.g., Google Data Studio, Power BI).
                                            • +
                                            • You have a keen eye for detail, design and data presentation (e.g., charts and graphs).
                                            • +
                                            • You understand how to turn data into insight and can produce basic statistics.

                                            -

                                            Important information

                                            -

                                            Please note, we have multiple positions available under this posting and you may be considered by more than one hiring team

                                            +

                                            Please address applications (cover letter and resume) to Tolu Onajin, Human Resources Business Partner, using the link provided. Review of applications will begin August 27, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                            +

                                            +

                                            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                            +

                                            +

                                            At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                            +

                                            +

                                            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=146,aitalent@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-09-17T13:41:49.541Z,True,0,8,87,https://talenthub.vectorinstitute.ai/jobs/78059401-program-coordinator-talent-initiatives-contract-at-vector-institute,,expired,2021-08-18T13:41:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Entry Level,No Degree,New Posting, +36435fc9-a11f-415d-8fba-590c064c599e,78536945,Deloitte,"Consultant/Senior Consultant, AI Strategy, Omnia AI - New Grad 2022 - National",on_site,"Toronto, ON, Canada",2021-08-20T19:32:06.947Z,"

                                            Date Posted: Aug 5, 2021

                                            +

                                            Reference Code: 78922-en_US

                                            +

                                            Our Purpose

                                            +

                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                            +

                                            By living our Purpose, we will make an impact that matters.

                                            +

                                            Lead the way across a diverse breadth of clients as they wrestle with implications of how Artificial Intelligence is changing the landscape of their industries.

                                            +

                                            What will your typical day look like?

                                            +

                                            You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                            +

                                            About the team

                                            +

                                            Omnia AI’s Strategy team is multi-disciplinary with over 75 people across offices in Vancouver, Calgary, Montreal, and Toronto. The team tackles a range of issues around data governance, privacy, ethics, and the design, enablement and operationalization of AI and Advanced Analytics applications – as well as domain specific applications in supply chain management, customer & marketing, government, financial services, and healthcare. Aside from core skillsets in strategy, design thinking, and digital transformation – the AI Strategy team also comprises of analytics professionals who apply their skills at a strategic level.

                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            In this role, the expected qualifications are:

                                              -
                                            • This job posting closes on September 22nd at midnight.
                                            • -
                                            • You are currently enrolled in a B.S./M.S in Computer Science, Engineering, Mathematics, Statistics or related quantitative field to be eligible, however, you do not need to be in a registered Co-Op program.
                                            • -
                                            • Please include your resume (no more than 2 pages) and a cover letter (no more than 1 page).
                                            • -
                                            • Work Location: As the growing situation with COVID 19 continues to evolve, further clarity on the work location will be provided at the time of your interview. Please note all employees must work within their current jurisdiction and must reside within Canada. Please note: all CIBC Co-op positions require you to be based in Canada for the duration of the term.
                                            • -
                                            • 4/8/12 months opportunities available
                                            • +
                                            • Graduating by September 2022 with an Undergraduate or Master’s degree in Business, Management or other relevant specialized degree
                                            • +
                                            • Have relevant prior work experience in Financial Services, Government/Public Sector, Healthcare, Natural Resources, and/or Customer/Marketing
                                            • +
                                            • Understand concepts related to Data Governance, Information Architecture, Metadata and/or Taxonomy
                                            • +
                                            • Understand applications of Artificial Intelligence or Advanced Analytics at an enterprise scale
                                            • +
                                            • Prior experience in consulting and/or graduate level education is preferred for consultant or senior consultant positions
                                            -

                                            -

                                            What CIBC Offers

                                            -

                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges

                                            -

                                            everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of

                                            -

                                            our team, you will:

                                            +

                                            Our shared values

                                            +

                                            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                            +

                                            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                            +

                                            Every day, we live our Purpose through the following five shared values:

                                            +
                                            • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                            +
                                            • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                            +
                                            • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                            +
                                            • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                            +
                                            • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                            +

                                            The next step is yours

                                            +

                                            Sound like The One Firm. For You? Apply by September 19, 2021 @ 11:59pm ET

                                            +

                                            To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document

                                            +

                                            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                            +

                                            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            +

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-ConsultantSenior-Consultant%2C-AI-Strategy%2C-Omnia-AI-New-Grad-2022-National-ON-M5C-3G7/774842700/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2021-09-19T19:32:12.874Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/78536945-consultant-senior-consultant-ai-strategy-omnia-ai-new-grad-2022-national-at-deloitte,,expired,2021-08-20T19:32:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +5961d5c8-b10d-471e-b2aa-9c85acb6b2b0,78658361,TD Bank Group,"Senior Advisor, Business Insights and Analytics",on_site,"Toronto, ON",2021-08-21T15:45:33.096Z,"
                                            +

                                            Company Overview

                                            +
                                            +

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            +

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            +
                                            +

                                            +

                                            Department Overview

                                            +
                                            +

                                            It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                            +

                                            Reporting to the AVP of Enterprise Data and Analytics – Strategy and Planning, the Senior Advisor, Business Insights will be a key member of a high performing team of Data & Analytics professionals working with the lines of business (LOB) to develop and implement best-in-class analytical solutions and help make analytics a competitive advantage for TD.

                                            +

                                            The individual may own or lead analytical projects and provide strategic and delivery level advisory to guide various lines of business across the enterprise and will work in close consultation with LOB executives and data and analytics teams across the enterprise. We are looking for a self-motivated individual who want to work in a fast paced and high impact business team.

                                            +
                                            +

                                            +

                                            Job Description

                                            +
                                            +

                                            About this Role

                                            +

                                            With your wealth of experience with data and insights, you’ll act as a top advisor to your business partners and contacts across TD. Your goal? Work positively and professionally with your partners to inspire world-class, comprehensive analytical support. As a subject matter expert on the subject, TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value. Finally, you own your space and are at the top of your game when it comes to relationship building, which will be key in your partnerships across the organization.

                                            +

                                            We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                            +

                                            As a Senior Advisor, Business Insights

                                            +
                                              +
                                            • Lead projects and initiatives to enable TD’s enterprise wide data and analytics transformation
                                            • +
                                            • Bring a consulting and horizontal skillset to lead and support multiple types of engagements encompassing people, process, data, technology aligned to key business imperatives
                                            • +
                                            • Manage relationships with Line of business partners and other key internal and external partners (LOB Analytics, EDGO, Data stewards, Platform owners, etc.)
                                            • +
                                            • Identify and articulate key LOB analytic needs and contribute to accelerating delivery
                                            • +
                                            • Own or contribute in the development of analytics related assets including analytics methodologies, playbooks and training programs
                                            • +
                                            • Provide leadership and coach the broader ED&A Strategy and Planning team to advance the team’s capabilities
                                            • +
                                            • Help make data and analytics a competitive advantage for TD – Enhance data and analytics capabilities across the Bank
                                            • +
                                            +
                                            • Play a lead role to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                            +
                                            +

                                            +

                                            Requirements

                                            +
                                            +What can you bring to TD?

                                            +

                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                            +
                                              +
                                            • Undergraduate degree or technical certificate
                                            • +
                                            • Ten (10) or more years relevant experience
                                            • +
                                            • Proven analytical and data driven leader with track record of identifying business opportunities and delivering solutions that encompass people, process, data, and technology
                                            • +
                                            • Experience developing and implementing Enterprise capabilities with business and product knowledge
                                            • +
                                            • Working with ambiguity to breakdown and solve business problems by delivering a strategy, methodology, solution/approach, and building consensus with stakeholders across technology and business
                                            • +
                                            • Demonstrated experience in promoting and increasing analytics adoption within an organization
                                            • +
                                            • Experience in consulting and data driven initiatives to lead organizational change and bringing a dynamic mindset
                                            • +
                                            • Ability to perform and use analytics to develop detailed business cases and explain business value of projects
                                            • +
                                            • Passion for analytics and a customer-driven mindset
                                            • +
                                            • Comfortable integrating into cross functional, agile teams and providing leadership across strategy and delivery
                                            • +
                                            • Excellent interpersonal and communication skills, both written and verbal
                                            • +
                                            • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
                                            • +
                                            • In-depth industry knowledge, including current big data trends and challenges globally
                                            • +
                                            • Advanced university degree in Analytics, Statistics, Mathematics, Engineering, Economics, Business Strategy or other analytically based discipline, preferably at a Masters degree or above
                                            • +
                                            +
                                            +

                                            +

                                            Additional Information

                                            +
                                            +
                                            • 7+ years of relevant experience in data analytics and/or consulting, ideally in an influencing or advisory capacity
                                            +

                                            #businessintelligence

                                            +
                                            +

                                            +

                                            Hours

                                            +
                                            37.5
                                            +

                                            +

                                            Inclusiveness

                                            +

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            +

                                            +
                                            ",,https://jobs.td.com/en-CA/jobs/13648011/senior-advisor-business-insights-and-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-08-30T17:52:27.723Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/78658361-senior-advisor-business-insights-and-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13648011/senior-advisor-business-insights-and-analytics-toronto-ca/,expired,2021-08-21T15:45:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +78c6705e-9888-43e4-b053-1bdb397a9c0e,78757687,NVIDIA,"Deep Learning Engineering Intern, Content & Technology - Fall 2021",on_site,"Ontario, Canada",2021-08-22T07:06:03.381Z,"
                                            +
                                            +
                                            +

                                            We are looking for Deep Learning Interns for our Simulation Technology team! Do you have a passion for computer gaming, virtual reality, computer vision, and artificial intelligence?

                                            +

                                            +

                                            Ever dream about inventing your own holodeck? Do you want to work on leading-edge problems alongside some of the best and brightest people in the world? NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” company that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.

                                            +

                                            +

                                            What you will be doing:

                                              -
                                            • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                            • -
                                            • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                            • -
                                            • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                            • +
                                            • You will apply deep learning techniques to the simulation of virtual environments, developing methods to generate synthetic data for training neural networks to achieve results comparable to networks trained on real data

                                            • +
                                            • Work on improving realism for agents in synthetic environments – using reinforcement learning techniques to control behavior and animation of simulated characters, crowds, and vehicles

                                            • +
                                            • Conduct research into novel Deep Learning network architectures and techniques for achieving the above.

                                            • +
                                            • Perform additional development around related technologies as applied to games, VR and visual effects applications.

                                            -

                                            -

                                            What You Need to Know

                                            +

                                            +

                                            What we need to see:

                                              -
                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                            • -
                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                            • +
                                            • Currently pursuing a PhD, MS, or BS in Computer Science or related field.

                                            • +
                                            • 1+ year experience with C++/C, CUDA, DirectX, or OpenGL in addition to Python, PyTorch and TensorFlow.

                                            • +
                                            • Expertise in neural networks, computer graphics, simulation or game development.

                                            • +
                                            • Dedication to producing high quality and creative results

                                            -

                                            -

                                            Expected End Date

                                            -

                                            2022-04-22

                                            -

                                            -

                                            Job Location

                                            -

                                            Toronto 25 King Street West

                                            -

                                            Employment Type

                                            -

                                            Temporary (Fixed Term)

                                            -

                                            -

                                            Weekly Hours

                                            -

                                            37.5

                                            -

                                            Skills

                                            -

                                            Analytics Software, Communication, Creativity, Data Analysis, Data Modeling, Data Science, IT Development, Problem Solving

                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/campus/job/Toronto-ON/Data-Scientist-Co-op_2122841,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-10-03T17:39:26.375Z,False,0,23,111,https://talenthub.vectorinstitute.ai/jobs/81023679-data-scientist-co-op-at-cibc,,expired,2021-09-03T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -855e6a2a-5b41-496c-a4b2-ce3a01635e52,81584670,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-09-05T00:34:13.015Z,"
                                            -
                                            About Us
                                            -
                                            Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                            -

                                            -
                                            Ideal Candidate
                                            -
                                            Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                            -

                                            -
                                            -
                                            -

                                            What You’ll Be Doing:

                                            -
                                                -
                                              • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                              • -
                                              • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                              • -
                                              • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                              • -
                                              • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                              • -
                                            -
                                            -
                                            -

                                            What You Bring:

                                            -
                                                -
                                              • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                              • -
                                              • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                              • -
                                              • Experience in building, testing, training, and deploying production-ready ML workflows.
                                              • -
                                              • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                              • -
                                              • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                              • -
                                              • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                              • -
                                            -
                                            -
                                            -

                                            What we offer:

                                            -
                                                -
                                              • Leading role in developing the future of drug development to cure genetically defined diseases.
                                              • -
                                              • A highly competitive salary and meaningful equity compensation.
                                              • -
                                              • Exceptional opportunities for learning and growth.
                                              • -
                                              • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                              • -
                                            -
                                            -
                                            -
                                            -Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                            -

                                            -
                                            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                            -
                                            ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-10-06T17:49:00.000Z,False,0,10,78,https://talenthub.vectorinstitute.ai/jobs/81584670-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-09-05T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -2014ee77-6a6b-4cb8-92ef-26b41271ebc3,81589175,Deloitte,"Cloud Data Architect, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-09-05T02:12:28.321Z,"
                                            -

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto; Calgary; Montreal; Vancouver

                                            -

                                            -

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Partner with clients to solve their most complex problems
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            -
                                            -
                                            -
                                            -

                                            -

                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                            -
                                            -
                                            -
                                            -

                                            What will your typical day look like?

                                            -

                                            -
                                            -
                                            -

                                            As a Cloud Data Architect on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                            -

                                            Specifically, in this role, you will:

                                            -
                                            • Lead, define, design and implement end-to-end modern data platforms in support of analytics and AI use cases
                                            • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
                                            • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
                                            • Define and develop solution architectures, lead development teams, estimate effort and mentor junior colleagues
                                            • Lead technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                            • -
                                            -
                                            -
                                            -
                                            -
                                            -

                                            About the team

                                            -

                                            -
                                            -
                                            -

                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            -

                                            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            -
                                            -
                                            -
                                            -
                                            -

                                            Enough about us, let’s talk about you

                                            -

                                            -
                                            -
                                            -

                                            You are someone with:

                                            -
                                            • 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (AWS, Azure, GCP) and hybrid architectures to enable use cases in analytics and AI
                                            • 5+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
                                            • 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
                                            • Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
                                            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired; certifications in architecture (TOGAF), data engineering and development on AWS, Azure, GCP and/or Hadoop distributions are an asset.
                                            • -
                                            -

                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                            -

                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                            -
                                            -
                                            -
                                            -

                                            Why Deloitte?

                                            -

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            -
                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            • -
                                            -


                                            The next step is yours

                                            -

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Toronto-Cloud-Data-Architect%2C-Omnia-AI-ON-M5C-3G7/772104900/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-09-17T02:41:26.060Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/81589175-cloud-data-architect-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Cloud-Data-Architect%2C-Omnia-AI-ON-M5C-3G7/772104900/,expired,2021-09-05T02:12:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -27b5aaf3-04e0-4ba7-a996-7cb80f1eec28,81866386,Delphia,Consumer Engineering Lead,full,Remote /,2021-09-07T00:34:02.711Z,"
                                            -
                                            About Delphia
                                            -

                                            -
                                            Delphia is the world’s first investment strategy anyone can improve with their data. We select stocks to a portfolio by analysing trends in both the data of our members and the market itself. This helps us predict which companies will win or lose and helping you earn the returns you deserve.
                                            -

                                            -
                                            We are building a new kind of company that re-thinks the value of privacy, data rights, and fiduciary responsibility in order to ensure your data is always working for you – like your money.
                                            -

                                            -
                                            -Whether we're identifying trends or educating people on how their data can be used to make better investment decisions, people at Delphia are socially-minded creatives at heart. Our teams are continually iterating, solving hard problems, and collaborating to generate new forms of value and economic returns for our users (we call them “members”, in fact). Working together, we want people to realise the true value of their data – and we're just getting started. -
                                            -

                                            -
                                            -Delphia is a growing (37 people), multi-disciplinary team located in the heart of downtown Toronto and around major North American cities. We began in January 2018 and are graduates of Y Combinator and the Creative Destruction Lab. We’ve raised two rounds of funding and approximately $20 million to date. -
                                            -

                                            -

                                            -
                                            It's a perfect time to join Delphia as a Consumer Engineering Lead. Delphia is using AI to invest. Our Flagship investment strategy launched in August 2021 on iOS and Android. We've got an exceptional team of researchers, designers, and engineers.
                                            -

                                            -
                                            We're looking for a leader to own delivery of our retail consumer product. We deliver our product via native mobile and web apps. We also build APIs, data systems, and internal tools on top of modern cloud infrastructure.
                                            -

                                            -
                                            One of our co-founders currently manages delivery with a ~15 person team of engineers. We're looking for someone to partner with him to take our delivery capabilities to the next level.
                                            -
                                            -
                                            -


                                            -

                                            The ideal candidate measures their performance by asking critical questions such as:

                                            -
                                                -
                                              • How's the quality of the software been? Is it improving or not?
                                              • -
                                              • How have we been doing with their milestones?
                                              • -
                                              • How's the team morale?
                                              • -
                                            -
                                            -
                                            -

                                            We want you to:

                                            -
                                                -
                                              • Use technology to solve our business problems
                                              • -
                                              • Improve our product delivery capabilities & capacity
                                              • -
                                              • Ensure no engineering team member is low performing
                                              • -
                                              • Keep 95% of your high-quality engineering team
                                              • -
                                            -
                                            -
                                            -

                                            We'd love to hear from you if you have:

                                            -
                                                -
                                              • Experience working in product companies with profit and loss exposure
                                              • -
                                              • Experience developing technical strategy
                                              • -
                                              • The ability to inspire and develop other technical leads and individual contributors
                                              • -
                                              • The ability to work with recruiters to hire talent
                                              • -
                                              • The ability to manage and scale product delivery
                                              • -
                                              • The ability to manage tech debt using a systematic approach
                                              • -
                                              • The ability to design and review system architecture
                                              • -
                                              • The ability to conduct code reviews in various languages
                                              • -
                                              • A keen understanding of consumer product metrics
                                              • -
                                            -
                                            -
                                            -

                                            Bonus points:

                                            -
                                                -
                                              • The ability to build your team using passive recruiting methods
                                              • -
                                              • Experience engaging as a technical leader in product discovery activities
                                              • -
                                              • Experience building new engineering teams from scratch
                                              • -
                                              • Experience in a B2C FinTech
                                              • -
                                              • Comfort in languages and frameworks such as Python, Django, React and SQL
                                              • -
                                            -
                                            -
                                            -
                                            As a member of the Delphia team, you will enjoy a variety of perks and benefits such as:
                                            -

                                            -
                                            -Health Benefits:
                                            -
                                            - Comprehensive Health and Dental Benefits, plus a Health Spending Account
                                            -

                                            -
                                            -Flexibility:
                                            -
                                            - Flexible work hours with the ability to work from home when need be
                                            -
                                            - Work From Anywhere Policy
                                            -
                                            - Flexible Time-Off Policy
                                            -

                                            -
                                            Investment Opportunities:
                                            -
                                            - Employee Stock Options
                                            -
                                            - Access to our Hedge Fund
                                            -

                                            -
                                            -Learning & Development:
                                            -
                                            - Tuition Reimbursement
                                            -

                                            -
                                            We are an equal opportunity employer and value diversity at our company. We do not discriminate by race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Delphia is committed to working with applicants requesting accommodation at any stage of the hiring process.
                                            -

                                            -
                                            ",,https://jobs.lever.co/delphia/36a05690-f72e-4a1c-9c8b-9ab19cadba2f,feed-importer@jobboard.io,,,,2021-09-17T04:44:22.357Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/81866386-consumer-engineering-lead-at-delphia,https://jobs.lever.co/delphia/36a05690-f72e-4a1c-9c8b-9ab19cadba2f,expired,2021-09-07T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, -5b77adef-09d5-443f-9c59-8db5c3b55ffa,81866447,RBC,"Research Scientist (AI), Enterprise Model Risk Mgmt - 8 Months (Winter 2022 Student)",on_site,"Toronto, Ontario, Canada",2021-09-07T00:36:05.910Z,"
                                            -

                                            What is the opportunity?

                                            -

                                            Please Note: this is an 8 month student opportunity.

                                            -

                                            -

                                            RBC is a global leader in applying Artificial Intelligence (AI) in various aspects of banking in order to creat value for our clients; from advice center chatbots and intlligent mobile app features in personal banking to AI- powered algorithmic trading agents in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to unwarranted potential financial, regulatory, and reputational risks.

                                            -

                                            -

                                            The Enterprise Model Risk Management (EMRM)- AI model validation team within the RBC Group Risk Management is mandated with quantification and management of the potential model risk arising from deploying AI powered techologies across the bank.

                                            -

                                            -

                                            The Research Scientist (AI Model Validation) Student will be working closely with the senior AI-scientists and risk managers to further develop the bank’s model risk framework for testing and monitoring of Machine Learning models. The role will provide a unique opportunity to get exposure to cutting edge techniques employed by a leading financial institution in validation and testing of AI models.

                                            -

                                            -

                                            What will you do?

                                            +

                                            +

                                            Ways to stand out from the crowd:

                                              -
                                            • Research and implement novel machine learning & statistical models/approaches across multiple industries working with cross-functional business teams
                                            • -
                                            • Establish scalable, efficient, automated processes for large scale data analysis, model development and validation
                                            • +
                                            • You are a great communicator and self-motivated towards team goals
                                            • +
                                            • You welcome mentoring others around you
                                            • +
                                            • Sharp mathematics skills
                                            -

                                            -

                                            What do you need to succeed?

                                            -

                                            Must Have:

                                            +

                                            +

                                            NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you\'re a creative and autonomous engineer with a real passion for technology, we want to hear from you.

                                            +

                                            +

                                            +

                                            +

                                            #deeplearning
                                            +
                                            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/Deep-Learning-Engineering-Intern--Content---Technology---Fall-2021_JR1933345-1,feed-importer@jobboard.io,,,,2021-08-26T07:11:06.667Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/78757687-deep-learning-engineering-intern-content-technology-fall-2021-at-nvidia,,expired,2021-08-22T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, +3e577705-2245-46f5-ba57-e2030ad60e6b,78895348,Borealis AI,Research Engineer – Data Systems,on_site,"Toronto, ON, Canada",2021-08-23T13:09:33.245Z,"

                                            Research Engineer – Data Systems

                                            +

                                            Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                            +

                                            We’re looking for an enthusiastic Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                            +

                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com

                                            +

                                            Your responsibilities include:

                                              -
                                            • Progress towards a PhD or M.Sc. degree in Statistics, Applied Mathematics, Econometrics, Computer Science, Electrical Engineering, Physics, Quantitative Finance,
                                            • -
                                            • Proficient programming skills in Python/R and SQL
                                            • -
                                            • Familiarity with popular ML frameworks and libraries (Scikit Learn SciPy, Pytorch, Keras, Tensorflow)
                                            • -
                                            • Comfortable with command line tools in a Linux or Windows environment e.g. Linux (bash, Powershell, ssh, etc)
                                            • +
                                            • Building data systems to support machine learning-based software solutions;
                                            • +
                                            • Conducting comparisons to existing data algorithms and baselines;
                                            • +
                                            • Reviewing, extending, and optimizing prototype data solutions;
                                            • +
                                            • Supporting projects with thorough documentation, design decisions, and capabilities.
                                            • +
                                            • Collaborating with research and business teams to model and deliver on their data needs;
                                            -

                                            -

                                            What’s in it for you?

                                            -

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +

                                            You're our ideal candidate if you:

                                              -
                                            • Leaders who support your development through coaching and managing opportunities
                                            • -
                                            • Ability to make a difference and lasting impact
                                            • -
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            • -
                                            • Opportunities to do challenging work and make a difference
                                            • -
                                            • Opportunities to building close relationships
                                            • +
                                            • A master’s or PhD degree in computer science, software engineering, or equivalent, with research experience in data systems;
                                            • +
                                            • 2+ years of software engineering experience in a high-responsibility, minimal-supervision environment;
                                            • +
                                            • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Java;
                                            • +
                                            • Solid understanding of distributed computing using CPUs and GPUs;
                                            • +
                                            • Familiarity to Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                            • +
                                            • Strong communication skills and a collaborative attitude
                                            -

                                            -

                                            -

                                            We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 10, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                            -

                                            -

                                            While there is no one date when our employees will return, we can confirm that the majority of the Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                            -

                                            -

                                            -

                                            HO2020

                                            -

                                            OAA2020

                                            -

                                            TAD2020

                                            -
                                            -

                                            -

                                            -

                                            -

                                            About RBC
                                            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                            -

                                            -

                                            Join our Talent Community

                                            -

                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                            -

                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                            -

                                            -

                                            Inclusion and Equal Opportunity Employment
                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            -
                                            ",,https://jobs.rbc.com/ca/en/job/403320/Research-Scientist-AI-Enterprise-Model-Risk-Mgmt-8-Months-Winter-2022-Student,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-09-10T00:41:26.951Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/81866447-research-scientist-ai-enterprise-model-risk-mgmt-8-months-winter-2022-student-at-rbc,https://jobs.rbc.com/ca/en/job/403320/Research-Scientist-AI-Enterprise-Model-Risk-Mgmt-8-Months-Winter-2022-Student,expired,2021-09-07T00:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -3fa037d0-8eb9-4b56-af77-4bc403a29d03,83384894,RBC,"Manager, AML Risk Analytics",on_site,"Toronto, Ontario, Canada",2021-09-14T00:36:12.385Z,"
                                            -

                                            -

                                            WHAT IS THE OPPORTUNITY?

                                            -

                                            In support of the Global Anti Money Laundering (AML) Risk Analytics team, the manager will support and sometimes provide risk assessments to mitigate the AML risk in portfolios of clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program (transaction monitoring, Financial Investigation Unit, Advisory, high-risk client, Sanctions). The manager will make use of his expertise in data analysis to identify areas of potential automation and streamline the review of large datasets from the collection of data to the delivery of the insights.

                                            -

                                            -

                                            WHAT WILL YOU DO?

                                            +

                                            What's in it for you?

                                              -
                                            • Data analysis and Data storytelling: exploring data to answer a variety of questions (Risk assessment, Investigation, project development)
                                            • -
                                            • Data pulled from a variety of source systems and transformation: SQL, Python or SAS, Excel
                                            • -
                                            • Communication of findings
                                            • -
                                            • Identify opportunities for efficiency through automation
                                            • -
                                            • Documentation for tasks at hand and provide a proper audit trail
                                            • -
                                            • Continually develop knowledge/expertise around advanced analytics techniques (Visualization, Machine learning, NLP, geospatial, graph network…), Data sources, and Financial Crimes typologies
                                            • +
                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities;
                                            • +
                                            • Ability to make a difference and lasting impact from a local-to-global scale
                                            -


                                            WHAT DO YOU NEED TO SUCCEED?

                                            -

                                            Must have

                                            +

                                            About Borealis AI

                                            +

                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                            +

                                            Inclusion and Equal Opportunity Employment

                                            +

                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            ",,https://www.borealisai.com/en/careers/employment/5105845002/,aitalent@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-09-22T13:09:34.509Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/78895348-research-engineer-data-systems-at-borealis-ai,,expired,2021-08-23T13:09:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +95f82c82-9490-453b-8344-4aaf196b7488,78895509,Borealis AI,Machine Learning Researcher,on_site,"Toronto, ON, Canada",2021-08-23T13:10:53.203Z,"

                                            What's the opportunity?

                                            +

                                            As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                            +

                                            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                            +

                                            Your responsibilities include:

                                              -
                                            • 1-2 years of experience with data analysis (from data pulling, cleansing, exploration, findings communication)
                                            • -
                                            • 1-2 years of experience with SQL and Python/SAS
                                            • -
                                            • Demonstrated ability in written and oral communication skills along with strong presentation skills. Ability to determine the information and communication needs of the stakeholders and project.
                                            • -
                                            • Strong organizational, and time management capabilities.
                                            • +
                                            • Developing novel AI solutions that facilitate impactful products;
                                            • +
                                            • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                            • +
                                            • Working with the development team to transfer research work into production;
                                            • +
                                            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                            • +
                                            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                            -

                                            Nice-to-have

                                            +

                                            You’re our ideal candidate if you have:

                                              -
                                            • Data science exposure (Machine learning (supervised/unsupervised), NLP, …)
                                            • -
                                            • Previous experience in Financial crimes investigations/ CAMS certification
                                            • -
                                            • Data journalism
                                            • -
                                            • Technology: Hadoop, spark, Scala
                                            • +
                                            • A passion for solving open problems using data and algorithms;
                                            • +
                                            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                            • +
                                            • Ability to formulate and drive a research project independently without close supervision;
                                            • +
                                            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                            -


                                            What’s in it for you?

                                            -

                                            We thrive on the challenge to be our best, progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +

                                            What’s in it for you?

                                              -
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                            • -
                                            • Leaders who support your development through coaching and managing opportunities
                                            • -
                                            • Ability to make a difference and lasting impact
                                            • -
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            • -
                                            • A world-class training program in financial services
                                            • -
                                            • Flexible work/life balance options
                                            • -
                                            • Opportunities to do challenging work
                                            • +
                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities;
                                            • +
                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                            -

                                            -

                                            -

                                            About RBC
                                            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                            -

                                            -

                                            Get Career Alerts
                                            Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                            -

                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                            -

                                            -

                                            Inclusion and Equal Opportunity Employment
                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            -

                                            -

                                            -

                                            JOB SUMMARY

                                            -

                                            City: Toronto
                                            Address: 20 King St West, 7th Floor
                                            Work Hours/Week: 37.5
                                            Work Environment: Office
                                            Employment Type: Permanent
                                            Career Level: Experienced Hire/Professional
                                            Pay Type: Salary + Variable Bonus
                                            Required Travel (%): 0
                                            Exempt/Non-Exempt: N/A
                                            People Manager: No
                                            Application Deadline: 09/23/2021
                                            Req ID: 409863

                                            -

                                            Posting Notes:

                                            -
                                            ",,https://jobs.rbc.com/ca/en/job/409863/Manager-AML-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-09-28T00:43:06.155Z,True,0,4,26,https://talenthub.vectorinstitute.ai/jobs/83384894-manager-aml-risk-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/409863/Manager-AML-Risk-Analytics,expired,2021-09-14T00:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b3bb6c81-8323-4e86-8498-3404211cf791,83570608,NVIDIA,"Research Scientist Intern, Simulation Technology",full,"Toronto, ON, Canada",2021-09-15T07:32:53.979Z,"

                                            NVIDIA is searching for a world-class intern to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

                                            +

                                            +
                                            About Borealis AI

                                            +

                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.


                                            Inclusion and Equal Opportunity Employment

                                            +

                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            ",,https://www.borealisai.com/en/careers/employment/5409806002/,aitalent@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-09-22T13:10:54.330Z,False,0,12,135,https://talenthub.vectorinstitute.ai/jobs/78895509-machine-learning-researcher-at-borealis-ai,,expired,2021-08-23T13:10:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, +fae0849f-a5b1-4bb6-9f90-537dce802555,79029560,Thomson Reuters,Associate Architect - Data Engineering,on_site,"Ontario, Canada",2021-08-24T12:29:03.049Z,"
                                            +
                                            +
                                            +

                                            Associate Architect

                                            +

                                            +

                                            As a technologist at Thomson Reuters, you will help shape the global knowledge economy. Our technology ensures that professionals around the world have the answers they need. You will work with the brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s top provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career. Bring your passion for innovation, and together we’ll make a difference.

                                            +


                                            About the Role

                                            +

                                            +

                                            In this role you will:

                                            +

                                            +
                                              +
                                            • +Be a Technical Leader – provide thought leadership and guidance in setting the architecture vision and direction for an extendible and maintainable set of editorial system and publishing capabilities. Work with technology teams and beyond to realize their implementation +
                                            • +
                                            • +Be a Team Player – ability to work in a collaborative and inclusive team-oriented environment, partner with cross functional and remote teams, draw out strong design ideas from diverse teams and high performing engineers, and translate requirements into actionable architecture
                                            • +
                                            • +Be an Effective Communicator – ability to concisely and completely articulate complex technical issues; ability to target your audience, actively listen, and value diverse ideas
                                            • +
                                            • +Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced dynamic environment to deliver solutions against strict timelines
                                            • +
                                            • +Be Curious & Innovative – ability to question the status quo. Continuously update yourself with industry trends, next generation technology, and software development best practices.
                                            • +
                                            +

                                            +

                                            About You

                                            +
                                              +
                                            • Experience in software design, methodologies (especially Agile), and tools
                                            • +
                                            • Broad experience in enterprise-class system, full-stack, design and development including use of the following technologies: Java, Front-End Technologies (e.g., JavaScript, jQuery, Angular), XML (DOM, SAX), DHTML/XHTML/HTML5, CSS, Database and SQL (e.g., Oracle, SQL Server), as well as NoSQL, Messaging Technologies (e.g., IBM MQ, Kafka), APIs (e.g., REST, SOAP), Web Services (e.g, Tomcat), MS ADO, Eclipse, Ant, Maven, Junit
                                            • +
                                            • Must be an excellent communicator when speaking, writing, and in diagramming
                                            • +
                                            • Excellent interpersonal skills with an ability to operate across organizational boundaries and to influence business stakeholders, as well as technology peers
                                            • +
                                            • Advanced analytical skills with the ability to synthesize business requirements with technology capabilities to produce coherent technical designs
                                            • +
                                            • Demonstrated ability to quickly learn and analyze new technologies
                                            • +
                                            • Have 5+years relevant experience in large distributed systems, including 1+ years architecture/ design experience.
                                            • +
                                            • You may also have:
                                                +
                                              • Cloud experience (AWS or Azure)
                                              • +
                                              • Experience in Cognitive Computing (e.g, Machine Learning, NLP, Classification, Clustering)
                                              • +
                                              • Architecting API-first solutions
                                              • +
                                              • Experience in processing large volumes of data
                                              • +
                                              • System load and scale testing
                                              • +
                                              +
                                            • +
                                            +

                                            +

                                            +

                                            What’s in it For You

                                            +

                                            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                            +
                                              +
                                            • +Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to cutting-edge technology
                                            • +
                                            • +Benefits: Flexible work arrangements, comprehensive health coverage that’s effective day one
                                            • +
                                            • +Perks: Social events & activities, employee discount programs through corporate perks
                                            • +
                                            +

                                            +

                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                            +

                                            +

                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                            +

                                            +

                                            +

                                            #LI-JS1

                                            +


                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                            +

                                            +

                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                            +

                                            +

                                            Accessibility

                                            +

                                            +

                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                            +

                                            +

                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                            +

                                            +

                                            Protect yourself from fraudulent job postings click here to know more.

                                            +

                                            +

                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                            +
                                            +
                                            ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Associate-Architect_JREQ145372?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2021-09-24T18:04:26.829Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/79029560-associate-architect-data-engineering-at-thomson-reuters,,expired,2021-08-24T12:29:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, +a2763127-bf42-4afd-ab46-ce01b3884808,79227610,TD Bank Group,DATA & ANALYTICS ASSOCIATE PROGRAM- DS&AA (GRADUATE),on_site,"Toronto, ON, Canada",2021-08-25T17:41:36.125Z,"

                                            Company Overview

                                            +

                                            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                            +

                                            TD’s Colleague Promise: A better you. A better us.

                                            +

                                            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                            -

                                            Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

                                            +

                                            Department Overview

                                            +

                                            Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                            +

                                            Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                            +

                                            As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                            -

                                            What you’ll be doing:

                                            +

                                            Job Description

                                            +

                                            The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                              -
                                            • Gain hands on experience with designing and implementing various machine learning techniques
                                            • -
                                            • Partner and collaborate with other forward-thinking team members and external researchers
                                            • -
                                            • Have the opportunity to participate and speak at conferences and events
                                            • -
                                            • Publish original research
                                            • -
                                            • Work with intelligent machines powered by AI computers that can learn, reason and interact with people in multiple industries
                                            • +
                                            • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                            • +
                                            • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                            • +
                                            • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                            • +
                                            • Build production-scale solutions and work with deployment teams to integrate in business operations
                                            • +
                                            • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences

                                            -

                                            What we need to see:

                                            +

                                            Requirements

                                              -
                                            • Currently pursuing a B.Sc, Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
                                            • -
                                            • Good communications skills.
                                            • -
                                            • Please include your internship availability in your application
                                            • +
                                            • Must be graduated between May 2020 and May 2022 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                            • +
                                            • At least 2 years of professional experience; which can include work terms during your completion of studies.
                                            • +
                                            • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                            • +
                                            • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                            • +
                                            • Experienced in one or more of:
                                                +
                                              • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                              • +
                                              • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                              -

                                              -

                                              Requirements if pursuing a Bachelor’s:

                                              -
                                                -
                                              • Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
                                              • -
                                              • Track record of academic excellence
                                              • + +
                                              • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                              • +
                                              • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                              • +
                                              • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                              • +
                                              • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                              • +
                                              • Remain current with emerging trends and technologies in Data Science.

                                              -

                                              Requirements if pursuing a Master’s or PhD:

                                              +

                                              Additional Information

                                                -
                                              • In-depth knowledge of the theory and practice of machine learning
                                              • -
                                              • Minimum 1 strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
                                              • -
                                              • Knowledge of common machine learning frameworks
                                              • -
                                              • Track record of research excellence
                                              • +
                                              • +Application Deadline: September 12th, 2021
                                              • +
                                              • +Anticipated Start Date: January 4th, 2022 OR July 4th, 2022 (pending academic completion)
                                              • +
                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                              • +
                                              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                              • +
                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                              • +
                                              • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                              • +
                                              ",,https://jobs.td.com/en-CA/jobs/13657753/data-analytics-associate-program-ds-aa-graduate-toronto-ca/,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-09-14T07:00:00.000Z,True,0,30,132,https://talenthub.vectorinstitute.ai/jobs/79227610-data-analytics-associate-program-ds-aa-graduate-at-td-bank-group,,expired,2021-08-25T17:41:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Masters Degree,New Posting, +dc2ea6b8-9645-4982-8aa4-7e0740039d35,101620551,Loblaw Companies Ltd.,Senior Business & Customer Insights Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:02.832Z,"
                                              +
                                              +
                                              +

                                              Referred applicants should not apply directly to this role.

                                              +

                                              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                              +

                                              +

                                              +

                                              Location:

                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                              +

                                              +

                                              Inspired by food? Committed to excellent service? So are we.
                                              At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                              We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                              Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                              +

                                              +

                                              Why is this role important?

                                              +

                                              The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                              +

                                              We are hiring a Sr. Analyst, Business & Customer Insights

                                              +

                                              Reporting to the Director, Business & Customer Insights, the Sr. Analyst will be responsible for providing objective, value-added analysis and recommendations to facilitate discussions & decisions related to high profile loyalty initiatives. The Sr. Analyst will work with various stakeholders in the business on analytics and insights, reporting and measurement, to help the business in making key decisions and driving the PC Optimum strategy and program execution

                                              +

                                              What You'll Do:

                                              +
                                                +
                                              • Work with various business stakeholders on requests and questions into analytical problems. Requests can be strategic or tactical in nature, including but not limited to targeting, segmentation, list generation and automation, development of dashboards, reports, measurement, and data modeling
                                              • +
                                              • Responsible for the extraction, review, and preparation of complex operational and customer behavior information from a variety of databases (SQL, GCP, etc).
                                              • +
                                              • Use Cloud based Python/Scala environment to process big data, conduct analysis, and visualizing the results.
                                              • +
                                              • Generate meaningful insights to solve business problems, identify new opportunities and drive strategy.
                                              • +
                                              • Build presentations to clearly articulate insights, while simplifying complex data and processes for various levels of audiences including senior management
                                              • +
                                              • Work collaboratively with business partners in marketing, digital, loyalty strategy, technology, and divisional teams
                                              +
                                              • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value-added recommendations
                                              +

                                              What You'll Need:

                                              +
                                                +
                                              • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                              • +
                                              • 3-5 years related work experience in an analytical role. Experience ideally in Retail, Loyalty, CPG industry, Consumer Finance, Telecommunications, or Consulting
                                              • +
                                              • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). Advanced SQL is mandatory.
                                              • +
                                              • Experience with cloud platforms (i.e. GCP and Azure) is an asset
                                              • +
                                              • Experience with visualization tool (i.e. Tableau, PowerBI and etc) is an asset
                                              • +
                                              • Ability to synthesize large amounts of data into actionable insights
                                              • +
                                              • Strong ability to build presentations and present complex ideas in a clear, articulate way
                                              • +
                                              • Strong interpersonal skills and comfortable proactively leading discussions and collaborating with cross functional teams
                                              • +
                                              • Demonstrate strong business acumen – understanding of how data/insights translates into business value
                                              • +
                                              • Advanced skills in Microsoft Office suite (Excel, Powerpoint)
                                              • +
                                              • Strong attention to detail
                                              • +
                                              • Creativity for thinking of new ideas, with a strong curiosity and willingness to ask questions
                                              • +
                                              +

                                              +

                                              COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                              +

                                              +

                                              In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                              +

                                              +

                                              +

                                              +

                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                              +

                                              +

                                              +

                                              +

                                              Employment Type:

                                              Full time

                                              +

                                              +

                                              Type of Role:

                                              Regular

                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                              +

                                              +

                                              Please Note:  
                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                              +
                                              +
                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-06T18:00:13.249Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/101620551-senior-business-customer-insights-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Business---Customer-Insights-Analyst_R2000225196?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +85b368e8-a1c4-46e0-929d-e0c906ceb975,100085645,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2021-12-20T20:32:08.146Z,"
                                              +

                                              Company Overview

                                              +
                                              +

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              +

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              +

                                              -

                                              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Memory Subsystem Design Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                                              +

                                              Department Overview

                                              +
                                              +

                                              What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                              +

                                              We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                              +

                                              -

                                              #NVIDIATorontoAI

                                              -

                                              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Research-Scientist-Intern--Simulation-Technology_JR1946023,aimasters@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2021-10-15T07:32:55.235Z,False,0,32,180,https://talenthub.vectorinstitute.ai/jobs/83570608-research-scientist-intern-simulation-technology-at-nvidia,,expired,2021-09-15T07:32:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, -b181f5ae-1bd5-42f4-81c4-1a682295aa31,83570661,OMERS,"Student Analyst, Portfolio Analytics (Winter 2022)",on_site,"Toronto, ON, Canada",2021-09-15T07:39:54.939Z,"
                                              • -

                                                Why join us?

                                                -

                                                -

                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                -

                                                Are you ready to unleash your potential and join a high-performing team of investment professionals who value hard work, fun and camaraderie? As a Student Analyst, Portfolio Analytics, at OMERS Capital Markets, you will be part of a team of investment professionals that are building a world-class portfolio analytics platform. If you are passionate about data management and analytics and enjoy working with large amounts of data, we want to hear from you!

                                                +

                                                Job Description

                                                +
                                                +

                                                +

                                                About this Role

                                                +

                                                As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                +

                                                In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                +

                                                +

                                                As a Senior Business Insights Analyst, you will:

                                                +
                                                  +
                                                • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                                • +
                                                • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                • +
                                                • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                                • +
                                                • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                                • +
                                                • Execute on data requests accurately and within a timely manner
                                                • +
                                                • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                                • +
                                                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                • +
                                                • Provides day-to-day support and delivery of analytics
                                                • +
                                                • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                                • +
                                                • Considered an authority within a given area
                                                • +
                                                • Oversee and/or independently perform tasks from end to end
                                                • +
                                                +

                                                -

                                                At OMERS, you can expect:
                                                - Collaboration with colleagues and leaders who offer diverse experiences and expertise in a supportive environment
                                                - The opportunity to develop and grow your investment expertise while being a part of an engaged team of investors committed to meeting the pension promise
                                                - Ongoing learning, mentorship and networking opportunities

                                                As a member of this team, you will be responsible for:
                                                - Develop and implement quantitative analytical tools involving large amounts of data from a wide spectrum of data types
                                                - Develop tools to help mathematically model an array of security types (bonds, swaps and derivatives)
                                                - Deliver the analytic result in simple and convenient visualization
                                                - Work closely with colleagues across Capital Markets, specifically the credit and risk management teams

                                                To succeed in this role, you have:
                                                - Enrolled in an undergraduate or graduate degree program in computer science, math or business
                                                - Strong academic track record combined with extra-curricular experience
                                                - Strong programming skills, with experience in Python preferred
                                                - Intermediate financial modeling skills (regression and numerical solution of differential equations)
                                                - A creative and enquiring mind
                                                - Good communication skills, team working ability and integrity
                                                - Html/SQL experience is an asset

                                                +

                                                Requirements

                                                +
                                                +What can you bring to TD?

                                                +

                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                +
                                                  +
                                                • Undergraduate degree or technical certificate
                                                • +
                                                • Five (5) or more years relevant experience
                                                • +
                                                +

                                                +

                                                Hours

                                                +
                                                37.5

                                                +

                                                Inclusiveness

                                                +

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                +
                                              ",,https://jobs.td.com/en-CA/jobs/14573014/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-03T20:38:09.716Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/100085645-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14573014/senior-business-insights-analyst-toronto-ca/,expired,2021-12-20T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d34beb08-7f32-4ed4-a8d6-39572b16dce2,38323547,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, ON, Canada",2020-08-19T13:27:10.892Z,"

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                              Be encouraged to deepen your technical skills…whatever those may be.

                                              +

                                              Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                              +

                                              What will your typical day look like?

                                              +

                                              +

                                              -

                                              Our story:

                                              -

                                              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                              +

                                              +

                                              +

                                              +

                                              Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                              +

                                              About the team

                                              +

                                              +

                                              -

                                              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                              -
                                            -

                                            Apply

                                            -
                                              -
                                              • -
                                                Posted 6 Days Ago
                                            • -
                                              • -
                                                Full time
                                            • -
                                              • -
                                                JR-1539
                                            • -
                                            -

                                            About Us

                                            +

                                            +

                                            +

                                            +

                                            Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                            +

                                            Enough about us, let’s talk about you

                                            +

                                            +

                                            +

                                            +

                                            +

                                            +

                                            +

                                            You are someone who has:

                                              -
                                            • -
                                            • Working with us is more than just a job – it is an opportunity to build a rewarding and fulfilling career. Our employees take great pride in serving the communities in which they live and contributing in a variety of ways to make important community-based initiatives possible globally.
                                            • +
                                            • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                            • +
                                            • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                            • +
                                            • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                            • +
                                            • 1+ years of hands-on experience with data management concepts
                                            • +
                                            • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                            • +
                                            • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                            -

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                                            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student-Analyst--Portfolio-Analytics--Fall-2021--4-or-8-Months-_JR-1539,aimasters@vectorinstitute.ai,https://www.omers.com/careers,,,2021-10-07T22:33:00.000Z,False,0,5,55,https://talenthub.vectorinstitute.ai/jobs/83570661-student-analyst-portfolio-analytics-winter-2022-at-omers,,expired,2021-09-15T07:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -f19bb79d-ecd6-48ac-ab24-9741c1bd4e93,84062112,Vector Institute (Internal Opportunities Only),Instructor – Data Driven Supply Chain & AI Possibilities,full,Anywhere,2021-09-17T19:29:04.224Z,"

                                            This Instructor position is for workshop (lecture and hands-on case study) development and delivery across two half-days, to members of Supply Chain Canada on the use of data analytics.

                                            -

                                            Dates

                                            -

                                            This workshop is to be held 1pm - 4pm on December 7 & 8, 2021.

                                            -

                                            Fees

                                            -

                                            This is a paid position. The flat fee for this course is $3,000 (CAD) in total for development and delivery of content.

                                            -

                                            Application

                                            -

                                            To apply, please submit your CV and a short motivational letter to learn@vectorinstitute.ai

                                            -

                                            Applications will be reviewed on a rolling basis until filled

                                            -

                                            Background

                                            -

                                            This workshop is being created to respond to Supply Chain Canada’s (SCC) interest in learning more about a custom workshop offering on artificial intelligence (AI) from the Vector Institute (Vector). With the seemingly endless applications of AI to the sector, SCC’s constituents wish to learn how to leverage AI to unlock untapped opportunities that add value across the supply chain.

                                            -

                                            The use of machine learning and AI in supply chain are made possible by the explosion in data from smart transportation, warehouse sensors, barcode systems, and automation across entire value chains. These techniques are used to optimize production, prediction, procurement, personalization, and promotion.

                                            -

                                            This workshop is designed for non-technical Supply Chain professionals who are well versed in maximizing, minimizing and optimizing various key metrics and are looking to do so with the latest technology and methods. The intended audience include mid-level managers across different supply chain functions, such as procurement, buying, sourcing, warehousing, and distribution.

                                            -

                                            The workshop introduces technical concepts (e.g., Regression Analysis, Model Optimization) in language that is accessible, using functional examples relevant to the workplace. It is delivered in a lecture/discussion format, and machine learning examples are demonstrated in Python, a popular programming language for AI. Learners are taught to interpret model results and key scoring criteria. The Python scripts are available after the session for those interested in a more hands-on experience.
                                            -
                                            -

                                            -

                                            The instructor, in communication with Vector Professional Development staff, will develop and deliver content in line with the following:
                                            -
                                            -

                                            -

                                            CONTENT: DAY ONE

                                            -

                                            -

                                            Introduction: Why does AI matter to supply chain professionals? 10 minutes

                                            -

                                            AI foundations and key concepts 1 hour

                                            +

                                            Why Deloitte?

                                            +

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            • -· This section covers key terminology and key concepts in AI that supply chain professionals should know. -
                                            • -
                                            • -· Introduces technical concepts (e.g., Regression Analysis, Model Optimization) in language that is accessible, using functional examples relevant to the workplace. -
                                            • -
                                            • -· Foundations of AI
                                              • -o Key Terminology -
                                              -
                                            • -
                                            • -o What is AI? -
                                            • -
                                            • -· Foundations of Machine Learning
                                              • -o The Evolution of AI -
                                              -
                                            • -
                                            • -o Machine Learning -
                                            • -
                                            • -o Types of Learning -
                                            • -
                                            • -· Neural Networks -
                                            • -
                                            • -· AI for Business -
                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • -· Deriving Value from AI -
                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • -· Ethics and Bias -
                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            -

                                            Hands-on exercise 30 minutes Application of concepts

                                            -

                                            Break 30 Break

                                            -

                                            AI technologies & supply chain (Section 1) 1 hour

                                            -
                                            • Machine learning examples are demonstrated in a popular programming language for AI, Python.
                                            -
                                            • Learners are taught to interpret model results and key scoring criteria, and the Python scripts are available after the session for those interested in a more hands-on experience.
                                            -

                                            CONTENT: DAY TWO

                                            -

                                            AI technologies & supply chain (Section 2) 1 hour Continuation of Part 1

                                            +


                                            The next step is yours

                                            +

                                            Sound like The One Firm. For You?

                                            +

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-09-19T12:40:17.189Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/38323547-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,,expired,2020-08-19T13:27:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +24c39977-0955-43a2-aa54-72615f785aac,38416652,Borealis AI,Associate Product Manager ☑️,on_site,"Toronto, ON, Canada",2020-08-21T13:10:58.095Z,"

                                            What's the opportunity?

                                            +

                                            As a member of the Product Management team, you’ll get a chance to build innovative AI products for the financial industry and beyond through a deep understanding of our AI capabilities applied to real-world scenarios. You’ll be responsible for turning research into full-fledged products and will work closely with the business development, engineering, and research teams to deeply understand the problem space and define compelling products.

                                            +

                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                            +

                                            Your responsibilities include:

                                              -
                                            • Discussion of hands-on exercise
                                            • -
                                            • Learners receive a take-home assignment to consider how learnings may be applied in their various work streams (e.g., process improvements)
                                            • +
                                            • Drive product-strategy and roadmaps with the Lead Product Manager
                                            • +
                                            • Own and prioritize project plan, driving multi-functional teams in realizing customer value based on ML research
                                            • +
                                            • Translate business and user requirements into engineering and research product requirements
                                            • +
                                            • Collaborate with engineers and researchers to define detailed functional specs to align the team on what we are delivering, and what success looks like
                                            • +
                                            • High touch managing epics and user stories within JIRA keeping deep prioritized backlogs maximizing teams effectiveness
                                            • +
                                            • Manage, develop, and lead hi-performing project teams, collaborating across research, engineering and business development to deliver world-class AI products
                                            -

                                            Hands-on exercise 30 minutes Application of concepts

                                            -

                                            Break 30

                                            -

                                            Case Studies in AI for supply chain (1 hour)

                                            +

                                            You're our ideal candidate if you:

                                              -
                                            • Introduction to the case studies and discussion.
                                            • -
                                            • By the end of this workshop, supply chain professionals will be able to identify AI use cases and applications, as well as recognize when to use AI and when to consider other technical solutions.
                                            • +
                                            • Have a technical degree (CS/Engineering);
                                            • +
                                            • Have 2+ years of experience building products;
                                            • +
                                            • Are continually curious and empathetic about customers and are driven to build great products for them;
                                            • +
                                            • Are excited about digging into technical details;
                                            • +
                                            • Are analytical in your problem-solving approach;
                                            • +
                                            • Have a track record of thorough delivery;
                                            • +
                                            • Can wade through ambiguity to define clear objectives for a product;
                                            • +
                                            • Are great at collaborating across a spectrum of stakeholders, from business partners to researchers to engineers;
                                            • +
                                            • Have enthusiasm for learning about machine learning and AI (Bonus points if you have worked in this area).
                                            -

                                            Proposed case studies:

                                            +

                                            What's in it for you?

                                              -
                                            • Chatbots/Natural Language Processing (NLP)
                                            • -
                                            • Predictive Analytics/Demand Forecasting
                                            • -
                                            • Optimization Modeling
                                            • +
                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities;
                                            • +
                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                            -


                                            -

                                            END OF COURSE

                                            +

                                            About Borealis AI
                                            +

                                            +

                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                            +

                                            Inclusion and Equal Opportunity Employment

                                            +

                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-09-20T18:04:35.772Z,False,2,0,47,https://talenthub.vectorinstitute.ai/jobs/38416652-associate-product-manager-at-borealis-ai,,expired,2020-08-21T13:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,New Posting, +246689fd-7113-49da-a2ee-b1cc1354564f,38417910,Ontario Institute for Cancer Research,"Postdoctoral Fellow, Computational Chemistry & Chemoinformatics",on_site,"Toronto, ON, Canada",2020-08-21T19:56:11.671Z,"

                                            The Drug Discovery Program at the Ontario Institute for Cancer Research (OICR) is seeking a post-doctoral scientist with expertise in Computational Chemistry and Chemoinformatics.

                                            +

                                            The OICR Drug Discovery Program is one of the largest programs of its kind in Canada. Our mission is to help efficiently translate discoveries made in Ontario’s labs into novel oncology therapies. Based in Toronto, you will be a part of a dedicated team of scientists to identify and optimize new anti-cancer drug candidates using a wide variety of computational approaches. As a member of the Drug Discovery Program, you will have a chance to use the state-of-the-art OICR hardware facilities (that includes a 14,000-core SGE HPC Cluster with 16 PB data storage), Drug Discovery servers and all major commercial software tools required for Computational Drug Discovery, which is currently used by pharmaceutical companies. You will closely collaborate with a team of scientists with a broad Pharma and Biotech experience in the fields of Computational Chemistry, Chemoinformatics, Medicinal Chemistry, Biochemistry, Cell and in vivo Biology and DMPK and contribute to several anti-cancer drug discovery projects. As a part of collaborative projects, you will also interact with leading academic scientists and physicians in Toronto’s Discovery District, including a recently funded grant from COVID-19 Ontario Rapid Research Fund to identify new therapeutics and existing drugs that could be repurposed for the treatment of COVID-19 (bit.ly/2PtqEBr).

                                            +

                                            To find out more about what’s happening in Drug Discovery, visit OICR News.

                                            +

                                            RESPONSIBILITIES:

                                              -
                                            • Assignment review session
                                            • -
                                            • Course debrief meeting
                                            • -
                                            • Team wrap meeting
                                            • +
                                            • Collaborate effectively with Medicinal Chemists in the group and contribute to drug discovery projects via a wide variety of Molecular Modeling, Chemoinformatics, Ligand- and Structure-Based Analog Design and Data Mining tools;
                                            • +
                                            • Develop new tools to streamline Computational Drug Discovery (BIOVIA Pipeline Pilot, Schrodinger Drug Discovery suite, MolSoft ICM Pro) and other tools, and apply them to drug discovery projects, including some open science projects like COVID-19;
                                            • +
                                            • Participate in new target validation by performing structure-based target assessment, virtual screening to identify new hits, hit expansion, assisting chemists in Hit-to-Lead and Lead Optimization;
                                            • +
                                            • Assist biologists in streamlining uploading of newly generated biological data and upload data generated by external vendors;
                                            • +
                                            • Help develop quality, predictive, self-evolving machine learning models for our Tier 1 ADMET set of assays and potency models for our structure-based drug design projects;
                                            • +
                                            • Present results to internal and external audiences, including at international meetings, and contribute to manuscripts for peer-reviewed international journals;
                                            • +
                                            • Adhere to all OICR safety guidelines and policies, strongly advocate safety to others.
                                            -


                                            -

                                            Pedagogical objective
                                            -

                                            +

                                            QUALIFICATIONS

                                              -
                                            • To introduce supply chain professionals to key AI concepts and connect them to different supply chain use cases, in order to develop a baseline understanding of how the technologies and methods could add value to their organizations.
                                            • -
                                            • These professionals may be considering AI-based solutions to improve productivity and efficiency, or they might be part of efforts to evaluate external vendors or make recommendations to leadership on new technology solutions to business problems.
                                            • +
                                            • PhD awarded within three to four years in Computational Chemistry, Chemoinformatics or a related field with solid theoretical and practical knowledge of Chemoinformatics, ligand- and structure-based Virtual Screening, Machine Learning and Data Science;
                                            • +
                                            • Experience in homology modeling, docking and scoring;
                                            • +
                                            • Proficiency in at least one molecular modeling package, i.e. Schrodinger Drug Discovery suite, MolSoft ICM Pro;
                                            • +
                                            • Experience in at least one scripting and programming language, such as those included in BIOVIA Pipeline Pilot and/or KNIME;
                                            • +
                                            • Knowledge of relational databases, understanding organic and/or medicinal chemistry is a plus;
                                            • +
                                            • Highly motivated and self-dedicated scientist, good team player and excellent interpersonal skills;
                                            • +
                                            • Written and spoken fluency in English and excellent communication skills;
                                            • +
                                            • Enthusiasm to work in an interactive, team environment.
                                            -

                                            Pedagogical approach (Lecture, remote etc...)

                                            -

                                            This workshop is delivered in an interactive lecture/discussion format, with practical examples and case studies used to spark reflection and questions. The sessions will be delivered online.

                                            -

                                            Level of training (introduction, basic competency, specialized competency)

                                            -

                                            Introduction

                                            -

                                            Participant prerequisites

                                            -
                                              -
                                            • No prior knowledge of AI required
                                            • -
                                            • No computer programming experience required
                                            • -
                                            ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-10-17T20:15:03.174Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/84062112-instructor-data-driven-supply-chain-ai-possibilities-at-vector-institute-internal-opportunities-only,,expired,2021-06-01T19:29:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, -20c59eca-5fdd-434c-9cd0-fea1330e613b,84351085,BMO Financial Group,Development Lead (Java),on_site,"Toronto, ON M8X 1C4, Canada",2021-09-20T08:49:15.961Z,"
                                            -

                                            Address:

                                            100 King Street West

                                            -

                                            -

                                            Job Family Group:

                                            Technology

                                            -

                                            -

                                            -

                                            -

                                            Understands that the success of a developer is to understand the core business processes of the business unit and business requirements as well as the architecture patterns and technology strategy (e.g., Transformation, SmartCore, DevOps). Conceive and write detailed software implementations/code while ensuring that their code/configurations adhere to the security, logging, error handling, and performance standards and non-functional requirements. Writes, configures, and integrates code to create the software that aligns with architecture patterns and technology strategy. Understands the implications of various components (including technology strategy & architecture) to the overall design of a program, system, or eco-system. Evaluates new technologies for fit with the program/system/eco-system and the associated upstream and downstream impacts on process, data, risk (e.g., security). Works toward the objective of defect free software. Ensures that systems functionally meet requirements, align with architecture and promote the development of common assets. Supports the resolution of production issues and problems. Makes recommendations to improve BMO processes & systems.

                                            +

                                            The position is for two years, with a possibility of extension to three years. OICR provides competitive fellowships dependent on experience. Please submit your CV/resume, list of publications and a statement of interest.

                                            +

                                            OICR is an innovative cancer research institute located in the MaRS Centre in the Discovery District in downtown Toronto. OICR is addressing significant challenges in cancer research with multi-disciplinary, multi-institutional teams. New discoveries to prevent, detect and treat cancer will be moved from the bench to practical applications in patients. The OICR team is growing quickly. We are innovative, dedicated professionals who bring expertise to each of our roles. We are looking for individuals interested in being part of a culture of excellence that will result in Ontario being recognized internationally as a leading jurisdiction for cancer research.

                                            +

                                            Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Colleges and Universities.

                                            +

                                            For more information about OICR, please visit the website at www.oicr.on.ca.

                                            +

                                            CLOSING DATE: Until Filled

                                            +

                                            OICR is an inclusive employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the Recruiter to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation will be addressed confidentially.

                                            +

                                            The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted.

                                            ",gennady.poda@oicr.on.ca,,aimasters@vectorinstitute.ai,,,,2020-09-20T19:59:24.375Z,False,1,0,52,https://talenthub.vectorinstitute.ai/jobs/38417910-postdoctoral-fellow-computational-chemistry-chemoinformatics-at-ontario-institute-for-cancer-research,,expired,2020-08-21T19:56:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Fellowship,PhD,New Posting, +a98f369a-98bf-466b-bc5e-5734ff2bbfb0,38555032,Borealis AI,Data Engineering Lead ☑️,on_site,"Toronto, ON, Canada",2020-08-25T15:45:59.384Z,"

                                            What's the opportunity?

                                            +

                                            We’re looking for an enthusiastic engineering lead who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems.

                                            +

                                            As a Data Engineering Lead, you’ll be responsible for owning and delivering data engineering solutions to Borealis AI project teams and its customers. You’ll be directly managing a team of data engineers, responsible for strategic planning, execution and delivery of data engineering solutions. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                            +

                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at www.borealisai.com .

                                            +

                                            Your responsibilities include:

                                              -
                                            • Assesses impact of design decisions to the computer solution/product/service being developed (i.e. performance, schedule, budget, downstream component/system impact, quality, etc.) and recommends alternate/creative solutions for mitigation/optimization if required.
                                            • -
                                            • Recommends and implements solutions based on analysis of issues and implications for the business.
                                            • -
                                            • Identifies emerging issues and trends to inform decision-making.
                                            • -
                                            • Leads and implements initiatives as required to deliver business objectives.
                                            • -
                                            • Conducts independent analysis and assessment to resolve strategic issues.
                                            • -
                                            • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                            • -
                                            • Monitors and tracks performance, and addresses any issues.
                                            • -
                                            • Leads/conducts detailed code-reviews and provides feedback in a constructive manner.
                                            • -
                                            • Decomposes business requirements and translates them into detailed design specifications and code.
                                            • -
                                            • Interacts with key business & technology stakeholders to define, analyze, and deliver requirements that reflect the needs of both the business and end-customers.
                                            • -
                                            • Assesses the costs and benefits for different solutions and recommend/decide on appropriate designs.
                                            • -
                                            • Designs solutions, writes code, performs unit testing, develops appropriate artefacts / documentation, and facilitates final delivery.
                                            • -
                                            • Supports production issues, includes independently completing root-cause analysis and diagnosis.
                                            • -
                                            • Devises new algorithms and data structures for target environment and platform attributes in alignment with architectural patterns.
                                            • -
                                            • Builds solutions that are supportable, scalable and achieve our aspiration of common assets.
                                            • -
                                            • Recommends or automates approaches to streamline and integrate technological processes and/or systems to improve operational efficiency and effectiveness.
                                            • -
                                            • Supports the management of specific project deliverables & outcomes.
                                            • -
                                            • Identifies opportunities to strengthen the development capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                            • -
                                            • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                            • -
                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                            • -
                                            • Provides specialized consulting, analytical and technical support.
                                            • -
                                            • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                            • -
                                            • Works independently and regularly handles non-routine situations.
                                            • -
                                            • Broader work or accountabilities may be assigned as needed.

                                              Qualifications:

                                              -
                                            • -
                                            • 5 - 7 years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                            • -
                                            • Clear understanding of API Development concepts, SOA architecture, and their application in solution building.
                                            • -
                                            • Comprehensive understanding and skills for implementing API Service with: Web Services using REST/JSON/Swagger and SOAP/WSDLBonus:Security implementation using API Key, OAuth2, JWT/JWS/JWE, OpenID Connect, Lambda authorizers, LDAP, etc.AWS cloud development technologies like Lambda using node.js, java; API Gateway; Cloud Pipeline; Security etc.IBM API Connect.
                                            • -
                                            • Experience with DevOp tools, like BitBucket (git), Bamboo, Artifactory, Ansible. Programming languages (JavaScript with Node.js, SQL, Shell scripts etc.), Databases (MySQL, No SQL Databases like MongoDB)(bonus) Experience with multiple middleware technologies (Application Servers, BPMS, ESB & Message Brokers etc.)
                                            • -
                                            • Effective communication and documentation skills ensuring that customers and teams have a clear understanding of solutions recommended and intended outcomes.
                                            • -
                                            • Advanced level of knowledge in domain.
                                            • -
                                            • Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience.
                                            • -
                                            • Knowledge of required programming languages and can code with little oversight.
                                            • -
                                            • Knowledge of technical/business environment and processes.
                                            • -
                                            • Understand functional aspects and technical behavior of the underlying operating system, development environment, and deployment practices.
                                            • -
                                            • Have facility with and understanding of the ecosystem that code operates in.
                                            • -
                                            • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                            • -
                                            • Verbal & written communication skills - In-depth.
                                            • -
                                            • Collaboration & team skills - In-depth.
                                            • -
                                            • Analytical and problem solving skills - In-depth.
                                            • -
                                            • Influence skills - In-depth.
                                            • -
                                            • Data driven decision making - In-depth.
                                            • +
                                            • Lead the design, implementation and deployment of data engineering solutions for ML systems;
                                            • +
                                            • Directly manage a team of data engineers, being responsible for planning execution and delivery of features and data pipelines;
                                            • +
                                            • Lead efforts in extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark etc.).
                                            -

                                            -

                                            -

                                            We’re here to help

                                            -

                                            -

                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                            -

                                            -

                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                            -

                                            -

                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                            -

                                            -

                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                            -
                                            ",,https://jobs.bmo.com/ca/en/job/R210013003/Development-Lead-Java,info@bmocareers.com,https://bmocareers.com/,,,2021-10-18T10:55:30.205Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/84351085-development-lead-java-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210013003/Development-Lead-Java,expired,2021-09-20T08:49:00.000Z,import-xml-feed:BMO-Job-Feed,,,,,,, -86dbcc6f-9d99-4083-acfa-118c4d967b4f,84364473,Canadian Institute for Health Information,"Senior Analyst, Pharmaceuticals",on_site,"Toronto, ON, Canada",2021-09-20T18:36:07.343Z,"

                                            Senior Analyst, Pharmaceuticals

                                            -

                                            Job number:J0921-0639Job title:Senior Analyst, PharmaceuticalsJob type:ContractLocation:Ottawa, Toronto, Ontario, CanadaNumber of positions:1Contract Duration :Until November 2022Date posted:September 10, 2021Closing date:September 24, 2021Range minimum:$77,000.00/year

                                            -

                                            Who we are

                                            -

                                            -

                                            We are an organization comprised of industry thought leaders who are passionate about health data and want to make a difference in the health care field. We are an independent, not-for-profit organization and together with our partners we provide essential information on Canada's health systems, enabling decisions that lead to healthier Canadians. As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution of Canada's health care systems.

                                            -

                                            CIHI is recognized as an exceptional place to work that embraces diversity, respect, integrity, collaboration and innovation.

                                            -

                                            At CIHI, we recognize what matters to our employees. Some of the benefits of working at CIHI include

                                            +

                                            You’re our ideal candidate if you:

                                              -
                                            • HOOPP Pension Plan (Defined Pension)
                                            • -
                                            • Retirement Planning Program
                                            • -
                                            • Generous vacation days for permanent and long-term contracts
                                            • -
                                            • Work-life balance
                                            • -
                                            • Career Planning Program
                                            • -
                                            • Learning and Professional Development Program
                                            • -
                                            • Flexible benefits program from your first day on the job for permanent and long-term contracts
                                            • +
                                            • Have a bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field, with detailed knowledge of machine learning algorithms, is an asset;
                                            • +
                                            • Have 5+ years’ industry experience;
                                            • +
                                            • Have experience of managing a team of engineers;
                                            • +
                                            • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                            • +
                                            • Have experience with writing modular, robust, scalable software in one of the modern languages such as C++, C#, Java, Python;
                                            • +
                                            • Have knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
                                            • +
                                            • Experience with scaling and performance of large systems;
                                            • +
                                            • Experience in working with business, product and other technical teams;
                                            • +
                                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team.
                                            -

                                            -

                                            Why is this role important?

                                            -

                                            The Senior Analyst, Pharmaceuticals, will be responsible for working collaboratively with the Pharmaceuticals program area to support analysis and reporting on data from the National Prescription Drug Utilization Information System (NPDUIS) Database. The Senior Analyst is responsible for leading data analysis and supporting the design, development, writing and production of pharmaceuticals reports. Additional analytical duties include data requests and data quality evaluation.

                                            -

                                            What you'll do

                                            -

                                            1. Leads data analysis for recurring CIHI reports, data requests and special studies.

                                            2. Assists with the development and application of analytic techniques for analysis of drug claims data.

                                            3. Develops and/or maintains up-to-date and comprehensive documentation relating to the NPDUIS, analytical methodologies and protocols.

                                            4. Conducts analyses, in consultation with the CIHI Data Quality and program area teams, for evaluation of data quality and makes recommendations to the program area for improvement strategies.

                                            5. Liaises with clients to define requirements and specifications for data requests, in accordance with confidentiality and data access policies.

                                            6. Actively participates in meetings with external working groups and prepares documentation, as required.

                                            7. Develops and maintains knowledge of the Pharmaceuticals data holdings and Canadian pharmaceutical policy.

                                            8. Assumes responsibility for other related duties as assigned by the Program Lead and/or Manager, Pharmaceuticals.

                                            -

                                            What you'll bring to the table

                                            -

                                            • Proven experience analysing health-care data using analytical software including the manipulation and analysis of statistical data from administrative health databases in the preparation of statistical and descriptive reports.
                                            • Strong knowledge and proficiency in statistical analysis software packages; SAS is preferred; Python and R are considered assets.
                                            • Experience in drug utilization and expenditure data is considered an asset.
                                            • Strong interpersonal skills and communication skills (both written and oral).
                                            • Strong conceptual and problem solving skills with strong attention to detail and organizational skills.
                                            • Proven ability to lead projects, work as part of a team and work with minimal supervision.
                                            • Fluency in English required, bilingualism an asset.

                                            -

                                            Basic Qualifications

                                            -

                                            • Undergraduate degree in health information/administration, economics, statistics, or similar field. Masters degree is considered an asset.
                                            • Three to five years’ experience in a relevant position.

                                            -

                                            -

                                            To find out more about this role and other exciting opportunities visit our website at www.cihi.ca and check out our 'Careers' section.

                                            -

                                            We thank all those who apply, however, only candidates selected for an interview will be contacted.

                                            -

                                            -

                                            -

                                            At CIHI we are committed to fostering an inclusive, barrier-free and accessible environment. Part of this commitment includes arranging accommodations to ensure an equitable opportunity to participate in the recruitment and selection process. If you require an accommodation, we will work with you to meet your needs.

                                            ",,https://clients.njoyn.com/cl3/xweb/XWeb.asp?NTKN=c&clid=53103&Page=JobDetails&Jobid=J0921-0639&BRID=108525&lang=1,aimasters@vectorinstitute.ai,http://www.cihi.ca/careers,,,2021-10-07T22:25:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/84364473-senior-analyst-pharmaceuticals-at-canadian-institute-for-health-information,,expired,2021-09-20T18:36:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -2566378a-3452-4188-82a5-b93bf5b40498,84365721,TELUS,"Director, Data Engineering Platforms",on_site,"Toronto, ON, Canada",2021-09-20T19:00:54.893Z,"

                                            We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                            Join our team

                                            We are searching for a talented candidate to become our team’s Director - Data Engineering Platforms. The Director will be responsible for the Development and Operations of enterprise foundational platforms providing curated data and insights leveraged across TELUS. The Director will be an agent of change in a very dynamic and fast changing environment and will be the custodian of its evolving strategy, roadmap, execution and maintaining cutting edge cloud skillset. Reporting to the VP – Data Strategy & Enablement, the successful candidate will lead a group of talented data and software engineers and data technology architects working alongside various business units across TELUS to enable the acceleration of insights to actions to savings/revenue generation through efficient creation, distribution & exchange of high quality datasets across TELUS.

                                            This is Your Opportunity

                                            At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the Director - Data Engineering Platforms will have the opportunity to:

                                            -

                                            +

                                            What’s in it for you?

                                              -
                                            • Lead a team of talented data and software engineers to drive the strategy, plans and execution of our enterprise data and analytics foundational common platforms
                                            • -
                                            • Maintain and evolve capabilities and technology roadmaps aligned with the always evolving business stakeholder needs
                                            • -
                                            • Advance our systems reliability by applying SRE principles optimizing for expected uptime, development of new features and cost
                                            • -
                                            • Implement and evolve DevOps principles and tooling to ensure continuous delivery and automation of data pipelines for delivering curated data
                                            • -
                                            • Drive the transformation and strategic cloud centric direction to adapt the best of new technology to our data foundations to increase our ability to drive better outcomes
                                            • -
                                            • Drive the continuous systems transformation as we migrate infrastructure and applications to the cloud
                                            • -
                                            • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner to our stakeholders and in accordance with our privacy and security by design policies
                                            • -
                                            • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                            • -
                                            • Mentor, lead, and support a diverse and very talented team
                                            • +
                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities;
                                            • +
                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                            -

                                            You're the missing piece of the puzzle

                                            +

                                            How to apply:

                                            +

                                            Please email your CV and cover letter to mi.research@borealisai.com and include where you heard about this opportunity.

                                            +

                                            About Borealis AI

                                            +

                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                            +

                                            Inclusion and Equal Opportunity Employment

                                            +

                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-09-24T16:25:37.425Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/38555032-data-engineering-lead-at-borealis-ai,,expired,2020-08-25T15:45:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Team Lead,Bachelors Degree,Re-Posting an Expired Job, +d38c5b48-46b9-4ec9-8c81-a700f5f444d8,38555136,Intact Financial Corporation,"Senior Data Scientist (Toronto), Intact Lab",on_site,"Toronto, ON, Canada",2020-08-25T16:40:02.192Z," + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                            +

                                            #IntactCareers

                                            +

                                            How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                            +

                                            With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                            +

                                            Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.

                                            +
                                            +
                                            Your Job
                                            +

                                            Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                            +

                                            Workplace: Toronto (700 University av.)

                                            +

                                            Here are a few ways you will make a difference:

                                              -
                                            • You are go-getter and trailblazer who can work leverage teamwork and connections to drive value creation
                                            • -
                                            • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                            • -
                                            • You are resilient and adept at challenging the status quo by constantly observing, being curious and asking questions
                                            • -
                                            • You can communicate clearly and effectively in both technical and business matters
                                            • -
                                            • You never stop learning and are always hungry for more knowledge
                                            • -
                                            • You are analytical and outcome-oriented with a proven ability to translate technical considerations into business implications (and vice versa!) as well as to synthesize data into actionable insights
                                            • -
                                            • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                            • -
                                            • You have experience with agile ways of working and a bias for action to break down barriers to get results fast with a test and learn mindset
                                            • -
                                            • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                            • +
                                            • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                            • +
                                            • Transform complex databases into relevant conclusions and recommendations
                                            • +
                                            • Keep pace with new approaches and trends and use them in your own solutions
                                            • +
                                            • Help maintain our data mining tools and platforms
                                            • +
                                            • Make actionable recommendations based on the findings
                                            • +
                                            • Work with other departments to promote the adoption of analytical principles within the organization
                                            • +
                                            • Validate the quality of the analytical approach and project outputs of the other team members
                                            • +
                                            • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions
                                            -

                                            Great-to-haves

                                            +
                                            +
                                            Your Skills
                                            +

                                            We can offer you:

                                              -
                                            • Bachelor of Computer Science, Electrical Engineering or related technical fields
                                            • -
                                            • MBA or equivalent
                                            • -
                                            • Experience in Google Cloud Platform (GCP)
                                            • -
                                            • 8+ of progressive and relevant work experience
                                            • +
                                            • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                            • +
                                            • Opportunities to have global impact with your work
                                            • +
                                            • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                            • +
                                            • A team of great colleagues to learn with and from
                                            • +
                                            • Continuous learning
                                            • +
                                            • Flexible and friendly working environment
                                            -

                                            What We Give Back to You

                                            +

                                            Here’s what you offer us:

                                              -
                                            • Flexible work styles with the ability to work in and out of the office
                                            • -
                                            • Opportunities to excel and show your stuff – work on high value and high visibility projects
                                            • -
                                            • Work in an organization that actively supports you giving back to the community you live in
                                            • -
                                            • Competitive pay and benefits
                                            • -
                                            • A workplace that lets you be your best every day and embraces our core values: Spirited team work, Courage to innovate, Embrace change and Initiate opportunity and a Passion for growth
                                            • -
                                            -

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability — your unique contributions and talents will be valued and respected here. DESJobs

                                            -

                                            Accessibility -

                                            -

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            -

                                            -

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/director-data-engineering-platforms-26207,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-10-20T19:00:56.497Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/84365721-director-data-engineering-platforms-at-telus,,expired,2021-09-20T19:00:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Director,Masters Degree,New Posting, -754afe14-9b71-4812-b060-a7d0bdb03f7b,84405626,Deloitte,"Manager, AI Strategy - AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2021-09-21T02:36:11.500Z,"
                                            -

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto

                                            -

                                            Partner with clients to solve their most complex business problems
                                            Be encouraged to deepen your technical skills…whatever those may be
                                            Lead projects and teams to make an impact that matters

                                            -
                                            -
                                            -
                                            -

                                            -

                                            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                            -
                                            -
                                            -

                                            What will your typical day look like?

                                            -
                                            -

                                            As a Manager, AI Strategy - AI & Analytics Academy, you will work directly with the AI & Analytics Academy Lead to design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of both executives and technical/ quantitative professionals from client organizations.

                                            -

                                            In this role, you will:

                                            -
                                            • Manage a collaborative team analyzing client issues and developing solutions
                                            • Analyze and diagnose client business issues to develop, recommend, and communicate creative approaches and solutions
                                            • Develop proposals and participate in sales/business development efforts within the practice
                                            • Contribute to knowledge sharing and practice development efforts
                                            • -
                                            -

                                            Design tailored AI and Advanced Analytics learning programs

                                            -
                                            • Develop and/or refine frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                            • Customize existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                            • Prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                            • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                            • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                            • Design pre and post program surveys to assess impact of learning programs
                                            • -
                                            -

                                            Deliver tailored AI and Advanced Analytics learning materials

                                            -
                                            • Coordinate all capabilities required to deliver on the program. As the program coordinator, you will be responsible for ensuring a seamless delivery of the learning program by leveraging the following enablers:
                                              • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                              • People: Train and organize Client and Deloitte facilitators and co-facilitators to build a high-performing Faculty team
                                            • -
                                            -
                                            -
                                            -
                                            -

                                            About the team

                                            -
                                            -

                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            -

                                            Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                            -
                                            -
                                            -
                                            -

                                            Enough about us, let’s talk about you

                                            -
                                            -

                                            You are someone with:

                                            -
                                            • Minimum of seven years’ work experience developing cutting-edge learning programs ideally in the data, analytics or AI domains
                                            • Completed Undergraduate Bachelor’s Degree in Human Resource Management, Industrial/Organizational Psychology, Instructional Design or related field preferred
                                            • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                            • Professional services, consulting, or advisory experience is an asset
                                            • Exceptional senior stakeholder management skills
                                            • Superior written and verbal communication skills and strong attention to detail
                                            • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                            • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                            • Commitment to quality, ethics and confidentiality
                                            • Bilingualism is an asset
                                            • Some travel may be required
                                            • +
                                            • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                            • +
                                            • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                            • +
                                            • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                              • Open-source frameworks: R, Python, GitHub
                                              +
                                            • +
                                            • Expert-level understanding of the underlying theory of machine learning
                                            • +
                                            • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                            • +
                                            • Your great teamworking skills
                                            • +
                                            • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                            • +
                                            • Your strong communication, time management and work organization skills
                                            -


                                            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                            -
                                            -
                                            -
                                            -

                                            Why Deloitte?

                                            -

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            -
                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            • +

                                              Here are a few reasons why others have joined our team:

                                              +
                                                +
                                              • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                              • +
                                              • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                              • +
                                              • Flexibility in how and where you work
                                              • +
                                              • A comprehensive financial rewards program that recognizes your success
                                              • +
                                              • An extensive, flexible benefits package
                                              • +
                                              • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                              • +
                                              • A casual ‘dress for your day’ culture that encourages you to be yourself
                                              • +
                                              • A $350 annual wellness account that promotes an active lifestyle
                                              -


                                              The next step is yours

                                              -

                                              Sound like The One Firm. For You?

                                              -

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              -

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              -

                                              -

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/791516200/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-10-22T19:52:03.779Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/84405626-manager-ai-strategy-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/791516200/,expired,2021-09-21T02:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -27c5dfbd-504f-4b3f-905b-6d5700ee4411,85698573,CIBC,"Machine Learning Engineer, Data Enablement, Advanced Analytics & AI",on_site,"Ontario, Canada",2021-09-30T09:49:04.308Z,"
                                            +
                                            +
                                            Closing Statement
                                            +

                                            We are an Equal Opportunity Employer

                                            +

                                            At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                            +

                                            Background Checks

                                            +

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            +

                                            Internal Candidates

                                            +

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            +

                                            About us:

                                            +

                                            As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                            +

                                            Our people are at the heart of what we promise – getting people back on track and helping them prosper in good times and be resilient in bad times. We have over 13,000 employees who live our values every day and strive to deliver legendary service to our millions of customers across Canada and the U.S. We have many brands that are a part of the Intact family. In Canada, Intact Insurance and Brokerlink distribute insurance through a wide network of brokers, while belairdirect delivers products direct-to-consumer.
                                            In the U.S., OneBeacon Insurance Group handles our specialty insurance line of business.

                                            +

                                            #li-qc

                                            +
                                            +
                                            Referral Bonus
                                            +

                                            This role is eligible for employee referral bonus. #myReferrals3000

                                            +
                                            +
                                            Eligibility to work in Canada
                                            +

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                            +
                                            +
                                            Glassdoor Sponsored
                                            +

                                            #GD-Quebec

                                            +
                                            +

                                            ",,https://careers.intact.ca/ca/en/job/IFCOUS11883/Senior-Data-Scientist-Toronto-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-08-31T14:59:00.000Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/38555136-senior-data-scientist-toronto-intact-lab-at-intact-financial-corporation,,expired,2020-08-25T16:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, +f5ade441-402d-473c-b6ad-c663eef57714,38555139,Manulife,Data Engineer - Data Operations Team,on_site,"Waterloo, ON, Canada",2020-08-25T16:42:00.270Z,"

                                            Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                            +

                                            +

                                            Job Description

                                            +

                                            +

                                            The Data Operations team is a unique, multi-faceted team that delivers shared services as well as project work. As such we work closely with all the teams within Canada Data Office to ensure best practices, product delivery, innovation & optimization of code and infrastructure. We partner closely with the Data Architecture team to enable strategic / foundational as well as business-driven objectives. The Data Engineer will play a key role in all aspects of shared service such as building and maintaining DevOps / DataOps pipelines, as well as product delivery that requires building out data pipelines for consumption & visualization.

                                            +

                                            +

                                            Responsibilities for this role include:

                                            +

                                            +

                                            • Builds, codes, tests, maintain high quality software with a focus on implementing best practice and industry standards
                                            • Participates in Agile sprints and ceremonies; partakes in good documentation and follow disciplined approaches for timely delivery & communication of project progress

                                            +

                                            • Initialize and manage cloud platforms especially Azure
                                            • Works closely with data architects to implement / optimize frameworks for improved efficiencies and modernizing applications within CDO

                                            +

                                            • Develops & maintains DevOps & data pipelines, application framework, infrastructure for data generation. Investigate and analyze root cause/issues of the failures. Ex. data, source feeds, etc.

                                            +

                                            • Contribute to release management and access control management

                                            +

                                            • Contribute to the governing of best coding practices; identifying and implementing internal process improvements

                                            +

                                            • Contributes to the success of a team, demonstrates high respect for the team and sets high self-expectations

                                            +

                                            • Provide training, collaborate with team members; coach and be coached, participate in code reviews, share skills and methodologies to upskill CDO

                                            Job Requirements for this role are as follows:

                                            +


                                            • Demonstrated 3-5 years of professional experience in related industry with experience in platform or application support and including a University degree and or master’s degree in Engineering, Computer Science or equivalent quantitative program

                                            +

                                            • Strong working knowledge of agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features
                                            • Experience with implementing data quality/metadata solutions; Analytics and Business Intelligence technologies such as PowerBI, DB Visualizer, etc.

                                            +

                                            • Experience in writing SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments

                                            +

                                            • Understanding of software development lifecycle & respect for the benefits that can be gained through SDLC
                                            • Understanding of how technology supports Manulife business strategy
                                            • Familiar with big data technologies such as Hadoop, CDP, tools & techniques for data ingestion, data modeling & transformation: Sqoop, Nifi, Python, Spark, Snowflake, conceptual & physical data modeling
                                            • Familiar with technologies such as: Informatica

                                            +

                                            • Familiar with scripting languages
                                            • Staying abreast of developments in own technical discipline and able to recognize and translate these to own working env't
                                            • Participates in functional demos utilizing new tech; less controls required
                                            • Constantly learns from both success and failure, lead and follow seamlessly
                                            • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                            • Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes
                                            • Experiments with emerging technologies and understanding how they will impact what comes next.

                                            +

                                            +

                                            This is a full time permanent role that can be worked from our Toronto and Waterloo office.

                                            +

                                            +

                                            +


                                            If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                            +


                                            About Manulife

                                            +

                                            Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                            +



                                            +

                                            Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                            ",,https://jobs.manulife.com/ShowJob/JobId/969781/DataEngineerDataOperationsTeam,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-25T13:07:07.143Z,False,0,2,48,https://talenthub.vectorinstitute.ai/jobs/38555139-data-engineer-data-operations-team-at-manulife,,expired,2020-08-25T16:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +97d02c73-b5a6-462f-9411-23036a8f3929,89451858,Loblaw Companies Ltd.,"CO-OP, Machine Learning Software Developer",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-10-18T17:54:22.637Z,"
                                            -

                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                            +

                                            Referred applicants should not apply directly to this role.

                                            +

                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                            +

                                            Location:

                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                            The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                            +

                                            Why is this role important?

                                            +

                                            Term Length: 4 months

                                            +

                                            Term Start: Jan 10th, 2022

                                            +

                                            Term End: April 22nd 2022

                                            +

                                            _______________________________

                                            +

                                            *COVID Vaccination Status / Return to Office*:

                                            +

                                            COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"".

                                            +

                                            +

                                            In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Store Support employees will be required either to be fully vaccinated or undergo

                                            +

                                            regular COVID-19 Rapid Antigen Screening, paid for by the company, in order to access the workplace.

                                            +

                                            ________________________________

                                            +

                                            Our customers are provided meaningful digital advertising, offers and targeted recommendations to help deliver the best shopping experience to our customers. We generate recommendations based on our sales transactional data from our e-commerce and brick-&-mortar retail stores to effectively reach our customers.

                                            -

                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                            +

                                            What you will do:

                                            -

                                            To learn more about CIBC, please visit CIBC.com

                                            +
                                              +
                                            • Build, manage and deploy machine learning models using Big Data & ML-Op tools
                                            • +
                                            • Design, troubleshoot, and develop products to solve critical business problems
                                            • +
                                            • Work with data scientist, machine learning engineers, applied researchers collaboratively using GCP, Databricks, and agile methodologies.
                                            • +
                                            • Implement complex data pipelines to create a machine learning enabled processes that help drive the business
                                            • +

                                            -

                                            Job Description

                                            +

                                            Ideal Experience and/or Capabilities:

                                            +
                                              +
                                            • Technical Skills:
                                            • +
                                            • Familiarity with statistical methods and linear algebra
                                            • +
                                            • Proficient in at least 1 compiled language, and at least 1 other programming language
                                            • +
                                            • Familiar with the concepts and idioms of functional programming
                                            • +
                                            • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                            • +
                                            • Working experience with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                            • +
                                            • DAG orchestrations using workflow management systems – Airflow, Luigi
                                            • +
                                            • DevOps experience with Docker, Git (GitLab)
                                            • +
                                            • Experience with cloud environments such as Databricks/GCP/Azure
                                            • +
                                            • Soft Skills:
                                            • +
                                            • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                            • +
                                            • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                            • +
                                            • Extremely well organized, proactive.
                                            • +
                                            • Ability to multi-task and prioritize workloads.
                                            • +
                                            • Agile & design thinking methodologies or frameworks
                                            • +
                                            • Comfortable navigating medium-to-large codebases
                                            • +
                                            • Comfortable with fundamental Data structures
                                            • +

                                            -

                                            Job Description

                                            -

                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                            -

                                            To learn more about CIBC, please visit CIBC.com

                                            +

                                            How You’ll Succeed:

                                            +

                                            At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                            +

                                            If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                            -

                                            What You’ll Be Doing

                                            -

                                            Embedded within the Advanced Analytics & AI (EAA) group, we are a blended team of full-stack Data Scientists and ML Engineers. Our mandate is to build and deploy machine learning models as data products and services. As an enterprise group we work with multiple partners and use-case types across our bank, including Marketing, Client Operations, Payments and many other business groups.

                                            +

                                            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                            -

                                            How You’ll Succeed

                                            +

                                            +

                                            Employment Type:

                                            Full time

                                            +

                                            +

                                            Type of Role:

                                            Temporary (Fixed Term)

                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                            +

                                            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                            +
                                            +
                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Machine-Learning-Software-Developer_R2000216661,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-10-21T18:00:19.511Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/89451858-co-op-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Machine-Learning-Software-Developer_R2000216661,expired,2021-10-18T17:54:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, +5edb5e1a-7859-45d4-9f79-0dc526df1d62,89481639,RBC,Data Analyst - Winter 2022 Co-op,on_site,"Home office, Ontario, Canada",2021-10-19T02:39:23.580Z,"
                                            +

                                            What is the opportunity?

                                            +

                                            Are you a student interested in Actuarial Sciences, Technology, or Mathematics? Are you available for a 8 or 12 month work term starting in January? If you answered yes to all these questions, we have an exciting opportunity for you available in RBC Insurance!

                                            +

                                            +

                                            RBC Insurance, through its operating entities, provides a wide range of travel, life, health, home, auto, wealth and insurance products and solutions. Also, it offers creditor and business reinsurance services to both individual and group clients. We are one of the largest insurance companies within a Canadian bank and among the fastest growing insurance organizations in the country. RBC Insurance employs more than 3,200 employees around the globe, and is the brand name for the insurance operating entities of Royal Bank of Canada.

                                            +

                                            +

                                            What will you do?

                                              -
                                            • Data Science Expertise: You will use your expertise in Machine Learning to develop reproducible models, develop model evaluation, training and monitoring pipelines.

                                            • -
                                            • MLOps: You will utilize your strong Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will deploy batch models to production by utilizing tools such as Jenkins. You will create tables in our feature/model serving store as a means to store our batch model outputs via Python. You will assist with the maintenance and monitoring of models and data services in production.

                                            • -
                                            • Champion Best Practices: You will champion the team’s code-style, work-flow patterns and project structure standards You will lead by example by writing great documentation, practicing test-driven-development and properly annotating your code.

                                            • -
                                            • Trusted Partner: You will actively engage with other data scientists, engineers & business clientele to build trust and credibility. You will support your colleagues in areas by sharing ideas and brainstorming approaches to problems.

                                            • +
                                            • Work within a dynamic environment where you are encouraged to aid in process improvement and work with autonomy
                                            • +
                                            • Develop processes and procedures for longevity insruance
                                            • +
                                            • Maintain and develop internal relationships
                                            • +
                                            • Input and analyze key business metrics
                                            • +
                                            • Resolve queries in a professional manner
                                            • +
                                            • Support and mentor team members
                                            -

                                            -

                                            What We’re Looking For

                                            +

                                            +

                                            What do you need to succeed?

                                            +

                                            Must-have

                                              -
                                            • Demonstrated knowledge of data science & machine learning with Python using common data science libraries, such as the PyData stack, and other ML frameworks

                                            • -
                                            • Strong Python programming skills including creating/debugging Python scripts in an non-notebook environment (e.g. PyCharm or VSCode) and writing modular code in a functional programming style.

                                            • -
                                            • Demonstrated knowledge writing SQL scripts to query relational databases and data warehouses

                                            • -
                                            • Familiarity with git, GitHub & conda

                                            • -
                                            • Familiarity with Linux systems & proficient at writing basic bash scripts

                                            • -
                                            • A conceptual understanding or exposure to Docker.

                                            • -
                                            • -

                                              Any of these would be considered an asset :

                                              +
                                            • Experience using Python, R Programming, MS Access (SQL) and VBA
                                            • +
                                            • Experience in the creation of databases, ensuring security, data integrity and restoration controls
                                            • +
                                            • Knowledge of OLTP and OLAP database processing
                                            • +
                                            • Strong teamwork and collaboration skills
                                            • +
                                            • Strong analytical and problem solving skills
                                            • +
                                            +

                                            +

                                            Nice-to-have

                                              -
                                            • Familiarity with the Flask or FastAPI web frameworks

                                            • -
                                            • Any exposure to DevOps tools, such as Jenkins and writing Jenkins pipelines is a big plus

                                            • -
                                            • Familiarity with scripting in SAS and SAS Enterprise Guide

                                            • -
                                            • Familiarity working with git branching and merging

                                            • -
                                            • Familiarity with Microsoft Azure cloud platform

                                            • -
                                            • Familiarity with front-end frameworks, such as Bootstrap & Angular.

                                            • +
                                            • Data analytics knowledge
                                            • +
                                            • Experience with End User Reporting Tools (ex. Tableau)
                                            • +
                                            • Knowledge of game theory and competitor analysis frameworks
                                            - +

                                            +

                                            What’s in it for you?

                                            +

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +
                                              +
                                            • Leaders who support your development through coaching and managing opportunities
                                            • +
                                            • Ability to make a difference and lasting impact
                                            • +
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            +

                                            +

                                            We encourage you to apply as soon as possible as we accept applications on a rolling basis. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                            +

                                            +

                                            While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                            +

                                            About RBC

                                            +

                                            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                            +

                                            +

                                            Get Career Alerts

                                            +

                                            Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                            +

                                            +

                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                            +

                                            +

                                            Inclusion and Equal Opportunity Employment

                                            +

                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            +

                                            +

                                            JOB SUMMARY

                                            +

                                            City: Home office
                                            Address: Home office
                                            Work Hours/Week: 37.50
                                            Work Environment: Insurance Centre
                                            Career Level: Student Job
                                            Position Level: PL10
                                            Application Deadline: 07/08/2020
                                            Req ID: 420865

                                            +

                                            Ad Code(s):

                                            +
                                            ",,https://jobs.rbc.com/ca/en/job/420865/Data-Analyst-Winter-2022-Co-op,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/89481639-data-analyst-winter-2022-co-op-at-rbc,https://jobs.rbc.com/ca/en/job/420865/Data-Analyst-Winter-2022-Co-op,expired,2021-10-19T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +e018a93c-8618-4064-90d4-7254c31f5c11,89481640,RBC,"RBC Capital Markets, 2022 PEY/QUIP Program (16 months), AI Engineer",on_site,"Toronto, Ontario, Canada",2021-10-19T02:39:23.644Z,"
                                            +

                                            The nature of finance is changing, and RBC Capital Markets is looking to recruit the next generation of talented computer scientists and mathematicians to build cutting-edge electronic trading algorithms.

                                            +

                                            +

                                            RBC Capital Markets, 2022 PEY/QUIP Program (16 months), AI Engineer

                                            +

                                            +

                                            At RBC Capital Markets, AI and machine learning are powering the next generation of digital trading and analytics solutions for our clients. Developers and AI Engineers on our Toronto Trade Floor are at the center of this effort, applying cutting-edge methods utilizing the latest hardware to drive meaningful trading insights directly to clients. Working collaboratively within global, cross-functional teams of traders, developers, and relationship managers, your technical skills, creativity, and entrepreneurial mindset will enable you to see things differently and drive initiatives to deliver value and client-driven insights for the world’s largest money managers. Get ready for a PEY experience like no other. The nature of finance is changing, and RBC Capital Markets is looking to recruit the next generation of AI engineers and quantitatively-minded developers to build cutting-edge digital analytics solutions.

                                            +

                                            +

                                            What will you do?

                                              -
                                            • You have an a degree in: computer science, engineering, the natural sciences, math, other related quantitative field, or relevant work experience.

                                            • -
                                            • Minimum 1 year of relevant experience working either in industry, academia or co-op programs.

                                            • -
                                            • You have a strong sense of intellectual curiosity. You are intellectually curious and often think about ways to improve how we work. You may not know every tool or framework, but your innate sense of curiosity drives you to learn and grow your technical and business acumen. Along the same lines, you will have plenty of training opportunities and support from your peers and manager to fill in the gaps in your skill sets.

                                            • -
                                            • You embrace change and champion analytics. You empower and enable your team to make continuous improvement. You enjoy sharing knowledge and ideas with your colleagues & business partners, becoming an engaged member of the analytics community at our bank.

                                            • -
                                            • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                            • -
                                            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                            • +
                                            • Apply unconventional and innovative machine learning techniques to solve cutting-edge business problems
                                            • +
                                            • Use your critical thinking and problem solving skills to improve the performance of reinforcement learning algorithms and integrate AI in client-focused applications
                                            • +
                                            • Develop key support systems to help train, and explain the actions of our reinforcement learning algorithms
                                            • +
                                            • Collaborate with traders and subject matter experts across the trade floor
                                            • +
                                            • Be challenged to think critically within a collaborative team working on Canada’s largest trade floor
                                            -

                                            -

                                            What CIBC Offers

                                            -

                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                            +

                                            +

                                            Core Competencies:

                                              -
                                            • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home.

                                            • -
                                            • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity.

                                            • -
                                            • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training.

                                            • -
                                            • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan.

                                            • +
                                            • Creative and novel problem solving approach
                                            • +
                                            • Programming experience in machine learning framework (Python preferred)
                                            • +
                                            • Proficiency in optimization and Bayesian statistics
                                            • +
                                            • Interest in developing reinforcement learning models
                                            • +
                                            • Strong desire to be part of a team and excellent communication skills
                                            • +
                                            • Experience in finance not required
                                            • +
                                            +

                                            +

                                            +

                                            About RBC
                                            Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.

                                            We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-sustainability.



                                            Inclusion and Equal Opportunity Employment
                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.




                                            JOB SUMMARY
                                            City: Toronto
                                            Address: 200 Bay St
                                            Work Hours/Week: 37.5
                                            Work Environment: Trading Floor
                                            Career Level: Student Job
                                            Position Level: CM – Analyst
                                            Application Deadline: 10/24/2021
                                            Req ID: 419851

                                            +
                                            ",,https://jobs.rbc.com/ca/en/job/419851/RBC-Capital-Markets-2022-PEY-QUIP-Program-16-months-AI-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/89481640-rbc-capital-markets-2022-pey-quip-program-16-months-ai-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/419851/RBC-Capital-Markets-2022-PEY-QUIP-Program-16-months-AI-Engineer,expired,2021-10-19T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +ebdff2cb-a31e-4de1-9d9b-e143375e84ad,89491892,Borealis AI,Data Engineer,on_site,"Toronto, Ontario, Canada, Waterloo, Ontario, Canada",2021-10-19T04:46:16.109Z,"

                                            What's the opportunity?

                                            +
                                            +

                                            We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                            +

                                            Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                            +

                                            Your responsibilities include:

                                            +
                                              +
                                            • Design and build data pipelines for Borealis AI projects;
                                            • +
                                            • Build efficient data systems and abstractions for Borealis AI projects;
                                            • +
                                            • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                            • +
                                            +

                                            You're our ideal candidate if you:

                                            +
                                              +
                                            • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                            • +
                                            • Strong enterprise experience in designing and building data lakes;
                                            • +
                                            • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                            • +
                                            • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                            • +
                                            • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                            • +
                                            • Strong experience with the Unix command line and bash scripting;
                                            • +
                                            • Strong communication skills and a collaborative attitude.
                                            • +
                                            +
                                            +

                                            What's in it for you?

                                            +
                                              +
                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities;
                                            • +
                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                            +

                                            About Borealis AI

                                            +

                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                            +

                                            Inclusion and Equal Opportunity Employment

                                            +

                                            Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-10-29T04:51:07.819Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/89491892-data-engineer-at-borealis-ai,,expired,2021-10-19T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2217c659-d25a-4410-9a1d-cf54ae767ec2,96914625,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2021-12-02T20:32:06.554Z,"
                                            +

                                            Company Overview

                                            +
                                            +

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            +

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            +
                                            +

                                            +

                                            Department Overview

                                            +
                                            +

                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                            +

                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                            +

                                            TD Debit Fraud Performance Management strives to protect TD Bank Customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, TD Debit Fraud Performance Management develops analytics capabilities, processes, and layers of defense to mitigate fraud. The team operates within Enterprise Protect requiring both strategic and tactical responses to ever-changing fraud patterns and provides a unique opportunity to apply critical thinking and analytical skills in a fast-paced environment.

                                            +
                                            +

                                            +

                                            Job Description

                                            +
                                            +

                                            As the Senior Business Insights Analyst, you will be responsible for developing, implementing, and monitoring strategies to manage evolving fraud trends, taking into consideration TD Bank risk appetite, Customer and operational experience. You will build on your deep analytics experience and process mindset to :

                                            +
                                              +
                                            1. Anticipate and explain potential fraud risks
                                            2. +
                                            3. Identify and develop defenses against emerging fraud trends
                                            4. +
                                            5. Understand and actively manage the operational impacts of our fraud defense strategies
                                            6. +
                                            +

                                            The successful candidate will :

                                            +
                                              +
                                            • Review daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and Customer experience
                                            • +
                                            • Own the strategy design and configuration in all fraud prevention platforms (e.g., PRM, VRM, and Cardinal)
                                            • +
                                            • Provide insights and ad-hoc analyses to support decision-making at the executive level
                                            • +
                                            • Leverage subject matter expertise to independently investigate new, high-risk exposures under tight timelines
                                            • +
                                            • Produce timely diagnostics to identify system, strategy, and operational issues
                                            • +
                                            • Participate in defect analysis to identify and remediate coverage gaps
                                            • +
                                            +

                                            +
                                            +

                                            +

                                            Requirements

                                            +
                                            +

                                            Job Requirements

                                            +
                                              +
                                            • Passion in analytics with a Customer-first mindset
                                            • +
                                            • Ability to effectively manage competing priorities in a fast-paced environment
                                            • +
                                            • Detail oriented, tech-savvy, and proficient working with big data
                                            • +
                                            • Advanced SQL, Excel, and applied R or Python experience
                                            • +
                                            • Demonstrated experience of developing and implementing models
                                            • +
                                            • Ability to “tell the story” to both technical and non-technical team members
                                            • +
                                            • Ability to take initiative and work independently under tight timelines
                                            • +
                                            • Ability to work collaboratively and build relationships
                                            • +
                                            • Undergraduate degree or technical certificate (e.g., engineering, mathematics, statistics, computer science, or analytics)
                                            • +
                                            • Three or more years of work experience in an analytical capacity
                                            • +
                                            +

                                            Preferable

                                            +
                                              +
                                            • Experience in fraud management, PRM is an asset
                                            • +
                                            • Automation experience is an asset
                                            • +
                                            +
                                            +

                                            +

                                            Additional Information

                                            +
                                            #tdcybersecurity
                                            +

                                            +

                                            Hours

                                            +
                                            37.5
                                            +

                                            +

                                            Inclusiveness

                                            +

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            +

                                            +
                                            ",,https://jobs.td.com/en-CA/jobs/14412750/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-05T15:53:20.265Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/96914625-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14412750/sr-business-insights-analyst-markham-ca/,expired,2021-12-02T20:32:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +db53537a-51da-4e4d-98e1-1835fabd2cde,101620553,Loblaw Companies Ltd.,Data Scientist,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:03.067Z,"
                                            +
                                            +
                                            +

                                            Referred applicants should not apply directly to this role.

                                            +

                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                            +

                                            +

                                            +

                                            Location:

                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                            +

                                            +

                                            Inspired by food? Committed to excellent service? So are we.
                                            At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                            +

                                            +

                                            Why is this role important?

                                            +

                                            +

                                            Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                            +

                                            If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                            +

                                            +

                                            The Discount Analytics team at Loblaw is hiring a Data Scientist with experience in applied research and problem solving. The incumbent will be responsible for conducting analyses and develop impactful models and solutions to help solve a wide variety of data science problems.

                                            +

                                            +

                                            The successful candidate will have experience with identifying needs and creating process improvement solutions, working with multiple stakeholders and maintaining collaborative relationships with business partners. The candidate should have solid working knowledge of Python and SQL. Process automation and software engineering skills are an asset. The candidate will be a self-starter who has passion for providing various ways to improve effectiveness within the business. This is a hands-on role and requires applying analytic techniques to solve real-world problems and challenges.

                                            +

                                            +

                                            What You'll Do:

                                            -

                                            What You Need to Know

                                              -
                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com

                                            • -
                                            • You need to be legally eligible to work at the location(s) specified below and where applicable, must have a valid work or study permit.

                                            • +
                                            • Meet with various business units to understand their existing processes and identify areas of opportunities and improvement
                                            • +
                                            • Work effectively in cross-functional teams
                                            • +
                                            • Increase internal adoption of test design, statistical measurement and advanced analytics methodologies
                                            • +
                                            • Stay up-to-date and implement the best data and software development (SQL, Python, ML) approaches
                                            • +
                                            • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information

                                            -

                                            What you need to know

                                            +

                                            What You'll Bring:

                                            +

                                              -
                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com -
                                            • -
                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                            • +
                                            • University, Master or Ph.D. degree in an analytical field of study (e.g. Engineering, Mathematics, Statistics, Economics, Computer Science, Industrial Psychology or other relevant fields).
                                            • +
                                            • 3+ years of work experience directly related to quantitative analysis with proven results
                                            • +
                                            • Experience in SQL, Python, and PySpark
                                            • +
                                            • Experience working in cloud environments, with a preference for GCP
                                            • +
                                            • Experience in analytical roles working with large data sets and analytic tools, and some subset of the following: scikit-learn, Tensorflow, PyTorch
                                            • +
                                            • Experience in software engineering is an asset
                                            • +
                                            • Critical thinking, problem-solving, storytelling skills
                                            • +
                                            • Ability to take initiative, multi-task and work in a fast-paced environment
                                            • +
                                            • Strong detail orientation is essential in this role
                                            • +
                                            • A team player and self-starter

                                            +

                                            COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                            -

                                            Job Location

                                            Toronto-CC North 26th Floor

                                            Employment Type

                                            Regular

                                            -

                                            Weekly Hours

                                            37.5

                                            Skills

                                            +

                                            In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                            +

                                            +

                                            +

                                            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                            +

                                            +

                                            +

                                            +

                                            Employment Type:

                                            Full time

                                            +

                                            +

                                            Type of Role:

                                            Regular

                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                            +

                                            +

                                            Please Note:  
                                            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                            -
                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Machine-Learning-Engineer--Data-Enablement--Advanced-Analytics---AI_2123632,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2021-10-04T09:54:04.973Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/85698573-machine-learning-engineer-data-enablement-advanced-analytics-ai-at-cibc,,expired,2021-09-30T09:49:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -afcec209-c81a-4ab3-a9dc-7faa89eddb8f,85827264,Deloitte,"Senior Manager, Intelligent Automation, Omnia AI (Toronto)",on_site,"Multiple Locations, Ontario, Canada",2021-10-01T02:39:23.043Z,"
                                            -

                                            Job Type: Permanent
                                            Primary Location: Multiple Locations, Ontario, Canada
                                            All Available Locations: Toronto; Ottawa

                                            -

                                            -

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Partner with clients to solve their most complex problems
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            -
                                            -
                                            -
                                            -

                                            -

                                            Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                            -
                                            -
                                            -

                                            What will your typical day look like?

                                            -
                                            -

                                            As part of this team you would be working with our industry and account teams – spotting client opportunities, tailoring our propositions and working together to convert sales. You would harness key IA platforms such as ABBYY, AWS, Automation Anywhere, Blue Prism, Celonis, GCP, Microsoft, UiPath and others, to address the challenges and automation ambitions of our clients and deliver results. As a Senior Manager within this team, you have the opportunity to combine your deep industry experience with your technical knowhow to develop your career while working with multiple clients.

                                            -

                                            A Senior Manager at Deloitte is expected to contribute to the firm's growth and development in a variety of ways, including:

                                            -
                                            • Business Development: Develop and maintain contact with top decision makers at key clients in your sector; work closely with Deloitte industry and account leaders in your chosen industry to integrate IA propositions; organize and lead IA pursuit teams; lead, participate and win proposals.
                                            • Client Management: Manage day-to-day interactions with executive clients and sponsors; define, educate and embed IA principles and solutions at clients.
                                            • Engagement Management: Lead IT engagement teams; complete project planning and budgeting; define deliverable structure and content; facilitate buy-in of proposed solutions from all levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk; manage diverse teams within an inclusive team culture where people are recognized for their contribution.
                                            • Practice Development & Eminence: Develop IA practical solutions, Proof of Concepts and methodologies; develop IA thought leadership and point-of-view documents; participate in public speaking and events in your industry.
                                            • People Development: Perform role of people leader and coach; provide input and guidance into the staffing process; actively participate in IA staff recruitment and retention activities; provide leadership and support for IA delivery teams and staff in local offices.
                                            • +
                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist_R2000226486?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-05T18:30:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/101620553-data-scientist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist_R2000226486?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, +9b08bace-080b-4afd-a2d7-d8c958aecade,101620554,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-12-30T17:55:03.339Z,"
                                            +
                                            +
                                            +

                                            Referred applicants should not apply directly to this role.

                                            +

                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                            +

                                            +

                                            +

                                            Location:

                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                            +

                                            +

                                            Inspired by food? Committed to excellent service? So are we.
                                            At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                            +

                                            +

                                            Why is this role important?

                                            +

                                            +

                                            Why This Role is Important:

                                            +

                                            +

                                            Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                            +

                                            If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                            +

                                            The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                            +

                                            +

                                            What You'll Do:

                                            +
                                              +
                                            • Responsible for the extraction and analysis of complex information from a variety of databases.
                                            • +
                                            • Support initiatives to make business partners more self-sufficient.
                                            • +
                                            • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                            • +
                                            • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                            • +
                                            • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                            • +
                                            • Analyze data to help determine insights to solve business problems or identify new opportunities
                                            • +
                                            • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                            • +
                                            • Actively identify and execute initiatives to improve process and data infrastructure
                                            • +
                                            • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                            • +
                                            • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                            • +
                                            • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                            • +
                                            • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                            -
                                            -
                                            -
                                            -

                                            About the team

                                            -
                                            -

                                            Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            -

                                            In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                            -
                                            -
                                            -
                                            -

                                            Enough about us, let’s talk about you

                                            -
                                            -

                                            You are someone with:

                                            -
                                            • Solid delivery experience with intelligent automation projects, including with Robotic Process Automation, Business Process Management and Artificial Intelligence solutions (or other technology-enabled transformation programs/projects) with large budgets and strategic impact, particularly in your chosen industry sector
                                            • Provided advisory and implementation expertise to clients including use case and business case development for disruptor based technologies
                                            • A proven track record of successfully leading and managing teams, including performance management, coaching and mentoring
                                            • Managed stakeholders using clear communications and formed strong client relationships
                                            • Knowledge and understanding of how Intelligent Automation technologies are driving change across your chosen industry and market, and address organizational challenges
                                            • Designed and/or delivered automation centers of excellence (CoE) and operating models (desirable)
                                            • Strong commercial and project management skills
                                            • Worked independently and managed multiple task assignments
                                            • Relevant consulting or industry experience
                                            • Worked within an agile delivery environment; experience/certification in delivering change initiatives in an agile way is a plus
                                            • Managed junior resources both on a project and day-to-day basis, including the quality assurance of client deliverables
                                            • Worked effectively within an inclusive team and actively supported the development of individuals and teams, both formally and informally
                                            • Eligibility for Canadian security clearances preferred
                                            • +

                                              +

                                              What You'll Bring:

                                              +
                                                +
                                              • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                              • +
                                              • Programming skills with SQL, Python, PySpark
                                              • +
                                              • In-depth knowledge of predictive modelling, machine learning modelling
                                              • +
                                              • Experience in utilizing advanced SQL data extraction and manipulation tools
                                              • +
                                              • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                              • +
                                              • Retail analytics experience with a marketing focus preferred
                                              • +
                                              • In-depth knowledge of pattern recognition models is an asset.
                                              • +
                                              • Data mining experience working with a large relational customer database
                                              • +
                                              • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                              • +
                                              • Ability to take initiative, multi-task and work in a fast-paced environment
                                              • +
                                              • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                              • +
                                              • Strong detail orientation is essential in this role
                                              • +
                                              • A team player and self-starter
                                              • +
                                              • Advanced MS Office skills (Excel, Word)
                                              +

                                              +

                                              COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                              +

                                              +

                                              In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                              +

                                              +

                                              +

                                              +

                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                              +

                                              +

                                              +

                                              +

                                              Employment Type:

                                              Full time

                                              +

                                              +

                                              Type of Role:

                                              Regular

                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                              +

                                              +

                                              Please Note:  
                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                            -
                                            -
                                            -

                                            Why Deloitte?

                                            -

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            -
                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            • +
                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-05T18:30:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/101620554-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=company_career_site&utm_source=loblaw.ca&utm_medium=referral,expired,2021-12-30T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +3aabd1e7-b4c5-4300-a29b-834f36e9129a,80476091,TELUS,Automation Engineer (Voice & Services Automation),on_site,"Toronto, ON, Canada",2021-08-31T17:31:08.528Z,"

                                            Join our team We are a dynamic team that is both passionate about automation and the technology driving our rapidly-evolving data, telephony, and messaging network evolution. As part of the Voice & Service Automation Team, you will support best-in-class voice & services reliability by automating network provisioning and testing across our services and platforms. Together we will improve network and service reliability, resiliency, and time to market while further developing our automation system capabilities for the future. Here's the impact you'll make and what we'll accomplish together As an Automation Engineer, you’ll apply your technical knowledge and innovative thinking to tackle challenging and stimulating projects using new, cutting edge technologies. You’ll collaborate closely with other engineers and design specialists, sharing ideas, knowledge and experiences that will improve the quality and efficiency of our network for our customers. We are passionate about learning, growing and developing as individuals and as a team. Here's how

                                            +

                                            +
                                              +
                                            • Drive and lead the adoption of an automation-first approach to our critical functions
                                            • +
                                            • Engage and work closely with our partner teams to fully understand current state of operations and define automation opportunities to support the end-to-end provisioning process across our wireless and fixed voice networks
                                            • +
                                            • Explore customer feedback, data insights and analytics to uncover automation opportunities that drive improvements in our products and services
                                            • +
                                            • Create, execute, improve and maintain automation test, provisioning, and workflow scripts through standard methodologies, closely monitor results, and participate in peer reviews
                                            • +
                                            • Collaborate with internal stakeholders and external vendors to further develop automation system capabilities and roadmaps in support of our network and services evolution
                                            • +
                                            • Help drive the evolution of our teams towards a DevOps and Agile culture
                                            -


                                            The next step is yours

                                            -

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-10-31T14:38:35.421Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/85827264-senior-manager-intelligent-automation-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,expired,2021-10-01T02:39:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, -c4719af9-49c9-42cf-8ec5-722baf16d9ff,86819784,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2021-10-04T17:51:27.722Z,"
                                            -

                                            Company Overview

                                            -
                                            -

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            -

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            -
                                            +

                                            You're the missing piece of the puzzle

                                            +
                                              +
                                            • Working knowledge of Wireless (5G/LTE/HSPA), Fixed Voice (VoIP/NGN/TDM), and Messaging (SMS/MMS) network architectures, technologies, networking routing, and signalling protocols
                                            • +
                                            • Working knowledge of Telecommunication OSS and BSS management network and systems
                                            • +
                                            • Familiar with CI/CD (Continuous Integration and Continuous Delivery), DevOps best practices and the tools used to implement them
                                            • +
                                            • Experience with testing and provisioning automation tool sets (Sigos, inSwitch, Jenkins, Selenium, Appium, Splunk, Git, Python, Groovy, Java, Robot Framework )
                                            • +
                                            • Working knowledge of API integration (REST/SOAP), XML, JSON, YAML
                                            • +
                                            • Hands-on experience in automation application/scripts development in various environments (Linux, Shell, Web, Windows, etc)
                                            • +
                                            • Working knowledge on workflow automation/orchestration
                                            • +
                                            • Proficient in MS Office, Google Suite or similar tools
                                            • +
                                            • A team player with ability to build relationships, influence others and foster ownership within cross-functional teams
                                            • +
                                            • Capable of tackling ambiguous problems, bringing structure and process to help shape solutions
                                            • +
                                            • Good written and oral communication skills, including creating and delivering presentations, summarizing technical content for an executive audience
                                            • +
                                            • 3+ of years of experience as a software developer or network engineering, preferably in a DevOps environment
                                            • +
                                            • Degree in Engineering or Computer Science
                                            • +
                                            +

                                            Great-to-haves

                                            +
                                              +
                                            • Experience working with Agile/Scrum/Kanban
                                            • +
                                            • Experience in Service Development, Project Management, Network Planning, Network Operations, and Change Management
                                            • +
                                            • SAP and Capital budget management
                                            • +
                                            • Device Operating systems (iOS, Android)
                                            • +
                                            +

                                            A bit about us
                                            Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here.

                                            +

                                            Accessibility

                                            +

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            -

                                            Department Overview

                                            -
                                            -

                                            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                            -

                                            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                            -

                                            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                            -
                                            +

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            +

                                            ",,https://telusjobs.telus.com/jobs/automation-engineer-voice-services-automation-27268,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/80476091-automation-engineer-voice-services-automation-at-telus,,expired,2021-08-31T17:31:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +e5085ab7-bcc7-441d-a34b-8de1f94dc91f,80476122,TELUS,"Director, Data Engineering Platforms",on_site,"Toronto, ON, Canada",2021-08-31T17:37:18.566Z,"

                                            We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do. Join our team We are searching for a talented candidate to become our team’s Director - Data Engineering Platforms. The Director will be responsible for the Development and Operations of enterprise foundational platforms providing curated data and insights leveraged across TELUS. The Director will be an agent of change in a very dynamic and fast changing environment and will be the custodian of its evolving strategy, roadmap, execution and maintaining cutting edge cloud skillset. Reporting to the VP – Data Strategy & Enablement, the successful candidate will lead a group of talented data and software engineers and data technology architects working alongside various business units across TELUS to enable the acceleration of insights to actions to savings/revenue generation through efficient creation, distribution & exchange of high quality datasets across TELUS. This is Your Opportunity At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the Director - Data Engineering Platforms will have the opportunity to:

                                            -

                                            Job Description

                                            -
                                            -

                                            -

                                            About this Role

                                            -

                                            You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                            -

                                            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                            -

                                            As a Data Scientist I, these are the essential qualifications of this role:

                                              -
                                            • Guide on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization
                                            • -
                                            • Interpret the meaning of new strategic directions and set objectives and measurements
                                            • -
                                            • Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements
                                            • -
                                            • Capture and analyze information or data on current and future trends
                                            • -
                                            • Seek information on issues impacting the progress of organizational and process issues
                                            • -
                                            • Educate the organization on approaches, such as testing hypotheses and statistical validation of result
                                            • -
                                            • Help the organization understand the principles and the math behind the scientist process to drive organizational alignment
                                            • -
                                            • Translate up to date information into continuous improvement activities that enhance performance
                                            • -
                                            • Research organizational and professional trends, evaluate information sources, and collate and compare findings for bias, omission and accuracy, conduct objective analysis
                                            • -
                                            • Establish positive working relationships across multiple business and technology partners, program and project managers
                                            • -
                                            • Participate in knowledge transfer within the team and business units
                                            • +
                                            • Lead a team of talented data and software engineers to drive the strategy, plans and execution of our enterprise data and analytics foundational common platforms
                                            • +
                                            • Maintain and evolve capabilities and technology roadmaps aligned with the always evolving business stakeholder needs
                                            • +
                                            • Advance our systems reliability by applying SRE principles optimizing for expected uptime, development of new features and cost
                                            • +
                                            • Implement and evolve DevOps principles and tooling to ensure continuous delivery and automation of data pipelines for delivering curated data
                                            • +
                                            • Drive the transformation and strategic cloud centric direction to adapt the best of new technology to our data foundations to increase our ability to drive better outcomes
                                            • +
                                            • Drive the continuous systems transformation as we migrate infrastructure and applications to the cloud
                                            • +
                                            • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner to our stakeholders and in accordance with our privacy and security by design policies
                                            • +
                                            • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                            • +
                                            • Mentor, lead, and support a diverse and very talented team
                                            -
                                            +

                                            You're the missing piece of the puzzle

                                            +
                                              +
                                            • You are go-getter and trailblazer who can work leverage teamwork and connections to drive value creation
                                            • +
                                            • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                            • +
                                            • You are resilient and adept at challenging the status quo by constantly observing, being curious and asking questions
                                            • +
                                            • You can communicate clearly and effectively in both technical and business matters
                                            • +
                                            • You never stop learning and are always hungry for more knowledge
                                            • +
                                            • You are analytical and outcome-oriented with a proven ability to translate technical considerations into business implications (and vice versa!) as well as to synthesize data into actionable insights
                                            • +
                                            • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                            • +
                                            • You have experience with agile ways of working and a bias for action to break down barriers to get results fast with a test and learn mindset
                                            • +
                                            • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                            • +
                                            +

                                            Great-to-haves

                                            +
                                              +
                                            • Bachelor of Computer Science, Electrical Engineering or related technical fields
                                            • +
                                            • MBA or equivalent
                                            • +
                                            • Experience in Google Cloud Platform (GCP)
                                            • +
                                            • 8+ of progressive and relevant work experience
                                            • +
                                            +

                                            What We Give Back to You

                                            +
                                              +
                                            • Flexible work styles with the ability to work in and out of the office
                                            • +
                                            • Opportunities to excel and show your stuff – work on high value and high visibility projects
                                            • +
                                            • Work in an organization that actively supports you giving back to the community you live in
                                            • +
                                            • Competitive pay and benefits
                                            • +
                                            • A workplace that lets you be your best every day and embraces our core values: Spirited team work, Courage to innovate, Embrace change and Initiate opportunity and a Passion for growth
                                            • +
                                            +

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability — your unique contributions and talents will be valued and respected here. DESJobs

                                            +

                                            Accessibility +

                                            +

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            +

                                            +

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/director-data-engineering-platforms-26207,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476122-director-data-engineering-platforms-at-telus,,expired,2021-08-31T17:37:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Director,Masters Degree,New Posting, +6ed95c34-a242-4c0c-a245-ca0fb7c56a79,80476128,TELUS,Software Developer – Data Science,on_site,"Toronto, ON, Canada",2021-08-31T17:38:19.206Z,"

                                            Join our team
                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                            We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.
                                            Together, we will develop and execute strategic programs that will enhance the experience for TELUS subscribers and internal stakeholders across TELUS.
                                            Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you! Here’s the impact you’ll make and what we’ll accomplish together
                                            As a Software Developer - Data Science, you’ll be a part of the team and journey that will transform the way we do business across various domains. You will provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployment.
                                            You will combine your expert knowledge of data science with your strong software development skills to automate and facilitate machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.
                                            You will be working in an environment defined by continuous integration on multiple solutions that will exchange information. You will have to understand a complex architecture and guide its evolution.
                                            You’ll collaborate with teams across the company to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. Here's how

                                            -

                                            Requirements

                                            -
                                            - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                              -
                                            • Undergraduate degree or technical certificate
                                            • -
                                            • Five (5) or more years of relevant experience
                                            • +
                                            • Lead the software development and implementation of ML & AI and Big Data solutions
                                            • +
                                            • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology on Software Development
                                            • +
                                            • Focus on code quality and timely delivery of AI products and solutions with a focus on performance, maintainability and scalability
                                            • +
                                            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                            • +
                                            • Identify opportunities for code optimization and refine to improve effectiveness/accuracy and enhance ROI
                                            • +
                                            • Collaborate with Data Scientists and Data Engineers within TELUS as well as external business stakeholders
                                            • +
                                            • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                            -

                                            -

                                            Hours

                                            -
                                            37.5

                                            -

                                            Inclusiveness

                                            -

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            +

                                            You're the missing piece of the puzzle

                                            +
                                              +
                                            • You are recognized for addressing business needs via your application of software development, data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                            • +
                                            • 3+ years of experience working in a software engineering role with a track record of building highly scalable and robust systems
                                            • +
                                            • You are sought out when it comes to analyzing and translating technicalities into business implications
                                            • +
                                            • You have solid development experience with consuming and designing RESTful APIs in Python
                                            • +
                                            • You are comfortable using various front end frameworks like React
                                            • +
                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                            • +
                                            • Strong understanding of application level and system level software design patterns
                                            • +
                                            +

                                            Great-to-haves

                                            +
                                              +
                                            • BS/MS degree in Computer Science, Engineering, or relevant field
                                            • +
                                            • Machine learning and data science knowledge
                                            • +
                                            • Experience with agile methodology and work in a start-up environment
                                            • +
                                            • GCP or other cloud certifications
                                            • +
                                            +

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here. DESJobs

                                            +

                                            Accessibility +

                                            +

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            -
                                            ",,https://jobs.td.com/en-CA/jobs/13987970/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-07T19:56:39.886Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/86819784-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13987970/data-scientist-i-toronto-ca/,expired,2021-10-04T17:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,College Diploma,New Posting, -12087ec6-7bd0-4b11-81de-8caa2451e3b9,86862160,Intact Financial Corporation,"Senior Data Scientist, Intact Lab (West)",on_site,"Toronto, ON, Canada",2021-10-05T04:39:18.092Z,"

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                            Here, innovation is everyone's job. Ready to make your mark?


                                            +

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/software-developer-%E2%80%93-data-science-24626,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/80476128-software-developer-data-science-at-telus,,expired,2021-08-31T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +4a04d8c0-21fa-45d6-b664-034d496578f3,80476134,TELUS,Senior Technology Architect – Data Engineer,on_site,"Toronto, ON, Canada",2021-08-31T17:39:42.977Z,"

                                            Join our team The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
                                            We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                            Here’s the impact you’ll make and what we’ll accomplish together
                                            The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.
                                            Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies. Here’s how

                                            +

                                            +
                                              +
                                            • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                            • +
                                            • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                            • +
                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                            • +
                                            • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                            • +
                                            • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                            • +
                                            • Support the data pipelines feeding into our machine learning algorithms and models
                                            • +
                                            • Assist the extracting, loading, transforming, cleaning, and validating of data
                                            • +
                                            +

                                            You're the missing piece of the puzzle

                                            +
                                              +
                                            • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                            • +
                                            • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning Spark applications
                                            • +
                                            • Google Cloud Dataflow and Google BigQuery experience
                                            • +
                                            • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                            • +
                                            • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                            • +
                                            • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                            • +
                                            • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                            • +
                                            • You are familiar SQL-on- technologies (Hive, Impala, Spark SQL, Presto)
                                            • +
                                            +

                                            Nice to have

                                            +
                                              +
                                            • GCP Professional Data Engineering certification
                                            • +
                                            • DevOps practices and tools experience
                                            • +
                                            • Orchestration and job scheduling platforms experience
                                            • +
                                            +

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability —your unique contributions and talents will be valued and respected here. DESJobsDESJobs

                                            +

                                            Accessibility +

                                            +

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            +

                                            +

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/senior-technology-architect-%E2%80%93-data-engineer-25342,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-09-14T07:28:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/80476134-senior-technology-architect-data-engineer-at-telus,,expired,2021-08-31T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,No Degree,New Posting, +355c4f54-8b35-4043-bc54-aa6c7ce4ad80,80476159,Intact Financial Corporation,"Data Scientist Technical Lead (Toronto), Intact Lab",on_site,"Toronto, ON, Canada",2021-08-31T17:45:44.013Z," + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                            +

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            +

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            +

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                            +

                                            Here, innovation is everyone's job. Ready to make your mark?

                                            +
                                            +
                                            About the role
                                            +

                                            Are you a machine learning expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                            +

                                            Hiring Manager: Amine Mahmoudi

                                            +

                                            Workplace: Toronto (700, University Ave)

                                            +

                                            Your contribution:

                                            +
                                              +
                                            • Be the technical leader that help defining data science problems and developing innovative solutions using machine learning and advanced statistics
                                            • +
                                            • Help achieve long-term business goals by identifying and implementing solutions to subtle or ambiguous problems with the highest scientific rigour
                                            • +
                                            • Influence the lab technical direction by making actionable recommendations based on scientific and business findings to management
                                            • +
                                            • Coaching and mentoring of senior data scientists on technical matters and act as a technical reference for management
                                            • +
                                            • Review machine learning solutions and identify their corresponding scientific debt, and ultimately assess readiness for production deployment
                                            • +
                                            • Help the teams maintain a high scientific level by monitoring the application of data science standards of practice and participate in their evolution
                                            • +
                                            • Keep pace with new approaches and trends and use them in your own solutions
                                            • +
                                            • Work with other departments to promote the adoption of analytical principles within the organization
                                            • +
                                            +
                                            +
                                            Qualifications
                                            +

                                            Your assets:

                                            +
                                              +
                                            • Your Master’s or PhD’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                            • +
                                            • Your 8 years of experience in the field of advanced statistics, data mining and text mining
                                            • +
                                            • Strong communication, time management, great teamworking and organization skills
                                            • +
                                            • Expert-level understanding of the underlying theory of machine learning
                                            • +
                                            • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                            • +
                                            • A multi-platform production experience with commercial and open-source data mining frameworks like Python, R, GitHub, etc.
                                            • +
                                            • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                            • +
                                            +

                                            Here are a few reasons why others have joined our team:

                                            +
                                              +
                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • +
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • +
                                            • Flexibility in how and where you work
                                            • +
                                            • A comprehensive financial rewards program that recognizes your success
                                            • +
                                            • An extensive, flexible benefits package
                                            • +
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • +
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • +
                                            • A $350 annual wellness account that promotes an active lifestyle
                                            • +
                                            +
                                            +
                                            Closing Statement
                                            +

                                            We are an Equal Opportunity Employer

                                            +

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            +

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            +

                                            Background Checks

                                            +

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            +

                                            Internal Candidates

                                            +

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            +

                                            Eligibility to Work in Canada

                                            +

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                            +
                                            +
                                            Referral Bonus
                                            +

                                            This role is eligible for employee referral bonus. #myReferrals3000

                                            +
                                            +
                                            LinkedIn Sponsored
                                            +

                                            #LI-QuebecIT

                                            +
                                            +

                                            ",,https://careers.intactfc.com/ca/en/job/122668/Data-Scientist-Technical-Lead-Toronto-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2021-09-30T17:45:45.521Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/80476159-data-scientist-technical-lead-toronto-intact-lab-at-intact-financial-corporation,,expired,2021-08-31T17:45:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +aee32021-2ea2-48db-b7c2-1df7aea9f5ff,80476171,Intact Financial Corporation,"Scrum Master AI, Intact Lab",on_site,"Toronto, ON, Canada",2021-08-31T17:48:03.458Z,"
                                            -

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day

                                            Here, innovation is everyone's job. Ready to make your mark?


                                            About the role
                                            -

                                            Hiring manager: Neil Shepherd

                                            At the Intact Lab, we’re driven by a purpose to help people and we value the opportunity to use data, AI and machine learning to solve real-life customer and business problems. While we believe AI is still in its infancy, we continue to lead our industry and aim to become the best insurance AI shop in the world.

                                            As a Senior Data Scientist with the Intact Lab, you'll thrive as a technical expert, thought leader, and teacher with our diverse and highly skilled team. You'll leverage your expertise and knowledge of trends in analytics to make recommendations that solve complex problems and promote best practices across the organization. With the support of a passionate team, you will help create real value for both customers and teammates. Enjoy a work experience that promotes work-life balance with one of North America’s recognized best employers.

                                            What you'll do here:

                                            • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                            • Transform complex databases into relevant conclusions and recommendations
                                            • Keep pace with new approaches and trends and use them in your own solutions
                                            • Help maintain our data mining tools and platforms
                                            • Make actionable recommendations based on the findings
                                            • Work with other departments to promote the adoption of analytical principles within the organization
                                            • Validate the quality of the analytical approach and project outputs of the other team members

                                            +

                                            Workplace : Montreal (2020, Blvd. Robert-Bourassa) or Toronto (700 University ave.)

                                            Your mission :
                                            As a Scrum Master, you will act as a facilitator to support the team in reaching their objectives while contributing to the establishment of a pleasant and efficient environment.

                                            • Join an Artificial Intelligence team with high visibility and a multitude of challenges.
                                            • Work closely with the team and provide vision and leadership.
                                            • Ensure proactive and effective communication at all levels and mobilize teams.
                                            • Anticipate problems and sensible situations, propose solutions and participate in the resolution.
                                            • Work with the manager and project manager to determine sprint priorities.
                                            • Formalise delivery processes, quality control and the ""Definition of Done"".
                                            • Guide the team in applying the AGILE methodology while adapting the methodology according to the needs of the team and the context of deliveries.
                                            • Measure the velocity of the team and the progress of the deliverables.
                                            • Plan and coordinate deployments, prepare deployment plans, and produce evidence for implementation.

                                            Qualifications
                                            -

                                            What you bring to the table:

                                            • Your Master’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                            • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                            • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                            • Open-source frameworks: R, Python, GitHub
                                            • Expert-level understanding of the underlying theory of machine learning
                                            • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                            • Your enthusiasm for teamwork
                                            • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                            • Your strong communication, time management and work organization skills

                                            Here, innovation is everyone’s job and you’ll have the opportunity to make your mark. In return, we promise you the support, opportunities and flexibility to do you life’s best work and be your best self.

                                            Here are a few reasons why others have joined our team:

                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • A comprehensive financial rewards program that recognizes your success
                                            • An extensive, flexible benefits package
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • A $350 annual wellness account that promotes an active lifestyle

                                            +

                                            You are :

                                            • Interested in artificial intelligence, able to interact with software developers, data scientists and R&D teams.
                                            • Comfortable working in complex environments that are constantly evolving and multidisciplinary team.
                                            • Mobilizer, delivery-oriented and good priority management.
                                            • Autonomous, resourceful and able to question the status quo.
                                            • Very good communicator, ability to negotiate and take decisions.
                                            • Bilingual in French and English

                                            You have :

                                            • A bachelor’s degree in computer science, software development, mathematics or equivalent experience.
                                            • 3 + years of experience as a Scrum Master.
                                            • 7 + years of experience in software engineering.
                                            • Good understanding of integration and continuous delivery processes.
                                            • Strong experience of software development practices such as Agile, Devops, CI and CD and others.
                                            • Scrum Master certification is an asset as well as knowledge of Machine learning concept.

                                            Here are a few reasons why others have joined our team :

                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • Flexibility in how and where you work
                                            • A comprehensive financial rewards program that recognizes your success
                                            • An extensive, flexible benefits package
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • A $350 annual wellness account that promotes an active lifestyle.

                                            Closing Statement
                                            -

                                            Flexible Work Arrangements

                                            Right now, we support 100% remote work, if your role permits. We anticipate that in November, we’ll be moving to a hybrid approach which gives us the best of both worlds – a mix of home and in-office workdays.

                                            We are an Equal Opportunity Employer

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            Background Checks

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            Internal Candidates

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            Eligibility to Work in Canada

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                            +

                                            We are an Equal Opportunity Employer

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            Background Checks

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            Internal Candidates

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            Eligibility to Work in Canada

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                            Referral Bonus

                                            This role is eligible for employee referral bonus. #myReferrals3000


                                            LinkedIn Sponsored

                                            #LI-QuebecIT


                                            ",,https://careers.intactfc.com/ca/en/job/123438/Senior-Data-Scientist-Intact-Lab-West?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-11-04T13:02:06.173Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/86862160-senior-data-scientist-intact-lab-west-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123438/Senior-Data-Scientist-Intact-Lab-West,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -e45819d1-ba9d-4265-8c65-6b64fa90360b,86862162,Intact Financial Corporation,"Senior IT Architect, Data and Analytics, Intact Lab",on_site,"Toronto, ON, Canada",2021-10-05T04:39:19.283Z,"
                                            -

                                            Who needs insurance? Everybody. That keeps us busy. Very busy.

                                            At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                            Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                            Here, innovation is everyone's job. Ready to make your mark?


                                            -
                                            About the role
                                            -

                                            Are you a Data and Analytics Solution specialist? Do you have Cloud Data experience? Do you like to solve large-scale complex data challenges? We are hiring a data and analytics solution architect to join us as we continue to grow our market leading data and analytics practice.

                                            Are you the right fit? Come join our team!

                                            Hiring Manager : Roy Lewis

                                            Workplace: Montreal (2020 Robert-Bourassa Blvd) or Toronto (700 University av.)

                                            Your contribution:

                                            • ​Be part of a high-profile team with a multitude of opportunities to deliver transformative data solutions to our business customers.
                                            • Continue to develop and evolve the Enterprise Data Platform architecture and integrations with our systems and market tools.
                                            • Collaborate with members of various technical teams to develop data architectures that address the needs of our customers.
                                            • Collaborate with Enterprise Architecture to ensure adherence to EA principles and guidelines.
                                            • Build and maintain conceptual, logical and physical data models for BI and analytical platforms.
                                            • Guide and mentor data modelers on data modeling standards, techniques, and tools
                                            • Contribute to the development and maintenance of the data architecture roadmap for BI and analytical platforms.
                                            • Ensure data architecture is aligned with our corporate vision and objectives.

                                            -
                                            Qualifications
                                            -

                                            You are:

                                            • Passionate about creating responsive and scalable data assets.
                                            • Able to thrive in a diverse team of Business Analysts, Data and Solution Architects and delivery teams.
                                            • Apply expertise and think creatively to find solutions to problems that can be complex and non-routine
                                            • Ensure adherence of the solution with all relevant internal standards and external regulations.
                                            • Able to take a business problem and turn it into a technological solution.
                                            • Comfortable working in complex and constantly changing environments, with multidisciplinary teams.
                                            • A very good communicator who excels at explaining your ideas.
                                            • Well organized, able to multi-task and manage priorities.

                                            You have:

                                            • A bachelor’s degree in information technology/software engineering or any equivalent combination of education and experience.
                                            • At least 5 years' experience in a Senior Data Architecture role.
                                            • Experience architecting data in the cloud.
                                            • Experience working in AWS, including S3, EC2, Lambda.
                                            • Experience working in Snowflake.
                                            • Experience in Data Vault
                                            • Experience migrating traditional on-prem EDW data assets to the cloud.
                                            • Experience working in Agile delivery.

                                            Will be considered as assets:

                                            • Bilingual
                                            • Knowledge of Cloud Lake House architectures
                                            • Certification in an Architecture Frameworks (TOGAF or similar)
                                            • Experience with the CGI RCDA architecture approach

                                            Here are a few reasons why others have joined our team :

                                            • An award-winning, inspiring workplace that supports its people and recognizes great work
                                            • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                            • Flexibility in how and where you work
                                            • A comprehensive financial rewards program that recognizes your success
                                            • An extensive, flexible benefits package
                                            • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                            • A casual ‘dress for your day’ culture that encourages you to be yourself
                                            • A $350 annual wellness account that promotes an active lifestyle

                                            -
                                            Closing Statement
                                            -

                                            We are an Equal Opportunity Employer

                                            At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                            If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                            Background Checks

                                            As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                            Internal Candidates

                                            For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                            Eligibility to Work in Canada

                                            It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                            -
                                            Referral Bonus
                                            -

                                            This role is eligible for employee referral bonus. #myReferrals1000


                                            -
                                            LinkedIn Sponsored
                                            -

                                            #LI-QuebecIT


                                            -
                                            ",,https://careers.intactfc.com/ca/en/job/123206/Senior-IT-Architect-Data-and-Analytics-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-10-15T04:51:22.300Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/86862162-senior-it-architect-data-and-analytics-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123206/Senior-IT-Architect-Data-and-Analytics-Intact-Lab,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f5e93ce4-acf8-4e3a-ac6d-e710a700ce5a,86862170,Air Canada,"Specialist, Digital Enablement (DevOps) - 26395",on_site,"Location: TORONTO, ON, Canada",2021-10-05T04:39:21.673Z,"
                                            • Develop, deliver and maintain applications as per desired technology architecture and business requirements while ensuring highest quality of end-products through introduction of new tools, technology and practices for evolution of processes & optimization of applications.
                                            • Automate the build and release of multiple projects by implementing automation tools and frameworks (CI/CD pipelines).
                                            • Maintain code branches along with integrations of code across multiple branches.
                                            • Configure complex installations and quickly resolve all defects or script issues found within the installation.
                                            • Collaborate with cross-functional teams to solve development constraints and deployment issues
                                            • Apply effective coding practices for error-free timely release.
                                            • Maintaining and updating technical documents and procedures accompanied by configuration and design of database models relative the requirements of the organization
                                            • Maintains data standard and security measures through the implementation of information technology plans, policies, and standards.
                                            • Create wireframes, storyboards, user flows, process flows and site maps to effectively communicate interaction and design ideas
                                            • Accountable and responsible to own a specific delivery area, with teams having similar or uniform skill sets
                                            • Ensure adherence to professional and technical standards by reviewing and benchmarking to latest and state-of-the-art practices.
                                            • Follow DevOps delivery model and recommend adjustments based on results, when needed by ensuring functionality of our installed products are up to date and supported.
                                            • Help implement guidelines, standards, and procedures and provide recommendations for improvements.
                                            • Understand the various application architectures and ensure development of supportable automation processes.
                                            • Coordinate with Architecture and Quality teams to ensure timely delivery of projects, features, bugfixes, and infrastructure improvements into multiple production environments
                                            • Lead and coordinate the go-live activities essential to the execution of the deployment plans/checklists
                                            • -
                                            -
                                            • Mandatory Covid-19 Vaccination Required as of October 31st 2021
                                            • 9-12 years of overall IT technology experience
                                            • 4+ years of DevOps or related experience with gradually increasing responsibilities and a demonstrated understanding of DevOps and technical quality control processes, artifacts and tools.
                                            • A relevant University degree/technical certification, and/or relevant experience commensurate to the role
                                            • AWS certification is preferred.
                                            • At least 2+ years AWS experience using a broad range of AWS technologies (e.g. EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch) to develop and maintain an Amazon AWS based cloud solution.
                                            • Experience with cloud-based monitoring logging, cost analysis tools
                                            • Solid experience as a DevOps Engineer, including automation experience with configuration management tools.
                                            • Strong scripting (e.g. Python) and automation skills.
                                            • Experience and proficiency with Linux system administration.
                                            • Experience with version control repositories like GIT
                                            • Knowledge of containerization tools (e.g. Docker)
                                            • Understanding network topologies and common network protocols and services.
                                            • Demonstrated experience working with Agile Ops/DevOps teams, including KPI development for efficiency tracking.
                                            • Effective and professional oral and written communication skills, interfacing with internal peers, upper management, and customers.
                                            • Team player and ability to function effectively in a fast paced, team-oriented work environment with a bias toward action.
                                            • Ability to understand and affect decisions strategically for the interest of Air Canada first and foremost
                                            • -
                                            ",,https://careers.aircanada.com/jobs/7345201-specialist-digital-enablement-devops,feed-importer@jobboard.io,,,,2021-10-08T04:44:10.403Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/86862170-specialist-digital-enablement-devops-26395-at-air-canada,https://careers.aircanada.com/jobs/7345201-specialist-digital-enablement-devops,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -6ba45a83-17de-4e97-b630-e799401485e1,87029159,Deep Genomics,Scientist - Computational Biology,temporary,"Toronto, ON, Canada",2021-10-06T17:50:52.025Z,"

                                            About Us
                                            We are a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, we bring together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                            About the role
                                            We are seeking a creative and talented Computational Biologist with an interest in using machine learning, large datasets and automation to revolutionize drug development. You will work regularly with and learn from our multilingual team of machine learning scientists, software engineers, computational biologists, molecular geneticists, and wet-lab scientists to help design oligonucleotide therapies.

                                            +
                                            ",,https://careers.intactfc.com/ca/en/job/122801/Scrum-Master-AI-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,https://www.intactlab.ca/,,,2021-09-14T07:28:00.000Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/80476171-scrum-master-ai-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/122801/Scrum-Master-AI-Intact-Lab,expired,2021-08-31T17:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +77da5291-fb78-4521-8287-c08368c95eeb,80476215,Scotiabank,"Manager, GRM RCUL Acquisition (Data Analytics)",on_site,"Toronto, ON, Canada",2021-08-31T17:54:16.874Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            -

                                            What you will do ?

                                            -
                                                -
                                              • Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms.
                                              • -
                                              • Analyze high-throughput drug and sequencing data (e.g. RNA-seq, CLIP-seq, MPRAs, Perturb-seq) to help build machine learning models and design novel antisense oligonucleotides.
                                              • -
                                              • Apply machine learning models to design novel antisense oligonucleotides.
                                              • -
                                              • Interrogate how antisense oligonucleotides interact with regulatory mechanisms to achieve its effect.
                                              • -
                                              • Develop fast and accurate predictive workflows to support target validation and preclinical proof-of-concept for our oligonucleotide therapeutics.
                                              • -
                                            -

                                            What do you bring ?

                                            -
                                                -
                                              • A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience
                                              • -
                                              • At least 2 years of experience with the development of novel algorithms/analysis pipelines for integrative analysis of genomics or other biological datasets.
                                              • -
                                              • Ability to design experiments, formulate hypotheses based on data, uncover causal mechanisms, and visualize data.
                                              • -
                                              • Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).
                                              • -
                                              • Proficient in Python or R.
                                              • -
                                              • You are a great communicator, highly organized and are willing to adapt to new situations quickly.
                                              • -
                                              • Comfort working with limited supervision in a fast-paced and rapidly growing work environment.
                                              • -
                                            -

                                            Nice to have:

                                            -
                                                -
                                              • Post-graduate experience (postdoc or industry).
                                              • -
                                              • Experience with RNA biology or antisense oligonucleotides.
                                              • -
                                            -

                                            What we offer?

                                            -
                                                -
                                              • A highly competitive salary and meaningful equity compensation (ESOPs).
                                              • -
                                              • A wide array of company-paid benefits.
                                              • -
                                              • Exceptional opportunities for learning and growth working alongside the world’s best team.
                                              • -
                                              • An opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology. -
                                              • -
                                            -

                                            Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.
                                            If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

                                            ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-11-11T17:51:00.000Z,True,1,0,53,https://talenthub.vectorinstitute.ai/jobs/87029159-scientist-computational-biology-at-deep-genomics,,expired,2021-10-06T17:50:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Associate,PhD,New Posting, -012492ce-edf8-478e-a30c-b2c888ffc7c7,87029198,Deep Genomics,Data Scientist - Biology,temporary,"Toronto, ON, Canada",2021-10-06T17:52:48.155Z,"

                                            About Us
                                            Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.

                                            About the role
                                            We are seeking a highly motivated data scientist (positions open in multiple groups) with strong programming and scripting skills to help us advance our therapeutic programs to the next level. The successful candidate will work in a multidisciplinary team of biologists and computational scientists, and take on tasks spanning analysis and visualization of experimental data, processing of genomics data, designing antisense oligonucleotide compounds, and supporting pre-clinical development programs. The ideal candidate would have a good understanding of molecular biology, human genetics, and statistics.

                                            +

                                            Purpose of Job:

                                            -

                                            What you'll do?

                                            -
                                                -
                                              • Analyze high-throughput experiments to assess data quality and identify hits.
                                              • -
                                              • Build tools to streamline design of antisense oligonucleotide compounds.
                                              • -
                                              • Support pre-clinical development programs with computational analyses
                                              • -
                                            -

                                            What do you bring ?

                                            -
                                                -
                                              • BSc in Computer Science, Statistics, Bioinformatics, or related fields and two years post-graduate experience, or MSc in the related fields.
                                              • -
                                              • Solid knowledge of Python, and some knowledge of R is desirable.
                                              • -
                                              • Solid statistics knowledge with ability to perform various statistical analyses independently.
                                              • -
                                              • Understanding of basic concepts in molecular biology and human genetics.
                                              • -
                                              • Comfort working in a fast-paced and rapidly growing work environment
                                              • -
                                            -

                                            What we offer ?

                                            -
                                                -
                                              • A highly competitive salary and meaningful equity compensation (ESOPs).
                                              • -
                                              • A wide array of company-paid benefits.
                                              • -
                                              • Exceptional opportunities for learning and growth working alongside the world’s best team.
                                              • -
                                              • An opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology. +

                                                The Manager, Unsecured Retail Lending Analytics is a key member of Retail unsecured credit risk team responsible for development of credit risk strategies, policies and procedures for pre-approved acquisition for Credit Cards and Unsecured Lending portfolio in order to optimize risk/return for Canadian Banking in Global Risk Management.

                                                +

                                                +

                                                Job Responsibilities:

                                                +

                                                +

                                                Portfolio Monitoring and Pre-Approved Acquisition Strategies:

                                                +
                                                  +
                                                • +Adjudication strategy development:
                                                    +
                                                  • Develop and implement credit risk strategies, policies and procedures for Credit Cards and Unsecured Lending portfolios using analytics, empirical decision models and competitive analysis.
                                                  • +
                                                  • Promote best practices and leverage appropriate analytical tools for all strategy development and policy enhancements as well as leveraging information from credit bureau and other third-party data.
                                                  • +
                                                • -
                                              -

                                              Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.
                                              If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process

                                              ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-11-11T17:52:00.000Z,True,7,0,83,https://talenthub.vectorinstitute.ai/jobs/87029198-data-scientist-biology-at-deep-genomics,,expired,2021-10-06T17:52:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Entry Level,Bachelors Degree,New Posting, -43838a9b-af15-4706-aa1a-26872a611d19,87155889,Sun Life Financial,Lead Data Scientist/ Director - Actuarial Analytics,on_site,"Ontario, Canada",2021-10-07T06:32:13.974Z,"
                                              -
                                              -
                                              -

                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                              -

                                              -

                                              -

                                              Job Description:

                                              -

                                              -

                                              Role Summary

                                              -

                                              -

                                              As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                              -

                                              -

                                              Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                              -

                                              -

                                              The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                              +
                                            • +Champion/Challenger: Leverage champion/challenger capabilities and incorporate non-traditional data and innovation for continuous improvements to existing strategies.
                                            • +
                                            • +Segmentations: Develop new risk/revenue/relationship segmentations to aid strategy development. Examine the nature and depth of customer’s relationship across lending products to strengthen and develop customer profiling tools and customer segmentation analysis.
                                            • +
                                            • +Pro-active Monitoring:
                                                +
                                              • Monitor, assess and evaluate existing risk strategies to identify opportunities and recommend changes to pre-approval strategies to ensure the Bank remains within risk appetite.
                                              • +
                                              • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts.
                                              • +
                                              +
                                            • +
                                            • +Automation: Demonstrate initiative to automate and simplify tasks to set risk thresholds to measure and control risks using technical or analytical skills and Tools like PowerBI, Tableau
                                            • +
                                            +

                                            +

                                            Support Business Line Initiatives/Projects:

                                            +
                                              +
                                            • Participate in projects for Credit Cards and Unsecured Lending programs. This includes the review of business cases, risk proposals, requirements documents and liaising with the appropriate groups throughout the organization as a trusted advisor ensuring optimal risk-return is achieved
                                            • +
                                            • Maintain a current, in-depth knowledge, relative to assigned products, of the Bank’s operating procedures and systems, by delivery channel/centralized unit (e.g. branch, digital, call center etc.). Identify areas where new/enhanced policies or procedures need to be implemented to improve productivity and performance within risk appetite and recommend/implement appropriate changes.
                                            • +
                                            +

                                            +

                                            Canadian Regulator, Internal Audit and Fraud Management:

                                            +
                                              +
                                            • Support investigations and solutioning for OSFI findings and/or Internal Audit items in an appropriate and acceptable timeframe.
                                            • +
                                            • Liaise with the Fraud Department and Security and Investigations as required.
                                            • +
                                            +

                                            +

                                            Develop and maintain relationships with internal and external business partners and similar position contacts in other financial institutions:

                                            +
                                            • Leverage data from Scotiabank Economics, Risk Analytics, Canadian Bankers Association for competitor performance and employment rates; informing the business line and preparing for headwinds as required.
                                            +

                                            Stay informed of competitive landscape, partnering with the business line to ensure that our processes, strategies and policies consider the changing landscape.

                                            +

                                            +

                                            Job Requirements:

                                            +

                                            +
                                              +
                                            • Minimum of three years with an organization focused on improving the customer experience and automating processes, with a proven track record of success in using analytical tools to conduct data analysis, ideally related to credit risk management.
                                            • +
                                            • Strong knowledge of SAS/SQL and Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques.
                                            • +
                                            • Strong analytical and MIS background, including the ability to apply standard statistical techniques using analytical tools to extract, analyze and manage data.
                                            • +
                                            • Bachelor’s degree or higher in business, statistics, economics, mathematics, management science or analytics
                                            • +
                                            • Strong communication and relationship management skills complemented with solid analytical and problem-solving skills.
                                            • +
                                            • Project management and leadership skills to prioritize, manage and implement a variety of competing initiatives is preferred.
                                            • +
                                            • Knowledge of credit scoring and risk assessment as well as portfolio management and behaviour scoring to maximize the effectiveness of existing technology in providing competitive and effective policies that respond to the credit needs of our customers is preferred.
                                            • +
                                            • Prior experience in a retail lending environment or credit risk management is preferred.
                                            • +
                                            +

                                            +

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-GRM-RCUL-Acquisition-ON-M5C2W1/548860017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-30T17:54:18.772Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/80476215-manager-grm-rcul-acquisition-data-analytics-at-scotiabank,,expired,2021-08-31T17:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +16cd042b-b21c-4fa8-84bf-37b35c618c1f,80476218,Scotiabank,"Manager, GBP Analytics",on_site,"Toronto, ON, Canada",2021-08-31T17:55:28.653Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            +

                                            +

                                            In this role as a Manager within GBP Analytics, you will contribute to the overall success of Global Business Payments by creating and executing its data, business intelligence and analytics strategy. This includes ownership and oversight for sales, product and operations KPIs, reporting, insights, and revenue opportunities. The role is highly technical and requires expert knowledge of data practices, analytical methodologies as well as Microsoft Power BI.

                                            +

                                            You will possess strong technical, financial and analytical skills as well as the ability to communicate to a broad audience including Scotiabank executives. You will also possess leadership skills as well strong knowledge of GBP products, services and operations.

                                            +

                                            +

                                            Is this role right for you? You will be responsible for:

                                            +
                                              +
                                            • Understanding how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                            • +
                                            • Creating an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                            • +
                                            • Turning data into opportunity - Identifies new revenue opportunities, reduced costs and improved operational efficiencies
                                            • +
                                            • Executing and tracking leads, prospects for Sales and Product partners
                                            • +
                                            • Owning of Microsoft Power BI reports which serve as the primary portal and one-stop shop for all GBP data consumers in order to access self-serve dashboards, insights, leads, product campaigns, product analysis and more
                                            • +
                                            • Providing solid analytics and insights to Sales, Product, Channels, CS&O, PayMod, Correspondent Banking and Deposit teams in order to drive revenue, execute against product campaigns, improve the customer experience and protect the Bank
                                            • +
                                            • Providing strong leadership to direct reports to motivate both individual and team performance and foster a commitment to Scotiabank’s Values and our Customers
                                            • +
                                            • Recruiting high potential management candidates
                                            • +
                                            • Developing staff by sharing knowledge/experience and provide opportunities for staff to share responsibility for achieving bank and department objectives/goal
                                            • +
                                            • Acting as a centre of excellence for GBP, training users in Microsoft Power BI, acting their own trusted advisors for all things data analytics
                                            • +
                                            • Providing reporting on employee measurement (Sales, Product, etc) where applicable in order to foster a performance-based culture
                                            • +
                                            • Working in alignment with the Customer Insights, Data and Analytics, Data Office, GBM Client Insights and Analytics, GBM Analytics Execution, Small Business Analytics as well as Commercial Banking Analytics and Business Planning teams
                                            • +
                                            +


                                            +

                                            Do you have the skills you need to succeed? We'd love to work with you, if you have:

                                            +
                                              +
                                            • Expert Microsoft Power BI skills
                                            • +
                                            • Experience with big data technology (Hadoop, Hive, SQL etc.)
                                            • +
                                            • Experience with Salesforce CRM
                                            • +
                                            • An Undergraduate degree in quantitative discipline (e.g. engineering, finance, mathematics, statistics etc.)
                                            • +
                                            • A University degree in relevant Business, Finance or STEM discipline (Science, Technology, Engineering and Mathematics)
                                            • +
                                            +

                                            +

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-GBP-Analytics-ON-M5H1H1/549958217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476218-manager-gbp-analytics-at-scotiabank,,expired,2021-08-31T17:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +6c333cb9-8b36-461b-a5db-134203179bea,80476221,Scotiabank,"Manager, Business Intelligence & Analytics - Canadian Business Banking",on_site,"Toronto, ON, Canada",2021-08-31T17:56:22.689Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            +

                                            +

                                            Manager, Business Intelligence and Analytics – Canadian Business Banking

                                            +

                                            +

                                            Purpose

                                            +


                                            This position supports development of Business Intelligence and Analytics in Canadian Business Banking ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

                                            +

                                            Reporting to the Senior Manager, Business Intelligence and MIS you will work independently to identify, develop and implement strategies to achieve results. You will possess a high degree of judgement to effectively review and analyze initiatives, as well as to create directions for various projects.

                                            +

                                            The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. You will work with various partners using influence and negotiation skills to ensure objectives are met.

                                            +

                                            +

                                            Accountabilities:

                                            +

                                            +

                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                            +

                                            +

                                            • Supports the development and management of business intelligence/MIS/Analytics for Commercial Banking

                                            +


                                            o Develops business intelligence reports including Sales Team Scorecards, Sales activity and other Portfolio Management reports and solutions
                                            o Ensures reports are available to the business on a timely basis and are accurate
                                            o Provides reports encompassing all Business Bank business lines, sub-business lines and segments
                                            o Ensures Sales teams and Business Bank leadership teams have appropriate amount of drill down capability to measure and manage their portfolios/business performance
                                            o Works with other reporting teams (e.g. Salesforce) to ensure business intelligence produced by different groups in the bank produce consistent results

                                            +

                                            +

                                            • Provides leading edge solutions to Business Banking stakeholders on Business Intelligence/MIS

                                            +


                                            o Implements reports in leading edge business intelligence tools (e.g. Tableau, Power BI)
                                            o Supports development of appropriate infrastructure for Business Banking teams to access reports on an on-demand basis (e.g. through Salesforce)
                                            o Enhances their knowledge and skills on business intelligence tools and infrastructure on an ongoing basis to provide Commercial Banking best in class Business Intelligence solutions
                                            o Ensures ongoing improvements in automation and process improvements to cut down cycle time for report generation and availability

                                            +

                                            +

                                            • Supports the development of analytics to enable sales effectiveness, portfolio management and business development

                                            +


                                            o Supports incumbent’s manager, Commercial Customer Experience and the Leadership team in annual development and/or refinement of Performance metrics for the sales teams across all Commercial Business lines
                                            o Provides in-depth analysis/insights on historical metrics and assists in development of new metrics
                                            o Ensures new metrics are incorporated into Performance reporting on a timely basis
                                            o Helps develop analytics to support key commercial bank initiatives (e.g. The Pulse, Operational reporting/analytics, portfolio management and business development initiatives etc.)

                                            +

                                            +

                                            • Collaborates with stakeholders in relation to delivery of Business intelligence

                                            +


                                            o Works collaboratively with data infrastructure teams within Commercial Analytics and GBM Analytics teams to ensure appropriate data infrastructure is in place to facilitate timely and accurate delivery of business intelligence reports
                                            o Works collaboratively on requests from field support teams to ensure field queries and feedback is actioned and incorporated in future MIS development
                                            o Works proactively with development teams in Salesforce and other areas to improve infrastructure required to enhance efficiencies for end users and for the Analytics teams
                                            o Supports Commercial Customer Experience and Sales teams on ad-hoc analysis

                                            +

                                            +

                                            • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                            +

                                            +

                                            • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                            +

                                            +

                                            • Champions a high-performance environment and contributes to an inclusive work environment.

                                            +



                                            Educational Requirements:

                                            +


                                            • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                            • MBA (Finance or Analytics) – preferred

                                            +

                                            +

                                            Experience:

                                            +


                                            • 3+ years experience in developing Business Intelligence solutions through Power BI and/or Tableau
                                            • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                            • Exposure or experience in programming, application development and/or data warehousing
                                            • Experience accessing, compiling and analyzing large volumes of data into usable form required
                                            • Using SAS, SQL server database programming an asset
                                            • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                            • Experience with open-source languages such as Python, Django, Flask, JS, D3, Angular an asset

                                            +

                                            +

                                            Skills:

                                            +


                                            • Advanced proficiency with Excel programming and Microsoft Access skills including queries, forms, reports and macros
                                            • Excellent verbal and written communication skills are required
                                            • Strong prioritizing, analytical, presentation, project management and planning skills
                                            • Effective strategic thinking, organizational know-how and influencing skills are critical for success
                                            • High degree of knowledge of Business products and profit drivers
                                            • Strong technical skills in Math, Statistics, Computer Science or related fields
                                            • Excellent design and delivery capabilities
                                            • Ability to work non-standard hours as required

                                            +

                                            +

                                            +

                                            #IN-CB

                                            +

                                            +

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H1H1/549787017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-14T07:28:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/80476221-manager-business-intelligence-analytics-canadian-business-banking-at-scotiabank,,expired,2021-08-31T17:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f4f5c80f-e532-4dfb-9d87-8bb6c7c5cd15,80476222,Scotiabank,"Manager, Analytics",on_site,"Toronto, ON, Canada",2021-08-31T17:57:04.201Z,"

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            +

                                            +

                                            The Manager, Analytics contributes to the development and refinement of business strategies, programs, and offers at Automotive Finance (AF) by providing data-driven insights to the business line decision makers. This individual is responsible for compiling, aggregating, testing and validating different hypotheses from internal and external stakeholders (AF and DFC Senior Management, business leaders, manufacturer partners) and converting them into practical business intelligence and recommendations to identify and seize new business opportunities. The incumbent also manages analytical tools with both high-level dashboard and detailed drilldown analysis functionalities for various groups of internal and external users (AF Head Office, DFCs, and manufacturer partners).

                                            +

                                            +

                                            The Manager, Analytics works closely with key internal and external stakeholders as well as various IT&S and other departments on all matters related to AF Business Intelligence platform(s). The incumbent also provides insights into the business analytics strategy and framework and manages in-house business analytics capability.

                                            +

                                            +

                                            Key Accountabilities:

                                            +

                                            +
                                              +
                                            • Manages the process to deliver business insights and strategic reporting to the business line’s Senior Management and decision makers
                                            • +
                                            • Manages the processes and platform(s) to support Dealer Finance Centers with competitive analytics services
                                            • +
                                            • Provides solutions for ad-hoc analytics needs at AF Head Office
                                            • +
                                            • Liaises with other departments to work on cross-departmental analytics initiatives
                                            • +
                                            • Oversees the integrity of data and metrics used for all of the analytics services listed above
                                            • +
                                            • Administers AF’s BI channels to grant appropriate access rights to various groups and subgroups of users and set data authorization rules using provided BI management consoles
                                            • +
                                            • Other Accountabilities:
                                                +
                                              • Ensures compliance to AML (Anti-Money Laundering) and KYC (Know Your Customer) policy
                                              • +
                                              • Ensures adherence to Information, Security and Policy Privacy Requirements
                                              • +
                                              • Occupational Health and Safety Office, as assigned
                                              • +
                                              +
                                            • +
                                            +

                                            +

                                            Experience / Education:

                                            +

                                            +
                                              +
                                            • 3 - 5 years of experience in data analytics, financial services, business development, analysis, or related field
                                            • +
                                            • Strong working knowledge of SQL and Microsoft Access and Excel is required
                                            • +
                                            • Solid knowledge and experience in Big Data and Tableau is required. Knowledge of Power BI / other BI platforms is nice-to-have but not required.
                                            • +
                                            • A deep understanding of Automotive Finance’s structure, systems and strategies, coupled with strong relationships across the network will be an asset
                                            • +
                                            • Demonstrated ability to mine, manage and maintain key financial, transactional, and industry competitor data, as well as turn this data into meaningful business insights
                                            • +
                                            • Post-secondary degree in Business, Computer Science, Engineering or equivalent
                                            • +
                                            • Master’s degree in aforementioned study areas, MBA, and /or PMP will be an asset, but not required
                                            • +
                                            +

                                            +

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/549320617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-09-30T17:57:05.808Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/80476222-manager-analytics-at-scotiabank,,expired,2021-08-31T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +10073a66-5406-4639-85df-eff1d5689e48,80927965,Manulife,Data Analyst,on_site,"Toronto, ON, Canada",2021-09-02T21:36:02.153Z,"
                                            +
                                            +
                                            +

                                            Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                            -

                                            What will you do?

                                            -
                                              -
                                            • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                            • -
                                            • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                            • -
                                            • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                            • -
                                            • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                            • -
                                            • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                            • -
                                            +

                                            Job Description

                                            -

                                            What do you need to succeed?

                                            -
                                              -
                                            • Genuine interest in life insurance and learning the business

                                            • -
                                            • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                            • -
                                            • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                            • -
                                            • 3+ years experience leading data science projects

                                            • -
                                            • 3+ years experience in managing and leading a small team of data scientists

                                            • -
                                            • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                            • -
                                            • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                            • -

                                            -

                                            What will be nice to have?

                                            +

                                            The main responsibility of this role is to organize and make sense of collections of data focused on General Account segment. The role will have opportunity to evaluate design and review/implement information capturing pertinent to the business. The Data Analyst will analyze business requirements and sift through data from various books of record systems and ensure the data will be available in the lake for downstream consumption. The GO GA delivery team is looking for an analytical, proactive, strategic thinker to join the team as Data Analyst. The incumbent will also play a key role in promoting data usage and analytics to support future improvements.

                                            +

                                            +

                                            Key Responsibilities:

                                              -
                                            • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                            • -
                                            • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                            • -
                                            • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                            • -
                                            • Experience with data analytics and data visualization best practices

                                            • +
                                            • Utilize statistical and analytical techniques to quantify KPI and metrics using systems of data

                                            • +
                                            • Understand complex data system by working closely with engineering and product teams

                                            • +
                                            • Perform data cleaning, integration, validation and analysis using R or Python

                                            • +
                                            • Derive data insights from KPI and metric

                                            • +
                                            • Build and manage data feeds and real-time data movement as required

                                            • +
                                            • Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations

                                            • +
                                            • Build real time monitoring dashboards using various business intelligence tools (eg: Power BI, MicroStrategy etc)

                                            • +
                                            • Support ad hoc automation, data extraction, and reporting needs as required

                                            -

                                            What’s in it for you?

                                            +

                                            Education, Experience & Skills:

                                              -
                                            • Competitive salary and bonus structure influenced by market range data

                                            • -
                                            • 20 days vacation per year and an innovative sabbatical program

                                            • -
                                            • A friendly, collaborative and inclusive culture

                                            • -
                                            • Being part of our Analytics community, where we share best practices and broaden skill sets

                                            • -
                                            • Flexible Benefits from the day you join to meet the needs of you and your family

                                            • -
                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                            • -
                                            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                            • +
                                            • Degree in Computer Science, Information Systems, Mathematics, Statistics or a related field

                                            • +
                                            • Minimum 1+ years of data analytics/data engineering experience is preferred

                                            • +
                                            • Strong Mathematical and statistical understanding

                                            • +
                                            • Previous experience on customer experience analytics

                                            • +
                                            • Working knowledge of machine learning and natural language processing

                                            • +
                                            • Advanced knowledge of Python and/or R is required

                                            • +
                                            • Advanced understanding of data structure and data modeling

                                            • +
                                            • Experience with SQL, working knowledge of graph database or other no-sql databases is preferred

                                            • +
                                            • Quick learner and have excellent analytical and problem-solving skills

                                            • +
                                            • Ability to work both independently and closely with other squad members in an agile environment

                                            • +
                                            • Proactive and inquisitive mindset, constantly looking for ways to improve existing processes and streamline activities

                                            • +
                                            • Superior organizational skills; demonstrated ability to take initiative and establish priorities

                                            • +
                                            • Good verbal and written communication

                                            • +
                                            • Ability to work under deadlines

                                            • +
                                            • Aptitude to accurately identify problems, assess business impact and suggest alternate courses of actions

                                            -

                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                            -

                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                            +

                                            Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                            -

                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                            +

                                            About Manulife

                                            -

                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                            +

                                            About Manulife Manulife Financial Corporation is a leading international financial services provider that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and our global wealth and asset management segment, Manulife Investment Management, serves individuals, institutions and retirement plan members worldwide. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of March 31, 2021, we had CAD$1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.3 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as \'MFC\' on the Toronto, New York, and the Philippine stock exchanges and under \'945\' in Hong Kong.

                                            -

                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                            +

                                            Manulife is an Equal Opportunity Employer

                                            -

                                            Salary Range:

                                            104,000/104 000 - 171,700/171 700

                                            -

                                            Job Category:

                                            Advanced Analytics

                                            -

                                            Posting End Date:

                                            17/10/2021
                                            -
                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-10-18T06:37:13.333Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/87155889-lead-data-scientist-director-actuarial-analytics-at-sun-life-financial,,expired,2021-10-07T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -9985f684-5eb2-4083-a414-798f33338d55,87218209,BMO Financial Group,"Product Analyst, Jan 2022 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON M8X 1C4, Canada",2021-10-07T10:50:05.834Z,"
                                            -

                                            Address:

                                            55 Bloor Street West

                                            -

                                            -

                                            Job Family Group:

                                            Data Analytics & Reporting

                                            -

                                            -

                                            As a co-op/intern at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                            -


                                            Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Enterprise Resource Groups to further develop your network within BMO.

                                            -

                                            -

                                            Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                            +

                                            At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                            +

                                            +

                                            It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                            +
                                            +
                                            ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Analyst_JobReq0436301,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-09-09T21:41:06.297Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/80927965-data-analyst-at-manulife,,expired,2021-09-02T21:36:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3c793133-75bf-4d3b-ad6c-89beea30b942,80939911,Ada,Machine Learning Scientist,on_site,Toronto /,2021-09-03T00:34:09.995Z,"
                                            +
                                            +We’re Ada. We’re an ambitious global team that enables businesses around the world to provide incredible customer experience. Our AI-powered platform has automated over 1 billion customer interactions for some notable enterprises, including Zoom, Facebook and Shopify. We recently raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and we're officially a Canadian unicorn with a $1.2B valuation! +
                                            +

                                            +
                                            +You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth. +
                                            +

                                            +
                                            +We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us. +
                                            +

                                            +
                                            +As a Machine Learning Scientist on our ML team, you will design, experiment, and deploy data science solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
                                            +

                                            +
                                            We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.
                                            +
                                            +

                                            About You

                                            +
                                                +
                                              • 1-3 years (or equivalent) experience as a Data Scientist/Machine Learning Developer/Engineer
                                              • +
                                              • Strong understanding of ML. Preferably worked on NLP problems before but not required
                                              • +
                                              • Experienced in designing and tracking efficient and thorough data science experiments
                                              • +
                                              • Skilled in Python and Pytorch
                                              • +
                                              • Strong software and data engineering practices
                                              • +
                                            +
                                            +

                                            Outcomes

                                            +
                                                +
                                              • Help contribute improvements and maintenance for Ada’s underlying ML technologies
                                              • +
                                              • Execute on our ambitious Machine Learning product roadmap through the implementation of features
                                              • +
                                              • Review the team’s code and experiments, seek and provide feedback, and improve your understanding of the field
                                              • +
                                              • Help identify areas of opportunity and innovation within our product
                                              • +
                                            +
                                            +
                                            #LI-FT
                                            +

                                            +
                                            About Us
                                            +

                                            +
                                            Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration and generally, the way we work for the digital world instead of in-person. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.
                                            +

                                            +
                                            We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                            +

                                            +
                                            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
                                            +
                                            ",,https://jobs.lever.co/ada/07b9bfa7-f5b2-425c-9d51-c5292d645b7e,feed-importer@jobboard.io,,,,2021-10-03T17:01:06.798Z,False,0,13,108,https://talenthub.vectorinstitute.ai/jobs/80939911-machine-learning-scientist-at-ada,https://jobs.lever.co/ada/07b9bfa7-f5b2-425c-9d51-c5292d645b7e,expired,2021-09-03T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +f8db8d74-011f-4bc5-8ced-12d9f4f78723,81023679,CIBC,Data Scientist Co-op,on_site,"Toronto, ON, Canada",2021-09-03T17:39:24.921Z,"

                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                            -

                                            Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                            -

                                            -

                                            -

                                            Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                            -
                                              -
                                            • Builds effective relationships with internal/external stakeholders.
                                            • -
                                            • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                            • -
                                            • Designs, develops, and implements innovative analytical solutions.
                                            • -
                                            • Designs and produces regular and ad-hoc reports, and dashboards.
                                            • -
                                            • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                            • -
                                            • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                            • -
                                            • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                            • -
                                            • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                            • -
                                            • Designs, develops, and implements innovative analytical solutions.
                                            • -
                                            • Designs and produces regular and ad-hoc reports, and dashboards.
                                            • -
                                            • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                            • -
                                            • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                            • -
                                            • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                            • -
                                            • Analyzes data and information to provide subject-matter insights and recommendations.
                                            • -
                                            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                            • -
                                            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                            • -
                                            • Builds effective relationships with internal/external stakeholders.
                                            • -
                                            • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                            • -
                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                            • -
                                            • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                            • -
                                            • Works independently on a range of complex tasks, which may include unique situations.
                                            • -
                                            • Broader work or accountabilities may be assigned as needed.

                                              Qualifications:

                                              -
                                            • -
                                            • As a full-time employee, we would require 4-6 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.

                                            • -
                                            • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                            • -
                                            • Technical proficiency gained through education and/or business experience.
                                            • -
                                            • Verbal & written communication skills - In-depth.
                                            • -
                                            • Collaboration & team skills - In-depth.
                                            • -
                                            • Analytical and problem solving skills - In-depth.
                                            • -
                                            • Influence skills - In-depth.
                                            • -
                                            • Data driven decision making - In-depth.
                                            • -
                                            -

                                            -

                                            -

                                            We’re here to help

                                            +

                                            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                            -

                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                            +

                                            To learn more about CIBC, please visit CIBC.com

                                            -

                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                            +

                                            Job Description

                                            -

                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                            +

                                            What you’ll be doing

                                            +

                                            As a Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from client facing to operational, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in teamwork with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                            -

                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                            -
                                            ",,https://jobs.bmo.com/ca/en/job/R210023698/Product-Analyst-Jan-2022-Co-op-Internship-4-Months,info@bmocareers.com,https://bmocareers.com/,,,2021-10-21T10:55:17.662Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/87218209-product-analyst-jan-2022-co-op-internship-4-months-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210023698/Product-Analyst-Jan-2022-Co-op-Internship-4-Months,expired,2021-10-07T10:50:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -50d753b6-53a8-4142-a315-7ea67a3a98b4,87293593,Layer 6,Sr. DevOps Engineer,on_site,"Toronto, ON, Canada",2021-10-07T21:30:40.766Z,"

                                            You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                            -

                                            We are looking for world-class devops engineers and problem solvers.
                                            You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                            -

                                            Job Requirements

                                            -

                                            Must-Have:

                                            +

                                            How you’ll succeed

                                              -
                                            • 5+ years of experience building sophisticated and automated production infrastructure
                                            • -
                                            • Solid Azure or AWS experience
                                            • -
                                            • Extensive experience with Kubernetes, docker and container orchestration
                                            • -
                                            • Experience with Saltstack or other configuration management
                                            • -
                                            • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                                            • -
                                            • Experience with managing CI/CD tools and pipelines
                                            • -
                                            • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                                            • -
                                            • Experience with Git, Jenkins and Elasticsearch
                                            • -
                                            • Strong verbal and written communication skills, with the ability to work effectively across teams
                                            • -
                                            • BA/BS degree or equivalent experience; Computer Science background preferred
                                            • +
                                            • +Data: You’ll extract, explore, and wrangle data from various sources/formats to appropriately prepare it for further study
                                            • +
                                            • +Problem solving: You’ll apply business-relevant statistical, machine learning, or deep learning approaches to solve business challenges
                                            • +
                                            • +Programming: You’ll have an opportunity to program data science applications that directly solve business challenges, considering infrastructure and end-use constraints
                                            • +
                                            • +Deployment: You’ll assist with the deployment of end-to-end data science applications
                                            -

                                            Nice-to-Have:

                                            +

                                            +

                                            Who you are

                                              -
                                            • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                                            • -
                                            • Familiarity with monitoring tools
                                            • -
                                            • Experience with automated testing tools
                                            • -
                                            • Experience troubleshooting and tuning systems performance
                                            • -
                                            • Knowledge of Java
                                            • +
                                            • +Developer: You have some experience coding with at least one scripting language, e.g. python and a statistical/analytics software tool such as R
                                            • +
                                            • +Data analytics: You have the technical skills to review and evaluate data to find innovative opportunities and share with partners
                                            • +
                                            • +Problem Solving: You enjoy being presented with problems or issues and working with a team to find innovative solutions
                                            • +
                                            • +Communication: You have excellent verbal and written communication skills to effectively articulate ideas and opinions that involve reserch, interpretation, and assessment.
                                            • +
                                            • +Process Improvement: You enjoy the process of reviewing current processes and identifying improvements that will optimize or improve standards
                                            • +
                                            • +Creativity: You are curious and enjoy working in a team to visualize and design innovative solutions
                                            • +
                                            • +Inspired: Your passionate about growing your knowledge and you know there is no limit to what you can achieve
                                            • +
                                            • +Teamwork: You care about people and understand different perspectives. You work well with others and learn from the experiences of others.
                                            • +
                                            • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability
                                            -

                                            Benefits:

                                            -
                                              -
                                            • Entrepreneurial and learning culture
                                            • -
                                            • Excellent health coverage and pension plan
                                            • -
                                            • Four weeks paid vacation
                                            • -
                                            • Catered lunches twice a week over machine learning talks
                                            • -
                                            ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-11-06T21:30:00.000Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/87293593-sr-devops-engineer-at-layer-6,,expired,2021-10-07T21:30:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,New Posting, -b81e5f4f-9206-4b48-862c-33daa8a387be,87394469,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2021-10-08T19:51:15.819Z,"
                                            -

                                            Company Overview

                                            -
                                            -

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            -

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            -
                                            -

                                            -

                                            Department Overview

                                            -

                                            It is our People who make the difference in the dynamic and diversified businesses of Personal Banking. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                            -

                                            -

                                            Job Description

                                            -
                                            -

                                            Reporting directly to the Manager, Business Insight Analytics, Partnerships & Cobrands, the Senior Business Insights Analyst, will provide analytics capacity and work directly with our Credit Card business partners to develop and implement best-in-class analytical solutions and help make analytics a competitive advantage for TD.

                                            -

                                            The individual will work in close consultation with the Credit Card Air Canada Partnership & MBNA Co-Brand leaders, as well as Credit Card, data, and analytics teams across Personal Banking. We are looking for a self-motivated individual who wants to work in a fast paced and high impact business team.

                                            -

                                            Key Accountabilities:

                                            -
                                              -
                                            • Collaborate with product managers, product analysts & business insights analysts to deliver high quality, analytically sound and actionable insights
                                            • -
                                            • Create value by developing and leveraging analytical solutions to resolve business problems
                                            • -
                                            • Support business development in anticipation of, and response to, RFPs by leveraging a deep knowledge of our products in alignment with stakeholders’ priorities
                                            • -
                                            • Be a part of a highly interactive, team-oriented environment and be able to effectively translate complex analytical concepts to executive and business sponsors
                                            • -
                                            • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                            • -
                                            • Present insights to business partners with a focus on clear, concise and effective data visualization to communicate recommendations and drive strategic decision making
                                            • -
                                            • Act as mentor to other team analysts providing analytical technical & business know-how support
                                            • -
                                            • Build strong relationships with product and risk partners and other key internal and external partners
                                            • -
                                            • Build understanding of big data and advanced analytics capability within Personal Banking – leveraging enterprise Centre of Excellence and determine how to apply to Personal Banking
                                            • -
                                            -
                                            -

                                            -

                                            Requirements

                                            -
                                            -Knowledge & Skills Required:

                                            -
                                              -
                                            • Analytical thinker with proven record of delivering business impact and results through developing and executing on innovative analytics solutions
                                            • -
                                            • Business analysis skills and credit card knowledge that result in providing meaningful insights for sound decision-making, and to build strategic initiatives and planning
                                            • -
                                            • Ability to use analytics to develop detailed business cases and explain business value of projects
                                            • -
                                            • Strong problem-solving skills, with a history of using data to understand what and why things are happening
                                            • -
                                            • Flexibility to adapt and to shift focus as dynamic business needs evolve
                                            • -
                                            • Excellent communication and presentation skills; able to translate complex problems and solutions into a simple story, tailored to executive audiences
                                            • -
                                            • Passion for analytics and a customer-driven mindset
                                            • -
                                            • Strong business acumen and rigorous problem-solving skills
                                            • -
                                            • Experience working in both a technical and business context
                                            • -
                                            • Understanding of test and experimental design (Test and Learn)
                                            • -
                                            • Strong analytic skills, including statistical and segmentation analysis; data analysis and insight development
                                            • -
                                            • Understanding of when to use traditional vs big data solutions.
                                            • -
                                            • Credit card experience preferred
                                            • -
                                            -

                                            Experience/Qualifications:

                                            -
                                              -
                                            • Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                            • -
                                            • 3-5 years of relevant experience in analytics, and/or data science
                                            • -
                                            • History of delivering business impact and results by leveraging strong analytical and problem-solving skills
                                            • -
                                            • Strong knowledge of analytical tools such as SQL, Python, and Tableau, and MS Office applications such as Excel and Power Point
                                            • -
                                            • Working knowledge of general banking / consumer finance products, policies and operations.
                                            • -
                                            • Credit card experience an asset
                                            • -
                                            -
                                            -

                                            -

                                            Hours

                                            -
                                            37.5
                                            -

                                            -

                                            Inclusiveness

                                            -

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            -

                                            -
                                            ",,https://jobs.td.com/en-CA/jobs/13475571/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-18T20:42:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/87394469-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13475571/senior-business-insights-analyst-toronto-ca/,expired,2021-10-08T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -871bd4ec-600c-4513-8403-3ddc1082fb55,87394478,TD Bank Group,"Manager, Advanced Analytics (Quants)",on_site,"Toronto, ON",2021-10-08T19:51:16.888Z,"
                                            -

                                            Company Overview

                                            -
                                            -

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            -

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            -
                                            -

                                            -

                                            Department Overview

                                            -

                                            -
                                            The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Retail model validation team within MV is responsible for the validation and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail products, as well as to review, validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.
                                            -

                                            Lead a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through advanced analytics.
                                            Manage the overall Advanced Analytics team or function for a key business which may include Data Modellers and/or Data Scientist roles. May also oversee the development of statistical models, data mining and analytic solutions.

                                            -
                                            +

                                            Important information

                                            +

                                            Please note, we have multiple positions available under this posting and you may be considered by more than one hiring team

                                            +
                                              +
                                            • This job posting closes on September 22nd at midnight.
                                            • +
                                            • You are currently enrolled in a B.S./M.S in Computer Science, Engineering, Mathematics, Statistics or related quantitative field to be eligible, however, you do not need to be in a registered Co-Op program.
                                            • +
                                            • Please include your resume (no more than 2 pages) and a cover letter (no more than 1 page).
                                            • +
                                            • Work Location: As the growing situation with COVID 19 continues to evolve, further clarity on the work location will be provided at the time of your interview. Please note all employees must work within their current jurisdiction and must reside within Canada. Please note: all CIBC Co-op positions require you to be based in Canada for the duration of the term.
                                            • +
                                            • 4/8/12 months opportunities available
                                            • +

                                            -

                                            Job Description

                                            -
                                            The position reports to Senior Manager, Model Validation

                                            +

                                            What CIBC Offers

                                            +

                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges

                                            +

                                            everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of

                                            +

                                            our team, you will:

                                              -
                                            • Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for computing credit risk, and Economic and Regulatory Capital (e.g. Probability of Default, Exposure at Default, Loss Given Default), conducting stress testing (EWST/MST) and allowance estimation (IFRS 9 accounting standards).
                                            • -
                                            • Develop independent benchmarks for use in the validation of the above listed models. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
                                            • -
                                            • Prepare detailed model validation reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model limitations noted.
                                            • -
                                            • Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
                                            • -
                                            • Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
                                            • -
                                            • Stay current in knowledge of credit risk management methodologies, predictive modeling and statistical analysis.
                                            • +
                                            • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                            • +
                                            • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                            • +
                                            • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                            -

                                            -

                                            Requirements

                                            -
                                            -

                                            Requirements and/or qualifications:

                                            +

                                            What You Need to Know

                                              -
                                            • Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
                                            • -
                                            • Experience with predictive model development and/or statistical scorecard modeling
                                            • -
                                            • Hands-on experience with SAS and/or other sophisticated statistical model development tools (such as Python, R) is a must
                                            • -
                                            • Knowledge in retail banking products, customer behaviours, and credit adjudication systems is a definite asset
                                            • -
                                            • Excellent verbal and written communication skills
                                            • -
                                            • Proven ability to manage and work within a diverse group of professionals;
                                            • -
                                            • Strong interpersonal and leadership skills to lead other team members and facilitate working with key counterparties
                                            • -
                                            • Good time management and multitasking skills
                                            • -
                                            • Quick learner who grasps new concepts and techniques quickly
                                            • -
                                            • Must be a good team player
                                            • -
                                            -

                                            Specific Educational Requirements / Accreditations:

                                            -
                                              -
                                            • Graduate degree in Statistics, Actuarial Sciences, Econometrics, Computer Science or other related fields.
                                            • -
                                            • Previous experience with TD retail products or modelling would be a great asset.
                                            • +
                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                            • +
                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                            -

                                            -

                                            Hours

                                            -
                                            37.5
                                            +

                                            Expected End Date

                                            +

                                            2022-04-22

                                            -

                                            Inclusiveness

                                            -

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            +

                                            Job Location

                                            +

                                            Toronto 25 King Street West

                                            +

                                            Employment Type

                                            +

                                            Temporary (Fixed Term)

                                            +

                                            +

                                            Weekly Hours

                                            +

                                            37.5

                                            +

                                            Skills

                                            +

                                            Analytics Software, Communication, Creativity, Data Analysis, Data Modeling, Data Science, IT Development, Problem Solving

                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/campus/job/Toronto-ON/Data-Scientist-Co-op_2122841,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-10-03T17:39:26.375Z,False,0,23,111,https://talenthub.vectorinstitute.ai/jobs/81023679-data-scientist-co-op-at-cibc,,expired,2021-09-03T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +855e6a2a-5b41-496c-a4b2-ce3a01635e52,81584670,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-09-05T00:34:13.015Z,"
                                            +
                                            About Us
                                            +
                                            Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                            +

                                            +
                                            Ideal Candidate
                                            +
                                            Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.

                                            -
                                            ",,https://jobs.td.com/en-CA/jobs/13723132/manager-advanced-analytics-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-21T19:10:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/87394478-manager-advanced-analytics-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13723132/manager-advanced-analytics-quants-toronto-ca/,expired,2021-10-08T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -ec46efeb-f68a-4bcb-b625-1f2803bca56c,87400714,Manulife,Data Science Engineer,on_site,"Toronto, ON, Canada",2021-10-08T21:38:21.726Z,"
                                            -
                                            -
                                            -

                                            Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                            -

                                            -

                                            Job Description

                                            -

                                            -

                                            This data science engineer has accountability as a data domain subject matter expert, building automated capabilities and data products to accelerate advanced analytics. The data science engineer is responsible for designing and building business interpretable and performant analytics solutions. The data science engineer builds re-usable and modular, self-service capabilities to continuously increase the capacity of the advanced analytics team. The data science engineer leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics and technology topics. The data science engineer helps others to improve their knowledge and understanding of the use of data and technology.

                                            -

                                            -

                                            Responsibilities:

                                            -
                                              -
                                            • Provide data subject matter expertise
                                            • -
                                            • Responsible for understanding the systems & data environment.
                                            • -
                                            • Research, explore, and tinker with new data design ideas and related technologies.
                                            • -
                                            • Collaborate with internal/external data experts.
                                            • -
                                            • Research & leverage technical documentation to gain a holistic understanding of the data domain.
                                            • -
                                            • Support Analytics projects
                                            • -
                                            • Work with data scientists to transform business requests into value-add data products and capabilities.
                                            • -
                                            • Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.
                                            • -
                                            • Assist in the development the conceptual/logical data models or semantic layers with appropriate business contexts.
                                            • -
                                            • Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.
                                            • -
                                            • Tactical support of data access, understanding, engineering, visualization, and decision making.
                                            • -
                                            • Elevate data and analytics skills in the business
                                            • -
                                            • Help people in the business better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc.
                                            • -
                                            • Identifying and guiding natural data champions in the business to enhance the profitable use of data.
                                            • -
                                            • Learn salient business concepts from data champions and enable them to creatively use data technologies.
                                            • -
                                            -

                                            -

                                            Qualifications:

                                            -
                                              -
                                            • University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering).
                                            • -
                                            • Advanced experience with databases.
                                            • -
                                            • Advanced Experience in Python, SQL, Spark, C#, etc.
                                            • -
                                            • Advanced Experience in automating data pipelines and working with data transformation tools.
                                            • -
                                            • Advanced experience working with internal business contacts to develop analytical reports.
                                            • -
                                            • Experience providing data analysis to support management decisions.
                                            • -
                                            • General knowledge of data analytics theory & application.
                                            • -
                                            • Experience with analytics tools and visualization tools a plus.
                                            • -
                                            • Experience with cloud technologies and Data as a Service (DaaS) a plus.
                                            • -
                                            -

                                            -

                                            -

                                            -

                                            Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                            -

                                            -

                                            About John Hancock and Manulife

                                            -

                                            -

                                            John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                            -

                                            -

                                            One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                            -

                                            -

                                            Manulife is an Equal Opportunity Employer

                                            -

                                            -

                                            At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                            -

                                            -

                                            It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                            -
                                            -
                                            ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Science-Engineer_JobReq0431535-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-10-25T20:48:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/87400714-data-science-engineer-at-manulife,,expired,2021-10-08T21:38:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -aaccc5f6-c73c-4b07-a4ec-287221777cd4,87464330,Deloitte,"MDM Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-10-09T02:40:38.915Z,"

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto; Calgary; Montreal

                                            -

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Partner with clients to solve their most complex problems
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            -
                                            -
                                            -

                                            -

                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                            -
                                            -

                                            What will your typical day look like?

                                            +
                                            +

                                            What You’ll Be Doing:

                                            +
                                                +
                                              • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                              • +
                                              • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                              • +
                                              • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                              • +
                                              • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                              • +
                                            +
                                            +
                                            +

                                            What You Bring:

                                            +
                                                +
                                              • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                              • +
                                              • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                              • +
                                              • Experience in building, testing, training, and deploying production-ready ML workflows.
                                              • +
                                              • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                              • +
                                              • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                              • +
                                              • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                              • +
                                            +
                                            +
                                            +

                                            What we offer:

                                            +
                                                +
                                              • Leading role in developing the future of drug development to cure genetically defined diseases.
                                              • +
                                              • A highly competitive salary and meaningful equity compensation.
                                              • +
                                              • Exceptional opportunities for learning and growth.
                                              • +
                                              • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                              • +
                                            +
                                            +
                                            -

                                            As an MDM Manager on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in data management solutions including big data, data integration, data conversion, master data/reference data management, data governance, data quality and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                            +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                            +

                                            +
                                            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                            +
                                            ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-10-06T17:49:00.000Z,False,0,10,78,https://talenthub.vectorinstitute.ai/jobs/81584670-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-09-05T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +2014ee77-6a6b-4cb8-92ef-26b41271ebc3,81589175,Deloitte,"Cloud Data Architect, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-09-05T02:12:28.321Z,"
                                            +

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto; Calgary; Montreal; Vancouver

                                            -

                                            In this role, you will actively participate, define and implement multi-domain (i.e. customer, supplier, equipment, product, parts, materials, locations, etc) Master Data Management solutions as well as data conversion approaches to enable ERP and Asset Management modernization. You will also define and implement master data frameworks, spanning metadata management, data quality management, reference data management, data management policies and operating models as well as actively participate in the development of data integration solutions, including data source mapping, data integration, conversion and data modeling.

                                            -
                                            -
                                            -
                                            -

                                            About the team

                                            -
                                            -

                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            -

                                            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            -
                                            -
                                            -
                                            -

                                            Enough about us, let’s talk about you

                                            -
                                            -

                                            You are someone with:

                                            -
                                            • 7+ years’ experience in implementing multi-domain Master Data Management and Data Governance solutions, either as stand-alone programs or integrated into larger transformational ERP programs using Informatica MDM, SAP MDG, IBM MDM, Stibo and/or similar technologies.
                                            • 5+ years’ experience with analysis, design, development, testing and deployment of data integration capabilities using leading integration platforms like Informatica, Mulesoft, IBM Data Stage, SAP Data Services and/or other comparable data integration technologies
                                            • 2+ years’ experience with data mapping, data conversion and data profiling
                                            • Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
                                            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related fields.
                                            • Certifications in Azure (Data Factory, Data Bricks), AWS (Glue, RedShift), Informatica and/or GCP (BigQuery) and Cloud data integration technologies is highly desirable
                                            • -
                                            -
                                            -
                                            +

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Partner with clients to solve their most complex problems
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            -

                                            Why Deloitte?

                                            -

                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                            -
                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                            • -
                                            -


                                            The next step is yours

                                            -

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            -

                                            -

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-MDM-Manager%2C-Omnia-AI-ON-M5C-3G7/734632800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-11-11T16:28:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/87464330-mdm-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-MDM-Manager%2C-Omnia-AI-ON-M5C-3G7/734632800/,expired,2021-10-09T02:40:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -bc53d184-7d8f-4835-b467-3213433e7d3e,87464350,Deloitte,"Software Engineer (Collibra), Omnia AI",on_site,"Toronto, Ontario, Canada",2021-10-09T02:40:42.236Z,"

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto; Calgary; Montreal

                                            -

                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                            Be encouraged to deepen your technical skills…whatever those may be.
                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                            -

                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +

                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                            What will your typical day look like?

                                            -

                                            As a Software Engineer (Collibra), Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            +
                                            +

                                            As a Cloud Data Architect on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                            +

                                            Specifically, in this role, you will:

                                            +
                                            • Lead, define, design and implement end-to-end modern data platforms in support of analytics and AI use cases
                                            • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
                                            • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
                                            • Define and develop solution architectures, lead development teams, estimate effort and mentor junior colleagues
                                            • Lead technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                            • +
                                            +
                                            @@ -9931,9 +10465,8 @@ bc53d184-7d8f-4835-b467-3213433e7d3e,87464350,Deloitte,"Software Engineer (Colli

                                            -

                                            As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                            -
                                            • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                            • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, No-SQL solutions etc.
                                            • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                            • Deploy and integration solutions on the cloud and on-premises.
                                            • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                            • -
                                            +

                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                            +

                                            Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                            @@ -9942,12 +10475,11 @@ bc53d184-7d8f-4835-b467-3213433e7d3e,87464350,Deloitte,"Software Engineer (Colli

                                            -

                                            You are someone with:

                                            -
                                            • Strong development skills in Java. Groovy experience is a plus.
                                            • Solid understanding of databases, application architectures, open source frameworks etc.
                                            • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                            • Exposure to Agile development methods in data-oriented projects
                                            • Knowledge of Linux, shell scripting etc.
                                            • -
                                            -

                                            Strong candidates will also have some of the following capabilities:

                                            -
                                            • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                            • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                            • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                            • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                            • +

                                              You are someone with:

                                              +
                                              • 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (AWS, Azure, GCP) and hybrid architectures to enable use cases in analytics and AI
                                              • 5+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
                                              • 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
                                              • Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
                                              • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired; certifications in architecture (TOGAF), data engineering and development on AWS, Azure, GCP and/or Hadoop distributions are an asset.
                                              +

                                              If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                              +

                                              The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                            @@ -9960,629 +10492,568 @@ bc53d184-7d8f-4835-b467-3213433e7d3e,87464350,Deloitte,"Software Engineer (Colli


                                            The next step is yours

                                            Sound like The One Firm. For You?

                                            -

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            -

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            -

                                            -

                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                            ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-11-11T21:23:48.575Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/87464350-software-engineer-collibra-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-10-09T02:40:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -498ae64c-d326-4272-971a-481d6ae715f5,87480500,Clearpath,Autonomy Engineer - Perception,on_site,"Kitchener, Ontario",2021-10-09T04:40:53.307Z,"

                                            Description

                                            -

                                            Position: Autonomy Engineer - Perception
                                            Location: Kitchener, Ontario
                                            Experience: 1-5 Years of Relevant Work Experience
                                            Education: Graduate Degree in Related Field
                                            Division: OTTO Motors

                                            -

                                            About Us

                                            -

                                            Clearpath provides self-driving vehicle technology and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO Motors.

                                            -

                                            We employ a diverse and highly talented team who live and breathe robotics. We believe that work must have a high “cool” factor and every day should bring new knowledge. We need more passionate people on our team who are willing and able to push the boundaries of robotics into focused and practical applications.

                                            -

                                            Clearpath is automating the world and we need your help. Got what it takes?

                                            -

                                            About the Job

                                            -

                                            Our industrial solutions team is in high demand finding new ways to automate away our clients' problems, and we have more point clouds to process, networks to learn, and states to estimate than ever. We need more people on our team to bring the state of the art to practical applications. Clearpath, our partner companies, and our clients are making tremendous advances in robotics, and we want you to be a part of it!

                                            -

                                            You will stay on top of recent developments in SLAM, computer vision, perception algorithms, and sensing technology. You should be familiar with common open-source middleware and libraries like ROS, OpenCV, Gazebo, and PCL, because Clearpath's development team relies on these on a daily basis. You may be responsible for contributing back to these libraries. You'll work to evaluate and implement the state of the art in perception algorithms in a wide variety of practical applications for clients who we're not permitted to name in this very public job description. Additionally, you'll spend time improving our research products by building new demos and attending conferences. You'll likely spend warm summer days driving robots around outside (cold winters too; this is Canada after all).

                                            -

                                            Your primary responsibilities will be:

                                            -
                                              -
                                            • Create robust innovative solutions to the problems of robotic perception
                                            • -
                                            • Development of custom SLAM, computer vision, machine learning, target tracking, and perception algorithms
                                            • -
                                            • Evaluation of new algorithms and sensing technology
                                            • -
                                            • Assisting with concept development for new products and projects
                                            • -
                                            • Design and architect new perception systems and algorithms
                                            • -
                                            -

                                            Additional tasks may include:

                                            -
                                              -
                                            • Collaboration with other teams including controls and navigation planning
                                            • -
                                            • Triage and support of live industrial systems in the field
                                            • -
                                            • Mentoring and assisting with the supervision of interns
                                            • -
                                            • Open-source contributions to the ROS/PCL/Gazebo community
                                            • -
                                            • Attending tradeshows and conferences
                                            • -
                                            -

                                            About You

                                            -

                                            You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some form of higher education with the common sense to back it up.

                                            -

                                            Required Skills:

                                            -
                                              -
                                            • Graduate degree in engineering/CS or a related field, with applicable background
                                            • -
                                            • Practical and theoretical knowledge of state estimation, computer vision, perception, and SLAM techniques
                                            • -
                                            • Strong software development skills (C++ and Python)
                                            • -
                                            • Proficiency with Linux
                                            • -
                                            • Excellent teamwork/communication skills
                                            • -
                                            • Ability to independently develop software development plans, including timelines and test procedures
                                            • -
                                            • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                            • -
                                            -

                                            Bonus points for:

                                            -
                                              -
                                            • ROS, TensorFlow, Gazebo, and PCL experience
                                            • -
                                            • Familiarity with graph optimization techniques and libraries
                                            • -
                                            • Experience writing efficient, high-performance code
                                            • -
                                            • Hands-on experience with autonomous systems
                                            • -
                                            • Ability to diagnose broken robots by their sounds and smells
                                            • -
                                            • Experience with git/other DVCS systems and other software development processes
                                            • -
                                            • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                            • -
                                            -


                                            At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                            ",,http://jobs.jobvite.com/clearpath/job/oM2TgfwH,feed-importer@jobboard.io,,,,2021-10-29T04:51:07.819Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/87480500-autonomy-engineer-perception-at-clearpath,http://jobs.jobvite.com/clearpath/job/oM2TgfwH,expired,2021-10-09T04:40:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -050fbc71-2d6e-4305-ad62-c981482846b1,87480726,Deep Genomics,Machine Learning Engineer (All levels),temporary,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-10-09T04:41:17.248Z,"
                                            -
                                            About Us
                                            -
                                            Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                            +

                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                            +

                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                            ",,https://careers.deloitte.ca/job/Toronto-Cloud-Data-Architect%2C-Omnia-AI-ON-M5C-3G7/772104900/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-09-17T02:41:26.060Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/81589175-cloud-data-architect-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Cloud-Data-Architect%2C-Omnia-AI-ON-M5C-3G7/772104900/,expired,2021-09-05T02:12:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +27b5aaf3-04e0-4ba7-a996-7cb80f1eec28,81866386,Delphia,Consumer Engineering Lead,full,Remote /,2021-09-07T00:34:02.711Z,"
                                            +
                                            About Delphia

                                            -
                                            Ideal Candidate
                                            -
                                            Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                            +
                                            Delphia is the world’s first investment strategy anyone can improve with their data. We select stocks to a portfolio by analysing trends in both the data of our members and the market itself. This helps us predict which companies will win or lose and helping you earn the returns you deserve.
                                            +

                                            +
                                            We are building a new kind of company that re-thinks the value of privacy, data rights, and fiduciary responsibility in order to ensure your data is always working for you – like your money.
                                            +

                                            +
                                            +Whether we're identifying trends or educating people on how their data can be used to make better investment decisions, people at Delphia are socially-minded creatives at heart. Our teams are continually iterating, solving hard problems, and collaborating to generate new forms of value and economic returns for our users (we call them “members”, in fact). Working together, we want people to realise the true value of their data – and we're just getting started. +
                                            +

                                            +
                                            +Delphia is a growing (37 people), multi-disciplinary team located in the heart of downtown Toronto and around major North American cities. We began in January 2018 and are graduates of Y Combinator and the Creative Destruction Lab. We’ve raised two rounds of funding and approximately $20 million to date. +
                                            +

                                            +

                                            +
                                            It's a perfect time to join Delphia as a Consumer Engineering Lead. Delphia is using AI to invest. Our Flagship investment strategy launched in August 2021 on iOS and Android. We've got an exceptional team of researchers, designers, and engineers.
                                            +

                                            +
                                            We're looking for a leader to own delivery of our retail consumer product. We deliver our product via native mobile and web apps. We also build APIs, data systems, and internal tools on top of modern cloud infrastructure.
                                            +

                                            +
                                            One of our co-founders currently manages delivery with a ~15 person team of engineers. We're looking for someone to partner with him to take our delivery capabilities to the next level.
                                            -

                                            What You’ll Be Doing:

                                            +


                                            +

                                            The ideal candidate measures their performance by asking critical questions such as:

                                                -
                                              • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                              • -
                                              • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                              • -
                                              • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                              • -
                                              • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                              • +
                                              • How's the quality of the software been? Is it improving or not?
                                              • +
                                              • How have we been doing with their milestones?
                                              • +
                                              • How's the team morale?
                                            -

                                            What You Bring:

                                            +

                                            We want you to:

                                                -
                                              • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                              • -
                                              • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                              • -
                                              • Experience in building, testing, training, and deploying production-ready ML workflows.
                                              • -
                                              • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                              • -
                                              • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                              • -
                                              • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                              • +
                                              • Use technology to solve our business problems
                                              • +
                                              • Improve our product delivery capabilities & capacity
                                              • +
                                              • Ensure no engineering team member is low performing
                                              • +
                                              • Keep 95% of your high-quality engineering team
                                            -

                                            What we offer:

                                            +

                                            We'd love to hear from you if you have:

                                                -
                                              • Leading role in developing the future of drug development to cure genetically defined diseases.
                                              • -
                                              • A highly competitive salary and meaningful equity compensation.
                                              • -
                                              • Exceptional opportunities for learning and growth.
                                              • -
                                              • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                              • +
                                              • Experience working in product companies with profit and loss exposure
                                              • +
                                              • Experience developing technical strategy
                                              • +
                                              • The ability to inspire and develop other technical leads and individual contributors
                                              • +
                                              • The ability to work with recruiters to hire talent
                                              • +
                                              • The ability to manage and scale product delivery
                                              • +
                                              • The ability to manage tech debt using a systematic approach
                                              • +
                                              • The ability to design and review system architecture
                                              • +
                                              • The ability to conduct code reviews in various languages
                                              • +
                                              • A keen understanding of consumer product metrics
                                              • +
                                            +
                                            +
                                            +

                                            Bonus points:

                                            +
                                                +
                                              • The ability to build your team using passive recruiting methods
                                              • +
                                              • Experience engaging as a technical leader in product discovery activities
                                              • +
                                              • Experience building new engineering teams from scratch
                                              • +
                                              • Experience in a B2C FinTech
                                              • +
                                              • Comfort in languages and frameworks such as Python, Django, React and SQL
                                            +
                                            As a member of the Delphia team, you will enjoy a variety of perks and benefits such as:
                                            +

                                            -Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                            +Health Benefits:
                                            +
                                            - Comprehensive Health and Dental Benefits, plus a Health Spending Account

                                            -
                                            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                            -
                                            ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-11-12T16:10:06.070Z,False,0,12,68,https://talenthub.vectorinstitute.ai/jobs/87480726-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-10-09T04:41:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, -720a8b2b-b654-4764-8512-a5f177f43f39,87480906,Scotiabank,VELOCITY - Data Engineer - Summer 2022,on_site,Canada : Ontario : Toronto,2021-10-09T04:41:37.321Z,"

                                            +
                                            +Flexibility:
                                            +
                                            - Flexible work hours with the ability to work from home when need be
                                            +
                                            - Work From Anywhere Policy
                                            +
                                            - Flexible Time-Off Policy
                                            +

                                            +
                                            Investment Opportunities:
                                            +
                                            - Employee Stock Options
                                            +
                                            - Access to our Hedge Fund
                                            +

                                            +
                                            +Learning & Development:
                                            +
                                            - Tuition Reimbursement
                                            +

                                            +
                                            We are an equal opportunity employer and value diversity at our company. We do not discriminate by race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Delphia is committed to working with applicants requesting accommodation at any stage of the hiring process.
                                            +

                                            +
                                            ",,https://jobs.lever.co/delphia/36a05690-f72e-4a1c-9c8b-9ab19cadba2f,feed-importer@jobboard.io,,,,2021-09-17T04:44:22.357Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/81866386-consumer-engineering-lead-at-delphia,https://jobs.lever.co/delphia/36a05690-f72e-4a1c-9c8b-9ab19cadba2f,expired,2021-09-07T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, +5b77adef-09d5-443f-9c59-8db5c3b55ffa,81866447,RBC,"Research Scientist (AI), Enterprise Model Risk Mgmt - 8 Months (Winter 2022 Student)",on_site,"Toronto, Ontario, Canada",2021-09-07T00:36:05.910Z,"
                                            +

                                            What is the opportunity?

                                            +

                                            Please Note: this is an 8 month student opportunity.

                                            +

                                            +

                                            RBC is a global leader in applying Artificial Intelligence (AI) in various aspects of banking in order to creat value for our clients; from advice center chatbots and intlligent mobile app features in personal banking to AI- powered algorithmic trading agents in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to unwarranted potential financial, regulatory, and reputational risks.

                                            +

                                            +

                                            The Enterprise Model Risk Management (EMRM)- AI model validation team within the RBC Group Risk Management is mandated with quantification and management of the potential model risk arising from deploying AI powered techologies across the bank.

                                            +

                                            +

                                            The Research Scientist (AI Model Validation) Student will be working closely with the senior AI-scientists and risk managers to further develop the bank’s model risk framework for testing and monitoring of Machine Learning models. The role will provide a unique opportunity to get exposure to cutting edge techniques employed by a leading financial institution in validation and testing of AI models.

                                            +

                                            +

                                            What will you do?

                                            +
                                              +
                                            • Research and implement novel machine learning & statistical models/approaches across multiple industries working with cross-functional business teams
                                            • +
                                            • Establish scalable, efficient, automated processes for large scale data analysis, model development and validation
                                            • +
                                            +

                                            +

                                            What do you need to succeed?

                                            +

                                            Must Have:

                                            +
                                              +
                                            • Progress towards a PhD or M.Sc. degree in Statistics, Applied Mathematics, Econometrics, Computer Science, Electrical Engineering, Physics, Quantitative Finance,
                                            • +
                                            • Proficient programming skills in Python/R and SQL
                                            • +
                                            • Familiarity with popular ML frameworks and libraries (Scikit Learn SciPy, Pytorch, Keras, Tensorflow)
                                            • +
                                            • Comfortable with command line tools in a Linux or Windows environment e.g. Linux (bash, Powershell, ssh, etc)
                                            • +
                                            +

                                            +

                                            What’s in it for you?

                                            +

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +
                                              +
                                            • Leaders who support your development through coaching and managing opportunities
                                            • +
                                            • Ability to make a difference and lasting impact
                                            • +
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            • +
                                            • Opportunities to do challenging work and make a difference
                                            • +
                                            • Opportunities to building close relationships
                                            • +

                                            +

                                            We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 10, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                            -

                                            Requisition ID: 120521

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            +

                                            While there is no one date when our employees will return, we can confirm that the majority of the Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                            - -

                                            VELOCITY – Data Engineer – Summer 2022

                                            -

                                            WORK TERM: 4 Months - Summer 2022 (May- August)

                                            -

                                            -

                                            What Can I Expect from the Velocity Program?

                                            -


                                            This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                            -

                                            -

                                            You will…

                                            -
                                            • Perform data exploration on different data sources and model training
                                            • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics Technology, among others)
                                            • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
                                            • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
                                            • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
                                            • Monitor data pipelines, liaise with vendors and source systems groups in the event of failures/maintenance
                                            • Migrate data pipelines and models to new analytics platforms
                                            • Experiment & learn!
                                            • -
                                            -

                                            -

                                            You Are?

                                            -

                                            You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                            -

                                            Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                            -

                                            -

                                            You have basic knowledge in…

                                            -
                                            • Business, Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                            • -Some of the following technologies:
                                              • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
                                              • Cloud platforms – GCP, Azure or AWS
                                              • MinIO Data Storage, Airflow, Trino
                                              • DB2, SQL Server
                                              • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
                                              • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
                                            • -
                                            -

                                            -

                                            -

                                            How to apply?

                                            -

                                            For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                            -

                                            -

                                            1) Complete your PLUM Profile here

                                            -

                                            2) Take a screenshot of your completed PLUM profile.

                                            -

                                            3) Complete a very short one-way video interview by clicking here

                                            -

                                            4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                            -

                                            -

                                            We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require

                                            -

                                            Location(s): Canada : Ontario : Toronto

                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Engineer-Summer-2022-ON/550313917/,feed-importer@jobboard.io,,,,2021-10-21T19:10:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/87480906-velocity-data-engineer-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Engineer-Summer-2022-ON/550313917/,expired,2021-10-09T04:41:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -6cebd8ec-e0c2-4d27-bc9d-63eb1562815e,87481267,integrate.ai,Machine Learning Scientist - Research,on_site,Toronto,2021-10-09T04:42:22.717Z,"

                                            At integrate.ai, our mission is to power a new intelligence ecosystem that is built on trust and mutual benefit for people and organizations. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make client interactions more natural, meaningful, and valuable. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                            -

                                            We are looking for a Machine Learning Scientist (Research) to join our research team. This role delves into the art of the possible, and is neatly placed at the cross-section of cutting edge science and latest industry trends. It also represents a unique opportunity for someone who wants to work with a team of smart and passionate individuals committed to bringing new AI/ML products to the business enterprise world.

                                            -

                                            What you will be doing:

                                            +

                                            HO2020

                                            +

                                            OAA2020

                                            +

                                            TAD2020

                                            +
                                            +

                                            +

                                            +

                                            +

                                            About RBC
                                            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                            +

                                            +

                                            Join our Talent Community

                                            +

                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                            +

                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                            +

                                            +

                                            Inclusion and Equal Opportunity Employment
                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            +
                                            ",,https://jobs.rbc.com/ca/en/job/403320/Research-Scientist-AI-Enterprise-Model-Risk-Mgmt-8-Months-Winter-2022-Student,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-09-10T00:41:26.951Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/81866447-research-scientist-ai-enterprise-model-risk-mgmt-8-months-winter-2022-student-at-rbc,https://jobs.rbc.com/ca/en/job/403320/Research-Scientist-AI-Enterprise-Model-Risk-Mgmt-8-Months-Winter-2022-Student,expired,2021-09-07T00:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +3fa037d0-8eb9-4b56-af77-4bc403a29d03,83384894,RBC,"Manager, AML Risk Analytics",on_site,"Toronto, Ontario, Canada",2021-09-14T00:36:12.385Z,"
                                            +

                                            +

                                            WHAT IS THE OPPORTUNITY?

                                            +

                                            In support of the Global Anti Money Laundering (AML) Risk Analytics team, the manager will support and sometimes provide risk assessments to mitigate the AML risk in portfolios of clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program (transaction monitoring, Financial Investigation Unit, Advisory, high-risk client, Sanctions). The manager will make use of his expertise in data analysis to identify areas of potential automation and streamline the review of large datasets from the collection of data to the delivery of the insights.

                                            +

                                            +

                                            WHAT WILL YOU DO?

                                              -
                                            • Assist in shaping the research agenda by keeping abreast of latest technical developments (areas of interest include: federated learning, domain adaptation, transfer learning, reinforcement learning, causal inference, fair ML, privacy-preserving techniques.) and understanding how these can potentially impact the industries that we work in.
                                            • -
                                            • Researching and developing intelligent systems (e.g., machine learning models, reinforcement learning systems) to power the platform’s scientific capabilities.
                                            • -
                                            • Conduct experiments that focus on reproducibility and reliability to test out complex ideas.
                                            • -
                                            • Present and share research findings in a clear manner through integrate.ai’s internal technical reports (and when appropriate, share these findings through external outlets such as paper publications and conference presentations).
                                            • +
                                            • Data analysis and Data storytelling: exploring data to answer a variety of questions (Risk assessment, Investigation, project development)
                                            • +
                                            • Data pulled from a variety of source systems and transformation: SQL, Python or SAS, Excel
                                            • +
                                            • Communication of findings
                                            • +
                                            • Identify opportunities for efficiency through automation
                                            • +
                                            • Documentation for tasks at hand and provide a proper audit trail
                                            • +
                                            • Continually develop knowledge/expertise around advanced analytics techniques (Visualization, Machine learning, NLP, geospatial, graph network…), Data sources, and Financial Crimes typologies
                                            -

                                            You have:

                                            +


                                            WHAT DO YOU NEED TO SUCCEED?

                                            +

                                            Must have

                                              -
                                            • A Masters or PhD in Machine Learning, Applied Statistics, Computer Science, or a related quantitative discipline.
                                            • -
                                            • 5+ years of hands-on machine learning experience.
                                            • -
                                            • Expertise in at least one of the following areas: federated learning, transfer learning, domain adaptation, reinforcement learning, generative modelling, fair ML, causal inference, privacy-preserving techniques.
                                            • -
                                            • High quality research publications and/or open-source projects
                                            • -
                                            • Great proficiency in machine learning tools such as TensorFlow, PyTorch, Scikit Learn, Theano, Spark MLlib.
                                            • +
                                            • 1-2 years of experience with data analysis (from data pulling, cleansing, exploration, findings communication)
                                            • +
                                            • 1-2 years of experience with SQL and Python/SAS
                                            • +
                                            • Demonstrated ability in written and oral communication skills along with strong presentation skills. Ability to determine the information and communication needs of the stakeholders and project.
                                            • +
                                            • Strong organizational, and time management capabilities.
                                            -

                                            The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                            -

                                            We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                            ",,https://boards.greenhouse.io/integrateai/jobs/4224910002,feed-importer@jobboard.io,,,,2021-11-12T16:22:38.999Z,False,0,4,58,https://talenthub.vectorinstitute.ai/jobs/87481267-machine-learning-scientist-research-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/4224910002,expired,2021-10-09T04:42:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Masters Degree,New Posting, -13403c65-3c2f-4fa0-9285-acfa4d6cfca7,87481270,integrate.ai,Machine Learning Scientist - Applied,on_site,Toronto,2021-10-09T04:42:22.882Z,"

                                            At integrate.ai, our mission is to power a new intelligence ecosystem that is built on trust and mutual benefit for people and organizations. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make client interactions more natural, meaningful, and valuable. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                            -

                                            We are looking for a Machine Learning Scientist (Applied) who is excited to play an integral part of a client facing team, who excels at uncovering concise business insights, and who can both deliver and communicate these insights effectively to external stakeholders. Responsibilities for this role range from data ingestion to collaborating with both internal and external stakeholders to build the platform in a way that best suits our client’s needs. This is a fascinating role that requires both strong interpersonal skills and deep technical knowledge.

                                            -

                                            What you will be doing:

                                            +

                                            Nice-to-have

                                              -
                                            • Using your data science superpowers to advise clients on everything from use case development to solution design to performance measurement
                                            • -
                                            • Collaborating with other Machine Learning Scientists on the team to problem-solve and develop best practices
                                            • -
                                            • Principally delivering data ingest for our client data, including cataloguing the data and mapping it to our proprietary data schema
                                            • -
                                            • Collaborating with our business team to create polished data visualizations and pull high level business insights from client data
                                            • -
                                            • Working closely with our machine learning research team in the early stages of statistical/machine learning model development to identify valuable patterns and information in the data
                                            • -
                                            • Collaborating with our engineers to translate complex business logic into our proprietary data schema
                                            • -
                                            • Supporting engineers to do carry out reliable and efficient integrations
                                            • -
                                            • Sending feedback to our engineering, product, and machine learning research teams to develop requirements for our product roadmap - specifically our ingest, structuring, and integration capabilities
                                            • +
                                            • Data science exposure (Machine learning (supervised/unsupervised), NLP, …)
                                            • +
                                            • Previous experience in Financial crimes investigations/ CAMS certification
                                            • +
                                            • Data journalism
                                            • +
                                            • Technology: Hadoop, spark, Scala
                                            -

                                            You have:

                                            +


                                            What’s in it for you?

                                            +

                                            We thrive on the challenge to be our best, progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                              -
                                            • 5+ years in a lead Machine Learning (or Data) Science role, including experience providing strategic guidance to clients and fellow Machine Learning (or Data) Scientists
                                            • -
                                            • An appreciation for the beauty of data. You love a challenge, and you’re excited about bringing a narrative to complex business problems using what you learn from a dataset
                                            • -
                                            • Worked directly with clients and understand the importance of prioritizing client needs
                                            • -
                                            • A bachelor’s degree in computer science or a related discipline
                                            • -
                                            • Strong technical abilities, creative problem solving skills and high adaptability
                                            • -
                                            • Extraordinary interpersonal, organization and communications skills
                                            • -
                                            • Experience working directly with business users to build reports and answer business questions with data
                                            • -
                                            • Experience working with big data structures and ETL tools and other big data technologies (Hadoop/Spark, Hive SQL, etc.) to uncover meaningful business insights
                                            • -
                                            • A strong understanding of statistical modeling and you’re passionate about deriving insights from large datasets
                                            • -
                                            • Programming experience with Python, R, or SAS
                                            • -
                                            • Adaptability and interest in working with a dynamic, early stage company
                                            • +
                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                            • +
                                            • Leaders who support your development through coaching and managing opportunities
                                            • +
                                            • Ability to make a difference and lasting impact
                                            • +
                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                            • +
                                            • A world-class training program in financial services
                                            • +
                                            • Flexible work/life balance options
                                            • +
                                            • Opportunities to do challenging work
                                            -

                                            The diverse experiences, ideas, and identities of integrate.ai’s team members helps us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We're committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                            -

                                            We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                            ",,https://boards.greenhouse.io/integrateai/jobs/4220487002,feed-importer@jobboard.io,,,,2021-11-12T16:23:21.055Z,False,0,3,77,https://talenthub.vectorinstitute.ai/jobs/87481270-machine-learning-scientist-applied-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/4220487002,expired,2021-10-09T04:42:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, -72cf1f29-a656-409c-ab6d-b07743469a7e,87506398,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-10-09T07:06:33.705Z,"
                                            -
                                            -
                                            -

                                            Why join us?

                                            -

                                            -

                                            Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                            At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                            -

                                            -

                                            -

                                            -

                                            As a key member of the Enterprise Data & Advanced Analytics team, the Data Engineer is passionate, down to earth, takes great pride in delivering next generation full stack solutions that meet and exceed our strategic business goals. Driving innovation in the development of advanced capabilities, you are leading with a product management & system-thinking approach.

                                            The candidate will develop end-to-end data pipelines, with a focus on system integration and cloud to support OMERS decision makers and collaborate with a community of designers, product managers, data engineers and architects in ideation, design, development, testing, technical support, research and knowledge-sharing through the implementation lifecycle.

                                            -

                                            -

                                            -

                                            As a member of this team, you will be responsible for:

                                            -
                                              -
                                            • Designing, deploying and sustaining scaled data pipelines to achieve a high level of reliability, scalability and security in supporting business objectives.

                                            • -
                                            • Sourcing, transforming and delivering structured and unstructured assets for use in Azure Databricks, Synapse Analytics, Power BI, and more.

                                            • -
                                            • Operating in an Agile development environment.

                                            • -
                                            • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management.

                                            • -
                                            • Participating in solution build, delivery, support and troubleshooting.

                                            • -
                                            • Leading change and communicating impacts to business partners and fellow team members.

                                            • -
                                            • Exhibiting the ability to work on multiple projects simultaneously and ensuring delivery on time, within scope and within budget.

                                            • -
                                            • Participating in establishing sound data management practices for the team and the organization.

                                            • -
                                            • Identifying, defining and implementing opportunities for improving existing processes.

                                            • -
                                            • Defining and executing technical test plans, perform unit, performance and integration testing and automate regression testing.

                                            • -
                                            -

                                            -

                                            To succeed in this role, you have:

                                            -

                                            -

                                            Professional

                                            -
                                              -
                                            • Experience. 3+ years solving complex technical data projects using the Microsoft Azure data stack or equivalent work experience is required. Financial industry application is preferred.

                                            • -
                                            • Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required.

                                            • -
                                            • Relationship Building. Proven track record of building deep technical relationships. Experience in aligning expectations across various partners.

                                            • -
                                            • Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction. Demonstrated proficiency in understanding and implementing business workflows is a plus.

                                            • -
                                            • Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.

                                            • -
                                            -

                                            -

                                            Technical

                                            -
                                              -
                                            • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required.

                                            • -
                                            • Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources is required: ​Azure Data Factory, Dedicated Synapse SQL (SQL DW), Azure Databricks, Azure Functions using C#, PowerShell or Python, Kubernetes and containerization

                                            • -
                                            • Experience automating CI/CD pipelines using Azure DevOps or equivalent work experience is required.

                                            • -
                                            • Experience with the Microsoft Power Platform is preferred.

                                            • -
                                            • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies.

                                            • -
                                            • Experience with GCP and BigQuery is preferred.

                                            • -
                                            -

                                            -

                                            Education

                                            -
                                              -
                                            • Bachelor’s Degree in an appropriate field of study or equivalent work experience

                                            • -
                                            • Candidates with Microsoft Azure certifications are desired

                                            • -
                                            -

                                            -

                                            -

                                            -

                                            -

                                            Our story:

                                            -

                                            Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                            -

                                            -

                                            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                            -
                                            -
                                            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-1163,feed-importer@jobboard.io,,,,2021-10-21T19:10:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/87506398-data-engineer-at-omers,,expired,2021-10-09T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e06ab82d-01ce-4815-8cea-aa773f79b152,87506479,Shopify Inc.,"Senior Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-10-09T07:07:06.475Z,"

                                            About the role

                                            -

                                            Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                            -

                                            Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                            -

                                            Responsibilities:

                                            -
                                              -
                                            • Proactively identify and champion projects that solve complex problems across multiple domains
                                            • -
                                            • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                            • -
                                            • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
                                            • -
                                            • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
                                            • -
                                            • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                            • -
                                            • Influence leadership to drive more data-informed decisions
                                            • -
                                            • Define and advance best practices within data science and product teams
                                            • -
                                            -

                                            -

                                            Qualifications

                                              -
                                            • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
                                            • -
                                            • Extensive experience with Python and software engineering fundamentals
                                            • -
                                            • Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
                                            • -
                                            • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
                                            • -
                                            • Curiosity about the problem domain and an analytical approach
                                            • -
                                            • Strong sense of ownership and growth mindset
                                            • -
                                            -

                                            Experience with one or more:

                                            -
                                              -
                                            • Deep understanding of advanced SQL techniques
                                            • -
                                            • Expertise with statistical techniques and their applications in business
                                            • -
                                            • Masterful data storytelling and strategic thinking
                                            • -
                                            • Deep understanding of dimensional modelling and scaling ETL pipelines
                                            • -
                                            • Experience launching productionized machine learning models at scale
                                            • -
                                            • Extensive domain experience in e-commerce, marketing or SaaS
                                            • -
                                            -
                                            -
                                            -
                                            -

                                            All your information will be kept confidential according to EEO guidelines.

                                            -

                                            If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                            -

                                            At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                            -

                                            #LI-REMOTE

                                            How we hire

                                            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                            Learn more about our hiring process -
                                            -
                                            -
                                            -
                                            ",,https://www.shopify.ca/careers/senior-data-scientist-remote-canada_36f0f3fb-7421-4620-909e-cb88da269b16,feed-importer@jobboard.io,,,,2021-11-12T16:33:47.689Z,False,0,2,46,https://talenthub.vectorinstitute.ai/jobs/87506479-senior-data-scientist-remote-canada-at-shopify-inc,,expired,2021-10-09T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -ed49ce90-1207-4eec-be57-30a654e31633,87813386,RBC,"Data Analyst, Winter 2022 Student Opportunities (8 Months)",full,"Virtual, Ontario, Canada",2021-10-12T02:39:11.233Z,"
                                            -

                                            We're now accepting applications for our 2nd round recruitment of Data Analyst (8 months) roles.

                                            -

                                            What is the opportunity?
                                            Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                            -
                                              -
                                            • Innovation & Technology
                                            • -
                                            • Global Technology Infrastructure
                                            • -
                                            • Enterprise Operations Payments
                                            • -

                                            -

                                            Please only apply if you are available for 8 months.

                                            +

                                            About RBC
                                            Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                            -

                                            What will you do?

                                            -
                                              -
                                            • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                            • -
                                            • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                            • -
                                            • Confirm that projects adhere to development standards and guidelines
                                            • -
                                            • Apply data warehouse concepts and methodologies to various projects
                                            • -
                                            +

                                            Get Career Alerts
                                            Stay in-the-know about great career opportunities at RBC. Sign up for Career Alerts and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                            +

                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                            -

                                            What do you need to succeed?

                                            -

                                            Must-have

                                            -
                                              -
                                            • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                            • -
                                            • Leadership acumen and a passion to apply it in a dynamic business environment
                                            • -
                                            • Excellent interpersonal and highly developed communication skills (verbal and written)
                                            • -
                                            • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                            • -
                                            • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                            • -
                                            • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                            • -
                                            +

                                            Inclusion and Equal Opportunity Employment
                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                            -

                                            Nice-to-have

                                            +

                                            +

                                            JOB SUMMARY

                                            +

                                            City: Toronto
                                            Address: 20 King St West, 7th Floor
                                            Work Hours/Week: 37.5
                                            Work Environment: Office
                                            Employment Type: Permanent
                                            Career Level: Experienced Hire/Professional
                                            Pay Type: Salary + Variable Bonus
                                            Required Travel (%): 0
                                            Exempt/Non-Exempt: N/A
                                            People Manager: No
                                            Application Deadline: 09/23/2021
                                            Req ID: 409863

                                            +

                                            Posting Notes:

                                            +
                                            ",,https://jobs.rbc.com/ca/en/job/409863/Manager-AML-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-09-28T00:43:06.155Z,True,0,4,26,https://talenthub.vectorinstitute.ai/jobs/83384894-manager-aml-risk-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/409863/Manager-AML-Risk-Analytics,expired,2021-09-14T00:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b3bb6c81-8323-4e86-8498-3404211cf791,83570608,NVIDIA,"Research Scientist Intern, Simulation Technology",full,"Toronto, ON, Canada",2021-09-15T07:32:53.979Z,"

                                            NVIDIA is searching for a world-class intern to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

                                            +

                                            +

                                            Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

                                            +

                                            +

                                            What you’ll be doing:

                                              -
                                            • Prior experience in data integration of disparate data sources
                                            • -
                                            • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                            • -
                                            • Relational database concepts and design experience
                                            • -
                                            • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                            • +
                                            • Gain hands on experience with designing and implementing various machine learning techniques
                                            • +
                                            • Partner and collaborate with other forward-thinking team members and external researchers
                                            • +
                                            • Have the opportunity to participate and speak at conferences and events
                                            • +
                                            • Publish original research
                                            • +
                                            • Work with intelligent machines powered by AI computers that can learn, reason and interact with people in multiple industries
                                            -

                                            -

                                            What’s in it for you?

                                            -

                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                            +

                                            +

                                            What we need to see:

                                              -
                                            • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                            • -
                                            • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                            • -
                                            • Leaders who support your development through coaching and learning opportunities
                                            • -
                                            • Work in a dynamic, collaborative, progressive and highly performing team
                                            • -
                                            • Ability to make a difference and lasting impact
                                            • -
                                            • Enjoy a comfortable work environment with the option to dress casually
                                            • +
                                            • Currently pursuing a B.Sc, Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
                                            • +
                                            • Good communications skills.
                                            • +
                                            • Please include your internship availability in your application
                                            -

                                            -

                                            We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 24, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                            -

                                            -

                                            While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                            -

                                            -

                                            -

                                            JOB SUMMARY
                                            City: Virtual
                                            Address: Virtual
                                            Work Hours/Week: 37.5
                                            Work Environment: Office
                                            Career Level: Student Job
                                            Position Level: PL11
                                            Application Deadline: 09/26/2021
                                            Req ID: 420348

                                            -

                                            -

                                            -

                                            -
                                            ",,https://jobs.rbc.com/ca/en/job/420348/Data-Analyst-Winter-2022-Student-Opportunities-8-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/87813386-data-analyst-winter-2022-student-opportunities-8-months-at-rbc,https://jobs.rbc.com/ca/en/job/420348/Data-Analyst-Winter-2022-Student-Opportunities-8-Months,expired,2021-10-12T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,,Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -66405675-c254-407b-9b6c-a3b30141f7ec,88249636,"Deeplite, Inc.",AI Research Scientist,temporary,"Toronto, ON, Canada",2021-10-13T14:20:53.736Z,"

                                            Based in Montreal and Toronto, Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones and vehicles.  Deeplite was named to the 2020 CB Insights AI100 list of top 100 privately held AI companies and has been featured by Gartner, Forbes, and ARM AI as a premier Edge AI innovator. 

                                            -

                                            At Deeplite, we are tackling inference optimization of deep neural networks, making them faster and energy-efficient from cloud to edge computing. Our solution leverages state-of-the-art technology from elite universities to make deep neural networks applicable for any device, and our team works hard on the iterative evolution of the science behind deep neural networks to directly improve daily life.

                                            -

                                            It's a great time to join Deeplite! The talent on our team is second to none and you will have a very rewarding experience working with our team to bring novel innovation to the AI market. Integrity, fun and a passion for bringing AI to everyday life is what we all have in common!

                                            -

                                            Our team is growing and we’re looking to hire a AI Research Scientist.

                                            -

                                            We are looking for people who share our vision of democratizing deep learning and contribute to our mission and build collaborations with academia. The postdoctoral researcher or PhD student will have the opportunity to define and lead research directions and contribute to the AI research community by publishing papers, securing patents, collaborating with leading academic institutions, and speaking and participating at international conferences.

                                            -

                                            What You'll Be Doing

                                            +

                                            +

                                            Requirements if pursuing a Bachelor’s:

                                              -
                                            • Perform research to advance the science and technology of Deeplite's engine
                                            • -
                                            • Closely follow academic works in the field of deep learning/reinforcement learning
                                            • -
                                            • Influence progress of relevant research communities by producing publications
                                            • -
                                            • Collaborate and increase productivity on existing research projects
                                            • +
                                            • Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
                                            • +
                                            • Track record of academic excellence
                                            -

                                            What We Need To See

                                            +

                                            +

                                            Requirements if pursuing a Master’s or PhD:

                                              -
                                            • Ph.D. or close to completion
                                            • -
                                            • Experience in deep learning or reinforcement learning
                                            • -
                                            • Interested in research and solving real world problems
                                            • -
                                            • Familiar with any deep learning framework such as TensorFlow, Pytorch, etc.
                                            • -
                                            • Strong publication record or alternative relevant innovation experience
                                            • +
                                            • In-depth knowledge of the theory and practice of machine learning
                                            • +
                                            • Minimum 1 strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
                                            • +
                                            • Knowledge of common machine learning frameworks
                                            • +
                                            • Track record of research excellence
                                            -

                                            This is a unique opportunity to change the way deep neural networks are used in industry and create new opportunities for AI technologies. Your work has the potential to power products and services that millions of users depend on.

                                            ",,https://deeplite.recruitee.com/o/ai-research-scientist-toronto,marjorie@deeplite.ai,http://www.deeplite.ai,,,2021-11-12T16:04:27.452Z,False,2,7,121,https://talenthub.vectorinstitute.ai/jobs/88249636-ai-research-scientist-at-deeplite-inc,,expired,2021-10-13T14:20:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Technology (Product Development),Entry Level,PhD,Re-Posting an Expired Job, -1c321b91-3c09-4e38-829b-d7205ae1e661,88490384,Vector Institute,"Applied Machine Learning Specialist (ML Operations) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-14T05:44:28.580Z,"
                                            -

                                            POSITION OVERVIEW

                                            -

                                            As an Applied ML Specialist with Machine Learning Operations (MLOps) expertise, you will contribute to developing reusable machine learning (ML) systems and software to apply and scale research breakthroughs in ML and artificial intelligence (AI). You will collaborate with some of the best and brightest ML engineers and scientists at Vector and leading industry and healthcare organizations. You will collaborate with some of the best and brightest ML researchers.

                                            -

                                            -

                                            KEY RESPONSIBILITIES

                                            +

                                            NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Memory Subsystem Design Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                                            +

                                            +

                                            #NVIDIATorontoAI

                                            +

                                            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Research-Scientist-Intern--Simulation-Technology_JR1946023,aimasters@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2021-10-15T07:32:55.235Z,False,0,32,180,https://talenthub.vectorinstitute.ai/jobs/83570608-research-scientist-intern-simulation-technology-at-nvidia,,expired,2021-09-15T07:32:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, +b181f5ae-1bd5-42f4-81c4-1a682295aa31,83570661,OMERS,"Student Analyst, Portfolio Analytics (Winter 2022)",on_site,"Toronto, ON, Canada",2021-09-15T07:39:54.939Z,"
                                            • +

                                              Why join us?

                                              +

                                              +

                                              Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                              At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                              +

                                              Are you ready to unleash your potential and join a high-performing team of investment professionals who value hard work, fun and camaraderie? As a Student Analyst, Portfolio Analytics, at OMERS Capital Markets, you will be part of a team of investment professionals that are building a world-class portfolio analytics platform. If you are passionate about data management and analytics and enjoy working with large amounts of data, we want to hear from you!

                                              +

                                              At OMERS, you can expect:
                                              - Collaboration with colleagues and leaders who offer diverse experiences and expertise in a supportive environment
                                              - The opportunity to develop and grow your investment expertise while being a part of an engaged team of investors committed to meeting the pension promise
                                              - Ongoing learning, mentorship and networking opportunities

                                              As a member of this team, you will be responsible for:
                                              - Develop and implement quantitative analytical tools involving large amounts of data from a wide spectrum of data types
                                              - Develop tools to help mathematically model an array of security types (bonds, swaps and derivatives)
                                              - Deliver the analytic result in simple and convenient visualization
                                              - Work closely with colleagues across Capital Markets, specifically the credit and risk management teams

                                              To succeed in this role, you have:
                                              - Enrolled in an undergraduate or graduate degree program in computer science, math or business
                                              - Strong academic track record combined with extra-curricular experience
                                              - Strong programming skills, with experience in Python preferred
                                              - Intermediate financial modeling skills (regression and numerical solution of differential equations)
                                              - A creative and enquiring mind
                                              - Good communication skills, team working ability and integrity
                                              - Html/SQL experience is an asset

                                              +

                                              +

                                              +

                                              +

                                              +

                                              Our story:

                                              +

                                              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                              +

                                              +

                                              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                              +
                                            +

                                            Apply

                                            +
                                              +
                                              • +
                                                Posted 6 Days Ago
                                            • +
                                              • +
                                                Full time
                                            • +
                                              • +
                                                JR-1539
                                            • +
                                            +

                                            About Us

                                            +
                                              +
                                            • +
                                            • Working with us is more than just a job – it is an opportunity to build a rewarding and fulfilling career. Our employees take great pride in serving the communities in which they live and contributing in a variety of ways to make important community-based initiatives possible globally.
                                            • +
                                            +

                                            Suggested Jobs

                                            • - Design and develop reproducible ML pipelines and scalable ML systems;
                                            • - Deliver software and models for ML development projects following an agile methodology with teams that can include Vector Applied ML Specialists, Applied ML Scientists, professional staff, researchers, students, and sponsors; -
                                            • +
                                              • Student Analyst, Technology Risk (Winter 2022)
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                                            • - Design and implement reference architectures for ML systems for training as well serving workloads that apply ML research to real-world problems using public and private datasets;
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                                            • - Research and extend open source MLOps tools and frameworks that address the full life cycle of end-to-end machine learning systems;
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                                            • - Develop prototypes and proofs of concept;
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                                            • -
                                            • Other duties as assigned.
                                            • -
                                            -

                                            -

                                            PROFILE OF THE IDEAL CANDIDATE

                                            -

                                            -
                                              +
                                              • Student Analyst, Global Credit (Winter 2022)
                                              Posted 6 Days Ago | Head Office Toronto
                                            • - Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline; Master’s degree preferred
                                            • - 3+ years of experience in software engineering +
                                              • Student Analyst, Global Credit (Summer 2022)
                                              Posted 6 Days Ago | Head Office Toronto
                                            • +
                                            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student-Analyst--Portfolio-Analytics--Fall-2021--4-or-8-Months-_JR-1539,aimasters@vectorinstitute.ai,https://www.omers.com/careers,,,2021-10-07T22:33:00.000Z,False,0,5,55,https://talenthub.vectorinstitute.ai/jobs/83570661-student-analyst-portfolio-analytics-winter-2022-at-omers,,expired,2021-09-15T07:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +f19bb79d-ecd6-48ac-ab24-9741c1bd4e93,84062112,Vector Institute (Internal Opportunities Only),Instructor – Data Driven Supply Chain & AI Possibilities,full,Anywhere,2021-09-17T19:29:04.224Z,"

                                            This Instructor position is for workshop (lecture and hands-on case study) development and delivery across two half-days, to members of Supply Chain Canada on the use of data analytics.

                                            +

                                            Dates

                                            +

                                            This workshop is to be held 1pm - 4pm on December 7 & 8, 2021.

                                            +

                                            Fees

                                            +

                                            This is a paid position. The flat fee for this course is $3,000 (CAD) in total for development and delivery of content.

                                            +

                                            Application

                                            +

                                            To apply, please submit your CV and a short motivational letter to learn@vectorinstitute.ai

                                            +

                                            Applications will be reviewed on a rolling basis until filled

                                            +

                                            Background

                                            +

                                            This workshop is being created to respond to Supply Chain Canada’s (SCC) interest in learning more about a custom workshop offering on artificial intelligence (AI) from the Vector Institute (Vector). With the seemingly endless applications of AI to the sector, SCC’s constituents wish to learn how to leverage AI to unlock untapped opportunities that add value across the supply chain.

                                            +

                                            The use of machine learning and AI in supply chain are made possible by the explosion in data from smart transportation, warehouse sensors, barcode systems, and automation across entire value chains. These techniques are used to optimize production, prediction, procurement, personalization, and promotion.

                                            +

                                            This workshop is designed for non-technical Supply Chain professionals who are well versed in maximizing, minimizing and optimizing various key metrics and are looking to do so with the latest technology and methods. The intended audience include mid-level managers across different supply chain functions, such as procurement, buying, sourcing, warehousing, and distribution.

                                            +

                                            The workshop introduces technical concepts (e.g., Regression Analysis, Model Optimization) in language that is accessible, using functional examples relevant to the workplace. It is delivered in a lecture/discussion format, and machine learning examples are demonstrated in Python, a popular programming language for AI. Learners are taught to interpret model results and key scoring criteria. The Python scripts are available after the session for those interested in a more hands-on experience.
                                            +
                                            +

                                            +

                                            The instructor, in communication with Vector Professional Development staff, will develop and deliver content in line with the following:
                                            +
                                            +

                                            +

                                            CONTENT: DAY ONE

                                            +

                                            +

                                            Introduction: Why does AI matter to supply chain professionals? 10 minutes

                                            +

                                            AI foundations and key concepts 1 hour

                                            +
                                              +
                                            • +· This section covers key terminology and key concepts in AI that supply chain professionals should know.
                                            • -
                                            • 1+ years experience in MLOps
                                            • - Experience applying building ML systems for training and inference +· Introduces technical concepts (e.g., Regression Analysis, Model Optimization) in language that is accessible, using functional examples relevant to the workplace.
                                            • - Good understanding of CI/CD/CT as it relates to machine learning lifecycle +· Foundations of AI
                                              • +o Key Terminology +
                                            • - Demonstrated experience in machine learning and/or statistics +o What is AI?
                                            • - Demonstrated analytical skills to identify signal in data and feasibility of prediction +· Foundations of Machine Learning
                                              • +o The Evolution of AI +
                                            • - Expert Knowledge and experience with Python for ML and DevOps. Experience with C++, Java or Scala is preferred +o Machine Learning
                                            • - Experience working on teams that land high quality software successfully in production is preferred +o Types of Learning
                                            • - Experience with MLflow, Airflow, Seldon core and Kubernetes is preferred +· Neural Networks
                                            • - Understanding of model maintenance, retraining and evaluation frameworks is a plus +· AI for Business
                                            • - Experience in leading open-source deep learning software frameworks (PyTorch, Tensorflow, and CUDA) is preferred +· Deriving Value from AI
                                            • - User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset +· Ethics and Bias
                                            -

                                            -

                                            Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on October 31, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                            -

                                            -

                                            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                            -

                                            -

                                            At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                            -

                                            -

                                            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                            -
                                            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=152&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-13T15:26:09.738Z,False,0,2,58,https://talenthub.vectorinstitute.ai/jobs/88490384-applied-machine-learning-specialist-ml-operations-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-14T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, -a2601975-1b03-49a4-b629-140a059d0c00,88761851,TD Bank Group,Senior Analytics Implementation Analyst (Developer),on_site,"Toronto, ON",2021-10-14T19:51:02.643Z,"
                                            -

                                            Company Overview

                                            -
                                            -

                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                            -

                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                            -
                                            -

                                            -

                                            Department Overview

                                            -
                                            -

                                            The Digital Data and Analytics (DDA) group is looking for highly motivated and driven individuals to join a team of analytics implementation specialists in a fast-paced environment supporting multiple digital & mobile platforms and applications across many lines of business within TD Bank Financial Group (Canada & U.S.)

                                            -

                                            Reporting into the Manager of Measurement Solutions, this position is accountable for implementation, continued integration and knowledge transfer of our analytics stack including Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services and Ensighten.

                                            -

                                            As a whole, the DDA team is responsible for extracting business and customer value from digital data. We provide automated reporting and visualization to business partners, and use advanced analytics, data science and machine learning to build data-driven solutions to deliver richer, more connected personalized experiences to our customers.

                                            -

                                            Within DDA, the Measurement Solutions team is responsible for managing and enhancing the analytics capabilities of TD Bank digital & mobile projects, ad-hoc tagging requests and marketing support with best-in-class measurement strategies.

                                            -
                                            -

                                            -

                                            Job Description

                                            -
                                              -
                                            • Collaborate with our digital stakeholders to define KPIs, reporting requirements, and overall measurement strategy for our digital and mobile customer journeys
                                            • -
                                            • Translate business requirements into technical specifications for custom digital analytics implementation using a combination of data layer, processing rules, SAINT classification, report suite configuration, custom JavaScript, JSON and applicable integrations with other systems
                                            • -
                                            • Manage daily operations and implementation of TD’s analytics stack (Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten) and 3rd party marketing tags (DoubleClick, Rakuten, Facebook, etc.)
                                            • -
                                            • Develop and own all implementation documents such as SDR, Data Layer specifications, custom JavaScript
                                            • -
                                            • Ensure the timely delivery and accuracy of documentation and technical coding (HTML, JavaScript, ActionScript) via our Tag Management System
                                            • -
                                            • Collaborate with technology teams on implementation of analytics solutions, including guidance on data layer implementation and troubleshooting, data feeds and integrations with other systems
                                            • -
                                            • Keep abreast of product updates (Adobe, Ensighten), best practices and proactively follow up with required changes in our implementation and appropriate communications
                                            • -
                                            • Provide consultative service, training and validation support to quality assurance/testing teams.
                                            • -
                                            -

                                            -

                                            Requirements

                                            -
                                              -
                                            • 4+ years’ experience in analytics, with digital experience preferred
                                            • -
                                            • 5+ years’ experience of web development including JavaScript, jQuery and Angular
                                            • -
                                            • Strong understanding of JSON structures and best practices
                                            • -
                                            • Strong understanding of Native Mobile development standards
                                            • -
                                            • Strong understanding of JavaScript & Node.js & DOM manipulation, web markup, including HTML5 and CSS3
                                            • -
                                            • Expertise with tag management tools (DTM, Adobe Launch, Tealium, Ensighten) and their configuration
                                            • -
                                            • All-hands experience in implementing/troubleshooting/deploying the Adobe stack, Google 360 and/or 3rd party marketing tags using DTM or Adobe Launch or Ensighten
                                            • -
                                            • Expert level knowledge in developing Adobe Analytics Solution Design Reference (SDR)
                                            • -
                                            • Understanding of Adobe Analytics processing rules, SAINT classifications, report suite configuration, and data feeds
                                            • -
                                            • Experience architecting a Data Layer Specification and guiding the development team on implementation and troubleshooting
                                            • -
                                            • Experience debugging Adobe Analytics utilizing browser network calls, extensions, and tools such as Fiddler, Charles or Omnibug
                                            • -
                                            • Ability to own and work independently on assigned deliverables, but also collaborate with multiple team members and stakeholders when necessary
                                            • -
                                            • Solid communications skills – verbal and written
                                            • -
                                            • Strong time-management skills and ability to work on multiple projects at once
                                            • -
                                            -

                                            -

                                            Additional Information

                                            -
                                            #businessintelligence
                                            -

                                            -

                                            Hours

                                            -
                                            37.5
                                            -

                                            -

                                            Inclusiveness

                                            -

                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                            -

                                            -
                                            ",,https://jobs.td.com/en-CA/jobs/13197080/senior-analytics-implementation-analyst-developer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-18T19:56:20.905Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/88761851-senior-analytics-implementation-analyst-developer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13197080/senior-analytics-implementation-analyst-developer-toronto-ca/,expired,2021-10-14T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -60ba2e00-5e95-47bc-bbda-d86ed19bd3fe,88857622,Manulife,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-10-14T21:38:04.090Z,"
                                            -
                                            -
                                            -

                                            Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                            -

                                            -

                                            Job Description

                                            -

                                            -

                                            Summary

                                            -

                                            -

                                            Calling on a Machine Learning Engineer who can seamlessly combine tech know-how with business acumen to go from a promising ML experiment to a shipped product, with real-world impact.

                                            -


                                            You will join the Canadian Advanced Analytics team to focus on delivering machine learning models into production and accelerate the development of ML solutions across Canada Segment. You will enable data scientists to translate models they create into optimized full-fledged AI/ML products and improve the maintainability of models by providing a common set of infrastructure and monitoring capabilities (MLOps).

                                            -


                                            Not only are you experienced in ML tech stack, but you have a firm grasp of Azure PaaS technologies, platforms and applications, and have intimate knowledge of how best to customize these for our business, to help us become more efficient. A true greenfield opportunity, you will join the team as we embark on cloud native architecture.

                                            -

                                            -

                                            -

                                            Key Accountabilities

                                            +

                                            Hands-on exercise 30 minutes Application of concepts

                                            +

                                            Break 30 Break

                                            +

                                            AI technologies & supply chain (Section 1) 1 hour

                                            +
                                            • Machine learning examples are demonstrated in a popular programming language for AI, Python.
                                            +
                                            • Learners are taught to interpret model results and key scoring criteria, and the Python scripts are available after the session for those interested in a more hands-on experience.
                                            +

                                            CONTENT: DAY TWO

                                            +

                                            AI technologies & supply chain (Section 2) 1 hour Continuation of Part 1

                                              -
                                            • Build end-to-end machine learning solutions to solve complex customer problems

                                            • -
                                            • Manage data science infrastructure to streamline model development and deployment

                                            • -
                                            • Working in collaboration with customers across Canadian business to plan, scope, implement and sustain predictive analytics solutions

                                            • -
                                            • Architecting, developing, optimizing and owning the deployment of ML functionalities into production systems

                                            • -
                                            • Design and evaluate new approaches for handling high-volume real-time data streams in an inferencing environment

                                            • -
                                            • Defining best practices for code, APIs, and frameworks that will lay the foundation for MLOps capabilities

                                            • -
                                            • Proposing appropriate tools (languages/libraries/frameworks) for implementing projects

                                            • -
                                            • Working closely with Infrastructure architects to design scalable and cost-effective solutions

                                            • +
                                            • Discussion of hands-on exercise
                                            • +
                                            • Learners receive a take-home assignment to consider how learnings may be applied in their various work streams (e.g., process improvements)
                                            +

                                            Hands-on exercise 30 minutes Application of concepts

                                            +

                                            Break 30

                                            +

                                            Case Studies in AI for supply chain (1 hour)

                                              -
                                            • Perform ETL to build model features

                                            • -
                                            • Following Software Deployment and QA processes and MLOps best practices

                                            • -
                                            • Develop measurements and feedback systems

                                            • -
                                            • Mentor associates and peers on DevOps/MLOps best practices

                                            • +
                                            • Introduction to the case studies and discussion.
                                            • +
                                            • By the end of this workshop, supply chain professionals will be able to identify AI use cases and applications, as well as recognize when to use AI and when to consider other technical solutions.
                                            -

                                            -

                                            -

                                            Key Experiences:

                                            +

                                            Proposed case studies:

                                              -
                                            • At least 3 years of hands-on experience with large-scale systems in data science / software engineering

                                            • -
                                            • Strong software development skills (+3 years working experience) with proficiency in Python

                                            • -
                                            • Advanced working SQL knowledge and experience working with relational databases and SQL

                                            • -
                                            • Minimum 1 year of experience in productionizing code through DevOps pipeline (git, Jenkins pipeline, code scan) the last 3 years

                                            • -
                                            • Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, RDBMS and NoSQL Databases

                                            • -
                                            • Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks, Azure Data Factory will be an asset.

                                            • -
                                            • Experience with Infrastructure as code (Terraform/ARM) desirable but not mandatory

                                            • -
                                            • Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, GraphQL, etc

                                            • -
                                            • Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark

                                            • -
                                            • An ability to balance a sense of urgency with shipping high quality and pragmatic solutions

                                            • -
                                            • Experience with user interface design (UX, PowerBI, node.js) and iterative customer-driven design processes would be an asset.

                                            • +
                                            • Chatbots/Natural Language Processing (NLP)
                                            • +
                                            • Predictive Analytics/Demand Forecasting
                                            • +
                                            • Optimization Modeling
                                            +


                                            +

                                            END OF COURSE

                                            +
                                              +
                                            • Assignment review session
                                            • +
                                            • Course debrief meeting
                                            • +
                                            • Team wrap meeting
                                            • +
                                            +


                                            +

                                            Pedagogical objective
                                            +

                                            +
                                              +
                                            • To introduce supply chain professionals to key AI concepts and connect them to different supply chain use cases, in order to develop a baseline understanding of how the technologies and methods could add value to their organizations.
                                            • +
                                            • These professionals may be considering AI-based solutions to improve productivity and efficiency, or they might be part of efforts to evaluate external vendors or make recommendations to leadership on new technology solutions to business problems.
                                            • +
                                            +

                                            Pedagogical approach (Lecture, remote etc...)

                                            +

                                            This workshop is delivered in an interactive lecture/discussion format, with practical examples and case studies used to spark reflection and questions. The sessions will be delivered online.

                                            +

                                            Level of training (introduction, basic competency, specialized competency)

                                            +

                                            Introduction

                                            +

                                            Participant prerequisites

                                            +
                                              +
                                            • No prior knowledge of AI required
                                            • +
                                            • No computer programming experience required
                                            • +
                                            ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-10-17T20:15:03.174Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/84062112-instructor-data-driven-supply-chain-ai-possibilities-at-vector-institute-internal-opportunities-only,,expired,2021-06-01T19:29:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, +20c59eca-5fdd-434c-9cd0-fea1330e613b,84351085,BMO Financial Group,Development Lead (Java),on_site,"Toronto, ON M8X 1C4, Canada",2021-09-20T08:49:15.961Z,"
                                            +

                                            Address:

                                            100 King Street West

                                            +

                                            Job Family Group:

                                            Technology

                                            -

                                            Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                            -

                                            -

                                            About John Hancock and Manulife

                                            -

                                            -

                                            John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                            -

                                            One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                            -

                                            Manulife is an Equal Opportunity Employer

                                            +

                                            Understands that the success of a developer is to understand the core business processes of the business unit and business requirements as well as the architecture patterns and technology strategy (e.g., Transformation, SmartCore, DevOps). Conceive and write detailed software implementations/code while ensuring that their code/configurations adhere to the security, logging, error handling, and performance standards and non-functional requirements. Writes, configures, and integrates code to create the software that aligns with architecture patterns and technology strategy. Understands the implications of various components (including technology strategy & architecture) to the overall design of a program, system, or eco-system. Evaluates new technologies for fit with the program/system/eco-system and the associated upstream and downstream impacts on process, data, risk (e.g., security). Works toward the objective of defect free software. Ensures that systems functionally meet requirements, align with architecture and promote the development of common assets. Supports the resolution of production issues and problems. Makes recommendations to improve BMO processes & systems.

                                            +
                                              +
                                            • Assesses impact of design decisions to the computer solution/product/service being developed (i.e. performance, schedule, budget, downstream component/system impact, quality, etc.) and recommends alternate/creative solutions for mitigation/optimization if required.
                                            • +
                                            • Recommends and implements solutions based on analysis of issues and implications for the business.
                                            • +
                                            • Identifies emerging issues and trends to inform decision-making.
                                            • +
                                            • Leads and implements initiatives as required to deliver business objectives.
                                            • +
                                            • Conducts independent analysis and assessment to resolve strategic issues.
                                            • +
                                            • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                            • +
                                            • Monitors and tracks performance, and addresses any issues.
                                            • +
                                            • Leads/conducts detailed code-reviews and provides feedback in a constructive manner.
                                            • +
                                            • Decomposes business requirements and translates them into detailed design specifications and code.
                                            • +
                                            • Interacts with key business & technology stakeholders to define, analyze, and deliver requirements that reflect the needs of both the business and end-customers.
                                            • +
                                            • Assesses the costs and benefits for different solutions and recommend/decide on appropriate designs.
                                            • +
                                            • Designs solutions, writes code, performs unit testing, develops appropriate artefacts / documentation, and facilitates final delivery.
                                            • +
                                            • Supports production issues, includes independently completing root-cause analysis and diagnosis.
                                            • +
                                            • Devises new algorithms and data structures for target environment and platform attributes in alignment with architectural patterns.
                                            • +
                                            • Builds solutions that are supportable, scalable and achieve our aspiration of common assets.
                                            • +
                                            • Recommends or automates approaches to streamline and integrate technological processes and/or systems to improve operational efficiency and effectiveness.
                                            • +
                                            • Supports the management of specific project deliverables & outcomes.
                                            • +
                                            • Identifies opportunities to strengthen the development capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                            • +
                                            • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                            • +
                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                            • +
                                            • Provides specialized consulting, analytical and technical support.
                                            • +
                                            • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                            • +
                                            • Works independently and regularly handles non-routine situations.
                                            • +
                                            • Broader work or accountabilities may be assigned as needed.

                                              Qualifications:

                                              +
                                            • +
                                            • 5 - 7 years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                            • +
                                            • Clear understanding of API Development concepts, SOA architecture, and their application in solution building.
                                            • +
                                            • Comprehensive understanding and skills for implementing API Service with: Web Services using REST/JSON/Swagger and SOAP/WSDLBonus:Security implementation using API Key, OAuth2, JWT/JWS/JWE, OpenID Connect, Lambda authorizers, LDAP, etc.AWS cloud development technologies like Lambda using node.js, java; API Gateway; Cloud Pipeline; Security etc.IBM API Connect.
                                            • +
                                            • Experience with DevOp tools, like BitBucket (git), Bamboo, Artifactory, Ansible. Programming languages (JavaScript with Node.js, SQL, Shell scripts etc.), Databases (MySQL, No SQL Databases like MongoDB)(bonus) Experience with multiple middleware technologies (Application Servers, BPMS, ESB & Message Brokers etc.)
                                            • +
                                            • Effective communication and documentation skills ensuring that customers and teams have a clear understanding of solutions recommended and intended outcomes.
                                            • +
                                            • Advanced level of knowledge in domain.
                                            • +
                                            • Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience.
                                            • +
                                            • Knowledge of required programming languages and can code with little oversight.
                                            • +
                                            • Knowledge of technical/business environment and processes.
                                            • +
                                            • Understand functional aspects and technical behavior of the underlying operating system, development environment, and deployment practices.
                                            • +
                                            • Have facility with and understanding of the ecosystem that code operates in.
                                            • +
                                            • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                            • +
                                            • Verbal & written communication skills - In-depth.
                                            • +
                                            • Collaboration & team skills - In-depth.
                                            • +
                                            • Analytical and problem solving skills - In-depth.
                                            • +
                                            • Influence skills - In-depth.
                                            • +
                                            • Data driven decision making - In-depth.
                                            • +

                                            -

                                            At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                            -

                                            It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                            -
                                            -
                                            ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Machine-Learning-Engineer_JobReq0438605-2,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-10-28T16:46:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/88857622-machine-learning-engineer-at-manulife,,expired,2021-10-14T21:38:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -31b99f70-c8ad-4586-9722-40e9e9322c5d,88913604,Scotiabank,VELOCITY - Data Scientist - Winter 2022,on_site,Canada : Ontario : Toronto,2021-10-15T04:46:14.083Z,"

                                            -

                                            -

                                            -

                                            -

                                            Requisition ID: 119281

                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                            -

                                            - -

                                            VELOCITY – Data Scientist – Winter 2022

                                            -

                                            WORK TERM: 4 Months - Winter 2022 (January - April)

                                            -

                                            -

                                            What Can I Expect from the Velocity Program?

                                            -


                                            This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                            -

                                            -

                                            You will…

                                            -
                                            • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                            • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                            • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                            • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                            • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                            • Present results to business line stakeholders and help implement real data-driven changes
                                            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                            • Experiment & learn!
                                            • +

                                              We’re here to help

                                              +

                                              +

                                              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                              +

                                              +

                                              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                              +

                                              +

                                              To find out more visit us at https://jobs.bmo.com/ca/en.

                                              +

                                              +

                                              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                              +
                                            ",,https://jobs.bmo.com/ca/en/job/R210013003/Development-Lead-Java,info@bmocareers.com,https://bmocareers.com/,,,2021-10-18T10:55:30.205Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/84351085-development-lead-java-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210013003/Development-Lead-Java,expired,2021-09-20T08:49:00.000Z,import-xml-feed:BMO-Job-Feed,,,,,,, +86dbcc6f-9d99-4083-acfa-118c4d967b4f,84364473,Canadian Institute for Health Information,"Senior Analyst, Pharmaceuticals",on_site,"Toronto, ON, Canada",2021-09-20T18:36:07.343Z,"

                                            Senior Analyst, Pharmaceuticals

                                            +

                                            Job number:J0921-0639Job title:Senior Analyst, PharmaceuticalsJob type:ContractLocation:Ottawa, Toronto, Ontario, CanadaNumber of positions:1Contract Duration :Until November 2022Date posted:September 10, 2021Closing date:September 24, 2021Range minimum:$77,000.00/year

                                            +

                                            Who we are

                                            +

                                            +

                                            We are an organization comprised of industry thought leaders who are passionate about health data and want to make a difference in the health care field. We are an independent, not-for-profit organization and together with our partners we provide essential information on Canada's health systems, enabling decisions that lead to healthier Canadians. As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution of Canada's health care systems.

                                            +

                                            CIHI is recognized as an exceptional place to work that embraces diversity, respect, integrity, collaboration and innovation.

                                            +

                                            At CIHI, we recognize what matters to our employees. Some of the benefits of working at CIHI include

                                            +
                                              +
                                            • HOOPP Pension Plan (Defined Pension)
                                            • +
                                            • Retirement Planning Program
                                            • +
                                            • Generous vacation days for permanent and long-term contracts
                                            • +
                                            • Work-life balance
                                            • +
                                            • Career Planning Program
                                            • +
                                            • Learning and Professional Development Program
                                            • +
                                            • Flexible benefits program from your first day on the job for permanent and long-term contracts
                                            -

                                            -

                                            You Are?

                                            -

                                            You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                            -

                                            Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                            -

                                            -

                                            You have basic knowledge in…

                                            -
                                            • Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                            • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
                                            • Big Data/Cloud ecosystem (e.g. GCP)
                                            • Experimental design, statistical analysis, machine learning
                                            • Python programming
                                            • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                            • UNIX tools and shell scripting
                                            • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                            • Visualization tools like PowerBI
                                            • Kubernetes
                                            • Git Workflows (Pull Request, Code Review, Branching)
                                            • +

                                              +

                                              Why is this role important?

                                              +

                                              The Senior Analyst, Pharmaceuticals, will be responsible for working collaboratively with the Pharmaceuticals program area to support analysis and reporting on data from the National Prescription Drug Utilization Information System (NPDUIS) Database. The Senior Analyst is responsible for leading data analysis and supporting the design, development, writing and production of pharmaceuticals reports. Additional analytical duties include data requests and data quality evaluation.

                                              +

                                              What you'll do

                                              +

                                              1. Leads data analysis for recurring CIHI reports, data requests and special studies.

                                              2. Assists with the development and application of analytic techniques for analysis of drug claims data.

                                              3. Develops and/or maintains up-to-date and comprehensive documentation relating to the NPDUIS, analytical methodologies and protocols.

                                              4. Conducts analyses, in consultation with the CIHI Data Quality and program area teams, for evaluation of data quality and makes recommendations to the program area for improvement strategies.

                                              5. Liaises with clients to define requirements and specifications for data requests, in accordance with confidentiality and data access policies.

                                              6. Actively participates in meetings with external working groups and prepares documentation, as required.

                                              7. Develops and maintains knowledge of the Pharmaceuticals data holdings and Canadian pharmaceutical policy.

                                              8. Assumes responsibility for other related duties as assigned by the Program Lead and/or Manager, Pharmaceuticals.

                                              +

                                              What you'll bring to the table

                                              +

                                              • Proven experience analysing health-care data using analytical software including the manipulation and analysis of statistical data from administrative health databases in the preparation of statistical and descriptive reports.
                                              • Strong knowledge and proficiency in statistical analysis software packages; SAS is preferred; Python and R are considered assets.
                                              • Experience in drug utilization and expenditure data is considered an asset.
                                              • Strong interpersonal skills and communication skills (both written and oral).
                                              • Strong conceptual and problem solving skills with strong attention to detail and organizational skills.
                                              • Proven ability to lead projects, work as part of a team and work with minimal supervision.
                                              • Fluency in English required, bilingualism an asset.

                                              +

                                              Basic Qualifications

                                              +

                                              • Undergraduate degree in health information/administration, economics, statistics, or similar field. Masters degree is considered an asset.
                                              • Three to five years’ experience in a relevant position.

                                              +

                                              +

                                              To find out more about this role and other exciting opportunities visit our website at www.cihi.ca and check out our 'Careers' section.

                                              +

                                              We thank all those who apply, however, only candidates selected for an interview will be contacted.

                                              +

                                              +

                                              +

                                              At CIHI we are committed to fostering an inclusive, barrier-free and accessible environment. Part of this commitment includes arranging accommodations to ensure an equitable opportunity to participate in the recruitment and selection process. If you require an accommodation, we will work with you to meet your needs.

                                              ",,https://clients.njoyn.com/cl3/xweb/XWeb.asp?NTKN=c&clid=53103&Page=JobDetails&Jobid=J0921-0639&BRID=108525&lang=1,aimasters@vectorinstitute.ai,http://www.cihi.ca/careers,,,2021-10-07T22:25:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/84364473-senior-analyst-pharmaceuticals-at-canadian-institute-for-health-information,,expired,2021-09-20T18:36:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +2566378a-3452-4188-82a5-b93bf5b40498,84365721,TELUS,"Director, Data Engineering Platforms",on_site,"Toronto, ON, Canada",2021-09-20T19:00:54.893Z,"

                                              We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                              Join our team

                                              We are searching for a talented candidate to become our team’s Director - Data Engineering Platforms. The Director will be responsible for the Development and Operations of enterprise foundational platforms providing curated data and insights leveraged across TELUS. The Director will be an agent of change in a very dynamic and fast changing environment and will be the custodian of its evolving strategy, roadmap, execution and maintaining cutting edge cloud skillset. Reporting to the VP – Data Strategy & Enablement, the successful candidate will lead a group of talented data and software engineers and data technology architects working alongside various business units across TELUS to enable the acceleration of insights to actions to savings/revenue generation through efficient creation, distribution & exchange of high quality datasets across TELUS.

                                              This is Your Opportunity

                                              At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the Director - Data Engineering Platforms will have the opportunity to:

                                              +

                                              +
                                                +
                                              • Lead a team of talented data and software engineers to drive the strategy, plans and execution of our enterprise data and analytics foundational common platforms
                                              • +
                                              • Maintain and evolve capabilities and technology roadmaps aligned with the always evolving business stakeholder needs
                                              • +
                                              • Advance our systems reliability by applying SRE principles optimizing for expected uptime, development of new features and cost
                                              • +
                                              • Implement and evolve DevOps principles and tooling to ensure continuous delivery and automation of data pipelines for delivering curated data
                                              • +
                                              • Drive the transformation and strategic cloud centric direction to adapt the best of new technology to our data foundations to increase our ability to drive better outcomes
                                              • +
                                              • Drive the continuous systems transformation as we migrate infrastructure and applications to the cloud
                                              • +
                                              • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner to our stakeholders and in accordance with our privacy and security by design policies
                                              • +
                                              • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                              • +
                                              • Mentor, lead, and support a diverse and very talented team
                                              -

                                              -

                                              How to apply?

                                              -

                                              For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                              -

                                              -

                                              1) Complete your PLUM Profile here

                                              -

                                              2) Take a screenshot of your completed PLUM profile.

                                              -

                                              3) Complete a very short one-way video interview by clicking here

                                              -

                                              4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                              -

                                              -

                                              We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                              -

                                              -

                                              Location(s): Canada : Ontario : Toronto

                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                            ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-&-Business-Analysis-8-Months-%28Winter-Summer-2022%29-1-ON/550237317/,feed-importer@jobboard.io,,,,2021-10-25T20:51:00.000Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/88913604-velocity-data-scientist-winter-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-&-Business-Analysis-8-Months-%28Winter-Summer-2022%29-1-ON/550237317/,expired,2021-10-15T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -7573036c-b1c8-444d-8be7-e88c3258ed12,98164794,Deloitte,"Senior Consultant, AI Strategy - AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2021-12-09T02:43:11.297Z,"
                                            +

                                            You're the missing piece of the puzzle

                                            +
                                              +
                                            • You are go-getter and trailblazer who can work leverage teamwork and connections to drive value creation
                                            • +
                                            • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                            • +
                                            • You are resilient and adept at challenging the status quo by constantly observing, being curious and asking questions
                                            • +
                                            • You can communicate clearly and effectively in both technical and business matters
                                            • +
                                            • You never stop learning and are always hungry for more knowledge
                                            • +
                                            • You are analytical and outcome-oriented with a proven ability to translate technical considerations into business implications (and vice versa!) as well as to synthesize data into actionable insights
                                            • +
                                            • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                            • +
                                            • You have experience with agile ways of working and a bias for action to break down barriers to get results fast with a test and learn mindset
                                            • +
                                            • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                            • +
                                            +

                                            Great-to-haves

                                            +
                                              +
                                            • Bachelor of Computer Science, Electrical Engineering or related technical fields
                                            • +
                                            • MBA or equivalent
                                            • +
                                            • Experience in Google Cloud Platform (GCP)
                                            • +
                                            • 8+ of progressive and relevant work experience
                                            • +
                                            +

                                            What We Give Back to You

                                            +
                                              +
                                            • Flexible work styles with the ability to work in and out of the office
                                            • +
                                            • Opportunities to excel and show your stuff – work on high value and high visibility projects
                                            • +
                                            • Work in an organization that actively supports you giving back to the community you live in
                                            • +
                                            • Competitive pay and benefits
                                            • +
                                            • A workplace that lets you be your best every day and embraces our core values: Spirited team work, Courage to innovate, Embrace change and Initiate opportunity and a Passion for growth
                                            • +
                                            +

                                            A bit about us Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you’re helping us make the future friendly. We’re committed to diversity and equitable access to employment opportunities based on ability — your unique contributions and talents will be valued and respected here. DESJobs

                                            +

                                            Accessibility +

                                            +

                                            TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

                                            +

                                            +

                                            We offer accommodation for applicants with disabilities, as required, during the recruitment process.

                                            ",,https://telusjobs.telus.com/jobs/director-data-engineering-platforms-26207,aimasters@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2021-10-20T19:00:56.497Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/84365721-director-data-engineering-platforms-at-telus,,expired,2021-09-20T19:00:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Director,Masters Degree,New Posting, +754afe14-9b71-4812-b060-a7d0bdb03f7b,84405626,Deloitte,"Manager, AI Strategy - AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2021-09-21T02:36:11.500Z,"

                                            Job Type: Permanent
                                            Primary Location: Toronto, Ontario, Canada
                                            All Available Locations: Toronto

                                            Partner with clients to solve their most complex business problems
                                            Be encouraged to deepen your technical skills…whatever those may be
                                            Lead projects and teams to make an impact that matters

                                            -

                                            +

                                            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                            What will your typical day look like?

                                            -

                                            As a Senior Consultant, AI Strategy - AI & Analytics Academy, you will work directly with the AI & Analytics Academy Lead to help design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of both executives and technical/ quantitative professionals from client organizations.

                                            +

                                            As a Manager, AI Strategy - AI & Analytics Academy, you will work directly with the AI & Analytics Academy Lead to design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of both executives and technical/ quantitative professionals from client organizations.

                                            In this role, you will:

                                            -
                                            • Be part of a collaborative team analyzing client issues and developing solutions
                                            • Help analyze and diagnose client business issues to develop, recommend, and communicate creative approaches and solutions
                                            • Enable the Academy team and managers to develop proposals and participate in sales/business development efforts within the practice
                                            • Contribute to knowledge sharing and practice development efforts
                                            • Collaborate on designing tailored AI and Advanced Analytics learning programs
                                            • Help with the development and/or refinement of frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                            • Support the customization of existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                            • Collaborate with your peers and managers to prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                            • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                            • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                            • Design pre and post program surveys to assess impact of learning programs
                                            • Support the delivery of tailored AI and Advanced Analytics learning materials
                                            • Coordinate all capabilities required to deliver on the program by working with the team to ensure a seamless delivery of the learning program by leveraging the following enablers:
                                            • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                            • People: Participate in training and organization sessions for Client and Deloitte facilitators and co-facilitators to help build a high-performing Faculty team
                                            • +
                                              • Manage a collaborative team analyzing client issues and developing solutions
                                              • Analyze and diagnose client business issues to develop, recommend, and communicate creative approaches and solutions
                                              • Develop proposals and participate in sales/business development efforts within the practice
                                              • Contribute to knowledge sharing and practice development efforts
                                              • +
                                              +

                                              Design tailored AI and Advanced Analytics learning programs

                                              +
                                              • Develop and/or refine frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                              • Customize existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                              • Prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                              • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                              • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                              • Design pre and post program surveys to assess impact of learning programs
                                              • +
                                              +

                                              Deliver tailored AI and Advanced Analytics learning materials

                                              +
                                              • Coordinate all capabilities required to deliver on the program. As the program coordinator, you will be responsible for ensuring a seamless delivery of the learning program by leveraging the following enablers:
                                                • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                                • People: Train and organize Client and Deloitte facilitators and co-facilitators to build a high-performing Faculty team
                                              -

                                              -
                                              @@ -10593,10 +11064,10 @@ a2601975-1b03-49a4-b629-140a059d0c00,88761851,TD Bank Group,Senior Analytics Imp
                                              -

                                              Enough about us, let’s talk about you

                                              +

                                              Enough about us, let’s talk about you

                                              You are someone with:

                                              -
                                              • 3 to 5 years’ work experience developing cutting-edge learning programs ideally in the data, analytics or AI domains
                                              • Completed Undergraduate Bachelor’s Degree in Human Resource Management, Industrial/Organizational Psychology, Instructional Design or related field preferred
                                              • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                              • Professional services, consulting, or advisory experience is an asset
                                              • Exceptional senior stakeholder management skills
                                              • Excellent written and verbal communication skills and strong attention to detail
                                              • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                              • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                              • Commitment to quality, ethics and confidentiality
                                              • Bilingualism is an asset
                                              • Some travel may be required
                                              • +
                                                • Minimum of seven years’ work experience developing cutting-edge learning programs ideally in the data, analytics or AI domains
                                                • Completed Undergraduate Bachelor’s Degree in Human Resource Management, Industrial/Organizational Psychology, Instructional Design or related field preferred
                                                • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                                • Professional services, consulting, or advisory experience is an asset
                                                • Exceptional senior stakeholder management skills
                                                • Superior written and verbal communication skills and strong attention to detail
                                                • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                                • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                                • Commitment to quality, ethics and confidentiality
                                                • Bilingualism is an asset
                                                • Some travel may be required


                                                If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
                                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                              @@ -10614,89 +11085,122 @@ a2601975-1b03-49a4-b629-140a059d0c00,88761851,TD Bank Group,Senior Analytics Imp

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              -

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                              ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/796578500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-01-08T16:01:21.398Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/98164794-senior-consultant-ai-strategy-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/796578500/,expired,2021-12-09T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -9710b039-63c0-4fc3-908a-688c6e4b83a0,98213735,TELUS,Data Scientist - Data Analytics,on_site,"Ontario, Canada",2021-12-09T07:19:03.865Z,"
                                              -
                                              -

                                              -
                                              -

                                              Join our team

                                              -

                                              -

                                              Our Team – TELUS Business Solutions Marketing BI - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.

                                              -

                                              -

                                              Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

                                              -

                                              -

                                              Here’s the impact you’ll make and what we’ll accomplish together

                                              -

                                              -

                                              As a Data Scientist in the team, you will be working with Business Stakeholders and the campaign team to identify use cases, build machine learning models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

                                              -

                                              -

                                              Here’s how

                                              -

                                              +

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                              ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/791516200/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-10-22T19:52:03.779Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/84405626-manager-ai-strategy-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/791516200/,expired,2021-09-21T02:36:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +27c5dfbd-504f-4b3f-905b-6d5700ee4411,85698573,CIBC,"Machine Learning Engineer, Data Enablement, Advanced Analytics & AI",on_site,"Ontario, Canada",2021-09-30T09:49:04.308Z,"
                                              +
                                              +
                                              +

                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                              +

                                              +

                                              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                              +

                                              +

                                              To learn more about CIBC, please visit CIBC.com

                                              +

                                              +

                                              Job Description

                                              +

                                              +

                                              Job Description

                                              +

                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                              +

                                              To learn more about CIBC, please visit CIBC.com

                                              +

                                              +

                                              What You’ll Be Doing

                                              +

                                              Embedded within the Advanced Analytics & AI (EAA) group, we are a blended team of full-stack Data Scientists and ML Engineers. Our mandate is to build and deploy machine learning models as data products and services. As an enterprise group we work with multiple partners and use-case types across our bank, including Marketing, Client Operations, Payments and many other business groups.

                                              +

                                              +

                                              How You’ll Succeed

                                                -
                                              • You will build pipelines to bring data required to support the use case
                                              • -
                                              • You will develop new machine learning models to enable intelligent campaigns
                                              • -
                                              • You will productionalize machine learning models and automate processes
                                              • -
                                              • Collaborate with business stakeholders to enable new use cases for TELUS Business
                                              • -
                                              • Effectively communicate with leadership and stakeholders in explaining the model and outcomes
                                              • +
                                              • Data Science Expertise: You will use your expertise in Machine Learning to develop reproducible models, develop model evaluation, training and monitoring pipelines.

                                              • +
                                              • MLOps: You will utilize your strong Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will deploy batch models to production by utilizing tools such as Jenkins. You will create tables in our feature/model serving store as a means to store our batch model outputs via Python. You will assist with the maintenance and monitoring of models and data services in production.

                                              • +
                                              • Champion Best Practices: You will champion the team’s code-style, work-flow patterns and project structure standards You will lead by example by writing great documentation, practicing test-driven-development and properly annotating your code.

                                              • +
                                              • Trusted Partner: You will actively engage with other data scientists, engineers & business clientele to build trust and credibility. You will support your colleagues in areas by sharing ideas and brainstorming approaches to problems.

                                              -
                                              -
                                              -
                                              -

                                              -
                                              -

                                              -

                                              You’re the missing piece of the puzzle

                                              -

                                              +

                                              +

                                              What We’re Looking For

                                                -
                                              • You have experience leading large scale projects and partnering with multiple stakeholders
                                              • -
                                              • You can manage ambiguity and change with a learning and growth mindset
                                              • -
                                              • You love digging into quantitative and qualitative data
                                              • -
                                              • You have experience working with customer data, building recommendation engines, personalized offer management, lifetime value and propensity modeling
                                              • -
                                              • You have experience in building machine learning algorithms
                                              • -
                                              • You have worked with R/Python, SQL, spark, big data technologies or cloud
                                              • -
                                              • You have data engineering experience and ability to extract data from various sources
                                              • -
                                              • You have 5+ years of experience in a similar role and/or related education with demonstrated performance
                                              • +
                                              • Demonstrated knowledge of data science & machine learning with Python using common data science libraries, such as the PyData stack, and other ML frameworks

                                              • +
                                              • Strong Python programming skills including creating/debugging Python scripts in an non-notebook environment (e.g. PyCharm or VSCode) and writing modular code in a functional programming style.

                                              • +
                                              • Demonstrated knowledge writing SQL scripts to query relational databases and data warehouses

                                              • +
                                              • Familiarity with git, GitHub & conda

                                              • +
                                              • Familiarity with Linux systems & proficient at writing basic bash scripts

                                              • +
                                              • A conceptual understanding or exposure to Docker.

                                              • +
                                              • +

                                                Any of these would be considered an asset :

                                                +
                                                  +
                                                • Familiarity with the Flask or FastAPI web frameworks

                                                • +
                                                • Any exposure to DevOps tools, such as Jenkins and writing Jenkins pipelines is a big plus

                                                • +
                                                • Familiarity with scripting in SAS and SAS Enterprise Guide

                                                • +
                                                • Familiarity working with git branching and merging

                                                • +
                                                • Familiarity with Microsoft Azure cloud platform

                                                • +
                                                • Familiarity with front-end frameworks, such as Bootstrap & Angular.

                                                • +
                                                +
                                              -

                                              -

                                              Great to haves

                                              -

                                                -
                                              • Prior telecommunications or B2B marketing experience
                                              • -
                                              • Experience with Cloud / Salesforce technologies
                                              • +
                                              • You have an a degree in: computer science, engineering, the natural sciences, math, other related quantitative field, or relevant work experience.

                                              • +
                                              • Minimum 1 year of relevant experience working either in industry, academia or co-op programs.

                                              • +
                                              • You have a strong sense of intellectual curiosity. You are intellectually curious and often think about ways to improve how we work. You may not know every tool or framework, but your innate sense of curiosity drives you to learn and grow your technical and business acumen. Along the same lines, you will have plenty of training opportunities and support from your peers and manager to fill in the gaps in your skill sets.

                                              • +
                                              • You embrace change and champion analytics. You empower and enable your team to make continuous improvement. You enjoy sharing knowledge and ideas with your colleagues & business partners, becoming an engaged member of the analytics community at our bank.

                                              • +
                                              • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                              • +
                                              • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                              • +
                                              +

                                              +

                                              What CIBC Offers

                                              +

                                              At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                              +
                                                +
                                              • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home.

                                              • +
                                              • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity.

                                              • +
                                              • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training.

                                              • +
                                              • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan.

                                              • +
                                              +

                                              +

                                              What You Need to Know

                                              +
                                                +
                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com

                                              • +
                                              • You need to be legally eligible to work at the location(s) specified below and where applicable, must have a valid work or study permit.

                                              +

                                              +

                                              What you need to know

                                              +
                                                +
                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com +
                                              • +
                                              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                              • +
                                              +

                                              +

                                              +

                                              Job Location

                                              Toronto-CC North 26th Floor

                                              Employment Type

                                              Regular

                                              +

                                              Weekly Hours

                                              37.5

                                              Skills

                                              +

                                              +
                                              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Machine-Learning-Engineer--Data-Enablement--Advanced-Analytics---AI_2123632,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2021-10-04T09:54:04.973Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/85698573-machine-learning-engineer-data-enablement-advanced-analytics-ai-at-cibc,,expired,2021-09-30T09:49:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +afcec209-c81a-4ab3-a9dc-7faa89eddb8f,85827264,Deloitte,"Senior Manager, Intelligent Automation, Omnia AI (Toronto)",on_site,"Multiple Locations, Ontario, Canada",2021-10-01T02:39:23.043Z,"
                                              +

                                              Job Type: Permanent
                                              Primary Location: Multiple Locations, Ontario, Canada
                                              All Available Locations: Toronto; Ottawa

                                              +

                                              +

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Partner with clients to solve their most complex problems
                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                              -
                                              ",,https://careers.telus.com/job/Vancouver-Data-Scientist-Data-Analytics-Brit/551845117/,feed-importer@jobboard.io,,,,2022-01-08T16:04:21.680Z,False,0,3,60,https://talenthub.vectorinstitute.ai/jobs/98213735-data-scientist-data-analytics-at-telus,,expired,2021-12-09T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -7c460c0e-c62a-4751-b0c1-9938c9311853,101110000,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-12-26T02:43:07.036Z,"

                                              Job Type: Permanent
                                              Primary Location: Multiple Locations, Canada
                                              All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                              -

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Partner with clients to solve their most complex problems
                                              Be empowered to lead and have impact with clients, our communities and in the office

                                              -

                                              Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                              +

                                              Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                              What will your typical day look like?

                                              -

                                              As a Senior Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                              -

                                              In this role, you will :

                                              -
                                              • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                              • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                              • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                              • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                              • +

                                                As part of this team you would be working with our industry and account teams – spotting client opportunities, tailoring our propositions and working together to convert sales. You would harness key IA platforms such as ABBYY, AWS, Automation Anywhere, Blue Prism, Celonis, GCP, Microsoft, UiPath and others, to address the challenges and automation ambitions of our clients and deliver results. As a Senior Manager within this team, you have the opportunity to combine your deep industry experience with your technical knowhow to develop your career while working with multiple clients.

                                                +

                                                A Senior Manager at Deloitte is expected to contribute to the firm's growth and development in a variety of ways, including:

                                                +
                                                • Business Development: Develop and maintain contact with top decision makers at key clients in your sector; work closely with Deloitte industry and account leaders in your chosen industry to integrate IA propositions; organize and lead IA pursuit teams; lead, participate and win proposals.
                                                • Client Management: Manage day-to-day interactions with executive clients and sponsors; define, educate and embed IA principles and solutions at clients.
                                                • Engagement Management: Lead IT engagement teams; complete project planning and budgeting; define deliverable structure and content; facilitate buy-in of proposed solutions from all levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk; manage diverse teams within an inclusive team culture where people are recognized for their contribution.
                                                • Practice Development & Eminence: Develop IA practical solutions, Proof of Concepts and methodologies; develop IA thought leadership and point-of-view documents; participate in public speaking and events in your industry.
                                                • People Development: Perform role of people leader and coach; provide input and guidance into the staffing process; actively participate in IA staff recruitment and retention activities; provide leadership and support for IA delivery teams and staff in local offices.

                                              About the team

                                              -

                                              Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                              -

                                              Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                              +

                                              Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                              +

                                              In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                              Enough about us, let’s talk about you

                                              You are someone with:

                                              -
                                              • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                              • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                              • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                              • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                              • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                              • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                              • Master of Business Administration or Masters of Management in Analytics is preferred
                                              • +
                                                • Solid delivery experience with intelligent automation projects, including with Robotic Process Automation, Business Process Management and Artificial Intelligence solutions (or other technology-enabled transformation programs/projects) with large budgets and strategic impact, particularly in your chosen industry sector
                                                • Provided advisory and implementation expertise to clients including use case and business case development for disruptor based technologies
                                                • A proven track record of successfully leading and managing teams, including performance management, coaching and mentoring
                                                • Managed stakeholders using clear communications and formed strong client relationships
                                                • Knowledge and understanding of how Intelligent Automation technologies are driving change across your chosen industry and market, and address organizational challenges
                                                • Designed and/or delivered automation centers of excellence (CoE) and operating models (desirable)
                                                • Strong commercial and project management skills
                                                • Worked independently and managed multiple task assignments
                                                • Relevant consulting or industry experience
                                                • Worked within an agile delivery environment; experience/certification in delivering change initiatives in an agile way is a plus
                                                • Managed junior resources both on a project and day-to-day basis, including the quality assurance of client deliverables
                                                • Worked effectively within an inclusive team and actively supported the development of individuals and teams, both formally and informally
                                                • Eligibility for Canadian security clearances preferred
                                                -


                                                If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                                -

                                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                              @@ -10709,938 +11213,866 @@ a2601975-1b03-49a4-b629-140a059d0c00,88761851,TD Bank Group,Senior Analytics Imp


                                              The next step is yours

                                              Sound like The One Firm. For You?

                                              -

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              -

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              -

                                              -

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                              ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/791369800/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-01-13T19:16:00.000Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/101110000-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/791369800/,expired,2021-12-26T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -517d850b-93ea-44ce-b4ce-9925f18092df,102506305,TD Bank Group,Software Engineer Intern/Co-op,on_site,"Toronto, ON",2022-01-03T20:33:05.584Z,"
                                              +

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              +

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              ",,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-10-31T14:38:35.421Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/85827264-senior-manager-intelligent-automation-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,expired,2021-10-01T02:39:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +c4719af9-49c9-42cf-8ec5-722baf16d9ff,86819784,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2021-10-04T17:51:27.722Z,"

                                              Company Overview

                                              -

                                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                              -

                                              TD’s Colleague Promise: A better you. A better us.

                                              -

                                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                              +

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              +

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              Department Overview

                                              -

                                              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                              -

                                              Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                              -
                                                -
                                              • Leadership talks with key Leaders from across the organization
                                              • -
                                              • Lunch and Learns on topics such as Innovation
                                              • -
                                              • Diversity and Inclusion and Personal Branding and so much more
                                              • -
                                              +

                                              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                              +

                                              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                              +

                                              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                              Job Description

                                              -

                                              You will have the opportunity to work with one of our various teams within the Technology group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our technology platforms. This could include platforms such as core banking, customer servicing, or customer engagement.

                                              -

                                              Job responsibilities for a Software Engineer Intern/Co-op may vary by area. This may include, but is not limited to the following:

                                              +

                                              +

                                              About this Role

                                              +

                                              You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                              +

                                              We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                              +

                                              As a Data Scientist I, these are the essential qualifications of this role:

                                                -
                                              • Assist in the development/maintenance of comprehensive processes for prevention of issues and participate in problem determination and timely resolution of incidents applying appropriate quality measures
                                              • -
                                              • Work with business partners to define and develop detailed business requirements
                                              • -
                                              • Design, develop and deploy system enhancements
                                              • -
                                              • Perform Unit and System Integration testing
                                              • -
                                              • Document system deployment plans for system implement and code deployment
                                              • -
                                              • Participate in Proof of Concept (POC) on new technologies and document findings
                                              • -
                                              • Provide recommendations with full usability analysis.
                                              • -
                                              • Conduct program/ system research, analysis, detailed design and problem resolution
                                              • -
                                              • Respond to business and users’ enquiries on business applications
                                              • -
                                              • Troubleshoot and determine root cause and resolution for application defects
                                              • -
                                              • Ensure defect free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                              • -
                                              • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects.
                                              • -
                                              • Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities
                                              • -
                                              • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                              • +
                                              • Guide on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization
                                              • +
                                              • Interpret the meaning of new strategic directions and set objectives and measurements
                                              • +
                                              • Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements
                                              • +
                                              • Capture and analyze information or data on current and future trends
                                              • +
                                              • Seek information on issues impacting the progress of organizational and process issues
                                              • +
                                              • Educate the organization on approaches, such as testing hypotheses and statistical validation of result
                                              • +
                                              • Help the organization understand the principles and the math behind the scientist process to drive organizational alignment
                                              • +
                                              • Translate up to date information into continuous improvement activities that enhance performance
                                              • +
                                              • Research organizational and professional trends, evaluate information sources, and collate and compare findings for bias, omission and accuracy, conduct objective analysis
                                              • +
                                              • Establish positive working relationships across multiple business and technology partners, program and project managers
                                              • +
                                              • Participate in knowledge transfer within the team and business units

                                              Requirements

                                              -
                                                -
                                              • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                              • -
                                              • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                              • -
                                              • Understanding of Data Structures and Algorithms
                                              • -
                                              • Understanding of OOP concepts and SOLID Principles
                                              • -
                                              • Strong coding, debugging, and problem-solving skills
                                              • -
                                              • Demonstrate understanding of at least one programing language and relational databases
                                              • -
                                              • A thirst for constantly exploring emerging technology
                                              • -
                                              • Familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, Ruby, SQL, J2EE, Web Services, .NET, VBA, FPML, XML, HTTP, WSDL, Linux, Unix, Perl, Oracle, AIX, Windows, DB2, FIX Protocol, MS SQL, Angular, Type Script and React JavaScript libraries
                                              • -
                                              • Familiarity with source code management such as GIT
                                              • -
                                              • Familiarity with Jira and Confluence
                                              • -
                                              • Familiarity with cloud technologies
                                              • -
                                              • Skills that would be an asset but not required: Practical experience/knowledge of Data Generation, Data Masking, Data sub setting, Data Archiving, Data Virtualization, Data modelling, Database Development
                                              • -
                                              -

                                              -

                                              Additional Information

                                              -
                                              -

                                              Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                              -

                                              Early Talent Requirements

                                              +
                                              + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                -
                                              • This position is a 4-month work term and will commence May 2nd – August 26th, 2022.
                                              • -
                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                              • -
                                              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                              • -
                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                              • +
                                              • Undergraduate degree or technical certificate
                                              • +
                                              • Five (5) or more years of relevant experience
                                              -

                                              Assigned Line of Business Requirements
                                              Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                              Hours

                                              37.5

                                              -

                                              Start Date

                                              -
                                              – Summer
                                              -

                                              Inclusiveness

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              -
                                              ",,https://jobs.td.com/en-CA/jobs/14652667/software-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-13T20:38:04.589Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/102506305-software-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652667/software-engineer-intern-co-op-toronto-ca/,expired,2022-01-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -b358aaa6-6246-441d-b778-2be30fd5a459,99197222,Ada,Senior Machine Learning Scientist (Remote),on_site,Toronto /,2021-12-16T04:57:03.731Z,"
                                              -
                                              -We’re Ada, a brand interaction platform that empowers brands to live up to their promises and have more—and more valuable—interactions with the people who love them. Our AI-powered platform has automated over 1 billion brand interactions for the world’s fastest growing enterprises, including Zoom, Facebook, and Shopify. We recently raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and we're officially a Canadian unicorn with a $1.2B valuation!
                                              -

                                              -
                                              -The passion of our people and dedication to their craft continues to drive our dramatic global growth.
                                              -

                                              -
                                              -Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment. You can learn more about the founding of our company here.
                                              -

                                              -
                                              -We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us. -
                                              -

                                              -
                                              -As Senior Machine Learning Scientist on our Machine Learning team, you will design, experiment, and deploy machine learning solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
                                              -

                                              -
                                              We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.
                                              -
                                              -

                                              About You

                                              -
                                                  -
                                                • 3+ years (or equivalent) experience as a Data Scientist/Machine Learning Developer/Engineer
                                                • -
                                                • Excellent understanding of ML. Preferably worked on NLP problems before but not required
                                                • -
                                                • Experienced in designing and tracking efficient and thorough data science experimentsHighly skilled in Python and Pytorch
                                                • -
                                                • Strong software and data engineering practices
                                                • -
                                              -
                                              -

                                              Outcomes

                                              -
                                                  -
                                                • Become an owner of Ada’s machine learning architecture and lead the improvement and maintenance of our ML technologies
                                                • -
                                                • Execute on our ambitious Machine Learning product roadmap through the implementation of features
                                                • -
                                                • Review the team’s code and experiments, provide insightful feedback, and teach everyone something new
                                                • -
                                                • Help identify areas of opportunity and innovation within our product
                                                • -
                                              -
                                              -
                                              #LI-FT
                                              -

                                              -
                                              Benefits
                                              -
                                              • Competitive salary and generous stock option plan
                                              -
                                              • Unlimited vacation
                                              -
                                              • Wellness account
                                              -
                                              • Extended health coverage
                                              -
                                              • Dental/optical/travel insurance
                                              -
                                              • Life insurance
                                              -
                                              • Employee and family assistance plan
                                              -

                                              -
                                              Perks
                                              -
                                              • Flexible work schedule
                                              -
                                              • Digital first, fully remote with WFH budget
                                              -
                                              • In-house social worker
                                              -
                                              • Paid parental leave for Canadian and U.S. residents
                                              -
                                              • Development opportunities
                                              -

                                              -
                                              About Us
                                              -
                                              -Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.
                                              -

                                              -
                                              -We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.
                                              -

                                              -
                                              -With the health and safety of Ada's employees, clients and communities top of mind, effective December 1st, 2021, Ada will be requiring anyone who is traveling for work and attending Ada events to be fully vaccinated at least 2 weeks prior to travel.
                                              -

                                              -
                                              Ada is an equal opportunity employer. In fact, diversity is what drives our success—it’s at the core of how we hire, communicate, and work. Like our platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
                                              -
                                              ",,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,feed-importer@jobboard.io,,,,2022-01-15T19:30:42.411Z,False,0,1,29,https://talenthub.vectorinstitute.ai/jobs/99197222-senior-machine-learning-scientist-remote-at-ada,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,expired,2021-12-16T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -d2f692c3-90cc-4430-ab4b-6b1555c9af4c,99151946,Borealis AI,Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2021-12-15T20:53:08.158Z,"

                                              What\'s the opportunity?

                                              -

                                              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                              -

                                              -

                                              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                              -

                                              Your responsibilities include:

                                              -
                                                -
                                              • Developing novel AI solutions that facilitate impactful products;
                                              • -
                                              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                              • -
                                              • Working with the development team to transfer research work into production;
                                              • -
                                              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                              • -
                                              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                              • -
                                              -

                                              You’re our ideal candidate if you have:

                                              -
                                                -
                                              • A passion for solving open problems using data and algorithms;
                                              • -
                                              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                              • -
                                              • Ability to formulate and drive a research project independently without close supervision;
                                              • -
                                              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                              • -
                                              • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                              • -
                                              • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                              • -
                                              -

                                              What’s in it for you?

                                              -
                                                -
                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                              • -
                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                              • -
                                              • Leaders who support your development through coaching and managing opportunities;
                                              • -
                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                              • +
                                              ",,https://jobs.td.com/en-CA/jobs/13987970/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-07T19:56:39.886Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/86819784-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13987970/data-scientist-i-toronto-ca/,expired,2021-10-04T17:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,College Diploma,New Posting, +12087ec6-7bd0-4b11-81de-8caa2451e3b9,86862160,Intact Financial Corporation,"Senior Data Scientist, Intact Lab (West)",on_site,"Toronto, ON, Canada",2021-10-05T04:39:18.092Z,"
                                              +

                                              Who needs insurance? Everybody. That keeps us busy. Very busy.

                                              At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                              Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                              Here, innovation is everyone's job. Ready to make your mark?


                                              +
                                              About the role
                                              +

                                              Hiring manager: Neil Shepherd

                                              At the Intact Lab, we’re driven by a purpose to help people and we value the opportunity to use data, AI and machine learning to solve real-life customer and business problems. While we believe AI is still in its infancy, we continue to lead our industry and aim to become the best insurance AI shop in the world.

                                              As a Senior Data Scientist with the Intact Lab, you'll thrive as a technical expert, thought leader, and teacher with our diverse and highly skilled team. You'll leverage your expertise and knowledge of trends in analytics to make recommendations that solve complex problems and promote best practices across the organization. With the support of a passionate team, you will help create real value for both customers and teammates. Enjoy a work experience that promotes work-life balance with one of North America’s recognized best employers.

                                              What you'll do here:

                                              • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                              • Transform complex databases into relevant conclusions and recommendations
                                              • Keep pace with new approaches and trends and use them in your own solutions
                                              • Help maintain our data mining tools and platforms
                                              • Make actionable recommendations based on the findings
                                              • Work with other departments to promote the adoption of analytical principles within the organization
                                              • Validate the quality of the analytical approach and project outputs of the other team members

                                              +
                                              Qualifications
                                              +

                                              What you bring to the table:

                                              • Your Master’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                              • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                              • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                              • Open-source frameworks: R, Python, GitHub
                                              • Expert-level understanding of the underlying theory of machine learning
                                              • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                              • Your enthusiasm for teamwork
                                              • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                              • Your strong communication, time management and work organization skills

                                              Here, innovation is everyone’s job and you’ll have the opportunity to make your mark. In return, we promise you the support, opportunities and flexibility to do you life’s best work and be your best self.

                                              Here are a few reasons why others have joined our team:

                                              • An award-winning, inspiring workplace that supports its people and recognizes great work
                                              • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                              • A comprehensive financial rewards program that recognizes your success
                                              • An extensive, flexible benefits package
                                              • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                              • A $350 annual wellness account that promotes an active lifestyle

                                              +
                                              Closing Statement
                                              +

                                              Flexible Work Arrangements

                                              Right now, we support 100% remote work, if your role permits. We anticipate that in November, we’ll be moving to a hybrid approach which gives us the best of both worlds – a mix of home and in-office workdays.

                                              We are an Equal Opportunity Employer

                                              At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                              If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                              Background Checks

                                              As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                              Internal Candidates

                                              For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                              Eligibility to Work in Canada

                                              It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                              +
                                              Referral Bonus
                                              +

                                              This role is eligible for employee referral bonus. #myReferrals3000


                                              +
                                              LinkedIn Sponsored
                                              +

                                              #LI-QuebecIT


                                              +
                                              ",,https://careers.intactfc.com/ca/en/job/123438/Senior-Data-Scientist-Intact-Lab-West?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-11-04T13:02:06.173Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/86862160-senior-data-scientist-intact-lab-west-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123438/Senior-Data-Scientist-Intact-Lab-West,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +e45819d1-ba9d-4265-8c65-6b64fa90360b,86862162,Intact Financial Corporation,"Senior IT Architect, Data and Analytics, Intact Lab",on_site,"Toronto, ON, Canada",2021-10-05T04:39:19.283Z,"
                                              +

                                              Who needs insurance? Everybody. That keeps us busy. Very busy.

                                              At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.

                                              Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.

                                              Here, innovation is everyone's job. Ready to make your mark?


                                              +
                                              About the role
                                              +

                                              Are you a Data and Analytics Solution specialist? Do you have Cloud Data experience? Do you like to solve large-scale complex data challenges? We are hiring a data and analytics solution architect to join us as we continue to grow our market leading data and analytics practice.

                                              Are you the right fit? Come join our team!

                                              Hiring Manager : Roy Lewis

                                              Workplace: Montreal (2020 Robert-Bourassa Blvd) or Toronto (700 University av.)

                                              Your contribution:

                                              • ​Be part of a high-profile team with a multitude of opportunities to deliver transformative data solutions to our business customers.
                                              • Continue to develop and evolve the Enterprise Data Platform architecture and integrations with our systems and market tools.
                                              • Collaborate with members of various technical teams to develop data architectures that address the needs of our customers.
                                              • Collaborate with Enterprise Architecture to ensure adherence to EA principles and guidelines.
                                              • Build and maintain conceptual, logical and physical data models for BI and analytical platforms.
                                              • Guide and mentor data modelers on data modeling standards, techniques, and tools
                                              • Contribute to the development and maintenance of the data architecture roadmap for BI and analytical platforms.
                                              • Ensure data architecture is aligned with our corporate vision and objectives.

                                              +
                                              Qualifications
                                              +

                                              You are:

                                              • Passionate about creating responsive and scalable data assets.
                                              • Able to thrive in a diverse team of Business Analysts, Data and Solution Architects and delivery teams.
                                              • Apply expertise and think creatively to find solutions to problems that can be complex and non-routine
                                              • Ensure adherence of the solution with all relevant internal standards and external regulations.
                                              • Able to take a business problem and turn it into a technological solution.
                                              • Comfortable working in complex and constantly changing environments, with multidisciplinary teams.
                                              • A very good communicator who excels at explaining your ideas.
                                              • Well organized, able to multi-task and manage priorities.

                                              You have:

                                              • A bachelor’s degree in information technology/software engineering or any equivalent combination of education and experience.
                                              • At least 5 years' experience in a Senior Data Architecture role.
                                              • Experience architecting data in the cloud.
                                              • Experience working in AWS, including S3, EC2, Lambda.
                                              • Experience working in Snowflake.
                                              • Experience in Data Vault
                                              • Experience migrating traditional on-prem EDW data assets to the cloud.
                                              • Experience working in Agile delivery.

                                              Will be considered as assets:

                                              • Bilingual
                                              • Knowledge of Cloud Lake House architectures
                                              • Certification in an Architecture Frameworks (TOGAF or similar)
                                              • Experience with the CGI RCDA architecture approach

                                              Here are a few reasons why others have joined our team :

                                              • An award-winning, inspiring workplace that supports its people and recognizes great work
                                              • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                              • Flexibility in how and where you work
                                              • A comprehensive financial rewards program that recognizes your success
                                              • An extensive, flexible benefits package
                                              • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                              • A casual ‘dress for your day’ culture that encourages you to be yourself
                                              • A $350 annual wellness account that promotes an active lifestyle

                                              +
                                              Closing Statement
                                              +

                                              We are an Equal Opportunity Employer

                                              At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                              If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                              Background Checks

                                              As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                              Internal Candidates

                                              For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                              Eligibility to Work in Canada

                                              It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                              +
                                              Referral Bonus
                                              +

                                              This role is eligible for employee referral bonus. #myReferrals1000


                                              +
                                              LinkedIn Sponsored
                                              +

                                              #LI-QuebecIT


                                              +
                                              ",,https://careers.intactfc.com/ca/en/job/123206/Senior-IT-Architect-Data-and-Analytics-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-10-15T04:51:22.300Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/86862162-senior-it-architect-data-and-analytics-intact-lab-at-intact-financial-corporation,https://careers.intactfc.com/ca/en/job/123206/Senior-IT-Architect-Data-and-Analytics-Intact-Lab,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f5e93ce4-acf8-4e3a-ac6d-e710a700ce5a,86862170,Air Canada,"Specialist, Digital Enablement (DevOps) - 26395",on_site,"Location: TORONTO, ON, Canada",2021-10-05T04:39:21.673Z,"
                                              • Develop, deliver and maintain applications as per desired technology architecture and business requirements while ensuring highest quality of end-products through introduction of new tools, technology and practices for evolution of processes & optimization of applications.
                                              • Automate the build and release of multiple projects by implementing automation tools and frameworks (CI/CD pipelines).
                                              • Maintain code branches along with integrations of code across multiple branches.
                                              • Configure complex installations and quickly resolve all defects or script issues found within the installation.
                                              • Collaborate with cross-functional teams to solve development constraints and deployment issues
                                              • Apply effective coding practices for error-free timely release.
                                              • Maintaining and updating technical documents and procedures accompanied by configuration and design of database models relative the requirements of the organization
                                              • Maintains data standard and security measures through the implementation of information technology plans, policies, and standards.
                                              • Create wireframes, storyboards, user flows, process flows and site maps to effectively communicate interaction and design ideas
                                              • Accountable and responsible to own a specific delivery area, with teams having similar or uniform skill sets
                                              • Ensure adherence to professional and technical standards by reviewing and benchmarking to latest and state-of-the-art practices.
                                              • Follow DevOps delivery model and recommend adjustments based on results, when needed by ensuring functionality of our installed products are up to date and supported.
                                              • Help implement guidelines, standards, and procedures and provide recommendations for improvements.
                                              • Understand the various application architectures and ensure development of supportable automation processes.
                                              • Coordinate with Architecture and Quality teams to ensure timely delivery of projects, features, bugfixes, and infrastructure improvements into multiple production environments
                                              • Lead and coordinate the go-live activities essential to the execution of the deployment plans/checklists
                                              -

                                              About Borealis AI

                                              -

                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                              -

                                              Inclusion and Equal Opportunity Employment

                                              -

                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                              ",,https://www.borealisai.com/en/careers/employment/5689096002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-01-15T19:20:15.733Z,False,0,2,46,https://talenthub.vectorinstitute.ai/jobs/99151946-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2021-12-15T20:53:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, -0d2c9080-452c-4374-a197-0471c6a18cb9,102936008,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-01-06T17:55:12.577Z,"
                                              -
                                              -
                                              -

                                              Referred applicants should not apply directly to this role.

                                              -

                                              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                              -

                                              -

                                              -

                                              Location:

                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                              -

                                              -

                                              Inspired by food? Committed to excellent service? So are we.
                                              At Loblaw, we are Food Lovers!
                                              We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                              We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                              Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                              -

                                              -

                                              Why is this role important?

                                              -

                                              -

                                              Why This Role is Important:

                                              -

                                              -

                                              Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                              -

                                              If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                              -

                                              The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                              +
                                              • Mandatory Covid-19 Vaccination Required as of October 31st 2021
                                              • 9-12 years of overall IT technology experience
                                              • 4+ years of DevOps or related experience with gradually increasing responsibilities and a demonstrated understanding of DevOps and technical quality control processes, artifacts and tools.
                                              • A relevant University degree/technical certification, and/or relevant experience commensurate to the role
                                              • AWS certification is preferred.
                                              • At least 2+ years AWS experience using a broad range of AWS technologies (e.g. EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch) to develop and maintain an Amazon AWS based cloud solution.
                                              • Experience with cloud-based monitoring logging, cost analysis tools
                                              • Solid experience as a DevOps Engineer, including automation experience with configuration management tools.
                                              • Strong scripting (e.g. Python) and automation skills.
                                              • Experience and proficiency with Linux system administration.
                                              • Experience with version control repositories like GIT
                                              • Knowledge of containerization tools (e.g. Docker)
                                              • Understanding network topologies and common network protocols and services.
                                              • Demonstrated experience working with Agile Ops/DevOps teams, including KPI development for efficiency tracking.
                                              • Effective and professional oral and written communication skills, interfacing with internal peers, upper management, and customers.
                                              • Team player and ability to function effectively in a fast paced, team-oriented work environment with a bias toward action.
                                              • Ability to understand and affect decisions strategically for the interest of Air Canada first and foremost
                                              • +
                                              ",,https://careers.aircanada.com/jobs/7345201-specialist-digital-enablement-devops,feed-importer@jobboard.io,,,,2021-10-08T04:44:10.403Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/86862170-specialist-digital-enablement-devops-26395-at-air-canada,https://careers.aircanada.com/jobs/7345201-specialist-digital-enablement-devops,expired,2021-10-05T04:39:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +6ba45a83-17de-4e97-b630-e799401485e1,87029159,Deep Genomics,Scientist - Computational Biology,temporary,"Toronto, ON, Canada",2021-10-06T17:50:52.025Z,"

                                              About Us
                                              We are a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, we bring together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                              About the role
                                              We are seeking a creative and talented Computational Biologist with an interest in using machine learning, large datasets and automation to revolutionize drug development. You will work regularly with and learn from our multilingual team of machine learning scientists, software engineers, computational biologists, molecular geneticists, and wet-lab scientists to help design oligonucleotide therapies.

                                              +

                                              +

                                              What you will do ?

                                              +
                                                  +
                                                • Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms.
                                                • +
                                                • Analyze high-throughput drug and sequencing data (e.g. RNA-seq, CLIP-seq, MPRAs, Perturb-seq) to help build machine learning models and design novel antisense oligonucleotides.
                                                • +
                                                • Apply machine learning models to design novel antisense oligonucleotides.
                                                • +
                                                • Interrogate how antisense oligonucleotides interact with regulatory mechanisms to achieve its effect.
                                                • +
                                                • Develop fast and accurate predictive workflows to support target validation and preclinical proof-of-concept for our oligonucleotide therapeutics.
                                                • +
                                              +

                                              What do you bring ?

                                              +
                                                  +
                                                • A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience
                                                • +
                                                • At least 2 years of experience with the development of novel algorithms/analysis pipelines for integrative analysis of genomics or other biological datasets.
                                                • +
                                                • Ability to design experiments, formulate hypotheses based on data, uncover causal mechanisms, and visualize data.
                                                • +
                                                • Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).
                                                • +
                                                • Proficient in Python or R.
                                                • +
                                                • You are a great communicator, highly organized and are willing to adapt to new situations quickly.
                                                • +
                                                • Comfort working with limited supervision in a fast-paced and rapidly growing work environment.
                                                • +
                                              +

                                              Nice to have:

                                              +
                                                  +
                                                • Post-graduate experience (postdoc or industry).
                                                • +
                                                • Experience with RNA biology or antisense oligonucleotides.
                                                • +
                                              +

                                              What we offer?

                                              +
                                                  +
                                                • A highly competitive salary and meaningful equity compensation (ESOPs).
                                                • +
                                                • A wide array of company-paid benefits.
                                                • +
                                                • Exceptional opportunities for learning and growth working alongside the world’s best team.
                                                • +
                                                • An opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology. +
                                                • +
                                              +

                                              Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.
                                              If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

                                              ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-11-11T17:51:00.000Z,True,1,0,53,https://talenthub.vectorinstitute.ai/jobs/87029159-scientist-computational-biology-at-deep-genomics,,expired,2021-10-06T17:50:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Associate,PhD,New Posting, +012492ce-edf8-478e-a30c-b2c888ffc7c7,87029198,Deep Genomics,Data Scientist - Biology,temporary,"Toronto, ON, Canada",2021-10-06T17:52:48.155Z,"

                                              About Us
                                              Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.

                                              About the role
                                              We are seeking a highly motivated data scientist (positions open in multiple groups) with strong programming and scripting skills to help us advance our therapeutic programs to the next level. The successful candidate will work in a multidisciplinary team of biologists and computational scientists, and take on tasks spanning analysis and visualization of experimental data, processing of genomics data, designing antisense oligonucleotide compounds, and supporting pre-clinical development programs. The ideal candidate would have a good understanding of molecular biology, human genetics, and statistics.

                                              +

                                              +

                                              What you'll do?

                                              +
                                                  +
                                                • Analyze high-throughput experiments to assess data quality and identify hits.
                                                • +
                                                • Build tools to streamline design of antisense oligonucleotide compounds.
                                                • +
                                                • Support pre-clinical development programs with computational analyses
                                                • +
                                              +

                                              What do you bring ?

                                              +
                                                  +
                                                • BSc in Computer Science, Statistics, Bioinformatics, or related fields and two years post-graduate experience, or MSc in the related fields.
                                                • +
                                                • Solid knowledge of Python, and some knowledge of R is desirable.
                                                • +
                                                • Solid statistics knowledge with ability to perform various statistical analyses independently.
                                                • +
                                                • Understanding of basic concepts in molecular biology and human genetics.
                                                • +
                                                • Comfort working in a fast-paced and rapidly growing work environment
                                                • +
                                              +

                                              What we offer ?

                                              +
                                                  +
                                                • A highly competitive salary and meaningful equity compensation (ESOPs).
                                                • +
                                                • A wide array of company-paid benefits.
                                                • +
                                                • Exceptional opportunities for learning and growth working alongside the world’s best team.
                                                • +
                                                • An opportunity to work alongside a bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology. +
                                                • +
                                              +

                                              Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.
                                              If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process

                                              ",adam.renkosinski@vectorinstitute.ai,,adam.renkosinski@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-11-11T17:52:00.000Z,True,7,0,83,https://talenthub.vectorinstitute.ai/jobs/87029198-data-scientist-biology-at-deep-genomics,,expired,2021-10-06T17:52:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Health,Entry Level,Bachelors Degree,New Posting, +43838a9b-af15-4706-aa1a-26872a611d19,87155889,Sun Life Financial,Lead Data Scientist/ Director - Actuarial Analytics,on_site,"Ontario, Canada",2021-10-07T06:32:13.974Z,"
                                              +
                                              +
                                              +

                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                              -

                                              What You'll Do:

                                              +

                                              +

                                              Job Description:

                                              +

                                              +

                                              Role Summary

                                              +

                                              +

                                              As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                              +

                                              +

                                              Reporting to the AVP, Innovation and Analytics, the Lead Data Scientist / Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will also provide intellectual leadership on the application of advanced analytics techniques to business problems and coach a high-performing team of analytics professionals.

                                              +

                                              +

                                              The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                              +

                                              +

                                              What will you do?

                                                -
                                              • Responsible for the extraction and analysis of complex information from a variety of databases.
                                              • -
                                              • Support initiatives to make business partners more self-sufficient.
                                              • -
                                              • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                              • -
                                              • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                              • -
                                              • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                              • -
                                              • Analyze data to help determine insights to solve business problems or identify new opportunities
                                              • -
                                              • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                              • -
                                              • Actively identify and execute initiatives to improve process and data infrastructure
                                              • -
                                              • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                              • -
                                              • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                              • -
                                              • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                              • -
                                              • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                              • +
                                              • Lead a team to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                              • +
                                              • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                              • +
                                              • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                              • +
                                              • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                              • +
                                              • Coach and grow a high-performing team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                              -

                                              What You'll Bring:

                                              +

                                              What do you need to succeed?

                                                -
                                              • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                              • -
                                              • Programming skills with SQL, Python, PySpark
                                              • -
                                              • In-depth knowledge of predictive modelling, machine learning modelling
                                              • -
                                              • Experience in utilizing advanced SQL data extraction and manipulation tools
                                              • -
                                              • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                              • -
                                              • Retail analytics experience with a marketing focus preferred
                                              • -
                                              • In-depth knowledge of pattern recognition models is an asset.
                                              • -
                                              • Data mining experience working with a large relational customer database
                                              • -
                                              • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                              • -
                                              • Ability to take initiative, multi-task and work in a fast-paced environment
                                              • -
                                              • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                              • -
                                              • Strong detail orientation is essential in this role
                                              • -
                                              • A team player and self-starter
                                              • -
                                              • Advanced MS Office skills (Excel, Word)
                                              • +
                                              • Genuine interest in life insurance and learning the business

                                              • +
                                              • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                              • +
                                              • 7+ years of industry experience and expert knowledge in machine learning and data science, with hands-on experience building and deploying statistical / machine learning models

                                              • +
                                              • 3+ years experience leading data science projects

                                              • +
                                              • 3+ years experience in managing and leading a small team of data scientists

                                              • +
                                              • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                              • +
                                              • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                              -

                                              COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                              -

                                              -

                                              In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                              +

                                              What will be nice to have?

                                              +
                                                +
                                              • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                              • +
                                              • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                              • +
                                              • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                              • +
                                              • Experience with data analytics and data visualization best practices

                                              • +

                                              +

                                              What’s in it for you?

                                              +
                                                +
                                              • Competitive salary and bonus structure influenced by market range data

                                              • +
                                              • 20 days vacation per year and an innovative sabbatical program

                                              • +
                                              • A friendly, collaborative and inclusive culture

                                              • +
                                              • Being part of our Analytics community, where we share best practices and broaden skill sets

                                              • +
                                              • Flexible Benefits from the day you join to meet the needs of you and your family

                                              • +
                                              • Pension, stock and savings programs to help build and enhance your future financial security

                                              • +
                                              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                              • +

                                              -

                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                              +

                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                              +

                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                              +

                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                              -

                                              Employment Type:

                                              Full time

                                              +

                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                              -

                                              Type of Role:

                                              Regular

                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                              +

                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                              -

                                              Please Note:  
                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                              -
                                              -
                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-17T18:00:04.132Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/102936008-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-01-06T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -02e4080c-7ccb-43c5-80bf-653adca65fb6,104061892,TELUS,Data Scientist - Data Analytics,on_site,"Ontario, Canada",2022-01-14T07:19:06.820Z,"
                                              -
                                              -

                                              -
                                              -

                                              Join our team

                                              -

                                              -

                                              Our Team – TELUS Business Solutions Marketing BI - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.

                                              -

                                              -

                                              Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

                                              -

                                              -

                                              Here’s the impact you’ll make and what we’ll accomplish together

                                              -

                                              -

                                              As a Data Scientist in the team, you will be working with Business Stakeholders and the campaign team to identify use cases, build machine learning models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

                                              -

                                              -

                                              Here’s how

                                              -

                                              +

                                              Salary Range:

                                              104,000/104 000 - 171,700/171 700

                                              +

                                              Job Category:

                                              Advanced Analytics

                                              +

                                              Posting End Date:

                                              17/10/2021
                                              +
                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-10-18T06:37:13.333Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/87155889-lead-data-scientist-director-actuarial-analytics-at-sun-life-financial,,expired,2021-10-07T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +9985f684-5eb2-4083-a414-798f33338d55,87218209,BMO Financial Group,"Product Analyst, Jan 2022 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON M8X 1C4, Canada",2021-10-07T10:50:05.834Z,"
                                              +

                                              Address:

                                              55 Bloor Street West

                                              +

                                              +

                                              Job Family Group:

                                              Data Analytics & Reporting

                                              +

                                              +

                                              As a co-op/intern at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                              +


                                              Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Enterprise Resource Groups to further develop your network within BMO.

                                              +

                                              +

                                              Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                              +

                                              +

                                              Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                              +

                                              +

                                              +

                                              Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                -
                                              • You will build pipelines to bring data required to support the use case
                                              • -
                                              • You will develop new machine learning models to enable intelligent campaigns
                                              • -
                                              • You will productionalize machine learning models and automate processes
                                              • -
                                              • Collaborate with business stakeholders to enable new use cases for TELUS Business
                                              • -
                                              • Effectively communicate with leadership and stakeholders in explaining the model and outcomes
                                              • +
                                              • Builds effective relationships with internal/external stakeholders.
                                              • +
                                              • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                              • +
                                              • Designs, develops, and implements innovative analytical solutions.
                                              • +
                                              • Designs and produces regular and ad-hoc reports, and dashboards.
                                              • +
                                              • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                              • +
                                              • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                              • +
                                              • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                              • +
                                              • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                              • +
                                              • Designs, develops, and implements innovative analytical solutions.
                                              • +
                                              • Designs and produces regular and ad-hoc reports, and dashboards.
                                              • +
                                              • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                              • +
                                              • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                              • +
                                              • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                              • +
                                              • Analyzes data and information to provide subject-matter insights and recommendations.
                                              • +
                                              • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                              • +
                                              • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                              • +
                                              • Builds effective relationships with internal/external stakeholders.
                                              • +
                                              • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                              • +
                                              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                              • +
                                              • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                              • +
                                              • Works independently on a range of complex tasks, which may include unique situations.
                                              • +
                                              • Broader work or accountabilities may be assigned as needed.

                                                Qualifications:

                                                +
                                              • +
                                              • As a full-time employee, we would require 4-6 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.

                                              • +
                                              • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                              • +
                                              • Technical proficiency gained through education and/or business experience.
                                              • +
                                              • Verbal & written communication skills - In-depth.
                                              • +
                                              • Collaboration & team skills - In-depth.
                                              • +
                                              • Analytical and problem solving skills - In-depth.
                                              • +
                                              • Influence skills - In-depth.
                                              • +
                                              • Data driven decision making - In-depth.
                                              -
                                              -
                                              -
                                              -

                                              -
                                              +

                                              +

                                              +

                                              We’re here to help

                                              -

                                              You’re the missing piece of the puzzle

                                              -

                                              +

                                              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                              +

                                              +

                                              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                              +

                                              +

                                              To find out more visit us at https://jobs.bmo.com/ca/en.

                                              +

                                              +

                                              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                              +
                                              ",,https://jobs.bmo.com/ca/en/job/R210023698/Product-Analyst-Jan-2022-Co-op-Internship-4-Months,info@bmocareers.com,https://bmocareers.com/,,,2021-10-21T10:55:17.662Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/87218209-product-analyst-jan-2022-co-op-internship-4-months-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210023698/Product-Analyst-Jan-2022-Co-op-Internship-4-Months,expired,2021-10-07T10:50:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +50d753b6-53a8-4142-a315-7ea67a3a98b4,87293593,Layer 6,Sr. DevOps Engineer,on_site,"Toronto, ON, Canada",2021-10-07T21:30:40.766Z,"

                                              You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                              +

                                              We are looking for world-class devops engineers and problem solvers.
                                              You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                              +

                                              Job Requirements

                                              +

                                              Must-Have:

                                                -
                                              • You have experience leading large scale projects and partnering with multiple stakeholders
                                              • -
                                              • You can manage ambiguity and change with a learning and growth mindset
                                              • -
                                              • You love digging into quantitative and qualitative data
                                              • -
                                              • You have experience working with customer data, building recommendation engines, personalized offer management, lifetime value and propensity modeling
                                              • -
                                              • You have experience in building machine learning algorithms
                                              • -
                                              • You have worked with R/Python, SQL, spark, big data technologies or cloud
                                              • -
                                              • You have data engineering experience and ability to extract data from various sources
                                              • -
                                              • You have 5+ years of experience in a similar role and/or related education with demonstrated performance
                                              • +
                                              • 5+ years of experience building sophisticated and automated production infrastructure
                                              • +
                                              • Solid Azure or AWS experience
                                              • +
                                              • Extensive experience with Kubernetes, docker and container orchestration
                                              • +
                                              • Experience with Saltstack or other configuration management
                                              • +
                                              • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                                              • +
                                              • Experience with managing CI/CD tools and pipelines
                                              • +
                                              • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                                              • +
                                              • Experience with Git, Jenkins and Elasticsearch
                                              • +
                                              • Strong verbal and written communication skills, with the ability to work effectively across teams
                                              • +
                                              • BA/BS degree or equivalent experience; Computer Science background preferred
                                              -

                                              -

                                              Great to haves

                                              -

                                              +

                                              Nice-to-Have:

                                                -
                                              • Prior telecommunications or B2B marketing experience
                                              • -
                                              • Experience with Cloud / Salesforce technologies
                                              • +
                                              • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                                              • +
                                              • Familiarity with monitoring tools
                                              • +
                                              • Experience with automated testing tools
                                              • +
                                              • Experience troubleshooting and tuning systems performance
                                              • +
                                              • Knowledge of Java
                                              -
                                              -
                                              -
                                              ",,https://careers.telus.com/job/Vancouver-Data-Scientist-Data-Analytics-Brit/551845117/,feed-importer@jobboard.io,,,,2022-01-17T17:30:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/104061892-data-scientist-data-analytics-at-telus,,expired,2022-01-14T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -27da28ab-e12f-4afd-b8cc-3f3dd005a462,46399386,RBC,"Data Analyst, Corporate Client Group",on_site,"Vancouver or Toronto, British Columbia, Canada",2021-01-07T06:17:03.659Z,"
                                              -

                                              Please note: The ideal candidate will be based out of our Toronto or Vancouver Office

                                              -

                                              -

                                              What is the opportunity?

                                              -

                                              This technical role is part of Corporate Client Group (CCG) National Operation’s Business Intelligence team who delivers and maintains CCG’s management information systems, creates meaningful data visualizations and improves reporting processes. You require critical thinking, strong technical skills, effective project management and great attention to detail to ensure success in this role. RBC CCG National Operations supports CCG planning, directing, and overseeing their operational policies, rules, initiatives, and goals. The CCG team is responsible for meeting annually established targets for revenues and returns, providing advice to our partners along with broader RBC relationship goals, while the National Operations team helps & supports the group execute long-term and short-term plans.

                                              -

                                              -

                                              What will you do?

                                              +

                                              Benefits:

                                                -
                                              • Work cohesively with CCG’s Business Intelligence team to build and maintain robust databases in SQL Server and MS Access
                                              • -
                                              • Support all CCG teams nationally and senior management to provide data and analytics solutions that support data driven decisions
                                              • -
                                              • Utilize VBA, SQL and other programming languages to make database and reporting processes more efficient and reduce time spent
                                              • -
                                              • Analyze large amounts of data; create ad-hoc and periodic reporting that are accurate and timely; and document and diagram key system and data management processes
                                              • -
                                              • Build meaningful data visualizations in Tableau and Excel for performance reporting
                                              • -
                                              • Perform database administrative duties including database maintenance, manage ETL processes, data cleanups and proactively monitor data quality
                                              • -
                                              -

                                              -

                                              What do you need to succeed?

                                              -

                                              Must have:

                                              +
                                            • Entrepreneurial and learning culture
                                            • +
                                            • Excellent health coverage and pension plan
                                            • +
                                            • Four weeks paid vacation
                                            • +
                                            • Catered lunches twice a week over machine learning talks
                                            • +",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-11-06T21:30:00.000Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/87293593-sr-devops-engineer-at-layer-6,,expired,2021-10-07T21:30:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,New Posting, +b81e5f4f-9206-4b48-862c-33daa8a387be,87394469,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2021-10-08T19:51:15.819Z,"
                                              +

                                              Company Overview

                                              +
                                              +

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              +

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              +
                                              +

                                              +

                                              Department Overview

                                              +

                                              It is our People who make the difference in the dynamic and diversified businesses of Personal Banking. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                              +

                                              +

                                              Job Description

                                              +
                                              +

                                              Reporting directly to the Manager, Business Insight Analytics, Partnerships & Cobrands, the Senior Business Insights Analyst, will provide analytics capacity and work directly with our Credit Card business partners to develop and implement best-in-class analytical solutions and help make analytics a competitive advantage for TD.

                                              +

                                              The individual will work in close consultation with the Credit Card Air Canada Partnership & MBNA Co-Brand leaders, as well as Credit Card, data, and analytics teams across Personal Banking. We are looking for a self-motivated individual who wants to work in a fast paced and high impact business team.

                                              +

                                              Key Accountabilities:

                                              +
                                                +
                                              • Collaborate with product managers, product analysts & business insights analysts to deliver high quality, analytically sound and actionable insights
                                              • +
                                              • Create value by developing and leveraging analytical solutions to resolve business problems
                                              • +
                                              • Support business development in anticipation of, and response to, RFPs by leveraging a deep knowledge of our products in alignment with stakeholders’ priorities
                                              • +
                                              • Be a part of a highly interactive, team-oriented environment and be able to effectively translate complex analytical concepts to executive and business sponsors
                                              • +
                                              • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                              • +
                                              • Present insights to business partners with a focus on clear, concise and effective data visualization to communicate recommendations and drive strategic decision making
                                              • +
                                              • Act as mentor to other team analysts providing analytical technical & business know-how support
                                              • +
                                              • Build strong relationships with product and risk partners and other key internal and external partners
                                              • +
                                              • Build understanding of big data and advanced analytics capability within Personal Banking – leveraging enterprise Centre of Excellence and determine how to apply to Personal Banking
                                              • +
                                              +
                                              +

                                              +

                                              Requirements

                                              +
                                              +Knowledge & Skills Required:

                                              +
                                                +
                                              • Analytical thinker with proven record of delivering business impact and results through developing and executing on innovative analytics solutions
                                              • +
                                              • Business analysis skills and credit card knowledge that result in providing meaningful insights for sound decision-making, and to build strategic initiatives and planning
                                              • +
                                              • Ability to use analytics to develop detailed business cases and explain business value of projects
                                              • +
                                              • Strong problem-solving skills, with a history of using data to understand what and why things are happening
                                              • +
                                              • Flexibility to adapt and to shift focus as dynamic business needs evolve
                                              • +
                                              • Excellent communication and presentation skills; able to translate complex problems and solutions into a simple story, tailored to executive audiences
                                              • +
                                              • Passion for analytics and a customer-driven mindset
                                              • +
                                              • Strong business acumen and rigorous problem-solving skills
                                              • +
                                              • Experience working in both a technical and business context
                                              • +
                                              • Understanding of test and experimental design (Test and Learn)
                                              • +
                                              • Strong analytic skills, including statistical and segmentation analysis; data analysis and insight development
                                              • +
                                              • Understanding of when to use traditional vs big data solutions.
                                              • +
                                              • Credit card experience preferred
                                              • +
                                              +

                                              Experience/Qualifications:

                                              +
                                                +
                                              • Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                              • +
                                              • 3-5 years of relevant experience in analytics, and/or data science
                                              • +
                                              • History of delivering business impact and results by leveraging strong analytical and problem-solving skills
                                              • +
                                              • Strong knowledge of analytical tools such as SQL, Python, and Tableau, and MS Office applications such as Excel and Power Point
                                              • +
                                              • Working knowledge of general banking / consumer finance products, policies and operations.
                                              • +
                                              • Credit card experience an asset
                                              • +
                                              +
                                              +

                                              +

                                              Hours

                                              +
                                              37.5
                                              +

                                              +

                                              Inclusiveness

                                              +

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              +

                                              +
                                              ",,https://jobs.td.com/en-CA/jobs/13475571/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-18T20:42:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/87394469-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13475571/senior-business-insights-analyst-toronto-ca/,expired,2021-10-08T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +871bd4ec-600c-4513-8403-3ddc1082fb55,87394478,TD Bank Group,"Manager, Advanced Analytics (Quants)",on_site,"Toronto, ON",2021-10-08T19:51:16.888Z,"
                                              +

                                              Company Overview

                                              +
                                              +

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              +

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              +
                                              +

                                              +

                                              Department Overview

                                              +
                                              +

                                              +
                                              The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Retail model validation team within MV is responsible for the validation and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail products, as well as to review, validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.
                                              +

                                              Lead a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through advanced analytics.
                                              Manage the overall Advanced Analytics team or function for a key business which may include Data Modellers and/or Data Scientist roles. May also oversee the development of statistical models, data mining and analytic solutions.

                                              +
                                              +

                                              +

                                              Job Description

                                              +
                                              The position reports to Senior Manager, Model Validation

                                                -
                                              • Undergraduate or equivalent degree in Computer Science, Computer Engineering or Management Information Systems with knowledge and experience in database and data management principals
                                              • -
                                              • Minimum of 2 years of professional work experience in a business intelligence, data analytics, or data warehousing
                                              • -
                                              • Professional verbal and written communication skills
                                              • -
                                              • Intermediate knowledge and experience with Tableau or other data visualization tools, as well as, advanced level of MS Office (with a focus on Excel and Access), SQL and VBA
                                              • -
                                              • Ability to solve problems through creativity and critical thinking, strong analytical skills and attention to detail
                                              • -
                                              • Proven capabilities in effective management of tasks and delivering high quality work while performing well under pressure, meeting time sensitive deadlines, and prioritizing work
                                              • +
                                              • Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for computing credit risk, and Economic and Regulatory Capital (e.g. Probability of Default, Exposure at Default, Loss Given Default), conducting stress testing (EWST/MST) and allowance estimation (IFRS 9 accounting standards).
                                              • +
                                              • Develop independent benchmarks for use in the validation of the above listed models. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
                                              • +
                                              • Prepare detailed model validation reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model limitations noted.
                                              • +
                                              • Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
                                              • +
                                              • Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
                                              • +
                                              • Stay current in knowledge of credit risk management methodologies, predictive modeling and statistical analysis.
                                              -

                                              -

                                              Nice to have:

                                              +
                                              +

                                              +

                                              Requirements

                                              +
                                              +

                                              Requirements and/or qualifications:

                                                -
                                              • Database development experience especially in SQL Server
                                              • -
                                              • Database Administration Experience
                                              • -
                                              • Python, C programming, Java
                                              • +
                                              • Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
                                              • +
                                              • Experience with predictive model development and/or statistical scorecard modeling
                                              • +
                                              • Hands-on experience with SAS and/or other sophisticated statistical model development tools (such as Python, R) is a must
                                              • +
                                              • Knowledge in retail banking products, customer behaviours, and credit adjudication systems is a definite asset
                                              • +
                                              • Excellent verbal and written communication skills
                                              • +
                                              • Proven ability to manage and work within a diverse group of professionals;
                                              • +
                                              • Strong interpersonal and leadership skills to lead other team members and facilitate working with key counterparties
                                              • +
                                              • Good time management and multitasking skills
                                              • +
                                              • Quick learner who grasps new concepts and techniques quickly
                                              • +
                                              • Must be a good team player
                                              -

                                              -

                                              What’s in it for you?

                                              -

                                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                              +

                                              Specific Educational Requirements / Accreditations:

                                                -
                                              • Learn and develop new technical skills in a team that supports creativity and thinking outside of the box
                                              • -
                                              • Improve organizational skills including business analysis, project coordination and effective communication
                                              • -
                                              • Exposure to fast paced high performing teams and senior management
                                              • -
                                              • Work in a dynamic and collaborative organization that supports personal and professional growth
                                              • -
                                              • Opportunities to learn and grow through challenging work
                                              • -
                                              • Being part of a great organization that values inclusion and diversity
                                              • +
                                              • Graduate degree in Statistics, Actuarial Sciences, Econometrics, Computer Science or other related fields.
                                              • +
                                              • Previous experience with TD retail products or modelling would be a great asset.
                                              -

                                              -

                                              -

                                              -

                                              Join our Talent Community
                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                              JOB SUMMARY
                                              City: Vancouver or Toronto
                                              Address: TBC
                                              Work Hours/Week: 37.5
                                              Work Environment: Office
                                              Employment Type: Permanent
                                              Career Level: Experienced Hire/Professional
                                              Pay Type: Salaried
                                              Required Travel (%): 0-25
                                              Exempt/Non-Exempt: N/A
                                              People Manager: No
                                              Application Deadline: 01/15/2021
                                              Platform: Personal & Commercial Banking

                                              Req ID: 307036
                                              Ad Code(s):

                                              -

                                              -

                                              -
                                              ",,https://jobs.rbc.com/ca/en/job/307036/Data-Analyst-Corporate-Client-Group,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-14T06:25:15.959Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/46399386-data-analyst-corporate-client-group-at-rbc,https://jobs.rbc.com/ca/en/job/307036/Data-Analyst-Corporate-Client-Group,expired,2021-01-07T06:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d42e09f8-213e-43fa-bac4-2ec5133070e8,46399760,Intact Financial Corporation,"Senior Data Scientist (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-01-07T06:17:38.868Z,"
                                              -

                                              #IntactCareers

                                              How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                              With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                              Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.


                                              -
                                              Your Job
                                              -

                                              Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                              Workplace: Toronto (700 University av.)

                                              Here are a few ways you will make a difference:

                                              • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                              • Transform complex databases into relevant conclusions and recommendations
                                              • Keep pace with new approaches and trends and use them in your own solutions
                                              • Help maintain our data mining tools and platforms
                                              • Make actionable recommendations based on the findings
                                              • Work with other departments to promote the adoption of analytical principles within the organization
                                              • Validate the quality of the analytical approach and project outputs of the other team members
                                              • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions

                                              -
                                              Your Skills
                                              -

                                              We can offer you:

                                              • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                              • Opportunities to have global impact with your work
                                              • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                              • A team of great colleagues to learn with and from
                                              • Continuous learning
                                              • Flexible and friendly working environment

                                              Here’s what you offer us:

                                              • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                              • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                              • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                                • Open-source frameworks: R, Python, GitHub
                                              • Expert-level understanding of the underlying theory of machine learning
                                              • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                              • Your great teamworking skills
                                              • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                              • Your strong communication, time management and work organization skills

                                              Here are a few reasons why others have joined our team:

                                              • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                              • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                              • Flexibility in how and where you work
                                              • A comprehensive financial rewards program that recognizes your success
                                              • An extensive, flexible benefits package
                                              • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                              • A casual ‘dress for your day’ culture that encourages you to be yourself
                                              • A $350 annual wellness account that promotes an active lifestyle

                                              -
                                              Closing Statement
                                              -

                                              We are an Equal Opportunity Employer

                                              At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                              If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                              Background Checks

                                              As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                              Internal Candidates

                                              For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                              Eligibility to Work in Canada

                                              It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                              -
                                              Referral Bonus
                                              -

                                              This role is eligible for employee referral bonus. #myReferrals3000


                                              -
                                              ",,https://careers.intact.ca/ca/en/job/IFCOUS14020/Senior-Data-Scientist-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-01-18T07:24:13.792Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/46399760-senior-data-scientist-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14020/Senior-Data-Scientist-Toronto-Intact-Lab,expired,2021-01-07T06:17:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7483b4d0-bdd0-4065-ba0a-e702d80c2620,46895522,RBC,"Director, Data Science",on_site,"Toronto, Ontario, Canada",2021-01-11T06:17:37.937Z,"
                                              -

                                              What is the opportunity?

                                              -

                                              As Director, Data Science you will help create the advanced analytics strategy including statistical analysis, machine learning and deep learning. This role will work cross-functionally across the rest of the data management group and I&TS organizations to help deliver value through advanced analytics and modeling to help drive better data driven decisions.

                                              -

                                              -

                                              What will you do?

                                              +
                                              +

                                              +

                                              Hours

                                              +
                                              37.5
                                              +

                                              +

                                              Inclusiveness

                                              +

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              +

                                              +
                                              ",,https://jobs.td.com/en-CA/jobs/13723132/manager-advanced-analytics-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-21T19:10:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/87394478-manager-advanced-analytics-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13723132/manager-advanced-analytics-quants-toronto-ca/,expired,2021-10-08T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +ec46efeb-f68a-4bcb-b625-1f2803bca56c,87400714,Manulife,Data Science Engineer,on_site,"Toronto, ON, Canada",2021-10-08T21:38:21.726Z,"
                                              +
                                              +
                                              +

                                              Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                              +

                                              +

                                              Job Description

                                              +

                                              +

                                              This data science engineer has accountability as a data domain subject matter expert, building automated capabilities and data products to accelerate advanced analytics. The data science engineer is responsible for designing and building business interpretable and performant analytics solutions. The data science engineer builds re-usable and modular, self-service capabilities to continuously increase the capacity of the advanced analytics team. The data science engineer leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics and technology topics. The data science engineer helps others to improve their knowledge and understanding of the use of data and technology.

                                              +

                                              +

                                              Responsibilities:

                                                -
                                              • Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
                                              • -
                                              • Deliver and bring to production models and tools that will analyze and automate data across the pipeline to bring AI assisted decision making to stakeholders and self healing solution
                                              • -
                                              • Lead the data science practice and use industry tools and practices including predictive advance analytics, machine learning, anomoly detection, text mining, natural language processing, cognitive computing, sentiment analytics, and other common AI methodologies.
                                              • -
                                              • Assist in the development of an analytic strategy and lead the implementation, including tool selection while leading analytical labs with supervised, semi-supervised and unsupervised machine learning frameworks
                                              • -
                                              • Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R
                                              • -
                                              • Work with the reporting team to report on metrics while working with the larger department to innovate new analytic solutions while automating existing ones
                                              • -
                                              • Promote analytics across the enterprise to enable RBC to become a data-driven organization.
                                              • -
                                              • Identify, monitor, & mitigate cross-project or cross-program dependencies while managing relationships, anticipating / mitigating risks, facilitating communications and lead projects in an agile fashion
                                              • -
                                              • Lead team of data analysts/scientists to actively work on solving business problems and delivering value
                                              • -
                                              • Engage sponsoring executives and project team members establishing trusted partnerships to ensure deliveries within scope, budget, and timelines.
                                              • -
                                              • Balance collaboration and consensus with ability to assert project management discipline where required while being the seasoned practitioner in leading project teams through fast and complex pace of projects.
                                              • +
                                              • Provide data subject matter expertise
                                              • +
                                              • Responsible for understanding the systems & data environment.
                                              • +
                                              • Research, explore, and tinker with new data design ideas and related technologies.
                                              • +
                                              • Collaborate with internal/external data experts.
                                              • +
                                              • Research & leverage technical documentation to gain a holistic understanding of the data domain.
                                              • +
                                              • Support Analytics projects
                                              • +
                                              • Work with data scientists to transform business requests into value-add data products and capabilities.
                                              • +
                                              • Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.
                                              • +
                                              • Assist in the development the conceptual/logical data models or semantic layers with appropriate business contexts.
                                              • +
                                              • Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.
                                              • +
                                              • Tactical support of data access, understanding, engineering, visualization, and decision making.
                                              • +
                                              • Elevate data and analytics skills in the business
                                              • +
                                              • Help people in the business better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc.
                                              • +
                                              • Identifying and guiding natural data champions in the business to enhance the profitable use of data.
                                              • +
                                              • Learn salient business concepts from data champions and enable them to creatively use data technologies.
                                              -

                                              -

                                              What do you need to succeed?

                                              -

                                              Must-have

                                              +

                                              +

                                              Qualifications:

                                                -
                                              • A PhD or Masters in Engineering, Computer Science, Statistical modeling or similar
                                              • -
                                              • Minimum 10+ years in a data or analytics-focused role with 5 yrs in technology and infrastructure
                                              • -
                                              • Experience with state-of-art analysis techniques and measurement tools to continuously build valuable insights and business recommendations
                                              • -
                                              • Effective programming / query skills and in-depth knowledge of common data manipulation, visualization and analytical tools (e.g. Tableau, Elastic, Python, R etc)
                                              • -
                                              • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined
                                              • -
                                              • Analytical, insights driven with the ability to help the organization to leverage data driven decisions
                                              • -
                                              • Strategic with strong change management, continuous improvement and transformation skills
                                              • +
                                              • University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering).
                                              • +
                                              • Advanced experience with databases.
                                              • +
                                              • Advanced Experience in Python, SQL, Spark, C#, etc.
                                              • +
                                              • Advanced Experience in automating data pipelines and working with data transformation tools.
                                              • +
                                              • Advanced experience working with internal business contacts to develop analytical reports.
                                              • +
                                              • Experience providing data analysis to support management decisions.
                                              • +
                                              • General knowledge of data analytics theory & application.
                                              • +
                                              • Experience with analytics tools and visualization tools a plus.
                                              • +
                                              • Experience with cloud technologies and Data as a Service (DaaS) a plus.
                                              -

                                              Nice-to-have

                                              -
                                                -
                                              • 5+ years of project management experience in cross functional settings
                                              • -
                                              • Experience in financial services
                                              • -
                                              • Engineering/Math background with a focus on statistics and/or analytics
                                              • +

                                                +

                                                +

                                                +

                                                Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                                +

                                                +

                                                About John Hancock and Manulife

                                                +

                                                +

                                                John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                                +

                                                +

                                                One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                                +

                                                +

                                                Manulife is an Equal Opportunity Employer

                                                +

                                                +

                                                At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                                +

                                                +

                                                It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                                +
                                              +
                                              ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Toronto-Ontario/Data-Science-Engineer_JobReq0431535-1,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-10-25T20:48:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/87400714-data-science-engineer-at-manulife,,expired,2021-10-08T21:38:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +aaccc5f6-c73c-4b07-a4ec-287221777cd4,87464330,Deloitte,"MDM Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-10-09T02:40:38.915Z,"

                                              Job Type: Permanent
                                              Primary Location: Toronto, Ontario, Canada
                                              All Available Locations: Toronto; Calgary; Montreal

                                              +

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Partner with clients to solve their most complex problems
                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                              +
                                              +
                                              +

                                              +

                                              You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                              +
                                              +
                                              +

                                              What will your typical day look like?

                                              +
                                              +

                                              As an MDM Manager on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in data management solutions including big data, data integration, data conversion, master data/reference data management, data governance, data quality and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                              +

                                              +

                                              In this role, you will actively participate, define and implement multi-domain (i.e. customer, supplier, equipment, product, parts, materials, locations, etc) Master Data Management solutions as well as data conversion approaches to enable ERP and Asset Management modernization. You will also define and implement master data frameworks, spanning metadata management, data quality management, reference data management, data management policies and operating models as well as actively participate in the development of data integration solutions, including data source mapping, data integration, conversion and data modeling.

                                              +
                                              +
                                              +
                                              +

                                              About the team

                                              +
                                              +

                                              Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                              +

                                              Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                              +
                                              +
                                              +
                                              +

                                              Enough about us, let’s talk about you

                                              +
                                              +

                                              You are someone with:

                                              +
                                              • 7+ years’ experience in implementing multi-domain Master Data Management and Data Governance solutions, either as stand-alone programs or integrated into larger transformational ERP programs using Informatica MDM, SAP MDG, IBM MDM, Stibo and/or similar technologies.
                                              • 5+ years’ experience with analysis, design, development, testing and deployment of data integration capabilities using leading integration platforms like Informatica, Mulesoft, IBM Data Stage, SAP Data Services and/or other comparable data integration technologies
                                              • 2+ years’ experience with data mapping, data conversion and data profiling
                                              • Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
                                              • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related fields.
                                              • Certifications in Azure (Data Factory, Data Bricks), AWS (Glue, RedShift), Informatica and/or GCP (BigQuery) and Cloud data integration technologies is highly desirable
                                              -

                                              -

                                              What’s in it for you?

                                              -

                                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                              -
                                                -
                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                              • -
                                              • Leaders who support your development through coaching and managing opportunities
                                              • -
                                              • Ability to make a difference and lasting impact
                                              • -
                                              • Work in a dynamic, collaborative, progressive, and high-performing team
                                              • -
                                              • A world-class training program in financial services
                                              • -
                                              • Opportunities to do challenging work
                                              • -
                                              • Opportunities to take on progressively greater accountabilities
                                              • +
                                              +
                                              +
                                              +

                                              Why Deloitte?

                                              +

                                              Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                              +
                                              • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                              • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                              • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                              +


                                              The next step is yours

                                              +

                                              Sound like The One Firm. For You?

                                              +

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              +

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              +

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                              ",,https://careers.deloitte.ca/job/Toronto-MDM-Manager%2C-Omnia-AI-ON-M5C-3G7/734632800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-11-11T16:28:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/87464330-mdm-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-MDM-Manager%2C-Omnia-AI-ON-M5C-3G7/734632800/,expired,2021-10-09T02:40:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +bc53d184-7d8f-4835-b467-3213433e7d3e,87464350,Deloitte,"Software Engineer (Collibra), Omnia AI",on_site,"Toronto, Ontario, Canada",2021-10-09T02:40:42.236Z,"

                                              Job Type: Permanent
                                              Primary Location: Toronto, Ontario, Canada
                                              All Available Locations: Toronto; Calgary; Montreal

                                              +

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Be encouraged to deepen your technical skills…whatever those may be.
                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                              +
                                              +
                                              +

                                              +

                                              Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                              +
                                              +
                                              +
                                              +

                                              What will your typical day look like?

                                              -

                                              JOB SUMMARY
                                              City: Toronto
                                              Address: 330 Front St. West
                                              Work Hours/Week: 37.5
                                              Work Environment: Office
                                              Employment Type: Permanent
                                              Career Level: Senior Manager/Director
                                              Pay Type: Salaried
                                              Position Level: PL06
                                              Required Travel(%): 0
                                              Exempt/Non-Exempt: N/A
                                              People Manager: Yes
                                              Application Deadline: 01/21/2021
                                              Req ID: 290960

                                              +
                                              +

                                              As a Software Engineer (Collibra), Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                              +
                                              +
                                              +
                                              +

                                              About the team

                                              +
                                              +
                                              +

                                              As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                              +
                                              • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                              • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, No-SQL solutions etc.
                                              • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                              • Deploy and integration solutions on the cloud and on-premises.
                                              • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                              • +
                                              +
                                              +
                                              +
                                              +
                                              +

                                              Enough about us, let’s talk about you

                                              +
                                              +
                                              +

                                              You are someone with:

                                              +
                                              • Strong development skills in Java. Groovy experience is a plus.
                                              • Solid understanding of databases, application architectures, open source frameworks etc.
                                              • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                              • Exposure to Agile development methods in data-oriented projects
                                              • Knowledge of Linux, shell scripting etc.
                                              • +
                                              +

                                              Strong candidates will also have some of the following capabilities:

                                              +
                                              • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                              • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                              • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                              • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                              • +
                                              +
                                              +
                                              +
                                              +

                                              Why Deloitte?

                                              +

                                              Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                              +
                                              • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                              • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                              • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                              • +
                                              +


                                              The next step is yours

                                              +

                                              Sound like The One Firm. For You?

                                              +

                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                              +

                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                              -
                                              ",,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-25T16:42:00.000Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/46895522-director-data-science-at-rbc,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,expired,2021-01-11T06:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -9e6403f7-5891-49f7-98d3-633d3d2e9271,46918606,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-01-11T15:26:33.425Z,"

                                              A Leader in Automating Intelligent Industrial Operations

                                              -

                                              At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                              -

                                              -

                                              Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                              -

                                              -

                                              We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                              -

                                              Things you should know about our tech

                                              -

                                              +

                                              Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                              ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,info@deloitte.com,https://careers.deloitte.ca/,,,2021-11-11T21:23:48.575Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/87464350-software-engineer-collibra-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-10-09T02:40:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +498ae64c-d326-4272-971a-481d6ae715f5,87480500,Clearpath,Autonomy Engineer - Perception,on_site,"Kitchener, Ontario",2021-10-09T04:40:53.307Z,"

                                              Description

                                              +

                                              Position: Autonomy Engineer - Perception
                                              Location: Kitchener, Ontario
                                              Experience: 1-5 Years of Relevant Work Experience
                                              Education: Graduate Degree in Related Field
                                              Division: OTTO Motors

                                              +

                                              About Us

                                              +

                                              Clearpath provides self-driving vehicle technology and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO Motors.

                                              +

                                              We employ a diverse and highly talented team who live and breathe robotics. We believe that work must have a high “cool” factor and every day should bring new knowledge. We need more passionate people on our team who are willing and able to push the boundaries of robotics into focused and practical applications.

                                              +

                                              Clearpath is automating the world and we need your help. Got what it takes?

                                              +

                                              About the Job

                                              +

                                              Our industrial solutions team is in high demand finding new ways to automate away our clients' problems, and we have more point clouds to process, networks to learn, and states to estimate than ever. We need more people on our team to bring the state of the art to practical applications. Clearpath, our partner companies, and our clients are making tremendous advances in robotics, and we want you to be a part of it!

                                              +

                                              You will stay on top of recent developments in SLAM, computer vision, perception algorithms, and sensing technology. You should be familiar with common open-source middleware and libraries like ROS, OpenCV, Gazebo, and PCL, because Clearpath's development team relies on these on a daily basis. You may be responsible for contributing back to these libraries. You'll work to evaluate and implement the state of the art in perception algorithms in a wide variety of practical applications for clients who we're not permitted to name in this very public job description. Additionally, you'll spend time improving our research products by building new demos and attending conferences. You'll likely spend warm summer days driving robots around outside (cold winters too; this is Canada after all).

                                              +

                                              Your primary responsibilities will be:

                                                -
                                              • We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems
                                              • -
                                              • We use Keras, SciKit-Learn, XGBoost, SHAP and regularly research and add new libraries to our stack
                                              • -
                                              • Our pipelines and microservices are developed predominantly with Python
                                              • -
                                              • We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines
                                              • -
                                              • We use CircleCI to continuously test, integrate and deploy code changes, including ML
                                              • +
                                              • Create robust innovative solutions to the problems of robotic perception
                                              • +
                                              • Development of custom SLAM, computer vision, machine learning, target tracking, and perception algorithms
                                              • +
                                              • Evaluation of new algorithms and sensing technology
                                              • +
                                              • Assisting with concept development for new products and projects
                                              • +
                                              • Design and architect new perception systems and algorithms
                                              -

                                              -

                                              What we’re looking for:

                                              -

                                              -

                                              We’re looking for candidates with:

                                              +

                                              Additional tasks may include:

                                                -
                                              • Experience applying machine learning and deep learning algorithms to time-series problems
                                              • -
                                              • Strong knowledge of probability and statistics, plus a passion for working with data
                                              • -
                                              • The ability to implement feature engineering and data transformations at scale
                                              • -
                                              • Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries
                                              • -
                                              • An understanding of microservice architecture and containerization
                                              • -
                                              • A proven track record of delivering well-designed and tested software
                                              • +
                                              • Collaboration with other teams including controls and navigation planning
                                              • +
                                              • Triage and support of live industrial systems in the field
                                              • +
                                              • Mentoring and assisting with the supervision of interns
                                              • +
                                              • Open-source contributions to the ROS/PCL/Gazebo community
                                              • +
                                              • Attending tradeshows and conferences
                                              -

                                              -

                                              Who you are:

                                              -

                                              -

                                              In general, we’re looking for developers that exemplify these qualities:

                                              +

                                              About You

                                              +

                                              You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some form of higher education with the common sense to back it up.

                                              +

                                              Required Skills:

                                                -
                                              • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                              • -
                                              • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                              • -
                                              • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                              • -
                                              • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                                              • +
                                              • Graduate degree in engineering/CS or a related field, with applicable background
                                              • +
                                              • Practical and theoretical knowledge of state estimation, computer vision, perception, and SLAM techniques
                                              • +
                                              • Strong software development skills (C++ and Python)
                                              • +
                                              • Proficiency with Linux
                                              • +
                                              • Excellent teamwork/communication skills
                                              • +
                                              • Ability to independently develop software development plans, including timelines and test procedures
                                              • +
                                              • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                              -

                                              -

                                              Your Benefits

                                              Some of the benefits you can expect as part of our team include:

                                              +

                                              Bonus points for:

                                                -
                                              • Awesome team and culture (every day)
                                              • -
                                              • Generous time off, including vacation and personal days to help rejuvenate
                                              • -
                                              • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                              • -
                                              • Flexible office policy, with options to work remotely
                                              • -
                                              • Attend Conferences to extend your knowledge and skills
                                              • -
                                              • Company-provided MacBooks and standing desks
                                              • -
                                              • Top technology and tools to excel at your role
                                              • -
                                              • Free team lunches
                                              • +
                                              • ROS, TensorFlow, Gazebo, and PCL experience
                                              • +
                                              • Familiarity with graph optimization techniques and libraries
                                              • +
                                              • Experience writing efficient, high-performance code
                                              • +
                                              • Hands-on experience with autonomous systems
                                              • +
                                              • Ability to diagnose broken robots by their sounds and smells
                                              • +
                                              • Experience with git/other DVCS systems and other software development processes
                                              • +
                                              • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                              -

                                              -

                                              Why Join Canvass?

                                              -

                                              -

                                              Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                              -

                                              -

                                              What's it like working at Canvass?

                                              -

                                              -

                                              This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                              -

                                              -

                                              Apply Now

                                              -

                                              -

                                              Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                              -

                                              -

                                              You can also follow us on Twitter or LinkedIn to learn more about us.

                                              -

                                              -

                                              Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                              -

                                              Apply for this position

                                              -

                                              Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                              ",,https://www.canvass.io/machine-learning-engineer-job,aimasters@vectorinstitute.ai,,,,2021-02-10T15:26:43.031Z,False,0,21,91,https://talenthub.vectorinstitute.ai/jobs/46918606-machine-learning-engineer-at-canvass-analytics-inc,,expired,2021-01-11T15:26:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -85884812-1cbf-440f-8e84-88c408531b95,46918641,Google,"Software Developer Intern, Machine Learning, PhD, 2021",on_site,"Waterloo, ON, Canada",2021-01-11T15:43:32.942Z,"

                                              Please complete your application before February 26th, 2021.

                                              -

                                              Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                              -

                                              This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2021, depending on their program and unique circumstances.

                                              -

                                              -

                                              To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                              -
                                                -
                                              • 1. In the “Resume Section:” attach an updated CV or resume.
                                              • -
                                              • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
                                                • Under “Degree Status,” select “Now attending” to upload a transcript.
                                                -
                                              • +


                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                              ",,http://jobs.jobvite.com/clearpath/job/oM2TgfwH,feed-importer@jobboard.io,,,,2021-10-29T04:51:07.819Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/87480500-autonomy-engineer-perception-at-clearpath,http://jobs.jobvite.com/clearpath/job/oM2TgfwH,expired,2021-10-09T04:40:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, +050fbc71-2d6e-4305-ad62-c981482846b1,87480726,Deep Genomics,Machine Learning Engineer (All levels),temporary,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2021-10-09T04:41:17.248Z,"
                                              +
                                              About Us
                                              +
                                              Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                              +

                                              +
                                              Ideal Candidate
                                              +
                                              Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                              +
                                              +
                                              +

                                              What You’ll Be Doing:

                                              +
                                                  +
                                                • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                • +
                                                • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                • +
                                                • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                • +
                                                • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                                • +
                                              +
                                              +
                                              +

                                              What You Bring:

                                              +
                                                  +
                                                • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                • +
                                                • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                • +
                                                • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                • +
                                                • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                • +
                                                • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                • +
                                                • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                • +
                                              +
                                              +
                                              +

                                              What we offer:

                                              +
                                                  +
                                                • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                • +
                                                • A highly competitive salary and meaningful equity compensation.
                                                • +
                                                • Exceptional opportunities for learning and growth.
                                                • +
                                                • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                                • +
                                              +
                                              +
                                              +
                                              +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                              +

                                              +
                                              Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                              +
                                              ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2021-11-12T16:10:06.070Z,False,0,12,68,https://talenthub.vectorinstitute.ai/jobs/87480726-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2021-10-09T04:41:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, +720a8b2b-b654-4764-8512-a5f177f43f39,87480906,Scotiabank,VELOCITY - Data Engineer - Summer 2022,on_site,Canada : Ontario : Toronto,2021-10-09T04:41:37.321Z,"

                                              +

                                              +

                                              +

                                              +

                                              Requisition ID: 120521

                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                              +

                                              + +

                                              VELOCITY – Data Engineer – Summer 2022

                                              +

                                              WORK TERM: 4 Months - Summer 2022 (May- August)

                                              +

                                              +

                                              What Can I Expect from the Velocity Program?

                                              +


                                              This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                              +

                                              +

                                              You will…

                                              +
                                              • Perform data exploration on different data sources and model training
                                              • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics Technology, among others)
                                              • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
                                              • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
                                              • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
                                              • Monitor data pipelines, liaise with vendors and source systems groups in the event of failures/maintenance
                                              • Migrate data pipelines and models to new analytics platforms
                                              • Experiment & learn!
                                              -


                                              Note: By applying to this position your application is automatically submitted to the following locations: Waterloo, ON, Canada; Montreal, QC, Canada

                                              -

                                              -

                                              Qualifications

                                              -

                                              Minimum qualifications:

                                              +

                                              +

                                              You Are?

                                              +

                                              You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                              +

                                              Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                              +

                                              +

                                              You have basic knowledge in…

                                              +
                                              • Business, Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                              • +Some of the following technologies:
                                                • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
                                                • Cloud platforms – GCP, Azure or AWS
                                                • MinIO Data Storage, Airflow, Trino
                                                • DB2, SQL Server
                                                • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
                                                • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
                                              • +
                                              +

                                              +

                                              +

                                              How to apply?

                                              +

                                              For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                              +

                                              +

                                              1) Complete your PLUM Profile here

                                              +

                                              2) Take a screenshot of your completed PLUM profile.

                                              +

                                              3) Complete a very short one-way video interview by clicking here

                                              +

                                              4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                              +

                                              +

                                              We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require

                                              +

                                              +

                                              Location(s): Canada : Ontario : Toronto

                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Engineer-Summer-2022-ON/550313917/,feed-importer@jobboard.io,,,,2021-10-21T19:10:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/87480906-velocity-data-engineer-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-Engineer-Summer-2022-ON/550313917/,expired,2021-10-09T04:41:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +6cebd8ec-e0c2-4d27-bc9d-63eb1562815e,87481267,integrate.ai,Machine Learning Scientist - Research,on_site,Toronto,2021-10-09T04:42:22.717Z,"

                                              At integrate.ai, our mission is to power a new intelligence ecosystem that is built on trust and mutual benefit for people and organizations. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make client interactions more natural, meaningful, and valuable. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                              +

                                              We are looking for a Machine Learning Scientist (Research) to join our research team. This role delves into the art of the possible, and is neatly placed at the cross-section of cutting edge science and latest industry trends. It also represents a unique opportunity for someone who wants to work with a team of smart and passionate individuals committed to bringing new AI/ML products to the business enterprise world.

                                              +

                                              What you will be doing:

                                                -
                                              • Currently pursuing a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
                                              • -
                                              • Experience in Machine Learning or Artificial Intelligence.
                                              • -
                                              • Experience with one or more of the following: Recommendation/Ranking/Prediction (RRP), Computer Vision (CV), Natural Language Processing (NLP), Speech/Audio, Deep Learning/Neural Networks, Reinforcement Learning, Distributed Machine Learning.
                                              • +
                                              • Assist in shaping the research agenda by keeping abreast of latest technical developments (areas of interest include: federated learning, domain adaptation, transfer learning, reinforcement learning, causal inference, fair ML, privacy-preserving techniques.) and understanding how these can potentially impact the industries that we work in.
                                              • +
                                              • Researching and developing intelligent systems (e.g., machine learning models, reinforcement learning systems) to power the platform’s scientific capabilities.
                                              • +
                                              • Conduct experiments that focus on reproducibility and reliability to test out complex ideas.
                                              • +
                                              • Present and share research findings in a clear manner through integrate.ai’s internal technical reports (and when appropriate, share these findings through external outlets such as paper publications and conference presentations).
                                              -

                                              Preferred qualifications:

                                              +

                                              You have:

                                                -
                                              • Examples of coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python.
                                              • -
                                              • A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
                                              • +
                                              • A Masters or PhD in Machine Learning, Applied Statistics, Computer Science, or a related quantitative discipline.
                                              • +
                                              • 5+ years of hands-on machine learning experience.
                                              • +
                                              • Expertise in at least one of the following areas: federated learning, transfer learning, domain adaptation, reinforcement learning, generative modelling, fair ML, causal inference, privacy-preserving techniques.
                                              • +
                                              • High quality research publications and/or open-source projects
                                              • +
                                              • Great proficiency in machine learning tools such as TensorFlow, PyTorch, Scikit Learn, Theano, Spark MLlib.
                                              -

                                              About the job

                                              -

                                              Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Developer Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

                                              -

                                              Google's Software Developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including distributed computing, performance measurement and analysis, operating systems, large-scale system design, networking, storage systems, security, compilers, UI design and mobile; the list goes on and is growing every day. As an intern you will work on a specific project critical to Google’s needs as our fast-paced business grows and evolves. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across a wide range of technologies.

                                              -

                                              Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                              -

                                              Responsibilities

                                              -
                                              • General responsibilities may include working with a team of developers with any of the following: Applied Machine Learning, ML Recommendations / Ranking / Predictions, Data Visualization / Pipelining / Analysis, Computer Vision / Image & Video Processing, Natural Language Processing / Understanding, Speech & Audio Processing, Reinforcement Learning, Deep Learning / Neural Networks, Distributed Machine Learning / Infrastructure Human Computer Interaction, Machine Translation
                                              ",,https://careers.google.com/jobs/results/109884022835815110-software-developer-intern-machine-learning-phd-2021/?location=Canada,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-02-01T17:43:00.000Z,False,0,6,68,https://talenthub.vectorinstitute.ai/jobs/46918641-software-developer-intern-machine-learning-phd-2021-at-google,,expired,2021-01-11T15:43:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,Re-Posting an Expired Job, -b7135513-26e8-4ed4-9ad2-9a7ee6187b04,46920223,BMO Financial Group,Data Modeling Architect,on_site,"Toronto, ON, Canada",2021-01-11T18:54:47.412Z,"

                                              The Data Model Architect will coordinate the development of the data model by providing thought leadership, business analysis and organization skills. The Data Model Architect serves as a reference and authority on the process of data modeling cross platforms, applications and systems and ensure consistency with existing data models and data architectures, published standards and guidelines.

                                              +

                                              The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                              +

                                              We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                              ",,https://boards.greenhouse.io/integrateai/jobs/4224910002,feed-importer@jobboard.io,,,,2021-11-12T16:22:38.999Z,False,0,4,58,https://talenthub.vectorinstitute.ai/jobs/87481267-machine-learning-scientist-research-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/4224910002,expired,2021-10-09T04:42:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Masters Degree,New Posting, +13403c65-3c2f-4fa0-9285-acfa4d6cfca7,87481270,integrate.ai,Machine Learning Scientist - Applied,on_site,Toronto,2021-10-09T04:42:22.882Z,"

                                              At integrate.ai, our mission is to power a new intelligence ecosystem that is built on trust and mutual benefit for people and organizations. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make client interactions more natural, meaningful, and valuable. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                              +

                                              We are looking for a Machine Learning Scientist (Applied) who is excited to play an integral part of a client facing team, who excels at uncovering concise business insights, and who can both deliver and communicate these insights effectively to external stakeholders. Responsibilities for this role range from data ingestion to collaborating with both internal and external stakeholders to build the platform in a way that best suits our client’s needs. This is a fascinating role that requires both strong interpersonal skills and deep technical knowledge.

                                              +

                                              What you will be doing:

                                                -
                                              • Creates Conceptual, Logical, and Physical Data Models as the representation of the enterprise's data cross platforms, applications and systems, following the Enterprise Data Architecture standard and industry best practice and standards
                                              • -
                                              • Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and advanced data technologies.
                                              • -
                                              • Provides thought leadership in the areas of advanced data techniques, including data modeling, data governance, data integration, discovery, visualization, etc.
                                              • -
                                              • Creates repeatable and process-oriented data modeling, data dictionaries, metadata, taxonomy, data flow, patterns, design justifications or other artifacts designs, architecture and strategies to entail the business concepts, relationship with defined rules, default values and naming conventions.
                                              • -
                                              • Possesses expert level knowledge of data modelling concepts and is increasingly able to design, develop, and maintain advanced, complex, or mission-critical data models and datasets as well as assisting in developing high-impact, strategic insights.
                                              • -
                                              • Drives the architecture of the data services & platforms in support of self-service, and the adoption of these services in the most effective way.
                                              • -
                                              • Creates the data strategy to support Cloud data integration and transformation.
                                              • -
                                              • Drives the creation of detailed technology roadmap to lead the data technology transition from current state architecture to interim and then future state.
                                              • -
                                              • Provides strategic input into business decisions as a trusted advisor.
                                              • -
                                              • Provides advice and guidance to assigned Group/Functions on implementation of solutions.
                                              • -
                                              • Provides input to project teams to ensure that their processes and deliverables align with the BMO target state architecture.
                                              • -
                                              • Challenges the architecture validation process and other relevant enterprise data governance areas.
                                              • -
                                              • Develops and maintains strong working relationships with internal stakeholders in Enterprise, Technology and business groups in order to ensure adherence to Data Architecture standards.
                                              • -
                                              • Researches/monitors industry activities to keep abreast of relevant data technologies.
                                              • -
                                              • Recommends technology direction about the feasibility and applicability of such technologies within the environment.
                                              • +
                                              • Using your data science superpowers to advise clients on everything from use case development to solution design to performance measurement
                                              • +
                                              • Collaborating with other Machine Learning Scientists on the team to problem-solve and develop best practices
                                              • +
                                              • Principally delivering data ingest for our client data, including cataloguing the data and mapping it to our proprietary data schema
                                              • +
                                              • Collaborating with our business team to create polished data visualizations and pull high level business insights from client data
                                              • +
                                              • Working closely with our machine learning research team in the early stages of statistical/machine learning model development to identify valuable patterns and information in the data
                                              • +
                                              • Collaborating with our engineers to translate complex business logic into our proprietary data schema
                                              • +
                                              • Supporting engineers to do carry out reliable and efficient integrations
                                              • +
                                              • Sending feedback to our engineering, product, and machine learning research teams to develop requirements for our product roadmap - specifically our ingest, structuring, and integration capabilities
                                              -

                                              -

                                              Qualifications:

                                              +

                                              You have:

                                                -
                                              • Typically 7-10 years of work experience in IT or business environment and/or BS/BA or MBA/MS in computer science, engineering, information systems, math or business
                                              • -
                                              • Expert knowledge of computer or network systems hardware and software theory, practice, concepts and technology relevant to organizational vision.
                                              • -
                                              • Sufficient business knowledge to assess impact of applied technology on customer’s business processes.
                                              • -
                                              • Solid analytical skills and experience in information taxonomy creation, unstructured information analysis.
                                              • -
                                              • Expertise at data modelling 3NF & Dimensional, including conceptual, logical and physical
                                              • -
                                              • Proven working experience at minimum one of financial industry data models, FSDM, ISO20022, FIX, IFS and etc
                                              • -
                                              • Deep understanding of metadata management, data modeling, data catalog and related tools
                                              • -
                                              • Solid hands-on experience in big data, data warehouse and/or analytic experience (using RDBMS, NoSQL, Graph database technologies, Hadoop, Spark, Kafka, SAS, ETL and Data Ingestion protocols).
                                              • -
                                              • Demonstrated projects experience in data architecture and microservice architecture
                                              • -
                                              • Working knowledge of Kafka event topics, restful API specification, document data taxonomy
                                              • -
                                              • Proven working experience in data governance and enterprise data management domains including Data Security, Data Strategy, Data Quality, Master Data Management, Data Catalogs, Data Lineage
                                              • -
                                              • Demonstrated experience in reverse-engineering of data models from existing systems.
                                              • -
                                              • Working experience on Cloud technologies (AWS or Azure is preferable) to build data solutions.
                                              • -
                                              • Awareness of established and emerging data technologies.
                                              • -
                                              • Understands the impact of design decisions, technical behaviour of the underlying operating system, technical behaviour of the data management layer, compiler and tools.
                                              • -
                                              • Experience with Data Virtualization over relational and non-relational sources, preferred.
                                              • -
                                              • Working knowledge of Agile development methodologies preferred.
                                              • -
                                              • Passion for technology &/or domains;
                                              • -
                                              • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
                                              • -
                                              • Exhibits knowledge of data architecture concepts and practices.
                                              • -
                                              • Demonstrates knowledge of architecture frameworks, methodologies, and tools. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation).
                                              • -
                                              • Possesses strong knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM).
                                              • -
                                              • Knowledge of project management methodology and its applicability to successful delivery of technical change.
                                              • -
                                              • Understands the strategic technical direction of: middleware, continuous Integration and continuous deployment, testing, systems management, enterprise data & access layers, and pertinent styles of computing,
                                              • -
                                              • Possesses a deep understanding and problem solving ability of various complexities.
                                              • -
                                              • Expert knowledge in the techniques that go into producing designs of complex systems, including requirements discovery and analysis, formulation of solution context, identification of solution alternatives and their assessment, technology selection, and design configuration.
                                              • -
                                              • Seasoned professional with a combination of education, experience and industry knowledge.
                                              • -
                                              • Verbal & written communication skills - In-depth / Expert.
                                              • -
                                              • Analytical and problem solving skills - In-depth / Expert.
                                              • -
                                              • Influence skills - In-depth / Expert.
                                              • -
                                              • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                              • -
                                              • Able to manage ambiguity.
                                              • -
                                              • Data driven decision making - In-depth / Expert.
                                              • -
                                              • n-depth / Expert.
                                              • +
                                              • 5+ years in a lead Machine Learning (or Data) Science role, including experience providing strategic guidance to clients and fellow Machine Learning (or Data) Scientists
                                              • +
                                              • An appreciation for the beauty of data. You love a challenge, and you’re excited about bringing a narrative to complex business problems using what you learn from a dataset
                                              • +
                                              • Worked directly with clients and understand the importance of prioritizing client needs
                                              • +
                                              • A bachelor’s degree in computer science or a related discipline
                                              • +
                                              • Strong technical abilities, creative problem solving skills and high adaptability
                                              • +
                                              • Extraordinary interpersonal, organization and communications skills
                                              • +
                                              • Experience working directly with business users to build reports and answer business questions with data
                                              • +
                                              • Experience working with big data structures and ETL tools and other big data technologies (Hadoop/Spark, Hive SQL, etc.) to uncover meaningful business insights
                                              • +
                                              • A strong understanding of statistical modeling and you’re passionate about deriving insights from large datasets
                                              • +
                                              • Programming experience with Python, R, or SAS
                                              • +
                                              • Adaptability and interest in working with a dynamic, early stage company
                                              -

                                              -

                                              -

                                              We’re here to help

                                              -

                                              -

                                              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                              -

                                              -

                                              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                              -

                                              -

                                              To find out more visit us at www.jobs.bmo.ca/ca/en.

                                              -

                                              -

                                              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Modeling-Architect_R210000011,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-02-10T18:54:49.264Z,False,0,3,32,https://talenthub.vectorinstitute.ai/jobs/46920223-data-modeling-architect-at-bmo-financial-group,,expired,2021-01-11T18:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -b2682760-88e5-41c2-9de4-41dea31b22c2,46924117,TD Bank Group,Quantitative Portfolio Research Co-Op,on_site,"Toronto, ON, Canada",2021-01-11T21:16:01.110Z,"

                                              Company Overview

                                              -

                                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                              -

                                              TD’s Colleague Promise: A better you. A better us.

                                              -

                                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                              -

                                              Department Overview

                                              -

                                              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                              -

                                              Our Momentum Program is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                              +

                                              The diverse experiences, ideas, and identities of integrate.ai’s team members helps us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We're committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                              +

                                              We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                              ",,https://boards.greenhouse.io/integrateai/jobs/4220487002,feed-importer@jobboard.io,,,,2021-11-12T16:23:21.055Z,False,0,3,77,https://talenthub.vectorinstitute.ai/jobs/87481270-machine-learning-scientist-applied-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/4220487002,expired,2021-10-09T04:42:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, +72cf1f29-a656-409c-ab6d-b07743469a7e,87506398,OMERS,Data Engineer,on_site,"Ontario, Canada",2021-10-09T07:06:33.705Z,"
                                              +
                                              +
                                              +

                                              Why join us?

                                              +

                                              +

                                              Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                              At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                              +

                                              +

                                              +

                                              +

                                              As a key member of the Enterprise Data & Advanced Analytics team, the Data Engineer is passionate, down to earth, takes great pride in delivering next generation full stack solutions that meet and exceed our strategic business goals. Driving innovation in the development of advanced capabilities, you are leading with a product management & system-thinking approach.

                                              The candidate will develop end-to-end data pipelines, with a focus on system integration and cloud to support OMERS decision makers and collaborate with a community of designers, product managers, data engineers and architects in ideation, design, development, testing, technical support, research and knowledge-sharing through the implementation lifecycle.

                                              +

                                              +

                                              +

                                              As a member of this team, you will be responsible for:

                                                -
                                              • Leadership talks with key Leaders from across the organization
                                              • -
                                              • Lunch and Learns on topics such as Innovation
                                              • -
                                              • Diversity and Inclusion and Personal Branding and so much more
                                              • +
                                              • Designing, deploying and sustaining scaled data pipelines to achieve a high level of reliability, scalability and security in supporting business objectives.

                                              • +
                                              • Sourcing, transforming and delivering structured and unstructured assets for use in Azure Databricks, Synapse Analytics, Power BI, and more.

                                              • +
                                              • Operating in an Agile development environment.

                                              • +
                                              • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management.

                                              • +
                                              • Participating in solution build, delivery, support and troubleshooting.

                                              • +
                                              • Leading change and communicating impacts to business partners and fellow team members.

                                              • +
                                              • Exhibiting the ability to work on multiple projects simultaneously and ensuring delivery on time, within scope and within budget.

                                              • +
                                              • Participating in establishing sound data management practices for the team and the organization.

                                              • +
                                              • Identifying, defining and implementing opportunities for improving existing processes.

                                              • +
                                              • Defining and executing technical test plans, perform unit, performance and integration testing and automate regression testing.

                                              -

                                              TD Asset Management Inc. (TDAM) is an Investment Management firm with leading market positions in active, quantitative and passive portfolio management serving a large and diversified client base including pension funds, corporations, institutions, endowments, foundations and high net worth individuals. We also offer private money management services and manage retail mutual funds.

                                              -

                                              Job Description

                                              -

                                              Are you ready for a challenge? We are seeking an intellectually curious person, with a high level of mathematical maturity and excellent Python skills, to join the Portfolio Research & Analytics team as a Quantitative Portfolio Research Co-op.

                                              -

                                              The models developed by the Portfolio Research & Analytics team inform the investment decision making process and help drive quantitative investment strategies. If selected for this role, you will be primarily working on enhancing and testing our models and data processing capabilities.

                                              -

                                              On any given day you may be asked to:

                                              +

                                              +

                                              To succeed in this role, you have:

                                              +

                                              +

                                              Professional

                                                -
                                              • Analyze a risk model for potential pockets of instability, and if any are found, research their root causes
                                              • -
                                              • Write a data scraping script and verify the correctness of output data using both visual and quantitative methods
                                              • -
                                              • Tune an optimizer profile to produce trades that are consistent with the investment objective of a fund
                                              • -
                                              • Develop a portfolio asset-allocation strategy that maximizes the Sharpe ratio, from a given set of component returns, and perform historical backtests
                                              • -
                                              • Create visualizations for return and risk performance indicators using Python
                                              • -
                                              • Fit a factor model and test its out-of-sample performance using Python statsmodels
                                              • -
                                              • Teach yourself some methodology you’ve never heard of before, by reading a paper, and then figure out the best way to use it in order to add value to the portfolio management process
                                              • +
                                              • Experience. 3+ years solving complex technical data projects using the Microsoft Azure data stack or equivalent work experience is required. Financial industry application is preferred.

                                              • +
                                              • Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required.

                                              • +
                                              • Relationship Building. Proven track record of building deep technical relationships. Experience in aligning expectations across various partners.

                                              • +
                                              • Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction. Demonstrated proficiency in understanding and implementing business workflows is a plus.

                                              • +
                                              • Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.

                                              -

                                              Candidates will find this role a great opportunity to leverage their strong mathematical and data analysis skills while gaining front office financial industry experience.

                                              -

                                              Why you should be excited about applying for this role:

                                              +

                                              +

                                              Technical

                                                -
                                              • A chance to see the results of your work have immediate real-world impact
                                              • -
                                              • One-on-one mentoring
                                              • -
                                              • Co-op events
                                              • +
                                              • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required.

                                              • +
                                              • Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources is required: ​Azure Data Factory, Dedicated Synapse SQL (SQL DW), Azure Databricks, Azure Functions using C#, PowerShell or Python, Kubernetes and containerization

                                              • +
                                              • Experience automating CI/CD pipelines using Azure DevOps or equivalent work experience is required.

                                              • +
                                              • Experience with the Microsoft Power Platform is preferred.

                                              • +
                                              • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies.

                                              • +
                                              • Experience with GCP and BigQuery is preferred.

                                              -

                                              Students will have the opportunity to work on several projects independently and see the results of their work used in real-world contexts. Students will gain extensive experience in using Python for quantitative research, and significant hands-on SQL database experience.

                                              -

                                              Requirements

                                              +

                                              +

                                              Education

                                                -
                                              • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Mathematics, Finance, or similar.
                                              • -
                                              • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                              • -
                                              • Excellent understanding of mathematics:
                                                  -
                                                • Linear algebra (e.g. decomposing a matrix into its eigenvectors)
                                                • -
                                                • Statistics (e.g. multivariate regression, covariance matrices)
                                                • -
                                                • Probability (numerically computing the expectation of an arbitrary function over a continuous density, finding a distribution that best fits to data)
                                                • +
                                                • Bachelor’s Degree in an appropriate field of study or equivalent work experience

                                                • +
                                                • Candidates with Microsoft Azure certifications are desired

                                                -
                                              • -
                                              • Mental persistence to analytically explore all logical implications of an idea
                                              • -
                                              • Experience in implementing your ideas in software, preferably using one of the following tools
                                                  -
                                                • Python/pandas/numpy/scipy/statsmodels/scikit-learn
                                                • -
                                                • MATLAB
                                                • -
                                                • C++
                                                • -
                                                -
                                              • -
                                              • Experience with the following would be considered an asset:
                                                  -
                                                • Bloomberg terminal
                                                • -
                                                • SQL and database design (with any major RDBMS)
                                                • -
                                                • Web development and JavaScript
                                                • -
                                                • Git version control
                                                • -
                                                • Familiarity with software development in a Linux-based environment
                                                • -
                                                -
                                              • -
                                              • Strong time management and organization skills.
                                              • -
                                              • Keen interest in finance and investments. Previous experience in financial industry is not required but considered an asset.
                                              • -
                                              • Attributes that are beneficial to the role are: self-starter, analytical and attention to detail.
                                              • -
                                              • The ideal candidate should be comfortable working in a team environment.
                                              • -
                                              -

                                              Additional Information

                                              -
                                                -
                                              • This position is a 4-month work term and will commence May 3rd, 2021.
                                              • -
                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                              • -
                                              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                              • -
                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                              • -
                                              • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                              • -
                                              ",,https://jobs.td.com/en-CA/jobs/12047774/quantitative-portfolio-research-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-01-25T17:16:00.000Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/46924117-quantitative-portfolio-research-co-op-at-td-bank-group,,expired,2021-01-11T21:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -71a11f4d-2cbc-43f1-982b-a049ad620b9d,46924133,TD Bank Group,Data Scientist – Business Innovation,on_site,"Toronto, ON, Canada",2021-01-11T21:22:52.533Z,"

                                              Company Overview

                                              -

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              -

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              -

                                              -

                                              Department Overview

                                              -

                                              The business innovations team is a newly established team within TD Securities. Our mandate is to drive business transformation using data and analytics.

                                              -

                                              The successful candidate will synthesize front office business knowledge with data & analytics techniques to deliver value to TD Securities’ sales and trading operations.

                                              -

                                              This is a unique opportunity for a motivated candidate who is passionate about capital markets and can conceptualize innovative analytical products to deliver results.

                                              -

                                              The candidate will work on a wide array of projects ranging from client analytics, algorithmic trading, post trade analytics and workflow optimization,

                                              -

                                              The goal is to add immense value to our clients and franchise using TD Securities’ proprietary data assets combined with leading edge machine learning, analytics and cloud service partnerships.

                                              -

                                              This role will need high collaboration and engagement with multiple groups within TD Securities.

                                              -

                                              -

                                              Job Description

                                              -
                                                -
                                              • Engage sales and trading professionals to identify opportunities to solve real-world problems using data and analytics.
                                              • -
                                              • Rapidly prototype early-stage solutions (MVP) and be objective on its efficacy to end-state.
                                              • -
                                              • Execute on all aspects of analytics projects; data collection, data wrangling, model development, visualization, training and stakeholder management.
                                              • -
                                              • Document assumptions and methodologies, carry out validation and testing to facilitate peer reviews and independent model validation
                                              • -
                                              • Think strategically by proposing new / alternative approaches to solve technical problems.
                                              • -
                                              • Partner with technology on infrastructure, SDLC and deployment processes.
                                              • -
                                              • Develop and strengthen the advanced analytics capabilities of TD Securities.
                                              • -
                                              -

                                              -

                                              Requirements

                                              -
                                                -
                                              • Passionate about capital markets and able to translate non-technical requirements into product definition with associated solutions as enabled by data, analytics and visualization.
                                              • -
                                              • Motivated by complex analytical problems, curious and detail-oriented.
                                              • -
                                              • Able to independently research analytic techniques and propose alternatives for the proposed projects.
                                              • -
                                              • Scale minded ensuring re-use of components and techniques.
                                              • -
                                              • Inquisitive and constantly learning diverse techniques on machine learning, deep learning, AI, statistical modeling, information theory, data-architecture, etc.
                                              • -
                                              • Clear communicator, both verbal and written to present articulately and confidently.
                                              • -
                                              • Team player that can engage on innovation and cultural changes through the organization.
                                              • -
                                              • TD Bank’s culture carrier for diversity and inclusion.
                                              • -
                                              -

                                              Candidate Experience/Qualifications

                                              -
                                                -
                                              • MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Physics, Data Science, or similar.
                                              • -
                                              • -1-2 years of hands-on experience developing statistics and machine learning models in a capital markets setting.
                                              • -
                                              • Strong ability to develop and debug in Python, Java, C or C++. Proficient in git version control.
                                              • -
                                              • Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas).
                                              • -
                                              • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
                                              • -
                                              • Experience with public cloud and services (AWS, Azure)
                                              • -
                                              • Familiarity with basic data table operations (SQL, Hive, PostGres, Django, etc.).
                                              • -
                                              ",,https://jobs.td.com/en-CA/jobs/11822009/data-scientist-business-innovation-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-01-18T17:52:00.000Z,False,0,9,68,https://talenthub.vectorinstitute.ai/jobs/46924133-data-scientist-business-innovation-at-td-bank-group,,expired,2021-01-11T21:22:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -97ab0055-9bfe-42f3-a850-da4edb8bbd01,47176254,Loblaw Companies Ltd.,Data Developer Intern Supply Chain Logistics,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-01-14T06:17:15.171Z,"
                                              -
                                              -
                                              -

                                              Location:

                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                              -

                                              -

                                              The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                              -

                                              -

                                              -

                                              -

                                              Why is this role important?

                                              -

                                              WHY LOBLAW?

                                              -

                                              The Loblaw Supply Chain is the heart of our business and is committed to making customers our number one priority. As a member of our dynamic Supply Chain network, you will play a role in ensuring our product – nearly 1billion units of it – makes its way from one of our 3,000 vendors, through one of our 27 distribution centers, to one of our 2,300 locations across Canada, and into the homes of millions of Canadians each year. How’s that for a challenge?

                                              -

                                              -

                                              WHAT YOU’LL DO

                                              -
                                                -
                                              • - The candidate will be responsible for supporting the discovery, development and delivery of ongoing technological solutions to improve the competitive advantage of Loblaw through continuous business process improvements.
                                              • -
                                              • - Effectively communicate customer needs and priorities for project planning, development, implementation, maintenance and support.
                                              • -
                                              • - Research industry leading solutions and determining the feasibility of implementation in our Supply Chain network.
                                              • -
                                              • - Perform operational analysis and business process mapping using data and modelling driven approaches
                                              • -
                                              • - Use initiative and critical thinking to deal with concerns/issues/roadblocks within projects.
                                              • -
                                              • - Maintains accountability and is focused on results.
                                              • -
                                              • - Focuses on opportunities to improve and streamline user experiences with software & hardware.
                                              • -
                                              • - Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                              • -
                                              • - Analyze, clarify and present the technical components of business issues/needs in a clear and concise format and in a professional, diplomatic and timely fashion to senior management team
                                              • -
                                              • - Excellent grasp of business process and operational workflow modeling.
                                              • -
                                              -

                                              -

                                              WHAT YOU’LL NEED

                                              -
                                                -
                                              • Working towards an undergraduate degree in Engineering, Computer Science, Math & Stats, Business Administration, or related fields.
                                              • -
                                              • Be able to handle multiple tasks at the same time and be able to re-prioritize effectively.
                                              • -
                                              • Excellent problem solving, critical thinking and analytical skills
                                              • -
                                              • Must be able to work independently and/or collaboratively in a fast paced cross-functional environment.
                                              • -
                                              • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                              • -
                                              • Past experiences and knowledge of Distribution Centre, Logistics, Transportation, Automation, or General Supply Chain concepts in an asset
                                              • -
                                              • Exceptional Microsoft Office skills, including Microsoft Word, Microsoft Excel, Microsoft PowerPoint, with the ability to manipulate data, construct graphical reports, flowcharts and basic functions.
                                              • -
                                              • Knowledge of SQL, SAS, Python, simulation software (AnyLogic, Simul8, etc.), BI Dashboard (Power BI, Tableau, MSTR, etc.), and/or Microsoft Power Platform are an asset but not required
                                              • -
                                              • Knowledge of basic financial modelling and forecasting in an asset but not required
                                              • -
                                              -

                                              -

                                              -

                                              How You’ll Succeed:

                                              -

                                              At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                              -

                                              If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                              -

                                              -

                                              In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                              -

                                              -

                                              Employment Type:

                                              Full time

                                              -

                                              -

                                              Type of Role:

                                              Temporary (Fixed Term)

                                              -

                                              Type of Contract:

                                              Fixed Term

                                              -

                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                              -

                                              +

                                              Our story:

                                              +

                                              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                              -

                                              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                              +

                                              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                              -
                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Developer-Intern-Supply-Chain-Logistics_R2000197561,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-01-21T07:17:47.419Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/47176254-data-developer-intern-supply-chain-logistics-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Developer-Intern-Supply-Chain-Logistics_R2000197561,expired,2021-01-14T06:17:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, -3968b96e-7206-4f03-bfca-5651d95d7ebb,47299516,BenchSci,Senior Software Engineer in Test,full,Toronto or Remote (Canada) /,2021-01-15T07:16:52.184Z,"
                                              -
                                              BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                              -

                                              -
                                              We are looking for a Senior Software Engineer in Test to join our growing Engineering team. Reporting to the Director of Engineering, Reagent Platform, you will drive quality within the team by building automated tests, tools, and infrastructure with the goal of increasing the quality of our product. As BenchSci's first dedicated Software Engineer in Test, you will build out this practice from the ground up.
                                              -

                                              -
                                              -

                                              You Will:

                                              -
                                                  -
                                                • Take over our Engineering, Product, Science, and Customer Success weekly manual testing to understand our business logic and work towards automating the majority of these test cases
                                                • -
                                                • Build our end to end automated testing framework and integrate it into our CI pipeline
                                                • -
                                                • Create and document the standards for our testing practices and train and mentor our developers to adopt these practices
                                                • -
                                                • Build a data warehouse and Business Intelligence reports on automated regression activities for non-engineering staff
                                                • -
                                                • Drive and advocate for quality across our engineering team during sprint planning, architecture designs, and release management to improve overall code quality and release confidence
                                                • -
                                              -
                                              -

                                              You Have:

                                              -
                                                  -
                                                • 2+ years of software engineering experience on a development team
                                                • -
                                                • 2+ years of test engineering experience on a development team
                                                • -
                                                • Experience with E2E automated testing tools such as Cypress, and unit testing tools like Jest for our Javascript / React functionality
                                                • -
                                                • Solid experience with data testing for our SQL and Python API functionality
                                                • -
                                                • Experience building end-to-end test suites for web apps
                                                • -
                                                • Strong cross-team communication and collaboration skills
                                                • -
                                                • A desire to work as a team player and see teammates succeed together
                                                • -
                                              -
                                              -

                                              Nice to haves, but not mandatory requirements:

                                              -
                                                  -
                                                • Experience with visual testing tools like Happo
                                                • -
                                                • Experience with performance, load, or stress testing of applications
                                                • -
                                                • Experience with security and privacy testing
                                                • -
                                              -
                                              -

                                              Our benefits and perks:

                                              -
                                                  -
                                                • A compensation package that includes equity options in the company
                                                • -
                                                • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                • -
                                                • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                • -
                                                • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                • -
                                                • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                • -
                                                • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                • -
                                                • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                • -
                                                • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                • -
                                                • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                • -
                                                • A great benefits package: Including health and dental
                                                • -
                                              -
                                              -
                                              Here at BenchSci, these are our core values:
                                              -

                                              -
                                              -Focused: We focus on what will drive the greatest impact at all times.
                                              -
                                              -Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                              -
                                              -Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                              -
                                              -Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                              -
                                              -Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                              -

                                              -
                                              Diversity, Equity and Inclusion:
                                              -
                                              BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                              -

                                              -
                                              Accessibility Accommodations:
                                              -
                                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                              -
                                              ",,https://jobs.lever.co/benchsci/2c56a418-acd8-47fd-a8d0-24ff79a3880d?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-02-17T15:56:48.389Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/47299516-senior-software-engineer-in-test-at-benchsci,https://jobs.lever.co/benchsci/2c56a418-acd8-47fd-a8d0-24ff79a3880d,expired,2021-01-15T07:16:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -22dda514-fce6-4a5b-bdb0-a24ae5c8691c,47525354,Clearpath,Autonomy Engineer - Perception,on_site,"Kitchener, Ontario",2021-01-16T07:16:48.237Z,"

                                              Description

                                              -

                                              Position: Autonomy Engineer - Perception
                                              Location: Kitchener, Ontario
                                              Experience: 1-5 Years of Relevant Work Experience
                                              Education: Graduate Degree in Related Field
                                              Division: OTTO Motors

                                              -

                                              About Us

                                              -

                                              Clearpath provides self-driving vehicle technology and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO Motors.

                                              -

                                              We employ a diverse and highly talented team who live and breathe robotics. We believe that work must have a high “cool” factor and every day should bring new knowledge. We need more passionate people on our team who are willing and able to push the boundaries of robotics into focused and practical applications.

                                              -

                                              Clearpath is automating the world and we need your help. Got what it takes?

                                              -

                                              About the Job

                                              -

                                              Our industrial solutions team is in high demand finding new ways to automate away our clients' problems, and we have more point clouds to process, networks to learn, and states to estimate than ever. We need more people on our team to bring the state of the art to practical applications. Clearpath, our partner companies, and our clients are making tremendous advances in robotics, and we want you to be a part of it!

                                              -

                                              You will stay on top of recent developments in SLAM, computer vision, perception algorithms, and sensing technology. You should be familiar with common open-source middleware and libraries like ROS, OpenCV, Gazebo, and PCL, because Clearpath's development team relies on these on a daily basis. You may be responsible for contributing back to these libraries. You'll work to evaluate and implement the state of the art in perception algorithms in a wide variety of practical applications for clients who we're not permitted to name in this very public job description. Additionally, you'll spend time improving our research products by building new demos and attending conferences. You'll likely spend warm summer days driving robots around outside (cold winters too; this is Canada after all).

                                              -

                                              Your primary responsibilities will be:

                                              -
                                                -
                                              • Create robust innovative solutions to the problems of robotic perception
                                              • -
                                              • Development of custom SLAM, computer vision, machine learning, target tracking, and perception algorithms
                                              • -
                                              • Evaluation of new algorithms and sensing technology
                                              • -
                                              • Assisting with concept development for new products and projects
                                              • -
                                              • Design and architect new perception systems and algorithms
                                              • -
                                              -

                                              Additional tasks may include:

                                              -
                                                -
                                              • Collaboration with other teams including controls and navigation planning
                                              • -
                                              • Triage and support of live industrial systems in the field
                                              • -
                                              • Mentoring and assisting with the supervision of interns
                                              • -
                                              • Open-source contributions to the ROS/PCL/Gazebo community
                                              • -
                                              • Attending tradeshows and conferences
                                              • -
                                              -

                                              About You

                                              -

                                              You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some form of higher education with the common sense to back it up.

                                              -

                                              Required Skills:

                                              -
                                                -
                                              • Graduate degree in engineering/CS or a related field, with applicable background
                                              • -
                                              • Practical and theoretical knowledge of state estimation, computer vision, perception, and SLAM techniques
                                              • -
                                              • Strong software development skills (C++ and Python)
                                              • -
                                              • Proficiency with Linux
                                              • -
                                              • Excellent teamwork/communication skills
                                              • -
                                              • Ability to independently develop software development plans, including timelines and test procedures
                                              • -
                                              • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                              • -
                                              -

                                              Bonus points for:

                                              -
                                                -
                                              • ROS, TensorFlow, Gazebo, and PCL experience
                                              • -
                                              • Familiarity with graph optimization techniques and libraries
                                              • -
                                              • Experience writing efficient, high-performance code
                                              • -
                                              • Hands-on experience with autonomous systems
                                              • -
                                              • Ability to diagnose broken robots by their sounds and smells
                                              • -
                                              • Experience with git/other DVCS systems and other software development processes
                                              • -
                                              • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                              • -
                                              -


                                              At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                              ",,http://jobs.jobvite.com/clearpath/job/oSd9efwc,feed-importer@jobboard.io,,,,2021-03-24T14:55:44.737Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/47525354-autonomy-engineer-perception-at-clearpath,http://jobs.jobvite.com/clearpath/job/oSd9efwc,expired,2021-01-16T07:16:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Bachelors Degree,Re-Posting an Expired Job, -ebd637b5-2b16-4e86-b1f8-2ac1a82692ab,47794560,Scotiabank,Velocity Tech Program - Data Science Summer 2021,on_site,Canada : Ontario : Toronto,2021-01-18T07:19:07.955Z,"

                                              -

                                              -

                                              -

                                              -

                                              Requisition ID: 94696

                                              -

                                              -

                                              Join the Global Community of Scotiabankers to help customers become better off.

                                              -

                                              -
                                              -

                                              VELOCITY TECH- Data Science

                                              4-Month Internship (May-August 2021)

                                              -

                                              WORK TERM: 4-month Summer 2021 term (May - August)

                                              -

                                              -

                                              -

                                              What Can I Expect from the Velocity Technology Development Program?

                                              -


                                              This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity, you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different parts of our technology ecosystem.

                                              -

                                              -

                                              Who are we looking for?

                                              -

                                              -
                                              • Do you like messy, unstructured data?
                                              • Does the idea of creating order out of chaos excite you?
                                              • Do you watch movies with AI and think you can totally build that?
                                              • Do you obsess over the next best model which can predict things better than before?
                                              • Have you built an analytics model in your computer and/or have a personal cloud cluster?
                                              • Do hackathons excite you?
                                              • -
                                              -

                                              -

                                              If you answered yes to any of the above questions, we are looking for you!

                                              -

                                              -
                                              • You will work closely with a team of Data Scientist who are re-inventing banking in a self-starting environment
                                              • You are open, persuasive, engaging, and love to have a good laugh – you also know when it’s important to get serious and get stuff done
                                              • +
                                              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-1163,feed-importer@jobboard.io,,,,2021-10-21T19:10:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/87506398-data-engineer-at-omers,,expired,2021-10-09T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e06ab82d-01ce-4815-8cea-aa773f79b152,87506479,Shopify Inc.,"Senior Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2021-10-09T07:07:06.475Z,"

                                              About the role

                                              +

                                              Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                              +

                                              Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                              +

                                              Responsibilities:

                                              +
                                                +
                                              • Proactively identify and champion projects that solve complex problems across multiple domains
                                              • +
                                              • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                              • +
                                              • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
                                              • +
                                              • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
                                              • +
                                              • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                              • +
                                              • Influence leadership to drive more data-informed decisions
                                              • +
                                              • Define and advance best practices within data science and product teams
                                              -

                                              -

                                              Key Accountabilities:

                                              -
                                              • Ingest, clean, and prepare data for analysis
                                              • Create and apply models and algorithms that address an innovation opportunity
                                              • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                              • Present results to stakeholders and help implement real data-driven changes
                                              • Experiment & learn!
                                              • +

                                                +

                                              Qualifications

                                                +
                                              • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems
                                              • +
                                              • Extensive experience with Python and software engineering fundamentals
                                              • +
                                              • Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
                                              • +
                                              • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
                                              • +
                                              • Curiosity about the problem domain and an analytical approach
                                              • +
                                              • Strong sense of ownership and growth mindset
                                              -

                                              -

                                              Qualifications:

                                              -
                                              • Currently enrolled in a Computer Science, Electrical/Computer/Software Engineering, or Mathematics/Stats program
                                              • Hands-on experience playing around with data and modelling to generate insights
                                              • Programming skills in Java, C++, or Python
                                              • Some experience with common machine learning libraries in R, Python, Spark
                                              • Experience with UNIX tools and shell scripting
                                              • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                              • Experience using and implementing visualization tools like D3, Tableau or ClickView
                                              • Comfortable working in a self-guided manner and in a small team
                                              • Comfortable working within tight timeframes
                                              • Knowledge of Agile principles and values a plus
                                              • +

                                                Experience with one or more:

                                                +
                                                  +
                                                • Deep understanding of advanced SQL techniques
                                                • +
                                                • Expertise with statistical techniques and their applications in business
                                                • +
                                                • Masterful data storytelling and strategic thinking
                                                • +
                                                • Deep understanding of dimensional modelling and scaling ETL pipelines
                                                • +
                                                • Experience launching productionized machine learning models at scale
                                                • +
                                                • Extensive domain experience in e-commerce, marketing or SaaS
                                                -

                                                -

                                                How do I apply?

                                                -

                                                For students, we believe in evaluating you through relationships over resumes, and are focused on learning about who you are and what you're interested in to uncover your true potential. In short, we don't believe resumes will provide us with an accurate depiction of what you're truly about in order to properly assess your potential. Instead, we want to get to know you and hear about the experiences that have shaped you. We know... this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the below:

                                                -

                                                -
                                                1. Complete your PLUM profile: CLICK HERE
                                                2. Complete a short one-way video interview: CLICK HERE
                                                3. Apply to the role through out career site.
                                                4. Upload a PDF of your PLUM profile and any Githubs or Websites
                                                5. -
                                                -

                                                -

                                                We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank is committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                -

                                                -

                                                **In order to be considered for the program you must submit your PLUM Assessment and Video Interview by no later than January 31st. **

                                                -

                                                -

                                                Location(s): Canada : Ontario : Toronto

                                                -

                                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Tech-Program-Data-Science-Summer-2021-ON/544231917/,feed-importer@jobboard.io,,,,2021-02-04T14:59:50.896Z,False,0,13,118,https://talenthub.vectorinstitute.ai/jobs/47794560-velocity-tech-program-data-science-summer-2021-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Tech-Program-Data-Science-Summer-2021-ON/544231917/,expired,2021-01-18T07:19:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -6a9966fd-82ef-49de-90c5-92501450ab77,47794799,RBC,"Data Analyst, Summer 2021 Student Opportunities (8 Months Only)",full,"Virtual, Ontario, Canada",2021-01-18T07:21:18.257Z,"
                                              +
                                              +
                                              +
                                              +

                                              All your information will be kept confidential according to EEO guidelines.

                                              +

                                              If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                              +

                                              At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                              +

                                              #LI-REMOTE

                                              How we hire

                                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                              Learn more about our hiring process +
                                              +
                                              +
                                              +
                                              ",,https://www.shopify.ca/careers/senior-data-scientist-remote-canada_36f0f3fb-7421-4620-909e-cb88da269b16,feed-importer@jobboard.io,,,,2021-11-12T16:33:47.689Z,False,0,2,46,https://talenthub.vectorinstitute.ai/jobs/87506479-senior-data-scientist-remote-canada-at-shopify-inc,,expired,2021-10-09T07:07:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +ed49ce90-1207-4eec-be57-30a654e31633,87813386,RBC,"Data Analyst, Winter 2022 Student Opportunities (8 Months)",full,"Virtual, Ontario, Canada",2021-10-12T02:39:11.233Z,"
                                              +

                                              We're now accepting applications for our 2nd round recruitment of Data Analyst (8 months) roles.

                                              +

                                              What is the opportunity?
                                              Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                              • Innovation & Technology
                                              • @@ -11688,170 +12120,311 @@ ebd637b5-2b16-4e86-b1f8-2ac1a82692ab,47794560,Scotiabank,Velocity Tech Program -
                                              • Enjoy a comfortable work environment with the option to dress casually

                                              -

                                              We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                              -

                                              -

                                              While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                              TAD2021

                                              +

                                              We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 24, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                              +

                                              While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                              -

                                              Join our Talent Community
                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                              JOB SUMMARY
                                              City: Virtual
                                              Address: Virtual
                                              Work Hours/Week: 37.5
                                              Work Environment: Office
                                              Employment Type: [[filter7]]
                                              Career Level: Student Job
                                              Application Deadline: 03/14/2021
                                              Platform: Technology and Operations

                                              Req ID: 295742
                                              Ad Code(s):

                                              -
                                              ",,https://jobs.rbc.com/ca/en/job/295742/Data-Analyst-Summer-2021-Student-Opportunities-8-Months-Only,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-25T21:39:36.628Z,False,0,16,53,https://talenthub.vectorinstitute.ai/jobs/47794799-data-analyst-summer-2021-student-opportunities-8-months-only-at-rbc,https://jobs.rbc.com/ca/en/job/295742/Data-Analyst-Summer-2021-Student-Opportunities-8-Months-Only,expired,2021-01-18T07:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -34e55cec-3aae-423e-a1ce-61047c198207,47829049,Layer 6,Machine Learning Engineer – Backend ☑️,on_site,"Toronto, ON, Canada",2021-01-18T16:10:42.958Z,"

                                              We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                              -

                                              We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                              -

                                              -

                                              As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                              -

                                              Must-have:

                                              -

                                              – BSc+ in Computer Science or similar
                                              – 3+ years of programming experience
                                              – Proven experience in designing and delivering a complex web application
                                              – Experience as a key contributor and leader on projects
                                              – Strong experience in Java and its ecosystem
                                              – Passionate about creating maintainable and performant software
                                              – Strong desire to learn and solve problems

                                              -

                                              Nice to have

                                              -

                                              – Experience with databases such as Elasticsearch
                                              – Experience with microservice architecture
                                              – Familiarity with data analysis or machine learning
                                              – Experience with Docker and Kubernetes
                                              – Comfortable with math (linear algebra, calculus)

                                              ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-02-17T16:10:45.084Z,False,5,0,84,https://talenthub.vectorinstitute.ai/jobs/47829049-machine-learning-engineer-backend-at-layer-6,,expired,2021-01-18T16:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -4134c8f9-a460-4afc-9945-10bb37b7291f,47838905,Roche,"Coop Student, Data Sciences (8 month assignment)",on_site,"Mississauga, ON, Canada",2021-01-18T19:36:33.088Z,"

                                              Title: Co-op Student, Data Science (8 month Internship)

                                              -

                                              Division: Product Development Data Science

                                              -

                                              Location: Mississauga, ON

                                              -

                                              -

                                              Job Purpose:

                                              +

                                              JOB SUMMARY
                                              City: Virtual
                                              Address: Virtual
                                              Work Hours/Week: 37.5
                                              Work Environment: Office
                                              Career Level: Student Job
                                              Position Level: PL11
                                              Application Deadline: 09/26/2021
                                              Req ID: 420348

                                              +

                                              +

                                              +

                                              +
                                              ",,https://jobs.rbc.com/ca/en/job/420348/Data-Analyst-Winter-2022-Student-Opportunities-8-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2021-10-25T20:51:00.000Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/87813386-data-analyst-winter-2022-student-opportunities-8-months-at-rbc,https://jobs.rbc.com/ca/en/job/420348/Data-Analyst-Winter-2022-Student-Opportunities-8-Months,expired,2021-10-12T02:39:00.000Z,import-xml-feed:RBC-Job-Feed,,Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +66405675-c254-407b-9b6c-a3b30141f7ec,88249636,"Deeplite, Inc.",AI Research Scientist,temporary,"Toronto, ON, Canada",2021-10-13T14:20:53.736Z,"

                                              Based in Montreal and Toronto, Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones and vehicles.  Deeplite was named to the 2020 CB Insights AI100 list of top 100 privately held AI companies and has been featured by Gartner, Forbes, and ARM AI as a premier Edge AI innovator. 

                                              +

                                              At Deeplite, we are tackling inference optimization of deep neural networks, making them faster and energy-efficient from cloud to edge computing. Our solution leverages state-of-the-art technology from elite universities to make deep neural networks applicable for any device, and our team works hard on the iterative evolution of the science behind deep neural networks to directly improve daily life.

                                              +

                                              It's a great time to join Deeplite! The talent on our team is second to none and you will have a very rewarding experience working with our team to bring novel innovation to the AI market. Integrity, fun and a passion for bringing AI to everyday life is what we all have in common!

                                              +

                                              Our team is growing and we’re looking to hire a AI Research Scientist.

                                              +

                                              We are looking for people who share our vision of democratizing deep learning and contribute to our mission and build collaborations with academia. The postdoctoral researcher or PhD student will have the opportunity to define and lead research directions and contribute to the AI research community by publishing papers, securing patents, collaborating with leading academic institutions, and speaking and participating at international conferences.

                                              +

                                              What You'll Be Doing

                                              +
                                                +
                                              • Perform research to advance the science and technology of Deeplite's engine
                                              • +
                                              • Closely follow academic works in the field of deep learning/reinforcement learning
                                              • +
                                              • Influence progress of relevant research communities by producing publications
                                              • +
                                              • Collaborate and increase productivity on existing research projects
                                              • +
                                              +

                                              What We Need To See

                                              +
                                                +
                                              • Ph.D. or close to completion
                                              • +
                                              • Experience in deep learning or reinforcement learning
                                              • +
                                              • Interested in research and solving real world problems
                                              • +
                                              • Familiar with any deep learning framework such as TensorFlow, Pytorch, etc.
                                              • +
                                              • Strong publication record or alternative relevant innovation experience
                                              • +
                                              +

                                              This is a unique opportunity to change the way deep neural networks are used in industry and create new opportunities for AI technologies. Your work has the potential to power products and services that millions of users depend on.

                                              ",,https://deeplite.recruitee.com/o/ai-research-scientist-toronto,marjorie@deeplite.ai,http://www.deeplite.ai,,,2021-11-12T16:04:27.452Z,False,2,7,121,https://talenthub.vectorinstitute.ai/jobs/88249636-ai-research-scientist-at-deeplite-inc,,expired,2021-10-13T14:20:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Technology (Product Development),Entry Level,PhD,Re-Posting an Expired Job, +1c321b91-3c09-4e38-829b-d7205ae1e661,88490384,Vector Institute,"Applied Machine Learning Specialist (ML Operations) AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2021-10-14T05:44:28.580Z,"
                                              +

                                              POSITION OVERVIEW

                                              -

                                              This role is an opportunity to work with Data Scientists in Biostatistics and Statistical Programmer Analysts (SPA) in providing high quality statistical expertise and programming to assigned Clinical Development studies. This is an opportunity to learn and contribute to many aspects of drug development where data scientists are involved. This includes strategic input to protocols, and study start up activities, developing study statistical programming solutions and supporting the analyses laid out in analysis plans. This internship allows candidates to familiarize themselves with the objectives and expectations set by both Biostatistics and Statistical Programming and Analysis (SPA) management.

                                              +

                                              As an Applied ML Specialist with Machine Learning Operations (MLOps) expertise, you will contribute to developing reusable machine learning (ML) systems and software to apply and scale research breakthroughs in ML and artificial intelligence (AI). You will collaborate with some of the best and brightest ML engineers and scientists at Vector and leading industry and healthcare organizations. You will collaborate with some of the best and brightest ML researchers.

                                              +

                                              +

                                              KEY RESPONSIBILITIES

                                              -

                                              Job Accountabilities may include:

                                                -
                                              • A member of cross-functional Study Management Teams
                                              • -
                                              • With assistance of senior statistical scientists, reviews study protocols, Data analysis plans and statistical analysis plans.
                                              • -
                                              • With assistance of senior statistical programmer analyst (SPA) program deliverables (tables, listings and graphs) for clinical study according to requirements (specification and standards). May review and implement dataset specification for simple derived variables.
                                              • -
                                              • Reviews and contributes to study initiation activities
                                              • -
                                              • Study Conduct: Reviews case report forms to ensure protocol objectives are met and project standards are maintained. Contributes to user acceptance testing of data collection systems and quality control of filing and regulatory documents for statistical accuracy. Develops statistical programs as necessary to perform analyses, Review and approve analyses produced by statistical programming, ensuring the accuracy and validity of results.
                                              • -
                                              • Analysis & Reporting: Review the clinical study report, and with assistance of senior scientists and cross-functional team members. Reviews global health authority documents and regulatory response for health authority submissions
                                              • -
                                              • Contributes to study publications and presentations, and provides analytical support for exploratory activities such as personalized healthcare biomarker development and PK/PD modelling.
                                              • +
                                              • + Design and develop reproducible ML pipelines and scalable ML systems; +
                                              • +
                                              • + Deliver software and models for ML development projects following an agile methodology with teams that can include Vector Applied ML Specialists, Applied ML Scientists, professional staff, researchers, students, and sponsors; +
                                              • +
                                              • + Design and implement reference architectures for ML systems for training as well serving workloads that apply ML research to real-world problems using public and private datasets; +
                                              • +
                                              • + Design, develop and contribute to open-source software that applies ML research techniques to common problems; +
                                              • +
                                              • + Research and extend open source MLOps tools and frameworks that address the full life cycle of end-to-end machine learning systems; +
                                              • +
                                              • + Mentor sponsor engineers and student researchers on industry collaboration projects that apply ML research to shared problems, mentoring on engineering best practices, and assisting with operational issues; +
                                              • +
                                              • + Develop prototypes and proofs of concept; +
                                              • +
                                              • + Report and present MLOps best practices and outcomes for team efforts including demos, status, and results; and, +
                                              • +
                                              • Other duties as assigned.

                                              -

                                              Qualifications:

                                              +

                                              PROFILE OF THE IDEAL CANDIDATE

                                              +

                                                -
                                              • Currently enrolled in a Masters or PhD level program in Statistics, Biostatistics, Data Science or similar areas of academic discipline
                                              • -
                                              • Programming skills and experience using statistical software such as R
                                              • -
                                              • Good Communication and Collaboration Skills (including interpersonal skills to contribute effectively in cross-functional team settings, ability to build collaborative relationships with scientific and non-scientific partners)
                                              • -
                                              • Demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges; finds solutions to technical problems
                                              • -
                                              • Good knowledge of English in a business environment
                                              • + Bachelor\'s degree in computer science, mathematics, electrical engineering, or related discipline; Master’s degree preferred +
                                              • +
                                              • + 3+ years of experience in software engineering +
                                              • +
                                              • 1+ years experience in MLOps
                                              • +
                                              • + Experience applying building ML systems for training and inference +
                                              • +
                                              • + Good understanding of CI/CD/CT as it relates to machine learning lifecycle +
                                              • +
                                              • + Demonstrated experience in machine learning and/or statistics +
                                              • +
                                              • + Demonstrated analytical skills to identify signal in data and feasibility of prediction +
                                              • +
                                              • + Expert Knowledge and experience with Python for ML and DevOps. Experience with C++, Java or Scala is preferred +
                                              • +
                                              • + Experience working on teams that land high quality software successfully in production is preferred +
                                              • +
                                              • + Experience with MLflow, Airflow, Seldon core and Kubernetes is preferred +
                                              • +
                                              • + Understanding of model maintenance, retraining and evaluation frameworks is a plus +
                                              • +
                                              • + Experience in leading open-source deep learning software frameworks (PyTorch, Tensorflow, and CUDA) is preferred +
                                              • +
                                              • + User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                                              -

                                              Qualified candidates are encouraged to submit cover letter and resume no later than February 3, 2021.

                                              -

                                              This position is not eligible for relocation support.

                                              -

                                              This position is open to applicants legally authorized to work in Canada.

                                              +

                                              Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on October 31, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                              -

                                              NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                              +

                                              Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                              -

                                              Roche is an equal opportunity employer and prohibits unlawful discrimination based upon any legally protected ground. Roche will make a good faith effort to accommodate the individual needs of applicants with disabilities in our recruitment process

                                              +

                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                              -

                                              AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                              -

                                              Roche is an equal opportunity employer.

                                              -

                                              Vocational & Development Programs, Vocational & Development Programs > Internship

                                              ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202101-100806&locale=en&title=Coop+Student%2C+Data+Sciences+%288+month+assignment%29&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-02-08T15:56:00.000Z,False,0,16,67,https://talenthub.vectorinstitute.ai/jobs/47838905-coop-student-data-sciences-8-month-assignment-at-roche,,expired,2021-01-18T19:36:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Internship/Co-op,Bachelors Degree,New Posting, -66c0b0b9-7301-4244-a0a9-1bebb768132e,48143723,Loblaw Companies Ltd.,"Data Engineering Analyst, Identity Management",on_site,"1 Presidents Choice Circle, Brampton, ON; 500 Lakeshore Ave, Toronto, ON",2021-01-21T07:12:24.869Z,"
                                              -
                                              -
                                              -

                                              Location:

                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                              -

                                              -

                                              The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                              -

                                              -

                                              -

                                              -

                                              Why is this role important?

                                              -


                                              Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!
                                              If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                              The Data, Insights & Analytics (DI&A) team at Loblaw is hiring an IDM Data Engineering Analyst to become a key member of the team charged with delivering a major change to the way Loblaw manages data about individuals. Reporting to the Senior Manager – DSC, the role will be a key member of a small multinational team of professionals who will build out and operate a new data supply chain (DSC) for the DI&A identity program.

                                              -

                                              -

                                              You love data. You love to work out how to most efficiently move it around, to understand its flows and behaviours and to overcome insurmountable obstacles to wring the last byte of useful information from every data stone. You’re an expert in ETL but you are happy to try anything and pitch in wherever needed. You think being called a “Data Geek” is a high compliment. Whenever you watch the scene in The Matrix where Neo starts to actually see the green flowing data of “the Matrix” you totally bounce up & down on your couch and point to the TV excitedly yelling “Me too, me too!”.

                                              -

                                              Does all that sound like you? If so, read on!

                                              -

                                              -

                                              The role will require top-flight technical “Data Ninja” know-how, as well as excellent interpersonal and communication skills. Technical expertise in ETL design & management are very important parts of the role. As a key plank in the company’s data strategy the nascient identity programme also has heavy interdependency with other skill areas and disciplines such as Data Engineering, Data Governance, Data Management, Data Sciences & Analytics and Privacy & Consent management and the DSC is a core part of this programme

                                              -

                                              The successful candidate will be a creative problem-solver with a passion for using data to solve business problems.

                                              -

                                              -

                                              What You'll Do:

                                              -

                                              -

                                              · Collaborate with the Director – DSC, your IDM colleagues the identity programme team and colleagues across DI&A to provide thought leadership to a team of data professionals, engineers and developers responsible for designing, building and maintaining a new data supply chain (DSC) for data about individuals across Loblaw.

                                              -

                                              · Conduct ETL sampling, testing, analysis, solutioning and execution for new data lines of supply between business units and DI&A

                                              -

                                              · Manage resources both directly in the DSC team and indirectly as an influencer across DI&A.

                                              -

                                              · Provide advice, consultancy and advocacy of data sourcing and ETL concepts, know-how and best practices across the organization.

                                              -

                                              · Be a go-to SME for ETL expertise

                                              -

                                              · Assist with management of the DSC workflows, knowledge base, intellectual property assets and backlog.

                                              -

                                              · Represent the identity programme generally and the DSC Team specifically in internal and external meetings, conferences and events as a DSC SME.

                                              -

                                              · Be a total Data Ninja!

                                              -

                                              -

                                              What You'll Bring:

                                              -

                                              · Creative, original thinking and can-do mindset – be our secret weapon of positive brilliance!

                                              -

                                              · Experience as a Data professional. This could include hands-on experience with data architecture, data modelling, data quality, data governance, data engineering, identity resolution, ETL, natural language processing, AI/ML, metadata management, master data management, etc.

                                              -

                                              · Experience in working with dynamic, complex data supply chains in business environments a plus

                                              -

                                              · Experience working with people data and familiarity with PII/PHI concepts a plus

                                              -

                                              · Tertiary qualification in Computer Science, Engineering or related field.

                                              -

                                              · Agile know-how mandatory, qualifications/certification preferred

                                              -

                                              · Hands-on familiarity with modern data environments including relational, NoSQL & Graph databases (e.g. Teradata, Oracle, SQL Server, SFDC, MongoDB, Firebase, Cassandra, Neo4J etc) and big data technologies (Hadoop, Hive, Amazon Athena)

                                              -

                                              · Familiarity with ETL systems (e.g. Talend, Informatica, Alteryx, OpenRefine, Apache NiFi) is a must

                                              -

                                              · Hands-on experience & fluency in Cloud-native technology solutions.

                                              -

                                              · Ability to work in a global team located across continents and time zones, and a flexible approach to working hours.

                                              -

                                              · Familiarity with 3rd & 4th generation scripting languages & platforms (R, JavaScript, Python etc)

                                              -

                                              · Excellent communication and interpersonal skills, approaching challenges with energy and passion.

                                              -

                                              · Familiarity with Google Cloud Platform (GCP) frameworks a plus

                                              -

                                              · Ability to take initiative, multi-task and work in a fast-paced environment

                                              -

                                              · Strong detail orientation is essential in this role

                                              -

                                              · A team player and self-starter

                                              +

                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                              +
                                              ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=152&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-11-13T15:26:09.738Z,False,0,2,58,https://talenthub.vectorinstitute.ai/jobs/88490384-applied-machine-learning-specialist-ml-operations-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2021-10-14T05:44:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, +a2601975-1b03-49a4-b629-140a059d0c00,88761851,TD Bank Group,Senior Analytics Implementation Analyst (Developer),on_site,"Toronto, ON",2021-10-14T19:51:02.643Z,"
                                              +

                                              Company Overview

                                              +
                                              +

                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                              +

                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                              +
                                              +

                                              +

                                              Department Overview

                                              +
                                              +

                                              The Digital Data and Analytics (DDA) group is looking for highly motivated and driven individuals to join a team of analytics implementation specialists in a fast-paced environment supporting multiple digital & mobile platforms and applications across many lines of business within TD Bank Financial Group (Canada & U.S.)

                                              +

                                              Reporting into the Manager of Measurement Solutions, this position is accountable for implementation, continued integration and knowledge transfer of our analytics stack including Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services and Ensighten.

                                              +

                                              As a whole, the DDA team is responsible for extracting business and customer value from digital data. We provide automated reporting and visualization to business partners, and use advanced analytics, data science and machine learning to build data-driven solutions to deliver richer, more connected personalized experiences to our customers.

                                              +

                                              Within DDA, the Measurement Solutions team is responsible for managing and enhancing the analytics capabilities of TD Bank digital & mobile projects, ad-hoc tagging requests and marketing support with best-in-class measurement strategies.

                                              +
                                              +

                                              +

                                              Job Description

                                              +
                                                +
                                              • Collaborate with our digital stakeholders to define KPIs, reporting requirements, and overall measurement strategy for our digital and mobile customer journeys
                                              • +
                                              • Translate business requirements into technical specifications for custom digital analytics implementation using a combination of data layer, processing rules, SAINT classification, report suite configuration, custom JavaScript, JSON and applicable integrations with other systems
                                              • +
                                              • Manage daily operations and implementation of TD’s analytics stack (Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten) and 3rd party marketing tags (DoubleClick, Rakuten, Facebook, etc.)
                                              • +
                                              • Develop and own all implementation documents such as SDR, Data Layer specifications, custom JavaScript
                                              • +
                                              • Ensure the timely delivery and accuracy of documentation and technical coding (HTML, JavaScript, ActionScript) via our Tag Management System
                                              • +
                                              • Collaborate with technology teams on implementation of analytics solutions, including guidance on data layer implementation and troubleshooting, data feeds and integrations with other systems
                                              • +
                                              • Keep abreast of product updates (Adobe, Ensighten), best practices and proactively follow up with required changes in our implementation and appropriate communications
                                              • +
                                              • Provide consultative service, training and validation support to quality assurance/testing teams.
                                              • +
                                              +

                                              +

                                              Requirements

                                              +
                                                +
                                              • 4+ years’ experience in analytics, with digital experience preferred
                                              • +
                                              • 5+ years’ experience of web development including JavaScript, jQuery and Angular
                                              • +
                                              • Strong understanding of JSON structures and best practices
                                              • +
                                              • Strong understanding of Native Mobile development standards
                                              • +
                                              • Strong understanding of JavaScript & Node.js & DOM manipulation, web markup, including HTML5 and CSS3
                                              • +
                                              • Expertise with tag management tools (DTM, Adobe Launch, Tealium, Ensighten) and their configuration
                                              • +
                                              • All-hands experience in implementing/troubleshooting/deploying the Adobe stack, Google 360 and/or 3rd party marketing tags using DTM or Adobe Launch or Ensighten
                                              • +
                                              • Expert level knowledge in developing Adobe Analytics Solution Design Reference (SDR)
                                              • +
                                              • Understanding of Adobe Analytics processing rules, SAINT classifications, report suite configuration, and data feeds
                                              • +
                                              • Experience architecting a Data Layer Specification and guiding the development team on implementation and troubleshooting
                                              • +
                                              • Experience debugging Adobe Analytics utilizing browser network calls, extensions, and tools such as Fiddler, Charles or Omnibug
                                              • +
                                              • Ability to own and work independently on assigned deliverables, but also collaborate with multiple team members and stakeholders when necessary
                                              • +
                                              • Solid communications skills – verbal and written
                                              • +
                                              • Strong time-management skills and ability to work on multiple projects at once
                                              • +
                                              +

                                              +

                                              Additional Information

                                              +
                                              #businessintelligence
                                              +

                                              +

                                              Hours

                                              +
                                              37.5
                                              +

                                              +

                                              Inclusiveness

                                              +

                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                              +

                                              +
                                              ",,https://jobs.td.com/en-CA/jobs/13197080/senior-analytics-implementation-analyst-developer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-10-18T19:56:20.905Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/88761851-senior-analytics-implementation-analyst-developer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13197080/senior-analytics-implementation-analyst-developer-toronto-ca/,expired,2021-10-14T19:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +60ba2e00-5e95-47bc-bbda-d86ed19bd3fe,88857622,Manulife,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-10-14T21:38:04.090Z,"
                                              +
                                              +
                                              +

                                              Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.

                                              +

                                              Job Description

                                              -

                                              How You’ll Succeed:

                                              -

                                              At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                              -

                                              If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                              +

                                              Summary

                                              -

                                              In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                              +

                                              Calling on a Machine Learning Engineer who can seamlessly combine tech know-how with business acumen to go from a promising ML experiment to a shipped product, with real-world impact.

                                              +


                                              You will join the Canadian Advanced Analytics team to focus on delivering machine learning models into production and accelerate the development of ML solutions across Canada Segment. You will enable data scientists to translate models they create into optimized full-fledged AI/ML products and improve the maintainability of models by providing a common set of infrastructure and monitoring capabilities (MLOps).

                                              +


                                              Not only are you experienced in ML tech stack, but you have a firm grasp of Azure PaaS technologies, platforms and applications, and have intimate knowledge of how best to customize these for our business, to help us become more efficient. A true greenfield opportunity, you will join the team as we embark on cloud native architecture.

                                              -

                                              Employment Type:

                                              Full time

                                              +

                                              Key Accountabilities

                                              +
                                                +
                                              • Build end-to-end machine learning solutions to solve complex customer problems

                                              • +
                                              • Manage data science infrastructure to streamline model development and deployment

                                              • +
                                              • Working in collaboration with customers across Canadian business to plan, scope, implement and sustain predictive analytics solutions

                                              • +
                                              • Architecting, developing, optimizing and owning the deployment of ML functionalities into production systems

                                              • +
                                              • Design and evaluate new approaches for handling high-volume real-time data streams in an inferencing environment

                                              • +
                                              • Defining best practices for code, APIs, and frameworks that will lay the foundation for MLOps capabilities

                                              • +
                                              • Proposing appropriate tools (languages/libraries/frameworks) for implementing projects

                                              • +
                                              • Working closely with Infrastructure architects to design scalable and cost-effective solutions

                                              • +
                                              +
                                                +
                                              • Perform ETL to build model features

                                              • +
                                              • Following Software Deployment and QA processes and MLOps best practices

                                              • +
                                              • Develop measurements and feedback systems

                                              • +
                                              • Mentor associates and peers on DevOps/MLOps best practices

                                              • +

                                              -

                                              Type of Role:

                                              Regular

                                              +

                                              +

                                              Key Experiences:

                                              +
                                                +
                                              • At least 3 years of hands-on experience with large-scale systems in data science / software engineering

                                              • +
                                              • Strong software development skills (+3 years working experience) with proficiency in Python

                                              • +
                                              • Advanced working SQL knowledge and experience working with relational databases and SQL

                                              • +
                                              • Minimum 1 year of experience in productionizing code through DevOps pipeline (git, Jenkins pipeline, code scan) the last 3 years

                                              • +
                                              • Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, RDBMS and NoSQL Databases

                                              • +
                                              • Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks, Azure Data Factory will be an asset.

                                              • +
                                              • Experience with Infrastructure as code (Terraform/ARM) desirable but not mandatory

                                              • +
                                              • Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, GraphQL, etc

                                              • +
                                              • Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark

                                              • +
                                              • An ability to balance a sense of urgency with shipping high quality and pragmatic solutions

                                              • +
                                              • Experience with user interface design (UX, PowerBI, node.js) and iterative customer-driven design processes would be an asset.

                                              • +

                                              -

                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                              +

                                              Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.

                                              +

                                              +

                                              About John Hancock and Manulife

                                              +

                                              John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com.

                                              +

                                              One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and education savings plans. Additional information about John Hancock may be found at johnhancock.com.

                                              -

                                              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                              +

                                              Manulife is an Equal Opportunity Employer

                                              +

                                              +

                                              At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

                                              +

                                              +

                                              It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

                                              -
                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Analyst--Identity-Management_R2000198166,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-01-28T14:42:04.344Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/48143723-data-engineering-analyst-identity-management-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Analyst--Identity-Management_R2000198166,expired,2021-01-21T07:12:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -35878d00-ee7e-4c51-af45-e35b05941c71,48144591,Deloitte,"Manager, AI Strategy, Omnia AI - Toronto",on_site,"Toronto, Ontario, Canada",2021-01-21T07:18:36.555Z,"
                                              -

                                              Job Type: Permanent
                                              Primary Location: Toronto, Ontario, Canada
                                              All Available Locations: Toronto

                                              +
                                              ",,https://manulife.wd3.myworkdayjobs.com/en-US/MFCJH_Jobs/job/Waterloo-Ontario/Machine-Learning-Engineer_JobReq0438605-2,info@manulife.ca,https://www.manulife.com/en/careers/why-join-us.html,,,2021-10-28T16:46:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/88857622-machine-learning-engineer-at-manulife,,expired,2021-10-14T21:38:00.000Z,import-xml-feed:Manulife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +31b99f70-c8ad-4586-9722-40e9e9322c5d,88913604,Scotiabank,VELOCITY - Data Scientist - Winter 2022,on_site,Canada : Ontario : Toronto,2021-10-15T04:46:14.083Z,"

                                              -

                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                              Partner with clients to solve their most complex problems
                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                              +

                                              +

                                              +

                                              Requisition ID: 119281

                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                              +

                                              + +

                                              VELOCITY – Data Scientist – Winter 2022

                                              +

                                              WORK TERM: 4 Months - Winter 2022 (January - April)

                                              +

                                              +

                                              What Can I Expect from the Velocity Program?

                                              +


                                              This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                              +

                                              +

                                              You will…

                                              +
                                              • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                              • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                              • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                              • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                              • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                              • Present results to business line stakeholders and help implement real data-driven changes
                                              • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                              • Experiment & learn!
                                              • +
                                              +

                                              +

                                              You Are?

                                              +

                                              You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                              +

                                              Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                              +

                                              +

                                              You have basic knowledge in…

                                              +
                                              • Computer Science, Electrical/Computer/Software Engineering, or Mathematics
                                              • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
                                              • Big Data/Cloud ecosystem (e.g. GCP)
                                              • Experimental design, statistical analysis, machine learning
                                              • Python programming
                                              • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                              • UNIX tools and shell scripting
                                              • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                              • Visualization tools like PowerBI
                                              • Kubernetes
                                              • Git Workflows (Pull Request, Code Review, Branching)
                                              • +
                                              +

                                              +

                                              How to apply?

                                              +

                                              For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                              +

                                              +

                                              1) Complete your PLUM Profile here

                                              +

                                              2) Take a screenshot of your completed PLUM profile.

                                              +

                                              3) Complete a very short one-way video interview by clicking here

                                              +

                                              4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                              +

                                              +

                                              We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                              +

                                              +

                                              Location(s): Canada : Ontario : Toronto

                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                              ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-&-Business-Analysis-8-Months-%28Winter-Summer-2022%29-1-ON/550237317/,feed-importer@jobboard.io,,,,2021-10-25T20:51:00.000Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/88913604-velocity-data-scientist-winter-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Data-&-Business-Analysis-8-Months-%28Winter-Summer-2022%29-1-ON/550237317/,expired,2021-10-15T04:46:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +7573036c-b1c8-444d-8be7-e88c3258ed12,98164794,Deloitte,"Senior Consultant, AI Strategy - AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2021-12-09T02:43:11.297Z,"
                                              +

                                              Job Type: Permanent
                                              Primary Location: Toronto, Ontario, Canada
                                              All Available Locations: Toronto

                                              +

                                              Partner with clients to solve their most complex business problems
                                              Be encouraged to deepen your technical skills…whatever those may be
                                              Lead projects and teams to make an impact that matters

                                              -
                                              -
                                              -

                                              -

                                              Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                              +
                                              +

                                              +

                                              Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                              -
                                              -
                                              -

                                              What will your typical day look like?

                                              -

                                              +
                                              +

                                              What will your typical day look like?

                                              -

                                              As a Manager, AI Strategy you will be responsible for generating, leading and managing a portfolio of Deloitte’s Omnia AI Strategy services engagements (projects) within your focus area. The role includes developing and nurturing client relationships, leading project teams, coaching and mentoring Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm.

                                              -

                                              This role has full life-cycle responsibility over AI Strategy projects, which includes responsibility for identifying opportunities, proposal development and pursuit assistance, project delivery, team leadership and team performance, quality of our project deliverables and engagement financials.

                                              -

                                              Specifically, you will:

                                              -
                                              • Offer expertise in Artificial Intelligence Strategy, building out of AI capabilities and operating model, as well as their application towards creation of business value for our clients
                                              • Be instrumental in growing and mentoring a pool of talented AI Strategy practitioners, participate in and drive sales opportunities, and display eminence in various strategic initiatives across Omnia AI, Deloitte and the external marketplace
                                              • Apply deep knowledge of disruptive trends and competitor activity to advise clients on their AI Strategy
                                              • Design AI roadmaps for clients based on readiness, aspirations and vision
                                              • +

                                                As a Senior Consultant, AI Strategy - AI & Analytics Academy, you will work directly with the AI & Analytics Academy Lead to help design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of both executives and technical/ quantitative professionals from client organizations.

                                                +

                                                In this role, you will:

                                                +
                                                • Be part of a collaborative team analyzing client issues and developing solutions
                                                • Help analyze and diagnose client business issues to develop, recommend, and communicate creative approaches and solutions
                                                • Enable the Academy team and managers to develop proposals and participate in sales/business development efforts within the practice
                                                • Contribute to knowledge sharing and practice development efforts
                                                • Collaborate on designing tailored AI and Advanced Analytics learning programs
                                                • Help with the development and/or refinement of frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                                • Support the customization of existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                                • Collaborate with your peers and managers to prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                                • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                                • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                                • Design pre and post program surveys to assess impact of learning programs
                                                • Support the delivery of tailored AI and Advanced Analytics learning materials
                                                • Coordinate all capabilities required to deliver on the program by working with the team to ensure a seamless delivery of the learning program by leveraging the following enablers:
                                                • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                                • People: Participate in training and organization sessions for Client and Deloitte facilitators and co-facilitators to help build a high-performing Faculty team
                                                +

                                                +
                                                -
                                                -
                                                -

                                                About the team

                                                -

                                                +
                                                +

                                                About the team

                                                -

                                                Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                -

                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across multiple industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics and/or AI domains.

                                                +

                                                Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                +

                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                                -
                                                -
                                                -

                                                Enough about us, let’s talk about you

                                                -

                                                +
                                                +

                                                Enough about us, let’s talk about you

                                                You are someone with:

                                                -
                                                • “Big Picture” thinker, with the ability to achieve excellence through effective leadership and inspiring teams to high performance
                                                • 5+ years of consulting and/or life science & healthcare industry experience in a Strategic role with Tier 1 Professional Services, Consulting or Advisory Firms and/or other leading life sciences and healthcare organizations, including demonstrated experience in data, AI or advanced analytics as business enablers/value driver.
                                                • Direct experience in driving Data, Analytics and/or AI strategy development and implementation in Canadian LSHC organizations.
                                                • Experience in strategy and/or analytics/AI enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                • Demonstrated experience with business development, including develop/maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies
                                                • Demonstrated experience with managing analytics/AI implementation engagements end-to-end including lead planning & budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solution from top management to all levels; direct on-time, quality delivery of work products; manage engagement economics, issues and risks.
                                                • If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.
                                                • +
                                                  • 3 to 5 years’ work experience developing cutting-edge learning programs ideally in the data, analytics or AI domains
                                                  • Completed Undergraduate Bachelor’s Degree in Human Resource Management, Industrial/Organizational Psychology, Instructional Design or related field preferred
                                                  • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                                  • Professional services, consulting, or advisory experience is an asset
                                                  • Exceptional senior stakeholder management skills
                                                  • Excellent written and verbal communication skills and strong attention to detail
                                                  • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                                  • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                                  • Commitment to quality, ethics and confidentiality
                                                  • Bilingualism is an asset
                                                  • Some travel may be required
                                                  +


                                                  If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
                                                  The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                @@ -11864,671 +12437,676 @@ ebd637b5-2b16-4e86-b1f8-2ac1a82692ab,47794560,Scotiabank,Velocity Tech Program -


                                                The next step is yours

                                                Sound like The One Firm. For You?

                                                -

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                -

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-Toronto-ON-M5C-3G7/700278900/,feed-importer@jobboard.io,,,,2021-02-11T14:59:57.318Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/48144591-manager-ai-strategy-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-Toronto-ON-M5C-3G7/700278900/,expired,2021-01-21T07:18:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, -68e874ca-ca92-4280-b528-01caa7d383b4,48145222,RBC,"ESG Data Analyst, Corporate Governance & Responsible Investment",on_site,"Toronto, Ontario, Canada",2021-01-21T07:21:16.184Z,"
                                                -

                                                What is the opportunity?

                                                -

                                                RBC Global Asset Management's Corporate Governance & Responsible Investment (CGRI) team, which supports RBC GAM’s investment teams in integrating environmental, social and governance (ESG) factors into their investment processes, is seeking a Data Analyst to join our team. In this position, you will work closely with other members of the CGRI team to develop the data and tools needed to integrate ESG into the investment processes. In addition, you will work on analysis of data on investments (for example, the potential implications of climate data on investment outcomes). Please visit: https://www.rbcgam.com/en/ca/ for more information.

                                                -

                                                -

                                                What will you do?

                                                -
                                                  -
                                                • Help drive the data strategy for the team, moving towards a scalable infrastructure by understanding and managing the team’s data needs.
                                                • -
                                                • Partner with GAM’s Data Governance Office and Technology Group to take advantage of, and contribute meaningfully to, GAM’s investment data sets, tools and analytics that are available for use by the investment teams.
                                                • -
                                                • Implement and automate ESG processes (such as carbon footprinting, ESG and climate dashboards); data onboarding
                                                • -
                                                • Design and develop productivity enhancing tools for data management and exploration
                                                • -
                                                • Proactively participate in project development strategies, system design, and delivery time lines assessment
                                                • -
                                                • Perform the analysis, design, development and review of production scripts
                                                • -
                                                • Communicate with portfolio managers and research analysts to understand their data requirements
                                                • -
                                                • Keep abreast of research into new and emerging technologies such as machine learning and advanced analytics, and identify opportunities to apply these in the team’s research activities.
                                                • -
                                                +

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan. We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                +

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                -

                                                What do you need to succeed?

                                                -

                                                Must Have

                                                -

                                                -
                                                  -
                                                • Degree of background in information technology, computer science or mathematics
                                                • -
                                                • Experience with Python and/or R and/or Matlab
                                                • -
                                                • Database development experience (SQL Server) and knowledge in data analytics
                                                • -
                                                • Demonstrate strong technical ability and a keen interest in new and emerging technology
                                                • -
                                                • Ability to process information with high levels of accuracy and attention to detail
                                                • -
                                                -

                                                -

                                                -

                                                Nice to have

                                                -
                                                  -
                                                • Experience in (ESG) Environmental, Social and Governance
                                                • -
                                                • Financial industry experience
                                                • -
                                                • Knowledge of data as it relates to material ESG factors, particularly climate
                                                • -
                                                +

                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/796578500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-01-08T16:01:21.398Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/98164794-senior-consultant-ai-strategy-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy-AI-&-Analytics-Academy%2C-Omnia-AI-ON-M5C-3G7/796578500/,expired,2021-12-09T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +9710b039-63c0-4fc3-908a-688c6e4b83a0,98213735,TELUS,Data Scientist - Data Analytics,on_site,"Ontario, Canada",2021-12-09T07:19:03.865Z,"
                                                +
                                                +

                                                +
                                                +

                                                Join our team

                                                -

                                                -

                                                -

                                                What’s in it for you?

                                                +

                                                Our Team – TELUS Business Solutions Marketing BI - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.

                                                -

                                                We thrive on the challenge to be our best, apply progressive thinking and to keep growing and working together to deliver trusted advice and investment products that help our clients thrive and communities prosper. We care about each other and in reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                +

                                                Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

                                                +

                                                +

                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                +

                                                +

                                                As a Data Scientist in the team, you will be working with Business Stakeholders and the campaign team to identify use cases, build machine learning models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

                                                +

                                                +

                                                Here’s how

                                                  -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable
                                                • -
                                                • Leaders who support your development through coaching and managing opportunities
                                                • -
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • -
                                                • Flexible work/life balance options
                                                • -
                                                • Opportunities to do challenging work and to take on progressively greater responsibilities
                                                • +
                                                • You will build pipelines to bring data required to support the use case
                                                • +
                                                • You will develop new machine learning models to enable intelligent campaigns
                                                • +
                                                • You will productionalize machine learning models and automate processes
                                                • +
                                                • Collaborate with business stakeholders to enable new use cases for TELUS Business
                                                • +
                                                • Effectively communicate with leadership and stakeholders in explaining the model and outcomes
                                                -

                                                -

                                                +
                                                +
                                                +
                                                +

                                                +
                                                +

                                                +

                                                You’re the missing piece of the puzzle

                                                -

                                                About RBC
                                                Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                -


                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                +
                                                  +
                                                • You have experience leading large scale projects and partnering with multiple stakeholders
                                                • +
                                                • You can manage ambiguity and change with a learning and growth mindset
                                                • +
                                                • You love digging into quantitative and qualitative data
                                                • +
                                                • You have experience working with customer data, building recommendation engines, personalized offer management, lifetime value and propensity modeling
                                                • +
                                                • You have experience in building machine learning algorithms
                                                • +
                                                • You have worked with R/Python, SQL, spark, big data technologies or cloud
                                                • +
                                                • You have data engineering experience and ability to extract data from various sources
                                                • +
                                                • You have 5+ years of experience in a similar role and/or related education with demonstrated performance
                                                • +

                                                -

                                                Inclusion and Equal Opportunity Employment
                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                +

                                                Great to haves

                                                +
                                                  +
                                                • Prior telecommunications or B2B marketing experience
                                                • +
                                                • Experience with Cloud / Salesforce technologies
                                                • +
                                                +
                                                +
                                                +
                                                ",,https://careers.telus.com/job/Vancouver-Data-Scientist-Data-Analytics-Brit/551845117/,feed-importer@jobboard.io,,,,2022-01-08T16:04:21.680Z,False,0,3,60,https://talenthub.vectorinstitute.ai/jobs/98213735-data-scientist-data-analytics-at-telus,,expired,2021-12-09T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +7c460c0e-c62a-4751-b0c1-9938c9311853,101110000,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2021-12-26T02:43:07.036Z,"

                                                Job Type: Permanent
                                                Primary Location: Multiple Locations, Canada
                                                All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                                +

                                                Learn from deep subject matter experts through mentoring and on the job coaching
                                                Partner with clients to solve their most complex problems
                                                Be empowered to lead and have impact with clients, our communities and in the office

                                                +
                                                +
                                                +

                                                +

                                                Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                                +
                                                +
                                                +

                                                What will your typical day look like?

                                                +
                                                +

                                                As a Senior Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                                +

                                                In this role, you will :

                                                +
                                                • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                                • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                                • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                                • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                                • +
                                                +
                                                +
                                                +
                                                +

                                                About the team

                                                +
                                                +

                                                Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                +

                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                                +
                                                +
                                                +
                                                +

                                                Enough about us, let’s talk about you

                                                +
                                                +

                                                You are someone with:

                                                +
                                                • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                                • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                                • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                                • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                                • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                                • Master of Business Administration or Masters of Management in Analytics is preferred
                                                • +
                                                +


                                                If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                                +

                                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                +
                                                +
                                                +
                                                +

                                                Why Deloitte?

                                                +

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                +
                                                • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                • +
                                                +


                                                The next step is yours

                                                +

                                                Sound like The One Firm. For You?

                                                +

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                +

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                -

                                                JOB SUMMARY

                                                -

                                                City: Toronto
                                                Address: 155 Wellington St. West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 02/02/2021
                                                Req ID: 313379

                                                -

                                                Posting Notes:

                                                -
                                                ",,https://jobs.rbc.com/ca/en/job/313379/ESG-Data-Analyst-Corporate-Governance-Responsible-Investment,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-02-04T21:42:13.813Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/48145222-esg-data-analyst-corporate-governance-responsible-investment-at-rbc,https://jobs.rbc.com/ca/en/job/313379/ESG-Data-Analyst-Corporate-Governance-Responsible-Investment,expired,2021-01-21T07:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e3e255f1-2624-4923-b5e5-30aa0ee2207d,48604091,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2021-01-25T14:34:06.735Z,"
                                                +

                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/791369800/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-01-13T19:16:00.000Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/101110000-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/791369800/,expired,2021-12-26T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +517d850b-93ea-44ce-b4ce-9925f18092df,102506305,TD Bank Group,Software Engineer Intern/Co-op,on_site,"Toronto, ON",2022-01-03T20:33:05.584Z,"

                                                Company Overview

                                                -

                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                -

                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                +

                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                +

                                                TD’s Colleague Promise: A better you. A better us.

                                                +

                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                Department Overview

                                                -
                                                Department Overview
                                                The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                -

                                                The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                -

                                                The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer (OCDO).

                                                +
                                                +

                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                +

                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                +
                                                  +
                                                • Leadership talks with key Leaders from across the organization
                                                • +
                                                • Lunch and Learns on topics such as Innovation
                                                • +
                                                • Diversity and Inclusion and Personal Branding and so much more
                                                • +

                                                Job Description

                                                -
                                                Job Description
                                                Reporting to the Senior Manager , the incumbent is accountable for OCDO Enterprise Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                -

                                                Accountabilities Include:

                                                -

                                                • Coordinate and lead the data processes and streams within the active Projects for existing and new data created;
                                                • Lead and coordinate data governance & management activities across project/PODs and LOBs
                                                • Supports completion of the Data Impact Assessment throughout the project Life Cycle
                                                • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;
                                                • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;
                                                • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;
                                                • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;
                                                • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;
                                                • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;
                                                • Participate in Business Bank’s Segment Data Council meetings;
                                                • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                +
                                                +

                                                You will have the opportunity to work with one of our various teams within the Technology group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our technology platforms. This could include platforms such as core banking, customer servicing, or customer engagement.

                                                +

                                                Job responsibilities for a Software Engineer Intern/Co-op may vary by area. This may include, but is not limited to the following:

                                                +
                                                  +
                                                • Assist in the development/maintenance of comprehensive processes for prevention of issues and participate in problem determination and timely resolution of incidents applying appropriate quality measures
                                                • +
                                                • Work with business partners to define and develop detailed business requirements
                                                • +
                                                • Design, develop and deploy system enhancements
                                                • +
                                                • Perform Unit and System Integration testing
                                                • +
                                                • Document system deployment plans for system implement and code deployment
                                                • +
                                                • Participate in Proof of Concept (POC) on new technologies and document findings
                                                • +
                                                • Provide recommendations with full usability analysis.
                                                • +
                                                • Conduct program/ system research, analysis, detailed design and problem resolution
                                                • +
                                                • Respond to business and users’ enquiries on business applications
                                                • +
                                                • Troubleshoot and determine root cause and resolution for application defects
                                                • +
                                                • Ensure defect free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                • +
                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects.
                                                • +
                                                • Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities
                                                • +
                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                • +

                                                Requirements

                                                -
                                                Job Requirements • Seasoned leader with proven ability to develop and deliver holistic program level initiatives, on time and on budget;
                                                • Experience leading data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;
                                                • Strategic mindset with the ability to understand implications of key decisions on policies, down-stream processes, etc;
                                                • Knowledge of Business Bank data and systems considered an asset;
                                                • Experience working on data integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams
                                                • Excellent relationship management skills;
                                                • Excellent oral and written communication and presentation skills;
                                                • Strong organizational awareness;
                                                • Strong attention to detail and well-organized to manage large amounts of information and details
                                                • Superior negotiation and creative problem-solving skills
                                                Flexible Work Options Flex Time & Flex Place
                                                Inclusiveness At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                +
                                                  +
                                                • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                • +
                                                • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                                • +
                                                • Understanding of Data Structures and Algorithms
                                                • +
                                                • Understanding of OOP concepts and SOLID Principles
                                                • +
                                                • Strong coding, debugging, and problem-solving skills
                                                • +
                                                • Demonstrate understanding of at least one programing language and relational databases
                                                • +
                                                • A thirst for constantly exploring emerging technology
                                                • +
                                                • Familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, Ruby, SQL, J2EE, Web Services, .NET, VBA, FPML, XML, HTTP, WSDL, Linux, Unix, Perl, Oracle, AIX, Windows, DB2, FIX Protocol, MS SQL, Angular, Type Script and React JavaScript libraries
                                                • +
                                                • Familiarity with source code management such as GIT
                                                • +
                                                • Familiarity with Jira and Confluence
                                                • +
                                                • Familiarity with cloud technologies
                                                • +
                                                • Skills that would be an asset but not required: Practical experience/knowledge of Data Generation, Data Masking, Data sub setting, Data Archiving, Data Virtualization, Data modelling, Database Development
                                                • +
                                                +

                                                +

                                                Additional Information

                                                +
                                                +

                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                +

                                                Early Talent Requirements

                                                +
                                                  +
                                                • This position is a 4-month work term and will commence May 2nd – August 26th, 2022.
                                                • +
                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                • +
                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                • +
                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                • +
                                                +

                                                Assigned Line of Business Requirements
                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                +

                                                Hours

                                                37.5

                                                +

                                                Start Date

                                                +
                                                – Summer
                                                +

                                                Inclusiveness

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                -
                                                ",,https://jobs.td.com/en-CA/jobs/12176167/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-28T14:39:10.295Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/48604091-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12176167/data-steward-ii-toronto-ca/,expired,2021-01-25T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6987df2a-1dd8-4a84-88d6-6a87639c24ce,48605646,BenchSci,Machine Learning Engineer - NLP,on_site,"Toronto, ON, Canada",2021-01-25T14:52:22.958Z,"

                                                BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments, eliminating up to 80% of experiments that don't progress treatments to human trials. Backed by F-Prime and Google’s AI fund, Gradient Ventures, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.

                                                We are seeking a Machine Learning Engineer to join our growing R&D team. You will work on complex and challenging NLP problems that will have an impact on the 31,000+ life-scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate and experiment with software engineers, and apply state-of-the-art solutions that will shape the future of scientific discovery.

                                                -

                                                -

                                                You Will:

                                                -
                                                    -
                                                  • Build innovative ML models that enhance the speed and quality of life-saving research
                                                  • -
                                                  • Collaborate with software engineers to solve the complex challenges of extracting insights from the experiments in biomedical data
                                                  • -
                                                  • Continuously improve the performance and scalability of predictive models and ML-Ops pipelines that are at the core of BenchSci’s products
                                                  • -
                                                  • Push the envelope of research in NLP
                                                  • -
                                                  • Regularly investigate what technologies will best enable BenchSci to effectively extract descriptions of biological experiments
                                                  • -
                                                  • Work with BenchSci's Chief Science Officer to correctly capture the nuances of biology
                                                  • -
                                                  • Continuously push to improve your team and their processes
                                                  • -
                                                  • Participate in sprint planning, estimation, and reviews
                                                  • -
                                                  • Take ownership of deliverables, and work with teammates to ensure they are high-quality
                                                  • -
                                                -

                                                You Have:

                                                -
                                                    -
                                                  • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning
                                                  • -
                                                  • Extensive experience with NLP
                                                  • -
                                                  • A degree in computer science with a focus on machine learning, or at least two years of experience in the industry or data science competitions
                                                  • -
                                                  • Strong experience with TensorFlow, PyTorch, scikit-learn, and NLP/Text libraries such as NLTK and Spacy
                                                  • -
                                                  • Experience with data processing frameworks
                                                  • -
                                                  • A constant desire to learn new things and grow with your team
                                                  • -
                                                  • Strong cross-team communication and collaboration skills
                                                  • -
                                                -

                                                Nice to haves, but not mandatory qualifications:

                                                -
                                                    -
                                                  • Research publications in ML/AI-related fields
                                                  • -
                                                  • Experience productionalizing ML models
                                                  • -
                                                  • Background in life science (cell biology, molecular biology, genetics, immunology, microbiology)
                                                  • -
                                                  • Experience in bioinformatics
                                                  • -
                                                  • Experience with computer vision problems
                                                  • -
                                                -

                                                Our benefits and perks:

                                                -
                                                    -
                                                  • A compensation package that includes equity options in the company
                                                  • -
                                                  • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                  • -
                                                  • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                  • -
                                                  • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                  • -
                                                  • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                  • -
                                                  • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                  • -
                                                  • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                  • -
                                                  • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                  • -
                                                  • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                  • -
                                                  • A great benefits package: Including health and dental
                                                  • -
                                                -

                                                Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                ",,https://jobs.lever.co/benchsci/b763be24-cb1a-4c3e-b50f-94d0a08a04b2,aimasters@vectorinstitute.ai,,,,2021-02-08T15:52:00.000Z,False,0,12,84,https://talenthub.vectorinstitute.ai/jobs/48605646-machine-learning-engineer-nlp-at-benchsci,,expired,2021-01-25T14:52:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -2b8a5e4d-b6bb-45cc-bf5c-b9c16823e472,48606247,Canvass Analytics Inc.,AI Solutions Architect,on_site,"Toronto, ON, Canada",2021-01-25T14:56:52.216Z,"

                                                A Leader in Automating Intelligent Industrial Operations

                                                -

                                                Canvass Analytics is disrupting the way industrial operational data is being used to make critical business decisions. The Canvass AI Platform helps transform plant operations, delivering predictive insights that empowers decision-making based on operational data rather than intuition.

                                                -

                                                -

                                                Canvass is building an AI-powered analytics platform to transform the industrial sector. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                -

                                                The Role

                                                -

                                                You are a skilled AI Architect who has experience in design and development of machine learning, data mining solutions, recommender systems, data warehouse, business intelligence, information visualization, distributed data processing and software design and development. As an AI Architect at Canvass Analytics you will work in cross functional agile teams with other highly skilled engineers, product managers, designers and machine learning engineers to build out the AI ecosystem.

                                                -

                                                Responsibilities & Duties

                                                -

                                                As a member of the Customer Success team, you will work closely with Customer Success, Sales, Engineering and our customers to:

                                                -
                                                  -
                                                • Be the trusted solutions advisor for our customers and partners.
                                                • -
                                                • Own customer-related technical activities and relationships as part of production implementation, and adoption, and lead end-to-end solution design.
                                                • -
                                                • Communicate effectively with a diverse audience of internal and external stakeholders consisting of engineers, business people, partners, and executives.
                                                • -
                                                • Translate business cases and requirements into value based technical solutions through the architecture of AI workflows and systems from data ingestion to model deployment.
                                                • -
                                                • Demonstrate AI solutions with engaging storytelling and technical accuracy.
                                                • -
                                                • Architect, design, and deliver AI solutions quickly to demonstrate Proof of Concepts/Value.
                                                • -
                                                • Gather customer feedback so that you can work with the Canvass Engineering and Product teams to further enhance our platform.
                                                • -
                                                • Work in a collaborative and agile team environment with changing and ambiguous requirements.
                                                • -
                                                -

                                                Requirements

                                                -
                                                  -
                                                • 7+ years of relevant industry experience with a focus on providing architectural and AI solutions.
                                                • -
                                                • Excellent understanding of system engineering concepts and good command of working in Linux based environments.
                                                • -
                                                • Good understanding of the cloud ecosystem; preferably Azure.
                                                • -
                                                • Experience in machine learning, AI or a related field.
                                                • -
                                                • Experience with Python.
                                                • -
                                                • Possession of skills needed to help sell software and solutions through articulating value rather than just features and functions.
                                                • -
                                                • Ability to explain a complicated subject in a clear and understandable manner.
                                                • -
                                                • Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
                                                • -
                                                • Demonstrated experience working with big data use-cases to manipulate data and draw insights, as well as an understanding of standard design patterns commonly used.
                                                • -
                                                -

                                                Apply for this position

                                                -

                                                Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther WebsiteSubmit Application

                                                -

                                                -

                                                Why join Canvass?

                                                -

                                                Canvass Analytics is using AI to automate operations for the industrial sector. We are changing the way the industry thinks about and uses AI, and it’s getting noticed everywhere.

                                                -

                                                -

                                                We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startup and by the Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                -

                                                -

                                                What's it like working at Canvass? This is a place where everyone is all-in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We appreciate the efforts, innovation and results of our team.

                                                -

                                                Apply now!

                                                -

                                                Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                -

                                                -

                                                Follow us on Twitter or LinkedIn to learn more about us!

                                                ",,https://www.canvass.io/ai-solutions-architect-job,aimasters@vectorinstitute.ai,,,,2021-02-24T15:00:17.215Z,False,0,2,35,https://talenthub.vectorinstitute.ai/jobs/48606247-ai-solutions-architect-at-canvass-analytics-inc,,expired,2021-01-25T14:56:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -f6d32256-62c1-47b1-aebe-5c060ed440df,48609386,RBC,"Data Scientist, Summer 2021 Student Opportunities (8 Months Only)",on_site,"Toronto, ON, Canada",2021-01-25T15:41:32.522Z,"

                                                What is the opportunity?
                                                Who wouldn't want to be a part of a fantastic team of Data Scientists? At RBC, our Data Science teams offer the opportunity to leverage RBC’s data assets to develop innovative solutions in support of RBCs big data strategy. This position is an essential part to the bank as you develop next-generation applications to meet our customers’ needs. By joining the RBC team as a Data Scientist, you will have the opportunity to analyze, design and implement data solutions to assist all business customers.

                                                -

                                                -

                                                Please only apply if you are available for 8 months.

                                                -


                                                What will you do?

                                                -
                                                  -
                                                • Utilize the latest technologies available, designing and building data solutions to meet business needs
                                                • -
                                                • Be an active contributor to not only your individual team, but to the RBC development community
                                                • -
                                                • Constantly seek out better ways to do things, new tools, new technologies, new processes
                                                • -
                                                • Work on transformational projects delivering new value
                                                • -
                                                • Work as part of an agile team responsible for end-to-end delivery of business needs
                                                • -
                                                • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
                                                • -
                                                • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
                                                • -
                                                • Promote analytics across the enterprise to enable RBC to become a data-driven organization
                                                • -
                                                -

                                                -

                                                What do you need to succeed?

                                                Must-have:

                                                -
                                                  -
                                                • Programming skills in one or more of the following languages: Python or R
                                                • -
                                                • Experience utilizing SQL scripts/querying
                                                • -
                                                • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
                                                • -
                                                • Ability to data extract, transform, and load processes with a variety of data types
                                                • -
                                                • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                  -
                                                • -
                                                -

                                                Nice to have:

                                                -
                                                • Experience with big data technologies, primarily in machine learning and statistics function
                                                -
                                                  -
                                                • Exposure to Apache Spark, Hadoop and Public Cloud technologies, data serialization (JSON, Avro, Parquet, ORC)
                                                • -
                                                • Experience with big data processing tools like Spark and Hive, GitHub functionality and workflow experience/exposure
                                                • -
                                                • Experience with messaging (Kafka, Solace, RabbitMQ) & working on Agile projects
                                                • -
                                                -

                                                -

                                                What’s in it for you?
                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. Visit people.rbc.com

                                                +
                                                ",,https://jobs.td.com/en-CA/jobs/14652667/software-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-01-13T20:38:04.589Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/102506305-software-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14652667/software-engineer-intern-co-op-toronto-ca/,expired,2022-01-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +b358aaa6-6246-441d-b778-2be30fd5a459,99197222,Ada,Senior Machine Learning Scientist (Remote),on_site,Toronto /,2021-12-16T04:57:03.731Z,"
                                                +
                                                +We’re Ada, a brand interaction platform that empowers brands to live up to their promises and have more—and more valuable—interactions with the people who love them. Our AI-powered platform has automated over 1 billion brand interactions for the world’s fastest growing enterprises, including Zoom, Facebook, and Shopify. We recently raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and we're officially a Canadian unicorn with a $1.2B valuation!
                                                +

                                                +
                                                +The passion of our people and dedication to their craft continues to drive our dramatic global growth.
                                                +

                                                +
                                                +Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment. You can learn more about the founding of our company here.
                                                +

                                                +
                                                +We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us. +
                                                +

                                                +
                                                +As Senior Machine Learning Scientist on our Machine Learning team, you will design, experiment, and deploy machine learning solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
                                                +

                                                +
                                                We're looking for someone who is passionate about data science and about contributing to a world class chat automation platform. You will be expected to develop product features involving ML, and will be responsible for writing data pipelines, modelling and experimentation, all the way through to deployment. You will be given the opportunity to contribute to improving the data science, and ML engineering practices on the team.
                                                +
                                                +

                                                About You

                                                +
                                                    +
                                                  • 3+ years (or equivalent) experience as a Data Scientist/Machine Learning Developer/Engineer
                                                  • +
                                                  • Excellent understanding of ML. Preferably worked on NLP problems before but not required
                                                  • +
                                                  • Experienced in designing and tracking efficient and thorough data science experimentsHighly skilled in Python and Pytorch
                                                  • +
                                                  • Strong software and data engineering practices
                                                  • +
                                                +
                                                +

                                                Outcomes

                                                +
                                                    +
                                                  • Become an owner of Ada’s machine learning architecture and lead the improvement and maintenance of our ML technologies
                                                  • +
                                                  • Execute on our ambitious Machine Learning product roadmap through the implementation of features
                                                  • +
                                                  • Review the team’s code and experiments, provide insightful feedback, and teach everyone something new
                                                  • +
                                                  • Help identify areas of opportunity and innovation within our product
                                                  • +
                                                +
                                                +
                                                #LI-FT
                                                +

                                                +
                                                Benefits
                                                +
                                                • Competitive salary and generous stock option plan
                                                +
                                                • Unlimited vacation
                                                +
                                                • Wellness account
                                                +
                                                • Extended health coverage
                                                +
                                                • Dental/optical/travel insurance
                                                +
                                                • Life insurance
                                                +
                                                • Employee and family assistance plan
                                                +

                                                +
                                                Perks
                                                +
                                                • Flexible work schedule
                                                +
                                                • Digital first, fully remote with WFH budget
                                                +
                                                • In-house social worker
                                                +
                                                • Paid parental leave for Canadian and U.S. residents
                                                +
                                                • Development opportunities
                                                +

                                                +
                                                About Us
                                                +
                                                +Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.
                                                +

                                                +
                                                +We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.
                                                +

                                                +
                                                +With the health and safety of Ada's employees, clients and communities top of mind, effective December 1st, 2021, Ada will be requiring anyone who is traveling for work and attending Ada events to be fully vaccinated at least 2 weeks prior to travel.
                                                +

                                                +
                                                Ada is an equal opportunity employer. In fact, diversity is what drives our success—it’s at the core of how we hire, communicate, and work. Like our platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.
                                                +
                                                ",,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,feed-importer@jobboard.io,,,,2022-01-15T19:30:42.411Z,False,0,1,29,https://talenthub.vectorinstitute.ai/jobs/99197222-senior-machine-learning-scientist-remote-at-ada,https://jobs.lever.co/ada/57afcd49-2995-40ae-ac88-ef951846a069,expired,2021-12-16T04:57:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +d2f692c3-90cc-4430-ab4b-6b1555c9af4c,99151946,Borealis AI,Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2021-12-15T20:53:08.158Z,"

                                                What\'s the opportunity?

                                                +

                                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                +

                                                +

                                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                +

                                                Your responsibilities include:

                                                  -
                                                • Continued career advancement opportunities
                                                • -
                                                • Exposure to strong mentorship and leadership examples
                                                • -
                                                • A world-class training program in financial services
                                                • -
                                                • Opportunities to be a valuable member of a close-knit, collaborative team that encourages networking
                                                • -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                • -
                                                • Competitive compensation
                                                • +
                                                • Developing novel AI solutions that facilitate impactful products;
                                                • +
                                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                • +
                                                • Working with the development team to transfer research work into production;
                                                • +
                                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                • +
                                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                -

                                                -

                                                We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                -

                                                -

                                                While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                -

                                                -

                                                TAD2021

                                                -

                                                -

                                                -

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                JOB SUMMARY
                                                City: Virtual
                                                Address: Virtual
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: [[filter7]]
                                                Career Level: Student Job
                                                Application Deadline: 03/14/2021
                                                Platform: Technology and Operations

                                                Req ID: 295741
                                                Ad Code(s):

                                                ",,https://jobs.rbc.com/ca/en/job/295741/Data-Scientist-Summer-2021-Student-Opportunities-8-Months-Only,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2021-02-24T15:41:00.000Z,False,0,18,91,https://talenthub.vectorinstitute.ai/jobs/48609386-data-scientist-summer-2021-student-opportunities-8-months-only-at-rbc,,expired,2021-01-25T15:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -6d1850ce-3306-42a3-b88b-c06fe529d3f1,48616666,Google,"Quantitative Business Analyst, Analytics and Decision Support, YouTube",on_site,"Toronto, ON, Canada",2021-01-25T19:59:13.462Z,"

                                                Minimum qualifications:

                                                +

                                                You’re our ideal candidate if you have:

                                                  -
                                                • Bachelor's degree in Statistics, Computer Science, Physics, Engineering, or equivalent practical experience.
                                                • -
                                                • 3 years of experience in manipulating data sets and conducting data analysis using SQL and Python.
                                                • -
                                                • Experience creating executive communications (e.g. memos, slide decks, etc.) and presenting to non-technical/analytics audiences.
                                                • -
                                                • Experience in ambiguous work environments with tight deadlines.
                                                • +
                                                • A passion for solving open problems using data and algorithms;
                                                • +
                                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                • +
                                                • Ability to formulate and drive a research project independently without close supervision;
                                                • +
                                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                • +
                                                • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                                • +
                                                • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                                -

                                                Preferred qualifications:

                                                +

                                                What’s in it for you?

                                                  -
                                                • Master’s in a quantitative discipline (e.g. Business Analytics, Statistics, Computer Science, Economics, Math, Physics, Engineering)
                                                • -
                                                • Experience designing data models or table schema.
                                                • -
                                                • Experience in application of machine learning like supervised/unsupervised learning, forecasting, predictive modeling etc.
                                                • -
                                                • Experience working in consulting, direct to consumer or similar industries.
                                                • -
                                                • Experience working with multiple functions/domains and managing end to end projects.
                                                • +
                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                • +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                • +
                                                • Leaders who support your development through coaching and managing opportunities;
                                                • +
                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                -

                                                About the job

                                                -

                                                As a Quantitative Business Analyst within Analytics and Decision Support, you will be part of a community of technical data analysts who work on impactful projects analyzing the content and distribution partnerships, the creator and user ecosystem, and monetization to guide business leadership on optimizing the effectiveness and efficiency of our partner, operations, and revenue-facing business teams.

                                                -

                                                You will work on strategic business challenges revolving around the economics of YouTube’s Content Business. You will provide careful analytical support for the business teams, including performance measurement, causal impact, estimation, predictive modeling, and metric definition; all leading to better data-driven business recommendations. You will be a leader and communicator presenting insights to leadership across the business organization.

                                                -

                                                At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

                                                -

                                                Responsibilities

                                                -
                                                  -
                                                • Act as a thought leader in the creation of planning, strategy, objectives, and key results, and Key Performance Indicators (KPIs) development for your business domain. Make strategic and operational recommendations to achieve goals.
                                                • -
                                                • Work cross-functionally with business leaders, Marketing, Operations, and Product teams in order to identify opportunities, design, and assess improvements to YouTube’s business.
                                                • -
                                                • Make business recommendations, conveying findings at multiple levels including executive leadership, managers, and peers through visual displays of quantitative information.
                                                • -
                                                • Manage larger strategic and cross-functional initiatives both on an on-going basis and on an ad-hoc basis.
                                                • -
                                                • Conduct non-routine analyses, including data gathering, processing, analysis employing advanced statistical and ML methods, with ongoing deliverables to improve the quality of Insights teams.
                                                • -
                                                ",,https://careers.google.com/jobs/results/123378195698197190-quantitative-business-analyst-analytics-and-decision-support-youtube/?location=Canada&sort_by=date,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-02-16T17:59:00.000Z,False,0,18,108,https://talenthub.vectorinstitute.ai/jobs/48616666-quantitative-business-analyst-analytics-and-decision-support-youtube-at-google,,expired,2021-01-25T19:59:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -75f76353-d865-4d77-8929-48d6363ab2c7,48882319,Thomson Reuters,Software Engineer,on_site,Toronto-Ontario-Canada,2021-01-28T14:54:42.217Z,"
                                                -Job Description

                                                As a member of the Thomson Reuters’ Audit Technology team, you will work to build the next generation of our Confirmation product. You will influence new technical solutions, processes, and methodologies.

                                                -

                                                -

                                                Within our agile team, you will be developing new features and enhancing the infrastructure of Confirmation – a popular system for audit and verification of deposit use cases. This work will involve delivering new code, deploying services to our cloud infrastructure, and learning about how we build with regard for architectural cleanliness. You are empowered to try new approaches and learn new technologies. Your work will benefit customers who need to find save time and yet also feel guaranteed they are not making errors as a result.

                                                -

                                                -

                                                About the Role

                                                -

                                                In this opportunity as a Software Engineer, you will:

                                                -
                                                  -
                                                • Develop and Deliver: applying modern development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high quality solutions

                                                • -
                                                • Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross functional and remote teams

                                                • -
                                                • Be an Agile Person: with strong sense of urgency and a desire to work in a fast-paced dynamic environment, you will deliver solutions against strict timelines

                                                • -
                                                • Be Innovative: you are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries

                                                • -
                                                • Be an Effective Communicator: through active engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments

                                                • -
                                                -

                                                -

                                                About You

                                                -

                                                You’re a fit for the role of a Software Engineer, if you:

                                                +

                                                About Borealis AI

                                                +

                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                +

                                                Inclusion and Equal Opportunity Employment

                                                +

                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                                ",,https://www.borealisai.com/en/careers/employment/5689096002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-01-15T19:20:15.733Z,False,0,2,46,https://talenthub.vectorinstitute.ai/jobs/99151946-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2021-12-15T20:53:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, +0d2c9080-452c-4374-a197-0471c6a18cb9,102936008,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-01-06T17:55:12.577Z,"
                                                +
                                                +
                                                +

                                                Referred applicants should not apply directly to this role.

                                                +

                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                +

                                                +

                                                +

                                                Location:

                                                1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                +

                                                +

                                                Inspired by food? Committed to excellent service? So are we.
                                                At Loblaw, we are Food Lovers!
                                                We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                +

                                                +

                                                Why is this role important?

                                                +

                                                +

                                                Why This Role is Important:

                                                +

                                                +

                                                Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                +

                                                If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                                +

                                                The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                +

                                                +

                                                What You'll Do:

                                                  -
                                                • Have a fundamental understanding of the SDLC and hands-on experience in one or more programming languages (C# OR Java)

                                                • -
                                                • Understand REST API development and best practices.

                                                • -
                                                • Thrive in a positive, collaborative environment with your great communication skills. You believe in the value of iterating together toward a common goal and may have worked in an agile environment to do so.

                                                • -
                                                • Are eager to learn new technologies but also want to understand the business problems we are trying to solve.

                                                • -
                                                • Have a bachelor’s degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.

                                                • +
                                                • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                • +
                                                • Support initiatives to make business partners more self-sufficient.
                                                • +
                                                • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                                • +
                                                • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                                • +
                                                • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                                • +
                                                • Analyze data to help determine insights to solve business problems or identify new opportunities
                                                • +
                                                • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                                • +
                                                • Actively identify and execute initiatives to improve process and data infrastructure
                                                • +
                                                • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                • +
                                                • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                • +
                                                • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                                • +
                                                • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                                -

                                                -

                                                What’s in it For You

                                                -

                                                At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                +

                                                +

                                                What You'll Bring:

                                                  -
                                                • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                • -
                                                • Flexible work arrangements, comprehensive health coverage that’s effective day one

                                                • -
                                                • Perks: Social events & activities, employee discount programs

                                                • +
                                                • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                                • +
                                                • Programming skills with SQL, Python, PySpark
                                                • +
                                                • In-depth knowledge of predictive modelling, machine learning modelling
                                                • +
                                                • Experience in utilizing advanced SQL data extraction and manipulation tools
                                                • +
                                                • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                                • +
                                                • Retail analytics experience with a marketing focus preferred
                                                • +
                                                • In-depth knowledge of pattern recognition models is an asset.
                                                • +
                                                • Data mining experience working with a large relational customer database
                                                • +
                                                • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                • +
                                                • Ability to take initiative, multi-task and work in a fast-paced environment
                                                • +
                                                • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                • +
                                                • Strong detail orientation is essential in this role
                                                • +
                                                • A team player and self-starter
                                                • +
                                                • Advanced MS Office skills (Excel, Word)

                                                -

                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                +

                                                COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                -

                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                +

                                                In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                                -

                                                Accessibility

                                                -

                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                -

                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                +

                                                At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                -

                                                More information about Thomson Reuters can be found on thomsonreuters.com.

                                                -

                                                Locations
                                                Toronto-Ontario-Canada
                                                ",,https://jobs.thomsonreuters.com/ShowJob/Id/490010/Software-Engineer/,feed-importer@jobboard.io,,,,2021-02-11T14:59:57.789Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/48882319-software-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/490010/Software-Engineer/,expired,2021-01-28T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -97789eed-7d40-47e5-b7dd-4666709fe6cc,49344513,Layer 6,Machine Learning Scientist ☑️,on_site,"Toronto, ON, Canada",2021-02-01T14:43:11.224Z,"

                                                Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                -

                                                Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                -

                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                -

                                                Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                -

                                                As a machine learning scientist, you will

                                                -
                                                  -
                                                • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                • -
                                                • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                • -
                                                • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                • -
                                                • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                • -
                                                -

                                                Required Qualifications

                                                -
                                                  -
                                                • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                • -
                                                • Strong background in machine learning
                                                • -
                                                • 5+ years of research experience with publication record
                                                • -
                                                • Proven track record of applying machine learning to solve real-world problems
                                                • -
                                                -

                                                Preferred Qualifications

                                                -
                                                  -
                                                • Experience with deep learning and/or collaborative filtering
                                                • -
                                                • Hands on experience in software systems development and SaaS applications
                                                • -
                                                • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                • -
                                                • Experience using GPUs for accelerated deep learning training
                                                • -
                                                • Familiarity with AWS
                                                • -
                                                -

                                                Benefits

                                                -
                                                  -
                                                • Entrepreneurial and inclusive culture
                                                • -
                                                • Excellent health coverage
                                                • -
                                                • Four weeks paid vacation
                                                • -
                                                • Catered lunches twice a week over machine learning talks
                                                • -
                                                • Opportunities to collaborate with faculty at the Vector Institute
                                                • -
                                                ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-03-03T14:43:12.629Z,False,6,0,142,https://talenthub.vectorinstitute.ai/jobs/49344513-machine-learning-scientist-at-layer-6,,expired,2021-02-01T14:43:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, -045f01ca-225e-4bcc-93d9-e2f4e6b025a2,49383513,RBC,"Manager, Analytics",on_site,"Toronto, Ontario, Canada",2021-02-01T21:36:19.855Z,"
                                                -

                                                What is the opportunity?

                                                -

                                                RBC is currently recruiting for the exciting role of Manager, Analytics. In this role, you will work directly with Product and Marketing business partners to fulfill the following critical roles:

                                                -
                                                  -
                                                • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
                                                • -
                                                • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
                                                • -
                                                +

                                                +

                                                +

                                                Employment Type:

                                                Full time

                                                +

                                                +

                                                Type of Role:

                                                Regular

                                                Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                +

                                                +

                                                Please Note:  
                                                Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                +
                                                +
                                                ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-01-17T18:00:04.132Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/102936008-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-01-06T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +02e4080c-7ccb-43c5-80bf-653adca65fb6,104061892,TELUS,Data Scientist - Data Analytics,on_site,"Ontario, Canada",2022-01-14T07:19:06.820Z,"
                                                +
                                                +

                                                +
                                                +

                                                Join our team

                                                -

                                                What will you do?

                                                -
                                                  -
                                                • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
                                                • -
                                                • Manage the process of defining RBC product universe, specifying success measures, testing hypotheses, and communicating value-added observations towards refined strategy and effective implementation of win-win solutions.
                                                • -
                                                • Bring data analyses to bear on the development of RBC product branding.
                                                • -
                                                • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics, participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
                                                • -
                                                -
                                                • Increase the standardization and efficiency of the daily/ monthly/ quarterly/ annual reporting.
                                                -
                                                  -
                                                • Influence the approach to answering business questions with deep RBC product insights.
                                                • -
                                                • Manage day-to-day workflow and negotiate realistic timelines. Ensure compliance and privacy guidelines are strictly adhered to.
                                                • -
                                                • Learn and apply new businesses, techniques, and ideas.
                                                • -
                                                +

                                                Our Team – TELUS Business Solutions Marketing BI - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.

                                                -

                                                What do you need to succeed?

                                                -

                                                Must-have:

                                                -
                                                  -
                                                • Solid working experience with very large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query, Queryman.
                                                • -
                                                • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments and ability to learn a new software or computer language in a short period of time.
                                                • -
                                                • Advanced SAS programming dealing with large data sets.
                                                • -
                                                • Attention to detail and applied data validation mechanisms.
                                                • -
                                                • At least 3 years working experience with financial products and services and their corresponding data.
                                                • -
                                                • Minimum successfully-completed undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
                                                • -
                                                -

                                                Nice-to-have:

                                                -
                                                  -
                                                • Knowledge of Teradata or DB2 is definite asset.
                                                • -
                                                • Demonstrated leadership in cross-functional environment.
                                                • -
                                                • Experience with developing reports using OLAP tools.
                                                • -
                                                +

                                                Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

                                                -

                                                What’s in it for you?

                                                -

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                -
                                                  -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                • -
                                                • Ability to make a difference and lasting impact
                                                • -
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • -
                                                -
                                                • Opportunities to take on progressively greater accountabilities.
                                                +

                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                -

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                +

                                                As a Data Scientist in the team, you will be working with Business Stakeholders and the campaign team to identify use cases, build machine learning models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

                                                +

                                                Here’s how

                                                -

                                                JOB SUMMARY

                                                -

                                                City: Toronto
                                                Address: 88 Queens Quay W
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Position Level: PL08
                                                Required Travel(%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 02/10/2021
                                                Req ID: 317037

                                                -

                                                Ad Code(s):

                                                -
                                                ",,https://jobs.rbc.com/ca/en/job/317037/Manager-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-02-11T21:42:10.136Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/49383513-manager-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/317037/Manager-Analytics,expired,2021-02-01T21:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -13dc58a5-c4b1-4458-94a6-25fad75802e4,59846675,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-26T19:44:12.652Z,"
                                                -

                                                Job Type: Permanent
                                                Primary Location: Toronto, Ontario, Canada
                                                All Available Locations: Ottawa; Toronto; Vancouver

                                                -

                                                Partner with clients to solve their most complex business problems
                                                Be encouraged to deepen your technical skills…whatever those may be
                                                Lead projects and teams to make an impact that matters

                                                -
                                                -
                                                -
                                                -
                                                -

                                                -

                                                Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                -
                                                -
                                                -
                                                -

                                                What will your typical day look like?

                                                -

                                                -

                                                As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                                +
                                                  +
                                                • You will build pipelines to bring data required to support the use case
                                                • +
                                                • You will develop new machine learning models to enable intelligent campaigns
                                                • +
                                                • You will productionalize machine learning models and automate processes
                                                • +
                                                • Collaborate with business stakeholders to enable new use cases for TELUS Business
                                                • +
                                                • Effectively communicate with leadership and stakeholders in explaining the model and outcomes
                                                • +
                                                -
                                                -
                                                -

                                                About the team

                                                -

                                                -

                                                Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                -
                                                -
                                                -

                                                Enough about us, let’s talk about you

                                                -

                                                +
                                                +

                                                -

                                                You are someone with:

                                                -
                                                • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                                • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                                • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                                • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                                • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                                • +

                                                  +

                                                  You’re the missing piece of the puzzle

                                                  +

                                                  +
                                                    +
                                                  • You have experience leading large scale projects and partnering with multiple stakeholders
                                                  • +
                                                  • You can manage ambiguity and change with a learning and growth mindset
                                                  • +
                                                  • You love digging into quantitative and qualitative data
                                                  • +
                                                  • You have experience working with customer data, building recommendation engines, personalized offer management, lifetime value and propensity modeling
                                                  • +
                                                  • You have experience in building machine learning algorithms
                                                  • +
                                                  • You have worked with R/Python, SQL, spark, big data technologies or cloud
                                                  • +
                                                  • You have data engineering experience and ability to extract data from various sources
                                                  • +
                                                  • You have 5+ years of experience in a similar role and/or related education with demonstrated performance
                                                  • +
                                                  +

                                                  +

                                                  Great to haves

                                                  +

                                                  +
                                                    +
                                                  • Prior telecommunications or B2B marketing experience
                                                  • +
                                                  • Experience with Cloud / Salesforce technologies
                                                -
                                                -

                                                Why Deloitte?

                                                -

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                -
                                                • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                • -
                                                -


                                                The next step is yours

                                                -

                                                Sound like The One Firm. For You?

                                                -

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                -

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                +
                                                ",,https://careers.telus.com/job/Vancouver-Data-Scientist-Data-Analytics-Brit/551845117/,feed-importer@jobboard.io,,,,2022-01-17T17:30:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/104061892-data-scientist-data-analytics-at-telus,,expired,2022-01-14T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +27da28ab-e12f-4afd-b8cc-3f3dd005a462,46399386,RBC,"Data Analyst, Corporate Client Group",on_site,"Vancouver or Toronto, British Columbia, Canada",2021-01-07T06:17:03.659Z,"
                                                +

                                                Please note: The ideal candidate will be based out of our Toronto or Vancouver Office

                                                -

                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,feed-importer@jobboard.io,,,,2021-05-27T17:40:28.513Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/59846675-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-04-26T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2659f881-9b2f-4244-b8d9-5931cde33cdd,59860812,RBC,"Senior Manager, Business Intelligence & Information Management",on_site,"Toronto, Ontario, Canada",2021-04-26T21:51:02.700Z,"
                                                -
                                                -

                                                .

                                                -

                                                What is the opportunity?

                                                -

                                                RBC Regional Banking Support’s BFS Reporting is hiring a Senior Manager, Business Intelligence & Information Management role that will lead strategic reporting and visual insights for Regional Banking’s BFS by successfully transforming data into useful, relevant information, and by leveraging sound business knowledge, additional sources of information, and resources to deliver insight to the BFS field. The position plays a leadership role in driving strategic, timely, and accurate insights to business partners and senior leaders in a BFS banking environment, alongside key technology partners.

                                                -

                                                -

                                                What will you do?

                                                +

                                                What is the opportunity?

                                                +

                                                This technical role is part of Corporate Client Group (CCG) National Operation’s Business Intelligence team who delivers and maintains CCG’s management information systems, creates meaningful data visualizations and improves reporting processes. You require critical thinking, strong technical skills, effective project management and great attention to detail to ensure success in this role. RBC CCG National Operations supports CCG planning, directing, and overseeing their operational policies, rules, initiatives, and goals. The CCG team is responsible for meeting annually established targets for revenues and returns, providing advice to our partners along with broader RBC relationship goals, while the National Operations team helps & supports the group execute long-term and short-term plans.

                                                +

                                                +

                                                What will you do?

                                                  -
                                                • Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk
                                                • -
                                                • Design and develop innovative reporting solutions to monitor performance management, present key analytical and business insights to underlying drivers in support of the BFS advisors and leaders on client and coaching insights to drive an exceptional client experience
                                                • -
                                                • Take end to end responsibility in the development of performance metrics and reporting in Tableau
                                                • -
                                                • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration and optimization, providing recommendations on approach and execution
                                                • -
                                                • Identify appropriate data sources and perform Extract/Transform/Load (ETL) for data modelling, data quality assessments, understand patterns and provide the basis to inform the reporting solution which provides meaningful performance management insights
                                                • -
                                                • Participate in conversations with internal partners to understand their business strategies (role design, incentive, practice management and portfolio quality) and objectives in order to define/recommend reporting solutions to meet those objectives, effectively communicate project status and develop relationships to ensure satisfaction
                                                • -
                                                • Participate in design and solution review demonstrations with internal partners at critical tollgates to ensure adherence to requirements, resolve obstacles, while mitigating deployment risk and the need for post-deployment modifications
                                                • -
                                                • Apply standard design principles and advanced data visualization techniques to measure key indicators, disclose trends, provide proactive actionable insights/indicators and address business questions
                                                • +
                                                • Work cohesively with CCG’s Business Intelligence team to build and maintain robust databases in SQL Server and MS Access
                                                • +
                                                • Support all CCG teams nationally and senior management to provide data and analytics solutions that support data driven decisions
                                                • +
                                                • Utilize VBA, SQL and other programming languages to make database and reporting processes more efficient and reduce time spent
                                                • +
                                                • Analyze large amounts of data; create ad-hoc and periodic reporting that are accurate and timely; and document and diagram key system and data management processes
                                                • +
                                                • Build meaningful data visualizations in Tableau and Excel for performance reporting
                                                • +
                                                • Perform database administrative duties including database maintenance, manage ETL processes, data cleanups and proactively monitor data quality

                                                -

                                                What do you need to succeed?
                                                Must-have

                                                +

                                                What do you need to succeed?

                                                +

                                                Must have:

                                                  -
                                                • Ability to perform complex data analysis on large volumes of data and present findings to senior leaders in order to inform strategic decisions
                                                • -
                                                • Demonstrated ETL and big data modeling capabilities, with programming experience in large databases/datasets and using SAS, SQL Server and Teradata SQL Assistant
                                                • -
                                                • Advanced proficiency in developing reports using Tableau
                                                • -
                                                • Deep data knowledge on RBC’s EDW
                                                • -
                                                • Experience in statistical methods, strong data profiling, cleaning, and mining
                                                • -
                                                • UNIX knowledge (i.e. submit process, create logs, store data)
                                                • +
                                                • Undergraduate or equivalent degree in Computer Science, Computer Engineering or Management Information Systems with knowledge and experience in database and data management principals
                                                • +
                                                • Minimum of 2 years of professional work experience in a business intelligence, data analytics, or data warehousing
                                                • +
                                                • Professional verbal and written communication skills
                                                • +
                                                • Intermediate knowledge and experience with Tableau or other data visualization tools, as well as, advanced level of MS Office (with a focus on Excel and Access), SQL and VBA
                                                • +
                                                • Ability to solve problems through creativity and critical thinking, strong analytical skills and attention to detail
                                                • +
                                                • Proven capabilities in effective management of tasks and delivering high quality work while performing well under pressure, meeting time sensitive deadlines, and prioritizing work
                                                -

                                                Nice-to-have

                                                +

                                                +

                                                Nice to have:

                                                  -
                                                • Financial Services Industry/Business Financial Services knowledge
                                                • -
                                                • Experience in developing performance metrics/reports
                                                • -
                                                • Programming/coding skills in Python and Hadoop (HIVE) and Datameer
                                                • -
                                                • Strong understanding of Cloud computing technologies
                                                • +
                                                • Database development experience especially in SQL Server
                                                • +
                                                • Database Administration Experience
                                                • +
                                                • Python, C programming, Java
                                                -

                                                -

                                                What’s in it for you?

                                                -

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                • -
                                                • Leaders who support your development through coaching and managing opportunities
                                                • -
                                                • Ability to make a difference and lasting impact
                                                • -
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • -
                                                • Opportunities to do challenging work and take on progressively greater accountabilities
                                                • +
                                                • Learn and develop new technical skills in a team that supports creativity and thinking outside of the box
                                                • +
                                                • Improve organizational skills including business analysis, project coordination and effective communication
                                                • +
                                                • Exposure to fast paced high performing teams and senior management
                                                • +
                                                • Work in a dynamic and collaborative organization that supports personal and professional growth
                                                • +
                                                • Opportunities to learn and grow through challenging work
                                                • +
                                                • Being part of a great organization that values inclusion and diversity
                                                -
                                                -

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                -

                                                JOB SUMMARY

                                                -

                                                City: Toronto
                                                Address: 88 Queens Quay West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 05/07/2021
                                                Req ID: 351441

                                                -

                                                Posting Notes:

                                                -
                                                ",,https://jobs.rbc.com/ca/en/job/351441/Senior-Manager-Business-Intelligence-Information-Management,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-05-19T21:10:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/59860812-senior-manager-business-intelligence-information-management-at-rbc,https://jobs.rbc.com/ca/en/job/351441/Senior-Manager-Business-Intelligence-Information-Management,expired,2021-04-26T21:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -fed037da-fae0-4e77-be54-2d976fcd45d7,60240390,Scotiabank,"Manager, Data Analytics / Business Transformation and Analytics / Small Business",on_site,"Toronto, ON, Canada",2021-04-28T17:51:25.013Z,"

                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                -

                                                -


                                                Manager, Data Analytics / Business Transformation and Analytics / Small Business

                                                -

                                                -

                                                Purpose
                                                Contributes to the overall success of the Small Business department in Canada by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                -

                                                The Manager, Data Analytics is responsible for delivering analytics that enables multiple stakeholders in the Small Business team to monitor & manage the health of the portfolio, business activities and results efficiently and effectively based on timely and value added reporting of business performance. You will leverage your subject matter expertise on data, database architecture, application design, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners.

                                                -

                                                -

                                                Accountabilities:

                                                -

                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                -

                                                • Lead advanced analytics use cases for lead generation and customer experience; utilize test and learn methodologies to measure results

                                                -

                                                • Lead the creation of daily, weekly, monthly and quarterly reporting of business results to senior management and other stakeholders within the Small Business team, including the Field.

                                                -

                                                • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget.

                                                -

                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                -

                                                • Engage in high impact technology projects to provide subject matter expertise with respect to data architecture, systems integration and application design. Ensure integration of new advanced analytical tools into the analytical infrastructure.

                                                -

                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                -

                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                                                -


                                                Education / Experience / Other Information:

                                                -


                                                • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                • MBA (Finance or Marketing) or MMA preferred
                                                • 5+ years’ experience in Analytics, Data Science or MIS/Reporting
                                                • 5+ years’ experience in programming, application development and/or data warehousing
                                                • Detailed experience in R or Python, SQL, SAS
                                                • Strong working knowledge of Tableau and PowerBI
                                                • Strong communication skills essential with clients, vendors and management
                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel domestically.

                                                -

                                                -

                                                Location(s): Canada : Ontario : Toronto

                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                -

                                                -

                                                Apply now »

                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Analytics-Business-Transformation-and-Analytics-Small-Business-ON-M5C2W1/546793417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:08:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/60240390-manager-data-analytics-business-transformation-and-analytics-small-business-at-scotiabank,,expired,2021-04-28T17:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -d2752bbb-07d3-42ae-8d16-ad5e80969258,60263350,CIBC,"Senior Manager, Data & Analytics",on_site,"Toronto, ON, Canada",2021-04-28T21:46:12.211Z,"

                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                -

                                                -

                                                At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                -

                                                -

                                                To learn more about CIBC, please visit CIBC.com

                                                -

                                                -

                                                Job Description

                                                -

                                                -

                                                What You’ll Be Doing

                                                -

                                                -

                                                You'll join our Business Performance & Insights team reporting to the Director, Analytics. As a Senior Manager, you'll work as a technical developer who is excited about providing end-to-end data analytic solutions for our product origination and fulfillment platform. These solutions will range from designing a comprehensive data model to providing an insightful production dashboards to drive evidence-based decision making at all levels for the Personal and Business Banking (PBB) lines of business. You will be exploring large datasets with limited metadata, and are expected to operate independently in forming and creating a comprehensive data/table structures that will be the backbone of all regular/adhoc analysis and reporting for the team.

                                                -

                                                You will also support the execution of the strategic data roadmap for the team and provide the capability to create quantifiable value by the use of data, analytics and insights. This includes developing data and workflows through efficient/automated ETL processes, and act as a key enabler to the rest of the team . You will have technical responsibility for understanding and managing the usage of key data sources as well as the development and maintenance of sales force, client and product profiles designed to facilitate ongoing and ad-hoc work.

                                                -

                                                -

                                                How You’ll Succeed

                                                +

                                                +

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                JOB SUMMARY
                                                City: Vancouver or Toronto
                                                Address: TBC
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 01/15/2021
                                                Platform: Personal & Commercial Banking

                                                Req ID: 307036
                                                Ad Code(s):

                                                +

                                                +

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/307036/Data-Analyst-Corporate-Client-Group,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-14T06:25:15.959Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/46399386-data-analyst-corporate-client-group-at-rbc,https://jobs.rbc.com/ca/en/job/307036/Data-Analyst-Corporate-Client-Group,expired,2021-01-07T06:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d42e09f8-213e-43fa-bac4-2ec5133070e8,46399760,Intact Financial Corporation,"Senior Data Scientist (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-01-07T06:17:38.868Z,"
                                                +

                                                #IntactCareers

                                                How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you join Intact, you will be in for quite a surprise!

                                                With offices in downtown Toronto, Montreal and Quebec City, the Lab is a digital innovation hub bringing together a diverse group of people with various levels of technical expertise and work experience who work together to propose and implement innovative solutions to the complex issues facing us.

                                                Merging the speed and culture of a start-up with the resources and means of a large enterprise, the Intact Lab – Data Science is a dynamic team offering exciting challenges, inspiring colleagues and great career opportunities.


                                                +
                                                Your Job
                                                +

                                                Are you a machine learning coding expert who believes we are only in the infancy of artificial intelligence? Are you passionate about advanced analytics and Big Data? Do you stay current with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!

                                                Workplace: Toronto (700 University av.)

                                                Here are a few ways you will make a difference:

                                                • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                                • Transform complex databases into relevant conclusions and recommendations
                                                • Keep pace with new approaches and trends and use them in your own solutions
                                                • Help maintain our data mining tools and platforms
                                                • Make actionable recommendations based on the findings
                                                • Work with other departments to promote the adoption of analytical principles within the organization
                                                • Validate the quality of the analytical approach and project outputs of the other team members
                                                • Your strong business acumen will directly contribute to the achievement of our goals and objectives by making the right business decisions

                                                +
                                                Your Skills
                                                +

                                                We can offer you:

                                                • Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams
                                                • Opportunities to have global impact with your work
                                                • Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board
                                                • A team of great colleagues to learn with and from
                                                • Continuous learning
                                                • Flexible and friendly working environment

                                                Here’s what you offer us:

                                                • Your Bachelor’s degree in Computer Science or related fields (Master’s degree or PhD an asset)
                                                • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                                • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                                  • Open-source frameworks: R, Python, GitHub
                                                • Expert-level understanding of the underlying theory of machine learning
                                                • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                                • Your great teamworking skills
                                                • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                                • Your strong communication, time management and work organization skills

                                                Here are a few reasons why others have joined our team:

                                                • An award-winning, inspiring workplace that supports its people and recognizes great work (Canada’s Top 100 Employers, Aon Platinum Best Employers, LinkedIn Top Company, Glassdoor Best Place to Work & Top CEO, Indeed Top-Rated Workplaces)
                                                • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                • Flexibility in how and where you work
                                                • A comprehensive financial rewards program that recognizes your success
                                                • An extensive, flexible benefits package
                                                • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                • A casual ‘dress for your day’ culture that encourages you to be yourself
                                                • A $350 annual wellness account that promotes an active lifestyle

                                                +
                                                Closing Statement
                                                +

                                                We are an Equal Opportunity Employer

                                                At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                Background Checks

                                                As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                Internal Candidates

                                                For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                Eligibility to Work in Canada

                                                It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.


                                                +
                                                Referral Bonus
                                                +

                                                This role is eligible for employee referral bonus. #myReferrals3000


                                                +
                                                ",,https://careers.intact.ca/ca/en/job/IFCOUS14020/Senior-Data-Scientist-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-01-18T07:24:13.792Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/46399760-senior-data-scientist-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14020/Senior-Data-Scientist-Toronto-Intact-Lab,expired,2021-01-07T06:17:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7483b4d0-bdd0-4065-ba0a-e702d80c2620,46895522,RBC,"Director, Data Science",on_site,"Toronto, Ontario, Canada",2021-01-11T06:17:37.937Z,"
                                                +

                                                What is the opportunity?

                                                +

                                                As Director, Data Science you will help create the advanced analytics strategy including statistical analysis, machine learning and deep learning. This role will work cross-functionally across the rest of the data management group and I&TS organizations to help deliver value through advanced analytics and modeling to help drive better data driven decisions.

                                                +

                                                +

                                                What will you do?

                                                  -
                                                • -Business Performance, Client and Product Profile Development - Develop and maintain streamlined ETL process for sales force, client and product data that can be used to facilitate both ongoing dashboard reporting and ad hoc analyses
                                                • -
                                                • -Dashboard Design and Development – Lead the development of our production dashboard related to key sales interactions, client experiences, product origination and channel trends for multi-level users throughout the organization.
                                                • -
                                                • -Data Exploration - Explore the data with the limited information, and develop a strategic data integration plan that will connect bank’s client journey from start to finish.
                                                • -
                                                • -Strong Partner – You will develop change management strategies and maintain open, collaborative lines of communication to ensure awareness of requirements and impacts. You will gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition
                                                • -
                                                • -Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights based this analysis with a wide variety of audience
                                                • +
                                                • Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
                                                • +
                                                • Deliver and bring to production models and tools that will analyze and automate data across the pipeline to bring AI assisted decision making to stakeholders and self healing solution
                                                • +
                                                • Lead the data science practice and use industry tools and practices including predictive advance analytics, machine learning, anomoly detection, text mining, natural language processing, cognitive computing, sentiment analytics, and other common AI methodologies.
                                                • +
                                                • Assist in the development of an analytic strategy and lead the implementation, including tool selection while leading analytical labs with supervised, semi-supervised and unsupervised machine learning frameworks
                                                • +
                                                • Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R
                                                • +
                                                • Work with the reporting team to report on metrics while working with the larger department to innovate new analytic solutions while automating existing ones
                                                • +
                                                • Promote analytics across the enterprise to enable RBC to become a data-driven organization.
                                                • +
                                                • Identify, monitor, & mitigate cross-project or cross-program dependencies while managing relationships, anticipating / mitigating risks, facilitating communications and lead projects in an agile fashion
                                                • +
                                                • Lead team of data analysts/scientists to actively work on solving business problems and delivering value
                                                • +
                                                • Engage sponsoring executives and project team members establishing trusted partnerships to ensure deliveries within scope, budget, and timelines.
                                                • +
                                                • Balance collaboration and consensus with ability to assert project management discipline where required while being the seasoned practitioner in leading project teams through fast and complex pace of projects.
                                                -

                                                -

                                                Who You Are

                                                +

                                                +

                                                What do you need to succeed?

                                                +

                                                Must-have

                                                  -
                                                • -Database Design and ETL - You demonstrate strong understanding on the data warehouse design with experience in managing and creating database model and ETL processes that supports and accelerate analytic end user. You must have advanced proficiency in various RDBMS, SAS, and ETL managements. You have the ability to perform complex data integration and transformation with large datasets including both structured and unstructured data
                                                • -
                                                • -Dashboard Development - You possess superior Tableau skills for the data visualization with proven records in designing, developing and maintaining enterprise level dashboards using Tableau. You can overcome the technical limitations of the tools with various techniques and creative work around solutions.
                                                • -
                                                • -You are a problem solver - You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business and technical problems and recommend solutions
                                                • -
                                                • -Analytical - You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Your critical thinking skills help to inform your decision making
                                                • -
                                                • -Detail Oriented - You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                • -
                                                • -Goal Oriented - You are driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact
                                                • -
                                                • -Client-Focused - You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do
                                                • -
                                                • -Values matter to you -You bring your real self to work and you live our values – trust, teamwork and accountability
                                                • +
                                                • A PhD or Masters in Engineering, Computer Science, Statistical modeling or similar
                                                • +
                                                • Minimum 10+ years in a data or analytics-focused role with 5 yrs in technology and infrastructure
                                                • +
                                                • Experience with state-of-art analysis techniques and measurement tools to continuously build valuable insights and business recommendations
                                                • +
                                                • Effective programming / query skills and in-depth knowledge of common data manipulation, visualization and analytical tools (e.g. Tableau, Elastic, Python, R etc)
                                                • +
                                                • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined
                                                • +
                                                • Analytical, insights driven with the ability to help the organization to leverage data driven decisions
                                                • +
                                                • Strategic with strong change management, continuous improvement and transformation skills
                                                -

                                                -

                                                What CIBC Offers

                                                -

                                                -

                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                +

                                                Nice-to-have

                                                  -
                                                • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                • -
                                                • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                • -
                                                • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                • -
                                                • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                • +
                                                • 5+ years of project management experience in cross functional settings
                                                • +
                                                • Experience in financial services
                                                • +
                                                • Engineering/Math background with a focus on statistics and/or analytics
                                                -

                                                -

                                                Please apply by: end of day on May 6, 2021

                                                -

                                                -

                                                What You Need to Know

                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                • -
                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                • +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                • +
                                                • Leaders who support your development through coaching and managing opportunities
                                                • +
                                                • Ability to make a difference and lasting impact
                                                • +
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • +
                                                • A world-class training program in financial services
                                                • +
                                                • Opportunities to do challenging work
                                                • +
                                                • Opportunities to take on progressively greater accountabilities
                                                +

                                                +

                                                +

                                                JOB SUMMARY
                                                City: Toronto
                                                Address: 330 Front St. West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Senior Manager/Director
                                                Pay Type: Salaried
                                                Position Level: PL06
                                                Required Travel(%): 0
                                                Exempt/Non-Exempt: N/A
                                                People Manager: Yes
                                                Application Deadline: 01/21/2021
                                                Req ID: 290960

                                                +

                                                +

                                                +

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-25T16:42:00.000Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/46895522-director-data-science-at-rbc,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,expired,2021-01-11T06:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +9e6403f7-5891-49f7-98d3-633d3d2e9271,46918606,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2021-01-11T15:26:33.425Z,"

                                                A Leader in Automating Intelligent Industrial Operations

                                                +

                                                At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                                +

                                                +

                                                Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                                +

                                                We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                +

                                                Things you should know about our tech

                                                -

                                                Job Location

                                                -

                                                Toronto-CC East 5th Floor

                                                -

                                                Employment Type

                                                -

                                                Regular

                                                -

                                                -

                                                Weekly Hours

                                                -

                                                37.5

                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Data---Analytics_2109683-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-05-19T21:06:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/60263350-senior-manager-data-analytics-at-cibc,,expired,2021-04-28T21:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -a6b3300a-5b2d-4b8f-85f6-9eda79cbeb35,60336426,BMO Financial Group,Data Scientist,on_site,"Toronto, ON, Canada",2021-04-29T13:55:06.593Z,"

                                                Address:

                                                -

                                                100 King Street West

                                                -

                                                -

                                                -

                                                Job Family Group:

                                                -

                                                Data Analytics & Reporting

                                                -

                                                -

                                                -

                                                +
                                                  +
                                                • We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems
                                                • +
                                                • We use Keras, SciKit-Learn, XGBoost, SHAP and regularly research and add new libraries to our stack
                                                • +
                                                • Our pipelines and microservices are developed predominantly with Python
                                                • +
                                                • We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines
                                                • +
                                                • We use CircleCI to continuously test, integrate and deploy code changes, including ML
                                                • +
                                                +

                                                +

                                                What we’re looking for:

                                                -

                                                Data Scientist works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable business outcomes and create a distinctive customer experience. In this role, you will engage business partners to dissect business problems, conduct research and analysis, generate ideas, structure data and building end-to-end statistical and machine-learning solutions.

                                                +

                                                We’re looking for candidates with:

                                                +
                                                  +
                                                • Experience applying machine learning and deep learning algorithms to time-series problems
                                                • +
                                                • Strong knowledge of probability and statistics, plus a passion for working with data
                                                • +
                                                • The ability to implement feature engineering and data transformations at scale
                                                • +
                                                • Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries
                                                • +
                                                • An understanding of microservice architecture and containerization
                                                • +
                                                • A proven track record of delivering well-designed and tested software
                                                • +
                                                +

                                                +

                                                Who you are:

                                                +

                                                +

                                                In general, we’re looking for developers that exemplify these qualities:

                                                +
                                                  +
                                                • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                                • +
                                                • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                                • +
                                                • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                                • +
                                                • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                                                • +

                                                -

                                                This is an exciting opportunity that is on the forefront of a critical enterprise capability and priority for the bank. As a change agent, you will be providing thought leadership to the enterprise on the value of data, analytics and machine learning and get to work with lines of business across the bank to help them achieve their objectives.

                                                +

                                                Your Benefits

                                                Some of the benefits you can expect as part of our team include:

                                                +
                                                  +
                                                • Awesome team and culture (every day)
                                                • +
                                                • Generous time off, including vacation and personal days to help rejuvenate
                                                • +
                                                • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                • +
                                                • Flexible office policy, with options to work remotely
                                                • +
                                                • Attend Conferences to extend your knowledge and skills
                                                • +
                                                • Company-provided MacBooks and standing desks
                                                • +
                                                • Top technology and tools to excel at your role
                                                • +
                                                • Free team lunches
                                                • +
                                                +

                                                +

                                                Why Join Canvass?

                                                +

                                                +

                                                Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                +

                                                +

                                                What's it like working at Canvass?

                                                +

                                                +

                                                This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                +

                                                +

                                                Apply Now

                                                +

                                                +

                                                Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                                -

                                                This role would be attractive for data scientists who have experience with big data analytics on large volumes and wide varieties of structured and unstructured data, and are looking to gain a wide exposure to problems in the financial industry.

                                                +

                                                You can also follow us on Twitter or LinkedIn to learn more about us.

                                                +

                                                Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                +

                                                Apply for this position

                                                +

                                                Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                                ",,https://www.canvass.io/machine-learning-engineer-job,aimasters@vectorinstitute.ai,,,,2021-02-10T15:26:43.031Z,False,0,21,91,https://talenthub.vectorinstitute.ai/jobs/46918606-machine-learning-engineer-at-canvass-analytics-inc,,expired,2021-01-11T15:26:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, +85884812-1cbf-440f-8e84-88c408531b95,46918641,Google,"Software Developer Intern, Machine Learning, PhD, 2021",on_site,"Waterloo, ON, Canada",2021-01-11T15:43:32.942Z,"

                                                Please complete your application before February 26th, 2021.

                                                +

                                                Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                +

                                                This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2021, depending on their program and unique circumstances.

                                                -

                                                Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                -

                                                Qualifications:

                                                +

                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                  -
                                                • Acts as a trusted advisor to assigned business/group.
                                                • -
                                                • Influences and negotiates to achieve business objectives.
                                                • -
                                                • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                • -
                                                • Assists in the development of strategic plans.
                                                • -
                                                • Identifies emerging issues and trends to inform decision-making.
                                                • -
                                                • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                                                • -
                                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                • -
                                                • Supports data collection, integration, and retention requirements for data.
                                                • -
                                                • Develops experimental design approaches to validate findings or test hypotheses.
                                                • -
                                                • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large data sets.
                                                • -
                                                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                • -
                                                • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                • -
                                                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                • -
                                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                • -
                                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                • -
                                                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                • -
                                                • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                • -
                                                • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared data sets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                • -
                                                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                • -
                                                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                • -
                                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                • -
                                                • Performs experimental design approaches to validate finding or test hypotheses.
                                                • -
                                                • Uses the appropriate algorithms to discover patterns.
                                                • -
                                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                • -
                                                • Supports development of tools and delivers training for data analytics and AI.
                                                • -
                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                • -
                                                • Leads/participates in the design, implementation and management of core business/group processes.
                                                • -
                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                • -
                                                • Provides specialized consulting, analytical and technical support.
                                                • -
                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                • -
                                                • Works independently and regularly handles non-routine situations.
                                                • -
                                                • Broader work or accountabilities may be assigned as needed.
                                                • +
                                                • 1. In the “Resume Section:” attach an updated CV or resume.
                                                • +
                                                • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
                                                  • Under “Degree Status,” select “Now attending” to upload a transcript.
                                                  +
                                                +


                                                Note: By applying to this position your application is automatically submitted to the following locations: Waterloo, ON, Canada; Montreal, QC, Canada

                                                -

                                                -

                                                Knowledge and Skills:

                                                +

                                                Qualifications

                                                +

                                                Minimum qualifications:

                                                  -
                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                • -
                                                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                                                • -
                                                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                • -
                                                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML, supervised learning, clustering, natural language processing (NLP), recommender engines, time series analysis, A/B testing, network/link analysis, sentiment analysis and data visualization.
                                                • -
                                                • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                                                • -
                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                • -
                                                • Verbal & written communication skills - In-depth.
                                                • -
                                                • Collaboration & team skills - In-depth.
                                                • -
                                                • Analytical and problem solving skills - In-depth.
                                                • -
                                                • Influence skills - In-depth.
                                                • -
                                                • Data driven decision making - In-depth.
                                                • +
                                                • Currently pursuing a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
                                                • +
                                                • Experience in Machine Learning or Artificial Intelligence.
                                                • +
                                                • Experience with one or more of the following: Recommendation/Ranking/Prediction (RRP), Computer Vision (CV), Natural Language Processing (NLP), Speech/Audio, Deep Learning/Neural Networks, Reinforcement Learning, Distributed Machine Learning.
                                                • +
                                                +

                                                Preferred qualifications:

                                                +
                                                  +
                                                • Examples of coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python.
                                                • +
                                                • A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
                                                • +
                                                +

                                                About the job

                                                +

                                                Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Developer Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

                                                +

                                                Google's Software Developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including distributed computing, performance measurement and analysis, operating systems, large-scale system design, networking, storage systems, security, compilers, UI design and mobile; the list goes on and is growing every day. As an intern you will work on a specific project critical to Google’s needs as our fast-paced business grows and evolves. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across a wide range of technologies.

                                                +

                                                Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                +

                                                Responsibilities

                                                +
                                                • General responsibilities may include working with a team of developers with any of the following: Applied Machine Learning, ML Recommendations / Ranking / Predictions, Data Visualization / Pipelining / Analysis, Computer Vision / Image & Video Processing, Natural Language Processing / Understanding, Speech & Audio Processing, Reinforcement Learning, Deep Learning / Neural Networks, Distributed Machine Learning / Infrastructure Human Computer Interaction, Machine Translation
                                                ",,https://careers.google.com/jobs/results/109884022835815110-software-developer-intern-machine-learning-phd-2021/?location=Canada,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-02-01T17:43:00.000Z,False,0,6,68,https://talenthub.vectorinstitute.ai/jobs/46918641-software-developer-intern-machine-learning-phd-2021-at-google,,expired,2021-01-11T15:43:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,Re-Posting an Expired Job, +b7135513-26e8-4ed4-9ad2-9a7ee6187b04,46920223,BMO Financial Group,Data Modeling Architect,on_site,"Toronto, ON, Canada",2021-01-11T18:54:47.412Z,"

                                                The Data Model Architect will coordinate the development of the data model by providing thought leadership, business analysis and organization skills. The Data Model Architect serves as a reference and authority on the process of data modeling cross platforms, applications and systems and ensure consistency with existing data models and data architectures, published standards and guidelines.

                                                +
                                                  +
                                                • Creates Conceptual, Logical, and Physical Data Models as the representation of the enterprise's data cross platforms, applications and systems, following the Enterprise Data Architecture standard and industry best practice and standards
                                                • +
                                                • Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and advanced data technologies.
                                                • +
                                                • Provides thought leadership in the areas of advanced data techniques, including data modeling, data governance, data integration, discovery, visualization, etc.
                                                • +
                                                • Creates repeatable and process-oriented data modeling, data dictionaries, metadata, taxonomy, data flow, patterns, design justifications or other artifacts designs, architecture and strategies to entail the business concepts, relationship with defined rules, default values and naming conventions.
                                                • +
                                                • Possesses expert level knowledge of data modelling concepts and is increasingly able to design, develop, and maintain advanced, complex, or mission-critical data models and datasets as well as assisting in developing high-impact, strategic insights.
                                                • +
                                                • Drives the architecture of the data services & platforms in support of self-service, and the adoption of these services in the most effective way.
                                                • +
                                                • Creates the data strategy to support Cloud data integration and transformation.
                                                • +
                                                • Drives the creation of detailed technology roadmap to lead the data technology transition from current state architecture to interim and then future state.
                                                • +
                                                • Provides strategic input into business decisions as a trusted advisor.
                                                • +
                                                • Provides advice and guidance to assigned Group/Functions on implementation of solutions.
                                                • +
                                                • Provides input to project teams to ensure that their processes and deliverables align with the BMO target state architecture.
                                                • +
                                                • Challenges the architecture validation process and other relevant enterprise data governance areas.
                                                • +
                                                • Develops and maintains strong working relationships with internal stakeholders in Enterprise, Technology and business groups in order to ensure adherence to Data Architecture standards.
                                                • +
                                                • Researches/monitors industry activities to keep abreast of relevant data technologies.
                                                • +
                                                • Recommends technology direction about the feasibility and applicability of such technologies within the environment.

                                                -

                                                -

                                                -

                                                We’re here to help

                                                At BMO Harris Bank we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                As a member of the BMO Harris Bank team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                To find out more visit us at https://bmoharriscareers.com.

                                                -

                                                -

                                                BMO Harris Bank is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. BMO Harris Bank N.A. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                +

                                                Qualifications:

                                                +
                                                  +
                                                • Typically 7-10 years of work experience in IT or business environment and/or BS/BA or MBA/MS in computer science, engineering, information systems, math or business
                                                • +
                                                • Expert knowledge of computer or network systems hardware and software theory, practice, concepts and technology relevant to organizational vision.
                                                • +
                                                • Sufficient business knowledge to assess impact of applied technology on customer’s business processes.
                                                • +
                                                • Solid analytical skills and experience in information taxonomy creation, unstructured information analysis.
                                                • +
                                                • Expertise at data modelling 3NF & Dimensional, including conceptual, logical and physical
                                                • +
                                                • Proven working experience at minimum one of financial industry data models, FSDM, ISO20022, FIX, IFS and etc
                                                • +
                                                • Deep understanding of metadata management, data modeling, data catalog and related tools
                                                • +
                                                • Solid hands-on experience in big data, data warehouse and/or analytic experience (using RDBMS, NoSQL, Graph database technologies, Hadoop, Spark, Kafka, SAS, ETL and Data Ingestion protocols).
                                                • +
                                                • Demonstrated projects experience in data architecture and microservice architecture
                                                • +
                                                • Working knowledge of Kafka event topics, restful API specification, document data taxonomy
                                                • +
                                                • Proven working experience in data governance and enterprise data management domains including Data Security, Data Strategy, Data Quality, Master Data Management, Data Catalogs, Data Lineage
                                                • +
                                                • Demonstrated experience in reverse-engineering of data models from existing systems.
                                                • +
                                                • Working experience on Cloud technologies (AWS or Azure is preferable) to build data solutions.
                                                • +
                                                • Awareness of established and emerging data technologies.
                                                • +
                                                • Understands the impact of design decisions, technical behaviour of the underlying operating system, technical behaviour of the data management layer, compiler and tools.
                                                • +
                                                • Experience with Data Virtualization over relational and non-relational sources, preferred.
                                                • +
                                                • Working knowledge of Agile development methodologies preferred.
                                                • +
                                                • Passion for technology &/or domains;
                                                • +
                                                • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
                                                • +
                                                • Exhibits knowledge of data architecture concepts and practices.
                                                • +
                                                • Demonstrates knowledge of architecture frameworks, methodologies, and tools. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation).
                                                • +
                                                • Possesses strong knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM).
                                                • +
                                                • Knowledge of project management methodology and its applicability to successful delivery of technical change.
                                                • +
                                                • Understands the strategic technical direction of: middleware, continuous Integration and continuous deployment, testing, systems management, enterprise data & access layers, and pertinent styles of computing,
                                                • +
                                                • Possesses a deep understanding and problem solving ability of various complexities.
                                                • +
                                                • Expert knowledge in the techniques that go into producing designs of complex systems, including requirements discovery and analysis, formulation of solution context, identification of solution alternatives and their assessment, technology selection, and design configuration.
                                                • +
                                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                                • +
                                                • Verbal & written communication skills - In-depth / Expert.
                                                • +
                                                • Analytical and problem solving skills - In-depth / Expert.
                                                • +
                                                • Influence skills - In-depth / Expert.
                                                • +
                                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                • +
                                                • Able to manage ambiguity.
                                                • +
                                                • Data driven decision making - In-depth / Expert.
                                                • +
                                                • n-depth / Expert.
                                                • +

                                                We’re here to help

                                                @@ -12537,4551 +13115,3586 @@ a6b3300a-5b2d-4b8f-85f6-9eda79cbeb35,60336426,BMO Financial Group,Data Scientist

                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                -

                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                -

                                                -

                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                ",,https://jobs.bmo.com/ca/en/job/R210004487/Data-Scientist,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-05-29T13:55:11.323Z,False,0,10,69,https://talenthub.vectorinstitute.ai/jobs/60336426-data-scientist-at-bmo-financial-group,,expired,2021-04-29T13:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -c67e61b0-f397-49a9-a790-58ef80737298,60369530,Thomson Reuters,Lead Software Engineer - C#.Net/Data Analytics,on_site,Toronto-Ontario-Canada,2021-04-29T19:44:09.981Z,"
                                                -Job Description

                                                As a member of the 3E Data Insights development team, you will build Data Analytics software that helps Legal firms analyze and improve their firm’s financial performance with rich visualizations.

                                                +

                                                To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                -

                                                About the Role

                                                -

                                                As a Lead Software Engineer you will:

                                                +

                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Modeling-Architect_R210000011,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-02-10T18:54:49.264Z,False,0,3,32,https://talenthub.vectorinstitute.ai/jobs/46920223-data-modeling-architect-at-bmo-financial-group,,expired,2021-01-11T18:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +b2682760-88e5-41c2-9de4-41dea31b22c2,46924117,TD Bank Group,Quantitative Portfolio Research Co-Op,on_site,"Toronto, ON, Canada",2021-01-11T21:16:01.110Z,"

                                                Company Overview

                                                +

                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                +

                                                TD’s Colleague Promise: A better you. A better us.

                                                +

                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                +

                                                Department Overview

                                                +

                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                +

                                                Our Momentum Program is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                  -
                                                • Develop Analytics Software – that delight our customers and have high standards for performance, usability, quality, and resilience

                                                • -
                                                • Show Leadership – lead a development team, provide technical expertise, help team meet deadlines

                                                • -
                                                • Be a Team Player – work in a collaborative team-oriented environment, valuing diversity of ideas and partnering with cross functional and remote teams

                                                • -
                                                • Be Curious and Innovative – continuously learn and grow and keep up with technological and data analytics innovations

                                                • -
                                                • Take Ownership – be accountable in meeting commitments and seeing problems through to resolution

                                                • -
                                                • Be an Effective Communicator – articulate complex technical issues, share ideas, value transparency, participate in peer-reviews and exhibit strong listening skills

                                                • -
                                                • Participate in all aspects of the development lifecycle – not just designing, developing and delivering software, but also participating in code reviews, team discussions and second-level support

                                                • +
                                                • Leadership talks with key Leaders from across the organization
                                                • +
                                                • Lunch and Learns on topics such as Innovation
                                                • +
                                                • Diversity and Inclusion and Personal Branding and so much more
                                                -

                                                -

                                                About You

                                                -

                                                You’re a fit for the role of Lead Software Engineer if you have:

                                                +

                                                TD Asset Management Inc. (TDAM) is an Investment Management firm with leading market positions in active, quantitative and passive portfolio management serving a large and diversified client base including pension funds, corporations, institutions, endowments, foundations and high net worth individuals. We also offer private money management services and manage retail mutual funds.

                                                +

                                                Job Description

                                                +

                                                Are you ready for a challenge? We are seeking an intellectually curious person, with a high level of mathematical maturity and excellent Python skills, to join the Portfolio Research & Analytics team as a Quantitative Portfolio Research Co-op.

                                                +

                                                The models developed by the Portfolio Research & Analytics team inform the investment decision making process and help drive quantitative investment strategies. If selected for this role, you will be primarily working on enhancing and testing our models and data processing capabilities.

                                                +

                                                On any given day you may be asked to:

                                                  -
                                                • Around 7-10 years of software engineering experience

                                                • -
                                                • At least 1 year of experience building cloud-native software (AWS is fine, but Azure is ideal)

                                                • -
                                                • Strong C#/.NET/.NET Core skills

                                                • -
                                                • Expert-level SQL skills with large relational and columnar databases

                                                • -
                                                • Solid data analytics experience ideally with tabular models, Power BI (preferred) and/or Tableau

                                                • -
                                                • Experience building, delivering, performance tuning and troubleshooting large-scale data warehouse and ETL processes

                                                • -
                                                • Experience developing and supporting both on-prem and SaaS software

                                                • -
                                                • Experience with most of the following technologies Azure Analysis Services, SQL Analysis Services, SQL Replication, Azure Functions, Azure DevOps, Azure Data Factory, Power BI, DAX, Power Shell, Python

                                                • -
                                                • Experience working with diverse and distributed teams

                                                • -
                                                • Experience with automated testing frameworks and a passion for high code coverage

                                                • -
                                                • Ability to learn new skills and adapt to technology and priority changes

                                                • -
                                                • Experience handling second-level support for production software

                                                • -
                                                • Experience helping junior developers and non-technical teams

                                                • -
                                                • Diverse and varied experience with multiple software systems, technologies, and processes

                                                • -
                                                • A can-do attitude, respect for your peers and a passion for results

                                                • +
                                                • Analyze a risk model for potential pockets of instability, and if any are found, research their root causes
                                                • +
                                                • Write a data scraping script and verify the correctness of output data using both visual and quantitative methods
                                                • +
                                                • Tune an optimizer profile to produce trades that are consistent with the investment objective of a fund
                                                • +
                                                • Develop a portfolio asset-allocation strategy that maximizes the Sharpe ratio, from a given set of component returns, and perform historical backtests
                                                • +
                                                • Create visualizations for return and risk performance indicators using Python
                                                • +
                                                • Fit a factor model and test its out-of-sample performance using Python statsmodels
                                                • +
                                                • Teach yourself some methodology you’ve never heard of before, by reading a paper, and then figure out the best way to use it in order to add value to the portfolio management process
                                                -

                                                -

                                                -

                                                What’s in it for You

                                                -

                                                At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                -
                                                  -
                                                • -

                                                  Learning & Development:

                                                  +

                                                  Candidates will find this role a great opportunity to leverage their strong mathematical and data analysis skills while gaining front office financial industry experience.

                                                  +

                                                  Why you should be excited about applying for this role:

                                                    -
                                                  • Exposure to a wide breadth of leading-edge technology

                                                  • -
                                                  • Career growth - the ability to work on multiple projects and/or with various teams

                                                  • -
                                                  • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                  • -
                                                  • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                  • +
                                                  • A chance to see the results of your work have immediate real-world impact
                                                  • +
                                                  • One-on-one mentoring
                                                  • +
                                                  • Co-op events
                                                  -
                                                • -
                                                • -

                                                  Benefits/Perks:

                                                  +

                                                  Students will have the opportunity to work on several projects independently and see the results of their work used in real-world contexts. Students will gain extensive experience in using Python for quantitative research, and significant hands-on SQL database experience.

                                                  +

                                                  Requirements

                                                    -
                                                  • Health benefits

                                                  • -
                                                  • Savings/investment plans

                                                  • -
                                                  • Paid time off (including time off to volunteer and extended parental leave)

                                                  • +
                                                  • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Mathematics, Finance, or similar.
                                                  • +
                                                  • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                                  • +
                                                  • Excellent understanding of mathematics:
                                                      +
                                                    • Linear algebra (e.g. decomposing a matrix into its eigenvectors)
                                                    • +
                                                    • Statistics (e.g. multivariate regression, covariance matrices)
                                                    • +
                                                    • Probability (numerically computing the expectation of an arbitrary function over a continuous density, finding a distribution that best fits to data)
                                                  • -
                                                  • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balanc

                                                  • -
                                                  • Global Opportunities: We have employees in over 90 countries, working across three different industries

                                                  • -
                                                  • Your well-being: We offer a program that focuses on making our lives healthier

                                                  • +
                                                  • Mental persistence to analytically explore all logical implications of an idea
                                                  • +
                                                  • Experience in implementing your ideas in software, preferably using one of the following tools
                                                      +
                                                    • Python/pandas/numpy/scipy/statsmodels/scikit-learn
                                                    • +
                                                    • MATLAB
                                                    • +
                                                    • C++
                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    Accessibility

                                                    -

                                                    As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                ",,https://jobs.thomsonreuters.com/ShowJob/Id/512070/Lead-Software-Engineer-C#.Net-Data-Analytics/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-19T21:02:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/60369530-lead-software-engineer-c-net-data-analytics-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/512070/Lead-Software-Engineer-C#.Net-Data-Analytics/,expired,2021-04-29T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, -88e35a25-01fd-4a9c-8278-e1e7fcead8ca,60556172,ODAIA,Senior Applied Data Science Engineer,full,Anywhere,2021-04-30T17:28:50.777Z,"

                                                Senior Applied Data Science Engineer

                                                -

                                                (Downtown Toronto - Remote during COVID)

                                                -

                                                This is a unique opportunity to come in and build something really big. We have an amazing competitive advantage because of all the development that went into our technology and platform that is currently being used by Fortune 500 companies.

                                                -

                                                It is an incredible opportunity to get in now! We are in high growth mode, so it is all about teamwork and winning together! We have a great product and a very talented and motivated team. The company will be growing extensively over the next 3+ years. We need people who are motivated to be an integral part of this high growth phase. This is the perfect time in the market to build something huge!

                                                -

                                                What We Do

                                                -

                                                ODAIA's Maptual and Multitüd are AI-powered sales and marketing insights, automation, and predictive analytics SaaS products for pharma and eCommerce, respectively.

                                                -

                                                Maptual helps pharma/biotech companies prospect, predict and engage the journeys of their customers in real-time by applying AI to enterprise data for developing smart segmentation, predicting HCP behavior, and triggering hyper-targeted sales and marketing Next Best Actions to guide omnichannel and field teams' towards enhanced brand performance.

                                                -

                                                Multitüd helps eCommerce merchants enrich their understanding of their customer personas and identify audience targeting segments based on specific performance goals.

                                                -

                                                What's on Offer

                                                -
                                                  -
                                                • Working on unique challenges productizing data science in unique new ways
                                                • -
                                                • Opportunity to make a full impact by researching, designing, building, and contributing directly
                                                • -
                                                • Chance to work in a talented product engineering team
                                                • -
                                                • Family-oriented startup culture and highly product-driven
                                                • -
                                                • Tremendous growth and learning opportunities
                                                • -
                                                • We’re located in downtown Toronto but are virtual during COVID. We stay connected through virtual calls, and virtual parties, BYOB!
                                                • -
                                                • Great benefits!
                                                • -
                                                • Stock Options
                                                • + +
                                                • Experience with the following would be considered an asset:
                                                    +
                                                  • Bloomberg terminal
                                                  • +
                                                  • SQL and database design (with any major RDBMS)
                                                  • +
                                                  • Web development and JavaScript
                                                  • +
                                                  • Git version control
                                                  • +
                                                  • Familiarity with software development in a Linux-based environment
                                                  -

                                                  Who You Are

                                                  -

                                                  As a Senior Applied Data Science Engineer, you possess the passion, curiosity, and motivation to design and implement solutions end-to-end. You have a product affinity and are laser-focused on bringing value to end-users with an amazing attention to detail. You are a high-impact individual contributor who can also effectively mentor and collaborate with the team. You wield both the data science expertise and engineering know-how to solve problems in a flexible and scalable manner, and can quickly integrate production quality code into current systems.

                                                  -

                                                  Job Description

                                                  -
                                                    -
                                                  • Build great data-science-driven software products in a dynamic startup environment
                                                  • -
                                                  • Participate in all aspects of the product life cycle: research, design, prototype, build, test, CI/D, code reviews, and architecture reviews
                                                  • -
                                                  • Translate business objectives into realistic data science/engineering solutions, and facilitate alignment with the product owner and the back-end team to bring solutions to production, and ultimately to the end-user
                                                  • -
                                                  • Deploy data science driven features via microservices, containers, and other infrastructures on AWS
                                                  • -
                                                  • Validate output and insights both manually and at scale with automation
                                                  • -
                                                  • Prioritize the depth of research and solution based on realistic timelines required by the product roadmap
                                                  • -
                                                  • Our Back-End stacks: Python, AWS, Kubernetes, ECS, RDS, MySQL, MongoDB, DynamoDB, Lambda, S3, API Gateway, Cognito, Kafka, SQS, etc...
                                                  • + +
                                                  • Strong time management and organization skills.
                                                  • +
                                                  • Keen interest in finance and investments. Previous experience in financial industry is not required but considered an asset.
                                                  • +
                                                  • Attributes that are beneficial to the role are: self-starter, analytical and attention to detail.
                                                  • +
                                                  • The ideal candidate should be comfortable working in a team environment.
                                                  -

                                                  Requirements

                                                  +

                                                  Additional Information

                                                    -
                                                  • Solid understanding of computer science fundamentals, such as, data structures and algorithms.
                                                  • -
                                                  • Prior experience in shipping a software product by successfully applying data science (3+ years of experience or equivalent)
                                                  • -
                                                  • Knowledge or experience with statistical analysis, time-series analysis & forecasting, NLP, and sequence analysis.
                                                  • -
                                                  • Solid understanding of machine learning fundamentals, such as, feature engineering, clustering, validation, embeddings, neural networks, etc.
                                                  • -
                                                  • Experience with algorithm optimization, handling large datasets, data and task parallelism.
                                                  • -
                                                  • Self-directed, take initiative, and adjusts quickly to changing priorities, and copes effectively with complexity and ambiguity
                                                  • -
                                                  • Has exceptional communication skills, understand how to influence both technical and non-technical teams
                                                  • -
                                                  • A continuous learner who seeks and welcomes feedback to improve yourself and your craft
                                                  • -
                                                  -

                                                  Base Salary Range

                                                  -

                                                  $115,000 - $150,000

                                                  ODAIA is committed to creating a diverse environment and is an equal opportunity employer. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

                                                  -

                                                  ",,https://secure.collage.co/jobs/odaia/19960,arjola.kelly@odaia.ai,https://www.odaia.ai/,,,2021-05-30T17:45:00.000Z,False,0,8,73,https://talenthub.vectorinstitute.ai/jobs/60556172-senior-applied-data-science-engineer-at-odaia,,expired,2021-04-30T17:28:00.000Z,website,Scaling (20-499),Vector Quick Apply,Software,Senior Level,Bachelors Degree,New Posting, -b6cb56c7-0059-4a00-9bff-d84b9681736c,60912291,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2021-05-03T15:31:04.315Z,"
                                                  -

                                                  Company Overview

                                                  -
                                                  +
                                                • This position is a 4-month work term and will commence May 3rd, 2021.
                                                • +
                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                • +
                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                • +
                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                • +
                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                • +
                                                ",,https://jobs.td.com/en-CA/jobs/12047774/quantitative-portfolio-research-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-01-25T17:16:00.000Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/46924117-quantitative-portfolio-research-co-op-at-td-bank-group,,expired,2021-01-11T21:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +71a11f4d-2cbc-43f1-982b-a049ad620b9d,46924133,TD Bank Group,Data Scientist – Business Innovation,on_site,"Toronto, ON, Canada",2021-01-11T21:22:52.533Z,"

                                                Company Overview

                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                -

                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                -
                                                -

                                                -

                                                Department Overview

                                                -

                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                -

                                                -

                                                Job Description

                                                -
                                                -

                                                About this Role

                                                -

                                                Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                -

                                                As a Data Steward II, you will:

                                                -
                                                  -
                                                • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                • -
                                                • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                • -
                                                • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                • -
                                                • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                • -
                                                • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                • -
                                                • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                • -
                                                • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                • -
                                                • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                • -
                                                • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                • -
                                                • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                • -
                                                -
                                                -

                                                -

                                                Requirements

                                                -
                                                -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                -
                                                  -
                                                • Undergraduate degree or technical certificate
                                                • -
                                                • Seven (7) or more years relevant experience
                                                • -
                                                • Skill in using software tools, applications, data analysis methods
                                                • -
                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                • -
                                                -
                                                -

                                                -

                                                Hours

                                                -
                                                37.5
                                                -

                                                -

                                                Inclusiveness

                                                -

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                -

                                                -
                                                ",,https://jobs.td.com/en-CA/jobs/12801897/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-05-19T21:02:00.000Z,False,0,0,25,https://talenthub.vectorinstitute.ai/jobs/60912291-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12801897/data-steward-ii-toronto-ca/,expired,2021-05-03T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -dd38cee8-659e-45e5-9cba-534662243776,61830565,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-05-07T16:46:42.625Z,"

                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                -

                                                -

                                                PURPOSE:

                                                -

                                                -

                                                The Global Data & Analytics Solutions team at Scotiabank has been focused to build and integrate advanced analytics solutions in Bank’s core processes to derive financial loss presentations, operational efficiencies, operational risk mitigation and customer personalized support; and with heavy emphasis on reusability of analytic solutions. We partner very closely with Digital Banking, Operations and Technology function areas of business. We have a high performing team culture, and the team consists of highly accomplished business professionals, Data Scientists, Data Strategists, Model-ops Engineers and Agile Project Managers.

                                                -


                                                We are seeking for a passionate individual at Senior Manager – Data Science Lead role with experience in managing and delivering complex analytic projects with agile mindset, experience in working with cross functional teams from both technology and business sides and should have a proven track record of fostering empowerment, a high-performing team culture and facilitating creativity. An individual would require to have a deep understanding of data science functional knowledge and building the high-impact analytics end-to-end solutions. Role is required to support the core business functions through the rapid project deliveries that will help to drive accelerated benefits for our customers.

                                                -

                                                -

                                                -

                                                WHAT WILL YOU DO?

                                                -


                                                • Data Science Lead will be working on strategically prioritised analytic use cases from technology and other function areas in bank under the guidance of a Director
                                                • You will manage and support the team of data scientists, modelOps engineers and data strategist to develop, deploy and monitor advanced analytics, predictive analytics and ML analytics solutions
                                                • You will prepare detailed documentation to outline data sources, methodologies, models, and algorithms used and developed
                                                • Present results to business line stakeholders and help to drive real data-driven culture
                                                • Promote high-performance culture and empowerment in a team by ensuring that each team member is fully engaged in project with meaningful contribution
                                                • Participate and help in identifying analytic and AI opportunities to drive business value; and be an advocate for building reusable and scalable analytic solutions
                                                • Manage project requirement gathering, scope and timeline
                                                • Build and maintains relationships with cross-functional teams
                                                • Build, manage and advocate the best practices for managing and executing the analytic projects

                                                -

                                                -

                                                -

                                                WHAT ARE WE LOOKING FOR?

                                                -


                                                • A university Degree in Business and/or STEM Discipline, preferably Master or above
                                                • A strong project management experience in analytics and preferably in Finance industries
                                                • Proven track record of executing the advanced analytics projects in agile delivery framework
                                                • Knowledge of data science project life cycle – discovery, build, deploy and monitor
                                                • Excellent verbal and written communication skills, ability to work with diverse team
                                                • Knowledge of data science techniques to conduct descriptive, predictive, ML and NLP analytics
                                                • Detailed level of understanding on organization’s risk appetite, risk culture and governance around the data science solutions
                                                • Strong coaching and training skills
                                                • Hands-on experience of working with data science tools and technologies such R/Python, SQL, Hive, Sqoop, PowerBI/Tableau etc.
                                                • Hands-on experience of using project management and collaborative tools such as confluence, JIRA & Bitbuckets
                                                • Familiarity or experience with deployment mechanisms for machine learning algorithms ( Docker & Kubernetes)
                                                • Familiarity with cloud technologies such as AWS, GCP or MS Azure

                                                -

                                                -

                                                -

                                                WHAT’S IN IT FOR YOU?

                                                -


                                                • An inclusive and collaborative working environment that encourages pragmatic creativity, curiosity, and celebrates success
                                                • You will get to work with and learn from friendly and diverse group of accomplished leaders
                                                • Opportunity to work with different business lines where analytics are being tested and applied
                                                • Training and learning program with resources like LinkedIn Learning, Plural sights and networking with Subject Matter Experts
                                                • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program, and continuing education programs

                                                -

                                                -

                                                -

                                                Location(s): Canada : Ontario : Toronto

                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-ON-M5H1H1/546858817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T20:59:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/61830565-senior-manager-data-science-at-scotiabank,,expired,2021-05-07T16:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -6283de79-5b0a-43b9-ab06-b913730b438e,61830568,Scotiabank,"Senior Data Architect, Global Compliance",on_site,"Toronto, ON, Canada",2021-05-07T16:47:25.794Z,"

                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                -

                                                -

                                                -

                                                Overview

                                                -

                                                -

                                                Within Scotiabank’s Global Compliance department, the Data Analytics team is looking to hire a Senior Data Architect, who will work closely with business partners, technology teams, engineering teams, data architects, data modelers and other analytics teams in the Bank to unlock the power of data and draw impactful insights to support decision-making and day-to-day operations in compliance.

                                                -

                                                -

                                                We are looking for individuals who never settle, are always looking for new ways to solve big problems. The incumbent should demonstrate the ability to collaborate effectively with internal and external partners—including technologists, product managers, engineers, designers and senior leadership. The Senior Data Architect will contribute to the overall success of the global compliance team in protecting the Bank’s customers thereby keeping their trust in our ability to provide excellent services all the time.

                                                -

                                                -

                                                Responsibilities

                                                -

                                                -
                                                  -
                                                • Design relational and/or multidimensional databases to support Global Compliance data domain solutions and physical data modeling according to project requirements for data acquisition and security as well as user-defined deliverables.
                                                • -
                                                • Design and develop Extract-Transformation-Load (ETL) processes in accordance with best industry practices and enterprise technology standards.
                                                • -
                                                • Develop logical and physical data models including meta data cataloguing, master data management and data traceability.
                                                • -
                                                • Provide guidance to developers regarding all aspects of data lifecycle from origination to consumption.
                                                • -
                                                • Review existing data models to identify improvement opportunities and implement optimization solutions.
                                                • -
                                                • Design, optimize and fine-tune data models to support data visualization tools to ensure optimal performance and enhanced user experience.
                                                • -
                                                • Application of tools for data analysis, data mining, source-to-target data mapping, data domain and referential integrity verifications; programming skills are desired.
                                                • -
                                                • Builds and maintains proper documentation, data lineage and extract-transform-load (ETL) processes.
                                                • -
                                                • Participate in Agile planning and retrospective sessions, attend stand-ups, etc.
                                                • -
                                                • Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
                                                • -
                                                -

                                                -

                                                Requirements

                                                -

                                                -
                                                  -
                                                • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics) and/or relevant work experience.
                                                • -
                                                • 5+ years of experience in Data Architecture, Data Collection, Cleansing, Aggregation, Automation, and Design of enterprise grade applications and systems.
                                                • -
                                                • 5+ years of hands-on experience with SQL (SQL Server, Oracle etc.), ETL tools (SSIS, DataStage etc.) and programming languages (Java, Python etc.).
                                                • -
                                                • 3+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g. unstructured logs, XML, JSON, flat files).
                                                • -
                                                • Proficiency and experience in building dimensional data models.
                                                • -
                                                • 3+ years of experience in implementing and managing visualization tools such as Power BI, or Tableau.
                                                • -
                                                • SQL Server and SSIS expertise is highly desirable.
                                                • -
                                                • Experience with agile methodologies, source control management and building processes.
                                                • -
                                                • Excellent communication skills, with a strong customer-focus.
                                                • -
                                                • Nice-to-have experience with statistical analysis and machine learning with common machine learning libraries in R or Python.
                                                • -
                                                • Nice to have experience with Big Data ecosystem (Hadoop, Hive, Spark etc.).
                                                • -
                                                -

                                                -

                                                Location(s): Canada : Ontario : Toronto

                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect%2C-Global-Compliance-ON-M5C2C5/546852317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-06T16:47:27.268Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/61830568-senior-data-architect-global-compliance-at-scotiabank,,expired,2021-05-07T16:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -affd1b07-0090-4848-8bd1-1c9cbd45cf08,61830804,TD Bank Group,BUSINESS INSIGHTS & ANALYTICS INTERN/CO-OP,on_site,"Toronto, ON, Canada",2021-05-07T16:51:36.440Z,"

                                                Company Overview

                                                -

                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                -

                                                TD’s Colleague Promise: A better you. A better us.

                                                -

                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                +

                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                Department Overview

                                                -

                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                -

                                                Our Momentum Program, is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                -
                                                  -
                                                • Leadership talks with key Leaders from across the organization
                                                • -
                                                • Lunch and Learns on topics such as Innovation
                                                • -
                                                • Diversity and Inclusion and Personal Branding and so much more
                                                • -
                                                +

                                                The business innovations team is a newly established team within TD Securities. Our mandate is to drive business transformation using data and analytics.

                                                +

                                                The successful candidate will synthesize front office business knowledge with data & analytics techniques to deliver value to TD Securities’ sales and trading operations.

                                                +

                                                This is a unique opportunity for a motivated candidate who is passionate about capital markets and can conceptualize innovative analytical products to deliver results.

                                                +

                                                The candidate will work on a wide array of projects ranging from client analytics, algorithmic trading, post trade analytics and workflow optimization,

                                                +

                                                The goal is to add immense value to our clients and franchise using TD Securities’ proprietary data assets combined with leading edge machine learning, analytics and cloud service partnerships.

                                                +

                                                This role will need high collaboration and engagement with multiple groups within TD Securities.

                                                Job Description

                                                -

                                                The Business Insights & Analytics Co-op/Intern is a 4-month work term in analytics and data. The Business Insights & Analytics Co-op/Intern will perform a variety of activities, which may include:

                                                  -
                                                • Perform SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
                                                • -
                                                • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                                • -
                                                • Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                                • -
                                                • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                                • -
                                                • Collaborate with business partners to support the business case development process for analytics solutions
                                                • +
                                                • Engage sales and trading professionals to identify opportunities to solve real-world problems using data and analytics.
                                                • +
                                                • Rapidly prototype early-stage solutions (MVP) and be objective on its efficacy to end-state.
                                                • +
                                                • Execute on all aspects of analytics projects; data collection, data wrangling, model development, visualization, training and stakeholder management.
                                                • +
                                                • Document assumptions and methodologies, carry out validation and testing to facilitate peer reviews and independent model validation
                                                • +
                                                • Think strategically by proposing new / alternative approaches to solve technical problems.
                                                • +
                                                • Partner with technology on infrastructure, SDLC and deployment processes.
                                                • +
                                                • Develop and strengthen the advanced analytics capabilities of TD Securities.

                                                Requirements

                                                -

                                                Assigned Line of Business Requirements:

                                                -
                                                  -
                                                • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Data Analytics or related, with the intent of going back to school at the start of your work term.
                                                • -
                                                • Strong statistical and analytical skills and interest are necessary.
                                                • -
                                                • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                                                • -
                                                • Knowledge in one or more of R, Python, SQL, SAS or other data-related programming languages.
                                                • -
                                                • Knowledge in data visualizations with tableau
                                                • -
                                                • Knowledge with Data Management, Analytics, and Project Management is a plus.
                                                • -
                                                -

                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                                -

                                                -

                                                Additional Information

                                                  -
                                                • This position is a 4-month work term and will commence Sept 7 – Dec 23, 2021.
                                                • -
                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                • -
                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                • -
                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                • -
                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                • +
                                                • Passionate about capital markets and able to translate non-technical requirements into product definition with associated solutions as enabled by data, analytics and visualization.
                                                • +
                                                • Motivated by complex analytical problems, curious and detail-oriented.
                                                • +
                                                • Able to independently research analytic techniques and propose alternatives for the proposed projects.
                                                • +
                                                • Scale minded ensuring re-use of components and techniques.
                                                • +
                                                • Inquisitive and constantly learning diverse techniques on machine learning, deep learning, AI, statistical modeling, information theory, data-architecture, etc.
                                                • +
                                                • Clear communicator, both verbal and written to present articulately and confidently.
                                                • +
                                                • Team player that can engage on innovation and cultural changes through the organization.
                                                • +
                                                • TD Bank’s culture carrier for diversity and inclusion.
                                                -

                                                -

                                                Hours

                                                -

                                                37.5

                                                -

                                                -

                                                Start Date

                                                -

                                                – Fall

                                                -

                                                -

                                                Inclusiveness

                                                -

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                ",,https://jobs.td.com/en-CA/jobs/12816931/business-insights-analytics-intern-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-06-06T16:51:38.059Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/61830804-business-insights-analytics-intern-co-op-at-td-bank-group,,expired,2021-05-07T16:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -c02b3b05-7e60-4b39-ae16-ec8f3fe83001,61831420,CIBC,"BI Consultant, Enterprise Data Analytics",on_site,"Toronto, ON, Canada",2021-05-07T17:25:23.633Z,"

                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                -

                                                -

                                                At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                -

                                                -

                                                To learn more about CIBC, please visit CIBC.com

                                                -

                                                -

                                                Job Description

                                                -

                                                -

                                                What You’ll Be Doing

                                                -

                                                -

                                                Enterprise Data & Advanced Analytics is responsible for establishing data as a strategic asset for CIBC, building out our data and analytics capabilities, and developing an enterprise-wide data enablement strategy. This role is key to deliver and provide expertise on BI & Analytics, data integration as well as UI design techniques. The ideal candidate is a self-motivated individual with knowledge of the technologies that are utilized to support CIBC's BI/Analytical standard tools.

                                                -

                                                -

                                                How You'll Succeed

                                                -

                                                +

                                                Candidate Experience/Qualifications

                                                  +
                                                • MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Physics, Data Science, or similar.
                                                • -The BI Consultant will design and carry out the development of BI Analytics and data integration leveraging a wide variety of tools connected to multiple data sources, taking into account CIBC processes, methodologies, data flows, system dependencies.
                                                • -
                                                • -You will Provide leadership in designing BI/Analytics development, implementation activities, future roadmap development of the Analytical environments & Analytical tools (Tableau, Alteryx, ThoughtSpot, SQL etc.)
                                                • +1-2 years of hands-on experience developing statistics and machine learning models in a capital markets setting. +
                                                • Strong ability to develop and debug in Python, Java, C or C++. Proficient in git version control.
                                                • +
                                                • Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas).
                                                • +
                                                • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
                                                • +
                                                • Experience with public cloud and services (AWS, Azure)
                                                • +
                                                • Familiarity with basic data table operations (SQL, Hive, PostGres, Django, etc.).
                                                • +
                                                ",,https://jobs.td.com/en-CA/jobs/11822009/data-scientist-business-innovation-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-01-18T17:52:00.000Z,False,0,9,68,https://talenthub.vectorinstitute.ai/jobs/46924133-data-scientist-business-innovation-at-td-bank-group,,expired,2021-01-11T21:22:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +97ab0055-9bfe-42f3-a850-da4edb8bbd01,47176254,Loblaw Companies Ltd.,Data Developer Intern Supply Chain Logistics,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-01-14T06:17:15.171Z,"
                                                +
                                                +
                                                +

                                                Location:

                                                1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                +

                                                +

                                                The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                +

                                                +

                                                +

                                                +

                                                Why is this role important?

                                                +

                                                WHY LOBLAW?

                                                +

                                                The Loblaw Supply Chain is the heart of our business and is committed to making customers our number one priority. As a member of our dynamic Supply Chain network, you will play a role in ensuring our product – nearly 1billion units of it – makes its way from one of our 3,000 vendors, through one of our 27 distribution centers, to one of our 2,300 locations across Canada, and into the homes of millions of Canadians each year. How’s that for a challenge?

                                                +

                                                +

                                                WHAT YOU’LL DO

                                                +
                                                • -Identify opportunities to automate, streamline processes that will bring in efficiency in reporting and analytical environments, lessen manual intervention and increase end user efficiency.
                                                • + The candidate will be responsible for supporting the discovery, development and delivery of ongoing technological solutions to improve the competitive advantage of Loblaw through continuous business process improvements.
                                                • -Lead and partner with Business Analytics, Technology, Enterprise Architecture, and other business groups with a focus of fostering BI/Analytics research & innovation culture
                                                • -
                                                -

                                                -

                                                What We’re Looking For

                                                -

                                                -
                                                  -
                                                • Practical knowledge and hands on experience in the area of Data Engineering, BI and Data Analytic, Big Data (Hadoop).
                                                • -
                                                • 3+ years of hands-on experience with Tableau, Alteryx, T-SQL (MS SQL), Python, Hive, Impala. Having exposure to Spark, HTML and Salesforce is an asset.
                                                • -
                                                • Presentation/interactive/analytical skills sufficient to convey both factual and conceptual information utilizing methodologies as Rapid BI, Design Thinking and Storytelling.
                                                • -
                                                • Business analysis and consulting skills to precisely articulate & understand business requirements and ideas that involve interpretation, analysis, assessment and implementation.
                                                • -
                                                • Working knowledge of CIBC’s organizational structure, facilities, policies, processes, products and operating procedures, guidelines and systems is preferable.
                                                • -
                                                • Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                • -
                                                -

                                                -

                                                Who You Are

                                                -

                                                -
                                                  + Effectively communicate customer needs and priorities for project planning, development, implementation, maintenance and support.
                                                • -You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                • + Research industry leading solutions and determining the feasibility of implementation in our Supply Chain network.
                                                • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                • + Perform operational analysis and business process mapping using data and modelling driven approaches
                                                • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                • + Use initiative and critical thinking to deal with concerns/issues/roadblocks within projects.
                                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                • -
                                                -

                                                -

                                                What CIBC Offers

                                                -

                                                -

                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                -
                                                  + Maintains accountability and is focused on results.
                                                • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                • + Focuses on opportunities to improve and streamline user experiences with software & hardware.
                                                • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                • + Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                                • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                • + Analyze, clarify and present the technical components of business issues/needs in a clear and concise format and in a professional, diplomatic and timely fashion to senior management team
                                                • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                • + Excellent grasp of business process and operational workflow modeling.
                                                -

                                                -

                                                What You Need to Know

                                                +

                                                +

                                                WHAT YOU’LL NEED

                                                  -
                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                • -
                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                • +
                                                • Working towards an undergraduate degree in Engineering, Computer Science, Math & Stats, Business Administration, or related fields.
                                                • +
                                                • Be able to handle multiple tasks at the same time and be able to re-prioritize effectively.
                                                • +
                                                • Excellent problem solving, critical thinking and analytical skills
                                                • +
                                                • Must be able to work independently and/or collaboratively in a fast paced cross-functional environment.
                                                • +
                                                • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                                • +
                                                • Past experiences and knowledge of Distribution Centre, Logistics, Transportation, Automation, or General Supply Chain concepts in an asset
                                                • +
                                                • Exceptional Microsoft Office skills, including Microsoft Word, Microsoft Excel, Microsoft PowerPoint, with the ability to manipulate data, construct graphical reports, flowcharts and basic functions.
                                                • +
                                                • Knowledge of SQL, SAS, Python, simulation software (AnyLogic, Simul8, etc.), BI Dashboard (Power BI, Tableau, MSTR, etc.), and/or Microsoft Power Platform are an asset but not required
                                                • +
                                                • Knowledge of basic financial modelling and forecasting in an asset but not required
                                                -

                                                -

                                                -

                                                Job Location

                                                -

                                                Toronto-55 Yonge Street, 6th

                                                -

                                                Employment Type

                                                -

                                                Regular

                                                -

                                                -

                                                Weekly Hours

                                                -

                                                37.5

                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/BI-Consultant--Enterprise-Data-Analytics_2108767-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-05-19T20:55:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/61831420-bi-consultant-enterprise-data-analytics-at-cibc,,expired,2021-05-07T17:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,College Diploma,New Posting, -7f87f9cc-e552-4ffc-af5a-edb835385c5e,61831819,BMO Financial Group,"Data Analysts & Data Scientists, Fall 2021 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON, Canada",2021-05-07T17:36:37.563Z,"

                                                Address:

                                                -

                                                100 King Street West

                                                -

                                                -

                                                -

                                                Job Family Group:

                                                -

                                                Technology

                                                -

                                                -

                                                -

                                                -

                                                -

                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                -

                                                -

                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                -

                                                -

                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @bmooncampus & Instagram @bmo_on_campus.

                                                -

                                                -

                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                -

                                                -

                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                -

                                                -

                                                -

                                                Ensures the quality of the products that technology delivers, working closely with all applications, common services/middleware, and infrastructure teams throughout the development/engineering lifecycle. Designs, develops, executes, and maintains test plans of infrastructure, common services/middleware, data, and applications in various environments. Records and documents testing results (including anomalies and issues) and compares them to expected results. Detects solution failures so that defects may be discovered and corrected. Generates historical analysis of test results and maintains a list/repository of defects. Reviews and interprets all documentation related to testing, including business requirements and functional and design specifications, to provide input to the project team on the planning of testing activities. Provides immediate response to production program problems.

                                                +

                                                +

                                                +

                                                How You’ll Succeed:

                                                +

                                                At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                +

                                                If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                +

                                                +

                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                +

                                                +

                                                +

                                                Employment Type:

                                                Full time

                                                +

                                                +

                                                Type of Role:

                                                Temporary (Fixed Term)

                                                +

                                                Type of Contract:

                                                Fixed Term

                                                +

                                                +

                                                +

                                                Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                +

                                                +

                                                +

                                                +

                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                +
                                                +
                                                ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Developer-Intern-Supply-Chain-Logistics_R2000197561,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-01-21T07:17:47.419Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/47176254-data-developer-intern-supply-chain-logistics-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Developer-Intern-Supply-Chain-Logistics_R2000197561,expired,2021-01-14T06:17:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, +3968b96e-7206-4f03-bfca-5651d95d7ebb,47299516,BenchSci,Senior Software Engineer in Test,full,Toronto or Remote (Canada) /,2021-01-15T07:16:52.184Z,"
                                                +
                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                +

                                                +
                                                We are looking for a Senior Software Engineer in Test to join our growing Engineering team. Reporting to the Director of Engineering, Reagent Platform, you will drive quality within the team by building automated tests, tools, and infrastructure with the goal of increasing the quality of our product. As BenchSci's first dedicated Software Engineer in Test, you will build out this practice from the ground up.
                                                +

                                                +
                                                +

                                                You Will:

                                                +
                                                    +
                                                  • Take over our Engineering, Product, Science, and Customer Success weekly manual testing to understand our business logic and work towards automating the majority of these test cases
                                                  • +
                                                  • Build our end to end automated testing framework and integrate it into our CI pipeline
                                                  • +
                                                  • Create and document the standards for our testing practices and train and mentor our developers to adopt these practices
                                                  • +
                                                  • Build a data warehouse and Business Intelligence reports on automated regression activities for non-engineering staff
                                                  • +
                                                  • Drive and advocate for quality across our engineering team during sprint planning, architecture designs, and release management to improve overall code quality and release confidence
                                                  • +
                                                +
                                                +

                                                You Have:

                                                +
                                                    +
                                                  • 2+ years of software engineering experience on a development team
                                                  • +
                                                  • 2+ years of test engineering experience on a development team
                                                  • +
                                                  • Experience with E2E automated testing tools such as Cypress, and unit testing tools like Jest for our Javascript / React functionality
                                                  • +
                                                  • Solid experience with data testing for our SQL and Python API functionality
                                                  • +
                                                  • Experience building end-to-end test suites for web apps
                                                  • +
                                                  • Strong cross-team communication and collaboration skills
                                                  • +
                                                  • A desire to work as a team player and see teammates succeed together
                                                  • +
                                                +
                                                +

                                                Nice to haves, but not mandatory requirements:

                                                +
                                                    +
                                                  • Experience with visual testing tools like Happo
                                                  • +
                                                  • Experience with performance, load, or stress testing of applications
                                                  • +
                                                  • Experience with security and privacy testing
                                                  • +
                                                +
                                                +

                                                Our benefits and perks:

                                                +
                                                    +
                                                  • A compensation package that includes equity options in the company
                                                  • +
                                                  • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                  • +
                                                  • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                  • +
                                                  • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                  • +
                                                  • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                  • +
                                                  • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                  • +
                                                  • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                  • +
                                                  • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                  • +
                                                  • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                  • +
                                                  • A great benefits package: Including health and dental
                                                  • +
                                                +
                                                +
                                                Here at BenchSci, these are our core values:
                                                +

                                                +
                                                +Focused: We focus on what will drive the greatest impact at all times.
                                                +
                                                +Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                                +
                                                +Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                                +
                                                +Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                                +
                                                +Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                                +

                                                +
                                                Diversity, Equity and Inclusion:
                                                +
                                                BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                                +

                                                +
                                                Accessibility Accommodations:
                                                +
                                                BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                +
                                                ",,https://jobs.lever.co/benchsci/2c56a418-acd8-47fd-a8d0-24ff79a3880d?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-02-17T15:56:48.389Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/47299516-senior-software-engineer-in-test-at-benchsci,https://jobs.lever.co/benchsci/2c56a418-acd8-47fd-a8d0-24ff79a3880d,expired,2021-01-15T07:16:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +22dda514-fce6-4a5b-bdb0-a24ae5c8691c,47525354,Clearpath,Autonomy Engineer - Perception,on_site,"Kitchener, Ontario",2021-01-16T07:16:48.237Z,"

                                                Description

                                                +

                                                Position: Autonomy Engineer - Perception
                                                Location: Kitchener, Ontario
                                                Experience: 1-5 Years of Relevant Work Experience
                                                Education: Graduate Degree in Related Field
                                                Division: OTTO Motors

                                                +

                                                About Us

                                                +

                                                Clearpath provides self-driving vehicle technology and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO Motors.

                                                +

                                                We employ a diverse and highly talented team who live and breathe robotics. We believe that work must have a high “cool” factor and every day should bring new knowledge. We need more passionate people on our team who are willing and able to push the boundaries of robotics into focused and practical applications.

                                                +

                                                Clearpath is automating the world and we need your help. Got what it takes?

                                                +

                                                About the Job

                                                +

                                                Our industrial solutions team is in high demand finding new ways to automate away our clients' problems, and we have more point clouds to process, networks to learn, and states to estimate than ever. We need more people on our team to bring the state of the art to practical applications. Clearpath, our partner companies, and our clients are making tremendous advances in robotics, and we want you to be a part of it!

                                                +

                                                You will stay on top of recent developments in SLAM, computer vision, perception algorithms, and sensing technology. You should be familiar with common open-source middleware and libraries like ROS, OpenCV, Gazebo, and PCL, because Clearpath's development team relies on these on a daily basis. You may be responsible for contributing back to these libraries. You'll work to evaluate and implement the state of the art in perception algorithms in a wide variety of practical applications for clients who we're not permitted to name in this very public job description. Additionally, you'll spend time improving our research products by building new demos and attending conferences. You'll likely spend warm summer days driving robots around outside (cold winters too; this is Canada after all).

                                                +

                                                Your primary responsibilities will be:

                                                  -
                                                • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                • -
                                                • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                • -
                                                • Reviews, evaluates, and derives requirements for testability.
                                                • -
                                                • Designs, develops, executes, and maintains testing strategies and plans to ensure stability and efficiency, enabling a seamless customer experience.
                                                • -
                                                • Executes and verifies test cases as part of the overall functional testing of Information Technology products as well as reporting defects and test results to the stakeholders.
                                                • -
                                                • Recommends approaches to streamline and integrate technological processes and systems in the organization to improve overall efficiency and improve the bank.
                                                • -
                                                • Ensures the accuracy and consistency of test results through documentation processes. Follows BMO’s SDLC process.
                                                • -
                                                • Communicates the overall quality of a deliverable and ensures metrics are used to drive delivery and identify any areas of concern.
                                                • -
                                                • Participates in programs/projects across the enterprise.
                                                • -
                                                • Participates as an active stakeholder in every initiative, driving quality based on fact-based metrics.
                                                • -
                                                • Ensures development teams’ unit testing practices are in place and confirms core criteria met prior to integrated testing delivery.
                                                • -
                                                • Proactively provides improvement opportunities to the team to enhance the customer experience.
                                                • -
                                                • Drives the testing automation capabilities.
                                                • -
                                                • Identifies opportunities to strengthen the quality assurance capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                                • -
                                                • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                • -
                                                • Focus may be on a business/group.
                                                • -
                                                • Thinks creatively and proposes new solutions.
                                                • -
                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                • -
                                                • Works mostly independently.
                                                • -
                                                • Broader work or accountabilities may be assigned as needed.



                                                  Qualifications:

                                                  -
                                                • -
                                                • As a full-time employee, we would require 1-2 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                • -
                                                • Knowledge of the SDLC, testing concepts, methodologies, metrics, automated testing frameworks and BMO documentation standards.
                                                • -
                                                • Understanding of BMO applications and infrastructure components.
                                                • -
                                                • Problem solving skills including the ability to troubleshoot and identify problem areas throughout testing.
                                                • -
                                                • Collaborate well with others. Ability to translate technical concepts into easy to understand terms.
                                                • -
                                                • Able to analyze data and use testing metrics to highlight improvement opportunities.
                                                • -
                                                • Specialized knowledge from education and/or business experience.
                                                • -
                                                • Verbal & written communication skills - In-depth.
                                                • -
                                                • Collaboration & team skills - In-depth.
                                                • -
                                                • Analytical and problem solving skills - In-depth.
                                                • -
                                                • Influence skills - In-depth.
                                                • +
                                                • Create robust innovative solutions to the problems of robotic perception
                                                • +
                                                • Development of custom SLAM, computer vision, machine learning, target tracking, and perception algorithms
                                                • +
                                                • Evaluation of new algorithms and sensing technology
                                                • +
                                                • Assisting with concept development for new products and projects
                                                • +
                                                • Design and architect new perception systems and algorithms
                                                -

                                                -

                                                -

                                                We’re here to help

                                                -

                                                -

                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                -

                                                -

                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                -

                                                -

                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                -

                                                -

                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                ",,https://jobs.bmo.com/ca/en/job/R210010189/Data-Analysts-Data-Scientists-Fall-2021-Co-op-Internship-4-Months,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-06-06T17:36:00.000Z,True,0,14,133,https://talenthub.vectorinstitute.ai/jobs/61831819-data-analysts-data-scientists-fall-2021-co-op-internship-4-months-at-bmo-financial-group,,expired,2021-05-07T17:36:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -9bf8d17d-4c2f-4d70-8c49-cf6f3fdb70fb,61832286,BMO Financial Group,Senior Data Analyst,on_site,"Toronto, ON, Canada",2021-05-07T17:38:04.223Z,"

                                                Address:

                                                -

                                                120 Bloor Street East

                                                -

                                                -

                                                -

                                                Job Family Group:

                                                -

                                                Technology

                                                -

                                                -

                                                -

                                                -

                                                -

                                                Job Description

                                                -

                                                The role of Senior Data Analyst with Finance Technology is to work with both business and technology stakeholders on the transformation of the banks legacy systems to the new ledger system

                                                -

                                                The Senior Data Analyst with Finance Technology will focus mainly on analyzing financial data in relationship to understanding on how it is applies to the banks legacy general ledger systems and the new general ledger system. The individual will be accountable for presenting findings, developing solutions and recommendation to the stakeholders on how the data is maps from legacy to new general ledger systems.

                                                -

                                                As part of the analysis work, the individual will also look to initiative prioritization, data aggregation, data cleansing, data enrichment, data consumption, data visualization and cultivate a leading practice relating to data & analytics. The role advances the organization’s ability to identify and analyze complex business issues that are difficult to resolve without effective data management, analytics, modeling, and reporting.

                                                -

                                                -

                                                Responsibilities

                                                +

                                                Additional tasks may include:

                                                  -
                                                • Leverage the existing tools, processes and best practices associated with application packaging such that documented user requirements are satisfied while adhering to BMO technical standards
                                                • -
                                                • Analyzing and interpret data to be able to provide updates to stakeholders
                                                • -
                                                • Providing requirements for our technology partners
                                                • -
                                                • Continuously optimizing existing processes
                                                • -
                                                • Focus is primarily on financial business/group within BMO; may include broader enterprise-wide focus
                                                • -
                                                • Act as a subject matter expert on GL data sources, systems and reporting options.
                                                • -
                                                • Consult with colleagues and business partners to understand goals and objectives to influence analysis, quantification, forecasting, and/or data visualization strategies
                                                • -
                                                • Works with stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs
                                                • -
                                                • Recommend strategies that align with business needs that enable fact based analysis and participate in the creation of consumption strategies
                                                • -
                                                • Build, develop and maintain effective relationships with stakeholders
                                                • -
                                                • Lead our technology partners in required changes
                                                • +
                                                • Collaboration with other teams including controls and navigation planning
                                                • +
                                                • Triage and support of live industrial systems in the field
                                                • +
                                                • Mentoring and assisting with the supervision of interns
                                                • +
                                                • Open-source contributions to the ROS/PCL/Gazebo community
                                                • +
                                                • Attending tradeshows and conferences
                                                -

                                                -

                                                Skills

                                                +

                                                About You

                                                +

                                                You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some form of higher education with the common sense to back it up.

                                                +

                                                Required Skills:

                                                  -
                                                • Have strong banking financial knowledge
                                                • -
                                                • Have accounting knowledge
                                                • -
                                                • Well versed in SQL to create complex queries to pull data from various sources
                                                • -
                                                • Excel knowledge and use of macros
                                                • -
                                                • Understanding of SDLC
                                                • -
                                                • Understanding of Quality Assurance (use of HP ALM)
                                                • -
                                                • Understanding agile/waterfall methodology
                                                • -
                                                • Can work as independent worker or in a team
                                                • -
                                                • Be adaptable and can work in ambiguous environment
                                                • -
                                                • Build strong working relationships internally and externally
                                                • -
                                                • Possesses good communication, facilitation and people skills
                                                • -
                                                • Understanding hierarchy data
                                                • -
                                                • Anticipates and reduces complexity for others.
                                                • -
                                                • Conducts independent analysis and assessment to resolve strategic issues
                                                • -
                                                • Ability to work independently individually and in groups
                                                • -
                                                • Excellent quantitative and analytical skills
                                                • -
                                                • Strong problem solving, critical thinking, written and verbal communication skills
                                                • -
                                                • Organizational skills, possesses data analytical and data management skills with the ability to collect, organize, analyze, correlate, cleanse and disseminate significant amounts of raw data into meaningful information with attention to detail and accuracy.
                                                • -
                                                -

                                                -

                                                Nice to have

                                                -
                                                • Worked with database Hadoop and Netezza
                                                -

                                                -

                                                Qualifications:

                                                -
                                                  -
                                                • 5+ years of experience as data analyst/business analyst
                                                • -
                                                • Bachelors in Computer Science or equivalent
                                                • -
                                                • Extensive use of analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                                • -
                                                • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                                • -
                                                • Experience with modern data science and analytics tools is a requirement (e.g., SQL, Hadoop, Netezza, Aginity, DBVisualizer, Spotfire, etc.)
                                                • -
                                                • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                                • -
                                                • Demonstrates writing and documentation skills.
                                                • -
                                                • Understands and can explain to others the core processes involved in their area of support.
                                                • -
                                                • Technical proficiency gained through education and/or business experience.
                                                • -
                                                • Verbal & written communication skills - In-depth
                                                • -
                                                -

                                                -

                                                -

                                                We’re here to help

                                                -

                                                -

                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                -

                                                -

                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                -

                                                -

                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                -

                                                -

                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                ",,https://jobs.bmo.com/ca/en/job/R210009031/Senior-Data-Analyst,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-06-06T17:38:06.450Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/61832286-senior-data-analyst-at-bmo-financial-group,,expired,2021-05-07T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -cc55aa47-e473-45e0-9eac-60b3d9195c72,61833075,Google,"Research Intern, Bachelors, Fall 2021",on_site,"Toronto, ON, Canada",2021-05-07T17:43:15.379Z,"

                                                -

                                                Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                -

                                                Please complete your application before July 30, 2021.

                                                -

                                                This internship is intended for students who are pursuing a Bachelor's degree with an anticipated graduation date on or after December 2021, depending on their program and unique circumstances.

                                                -

                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                -
                                                  -
                                                1. In the “Resume"" section, attach an updated CV or resume. Ensure any proficiency in coding languages are listed on resume.
                                                2. -
                                                3. In the “Higher education"" section, fill out the fields accordingly and select “Now attending” under ""Degree status"". Then, upload a current or recent unofficial or official transcript in English.
                                                4. -
                                                -


                                                Note: By applying to this position you will have an opportunity to share your preferred working location for this position from the following: Montreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada

                                                -

                                                -

                                                Qualifications

                                                -

                                                Minimum qualifications:

                                                -
                                                  -
                                                • Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences or a related technical field.
                                                • -
                                                • Experience in one area of computer science, e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar.
                                                • +
                                                • Graduate degree in engineering/CS or a related field, with applicable background
                                                • +
                                                • Practical and theoretical knowledge of state estimation, computer vision, perception, and SLAM techniques
                                                • +
                                                • Strong software development skills (C++ and Python)
                                                • +
                                                • Proficiency with Linux
                                                • +
                                                • Excellent teamwork/communication skills
                                                • +
                                                • Ability to independently develop software development plans, including timelines and test procedures
                                                • +
                                                • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                                -

                                                Preferred qualifications:

                                                +

                                                Bonus points for:

                                                  -
                                                • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                • -
                                                • Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB, Go, Python, or similar.
                                                • -
                                                • Relevant experience as a researcher, including internships, full-time, or at a lab.
                                                • -
                                                • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
                                                • -
                                                • Ability to speak and write in English fluently and idiomatically.
                                                • -
                                                • Ability to design and execute a research agenda.
                                                • +
                                                • ROS, TensorFlow, Gazebo, and PCL experience
                                                • +
                                                • Familiarity with graph optimization techniques and libraries
                                                • +
                                                • Experience writing efficient, high-performance code
                                                • +
                                                • Hands-on experience with autonomous systems
                                                • +
                                                • Ability to diagnose broken robots by their sounds and smells
                                                • +
                                                • Experience with git/other DVCS systems and other software development processes
                                                • +
                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                -

                                                About the job

                                                -

                                                Join us for a 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                -

                                                Research Interns aren't cloistered in the lab, but instead they work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects, as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Interns and Software Engineers work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more. As a Research Intern, you will work on a specific project critical to Google’s needs. You might also stay connected to your research roots as a contributor to the wider research community by publishing papers.

                                                -

                                                There is always more information out there, and our research teams have a quest to find new ways to make it accessible and useful. We're constantly refining our signature search engine to provide better results, expanding the scope and utility of our data-analytics systems, enhancing our Cloud applications and infrastructure, among a broad range of other Google products.

                                                -

                                                Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                -

                                                Responsibilities

                                                -
                                                • Participate in cutting-edge research to develop solutions for real-world, large-scale problems.
                                                -

                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

                                                -

                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                ",,"https://careers.google.com/jobs/results/114613277775798982-research-intern-bachelors-fall-2021/?location=Toronto,%20Canada&q=data",aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-06-06T17:43:17.355Z,False,0,23,112,https://talenthub.vectorinstitute.ai/jobs/61833075-research-intern-bachelors-fall-2021-at-google,,expired,2021-05-07T17:43:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, -cd2655a6-90f2-49dd-9ac2-580ce8ff911e,61851059,Deloitte,"Machine Learning Operations (ML Ops) Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-07T19:44:06.526Z,"
                                                -

                                                Job Type: Permanent
                                                Primary Location: Toronto, Ontario, Canada
                                                All Available Locations: Toronto; Ottawa; Vancouver

                                                -

                                                Be encouraged to deepen your technical skills…whatever those may be

                                                -

                                                Learn from deep subject matter experts through mentoring and on the job coaching

                                                -

                                                Be empowered to lead and have impact with clients, our communities and in the office

                                                -
                                                -
                                                -
                                                -

                                                -

                                                Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                -
                                                -
                                                -
                                                -

                                                What will your typical day look like?

                                                -

                                                -
                                                -

                                                As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                                                -
                                                -
                                                -
                                                -

                                                About the team

                                                +


                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                ",,http://jobs.jobvite.com/clearpath/job/oSd9efwc,feed-importer@jobboard.io,,,,2021-03-24T14:55:44.737Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/47525354-autonomy-engineer-perception-at-clearpath,http://jobs.jobvite.com/clearpath/job/oSd9efwc,expired,2021-01-16T07:16:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Bachelors Degree,Re-Posting an Expired Job, +ebd637b5-2b16-4e86-b1f8-2ac1a82692ab,47794560,Scotiabank,Velocity Tech Program - Data Science Summer 2021,on_site,Canada : Ontario : Toronto,2021-01-18T07:19:07.955Z,"

                                                -
                                                -

                                                Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                -
                                                -
                                                -
                                                -

                                                Enough about us, let’s talk about you

                                                -
                                                -
                                                -

                                                You are someone with:

                                                -
                                                • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                                                • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
                                                • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
                                                • Strong experience in Python used both for ML and automation tasks.
                                                • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                                                • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                • Strong oral and written communication skills
                                                • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                                                • Experience with Azure or AWS platforms is an asset
                                                • Project management experience is an asset
                                                • Professional services, consulting, or advisory experience is an asset
                                                • -
                                                -
                                                -
                                                -
                                                -

                                                Why Deloitte?

                                                -

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                -
                                                • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                • -
                                                -


                                                The next step is yours

                                                -

                                                Sound like The One Firm. For You?

                                                -

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                -

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,feed-importer@jobboard.io,,,,2021-06-09T21:02:55.734Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/61851059-machine-learning-operations-ml-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,expired,2021-05-07T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2399dbcd-392a-4310-b955-da6f78314413,62137117,Deloitte,"Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-08T19:44:05.040Z,"
                                                -

                                                Job Type: Permanent
                                                Primary Location: Toronto, Ontario, Canada
                                                All Available Locations: Vancouver; Montreal; Ottawa; Toronto

                                                -

                                                Learn from deep subject matter experts through mentoring and on the job coaching
                                                Partner with clients to solve their most complex problems
                                                Be empowered to lead and have impact with clients, our communities and in the office.

                                                -
                                                -
                                                -
                                                -

                                                -

                                                You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                -
                                                -
                                                -
                                                -

                                                What will your typical day look like?

                                                -
                                                -
                                                -

                                                As a Data Engineer on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including ETL, data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                                -

                                                Specifically, in this role, you will:

                                                -
                                                • Engineer and architect ETL and BI/DW solutions to enable business analytics and drive insights
                                                • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                                • -
                                                -
                                                -
                                                -
                                                -
                                                -

                                                About the team

                                                +

                                                Requisition ID: 94696

                                                -
                                                -
                                                -

                                                Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                -

                                                Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                -
                                                -
                                                -
                                                -
                                                -

                                                Enough about us, let’s talk about you

                                                +

                                                Join the Global Community of Scotiabankers to help customers become better off.

                                                -
                                                -
                                                -

                                                You are someone with:

                                                -
                                                • 3+ years experience with analysis, design, development, testing and deployment of ETL services in relational data warehouse environments on DB2, Oracle, SQL Server and/or SAP/HANA using technologies such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS and/or Talend for batch and/or real-time data processing
                                                • 3+ years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                                • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                                • Experience with Agile development methods in data-oriented projects
                                                • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired
                                                • +
                                                  +

                                                  VELOCITY TECH- Data Science

                                                  4-Month Internship (May-August 2021)

                                                  +

                                                  WORK TERM: 4-month Summer 2021 term (May - August)

                                                  +

                                                  +

                                                  +

                                                  What Can I Expect from the Velocity Technology Development Program?

                                                  +


                                                  This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity, you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different parts of our technology ecosystem.

                                                  +

                                                  +

                                                  Who are we looking for?

                                                  +

                                                  +
                                                  • Do you like messy, unstructured data?
                                                  • Does the idea of creating order out of chaos excite you?
                                                  • Do you watch movies with AI and think you can totally build that?
                                                  • Do you obsess over the next best model which can predict things better than before?
                                                  • Have you built an analytics model in your computer and/or have a personal cloud cluster?
                                                  • Do hackathons excite you?
                                                  -

                                                  If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                  -

                                                  The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                  -
                                                -
                                                -
                                                -

                                                Why Deloitte?

                                                -

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                -
                                                • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                • +

                                                  +

                                                  If you answered yes to any of the above questions, we are looking for you!

                                                  +

                                                  +
                                                  • You will work closely with a team of Data Scientist who are re-inventing banking in a self-starting environment
                                                  • You are open, persuasive, engaging, and love to have a good laugh – you also know when it’s important to get serious and get stuff done
                                                  -


                                                  The next step is yours

                                                  -

                                                  Sound like The One Firm. For You?

                                                  -

                                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                  -

                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,feed-importer@jobboard.io,,,,2021-06-09T21:02:29.857Z,False,0,4,37,https://talenthub.vectorinstitute.ai/jobs/62137117-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,expired,2021-05-08T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -204813de-089f-4602-aae9-366b071734f8,33295701,Darwin AI,Full-Stack Developer,on_site,"Waterloo, ON, Canada",2020-04-13T17:31:05.791Z,"

                                                WHO WE ARE LOOKING FOR

                                                -

                                                -

                                                Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                -

                                                -

                                                REQUIREMENTS

                                                -

                                                -

                                                Our ideal candidate possesses:

                                                Must-have

                                                -
                                                  -
                                                • Min 3 years of web development experience.
                                                • -
                                                • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                • -
                                                • Must have worked with reactive development.
                                                • -
                                                -


                                                Preferable:

                                                -
                                                  -
                                                • SQL
                                                • -
                                                • Data Visualization frameworks like D3, C3 etc
                                                • -
                                                • Basic knowledge of AWS
                                                • -
                                                • Agile development methodology.
                                                • -
                                                ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-05-14T14:10:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/33295701-full-stack-developer-at-darwin-ai,,expired,2020-04-13T17:31:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -6a6df2a1-eb09-4696-aa3f-9edeaffcca14,33467668,Borealis AI,Infrastructure Engineer,on_site,"Toronto, ON, Canada",2020-04-17T22:34:44.740Z,"

                                                What's the opportunity?

                                                -

                                                We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                -

                                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                -

                                                Your responsibilities include:

                                                -
                                                  -
                                                • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;
                                                • -
                                                • Designing, building, and optimizing comprehensive automation systems that operate the business’s web, mobile and data infrastructure platforms;
                                                • -
                                                • Deploying and managing cloud services on AWS, Azure, etc.;
                                                • -
                                                • Leveraging modern tools to define, build, and manage virtual infrastructure in the cloud (primarily on AWS);
                                                • -
                                                • Configuring automated service deployments with tools such as Ansible, Puppet, Chef or similar;
                                                • -
                                                • Collaborating with engineers, and machine learning researchers to consolidate ML frameworks and to automate code analysis, build, and integration.
                                                • -
                                                -

                                                You're our ideal candidate if you have:

                                                -
                                                  -
                                                • Strong and relevant experience designing and implementing distributed systems;
                                                • -
                                                • Hands-on experience building and deploying virtualized environments in major cloud environments, such as AWS and Azure;
                                                • -
                                                • Solid understanding of the UNIX operating system;
                                                • -
                                                • Proficiency with scripting languages, such as Bash, Python, or JavaScript;
                                                • -
                                                • Experience automating infrastructure, testing, and deploying cloud applications with tools such as Ansible, Jenkins, etc.;
                                                • -
                                                • Experience with monitoring and alerting solutions, like ELK stack and CloudWatch;
                                                • -
                                                • Experience on Jenkins, including setting up Jenkins pipelines to enable CI/CD.
                                                • -
                                                -

                                                It would be great if you also have:

                                                -
                                                  -
                                                • Production software development experience;
                                                • -
                                                • Development, deployment, or maintenance of machine learning applications;
                                                • -
                                                • Implementing monitoring solutions to identify and implement system bottlenecks and production issues;
                                                • -
                                                • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                • -
                                                -

                                                What's in it for you?

                                                -
                                                  -
                                                • Become part of a team that thinks progessively and works collaboratively. We care about seeing each other reach full potential;
                                                • -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                • -
                                                • Leaders who support your development through coaching and managing opportunities;
                                                • -
                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                • -
                                                -

                                                How to apply:

                                                -

                                                Please email your resume to mi.research@rbc.com and include where you heard about this opportunity.

                                                -

                                                About Borealis AI

                                                -

                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                ",mi.research@rbc.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2020-05-20T12:41:00.000Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/33467668-infrastructure-engineer-at-borealis-ai,,expired,2020-04-17T22:34:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,New Posting, -55a911e4-11cc-4a00-87bb-bad6bcf85b96,33467670,Borealis AI,Machine Learning Software Developer,on_site,"Toronto, ON, Canada",2020-04-17T22:45:37.810Z,"

                                                What’s the opportunity?

                                                -

                                                Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Developer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                -

                                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                -

                                                Your responsibilities include:

                                                -
                                                  -
                                                • Building machine learning-based software solutions for solving important problems;
                                                • -
                                                • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                • -
                                                • Collaborating with research and business teams to converge on the best solutions;
                                                • -
                                                • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                • -
                                                • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                • -
                                                • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                • -
                                                • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                • -
                                                -

                                                You’re our ideal candidate if you:

                                                +

                                                +

                                                Key Accountabilities:

                                                +
                                                • Ingest, clean, and prepare data for analysis
                                                • Create and apply models and algorithms that address an innovation opportunity
                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                • Present results to stakeholders and help implement real data-driven changes
                                                • Experiment & learn!
                                                • +
                                                +

                                                +

                                                Qualifications:

                                                +
                                                • Currently enrolled in a Computer Science, Electrical/Computer/Software Engineering, or Mathematics/Stats program
                                                • Hands-on experience playing around with data and modelling to generate insights
                                                • Programming skills in Java, C++, or Python
                                                • Some experience with common machine learning libraries in R, Python, Spark
                                                • Experience with UNIX tools and shell scripting
                                                • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                • Experience using and implementing visualization tools like D3, Tableau or ClickView
                                                • Comfortable working in a self-guided manner and in a small team
                                                • Comfortable working within tight timeframes
                                                • Knowledge of Agile principles and values a plus
                                                • +
                                                +

                                                +

                                                How do I apply?

                                                +

                                                For students, we believe in evaluating you through relationships over resumes, and are focused on learning about who you are and what you're interested in to uncover your true potential. In short, we don't believe resumes will provide us with an accurate depiction of what you're truly about in order to properly assess your potential. Instead, we want to get to know you and hear about the experiences that have shaped you. We know... this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the below:

                                                +

                                                +
                                                1. Complete your PLUM profile: CLICK HERE
                                                2. Complete a short one-way video interview: CLICK HERE
                                                3. Apply to the role through out career site.
                                                4. Upload a PDF of your PLUM profile and any Githubs or Websites
                                                5. +
                                                +

                                                +

                                                We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank is committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                +

                                                +

                                                **In order to be considered for the program you must submit your PLUM Assessment and Video Interview by no later than January 31st. **

                                                +

                                                +

                                                Location(s): Canada : Ontario : Toronto

                                                +

                                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Tech-Program-Data-Science-Summer-2021-ON/544231917/,feed-importer@jobboard.io,,,,2021-02-04T14:59:50.896Z,False,0,13,118,https://talenthub.vectorinstitute.ai/jobs/47794560-velocity-tech-program-data-science-summer-2021-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Tech-Program-Data-Science-Summer-2021-ON/544231917/,expired,2021-01-18T07:19:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +6a9966fd-82ef-49de-90c5-92501450ab77,47794799,RBC,"Data Analyst, Summer 2021 Student Opportunities (8 Months Only)",full,"Virtual, Ontario, Canada",2021-01-18T07:21:18.257Z,"
                                                +

                                                What is the opportunity?
                                                Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                                  -
                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                • -
                                                • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                • -
                                                • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                • -
                                                • Familiarity with the Unix command line and bash scripting;
                                                • -
                                                • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                • -
                                                • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                • -
                                                • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                • -
                                                • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                • +
                                                • Innovation & Technology
                                                • +
                                                • Global Technology Infrastructure
                                                • +
                                                • Enterprise Operations Payments
                                                -

                                                What's in it for you?

                                                +

                                                +

                                                Please only apply if you are available for 8 months.

                                                +

                                                +

                                                What will you do?

                                                  -
                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                • -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                • -
                                                • Leaders who support your development through coaching and managing opportunities;
                                                • -
                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                • +
                                                • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                                • +
                                                • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                                • +
                                                • Confirm that projects adhere to development standards and guidelines
                                                • +
                                                • Apply data warehouse concepts and methodologies to various projects
                                                -

                                                About Borealis AI

                                                -

                                                Borealis AI, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Edmonton, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-05-20T12:41:00.000Z,False,7,0,49,https://talenthub.vectorinstitute.ai/jobs/33467670-machine-learning-software-developer-at-borealis-ai,,expired,2020-04-17T22:45:00.000Z,employer-repost,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, -a39aae98-1b61-448a-a8cc-38de9efc325f,33624523,Shopify Inc.,"Data Science Intern - Fall 2020 (Toronto, Ottawa, Waterloo)",on_site,"Toronto, ON, Canada",2020-04-22T14:18:37.163Z,"

                                                Our Data Scientists come from diverse backgrounds: computer science, business, economics, and physics to name a few! We are solving diverse problems in the business and appreciate diverse perspectives. Our product direction is data driven and we’re all working toward one common goal: make commerce better for everyone.

                                                The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of retail data to work to make our merchants more successful. You’ll make an impact on delivering merchandising insights, optimizing shipping and processing rates, reducing credit card fraud, ad campaign recommendations, and more!

                                                As someone who thrives in a rapidly changing environment, you will develop a deep understanding of our data, tools, and processes by measuring key metrics, promoting new analytical techniques and questioning assumptions. You love to tell the story behind the numbers, and will clean, model, and analyze a wide variety of data sources. Though we do AI/ML work at Shopify, a data science internship generally won't focus on these areas.

                                                -

                                                -

                                                You’ll be working on things like:

                                                -
                                                    -
                                                  • Building data products and models that power Shopify’s intelligence
                                                  • -
                                                  • Helping people make well-informed decisions
                                                  • -
                                                  • Receiving mentorship and infinite opportunities to learn and grow
                                                  • -
                                                  • Using TDD to write well-tested code
                                                  • -
                                                  • Contributing to the open source community
                                                  • -
                                                -

                                                You're the kind of person who:

                                                -
                                                    -
                                                  • Loves investigating and solving mysteries
                                                  • -
                                                  • Is a constant learner
                                                  • -
                                                  • Enjoys research and figuring out how pieces of an entire project work
                                                  • -
                                                  • Takes pride in creating simple solutions to complex problems
                                                  • -
                                                  • Is a strong communicator and enjoys interacting with multiple parts of the business
                                                  • -
                                                  • Thrives in a fast, dynamic and constantly changing environment
                                                  • -
                                                  • Has a practical handling of at least one scripting language -- Python is a plus!
                                                  • -
                                                -

                                                Life At Shopify
                                                Interns at Shopify are fully integrated with their teams and the things you will work on are thoughtfully considered. If your team is working through a tough problem, so are you. If they are travelling to another city, you’ll be joining. There won’t be any latte fetching, there are no “intern projects” and you’ll have access to a wide range of perks based on your individual interests.
                                                Mentorship will be available to you and you’ll join 5000+ exceptionally bright people who are serious about personal growth and learning. We build products that support all kinds of entrepreneurs - from the one-product independent business owner to rapidly scaling brands like Kylie Cosmetics. We’re also the platform for those that haven’t taken the first step toward getting started yet, and we try to level the playing field for anyone with a great idea to start and grow their business.
                                                High trust and flexibility have always been a part of our culture, and if you’re expecting to be told exactly what to do, Shopify may not be the place for you. We don’t claim to have all the answers, and that’s why we look for independent thinkers, collaborators, and people hungry to grow alongside their team. Find out more about our past interns experiences and learn more about how we approach mentorship at Shopify.

                                                -

                                                Shopify internships are 4 and 8 month paid terms, and are open to students, co-ops, recent graduates and those early on in their development careers. The 4-month Fall Internship will run September 8th - December 18th 2020, and the 8-month Fall/Winter Internship will run September 8th - April 23rd 2020.

                                                -


                                                The posting will close Tuesday May 12t at 9:00am EST and applications will not be accepted after this date. Applications will be reviewed and interviews will be conducted on a rolling basis starting Thursday May 21st

                                                -


                                                1. Include your resume.
                                                2. We're always looking to see where passion and engagement shows itself in all aspects of your life. Please answer the 2 questions outlined in the application to tell us why you want to join Shopify and work in Data Science.

                                                -

                                                If you have projects or work you want to share, include your GitHub link below!
                                                Experience comes in many forms, many skills are transferable, and passion goes a long way. If your experience is close to what we’re looking for, consider applying. We know that diversity of thought makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

                                                -

                                                The Hiring Process
                                                1. Candidates that move beyond the initial application stage will be invited to a “Life Story” interview with a Recruiter on the Intern Program team. The intention of the Life Story interview is to construct your own personal timeline, including decisions you’ve made, what you’re passionate about, and the path you’ve taken to bring you to where you are today.

                                                -

                                                2. After the Life Story, successful candidates will be invited to a 60 minute technical interview with 2 Shopify developers. You will be informed in advance of the interview of what you need to bring. Generally, we ask that candidates bring a project with them they can present to our interviewers, specifically something that includes code they have written personally (ideally not a group project). In the event that candidates don’t have a project, then we ask that they complete a coding challenge before the technical interview. The second half of the interview is a collaborative problem solving exercise with our developers.

                                                -

                                                3. After the technical interview, successful candidates are placed on teams based on their interests, skills and experience. Each placement is done individually and with significant consideration.
                                                *Timelines of decision-making will be clearly communicated to candidates by their Recruiter throughout the process and you will always hear back from us #noghosting. If you haven't received an update from us after the posting closes, check your junk mail!

                                                -

                                                **If you are in the University of Waterloo co-op program you must apply through Waterloo Works. If you do not apply through Waterloo Works, it is your responsibility to contact your co-op rep to have this posting added to your profile.

                                                -

                                                At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                ",,https://jobs.lever.co/shopify/6ff515e3-e4e8-4d02-8e7c-a3138de4c31b?lever-origin=applied&lever-source%5B%5D=Vector%20Institute,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2020-05-12T14:20:00.000Z,True,0,61,250,https://talenthub.vectorinstitute.ai/jobs/33624523-data-science-intern-fall-2020-toronto-ottawa-waterloo-at-shopify-inc,,expired,2020-04-22T14:18:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -190e8c0a-3723-45f8-b125-ac30a6ad3d85,33650412,Vector Institute,"Manager, Research Computing",on_site,"Toronto, ON, Canada",2020-04-23T18:59:08.716Z,"

                                                POSITION SUMMARY

                                                -

                                                The Vector Institute is seeking a Manager, Research Computing to join our growing team in Toronto as we continue the work of making Canada a center of expertise for AI in the world.

                                                -

                                                -

                                                The Manager, Research Computing will build and coach a highly-skilled team who will develop and maintain tools that support transparent growth and appropriate resource sharing policies.

                                                -

                                                -

                                                The incumbent will play a key role in the building and future maintenance of an artificial intelligence high-performance computing environment for world class research in machine learning. This role will primarily support scientific computing needs such as library support, compiling, and hardware and software evolution.

                                                -

                                                -

                                                This leadership position is expected to have a hands-on, problem-solving approach to managing and troubleshooting environments and a proven track record of integrating best-in-class software systems in budget and on time.

                                                -

                                                -

                                                RESPONSIBILITIES

                                                +

                                                +

                                                What do you need to succeed?

                                                +

                                                Must-have

                                                  -
                                                • Along with members of Vector’s senior management team, build, develop, and manage a team of information technology support personnel to execute Vector’s scientific computing objectives;
                                                • -
                                                • Oversee the planning, general execution and maintenance of complex computing arrangements, equipment and appropriate technical support necessary for research in deep learning, machine learning, and applied artificial intelligence research;
                                                • -
                                                • Develop, operate, and maintain Vector’s scientific computing needs in accordance with Vector’s policies;
                                                • -
                                                • Provide advice to Vector’s senior management team and serve as an expert point of contact within Vector on computing equipment and information technology;
                                                • -
                                                • Work with the senior management team to advise on the communication of corporate strategy and reporting requirements in respect to computing equipment and information technology, including public reporting;
                                                • -
                                                • Manage Vector’s computing equipment and information technology requirements within budget;
                                                • -
                                                • Support researchers in all their computing needs; and
                                                • -
                                                • Assist in general enterprise IT operations as required.
                                                • +
                                                • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                • +
                                                • Leadership acumen and a passion to apply it in a dynamic business environment
                                                • +
                                                • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                • +
                                                • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                • +
                                                • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                • +
                                                • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                -

                                                SUCCESS MEASURES

                                                +

                                                +

                                                Nice-to-have

                                                  -
                                                • Ensures the smooth functioning of the research systems, by undertaking troubleshooting, maintenance and installation tasks.
                                                • -
                                                • Effectively manages and develops a team of scientific computing support personnel.
                                                • -
                                                • Researchers and the enterprise operations feel supported in all other computing needs.
                                                • -
                                                • Builds and maintains tools that facilitate the automated or direct administration of network and computing infrastructure, both locally and on the cloud.
                                                • +
                                                • Prior experience in data integration of disparate data sources
                                                • +
                                                • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                • +
                                                • Relational database concepts and design experience
                                                • +
                                                • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                -

                                                PROFILE OF THE IDEAL CANDIDATE

                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                • Graduate degree in computer science, engineering or another relevant field preferred
                                                • -
                                                • 3-5 years of managerial experience in a fast-paced, innovative environment
                                                • -
                                                • Experience in a systems administration or management role in a UNIX/Linux environment or complex computing environment
                                                • -
                                                • Demonstrated understanding of programming/scripting as it pertains to systems administration
                                                • -
                                                • Experience in managing and troubleshooting environments using mostly open-source software
                                                • -
                                                • Excellent verbal and written communication skills with the ability to lead technical discussions
                                                • -
                                                • Experience working within a research environment is considered an asset
                                                • -
                                                • Ability to work autonomously, prioritize, multi-task and problem solve in a fast-paced and dynamic environment
                                                • -
                                                • Effective conflict and dispute resolution skills
                                                • -
                                                • Ability to be proactive, addressing potential problems before they occur
                                                • -
                                                • Strong attention to detail
                                                • +
                                                • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                • +
                                                • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                • +
                                                • Leaders who support your development through coaching and learning opportunities
                                                • +
                                                • Work in a dynamic, collaborative, progressive and highly performing team
                                                • +
                                                • Ability to make a difference and lasting impact
                                                • +
                                                • Enjoy a comfortable work environment with the option to dress casually
                                                +

                                                +

                                                We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                +

                                                +

                                                While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                TAD2021

                                                +

                                                +

                                                +

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                JOB SUMMARY
                                                City: Virtual
                                                Address: Virtual
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: [[filter7]]
                                                Career Level: Student Job
                                                Application Deadline: 03/14/2021
                                                Platform: Technology and Operations

                                                Req ID: 295742
                                                Ad Code(s):

                                                +

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/295742/Data-Analyst-Summer-2021-Student-Opportunities-8-Months-Only,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-01-25T21:39:36.628Z,False,0,16,53,https://talenthub.vectorinstitute.ai/jobs/47794799-data-analyst-summer-2021-student-opportunities-8-months-only-at-rbc,https://jobs.rbc.com/ca/en/job/295742/Data-Analyst-Summer-2021-Student-Opportunities-8-Months-Only,expired,2021-01-18T07:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +34e55cec-3aae-423e-a1ce-61047c198207,47829049,Layer 6,Machine Learning Engineer – Backend ☑️,on_site,"Toronto, ON, Canada",2021-01-18T16:10:42.958Z,"

                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                +

                                                We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                -

                                                Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                -

                                                -

                                                The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                -

                                                -

                                                Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=49&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-05-23T19:41:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/33650412-manager-research-computing-at-vector-institute,,expired,2020-04-23T18:59:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Manager,Masters Degree,New Posting, -4ff30a07-dad6-4077-9145-78d67c0fd668,34172933,Manulife,Data Engineer,on_site,"Kitchener, ON, Canada",2020-05-04T17:46:20.691Z,"

                                                Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                -

                                                -

                                                Job Description

                                                -

                                                -

                                                We’re looking for someone who knows data: big data (but not necessarily “Big Data”), little data, clean data, messy data and all sorts of data in between. You’ve seen a little bit of everything and you enjoy working with it.

                                                -

                                                -

                                                That’s not to say this is an analytics role, though. We’re not looking primarily for someone with experience analyzing or modeling data (though that wouldn’t be a bad thing to bring to the table) as much as someone with experience moving it around, tidying it up and pulling it all together so that people can make use of it. We have data spread all over the place and in all sorts of different formats, and we want you to help us do something about that.

                                                -

                                                -

                                                Maybe you’ve worked as a Database Architect, a DBA, a Developer or an ETL Designer. In fact, bonus points to you if you’re able to check off more than one of those boxes. What’s most important, though, is that you’re willing and able to help us design, implement and populate data models that make it possible for us to get our most important data into a single location and into a consistent format. Come help us evolve in a data-driven powerhouse!

                                                +

                                                As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                                +

                                                Must-have:

                                                +

                                                – BSc+ in Computer Science or similar
                                                – 3+ years of programming experience
                                                – Proven experience in designing and delivering a complex web application
                                                – Experience as a key contributor and leader on projects
                                                – Strong experience in Java and its ecosystem
                                                – Passionate about creating maintainable and performant software
                                                – Strong desire to learn and solve problems

                                                +

                                                Nice to have

                                                +

                                                – Experience with databases such as Elasticsearch
                                                – Experience with microservice architecture
                                                – Familiarity with data analysis or machine learning
                                                – Experience with Docker and Kubernetes
                                                – Comfortable with math (linear algebra, calculus)

                                                ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-02-17T16:10:45.084Z,False,5,0,84,https://talenthub.vectorinstitute.ai/jobs/47829049-machine-learning-engineer-backend-at-layer-6,,expired,2021-01-18T16:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +4134c8f9-a460-4afc-9945-10bb37b7291f,47838905,Roche,"Coop Student, Data Sciences (8 month assignment)",on_site,"Mississauga, ON, Canada",2021-01-18T19:36:33.088Z,"

                                                Title: Co-op Student, Data Science (8 month Internship)

                                                +

                                                Division: Product Development Data Science

                                                +

                                                Location: Mississauga, ON

                                                -

                                                What Will I Be Doing?

                                                -
                                                  -
                                                • You will become a key part of the life cycle of our data
                                                • -
                                                • You will become a Manulife data expert; you will know where our data is, how it moves around and who is using it
                                                • -
                                                • You will help with (and eventually lead) the design, development and implementation of new data processes, models and flows
                                                • -
                                                • You will work with business partners and subject matter experts to understand the context of our data; not just how it’s structured, but how real people use it (or should not use it) to make informed decisions
                                                • -
                                                • You will soon know better than anyone what sorts of headaches the users of our data may have and will be instrumental in brainstorming solutions to help make their lives better
                                                • -
                                                • You will be involved in many different things: today you might be doing some quick coding to generate a bunch of sample data, tomorrow you might be building data flows in Apache NiFi, building stored procedures for an SQL Server database, participating in a Proof of Technology session or locked in a room with a small “tiger team” tasked with solving an issue that’s just flared up
                                                • -
                                                +

                                                Job Purpose:

                                                -

                                                Does that sound a little vague? Good, because life is a little vague and so are the best jobs. We can’t guarantee you’ll be using a specific set of tools or techniques day to day because this isn’t that kind of job. You’ll need to be self-motivated, resilient and comfortable with uncertainty. You’ll have to learn on your feet from time to time, and occasionally even teach others as you’re learning. No one is going to ask you to be an expert in something you’ve never done before, but you’ll need to be the kind of person who gets excited about becoming an expert in something they’ve never done before. Show us what you’re capable of and learn a lot along the way!

                                                +

                                                This role is an opportunity to work with Data Scientists in Biostatistics and Statistical Programmer Analysts (SPA) in providing high quality statistical expertise and programming to assigned Clinical Development studies. This is an opportunity to learn and contribute to many aspects of drug development where data scientists are involved. This includes strategic input to protocols, and study start up activities, developing study statistical programming solutions and supporting the analyses laid out in analysis plans. This internship allows candidates to familiarize themselves with the objectives and expectations set by both Biostatistics and Statistical Programming and Analysis (SPA) management.

                                                -

                                                Qualifications

                                                -

                                                This isn’t a junior role, so we’re looking for someone with at least 3-5 years of related work experience. You should have specific experience in some of these areas and the willingness to be trained (and to some extent train yourself) in any areas you’re lacking:

                                                +

                                                Job Accountabilities may include:

                                                  -
                                                • Databases: traditional or NoSQL - designing/modeling, administering, writing complex queries/stored procedures
                                                • -
                                                • Coding/scripting (not necessarily as a Developer) – Java, C#, Python
                                                • -
                                                • ETL/ELT/Data integration – SSIS, PowerCenter, Sqoop, NiFi, Kafka, Storm
                                                • -
                                                • Various SLDC methods (i.e. agile, iterative, waterfall, etc.)
                                                • +
                                                • A member of cross-functional Study Management Teams
                                                • +
                                                • With assistance of senior statistical scientists, reviews study protocols, Data analysis plans and statistical analysis plans.
                                                • +
                                                • With assistance of senior statistical programmer analyst (SPA) program deliverables (tables, listings and graphs) for clinical study according to requirements (specification and standards). May review and implement dataset specification for simple derived variables.
                                                • +
                                                • Reviews and contributes to study initiation activities
                                                • +
                                                • Study Conduct: Reviews case report forms to ensure protocol objectives are met and project standards are maintained. Contributes to user acceptance testing of data collection systems and quality control of filing and regulatory documents for statistical accuracy. Develops statistical programs as necessary to perform analyses, Review and approve analyses produced by statistical programming, ensuring the accuracy and validity of results.
                                                • +
                                                • Analysis & Reporting: Review the clinical study report, and with assistance of senior scientists and cross-functional team members. Reviews global health authority documents and regulatory response for health authority submissions
                                                • +
                                                • Contributes to study publications and presentations, and provides analytical support for exploratory activities such as personalized healthcare biomarker development and PK/PD modelling.

                                                -

                                                Bonus points for any experience with: DevOps or Continuous Delivery tools and processes, cloud (IaaS/PaaS), data profiling and analysis, and/or Hortonworks Data Platform / DataFlow.

                                                -

                                                -

                                                Am I Right for the Job?

                                                -

                                                We're looking for a passionate, motivated individual to join our team. Experience with any or all the tools and technologies mentioned is a huge plus, but don't let one or more of those list items deter you! If you're excited by this posting, we want to hear from you!

                                                -

                                                -

                                                What about Perks?

                                                -

                                                Manulife has lots of perks including, but not limited to:

                                                +

                                                Qualifications:

                                                  -
                                                • Competitive compensation
                                                • -
                                                • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                • -
                                                • Manulife Share Ownership Program with employer matching
                                                • -
                                                • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                • -
                                                • Financial support for ongoing training, learning, and education
                                                • -
                                                • Monthly Innovation Days (Hackathons)
                                                • -
                                                • Wearing jeans to work every day
                                                • -
                                                • An abundance of career paths and opportunities to advance
                                                • -
                                                • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements
                                                • +
                                                • Currently enrolled in a Masters or PhD level program in Statistics, Biostatistics, Data Science or similar areas of academic discipline
                                                • +
                                                • Programming skills and experience using statistical software such as R
                                                • +
                                                • Good Communication and Collaboration Skills (including interpersonal skills to contribute effectively in cross-functional team settings, ability to build collaborative relationships with scientific and non-scientific partners)
                                                • +
                                                • Demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges; finds solutions to technical problems
                                                • +
                                                • Good knowledge of English in a business environment
                                                • +
                                                • +
                                                +

                                                Qualified candidates are encouraged to submit cover letter and resume no later than February 3, 2021.

                                                -

                                                This is a permanent full time role based in our Toronto, Ontario office.

                                                -

                                                +

                                                This position is not eligible for relocation support.

                                                +

                                                This position is open to applicants legally authorized to work in Canada.

                                                +

                                                NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                -


                                                If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                -


                                                About Manulife

                                                -

                                                Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                -



                                                -

                                                Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                ",,https://jobs.manulife.com/ShowJob/JobId/914199/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-06-03T21:03:00.000Z,False,0,4,45,https://talenthub.vectorinstitute.ai/jobs/34172933-data-engineer-at-manulife,,expired,2020-05-04T17:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -1c1eb935-67db-47a4-8ca5-967a0caf3ff3,34234580,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, ON, Canada",2020-05-06T18:08:55.973Z,"

                                                Requirements

                                                -
                                                    -
                                                  • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                  • -
                                                  • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                  • -
                                                  • Excellent scientific writing and presentation skills.
                                                  • -
                                                  • Programming experience in at least one of Python, C or C++
                                                  • -
                                                  • Strong organizational, interpersonal, and communication skills.
                                                  • -
                                                +

                                                Roche is an equal opportunity employer and prohibits unlawful discrimination based upon any legally protected ground. Roche will make a good faith effort to accommodate the individual needs of applicants with disabilities in our recruitment process

                                                -

                                                What we offer

                                                -
                                                    -
                                                  • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                  • -
                                                  • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                  • -
                                                  • Competitive compensation package
                                                  • -
                                                -

                                                Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2020-06-05T18:08:00.000Z,False,0,33,170,https://talenthub.vectorinstitute.ai/jobs/34234580-graduate-research-intern-machine-learning-at-deep-genomics,,expired,2020-05-06T18:08:00.000Z,admin,Scaling (20-499),,Health,Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, -3778112a-dd8a-4d3c-9c69-c8da5013581d,34425618,Intact Financial Corporation,BI Business Analyst (Temporary 7 months),on_site,"Ottawa, Ontario",2020-05-11T15:03:30.028Z,"

                                                To be innovative, you need courage. And being courageous is in our DNA. Sixty years ago, we started our business by insuring taxi drivers when no one else would. In 1997, we became the first car insurance company in North America to offer an online car insurance quote directly to consumers. We know that insurance is too important to be complicated. So, we work hard to make it simple for people to protect the things they care about. That’s us. Insurance. Simplified.

                                                -

                                                Your Job

                                                -

                                                We value diversity and are committed to creating an inclusive workplace that inspires each of us to be the best we can be. Join our team and make a difference!

                                                -

                                                We have an exciting opportunity for you!

                                                -

                                                We are looking for a candidate for a 7-month secondment with the Business Intelligence (BI) team as an Analyst.

                                                -

                                                This position is open to the Anjou and Ottawa centers.

                                                -
                                                  -
                                                • Provide daily support to the Sales & Workforce management teams data & analysis inquiries
                                                • -
                                                • Maintain and update monthly executive scorecards for DD departments & produce daily reports for the operational teams
                                                • -
                                                • Assist in the creation/maintenance of BI system & process documentation & automation
                                                • -
                                                • Develop new ad-hoc reporting & insights (using BI databases and Power Query) to assist sales and operations
                                                • -
                                                • Aid in moving existing reports (Both BI and other operational reports) towards full automation by working with the BI development team
                                                • -
                                                • Provide business expertise to the BI Development team
                                                • -
                                                -

                                                Your Skills

                                                -
                                                  -
                                                • Advanced Excel knowledge & skills including but not limited to: Advanced Formulas, Data Modeling and Pivot Tables
                                                • -
                                                • Windows proficiency and advanced knowledge of Microsoft office suite: Word, PowerPoint, etc.
                                                • -
                                                • Capacity to work with graphs and charts
                                                • -
                                                • Data and business analysis abilities
                                                • -
                                                • Excellent written and verbal communication skills
                                                • -
                                                • Innovative and creative thinking
                                                • -
                                                • Ability to balance work tasks with agility
                                                • -
                                                • Strong organizational skills and attention to detail
                                                • -
                                                • Oracle and SQL knowledge is an asset
                                                • -
                                                • Knowledge of Power BI is an asset
                                                • -
                                                • Bilingual is not a requirement but is a strong asset.
                                                • -
                                                -

                                                Closing Statement

                                                -

                                                We are an Equal Opportunity Employer

                                                -

                                                At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                                -

                                                Background Checks

                                                -

                                                As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                -

                                                Eligibility

                                                -

                                                It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                ",,https://careers.intact.ca/ca/en/job/IFCOUS11604/BI-Business-Analyst-Temporary-7-months,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-05-25T15:49:00.000Z,False,0,7,27,https://talenthub.vectorinstitute.ai/jobs/34425618-bi-business-analyst-temporary-7-months-at-intact-financial-corporation,,expired,2020-05-11T15:03:00.000Z,admin,Enterprise (500+),,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -709387df-f7a6-4684-aa70-bcd917a475a4,91761695,Sun Life Financial,"Senior Data Scientist, Security Analytics",on_site,"Ontario, Canada",2021-11-01T06:32:03.602Z,"
                                                +

                                                AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                +

                                                Roche is an equal opportunity employer.

                                                +

                                                Vocational & Development Programs, Vocational & Development Programs > Internship

                                                ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202101-100806&locale=en&title=Coop+Student%2C+Data+Sciences+%288+month+assignment%29&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-02-08T15:56:00.000Z,False,0,16,67,https://talenthub.vectorinstitute.ai/jobs/47838905-coop-student-data-sciences-8-month-assignment-at-roche,,expired,2021-01-18T19:36:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Internship/Co-op,Bachelors Degree,New Posting, +66c0b0b9-7301-4244-a0a9-1bebb768132e,48143723,Loblaw Companies Ltd.,"Data Engineering Analyst, Identity Management",on_site,"1 Presidents Choice Circle, Brampton, ON; 500 Lakeshore Ave, Toronto, ON",2021-01-21T07:12:24.869Z,"
                                                -

                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                -

                                                -

                                                -

                                                Job Description:

                                                +

                                                Location:

                                                1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                -

                                                Role Summary

                                                +

                                                The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                -

                                                Do you have a passion for data? Do you enjoy influencing business decisions that impact our employees, clients and financial outcome? If you are analytical, curious, love solving complex business problems, we need you to join our high performing team to deliver exceptional value through analytics and insights that will drive the right actions for the business

                                                -

                                                The Global Security Analytics team is looking for a Senior Data Scientist that will help us improve monitoring and control of advanced cyber threats by extracting insights hidden in vast amounts of network and security log data.

                                                -

                                                Your primary focus will be building machine learning models, applying data mining techniques, performing statistical analysis and developing actionable reports with data visualizations. Your success in this role will be achieved by identifying previously undiscovered intrusions or by improving the organization’s security posture or the measurement thereof. The goal is to create new strategic and tactical value from security-relevant data through the dedicated exploration, analysis and investigation of that data using cutting-edge analytic technologies and techniques.

                                                +

                                                Why is this role important?

                                                +


                                                Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!
                                                If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                The Data, Insights & Analytics (DI&A) team at Loblaw is hiring an IDM Data Engineering Analyst to become a key member of the team charged with delivering a major change to the way Loblaw manages data about individuals. Reporting to the Senior Manager – DSC, the role will be a key member of a small multinational team of professionals who will build out and operate a new data supply chain (DSC) for the DI&A identity program.

                                                -

                                                What will you need?

                                                -
                                                  -
                                                • Perform large-scale data analysis and applying effective statistical methods and machine learning models for improving Cybersecurity detection at Sun Life.

                                                • -
                                                • Design and develop AI/Machine Learning models for business operations

                                                • -
                                                • Design, develop, test, and deploy workloads on AWS SageMaker, applying models and algorithms to mine the stores of big data.

                                                • -
                                                • Process, cleanse, and verify the integrity of data used for analysis.

                                                • -
                                                • Developing complex SQL queries across multiple data sources to support analysis and optimizing workloads to reduce query runtimes.

                                                • -
                                                • Accurately prepare and promptly complete all required supporting documentation for assigned projects/tasks (i.e., reports, models, change requests, presentations, tables, files, etc).

                                                • -
                                                • Present information using data visualization techniques for internal business partners.

                                                • -
                                                +

                                                You love data. You love to work out how to most efficiently move it around, to understand its flows and behaviours and to overcome insurmountable obstacles to wring the last byte of useful information from every data stone. You’re an expert in ETL but you are happy to try anything and pitch in wherever needed. You think being called a “Data Geek” is a high compliment. Whenever you watch the scene in The Matrix where Neo starts to actually see the green flowing data of “the Matrix” you totally bounce up & down on your couch and point to the TV excitedly yelling “Me too, me too!”.

                                                +

                                                Does all that sound like you? If so, read on!

                                                -

                                                What you need to succeed?

                                                -
                                                  -
                                                • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

                                                • -
                                                • 5+ years experience in using Python/R and SQL (Hadoop, Microsoft SQL Server, SAS, Oracle, etc.) to analyze data and gather valuable insights.

                                                • -
                                                • 2 + years experience developing and building ML models including Predictive Modelling, Data Science application development.

                                                • -
                                                • Minimum of 1 year experience with Amazon Web Services including Athena, Redshift, Lambda and SageMaker.

                                                • -
                                                • Thorough knowledge and demonstrated experience in data management best practices (importing, cleaning, transforming, validating, quality and modeling data)

                                                • -
                                                • -

                                                  Conceptual understanding of the following topics:

                                                  -
                                                    -
                                                  • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components.

                                                  • -
                                                  • Database theory, ETL/data pipeline design and data modelling.

                                                  • -
                                                  -
                                                • -
                                                -
                                                • Solid communication skills – have the ability to explain complexity of data and analytical models to a non-data audience and explain the complexity of analytics to the business, IT and governance audience

                                                -
                                                • Adaptable - maintains effectiveness while managing competing demands, able to deal with frequent change, delays or unexpected events

                                                +

                                                The role will require top-flight technical “Data Ninja” know-how, as well as excellent interpersonal and communication skills. Technical expertise in ETL design & management are very important parts of the role. As a key plank in the company’s data strategy the nascient identity programme also has heavy interdependency with other skill areas and disciplines such as Data Engineering, Data Governance, Data Management, Data Sciences & Analytics and Privacy & Consent management and the DSC is a core part of this programme

                                                +

                                                The successful candidate will be a creative problem-solver with a passion for using data to solve business problems.

                                                -

                                                Unique Requirements

                                                +

                                                What You'll Do:

                                                +

                                                +

                                                · Collaborate with the Director – DSC, your IDM colleagues the identity programme team and colleagues across DI&A to provide thought leadership to a team of data professionals, engineers and developers responsible for designing, building and maintaining a new data supply chain (DSC) for data about individuals across Loblaw.

                                                +

                                                · Conduct ETL sampling, testing, analysis, solutioning and execution for new data lines of supply between business units and DI&A

                                                +

                                                · Manage resources both directly in the DSC team and indirectly as an influencer across DI&A.

                                                +

                                                · Provide advice, consultancy and advocacy of data sourcing and ETL concepts, know-how and best practices across the organization.

                                                +

                                                · Be a go-to SME for ETL expertise

                                                +

                                                · Assist with management of the DSC workflows, knowledge base, intellectual property assets and backlog.

                                                +

                                                · Represent the identity programme generally and the DSC Team specifically in internal and external meetings, conferences and events as a DSC SME.

                                                +

                                                · Be a total Data Ninja!

                                                +

                                                +

                                                What You'll Bring:

                                                +

                                                · Creative, original thinking and can-do mindset – be our secret weapon of positive brilliance!

                                                +

                                                · Experience as a Data professional. This could include hands-on experience with data architecture, data modelling, data quality, data governance, data engineering, identity resolution, ETL, natural language processing, AI/ML, metadata management, master data management, etc.

                                                +

                                                · Experience in working with dynamic, complex data supply chains in business environments a plus

                                                +

                                                · Experience working with people data and familiarity with PII/PHI concepts a plus

                                                +

                                                · Tertiary qualification in Computer Science, Engineering or related field.

                                                +

                                                · Agile know-how mandatory, qualifications/certification preferred

                                                +

                                                · Hands-on familiarity with modern data environments including relational, NoSQL & Graph databases (e.g. Teradata, Oracle, SQL Server, SFDC, MongoDB, Firebase, Cassandra, Neo4J etc) and big data technologies (Hadoop, Hive, Amazon Athena)

                                                +

                                                · Familiarity with ETL systems (e.g. Talend, Informatica, Alteryx, OpenRefine, Apache NiFi) is a must

                                                +

                                                · Hands-on experience & fluency in Cloud-native technology solutions.

                                                +

                                                · Ability to work in a global team located across continents and time zones, and a flexible approach to working hours.

                                                +

                                                · Familiarity with 3rd & 4th generation scripting languages & platforms (R, JavaScript, Python etc)

                                                +

                                                · Excellent communication and interpersonal skills, approaching challenges with energy and passion.

                                                +

                                                · Familiarity with Google Cloud Platform (GCP) frameworks a plus

                                                +

                                                · Ability to take initiative, multi-task and work in a fast-paced environment

                                                +

                                                · Strong detail orientation is essential in this role

                                                +

                                                · A team player and self-starter

                                                -

                                                The candidate selected for this role is required to have special clearance from the RoyalCanadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​. Canadian Reliability Security Clearance is administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                -

                                                What will be nice to have?

                                                -
                                                • Experience with Data Visualization and Reporting tools (Tableau Desktop, Power BI, AWS Quicksight) is nice to have

                                                +

                                                How You’ll Succeed:

                                                +

                                                At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                +

                                                If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                -

                                                What’s in it for you?

                                                -
                                                  -
                                                • Competitive salary and bonus structure influenced by market range data

                                                • -
                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                • -
                                                • An environment of continuous learning and improvement

                                                • -
                                                • Flexible hours and periodic work from home options

                                                • -
                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                • -
                                                +

                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                +

                                                Employment Type:

                                                Full time

                                                -

                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                +

                                                Type of Role:

                                                Regular

                                                -

                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                -

                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                +

                                                Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                -

                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                -

                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                -

                                                Salary Range:

                                                74,900/74 900 - 125,900/125 900

                                                -

                                                Job Category:

                                                IT - Technology Services

                                                -

                                                Posting End Date:

                                                14/11/2021
                                                -
                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Manager--Security-Analytics_JR00042864?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-04T06:37:05.400Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/91761695-senior-data-scientist-security-analytics-at-sun-life-financial,,expired,2021-11-01T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,,Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -60b2c04a-2792-4c84-8bb0-7b449095c5f2,80462758,Shopify Inc.,Senior Data Engineer (Americas - Remote),on_site,"Ontario, Canada",2021-08-31T07:06:06.791Z,"

                                                About the role

                                                -

                                                Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:

                                                -
                                                  -
                                                • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security + quality of our datasets.
                                                • -
                                                • The Analytics group builds products that leverage the Engine primitives to deliver simple and useful products that power scalable transformation of data at Shopify in batch, or streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?
                                                • -
                                                • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.
                                                • -
                                                • The Reliability group operates the data platform efficiently in a consistent and reliable manner. They build tools for other teams at Data Platform to leverage to encourage consistency and they champion reliability across the platform.
                                                • -
                                                -

                                                -

                                                Qualifications

                                                While our teams value specialized skills, they\'ve also got a lot in common. We\'re looking for a(n):

                                                -
                                                  -
                                                • High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact.
                                                • -
                                                • Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders.
                                                • -
                                                • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
                                                • -
                                                • Solid software engineer: experienced in building and maintaining systems at scale.
                                                • -
                                                -

                                                A Senior Data Developer at Shopify typically has 4-6 years of experience in one or more of the following areas:

                                                -
                                                  -
                                                • Working with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
                                                • -
                                                • Query optimization, resource allocation and management, and data lake performance (Presto, SQL)
                                                • -
                                                • Cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                                • -
                                                • Security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
                                                • -
                                                • Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
                                                • -
                                                • Building full-stack applications (Ruby/Rails, React, TypeScript)
                                                • -
                                                • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
                                                • -
                                                • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)




                                                  #Senior Software Developer- Distributed Systems #Senior Software Developer- Data Engineering #Senior Data App Developer #Senior Data Reliability Engineer #Senior Software Developer- Reliability
                                                • -
                                                +

                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                +
                                                ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Analyst--Identity-Management_R2000198166,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-01-28T14:42:04.344Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/48143723-data-engineering-analyst-identity-management-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Engineering-Analyst--Identity-Management_R2000198166,expired,2021-01-21T07:12:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +35878d00-ee7e-4c51-af45-e35b05941c71,48144591,Deloitte,"Manager, AI Strategy, Omnia AI - Toronto",on_site,"Toronto, Ontario, Canada",2021-01-21T07:18:36.555Z,"
                                                +

                                                Job Type: Permanent
                                                Primary Location: Toronto, Ontario, Canada
                                                All Available Locations: Toronto

                                                +

                                                +

                                                Learn from deep subject matter experts through mentoring and on the job coaching
                                                Partner with clients to solve their most complex problems
                                                Be empowered to lead and have impact with clients, our communities and in the office.

                                                +
                                                +
                                                +
                                                +

                                                +

                                                Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                                -

                                                At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                -

                                                -

                                                Shopify is now permanently remote and working towards a future that is digital by design. Learn more

                                                How we hire

                                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                Learn more about our hiring process +
                                                +
                                                +

                                                What will your typical day look like?

                                                +

                                                +
                                                +

                                                As a Manager, AI Strategy you will be responsible for generating, leading and managing a portfolio of Deloitte’s Omnia AI Strategy services engagements (projects) within your focus area. The role includes developing and nurturing client relationships, leading project teams, coaching and mentoring Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm.

                                                +

                                                This role has full life-cycle responsibility over AI Strategy projects, which includes responsibility for identifying opportunities, proposal development and pursuit assistance, project delivery, team leadership and team performance, quality of our project deliverables and engagement financials.

                                                +

                                                Specifically, you will:

                                                +
                                                • Offer expertise in Artificial Intelligence Strategy, building out of AI capabilities and operating model, as well as their application towards creation of business value for our clients
                                                • Be instrumental in growing and mentoring a pool of talented AI Strategy practitioners, participate in and drive sales opportunities, and display eminence in various strategic initiatives across Omnia AI, Deloitte and the external marketplace
                                                • Apply deep knowledge of disruptive trends and competitor activity to advise clients on their AI Strategy
                                                • Design AI roadmaps for clients based on readiness, aspirations and vision
                                                • +
                                                +
                                                +
                                                +

                                                About the team

                                                +

                                                +
                                                +

                                                Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                +

                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across multiple industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics and/or AI domains.

                                                -
                                                ",,https://www.shopify.ca/careers/senior-data-engineer-americas-remote-6932cbed,feed-importer@jobboard.io,,,,2021-09-06T07:11:04.488Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/80462758-senior-data-engineer-americas-remote-at-shopify-inc,,expired,2021-08-31T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, -d062de1c-17f1-4b46-8b3b-a85bdede1d79,96760407,Vector Institute,"Program Coordinator, Academic Partnerships (Contract) ",on_site,"Ontario, Canada",2021-12-02T05:56:46.817Z,"
                                                -

                                                POSITION OVERVIEW

                                                -

                                                -

                                                The Vector Institute is seeking a Program Coordinator, Academic Partnerships to join our growing team in Toronto. Reporting to the Director, Academic Partnerships, the Program Coordinator, Academic Partnerships is a key contributor to the team’s targeted initiatives to develop future generations of top AI talent. In this dynamic role, you will develop and streamline processes and perform administrative and business functions to support the Academic Partnerships team members and programs.

                                                -

                                                -

                                                EMPLOYMENT TYPE

                                                -

                                                -

                                                Contract (12 months)

                                                -

                                                -

                                                KEY RESPONSIBILITIES

                                                -

                                                -
                                                  -
                                                • Provide administrative support for the Academic Partnerships Team, including performing various coordination tasks e.g., maintaining various contact lists, supporting committee work, and handling inquiries.
                                                • -
                                                • Help coordinate the Vector Scholarship in Artificial Intelligence adjudication process and fund disbursements to universities by maintaining meticulous records and systems.
                                                • -
                                                • Coordinate and maintain various communications and mailing lists for all academic stakeholders including AI master’s students and alumni, academic programs, and undergraduate students.
                                                • -
                                                • Assist in the coordination of internal and external-facing events targeting AI master’s students and alumni, including data cleaning, stakeholder tracking and follow up, etc.
                                                • -
                                                • Support the outreach to student groups to promote Vector’s mandate and initiatives and build a strong talent pipeline in AI.
                                                • -
                                                • Ensure the seamless collection of student data, maintaining its accuracy to track employment outcomes post-graduation and measure impact of Vector’s initiatives on workforce development.
                                                • -
                                                • Perform tasks to support data collection and presentation, including building forms and surveys, maintaining databases, visualizing data (i.e., charts and graphs) for various audiences and reporting requirements, supporting documentation and records retention.
                                                • -
                                                • Maintain up-to-date documentation on processes and workflows.
                                                • -
                                                • -Undertake other duties as assigned.
                                                  -
                                                • +
                                                +
                                                +
                                                +

                                                Enough about us, let’s talk about you

                                                +

                                                +
                                                +

                                                You are someone with:

                                                +
                                                • “Big Picture” thinker, with the ability to achieve excellence through effective leadership and inspiring teams to high performance
                                                • 5+ years of consulting and/or life science & healthcare industry experience in a Strategic role with Tier 1 Professional Services, Consulting or Advisory Firms and/or other leading life sciences and healthcare organizations, including demonstrated experience in data, AI or advanced analytics as business enablers/value driver.
                                                • Direct experience in driving Data, Analytics and/or AI strategy development and implementation in Canadian LSHC organizations.
                                                • Experience in strategy and/or analytics/AI enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                • Demonstrated experience with business development, including develop/maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies
                                                • Demonstrated experience with managing analytics/AI implementation engagements end-to-end including lead planning & budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solution from top management to all levels; direct on-time, quality delivery of work products; manage engagement economics, issues and risks.
                                                • If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.
                                                -

                                                -

                                                PROFILE OF IDEAL CANDIDATE

                                                -
                                                  -
                                                • You are passionate about growing Canada’s global leadership in AI research.
                                                • -
                                                • You are highly organized, with strong time management and multitasking skills, and are motivated to work in a fast-paced environment with different stakeholders, including professional staff, students and alumni, as well as academics.
                                                • -
                                                • You are action oriented and have a demonstrated ability to take direction and turn it into actionable results.
                                                • -
                                                • You have demonstrated experience with small and large event planning.
                                                • -
                                                • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                • -
                                                • You possess a positive attitude, integrity, a sense of humor, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                                • -
                                                • You have excellent verbal and written English communication skills.
                                                • -
                                                • You possess a high level of proficiency with GSuite or the Microsoft Suite of applications, Excel in particular (with an emphasis on data manipulation and visualization skills), Mailchimp, Eventbrite, Canva, WordPress, Adobe Illustrator and Zapier.
                                                • -
                                                • -You have a keen eye for detail, design and data presentation (i.e., charts and graphs).
                                                  -
                                                • +
                                                +
                                                +
                                                +

                                                Why Deloitte?

                                                +

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                +
                                                • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                -

                                                -

                                                Please address applications (cover letter and resume) to Tolu Onajin, Human Resources Business Partner, using the link provided. Review of applications will begin December 13, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                -

                                                -

                                                Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                -

                                                -

                                                At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                -

                                                -

                                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                -
                                                ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=159&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-01-01T20:11:32.649Z,False,0,1,34,https://talenthub.vectorinstitute.ai/jobs/96760407-program-coordinator-academic-partnerships-contract-at-vector-institute,,expired,2021-12-02T05:56:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Entry Level,Bachelors Degree,New Posting, -36d38955-2f1d-4b6a-9c76-76c14145a71e,96765537,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2021-12-02T06:49:10.916Z,"
                                                -
                                                -
                                                -

                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                -

                                                -

                                                -

                                                Job Description:

                                                -

                                                -

                                                Role Summary

                                                -

                                                -

                                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                -

                                                -

                                                Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                -

                                                -

                                                Sun Life views success in this role in demonstration of these key attributes:

                                                -

                                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                -

                                                -

                                                What will you do?

                                                -
                                                  -
                                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                • -
                                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                • -
                                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                • -
                                                -
                                                  -
                                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                • -
                                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                • -
                                                • Champion and support diversity and inclusion

                                                • -
                                                -

                                                -

                                                What will you need to succeed?

                                                -
                                                  -
                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                • -
                                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                • -
                                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                • -
                                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                • -
                                                • Experience with AWS services including SageMaker

                                                • -
                                                • Experience with machine learning including supervised and unsupervised models

                                                • -
                                                • Demonstrated experience in data transformation & data manipulation

                                                • -
                                                • Experience working with Structured vs. Unstructured data

                                                • -
                                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase,, Spark is strongly desirable

                                                • -
                                                • Effective and concise oral and written storytelling and insights communication skills

                                                • -
                                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                • -
                                                • Ability to document work and effectively prioritize documentation

                                                • -
                                                -

                                                -

                                                What will be nice to have?

                                                -
                                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                -

                                                -

                                                Unique Requirements

                                                -

                                                -

                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                                                -

                                                -

                                                What\'s in it for you?

                                                -
                                                  -
                                                • Competitive salary and bonus structure influenced by market range data

                                                • -
                                                • 20 days vacation per year and an innovative sabbatical program

                                                • -
                                                • A friendly, collaborative and inclusive culture

                                                • -
                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                • -
                                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                                • -
                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                • -
                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                • -
                                                -

                                                -

                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                -

                                                -

                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                -

                                                -

                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                -

                                                -

                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                -

                                                -

                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                -

                                                -

                                                Salary Range:

                                                74,900/74 900 - 125,900/125 900

                                                -

                                                Job Category:

                                                Advanced Analytics

                                                -

                                                Posting End Date:

                                                09/01/2022
                                                -
                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00044795?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2022-01-01T20:12:27.814Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/96765537-senior-data-scientist-at-sun-life-financial,,expired,2021-12-02T06:49:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d57688f2-1c72-43f1-b750-c68012412c4b,96826894,CIBC,Sr. Finance Data Analyst,on_site,"Ontario, Canada",2021-12-02T10:03:07.016Z,"
                                                -
                                                -
                                                -

                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                -

                                                -

                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                -

                                                -

                                                To learn more about CIBC, please visit CIBC.com

                                                -

                                                -

                                                Job Description

                                                -

                                                -

                                                What You’ll Be Doing

                                                -

                                                -

                                                The Global Process Owner Accounting (GPO) Team is accountable for working to align all Capital Market (CM) strategic initiatives for people, policies and technologies across geographies with a mindset to optimize processes and eliminate inefficiencies and redundancies. You will be leveraging your data analytics background and tools such as Alteryx, Tableau & DevOps to create workflows and visualizations to help management draw insights and aid in strategic decision making. You will contribute to and lead projects to optimize and simplify processes, working with a variety of internal stakeholders including CM Trading, Technology and Operations as well as numerous groups within Finance.

                                                -

                                                -

                                                How You’ll Succeed

                                                +


                                                The next step is yours

                                                +

                                                Sound like The One Firm. For You?

                                                +

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                +

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-Toronto-ON-M5C-3G7/700278900/,feed-importer@jobboard.io,,,,2021-02-11T14:59:57.318Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/48144591-manager-ai-strategy-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-AI-Strategy%2C-Omnia-AI-Toronto-ON-M5C-3G7/700278900/,expired,2021-01-21T07:18:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, +68e874ca-ca92-4280-b528-01caa7d383b4,48145222,RBC,"ESG Data Analyst, Corporate Governance & Responsible Investment",on_site,"Toronto, Ontario, Canada",2021-01-21T07:21:16.184Z,"
                                                +

                                                What is the opportunity?

                                                +

                                                RBC Global Asset Management's Corporate Governance & Responsible Investment (CGRI) team, which supports RBC GAM’s investment teams in integrating environmental, social and governance (ESG) factors into their investment processes, is seeking a Data Analyst to join our team. In this position, you will work closely with other members of the CGRI team to develop the data and tools needed to integrate ESG into the investment processes. In addition, you will work on analysis of data on investments (for example, the potential implications of climate data on investment outcomes). Please visit: https://www.rbcgam.com/en/ca/ for more information.

                                                +

                                                +

                                                What will you do?

                                                  -
                                                • -Relationship management – possess good teamwork, partnership and relationship building skills sufficient to act in a collaborative manner with team members and stakeholders from different backgrounds and experiences. You will liaise daily with Finance, Front Office and other Capital Markets’ stakeholder groups.
                                                • -
                                                • -Accounting and Controls – draw on your controls & governance skill sets to design and implement processes that result in accurate, complete, and timely inputs used throughout Finance. You take a holistic view of problems end to end and develop deep understanding of the current state so you can recommend ways to do things better. You draw on your past experiences to lead significant break investigations and analysis which is then summarized and presented to key stakeholders.
                                                • -
                                                • -Subject Matter Expertise - Provide subject matter expertise (SME) on business analytics serving as the lead on all reporting / data visualization projects to gather reporting and data visualization requirements and develop user reports and dashboards.
                                                • -
                                                • -Data/Reporting - Deliver key design and solution on reporting and dashboarding projects as well to provide thought leadership on data capture and delivery for the overall project.
                                                • -
                                                • -Advisory - Provide advisory and training to Finance users on the adoption and proper use of the business analytics tools.
                                                • -
                                                • -Agility – drive value by integrating, standardizing and sustaining the processes throughout the CIBC. You will help in eliminating process inefficiencies and creating enterprise-wide changes by developing a good understanding of the current state processes, defining the target state, and helping establishing a plan to streamline.
                                                • +
                                                • Help drive the data strategy for the team, moving towards a scalable infrastructure by understanding and managing the team’s data needs.
                                                • +
                                                • Partner with GAM’s Data Governance Office and Technology Group to take advantage of, and contribute meaningfully to, GAM’s investment data sets, tools and analytics that are available for use by the investment teams.
                                                • +
                                                • Implement and automate ESG processes (such as carbon footprinting, ESG and climate dashboards); data onboarding
                                                • +
                                                • Design and develop productivity enhancing tools for data management and exploration
                                                • +
                                                • Proactively participate in project development strategies, system design, and delivery time lines assessment
                                                • +
                                                • Perform the analysis, design, development and review of production scripts
                                                • +
                                                • Communicate with portfolio managers and research analysts to understand their data requirements
                                                • +
                                                • Keep abreast of research into new and emerging technologies such as machine learning and advanced analytics, and identify opportunities to apply these in the team’s research activities.
                                                -

                                                -

                                                Who You Are

                                                +

                                                +

                                                What do you need to succeed?

                                                +

                                                Must Have

                                                +

                                                  -
                                                • -You are an experienced data professional. You have 2 or more years of experience as a dashboarding or reporting specialist and 3 years of relevant industry experience. You have comprehensive knowledge of a number of workflow automation or data visualization tools / platforms with the ability to interpret complex business requirements. Practical DevOps, Alteryx & Tableau experience an asset
                                                • -
                                                • -You can demonstrate experience with a strong Capital Markets accounting background in order to support the oversight and governance functions, including enhancement of financial controls across multiple groups.
                                                • -
                                                • -You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                                • -
                                                • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                • -
                                                • -You have a degree in Computer Science, Business, Finance or Accounting, a certificate in Data Science, or an equal combination of education and industry experience.
                                                • -
                                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                • +
                                                • Degree of background in information technology, computer science or mathematics
                                                • +
                                                • Experience with Python and/or R and/or Matlab
                                                • +
                                                • Database development experience (SQL Server) and knowledge in data analytics
                                                • +
                                                • Demonstrate strong technical ability and a keen interest in new and emerging technology
                                                • +
                                                • Ability to process information with high levels of accuracy and attention to detail
                                                -

                                                -

                                                What CIBC Offers

                                                -

                                                -

                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                +

                                                +

                                                +

                                                Nice to have

                                                  -
                                                • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                • -
                                                • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration, and creativity
                                                • -
                                                • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                • -
                                                • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                • +
                                                • Experience in (ESG) Environmental, Social and Governance
                                                • +
                                                • Financial industry experience
                                                • +
                                                • Knowledge of data as it relates to material ESG factors, particularly climate
                                                -

                                                -

                                                What you need to know

                                                +

                                                +

                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                +

                                                We thrive on the challenge to be our best, apply progressive thinking and to keep growing and working together to deliver trusted advice and investment products that help our clients thrive and communities prosper. We care about each other and in reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                +

                                                  -
                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com -
                                                • -
                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                • +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable
                                                • +
                                                • Leaders who support your development through coaching and managing opportunities
                                                • +
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • +
                                                • Flexible work/life balance options
                                                • +
                                                • Opportunities to do challenging work and to take on progressively greater responsibilities
                                                -

                                                -

                                                -

                                                Job Location

                                                18 York Street, 10th floor

                                                Employment Type

                                                Regular

                                                -

                                                Weekly Hours

                                                37.5

                                                Skills

                                                -

                                                Alteryx, Azure Devops, Business Analysis, Capital Markets, Tableau
                                                -
                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analytics-Consultant--GPO_2125909,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2021-12-13T10:08:02.600Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/96826894-sr-finance-data-analyst-at-cibc,,expired,2021-12-02T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -98c55ead-28cf-4738-8931-11e5dcc11a6e,96837023,BMO Financial Group,Senior Business System Analyst - (Data / DevOps / Testing / Banking),on_site,"Toronto, ON M8X 1C4, Canada",2021-12-02T10:50:03.288Z,"
                                                -

                                                Address:

                                                120 Bloor Street East

                                                -

                                                -

                                                Job Family Group:

                                                Technology

                                                -

                                                -

                                                -

                                                -

                                                As part of the newly formed Business Analysis team in Corporate Treasury Technology, this Senior Business System Analyst role is required to execute the team's mandate to advance our business analysis practice and drive change to our applications. The successful candidate can expect a dynamic work environment with leadership opportunities. The team is currently focused on 2 major data centric programs in the Corporate Treasury portfolio that takes all instruments from total bank’s balance sheet source systems daily. These projects will provide firsthand experience of the data and applications in our portfolio.

                                                +

                                                +

                                                +

                                                +

                                                About RBC
                                                Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                +


                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                +

                                                +

                                                Inclusion and Equal Opportunity Employment
                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                +

                                                +

                                                +

                                                JOB SUMMARY

                                                +

                                                City: Toronto
                                                Address: 155 Wellington St. West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 02/02/2021
                                                Req ID: 313379

                                                +

                                                Posting Notes:

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/313379/ESG-Data-Analyst-Corporate-Governance-Responsible-Investment,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-02-04T21:42:13.813Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/48145222-esg-data-analyst-corporate-governance-responsible-investment-at-rbc,https://jobs.rbc.com/ca/en/job/313379/ESG-Data-Analyst-Corporate-Governance-Responsible-Investment,expired,2021-01-21T07:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e3e255f1-2624-4923-b5e5-30aa0ee2207d,48604091,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2021-01-25T14:34:06.735Z,"
                                                +

                                                Company Overview

                                                +
                                                +

                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                +

                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                +

                                                +

                                                Department Overview

                                                +
                                                Department Overview
                                                The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                +

                                                The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                +

                                                The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer (OCDO).

                                                +

                                                -

                                                Job Description:

                                                -

                                                Liaises with stakeholders to understand problems and opportunities and recommends solutions to enable the achievement of organizational goals. Builds exceptional relationships with business partners and internal stakeholders. Analyzes data and creates documents and plans in service of informing, advising, or updating stakeholders. Ensures the requirements map to a real business need, are approved by all relevant stakeholders, and meet essential quality standards. Participates in reviews or inspections, in collaboration with the project team, to ensure the quality of work products.

                                                -
                                                  -
                                                • Manages complexity across business value, technology, and interaction models.
                                                • -
                                                • Possesses a deep understanding and problem-solving ability of various complexities.
                                                • -
                                                • Develops innovative approaches to create solutions to resolve problems and significant issues.
                                                • -
                                                • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                • -
                                                • Identifies emerging issues and trends to inform decision-making.
                                                • -
                                                • Contributes to the development of the seed funding request by ensuring project scope and benefits are clearly articulated and risks are identified.
                                                • -
                                                • Enables groups to successfully accept changes by informing stakeholders of their implications; recommends actions as appropriate.
                                                • -
                                                • Prepares and delivers presentations for senior leaders.
                                                • -
                                                • Acts in a larger project planning capacity.
                                                • -
                                                • Audits the quality of reports submitted by analysts and provides related coaching and support.
                                                • -
                                                • Supports the Request for Information (RFI) or Request for Proposal (RFP) with vendors if required.
                                                • -
                                                • Leads the preparation of end user reference materials and prepares end-user training materials.
                                                • -
                                                • Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs.
                                                • -
                                                • Ensures system specifications meet expectations/requirements and negotiates solutions.
                                                • -
                                                • Creates documentation to ensure the supportability of analyses.
                                                • -
                                                • Maintains existing requirements to ensure that current-state needs are known.
                                                • -
                                                • Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
                                                • -
                                                • Identifies, analyzes, and interprets trends or patterns in complex data sets.
                                                • -
                                                • Interprets large data sets that cover all lines of businesses at BMO Financial Group. Ability to filter and “clean”/normalize data.
                                                • -
                                                • Remains alert to new techniques for insights, analytics, and data visualization, and devises new ways of applying them.
                                                • -
                                                • Interprets data, analyzes results using statistical techniques and provide ongoing reports.
                                                • -
                                                • Recommends approaches to streamline and integrate technological processes in the organization to improve overall efficiency.
                                                • -
                                                • Facilitates discussions and follows a structured approach to plan, elicit, analyze, document, communicate and manage requirements with stakeholders.
                                                • -
                                                • Provides analytical support and insights.
                                                • -
                                                • Identifies opportunities to strengthen business analysis capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks across BMO.
                                                • -
                                                • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                • -
                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                • -
                                                • Provides specialized consulting, analytical and technical support.
                                                • -
                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                • -
                                                • Works independently and regularly handles non-routine situations.
                                                • -
                                                • Acts as the key technology contact in day-to-day interactions with business and other stakeholders.
                                                • -
                                                • Provides leadership/guidance to other technology teams to deliver solution.
                                                • -
                                                • Broader work or accountabilities may be assigned as needed.
                                                • -
                                                -

                                                -

                                                Qualifications:

                                                -
                                                  -
                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                • -
                                                • Possesses analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                                • -
                                                • Extensive experience working with large data sets. Any/all financial sector experience is an asset.
                                                • -
                                                • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                                • -
                                                • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                                • -
                                                • Demonstrates writing and documentation skills.
                                                • -
                                                • Understands and can explain to others the core processes involved in their area of support.
                                                • -
                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                • -
                                                • Verbal & written communication skills - In-depth.
                                                • -
                                                • Collaboration & team skills - In-depth.
                                                • -
                                                • Analytical and problem-solving skills - In-depth.
                                                • -
                                                • Influence skills - In-depth.
                                                • -
                                                • Data driven decision making - In-depth.
                                                • -
                                                -

                                                -

                                                -

                                                We’re here to help

                                                -

                                                -

                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                -

                                                -

                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                -

                                                -

                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                -

                                                -

                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                -
                                                ",,https://jobs.bmo.com/ca/en/job/R210022643/Senior-Business-System-Analyst-Data-DevOps-Testing-Banking,info@bmocareers.com,https://bmocareers.com/,,,2021-12-09T10:55:03.197Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/96837023-senior-business-system-analyst-data-devops-testing-banking-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210022643/Senior-Business-System-Analyst-Data-DevOps-Testing-Banking,expired,2021-12-02T10:50:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -8d304ac2-02a0-4d22-b070-7c8fa30abf32,341597394,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-09-11T16:41:02.054Z,"
                                                -
                                                Who are we?
                                                -
                                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                -

                                                -
                                                We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                -

                                                -
                                                Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                -

                                                -
                                                Join us on our mission and shape the future!
                                                -

                                                -
                                                Why this role?
                                                -
                                                Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                                                -

                                                -
                                                Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                                                -
                                                -

                                                As a Member of Technical Staff, you will:

                                                -
                                                    -
                                                  • Design, build and scale AI systems for serving our users.
                                                  • -
                                                  • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                                                  • -
                                                  • Learn from and work with the best researchers in the field.
                                                  • -
                                                -
                                                -

                                                You may be a good fit if you have:

                                                -
                                                    -
                                                  • Extremely strong software engineering skills.
                                                  • -
                                                  • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                  • -
                                                  • Experience writing kernels for GPUs using CUDA.
                                                  • -
                                                  • Experience using large-scale distributed training strategies.
                                                  • -
                                                  • Familiarity with autoregressive sequence models, such as Transformers.
                                                  • -
                                                  • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                  • -

                                                    -
                                                    * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                    -
                                                -
                                                -
                                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                -

                                                -
                                                -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                                                -

                                                -
                                                Our Perks:
                                                -
                                                🤝 An open and inclusive culture and work environment
                                                -
                                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                -
                                                🍽 Weekly lunch stipend, in-office lunches & snacks
                                                -
                                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                -
                                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                -
                                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                -
                                                🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                -
                                                ✈️ 6 weeks of vacation
                                                -

                                                -
                                                Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                -
                                                ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-10-11T19:17:27.356Z,False,0,19,111,https://talenthub.vectorinstitute.ai/jobs/341597394-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-09-11T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, -c122b5cf-8046-469f-8b4c-552c6bbfa31a,341375697,Roche,Senior Data Engineer,on_site,"Mississauga, ON, Canada",2024-09-09T19:56:22.552Z,"

                                                Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                -

                                                -

                                                -

                                                The Position

                                                -

                                                Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                                                -

                                                -

                                                We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology.

                                                -

                                                -

                                                As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights.

                                                -

                                                -

                                                The Opportunity:

                                                -

                                                -

                                                Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value.

                                                -
                                                  -
                                                • Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance
                                                • -
                                                • Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipeline
                                                • -
                                                • Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights
                                                • -
                                                -

                                                -

                                                Who You Are:

                                                -
                                                  -
                                                • 5+ years of experience as a Data Engineer. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous
                                                • -
                                                • Python experience (Pandas preferred)
                                                • -
                                                • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc)
                                                • -
                                                • Understanding of DataOps Practices
                                                • -
                                                • RDBMS/NoSQL
                                                • -
                                                • Docker experience
                                                • -
                                                • AWS experience preferred (EC2 / Lambda / Glue / S3)
                                                • -
                                                • Snowflake or similar cloud data platform experience preferred
                                                • -
                                                -

                                                -

                                                -

                                                Relocation benefits are not available for this position.

                                                -

                                                -

                                                -

                                                -

                                                Who we are

                                                -

                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                -

                                                -

                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                +

                                                Job Description

                                                +
                                                Job Description
                                                Reporting to the Senior Manager , the incumbent is accountable for OCDO Enterprise Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                +

                                                Accountabilities Include:

                                                +

                                                • Coordinate and lead the data processes and streams within the active Projects for existing and new data created;
                                                • Lead and coordinate data governance & management activities across project/PODs and LOBs
                                                • Supports completion of the Data Impact Assessment throughout the project Life Cycle
                                                • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;
                                                • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;
                                                • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;
                                                • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;
                                                • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;
                                                • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;
                                                • Participate in Business Bank’s Segment Data Council meetings;
                                                • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                +

                                                -

                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                +

                                                Requirements

                                                +
                                                Job Requirements • Seasoned leader with proven ability to develop and deliver holistic program level initiatives, on time and on budget;
                                                • Experience leading data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;
                                                • Strategic mindset with the ability to understand implications of key decisions on policies, down-stream processes, etc;
                                                • Knowledge of Business Bank data and systems considered an asset;
                                                • Experience working on data integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams
                                                • Excellent relationship management skills;
                                                • Excellent oral and written communication and presentation skills;
                                                • Strong organizational awareness;
                                                • Strong attention to detail and well-organized to manage large amounts of information and details
                                                • Superior negotiation and creative problem-solving skills
                                                Flexible Work Options Flex Time & Flex Place
                                                Inclusiveness At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                -

                                                Roche is an Equal Opportunity Employer.

                                                ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Sr-Data-Engineer_202405-111910-1,aimee.park@roche.com,https://www.roche.com/careers.htm,,,2024-10-10T17:30:00.000Z,False,0,7,48,https://talenthub.vectorinstitute.ai/jobs/341375697-senior-data-engineer-at-roche,,expired,2024-09-09T19:56:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -9cbf0de2-9967-4f15-ba86-e154d9794090,343661292,Thomson Reuters,Lead Software Engineer,on_site,"Ontario, Canada",2024-09-26T08:27:02.478Z,"
                                                JOB DESCRIPTION
                                                -
                                                -
                                                -
                                                -

                                                Are you looking for an amazing opportunity to grow your Product Engineering career in a company with a mission to become the world’s #1 content-driven AI tech company?

                                                +

                                                Hours

                                                +
                                                37.5

                                                -

                                                We are seeking a talented, self-driven and highly motivated Lead Software Engineer to join the Corporates Tax and Trade team in Toronto. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of products.

                                                +

                                                Inclusiveness

                                                +

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                -

                                                You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level.

                                                -
                                                -

                                                -

                                                About the Role

                                                -

                                                In this opportunity as Lead Software Engineer, you will:

                                                -
                                                • Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products.

                                                -
                                                • Lead the development and deployment of AI models, prioritizing efficiency, scalability, and maintainability.

                                                -
                                                • Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies.

                                                -
                                                • Participate in project/work planning sessions to analyze and understand requirements to the level of being able to contribute to their creation, in collaboration with capability/product and/or business owners.

                                                -
                                                • Develop and integrate applications per specification and translate technical requirements into application code and modules

                                                -
                                                • Approach development with a DevOps and continuous integration mindset.

                                                -
                                                • Ensure consistency with cloud architectural guiding principles for assigned projects

                                                -
                                                • Be proactive in raising problems, identifying solutions and giving/receiving feedback

                                                -
                                                • Assist in identifying and correcting software performance bottlenecks

                                                -
                                                -
                                                -
                                                • Work in a highly collaborative and dynamic agile team environment with multiple levels of technology staff across various geographical locations

                                                -
                                                • Providing technical expertise and peer code reviews to other team members and assisting team leads and project managers in work break down and story planning.

                                                -

                                                -

                                                About You

                                                -

                                                You’re a fit for the role of Lead Software Engineer if your background includes:

                                                -
                                                • 7-10+ years of experience in software development.

                                                -
                                                • Proven track record in the development of solutions using AI and Machine Learning.

                                                -
                                                • Proficiency in one or more programming languages such as Python, Java, C++, JavaScript, or similar.

                                                -
                                                • Demonstrated ability to mentor and guide junior engineers.

                                                -
                                                • Strong understanding of software development principles: including design patterns, algorithms, and data structures.

                                                -
                                                • Experience with software development methodologies: Agile, Scrum, or similar.

                                                -
                                                • Familiarity with cloud technologies: AWS, Azure, GCP or similar.

                                                -
                                                • Knowledge of version control systems: Git or similar.

                                                -
                                                -
                                                • Experience with testing and debugging tools.

                                                +
                                                ",,https://jobs.td.com/en-CA/jobs/12176167/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-28T14:39:10.295Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/48604091-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12176167/data-steward-ii-toronto-ca/,expired,2021-01-25T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +6987df2a-1dd8-4a84-88d6-6a87639c24ce,48605646,BenchSci,Machine Learning Engineer - NLP,on_site,"Toronto, ON, Canada",2021-01-25T14:52:22.958Z,"

                                                BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments, eliminating up to 80% of experiments that don't progress treatments to human trials. Backed by F-Prime and Google’s AI fund, Gradient Ventures, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.

                                                We are seeking a Machine Learning Engineer to join our growing R&D team. You will work on complex and challenging NLP problems that will have an impact on the 31,000+ life-scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate and experiment with software engineers, and apply state-of-the-art solutions that will shape the future of scientific discovery.

                                                -

                                                #LI-LP2

                                                -
                                                -
                                                +

                                                You Will:

                                                +
                                                    +
                                                  • Build innovative ML models that enhance the speed and quality of life-saving research
                                                  • +
                                                  • Collaborate with software engineers to solve the complex challenges of extracting insights from the experiments in biomedical data
                                                  • +
                                                  • Continuously improve the performance and scalability of predictive models and ML-Ops pipelines that are at the core of BenchSci’s products
                                                  • +
                                                  • Push the envelope of research in NLP
                                                  • +
                                                  • Regularly investigate what technologies will best enable BenchSci to effectively extract descriptions of biological experiments
                                                  • +
                                                  • Work with BenchSci's Chief Science Officer to correctly capture the nuances of biology
                                                  • +
                                                  • Continuously push to improve your team and their processes
                                                  • +
                                                  • Participate in sprint planning, estimation, and reviews
                                                  • +
                                                  • Take ownership of deliverables, and work with teammates to ensure they are high-quality
                                                  • +
                                                +

                                                You Have:

                                                +
                                                    +
                                                  • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning
                                                  • +
                                                  • Extensive experience with NLP
                                                  • +
                                                  • A degree in computer science with a focus on machine learning, or at least two years of experience in the industry or data science competitions
                                                  • +
                                                  • Strong experience with TensorFlow, PyTorch, scikit-learn, and NLP/Text libraries such as NLTK and Spacy
                                                  • +
                                                  • Experience with data processing frameworks
                                                  • +
                                                  • A constant desire to learn new things and grow with your team
                                                  • +
                                                  • Strong cross-team communication and collaboration skills
                                                  • +
                                                +

                                                Nice to haves, but not mandatory qualifications:

                                                +
                                                    +
                                                  • Research publications in ML/AI-related fields
                                                  • +
                                                  • Experience productionalizing ML models
                                                  • +
                                                  • Background in life science (cell biology, molecular biology, genetics, immunology, microbiology)
                                                  • +
                                                  • Experience in bioinformatics
                                                  • +
                                                  • Experience with computer vision problems
                                                  • +
                                                +

                                                Our benefits and perks:

                                                +
                                                    +
                                                  • A compensation package that includes equity options in the company
                                                  • +
                                                  • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                  • +
                                                  • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                  • +
                                                  • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                  • +
                                                  • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                  • +
                                                  • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                  • +
                                                  • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                  • +
                                                  • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                  • +
                                                  • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                  • +
                                                  • A great benefits package: Including health and dental
                                                  • +
                                                +

                                                Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                ",,https://jobs.lever.co/benchsci/b763be24-cb1a-4c3e-b50f-94d0a08a04b2,aimasters@vectorinstitute.ai,,,,2021-02-08T15:52:00.000Z,False,0,12,84,https://talenthub.vectorinstitute.ai/jobs/48605646-machine-learning-engineer-nlp-at-benchsci,,expired,2021-01-25T14:52:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +2b8a5e4d-b6bb-45cc-bf5c-b9c16823e472,48606247,Canvass Analytics Inc.,AI Solutions Architect,on_site,"Toronto, ON, Canada",2021-01-25T14:56:52.216Z,"

                                                A Leader in Automating Intelligent Industrial Operations

                                                +

                                                Canvass Analytics is disrupting the way industrial operational data is being used to make critical business decisions. The Canvass AI Platform helps transform plant operations, delivering predictive insights that empowers decision-making based on operational data rather than intuition.

                                                -

                                                What\'s in it For You?
                                                You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                +

                                                Canvass is building an AI-powered analytics platform to transform the industrial sector. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                +

                                                The Role

                                                +

                                                You are a skilled AI Architect who has experience in design and development of machine learning, data mining solutions, recommender systems, data warehouse, business intelligence, information visualization, distributed data processing and software design and development. As an AI Architect at Canvass Analytics you will work in cross functional agile teams with other highly skilled engineers, product managers, designers and machine learning engineers to build out the AI ecosystem.

                                                +

                                                Responsibilities & Duties

                                                +

                                                As a member of the Customer Success team, you will work closely with Customer Success, Sales, Engineering and our customers to:

                                                  -
                                                • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                • -
                                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                • -
                                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                • -
                                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                • -
                                                • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                • -
                                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                • +
                                                • Be the trusted solutions advisor for our customers and partners.
                                                • +
                                                • Own customer-related technical activities and relationships as part of production implementation, and adoption, and lead end-to-end solution design.
                                                • +
                                                • Communicate effectively with a diverse audience of internal and external stakeholders consisting of engineers, business people, partners, and executives.
                                                • +
                                                • Translate business cases and requirements into value based technical solutions through the architecture of AI workflows and systems from data ingestion to model deployment.
                                                • +
                                                • Demonstrate AI solutions with engaging storytelling and technical accuracy.
                                                • +
                                                • Architect, design, and deliver AI solutions quickly to demonstrate Proof of Concepts/Value.
                                                • +
                                                • Gather customer feedback so that you can work with the Canvass Engineering and Product teams to further enhance our platform.
                                                • +
                                                • Work in a collaborative and agile team environment with changing and ambiguous requirements.
                                                -

                                                -

                                                -

                                                -

                                                -

                                                -


                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                -

                                                -

                                                We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                -

                                                -

                                                Accessibility

                                                -

                                                -

                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                -

                                                -

                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                -

                                                -

                                                -

                                                Protect yourself from fraudulent job postings click here to know more.

                                                -

                                                -

                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                -
                                                ",,https://careers.thomsonreuters.com/us/en/job/JREQ182488/Lead-Software-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-10T08:32:02.891Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/343661292-lead-software-engineer-at-thomson-reuters,,expired,2024-09-26T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -ecb18de2-af6e-473c-97dd-0b961bb0b0c0,344243205,Accenture,Data Lead,on_site,"Toronto, ON, Canada",2024-09-30T08:44:01.916Z,"
                                                -

                                                Job Description

                                                -
                                                -

                                                We are:
                                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds.

                                                -


                                                You are:
                                                A hands-on Solution Architect who knows how to develop, design, and maintain technologies that work for our clients. You are a next-generation thinker when it comes to what we call Data in the New. Your superpower Using the latest data and analytics technologies to help clients glean the most value from their data. And you know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. You’re a digital native who’s right at home when the challenge calls for teamwork and originality.

                                                -

                                                -

                                                What You’ll Do:

                                                +

                                                Requirements

                                                  -
                                                • Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes
                                                • -
                                                • Design and build robust data pipelines using scalable tools and techniques (yes, we’re talking big data) to produce high quality data structures
                                                • -
                                                • -Design data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholder.
                                                • -
                                                • Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks
                                                • -
                                                • Increase automation and scaling of complex data sets based on the customer’s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations
                                                • -
                                                show more show less
                                                -
                                                -
                                                -

                                                Qualifications

                                                -
                                                -
                                                -

                                                What You’ll Need:

                                                -
                                                • Minimum 8 years of experience in Technology Delivery and Architecture
                                                • Minimum 5 years of experience delivering Data & Analytics solutions on Azure/ AWS, with expertise in Azure/ AWS data services, ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS, AWS Redshift, AWS CloudFront, or Google
                                                • Minimum 3 years of experience developing Data Platforms on Spark/Hadoop, ETL, Data Analytics Cloud Native Data Services
                                                • Experience developing or migrating Spark workloads
                                                • Strong hands-on experience in building data pipelines e.g. Spark, Kafka
                                                • -
                                                -

                                                -

                                                English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement

                                                -


                                                Bonus Points:

                                                -
                                                • Previous consulting or client service delivery experience.
                                                • -
                                                -
                                                • Effective and persuasive in both written and oral communication.
                                                • +
                                                • 7+ years of relevant industry experience with a focus on providing architectural and AI solutions.
                                                • +
                                                • Excellent understanding of system engineering concepts and good command of working in Linux based environments.
                                                • +
                                                • Good understanding of the cloud ecosystem; preferably Azure.
                                                • +
                                                • Experience in machine learning, AI or a related field.
                                                • +
                                                • Experience with Python.
                                                • +
                                                • Possession of skills needed to help sell software and solutions through articulating value rather than just features and functions.
                                                • +
                                                • Ability to explain a complicated subject in a clear and understandable manner.
                                                • +
                                                • Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
                                                • +
                                                • Demonstrated experience working with big data use-cases to manipulate data and draw insights, as well as an understanding of standard design patterns commonly used.
                                                +

                                                Apply for this position

                                                +

                                                Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther WebsiteSubmit Application

                                                +

                                                Why join Canvass?

                                                +

                                                Canvass Analytics is using AI to automate operations for the industrial sector. We are changing the way the industry thinks about and uses AI, and it’s getting noticed everywhere.

                                                +

                                                +

                                                We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startup and by the Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                +

                                                +

                                                What's it like working at Canvass? This is a place where everyone is all-in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We appreciate the efforts, innovation and results of our team.

                                                +

                                                Apply now!

                                                +

                                                Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                +

                                                +

                                                Follow us on Twitter or LinkedIn to learn more about us!

                                                ",,https://www.canvass.io/ai-solutions-architect-job,aimasters@vectorinstitute.ai,,,,2021-02-24T15:00:17.215Z,False,0,2,35,https://talenthub.vectorinstitute.ai/jobs/48606247-ai-solutions-architect-at-canvass-analytics-inc,,expired,2021-01-25T14:56:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +f6d32256-62c1-47b1-aebe-5c060ed440df,48609386,RBC,"Data Scientist, Summer 2021 Student Opportunities (8 Months Only)",on_site,"Toronto, ON, Canada",2021-01-25T15:41:32.522Z,"

                                                What is the opportunity?
                                                Who wouldn't want to be a part of a fantastic team of Data Scientists? At RBC, our Data Science teams offer the opportunity to leverage RBC’s data assets to develop innovative solutions in support of RBCs big data strategy. This position is an essential part to the bank as you develop next-generation applications to meet our customers’ needs. By joining the RBC team as a Data Scientist, you will have the opportunity to analyze, design and implement data solutions to assist all business customers.

                                                -

                                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                                -

                                                Information on benefits is here.

                                                -

                                                Role Location Annual Salary Range

                                                -

                                                British Columbia $89,500 to $204,100

                                                -

                                                -

                                                -

                                                #LI-NA
                                                #LI-MP

                                                -
                                                -

                                                Locations

                                                -
                                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto
                                                -
                                                -
                                                -

                                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                                -
                                                -

                                                Our Commitment to Inclusion & Diversity

                                                -

                                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                -

                                                Requesting An Accommodation

                                                -

                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                -

                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                -

                                                Other Employment Statements

                                                -

                                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                -

                                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                -
                                                -
                                                -
                                                Share
                                                -
                                                Share
                                                -
                                                Job Link:
                                                Copy
                                                -
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                                                -
                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00225550_en&title=Data%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-10T08:49:02.488Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/344243205-data-lead-at-accenture,,expired,2024-09-30T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -c271ce2d-ce69-4922-9efc-218e7bf78f1d,342896318,Cohere AI,"Staff Research Engineer, Model Efficiency",on_site,"Toronto, ON, Canada",2024-09-20T16:41:02.092Z,"
                                                -
                                                Who are we?
                                                -
                                                Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                -

                                                -
                                                We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                -

                                                -
                                                Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                -

                                                -
                                                Join us on our mission and shape the future!
                                                -

                                                -
                                                Why this role?
                                                -
                                                Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The mission of the model efficiency team is pushing the limits of LLM serving efficiency of our foundation models with techniques such as model architecture optimization, efficient algorithms, and software/hardware co-optimization.
                                                -

                                                -
                                                As a Staff Research Engineer in the model efficiency team, you will develop innovative solutions to boost the performance of LLM inference.
                                                -

                                                -
                                                -Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. -
                                                -
                                                -
                                                -

                                                You may be a good fit for the model efficiency team if you:

                                                -
                                                    -
                                                  • Have a PhD in Machine Learning or a related field
                                                  • -
                                                  • Understand LLM architecture, and how to optimize LLM inference given resource constraints
                                                  • -
                                                  • Have significant experience with one or more techniques that enhance model efficiency
                                                  • -
                                                  • Have strong software engineering skills
                                                  • -
                                                  • Have an appetite to work in a fast-paced high-ambiguity start-up environment
                                                  • -
                                                  • Published and presented at top-tier conferences and venues (ICLR, ACL, NeurIPS)
                                                  • -
                                                  • Are passionate about mentoring others
                                                  • -
                                                -
                                                -
                                                -
                                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                -

                                                -
                                                -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                                                -

                                                -
                                                Our Perks:
                                                -
                                                🤝 An open and inclusive culture and work environment
                                                -
                                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                -
                                                🍽 Weekly lunch stipend, in-office lunches & snacks
                                                -
                                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                -
                                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                -
                                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                -
                                                🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                -
                                                ✈️ 6 weeks of vacation
                                                -

                                                -
                                                Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                -
                                                ",,https://jobs.lever.co/cohere/b79535dc-5285-44b0-9bf2-7b9c01182ae6,feed-importer@jobboard.io,,,,2024-10-14T16:46:04.072Z,False,0,8,38,https://talenthub.vectorinstitute.ai/jobs/342896318-staff-research-engineer-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/b79535dc-5285-44b0-9bf2-7b9c01182ae6,expired,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,PhD,New Posting, -ee78d287-3778-4f33-8c07-b7697cdc7df4,345766011,CIBC,AI and Data Science,on_site,"Ontario, Canada",2024-10-10T10:04:02.496Z,"
                                                -

                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                -

                                                -

                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                -

                                                -

                                                To learn more about CIBC, please visit CIBC.com

                                                -

                                                -

                                                -

                                                What You will Be Doing

                                                -

                                                The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                                                -

                                                -

                                                With your defined practical experience in the domain of Advanced Data Science, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                                                -

                                                -

                                                At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                -

                                                -

                                                How You’ll Succeed

                                                +

                                                Please only apply if you are available for 8 months.

                                                +


                                                What will you do?

                                                  -
                                                • Data Science Expertise- Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                • -
                                                • Analytical Partner- You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                                                • -
                                                • Ignite innovation, drive actions- Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                                                • +
                                                • Utilize the latest technologies available, designing and building data solutions to meet business needs
                                                • +
                                                • Be an active contributor to not only your individual team, but to the RBC development community
                                                • +
                                                • Constantly seek out better ways to do things, new tools, new technologies, new processes
                                                • +
                                                • Work on transformational projects delivering new value
                                                • +
                                                • Work as part of an agile team responsible for end-to-end delivery of business needs
                                                • +
                                                • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
                                                • +
                                                • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
                                                • +
                                                • Promote analytics across the enterprise to enable RBC to become a data-driven organization

                                                -

                                                Who You Are

                                                +

                                                What do you need to succeed?

                                                Must-have:

                                                  -
                                                • You can demonstrate experience in Predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                                                • -
                                                • You understand advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                                                • -
                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                • -
                                                • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                                                • -
                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                • +
                                                • Programming skills in one or more of the following languages: Python or R
                                                • +
                                                • Experience utilizing SQL scripts/querying
                                                • +
                                                • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
                                                • +
                                                • Ability to data extract, transform, and load processes with a variety of data types
                                                • +
                                                • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                  +
                                                -

                                                -

                                                What CIBC Offers

                                                -

                                                -

                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                +

                                                Nice to have:

                                                +
                                                • Experience with big data technologies, primarily in machine learning and statistics function
                                                  -
                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                • -
                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                • -
                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                • +
                                                • Exposure to Apache Spark, Hadoop and Public Cloud technologies, data serialization (JSON, Avro, Parquet, ORC)
                                                • +
                                                • Experience with big data processing tools like Spark and Hive, GitHub functionality and workflow experience/exposure
                                                • +
                                                • Experience with messaging (Kafka, Solace, RabbitMQ) & working on Agile projects
                                                -

                                                -

                                                *Subject to plan and program terms and conditions

                                                -

                                                What you need to know

                                                +

                                                What’s in it for you?
                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. Visit people.rbc.com

                                                  -
                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                • -
                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                • -
                                                • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                • +
                                                • Continued career advancement opportunities
                                                • +
                                                • Exposure to strong mentorship and leadership examples
                                                • +
                                                • A world-class training program in financial services
                                                • +
                                                • Opportunities to be a valuable member of a close-knit, collaborative team that encourages networking
                                                • +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                • +
                                                • Competitive compensation

                                                +

                                                We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                +

                                                +

                                                While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                +

                                                TAD2021

                                                -

                                                -

                                                Job Location

                                                Toronto-81 Bay, 21st Floor

                                                -

                                                Employment Type

                                                Regular

                                                -

                                                Weekly Hours

                                                37.5

                                                -

                                                Skills

                                                Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-14T10:09:03.511Z,False,0,9,33,https://talenthub.vectorinstitute.ai/jobs/345766011-ai-and-data-science-at-cibc,,expired,2024-10-10T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -506ec7bf-b001-414c-b4a4-f962acc0371b,39246444,Clearpath,Autonomy Engineer - Navigation,on_site,"Kitchener, ON, Canada",2020-09-08T13:14:26.596Z,"

                                                About Clearpath Robotics Inc.

                                                -

                                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                -

                                                About OTTO™ Motors

                                                -

                                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com/

                                                -

                                                About the Job

                                                -

                                                Clearpath's OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms for navigation, collaboration, and control - all with an emphasis on robust and reliable best practice programming. We're looking for people excited to develop the core software for fleets of multi-ton robots, find optimal routes through the most complex work environments around the world, and safely balance millimeter tracking accuracy with maximum driving performance.

                                                -

                                                The navigation team’s primary responsibility is robotics software development, testing, and support. You will be responsible for identifying opportunities to improve our self-driving capabilities, selecting the best research and/or industry algorithms to employ, and developing high-performance implementations that expand our core autonomy software. As part of the team, your input will be integral for reviewing and supporting the designs, implementations, and tests developed by other autonomy engineers. Finally, as part of OTTO, we work closely with both industry and academia, where you’ll have the opportunity to collaborate with our partners and see your ideas making a measurable difference in the world.

                                                -

                                                Your primary responsibilities will be:

                                                +

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                JOB SUMMARY
                                                City: Virtual
                                                Address: Virtual
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: [[filter7]]
                                                Career Level: Student Job
                                                Application Deadline: 03/14/2021
                                                Platform: Technology and Operations

                                                Req ID: 295741
                                                Ad Code(s):

                                                ",,https://jobs.rbc.com/ca/en/job/295741/Data-Scientist-Summer-2021-Student-Opportunities-8-Months-Only,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2021-02-24T15:41:00.000Z,False,0,18,91,https://talenthub.vectorinstitute.ai/jobs/48609386-data-scientist-summer-2021-student-opportunities-8-months-only-at-rbc,,expired,2021-01-25T15:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +6d1850ce-3306-42a3-b88b-c06fe529d3f1,48616666,Google,"Quantitative Business Analyst, Analytics and Decision Support, YouTube",on_site,"Toronto, ON, Canada",2021-01-25T19:59:13.462Z,"

                                                Minimum qualifications:

                                                  -
                                                • Developing collaboration, navigation, and control software
                                                • -
                                                • Testing/reviewing software for reliability/performance
                                                • -
                                                • Conducting research projects to expand our capabilities
                                                • -
                                                • Supporting deployment, product, and testing teams
                                                • +
                                                • Bachelor's degree in Statistics, Computer Science, Physics, Engineering, or equivalent practical experience.
                                                • +
                                                • 3 years of experience in manipulating data sets and conducting data analysis using SQL and Python.
                                                • +
                                                • Experience creating executive communications (e.g. memos, slide decks, etc.) and presenting to non-technical/analytics audiences.
                                                • +
                                                • Experience in ambiguous work environments with tight deadlines.
                                                -

                                                Additional tasks may include:

                                                +

                                                Preferred qualifications:

                                                  -
                                                • Collaborating with academic/industry partners
                                                • -
                                                • Mentoring and assisting with supervision of interns
                                                • -
                                                • Writing research papers for academic publication
                                                • -
                                                • Explaining our newest shiny toys to sales & marketing
                                                • +
                                                • Master’s in a quantitative discipline (e.g. Business Analytics, Statistics, Computer Science, Economics, Math, Physics, Engineering)
                                                • +
                                                • Experience designing data models or table schema.
                                                • +
                                                • Experience in application of machine learning like supervised/unsupervised learning, forecasting, predictive modeling etc.
                                                • +
                                                • Experience working in consulting, direct to consumer or similar industries.
                                                • +
                                                • Experience working with multiple functions/domains and managing end to end projects.
                                                -

                                                About You

                                                -

                                                You want to work for a company that thinks big and dreams huge. You are driven, here to make a difference, and never satisfied with work left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and thrive on challenging, rewarding problems.

                                                -

                                                Required Technical Skills:

                                                +

                                                About the job

                                                +

                                                As a Quantitative Business Analyst within Analytics and Decision Support, you will be part of a community of technical data analysts who work on impactful projects analyzing the content and distribution partnerships, the creator and user ecosystem, and monetization to guide business leadership on optimizing the effectiveness and efficiency of our partner, operations, and revenue-facing business teams.

                                                +

                                                You will work on strategic business challenges revolving around the economics of YouTube’s Content Business. You will provide careful analytical support for the business teams, including performance measurement, causal impact, estimation, predictive modeling, and metric definition; all leading to better data-driven business recommendations. You will be a leader and communicator presenting insights to leadership across the business organization.

                                                +

                                                At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

                                                +

                                                Responsibilities

                                                  -
                                                • Graduate degree in engineering or a related field, with applicable background
                                                • -
                                                • Practical knowledge in two or more areas of: path planning, motion planning, mobile robot control, vehicle modelling, and multi-agent systems
                                                • -
                                                • Strong software development skills in Modern C++
                                                • -
                                                • Proficiency with Linux
                                                • -
                                                • Hands-on experience with autonomous systems
                                                • +
                                                • Act as a thought leader in the creation of planning, strategy, objectives, and key results, and Key Performance Indicators (KPIs) development for your business domain. Make strategic and operational recommendations to achieve goals.
                                                • +
                                                • Work cross-functionally with business leaders, Marketing, Operations, and Product teams in order to identify opportunities, design, and assess improvements to YouTube’s business.
                                                • +
                                                • Make business recommendations, conveying findings at multiple levels including executive leadership, managers, and peers through visual displays of quantitative information.
                                                • +
                                                • Manage larger strategic and cross-functional initiatives both on an on-going basis and on an ad-hoc basis.
                                                • +
                                                • Conduct non-routine analyses, including data gathering, processing, analysis employing advanced statistical and ML methods, with ongoing deliverables to improve the quality of Insights teams.
                                                • +
                                                ",,https://careers.google.com/jobs/results/123378195698197190-quantitative-business-analyst-analytics-and-decision-support-youtube/?location=Canada&sort_by=date,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-02-16T17:59:00.000Z,False,0,18,108,https://talenthub.vectorinstitute.ai/jobs/48616666-quantitative-business-analyst-analytics-and-decision-support-youtube-at-google,,expired,2021-01-25T19:59:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +75f76353-d865-4d77-8929-48d6363ab2c7,48882319,Thomson Reuters,Software Engineer,on_site,Toronto-Ontario-Canada,2021-01-28T14:54:42.217Z,"
                                                +Job Description

                                                As a member of the Thomson Reuters’ Audit Technology team, you will work to build the next generation of our Confirmation product. You will influence new technical solutions, processes, and methodologies.

                                                +

                                                +

                                                Within our agile team, you will be developing new features and enhancing the infrastructure of Confirmation – a popular system for audit and verification of deposit use cases. This work will involve delivering new code, deploying services to our cloud infrastructure, and learning about how we build with regard for architectural cleanliness. You are empowered to try new approaches and learn new technologies. Your work will benefit customers who need to find save time and yet also feel guaranteed they are not making errors as a result.

                                                +

                                                +

                                                About the Role

                                                +

                                                In this opportunity as a Software Engineer, you will:

                                                +
                                                  +
                                                • Develop and Deliver: applying modern development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high quality solutions

                                                • +
                                                • Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross functional and remote teams

                                                • +
                                                • Be an Agile Person: with strong sense of urgency and a desire to work in a fast-paced dynamic environment, you will deliver solutions against strict timelines

                                                • +
                                                • Be Innovative: you are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries

                                                • +
                                                • Be an Effective Communicator: through active engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments

                                                • +
                                                +

                                                +

                                                About You

                                                +

                                                You’re a fit for the role of a Software Engineer, if you:

                                                +
                                                  +
                                                • Have a fundamental understanding of the SDLC and hands-on experience in one or more programming languages (C# OR Java)

                                                • +
                                                • Understand REST API development and best practices.

                                                • +
                                                • Thrive in a positive, collaborative environment with your great communication skills. You believe in the value of iterating together toward a common goal and may have worked in an agile environment to do so.

                                                • +
                                                • Are eager to learn new technologies but also want to understand the business problems we are trying to solve.

                                                • +
                                                • Have a bachelor’s degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.

                                                • +
                                                +

                                                +

                                                What’s in it For You

                                                +

                                                At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                +
                                                  +
                                                • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                • +
                                                • Flexible work arrangements, comprehensive health coverage that’s effective day one

                                                • +
                                                • Perks: Social events & activities, employee discount programs

                                                • +
                                                +

                                                +

                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                +

                                                +

                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                +

                                                +

                                                Accessibility

                                                +

                                                +

                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                +

                                                +

                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                +

                                                +

                                                More information about Thomson Reuters can be found on thomsonreuters.com.

                                                +

                                                Locations
                                                Toronto-Ontario-Canada
                                                ",,https://jobs.thomsonreuters.com/ShowJob/Id/490010/Software-Engineer/,feed-importer@jobboard.io,,,,2021-02-11T14:59:57.789Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/48882319-software-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/490010/Software-Engineer/,expired,2021-01-28T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, +97789eed-7d40-47e5-b7dd-4666709fe6cc,49344513,Layer 6,Machine Learning Scientist ☑️,on_site,"Toronto, ON, Canada",2021-02-01T14:43:11.224Z,"

                                                Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                +

                                                Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                +

                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                +

                                                Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                +

                                                As a machine learning scientist, you will

                                                +
                                                  +
                                                • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                • +
                                                • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                • +
                                                • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                • +
                                                • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                -

                                                Desired Soft Skills:

                                                +

                                                Required Qualifications

                                                  -
                                                • Ability to efficiently and clearly communicate ideas, including to those who may have a limited theoretical background in the area
                                                • -
                                                • Ability to reliably plan and estimate development time requirements
                                                • -
                                                • A learning mindset and positive attitude
                                                • -
                                                • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                                • +
                                                • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                • +
                                                • Strong background in machine learning
                                                • +
                                                • 5+ years of research experience with publication record
                                                • +
                                                • Proven track record of applying machine learning to solve real-world problems
                                                -

                                                Bonus points for:

                                                +

                                                Preferred Qualifications

                                                  -
                                                • ROS experience
                                                • -
                                                • Strong Python / Lua skills
                                                • -
                                                • Experience with the control of differential drive, bicycle, and tricycle ground vehicles
                                                • -
                                                • Understanding of sensors and their error models, particularly laser rangefinders, GPS systems, and vision systems
                                                • +
                                                • Experience with deep learning and/or collaborative filtering
                                                • +
                                                • Hands on experience in software systems development and SaaS applications
                                                • +
                                                • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                • +
                                                • Experience using GPUs for accelerated deep learning training
                                                • +
                                                • Familiarity with AWS
                                                -

                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                ",,https://clearpathrobotics.com/robotics-careers/job-page/?p=job%2FobKCbfws,aimasters@vectorinstitute.ai,https://clearpathrobotics.com/robotics-careers/,,,2020-10-02T21:53:00.000Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/39246444-autonomy-engineer-navigation-at-clearpath,,expired,2020-09-08T13:14:00.000Z,admin,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,Re-Posting an Expired Job, -d0f22193-3ad4-4b2e-a37d-b7d1c7844840,39246479,Borealis AI,Infrastructure Engineer ☑️,on_site,"Toronto, ON, Canada",2020-09-08T13:34:28.497Z,"

                                                What's the opportunity?

                                                -

                                                We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                -

                                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                -

                                                Your responsibilities include:

                                                +

                                                Benefits

                                                  -
                                                • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;
                                                • -
                                                • Designing, building, and optimizing comprehensive automation systems that operate the business’s web, mobile and data infrastructure platforms;
                                                • -
                                                • Deploying and managing cloud services on AWS, Azure, etc.;
                                                • -
                                                • Leveraging modern tools to define, build, and manage virtual infrastructure in the cloud (primarily on AWS);
                                                • -
                                                • Configuring automated service deployments with tools such as Ansible, Puppet, Chef or similar;
                                                • -
                                                • Collaborating with engineers, and machine learning researchers to consolidate ML frameworks and to automate code analysis, build, and integration.
                                                • +
                                                • Entrepreneurial and inclusive culture
                                                • +
                                                • Excellent health coverage
                                                • +
                                                • Four weeks paid vacation
                                                • +
                                                • Catered lunches twice a week over machine learning talks
                                                • +
                                                • Opportunities to collaborate with faculty at the Vector Institute
                                                • +
                                                ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-03-03T14:43:12.629Z,False,6,0,142,https://talenthub.vectorinstitute.ai/jobs/49344513-machine-learning-scientist-at-layer-6,,expired,2021-02-01T14:43:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, +045f01ca-225e-4bcc-93d9-e2f4e6b025a2,49383513,RBC,"Manager, Analytics",on_site,"Toronto, Ontario, Canada",2021-02-01T21:36:19.855Z,"
                                                +

                                                What is the opportunity?

                                                +

                                                RBC is currently recruiting for the exciting role of Manager, Analytics. In this role, you will work directly with Product and Marketing business partners to fulfill the following critical roles:

                                                +
                                                  +
                                                • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
                                                • +
                                                • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
                                                -

                                                You're our ideal candidate if you have:

                                                +

                                                +

                                                What will you do?

                                                  -
                                                • Strong and relevant experience designing and implementing distributed systems;
                                                • -
                                                • Hands-on experience building and deploying virtualized environments in major cloud environments, such as AWS and Azure;
                                                • -
                                                • Solid understanding of the UNIX operating system;
                                                • -
                                                • Proficiency with scripting languages, such as Bash, Python, or JavaScript;
                                                • -
                                                • Experience automating infrastructure, testing, and deploying cloud applications with tools such as Ansible, Jenkins, etc.;
                                                • -
                                                • Experience with monitoring and alerting solutions, like ELK stack and CloudWatch;
                                                • -
                                                • Experience on Jenkins, including setting up Jenkins pipelines to enable CI/CD.
                                                • +
                                                • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
                                                • +
                                                • Manage the process of defining RBC product universe, specifying success measures, testing hypotheses, and communicating value-added observations towards refined strategy and effective implementation of win-win solutions.
                                                • +
                                                • Bring data analyses to bear on the development of RBC product branding.
                                                • +
                                                • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics, participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
                                                -

                                                It would be great if you also have:

                                                +
                                                • Increase the standardization and efficiency of the daily/ monthly/ quarterly/ annual reporting.
                                                  -
                                                • Production software development experience;
                                                • -
                                                • Development, deployment, or maintenance of machine learning applications;
                                                • -
                                                • Implementing monitoring solutions to identify and implement system bottlenecks and production issues;
                                                • -
                                                • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                  -
                                                • +
                                                • Influence the approach to answering business questions with deep RBC product insights.
                                                • +
                                                • Manage day-to-day workflow and negotiate realistic timelines. Ensure compliance and privacy guidelines are strictly adhered to.
                                                • +
                                                • Learn and apply new businesses, techniques, and ideas.
                                                -

                                                What's in it for you?

                                                +

                                                +

                                                What do you need to succeed?

                                                +

                                                Must-have:

                                                  -
                                                • Become part of a team that thinks progessively and works collaboratively. We care about seeing each other reach full potential;
                                                • -
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                • -
                                                • Leaders who support your development through coaching and managing opportunities;
                                                • -
                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                • +
                                                • Solid working experience with very large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query, Queryman.
                                                • +
                                                • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments and ability to learn a new software or computer language in a short period of time.
                                                • +
                                                • Advanced SAS programming dealing with large data sets.
                                                • +
                                                • Attention to detail and applied data validation mechanisms.
                                                • +
                                                • At least 3 years working experience with financial products and services and their corresponding data.
                                                • +
                                                • Minimum successfully-completed undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
                                                -

                                                About Borealis AI

                                                -

                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                -

                                                -

                                                Inclusion and Equal Opportunity Employment

                                                -

                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                ",mi.research@rbc.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-10-11T12:51:00.000Z,False,2,0,29,https://talenthub.vectorinstitute.ai/jobs/39246479-infrastructure-engineer-at-borealis-ai,,expired,2020-09-08T13:34:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, -42d7773c-9f2c-41ab-9d5d-e99deab794fc,39246920,TD Bank Group,Cloud Data Security Specialist,on_site,"Toronto, ON, Canada",2020-09-08T17:38:22.584Z,"

                                                Company Overview

                                                -

                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                -

                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                -

                                                -

                                                Department Overview

                                                -

                                                Headquartered in Toronto, Canada, with more than 85,000 employees in offices around the world, The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth-largest bank in North America by branches offering a full range of financial products and services to approximately 24 million customers worldwide through three key business lines:
                                                • Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance (Canada), TD Wealth (Canada), TD Direct Investing and TD Insurance

                                                -

                                                • U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in TD Ameritrade

                                                -

                                                • Wholesale Banking including TD Securities

                                                -

                                                TD also ranks among the world’s leading online financial services firms, with approximately 10 million active online and mobile customers and had CDN$1.1 trillion in assets on July 31, 2015. Our mission is to give our clients the best banking experience possible, every day. To do that, we depend on our team of talented, ambitious people who share our passion for excellence.
                                                Join the innovators of TD Technology.

                                                -

                                                We know that tech is constantly evolving, and we’re committed to growing with it, right across the board. Our Technology Solutions team works closely with each department at TD to create the platforms, applications, and ideas that shape the future of our business – and yours. We’re reimagining the way people think about their banking, every single day. This is your opportunity to impact the future of banking technology.

                                                -

                                                -

                                                Job Description

                                                -

                                                II. The opportunity.

                                                -

                                                Our new Cloud Security Data Engineering practice focuses on providing architect design for security cloud data pipelines. This involves a series of data flow stages that aim to improve and maintain development and production while emphasizing the importance of security for our organization and customers.
                                                As our Cloud Security Data Engineer, you will be a subject matter expert in the following areas:
                                                • Architect, create and maintain data pipelines
                                                • Secure data travelling through pipelines using modern, automated transformation and obfuscation techniques
                                                • Define and govern metadata elements for large data sets which will be leveraged by data-protection tooling to determine the appropriate protection techniques
                                                • Refine and optimize data science, machine learning models and algorithms to improve production efficiencies

                                                -

                                                What does it entail?

                                                -

                                                More specifically, the Cloud Security Data Engineer will:

                                                -

                                                • Work on modern data preparation, integration and AI-enabled metadata management tools and techniques
                                                • Architect and govern data consumption patterns for consumers to ensure both the security and performance of business applications
                                                • Govern and monitor schema changes for datasets.
                                                • Evaluate new and emerging data ingestion technologies such as streaming and microservice orchestration
                                                • Collaborate with our data science teams and business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements
                                                • Monitor new data best practices while ensuring it’s shared with teams appropriately and implemented where needed
                                                • Understand and comply with TD’s governance and compliance initiative to ensure data users and consumers use the data provisioned to them responsibly

                                                +

                                                Nice-to-have:

                                                +
                                                  +
                                                • Knowledge of Teradata or DB2 is definite asset.
                                                • +
                                                • Demonstrated leadership in cross-functional environment.
                                                • +
                                                • Experience with developing reports using OLAP tools.
                                                • +
                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                +
                                                  +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                • +
                                                • Ability to make a difference and lasting impact
                                                • +
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • +
                                                +
                                                • Opportunities to take on progressively greater accountabilities.
                                                +

                                                +

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                +

                                                +

                                                +

                                                JOB SUMMARY

                                                +

                                                City: Toronto
                                                Address: 88 Queens Quay W
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Position Level: PL08
                                                Required Travel(%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 02/10/2021
                                                Req ID: 317037

                                                +

                                                Ad Code(s):

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/317037/Manager-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-02-11T21:42:10.136Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/49383513-manager-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/317037/Manager-Analytics,expired,2021-02-01T21:36:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +13dc58a5-c4b1-4458-94a6-25fad75802e4,59846675,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-26T19:44:12.652Z,"
                                                +

                                                Job Type: Permanent
                                                Primary Location: Toronto, Ontario, Canada
                                                All Available Locations: Ottawa; Toronto; Vancouver

                                                +

                                                Partner with clients to solve their most complex business problems
                                                Be encouraged to deepen your technical skills…whatever those may be
                                                Lead projects and teams to make an impact that matters

                                                +
                                                +
                                                +
                                                +
                                                +

                                                +

                                                Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                +
                                                +
                                                +
                                                +

                                                What will your typical day look like?

                                                +

                                                +

                                                As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                                +
                                                +
                                                +
                                                +

                                                About the team

                                                +

                                                +

                                                Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                +
                                                +
                                                +
                                                +

                                                Enough about us, let’s talk about you

                                                +

                                                +
                                                +

                                                You are someone with:

                                                +
                                                • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                                • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                                • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                                • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                                • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                                • +
                                                +
                                                +
                                                +
                                                +

                                                Why Deloitte?

                                                +

                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                +
                                                • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                • +
                                                +


                                                The next step is yours

                                                +

                                                Sound like The One Firm. For You?

                                                +

                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                +

                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                +

                                                +

                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,feed-importer@jobboard.io,,,,2021-05-27T17:40:28.513Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/59846675-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-04-26T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +2659f881-9b2f-4244-b8d9-5931cde33cdd,59860812,RBC,"Senior Manager, Business Intelligence & Information Management",on_site,"Toronto, Ontario, Canada",2021-04-26T21:51:02.700Z,"
                                                +
                                                +

                                                .

                                                +

                                                What is the opportunity?

                                                +

                                                RBC Regional Banking Support’s BFS Reporting is hiring a Senior Manager, Business Intelligence & Information Management role that will lead strategic reporting and visual insights for Regional Banking’s BFS by successfully transforming data into useful, relevant information, and by leveraging sound business knowledge, additional sources of information, and resources to deliver insight to the BFS field. The position plays a leadership role in driving strategic, timely, and accurate insights to business partners and senior leaders in a BFS banking environment, alongside key technology partners.

                                                +

                                                +

                                                What will you do?

                                                +
                                                  +
                                                • Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk
                                                • +
                                                • Design and develop innovative reporting solutions to monitor performance management, present key analytical and business insights to underlying drivers in support of the BFS advisors and leaders on client and coaching insights to drive an exceptional client experience
                                                • +
                                                • Take end to end responsibility in the development of performance metrics and reporting in Tableau
                                                • +
                                                • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration and optimization, providing recommendations on approach and execution
                                                • +
                                                • Identify appropriate data sources and perform Extract/Transform/Load (ETL) for data modelling, data quality assessments, understand patterns and provide the basis to inform the reporting solution which provides meaningful performance management insights
                                                • +
                                                • Participate in conversations with internal partners to understand their business strategies (role design, incentive, practice management and portfolio quality) and objectives in order to define/recommend reporting solutions to meet those objectives, effectively communicate project status and develop relationships to ensure satisfaction
                                                • +
                                                • Participate in design and solution review demonstrations with internal partners at critical tollgates to ensure adherence to requirements, resolve obstacles, while mitigating deployment risk and the need for post-deployment modifications
                                                • +
                                                • Apply standard design principles and advanced data visualization techniques to measure key indicators, disclose trends, provide proactive actionable insights/indicators and address business questions
                                                • +
                                                +

                                                +

                                                What do you need to succeed?
                                                Must-have

                                                +
                                                  +
                                                • Ability to perform complex data analysis on large volumes of data and present findings to senior leaders in order to inform strategic decisions
                                                • +
                                                • Demonstrated ETL and big data modeling capabilities, with programming experience in large databases/datasets and using SAS, SQL Server and Teradata SQL Assistant
                                                • +
                                                • Advanced proficiency in developing reports using Tableau
                                                • +
                                                • Deep data knowledge on RBC’s EDW
                                                • +
                                                • Experience in statistical methods, strong data profiling, cleaning, and mining
                                                • +
                                                • UNIX knowledge (i.e. submit process, create logs, store data)
                                                • +
                                                +

                                                Nice-to-have

                                                +
                                                  +
                                                • Financial Services Industry/Business Financial Services knowledge
                                                • +
                                                • Experience in developing performance metrics/reports
                                                • +
                                                • Programming/coding skills in Python and Hadoop (HIVE) and Datameer
                                                • +
                                                • Strong understanding of Cloud computing technologies
                                                • +
                                                +

                                                +

                                                What’s in it for you?

                                                +

                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                +
                                                  +
                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                • +
                                                • Leaders who support your development through coaching and managing opportunities
                                                • +
                                                • Ability to make a difference and lasting impact
                                                • +
                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                • +
                                                • Opportunities to do challenging work and take on progressively greater accountabilities
                                                • +
                                                +
                                                +

                                                Join our Talent Community
                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                +

                                                +

                                                +

                                                JOB SUMMARY

                                                +

                                                City: Toronto
                                                Address: 88 Queens Quay West
                                                Work Hours/Week: 37.5
                                                Work Environment: Office
                                                Employment Type: Permanent
                                                Career Level: Experienced Hire/Professional
                                                Pay Type: Salaried
                                                Required Travel (%): 0-25
                                                Exempt/Non-Exempt: N/A
                                                People Manager: No
                                                Application Deadline: 05/07/2021
                                                Req ID: 351441

                                                +

                                                Posting Notes:

                                                +
                                                ",,https://jobs.rbc.com/ca/en/job/351441/Senior-Manager-Business-Intelligence-Information-Management,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-05-19T21:10:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/59860812-senior-manager-business-intelligence-information-management-at-rbc,https://jobs.rbc.com/ca/en/job/351441/Senior-Manager-Business-Intelligence-Information-Management,expired,2021-04-26T21:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +fed037da-fae0-4e77-be54-2d976fcd45d7,60240390,Scotiabank,"Manager, Data Analytics / Business Transformation and Analytics / Small Business",on_site,"Toronto, ON, Canada",2021-04-28T17:51:25.013Z,"

                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                -

                                                Requirements

                                                -

                                                • At least 6+ years of work experience in data management disciplines including data integration, modelling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
                                                • At least 3+ years of experience working in cross-functional teams and collaborating with business stakeholders in Microsoft Azure in support of a departmental and/or multi-departmental data management and analytics initiative
                                                • Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala and others
                                                • Working ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
                                                • Solid experience working with popular database programming languages including SQL, PL/SQL and others for relational databases and certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra and others for nonrelational databases
                                                • Proven work experience tackling large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies such as ETL/ELT, data replication/CDC, message-oriented data movement, API design and access and upcoming data ingestion and integration technologies such as stream data integration, CEP and data virtualization
                                                • Proficient working with SQL on Hadoop tools and technologies including HIVE, Impala, Presto and others from an open-source perspective and Hortonworks Data Flow (HDF), Dremio, Informatica, Talend and others from a commercial vendor perspective
                                                • Skilled working with both open-source and commercial message queuing technologies such as Kafka, Solace, Oracle Service Bus, JMS, Azure Service Bus, Amazon Simple queuing Service and others stream data integration technologies such as Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis and others; and stream analytics technologies such as Apache Kafka KSQL Apache Spark Streaming Apache Samza and others
                                                • Demonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools such as Trifacta, Paxata, Unifi and others to reduce or even automate parts of the tedious data preparation tasks
                                                • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid; multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service and others
                                                • Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization
                                                • Ability to work with data science teams in refining and optimizing data science and machine learning models and algorithms

                                                -

                                                Education & Training:

                                                -

                                                • A bachelor’s or master’s degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required
                                                • An advanced degree in computer science (MS), statistics, applied mathematics (PhD), information science (MIS), data management, information systems, information science (postgraduation diploma or related) or a related quantitative field or equivalent work experience is preferred.
                                                • The ideal candidate will have a combination of IT skills, data governance skills, analytics skills and Microsoft Azure knowledge with a technical or computer science degree

                                                +


                                                Manager, Data Analytics / Business Transformation and Analytics / Small Business

                                                -

                                                Additional Information

                                                -

                                                Other key attributes:

                                                -

                                                • Strong experience supporting and working with cross-functional teams in a dynamic business environment
                                                • Required to be highly creative and collaborative. The ideal candidate will be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements and design and develop data deliverables accordingly. The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production
                                                • Ability to gain the respect of stakeholders at all levels and roles within the company
                                                • Confident, energetic self-starter, with strong interpersonal skills
                                                • Good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity

                                                +

                                                Purpose
                                                Contributes to the overall success of the Small Business department in Canada by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                +

                                                The Manager, Data Analytics is responsible for delivering analytics that enables multiple stakeholders in the Small Business team to monitor & manage the health of the portfolio, business activities and results efficiently and effectively based on timely and value added reporting of business performance. You will leverage your subject matter expertise on data, database architecture, application design, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners.

                                                -

                                                Hours

                                                -

                                                37.5

                                                +

                                                Accountabilities:

                                                +

                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                +

                                                • Lead advanced analytics use cases for lead generation and customer experience; utilize test and learn methodologies to measure results

                                                +

                                                • Lead the creation of daily, weekly, monthly and quarterly reporting of business results to senior management and other stakeholders within the Small Business team, including the Field.

                                                +

                                                • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget.

                                                +

                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                +

                                                • Engage in high impact technology projects to provide subject matter expertise with respect to data architecture, systems integration and application design. Ensure integration of new advanced analytical tools into the analytical infrastructure.

                                                +

                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                +

                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                                                +


                                                Education / Experience / Other Information:

                                                +


                                                • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                • MBA (Finance or Marketing) or MMA preferred
                                                • 5+ years’ experience in Analytics, Data Science or MIS/Reporting
                                                • 5+ years’ experience in programming, application development and/or data warehousing
                                                • Detailed experience in R or Python, SQL, SAS
                                                • Strong working knowledge of Tableau and PowerBI
                                                • Strong communication skills essential with clients, vendors and management
                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel domestically.

                                                -

                                                Inclusiveness

                                                -

                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                ",,https://jobs.td.com/en-CA/jobs/11385398/cloud-data-security-specialist-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-09-21T14:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/39246920-cloud-data-security-specialist-at-td-bank-group,,expired,2020-09-08T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5d89409e-62ac-4b2b-96b2-1f0ca2effd34,39311482,Loblaw Companies Ltd.,Data Science Analyst,on_site,"Toronto, ON, Canada",2020-09-09T15:19:54.133Z,"

                                                -
                                                  -
                                                  • -Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    -

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Analytics-Business-Transformation-and-Analytics-Small-Business-ON-M5C2W1/546793417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:08:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/60240390-manager-data-analytics-business-transformation-and-analytics-small-business-at-scotiabank,,expired,2021-04-28T17:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +d2752bbb-07d3-42ae-8d16-ad5e80969258,60263350,CIBC,"Senior Manager, Data & Analytics",on_site,"Toronto, ON, Canada",2021-04-28T21:46:12.211Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    Why is this role important?

                                                    -

                                                    Why is this role important?

                                                    +

                                                    Job Description

                                                    -

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    -

                                                    If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    +

                                                    What You’ll Be Doing

                                                    -

                                                    The Data, Insights & Analytics team at Loblaw is hiring an Data Science Analyst. Reporting to the Senior Data Scientist, Data, Insights & Analytics, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                    +

                                                    You'll join our Business Performance & Insights team reporting to the Director, Analytics. As a Senior Manager, you'll work as a technical developer who is excited about providing end-to-end data analytic solutions for our product origination and fulfillment platform. These solutions will range from designing a comprehensive data model to providing an insightful production dashboards to drive evidence-based decision making at all levels for the Personal and Business Banking (PBB) lines of business. You will be exploring large datasets with limited metadata, and are expected to operate independently in forming and creating a comprehensive data/table structures that will be the backbone of all regular/adhoc analysis and reporting for the team.

                                                    +

                                                    You will also support the execution of the strategic data roadmap for the team and provide the capability to create quantifiable value by the use of data, analytics and insights. This includes developing data and workflows through efficient/automated ETL processes, and act as a key enabler to the rest of the team . You will have technical responsibility for understanding and managing the usage of key data sources as well as the development and maintenance of sales force, client and product profiles designed to facilitate ongoing and ad-hoc work.

                                                    -

                                                    What You'll Do:

                                                    +

                                                    How You’ll Succeed

                                                      -
                                                    • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                    • -
                                                    • Develop capabilities to identify areas of opportunity and improve processes and efficiency on reporting and operations.
                                                    • -
                                                    • Support initiatives to make business partners more self-sufficient.
                                                    • -
                                                    • Work with IT in terms of identifying opportunities to make key information more easily and reliably accessible.
                                                    • -
                                                    • Act as gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                                    • -
                                                    • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to initiatives about media activation, in-store activities, CRM initiatives, marketing campaigns, etc.
                                                    • -
                                                    • Extract, review and prepare sales and customer behavior data for analysis, reporting using SQL
                                                    • -
                                                    • Analyze data to help determine insights to solve business problems or identify new opportunities
                                                    • -
                                                    • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross functional outcomes
                                                    • -
                                                    • Actively identify and execute initiatives to improve process and data infrastructure
                                                    • -
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • -
                                                    • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                    • -
                                                    • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                                    • -
                                                    • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                                    • +
                                                    • +Business Performance, Client and Product Profile Development - Develop and maintain streamlined ETL process for sales force, client and product data that can be used to facilitate both ongoing dashboard reporting and ad hoc analyses
                                                    • +
                                                    • +Dashboard Design and Development – Lead the development of our production dashboard related to key sales interactions, client experiences, product origination and channel trends for multi-level users throughout the organization.
                                                    • +
                                                    • +Data Exploration - Explore the data with the limited information, and develop a strategic data integration plan that will connect bank’s client journey from start to finish.
                                                    • +
                                                    • +Strong Partner – You will develop change management strategies and maintain open, collaborative lines of communication to ensure awareness of requirements and impacts. You will gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition
                                                    • +
                                                    • +Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights based this analysis with a wide variety of audience

                                                    -

                                                    What You'll Bring:

                                                    +

                                                    Who You Are

                                                      -
                                                    • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                                    • -
                                                    • Programming skills with SQL, Python, PySpark.
                                                    • -
                                                    • In-depth knowledge of predictive modelling, machine learning modelling.
                                                    • -
                                                    • 3 years experience in utilizing advanced SQL data extraction and manipulation tools (MS SQL, Teradata).
                                                    • -
                                                    • Retail analytics experience with a marketing focus preferred.
                                                    • -
                                                    • Marketing experience with a focus on using customer data, such as Direct Marketing, Database Marketing, Loyalty Marketing preferred.
                                                    • -
                                                    • Experience with google cloud platform is an asset.
                                                    • -
                                                    • In-depth knowledge of pattern recognition models is an asset
                                                    • -
                                                    • Experience with NLP is an asset.
                                                    • -
                                                    • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                                    • -
                                                    • Data mining experience working with a large relational customer database
                                                    • -
                                                    • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                    • -
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • -
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • -
                                                    • Strong detail orientation is essential in this role
                                                    • -
                                                    • A team player and self-starter
                                                    • -
                                                    • Advanced MS Office skills (Excel, Word, Access
                                                    • +
                                                    • +Database Design and ETL - You demonstrate strong understanding on the data warehouse design with experience in managing and creating database model and ETL processes that supports and accelerate analytic end user. You must have advanced proficiency in various RDBMS, SAS, and ETL managements. You have the ability to perform complex data integration and transformation with large datasets including both structured and unstructured data
                                                    • +
                                                    • +Dashboard Development - You possess superior Tableau skills for the data visualization with proven records in designing, developing and maintaining enterprise level dashboards using Tableau. You can overcome the technical limitations of the tools with various techniques and creative work around solutions.
                                                    • +
                                                    • +You are a problem solver - You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business and technical problems and recommend solutions
                                                    • +
                                                    • +Analytical - You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Your critical thinking skills help to inform your decision making
                                                    • +
                                                    • +Detail Oriented - You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                    • +
                                                    • +Goal Oriented - You are driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact
                                                    • +
                                                    • +Client-Focused - You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do
                                                    • +
                                                    • +Values matter to you -You bring your real self to work and you live our values – trust, teamwork and accountability

                                                    -

                                                    What You Can Expect

                                                    -

                                                    We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    -

                                                    Other perks of joining Loblaw:

                                                    +

                                                    What CIBC Offers

                                                    +

                                                    +

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      -
                                                    • Competitive compensation and benefits package
                                                    • -
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!) with flexibility to work elsewhere
                                                    • -
                                                    • A flexible work environment which values balance
                                                    • -
                                                    • Colleague Discount Program
                                                    • -
                                                    • Tuition reimbursement Program
                                                    • -
                                                    • Employee Share Ownership plan
                                                    • -
                                                    • Pension Plan
                                                    • +
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +
                                                    • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                    • +
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                    +

                                                    Please apply by: end of day on May 6, 2021

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    What You Need to Know

                                                    +
                                                      +
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                    • +
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    Job Location

                                                    +

                                                    Toronto-CC East 5th Floor

                                                    +

                                                    Employment Type

                                                    +

                                                    Regular

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    Weekly Hours

                                                    +

                                                    37.5

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Data---Analytics_2109683-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-05-19T21:06:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/60263350-senior-manager-data-analytics-at-cibc,,expired,2021-04-28T21:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +a6b3300a-5b2d-4b8f-85f6-9eda79cbeb35,60336426,BMO Financial Group,Data Scientist,on_site,"Toronto, ON, Canada",2021-04-29T13:55:06.593Z,"

                                                    Address:

                                                    +

                                                    100 King Street West

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    Job Family Group:

                                                    +

                                                    Data Analytics & Reporting

                                                    -

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                  ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science-Analyst_R2000184889,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-10-02T21:53:00.000Z,False,0,35,148,https://talenthub.vectorinstitute.ai/jobs/39311482-data-science-analyst-at-loblaw-companies-ltd,,expired,2020-09-09T15:19:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -6b101b14-e32a-4044-91ff-10f7d2044057,39312115,Manulife,Advanced Analytics Development Program - Toronto - 2021 Start,on_site,"Toronto, ON, Canada",2020-09-09T20:43:59.542Z,"
                                                  • -Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    Data Scientist works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable business outcomes and create a distinctive customer experience. In this role, you will engage business partners to dissect business problems, conduct research and analysis, generate ideas, structure data and building end-to-end statistical and machine-learning solutions.

                                                    -

                                                    Job Description

                                                    -

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    This is an exciting opportunity that is on the forefront of a critical enterprise capability and priority for the bank. As a change agent, you will be providing thought leadership to the enterprise on the value of data, analytics and machine learning and get to work with lines of business across the bank to help them achieve their objectives.

                                                    -

                                                    The Advanced Analytics Development Program (AADP) provides an opportunity to be a member of a cross-functional team that includes experts in predictive modelling and machine learning. The program is a 24 month program with 2-3 placements/rotations in data scientist roles with our Advanced Analytics teams. Each rotation can range from 8 to 12 months in duration and will provide graduates with exposure to multi-dimensional, complex analytic initiatives across all lines of business: insurance, retirement, wealth management and investments.

                                                    +

                                                    This role would be attractive for data scientists who have experience with big data analytics on large volumes and wide varieties of structured and unstructured data, and are looking to gain a wide exposure to problems in the financial industry.

                                                    -

                                                    The placement and its duration depend upon a number of factors including the participant's development needs and the needs of the business. The program allows you the opportunity to make an impact in a global organization by working on diverse teams and projects and gaining exposure to international business. First placements are located in one of Manulife's Divisional headquarters; Toronto, Waterloo, Boston or Hong Kong. Subsequent placements could be at any one of our operations in Canada, US or Asia based on development needs of the participant and placement opportunities available.

                                                    -

                                                    How does Manulife differentiate as the employer of choice to build a career in Advanced Analytics?

                                                    -

                                                    1. Value At Manulife, Advanced Analytics is a change agent.

                                                    -

                                                    We are a business partner that helps with transforming the company using analytics to drive insight, action and value in everything Manulife does. The teams work closely with business leaders, build business cases and quantify the business value of the opportunity to the organization.

                                                    -

                                                    The successful candidate will work with the team and the business unit to:

                                                    +

                                                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                    +

                                                    Qualifications:

                                                      -
                                                    • Convert the business opportunity into an analytical problem
                                                    • -
                                                    • Measure the size of the opportunity
                                                    • -
                                                    • Determine key performance measures (KPIs) to track success.
                                                    • -
                                                    • Use a variety of statistical and machine learning techniques to solve the problem.
                                                    • -
                                                    • Demonstrate shared value through the conversion of algorithms into a business process.
                                                    • +
                                                    • Acts as a trusted advisor to assigned business/group.
                                                    • +
                                                    • Influences and negotiates to achieve business objectives.
                                                    • +
                                                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                    • +
                                                    • Assists in the development of strategic plans.
                                                    • +
                                                    • Identifies emerging issues and trends to inform decision-making.
                                                    • +
                                                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                    • +
                                                    • Supports data collection, integration, and retention requirements for data.
                                                    • +
                                                    • Develops experimental design approaches to validate findings or test hypotheses.
                                                    • +
                                                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large data sets.
                                                    • +
                                                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                    • +
                                                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                    • +
                                                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                    • +
                                                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • +
                                                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                    • +
                                                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                    • +
                                                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                    • +
                                                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared data sets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                    • +
                                                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                    • +
                                                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                    • +
                                                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                    • +
                                                    • Performs experimental design approaches to validate finding or test hypotheses.
                                                    • +
                                                    • Uses the appropriate algorithms to discover patterns.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                    • +
                                                    • Supports development of tools and delivers training for data analytics and AI.
                                                    • +
                                                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                    • +
                                                    • Leads/participates in the design, implementation and management of core business/group processes.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Provides specialized consulting, analytical and technical support.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently and regularly handles non-routine situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.

                                                    -

                                                    2. Challenging opportunities exist for the data scientist and data engineer.

                                                    -

                                                    In these roles the successful candidate will gain exposure utilizing software such as R, Python or SAS.

                                                    -

                                                    The data scientist is expected to either have or develop expertise in techniques such as:

                                                    +

                                                    +

                                                    Knowledge and Skills:

                                                      -
                                                    • Classification and Regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge),
                                                    • -
                                                    • Decision Trees
                                                    • -
                                                    • Clustering (Traditional, Bagged, Hierarchical)
                                                    • -
                                                    • Random Forest
                                                    • -
                                                    • GBM, SVD, SVM
                                                    • -
                                                    • Neural networks
                                                    • -
                                                    • Text Mining (TF-IDF, Latent Dirichlet and Similarity models)
                                                    • -
                                                    • Optimizations (Linear and Non-linear)
                                                    • -
                                                    • Simulations (MCMC) etc.
                                                    • +
                                                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                                                    • +
                                                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                    • +
                                                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML, supervised learning, clustering, natural language processing (NLP), recommender engines, time series analysis, A/B testing, network/link analysis, sentiment analysis and data visualization.
                                                    • +
                                                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                                                    • +
                                                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.

                                                    -

                                                    Seeking a candidate who is pursuing a Masters or PhD in Data Science or a related field, and will graduate within 0-2 years of 2021

                                                    -

                                                    The scientist will apply these methods to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all of the organization’s geographies and divisions.

                                                    -

                                                    The Data Engineer will gain valuable experience with a number of data technologies that support software development, advance analytics and reporting including:

                                                    +

                                                    +

                                                    We’re here to help

                                                    At BMO Harris Bank we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    As a member of the BMO Harris Bank team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    To find out more visit us at https://bmoharriscareers.com.

                                                    +

                                                    +

                                                    BMO Harris Bank is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. BMO Harris Bank N.A. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    +

                                                    +

                                                    +

                                                    We’re here to help

                                                    +

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    +

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    +

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://jobs.bmo.com/ca/en/job/R210004487/Data-Scientist,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-05-29T13:55:11.323Z,False,0,10,69,https://talenthub.vectorinstitute.ai/jobs/60336426-data-scientist-at-bmo-financial-group,,expired,2021-04-29T13:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +c67e61b0-f397-49a9-a790-58ef80737298,60369530,Thomson Reuters,Lead Software Engineer - C#.Net/Data Analytics,on_site,Toronto-Ontario-Canada,2021-04-29T19:44:09.981Z,"
                                                    +Job Description

                                                    As a member of the 3E Data Insights development team, you will build Data Analytics software that helps Legal firms analyze and improve their firm’s financial performance with rich visualizations.

                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    As a Lead Software Engineer you will:

                                                      -
                                                    • Cloud (Azure)
                                                    • -
                                                    • Hadoop (Hortonworks, Pivitol)
                                                    • -
                                                    • Statistical Packages (Matlab,)
                                                    • -
                                                    • Databases: HAWQ, HDB, MongoDB, Cassandra, HBase
                                                    • -
                                                    • Reporting and Data Visualization tools (Qlik, Tableau, Oracle etc)
                                                    • -
                                                    • Scripting Languages: Java, C++, PHP, Ruby
                                                    • +
                                                    • Develop Analytics Software – that delight our customers and have high standards for performance, usability, quality, and resilience

                                                    • +
                                                    • Show Leadership – lead a development team, provide technical expertise, help team meet deadlines

                                                    • +
                                                    • Be a Team Player – work in a collaborative team-oriented environment, valuing diversity of ideas and partnering with cross functional and remote teams

                                                    • +
                                                    • Be Curious and Innovative – continuously learn and grow and keep up with technological and data analytics innovations

                                                    • +
                                                    • Take Ownership – be accountable in meeting commitments and seeing problems through to resolution

                                                    • +
                                                    • Be an Effective Communicator – articulate complex technical issues, share ideas, value transparency, participate in peer-reviews and exhibit strong listening skills

                                                    • +
                                                    • Participate in all aspects of the development lifecycle – not just designing, developing and delivering software, but also participating in code reviews, team discussions and second-level support

                                                    -

                                                    The engineer provides leadership and consultative support to data activities across the organization and is key to ensuring that the data environment supports value-add activities in analytics, decision making and direct customer facing activities.

                                                    -

                                                    3. Continuous Development

                                                    -

                                                    Manulife is committed to Learning and Development. The candidate will be hired into the Advanced Analytics Development Program and introduced to a seasoned and eminent analytic leader in the organization who will act as a mentor. Manulife’s analytic leaders have backgrounds ranging from Management Consulting, P&C, Life, Investments, Retirements and who have solved Business Problems for the likes of Walmart, Caterpillar, Lowes, AT&T, Farmers, Capital One, Google, HSBC to name a few.

                                                    -

                                                    Program participants will have access to and can expect to participate in:

                                                    +

                                                    About You

                                                    +

                                                    You’re a fit for the role of Lead Software Engineer if you have:

                                                      -
                                                    • Kaggle-style data science competitions
                                                    • -
                                                    • Team and networking events
                                                    • -
                                                    • Monthly Global Best Practice meetings
                                                    • -
                                                    • Conferences/Training courses
                                                    • -
                                                    • Presentations to Executives
                                                    • +
                                                    • Around 7-10 years of software engineering experience

                                                    • +
                                                    • At least 1 year of experience building cloud-native software (AWS is fine, but Azure is ideal)

                                                    • +
                                                    • Strong C#/.NET/.NET Core skills

                                                    • +
                                                    • Expert-level SQL skills with large relational and columnar databases

                                                    • +
                                                    • Solid data analytics experience ideally with tabular models, Power BI (preferred) and/or Tableau

                                                    • +
                                                    • Experience building, delivering, performance tuning and troubleshooting large-scale data warehouse and ETL processes

                                                    • +
                                                    • Experience developing and supporting both on-prem and SaaS software

                                                    • +
                                                    • Experience with most of the following technologies Azure Analysis Services, SQL Analysis Services, SQL Replication, Azure Functions, Azure DevOps, Azure Data Factory, Power BI, DAX, Power Shell, Python

                                                    • +
                                                    • Experience working with diverse and distributed teams

                                                    • +
                                                    • Experience with automated testing frameworks and a passion for high code coverage

                                                    • +
                                                    • Ability to learn new skills and adapt to technology and priority changes

                                                    • +
                                                    • Experience handling second-level support for production software

                                                    • +
                                                    • Experience helping junior developers and non-technical teams

                                                    • +
                                                    • Diverse and varied experience with multiple software systems, technologies, and processes

                                                    • +
                                                    • A can-do attitude, respect for your peers and a passion for results

                                                    -


                                                    If you are ready to unleash your potential it’s time to start your career with Manulife/John Hancock.

                                                    -

                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2019, we had more than 35,000 employees, over 98,000 agents, and thousands of distribution partners, serving almost 30 million customers. As of June 30, 2020, we had $1.2 trillion (US$0.9 trillion) in assets under management and administration, and in the previous 12 months we made $30.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.

                                                    +

                                                    What’s in it for You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                    +
                                                      +
                                                    • +

                                                      Learning & Development:

                                                      +
                                                        +
                                                      • Exposure to a wide breadth of leading-edge technology

                                                      • +
                                                      • Career growth - the ability to work on multiple projects and/or with various teams

                                                      • +
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                      • +
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                      • +
                                                      +
                                                    • +
                                                    • +

                                                      Benefits/Perks:

                                                      +
                                                        +
                                                      • Health benefits

                                                      • +
                                                      • Savings/investment plans

                                                      • +
                                                      • Paid time off (including time off to volunteer and extended parental leave)

                                                      • +
                                                      +
                                                    • +
                                                    • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balanc

                                                    • +
                                                    • Global Opportunities: We have employees in over 90 countries, working across three different industries

                                                    • +
                                                    • Your well-being: We offer a program that focuses on making our lives healthier

                                                    • +

                                                    -

                                                    It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    -
                                                  +

                                                  Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                  +

                                                  We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                  +

                                                  Accessibility

                                                  +

                                                  As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

                                                  +

                                                  We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                  +

                                                  More information about Thomson Reuters can be found on thomsonreuters.com.

                                                  +

                                                  +

                                                  Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                  +

                                                  +

                                                  We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                  +

                                                  +

                                                  Accessibility

                                                  +

                                                  +

                                                  As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                  +

                                                  +

                                                  We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                  +

                                                  +

                                                  More information about Thomson Reuters can be found on thomsonreuters.com.

                                                  +

                                                  Locations
                                                  Toronto-Ontario-Canada
                                                  ",,https://jobs.thomsonreuters.com/ShowJob/Id/512070/Lead-Software-Engineer-C#.Net-Data-Analytics/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-19T21:02:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/60369530-lead-software-engineer-c-net-data-analytics-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/512070/Lead-Software-Engineer-C#.Net-Data-Analytics/,expired,2021-04-29T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, +88e35a25-01fd-4a9c-8278-e1e7fcead8ca,60556172,ODAIA,Senior Applied Data Science Engineer,full,Anywhere,2021-04-30T17:28:50.777Z,"

                                                  Senior Applied Data Science Engineer

                                                  +

                                                  (Downtown Toronto - Remote during COVID)

                                                  +

                                                  This is a unique opportunity to come in and build something really big. We have an amazing competitive advantage because of all the development that went into our technology and platform that is currently being used by Fortune 500 companies.

                                                  +

                                                  It is an incredible opportunity to get in now! We are in high growth mode, so it is all about teamwork and winning together! We have a great product and a very talented and motivated team. The company will be growing extensively over the next 3+ years. We need people who are motivated to be an integral part of this high growth phase. This is the perfect time in the market to build something huge!

                                                  +

                                                  What We Do

                                                  +

                                                  ODAIA's Maptual and Multitüd are AI-powered sales and marketing insights, automation, and predictive analytics SaaS products for pharma and eCommerce, respectively.

                                                  +

                                                  Maptual helps pharma/biotech companies prospect, predict and engage the journeys of their customers in real-time by applying AI to enterprise data for developing smart segmentation, predicting HCP behavior, and triggering hyper-targeted sales and marketing Next Best Actions to guide omnichannel and field teams' towards enhanced brand performance.

                                                  +

                                                  Multitüd helps eCommerce merchants enrich their understanding of their customer personas and identify audience targeting segments based on specific performance goals.

                                                  +

                                                  What's on Offer

                                                    -
                                                  ",,https://manulife.wd3.myworkdayjobs.com/MFCJH_AdminJobs/job/Toronto-Ontario/Advanced-Analytics-Development-Program---Toronto---2021-Start_JobReq0400978,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-25T21:44:00.000Z,False,0,47,198,https://talenthub.vectorinstitute.ai/jobs/39312115-advanced-analytics-development-program-toronto-2021-start-at-manulife,,expired,2020-09-09T20:43:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -adf9a66f-9696-4a17-bee4-a6570c957427,39312128,TD Bank Group,"Intern Analyst, Geospatial Analytics",on_site,"Toronto, ON, Canada",2020-09-09T20:54:16.795Z,"

                                                  Company Overview

                                                  +
                                                • Working on unique challenges productizing data science in unique new ways
                                                • +
                                                • Opportunity to make a full impact by researching, designing, building, and contributing directly
                                                • +
                                                • Chance to work in a talented product engineering team
                                                • +
                                                • Family-oriented startup culture and highly product-driven
                                                • +
                                                • Tremendous growth and learning opportunities
                                                • +
                                                • We’re located in downtown Toronto but are virtual during COVID. We stay connected through virtual calls, and virtual parties, BYOB!
                                                • +
                                                • Great benefits!
                                                • +
                                                • Stock Options
                                                • + +

                                                  Who You Are

                                                  +

                                                  As a Senior Applied Data Science Engineer, you possess the passion, curiosity, and motivation to design and implement solutions end-to-end. You have a product affinity and are laser-focused on bringing value to end-users with an amazing attention to detail. You are a high-impact individual contributor who can also effectively mentor and collaborate with the team. You wield both the data science expertise and engineering know-how to solve problems in a flexible and scalable manner, and can quickly integrate production quality code into current systems.

                                                  +

                                                  Job Description

                                                  +
                                                    +
                                                  • Build great data-science-driven software products in a dynamic startup environment
                                                  • +
                                                  • Participate in all aspects of the product life cycle: research, design, prototype, build, test, CI/D, code reviews, and architecture reviews
                                                  • +
                                                  • Translate business objectives into realistic data science/engineering solutions, and facilitate alignment with the product owner and the back-end team to bring solutions to production, and ultimately to the end-user
                                                  • +
                                                  • Deploy data science driven features via microservices, containers, and other infrastructures on AWS
                                                  • +
                                                  • Validate output and insights both manually and at scale with automation
                                                  • +
                                                  • Prioritize the depth of research and solution based on realistic timelines required by the product roadmap
                                                  • +
                                                  • Our Back-End stacks: Python, AWS, Kubernetes, ECS, RDS, MySQL, MongoDB, DynamoDB, Lambda, S3, API Gateway, Cognito, Kafka, SQS, etc...
                                                  • +
                                                  +

                                                  Requirements

                                                  +
                                                    +
                                                  • Solid understanding of computer science fundamentals, such as, data structures and algorithms.
                                                  • +
                                                  • Prior experience in shipping a software product by successfully applying data science (3+ years of experience or equivalent)
                                                  • +
                                                  • Knowledge or experience with statistical analysis, time-series analysis & forecasting, NLP, and sequence analysis.
                                                  • +
                                                  • Solid understanding of machine learning fundamentals, such as, feature engineering, clustering, validation, embeddings, neural networks, etc.
                                                  • +
                                                  • Experience with algorithm optimization, handling large datasets, data and task parallelism.
                                                  • +
                                                  • Self-directed, take initiative, and adjusts quickly to changing priorities, and copes effectively with complexity and ambiguity
                                                  • +
                                                  • Has exceptional communication skills, understand how to influence both technical and non-technical teams
                                                  • +
                                                  • A continuous learner who seeks and welcomes feedback to improve yourself and your craft
                                                  • +
                                                  +

                                                  Base Salary Range

                                                  +

                                                  $115,000 - $150,000

                                                  ODAIA is committed to creating a diverse environment and is an equal opportunity employer. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

                                                  +

                                                  ",,https://secure.collage.co/jobs/odaia/19960,arjola.kelly@odaia.ai,https://www.odaia.ai/,,,2021-05-30T17:45:00.000Z,False,0,8,73,https://talenthub.vectorinstitute.ai/jobs/60556172-senior-applied-data-science-engineer-at-odaia,,expired,2021-04-30T17:28:00.000Z,website,Scaling (20-499),Vector Quick Apply,Software,Senior Level,Bachelors Degree,New Posting, +b6cb56c7-0059-4a00-9bff-d84b9681736c,60912291,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2021-05-03T15:31:04.315Z,"
                                                  +

                                                  Company Overview

                                                  +

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  -

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  +

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  +
                                                  +

                                                  +

                                                  Department Overview

                                                  +

                                                  Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                  +

                                                  +

                                                  Job Description

                                                  +
                                                  +

                                                  About this Role

                                                  +

                                                  Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                  +

                                                  As a Data Steward II, you will:

                                                  +
                                                    +
                                                  • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                  • +
                                                  • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                  • +
                                                  • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                  • +
                                                  • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                  • +
                                                  • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                  • +
                                                  • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                  • +
                                                  • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                  • +
                                                  • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                  • +
                                                  • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                  • +
                                                  • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                  • +
                                                  +
                                                  +

                                                  +

                                                  Requirements

                                                  +
                                                  +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                  +
                                                    +
                                                  • Undergraduate degree or technical certificate
                                                  • +
                                                  • Seven (7) or more years relevant experience
                                                  • +
                                                  • Skill in using software tools, applications, data analysis methods
                                                  • +
                                                  • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                  • +
                                                  +
                                                  +

                                                  +

                                                  Hours

                                                  +
                                                  37.5
                                                  +

                                                  +

                                                  Inclusiveness

                                                  +

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  +

                                                  +
                                                  ",,https://jobs.td.com/en-CA/jobs/12801897/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-05-19T21:02:00.000Z,False,0,0,25,https://talenthub.vectorinstitute.ai/jobs/60912291-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12801897/data-steward-ii-toronto-ca/,expired,2021-05-03T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +dd38cee8-659e-45e5-9cba-534662243776,61830565,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-05-07T16:46:42.625Z,"

                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                  +

                                                  +

                                                  PURPOSE:

                                                  +

                                                  +

                                                  The Global Data & Analytics Solutions team at Scotiabank has been focused to build and integrate advanced analytics solutions in Bank’s core processes to derive financial loss presentations, operational efficiencies, operational risk mitigation and customer personalized support; and with heavy emphasis on reusability of analytic solutions. We partner very closely with Digital Banking, Operations and Technology function areas of business. We have a high performing team culture, and the team consists of highly accomplished business professionals, Data Scientists, Data Strategists, Model-ops Engineers and Agile Project Managers.

                                                  +


                                                  We are seeking for a passionate individual at Senior Manager – Data Science Lead role with experience in managing and delivering complex analytic projects with agile mindset, experience in working with cross functional teams from both technology and business sides and should have a proven track record of fostering empowerment, a high-performing team culture and facilitating creativity. An individual would require to have a deep understanding of data science functional knowledge and building the high-impact analytics end-to-end solutions. Role is required to support the core business functions through the rapid project deliveries that will help to drive accelerated benefits for our customers.

                                                  +

                                                  +

                                                  +

                                                  WHAT WILL YOU DO?

                                                  +


                                                  • Data Science Lead will be working on strategically prioritised analytic use cases from technology and other function areas in bank under the guidance of a Director
                                                  • You will manage and support the team of data scientists, modelOps engineers and data strategist to develop, deploy and monitor advanced analytics, predictive analytics and ML analytics solutions
                                                  • You will prepare detailed documentation to outline data sources, methodologies, models, and algorithms used and developed
                                                  • Present results to business line stakeholders and help to drive real data-driven culture
                                                  • Promote high-performance culture and empowerment in a team by ensuring that each team member is fully engaged in project with meaningful contribution
                                                  • Participate and help in identifying analytic and AI opportunities to drive business value; and be an advocate for building reusable and scalable analytic solutions
                                                  • Manage project requirement gathering, scope and timeline
                                                  • Build and maintains relationships with cross-functional teams
                                                  • Build, manage and advocate the best practices for managing and executing the analytic projects

                                                  +

                                                  +

                                                  +

                                                  WHAT ARE WE LOOKING FOR?

                                                  +


                                                  • A university Degree in Business and/or STEM Discipline, preferably Master or above
                                                  • A strong project management experience in analytics and preferably in Finance industries
                                                  • Proven track record of executing the advanced analytics projects in agile delivery framework
                                                  • Knowledge of data science project life cycle – discovery, build, deploy and monitor
                                                  • Excellent verbal and written communication skills, ability to work with diverse team
                                                  • Knowledge of data science techniques to conduct descriptive, predictive, ML and NLP analytics
                                                  • Detailed level of understanding on organization’s risk appetite, risk culture and governance around the data science solutions
                                                  • Strong coaching and training skills
                                                  • Hands-on experience of working with data science tools and technologies such R/Python, SQL, Hive, Sqoop, PowerBI/Tableau etc.
                                                  • Hands-on experience of using project management and collaborative tools such as confluence, JIRA & Bitbuckets
                                                  • Familiarity or experience with deployment mechanisms for machine learning algorithms ( Docker & Kubernetes)
                                                  • Familiarity with cloud technologies such as AWS, GCP or MS Azure

                                                  +

                                                  +

                                                  +

                                                  WHAT’S IN IT FOR YOU?

                                                  +


                                                  • An inclusive and collaborative working environment that encourages pragmatic creativity, curiosity, and celebrates success
                                                  • You will get to work with and learn from friendly and diverse group of accomplished leaders
                                                  • Opportunity to work with different business lines where analytics are being tested and applied
                                                  • Training and learning program with resources like LinkedIn Learning, Plural sights and networking with Subject Matter Experts
                                                  • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program, and continuing education programs

                                                  +

                                                  +

                                                  +

                                                  Location(s): Canada : Ontario : Toronto

                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-ON-M5H1H1/546858817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T20:59:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/61830565-senior-manager-data-science-at-scotiabank,,expired,2021-05-07T16:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +6283de79-5b0a-43b9-ab06-b913730b438e,61830568,Scotiabank,"Senior Data Architect, Global Compliance",on_site,"Toronto, ON, Canada",2021-05-07T16:47:25.794Z,"

                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                  +

                                                  +

                                                  +

                                                  Overview

                                                  +

                                                  +

                                                  Within Scotiabank’s Global Compliance department, the Data Analytics team is looking to hire a Senior Data Architect, who will work closely with business partners, technology teams, engineering teams, data architects, data modelers and other analytics teams in the Bank to unlock the power of data and draw impactful insights to support decision-making and day-to-day operations in compliance.

                                                  +

                                                  +

                                                  We are looking for individuals who never settle, are always looking for new ways to solve big problems. The incumbent should demonstrate the ability to collaborate effectively with internal and external partners—including technologists, product managers, engineers, designers and senior leadership. The Senior Data Architect will contribute to the overall success of the global compliance team in protecting the Bank’s customers thereby keeping their trust in our ability to provide excellent services all the time.

                                                  +

                                                  +

                                                  Responsibilities

                                                  +

                                                  +
                                                    +
                                                  • Design relational and/or multidimensional databases to support Global Compliance data domain solutions and physical data modeling according to project requirements for data acquisition and security as well as user-defined deliverables.
                                                  • +
                                                  • Design and develop Extract-Transformation-Load (ETL) processes in accordance with best industry practices and enterprise technology standards.
                                                  • +
                                                  • Develop logical and physical data models including meta data cataloguing, master data management and data traceability.
                                                  • +
                                                  • Provide guidance to developers regarding all aspects of data lifecycle from origination to consumption.
                                                  • +
                                                  • Review existing data models to identify improvement opportunities and implement optimization solutions.
                                                  • +
                                                  • Design, optimize and fine-tune data models to support data visualization tools to ensure optimal performance and enhanced user experience.
                                                  • +
                                                  • Application of tools for data analysis, data mining, source-to-target data mapping, data domain and referential integrity verifications; programming skills are desired.
                                                  • +
                                                  • Builds and maintains proper documentation, data lineage and extract-transform-load (ETL) processes.
                                                  • +
                                                  • Participate in Agile planning and retrospective sessions, attend stand-ups, etc.
                                                  • +
                                                  • Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
                                                  • +
                                                  +

                                                  +

                                                  Requirements

                                                  +

                                                  +
                                                    +
                                                  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics) and/or relevant work experience.
                                                  • +
                                                  • 5+ years of experience in Data Architecture, Data Collection, Cleansing, Aggregation, Automation, and Design of enterprise grade applications and systems.
                                                  • +
                                                  • 5+ years of hands-on experience with SQL (SQL Server, Oracle etc.), ETL tools (SSIS, DataStage etc.) and programming languages (Java, Python etc.).
                                                  • +
                                                  • 3+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g. unstructured logs, XML, JSON, flat files).
                                                  • +
                                                  • Proficiency and experience in building dimensional data models.
                                                  • +
                                                  • 3+ years of experience in implementing and managing visualization tools such as Power BI, or Tableau.
                                                  • +
                                                  • SQL Server and SSIS expertise is highly desirable.
                                                  • +
                                                  • Experience with agile methodologies, source control management and building processes.
                                                  • +
                                                  • Excellent communication skills, with a strong customer-focus.
                                                  • +
                                                  • Nice-to-have experience with statistical analysis and machine learning with common machine learning libraries in R or Python.
                                                  • +
                                                  • Nice to have experience with Big Data ecosystem (Hadoop, Hive, Spark etc.).
                                                  • +
                                                  +

                                                  +

                                                  Location(s): Canada : Ontario : Toronto

                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect%2C-Global-Compliance-ON-M5C2C5/546852317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-06T16:47:27.268Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/61830568-senior-data-architect-global-compliance-at-scotiabank,,expired,2021-05-07T16:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +affd1b07-0090-4848-8bd1-1c9cbd45cf08,61830804,TD Bank Group,BUSINESS INSIGHTS & ANALYTICS INTERN/CO-OP,on_site,"Toronto, ON, Canada",2021-05-07T16:51:36.440Z,"

                                                  Company Overview

                                                  +

                                                  All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                  +

                                                  TD’s Colleague Promise: A better you. A better us.

                                                  +

                                                  A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                  Department Overview

                                                  -

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  -

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  -

                                                  Building a World-Class Team at TD

                                                  -

                                                  We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                                  -

                                                  Our Leaders are committed to people development, career advancement and value diversity and inclusion.

                                                  +

                                                  Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                  +

                                                  Our Momentum Program, is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                  +
                                                    +
                                                  • Leadership talks with key Leaders from across the organization
                                                  • +
                                                  • Lunch and Learns on topics such as Innovation
                                                  • +
                                                  • Diversity and Inclusion and Personal Branding and so much more
                                                  • +

                                                  Job Description

                                                  -

                                                  Reporting to Manager, Geospatial Analytics, Distribution & Geospatial Intelligence, Personal Banking Data & Analytics, the successful candidate will:

                                                  +

                                                  The Business Insights & Analytics Co-op/Intern is a 4-month work term in analytics and data. The Business Insights & Analytics Co-op/Intern will perform a variety of activities, which may include:

                                                    -
                                                  • Support with the execution and tracking of the Retail Branch Transformation Plan developed by Network Strategy.
                                                  • -
                                                  • Participate in the development of robust distribution & data models to identify priority markets for growth and optimization opportunities across the nation.
                                                  • -
                                                  • Support strategic business development by analyzing and presenting customer data, census data, Canadian wealth data, different segmentation systems and competitor location data to better understand who our customers are, if they are properly serviced and where new customers potentially exist
                                                  • -
                                                  • Understand the application and business implications of the use of statistical and geographic information system (GIS) software, to process large amounts of data that produce results describing the current retail banking landscape for our existing and potential future branches.
                                                  • -
                                                  • Develop multi-dimensional analytics and transform into simplified executive ready reports leveraging existing definitions/metrics, as well as new analytics being introduced into the organization to help solve key business problems and work towards the best analytical approach to address them.
                                                  • +
                                                  • Perform SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
                                                  • +
                                                  • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                                  • +
                                                  • Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                                  • +
                                                  • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                                  • +
                                                  • Collaborate with business partners to support the business case development process for analytics solutions

                                                  Requirements

                                                  +

                                                  Assigned Line of Business Requirements:

                                                    -
                                                  • Candidate for Bachelor or post-graduate university education in Geomatics/Geographic Analysis, Big Data Analytics, Retail Studies, Urban Planning, Business, Economics, Math or Statistics with the intent of going back to school as of the start of your work term.
                                                  • -
                                                  • Working knowledge of geographic information systems (particularly ArcGIS) that include data conversion into different formats, data cleaning and normalization
                                                  • -
                                                  • Experience with spatial databases and/or ETL applications; preferably with knowledge of at least one application commonly used in the market (e.g., MS SQL, PostgreSQL, ESRI FGDB, Alteryx, Knime, SSIS, FME, etc.).
                                                  • -
                                                  • Fundamental knowledge of Microsoft Excel and the Microsoft Suite of applications
                                                  • -
                                                  • Customer focused, with a strong understanding of customer needs and experiences across all of TD’s channels.
                                                  • -
                                                  • Team player who is comfortable with working in a dynamic fast-paced work environment and with an evolving mandate.
                                                  • -
                                                  • Robust conceptual, analytical, and problem-solving skills, with basic understanding of multicriteria decision-making analytics, descriptive and inferential statistics that are essential in turning geographic and related data into useful insights for decision makers
                                                  • -
                                                  • The ability to develop, impact, and execute on key strategic priorities.
                                                  • -
                                                  • Strong knowledge of customer, branch, and channel centric metrics/performance indicators and reporting systems within TD.
                                                  • -
                                                  • Clear understanding of the retail environment, products, services, systems, and operations, as well as a good understanding of the environment within other TDCT businesses
                                                  • -
                                                  • Possess the ability to synthesize large amounts of complex data into key and concise messages for the senior leadership team.
                                                  • -
                                                  • Proactively mitigate business risk and managing expectations.
                                                  • -
                                                  • Works efficiently and has solid organizational skills/time management, and the ability to manage multiple responsibilities/initiatives.
                                                  • +
                                                  • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Data Analytics or related, with the intent of going back to school at the start of your work term.
                                                  • +
                                                  • Strong statistical and analytical skills and interest are necessary.
                                                  • +
                                                  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                                                  • +
                                                  • Knowledge in one or more of R, Python, SQL, SAS or other data-related programming languages.
                                                  • +
                                                  • Knowledge in data visualizations with tableau
                                                  • +
                                                  • Knowledge with Data Management, Analytics, and Project Management is a plus.
                                                  +

                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                                  Additional Information

                                                  -

                                                  Please ensure your application includes:

                                                    -
                                                  • Resume (maximum 2 pages)
                                                  • -
                                                  • Cover Letter
                                                  • -
                                                  • Unofficial university transcript
                                                  • +
                                                  • This position is a 4-month work term and will commence Sept 7 – Dec 23, 2021.
                                                  • +
                                                  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                  • +
                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                  • +
                                                  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                  • +
                                                  • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                  -

                                                  This position is a 4-month work term (potential to extend to 8 months) and will commence January 4, 2021

                                                  -

                                                  TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                                  Hours

                                                  37.5

                                                  Start Date

                                                  -

                                                  – Winter

                                                  +

                                                  – Fall

                                                  Inclusiveness

                                                  -

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  ",,https://jobs.td.com/en-CA/jobs/11402000/intern-analyst-geospatial-analytics-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-09-25T21:40:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/39312128-intern-analyst-geospatial-analytics-at-td-bank-group,,expired,2020-09-09T20:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -7e2579e2-08e1-4d1c-bcd6-d9fcad23bb9c,39456522,Manulife,Senior Data Engineer,on_site,"Toronto, ON, Canada",2020-09-14T13:43:10.210Z,"

                                                  Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                  +

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  ",,https://jobs.td.com/en-CA/jobs/12816931/business-insights-analytics-intern-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-06-06T16:51:38.059Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/61830804-business-insights-analytics-intern-co-op-at-td-bank-group,,expired,2021-05-07T16:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c02b3b05-7e60-4b39-ae16-ec8f3fe83001,61831420,CIBC,"BI Consultant, Enterprise Data Analytics",on_site,"Toronto, ON, Canada",2021-05-07T17:25:23.633Z,"

                                                  We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                  -

                                                  Job Description

                                                  -

                                                  Manulife’s Global Data Office (GDO) is seeking a Sr. Data Engineer reporting into the Director, Advanced Analytics and AI Engineering & Enablement Lead. Located in Toronto, Canada - the role will champion and support strategic and global data initiatives that strengthens Manulife’s global data and advanced analytic capabilities, foster cross-segment collaboration and communication helping build an agile data insight driven culture, and lead and nurture open data design and architecture establishing conditions for successful technical and analytic innovation. The Sr. Data Engineer will develop, maintain, and test: data pipelines, application framework, infrastructure for data generation and work closely with Data Scientists to enable their work using modern data architecture and tools.

                                                  +

                                                  At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                  -

                                                  Job Description

                                                  -

                                                  Manulife has a clear vision for a Global Data Strategy. By liberating and strengthening Manulife’s data capabilities we will enable deeper insights, better product and service design, and more effective business processes. The result will be exceptional experiences for our customers.

                                                  -

                                                  Key Responsibilities:

                                                  -
                                                    -
                                                  • Leveraging new & existing Big Data & Cloud technologies contributing to the innovative design, development and management of data analytics labs supporting to increase knowledge and insight from enterprise data
                                                  • -
                                                  • Perform technical systems and data flow development in a variety of projects for complex front, middle and back office applications, with a focus on the reporting and analytics environment; this environment is built on a Microsoft Azure cloud and is underpinned by a Hortonworks Hadoop stack
                                                  • -
                                                  • Perform technical systems and data flow design for small-to-medium sized projects
                                                  • -
                                                  • Work with multiple project execution and deployment teams (e.g. Development, Business Analysis, Architecture, Release Management, Production Support)
                                                  • -
                                                  • Work closely with the technical leads and architecture teams, and align solutions that meet the departmental architectural vision
                                                  • -
                                                  • Assess the completeness and accuracy of data, identifying gaps in data, provide feedback to business and system owners with guidance and options to obtain missing information
                                                  • -
                                                  • Design, build and implement modern data architectures in development and production environments (data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes)
                                                  • -
                                                  • Translates business needs into data engineering and architecture solutions
                                                  • -
                                                  • Contributes to overall solution, integration and enterprise architectures
                                                  • -
                                                  • Build and support deploying machine learning models in development and production environments
                                                  • -
                                                  • Provide proactive data ingestion and analysis of large structured and unstructured datasets involving a wide range of systems across Group Functions (i.e., Finance, Treasury, Risk, Human Resources, Brand & Communications)
                                                  • -
                                                  • Evaluating existing and proposed data models and how to best access and query them as well as existing and proposed data interfaces and how to clearly document them, including specification of data flow models, data flow timing, data mapping, and data transformation rules including data validations and controls
                                                    -
                                                  • -
                                                  -

                                                  Education, Experience & Skills:

                                                  -
                                                    -
                                                  • Demonstrated 2-5 years of professional experience in related industry experience in working in big data/data management & understanding big data analytic tooling and environments including a University degree and or Master’s degree in Engineering, Computer Science or equivalent quantitative program
                                                  • -
                                                  • Experience in Big Data, Analytics and Business Intelligence technologies to support design, build and implementation for advanced analytics and business intelligence reporting;
                                                  • -
                                                  • Experience working with Cloudera and/or Hortonworks Hadoop stack
                                                  • -
                                                  • Experience with big data processing frameworks and techniques such as HDFS, MapReduce, Syncsort, Sqoop, Oozie, Storage formats (Avro, Parquet), Stream processing (NiFi, Kafka), etc.
                                                  • -
                                                  • Understanding of relational and warehousing database technology working with Hadoop and other major databases platforms (e.g., Hadoop, Oracle, SQLServer, Teradata, MySQL, or Postgres)
                                                  • -
                                                  • Experience in data technologies and use of data to support software development, advanced analytics and reporting. Focus on Cloud (Azure), Hadoop-based technologies and programming or scripting languages like Java, Scala, Linux, C++, PHP, Ruby Python, R and SAS.
                                                  • -
                                                  • Knowledge regarding different databases such as Hawq/HDB, MongoDB, Cassandra or Hbase.
                                                  • -
                                                  • Working knowledge of modern data streaming using Kafka, Apache Spark and data ingestion frameworks: NiFi, Hive and Pig
                                                  • -
                                                  • Experience writing complex SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments (i.e., HADOOP, SPARK, or similar open source and commercial technologies)
                                                  • -
                                                  • Knowledge of non-relational (Cassandra, MongoDB) databases preferred
                                                  • -
                                                  • Predictive analytics and machine learning experience (scikit-learn, Tensorflow, MLlib, recommendation systems) preferred
                                                  • -
                                                  • Experience with integrating to back-end/legacy environments
                                                  • -
                                                  • Experience integrating business and technology teams
                                                  • -
                                                  • Knowledge and familiarity with machine learning models application and production pipelines
                                                  • -
                                                  • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                  • -
                                                  • Remains current with emerging technologies, innovations and practices within the data and analytics industry
                                                  • -
                                                  • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                  • -
                                                  • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                  • -
                                                  • Strong work ethic, results oriented, and accuracy / attention to detail are critical; ability to work in agile or scrum delivery environments
                                                  • -
                                                  • Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language. A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges
                                                  • -
                                                  • Excellent organizational and time management skills, strong business presence with ability to multi-task and effectively deal with competing priorities. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions and be a strong team player.
                                                  • -
                                                  +

                                                  To learn more about CIBC, please visit CIBC.com

                                                  +

                                                  +

                                                  Job Description

                                                  +

                                                  +

                                                  What You’ll Be Doing

                                                  +

                                                  +

                                                  Enterprise Data & Advanced Analytics is responsible for establishing data as a strategic asset for CIBC, building out our data and analytics capabilities, and developing an enterprise-wide data enablement strategy. This role is key to deliver and provide expertise on BI & Analytics, data integration as well as UI design techniques. The ideal candidate is a self-motivated individual with knowledge of the technologies that are utilized to support CIBC's BI/Analytical standard tools.

                                                  +

                                                  +

                                                  How You'll Succeed

                                                  -

                                                  What about Perks?

                                                  -

                                                  Manulife has lots of perks including, but not limited to:

                                                    -
                                                  • Competitive compensation
                                                  • -
                                                  • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                  • -
                                                  • Manulife Share Ownership Program with employer matching
                                                  • -
                                                  • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                  • -
                                                  • Financial support for ongoing training, learning, and education
                                                  • -
                                                  • Monthly Innovation Days (Hackathons)
                                                  • -
                                                  • Wearing jeans to work every day
                                                  • -
                                                  • An abundance of career paths and opportunities to advance.
                                                  • +
                                                  • +The BI Consultant will design and carry out the development of BI Analytics and data integration leveraging a wide variety of tools connected to multiple data sources, taking into account CIBC processes, methodologies, data flows, system dependencies.
                                                  • +
                                                  • +You will Provide leadership in designing BI/Analytics development, implementation activities, future roadmap development of the Analytical environments & Analytical tools (Tableau, Alteryx, ThoughtSpot, SQL etc.)
                                                  • +
                                                  • +Identify opportunities to automate, streamline processes that will bring in efficiency in reporting and analytical environments, lessen manual intervention and increase end user efficiency.
                                                  • +
                                                  • +Lead and partner with Business Analytics, Technology, Enterprise Architecture, and other business groups with a focus of fostering BI/Analytics research & innovation culture

                                                  -

                                                  This is a full-time, permanent role located in Toronto, Ontario.

                                                  +

                                                  What We’re Looking For

                                                  -


                                                  If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                  -


                                                  About Manulife

                                                  -

                                                  Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                  -



                                                  -

                                                  Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                  ",,https://jobs.manulife.com/ShowJob/JobId/961762/SeniorDataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-14T15:08:12.225Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/39456522-senior-data-engineer-at-manulife,,expired,2020-09-14T13:43:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -c12b38f8-1f94-4594-98f1-643d7c869866,39456525,Manulife,Automation & Digitization - Senior Full Stack Engineer,on_site,"Waterloo, ON, Canada",2020-09-14T13:43:56.201Z,"

                                                  Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                  +
                                                    +
                                                  • Practical knowledge and hands on experience in the area of Data Engineering, BI and Data Analytic, Big Data (Hadoop).
                                                  • +
                                                  • 3+ years of hands-on experience with Tableau, Alteryx, T-SQL (MS SQL), Python, Hive, Impala. Having exposure to Spark, HTML and Salesforce is an asset.
                                                  • +
                                                  • Presentation/interactive/analytical skills sufficient to convey both factual and conceptual information utilizing methodologies as Rapid BI, Design Thinking and Storytelling.
                                                  • +
                                                  • Business analysis and consulting skills to precisely articulate & understand business requirements and ideas that involve interpretation, analysis, assessment and implementation.
                                                  • +
                                                  • Working knowledge of CIBC’s organizational structure, facilities, policies, processes, products and operating procedures, guidelines and systems is preferable.
                                                  • +
                                                  • Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                  • +

                                                  -

                                                  Job Description

                                                  -

                                                  The Automation and Digitization team is focused on Manulife’s digital transformation to provide our Customers with a more dynamic technology experience. We are looking for an equally dynamic Software Engineer who obsesses about Customers and is passionate about developing amazing technology solutions. We are focused on developing products for our internal Business Unit IT Team’s to enable them to quickly transform to digital and enable automation.

                                                  +

                                                  Who You Are

                                                  -

                                                  Automation & Digitization Team, we are:

                                                    -
                                                  • An agile team that sits right beside our business partners designing amazing Customer solutions that make it easy to work with Manulife
                                                  • -
                                                  • Ready to fail fast trying new ideas that challenge the way we do business
                                                  • -
                                                  • An interesting and competitive cast of characters who are always looking to innovate and find new ways of wowing our Customers
                                                  • -
                                                  • Here to support each other and create a fun and challenging work environment where everyone is engaged and all in on making our Team an awesome group to work with
                                                  • +
                                                  • +You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                  • +
                                                  • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                  • +
                                                  • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                  • +
                                                  • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                  -

                                                  As a Senior Full Stack Engineer, you will:

                                                  +

                                                  What CIBC Offers

                                                  +

                                                  +

                                                  At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    -
                                                  • Design, code, unit test and integrate new features and functionality
                                                  • -
                                                  • Apply creative problem solving that bring software designs to life
                                                  • -
                                                  • Build apps, APIs and data solutions to drive projects
                                                  • -
                                                  • Promote agile principles and methodology
                                                  • -
                                                  • Participate in ideation and brainstorming sessions to devise creative and disruptive digital solutions
                                                  • -
                                                  • Perform various investigative ""Spikes"" in order to mitigate technical uncertainty and risk
                                                  • -
                                                  • Assist in the development of automated test harnesses as necessary to ensure delivery of high-quality code
                                                  • -
                                                  • Update progress daily through the tracking tool (Jira) or Kanban board
                                                  • -
                                                  • Complete and ensure completion of any required documentation required e.g. deployment, maintenance, support and business needs
                                                  • -
                                                  • Participate in the weekly Look Ahead meetings to assist the Product Owner to refine the Product Backlog including providing initial estimates
                                                  • -
                                                  • Apply disciplined coding practices to enable agility and delivery of high-quality code
                                                  • +
                                                  • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                  • +
                                                  • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                  • +
                                                  • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                  • +
                                                  • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                  -

                                                  An opportunity to bring and continuously build upon the following skills and experience:

                                                  +

                                                  What You Need to Know

                                                    -
                                                  • Agile, PCF, Node, React and Jenkins (must have)

                                                    +
                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
                                                  • -
                                                  • Technologies such as: React, Angular, JQuery, Javascript, Python, Scala or Java
                                                  • -
                                                  • Good API skills (technologies such as Express/Node, GraphQL/Relay, Flask, Jersey, Java Spring REST or WebApi2)
                                                  • -
                                                  • Writes clear, readable and maintainable code, takes ownership of the quality and usability of code
                                                  • -
                                                  • Understands how to find and reuse patterns and platforms in the Manulife ecosystem and the broader community
                                                  • -
                                                  • Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
                                                  • -
                                                  • Good foundation in data structures, algorithms, and OO Design with rock-solid programming skills
                                                  • -
                                                  • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                  • -
                                                  • Constantly learns from both success and failure
                                                  • -
                                                  • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                  • -
                                                  • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                  • -
                                                  • Experiments with emerging technologies and understanding how they will impact what comes next
                                                  • -
                                                  • Experience working in or leading complex enterprise implementations
                                                  • +
                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                  -


                                                  If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                  -


                                                  About Manulife

                                                  -

                                                  Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                  -



                                                  -

                                                  Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                  ",,https://jobs.manulife.com/ShowJob/JobId/959415/AutomationDigitizationSeniorFullStackEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-15T13:01:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/39456525-automation-digitization-senior-full-stack-engineer-at-manulife,,expired,2020-09-14T13:43:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -a6d758ac-7588-42c0-b46d-a280e8ea6d0d,39456620,Intact Financial Corporation,Data Science – 4 Month Co-op/Internship (Winter 2021),on_site,"Toronto, ON, Canada",2020-09-14T14:24:25.776Z," - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                                  -

                                                  At Intact, insurance is not about things. It’s about people. It’s what we believe, and it shapes everything we do. It’s why we strive to provide a second-to-none experience for our customers and create an inspiring workplace for our employees to thrive in. And, it’s why we’re committed to nurturing and investing in the future tech talent of our industry.

                                                  -

                                                  As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                                  -
                                                  -
                                                  Your Job
                                                  -

                                                  It’s more than a great career. It’s a bright future.

                                                  -

                                                  We’re hiring a team of Future Talent tech superstars – people like you! – to join our Intact Lab – Data Science team. In a world where data is changing the way we live, the Intact Lab – Data Science team leverages a variety of sources of information coming from all touchpoints with our customers. We also use state of the art technologies to explore new possibilities and help us become one of the smartest players in the game. From analyzing our customers driving behaviours to state of the art technology for determining accurate prices on intangible products, the opportunities stemming from being the largest P&C insurer in Canada are endless.

                                                  -

                                                  The role.

                                                  -

                                                  As a Data Science Co-op/Intern, you will take on challenging projects that provide tremendous opportunities to learn and grow, surrounded by a multi-disciplinary team that constantly pushes to develop and implement innovative products.

                                                  -

                                                  When you step into this role, you will:

                                                  -
                                                    -
                                                  • Stay current on new approaches or opportunities, and bring them to the solutions you design
                                                  • -
                                                  • Transform complex data sets into meaningful conclusions and recommendation
                                                  • -
                                                  • Develop novel and innovative solutions for pattern recognition using machine learning and statistical approaches
                                                  • -
                                                  -

                                                  You will also have the chance to:

                                                  -
                                                    -
                                                  • Experience first-hand what it’s like to work as a Data Science Co-op/Intern and discover more about how advances in technology are shaping the way the insurance business works
                                                  • -
                                                  • Explore new ideas and learn about best practices in a fun, inclusive environment
                                                  • -
                                                  • Put your creative mind to work while you help the team solve problems and contribute to challenging, meaningful projects
                                                  • -
                                                  • Attend social events with the team, so you can meet new people and celebrate successes
                                                  • -
                                                  -
                                                  -
                                                  Your Skills
                                                  -

                                                  These are the requirements to apply:

                                                  -
                                                    -
                                                  • Currently pursing a Bachelor’s, Master’s or PhD related to artificial intelligence, computer science or data science
                                                  • -
                                                  • Available to work with us for Winter 2021 (January to April)
                                                  • -
                                                  • Must be returning to full time studies following the internship in Summer 2021 or Fall 2021
                                                  • -
                                                  • Open-source frameworks: Python, R, Spark, Hadoop
                                                  • -
                                                  • Work environment: GitHub, Git, Agile, Scrum
                                                  • -
                                                  • Understanding of the underlying Machine Learning theory an asset
                                                  • -
                                                  • Understanding in any specific field: Computer vision, Natural Language Processing or Artificial Intelligence an asset
                                                  • -
                                                  • Practical experience with machine learning or deep learning framework an asset
                                                  • -
                                                  • Ability to concentrate on loosely defined problems which require application of creative approaches
                                                  • -
                                                  • Strong communication, time-management, organization, and prioritization skills
                                                  • -
                                                  • Understanding of data science approaches in consumer research domains an asset
                                                  • -
                                                  • Cooperative team player
                                                  • -
                                                  -

                                                  Your career starts here. Apply today!

                                                  -

                                                  We can’t wait to learn more about you. When you complete your application, remember to include your resume and University/College transcript. We hire co-ops every semester (Winter, Summer and Fall)!

                                                  -
                                                  -
                                                  Closing Statement
                                                  -

                                                  We are an Equal Opportunity Employer

                                                  -

                                                  At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                                  -

                                                  Background Checks

                                                  -

                                                  As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                  -

                                                  Internal Candidates

                                                  -

                                                  For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                  -

                                                  Eligibility to Work in Canada

                                                  -

                                                  It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                  -

                                                  This posting closes on October 9th, 2020 at 11:59PM.

                                                  -
                                                  -
                                                  Indeed Sponsored
                                                  -

                                                  IN-ON

                                                  -
                                                  -

                                                  ",,https://careers.intact.ca/ca/en/job/IFCOUS12798/Data-Science-4-Month-Co-op-Internship-Winter-2021,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-10-13T14:34:00.000Z,False,0,27,91,https://talenthub.vectorinstitute.ai/jobs/39456620-data-science-4-month-co-op-internship-winter-2021-at-intact-financial-corporation,,expired,2020-09-14T14:24:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -6df552df-6d33-4710-9c14-abc79c57b439,39457189,Accenture,Principal Data Scientist,on_site,"Toronto, ON, Canada",2020-09-14T18:03:03.781Z,"

                                                  Job Description

                                                  -

                                                  Job Description – Principal Data Scientist

                                                  -

                                                  Location: Montreal, Ottawa & Toronto

                                                  -

                                                  Job Description Overview

                                                  -

                                                  We Are:

                                                  -

                                                  The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

                                                  -

                                                  You Are:

                                                  -

                                                  An expert at solving real-world challenges with data, analytics, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. And you’re the spark, enabling your team to help clients scale data into value.

                                                  -

                                                  What You’ll Do:

                                                  -
                                                    -
                                                  • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients
                                                  • -
                                                  • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                                  • -
                                                  • Stay abreast of AI/ML technologies, academic researches & hands-on techniques
                                                  • -
                                                  • Lead small teams to develop innovative solutions for clients across functions & industries
                                                  • -
                                                  -

                                                  Qualifications

                                                  -

                                                  What We’re Looking For:

                                                  -
                                                    -
                                                  • At least 5 years embracing challenges with data science lifecycle in enterprise setting
                                                  • -
                                                  • At least 3 years developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning
                                                  • -
                                                  • At least 3 years working with data science tools: e.g. Python, Plotly, Flask & Git
                                                  • -
                                                  • At least 3 years designing & operating tools & services in cloud environments: e.g. GCP, Azure, AWS & Databricks
                                                  • -
                                                  • At least 3 years orchestrating and maintaining AI/ML models in a production environment using MLOps/DevOps/DataOps tools: e.g. Docker, Kubernetes, MLFlow, Jenkins & CircleCI
                                                  • -
                                                  • At least 5 years storytelling with data and communicating findings to a non-technical audience
                                                  • -
                                                  • At least 2 years managing a data science team and providing technical leadership
                                                  • -
                                                  -

                                                  Bonus Point If:

                                                  -
                                                    -
                                                  • Graduate degree in data science or related disciplines: e.g. Applied Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                  • -
                                                  • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                  • -
                                                  • A blend of data science capability, industry and consulting expertise
                                                  • -
                                                  -
                                                  • Drive to learn and master new technologies and techniques
                                                  -

                                                  We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality.

                                                  -

                                                  To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers

                                                  -

                                                  It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.

                                                  -

                                                  Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

                                                  -

                                                  We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

                                                  -

                                                  Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com. - Ottawa,Ontario - Toronto

                                                  ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,aimasters@vectorinstitute.ai,https://www.accenture.com/ca-en/careers,,,2020-10-15T20:34:48.846Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/39457189-principal-data-scientist-at-accenture,,expired,2020-09-14T18:03:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, -e2cbf95b-b1e8-4cc6-a03b-7e06a34711f1,39605583,Vector Institute,AI Software Developer,on_site,"Toronto, ON, Canada",2020-09-18T20:57:28.391Z,"

                                                  POSITION SUMMARY

                                                  -

                                                  -

                                                  As a Vector AI Software Developer, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI.

                                                  -

                                                  -

                                                  Job classification commensurate with experience (i.e. AI Software Developer, Senior AI Software Developer, Principal AI Software Developer).

                                                  -

                                                  -

                                                  KEY RESPONSIBILITIES

                                                  -
                                                    -
                                                  • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                  • -
                                                  • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                  • -
                                                  • Design and develop open source software for applying AI research techniques to common problems;
                                                  • -
                                                  • Mentor industry sponsors on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                  • -
                                                  • Mentor researchers on software engineering best practices;
                                                  • -
                                                  • Develop prototypes and proofs of concept; and,
                                                  • -
                                                  • Report and present on software development including status and results.
                                                  • -
                                                  +

                                                  Job Location

                                                  +

                                                  Toronto-55 Yonge Street, 6th

                                                  +

                                                  Employment Type

                                                  +

                                                  Regular

                                                  -

                                                  PROFILE OF THE IDEAL CANDIDATE

                                                  +

                                                  Weekly Hours

                                                  +

                                                  37.5

                                                  ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/BI-Consultant--Enterprise-Data-Analytics_2108767-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-05-19T20:55:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/61831420-bi-consultant-enterprise-data-analytics-at-cibc,,expired,2021-05-07T17:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,College Diploma,New Posting, +7f87f9cc-e552-4ffc-af5a-edb835385c5e,61831819,BMO Financial Group,"Data Analysts & Data Scientists, Fall 2021 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON, Canada",2021-05-07T17:36:37.563Z,"

                                                  Address:

                                                  +

                                                  100 King Street West

                                                  -
                                                    -
                                                  • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred
                                                  • -
                                                  • Minimum of 2 years of experience in industry; experience across industries considered an asset
                                                  • -
                                                  • Demonstrated experience in machine learning and/or statistics
                                                  • -
                                                  • Demonstrated software engineering background with experience in production deployment
                                                  • -
                                                  • Demonstrated data engineering background working with messy real-world data
                                                  • -
                                                  • Demonstrated analytical skills to identify signal in data and feasibility of prediction
                                                  • -
                                                  • Strong knowledge and experience of Python and preferably C/C++ and C#
                                                  • -
                                                  • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                  • -
                                                  • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA)
                                                  • -
                                                  • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                                                  • -

                                                  -

                                                  Please apply using the link provided. Review of applications will begin September 28, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                  +

                                                  Job Family Group:

                                                  +

                                                  Technology

                                                  -

                                                  The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                  -

                                                  Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                  ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=97&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-10-18T20:57:00.000Z,False,0,75,665,https://talenthub.vectorinstitute.ai/jobs/39605583-ai-software-developer-at-vector-institute,,expired,2020-09-18T20:57:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Associate,Bachelors Degree,New Posting, -71b67d38-9427-48ba-b75c-1651f1bcba78,39667264,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, ON, Canada",2020-09-21T14:50:23.358Z,"

                                                  Learn from deep subject matter experts through mentoring and on the job coaching
                                                  Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                  Be encouraged to deepen your technical skills…whatever those may be.

                                                  -

                                                  Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                                  -

                                                  What will your typical day look like?

                                                  -

                                                  Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                                  -

                                                  About the team

                                                  -

                                                  Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                                  -

                                                  Enough about us, let’s talk about you

                                                  -

                                                  You are someone who has:

                                                  -
                                                    -
                                                  • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                                  • -
                                                  • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                                  • -
                                                  • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                                  • -
                                                  • 1+ years of hands-on experience with data management concepts
                                                  • -
                                                  • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                                  • -
                                                  • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                                  • -
                                                  -

                                                  Why Deloitte?

                                                  -

                                                  Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                  -
                                                    -
                                                  • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                  • -
                                                  • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                  • -
                                                  • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                  • -
                                                  -


                                                  The next step is yours

                                                  -

                                                  Sound like The One Firm. For You?

                                                  -

                                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                  -

                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                  ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-10-22T13:41:16.829Z,False,0,1,26,https://talenthub.vectorinstitute.ai/jobs/39667264-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,,expired,2020-09-21T14:50:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, -6b2e5c2e-f6d1-4fa9-8585-f0df7a2c420a,39703172,Canvass Analytics Inc.,Marketing Growth Lead,temporary,"Toronto, ON, Canada",2020-09-23T03:54:17.707Z,"

                                                  A Leader in Automating Intelligent Industrial Operations

                                                  -

                                                  Canvass AI is disrupting the industrial sector with its cutting-edge AI platform, by transforming industrial engineers into data and digital engineers. Backed by some of the world’s largest companies like Google’s Gradient Ventures, Canvass is democratizing the use of AI in day to day operations so industrial companies can build AI/ML models at scale and deploy them in production to gain business benefits in real time.​

                                                  -

                                                  The Canvass marketing team is responsible for developing brand awareness, go to market and growth opportunities to fuel continued acceleration & utilization of Canvass’ AI platform. Our work ranges from looking at dynamic and diverse ways to build out our community across the industry, make Canvass a reference point across the many industry segments we serve, expand across key global & strategic partnerships, enable our product & sales team with robust and relevant enablement, launch and manage campaigns to fuel continued growth, track metrics and reduce the sales cycle through innovation across our marketing programs and technology platform.

                                                  -

                                                  Job Description

                                                  -

                                                  As a Marketing Growth Lead, you will use your knowledge and experience to drive go to market and campaigns, launch relevant content to fuel awareness, get deep on analytics, U/X and A/B testing to maximize conversion rates and be up for filling in the gaps as we build out a world class marketing team to support the growth of Canvass.

                                                  -

                                                  Key Responsibilities

                                                  -
                                                    -
                                                  • Develop and launch campaigns to support our GTM (go to market) initiatives
                                                  • -
                                                  • Work with our Partner Team to support dedicated partner programs that land and expand across these key relationships
                                                  • -
                                                  • Manage the day to day requirements across key digital assets to drive increase in traffic, interactions and engagement
                                                  • -
                                                  • Savvy on content and execution of copy
                                                  • -
                                                  • Optimize conversion funnels on landing page experiences through quantitative and qualitative testing from acquisition to customer marketing - the full customer journey
                                                  • -
                                                  • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                  • -
                                                  • Proficiency in Hubspot, Wordpress, Google sheets and supporting the build out of the marketing tech stack to fuel growth
                                                  • -
                                                  • Proficiency with probability and statistics
                                                  • -
                                                  • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                  • -
                                                  • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                  • -
                                                  • Ability to turn complex data and insights into easily understood
                                                  • -
                                                  • Strong organizational, time management, and analytical skills
                                                  • -
                                                  -

                                                  Qualifications

                                                  -
                                                    -
                                                  • You are analytical and metrics driven with strong copywriting skills along with a hunger to test and experiment with new and innovative ideas
                                                  • -
                                                  • You live and breathe anything, and everything related to opportunity creation & growth because you consider yourself a strategist who can optimize lead-to-customer conversion rates and increase funnel marketing efficiencies
                                                  • -
                                                  • You have experience with improving and optimizing online user experience, with a focus on B2B conversions
                                                  • -
                                                  • You will combine processes with flexibility, data with wise iteration and curiosity with perseverance
                                                  • -
                                                  -

                                                  Required Skills

                                                  -
                                                    -
                                                  • 5-7 years of B2B demand generation experience
                                                  • -
                                                  • Ability to work in a fast-paced, dynamic work environment
                                                  • -
                                                  • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                  • -
                                                  • Familiar with HubSpot, WordPress and Salesforce
                                                  • -
                                                  • Proficiency in Google Sheets and data analysis
                                                  • -
                                                  • Proficiency with probability and statistics
                                                  • -
                                                  • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                  • -
                                                  • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                  • -
                                                  • Strong organizational and time management skills
                                                  • -
                                                  • Ability to turn complex data and insights into easily understood. Team Player and can work independently to achieve required goals
                                                  • -
                                                  • Roll up your sleeve get stuff done attitude with high growth start-up experience
                                                  • -
                                                  -

                                                  Your Benefits
                                                  -
                                                  -Some of the benefits you can expect as part of our team include:
                                                  -

                                                  -
                                                    -
                                                  • Awesome team and culture (every day)
                                                  • -
                                                  • Generous time off, including vacation and personal days personal days to help rejuvenate
                                                  • -
                                                  • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                  • -
                                                  • Flexible office policy, with options to work remotely
                                                  • -
                                                  • Attend Conferences to extend your knowledge and skills
                                                  • -
                                                  • Company-provided MacBooks and standing desks
                                                  • -
                                                  • Top technology and tools to excel at your role
                                                  • -
                                                  • Free team lunches
                                                  • -
                                                  -

                                                  Why Join Canvass?

                                                  -

                                                  Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                  -

                                                  What's it like working at Canvass?

                                                  -

                                                  This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                  -

                                                  -

                                                  ",careers@canvass.io,,annie.saiyid@canvass.io,http://www.canvass.io,,,2020-10-23T13:21:47.029Z,False,1,0,23,https://talenthub.vectorinstitute.ai/jobs/39703172-marketing-growth-lead-at-canvass-analytics-inc,,expired,2020-09-23T03:54:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Software,Mid-Senior Level,Bachelors Degree,New Posting, -dbb07238-855a-4c08-b75f-4ea02bf7790d,39734515,Uber,"AI Research Scientist, Self-Driving",on_site,"Toronto, ON, Canada",2020-09-23T13:47:44.890Z,"

                                                  Here at Uber's Advanced Technologies Group (ATG), we are on a mission to bring safe, reliable self-driving transportation to everyone, everywhere. We are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, Toronto, and Boulder are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. We are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.

                                                  -

                                                  At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it's not going to happen overnight. Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.

                                                  -

                                                  Our Research team is a group of diverse researchers, engineers, and computer scientists working to develop perception algorithms for self-driving vehicles. Reliability and scalability are key drivers for us as our software must perform across a large fleet of vehicles in complex and diverse operating areas.

                                                  -

                                                  About the Role

                                                  -

                                                  We are looking for Research Scientists to join our R&D team within Uber ATG. In this role, you will build the next generation of artificial intelligence algorithms to help Uber improve the lives of millions of people worldwide. You will collaborate and exchange research ideas with our current team, which includes world-renowned scientists specializing in deep learning, computer vision, and self-driving. You will also interact with the international research community by publishing research papers and attending conferences. We value original, high-impact ideas and meticulous experimental validation. Both senior and junior scientists are encouraged to apply.

                                                  -

                                                  What You'll Do

                                                  -
                                                    -
                                                  • Design, implement, train, and optimize novel algorithms that run at extremely low-latency on self-driving Uber vehicles and various production systems
                                                  • -
                                                  • Utilize large datasets of various sources, including raw sensor data such as Lidar, using large GPU compute clusters
                                                  • -
                                                  • Collaborate cross-functionally with research and engineering teams at Uber and communicate your work to colleagues and management
                                                  • -
                                                  • Write patents and submit publications to top machine learning, computer vision, and robotics conferences
                                                  • -
                                                  -

                                                  Basic Qualifications

                                                  -
                                                    -
                                                  • A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels
                                                  • -
                                                  • Knowledge of machine learning commensurate with education/experience level and a publication record as relevant to education level
                                                  • -
                                                  -

                                                  Preferred Qualifications

                                                  -
                                                    -
                                                  • Excellent software development skills in C/C++ and/or Python
                                                  • -
                                                  • A very strong quantitative background
                                                  • -
                                                  • Machine learning areas of special interests include: CNNs, RNNs, distributed GPU computing, detection, prediction, motion planning, mapping and localization
                                                  • -
                                                  • Excellent presentation and communication skills
                                                  • -
                                                  -

                                                  About Uber

                                                  -

                                                  At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                                  -

                                                  We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together.

                                                  -

                                                  Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

                                                  -

                                                  If you have a disability or special need that requires accommodation, please let us know by completing this form.

                                                  ",,https://www.uber.com/global/en/careers/list/61897/,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-10-23T13:47:00.000Z,False,0,48,249,https://talenthub.vectorinstitute.ai/jobs/39734515-ai-research-scientist-self-driving-at-uber,,expired,2020-09-23T13:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -7406b94f-1c26-4a81-8b9e-af3f2e842b5b,39780597,Sun Life Financial,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2020-09-24T12:57:41.909Z,"

                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                  -

                                                  Job Description:

                                                  -

                                                  Role Summary

                                                  +

                                                  As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                  -

                                                  The direction we pursue in Advanced AI Initiative team is to extract actionable insights from structured and unstructured datasets using advanced machine learning techniques. We have various initiatives regarding the application of such techniques in different business areas. In this role, you will help us to integrate datasets, implement machine learning models and evaluate such models in real world applications. This role consists of a significant amount of research and development on speech technologies, natural language processing techniques and deep learning methods, as well as traditional machine learning solutions.

                                                  +

                                                  Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                  -

                                                  What will you do?

                                                  -
                                                    -
                                                  • Research and source relevant data from internal business systems, external free and commercial data products
                                                  • -
                                                  • Use statistical methods to test finding through prototyping and scenario testing
                                                  • -
                                                  • Use core AI and Big Data tools to solve business problems
                                                  • -
                                                  • Identify cutting edge algorithmic solutions available in AI domain that might be applicable to our business problems.
                                                  • -
                                                  • Customize the best practices in industrial techniques toward using Data Science for our projects.
                                                  • -
                                                  • Extract actionable insights from big unstructured datasets which we have access to, by using advanced machine learning methods.
                                                  • -
                                                  • Create visualizations that helps to transform data into actionable insights for non-experts
                                                  • -
                                                  • Help to develop working application prototypes
                                                  • -
                                                  • Present your work/findings to a wide audience from beginner to experts
                                                  • -
                                                  • Participate in communication with business sponsors
                                                  • -
                                                  +

                                                  Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @bmooncampus & Instagram @bmo_on_campus.

                                                  -

                                                  What do you need to succeed?

                                                  -
                                                    -
                                                  • Extensive knowledge of Machine Learning and Deep Learning tools and concepts.
                                                  • -
                                                  • Experience with Automatic Speech Recognition systems, Natural Language Processing and Information Extraction tools and techniques.
                                                  • -
                                                  • Hands on experience with Python, particularly with data science related packages and visualization techniques.
                                                  • -
                                                  • Experience with Deep Learning frameworks such as Tensorflow or PyTorch
                                                  • -
                                                  • Ability to work independently with little supervision and also perform well in team projects.
                                                  • -
                                                  • Good knowledge of database concepts and SQL.
                                                  • -
                                                  • Solid production level coding skills.
                                                  • -
                                                  • Good communication skills
                                                  • -
                                                  • Strong research, problem solving and analytical skills
                                                  • -
                                                  • Ability to think outside the box
                                                  • -
                                                  +

                                                  Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                  -

                                                  Education and Experience

                                                  -
                                                    -
                                                  • University degree in computer science , computer engineering, electrical engineering, math or other relevant fields. A graduate degree (MS or PhD) is preferred.
                                                  • -
                                                  • 5+ years experience in data science, AI and related topics.
                                                  • -
                                                  +

                                                  To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                  -

                                                  What will be good to have?

                                                  -
                                                    -
                                                  • Experience with C/C++, Java, Scala, R
                                                  • -
                                                  • Experience working with SQL/Unix command-line
                                                  • -
                                                  • Published paper in AI conference such as NeurIPS, ICML, ICLR and etc.
                                                  • -
                                                  • Experience in signal processing and pattern recognition
                                                  • -
                                                  • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi
                                                  • -

                                                  -

                                                  What's in it for you?

                                                  +

                                                  Ensures the quality of the products that technology delivers, working closely with all applications, common services/middleware, and infrastructure teams throughout the development/engineering lifecycle. Designs, develops, executes, and maintains test plans of infrastructure, common services/middleware, data, and applications in various environments. Records and documents testing results (including anomalies and issues) and compares them to expected results. Detects solution failures so that defects may be discovered and corrected. Generates historical analysis of test results and maintains a list/repository of defects. Reviews and interprets all documentation related to testing, including business requirements and functional and design specifications, to provide input to the project team on the planning of testing activities. Provides immediate response to production program problems.

                                                    -
                                                  • Competitive salary and bonus structure influenced by market range data
                                                  • -
                                                  • Entitlement to 4 weeks vacation, flexible benefits, pension, stock and savings program
                                                  • -
                                                  • A friendly, collaborative and inclusive culture
                                                  • -
                                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                  • +
                                                  • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                  • +
                                                  • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                  • +
                                                  • Reviews, evaluates, and derives requirements for testability.
                                                  • +
                                                  • Designs, develops, executes, and maintains testing strategies and plans to ensure stability and efficiency, enabling a seamless customer experience.
                                                  • +
                                                  • Executes and verifies test cases as part of the overall functional testing of Information Technology products as well as reporting defects and test results to the stakeholders.
                                                  • +
                                                  • Recommends approaches to streamline and integrate technological processes and systems in the organization to improve overall efficiency and improve the bank.
                                                  • +
                                                  • Ensures the accuracy and consistency of test results through documentation processes. Follows BMO’s SDLC process.
                                                  • +
                                                  • Communicates the overall quality of a deliverable and ensures metrics are used to drive delivery and identify any areas of concern.
                                                  • +
                                                  • Participates in programs/projects across the enterprise.
                                                  • +
                                                  • Participates as an active stakeholder in every initiative, driving quality based on fact-based metrics.
                                                  • +
                                                  • Ensures development teams’ unit testing practices are in place and confirms core criteria met prior to integrated testing delivery.
                                                  • +
                                                  • Proactively provides improvement opportunities to the team to enhance the customer experience.
                                                  • +
                                                  • Drives the testing automation capabilities.
                                                  • +
                                                  • Identifies opportunities to strengthen the quality assurance capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                                  • +
                                                  • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                  • +
                                                  • Focus may be on a business/group.
                                                  • +
                                                  • Thinks creatively and proposes new solutions.
                                                  • +
                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                  • +
                                                  • Works mostly independently.
                                                  • +
                                                  • Broader work or accountabilities may be assigned as needed.



                                                    Qualifications:

                                                    +
                                                  • +
                                                  • As a full-time employee, we would require 1-2 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                  • +
                                                  • Knowledge of the SDLC, testing concepts, methodologies, metrics, automated testing frameworks and BMO documentation standards.
                                                  • +
                                                  • Understanding of BMO applications and infrastructure components.
                                                  • +
                                                  • Problem solving skills including the ability to troubleshoot and identify problem areas throughout testing.
                                                  • +
                                                  • Collaborate well with others. Ability to translate technical concepts into easy to understand terms.
                                                  • +
                                                  • Able to analyze data and use testing metrics to highlight improvement opportunities.
                                                  • +
                                                  • Specialized knowledge from education and/or business experience.
                                                  • +
                                                  • Verbal & written communication skills - In-depth.
                                                  • +
                                                  • Collaboration & team skills - In-depth.
                                                  • +
                                                  • Analytical and problem solving skills - In-depth.
                                                  • +
                                                  • Influence skills - In-depth.

                                                  -

                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                  -

                                                  -

                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                  -

                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                  +

                                                  We’re here to help

                                                  -

                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Machine-Learning-Engineer_JR00034583?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-10-13T14:19:00.000Z,False,0,7,86,https://talenthub.vectorinstitute.ai/jobs/39780597-machine-learning-engineer-at-sun-life-financial,,expired,2020-09-24T12:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -dc30619e-f178-4689-9491-3ca7cd833b8a,39914430,Manulife,Data Engineer - Data Operations Team,on_site,"Waterloo, ON, Canada",2020-09-28T13:39:38.809Z,"

                                                  Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                  +

                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                  -

                                                  Job Description

                                                  +

                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                  -

                                                  The Data Operations team is a unique, multi-faceted team that delivers shared services as well as project work. As such we work closely with all the teams within Canada Data Office to ensure best practices, product delivery, innovation & optimization of code and infrastructure. We partner closely with the Data Architecture team to enable strategic / foundational as well as business-driven objectives. The Data Engineer will play a key role in all aspects of shared service such as building and maintaining DevOps / DataOps pipelines, as well as product delivery that requires building out data pipelines for consumption & visualization.

                                                  +

                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                  -

                                                  Responsibilities for this role include:

                                                  +

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  ",,https://jobs.bmo.com/ca/en/job/R210010189/Data-Analysts-Data-Scientists-Fall-2021-Co-op-Internship-4-Months,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-06-06T17:36:00.000Z,True,0,14,133,https://talenthub.vectorinstitute.ai/jobs/61831819-data-analysts-data-scientists-fall-2021-co-op-internship-4-months-at-bmo-financial-group,,expired,2021-05-07T17:36:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +9bf8d17d-4c2f-4d70-8c49-cf6f3fdb70fb,61832286,BMO Financial Group,Senior Data Analyst,on_site,"Toronto, ON, Canada",2021-05-07T17:38:04.223Z,"

                                                  Address:

                                                  +

                                                  120 Bloor Street East

                                                  -

                                                  • Builds, codes, tests, maintain high quality software with a focus on implementing best practice and industry standards
                                                  • Participates in Agile sprints and ceremonies; partakes in good documentation and follow disciplined approaches for timely delivery & communication of project progress

                                                  -

                                                  • Initialize and manage cloud platforms especially Azure
                                                  • Works closely with data architects to implement / optimize frameworks for improved efficiencies and modernizing applications within CDO

                                                  -

                                                  • Develops & maintains DevOps & data pipelines, application framework, infrastructure for data generation. Investigate and analyze root cause/issues of the failures. Ex. data, source feeds, etc.

                                                  -

                                                  • Contribute to release management and access control management

                                                  -

                                                  • Contribute to the governing of best coding practices; identifying and implementing internal process improvements

                                                  -

                                                  • Contributes to the success of a team, demonstrates high respect for the team and sets high self-expectations

                                                  -

                                                  • Provide training, collaborate with team members; coach and be coached, participate in code reviews, share skills and methodologies to upskill CDO

                                                  Job Requirements for this role are as follows:

                                                  -


                                                  • Demonstrated 3-5 years of professional experience in related industry with experience in platform or application support and including a University degree and or master’s degree in Engineering, Computer Science or equivalent quantitative program

                                                  -

                                                  • Strong working knowledge of agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features
                                                  • Experience with implementing data quality/metadata solutions; Analytics and Business Intelligence technologies such as PowerBI, DB Visualizer, etc.

                                                  -

                                                  • Experience in writing SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments

                                                  -

                                                  • Understanding of software development lifecycle & respect for the benefits that can be gained through SDLC
                                                  • Understanding of how technology supports Manulife business strategy
                                                  • Familiar with big data technologies such as Hadoop, CDP, tools & techniques for data ingestion, data modeling & transformation: Sqoop, Nifi, Python, Spark, Snowflake, conceptual & physical data modeling
                                                  • Familiar with technologies such as: Informatica

                                                  -

                                                  • Familiar with scripting languages
                                                  • Staying abreast of developments in own technical discipline and able to recognize and translate these to own working env't
                                                  • Participates in functional demos utilizing new tech; less controls required
                                                  • Constantly learns from both success and failure, lead and follow seamlessly
                                                  • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                  • Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes
                                                  • Experiments with emerging technologies and understanding how they will impact what comes next.

                                                  -

                                                  This is a full time permanent role that can be worked from our Toronto and Waterloo office.

                                                  +

                                                  Job Family Group:

                                                  +

                                                  Technology

                                                  -


                                                  If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                  -


                                                  About Manulife

                                                  -

                                                  Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                  -



                                                  -

                                                  Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                  ",,https://jobs.manulife.com/ShowJob/JobId/969781/DataEngineerDataOperationsTeam,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-02T21:46:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/39914430-data-engineer-data-operations-team-at-manulife,,expired,2020-09-28T13:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -56a03cee-2c48-46e9-863f-8f0fd4804e4b,39914614,BenchSci,Junior Full Stack Engineer,on_site,"Toronto, ON, Canada",2020-09-28T14:59:28.945Z,"

                                                  BenchSci exponentially increases the speed and quality of life-saving research by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime and Google’s AI fund, Gradient Ventures, BenchSci uses machine learning to diagnose pharmaceutical R&D health from hidden patterns in procurement data. A turnkey application of AI with immediate, quantifiable impact, BenchSci now optimizes reagent procurement and experimental success in 15 of the top 20 pharmaceutical companies and over 4,300 leading academic centers globally.

                                                  We are looking for a Junior Full Stack Engineer to join our growing Reagent Platform Team. You will work on BenchSci's main search product that helps scientists to find biological reagents for their experiments. Reporting into the Engineering Manager, you will work with other BenchSci engineers to solve challenging product problems, review core pieces of your code, and shape the future of scientific discovery. Although you won’t be expected to have all the answers, you will be expected to shape your own learning experience, ask for help when you need it, and always deliver high-quality results.

                                                  -

                                                  You Will:

                                                  -
                                                      -
                                                    • Build out features for our Reagent Platform, from product design and architecture to launch, under the guidance of our Tech Leads and Engineering Managers
                                                    • -
                                                    • Translate customer and internal requirements to technical tasks
                                                    • -
                                                    • Provide troubleshooting analysis and resolution in a timely manner
                                                    • -
                                                    • Create dynamic code to ensure the ease of maintenance and future enhancements
                                                    • -
                                                    • Have opportunities to work both independently and in pair-programming settings
                                                    • -
                                                    • Work with a highly collaborative team
                                                    • -
                                                    • Be given an unmatched opportunity for growth and development, and to learn from a team of world-class engineers
                                                    • -
                                                    • Work on client facing projects involving some of the largest Pharmaceutical companies in the world
                                                    • -
                                                    • Manage your code by troubleshooting, debugging, and fixing issues
                                                    • -
                                                    • Design testable, scalable solutions to complex problems using the latest frameworks and tools
                                                    • -
                                                    • Feel challenged and engaged as you’re exposed to new opportunities that will require you to push yourself
                                                    • -
                                                  -

                                                  You Have:

                                                  -
                                                      -
                                                    • 1 year of experience as a professional developer or equivalent experience in the form of internships and/or co-ops
                                                    • -
                                                    • Experience with JavaScript and a framework like React or Angular (we use React)
                                                    • -
                                                    • Working knowledge of SQL, databases, APIs and full stack solutions
                                                    • -
                                                    • Innate curiosity and a desire to learn and grow
                                                    • -
                                                    • Eagerness to share your own ideas and openness to those of others
                                                    • -
                                                    • A sense of excitement about working in a startup environment
                                                    • -
                                                  -

                                                  Nice to haves, but not mandatory qualifications:

                                                  -
                                                    • Experience with Python and Django
                                                  -

                                                  Our benefits and perks:

                                                  -
                                                      -
                                                    • A compensation package that includes equity options in the company
                                                    • -
                                                    • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                    • -
                                                    • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                    • -
                                                    • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                    • -
                                                    • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                    • -
                                                    • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                    • -
                                                    • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                    • -
                                                    • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                    • -
                                                    • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                    • -
                                                    • A great benefits package: Including health and dental
                                                    • -
                                                  -

                                                  Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                  ",,https://jobs.lever.co/benchsci/fcaf4b68-fdd1-4d98-bd27-69f9196a118c,aimasters@vectorinstitute.ai,,,,2020-10-13T14:17:00.000Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/39914614-junior-full-stack-engineer-at-benchsci,,expired,2020-09-28T14:59:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, -0de6ddd5-7dff-479c-916c-0e4ee2639397,39914894,BMO Financial Group,Marketing Insights Analyst,on_site,"Toronto, ON, Canada",2020-09-28T17:34:26.480Z,"

                                                  We are looking for a talented individual to join our team in the position of Marketing Insights Analyst. The primary responsibility is to leverage customer data to deliver recommendations that drive optimal customer journeys and experiences.

                                                  -

                                                  The role will sit within the Advanced Analytics & Data Science Team in Marketing Analytics team and support Marketing across BMO FG with proactive, actionable insights for both Retail and Wealth customers. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and will be involved in all stages of projects from intake, prioritization, tracking, and presentations to stakeholders and senior executives.

                                                  -

                                                  The Marketing Analytics Insights Analyst will work with other analytics group within BMO to develop the analytics community, provide thought leadership and set best practices in analytics across BMO.

                                                  +

                                                  Job Description

                                                  +

                                                  The role of Senior Data Analyst with Finance Technology is to work with both business and technology stakeholders on the transformation of the banks legacy systems to the new ledger system

                                                  +

                                                  The Senior Data Analyst with Finance Technology will focus mainly on analyzing financial data in relationship to understanding on how it is applies to the banks legacy general ledger systems and the new general ledger system. The individual will be accountable for presenting findings, developing solutions and recommendation to the stakeholders on how the data is maps from legacy to new general ledger systems.

                                                  +

                                                  As part of the analysis work, the individual will also look to initiative prioritization, data aggregation, data cleansing, data enrichment, data consumption, data visualization and cultivate a leading practice relating to data & analytics. The role advances the organization’s ability to identify and analyze complex business issues that are difficult to resolve without effective data management, analytics, modeling, and reporting.

                                                  -

                                                  Key Accountabilities

                                                  -

                                                  Analytic Capabilities & Critical Thinking

                                                  -
                                                    -
                                                  • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                  • -
                                                  • Supports data collection, integration, and retention requirements for both data and customers
                                                  • -
                                                  • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                  • -
                                                  • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                  • -
                                                  • Works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable marketing outcomes and create a distinctive customer experience
                                                  • -
                                                  • Leverage customer and digital data to develop analytical self-service tools and strategic insights to help our marketing partners understand their customer behaviours to provide personalized offers
                                                  • -
                                                  • Applies innovative and best practices to advanced analytics services to ensure high quality standards.

                                                    Leadership and Relationship Management

                                                    -
                                                  • -
                                                  • Determines the best approach for eliciting, analyzing, validating, and prioritizing requests to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
                                                  • -
                                                  • Ensure effective project tracking and status reporting using Workfront project management software
                                                  • -
                                                  • Ensures effective communication with all necessary stakeholders, presents results to executives
                                                  • -
                                                  • The individual will have an end-to-end project accountability beginning with understanding the business KPIs. They will leverage their expertise to go beyond the request to address the business problem, and be able to explain technical results to a non technical audience and related them to business KPIs
                                                  • -
                                                  • Provide thought leadership on how analytics can help resolve business opportunities
                                                  • -
                                                  -

                                                  Cross Functional Relationships

                                                  -

                                                  This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders: Managers and Senior Managers within Marketing and in lines of Business, Technology and Operations

                                                  -

                                                  Knowledge & Skills

                                                  -

                                                  Knowledge

                                                  +

                                                  Responsibilities

                                                    -
                                                  • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                  • -
                                                  • 1+ year of applicable experience.
                                                  • -
                                                  • Strong foundation in data and analysis.
                                                  • -
                                                  • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                  • -
                                                  • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
                                                  • +
                                                  • Leverage the existing tools, processes and best practices associated with application packaging such that documented user requirements are satisfied while adhering to BMO technical standards
                                                  • +
                                                  • Analyzing and interpret data to be able to provide updates to stakeholders
                                                  • +
                                                  • Providing requirements for our technology partners
                                                  • +
                                                  • Continuously optimizing existing processes
                                                  • +
                                                  • Focus is primarily on financial business/group within BMO; may include broader enterprise-wide focus
                                                  • +
                                                  • Act as a subject matter expert on GL data sources, systems and reporting options.
                                                  • +
                                                  • Consult with colleagues and business partners to understand goals and objectives to influence analysis, quantification, forecasting, and/or data visualization strategies
                                                  • +
                                                  • Works with stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs
                                                  • +
                                                  • Recommend strategies that align with business needs that enable fact based analysis and participate in the creation of consumption strategies
                                                  • +
                                                  • Build, develop and maintain effective relationships with stakeholders
                                                  • +
                                                  • Lead our technology partners in required changes
                                                  +

                                                  Skills

                                                    -
                                                  • Experience with customer database and programming queries in SAS or SQL (Python, R, Hadoop experience an asset)
                                                  • -
                                                  • Experience in data visualization preferred, including visualization software such as Power BI, Spotfire or Tableau.
                                                  • -
                                                  • Influential skills sufficient to resolve situations where others need to be convinced of the value of preferred options or alternatives
                                                  • -
                                                  • Well-developed presentation / analytical skills sufficient to:
                                                  • -
                                                  -
                                                    -
                                                  • Provide detailed explanation and interpretation of factual and conceptual information and ideas
                                                  • -
                                                  • Creatively and precisely articulate ideas that involve interpretation, analysis and assessment
                                                      -
                                                    • Ability to interact with all levels of end users and technical resources.
                                                    • -
                                                    • Project planning and management skills sufficient to establish, prioritize and coordinate objectives for a variety of non-routine assignments or projects
                                                    • -
                                                    • Ability to plan, organize and work on multiple tasks simultaneously, and in a deadline-driven environment
                                                    • -
                                                    • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                    • -
                                                    -
                                                  • +
                                                  • Have strong banking financial knowledge
                                                  • +
                                                  • Have accounting knowledge
                                                  • +
                                                  • Well versed in SQL to create complex queries to pull data from various sources
                                                  • +
                                                  • Excel knowledge and use of macros
                                                  • +
                                                  • Understanding of SDLC
                                                  • +
                                                  • Understanding of Quality Assurance (use of HP ALM)
                                                  • +
                                                  • Understanding agile/waterfall methodology
                                                  • +
                                                  • Can work as independent worker or in a team
                                                  • +
                                                  • Be adaptable and can work in ambiguous environment
                                                  • +
                                                  • Build strong working relationships internally and externally
                                                  • +
                                                  • Possesses good communication, facilitation and people skills
                                                  • +
                                                  • Understanding hierarchy data
                                                  • +
                                                  • Anticipates and reduces complexity for others.
                                                  • +
                                                  • Conducts independent analysis and assessment to resolve strategic issues
                                                  • +
                                                  • Ability to work independently individually and in groups
                                                  • +
                                                  • Excellent quantitative and analytical skills
                                                  • +
                                                  • Strong problem solving, critical thinking, written and verbal communication skills
                                                  • +
                                                  • Organizational skills, possesses data analytical and data management skills with the ability to collect, organize, analyze, correlate, cleanse and disseminate significant amounts of raw data into meaningful information with attention to detail and accuracy.

                                                  +

                                                  Nice to have

                                                  +
                                                  • Worked with database Hadoop and Netezza

                                                  -

                                                  Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                  +

                                                  Qualifications:

                                                    -
                                                  • Builds effective relationships with internal/external stakeholders.
                                                  • -
                                                  • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                  • -
                                                  • Designs, develops, and implements innovative analytical solutions.
                                                  • -
                                                  • Designs and produces regular and ad-hoc reports, and dashboards.
                                                  • -
                                                  • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                  • -
                                                  • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                  • -
                                                  • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                  • -
                                                  • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                  • -
                                                  • Designs, develops, and implements innovative analytical solutions.
                                                  • -
                                                  • Designs and produces regular and ad-hoc reports, and dashboards.
                                                  • -
                                                  • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                  • -
                                                  • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                  • -
                                                  • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                  • -
                                                  • Analyzes data and information to provide subject-matter insights and recommendations.
                                                  • -
                                                  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                  • -
                                                  • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                  • -
                                                  • Builds effective relationships with internal/external stakeholders.
                                                  • -
                                                  • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                  • -
                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                  • -
                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                  • -
                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                  • -
                                                  • Broader work or accountabilities may be assigned as needed.

                                                    Qualifications:

                                                    -
                                                  • -
                                                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                  • -
                                                  • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                  • +
                                                  • 5+ years of experience as data analyst/business analyst
                                                  • +
                                                  • Bachelors in Computer Science or equivalent
                                                  • +
                                                  • Extensive use of analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                                  • +
                                                  • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                                  • +
                                                  • Experience with modern data science and analytics tools is a requirement (e.g., SQL, Hadoop, Netezza, Aginity, DBVisualizer, Spotfire, etc.)
                                                  • +
                                                  • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                                  • +
                                                  • Demonstrates writing and documentation skills.
                                                  • +
                                                  • Understands and can explain to others the core processes involved in their area of support.
                                                  • Technical proficiency gained through education and/or business experience.
                                                  • -
                                                  • Verbal & written communication skills - In-depth.
                                                  • -
                                                  • Collaboration & team skills - In-depth.
                                                  • -
                                                  • Analytical and problem solving skills - In-depth.
                                                  • -
                                                  • Influence skills - In-depth.
                                                  • -
                                                  • Data driven decision making - In-depth.
                                                  • +
                                                  • Verbal & written communication skills - In-depth

                                                  -

                                                  We’re here to help

                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                  To find out more visit us at https://bmocareers.com.

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Marketing-Insights-Analyst_R200010824,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-10-28T17:34:00.000Z,False,0,9,43,https://talenthub.vectorinstitute.ai/jobs/39914894-marketing-insights-analyst-at-bmo-financial-group,,expired,2020-09-28T17:34:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e3f9148d-2f13-486a-8a63-f63843e7107a,40195372,Deloitte,"Analyst, Financial Advisory, Analytic Insights",on_site,"Toronto, ON, Canada",2020-10-05T14:51:13.120Z,"

                                                  Partner with clients to solve their most complex problems
                                                  Be expected to share your ideas and to make them a reality.

                                                  -

                                                  Play a leading role in solving complex finance business challenges through data exploration and analytics

                                                  -

                                                  Our Mission is to Lead the Canadian market in delivering data driven insights and analytic solutions to help clients increase stakeholder value in their defining moments.

                                                  -

                                                  -

                                                  Are you a team-player who likes to collaborate and contribute to the mission and success of a broader like-minded team? Is the prospect of furthering a culture of inspiring and empowering our people, fixating on client value, and innovating toward a data/etch enable future exciting for you? Then this job is perfect for you!

                                                  -

                                                  What will your typical day look like?

                                                  -

                                                  -

                                                  -

                                                  -

                                                  +

                                                  We’re here to help

                                                  -

                                                  As an Analyst you will work in a fast growing and challenging environment with like-minded people who are eminent in their respective technical fields such as Applied Mathematics, Computer Science, Database Optimization, Statistics, Machine Learning, Data Mining, Data Visualization, and much more. You will experience the growth of a practice totally dedicated to the art and science of using data to help clients drive business decisions related to mergers and acquisitions as well as value creation / business improvement initiatives. You will continue your professional development to expand your chosen career path while working with high profile clients who need analytics support for their top priority initiatives and strategies.
                                                  You will develop advanced analytical solutions within our analytics team, across service lines at Deloitte, and with clients in multiple industries.

                                                  -

                                                  About the team

                                                  -

                                                  +

                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                  -

                                                  -

                                                  +

                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                  -

                                                  Deloitte’s Analytic Insights team transforms data into actionable insights - to support strategic decisions that amplify stakeholder value. The team focuses on three business areas to drive value for clients: i) Leverage analytics to generate deeper data-driven insights and optimize decisions across the M&A cycle, ii) Analytics for operational efficiency, to drive productivity and cost control, and iii) Advanced analytics to identify opportunities for profitable revenue growth. Our team is comprised of a mix of deep technical expertise in the statistical and analytics fields and business professionals with the experience to leverage insights to drive business decisions.

                                                  -

                                                  Enough about us, let’s talk about you

                                                  -

                                                  +

                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                  -

                                                  -

                                                  +

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  ",,https://jobs.bmo.com/ca/en/job/R210009031/Senior-Data-Analyst,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-06-06T17:38:06.450Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/61832286-senior-data-analyst-at-bmo-financial-group,,expired,2021-05-07T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +cc55aa47-e473-45e0-9eac-60b3d9195c72,61833075,Google,"Research Intern, Bachelors, Fall 2021",on_site,"Toronto, ON, Canada",2021-05-07T17:43:15.379Z,"

                                                  +

                                                  Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                  +

                                                  Please complete your application before July 30, 2021.

                                                  +

                                                  This internship is intended for students who are pursuing a Bachelor's degree with an anticipated graduation date on or after December 2021, depending on their program and unique circumstances.

                                                  +

                                                  To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                  +
                                                    +
                                                  1. In the “Resume"" section, attach an updated CV or resume. Ensure any proficiency in coding languages are listed on resume.
                                                  2. +
                                                  3. In the “Higher education"" section, fill out the fields accordingly and select “Now attending” under ""Degree status"". Then, upload a current or recent unofficial or official transcript in English.
                                                  4. +
                                                  +


                                                  Note: By applying to this position you will have an opportunity to share your preferred working location for this position from the following: Montreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada

                                                  -


                                                  • Completed undergraduate degree in a quantitative discipline (Math, Commerce, Economics, Data Science, Business, Computer Science, Engineering, etc);
                                                  • Some work experience or strong educational background in an analytical field (Business Analysis, Data Science, etc);
                                                  • An understanding of data architecture and integrating data from various sources to develop an analytical data set; some experience with visualizing data with tools such as Tableau or Power BI; some experience in machine learning with R, Python, SAS, etc;
                                                  • Understanding of business needs with a focused on solving business problems with data-driven analytical solutions;
                                                  • Superior verbal and written communication skills.

                                                  -

                                                  Why Deloitte?

                                                  -

                                                  Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                  +

                                                  Qualifications

                                                  +

                                                  Minimum qualifications:

                                                    -
                                                  • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                  • -
                                                  • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                  • -
                                                  • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                  • +
                                                  • Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences or a related technical field.
                                                  • +
                                                  • Experience in one area of computer science, e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar.
                                                  -


                                                  The next step is yours

                                                  -

                                                  Sound like The One Firm. For You?

                                                  -

                                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                  -

                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                  ",,https://careers.deloitte.ca/job/Toronto-Analyst%2C-Financial-Advisory%2C-Analytic-Insights-ON-M5C-3G7/677482400/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-11-04T18:19:47.089Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/40195372-analyst-financial-advisory-analytic-insights-at-deloitte,,expired,2020-10-05T14:51:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -ffd5c7b1-98b0-43f2-822b-52d2fa8950bb,40195733,Loblaw Companies Ltd.,Data Scientist - Media Measurement,on_site,"Brampton, ON, Canada",2020-10-05T17:31:14.697Z,"

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  +

                                                  Preferred qualifications:

                                                  +
                                                    +
                                                  • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                  • +
                                                  • Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB, Go, Python, or similar.
                                                  • +
                                                  • Relevant experience as a researcher, including internships, full-time, or at a lab.
                                                  • +
                                                  • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
                                                  • +
                                                  • Ability to speak and write in English fluently and idiomatically.
                                                  • +
                                                  • Ability to design and execute a research agenda.
                                                  • +
                                                  +

                                                  About the job

                                                  +

                                                  Join us for a 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                  +

                                                  Research Interns aren't cloistered in the lab, but instead they work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects, as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Interns and Software Engineers work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more. As a Research Intern, you will work on a specific project critical to Google’s needs. You might also stay connected to your research roots as a contributor to the wider research community by publishing papers.

                                                  +

                                                  There is always more information out there, and our research teams have a quest to find new ways to make it accessible and useful. We're constantly refining our signature search engine to provide better results, expanding the scope and utility of our data-analytics systems, enhancing our Cloud applications and infrastructure, among a broad range of other Google products.

                                                  +

                                                  Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                  +

                                                  Responsibilities

                                                  +
                                                  • Participate in cutting-edge research to develop solutions for real-world, large-scale problems.
                                                  +

                                                  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.

                                                  +

                                                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                  ",,"https://careers.google.com/jobs/results/114613277775798982-research-intern-bachelors-fall-2021/?location=Toronto,%20Canada&q=data",aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-06-06T17:43:17.355Z,False,0,23,112,https://talenthub.vectorinstitute.ai/jobs/61833075-research-intern-bachelors-fall-2021-at-google,,expired,2021-05-07T17:43:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, +cd2655a6-90f2-49dd-9ac2-580ce8ff911e,61851059,Deloitte,"Machine Learning Operations (ML Ops) Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-07T19:44:06.526Z,"
                                                  +

                                                  Job Type: Permanent
                                                  Primary Location: Toronto, Ontario, Canada
                                                  All Available Locations: Toronto; Ottawa; Vancouver

                                                  +

                                                  Be encouraged to deepen your technical skills…whatever those may be

                                                  +

                                                  Learn from deep subject matter experts through mentoring and on the job coaching

                                                  +

                                                  Be empowered to lead and have impact with clients, our communities and in the office

                                                  +
                                                  +
                                                  +
                                                  +

                                                  +

                                                  Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                  +
                                                  +
                                                  +
                                                  +

                                                  What will your typical day look like?

                                                  +

                                                  +
                                                  +

                                                  As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                                                  +
                                                  +
                                                  +
                                                  +

                                                  About the team

                                                  +

                                                  +
                                                  +

                                                  Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                  +
                                                  +
                                                  +
                                                  +

                                                  Enough about us, let’s talk about you

                                                  +

                                                  +
                                                  +
                                                  +

                                                  You are someone with:

                                                  +
                                                  • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                                                  • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
                                                  • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
                                                  • Strong experience in Python used both for ML and automation tasks.
                                                  • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                  • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                                                  • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                  • Strong oral and written communication skills
                                                  • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                                                  • Experience with Azure or AWS platforms is an asset
                                                  • Project management experience is an asset
                                                  • Professional services, consulting, or advisory experience is an asset
                                                  • +
                                                  +
                                                  +
                                                  +
                                                  +

                                                  Why Deloitte?

                                                  +

                                                  Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                  +
                                                  • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                  • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                  • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                  • +
                                                  +


                                                  The next step is yours

                                                  +

                                                  Sound like The One Firm. For You?

                                                  +

                                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                  +

                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                  ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,feed-importer@jobboard.io,,,,2021-06-09T21:02:55.734Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/61851059-machine-learning-operations-ml-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,expired,2021-05-07T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +2399dbcd-392a-4310-b955-da6f78314413,62137117,Deloitte,"Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-08T19:44:05.040Z,"
                                                  +

                                                  Job Type: Permanent
                                                  Primary Location: Toronto, Ontario, Canada
                                                  All Available Locations: Vancouver; Montreal; Ottawa; Toronto

                                                  +

                                                  Learn from deep subject matter experts through mentoring and on the job coaching
                                                  Partner with clients to solve their most complex problems
                                                  Be empowered to lead and have impact with clients, our communities and in the office.

                                                  +
                                                  +
                                                  +
                                                  +

                                                  +

                                                  You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                  +
                                                  +
                                                  +
                                                  +

                                                  What will your typical day look like?

                                                  +

                                                  +
                                                  +
                                                  +

                                                  As a Data Engineer on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including ETL, data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                                  +

                                                  Specifically, in this role, you will:

                                                  +
                                                  • Engineer and architect ETL and BI/DW solutions to enable business analytics and drive insights
                                                  • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                  • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                  • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                                  • +
                                                  +
                                                  +
                                                  +
                                                  +
                                                  +

                                                  About the team

                                                  +

                                                  +
                                                  +
                                                  +

                                                  Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                  +

                                                  Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                  +
                                                  +
                                                  +
                                                  +
                                                  +

                                                  Enough about us, let’s talk about you

                                                  +

                                                  +
                                                  +
                                                  +

                                                  You are someone with:

                                                  +
                                                  • 3+ years experience with analysis, design, development, testing and deployment of ETL services in relational data warehouse environments on DB2, Oracle, SQL Server and/or SAP/HANA using technologies such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS and/or Talend for batch and/or real-time data processing
                                                  • 3+ years implementation experience with data warehouse architectures, data vaults, dimensional models, and/or star schema designs implemented on MPP, in-memory/columnar databases, cloud-based and/or RDBMS platforms
                                                  • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                                  • Experience with Agile development methods in data-oriented projects
                                                  • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired
                                                  • +
                                                  +

                                                  If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                  +

                                                  The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                  +
                                                  +
                                                  +
                                                  +

                                                  Why Deloitte?

                                                  +

                                                  Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                  +
                                                  • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                  • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                  • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                  • +
                                                  +


                                                  The next step is yours

                                                  +

                                                  Sound like The One Firm. For You?

                                                  +

                                                  At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                  +

                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                  ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,feed-importer@jobboard.io,,,,2021-06-09T21:02:29.857Z,False,0,4,37,https://talenthub.vectorinstitute.ai/jobs/62137117-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/720596400/,expired,2021-05-08T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +204813de-089f-4602-aae9-366b071734f8,33295701,Darwin AI,Full-Stack Developer,on_site,"Waterloo, ON, Canada",2020-04-13T17:31:05.791Z,"

                                                  WHO WE ARE LOOKING FOR

                                                  +

                                                  Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                  +

                                                  REQUIREMENTS

                                                  -

                                                  Why is this role important?

                                                  -

                                                  Deliver Measurement Products to Loblaw Media and Associate Partners.

                                                  +

                                                  Our ideal candidate possesses:

                                                  Must-have

                                                    -
                                                  • Develop and evolve measurement products at scale for external/internal partners
                                                  • -
                                                  • Understand current metrics and introduce new metrics to derive insights and recommendations for upcoming campaigns
                                                  • -
                                                  • Work with business stakeholders to generate insights and stories around campaign performance
                                                  • -
                                                  • Provide/present business explanation of analysis and results across the marketing funnel (top to bottom). Speak to media performance along with sales performance of campaigns activities
                                                  • -
                                                  • Function as an interpreter or an intermediary, identifying data needs and explaining the importance and use of data pertaining to measurement
                                                  • -
                                                  • Apply statistical techniques (i.e. z-statistic, P-value, anomaly reduction, etc.) to drive fact based decision making within marketing and external stakeholder groups
                                                  • -
                                                  • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                                                  • -
                                                  • Familiarity with google data studio and media metrics available
                                                  • +
                                                  • Min 3 years of web development experience.
                                                  • +
                                                  • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                  • +
                                                  • Must have worked with reactive development.
                                                  -

                                                  -

                                                  Ensure Solid Data

                                                  +


                                                  Preferable:

                                                    -
                                                  • Identifying data issues and solutions to remedy gaps
                                                  • -
                                                  • Work with partners to extract, transform, and load data from an extremely wide range of data sources into staging datasets and ultimately into visualization tools
                                                  • -
                                                  • Cleaning and validating the data to ensure accuracy, completeness and uniformity
                                                  • -
                                                  • Flag new data via external partner, internal partners or ad-hoc asks
                                                  • -
                                                  • Consolidate and normalize data from various system (production and reporting)
                                                  • -
                                                  • Working with log level data from platforms (i.e. The Trade Desk, Google Ads Data Hub, etc.) to augment and evolve measurement offerings
                                                  • +
                                                  • SQL
                                                  • +
                                                  • Data Visualization frameworks like D3, C3 etc
                                                  • +
                                                  • Basic knowledge of AWS
                                                  • +
                                                  • Agile development methodology.
                                                  • +
                                                  ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-05-14T14:10:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/33295701-full-stack-developer-at-darwin-ai,,expired,2020-04-13T17:31:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, +6a6df2a1-eb09-4696-aa3f-9edeaffcca14,33467668,Borealis AI,Infrastructure Engineer,on_site,"Toronto, ON, Canada",2020-04-17T22:34:44.740Z,"

                                                  What's the opportunity?

                                                  +

                                                  We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                  +

                                                  At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                  +

                                                  Your responsibilities include:

                                                  +
                                                    +
                                                  • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;
                                                  • +
                                                  • Designing, building, and optimizing comprehensive automation systems that operate the business’s web, mobile and data infrastructure platforms;
                                                  • +
                                                  • Deploying and managing cloud services on AWS, Azure, etc.;
                                                  • +
                                                  • Leveraging modern tools to define, build, and manage virtual infrastructure in the cloud (primarily on AWS);
                                                  • +
                                                  • Configuring automated service deployments with tools such as Ansible, Puppet, Chef or similar;
                                                  • +
                                                  • Collaborating with engineers, and machine learning researchers to consolidate ML frameworks and to automate code analysis, build, and integration.
                                                  -

                                                  -

                                                  Fashion Compelling Visuals

                                                  +

                                                  You're our ideal candidate if you have:

                                                    -
                                                  • Create stimulating visualizations to drive proof points to business partners
                                                  • -
                                                  • Optimize performance of dashboards and/or develop new dashboards
                                                  • -
                                                  • Presentation and communication of findings and business impacts to internal and external clients and management via dashboards/presentation decks
                                                  • +
                                                  • Strong and relevant experience designing and implementing distributed systems;
                                                  • +
                                                  • Hands-on experience building and deploying virtualized environments in major cloud environments, such as AWS and Azure;
                                                  • +
                                                  • Solid understanding of the UNIX operating system;
                                                  • +
                                                  • Proficiency with scripting languages, such as Bash, Python, or JavaScript;
                                                  • +
                                                  • Experience automating infrastructure, testing, and deploying cloud applications with tools such as Ansible, Jenkins, etc.;
                                                  • +
                                                  • Experience with monitoring and alerting solutions, like ELK stack and CloudWatch;
                                                  • +
                                                  • Experience on Jenkins, including setting up Jenkins pipelines to enable CI/CD.
                                                  -

                                                  -

                                                  Qualifications:

                                                  +

                                                  It would be great if you also have:

                                                    -
                                                  • Master’s or Bachelor’s in Data Science, Mathematics, Statistics, Economics, Engineering
                                                  • -
                                                  • 2-5 years of marketing experience with specific focus in digital marketing and/or CRM
                                                  • -
                                                  • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). SAS/SQL are mandatory
                                                  • -
                                                  • Experience with cloud platforms (i.e. GCP and Azure)
                                                  • -
                                                  • Strong knowledge of data management, practices and standards
                                                  • -
                                                  • Strong familiarity with direct marketing scientific principles (i.e. Predictive Models, Experiment Design, A/B testing, Significance/Sample Size calculations, Net Performance Measurements etc.)
                                                  • -
                                                  • Able to build and maintain effective working relationships with internal partners and team members
                                                  • -
                                                  • Strong oral and written communication skills
                                                  • +
                                                  • Production software development experience;
                                                  • +
                                                  • Development, deployment, or maintenance of machine learning applications;
                                                  • +
                                                  • Implementing monitoring solutions to identify and implement system bottlenecks and production issues;
                                                  • +
                                                  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                  -

                                                  -

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Media-Measurement_R2000186654,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-11-02T19:23:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/40195733-data-scientist-media-measurement-at-loblaw-companies-ltd,,expired,2020-10-05T17:31:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -7dbf6412-aeae-4e68-b160-508162cd94df,40195758,BMO Financial Group,Data Profiling and Analytics,on_site,"Toronto, ON, Canada",2020-10-05T17:39:04.442Z,"

                                                  Creates a culture where data is managed as a valuable corporate asset. Provides input to, and follows, data governance standards and processes to improve the quality of BMO data and reduce overall data risk for the designated business/group. Develops and implements data strategies, tactics, products and a curated data model to achieve business objectives. Reviews, designs and implements data governance practices and data management processes within the business/group in alignment with Enterprise Data Governance Operating Directive. Provides guidance on the interpretation of enterprise data governance policies and maintains alignment between data governance practices and the data strategy.

                                                  -

                                                  Qualifications:

                                                  +

                                                  What's in it for you?

                                                    -
                                                  • Monitors and reports on data management requirements and compliance issues, impacts and resolution status to leadership and data governance team.
                                                  • -
                                                  • Supports the assessment, root cause analysis, and formulating proposed solutions/remediation strategies.
                                                  • -
                                                  • Escalates data and compliance issues.
                                                  • -
                                                  • Conducts needs assessments, identifies gaps and provides suggestions to improve and streamline data management processes based on operational insights.
                                                  • -
                                                  • Documents and maintains operational procedures and processes.
                                                  • -
                                                  • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                  • -
                                                  • Develops stakeholder communications and training in support of data management process implementation.
                                                  • -
                                                  • Supports the resolution of data issues by coordinating stakeholders in the information chain.
                                                  • -
                                                  • Performs quality assurance activities to ensure handling, storage, and collection of data complies with Bank Policy and regulatory requirements.
                                                  • -
                                                  • Supports the management of BMO’s data as a key asset that facilitates effective decision making.
                                                  • -
                                                  • Analyzes structured and unstructued data to support the design and development of a business / group curated data model.
                                                  • -
                                                  • Contributes to the development of business/group data strategies and data governance policies, procedures, and processes.
                                                  • -
                                                  • Develops data solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                  • -
                                                  • Provides advice and guidance to assigned business/group on implementation of data solutions.
                                                  • -
                                                  • Identifies and implements the optimum means to collect, process, analyze and report on information and ensure ongoing accuracy, integrity and security.
                                                  • -
                                                  • Participates in the timely resolution of operating/technical problems or manages escalation with other BMO technical support groups.
                                                  • -
                                                  • Assists in the identification of change impacts through requirements gathering, mapping and documenting current and proposed processes.
                                                  • -
                                                  • Provides support to projects and/or manages operational changes including supporting Technology with the validation and testing of systems.
                                                  • -
                                                  • Provides support on data management process implementation and sustainment activities to ensure stakeholder awareness and adoption of data governance in work including but not limited to development of business tools and end use procedure documentation.
                                                  • -
                                                  • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                  • -
                                                  • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                  • -
                                                  • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                  • -
                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                  • -
                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                  • -
                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                  • -
                                                  • Broader work or accountabilities may be assigned as needed.
                                                  • -
                                                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                  • -
                                                  • Skilled in statistical analysis environments (e.g. R, MATLAB, SPSS or SAS).
                                                  • -
                                                  • Skilled in working with BI tools such as Tableau and Microstrategy, relational databases and Hadoop-based data mining frameworks.
                                                  • -
                                                  • Knowledge in working with SQL, Python, Java and C/C++.
                                                  • -
                                                  • Technical proficiency gained through education and/or business experience.
                                                  • -
                                                  • Verbal & written communication skills - In-depth.
                                                  • -
                                                  • Collaboration & team skills - In-depth.
                                                  • -
                                                  • Analytical and problem solving skills - In-depth.
                                                  • -
                                                  • Influence skills - In-depth.
                                                  • -
                                                  • Data driven decision making - In-depth.
                                                  • +
                                                  • Become part of a team that thinks progessively and works collaboratively. We care about seeing each other reach full potential;
                                                  • +
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                  • +
                                                  • Leaders who support your development through coaching and managing opportunities;
                                                  • +
                                                  • Ability to make a difference and lasting impact from a local-to-global scale
                                                  +

                                                  How to apply:

                                                  +

                                                  Please email your resume to mi.research@rbc.com and include where you heard about this opportunity.

                                                  +

                                                  About Borealis AI

                                                  +

                                                  Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                  ",mi.research@rbc.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2020-05-20T12:41:00.000Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/33467668-infrastructure-engineer-at-borealis-ai,,expired,2020-04-17T22:34:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,New Posting, +55a911e4-11cc-4a00-87bb-bad6bcf85b96,33467670,Borealis AI,Machine Learning Software Developer,on_site,"Toronto, ON, Canada",2020-04-17T22:45:37.810Z,"

                                                  What’s the opportunity?

                                                  +

                                                  Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                  We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Developer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                  +

                                                  At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                  +

                                                  Your responsibilities include:

                                                  +
                                                    +
                                                  • Building machine learning-based software solutions for solving important problems;
                                                  • +
                                                  • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                  • +
                                                  • Collaborating with research and business teams to converge on the best solutions;
                                                  • +
                                                  • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                  • +
                                                  • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                  • +
                                                  • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                  • +
                                                  • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                  • +
                                                  +

                                                  You’re our ideal candidate if you:

                                                  +
                                                    +
                                                  • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                  • +
                                                  • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                  • +
                                                  • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                  • +
                                                  • Familiarity with the Unix command line and bash scripting;
                                                  • +
                                                  • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                  • +
                                                  • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                  • +
                                                  • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                  • +
                                                  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                  • +
                                                  +

                                                  What's in it for you?

                                                  +
                                                    +
                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                  • +
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                  • +
                                                  • Leaders who support your development through coaching and managing opportunities;
                                                  • +
                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                  • +
                                                  +

                                                  About Borealis AI

                                                  +

                                                  Borealis AI, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Edmonton, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                  ",mi.research@borealisai.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-05-20T12:41:00.000Z,False,7,0,49,https://talenthub.vectorinstitute.ai/jobs/33467670-machine-learning-software-developer-at-borealis-ai,,expired,2020-04-17T22:45:00.000Z,employer-repost,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, +a39aae98-1b61-448a-a8cc-38de9efc325f,33624523,Shopify Inc.,"Data Science Intern - Fall 2020 (Toronto, Ottawa, Waterloo)",on_site,"Toronto, ON, Canada",2020-04-22T14:18:37.163Z,"

                                                  Our Data Scientists come from diverse backgrounds: computer science, business, economics, and physics to name a few! We are solving diverse problems in the business and appreciate diverse perspectives. Our product direction is data driven and we’re all working toward one common goal: make commerce better for everyone.

                                                  The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of retail data to work to make our merchants more successful. You’ll make an impact on delivering merchandising insights, optimizing shipping and processing rates, reducing credit card fraud, ad campaign recommendations, and more!

                                                  As someone who thrives in a rapidly changing environment, you will develop a deep understanding of our data, tools, and processes by measuring key metrics, promoting new analytical techniques and questioning assumptions. You love to tell the story behind the numbers, and will clean, model, and analyze a wide variety of data sources. Though we do AI/ML work at Shopify, a data science internship generally won't focus on these areas.

                                                  +

                                                  You’ll be working on things like:

                                                  +
                                                      +
                                                    • Building data products and models that power Shopify’s intelligence
                                                    • +
                                                    • Helping people make well-informed decisions
                                                    • +
                                                    • Receiving mentorship and infinite opportunities to learn and grow
                                                    • +
                                                    • Using TDD to write well-tested code
                                                    • +
                                                    • Contributing to the open source community
                                                    • +
                                                  +

                                                  You're the kind of person who:

                                                  +
                                                      +
                                                    • Loves investigating and solving mysteries
                                                    • +
                                                    • Is a constant learner
                                                    • +
                                                    • Enjoys research and figuring out how pieces of an entire project work
                                                    • +
                                                    • Takes pride in creating simple solutions to complex problems
                                                    • +
                                                    • Is a strong communicator and enjoys interacting with multiple parts of the business
                                                    • +
                                                    • Thrives in a fast, dynamic and constantly changing environment
                                                    • +
                                                    • Has a practical handling of at least one scripting language -- Python is a plus!
                                                    • +
                                                  +

                                                  Life At Shopify
                                                  Interns at Shopify are fully integrated with their teams and the things you will work on are thoughtfully considered. If your team is working through a tough problem, so are you. If they are travelling to another city, you’ll be joining. There won’t be any latte fetching, there are no “intern projects” and you’ll have access to a wide range of perks based on your individual interests.
                                                  Mentorship will be available to you and you’ll join 5000+ exceptionally bright people who are serious about personal growth and learning. We build products that support all kinds of entrepreneurs - from the one-product independent business owner to rapidly scaling brands like Kylie Cosmetics. We’re also the platform for those that haven’t taken the first step toward getting started yet, and we try to level the playing field for anyone with a great idea to start and grow their business.
                                                  High trust and flexibility have always been a part of our culture, and if you’re expecting to be told exactly what to do, Shopify may not be the place for you. We don’t claim to have all the answers, and that’s why we look for independent thinkers, collaborators, and people hungry to grow alongside their team. Find out more about our past interns experiences and learn more about how we approach mentorship at Shopify.

                                                  +

                                                  Shopify internships are 4 and 8 month paid terms, and are open to students, co-ops, recent graduates and those early on in their development careers. The 4-month Fall Internship will run September 8th - December 18th 2020, and the 8-month Fall/Winter Internship will run September 8th - April 23rd 2020.

                                                  +


                                                  The posting will close Tuesday May 12t at 9:00am EST and applications will not be accepted after this date. Applications will be reviewed and interviews will be conducted on a rolling basis starting Thursday May 21st

                                                  +


                                                  1. Include your resume.
                                                  2. We're always looking to see where passion and engagement shows itself in all aspects of your life. Please answer the 2 questions outlined in the application to tell us why you want to join Shopify and work in Data Science.

                                                  +

                                                  If you have projects or work you want to share, include your GitHub link below!
                                                  Experience comes in many forms, many skills are transferable, and passion goes a long way. If your experience is close to what we’re looking for, consider applying. We know that diversity of thought makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

                                                  +

                                                  The Hiring Process
                                                  1. Candidates that move beyond the initial application stage will be invited to a “Life Story” interview with a Recruiter on the Intern Program team. The intention of the Life Story interview is to construct your own personal timeline, including decisions you’ve made, what you’re passionate about, and the path you’ve taken to bring you to where you are today.

                                                  +

                                                  2. After the Life Story, successful candidates will be invited to a 60 minute technical interview with 2 Shopify developers. You will be informed in advance of the interview of what you need to bring. Generally, we ask that candidates bring a project with them they can present to our interviewers, specifically something that includes code they have written personally (ideally not a group project). In the event that candidates don’t have a project, then we ask that they complete a coding challenge before the technical interview. The second half of the interview is a collaborative problem solving exercise with our developers.

                                                  +

                                                  3. After the technical interview, successful candidates are placed on teams based on their interests, skills and experience. Each placement is done individually and with significant consideration.
                                                  *Timelines of decision-making will be clearly communicated to candidates by their Recruiter throughout the process and you will always hear back from us #noghosting. If you haven't received an update from us after the posting closes, check your junk mail!

                                                  +

                                                  **If you are in the University of Waterloo co-op program you must apply through Waterloo Works. If you do not apply through Waterloo Works, it is your responsibility to contact your co-op rep to have this posting added to your profile.

                                                  +

                                                  At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                  ",,https://jobs.lever.co/shopify/6ff515e3-e4e8-4d02-8e7c-a3138de4c31b?lever-origin=applied&lever-source%5B%5D=Vector%20Institute,aimasters@vectorinstitute.ai,https://www.shopify.ca/careers,,,2020-05-12T14:20:00.000Z,True,0,61,250,https://talenthub.vectorinstitute.ai/jobs/33624523-data-science-intern-fall-2020-toronto-ottawa-waterloo-at-shopify-inc,,expired,2020-04-22T14:18:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +190e8c0a-3723-45f8-b125-ac30a6ad3d85,33650412,Vector Institute,"Manager, Research Computing",on_site,"Toronto, ON, Canada",2020-04-23T18:59:08.716Z,"

                                                  POSITION SUMMARY

                                                  +

                                                  The Vector Institute is seeking a Manager, Research Computing to join our growing team in Toronto as we continue the work of making Canada a center of expertise for AI in the world.

                                                  -

                                                  We’re here to help

                                                  -

                                                  -

                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                  +

                                                  The Manager, Research Computing will build and coach a highly-skilled team who will develop and maintain tools that support transparent growth and appropriate resource sharing policies.

                                                  -

                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                  +

                                                  The incumbent will play a key role in the building and future maintenance of an artificial intelligence high-performance computing environment for world class research in machine learning. This role will primarily support scientific computing needs such as library support, compiling, and hardware and software evolution.

                                                  -

                                                  To find out more visit us at https://bmocareers.com.

                                                  +

                                                  This leadership position is expected to have a hands-on, problem-solving approach to managing and troubleshooting environments and a proven track record of integrating best-in-class software systems in budget and on time.

                                                  -

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Profling-and-Analytics_R200003031,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-10-26T15:15:00.000Z,False,0,6,61,https://talenthub.vectorinstitute.ai/jobs/40195758-data-profiling-and-analytics-at-bmo-financial-group,,expired,2020-10-05T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -00a7a773-d086-4bff-9894-d4bd3075b6d9,40529773,Layer 6,Sr. Machine Learning Product Engineer ☑️,on_site,"Toronto, ON, Canada",2020-10-13T13:46:14.552Z,"

                                                  The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                  -

                                                  We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                  -

                                                  The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                  -

                                                  What are your main responsibilities?

                                                  +

                                                  RESPONSIBILITIES

                                                    -
                                                  • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                  • -
                                                  • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                  • -
                                                  • Go-to person for data and model delivery within Layer 6
                                                  • -
                                                  • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                                                  • +
                                                  • Along with members of Vector’s senior management team, build, develop, and manage a team of information technology support personnel to execute Vector’s scientific computing objectives;
                                                  • +
                                                  • Oversee the planning, general execution and maintenance of complex computing arrangements, equipment and appropriate technical support necessary for research in deep learning, machine learning, and applied artificial intelligence research;
                                                  • +
                                                  • Develop, operate, and maintain Vector’s scientific computing needs in accordance with Vector’s policies;
                                                  • +
                                                  • Provide advice to Vector’s senior management team and serve as an expert point of contact within Vector on computing equipment and information technology;
                                                  • +
                                                  • Work with the senior management team to advise on the communication of corporate strategy and reporting requirements in respect to computing equipment and information technology, including public reporting;
                                                  • +
                                                  • Manage Vector’s computing equipment and information technology requirements within budget;
                                                  • +
                                                  • Support researchers in all their computing needs; and
                                                  • +
                                                  • Assist in general enterprise IT operations as required.
                                                  -

                                                  -

                                                  Required Technical Skills

                                                  +

                                                  SUCCESS MEASURES

                                                    -
                                                  • BSc+ in Computer Science, Math, Physics, or similar
                                                  • -
                                                  • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                  • -
                                                  • 3+ years experience of building machine learning production system
                                                  • -
                                                  • Expert level skills in system design
                                                  • -
                                                  • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                  • -
                                                  • Strong knowledge of Machine Learning and Deep Learning
                                                  • -
                                                  • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                  • -
                                                  • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                  • -
                                                  • Strong experience with Scala and Java 8
                                                  • +
                                                  • Ensures the smooth functioning of the research systems, by undertaking troubleshooting, maintenance and installation tasks.
                                                  • +
                                                  • Effectively manages and develops a team of scientific computing support personnel.
                                                  • +
                                                  • Researchers and the enterprise operations feel supported in all other computing needs.
                                                  • +
                                                  • Builds and maintains tools that facilitate the automated or direct administration of network and computing infrastructure, both locally and on the cloud.
                                                  -

                                                  -

                                                  Nice to have Skills

                                                  -
                                                  • C++, Python experience
                                                  -

                                                  -

                                                  Benefits

                                                  +

                                                  PROFILE OF THE IDEAL CANDIDATE

                                                    -
                                                  • Entrepreneurial and inclusive culture
                                                  • -
                                                  • Excellent health coverage and pension plan
                                                  • -
                                                  • Four weeks paid vacation
                                                  • -
                                                  • Catered lunches twice a week over machine learning talks
                                                  • +
                                                  • Graduate degree in computer science, engineering or another relevant field preferred
                                                  • +
                                                  • 3-5 years of managerial experience in a fast-paced, innovative environment
                                                  • +
                                                  • Experience in a systems administration or management role in a UNIX/Linux environment or complex computing environment
                                                  • +
                                                  • Demonstrated understanding of programming/scripting as it pertains to systems administration
                                                  • +
                                                  • Experience in managing and troubleshooting environments using mostly open-source software
                                                  • +
                                                  • Excellent verbal and written communication skills with the ability to lead technical discussions
                                                  • +
                                                  • Experience working within a research environment is considered an asset
                                                  • +
                                                  • Ability to work autonomously, prioritize, multi-task and problem solve in a fast-paced and dynamic environment
                                                  • +
                                                  • Effective conflict and dispute resolution skills
                                                  • +
                                                  • Ability to be proactive, addressing potential problems before they occur
                                                  • +
                                                  • Strong attention to detail
                                                  -

                                                  ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-11-14T12:38:00.000Z,False,1,0,28,https://talenthub.vectorinstitute.ai/jobs/40529773-sr-machine-learning-product-engineer-at-layer-6,,expired,2020-10-13T13:46:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -c9bf324f-e554-4ee4-a1e0-6022c2e85b70,40530872,Loblaw Companies Ltd.,Cloud Data Scientist,on_site,"Brampton, ON, Canada",2020-10-13T18:52:03.620Z,"

                                                  Location:

                                                  -

                                                  1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                  +

                                                  Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                  +

                                                  +

                                                  The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  +

                                                  Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                  ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=49&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-05-23T19:41:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/33650412-manager-research-computing-at-vector-institute,,expired,2020-04-23T18:59:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Manager,Masters Degree,New Posting, +4ff30a07-dad6-4077-9145-78d67c0fd668,34172933,Manulife,Data Engineer,on_site,"Kitchener, ON, Canada",2020-05-04T17:46:20.691Z,"

                                                  Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                  +

                                                  Job Description

                                                  +

                                                  We’re looking for someone who knows data: big data (but not necessarily “Big Data”), little data, clean data, messy data and all sorts of data in between. You’ve seen a little bit of everything and you enjoy working with it.

                                                  -

                                                  Why is this role important?

                                                  -

                                                  We are seeking a data scientist to help build robust cloud-based data science solutions as they pertain to Loblaw Media, which is the all-encompasing Media arm of the company. A great deal of exciting work is underway as it relates to understanding and modeling customer data to do things like build customer recommendation models, robust classification models, and advanced clustering and segmentation models. Because of the very large volume of data at hand, the data scientist will need to be able to use cloud solutions like Google Cloud Platform (GCP) and Databricks to build out the aforementioned solutions at scale.

                                                  +

                                                  That’s not to say this is an analytics role, though. We’re not looking primarily for someone with experience analyzing or modeling data (though that wouldn’t be a bad thing to bring to the table) as much as someone with experience moving it around, tidying it up and pulling it all together so that people can make use of it. We have data spread all over the place and in all sorts of different formats, and we want you to help us do something about that.

                                                  -

                                                  Deliver Data Scientifics Products to Loblaw Media and associate Partners.

                                                  +

                                                  Maybe you’ve worked as a Database Architect, a DBA, a Developer or an ETL Designer. In fact, bonus points to you if you’re able to check off more than one of those boxes. What’s most important, though, is that you’re willing and able to help us design, implement and populate data models that make it possible for us to get our most important data into a single location and into a consistent format. Come help us evolve in a data-driven powerhouse!

                                                  +

                                                  +

                                                  What Will I Be Doing?

                                                    -
                                                  • Develop ML models at scale for external partners leveraging data from across the enterprise.
                                                  • -
                                                  • Introduce new opportunities for machine learning and/or advanced AI applications.
                                                  • -
                                                  • Apply statistical techniques (i.e. supervised / unsupervised) to drive fact based decision making within marketing and external stakeholder groups.
                                                  • -
                                                  • Work with business stakeholders to lead audience targeting for campaigns.
                                                  • -
                                                  • Function as an interpreter or an intermediary, identifying data needs and explaining the importance of driving appropriate ML methodologies for pre-campaign activities.
                                                  • -
                                                  • Work to fulfill ad-hoc requests such as pulling data and providing it to the functional business teams.
                                                  • -
                                                  • Provide/present business rational of analysis’s and how ML techniques help achieve goals.
                                                  • +
                                                  • You will become a key part of the life cycle of our data
                                                  • +
                                                  • You will become a Manulife data expert; you will know where our data is, how it moves around and who is using it
                                                  • +
                                                  • You will help with (and eventually lead) the design, development and implementation of new data processes, models and flows
                                                  • +
                                                  • You will work with business partners and subject matter experts to understand the context of our data; not just how it’s structured, but how real people use it (or should not use it) to make informed decisions
                                                  • +
                                                  • You will soon know better than anyone what sorts of headaches the users of our data may have and will be instrumental in brainstorming solutions to help make their lives better
                                                  • +
                                                  • You will be involved in many different things: today you might be doing some quick coding to generate a bunch of sample data, tomorrow you might be building data flows in Apache NiFi, building stored procedures for an SQL Server database, participating in a Proof of Technology session or locked in a room with a small “tiger team” tasked with solving an issue that’s just flared up

                                                  -

                                                  Ensure Solid data

                                                  +

                                                  Does that sound a little vague? Good, because life is a little vague and so are the best jobs. We can’t guarantee you’ll be using a specific set of tools or techniques day to day because this isn’t that kind of job. You’ll need to be self-motivated, resilient and comfortable with uncertainty. You’ll have to learn on your feet from time to time, and occasionally even teach others as you’re learning. No one is going to ask you to be an expert in something you’ve never done before, but you’ll need to be the kind of person who gets excited about becoming an expert in something they’ve never done before. Show us what you’re capable of and learn a lot along the way!

                                                  +

                                                  +

                                                  Qualifications

                                                  +

                                                  This isn’t a junior role, so we’re looking for someone with at least 3-5 years of related work experience. You should have specific experience in some of these areas and the willingness to be trained (and to some extent train yourself) in any areas you’re lacking:

                                                    -
                                                  • Flag new data via external partner, internal partners or adhoc asks.
                                                  • -
                                                  • Filter, tag, join, parse, and normalize data from various system (production and reporting).
                                                  • -
                                                  • Cleaning and validating the data to ensure accuracy, completeness and uniformity.
                                                  • -
                                                  • Identifying data issues (via anomaly detection methods or other) and solutions to remedy gaps.
                                                  • -
                                                  • Explore/perform “what if” analysis to understand potential data and process gaps pertaining to the data.
                                                  • -
                                                  • Work with partners to extract, transform, and load data from an extremely wide field of data sources into staging datasets and ultimately into visualization tools
                                                  • -
                                                  -

                                                  -

                                                  Qualifications:

                                                  -
                                                    -
                                                  • Master’s degree or higher in a quantitative discipline (Mathematics, Statistics, Physics, Biology, Environmental Science, Astrophysics, Chemistry, Computer Science, Engineering, Economics/Econometrics) required
                                                  • -
                                                  • 3-7 years of analytics experience with specific focus in marketing and/or CRM
                                                  • -
                                                  • Programming skills in various languages: R, Spark/PySpark/SparkR (in particular, the candidate must be thoroughly familiar with MLLib), Python, SQL, R, Hive.
                                                  • -
                                                  • Strong applied understanding of Machine learning and data mining principles (i.e. Supervised learning, Clustering, dimensionality reduction, anomaly detection, etc.)
                                                  • -
                                                  • The candidate must have knowledge and experience in the area of scaling data science solutions through parallelization and cloud implementation, i.e., implementing various machine learning algorithms on cloud-based platforms such as GCP and Databricks.
                                                  • -
                                                  • Dynamic problem solver and the ability to work independently
                                                  • +
                                                  • Databases: traditional or NoSQL - designing/modeling, administering, writing complex queries/stored procedures
                                                  • +
                                                  • Coding/scripting (not necessarily as a Developer) – Java, C#, Python
                                                  • +
                                                  • ETL/ELT/Data integration – SSIS, PowerCenter, Sqoop, NiFi, Kafka, Storm
                                                  • +
                                                  • Various SLDC methods (i.e. agile, iterative, waterfall, etc.)

                                                  +

                                                  Bonus points for any experience with: DevOps or Continuous Delivery tools and processes, cloud (IaaS/PaaS), data profiling and analysis, and/or Hortonworks Data Platform / DataFlow.

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  Employment Type:

                                                  -

                                                  Full time

                                                  -

                                                  -

                                                  -

                                                  Type of Role:

                                                  -

                                                  Regular

                                                  -

                                                  -

                                                  -

                                                  -

                                                  Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                  -

                                                  ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Data-Scientist_R2000187297,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-11-13T12:46:50.815Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/40530872-cloud-data-scientist-at-loblaw-companies-ltd,,expired,2020-10-13T18:52:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, -beba4dac-2902-41df-8600-ed54095db413,40795672,TD Bank Group,Data Engineer,on_site,"Toronto, ON, Canada",2020-10-19T19:08:43.716Z,"

                                                  Company Overview

                                                  -

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  -

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  -

                                                  -

                                                  Department Overview

                                                  -

                                                  Fraud Risk Management (FRM) is an enterprise-level organization within TD Bank Group recently created in alignment with the 3 Lines of Defense model of risk management. The FRM Group is responsible for “2nd line risk oversight” of Lines of Business and Corporate Functions (LOBs) with exposure to Fraud Risk(s) as well as development and implementation of enterprise strategies, supported by Policies, Standards, Guidelines & Fraud Risk Programs, to appropriately mitigate Fraud

                                                  -

                                                  -

                                                  Job Description

                                                  -

                                                  For this role, we’re counting on your technical data skills and experience to forge our path moving forward. As an experienced Data Engineer you’ll work in close proximity with others across the bank in collaboration with our team’s mandate within the Fraud Risk Management organization. You have an interest in understanding and exploring fraud risk and developing, constructing and maintaining data processing systems can enable analytics, reporting and insights to drive better business decisioning. You’ll play a crucial role on cross functional teams of data scientists, data analysts, BI analysts, and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has and cannot wait to help build the pipelines and architecture that will be the backbone for analytics solutions and visualizations.

                                                  -

                                                  As a Data Engineer, these are the essential qualifications of this role:

                                                  -
                                                    -
                                                  • Gather, review, analyze, profile, validate, and map data to meet reporting, analytics and insights needs
                                                  • -
                                                  • Develop data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
                                                  • -
                                                  • Support data solutions, applications, platforms, and/or tools that are leveraged across FRM and by FRM DAR’s data experts (e.g., Data Scientists, Business Insights & Analytics, etc.)
                                                  • -
                                                  • Evaluates, compares and improves the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches.
                                                  • -
                                                  • Responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by partner data roles
                                                  • -
                                                  • Support data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
                                                  • -
                                                  • Support business teams in the use and understanding of the data and reporting solutions
                                                  • -
                                                  • Develop data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
                                                  • -
                                                  • Drive data-centric solution development focusing on complex data integration
                                                  • -
                                                  • Adopt both enterprise (strategic) and tactical data models in alignment with direction from the OCDO and other data & analytics functional groups
                                                  • -
                                                  • Liase with business partners and FRM leadership to solicit, analyze, and understand data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions and manage project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                  • -
                                                  • Define, build and manage data dictionary / catalog for respective data platforms, systems / servers /applications
                                                  • -
                                                  • Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
                                                  • -
                                                  • Runs quality assurance reports and resolves data integrity issues to ensure accurate reporting and data records
                                                  • -
                                                  • Develop solutions and recommendations for improving data integrity issues, analyze data issues and works with development teams for problem resolutions
                                                  • -
                                                  • Understand data initiatives and capabilities, data governance principles and how they apply to the business segment
                                                  • -
                                                  • Ensure business data is maintained in compliance with enterprise data standards, policies and guidelines
                                                  • -
                                                  -

                                                  -

                                                  +

                                                  Am I Right for the Job?

                                                  +

                                                  We're looking for a passionate, motivated individual to join our team. Experience with any or all the tools and technologies mentioned is a huge plus, but don't let one or more of those list items deter you! If you're excited by this posting, we want to hear from you!

                                                  -

                                                  Requirements

                                                  -


                                                  What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                                  As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes that will benefit the enterprise by enabling the reporting and analysis of vast amounts of past and present data.
                                                  TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                  -

                                                  Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                  +

                                                  What about Perks?

                                                  +

                                                  Manulife has lots of perks including, but not limited to:

                                                    -
                                                  • Undergraduate Degree
                                                  • -
                                                  • Masters Degree or Technical Certificate in Data Analytics, Computer Engineering or relevant field would be an asset
                                                  • -
                                                  • 5-7 years relevant experience
                                                  • -
                                                  • Advanced knowledge with industry data tools: R, Python, SQL, NoSQL, SQL Server MS & Data Tools (SSIS, SSRS, SSAS), Hadoop, Oracle DB, IBM UDB2, Neteeza, Talend ETL, Spark, Scala, Trifacta, Apache HDFS, Parquet, Impala, Hive, Oozie, Tableau, Microsoft Office Suite (Excel, Access, etc)
                                                  • -
                                                  • Ability to take high-level conceptual questions/ideas to solution & recommendation by completing a thorough review & analysis to understand and develop solutions in alignment with FRM DAR’s data roadmap (long and short-term objectives)
                                                  • -
                                                  • Self-starter who is motivated and can work independently with large amounts of data to review, profile and develop data processes
                                                  • -
                                                  • Expertise in working effectively in teams – requires a track record of working cross-organizationally and with multiple stakeholders at varying levels
                                                  • -
                                                  • Eager to learn and develop technical and soft skills, the FRM organization is growing and maturing and you should be excited to do the same
                                                  • -
                                                  • Ability to discuss highly technical data processes and operations with non-data partners and peers
                                                  • -
                                                  • -
                                                  • +
                                                  • Competitive compensation
                                                  • +
                                                  • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                  • +
                                                  • Manulife Share Ownership Program with employer matching
                                                  • +
                                                  • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                  • +
                                                  • Financial support for ongoing training, learning, and education
                                                  • +
                                                  • Monthly Innovation Days (Hackathons)
                                                  • +
                                                  • Wearing jeans to work every day
                                                  • +
                                                  • An abundance of career paths and opportunities to advance
                                                  • +
                                                  • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements

                                                  -

                                                  Additional Information

                                                  -

                                                  #LI-POST

                                                  -

                                                  -

                                                  Hours

                                                  -

                                                  37.5

                                                  -

                                                  -

                                                  Inclusiveness

                                                  -

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  ",,https://jobs.td.com/en-CA/jobs/11693370/data-engineer-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-10-26T15:01:00.000Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/40795672-data-engineer-at-td-bank-group,,expired,2020-10-19T19:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -31507a97-ce9e-4c86-aa51-f50d4f866c59,40795684,Loblaw Companies Ltd.,"CO-OP, Data Science Analyst, Finance Analytics",on_site,"Brampton, ON, Canada",2020-10-19T19:22:05.912Z,"

                                                  Location:

                                                  -

                                                  1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  -

                                                  Why is this role important?

                                                  -

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  Employment Type:

                                                  -

                                                  Full time

                                                  -

                                                  +

                                                  This is a permanent full time role based in our Toronto, Ontario office.

                                                  -

                                                  Type of Role:

                                                  -

                                                  Co-op (Fixed Term)

                                                  +


                                                  If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                  +


                                                  About Manulife

                                                  +

                                                  Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                  +



                                                  +

                                                  Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                  ",,https://jobs.manulife.com/ShowJob/JobId/914199/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-06-03T21:03:00.000Z,False,0,4,45,https://talenthub.vectorinstitute.ai/jobs/34172933-data-engineer-at-manulife,,expired,2020-05-04T17:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +1c1eb935-67db-47a4-8ca5-967a0caf3ff3,34234580,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, ON, Canada",2020-05-06T18:08:55.973Z,"

                                                  Requirements

                                                  +
                                                      +
                                                    • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                    • +
                                                    • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                    • +
                                                    • Excellent scientific writing and presentation skills.
                                                    • +
                                                    • Programming experience in at least one of Python, C or C++
                                                    • +
                                                    • Strong organizational, interpersonal, and communication skills.
                                                    • +

                                                  -

                                                  Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                  ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Data-Science-Analyst--Finance-Analytics_R2000185019,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-10-26T15:00:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/40795684-co-op-data-science-analyst-finance-analytics-at-loblaw-companies-ltd,,expired,2020-10-19T19:22:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, -a711848a-0ef0-4207-9151-18890fe0ecfd,41037412,Canvass Analytics Inc.,Marketing Growth Lead ☑️,on_site,"Toronto, ON, Canada",2020-10-26T13:31:03.383Z,"

                                                  A Leader in Automating Intelligent Industrial Operations

                                                  -

                                                  Canvass AI is disrupting the industrial sector with its cutting-edge AI platform, by transforming industrial engineers into data and digital engineers. Backed by some of the world’s largest companies like Google’s Gradient Ventures, Canvass is democratizing the use of AI in day to day operations so industrial companies can build AI/ML models at scale and deploy them in production to gain business benefits in real time.​

                                                  -

                                                  The Canvass marketing team is responsible for developing brand awareness, go to market and growth opportunities to fuel continued acceleration & utilization of Canvass’ AI platform. Our work ranges from looking at dynamic and diverse ways to build out our community across the industry, make Canvass a reference point across the many industry segments we serve, expand across key global & strategic partnerships, enable our product & sales team with robust and relevant enablement, launch and manage campaigns to fuel continued growth, track metrics and reduce the sales cycle through innovation across our marketing programs and technology platform.

                                                  -

                                                  Job Description

                                                  -

                                                  As a Marketing Growth Lead, you will use your knowledge and experience to drive go to market and campaigns, launch relevant content to fuel awareness, get deep on analytics, U/X and A/B testing to maximize conversion rates and be up for filling in the gaps as we build out a world class marketing team to support the growth of Canvass.

                                                  -

                                                  Key Responsibilities

                                                  -
                                                    -
                                                  • Develop and launch campaigns to support our GTM (go to market) initiatives
                                                  • -
                                                  • Work with our Partner Team to support dedicated partner programs that land and expand across these key relationships
                                                  • -
                                                  • Manage the day to day requirements across key digital assets to drive increase in traffic, interactions and engagement
                                                  • -
                                                  • Savvy on content and execution of copy
                                                  • -
                                                  • Optimize conversion funnels on landing page experiences through quantitative and qualitative testing from acquisition to customer marketing - the full customer journey
                                                  • -
                                                  • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                  • -
                                                  • Proficiency in Hubspot, Wordpress, Google sheets and supporting the build out of the marketing tech stack to fuel growth
                                                  • -
                                                  • Proficiency with probability and statistics
                                                  • -
                                                  • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                  • -
                                                  • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                  • -
                                                  • Ability to turn complex data and insights into easily understood
                                                  • -
                                                  • Strong organizational, time management, and analytical skills
                                                  • -
                                                  -

                                                  Qualifications

                                                  -
                                                    -
                                                  • You are analytical and metrics driven with strong copywriting skills along with a hunger to test and experiment with new and innovative ideas
                                                  • -
                                                  • You live and breathe anything, and everything related to opportunity creation & growth because you consider yourself a strategist who can optimize lead-to-customer conversion rates and increase funnel marketing efficiencies
                                                  • -
                                                  • You have experience with improving and optimizing online user experience, with a focus on B2B conversions
                                                  • -
                                                  • You will combine processes with flexibility, data with wise iteration and curiosity with perseverance
                                                  • -
                                                  -

                                                  Required Skills

                                                  -
                                                    -
                                                  • 5-7 years of B2B demand generation experience
                                                  • -
                                                  • Ability to work in a fast-paced, dynamic work environment
                                                  • -
                                                  • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                  • -
                                                  • Familiar with HubSpot, WordPress and Salesforce
                                                  • -
                                                  • Proficiency in Google Sheets and data analysis
                                                  • -
                                                  • Proficiency with probability and statistics
                                                  • -
                                                  • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                  • -
                                                  • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                  • -
                                                  • Strong organizational and time management skills
                                                  • -
                                                  • Ability to turn complex data and insights into easily understood. Team Player and can work independently to achieve required goals
                                                  • -
                                                  • Roll up your sleeve get stuff done attitude with high growth start-up experience
                                                  • -
                                                  -

                                                  Your Benefits

                                                  Some of the benefits you can expect as part of our team include:

                                                  +

                                                  What we offer

                                                  +
                                                      +
                                                    • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                    • +
                                                    • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                    • +
                                                    • Competitive compensation package
                                                    • +
                                                  +

                                                  Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                  Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                  ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2020-06-05T18:08:00.000Z,False,0,33,170,https://talenthub.vectorinstitute.ai/jobs/34234580-graduate-research-intern-machine-learning-at-deep-genomics,,expired,2020-05-06T18:08:00.000Z,admin,Scaling (20-499),,Health,Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, +3778112a-dd8a-4d3c-9c69-c8da5013581d,34425618,Intact Financial Corporation,BI Business Analyst (Temporary 7 months),on_site,"Ottawa, Ontario",2020-05-11T15:03:30.028Z,"

                                                  To be innovative, you need courage. And being courageous is in our DNA. Sixty years ago, we started our business by insuring taxi drivers when no one else would. In 1997, we became the first car insurance company in North America to offer an online car insurance quote directly to consumers. We know that insurance is too important to be complicated. So, we work hard to make it simple for people to protect the things they care about. That’s us. Insurance. Simplified.

                                                  +

                                                  Your Job

                                                  +

                                                  We value diversity and are committed to creating an inclusive workplace that inspires each of us to be the best we can be. Join our team and make a difference!

                                                  +

                                                  We have an exciting opportunity for you!

                                                  +

                                                  We are looking for a candidate for a 7-month secondment with the Business Intelligence (BI) team as an Analyst.

                                                  +

                                                  This position is open to the Anjou and Ottawa centers.

                                                    -
                                                  • Awesome team and culture (every day)
                                                  • -
                                                  • Generous time off, including vacation and personal days personal days to help rejuvenate
                                                  • -
                                                  • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                  • -
                                                  • Flexible office policy, with options to work remotely
                                                  • -
                                                  • Attend Conferences to extend your knowledge and skills
                                                  • -
                                                  • Company-provided MacBooks and standing desks
                                                  • -
                                                  • Top technology and tools to excel at your role
                                                  • -
                                                  • Free team lunches
                                                  • +
                                                  • Provide daily support to the Sales & Workforce management teams data & analysis inquiries
                                                  • +
                                                  • Maintain and update monthly executive scorecards for DD departments & produce daily reports for the operational teams
                                                  • +
                                                  • Assist in the creation/maintenance of BI system & process documentation & automation
                                                  • +
                                                  • Develop new ad-hoc reporting & insights (using BI databases and Power Query) to assist sales and operations
                                                  • +
                                                  • Aid in moving existing reports (Both BI and other operational reports) towards full automation by working with the BI development team
                                                  • +
                                                  • Provide business expertise to the BI Development team
                                                  -

                                                  Why Join Canvass?

                                                  -

                                                  Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                  -

                                                  What's it like working at Canvass?

                                                  -

                                                  This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                  ",careers@canvass.io,,annie.saiyid@canvass.io,,,,2020-11-25T13:56:20.637Z,False,0,0,32,https://talenthub.vectorinstitute.ai/jobs/41037412-marketing-growth-lead-at-canvass-analytics-inc,,expired,2020-10-26T13:31:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -b87a6c9b-5afc-4b55-8648-ac7a9a93cd78,41097667,Thomson Reuters,Research Scientist☑️,temporary,"Toronto, ON, Canada",2020-10-28T12:48:14.326Z,"

                                                  Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Centre for AI and Cognitive Computing (C3) in Toronto seeks an experienced Research Scientist with a passion for solving problems with code – using cutting-edge Machine Learning, Information Retrieval and Natural Language Processing (NLP) techniques.

                                                  -

                                                  -

                                                  What does Thomson Reuters C3 do? We support the organization and our customers through applied research and development to solve their most challenging problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components.

                                                  -

                                                  -

                                                  As a Research Scientist, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, the Centre for AI and Cognitive Computing has consistently delivered high growth product features that delight Thomson Reuters customers and advance state of the art.

                                                  -

                                                  -

                                                  About the Role

                                                  -

                                                  In this opportunity as a Research Scientist, you will:

                                                  +

                                                  Your Skills

                                                    -
                                                  • -Develop and Deliver: Applying modern machine learning practices, you will be involved in the entire ML engineering lifecycle, training, testing and delivering high-quality solutions.
                                                  • -
                                                  • -Solve Complex Problems: You will create large scale ML processing pipelines for training novel machine learning algorithms. You will develop high performing scalable systems addressing real-world business problems.
                                                  • -
                                                  • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                  • -
                                                  • -Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                  • -
                                                  • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                  • -
                                                  • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                  • +
                                                  • Advanced Excel knowledge & skills including but not limited to: Advanced Formulas, Data Modeling and Pivot Tables
                                                  • +
                                                  • Windows proficiency and advanced knowledge of Microsoft office suite: Word, PowerPoint, etc.
                                                  • +
                                                  • Capacity to work with graphs and charts
                                                  • +
                                                  • Data and business analysis abilities
                                                  • +
                                                  • Excellent written and verbal communication skills
                                                  • +
                                                  • Innovative and creative thinking
                                                  • +
                                                  • Ability to balance work tasks with agility
                                                  • +
                                                  • Strong organizational skills and attention to detail
                                                  • +
                                                  • Oracle and SQL knowledge is an asset
                                                  • +
                                                  • Knowledge of Power BI is an asset
                                                  • +
                                                  • Bilingual is not a requirement but is a strong asset.
                                                  -

                                                  -

                                                  About You

                                                  -

                                                  You're a fit for the role of a Research Scientist if you:

                                                  +

                                                  Closing Statement

                                                  +

                                                  We are an Equal Opportunity Employer

                                                  +

                                                  At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                                  +

                                                  Background Checks

                                                  +

                                                  As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that you’ll be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                  +

                                                  Eligibility

                                                  +

                                                  It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                  ",,https://careers.intact.ca/ca/en/job/IFCOUS11604/BI-Business-Analyst-Temporary-7-months,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-05-25T15:49:00.000Z,False,0,7,27,https://talenthub.vectorinstitute.ai/jobs/34425618-bi-business-analyst-temporary-7-months-at-intact-financial-corporation,,expired,2020-05-11T15:03:00.000Z,admin,Enterprise (500+),,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +709387df-f7a6-4684-aa70-bcd917a475a4,91761695,Sun Life Financial,"Senior Data Scientist, Security Analytics",on_site,"Ontario, Canada",2021-11-01T06:32:03.602Z,"
                                                  +
                                                  +
                                                  +

                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                  +

                                                  +

                                                  +

                                                  Job Description:

                                                  +

                                                  +

                                                  Role Summary

                                                  +

                                                  +

                                                  Do you have a passion for data? Do you enjoy influencing business decisions that impact our employees, clients and financial outcome? If you are analytical, curious, love solving complex business problems, we need you to join our high performing team to deliver exceptional value through analytics and insights that will drive the right actions for the business

                                                  +

                                                  +

                                                  The Global Security Analytics team is looking for a Senior Data Scientist that will help us improve monitoring and control of advanced cyber threats by extracting insights hidden in vast amounts of network and security log data.

                                                  +

                                                  +

                                                  Your primary focus will be building machine learning models, applying data mining techniques, performing statistical analysis and developing actionable reports with data visualizations. Your success in this role will be achieved by identifying previously undiscovered intrusions or by improving the organization’s security posture or the measurement thereof. The goal is to create new strategic and tactical value from security-relevant data through the dedicated exploration, analysis and investigation of that data using cutting-edge analytic technologies and techniques.

                                                  +

                                                  +

                                                  What will you need?

                                                    -
                                                  • Have a good understanding of machine learning, in particular, deep learning (e.g., TensorFlow)
                                                  • -
                                                  • Are familiar with methods in NLP techniques or other application areas such as Information Retrieval, Computer Vision etc.
                                                  • -
                                                  • Are proficient with statistical data analysis and experimental design
                                                  • -
                                                  • Have experience with distributed computing platforms, such as Hadoop or Spark
                                                  • -
                                                  • Have publications at relevant conferences (ACL, SIGIR, ICML, NeurIPS, etc.)
                                                  • -
                                                  • Are curious, comfortable with rapid change and always learning new things
                                                  • -
                                                  • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working independently at a fast pace, embraces change, and can creatively pivot when needed.
                                                  • -
                                                  • Have a Ph.D. in Computer Science or related field preferred, or Master's degree with relevant industry experience
                                                  • +
                                                  • Perform large-scale data analysis and applying effective statistical methods and machine learning models for improving Cybersecurity detection at Sun Life.

                                                  • +
                                                  • Design and develop AI/Machine Learning models for business operations

                                                  • +
                                                  • Design, develop, test, and deploy workloads on AWS SageMaker, applying models and algorithms to mine the stores of big data.

                                                  • +
                                                  • Process, cleanse, and verify the integrity of data used for analysis.

                                                  • +
                                                  • Developing complex SQL queries across multiple data sources to support analysis and optimizing workloads to reduce query runtimes.

                                                  • +
                                                  • Accurately prepare and promptly complete all required supporting documentation for assigned projects/tasks (i.e., reports, models, change requests, presentations, tables, files, etc).

                                                  • +
                                                  • Present information using data visualization techniques for internal business partners.

                                                  -

                                                  -

                                                  What's in it For You

                                                  -

                                                  At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                  +

                                                  +

                                                  What you need to succeed?

                                                    +
                                                  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

                                                  • +
                                                  • 5+ years experience in using Python/R and SQL (Hadoop, Microsoft SQL Server, SAS, Oracle, etc.) to analyze data and gather valuable insights.

                                                  • +
                                                  • 2 + years experience developing and building ML models including Predictive Modelling, Data Science application development.

                                                  • +
                                                  • Minimum of 1 year experience with Amazon Web Services including Athena, Redshift, Lambda and SageMaker.

                                                  • +
                                                  • Thorough knowledge and demonstrated experience in data management best practices (importing, cleaning, transforming, validating, quality and modeling data)

                                                  • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                    +

                                                    Conceptual understanding of the following topics:

                                                      -
                                                    • Our scientists and engineers explore big data sets to discover new capabilities and insights. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                    • -
                                                    • Stay up-to-date by attending conferences, publishing papers and creating IP by filing patent applications.
                                                    • +
                                                    • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components.

                                                    • +
                                                    • Database theory, ETL/data pipeline design and data modelling.

                                                  • -
                                                  • -Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                  • -
                                                  • -Perks: Social events & activities, employee discount programs through corporate perks
                                                  -

                                                  -

                                                  Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                  -

                                                  -

                                                  -

                                                  Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                  -

                                                  -

                                                  We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                  -

                                                  -

                                                  Accessibility

                                                  -

                                                  -

                                                  As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                  -

                                                  -

                                                  We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                  -

                                                  -

                                                  More information about Thomson Reuters can be found on thomsonreuters.com.

                                                  ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-11-27T12:48:00.000Z,True,28,0,235,https://talenthub.vectorinstitute.ai/jobs/41097667-research-scientist-at-thomson-reuters,,expired,2020-10-28T12:48:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Associate,PhD,Re-Posting an Expired Job, -a5a2622e-eabd-4bca-b4c5-d8bb45e03876,41097671,Thomson Reuters,Senior Software Engineer☑️,temporary,"Toronto, ON, Canada",2020-10-28T12:50:44.289Z,"

                                                  Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Center for AI and Cognitive Computing (C3) in Toronto is seeking an experienced Senior Software Engineer with a passion for solving problems with code - using technologies like Java, Python, Cloud Computing, Machine Learning and Natural Language Processing (NLP).

                                                  -

                                                  -

                                                  What does Thomson Reuters C3 do? We support the organization and our customers through applied research and development to solve their most challenging problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components.

                                                  -

                                                  -

                                                  As an experienced Senior Software Engineer, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, the Center for AI and Cognitive Computing has consistently delivered high growth product features that delight Thomson Reuters customers and advance the state of the art.

                                                  -

                                                  -

                                                  About the Role

                                                  -

                                                  In this opportunity as a Senior Software Engineer, you will:

                                                  +
                                                  • Solid communication skills – have the ability to explain complexity of data and analytical models to a non-data audience and explain the complexity of analytics to the business, IT and governance audience

                                                  +
                                                  • Adaptable - maintains effectiveness while managing competing demands, able to deal with frequent change, delays or unexpected events

                                                  +

                                                  +

                                                  Unique Requirements

                                                  +

                                                  +

                                                  The candidate selected for this role is required to have special clearance from the RoyalCanadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​. Canadian Reliability Security Clearance is administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                  +

                                                  +

                                                  What will be nice to have?

                                                  +
                                                  • Experience with Data Visualization and Reporting tools (Tableau Desktop, Power BI, AWS Quicksight) is nice to have

                                                  +

                                                  +

                                                  What’s in it for you?

                                                    -
                                                  • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                  • -
                                                  • -Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                  • -
                                                  • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                  • -
                                                  • -Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                  • -
                                                  • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                  • -
                                                  • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                  • +
                                                  • Competitive salary and bonus structure influenced by market range data

                                                  • +
                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                  • +
                                                  • An environment of continuous learning and improvement

                                                  • +
                                                  • Flexible hours and periodic work from home options

                                                  • +
                                                  • The opportunity to move along a variety of career paths with amazing networking potential

                                                  -

                                                  -

                                                  About You

                                                  -

                                                  You're a fit for the role of Senior Software Engineer if you:

                                                  +

                                                  +

                                                  +

                                                  +

                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                  +

                                                  +

                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                  +

                                                  +

                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                  +

                                                  +

                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                  +

                                                  +

                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                  +

                                                  +

                                                  Salary Range:

                                                  74,900/74 900 - 125,900/125 900

                                                  +

                                                  Job Category:

                                                  IT - Technology Services

                                                  +

                                                  Posting End Date:

                                                  14/11/2021
                                                  +
                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Manager--Security-Analytics_JR00042864?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2021-11-04T06:37:05.400Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/91761695-senior-data-scientist-security-analytics-at-sun-life-financial,,expired,2021-11-01T06:32:00.000Z,import-xml-feed:Sunlife-Job-Feed,,Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +60b2c04a-2792-4c84-8bb0-7b449095c5f2,80462758,Shopify Inc.,Senior Data Engineer (Americas - Remote),on_site,"Ontario, Canada",2021-08-31T07:06:06.791Z,"

                                                  About the role

                                                  +

                                                  Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:

                                                    -
                                                  • Can “think in code” and have a deep understanding of the Java and/or Python software development stacks and ecosystems
                                                  • -
                                                  • Are familiar with cloud-native applications in AWS or Azure (or a similar cloud platform)
                                                  • -
                                                  • Are proficient in system analysis and design
                                                  • -
                                                  • Have experience working in an agile environment
                                                  • -
                                                  • Are curious, comfortable with rapid change and always learning new things
                                                  • -
                                                  • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working independently at a fast pace, embraces change, and can creatively pivot when needed
                                                  • -
                                                  • Have a desire to work with Machine Learning and NLP
                                                  • -
                                                  • BS degree or foreign equivalent in Computer Science or related field with 4+ years of professional software development experience
                                                  • +
                                                  • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security + quality of our datasets.
                                                  • +
                                                  • The Analytics group builds products that leverage the Engine primitives to deliver simple and useful products that power scalable transformation of data at Shopify in batch, or streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?
                                                  • +
                                                  • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.
                                                  • +
                                                  • The Reliability group operates the data platform efficiently in a consistent and reliable manner. They build tools for other teams at Data Platform to leverage to encourage consistency and they champion reliability across the platform.

                                                  -

                                                  What's in it For You

                                                  -

                                                  At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                  +

                                                  Qualifications

                                                  While our teams value specialized skills, they\'ve also got a lot in common. We\'re looking for a(n):

                                                    -
                                                  • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology
                                                    • Our scientists and engineers explore big data sets to discover new capabilities and insights. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                    -
                                                  • -
                                                  • -Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                  • -
                                                  • -Perks: Social events & activities, employee discount programs through corporate perks
                                                  • +
                                                  • High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact.
                                                  • +
                                                  • Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders.
                                                  • +
                                                  • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
                                                  • +
                                                  • Solid software engineer: experienced in building and maintaining systems at scale.
                                                  • +
                                                  +

                                                  A Senior Data Developer at Shopify typically has 4-6 years of experience in one or more of the following areas:

                                                  +
                                                    +
                                                  • Working with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
                                                  • +
                                                  • Query optimization, resource allocation and management, and data lake performance (Presto, SQL)
                                                  • +
                                                  • Cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                                  • +
                                                  • Security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
                                                  • +
                                                  • Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
                                                  • +
                                                  • Building full-stack applications (Ruby/Rails, React, TypeScript)
                                                  • +
                                                  • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
                                                  • +
                                                  • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)




                                                    #Senior Software Developer- Distributed Systems #Senior Software Developer- Data Engineering #Senior Data App Developer #Senior Data Reliability Engineer #Senior Software Developer- Reliability
                                                  -

                                                  -

                                                  Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                  -

                                                  -

                                                  -

                                                  Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                  -

                                                  -

                                                  We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                  -

                                                  -

                                                  Accessibility

                                                  -

                                                  -

                                                  As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                  -

                                                  -

                                                  We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                  -

                                                  -

                                                  More information about Thomson Reuters can be found on thomsonreuters.com.

                                                  ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-11-27T12:50:00.000Z,True,5,0,64,https://talenthub.vectorinstitute.ai/jobs/41097671-senior-software-engineer-at-thomson-reuters,,expired,2020-10-28T12:50:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -bce5b59d-b3b9-444c-9431-624dbca3b9b4,41156330,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2020-10-30T05:20:36.516Z,"
                                                  -

                                                  Company Overview

                                                  -
                                                  -

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  -

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  -

                                                  -

                                                  Department Overview

                                                  -
                                                  The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.
                                                  -

                                                  -

                                                  Job Description

                                                  -
                                                  The Business Insights Specialist will be accountable for delivering timely, meaningful business performance reporting and analytics that drive measurable business value across our business lines. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                                  -

                                                  Primary Responsibilities

                                                  -

                                                  Working closely with business stakeholders to provide thought-leadership and facilitate data-driven fact-based decisions
                                                  Support the design and execution of suitable analytical solutions in a timely fashion to support business decisions
                                                  Enhance reporting and business insights generating capability by developing a “best-in-class” reporting function that delivers timely, meaningful business performance reporting & insights that drive measurable business value. Help make reporting/business insights a competitive advantage
                                                  Responsible for identification and development of advanced analytics use cases that drive business value
                                                  Provide proactive “value-added” insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                                  Preparation and distribution of sales, performance (dashboards and scorecards) and business management reporting, as required
                                                  Liaise with business stakeholders to ensure timely and accurate deliverable
                                                  Continuously review existing reporting requirements and processes, proactively providing thought leadership and hands-on development and execution for future reporting needs and metrics

                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                  Qualifications/Skills/Experience:

                                                  -

                                                  Over 5 years of relevant experience in analytics, reporting, analysis and insights, or business strategy functions in the Financial Services industry
                                                  Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                                  Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                                  Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                                  Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                                  Disciplined with a proven track record of delivering results and executing with excellence
                                                  Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                                  Education

                                                  -

                                                  Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                                  Technical Knowledge/Skills

                                                  -

                                                  5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                                  Experience with creating complex Tableau dashboards considered an asset

                                                  +

                                                  At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                  +

                                                  +

                                                  Shopify is now permanently remote and working towards a future that is digital by design. Learn more

                                                  How we hire

                                                  At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                  Learn more about our hiring process +
                                                  +
                                                  +
                                                  +
                                                  ",,https://www.shopify.ca/careers/senior-data-engineer-americas-remote-6932cbed,feed-importer@jobboard.io,,,,2021-09-06T07:11:04.488Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/80462758-senior-data-engineer-americas-remote-at-shopify-inc,,expired,2021-08-31T07:06:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,No Degree,New Posting, +d062de1c-17f1-4b46-8b3b-a85bdede1d79,96760407,Vector Institute,"Program Coordinator, Academic Partnerships (Contract) ",on_site,"Ontario, Canada",2021-12-02T05:56:46.817Z,"
                                                  +

                                                  POSITION OVERVIEW

                                                  +

                                                  +

                                                  The Vector Institute is seeking a Program Coordinator, Academic Partnerships to join our growing team in Toronto. Reporting to the Director, Academic Partnerships, the Program Coordinator, Academic Partnerships is a key contributor to the team’s targeted initiatives to develop future generations of top AI talent. In this dynamic role, you will develop and streamline processes and perform administrative and business functions to support the Academic Partnerships team members and programs.

                                                  +

                                                  +

                                                  EMPLOYMENT TYPE

                                                  -

                                                  Hours

                                                  -
                                                  37.5
                                                  -

                                                  -

                                                  Inclusiveness

                                                  -

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  -

                                                  -
                                                  ",,https://jobs.td.com/en-CA/jobs/11675626/business-insights-specialist-toronto-ca/,adam.renkosinski@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-11-09T18:31:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/41156330-business-insights-specialist-at-td-bank-group,,expired,2020-10-30T05:20:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -c0aed9a8-5159-4551-bac9-9de930d04f69,41350260,Manulife,Data Design Analyst,on_site,"Toronto, ON, Canada",2020-11-02T20:52:18.736Z,"

                                                  Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                  -

                                                  -

                                                  Job Description

                                                  -

                                                  Job Overview

                                                  -

                                                  The GWAM Chief Data Office in close partnership with key business stakeholders, GWAM Operations and will support the transformation of the organization to ensure data is leveraged as a strategic asset supporting our business goals. The group’s charter is as follows:
                                                  • Manage the Investment Division Data Lake (IDDL) as the single, central source for data which is easy to access and describes how the data was obtained
                                                  • Monitor IDDL Data quality continually monitored and accuracy improved
                                                  • Ensure Common standards for IDDL Data
                                                  • Enable flexible reporting tools to access data in the IDDL, adapting to changing business or regulatory requirements

                                                  -

                                                  Reporting to the AVP, Data Design and Investment Division Data Lake (IDDL) Business Support, the Data Analyst, Data Design will be a key member of a team of data professionals responsible for establishing the data quality program for Manulife GWAM. They will couple their data analysis experience with a solid understanding of the Investment Division’s business and operations to implement the data strategy.

                                                  -

                                                  -

                                                  Key Responsibilities:

                                                  +

                                                  Contract (12 months)

                                                  +

                                                  +

                                                  KEY RESPONSIBILITIES

                                                  +

                                                    -
                                                  • You will work with Global Wealth Asset Management Operational Business &Technical Support teams, GWAM Reporting Teams and the GWAM Chief Data Office to support the Investment Division Data Lake [IDDL] Daily Production activities to ensure data is available, reliable, consistent, accessible, secure, and timely through daily Data Issue Identification, Analysis and Action Planning
                                                  • -
                                                  • You will partner with the GWAM Chief Data Office Data Governance and Data Analytics, support on-going IDDL process improvements, including enhancements to GWAM Operational Capabilities, GWAM Data Quality Monitoring and Controls and GWAM Meta Data Management Tools such as the Business Glossary and Data Lineage
                                                  • -
                                                  • Working with GWAM Operational teams, support IDDL Design and Development for GWAM Strategic Initiatives
                                                  • +
                                                  • Provide administrative support for the Academic Partnerships Team, including performing various coordination tasks e.g., maintaining various contact lists, supporting committee work, and handling inquiries.
                                                  • +
                                                  • Help coordinate the Vector Scholarship in Artificial Intelligence adjudication process and fund disbursements to universities by maintaining meticulous records and systems.
                                                  • +
                                                  • Coordinate and maintain various communications and mailing lists for all academic stakeholders including AI master’s students and alumni, academic programs, and undergraduate students.
                                                  • +
                                                  • Assist in the coordination of internal and external-facing events targeting AI master’s students and alumni, including data cleaning, stakeholder tracking and follow up, etc.
                                                  • +
                                                  • Support the outreach to student groups to promote Vector’s mandate and initiatives and build a strong talent pipeline in AI.
                                                  • +
                                                  • Ensure the seamless collection of student data, maintaining its accuracy to track employment outcomes post-graduation and measure impact of Vector’s initiatives on workforce development.
                                                  • +
                                                  • Perform tasks to support data collection and presentation, including building forms and surveys, maintaining databases, visualizing data (i.e., charts and graphs) for various audiences and reporting requirements, supporting documentation and records retention.
                                                  • +
                                                  • Maintain up-to-date documentation on processes and workflows.
                                                  • +
                                                  • +Undertake other duties as assigned.
                                                    +
                                                  -

                                                  -

                                                  Education, Experience & Skills:

                                                  +

                                                  +

                                                  PROFILE OF IDEAL CANDIDATE

                                                    -
                                                  • Highly analytical with strong consulting and problem-solving abilities; tenacity to identify the root cause of problems and utilize innovative approaches to solve business data problems
                                                  • -
                                                  • Strong service orientation
                                                  • -
                                                  • Take personal accountability for issue analysis and resolution
                                                  • -
                                                  • Asset management or financial services industry experience
                                                  • -
                                                  • Previous experience in the management of large, firm-wide processes
                                                  • -
                                                  • Strong communication skills
                                                  • -
                                                  • Constructive challenge and influencing skills
                                                  • -
                                                  • Experience in translating between business and technology worlds
                                                  • -
                                                  • Champion of change and effectively managing the implementation of new ideas / improvements
                                                  • -
                                                  • Confident when dealing with investment professionals, senior management and other stakeholders
                                                  • -
                                                  • Knowledge and experience with asset management systems and platforms such as trading/order management, portfolio accounting, client reporting, performance analytics and master data management
                                                  • -
                                                  • Technical Skills, such as knowledge, of SQL required to perform data analysis
                                                  • -
                                                  -

                                                  -

                                                  What about Perks?

                                                  -

                                                  Manulife has lots of perks including, but not limited to:

                                                  -
                                                    -
                                                  • Competitive compensation
                                                  • -
                                                  • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                  • -
                                                  • Manulife Share Ownership Program with employer matching
                                                  • -
                                                  • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                  • -
                                                  • Financial support for ongoing training, learning, and education
                                                  • -
                                                  • Monthly Innovation Days (Hackathons)
                                                  • -
                                                  • Wearing jeans to work every day
                                                  • -
                                                  • An abundance of career paths and opportunities to advance
                                                  • -
                                                  • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.
                                                  • -
                                                  -

                                                  -

                                                  This is a full-time permanent role located in Toronto, Ontario. Successful candidates may be considered for our Boston, MA location as well.

                                                  -

                                                  -

                                                  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                  -

                                                  -

                                                  -


                                                  If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                  -


                                                  About Manulife

                                                  -

                                                  Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2019, we had more than 35,000 employees, over 98,000 agents, and thousands of distribution partners, serving almost 30 million customers. As of March 31, 2020, we had $1.2 trillion (US$0.8 trillion) in assets under management and administration, and in the previous 12 months we made $30.4 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                  -



                                                  -

                                                  Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                  ",,https://jobs.manulife.com/ShowJob/JobId/1010127/DataDesignAnalyst,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-12-04T14:14:24.552Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/41350260-data-design-analyst-at-manulife,,expired,2020-11-02T20:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -0063d131-cbe1-451f-ad75-8d3e8728059a,41416563,RBC,"Internal Audit, Winter 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:33.826Z,"
                                                  -
                                                  -
                                                  -

                                                  RBC fosters a positive learning environment for students by providing support and resources to help your development. As the leading financial institution in the country and one of Canada’s Top Employers for Young People, RBC is a great place to start your career.

                                                  -

                                                  -

                                                  What is the opportunity?

                                                  -

                                                  Internal Audit works to review what’s going on behind the scenes of all lines of business across RBC. It is the ideal work environment if you’re interested in seeing how things work, are curious about digging deep into data to discover new things and like to use your imagination to make recommendations or drive insights. By joining us for a 4-month long position, you will be involved in a variety of challenging assignments, allowing you become familiar with a wide range of areas across RBC, while also strengthening the skills and knowledge you need to launch a successful career. Our students benefit from interesting work and networking opportunities, and are encouraged to collaborate on innovations.

                                                  -

                                                  -

                                                  We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 8th, 2020. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                  -

                                                  -

                                                  What do you need to succeed?

                                                  -

                                                  Along with pursuing a post-secondary education and being available for a work term, there are some other qualities that we look for in members of Internal Audit.

                                                  -

                                                  -

                                                  Be Curious. You don’t have to have an audit or accounting background in order to be successful here. What we look for is someone who has an interest in understanding and learning about auditing principles and techniques. Someone who is able to think critically and isn’t afraid to recommend an approach or challenge others’ opinions in a constructive manner. Someone who has a passion for learning and personal development, and wants to spend their term collaborating with a diverse group of talented individuals.

                                                  -

                                                  Be Tech-Savvy. Internal Audit is a leader in finding innovative ways to use technology to be more efficient and impactful. Proficiency in Microsoft Office tools, including Word, Excel, PowerPoint and Excel, is required. Experience with data analytics tools such as Python and visualization tools like Tableau are also an asset.

                                                  -

                                                  Be Adaptable. We are a busy part of RBC where there is always a lot on the go. We are looking for someone who thrives in a dynamically changing environment with strong project management skills, allowing you to multi-task, prioritize and work independently under tight timelines.

                                                  -

                                                  Be Collaborative. Internal Audit is a supportive and welcoming environment, and we are looking for team players who proactively seek out development opportunities. Someone with excellent interpersonal skills and a positive attitude. Someone who demonstrates strong verbal and written communication skills, allowing you to work effectively with people across the organization.

                                                  -

                                                  -

                                                  Does this sound like you? If so, then a coop position with RBC’s Internal Audit team is the job for you. See below for information for our student opportunities available within Internal Audit.

                                                  -
                                                  -

                                                  -
                                                  -

                                                  Capital Markets & Risk Management

                                                  -

                                                  Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                  -
                                                    -
                                                  • Participating in audits, control design review, continuous audit review and consulting engagements
                                                  • -
                                                  • Participating in planning sessions to develop audit techniques using data analytics
                                                  • -
                                                  • Using Tableau to develop data analytics and visualization reports
                                                  • -
                                                  -
                                                  • Preparing management reports
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                    -
                                                  • Post-secondary education major in Business, Data Science, Engineering, Mathematics, Finance and Accounting, Statistics or Computer Science
                                                  • -
                                                  • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
                                                  • -
                                                  • Prior exposure to valuations and/or risk analysis of financial trading products would be an asset
                                                  • -
                                                  -

                                                  -

                                                  Information Technology

                                                  -

                                                  Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                  -
                                                    -
                                                  • Participating in audits, control design review, continuous audit review and consulting engagements
                                                  • -
                                                  • Participating in planning sessions to develop audit techniques using data analytics
                                                  • -
                                                  • Using Tableau to develop data analytics and visualization reports
                                                  • -
                                                  -
                                                  • Preparing management reports
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                    -
                                                  • Post-secondary education major in Data Science, Accounting or Technology
                                                  • -
                                                  • Understanding of data analytics and Tableau
                                                  • -
                                                  • Experience with:
                                                  • -
                                                  -
                                                    -
                                                  • Computer centre process, such as: problem management, service level management, environmental controls, physical security, job scheduling, job entry systems, media management, backup & recovery, and capacity & performance management
                                                  • -
                                                  • Information security governance practices, such as: access administration, incident & vulnerability management and security standards & technology change management
                                                  • -
                                                  • Technology platforms, such as: zOS, UNIX, Tandem, iSeries and Windows (2003 and XP)
                                                  • -
                                                  • Database management systems, such as: Sybase, Oracle, SQL, DB2/UDB and IMS
                                                  • -
                                                  -

                                                  -

                                                  Personal & Commerical Banking

                                                  -

                                                  Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                  -
                                                    -
                                                  • Participating in audits, control design review, continuous audit review and consulting engagements
                                                  • -
                                                  • Participating in planning sessions to develop audit techniques using data analytics
                                                  • -
                                                  • Using Tableau to develop data analytics and visualization reports
                                                  • -
                                                  -
                                                  • Preparing management reports
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                  • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
                                                  -

                                                  -

                                                  Data Management & Analytics

                                                  -

                                                  Contribute to audit teams across IA by designing and implementing data-related aspects of audit strategies, and producing and sharing insights supporting all phases of the internal audit cycle – planning, execution and reporting. Key tasks may include:

                                                  -
                                                    -
                                                  • Collaborating with the businesses to capture requirements
                                                  • -
                                                  • Collecting and maintaining the data required to perform the analytics
                                                  • -
                                                  • Collecting, processing and analyzing data using a variety of tools
                                                  • -
                                                  • Participating in the identification of key risks, hypotheses and questions to answer
                                                  • -
                                                  -
                                                  • Providing technology support to audit team
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                    -
                                                  • Post-secondary education major in Data Science, Engineering, Mathematics, Finance or Computer Science
                                                  • -
                                                  • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, Hadoop, etc.)
                                                  • -
                                                  -

                                                  -

                                                  Strategy, Operations & Innovation

                                                  -

                                                  Provide support to the Learning, Methodology, Quality Assurance, Strategy, Communications & Change, Audit Planning, Analysis & Reporting, Project Assurance, Operations and Operational Risk teams within Internal Audit. Key tasks may include:

                                                  -
                                                    -
                                                  • Training as a Scrum Master to support Audit teams deploying the Agile Audit approach
                                                  • -
                                                  • Project management for internal audit strategic initiatives
                                                  • -
                                                  • Acting as a business analyst on complex, multi-faceted initiatives
                                                  • -
                                                  • Assisting with reporting to the Audit Committee and executive management
                                                  • -
                                                  • Researching leading practices and emerging topics
                                                  • -
                                                  • Assisting with Methodology creation and documentation
                                                  • -
                                                  -
                                                  • Assisting with creation of dynamic Learning presentations
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                    -
                                                  • Post-secondary education major in Business or Accounting
                                                  • -
                                                  • Prior experience in internal audit would be an asset
                                                  • -
                                                  -

                                                  -

                                                  Anti-Money Laundering and Global Compliance

                                                  -

                                                  Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                  -
                                                    -
                                                  • Participating in audits, control design review, continuous audit review and consulting engagements
                                                  • -
                                                  • Participating in planning sessions to develop audit techniques using data analytics
                                                  • -
                                                  • Using Tableau to develop data analytics and visualization reports
                                                  • -
                                                  -
                                                  • Preparing management reports
                                                  -

                                                  -

                                                  Requirements

                                                  -
                                                    -
                                                  • Interest and experience in Financial Crimes and Anti-Money Laundering (AML), and Regulatory Compliance operations and frameworks for Financial Institutions
                                                  • -
                                                  • High level understanding of the underlying regulatory requirements and guidelines (OSFI Guideline B-8 and E-13) for Financial Institutions
                                                  • -
                                                  • Interest, experience and skills in developing and applying innovative solutions (data analytics and data visualization)
                                                  • -
                                                  -

                                                  -

                                                  -

                                                  HO2020

                                                  -

                                                  QAA2020

                                                  -

                                                  TAD2020

                                                  -

                                                  -

                                                  -

                                                  -

                                                  About RBC
                                                  Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                  -

                                                  -

                                                  Join our Talent Community

                                                  -

                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  -

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                  -

                                                  -

                                                  Inclusion and Equal Opportunity Employment
                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                  -

                                                  -

                                                  -

                                                  JOB SUMMARY

                                                  -

                                                  City: Toronto
                                                  Address: Virtually, at home
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Your Home Office
                                                  Employment Type: [[filter7]]
                                                  Career Level: Student Job
                                                  Pay Type: [[jobGrade]]
                                                  Required Travel (%): [[requiredTravel]]
                                                  Exempt/Non-Exempt: [[exemptionStatus]]
                                                  People Manager: [[peopleManager]]
                                                  Application Deadline: 11/08/2020
                                                  Req ID: 270018

                                                  -

                                                  Ad Code(s):

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/270018/Internal-Audit-Winter-2021-Student-Opportunities,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-11T06:25:02.143Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/41416563-internal-audit-winter-2021-student-opportunities-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -5a01718e-21df-48b6-99e8-11b78e5d2d54,41416607,RBC,"Cyber Security Analyst, Winter 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:41.584Z,"
                                                  -

                                                  What is the opportunity?
                                                  In the new world of more virtual usage, Cyber Security Analysts are in demand. At RBC we are proud to offer roles in the Cyber space. As a Cyber Security Analyst, you will perform exploratory analysis on various data sources and employ statistical techniques to improve the detection of potential cyber threats.

                                                  What will you do?

                                                  -
                                                    -
                                                  • Analyze large amounts of information to discover trends and patterns
                                                  • -
                                                  • Present information using data visualization techniques
                                                  • -
                                                  • Propose solutions and strategies to business challenges
                                                  • -
                                                  • Undertake preprocessing of structured and unstructured data
                                                  • -
                                                  -

                                                  What do you need to succeed?

                                                  -

                                                  Must-have

                                                  -
                                                    -
                                                  • Currently enrolled at a Canadian post-secondary institution in a registered Co-op program with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                  • -
                                                  • Leadership acumen and a passion is essential and will be applied in a dynamic business environment
                                                  • -
                                                  • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                  • -
                                                  • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                  • -
                                                  • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                  • -
                                                  • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                  • -
                                                  -

                                                  -

                                                  Nice-to-have

                                                  -
                                                    -
                                                  • Prior experience in data integration of disparate data sources
                                                  • -
                                                  • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                  • -
                                                  • Relational database concepts and design experience
                                                  • -
                                                  • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                  • -
                                                  -

                                                  -

                                                  What’s in it for you?

                                                  -

                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                    -
                                                  • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                  • -
                                                  • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                  • -
                                                  • Leaders who support your development through coaching and learning opportunities
                                                  • -
                                                  • Work in a dynamic, collaborative, progressive and highly performing team
                                                  • -
                                                  • Ability to make a difference and lasting impact
                                                  • -
                                                  • Enjoy a comfortable work environment with the option to dress casually
                                                  • +
                                                  • You are passionate about growing Canada’s global leadership in AI research.
                                                  • +
                                                  • You are highly organized, with strong time management and multitasking skills, and are motivated to work in a fast-paced environment with different stakeholders, including professional staff, students and alumni, as well as academics.
                                                  • +
                                                  • You are action oriented and have a demonstrated ability to take direction and turn it into actionable results.
                                                  • +
                                                  • You have demonstrated experience with small and large event planning.
                                                  • +
                                                  • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                  • +
                                                  • You possess a positive attitude, integrity, a sense of humor, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                                  • +
                                                  • You have excellent verbal and written English communication skills.
                                                  • +
                                                  • You possess a high level of proficiency with GSuite or the Microsoft Suite of applications, Excel in particular (with an emphasis on data manipulation and visualization skills), Mailchimp, Eventbrite, Canva, WordPress, Adobe Illustrator and Zapier.
                                                  • +
                                                  • +You have a keen eye for detail, design and data presentation (i.e., charts and graphs).
                                                    +
                                                  -

                                                  -

                                                  We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 8, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                  -

                                                  -

                                                  While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                  TAD2020

                                                  -

                                                  -

                                                  Learn more about RBC Tech Jobs

                                                  -

                                                  -

                                                  About RBC
                                                  Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                  -

                                                  -

                                                  Join our Talent Community

                                                  -

                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  -

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                  -

                                                  -

                                                  Inclusion and Equal Opportunity Employment
                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                  -

                                                  -

                                                  JOB SUMMARY
                                                  City: Toronto
                                                  Address: 330 Front Street West
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Office
                                                  Employment Type: [[filter7]]
                                                  Career Level: Student Job
                                                  Pay Type: [[jobGrade]]
                                                  Required Travel(%): [[requiredTravel]]
                                                  Exempt/Non-Exempt: [[exemptionStatus]]
                                                  People Manager: [[peopleManager]]
                                                  Application Deadline: 11/08/2020
                                                  Req ID: 272157

                                                  -

                                                  Posting Notes:

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/272157/Cyber-Security-Analyst-Winter-2021-Student-Opportunities,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-11T06:25:01.692Z,False,0,3,4,https://talenthub.vectorinstitute.ai/jobs/41416607-cyber-security-analyst-winter-2021-student-opportunities-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -c6354564-19db-426a-bc4a-097aeeb75eb3,41416648,RBC,Chief Architect - Enterprise Payments,on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:45.839Z,"
                                                  -

                                                  What is the opportunity?

                                                  -

                                                  RBC Enterprise Payments Technology is hiring a Chief Architect. You will be a recognized internal technical expert, focusing on both the strategic direction and leadership to major transformational initiatives and large complex portfolios to ensure the alignment of business objectives/requirements and technology strategies. The role is accountable for decisions influencing the success and output of the architecture group. You will also be expected to seek, assess and understand new industry practices and technology in order to drive the Digital Bank and Enterprise architecture and technology strategies forward. Lastly, the role is considered a thought leader and provides coaching and mentoring to all levels within architecture.

                                                  -

                                                  -

                                                  What will you do?

                                                  +

                                                  +

                                                  Please address applications (cover letter and resume) to Tolu Onajin, Human Resources Business Partner, using the link provided. Review of applications will begin December 13, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                  +

                                                  +

                                                  Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                  +

                                                  +

                                                  At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                  +

                                                  +

                                                  If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                  +
                                                  ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=159&source=other&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-01-01T20:11:32.649Z,False,0,1,34,https://talenthub.vectorinstitute.ai/jobs/96760407-program-coordinator-academic-partnerships-contract-at-vector-institute,,expired,2021-12-02T05:56:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Entry Level,Bachelors Degree,New Posting, +36d38955-2f1d-4b6a-9c76-76c14145a71e,96765537,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2021-12-02T06:49:10.916Z,"
                                                  +
                                                  +
                                                  +

                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                  +

                                                  +

                                                  +

                                                  Job Description:

                                                  +

                                                  +

                                                  Role Summary

                                                  +

                                                  +

                                                  Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                  +

                                                  +

                                                  Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                  +

                                                  +

                                                  Sun Life views success in this role in demonstration of these key attributes:

                                                  +

                                                  Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                  +

                                                  +

                                                  What will you do?

                                                    -
                                                  • Lead and participate as a deep technical experts in Architecture review boards, approving architectural decisions made on programs and projects or by portfolio owners
                                                  • -
                                                  • Provide project oversight to solution architects and mentor the design work for areas that are new to the team or high complexity
                                                  • -
                                                  • Consult and provide direction in early stages of the lifecycle, recommending best ways to design conceptual architectures; brings expertise in performance, scalability, enterprise architecture, and architectural best practices
                                                  • -
                                                  • Provide architect on projects with an expert understanding of architectures across other platforms and/or programs
                                                  • -
                                                  • Responsible for driving the solution and process innovation and adoption of emerging technology at RBC including but not limited to Digital Bank
                                                  • -
                                                  • Key lead contributor and influencer to Build vs. Buy recommendations and decisions based on deep analysis of architectural implications, requirements or constraints; stands up proofs- of-concept for next generation technology, tests and proves out scenarios that meet business objectives
                                                  • -
                                                  • Expert technical influence over multiple teams, increasing their productivity and effectiveness by sharing deep knowledge and experience
                                                  • -
                                                  • Responsible for driving skill development strategy in the Architecture space – in relation to innovative technologies; Coach and mentor the next generation of “technical experts” within T&O for career development, succession planning and spreading the technological knowledge in this space
                                                  • +
                                                  • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                  • +
                                                  • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                  • +
                                                  • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                  -

                                                  -

                                                  What do you need to succeed?

                                                  -

                                                  Must-have

                                                    -
                                                  • Over 10 years’ experience developing enterprise level architectural solutions
                                                  • -
                                                  • 6+ years’ experience developing architectural solutions with the intent to introduce new technologies into a mature organization
                                                  • -
                                                  • Proven experience with Data Architecture, Data Analytics and Business Analysis with demonstrated ability to lead research and architecture for emerging technologies
                                                  • -
                                                  • Ability to communicate, build and nurture relationships with business and industry leaders
                                                  • -
                                                  • Experience and enthusiasm developing blueprints that tie business objectives to operational requirements aligning architecture with organizational strategic direction
                                                  • -
                                                  • Experience in solving high complexity business challenges with Executive visibility leveraging existing or emerging technologies
                                                  • +
                                                  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                  • +
                                                  • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                  • +
                                                  • Champion and support diversity and inclusion

                                                  -

                                                  -

                                                  Nice-to-have

                                                  +

                                                  +

                                                  What will you need to succeed?

                                                    -
                                                  • Master’s Degree in Business, Computer Science, or Engineering preferred
                                                  • -
                                                  • International payments experience and knowledge of technology trends in the industry worldwide.
                                                  • +
                                                  • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                  • +
                                                  • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                  • +
                                                  • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                  • +
                                                  • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                  • +
                                                  • Experience with AWS services including SageMaker

                                                  • +
                                                  • Experience with machine learning including supervised and unsupervised models

                                                  • +
                                                  • Demonstrated experience in data transformation & data manipulation

                                                  • +
                                                  • Experience working with Structured vs. Unstructured data

                                                  • +
                                                  • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase,, Spark is strongly desirable

                                                  • +
                                                  • Effective and concise oral and written storytelling and insights communication skills

                                                  • +
                                                  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                  • +
                                                  • Ability to document work and effectively prioritize documentation

                                                  -

                                                  -

                                                  What’s in it for you?

                                                  -

                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  +

                                                  +

                                                  What will be nice to have?

                                                  +
                                                  • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                  +

                                                  +

                                                  Unique Requirements

                                                  +

                                                  +

                                                  The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                                                  +

                                                  +

                                                  What\'s in it for you?

                                                    -
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                  • -
                                                  • Leaders who support your development through coaching and managing opportunities
                                                  • -
                                                  • Ability to make a difference and lasting impact
                                                  • -
                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                  • -
                                                  • Opportunities to do challenging work
                                                  • -
                                                  • Opportunities to take on progressively greater accountabilities
                                                  • -
                                                  • Opportunities to building close relationships with clients
                                                  • -
                                                  • Access to a variety of job opportunities across business and geographies
                                                  • +
                                                  • Competitive salary and bonus structure influenced by market range data

                                                  • +
                                                  • 20 days vacation per year and an innovative sabbatical program

                                                  • +
                                                  • A friendly, collaborative and inclusive culture

                                                  • +
                                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                  • +
                                                  • Flexible Benefits from the day you join to meet the needs of you and your family

                                                  • +
                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                  • +
                                                  • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                  -

                                                  -

                                                  -

                                                  Learn more about RBC Tech Jobs



                                                  Join our Talent Community
                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                  JOB SUMMARY
                                                  City: Toronto
                                                  Address: 180 Wellington St W
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Office
                                                  Employment Type: Permanent
                                                  Career Level: Senior Manager/Director
                                                  Pay Type: Salary + Variable Bonus
                                                  Required Travel(%): 0-25
                                                  Exempt/Non-Exempt: N/A
                                                  People Manager: No
                                                  Application Deadline: 11/29/2020
                                                  Platform: Technology and Operations

                                                  Req ID: 252376
                                                  Ad Code(s):

                                                  -

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/252376/Chief-Architect-Enterprise-Payments,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.679Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/41416648-chief-architect-enterprise-payments-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, -cb278c8e-ad46-410d-b0e6-158e1dcaaebf,41417100,Loblaw Companies Ltd.,"Data Science Analyst,Customer Analytics/CRM - Attributes",on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-04T06:28:18.057Z,"
                                                  +

                                                  +

                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                  +

                                                  +

                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                  +

                                                  +

                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                  +

                                                  +

                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                  +

                                                  +

                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                  +

                                                  +

                                                  Salary Range:

                                                  74,900/74 900 - 125,900/125 900

                                                  +

                                                  Job Category:

                                                  Advanced Analytics

                                                  +

                                                  Posting End Date:

                                                  09/01/2022
                                                  +
                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00044795?utm_source=Vector_Institute,feed-importer@jobboard.io,,,,2022-01-01T20:12:27.814Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/96765537-senior-data-scientist-at-sun-life-financial,,expired,2021-12-02T06:49:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d57688f2-1c72-43f1-b750-c68012412c4b,96826894,CIBC,Sr. Finance Data Analyst,on_site,"Ontario, Canada",2021-12-02T10:03:07.016Z,"
                                                  -

                                                  Location:

                                                  1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                  -

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  +

                                                  We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                  +

                                                  At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                  +

                                                  To learn more about CIBC, please visit CIBC.com

                                                  -

                                                  Why is this role important?

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  +

                                                  Job Description

                                                  -

                                                  Why is this role important?

                                                  +

                                                  What You’ll Be Doing

                                                  -

                                                  Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                  -

                                                  If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                  -

                                                  The Data, Insights & Analytics team at Loblaw is hiring an Data Science Analyst. Reporting to the Senior Data Scientist, Data, Insights & Analytics, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                  +

                                                  The Global Process Owner Accounting (GPO) Team is accountable for working to align all Capital Market (CM) strategic initiatives for people, policies and technologies across geographies with a mindset to optimize processes and eliminate inefficiencies and redundancies. You will be leveraging your data analytics background and tools such as Alteryx, Tableau & DevOps to create workflows and visualizations to help management draw insights and aid in strategic decision making. You will contribute to and lead projects to optimize and simplify processes, working with a variety of internal stakeholders including CM Trading, Technology and Operations as well as numerous groups within Finance.

                                                  -

                                                  What You'll Do:

                                                  +

                                                  How You’ll Succeed

                                                    -
                                                  • Be end-to-end responsible for multiple Data Science projects. Deploy/Automate Predictive/Optimization models or workloads; be responsible for project pipelines/model documentation and maintenance.
                                                  • -
                                                  • Responsible for the extraction and analysis of complex information from a variety of databases as well as gathering unstructured data through web-scraping and other sources.
                                                  • -
                                                  • Translating learnings from the Decision Insights team’s data sciences initiatives into standardized data science product prototypes. Data science initiatives can be strategic in nature or of a tactical focus, including but not limited to customer genome/customer attributes building, consumer path analytics, product associations and recommendations, marketing campaigns, consumer based predictive models etc.
                                                  • -
                                                  • Analyze data to help determine insights to solve business problems; simplify and optimize the decision-making process through data products development and automation.
                                                  • -
                                                  • Research, develop and scale our data-driven systems particularly on customer-centric ML models and attributes.
                                                  • -
                                                  • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                  • -Act as gatekeeper with regards to security and confidentiality of data obtained through all sources. Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information -
                                                  • +Relationship management – possess good teamwork, partnership and relationship building skills sufficient to act in a collaborative manner with team members and stakeholders from different backgrounds and experiences. You will liaise daily with Finance, Front Office and other Capital Markets’ stakeholder groups. +
                                                  • +Accounting and Controls – draw on your controls & governance skill sets to design and implement processes that result in accurate, complete, and timely inputs used throughout Finance. You take a holistic view of problems end to end and develop deep understanding of the current state so you can recommend ways to do things better. You draw on your past experiences to lead significant break investigations and analysis which is then summarized and presented to key stakeholders.
                                                  • +
                                                  • +Subject Matter Expertise - Provide subject matter expertise (SME) on business analytics serving as the lead on all reporting / data visualization projects to gather reporting and data visualization requirements and develop user reports and dashboards.
                                                  • +
                                                  • +Data/Reporting - Deliver key design and solution on reporting and dashboarding projects as well to provide thought leadership on data capture and delivery for the overall project.
                                                  • +
                                                  • +Advisory - Provide advisory and training to Finance users on the adoption and proper use of the business analytics tools.
                                                  • +
                                                  • +Agility – drive value by integrating, standardizing and sustaining the processes throughout the CIBC. You will help in eliminating process inefficiencies and creating enterprise-wide changes by developing a good understanding of the current state processes, defining the target state, and helping establishing a plan to streamline.

                                                  -

                                                  What You'll Bring:

                                                  +

                                                  Who You Are

                                                    -
                                                  • BS (2+ years of industry experience)/MS in Data Science, Computer Science, Statistics, Mathematics, Engineering or other relevant fields.
                                                  • -
                                                  • Programming skills with SQL, Python, PySpark/Scala.
                                                  • -
                                                  • Strong knowledge with applied understanding of statistical modelling, machine learning and data mining.
                                                  • -
                                                  • Expertise in software engineering at scale, along with proficiency in using industry-standard development tools such as Git.
                                                  • -
                                                  • Software/data engineering or analytics experience with a focus on algorithm implementation, code deployment and productionization is preferred.
                                                  • -
                                                  • Experience with deep learning is an asset.
                                                  • -
                                                  • Knowledge of NLP is an asset.
                                                  • -
                                                  • Knowledge of data management practices and standards.
                                                  • -
                                                  • Understanding of Google Cloud Platform (GCP), Azure Data Engineering Stack, and other big data tools/technologies (HDFS, HBase, Spark, Kafka).
                                                  • -
                                                  • Experience with Teradata, Databricks and Google Cloud platform is an asset.
                                                  • -
                                                  • Retail analytics experience with a marketing focus is an asset.
                                                  • -
                                                  • Ability to take initiative, be responsible, accountable and multi-tasking in a fast-paced environment.
                                                  • -
                                                  • Strong detail orientation is essential in this role.
                                                  • -
                                                  • Strong oral and written communication skills.
                                                  • -
                                                  • A team player, self-starter, dynamic problem solver and data science enthusiast.
                                                  • +
                                                  • +You are an experienced data professional. You have 2 or more years of experience as a dashboarding or reporting specialist and 3 years of relevant industry experience. You have comprehensive knowledge of a number of workflow automation or data visualization tools / platforms with the ability to interpret complex business requirements. Practical DevOps, Alteryx & Tableau experience an asset
                                                  • +
                                                  • +You can demonstrate experience with a strong Capital Markets accounting background in order to support the oversight and governance functions, including enhancement of financial controls across multiple groups.
                                                  • +
                                                  • +You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                                  • +
                                                  • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                  • +
                                                  • +You have a degree in Computer Science, Business, Finance or Accounting, a certificate in Data Science, or an equal combination of education and industry experience.
                                                  • +
                                                  • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                  -

                                                  What You Can Expect:

                                                  -

                                                  We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                  +

                                                  What CIBC Offers

                                                  -

                                                  Other perks of joining Loblaw:

                                                  +

                                                  At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    -
                                                  • Competitive compensation and benefits package
                                                  • -
                                                  • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!) with flexibility to work elsewhere
                                                  • -
                                                  • A flexible work environment which values balance
                                                  • -
                                                  • Colleague Discount Program
                                                  • -
                                                  • Tuition reimbursement Program
                                                  • -
                                                  • Employee Share Ownership plan
                                                  • -
                                                  • Pension Plan
                                                  • +
                                                  • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                  • +
                                                  • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration, and creativity
                                                  • +
                                                  • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                  • +
                                                  • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                  -

                                                  If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                  We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                  -

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  Employment Type:

                                                  Full time

                                                  -

                                                  -

                                                  Type of Role:

                                                  Regular

                                                  -

                                                  Type of Contract:

                                                  +

                                                  What you need to know

                                                  +
                                                    +
                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com +
                                                  • +
                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                  • +

                                                  +

                                                  Job Location

                                                  18 York Street, 10th floor

                                                  Employment Type

                                                  Regular

                                                  +

                                                  Weekly Hours

                                                  37.5

                                                  Skills

                                                  +

                                                  Alteryx, Azure Devops, Business Analysis, Capital Markets, Tableau
                                                  +
                                                  ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analytics-Consultant--GPO_2125909,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2021-12-13T10:08:02.600Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/96826894-sr-finance-data-analyst-at-cibc,,expired,2021-12-02T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +98c55ead-28cf-4738-8931-11e5dcc11a6e,96837023,BMO Financial Group,Senior Business System Analyst - (Data / DevOps / Testing / Banking),on_site,"Toronto, ON M8X 1C4, Canada",2021-12-02T10:50:03.288Z,"
                                                  +

                                                  Address:

                                                  120 Bloor Street East

                                                  -

                                                  Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                  +

                                                  Job Family Group:

                                                  Technology

                                                  -

                                                  Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                  -
                                                  -
                                                  ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science-Analyst-Customer-Analytics-CRM---Attributes_R2000194107,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-11T06:24:00.000Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/41417100-data-science-analyst-customer-analytics-crm-attributes-at-loblaw-companies-ltd,,expired,2020-11-04T06:28:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -6eb222f0-8df0-45b6-849f-02284f9affb7,41662991,Scotiabank,"Sr. Manager, Data Integration",on_site,"Toronto, ON, Canada",2020-11-09T20:19:09.928Z,"

                                                  Requisition ID: 90197

                                                  +

                                                  As part of the newly formed Business Analysis team in Corporate Treasury Technology, this Senior Business System Analyst role is required to execute the team's mandate to advance our business analysis practice and drive change to our applications. The successful candidate can expect a dynamic work environment with leadership opportunities. The team is currently focused on 2 major data centric programs in the Corporate Treasury portfolio that takes all instruments from total bank’s balance sheet source systems daily. These projects will provide firsthand experience of the data and applications in our portfolio.

                                                  -

                                                  Join the Global Community of Scotiabankers to help customers become better off.

                                                  -

                                                  The Team

                                                  -

                                                  In partnership with the Customer Insights Data and Analytics teams and our IT partners the Data and Analytics Technology team supports the banks Data and Analytics needs with tooling, projects and IT operational support.

                                                  -

                                                  The Role

                                                  -

                                                  The Sr Manager Data Integration role will be responsible for the Platform designing, building, monitoring, tuning, and troubleshooting bank wide initiatives supported by Data and Analytics Technology. This consists of platform building, tooling, integration, process automation, platform enhancement, and delivery of new projects.

                                                  -

                                                  Some of the key accountabilities include:

                                                  -
                                                    -
                                                  • Responsible for planning, executing and delivering projects and other initiatives & Ensuring clarity around priorities and goals.
                                                  • -
                                                  • Provide status reports, resolve conflicts, enable teams & Work with senior management and other peers for strategy development and execution planning
                                                  • -
                                                  • Manage a team of high performing and skilled resources, mentor them, provide coaching, perform HR & other admin functions as required.
                                                  • -
                                                  • Perform duties as required for running a department like working with Audit, compliance, finance team.
                                                  • -
                                                  • Encourage team members to openly share ideas, make decision, drive collaboration across teams.
                                                  • -
                                                  • Build Big-Data and Data Science platform and frameworks using Big-Data and Distributed compute technologies.
                                                  • -
                                                  • Participate in and build tools to diagnose and fix complex distributed systems handling petabytes of data & drive opportunities to automate infrastructure deployments, and observability of data services.
                                                  • -
                                                  • Troubleshoot, system capacity, bottlenecks, basics of memory, CPU, kernel, and storage.
                                                  • -
                                                  • Test, monitor, administer, optimize and operate multiple big data clusters on premise and/or in cloud.
                                                  • -
                                                  • Partner with ETL developers in building best practices for Data Warehouse and analytics environment.
                                                  • -
                                                  • Investigate emerging technologies in big data space that relate to our needs and implement those technologies.
                                                  • -
                                                  • Documents and maintains operational procedures and processes.
                                                  • -
                                                  • Maintains effectiveness of data management processes to be complied with bank's policies and standards.
                                                  • -
                                                  • Understand of change control processes and write change requests.
                                                  • -
                                                  -

                                                  What You Will Bring to Succeed

                                                  +

                                                  Job Description:

                                                  +

                                                  Liaises with stakeholders to understand problems and opportunities and recommends solutions to enable the achievement of organizational goals. Builds exceptional relationships with business partners and internal stakeholders. Analyzes data and creates documents and plans in service of informing, advising, or updating stakeholders. Ensures the requirements map to a real business need, are approved by all relevant stakeholders, and meet essential quality standards. Participates in reviews or inspections, in collaboration with the project team, to ensure the quality of work products.

                                                    -
                                                  • 5 + years of recent experience in data engineering, handling services in a large-scale distributed systems environment.
                                                  • -
                                                  • Exposure to data lineage, meta data management and ETL tools like Collibra/Atlas/IGC, Erwin and DataStage/ Talend / Diyotta
                                                  • -
                                                  • A solid track record of data management showing your flawless execution and attention to detail.
                                                  • -
                                                  • Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks
                                                  • -
                                                  • Experience implementing and using streaming platforms such as SparkSQL, Flink, Kafka, Storm, etc.
                                                  • -
                                                  • Knowledge of Linux operating system internals, file systems, disk/storage technologies and storage protocols and networking stack
                                                  • -
                                                  • Experience with cluster / Grid environment and integration among applications, data (Mulesoft exp is a plus)
                                                  • -
                                                  • Proven knowledge of systems programming (bash and shell tools) and/or at least one scripting language (Java, Python, Ruby, Perl)
                                                  • -
                                                  • Experience with RDBMS and/or NoSQL (e.g. ORACLE, MySQL, PostgreSQL, MongoDB, Cassandra)
                                                  • -
                                                  • Experience with building DevOps/deployment pipelines with Ansible and other related technologies
                                                  • -
                                                  • Experience with Docker or other containerization technologies (Kubernetes e.g.)
                                                  • -
                                                  • Experience in supporting or developing Micro Services, Serverless architecture, Service Oriented Architecture, Web Services, or Data Processing Pipeline
                                                  • -
                                                  • Exposure to working on cloud platforms like Azure/GCP/AWS
                                                  • -
                                                  • Experience with Agile/Scrum development methodologies
                                                  • -
                                                  • Team player with strong communication skills (verbal and written)
                                                  • -
                                                  • Able to see tasks through to completion without significant guidance
                                                  • -
                                                  • Self-managed and results-oriented with sense of ownership is required
                                                  • -
                                                  • Bachelor's degree or better in Computer Science, Mathematics or relevant.
                                                  • -
                                                  -

                                                  -

                                                  The Workplace

                                                  -
                                                    -
                                                  • We are technology partners who help the business transform how our employees around the world work
                                                  • -
                                                  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                  • -
                                                  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                  • -
                                                  • We foster an environment of innovation and continuous learning
                                                  • -
                                                  • We care about our people, allowing them to design how they work to deliver amazing results
                                                  • -
                                                  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                                  • -
                                                  -

                                                  #INTECH

                                                  -

                                                  -

                                                  Location(s): Canada : Ontario : Toronto

                                                  -

                                                  As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                  -

                                                  -

                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                  ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Data-Integration-ON/542143917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-12-11T14:13:33.616Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/41662991-sr-manager-data-integration-at-scotiabank,,expired,2020-11-09T20:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -35d088c6-9c04-4c1e-b351-ad3f7602d045,41662994,BMO Financial Group,"Analyst, Channel Analytics",on_site,"Toronto, ON, Canada",2020-11-09T20:31:44.807Z,"

                                                  The Channels Analyst is responsible for developing automated, scalable reporting and analytics solutions for Canadian Personal & Business Banking. This position will support omni-channel analytics through delivery of reporting, insights and measurement in line with Enterprise strategy and Digital Acceleration.

                                                  -

                                                  -

                                                  The incumbent will act as reporting and analytics subject matter expert for the Digital Channels portfolio while also supporting North American Customer Contact Centre, combining both business and technology acumen to generate and maintain reporting in various forms (ad-hoc analyses, data visualization, self-serve BI).

                                                  -

                                                  -

                                                  Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                  -

                                                  -
                                                    -
                                                  • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                  • -
                                                  • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                  • -
                                                  • Build Power BI Dashboards from scratch and maintain existing reporting
                                                  • -
                                                  • Data curation – extracting data from multiple sources, manipulating and validation using database tools. Must have SAS, SQL skills and experience -
                                                  • -
                                                  • Identify, analyze and interprets trends of patterns in complex data set. Analyze data to drive business decisions and actionable recommendations
                                                  • -
                                                  • Assimilate and analyze information from a variety of sources, make recommendations and present information in an easy and understandable manner
                                                  • -
                                                  • Develop in-depth understanding of BMO data and systems (IDP, CAD, CDW, Adobe)
                                                  • -
                                                  • Comfortable with ambiguity – self-learner able to independently navigate complex data
                                                  • -
                                                  • Work proactively and collaboratively with key clients and stakeholders to continuously enhance reporting
                                                  • -
                                                  • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                                                  • -
                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                  • +
                                                  • Manages complexity across business value, technology, and interaction models.
                                                  • +
                                                  • Possesses a deep understanding and problem-solving ability of various complexities.
                                                  • +
                                                  • Develops innovative approaches to create solutions to resolve problems and significant issues.
                                                  • +
                                                  • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                  • +
                                                  • Identifies emerging issues and trends to inform decision-making.
                                                  • +
                                                  • Contributes to the development of the seed funding request by ensuring project scope and benefits are clearly articulated and risks are identified.
                                                  • +
                                                  • Enables groups to successfully accept changes by informing stakeholders of their implications; recommends actions as appropriate.
                                                  • +
                                                  • Prepares and delivers presentations for senior leaders.
                                                  • +
                                                  • Acts in a larger project planning capacity.
                                                  • +
                                                  • Audits the quality of reports submitted by analysts and provides related coaching and support.
                                                  • +
                                                  • Supports the Request for Information (RFI) or Request for Proposal (RFP) with vendors if required.
                                                  • +
                                                  • Leads the preparation of end user reference materials and prepares end-user training materials.
                                                  • +
                                                  • Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs.
                                                  • +
                                                  • Ensures system specifications meet expectations/requirements and negotiates solutions.
                                                  • +
                                                  • Creates documentation to ensure the supportability of analyses.
                                                  • +
                                                  • Maintains existing requirements to ensure that current-state needs are known.
                                                  • +
                                                  • Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
                                                  • +
                                                  • Identifies, analyzes, and interprets trends or patterns in complex data sets.
                                                  • +
                                                  • Interprets large data sets that cover all lines of businesses at BMO Financial Group. Ability to filter and “clean”/normalize data.
                                                  • +
                                                  • Remains alert to new techniques for insights, analytics, and data visualization, and devises new ways of applying them.
                                                  • +
                                                  • Interprets data, analyzes results using statistical techniques and provide ongoing reports.
                                                  • +
                                                  • Recommends approaches to streamline and integrate technological processes in the organization to improve overall efficiency.
                                                  • +
                                                  • Facilitates discussions and follows a structured approach to plan, elicit, analyze, document, communicate and manage requirements with stakeholders.
                                                  • +
                                                  • Provides analytical support and insights.
                                                  • +
                                                  • Identifies opportunities to strengthen business analysis capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks across BMO.
                                                  • +
                                                  • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                  • +
                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                  • +
                                                  • Provides specialized consulting, analytical and technical support.
                                                  • +
                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                  • +
                                                  • Works independently and regularly handles non-routine situations.
                                                  • +
                                                  • Acts as the key technology contact in day-to-day interactions with business and other stakeholders.
                                                  • +
                                                  • Provides leadership/guidance to other technology teams to deliver solution.
                                                  • +
                                                  • Broader work or accountabilities may be assigned as needed.

                                                  +

                                                  Qualifications:

                                                    -
                                                  • Qualifications:
                                                  • -
                                                  • Typically between 4 - 6 years of relevant experience in business intelligence/ ETL, analytics and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                  • -
                                                  • Strong experience within data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R/Python - In depth
                                                  • -
                                                  • Experience implementing data visualization (Power BI) In depth
                                                  • -
                                                  • Strong logical thinking, analytical and problem solving skills;
                                                  • -
                                                  • Willingness to learn and being curious;
                                                  • -
                                                  • Technical proficiency gained through education and/or business experience.
                                                  • +
                                                  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                  • +
                                                  • Possesses analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
                                                  • +
                                                  • Extensive experience working with large data sets. Any/all financial sector experience is an asset.
                                                  • +
                                                  • Demonstrates applied knowledge of one or more analysis and problem decomposition technique.
                                                  • +
                                                  • Understands complete Software Development Life Cycle and can apply the applicable portions of the ‘Feasibility,’ ‘Requirements,” and ‘Analysis’ phases.
                                                  • +
                                                  • Demonstrates writing and documentation skills.
                                                  • +
                                                  • Understands and can explain to others the core processes involved in their area of support.
                                                  • +
                                                  • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                  • Verbal & written communication skills - In-depth.
                                                  • Collaboration & team skills - In-depth.
                                                  • -
                                                  • Analytical and problem solving skills - In-depth.
                                                  • +
                                                  • Analytical and problem-solving skills - In-depth.
                                                  • Influence skills - In-depth.
                                                  • Data driven decision making - In-depth.
                                                  -

                                                  -

                                                  +

                                                  +

                                                  We’re here to help

                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                  -

                                                  To find out more visit us at https://bmocareers.com.

                                                  -

                                                  -

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Channel-Analytics_R200014209,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-12-10T00:10:54.612Z,False,0,5,75,https://talenthub.vectorinstitute.ai/jobs/41662994-analyst-channel-analytics-at-bmo-financial-group,,expired,2020-11-09T20:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -8fe19ed7-a881-4503-9c05-b26129ea451b,41665018,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2020-11-10T06:19:12.130Z,"
                                                  -

                                                  Company Overview

                                                  -
                                                  -

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  -

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  -
                                                  +

                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                  -

                                                  Department Overview

                                                  -
                                                  The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.
                                                  +

                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                  +
                                                  ",,https://jobs.bmo.com/ca/en/job/R210022643/Senior-Business-System-Analyst-Data-DevOps-Testing-Banking,info@bmocareers.com,https://bmocareers.com/,,,2021-12-09T10:55:03.197Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/96837023-senior-business-system-analyst-data-devops-testing-banking-at-bmo-financial-group,https://jobs.bmo.com/ca/en/job/R210022643/Senior-Business-System-Analyst-Data-DevOps-Testing-Banking,expired,2021-12-02T10:50:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8ef2765e-c54d-46ba-8fd7-3b8d55e6a130,343307680,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Scarborough,2024-09-23T16:30:02.883Z,"

                                                  +

                                                  +

                                                  +

                                                  +

                                                  Requisition ID: 207294

                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                  +

                                                  +

                                                  The Role

                                                  +

                                                  +

                                                  Contributes to the overall success of Fraud Management - ensuring specific individual goals, and initiatives are delivered in support of business strategies and priorities to protect the Bank and our customers. As Manager, Data Engineer, you will be a key member of our Fraud Business Intelligence team that provides fact based operational insights to Canada Fraud Operations. Leveraging your expertise in data modeling, data engineering, data visualization, and strong analytical background, to organize and transform raw data into actionable meaningful information. You will be responsible for the full scorecard and metric development lifecycle that includes analysis and requirements gathering, data profiling/mapping, data modelling and ETL development.

                                                  +

                                                  Is this role right for you? In this role you will:

                                                  +

                                                  +

                                                  This is a highly technical role that requires close stakeholder engagement, main accountabilities are:

                                                  +
                                                  • +Work closely with stakeholders to understand business needs, data specifications and translate requirements into metrics, technical design and wireframe; Define and develop actionable KPIs/metrics that align with strategic goals within Fraud Management
                                                  • +Act as subject matter expert on Fraud datasets and source systems
                                                  • +Develop data pipelines and design dimensional data model that will provide insights into business problems within Azure Cloud
                                                  • +Support Senior Manager, Business Intelligence on establishing and enhancing BI framework and standards, and optimizing change management process
                                                  • +Production Level 1 support to sustain BI features after release, prioritize fixes for defects, monitor report usage and identify value-add functionalities to improve adoption
                                                  • +Be an active member of a scrum team, leveraging agile methodology for incremental and early delivery of MVP features; actively participate in scrum ceremonies to continuously improve BI product
                                                  • +Capable of working on multiple activities simultaneously in a highly dynamic environment and capable of understanding complex requirements and meeting project deadlines
                                                  • +Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                  • +Actively pursues effective and efficient operations of their respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct
                                                  • +
                                                  +

                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                  +

                                                  +
                                                  • Post-secondary degree in Computer Science, Engineering, or related STEM discipline
                                                  • 5+ years of hands-on experience in Business Intelligence/Data Warehousing
                                                  • Expert knowledge of SQL and dimensional data modelling
                                                  • 1-2 years working with Azure Cloud – SQL MI, Data Factory, and Data Flow
                                                  • 1-2 years working with Azure DevOps pipeline and TFS code repository
                                                  • Minimum of 1 year developing data visualizations using Power BI
                                                  • Experience working within a scrum team and an agile environment
                                                  • Experience working with Power platform (PowerApps, PowerAutomate, PBI copilot) as asset
                                                  • Prior experience supporting Fraud KPI reporting as asset
                                                  • Strong verbal, written, presentation & communication skills
                                                  • Proactive, organized, excellent analytical and problem-solving skills
                                                  • +
                                                  +


                                                  What’s in it for you?

                                                  +

                                                  +
                                                  • A rewarding career path with diverse opportunities for professional development
                                                  • A culture that promotes teamwork and cross-functional collaboration to achieve business goals. Inclusive workplace that values diversity of thought, background, and experience
                                                  • A competitive compensation and benefits package
                                                  • Opportunity to work with a very enthusiastic, technical yet fun team that helps our clients by ensuring the Bank is able to continue to operate to deliver key business services.
                                                  • Hybrid working environment allowing for work/life balance
                                                  • +
                                                  +

                                                  +

                                                  Location(s): Canada : Ontario : Scarborough

                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                  ",,https://jobs.scotiabank.com/job/Scarborough-Data-Engineer-Manager-ON-M1K5L1/584741617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/343307680-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Scarborough-Data-Engineer-Manager-ON-M1K5L1/584741617/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +d765b003-cfa9-4057-b282-16b9f55b4b4c,343275876,RBC,"Senior Data Engineer, GFT",on_site,"Toronto, ON, Canada",2024-09-23T08:19:03.393Z,"
                                                  +

                                                  Job Summary

                                                  +

                                                  +

                                                  +

                                                  Job Description

                                                  +

                                                  What is the opportunity?

                                                  -

                                                  Job Description

                                                  -
                                                  The Business Insights Specialist will be accountable for delivering timely, meaningful business performance reporting and analytics that drive measurable business value across our business lines. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                                  -

                                                  Primary Responsibilities

                                                  -

                                                  Working closely with business stakeholders to provide thought-leadership and facilitate data-driven fact-based decisions
                                                  Support the design and execution of suitable analytical solutions in a timely fashion to support business decisions
                                                  Enhance reporting and business insights generating capability by developing a “best-in-class” reporting function that delivers timely, meaningful business performance reporting & insights that drive measurable business value. Help make reporting/business insights a competitive advantage
                                                  Responsible for identification and development of advanced analytics use cases that drive business value
                                                  Provide proactive “value-added” insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                                  Preparation and distribution of sales, performance (dashboards and scorecards) and business management reporting, as required
                                                  Liaise with business stakeholders to ensure timely and accurate deliverable
                                                  Continuously review existing reporting requirements and processes, proactively providing thought leadership and hands-on development and execution for future reporting needs and metrics

                                                  -
                                                  +

                                                  Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

                                                  -

                                                  Requirements

                                                  -
                                                  Qualifications/Skills/Experience:

                                                  -

                                                  Over 5 years of relevant experience in analytics, reporting, analysis and insights, or business strategy functions in the Financial Services industry
                                                  Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                                  Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                                  Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                                  Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                                  Disciplined with a proven track record of delivering results and executing with excellence
                                                  Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                                  Education

                                                  -

                                                  Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                                  Technical Knowledge/Skills

                                                  -

                                                  5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                                  Experience with creating complex Tableau dashboards considered an asset

                                                  -
                                                  +

                                                  Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

                                                  -

                                                  Hours

                                                  -
                                                  37.5
                                                  +

                                                  As a Data Engineer you will be a part of the IDEA team, performing ETL activities, data modeling and building the data infrastructure that powers effective decision-making. You will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to automate several critical processes within the organization. You will be working in a cross functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets. You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with IDEA and GFT strategic objectives.

                                                  -

                                                  Inclusiveness

                                                  -

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  +

                                                  What will you do?

                                                  +
                                                    +
                                                  • Work in partnership with other developers on the team to build data pipelines to support data models and ensure data quality throughout processing, automation, and modeling

                                                  • +
                                                  • Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it

                                                  • +
                                                  • Manage multiple complex projects, identifying dependencies and working on parallel tracks independently

                                                  • +
                                                  • Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.

                                                  • +
                                                  • Collaborate with the development team to track and resolve data quality issues or discrepancies.

                                                  • +
                                                  • Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.

                                                  • +
                                                  • API services development and enhancement

                                                  • +

                                                  -
                                                  ",,https://jobs.td.com/en-CA/jobs/11675626/business-insights-specialist-toronto-ca/,adam.renkosinski@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-12-16T19:26:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/41665018-business-insights-specialist-at-td-bank-group,,expired,2020-11-10T06:19:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -d3e4c960-130f-477e-9b48-c5a9a8262213,41713604,Loblaw Companies Ltd.,Senior Data Engineering Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-11T06:19:33.017Z,"
                                                  -
                                                  -
                                                  -

                                                  Location:

                                                  1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                  -

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  -

                                                  -

                                                  -

                                                  -

                                                  Why is this role important?

                                                  -

                                                  Located at our headquarters in Brampton at 1 Presidents Choice Circle, the Analyst will provide accurate, easy-to-use and timely data solutions to support analysis of Retail and Health data across Enterprise. You may also have the opportunity to support other unique projects and enterprise-wide analytical initiatives.

                                                  -

                                                  We're looking for someone who can roll up their sleeves and start understanding data on a scale and build data products , You'll help the team and yourself by documenting your learning while getting a greater understanding of how a large organization manages data and information. You'll be surrounded by seasoned veterans in Analytics that you'll be able to learn a lot from.

                                                  -

                                                  Accountabilities:

                                                  +

                                                  What do you need to succeed?

                                                  +

                                                  Must Have

                                                    -
                                                  • Create Data pipe lines from various source systems to Enterprise Data warehouse/Cloud
                                                  • -
                                                  • Extract data from various source systems and data stores for data profiling and analysis
                                                  • -
                                                  • Support the implementation of solutions/changes to production environment
                                                  • -
                                                  • Document and Design Project enhancements and create process for Data life cycle management
                                                  • -
                                                  • Support Data cleansing and data migration tasks
                                                  • -
                                                  • Generate reports using adhoc queries or using BI Tools like MicroStrategy or Qlik
                                                  • -
                                                  • Participate in feature engineering and development of Analytical models
                                                  • -
                                                  • Work closely with stakeholders across the organization to gather data requirements for various data initiatives and other data consumption needs.
                                                  • -
                                                  • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions
                                                  • +
                                                  • 5+ years of experience in data engineering, performance optimization for large data driven applications.

                                                  • +
                                                  • Experience with multiple integration/ETL patterns: batch, streaming, API/microservices

                                                  • +
                                                  • Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications

                                                  • +
                                                  • Working knowledge of modern data architecture and platforms: cloud, data mesh, Data Lakehouse, delta lake

                                                  • +
                                                  • Working knowledge of SQL language, proficiency with at least one programming language preferably Python, Spark, Non-relational databases, Airflow, Kafka, Redis.

                                                  • +
                                                  • Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively

                                                  • +
                                                  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

                                                  • +
                                                  • Experience with OpenShift, S3

                                                  • +
                                                  • Ability to work independently and in a team

                                                  -

                                                  Role Requirements:

                                                  +

                                                  +

                                                  Nice to Have

                                                    -
                                                  • University or college degree in Business, or an equivalent degree in a related field of study, or related working experience
                                                  • -
                                                  • 3+ years of ETL tools experience such as Informatica, Attunity, Datastage or similar
                                                  • -
                                                  • 5-10 years of experience in relational databases like Teradata or Big query
                                                  • +
                                                  • Knowledge of machine learning and data science concepts and tools.

                                                  • +
                                                  • Knowledge of any other programming languages such as Javascript or Java

                                                  • +
                                                  • Understanding and passion for machine learning/AI

                                                  • +
                                                  • Experience working with at least one of Snowflake, PostgreSQL, and/or other DBMS platforms

                                                  -

                                                  3-6 years of relevant work experience in Retail, Health care, Advertising, Marketing or Merchandising is an asset

                                                  +

                                                  +

                                                  What’s in it for you?

                                                  +

                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    -
                                                  • Hands on experience in Teradata and Teradata Utilities like FLOAD, MLOAD, BTEQ ,TPT and FASTEXPORT is preferred -
                                                  • -
                                                  • Hands-on development in Enterprise Data Warehouse with focus on Data Ingestion
                                                  • -
                                                  • Hands on experience with data modeling and presentation layer
                                                  • -
                                                  • Proficient with SQL, Complex SQL Tuning and Data Warehousing best practices
                                                  • -
                                                  • Experience in BI reporting tools such as MicroStrategy, Qlik is an asset
                                                  • -
                                                  • Demonstrated ability to effectively communicate ideas and actions to those at all levels of the organization
                                                  • -
                                                  • Knowledge of Project Management and Release management tools
                                                  • -
                                                  • Knowledge and experience in Cloud technologies like GCP, Azure is an asset
                                                  • -
                                                  • Knowledge of SAP or Sales force is an asset
                                                  • -
                                                  • Must be Detail oriented and possess problem solving skills
                                                  • -
                                                  • Ability to thrive in a fast paced, challenging and constantly changing work environment
                                                  • +
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                  • +
                                                  • Leaders who support your development through coaching and managing opportunities

                                                  • +
                                                  • Ability to make a difference and lasting impact

                                                  • +
                                                  • Work in a dynamic, collaborative, progressive, and high-performing team

                                                  • +
                                                  • A world-class training program in financial services

                                                  • +
                                                  • Opportunities to do challenging work, to take on progressively greater accountabilities, to building close relationships with clients

                                                  • +
                                                  • Access to a variety of job opportunities across business and geographies.

                                                  +

                                                  +

                                                  #LI-Post

                                                  +

                                                  #LI-Hybrid

                                                  +

                                                  #LI-PK

                                                  +

                                                  #TechPJ

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  Employment Type:

                                                  Full time

                                                  -

                                                  -

                                                  Type of Role:

                                                  Regular

                                                  -

                                                  Type of Contract:

                                                  -

                                                  -

                                                  -

                                                  -

                                                  Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                  -

                                                  +

                                                  Job Skills

                                                  Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                  -

                                                  Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                  -
                                                  -
                                                  ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Engineering-Analyst_R2000194567,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-18T06:25:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/41713604-senior-data-engineering-analyst-at-loblaw-companies-ltd,,expired,2020-11-11T06:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -fe238ace-e54c-4e2a-ad44-7493e7318ba6,41713639,Loblaw Companies Ltd.,"Senior Data Analyst, Data Management",on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-11T06:19:37.858Z,"
                                                  -
                                                  -
                                                  -

                                                  Location:

                                                  1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                  +

                                                  Additional Job Details

                                                  +

                                                  Address:

                                                  RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                  City:

                                                  TORONTO

                                                  Country:

                                                  Canada

                                                  Work hours/week:

                                                  37.5

                                                  Employment Type:

                                                  Full time

                                                  Platform:

                                                  TECHNOLOGY AND OPERATIONS

                                                  Job Type:

                                                  Regular

                                                  Pay Type:

                                                  Salaried

                                                  Posted Date:

                                                  2024-09-06

                                                  Application Deadline:

                                                  2024-09-27

                                                  -

                                                  The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                  -

                                                  Why is this role important?

                                                  -

                                                  Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for innovative, talented, and energetic people to help bring our Data Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way! If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                  +
                                                  +

                                                  Inclusion and Equal Opportunity Employment

                                                  +

                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                  ​​​​​​​
                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                  +

                                                  -

                                                  The Data Insights & Analytics team at Loblaw is seeking a Senior Data Analyst with background in big data, cloud and relational databases. We are currently in the process of modernizing the data infrastructure onto cloud technologies to unlock the value of our data and drive richer insights to our business partners.

                                                  -

                                                  Reporting to the Senior Manager, Data Management, the incumbent will support large data initiatives by leveraging their expertise in obtaining, analyzing and manipulating data to identify insights and data patterns. He or she will be responsible for creating and maintaining data requirements, transformations and system documentation.

                                                  -

                                                  What You'll Do:

                                                  +

                                                  Join our Talent Community

                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                  +
                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000098473/Senior-Data-Engineer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-30T08:25:03.383Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/343275876-senior-data-engineer-gft-at-rbc,,expired,2024-09-23T08:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +eae96751-96a3-42ee-a340-00e1e34275bf,342407648,ChatGPV Inc.,Chief Technology Officer ,full,"Toronto, ON, Canada",2024-09-17T03:05:38.102Z,"

                                                  Who we are:

                                                  +

                                                  ChatGPV's mission is to ensure that artificial general intelligence benefits all of humanity. ChatGPV is an artificial intelligence assistant. Learn more at www.ChatGPV.com

                                                  +

                                                  Join us in shaping the future of technology. At our company, we foster a culture of innovation where every employee plays a part in building breakthroughs together. Apply now to be a part of our team!

                                                  +

                                                  What You’ll Do:

                                                  +

                                                  As the CTO, you will lead the development of core AI capabilities for integration into ChatGPV's suite of products. Your responsibilities include:

                                                    -
                                                  • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                  • -
                                                  • Provide support to Data Governance initiatives such as data quality, data lineage and metadata management.
                                                  • -
                                                  • Transform extracted data from large and disconnected datasets into insights suitable for presentation to various audiences.
                                                  • -
                                                  • Develop capabilities to identify areas of opportunity and improve business processes, data architecture and reporting efficiency.
                                                  • -
                                                  • Work collaboratively with business and analytics groups, on cross functional projects and data initiatives to solve business problems.
                                                  • -
                                                  • Extract, review and prepare data for analysis & reporting using SQL and/or Python.
                                                  • -
                                                  • Creation of UML diagrams including but not limited to sequence and data flow diagrams.
                                                  • -
                                                  • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information.
                                                  • +
                                                  • Shaping our data strategy and driving innovation to deliver actionable insights for business growth.
                                                  • +
                                                  • Collaborating across teams to implement AI/ML technologies.
                                                  • +
                                                  • Architecting large-scale cloud offerings and leading the development of AI/ML features for ChatGPV.
                                                  • +
                                                  • Working closely with the CEO to drive strategic architecture decisions and bring incubation initiatives to production.
                                                  -

                                                  -

                                                  What You'll Bring:

                                                  +

                                                  What You Bring:

                                                    -
                                                  • Mandatory: Advanced SQL querying for data mining, extraction and preparation.
                                                  • -
                                                  • University Degree in Computer Science, Statistics, Mathematics or Information Systems is preferred.
                                                  • -
                                                  • Minimum 5 years of experience in utilizing advanced data extraction and manipulation tools (MS SQL, Teradata, etc.).
                                                  • -
                                                  • Minimum 5 years of experience in Data mining working with large relational databases.
                                                  • -
                                                  • Technical background with a solid understanding of database design is an asset.
                                                  • -
                                                  • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                                  • -
                                                  • Experience with Cloud technologies (GCP, Azure) is an asset.
                                                  • -
                                                  • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data.
                                                  • -
                                                  • Demonstrated knowledge of the data management lifecycle, including experience with data quality and metadata management.
                                                  • -
                                                  • Experience in conducting business analysis to gather requirements from non-technical stakeholders.
                                                  • -
                                                  • A Team player and self-starter with the ability to take initiative, multi-task and work in a fast-paced environment.
                                                  • +
                                                  • 2+ years of professional experience in research and/or software development.
                                                  • +
                                                  • Expertise in Generative AI and large language models.
                                                  • +
                                                  • Strong background in architecting large-scale cloud offerings, with knowledge of AI, Machine Learning, and Software Engineering principles.
                                                  • +
                                                  • Proficiency in programming languages such as Python and experience with data science frameworks.
                                                  • +
                                                  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
                                                  • +
                                                  • Demonstrated leadership and team-building abilities, with a track record of motivating and mentoring cross-functional teams.
                                                  -

                                                  -

                                                  What You Can Expect:

                                                  -

                                                  We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                  -

                                                  -

                                                  Other perks of joining Loblaw:

                                                  +

                                                  What we offer:

                                                  +

                                                  -Competitive compensation, base salary plus generous commission structures

                                                  +

                                                  -Work with an experienced team of experts from engineers to compliance officers, marketing gurus and development and sales rock stars.

                                                  +

                                                  -State-of-the-art tools to ensure success for the team.

                                                  +

                                                  -Work Remotely

                                                  +

                                                  +

                                                  +



                                                  ",hello@chatgpv.com,,dj@chatgpv.com,https://chatgpv.com,,,2024-10-02T03:05:00.000Z,False,5,0,87,https://talenthub.vectorinstitute.ai/jobs/342407648-chief-technology-officer-at-chatgpv-inc,,expired,2024-09-17T03:05:00.000Z,admin,Startup (1-19),Vector Quick Apply,"Software, Technology (Product Development)",Mid-Senior Level,Bachelors Degree,New Posting, +e6fd1371-4f5c-4f1c-b3b7-17aab14b2cc8,342401132,CN,Future Opportunities with CN!,hybrid,"Toronto, ON, Canada",2024-09-17T02:29:29.823Z,"

                                                  CN is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with CN, and it will be shared with them after the event.

                                                  +

                                                  Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins. .

                                                  +

                                                  About CN

                                                  +

                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                  ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2024-10-02T02:29:00.000Z,False,40,0,151,https://talenthub.vectorinstitute.ai/jobs/342401132-future-opportunities-with-cn-at-cn,,expired,2024-09-17T02:29:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Transportation,Associate,Masters Degree,New Posting, +506ec7bf-b001-414c-b4a4-f962acc0371b,39246444,Clearpath,Autonomy Engineer - Navigation,on_site,"Kitchener, ON, Canada",2020-09-08T13:14:26.596Z,"

                                                  About Clearpath Robotics Inc.

                                                  +

                                                  Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                  +

                                                  About OTTO™ Motors

                                                  +

                                                  OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com/

                                                  +

                                                  About the Job

                                                  +

                                                  Clearpath's OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms for navigation, collaboration, and control - all with an emphasis on robust and reliable best practice programming. We're looking for people excited to develop the core software for fleets of multi-ton robots, find optimal routes through the most complex work environments around the world, and safely balance millimeter tracking accuracy with maximum driving performance.

                                                  +

                                                  The navigation team’s primary responsibility is robotics software development, testing, and support. You will be responsible for identifying opportunities to improve our self-driving capabilities, selecting the best research and/or industry algorithms to employ, and developing high-performance implementations that expand our core autonomy software. As part of the team, your input will be integral for reviewing and supporting the designs, implementations, and tests developed by other autonomy engineers. Finally, as part of OTTO, we work closely with both industry and academia, where you’ll have the opportunity to collaborate with our partners and see your ideas making a measurable difference in the world.

                                                  +

                                                  Your primary responsibilities will be:

                                                    -
                                                  • Competitive compensation and benefits package
                                                  • -
                                                  • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                  • -
                                                  • A flexible work environment which values balance
                                                  • -
                                                  • Colleague Discount Program
                                                  • -
                                                  • Tuition reimbursement Program
                                                  • -
                                                  • Employee Share Ownership plan
                                                  • -
                                                  • Pension Plan
                                                  • +
                                                  • Developing collaboration, navigation, and control software
                                                  • +
                                                  • Testing/reviewing software for reliability/performance
                                                  • +
                                                  • Conducting research projects to expand our capabilities
                                                  • +
                                                  • Supporting deployment, product, and testing teams
                                                  -

                                                  -

                                                  If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                  We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                  -

                                                  -

                                                  -

                                                  How You’ll Succeed:

                                                  -

                                                  At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                  -

                                                  If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                  -

                                                  -

                                                  In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                  -

                                                  -

                                                  -

                                                  Employment Type:

                                                  Full time

                                                  -

                                                  -

                                                  Type of Role:

                                                  Regular

                                                  -

                                                  Type of Contract:

                                                  -

                                                  -

                                                  -

                                                  -

                                                  Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                  -

                                                  -

                                                  -

                                                  -

                                                  Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                  -
                                                  -
                                                  ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000194374,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-18T06:25:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/41713639-senior-data-analyst-data-management-at-loblaw-companies-ltd,,expired,2020-11-11T06:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -7373b530-e024-4d9e-8965-ff51b91b66fa,41948799,CN,"Specialist System Design, Data Scientist Machine Learning and Visual Analytics",full,Anywhere,2020-11-16T18:47:58.022Z,"

                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                  -

                                                  For internal candidates, note that the grade level of the position will depend on the employee's experience.

                                                  -

                                                  Job Summary

                                                  -

                                                  The role of Specialist Data Design works with manager, expert data design and data governance to drive best practices and a practice based approach towards data design and management. The Specialist Data Design is responsible for working on collecting, storing, processing, and analyzing sets of data. The primary focus is on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. They are also responsible for integrating them with the architecture used across the company.

                                                  -

                                                  The Specialist System Design will work with the team during development, testing, and integration stages of the solution.

                                                  -

                                                  The immediate position is to work on the development and evolution of the CN Automated Train Inspection solution.

                                                  -

                                                  Main Responsibilities

                                                  -

                                                  Data Design

                                                  +

                                                  Additional tasks may include:

                                                    -
                                                  • Create and maintain optimal data modeling and pipeline architecture
                                                  • -
                                                  • Assemble large, complex data sets that meet functional / non-functional business requirements
                                                  • -
                                                  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                                  • -
                                                  • Extract, transform, and load data from a wide variety of data sources
                                                  • -
                                                  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
                                                  • -
                                                  • Work with stakeholders including the architecture, product management, infrastructure, data and design teams to assist with data-related technical issues and support their data infrastructure needs
                                                  • -
                                                  • Keep our data separated and secure across the data lake/warehouse to adhere to industry and regulatory requirements
                                                  • -
                                                  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
                                                  • -
                                                  • Work with data and analytics experts to strive for greater functionality in our data systems
                                                  • -
                                                  • Follow standard and best practices to ensure the data design is maintainable, sustainable and properly documented with all the associated IP constructs
                                                  • -
                                                  • Follow standards and best practices to ensure reliability, safety and cybersecurity standards are imbedded in the data design and sub systems
                                                  • -
                                                  • Understand rail architecture in order to develop data models and understanding of all integrations
                                                  • -
                                                  • Work with the development team to ensure data design is fully understood and developed with high quality
                                                  • -
                                                  • Work closely with functional and technical leads to define relationships between business objects (entities) and how these objects will interact with the solution processes
                                                  • -
                                                  • Perform data source discovery through reverse engineering, data readiness assessments and analysis
                                                  • -
                                                  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
                                                  • -
                                                  • Work with quality leads, management, and quality assurance to constantly monitor quality KPI’s and implement data design improvements
                                                  • -
                                                  • Perform root cause analysis to support development process
                                                  • +
                                                  • Collaborating with academic/industry partners
                                                  • +
                                                  • Mentoring and assisting with supervision of interns
                                                  • +
                                                  • Writing research papers for academic publication
                                                  • +
                                                  • Explaining our newest shiny toys to sales & marketing
                                                  -

                                                  Working Conditions

                                                  -

                                                  The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role requires occasional travel in North America.

                                                  -

                                                  Requirement

                                                  -

                                                  Experience

                                                  +

                                                  About You

                                                  +

                                                  You want to work for a company that thinks big and dreams huge. You are driven, here to make a difference, and never satisfied with work left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and thrive on challenging, rewarding problems.

                                                  +

                                                  Required Technical Skills:

                                                    -
                                                  • Minimum 5-10 year overall work experience
                                                  • -
                                                  • Minimum 5 years of analysis, data design and data modeling experience
                                                  • -
                                                  • Minimum 4 years of data quality related experience (with or
                                                  • -
                                                  • 2+ years experience in Python libraries such as: Pandas, NumPy, SciKitLearn, MatPlotLib, Keras
                                                  • -
                                                  • Conceptual understanding of classification, object detection and segmentation
                                                  • -
                                                  • Experience using PowerAI Vision
                                                  • -
                                                  • 2+ years of experience in data modelling and Python libraries for data science, application development or application support in machine learning, visual recognition or forecasting
                                                  • -
                                                  • 2+ years of experience with Data architectures including Spark, Hadoop HDFS, analytical processing, NoSQL (MongoDB, Casandra, Redis, etc…) or relational SQL databases (Oracle, Postgres, MySQL, etc…)
                                                  • +
                                                  • Graduate degree in engineering or a related field, with applicable background
                                                  • +
                                                  • Practical knowledge in two or more areas of: path planning, motion planning, mobile robot control, vehicle modelling, and multi-agent systems
                                                  • +
                                                  • Strong software development skills in Modern C++
                                                  • +
                                                  • Proficiency with Linux
                                                  • +
                                                  • Hands-on experience with autonomous systems
                                                  -

                                                  Education/Certification/Designation

                                                  -
                                                  • Bachelor's degree in degree in a Mathematics, Statistics, Computer Science, Computer Engineering or Software Engineering
                                                  -

                                                  -

                                                  General Skills and Competencies

                                                  +

                                                  Desired Soft Skills:

                                                    -
                                                  • Excellent verbal and written communication abilities: must effectively communicate with technical and non-technical teams
                                                  • -
                                                  • Participate in teams working in an Agile/Scrum or Waterfall process and ensure the stories/tasks are well defined and have all the information and tools to be successful
                                                  • -
                                                  • Work with the Project Manager and project stakeholders to ensure we meet project commitments
                                                  • -
                                                  • Ability to work independently on tasks and deliver with a high-level of quality
                                                  • -
                                                  • Ability to work in teams and be open to comments and feedback
                                                  • -
                                                  • Ability to learn quickly and to adapt to a fast-paced environment
                                                  • -
                                                  • Fast thinker and always seeking continuous improvement in the delivery
                                                  • -
                                                  • Fluency in English, both oral and written. Bilingual proficiency will be considered an asset
                                                  • -
                                                  • Ability to Analyze, Design and document detailed designs
                                                  • -
                                                  • Proficient in documentation of complex concepts such as impact analysis, security models, performance and capacity planning, and strategic technical decision
                                                  • +
                                                  • Ability to efficiently and clearly communicate ideas, including to those who may have a limited theoretical background in the area
                                                  • +
                                                  • Ability to reliably plan and estimate development time requirements
                                                  • +
                                                  • A learning mindset and positive attitude
                                                  • +
                                                  • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
                                                  -

                                                  Technical Skills/Knowledge

                                                  +

                                                  Bonus points for:

                                                    -
                                                  • OpenCV and classical methods in computer vision.
                                                  • -
                                                  • Experience using neural network architectures such as fasterrcnn, ssd, yolo and detectron.
                                                  • -
                                                  • Experience of REST. Application development delivering enterprise-class software products based on developing REST-based API's (json/yaml/OpenAPI) using python
                                                  • +
                                                  • ROS experience
                                                  • +
                                                  • Strong Python / Lua skills
                                                  • +
                                                  • Experience with the control of differential drive, bicycle, and tricycle ground vehicles
                                                  • +
                                                  • Understanding of sensors and their error models, particularly laser rangefinders, GPS systems, and vision systems
                                                  -

                                                  About CN

                                                  -

                                                  As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                  -

                                                  +

                                                  Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                  ",,https://clearpathrobotics.com/robotics-careers/job-page/?p=job%2FobKCbfws,aimasters@vectorinstitute.ai,https://clearpathrobotics.com/robotics-careers/,,,2020-10-02T21:53:00.000Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/39246444-autonomy-engineer-navigation-at-clearpath,,expired,2020-09-08T13:14:00.000Z,admin,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,Re-Posting an Expired Job, +d0f22193-3ad4-4b2e-a37d-b7d1c7844840,39246479,Borealis AI,Infrastructure Engineer ☑️,on_site,"Toronto, ON, Canada",2020-09-08T13:34:28.497Z,"

                                                  What's the opportunity?

                                                  +

                                                  We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                  +

                                                  At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                  +

                                                  Your responsibilities include:

                                                  +
                                                    +
                                                  • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;
                                                  • +
                                                  • Designing, building, and optimizing comprehensive automation systems that operate the business’s web, mobile and data infrastructure platforms;
                                                  • +
                                                  • Deploying and managing cloud services on AWS, Azure, etc.;
                                                  • +
                                                  • Leveraging modern tools to define, build, and manage virtual infrastructure in the cloud (primarily on AWS);
                                                  • +
                                                  • Configuring automated service deployments with tools such as Ansible, Puppet, Chef or similar;
                                                  • +
                                                  • Collaborating with engineers, and machine learning researchers to consolidate ML frameworks and to automate code analysis, build, and integration.
                                                  • +
                                                  +

                                                  You're our ideal candidate if you have:

                                                  +
                                                    +
                                                  • Strong and relevant experience designing and implementing distributed systems;
                                                  • +
                                                  • Hands-on experience building and deploying virtualized environments in major cloud environments, such as AWS and Azure;
                                                  • +
                                                  • Solid understanding of the UNIX operating system;
                                                  • +
                                                  • Proficiency with scripting languages, such as Bash, Python, or JavaScript;
                                                  • +
                                                  • Experience automating infrastructure, testing, and deploying cloud applications with tools such as Ansible, Jenkins, etc.;
                                                  • +
                                                  • Experience with monitoring and alerting solutions, like ELK stack and CloudWatch;
                                                  • +
                                                  • Experience on Jenkins, including setting up Jenkins pipelines to enable CI/CD.
                                                  • +
                                                  +

                                                  It would be great if you also have:

                                                  +
                                                    +
                                                  • Production software development experience;
                                                  • +
                                                  • Development, deployment, or maintenance of machine learning applications;
                                                  • +
                                                  • Implementing monitoring solutions to identify and implement system bottlenecks and production issues;
                                                  • +
                                                  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                    +
                                                  • +
                                                  +

                                                  What's in it for you?

                                                  +
                                                    +
                                                  • Become part of a team that thinks progessively and works collaboratively. We care about seeing each other reach full potential;
                                                  • +
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                  • +
                                                  • Leaders who support your development through coaching and managing opportunities;
                                                  • +
                                                  • Ability to make a difference and lasting impact from a local-to-global scale
                                                  • +
                                                  +

                                                  About Borealis AI

                                                  +

                                                  Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                  -

                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5479?c=cn360,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2020-12-16T18:48:00.452Z,False,0,17,84,https://talenthub.vectorinstitute.ai/jobs/41948799-specialist-system-design-data-scientist-machine-learning-and-visual-analytics-at-cn,,expired,2020-11-16T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -3b81bf6c-123d-4dfb-909a-ac2d02793314,42030683,RBC,"Senior Director, Finance Data Office",on_site,"Toronto, Ontario, Canada",2020-11-18T06:21:19.803Z,"
                                                  -

                                                  What is the opportunity?

                                                  -

                                                  The Senior Director of the Finance Data Management Office (DMO) is responsible for providing leadership, strategic direction, expertise and delivery in information management for the CFO group. You will manage a high level of complexity, partnership and decision making and you will be involved in all key Finance initiatives involving data. You will play a key role in setting the priorities and roadmap for the Finance DMO as part of the Finance & Risk Data strategy and will act as a subject matter expert supporting the Finance Group in adopting data-related standards and practices. A key part of this role will be the enhancement and development of rules and expectations for data lineage, associated data controls, management of reference data etc. in line with the Finance Group’s build out data capabilities. This will need to be delivered in a manner consistent with the Chief Data Office policies and standards, working closely with data sponsors and data stewards.

                                                  -


                                                  What will you do?

                                                  -
                                                    -
                                                  • Lead the data and information governance framework for CFO group including data governance policies and practices, socialization and advocacy in enhancing policies and tools ensuring alignment and compliance with the overall enterprise data governance CDO objectives and practices
                                                  • -
                                                  • Lead information quality, information protection and information life cycle management to ensure data quality and controls for accuracy, completeness and timeliness
                                                  • -
                                                  • Representing Finance stakeholders, act as Data Owner for critical data elements in finance systems, including data repositories, defining logical structure and rules governing data quality, reconciliations, and controls
                                                  • -
                                                  • Develop and direct finance systems strategy and roadmap as a work stream under the Finance & Risk Data Strategy
                                                  • -
                                                  • Act as Finance focal for Head of Finance & Risk Data Strategy work – engaging Controllers as required including establishing functional and regional data policies and standards aligned to enterprise standards, where required
                                                  • -
                                                  • Responsible to advise and ensure strategic alignment on data related Finance projects
                                                  • -
                                                  • Lead and build a resilient and scalable team of management staff of strong business technical professionals, and statisticians, establishing cross training and coverage
                                                  • -
                                                  • Allocate resources to balance needs of product lines with professional development needs of advanced analytics, predictive modeling and data management talent
                                                  • -
                                                  -


                                                  What will you need to succeed?

                                                  -

                                                  Must-have

                                                  -
                                                    -
                                                  • Minimum 10-15 years’ experience in financial services sector with 10 years’ experience in leadership
                                                  • -
                                                  • Strong data knowledge and expertise, with understanding of trends and industry strategy for data management
                                                  • -
                                                  • Strong Data Governance experience, including data stewardship and data governance framework implementation
                                                  • -
                                                  • Understanding of databases and reporting methodologies
                                                  • -
                                                  • Enterprise Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
                                                  • -
                                                  • Change leadership, Global perspective and forward thinking with proven business acumen and credibility
                                                  • -
                                                  • Extensive Large Regulatory Program Delivery experience, preferably cross-industry
                                                  • -
                                                  • Strong understanding of the data lifecycle, including data governance
                                                  • -
                                                  • Strong verbal & written communication skills and proven interpersonal skills
                                                  • -
                                                  -

                                                  -

                                                  What’s in it for you?

                                                  -

                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                    -
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                  • -
                                                  • Leaders who support your development through coaching and managing opportunities
                                                  • -
                                                  • Ability to make a difference and lasting impact
                                                  • -
                                                  • Work in an agile, collaborative, progressive, and high-performing team
                                                  • -
                                                  • The opportunity to interface with senior level executives from many different parts of the organization
                                                  • -
                                                  -

                                                  -

                                                  -

                                                  Join our Talent Community
                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                  JOB SUMMARY
                                                  City: Toronto
                                                  Address: 155 Wellington St W
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Office
                                                  Employment Type: Permanent
                                                  Career Level: Experienced Hire/Professional
                                                  Pay Type: Salary + Variable Bonus
                                                  Required Travel (%): 0-25
                                                  Exempt/Non-Exempt: N/A
                                                  People Manager: Yes
                                                  Application Deadline: 11/30/2020
                                                  Platform: CFO Group

                                                  Req ID: 292162
                                                  Ad Code(s):

                                                  -

                                                  -

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/292162/Senior-Director-Finance-Data-Office,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.912Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/42030683-senior-director-finance-data-office-at-rbc,,expired,2020-11-18T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -9a4290ec-9c36-4cc1-b1c2-6fcd8e9b0110,42030728,RBC,Director - AI Engineering,on_site,"Toronto, Ontario, Canada",2020-11-18T06:21:52.090Z,"
                                                  -

                                                  What is the opportunity?

                                                  -

                                                  -

                                                  As a leading technology infrastructure organization, RBC Tech Infrastructure is seeking a Hands-on, Director, AI Engineering, which will require the person to drive the enhancement for AIOps (Artificial Intelligence for Operations), cloud-native data solution, and API enabled enterprise applications. You will work with technical and business stakeholders to make data accessible, drive automation, and generate insights through advanced machine learning and AI. This role will start as an individual contributor with the potential of driving a team and will report to Senior Director, AI.

                                                  -

                                                  -

                                                  What will you do?

                                                  -

                                                  -
                                                    -
                                                  • Mentoring a team of Deep analytics and automation Engineers to help deliver on our five-year strategic goals
                                                  • -
                                                  • Act as an advisory figure for our division, present strategic analysis and help to achieve strategic priorities
                                                  • -
                                                  • Partner with key stakeholders, develop relationships with working groups such as application and delivery teams, various infrastructure pillars, and business owners
                                                  • -
                                                  • Work with big data, cloud-based environments, and Agile methodologies
                                                  • -
                                                  • Collaborate, influence and work cross-functionally with teams in IT, Operations, Application Delivery, and Business Owners
                                                  • -
                                                  • Experience with incident management, CI/CD, and ITIL
                                                  • -
                                                  -

                                                  -

                                                  What do you need to succeed?

                                                  -

                                                  -

                                                  Must have:

                                                  -
                                                    -
                                                  • Bachelor or Master’s degree, or Ph.D. in Computer Science, Mathematics, or similar Quantitative Discipline, or equivalent experience
                                                  • -
                                                  • Extensive experience with Model Validation or Development
                                                  • -
                                                  • Advanced understanding of languages and tools such as R, Python, SAS, SQL, C++ Matlab, Elastic and Splunk
                                                  • -
                                                  • Experience with Building and Deploying Machine Learning Algorithms. Proven experience of delivering on large scale initiatives.
                                                  • -
                                                  • 10+ years of experience in an analytical or strategic role with experience managing an analytical team.
                                                  • -
                                                  • Experience working with one or many cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW. Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                                  • -
                                                  -

                                                  -

                                                  What’s in it for you?

                                                  -

                                                  -

                                                  We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                    -
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                  • -
                                                  • Leaders who support your development through coaching and managing opportunities
                                                  • -
                                                  • Ability to make a difference and lasting impact
                                                  • -
                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                  • -
                                                  • A world-class training program in financial services
                                                  • -
                                                  • Flexible work/life balance options
                                                  • -
                                                  • Opportunities to take on progressively greater accountabilities
                                                  • -
                                                  • Opportunities to building close relationships with clients
                                                  • -
                                                  • Access to a variety of job opportunities across business and geographies
                                                  • -
                                                  -

                                                  -

                                                  Learn more about RBC Tech Jobs

                                                  -

                                                  -

                                                  About RBC
                                                  Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                  -

                                                  -

                                                  Join our Talent Community
                                                  Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                  -

                                                  -

                                                  Inclusion and Equal Opportunity Employment
                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                  -

                                                  -

                                                  JOB SUMMARY
                                                  City: Toronto
                                                  Address: 330 Front Street West
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Office
                                                  Employment Type: Permanent
                                                  Career Level: Experienced Hire/Professional
                                                  Pay Type: Salary + Variable Bonus
                                                  Required Travel(%): 0-25

                                                  Exempt/Non-Exempt: N/A
                                                  People Manager: No
                                                  Job Posting End Date: 11/30/2020
                                                  Req ID: 289296

                                                  -

                                                  Posting Notes:

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/42030728-director-ai-engineering-at-rbc,,expired,2020-11-18T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,Re-Posting an Expired Job, -9a3ac4cc-36ff-4ef7-8bec-526cbd5df053,42112004,Borealis AI,Business Development Lead ☑️,on_site,Toronto,2020-11-20T06:20:15.259Z,"

                                                  What's the opportunity?

                                                  We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for one of the bank’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems, and you’ll collaborate with our product team to align business and technical stakeholders.

                                                  -

                                                  Our ideal candidate has an extensive working knowledge of machine learning, strong executive communication skills, and experience working in a financial institution or a quantitative finance background. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                                  -

                                                  Your responsibilities include:

                                                  • Becoming the Borealis AI expert on one or more RBC business lines;
                                                  • Building relationships with RBC executives, subject matter experts, and technical teams;
                                                  • Representing the business vision in the group’s product engagements and educating researchers on business needs;
                                                  • Understanding Borealis AI research areas and creatively mapping technologies onto business problems;
                                                  • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success; and
                                                  • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
                                                  • -
                                                  -

                                                  You’re our ideal candidate if you:

                                                  • Have an extensive working knowledge of data analytics and machine learning;
                                                  • Have experience aligning new technologies to existing ones in large enterprises’ processes;
                                                  • Have experience working in financial institutions;
                                                  • Have experience developing relationships with senior and junior stakeholders at large enterprises;
                                                  • Have experience developing business cases and other communications on technology projects;
                                                  • Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
                                                  • Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
                                                  • -
                                                  -

                                                  What's in it for you?

                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                  • Leaders who support your development through coaching and managing opportunities;
                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                  • -
                                                  -
                                                  -
                                                  -
                                                  -
                                                  -

                                                  About Borealis AI

                                                  Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                  -

                                                  Inclusion and Equal Opportunity Employment

                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                  -
                                                  -
                                                  ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2020-11-25T06:26:59.829Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/42112004-business-development-lead-at-borealis-ai,,expired,2020-11-20T06:20:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Team Lead,Bachelors Degree,Re-Posting an Expired Job, -a4651e7b-64c5-424c-b58a-714880545c18,42202220,RBC,Director Machine Learning,on_site,"Toronto, Ontario, Canada",2020-11-21T06:19:43.218Z,"
                                                  -

                                                  What is the opportunity?

                                                  -

                                                  -

                                                  The role is to support the success of Next Best Offer strategy which is about personalization of the offer, by designing and implementing data science solutions using RBC’s home-grown platform and vendor solutions. By leveraging data science capabilities, we seek to understand and identify opportunities and trends, anticipate future behaviours, perform pattern matching, discover the golden path clients take that leads to a future decision and predict the outcomes of future events.

                                                  -

                                                  -

                                                  What will you do?

                                                  -

                                                  -

                                                  The role is to lead and direct data scientists on the team to:

                                                  -
                                                    -
                                                  • Structure the business problem so that the data scientists can analyze the data using statistical, machine learning, and analytics techniques to solve complex problems, discover insights and identify business opportunities in order to recommend a suitable solution to a given business problem
                                                  • -
                                                  • Lead and engage partners to set up a robust Machine Learning infrastructure/data pipelines that accurately and consistently integrate models into the overall decisioning engine
                                                  • -
                                                  • Lead implementation and enforcement of QA process and automation of the models
                                                  • -
                                                  • Responsible for on-going management and performance of the models, and communicate the results
                                                  • -
                                                  • Effectively communicate and document the modeling approach, methodology, results and findings to all levels of management.
                                                  • -
                                                  • Lead a team of data scientists to actively work on solving business problems that deliver value
                                                  • -
                                                  • Engage and build partnership with other members on the team
                                                  • -
                                                  -

                                                  -

                                                  What do you need to succeed?

                                                  -

                                                  -

                                                  Must-have:

                                                  -
                                                    -
                                                  • 6+ years of experience framing the business problem into machine learning problem
                                                  • -
                                                  • Strong experience of design, coding, development, and implementation experience. Expert working knowledge of Python, R, Java and SQL
                                                  • -
                                                  • 5+ years of experience with big data technologies – Hadoop, noSQL/SQL databases, parallel processing techniques and Apache Spark. Masters in Mathematics, Statistics or Computer Science
                                                  • -
                                                  • Expert technical documentation skills. Strong process oriented mind set and promote holistic solutions that benefits the team
                                                  • -
                                                  • Strong interpersonal and communication skills (both written and verbal); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to executives.
                                                  • -
                                                  • Focus on delivery and deadlines. Ability to work collaborative with cross-function teams and business units. Strong people leader to create a collaborative environment and maintain a high team engagement level
                                                  • -
                                                  -

                                                  -

                                                  Nice-to-have

                                                  -
                                                    -
                                                  • Working knowledge of public cloud solution development is an asset
                                                  • -
                                                  • 3+ years of project management skills
                                                  • -
                                                  • Knowledge of SAS is an asset
                                                  • -
                                                  -

                                                  -

                                                  What’s in it for you?

                                                  -

                                                  -

                                                  We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                  -
                                                    -
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                  • -
                                                  • Leaders who support your development through coaching and managing opportunities
                                                  • -
                                                  • Ability to make a difference and lasting impact
                                                  • -
                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                  • -
                                                  • A world-class training program in financial services
                                                  • -
                                                  • Flexible work/life balance options
                                                  • -
                                                  • Opportunities to take on progressively greater accountabilities
                                                  • -
                                                  • Opportunities to building close relationships with clients
                                                  • -
                                                  • Access to a variety of job opportunities across business and geographies
                                                  • -
                                                  -

                                                  -

                                                  -

                                                  Join our Talent Community
                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                  JOB SUMMARY
                                                  City: Toronto
                                                  Address: 88 Queens Quay West
                                                  Work Hours/Week: 37.5
                                                  Work Environment: Office
                                                  Employment Type: Permanent
                                                  Career Level: Experienced Hire/Professional
                                                  Pay Type: Salary + Variable Bonus
                                                  Required Travel (%): 0
                                                  Exempt/Non-Exempt: N/A
                                                  People Manager: Yes
                                                  Application Deadline: 12/04/2020
                                                  Platform: Personal & Commercial Banking

                                                  Req ID: 293139
                                                  Ad Code(s):

                                                  -

                                                  -

                                                  -
                                                  ",,https://jobs.rbc.com/ca/en/job/293139/Director-Machine-Learning,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.809Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/42202220-director-machine-learning-at-rbc,,expired,2020-11-21T06:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -39a667cb-bec6-428f-a304-5a52b0364ee9,42286487,BMO Financial Group,Marketing Insights Analyst,on_site,"Toronto, ON, Canada",2020-11-23T14:54:07.564Z,"

                                                  Address:

                                                  -

                                                  55 Bloor Street West

                                                  +

                                                  Inclusion and Equal Opportunity Employment

                                                  +

                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                  ",mi.research@rbc.com,,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2020-10-11T12:51:00.000Z,False,2,0,29,https://talenthub.vectorinstitute.ai/jobs/39246479-infrastructure-engineer-at-borealis-ai,,expired,2020-09-08T13:34:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, +42d7773c-9f2c-41ab-9d5d-e99deab794fc,39246920,TD Bank Group,Cloud Data Security Specialist,on_site,"Toronto, ON, Canada",2020-09-08T17:38:22.584Z,"

                                                  Company Overview

                                                  +

                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                  +

                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                  +

                                                  Department Overview

                                                  +

                                                  Headquartered in Toronto, Canada, with more than 85,000 employees in offices around the world, The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth-largest bank in North America by branches offering a full range of financial products and services to approximately 24 million customers worldwide through three key business lines:
                                                  • Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance (Canada), TD Wealth (Canada), TD Direct Investing and TD Insurance

                                                  +

                                                  • U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in TD Ameritrade

                                                  +

                                                  • Wholesale Banking including TD Securities

                                                  +

                                                  TD also ranks among the world’s leading online financial services firms, with approximately 10 million active online and mobile customers and had CDN$1.1 trillion in assets on July 31, 2015. Our mission is to give our clients the best banking experience possible, every day. To do that, we depend on our team of talented, ambitious people who share our passion for excellence.
                                                  Join the innovators of TD Technology.

                                                  +

                                                  We know that tech is constantly evolving, and we’re committed to growing with it, right across the board. Our Technology Solutions team works closely with each department at TD to create the platforms, applications, and ideas that shape the future of our business – and yours. We’re reimagining the way people think about their banking, every single day. This is your opportunity to impact the future of banking technology.

                                                  -

                                                  Job Family Group:

                                                  -

                                                  Data Analytics & Reporting

                                                  +

                                                  Job Description

                                                  +

                                                  II. The opportunity.

                                                  +

                                                  Our new Cloud Security Data Engineering practice focuses on providing architect design for security cloud data pipelines. This involves a series of data flow stages that aim to improve and maintain development and production while emphasizing the importance of security for our organization and customers.
                                                  As our Cloud Security Data Engineer, you will be a subject matter expert in the following areas:
                                                  • Architect, create and maintain data pipelines
                                                  • Secure data travelling through pipelines using modern, automated transformation and obfuscation techniques
                                                  • Define and govern metadata elements for large data sets which will be leveraged by data-protection tooling to determine the appropriate protection techniques
                                                  • Refine and optimize data science, machine learning models and algorithms to improve production efficiencies

                                                  +

                                                  What does it entail?

                                                  +

                                                  More specifically, the Cloud Security Data Engineer will:

                                                  +

                                                  • Work on modern data preparation, integration and AI-enabled metadata management tools and techniques
                                                  • Architect and govern data consumption patterns for consumers to ensure both the security and performance of business applications
                                                  • Govern and monitor schema changes for datasets.
                                                  • Evaluate new and emerging data ingestion technologies such as streaming and microservice orchestration
                                                  • Collaborate with our data science teams and business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements
                                                  • Monitor new data best practices while ensuring it’s shared with teams appropriately and implemented where needed
                                                  • Understand and comply with TD’s governance and compliance initiative to ensure data users and consumers use the data provisioned to them responsibly

                                                  +

                                                  Requirements

                                                  +

                                                  • At least 6+ years of work experience in data management disciplines including data integration, modelling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
                                                  • At least 3+ years of experience working in cross-functional teams and collaborating with business stakeholders in Microsoft Azure in support of a departmental and/or multi-departmental data management and analytics initiative
                                                  • Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala and others
                                                  • Working ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
                                                  • Solid experience working with popular database programming languages including SQL, PL/SQL and others for relational databases and certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra and others for nonrelational databases
                                                  • Proven work experience tackling large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies such as ETL/ELT, data replication/CDC, message-oriented data movement, API design and access and upcoming data ingestion and integration technologies such as stream data integration, CEP and data virtualization
                                                  • Proficient working with SQL on Hadoop tools and technologies including HIVE, Impala, Presto and others from an open-source perspective and Hortonworks Data Flow (HDF), Dremio, Informatica, Talend and others from a commercial vendor perspective
                                                  • Skilled working with both open-source and commercial message queuing technologies such as Kafka, Solace, Oracle Service Bus, JMS, Azure Service Bus, Amazon Simple queuing Service and others stream data integration technologies such as Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis and others; and stream analytics technologies such as Apache Kafka KSQL Apache Spark Streaming Apache Samza and others
                                                  • Demonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools such as Trifacta, Paxata, Unifi and others to reduce or even automate parts of the tedious data preparation tasks
                                                  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid; multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service and others
                                                  • Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization
                                                  • Ability to work with data science teams in refining and optimizing data science and machine learning models and algorithms

                                                  +

                                                  Education & Training:

                                                  +

                                                  • A bachelor’s or master’s degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required
                                                  • An advanced degree in computer science (MS), statistics, applied mathematics (PhD), information science (MIS), data management, information systems, information science (postgraduation diploma or related) or a related quantitative field or equivalent work experience is preferred.
                                                  • The ideal candidate will have a combination of IT skills, data governance skills, analytics skills and Microsoft Azure knowledge with a technical or computer science degree

                                                  -

                                                  We are looking for a talented individual to join our team in the position of Marketing Insights Analyst. The primary responsibility is to leverage customer data to deliver recommendations that drive optimal customer journeys and experiences.

                                                  -

                                                  The role will sit within the Advanced Analytics & Data Science Team in Marketing Analytics team and support Marketing across BMO FG with proactive, actionable insights for both Retail and Wealth customers. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and will be involved in all stages of projects from intake, prioritization, tracking, and presentations to stakeholders and senior executives.

                                                  -

                                                  The Marketing Analytics Insights Analyst will work with other analytics group within BMO to develop the analytics community, provide thought leadership and set best practices in analytics across BMO.

                                                  +

                                                  Additional Information

                                                  +

                                                  Other key attributes:

                                                  +

                                                  • Strong experience supporting and working with cross-functional teams in a dynamic business environment
                                                  • Required to be highly creative and collaborative. The ideal candidate will be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements and design and develop data deliverables accordingly. The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production
                                                  • Ability to gain the respect of stakeholders at all levels and roles within the company
                                                  • Confident, energetic self-starter, with strong interpersonal skills
                                                  • Good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity

                                                  +

                                                  Hours

                                                  +

                                                  37.5

                                                  -

                                                  Key Accountabilities

                                                  -

                                                  Analytic Capabilities & Critical Thinking

                                                  -
                                                    -
                                                  • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                  • -
                                                  • Supports data collection, integration, and retention requirements for both data and customers
                                                  • -
                                                  • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                    -
                                                  • -
                                                  • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                  • -
                                                  • Works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable marketing outcomes and create a distinctive customer experience
                                                  • -
                                                  • Leverage customer and digital data to develop analytical self-service tools and strategic insights to help our marketing partners understand their customer behaviours to provide personalized offers
                                                  • -
                                                  • Applies innovative and best practices to advanced analytics services to ensure high quality standards.

                                                    Leadership and Relationship Management

                                                    -
                                                  • -
                                                  • Determines the best approach for eliciting, analyzing, validating, and prioritizing requests to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
                                                  • -
                                                  • Ensure effective project tracking and status reporting using Workfront project management software
                                                  • -
                                                  • Ensures effective communication with all necessary stakeholders, presents results to executives
                                                  • -
                                                  • The individual will have an end-to-end project accountability beginning with understanding the business KPIs. They will leverage their expertise to go beyond the request to address the business problem, and be able to explain technical results to a non technical audience and related them to business KPIs
                                                  • -
                                                  • Provide thought leadership on how analytics can help resolve business opportunities
                                                  • -
                                                  -

                                                  Cross Functional Relationships

                                                  -

                                                  This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders: Managers and Senior Managers within Marketing and in lines of Business, Technology and Operations

                                                  -

                                                  Knowledge & Skills

                                                  -

                                                  Knowledge

                                                  -
                                                    -
                                                  • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                  • -
                                                  • 1+ year of applicable experience.
                                                  • -
                                                  • Strong foundation in data and analysis.
                                                  • -
                                                  • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                  • -
                                                  • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
                                                  • -
                                                  -

                                                  Skills

                                                  -
                                                    -
                                                  • Experience with customer database and programming queries in SAS or SQL (Python, R, Hadoop experience an asset)
                                                  • -
                                                  • Experience in data visualization preferred, including visualization software such as Power BI, Spotfire or Tableau.
                                                  • -
                                                  • Influential skills sufficient to resolve situations where others need to be convinced of the value of preferred options or alternatives
                                                  • -
                                                  • Well-developed presentation / analytical skills sufficient to:
                                                  • -
                                                  -
                                                    -
                                                  • Provide detailed explanation and interpretation of factual and conceptual information and ideas
                                                  • -
                                                  • Creatively and precisely articulate ideas that involve interpretation, analysis and assessment
                                                      -
                                                    • Ability to interact with all levels of end users and technical resources.
                                                    • -
                                                    • Project planning and management skills sufficient to establish, prioritize and coordinate objectives for a variety of non-routine assignments or projects
                                                    • -
                                                    • Ability to plan, organize and work on multiple tasks simultaneously, and in a deadline-driven environment
                                                    • -
                                                    • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                    • -
                                                    -
                                                  • -
                                                  +

                                                  Inclusiveness

                                                  +

                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                  ",,https://jobs.td.com/en-CA/jobs/11385398/cloud-data-security-specialist-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-09-21T14:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/39246920-cloud-data-security-specialist-at-td-bank-group,,expired,2020-09-08T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +5d89409e-62ac-4b2b-96b2-1f0ca2effd34,39311482,Loblaw Companies Ltd.,Data Science Analyst,on_site,"Toronto, ON, Canada",2020-09-09T15:19:54.133Z,"

                                                  +
                                                    +
                                                    • +Location:

                                                      1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                      +

                                                      The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                      -

                                                      Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                      -
                                                        -
                                                      • Builds effective relationships with internal/external stakeholders.
                                                      • -
                                                      • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                      • -
                                                      • Designs, develops, and implements innovative analytical solutions.
                                                      • -
                                                      • Designs and produces regular and ad-hoc reports, and dashboards.
                                                      • -
                                                      • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                      • -
                                                      • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                      • -
                                                      • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                      • -
                                                      • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                      • -
                                                      • Designs, develops, and implements innovative analytical solutions.
                                                      • -
                                                      • Designs and produces regular and ad-hoc reports, and dashboards.
                                                      • -
                                                      • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                      • -
                                                      • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                      • -
                                                      • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                      • -
                                                      • Analyzes data and information to provide subject-matter insights and recommendations.
                                                      • -
                                                      • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                      • -
                                                      • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                      • -
                                                      • Builds effective relationships with internal/external stakeholders.
                                                      • -
                                                      • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                      • -
                                                      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                      • -
                                                      • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                      • -
                                                      • Works independently on a range of complex tasks, which may include unique situations.
                                                      • -
                                                      • Broader work or accountabilities may be assigned as needed.

                                                        Qualifications:

                                                        -
                                                      • -
                                                      • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                      • -
                                                      • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                      • -
                                                      • Technical proficiency gained through education and/or business experience.
                                                      • -
                                                      • Verbal & written communication skills - In-depth.
                                                      • -
                                                      • Collaboration & team skills - In-depth.
                                                      • -
                                                      • Analytical and problem solving skills - In-depth.
                                                      • -
                                                      • Influence skills - In-depth.
                                                      • -
                                                      • Data driven decision making - In-depth.
                                                      • -

                                                      -

                                                      We’re here to help

                                                      +

                                                      Why is this role important?

                                                      +

                                                      Why is this role important?

                                                      -

                                                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                      +

                                                      Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                      +

                                                      If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                      -

                                                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                      +

                                                      The Data, Insights & Analytics team at Loblaw is hiring an Data Science Analyst. Reporting to the Senior Data Scientist, Data, Insights & Analytics, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                      -

                                                      To find out more visit us at https://bmocareers.com.

                                                      +

                                                      What You'll Do:

                                                      +
                                                        +
                                                      • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                      • +
                                                      • Develop capabilities to identify areas of opportunity and improve processes and efficiency on reporting and operations.
                                                      • +
                                                      • Support initiatives to make business partners more self-sufficient.
                                                      • +
                                                      • Work with IT in terms of identifying opportunities to make key information more easily and reliably accessible.
                                                      • +
                                                      • Act as gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                                      • +
                                                      • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to initiatives about media activation, in-store activities, CRM initiatives, marketing campaigns, etc.
                                                      • +
                                                      • Extract, review and prepare sales and customer behavior data for analysis, reporting using SQL
                                                      • +
                                                      • Analyze data to help determine insights to solve business problems or identify new opportunities
                                                      • +
                                                      • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross functional outcomes
                                                      • +
                                                      • Actively identify and execute initiatives to improve process and data infrastructure
                                                      • +
                                                      • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                      • +
                                                      • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                      • +
                                                      • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                                      • +
                                                      • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                                      • +

                                                      -

                                                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Marketing-Insights-Analyst_R200010824,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:14:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/42286487-marketing-insights-analyst-at-bmo-financial-group,,expired,2020-11-23T14:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -6fead1d7-3043-4a16-a3dc-b39a0a9142f4,42288678,CN,Manager Delivery - Data Design,on_site,"Toronto, ON, Canada",2020-11-23T18:25:20.286Z,"

                                                      Job Summary

                                                      -

                                                      The Manager Data Design is responsible for managing and leading a team in charge of profiling, analyzing, integrating, modelling and publishing data and information required of supporting fact-based decision-making and continuous process improvement in a railway context. The role provides direction to CN’s Data Analysts and Data Designers to deliver new solutions as well as maintain, support and upgrade existing railroad design records covering CN business domains such as Engineering, Transportation, Safety, Operations, Marketing, Human Resources, Finance, Intermodal, Mechanicals and others. The Manager works with Data modelling, data back-end system design, technical integration and interface control with other CN systems. The role manages requirements, vendors, internal resources, quality control and risk management.

                                                      +

                                                      What You'll Bring:

                                                      +
                                                        +
                                                      • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business or other relevant field
                                                      • +
                                                      • Programming skills with SQL, Python, PySpark.
                                                      • +
                                                      • In-depth knowledge of predictive modelling, machine learning modelling.
                                                      • +
                                                      • 3 years experience in utilizing advanced SQL data extraction and manipulation tools (MS SQL, Teradata).
                                                      • +
                                                      • Retail analytics experience with a marketing focus preferred.
                                                      • +
                                                      • Marketing experience with a focus on using customer data, such as Direct Marketing, Database Marketing, Loyalty Marketing preferred.
                                                      • +
                                                      • Experience with google cloud platform is an asset.
                                                      • +
                                                      • In-depth knowledge of pattern recognition models is an asset
                                                      • +
                                                      • Experience with NLP is an asset.
                                                      • +
                                                      • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                                      • +
                                                      • Data mining experience working with a large relational customer database
                                                      • +
                                                      • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                      • +
                                                      • Ability to take initiative, multi-task and work in a fast-paced environment
                                                      • +
                                                      • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                      • +
                                                      • Strong detail orientation is essential in this role
                                                      • +
                                                      • A team player and self-starter
                                                      • +
                                                      • Advanced MS Office skills (Excel, Word, Access
                                                      • +

                                                      -

                                                      Main Responsibilities

                                                      +

                                                      What You Can Expect

                                                      +

                                                      We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                      +

                                                      Other perks of joining Loblaw:

                                                      +
                                                        +
                                                      • Competitive compensation and benefits package
                                                      • +
                                                      • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!) with flexibility to work elsewhere
                                                      • +
                                                      • A flexible work environment which values balance
                                                      • +
                                                      • Colleague Discount Program
                                                      • +
                                                      • Tuition reimbursement Program
                                                      • +
                                                      • Employee Share Ownership plan
                                                      • +
                                                      • Pension Plan
                                                      • +

                                                      -

                                                      Work - Assessment & Planning (10%)

                                                      -

                                                      · Oversee the assessment and estimation of business requests requiring data analysis, profiling, modeling, transformation or integration work. Oversight includes analyzing requirements, formulating approach, estimating effort and aligning resources.

                                                      +

                                                      How You’ll Succeed:

                                                      +

                                                      At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                      +

                                                      If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                      -

                                                      Practice Evolution & Optimization

                                                      +

                                                      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                      -

                                                      · Work with the team, other data & analytics teams, business users and architecture to provide overall team direction aligned with the I&T strategy and ensure adoption of best practices in data integration, analysis, and data modeling.

                                                      -

                                                      · Assist in the ongoing development of technical best practices for data movement, data quality, data cleansing and other data designing -related activities.

                                                      -

                                                      · Consolidate and optimize available data infrastructure

                                                      +

                                                      Employment Type:

                                                      Full time

                                                      -

                                                      Delivery

                                                      +

                                                      Type of Role:

                                                      Regular

                                                      -

                                                      · Ensure tasks in data profiling, analysis, modeling, transformation and integration have a clear definition-of-done, are performed efficiently and delivered fit-for-purpose. Ensure work progress is visible and metrics in place to track productivity, timeliness and re-work. Participate with service offering managers and general application support to ensure SLAs are met.

                                                      -

                                                      Leadership, Coaching & Mentoring

                                                      -

                                                      · Recruit, onboard, coach and develop a team of Data Analysts, Data Modelers and Data Designers professionals both employees & externals. Prepare and monitor development & career plans. Ensure strong internal and external team collaboration. Promote a spirit of transparency, open communication and commitment to continuous process improvement

                                                      +

                                                      Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                      -

                                                      Working Conditions

                                                      -

                                                      The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the person must be able to meet tight deadlines, handle pressure and manage stress.

                                                      -

                                                      Requirements

                                                      +

                                                      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                      +
                                                    ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science-Analyst_R2000184889,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-10-02T21:53:00.000Z,False,0,35,148,https://talenthub.vectorinstitute.ai/jobs/39311482-data-science-analyst-at-loblaw-companies-ltd,,expired,2020-09-09T15:19:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +6b101b14-e32a-4044-91ff-10f7d2044057,39312115,Manulife,Advanced Analytics Development Program - Toronto - 2021 Start,on_site,"Toronto, ON, Canada",2020-09-09T20:43:59.542Z,"
                                                    • +Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                      -

                                                      Experience

                                                      -

                                                      Management

                                                      -

                                                      · Minimum 10 years of overall experience

                                                      -

                                                      · Minimum 5 years of experience demonstrating leadership qualities or overseeing deliverables

                                                      -

                                                      · Minimum 2 years of experience managing database back-end design and development

                                                      -

                                                      · Experience with asset management system design and maintenance strategy

                                                      -

                                                      · Railroad or Engineering & Transportation business experience*

                                                      -

                                                      · Cloud and Big Data experience

                                                      -

                                                      *Any experience for these above would be considered as an asset

                                                      +

                                                      Job Description

                                                      +

                                                      Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                      -

                                                      Education/Certification/Designation

                                                      -

                                                      · Bachelor’s Degree in Computer Science, Information Systems, or related field or equivalent work experience

                                                      -

                                                      · Excellent leadership, organizational, interpersonal and relationship management skills

                                                      -

                                                      · Strong analytical and problem-solving skills

                                                      -

                                                      · Strong written and spoken communication skills. Ability to convey complex business concepts in technical language and vice versa

                                                      -

                                                      *Any designation for these above would be considered as an asset

                                                      +

                                                      The Advanced Analytics Development Program (AADP) provides an opportunity to be a member of a cross-functional team that includes experts in predictive modelling and machine learning. The program is a 24 month program with 2-3 placements/rotations in data scientist roles with our Advanced Analytics teams. Each rotation can range from 8 to 12 months in duration and will provide graduates with exposure to multi-dimensional, complex analytic initiatives across all lines of business: insurance, retirement, wealth management and investments.

                                                      +

                                                      The placement and its duration depend upon a number of factors including the participant's development needs and the needs of the business. The program allows you the opportunity to make an impact in a global organization by working on diverse teams and projects and gaining exposure to international business. First placements are located in one of Manulife's Divisional headquarters; Toronto, Waterloo, Boston or Hong Kong. Subsequent placements could be at any one of our operations in Canada, US or Asia based on development needs of the participant and placement opportunities available.

                                                      +

                                                      How does Manulife differentiate as the employer of choice to build a career in Advanced Analytics?

                                                      +

                                                      1. Value At Manulife, Advanced Analytics is a change agent.

                                                      +

                                                      We are a business partner that helps with transforming the company using analytics to drive insight, action and value in everything Manulife does. The teams work closely with business leaders, build business cases and quantify the business value of the opportunity to the organization.

                                                      +

                                                      The successful candidate will work with the team and the business unit to:

                                                      +
                                                        +
                                                      • Convert the business opportunity into an analytical problem
                                                      • +
                                                      • Measure the size of the opportunity
                                                      • +
                                                      • Determine key performance measures (KPIs) to track success.
                                                      • +
                                                      • Use a variety of statistical and machine learning techniques to solve the problem.
                                                      • +
                                                      • Demonstrate shared value through the conversion of algorithms into a business process.
                                                      • +

                                                      -

                                                      Competencies

                                                      -

                                                      · Sets goals that are consistent with CN's plan and takes responsibility for achieving results

                                                      -

                                                      · Shares timely information within and across functions to get things done effectively

                                                      -

                                                      · Demonstrates analytical thinking and a broad vision when making decisions

                                                      -

                                                      · Addresses risks in a timely manner to eliminate them

                                                      -

                                                      · Innovates through problem solving

                                                      -

                                                      · Possess organizational, time-management and prioritizing competencies

                                                      -

                                                      · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                      -

                                                      · Demonstrates good judgment in decision making and makes difficult and timely decisions

                                                      -

                                                      · Is inspirational and innovative

                                                      -

                                                      · Prioritize individual development and continuous learning

                                                      -

                                                      · Deals with pressure and change by staying calm to quickly adapt to changes

                                                      -

                                                      · Builds a relationship with clients and provides valuable services

                                                      -

                                                      Technical Skills/Knowledge

                                                      -

                                                      · Strong modelling knowledge, relational and dimensional

                                                      -

                                                      · Strong knowledge of SQL

                                                      -

                                                      · Strong knowledge of Jira, Azure DevOps or other workload management tools

                                                      -

                                                      · Good knowledge of Hadoop

                                                      -

                                                      · Good knowledge of data profiling tools

                                                      -

                                                      · Good knowledge of ERwin or other data modeling tool

                                                      -

                                                      · Experience with Tableau, Power BI and SAP Business Objects*

                                                      -

                                                      · Experience with Netezza, Snowflake and Informatica*

                                                      +

                                                      2. Challenging opportunities exist for the data scientist and data engineer.

                                                      +

                                                      In these roles the successful candidate will gain exposure utilizing software such as R, Python or SAS.

                                                      +

                                                      The data scientist is expected to either have or develop expertise in techniques such as:

                                                      +
                                                        +
                                                      • Classification and Regressions (Linear, Logit, Multinomial Logit, Poisson, Proportional Odds, Lasso, Ridge),
                                                      • +
                                                      • Decision Trees
                                                      • +
                                                      • Clustering (Traditional, Bagged, Hierarchical)
                                                      • +
                                                      • Random Forest
                                                      • +
                                                      • GBM, SVD, SVM
                                                      • +
                                                      • Neural networks
                                                      • +
                                                      • Text Mining (TF-IDF, Latent Dirichlet and Similarity models)
                                                      • +
                                                      • Optimizations (Linear and Non-linear)
                                                      • +
                                                      • Simulations (MCMC) etc.
                                                      • +

                                                      -

                                                      *Any knowledge for any of the above would be considered as an asset

                                                      +

                                                      Seeking a candidate who is pursuing a Masters or PhD in Data Science or a related field, and will graduate within 0-2 years of 2021

                                                      +

                                                      The scientist will apply these methods to solve business problems ranging from Marketing, Finance, Operations, Risk or Strategy domains across all of the organization’s geographies and divisions.

                                                      +

                                                      The Data Engineer will gain valuable experience with a number of data technologies that support software development, advance analytics and reporting including:

                                                      +
                                                        +
                                                      • Cloud (Azure)
                                                      • +
                                                      • Hadoop (Hortonworks, Pivitol)
                                                      • +
                                                      • Statistical Packages (Matlab,)
                                                      • +
                                                      • Databases: HAWQ, HDB, MongoDB, Cassandra, HBase
                                                      • +
                                                      • Reporting and Data Visualization tools (Qlik, Tableau, Oracle etc)
                                                      • +
                                                      • Scripting Languages: Java, C++, PHP, Ruby
                                                      • +
                                                      +

                                                      The engineer provides leadership and consultative support to data activities across the organization and is key to ensuring that the data environment supports value-add activities in analytics, decision making and direct customer facing activities.

                                                      +

                                                      3. Continuous Development

                                                      +

                                                      Manulife is committed to Learning and Development. The candidate will be hired into the Advanced Analytics Development Program and introduced to a seasoned and eminent analytic leader in the organization who will act as a mentor. Manulife’s analytic leaders have backgrounds ranging from Management Consulting, P&C, Life, Investments, Retirements and who have solved Business Problems for the likes of Walmart, Caterpillar, Lowes, AT&T, Farmers, Capital One, Google, HSBC to name a few.

                                                      +

                                                      Program participants will have access to and can expect to participate in:

                                                      +
                                                        +
                                                      • Kaggle-style data science competitions
                                                      • +
                                                      • Team and networking events
                                                      • +
                                                      • Monthly Global Best Practice meetings
                                                      • +
                                                      • Conferences/Training courses
                                                      • +
                                                      • Presentations to Executives
                                                      • +
                                                      +


                                                      If you are ready to unleash your potential it’s time to start your career with Manulife/John Hancock.

                                                      +

                                                      About Manulife

                                                      -

                                                      CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5491?c=cn360,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2020-12-23T18:25:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/42288678-manager-delivery-data-design-at-cn,,expired,2020-11-23T18:25:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Manager,Bachelors Degree,Re-Posting an Expired Job, -28baabd0-e692-479e-b1c4-1400651df5b8,42288731,BMO Financial Group,"Data Analyst - Business Operations, Winter 2021 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON, Canada",2020-11-23T18:40:57.744Z,"

                                                      As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                      +

                                                      Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2019, we had more than 35,000 employees, over 98,000 agents, and thousands of distribution partners, serving almost 30 million customers. As of June 30, 2020, we had $1.2 trillion (US$0.9 trillion) in assets under management and administration, and in the previous 12 months we made $30.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                      -

                                                      Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                      +

                                                      Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.

                                                      -

                                                      Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                      +

                                                      It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                      +
                                                    +
                                                      +
                                                    ",,https://manulife.wd3.myworkdayjobs.com/MFCJH_AdminJobs/job/Toronto-Ontario/Advanced-Analytics-Development-Program---Toronto---2021-Start_JobReq0400978,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-25T21:44:00.000Z,False,0,47,198,https://talenthub.vectorinstitute.ai/jobs/39312115-advanced-analytics-development-program-toronto-2021-start-at-manulife,,expired,2020-09-09T20:43:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +adf9a66f-9696-4a17-bee4-a6570c957427,39312128,TD Bank Group,"Intern Analyst, Geospatial Analytics",on_site,"Toronto, ON, Canada",2020-09-09T20:54:16.795Z,"

                                                    Company Overview

                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -

                                                    Note: To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                    +

                                                    Department Overview

                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    Building a World-Class Team at TD

                                                    +

                                                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                                    +

                                                    Our Leaders are committed to people development, career advancement and value diversity and inclusion.

                                                    +

                                                    Job Description

                                                    +

                                                    Reporting to Manager, Geospatial Analytics, Distribution & Geospatial Intelligence, Personal Banking Data & Analytics, the successful candidate will:

                                                    +
                                                      +
                                                    • Support with the execution and tracking of the Retail Branch Transformation Plan developed by Network Strategy.
                                                    • +
                                                    • Participate in the development of robust distribution & data models to identify priority markets for growth and optimization opportunities across the nation.
                                                    • +
                                                    • Support strategic business development by analyzing and presenting customer data, census data, Canadian wealth data, different segmentation systems and competitor location data to better understand who our customers are, if they are properly serviced and where new customers potentially exist
                                                    • +
                                                    • Understand the application and business implications of the use of statistical and geographic information system (GIS) software, to process large amounts of data that produce results describing the current retail banking landscape for our existing and potential future branches.
                                                    • +
                                                    • Develop multi-dimensional analytics and transform into simplified executive ready reports leveraging existing definitions/metrics, as well as new analytics being introduced into the organization to help solve key business problems and work towards the best analytical approach to address them.
                                                    • +

                                                    -

                                                    Provides production and end-user support for the Finance technical platform and system environment that supports financial data & control structures (e.g. SOX control activities, user access controls, data integrity controls) in order to provide accurate and relevant financial information for regulatory, statutory and management reporting purposes. Supports the planning, maintenance and change management for process changes, financial production schedules, tasks and reconciliations. Works with stakeholders to resolve issues and provide solutions that enable the enterprise finance and accounting processes and related systems to ensure service delivery and effectiveness.

                                                    +

                                                    Requirements

                                                      -
                                                    • Provides input into the planning and implementation of financial production schedules, reconciliations and reporting requirements.
                                                    • -
                                                    • Supports the execution of financial systems operational programs; assesses and adapts as needed to ensure quality of execution.
                                                    • -
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • -
                                                    • Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities.
                                                    • -
                                                    • Provides input into the planning and implementation of financial production schedules, reconciliations and reporting requirements.
                                                    • -
                                                    • Monitors Financial system technical infrastructure, applications and/or business transactions across the environment
                                                    • -
                                                    • Provides first-line, end-user support to resolve issues with the Finance production systems and applications; works with Technology and other stakeholders to investigate, perform root cause analysis and plan corrective actions
                                                    • -
                                                    • Executes routine tasks such as maintenance, service requests, transactions, queries etc. within relevant service level agreements e.g. maintain changes to financial system tables and financial hierarchies
                                                    • -
                                                    • Supports the system access provisioning processes according to guidelines and policies
                                                    • -
                                                    • Supports the data reconciliation processes between core finance systems
                                                    • -
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • -
                                                    • Supports the development of tools and delivery of training for financial management system-related processes
                                                    • -
                                                    • Develops tools and training content for financial management system related processes; may include delivery of training to audiences.
                                                    • -
                                                    • Focus may be on a business/group.
                                                    • -
                                                    • Thinks creatively and proposes new solutions.
                                                    • -
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • -
                                                    • Works mostly independently.
                                                    • -
                                                    • Broader work or accountabilities may be assigned as needed.



                                                      Qualifications:

                                                      -
                                                    • -
                                                    • As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                    • -
                                                    • Experience in financial information management, network administration.
                                                    • -
                                                    • Knowledge of financial applications and systems.
                                                    • -
                                                    • Knowledge of finance and accounting principles – In-depth.
                                                    • -
                                                    • Specialized knowledge from education and/or business experience.
                                                    • -
                                                    • Verbal & written communication skills - In-depth.
                                                    • -
                                                    • Collaboration & team skills - In-depth.
                                                    • -
                                                    • Analytical and problem solving skills - In-depth.
                                                    • -
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Candidate for Bachelor or post-graduate university education in Geomatics/Geographic Analysis, Big Data Analytics, Retail Studies, Urban Planning, Business, Economics, Math or Statistics with the intent of going back to school as of the start of your work term.
                                                    • +
                                                    • Working knowledge of geographic information systems (particularly ArcGIS) that include data conversion into different formats, data cleaning and normalization
                                                    • +
                                                    • Experience with spatial databases and/or ETL applications; preferably with knowledge of at least one application commonly used in the market (e.g., MS SQL, PostgreSQL, ESRI FGDB, Alteryx, Knime, SSIS, FME, etc.).
                                                    • +
                                                    • Fundamental knowledge of Microsoft Excel and the Microsoft Suite of applications
                                                    • +
                                                    • Customer focused, with a strong understanding of customer needs and experiences across all of TD’s channels.
                                                    • +
                                                    • Team player who is comfortable with working in a dynamic fast-paced work environment and with an evolving mandate.
                                                    • +
                                                    • Robust conceptual, analytical, and problem-solving skills, with basic understanding of multicriteria decision-making analytics, descriptive and inferential statistics that are essential in turning geographic and related data into useful insights for decision makers
                                                    • +
                                                    • The ability to develop, impact, and execute on key strategic priorities.
                                                    • +
                                                    • Strong knowledge of customer, branch, and channel centric metrics/performance indicators and reporting systems within TD.
                                                    • +
                                                    • Clear understanding of the retail environment, products, services, systems, and operations, as well as a good understanding of the environment within other TDCT businesses
                                                    • +
                                                    • Possess the ability to synthesize large amounts of complex data into key and concise messages for the senior leadership team.
                                                    • +
                                                    • Proactively mitigate business risk and managing expectations.
                                                    • +
                                                    • Works efficiently and has solid organizational skills/time management, and the ability to manage multiple responsibilities/initiatives.

                                                    +

                                                    Additional Information

                                                    +

                                                    Please ensure your application includes:

                                                    +
                                                      +
                                                    • Resume (maximum 2 pages)
                                                    • +
                                                    • Cover Letter
                                                    • +
                                                    • Unofficial university transcript
                                                    • +
                                                    +

                                                    This position is a 4-month work term (potential to extend to 8 months) and will commence January 4, 2021

                                                    +

                                                    TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                                    -

                                                    We’re here to help

                                                    +

                                                    Hours

                                                    +

                                                    37.5

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    Start Date

                                                    +

                                                    – Winter

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    ",,https://jobs.td.com/en-CA/jobs/11402000/intern-analyst-geospatial-analytics-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-09-25T21:40:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/39312128-intern-analyst-geospatial-analytics-at-td-bank-group,,expired,2020-09-09T20:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +7e2579e2-08e1-4d1c-bcd6-d9fcad23bb9c,39456522,Manulife,Senior Data Engineer,on_site,"Toronto, ON, Canada",2020-09-14T13:43:10.210Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    -

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    +

                                                    Job Description

                                                    +

                                                    Manulife’s Global Data Office (GDO) is seeking a Sr. Data Engineer reporting into the Director, Advanced Analytics and AI Engineering & Enablement Lead. Located in Toronto, Canada - the role will champion and support strategic and global data initiatives that strengthens Manulife’s global data and advanced analytic capabilities, foster cross-segment collaboration and communication helping build an agile data insight driven culture, and lead and nurture open data design and architecture establishing conditions for successful technical and analytic innovation. The Sr. Data Engineer will develop, maintain, and test: data pipelines, application framework, infrastructure for data generation and work closely with Data Scientists to enable their work using modern data architecture and tools.

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Analyst---Business-Operations--Winter-2021--Co-op-Internship----4-Months_R200011341,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:15:00.000Z,False,0,9,37,https://talenthub.vectorinstitute.ai/jobs/42288731-data-analyst-business-operations-winter-2021-co-op-internship-4-months-at-bmo-financial-group,,expired,2020-11-23T18:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -67371bc1-14a4-4558-9d66-71376408efe5,42288741,BMO Financial Group,"Senior Analyst, Hedging and Risk Modeling, ALM - New Grad (2020 start)",on_site,"Toronto, ON, Canada",2020-11-23T18:42:26.766Z,"

                                                    Supports the research and development of quantitative risk modeling methodologies and option hedging and investment strategies. Working as part of the Balance Sheet Analytics (ALM) team in the Global Treasury Group to manage structural market risks arising from business/group portfolios and products. Develops and implements models / methodologies to ensure market risk in banking products are properly measured and support effective risk management practices. Works with internal and external stakeholders to ensure market risks are properly identified and understood with supporting models and strategies successfully implemented.

                                                    +

                                                    Job Description

                                                    +

                                                    Manulife has a clear vision for a Global Data Strategy. By liberating and strengthening Manulife’s data capabilities we will enable deeper insights, better product and service design, and more effective business processes. The result will be exceptional experiences for our customers.

                                                    +

                                                    Key Responsibilities:

                                                      -
                                                    • Develops analytical solutions, models and methodologies used to manage risks related to the Bank’s portfolios and products e.g. valuations; hedging strategies, customer behaviorial models, performance measurement, etc.
                                                    • -
                                                    • Monitors the financial market environment and model performance impacts for optimal execution of risk strategies.
                                                    • -
                                                    • Maintains operational procedures and processes relating to data acquisition, analytical and reporting processes.
                                                    • -
                                                    • Ensures compliance with model risk and market risk governance and provides financial instrument transaction oversight.
                                                    • -
                                                    • Works closely with businesses and corporate partners to perform enterprise wise stress testing of the bank’s Net Interest Income in support of capital adequacy assessment
                                                    • -
                                                    • Performs analytics and reporting of economic and P&L performance of Corporate Treasury as a result of its hedging, investment and funding activities.
                                                    • -
                                                    • Researches industry best practices with respect to structural market risk modeling and methodology
                                                    • -
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • -
                                                    • Monitors and tracks changes to position and component risk metrics over reporting periods; addresses and / or escalates any issues.
                                                    • -
                                                    • Analyzes data and information to provide insights and recommendations.
                                                    • -
                                                    • Works with various data owners to discover and select data from internal and external sources e.g. lending system, payment system, external credit rating system.
                                                    • -
                                                    • Applies scripting / programming skills to assemble source data into structured datasets with multiple levels of granularities e.g., demographics, customers, products, transaction.
                                                    • -
                                                    • Applies suitable statistical techniques to perform analysis e.g., A/B testing, mathematical models, algorithms, machine learning to test, verify, refine hypotheses.
                                                    • -
                                                    • Collaborates with internal and external stakeholders to deliver on business objectives including third party suppliers.
                                                    • -
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • -
                                                    • Participates in the design, implementation and management of core business/group processes.
                                                    • -
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • -
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • -
                                                    • Works independently on a range of complex tasks, which may include unique situations.
                                                    • -
                                                    • Broader work or accountabilities may be assigned as needed.
                                                    • +
                                                    • Leveraging new & existing Big Data & Cloud technologies contributing to the innovative design, development and management of data analytics labs supporting to increase knowledge and insight from enterprise data
                                                    • +
                                                    • Perform technical systems and data flow development in a variety of projects for complex front, middle and back office applications, with a focus on the reporting and analytics environment; this environment is built on a Microsoft Azure cloud and is underpinned by a Hortonworks Hadoop stack
                                                    • +
                                                    • Perform technical systems and data flow design for small-to-medium sized projects
                                                    • +
                                                    • Work with multiple project execution and deployment teams (e.g. Development, Business Analysis, Architecture, Release Management, Production Support)
                                                    • +
                                                    • Work closely with the technical leads and architecture teams, and align solutions that meet the departmental architectural vision
                                                    • +
                                                    • Assess the completeness and accuracy of data, identifying gaps in data, provide feedback to business and system owners with guidance and options to obtain missing information
                                                    • +
                                                    • Design, build and implement modern data architectures in development and production environments (data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes)
                                                    • +
                                                    • Translates business needs into data engineering and architecture solutions
                                                    • +
                                                    • Contributes to overall solution, integration and enterprise architectures
                                                    • +
                                                    • Build and support deploying machine learning models in development and production environments
                                                    • +
                                                    • Provide proactive data ingestion and analysis of large structured and unstructured datasets involving a wide range of systems across Group Functions (i.e., Finance, Treasury, Risk, Human Resources, Brand & Communications)
                                                    • +
                                                    • Evaluating existing and proposed data models and how to best access and query them as well as existing and proposed data interfaces and how to clearly document them, including specification of data flow models, data flow timing, data mapping, and data transformation rules including data validations and controls
                                                      +
                                                    -

                                                    Qualifications:

                                                    +

                                                    Education, Experience & Skills:

                                                      -
                                                    • Relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • -
                                                    • Degree in either Financial Engineering, Mathematic Finance, Computer Science, Economics or Risk Management preferred
                                                    • -
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • -
                                                    • Required Programming Skills: Excel/VBA; Nice to have: Bloomberg, R, Python, SQL, SAS
                                                    • -
                                                    • Understanding of Asset Liability Management/Capital Markets concepts.
                                                    • -
                                                    • Highly developed quantitative skills.
                                                    • -
                                                    • Working experience in a Finance environment with exposure to one or more of the following:
                                                    • -
                                                    • Risk management, financial market products and pricing, Balance Sheet / Asset Liability management.
                                                    • -
                                                    • Knowledge of quantitative modelling including understanding of statistics, risk and financial metrics.
                                                    • -
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • -
                                                    • Verbal & written communication skills - In-depth.
                                                    • -
                                                    • Collaboration & team skills - In-depth.
                                                    • -
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Demonstrated 2-5 years of professional experience in related industry experience in working in big data/data management & understanding big data analytic tooling and environments including a University degree and or Master’s degree in Engineering, Computer Science or equivalent quantitative program
                                                    • +
                                                    • Experience in Big Data, Analytics and Business Intelligence technologies to support design, build and implementation for advanced analytics and business intelligence reporting;
                                                    • +
                                                    • Experience working with Cloudera and/or Hortonworks Hadoop stack
                                                    • +
                                                    • Experience with big data processing frameworks and techniques such as HDFS, MapReduce, Syncsort, Sqoop, Oozie, Storage formats (Avro, Parquet), Stream processing (NiFi, Kafka), etc.
                                                    • +
                                                    • Understanding of relational and warehousing database technology working with Hadoop and other major databases platforms (e.g., Hadoop, Oracle, SQLServer, Teradata, MySQL, or Postgres)
                                                    • +
                                                    • Experience in data technologies and use of data to support software development, advanced analytics and reporting. Focus on Cloud (Azure), Hadoop-based technologies and programming or scripting languages like Java, Scala, Linux, C++, PHP, Ruby Python, R and SAS.
                                                    • +
                                                    • Knowledge regarding different databases such as Hawq/HDB, MongoDB, Cassandra or Hbase.
                                                    • +
                                                    • Working knowledge of modern data streaming using Kafka, Apache Spark and data ingestion frameworks: NiFi, Hive and Pig
                                                    • +
                                                    • Experience writing complex SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments (i.e., HADOOP, SPARK, or similar open source and commercial technologies)
                                                    • +
                                                    • Knowledge of non-relational (Cassandra, MongoDB) databases preferred
                                                    • +
                                                    • Predictive analytics and machine learning experience (scikit-learn, Tensorflow, MLlib, recommendation systems) preferred
                                                    • +
                                                    • Experience with integrating to back-end/legacy environments
                                                    • +
                                                    • Experience integrating business and technology teams
                                                    • +
                                                    • Knowledge and familiarity with machine learning models application and production pipelines
                                                    • +
                                                    • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                    • +
                                                    • Remains current with emerging technologies, innovations and practices within the data and analytics industry
                                                    • +
                                                    • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                    • +
                                                    • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                    • +
                                                    • Strong work ethic, results oriented, and accuracy / attention to detail are critical; ability to work in agile or scrum delivery environments
                                                    • +
                                                    • Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language. A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges
                                                    • +
                                                    • Excellent organizational and time management skills, strong business presence with ability to multi-task and effectively deal with competing priorities. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions and be a strong team player.

                                                    +

                                                    What about Perks?

                                                    +

                                                    Manulife has lots of perks including, but not limited to:

                                                    +
                                                      +
                                                    • Competitive compensation
                                                    • +
                                                    • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                    • +
                                                    • Manulife Share Ownership Program with employer matching
                                                    • +
                                                    • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                    • +
                                                    • Financial support for ongoing training, learning, and education
                                                    • +
                                                    • Monthly Innovation Days (Hackathons)
                                                    • +
                                                    • Wearing jeans to work every day
                                                    • +
                                                    • An abundance of career paths and opportunities to advance.
                                                    • +

                                                    +

                                                    This is a full-time, permanent role located in Toronto, Ontario.

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +



                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/961762/SeniorDataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-14T15:08:12.225Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/39456522-senior-data-engineer-at-manulife,,expired,2020-09-14T13:43:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +c12b38f8-1f94-4594-98f1-643d7c869866,39456525,Manulife,Automation & Digitization - Senior Full Stack Engineer,on_site,"Waterloo, ON, Canada",2020-09-14T13:43:56.201Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    Job Description

                                                    +

                                                    The Automation and Digitization team is focused on Manulife’s digital transformation to provide our Customers with a more dynamic technology experience. We are looking for an equally dynamic Software Engineer who obsesses about Customers and is passionate about developing amazing technology solutions. We are focused on developing products for our internal Business Unit IT Team’s to enable them to quickly transform to digital and enable automation.

                                                    -

                                                    We’re here to help

                                                    -

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    Automation & Digitization Team, we are:

                                                    +
                                                      +
                                                    • An agile team that sits right beside our business partners designing amazing Customer solutions that make it easy to work with Manulife
                                                    • +
                                                    • Ready to fail fast trying new ideas that challenge the way we do business
                                                    • +
                                                    • An interesting and competitive cast of characters who are always looking to innovate and find new ways of wowing our Customers
                                                    • +
                                                    • Here to support each other and create a fun and challenging work environment where everyone is engaged and all in on making our Team an awesome group to work with
                                                    • +

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    As a Senior Full Stack Engineer, you will:

                                                    +
                                                      +
                                                    • Design, code, unit test and integrate new features and functionality
                                                    • +
                                                    • Apply creative problem solving that bring software designs to life
                                                    • +
                                                    • Build apps, APIs and data solutions to drive projects
                                                    • +
                                                    • Promote agile principles and methodology
                                                    • +
                                                    • Participate in ideation and brainstorming sessions to devise creative and disruptive digital solutions
                                                    • +
                                                    • Perform various investigative ""Spikes"" in order to mitigate technical uncertainty and risk
                                                    • +
                                                    • Assist in the development of automated test harnesses as necessary to ensure delivery of high-quality code
                                                    • +
                                                    • Update progress daily through the tracking tool (Jira) or Kanban board
                                                    • +
                                                    • Complete and ensure completion of any required documentation required e.g. deployment, maintenance, support and business needs
                                                    • +
                                                    • Participate in the weekly Look Ahead meetings to assist the Product Owner to refine the Product Backlog including providing initial estimates
                                                    • +
                                                    • Apply disciplined coding practices to enable agility and delivery of high-quality code
                                                    • +

                                                    -

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    +

                                                    An opportunity to bring and continuously build upon the following skills and experience:

                                                    +
                                                      +
                                                    • Agile, PCF, Node, React and Jenkins (must have)

                                                      +
                                                    • +
                                                    • Technologies such as: React, Angular, JQuery, Javascript, Python, Scala or Java
                                                    • +
                                                    • Good API skills (technologies such as Express/Node, GraphQL/Relay, Flask, Jersey, Java Spring REST or WebApi2)
                                                    • +
                                                    • Writes clear, readable and maintainable code, takes ownership of the quality and usability of code
                                                    • +
                                                    • Understands how to find and reuse patterns and platforms in the Manulife ecosystem and the broader community
                                                    • +
                                                    • Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
                                                    • +
                                                    • Good foundation in data structures, algorithms, and OO Design with rock-solid programming skills
                                                    • +
                                                    • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                    • +
                                                    • Constantly learns from both success and failure
                                                    • +
                                                    • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                    • +
                                                    • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                    • +
                                                    • Experiments with emerging technologies and understanding how they will impact what comes next
                                                    • +
                                                    • Experience working in or leading complex enterprise implementations
                                                    • +

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Hedging-and-Risk-Modeling--ALM---New-Grad--2020-start-_R200014994,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:15:00.000Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/42288741-senior-analyst-hedging-and-risk-modeling-alm-new-grad-2020-start-at-bmo-financial-group,,expired,2020-11-23T18:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -59a8926e-4df2-4402-806c-a189f7aa1245,42329299,Clearpath,Senior Systems Engineer (Design),on_site,"Kitchener, Ontario",2020-11-25T06:21:18.074Z,"

                                                    Description

                                                    -

                                                    Position: Senior Systems Engineer (Design)
                                                    Location: Kitchener, Ontario
                                                    Experience: 10+ years of experience
                                                    Education: College / University Degree in an Engineering Discipline
                                                    Division: OTTO Motors

                                                    -

                                                    About Clearpath Robotics Inc.

                                                    -

                                                    Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                    -

                                                    About OTTO Motors

                                                    -

                                                    OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                    -

                                                    About the Job

                                                    -

                                                    Systems Engineering is about creating something that is more than the sum of the parts. You will be responsible for using your varied experience and appropriate modelling and methodologies to determine the solution to a product problem by applying the optimum combination of mechanical, electronic and software solutions. You will work directly with the other teams in the Software, Electronics, Test and Mechanical Design disciplines to interpret the product requirements and produce an integrated product. You will then be responsible for defining the specifications of the final product and validating that it meets the requirements.

                                                    -

                                                    Primary responsibilities include:

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +



                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/959415/AutomationDigitizationSeniorFullStackEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-15T13:01:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/39456525-automation-digitization-senior-full-stack-engineer-at-manulife,,expired,2020-09-14T13:43:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +a6d758ac-7588-42c0-b46d-a280e8ea6d0d,39456620,Intact Financial Corporation,Data Science – 4 Month Co-op/Internship (Winter 2021),on_site,"Toronto, ON, Canada",2020-09-14T14:24:25.776Z," + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                                    +

                                                    At Intact, insurance is not about things. It’s about people. It’s what we believe, and it shapes everything we do. It’s why we strive to provide a second-to-none experience for our customers and create an inspiring workplace for our employees to thrive in. And, it’s why we’re committed to nurturing and investing in the future tech talent of our industry.

                                                    +

                                                    As Canada’s largest provider of property and casualty insurance, we’re not only leading our industry, but we’re redefining what it means to work for it. As a recognized top employer, we’re committed to living our values and supporting our dedicated people who bring their best to work each day because they know their work matters.

                                                    +
                                                    +
                                                    Your Job
                                                    +

                                                    It’s more than a great career. It’s a bright future.

                                                    +

                                                    We’re hiring a team of Future Talent tech superstars – people like you! – to join our Intact Lab – Data Science team. In a world where data is changing the way we live, the Intact Lab – Data Science team leverages a variety of sources of information coming from all touchpoints with our customers. We also use state of the art technologies to explore new possibilities and help us become one of the smartest players in the game. From analyzing our customers driving behaviours to state of the art technology for determining accurate prices on intangible products, the opportunities stemming from being the largest P&C insurer in Canada are endless.

                                                    +

                                                    The role.

                                                    +

                                                    As a Data Science Co-op/Intern, you will take on challenging projects that provide tremendous opportunities to learn and grow, surrounded by a multi-disciplinary team that constantly pushes to develop and implement innovative products.

                                                    +

                                                    When you step into this role, you will:

                                                      -
                                                    • Developing Engineering requirements and design approaches from product requirements and stakeholder feedback
                                                    • -
                                                    • Ensuring that proper design and validation procedures are followed.
                                                    • -
                                                    • Managing the engineering development of key products
                                                    • -
                                                    • Applying appropriate simulation and modelling techniques to the design problems in order to allow for rapid iteration
                                                    • -
                                                    • Support and help to develop MiL and HiL testing
                                                    • +
                                                    • Stay current on new approaches or opportunities, and bring them to the solutions you design
                                                    • +
                                                    • Transform complex data sets into meaningful conclusions and recommendation
                                                    • +
                                                    • Develop novel and innovative solutions for pattern recognition using machine learning and statistical approaches
                                                    -

                                                    Additional tasks:

                                                    +

                                                    You will also have the chance to:

                                                      -
                                                    • Reporting on project progress and risks
                                                    • -
                                                    • Providing input on new product direction and scope
                                                    • -
                                                    • Assisting with component selection
                                                    • +
                                                    • Experience first-hand what it’s like to work as a Data Science Co-op/Intern and discover more about how advances in technology are shaping the way the insurance business works
                                                    • +
                                                    • Explore new ideas and learn about best practices in a fun, inclusive environment
                                                    • +
                                                    • Put your creative mind to work while you help the team solve problems and contribute to challenging, meaningful projects
                                                    • +
                                                    • Attend social events with the team, so you can meet new people and celebrate successes
                                                    -

                                                    About You

                                                    -

                                                    You want to work for a fast-moving company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

                                                    -

                                                    As an experienced Systems Engineer you believe that the final product is more than the sum of its component parts and live in this area of optimising the intersection of the components. You are no stranger to the intricacies of engineering compromise and the need to consider all aspects of the whole when crafting the ultimate fulfillment of the requirements. Your mastery comes from your tertiary degree in an engineering discipline and years of experience in developing systems involving mechanical, electronic and software aspects. You are able to break down a complex system into models and validate these as being representative of the real system.

                                                    -

                                                    Required skills:

                                                    +
                                                    +
                                                    Your Skills
                                                    +

                                                    These are the requirements to apply:

                                                      -
                                                    • Experience in Systems Optimization or Modelling
                                                    • -
                                                    • 5+ years of experience in Systems Engineering
                                                    • -
                                                    • 8+ years of relevant work experience
                                                    • -
                                                    • Experience with systems involving mechanical, electronic, software and human elements.
                                                    • -
                                                    • An understanding of Product Development and Deployment
                                                    • +
                                                    • Currently pursing a Bachelor’s, Master’s or PhD related to artificial intelligence, computer science or data science
                                                    • +
                                                    • Available to work with us for Winter 2021 (January to April)
                                                    • +
                                                    • Must be returning to full time studies following the internship in Summer 2021 or Fall 2021
                                                    • +
                                                    • Open-source frameworks: Python, R, Spark, Hadoop
                                                    • +
                                                    • Work environment: GitHub, Git, Agile, Scrum
                                                    • +
                                                    • Understanding of the underlying Machine Learning theory an asset
                                                    • +
                                                    • Understanding in any specific field: Computer vision, Natural Language Processing or Artificial Intelligence an asset
                                                    • +
                                                    • Practical experience with machine learning or deep learning framework an asset
                                                    • +
                                                    • Ability to concentrate on loosely defined problems which require application of creative approaches
                                                    • +
                                                    • Strong communication, time-management, organization, and prioritization skills
                                                    • +
                                                    • Understanding of data science approaches in consumer research domains an asset
                                                    • +
                                                    • Cooperative team player
                                                    -

                                                    -

                                                    Bonus Skills

                                                    +

                                                    Your career starts here. Apply today!

                                                    +

                                                    We can’t wait to learn more about you. When you complete your application, remember to include your resume and University/College transcript. We hire co-ops every semester (Winter, Summer and Fall)!

                                                    +
                                                    +
                                                    Closing Statement
                                                    +

                                                    We are an Equal Opportunity Employer

                                                    +

                                                    At Intact, our values guide everything that we do. We celebrate our differences and appreciate our similarities. That’s why we are committed to building an inclusive and inspiring environment for all employees. If you need a specific accommodation during the recruitment process, please let us know and we will be happy to provide.

                                                    +

                                                    Background Checks

                                                    +

                                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                    +

                                                    Internal Candidates

                                                    +

                                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                    +

                                                    Eligibility to Work in Canada

                                                    +

                                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                    +

                                                    This posting closes on October 9th, 2020 at 11:59PM.

                                                    +
                                                    +
                                                    Indeed Sponsored
                                                    +

                                                    IN-ON

                                                    +
                                                    +

                                                    ",,https://careers.intact.ca/ca/en/job/IFCOUS12798/Data-Science-4-Month-Co-op-Internship-Winter-2021,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2020-10-13T14:34:00.000Z,False,0,27,91,https://talenthub.vectorinstitute.ai/jobs/39456620-data-science-4-month-co-op-internship-winter-2021-at-intact-financial-corporation,,expired,2020-09-14T14:24:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +6df552df-6d33-4710-9c14-abc79c57b439,39457189,Accenture,Principal Data Scientist,on_site,"Toronto, ON, Canada",2020-09-14T18:03:03.781Z,"

                                                    Job Description

                                                    +

                                                    Job Description – Principal Data Scientist

                                                    +

                                                    Location: Montreal, Ottawa & Toronto

                                                    +

                                                    Job Description Overview

                                                    +

                                                    We Are:

                                                    +

                                                    The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

                                                    +

                                                    You Are:

                                                    +

                                                    An expert at solving real-world challenges with data, analytics, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. And you’re the spark, enabling your team to help clients scale data into value.

                                                    +

                                                    What You’ll Do:

                                                      -
                                                    • Experience in developing with the V-Model
                                                    • -
                                                    • Experience with vehicle development and / or industrial automation
                                                    • -
                                                    • Experience designing or modelling kinematic systems
                                                    • -
                                                    • Able to write scripts and programs to solve your calculation and design problems. MatLab, Python, C or similar.
                                                    • -
                                                    • Experience in developing Hardware-in-the-Loop testing
                                                    • -
                                                    • Experience with ROS
                                                    • -
                                                    • Technical Project Management Experience
                                                    • +
                                                    • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients
                                                    • +
                                                    • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                                    • +
                                                    • Stay abreast of AI/ML technologies, academic researches & hands-on techniques
                                                    • +
                                                    • Lead small teams to develop innovative solutions for clients across functions & industries
                                                    -

                                                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                    ",,http://jobs.jobvite.com/clearpath/job/oksEdfwn,feed-importer@jobboard.io,,,,2020-12-26T15:09:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/42329299-senior-systems-engineer-design-at-clearpath,http://jobs.jobvite.com/clearpath/job/oksEdfwn,expired,2020-11-25T06:21:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, -2f6fa80d-fddb-481d-9641-9f5d661d970d,42478882,RBC,Director - AI Engineering,on_site,"Toronto, Ontario, Canada",2020-11-27T06:21:41.646Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    -

                                                    As a leading technology infrastructure organization, RBC Tech Infrastructure is seeking a Hands-on, Director, AI Engineering, which will require the person to drive the enhancement for AIOps (Artificial Intelligence for Operations), cloud-native data solution, and API enabled enterprise applications. You will work with technical and business stakeholders to make data accessible, drive automation, and generate insights through advanced machine learning and AI. This role will start as an individual contributor with the potential of driving a team and will report to Senior Director, AI.

                                                    -

                                                    -

                                                    What will you do?

                                                    -

                                                    +

                                                    Qualifications

                                                    +

                                                    What We’re Looking For:

                                                      -
                                                    • Mentoring a team of Deep analytics and automation Engineers to help deliver on our five-year strategic goals
                                                    • -
                                                    • Act as an advisory figure for our division, present strategic analysis and help to achieve strategic priorities
                                                    • -
                                                    • Partner with key stakeholders, develop relationships with working groups such as application and delivery teams, various infrastructure pillars, and business owners
                                                    • -
                                                    • Work with big data, cloud-based environments, and Agile methodologies
                                                    • -
                                                    • Collaborate, influence and work cross-functionally with teams in IT, Operations, Application Delivery, and Business Owners
                                                    • -
                                                    • Experience with incident management, CI/CD, and ITIL
                                                    • +
                                                    • At least 5 years embracing challenges with data science lifecycle in enterprise setting
                                                    • +
                                                    • At least 3 years developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning
                                                    • +
                                                    • At least 3 years working with data science tools: e.g. Python, Plotly, Flask & Git
                                                    • +
                                                    • At least 3 years designing & operating tools & services in cloud environments: e.g. GCP, Azure, AWS & Databricks
                                                    • +
                                                    • At least 3 years orchestrating and maintaining AI/ML models in a production environment using MLOps/DevOps/DataOps tools: e.g. Docker, Kubernetes, MLFlow, Jenkins & CircleCI
                                                    • +
                                                    • At least 5 years storytelling with data and communicating findings to a non-technical audience
                                                    • +
                                                    • At least 2 years managing a data science team and providing technical leadership
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    -

                                                    Must have:

                                                    +

                                                    Bonus Point If:

                                                      -
                                                    • Bachelor or Master’s degree, or Ph.D. in Computer Science, Mathematics, or similar Quantitative Discipline, or equivalent experience
                                                    • -
                                                    • Extensive experience with Model Validation or Development
                                                    • -
                                                    • Advanced understanding of languages and tools such as R, Python, SAS, SQL, C++ Matlab, Elastic and Splunk
                                                    • -
                                                    • Experience with Building and Deploying Machine Learning Algorithms. Proven experience of delivering on large scale initiatives.
                                                    • -
                                                    • 10+ years of experience in an analytical or strategic role with experience managing an analytical team.
                                                    • -
                                                    • Experience working with one or many cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW. Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                                    • +
                                                    • Graduate degree in data science or related disciplines: e.g. Applied Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                    • +
                                                    • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                    • +
                                                    • A blend of data science capability, industry and consulting expertise
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    -

                                                    We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                    • Drive to learn and master new technologies and techniques
                                                    +

                                                    We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality.

                                                    +

                                                    To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers

                                                    +

                                                    It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.

                                                    +

                                                    Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

                                                    +

                                                    We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

                                                    +

                                                    Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com. - Ottawa,Ontario - Toronto

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,aimasters@vectorinstitute.ai,https://www.accenture.com/ca-en/careers,,,2020-10-15T20:34:48.846Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/39457189-principal-data-scientist-at-accenture,,expired,2020-09-14T18:03:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, +e2cbf95b-b1e8-4cc6-a03b-7e06a34711f1,39605583,Vector Institute,AI Software Developer,on_site,"Toronto, ON, Canada",2020-09-18T20:57:28.391Z,"

                                                    POSITION SUMMARY

                                                    +

                                                    +

                                                    As a Vector AI Software Developer, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI.

                                                    +

                                                    +

                                                    Job classification commensurate with experience (i.e. AI Software Developer, Senior AI Software Developer, Principal AI Software Developer).

                                                    +

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    +

                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • -
                                                    • A world-class training program in financial services
                                                    • -
                                                    • Flexible work/life balance options
                                                    • -
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • -
                                                    • Opportunities to building close relationships with clients
                                                    • -
                                                    • Access to a variety of job opportunities across business and geographies
                                                    • +
                                                    • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                    • +
                                                    • Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • +
                                                    • Design and develop open source software for applying AI research techniques to common problems;
                                                    • +
                                                    • Mentor industry sponsors on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                    • +
                                                    • Mentor researchers on software engineering best practices;
                                                    • +
                                                    • Develop prototypes and proofs of concept; and,
                                                    • +
                                                    • Report and present on software development including status and results.
                                                    -

                                                    -

                                                    Learn more about RBC Tech Jobs

                                                    -

                                                    -

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                    -

                                                    -

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    -

                                                    -

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front Street West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel(%): 0-25

                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Job Posting End Date: 11/30/2020
                                                    Req ID: 289296

                                                    -

                                                    Posting Notes:

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2021-01-03T20:09:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/42478882-director-ai-engineering-at-rbc,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,expired,2020-11-27T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,Re-Posting an Expired Job, -ea3a0335-7e08-40d9-8fca-f5a3d94b8748,42478942,RBC,Quantitative Analyst,on_site,"Toronto, Ontario, Canada",2020-11-27T06:22:00.490Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    A Quantitative Analyst in the Central Funding/Securitized Products Analytics Group will focus on developing and implementing new, and maintaining and/or enhancing the existing securitized product and other fixed-income product models.

                                                    -

                                                    -

                                                    This role will initially focus on retooling the existing models against the backdrop of the IBOR transition, and gradually broaden to cover other analytics needs. One of the main contributions of the role will be ensuring that the firm’s securitized/fixed-income product risk reporting and capital usage computation framework is suitable for the current or future market conditions and regulations.

                                                    -

                                                    -

                                                    What will you do?

                                                    +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    +

                                                      -
                                                    • Apply quantitative skills to design, implement, test, and roll out the securitized and fixed-income product models in the current analytical environment
                                                    • -
                                                    • Build the benchmark or challenger models where deemed necessary
                                                    • -
                                                    • Support the CFG business by assisting the traders, risk managers, and product controllers in understanding the models and interpreting the model outputs
                                                    • -
                                                    • Support the preparation of model documentation and validation submissions, as well as tracking the model performance, per the internal policies and regulatory guidelines
                                                    • -
                                                    • Review and comply with firm policies applicable to CFG business activities
                                                    • -
                                                    • Escalate operational risk loss events, control deficiencies and risks that you identify to your line manager and the relevant risk and control functions on a timely basis.
                                                    • +
                                                    • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred
                                                    • +
                                                    • Minimum of 2 years of experience in industry; experience across industries considered an asset
                                                    • +
                                                    • Demonstrated experience in machine learning and/or statistics
                                                    • +
                                                    • Demonstrated software engineering background with experience in production deployment
                                                    • +
                                                    • Demonstrated data engineering background working with messy real-world data
                                                    • +
                                                    • Demonstrated analytical skills to identify signal in data and feasibility of prediction
                                                    • +
                                                    • Strong knowledge and experience of Python and preferably C/C++ and C#
                                                    • +
                                                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                    • +
                                                    • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA)
                                                    • +
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
                                                    -

                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    +

                                                    +

                                                    Please apply using the link provided. Review of applications will begin September 28, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    +

                                                    +

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    +

                                                    +

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=97&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-10-18T20:57:00.000Z,False,0,75,665,https://talenthub.vectorinstitute.ai/jobs/39605583-ai-software-developer-at-vector-institute,,expired,2020-09-18T20:57:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Associate,Bachelors Degree,New Posting, +71b67d38-9427-48ba-b75c-1651f1bcba78,39667264,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, ON, Canada",2020-09-21T14:50:23.358Z,"

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                    Be encouraged to deepen your technical skills…whatever those may be.

                                                    +

                                                    Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                                    +

                                                    About the team

                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    You are someone who has:

                                                      -
                                                    • Post-grad degree in one of quantitative areas such as mathematics, physics, computer sciences, or engineering. Ph.D is preferred
                                                    • -
                                                    • Solid knowledge of financial instruments and derivatives, such as bonds, IR swaps, futures, and options, as well as related pricing and risk management models. Hand-on experience on interest rate models is preferable
                                                    • -
                                                    • Proficient in one programming language such as Python (preferable), C#, or C++. VBA is a good to have
                                                    • -
                                                    • Good communication skills in both verbal and writing
                                                    • -
                                                    • Excellent analytical skills and a faster and self-motivated learner.
                                                    • +
                                                    • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                                    • +
                                                    • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                                    • +
                                                    • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                                    • +
                                                    • 1+ years of hands-on experience with data management concepts
                                                    • +
                                                    • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                                    • +
                                                    • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                                    -

                                                    -

                                                    Nice-to-have

                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                      -
                                                    • Broad knowledge of financial markets and regulations is good to have
                                                    • -
                                                    • Experience in SQL programming and Unix/shell scripting is a plus.
                                                    • +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    -

                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-10-22T13:41:16.829Z,False,0,1,26,https://talenthub.vectorinstitute.ai/jobs/39667264-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,,expired,2020-09-21T14:50:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, +6b2e5c2e-f6d1-4fa9-8585-f0df7a2c420a,39703172,Canvass Analytics Inc.,Marketing Growth Lead,temporary,"Toronto, ON, Canada",2020-09-23T03:54:17.707Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    +

                                                    Canvass AI is disrupting the industrial sector with its cutting-edge AI platform, by transforming industrial engineers into data and digital engineers. Backed by some of the world’s largest companies like Google’s Gradient Ventures, Canvass is democratizing the use of AI in day to day operations so industrial companies can build AI/ML models at scale and deploy them in production to gain business benefits in real time.​

                                                    +

                                                    The Canvass marketing team is responsible for developing brand awareness, go to market and growth opportunities to fuel continued acceleration & utilization of Canvass’ AI platform. Our work ranges from looking at dynamic and diverse ways to build out our community across the industry, make Canvass a reference point across the many industry segments we serve, expand across key global & strategic partnerships, enable our product & sales team with robust and relevant enablement, launch and manage campaigns to fuel continued growth, track metrics and reduce the sales cycle through innovation across our marketing programs and technology platform.

                                                    +

                                                    Job Description

                                                    +

                                                    As a Marketing Growth Lead, you will use your knowledge and experience to drive go to market and campaigns, launch relevant content to fuel awareness, get deep on analytics, U/X and A/B testing to maximize conversion rates and be up for filling in the gaps as we build out a world class marketing team to support the growth of Canvass.

                                                    +

                                                    Key Responsibilities

                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • -
                                                    • Opportunities to do challenging work
                                                    • -
                                                    • Flexible work/life balance options
                                                    • +
                                                    • Develop and launch campaigns to support our GTM (go to market) initiatives
                                                    • +
                                                    • Work with our Partner Team to support dedicated partner programs that land and expand across these key relationships
                                                    • +
                                                    • Manage the day to day requirements across key digital assets to drive increase in traffic, interactions and engagement
                                                    • +
                                                    • Savvy on content and execution of copy
                                                    • +
                                                    • Optimize conversion funnels on landing page experiences through quantitative and qualitative testing from acquisition to customer marketing - the full customer journey
                                                    • +
                                                    • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                    • +
                                                    • Proficiency in Hubspot, Wordpress, Google sheets and supporting the build out of the marketing tech stack to fuel growth
                                                    • +
                                                    • Proficiency with probability and statistics
                                                    • +
                                                    • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                    • +
                                                    • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                    • +
                                                    • Ability to turn complex data and insights into easily understood
                                                    • +
                                                    • Strong organizational, time management, and analytical skills
                                                    -

                                                    -

                                                    -

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 200 Bay St.
                                                    Work Hours/Week: 37.5+
                                                    Work Environment: Trading Floor
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Position Level: CM – Associate
                                                    Required Travel(%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 10/02/2020
                                                    Req ID: 263859

                                                    -

                                                    -

                                                    -

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/263859/Quantitative-Analyst,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-12-03T06:26:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/42478942-quantitative-analyst-at-rbc,https://jobs.rbc.com/ca/en/job/263859/Quantitative-Analyst,expired,2020-11-27T06:22:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,Re-Posting an Expired Job, -6c73c5ed-bed9-4d98-b340-8d460b54b9b8,42713112,BenchSci,Senior Software Engineer - Data Pipeline,on_site,"Toronto, ON, Canada",2020-11-30T17:50:52.538Z,"

                                                    BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.

                                                    We are currently seeking a Senior Software Engineer to join our Data Pipeline Team. Reporting into the Data Engineering Manager, you will work on evolving our data models in several styles of datastores, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines.

                                                    +

                                                    Qualifications

                                                    +
                                                      +
                                                    • You are analytical and metrics driven with strong copywriting skills along with a hunger to test and experiment with new and innovative ideas
                                                    • +
                                                    • You live and breathe anything, and everything related to opportunity creation & growth because you consider yourself a strategist who can optimize lead-to-customer conversion rates and increase funnel marketing efficiencies
                                                    • +
                                                    • You have experience with improving and optimizing online user experience, with a focus on B2B conversions
                                                    • +
                                                    • You will combine processes with flexibility, data with wise iteration and curiosity with perseverance
                                                    • +
                                                    +

                                                    Required Skills

                                                    +
                                                      +
                                                    • 5-7 years of B2B demand generation experience
                                                    • +
                                                    • Ability to work in a fast-paced, dynamic work environment
                                                    • +
                                                    • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                    • +
                                                    • Familiar with HubSpot, WordPress and Salesforce
                                                    • +
                                                    • Proficiency in Google Sheets and data analysis
                                                    • +
                                                    • Proficiency with probability and statistics
                                                    • +
                                                    • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                    • +
                                                    • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                    • +
                                                    • Strong organizational and time management skills
                                                    • +
                                                    • Ability to turn complex data and insights into easily understood. Team Player and can work independently to achieve required goals
                                                    • +
                                                    • Roll up your sleeve get stuff done attitude with high growth start-up experience
                                                    • +
                                                    +

                                                    Your Benefits
                                                    +
                                                    +Some of the benefits you can expect as part of our team include:
                                                    +

                                                    +
                                                      +
                                                    • Awesome team and culture (every day)
                                                    • +
                                                    • Generous time off, including vacation and personal days personal days to help rejuvenate
                                                    • +
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • +
                                                    • Flexible office policy, with options to work remotely
                                                    • +
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • +
                                                    • Company-provided MacBooks and standing desks
                                                    • +
                                                    • Top technology and tools to excel at your role
                                                    • +
                                                    • Free team lunches
                                                    • +
                                                    +

                                                    Why Join Canvass?

                                                    +

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    +

                                                    What's it like working at Canvass?

                                                    +

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    +

                                                    +

                                                    ",careers@canvass.io,,annie.saiyid@canvass.io,http://www.canvass.io,,,2020-10-23T13:21:47.029Z,False,1,0,23,https://talenthub.vectorinstitute.ai/jobs/39703172-marketing-growth-lead-at-canvass-analytics-inc,,expired,2020-09-23T03:54:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Software,Mid-Senior Level,Bachelors Degree,New Posting, +dbb07238-855a-4c08-b75f-4ea02bf7790d,39734515,Uber,"AI Research Scientist, Self-Driving",on_site,"Toronto, ON, Canada",2020-09-23T13:47:44.890Z,"

                                                    Here at Uber's Advanced Technologies Group (ATG), we are on a mission to bring safe, reliable self-driving transportation to everyone, everywhere. We are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, Toronto, and Boulder are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. We are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.

                                                    +

                                                    At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it's not going to happen overnight. Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.

                                                    +

                                                    Our Research team is a group of diverse researchers, engineers, and computer scientists working to develop perception algorithms for self-driving vehicles. Reliability and scalability are key drivers for us as our software must perform across a large fleet of vehicles in complex and diverse operating areas.

                                                    +

                                                    About the Role

                                                    +

                                                    We are looking for Research Scientists to join our R&D team within Uber ATG. In this role, you will build the next generation of artificial intelligence algorithms to help Uber improve the lives of millions of people worldwide. You will collaborate and exchange research ideas with our current team, which includes world-renowned scientists specializing in deep learning, computer vision, and self-driving. You will also interact with the international research community by publishing research papers and attending conferences. We value original, high-impact ideas and meticulous experimental validation. Both senior and junior scientists are encouraged to apply.

                                                    +

                                                    What You'll Do

                                                    +
                                                      +
                                                    • Design, implement, train, and optimize novel algorithms that run at extremely low-latency on self-driving Uber vehicles and various production systems
                                                    • +
                                                    • Utilize large datasets of various sources, including raw sensor data such as Lidar, using large GPU compute clusters
                                                    • +
                                                    • Collaborate cross-functionally with research and engineering teams at Uber and communicate your work to colleagues and management
                                                    • +
                                                    • Write patents and submit publications to top machine learning, computer vision, and robotics conferences
                                                    • +
                                                    +

                                                    Basic Qualifications

                                                    +
                                                      +
                                                    • A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels
                                                    • +
                                                    • Knowledge of machine learning commensurate with education/experience level and a publication record as relevant to education level
                                                    • +
                                                    +

                                                    Preferred Qualifications

                                                    +
                                                      +
                                                    • Excellent software development skills in C/C++ and/or Python
                                                    • +
                                                    • A very strong quantitative background
                                                    • +
                                                    • Machine learning areas of special interests include: CNNs, RNNs, distributed GPU computing, detection, prediction, motion planning, mapping and localization
                                                    • +
                                                    • Excellent presentation and communication skills
                                                    • +
                                                    +

                                                    About Uber

                                                    +

                                                    At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

                                                    +

                                                    We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together.

                                                    +

                                                    Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

                                                    +

                                                    If you have a disability or special need that requires accommodation, please let us know by completing this form.

                                                    ",,https://www.uber.com/global/en/careers/list/61897/,aimasters@vectorinstitute.ai,https://www.uber.com/us/en/careers/,,,2020-10-23T13:47:00.000Z,False,0,48,249,https://talenthub.vectorinstitute.ai/jobs/39734515-ai-research-scientist-self-driving-at-uber,,expired,2020-09-23T13:47:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +7406b94f-1c26-4a81-8b9e-af3f2e842b5b,39780597,Sun Life Financial,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2020-09-24T12:57:41.909Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    +

                                                    +

                                                    +

                                                    Job Description:

                                                    +

                                                    Role Summary

                                                    +

                                                    +

                                                    The direction we pursue in Advanced AI Initiative team is to extract actionable insights from structured and unstructured datasets using advanced machine learning techniques. We have various initiatives regarding the application of such techniques in different business areas. In this role, you will help us to integrate datasets, implement machine learning models and evaluate such models in real world applications. This role consists of a significant amount of research and development on speech technologies, natural language processing techniques and deep learning methods, as well as traditional machine learning solutions.

                                                    +

                                                    +

                                                    What will you do?

                                                    +
                                                      +
                                                    • Research and source relevant data from internal business systems, external free and commercial data products
                                                    • +
                                                    • Use statistical methods to test finding through prototyping and scenario testing
                                                    • +
                                                    • Use core AI and Big Data tools to solve business problems
                                                    • +
                                                    • Identify cutting edge algorithmic solutions available in AI domain that might be applicable to our business problems.
                                                    • +
                                                    • Customize the best practices in industrial techniques toward using Data Science for our projects.
                                                    • +
                                                    • Extract actionable insights from big unstructured datasets which we have access to, by using advanced machine learning methods.
                                                    • +
                                                    • Create visualizations that helps to transform data into actionable insights for non-experts
                                                    • +
                                                    • Help to develop working application prototypes
                                                    • +
                                                    • Present your work/findings to a wide audience from beginner to experts
                                                    • +
                                                    • Participate in communication with business sponsors
                                                    • +
                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +
                                                      +
                                                    • Extensive knowledge of Machine Learning and Deep Learning tools and concepts.
                                                    • +
                                                    • Experience with Automatic Speech Recognition systems, Natural Language Processing and Information Extraction tools and techniques.
                                                    • +
                                                    • Hands on experience with Python, particularly with data science related packages and visualization techniques.
                                                    • +
                                                    • Experience with Deep Learning frameworks such as Tensorflow or PyTorch
                                                    • +
                                                    • Ability to work independently with little supervision and also perform well in team projects.
                                                    • +
                                                    • Good knowledge of database concepts and SQL.
                                                    • +
                                                    • Solid production level coding skills.
                                                    • +
                                                    • Good communication skills
                                                    • +
                                                    • Strong research, problem solving and analytical skills
                                                    • +
                                                    • Ability to think outside the box
                                                    • +
                                                    +

                                                    +

                                                    Education and Experience

                                                    +
                                                      +
                                                    • University degree in computer science , computer engineering, electrical engineering, math or other relevant fields. A graduate degree (MS or PhD) is preferred.
                                                    • +
                                                    • 5+ years experience in data science, AI and related topics.
                                                    • +
                                                    +

                                                    +

                                                    What will be good to have?

                                                    +
                                                      +
                                                    • Experience with C/C++, Java, Scala, R
                                                    • +
                                                    • Experience working with SQL/Unix command-line
                                                    • +
                                                    • Published paper in AI conference such as NeurIPS, ICML, ICLR and etc.
                                                    • +
                                                    • Experience in signal processing and pattern recognition
                                                    • +
                                                    • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi
                                                    • +
                                                    +

                                                    +

                                                    What's in it for you?

                                                    +
                                                      +
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • +
                                                    • Entitlement to 4 weeks vacation, flexible benefits, pension, stock and savings program
                                                    • +
                                                    • A friendly, collaborative and inclusive culture
                                                    • +
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                    • +
                                                    +

                                                    +

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    +

                                                    +

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    +

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Machine-Learning-Engineer_JR00034583?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-10-13T14:19:00.000Z,False,0,7,86,https://talenthub.vectorinstitute.ai/jobs/39780597-machine-learning-engineer-at-sun-life-financial,,expired,2020-09-24T12:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +dc30619e-f178-4689-9491-3ca7cd833b8a,39914430,Manulife,Data Engineer - Data Operations Team,on_site,"Waterloo, ON, Canada",2020-09-28T13:39:38.809Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    +

                                                    The Data Operations team is a unique, multi-faceted team that delivers shared services as well as project work. As such we work closely with all the teams within Canada Data Office to ensure best practices, product delivery, innovation & optimization of code and infrastructure. We partner closely with the Data Architecture team to enable strategic / foundational as well as business-driven objectives. The Data Engineer will play a key role in all aspects of shared service such as building and maintaining DevOps / DataOps pipelines, as well as product delivery that requires building out data pipelines for consumption & visualization.

                                                    +

                                                    +

                                                    Responsibilities for this role include:

                                                    +

                                                    +

                                                    • Builds, codes, tests, maintain high quality software with a focus on implementing best practice and industry standards
                                                    • Participates in Agile sprints and ceremonies; partakes in good documentation and follow disciplined approaches for timely delivery & communication of project progress

                                                    +

                                                    • Initialize and manage cloud platforms especially Azure
                                                    • Works closely with data architects to implement / optimize frameworks for improved efficiencies and modernizing applications within CDO

                                                    +

                                                    • Develops & maintains DevOps & data pipelines, application framework, infrastructure for data generation. Investigate and analyze root cause/issues of the failures. Ex. data, source feeds, etc.

                                                    +

                                                    • Contribute to release management and access control management

                                                    +

                                                    • Contribute to the governing of best coding practices; identifying and implementing internal process improvements

                                                    +

                                                    • Contributes to the success of a team, demonstrates high respect for the team and sets high self-expectations

                                                    +

                                                    • Provide training, collaborate with team members; coach and be coached, participate in code reviews, share skills and methodologies to upskill CDO

                                                    Job Requirements for this role are as follows:

                                                    +


                                                    • Demonstrated 3-5 years of professional experience in related industry with experience in platform or application support and including a University degree and or master’s degree in Engineering, Computer Science or equivalent quantitative program

                                                    +

                                                    • Strong working knowledge of agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features
                                                    • Experience with implementing data quality/metadata solutions; Analytics and Business Intelligence technologies such as PowerBI, DB Visualizer, etc.

                                                    +

                                                    • Experience in writing SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments

                                                    +

                                                    • Understanding of software development lifecycle & respect for the benefits that can be gained through SDLC
                                                    • Understanding of how technology supports Manulife business strategy
                                                    • Familiar with big data technologies such as Hadoop, CDP, tools & techniques for data ingestion, data modeling & transformation: Sqoop, Nifi, Python, Spark, Snowflake, conceptual & physical data modeling
                                                    • Familiar with technologies such as: Informatica

                                                    +

                                                    • Familiar with scripting languages
                                                    • Staying abreast of developments in own technical discipline and able to recognize and translate these to own working env't
                                                    • Participates in functional demos utilizing new tech; less controls required
                                                    • Constantly learns from both success and failure, lead and follow seamlessly
                                                    • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                    • Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes
                                                    • Experiments with emerging technologies and understanding how they will impact what comes next.

                                                    +

                                                    +

                                                    This is a full time permanent role that can be worked from our Toronto and Waterloo office.

                                                    +

                                                    +

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +



                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/969781/DataEngineerDataOperationsTeam,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-10-02T21:46:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/39914430-data-engineer-data-operations-team-at-manulife,,expired,2020-09-28T13:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +56a03cee-2c48-46e9-863f-8f0fd4804e4b,39914614,BenchSci,Junior Full Stack Engineer,on_site,"Toronto, ON, Canada",2020-09-28T14:59:28.945Z,"

                                                    BenchSci exponentially increases the speed and quality of life-saving research by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime and Google’s AI fund, Gradient Ventures, BenchSci uses machine learning to diagnose pharmaceutical R&D health from hidden patterns in procurement data. A turnkey application of AI with immediate, quantifiable impact, BenchSci now optimizes reagent procurement and experimental success in 15 of the top 20 pharmaceutical companies and over 4,300 leading academic centers globally.

                                                    We are looking for a Junior Full Stack Engineer to join our growing Reagent Platform Team. You will work on BenchSci's main search product that helps scientists to find biological reagents for their experiments. Reporting into the Engineering Manager, you will work with other BenchSci engineers to solve challenging product problems, review core pieces of your code, and shape the future of scientific discovery. Although you won’t be expected to have all the answers, you will be expected to shape your own learning experience, ask for help when you need it, and always deliver high-quality results.

                                                    You Will:

                                                        -
                                                      • Scale data pipelines to allow data to go from research to platform as fast as possible
                                                      • -
                                                      • Develop data access mechanisms for downstream applications consumption
                                                      • -
                                                      • Manage sources which contain both semi-structured as well as unstructured data
                                                      • -
                                                      • Develop and apply suitable frameworks to detect data drift, and then calibrate and redeploy them to production seamlessly
                                                      • -
                                                      • Collaborate closely with other engineers to solve interesting and challenging data problems
                                                      • +
                                                      • Build out features for our Reagent Platform, from product design and architecture to launch, under the guidance of our Tech Leads and Engineering Managers
                                                      • +
                                                      • Translate customer and internal requirements to technical tasks
                                                      • +
                                                      • Provide troubleshooting analysis and resolution in a timely manner
                                                      • +
                                                      • Create dynamic code to ensure the ease of maintenance and future enhancements
                                                      • +
                                                      • Have opportunities to work both independently and in pair-programming settings
                                                      • +
                                                      • Work with a highly collaborative team
                                                      • +
                                                      • Be given an unmatched opportunity for growth and development, and to learn from a team of world-class engineers
                                                      • +
                                                      • Work on client facing projects involving some of the largest Pharmaceutical companies in the world
                                                      • +
                                                      • Manage your code by troubleshooting, debugging, and fixing issues
                                                      • +
                                                      • Design testable, scalable solutions to complex problems using the latest frameworks and tools
                                                      • +
                                                      • Feel challenged and engaged as you’re exposed to new opportunities that will require you to push yourself

                                                    You Have:

                                                        -
                                                      • 5+ years' experience working as a professional developer
                                                      • -
                                                      • Expertise in Python
                                                      • -
                                                      • Expertise with SQL
                                                      • -
                                                      • Expertise in Spark 2.x, Dataset/DataFrame API and performance tuning
                                                      • -
                                                      • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                      • -
                                                      • Experience with Pandas
                                                      • +
                                                      • 1 year of experience as a professional developer or equivalent experience in the form of internships and/or co-ops
                                                      • +
                                                      • Experience with JavaScript and a framework like React or Angular (we use React)
                                                      • +
                                                      • Working knowledge of SQL, databases, APIs and full stack solutions
                                                      • +
                                                      • Innate curiosity and a desire to learn and grow
                                                      • +
                                                      • Eagerness to share your own ideas and openness to those of others
                                                      • +
                                                      • A sense of excitement about working in a startup environment

                                                    Nice to haves, but not mandatory qualifications:

                                                    -
                                                        -
                                                      • Background in Life Science
                                                      • -
                                                      • Experience with Airflow or other workflow management systems in a distributed setup
                                                      • -
                                                      • Experience with graph data modelling and scaling graph databases
                                                      • -
                                                      • Experience with Kubernetes in production
                                                      • -
                                                      • Experience with technical design and applying architectural patterns
                                                      • -
                                                    +
                                                      • Experience with Python and Django

                                                    Our benefits and perks:

                                                      • A compensation package that includes equity options in the company
                                                      • @@ -17095,50 +16708,122 @@ ea3a0335-7e08-40d9-8fca-f5a3d94b8748,42478942,RBC,Quantitative Analyst,on_site,"
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • A great benefits package: Including health and dental
                                                    -



                                                    Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                    ",,https://jobs.lever.co/benchsci/8715b2bf-e393-47f6-a24b-f5c682624977,aimasters@vectorinstitute.ai,,,,2020-12-30T17:55:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/42713112-senior-software-engineer-data-pipeline-at-benchsci,,expired,2020-11-30T17:50:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -00284dfe-342d-4b24-a375-2b30ddf3005f,42713250,Deloitte,"SAP - Data & AI Specialist, Omnia AI",on_site,"Toronto, ON, Canada",2020-11-30T18:46:32.458Z,"

                                                    Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    Partner with clients to solve their most complex problems.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -

                                                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter? If that is you, then Omnia AI is where you want to be.

                                                    +

                                                    Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                    ",,https://jobs.lever.co/benchsci/fcaf4b68-fdd1-4d98-bd27-69f9196a118c,aimasters@vectorinstitute.ai,,,,2020-10-13T14:17:00.000Z,False,0,4,31,https://talenthub.vectorinstitute.ai/jobs/39914614-junior-full-stack-engineer-at-benchsci,,expired,2020-09-28T14:59:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, +0de6ddd5-7dff-479c-916c-0e4ee2639397,39914894,BMO Financial Group,Marketing Insights Analyst,on_site,"Toronto, ON, Canada",2020-09-28T17:34:26.480Z,"

                                                    We are looking for a talented individual to join our team in the position of Marketing Insights Analyst. The primary responsibility is to leverage customer data to deliver recommendations that drive optimal customer journeys and experiences.

                                                    +

                                                    The role will sit within the Advanced Analytics & Data Science Team in Marketing Analytics team and support Marketing across BMO FG with proactive, actionable insights for both Retail and Wealth customers. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and will be involved in all stages of projects from intake, prioritization, tracking, and presentations to stakeholders and senior executives.

                                                    +

                                                    The Marketing Analytics Insights Analyst will work with other analytics group within BMO to develop the analytics community, provide thought leadership and set best practices in analytics across BMO.

                                                    +

                                                    +

                                                    +

                                                    Key Accountabilities

                                                    +

                                                    Analytic Capabilities & Critical Thinking

                                                    +
                                                      +
                                                    • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                    • +
                                                    • Supports data collection, integration, and retention requirements for both data and customers
                                                    • +
                                                    • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                    • +
                                                    • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                    • +
                                                    • Works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable marketing outcomes and create a distinctive customer experience
                                                    • +
                                                    • Leverage customer and digital data to develop analytical self-service tools and strategic insights to help our marketing partners understand their customer behaviours to provide personalized offers
                                                    • +
                                                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.

                                                      Leadership and Relationship Management

                                                      +
                                                    • +
                                                    • Determines the best approach for eliciting, analyzing, validating, and prioritizing requests to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
                                                    • +
                                                    • Ensure effective project tracking and status reporting using Workfront project management software
                                                    • +
                                                    • Ensures effective communication with all necessary stakeholders, presents results to executives
                                                    • +
                                                    • The individual will have an end-to-end project accountability beginning with understanding the business KPIs. They will leverage their expertise to go beyond the request to address the business problem, and be able to explain technical results to a non technical audience and related them to business KPIs
                                                    • +
                                                    • Provide thought leadership on how analytics can help resolve business opportunities
                                                    • +
                                                    +

                                                    Cross Functional Relationships

                                                    +

                                                    This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders: Managers and Senior Managers within Marketing and in lines of Business, Technology and Operations

                                                    +

                                                    Knowledge & Skills

                                                    +

                                                    Knowledge

                                                    +
                                                      +
                                                    • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                    • +
                                                    • 1+ year of applicable experience.
                                                    • +
                                                    • Strong foundation in data and analysis.
                                                    • +
                                                    • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                    • +
                                                    • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
                                                    • +
                                                    +

                                                    Skills

                                                    +
                                                      +
                                                    • Experience with customer database and programming queries in SAS or SQL (Python, R, Hadoop experience an asset)
                                                    • +
                                                    • Experience in data visualization preferred, including visualization software such as Power BI, Spotfire or Tableau.
                                                    • +
                                                    • Influential skills sufficient to resolve situations where others need to be convinced of the value of preferred options or alternatives
                                                    • +
                                                    • Well-developed presentation / analytical skills sufficient to:
                                                    • +
                                                    +
                                                      +
                                                    • Provide detailed explanation and interpretation of factual and conceptual information and ideas
                                                    • +
                                                    • Creatively and precisely articulate ideas that involve interpretation, analysis and assessment
                                                        +
                                                      • Ability to interact with all levels of end users and technical resources.
                                                      • +
                                                      • Project planning and management skills sufficient to establish, prioritize and coordinate objectives for a variety of non-routine assignments or projects
                                                      • +
                                                      • Ability to plan, organize and work on multiple tasks simultaneously, and in a deadline-driven environment
                                                      • +
                                                      • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                      • +
                                                      +
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                    +
                                                      +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • +
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • +
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • +
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • +
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • +
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • +
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • +
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • +
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently on a range of complex tasks, which may include unique situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      Qualifications:

                                                      +
                                                    • +
                                                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                    • +
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    We’re here to help

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    To find out more visit us at https://bmocareers.com.

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Marketing-Insights-Analyst_R200010824,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-10-28T17:34:00.000Z,False,0,9,43,https://talenthub.vectorinstitute.ai/jobs/39914894-marketing-insights-analyst-at-bmo-financial-group,,expired,2020-09-28T17:34:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e3f9148d-2f13-486a-8a63-f63843e7107a,40195372,Deloitte,"Analyst, Financial Advisory, Analytic Insights",on_site,"Toronto, ON, Canada",2020-10-05T14:51:13.120Z,"

                                                    Partner with clients to solve their most complex problems
                                                    Be expected to share your ideas and to make them a reality.

                                                    +

                                                    Play a leading role in solving complex finance business challenges through data exploration and analytics

                                                    +

                                                    Our Mission is to Lead the Canadian market in delivering data driven insights and analytic solutions to help clients increase stakeholder value in their defining moments.

                                                    +

                                                    +

                                                    Are you a team-player who likes to collaborate and contribute to the mission and success of a broader like-minded team? Is the prospect of furthering a culture of inspiring and empowering our people, fixating on client value, and innovating toward a data/etch enable future exciting for you? Then this job is perfect for you!

                                                    What will your typical day look like?

                                                    -

                                                    As an SAP – Data and AI Specialist on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, you are driven to learn about leading edge solutions and keep up with rapid market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern SAP data-driven applications including building data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and AI services. You are enthusiastic about leveraging data for AI solutions, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development as well as marketing related areas and ecosystems. You are excited and ready to help building intelligent enterprise using AI, data-driven SAP applications

                                                    -

                                                    Specifically, in this role, you will:

                                                    -
                                                      -
                                                    • Work closely with cross functional data and analytics teams, enabling data & AI solutions driving successful business outcomes
                                                    • -
                                                    • Actively contribute in the development of AI strategy engagements, helping our clients define how to successfully manage their data and deploy AI capabilities
                                                    • -
                                                    • Provide subject matter expertise and technical leadership for data migration, conversion and load initiatives as part of transformational programs
                                                    • -
                                                    • Lead and support development of data models for AI and Analytics initiatives
                                                    • -
                                                    • Provide leadership and expertise designing, configuring and deploying SAP transformation programs, focused in leading practices around Business Intelligence, Data and Analytics capabilities leveraging industry leading data tools
                                                    • -
                                                    • Lead and support SAP & AI pursuits and practice development initiatives
                                                    • -
                                                    • Understand requirements, data sets, key success criteria, and issues which can be solved using analytics and/or data science techniques and provide accurate estimates
                                                    • -

                                                    +

                                                    As an Analyst you will work in a fast growing and challenging environment with like-minded people who are eminent in their respective technical fields such as Applied Mathematics, Computer Science, Database Optimization, Statistics, Machine Learning, Data Mining, Data Visualization, and much more. You will experience the growth of a practice totally dedicated to the art and science of using data to help clients drive business decisions related to mergers and acquisitions as well as value creation / business improvement initiatives. You will continue your professional development to expand your chosen career path while working with high profile clients who need analytics support for their top priority initiatives and strategies.
                                                    You will develop advanced analytical solutions within our analytics team, across service lines at Deloitte, and with clients in multiple industries.

                                                    About the team

                                                    -

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +

                                                    +

                                                    Deloitte’s Analytic Insights team transforms data into actionable insights - to support strategic decisions that amplify stakeholder value. The team focuses on three business areas to drive value for clients: i) Leverage analytics to generate deeper data-driven insights and optimize decisions across the M&A cycle, ii) Analytics for operational efficiency, to drive productivity and cost control, and iii) Advanced analytics to identify opportunities for profitable revenue growth. Our team is comprised of a mix of deep technical expertise in the statistical and analytics fields and business professionals with the experience to leverage insights to drive business decisions.

                                                    Enough about us, let’s talk about you

                                                    -

                                                    You are someone with:

                                                    -
                                                      -
                                                    • 5+ years’ experience with SAP Data structures (SAP ECC and/or S/4 Data Models) and tools (BW, BOBJ, HANA, BW4/HANA, Data Services) and/or other tools specifically used for data migration/integration
                                                    • -
                                                    • Experience developing data models, ETLs, views, conversion routines from multiple source systems into SAP S/4 data structures OR exporting SAP Data into Enterprise Data Warehouses/Data Lakes
                                                    • -
                                                    • Experience with SAP Data Migration, Conversion and Load processes and tools.
                                                    • -
                                                    • Functional and Technical proficiency with at least 3+ years hands-on full life-cycle complex/large scale data warehouse and ETL design and development experience, including architecting, implementing and successfully operationalizing large scale SAP data solutions in production environments using SAP BW/4HANA, Native HANA, S/4HANA or BOBJ
                                                    • -
                                                    • SAP certification(s) in Data, Analytics & Reporting components (BW, BW/4HANA, SAC, HANA, BOBJ) is a strong asset
                                                    • -
                                                    • Relevant experience with AI/ML models, automation, predictive or advanced analytics solutions are highly desirable, regardless if they were or not developed within SAP projects/technologies
                                                    • -
                                                    • Any experience with SAP AI/Automation/RPA capabilities will be extremely valuable
                                                    • -
                                                    • Canadian travel required, occasional international travel. Candidates must be able to enter the USA to work on client assignments
                                                    • -
                                                    -


                                                    +

                                                    +


                                                    • Completed undergraduate degree in a quantitative discipline (Math, Commerce, Economics, Data Science, Business, Computer Science, Engineering, etc);
                                                    • Some work experience or strong educational background in an analytical field (Business Analysis, Data Science, etc);
                                                    • An understanding of data architecture and integrating data from various sources to develop an analytical data set; some experience with visualizing data with tools such as Tableau or Power BI; some experience in machine learning with R, Python, SAS, etc;
                                                    • Understanding of business needs with a focused on solving business problems with data-driven analytical solutions;
                                                    • Superior verbal and written communication skills.

                                                    Why Deloitte?

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                      @@ -17152,1332 +16837,871 @@ ea3a0335-7e08-40d9-8fca-f5a3d94b8748,42478942,RBC,Quantitative Analyst,on_site,"


                                                      The next step is yours

                                                      Sound like The One Firm. For You?

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      -

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      ",,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-12-31T22:16:41.883Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/42713250-sap-data-ai-specialist-omnia-ai-at-deloitte,,expired,2020-11-30T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -1e8364e5-15f8-472a-9fb1-bcadac08a92a,42713283,EY,"Senior, Decision Modelling & Analytics",on_site,"Toronto, ON, Canada",2020-11-30T19:06:19.955Z,"

                                                      Competitive business today is all about making intelligent, informed decisions. As a Decision Modelling Senior, you’ll help make that happen. You'll be an important part of our diversely talented, highly experienced team and work at the forefront of high-profile transactions. Our team of approximately 190 people sits at the heart of a global Valuation, Modelling & Economics network of over 1,550 specialists who deliver high quality advice through each phase of the transaction process.

                                                      -

                                                      The Opportunity Underpinning everything is our focus on developing a talented team through investment in technical and commercial training and knowledge transfer. Within the team you will have the opportunity to take on client management responsibilities and have the potential to gain excellent career progression. As part of your role you will work on a varied portfolio of business decision modelling and transaction decision-related projects, which would include model builds to assist clients with developing business planning, forecasting and other models to meet their ongoing business needs. You will also work on model review services which are predominantly transaction decision-focused, typically project finance or buy side for potential investors as well as getting involved with the wider team on project work. We operate as a national team and many of our engagements involve multi-national clients.
                                                      Your Key Responsibilities

                                                      -

                                                      As a member of the Decision, Modelling & Analytics team you're likely to spend your days designing, building and testing integrated financial models for transaction decision related-projects or even forecasting purposes for our clients. You’ll need a strong knowledge of Excel and how it can be applied to corporate finance and be flexible and adaptable when it comes to different projects. Reviewing financial models is key too (under supervision) and you’ll arrive at preliminary conclusions to ensure we provide the best service for our clients. Knowledge of our analytical tools and techniques would also be of benefit in the role, such as data visualization software.

                                                      -

                                                      Skills And Attributes For Success

                                                      +

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      ",,https://careers.deloitte.ca/job/Toronto-Analyst%2C-Financial-Advisory%2C-Analytic-Insights-ON-M5C-3G7/677482400/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-11-04T18:19:47.089Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/40195372-analyst-financial-advisory-analytic-insights-at-deloitte,,expired,2020-10-05T14:51:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +ffd5c7b1-98b0-43f2-822b-52d2fa8950bb,40195733,Loblaw Companies Ltd.,Data Scientist - Media Measurement,on_site,"Brampton, ON, Canada",2020-10-05T17:31:14.697Z,"

                                                      The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      Why is this role important?

                                                      +

                                                      Deliver Measurement Products to Loblaw Media and Associate Partners.

                                                        -
                                                      • Strong Excel Skills - designing and building models as well as testing them; incorporating operational, tax, accounting and financing aspects across a range of sectors; developing a strong understanding of Excel and how it can be applied to corporate finance
                                                      • -
                                                      • Programming skills – Excel is not the only tools we use to build models; you’ll also have the opportunity to leverage other tools such as: Access; Alteryx; Microsoft Azure; Power BI; Python; SQL Server; Tableau; VBA
                                                      • -
                                                      • Stakeholder Management - every day you’ll interface with multiple stakeholders across different functions to identify underlying business drivers and appreciate the context of the transaction and the client's business issues
                                                      • -
                                                      • Logical thinking - you’ll apply logical thinking and creative problem-solving skills to support resolution of issues
                                                      • -
                                                      • Attention to Detail - you’ll review financial models under supervision and arrive at preliminary conclusions
                                                      • -
                                                      • Communication - communicating effectively with the engagement manager, the client, and the wider team in a concerted effort towards delivering work products of the highest standard
                                                      • -
                                                      • Support - assisting senior team members in developing new business
                                                      • +
                                                      • Develop and evolve measurement products at scale for external/internal partners
                                                      • +
                                                      • Understand current metrics and introduce new metrics to derive insights and recommendations for upcoming campaigns
                                                      • +
                                                      • Work with business stakeholders to generate insights and stories around campaign performance
                                                      • +
                                                      • Provide/present business explanation of analysis and results across the marketing funnel (top to bottom). Speak to media performance along with sales performance of campaigns activities
                                                      • +
                                                      • Function as an interpreter or an intermediary, identifying data needs and explaining the importance and use of data pertaining to measurement
                                                      • +
                                                      • Apply statistical techniques (i.e. z-statistic, P-value, anomaly reduction, etc.) to drive fact based decision making within marketing and external stakeholder groups
                                                      • +
                                                      • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                                                      • +
                                                      • Familiarity with google data studio and media metrics available
                                                      -

                                                      To qualify for the role you must have

                                                      +

                                                      +

                                                      Ensure Solid Data

                                                        -
                                                      • Proven experience in Decision Modelling, with a number of years of commercial, client-facing work experience.
                                                      • -
                                                      • Strong commercial awareness and an ability to identify the factors that drive financial performance
                                                      • -
                                                      • A passion for Decision Modelling; bring highly motivated, numerate and a logical thinker are all key to the role
                                                      • -
                                                      • Availability to travel for client projects when necessary
                                                      • +
                                                      • Identifying data issues and solutions to remedy gaps
                                                      • +
                                                      • Work with partners to extract, transform, and load data from an extremely wide range of data sources into staging datasets and ultimately into visualization tools
                                                      • +
                                                      • Cleaning and validating the data to ensure accuracy, completeness and uniformity
                                                      • +
                                                      • Flag new data via external partner, internal partners or ad-hoc asks
                                                      • +
                                                      • Consolidate and normalize data from various system (production and reporting)
                                                      • +
                                                      • Working with log level data from platforms (i.e. The Trade Desk, Google Ads Data Hub, etc.) to augment and evolve measurement offerings
                                                      -


                                                      Ideally, you’ll also have

                                                      +

                                                      +

                                                      Fashion Compelling Visuals

                                                        -
                                                      • Strong interpersonal skills and previous experience working within a similar team
                                                      • -
                                                      • Financial modelling experience
                                                      • -
                                                      • Experience with any of the following software packages: MS Access; SQL Server; Microsoft Azure; Data Visualization applications (e.g. Tableau, MS Power BI); Statistical packages (e.g. MATLAB, SPSS); VBA; C#, R or Python
                                                      • -
                                                      • CFA or CPA certification or significant progress towards these or similar certifications.
                                                      • +
                                                      • Create stimulating visualizations to drive proof points to business partners
                                                      • +
                                                      • Optimize performance of dashboards and/or develop new dashboards
                                                      • +
                                                      • Presentation and communication of findings and business impacts to internal and external clients and management via dashboards/presentation decks
                                                      -

                                                      What We Are Looking For

                                                      -

                                                      We are looking for candidates who are highly motivated, analytical, logical thinkers with a passion for decision modelling and analytics, with very strong attention to detail. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our clients’ goals. Also, being highly motivated and self-aware is essential for being able to work autonomously when required.

                                                      -

                                                      What Working at EY Offers

                                                      -

                                                      At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                      -

                                                      We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being.

                                                      -

                                                      Plus, we offer:

                                                      +

                                                      +

                                                      Qualifications:

                                                        -
                                                      • Support, coaching and feedback from some of the most engaging colleagues around
                                                      • -
                                                      • Opportunities to develop new skills and progress your career
                                                      • -
                                                      • The freedom and flexibility to handle your role in a way that’s right for you
                                                      • +
                                                      • Master’s or Bachelor’s in Data Science, Mathematics, Statistics, Economics, Engineering
                                                      • +
                                                      • 2-5 years of marketing experience with specific focus in digital marketing and/or CRM
                                                      • +
                                                      • Programming skills in various languages (Python, Spark, PySpark, SQL, R, Hive). SAS/SQL are mandatory
                                                      • +
                                                      • Experience with cloud platforms (i.e. GCP and Azure)
                                                      • +
                                                      • Strong knowledge of data management, practices and standards
                                                      • +
                                                      • Strong familiarity with direct marketing scientific principles (i.e. Predictive Models, Experiment Design, A/B testing, Significance/Sample Size calculations, Net Performance Measurements etc.)
                                                      • +
                                                      • Able to build and maintain effective working relationships with internal partners and team members
                                                      • +
                                                      • Strong oral and written communication skills
                                                      -

                                                      About EY

                                                      -

                                                      As a global leader in assurance, tax, strategy, transactions and consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                                      -

                                                      If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                      -

                                                      Join us in building a better working world. Apply now.

                                                      -

                                                      EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                                      ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/senior-decision-modelling-analytics-149756,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-01-03T20:16:17.819Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/42713283-senior-decision-modelling-analytics-at-ey,,expired,2020-11-30T19:06:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -b94d60b0-7dbb-4c89-b995-ef1c7127d01f,42713297,CIBC,Automation Integration Engineer,on_site,"Toronto, ON, Canada",2020-11-30T19:29:10.297Z,"

                                                      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                      -

                                                      At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                      -

                                                      To learn more about CIBC, please visit CIBC.com

                                                      +

                                                      How You’ll Succeed:

                                                      +

                                                      At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                      +

                                                      If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                      -

                                                      Job Description

                                                      +

                                                      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                      ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist---Media-Measurement_R2000186654,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-11-02T19:23:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/40195733-data-scientist-media-measurement-at-loblaw-companies-ltd,,expired,2020-10-05T17:31:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +7dbf6412-aeae-4e68-b160-508162cd94df,40195758,BMO Financial Group,Data Profiling and Analytics,on_site,"Toronto, ON, Canada",2020-10-05T17:39:04.442Z,"

                                                      Creates a culture where data is managed as a valuable corporate asset. Provides input to, and follows, data governance standards and processes to improve the quality of BMO data and reduce overall data risk for the designated business/group. Develops and implements data strategies, tactics, products and a curated data model to achieve business objectives. Reviews, designs and implements data governance practices and data management processes within the business/group in alignment with Enterprise Data Governance Operating Directive. Provides guidance on the interpretation of enterprise data governance policies and maintains alignment between data governance practices and the data strategy.

                                                      +

                                                      Qualifications:

                                                      +
                                                        +
                                                      • Monitors and reports on data management requirements and compliance issues, impacts and resolution status to leadership and data governance team.
                                                      • +
                                                      • Supports the assessment, root cause analysis, and formulating proposed solutions/remediation strategies.
                                                      • +
                                                      • Escalates data and compliance issues.
                                                      • +
                                                      • Conducts needs assessments, identifies gaps and provides suggestions to improve and streamline data management processes based on operational insights.
                                                      • +
                                                      • Documents and maintains operational procedures and processes.
                                                      • +
                                                      • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                      • +
                                                      • Develops stakeholder communications and training in support of data management process implementation.
                                                      • +
                                                      • Supports the resolution of data issues by coordinating stakeholders in the information chain.
                                                      • +
                                                      • Performs quality assurance activities to ensure handling, storage, and collection of data complies with Bank Policy and regulatory requirements.
                                                      • +
                                                      • Supports the management of BMO’s data as a key asset that facilitates effective decision making.
                                                      • +
                                                      • Analyzes structured and unstructued data to support the design and development of a business / group curated data model.
                                                      • +
                                                      • Contributes to the development of business/group data strategies and data governance policies, procedures, and processes.
                                                      • +
                                                      • Develops data solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                      • +
                                                      • Provides advice and guidance to assigned business/group on implementation of data solutions.
                                                      • +
                                                      • Identifies and implements the optimum means to collect, process, analyze and report on information and ensure ongoing accuracy, integrity and security.
                                                      • +
                                                      • Participates in the timely resolution of operating/technical problems or manages escalation with other BMO technical support groups.
                                                      • +
                                                      • Assists in the identification of change impacts through requirements gathering, mapping and documenting current and proposed processes.
                                                      • +
                                                      • Provides support to projects and/or manages operational changes including supporting Technology with the validation and testing of systems.
                                                      • +
                                                      • Provides support on data management process implementation and sustainment activities to ensure stakeholder awareness and adoption of data governance in work including but not limited to development of business tools and end use procedure documentation.
                                                      • +
                                                      • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                      • +
                                                      • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                      • +
                                                      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                      • +
                                                      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                      • +
                                                      • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                      • +
                                                      • Works independently on a range of complex tasks, which may include unique situations.
                                                      • +
                                                      • Broader work or accountabilities may be assigned as needed.
                                                      • +
                                                      • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                      • +
                                                      • Skilled in statistical analysis environments (e.g. R, MATLAB, SPSS or SAS).
                                                      • +
                                                      • Skilled in working with BI tools such as Tableau and Microstrategy, relational databases and Hadoop-based data mining frameworks.
                                                      • +
                                                      • Knowledge in working with SQL, Python, Java and C/C++.
                                                      • +
                                                      • Technical proficiency gained through education and/or business experience.
                                                      • +
                                                      • Verbal & written communication skills - In-depth.
                                                      • +
                                                      • Collaboration & team skills - In-depth.
                                                      • +
                                                      • Analytical and problem solving skills - In-depth.
                                                      • +
                                                      • Influence skills - In-depth.
                                                      • +
                                                      • Data driven decision making - In-depth.
                                                      • +

                                                      -

                                                      What You’ll Be Doing

                                                      -

                                                      As a member of CIBC’s Automation Integration team, you’ll play a crucial role in increasing our capability in DevOps for our Infrastructure products. You will be joining a team of individuals that are passionate about innovation and solving business problems by using automation. You will collaborate with product owners to understand product specific priorities and execute on plans. You will develop and drive continuous integration to achieve delivery strategies and work with the Automation Platform team in support of DevOps automation framework and environments. You will provide technical leadership, standards and best practices to Technology teams during design, build, configuration, testing, implementation and maintenance phases of initiatives/projects involving automation and level 3 support to troubleshoot malfunctions of hardware, software applications, and security systems to resolve operational issues and restore services

                                                      +

                                                      We’re here to help

                                                      -

                                                      How You’ll Succeed

                                                      +

                                                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                      +

                                                      +

                                                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                      +

                                                      +

                                                      To find out more visit us at https://bmocareers.com.

                                                      +

                                                      +

                                                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Profling-and-Analytics_R200003031,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-10-26T15:15:00.000Z,False,0,6,61,https://talenthub.vectorinstitute.ai/jobs/40195758-data-profiling-and-analytics-at-bmo-financial-group,,expired,2020-10-05T17:39:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +00a7a773-d086-4bff-9894-d4bd3075b6d9,40529773,Layer 6,Sr. Machine Learning Product Engineer ☑️,on_site,"Toronto, ON, Canada",2020-10-13T13:46:14.552Z,"

                                                      The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                      +

                                                      We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                      +

                                                      The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                      +

                                                      What are your main responsibilities?

                                                        -
                                                      • -Leadership & Communication – Collaborate with senior leaders across the company and make informed recommendations to enhance automation related solutions. Weigh business needs against technology offerings, security concerns and provide recommendations to improve automation, which are practical and achievable
                                                      • -
                                                      • -Governance – Proactively contribute to governance initiatives in the development of company policies, audit requirements etc. Provide technical or business guidance to clients within and outside your own department.
                                                      • -
                                                      • -Engineering – Lead evaluation, selection, design and implementation of new and emerging products and techniques; support the development of business/technology proposals by estimating implementation costs and evaluating options; provide comprehensive senior level technical consulting to other IT senior management and senior technical teams; provide subject matter expertise on specific existing technologies. Manage the ongoing vitality of the technology throughout its lifecycle.
                                                      • -
                                                      • -Automation - Create test automation frameworks with continuous integration and continuous deployment to production. Engage resources within CIBC or CIBC partners to understand manual tasks to translate and break down into smaller work packages to be addressed during SCRUM sprints.
                                                      • +
                                                      • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                      • +
                                                      • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                      • +
                                                      • Go-to person for data and model delivery within Layer 6
                                                      • +
                                                      • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                                                      -

                                                      Who You Are

                                                      +

                                                      Required Technical Skills

                                                        -
                                                      • -You can demonstrate experience in: design, implementation and support of technologies and technology-based solutions dealing in automation. You have a clear understanding of application/product lifecycle. You have the knowledge and understanding of marketplace experience, developments and trends as the relate to automation. You are skilling with the following scripting languages and utilities: Ansible, Chef, Puppet, PowerShell, Python, PERL, and BASH. You experience using GitHub, Artifactory, and Jenkins. You are well versed in DevOps best practices. You are experienced in building and configuring infrastructure, databases or middleware products such as VMware, Windows, Linux, Oracle, SQL or JBoss. It is an asset if you have experience with Playbook conversion to Ansible, ServiceNow integration to Ansible, or are familiar with cloud technologies such as Kubernetes, Docker and OpenShift.
                                                      • -
                                                      • -You have strong knowledge of: IT Standards, Policies and Procedures and have the ability to use and administer the organization's technology practices, standards and procedures appropriately to diverse situations
                                                      • -
                                                      • -You act like an owner. You thrive when you're empowered to take the lead, go above and beyond, and deliver results
                                                      • -
                                                      • -You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                      • -
                                                      • -You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what's possible
                                                      • -
                                                      • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way
                                                      • -
                                                      • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                      • -
                                                      • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                      • +
                                                      • BSc+ in Computer Science, Math, Physics, or similar
                                                      • +
                                                      • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                      • +
                                                      • 3+ years experience of building machine learning production system
                                                      • +
                                                      • Expert level skills in system design
                                                      • +
                                                      • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                      • +
                                                      • Strong knowledge of Machine Learning and Deep Learning
                                                      • +
                                                      • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                      • +
                                                      • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                      • +
                                                      • Strong experience with Scala and Java 8

                                                      -

                                                      What CIBC Offers

                                                      +

                                                      Nice to have Skills

                                                      +
                                                      • C++, Python experience

                                                      -

                                                      At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      +

                                                      Benefits

                                                        -
                                                      • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                      • -
                                                      • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                      • -
                                                      • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning
                                                      • -
                                                      • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                      • +
                                                      • Entrepreneurial and inclusive culture
                                                      • +
                                                      • Excellent health coverage and pension plan
                                                      • +
                                                      • Four weeks paid vacation
                                                      • +
                                                      • Catered lunches twice a week over machine learning talks
                                                      +

                                                      ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-11-14T12:38:00.000Z,False,1,0,28,https://talenthub.vectorinstitute.ai/jobs/40529773-sr-machine-learning-product-engineer-at-layer-6,,expired,2020-10-13T13:46:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +c9bf324f-e554-4ee4-a1e0-6022c2e85b70,40530872,Loblaw Companies Ltd.,Cloud Data Scientist,on_site,"Brampton, ON, Canada",2020-10-13T18:52:03.620Z,"

                                                      Location:

                                                      +

                                                      1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                      -

                                                      What You Need to Know

                                                      +

                                                      The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      Why is this role important?

                                                      +

                                                      We are seeking a data scientist to help build robust cloud-based data science solutions as they pertain to Loblaw Media, which is the all-encompasing Media arm of the company. A great deal of exciting work is underway as it relates to understanding and modeling customer data to do things like build customer recommendation models, robust classification models, and advanced clustering and segmentation models. Because of the very large volume of data at hand, the data scientist will need to be able to use cloud solutions like Google Cloud Platform (GCP) and Databricks to build out the aforementioned solutions at scale.

                                                      +

                                                      +

                                                      Deliver Data Scientifics Products to Loblaw Media and associate Partners.

                                                        -
                                                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                      • -
                                                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                      • -
                                                      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Automation-Integration-Engineer_2014278,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2020-12-07T17:16:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/42713297-automation-integration-engineer-at-cibc,,expired,2020-11-30T19:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -483f4e47-775a-4f7a-90a8-525c9c515cb5,42713334,BMO Financial Group,Digital Analytics Implementation Specialist,on_site,"Toronto, ON, Canada",2020-11-30T19:48:32.460Z,"

                                                      The Digital Analytics Implementation Specialist will implement measurement capabilities across BMO’s digital properties to drive deep insights of performance and customer behaviours. Provides advice on the configuration, functionality, applicability, and usability for technology solutions relating to data management, analytics, and visualization

                                                      +
                                                    • Develop ML models at scale for external partners leveraging data from across the enterprise.
                                                    • +
                                                    • Introduce new opportunities for machine learning and/or advanced AI applications.
                                                    • +
                                                    • Apply statistical techniques (i.e. supervised / unsupervised) to drive fact based decision making within marketing and external stakeholder groups.
                                                    • +
                                                    • Work with business stakeholders to lead audience targeting for campaigns.
                                                    • +
                                                    • Function as an interpreter or an intermediary, identifying data needs and explaining the importance of driving appropriate ML methodologies for pre-campaign activities.
                                                    • +
                                                    • Work to fulfill ad-hoc requests such as pulling data and providing it to the functional business teams.
                                                    • +
                                                    • Provide/present business rational of analysis’s and how ML techniques help achieve goals.
                                                    • +
                                                    +

                                                    +

                                                    Ensure Solid data

                                                      -
                                                    • Implement, maintain and recommends analytics solutions for digital marketing analytics, reporting and analysis.
                                                    • -
                                                    • Defines business requirements for analytics and reporting to ensure data insights inform business decision making.
                                                    • -
                                                    • Work closely with development teams to ensure that requirements and data layer has all the elements properly exposed in order to execute analytics tags.
                                                    • -
                                                    • Maintains up-to-date analytics implementation documentation for the data layer, analytics tracking. tags, advertising vendor tags, and automated tag audit libraries.
                                                    • -
                                                    • Ensures data alignment across multiple reporting suites (eVars, props, events).
                                                    • -
                                                    • Actively participates in the design, implementation, and management of new analytics and reporting solutions and provides advice and guidance to assigned business / group on implementation of solutions ensuring alignment of business needs and data requirements between stakeholders.
                                                    • -
                                                    • Develop relationships with key partners across the enterprise and acts as the subject matter expert for internal/external stakeholders.to refine, prioritize, and optimize the digital analytics implementation roadmap.
                                                    • -
                                                    • Develops and manages implementation projects and their properties in tag managers; designs initiatives to improve processes, analysis and reporting (e.g., data layer, JavaScript libraries, etc).
                                                    • -
                                                    • Automates validation tests to improve quality and efficiency of the existing internal validation processes.
                                                    • -
                                                    • Builds effective relationships with internal / external stakeholders.
                                                    • -
                                                    • Maintains tagging libraries that support detailed digital optimization.
                                                    • -
                                                    • Documents and maintains analytical and reporting operational procedures and processes.
                                                    • +
                                                    • Flag new data via external partner, internal partners or adhoc asks.
                                                    • +
                                                    • Filter, tag, join, parse, and normalize data from various system (production and reporting).
                                                    • +
                                                    • Cleaning and validating the data to ensure accuracy, completeness and uniformity.
                                                    • +
                                                    • Identifying data issues (via anomaly detection methods or other) and solutions to remedy gaps.
                                                    • +
                                                    • Explore/perform “what if” analysis to understand potential data and process gaps pertaining to the data.
                                                    • +
                                                    • Work with partners to extract, transform, and load data from an extremely wide field of data sources into staging datasets and ultimately into visualization tools

                                                    -

                                                    Qualifications:

                                                    +

                                                    Qualifications:

                                                      -
                                                    • 3+ years’ experience in digital analytics implementations through utilization of tag management tools using Adobe and Google analytics.
                                                    • -
                                                    • Post-graduate degree in business, engineering, computer science or related discipline.
                                                    • -
                                                    • Expert knowledge with core JavaScript, HTML, CSS and modern framework (AngularJS, React, etc.).
                                                    • -
                                                    • Experience with data preparation and data analysis.
                                                    • -
                                                    • Solid knowledge of testing tools “ObservePoint “and “Charles Web Debugging Proxy”.
                                                    • -
                                                    • Experience with Adobe Target and Adobe Audience Manager.
                                                    • -
                                                    • Strong knowledge of Adobe Mobile Services, Adobe Mobile SDK Tools.
                                                    • -
                                                    • Experience with digital measurement tools across multiple channels (e.g. web, social media, mobile, email, search).
                                                    • -
                                                    • Experience with SQL Queries and Adobe Experience Cloud APIs.
                                                    • -
                                                    • Experience using JIRA, Teams, Confluence.
                                                    • -
                                                    • Excellent verbal & written communication skills.
                                                    • -
                                                    • Excellent Analytical and problem-solving skills.
                                                    • -
                                                    • Collaboration & team skills; with a focus on cross-group collaboration.
                                                    • -
                                                    • Exceptional organizational and time management skills and a demonstrated ability to prioritize work in a demanding environment.
                                                    • -
                                                    • Excellent data driven decision making.
                                                    • +
                                                    • Master’s degree or higher in a quantitative discipline (Mathematics, Statistics, Physics, Biology, Environmental Science, Astrophysics, Chemistry, Computer Science, Engineering, Economics/Econometrics) required
                                                    • +
                                                    • 3-7 years of analytics experience with specific focus in marketing and/or CRM
                                                    • +
                                                    • Programming skills in various languages: R, Spark/PySpark/SparkR (in particular, the candidate must be thoroughly familiar with MLLib), Python, SQL, R, Hive.
                                                    • +
                                                    • Strong applied understanding of Machine learning and data mining principles (i.e. Supervised learning, Clustering, dimensionality reduction, anomaly detection, etc.)
                                                    • +
                                                    • The candidate must have knowledge and experience in the area of scaling data science solutions through parallelization and cloud implementation, i.e., implementing various machine learning algorithms on cloud-based platforms such as GCP and Databricks.
                                                    • +
                                                    • Dynamic problem solver and the ability to work independently

                                                    -

                                                    We’re here to help

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    +

                                                    Employment Type:

                                                    +

                                                    Full time

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Analytics-Implementation-Specialist_R200014327,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-12-31T22:21:00.000Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/42713334-digital-analytics-implementation-specialist-at-bmo-financial-group,,expired,2020-11-30T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d9713ead-c447-40a8-b219-2c4a9ba54144,42714805,BenchSci,Staff Engineer - Data,on_site,"Toronto, Ontario /",2020-12-01T06:31:03.466Z,"
                                                    -
                                                    BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                    -

                                                    -
                                                    We are looking for a Staff Engineer to join our growing Engineering Team. In this role, you will work closely with key technical partners across the organization to ensure that BenchSci’s technical infrastructure and codebase will be able to support long-term growth. Reporting to the VP of Engineering, you will provide technical leadership across several functional areas within the team, lead complex projects, participate in roadmap and project planning, and actively contribute to BenchSci's data engineering and architecture initiatives. The Staff Engineer will help foster the growth and development of other individual contributors, while also playing a key role in helping us scale as we continue to make a long-term impact on scientific discovery.
                                                    -
                                                    -

                                                    You Will:

                                                    -
                                                        -
                                                      • Work with multiple teams working on key customer features and our own significant internal development projects
                                                      • -
                                                      • Contribute to setting technical and architectural direction for our Data Engineering teams with a focus on expanding the scope of our products and our ability to make life-scientists more effective
                                                      • -
                                                      • Guide the architecture of BenchSci in order to help us handle data more securely and accurately
                                                      • -
                                                      • Decouple work done by teams to more readily allow for more independent work and smaller feature releases
                                                      • -
                                                      • Be involved in all aspects of software development, working to create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology (this can range from setting high-level technical direction down to implementation)
                                                      • -
                                                      • Be an inspiring mentor and coach to other engineers
                                                      • -
                                                      • Act as a champion and advocate for the company and its engineering teams through various channels
                                                      • -
                                                    -
                                                    -

                                                    You Have:

                                                    -
                                                        -
                                                      • A minimum of 8 years of professional development experience, with 2 years at a Staff level
                                                      • -
                                                      • Expertise in data management practices, including approaches to capturing provenance, versioning, and disaster recovery
                                                      • -
                                                      • Experience working with secure data, including compliance with regulations like HIPAA and GDPR
                                                      • -
                                                      • Expertise with data processing engines such as Apache Beam
                                                      • -
                                                      • Experience working with SaaS products in a fast-paced Agile environment
                                                      • -
                                                      • The ability to drive the engineering team towards the decisions they make while minimizing friction
                                                      • -
                                                      • The ability to translate business concerns into technical implementations
                                                      • -
                                                      • Experience with coaching and mentoring technical teams
                                                      • -
                                                      • Experience with big data
                                                      • -
                                                      • Experience communicating trade-offs in approaches to security, speed to ship, and performance
                                                      • -
                                                      • Domain expertise in either machine learning, distributed systems, data engineering, or cloud infrastructure
                                                      • -
                                                      • Experience providing feedback to other individual contributors while showing a sense of empathy, tact, thoughtfulness, and respect
                                                      • -
                                                    -
                                                    -

                                                    Nice to haves, but not mandatory qualifications:

                                                    -
                                                      • Successful delivery of at least one major project in a domain space that is relevant to BenchSci. Relevant domain areas may include, but are not limited to: machine learning, information retrieval, or distributed systems
                                                    -
                                                    -

                                                    Our benefits and perks:

                                                    -
                                                        -
                                                      • A compensation package that includes equity options in the company
                                                      • -
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • -
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                      • -
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • -
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • -
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • -
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • -
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • -
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • -
                                                      • A great benefits package: Including health and dental
                                                      • -
                                                    -
                                                    -
                                                    Here at BenchSci, these are our core values:
                                                    -
                                                    -Focused: We focus on what will drive the greatest impact at all times.
                                                    -
                                                    -Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                                    -
                                                    -Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                                    -
                                                    -Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                                    -
                                                    -Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                                    -

                                                    -
                                                    Diversity, Equity and Inclusion:
                                                    -
                                                    BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                                    -

                                                    -
                                                    Accessibility Accommodations:
                                                    -
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    -
                                                    ",,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-01-03T20:24:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/42714805-staff-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4,expired,2020-12-04T06:31:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -85fe4301-3b61-45cf-a546-ffbb10b6d52b,42714935,Deloitte,"Senior Consultant, Data Governance (Collibra), Omnia AI Toronto",on_site,"Toronto, Ontario, Canada",2020-12-01T06:32:27.006Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto; Vancouver

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    -
                                                    -
                                                    -What will your typical day look like?

                                                    -
                                                    -

                                                    As a Data Governance (Collibra) Senior Consultant, you will play an active role throughout the entire engagement cycle, specializing in the management and governance of data solutions including data governance, data quality, data classification, data lineage and data cataloguing. Specifically, you will:

                                                    -
                                                    • Build data governance operating models and implement data governance solutions based on industry-standard governance frameworks
                                                    • Work with cross-functional stakeholders including executives, IT representatives, business leaders and the analytics/AI user community to understand data challenges and identify solutions for remediation
                                                    • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -About the team

                                                    -
                                                    -

                                                    Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    As a member of our Data & Analytics Modernization team within our Omnia AI practice, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -Enough about us, let’s talk about you

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • 3+ years implementation experience with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, governance/quality metrics development & reporting, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management
                                                    • 3+ years implementation experience with data governance technologies such as Collibra, Informatica AXON, Alation and/or IBM IGC
                                                    • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements, ideally using Agile development methods in data-oriented projects
                                                    • Experience in a data stewardship role supporting business areas with activities that include critical data element identification, data quality rule definition, metadata management, business definition development, data lineage identification, implementation of data security, encryption, PII/PSI/PHI, GDPR and/or PIPEDA legislation, identity and access management across sources and environments, communication to end-users,
                                                    • Solid understanding of data architecture, data warehousing, data lake and cloud architectures including its implications on governance policies and procedures and access management, combined with a Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired.
                                                    • -
                                                    -

                                                    If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                    -

                                                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Data-Governance-%28Collibra%29%2C-Omnia-AI-Toronto-ON-M5C-3G7/689243200/,feed-importer@jobboard.io,,,,2021-01-20T15:34:24.304Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/42714935-senior-consultant-data-governance-collibra-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Data-Governance-%28Collibra%29%2C-Omnia-AI-Toronto-ON-M5C-3G7/689243200/,expired,2020-12-01T06:32:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -cc7ad988-a23b-41c0-ba03-0262f6613b73,42715123,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, Ontario, Canada",2020-12-01T06:41:43.658Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Ottawa, Ontario, Canada
                                                    All Available Locations: Montreal; Ottawa; Toronto

                                                    -

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                    Be encouraged to deepen your technical skills…whatever those may be.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                                    -
                                                    -
                                                    -
                                                    -What will your typical day look like?

                                                    -

                                                    Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                                    -
                                                    -
                                                    -
                                                    -About the team

                                                    -

                                                    Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                                    -
                                                    -
                                                    -
                                                    -Enough about us, let’s talk about you

                                                    -
                                                    -

                                                    You are someone who has:

                                                    -
                                                    • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                                    • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                                    • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                                    • 1+ years of hands-on experience with data management concepts
                                                    • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                                    • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,feed-importer@jobboard.io,,,,2021-01-27T15:07:10.043Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/42715123-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,expired,2020-12-01T06:41:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, -07a13b16-3c88-4797-8d8c-90a8d85c0e7c,42715136,Deloitte,"SAP - Data & AI Specialist, Omnia AI",on_site,"Toronto, Ontario, Canada",2020-12-01T06:42:04.334Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    Partner with clients to solve their most complex problems.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter? If that is you, then Omnia AI is where you want to be.

                                                    -
                                                    -
                                                    -
                                                    -What will your typical day look like?

                                                    -
                                                    -

                                                    As an SAP – Data and AI Specialist on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, you are driven to learn about leading edge solutions and keep up with rapid market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern SAP data-driven applications including building data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and AI services. You are enthusiastic about leveraging data for AI solutions, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development as well as marketing related areas and ecosystems. You are excited and ready to help building intelligent enterprise using AI, data-driven SAP applications

                                                    -

                                                    Specifically, in this role, you will:

                                                    -
                                                    • Work closely with cross functional data and analytics teams, enabling data & AI solutions driving successful business outcomes
                                                    • Actively contribute in the development of AI strategy engagements, helping our clients define how to successfully manage their data and deploy AI capabilities
                                                    • Provide subject matter expertise and technical leadership for data migration, conversion and load initiatives as part of transformational programs
                                                    • Lead and support development of data models for AI and Analytics initiatives
                                                    • Provide leadership and expertise designing, configuring and deploying SAP transformation programs, focused in leading practices around Business Intelligence, Data and Analytics capabilities leveraging industry leading data tools
                                                    • Lead and support SAP & AI pursuits and practice development initiatives
                                                    • Understand requirements, data sets, key success criteria, and issues which can be solved using analytics and/or data science techniques and provide accurate estimates
                                                    • -
                                                    -

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -About the team

                                                    -
                                                    -

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -Enough about us, let’s talk about you

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • 5+ years’ experience with SAP Data structures (SAP ECC and/or S/4 Data Models) and tools (BW, BOBJ, HANA, BW4/HANA, Data Services) and/or other tools specifically used for data migration/integration
                                                    • Experience developing data models, ETLs, views, conversion routines from multiple source systems into SAP S/4 data structures OR exporting SAP Data into Enterprise Data Warehouses/Data Lakes
                                                    • Experience with SAP Data Migration, Conversion and Load processes and tools.
                                                    • Functional and Technical proficiency with at least 3+ years hands-on full life-cycle complex/large scale data warehouse and ETL design and development experience, including architecting, implementing and successfully operationalizing large scale SAP data solutions in production environments using SAP BW/4HANA, Native HANA, S/4HANA or BOBJ
                                                    • SAP certification(s) in Data, Analytics & Reporting components (BW, BW/4HANA, SAC, HANA, BOBJ) is a strong asset
                                                    • Relevant experience with AI/ML models, automation, predictive or advanced analytics solutions are highly desirable, regardless if they were or not developed within SAP projects/technologies
                                                    • Any experience with SAP AI/Automation/RPA capabilities will be extremely valuable
                                                    • Canadian travel required, occasional international travel. Candidates must be able to enter the USA to work on client assignments
                                                    • -
                                                    -


                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,feed-importer@jobboard.io,,,,2021-02-03T14:38:38.101Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/42715136-sap-data-ai-specialist-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,expired,2020-12-01T06:42:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -cc081ba7-142e-4763-be50-3f8029d6bcbe,42973570,Accenture,Principal Data Scientist,on_site,"Ontario - Ottawa,Ontario - Toronto",2020-12-03T06:21:43.039Z,"

                                                    Job Description

                                                    -
                                                    -

                                                    Job Description – Principal Data Scientist

                                                    -

                                                    Location: Montreal, Ottawa & Toronto

                                                    +

                                                    Type of Role:

                                                    +

                                                    Regular

                                                    -

                                                    Job Description Overview

                                                    -

                                                    We Are:

                                                    -

                                                    Thepeople who love using data to tell a story. We’re also the world’s largest teamof data scientists, data engineers, and experts in machine learning and AI. Agreat day for us? Solving big problems using the latest tech, serious brainpower, and deep knowledge of just about every industry. We believe a mix ofdata, analytics, automation, and responsible AI can do almost anything—sparkdigital metamorphoses, widen the range of what humans can do, and breathe lifeinto smart products and services. Want to join our crew of sharp analyticalminds? Visit us here to find out more about AppliedIntelligence.

                                                    -

                                                    You Are:

                                                    -

                                                    Anexpert at solving real-world challenges with data, analytics, AI/ML andcreativity. Yes, creativity! You know the theory and you have hands-onexpertise from studies, experience and/or self-taught projects. And you’re thespark, enabling your team to help clients scale data into value.

                                                    -

                                                    WhatYou’ll Do:

                                                    -
                                                    • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients

                                                      -
                                                    • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                                    • -
                                                    • Stayabreast of AI/ML technologies, academic researches & hands-on techniques
                                                    • -
                                                    • Lead small teams to develop innovative solutions for clientsacross functions & industries
                                                    • -
                                                    -
                                                    -
                                                    -

                                                    -
                                                    READ MORE OF THE JOB DESCRIPTION

                                                    -
                                                    -

                                                    Qualifications

                                                    -

                                                    -

                                                    What We’reLooking For:

                                                    -

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Data-Scientist_R2000187297,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-11-13T12:46:50.815Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/40530872-cloud-data-scientist-at-loblaw-companies-ltd,,expired,2020-10-13T18:52:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, +beba4dac-2902-41df-8600-ed54095db413,40795672,TD Bank Group,Data Engineer,on_site,"Toronto, ON, Canada",2020-10-19T19:08:43.716Z,"

                                                    Company Overview

                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    +

                                                    Department Overview

                                                    +

                                                    Fraud Risk Management (FRM) is an enterprise-level organization within TD Bank Group recently created in alignment with the 3 Lines of Defense model of risk management. The FRM Group is responsible for “2nd line risk oversight” of Lines of Business and Corporate Functions (LOBs) with exposure to Fraud Risk(s) as well as development and implementation of enterprise strategies, supported by Policies, Standards, Guidelines & Fraud Risk Programs, to appropriately mitigate Fraud

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    For this role, we’re counting on your technical data skills and experience to forge our path moving forward. As an experienced Data Engineer you’ll work in close proximity with others across the bank in collaboration with our team’s mandate within the Fraud Risk Management organization. You have an interest in understanding and exploring fraud risk and developing, constructing and maintaining data processing systems can enable analytics, reporting and insights to drive better business decisioning. You’ll play a crucial role on cross functional teams of data scientists, data analysts, BI analysts, and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has and cannot wait to help build the pipelines and architecture that will be the backbone for analytics solutions and visualizations.

                                                    +

                                                    As a Data Engineer, these are the essential qualifications of this role:

                                                      -
                                                    • At least 5years embracing challenges with data science lifecycle in enterprise setting
                                                    • -
                                                    • At least 3years developing & implementing AI/ML models, including professionalexperience with recommender engine, natural language processing, optimization& operational research, computer vision and deep & classical machine learning
                                                    • -
                                                    • At least 3 years working with data science tools: e.g. Python, Plotly, Flask& Git
                                                    • -
                                                    • At least 3years designing & operating tools & services in cloud environments:e.g. GCP, Azure, AWS & Databricks
                                                    • -
                                                    • At least 3years orchestrating and maintaining AI/ML models in a production environmentusing MLOps/DevOps/DataOps tools: e.g. Docker, Kubernetes, MLFlow, Jenkins& CircleCI
                                                    • -
                                                    • At least 5years storytelling with data and communicating findings to a non-technicalaudience
                                                    • -
                                                    • At least 2years managing a data science team and providing technical leadership
                                                    • +
                                                    • Gather, review, analyze, profile, validate, and map data to meet reporting, analytics and insights needs
                                                    • +
                                                    • Develop data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
                                                    • +
                                                    • Support data solutions, applications, platforms, and/or tools that are leveraged across FRM and by FRM DAR’s data experts (e.g., Data Scientists, Business Insights & Analytics, etc.)
                                                    • +
                                                    • Evaluates, compares and improves the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches.
                                                    • +
                                                    • Responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by partner data roles
                                                    • +
                                                    • Support data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
                                                    • +
                                                    • Support business teams in the use and understanding of the data and reporting solutions
                                                    • +
                                                    • Develop data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
                                                    • +
                                                    • Drive data-centric solution development focusing on complex data integration
                                                    • +
                                                    • Adopt both enterprise (strategic) and tactical data models in alignment with direction from the OCDO and other data & analytics functional groups
                                                    • +
                                                    • Liase with business partners and FRM leadership to solicit, analyze, and understand data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions and manage project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                    • +
                                                    • Define, build and manage data dictionary / catalog for respective data platforms, systems / servers /applications
                                                    • +
                                                    • Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
                                                    • +
                                                    • Runs quality assurance reports and resolves data integrity issues to ensure accurate reporting and data records
                                                    • +
                                                    • Develop solutions and recommendations for improving data integrity issues, analyze data issues and works with development teams for problem resolutions
                                                    • +
                                                    • Understand data initiatives and capabilities, data governance principles and how they apply to the business segment
                                                    • +
                                                    • Ensure business data is maintained in compliance with enterprise data standards, policies and guidelines
                                                    +

                                                    +

                                                    -

                                                    -

                                                    BonusPoint If:

                                                    -

                                                    +

                                                    Requirements

                                                    +


                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes that will benefit the enterprise by enabling the reporting and analysis of vast amounts of past and present data.
                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                    +

                                                    Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                      -
                                                    • Graduatedegree in data science or related disciplines: e.g. Applied Mathematics, Statistics,Computer Science, Economics, Engineering and Physics
                                                    • -
                                                    • Ability to build,manage and foster a team-oriented environment, working creatively andanalytically in a problem-solving environment
                                                    • -
                                                    • A blend ofdata science capability, industry and consulting expertise
                                                    • -
                                                    • Drive to learn and master new technologies and techniques
                                                    • +
                                                    • Undergraduate Degree
                                                    • +
                                                    • Masters Degree or Technical Certificate in Data Analytics, Computer Engineering or relevant field would be an asset
                                                    • +
                                                    • 5-7 years relevant experience
                                                    • +
                                                    • Advanced knowledge with industry data tools: R, Python, SQL, NoSQL, SQL Server MS & Data Tools (SSIS, SSRS, SSAS), Hadoop, Oracle DB, IBM UDB2, Neteeza, Talend ETL, Spark, Scala, Trifacta, Apache HDFS, Parquet, Impala, Hive, Oozie, Tableau, Microsoft Office Suite (Excel, Access, etc)
                                                    • +
                                                    • Ability to take high-level conceptual questions/ideas to solution & recommendation by completing a thorough review & analysis to understand and develop solutions in alignment with FRM DAR’s data roadmap (long and short-term objectives)
                                                    • +
                                                    • Self-starter who is motivated and can work independently with large amounts of data to review, profile and develop data processes
                                                    • +
                                                    • Expertise in working effectively in teams – requires a track record of working cross-organizationally and with multiple stakeholders at varying levels
                                                    • +
                                                    • Eager to learn and develop technical and soft skills, the FRM organization is growing and maturing and you should be excited to do the same
                                                    • +
                                                    • Ability to discuss highly technical data processes and operations with non-data partners and peers
                                                    • +
                                                    • +

                                                    -

                                                    -

                                                    We are a global collective of innovatorsapplying the New every day to improve the way the world works and lives. Helpus show the world what’s possible as you partner with clients to unlockhidden value and deliver innovative solutions. Empowered with innovativetools, continuous learning and a global community of diverse talent andperspectives, we drive success in a new business architecture that disruptsconventional practices. Our expertise spans 40+ industries across 120+countries and impacts millions of lives every day. We turn ideas intoreality. -

                                                    To learn more about Accenture, and how you willbe challenged and inspired from Day 1, please visit our website at accenture.ca/careers

                                                    -

                                                    It is currently our objective to assign ourpeople to work near where they live. However, given the nature of our businessand our need to serve our clients our employees must be available to travelwhen needed.

                                                    +

                                                    Additional Information

                                                    +

                                                    #LI-POST

                                                    -

                                                    Accenture does not discriminate on thebasis of race, religion, color, sex, age, non-disqualifying physical ormental disability, national origin, sexual orientation, gender identity orexpression, or any other basis covered by local law. Accenture iscommitted to providing employment opportunities to current or former members ofthe armed forces.

                                                    +

                                                    Hours

                                                    +

                                                    37.5

                                                    -

                                                    We are committed to employment equity. Weencourage all people, including women, visible minorities, persons withdisabilities and persons of aboriginal descent to apply.

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    ",,https://jobs.td.com/en-CA/jobs/11693370/data-engineer-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-10-26T15:01:00.000Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/40795672-data-engineer-at-td-bank-group,,expired,2020-10-19T19:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +31507a97-ce9e-4c86-aa51-f50d4f866c59,40795684,Loblaw Companies Ltd.,"CO-OP, Data Science Analyst, Finance Analytics",on_site,"Brampton, ON, Canada",2020-10-19T19:22:05.912Z,"

                                                    Location:

                                                    +

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    Why is this role important?

                                                    -

                                                    -

                                                    Accenture is a leading global professionalservices company, providing a broad range of services and solutions instrategy, consulting, digital, technology and operations. Combining unmatchedexperience and specialized skills across more than 40 industries and all businessfunctions — underpinned by the world’s largest delivery network — Accentureworks at the intersection of business and technology to help clients improvetheir performance and create sustainable value for their stakeholders. With469,000 people serving clients in more than 120 countries, Accenture drivesinnovation to improve the way the world works and lives. Visit us atwww.accenture.com.

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -
                                                    -

                                                    Locations

                                                    Ontario - Ottawa,Ontario - Toronto
                                                    -
                                                    -
                                                    -

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    -

                                                    Equal Employment Opportunity Statement

                                                    -

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    -

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    -

                                                    Requesting An Accommodation

                                                    -

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    -

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    -

                                                    Other Employment Statements

                                                    -

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    -

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-12-24T06:22:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/42973570-principal-data-scientist-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,expired,2020-12-03T06:21:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,Re-Posting an Expired Job, -1df1c712-3b76-49c6-8fa2-2ae1f25e2f0c,43498657,RBC,"Data Scientist, RBC Amplify - 2021",on_site,"Toronto, Ontario, Canada",2020-12-07T06:21:54.698Z,"
                                                    -

                                                    What is Amplify?

                                                    -

                                                    RBC Amplify is an intensive summer innovation program that helps you put your skills to the test while building a product that could disrupt our company and beyond. If you’re a bright mind with fresh ideas, top of your class, own the hackathon circuit and are passionate about innovation, we want you!

                                                    -

                                                    What is the opportunity?

                                                    -

                                                    As a Data Scientist you will collaborate, innovate, ideate and build in a flexible, start-up environment.

                                                    -

                                                    You will tackle real RBC business challenges as a member of a cross-functional team of specialists (think: business, UX/UI design, big data, and programming) by developing a product that you pitch to stakeholders at the end of the summer.

                                                    -

                                                    Over the course of the program you will have access to subject matter experts, coaches, mentors, as well as technical and professional training and resources to bring your idea to life.

                                                    -

                                                    What will you do? Discover. Research. Build. Pitch

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    +

                                                    Full time

                                                    +

                                                    +

                                                    +

                                                    Type of Role:

                                                    +

                                                    Co-op (Fixed Term)

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    ",,https://myview.wd3.myworkdayjobs.com/en-US/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/CO-OP--Data-Science-Analyst--Finance-Analytics_R2000185019,aimasters@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2020-10-26T15:00:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/40795684-co-op-data-science-analyst-finance-analytics-at-loblaw-companies-ltd,,expired,2020-10-19T19:22:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, +a711848a-0ef0-4207-9151-18890fe0ecfd,41037412,Canvass Analytics Inc.,Marketing Growth Lead ☑️,on_site,"Toronto, ON, Canada",2020-10-26T13:31:03.383Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    +

                                                    Canvass AI is disrupting the industrial sector with its cutting-edge AI platform, by transforming industrial engineers into data and digital engineers. Backed by some of the world’s largest companies like Google’s Gradient Ventures, Canvass is democratizing the use of AI in day to day operations so industrial companies can build AI/ML models at scale and deploy them in production to gain business benefits in real time.​

                                                    +

                                                    The Canvass marketing team is responsible for developing brand awareness, go to market and growth opportunities to fuel continued acceleration & utilization of Canvass’ AI platform. Our work ranges from looking at dynamic and diverse ways to build out our community across the industry, make Canvass a reference point across the many industry segments we serve, expand across key global & strategic partnerships, enable our product & sales team with robust and relevant enablement, launch and manage campaigns to fuel continued growth, track metrics and reduce the sales cycle through innovation across our marketing programs and technology platform.

                                                    +

                                                    Job Description

                                                    +

                                                    As a Marketing Growth Lead, you will use your knowledge and experience to drive go to market and campaigns, launch relevant content to fuel awareness, get deep on analytics, U/X and A/B testing to maximize conversion rates and be up for filling in the gaps as we build out a world class marketing team to support the growth of Canvass.

                                                    +

                                                    Key Responsibilities

                                                      -
                                                    • Immerse yourself in a business challenge with an intense focus on collaboration to develop an innovative product.
                                                    • -
                                                    • You will be challenged to step outside your comfort zone, and bring your teamwork, communication and collaboration skills to help your team succeed.
                                                    • -
                                                    • You will be expected to design, create and deliver a fully functional prototype to RBC that solves a real business need.
                                                    • -
                                                    • You will play an integral role in engaging your critical thinking, time management and leadership skills within your team.
                                                    • -
                                                    • Design, troubleshoot and develop your product.
                                                    • -
                                                    • Work with subject matter experts, mentors, executive sponsors (technology and business) to build your solution.
                                                    • -
                                                    • Exposure to design thinking, agile development and other tools, technologies and methodologies.
                                                    • -
                                                    • Executive presentations, developing strategy and communications for your project.
                                                    • +
                                                    • Develop and launch campaigns to support our GTM (go to market) initiatives
                                                    • +
                                                    • Work with our Partner Team to support dedicated partner programs that land and expand across these key relationships
                                                    • +
                                                    • Manage the day to day requirements across key digital assets to drive increase in traffic, interactions and engagement
                                                    • +
                                                    • Savvy on content and execution of copy
                                                    • +
                                                    • Optimize conversion funnels on landing page experiences through quantitative and qualitative testing from acquisition to customer marketing - the full customer journey
                                                    • +
                                                    • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                    • +
                                                    • Proficiency in Hubspot, Wordpress, Google sheets and supporting the build out of the marketing tech stack to fuel growth
                                                    • +
                                                    • Proficiency with probability and statistics
                                                    • +
                                                    • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                    • +
                                                    • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                    • +
                                                    • Ability to turn complex data and insights into easily understood
                                                    • +
                                                    • Strong organizational, time management, and analytical skills
                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must have

                                                    +

                                                    Qualifications

                                                      -
                                                    • Must be currently enrolled in a post-secondary institution, graduating between August 2021 and June 2022 (College, Undergrad, Master's or PhD).
                                                    • -
                                                    • Familiarity with statistical methods.
                                                    • -
                                                    • Programming skills and knowledge of Python and R languages.
                                                    • -
                                                    • Familiarity with data cleaning, data mining, and machine learning.
                                                    • -
                                                    • Excellent interpersonal and highly developed communication skills (verbal and written).
                                                    • -
                                                    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment.
                                                    • -
                                                    • Excellent teamwork and collaboration skills.
                                                    • -
                                                    • Ability to challenge the status quo, and think outside the box to develop solutions.
                                                    • +
                                                    • You are analytical and metrics driven with strong copywriting skills along with a hunger to test and experiment with new and innovative ideas
                                                    • +
                                                    • You live and breathe anything, and everything related to opportunity creation & growth because you consider yourself a strategist who can optimize lead-to-customer conversion rates and increase funnel marketing efficiencies
                                                    • +
                                                    • You have experience with improving and optimizing online user experience, with a focus on B2B conversions
                                                    • +
                                                    • You will combine processes with flexibility, data with wise iteration and curiosity with perseverance
                                                    -

                                                    AND one or more of the following:

                                                    +

                                                    Required Skills

                                                      -
                                                    • Experience with deep-dive analytics, predictive modelling or algorithms.
                                                    • -
                                                    • Experience with machine learning, pattern intelligence, computational mathematics, bioinformatics or artificial intelligence.
                                                    • -
                                                    • Experience with natural language processing.
                                                    • +
                                                    • 5-7 years of B2B demand generation experience
                                                    • +
                                                    • Ability to work in a fast-paced, dynamic work environment
                                                    • +
                                                    • Proficiency in Google Analytics, Google Tag Manager, and Google Optimize
                                                    • +
                                                    • Familiar with HubSpot, WordPress and Salesforce
                                                    • +
                                                    • Proficiency in Google Sheets and data analysis
                                                    • +
                                                    • Proficiency with probability and statistics
                                                    • +
                                                    • Proficiency with analytics tools and web traffic reporting, and ability to do deep data analysis and drive recommendations to senior leadership
                                                    • +
                                                    • Outstanding ability to think creatively, strategically, and identify and resolve problems
                                                    • +
                                                    • Strong organizational and time management skills
                                                    • +
                                                    • Ability to turn complex data and insights into easily understood. Team Player and can work independently to achieve required goals
                                                    • +
                                                    • Roll up your sleeve get stuff done attitude with high growth start-up experience
                                                    -

                                                    Nice to have

                                                    +

                                                    Your Benefits

                                                    Some of the benefits you can expect as part of our team include:

                                                      -
                                                    • Experience with hackathons.
                                                    • -
                                                    • Expressed interest or previous experience in the financial industry or FinTech.
                                                    • -
                                                    • Practical experience in web or mobile development.
                                                    • -
                                                    • Experience in agile or design thinking methodologies or frameworks.
                                                    • -
                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    -
                                                      -
                                                    • A unique summer experience with the chance to develop a career at RBC.
                                                    • -
                                                    • Team up with students from diverse backgrounds and build lasting professional relationships.
                                                    • -
                                                    • Engage with leaders who support your development through coaching and learning opportunities.
                                                    • -
                                                    • Be a part of a dynamic, collaborative, progressive and high-performing team.
                                                    • -
                                                    • Contribute to real projects that can make a difference and have a lasting impact at RBC.
                                                    • -
                                                    • Tons of opportunity to grow specific skills for your future
                                                    • -
                                                    • An all-around fun, innovative, and comfortable work environment where casual clothing is the norm.
                                                    • -
                                                    -

                                                    Amplify2021

                                                    -

                                                    techops

                                                    -

                                                    -

                                                    -

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    -

                                                    -

                                                    Join our Talent Community

                                                    -

                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    -

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                    -

                                                    -

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    -

                                                    -

                                                    -

                                                    JOB SUMMARY

                                                    -

                                                    City: Toronto
                                                    Address: Various
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: [[filter7]]
                                                    Career Level: Student Job
                                                    Pay Type: [[jobGrade]]
                                                    Required Travel (%): [[requiredTravel]]
                                                    Exempt/Non-Exempt: [[exemptionStatus]]
                                                    People Manager: [[peopleManager]]
                                                    Application Deadline: 01/03/2021
                                                    Req ID: 265208

                                                    -

                                                    Ad Code(s):

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/265208/Data-Scientist-RBC-Amplify-2021,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2020-12-21T06:23:00.000Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/43498657-data-scientist-rbc-amplify-2021-at-rbc,https://jobs.rbc.com/ca/en/job/265208/Data-Scientist-RBC-Amplify-2021,expired,2020-12-07T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -05a68f81-3224-40e8-8bf1-86ab19dc66b2,43569378,EY,Data Analytics Staff,on_site,"Toronto, ON, Canada",2020-12-07T18:26:55.609Z,"

                                                    EY is a global leader in Assurance, Tax, Transaction and Advisory Services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who build high performing teams to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

                                                    -

                                                    Our Assurance group is one of the most trusted, respected and influential organizations in the industry. As part of our team, you will provide peace of mind to clients by using your skills and experience to give companies, investors and regulators confidence in the validity of financial statements and business-critical information or processes. Groups (or, as we call them, sub-service lines) within Assurance include External Audit, Climate Change and Sustainability Services, Financial Accounting Advisory Services and Fraud Investigation & Dispute Services.

                                                    -

                                                    The Opportunity

                                                    -

                                                    As a data analytics staff, you will join tenthree|labs to work with our audit teams as they leverage data analytics to improve audit efficiency and quality. This is a unique role for you to get heavily involved in both the audit and data analytics process and make an immediate impact working closely with audit teams to help establish and build strong client relationships.

                                                    -

                                                    In the lab, you will be joined by a team of multidisciplinary professionals in versatile roles, which includes data analytics, programming, robotic process automation, data visualization, etc. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.

                                                    -

                                                    Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                                    -

                                                    Your key responsibilities

                                                    -
                                                      -
                                                    • Work within tenthree|labs to export, transform, validate and output large and complex data sets for use in EY’s data analytics tools
                                                    • -
                                                    • Work and build strong relationships with EY audit teams while co-developing a robust and repeatable data analytics delivery process
                                                    • -
                                                    • Proactively monitor, manage, and execute projects with engagement teams
                                                    • -
                                                    • Collaborate with the data analytics and engagement teams to design and implement improvements to the data delivery process
                                                    • -
                                                    -

                                                    -

                                                    To qualify for this role, candidates must have a combination of

                                                    -
                                                      -
                                                    • An undergraduate degree in business or accounting with a minor in computer science, computer science, computer engineering, data analysis, financial mathematics or another related field
                                                    • -
                                                    • A basic understanding of a company’s financial reporting process and financial terms
                                                    • -
                                                    • Strong interest in data analytics, data transformation, robotics process automation, and finance or accounting
                                                    • -
                                                    • Strong project management and organizational skills with an ability to multitask
                                                    • -
                                                    • Excellent communication skills with an ability to explain technical terms to a non-technical audience
                                                    • -
                                                    • A critical and logical thinker who is able to work both independently and in a team environment
                                                    • -
                                                    • Process driven individual with a strong attention to detail
                                                    • -
                                                    -

                                                    Make your mark. Apply today.

                                                    -

                                                    Who we are

                                                    -

                                                    EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

                                                    -

                                                    EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                                    ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/data-analytics-staff-152047,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-01-06T22:21:09.739Z,False,0,15,68,https://talenthub.vectorinstitute.ai/jobs/43569378-data-analytics-staff-at-ey,,expired,2020-12-07T18:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -b1c03916-3e25-48da-bc2b-cfb6c4982b01,43953348,Google,"Senior Manager, Business Intelligence and Data Infrastructure, YouTube",on_site,"Toronto, ON, Canada",2020-12-10T20:49:16.977Z,"

                                                    Minimum qualifications:

                                                    -
                                                      -
                                                    • Master's degree in Computer Science, Mathematics or equivalent practical experience.
                                                    • -
                                                    • 12 years of experience leading consulting/strategy teams or technical/analytical teams (strategy, data engineering, business intelligence).
                                                    • -
                                                    • Experience designing and building data products for users.
                                                    • -
                                                    • Experience with product management, coding, relational database, SQL, data infrastructure.
                                                    • -
                                                    -

                                                    Preferred qualifications:

                                                    -
                                                      -
                                                    • Experience in product management or consulting.
                                                    • -
                                                    • Experience with operations analytics, and/or data product development.
                                                    • -
                                                    • Experience working with Python/Pandas, R, or other analytics/data visualization languages.
                                                    • -
                                                    • Excellent business acumen and communication skills.
                                                    • +
                                                    • Awesome team and culture (every day)
                                                    • +
                                                    • Generous time off, including vacation and personal days personal days to help rejuvenate
                                                    • +
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • +
                                                    • Flexible office policy, with options to work remotely
                                                    • +
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • +
                                                    • Company-provided MacBooks and standing desks
                                                    • +
                                                    • Top technology and tools to excel at your role
                                                    • +
                                                    • Free team lunches
                                                    -

                                                    About the job

                                                    -

                                                    This is a central/global role as part of the core YouTube team looking for a Senior Manager, Business Intelligence and Data Infrastructure in San Bruno, Playa Vista, New York or Toronto.

                                                    In this role, you will manage a team of technical analysts that are focused on unlocking YouTube’s data for internal use, set team-level goals and influence organizational-level initiatives.

                                                    -

                                                    At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

                                                    -

                                                    Responsibilities

                                                    -
                                                      -
                                                    • Manage a team of Business Intelligence and data infrastructure specialists, leading goal setting, product planning and development, and overseeing daily activities and deliverables of the team.
                                                    • -
                                                    • Collaborate with a variety of stakeholders, including leadership across the Business, Operations, Product, and Engineering organizations.
                                                    • -
                                                    • Create reporting that measures progress against quarterly goals for the partnership organization. Help build the data infrastructure to enable reporting on all support user journeys that our partners have across YouTube.
                                                    • -
                                                    • Launch a dashboard to help partner managers evaluate the health of the YouTube partners they serve. Plan and gather data on impacts of rapid decisions necessary to ensure business continuity.
                                                    • -
                                                    ",,https://careers.google.com/jobs/results/143313048233222854-senior-manager-business-intelligence-and-data-infrastructure-youtube/?location=Canada&page=2,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-01-09T21:48:29.745Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/43953348-senior-manager-business-intelligence-and-data-infrastructure-youtube-at-google,,expired,2020-12-10T20:49:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Masters Degree,New Posting, -1198a86b-0afc-4ebc-ac64-468c7504d90d,44266679,Deloitte,Omnia AI: Software Developer - New Grad 2021 (Toronto),on_site,"Toronto, Ontario, Canada",2020-12-14T15:46:51.684Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    -

                                                    -
                                                    • Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    • Be encouraged to deepen your technical skills…whatever those may be.
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -

                                                    You will work closely with product management, design and analytic teams to create various custom applications that tailor towards different clients rooted through their business needs. By working with multiple teams from both client and internal teams, you will define application requirements/user stories, design and develop front-end interfaces, backed systems leveraging multiple programming languages and frameworks. You have the responsibility to accurately define effort requirements, consistently write effective code that is stable, secure, scalable & efficient, and manage your personal workflow to ensure the deliverables are created on time and within budget. You will become a contributor by influencing the building of the team.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes. We are looking for candidates that display initiative, creativity, out-of-the-box thinking and have a keen eye for problem solving, high design sensibility, attention to detail and executing deliverables to a variety of clients.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone who is:

                                                    -

                                                    • Graduating from an undergraduate or graduate degree in computer science, computer engineering or another related program by September 2021. PLEASE NOTE: The start date for this role is September 2021
                                                    • Curious about how strategic business needs and ideas are formulated into tangible solutions
                                                    • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                                                    • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                                                    • 1+ years’ experience in building software solutions (e.g. web applications) in a corporate or start up engineering environment using JavaScript, PHP, Ruby, Python, C++ and/or Java / C#, HTML, CSS, React / Ember / Angular, etc. and working knowledge of relational and non-relational databases and SQL

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -

                                                    -

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    -

                                                    -

                                                    The next step is yours

                                                    -

                                                    -

                                                    Sound like The One Firm. For You? Apply by January 24th, 2021 at 11:59 pm EST.

                                                    -

                                                    -

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    -

                                                    -

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    -

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-24T18:31:00.000Z,False,0,25,107,https://talenthub.vectorinstitute.ai/jobs/44266679-omnia-ai-software-developer-new-grad-2021-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,expired,2020-12-14T15:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -3709a3c0-41ca-4177-91c1-3e6d1b1d5f02,44266683,Deloitte,Omnia AI: AI Strategy Consultant/Senior Consultant - New Grad 2021 (National),on_site,"Toronto, Ontario, Canada",2020-12-14T15:47:59.252Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Montreal; Toronto

                                                    -

                                                    -
                                                    • Learn from deep subject matter experts through mentoring and on the job coaching
                                                    • Be empowered to lead and have impact with clients, our communities and in the office
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -
                                                    -

                                                    Lead the way across a diverse breadth of clients as they wrestle with implications of how Artificial Intelligence is changing the landscape of their industries.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Omnia AI’s Strategy team is multi-disciplinary with over 75 people across offices in Vancouver, Calgary, Montreal, and Toronto. The team tackles a range of issues around data governance, privacy, ethics, and the design, enablement and operationalization of AI and Advanced Analytics applications – as well as domain specific applications in supply chain management, customer & marketing, government, financial services, and healthcare. Aside from core skillsets in strategy, design thinking, and digital transformation – the AI Strategy team also comprises of data scientists, architects, and analytics professionals who apply their skills at a strategic level.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone who is:
                                                    • Graduating in 2021 with an Undergraduate or Master’s degree in Business, Management or other relevant specialized degree. PLEASE NOTE: The start date for this role is September 2021
                                                    • Have relevant prior work experience in Financial Services, Government/Public Sector, Healthcare, Natural Resources, and/or Customer/Marketing
                                                    • Understand concepts related to Data Governance, Information Architecture, Metadata and/or Taxonomy
                                                    • Understand applications of Artificial Intelligence or Advanced Analytics at an enterprise scale
                                                    • Prior experience in consulting and/or graduate level education is preferred for consultant or senior consultant positions
                                                    • Proficient in spoken and written English and French (Montreal office only)

                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    -

                                                    -

                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You? Apply by January 17th, 2021 at 11:59 pm EST.

                                                    -

                                                    -

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    -

                                                    -

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    -

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Omnia-AI-AI-Strategy-ConsultantSenior-Consultant-New-Grad-2021-%28National%29-ON-M5C-3G7/695947900/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-07T06:23:10.911Z,False,0,8,57,https://talenthub.vectorinstitute.ai/jobs/44266683-omnia-ai-ai-strategy-consultant-senior-consultant-new-grad-2021-national-at-deloitte,https://careers.deloitte.ca/job/Toronto-Omnia-AI-AI-Strategy-ConsultantSenior-Consultant-New-Grad-2021-%28National%29-ON-M5C-3G7/695947900/,expired,2020-12-14T15:47:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -e55bbca1-be23-4cf8-b475-aafdfbcb1e08,44266700,Deloitte,Omnia AI: Data Architect/Engineer - New Grad 2021 (National),on_site,": Toronto, Ontario, Canada",2020-12-14T15:56:31.612Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto

                                                    -

                                                    -
                                                    • Be encouraged to deepen your technical skills in data engineering on Cloud and Big Data platforms
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada
                                                    • Be expected to share your ideas and make them a reality
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -
                                                    -

                                                    If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -
                                                    -

                                                    A data architect/engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

                                                    -

                                                    In this role, you will:

                                                    -
                                                    • Design, engineer and test data pipelines and platforms that enable business analytics and insights
                                                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                    • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                                    • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -
                                                    -

                                                    You are someone who is:

                                                    -
                                                    • Graduating from a Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, Business, Artificial Intelligence, Analytics or related field by September 2021. PLEASE NOTE: The start date for this role is September 2021 -
                                                    • Fascinated with data structures, data models and data patterns, interested in wrangling, joining and melting data sets together to create the foundation for analysis
                                                    • Quick to learn new technologies, easy to adapt to new environments, curious to try out new things and not intimidated by large and complicated data sets
                                                    • Exposed to and/or experienced with building data sets in the cloud (on AWS, Azure or Google platforms), on Big Data / Hadoop (using Sqoop, Kafka, Parquet, Scala, Python, etc.), or on database platforms (using SQL-like programming on SQL Server, Oracle, Hive, HBase, NoSQL databases, etc.)
                                                    • Able to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
                                                    • Proficient in spoken and written English and French (Montreal office only)
                                                    • -Candidates interested in the Ottawa Office: Employees in the Ottawa office will be required to obtain ""Reliability"" and/or ""Secret"" level federal security clearance(s) as a condition of their employment. To be eligible for a ""Reliability"" status, you must have resided in Canada for the last five (5) years, and for ""Secret"" level, the last ten (10) years
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -

                                                    -

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    -

                                                    -

                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You? Apply by January 17th, 2021 at 11:59 pm EST.

                                                    -

                                                    -

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    -

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    -

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Omnia-AI-Data-Engineer-New-Grad-2021-%28Ottawa%29/695913400/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-07T06:23:10.782Z,False,0,16,86,https://talenthub.vectorinstitute.ai/jobs/44266700-omnia-ai-data-architect-engineer-new-grad-2021-national-at-deloitte,https://careers.deloitte.ca/job/Omnia-AI-Data-Engineer-New-Grad-2021-%28Ottawa%29/695913400/,expired,2020-12-14T15:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -e91306da-10a2-4fad-84b0-8927657130f8,44328799,Vector Institute (Internal Opportunities Only),Reinforcement Learning - TA Position (Delivery),full,Anywhere,2020-12-15T17:26:44.324Z,"

                                                    Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 3rd, 2021. The course will run dependent on the number of participant registrations.

                                                    -

                                                    We are advertising for this role in advance of February 3rd so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                    -

                                                    This posting is to recruit two (2) TA candidates.

                                                    -

                                                    STATEMENT OF WORK: Reinforcement Learning - TA Position (Delivery)

                                                    -

                                                    Reinforcement Learning Course Dates: March 16 - May 4, 2021 (Final assignment due May 20)

                                                    -

                                                    Location: This course will be delivered online via D2L Brightspace

                                                    -

                                                    Lectures and Tutorials: Deliver typically four 2h Tutorials (1/week)

                                                    -

                                                    Instructors: TBA

                                                    -

                                                    Overview

                                                    -

                                                    Vector has launched a Professional Development program called the AI Certificate Program for Industry, which is exclusive to industry sponsors. The program consists of 8-week instructional courses including lectures and Tutorials led by Vector researchers plus discussions led by industry sponsors. The courses are:

                                                    +

                                                    Why Join Canvass?

                                                    +

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    +

                                                    What's it like working at Canvass?

                                                    +

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    ",careers@canvass.io,,annie.saiyid@canvass.io,,,,2020-11-25T13:56:20.637Z,False,0,0,32,https://talenthub.vectorinstitute.ai/jobs/41037412-marketing-growth-lead-at-canvass-analytics-inc,,expired,2020-10-26T13:31:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +b87a6c9b-5afc-4b55-8648-ac7a9a93cd78,41097667,Thomson Reuters,Research Scientist☑️,temporary,"Toronto, ON, Canada",2020-10-28T12:48:14.326Z,"

                                                    Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Centre for AI and Cognitive Computing (C3) in Toronto seeks an experienced Research Scientist with a passion for solving problems with code – using cutting-edge Machine Learning, Information Retrieval and Natural Language Processing (NLP) techniques.

                                                    +

                                                    +

                                                    What does Thomson Reuters C3 do? We support the organization and our customers through applied research and development to solve their most challenging problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components.

                                                    +

                                                    +

                                                    As a Research Scientist, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, the Centre for AI and Cognitive Computing has consistently delivered high growth product features that delight Thomson Reuters customers and advance state of the art.

                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    In this opportunity as a Research Scientist, you will:

                                                      -
                                                    • Mathematical Foundations for AI (January 12, 2021)
                                                    • -
                                                    • Machine Learning and AI (January 13, 2021)
                                                    • -
                                                    • Deep Learning - Theory (January 19, 2021)
                                                    • -
                                                    • Deep Learning - Applied (January 26, 2021)
                                                    • +
                                                    • +Develop and Deliver: Applying modern machine learning practices, you will be involved in the entire ML engineering lifecycle, training, testing and delivering high-quality solutions.
                                                    • +
                                                    • +Solve Complex Problems: You will create large scale ML processing pipelines for training novel machine learning algorithms. You will develop high performing scalable systems addressing real-world business problems.
                                                    • +
                                                    • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                    • +
                                                    • +Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                    • +
                                                    • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                    • +
                                                    • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                    -

                                                    Participant registration closed on December 15, 2020.

                                                    -
                                                    • Reinforcement Learning (March 16, 2021)
                                                    -

                                                    Participant registration closes on January 31, 2021.

                                                    -

                                                    Reinforcement learning is a powerful paradigm for modeling autonomous and intelligent agents interacting with the environment, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare. This course provides an introduction to reinforcement learning intelligence, which focuses on the study and design of agents that interact with a complex, uncertain world to achieve a goal. We will study agents that can make near-optimal decisions in a timely manner with incomplete information and limited computational resources.

                                                    -

                                                    Proposed Topics

                                                    -

                                                    With a focus on AI as the design of agents learning from experience to predict and control their environment, topics will include:

                                                    +

                                                    +

                                                    About You

                                                    +

                                                    You're a fit for the role of a Research Scientist if you:

                                                      -
                                                    • Markov decision processes
                                                    • -
                                                    • Planning by approximate dynamic programming
                                                    • -
                                                    • Monte Carlo and Temporal Difference Learning for prediction
                                                    • -
                                                    • Monte Carlo, Sarsa, and Q-learning for control
                                                    • -
                                                    • Dynamic Programming and planning with a learned model
                                                    • -
                                                    • Prediction and control with function approximation
                                                    • -
                                                    • Policy gradient methods
                                                    • -
                                                    • Psychology & Neuroscience
                                                    • +
                                                    • Have a good understanding of machine learning, in particular, deep learning (e.g., TensorFlow)
                                                    • +
                                                    • Are familiar with methods in NLP techniques or other application areas such as Information Retrieval, Computer Vision etc.
                                                    • +
                                                    • Are proficient with statistical data analysis and experimental design
                                                    • +
                                                    • Have experience with distributed computing platforms, such as Hadoop or Spark
                                                    • +
                                                    • Have publications at relevant conferences (ACL, SIGIR, ICML, NeurIPS, etc.)
                                                    • +
                                                    • Are curious, comfortable with rapid change and always learning new things
                                                    • +
                                                    • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working independently at a fast pace, embraces change, and can creatively pivot when needed.
                                                    • +
                                                    • Have a Ph.D. in Computer Science or related field preferred, or Master's degree with relevant industry experience
                                                    -

                                                    Tasks and Responsibilities

                                                    +

                                                    +

                                                    What's in it For You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • Deliver and mark (typically four) Assignments with direction from the course Instructor(s)
                                                    • -
                                                    • Mark Assignments related to Tutorials delivered, and enter grades to the Vector Learning Management System (LMS) – currently D2L
                                                    • -
                                                    • Curate recommended readings or supplementary materials to support Assignments
                                                    • -
                                                    • Ensure that all course materials are submitted (including Lecture slides, Lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in D2L
                                                    • -
                                                    • Provide assistance to course participants following each Tutorial and throughout the course
                                                    • -
                                                    -

                                                    Fees

                                                    -
                                                    • $50/hour x 2 x 15 hours = $1,500 for:
                                                        -
                                                      • Facilitating four 2h Tutorials (1/week)
                                                      • -
                                                      • Allocating an additional 1h/week to emails and administrative tasks related to the course
                                                      • -
                                                      • Marking assignments and entering grades in D2L
                                                      • -
                                                      -
                                                    -

                                                    Course Schedule

                                                    -

                                                    Schedule TBA. The weekly day and time of Tutorials and Lectures will be determined by availability of Instructors and TAs, but will be regular across the 8-week course.

                                                    -

                                                    Hours:

                                                    +
                                                  • +Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                      -
                                                    • Lectures - 2h/week
                                                    • -
                                                    • Tutorials - 2h/week
                                                    • -
                                                    • TA Office Hour - 1h/week
                                                    • +
                                                    • Our scientists and engineers explore big data sets to discover new capabilities and insights. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                    • +
                                                    • Stay up-to-date by attending conferences, publishing papers and creating IP by filing patent applications.
                                                    -
                                                      -
                                                    • Week 1: Week of Mar 15, 2021
                                                    • -
                                                    • Week 2: Week of Mar 22, 2021
                                                    • -
                                                    • Week 3: Week of Mar 29, 2021
                                                    • -
                                                    • Week 4: Week of Apr 5, 2021
                                                    • -
                                                    • Week 5: Week of Apr 12, 2021
                                                    • -
                                                    • Week 6: Week of Apr 19, 2021
                                                    • -
                                                    • Week 7: Week of Apr 26, 2021
                                                    • -
                                                    • Week 8: Week of May 3, 2021
                                                    • + +
                                                    • +Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                    • +
                                                    • +Perks: Social events & activities, employee discount programs through corporate perks
                                                    -

                                                    To apply, please submit your CV and a statement outlining your motivation and objectives.

                                                    -


                                                    -

                                                    ",brittany.camp@vectorinstitute.ai,,brittany.camp@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-02-02T17:27:00.000Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/44328799-reinforcement-learning-ta-position-delivery-at-vector-institute-internal-opportunities-only,,expired,2020-06-01T17:26:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, -d4c87c00-0c1c-4b62-99ac-55398ce3c0e5,44433683,CIBC,Senior Data Scientist,on_site,"Toronto, ON, Canada",2020-12-16T16:55:55.307Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    Job Description

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    What You’ll Be Doing

                                                    +

                                                    Accessibility

                                                    -

                                                    The Data & Analytics team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    How You’ll Succeed

                                                    -
                                                      -
                                                    • -Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                                    • -
                                                    • -Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                                    • -
                                                    • -Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                    • -
                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    Who You Are

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-11-27T12:48:00.000Z,True,28,0,235,https://talenthub.vectorinstitute.ai/jobs/41097667-research-scientist-at-thomson-reuters,,expired,2020-10-28T12:48:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Associate,PhD,Re-Posting an Expired Job, +a5a2622e-eabd-4bca-b4c5-d8bb45e03876,41097671,Thomson Reuters,Senior Software Engineer☑️,temporary,"Toronto, ON, Canada",2020-10-28T12:50:44.289Z,"

                                                    Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Center for AI and Cognitive Computing (C3) in Toronto is seeking an experienced Senior Software Engineer with a passion for solving problems with code - using technologies like Java, Python, Cloud Computing, Machine Learning and Natural Language Processing (NLP).

                                                    +

                                                    +

                                                    What does Thomson Reuters C3 do? We support the organization and our customers through applied research and development to solve their most challenging problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components.

                                                    +

                                                    +

                                                    As an experienced Senior Software Engineer, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, the Center for AI and Cognitive Computing has consistently delivered high growth product features that delight Thomson Reuters customers and advance the state of the art.

                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    In this opportunity as a Senior Software Engineer, you will:

                                                    • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                                    • +Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                    • -You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                                                    • +Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                    • -You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                    • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                    • +Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                    • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                    • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                    • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

                                                    -

                                                    What CIBC Offers

                                                    +

                                                    About You

                                                    +

                                                    You're a fit for the role of Senior Software Engineer if you:

                                                    +
                                                      +
                                                    • Can “think in code” and have a deep understanding of the Java and/or Python software development stacks and ecosystems
                                                    • +
                                                    • Are familiar with cloud-native applications in AWS or Azure (or a similar cloud platform)
                                                    • +
                                                    • Are proficient in system analysis and design
                                                    • +
                                                    • Have experience working in an agile environment
                                                    • +
                                                    • Are curious, comfortable with rapid change and always learning new things
                                                    • +
                                                    • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working independently at a fast pace, embraces change, and can creatively pivot when needed
                                                    • +
                                                    • Have a desire to work with Machine Learning and NLP
                                                    • +
                                                    • BS degree or foreign equivalent in Computer Science or related field with 4+ years of professional software development experience
                                                    • +

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    +

                                                    What's in it For You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology
                                                      • Our scientists and engineers explore big data sets to discover new capabilities and insights. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                      +
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • +Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +Perks: Social events & activities, employee discount programs through corporate perks

                                                    -

                                                    What You Need to Know

                                                    +

                                                    Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                    +

                                                    +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-11-27T12:50:00.000Z,True,5,0,64,https://talenthub.vectorinstitute.ai/jobs/41097671-senior-software-engineer-at-thomson-reuters,,expired,2020-10-28T12:50:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +bce5b59d-b3b9-444c-9431-624dbca3b9b4,41156330,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2020-10-30T05:20:36.516Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +
                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.
                                                    +

                                                    +

                                                    Job Description

                                                    +
                                                    The Business Insights Specialist will be accountable for delivering timely, meaningful business performance reporting and analytics that drive measurable business value across our business lines. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                                    +

                                                    Primary Responsibilities

                                                    +

                                                    Working closely with business stakeholders to provide thought-leadership and facilitate data-driven fact-based decisions
                                                    Support the design and execution of suitable analytical solutions in a timely fashion to support business decisions
                                                    Enhance reporting and business insights generating capability by developing a “best-in-class” reporting function that delivers timely, meaningful business performance reporting & insights that drive measurable business value. Help make reporting/business insights a competitive advantage
                                                    Responsible for identification and development of advanced analytics use cases that drive business value
                                                    Provide proactive “value-added” insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                                    Preparation and distribution of sales, performance (dashboards and scorecards) and business management reporting, as required
                                                    Liaise with business stakeholders to ensure timely and accurate deliverable
                                                    Continuously review existing reporting requirements and processes, proactively providing thought leadership and hands-on development and execution for future reporting needs and metrics

                                                    +
                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                    Qualifications/Skills/Experience:

                                                    +

                                                    Over 5 years of relevant experience in analytics, reporting, analysis and insights, or business strategy functions in the Financial Services industry
                                                    Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                                    Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                                    Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                                    Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                                    Disciplined with a proven track record of delivering results and executing with excellence
                                                    Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                                    Education

                                                    +

                                                    Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                                    Technical Knowledge/Skills

                                                    +

                                                    5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                                    Experience with creating complex Tableau dashboards considered an asset

                                                    +
                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/11675626/business-insights-specialist-toronto-ca/,adam.renkosinski@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-11-09T18:31:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/41156330-business-insights-specialist-at-td-bank-group,,expired,2020-10-30T05:20:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +c0aed9a8-5159-4551-bac9-9de930d04f69,41350260,Manulife,Data Design Analyst,on_site,"Toronto, ON, Canada",2020-11-02T20:52:18.736Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    Job Overview

                                                    +

                                                    The GWAM Chief Data Office in close partnership with key business stakeholders, GWAM Operations and will support the transformation of the organization to ensure data is leveraged as a strategic asset supporting our business goals. The group’s charter is as follows:
                                                    • Manage the Investment Division Data Lake (IDDL) as the single, central source for data which is easy to access and describes how the data was obtained
                                                    • Monitor IDDL Data quality continually monitored and accuracy improved
                                                    • Ensure Common standards for IDDL Data
                                                    • Enable flexible reporting tools to access data in the IDDL, adapting to changing business or regulatory requirements

                                                    +

                                                    Reporting to the AVP, Data Design and Investment Division Data Lake (IDDL) Business Support, the Data Analyst, Data Design will be a key member of a team of data professionals responsible for establishing the data quality program for Manulife GWAM. They will couple their data analysis experience with a solid understanding of the Investment Division’s business and operations to implement the data strategy.

                                                    +

                                                    +

                                                    Key Responsibilities:

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    • You will work with Global Wealth Asset Management Operational Business &Technical Support teams, GWAM Reporting Teams and the GWAM Chief Data Office to support the Investment Division Data Lake [IDDL] Daily Production activities to ensure data is available, reliable, consistent, accessible, secure, and timely through daily Data Issue Identification, Analysis and Action Planning
                                                    • +
                                                    • You will partner with the GWAM Chief Data Office Data Governance and Data Analytics, support on-going IDDL process improvements, including enhancements to GWAM Operational Capabilities, GWAM Data Quality Monitoring and Controls and GWAM Meta Data Management Tools such as the Business Glossary and Data Lineage
                                                    • +
                                                    • Working with GWAM Operational teams, support IDDL Design and Development for GWAM Strategic Initiatives

                                                    +

                                                    Education, Experience & Skills:

                                                    +
                                                      +
                                                    • Highly analytical with strong consulting and problem-solving abilities; tenacity to identify the root cause of problems and utilize innovative approaches to solve business data problems
                                                    • +
                                                    • Strong service orientation
                                                    • +
                                                    • Take personal accountability for issue analysis and resolution
                                                    • +
                                                    • Asset management or financial services industry experience
                                                    • +
                                                    • Previous experience in the management of large, firm-wide processes
                                                    • +
                                                    • Strong communication skills
                                                    • +
                                                    • Constructive challenge and influencing skills
                                                    • +
                                                    • Experience in translating between business and technology worlds
                                                    • +
                                                    • Champion of change and effectively managing the implementation of new ideas / improvements
                                                    • +
                                                    • Confident when dealing with investment professionals, senior management and other stakeholders
                                                    • +
                                                    • Knowledge and experience with asset management systems and platforms such as trading/order management, portfolio accounting, client reporting, performance analytics and master data management
                                                    • +
                                                    • Technical Skills, such as knowledge, of SQL required to perform data analysis
                                                    • +

                                                    -

                                                    Job Location

                                                    -

                                                    Toronto 55 Yonge Street, 4th

                                                    -

                                                    Employment Type

                                                    -

                                                    Regular

                                                    +

                                                    What about Perks?

                                                    +

                                                    Manulife has lots of perks including, but not limited to:

                                                    +
                                                      +
                                                    • Competitive compensation
                                                    • +
                                                    • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                    • +
                                                    • Manulife Share Ownership Program with employer matching
                                                    • +
                                                    • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                    • +
                                                    • Financial support for ongoing training, learning, and education
                                                    • +
                                                    • Monthly Innovation Days (Hackathons)
                                                    • +
                                                    • Wearing jeans to work every day
                                                    • +
                                                    • An abundance of career paths and opportunities to advance
                                                    • +
                                                    • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.
                                                    • +

                                                    -

                                                    Weekly Hours

                                                    -

                                                    37.5

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist_2014739-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2020-12-21T17:35:00.000Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/44433683-senior-data-scientist-at-cibc,,expired,2020-12-16T16:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7c6ea171-c58f-4008-a778-d83ad24db136,44707270,TD Bank Group,"Senior Manager, Personal Banking Data and Analytics Strategy",on_site,"Toronto, ON",2020-12-21T06:18:53.264Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                                    Reporting directly to the VP, Personal Banking Data and Analytics, within Canadian Personal Banking, this role will lead a team to help drive the Personal Banking Data and Analytics (PBDA) Spoke Strategy across a team of over 250 FTE.

                                                    The Strategy and Planning function will work with all lines of business within Canadian Personal Banking (CPB) to guide and direct data and analytics projects, providing consultative support and services. This team will stand up market-leading analytics practices and work on TD’s most challenging data and analytics problems across the Personal Bank. This role will be responsible for leading the “business of data and analytics” through transformation and innovation within a dynamic developing function, with core focus on talent management, overall governance and control, and process innovation.

                                                    -

                                                    We are looking for a self-motivated individual who wants to work in a fast paced and high impact Data and Analytics team, driving considerable change on pour pursuit to ‘Make Data and Analytics the Competitive Advantage for TD.

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -
                                                      -
                                                    • Deliver Personal Banking Data and Analytics long term strategy and roadmap
                                                    • -
                                                    • Enhance analytics capability by helping Canadian Personal Banking data and analytics teams develop “best-in-class” talent, governance and process strategies to deliver meaningful insights that drive measurable business value.
                                                    • -
                                                    • Identify and champion projects and services including the development of action plans and roadmaps for data and analytics teams within CPB and across the bank.
                                                    • -
                                                    • Provide accurate planning and resourcing across all aspects of analytics, including working with data and reporting teams to triage and agree resourcing to optimize capacity.
                                                    • -
                                                    -
                                                      -
                                                    • Manage and enhance technical and governance capability. Oversee the analytics process and facilitate ways to increase efficiency and quality of analytics delivery. Accountable for Decision Governance, Model Risk Governance, and Data Access and Controls.
                                                    • -
                                                    • Assess existing analytics tools and investigate new opportunities to enhance existing analytical capabilities and enable greater automation where possible.
                                                    • -
                                                    • Build understanding of advanced analytics capability across the bank – leverage capabilities across the Enterprise Data and Analytics function and Line of Business teams to bring value to a variety of Lines of Business.
                                                    • -
                                                    • Manage and enhance colleague experience. Oversee talent planning, recruitment, onboarding, engagement, fiscal objectives planning, twice annual performance calibration, prioritization of flagship project resourcing and relationships with Enterprise teams and offshore partners.
                                                    • -
                                                    • Coordinate analytics innovation and investment priorities and outreach to influence and integrate future analytics capabilities into the enterprise.
                                                    • -
                                                    -
                                                      -
                                                    • Build for the future and provide people leadership; oversee people plans and strategies to attract, motivate and retain highly diverse, qualified and engaged teams to fulfill current and future business needs.
                                                    • -
                                                    • Act as a key member of the PBDA Executive SLT reporting direct to VP, helping to solve a diverse set of problems
                                                    • -
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                      -
                                                    • Proven analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
                                                    • -
                                                    • Ability to perform and use predictive analytics to develop detailed business cases and explain business value of projects
                                                    • -
                                                    • Focus on data driven analytics and providing sensitivity analysis through model or data simulations.
                                                    • -
                                                    • Business and Product Knowledge & ability to provide meaningful insights for sound decision making
                                                    • -
                                                    • Technical understanding to develop and challenge Business Insight & Data Analysts (Understand coding and modeling best practices)
                                                    • -
                                                    • Strong understanding of test and experimental design (Test and Learn)
                                                    • -
                                                    • Excellent interpersonal and communication skills, both written and verbal
                                                    • -
                                                    • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
                                                    • -
                                                    • Passion for analytics with a customer-driven mindset
                                                    • -
                                                    • Experience working in both a technical and business context and able to translate technical concepts into easy to understand business language
                                                    • -
                                                    • In-depth industry knowledge, including current data trends and challenges globally
                                                    • -
                                                    • Strong analytic skills, including statistical and segmentation analysis; data analysis and insight development; financial statement and competitive analysis
                                                    • -
                                                    • University degree in Analytics, Statistics, Mathematics, Engineering, Economics or other analytically based discipline, Graduate degree an asset
                                                    • -
                                                    -

                                                    -

                                                    Additional Information

                                                    -
                                                      -
                                                    • 7+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                                    • -
                                                    • Experience managing a team of highly capable business insight and data analysts an asset
                                                    • -
                                                    • Strong knowledge of analytical tools such as Python, SAS, SQL, and MS Office applications such as Access, Excel and Power Point
                                                    • -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12008014/senior-manager-personal-banking-data-and-analytics-strategy-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-11T06:22:15.573Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/44707270-senior-manager-personal-banking-data-and-analytics-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12008014/senior-manager-personal-banking-data-and-analytics-strategy-toronto-ca/,expired,2020-12-21T06:18:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -75c8a2a3-131d-4b10-94d6-1ffbc2c8f88a,44750345,Vector Institute (Internal Opportunities Only),Small and Medium-Sized Enterprises (SME) Workshop Series - TA (Delivery),full,Anywhere,2020-12-21T17:50:29.707Z,"

                                                    Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 1, 2021. The course will run dependent on the number of participant registrations.

                                                    -

                                                    We are advertising for this role in advance of February 1, 2021 so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                    -

                                                    This posting is to recruit two (2) TA candidates.

                                                    -

                                                    STATEMENT OF WORK: Small and Medium-Sized Enterprises (SME) Workshop Series - TA (Delivery)

                                                    -

                                                    SME Workshop Series Dates: February 1 – March 31, 2021

                                                    -

                                                    Location: This course will be delivered online via D2L Brightspace

                                                    -

                                                    Lectures and Tutorials: Deliver typically four 2h Tutorials (1/week)

                                                    -

                                                    Instructors: TBD

                                                    -

                                                    Overview

                                                    -

                                                    Bias in AI: ‘Practical examples in NLP & Computer Vision’ is an online program. This immersive and interactive program is designed to build AI capacity among SMEs both in technical skills and in responsible applications of AI. Bias in AI may exclude or disadvantage sections of the Canadian population, an unacceptable outcome in a country as diverse as Canada. Providing education on how bias in AI can be identified and potentially reduced will empower practitioners in participating SMEs and it will strengthen their leadership in responsible AI within the AI ecosystem and beyond. During this course, SMEs will apply the program learnings to their organizations and present these to instructors and stakeholders from Vector Institute and SME Workshop Series representatives in the final week. In this program, SMEs will work on a capstone project of their choosing based on their own business context to maximize value.

                                                    -

                                                    The target audience is SMEs that are looking to or have adopted AI technologies and have employees with experience building and managing AI models. The program will have between 20 – 30 participants from different SMEs and will cover bias in Natural Language Processing and Computer Vision. Participants are expected to have some experience building neural network models.

                                                    -

                                                    Tasks and Responsibilities

                                                    -
                                                      -
                                                    • Deliver and mark (typically four) Assignments with direction from the course Instructor(s)
                                                    • -
                                                    • Mark Assignments related to Tutorials delivered, and enter grades to the Vector Learning Management System (LMS) – currently D2L
                                                    • -
                                                    • Curate recommended readings or supplementary materials to support Assignments
                                                    • -
                                                    • Ensure that all course materials are submitted (including Lecture slides, Lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in D2L
                                                    • -
                                                    • Provide assistance to course participants following each Tutorial and throughout the course
                                                    • -
                                                    -

                                                    Fees

                                                    -
                                                    • $50/hour x 2 x 15 hours = $1,500 for:
                                                        -
                                                      • Facilitating four 2h Tutorials (1/week)
                                                      • -
                                                      • Allocating an additional 1h/week to emails and administrative tasks related to the course
                                                      • -
                                                      • Marking assignments and entering grades in D2L
                                                      • -
                                                      -
                                                    -

                                                    TAs must submit invoices at the end of the course. All fees are payable at the end of the course ~31 March 2021.

                                                    -

                                                    Course Schedule

                                                    -

                                                    Schedule TBA. The day and time of Tutorials and Lectures will be determined by availability of Instructors and TAs, but will be regular across the course.

                                                    -

                                                    Course Outline

                                                    -

                                                    Week 1: Monday 1 February, 2021

                                                    -

                                                    o Tutorial (i): Admin & Registration Set-up, D2L Orientation

                                                    -

                                                    Workshop 1: Tuesday 2 February, 2021:

                                                    -

                                                    Topic: AI Overview, Tools & Best Practices

                                                    -

                                                    · Mathematical Foundations

                                                    -

                                                    · Python Hygiene - packages, troubleshooting, and running efficient models

                                                    -

                                                    · NLP Fundamentals

                                                    -

                                                    Assignment (1): Develop classic GPT2/Bert model - text generation/ prediction

                                                    -

                                                    -

                                                    Week 2: Monday 8 February, 2021

                                                    -

                                                    o Tutorial (ii): Go over Assignment (1) & Week 1 materials

                                                    -

                                                    Workshop 2: Tuesday 9 February, 2021

                                                    -

                                                    Topic: Computer Vision Models

                                                    -

                                                    · Computer Vision Fundamentals

                                                    -

                                                    Assignment (2): Develop a classic Computer Vision classification model

                                                    -

                                                    -

                                                    *Week 3: Tuesday 16 February, 2021 *Monday 15 February is a public holiday

                                                    -

                                                    o Tutorial (iii): Go over Assignment (2) & Week 2 materials

                                                    -

                                                    Workshop 3: Wednesday 17 February, 2021

                                                    -

                                                    Topic: Reducing bias in NLP & Computer Vision models

                                                    -

                                                    · Bias in AI (Introduction)

                                                    -

                                                    · Governance, Privacy & Ethics

                                                    -

                                                    Assignment (3): Reducing bias in NLP & Computer Vision models (report)

                                                    -

                                                    -

                                                    Week 4: Monday 22 February, 2021

                                                    -

                                                    o Tutorial (iv): Go over Assignment (3) & Week 3 materials

                                                    -

                                                    Workshop 4: Tuesday, 23 February 2021

                                                    -

                                                    Topic: Reducing bias in NLP & Computer Vision models

                                                    -

                                                    · Methods for identifying and reducing bias

                                                    -

                                                    Assignment (4): Reducing bias in NLP & Computer Vision models (applied)

                                                    -

                                                    -

                                                    Week 5: Monday 1 March, 2021

                                                    -

                                                    o Tutorial (v): Go over Assignment (4) & Week 4 materials

                                                    -

                                                    Workshop 5: Tuesday, 8 March 2021

                                                    -

                                                    Topic: Capstone Preparation

                                                    -

                                                    · Introduction to Capstone Project

                                                    -

                                                    · Scientific writing & presentations

                                                    -

                                                    Assignment (5): Capstone Project - identify and reduce bias in your AI models

                                                    -

                                                    · Presentation reviewed by a panel including IRAP staff

                                                    -

                                                    · Capstone review and feedback

                                                    -

                                                    -

                                                    CAPSTONE PROJECT FINAL: Tuesday 16 March, 2021

                                                    -

                                                    Capstone Presentations: “Identify and reduce bias in your AI models”

                                                    -

                                                    Capstone Panel: Vector Institute & Stakeholders

                                                    -

                                                    Marks submitted & data captured - end of course.

                                                    -

                                                    To apply, please submit your CV and a statement outlining your motivation and objectives to: brittany.camp@vectorinstitute.ai

                                                    -

                                                    ",brittany.camp@vectorinstitute.ai,,brittany.camp@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-01-22T13:55:08.733Z,False,0,0,59,https://talenthub.vectorinstitute.ai/jobs/44750345-small-and-medium-sized-enterprises-sme-workshop-series-ta-delivery-at-vector-institute-internal-opportunities-only,,expired,2020-07-01T17:50:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, -0bee285a-92dd-4495-bf17-771f67fd2bbc,45455746,CIBC,"Senior Analyst, Business Analytics",on_site,"Toronto, ON, Canada",2020-12-28T18:18:43.230Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    -

                                                    What You’ll Be Doing

                                                    -

                                                    -

                                                    As a Senior Analyst, Business Analytics you support Repos, Securities Lending, OTC Derivatives and Prime Brokerage service, and will participate in various operational activities that include but are not limited to collateral management, margin calls, settlements and corporate actions. You will independently resolve complex issues and/or disputes with clients and business partners in a professional manner, engaging support from various groups (Front Office, Finance, Technology, etc..) as appropriate, and understand numerous complex products, associated trade events (including accounting activities) including related process flows. Partner engagement is routine and frequent.

                                                    -

                                                    -

                                                    How You’ll Succeed

                                                    -

                                                    -

                                                    Operational Knowledge: You will leverage your previous skills in banking operations (ie: client account and transaction processing, payments, settlements, reconciliations and investigations.), and leverage your education and practical experience dealing with complex financial instruments including derivatives, repos, securities lending, etc..

                                                    -

                                                    Coaching and Relationship Building: You will coach junior staff to ensure they understand processes, procedures and the importance of customer service quality. You will also take on some escalated issues as may be assigned, stay in regular contact with internal and external partners to obtain and provide information, as well as respond to request.

                                                    -

                                                    Analytical Skills: You will investigate reoccurring anomalies or irregularities to determine their frequency and cause and recommend potential solutions. However, you will escalate issues that are above your level of competence. You will competently and professionally liaise with various lines of business (e.g. Trade Control, Middle & Front Office, Technology) to complete the investigation of discrepancies to satisfactory resolution.

                                                    +

                                                    This is a full-time permanent role located in Toronto, Ontario. Successful candidates may be considered for our Boston, MA location as well.

                                                    -

                                                    Who you are

                                                    +

                                                    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                    -

                                                    You are resourceful and inquisitive. When placed in unfamiliar territory, you’re committed toward understanding through various channels

                                                    -

                                                    You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.

                                                    -

                                                    You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.

                                                    -

                                                    You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                    -

                                                    You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.

                                                    -

                                                    Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                    -

                                                    What CIBC Offers

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2019, we had more than 35,000 employees, over 98,000 agents, and thousands of distribution partners, serving almost 30 million customers. As of March 31, 2020, we had $1.2 trillion (US$0.8 trillion) in assets under management and administration, and in the previous 12 months we made $30.4 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +



                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/1010127/DataDesignAnalyst,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-12-04T14:14:24.552Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/41350260-data-design-analyst-at-manulife,,expired,2020-11-02T20:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +0063d131-cbe1-451f-ad75-8d3e8728059a,41416563,RBC,"Internal Audit, Winter 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:33.826Z,"
                                                    +
                                                    +
                                                    +

                                                    RBC fosters a positive learning environment for students by providing support and resources to help your development. As the leading financial institution in the country and one of Canada’s Top Employers for Young People, RBC is a great place to start your career.

                                                    +

                                                    +

                                                    What is the opportunity?

                                                    +

                                                    Internal Audit works to review what’s going on behind the scenes of all lines of business across RBC. It is the ideal work environment if you’re interested in seeing how things work, are curious about digging deep into data to discover new things and like to use your imagination to make recommendations or drive insights. By joining us for a 4-month long position, you will be involved in a variety of challenging assignments, allowing you become familiar with a wide range of areas across RBC, while also strengthening the skills and knowledge you need to launch a successful career. Our students benefit from interesting work and networking opportunities, and are encouraged to collaborate on innovations.

                                                    +

                                                    +

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 8th, 2020. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Along with pursuing a post-secondary education and being available for a work term, there are some other qualities that we look for in members of Internal Audit.

                                                    +

                                                    +

                                                    Be Curious. You don’t have to have an audit or accounting background in order to be successful here. What we look for is someone who has an interest in understanding and learning about auditing principles and techniques. Someone who is able to think critically and isn’t afraid to recommend an approach or challenge others’ opinions in a constructive manner. Someone who has a passion for learning and personal development, and wants to spend their term collaborating with a diverse group of talented individuals.

                                                    +

                                                    Be Tech-Savvy. Internal Audit is a leader in finding innovative ways to use technology to be more efficient and impactful. Proficiency in Microsoft Office tools, including Word, Excel, PowerPoint and Excel, is required. Experience with data analytics tools such as Python and visualization tools like Tableau are also an asset.

                                                    +

                                                    Be Adaptable. We are a busy part of RBC where there is always a lot on the go. We are looking for someone who thrives in a dynamically changing environment with strong project management skills, allowing you to multi-task, prioritize and work independently under tight timelines.

                                                    +

                                                    Be Collaborative. Internal Audit is a supportive and welcoming environment, and we are looking for team players who proactively seek out development opportunities. Someone with excellent interpersonal skills and a positive attitude. Someone who demonstrates strong verbal and written communication skills, allowing you to work effectively with people across the organization.

                                                    +

                                                    +

                                                    Does this sound like you? If so, then a coop position with RBC’s Internal Audit team is the job for you. See below for information for our student opportunities available within Internal Audit.

                                                    +
                                                    +

                                                    +
                                                    +

                                                    Capital Markets & Risk Management

                                                    +

                                                    Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                      -
                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • -
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +
                                                    • Participating in audits, control design review, continuous audit review and consulting engagements
                                                    • +
                                                    • Participating in planning sessions to develop audit techniques using data analytics
                                                    • +
                                                    • Using Tableau to develop data analytics and visualization reports
                                                    -

                                                    -

                                                    What You Need to Know

                                                    +
                                                    • Preparing management reports
                                                    +

                                                    +

                                                    Requirements

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    • Post-secondary education major in Business, Data Science, Engineering, Mathematics, Finance and Accounting, Statistics or Computer Science
                                                    • +
                                                    • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
                                                    • +
                                                    • Prior exposure to valuations and/or risk analysis of financial trading products would be an asset
                                                    -

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analyst--Business-Analytics_2017597-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-01-04T16:38:00.000Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/45455746-senior-analyst-business-analytics-at-cibc,,expired,2020-12-28T18:18:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -beba14b6-f2fa-43b0-bd0c-710098ee167e,45456836,Vector Institute,"Director, Health Research Operations",on_site,"Toronto, ON, Canada",2020-12-28T18:37:43.563Z,"

                                                    POSITION OVERVIEW

                                                    -

                                                    -

                                                    Reporting to the Vice President, Health, the Director, Health Research Operations will provide leadership for all operational aspects of the health AI portfolio at the Vector Institute, to enable an efficient and effective research program. The Director will be responsible for rapid and thorough review, execution, and management of grant submissions, contracts (e.g., data sharing/use agreements, partnership MOUs, etc.), and associated fund transfers, and will also hold responsibility for all operational elements of portfolio-wide research projects, activities, and events.

                                                    -

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    +

                                                    +

                                                    Information Technology

                                                    +

                                                    Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                      -
                                                    • Serve as the Health portfolio lead for standardization, review, execution, and management of all contracts, agreements, and fund transfers;
                                                    • -
                                                    • Serve as the Health portfolio lead for grant application development, submission, and ongoing management and reporting;
                                                    • -
                                                    • Oversee and manage portfolio-wide research initiatives (e.g., OHDP, GEMINI), including providing support for faculty collaboration activities, as well as planning and implementing relevant meetings and other communications;
                                                    • -
                                                    • Provide ongoing monitoring to ensure successful implementation of all contractual and project deliverables;
                                                    • -
                                                    • Serve as the main Vector corporate contact for all health AI research projects (led by Vector, or led by others with Vector as a partner);
                                                    • -
                                                    • Provide supervision for the Program Manager, Health Research Operations role, as well as dotted-line supervision for administrative support staff, including oversight and accountability for:
                                                        -
                                                      • Project plan creation, engagement with project stakeholders, identifying and managing project risks, and milestone tracking;
                                                      • -
                                                      • Implementing improved structures and processes for Health contracts/agreements, as well as other key operational aspects of the portfolio;
                                                      • -
                                                      • Creating and implementing a document management system to organize and make available core documents, including:
                                                        • Working closely with the team, enhancing and maintaining a shared drive for all health-related files, and acting as the point of contact for the team to retrieve documents;
                                                        -
                                                      • -
                                                      • Implementing a framework for how the Health workstream engages with its faculty, affiliates, and their trainees to support coordinated implementation of strategic objectives;
                                                      • -
                                                      • Maintaining a team tracker document that incorporates key objectives, milestones, and deliverables for all projects, and generating reports on performance against targets for senior management and the Board of Directors;
                                                      • -
                                                      • Leading planning and implementation for Vector-led health events;
                                                      • -
                                                      • Leading planning and implementation for Health portfolio meetings (agenda packages, minutes, tracking action items);
                                                      • -
                                                      • Supporting researchers in applying for and securing external funding by drafting letters of support; and,
                                                      • -
                                                      • Keeping a record of Vector’s support and participation in research projects and initiatives to capture Vector’s contribution to AI in health.
                                                      • +
                                                      • Participating in audits, control design review, continuous audit review and consulting engagements
                                                      • +
                                                      • Participating in planning sessions to develop audit techniques using data analytics
                                                      • +
                                                      • Using Tableau to develop data analytics and visualization reports
                                                      -
                                                    • -
                                                    • Align Vector Health and Vector Research Operations strategies and activities;
                                                    • -
                                                    • Contribute to development and implementation of strategic/operational plans; and,
                                                    • -
                                                    • Other related duties as assigned.
                                                    • +
                                                      • Preparing management reports
                                                      +

                                                      +

                                                      Requirements

                                                      +
                                                        +
                                                      • Post-secondary education major in Data Science, Accounting or Technology
                                                      • +
                                                      • Understanding of data analytics and Tableau
                                                      • +
                                                      • Experience with:
                                                      -

                                                      -

                                                      KEY SUCCESS MEASURES

                                                      -

                                                      -
                                                      • Successful and timely execution of all Health research contracts/agreements, as well as fund transfers.
                                                      -
                                                      • Implementation of health AI research projects across portfolio-wide research initiatives.
                                                      +
                                                        +
                                                      • Computer centre process, such as: problem management, service level management, environmental controls, physical security, job scheduling, job entry systems, media management, backup & recovery, and capacity & performance management
                                                      • +
                                                      • Information security governance practices, such as: access administration, incident & vulnerability management and security standards & technology change management
                                                      • +
                                                      • Technology platforms, such as: zOS, UNIX, Tandem, iSeries and Windows (2003 and XP)
                                                      • +
                                                      • Database management systems, such as: Sybase, Oracle, SQL, DB2/UDB and IMS
                                                      • +
                                                      +

                                                      +

                                                      Personal & Commerical Banking

                                                      +

                                                      Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                        -
                                                      • Success and job satisfaction of direct and indirect reports in the execution of their roles.
                                                      • -
                                                      • Internal and external stakeholder feedback is such that the Vector Health team provides high-quality service and support through effective working relationships.
                                                      • +
                                                      • Participating in audits, control design review, continuous audit review and consulting engagements
                                                      • +
                                                      • Participating in planning sessions to develop audit techniques using data analytics
                                                      • +
                                                      • Using Tableau to develop data analytics and visualization reports
                                                      -

                                                      -

                                                      PROFILE OF THE IDEAL CANDIDATE

                                                      -

                                                      +
                                                      • Preparing management reports
                                                      +

                                                      +

                                                      Requirements

                                                      +
                                                      • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
                                                      +

                                                      +

                                                      Data Management & Analytics

                                                      +

                                                      Contribute to audit teams across IA by designing and implementing data-related aspects of audit strategies, and producing and sharing insights supporting all phases of the internal audit cycle – planning, execution and reporting. Key tasks may include:

                                                        -
                                                      • Holds, at minimum, a graduate degree in a business, health, technical, or related field.
                                                      • -
                                                      • Experience successfully managing all operational aspects of a research program, ideally in the health and/or technology sector(s).
                                                      • -
                                                      • Demonstrated success with implementation of organizational efficiencies and effective business processes.
                                                      • -
                                                      • In-depth knowledge of the complexities of research contracts.
                                                      • -
                                                      • An understanding of the nature of health AI research and its potential to improve health services.
                                                      • -
                                                      • Adept at working with multidisciplinary stakeholders, prioritizing conflicting needs, managing limited resources, handling matters expeditiously, and following through on tasks to successful completion.
                                                      • -
                                                      • Possesses exceptional verbal and written English communication skills; effective in presenting to a diverse set of stakeholders from the business, health, and technology ecosystem.
                                                      • -
                                                      • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and motivated by continuous learning and the desire to make a difference and a real contribution to health AI.
                                                      • +
                                                      • Collaborating with the businesses to capture requirements
                                                      • +
                                                      • Collecting and maintaining the data required to perform the analytics
                                                      • +
                                                      • Collecting, processing and analyzing data using a variety of tools
                                                      • +
                                                      • Participating in the identification of key risks, hypotheses and questions to answer
                                                      -

                                                      -

                                                      Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                      -

                                                      -

                                                      Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                      -

                                                      -

                                                      The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                      -

                                                      -

                                                      Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                      ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=114&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-01-11T16:37:00.000Z,False,0,10,59,https://talenthub.vectorinstitute.ai/jobs/45456836-director-health-research-operations-at-vector-institute,,expired,2020-12-28T18:37:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Director,Masters Degree,New Posting, -63fc3777-bf5b-40fe-8b4c-fc6669fdfee1,46006585,Ada,Back End Developer - Data Platform (Remote Available),on_site,"Toronto, ON, Canada",2021-01-04T15:49:20.446Z,"

                                                      We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
                                                      You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.

                                                      We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

                                                      As a Back End Developer on our Data Platform team, you'll be working with internal and external stakeholders to execute Ada’s Data Platform and Analytics roadmap in order to deliver business intelligence insights to both internal and external customers.
                                                      The Data Platform team is responsible for evolving our data architecture to a scalable and available real-time data streaming platform. The data architecture needs to support multiple users and needs, ranging from analytics pipelines to data warehousing to business intelligence tools and integrations with enterprise data systems.

                                                      -

                                                      -

                                                      About You:

                                                      -
                                                          -
                                                        • Minimum 3+ years of experience as a Back End Developer
                                                        • -
                                                        • Profound understanding of distributed cloud systems architecture and relevant technologies
                                                        • -
                                                        • Comfortable with any web stack (language and framework non-specific)
                                                        • -
                                                        • Strong understanding of non-relational databases such as MongoDB and in-memory stores such as Redis
                                                        • -
                                                        • Must have experience using APIs to build distributed cloud applications
                                                        • -
                                                      -

                                                      Outcomes:

                                                      -
                                                          -
                                                        • Execute on our ambitious data platform roadmap through the implementation of features
                                                        • -
                                                        • Provide expertise from past experiences to help level up our current development practices
                                                        • -
                                                        • Review the team’s code, provide insightful feedback, and teach everyone something new
                                                        • -
                                                      -

                                                      #LI-RD1
                                                      About Us
                                                      Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                                      Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

                                                      ",,https://jobs.lever.co/ada/b322b97b-a3b4-4cc8-b2e5-12db3d2f1736,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-01-11T16:29:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/46006585-back-end-developer-data-platform-remote-available-at-ada,,expired,2021-01-04T15:49:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -066ca5d3-852e-4808-9f2a-b7c85ec45cd1,49860888,Loblaw Companies Ltd.,Operational Insights Software Developer Co-op,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-02-04T14:37:37.554Z,"
                                                      -
                                                      -
                                                      -

                                                      Location:

                                                      1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                      -

                                                      -

                                                      The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Why is this role important?

                                                      -

                                                      Operational Insights Software Developer Co-op (4mth)

                                                      -

                                                      WHY LOBLAW?

                                                      -

                                                      The Loblaw Supply Chain System Team supports Operations through the digitization and automation of process and reporting. With a plethora of data at your fingertips, you will play a role in ensuring our product – nearly 1billion units of it – makes its way from one of our 3,000 vendors, through one of our 27 distribution centers, to one of our 2,300 locations across Canada, and into the homes of millions of Canadians each year. How’s that for a challenge?

                                                      -

                                                      -

                                                      OPPORTUNITIES

                                                      -

                                                      Are you currently in an undergraduate program that is teaching you the skills required to be a Software Developer? Do you want to add relevant work experience coupled with strong industry knowledge, that will give you a competitive advantage over your classmates? Are you passionate about automation and digital transformation? The Supply Chain Systems Team is offering an exciting opportunity that will play to your unique set of strengths and arm you to tackle truly complex problems in your career;

                                                      -

                                                      -

                                                      ABOUT THE ROLE

                                                      +
                                                      • Providing technology support to audit team
                                                      +

                                                      +

                                                      Requirements

                                                        -
                                                      • The candidate will have several key responsibilities, including:
                                                      • -
                                                      • Rapidly develop architecture, design, prototype and implement software solutions to tackle the Big Data needs in our connected network of operations.
                                                      • -
                                                      • Work with cross-functional teams to understand our customer needs and be able to conceptualize solutions, architect the underlying data connections, and design easy to use user interfaces with a focus on frequent usage.
                                                      • -
                                                      • Work closely with our colleagues in our Distribution Centers across Canada with a focus to improve and streamline user experiences with software & hardware.
                                                      • -
                                                      • Maintains accountability and is focused on results.
                                                      • -
                                                      • Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                                      • -
                                                      • Moderate travel required
                                                      • +
                                                      • Post-secondary education major in Data Science, Engineering, Mathematics, Finance or Computer Science
                                                      • +
                                                      • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, Hadoop, etc.)
                                                      -

                                                      -

                                                      QUALIFICATIONS

                                                      +

                                                      +

                                                      Strategy, Operations & Innovation

                                                      +

                                                      Provide support to the Learning, Methodology, Quality Assurance, Strategy, Communications & Change, Audit Planning, Analysis & Reporting, Project Assurance, Operations and Operational Risk teams within Internal Audit. Key tasks may include:

                                                        -
                                                      • Working towards an undergraduate degree in Computer Science, Computer Engineering, Software Engineering or related fields.
                                                      • -
                                                      • Experience in and/or knowledge of programming languages such as Java, SQL, SAS, Python, SQL, or VBA; with the ability to learn new languages quickly
                                                      • -
                                                      • Experience with Oracle or Teradata databases, Dynamics 365 and Azure is an asset
                                                      • -
                                                      • Knowledge about low-code applications like Appian and Microsoft Power Platform is an asset
                                                      • -
                                                      • Exceptional Microsoft Office skills, including Microsoft Word, Microsoft Excel, Microsoft PowerPoint, with the ability to manipulate data, construct graphical reports, flowcharts and basic functions.
                                                      • -
                                                      • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                                      • -
                                                      • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                                      • -
                                                      • Ability to work effectively in a team driven, fast paced environment to assess needs, provide assistance and resolve problems by using excellent problem-solving skills, verbal and written communication, and explaining technical concepts in layman’s terms.
                                                      • +
                                                      • Training as a Scrum Master to support Audit teams deploying the Agile Audit approach
                                                      • +
                                                      • Project management for internal audit strategic initiatives
                                                      • +
                                                      • Acting as a business analyst on complex, multi-faceted initiatives
                                                      • +
                                                      • Assisting with reporting to the Audit Committee and executive management
                                                      • +
                                                      • Researching leading practices and emerging topics
                                                      • +
                                                      • Assisting with Methodology creation and documentation
                                                      -

                                                      -

                                                      WHAT YOU’LL DO

                                                      +
                                                      • Assisting with creation of dynamic Learning presentations
                                                      +

                                                      +

                                                      Requirements

                                                        -
                                                      • The candidate will be responsible for supporting the discovery, development and delivery of ongoing technological solutions to improve the competitive advantage of Loblaw through continuous business process improvements.
                                                      • -
                                                      • Effectively communicate customer needs and priorities for project planning, development, implementation, maintenance and support.
                                                      • -
                                                      • Use initiative and critical thinking to deal with concerns/issues/setbacks within projects.
                                                      • -
                                                      • Focuses on opportunities to improve and streamline user experiences with software & hardware.
                                                      • -
                                                      • Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                                      • -
                                                      • Analyze, clarify and present the technical components of business issues/needs in a clear and concise format and in a professional, diplomatic and timely fashion.
                                                      • -
                                                      • Excellent grasp of business process and operational workflow modeling.
                                                      • +
                                                      • Post-secondary education major in Business or Accounting
                                                      • +
                                                      • Prior experience in internal audit would be an asset
                                                      -

                                                      -

                                                      -

                                                      How You’ll Succeed:

                                                      -

                                                      At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                      -

                                                      If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                      -

                                                      -

                                                      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                      -

                                                      -

                                                      -

                                                      Employment Type:

                                                      Full time

                                                      -

                                                      -

                                                      Type of Role:

                                                      Temporary (Fixed Term)

                                                      -

                                                      Type of Contract:

                                                      Fixed Term

                                                      -

                                                      -

                                                      -

                                                      Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                      -
                                                      -
                                                      ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Operational-Insights-Software-Developer-Co-op_R2000197679,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-15T14:42:42.363Z,False,0,6,11,https://talenthub.vectorinstitute.ai/jobs/49860888-operational-insights-software-developer-co-op-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Operational-Insights-Software-Developer-Co-op_R2000197679,expired,2021-02-04T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, -cc0659fb-99d8-4186-a217-33c20582ae22,49871644,Intact Financial Corporation,"Senior Data Scientist, Intact Lab",on_site,"Vancouver, BC, Canada",2021-02-04T18:08:12.101Z," - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                                      -

                                                      Are you a machine learning expert who is passionate about using advanced analytics and big data to make a real impact?

                                                      -

                                                      At the Intact Lab, we’re driven by a purpose to help people and we value the opportunity to use data, AI and machine learning to solve real-life customer and business problems. While we believe AI is still in its infancy, we continue to lead our industry and aim to become the best insurance AI shop in the world.

                                                      -
                                                      -
                                                      Your Job
                                                      -

                                                      As a Senior Data Scientist with the Intact Lab, you'll thrive as a technical expert, thought leader, and teacher with our diverse and highly skilled team. You'll leverage your expertise and knowledge of trends in analytics to make recommendations that solve complex problems and promote best practices across the organization. With the support of a passionate team, you will help create real value for both customers and teammates. Enjoy a work experience that promotes work-life balance with one of North America’s recognized best employers.

                                                      -

                                                      WHAT YOU’LL DO HERE

                                                      +

                                                      +

                                                      Anti-Money Laundering and Global Compliance

                                                      +

                                                      Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

                                                        -
                                                      • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                                      • -
                                                      • Transform complex databases into relevant conclusions and recommendations
                                                      • -
                                                      • Keep pace with new approaches and trends and use them in your own solutions
                                                      • -
                                                      • Help maintain our data mining tools and platforms
                                                      • -
                                                      • Make actionable recommendations based on the findings
                                                      • -
                                                      • Work with other departments to promote the adoption of analytical principles within the organization
                                                      • -
                                                      • Validate the quality of the analytical approach and project outputs of the other team members
                                                      • +
                                                      • Participating in audits, control design review, continuous audit review and consulting engagements
                                                      • +
                                                      • Participating in planning sessions to develop audit techniques using data analytics
                                                      • +
                                                      • Using Tableau to develop data analytics and visualization reports
                                                      -

                                                      Work location: Calgary or Vancouver

                                                      -
                                                      -
                                                      Your Skills
                                                      -

                                                      WHAT YOU BRING TO THE TABLE

                                                      +
                                                      • Preparing management reports
                                                      +

                                                      +

                                                      Requirements

                                                        -
                                                      • Your Master’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                                      • -
                                                      • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                                      • -
                                                      • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                                      • -
                                                      • Open-source frameworks: R, Python, GitHub
                                                      • -
                                                      • Expert-level understanding of the underlying theory of machine learning
                                                      • -
                                                      • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                                      • -
                                                      • Your enthusiasm for teamwork
                                                      • -
                                                      • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                                      • -
                                                      • Your strong communication, time management and work organization skills
                                                      • +
                                                      • Interest and experience in Financial Crimes and Anti-Money Laundering (AML), and Regulatory Compliance operations and frameworks for Financial Institutions
                                                      • +
                                                      • High level understanding of the underlying regulatory requirements and guidelines (OSFI Guideline B-8 and E-13) for Financial Institutions
                                                      • +
                                                      • Interest, experience and skills in developing and applying innovative solutions (data analytics and data visualization)
                                                      -

                                                      Here, innovation is everyone’s job and you’ll have the opportunity to make your mark. In return, we promise you the support, opportunities and flexibility to do you life’s best work and be your best self.

                                                      -

                                                      Here are a few reasons why others have joined our team:

                                                      +

                                                      +

                                                      +

                                                      HO2020

                                                      +

                                                      QAA2020

                                                      +

                                                      TAD2020

                                                      +

                                                      +

                                                      +

                                                      +

                                                      About RBC
                                                      Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                      +

                                                      +

                                                      Join our Talent Community

                                                      +

                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      +

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                      +

                                                      +

                                                      Inclusion and Equal Opportunity Employment
                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      +

                                                      +

                                                      +

                                                      JOB SUMMARY

                                                      +

                                                      City: Toronto
                                                      Address: Virtually, at home
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Your Home Office
                                                      Employment Type: [[filter7]]
                                                      Career Level: Student Job
                                                      Pay Type: [[jobGrade]]
                                                      Required Travel (%): [[requiredTravel]]
                                                      Exempt/Non-Exempt: [[exemptionStatus]]
                                                      People Manager: [[peopleManager]]
                                                      Application Deadline: 11/08/2020
                                                      Req ID: 270018

                                                      +

                                                      Ad Code(s):

                                                      +",,https://jobs.rbc.com/ca/en/job/270018/Internal-Audit-Winter-2021-Student-Opportunities,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-11T06:25:02.143Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/41416563-internal-audit-winter-2021-student-opportunities-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +5a01718e-21df-48b6-99e8-11b78e5d2d54,41416607,RBC,"Cyber Security Analyst, Winter 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:41.584Z,"
                                                      +

                                                      What is the opportunity?
                                                      In the new world of more virtual usage, Cyber Security Analysts are in demand. At RBC we are proud to offer roles in the Cyber space. As a Cyber Security Analyst, you will perform exploratory analysis on various data sources and employ statistical techniques to improve the detection of potential cyber threats.

                                                      What will you do?

                                                        -
                                                      • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                      • -
                                                      • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                      • -
                                                      • Flexibility in how and where you work
                                                      • -
                                                      • A comprehensive financial rewards program that recognizes your success
                                                      • -
                                                      • An extensive, flexible benefits package
                                                      • -
                                                      • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                      • -
                                                      • A casual ‘dress for your day’ culture that encourages you to be yourself
                                                      • -
                                                      • A $350 annual wellness account that promotes an active lifestyle
                                                      • +
                                                      • Analyze large amounts of information to discover trends and patterns
                                                      • +
                                                      • Present information using data visualization techniques
                                                      • +
                                                      • Propose solutions and strategies to business challenges
                                                      • +
                                                      • Undertake preprocessing of structured and unstructured data
                                                      -
                                                      -
                                                      Closing Statement
                                                      -

                                                      We are an Equal Opportunity Employer

                                                      -

                                                      At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                      -

                                                      If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                      -

                                                      Background Checks

                                                      -

                                                      As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                      -

                                                      Internal Candidates

                                                      -

                                                      For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                      -

                                                      Eligibility to Work in Canada

                                                      -

                                                      It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                      -
                                                      -
                                                      Referral Bonus
                                                      -

                                                      This role is eligible for employee referral bonus. #myReferrals3000

                                                      -
                                                      -

                                                      ",,https://careers.intact.ca/ca/en/job/IFCOUS12110/Senior-Data-Scientist-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2021-02-16T18:08:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/49871644-senior-data-scientist-intact-lab-at-intact-financial-corporation,,expired,2021-02-04T18:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -64144da1-80ca-493e-8e3f-54cfc1f2cfd4,50289901,BMO Financial Group,Digital Analytics Implementation Specialist,on_site,"Toronto, ON, Canada",2021-02-08T14:35:24.296Z,"

                                                      The Digital Analytics Implementation Specialist will implement measurement capabilities across BMO’s digital properties to drive deep insights of performance and customer behaviours. Provides advice on the configuration, functionality, applicability, and usability for technology solutions relating to data management, analytics, and visualization

                                                      +

                                                      What do you need to succeed?

                                                      +

                                                      Must-have

                                                        -
                                                      • Implement, maintain and recommends analytics solutions for digital marketing analytics, reporting and analysis.
                                                      • -
                                                      • Defines business requirements for analytics and reporting to ensure data insights inform business decision making.
                                                      • -
                                                      • Work closely with development teams to ensure that requirements and data layer has all the elements properly exposed in order to execute analytics tags.
                                                      • -
                                                      • Maintains up-to-date analytics implementation documentation for the data layer, analytics tracking. tags, advertising vendor tags, and automated tag audit libraries.
                                                      • -
                                                      • Ensures data alignment across multiple reporting suites (eVars, props, events).
                                                      • -
                                                      • Actively participates in the design, implementation, and management of new analytics and reporting solutions and provides advice and guidance to assigned business / group on implementation of solutions ensuring alignment of business needs and data requirements between stakeholders.
                                                      • -
                                                      • Develop relationships with key partners across the enterprise and acts as the subject matter expert for internal/external stakeholders.to refine, prioritize, and optimize the digital analytics implementation roadmap.
                                                      • -
                                                      • Develops and manages implementation projects and their properties in tag managers; designs initiatives to improve processes, analysis and reporting (e.g., data layer, JavaScript libraries, etc).
                                                      • -
                                                      • Automates validation tests to improve quality and efficiency of the existing internal validation processes.
                                                      • -
                                                      • Builds effective relationships with internal / external stakeholders.
                                                      • -
                                                      • Maintains tagging libraries that support detailed digital optimization.
                                                      • -
                                                      • Documents and maintains analytical and reporting operational procedures and processes.
                                                      • +
                                                      • Currently enrolled at a Canadian post-secondary institution in a registered Co-op program with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                      • +
                                                      • Leadership acumen and a passion is essential and will be applied in a dynamic business environment
                                                      • +
                                                      • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                      • +
                                                      • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                      • +
                                                      • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                      • +
                                                      • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                      -

                                                      -

                                                      Qualifications:

                                                      +

                                                      +

                                                      Nice-to-have

                                                        -
                                                      • 3+ years’ experience in digital analytics implementations through utilization of tag management tools using Adobe and Google analytics.
                                                      • -
                                                      • Post-graduate degree in business, engineering, computer science or related discipline.
                                                      • -
                                                      • Expert knowledge with core JavaScript, HTML, CSS and modern framework (AngularJS, React, etc.).
                                                      • -
                                                      • Experience with data preparation and data analysis.
                                                      • -
                                                      • Solid knowledge of testing tools “ObservePoint “and “Charles Web Debugging Proxy”.
                                                      • -
                                                      • Experience with Adobe Target and Adobe Audience Manager.
                                                      • -
                                                      • Strong knowledge of Adobe Mobile Services, Adobe Mobile SDK Tools.
                                                      • -
                                                      • Experience with digital measurement tools across multiple channels (e.g. web, social media, mobile, email, search).
                                                      • -
                                                      • Experience with SQL Queries and Adobe Experience Cloud APIs.
                                                      • -
                                                      • Experience using JIRA, Teams, Confluence.
                                                      • -
                                                      • Excellent verbal & written communication skills.
                                                      • -
                                                      • Excellent Analytical and problem-solving skills.
                                                      • -
                                                      • Collaboration & team skills; with a focus on cross-group collaboration.
                                                      • -
                                                      • Exceptional organizational and time management skills and a demonstrated ability to prioritize work in a demanding environment.
                                                      • -
                                                      • Excellent data driven decision making.
                                                      • +
                                                      • Prior experience in data integration of disparate data sources
                                                      • +
                                                      • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                      • +
                                                      • Relational database concepts and design experience
                                                      • +
                                                      • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                      -

                                                      -

                                                      -

                                                      We’re here to help

                                                      -

                                                      -

                                                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                      -

                                                      -

                                                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                      -

                                                      -

                                                      To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                      -

                                                      -

                                                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Analytics-Implementation-Specialist_R200014327,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-03-10T14:35:25.670Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/50289901-digital-analytics-implementation-specialist-at-bmo-financial-group,,expired,2021-02-08T14:35:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -67405f14-3b4a-4b52-93d3-67d0cdbfdbbf,50289910,Loblaw Companies Ltd.,Cloud Infrastructure Operations Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-02-08T14:37:24.809Z,"
                                                      +

                                                      +

                                                      What’s in it for you?

                                                      +

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      +
                                                        +
                                                      • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                      • +
                                                      • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                      • +
                                                      • Leaders who support your development through coaching and learning opportunities
                                                      • +
                                                      • Work in a dynamic, collaborative, progressive and highly performing team
                                                      • +
                                                      • Ability to make a difference and lasting impact
                                                      • +
                                                      • Enjoy a comfortable work environment with the option to dress casually
                                                      • +
                                                      +

                                                      +

                                                      We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is November 8, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                      +

                                                      +

                                                      While there is no one date when our employees will return, we can confirm that the majority of Winter Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                      TAD2020

                                                      +

                                                      +

                                                      Learn more about RBC Tech Jobs

                                                      +

                                                      +

                                                      About RBC
                                                      Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                      +

                                                      +

                                                      Join our Talent Community

                                                      +

                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      +

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                      +

                                                      +

                                                      Inclusion and Equal Opportunity Employment
                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      +

                                                      +

                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 330 Front Street West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: [[filter7]]
                                                      Career Level: Student Job
                                                      Pay Type: [[jobGrade]]
                                                      Required Travel(%): [[requiredTravel]]
                                                      Exempt/Non-Exempt: [[exemptionStatus]]
                                                      People Manager: [[peopleManager]]
                                                      Application Deadline: 11/08/2020
                                                      Req ID: 272157

                                                      +

                                                      Posting Notes:

                                                      +
                                                      ",,https://jobs.rbc.com/ca/en/job/272157/Cyber-Security-Analyst-Winter-2021-Student-Opportunities,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-11T06:25:01.692Z,False,0,3,4,https://talenthub.vectorinstitute.ai/jobs/41416607-cyber-security-analyst-winter-2021-student-opportunities-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +c6354564-19db-426a-bc4a-097aeeb75eb3,41416648,RBC,Chief Architect - Enterprise Payments,on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:45.839Z,"
                                                      +

                                                      What is the opportunity?

                                                      +

                                                      RBC Enterprise Payments Technology is hiring a Chief Architect. You will be a recognized internal technical expert, focusing on both the strategic direction and leadership to major transformational initiatives and large complex portfolios to ensure the alignment of business objectives/requirements and technology strategies. The role is accountable for decisions influencing the success and output of the architecture group. You will also be expected to seek, assess and understand new industry practices and technology in order to drive the Digital Bank and Enterprise architecture and technology strategies forward. Lastly, the role is considered a thought leader and provides coaching and mentoring to all levels within architecture.

                                                      +

                                                      +

                                                      What will you do?

                                                      +
                                                        +
                                                      • Lead and participate as a deep technical experts in Architecture review boards, approving architectural decisions made on programs and projects or by portfolio owners
                                                      • +
                                                      • Provide project oversight to solution architects and mentor the design work for areas that are new to the team or high complexity
                                                      • +
                                                      • Consult and provide direction in early stages of the lifecycle, recommending best ways to design conceptual architectures; brings expertise in performance, scalability, enterprise architecture, and architectural best practices
                                                      • +
                                                      • Provide architect on projects with an expert understanding of architectures across other platforms and/or programs
                                                      • +
                                                      • Responsible for driving the solution and process innovation and adoption of emerging technology at RBC including but not limited to Digital Bank
                                                      • +
                                                      • Key lead contributor and influencer to Build vs. Buy recommendations and decisions based on deep analysis of architectural implications, requirements or constraints; stands up proofs- of-concept for next generation technology, tests and proves out scenarios that meet business objectives
                                                      • +
                                                      • Expert technical influence over multiple teams, increasing their productivity and effectiveness by sharing deep knowledge and experience
                                                      • +
                                                      • Responsible for driving skill development strategy in the Architecture space – in relation to innovative technologies; Coach and mentor the next generation of “technical experts” within T&O for career development, succession planning and spreading the technological knowledge in this space
                                                      • +
                                                      +

                                                      +

                                                      What do you need to succeed?

                                                      +

                                                      Must-have

                                                      +
                                                        +
                                                      • Over 10 years’ experience developing enterprise level architectural solutions
                                                      • +
                                                      • 6+ years’ experience developing architectural solutions with the intent to introduce new technologies into a mature organization
                                                      • +
                                                      • Proven experience with Data Architecture, Data Analytics and Business Analysis with demonstrated ability to lead research and architecture for emerging technologies
                                                      • +
                                                      • Ability to communicate, build and nurture relationships with business and industry leaders
                                                      • +
                                                      • Experience and enthusiasm developing blueprints that tie business objectives to operational requirements aligning architecture with organizational strategic direction
                                                      • +
                                                      • Experience in solving high complexity business challenges with Executive visibility leveraging existing or emerging technologies
                                                      • +
                                                      +

                                                      +

                                                      Nice-to-have

                                                      +
                                                        +
                                                      • Master’s Degree in Business, Computer Science, or Engineering preferred
                                                      • +
                                                      • International payments experience and knowledge of technology trends in the industry worldwide.
                                                      • +
                                                      +

                                                      +

                                                      What’s in it for you?

                                                      +

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      +
                                                        +
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                      • +
                                                      • Leaders who support your development through coaching and managing opportunities
                                                      • +
                                                      • Ability to make a difference and lasting impact
                                                      • +
                                                      • Work in a dynamic, collaborative, progressive, and high-performing team
                                                      • +
                                                      • Opportunities to do challenging work
                                                      • +
                                                      • Opportunities to take on progressively greater accountabilities
                                                      • +
                                                      • Opportunities to building close relationships with clients
                                                      • +
                                                      • Access to a variety of job opportunities across business and geographies
                                                      • +
                                                      +

                                                      +

                                                      +

                                                      Learn more about RBC Tech Jobs



                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 180 Wellington St W
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Senior Manager/Director
                                                      Pay Type: Salary + Variable Bonus
                                                      Required Travel(%): 0-25
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Application Deadline: 11/29/2020
                                                      Platform: Technology and Operations

                                                      Req ID: 252376
                                                      Ad Code(s):

                                                      +

                                                      +
                                                      ",,https://jobs.rbc.com/ca/en/job/252376/Chief-Architect-Enterprise-Payments,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.679Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/41416648-chief-architect-enterprise-payments-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, +1881776c-d964-4643-905d-3c57695b6137,41416749,RBC,"Senior Manager, Partnership Analytics - RBC Ventures",on_site,"Toronto, Ontario, Canada",2020-11-04T06:21:59.123Z,"
                                                      +

                                                      What is the opportunity?
                                                      RBC Ventures is new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

                                                      +

                                                      The Partnership Analytics team combines industry knowledge with big data to solve strategic problems for RBC's external corporate partners. In this role, you will design & deliver on our vision to create a suite of data products that can solve for external partners business problems in a scalable manner. You will have end-to-end accountability from opportunity identification, strategy development, and execution for external RBC partners. You will ultimately be responsible for developing data driven recommendations for Senior Executives and client partners to deliver business results.

                                                      +


                                                      What will you do?
                                                      • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights to help our external partners grow their business.
                                                      • Manage the delivery of consultancy engagement to external partners
                                                      • Regularly present recommendations & opportunities to senior executives and client partners.
                                                      • Provide analytical subject matter expertise to define data driven client strategies including:
                                                      • Provide recommendations on new/re-design of strategies, supported by analytics
                                                      • Design, develop and maintain predictive and segmentation models, including data acquisition, testing, validation, deployment and refinement of these models
                                                      • Utilize machine learning and other advanced data tools to solve business problems
                                                      • Iterate and measure success of initiatives and engagements.

                                                      +


                                                      What do you need to succeed?
                                                      Must-have
                                                      • 5+ years of experience in Business Analytics
                                                      • 5+ year of experience in SQL and other data analytics tools
                                                      • 2+ years of experience in people leadership – with a track record of developing talent investments.
                                                      • University degree in a quantitative field of study (e.g., statistics, economics, business) to demonstrate ability for critical thinking & numerical analytics.
                                                      • Experience in / an interest in learning advanced analytics methodologies and tools (Python, R, machine learning, data visualization tools, etc.).
                                                      • Exceptional problem solving skills with the ability to innovate.
                                                      • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions.
                                                      • Comprehensive knowledge on building segmentation and predictive models.
                                                      • Excellent communication and presentation skills with the integrity and confidence to liaise with executives and senior management.
                                                      • High degree of organization and ability to multitask and shift priorities.
                                                      • Self-starter with a very strong passion for using data to influence business decisions and strategic

                                                      +

                                                      +

                                                      Nice to have:
                                                      • Experience in loyalty, rewards, consumer insights

                                                      What’s in it for you?
                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                      o Ability to make a difference and lasting impact
                                                      o Work in a dynamic, collaborative, progressive, and high-performing team
                                                      o Opportunities to do challenging work

                                                      +


                                                      RBCVentures

                                                      +

                                                      +

                                                      +

                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 20 Bay Street, 17th Floor
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Senior Manager/Director
                                                      Pay Type: Salary + Variable Bonus
                                                      Required Travel (%): 0-25
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: Yes
                                                      Application Deadline: 11/20/2020
                                                      Platform: Strategy

                                                      Req ID: 288405
                                                      Ad Code(s):

                                                      +

                                                      +

                                                      +
                                                      ",,https://jobs.rbc.com/ca/en/job/288405/Senior-Manager-Partnership-Analytics-RBC-Ventures,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-23T06:25:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/41416749-senior-manager-partnership-analytics-rbc-ventures-at-rbc,,expired,2020-11-04T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8a692469-dd78-47c0-862a-1b60184296eb,41416895,Accenture,GCP Data Engineering Manager,on_site,Ontario - Toronto,2020-11-04T06:22:29.359Z,"

                                                      Job Description

                                                      WeAre:

                                                      +

                                                      +

                                                      AppliedIntelligence, the people who love using data to tell a story. We’re also theworld’s largest team of data scientists, data engineers, and experts in machinelearning and AI. A great day for us? Solving big problems using the latesttech, serious brain power, and deep knowledge of just about every industry. Webelieve a mix of data, analytics, automation, and responsible AI can do almostanything—spark digital metamorphoses, widen the range of what humans can do,and breathe life into smart products and services. Want to join our crew ofsharp analytical minds? Visit us here to find out moreabout Applied Intelligence.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      YouAre:

                                                      +

                                                      +

                                                      AnAI, machine learning, and statistical programming guru with tons of experiencein data engineering architecture. Your superpower? Applying modern data andcloud technologies to design and build stand-out data solutions that helpclients meet the challenges of digitization so they can do more. You’re in yourelement juggling modern data technologies like Hadoop and NoSQL and you knowhow to use them to forge a modern data platform. As a senior manager, you haveleadership skills in spades and expertise in managing large teams and/orprojects at a client.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      TheWork:

                                                      +

                                                      +
                                                      • Oversee efforts to provide solutions to digital-age data challenges facing clients in multiple industries

                                                      • Design and build an ecosystem of modern data technologies on premise and on GCP cloud

                                                      • Revamp the current platform by re-engineering data acquisition, storage, processing, security, data management, governance, and analysis

                                                      • Work with clients to define the future-state architectures of their data platforms and play a lead role in setting up a roadmap to reach that state

                                                      • Spot and assess complex problems for area(s) you’re in charge of

                                                      • Take part in setting strategic direction to set near-term goals for area(s) of responsibility

                                                      • Possess a solid grasp of what’s involved in planning, scaling, deployment, and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies

                                                      • +
                                                      +
                                                      +
                                                      READ MORE OF THE JOB DESCRIPTION

                                                      +

                                                      Qualifications

                                                      +

                                                      Here’sWhat You Need:

                                                      +

                                                      +
                                                      • Minimum 5+ years of architecting, implementing, and successfully operationalizing large-scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on GCP using many of the relevant technologies such as BigQuery, DataProc, Sub/Pub.

                                                      • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                                      • Minimum 5+ years of Spark/MR/ETL processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                                      • Minimum 5+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                                      • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                                      • +
                                                      +

                                                      BonusPoints :

                                                      +

                                                      +
                                                      • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                                      • You have a minimum of 5+ years of experience implementing large-scale secure cloud data solutions using Google data and analytics services—e.g., BigQuery, DataProc

                                                      • You have a minimum of 5+ years of experience building data management (metadata, lineage, tracking, etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on Google cloud

                                                      • You have a minimum of 5+ years of Re-architecting and rationalizing traditional data warehouses on premise or transition to Google cloud

                                                      • +
                                                      +

                                                      Weare a global collective of innovators applying the New every day to improve theway the world works and lives. Help us show the world what’s possible as youpartner with clients to unlock hidden value and deliver innovativesolutions. Empowered with innovative tools, continuous learning and a globalcommunity of diverse talent and perspectives, we drive success in a newbusiness architecture that disrupts conventional practices. Our expertise spans40+ industries across 120+ countries and impacts millions of lives everyday. We turn ideas into reality.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      OurCommitment to Inclusion & Diversity

                                                      +

                                                      AtAccenture, inclusion and diversity are fundamental to our culture and embeddedin our core values. We are committed to creating a workforce where our peoplecan feel comfortable, be themselves and contribute. Like Canada itself,Accenture employees represent a tremendous variety of cultures, ethnicities,beliefs, backgrounds and languages. We offer an inclusive environmentregardless of personal characteristics such as ethnicity, religion, gender,sexual orientation, gender identity or expression, age or disability.

                                                      +

                                                      +

                                                      Requestingan Accommodation

                                                      +

                                                      +

                                                      Accentureis committed to providing equal employment opportunities for persons withdisabilities or religious observances, including reasonable accommodation whenneeded. If you are hired by Accenture and require accommodation to perform theessential functions of your role, you will be asked to participate in ourreasonable accommodation process. Accommodations made to facilitate therecruiting process are not a guarantee of future or continued accommodations oncehired.

                                                      +

                                                      +

                                                      Ifyou would like to be considered for employment opportunities with Accenture andhave accommodation needs for a disability or religious observance, please callus toll free at 1 (877) 889-9009, send us an email or speak with yourrecruiter.

                                                      +

                                                      +

                                                      OtherEmployment Statements

                                                      +

                                                      +

                                                      Itis currently our objective to assign our people to work near where theylive. However, given the nature of our business and our need to serveclients, our employees must be available to travel when needed.

                                                      +

                                                      +

                                                      Jobcandidates are not required to disclose any offence for which a pardon has beengranted.

                                                      +
                                                      +

                                                      Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                      +

                                                      Equal Employment Opportunity Statement

                                                      +

                                                      All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                      +

                                                      Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                      +

                                                      Requesting An Accommodation

                                                      +

                                                      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                      +

                                                      If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                      +

                                                      Other Employment Statements

                                                      +

                                                      Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                      +

                                                      The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                      APPLY NOW
                                                      To apply from a mobile device, your CV must be in the cloud. Not Ready? Send this job to an email addressTo apply from a tablet device, your CV must be in the cloud. Not Ready? Send this job to an email address
                                                      ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00867714_en&title=GCP+Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-11-27T06:27:14.284Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/41416895-gcp-data-engineering-manager-at-accenture,,expired,2020-11-04T06:22:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +cb278c8e-ad46-410d-b0e6-158e1dcaaebf,41417100,Loblaw Companies Ltd.,"Data Science Analyst,Customer Analytics/CRM - Attributes",on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-04T06:28:18.057Z,"

                                                      Location:

                                                      1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                      @@ -18487,50 +17711,67 @@ cc0659fb-99d8-4186-a217-33c20582ae22,49871644,Intact Financial Corporation,"Seni

                                                      Why is this role important?

                                                      -

                                                      Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                      +

                                                      The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                      +

                                                      +

                                                      Why is this role important?

                                                      +

                                                      +

                                                      Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                      If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                      +

                                                      The Data, Insights & Analytics team at Loblaw is hiring an Data Science Analyst. Reporting to the Senior Data Scientist, Data, Insights & Analytics, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                      -

                                                      The Data & Analytics team at Loblaw is hiring a Cloud Infrastructure Operations Analyst to set up, deploy and support Big Data infrastructure in our cloud. Responsibilities include:

                                                      +

                                                      What You'll Do:

                                                        -
                                                      • Participate in design and architecture discussions
                                                      • -
                                                      • Daily administration of cloud and on-prem systems
                                                      • -
                                                      • Work on Changes, Incidents, Releases and Problems
                                                      • -
                                                      • Be passionate and excited about your work
                                                      • -
                                                      • Work with equally passionate and excited people
                                                      • +
                                                      • Be end-to-end responsible for multiple Data Science projects. Deploy/Automate Predictive/Optimization models or workloads; be responsible for project pipelines/model documentation and maintenance.
                                                      • +
                                                      • Responsible for the extraction and analysis of complex information from a variety of databases as well as gathering unstructured data through web-scraping and other sources.
                                                      • +
                                                      • Translating learnings from the Decision Insights team’s data sciences initiatives into standardized data science product prototypes. Data science initiatives can be strategic in nature or of a tactical focus, including but not limited to customer genome/customer attributes building, consumer path analytics, product associations and recommendations, marketing campaigns, consumer based predictive models etc.
                                                      • +
                                                      • Analyze data to help determine insights to solve business problems; simplify and optimize the decision-making process through data products development and automation.
                                                      • +
                                                      • Research, develop and scale our data-driven systems particularly on customer-centric ML models and attributes.
                                                      • +
                                                      • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                      • +
                                                      • +Act as gatekeeper with regards to security and confidentiality of data obtained through all sources. Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information +

                                                      What You'll Bring:

                                                        -
                                                      • 5+ Years Linux Administrator
                                                      • -
                                                      • 3+ Years Cloud administration (GCP, Azure, AWS)
                                                      • -
                                                      • Excellent communication skills
                                                      • -
                                                      • With a strong understanding of:
                                                          -
                                                        • Infrastructure as code (Teraform)
                                                        • -
                                                        • Networking skills (connectivity, firewall, protocols, etc)
                                                        • -
                                                        • IT Config Management tools (Salt, Ansible, Puppet)
                                                        • -
                                                        • Code Management tools (Github, Bitbucket)
                                                        • -
                                                        • Bash and Python scripting
                                                        • -
                                                        • Installing and setting up Databases (Postgres, MySQL)
                                                        • -
                                                        • Ticketing systems (ServiceNow, Jira)
                                                        • -
                                                        • IT Security Best Practices
                                                        • -
                                                        -
                                                      • +
                                                      • BS (2+ years of industry experience)/MS in Data Science, Computer Science, Statistics, Mathematics, Engineering or other relevant fields.
                                                      • +
                                                      • Programming skills with SQL, Python, PySpark/Scala.
                                                      • +
                                                      • Strong knowledge with applied understanding of statistical modelling, machine learning and data mining.
                                                      • +
                                                      • Expertise in software engineering at scale, along with proficiency in using industry-standard development tools such as Git.
                                                      • +
                                                      • Software/data engineering or analytics experience with a focus on algorithm implementation, code deployment and productionization is preferred.
                                                      • +
                                                      • Experience with deep learning is an asset.
                                                      • +
                                                      • Knowledge of NLP is an asset.
                                                      • +
                                                      • Knowledge of data management practices and standards.
                                                      • +
                                                      • Understanding of Google Cloud Platform (GCP), Azure Data Engineering Stack, and other big data tools/technologies (HDFS, HBase, Spark, Kafka).
                                                      • +
                                                      • Experience with Teradata, Databricks and Google Cloud platform is an asset.
                                                      • +
                                                      • Retail analytics experience with a marketing focus is an asset.
                                                      • +
                                                      • Ability to take initiative, be responsible, accountable and multi-tasking in a fast-paced environment.
                                                      • +
                                                      • Strong detail orientation is essential in this role.
                                                      • +
                                                      • Strong oral and written communication skills.
                                                      • +
                                                      • A team player, self-starter, dynamic problem solver and data science enthusiast.

                                                      -

                                                      What You Can Expect:

                                                      +

                                                      What You Can Expect:

                                                      We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                      +

                                                      Other perks of joining Loblaw:

                                                      • Competitive compensation and benefits package
                                                      • -
                                                      • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                      • +
                                                      • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!) with flexibility to work elsewhere
                                                      • A flexible work environment which values balance
                                                      • Colleague Discount Program
                                                      • Tuition reimbursement Program
                                                      • Employee Share Ownership plan
                                                      • Pension Plan
                                                      +

                                                      If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                      We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                      +

                                                      How You’ll Succeed:

                                                      +

                                                      At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                      +

                                                      If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                      +

                                                      In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                      +

                                                      How You’ll Succeed:

                                                      At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                      @@ -18542,6 +17783,8 @@ cc0659fb-99d8-4186-a217-33c20582ae22,49871644,Intact Financial Corporation,"Seni

                                                      Employment Type:

                                                      Full time

                                                      Type of Role:

                                                      Regular

                                                      +

                                                      Type of Contract:

                                                      +

                                                      Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                      @@ -18550,350 +17793,271 @@ cc0659fb-99d8-4186-a217-33c20582ae22,49871644,Intact Financial Corporation,"Seni

                                                      Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                      -
                                                      ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Infrastructure-Operations-Analyst_R2000198290,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-11T14:43:09.048Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/50289910-cloud-infrastructure-operations-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Infrastructure-Operations-Analyst_R2000198290,expired,2021-02-08T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -1a369340-35dd-4b77-94bb-9b27014b2d1b,50522634,Roche,Global Analytics Solution Leader,on_site,"Mississauga, ON, Canada",2021-02-10T15:19:36.143Z,"

                                                      Title: Global Analytics Solution Leader

                                                      -

                                                      Department: Pharma Technical Supply Chain- Data & Analytics

                                                      -

                                                      Location: Mississauga, ON Canada

                                                      -

                                                      -

                                                      The Pharma Technical (PT) Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organization, delivering priority projects, advancing the analytical maturity of the organization, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                                      -

                                                      -

                                                      Summary:

                                                      -

                                                      As a Leader in the newly formed PT Global Analytics Hub, the Analytics Solution Leader will lead the design and execution of next generation analytical solutions. Realizing organizational priorities, generating programs of actionable insights, and driving data and analytical capability by leveraging advanced analytics and utilizing cloud technologies.

                                                      -

                                                      -

                                                      Not a hands-on technical developer role, however familiarity and comfort with modern technologies and patterns is essential, including: Cloud-based data & analytics platforms, Big Data analytics, predictive analytics and modeling, AI and machine learning.

                                                      +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science-Analyst-Customer-Analytics-CRM---Attributes_R2000194107,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-11T06:24:00.000Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/41417100-data-science-analyst-customer-analytics-crm-attributes-at-loblaw-companies-ltd,,expired,2020-11-04T06:28:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +6eb222f0-8df0-45b6-849f-02284f9affb7,41662991,Scotiabank,"Sr. Manager, Data Integration",on_site,"Toronto, ON, Canada",2020-11-09T20:19:09.928Z,"

                                                    Requisition ID: 90197

                                                    -

                                                    In this role, you will provide best-fit architectural solutions for one or more projects, creating the vision, defining scope and anchoring proof of concept developments.

                                                    +

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    Responsibilities:

                                                    +

                                                    The Team

                                                    +

                                                    In partnership with the Customer Insights Data and Analytics teams and our IT partners the Data and Analytics Technology team supports the banks Data and Analytics needs with tooling, projects and IT operational support.

                                                    +

                                                    The Role

                                                    +

                                                    The Sr Manager Data Integration role will be responsible for the Platform designing, building, monitoring, tuning, and troubleshooting bank wide initiatives supported by Data and Analytics Technology. This consists of platform building, tooling, integration, process automation, platform enhancement, and delivery of new projects.

                                                    +

                                                    Some of the key accountabilities include:

                                                      -
                                                    • Define, own, and drive projects delivering analytics and technology architecture. Provide solution designs to direct project execution teams for implementation.
                                                    • -
                                                    • Manage and drive large cross functional projects involving SME's and partners at all levels of the organization
                                                    • -
                                                    • Provide strategic data and analytics architectural assessments, strategies, and roadmaps for one or more areas of focus.
                                                    • -
                                                    • Lead projects from a solution architecture, vision, and value point of view. Work with Product Owner/Business Analysts to define and understand the expected value, as well as the functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.
                                                    • -
                                                    • Establish the appropriate and relevant analytics vision, architecture, and program, and drive a common vision, practices and capabilities across teams.
                                                    • -
                                                    • Engage with business stakeholders to understand their needs and capabilities, integrating business knowledge with technical solutions.
                                                    • -
                                                    • Engage with technical architects and IT functions to determine the most appropriate technical strategy and designs to meet business needs.
                                                    • -
                                                    • Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change.
                                                    • -
                                                    • Bypass roadblocks created by standard Roche processes to effectively try new ideas and ways of working, through effective stakeholder management to deliver results in short periods of time
                                                    • -
                                                    • Support the effort to build a collaboration network within Roche for Analytics and Cloud Technology related topics, ensuring regular exchange
                                                    • -
                                                    • Act as a role model for analytics best proactive and digital transformation, proactively coaching colleagues into the concepts
                                                    • +
                                                    • Responsible for planning, executing and delivering projects and other initiatives & Ensuring clarity around priorities and goals.
                                                    • +
                                                    • Provide status reports, resolve conflicts, enable teams & Work with senior management and other peers for strategy development and execution planning
                                                    • +
                                                    • Manage a team of high performing and skilled resources, mentor them, provide coaching, perform HR & other admin functions as required.
                                                    • +
                                                    • Perform duties as required for running a department like working with Audit, compliance, finance team.
                                                    • +
                                                    • Encourage team members to openly share ideas, make decision, drive collaboration across teams.
                                                    • +
                                                    • Build Big-Data and Data Science platform and frameworks using Big-Data and Distributed compute technologies.
                                                    • +
                                                    • Participate in and build tools to diagnose and fix complex distributed systems handling petabytes of data & drive opportunities to automate infrastructure deployments, and observability of data services.
                                                    • +
                                                    • Troubleshoot, system capacity, bottlenecks, basics of memory, CPU, kernel, and storage.
                                                    • +
                                                    • Test, monitor, administer, optimize and operate multiple big data clusters on premise and/or in cloud.
                                                    • +
                                                    • Partner with ETL developers in building best practices for Data Warehouse and analytics environment.
                                                    • +
                                                    • Investigate emerging technologies in big data space that relate to our needs and implement those technologies.
                                                    • +
                                                    • Documents and maintains operational procedures and processes.
                                                    • +
                                                    • Maintains effectiveness of data management processes to be complied with bank's policies and standards.
                                                    • +
                                                    • Understand of change control processes and write change requests.
                                                    -

                                                    -

                                                    Qualifications:

                                                    -

                                                    -

                                                    Roche is looking for enthusiastic solution leaders and visionaries, who enjoy solving tough industry and technical problems, and designing and building tools, which elevate the efficiency and effectiveness of operational processes, informed strategy, and enable optimal customer experience.

                                                    -

                                                    The role requires strong communication and interaction skills with a keen ability to present a message and point of view, and the ability to influence and lead at all organizational levels, including senior leadership. With an internal consultant approach, the Analytics Solution Leader must have a deep understanding of project management best practice and proven experience in finding the optimum balance of an agile and yet robust approach to driving a project from initial vision and requirements generation and all the way through to completion and delivery.

                                                    +

                                                    What You Will Bring to Succeed

                                                      -
                                                    • BS/MS/Ph.D Degree in Data Science, Business, Computer Science or similar.
                                                    • -
                                                    • 5+ Years proven experience in Project Leadership of cross-functional initiatives.
                                                    • -
                                                    • 10+ years experience in Analytics / Data Science.
                                                    • -
                                                    • Fluent and current on analytics tools and data architecture trends with an eye on market/technical conditions and future direction.
                                                    • -
                                                    • Demonstrate behaviours of VACC as a leader (Visionary, Architect, Coach, Catalyst)
                                                    • -
                                                    • Superior verbal and written communication skills with the ability to present and sell solutions/concepts to other architects and to business users and stakeholders.
                                                    • -
                                                    • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization).
                                                    • -
                                                    • Experience in a professional services / consulting firm is an asset.
                                                    • -
                                                    • Strong Project Management understanding and recognition of PMBOK best practices.
                                                    • -
                                                    • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                                                    • -
                                                    • Self-driven and proactive, comfortable to deliver as a team leader, team member and individual contributor
                                                    • -
                                                    • Ability to effectively communicate and influence others across ALL levels of the organization in order to drive transformational change
                                                    • -
                                                    • Knowledge in big data, advanced analytics, business intelligence platforms and other high tech macro trends.
                                                    • -
                                                    • Financial and Business Acumen including business case development
                                                    • -
                                                    • Knowledge of: SCRUM, Agile Methodologies, Change Management, Project Management.
                                                    • -
                                                    • Significant experience in defining new solution architectures and ability to drive an independent project from an architectural standpoint.
                                                    • -
                                                    • Highly proficient in authoring, editing and presenting both business and technical documents.
                                                    • -
                                                    • Ability to elicit requirements and communicate clearly with non-technical individuals, development teams, and other ancillary project members.
                                                    • -
                                                    • Excellent problem-solving skills.
                                                    • -
                                                    • Mobility: Ability to travel up to 30%
                                                    • +
                                                    • 5 + years of recent experience in data engineering, handling services in a large-scale distributed systems environment.
                                                    • +
                                                    • Exposure to data lineage, meta data management and ETL tools like Collibra/Atlas/IGC, Erwin and DataStage/ Talend / Diyotta
                                                    • +
                                                    • A solid track record of data management showing your flawless execution and attention to detail.
                                                    • +
                                                    • Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks
                                                    • +
                                                    • Experience implementing and using streaming platforms such as SparkSQL, Flink, Kafka, Storm, etc.
                                                    • +
                                                    • Knowledge of Linux operating system internals, file systems, disk/storage technologies and storage protocols and networking stack
                                                    • +
                                                    • Experience with cluster / Grid environment and integration among applications, data (Mulesoft exp is a plus)
                                                    • +
                                                    • Proven knowledge of systems programming (bash and shell tools) and/or at least one scripting language (Java, Python, Ruby, Perl)
                                                    • +
                                                    • Experience with RDBMS and/or NoSQL (e.g. ORACLE, MySQL, PostgreSQL, MongoDB, Cassandra)
                                                    • +
                                                    • Experience with building DevOps/deployment pipelines with Ansible and other related technologies
                                                    • +
                                                    • Experience with Docker or other containerization technologies (Kubernetes e.g.)
                                                    • +
                                                    • Experience in supporting or developing Micro Services, Serverless architecture, Service Oriented Architecture, Web Services, or Data Processing Pipeline
                                                    • +
                                                    • Exposure to working on cloud platforms like Azure/GCP/AWS
                                                    • +
                                                    • Experience with Agile/Scrum development methodologies
                                                    • +
                                                    • Team player with strong communication skills (verbal and written)
                                                    • +
                                                    • Able to see tasks through to completion without significant guidance
                                                    • +
                                                    • Self-managed and results-oriented with sense of ownership is required
                                                    • +
                                                    • Bachelor's degree or better in Computer Science, Mathematics or relevant.

                                                    -

                                                    Qualified candidates are encouraged to submit cover letter and resume no later than February 16, 2021.

                                                    -

                                                    -

                                                    This position is not eligible for relocation support.

                                                    -

                                                    This position is open to applicants legally authorized to work in Canada.

                                                    -

                                                    -

                                                    NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                    -

                                                    Roche is an equal opportunity employer and prohibits unlawful discrimination based upon any legally protected ground. Roche will make a good faith effort to accommodate the individual needs of applicants with disabilities in our recruitment process

                                                    -

                                                    -

                                                    AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                    ",,https://roche.wd3.myworkdayjobs.com/en-US/roche-ext/job/Global-Analytics-Solution-Leader_202101-102208,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-02-22T16:49:00.000Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/50522634-global-analytics-solution-leader-at-roche,,expired,2021-02-10T15:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -c4125ed5-df61-4271-bc9e-e00b13db2c14,50737691,CIBC,DevOps Automation Developer,on_site,"Toronto, ON, Canada",2021-02-11T14:31:41.812Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    -

                                                    What You’ll Be Doing

                                                    -

                                                    -

                                                    You’ll be a key part of an innovative, “first to market” technology culture, contributing to CIBC’s digital transformation journey. As C# Automation Developer you will help accelerate our transformation and optimize the way we develop and deliver code to ultimately bring high value to our clients. Your passion around delivering high quality products through continuous optimization and automation will help the performance of our applications; cultivate a high performing team environment. You will collaborate with partners in application development, quality assurance, operations, infrastructure, and business partners across various technology groups to deliver high quality products.

                                                    -

                                                    -

                                                    How You’ll Succeed

                                                    -

                                                    +

                                                    The Workplace

                                                      -
                                                    • -DevOps Champion – Drive, design, develop, implement, and maintain deployment automation from code check-in to production. As a change agent, promote an optimized and simplified lifecycle experience for our internal/external partners throughout the entire deployment pipeline. Collaborate with teams using agile and DevOps principles with a strong focus on cultural and people change management. Continuously improve software engineering practices within your team utilizing your passion for automation technology.
                                                    • -
                                                    • -Continuous Integration & Deployment (CI/CD) – Interact with various delivery teams to take code from development to production and ensure excellent performance, stability, reliability and increase flow. Ensure software configuration management (SCM) and infrastructure tools, such as GitHub, Jenkins, Azure Devops(ADO), Artifactory, TFS, VSTS, Jira, and Confluence, are current, reliable and operational. Support application development/operations projects by priming, executing and troubleshooting SCM activities such as source control, build, packaging, deployment, and code quality reporting.
                                                    • -
                                                    • -Experimentation and Innovation – Challenge the status quo, look for opportunities to improve and optimize the delivery process. Increase our production monitoring and infrastructure automation capabilities.
                                                    • +
                                                    • We are technology partners who help the business transform how our employees around the world work
                                                    • +
                                                    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                    • +
                                                    • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                    • +
                                                    • We foster an environment of innovation and continuous learning
                                                    • +
                                                    • We care about our people, allowing them to design how they work to deliver amazing results
                                                    • +
                                                    • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                                    +

                                                    #INTECH

                                                    -

                                                    Who You Are

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    -
                                                      -
                                                    • -You can demonstrate experience with: Designing and implementing high quality software (ideally 3+ years) using C#/.Net, .Net Core,RESTful API and are well versed with application Automation (testing/production monitoring/flow/failure recovery etc.). This role requires someone with a pulse on innovative technology, including extensive scripting (PowerShell, Batch) experience within a Windows environment. Expertise with SQL Server and SSIS/SSRS/SSAS is also required. It’s an asset if: You have knowledge of TDD and you can demonstrate experience working in an Agile environment as well as DevOps and CICD (Continuous Integration Continuous Development).
                                                    • -
                                                    • -You have a degree/diploma in Computer Science, SW Engineering/or related programming degree/diploma.
                                                    • -
                                                    • -You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • -
                                                    • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • -
                                                    • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • -
                                                    • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                    • -
                                                    +

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Data-Integration-ON/542143917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-12-11T14:13:33.616Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/41662991-sr-manager-data-integration-at-scotiabank,,expired,2020-11-09T20:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +35d088c6-9c04-4c1e-b351-ad3f7602d045,41662994,BMO Financial Group,"Analyst, Channel Analytics",on_site,"Toronto, ON, Canada",2020-11-09T20:31:44.807Z,"

                                                    The Channels Analyst is responsible for developing automated, scalable reporting and analytics solutions for Canadian Personal & Business Banking. This position will support omni-channel analytics through delivery of reporting, insights and measurement in line with Enterprise strategy and Digital Acceleration.

                                                    -

                                                    *The successful candidate for this role may be on call at times, and required to be accessible 24/7

                                                    +

                                                    The incumbent will act as reporting and analytics subject matter expert for the Digital Channels portfolio while also supporting North American Customer Contact Centre, combining both business and technology acumen to generate and maintain reporting in various forms (ad-hoc analyses, data visualization, self-serve BI).

                                                    -

                                                    What CIBC Offers

                                                    +

                                                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      -
                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive
                                                    • -
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • +
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • +
                                                    • Build Power BI Dashboards from scratch and maintain existing reporting
                                                    • +
                                                    • Data curation – extracting data from multiple sources, manipulating and validation using database tools. Must have SAS, SQL skills and experience +
                                                    • +
                                                    • Identify, analyze and interprets trends of patterns in complex data set. Analyze data to drive business decisions and actionable recommendations
                                                    • +
                                                    • Assimilate and analyze information from a variety of sources, make recommendations and present information in an easy and understandable manner
                                                    • +
                                                    • Develop in-depth understanding of BMO data and systems (IDP, CAD, CDW, Adobe)
                                                    • +
                                                    • Comfortable with ambiguity – self-learner able to independently navigate complex data
                                                    • +
                                                    • Work proactively and collaboratively with key clients and stakeholders to continuously enhance reporting
                                                    • +
                                                    • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                                                    • +
                                                    • Works independently on a range of complex tasks, which may include unique situations.

                                                    -

                                                    What You Need to Know

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    • Qualifications:
                                                    • +
                                                    • Typically between 4 - 6 years of relevant experience in business intelligence/ ETL, analytics and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Strong experience within data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R/Python - In depth
                                                    • +
                                                    • Experience implementing data visualization (Power BI) In depth
                                                    • +
                                                    • Strong logical thinking, analytical and problem solving skills;
                                                    • +
                                                    • Willingness to learn and being curious;
                                                    • +
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.
                                                    -

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/DevOps-Automation-Developer_2016113-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-22T16:51:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/50737691-devops-automation-developer-at-cibc,,expired,2021-02-11T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6a2c1420-5707-4d34-a617-c995ac367273,50737696,CIBC,Senior Automation Architect,on_site,"Toronto, ON, Canada",2021-02-11T14:33:04.107Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    +

                                                    We’re here to help

                                                    -

                                                    Job Description

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    What You’ll Be Doing

                                                    -

                                                    As a Senior Automation Consultant, you will join CIBC’s Personal & Small Business Technology (PSBT) team to drive quality, centralize and standardize our QA processes, and accelerate the deployment of QA Automation and agile-adoption across the technology team. You will be responsible for development and support of processes, practices and solutions necessary to produce quality products/services and manage risk by ensuring that enterprise processes are followed and comply with CIBC policies and standards.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    How You’ll Succeed

                                                    -
                                                      -
                                                    • -Continuous Improvement & Best Practices: Improve QA Automation processes through continuous innovation, provide recommendations / solutions. Advocate for industry best practices, delivery methodologies, automation, QA AI and ML Capabilities, tools, etc.
                                                    • -
                                                    • -Analysis & Recommendations: Conduct analysis on existing automation and QA tools and provide recommendations. Benchmark the PSBT’s test maturity against industry standards and develop actionable plans to address gaps and opportunities. Prioritize goals and quick wins based on value, stakeholder and enterprise priorities
                                                    • -
                                                    • -Project Management: Manage medium to large work packages simultaneously. Identify obstacles or risks that may impact a project’s timeline or success and provide regular status updates to the business. Keep the lines of communication open with stakeholders, and escalate issues when necessary.
                                                    • -
                                                    -

                                                    Who You Are

                                                    -
                                                      -
                                                    • -You can demonstrate experience in: 5+ years of experience in an Automation Consultant/ Architect level role with a strong understanding of the SDLC. You have knowledge of process improvement, change management, quality management methods, Agile delivery, as well as, IT standards, procedures and policies. You have expertise in Selenium, UFT, LeanFT tools, programming languages such as Java, C#/.Net, API testing and automation tools (PARASOFT SOA, SOAP UI). Should be well versed with SQL DB. Experience in Virtualization (IBM RIT, PARASOFT etc. virtualization tools) will be an asset to have. Leading QA Programs and teams through automation delivery. You have strong written and verbal communication skills, as well as, excellent leadership skills with the ability to impact decisions within and outside the organization.
                                                    • -
                                                    • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do.
                                                    • -
                                                    • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
                                                    • -
                                                    • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
                                                    • -
                                                    • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • -
                                                    • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                    • -
                                                    +

                                                    To find out more visit us at https://bmocareers.com.

                                                    -

                                                    What CIBC Offers

                                                    -

                                                    Joining CIBC means becoming part of a team that is empowered and encouraged to act like owners, and to do the right thing for the client, every time. We’re a diverse community, operating in an environment that acknowledges our employees’ unique talents, contributions and accomplishments.

                                                    -
                                                      -
                                                    • -Thrive in a world of flexibility and enablement
                                                    • -
                                                    • -Connect as a diverse team and make innovation happen
                                                    • -
                                                    • -Develop through ongoing learning and growth: Broaden your technical knowledge and expertise through collaboration
                                                    • -
                                                    • -Prosper through our collective success: Competitive salary, incentive pay, banking benefits, health benefit program, and employee share purchase plan
                                                    • -
                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Channel-Analytics_R200014209,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-12-10T00:10:54.612Z,False,0,5,75,https://talenthub.vectorinstitute.ai/jobs/41662994-analyst-channel-analytics-at-bmo-financial-group,,expired,2020-11-09T20:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +8fe19ed7-a881-4503-9c05-b26129ea451b,41665018,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2020-11-10T06:19:12.130Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    The TD Wealth Analytics & Reporting team is responsible for providing thought leadership for our business through advanced analytics, standardized reporting, self-serve data and actionable insights to help drive meaningful business decisions and results. We provide a holistic lens for revenue growth, sales, performance management/coaching, risk and investment compliance, and product delivering quantitative models, timely, accurate, consistent, useful and actionable information to support our businesses and leaders.

                                                    +

                                                    Job Description

                                                    +
                                                    The Business Insights Specialist will be accountable for delivering timely, meaningful business performance reporting and analytics that drive measurable business value across our business lines. We are looking for a self-motivated and innovative individual who excels in a fast paced and high impact business team.

                                                    +

                                                    Primary Responsibilities

                                                    +

                                                    Working closely with business stakeholders to provide thought-leadership and facilitate data-driven fact-based decisions
                                                    Support the design and execution of suitable analytical solutions in a timely fashion to support business decisions
                                                    Enhance reporting and business insights generating capability by developing a “best-in-class” reporting function that delivers timely, meaningful business performance reporting & insights that drive measurable business value. Help make reporting/business insights a competitive advantage
                                                    Responsible for identification and development of advanced analytics use cases that drive business value
                                                    Provide proactive “value-added” insights (both verbal and written) in the form of analysis, interpretation and advice to highlight further business opportunities
                                                    Preparation and distribution of sales, performance (dashboards and scorecards) and business management reporting, as required
                                                    Liaise with business stakeholders to ensure timely and accurate deliverable
                                                    Continuously review existing reporting requirements and processes, proactively providing thought leadership and hands-on development and execution for future reporting needs and metrics

                                                    +

                                                    -

                                                    What You Need to Know

                                                    -
                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • -
                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Automation-Consultant_2101530,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-22T16:43:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/50737696-senior-automation-architect-at-cibc,,expired,2021-02-11T14:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -015140c3-aa9d-4d24-a45f-8235f4cb0fb9,50744019,BenchSci,Software Engineer - Data Pipeline,full,Toronto or Remote (Canada) /,2021-02-11T14:54:50.491Z,"
                                                    -
                                                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                    -

                                                    -
                                                    We are currently seeking a Software Engineer to join our growing Data Pipeline Team! Reporting to the Engineering Manager, you will work on evolving our data models in several styles of datastores, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you’ll have an opportunity to collaborate with a world-class team, experience growth and mentorship, and apply state-of-the-art data engineering solutions that will shape the future of scientific discovery.
                                                    +

                                                    Requirements

                                                    +
                                                    Qualifications/Skills/Experience:

                                                    +

                                                    Over 5 years of relevant experience in analytics, reporting, analysis and insights, or business strategy functions in the Financial Services industry
                                                    Strong analytically-anchored problem solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
                                                    Strong interpersonal skills, able to build relationships, effectively interact, influence and motivate individuals at all levels of the organization to make an impact
                                                    Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
                                                    Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
                                                    Disciplined with a proven track record of delivering results and executing with excellence
                                                    Experience in working with TD’s proprietary systems, processes and applications and/or a business analysis/reporting function would be considered an asset
                                                    Education

                                                    +

                                                    Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
                                                    Technical Knowledge/Skills

                                                    +

                                                    5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)
                                                    Experience with creating complex Tableau dashboards considered an asset

                                                    -
                                                    -

                                                    You Will:

                                                    -
                                                        -
                                                      • Scale data pipelines to allow data to go from research to platform as fast as possible
                                                      • -
                                                      • Develop data access mechanisms for downstream applications consumption
                                                      • -
                                                      • Manage sources which contain both semi-structured as well as unstructured data
                                                      • -
                                                      • Develop and apply suitable frameworks to detect data drift, and then calibrate and redeploy them to production seamlessly
                                                      • -
                                                      • Collaborate closely with other engineers to solve interesting and challenging data problems
                                                      • -
                                                      • Provide troubleshooting analysis and resolution in a timely manner
                                                      • -
                                                      • Have opportunities to work both independently and in pair-programming settings
                                                      • -
                                                      • Work with a highly collaborative team
                                                      • -
                                                      • Be given an unmatched opportunity for growth and development, and to learn from a team of outstanding engineers
                                                      • -
                                                      • Manage your code by troubleshooting, debugging, and fixing issues
                                                      • -
                                                      • Design testable, scalable solutions to complex problems using the latest frameworks and tools
                                                      • -
                                                      • Feel challenged and engaged as you’re exposed to new opportunities that will require you to push yourself
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    You Have:

                                                    -
                                                        -
                                                      • 3+ years working as a professional developer
                                                      • -
                                                      • Experience in Python
                                                      • -
                                                      • Experience with SQL
                                                      • -
                                                      • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                      • -
                                                      • Experience with Spark 2.x or Pandas
                                                      • -
                                                      • Eagerness to share your own ideas and openness to those of others
                                                      • -
                                                      • An interest in working with the latest tools and technologies available
                                                      • -
                                                      • The desire to see constant improvement in both yourself and your team
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    Nice to haves, but not mandatory qualifications:

                                                    -
                                                        -
                                                      • A background in Life Science
                                                      • -
                                                      • Experience with Kubernetes in production
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    Our benefits and perks:

                                                    -
                                                        -
                                                      • A compensation package that includes equity options in the company
                                                      • -
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • -
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                      • -
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • -
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • -
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • -
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • -
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • -
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • -
                                                      • A great benefits package: Including health and dental
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    -
                                                    Here at BenchSci, these are our core values:
                                                    -

                                                    -
                                                    -Focused: We focus on what will drive the greatest impact at all times.
                                                    -
                                                    -Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                                    -
                                                    -Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                                    -
                                                    -Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                                    -
                                                    -Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                                    -

                                                    -
                                                    Diversity, Equity and Inclusion:
                                                    -
                                                    BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                                    -

                                                    -
                                                    Accessibility Accommodations:
                                                    -
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    -
                                                    ",,https://jobs.lever.co/benchsci/b5bf5c20-f844-44f3-b3a6-cfd8f9d69e28?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-03-18T14:32:53.281Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/50744019-software-engineer-data-pipeline-at-benchsci,https://jobs.lever.co/benchsci/b5bf5c20-f844-44f3-b3a6-cfd8f9d69e28,expired,2021-02-11T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,Re-Posting an Expired Job, -b2134364-2f58-47ac-901a-060bfef0e6c2,50745823,Google,"Technical Specialist, Healthcare AI/Analytics, Public Sector",on_site,"Toronto, ON, Canada",2021-02-11T15:04:47.538Z,"

                                                    Minimum qualifications:

                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/11675626/business-insights-specialist-toronto-ca/,adam.renkosinski@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-12-16T19:26:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/41665018-business-insights-specialist-at-td-bank-group,,expired,2020-11-10T06:19:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +d3e4c960-130f-477e-9b48-c5a9a8262213,41713604,Loblaw Companies Ltd.,Senior Data Engineering Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-11T06:19:33.017Z,"
                                                    +
                                                    +
                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    Located at our headquarters in Brampton at 1 Presidents Choice Circle, the Analyst will provide accurate, easy-to-use and timely data solutions to support analysis of Retail and Health data across Enterprise. You may also have the opportunity to support other unique projects and enterprise-wide analytical initiatives.

                                                    +

                                                    We're looking for someone who can roll up their sleeves and start understanding data on a scale and build data products , You'll help the team and yourself by documenting your learning while getting a greater understanding of how a large organization manages data and information. You'll be surrounded by seasoned veterans in Analytics that you'll be able to learn a lot from.

                                                    +

                                                    Accountabilities:

                                                      -
                                                    • Bachelor's degree in Computer Science or equivalent practical experience.
                                                    • -
                                                    • 5 years of experience in the healthcare industry in a customer facing cloud computing role.
                                                    • -
                                                    • Experience working with web/internet technologies, architecture across SaaS, PaaS, IaaS, on-prem and cloud productivity suites.
                                                    • +
                                                    • Create Data pipe lines from various source systems to Enterprise Data warehouse/Cloud
                                                    • +
                                                    • Extract data from various source systems and data stores for data profiling and analysis
                                                    • +
                                                    • Support the implementation of solutions/changes to production environment
                                                    • +
                                                    • Document and Design Project enhancements and create process for Data life cycle management
                                                    • +
                                                    • Support Data cleansing and data migration tasks
                                                    • +
                                                    • Generate reports using adhoc queries or using BI Tools like MicroStrategy or Qlik
                                                    • +
                                                    • Participate in feature engineering and development of Analytical models
                                                    • +
                                                    • Work closely with stakeholders across the organization to gather data requirements for various data initiatives and other data consumption needs.
                                                    • +
                                                    • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions
                                                    -

                                                    Preferred qualifications:

                                                    +

                                                    Role Requirements:

                                                      -
                                                    • Master's degree in Computer Science, Health Informatics or other technical field.
                                                    • -
                                                    • 10 years of Healthcare industry experience in the Pharmaceutical, Clinical Trials or Medical Devices space.
                                                    • -
                                                    • Experience with application development, cloud service delivery/deployment, converged infrastructure, virtualization systems, and containers.
                                                    • -
                                                    • Knowledge of HIPAA, OSHA, GMP and other legal regulations around healthcare data and common healthcare data exchange formats (e.g., SDTM, ADaM, HL7, FHIR, CCDA), Big Data/ML/AI related to healthcare and Clinical Trials, and healthcare compliance.
                                                    • -
                                                    • Knowledge of solution architecture within web/mobile environments.
                                                    • -
                                                    • Ability to influence technical/non-technical audiences and deliver results in cross-functional/matrixed environments.
                                                    • +
                                                    • University or college degree in Business, or an equivalent degree in a related field of study, or related working experience
                                                    • +
                                                    • 3+ years of ETL tools experience such as Informatica, Attunity, Datastage or similar
                                                    • +
                                                    • 5-10 years of experience in relational databases like Teradata or Big query
                                                    -

                                                    About the job

                                                    -

                                                    When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

                                                    -

                                                    As a Technical Specialist, you will work with technical teams as a Healthcare cloud subject matter expert to differentiate and paint the vision of Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks.

                                                    -

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    -

                                                    Responsibilities

                                                    +

                                                    3-6 years of relevant work experience in Retail, Health care, Advertising, Marketing or Merchandising is an asset

                                                      -
                                                    • Work to identify and qualify business opportunities, understand key customer technical objections, develop a strategy to resolve technical blockers, and travel to customer sites as required.
                                                    • -
                                                    • Provide in-depth Healthcare technology expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
                                                    • -
                                                    • Guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for a solution, and identify and define components from Google Cloud.
                                                    • -
                                                    • Create detailed and prescriptive architectures for healthcare cloud solutions.
                                                    • -
                                                    • Structure and execute workshops to prove out proposed new architectures, prototypes, develop best practices, and document key blocking requirements for prioritization with engineering.
                                                    • -
                                                    ",,https://careers.google.com/jobs/results/92522862612488902-technical-specialist-healthcare-aianalytics-public-sector/?location=Canada&sort_by=date,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-03-13T15:04:49.509Z,False,0,9,79,https://talenthub.vectorinstitute.ai/jobs/50745823-technical-specialist-healthcare-ai-analytics-public-sector-at-google,,expired,2021-02-11T15:04:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -efa327d0-3962-41f7-82ff-d6c42b6f84fb,51184444,Loblaw Companies Ltd.,Senior Data Engineering Specialist,on_site,"Toronto, ON, Canada",2021-02-15T14:37:27.927Z,"
                                                    +
                                                  • Hands on experience in Teradata and Teradata Utilities like FLOAD, MLOAD, BTEQ ,TPT and FASTEXPORT is preferred +
                                                  • +
                                                  • Hands-on development in Enterprise Data Warehouse with focus on Data Ingestion
                                                  • +
                                                  • Hands on experience with data modeling and presentation layer
                                                  • +
                                                  • Proficient with SQL, Complex SQL Tuning and Data Warehousing best practices
                                                  • +
                                                  • Experience in BI reporting tools such as MicroStrategy, Qlik is an asset
                                                  • +
                                                  • Demonstrated ability to effectively communicate ideas and actions to those at all levels of the organization
                                                  • +
                                                  • Knowledge of Project Management and Release management tools
                                                  • +
                                                  • Knowledge and experience in Cloud technologies like GCP, Azure is an asset
                                                  • +
                                                  • Knowledge of SAP or Sales force is an asset
                                                  • +
                                                  • Must be Detail oriented and possess problem solving skills
                                                  • +
                                                  • Ability to thrive in a fast paced, challenging and constantly changing work environment
                                                  • + +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    Type of Contract:

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Engineering-Analyst_R2000194567,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-18T06:25:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/41713604-senior-data-engineering-analyst-at-loblaw-companies-ltd,,expired,2020-11-11T06:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +fe238ace-e54c-4e2a-ad44-7493e7318ba6,41713639,Loblaw Companies Ltd.,"Senior Data Analyst, Data Management",on_site,"1 Presidents Choice Circle, Brampton, ON",2020-11-11T06:19:37.858Z,"
                                                    -

                                                    Location:

                                                    -

                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    Why is this role important?

                                                    -

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    -

                                                    If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    -

                                                    -

                                                    The Data & Analytics team at Loblaw is hiring a Senior Data Engineering Specialist with experience in building cloud-based modern data platforms from the ground up. Reporting to the Senior Manager – Data Engineering, the incumbent will be responsible for ingesting, wrangling, cleansing and delivering data to power our Analytics, BI and ML/AI capabilities. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

                                                    -

                                                    -

                                                    What You'll Do:

                                                    -

                                                    -

                                                    · Build and maintain batch and real-time data pipelines.

                                                    -

                                                    · Build and maintain an API gateway to manage integration points between the data platform and other applications and data consumers.

                                                    -

                                                    · Build end-to-end processes supporting data ingestion, data transformations, data wrangling, data cleansing and data delivery.

                                                    -

                                                    · Explore opportunities for optimization of existing data pipelines and re-designing of data infrastructure for greater scalability and performance.

                                                    -

                                                    · Build and maintain a repository of metadata and lineage information about how data flows through its lifecycle.

                                                    -

                                                    · Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.

                                                    -

                                                    · Contributes to the development and documentation of data management standards framework.

                                                    -

                                                    · Mentor and cross-train junior data engineers.

                                                    -

                                                    -

                                                    What You'll Bring:

                                                    -

                                                    · University degree in Computer Science, Mathematics, Engineering or related field.

                                                    -

                                                    · 5+ years of software engineering experience with strong focus on data.

                                                    -

                                                    · 5+ years of relevant OO programming experience using Java and Python.

                                                    -

                                                    · Experience working with Cloud data platforms technologies: Google Cloud Platform (Dataflow, Big Query, Apache Beam, Apache Airflow) and Azure Databricks.

                                                    -

                                                    · Experience using Jenkins to configure and build CI/CD pipelines.

                                                    -

                                                    · Experience building Terraform scripts to provision infrastructure as code.

                                                    -

                                                    · 5 years of experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)

                                                    -

                                                    · Advanced knowledge of SQL queries

                                                    -

                                                    · Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data

                                                    -

                                                    · Ability to take initiative, multi-task and work in a fast-paced environment

                                                    -

                                                    · Capability to liaise with all levels across the enterprise on projects and ad-hoc requests

                                                    -

                                                    · Strong detail orientation is essential in this role

                                                    -

                                                    · A Team player and self-starter

                                                    -

                                                    -

                                                    What You Can Expect:

                                                    -

                                                    We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    -

                                                    Other perks of joining Loblaw:

                                                    -

                                                    o Competitive compensation and benefits package

                                                    -

                                                    o Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

                                                    -

                                                    o A flexible work environment which values balance

                                                    -

                                                    o Colleague Discount Program

                                                    -

                                                    o Tuition reimbursement Program

                                                    -

                                                    o Employee Share Ownership plan

                                                    -

                                                    o Pension Plan

                                                    -

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    +

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for innovative, talented, and energetic people to help bring our Data Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way! If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    +

                                                    +

                                                    The Data Insights & Analytics team at Loblaw is seeking a Senior Data Analyst with background in big data, cloud and relational databases. We are currently in the process of modernizing the data infrastructure onto cloud technologies to unlock the value of our data and drive richer insights to our business partners.

                                                    +

                                                    +

                                                    Reporting to the Senior Manager, Data Management, the incumbent will support large data initiatives by leveraging their expertise in obtaining, analyzing and manipulating data to identify insights and data patterns. He or she will be responsible for creating and maintaining data requirements, transformations and system documentation.

                                                    +

                                                    +

                                                    What You'll Do:

                                                    +
                                                      +
                                                    • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                    • +
                                                    • Provide support to Data Governance initiatives such as data quality, data lineage and metadata management.
                                                    • +
                                                    • Transform extracted data from large and disconnected datasets into insights suitable for presentation to various audiences.
                                                    • +
                                                    • Develop capabilities to identify areas of opportunity and improve business processes, data architecture and reporting efficiency.
                                                    • +
                                                    • Work collaboratively with business and analytics groups, on cross functional projects and data initiatives to solve business problems.
                                                    • +
                                                    • Extract, review and prepare data for analysis & reporting using SQL and/or Python.
                                                    • +
                                                    • Creation of UML diagrams including but not limited to sequence and data flow diagrams.
                                                    • +
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information.
                                                    • +
                                                    +

                                                    +

                                                    What You'll Bring:

                                                    +
                                                      +
                                                    • Mandatory: Advanced SQL querying for data mining, extraction and preparation.
                                                    • +
                                                    • University Degree in Computer Science, Statistics, Mathematics or Information Systems is preferred.
                                                    • +
                                                    • Minimum 5 years of experience in utilizing advanced data extraction and manipulation tools (MS SQL, Teradata, etc.).
                                                    • +
                                                    • Minimum 5 years of experience in Data mining working with large relational databases.
                                                    • +
                                                    • Technical background with a solid understanding of database design is an asset.
                                                    • +
                                                    • Experience with Hadoop and understanding of its components (HDFS, HBase, Spark) is an asset.
                                                    • +
                                                    • Experience with Cloud technologies (GCP, Azure) is an asset.
                                                    • +
                                                    • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data.
                                                    • +
                                                    • Demonstrated knowledge of the data management lifecycle, including experience with data quality and metadata management.
                                                    • +
                                                    • Experience in conducting business analysis to gather requirements from non-technical stakeholders.
                                                    • +
                                                    • A Team player and self-starter with the ability to take initiative, multi-task and work in a fast-paced environment.
                                                    • +
                                                    +

                                                    +

                                                    What You Can Expect:

                                                    +

                                                    We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    +

                                                    +

                                                    Other perks of joining Loblaw:

                                                    +
                                                      +
                                                    • Competitive compensation and benefits package
                                                    • +
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • +
                                                    • A flexible work environment which values balance
                                                    • +
                                                    • Colleague Discount Program
                                                    • +
                                                    • Tuition reimbursement Program
                                                    • +
                                                    • Employee Share Ownership plan
                                                    • +
                                                    • Pension Plan
                                                    • +
                                                    +

                                                    +

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    How You’ll Succeed:

                                                    @@ -18906,6 +18070,8 @@ efa327d0-3962-41f7-82ff-d6c42b6f84fb,51184444,Loblaw Companies Ltd.,Senior Data

                                                    Employment Type:

                                                    Full time

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    Type of Contract:

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    @@ -18914,1134 +18080,823 @@ efa327d0-3962-41f7-82ff-d6c42b6f84fb,51184444,Loblaw Companies Ltd.,Senior Data

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Senior-Data-Engineering-Specialist_R2000193837,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-18T14:42:13.207Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/51184444-senior-data-engineering-specialist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Senior-Data-Engineering-Specialist_R2000193837,expired,2021-02-15T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -5742ab5d-0fd5-45e3-8b4c-8f0453603f0d,51197297,RBC,"Director, Data Science",on_site,"Toronto, Ontario, Canada",2021-02-15T21:37:09.589Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    As Director, Data Science you will help create the advanced analytics strategy including statistical analysis, machine learning and deep learning. This role will work cross-functionally across the rest of the data management group and I&TS organizations to help deliver value through advanced analytics and modeling to help drive better data driven decisions.

                                                    -

                                                    -

                                                    What will you do?

                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Data-Analyst--Data-Management_R2000194374,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-11-18T06:25:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/41713639-senior-data-analyst-data-management-at-loblaw-companies-ltd,,expired,2020-11-11T06:19:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +7373b530-e024-4d9e-8965-ff51b91b66fa,41948799,CN,"Specialist System Design, Data Scientist Machine Learning and Visual Analytics",full,Anywhere,2020-11-16T18:47:58.022Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    +

                                                    For internal candidates, note that the grade level of the position will depend on the employee's experience.

                                                    +

                                                    Job Summary

                                                    +

                                                    The role of Specialist Data Design works with manager, expert data design and data governance to drive best practices and a practice based approach towards data design and management. The Specialist Data Design is responsible for working on collecting, storing, processing, and analyzing sets of data. The primary focus is on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. They are also responsible for integrating them with the architecture used across the company.

                                                    +

                                                    The Specialist System Design will work with the team during development, testing, and integration stages of the solution.

                                                    +

                                                    The immediate position is to work on the development and evolution of the CN Automated Train Inspection solution.

                                                    +

                                                    Main Responsibilities

                                                    +

                                                    Data Design

                                                      -
                                                    • Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
                                                    • -
                                                    • Deliver and bring to production models and tools that will analyze and automate data across the pipeline to bring AI assisted decision making to stakeholders and self healing solution
                                                    • -
                                                    • Lead the data science practice and use industry tools and practices including predictive advance analytics, machine learning, anomoly detection, text mining, natural language processing, cognitive computing, sentiment analytics, and other common AI methodologies.
                                                    • -
                                                    • Assist in the development of an analytic strategy and lead the implementation, including tool selection while leading analytical labs with supervised, semi-supervised and unsupervised machine learning frameworks
                                                    • -
                                                    • Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R
                                                    • -
                                                    • Work with the reporting team to report on metrics while working with the larger department to innovate new analytic solutions while automating existing ones
                                                    • -
                                                    • Promote analytics across the enterprise to enable RBC to become a data-driven organization.
                                                    • -
                                                    • Identify, monitor, & mitigate cross-project or cross-program dependencies while managing relationships, anticipating / mitigating risks, facilitating communications and lead projects in an agile fashion
                                                    • -
                                                    • Lead team of data analysts/scientists to actively work on solving business problems and delivering value
                                                    • -
                                                    • Engage sponsoring executives and project team members establishing trusted partnerships to ensure deliveries within scope, budget, and timelines.
                                                    • -
                                                    • Balance collaboration and consensus with ability to assert project management discipline where required while being the seasoned practitioner in leading project teams through fast and complex pace of projects.
                                                    • +
                                                    • Create and maintain optimal data modeling and pipeline architecture
                                                    • +
                                                    • Assemble large, complex data sets that meet functional / non-functional business requirements
                                                    • +
                                                    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                                    • +
                                                    • Extract, transform, and load data from a wide variety of data sources
                                                    • +
                                                    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
                                                    • +
                                                    • Work with stakeholders including the architecture, product management, infrastructure, data and design teams to assist with data-related technical issues and support their data infrastructure needs
                                                    • +
                                                    • Keep our data separated and secure across the data lake/warehouse to adhere to industry and regulatory requirements
                                                    • +
                                                    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
                                                    • +
                                                    • Work with data and analytics experts to strive for greater functionality in our data systems
                                                    • +
                                                    • Follow standard and best practices to ensure the data design is maintainable, sustainable and properly documented with all the associated IP constructs
                                                    • +
                                                    • Follow standards and best practices to ensure reliability, safety and cybersecurity standards are imbedded in the data design and sub systems
                                                    • +
                                                    • Understand rail architecture in order to develop data models and understanding of all integrations
                                                    • +
                                                    • Work with the development team to ensure data design is fully understood and developed with high quality
                                                    • +
                                                    • Work closely with functional and technical leads to define relationships between business objects (entities) and how these objects will interact with the solution processes
                                                    • +
                                                    • Perform data source discovery through reverse engineering, data readiness assessments and analysis
                                                    • +
                                                    • Build processes supporting data transformation, data structures, metadata, dependency and workload management
                                                    • +
                                                    • Work with quality leads, management, and quality assurance to constantly monitor quality KPI’s and implement data design improvements
                                                    • +
                                                    • Perform root cause analysis to support development process
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    +

                                                    Working Conditions

                                                    +

                                                    The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role requires occasional travel in North America.

                                                    +

                                                    Requirement

                                                    +

                                                    Experience

                                                      -
                                                    • A PhD or Masters in Engineering, Computer Science, Statistical modeling or similar
                                                    • -
                                                    • Minimum 10+ years in a data or analytics-focused role with 5 yrs in technology and infrastructure
                                                    • -
                                                    • Experience with state-of-art analysis techniques and measurement tools to continuously build valuable insights and business recommendations
                                                    • -
                                                    • Effective programming / query skills and in-depth knowledge of common data manipulation, visualization and analytical tools (e.g. Tableau, Elastic, Python, R etc)
                                                    • -
                                                    • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined
                                                    • -
                                                    • Analytical, insights driven with the ability to help the organization to leverage data driven decisions
                                                    • -
                                                    • Strategic with strong change management, continuous improvement and transformation skills
                                                    • +
                                                    • Minimum 5-10 year overall work experience
                                                    • +
                                                    • Minimum 5 years of analysis, data design and data modeling experience
                                                    • +
                                                    • Minimum 4 years of data quality related experience (with or
                                                    • +
                                                    • 2+ years experience in Python libraries such as: Pandas, NumPy, SciKitLearn, MatPlotLib, Keras
                                                    • +
                                                    • Conceptual understanding of classification, object detection and segmentation
                                                    • +
                                                    • Experience using PowerAI Vision
                                                    • +
                                                    • 2+ years of experience in data modelling and Python libraries for data science, application development or application support in machine learning, visual recognition or forecasting
                                                    • +
                                                    • 2+ years of experience with Data architectures including Spark, Hadoop HDFS, analytical processing, NoSQL (MongoDB, Casandra, Redis, etc…) or relational SQL databases (Oracle, Postgres, MySQL, etc…)
                                                    -

                                                    Nice-to-have

                                                    +

                                                    Education/Certification/Designation

                                                    +
                                                    • Bachelor's degree in degree in a Mathematics, Statistics, Computer Science, Computer Engineering or Software Engineering
                                                    +

                                                    +

                                                    General Skills and Competencies

                                                      -
                                                    • 5+ years of project management experience in cross functional settings
                                                    • -
                                                    • Experience in financial services
                                                    • -
                                                    • Engineering/Math background with a focus on statistics and/or analytics
                                                    • +
                                                    • Excellent verbal and written communication abilities: must effectively communicate with technical and non-technical teams
                                                    • +
                                                    • Participate in teams working in an Agile/Scrum or Waterfall process and ensure the stories/tasks are well defined and have all the information and tools to be successful
                                                    • +
                                                    • Work with the Project Manager and project stakeholders to ensure we meet project commitments
                                                    • +
                                                    • Ability to work independently on tasks and deliver with a high-level of quality
                                                    • +
                                                    • Ability to work in teams and be open to comments and feedback
                                                    • +
                                                    • Ability to learn quickly and to adapt to a fast-paced environment
                                                    • +
                                                    • Fast thinker and always seeking continuous improvement in the delivery
                                                    • +
                                                    • Fluency in English, both oral and written. Bilingual proficiency will be considered an asset
                                                    • +
                                                    • Ability to Analyze, Design and document detailed designs
                                                    • +
                                                    • Proficient in documentation of complex concepts such as impact analysis, security models, performance and capacity planning, and strategic technical decision
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +

                                                    Technical Skills/Knowledge

                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • -
                                                    • A world-class training program in financial services
                                                    • -
                                                    • Opportunities to do challenging work
                                                    • -
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • +
                                                    • OpenCV and classical methods in computer vision.
                                                    • +
                                                    • Experience using neural network architectures such as fasterrcnn, ssd, yolo and detectron.
                                                    • +
                                                    • Experience of REST. Application development delivering enterprise-class software products based on developing REST-based API's (json/yaml/OpenAPI) using python
                                                    • +
                                                    +

                                                    About CN

                                                    +

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    +

                                                    +

                                                    +

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5479?c=cn360,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2020-12-16T18:48:00.452Z,False,0,17,84,https://talenthub.vectorinstitute.ai/jobs/41948799-specialist-system-design-data-scientist-machine-learning-and-visual-analytics-at-cn,,expired,2020-11-16T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +3b81bf6c-123d-4dfb-909a-ac2d02793314,42030683,RBC,"Senior Director, Finance Data Office",on_site,"Toronto, Ontario, Canada",2020-11-18T06:21:19.803Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    The Senior Director of the Finance Data Management Office (DMO) is responsible for providing leadership, strategic direction, expertise and delivery in information management for the CFO group. You will manage a high level of complexity, partnership and decision making and you will be involved in all key Finance initiatives involving data. You will play a key role in setting the priorities and roadmap for the Finance DMO as part of the Finance & Risk Data strategy and will act as a subject matter expert supporting the Finance Group in adopting data-related standards and practices. A key part of this role will be the enhancement and development of rules and expectations for data lineage, associated data controls, management of reference data etc. in line with the Finance Group’s build out data capabilities. This will need to be delivered in a manner consistent with the Chief Data Office policies and standards, working closely with data sponsors and data stewards.

                                                    +


                                                    What will you do?

                                                    +
                                                      +
                                                    • Lead the data and information governance framework for CFO group including data governance policies and practices, socialization and advocacy in enhancing policies and tools ensuring alignment and compliance with the overall enterprise data governance CDO objectives and practices
                                                    • +
                                                    • Lead information quality, information protection and information life cycle management to ensure data quality and controls for accuracy, completeness and timeliness
                                                    • +
                                                    • Representing Finance stakeholders, act as Data Owner for critical data elements in finance systems, including data repositories, defining logical structure and rules governing data quality, reconciliations, and controls
                                                    • +
                                                    • Develop and direct finance systems strategy and roadmap as a work stream under the Finance & Risk Data Strategy
                                                    • +
                                                    • Act as Finance focal for Head of Finance & Risk Data Strategy work – engaging Controllers as required including establishing functional and regional data policies and standards aligned to enterprise standards, where required
                                                    • +
                                                    • Responsible to advise and ensure strategic alignment on data related Finance projects
                                                    • +
                                                    • Lead and build a resilient and scalable team of management staff of strong business technical professionals, and statisticians, establishing cross training and coverage
                                                    • +
                                                    • Allocate resources to balance needs of product lines with professional development needs of advanced analytics, predictive modeling and data management talent
                                                    • +
                                                    +


                                                    What will you need to succeed?

                                                    +

                                                    Must-have

                                                    +
                                                      +
                                                    • Minimum 10-15 years’ experience in financial services sector with 10 years’ experience in leadership
                                                    • +
                                                    • Strong data knowledge and expertise, with understanding of trends and industry strategy for data management
                                                    • +
                                                    • Strong Data Governance experience, including data stewardship and data governance framework implementation
                                                    • +
                                                    • Understanding of databases and reporting methodologies
                                                    • +
                                                    • Enterprise Analysis techniques including definition of business need, assessing capability gaps, determining approach, defining scope and business value
                                                    • +
                                                    • Change leadership, Global perspective and forward thinking with proven business acumen and credibility
                                                    • +
                                                    • Extensive Large Regulatory Program Delivery experience, preferably cross-industry
                                                    • +
                                                    • Strong understanding of the data lifecycle, including data governance
                                                    • +
                                                    • Strong verbal & written communication skills and proven interpersonal skills
                                                    • +
                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                      +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Work in an agile, collaborative, progressive, and high-performing team
                                                    • +
                                                    • The opportunity to interface with senior level executives from many different parts of the organization
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 155 Wellington St W
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 11/30/2020
                                                    Platform: CFO Group

                                                    Req ID: 292162
                                                    Ad Code(s):

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/292162/Senior-Director-Finance-Data-Office,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.912Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/42030683-senior-director-finance-data-office-at-rbc,,expired,2020-11-18T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +9a4290ec-9c36-4cc1-b1c2-6fcd8e9b0110,42030728,RBC,Director - AI Engineering,on_site,"Toronto, Ontario, Canada",2020-11-18T06:21:52.090Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    +

                                                    As a leading technology infrastructure organization, RBC Tech Infrastructure is seeking a Hands-on, Director, AI Engineering, which will require the person to drive the enhancement for AIOps (Artificial Intelligence for Operations), cloud-native data solution, and API enabled enterprise applications. You will work with technical and business stakeholders to make data accessible, drive automation, and generate insights through advanced machine learning and AI. This role will start as an individual contributor with the potential of driving a team and will report to Senior Director, AI.

                                                    +

                                                    +

                                                    What will you do?

                                                    +

                                                    +
                                                      +
                                                    • Mentoring a team of Deep analytics and automation Engineers to help deliver on our five-year strategic goals
                                                    • +
                                                    • Act as an advisory figure for our division, present strategic analysis and help to achieve strategic priorities
                                                    • +
                                                    • Partner with key stakeholders, develop relationships with working groups such as application and delivery teams, various infrastructure pillars, and business owners
                                                    • +
                                                    • Work with big data, cloud-based environments, and Agile methodologies
                                                    • +
                                                    • Collaborate, influence and work cross-functionally with teams in IT, Operations, Application Delivery, and Business Owners
                                                    • +
                                                    • Experience with incident management, CI/CD, and ITIL
                                                    • +
                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    +

                                                    Must have:

                                                    +
                                                      +
                                                    • Bachelor or Master’s degree, or Ph.D. in Computer Science, Mathematics, or similar Quantitative Discipline, or equivalent experience
                                                    • +
                                                    • Extensive experience with Model Validation or Development
                                                    • +
                                                    • Advanced understanding of languages and tools such as R, Python, SAS, SQL, C++ Matlab, Elastic and Splunk
                                                    • +
                                                    • Experience with Building and Deploying Machine Learning Algorithms. Proven experience of delivering on large scale initiatives.
                                                    • +
                                                    • 10+ years of experience in an analytical or strategic role with experience managing an analytical team.
                                                    • +
                                                    • Experience working with one or many cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW. Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                                    • +
                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    +

                                                    We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                      +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • +
                                                    • A world-class training program in financial services
                                                    • +
                                                    • Flexible work/life balance options
                                                    • +
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • +
                                                    • Opportunities to building close relationships with clients
                                                    • +
                                                    • Access to a variety of job opportunities across business and geographies

                                                    +

                                                    Learn more about RBC Tech Jobs

                                                    -

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front St. West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Senior Manager/Director
                                                    Pay Type: Salaried
                                                    Position Level: PL06
                                                    Required Travel(%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 01/21/2021
                                                    Req ID: 290960

                                                    +

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                    +

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-01T16:53:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/51197297-director-data-science-at-rbc,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,expired,2021-02-15T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -403cc6a7-177d-453b-8aeb-7b195122197d,51318063,Google,"Cloud Data Developer, Google Professional Services",on_site,"Toronto, ON, Canada",2021-02-16T14:31:34.727Z,"

                                                    Minimum qualifications:

                                                    -
                                                      -
                                                    • Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
                                                    • -
                                                    • Experience with data processing software (Hadoop, Spark, Pig, Hive) and algorithms (MapReduce, Flume).
                                                    • -
                                                    • Experience writing software in one or more languages: Java, C++, Python, Go, JavaScript.
                                                    • -
                                                    • Experience managing client-facing projects, technical troubleshooting, working with engineering, sales, services, and customers.
                                                    • +

                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 330 Front Street West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salary + Variable Bonus
                                                      Required Travel(%): 0-25

                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Job Posting End Date: 11/30/2020
                                                      Req ID: 289296

                                                      +

                                                      Posting Notes:

                                                      +
                                                    ",,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/42030728-director-ai-engineering-at-rbc,,expired,2020-11-18T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,Re-Posting an Expired Job, +9a3ac4cc-36ff-4ef7-8bec-526cbd5df053,42112004,Borealis AI,Business Development Lead ☑️,on_site,Toronto,2020-11-20T06:20:15.259Z,"

                                                    What's the opportunity?

                                                    We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for one of the bank’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems, and you’ll collaborate with our product team to align business and technical stakeholders.

                                                    +

                                                    Our ideal candidate has an extensive working knowledge of machine learning, strong executive communication skills, and experience working in a financial institution or a quantitative finance background. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                                    +

                                                    Your responsibilities include:

                                                    • Becoming the Borealis AI expert on one or more RBC business lines;
                                                    • Building relationships with RBC executives, subject matter experts, and technical teams;
                                                    • Representing the business vision in the group’s product engagements and educating researchers on business needs;
                                                    • Understanding Borealis AI research areas and creatively mapping technologies onto business problems;
                                                    • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success; and
                                                    • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
                                                    • +
                                                    +

                                                    You’re our ideal candidate if you:

                                                    • Have an extensive working knowledge of data analytics and machine learning;
                                                    • Have experience aligning new technologies to existing ones in large enterprises’ processes;
                                                    • Have experience working in financial institutions;
                                                    • Have experience developing relationships with senior and junior stakeholders at large enterprises;
                                                    • Have experience developing business cases and other communications on technology projects;
                                                    • Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
                                                    • Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
                                                    • +
                                                    +

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    -

                                                    Preferred qualifications:

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    +

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    +
                                                    +
                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2020-11-25T06:26:59.829Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/42112004-business-development-lead-at-borealis-ai,,expired,2020-11-20T06:20:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Team Lead,Bachelors Degree,Re-Posting an Expired Job, +a4651e7b-64c5-424c-b58a-714880545c18,42202220,RBC,Director Machine Learning,on_site,"Toronto, Ontario, Canada",2020-11-21T06:19:43.218Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    +

                                                    The role is to support the success of Next Best Offer strategy which is about personalization of the offer, by designing and implementing data science solutions using RBC’s home-grown platform and vendor solutions. By leveraging data science capabilities, we seek to understand and identify opportunities and trends, anticipate future behaviours, perform pattern matching, discover the golden path clients take that leads to a future decision and predict the outcomes of future events.

                                                    +

                                                    +

                                                    What will you do?

                                                    +

                                                    +

                                                    The role is to lead and direct data scientists on the team to:

                                                      -
                                                    • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
                                                    • -
                                                    • Experience in technical consulting.
                                                    • -
                                                    • Experience in with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, Tensorflow).
                                                    • -
                                                    • Experience architecting and developing software or scalable Big Data solutions in virtualized environments.
                                                    • +
                                                    • Structure the business problem so that the data scientists can analyze the data using statistical, machine learning, and analytics techniques to solve complex problems, discover insights and identify business opportunities in order to recommend a suitable solution to a given business problem
                                                    • +
                                                    • Lead and engage partners to set up a robust Machine Learning infrastructure/data pipelines that accurately and consistently integrate models into the overall decisioning engine
                                                    • +
                                                    • Lead implementation and enforcement of QA process and automation of the models
                                                    • +
                                                    • Responsible for on-going management and performance of the models, and communicate the results
                                                    • +
                                                    • Effectively communicate and document the modeling approach, methodology, results and findings to all levels of management.
                                                    • +
                                                    • Lead a team of data scientists to actively work on solving business problems that deliver value
                                                    • +
                                                    • Engage and build partnership with other members on the team
                                                    -

                                                    About the job

                                                    -

                                                    The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

                                                    -

                                                    The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                    -

                                                    As a Cloud Data Developer, you'll guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges.

                                                    -

                                                    In this role, you are the Google Developer working with strategic Google Cloud customers. With the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and more.

                                                    -

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    -

                                                    Responsibilities

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    +

                                                    Must-have:

                                                      -
                                                    • Act as a trusted technical advisor to customers and solve complex Big Data challenges.
                                                    • -
                                                    • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
                                                    • -
                                                    • Communicate effectively through video conferencing for meetings, technical reviews and onsite delivery activities.
                                                    • -
                                                    • Travel up to 30% of the time to customer sites, conferences, and other related events.
                                                    • -
                                                    ",,https://careers.google.com/jobs/results/72458650058138310-cloud-data-developer-google-professional-services/?location=Canada&page=2,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-03-01T17:21:00.000Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/51318063-cloud-data-developer-google-professional-services-at-google,,expired,2021-02-16T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,Re-Posting an Expired Job, -17abdff4-1977-48cc-8c62-f610961f9d89,51337929,Sun Life Financial,"Delivery Manager, Data Management Services",on_site,"North York, Toronto, ON, Canada",2021-02-16T20:14:50.570Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    +
                                                  • 6+ years of experience framing the business problem into machine learning problem
                                                  • +
                                                  • Strong experience of design, coding, development, and implementation experience. Expert working knowledge of Python, R, Java and SQL
                                                  • +
                                                  • 5+ years of experience with big data technologies – Hadoop, noSQL/SQL databases, parallel processing techniques and Apache Spark. Masters in Mathematics, Statistics or Computer Science
                                                  • +
                                                  • Expert technical documentation skills. Strong process oriented mind set and promote holistic solutions that benefits the team
                                                  • +
                                                  • Strong interpersonal and communication skills (both written and verbal); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to executives.
                                                  • +
                                                  • Focus on delivery and deadlines. Ability to work collaborative with cross-function teams and business units. Strong people leader to create a collaborative environment and maintain a high team engagement level
                                                  • + +

                                                    +

                                                    Nice-to-have

                                                    +
                                                      +
                                                    • Working knowledge of public cloud solution development is an asset
                                                    • +
                                                    • 3+ years of project management skills
                                                    • +
                                                    • Knowledge of SAS is an asset
                                                    • +
                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    +

                                                    We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                      +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • +
                                                    • A world-class training program in financial services
                                                    • +
                                                    • Flexible work/life balance options
                                                    • +
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • +
                                                    • Opportunities to building close relationships with clients
                                                    • +
                                                    • Access to a variety of job opportunities across business and geographies
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 88 Queens Quay West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 12/04/2020
                                                    Platform: Personal & Commercial Banking

                                                    Req ID: 293139
                                                    Ad Code(s):

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/293139/Director-Machine-Learning,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-11-25T06:27:15.809Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/42202220-director-machine-learning-at-rbc,,expired,2020-11-21T06:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +39a667cb-bec6-428f-a304-5a52b0364ee9,42286487,BMO Financial Group,Marketing Insights Analyst,on_site,"Toronto, ON, Canada",2020-11-23T14:54:07.564Z,"

                                                    Address:

                                                    +

                                                    55 Bloor Street West

                                                    -

                                                    Job Description:

                                                    -

                                                    About the role

                                                    +

                                                    Job Family Group:

                                                    +

                                                    Data Analytics & Reporting

                                                    -

                                                    Data Management Services (DMS) is responsible for the day to day support of databases and data access middleware across North America. Our mandate is to focus on enabling our business partners through technology currency, emerging technologies, governance and security as well as empowering them with Business Intelligence (BI) tools. The successful candidate is expected to have a passion for Information Technologies and will need to be able to pick up, understand and become proficient in a wide range of software products and technologies.

                                                    -

                                                    As a member of the DMS team, the Delivery Manager will play an integral part of the relationship management, planning and delivery leadership for the DMS portfolio of projects. The successful candidate will have 10 or more years experience in Information Technology, with at least 5 years of demonstrated experience in Project Management and/or Delivery Management. This role will be accountable to initiate, plan and mobilize project teams, and then govern them through to execution. She/he is accountable to remove barriers and facilitate solutions to address business partners’ needs.

                                                    +

                                                    We are looking for a talented individual to join our team in the position of Marketing Insights Analyst. The primary responsibility is to leverage customer data to deliver recommendations that drive optimal customer journeys and experiences.

                                                    +

                                                    The role will sit within the Advanced Analytics & Data Science Team in Marketing Analytics team and support Marketing across BMO FG with proactive, actionable insights for both Retail and Wealth customers. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights and will be involved in all stages of projects from intake, prioritization, tracking, and presentations to stakeholders and senior executives.

                                                    +

                                                    The Marketing Analytics Insights Analyst will work with other analytics group within BMO to develop the analytics community, provide thought leadership and set best practices in analytics across BMO.

                                                    -

                                                    Our strategy for success is based on the following principles:

                                                    +

                                                    +

                                                    Key Accountabilities

                                                    +

                                                    Analytic Capabilities & Critical Thinking

                                                      -
                                                    • Understanding our business partners’ needs, pain points and value areas
                                                    • -
                                                    • Awareness of the Capability Maturity Model Integration (CMMI) processes
                                                    • -
                                                    • Alignment with SLF’s technology strategy and roadmap
                                                    • -
                                                    • Continuously review and improve our processes
                                                    • +
                                                    • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                    • +
                                                    • Supports data collection, integration, and retention requirements for both data and customers
                                                    • +
                                                    • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                      +
                                                    • +
                                                    • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                    • +
                                                    • Works with business partners around the enterprise to design, develop, and implement analytics/machine learning solutions that drive measurable marketing outcomes and create a distinctive customer experience
                                                    • +
                                                    • Leverage customer and digital data to develop analytical self-service tools and strategic insights to help our marketing partners understand their customer behaviours to provide personalized offers
                                                    • +
                                                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.

                                                      Leadership and Relationship Management

                                                      +
                                                    • +
                                                    • Determines the best approach for eliciting, analyzing, validating, and prioritizing requests to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
                                                    • +
                                                    • Ensure effective project tracking and status reporting using Workfront project management software
                                                    • +
                                                    • Ensures effective communication with all necessary stakeholders, presents results to executives
                                                    • +
                                                    • The individual will have an end-to-end project accountability beginning with understanding the business KPIs. They will leverage their expertise to go beyond the request to address the business problem, and be able to explain technical results to a non technical audience and related them to business KPIs
                                                    • +
                                                    • Provide thought leadership on how analytics can help resolve business opportunities
                                                    -

                                                    -

                                                    What will you do

                                                    +

                                                    Cross Functional Relationships

                                                    +

                                                    This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders: Managers and Senior Managers within Marketing and in lines of Business, Technology and Operations

                                                    +

                                                    Knowledge & Skills

                                                    +

                                                    Knowledge

                                                      -
                                                    • Participate in end-to-end solution delivery. Ensure projects are delivered on time, on budget and with required quality.
                                                    • -
                                                    • Work closely with the Architect and DMS Leadership during the concept phase of project to define project delivery approach and methodology.
                                                    • -
                                                    • Ensure that appropriate organization, governance, decision making, and delivery structures are in place to drive outcomes articulated in the business case, CBA (cost benefit analysis), business requirements, and program/project charter.
                                                    • -
                                                    • Perform regular delivery risk reviews and support the project teams with escalations and resolutions as required. Serve as an escalation point for delivery issues.
                                                    • -
                                                    • Contribute innovative ideas for best practice and process improvements.
                                                    • -
                                                    • Create reusable solutions, processes or work products.
                                                    • -
                                                    • Establish project structure and reporting relationships, ensure that everybody understands the project goals and his/her role and responsibilities, encourage good working relationships among all project team members, motivate and resolve conflicts between individual members of the team.
                                                    • -
                                                    • Partner with Program Management to align demand with Supply capacities and ensure that resources are aligned strategically in order to maximize project success.
                                                    • +
                                                    • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                    • +
                                                    • 1+ year of applicable experience.
                                                    • +
                                                    • Strong foundation in data and analysis.
                                                    • +
                                                    • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                    • +
                                                    • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
                                                    -

                                                    -

                                                    What you need to succeed

                                                    +

                                                    Skills

                                                      -
                                                    • University level degree in Computer Science or related information technology degree/diploma or equivalent experience
                                                    • -
                                                    • 5 - 7 years of experience of project management experience
                                                    • -
                                                    • Knowledge of Cloud concepts, Relational and Non-Relational databases
                                                    • -
                                                    • Foundational knowledge of Lean / Agile / Scrum methodologies
                                                    • -
                                                    • Mixture of strong business acumen, understanding of data and information technology
                                                    • -
                                                    • Strong organizational skills with the ability to juggle parallel projects efficiently
                                                    • +
                                                    • Experience with customer database and programming queries in SAS or SQL (Python, R, Hadoop experience an asset)
                                                    • +
                                                    • Experience in data visualization preferred, including visualization software such as Power BI, Spotfire or Tableau.
                                                    • +
                                                    • Influential skills sufficient to resolve situations where others need to be convinced of the value of preferred options or alternatives
                                                    • +
                                                    • Well-developed presentation / analytical skills sufficient to:
                                                    -

                                                    -

                                                    Preferred Skills:

                                                      -
                                                    • Understand and put complex concepts into action
                                                    • -
                                                    • Strong understanding of business area drivers and priorities; ability to facilitate business prioritization and decisions
                                                    • -
                                                    • Excellent verbal and written communication skills
                                                    • -
                                                    • Ability to contribute solutions that meet or exceed business requirements
                                                    • -
                                                    • Willingness to share ideas and speak up in small to medium sized groups
                                                    • -
                                                    • Ability to establish long-term partnerships with the business partners and account teams
                                                    • +
                                                    • Provide detailed explanation and interpretation of factual and conceptual information and ideas
                                                    • +
                                                    • Creatively and precisely articulate ideas that involve interpretation, analysis and assessment
                                                        +
                                                      • Ability to interact with all levels of end users and technical resources.
                                                      • +
                                                      • Project planning and management skills sufficient to establish, prioritize and coordinate objectives for a variety of non-routine assignments or projects
                                                      • +
                                                      • Ability to plan, organize and work on multiple tasks simultaneously, and in a deadline-driven environment
                                                      • +
                                                      • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                      • +
                                                      +
                                                    -

                                                    Note:

                                                    -
                                                    • This role requires Canadian enhanced reliability security clearance.

                                                    -

                                                    What’s in it for you:

                                                    +

                                                    +

                                                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                      -
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • -
                                                    • An environment of continuous learning and improvement
                                                    • -
                                                    • Flexible hours and periodic work from home options
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • +
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • +
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • +
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • +
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • +
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • +
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • +
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • +
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently on a range of complex tasks, which may include unique situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      Qualifications:

                                                      +
                                                    • +
                                                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                    • +
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.

                                                    -

                                                    LI - SJ

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    +

                                                    We’re here to help

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    +

                                                    To find out more visit us at https://bmocareers.com.

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Delivery-Manager_JR00038943-1?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-02-22T17:14:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/51337929-delivery-manager-data-management-services-at-sun-life-financial,,expired,2021-02-16T20:14:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -dc677c9e-af05-40aa-9df6-2c77f16ba0af,51341005,Ada,Data Analyst,on_site,"Toronto, ON, Canada",2021-02-16T20:51:33.950Z,"

                                                    We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 120 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
                                                    You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.
                                                    We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.
                                                    As a Data Analyst on the Analytics & Insights team, your work will be instrumental in shaping how millions of our customers interact with our products. You will be working directly with data engineers, data scientists, ML engineers, and business stakeholders to analyze and synthesize data that can guide our business and product strategies. You will be a subject matter expert to answer internal and external stakeholders’ questions with graphs, reports, and dashboards. In addition to your curious nature and attention to detail, we are looking for a Data Analyst who possesses clear verbal and written communication.

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Marketing-Insights-Analyst_R200010824,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:14:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/42286487-marketing-insights-analyst-at-bmo-financial-group,,expired,2020-11-23T14:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +6fead1d7-3043-4a16-a3dc-b39a0a9142f4,42288678,CN,Manager Delivery - Data Design,on_site,"Toronto, ON, Canada",2020-11-23T18:25:20.286Z,"

                                                    Job Summary

                                                    +

                                                    The Manager Data Design is responsible for managing and leading a team in charge of profiling, analyzing, integrating, modelling and publishing data and information required of supporting fact-based decision-making and continuous process improvement in a railway context. The role provides direction to CN’s Data Analysts and Data Designers to deliver new solutions as well as maintain, support and upgrade existing railroad design records covering CN business domains such as Engineering, Transportation, Safety, Operations, Marketing, Human Resources, Finance, Intermodal, Mechanicals and others. The Manager works with Data modelling, data back-end system design, technical integration and interface control with other CN systems. The role manages requirements, vendors, internal resources, quality control and risk management.

                                                    -

                                                    About You

                                                    -
                                                        -
                                                      • 1-3 years experience in a data analytics role in a digital vertical, with hands-on experience with analyzing large amounts of user and product data to build user personas, A/B test new ideas, validate new features, and improve overall user experience.
                                                      • -
                                                      • BA/BS or equivalent.
                                                      • -
                                                      • Fluent in SQL, experience with Python/R, experience with Looker/Tableau.
                                                      • -
                                                      • Worked in an agile environment and familiarity with sprints / Jira.
                                                      • -
                                                      • Ability to analyze complex problems and provide integrative solutions.
                                                      • -
                                                      • Strong written and verbal communication skills.
                                                      • -
                                                      • Experience with AWS / GCP a plus.
                                                      • -
                                                    -

                                                    Outcomes

                                                    -
                                                        -
                                                      • Ada’s user and chatter experience is improved by leveraging large amounts of data to model and build personas, journey mapping, and understanding intent.
                                                      • -
                                                      • Take ownership of projects from the analytics roadmap to deliver actionable insights to internal and external stakeholders.
                                                      • -
                                                      • Satisfy customized requests from external stakeholders by understanding their use cases and business metrics, and leverage our BI solutions to match their requirements.
                                                      • -
                                                      • Collaborate with product team to design, A/B test, and validate new feature ideas that impacts millions of daily chatters.
                                                      • -
                                                      • Become a strong partner with Sales / Marketing / ACX / Engineering / G&A to assist with planned/ad-hoc initiatives.
                                                      • -
                                                    -




                                                    #LI-RD2
                                                    About Us
                                                    Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration and generally, the way we work for the digital world instead of in-person. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.We are backed by world-class investors, including Accel, FirstMark, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                                    Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

                                                    ",,https://jobs.lever.co/ada/1e067614-404b-48d2-9824-1708a4b23ca4,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-08T16:01:00.000Z,False,0,15,68,https://talenthub.vectorinstitute.ai/jobs/51341005-data-analyst-at-ada,,expired,2021-02-16T20:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, -13bacbb3-6c91-4f3e-889b-18469c70aa21,51341283,KPMG,"Consultant/Senior Consultant, Information, Data and Analytics",on_site,"Toronto, ON, Canada",2021-02-16T20:56:16.199Z,"

                                                    Job Description

                                                    -

                                                    Overview

                                                    -

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    +

                                                    Main Responsibilities

                                                    -

                                                    When you join KPMG, you’ll be one of over 219,000 professionals providing audit, tax, advisory and business enablement services across 147 countries.

                                                    +

                                                    Work - Assessment & Planning (10%)

                                                    -

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    +

                                                    · Oversee the assessment and estimation of business requests requiring data analysis, profiling, modeling, transformation or integration work. Oversight includes analyzing requirements, formulating approach, estimating effort and aligning resources.

                                                    -

                                                    The opportunity:

                                                    +

                                                    Practice Evolution & Optimization

                                                    -

                                                    KPMG’s Management Consulting practice helps organizations leverage change. The Information, Data and Analytics team helps organizations leverage their data and information for competitive benefits and advantages by developing and optimizing their data governance, data management and data analytics programs and services, helping them transform their organization by leveraging emerging technologies.

                                                    The Information, Data and Analytics team is part of the Technology Strategy and Digital Transformation Service Line, which works with various organizations, both private and public. This multidisciplinary and multilingual team includes individuals with training and skills in information management, data management, metadata management, data engineering, analytics, data science, process re-engineering and architecture. We help our clients to digitally transform their business.

                                                    +

                                                    · Work with the team, other data & analytics teams, business users and architecture to provide overall team direction aligned with the I&T strategy and ensure adoption of best practices in data integration, analysis, and data modeling.

                                                    +

                                                    · Assist in the ongoing development of technical best practices for data movement, data quality, data cleansing and other data designing -related activities.

                                                    +

                                                    · Consolidate and optimize available data infrastructure

                                                    -

                                                    We are looking to fill Consultant and Senior Consultant positions, in various locations across Canada, though you will be asked to work on projects outside your local office. We are a dynamic and innovative team and equally passionate about what we do and the quality of services we provide to our clients.

                                                    -


                                                    What you will do

                                                    -

                                                    The successful candidate will support various projects in data management, information management, data/information governance, information process and flow mapping, data optimization, data classification, development and implementation of master data or metadata management programs, and/or multidisciplinary team participating in digital transformation projects.

                                                    +

                                                    Delivery

                                                    -

                                                    The successful candidate will have a range of responsibilities, including:

                                                    -
                                                      -
                                                    • Participating in client meetings and supporting the team in developing presentation materials in relation to project kick-off meetings, requirements gathering, project management, presentation of results, etc.
                                                    • -
                                                    • Participating in current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks.
                                                    • -
                                                    • Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling.
                                                    • -
                                                    • Supporting and guiding clients in implementing recommendations.
                                                    • -
                                                    • Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc.
                                                    • -
                                                    • Delivering high-quality work on time that meets the Firm’s quality standards and client expectations.
                                                    • -
                                                    • Working with cross-functional teams with people of diverse backgrounds and skill sets.
                                                    • -
                                                    • Applying best practice and process maturity knowledge observed in client engagements and personal research.
                                                    • -
                                                    -

                                                    It is highly probable that the incumbent will be required to travel within Canada as part of his/her duties. At times, business needs arise and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need time to devote to personal matters, and our approach to flexibility provides for this.

                                                    -


                                                    What you bring to the role

                                                    -
                                                      -
                                                    • 2- 5 years of relevant professional experience in data management.
                                                    • -
                                                    • Experience classifying, defining or profiling data.
                                                    • -
                                                    • Strong understanding of data and business processes.
                                                    • -
                                                    • Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM.
                                                    • -
                                                    • Experience and/or certification with Data and Information Platforms such as Microsoft O365, Azure, AWS, Snowflake etc.
                                                    • -
                                                    • Professional experience in the financial or insurance industry, an asset.
                                                    • -
                                                    • Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset.
                                                    • -
                                                    • Knowledge and experience with various governance or data management tools (Collibra, Informatica, IGC, etc.), an asset.
                                                    • -
                                                    • Any data and/or information certifications are of benefit and should be identified.
                                                    • -
                                                    • University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related field.
                                                    • -
                                                    -

                                                    Keys to your success:

                                                    -
                                                      -
                                                    • Ability to work independently with minimal supervision as well as work effectively within a multi-disciplinary team.
                                                    • -
                                                    • Superior verbal and written interpersonal communication skills.
                                                    • -
                                                    • Excellent client service skills.
                                                    • -
                                                    • Well organized with good prioritization/workload management abilities.
                                                    • -
                                                    • Professional discipline and importance of outstanding work.
                                                    • -
                                                    • Commitment to self-learning and continuous skill and professional knowledge development.
                                                    • -
                                                    • Professional curiosity.
                                                    • -
                                                    -

                                                    Learn more about where a career at KPMG can take you.

                                                    -


                                                    Our Values, The KPMG Way

                                                    ",,https://careers.kpmg.ca/professionals/jobs/7454?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-18T20:56:18.171Z,False,0,10,64,https://talenthub.vectorinstitute.ai/jobs/51341283-consultant-senior-consultant-information-data-and-analytics-at-kpmg,,expired,2021-02-16T20:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -0ef93502-a965-4c4b-af3b-bf832d8732a5,51444523,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2021-02-17T20:12:42.360Z,"

                                                    POSITION OVERVIEW

                                                    +

                                                    · Ensure tasks in data profiling, analysis, modeling, transformation and integration have a clear definition-of-done, are performed efficiently and delivered fit-for-purpose. Ensure work progress is visible and metrics in place to track productivity, timeliness and re-work. Participate with service offering managers and general application support to ensure SLAs are met.

                                                    -

                                                    As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI. You will report to the AI Engineering Director and work closely with a technical lead on your software development projects for day- to- day direction.

                                                    +

                                                    Leadership, Coaching & Mentoring

                                                    +

                                                    · Recruit, onboard, coach and develop a team of Data Analysts, Data Modelers and Data Designers professionals both employees & externals. Prepare and monitor development & career plans. Ensure strong internal and external team collaboration. Promote a spirit of transparency, open communication and commitment to continuous process improvement

                                                    -

                                                    Start date: May 2021 (4- and 8-month terms available)

                                                    +

                                                    Working Conditions

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    +

                                                    The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the person must be able to meet tight deadlines, handle pressure and manage stress.

                                                    -
                                                      -
                                                    • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                    • -
                                                    • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • -
                                                    • Develop open source software for applying AI research techniques to common problems;
                                                    • -
                                                    • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                    • -
                                                    • Develop prototypes and proofs of concept; and,
                                                    • -
                                                    • Report and present on software development including status and results.
                                                    • -
                                                    +

                                                    Requirements

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    +

                                                    Experience

                                                    +

                                                    Management

                                                    +

                                                    · Minimum 10 years of overall experience

                                                    +

                                                    · Minimum 5 years of experience demonstrating leadership qualities or overseeing deliverables

                                                    +

                                                    · Minimum 2 years of experience managing database back-end design and development

                                                    +

                                                    · Experience with asset management system design and maintenance strategy

                                                    +

                                                    · Railroad or Engineering & Transportation business experience*

                                                    +

                                                    · Cloud and Big Data experience

                                                    +

                                                    *Any experience for these above would be considered as an asset

                                                    -
                                                    • Currently enrolled at a Canadian university in third year or above in a Bachelor's program in computer science, mathematics, electrical engineering, or related discipline.
                                                    -
                                                      -
                                                    • Experience in machine learning and/or statistics.
                                                    • -
                                                    • Software engineering background with experience in industry.
                                                    • -
                                                    • Data engineering background working with messy real-world data.
                                                    • -
                                                    • Analytical skills to identify signal in data and feasibility of prediction.
                                                    • -
                                                    • Knowledge and experience of Python.
                                                    • -
                                                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                    • -
                                                    • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • -
                                                    • Data science experience considered an asset.
                                                    • -
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.
                                                    • -
                                                    +

                                                    Education/Certification/Designation

                                                    +

                                                    · Bachelor’s Degree in Computer Science, Information Systems, or related field or equivalent work experience

                                                    +

                                                    · Excellent leadership, organizational, interpersonal and relationship management skills

                                                    +

                                                    · Strong analytical and problem-solving skills

                                                    +

                                                    · Strong written and spoken communication skills. Ability to convey complex business concepts in technical language and vice versa

                                                    +

                                                    *Any designation for these above would be considered as an asset

                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. The application deadline is March 4, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    +

                                                    Competencies

                                                    +

                                                    · Sets goals that are consistent with CN's plan and takes responsibility for achieving results

                                                    +

                                                    · Shares timely information within and across functions to get things done effectively

                                                    +

                                                    · Demonstrates analytical thinking and a broad vision when making decisions

                                                    +

                                                    · Addresses risks in a timely manner to eliminate them

                                                    +

                                                    · Innovates through problem solving

                                                    +

                                                    · Possess organizational, time-management and prioritizing competencies

                                                    +

                                                    · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                    +

                                                    · Demonstrates good judgment in decision making and makes difficult and timely decisions

                                                    +

                                                    · Is inspirational and innovative

                                                    +

                                                    · Prioritize individual development and continuous learning

                                                    +

                                                    · Deals with pressure and change by staying calm to quickly adapt to changes

                                                    +

                                                    · Builds a relationship with clients and provides valuable services

                                                    +

                                                    Technical Skills/Knowledge

                                                    +

                                                    · Strong modelling knowledge, relational and dimensional

                                                    +

                                                    · Strong knowledge of SQL

                                                    +

                                                    · Strong knowledge of Jira, Azure DevOps or other workload management tools

                                                    +

                                                    · Good knowledge of Hadoop

                                                    +

                                                    · Good knowledge of data profiling tools

                                                    +

                                                    · Good knowledge of ERwin or other data modeling tool

                                                    +

                                                    · Experience with Tableau, Power BI and SAP Business Objects*

                                                    +

                                                    · Experience with Netezza, Snowflake and Informatica*

                                                    -

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=120&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-08T16:12:00.000Z,False,0,59,308,https://talenthub.vectorinstitute.ai/jobs/51444523-applied-machine-learning-intern-at-vector-institute,,expired,2021-02-17T20:12:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, -4831dddb-7bfc-4458-8951-6509a9ea991e,51548403,TD Bank Group,Sr BI & Reporting Analyst,on_site,"Toronto, ON",2021-02-18T14:34:05.659Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                    -

                                                    TD Insurance Data & Insights group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                    -

                                                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                    -

                                                    Joining us in TD Insurance Data & Insights is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                                                    -

                                                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                                                    -

                                                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                                                    -

                                                    As a Senior Business Intelligence & Reporting Analyst, you will:

                                                    -

                                                    -
                                                  • Produce specialized reporting packages, dashboards and scorecards for businesses
                                                  • -
                                                  • Lead the implementation of initiatives in support of overall business/function strategy
                                                  • -
                                                  • Conduct analysis to provide improved BI to inform management leadership team
                                                  • -
                                                  • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                  • -
                                                  • Validate the quality and integrity of the data included in all reporting
                                                  • -
                                                  • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                                                  • -
                                                  • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                                                  • -
                                                  • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                  • -
                                                  • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                  • -
                                                  • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                  • -
                                                  • Work independently as the senior analyst / expert and may provide technical support to others
                                                  • -
                                                  • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                                                  • -
                                                  • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                  • -

                                                    `

                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -

                                                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    -
                                                      -
                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Five (5) or more years relevant experience
                                                    • -
                                                    • Undergraduate degree in Business, Math, or a related discipline
                                                    • -
                                                    • Five (5) or more years relevant experience
                                                    • -
                                                    • -Priority is given to the candidates with prior experience with Azure cloud platform, Hadoop based environments, Python, and Tableau.
                                                    • -
                                                    -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12428218/sr-bi-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-15T16:42:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/51548403-sr-bi-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12428218/sr-bi-reporting-analyst-toronto-ca/,expired,2021-02-18T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a6d44f45-9333-4e71-8c09-06928b319b92,51551521,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-02-18T14:54:29.726Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Partner with clients to solve their most complex problems

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                    -

                                                    -

                                                    Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    What you will bring

                                                    -

                                                    -
                                                    • 2+ years in an infrastructure and/or DevOps role
                                                    • BS or MS in computer science, or equivalent
                                                    • -Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                      • Hosted Kubernetes on AWS, Azure or GCP
                                                      • Installing and maintaining on-premise Kubernetes infrastructure
                                                    • Coding experience in one of Python, JavaScript or Java
                                                    • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                    • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                    • Proven record of following continuous integration and delivery best practices
                                                    • Expertise in GIT and Jenkins pipelines
                                                    • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                    • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                    • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                    • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                    • Understanding of cloud computing and on-premise security principles and best practices
                                                    • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-03-24T15:34:52.060Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/51551521-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-02-18T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -bcb01ca9-62fc-4bb8-935b-66e0f921e68c,51566221,Accenture,GCP Data Engineering Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-02-18T21:25:14.061Z,"

                                                    Job Description

                                                    WeAre:

                                                    +

                                                    *Any knowledge for any of the above would be considered as an asset

                                                    -

                                                    AppliedIntelligence, the people who love using data to tell a story. We’re also theworld’s largest team of data scientists, data engineers, and experts in machinelearning and AI. A great day for us? Solving big problems using the latesttech, serious brain power, and deep knowledge of just about every industry. Webelieve a mix of data, analytics, automation, and responsible AI can do almostanything—spark digital metamorphoses, widen the range of what humans can do,and breathe life into smart products and services. Want to join our crew ofsharp analytical minds? Visit us here to find out moreabout Applied Intelligence.

                                                    -

                                                    -

                                                    YouAre:

                                                    +

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5491?c=cn360,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2020-12-23T18:25:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/42288678-manager-delivery-data-design-at-cn,,expired,2020-11-23T18:25:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Manager,Bachelors Degree,Re-Posting an Expired Job, +28baabd0-e692-479e-b1c4-1400651df5b8,42288731,BMO Financial Group,"Data Analyst - Business Operations, Winter 2021 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON, Canada",2020-11-23T18:40:57.744Z,"

                                                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                    -

                                                    AnAI, machine learning, and statistical programming guru with tons of experiencein data engineering architecture. Your superpower? Applying modern data andcloud technologies to design and build stand-out data solutions that helpclients meet the challenges of digitization so they can do more. You’re in yourelement juggling modern data technologies like Hadoop and NoSQL and you knowhow to use them to forge a modern data platform. As a senior manager, you haveleadership skills in spades and expertise in managing large teams and/orprojects at a client.

                                                    +

                                                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                    -

                                                    -

                                                    -

                                                    TheWork:

                                                    +

                                                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                    -
                                                    • Oversee efforts to provide solutions to digital-age data challenges facing clients in multiple industries

                                                      -
                                                    • Design and build an ecosystem of modern data technologies on premise and on GCP cloud

                                                      -
                                                    • Revamp the current platform by re-engineering data acquisition, storage, processing, security, data management, governance, and analysis

                                                      -
                                                    • Work with clients to define the future-state architectures of their data platforms and play a lead role in setting up a roadmap to reach that state

                                                      -
                                                    • Spot and assess complex problems for area(s) you’re in charge of

                                                      -
                                                    • Take part in setting strategic direction to set near-term goals for area(s) of responsibility

                                                      -
                                                    • Possess a solid grasp of what’s involved in planning, scaling, deployment, and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies

                                                      -
                                                    • -
                                                    -
                                                    -
                                                    READ MORE OF THE JOB DESCRIPTION

                                                    -
                                                    -

                                                    Qualifications

                                                    -

                                                    Here’sWhat You Need:

                                                    +

                                                    Note: To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                    -
                                                    • Minimum 5+ years of architecting, implementing, and successfully operationalizing large-scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on GCP using many of the relevant technologies such as BigQuery, DataProc, Sub/Pub.

                                                      -
                                                    • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                                      -
                                                    • Minimum 5+ years of Spark/MR/ETL processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                                      -
                                                    • Minimum 5+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                                      -
                                                    • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                                      -
                                                    • -
                                                    -

                                                    BonusPoints :

                                                    -
                                                    • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                                      -
                                                    • You have a minimum of 5+ years of experience implementing large-scale secure cloud data solutions using Google data and analytics services—e.g., BigQuery, DataProc

                                                      -
                                                    • You have a minimum of 5+ years of experience building data management (metadata, lineage, tracking, etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on Google cloud

                                                      -
                                                    • You have a minimum of 5+ years of Re-architecting and rationalizing traditional data warehouses on premise or transition to Google cloud

                                                      +

                                                      Provides production and end-user support for the Finance technical platform and system environment that supports financial data & control structures (e.g. SOX control activities, user access controls, data integrity controls) in order to provide accurate and relevant financial information for regulatory, statutory and management reporting purposes. Supports the planning, maintenance and change management for process changes, financial production schedules, tasks and reconciliations. Works with stakeholders to resolve issues and provide solutions that enable the enterprise finance and accounting processes and related systems to ensure service delivery and effectiveness.

                                                      +
                                                        +
                                                      • Provides input into the planning and implementation of financial production schedules, reconciliations and reporting requirements.
                                                      • +
                                                      • Supports the execution of financial systems operational programs; assesses and adapts as needed to ensure quality of execution.
                                                      • +
                                                      • Builds effective relationships with internal/external stakeholders.
                                                      • +
                                                      • Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities.
                                                      • +
                                                      • Provides input into the planning and implementation of financial production schedules, reconciliations and reporting requirements.
                                                      • +
                                                      • Monitors Financial system technical infrastructure, applications and/or business transactions across the environment
                                                      • +
                                                      • Provides first-line, end-user support to resolve issues with the Finance production systems and applications; works with Technology and other stakeholders to investigate, perform root cause analysis and plan corrective actions
                                                      • +
                                                      • Executes routine tasks such as maintenance, service requests, transactions, queries etc. within relevant service level agreements e.g. maintain changes to financial system tables and financial hierarchies
                                                      • +
                                                      • Supports the system access provisioning processes according to guidelines and policies
                                                      • +
                                                      • Supports the data reconciliation processes between core finance systems
                                                      • +
                                                      • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                      • +
                                                      • Supports the development of tools and delivery of training for financial management system-related processes
                                                      • +
                                                      • Develops tools and training content for financial management system related processes; may include delivery of training to audiences.
                                                      • +
                                                      • Focus may be on a business/group.
                                                      • +
                                                      • Thinks creatively and proposes new solutions.
                                                      • +
                                                      • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                      • +
                                                      • Works mostly independently.
                                                      • +
                                                      • Broader work or accountabilities may be assigned as needed.



                                                        Qualifications:

                                                      • +
                                                      • As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                      • +
                                                      • Experience in financial information management, network administration.
                                                      • +
                                                      • Knowledge of financial applications and systems.
                                                      • +
                                                      • Knowledge of finance and accounting principles – In-depth.
                                                      • +
                                                      • Specialized knowledge from education and/or business experience.
                                                      • +
                                                      • Verbal & written communication skills - In-depth.
                                                      • +
                                                      • Collaboration & team skills - In-depth.
                                                      • +
                                                      • Analytical and problem solving skills - In-depth.
                                                      • +
                                                      • Influence skills - In-depth.
                                                      -

                                                      Weare a global collective of innovators applying the New every day to improve theway the world works and lives. Help us show the world what’s possible as youpartner with clients to unlock hidden value and deliver innovativesolutions. Empowered with innovative tools, continuous learning and a globalcommunity of diverse talent and perspectives, we drive success in a newbusiness architecture that disrupts conventional practices. Our expertise spans40+ industries across 120+ countries and impacts millions of lives everyday. We turn ideas into reality.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      OurCommitment to Inclusion & Diversity

                                                      -

                                                      AtAccenture, inclusion and diversity are fundamental to our culture and embeddedin our core values. We are committed to creating a workforce where our peoplecan feel comfortable, be themselves and contribute. Like Canada itself,Accenture employees represent a tremendous variety of cultures, ethnicities,beliefs, backgrounds and languages. We offer an inclusive environmentregardless of personal characteristics such as ethnicity, religion, gender,sexual orientation, gender identity or expression, age or disability.

                                                      -

                                                      +

                                                      We’re here to help

                                                      -

                                                      +

                                                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                      +

                                                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                      -

                                                      Requestingan Accommodation

                                                      +

                                                      To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Accentureis committed to providing equal employment opportunities for persons withdisabilities or religious observances, including reasonable accommodation whenneeded. If you are hired by Accenture and require accommodation to perform theessential functions of your role, you will be asked to participate in ourreasonable accommodation process. Accommodations made to facilitate therecruiting process are not a guarantee of future or continued accommodations oncehired.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Ifyou would like to be considered for employment opportunities with Accenture andhave accommodation needs for a disability or religious observance, please callus toll free at 1 (877) 889-9009, send us an email or speak with yourrecruiter.

                                                      -

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                                                      -

                                                      -

                                                      -

                                                      -

                                                      OtherEmployment Statements

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Itis currently our objective to assign our people to work near where theylive. However, given the nature of our business and our need to serveclients, our employees must be available to travel when needed.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Jobcandidates are not required to disclose any offence for which a pardon has beengranted.

                                                      -

                                                      -

                                                      -
                                                      -
                                                    -

                                                    Locations

                                                    Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                    -
                                                    -
                                                    -

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    -

                                                    Equal Employment Opportunity Statement

                                                    -

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    -

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    -

                                                    Requesting An Accommodation

                                                    -

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    -

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    -

                                                    Other Employment Statements

                                                    -

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    -

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00930066_en&title=GCP+Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-03-01T16:41:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/51566221-gcp-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00930066_en&title=GCP+Data+Engineering+Manager,expired,2021-02-18T21:25:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -4dbc2d4f-1508-40da-9a04-01311c59aa0c,51890037,Roche,Computational Biologist,on_site,"Mississauga, ON, Canada",2021-02-22T14:31:32.267Z,"

                                                    Title: Computational Biologist
                                                    Department: Global IT Solution Center
                                                    Location: Mississauga Head Office
                                                    Duration: Full time

                                                    -

                                                    -

                                                    Project

                                                    -

                                                    Looking for interdisciplinary scientist with experience in computing and biology to perform scientific data analyses in partnership with Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

                                                    -

                                                    -

                                                    Required Skills

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-Analyst---Business-Operations--Winter-2021--Co-op-Internship----4-Months_R200011341,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:15:00.000Z,False,0,9,37,https://talenthub.vectorinstitute.ai/jobs/42288731-data-analyst-business-operations-winter-2021-co-op-internship-4-months-at-bmo-financial-group,,expired,2020-11-23T18:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +67371bc1-14a4-4558-9d66-71376408efe5,42288741,BMO Financial Group,"Senior Analyst, Hedging and Risk Modeling, ALM - New Grad (2020 start)",on_site,"Toronto, ON, Canada",2020-11-23T18:42:26.766Z,"

                                                    Supports the research and development of quantitative risk modeling methodologies and option hedging and investment strategies. Working as part of the Balance Sheet Analytics (ALM) team in the Global Treasury Group to manage structural market risks arising from business/group portfolios and products. Develops and implements models / methodologies to ensure market risk in banking products are properly measured and support effective risk management practices. Works with internal and external stakeholders to ensure market risks are properly identified and understood with supporting models and strategies successfully implemented.

                                                      -
                                                    • 3-6 years of experience required with minimum of a Bachelor’s Degree in Information Technology, Bioinformatics, or related sciences; advanced degree in Biological field with significant computational training also acceptable; PhD and post-doctoral experience preferred.
                                                    • -
                                                    • Unix/Linux proficiency and R programming including experience with Bioconductor libraries.
                                                    • -
                                                    • Documented experience with sequencing/genomic data analysis (NGS) and related bioinformatics tools and libraries (eg. RNAseq analysis, WGS, single cell analyses).
                                                    • -
                                                    • Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.
                                                    • -
                                                    • Excellent communication, advanced English reading, writing, listening and speaking skills.
                                                    • -
                                                    • Responsible and reliable; goal and task oriented. Able to work independently to answer scientific questions using public and private data sets.
                                                    • +
                                                    • Develops analytical solutions, models and methodologies used to manage risks related to the Bank’s portfolios and products e.g. valuations; hedging strategies, customer behaviorial models, performance measurement, etc.
                                                    • +
                                                    • Monitors the financial market environment and model performance impacts for optimal execution of risk strategies.
                                                    • +
                                                    • Maintains operational procedures and processes relating to data acquisition, analytical and reporting processes.
                                                    • +
                                                    • Ensures compliance with model risk and market risk governance and provides financial instrument transaction oversight.
                                                    • +
                                                    • Works closely with businesses and corporate partners to perform enterprise wise stress testing of the bank’s Net Interest Income in support of capital adequacy assessment
                                                    • +
                                                    • Performs analytics and reporting of economic and P&L performance of Corporate Treasury as a result of its hedging, investment and funding activities.
                                                    • +
                                                    • Researches industry best practices with respect to structural market risk modeling and methodology
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Monitors and tracks changes to position and component risk metrics over reporting periods; addresses and / or escalates any issues.
                                                    • +
                                                    • Analyzes data and information to provide insights and recommendations.
                                                    • +
                                                    • Works with various data owners to discover and select data from internal and external sources e.g. lending system, payment system, external credit rating system.
                                                    • +
                                                    • Applies scripting / programming skills to assemble source data into structured datasets with multiple levels of granularities e.g., demographics, customers, products, transaction.
                                                    • +
                                                    • Applies suitable statistical techniques to perform analysis e.g., A/B testing, mathematical models, algorithms, machine learning to test, verify, refine hypotheses.
                                                    • +
                                                    • Collaborates with internal and external stakeholders to deliver on business objectives including third party suppliers.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Participates in the design, implementation and management of core business/group processes.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently on a range of complex tasks, which may include unique situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.
                                                    -

                                                    -

                                                    Preferred Skills and Experience

                                                    +

                                                    Qualifications:

                                                      -
                                                    • Strong background, experience, or degree in biomedical field is preferred (eg. Oncology, Neuroscience, Immunology, Microbiology, Genetics, etc.).
                                                    • -
                                                    • History of scientific authorship. (First, middle, and senior author articles all beneficial.)
                                                    • -
                                                    • Experience with version control and issue tracking systems (eg. git, JIRA).
                                                    • -
                                                    • Experience with SQL and no-SQL databases.
                                                    • -
                                                    • Experience working with High Performance Computing (HPC) environments.
                                                    • -
                                                    • Machine Learning and Data Mining skills are a benefit.
                                                    • -
                                                    • Please briefly highlight publications/experience with computational analysis of Single Cell (eg. scRNAseq), ATACseq, ChipSeq, GWAS, WES, Gene Set or Pathway Analyses, and related datasets.
                                                    • -
                                                    • Please briefly highlight publications/experience with epigenetic, proteomic, lipidomic, functional genomic, iPSC, structural biology, or microbiome analyses.
                                                    • +
                                                    • Relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Degree in either Financial Engineering, Mathematic Finance, Computer Science, Economics or Risk Management preferred
                                                    • +
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • +
                                                    • Required Programming Skills: Excel/VBA; Nice to have: Bloomberg, R, Python, SQL, SAS
                                                    • +
                                                    • Understanding of Asset Liability Management/Capital Markets concepts.
                                                    • +
                                                    • Highly developed quantitative skills.
                                                    • +
                                                    • Working experience in a Finance environment with exposure to one or more of the following:
                                                    • +
                                                    • Risk management, financial market products and pricing, Balance Sheet / Asset Liability management.
                                                    • +
                                                    • Knowledge of quantitative modelling including understanding of statistics, risk and financial metrics.
                                                    • +
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.

                                                    -

                                                    List of Duties

                                                    -
                                                      -
                                                    • Engage with partner scientists at Genentech, understand their biological questions, and use public and internal databases to provide reliable scientific answers.
                                                    • -
                                                    • Running existing pipelines to process and analyze sequencing data.
                                                    • -
                                                    • Reporting, documenting and visualizing data analysis results using open source and internally developed tools.
                                                    • -
                                                    • Occasional development of custom R/Shiny applications.
                                                    • -

                                                    -

                                                    Our offer

                                                    -
                                                      -
                                                    • Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function;
                                                    • -
                                                    • Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives;
                                                    • -
                                                    • Attractive and competitive salary and package;
                                                    • -
                                                    • Professional development culture supported by training, development plans, and international opportunities.
                                                    • -
                                                    • Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).
                                                    • -

                                                    -

                                                    Please submit full academic CV with publication history and cover letter.

                                                    -

                                                    In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions.

                                                    -

                                                    Position will be posted until filled.

                                                    -

                                                    NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                    +

                                                    We’re here to help

                                                    -

                                                    AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    Roche is an equal opportunity employer.

                                                    -

                                                    Information Technology, Information Technology > Application Development / Programming

                                                    ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202006-116749&locale=en&title=Computational+Biologist&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-03-24T14:31:36.900Z,False,0,8,71,https://talenthub.vectorinstitute.ai/jobs/51890037-computational-biologist-at-roche,,expired,2021-02-22T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -2e96afb0-c097-4d3f-a7a4-c344759f3956,51890045,Loblaw Companies Ltd.,Machine Learning Software Developer,on_site,"Toronto, ON, Canada",2021-02-22T14:33:49.760Z,"
                                                    -
                                                    -
                                                    -

                                                    Location:

                                                    -

                                                    -

                                                    -

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Why is this role important?

                                                    -

                                                    At Loblaws, we know that our customers expect the very best from us. Whether that means building the best, most innovative customer experience through targeted recommendations, or designing an app or design decision engines for logistics/resource optimizations in real time that will impact the lives of people across the country, we’re up for the challenge. The Data Insights & Analytics (DIA) division is transforming the methodologies used to personalize our customer's experience. To enable this, we build scalable, reusable data-driven ML approaches to build the state of the art. Join us in this dream to build & scale.

                                                    -

                                                    -

                                                    Our data story

                                                    -

                                                    -

                                                    As Canada’s largest retailer, with well-established and widely-used loyalty programs, we have an enviable wealth of data at our disposal – and it’s now time to deploy it in the service of an evolving and superior customer experience. The Solutions Engineering team here seeks passionate individuals to build & deploy scalable ML products, and who share the same purpose to fearlessly embark on this adventure with us. We are more than just analytics: we ship actual products, in the form of models that directly impact user experience.

                                                    -

                                                    -

                                                    We’re looking to increase the engineering horsepower of our analytics teams so that we can work seamlessly integrate with analytics teams to build & deploy models at scale. We’re looking for a solid software engineer with a data science background who is comfortable in both worlds, can contribute to ambitious ML-based projects, but also help us to write reliable microservices and stream-processing systems to deliver data and insights downstream at the pace required by the business. Experience working with NLP and/or ML techniques is preferred, though is secondary to your software engineering skillset for this role.

                                                    -

                                                    -

                                                    Responsibilities:

                                                    -
                                                      -
                                                    • Work cross-functionally with engineering, product, and data science/analytics teams to productionize the data science models at scale through a Service Oriented Architecture (SOA)
                                                    • -
                                                    • Develop robust, high performance batch/streaming solutions for transforming the various data sources produced by other parts of the business into training data, inputs to models, and actionable insights
                                                    • -
                                                    • Build & maintain feature pipelines to curate operational data as analytical features
                                                    • -
                                                    • Develop predictive models to help inform business decisions based upon shifts in consumer behavior.
                                                    • -
                                                    • Consult on analytical architectures and provide engineering support for build, dev and validation phases of data products within analytics teams.
                                                    • -
                                                    -

                                                    -

                                                    Minimum qualifications:

                                                    -

                                                    -

                                                    Technical Skills:

                                                    -
                                                      -
                                                    • BA/BS in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • -
                                                    • Proficient in at least 1 compiled language, and at least 1 other programming language
                                                    • -
                                                    • Familiar with the concepts and idioms of functional programming
                                                    • -
                                                    • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                                    • -
                                                    • Demonstrable superiority working with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                                    • -
                                                    • Comfortable with at least some of the latest “big-data” tools, such as spark, kafka, hive, beam, etc.
                                                    • -
                                                    • Experience with at least one modern REST framework (flask/Sinatra/express/etc) -
                                                    • -
                                                    • Experience building with Microservices architecture
                                                    • -
                                                    • DAG orchestrations using workflow management systems – Airflow, Luigi
                                                    • -
                                                    • DevOps experience with Dockers, Git (Bitbucket/Gitflow), Jenkins
                                                    • -
                                                    • Experience with cloud environments such as Databricks/GCP/Azure
                                                    • -
                                                    -

                                                    -

                                                    Soft Skills:

                                                    -
                                                      -
                                                    • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                                    • -
                                                    • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                                    • -
                                                    • Extremely well organized, proactive.
                                                    • -
                                                    • Ability to multi-task and prioritize workloads.
                                                    • -
                                                    -

                                                    -

                                                    Preferred qualifications:

                                                    -
                                                      -
                                                    • MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • -
                                                    • Familiar with JVM languages and associated ecosystem
                                                    • -
                                                    • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
                                                    • -
                                                    • Experience with developing python and pyspark applications
                                                    • -
                                                    • Familiarity with MLOps tools (Mlflow/DVC/AzureML/etc) -
                                                    • -
                                                    -

                                                    Deployed machine learning models in GCP environment or basic familiarity to Kubernetes/Kubeflow.

                                                    -

                                                    -

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    -

                                                    -

                                                    -

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Machine-Learning-Software-Developer_R2000185891,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-03-01T15:32:04.345Z,False,0,6,20,https://talenthub.vectorinstitute.ai/jobs/51890045-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Machine-Learning-Software-Developer_R2000185891,expired,2021-02-22T14:33:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,Re-Posting an Expired Job, -a90fe54d-53f3-4f8b-99ee-354b738f1dae,51890050,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Toronto, ON",2021-02-22T14:34:10.560Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                    -

                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                    -

                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                    -
                                                    +

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    -

                                                    About this Role

                                                    -

                                                    With a burgeoning career as a forecasting analyst, you abide by a key philosophy: the more data the better. Good thing TD has vast amounts of it to parse – as in petabytes. You will join a team of data specialists who create complex data models. You will support numerous data analysis functions across the enterprise including data modeling, visualization, data profiling, report design and other specialized data management functions. TD will look to you to assess our current data capabilities and identify (at a high level) the data requirements for a broad variety of business needs. To meet those needs, your team will propose data management solutions based on industry gold standard methodologies and trends. As your career grows, so does your own drive to learn and enhance your own expertise.

                                                    -

                                                    We are looking for someone to provide strategic technical planning on an innovative team of data specialists, using complex, industry-leading tools to support our business processes through descriptive and predictive modelling.

                                                    -

                                                    As a Modelling/Forecasting Analyst you will:

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Hedging-and-Risk-Modeling--ALM---New-Grad--2020-start-_R200014994,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-11-30T16:15:00.000Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/42288741-senior-analyst-hedging-and-risk-modeling-alm-new-grad-2020-start-at-bmo-financial-group,,expired,2020-11-23T18:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +59a8926e-4df2-4402-806c-a189f7aa1245,42329299,Clearpath,Senior Systems Engineer (Design),on_site,"Kitchener, Ontario",2020-11-25T06:21:18.074Z,"

                                                    Description

                                                    +

                                                    Position: Senior Systems Engineer (Design)
                                                    Location: Kitchener, Ontario
                                                    Experience: 10+ years of experience
                                                    Education: College / University Degree in an Engineering Discipline
                                                    Division: OTTO Motors

                                                    +

                                                    About Clearpath Robotics Inc.

                                                    +

                                                    Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                    +

                                                    About OTTO Motors

                                                    +

                                                    OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                    +

                                                    About the Job

                                                    +

                                                    Systems Engineering is about creating something that is more than the sum of the parts. You will be responsible for using your varied experience and appropriate modelling and methodologies to determine the solution to a product problem by applying the optimum combination of mechanical, electronic and software solutions. You will work directly with the other teams in the Software, Electronics, Test and Mechanical Design disciplines to interpret the product requirements and produce an integrated product. You will then be responsible for defining the specifications of the final product and validating that it meets the requirements.

                                                    +

                                                    Primary responsibilities include:

                                                      -
                                                    • Work with data specialist to assess current capabilities and identify high-level business data requirements
                                                    • -
                                                    • Analyze identified data quality issues against source system and existing data quality capabilities to confirm the source of the data quality
                                                    • -
                                                    • Work under general guidance of Data Specialists or Managers to identify, design, develop and support data management solutions for the bank
                                                    • -
                                                    • Work with IT to deliver on data requirements
                                                    • -
                                                    • Understand the banks source systems, data and metadata
                                                    • -
                                                    • Work on TD platform to deliver data solutions required for analytics and modelling solutions
                                                    • -
                                                    • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                                                    • -
                                                    • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                                                    • -
                                                    • Support a positive work environment that promotes service to the business, quality, innovation and ensure timely communication of issues/ points of interest
                                                    • +
                                                    • Developing Engineering requirements and design approaches from product requirements and stakeholder feedback
                                                    • +
                                                    • Ensuring that proper design and validation procedures are followed.
                                                    • +
                                                    • Managing the engineering development of key products
                                                    • +
                                                    • Applying appropriate simulation and modelling techniques to the design problems in order to allow for rapid iteration
                                                    • +
                                                    • Support and help to develop MiL and HiL testing
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +

                                                    Additional tasks:

                                                      -
                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Three (3) or more years relevant experience
                                                    • -
                                                    -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12321597/modelling-forecasting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-04T15:35:27.679Z,False,0,9,40,https://talenthub.vectorinstitute.ai/jobs/51890050-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12321597/modelling-forecasting-analyst-toronto-ca/,expired,2021-02-22T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -69c39ccc-141b-4d2f-8aec-2945dcc31e97,51894517,CN,Senior Python Developer,on_site,"Toronto, ONTARIO, Canada",2021-02-22T14:54:31.242Z,"
                                                    -

                                                    -

                                                    At CN, we work together to move our company—and NorthAmerica—forward. Be part of our Information & Technology (I&T) team, acritical piece of the engine that keeps us in motion. From enterprisearchitecture to operational technology, our teams use the agile methodology toautomate and digitize our railroad ensuring our operations run optimally andsafely and our employees can focus on value-added tasks. You will be able todevelop your skills and career in our close-knit, safety-focused cultureworking together as ONE TEAM. The careers we offer are meaningful because thework we do matters. Join us!

                                                    -

                                                    -

                                                    Job Summary

                                                    -

                                                    The role of Specialist Capacity Performance and Reliability (CPR) Software Development is to contribute to the solution by analyzing functional specifications to identify the best technical design (blueprint) and coding parts of the application. The Specialist takes full responsibility of assigned deliverables, aligns own workload and focuses on key tasks in order to deliver as per service commitment, leveraging own expertise and skill set to achieve delivery goals. Depending on the assignment, the role may apply in either a Project, Enhancement or Support environment.

                                                    -

                                                    -

                                                    The CPR Specialist will focus on the enhancement of the CPR Automation Framework to support the PTC, Rail Automation, and Automated Track Inspection programs.

                                                    -

                                                    -

                                                    Main responsibilities

                                                    -
                                                      -
                                                    • Write performing quality code to fulfill design and pass code review with minimal number of defects

                                                    • -
                                                    • Apply configuration on development environment when required

                                                    • -
                                                    • Participate in implementing full product in production. Supports developer in providing application versions and details for implementation plan.

                                                    • -
                                                    • Interact with Functional Designer to understand requirements. Highlight the technical impacts of the functional design on existing applications based on a detailed analysis.

                                                    • -
                                                    • Deliver technical design and database structure for medium to high application complexity

                                                    • -
                                                    • Maintain technical documentations

                                                    • -
                                                    • Contribute in developing the design and coding standards that will apply to the whole practice

                                                    • -
                                                    • Document blueprint based on requirements & functional designs

                                                    • -
                                                    • Ensure Quality KPI are identified, measured and produced ensuring respect of development standards. Ensure right level of testing (Unit & Assembly) is consistent across all projects

                                                    • -
                                                    • Managing Life cycle of delivery of complex software solution

                                                    • -
                                                    • Work with Project Managers to support the planning and delivery to ensure project commitments are met

                                                    • -
                                                    • Understand rail architecture in order to develop data models of all integration points

                                                    • -
                                                    -

                                                    Requirements

                                                    -

                                                    Experience

                                                    -
                                                      -
                                                    • Minimum 7-10 years overall work experience

                                                    • -
                                                    • Minimum of 5 years experience as a developer

                                                    • +
                                                    • Reporting on project progress and risks
                                                    • +
                                                    • Providing input on new product direction and scope
                                                    • +
                                                    • Assisting with component selection
                                                    -

                                                    Technical Skills and Competencies

                                                    -
                                                      -
                                                    • Experience in Project delivery and software engineering projects in a corporate or enterprise environment using Java and Python

                                                    • -
                                                    • Knowledge on test automation for Performance, Load and Functional Testing

                                                    • -
                                                    • Experience in the Design and Development of Test Traffic Generating tools

                                                    • -
                                                    • -

                                                      Proficient in programming technologies in area of expertise

                                                      -
                                                        -
                                                      • Java JDK8 or above, Jmeter framework, Gradle, Maven.

                                                      • -
                                                      • Python 2.7 and 3.X, knowledge of Flask, Twisted, Logbook

                                                      • -
                                                      • Networking protocols such as TCP/IP, IBM MQ, and Protocol Buffers aka PROTOBUF.

                                                      • -
                                                      • Kafka, Azure Event Hub, Elasticsearch, Logstash, and Kibana (ELK)

                                                      • -
                                                      • Application development of REST-based API's (json/yaml/OpenAPI) using python, and Micro services,

                                                      • +

                                                        About You

                                                        +

                                                        You want to work for a fast-moving company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

                                                        +

                                                        As an experienced Systems Engineer you believe that the final product is more than the sum of its component parts and live in this area of optimising the intersection of the components. You are no stranger to the intricacies of engineering compromise and the need to consider all aspects of the whole when crafting the ultimate fulfillment of the requirements. Your mastery comes from your tertiary degree in an engineering discipline and years of experience in developing systems involving mechanical, electronic and software aspects. You are able to break down a complex system into models and validate these as being representative of the real system.

                                                        +

                                                        Required skills:

                                                        +
                                                          +
                                                        • Experience in Systems Optimization or Modelling
                                                        • +
                                                        • 5+ years of experience in Systems Engineering
                                                        • +
                                                        • 8+ years of relevant work experience
                                                        • +
                                                        • Experience with systems involving mechanical, electronic, software and human elements.
                                                        • +
                                                        • An understanding of Product Development and Deployment
                                                        - -
                                                      • Proficient in DevOps, Build Automation using Azure/Jenkins, Docker and Kubernetes, Version Control (Bitbucket, Git), and Jira

                                                      • +

                                                        +

                                                        Bonus Skills

                                                        +
                                                          +
                                                        • Experience in developing with the V-Model
                                                        • +
                                                        • Experience with vehicle development and / or industrial automation
                                                        • +
                                                        • Experience designing or modelling kinematic systems
                                                        • +
                                                        • Able to write scripts and programs to solve your calculation and design problems. MatLab, Python, C or similar.
                                                        • +
                                                        • Experience in developing Hardware-in-the-Loop testing
                                                        • +
                                                        • Experience with ROS
                                                        • +
                                                        • Technical Project Management Experience
                                                        -

                                                        -

                                                        Education/Certification/Designation

                                                        -
                                                        • Bachelor's degree in Computer Science or equivalent degree or work experience

                                                        -

                                                        General Skills and Competencies

                                                        -
                                                          -
                                                        • Analytic mindset and proven problem-solving abilities

                                                        • -
                                                        • Ability to summarize complex situations in an efficient manner

                                                        • -
                                                        • Ability to understand and follow corporate processes (e.g. S-SDLC & SOX processes).

                                                        • -
                                                        • Maintains composure in adverse situations.

                                                        • -
                                                        • Functional/technical proficiency with large full life cycle projects

                                                        • -
                                                        • Ability to understand and follow corporate processes (e.g. S-SDLC & SOX processes).

                                                        • +

                                                          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                    ",,http://jobs.jobvite.com/clearpath/job/oksEdfwn,feed-importer@jobboard.io,,,,2020-12-26T15:09:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/42329299-senior-systems-engineer-design-at-clearpath,http://jobs.jobvite.com/clearpath/job/oksEdfwn,expired,2020-11-25T06:21:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, +2f6fa80d-fddb-481d-9641-9f5d661d970d,42478882,RBC,Director - AI Engineering,on_site,"Toronto, Ontario, Canada",2020-11-27T06:21:41.646Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    +

                                                    As a leading technology infrastructure organization, RBC Tech Infrastructure is seeking a Hands-on, Director, AI Engineering, which will require the person to drive the enhancement for AIOps (Artificial Intelligence for Operations), cloud-native data solution, and API enabled enterprise applications. You will work with technical and business stakeholders to make data accessible, drive automation, and generate insights through advanced machine learning and AI. This role will start as an individual contributor with the potential of driving a team and will report to Senior Director, AI.

                                                    +

                                                    +

                                                    What will you do?

                                                    +

                                                    +
                                                      +
                                                    • Mentoring a team of Deep analytics and automation Engineers to help deliver on our five-year strategic goals
                                                    • +
                                                    • Act as an advisory figure for our division, present strategic analysis and help to achieve strategic priorities
                                                    • +
                                                    • Partner with key stakeholders, develop relationships with working groups such as application and delivery teams, various infrastructure pillars, and business owners
                                                    • +
                                                    • Work with big data, cloud-based environments, and Agile methodologies
                                                    • +
                                                    • Collaborate, influence and work cross-functionally with teams in IT, Operations, Application Delivery, and Business Owners
                                                    • +
                                                    • Experience with incident management, CI/CD, and ITIL
                                                    -

                                                    -

                                                    -

                                                    About CN

                                                    CN is aworld-class transportation leader and trade-enabler. Essential to the economy,to the customers, and to the communities it serves, CN safely transports morethan 300 million tons of natural resources, manufactured products, and finishedgoods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributing tocommunity prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. At CN,we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.


                                                    -

                                                    -

                                                    -

                                                    -

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    -
                                                    -
                                                    -
                                                    Apply Now -
                                                    -
                                                    -Share -
                                                    -
                                                    - Save Job -
                                                    -
                                                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5699?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2021-02-25T15:42:33.385Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/51894517-senior-python-developer-at-cn,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5699?c=cn360&lang=en-US,expired,2021-02-22T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -ad308677-b522-40ce-a049-ed89a4706df2,51898824,Layer 6,Machine Learning Engineer – Full Stack ☑️,on_site,"Toronto, ON, Canada",2021-02-22T15:31:15.771Z,"

                                                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                    -

                                                    We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                    -

                                                    As Full Stack Engineer at Layer 6, you will learn about different machine learning algorithms and ways to analyze them. Using that knowledge, you will build intuitive interfaces to visualize data and answer questions about machine learning models. You will work with backend engineers to design web APIs. You will also work with the engineering team to solve challenges of developing high performance, robust and scalable systems.

                                                    -

                                                    Must-Have

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    +

                                                    Must have:

                                                      -
                                                    • You have experience in designing and building a large single-page web application
                                                    • -
                                                    • Mastery of at least one front end application framework. (e.g. Elm, React/Redux)
                                                    • -
                                                    • Experience with JavaScript-based data visualization libraries like D3.js
                                                    • -
                                                    • You value good software design and sweat over details in user experience and also in code
                                                    • -
                                                    • You enjoy learning new technology and also educating others
                                                    • -
                                                    • You strive to communicate clearly and with empathy
                                                    • -
                                                    • You take great personal pride in building robust, scalable software
                                                    • -
                                                    • You are highly accountable and have a strong sense of ownership
                                                    • -
                                                    • Ability to do detailed code reviews and give thoughtful feedback
                                                    • +
                                                    • Bachelor or Master’s degree, or Ph.D. in Computer Science, Mathematics, or similar Quantitative Discipline, or equivalent experience
                                                    • +
                                                    • Extensive experience with Model Validation or Development
                                                    • +
                                                    • Advanced understanding of languages and tools such as R, Python, SAS, SQL, C++ Matlab, Elastic and Splunk
                                                    • +
                                                    • Experience with Building and Deploying Machine Learning Algorithms. Proven experience of delivering on large scale initiatives.
                                                    • +
                                                    • 10+ years of experience in an analytical or strategic role with experience managing an analytical team.
                                                    • +
                                                    • Experience working with one or many cloud native solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW. Knowledge of enterprise search engines such as ElasticSearch or Solr.
                                                    -

                                                    -

                                                    Nice to have

                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    +

                                                    We are motivated to be our best to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • Experience with Elm for building front-end applications
                                                    • -
                                                    • Experience with functional programming
                                                    • -
                                                    • Experience with data analysis and visualization
                                                    • -
                                                    • Knowledge of machine learning algorithms
                                                    • -
                                                    • Comfortable with math (linear algebra, calculus)
                                                    • -
                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-03-24T15:31:17.017Z,False,0,0,62,https://talenthub.vectorinstitute.ai/jobs/51898824-machine-learning-engineer-full-stack-at-layer-6,,expired,2021-02-22T15:31:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, -ddb90cb7-0a6a-4b39-b676-5c4bbfddbb06,52158747,RBC,"Financial Analyst, Summer 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-02-24T21:37:11.219Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    Are you interested in the opportunity to work as a Financial Analyst? By applying to this job posting, you will be considered for over 80 roles available across RBC Finance including Technology & Operations, Capital Markets, Wealth Management, Personal and Commercial Banking, Internal Audit and Corporate Functions!

                                                    +
                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                  • +
                                                  • Leaders who support your development through coaching and managing opportunities
                                                  • +
                                                  • Ability to make a difference and lasting impact
                                                  • +
                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                  • +
                                                  • A world-class training program in financial services
                                                  • +
                                                  • Flexible work/life balance options
                                                  • +
                                                  • Opportunities to take on progressively greater accountabilities
                                                  • +
                                                  • Opportunities to building close relationships with clients
                                                  • +
                                                  • Access to a variety of job opportunities across business and geographies
                                                  • +

                                                    -

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14th, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    +

                                                    Learn more about RBC Tech Jobs

                                                    -

                                                    What will you do?

                                                    +

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. It’s easy! Join our Talent Community and get the inside scoop on the jobs, career paths, and recruitment events that matter to you.

                                                    +

                                                    +

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    +

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front Street West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel(%): 0-25

                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Job Posting End Date: 11/30/2020
                                                    Req ID: 289296

                                                    +

                                                    Posting Notes:

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2021-01-03T20:09:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/42478882-director-ai-engineering-at-rbc,https://jobs.rbc.com/ca/en/job/289296/Director-AI-Engineering,expired,2020-11-27T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,Re-Posting an Expired Job, +ea3a0335-7e08-40d9-8fca-f5a3d94b8748,42478942,RBC,Quantitative Analyst,on_site,"Toronto, Ontario, Canada",2020-11-27T06:22:00.490Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    A Quantitative Analyst in the Central Funding/Securitized Products Analytics Group will focus on developing and implementing new, and maintaining and/or enhancing the existing securitized product and other fixed-income product models.

                                                    +

                                                    +

                                                    This role will initially focus on retooling the existing models against the backdrop of the IBOR transition, and gradually broaden to cover other analytics needs. One of the main contributions of the role will be ensuring that the firm’s securitized/fixed-income product risk reporting and capital usage computation framework is suitable for the current or future market conditions and regulations.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • Financial modelling forecasting and analysis
                                                    • -
                                                    • Work with various visualization programs
                                                    • -
                                                    • Interpret data using careful business-grounded logic and analytics techniques to test controls, find exceptions, and discover insights and trends.
                                                    • -
                                                    • Participate in research, analyses and accounting assessments
                                                    • -
                                                    • Be responsible to develop and run financial models
                                                    • -
                                                    • Identify opportunities to improve and streamline current processes
                                                    • -
                                                    • Provide strong financial governance, including assisting with monthly reporting cycle and related account reconciliations and standards of documentation
                                                    • +
                                                    • Apply quantitative skills to design, implement, test, and roll out the securitized and fixed-income product models in the current analytical environment
                                                    • +
                                                    • Build the benchmark or challenger models where deemed necessary
                                                    • +
                                                    • Support the CFG business by assisting the traders, risk managers, and product controllers in understanding the models and interpreting the model outputs
                                                    • +
                                                    • Support the preparation of model documentation and validation submissions, as well as tracking the model performance, per the internal policies and regulatory guidelines
                                                    • +
                                                    • Review and comply with firm policies applicable to CFG business activities
                                                    • +
                                                    • Escalate operational risk loss events, control deficiencies and risks that you identify to your line manager and the relevant risk and control functions on a timely basis.

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have

                                                      -
                                                    • Currently enrolled in a Canadian post-secondary institution with a focus in finance, accounting, business, commerce, mathematics, statistics, acturial sciences or a related discipline
                                                    • -
                                                    • Currently enrolled in a post-secondary school and eligible to complete a work term
                                                    • -
                                                    • Experience or understanding of financial analysis, financial modelling, financial forecasting and financial reporting
                                                    • -
                                                    • Knowledge in data analytics and data visualization tools
                                                    • -
                                                    • Leadership acumen and a passion to apply it in a dynamic business environment
                                                    • -
                                                    • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                    • -
                                                    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                    • -
                                                    • Able to work effectively and reliably under pressure
                                                    • -
                                                    • Excellent MS Office skills – Word, Outlook, Excel and PowerPoint
                                                    • +
                                                    • Post-grad degree in one of quantitative areas such as mathematics, physics, computer sciences, or engineering. Ph.D is preferred
                                                    • +
                                                    • Solid knowledge of financial instruments and derivatives, such as bonds, IR swaps, futures, and options, as well as related pricing and risk management models. Hand-on experience on interest rate models is preferable
                                                    • +
                                                    • Proficient in one programming language such as Python (preferable), C#, or C++. VBA is a good to have
                                                    • +
                                                    • Good communication skills in both verbal and writing
                                                    • +
                                                    • Excellent analytical skills and a faster and self-motivated learner.

                                                    -

                                                    Nice-to-have

                                                    +

                                                    Nice-to-have

                                                      -
                                                    • Previous experience working in a financial environment
                                                    • -
                                                    • Previous experience in a case competition or hackathon
                                                    • -
                                                    • VBA, SQL, Tableau, Power BI, Python
                                                    • +
                                                    • Broad knowledge of financial markets and regulations is good to have
                                                    • +
                                                    • Experience in SQL programming and Unix/shell scripting is a plus.

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                    • -
                                                    • Leaders who support your development through coaching and learning opportunities
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive and highly performing team
                                                    • +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • +
                                                    • Opportunities to do challenging work
                                                    • +
                                                    • Flexible work/life balance options

                                                    -

                                                    HO2021

                                                    -

                                                    QAA2021

                                                    -

                                                    TAD2021

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 200 Bay St.
                                                    Work Hours/Week: 37.5+
                                                    Work Environment: Trading Floor
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Position Level: CM – Associate
                                                    Required Travel(%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 10/02/2020
                                                    Req ID: 263859

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: Virtually, at home
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Your Home Office
                                                    Employment Type: [[filter7]]
                                                    Career Level: Student Job
                                                    Application Deadline: 03/14/2021
                                                    Platform: CFO Group

                                                    Req ID: 298211
                                                    Ad Code(s):

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/298211/Financial-Analyst-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:12:00.000Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/52158747-financial-analyst-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/298211/Financial-Analyst-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -29df8034-53f6-4c38-9f2c-ce4bdbe8090a,52414659,Vector Institute (Internal Opportunities Only),Paid TA Opportunity Vector Entity Resolution project,full,"Toronto, ON, Canada",2021-02-26T21:39:49.659Z,"

                                                    Vector has an upcoming TA opportunity available to work on a project directly with Vector sponsors.

                                                    -

                                                    Overview

                                                    -

                                                    The Vector Institute has a unique opportunity to partner with our Industry sponsors on an Entity Resolution Project. This project aims to exploring the use of machine learning to replicate or surpass human ability in decisioning potential match results (alerts) from payment sanction filtering solutions. This project will result in the creation of multiple models to be trained and tested with multiple sponsors’ data. Industry sponsor experience will be leveraged to explore a novel strategy for training a shared model with data from all participants while simultaneously avoiding data sharing.

                                                    -

                                                    Position Available: 1 TA

                                                    -

                                                    Payment: Up to $13,000 ($50/hour x 260 hours)

                                                    -

                                                    Duration: March-September 2021

                                                    -

                                                    Responsibilities

                                                    -

                                                    Assist sponsors with: (a) environment alignment & construction; (b) model building, training, ensemble & tuning.

                                                    -

                                                    Working sessions: Hands-on working hours to assist with project participants weekly or bi-weekly.

                                                    -

                                                    Support publication of results

                                                    -

                                                    DEADLINE FOR RESUMES March 9, 2021

                                                    -",erikg@vectorinstitute.ai,,erikg@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-03-28T21:39:00.000Z,False,5,0,55,https://talenthub.vectorinstitute.ai/jobs/52414659-paid-ta-opportunity-vector-entity-resolution-project-at-vector-institute-internal-opportunities-only,,expired,2021-02-01T21:39:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Education,Entry Level,Bachelors Degree,New Posting, -780b66f3-c42e-4f89-8323-a86b8dd4ed71,52746865,KPMG,"Data Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-03-01T14:43:47.738Z,"

                                                    Job Description

                                                    -

                                                    Overview

                                                    -

                                                    Why KPMG Digital?

                                                    -

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    -

                                                    -

                                                    KPMG Digital Toronto has an exciting opportunity for a Data Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                    -
                                                      -
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • -
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • -
                                                    • Have a permanent “figure it out” mindset
                                                    • -
                                                    -

                                                    -

                                                    Video: Digital Opportunities

                                                    -


                                                    What you will do

                                                    -
                                                      -
                                                    • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                    • -
                                                    • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                    • -
                                                    • Review data quality and definitions and perform data cleansing and data management tasks.
                                                    • -
                                                    • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                    • -
                                                    • Architect the data platform for scalability, repeatability and performance.
                                                    • -
                                                    • Architect data pipelines to support streaming data, batch data, etc.
                                                    • -
                                                    • Develop standards for data processes and automate routine tasks.
                                                    • -
                                                    • Run queries for descriptive analytics and provide formatted result sets.
                                                    • -
                                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                    • -
                                                    • Support application testing and production implementation as required.
                                                    • -
                                                    • Bridge the gap between technical platform needs and business issues.
                                                    • -
                                                    • Enable overall solution and full-scope architecture design and build.
                                                    • -
                                                    • Design software architecture following best practices after understanding customer enterprise environment requirements.
                                                    • -
                                                    -


                                                    What you bring to the role

                                                    -
                                                      -
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • -
                                                    • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                    • -
                                                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                    • -
                                                    • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                    • -
                                                    • Experience in mainstream cloud services: AWS, MS Azure, GCP and IBM Cloud Pak
                                                    • -
                                                    -

                                                    -

                                                    -

                                                    Keys to your success:

                                                    -
                                                      -
                                                    • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                                    • -
                                                    • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations Share knowledge learned through various forums and stay current to industry trends.
                                                    • -
                                                    -

                                                    All applications are due Tuesday, January 19th, 2021 at 11:59 pm

                                                    -


                                                    Our Values, The KPMG Way

                                                    -

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    -

                                                    -

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    -

                                                    -

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    -

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6877?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-31T14:43:49.135Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/52746865-data-engineer-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-03-01T14:43:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, -e16fb54a-b543-418c-b1b3-4c55c1903405,52747261,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2021-03-01T15:30:08.460Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    TD Auto Finance is a division within TD Bank that offers Prime and Non-Prime financing solutions for automotive and recreational products across a wide Dealer network in Canada. Our vision‎ is To Be the Better Automotive Lender and our mission is to be the Most Customer-Centric, Innovative Auto Lender Where Passionate People Deliver Legendary experiences to our customers.
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    Reporting to the Manager – Analytics & Insights – the Senior Business Insights Analyst will engage with all levels of the TD Auto Finance team and utilize their analytical skills to provide value added information to business stakeholders.

                                                    -

                                                    · Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view. Build visual aids (i.e. charts, tables, trend analysis, etc.) to relay findings to a wide span of audiences.

                                                    -

                                                    · Manage, update and maintain financial models and profitability reports for consumption of product partners. Liaison with a variety of teams (TBSM, Capital, Risk, Finance) to understand changes to financial variables and its impact to the models output.

                                                    -

                                                    · Build self-serve reporting using Tableau, effectively visualizing the right data, to the right group of people.

                                                    -

                                                    · Ensure integrity of data used for reporting, reconciling data sources and developing quality checks.

                                                    -

                                                    · Continuously acquire and enhance knowledge of auto lending business, market insights and advanced analytical tools to best provide business solutions to product partner

                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -

                                                    · Bachelor’s degree in Business Administration, Mathematics, Computer Science or Economics strongly preferred.

                                                    -

                                                    · Post Graduate degree or professional designation (MBA, CFA) would be an asset but not required.

                                                    -

                                                    · 4+ years of analytical experience required.

                                                    -

                                                    · 3+ year experience with SQL, in specific generating variety of complex queries, familiarity with BI tools such as tableau, Python, R will be an asset.

                                                    -

                                                    · Ability to accurately, thoroughly and efficiently analyze high volumes of data from a variety of sources, synthesize and summarize numerous data points, and formulate data into complete and simple formats.

                                                    -

                                                    · Automotive financing experience considered an asset.

                                                    -

                                                    · Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank and with multiple stakeholders, vendors, and other financial service providers.

                                                    -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12351526/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-08T15:59:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/52747261-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12351526/sr-business-insights-analyst-toronto-ca/,expired,2021-03-01T15:30:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -95cfd4bb-c303-4be7-801a-9d58fe594ea9,52747628,Canvass Analytics Inc.,Test Automation Developer,on_site,"Toronto, ON, Canada",2021-03-01T15:34:45.661Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    -

                                                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                                    -

                                                    -

                                                    Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                                    -

                                                    -

                                                    We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                    -

                                                    Things you should know about our product & teams

                                                    -

                                                    -
                                                      -
                                                    • We use a microservices architecture built predominantly with Python
                                                    • -
                                                    • Our single-page web application is built with React
                                                    • -
                                                    • We use Kubernetes to manage our cloud deployments in Azure
                                                    • -
                                                    • We’ve built data pipelines with Kafka and use Kubeflow to orchestrate our machine learning pipeline
                                                    • -
                                                    • We use CircleCI to continuously integrate, test and deploy code changes
                                                    • -
                                                    -

                                                    -

                                                    What we’re looking for:

                                                    -

                                                    -

                                                    We’re looking for candidates with:

                                                    -
                                                      -
                                                    • Passionate about creating automated tests to ensure that an application works both before, during and post-deployment
                                                    • -
                                                    • Interested in applying their test automation knowledge to a platform offering multiple test challenges: IoT data ingestion, data pipelines, machine learning pipelines and of course an SPA front end
                                                    • -
                                                    • Familiar with the testing tools we already use (pytest, jest, cypress) and ready to add new ones into the mix
                                                    • -
                                                    • Solid Python and Javascript programming skills
                                                    • -
                                                    • An understanding of RESTful APIs and microservice architecture
                                                    • -
                                                    -

                                                    -

                                                    ​Who you are:

                                                    -

                                                    -

                                                    In general, we’re looking for developers that exemplify these qualities:

                                                    -
                                                      -
                                                    • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                                    • -
                                                    • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                                    • -
                                                    • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                                    • -
                                                    • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                                                    • -
                                                    -

                                                    -

                                                    Your Benefits

                                                    Some of the benefits you can expect as part of our team include:

                                                    -
                                                      -
                                                    • Awesome team and culture (every day)
                                                    • -
                                                    • Generous time off, including vacation and personal days to help rejuvenate
                                                    • -
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • -
                                                    • Flexible office policy, with options to work remotely
                                                    • -
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • -
                                                    • Company-provided MacBooks and standing desks
                                                    • -
                                                    • Top technology and tools to excel at your role
                                                    • -
                                                    • Free team lunches
                                                    • -
                                                    -

                                                    -

                                                    Why Join Canvass?

                                                    -

                                                    -

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    -

                                                    -

                                                    What's it like working at Canvass?

                                                    -

                                                    -

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    -

                                                    -

                                                    Apply Now

                                                    -

                                                    -

                                                    Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                                    -

                                                    -

                                                    You can also follow us on Twitter or LinkedIn to learn more about us.

                                                    -

                                                    -

                                                    Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    -

                                                    Apply for this position

                                                    -

                                                    Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                                    ",,https://www.canvass.io/test-automation-dev-job,aimasters@vectorinstitute.ai,,,,2021-03-31T15:34:46.988Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/52747628-test-automation-developer-at-canvass-analytics-inc,,expired,2021-03-01T15:34:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -a78f9268-aa4b-4863-93a9-39b6f37bafed,52747759,RBC,"Data Scientist, Summer 2021 Student Opportunities (8 Months Only)",on_site,"Toronto, ON, Canada",2021-03-01T15:36:24.167Z,"

                                                    What is the opportunity?
                                                    Who wouldn't want to be a part of a fantastic team of Data Scientists? At RBC, our Data Science teams offer the opportunity to leverage RBC’s data assets to develop innovative solutions in support of RBCs big data strategy. This position is an essential part to the bank as you develop next-generation applications to meet our customers’ needs. By joining the RBC team as a Data Scientist, you will have the opportunity to analyze, design and implement data solutions to assist all business customers.

                                                    -

                                                    -

                                                    Please only apply if you are available for 8 months.

                                                    -


                                                    What will you do?

                                                    -
                                                      -
                                                    • Utilize the latest technologies available, designing and building data solutions to meet business needs
                                                    • -
                                                    • Be an active contributor to not only your individual team, but to the RBC development community
                                                    • -
                                                    • Constantly seek out better ways to do things, new tools, new technologies, new processes
                                                    • -
                                                    • Work on transformational projects delivering new value
                                                    • -
                                                    • Work as part of an agile team responsible for end-to-end delivery of business needs
                                                    • -
                                                    • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
                                                    • -
                                                    • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
                                                    • -
                                                    • Promote analytics across the enterprise to enable RBC to become a data-driven organization
                                                    • -
                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/263859/Quantitative-Analyst,sample3@jobboard.io,https://jobs.rbc.com/ca/en/,,,2020-12-03T06:26:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/42478942-quantitative-analyst-at-rbc,https://jobs.rbc.com/ca/en/job/263859/Quantitative-Analyst,expired,2020-11-27T06:22:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,Re-Posting an Expired Job, +6c73c5ed-bed9-4d98-b340-8d460b54b9b8,42713112,BenchSci,Senior Software Engineer - Data Pipeline,on_site,"Toronto, ON, Canada",2020-11-30T17:50:52.538Z,"

                                                    BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.

                                                    We are currently seeking a Senior Software Engineer to join our Data Pipeline Team. Reporting into the Data Engineering Manager, you will work on evolving our data models in several styles of datastores, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines.

                                                    -

                                                    What do you need to succeed?

                                                    Must-have:

                                                    -
                                                      -
                                                    • Programming skills in one or more of the following languages: Python or R
                                                    • -
                                                    • Experience utilizing SQL scripts/querying
                                                    • -
                                                    • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
                                                    • -
                                                    • Ability to data extract, transform, and load processes with a variety of data types
                                                    • -
                                                    • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                      -
                                                    • -
                                                    -

                                                    Nice to have:

                                                    -
                                                    • Experience with big data technologies, primarily in machine learning and statistics function
                                                    -
                                                      -
                                                    • Exposure to Apache Spark, Hadoop and Public Cloud technologies, data serialization (JSON, Avro, Parquet, ORC)
                                                    • -
                                                    • Experience with big data processing tools like Spark and Hive, GitHub functionality and workflow experience/exposure
                                                    • -
                                                    • Experience with messaging (Kafka, Solace, RabbitMQ) & working on Agile projects
                                                    • -
                                                    +

                                                    You Will:

                                                    +
                                                        +
                                                      • Scale data pipelines to allow data to go from research to platform as fast as possible
                                                      • +
                                                      • Develop data access mechanisms for downstream applications consumption
                                                      • +
                                                      • Manage sources which contain both semi-structured as well as unstructured data
                                                      • +
                                                      • Develop and apply suitable frameworks to detect data drift, and then calibrate and redeploy them to production seamlessly
                                                      • +
                                                      • Collaborate closely with other engineers to solve interesting and challenging data problems
                                                      • +
                                                    +

                                                    You Have:

                                                    +
                                                        +
                                                      • 5+ years' experience working as a professional developer
                                                      • +
                                                      • Expertise in Python
                                                      • +
                                                      • Expertise with SQL
                                                      • +
                                                      • Expertise in Spark 2.x, Dataset/DataFrame API and performance tuning
                                                      • +
                                                      • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                      • +
                                                      • Experience with Pandas
                                                      • +
                                                    +

                                                    Nice to haves, but not mandatory qualifications:

                                                    +
                                                        +
                                                      • Background in Life Science
                                                      • +
                                                      • Experience with Airflow or other workflow management systems in a distributed setup
                                                      • +
                                                      • Experience with graph data modelling and scaling graph databases
                                                      • +
                                                      • Experience with Kubernetes in production
                                                      • +
                                                      • Experience with technical design and applying architectural patterns
                                                      • +
                                                    +

                                                    Our benefits and perks:

                                                    +
                                                        +
                                                      • A compensation package that includes equity options in the company
                                                      • +
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • +
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                      • +
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • +
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • +
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • +
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • +
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • +
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • +
                                                      • A great benefits package: Including health and dental
                                                      • +
                                                    +



                                                    Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                    ",,https://jobs.lever.co/benchsci/8715b2bf-e393-47f6-a24b-f5c682624977,aimasters@vectorinstitute.ai,,,,2020-12-30T17:55:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/42713112-senior-software-engineer-data-pipeline-at-benchsci,,expired,2020-11-30T17:50:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +00284dfe-342d-4b24-a375-2b30ddf3005f,42713250,Deloitte,"SAP - Data & AI Specialist, Omnia AI",on_site,"Toronto, ON, Canada",2020-11-30T18:46:32.458Z,"

                                                    Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    Partner with clients to solve their most complex problems.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +

                                                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter? If that is you, then Omnia AI is where you want to be.

                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    -

                                                    What’s in it for you?
                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. Visit people.rbc.com

                                                    +

                                                    +

                                                    +

                                                    As an SAP – Data and AI Specialist on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, you are driven to learn about leading edge solutions and keep up with rapid market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern SAP data-driven applications including building data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and AI services. You are enthusiastic about leveraging data for AI solutions, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development as well as marketing related areas and ecosystems. You are excited and ready to help building intelligent enterprise using AI, data-driven SAP applications

                                                    +

                                                    Specifically, in this role, you will:

                                                      -
                                                    • Continued career advancement opportunities
                                                    • -
                                                    • Exposure to strong mentorship and leadership examples
                                                    • -
                                                    • A world-class training program in financial services
                                                    • -
                                                    • Opportunities to be a valuable member of a close-knit, collaborative team that encourages networking
                                                    • -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • -
                                                    • Competitive compensation
                                                    • +
                                                    • Work closely with cross functional data and analytics teams, enabling data & AI solutions driving successful business outcomes
                                                    • +
                                                    • Actively contribute in the development of AI strategy engagements, helping our clients define how to successfully manage their data and deploy AI capabilities
                                                    • +
                                                    • Provide subject matter expertise and technical leadership for data migration, conversion and load initiatives as part of transformational programs
                                                    • +
                                                    • Lead and support development of data models for AI and Analytics initiatives
                                                    • +
                                                    • Provide leadership and expertise designing, configuring and deploying SAP transformation programs, focused in leading practices around Business Intelligence, Data and Analytics capabilities leveraging industry leading data tools
                                                    • +
                                                    • Lead and support SAP & AI pursuits and practice development initiatives
                                                    • +
                                                    • Understand requirements, data sets, key success criteria, and issues which can be solved using analytics and/or data science techniques and provide accurate estimates

                                                    -

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    -

                                                    -

                                                    While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                    -

                                                    -

                                                    TAD2021

                                                    -

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Virtual
                                                    Address: Virtual
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: [[filter7]]
                                                    Career Level: Student Job
                                                    Application Deadline: 03/14/2021
                                                    Platform: Technology and Operations

                                                    Req ID: 295741
                                                    Ad Code(s):

                                                    ",,https://jobs.rbc.com/ca/en/job/295741/Data-Scientist-Summer-2021-Student-Opportunities-8-Months-Only,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:36:00.000Z,False,0,24,102,https://talenthub.vectorinstitute.ai/jobs/52747759-data-scientist-summer-2021-student-opportunities-8-months-only-at-rbc,,expired,2021-03-01T15:36:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, -74cbc5c5-8825-47a5-8304-c2c7da2d6032,52748344,Thomson Reuters,Senior Full Stack Engineer,on_site,"Toronto, ON, Canada",2021-03-01T15:39:39.181Z,"

                                                    Job Description

                                                    +

                                                    About the team

                                                    +

                                                    -

                                                    Thomson Reuters Tax & Accounting Technology Team is seeking a Senior Full Stack Engineer to join our Confirmation Product Development team. You will have the opportunity to help enhance, redesign and maintain our wildly successful software solutions! The Confirmation digital product platform is a global network trusted by audit firms, banks, law firms, and credit managers to quickly and securely verify financial data. Confirmation was invented nearly 20 years ago, reshaping the audit confirmation process. Today, our Confirmation solutions help 1.5 million users across 170 countries confirm more than $1 trillion in financial data every year.

                                                    +

                                                    +

                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    -

                                                    About the role

                                                    -

                                                    As a Senior Full Stack Engineer, you will:

                                                    +

                                                    +

                                                    +

                                                    You are someone with:

                                                      -
                                                    • Designing, coding and debugging software applications in C#, Angular, JavaScript, JQuery, Typescript, CSS, HTML, SQL and PostgreSQL
                                                    • -
                                                    • Being able to develop code using Test Driven Development process
                                                    • -
                                                    • Developing new features and maintaining the existing application
                                                    • -
                                                    • Testing, quality assurance and maintaining standards compliance
                                                    • -
                                                    • Support, maintain and document software functionality
                                                    • -
                                                    • Provide technical support to the management as well the clients
                                                    • -
                                                    • Work closely with other teams and developers
                                                    • +
                                                    • 5+ years’ experience with SAP Data structures (SAP ECC and/or S/4 Data Models) and tools (BW, BOBJ, HANA, BW4/HANA, Data Services) and/or other tools specifically used for data migration/integration
                                                    • +
                                                    • Experience developing data models, ETLs, views, conversion routines from multiple source systems into SAP S/4 data structures OR exporting SAP Data into Enterprise Data Warehouses/Data Lakes
                                                    • +
                                                    • Experience with SAP Data Migration, Conversion and Load processes and tools.
                                                    • +
                                                    • Functional and Technical proficiency with at least 3+ years hands-on full life-cycle complex/large scale data warehouse and ETL design and development experience, including architecting, implementing and successfully operationalizing large scale SAP data solutions in production environments using SAP BW/4HANA, Native HANA, S/4HANA or BOBJ
                                                    • +
                                                    • SAP certification(s) in Data, Analytics & Reporting components (BW, BW/4HANA, SAC, HANA, BOBJ) is a strong asset
                                                    • +
                                                    • Relevant experience with AI/ML models, automation, predictive or advanced analytics solutions are highly desirable, regardless if they were or not developed within SAP projects/technologies
                                                    • +
                                                    • Any experience with SAP AI/Automation/RPA capabilities will be extremely valuable
                                                    • +
                                                    • Canadian travel required, occasional international travel. Candidates must be able to enter the USA to work on client assignments
                                                    -

                                                    -

                                                    About you

                                                    -

                                                    You’re are fit for the role of a Senior Full Stack Engineer, if you have:

                                                    +


                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                      -
                                                    • 5+ years of working knowledge in software development life cycle environment
                                                    • -
                                                    • Experience in a Scrum development environment
                                                    • -
                                                    • Bachelor’s degree in computer science or other technical degree
                                                    • -
                                                    • Deep understanding of modern software development such as micro services, domain-driven design patterns, SOLID patterns, C# patterns, database patterns such repository and unit of work
                                                    • -
                                                    • Proficiency building Web User Interface (UI) using one of the following web technologies: HTML/HTML5, DHTML, XHTML, CSS, Bootstrap, JavaScrpt, Typescript, jQuery, Angular JS and experience with ReactJS
                                                    • -
                                                    • Expertise in developing professional web applications, windows services, and web services in MS Visual Studio using C#.Net, ASP.Net and SQL Server
                                                    • -
                                                    • Knowledge of three tier applications and object-oriented design
                                                    • -
                                                    • Experience working with software, hardware, data and testing standards
                                                    • -
                                                    • Experience writing web applications using the .Net Framework
                                                    • +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    -

                                                    -

                                                    What’s in it For You ​

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth: ​

                                                    -

                                                    ​Learning & Development:

                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-12-31T22:16:41.883Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/42713250-sap-data-ai-specialist-omnia-ai-at-deloitte,,expired,2020-11-30T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +1e8364e5-15f8-472a-9fb1-bcadac08a92a,42713283,EY,"Senior, Decision Modelling & Analytics",on_site,"Toronto, ON, Canada",2020-11-30T19:06:19.955Z,"

                                                    Competitive business today is all about making intelligent, informed decisions. As a Decision Modelling Senior, you’ll help make that happen. You'll be an important part of our diversely talented, highly experienced team and work at the forefront of high-profile transactions. Our team of approximately 190 people sits at the heart of a global Valuation, Modelling & Economics network of over 1,550 specialists who deliver high quality advice through each phase of the transaction process.

                                                    +

                                                    The Opportunity Underpinning everything is our focus on developing a talented team through investment in technical and commercial training and knowledge transfer. Within the team you will have the opportunity to take on client management responsibilities and have the potential to gain excellent career progression. As part of your role you will work on a varied portfolio of business decision modelling and transaction decision-related projects, which would include model builds to assist clients with developing business planning, forecasting and other models to meet their ongoing business needs. You will also work on model review services which are predominantly transaction decision-focused, typically project finance or buy side for potential investors as well as getting involved with the wider team on project work. We operate as a national team and many of our engagements involve multi-national clients.
                                                    Your Key Responsibilities

                                                    +

                                                    As a member of the Decision, Modelling & Analytics team you're likely to spend your days designing, building and testing integrated financial models for transaction decision related-projects or even forecasting purposes for our clients. You’ll need a strong knowledge of Excel and how it can be applied to corporate finance and be flexible and adaptable when it comes to different projects. Reviewing financial models is key too (under supervision) and you’ll arrive at preliminary conclusions to ensure we provide the best service for our clients. Knowledge of our analytical tools and techniques would also be of benefit in the role, such as data visualization software.

                                                    +

                                                    Skills And Attributes For Success

                                                      -
                                                    • Exposure to a wide breadth of leading-edge technology  ​
                                                    • -
                                                    • Career growth: ability to work on multiple projects and/or with various teams  ​
                                                    • -
                                                    • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.  ​
                                                    • -
                                                    • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone  ​
                                                    • +
                                                    • Strong Excel Skills - designing and building models as well as testing them; incorporating operational, tax, accounting and financing aspects across a range of sectors; developing a strong understanding of Excel and how it can be applied to corporate finance
                                                    • +
                                                    • Programming skills – Excel is not the only tools we use to build models; you’ll also have the opportunity to leverage other tools such as: Access; Alteryx; Microsoft Azure; Power BI; Python; SQL Server; Tableau; VBA
                                                    • +
                                                    • Stakeholder Management - every day you’ll interface with multiple stakeholders across different functions to identify underlying business drivers and appreciate the context of the transaction and the client's business issues
                                                    • +
                                                    • Logical thinking - you’ll apply logical thinking and creative problem-solving skills to support resolution of issues
                                                    • +
                                                    • Attention to Detail - you’ll review financial models under supervision and arrive at preliminary conclusions
                                                    • +
                                                    • Communication - communicating effectively with the engagement manager, the client, and the wider team in a concerted effort towards delivering work products of the highest standard
                                                    • +
                                                    • Support - assisting senior team members in developing new business
                                                    -

                                                    Benefits/Perks:    ​

                                                    +

                                                    To qualify for the role you must have

                                                      -
                                                    • Health benefits  ​
                                                    • -
                                                    • Savings/investment plans  ​
                                                    • -
                                                    • Paid time off   ​
                                                    • +
                                                    • Proven experience in Decision Modelling, with a number of years of commercial, client-facing work experience.
                                                    • +
                                                    • Strong commercial awareness and an ability to identify the factors that drive financial performance
                                                    • +
                                                    • A passion for Decision Modelling; bring highly motivated, numerate and a logical thinker are all key to the role
                                                    • +
                                                    • Availability to travel for client projects when necessary
                                                    -

                                                    Flexibility:  We've been named as one of Forbes, Best Companies for Work/Life Balance  ​

                                                    -

                                                    Global Opportunities:  We have employees in over 90 countries, working across 3 different industries  ​

                                                    -

                                                    Your well-being:   We offer programs that focus on making our lives healthier 

                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -



                                                    Locations
                                                    Toronto-Ontario-Canada

                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/492728/Senior-Full-Stack-Engineer/?SourceID-APPLICANT_SOURCE-3-713,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-03-31T15:39:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/52748344-senior-full-stack-engineer-at-thomson-reuters,,expired,2021-03-01T15:39:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -f6269ed6-1442-4b5d-82d5-c5f4a81479c0,52772464,integrate.ai,Platform Engineering Intern,on_site,"Toronto, ON, Canada",2021-03-01T18:51:19.132Z,"

                                                    This is an entry-level, internship position. It is only available to current students of a high school or undergrad program. It does not have to be an engineering program. For full time positions, visit https://integrate.ai/jobs

                                                    -

                                                    At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics; and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                                    -

                                                    -

                                                    Job Responsibilities:

                                                    +


                                                    Ideally, you’ll also have

                                                      -
                                                    • Build highly scalable web services and machine learning tooling
                                                    • -
                                                    • Audit data holdings for Personally Identifiable Information and automate data pipelines
                                                    • -
                                                    • Work with the Product department to generate ideas, gather requirements and follow through with implementation
                                                    • +
                                                    • Strong interpersonal skills and previous experience working within a similar team
                                                    • +
                                                    • Financial modelling experience
                                                    • +
                                                    • Experience with any of the following software packages: MS Access; SQL Server; Microsoft Azure; Data Visualization applications (e.g. Tableau, MS Power BI); Statistical packages (e.g. MATLAB, SPSS); VBA; C#, R or Python
                                                    • +
                                                    • CFA or CPA certification or significant progress towards these or similar certifications.
                                                    -

                                                    -

                                                    Required Skills:

                                                    -

                                                    You are a problem solver with a ""get the job done"" attitude. You are able to work fast without losing sight of the impact you are having building a generational organization.

                                                    +

                                                    What We Are Looking For

                                                    +

                                                    We are looking for candidates who are highly motivated, analytical, logical thinkers with a passion for decision modelling and analytics, with very strong attention to detail. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our clients’ goals. Also, being highly motivated and self-aware is essential for being able to work autonomously when required.

                                                    +

                                                    What Working at EY Offers

                                                    +

                                                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                    +

                                                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being.

                                                    +

                                                    Plus, we offer:

                                                      -
                                                    • Fluency with Python or another current programming language
                                                    • -
                                                    • Experience with relational databases (we use Postgres)
                                                    • -
                                                    • Knowledge of data structures and algorithms
                                                    • +
                                                    • Support, coaching and feedback from some of the most engaging colleagues around
                                                    • +
                                                    • Opportunities to develop new skills and progress your career
                                                    • +
                                                    • The freedom and flexibility to handle your role in a way that’s right for you
                                                    -

                                                    -

                                                    Integrate.ai is committed to the safety of our employees and remote work may be required, depending on the situation with COVID-19. A company laptop will be provided.

                                                    -

                                                    At Integrate, we work hard to live our company values every day. These values are also the foundation of our culture. You will get a chance to meet people from across the organization during the hiring process which includes technical and values based interviews.

                                                    ",,https://boards.greenhouse.io/integrateai/jobs/4546597002,aimasters@vectorinstitute.ai,https://integrate.ai/careers,,,2021-03-31T18:51:20.655Z,False,0,20,101,https://talenthub.vectorinstitute.ai/jobs/52772464-platform-engineering-intern-at-integrate-ai,,expired,2021-03-01T18:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, -2d05e549-3bfe-47fa-a496-5a32500dae5f,52774339,CIBC,"Consultant, Big Data Development",on_site,"Toronto, ON, Canada",2021-03-01T19:19:09.290Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    About EY

                                                    +

                                                    As a global leader in assurance, tax, strategy, transactions and consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                                    +

                                                    If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                    +

                                                    Join us in building a better working world. Apply now.

                                                    +

                                                    EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                                    ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/senior-decision-modelling-analytics-149756,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-01-03T20:16:17.819Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/42713283-senior-decision-modelling-analytics-at-ey,,expired,2020-11-30T19:06:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +b94d60b0-7dbb-4c89-b995-ef1c7127d01f,42713297,CIBC,Automation Integration Engineer,on_site,"Toronto, ON, Canada",2020-11-30T19:29:10.297Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    @@ -20051,43 +18906,38 @@ f6269ed6-1442-4b5d-82d5-c5f4a81479c0,52772464,integrate.ai,Platform Engineering

                                                    What You’ll Be Doing

                                                    -

                                                    In this role, you will join the CIBC’s Enterprise Data Hub team and you’ll design, build, implement and maintain solutions that support and enhance of the enterprise Data Lake capabilities. You will support data initiatives both on Hadoop Cloudera Distribution as well as Microsoft Azure. As Consultant/ Application Developer, you will support the design and development of various initiatives across the Big Data Portfolio.

                                                    +

                                                    As a member of CIBC’s Automation Integration team, you’ll play a crucial role in increasing our capability in DevOps for our Infrastructure products. You will be joining a team of individuals that are passionate about innovation and solving business problems by using automation. You will collaborate with product owners to understand product specific priorities and execute on plans. You will develop and drive continuous integration to achieve delivery strategies and work with the Automation Platform team in support of DevOps automation framework and environments. You will provide technical leadership, standards and best practices to Technology teams during design, build, configuration, testing, implementation and maintenance phases of initiatives/projects involving automation and level 3 support to troubleshoot malfunctions of hardware, software applications, and security systems to resolve operational issues and restore services

                                                    How You’ll Succeed

                                                    • -Develop & Design - Lead the design and development of specifications, develop and build code, perform code reviews. Test, debug, document, and manage changes to ensure the successful implementation and maintenance of programs.
                                                    • +Leadership & Communication – Collaborate with senior leaders across the company and make informed recommendations to enhance automation related solutions. Weigh business needs against technology offerings, security concerns and provide recommendations to improve automation, which are practical and achievable
                                                    • -Analyzing Business Requirements - Research and analyze business requests and recommend solutions.
                                                    • +Governance – Proactively contribute to governance initiatives in the development of company policies, audit requirements etc. Provide technical or business guidance to clients within and outside your own department.
                                                    • -Coordination - Participate in production and user acceptance testing support to troubleshoot complex problems on applications and technologies. Effectively interact with stakeholders, end users, business analysts, and technical resources to gather requirements and prepare design specifications as instructed by senior team members. Coordinate change ticket implementations.
                                                    • +Engineering – Lead evaluation, selection, design and implementation of new and emerging products and techniques; support the development of business/technology proposals by estimating implementation costs and evaluating options; provide comprehensive senior level technical consulting to other IT senior management and senior technical teams; provide subject matter expertise on specific existing technologies. Manage the ongoing vitality of the technology throughout its lifecycle. +
                                                    • +Automation - Create test automation frameworks with continuous integration and continuous deployment to production. Engage resources within CIBC or CIBC partners to understand manual tasks to translate and break down into smaller work packages to be addressed during SCRUM sprints.

                                                    Who You Are

                                                    -
                                                    • -You can demonstrate experience :

                                                      -
                                                        -
                                                      • At least 4-6 years of hands-on development expertise with Core Java or Scala as well as Python and SQL.
                                                      • -
                                                      • You also have technical experience with Maven, Jenkins, Github, JFrog and Bash.
                                                      • -
                                                      • You have at least 2 years working experience with Big Data technologies such as Hadoop, Hive, HBase, Oozie, HiveQL, Hive UDFs, Sqoop, Spark, Impala.
                                                      • -
                                                      -
                                                    -

                                                    It’s an asset if you have previous experience building scalable Data frameworks in Azure Cloud technologies as Azure Data Factory, DataBricks, Nifi, Azure Data Lake Storage, Azure Blob, Azure Devops, Azure Monitor, Azure Synapse, Azure Data Catalogue/Purview, CosmosDB.

                                                    • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • +You can demonstrate experience in: design, implementation and support of technologies and technology-based solutions dealing in automation. You have a clear understanding of application/product lifecycle. You have the knowledge and understanding of marketplace experience, developments and trends as the relate to automation. You are skilling with the following scripting languages and utilities: Ansible, Chef, Puppet, PowerShell, Python, PERL, and BASH. You experience using GitHub, Artifactory, and Jenkins. You are well versed in DevOps best practices. You are experienced in building and configuring infrastructure, databases or middleware products such as VMware, Windows, Linux, Oracle, SQL or JBoss. It is an asset if you have experience with Playbook conversion to Ansible, ServiceNow integration to Ansible, or are familiar with cloud technologies such as Kubernetes, Docker and OpenShift.
                                                    • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
                                                    • +You have strong knowledge of: IT Standards, Policies and Procedures and have the ability to use and administer the organization's technology practices, standards and procedures appropriately to diverse situations
                                                    • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • +You act like an owner. You thrive when you're empowered to take the lead, go above and beyond, and deliver results
                                                    • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision. You are passionate about client service - You want the work you do each day to result in a positive client experience.
                                                    • -
                                                    -
                                                      +You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • -You have a degree/diploma in Computer Science.
                                                    • +You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what's possible
                                                    • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability
                                                    • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way +
                                                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • +
                                                    • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                    What CIBC Offers

                                                    @@ -20095,109 +18945,55 @@ f6269ed6-1442-4b5d-82d5-c5f4a81479c0,52772464,integrate.ai,Platform Engineering

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning.
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                    +

                                                    What You Need to Know

                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • -
                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Big-Data-Development_2100507-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-05T19:19:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/52774339-consultant-big-data-development-at-cibc,,expired,2021-03-01T19:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -89a1c593-c17e-4dbb-ae8b-5c7ba172d887,53246140,RBC,"Manager, CRM Analytics",on_site,"Toronto, Ontario, Canada",2021-03-04T21:43:14.756Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    RBC is hiring an exciting Manager, CRM Analytics role. In this role, you will work closely with members of the CRM Analytics team and collaborate with partners including teams from Leads Management, Lines of Business and Marketing to focus on Client Strategy analytics developing solutions that deliver value-added and insightful information to assist in driving profitability and providing value to our clients.

                                                    -

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Conduct insightful and actionable analytics enabling success of Client Treatment Plans, Triggers and Renewal programs across all lines of business to strengthen client relationship and improve on current client-centric strategies
                                                    • -
                                                    • Collaborate with Leads Management and Product teams to augment existing and develop new, effective client engagement strategies optimizing spends
                                                    • -
                                                    • Monitor performance of client strategies to ensure the tactics perform as expected identifying opportunities and potential issues and recommending solutions to enhance the strategies
                                                    • -
                                                    • Provide analytical support to Client Interaction Strategy and Client Voice initiatives
                                                    • -
                                                    • Explore and identify various data sources to ascertain value and suitability of new data sources
                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have:

                                                    +",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Automation-Integration-Engineer_2014278,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2020-12-07T17:16:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/42713297-automation-integration-engineer-at-cibc,,expired,2020-11-30T19:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +483f4e47-775a-4f7a-90a8-525c9c515cb5,42713334,BMO Financial Group,Digital Analytics Implementation Specialist,on_site,"Toronto, ON, Canada",2020-11-30T19:48:32.460Z,"

                                                    The Digital Analytics Implementation Specialist will implement measurement capabilities across BMO’s digital properties to drive deep insights of performance and customer behaviours. Provides advice on the configuration, functionality, applicability, and usability for technology solutions relating to data management, analytics, and visualization

                                                      -
                                                    • Proficient technical knowledge with very large relational databases and with tools such as SQL and SAS
                                                    • -
                                                    • Sound business acumen and strong analytical, communication and presentation skills
                                                    • -
                                                    • Strong problem solving skill and ability to conceptualize strategy
                                                    • -
                                                    • Demonstrated ability to work well collaboratively in a cross function environment as well as independently with initiative taking ownership
                                                    • +
                                                    • Implement, maintain and recommends analytics solutions for digital marketing analytics, reporting and analysis.
                                                    • +
                                                    • Defines business requirements for analytics and reporting to ensure data insights inform business decision making.
                                                    • +
                                                    • Work closely with development teams to ensure that requirements and data layer has all the elements properly exposed in order to execute analytics tags.
                                                    • +
                                                    • Maintains up-to-date analytics implementation documentation for the data layer, analytics tracking. tags, advertising vendor tags, and automated tag audit libraries.
                                                    • +
                                                    • Ensures data alignment across multiple reporting suites (eVars, props, events).
                                                    • +
                                                    • Actively participates in the design, implementation, and management of new analytics and reporting solutions and provides advice and guidance to assigned business / group on implementation of solutions ensuring alignment of business needs and data requirements between stakeholders.
                                                    • +
                                                    • Develop relationships with key partners across the enterprise and acts as the subject matter expert for internal/external stakeholders.to refine, prioritize, and optimize the digital analytics implementation roadmap.
                                                    • +
                                                    • Develops and manages implementation projects and their properties in tag managers; designs initiatives to improve processes, analysis and reporting (e.g., data layer, JavaScript libraries, etc).
                                                    • +
                                                    • Automates validation tests to improve quality and efficiency of the existing internal validation processes.
                                                    • +
                                                    • Builds effective relationships with internal / external stakeholders.
                                                    • +
                                                    • Maintains tagging libraries that support detailed digital optimization.
                                                    • +
                                                    • Documents and maintains analytical and reporting operational procedures and processes.
                                                    -

                                                    -

                                                    Nice-to-have:

                                                    +

                                                    +

                                                    Qualifications:

                                                      -
                                                    • Master’s degree in quantitative discipline
                                                    • -
                                                    • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management
                                                    • -
                                                    • Experience with Hadoop and Google Analytics
                                                    • -
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    -
                                                      -
                                                    • An opportunity to influence the strategic direction of the enterprise
                                                    • -
                                                    • An opportunity to work closely with RBC’s senior leaders
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive and high performing culture
                                                    • -
                                                    • Excellent career development and progression opportunities
                                                    • -
                                                    • A comprehensive Total Rewards Program including bonuses, eligibility for stock and flexible benefits
                                                    • -
                                                    -

                                                    -

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 88 Queens Quay West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 03/12/2021
                                                    Platform: Personal & Commercial Banking
                                                    Req ID: 328576
                                                    Ad Code(s):

                                                    -

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/328576/Manager-CRM-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:11:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/53246140-manager-crm-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/328576/Manager-CRM-Analytics,expired,2021-03-04T21:43:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f27cedda-6dce-49f4-bbd1-740b32e2af15,53595533,BMO Financial Group,"Manager, Data Analytics Developer",on_site,"Toronto, ON, Canada",2021-03-08T15:01:27.967Z,"

                                                    As a Developer, you would be supporting the Audit function with analytics and automation of recurring analytics. Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                    -
                                                      -
                                                    • Acts as a trusted advisor to assigned business/group (Audit).
                                                    • -
                                                    • Leads the design, development, and implementation of analytic solutions.
                                                    • -
                                                    • Identifies emerging issues and trends to inform decision-making.
                                                    • -
                                                    • Recommends and implements solutions based on analysis of issues and implications for the business
                                                    • -
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • -
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • -
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • -
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • -
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • -
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • -
                                                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                                                    • -
                                                    • Automates validation tests to improve quality and efficiency of the validation process.
                                                    • -
                                                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                                                    • -
                                                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                    • -
                                                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                                                    • -
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • -
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • -
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • -
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • -
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • -
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • -
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • -
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • -
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • -
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • -
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • -
                                                    • Provides specialized consulting, analytical and technical support.
                                                    • -
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • -
                                                    • Works independently and regularly handles non-routine situations.
                                                    • -
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      -
                                                    • -
                                                    -

                                                    Qualifications:

                                                    -
                                                      -
                                                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science / Engineering or related field of study or an equivalent combination of education and experience.
                                                    • -
                                                    • Knowledge and experience in writing code, data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
                                                    • -
                                                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                    • -
                                                    • Verbal & written communication skills - In-depth.
                                                    • -
                                                    • Collaboration & team skills - In-depth.
                                                    • -
                                                    • Analytical and problem solving skills - In-depth.
                                                    • -
                                                    • Influence skills - In-depth.
                                                    • -
                                                    • Data driven decision making - In-depth.
                                                    • +
                                                    • 3+ years’ experience in digital analytics implementations through utilization of tag management tools using Adobe and Google analytics.
                                                    • +
                                                    • Post-graduate degree in business, engineering, computer science or related discipline.
                                                    • +
                                                    • Expert knowledge with core JavaScript, HTML, CSS and modern framework (AngularJS, React, etc.).
                                                    • +
                                                    • Experience with data preparation and data analysis.
                                                    • +
                                                    • Solid knowledge of testing tools “ObservePoint “and “Charles Web Debugging Proxy”.
                                                    • +
                                                    • Experience with Adobe Target and Adobe Audience Manager.
                                                    • +
                                                    • Strong knowledge of Adobe Mobile Services, Adobe Mobile SDK Tools.
                                                    • +
                                                    • Experience with digital measurement tools across multiple channels (e.g. web, social media, mobile, email, search).
                                                    • +
                                                    • Experience with SQL Queries and Adobe Experience Cloud APIs.
                                                    • +
                                                    • Experience using JIRA, Teams, Confluence.
                                                    • +
                                                    • Excellent verbal & written communication skills.
                                                    • +
                                                    • Excellent Analytical and problem-solving skills.
                                                    • +
                                                    • Collaboration & team skills; with a focus on cross-group collaboration.
                                                    • +
                                                    • Exceptional organizational and time management skills and a demonstrated ability to prioritize work in a demanding environment.
                                                    • +
                                                    • Excellent data driven decision making.

                                                    @@ -20207,756 +19003,1392 @@ f27cedda-6dce-49f4-bbd1-740b32e2af15,53595533,BMO Financial Group,"Manager, Data

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    -

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Data-Analytics-Developer_R210001233,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-07T15:01:29.428Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/53595533-manager-data-analytics-developer-at-bmo-financial-group,,expired,2021-03-08T15:01:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,Re-Posting an Expired Job, -283ebdd7-e084-4941-866f-ecf293156399,53611651,CIBC,Sr. Data Modeler,on_site,"Toronto, ON, Canada",2021-03-08T18:47:01.997Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    -

                                                    Job Description

                                                    +

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    -

                                                    What You’ll Be Doing

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Analytics-Implementation-Specialist_R200014327,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-12-31T22:21:00.000Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/42713334-digital-analytics-implementation-specialist-at-bmo-financial-group,,expired,2020-11-30T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d9713ead-c447-40a8-b219-2c4a9ba54144,42714805,BenchSci,Staff Engineer - Data,on_site,"Toronto, Ontario /",2020-12-01T06:31:03.466Z,"
                                                    +
                                                    BenchSci's vision is to bring medicine to patients 50% faster by 2025. We're doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top 20 pharmaceutical companies and over 4,300 leading research centers worldwide. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                    +

                                                    +
                                                    We are looking for a Staff Engineer to join our growing Engineering Team. In this role, you will work closely with key technical partners across the organization to ensure that BenchSci’s technical infrastructure and codebase will be able to support long-term growth. Reporting to the VP of Engineering, you will provide technical leadership across several functional areas within the team, lead complex projects, participate in roadmap and project planning, and actively contribute to BenchSci's data engineering and architecture initiatives. The Staff Engineer will help foster the growth and development of other individual contributors, while also playing a key role in helping us scale as we continue to make a long-term impact on scientific discovery.
                                                    +
                                                    +

                                                    You Will:

                                                    +
                                                        +
                                                      • Work with multiple teams working on key customer features and our own significant internal development projects
                                                      • +
                                                      • Contribute to setting technical and architectural direction for our Data Engineering teams with a focus on expanding the scope of our products and our ability to make life-scientists more effective
                                                      • +
                                                      • Guide the architecture of BenchSci in order to help us handle data more securely and accurately
                                                      • +
                                                      • Decouple work done by teams to more readily allow for more independent work and smaller feature releases
                                                      • +
                                                      • Be involved in all aspects of software development, working to create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology (this can range from setting high-level technical direction down to implementation)
                                                      • +
                                                      • Be an inspiring mentor and coach to other engineers
                                                      • +
                                                      • Act as a champion and advocate for the company and its engineering teams through various channels
                                                      • +
                                                    +
                                                    +

                                                    You Have:

                                                    +
                                                        +
                                                      • A minimum of 8 years of professional development experience, with 2 years at a Staff level
                                                      • +
                                                      • Expertise in data management practices, including approaches to capturing provenance, versioning, and disaster recovery
                                                      • +
                                                      • Experience working with secure data, including compliance with regulations like HIPAA and GDPR
                                                      • +
                                                      • Expertise with data processing engines such as Apache Beam
                                                      • +
                                                      • Experience working with SaaS products in a fast-paced Agile environment
                                                      • +
                                                      • The ability to drive the engineering team towards the decisions they make while minimizing friction
                                                      • +
                                                      • The ability to translate business concerns into technical implementations
                                                      • +
                                                      • Experience with coaching and mentoring technical teams
                                                      • +
                                                      • Experience with big data
                                                      • +
                                                      • Experience communicating trade-offs in approaches to security, speed to ship, and performance
                                                      • +
                                                      • Domain expertise in either machine learning, distributed systems, data engineering, or cloud infrastructure
                                                      • +
                                                      • Experience providing feedback to other individual contributors while showing a sense of empathy, tact, thoughtfulness, and respect
                                                      • +
                                                    +
                                                    +

                                                    Nice to haves, but not mandatory qualifications:

                                                    +
                                                      • Successful delivery of at least one major project in a domain space that is relevant to BenchSci. Relevant domain areas may include, but are not limited to: machine learning, information retrieval, or distributed systems
                                                    +
                                                    +

                                                    Our benefits and perks:

                                                    +
                                                        +
                                                      • A compensation package that includes equity options in the company
                                                      • +
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • +
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from a trained clinical psychologist
                                                      • +
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • +
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • +
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • +
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • +
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • +
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • +
                                                      • A great benefits package: Including health and dental
                                                      • +
                                                    +
                                                    +
                                                    Here at BenchSci, these are our core values:
                                                    +
                                                    +Focused: We focus on what will drive the greatest impact at all times.
                                                    +
                                                    +Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                                    +
                                                    +Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                                    +
                                                    +Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                                    +
                                                    +Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                                    +

                                                    +
                                                    Diversity, Equity and Inclusion:
                                                    +
                                                    BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                                    +

                                                    +
                                                    Accessibility Accommodations:
                                                    +
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    +
                                                    ",,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-01-03T20:24:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/42714805-staff-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/fc4eca9c-76be-4d83-95dc-dfc2285bbed4,expired,2020-12-04T06:31:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +85fe4301-3b61-45cf-a546-ffbb10b6d52b,42714935,Deloitte,"Senior Consultant, Data Governance (Collibra), Omnia AI Toronto",on_site,"Toronto, Ontario, Canada",2020-12-01T06:32:27.006Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto; Vancouver

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                    +
                                                    +
                                                    +
                                                    +What will your typical day look like?

                                                    +
                                                    +

                                                    As a Data Governance (Collibra) Senior Consultant, you will play an active role throughout the entire engagement cycle, specializing in the management and governance of data solutions including data governance, data quality, data classification, data lineage and data cataloguing. Specifically, you will:

                                                    +
                                                    • Build data governance operating models and implement data governance solutions based on industry-standard governance frameworks
                                                    • Work with cross-functional stakeholders including executives, IT representatives, business leaders and the analytics/AI user community to understand data challenges and identify solutions for remediation
                                                    • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +About the team

                                                    +
                                                    +

                                                    Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    As a member of our Data & Analytics Modernization team within our Omnia AI practice, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +Enough about us, let’s talk about you

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • 3+ years implementation experience with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, governance/quality metrics development & reporting, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management
                                                    • 3+ years implementation experience with data governance technologies such as Collibra, Informatica AXON, Alation and/or IBM IGC
                                                    • Experience writing complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements, ideally using Agile development methods in data-oriented projects
                                                    • Experience in a data stewardship role supporting business areas with activities that include critical data element identification, data quality rule definition, metadata management, business definition development, data lineage identification, implementation of data security, encryption, PII/PSI/PHI, GDPR and/or PIPEDA legislation, identity and access management across sources and environments, communication to end-users,
                                                    • Solid understanding of data architecture, data warehousing, data lake and cloud architectures including its implications on governance policies and procedures and access management, combined with a Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired.
                                                    • +
                                                    +

                                                    If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                    +

                                                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Data-Governance-%28Collibra%29%2C-Omnia-AI-Toronto-ON-M5C-3G7/689243200/,feed-importer@jobboard.io,,,,2021-01-20T15:34:24.304Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/42714935-senior-consultant-data-governance-collibra-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Data-Governance-%28Collibra%29%2C-Omnia-AI-Toronto-ON-M5C-3G7/689243200/,expired,2020-12-01T06:32:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +cc7ad988-a23b-41c0-ba03-0262f6613b73,42715123,Deloitte,"Consultant, SAS Solutions Implementation, Omnia AI Ottawa",on_site,"Ottawa, Ontario, Canada",2020-12-01T06:41:43.658Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Ottawa, Ontario, Canada
                                                    All Available Locations: Montreal; Ottawa; Toronto

                                                    +

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                    Be encouraged to deepen your technical skills…whatever those may be.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Be part of a firm where you are valued for your unique strengths and where everyone feels a sense of belonging.

                                                    +
                                                    +
                                                    +
                                                    +What will your typical day look like?

                                                    +

                                                    Everyday you will work with our clients to solve their toughest problems in data management, regulatory risk, and technology integration you will do so by leveraging leading technology to accomplish large-scale implementations. You will facilitate design sessions with business stakeholders to define key data definitions, consolidate findings, and work with technology teams to develop appropriate target state operating models. Since we know you are a great self-starter, you will also contribute business development and pipeline required for optimal solutions of risk and regulatory programs.

                                                    +
                                                    +
                                                    +
                                                    +About the team

                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence practice, is a team of specialized experts and cutting-edge information assets that facilitate successful artificial intelligence (AI) transformations. At Deloitte Omnia, we provide end-to-end AI solutions that solve complex business challenges and help our clients capture optimal value from AI. We see new opportunities in emerging technologies that others don’t. And because we are Deloitte, we are trusted advisors who work to understand organizations’ objectives from all angles. With over 450 practitioners in Canada, and supported by Deloitte’s vast global network, we are leaders in capitalizing on the full breadth and depth of AI.

                                                    +
                                                    +
                                                    +
                                                    +Enough about us, let’s talk about you

                                                    +
                                                    +

                                                    You are someone who has:

                                                    +
                                                    • Experience with IFRS9/CECL or IFRS17 implementation engagements.
                                                    • At least 2 projects (minimum of 3 month each) hands-on experience with SAS Technology (demonstrated via hands on project experience)
                                                    • Can describe in detail how you leveraged at least 3 out of these 2 components: Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS VIYA
                                                    • 1+ years of hands-on experience with data management concepts
                                                    • 3+ years of relevant technology consulting or industry experience in data & analytics delivery
                                                    • 2+ years designing and developing with SAS technology, data management, data visualization, data analytics and Artificial
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,feed-importer@jobboard.io,,,,2021-01-27T15:07:10.043Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/42715123-consultant-sas-solutions-implementation-omnia-ai-ottawa-at-deloitte,https://careers.deloitte.ca/job/Ottawa-Consultant%2C-SAS-Solutions-Implementation%2C-Omnia-AI-Ottawa-ON-K1P-5T8/662360800/,expired,2020-12-01T06:41:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,Re-Posting an Expired Job, +07a13b16-3c88-4797-8d8c-90a8d85c0e7c,42715136,Deloitte,"SAP - Data & AI Specialist, Omnia AI",on_site,"Toronto, Ontario, Canada",2020-12-01T06:42:04.334Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    Partner with clients to solve their most complex problems.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter? If that is you, then Omnia AI is where you want to be.

                                                    +
                                                    +
                                                    +
                                                    +What will your typical day look like?

                                                    +
                                                    +

                                                    As an SAP – Data and AI Specialist on our Data & Analytics Modernization team within the Omnia AI practice, you are passionate about data and technology solutions, you are driven to learn about leading edge solutions and keep up with rapid market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern SAP data-driven applications including building data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and AI services. You are enthusiastic about leveraging data for AI solutions, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development as well as marketing related areas and ecosystems. You are excited and ready to help building intelligent enterprise using AI, data-driven SAP applications

                                                    +

                                                    Specifically, in this role, you will:

                                                    +
                                                    • Work closely with cross functional data and analytics teams, enabling data & AI solutions driving successful business outcomes
                                                    • Actively contribute in the development of AI strategy engagements, helping our clients define how to successfully manage their data and deploy AI capabilities
                                                    • Provide subject matter expertise and technical leadership for data migration, conversion and load initiatives as part of transformational programs
                                                    • Lead and support development of data models for AI and Analytics initiatives
                                                    • Provide leadership and expertise designing, configuring and deploying SAP transformation programs, focused in leading practices around Business Intelligence, Data and Analytics capabilities leveraging industry leading data tools
                                                    • Lead and support SAP & AI pursuits and practice development initiatives
                                                    • Understand requirements, data sets, key success criteria, and issues which can be solved using analytics and/or data science techniques and provide accurate estimates
                                                    • +
                                                    +

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +About the team

                                                    +
                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +Enough about us, let’s talk about you

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • 5+ years’ experience with SAP Data structures (SAP ECC and/or S/4 Data Models) and tools (BW, BOBJ, HANA, BW4/HANA, Data Services) and/or other tools specifically used for data migration/integration
                                                    • Experience developing data models, ETLs, views, conversion routines from multiple source systems into SAP S/4 data structures OR exporting SAP Data into Enterprise Data Warehouses/Data Lakes
                                                    • Experience with SAP Data Migration, Conversion and Load processes and tools.
                                                    • Functional and Technical proficiency with at least 3+ years hands-on full life-cycle complex/large scale data warehouse and ETL design and development experience, including architecting, implementing and successfully operationalizing large scale SAP data solutions in production environments using SAP BW/4HANA, Native HANA, S/4HANA or BOBJ
                                                    • SAP certification(s) in Data, Analytics & Reporting components (BW, BW/4HANA, SAC, HANA, BOBJ) is a strong asset
                                                    • Relevant experience with AI/ML models, automation, predictive or advanced analytics solutions are highly desirable, regardless if they were or not developed within SAP projects/technologies
                                                    • Any experience with SAP AI/Automation/RPA capabilities will be extremely valuable
                                                    • Canadian travel required, occasional international travel. Candidates must be able to enter the USA to work on client assignments
                                                    • +
                                                    +


                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,feed-importer@jobboard.io,,,,2021-02-03T14:38:38.101Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/42715136-sap-data-ai-specialist-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-SAP-Data-&-AI-Specialist%2C-Omnia-AI-ON-M5C-3G7/693202500/,expired,2020-12-01T06:42:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +cc081ba7-142e-4763-be50-3f8029d6bcbe,42973570,Accenture,Principal Data Scientist,on_site,"Ontario - Ottawa,Ontario - Toronto",2020-12-03T06:21:43.039Z,"

                                                    Job Description

                                                    +
                                                    +

                                                    Job Description – Principal Data Scientist

                                                    -

                                                    Remote Banking & Shared Services provides modern software driven banking experiences for CIBC's personal and small business banking clients by putting our clients at the center of all that we do .You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale projects.

                                                    -

                                                    As a Sr. Data Modeler you will translate business needs into Logical data models supporting long-term solutions and work with the Application Development team to implement data strategies, build data flows and develop conceptual data models. You will create logical data model using best practices to ensure high data quality and reduced redundancy and optimize and update logical data models to support new and existing projects as well as maintain conceptual, logical and physical data models along with corresponding metadata.

                                                    +

                                                    Location: Montreal, Ottawa & Toronto

                                                    -

                                                    How You’ll Succeed

                                                    -
                                                      -
                                                    • -Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
                                                    • -
                                                    • -Recommend opportunities for reuse of data models in new environment and perform reverse engineering of physical data models from databases and SQL scripts.
                                                    • -
                                                    • -Analyze data-related system integration challenges and propose appropriate solutions and develop data models according to company standards.
                                                    • -
                                                    • -Relationship Building- Strong relationship with all technology partners required with professional high quality team building for the assigned portfolio. You will liase and interact with Architects, Solution design, Development and QA as part of the daily management of the portfolio.
                                                    • +

                                                      Job Description Overview

                                                      +

                                                      We Are:

                                                      +

                                                      Thepeople who love using data to tell a story. We’re also the world’s largest teamof data scientists, data engineers, and experts in machine learning and AI. Agreat day for us? Solving big problems using the latest tech, serious brainpower, and deep knowledge of just about every industry. We believe a mix ofdata, analytics, automation, and responsible AI can do almost anything—sparkdigital metamorphoses, widen the range of what humans can do, and breathe lifeinto smart products and services. Want to join our crew of sharp analyticalminds? Visit us here to find out more about AppliedIntelligence.

                                                      +

                                                      You Are:

                                                      +

                                                      Anexpert at solving real-world challenges with data, analytics, AI/ML andcreativity. Yes, creativity! You know the theory and you have hands-onexpertise from studies, experience and/or self-taught projects. And you’re thespark, enabling your team to help clients scale data into value.

                                                      +

                                                      WhatYou’ll Do:

                                                      +
                                                      • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients

                                                        +
                                                      • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
                                                      • +
                                                      • Stayabreast of AI/ML technologies, academic researches & hands-on techniques
                                                      • +
                                                      • Lead small teams to develop innovative solutions for clientsacross functions & industries
                                                      -

                                                      -

                                                      Who You Are

                                                      +
                                                      +
                                                    +

                                                    +
                                                    READ MORE OF THE JOB DESCRIPTION

                                                    +
                                                    +

                                                    Qualifications

                                                    +

                                                    +

                                                    What We’reLooking For:

                                                    +

                                                      -
                                                    • -You can demonstrate 5+ years of experience as a Data Modeler who is proficient in LDM, PM, SQL, Oracle. You have a solid experience in evaluating data models and physical databases for variances and discrepancies and validate business data objects for accuracy and completeness.
                                                    • -
                                                    • -You give meaning to data. You enjoy investigating complex problems, and making sense of information.
                                                    • -
                                                    • -You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                    • -
                                                    • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
                                                    • -
                                                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                    • +
                                                    • At least 5years embracing challenges with data science lifecycle in enterprise setting
                                                    • +
                                                    • At least 3years developing & implementing AI/ML models, including professionalexperience with recommender engine, natural language processing, optimization& operational research, computer vision and deep & classical machine learning
                                                    • +
                                                    • At least 3 years working with data science tools: e.g. Python, Plotly, Flask& Git
                                                    • +
                                                    • At least 3years designing & operating tools & services in cloud environments:e.g. GCP, Azure, AWS & Databricks
                                                    • +
                                                    • At least 3years orchestrating and maintaining AI/ML models in a production environmentusing MLOps/DevOps/DataOps tools: e.g. Docker, Kubernetes, MLFlow, Jenkins& CircleCI
                                                    • +
                                                    • At least 5years storytelling with data and communicating findings to a non-technicalaudience
                                                    • +
                                                    • At least 2years managing a data science team and providing technical leadership

                                                    -

                                                    What CIBC Offers

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    +

                                                    +

                                                    BonusPoint If:

                                                    +

                                                      -
                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • -
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +
                                                    • Graduatedegree in data science or related disciplines: e.g. Applied Mathematics, Statistics,Computer Science, Economics, Engineering and Physics
                                                    • +
                                                    • Ability to build,manage and foster a team-oriented environment, working creatively andanalytically in a problem-solving environment
                                                    • +
                                                    • A blend ofdata science capability, industry and consulting expertise
                                                    • +
                                                    • Drive to learn and master new technologies and techniques

                                                    -

                                                    What You Need to Know

                                                    -
                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • -
                                                    -

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Data-Modeler_2105225,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-15T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/53611651-sr-data-modeler-at-cibc,,expired,2021-03-08T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5a4f8bcb-659a-4772-b1e3-65c23b3e5a5a,54603818,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, ON, Canada",2021-03-15T14:01:37.537Z,"

                                                    About us

                                                    Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.

                                                    Job Description

                                                    We are seeking exceptional graduate students for an 8 to 12-month internship in 2020. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
                                                    Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:- Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions- Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility- Organize internal hackathons to quickly prototype solutions to problems

                                                    +

                                                    +

                                                    We are a global collective of innovatorsapplying the New every day to improve the way the world works and lives. Helpus show the world what’s possible as you partner with clients to unlockhidden value and deliver innovative solutions. Empowered with innovativetools, continuous learning and a global community of diverse talent andperspectives, we drive success in a new business architecture that disruptsconventional practices. Our expertise spans 40+ industries across 120+countries and impacts millions of lives every day. We turn ideas intoreality. +

                                                    To learn more about Accenture, and how you willbe challenged and inspired from Day 1, please visit our website at accenture.ca/careers

                                                    +

                                                    It is currently our objective to assign ourpeople to work near where they live. However, given the nature of our businessand our need to serve our clients our employees must be available to travelwhen needed.

                                                    -

                                                    Requirements

                                                    -
                                                        -
                                                      • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                      • -
                                                      • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                      • -
                                                      • Excellent scientific writing and presentation skills.
                                                      • -
                                                      • Programming experience in at least one of Python, C or C++
                                                      • -
                                                      • Strong organizational, interpersonal, and communication skills.
                                                      • -
                                                    -

                                                    What we offer

                                                    -
                                                        -
                                                      • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                      • -
                                                      • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                      • -
                                                      • Competitive compensation package
                                                      • -
                                                    -

                                                    Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                    Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-04-14T14:01:40.929Z,False,0,20,89,https://talenthub.vectorinstitute.ai/jobs/54603818-graduate-research-intern-machine-learning-at-deep-genomics,,expired,2021-03-15T14:01:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, -39dec61b-6a59-4e0c-a0cf-601af0f9a94f,54619721,Vector Institute,Human Resources Business Partner,on_site,"Toronto, ON, Canada",2021-03-15T18:43:53.343Z,"

                                                    POSITION OVERVIEW

                                                    +

                                                    Accenture does not discriminate on thebasis of race, religion, color, sex, age, non-disqualifying physical ormental disability, national origin, sexual orientation, gender identity orexpression, or any other basis covered by local law. Accenture iscommitted to providing employment opportunities to current or former members ofthe armed forces.

                                                    -

                                                    As the Human Resources Business Partner for the Research Operations, Academic Partnerships, Office Services, and Finance workstreams, you will provide operational and strategic support in the areas of talent management, employee relations, performance management, benefits, employee engagement, and learning and development to meet team needs. You will proactively partner with all levels of management to enhance employee experience and drive organizational health by fostering a culture of inclusion, collaboration, transparency, integrity, and respect.

                                                    +

                                                    We are committed to employment equity. Weencourage all people, including women, visible minorities, persons withdisabilities and persons of aboriginal descent to apply.

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    +

                                                    +

                                                    Accenture is a leading global professionalservices company, providing a broad range of services and solutions instrategy, consulting, digital, technology and operations. Combining unmatchedexperience and specialized skills across more than 40 industries and all businessfunctions — underpinned by the world’s largest delivery network — Accentureworks at the intersection of business and technology to help clients improvetheir performance and create sustainable value for their stakeholders. With469,000 people serving clients in more than 120 countries, Accenture drivesinnovation to improve the way the world works and lives. Visit us atwww.accenture.com.

                                                    +

                                                    +
                                                    +

                                                    Locations

                                                    Ontario - Ottawa,Ontario - Toronto
                                                    +
                                                    +
                                                    +

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    +

                                                    Equal Employment Opportunity Statement

                                                    +

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    +

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    +

                                                    Requesting An Accommodation

                                                    +

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    +

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    +

                                                    Other Employment Statements

                                                    +

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    +

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-12-24T06:22:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/42973570-principal-data-scientist-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00855726_en&title=Principal+Data+Scientist,expired,2020-12-03T06:21:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,Re-Posting an Expired Job, +1df1c712-3b76-49c6-8fa2-2ae1f25e2f0c,43498657,RBC,"Data Scientist, RBC Amplify - 2021",on_site,"Toronto, Ontario, Canada",2020-12-07T06:21:54.698Z,"
                                                    +

                                                    What is Amplify?

                                                    +

                                                    RBC Amplify is an intensive summer innovation program that helps you put your skills to the test while building a product that could disrupt our company and beyond. If you’re a bright mind with fresh ideas, top of your class, own the hackathon circuit and are passionate about innovation, we want you!

                                                    +

                                                    What is the opportunity?

                                                    +

                                                    As a Data Scientist you will collaborate, innovate, ideate and build in a flexible, start-up environment.

                                                    +

                                                    You will tackle real RBC business challenges as a member of a cross-functional team of specialists (think: business, UX/UI design, big data, and programming) by developing a product that you pitch to stakeholders at the end of the summer.

                                                    +

                                                    Over the course of the program you will have access to subject matter experts, coaches, mentors, as well as technical and professional training and resources to bring your idea to life.

                                                    +

                                                    What will you do? Discover. Research. Build. Pitch

                                                      -
                                                    • Serve as a primary point of contact for all inquiries regarding HR matters within assigned internal client workstreams;
                                                    • -
                                                    • Provide strategic and tactical advice, coaching, and counseling support on employment-related issues across all HR disciplines including the interpretation and application of legislation, corporate policies, and Vector-specific programs and processes, ensuring both consistent application and operational compliance;
                                                    • -
                                                    • Manage all aspects of talent acquisition needs within assigned work streams including supporting business case development and managing associated approval process, job description development and posting, recruitment processes including drafting of offer letters, reference and education checks, and facilitating immigration and relocation requirements (if applicable);
                                                    • -
                                                    • Provide consultation and coaching to all levels of management to build and serve high performing, diverse and inclusive teams;
                                                    • -
                                                    • Support all employees and associated processes within assigned client groups including but not limited to approved leaves, employment contracts, vacation compliance, employee relations, performance management, and corporate tracking and reporting;
                                                    • +
                                                    • Immerse yourself in a business challenge with an intense focus on collaboration to develop an innovative product.
                                                    • +
                                                    • You will be challenged to step outside your comfort zone, and bring your teamwork, communication and collaboration skills to help your team succeed.
                                                    • +
                                                    • You will be expected to design, create and deliver a fully functional prototype to RBC that solves a real business need.
                                                    • +
                                                    • You will play an integral role in engaging your critical thinking, time management and leadership skills within your team.
                                                    • +
                                                    • Design, troubleshoot and develop your product.
                                                    • +
                                                    • Work with subject matter experts, mentors, executive sponsors (technology and business) to build your solution.
                                                    • +
                                                    • Exposure to design thinking, agile development and other tools, technologies and methodologies.
                                                    • +
                                                    • Executive presentations, developing strategy and communications for your project.
                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must have

                                                      -
                                                    • Champion and/or participate in key HR projects and initiatives in support of Vector’s vision, mission, strategy and culture;
                                                    • -
                                                    • Design, develop and implement a robust, year-round professional development program for all employees inclusive of workshops, seminars, on a variety of talent development initiatives (e.g., EDI, Mentoring, Emerging Leaders);
                                                    • -
                                                    • Lead all compliance-based HR Training initiatives including Code of Conduct, Accessibility for Ontarians with Disabilities Act (AODA), and Health and Safety training sessions;
                                                    • +
                                                    • Must be currently enrolled in a post-secondary institution, graduating between August 2021 and June 2022 (College, Undergrad, Master's or PhD).
                                                    • +
                                                    • Familiarity with statistical methods.
                                                    • +
                                                    • Programming skills and knowledge of Python and R languages.
                                                    • +
                                                    • Familiarity with data cleaning, data mining, and machine learning.
                                                    • +
                                                    • Excellent interpersonal and highly developed communication skills (verbal and written).
                                                    • +
                                                    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment.
                                                    • +
                                                    • Excellent teamwork and collaboration skills.
                                                    • +
                                                    • Ability to challenge the status quo, and think outside the box to develop solutions.
                                                    +

                                                    AND one or more of the following:

                                                      -
                                                    • In partnership with managers, provide a compelling and welcoming onboarding experience for all new hires within Vector;
                                                    • -
                                                    • Sit as a member of the Vector Institute Joint Health and Safety Committee, taking a leadership role in ensuring the execution of committee initiatives;
                                                    • -
                                                    • Act as the primary manager of the Vector Careers Inbox, responding to all incoming inquires within an appropriate period of time as well as tracking incoming researcher (i.e., Research Scientist, Faculty Member, and Vector Postdoctoral Fellow) applications;
                                                    • -
                                                    • Benefits Administration:
                                                        -
                                                      • Respond to, and resolve benefits related inquiries from Vector employees;
                                                      • -
                                                      • Monitor all vacation balances in BambooHR to ensure employees are taking the appropriate time-off in alignment with Vectors vacation policy and legislative requirements;
                                                      • +
                                                      • Experience with deep-dive analytics, predictive modelling or algorithms.
                                                      • +
                                                      • Experience with machine learning, pattern intelligence, computational mathematics, bioinformatics or artificial intelligence.
                                                      • +
                                                      • Experience with natural language processing.
                                                      -
                                                    • -
                                                    • Maintain Vector’s HRIS (BambooHR), HR’s VPortal page, as well as employee paper files and associated trackers, ensuring all accounts and details are up to date and accurate, and act as the primary manager of the Vector Careers Inbox; and,
                                                    • -
                                                    • Other related duties as assigned.
                                                    • +

                                                      Nice to have

                                                      +
                                                        +
                                                      • Experience with hackathons.
                                                      • +
                                                      • Expressed interest or previous experience in the financial industry or FinTech.
                                                      • +
                                                      • Practical experience in web or mobile development.
                                                      • +
                                                      • Experience in agile or design thinking methodologies or frameworks.
                                                      -

                                                      -

                                                      KEY SUCCESS MEASURES

                                                      -

                                                      +

                                                      What’s in it for you?

                                                      +

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                        -
                                                      • Assigned internal client work streams have a trusted partner for all talent and HR matters.
                                                      • -
                                                      • Vector maintains compliance with all legislatively required training.
                                                      • -
                                                      • Vector has a calendar of professional development offerings.
                                                      • -
                                                      • New employees of Vector Hire receive a welcoming and comprehensive onboarding experience.
                                                      • -
                                                      • Data integrity is maintained for all HRIS and paper employee files.
                                                      • -
                                                      • Employee relations matters are resolved in an ethical fair manner in alignment with Vector’s policies and culture that mitigates risk for the Vector Institute.
                                                      • -
                                                      • Talent acquisition and recruitment metrics and targets are achieved.
                                                      • +
                                                      • A unique summer experience with the chance to develop a career at RBC.
                                                      • +
                                                      • Team up with students from diverse backgrounds and build lasting professional relationships.
                                                      • +
                                                      • Engage with leaders who support your development through coaching and learning opportunities.
                                                      • +
                                                      • Be a part of a dynamic, collaborative, progressive and high-performing team.
                                                      • +
                                                      • Contribute to real projects that can make a difference and have a lasting impact at RBC.
                                                      • +
                                                      • Tons of opportunity to grow specific skills for your future
                                                      • +
                                                      • An all-around fun, innovative, and comfortable work environment where casual clothing is the norm.
                                                      -

                                                      -

                                                      PROFILE OF THE IDEAL CANDIDATE

                                                      -

                                                      +

                                                      Amplify2021

                                                      +

                                                      techops

                                                      +

                                                      +

                                                      +

                                                      About RBC
                                                      Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                      +

                                                      +

                                                      Join our Talent Community

                                                      +

                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      +

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                      +

                                                      +

                                                      Inclusion and Equal Opportunity Employment
                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      +

                                                      +

                                                      +

                                                      JOB SUMMARY

                                                      +

                                                      City: Toronto
                                                      Address: Various
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: [[filter7]]
                                                      Career Level: Student Job
                                                      Pay Type: [[jobGrade]]
                                                      Required Travel (%): [[requiredTravel]]
                                                      Exempt/Non-Exempt: [[exemptionStatus]]
                                                      People Manager: [[peopleManager]]
                                                      Application Deadline: 01/03/2021
                                                      Req ID: 265208

                                                      +

                                                      Ad Code(s):

                                                      +
                                                    ",,https://jobs.rbc.com/ca/en/job/265208/Data-Scientist-RBC-Amplify-2021,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2020-12-21T06:23:00.000Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/43498657-data-scientist-rbc-amplify-2021-at-rbc,https://jobs.rbc.com/ca/en/job/265208/Data-Scientist-RBC-Amplify-2021,expired,2020-12-07T06:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +05a68f81-3224-40e8-8bf1-86ab19dc66b2,43569378,EY,Data Analytics Staff,on_site,"Toronto, ON, Canada",2020-12-07T18:26:55.609Z,"

                                                    EY is a global leader in Assurance, Tax, Transaction and Advisory Services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who build high performing teams to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

                                                    +

                                                    Our Assurance group is one of the most trusted, respected and influential organizations in the industry. As part of our team, you will provide peace of mind to clients by using your skills and experience to give companies, investors and regulators confidence in the validity of financial statements and business-critical information or processes. Groups (or, as we call them, sub-service lines) within Assurance include External Audit, Climate Change and Sustainability Services, Financial Accounting Advisory Services and Fraud Investigation & Dispute Services.

                                                    +

                                                    The Opportunity

                                                    +

                                                    As a data analytics staff, you will join tenthree|labs to work with our audit teams as they leverage data analytics to improve audit efficiency and quality. This is a unique role for you to get heavily involved in both the audit and data analytics process and make an immediate impact working closely with audit teams to help establish and build strong client relationships.

                                                    +

                                                    In the lab, you will be joined by a team of multidisciplinary professionals in versatile roles, which includes data analytics, programming, robotic process automation, data visualization, etc. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.

                                                    +

                                                    Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

                                                    +

                                                    Your key responsibilities

                                                      -
                                                    • Individual is a graduate from an HR post-grad diploma programme or holds an undergraduate degree in a related field;
                                                    • -
                                                    • Individual has 3+ years of relevant HR generalist experience in complex, intellectually challenging, and fast-paced, high-growth organizations; CHRP designation or in progress;
                                                    • -
                                                    • Individual has a demonstrated ability to manage a broad portfolio of HR responsibilities spanning a variety of HR functional areas, including Talent Acquisition, Employee Relations, Training, Compensation and Benefits Administration, HRIS & website administration in an organized manner, while maintaining a calm, professional demeanour;
                                                    • -
                                                    • Demonstrated commitment to diversity, human rights, accessibility, and equity;
                                                    • -
                                                    • Experience with managing international immigration preferred;
                                                    • -
                                                    • Individual has highly effective client and candidate relationship management skills, working with stakeholders ranging from Executives to employees and world-class faculty and students;
                                                    • -
                                                    • Individual is accurate and has highly developed and effective written and verbal communication skills; and,
                                                    • -
                                                    • Individual is passionate about finding and successfully attracting great talent to Vector and in contributing to Vector’s success in achieving its mission and strategic objectives.
                                                    • +
                                                    • Work within tenthree|labs to export, transform, validate and output large and complex data sets for use in EY’s data analytics tools
                                                    • +
                                                    • Work and build strong relationships with EY audit teams while co-developing a robust and repeatable data analytics delivery process
                                                    • +
                                                    • Proactively monitor, manage, and execute projects with engagement teams
                                                    • +
                                                    • Collaborate with the data analytics and engagement teams to design and implement improvements to the data delivery process
                                                    -

                                                    -

                                                    Please address applications (cover letter and resume) to Julie Semak, Manager, Human Resources, using the link provided. Review of applications will begin March 25, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    -

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    -

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    -

                                                    -

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=129&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-04-14T18:43:54.953Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/54619721-human-resources-business-partner-at-vector-institute,,expired,2021-03-15T18:43:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -ab3995e1-ba3b-4883-a1c2-57047fdf5a0d,54619906,Vector Institute,Data Analyst & Visualization Intern,on_site,"Toronto, ON, Canada",2021-03-15T18:44:45.557Z,"

                                                    POSITION OVERVIEW

                                                    -

                                                    -

                                                    The Data Analyst/Visualization Intern will have the opportunity to gain real-world experience in data analysis and visualization at a leading research institute. The objectives of this role are to analyze large amounts of data and assist with identifying and visualizing key metrics within the data to support our objectives around workforce development and research excellence. Reporting to the Program Manager, Student Engagement, you will play a key role in ensuring the goals of the Academic Partnership team around data analysis and benchmarking are met.

                                                    -

                                                    -

                                                    Start date: Summer 2021 (part-time)

                                                    -

                                                    -

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    -

                                                    -

                                                    As a part-time Vector intern, you will work up to 20 hours per week over the Summer (May to August) academic term with an opportunity to continue over the Fall 2021 academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your paid internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                    -

                                                    -

                                                    Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                    -

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    +

                                                    +

                                                    To qualify for this role, candidates must have a combination of

                                                      -
                                                    • Identify and develop data structures and tools for data collection and analysis relating to mapping the end-to-end AI talent pipeline in Ontario;
                                                    • -
                                                    • Using AI-employment related data, analyze key trends relating to the supply and demand for AI-talent and desired skill sets in Ontario;
                                                    • -
                                                    • Aggregate and analyze existing data to benchmark and produce trends and insights on AI talent in Ontario, such as curriculum competencies and graduate outcomes
                                                    • -
                                                    • Mine data from internal sources and organize this data for trends analysis;
                                                    • -
                                                    • Generate concise reports on high-level insights;
                                                    • -
                                                    • Generate meaningful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights;
                                                    • -
                                                    • Other duties as assigned
                                                    • +
                                                    • An undergraduate degree in business or accounting with a minor in computer science, computer science, computer engineering, data analysis, financial mathematics or another related field
                                                    • +
                                                    • A basic understanding of a company’s financial reporting process and financial terms
                                                    • +
                                                    • Strong interest in data analytics, data transformation, robotics process automation, and finance or accounting
                                                    • +
                                                    • Strong project management and organizational skills with an ability to multitask
                                                    • +
                                                    • Excellent communication skills with an ability to explain technical terms to a non-technical audience
                                                    • +
                                                    • A critical and logical thinker who is able to work both independently and in a team environment
                                                    • +
                                                    • Process driven individual with a strong attention to detail
                                                    -

                                                    -

                                                    SUCCESS MEASURES

                                                    -

                                                    +

                                                    Make your mark. Apply today.

                                                    +

                                                    Who we are

                                                    +

                                                    EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

                                                    +

                                                    EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

                                                    ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/data-analytics-staff-152047,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-01-06T22:21:09.739Z,False,0,15,68,https://talenthub.vectorinstitute.ai/jobs/43569378-data-analytics-staff-at-ey,,expired,2020-12-07T18:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +b1c03916-3e25-48da-bc2b-cfb6c4982b01,43953348,Google,"Senior Manager, Business Intelligence and Data Infrastructure, YouTube",on_site,"Toronto, ON, Canada",2020-12-10T20:49:16.977Z,"

                                                    Minimum qualifications:

                                                      -
                                                    • Data trends identified and mapped to help assess and benchmark AI talent in Ontario.
                                                    • -
                                                    • Reports generated on high-level insights.
                                                    • -
                                                    • Data visualizations/interactive dashboards created are accessible, highlight key outcomes, and integrate well with data inputs.
                                                    • +
                                                    • Master's degree in Computer Science, Mathematics or equivalent practical experience.
                                                    • +
                                                    • 12 years of experience leading consulting/strategy teams or technical/analytical teams (strategy, data engineering, business intelligence).
                                                    • +
                                                    • Experience designing and building data products for users.
                                                    • +
                                                    • Experience with product management, coding, relational database, SQL, data infrastructure.
                                                    -

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    +

                                                    Preferred qualifications:

                                                      -
                                                    • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of Vector Faculty Affiliates or an AI master’s student in one of Vector Recognized Programs
                                                    • -
                                                    • You have experience using Python, R, Excel, SQL and data visualization tools such as Google Data Studio or Tableau
                                                    • -
                                                    • You are comfortable comparing, compiling, organizing and analyzing statistical information to identify patterns, relationships and problems
                                                    • -
                                                    • You have a keen interest in the field of artificial intelligence
                                                    • -
                                                    • You have experience with designing, building, or maintaining data systems and pipelines
                                                    • -
                                                    • You understand the limits and constraints associated with data usage (e.g. privacy concerns, challenges associated with unstructured or unlabelled data)
                                                    • -
                                                    • You are organized and efficient, with strong problem-solving skills
                                                    • -
                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                    • -
                                                    • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture
                                                    • -
                                                    • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem
                                                    • -
                                                    • Your familiarity with GSuite, MS Office 365 applications and BI tools such as SAS, Power BI and Oracle BI would be an asset.
                                                    • +
                                                    • Experience in product management or consulting.
                                                    • +
                                                    • Experience with operations analytics, and/or data product development.
                                                    • +
                                                    • Experience working with Python/Pandas, R, or other analytics/data visualization languages.
                                                    • +
                                                    • Excellent business acumen and communication skills.
                                                    -

                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                    -

                                                    -

                                                    The deadline for submission is March 22, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    -

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    -

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    -

                                                    -

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=127&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-23T21:09:00.000Z,True,0,20,152,https://talenthub.vectorinstitute.ai/jobs/54619906-data-analyst-visualization-intern-at-vector-institute,,expired,2021-03-15T18:44:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -270995a7-3939-4044-91f8-aff5cf97af2a,54620262,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2021-03-15T18:46:20.462Z,"

                                                    POSITION SUMMARY

                                                    -

                                                    -

                                                    As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI. You will report to the Director, AI Engineering and work closely with a technical lead on your software development projects for day- to- day direction.

                                                    -

                                                    -

                                                    Start date: Summer 2021 (part-time)

                                                    -

                                                    -

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    -

                                                    -

                                                    As a part-time Vector intern, you will work up to 20 hours per week over the Summer (May to August) academic term with an opportunity to continue over the Fall 2021 academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your paid internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                    -

                                                    -

                                                    Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                    -

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    +

                                                    About the job

                                                    +

                                                    This is a central/global role as part of the core YouTube team looking for a Senior Manager, Business Intelligence and Data Infrastructure in San Bruno, Playa Vista, New York or Toronto.

                                                    In this role, you will manage a team of technical analysts that are focused on unlocking YouTube’s data for internal use, set team-level goals and influence organizational-level initiatives.

                                                    +

                                                    At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

                                                    +

                                                    Responsibilities

                                                      -
                                                    • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                    • -
                                                    • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • -
                                                    • Develop open source software for applying AI research techniques to common problems;
                                                    • -
                                                    • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                    • -
                                                    • Develop prototypes and proofs of concept; and,
                                                    • -
                                                    • Report and present on software development including status and results.
                                                    • +
                                                    • Manage a team of Business Intelligence and data infrastructure specialists, leading goal setting, product planning and development, and overseeing daily activities and deliverables of the team.
                                                    • +
                                                    • Collaborate with a variety of stakeholders, including leadership across the Business, Operations, Product, and Engineering organizations.
                                                    • +
                                                    • Create reporting that measures progress against quarterly goals for the partnership organization. Help build the data infrastructure to enable reporting on all support user journeys that our partners have across YouTube.
                                                    • +
                                                    • Launch a dashboard to help partner managers evaluate the health of the YouTube partners they serve. Plan and gather data on impacts of rapid decisions necessary to ensure business continuity.
                                                    • +
                                                    ",,https://careers.google.com/jobs/results/143313048233222854-senior-manager-business-intelligence-and-data-infrastructure-youtube/?location=Canada&page=2,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-01-09T21:48:29.745Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/43953348-senior-manager-business-intelligence-and-data-infrastructure-youtube-at-google,,expired,2020-12-10T20:49:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Masters Degree,New Posting, +1198a86b-0afc-4ebc-ac64-468c7504d90d,44266679,Deloitte,Omnia AI: Software Developer - New Grad 2021 (Toronto),on_site,"Toronto, Ontario, Canada",2020-12-14T15:46:51.684Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    +

                                                    +
                                                    • Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    • Be encouraged to deepen your technical skills…whatever those may be.
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +

                                                    You will work closely with product management, design and analytic teams to create various custom applications that tailor towards different clients rooted through their business needs. By working with multiple teams from both client and internal teams, you will define application requirements/user stories, design and develop front-end interfaces, backed systems leveraging multiple programming languages and frameworks. You have the responsibility to accurately define effort requirements, consistently write effective code that is stable, secure, scalable & efficient, and manage your personal workflow to ensure the deliverables are created on time and within budget. You will become a contributor by influencing the building of the team.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes. We are looking for candidates that display initiative, creativity, out-of-the-box thinking and have a keen eye for problem solving, high design sensibility, attention to detail and executing deliverables to a variety of clients.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone who is:

                                                    +

                                                    • Graduating from an undergraduate or graduate degree in computer science, computer engineering or another related program by September 2021. PLEASE NOTE: The start date for this role is September 2021
                                                    • Curious about how strategic business needs and ideas are formulated into tangible solutions
                                                    • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                                                    • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                                                    • 1+ years’ experience in building software solutions (e.g. web applications) in a corporate or start up engineering environment using JavaScript, PHP, Ruby, Python, C++ and/or Java / C#, HTML, CSS, React / Ember / Angular, etc. and working knowledge of relational and non-relational databases and SQL

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +

                                                    +

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    +

                                                    +

                                                    The next step is yours

                                                    +

                                                    +

                                                    Sound like The One Firm. For You? Apply by January 24th, 2021 at 11:59 pm EST.

                                                    +

                                                    +

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    +

                                                    +

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    +

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-24T18:31:00.000Z,False,0,25,107,https://talenthub.vectorinstitute.ai/jobs/44266679-omnia-ai-software-developer-new-grad-2021-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,expired,2020-12-14T15:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +b1c03916-3e25-48da-bc2b-cfb6c4982b01,43953348,Google,"Senior Manager, Business Intelligence and Data Infrastructure, YouTube",on_site,"Toronto, ON, Canada",2020-12-10T20:49:16.977Z,"

                                                    Minimum qualifications:

                                                    +
                                                      +
                                                    • Master's degree in Computer Science, Mathematics or equivalent practical experience.
                                                    • +
                                                    • 12 years of experience leading consulting/strategy teams or technical/analytical teams (strategy, data engineering, business intelligence).
                                                    • +
                                                    • Experience designing and building data products for users.
                                                    • +
                                                    • Experience with product management, coding, relational database, SQL, data infrastructure.
                                                    -

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    -
                                                    • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of Vector Faculty Affiliates or an AI master’s student in one of Vector Recognized Programs.
                                                    +

                                                    Preferred qualifications:

                                                      -
                                                    • Experience in machine learning and/or statistics.
                                                    • -
                                                    • Software engineering background with experience in industry.
                                                    • -
                                                    • Data engineering background working with messy real-world data.
                                                    • -
                                                    • Analytical skills to identify signal in data and feasibility of prediction.
                                                    • -
                                                    • Knowledge and experience of Python.
                                                    • -
                                                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                    • -
                                                    • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • -
                                                    • Data science experience considered an asset.
                                                    • -
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.
                                                    • +
                                                    • Experience in product management or consulting.
                                                    • +
                                                    • Experience with operations analytics, and/or data product development.
                                                    • +
                                                    • Experience working with Python/Pandas, R, or other analytics/data visualization languages.
                                                    • +
                                                    • Excellent business acumen and communication skills.
                                                    -

                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                    -

                                                    -

                                                    The deadline for submission is March 22, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    -

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    -

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    -

                                                    -

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=124&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-23T21:09:00.000Z,True,0,41,241,https://talenthub.vectorinstitute.ai/jobs/54620262-applied-machine-learning-intern-at-vector-institute,,expired,2021-03-15T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -c80cae74-ffe0-48ad-b5e5-97fd669ff2fa,54717921,KPMG,"Data Scientist, Consultant, Summer Intern/Co-op",on_site,"Toronto, ON, Canada",2021-03-16T20:26:09.805Z,"

                                                    Overview

                                                    -

                                                    -

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do. When you join KPMG, you’ll be one of over 200,000 professionals providing audit, tax, advisory and business enablement services across 154 countries. With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make.

                                                    -

                                                    -

                                                    Our clients are typically private equity funds, pension funds, large public companies, as well as private corporations. Our people are motivated self-starters with expertise in finance, valuation, tax, accounting and financial reporting. Our network is global. Let’s do this.

                                                    -

                                                    -

                                                    Why KPMG Deal Advisory?

                                                    -

                                                    Business today is under more pressure than ever to deliver better, lasting results for stakeholders. In Deal Advisory, we think like an investor, looking at how opportunities to buy, sell, partner, fund or fix a company can add and preserve value.

                                                    -

                                                    Today’s deals do not happen in a vacuum. From business strategy to acquisition strategy, plans for divestments or for raising funds, or even the need to restructure, every decision must be made considering the entire business, the sector, and the global economy.

                                                    -

                                                    Our teams of specialists combine a global mindset and local experience with deep sector knowledge and superior analytic tools to help our clients navigate a complex, fragmented process.

                                                    -

                                                    From helping to plan and implement strategic change to measurably increasing portfolio value, we focus on delivering tangible results. The kind of results that let clients clearly see what they gained from the deal at hand, and what they want to bring to the next deal down the road.

                                                    -

                                                    Deal Advisory is growing its practice in Data Analytics and Data Science. We are looking for talent with deep technical skills that have an appetite for Investments, M&A and Deal Advisory.

                                                    -

                                                    KPMG Deal Advisory Toronto has an exciting opportunity for a Data Scientist, Consultant intern to join our team Summer 2021! This role will be a rewarding experience for you if you:

                                                    +

                                                    About the job

                                                    +

                                                    This is a central/global role as part of the core YouTube team looking for a Senior Manager, Business Intelligence and Data Infrastructure in San Bruno, Playa Vista, New York or Toronto.

                                                    In this role, you will manage a team of technical analysts that are focused on unlocking YouTube’s data for internal use, set team-level goals and influence organizational-level initiatives.

                                                    +

                                                    At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

                                                    +

                                                    Responsibilities

                                                      -
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • -
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • -
                                                    • Have a permanent “figure it out” mindset
                                                    • +
                                                    • Manage a team of Business Intelligence and data infrastructure specialists, leading goal setting, product planning and development, and overseeing daily activities and deliverables of the team.
                                                    • +
                                                    • Collaborate with a variety of stakeholders, including leadership across the Business, Operations, Product, and Engineering organizations.
                                                    • +
                                                    • Create reporting that measures progress against quarterly goals for the partnership organization. Help build the data infrastructure to enable reporting on all support user journeys that our partners have across YouTube.
                                                    • +
                                                    • Launch a dashboard to help partner managers evaluate the health of the YouTube partners they serve. Plan and gather data on impacts of rapid decisions necessary to ensure business continuity.
                                                    • +
                                                    ",,https://careers.google.com/jobs/results/143313048233222854-senior-manager-business-intelligence-and-data-infrastructure-youtube/?location=Canada&page=2,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-01-09T21:48:29.745Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/43953348-senior-manager-business-intelligence-and-data-infrastructure-youtube-at-google,,expired,2020-12-10T20:49:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Masters Degree,New Posting, +1198a86b-0afc-4ebc-ac64-468c7504d90d,44266679,Deloitte,Omnia AI: Software Developer - New Grad 2021 (Toronto),on_site,"Toronto, Ontario, Canada",2020-12-14T15:46:51.684Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    +

                                                    +
                                                    • Learn from deep subject matter experts through mentoring and on the job coaching.
                                                    • Be encouraged to deepen your technical skills…whatever those may be.
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +

                                                    You will work closely with product management, design and analytic teams to create various custom applications that tailor towards different clients rooted through their business needs. By working with multiple teams from both client and internal teams, you will define application requirements/user stories, design and develop front-end interfaces, backed systems leveraging multiple programming languages and frameworks. You have the responsibility to accurately define effort requirements, consistently write effective code that is stable, secure, scalable & efficient, and manage your personal workflow to ensure the deliverables are created on time and within budget. You will become a contributor by influencing the building of the team.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes. We are looking for candidates that display initiative, creativity, out-of-the-box thinking and have a keen eye for problem solving, high design sensibility, attention to detail and executing deliverables to a variety of clients.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone who is:

                                                    +

                                                    • Graduating from an undergraduate or graduate degree in computer science, computer engineering or another related program by September 2021. PLEASE NOTE: The start date for this role is September 2021
                                                    • Curious about how strategic business needs and ideas are formulated into tangible solutions
                                                    • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                                                    • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                                                    • 1+ years’ experience in building software solutions (e.g. web applications) in a corporate or start up engineering environment using JavaScript, PHP, Ruby, Python, C++ and/or Java / C#, HTML, CSS, React / Ember / Angular, etc. and working knowledge of relational and non-relational databases and SQL

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +

                                                    +

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    +

                                                    +

                                                    The next step is yours

                                                    +

                                                    +

                                                    Sound like The One Firm. For You? Apply by January 24th, 2021 at 11:59 pm EST.

                                                    +

                                                    +

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    +

                                                    +

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    +

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-24T18:31:00.000Z,False,0,25,107,https://talenthub.vectorinstitute.ai/jobs/44266679-omnia-ai-software-developer-new-grad-2021-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Omnia-AI-Software-Developer-New-Grad-2021-%28Toronto%29-ON-M5C-3G7/695937200/,expired,2020-12-14T15:46:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +3709a3c0-41ca-4177-91c1-3e6d1b1d5f02,44266683,Deloitte,Omnia AI: AI Strategy Consultant/Senior Consultant - New Grad 2021 (National),on_site,"Toronto, Ontario, Canada",2020-12-14T15:47:59.252Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Montreal; Toronto

                                                    +

                                                    +
                                                    • Learn from deep subject matter experts through mentoring and on the job coaching
                                                    • Be empowered to lead and have impact with clients, our communities and in the office
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +
                                                    +

                                                    Lead the way across a diverse breadth of clients as they wrestle with implications of how Artificial Intelligence is changing the landscape of their industries.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +

                                                    You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +

                                                    Omnia AI’s Strategy team is multi-disciplinary with over 75 people across offices in Vancouver, Calgary, Montreal, and Toronto. The team tackles a range of issues around data governance, privacy, ethics, and the design, enablement and operationalization of AI and Advanced Analytics applications – as well as domain specific applications in supply chain management, customer & marketing, government, financial services, and healthcare. Aside from core skillsets in strategy, design thinking, and digital transformation – the AI Strategy team also comprises of data scientists, architects, and analytics professionals who apply their skills at a strategic level.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone who is:
                                                    • Graduating in 2021 with an Undergraduate or Master’s degree in Business, Management or other relevant specialized degree. PLEASE NOTE: The start date for this role is September 2021
                                                    • Have relevant prior work experience in Financial Services, Government/Public Sector, Healthcare, Natural Resources, and/or Customer/Marketing
                                                    • Understand concepts related to Data Governance, Information Architecture, Metadata and/or Taxonomy
                                                    • Understand applications of Artificial Intelligence or Advanced Analytics at an enterprise scale
                                                    • Prior experience in consulting and/or graduate level education is preferred for consultant or senior consultant positions
                                                    • Proficient in spoken and written English and French (Montreal office only)

                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    +

                                                    +

                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You? Apply by January 17th, 2021 at 11:59 pm EST.

                                                    +

                                                    +

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    +

                                                    +

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    +

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Omnia-AI-AI-Strategy-ConsultantSenior-Consultant-New-Grad-2021-%28National%29-ON-M5C-3G7/695947900/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-07T06:23:10.911Z,False,0,8,57,https://talenthub.vectorinstitute.ai/jobs/44266683-omnia-ai-ai-strategy-consultant-senior-consultant-new-grad-2021-national-at-deloitte,https://careers.deloitte.ca/job/Toronto-Omnia-AI-AI-Strategy-ConsultantSenior-Consultant-New-Grad-2021-%28National%29-ON-M5C-3G7/695947900/,expired,2020-12-14T15:47:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +e55bbca1-be23-4cf8-b475-aafdfbcb1e08,44266700,Deloitte,Omnia AI: Data Architect/Engineer - New Grad 2021 (National),on_site,": Toronto, Ontario, Canada",2020-12-14T15:56:31.612Z,"

                                                    Job Type: New Graduate
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Ottawa; Toronto

                                                    +

                                                    +
                                                    • Be encouraged to deepen your technical skills in data engineering on Cloud and Big Data platforms
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada
                                                    • Be expected to share your ideas and make them a reality
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +
                                                    +

                                                    If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +
                                                    +

                                                    A data architect/engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

                                                    +

                                                    In this role, you will:

                                                    +
                                                    • Design, engineer and test data pipelines and platforms that enable business analytics and insights
                                                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                    • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                                    • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +

                                                    As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +
                                                    +

                                                    You are someone who is:

                                                    +
                                                    • Graduating from a Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, Business, Artificial Intelligence, Analytics or related field by September 2021. PLEASE NOTE: The start date for this role is September 2021 +
                                                    • Fascinated with data structures, data models and data patterns, interested in wrangling, joining and melting data sets together to create the foundation for analysis
                                                    • Quick to learn new technologies, easy to adapt to new environments, curious to try out new things and not intimidated by large and complicated data sets
                                                    • Exposed to and/or experienced with building data sets in the cloud (on AWS, Azure or Google platforms), on Big Data / Hadoop (using Sqoop, Kafka, Parquet, Scala, Python, etc.), or on database platforms (using SQL-like programming on SQL Server, Oracle, Hive, HBase, NoSQL databases, etc.)
                                                    • Able to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
                                                    • Proficient in spoken and written English and French (Montreal office only)
                                                    • +Candidates interested in the Ottawa Office: Employees in the Ottawa office will be required to obtain ""Reliability"" and/or ""Secret"" level federal security clearance(s) as a condition of their employment. To be eligible for a ""Reliability"" status, you must have resided in Canada for the last five (5) years, and for ""Secret"" level, the last ten (10) years
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +

                                                    +

                                                    You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster
                                                    You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful
                                                    You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work

                                                    +

                                                    +

                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You? Apply by January 17th, 2021 at 11:59 pm EST.

                                                    +

                                                    +

                                                    To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                    +

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    +

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Omnia-AI-Data-Engineer-New-Grad-2021-%28Ottawa%29/695913400/,feed-importer@jobboard.io,https://careers.deloitte.ca/,,,2021-01-07T06:23:10.782Z,False,0,16,86,https://talenthub.vectorinstitute.ai/jobs/44266700-omnia-ai-data-architect-engineer-new-grad-2021-national-at-deloitte,https://careers.deloitte.ca/job/Omnia-AI-Data-Engineer-New-Grad-2021-%28Ottawa%29/695913400/,expired,2020-12-14T15:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +e91306da-10a2-4fad-84b0-8927657130f8,44328799,Vector Institute (Internal Opportunities Only),Reinforcement Learning - TA Position (Delivery),full,Anywhere,2020-12-15T17:26:44.324Z,"

                                                    Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 3rd, 2021. The course will run dependent on the number of participant registrations.

                                                    +

                                                    We are advertising for this role in advance of February 3rd so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                    +

                                                    This posting is to recruit two (2) TA candidates.

                                                    +

                                                    STATEMENT OF WORK: Reinforcement Learning - TA Position (Delivery)

                                                    +

                                                    Reinforcement Learning Course Dates: March 16 - May 4, 2021 (Final assignment due May 20)

                                                    +

                                                    Location: This course will be delivered online via D2L Brightspace

                                                    +

                                                    Lectures and Tutorials: Deliver typically four 2h Tutorials (1/week)

                                                    +

                                                    Instructors: TBA

                                                    +

                                                    Overview

                                                    +

                                                    Vector has launched a Professional Development program called the AI Certificate Program for Industry, which is exclusive to industry sponsors. The program consists of 8-week instructional courses including lectures and Tutorials led by Vector researchers plus discussions led by industry sponsors. The courses are:

                                                    +
                                                      +
                                                    • Mathematical Foundations for AI (January 12, 2021)
                                                    • +
                                                    • Machine Learning and AI (January 13, 2021)
                                                    • +
                                                    • Deep Learning - Theory (January 19, 2021)
                                                    • +
                                                    • Deep Learning - Applied (January 26, 2021)
                                                    -

                                                    Video: Digital Opportunities

                                                    -

                                                    Learn more here: Transaction Services, Deal Advisory - KPMG

                                                    -


                                                    What you will do

                                                    +

                                                    Participant registration closed on December 15, 2020.

                                                    +
                                                    • Reinforcement Learning (March 16, 2021)
                                                    +

                                                    Participant registration closes on January 31, 2021.

                                                    +

                                                    Reinforcement learning is a powerful paradigm for modeling autonomous and intelligent agents interacting with the environment, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare. This course provides an introduction to reinforcement learning intelligence, which focuses on the study and design of agents that interact with a complex, uncertain world to achieve a goal. We will study agents that can make near-optimal decisions in a timely manner with incomplete information and limited computational resources.

                                                    +

                                                    Proposed Topics

                                                    +

                                                    With a focus on AI as the design of agents learning from experience to predict and control their environment, topics will include:

                                                      -
                                                    • Work closely with public, private and third-party data sets to generate data-driven insights.
                                                    • -
                                                    • Carry out rapid analysis in Python of data sets (structured and/or unstructured).
                                                    • -
                                                    • Using KPMG proprietary and third-party data analytics tools, you will deliver deeper insights to our clients at deal speed
                                                    • -
                                                    • Identify and report key issues, perform relevant financial analysis, and interpret results
                                                    • -
                                                    • Develop analytical procedures and templates that can be deployed to others to increase the capabilities of the wider team
                                                    • -
                                                    • Work with large volumes of data (structured and unstructured) - investigate and perform deeper analysis to produce impactful insights to achieve targeted outcomes.
                                                    • -
                                                    • Work shoulder to shoulder with KPMG’s engagement teams to deliver deep insights at speed to achieve the best client outcomes.
                                                    • -
                                                    • Draft detailed professional reports and other client deliverables e.g. Excel schedules, Tableau dashboards, results of predictive models etc.
                                                    • -
                                                    • Establish credibility and develop relationships with current and prospective clients.
                                                    • -
                                                    • Provide support/assistance for proposals.
                                                    • -
                                                    • Develop and support other business units to identify use cases and increase the use of data & analytics in a cross-functional role (e.g. Valuations, Corporate Finance, Operations M&A / Value Creation, Restructuring & Turnaround, Global Infrastructure Project Group, etc.).
                                                    • +
                                                    • Markov decision processes
                                                    • +
                                                    • Planning by approximate dynamic programming
                                                    • +
                                                    • Monte Carlo and Temporal Difference Learning for prediction
                                                    • +
                                                    • Monte Carlo, Sarsa, and Q-learning for control
                                                    • +
                                                    • Dynamic Programming and planning with a learned model
                                                    • +
                                                    • Prediction and control with function approximation
                                                    • +
                                                    • Policy gradient methods
                                                    • +
                                                    • Psychology & Neuroscience
                                                    -

                                                    -

                                                    At times, business needs arise, and employees are required and agree to work beyond their normal workday or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this.

                                                    -


                                                    What you bring to the role

                                                    +

                                                    Tasks and Responsibilities

                                                      -
                                                    • A solid understanding of Python, Pandas, NumPy and essential python libraries.
                                                    • -
                                                    • A solid understanding of advanced statistics to generate quantitative data-driven insights.
                                                    • -
                                                    • An ability to rapidly extract data-driven insights in a Jupyter Notebook environment.
                                                    • -
                                                    • An understanding of how to deal with structured and unstructured data such as text and geospatial data such as maps.
                                                    • -
                                                    • An ability to rapidly extract, transfer and load (ETL) data in Python or Alteryx.
                                                    • -
                                                    • Prior exposure to data visualization tools like PowerBI, Tableau or Qlik.
                                                    • -
                                                    • An ability to script in Python an unsupervised machine learning algorithm such as k-means clustering.
                                                    • -
                                                    • An ability to script in Python a supervised machine learning algorithm such as a decision tree.
                                                    • -
                                                    • An ability to rapidly automate ETL process using Python or other tools such as Alteryx.
                                                    • -
                                                    • Proficiency in Cloud computing with AWS, Azure or GCP is a plus.
                                                    • -
                                                    • An advanced user of Microsoft Tools (Excel, PowerPoint, Word)
                                                    • -
                                                    • Client-facing communication skills such as presenting data-driven results and insights.
                                                    • -
                                                    • An understanding and willingness to learn about investments, finance and M&A.
                                                    • -
                                                    • A background in physics, math, statistics, computer science and/or engineering.
                                                    • +
                                                    • Deliver and mark (typically four) Assignments with direction from the course Instructor(s)
                                                    • +
                                                    • Mark Assignments related to Tutorials delivered, and enter grades to the Vector Learning Management System (LMS) – currently D2L
                                                    • +
                                                    • Curate recommended readings or supplementary materials to support Assignments
                                                    • +
                                                    • Ensure that all course materials are submitted (including Lecture slides, Lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in D2L
                                                    • +
                                                    • Provide assistance to course participants following each Tutorial and throughout the course
                                                    -

                                                    -

                                                    Keys to your success:

                                                    +

                                                    Fees

                                                    +
                                                    • $50/hour x 2 x 15 hours = $1,500 for:
                                                        +
                                                      • Facilitating four 2h Tutorials (1/week)
                                                      • +
                                                      • Allocating an additional 1h/week to emails and administrative tasks related to the course
                                                      • +
                                                      • Marking assignments and entering grades in D2L
                                                      • +
                                                      +
                                                    +

                                                    Course Schedule

                                                    +

                                                    Schedule TBA. The weekly day and time of Tutorials and Lectures will be determined by availability of Instructors and TAs, but will be regular across the 8-week course.

                                                    +

                                                    Hours:

                                                      -
                                                    • Strong analytical skills and attention to detail
                                                    • -
                                                    • Highly motivated to learn and succeed in a fast-paced environment
                                                    • -
                                                    • Curiosity, healthy skepticism, creativity, and attention to detail.
                                                    • -
                                                    • Committed, able to work independently with minimal supervision and flexible to cope with changing priorities and strict deadlines.
                                                    • -
                                                    • Excellent verbal and written communication skills.
                                                    • -
                                                    • Skilled in building a network and working relationships internally and externally.
                                                    • +
                                                    • Lectures - 2h/week
                                                    • +
                                                    • Tutorials - 2h/week
                                                    • +
                                                    • TA Office Hour - 1h/week
                                                    -

                                                    The Deal Advisory practice is hiring for Data Analytics & Data Science. Specifically, KPMG is interested in talented Data Scientists with advanced skills in Python that have an appetite and interest in Mergers & Acquisitions, Private Equity, Transactions and Investing. This unique skill will enable you to provide a new level of data-driven insights.

                                                    +
                                                      +
                                                    • Week 1: Week of Mar 15, 2021
                                                    • +
                                                    • Week 2: Week of Mar 22, 2021
                                                    • +
                                                    • Week 3: Week of Mar 29, 2021
                                                    • +
                                                    • Week 4: Week of Apr 5, 2021
                                                    • +
                                                    • Week 5: Week of Apr 12, 2021
                                                    • +
                                                    • Week 6: Week of Apr 19, 2021
                                                    • +
                                                    • Week 7: Week of Apr 26, 2021
                                                    • +
                                                    • Week 8: Week of May 3, 2021
                                                    • +
                                                    +

                                                    To apply, please submit your CV and a statement outlining your motivation and objectives.

                                                    -

                                                    The application deadline is Friday, March 26th 2021 at 11:59 pm EST.

                                                    -


                                                    Our Values, The KPMG Way

                                                    -

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    +


                                                    +

                                                    ",brittany.camp@vectorinstitute.ai,,brittany.camp@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-02-02T17:27:00.000Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/44328799-reinforcement-learning-ta-position-delivery-at-vector-institute-internal-opportunities-only,,expired,2020-06-01T17:26:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, +d4c87c00-0c1c-4b62-99ac-55398ce3c0e5,44433683,CIBC,Senior Data Scientist,on_site,"Toronto, ON, Canada",2020-12-16T16:55:55.307Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/students/jobs/7814,aitalent@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-29T17:30:00.000Z,False,0,65,164,https://talenthub.vectorinstitute.ai/jobs/54717921-data-scientist-consultant-summer-intern-co-op-at-kpmg,,expired,2021-03-16T20:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, -5d494877-7ac0-465c-a5ac-a3f7e9f8638e,54717932,Thomson Reuters,"Senior Analyst- Product Insights, CSP",on_site,"Toronto, ON, Canada",2021-03-16T20:32:57.243Z,"

                                                    As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                    +

                                                    Job Description

                                                    -

                                                    If you are looking to be in the driver seat of one of the largest product transformation exercises for a multibillion-dollar global brand, this is your opportunity to do so. The enterprise product analytics team is a multi-functional data, insights, and growth team inside the product organization of Thomson Reuters, focusing exclusively on data-driven decision making.

                                                    +

                                                    What You’ll Be Doing

                                                    -

                                                    The Senior Products Insights Analyst will be responsible for end-to-end product analytics for the named product(s). The analyst will be owning the implementation of product analytics trackers such as (not limited to) Pendo, building reports/dashboards, and using them to produce feature/usage insights to drive routine product management. This will be a product-focused role requiring thorough understanding and ownership of the assigned products, their roadmap, and skills to draw business, customer, and product insights from data.

                                                    +

                                                    The Data & Analytics team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                    -

                                                    About the Role

                                                    -

                                                    As a Senior Analyst- Product Insights, you will:

                                                    +

                                                    How You’ll Succeed

                                                    • -Thought Leadership: Act as analysis/insights thought leader for the assigned product team(s) leading important analyses like customer journey mapping, in-product flow analysis, cohort analysis, and audience profiling
                                                    • +Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                                    • -Drive Data-Driven Culture: Co-own product feature wishlist(s) and roadmap with product managers, nurturing strong data-driven product management and decision making; continuously draw insights to drive (or challenge) product management backlog;
                                                    • +Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                                    • -Improve Product: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities
                                                    • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs +
                                                    +

                                                    +

                                                    Who You Are

                                                    +
                                                    • -Implementation: Partner with product managers to establish measurement plan and then work with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure right metrics, journeys, and events are captured in-product
                                                    • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                                    • -Lead BI/Reporting: Partner with BI teams to build dashboards and reports, including long-term trends, baselines and/or page performance, feature usage, and customer segments
                                                    • +You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field. +
                                                    • +You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • +
                                                    • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                    • +
                                                    • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • +
                                                    • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                    -

                                                    About You

                                                    -

                                                    You’re a fit for the role of a Senior Analyst- Product Insights if you have:

                                                    -

                                                    Basic qualifications:

                                                    -
                                                      -
                                                    • 5+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.,
                                                    • -
                                                    • 1+ years of hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
                                                    • -
                                                    • Experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
                                                    • -
                                                    • Experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python or SAS
                                                    • -
                                                    • Experience in going beyond reports/data- driving product management using insights and hypothesis testing
                                                    • -
                                                    +

                                                    What CIBC Offers

                                                    -

                                                    Preferred qualifications:

                                                    +

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      -
                                                    • 5+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.,
                                                    • -
                                                    • 3+ years of experience in product management or product analytics for customer success, billing, or customer management portal
                                                    • -
                                                    • Prior track-record driving significant business impact, influencing specific OKRs/metrics
                                                    • -
                                                    • At least 3 years of hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
                                                    • -
                                                    • At least 3 years of experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
                                                    • -
                                                    • At least 3 years of hands-on data mining experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python, or SAS
                                                    • -
                                                    • At least 3 years of experience of going beyond reports/data- driving product management using insights and hypothesis testing
                                                    • -
                                                    • Understanding of various concepts such as agile/scrum, A/B or multivariate testing, tag management, journey mapping, and segmentation
                                                    • -
                                                    • Tax or Legal subscription products experience preferred
                                                    • +
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +
                                                    • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • +
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                    -

                                                    What’s in it For You

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                    -
                                                      -
                                                    • -Learning & Development:

                                                      +

                                                      What You Need to Know

                                                        -
                                                      • Exposure to a wide breadth of leading-edge technology
                                                      • -
                                                      • Career growth - the ability to work on multiple projects and/or with various teams
                                                      • -
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series, etc.
                                                      • -
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor, and more, we offer learning opportunities for everyone
                                                      • -
                                                      +
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
                                                    • -
                                                    • -Benefits/Perks:

                                                      +
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    Job Location

                                                    +

                                                    Toronto 55 Yonge Street, 4th

                                                    +

                                                    Employment Type

                                                    +

                                                    Regular

                                                    +

                                                    +

                                                    Weekly Hours

                                                    +

                                                    37.5

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist_2014739-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2020-12-21T17:35:00.000Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/44433683-senior-data-scientist-at-cibc,,expired,2020-12-16T16:55:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +7c6ea171-c58f-4008-a778-d83ad24db136,44707270,TD Bank Group,"Senior Manager, Personal Banking Data and Analytics Strategy",on_site,"Toronto, ON",2020-12-21T06:18:53.264Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +
                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    +It is our People who make the difference in the dynamic and diversified businesses of TD Bank. It is the engagement, development and recognition of the accomplishments of our employees that has created an environment where individuals are inspired to exceed business objectives.

                                                    Reporting directly to the VP, Personal Banking Data and Analytics, within Canadian Personal Banking, this role will lead a team to help drive the Personal Banking Data and Analytics (PBDA) Spoke Strategy across a team of over 250 FTE.

                                                    The Strategy and Planning function will work with all lines of business within Canadian Personal Banking (CPB) to guide and direct data and analytics projects, providing consultative support and services. This team will stand up market-leading analytics practices and work on TD’s most challenging data and analytics problems across the Personal Bank. This role will be responsible for leading the “business of data and analytics” through transformation and innovation within a dynamic developing function, with core focus on talent management, overall governance and control, and process innovation.

                                                    +

                                                    We are looking for a self-motivated individual who wants to work in a fast paced and high impact Data and Analytics team, driving considerable change on pour pursuit to ‘Make Data and Analytics the Competitive Advantage for TD.

                                                    +
                                                    +

                                                    +

                                                    Job Description

                                                    +
                                                    +
                                                      +
                                                    • Deliver Personal Banking Data and Analytics long term strategy and roadmap
                                                    • +
                                                    • Enhance analytics capability by helping Canadian Personal Banking data and analytics teams develop “best-in-class” talent, governance and process strategies to deliver meaningful insights that drive measurable business value.
                                                    • +
                                                    • Identify and champion projects and services including the development of action plans and roadmaps for data and analytics teams within CPB and across the bank.
                                                    • +
                                                    • Provide accurate planning and resourcing across all aspects of analytics, including working with data and reporting teams to triage and agree resourcing to optimize capacity.
                                                    • +
                                                    +
                                                      +
                                                    • Manage and enhance technical and governance capability. Oversee the analytics process and facilitate ways to increase efficiency and quality of analytics delivery. Accountable for Decision Governance, Model Risk Governance, and Data Access and Controls.
                                                    • +
                                                    • Assess existing analytics tools and investigate new opportunities to enhance existing analytical capabilities and enable greater automation where possible.
                                                    • +
                                                    • Build understanding of advanced analytics capability across the bank – leverage capabilities across the Enterprise Data and Analytics function and Line of Business teams to bring value to a variety of Lines of Business.
                                                    • +
                                                    • Manage and enhance colleague experience. Oversee talent planning, recruitment, onboarding, engagement, fiscal objectives planning, twice annual performance calibration, prioritization of flagship project resourcing and relationships with Enterprise teams and offshore partners.
                                                    • +
                                                    • Coordinate analytics innovation and investment priorities and outreach to influence and integrate future analytics capabilities into the enterprise.
                                                    • +
                                                    +
                                                      +
                                                    • Build for the future and provide people leadership; oversee people plans and strategies to attract, motivate and retain highly diverse, qualified and engaged teams to fulfill current and future business needs.
                                                    • +
                                                    • Act as a key member of the PBDA Executive SLT reporting direct to VP, helping to solve a diverse set of problems
                                                    • +
                                                    +
                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                      +
                                                    • Proven analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
                                                    • +
                                                    • Ability to perform and use predictive analytics to develop detailed business cases and explain business value of projects
                                                    • +
                                                    • Focus on data driven analytics and providing sensitivity analysis through model or data simulations.
                                                    • +
                                                    • Business and Product Knowledge & ability to provide meaningful insights for sound decision making
                                                    • +
                                                    • Technical understanding to develop and challenge Business Insight & Data Analysts (Understand coding and modeling best practices)
                                                    • +
                                                    • Strong understanding of test and experimental design (Test and Learn)
                                                    • +
                                                    • Excellent interpersonal and communication skills, both written and verbal
                                                    • +
                                                    • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
                                                    • +
                                                    • Passion for analytics with a customer-driven mindset
                                                    • +
                                                    • Experience working in both a technical and business context and able to translate technical concepts into easy to understand business language
                                                    • +
                                                    • In-depth industry knowledge, including current data trends and challenges globally
                                                    • +
                                                    • Strong analytic skills, including statistical and segmentation analysis; data analysis and insight development; financial statement and competitive analysis
                                                    • +
                                                    • University degree in Analytics, Statistics, Mathematics, Engineering, Economics or other analytically based discipline, Graduate degree an asset
                                                    • +
                                                    +

                                                    +

                                                    Additional Information

                                                    +
                                                      +
                                                    • 7+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                                    • +
                                                    • Experience managing a team of highly capable business insight and data analysts an asset
                                                    • +
                                                    • Strong knowledge of analytical tools such as Python, SAS, SQL, and MS Office applications such as Access, Excel and Power Point
                                                    • +
                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/12008014/senior-manager-personal-banking-data-and-analytics-strategy-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-11T06:22:15.573Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/44707270-senior-manager-personal-banking-data-and-analytics-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12008014/senior-manager-personal-banking-data-and-analytics-strategy-toronto-ca/,expired,2020-12-21T06:18:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +75c8a2a3-131d-4b10-94d6-1ffbc2c8f88a,44750345,Vector Institute (Internal Opportunities Only),Small and Medium-Sized Enterprises (SME) Workshop Series - TA (Delivery),full,Anywhere,2020-12-21T17:50:29.707Z,"

                                                    Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 1, 2021. The course will run dependent on the number of participant registrations.

                                                    +

                                                    We are advertising for this role in advance of February 1, 2021 so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                    +

                                                    This posting is to recruit two (2) TA candidates.

                                                    +

                                                    STATEMENT OF WORK: Small and Medium-Sized Enterprises (SME) Workshop Series - TA (Delivery)

                                                    +

                                                    SME Workshop Series Dates: February 1 – March 31, 2021

                                                    +

                                                    Location: This course will be delivered online via D2L Brightspace

                                                    +

                                                    Lectures and Tutorials: Deliver typically four 2h Tutorials (1/week)

                                                    +

                                                    Instructors: TBD

                                                    +

                                                    Overview

                                                    +

                                                    Bias in AI: ‘Practical examples in NLP & Computer Vision’ is an online program. This immersive and interactive program is designed to build AI capacity among SMEs both in technical skills and in responsible applications of AI. Bias in AI may exclude or disadvantage sections of the Canadian population, an unacceptable outcome in a country as diverse as Canada. Providing education on how bias in AI can be identified and potentially reduced will empower practitioners in participating SMEs and it will strengthen their leadership in responsible AI within the AI ecosystem and beyond. During this course, SMEs will apply the program learnings to their organizations and present these to instructors and stakeholders from Vector Institute and SME Workshop Series representatives in the final week. In this program, SMEs will work on a capstone project of their choosing based on their own business context to maximize value.

                                                    +

                                                    The target audience is SMEs that are looking to or have adopted AI technologies and have employees with experience building and managing AI models. The program will have between 20 – 30 participants from different SMEs and will cover bias in Natural Language Processing and Computer Vision. Participants are expected to have some experience building neural network models.

                                                    +

                                                    Tasks and Responsibilities

                                                      -
                                                    • Health benefits
                                                    • -
                                                    • Savings/investment plans
                                                    • -
                                                    • Paid time off (including time off to volunteer and extended parental leave)
                                                    • +
                                                    • Deliver and mark (typically four) Assignments with direction from the course Instructor(s)
                                                    • +
                                                    • Mark Assignments related to Tutorials delivered, and enter grades to the Vector Learning Management System (LMS) – currently D2L
                                                    • +
                                                    • Curate recommended readings or supplementary materials to support Assignments
                                                    • +
                                                    • Ensure that all course materials are submitted (including Lecture slides, Lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in D2L
                                                    • +
                                                    • Provide assistance to course participants following each Tutorial and throughout the course
                                                    - -
                                                  • -Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance
                                                  • -
                                                  • -Global Opportunities: We have employees in over 90 countries, working across 3 different industries
                                                  • -
                                                  • -Your wellbeing: We offer a program that focuses on making our lives healthier
                                                  • +

                                                    Fees

                                                    +
                                                    • $50/hour x 2 x 15 hours = $1,500 for:
                                                        +
                                                      • Facilitating four 2h Tutorials (1/week)
                                                      • +
                                                      • Allocating an additional 1h/week to emails and administrative tasks related to the course
                                                      • +
                                                      • Marking assignments and entering grades in D2L
                                                      +
                                                    +

                                                    TAs must submit invoices at the end of the course. All fees are payable at the end of the course ~31 March 2021.

                                                    +

                                                    Course Schedule

                                                    +

                                                    Schedule TBA. The day and time of Tutorials and Lectures will be determined by availability of Instructors and TAs, but will be regular across the course.

                                                    +

                                                    Course Outline

                                                    +

                                                    Week 1: Monday 1 February, 2021

                                                    +

                                                    o Tutorial (i): Admin & Registration Set-up, D2L Orientation

                                                    +

                                                    Workshop 1: Tuesday 2 February, 2021:

                                                    +

                                                    Topic: AI Overview, Tools & Best Practices

                                                    +

                                                    · Mathematical Foundations

                                                    +

                                                    · Python Hygiene - packages, troubleshooting, and running efficient models

                                                    +

                                                    · NLP Fundamentals

                                                    +

                                                    Assignment (1): Develop classic GPT2/Bert model - text generation/ prediction

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    Week 2: Monday 8 February, 2021

                                                    +

                                                    o Tutorial (ii): Go over Assignment (1) & Week 1 materials

                                                    +

                                                    Workshop 2: Tuesday 9 February, 2021

                                                    +

                                                    Topic: Computer Vision Models

                                                    +

                                                    · Computer Vision Fundamentals

                                                    +

                                                    Assignment (2): Develop a classic Computer Vision classification model

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    *Week 3: Tuesday 16 February, 2021 *Monday 15 February is a public holiday

                                                    +

                                                    o Tutorial (iii): Go over Assignment (2) & Week 2 materials

                                                    +

                                                    Workshop 3: Wednesday 17 February, 2021

                                                    +

                                                    Topic: Reducing bias in NLP & Computer Vision models

                                                    +

                                                    · Bias in AI (Introduction)

                                                    +

                                                    · Governance, Privacy & Ethics

                                                    +

                                                    Assignment (3): Reducing bias in NLP & Computer Vision models (report)

                                                    -

                                                    Accessibility

                                                    +

                                                    Week 4: Monday 22 February, 2021

                                                    +

                                                    o Tutorial (iv): Go over Assignment (3) & Week 3 materials

                                                    +

                                                    Workshop 4: Tuesday, 23 February 2021

                                                    +

                                                    Topic: Reducing bias in NLP & Computer Vision models

                                                    +

                                                    · Methods for identifying and reducing bias

                                                    +

                                                    Assignment (4): Reducing bias in NLP & Computer Vision models (applied)

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    Week 5: Monday 1 March, 2021

                                                    +

                                                    o Tutorial (v): Go over Assignment (4) & Week 4 materials

                                                    +

                                                    Workshop 5: Tuesday, 8 March 2021

                                                    +

                                                    Topic: Capstone Preparation

                                                    +

                                                    · Introduction to Capstone Project

                                                    +

                                                    · Scientific writing & presentations

                                                    +

                                                    Assignment (5): Capstone Project - identify and reduce bias in your AI models

                                                    +

                                                    · Presentation reviewed by a panel including IRAP staff

                                                    +

                                                    · Capstone review and feedback

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    CAPSTONE PROJECT FINAL: Tuesday 16 March, 2021

                                                    +

                                                    Capstone Presentations: “Identify and reduce bias in your AI models”

                                                    +

                                                    Capstone Panel: Vector Institute & Stakeholders

                                                    +

                                                    Marks submitted & data captured - end of course.

                                                    +

                                                    To apply, please submit your CV and a statement outlining your motivation and objectives to: brittany.camp@vectorinstitute.ai

                                                    +

                                                    ",brittany.camp@vectorinstitute.ai,,brittany.camp@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-01-22T13:55:08.733Z,False,0,0,59,https://talenthub.vectorinstitute.ai/jobs/44750345-small-and-medium-sized-enterprises-sme-workshop-series-ta-delivery-at-vector-institute-internal-opportunities-only,,expired,2020-07-01T17:50:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, +0bee285a-92dd-4495-bf17-771f67fd2bbc,45455746,CIBC,"Senior Analyst, Business Analytics",on_site,"Toronto, ON, Canada",2020-12-28T18:18:43.230Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/USA-Carrollton-2395-Midway-Rd/Senior-Analyst--Product-Insights--CSP_JREQ140192?SourceID-APPLICANT_SOURCE-3-713,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-04-15T20:32:59.275Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/54717932-senior-analyst-product-insights-csp-at-thomson-reuters,,expired,2021-03-16T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -a15e023f-bc78-4d3b-8574-f8980be86120,55002569,Thomson Reuters,Jr Data Engineer,on_site,Toronto-Ontario-Canada,2021-03-18T15:39:20.768Z,"
                                                    -Job Description

                                                    Thomson Reuters Information Security and Risk Management (ISRM) team is seeking a high-energy, motivated Data Engineer to join our security engineering team tasked with delivering innovative software and data solutions to improve the security posture of Thomson Reuters. Our products service customers across various security functions including Incident Response, Identity and Access Management, Cyber Intelligence, Enterprise Vulnerability Management, Data Loss Prevention, and Security Architecture. In this role you will be based in our Eagan, MN location.

                                                    -

                                                    About the role:

                                                    -

                                                    In this role as a Data Engineer, you will…

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    +

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    +

                                                    What You’ll Be Doing

                                                    +

                                                    +

                                                    As a Senior Analyst, Business Analytics you support Repos, Securities Lending, OTC Derivatives and Prime Brokerage service, and will participate in various operational activities that include but are not limited to collateral management, margin calls, settlements and corporate actions. You will independently resolve complex issues and/or disputes with clients and business partners in a professional manner, engaging support from various groups (Front Office, Finance, Technology, etc..) as appropriate, and understand numerous complex products, associated trade events (including accounting activities) including related process flows. Partner engagement is routine and frequent.

                                                    +

                                                    +

                                                    How You’ll Succeed

                                                    +

                                                    +

                                                    Operational Knowledge: You will leverage your previous skills in banking operations (ie: client account and transaction processing, payments, settlements, reconciliations and investigations.), and leverage your education and practical experience dealing with complex financial instruments including derivatives, repos, securities lending, etc..

                                                    +

                                                    Coaching and Relationship Building: You will coach junior staff to ensure they understand processes, procedures and the importance of customer service quality. You will also take on some escalated issues as may be assigned, stay in regular contact with internal and external partners to obtain and provide information, as well as respond to request.

                                                    +

                                                    Analytical Skills: You will investigate reoccurring anomalies or irregularities to determine their frequency and cause and recommend potential solutions. However, you will escalate issues that are above your level of competence. You will competently and professionally liaise with various lines of business (e.g. Trade Control, Middle & Front Office, Technology) to complete the investigation of discrepancies to satisfactory resolution.

                                                    +

                                                    +

                                                    Who you are

                                                    +

                                                    +

                                                    You are resourceful and inquisitive. When placed in unfamiliar territory, you’re committed toward understanding through various channels

                                                    +

                                                    You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.

                                                    +

                                                    You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.

                                                    +

                                                    You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                    +

                                                    You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.

                                                    +

                                                    Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                    +

                                                    +

                                                    What CIBC Offers

                                                    +

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    • -Be Agile: Working with a team to design, build and deploy high quality software products for ISRM
                                                    • -
                                                    • -Be Responsible: For the end-to-end delivery of features across our product suite
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -Be Customer Driven: Continuously improve software engineering practices and contribute new ideas to the team
                                                    • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -Be Collaborative: Work with product owner(s) and/or team members to understand product vision and requirements
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • -Be a subject Matter Expert: Regularly self-improve by monitoring changes in tech landscape
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                    -

                                                    About you:

                                                    -

                                                    Required Qualifications:

                                                    +

                                                    What You Need to Know

                                                      -
                                                    • Bachelor’s Degree or Equivalent Work Experience
                                                    • -
                                                    • 2+ years development experience in building ETL/ELT data flows
                                                    • -
                                                    • Experience with Python or Java development
                                                    • -
                                                    • Hands-on knowledge in using SQL queries (analytical functions) and writing and optimizing SQL queries
                                                    • -
                                                    • Experience working with data visualization tools (Tableau, Power BI...)
                                                    • -
                                                    • Experience with version control systems such as Git
                                                    • -
                                                    • Experience with cloud platforms and services such as AWS/Azure
                                                    • -
                                                    • Strong problem-solving and interpersonal skills
                                                    • -
                                                    • Ability to perform in a changing environment
                                                    • +
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                    • +
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    +

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analyst--Business-Analytics_2017597-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-01-04T16:38:00.000Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/45455746-senior-analyst-business-analytics-at-cibc,,expired,2020-12-28T18:18:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +beba14b6-f2fa-43b0-bd0c-710098ee167e,45456836,Vector Institute,"Director, Health Research Operations",on_site,"Toronto, ON, Canada",2020-12-28T18:37:43.563Z,"

                                                    POSITION OVERVIEW

                                                    -

                                                    Preferred Qualifications:

                                                    -
                                                      -
                                                    • Degree in a technical field such as Computer Science/Engineering, Physics, Mathematics or Statistics
                                                    • -
                                                    • Familiarity with Docker and Elastic Containers
                                                    • -
                                                    • Familiarity with Serverless design, architecture and frameworks such as Lambda
                                                    • -
                                                    • Familiarity with IaC frameworks such as CloudFormation or Terraform
                                                    • -
                                                    • Experience with CI/CD pipelines and processes
                                                    • -
                                                    • Experience with Shell scripting and Linux OS
                                                    • -
                                                    • Experience with Database/Data Warehouse technologies such as PostgreSQL or Snowflake
                                                    • -
                                                    • Experience with enterprise security
                                                    • -
                                                    • Experience with Agile software development practices
                                                    • -
                                                    +

                                                    Reporting to the Vice President, Health, the Director, Health Research Operations will provide leadership for all operational aspects of the health AI portfolio at the Vector Institute, to enable an efficient and effective research program. The Director will be responsible for rapid and thorough review, execution, and management of grant submissions, contracts (e.g., data sharing/use agreements, partnership MOUs, etc.), and associated fund transfers, and will also hold responsibility for all operational elements of portfolio-wide research projects, activities, and events.

                                                    +

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    What's in it for you!

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • -Perks: You will have the opportunity to work for a company that has a market dominant position for both content and technology and is passionate about giving back to the community.
                                                    • -
                                                    • -Learning & Development: You are will be joining a growing sales team that has the commitment of the company to prioritize organic growth and has made investments to expand the sales team capability.
                                                    • -
                                                    • -Compensation: Base salary and a variable compensation that is directly related to your success
                                                    • -
                                                    • -Benefits: Extraordinary benefits package.
                                                    • -
                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/501517/Jr-Data-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-03-25T15:45:10.294Z,False,0,6,18,https://talenthub.vectorinstitute.ai/jobs/55002569-jr-data-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/501517/Jr-Data-Engineer/,expired,2021-03-18T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -15a3745e-bfd6-4233-8bbe-b3d6901a6cf8,55002655,Deloitte,"Senior Manager, Intelligent Automation, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-18T15:39:27.593Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Ottawa; Toronto

                                                    -

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    As part of this team you would be working with our industry and account teams – spotting client opportunities, tailoring our propositions and working together to convert sales. You would harness key IA platforms such as ABBYY, AWS, Automation Anywhere, Blue Prism, Celonis, GCP, Microsoft, UiPath and others, to address the challenges and automation ambitions of our clients and deliver results. As a Senior Manager within this team, you have the opportunity to combine your deep industry experience with your technical knowhow to develop your career while working with multiple clients.

                                                    -

                                                    A Senior Manager at Deloitte is expected to contribute to the firm's growth and development in a variety of ways, including:

                                                    -
                                                    • Business Development: Develop and maintain contact with top decision makers at key clients in your sector; work closely with Deloitte industry and account leaders in your chosen industry to integrate IA propositions; organize and lead IA pursuit teams; lead, participate and win proposals.
                                                    • Client Management: Manage day-to-day interactions with executive clients and sponsors; define, educate and embed IA principles and solutions at clients.
                                                    • Engagement Management: Lead IT engagement teams; complete project planning and budgeting; define deliverable structure and content; facilitate buy-in of proposed solutions from all levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk; manage diverse teams within an inclusive team culture where people are recognized for their contribution.
                                                    • Practice Development & Eminence: Develop IA practical solutions, Proof of Concepts and methodologies; develop IA thought leadership and point-of-view documents; participate in public speaking and events in your industry.
                                                    • People Development: Perform role of people leader and coach; provide input and guidance into the staffing process; actively participate in IA staff recruitment and retention activities; provide leadership and support for IA delivery teams and staff in local offices.
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • Solid delivery experience with intelligent automation projects, including with Robotic Process Automation, Business Process Management and Artificial Intelligence solutions (or other technology-enabled transformation programs/projects) with large budgets and strategic impact, particularly in your chosen industry sector
                                                    • Provided advisory and implementation expertise to clients including use case and business case development for disruptor based technologies
                                                    • A proven track record of successfully leading and managing teams, including performance management, coaching and mentoring
                                                    • Managed stakeholders using clear communications and formed strong client relationships
                                                    • Knowledge and understanding of how Intelligent Automation technologies are driving change across your chosen industry and market, and address organizational challenges
                                                    • Designed and/or delivered automation centers of excellence (CoE) and operating models (desirable)
                                                    • Strong commercial and project management skills
                                                    • Worked independently and managed multiple task assignments
                                                    • Relevant consulting or industry experience
                                                    • Worked within an agile delivery environment; experience/certification in delivering change initiatives in an agile way is a plus
                                                    • Managed junior resources both on a project and day-to-day basis, including the quality assurance of client deliverables
                                                    • Worked effectively within an inclusive team and actively supported the development of individuals and teams, both formally and informally
                                                    • Eligibility for Canadian security clearances preferred
                                                    • +
                                                    • Serve as the Health portfolio lead for standardization, review, execution, and management of all contracts, agreements, and fund transfers;
                                                    • +
                                                    • Serve as the Health portfolio lead for grant application development, submission, and ongoing management and reporting;
                                                    • +
                                                    • Oversee and manage portfolio-wide research initiatives (e.g., OHDP, GEMINI), including providing support for faculty collaboration activities, as well as planning and implementing relevant meetings and other communications;
                                                    • +
                                                    • Provide ongoing monitoring to ensure successful implementation of all contractual and project deliverables;
                                                    • +
                                                    • Serve as the main Vector corporate contact for all health AI research projects (led by Vector, or led by others with Vector as a partner);
                                                    • +
                                                    • Provide supervision for the Program Manager, Health Research Operations role, as well as dotted-line supervision for administrative support staff, including oversight and accountability for:
                                                        +
                                                      • Project plan creation, engagement with project stakeholders, identifying and managing project risks, and milestone tracking;
                                                      • +
                                                      • Implementing improved structures and processes for Health contracts/agreements, as well as other key operational aspects of the portfolio;
                                                      • +
                                                      • Creating and implementing a document management system to organize and make available core documents, including:
                                                        • Working closely with the team, enhancing and maintaining a shared drive for all health-related files, and acting as the point of contact for the team to retrieve documents;
                                                        +
                                                      • +
                                                      • Implementing a framework for how the Health workstream engages with its faculty, affiliates, and their trainees to support coordinated implementation of strategic objectives;
                                                      • +
                                                      • Maintaining a team tracker document that incorporates key objectives, milestones, and deliverables for all projects, and generating reports on performance against targets for senior management and the Board of Directors;
                                                      • +
                                                      • Leading planning and implementation for Vector-led health events;
                                                      • +
                                                      • Leading planning and implementation for Health portfolio meetings (agenda packages, minutes, tracking action items);
                                                      • +
                                                      • Supporting researchers in applying for and securing external funding by drafting letters of support; and,
                                                      • +
                                                      • Keeping a record of Vector’s support and participation in research projects and initiatives to capture Vector’s contribution to AI in health.
                                                      -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • + +
                                                    • Align Vector Health and Vector Research Operations strategies and activities;
                                                    • +
                                                    • Contribute to development and implementation of strategic/operational plans; and,
                                                    • +
                                                    • Other related duties as assigned.
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,feed-importer@jobboard.io,,,,2021-04-21T13:58:14.872Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/55002655-senior-manager-intelligent-automation-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,expired,2021-03-18T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, -8223d8f9-1a8d-4eac-a3d7-1f0c9fc0cdd8,55024078,Accenture,Data Visualization Consultant,on_site,"Ontario - Toronto,Quebec - Montreal",2021-03-18T21:25:11.444Z,"

                                                    Job Description

                                                    A Data Visionary—literally! As a digital business integration pro, you’re fascinated by data, no matter where it comes from. Your superpower? Leading data visualization efforts by creating crystal clear, compelling visualizations of data in clients’ standard platforms—then teasing out and sharing insights from that data. You have top-notch communication skills and you’re in your element managing projects and juggling priorities in a fast-paced setting where results are everything.

                                                    -

                                                    The Work:
                                                    • Build powerful, stand-out visualizations of process and business operations data
                                                    • Grasp users’ needs and translate them into business and technology solutions
                                                    • Consult on and help with the making of creative data visualization to give users the best experience possible
                                                    • Prototype and build new ideas and take part in all stages of the product lifecycle from research to release
                                                    • Help migrate users’ homegrown data visualization applications to enterprise standard
                                                    • Analyze “as is” and “to be” processes to define system/technology/business requirements
                                                    • Interact and iterate with business users to define, co-create and validate compelling Analytics applications or dashboards that drive value-add
                                                    • Be ready to rack up those air miles with weekly travel to client sites

                                                    READ MORE OF THE JOB DESCRIPTION

                                                    -

                                                    Qualifications

                                                    -

                                                    Here’s What You Need:
                                                    • Minimum of a bachelor's degree or equivalent (12 years minimum) of hands on data visualization experience
                                                    • Minimum 5 years' of full life cycle Development. Agile and waterfall delivery experience
                                                    • Minimum 5 years' of design or development experience with PowerBI, as well as experience with either Tableau or Qlik, and one or more of the following data visualization tools; Tableau, Spotfire, Qlik, ThoughtSpot, Business Objects and SAP Analytics Cloud
                                                    • Minimum of 2 year of data technology experience to include ETL tools (BODS, Informatica, Talend, Alteryx, Ab Initio, DataStage) or Data Modeling (Oracle, SQL Server, Teradata, SAP, Netezza) or other reporting tools such as Cognos, MicroStrategy, Business Objects
                                                    • Fluency in Design Thinking, Data Literacy and Storytelling
                                                    • Expertise in managing development of dashboards, scorecards and reporting visualizations

                                                    -

                                                    Bonus Points If:
                                                    • Certified in one or many of the technologies mentioned above
                                                    • Custom data visualization experience using Javascript, R, CSS, HTML5 and/or d3.js
                                                    • Scripting skills in Python, SAS and/or R or have integrated this type of statistical analysis tool with data visualization tools.
                                                    • Industry experience (financial services, resources, healthcare, government, products, communications, high tech)

                                                    -

                                                    Important information
                                                    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.

                                                    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

                                                    Equal Employment Opportunity
                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

                                                    -

                                                    Locations

                                                    Ontario - Toronto,Quebec - Montreal

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    -

                                                    Equal Employment Opportunity Statement

                                                    -

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    -

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    -

                                                    Requesting An Accommodation

                                                    -

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    -

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    -

                                                    Other Employment Statements

                                                    -

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    -

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00944101_en&title=Data+Visualization+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-04-08T21:30:06.093Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/55024078-data-visualization-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00944101_en&title=Data+Visualization+Consultant,expired,2021-03-18T21:25:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -fa8a737f-80e3-4a31-b18b-3919ed5555c3,55454028,BMO Financial Group,"Analyst, Diversity Analytics & Insights",on_site,"Toronto, ON, Canada",2021-03-22T15:23:22.678Z,"

                                                    Address:

                                                    -

                                                    176 Yonge Street

                                                    -

                                                    -

                                                    -

                                                    Job Family Group:

                                                    -

                                                    Data Analytics & Reporting

                                                    +

                                                    KEY SUCCESS MEASURES

                                                    -

                                                    The Analyst, Diversity Analytics & Insights provides analytical and data management capabilities to support the core diversity processes. This individual provides the fact-base for all diversity related presentations and assessments. They are accountable to gather, synthesize and communicate diversity data in way that supports the decision making process as we build diversity & inclusion programs.

                                                    -

                                                    This role will be the enterprise source for diversity management information including dashboards and general reporting. Due to the sensitive nature and the criticality of the information under the incumbent’s responsibility, this role requires a high level of attention to detail and accuracy.

                                                    +
                                                    • Successful and timely execution of all Health research contracts/agreements, as well as fund transfers.
                                                    +
                                                    • Implementation of health AI research projects across portfolio-wide research initiatives.
                                                    +
                                                      +
                                                    • Success and job satisfaction of direct and indirect reports in the execution of their roles.
                                                    • +
                                                    • Internal and external stakeholder feedback is such that the Vector Health team provides high-quality service and support through effective working relationships.
                                                    • +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                      -
                                                    • Acts as a trusted advisor to assigned business/group.
                                                    • -
                                                    • Leads the design, development, and implementation of analytic solutions.
                                                    • -
                                                    • Identifies emerging issues and trends to inform decision-making.
                                                    • -
                                                    • Recommends and implements solutions based on analysis of issues and implications for the business
                                                    • -
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • -
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • -
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • -
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • -
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • -
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • -
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • -
                                                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                                                    • -
                                                    • Automates validation tests to improve quality and efficiency of the validation process.
                                                    • -
                                                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                                                    • -
                                                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                    • -
                                                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                                                    • -
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • -
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • -
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • -
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • -
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • -
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • -
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • -
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • -
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • -
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • -
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • -
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • -
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • -
                                                    • Provides specialized consulting, analytical and technical support.
                                                    • -
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • -
                                                    • Works independently and regularly handles non-routine situations.
                                                    • -
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      Qualifications:

                                                      -
                                                    • -
                                                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • -
                                                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
                                                    • -
                                                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                    • -
                                                    • Verbal & written communication skills - In-depth.
                                                    • -
                                                    • Collaboration & team skills - In-depth.
                                                    • -
                                                    • Analytical and problem solving skills - In-depth.
                                                    • -
                                                    • Influence skills - In-depth.
                                                    • -
                                                    • Data driven decision making - In-depth.
                                                    • +
                                                    • Holds, at minimum, a graduate degree in a business, health, technical, or related field.
                                                    • +
                                                    • Experience successfully managing all operational aspects of a research program, ideally in the health and/or technology sector(s).
                                                    • +
                                                    • Demonstrated success with implementation of organizational efficiencies and effective business processes.
                                                    • +
                                                    • In-depth knowledge of the complexities of research contracts.
                                                    • +
                                                    • An understanding of the nature of health AI research and its potential to improve health services.
                                                    • +
                                                    • Adept at working with multidisciplinary stakeholders, prioritizing conflicting needs, managing limited resources, handling matters expeditiously, and following through on tasks to successful completion.
                                                    • +
                                                    • Possesses exceptional verbal and written English communication skills; effective in presenting to a diverse set of stakeholders from the business, health, and technology ecosystem.
                                                    • +
                                                    • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and motivated by continuous learning and the desire to make a difference and a real contribution to health AI.

                                                    +

                                                    Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    We’re here to help

                                                    -

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    +

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=114&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-01-11T16:37:00.000Z,False,0,10,59,https://talenthub.vectorinstitute.ai/jobs/45456836-director-health-research-operations-at-vector-institute,,expired,2020-12-28T18:37:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Director,Masters Degree,New Posting, +63fc3777-bf5b-40fe-8b4c-fc6669fdfee1,46006585,Ada,Back End Developer - Data Platform (Remote Available),on_site,"Toronto, ON, Canada",2021-01-04T15:49:20.446Z,"

                                                    We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
                                                    You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.

                                                    We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

                                                    As a Back End Developer on our Data Platform team, you'll be working with internal and external stakeholders to execute Ada’s Data Platform and Analytics roadmap in order to deliver business intelligence insights to both internal and external customers.
                                                    The Data Platform team is responsible for evolving our data architecture to a scalable and available real-time data streaming platform. The data architecture needs to support multiple users and needs, ranging from analytics pipelines to data warehousing to business intelligence tools and integrations with enterprise data systems.

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Diversity-Analytics---Insights_R210002048-1,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-09T18:02:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/55454028-analyst-diversity-analytics-insights-at-bmo-financial-group,,expired,2021-03-22T15:23:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -37d4d09e-52c5-4723-a343-2c19225b1e4c,55454042,Loblaw Companies Ltd.,"Sr. Data Engineering Analyst, Data Acquisition",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-03-22T15:27:08.182Z,"
                                                    -
                                                    -
                                                    -

                                                    Referred applicants should not apply directly to this role.

                                                    -

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    -

                                                    -

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Why is this role important?

                                                    -

                                                    The Data & Analytics team at Loblaw is hiring a Data Acquisition Sr. Analyst with experience in acquiring and developing data assets and data monetization. Reporting to the Sr. Manager, Data Acquisition, as part of Data, Insight & Analytics team, the incumbent will be responsible for executing the company’s data acquisition strategy. Data acquisition is a critical enterprise function and we are building a world class team that will help to transform the company.

                                                    The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                    What You'll Do

                                                    -
                                                      -
                                                    • Responsible for executing the technical strategy within data acquisition
                                                    • -
                                                    • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                    • -
                                                    • Test external data assets to ensure they meet the needs of internal stakeholders
                                                    • -
                                                    • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                    • -
                                                    • Create the proper controls and documentation to ensure compliance and ethical use of the acquired content
                                                    • -
                                                    • Data Privacy compliance
                                                    • -
                                                    • Ongoing relationship management of strategic third party acquired accounts
                                                    • -
                                                    • Subject matter expertise to data vendor landscape and data valuation.
                                                    • -
                                                    • Collaborate with the Legal organization to ensure proper usage
                                                    • -
                                                    • Support the day-to-day needs of business customers including the analytic organization
                                                    • -
                                                    • Managing projects from the starting point to the final execution
                                                    • -
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • -
                                                    -

                                                    What You'll Bring

                                                    -
                                                      -
                                                    • University degree in a business, data, programming, or analytic field of study (e.g. Math, Computer Science, Software Engineering, Business, Economics, Media, Finance)
                                                    • -
                                                    • 3+ years of experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                    • -
                                                    • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                    • -
                                                    • Data programming experience (SQL, python, APIs)
                                                    • -
                                                    • Experience with scheduling tools (cron, Airflow)
                                                    • -
                                                    • Linux experience
                                                    • -
                                                    • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                    • -
                                                    • Strong Communication and interpersonal skills
                                                    • -
                                                    • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of collaboration
                                                    • -
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • -
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • -
                                                    • Strong detail orientation is essential in this role
                                                    • -
                                                    • A Team player and self-starter
                                                    • -
                                                    -

                                                    What You Can Expect

                                                    We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    Other Perks Of Joining Loblaw

                                                    -
                                                      -
                                                    • Competitive compensation and benefits package
                                                    • -
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • -
                                                    • A flexible work environment which values balance
                                                    • -
                                                    • Colleague Discount Program
                                                    • -
                                                    • Tuition reimbursement Program
                                                    • -
                                                    • Employee Share Ownership plan
                                                    • -
                                                    • Pension Plan
                                                    • -
                                                    -

                                                    -

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    -

                                                    -

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    -

                                                    -

                                                    -

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-03-29T15:32:05.191Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/55454042-sr-data-engineering-analyst-data-acquisition-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,expired,2021-03-22T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -75299ba3-1337-4bd8-aaea-5fefcb142472,55454047,KPMG,"Manager/Senior Manager, Information, Data and Analytics",on_site,"Toronto, ON, Canada",2021-03-22T15:27:59.264Z,"

                                                    Job Description

                                                    -

                                                    Overview

                                                    -

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    +

                                                    About You:

                                                    +
                                                        +
                                                      • Minimum 3+ years of experience as a Back End Developer
                                                      • +
                                                      • Profound understanding of distributed cloud systems architecture and relevant technologies
                                                      • +
                                                      • Comfortable with any web stack (language and framework non-specific)
                                                      • +
                                                      • Strong understanding of non-relational databases such as MongoDB and in-memory stores such as Redis
                                                      • +
                                                      • Must have experience using APIs to build distributed cloud applications
                                                      • +
                                                    +

                                                    Outcomes:

                                                    +
                                                        +
                                                      • Execute on our ambitious data platform roadmap through the implementation of features
                                                      • +
                                                      • Provide expertise from past experiences to help level up our current development practices
                                                      • +
                                                      • Review the team’s code, provide insightful feedback, and teach everyone something new
                                                      • +
                                                    +

                                                    #LI-RD1
                                                    About Us
                                                    Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                                    Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

                                                    ",,https://jobs.lever.co/ada/b322b97b-a3b4-4cc8-b2e5-12db3d2f1736,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-01-11T16:29:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/46006585-back-end-developer-data-platform-remote-available-at-ada,,expired,2021-01-04T15:49:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +066ca5d3-852e-4808-9f2a-b7c85ec45cd1,49860888,Loblaw Companies Ltd.,Operational Insights Software Developer Co-op,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-02-04T14:37:37.554Z,"
                                                    +
                                                    +
                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    Operational Insights Software Developer Co-op (4mth)

                                                    +

                                                    WHY LOBLAW?

                                                    +

                                                    The Loblaw Supply Chain System Team supports Operations through the digitization and automation of process and reporting. With a plethora of data at your fingertips, you will play a role in ensuring our product – nearly 1billion units of it – makes its way from one of our 3,000 vendors, through one of our 27 distribution centers, to one of our 2,300 locations across Canada, and into the homes of millions of Canadians each year. How’s that for a challenge?

                                                    +

                                                    +

                                                    OPPORTUNITIES

                                                    +

                                                    Are you currently in an undergraduate program that is teaching you the skills required to be a Software Developer? Do you want to add relevant work experience coupled with strong industry knowledge, that will give you a competitive advantage over your classmates? Are you passionate about automation and digital transformation? The Supply Chain Systems Team is offering an exciting opportunity that will play to your unique set of strengths and arm you to tackle truly complex problems in your career;

                                                    +

                                                    +

                                                    ABOUT THE ROLE

                                                    +
                                                      +
                                                    • The candidate will have several key responsibilities, including:
                                                    • +
                                                    • Rapidly develop architecture, design, prototype and implement software solutions to tackle the Big Data needs in our connected network of operations.
                                                    • +
                                                    • Work with cross-functional teams to understand our customer needs and be able to conceptualize solutions, architect the underlying data connections, and design easy to use user interfaces with a focus on frequent usage.
                                                    • +
                                                    • Work closely with our colleagues in our Distribution Centers across Canada with a focus to improve and streamline user experiences with software & hardware.
                                                    • +
                                                    • Maintains accountability and is focused on results.
                                                    • +
                                                    • Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                                    • +
                                                    • Moderate travel required
                                                    • +
                                                    +

                                                    +

                                                    QUALIFICATIONS

                                                    +
                                                      +
                                                    • Working towards an undergraduate degree in Computer Science, Computer Engineering, Software Engineering or related fields.
                                                    • +
                                                    • Experience in and/or knowledge of programming languages such as Java, SQL, SAS, Python, SQL, or VBA; with the ability to learn new languages quickly
                                                    • +
                                                    • Experience with Oracle or Teradata databases, Dynamics 365 and Azure is an asset
                                                    • +
                                                    • Knowledge about low-code applications like Appian and Microsoft Power Platform is an asset
                                                    • +
                                                    • Exceptional Microsoft Office skills, including Microsoft Word, Microsoft Excel, Microsoft PowerPoint, with the ability to manipulate data, construct graphical reports, flowcharts and basic functions.
                                                    • +
                                                    • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                                    • +
                                                    • Ability to think through a problem and determine the appropriate solution based upon Supply Chain principles, logic and common sense.
                                                    • +
                                                    • Ability to work effectively in a team driven, fast paced environment to assess needs, provide assistance and resolve problems by using excellent problem-solving skills, verbal and written communication, and explaining technical concepts in layman’s terms.
                                                    • +
                                                    +

                                                    +

                                                    WHAT YOU’LL DO

                                                    +
                                                      +
                                                    • The candidate will be responsible for supporting the discovery, development and delivery of ongoing technological solutions to improve the competitive advantage of Loblaw through continuous business process improvements.
                                                    • +
                                                    • Effectively communicate customer needs and priorities for project planning, development, implementation, maintenance and support.
                                                    • +
                                                    • Use initiative and critical thinking to deal with concerns/issues/setbacks within projects.
                                                    • +
                                                    • Focuses on opportunities to improve and streamline user experiences with software & hardware.
                                                    • +
                                                    • Ensure in-depth analyses of business issues and project results are presented in a clear and concise format.
                                                    • +
                                                    • Analyze, clarify and present the technical components of business issues/needs in a clear and concise format and in a professional, diplomatic and timely fashion.
                                                    • +
                                                    • Excellent grasp of business process and operational workflow modeling.
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Temporary (Fixed Term)

                                                    +

                                                    Type of Contract:

                                                    Fixed Term

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Operational-Insights-Software-Developer-Co-op_R2000197679,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-15T14:42:42.363Z,False,0,6,11,https://talenthub.vectorinstitute.ai/jobs/49860888-operational-insights-software-developer-co-op-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Operational-Insights-Software-Developer-Co-op_R2000197679,expired,2021-02-04T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, +cc0659fb-99d8-4186-a217-33c20582ae22,49871644,Intact Financial Corporation,"Senior Data Scientist, Intact Lab",on_site,"Vancouver, BC, Canada",2021-02-04T18:08:12.101Z," + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                                    +

                                                    Are you a machine learning expert who is passionate about using advanced analytics and big data to make a real impact?

                                                    +

                                                    At the Intact Lab, we’re driven by a purpose to help people and we value the opportunity to use data, AI and machine learning to solve real-life customer and business problems. While we believe AI is still in its infancy, we continue to lead our industry and aim to become the best insurance AI shop in the world.

                                                    +
                                                    +
                                                    Your Job
                                                    +

                                                    As a Senior Data Scientist with the Intact Lab, you'll thrive as a technical expert, thought leader, and teacher with our diverse and highly skilled team. You'll leverage your expertise and knowledge of trends in analytics to make recommendations that solve complex problems and promote best practices across the organization. With the support of a passionate team, you will help create real value for both customers and teammates. Enjoy a work experience that promotes work-life balance with one of North America’s recognized best employers.

                                                    +

                                                    WHAT YOU’LL DO HERE

                                                    +
                                                      +
                                                    • Develop innovative solutions for trend recognition using machine learning and advanced statistics
                                                    • +
                                                    • Transform complex databases into relevant conclusions and recommendations
                                                    • +
                                                    • Keep pace with new approaches and trends and use them in your own solutions
                                                    • +
                                                    • Help maintain our data mining tools and platforms
                                                    • +
                                                    • Make actionable recommendations based on the findings
                                                    • +
                                                    • Work with other departments to promote the adoption of analytical principles within the organization
                                                    • +
                                                    • Validate the quality of the analytical approach and project outputs of the other team members
                                                    • +
                                                    +

                                                    Work location: Calgary or Vancouver

                                                    +
                                                    +
                                                    Your Skills
                                                    +

                                                    WHAT YOU BRING TO THE TABLE

                                                    +
                                                      +
                                                    • Your Master’s degree in a relevant discipline (mathematics, science, engineering, operational research, economics, statistics, AI, computer science or a related field)
                                                    • +
                                                    • Your 5 years of experience in the field of advanced statistics, data mining and text mining
                                                    • +
                                                    • A multi-platform production experience with the following commercial and open-source data mining frameworks:
                                                    • +
                                                    • Open-source frameworks: R, Python, GitHub
                                                    • +
                                                    • Expert-level understanding of the underlying theory of machine learning
                                                    • +
                                                    • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence
                                                    • +
                                                    • Your enthusiasm for teamwork
                                                    • +
                                                    • Your ability to focus on vaguely defined issues requiring the application of a creative approach
                                                    • +
                                                    • Your strong communication, time management and work organization skills
                                                    • +
                                                    +

                                                    Here, innovation is everyone’s job and you’ll have the opportunity to make your mark. In return, we promise you the support, opportunities and flexibility to do you life’s best work and be your best self.

                                                    +

                                                    Here are a few reasons why others have joined our team:

                                                    +
                                                      +
                                                    • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                    • +
                                                    • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                    • +
                                                    • Flexibility in how and where you work
                                                    • +
                                                    • A comprehensive financial rewards program that recognizes your success
                                                    • +
                                                    • An extensive, flexible benefits package
                                                    • +
                                                    • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                    • +
                                                    • A casual ‘dress for your day’ culture that encourages you to be yourself
                                                    • +
                                                    • A $350 annual wellness account that promotes an active lifestyle
                                                    • +
                                                    +
                                                    +
                                                    Closing Statement
                                                    +

                                                    We are an Equal Opportunity Employer

                                                    +

                                                    At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                    +

                                                    If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                    +

                                                    Background Checks

                                                    +

                                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                    +

                                                    Internal Candidates

                                                    +

                                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                    +

                                                    Eligibility to Work in Canada

                                                    +

                                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                    +
                                                    +
                                                    Referral Bonus
                                                    +

                                                    This role is eligible for employee referral bonus. #myReferrals3000

                                                    +
                                                    +

                                                    ",,https://careers.intact.ca/ca/en/job/IFCOUS12110/Senior-Data-Scientist-Intact-Lab,aimasters@vectorinstitute.ai,https://www.intactlab.ca/,,,2021-02-16T18:08:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/49871644-senior-data-scientist-intact-lab-at-intact-financial-corporation,,expired,2021-02-04T18:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +64144da1-80ca-493e-8e3f-54cfc1f2cfd4,50289901,BMO Financial Group,Digital Analytics Implementation Specialist,on_site,"Toronto, ON, Canada",2021-02-08T14:35:24.296Z,"

                                                    The Digital Analytics Implementation Specialist will implement measurement capabilities across BMO’s digital properties to drive deep insights of performance and customer behaviours. Provides advice on the configuration, functionality, applicability, and usability for technology solutions relating to data management, analytics, and visualization

                                                    +
                                                      +
                                                    • Implement, maintain and recommends analytics solutions for digital marketing analytics, reporting and analysis.
                                                    • +
                                                    • Defines business requirements for analytics and reporting to ensure data insights inform business decision making.
                                                    • +
                                                    • Work closely with development teams to ensure that requirements and data layer has all the elements properly exposed in order to execute analytics tags.
                                                    • +
                                                    • Maintains up-to-date analytics implementation documentation for the data layer, analytics tracking. tags, advertising vendor tags, and automated tag audit libraries.
                                                    • +
                                                    • Ensures data alignment across multiple reporting suites (eVars, props, events).
                                                    • +
                                                    • Actively participates in the design, implementation, and management of new analytics and reporting solutions and provides advice and guidance to assigned business / group on implementation of solutions ensuring alignment of business needs and data requirements between stakeholders.
                                                    • +
                                                    • Develop relationships with key partners across the enterprise and acts as the subject matter expert for internal/external stakeholders.to refine, prioritize, and optimize the digital analytics implementation roadmap.
                                                    • +
                                                    • Develops and manages implementation projects and their properties in tag managers; designs initiatives to improve processes, analysis and reporting (e.g., data layer, JavaScript libraries, etc).
                                                    • +
                                                    • Automates validation tests to improve quality and efficiency of the existing internal validation processes.
                                                    • +
                                                    • Builds effective relationships with internal / external stakeholders.
                                                    • +
                                                    • Maintains tagging libraries that support detailed digital optimization.
                                                    • +
                                                    • Documents and maintains analytical and reporting operational procedures and processes.
                                                    • +

                                                    -

                                                    When you join KPMG, you’ll be one of over 219,000 professionals providing audit, tax, advisory and business enablement services across 147 countries.

                                                    +

                                                    Qualifications:

                                                    +
                                                      +
                                                    • 3+ years’ experience in digital analytics implementations through utilization of tag management tools using Adobe and Google analytics.
                                                    • +
                                                    • Post-graduate degree in business, engineering, computer science or related discipline.
                                                    • +
                                                    • Expert knowledge with core JavaScript, HTML, CSS and modern framework (AngularJS, React, etc.).
                                                    • +
                                                    • Experience with data preparation and data analysis.
                                                    • +
                                                    • Solid knowledge of testing tools “ObservePoint “and “Charles Web Debugging Proxy”.
                                                    • +
                                                    • Experience with Adobe Target and Adobe Audience Manager.
                                                    • +
                                                    • Strong knowledge of Adobe Mobile Services, Adobe Mobile SDK Tools.
                                                    • +
                                                    • Experience with digital measurement tools across multiple channels (e.g. web, social media, mobile, email, search).
                                                    • +
                                                    • Experience with SQL Queries and Adobe Experience Cloud APIs.
                                                    • +
                                                    • Experience using JIRA, Teams, Confluence.
                                                    • +
                                                    • Excellent verbal & written communication skills.
                                                    • +
                                                    • Excellent Analytical and problem-solving skills.
                                                    • +
                                                    • Collaboration & team skills; with a focus on cross-group collaboration.
                                                    • +
                                                    • Exceptional organizational and time management skills and a demonstrated ability to prioritize work in a demanding environment.
                                                    • +
                                                    • Excellent data driven decision making.
                                                    • +

                                                    -

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    -

                                                    The opportunity:

                                                    +

                                                    We’re here to help

                                                    -

                                                    KPMG’s Management Consulting practice helps organizations leverage change. The Information, Data and Analytics team helps organizations leverage their data and information for competitive benefits and advantages by developing and optimizing their data governance, data management and data analytics programs and services, helping them transform their organization by leveraging emerging technologies.

                                                    The Information, Data and Analytics team is part of the Technology Strategy and Digital Transformation Service Line, which works with various organizations, both private and public. This multidisciplinary and multilingual team includes individuals with training and skills in information management, data management, metadata management, data engineering, analytics, data science, process re-engineering and architecture. We help our clients to digitally transform their business.

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    We are looking to fill Manager and Senior Manager positions, in various locations across Canada, though you will be asked to work on projects outside your local office. We are a dynamic and innovative team and equally passionate about what we do and the quality of services we provide to our clients.

                                                    -


                                                    What you will do

                                                    -

                                                    The successful candidate will lead various projects in data management, information management, data/information governance, information process and flow mapping, data optimization, data classification, development and implementation of master data or metadata management programs, and/or multidisciplinary team participating in digital transformation projects.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    The successful candidate will have a range of responsibilities, including:

                                                    +

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    +

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Analytics-Implementation-Specialist_R200014327,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-03-10T14:35:25.670Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/50289901-digital-analytics-implementation-specialist-at-bmo-financial-group,,expired,2021-02-08T14:35:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +67405f14-3b4a-4b52-93d3-67d0cdbfdbbf,50289910,Loblaw Companies Ltd.,Cloud Infrastructure Operations Analyst,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-02-08T14:37:24.809Z,"
                                                    +
                                                    +
                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    +

                                                    If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    +

                                                    +

                                                    The Data & Analytics team at Loblaw is hiring a Cloud Infrastructure Operations Analyst to set up, deploy and support Big Data infrastructure in our cloud. Responsibilities include:

                                                      -
                                                    • Identifying and leading the preparation of proposals, in collaboration with the Partner
                                                    • -
                                                    • Planning and managing engagements under the leadership of the Partner
                                                    • -
                                                    • Building relationships with clients and their teams
                                                    • -
                                                    • Leading client meetings and supporting the team in developing presentation materials for project kick-off meetings, requirements gathering, project management, presentation of results, etc.
                                                    • -
                                                    • Leading current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks.
                                                    • -
                                                    • Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling.
                                                    • -
                                                    • Supporting and guiding clients in implementing recommendations.
                                                    • -
                                                    • Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc.
                                                    • -
                                                    • Delivering high-quality work on time that meets the Firm’s quality standards and client expectations.
                                                    • -
                                                    • Working with cross-functional teams with people of diverse backgrounds and skill sets.
                                                    • -
                                                    • Applying best practice and process maturity knowledge observed in client engagements and personal research.
                                                    • +
                                                    • Participate in design and architecture discussions
                                                    • +
                                                    • Daily administration of cloud and on-prem systems
                                                    • +
                                                    • Work on Changes, Incidents, Releases and Problems
                                                    • +
                                                    • Be passionate and excited about your work
                                                    • +
                                                    • Work with equally passionate and excited people
                                                    • +
                                                    +

                                                    +

                                                    What You'll Bring:

                                                    +
                                                      +
                                                    • 5+ Years Linux Administrator
                                                    • +
                                                    • 3+ Years Cloud administration (GCP, Azure, AWS)
                                                    • +
                                                    • Excellent communication skills
                                                    • +
                                                    • With a strong understanding of:
                                                        +
                                                      • Infrastructure as code (Teraform)
                                                      • +
                                                      • Networking skills (connectivity, firewall, protocols, etc)
                                                      • +
                                                      • IT Config Management tools (Salt, Ansible, Puppet)
                                                      • +
                                                      • Code Management tools (Github, Bitbucket)
                                                      • +
                                                      • Bash and Python scripting
                                                      • +
                                                      • Installing and setting up Databases (Postgres, MySQL)
                                                      • +
                                                      • Ticketing systems (ServiceNow, Jira)
                                                      • +
                                                      • IT Security Best Practices
                                                      • +
                                                      +
                                                    • +
                                                    +

                                                    +

                                                    What You Can Expect:

                                                    +

                                                    We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    +

                                                    Other perks of joining Loblaw:

                                                    +
                                                      +
                                                    • Competitive compensation and benefits package
                                                    • +
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • +
                                                    • A flexible work environment which values balance
                                                    • +
                                                    • Colleague Discount Program
                                                    • +
                                                    • Tuition reimbursement Program
                                                    • +
                                                    • Employee Share Ownership plan
                                                    • +
                                                    • Pension Plan
                                                    +

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Infrastructure-Operations-Analyst_R2000198290,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-11T14:43:09.048Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/50289910-cloud-infrastructure-operations-analyst-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Cloud-Infrastructure-Operations-Analyst_R2000198290,expired,2021-02-08T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +1a369340-35dd-4b77-94bb-9b27014b2d1b,50522634,Roche,Global Analytics Solution Leader,on_site,"Mississauga, ON, Canada",2021-02-10T15:19:36.143Z,"

                                                    Title: Global Analytics Solution Leader

                                                    +

                                                    Department: Pharma Technical Supply Chain- Data & Analytics

                                                    +

                                                    Location: Mississauga, ON Canada

                                                    -

                                                    It is highly probable that the incumbent will be required to travel within Canada as part of his/her duties. At times, business needs arise, and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need time to devote to personal matters, and our approach to flexibility provides for this.

                                                    -


                                                    What you bring to the role

                                                    +

                                                    The Pharma Technical (PT) Analytics Hub has a key role in driving and enabling Analytics and Data Science across the organization, delivering priority projects, advancing the analytical maturity of the organization, and creating a data driven strategy. This is an innovative newly created team to develop innovative analytical solutions and processes for our company in an environment where the worlds of business, creativity, and technology intersect.

                                                    +

                                                    +

                                                    Summary:

                                                    +

                                                    As a Leader in the newly formed PT Global Analytics Hub, the Analytics Solution Leader will lead the design and execution of next generation analytical solutions. Realizing organizational priorities, generating programs of actionable insights, and driving data and analytical capability by leveraging advanced analytics and utilizing cloud technologies.

                                                    +

                                                    +

                                                    Not a hands-on technical developer role, however familiarity and comfort with modern technologies and patterns is essential, including: Cloud-based data & analytics platforms, Big Data analytics, predictive analytics and modeling, AI and machine learning.

                                                    +

                                                    +

                                                    In this role, you will provide best-fit architectural solutions for one or more projects, creating the vision, defining scope and anchoring proof of concept developments.

                                                    +

                                                    +

                                                    Responsibilities:

                                                      -
                                                    • 6+ years of relevant professional experience in data management, information management, analytics and/or data engineering
                                                    • -
                                                    • Experience classifying, defining or profiling data.
                                                    • -
                                                    • Strong understanding of data and business processes.
                                                    • -
                                                    • Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM.
                                                    • -
                                                    • Experience and/or certification with Data and Information Platforms such as Microsoft O365, Azure, AWS, Snowflake etc.
                                                    • -
                                                    • Professional experience in the financial or insurance industry, an asset.
                                                    • -
                                                    • Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset.
                                                    • -
                                                    • Knowledge and experience with various governance or data management tools (Collibra, Informatica, IGC, etc.), an asset.
                                                    • -
                                                    • Any data and/or information certifications are of benefit and should be identified.
                                                    • -
                                                    • University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related field
                                                    • +
                                                    • Define, own, and drive projects delivering analytics and technology architecture. Provide solution designs to direct project execution teams for implementation.
                                                    • +
                                                    • Manage and drive large cross functional projects involving SME's and partners at all levels of the organization
                                                    • +
                                                    • Provide strategic data and analytics architectural assessments, strategies, and roadmaps for one or more areas of focus.
                                                    • +
                                                    • Lead projects from a solution architecture, vision, and value point of view. Work with Product Owner/Business Analysts to define and understand the expected value, as well as the functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.
                                                    • +
                                                    • Establish the appropriate and relevant analytics vision, architecture, and program, and drive a common vision, practices and capabilities across teams.
                                                    • +
                                                    • Engage with business stakeholders to understand their needs and capabilities, integrating business knowledge with technical solutions.
                                                    • +
                                                    • Engage with technical architects and IT functions to determine the most appropriate technical strategy and designs to meet business needs.
                                                    • +
                                                    • Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change.
                                                    • +
                                                    • Bypass roadblocks created by standard Roche processes to effectively try new ideas and ways of working, through effective stakeholder management to deliver results in short periods of time
                                                    • +
                                                    • Support the effort to build a collaboration network within Roche for Analytics and Cloud Technology related topics, ensuring regular exchange
                                                    • +
                                                    • Act as a role model for analytics best proactive and digital transformation, proactively coaching colleagues into the concepts
                                                    -

                                                    Keys to your success:

                                                    +

                                                    +

                                                    Qualifications:

                                                    +

                                                    +

                                                    Roche is looking for enthusiastic solution leaders and visionaries, who enjoy solving tough industry and technical problems, and designing and building tools, which elevate the efficiency and effectiveness of operational processes, informed strategy, and enable optimal customer experience.

                                                    +

                                                    The role requires strong communication and interaction skills with a keen ability to present a message and point of view, and the ability to influence and lead at all organizational levels, including senior leadership. With an internal consultant approach, the Analytics Solution Leader must have a deep understanding of project management best practice and proven experience in finding the optimum balance of an agile and yet robust approach to driving a project from initial vision and requirements generation and all the way through to completion and delivery.

                                                      -
                                                    • Ability to work independently with minimal supervision as well as work effectively within a multi-disciplinary team.
                                                    • -
                                                    • Superior verbal and written interpersonal communication skill.
                                                    • -
                                                    • Excellent client service skills.
                                                    • -
                                                    • Well organized with good prioritization/workload management abilities.
                                                    • -
                                                    • Professional discipline and importance of outstanding work.
                                                    • -
                                                    • Commitment to self-learning and continuous skill and professional knowledge development.
                                                    • -
                                                    • Professional curiosity.
                                                    • +
                                                    • BS/MS/Ph.D Degree in Data Science, Business, Computer Science or similar.
                                                    • +
                                                    • 5+ Years proven experience in Project Leadership of cross-functional initiatives.
                                                    • +
                                                    • 10+ years experience in Analytics / Data Science.
                                                    • +
                                                    • Fluent and current on analytics tools and data architecture trends with an eye on market/technical conditions and future direction.
                                                    • +
                                                    • Demonstrate behaviours of VACC as a leader (Visionary, Architect, Coach, Catalyst)
                                                    • +
                                                    • Superior verbal and written communication skills with the ability to present and sell solutions/concepts to other architects and to business users and stakeholders.
                                                    • +
                                                    • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization).
                                                    • +
                                                    • Experience in a professional services / consulting firm is an asset.
                                                    • +
                                                    • Strong Project Management understanding and recognition of PMBOK best practices.
                                                    • +
                                                    • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                                                    • +
                                                    • Self-driven and proactive, comfortable to deliver as a team leader, team member and individual contributor
                                                    • +
                                                    • Ability to effectively communicate and influence others across ALL levels of the organization in order to drive transformational change
                                                    • +
                                                    • Knowledge in big data, advanced analytics, business intelligence platforms and other high tech macro trends.
                                                    • +
                                                    • Financial and Business Acumen including business case development
                                                    • +
                                                    • Knowledge of: SCRUM, Agile Methodologies, Change Management, Project Management.
                                                    • +
                                                    • Significant experience in defining new solution architectures and ability to drive an independent project from an architectural standpoint.
                                                    • +
                                                    • Highly proficient in authoring, editing and presenting both business and technical documents.
                                                    • +
                                                    • Ability to elicit requirements and communicate clearly with non-technical individuals, development teams, and other ancillary project members.
                                                    • +
                                                    • Excellent problem-solving skills.
                                                    • +
                                                    • Mobility: Ability to travel up to 30%
                                                    -

                                                    Learn more about where a career at KPMG can take you.

                                                    -


                                                    Our Values, The KPMG Way

                                                    ",,https://careers.kpmg.ca/professionals/jobs/7452?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-04-21T15:28:00.752Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/55454047-manager-senior-manager-information-data-and-analytics-at-kpmg,,expired,2021-03-22T15:27:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, -932bfc0e-b1c6-4a68-b6cb-747f065c2d5d,55454509,Borealis AI,Product Manager,on_site,Toronto,2021-03-22T15:39:43.349Z,"

                                                    What's the opportunity?

                                                    As a member of the Product Management team, you’ll get a chance to build innovative AI products for the financial industry and beyond through a deep understanding of our AI capabilities applied to real-world scenarios. You’ll be responsible for turning research into full-fledged products and will work closely with the business development, engineering, and research teams to deeply understand the problem space and define compelling products.

                                                    -

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                                    Your responsibilities include:

                                                    • Defining both short and long-term product strategy and roadmaps;
                                                    • Defining and delivering MVPs based on research, then scaling this out into full-fledged products;
                                                    • Writing detailed functional specs so the team is aligned on what we are delivering and what success looks like;
                                                    • Developing epics and user stories and prioritizing the product backlog with the engineering team;
                                                    • Collaborating across research, engineering and business development teams to scope and deliver world-class AI products;
                                                    • Guiding ideas from concept-to-experimentation-to-product.
                                                    • -

                                                    You're our ideal candidate if you:

                                                    • Have a technical degree (CS/Engineering);
                                                    • Are continually curious and empathetic about customers and are driven to build great products for them;
                                                    • Are excited about digging into technical details;
                                                    • Are analytical in your problem-solving approach;
                                                    • Have a track record of thorough delivery;
                                                    • Can wade through ambiguity to define clear objectives for a product;
                                                    • Are great at collaborating across a spectrum of stakeholders, from business partners to researchers to engineers;
                                                    • Have enthusiasm for learning about machine learning and AI (Bonus points if you have worked in this area).
                                                    • -

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • -

                                                    How to apply:

                                                    Please email your resume and cover letter to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-04-21T16:13:00.000Z,False,1,0,30,https://talenthub.vectorinstitute.ai/jobs/55454509-product-manager-at-borealis-ai,,expired,2021-03-22T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Manager,Bachelors Degree,Re-Posting an Expired Job, -3d9206dd-c7f5-454b-83b2-933269196889,55461406,CIBC,Sr. Data Scientist,on_site,"Toronto, ON, Canada",2021-03-22T20:38:01.905Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    +

                                                    Qualified candidates are encouraged to submit cover letter and resume no later than February 16, 2021.

                                                    +

                                                    +

                                                    This position is not eligible for relocation support.

                                                    +

                                                    This position is open to applicants legally authorized to work in Canada.

                                                    +

                                                    +

                                                    NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                    +

                                                    Roche is an equal opportunity employer and prohibits unlawful discrimination based upon any legally protected ground. Roche will make a good faith effort to accommodate the individual needs of applicants with disabilities in our recruitment process

                                                    +

                                                    +

                                                    AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                    ",,https://roche.wd3.myworkdayjobs.com/en-US/roche-ext/job/Global-Analytics-Solution-Leader_202101-102208,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-02-22T16:49:00.000Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/50522634-global-analytics-solution-leader-at-roche,,expired,2021-02-10T15:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +c4125ed5-df61-4271-bc9e-e00b13db2c14,50737691,CIBC,DevOps Automation Developer,on_site,"Toronto, ON, Canada",2021-02-11T14:31:41.812Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    @@ -20964,75 +20396,52 @@ fa8a737f-80e3-4a31-b18b-3919ed5555c3,55454028,BMO Financial Group,"Analyst, Dive

                                                    Job Description

                                                    -

                                                    What You’ll Be Doing

                                                    +

                                                    What You’ll Be Doing

                                                    -

                                                    The Data & Analytics team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                    -

                                                    You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                    +

                                                    You’ll be a key part of an innovative, “first to market” technology culture, contributing to CIBC’s digital transformation journey. As C# Automation Developer you will help accelerate our transformation and optimize the way we develop and deliver code to ultimately bring high value to our clients. Your passion around delivering high quality products through continuous optimization and automation will help the performance of our applications; cultivate a high performing team environment. You will collaborate with partners in application development, quality assurance, operations, infrastructure, and business partners across various technology groups to deliver high quality products.

                                                    How You’ll Succeed

                                                    • -Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.
                                                    • +DevOps Champion – Drive, design, develop, implement, and maintain deployment automation from code check-in to production. As a change agent, promote an optimized and simplified lifecycle experience for our internal/external partners throughout the entire deployment pipeline. Collaborate with teams using agile and DevOps principles with a strong focus on cultural and people change management. Continuously improve software engineering practices within your team utilizing your passion for automation technology.
                                                    • -Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.
                                                    • +Continuous Integration & Deployment (CI/CD) – Interact with various delivery teams to take code from development to production and ensure excellent performance, stability, reliability and increase flow. Ensure software configuration management (SCM) and infrastructure tools, such as GitHub, Jenkins, Azure Devops(ADO), Artifactory, TFS, VSTS, Jira, and Confluence, are current, reliable and operational. Support application development/operations projects by priming, executing and troubleshooting SCM activities such as source control, build, packaging, deployment, and code quality reporting.
                                                    • -Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.
                                                    • +Experimentation and Innovation – Challenge the status quo, look for opportunities to improve and optimize the delivery process. Increase our production monitoring and infrastructure automation capabilities.

                                                    Who You Are

                                                    • -You have an advanced degree in a scientific or quantitative field
                                                    • -
                                                    • -You have minimum of 3 year experience in industry or research
                                                    • -
                                                    • -You enjoy the challenge of leading engagements and coaching junior team members
                                                    • -
                                                    • -You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.
                                                    • -
                                                    • -You have strong communication skills and an ability to present complex concepts clearly.
                                                    • +You can demonstrate experience with: Designing and implementing high quality software (ideally 3+ years) using C#/.Net, .Net Core,RESTful API and are well versed with application Automation (testing/production monitoring/flow/failure recovery etc.). This role requires someone with a pulse on innovative technology, including extensive scripting (PowerShell, Batch) experience within a Windows environment. Expertise with SQL Server and SSIS/SSRS/SSAS is also required. It’s an asset if: You have knowledge of TDD and you can demonstrate experience working in an Agile environment as well as DevOps and CICD (Continuous Integration Continuous Development).
                                                    • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                    • +You have a degree/diploma in Computer Science, SW Engineering/or related programming degree/diploma.
                                                    • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • +You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                    • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                    • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • -You have extensive knowledge of:
                                                        -
                                                      • Programming in Python
                                                      • -
                                                      • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)
                                                      • -
                                                      • Writing queries in SQL and working with data warehouses including Hive and Impala
                                                      • -
                                                      • ML/AI Frameworks (Tensorflow, Pytorch)
                                                      • -
                                                      • Software development and testing
                                                      • -
                                                      -
                                                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • -Also beneficial:
                                                        -
                                                      • Knowledge of data visualization tools such as Tableau
                                                      • -
                                                      • Knowledge of NLP and associated toolkits (nltk, spaCy)
                                                      • -
                                                      • Understanding of Docker and Kubernetes
                                                      • -
                                                      • Exposure to big data frameworks (PySpark, SparkML)
                                                      • -
                                                      • Use of Flask to create APIs
                                                      • -
                                                      • Familiarity with Linux command line
                                                      • -
                                                      • Exposure Microsoft Azure cloud platform
                                                      • -
                                                      -
                                                    • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                    +

                                                    *The successful candidate for this role may be on call at times, and required to be accessible 24/7

                                                    +

                                                    What CIBC Offers

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                    What You Need to Know

                                                    @@ -21040,1515 +20449,1137 @@ fa8a737f-80e3-4a31-b18b-3919ed5555c3,55454028,BMO Financial Group,"Analyst, Dive
                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                  • -",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Data-Scientist_2105155,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-29T17:38:00.000Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/55461406-sr-data-scientist-at-cibc,,expired,2021-03-22T20:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -adc58e10-b22d-4939-9630-516c3328c296,55693450,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Toronto, ON, Canada",2021-03-24T14:26:16.823Z,"

                                                    (This position is open to a varying level of seniority)

                                                    + +

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/DevOps-Automation-Developer_2016113-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-22T16:51:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/50737691-devops-automation-developer-at-cibc,,expired,2021-02-11T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +6a2c1420-5707-4d34-a617-c995ac367273,50737696,CIBC,Senior Automation Architect,on_site,"Toronto, ON, Canada",2021-02-11T14:33:04.107Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    Are you excited about working at the forefront of Information Retrieval and Natural Language Processing and applying state-of-the-art methods to challenging business problems? Thomson Reuters Labs in Toronto is seeking an Applied Research Scientist with a passion for solving problems using state-of-the-art Information Retrieval, Natural Language Processing and Machine Learning techniques.

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    What does Thomson Reuters Labs do? We experiment, we build and deliver. We support the organization and our customers through applied research and the development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    As an Applied Research Scientist, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, Machine Learning and Engineering & Design to drive Thomson Reuters Digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful Artificial Intelligence projects allowing us to expand and advance state-of-the-art to support high growth products that serve Thomson Reuters customers in new and exciting ways.

                                                    +

                                                    Job Description

                                                    -

                                                    About the role

                                                    -

                                                    In this opportunity as an Applied Research Scientist, you will:

                                                    +

                                                    What You’ll Be Doing

                                                    +

                                                    As a Senior Automation Consultant, you will join CIBC’s Personal & Small Business Technology (PSBT) team to drive quality, centralize and standardize our QA processes, and accelerate the deployment of QA Automation and agile-adoption across the technology team. You will be responsible for development and support of processes, practices and solutions necessary to produce quality products/services and manage risk by ensuring that enterprise processes are followed and comply with CIBC policies and standards.

                                                    +

                                                    +

                                                    How You’ll Succeed

                                                    • -Experiment and Develop: You will be involved in the entire model development life cycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.
                                                    • -
                                                    • -Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
                                                    • +Continuous Improvement & Best Practices: Improve QA Automation processes through continuous innovation, provide recommendations / solutions. Advocate for industry best practices, delivery methodologies, automation, QA AI and ML Capabilities, tools, etc.
                                                    • -Delivery: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope, be accountable for end-to-end deliveries, and deliver solutions against strict timelines.
                                                    • +Analysis & Recommendations: Conduct analysis on existing automation and QA tools and provide recommendations. Benchmark the PSBT’s test maturity against industry standards and develop actionable plans to address gaps and opportunities. Prioritize goals and quick wins based on value, stakeholder and enterprise priorities
                                                    • -Innovate: Our problems are complex; our solutions are right-sized. You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas and create new solutions to solve real-world challenges.
                                                    • -
                                                    • -Inspire: You are a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will lead the way in the adoption of AI across the enterprise.
                                                    • +Project Management: Manage medium to large work packages simultaneously. Identify obstacles or risks that may impact a project’s timeline or success and provide regular status updates to the business. Keep the lines of communication open with stakeholders, and escalate issues when necessary.
                                                    -

                                                    -

                                                    About you

                                                    -

                                                    Here is our wish list. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

                                                    +

                                                    Who You Are

                                                      -
                                                    • Have a Ph.D. in Computer Science, Engineering, Statistics, Mathematics, or other data-heavy disciplines, or a Masters degree in those fields with 3 years of research or industry experience.
                                                    • -
                                                    • Have deep understanding and experience with Information Retrieval, Natural Language Processing, and/or Machine Learning methods, including Deep Neural Networks.
                                                    • -
                                                    • Are proficient in one or more programming languages (preferably Python, Java, or Scala) and have familiarity working in the Cloud (preferably AWS)
                                                    • -
                                                    • Have experience with open-source libraries such as PyTorch, TensorFlow, spaCy, sci-kit learn, and Lucene.
                                                    • -
                                                    • Have 2 to 8 years of academic or industry experience building IR/NLP/ML systems with the ability to translate cutting edge research into working applications (we are hiring for multiple roles with a varying level of seniority)
                                                    • -
                                                    • Have publications in relevant conferences and workshops (ACL, EMLNP, SIGIR, NeurIPS, KDD, etc.)
                                                    • -
                                                    • Understand and apply agile development best practices
                                                    • -
                                                    • Have experience working in a fast-paced environment to deliver minimum viable products
                                                    • -
                                                    • Are comfortable working with large unstructured datasets and knowledgeable about tools and techniques for processing data at scale
                                                    • -
                                                    • Excel at communication, project management, reproducible research, and data analysis
                                                    • -
                                                    • Demonstrate the ability to translate complex business and customer challenges into research hypotheses and well-structured project plans
                                                    • +
                                                    • +You can demonstrate experience in: 5+ years of experience in an Automation Consultant/ Architect level role with a strong understanding of the SDLC. You have knowledge of process improvement, change management, quality management methods, Agile delivery, as well as, IT standards, procedures and policies. You have expertise in Selenium, UFT, LeanFT tools, programming languages such as Java, C#/.Net, API testing and automation tools (PARASOFT SOA, SOAP UI). Should be well versed with SQL DB. Experience in Virtualization (IBM RIT, PARASOFT etc. virtualization tools) will be an asset to have. Leading QA Programs and teams through automation delivery. You have strong written and verbal communication skills, as well as, excellent leadership skills with the ability to impact decisions within and outside the organization.
                                                    • +
                                                    • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do.
                                                    • +
                                                    • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
                                                    • +
                                                    • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
                                                    • +
                                                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • +
                                                    • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                    -

                                                    What's in it for you

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                    +

                                                    What CIBC Offers

                                                    +

                                                    Joining CIBC means becoming part of a team that is empowered and encouraged to act like owners, and to do the right thing for the client, every time. We’re a diverse community, operating in an environment that acknowledges our employees’ unique talents, contributions and accomplishments.

                                                    • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology
                                                    • -
                                                    • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                    • +Thrive in a world of flexibility and enablement
                                                    • -Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans
                                                    • +Connect as a diverse team and make innovation happen
                                                    • -Perks: Social events & activities, employee discount programs
                                                    • +Develop through ongoing learning and growth: Broaden your technical knowledge and expertise through collaboration
                                                    • -Social Impact: Paid time off for volunteering virtually or in your community
                                                    • +Prosper through our collective success: Competitive salary, incentive pay, banking benefits, health benefit program, and employee share purchase plan

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Applied-Research-Scientist---NLP_JREQ142757?SourceID-APPLICANT_SOURCE-3-713,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-04-23T14:26:28.604Z,True,0,15,154,https://talenthub.vectorinstitute.ai/jobs/55693450-applied-research-scientist-nlp-at-thomson-reuters,,expired,2021-03-24T14:26:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,PhD,New Posting, -90624013-580e-486d-a99d-6bc733950f1d,55842207,Deloitte,"Manager, Cyber Security, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-25T15:40:01.125Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -

                                                    As a Manager of Cyber Security clients will want you at the helm of any large project because you can be counted on to deliver top quality..You coach and develop the next generation of cyber security talent – the best talent comes to Deloitte because they want to work for you and on your projects.

                                                    +

                                                    What You Need to Know

                                                    +
                                                      +
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                    • +
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Automation-Consultant_2101530,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-22T16:43:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/50737696-senior-automation-architect-at-cibc,,expired,2021-02-11T14:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +015140c3-aa9d-4d24-a45f-8235f4cb0fb9,50744019,BenchSci,Software Engineer - Data Pipeline,full,Toronto or Remote (Canada) /,2021-02-11T14:54:50.491Z,"
                                                    +
                                                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                    +

                                                    +
                                                    We are currently seeking a Software Engineer to join our growing Data Pipeline Team! Reporting to the Engineering Manager, you will work on evolving our data models in several styles of datastores, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you’ll have an opportunity to collaborate with a world-class team, experience growth and mentorship, and apply state-of-the-art data engineering solutions that will shape the future of scientific discovery.
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    +
                                                    +

                                                    You Will:

                                                    +
                                                        +
                                                      • Scale data pipelines to allow data to go from research to platform as fast as possible
                                                      • +
                                                      • Develop data access mechanisms for downstream applications consumption
                                                      • +
                                                      • Manage sources which contain both semi-structured as well as unstructured data
                                                      • +
                                                      • Develop and apply suitable frameworks to detect data drift, and then calibrate and redeploy them to production seamlessly
                                                      • +
                                                      • Collaborate closely with other engineers to solve interesting and challenging data problems
                                                      • +
                                                      • Provide troubleshooting analysis and resolution in a timely manner
                                                      • +
                                                      • Have opportunities to work both independently and in pair-programming settings
                                                      • +
                                                      • Work with a highly collaborative team
                                                      • +
                                                      • Be given an unmatched opportunity for growth and development, and to learn from a team of outstanding engineers
                                                      • +
                                                      • Manage your code by troubleshooting, debugging, and fixing issues
                                                      • +
                                                      • Design testable, scalable solutions to complex problems using the latest frameworks and tools
                                                      • +
                                                      • Feel challenged and engaged as you’re exposed to new opportunities that will require you to push yourself
                                                      • +
                                                    +
                                                    +
                                                    +

                                                    You Have:

                                                    +
                                                        +
                                                      • 3+ years working as a professional developer
                                                      • +
                                                      • Experience in Python
                                                      • +
                                                      • Experience with SQL
                                                      • +
                                                      • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                      • +
                                                      • Experience with Spark 2.x or Pandas
                                                      • +
                                                      • Eagerness to share your own ideas and openness to those of others
                                                      • +
                                                      • An interest in working with the latest tools and technologies available
                                                      • +
                                                      • The desire to see constant improvement in both yourself and your team
                                                      • +
                                                    +
                                                    +
                                                    +

                                                    Nice to haves, but not mandatory qualifications:

                                                    +
                                                        +
                                                      • A background in Life Science
                                                      • +
                                                      • Experience with Kubernetes in production
                                                      • +
                                                    +
                                                    +
                                                    +

                                                    Our benefits and perks:

                                                    +
                                                        +
                                                      • A compensation package that includes equity options in the company
                                                      • +
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • +
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                      • +
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • +
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • +
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • +
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • +
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • +
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • +
                                                      • A great benefits package: Including health and dental
                                                      • +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    +
                                                    Here at BenchSci, these are our core values:
                                                    +

                                                    -

                                                    Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    AI Factory team within our Omnia AI group is where we build solutions that combine business intelligence with the power of AI. The AI Factory is where strategy meets intelligent design. We coordinate and synthesize the power of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine-learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    +Focused: We focus on what will drive the greatest impact at all times.
                                                    -

                                                    You are someone with:

                                                    -

                                                    • Demonstrated experience in cyber security domains with experience in security operations and technical threat management functions preferred.
                                                    • 7+ years of experience with programming and scripting languages such as Java, C++, C#, Python, JavaScript, etc.
                                                    • Solid understanding of data structures, algorithms, and design patterns.
                                                    • Proven ability to build and inspire a team of technical and business security professionals, ability to deliver projects on time/budget/scope and excellent presentation and communications skills and experience working collaboratively with clients
                                                    • Experience in the deployment, management and/or use of SIEM and analytics platforms.
                                                    • Knowledge of machine learning and data science concepts, algorithms and languages/libraries.
                                                    • B.S. or M.S. degree in Computer Science, Information Security or a related technical field.

                                                    -
                                                    -
                                                    +Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.
                                                    +
                                                    +Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.
                                                    +
                                                    +Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.
                                                    +
                                                    +Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust.
                                                    +

                                                    +
                                                    Diversity, Equity and Inclusion:
                                                    +
                                                    BenchSci is committed to creating an inclusive environment where people from all backgrounds can thrive. The work and commitment to diversity, equity and inclusion is our collective responsibility. That fundamental belief will guide us along our diversity, equity, and inclusion journey. We are just at the beginning, we will experience moments of discomfort and we may stumble along the way but we are committed to continuously improving and creating equitable and systemic change.
                                                    +

                                                    +
                                                    Accessibility Accommodations:
                                                    +
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    +
                                                    ",,https://jobs.lever.co/benchsci/b5bf5c20-f844-44f3-b3a6-cfd8f9d69e28?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-03-18T14:32:53.281Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/50744019-software-engineer-data-pipeline-at-benchsci,https://jobs.lever.co/benchsci/b5bf5c20-f844-44f3-b3a6-cfd8f9d69e28,expired,2021-02-11T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,Re-Posting an Expired Job, +b2134364-2f58-47ac-901a-060bfef0e6c2,50745823,Google,"Technical Specialist, Healthcare AI/Analytics, Public Sector",on_site,"Toronto, ON, Canada",2021-02-11T15:04:47.538Z,"

                                                    Minimum qualifications:

                                                    +
                                                      +
                                                    • Bachelor's degree in Computer Science or equivalent practical experience.
                                                    • +
                                                    • 5 years of experience in the healthcare industry in a customer facing cloud computing role.
                                                    • +
                                                    • Experience working with web/internet technologies, architecture across SaaS, PaaS, IaaS, on-prem and cloud productivity suites.
                                                    • +
                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • Master's degree in Computer Science, Health Informatics or other technical field.
                                                    • +
                                                    • 10 years of Healthcare industry experience in the Pharmaceutical, Clinical Trials or Medical Devices space.
                                                    • +
                                                    • Experience with application development, cloud service delivery/deployment, converged infrastructure, virtualization systems, and containers.
                                                    • +
                                                    • Knowledge of HIPAA, OSHA, GMP and other legal regulations around healthcare data and common healthcare data exchange formats (e.g., SDTM, ADaM, HL7, FHIR, CCDA), Big Data/ML/AI related to healthcare and Clinical Trials, and healthcare compliance.
                                                    • +
                                                    • Knowledge of solution architecture within web/mobile environments.
                                                    • +
                                                    • Ability to influence technical/non-technical audiences and deliver results in cross-functional/matrixed environments.
                                                    • +
                                                    +

                                                    About the job

                                                    +

                                                    When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

                                                    +

                                                    As a Technical Specialist, you will work with technical teams as a Healthcare cloud subject matter expert to differentiate and paint the vision of Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks.

                                                    +

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    +

                                                    Responsibilities

                                                    +
                                                      +
                                                    • Work to identify and qualify business opportunities, understand key customer technical objections, develop a strategy to resolve technical blockers, and travel to customer sites as required.
                                                    • +
                                                    • Provide in-depth Healthcare technology expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
                                                    • +
                                                    • Guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for a solution, and identify and define components from Google Cloud.
                                                    • +
                                                    • Create detailed and prescriptive architectures for healthcare cloud solutions.
                                                    • +
                                                    • Structure and execute workshops to prove out proposed new architectures, prototypes, develop best practices, and document key blocking requirements for prioritization with engineering.
                                                    • +
                                                    ",,https://careers.google.com/jobs/results/92522862612488902-technical-specialist-healthcare-aianalytics-public-sector/?location=Canada&sort_by=date,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-03-13T15:04:49.509Z,False,0,9,79,https://talenthub.vectorinstitute.ai/jobs/50745823-technical-specialist-healthcare-ai-analytics-public-sector-at-google,,expired,2021-02-11T15:04:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +efa327d0-3962-41f7-82ff-d6c42b6f84fb,51184444,Loblaw Companies Ltd.,Senior Data Engineering Specialist,on_site,"Toronto, ON, Canada",2021-02-15T14:37:27.927Z,"
                                                    +
                                                    +
                                                    +

                                                    Location:

                                                    +

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    +

                                                    If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    +

                                                    +

                                                    The Data & Analytics team at Loblaw is hiring a Senior Data Engineering Specialist with experience in building cloud-based modern data platforms from the ground up. Reporting to the Senior Manager – Data Engineering, the incumbent will be responsible for ingesting, wrangling, cleansing and delivering data to power our Analytics, BI and ML/AI capabilities. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

                                                    +

                                                    +

                                                    What You'll Do:

                                                    +

                                                    +

                                                    · Build and maintain batch and real-time data pipelines.

                                                    +

                                                    · Build and maintain an API gateway to manage integration points between the data platform and other applications and data consumers.

                                                    +

                                                    · Build end-to-end processes supporting data ingestion, data transformations, data wrangling, data cleansing and data delivery.

                                                    +

                                                    · Explore opportunities for optimization of existing data pipelines and re-designing of data infrastructure for greater scalability and performance.

                                                    +

                                                    · Build and maintain a repository of metadata and lineage information about how data flows through its lifecycle.

                                                    +

                                                    · Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.

                                                    +

                                                    · Contributes to the development and documentation of data management standards framework.

                                                    +

                                                    · Mentor and cross-train junior data engineers.

                                                    +

                                                    +

                                                    What You'll Bring:

                                                    +

                                                    · University degree in Computer Science, Mathematics, Engineering or related field.

                                                    +

                                                    · 5+ years of software engineering experience with strong focus on data.

                                                    +

                                                    · 5+ years of relevant OO programming experience using Java and Python.

                                                    +

                                                    · Experience working with Cloud data platforms technologies: Google Cloud Platform (Dataflow, Big Query, Apache Beam, Apache Airflow) and Azure Databricks.

                                                    +

                                                    · Experience using Jenkins to configure and build CI/CD pipelines.

                                                    +

                                                    · Experience building Terraform scripts to provision infrastructure as code.

                                                    +

                                                    · 5 years of experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)

                                                    +

                                                    · Advanced knowledge of SQL queries

                                                    +

                                                    · Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data

                                                    +

                                                    · Ability to take initiative, multi-task and work in a fast-paced environment

                                                    +

                                                    · Capability to liaise with all levels across the enterprise on projects and ad-hoc requests

                                                    +

                                                    · Strong detail orientation is essential in this role

                                                    +

                                                    · A Team player and self-starter

                                                    +

                                                    +

                                                    What You Can Expect:

                                                    +

                                                    We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    +

                                                    Other perks of joining Loblaw:

                                                    +

                                                    o Competitive compensation and benefits package

                                                    +

                                                    o Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

                                                    +

                                                    o A flexible work environment which values balance

                                                    +

                                                    o Colleague Discount Program

                                                    +

                                                    o Tuition reimbursement Program

                                                    +

                                                    o Employee Share Ownership plan

                                                    +

                                                    o Pension Plan

                                                    +

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Senior-Data-Engineering-Specialist_R2000193837,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-02-18T14:42:13.207Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/51184444-senior-data-engineering-specialist-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Senior-Data-Engineering-Specialist_R2000193837,expired,2021-02-15T14:37:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +5742ab5d-0fd5-45e3-8b4c-8f0453603f0d,51197297,RBC,"Director, Data Science",on_site,"Toronto, Ontario, Canada",2021-02-15T21:37:09.589Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    As Director, Data Science you will help create the advanced analytics strategy including statistical analysis, machine learning and deep learning. This role will work cross-functionally across the rest of the data management group and I&TS organizations to help deliver value through advanced analytics and modeling to help drive better data driven decisions.

                                                    +

                                                    +

                                                    What will you do?

                                                    +
                                                      +
                                                    • Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
                                                    • +
                                                    • Deliver and bring to production models and tools that will analyze and automate data across the pipeline to bring AI assisted decision making to stakeholders and self healing solution
                                                    • +
                                                    • Lead the data science practice and use industry tools and practices including predictive advance analytics, machine learning, anomoly detection, text mining, natural language processing, cognitive computing, sentiment analytics, and other common AI methodologies.
                                                    • +
                                                    • Assist in the development of an analytic strategy and lead the implementation, including tool selection while leading analytical labs with supervised, semi-supervised and unsupervised machine learning frameworks
                                                    • +
                                                    • Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R
                                                    • +
                                                    • Work with the reporting team to report on metrics while working with the larger department to innovate new analytic solutions while automating existing ones
                                                    • +
                                                    • Promote analytics across the enterprise to enable RBC to become a data-driven organization.
                                                    • +
                                                    • Identify, monitor, & mitigate cross-project or cross-program dependencies while managing relationships, anticipating / mitigating risks, facilitating communications and lead projects in an agile fashion
                                                    • +
                                                    • Lead team of data analysts/scientists to actively work on solving business problems and delivering value
                                                    • +
                                                    • Engage sponsoring executives and project team members establishing trusted partnerships to ensure deliveries within scope, budget, and timelines.
                                                    • +
                                                    • Balance collaboration and consensus with ability to assert project management discipline where required while being the seasoned practitioner in leading project teams through fast and complex pace of projects.
                                                    • +
                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have

                                                    +
                                                      +
                                                    • A PhD or Masters in Engineering, Computer Science, Statistical modeling or similar
                                                    • +
                                                    • Minimum 10+ years in a data or analytics-focused role with 5 yrs in technology and infrastructure
                                                    • +
                                                    • Experience with state-of-art analysis techniques and measurement tools to continuously build valuable insights and business recommendations
                                                    • +
                                                    • Effective programming / query skills and in-depth knowledge of common data manipulation, visualization and analytical tools (e.g. Tableau, Elastic, Python, R etc)
                                                    • +
                                                    • Experience and comfort delivering a project in true agile fashion and work cross functionally, where requirements are iteratively defined
                                                    • +
                                                    • Analytical, insights driven with the ability to help the organization to leverage data driven decisions
                                                    • +
                                                    • Strategic with strong change management, continuous improvement and transformation skills
                                                    • +
                                                    +

                                                    Nice-to-have

                                                    +
                                                      +
                                                    • 5+ years of project management experience in cross functional settings
                                                    • +
                                                    • Experience in financial services
                                                    • +
                                                    • Engineering/Math background with a focus on statistics and/or analytics
                                                    • +
                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                      +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • +
                                                    • A world-class training program in financial services
                                                    • +
                                                    • Opportunities to do challenging work
                                                    • +
                                                    • Opportunities to take on progressively greater accountabilities
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-Cyber-Security%2C-Omnia-AI-ON-M5C-3G7/715773900/,feed-importer@jobboard.io,,,,2021-04-28T15:38:34.995Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/55842207-manager-cyber-security-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-Cyber-Security%2C-Omnia-AI-ON-M5C-3G7/715773900/,expired,2021-03-25T15:40:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, -6228930d-d0b8-4d33-a315-0470ed6486ce,55842214,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-25T15:40:03.223Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Partner with clients to solve their most complex problems

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                    -

                                                    Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    What you will bring

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front St. West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Senior Manager/Director
                                                    Pay Type: Salaried
                                                    Position Level: PL06
                                                    Required Travel(%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 01/21/2021
                                                    Req ID: 290960

                                                    -
                                                    • 2+ years in an infrastructure and/or DevOps role
                                                    • BS or MS in computer science, or equivalent
                                                    • -Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                      • Hosted Kubernetes on AWS, Azure or GCP
                                                      • Installing and maintaining on-premise Kubernetes infrastructure
                                                    • Coding experience in one of Python, JavaScript or Java
                                                    • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                    • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                    • Proven record of following continuous integration and delivery best practices
                                                    • Expertise in GIT and Jenkins pipelines
                                                    • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                    • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                    • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                    • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                    • Understanding of cloud computing and on-premise security principles and best practices
                                                    • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                    • +

                                                      +

                                                      +
                                                    ",,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-01T16:53:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/51197297-director-data-science-at-rbc,https://jobs.rbc.com/ca/en/job/290960/Director-Data-Science,expired,2021-02-15T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +403cc6a7-177d-453b-8aeb-7b195122197d,51318063,Google,"Cloud Data Developer, Google Professional Services",on_site,"Toronto, ON, Canada",2021-02-16T14:31:34.727Z,"

                                                    Minimum qualifications:

                                                    +
                                                      +
                                                    • Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
                                                    • +
                                                    • Experience with data processing software (Hadoop, Spark, Pig, Hive) and algorithms (MapReduce, Flume).
                                                    • +
                                                    • Experience writing software in one or more languages: Java, C++, Python, Go, JavaScript.
                                                    • +
                                                    • Experience managing client-facing projects, technical troubleshooting, working with engineering, sales, services, and customers.
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +

                                                      Preferred qualifications:

                                                      +
                                                        +
                                                      • Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
                                                      • +
                                                      • Experience in technical consulting.
                                                      • +
                                                      • Experience in with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, Tensorflow).
                                                      • +
                                                      • Experience architecting and developing software or scalable Big Data solutions in virtualized environments.
                                                      -


                                                      The next step is yours

                                                      -

                                                      Sound like The One Firm. For You?

                                                      -

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      -

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-04-28T15:31:17.694Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/55842214-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-03-25T15:40:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -0c9854d1-6870-4e07-b158-ac4128a256e6,56351415,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2021-03-29T15:31:10.795Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    +

                                                    About the job

                                                    +

                                                    The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

                                                    +

                                                    The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                    +

                                                    As a Cloud Data Developer, you'll guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges.

                                                    +

                                                    In this role, you are the Google Developer working with strategic Google Cloud customers. With the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and more.

                                                    +

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    +

                                                    Responsibilities

                                                    +
                                                      +
                                                    • Act as a trusted technical advisor to customers and solve complex Big Data challenges.
                                                    • +
                                                    • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
                                                    • +
                                                    • Communicate effectively through video conferencing for meetings, technical reviews and onsite delivery activities.
                                                    • +
                                                    • Travel up to 30% of the time to customer sites, conferences, and other related events.
                                                    • +
                                                    ",,https://careers.google.com/jobs/results/72458650058138310-cloud-data-developer-google-professional-services/?location=Canada&page=2,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-03-01T17:21:00.000Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/51318063-cloud-data-developer-google-professional-services-at-google,,expired,2021-02-16T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,Re-Posting an Expired Job, +17abdff4-1977-48cc-8c62-f610961f9d89,51337929,Sun Life Financial,"Delivery Manager, Data Management Services",on_site,"North York, Toronto, ON, Canada",2021-02-16T20:14:50.570Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                    -

                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                    -

                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -You will be a key leader on an empowered team of data science professionals. Teams across the enterprise will rely on your leadership in data & analytics to bring about holistic changes to the bank’s business practices. Your knowledge and expertise in data science is complemented by strong business, communication and technical skills, allowing you to own & deliver with an integrated approach – seamlessly aligning with other leaders across the organization. You naturally provide your team with the inspiration and tools to execute with speed and precision, becoming true leaders themselves.

                                                    -

                                                    The following are key qualifications for As a Data Scientist II:

                                                    +

                                                    Job Description:

                                                    +

                                                    About the role

                                                    +

                                                    +

                                                    Data Management Services (DMS) is responsible for the day to day support of databases and data access middleware across North America. Our mandate is to focus on enabling our business partners through technology currency, emerging technologies, governance and security as well as empowering them with Business Intelligence (BI) tools. The successful candidate is expected to have a passion for Information Technologies and will need to be able to pick up, understand and become proficient in a wide range of software products and technologies.

                                                    +

                                                    +

                                                    As a member of the DMS team, the Delivery Manager will play an integral part of the relationship management, planning and delivery leadership for the DMS portfolio of projects. The successful candidate will have 10 or more years experience in Information Technology, with at least 5 years of demonstrated experience in Project Management and/or Delivery Management. This role will be accountable to initiate, plan and mobilize project teams, and then govern them through to execution. She/he is accountable to remove barriers and facilitate solutions to address business partners’ needs.

                                                    +

                                                    +

                                                    Our strategy for success is based on the following principles:

                                                      -
                                                    • Deep technical skills in multiple facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                    • -
                                                    • Advanced communication, business acumen and stakeholder management competencies
                                                    • -
                                                    • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                    • -
                                                    • Work closely with stakeholders to identify opportunities and serve as an ambassador for data science across the enterprise
                                                    • -
                                                    • Liaise with support functions such as risk, technology, model validation, OCDO etc. and operate within TD’s risk appetite, following policies, protocols and procedures
                                                    • -
                                                    • Be a champion in the D&A community for TD’s platforms and strategies, proactively identifying opportunities to advance tools, techniques and approaches
                                                    • -
                                                    • Are self-directed with the ability to identify meaningful work in down times and manage your time effectively in busy times
                                                    • -
                                                    • Take ownership of team targets and strategies such as value generation and contributes to the overall management and culture of the team including setting an example for junior employee
                                                    • -
                                                    • Exceptional collaborator in a high-interaction environment
                                                    • +
                                                    • Understanding our business partners’ needs, pain points and value areas
                                                    • +
                                                    • Awareness of the Capability Maturity Model Integration (CMMI) processes
                                                    • +
                                                    • Alignment with SLF’s technology strategy and roadmap
                                                    • +
                                                    • Continuously review and improve our processes
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +

                                                    What will you do

                                                      -
                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Advanced knowledge of industry data tools: python, R, SQL and Scala
                                                    • +
                                                    • Participate in end-to-end solution delivery. Ensure projects are delivered on time, on budget and with required quality.
                                                    • +
                                                    • Work closely with the Architect and DMS Leadership during the concept phase of project to define project delivery approach and methodology.
                                                    • +
                                                    • Ensure that appropriate organization, governance, decision making, and delivery structures are in place to drive outcomes articulated in the business case, CBA (cost benefit analysis), business requirements, and program/project charter.
                                                    • +
                                                    • Perform regular delivery risk reviews and support the project teams with escalations and resolutions as required. Serve as an escalation point for delivery issues.
                                                    • +
                                                    • Contribute innovative ideas for best practice and process improvements.
                                                    • +
                                                    • Create reusable solutions, processes or work products.
                                                    • +
                                                    • Establish project structure and reporting relationships, ensure that everybody understands the project goals and his/her role and responsibilities, encourage good working relationships among all project team members, motivate and resolve conflicts between individual members of the team.
                                                    • +
                                                    • Partner with Program Management to align demand with Supply capacities and ensure that resources are aligned strategically in order to maximize project success.
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    +

                                                    What you need to succeed

                                                    +
                                                      +
                                                    • University level degree in Computer Science or related information technology degree/diploma or equivalent experience
                                                    • +
                                                    • 5 - 7 years of experience of project management experience
                                                    • +
                                                    • Knowledge of Cloud concepts, Relational and Non-Relational databases
                                                    • +
                                                    • Foundational knowledge of Lean / Agile / Scrum methodologies
                                                    • +
                                                    • Mixture of strong business acumen, understanding of data and information technology
                                                    • +
                                                    • Strong organizational skills with the ability to juggle parallel projects efficiently
                                                    • +

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    Preferred Skills:

                                                    +
                                                      +
                                                    • Understand and put complex concepts into action
                                                    • +
                                                    • Strong understanding of business area drivers and priorities; ability to facilitate business prioritization and decisions
                                                    • +
                                                    • Excellent verbal and written communication skills
                                                    • +
                                                    • Ability to contribute solutions that meet or exceed business requirements
                                                    • +
                                                    • Willingness to share ideas and speak up in small to medium sized groups
                                                    • +
                                                    • Ability to establish long-term partnerships with the business partners and account teams
                                                    • +
                                                    +

                                                    Note:

                                                    +
                                                    • This role requires Canadian enhanced reliability security clearance.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12521329/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-04-08T15:36:16.748Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/56351415-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12521329/data-scientist-ii-toronto-ca/,expired,2021-03-29T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -7c9a60f1-ea34-4252-bf47-2774ac523fd3,56351588,BMO Financial Group,Enterprise Architect - Big Data and Analytics,on_site,"Toronto, ON, Canada",2021-03-29T15:32:13.278Z,"

                                                    Enterprise Architect - Big Data and Analytics

                                                    +

                                                    What’s in it for you:

                                                    +
                                                      +
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • +
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • +
                                                    • An environment of continuous learning and improvement
                                                    • +
                                                    • Flexible hours and periodic work from home options
                                                    • +

                                                    -

                                                    Creates a visionary IT big data and analytics architecture roadmap and organizational strategy to align business needs with technologies. Leads the creation of the strategic enterprise big data and analytics architecture for BMO. Partners with internal stakeholders to define the principles, standards, and guidelines regarding data flows, data aggregation, data migration, data curation, data consumption, data placements, data analytics, machine learning and AI. Provides expertise regarding data architecture in critical programs, data strategy and data quality remediation activities. Validates data architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.

                                                    -

                                                    · Defines & develops target & reference architecture, standards, best practices and leveraging leading big data & analytics architecture practices and advanced data technologies.

                                                    -

                                                    · Develops governance processes around data leveraging the enterprise data architecture framework.

                                                    -

                                                    · Applies innovative Data, Analytics & AI technologies with business insights to enterprise big data & analytics platform architecture, to meet complex and enterprise scale business and IT needs.

                                                    -

                                                    · Develops and maintain technical roadmap for enterprise big data & analytics platform for different platform capabilities.

                                                    -

                                                    · Supports projects/initiatives related to data acquisition, processing and utilization through enterprise big data platform.

                                                    -

                                                    · To be a technical leader viewed as a thought leader for innovation in big data, machine learning and AI areas. Thought out for their architectural depth and breadth.

                                                    -

                                                    · Provides advice and guidance to assigned Group/Functions on implementation of data & analytics solutions.

                                                    -

                                                    · Provides input to project teams to ensure that their processes and deliverables align with the target state architecture.

                                                    -

                                                    · Challenges the architecture validation process and other relevant enterprise data governance areas.

                                                    -

                                                    · Identifies data architecture opportunities for a broad, diverse, and complex set of business functions and processes.

                                                    -

                                                    · Develops and maintains strong working relationships with internal stakeholders in enterprise, technology and business groups in order to ensure adherence to data architecture standards.

                                                    -

                                                    · Researches/monitors industry activities to keep abreast of relevant data technologies.

                                                    -

                                                    · Recommends technology direction about the feasibility and applicability of such technologies within the environment.

                                                    -

                                                    · Works with business partners to analyze strategy and trends to define the requirements, principles, and models that guide technology decisions;

                                                    -

                                                    · Provides strategic input into business decisions as a trusted advisor.

                                                    -

                                                    · Works with internal stakeholders to provide architectural recommendations and guidance and departmental presentations.

                                                    -

                                                    · Leads and facilitates the design of technology projects and applications.

                                                    -

                                                    · Acts as the prime subject matter expert for internal/external stakeholders.

                                                    -

                                                    · Reviews technical work.

                                                    -

                                                    · Develops and recommends productivity aids to accelerate delivery.

                                                    -

                                                    · Creates and manages key architecture assets for the designated portfolio and business scope.

                                                    -

                                                    · Ensures sound and robust architecture and provides sufficient guidance for the successful implementation of solutions to mitigate negative enterprise technology and budget impacts.

                                                    -

                                                    · Identifies risks or issues with technology solution and design that may impact realization of project benefits, and guides and supports stakeholders in making good decisions that proactively resolve or mitigate potential project risks/delays.

                                                    -

                                                    · Participates in the system specification review process to ensure system requirements can be translated into valid software architecture.

                                                    -

                                                    · Identifies and researches relevant technologies, performs proofs of concept / prototypes, and recommends the applications of such technologies for future product architecture.

                                                    -

                                                    · Provides input into the preparation of business case.

                                                    -

                                                    · Identifies opportunities to strengthen the capability of the technology organization (e.g. sharing architectural expertise to promote technical development, mentoring employees, building communities of practice and networks).

                                                    -

                                                    · Stays abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning.

                                                    -

                                                    · Provides architectural expertise and domain knowledge to advise and guide senior leaders.

                                                    -

                                                    · Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

                                                    -

                                                    · Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

                                                    -

                                                    · Implements changes in response to shifting trends.

                                                    -

                                                    · Broader work or accountabilities may be assigned as needed.

                                                    -

                                                    -

                                                    Qualifications:

                                                    -

                                                    · Typically 7 - 15 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                    -

                                                    · Possesses a university degree/college diploma in related discipline(s) with concentration in computer science, engineering, information systems, information technology or other related majors such as business & administration.

                                                    -

                                                    · Solid hands-on working experience on enterprise level data platform and analytics solutions (e.g. Data Warehouse, Big Data, Hadoop, Spark, Kafka, SAS…);

                                                    -

                                                    · Solid proven working experience in data governance and enterprise data management domains including Data Security, Data Strategy, Data Quality, Master Data Management, Data Catalogs, Data Lineage

                                                    -

                                                    · OSS Data Technologies including Hadoop, Spark, Hive, Hue, Jupyter Notebook, Livy, Python, R, MariaDB, GraphQ and etc.

                                                    -

                                                    · Familiar with ODPi community and products

                                                    -

                                                    · Knowledge of cloud development platforms preferred

                                                    -

                                                    · AWS hands on experience and AWS cloud architect or big data certification a plus;

                                                    -

                                                    · Experience with SAS products: SAS Viya;

                                                    -

                                                    · Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue;

                                                    -

                                                    · Experience with Azure cloud services: Power BI, Databricks, SQL DB, Data Factory;

                                                    -

                                                    · Experience with stream-processing systems: Storm, Spark-Streaming, etc;

                                                    -

                                                    · Experience with implementing disruptive technologies in an organization;

                                                    -

                                                    · Experience with Complex & high volume cloud implementations;

                                                    -

                                                    · Experience with relational SQL and NoSQL databases;

                                                    -

                                                    · Experience with multi-faceted technologies (web development, network, distributed databases, big data, mobility, etc.);

                                                    -

                                                    · Passion for technology &/or domains;

                                                    -

                                                    · Innovations / Patent examples;

                                                    -

                                                    · Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.

                                                    -

                                                    · Exhibits knowledge of data architecture concepts and practices.

                                                    -

                                                    · Demonstrates knowledge of major regulatory frameworks related to risk data aggregation (e.g. BCBS239).

                                                    -

                                                    · Demonstrates knowledge of architecture frameworks, methodologies, and tools. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation).

                                                    -

                                                    · Possesses strong knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM).

                                                    -

                                                    · Possesses expert communication skills, both written and oral.

                                                    -

                                                    · Demonstrates solid consulting and client management skills.

                                                    -

                                                    · Is energetic, personable, and achievement- and outcome-oriented.

                                                    -

                                                    · Exhibits relationship management and managerial leadership abilities.

                                                    -

                                                    · Seasoned professional with a combination of education, experience and industry knowledge.

                                                    -

                                                    · Verbal & written communication skills - In-depth / Expert.

                                                    -

                                                    · Analytical and problem solving skills - In-depth / Expert.

                                                    -

                                                    · Influence skills - In-depth / Expert.

                                                    -

                                                    · Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

                                                    -

                                                    · Able to manage ambiguity.

                                                    -

                                                    · Data driven decision making - In-depth / Expert.

                                                    +

                                                    LI - SJ

                                                    +

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    We’re here to help

                                                    +

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    +

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Delivery-Manager_JR00038943-1?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-02-22T17:14:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/51337929-delivery-manager-data-management-services-at-sun-life-financial,,expired,2021-02-16T20:14:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +dc677c9e-af05-40aa-9df6-2c77f16ba0af,51341005,Ada,Data Analyst,on_site,"Toronto, ON, Canada",2021-02-16T20:51:33.950Z,"

                                                    We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 120 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
                                                    You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.
                                                    We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.
                                                    As a Data Analyst on the Analytics & Insights team, your work will be instrumental in shaping how millions of our customers interact with our products. You will be working directly with data engineers, data scientists, ML engineers, and business stakeholders to analyze and synthesize data that can guide our business and product strategies. You will be a subject matter expert to answer internal and external stakeholders’ questions with graphs, reports, and dashboards. In addition to your curious nature and attention to detail, we are looking for a Data Analyst who possesses clear verbal and written communication.

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Enterprise-Architect---Big-Data-and-Analytics_R210000001,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-28T15:32:14.728Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/56351588-enterprise-architect-big-data-and-analytics-at-bmo-financial-group,,expired,2021-03-29T15:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -1e63253f-dffd-4bfd-b4ed-28b7924e2fbe,56364606,Sun Life Financial,"Director, Data Science",on_site,"Toronto, ON, Canada",2021-03-29T17:19:19.163Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    +

                                                    About You

                                                    +
                                                        +
                                                      • 1-3 years experience in a data analytics role in a digital vertical, with hands-on experience with analyzing large amounts of user and product data to build user personas, A/B test new ideas, validate new features, and improve overall user experience.
                                                      • +
                                                      • BA/BS or equivalent.
                                                      • +
                                                      • Fluent in SQL, experience with Python/R, experience with Looker/Tableau.
                                                      • +
                                                      • Worked in an agile environment and familiarity with sprints / Jira.
                                                      • +
                                                      • Ability to analyze complex problems and provide integrative solutions.
                                                      • +
                                                      • Strong written and verbal communication skills.
                                                      • +
                                                      • Experience with AWS / GCP a plus.
                                                      • +
                                                    +

                                                    Outcomes

                                                    +
                                                        +
                                                      • Ada’s user and chatter experience is improved by leveraging large amounts of data to model and build personas, journey mapping, and understanding intent.
                                                      • +
                                                      • Take ownership of projects from the analytics roadmap to deliver actionable insights to internal and external stakeholders.
                                                      • +
                                                      • Satisfy customized requests from external stakeholders by understanding their use cases and business metrics, and leverage our BI solutions to match their requirements.
                                                      • +
                                                      • Collaborate with product team to design, A/B test, and validate new feature ideas that impacts millions of daily chatters.
                                                      • +
                                                      • Become a strong partner with Sales / Marketing / ACX / Engineering / G&A to assist with planned/ad-hoc initiatives.
                                                      • +
                                                    +




                                                    #LI-RD2
                                                    About Us
                                                    Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration and generally, the way we work for the digital world instead of in-person. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.We are backed by world-class investors, including Accel, FirstMark, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
                                                    Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

                                                    ",,https://jobs.lever.co/ada/1e067614-404b-48d2-9824-1708a4b23ca4,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-08T16:01:00.000Z,False,0,15,68,https://talenthub.vectorinstitute.ai/jobs/51341005-data-analyst-at-ada,,expired,2021-02-16T20:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, +13bacbb3-6c91-4f3e-889b-18469c70aa21,51341283,KPMG,"Consultant/Senior Consultant, Information, Data and Analytics",on_site,"Toronto, ON, Canada",2021-02-16T20:56:16.199Z,"

                                                    Job Description

                                                    +

                                                    Overview

                                                    +

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    +

                                                    When you join KPMG, you’ll be one of over 219,000 professionals providing audit, tax, advisory and business enablement services across 147 countries.

                                                    -

                                                    Job Description:

                                                    +

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    -

                                                    Role Summary

                                                    +

                                                    The opportunity:

                                                    -

                                                    As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail clients across Canada.

                                                    +

                                                    KPMG’s Management Consulting practice helps organizations leverage change. The Information, Data and Analytics team helps organizations leverage their data and information for competitive benefits and advantages by developing and optimizing their data governance, data management and data analytics programs and services, helping them transform their organization by leveraging emerging technologies.

                                                    The Information, Data and Analytics team is part of the Technology Strategy and Digital Transformation Service Line, which works with various organizations, both private and public. This multidisciplinary and multilingual team includes individuals with training and skills in information management, data management, metadata management, data engineering, analytics, data science, process re-engineering and architecture. We help our clients to digitally transform their business.

                                                    -

                                                    Reporting to the AVP, Innovation and Analytics, the Director, Data Science will lead predictive analytics and machine learning initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including sales, underwriting, product management and actuarial. The Director will also provide intellectual leadership on the application of advanced data analytics techniques to business problems and coach a high-performance team of analytics professionals.

                                                    +

                                                    We are looking to fill Consultant and Senior Consultant positions, in various locations across Canada, though you will be asked to work on projects outside your local office. We are a dynamic and innovative team and equally passionate about what we do and the quality of services we provide to our clients.

                                                    -

                                                    The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                                    +


                                                    What you will do

                                                    +

                                                    The successful candidate will support various projects in data management, information management, data/information governance, information process and flow mapping, data optimization, data classification, development and implementation of master data or metadata management programs, and/or multidisciplinary team participating in digital transformation projects.

                                                    -

                                                    What will you do?

                                                    +

                                                    The successful candidate will have a range of responsibilities, including:

                                                      -
                                                    • Lead a team to identify, develop, and operationalize high quality, robust predictive analytics solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. sales, product management, actuarial, underwriting).
                                                    • -
                                                    • Lead the research, development, and operationalization of enhancements to existing production models (e.g. Sun Life’s accelerated underwriting model)
                                                    • +
                                                    • Participating in client meetings and supporting the team in developing presentation materials in relation to project kick-off meetings, requirements gathering, project management, presentation of results, etc.
                                                    • +
                                                    • Participating in current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks.
                                                    • +
                                                    • Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling.
                                                    • +
                                                    • Supporting and guiding clients in implementing recommendations.
                                                    • +
                                                    • Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc.
                                                    • +
                                                    • Delivering high-quality work on time that meets the Firm’s quality standards and client expectations.
                                                    • +
                                                    • Working with cross-functional teams with people of diverse backgrounds and skill sets.
                                                    • +
                                                    • Applying best practice and process maturity knowledge observed in client engagements and personal research.
                                                    +

                                                    It is highly probable that the incumbent will be required to travel within Canada as part of his/her duties. At times, business needs arise and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need time to devote to personal matters, and our approach to flexibility provides for this.

                                                    +


                                                    What you bring to the role

                                                      -
                                                    • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
                                                    • -
                                                    • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources
                                                    • -
                                                    • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives
                                                    • -
                                                    • Coach and grow a high performance team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities
                                                    • +
                                                    • 2- 5 years of relevant professional experience in data management.
                                                    • +
                                                    • Experience classifying, defining or profiling data.
                                                    • +
                                                    • Strong understanding of data and business processes.
                                                    • +
                                                    • Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM.
                                                    • +
                                                    • Experience and/or certification with Data and Information Platforms such as Microsoft O365, Azure, AWS, Snowflake etc.
                                                    • +
                                                    • Professional experience in the financial or insurance industry, an asset.
                                                    • +
                                                    • Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset.
                                                    • +
                                                    • Knowledge and experience with various governance or data management tools (Collibra, Informatica, IGC, etc.), an asset.
                                                    • +
                                                    • Any data and/or information certifications are of benefit and should be identified.
                                                    • +
                                                    • University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related field.
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    +

                                                    Keys to your success:

                                                      -
                                                    • M.S. or PhD, preferably in math, computer science, or other relevant fields, or equivalent work experience
                                                    • -
                                                    • 7+ years of industry experience and expert knowledge in machine learning and data science
                                                    • -
                                                    • 3+ years experience in a management or leadership role
                                                    • -
                                                    • Extensive knowledge of machine learning and deep learning tools and concepts, including applications in NLP
                                                    • -
                                                    • Experience using one or more statistical programming languages (i.e., Python) to work with data sets
                                                    • +
                                                    • Ability to work independently with minimal supervision as well as work effectively within a multi-disciplinary team.
                                                    • +
                                                    • Superior verbal and written interpersonal communication skills.
                                                    • +
                                                    • Excellent client service skills.
                                                    • +
                                                    • Well organized with good prioritization/workload management abilities.
                                                    • +
                                                    • Professional discipline and importance of outstanding work.
                                                    • +
                                                    • Commitment to self-learning and continuous skill and professional knowledge development.
                                                    • +
                                                    • Professional curiosity.
                                                    +

                                                    Learn more about where a career at KPMG can take you.

                                                    +


                                                    Our Values, The KPMG Way

                                                    ",,https://careers.kpmg.ca/professionals/jobs/7454?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-18T20:56:18.171Z,False,0,10,64,https://talenthub.vectorinstitute.ai/jobs/51341283-consultant-senior-consultant-information-data-and-analytics-at-kpmg,,expired,2021-02-16T20:56:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +0ef93502-a965-4c4b-af3b-bf832d8732a5,51444523,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2021-02-17T20:12:42.360Z,"

                                                    POSITION OVERVIEW

                                                    +

                                                    +

                                                    As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI. You will report to the AI Engineering Director and work closely with a technical lead on your software development projects for day- to- day direction.

                                                    +

                                                    +

                                                    Start date: May 2021 (4- and 8-month terms available)

                                                    +

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    What will be nice to have?

                                                      -
                                                    • Life and health insurance industry experience, preferably a background in distribution, actuarial, or product management
                                                    • -
                                                    • Experience with cloud-based big data tools and platforms: AWS, SageMaker
                                                    • -
                                                    • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka
                                                    • -
                                                    • Past experience in analytics consulting or project management roles
                                                    • +
                                                    • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                    • +
                                                    • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • +
                                                    • Develop open source software for applying AI research techniques to common problems;
                                                    • +
                                                    • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                    • +
                                                    • Develop prototypes and proofs of concept; and,
                                                    • +
                                                    • Report and present on software development including status and results.

                                                    -

                                                    What’s in it for you?

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    +

                                                    +
                                                    • Currently enrolled at a Canadian university in third year or above in a Bachelor's program in computer science, mathematics, electrical engineering, or related discipline.
                                                      -
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • -
                                                    • 20 days vacation per year and an innovative sabbatical program
                                                    • -
                                                    • A friendly, collaborative and inclusive culture
                                                    • -
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                    • -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family
                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • -
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                                                    • +
                                                    • Experience in machine learning and/or statistics.
                                                    • +
                                                    • Software engineering background with experience in industry.
                                                    • +
                                                    • Data engineering background working with messy real-world data.
                                                    • +
                                                    • Analytical skills to identify signal in data and feasibility of prediction.
                                                    • +
                                                    • Knowledge and experience of Python.
                                                    • +
                                                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                    • +
                                                    • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • +
                                                    • Data science experience considered an asset.
                                                    • +
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    +

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. The application deadline is March 4, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    +

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=120&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-08T16:12:00.000Z,False,0,59,308,https://talenthub.vectorinstitute.ai/jobs/51444523-applied-machine-learning-intern-at-vector-institute,,expired,2021-02-17T20:12:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, +4831dddb-7bfc-4458-8951-6509a9ea991e,51548403,TD Bank Group,Sr BI & Reporting Analyst,on_site,"Toronto, ON",2021-02-18T14:34:05.659Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +
                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    +

                                                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                    +

                                                    TD Insurance Data & Insights group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                    +

                                                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                    +

                                                    Joining us in TD Insurance Data & Insights is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                    +
                                                    +

                                                    +

                                                    Job Description

                                                    +
                                                    +

                                                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                                                    +

                                                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                                                    +

                                                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                                                    +

                                                    As a Senior Business Intelligence & Reporting Analyst, you will:

                                                    +

                                                    +
                                                  • Produce specialized reporting packages, dashboards and scorecards for businesses
                                                  • +
                                                  • Lead the implementation of initiatives in support of overall business/function strategy
                                                  • +
                                                  • Conduct analysis to provide improved BI to inform management leadership team
                                                  • +
                                                  • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                  • +
                                                  • Validate the quality and integrity of the data included in all reporting
                                                  • +
                                                  • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                                                  • +
                                                  • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                                                  • +
                                                  • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                  • +
                                                  • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                  • +
                                                  • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                  • +
                                                  • Work independently as the senior analyst / expert and may provide technical support to others
                                                  • +
                                                  • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                                                  • +
                                                  • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                  • +

                                                    `

                                                    +
                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                    +

                                                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +
                                                      +
                                                    • Undergraduate degree or technical certificate
                                                    • +
                                                    • Five (5) or more years relevant experience
                                                    • +
                                                    • Undergraduate degree in Business, Math, or a related discipline
                                                    • +
                                                    • Five (5) or more years relevant experience
                                                    • +
                                                    • +Priority is given to the candidates with prior experience with Azure cloud platform, Hadoop based environments, Python, and Tableau.
                                                    • +
                                                    +
                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/12428218/sr-bi-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-15T16:42:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/51548403-sr-bi-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12428218/sr-bi-reporting-analyst-toronto-ca/,expired,2021-02-18T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a6d44f45-9333-4e71-8c09-06928b319b92,51551521,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-02-18T14:54:29.726Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Partner with clients to solve their most complex problems

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +

                                                    You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                    +

                                                    +

                                                    Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    What you will bring

                                                    +

                                                    +
                                                    • 2+ years in an infrastructure and/or DevOps role
                                                    • BS or MS in computer science, or equivalent
                                                    • +Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                      • Hosted Kubernetes on AWS, Azure or GCP
                                                      • Installing and maintaining on-premise Kubernetes infrastructure
                                                    • Coding experience in one of Python, JavaScript or Java
                                                    • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                    • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                    • Proven record of following continuous integration and delivery best practices
                                                    • Expertise in GIT and Jenkins pipelines
                                                    • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                    • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                    • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                    • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                    • Understanding of cloud computing and on-premise security principles and best practices
                                                    • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-03-24T15:34:52.060Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/51551521-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-02-18T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +bcb01ca9-62fc-4bb8-935b-66e0f921e68c,51566221,Accenture,GCP Data Engineering Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-02-18T21:25:14.061Z,"

                                                    Job Description

                                                    WeAre:

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Science_JR00040570-3?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-04-15T20:19:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/56364606-director-data-science-at-sun-life-financial,,expired,2021-03-29T17:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -914c8068-ce16-449c-a19c-5324c1fbfebb,56368257,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-03-29T17:56:30.212Z,"

                                                    Purpose
                                                    The incumbent leads advanced analytics and executive reporting projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    +

                                                    AppliedIntelligence, the people who love using data to tell a story. We’re also theworld’s largest team of data scientists, data engineers, and experts in machinelearning and AI. A great day for us? Solving big problems using the latesttech, serious brain power, and deep knowledge of just about every industry. Webelieve a mix of data, analytics, automation, and responsible AI can do almostanything—spark digital metamorphoses, widen the range of what humans can do,and breathe life into smart products and services. Want to join our crew ofsharp analytical minds? Visit us here to find out moreabout Applied Intelligence.

                                                    +

                                                    -

                                                    Accountabilities
                                                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                    -

                                                    • Proactively drives data-based decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Identifies opportunities for operational efficiencies and cost savings.

                                                    -

                                                    • Leverages advanced analytics techniques to improve end-to-end business processes, such as predictive & prescriptive analytics and simulations for optimization.

                                                    -

                                                    • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication with data delivery network and Executives. Strong interpersonal and communication skills are essential.

                                                    -

                                                    • Provides advanced data mining techniques to provide fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake (Hadoop), cloud, and diverse source systems.

                                                    -

                                                    • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with executive leadership. These insights are expected to strategically influence decisions of business operations management.

                                                    -

                                                    • Implements best practices for Internal Survey design, analysis and communication of insights.

                                                    -

                                                    • Maintain awareness of best practices in the field of data analytics and adopt a continuous learning model to reflect quality of work that is produced

                                                    -

                                                    • Identifies and implements use cases for enhancing customer experience across business units using advanced techniques, such as customer segmentation, text analytics (NLP) and experimental research.

                                                    -

                                                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                    -

                                                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                    -

                                                    • Champions a high performance environment and contributes to an inclusive work environment.

                                                    +

                                                    YouAre:

                                                    -

                                                    Dimensions

                                                    -

                                                    • Advanced Analytics Use Cases
                                                    • Executive Reporting

                                                    -

                                                    • Customer Experience
                                                    • All operational functions in Global Operations

                                                    +

                                                    AnAI, machine learning, and statistical programming guru with tons of experiencein data engineering architecture. Your superpower? Applying modern data andcloud technologies to design and build stand-out data solutions that helpclients meet the challenges of digitization so they can do more. You’re in yourelement juggling modern data technologies like Hadoop and NoSQL and you knowhow to use them to forge a modern data platform. As a senior manager, you haveleadership skills in spades and expertise in managing large teams and/orprojects at a client.

                                                    +

                                                    +

                                                    +

                                                    TheWork:

                                                    -

                                                    Education & Experience

                                                    -

                                                    • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
                                                    • 8+ years of experience in managing and analyzing data with advanced techniques

                                                    -

                                                    • Working experience in customer analytics, text analytics and experimental research
                                                    • Advanced knowledge of Python, R, SQL, Power BI and DAX
                                                    • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
                                                    • Excellent verbal and written communication skills to effectively present information to relevant stakeholders at all levels of the organization

                                                    +
                                                    • Oversee efforts to provide solutions to digital-age data challenges facing clients in multiple industries

                                                      +
                                                    • Design and build an ecosystem of modern data technologies on premise and on GCP cloud

                                                      +
                                                    • Revamp the current platform by re-engineering data acquisition, storage, processing, security, data management, governance, and analysis

                                                      +
                                                    • Work with clients to define the future-state architectures of their data platforms and play a lead role in setting up a roadmap to reach that state

                                                      +
                                                    • Spot and assess complex problems for area(s) you’re in charge of

                                                      +
                                                    • Take part in setting strategic direction to set near-term goals for area(s) of responsibility

                                                      +
                                                    • Possess a solid grasp of what’s involved in planning, scaling, deployment, and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies

                                                      +
                                                    • +
                                                    +
                                                    +
                                                    READ MORE OF THE JOB DESCRIPTION

                                                    +
                                                    +

                                                    Qualifications

                                                    +

                                                    Here’sWhat You Need:

                                                    +
                                                    • Minimum 5+ years of architecting, implementing, and successfully operationalizing large-scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on GCP using many of the relevant technologies such as BigQuery, DataProc, Sub/Pub.

                                                      +
                                                    • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                                      +
                                                    • Minimum 5+ years of Spark/MR/ETL processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                                      +
                                                    • Minimum 5+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                                      +
                                                    • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                                      +
                                                    • +
                                                    +

                                                    BonusPoints :

                                                    -

                                                    Working Conditions
                                                    • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel globally.

                                                    +
                                                    • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                                      +
                                                    • You have a minimum of 5+ years of experience implementing large-scale secure cloud data solutions using Google data and analytics services—e.g., BigQuery, DataProc

                                                      +
                                                    • You have a minimum of 5+ years of experience building data management (metadata, lineage, tracking, etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on Google cloud

                                                      +
                                                    • You have a minimum of 5+ years of Re-architecting and rationalizing traditional data warehouses on premise or transition to Google cloud

                                                      +
                                                    • +
                                                    +

                                                    Weare a global collective of innovators applying the New every day to improve theway the world works and lives. Help us show the world what’s possible as youpartner with clients to unlock hidden value and deliver innovativesolutions. Empowered with innovative tools, continuous learning and a globalcommunity of diverse talent and perspectives, we drive success in a newbusiness architecture that disrupts conventional practices. Our expertise spans40+ industries across 120+ countries and impacts millions of lives everyday. We turn ideas into reality.

                                                    -

                                                    Location(s): Canada : Ontario : North York || Canada : Ontario : Toronto

                                                    -

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    +

                                                    -

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/North-York-Senior-Manager%2C-Data-Science-ON-M3C0N5/546078817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-04-09T18:34:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/56368257-senior-manager-data-science-at-scotiabank,,expired,2021-03-29T17:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -c18627bd-b70b-4aa8-9a13-a7e45c47e970,56477091,Borealis AI,Fall 2021 Internships,on_site,"Toronto, ON, Canada",2021-03-30T13:08:36.177Z,"

                                                    About Borealis AI

                                                    -

                                                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank

                                                    -

                                                    of Canada. Comprised of top AI researchers and engineers and motivated by the

                                                    -

                                                    pursuit of solving intelligence, Borealis AI is advancing machine learning science,

                                                    -

                                                    while building leading products for financial services. With 40+ scientific publica-

                                                    -

                                                    tions in top-tier academic venues, the institute performs research in areas, such as

                                                    -

                                                    deep learning, reinforcement learning, language processing, AI safety, and more.

                                                    -

                                                    Borealis AI was founded in 2016 and has over 100 team-members across its four

                                                    -

                                                    labs in Canada.

                                                    +

                                                    OurCommitment to Inclusion & Diversity

                                                    -

                                                    Our internships are currently running virtually. Interns support research on a wide

                                                    -

                                                    variety of theoretical and applied machine learning projects. Working at Borealis AI

                                                    -

                                                    will grant you unique access to massive structured and unstructured datasets with

                                                    -

                                                    the tools and resources necessary to build game-changing statistical models. Being

                                                    -

                                                    part of our team means you’ll have the opportunity to publish original research

                                                    -

                                                    in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And

                                                    -

                                                    you’ll be working with some of the brightest minds in AI.

                                                    -

                                                    Internship opportunities are available in the following areas:

                                                    -

                                                    ` Deep Learning

                                                    -

                                                    ` Reinforcement Learning

                                                    -

                                                    ` Graphs and Optimization

                                                    -

                                                    ` Unsupervised and Semi-supervised

                                                    -

                                                    Learning

                                                    -

                                                    ` Bayesian Optimization

                                                    -

                                                    ` Privacy and Fairness

                                                    -

                                                    ` Interpretability and Explainability

                                                    -

                                                    ` AutoML

                                                    -

                                                    ` Time Series Forecasting

                                                    -

                                                    ` Natural Language Processing

                                                    -

                                                    ` Computer Vision

                                                    +

                                                    AtAccenture, inclusion and diversity are fundamental to our culture and embeddedin our core values. We are committed to creating a workforce where our peoplecan feel comfortable, be themselves and contribute. Like Canada itself,Accenture employees represent a tremendous variety of cultures, ethnicities,beliefs, backgrounds and languages. We offer an inclusive environmentregardless of personal characteristics such as ethnicity, religion, gender,sexual orientation, gender identity or expression, age or disability.

                                                    -

                                                    Fall 2021

                                                    -

                                                    Internships

                                                    -

                                                    1

                                                    -

                                                    You’re our ideal candidate if you have:

                                                    -

                                                    ` Ability to implement state-of-the-art machine learning techniques

                                                    -

                                                    ` High motivation to solve challenging research problems

                                                    -

                                                    ` Passion for data, algorithms, and statistics

                                                    -

                                                    ` Experience working towards a PhD or already hold an MSc in Computer Science,

                                                    -

                                                    Engineering or another mathematically related field (e.g., Physics, Math, Statistics,

                                                    -

                                                    etc.)

                                                    -

                                                    ` Previous publications at a top-tier AI conference

                                                    -

                                                    ` Experience with writing modular, robust, scalable software in Python

                                                    -

                                                    ` Familiarity with the Unix command line and bash scripting

                                                    -

                                                    ` Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch

                                                    -

                                                    ` A deep understanding of machine learning algorithms and/or statistical modeling

                                                    +

                                                    -

                                                    Internship duration:

                                                    -

                                                    4 months (September – December 2021).

                                                    -

                                                    Application deadline:

                                                    -

                                                    May 4, 2021.

                                                    +

                                                    Requestingan Accommodation

                                                    -

                                                    Inclusion and Equal Opportunity Statement:

                                                    -

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are

                                                    -

                                                    pleased to consider all qualified applicants for employment without regard to race, color,

                                                    -

                                                    religion, sex, sexual orientation, gender identity, national origin, age, disability, pro-

                                                    -

                                                    tected veterans status, Aboriginal/Native American status or any other legally-protected

                                                    -

                                                    factors. Disability-related accommodations during the application process are available

                                                    -

                                                    upon request.

                                                    -

                                                    How to apply:

                                                    -

                                                    Complete the online application and submit your resume at:

                                                    -

                                                    -

                                                    https://www.borealisai.com/en/...

                                                    +

                                                    -

                                                    For any questions and enquiries, please contact: mi.research@borealisai.com.

                                                    -

                                                    Please follow us on Twitter and LinkedIn for updates from Borealis AI.

                                                    ",,https://www.borealisai.com/en/applications/internship-application/,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-04-29T13:08:00.000Z,True,0,27,263,https://talenthub.vectorinstitute.ai/jobs/56477091-fall-2021-internships-at-borealis-ai,,expired,2021-03-30T13:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, -24c14d6e-4376-48fb-9a9c-7a7ac5839d70,56815765,Loblaw Companies Ltd.,Machine Learning Software Developer,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-04-01T15:27:08.959Z,"
                                                    -
                                                    -
                                                    -

                                                    Referred applicants should not apply directly to this role.

                                                    -

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    -

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    -

                                                    Why is this role important?

                                                    -

                                                    At Loblaws, we know that our customers expect the very best from us. Whether that means building the best, most innovative customer experience through targeted recommendations, or designing an app or design decision engines for logistics/resource optimizations in real time that will impact the lives of people across the country, we’re up for the challenge. The Data Insights & Analytics (DIA) division is transforming the methodologies used to personalize our customer's experience. To enable this, we build scalable, reusable data-driven ML approaches to build the state of the art. Join us in this dream to build & scale.

                                                    -

                                                    -

                                                    Our data story

                                                    -

                                                    -

                                                    As Canada’s largest retailer, with well-established and widely-used loyalty programs, we have an enviable wealth of data at our disposal – and it’s now time to deploy it in the service of an evolving and superior customer experience. The Solutions Engineering team here seeks passionate individuals to build & deploy scalable ML products, and who share the same purpose to fearlessly embark on this adventure with us. We are more than just analytics: we ship actual products, in the form of models that directly impact user experience.

                                                    -

                                                    -

                                                    We’re looking to increase the engineering horsepower of our analytics teams so that we can work seamlessly integrate with analytics teams to build & deploy models at scale. We’re looking for a solid software engineer with a data science background who is comfortable in both worlds, can contribute to ambitious ML-based projects, but also help us to write reliable microservices and stream-processing systems to deliver data and insights downstream at the pace required by the business. Experience working with NLP and/or ML techniques is preferred, though is secondary to your software engineering skillset for this role.

                                                    -

                                                    -

                                                    Responsibilities:

                                                    -
                                                      -
                                                    • Work cross-functionally with engineering, product, and data science/analytics teams to productionize the data science models at scale through a Service Oriented Architecture (SOA)
                                                    • -
                                                    • Develop robust, high performance batch/streaming solutions for transforming the various data sources produced by other parts of the business into training data, inputs to models, and actionable insights
                                                    • -
                                                    • Build & maintain feature pipelines to curate operational data as analytical features
                                                    • -
                                                    • Develop predictive models to help inform business decisions based upon shifts in consumer behavior.
                                                    • -
                                                    • Consult on analytical architectures and provide engineering support for build, dev and validation phases of data products within analytics teams.
                                                    • -
                                                    -

                                                    -

                                                    Minimum qualifications:

                                                    -

                                                    -

                                                    Technical Skills:

                                                    -
                                                      -
                                                    • BA/BS in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • -
                                                    • Proficient in at least 1 compiled language, and at least 1 other programming language
                                                    • -
                                                    • Familiar with the concepts and idioms of functional programming
                                                    • -
                                                    • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                                    • -
                                                    • Demonstrable superiority working with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                                    • -
                                                    • Comfortable with at least some of the latest “big-data” tools, such as spark, kafka, hive, beam, etc.
                                                    • -
                                                    • Experience with at least one modern REST framework (flask/Sinatra/express/etc) -
                                                    • -
                                                    • Experience building with Microservices architecture
                                                    • -
                                                    • DAG orchestrations using workflow management systems – Airflow, Luigi
                                                    • -
                                                    • DevOps experience with Dockers, Git (Bitbucket/Gitflow), Jenkins
                                                    • -
                                                    • Experience with cloud environments such as Databricks/GCP/Azure
                                                    • -
                                                    -

                                                    -

                                                    Soft Skills:

                                                    -
                                                      -
                                                    • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                                    • -
                                                    • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                                    • -
                                                    • Extremely well organized, proactive.
                                                    • -
                                                    • Ability to multi-task and prioritize workloads.
                                                    • -
                                                    -

                                                    -

                                                    Preferred qualifications:

                                                    -
                                                      -
                                                    • MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • -
                                                    • Familiar with JVM languages and associated ecosystem
                                                    • -
                                                    • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
                                                    • -
                                                    • Experience with developing python and pyspark applications
                                                    • -
                                                    • Familiarity with MLOps tools (Mlflow/DVC/AzureML/etc) -
                                                    • -
                                                    -

                                                    Deployed machine learning models in GCP environment or basic familiarity to Kubernetes/Kubeflow.

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Machine-Learning-Software-Developer_R2000185891,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-04-22T15:33:58.581Z,False,0,6,26,https://talenthub.vectorinstitute.ai/jobs/56815765-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Machine-Learning-Software-Developer_R2000185891,expired,2021-04-01T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Vector Quick Apply,Retail,Entry Level,Bachelors Degree,New Posting, -e562e730-a6c8-41b1-b54d-ab067522ebc7,56815767,Loblaw Companies Ltd.,"Sr. Data Engineering Analyst, Data Acquisition",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-04-01T15:27:09.758Z,"
                                                    -
                                                    -
                                                    -

                                                    Referred applicants should not apply directly to this role.

                                                    -

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    -

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    -

                                                    Why is this role important?

                                                    -

                                                    The Data & Analytics team at Loblaw is hiring a Data Acquisition Sr. Analyst with experience in acquiring and developing data assets and data monetization. Reporting to the Sr. Manager, Data Acquisition, as part of Data, Insight & Analytics team, the incumbent will be responsible for executing the company’s data acquisition strategy. Data acquisition is a critical enterprise function and we are building a world class team that will help to transform the company.

                                                    The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                    What You'll Do

                                                    -
                                                      -
                                                    • Responsible for executing the technical strategy within data acquisition
                                                    • -
                                                    • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                    • -
                                                    • Test external data assets to ensure they meet the needs of internal stakeholders
                                                    • -
                                                    • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                    • -
                                                    • Create the proper controls and documentation to ensure compliance and ethical use of the acquired content
                                                    • -
                                                    • Data Privacy compliance
                                                    • -
                                                    • Ongoing relationship management of strategic third party acquired accounts
                                                    • -
                                                    • Subject matter expertise to data vendor landscape and data valuation.
                                                    • -
                                                    • Collaborate with the Legal organization to ensure proper usage
                                                    • -
                                                    • Support the day-to-day needs of business customers including the analytic organization
                                                    • -
                                                    • Managing projects from the starting point to the final execution
                                                    • -
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • -
                                                    -

                                                    What You'll Bring

                                                    -
                                                      -
                                                    • University degree in a business, data, programming, or analytic field of study (e.g. Math, Computer Science, Software Engineering, Business, Economics, Media, Finance)
                                                    • -
                                                    • 3+ years of experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                    • -
                                                    • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                    • -
                                                    • Data programming experience (SQL, python, APIs)
                                                    • -
                                                    • Experience with scheduling tools (cron, Airflow)
                                                    • -
                                                    • Linux experience
                                                    • -
                                                    • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                    • -
                                                    • Strong Communication and interpersonal skills
                                                    • -
                                                    • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of collaboration
                                                    • -
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • -
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • -
                                                    • Strong detail orientation is essential in this role
                                                    • -
                                                    • A Team player and self-starter
                                                    • -
                                                    -

                                                    What You Can Expect

                                                    We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    Other Perks Of Joining Loblaw

                                                    -
                                                      -
                                                    • Competitive compensation and benefits package
                                                    • -
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • -
                                                    • A flexible work environment which values balance
                                                    • -
                                                    • Colleague Discount Program
                                                    • -
                                                    • Tuition reimbursement Program
                                                    • -
                                                    • Employee Share Ownership plan
                                                    • -
                                                    • Pension Plan
                                                    • -
                                                    -

                                                    -

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    -
                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-04-15T20:34:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/56815767-sr-data-engineering-analyst-data-acquisition-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,expired,2021-04-01T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Vector Quick Apply,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -53881164-3497-47f5-aceb-d8a8ca91bd30,56818309,Thomson Reuters,Senior Full-Stack Engineer,on_site,Toronto-Ontario-Canada,2021-04-01T15:39:22.473Z,"
                                                    -Job Description
                                                    -

                                                    Thomson Reuters is looking to add a Senior Full Stack Engineer to our Digital Technology team in our Toronto offices. The position requires someone to think independently and work well collaboratively across multiple disciplines, including working with various technology stacks (as needed). This is a chance to get in and immediately impact our new and expanding product lines. It is an opportunity to work for a great company with intelligent people on large systems worldwide.

                                                    -

                                                    -

                                                    As a Senior Full Stack Engineer, you can deliver high-quality work on time, in a fast-paced environment while collaborating and brainstorming with others in a dynamic team environment. A combination of solid planning, organization, time management skills, and handling multiple projects is critical. You will also contribute to the maintenance and support of production systems as necessary.

                                                    -
                                                    -

                                                    -

                                                    About the Role

                                                    -

                                                    In this opportunity as Senior Full Stack Engineer, you will:

                                                    -
                                                      -
                                                    • Build and Develop – software applications by understanding user needs, writing well-designed code, conducting validation/testing and executing the entire SDLC from design through release

                                                    • -
                                                    • Be a Team Player – work in a collaborative, team-oriented environment, share information, value diverse ideas, partner with cross-functional and remote teams

                                                    • -
                                                    • Be Curious & Innovative – continuously update yourself with next-generation technology, development tools, and contribute to process development practices

                                                    • -
                                                    • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment to deliver solutions against strict timelines

                                                    • -
                                                    • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                    • -
                                                    • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                    • -
                                                    -

                                                    -

                                                    About You

                                                    -

                                                    You are fit for the role of a Senior Full Stack Engineer if you have:

                                                    -
                                                      -
                                                    • 4+ years of experience with technologies: Python/Java, JavaScript, React, CSS and HTML 5, and other core languages across the technology industry using Front-end & Server-side programming technologies

                                                    • -
                                                    • Experience using Agile Methodologies primarily Scrum

                                                    • -
                                                    • Design skills, including significant knowledge of core libraries and common design patterns

                                                    • -
                                                    • Strong attention to detail and ability to prioritize work effectively

                                                    • -
                                                    • Ability to write clean, readable code that is easy to understand

                                                    • -
                                                    • Expertise using Object Oriented design patterns and software development methodologies

                                                    • -
                                                    • Customer-first approach to software development

                                                    • -
                                                    • Excellent written and verbal communication skills (ability to communicate effectively with technical staff, Business Analysts, management, and business team members)

                                                    • -
                                                    -

                                                    -

                                                    Desired Experience

                                                    -
                                                      -
                                                    • Experience using Search technologies such as Elastic Search, Sorl, Coveo, LucidWorks, ect..

                                                    • -
                                                    • Managing code and changes in a team environment to include experience with source control utilities, such as Git

                                                    • -
                                                    • Experience with Adobe Experience Manager (AEM) development.

                                                    • -
                                                    • Working and interacting with a geographically and culturally diverse team

                                                    • -
                                                    • Mentoring junior developers and translating requirements from business partners

                                                    • -
                                                    • Experience with XML processing and transformations (XPath, XSLT, etc.)

                                                    • -
                                                    • Other experience: Tomcat, Hibernate/JPA, UML, React, .NET

                                                    • -
                                                    • Cloud technology experience(e.g. AWS, Azure), or Docker

                                                    • -
                                                    -

                                                    -

                                                    What's in it For You

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                    -
                                                      -
                                                    • -

                                                      Learning & Development: Exposure to a wide breadth of leading-edge technology

                                                      -
                                                        -
                                                      • Career growth - the ability to work on multiple projects and with various teams

                                                      • -
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                      • -
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                      • -
                                                      -
                                                    • -
                                                    • -

                                                      Benefits/Perks:

                                                      -
                                                        -
                                                      • Health benefits

                                                      • -
                                                      • Savings/investment plans

                                                      • -
                                                      • Paid time off (including time off to volunteer and extended parental leave)

                                                      • -
                                                      -
                                                    • -
                                                    • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

                                                    • -
                                                    • Global Opportunities: We have employees in over 90 countries, working across 3 different industries

                                                    • -
                                                    • Your well-being: We offer programs that focus on making our lives healthier

                                                    • -
                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/504896/Senior-Full-Stack-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-04-15T17:49:14.216Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/56818309-senior-full-stack-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/504896/Senior-Full-Stack-Engineer/,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -a73ede40-1e38-4d2c-9520-c9e30718ed2e,56818321,Thomson Reuters,Front-end Software Engineer,on_site,Toronto-Ontario-Canada,2021-04-01T15:39:26.551Z,"
                                                    -Job Description
                                                    -

                                                    As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our Technology drives global markets and helps professionals around the world make decisions that matter. Whether solving today's challenges or tomorrow's aspirations, you will work with the industry's brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world's leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                    -

                                                    Reuters is seeking a Front-end Software Engineer to be a part of a small, high-performing team, reporting into Technology, with a dotted line to the Director of Global Customer Experience.

                                                    -

                                                    You will work on web interfaces and back-end services that support Reuters.com and our related mobile apps. We are currently investing in our next generation of Reuters.com to make content discovery quicker and more accessible, improving client curation and enabling our targeted audience to consume more relevant stories (to their interest areas) faster than ever before. We're looking for colleagues who relish the skill, creativity, and entrepreneurship that our multimedia products demand.

                                                    -

                                                    -

                                                    About the Role

                                                    -

                                                    As a Front-end Software Engineer, you will:

                                                    -
                                                      -
                                                    • Build and Develop – software applications by understanding user needs, writing well-designed code, conducting validation/testing and executing the entire SDLC from design through release

                                                    • -
                                                    • Be a Team Player – work in a collaborative, team-oriented environment, share information, diverse value ideas, partner with cross-functional and remote teams

                                                    • -
                                                    • Be Curious & Innovative – continuously update yourself with next-generation Technology, development tools, and contribute to process development practices

                                                    • -
                                                    • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment to deliver solutions against strict timelines

                                                    • -
                                                    • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                    • -
                                                    • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                    • -
                                                    -

                                                    -

                                                    About You

                                                    -

                                                    You're a fit for the role of a Front-end Software Engineer if you:

                                                    -
                                                      -
                                                    • Have intermediate to advanced knowledge of JavaScript, HTML, CSS. (Preferred - React, Webpack)

                                                    • -
                                                    • Are experienced with A/B testing tools like Google Optimize, Optimizely, Convert, Etc.

                                                    • -
                                                    • Are experienced developing for mobile, desktop, and tablet

                                                    • -
                                                    • Are familiar with CSS frameworks, pre and post-processors, preferable CSS modules and SASS

                                                    • -
                                                    • Have an understanding of semantic HTML, SEO and Accessibility

                                                    • -
                                                    • Have experience with source control such as Git and code reviews / git-flow

                                                    • -
                                                    • Are experienced integrating with REST services and 3rd party APIs using AJAX / JSON

                                                    • -
                                                    • Have demonstrated ability to learn new tools, frameworks, and languages quickly

                                                    • -
                                                    -

                                                    -

                                                    Preferred qualifications:

                                                    -
                                                      -
                                                    • Excellent verbal and written communication skills. Must be able to communicate complex technical concepts to diverse audiences effectively.

                                                    • -
                                                    • UX understanding

                                                    • -
                                                    • Good knowledge and understanding of browser architecture, the page rendering process, page loading and page size optimization techniques

                                                    • -
                                                    • NPM or similar dependency management tooling

                                                    • -
                                                    • Experience working on marketing sites

                                                    • -

                                                    -

                                                    What's in it For You

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                    -
                                                      -
                                                    • -

                                                      Learning & Development:

                                                      -
                                                        -
                                                      • Exposure to a wide breadth of leading-edge Technology

                                                      • -
                                                      • Career growth - ability to work on multiple projects and/or with various teams

                                                      • -
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                      • -
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                      • -
                                                      -
                                                    • -
                                                    • -

                                                      Benefits/Perks:

                                                      -
                                                        -
                                                      • Health benefits

                                                      • -
                                                      • Savings/investment plans

                                                      • -
                                                      • Paid time off (including time off to volunteer and extended parental leave)

                                                      • -
                                                      -
                                                    • -
                                                    • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

                                                    • -
                                                    -

                                                    Global Opportunities:

                                                    -
                                                      -
                                                    • We have employees in over 90 countries, working across 3 different industries

                                                    • -
                                                    • Your wellbeing: We offer a program that focuses on making our lives healthier

                                                    • -
                                                    -
                                                    +

                                                    Accentureis committed to providing equal employment opportunities for persons withdisabilities or religious observances, including reasonable accommodation whenneeded. If you are hired by Accenture and require accommodation to perform theessential functions of your role, you will be asked to participate in ourreasonable accommodation process. Accommodations made to facilitate therecruiting process are not a guarantee of future or continued accommodations oncehired.

                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/495826/Front-end-Software-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-05T19:33:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/56818321-front-end-software-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/495826/Front-end-Software-Engineer/,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Entry Level,No Degree,New Posting, -97075246-620e-4852-8ad8-4683e0f7f69d,56818354,Borealis AI,Machine Learning Researcher,on_site,"Toronto, - Montreal, - Waterloo, - Vancouver",2021-04-01T15:39:36.294Z,"

                                                    What’s the opportunity?

                                                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                    -

                                                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                    Your responsibilities include:

                                                    • Developing novel AI solutions that facilitate impactful products;
                                                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                    • Working with the development team to transfer research work into production;
                                                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                    • -

                                                    You’re our ideal candidate if you have:

                                                    • A passion for solving open problems using data and algorithms;
                                                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                    • Ability to formulate and drive a research project independently without close supervision;
                                                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                    • -

                                                    What’s in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • -

                                                    How to apply:

                                                    Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-05-05T14:44:58.754Z,False,2,0,81,https://talenthub.vectorinstitute.ai/jobs/56818354-machine-learning-researcher-at-borealis-ai,,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,PhD,New Posting, -f5e13188-78ec-46e2-933d-6d93d0562d34,57472244,Scotiabank,AI Engineer,on_site,"Toronto, ON, Canada",2021-04-07T15:29:37.709Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    Purpose:

                                                    +

                                                    -

                                                    We are a leading financial services provider in North America, Latin America, the Caribbean, Central America, and parts of Europe and Asia. We are Canada’s MOST international bank. We place value on creativity, curiosity, drive and the need to work collaboratively, and we're looking for future leaders who have a passion for making an impact and, most of all, getting things done. If this sounds like you, join our awesome team!

                                                    -

                                                    The Customer Insights, Data, and Analytics team at Scotiabank is focused on building high-value projects to enhance data-driven decisions across the bank. Our team consists of accomplished professionals who blend expertise in computer science, data, machine learning, and UI to deliver innovative solutions that drive the business.

                                                    +

                                                    Ifyou would like to be considered for employment opportunities with Accenture andhave accommodation needs for a disability or religious observance, please callus toll free at 1 (877) 889-9009, send us an email or speak with yourrecruiter.

                                                    -

                                                    WHO ARE WE LOOKING FOR?

                                                    -


                                                    • Do you love to solve problems?
                                                    • Does the idea of creating order out of chaos excite you?
                                                    • Do you obsess over the cutting-edge tools for data processing and analytics?
                                                    • Have you built insightful data-driven applications?

                                                    -

                                                    If you answered yes to any of the above questions, we are looking for you!

                                                    +

                                                    -

                                                    KEY ACCOUNTABILITIES:

                                                    -


                                                    • Work with business teams across Global Banking and Markets (GBM) to understand their data-driven goals
                                                    • Collaborate with data scientists to integrate AI and ML-based models into client facing applications
                                                    • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                    • Mine data assets and discover impactful stories
                                                    • Experiment & learn!

                                                    +

                                                    OtherEmployment Statements

                                                    -


                                                    QUALIFICATIONS:

                                                    -


                                                    • Bachelor or graduate degree in Computer Science or Engineering, or related field or relevant experience
                                                    • Experience with or interest in Banking/Finance/Capital Markets is an asset
                                                    • Advanced programming skills in Python, Scala, R, and /or Java required. Experience with Spark is an asset
                                                    • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                    • Experience with visualization tools an asset: Power BI/Tableau
                                                    • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                    • High performance, pragmatic, detail-oriented
                                                    • Eligible to work in Canada

                                                    -


                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    -

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-AI-Engineer-ON-M5H1H1/546237217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-04-15T20:29:00.000Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/57472244-ai-engineer-at-scotiabank,,expired,2021-04-07T15:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -a801a87e-ea68-4629-91de-6fd8a49f187b,57592436,Deloitte,"Software Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-08T15:39:43.820Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -

                                                    As a Software Engineer, Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                                    -
                                                    • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                                    • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, No-SQL solutions etc.
                                                    • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                                    • Deploy and integration solutions on the cloud and on-premises.
                                                    • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • Strong development skills in Java. Groovy experience is a plus.
                                                    • Solid understanding of databases, application architectures, open source frameworks etc.
                                                    • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                                    • Exposure to Agile development methods in data-oriented projects
                                                    • Knowledge of Linux, shell scripting etc.
                                                    • -
                                                    -

                                                    Strong candidates will also have some of the following capabilities:

                                                    -
                                                    • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                                    • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                                    • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                                    • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    -

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,feed-importer@jobboard.io,,,,2021-05-08T18:40:59.246Z,False,0,8,61,https://talenthub.vectorinstitute.ai/jobs/57592436-software-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-04-08T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,No Degree,New Posting, -b18bb6fa-9fd1-4f83-9a34-cd25f696696e,57758897,RBC,Senior Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-04-08T21:50:27.473Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    The Senior Data Engineer is an individual contributor responsible for optimizing our data infrastructure and delivering data and reporting solutions, business intelligence and visualization. This role requires a high degree of knowledge across RBC Insurance’s lines of business, systems and data platforms. The role leverages its technical skills to partner with IT and the business line(s) to assess, research, analyze and develop business, technical and system data solutions ranging in small to highly complex in nature.

                                                    -

                                                    -

                                                    What will you do?

                                                    -

                                                    • Responsible for the design, development and management of data dashboards requests of medium to high complexity, ensuring timely and accurate responses to each request within acceptable time service standards by the business. (e.g. combining multiple source systems, writing unique or new code, discovering creative ways to deliver on business requirements)

                                                    -

                                                    • Advise stakeholders and business partners on the use and interpretation of custom built reports to highlight business intelligence.

                                                    -

                                                    • Identify opportunities for technical and process improvements for our systems that will increase application resiliency, improve data integrity and increase process efficiency

                                                    -

                                                    • Investigate and resolve application issues relating to environments or batch jobs, and supports Production and non-Prod implementations through code deployments

                                                    -

                                                    -

                                                    What will you need to be successful?

                                                    -

                                                    Must have

                                                    -

                                                    • Minimum undergraduate degree in Statistics/Mathematics, Finance, Computer Science, or a discipline that develops capability in data analytics and reporting

                                                    -

                                                    • Minimum 5 years’ experience working with financial/insurance products/services and corresponding data

                                                    -

                                                    • Solid working experience with very large relational databases and large volumes of data of various formats

                                                    -

                                                    • Advanced SAS, SQL programming demonstrating the use of efficient querying/datamining techniques

                                                    -

                                                    -

                                                    Nice to have

                                                    -

                                                    • Solid working experience with MS Office Professional Suite with emphasis on Visual Basic or Visual Basic for Applications

                                                    -

                                                    • Knowledge of statistical procedures and applied data validation mechanisms

                                                    -

                                                    • Strong knowledge of Dashboard Reporting methodology

                                                    -

                                                    • Solid knowledge of Unix/AIX v5, Teradata

                                                    -

                                                    • Experience with Tableau, Hadoop, Python

                                                    -

                                                    -

                                                    What's in it for you?

                                                    -

                                                    • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans

                                                    -

                                                    • Competitive pay and high-earning potential

                                                    -

                                                    • All the tools, training, and team support you need to grow your career

                                                    -

                                                    • Flexible work/life balance options

                                                    -

                                                    • Sophisticated RBCI software tools to boost your productivity

                                                    -

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Mississauga
                                                    Address: 6880 Financial Dr
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Required Travel (%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 04/20/2021
                                                    Platform: Insurance

                                                    Req ID: 343180
                                                    Ad Code(s):

                                                    -

                                                    +

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/343180/Senior-Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-04-15T20:26:00.000Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/57758897-senior-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/343180/Senior-Data-Engineer,expired,2021-04-08T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9542b26d-784d-4e80-8b60-801ff0ca0910,57806703,KPMG,"Blockchain Software Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-04-09T14:47:26.261Z,"

                                                    Overview

                                                    -

                                                    -

                                                    Why KPMG Digital?

                                                    -

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    -

                                                    -

                                                    KPMG Digital Toronto has an exciting opportunity for a Software Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                    -
                                                      -
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • -
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • -
                                                    • Have a permanent “figure it out” mindset
                                                    • -

                                                    -

                                                    Video: Digital Opportunities

                                                    -


                                                    What you will do

                                                    -
                                                      -
                                                    • Develop and design end-to-end web services and web applications with responsive UI that provide business insights
                                                    • -
                                                    • Collaborate with Solution Specialists, Data Scientists, and Data Engineers in drafting the functional specifications required during the software development life cycle
                                                    • -
                                                    • Provide recommendations on how software can enhance user experience
                                                    • -
                                                    • Architect, code and debug problematic code
                                                    • -
                                                    • Provide expertise in cloud/on-prem/hybrid hosting solutions and full stack development
                                                    • -
                                                    • Participate in the research and evaluation of new tools and technologies that can help drive innovative solutions for our clients
                                                    • -
                                                    -


                                                    What you bring to the role

                                                    -
                                                      -
                                                    • Bachelor in Computer Science, Software Engineering, or related disciplines.
                                                    • -
                                                    • 6+ years of professional experience in a related field.
                                                    • -
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • -
                                                    • Demonstrated development experience in SQL, NoSQL, HTML & CSS, Python, JavaScript, Java
                                                    • -
                                                    • Proficiency building web applications using one or more JavaScript and CSS frameworks like AngularJS, React, Vue.JS, and Bootstrap
                                                    • -
                                                    • Experienced with back-end technologies like Node.JS, and Java
                                                    • -
                                                    • Proficient in using and designing REST APIs
                                                    • -
                                                    • Blockchain knowledge and integration experience (preferably with the Ethereum blockchain)
                                                    • -
                                                    • Knowledge of both digital assets and smart contracts is a decided asset
                                                    • -
                                                    • Ability to develop a variety of user-oriented applications to deliver content in intuitive and innovative ways, through desktop, mobile apps and web interfaces
                                                    • -
                                                    • Familiarity with programming methodologies such as version control (i.e. Git), testing, QA, Waterfall and Agile development methodologies
                                                    • -
                                                    • Experience in mainstream cloud services: AWS, MS Azure and GCP, microservices and serverless computing
                                                    • -
                                                    +

                                                    Itis currently our objective to assign our people to work near where theylive. However, given the nature of our business and our need to serveclients, our employees must be available to travel when needed.

                                                    -

                                                    Keys to your success:

                                                    -
                                                      -
                                                    • Hungry for experience, and eager to learn in a rapidly changing industry
                                                    • -
                                                    • A curiosity that looks to redefine the norm and sees technology and innovation as a tool to open new doors and new opportunities
                                                    • -
                                                    • Passionate and capable of delivering solutions with a high attention to detail
                                                    • -
                                                    • An attitude of resourcefulness that inspires creativity
                                                    • -

                                                    -


                                                    Our Values, The KPMG Way

                                                    -

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    +

                                                    +

                                                    -

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    +

                                                    Jobcandidates are not required to disclose any offence for which a pardon has beengranted.

                                                    -

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6878?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-05-09T14:47:28.432Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/57806703-blockchain-software-engineer-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-04-09T14:47:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, -031a9734-e6a2-4dec-b38b-f8c7f0f04e30,57807678,Ada,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-04-09T14:52:36.740Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    -

                                                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                                    -

                                                    -

                                                    Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                                    +
                                                    +
                                                    +

                                                    Locations

                                                    Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                    +
                                                    +
                                                    +

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    +

                                                    Equal Employment Opportunity Statement

                                                    +

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    +

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    +

                                                    Requesting An Accommodation

                                                    +

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    +

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    +

                                                    Other Employment Statements

                                                    +

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    +

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00930066_en&title=GCP+Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-03-01T16:41:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/51566221-gcp-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00930066_en&title=GCP+Data+Engineering+Manager,expired,2021-02-18T21:25:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +4dbc2d4f-1508-40da-9a04-01311c59aa0c,51890037,Roche,Computational Biologist,on_site,"Mississauga, ON, Canada",2021-02-22T14:31:32.267Z,"

                                                    Title: Computational Biologist
                                                    Department: Global IT Solution Center
                                                    Location: Mississauga Head Office
                                                    Duration: Full time

                                                    -

                                                    We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                    -

                                                    Things you should know about our product & teams

                                                    +

                                                    Project

                                                    +

                                                    Looking for interdisciplinary scientist with experience in computing and biology to perform scientific data analyses in partnership with Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

                                                    +

                                                    Required Skills

                                                      -
                                                    • We use a microservices architecture built predominantly with Python
                                                    • -
                                                    • Our data pipelines are built on Kafka and we use Kubeflow to orchestrate our machine learning pipelines
                                                    • -
                                                    • We use Kubernetes to manage our cloud deployments in Azure
                                                    • -
                                                    • We use CircleCI to continuously integrate and deploy code changes
                                                    • +
                                                    • 3-6 years of experience required with minimum of a Bachelor’s Degree in Information Technology, Bioinformatics, or related sciences; advanced degree in Biological field with significant computational training also acceptable; PhD and post-doctoral experience preferred.
                                                    • +
                                                    • Unix/Linux proficiency and R programming including experience with Bioconductor libraries.
                                                    • +
                                                    • Documented experience with sequencing/genomic data analysis (NGS) and related bioinformatics tools and libraries (eg. RNAseq analysis, WGS, single cell analyses).
                                                    • +
                                                    • Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.
                                                    • +
                                                    • Excellent communication, advanced English reading, writing, listening and speaking skills.
                                                    • +
                                                    • Responsible and reliable; goal and task oriented. Able to work independently to answer scientific questions using public and private data sets.
                                                    -

                                                    -

                                                    What we’re looking for:

                                                    -

                                                    We’re looking for candidates with:

                                                    -
                                                      -
                                                    • Experience building high volume, scalable data pipelines using Kafka (or Pulsar)
                                                    • -
                                                    • Passionate about Kappa architectures and excited to work with IoT data streams
                                                    • -
                                                    • Familiar with what can go wrongin a data pipelineand how to design for fault-tolerance, monitoring and integrity testing
                                                    • -
                                                    • Solid knowledge of Python, plus one of Javascript, Java, or Go
                                                    • -
                                                    • An understanding of microservice architecture and distributed system design
                                                    • -
                                                    • A proven track record of delivering well-designed and tested software
                                                    • -
                                                    -

                                                    -

                                                    ​Who you are:

                                                    -

                                                    -

                                                    In general, we’re looking for developers that exemplify these qualities:

                                                    +

                                                    Preferred Skills and Experience

                                                      -
                                                    • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                                    • -
                                                    • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                                    • -
                                                    • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                                    • -
                                                    • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                                                    • +
                                                    • Strong background, experience, or degree in biomedical field is preferred (eg. Oncology, Neuroscience, Immunology, Microbiology, Genetics, etc.).
                                                    • +
                                                    • History of scientific authorship. (First, middle, and senior author articles all beneficial.)
                                                    • +
                                                    • Experience with version control and issue tracking systems (eg. git, JIRA).
                                                    • +
                                                    • Experience with SQL and no-SQL databases.
                                                    • +
                                                    • Experience working with High Performance Computing (HPC) environments.
                                                    • +
                                                    • Machine Learning and Data Mining skills are a benefit.
                                                    • +
                                                    • Please briefly highlight publications/experience with computational analysis of Single Cell (eg. scRNAseq), ATACseq, ChipSeq, GWAS, WES, Gene Set or Pathway Analyses, and related datasets.
                                                    • +
                                                    • Please briefly highlight publications/experience with epigenetic, proteomic, lipidomic, functional genomic, iPSC, structural biology, or microbiome analyses.

                                                    -

                                                    Your Benefits

                                                    Some of the benefits you can expect as part of our team include:

                                                    +

                                                    List of Duties

                                                      -
                                                    • Awesome team and culture (every day)
                                                    • -
                                                    • Generous time off, including vacation and personal days to help rejuvenate
                                                    • -
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • -
                                                    • Flexible office policy, with options to work remotely
                                                    • -
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • -
                                                    • Company-provided MacBooks and standing desks
                                                    • -
                                                    • Top technology and tools to excel at your role
                                                    • -
                                                    • Free team lunches
                                                    • +
                                                    • Engage with partner scientists at Genentech, understand their biological questions, and use public and internal databases to provide reliable scientific answers.
                                                    • +
                                                    • Running existing pipelines to process and analyze sequencing data.
                                                    • +
                                                    • Reporting, documenting and visualizing data analysis results using open source and internally developed tools.
                                                    • +
                                                    • Occasional development of custom R/Shiny applications.
                                                    -

                                                    -

                                                    Why Join Canvass?

                                                    -

                                                    -

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    -

                                                    -

                                                    What's it like working at Canvass?

                                                    -

                                                    -

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    -

                                                    -

                                                    Apply Now

                                                    -

                                                    -

                                                    Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                                    -

                                                    -

                                                    You can also follow us on Twitter or LinkedIn to learn more about us.

                                                    -

                                                    Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    -

                                                    Apply for this position

                                                    -

                                                    Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                                    ",,https://www.canvass.io/senior-data-engineer-job,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-04-15T20:52:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/57807678-senior-data-engineer-at-ada,,expired,2021-04-09T14:52:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -187c40f2-3b85-4138-85a8-0e2bf3cde7db,58155575,Unity Health Toronto,Research Coordinator I,full,"Toronto, ON, Canada",2021-04-12T14:55:15.914Z,"

                                                    The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto.

                                                    -

                                                    The DSAA team at Unity Health Toronto is currently seeking a full timr Research Coordinator I to support the Program Manager with project and organizational administration for a 12 month contract. Tasks will include ongoing coordination of activities pertaining to DSAA projects, including task and timeline management, project documentation, research ethics applications and literature searches. Other tasks may include assisting with research contracts, assisting Investigators and the Program Managers with the initiation of new projects and presenting project related information including written project reports where necessary.

                                                    -

                                                    The ideal candidate for this position is highly motivated, organized, attentive to detail, and demonstrates excellent communication and problem solving skills. The Research Coordinator I will report to the Program Manager and Program Directors.

                                                    -

                                                    Duties & Responsibilities:

                                                    +

                                                    Our offer

                                                      -
                                                    • Assisting in setting project goals
                                                    • -
                                                    • Coordinating project activities
                                                    • -
                                                    • Assist investigators and the program manager with the implementation of project management protocols
                                                    • -
                                                    • Performing general office duties e.g. filing, faxing, mailings, courier services, photocopying, etc.
                                                    • -
                                                    • Conduct literature reviews, as well as internet searches for project related information
                                                    • -
                                                    • Interact with various departments such as pharmacy, laboratories, medical records, etc.
                                                    • -
                                                    • present research related information, including written study reports when necessary
                                                    • -
                                                    • Create and maintain project documentation
                                                    • -
                                                    • Monitor and track project timelines and tasks
                                                    • -
                                                    • Maintain and update project related tracking documents
                                                    • -
                                                    • Maintain and organize electronic files
                                                    • -
                                                    • Prepare REB documents and applications, as well as research contract forms
                                                    • -
                                                    • Complete other tasks as assigned
                                                    • +
                                                    • Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function;
                                                    • +
                                                    • Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives;
                                                    • +
                                                    • Attractive and competitive salary and package;
                                                    • +
                                                    • Professional development culture supported by training, development plans, and international opportunities.
                                                    • +
                                                    • Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).
                                                    -

                                                    Qualifications:

                                                    -
                                                      -
                                                    • Minimum Bachelor’s degree from an accredited university required
                                                    • -
                                                    • Experience with project management and administrative tasks required
                                                    • -
                                                    • Excellent attention to detail and proven ability to learn new skills
                                                    • -
                                                    • Familiarity with data science and medical terminology preferred
                                                    • -
                                                    • Excellent communication (verbal/written) and interpersonal skills are necessary
                                                    • -
                                                    • Ability to work independently and as part of a team
                                                    • -
                                                    • Excellent organizational skills to manage multiple tasks in a timely manner and flexibility to adapt to changing workload
                                                    • -
                                                    • Ability to diagnosis problems and creatively solve issues
                                                    • -
                                                    • Professionalism and self-motivation
                                                    • -
                                                    ",michaelia.banning@unityhealth.to,,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2021-05-15T18:58:00.000Z,False,1,0,76,https://talenthub.vectorinstitute.ai/jobs/58155575-research-coordinator-i-at-unity-health-toronto,,expired,2021-04-12T14:55:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, -1b7be78c-0ba2-4bc6-bc84-d54d133ab69b,58161461,Thomson Reuters,Applied Research Scientist - NLP,on_site,Toronto-Ontario-Canada,2021-04-12T17:43:20.128Z,"
                                                    -Job Description

                                                    Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval and Natural Language Processing.

                                                    -

                                                    What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                    +

                                                    Please submit full academic CV with publication history and cover letter.

                                                    +

                                                    In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions.

                                                    -

                                                    As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across various AI research areas and Engineering and Design to drive the company's digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance state-of-the-art support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                                    +

                                                    Position will be posted until filled.

                                                    -

                                                    About the role

                                                    -

                                                    In this opportunity as an Applied Research Scientist, you will:

                                                    -
                                                      -
                                                    • Experiment and Develop: You will execute the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                    • -
                                                    • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                    • -
                                                    • Deliver: You will be accountable for timely, well-managed deliverables.

                                                    • -
                                                    • Innovate: be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                    • -
                                                    • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                    • -
                                                    +

                                                    NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                    -

                                                    About you

                                                    -

                                                    You are a fit for the role of an Applied Research Scientist if you have:

                                                    -
                                                      -
                                                    • Ph.D. in a relevant discipline or Master's plus a comparable level of experience - At least one year of industry experience building IR/NLP/ML systems

                                                    • -
                                                    • Solid software engineering skills for prototyping

                                                    • -
                                                    -

                                                    Preferred qualifications

                                                    -
                                                      -
                                                    • 5+ years academic or industry experience building IR or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                    • -
                                                    • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                    • -
                                                    • Proven communication skills and ability to work on deliverables independently

                                                    • -
                                                    • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                    • -
                                                    -

                                                    -

                                                    What's in it for you

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                    -
                                                      -
                                                    • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                    • -
                                                    • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                    • -
                                                    • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                    • -
                                                    • Perks: Social events & activities, employee discount programs

                                                    • -
                                                    • Social Impact: Paid time off for volunteering virtually or in your community

                                                    • -
                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/503112/Applied-Research-Scientist-NLP/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-15T19:00:07.116Z,False,0,5,36,https://talenthub.vectorinstitute.ai/jobs/58161461-applied-research-scientist-nlp-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/503112/Applied-Research-Scientist-NLP/,expired,2021-04-12T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,PhD,Re-Posting an Expired Job, -fa241bfe-4f80-4d69-8bf5-dd323f0f784e,58161465,Thomson Reuters,Applied Research Scientist - Machine Learning,on_site,Toronto-Ontario-Canada,2021-04-12T17:43:22.161Z,"
                                                    -Job Description

                                                    Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art Machine Learning and Natural Language Processing.

                                                    +

                                                    AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                    -

                                                    What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                    +

                                                    Roche is an equal opportunity employer.

                                                    +

                                                    Information Technology, Information Technology > Application Development / Programming

                                                    ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202006-116749&locale=en&title=Computational+Biologist&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-03-24T14:31:36.900Z,False,0,8,71,https://talenthub.vectorinstitute.ai/jobs/51890037-computational-biologist-at-roche,,expired,2021-02-22T14:31:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +2e96afb0-c097-4d3f-a7a4-c344759f3956,51890045,Loblaw Companies Ltd.,Machine Learning Software Developer,on_site,"Toronto, ON, Canada",2021-02-22T14:33:49.760Z,"
                                                    +
                                                    +
                                                    +

                                                    Location:

                                                    +

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    At Loblaws, we know that our customers expect the very best from us. Whether that means building the best, most innovative customer experience through targeted recommendations, or designing an app or design decision engines for logistics/resource optimizations in real time that will impact the lives of people across the country, we’re up for the challenge. The Data Insights & Analytics (DIA) division is transforming the methodologies used to personalize our customer's experience. To enable this, we build scalable, reusable data-driven ML approaches to build the state of the art. Join us in this dream to build & scale.

                                                    +

                                                    +

                                                    Our data story

                                                    +

                                                    +

                                                    As Canada’s largest retailer, with well-established and widely-used loyalty programs, we have an enviable wealth of data at our disposal – and it’s now time to deploy it in the service of an evolving and superior customer experience. The Solutions Engineering team here seeks passionate individuals to build & deploy scalable ML products, and who share the same purpose to fearlessly embark on this adventure with us. We are more than just analytics: we ship actual products, in the form of models that directly impact user experience.

                                                    +

                                                    +

                                                    We’re looking to increase the engineering horsepower of our analytics teams so that we can work seamlessly integrate with analytics teams to build & deploy models at scale. We’re looking for a solid software engineer with a data science background who is comfortable in both worlds, can contribute to ambitious ML-based projects, but also help us to write reliable microservices and stream-processing systems to deliver data and insights downstream at the pace required by the business. Experience working with NLP and/or ML techniques is preferred, though is secondary to your software engineering skillset for this role.

                                                    +

                                                    +

                                                    Responsibilities:

                                                    +
                                                      +
                                                    • Work cross-functionally with engineering, product, and data science/analytics teams to productionize the data science models at scale through a Service Oriented Architecture (SOA)
                                                    • +
                                                    • Develop robust, high performance batch/streaming solutions for transforming the various data sources produced by other parts of the business into training data, inputs to models, and actionable insights
                                                    • +
                                                    • Build & maintain feature pipelines to curate operational data as analytical features
                                                    • +
                                                    • Develop predictive models to help inform business decisions based upon shifts in consumer behavior.
                                                    • +
                                                    • Consult on analytical architectures and provide engineering support for build, dev and validation phases of data products within analytics teams.
                                                    • +
                                                    +

                                                    +

                                                    Minimum qualifications:

                                                    +

                                                    +

                                                    Technical Skills:

                                                    +
                                                      +
                                                    • BA/BS in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • +
                                                    • Proficient in at least 1 compiled language, and at least 1 other programming language
                                                    • +
                                                    • Familiar with the concepts and idioms of functional programming
                                                    • +
                                                    • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                                    • +
                                                    • Demonstrable superiority working with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                                    • +
                                                    • Comfortable with at least some of the latest “big-data” tools, such as spark, kafka, hive, beam, etc.
                                                    • +
                                                    • Experience with at least one modern REST framework (flask/Sinatra/express/etc) +
                                                    • +
                                                    • Experience building with Microservices architecture
                                                    • +
                                                    • DAG orchestrations using workflow management systems – Airflow, Luigi
                                                    • +
                                                    • DevOps experience with Dockers, Git (Bitbucket/Gitflow), Jenkins
                                                    • +
                                                    • Experience with cloud environments such as Databricks/GCP/Azure
                                                    • +
                                                    +

                                                    +

                                                    Soft Skills:

                                                    +
                                                      +
                                                    • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                                    • +
                                                    • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                                    • +
                                                    • Extremely well organized, proactive.
                                                    • +
                                                    • Ability to multi-task and prioritize workloads.
                                                    • +
                                                    +

                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • +
                                                    • Familiar with JVM languages and associated ecosystem
                                                    • +
                                                    • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
                                                    • +
                                                    • Experience with developing python and pyspark applications
                                                    • +
                                                    • Familiarity with MLOps tools (Mlflow/DVC/AzureML/etc) +
                                                    • +
                                                    +

                                                    Deployed machine learning models in GCP environment or basic familiarity to Kubernetes/Kubeflow.

                                                    +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Machine-Learning-Software-Developer_R2000185891,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-03-01T15:32:04.345Z,False,0,6,20,https://talenthub.vectorinstitute.ai/jobs/51890045-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Machine-Learning-Software-Developer_R2000185891,expired,2021-02-22T14:33:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,Re-Posting an Expired Job, +a90fe54d-53f3-4f8b-99ee-354b738f1dae,51890050,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Toronto, ON",2021-02-22T14:34:10.560Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    -

                                                    As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across various AI research areas and Engineering and Design to drive the company's digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance state-of-the-art support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                                    +

                                                    Department Overview

                                                    +
                                                    +

                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                    +

                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                    +

                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                    +

                                                    -

                                                    About the role

                                                    -

                                                    In this opportunity as an Applied Research Scientist, you will:

                                                    +

                                                    Job Description

                                                    +
                                                    +

                                                    +

                                                    About this Role

                                                    +

                                                    With a burgeoning career as a forecasting analyst, you abide by a key philosophy: the more data the better. Good thing TD has vast amounts of it to parse – as in petabytes. You will join a team of data specialists who create complex data models. You will support numerous data analysis functions across the enterprise including data modeling, visualization, data profiling, report design and other specialized data management functions. TD will look to you to assess our current data capabilities and identify (at a high level) the data requirements for a broad variety of business needs. To meet those needs, your team will propose data management solutions based on industry gold standard methodologies and trends. As your career grows, so does your own drive to learn and enhance your own expertise.

                                                    +

                                                    We are looking for someone to provide strategic technical planning on an innovative team of data specialists, using complex, industry-leading tools to support our business processes through descriptive and predictive modelling.

                                                    +

                                                    As a Modelling/Forecasting Analyst you will:

                                                      -
                                                    • Experiment and Develop: You will drive the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                    • -
                                                    • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                    • -
                                                    • Deliver: You will be accountable for timely, well-managed deliverables.

                                                    • -
                                                    • Innovate: be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                    • -
                                                    • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                    • +
                                                    • Work with data specialist to assess current capabilities and identify high-level business data requirements
                                                    • +
                                                    • Analyze identified data quality issues against source system and existing data quality capabilities to confirm the source of the data quality
                                                    • +
                                                    • Work under general guidance of Data Specialists or Managers to identify, design, develop and support data management solutions for the bank
                                                    • +
                                                    • Work with IT to deliver on data requirements
                                                    • +
                                                    • Understand the banks source systems, data and metadata
                                                    • +
                                                    • Work on TD platform to deliver data solutions required for analytics and modelling solutions
                                                    • +
                                                    • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                                                    • +
                                                    • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                                                    • +
                                                    • Support a positive work environment that promotes service to the business, quality, innovation and ensure timely communication of issues/ points of interest
                                                    +

                                                    -

                                                    About you

                                                    -

                                                    You are a fit for the role of an Applied Research Scientist if you have:

                                                    -
                                                      -
                                                    • Ph.D. in a relevant discipline or Master's plus a comparable level of experience

                                                    • -
                                                    • At least one-year industry experience building ML/NLP systems

                                                    • -
                                                    • Solid software engineering skills for prototyping

                                                    • -
                                                    -

                                                    Preferred qualifications

                                                    +

                                                    Requirements

                                                    +
                                                    + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                      -
                                                    • 5+ years academic or industry experience building ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                    • -
                                                    • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                    • -
                                                    • Outstanding communication, organization, and data-driven decision making

                                                    • -
                                                    • Publications at workshops or conferences such as ACL, EMNLP, KDD, ICML, NeurIPS, or similar

                                                    • +
                                                    • Undergraduate degree or technical certificate
                                                    • +
                                                    • Three (3) or more years relevant experience
                                                    +

                                                    -

                                                    What's in it for you

                                                    -

                                                    At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                    -
                                                      -
                                                    • -

                                                      Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                      -
                                                      • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                      -
                                                    • -
                                                    • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                    • -
                                                    • Perks: Social events & activities, employee discount programs

                                                    • -
                                                    • Social Impact: Paid time off for volunteering virtually or in your community

                                                    • +

                                                      Hours

                                                      +
                                                      37.5
                                                      +

                                                      +

                                                      Inclusiveness

                                                      +

                                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                      +

                                                      +
                                                    ",,https://jobs.td.com/en-CA/jobs/12321597/modelling-forecasting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-04T15:35:27.679Z,False,0,9,40,https://talenthub.vectorinstitute.ai/jobs/51890050-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12321597/modelling-forecasting-analyst-toronto-ca/,expired,2021-02-22T14:34:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +69c39ccc-141b-4d2f-8aec-2945dcc31e97,51894517,CN,Senior Python Developer,on_site,"Toronto, ONTARIO, Canada",2021-02-22T14:54:31.242Z,"
                                                    +

                                                    +

                                                    At CN, we work together to move our company—and NorthAmerica—forward. Be part of our Information & Technology (I&T) team, acritical piece of the engine that keeps us in motion. From enterprisearchitecture to operational technology, our teams use the agile methodology toautomate and digitize our railroad ensuring our operations run optimally andsafely and our employees can focus on value-added tasks. You will be able todevelop your skills and career in our close-knit, safety-focused cultureworking together as ONE TEAM. The careers we offer are meaningful because thework we do matters. Join us!

                                                    +

                                                    +

                                                    Job Summary

                                                    +

                                                    The role of Specialist Capacity Performance and Reliability (CPR) Software Development is to contribute to the solution by analyzing functional specifications to identify the best technical design (blueprint) and coding parts of the application. The Specialist takes full responsibility of assigned deliverables, aligns own workload and focuses on key tasks in order to deliver as per service commitment, leveraging own expertise and skill set to achieve delivery goals. Depending on the assignment, the role may apply in either a Project, Enhancement or Support environment.

                                                    +

                                                    +

                                                    The CPR Specialist will focus on the enhancement of the CPR Automation Framework to support the PTC, Rail Automation, and Automated Track Inspection programs.

                                                    +

                                                    +

                                                    Main responsibilities

                                                    +
                                                      +
                                                    • Write performing quality code to fulfill design and pass code review with minimal number of defects

                                                    • +
                                                    • Apply configuration on development environment when required

                                                    • +
                                                    • Participate in implementing full product in production. Supports developer in providing application versions and details for implementation plan.

                                                    • +
                                                    • Interact with Functional Designer to understand requirements. Highlight the technical impacts of the functional design on existing applications based on a detailed analysis.

                                                    • +
                                                    • Deliver technical design and database structure for medium to high application complexity

                                                    • +
                                                    • Maintain technical documentations

                                                    • +
                                                    • Contribute in developing the design and coding standards that will apply to the whole practice

                                                    • +
                                                    • Document blueprint based on requirements & functional designs

                                                    • +
                                                    • Ensure Quality KPI are identified, measured and produced ensuring respect of development standards. Ensure right level of testing (Unit & Assembly) is consistent across all projects

                                                    • +
                                                    • Managing Life cycle of delivery of complex software solution

                                                    • +
                                                    • Work with Project Managers to support the planning and delivery to ensure project commitments are met

                                                    • +
                                                    • Understand rail architecture in order to develop data models of all integration points

                                                    -

                                                    -

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -

                                                    -

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    -

                                                    Accessibility

                                                    -

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    -

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    -

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/503433/Applied-Research-Scientist-Machine-Learning/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-15T19:01:33.897Z,False,0,5,80,https://talenthub.vectorinstitute.ai/jobs/58161465-applied-research-scientist-machine-learning-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/503433/Applied-Research-Scientist-Machine-Learning/,expired,2021-04-12T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,PhD,New Posting, -be07658e-f916-4666-8c45-513ee81d2880,58540157,Intact Financial Corporation,"Senior Python Developer (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-04-14T17:43:20.414Z,"
                                                    -

                                                    How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you visit our team, you'll be in for quite the surprise!

                                                    Our team merges the speed and culture of a start-up with the resources and means of a large corporation. Located in downtown Montreal, we are a growing team, passionate about innovation and advanced technologies.

                                                    You dream of exciting challenges at one of Canada’s top 100 places to work? Join our Artificial Intelligence team and take part in building the next generation of software products.


                                                    -
                                                    Your Job
                                                    -

                                                    Hiring Manager : Van Tram

                                                    Workplace : Toronto (700 University Ave)

                                                    Your mission within our Innovation Lab :

                                                    • Participate in the design and application design around an event-oriented architecture.
                                                    • Help our testers in setting up component and integration tests.
                                                    • Participate in the development and evolution of backend components for the execution of our algorithms.
                                                    • Participate in the technological watch and definition of development standards to ensure system efficiency, resilience and sustainability.
                                                    • Optimize the platform for maximum velocity and scalability.
                                                    • Optimize and prioritize development tasks in collaboration with the team.
                                                    • Ensure the high level of quality of the work delivered.
                                                    • Strengthen the development team productivity.
                                                    • Oversee the development of appropriate tactics to achieve objectives.
                                                    • Support and be proactively involved in problem situations or issues.
                                                    • Play a Technical Leader / Mentor role for Squad members.

                                                    -
                                                    Your Skills
                                                    -

                                                    • Bachelor’s in computer engineering, computer science or related discipline, with a minimum of 5 years of significant experience in development.
                                                    • Proficient in python language and a good understanding of programming languages such as Java, C# or C++.
                                                    • A very good understanding of machine learning and artificial intelligence
                                                    • Proficient in machine learning libraries and scientific calculation such as Scikit-learn, NumPy, SciPy, etc.
                                                    • Good knowledge of software engineering practices such as Agile, DevOps, CI/CD and others (continuous integration with GitLab, Gradle, Git, Docker, Kubernetes) CI/CD and others.
                                                    • Proficient with modern DevOps tools, such as Docker, OpenShift, Kubernetes, ELK, Jenkins.
                                                    • Good knowledge of Kafka.
                                                    • Knowledge of a deep learning framework such as Kubelfow, Tensorflow, PyTorch or other.
                                                    • Well documented and ability to make complex concepts easy to understand.

                                                    Here are a few reasons why others have joined our team :

                                                    • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                    • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                    • A comprehensive financial rewards program that recognizes your success
                                                    • An extensive, flexible benefits package
                                                    • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                    • A $350 annual wellness account that promotes an active lifestyle

                                                    -
                                                    Closing Statement
                                                    -

                                                    We are an Equal Opportunity Employer

                                                    At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                    If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                    Background Checks

                                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                    Internal Candidates

                                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                    Eligibility to Work in Canada

                                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                    #li-qc


                                                    -

                                                    -

                                                    -
                                                    ",,https://careers.intact.ca/ca/en/job/IFCOUS14862/Senior-Python-Developer-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-05-14T19:26:29.092Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/58540157-senior-python-developer-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14862/Senior-Python-Developer-Toronto-Intact-Lab,expired,2021-04-14T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -77cb32f4-0ea6-4bc3-8624-b96b8a137b20,58643809,Deloitte,"Machine Learning/NLP Lead, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-15T17:43:38.287Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Kitchener; Montreal; Ottawa; Toronto; Vancouver

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    As an NLP Lead, you will lead the development of deep learning models specially in the NLP field to deliver best-of-breed solutions for clients’ business problems and work with large amounts of unstructured data on a granular level, from various data sources. You will take a hands-on approach in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                                                    -

                                                    You will also design analytical plans and communicate insights on client projects and provide mentorship in planning and data collection, assist in pitches and proposal bids, assist in different areas of project management, including client projects and internal initiatives.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • Deep learning experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                    • 6+ years relevant work experience with applying DL, especially for NLP and working with data in any industry
                                                    • Experience with social media analytics using either AWS, Azure or GCP
                                                    • Strong experience with Machine Learning agile project management and other statistical analytical techniques, data mining, and predictive models is required
                                                    • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                    • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required. Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                    • +

                                                      Requirements

                                                      +

                                                      Experience

                                                      +
                                                        +
                                                      • Minimum 7-10 years overall work experience

                                                      • +
                                                      • Minimum of 5 years experience as a developer

                                                      -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +

                                                      Technical Skills and Competencies

                                                      +
                                                        +
                                                      • Experience in Project delivery and software engineering projects in a corporate or enterprise environment using Java and Python

                                                      • +
                                                      • Knowledge on test automation for Performance, Load and Functional Testing

                                                      • +
                                                      • Experience in the Design and Development of Test Traffic Generating tools

                                                      • +
                                                      • +

                                                        Proficient in programming technologies in area of expertise

                                                        +
                                                          +
                                                        • Java JDK8 or above, Jmeter framework, Gradle, Maven.

                                                        • +
                                                        • Python 2.7 and 3.X, knowledge of Flask, Twisted, Logbook

                                                        • +
                                                        • Networking protocols such as TCP/IP, IBM MQ, and Protocol Buffers aka PROTOBUF.

                                                        • +
                                                        • Kafka, Azure Event Hub, Elasticsearch, Logstash, and Kibana (ELK)

                                                        • +
                                                        • Application development of REST-based API's (json/yaml/OpenAPI) using python, and Micro services,

                                                        -


                                                        The next step is yours

                                                        -

                                                        Sound like The One Firm. For You?

                                                        -

                                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                        -

                                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                        -

                                                        -

                                                        Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,feed-importer@jobboard.io,,,,2021-05-15T19:07:00.000Z,False,0,2,38,https://talenthub.vectorinstitute.ai/jobs/58643809-machine-learning-nlp-lead-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,expired,2021-04-15T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -a81c259d-335d-4ca2-9342-76a39173add9,58855680,Deloitte,"Manager - Intelligent Automation, Omnia AI Toronto",on_site,"Toronto, Ontario, Canada",2021-04-16T17:43:14.847Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Ottawa; Toronto

                                                    -

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    As a Manager in the Intelligent Automation (IA) Omnia AI offering, you will be part of a team that delivers IA solutions to our clients and supports evaluation, architecture, and implementation of IA opportunities. We will count on you to resolve incidents quickly and proactively, advise and implement value-added enhancements that can transform our clients' business and provide excellent customer service. Responsibilities include:

                                                    -
                                                    • Developing and maintaining long term business relationships with excellent client service, and leveraging relationships to develop IA applications
                                                    • Leading projects and scrum teams in agile automation development lifecycles
                                                    • Managing and prioritizing multiple projects simultaneously with a proven ability to present new ideas, lead & deliver business engagements
                                                    • Manage executive / leadership communication internally and with clients
                                                    • Lead the creation and ongoing refinement of an appropriately tailored IA solution that provides the optimum platform for rapid and repeatable delivery of automated processes
                                                    • Lead process workflow modeling in order to collaborate on IA candidacy and business case
                                                    • + +
                                                    • Proficient in DevOps, Build Automation using Azure/Jenkins, Docker and Kubernetes, Version Control (Bitbucket, Git), and Jira

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • 3+ years of leading automation delivery lifecycles with IA tools like BluePrism, UiPath, Automation Anywhere, Workfusion, Hyperscience, ABBY
                                                    • 8+ years of overall delivery experience
                                                    • A degree in computer science, engineering, business or a related field
                                                    • Knowledge and experience in implementing enterprise level IA solutions such as: BluePrism, UiPath, Automation Anywhere, Workfusion
                                                    • Good communication, organization, and presentation skills
                                                    • Experience and understanding of software development best practices.
                                                    • Experience with software development methodology such as Waterfall, Agile, etc.
                                                    • Good communication skills and experience in client facing role
                                                    • Eligibility for Canadian security clearances preferred
                                                    • +

                                                      +

                                                      Education/Certification/Designation

                                                      +
                                                      • Bachelor's degree in Computer Science or equivalent degree or work experience

                                                      +

                                                      General Skills and Competencies

                                                      +
                                                        +
                                                      • Analytic mindset and proven problem-solving abilities

                                                      • +
                                                      • Ability to summarize complex situations in an efficient manner

                                                      • +
                                                      • Ability to understand and follow corporate processes (e.g. S-SDLC & SOX processes).

                                                      • +
                                                      • Maintains composure in adverse situations.

                                                      • +
                                                      • Functional/technical proficiency with large full life cycle projects

                                                      • +
                                                      • Ability to understand and follow corporate processes (e.g. S-SDLC & SOX processes).

                                                      +

                                                      +

                                                      +

                                                      About CN

                                                      CN is aworld-class transportation leader and trade-enabler. Essential to the economy,to the customers, and to the communities it serves, CN safely transports morethan 300 million tons of natural resources, manufactured products, and finishedgoods throughout North America every year. As the only railroad connectingCanada’s Eastern and Western coasts with the Southern tip of the U.S. through a19,500 mile rail network, CN and its affiliates have been contributing tocommunity prosperity and sustainable trade since 1919. CN is committed toprograms supporting social responsibility and environmental stewardship. At CN,we work as ONE TEAM, focused on safety, sustainability and our customers,providing operational and supply chain excellence to deliver results.


                                                      +

                                                      +

                                                      +

                                                      +

                                                      CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                      +
                                                    +
                                                    +
                                                    Apply Now
                                                    +
                                                    +Share +
                                                    +
                                                    + Save Job
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Manager-Intelligent-Automation%2C-Omnia-AI-Toronto-ON-M5C-3G7/704071500/,feed-importer@jobboard.io,,,,2021-05-21T20:09:58.836Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/58855680-manager-intelligent-automation-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager-Intelligent-Automation%2C-Omnia-AI-Toronto-ON-M5C-3G7/704071500/,expired,2021-04-16T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -6c289d12-6306-41cc-bd34-59190220e15a,59312463,Borealis AI,Data Architect – Distributed Systems,on_site,"Toronto, - Montreal, - Waterloo, - Vancouver",2021-04-21T19:44:45.294Z,"

                                                    What’s the opportunity?

                                                    We’re looking for an enthusiastic distributed systems architect who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Architect, you’ll be responsible for owning and delivering distributed systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                    -

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    Your responsibilities include:

                                                    • Serving as a technical lead for a team of data engineers
                                                    • Architecting, designing and building distributed systems for Borealis AI projects;
                                                    • Building efficient tools and processes for data governance and compliance
                                                    • Collaborating with research and business teams to model and deliver on their data needs;
                                                    • -

                                                    You’re our ideal candidate if you have:

                                                    • Have a bachelor’s degree in Computer Science, Software Engineering, or equivalent;
                                                    • Strong enterprise experience in designing and building data lakes;
                                                    • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                                    • 5+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                    • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                                    • Strong experience with the Unix command line and bash scripting;
                                                    • Familiarity to data governance is an asset;
                                                    • Strong communication skills and a collaborative attitude.
                                                    • Knowledge of professional software engineering best practices in for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                    • -

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • -

                                                    How to apply:

                                                    Please email your resume, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-05-21T20:13:03.913Z,False,1,0,14,https://talenthub.vectorinstitute.ai/jobs/59312463-data-architect-a-distributed-systems-at-borealis-ai,,expired,2021-04-21T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Bachelors Degree,New Posting, -d4e52c06-23b5-4d62-bb39-754243a310fb,59318372,Google,"Technical Specialist, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2021-04-21T20:33:24.973Z,"

                                                    Minimum qualifications:

                                                    -
                                                      -
                                                    • Bachelor's degree in Computer Science or equivalent practical experience.
                                                    • -
                                                    • Experience with traditional Analytic Warehouse solutions, “Big Data” technologies, Real Time Streaming, performance, and scalability optimizations.
                                                    • -
                                                    • Experience in implementing analytics systems architecture (e.g., data migration, streaming, security, etc.).
                                                    • -
                                                    • Experience with delivering technical presentations. Experience with cloud computing including cloud market and competitive dynamics.
                                                    • -
                                                    -

                                                    Preferred qualifications:

                                                    +
                                                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5699?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2021-02-25T15:42:33.385Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/51894517-senior-python-developer-at-cn,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5699?c=cn360&lang=en-US,expired,2021-02-22T14:54:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +ad308677-b522-40ce-a049-ed89a4706df2,51898824,Layer 6,Machine Learning Engineer – Full Stack ☑️,on_site,"Toronto, ON, Canada",2021-02-22T15:31:15.771Z,"

                                                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                    +

                                                    We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                    +

                                                    As Full Stack Engineer at Layer 6, you will learn about different machine learning algorithms and ways to analyze them. Using that knowledge, you will build intuitive interfaces to visualize data and answer questions about machine learning models. You will work with backend engineers to design web APIs. You will also work with the engineering team to solve challenges of developing high performance, robust and scalable systems.

                                                    +

                                                    Must-Have

                                                      -
                                                    • Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
                                                    • -
                                                    • Extensive technical sales experience or professional consulting experience in the fields of cloud computing, data, information lifecycle management and Big Data.
                                                    • -
                                                    • Experience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.
                                                    • -
                                                    • Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.
                                                    • +
                                                    • You have experience in designing and building a large single-page web application
                                                    • +
                                                    • Mastery of at least one front end application framework. (e.g. Elm, React/Redux)
                                                    • +
                                                    • Experience with JavaScript-based data visualization libraries like D3.js
                                                    • +
                                                    • You value good software design and sweat over details in user experience and also in code
                                                    • +
                                                    • You enjoy learning new technology and also educating others
                                                    • +
                                                    • You strive to communicate clearly and with empathy
                                                    • +
                                                    • You take great personal pride in building robust, scalable software
                                                    • +
                                                    • You are highly accountable and have a strong sense of ownership
                                                    • +
                                                    • Ability to do detailed code reviews and give thoughtful feedback
                                                    -

                                                    About the job

                                                    -

                                                    When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

                                                    -

                                                    With companies relying on Google Cloud, we regularly answer questions about technical features, helping customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks related to database migration and data back ends.

                                                    -

                                                    As a Technical Specialist for Data Analytics, you'll utilize both your technical and communication skills to address all aspects of the data lifecycle.

                                                    -

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    -

                                                    Responsibilities

                                                    -
                                                      -
                                                    • Support local teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle.
                                                    • -
                                                    • Identify business and technical requirements, conduct full technical discovery and architect customer solutions to meet gathered requirements.
                                                    • -
                                                    • Lead technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
                                                    • -
                                                    • Work hands-on with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments.
                                                    • -
                                                    • Travel as required for meetings, technical reviews and onsite delivery activities.
                                                    • -
                                                    ",,"https://careers.google.com/jobs/results/85388404805509830-technical-specialist-data-analytics-google-cloud/?location=Toronto,%20Canada&q=data",aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-05-19T21:20:00.000Z,False,0,5,53,https://talenthub.vectorinstitute.ai/jobs/59318372-technical-specialist-data-analytics-google-cloud-at-google,,expired,2021-04-21T20:33:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, -52f39744-ff9b-4cf3-ab5a-2544ed03ff85,59323044,Sun Life Financial,Senior Data Solutions Designer,on_site,"Toronto, ON, Canada",2021-04-21T21:19:29.891Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    We are looking for an experienced and high-performing person to join our Data and Analytics Solutions team as a Senior Data Solutions Designer.

                                                    -

                                                    -

                                                    This technical leadership role is responsible for designing critical data systems in consultation with Sun Life’s Business and Technology partners, including the holistic alignment of technologies, standards, and practices that enable SLF to deliver world class data and analytic systems.

                                                    -

                                                    -

                                                    The Data Solutions team is an evolving group leading SLF in the application of leading-edge solutions against SLF business opportunities. Our team is diverse and inclusive and value the variety of background and experience in all aspects of the role.

                                                    -

                                                    -

                                                    What will you do?

                                                    +

                                                    Nice to have

                                                      -
                                                    • Provide leadership on the design of robust and efficient data applications and standards.
                                                    • -
                                                    • Apply best practices to all solution design areas, including on premise, AWS, or a combination. This includes areas such as Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.
                                                    • -
                                                    • Mentor other data systems designers, both within your team and within other Technology or Business units, in order to support solution development and application of best practices.
                                                    • -
                                                    • Enable the expansion of the Data Solutions center of excellence through education support, publication of solution accelerators, and open discussions on data challenges and opportunities.
                                                    • -
                                                    • Provide high level estimates for project proposals and solution designs.
                                                    • -
                                                    • Integrate with project teams according to Systems Development Life Cycle (SDLC) methodology for either waterfall, lean or agile projects.
                                                    • -
                                                    • Provides consultation for the evaluation of complex data and software systems.
                                                    • -
                                                    • Build and manage effective working relationships with other departments, groups, or personnel.
                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    -

                                                    This is a senior solution role requires 10 years of experience in the following:

                                                    +
                                                  • Experience with Elm for building front-end applications
                                                  • +
                                                  • Experience with functional programming
                                                  • +
                                                  • Experience with data analysis and visualization
                                                  • +
                                                  • Knowledge of machine learning algorithms
                                                  • +
                                                  • Comfortable with math (linear algebra, calculus)
                                                  • +",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-03-24T15:31:17.017Z,False,0,0,62,https://talenthub.vectorinstitute.ai/jobs/51898824-machine-learning-engineer-full-stack-at-layer-6,,expired,2021-02-22T15:31:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, +ddb90cb7-0a6a-4b39-b676-5c4bbfddbb06,52158747,RBC,"Financial Analyst, Summer 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-02-24T21:37:11.219Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    Are you interested in the opportunity to work as a Financial Analyst? By applying to this job posting, you will be considered for over 80 roles available across RBC Finance including Technology & Operations, Capital Markets, Wealth Management, Personal and Commercial Banking, Internal Audit and Corporate Functions!

                                                    +

                                                    +

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14th, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • Build/design experience related to data service design and implementation.
                                                    • -
                                                    • Software development life cycle /SDLC; waterfall, lean and agile
                                                    • -
                                                    • Experience in designing solutions for data warehouse system integrations.
                                                    • -
                                                    • Mainframe, DB2, SQL Server, and Informatica PowerCenter usage.
                                                    • +
                                                    • Financial modelling forecasting and analysis
                                                    • +
                                                    • Work with various visualization programs
                                                    • +
                                                    • Interpret data using careful business-grounded logic and analytics techniques to test controls, find exceptions, and discover insights and trends.
                                                    • +
                                                    • Participate in research, analyses and accounting assessments
                                                    • +
                                                    • Be responsible to develop and run financial models
                                                    • +
                                                    • Identify opportunities to improve and streamline current processes
                                                    • +
                                                    • Provide strong financial governance, including assisting with monthly reporting cycle and related account reconciliations and standards of documentation
                                                    -

                                                    -

                                                    2+ years of experience:

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have

                                                      -
                                                    • Building integrated systems from on premise to cloud based infrastructures.
                                                    • -
                                                    • Big Data technologies (Hadoop, Cassandra, Redshift, etc.)
                                                    • -
                                                    • Documentation skills including technical writing, Visio, PowerPoint, flowcharting
                                                    • -
                                                    • AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services
                                                    • +
                                                    • Currently enrolled in a Canadian post-secondary institution with a focus in finance, accounting, business, commerce, mathematics, statistics, acturial sciences or a related discipline
                                                    • +
                                                    • Currently enrolled in a post-secondary school and eligible to complete a work term
                                                    • +
                                                    • Experience or understanding of financial analysis, financial modelling, financial forecasting and financial reporting
                                                    • +
                                                    • Knowledge in data analytics and data visualization tools
                                                    • +
                                                    • Leadership acumen and a passion to apply it in a dynamic business environment
                                                    • +
                                                    • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                    • +
                                                    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                    • +
                                                    • Able to work effectively and reliably under pressure
                                                    • +
                                                    • Excellent MS Office skills – Word, Outlook, Excel and PowerPoint
                                                    -

                                                    -

                                                    Preferred Skills:

                                                    +

                                                    +

                                                    Nice-to-have

                                                      -
                                                    • Extremely strong communication, critical thinking, and analytical skills. This includes skills such as conceptual requirements interpretation, solution creation, and problem-solving abilities.
                                                    • -
                                                    • Excellent collaboration and leadership skills, a proven ability to adapt to challenges, and a strong interest in coaching and mentoring colleagues.
                                                    • +
                                                    • Previous experience working in a financial environment
                                                    • +
                                                    • Previous experience in a case competition or hackathon
                                                    • +
                                                    • VBA, SQL, Tableau, Power BI, Python
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • A flexible work schedule, so long it includes core working hours
                                                    • -
                                                    • Being part of our journey in developing the next greatest digital experience
                                                    • -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                    • -
                                                    • An extensive support system for continual learning including company-run courses, access to online learning platforms
                                                    • -
                                                    -

                                                    -

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    -

                                                    Salary Range:

                                                    -

                                                    73,800/73 800 - 124,100/124 100

                                                    -

                                                    -

                                                    Job Category:

                                                    -

                                                    IT - Technology Services

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Data-Solutions-Designer_JR00040692?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-05-19T21:19:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/59323044-senior-data-solutions-designer-at-sun-life-financial,,expired,2021-04-21T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -06a73831-9887-412a-98d5-46953bb6f990,59405571,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2021-04-22T14:47:44.970Z,"

                                                    Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                    -

                                                    Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                    -

                                                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                    -

                                                    Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                    -

                                                    As a machine learning scientist, you will

                                                    -
                                                      -
                                                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                    • -
                                                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                    • -
                                                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                    • -
                                                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                    • -
                                                    -

                                                    Required Qualifications

                                                    -
                                                      -
                                                    • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                    • -
                                                    • Strong background in machine learning
                                                    • -
                                                    • 5+ years of research experience with publication record
                                                    • -
                                                    • Proven track record of applying machine learning to solve real-world problems
                                                    • -
                                                    -

                                                    Preferred Qualifications

                                                    -
                                                      -
                                                    • Experience with deep learning and/or collaborative filtering
                                                    • -
                                                    • Hands on experience in software systems development and SaaS applications
                                                    • -
                                                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                    • -
                                                    • Experience using GPUs for accelerated deep learning training
                                                    • -
                                                    • Familiarity with AWS
                                                    • -
                                                    -

                                                    Benefits

                                                    -
                                                      -
                                                    • Entrepreneurial and inclusive culture
                                                    • -
                                                    • Excellent health coverage
                                                    • -
                                                    • Four weeks paid vacation
                                                    • -
                                                    • Catered lunches twice a week over machine learning talks
                                                    • -
                                                    • Opportunities to collaborate with faculty at the Vector Institute
                                                    • -
                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-05-22T14:47:51.260Z,False,5,0,105,https://talenthub.vectorinstitute.ai/jobs/59405571-machine-learning-scientist-at-layer-6,,expired,2021-04-22T14:47:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, -ceb9ba63-420a-49c6-97c8-853932b26042,59407356,Scotiabank,"Senior Product Manager, Customer Insights, Data & Analytics",on_site,"Toronto, ON, Canada",2021-04-22T15:01:44.969Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    -

                                                    Purpose:

                                                    -

                                                    -


                                                    The CID&A team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                    -


                                                    The role of the Senior Product Manager operates within the Data Enablement and Architecture team. The L8 Senior Product Manager is responsible for leading the Data Automation products as the Lead Product Manager. This role will be tasked with establishing and maintaining a prioritized roadmap against our overall vision while ensuring our products accurately reflect our customer needs.

                                                    -


                                                    We are looking for a leader who will work closely with other analytics teams, technology teams, engineering teams, data architects, data modelers, and other data teams in the bank to establish a holistic product strategy around Data Automation & Management.
                                                    You are strong at setting a vision and roadmap to deliver customer-focused user experiences. You inspire those around you to get behind the vision; you manage teams and deliver features that are enjoyable, easy to use, and focus on driving value from data. You never settle, are always looking for new ways to solve big customer problems. You have demonstrated the ability to collaborate effectively with internal and external partners—including technologists, product managers, engineers, designers and senior leadership.

                                                    -

                                                    -


                                                    Key Accountabilities:

                                                    -


                                                    • Be the product evangelist. Become the subject matter expert for the Data Automation team and our internal customers on the product discipline.
                                                    • Be hands-on. Design, Prototype, Configure - validate solutions rapidly to ensure we solve the right problems, in the right order.
                                                    • Be a storyteller. Author & design high-quality specifications and communicate specific, actionable requirements to your engineering teammates
                                                    • Be a leader. Look for an opportunity to innovate, challenge conceptions and existing status quo to modernize towards a better future
                                                    • Be an owner. Cultivate the roadmap for your new product, collaborate closely with cross-functional teams
                                                    • Be agile. Design, implement, iterate.
                                                    • Work closely with the product team to ensure delivery of a holistic data product roadmap and help mature product management practices
                                                    • Owns the roadmap against the enterprise data strategy focus areas of Data Automation
                                                    • Influences Director and VP level stakeholders to understand data from an enterprise perspective
                                                    • Work closely with enterprise technology teams to align the data automation roadmap to the data strategy and ensure proper product management and ownership of data automation products
                                                    • Work closely with enterprise analytics teams of Data Scientists to ensure our product can drive real business outcomes
                                                    • Drives consensus across domains to achieve enterprise consistency
                                                    • Work with engineering leads and architects on breaking-down, scoping, and estimating tasks.
                                                    • Participate in planning and retrospective sessions, attend stand-ups, etc.

                                                    -

                                                    -


                                                    Functional Competencies:

                                                    -


                                                    • Proven product management experience in a complex enterprise environment
                                                    • Strong communication skills, both written and spoken
                                                    • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                    • Experience with agile delivery frameworks
                                                    • Experience with the analytics & data science life cycle
                                                    • Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability would be an asset
                                                    • Knowledge of big data technologies (Cloudera/Hortonworks, Cassandra, Spark, other) would be an asset.
                                                    • Knowledge of relational databases (Oracle, SQL Server, MySQL, PostgreSQL) would be an asset.
                                                    • Understanding of CI/CD Technologies (Jenkins, Git, Bitbucket, other).
                                                    • Experience in Cloud Data Solutions would be an asset
                                                    • Ability to solve ambiguous and typically novel problems that require the effort of several teams and organizational alignment
                                                    • Attention to details, high standards for quality.
                                                    • Desire to learn, grow yourself and your team.
                                                    • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                    • Writing and maintaining related documentation.

                                                    -

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    -

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Manager%2C-Customer-Insights%2C-Data-&-Analytics-ON-M5C2V9/545871617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/59407356-senior-product-manager-customer-insights-data-analytics-at-scotiabank,,expired,2021-04-22T15:01:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d0ccee02-7bb8-430a-ba37-73dcade3e832,59407671,Scotiabank,Manager (Data Analytics),on_site,"Toronto, ON, Canada",2021-04-22T15:04:13.261Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    -

                                                    Purpose of Job:

                                                    -

                                                    Reporting into the Senior Manager, Enterprise Risk, Strategy and Execution, the manager will play an active role in implementation and automation of the Bank’s enterprise risk management program.

                                                    -

                                                    -

                                                    Job Responsibilities:

                                                    -

                                                    -
                                                      -
                                                    • Document the business requirements for regulatory returns, board reports, and select sections of the Bank’s financial statements;
                                                    • -
                                                    • Enhance an integrated reporting data structure to provide information to support business decisions;
                                                    • -
                                                    • Summarize and describe changes in the Bank’s credit risk globally for internal and external stakeholders;
                                                    • -
                                                    • Provide fast and reliable revision of reports as requested by the Board, Executive Management and Regulators;
                                                    • -
                                                    • Provide error-free reporting, test changes to various data sources, ensure timely delivery of reports;
                                                    • -
                                                    • Review business requirements and conduct reasonability reviews of reports and extracts produced elsewhere and identify dimensional differences;
                                                    • -
                                                    • Streamline data flow and generate stakeholder reports related to the Credit Risk Appetite.
                                                    • -
                                                    • Providing Subject Matter Expertise for new regulatory reporting expectations, including providing support in interpreting, formalizing, and communicating business requirements;
                                                    • -
                                                    • Validating and cross-checking data, and analyzing period-over-period changes for a variety of reports;
                                                    • -
                                                    • Communicating effectively with departments and teams across the bank.
                                                    • -
                                                    • Documenting Global Risk Management – Enterprise Risk existing and new reports;
                                                    • -
                                                    • Embracing the latest technology for seamless reporting and advanced analytics;
                                                    • -
                                                    • Ensuring timely delivery and verification of data from other departments;
                                                    • -
                                                    • Producing and/or assisting with producing Global Risk Management-Enterprise Risk major reports, monthly and quarterly and ensuring their timely delivery; Business testing of enhancements to existing data sources by performing comparative analysis;
                                                    • -
                                                    • Communicating effectively with departments and teams across the bank.
                                                    • -
                                                    • Proven problem resolution skills;
                                                    • -
                                                    -

                                                    -

                                                    Job Requirements:

                                                    -

                                                    -
                                                      -
                                                    • Must have SAS or Python and PowerBI.
                                                    • -
                                                    • Must have advanced knowledge of MS Office (especially Excel and Access) and a general understanding of relational databases and data mining.
                                                    • -
                                                    • Must have experience with SQL to run queries in different environments, and aggregate data from several sources in various formats
                                                    • -
                                                    • Knowledge of banking products, accounting and finance principles, exposure measurements, reporting to regulators and Senior Executives;
                                                    • -
                                                    • Strong computing, technical, and analytical skills. Good knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential;
                                                    • -
                                                    -
                                                      -
                                                    • Graduate university degree (mathematics, business administration, statistics or equivalent)
                                                    • -
                                                    • CFA or FRM designation an asset.
                                                    • -
                                                    -

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    -

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-%28Data-Analytics%29-ON-M5H1H1/546289617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/59407671-manager-data-analytics-at-scotiabank,,expired,2021-04-22T15:04:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -03b25cc9-9cdb-4434-92e5-b967c474851d,59408076,Scotiabank,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-04-22T15:08:17.664Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    Purpose:

                                                    -

                                                    -

                                                    The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                    -


                                                    The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

                                                    -

                                                    -


                                                    Key Accountabilities:

                                                    -


                                                    • Design and implement services and components to enable enterprise-wide use of data
                                                    • Automate and re-factor services code.
                                                    • Work closely with data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
                                                    • Participate in planning and retrospective sessions, attend stand-ups, etc.

                                                    -

                                                    -


                                                    Functional Competencies:

                                                    -


                                                    • Experience in building data software; experience with ETL a plus
                                                    • Experience working with big data technologies (e.g. Spark, Hive, Airflow)
                                                    • Experience with object-oriented programming languages (e.g. Scala, Python, Java)
                                                    • Experience working with relational databases (e.g. MySQL, PostgreSQL)
                                                    • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
                                                    • Understanding of data management disciplines such as data quality, data profiling, etc.
                                                    • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
                                                    • Experience with performance tuning data pipelines
                                                    • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                    • Strong communication skills, both written and spoken
                                                    • Team player, self-starter
                                                    • Attention to details, high standards for quality
                                                    • Writing and maintaining clear documentation
                                                    • Previous experience working in a financial institution a plus

                                                    -

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5C2V9/546663817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-22T15:08:19.874Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/59408076-senior-data-engineer-at-scotiabank,,expired,2021-04-22T15:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c48f9459-4cf2-4979-be30-e7621d5c8556,59408254,Scotiabank,Data Scientist,on_site,"Toronto, ON, Canada",2021-04-22T15:09:05.993Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Purpose

                                                    -

                                                    -

                                                    The Threat Monitoring - Data Scientist is accountable to act as a Senior resource and SME in one of two key functions, being the development, of approaches and techniques or detecting Money Laundering activity across the bank globally, and/or within the Threat Analytics team to ensure that current and future high risk AML activities are identified and referred to Investigations for review.

                                                    -

                                                    -

                                                    Accountabilities

                                                    -

                                                    -

                                                    1. Perform data extrapolation across multiple data sources and create data mosaics

                                                    -
                                                      -
                                                    • Develop data mosaics by combining information across different sources including law enforcement, news, social media, etc.
                                                    • -
                                                    • Construct data frameworks that will be used to measure, and monitor threats to the bank
                                                    • -
                                                    -

                                                    -

                                                    2. Perform system integration between global entity databases and transaction systems.

                                                    -
                                                      -
                                                    • Build scalable solution to ingest and process entity databases and business transaction systems.
                                                    • -
                                                    • Extend classic standalone algorithms to work in parallel in Hadoop ecosystem and GCP.
                                                    • -
                                                    • Build batch-based and real-time entity resolution process on serve various business transaction systems.
                                                    • +
                                                    • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                    • +
                                                    • Leaders who support your development through coaching and learning opportunities
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive and highly performing team
                                                    +

                                                    +

                                                    HO2021

                                                    +

                                                    QAA2021

                                                    +

                                                    TAD2021

                                                    +

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: Virtually, at home
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Your Home Office
                                                    Employment Type: [[filter7]]
                                                    Career Level: Student Job
                                                    Application Deadline: 03/14/2021
                                                    Platform: CFO Group

                                                    Req ID: 298211
                                                    Ad Code(s):

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/298211/Financial-Analyst-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:12:00.000Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/52158747-financial-analyst-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/298211/Financial-Analyst-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +29df8034-53f6-4c38-9f2c-ce4bdbe8090a,52414659,Vector Institute (Internal Opportunities Only),Paid TA Opportunity Vector Entity Resolution project,full,"Toronto, ON, Canada",2021-02-26T21:39:49.659Z,"

                                                    Vector has an upcoming TA opportunity available to work on a project directly with Vector sponsors.

                                                    +

                                                    Overview

                                                    +

                                                    The Vector Institute has a unique opportunity to partner with our Industry sponsors on an Entity Resolution Project. This project aims to exploring the use of machine learning to replicate or surpass human ability in decisioning potential match results (alerts) from payment sanction filtering solutions. This project will result in the creation of multiple models to be trained and tested with multiple sponsors’ data. Industry sponsor experience will be leveraged to explore a novel strategy for training a shared model with data from all participants while simultaneously avoiding data sharing.

                                                    +

                                                    Position Available: 1 TA

                                                    +

                                                    Payment: Up to $13,000 ($50/hour x 260 hours)

                                                    +

                                                    Duration: March-September 2021

                                                    +

                                                    Responsibilities

                                                    +

                                                    Assist sponsors with: (a) environment alignment & construction; (b) model building, training, ensemble & tuning.

                                                    +

                                                    Working sessions: Hands-on working hours to assist with project participants weekly or bi-weekly.

                                                    +

                                                    Support publication of results

                                                    +

                                                    DEADLINE FOR RESUMES March 9, 2021

                                                    +",erikg@vectorinstitute.ai,,erikg@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2021-03-28T21:39:00.000Z,False,5,0,55,https://talenthub.vectorinstitute.ai/jobs/52414659-paid-ta-opportunity-vector-entity-resolution-project-at-vector-institute-internal-opportunities-only,,expired,2021-02-01T21:39:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Education,Entry Level,Bachelors Degree,New Posting, +780b66f3-c42e-4f89-8323-a86b8dd4ed71,52746865,KPMG,"Data Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-03-01T14:43:47.738Z,"

                                                    Job Description

                                                    +

                                                    Overview

                                                    +

                                                    Why KPMG Digital?

                                                    +

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    -

                                                    3. Onboard and enrich data from global sources

                                                    +

                                                    KPMG Digital Toronto has an exciting opportunity for a Data Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                      -
                                                    • Develop processes to clean and transform raw data from bank and third-party sources
                                                    • -
                                                    • Work with team members and domain experts to extract features
                                                    • +
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • +
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • +
                                                    • Have a permanent “figure it out” mindset

                                                    -

                                                    4. Perform threat monitoring analytical techniques

                                                    +

                                                    Video: Digital Opportunities

                                                    +


                                                    What you will do

                                                      -
                                                    • Use classic and latest machine learning research results to identify potential threats to bank channels
                                                    • -
                                                    • Use classic and latest machine learning research results to perform data canonicalization on the matched entity references (bad and good actors).
                                                    • -
                                                    • Use graph theory techniques to identify relationships and groups of bad actors.
                                                    • +
                                                    • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                    • +
                                                    • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                    • +
                                                    • Review data quality and definitions and perform data cleansing and data management tasks.
                                                    • +
                                                    • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                    • +
                                                    • Architect the data platform for scalability, repeatability and performance.
                                                    • +
                                                    • Architect data pipelines to support streaming data, batch data, etc.
                                                    • +
                                                    • Develop standards for data processes and automate routine tasks.
                                                    • +
                                                    • Run queries for descriptive analytics and provide formatted result sets.
                                                    • +
                                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                    • +
                                                    • Support application testing and production implementation as required.
                                                    • +
                                                    • Bridge the gap between technical platform needs and business issues.
                                                    • +
                                                    • Enable overall solution and full-scope architecture design and build.
                                                    • +
                                                    • Design software architecture following best practices after understanding customer enterprise environment requirements.
                                                    -

                                                    -

                                                    5. Other

                                                    +


                                                    What you bring to the role

                                                      -
                                                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                    • -
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                    • -
                                                    • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                    • +
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • +
                                                    • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                    • +
                                                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                    • +
                                                    • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                    • +
                                                    • Experience in mainstream cloud services: AWS, MS Azure, GCP and IBM Cloud Pak

                                                    -

                                                    Education / Experience

                                                    -

                                                    +

                                                    Keys to your success:

                                                      -
                                                    • Degree in Computer Science or related field
                                                    • -
                                                    • Strong foundation in Software Engineering and Core Computer Science
                                                    • -
                                                    • Strong background with some of the technologies.
                                                    • -
                                                    • Technology Stack: Java, Python, Hive, Spark, Scala, Hadoop/MapReduce, Unix/Linux, GCP
                                                    • -
                                                    • Quick learner, inquisitive by nature, ability to learn independently
                                                    • -
                                                    • Ability to communicate highly technical material to general audience
                                                    • +
                                                    • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                                    • +
                                                    • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations Share knowledge learned through various forums and stay current to industry trends.
                                                    +

                                                    All applications are due Tuesday, January 19th, 2021 at 11:59 pm

                                                    +


                                                    Our Values, The KPMG Way

                                                    +

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    +

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    +

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-ON-M5H1B6/546515017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,11,42,https://talenthub.vectorinstitute.ai/jobs/59408254-data-scientist-at-scotiabank,,expired,2021-04-22T15:09:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -e778e78e-7947-4d10-99bf-6fcda09041b6,59413893,TD Bank Group,Senior Analytics Implementation Specialist,on_site,"Toronto, ON",2021-04-22T15:31:19.306Z,"
                                                    +

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6877?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-31T14:43:49.135Z,False,0,1,24,https://talenthub.vectorinstitute.ai/jobs/52746865-data-engineer-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-03-01T14:43:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, +e16fb54a-b543-418c-b1b3-4c55c1903405,52747261,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2021-03-01T15:30:08.460Z,"

                                                    Company Overview

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    @@ -22556,45 +21587,27 @@ e778e78e-7947-4d10-99bf-6fcda09041b6,59413893,TD Bank Group,Senior Analytics Imp

                                                    Department Overview

                                                    -
                                                    -

                                                    The Digital Data and Analytics (DDA) group is looking for highly motivated and driven individuals to join a team of analytics implementation specialists in a fast-paced environment supporting multiple digital & mobile platforms and applications across many lines of business within TD Bank Financial Group (Canada & U.S.)

                                                    -

                                                    -

                                                    Reporting into the Manager of Measurement Solutions, this position is accountable for implementation, continued integration and knowledge transfer of our analytics stack including Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services and Ensighten.

                                                    -

                                                    -

                                                    As a whole, the DDA team is responsible for extracting business and customer value from digital data. We provide automated reporting and visualization to business partners, and use advanced analytics, data science and machine learning to build data-driven solutions to deliver richer, more connected personalized experiences to our customers.

                                                    -

                                                    -

                                                    Within DDA, the Measurement Solutions team is responsible for managing and enhancing the analytics capabilities of TD Bank digital & mobile projects, ad-hoc tagging requests and marketing support with best-in-class measurement strategies.

                                                    -
                                                    +
                                                    TD Auto Finance is a division within TD Bank that offers Prime and Non-Prime financing solutions for automotive and recreational products across a wide Dealer network in Canada. Our vision‎ is To Be the Better Automotive Lender and our mission is to be the Most Customer-Centric, Innovative Auto Lender Where Passionate People Deliver Legendary experiences to our customers.

                                                    Job Description

                                                    -

                                                    Collaborate with our digital stakeholders to define KPIs, reporting requirements, and overall measurement strategy for our digital and mobile customer journeys

                                                    -

                                                    • Translate business requirements into technical specifications for custom digital analytics implementation using a combination of data layer, processing rules, SAINT classification, report suite configuration, custom JavaScript, JSON and applicable integrations with other systems

                                                    -

                                                    • Manage daily operations and implementation of TD’s analytics stack (Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten) and 3rd party marketing tags (DoubleClick, Rakuten, Facebook, etc.)

                                                    -

                                                    • Develop and own all implementation documents such as SDR, Data Layer specifications, custom JavaScript

                                                    -

                                                    • Ensure the timely delivery and accuracy of documentation and technical coding (HTML, JavaScript, ActionScript) via our Tag Management System

                                                    -

                                                    • Collaborate with technology teams on implementation of analytics solutions, including guidance on data layer implementation and troubleshooting, data feeds and integrations with other systems

                                                    -

                                                    • Keep abreast of product updates (Adobe, Ensighten), best practices and proactively follow up with required changes in our implementation and appropriate communications

                                                    -

                                                    • Provide consultative service, training and validation support to quality assurance/testing teams.

                                                    +

                                                    Reporting to the Manager – Analytics & Insights – the Senior Business Insights Analyst will engage with all levels of the TD Auto Finance team and utilize their analytical skills to provide value added information to business stakeholders.

                                                    +

                                                    · Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view. Build visual aids (i.e. charts, tables, trend analysis, etc.) to relay findings to a wide span of audiences.

                                                    +

                                                    · Manage, update and maintain financial models and profitability reports for consumption of product partners. Liaison with a variety of teams (TBSM, Capital, Risk, Finance) to understand changes to financial variables and its impact to the models output.

                                                    +

                                                    · Build self-serve reporting using Tableau, effectively visualizing the right data, to the right group of people.

                                                    +

                                                    · Ensure integrity of data used for reporting, reconciling data sources and developing quality checks.

                                                    +

                                                    · Continuously acquire and enhance knowledge of auto lending business, market insights and advanced analytical tools to best provide business solutions to product partner

                                                    Requirements

                                                    -

                                                    Candidate Requirements:

                                                    -

                                                    • 4+ years’ experience in analytics, with digital experience preferred

                                                    -

                                                    • 5+ years’ experience of web development including JavaScript, jQuery and Angular

                                                    -

                                                    • Strong understanding of JSON structures and best practices

                                                    -

                                                    • Strong understanding of Native Mobile development standards

                                                    -

                                                    • Strong understanding of JavaScript & Node.js & DOM manipulation, web markup, including HTML5 and CSS3

                                                    -

                                                    • Expertise with tag management tools (DTM, Adobe Launch, Tealium, Ensighten) and their configuration

                                                    -

                                                    • All-hands experience in implementing/troubleshooting/deploying the Adobe stack, Google 360 and/or 3rd party marketing tags using DTM or Adobe Launch or Ensighten

                                                    -

                                                    • Expert level knowledge in developing Adobe Analytics Solution Design Reference (SDR)

                                                    -

                                                    • Understanding of Adobe Analytics processing rules, SAINT classifications, report suite configuration, and data feeds

                                                    -

                                                    • Experience architecting a Data Layer Specification and guiding the development team on implementation and troubleshooting

                                                    -

                                                    • Experience debugging Adobe Analytics utilizing browser network calls, extensions, and tools such as Fiddler, Charles or Omnibug

                                                    -

                                                    • Ability to own and work independently on assigned deliverables, but also collaborate with multiple team members and stakeholders when necessary

                                                    -

                                                    • Solid communications skills – verbal and written

                                                    -

                                                    • Strong time-management skills and ability to work on multiple projects at once

                                                    +

                                                    · Bachelor’s degree in Business Administration, Mathematics, Computer Science or Economics strongly preferred.

                                                    +

                                                    · Post Graduate degree or professional designation (MBA, CFA) would be an asset but not required.

                                                    +

                                                    · 4+ years of analytical experience required.

                                                    +

                                                    · 3+ year experience with SQL, in specific generating variety of complex queries, familiarity with BI tools such as tableau, Python, R will be an asset.

                                                    +

                                                    · Ability to accurately, thoroughly and efficiently analyze high volumes of data from a variety of sources, synthesize and summarize numerous data points, and formulate data into complete and simple formats.

                                                    +

                                                    · Automotive financing experience considered an asset.

                                                    +

                                                    · Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank and with multiple stakeholders, vendors, and other financial service providers.

                                                    Hours

                                                    @@ -22603,708 +21616,680 @@ e778e78e-7947-4d10-99bf-6fcda09041b6,59413893,TD Bank Group,Senior Analytics Imp

                                                    Inclusiveness

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12332276/senior-analytics-implementation-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-04-29T15:36:04.856Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/59413893-senior-analytics-implementation-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12332276/senior-analytics-implementation-specialist-toronto-ca/,expired,2021-04-22T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -567095db-ec28-4f9e-aa98-382b1194f770,59432033,KPMG,"Data Scientist, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-04-22T19:13:22.315Z,"

                                                    Job Description

                                                    -

                                                    Overview

                                                    -

                                                    Why KPMG Digital?

                                                    -

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/12351526/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-03-08T15:59:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/52747261-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12351526/sr-business-insights-analyst-toronto-ca/,expired,2021-03-01T15:30:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +95cfd4bb-c303-4be7-801a-9d58fe594ea9,52747628,Canvass Analytics Inc.,Test Automation Developer,on_site,"Toronto, ON, Canada",2021-03-01T15:34:45.661Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    +

                                                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                                    +

                                                    +

                                                    Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                                    +

                                                    +

                                                    We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                    +

                                                    Things you should know about our product & teams

                                                    -

                                                    KPMG Digital in Toronto has an exciting opportunity for a Data Scientist, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                      -
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • -
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • -
                                                    • Have a permanent “figure it out” mindset
                                                    • +
                                                    • We use a microservices architecture built predominantly with Python
                                                    • +
                                                    • Our single-page web application is built with React
                                                    • +
                                                    • We use Kubernetes to manage our cloud deployments in Azure
                                                    • +
                                                    • We’ve built data pipelines with Kafka and use Kubeflow to orchestrate our machine learning pipeline
                                                    • +
                                                    • We use CircleCI to continuously integrate, test and deploy code changes
                                                    +

                                                    +

                                                    What we’re looking for:

                                                    -

                                                    Video: Digital Opportunities

                                                    -


                                                    What you will do

                                                    +

                                                    We’re looking for candidates with:

                                                      -
                                                    • Work closely with clients in understanding key business issues.
                                                    • -
                                                    • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                    • -
                                                    • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                    • -
                                                    • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                                    • -
                                                    • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                    • -
                                                    • Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
                                                    • -
                                                    • Work with large volumes of data (structured and unstructured).
                                                    • -
                                                    • Architect the data platform models for scalability, repeatability and performance to build data solutions
                                                    • -
                                                    • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                                    • -
                                                    • Perform quantitative analysis of data issues.
                                                    • -
                                                    • Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
                                                    • -
                                                    • Education and professional working experience in math, statistics, operations research, engineering, computer science or econometrics.
                                                    • +
                                                    • Passionate about creating automated tests to ensure that an application works both before, during and post-deployment
                                                    • +
                                                    • Interested in applying their test automation knowledge to a platform offering multiple test challenges: IoT data ingestion, data pipelines, machine learning pipelines and of course an SPA front end
                                                    • +
                                                    • Familiar with the testing tools we already use (pytest, jest, cypress) and ready to add new ones into the mix
                                                    • +
                                                    • Solid Python and Javascript programming skills
                                                    • +
                                                    • An understanding of RESTful APIs and microservice architecture
                                                    -


                                                    What you bring to the role

                                                    -
                                                      -
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • -
                                                    • Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                                    • -
                                                    • Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs, and development of recommendations.
                                                    • -
                                                    • Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling.
                                                    • -
                                                    • Experience in mainstream cloud services: AWS, MS Azure, GCP and IBM Cloud Pak

                                                      -
                                                    • -
                                                    -

                                                    Keys to your success:

                                                    +

                                                    ​Who you are:

                                                    +

                                                    +

                                                    In general, we’re looking for developers that exemplify these qualities:

                                                      -
                                                    • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                                    • -
                                                    • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectation
                                                    • +
                                                    • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                                    • +
                                                    • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                                    • +
                                                    • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                                    • +
                                                    • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                                                    -

                                                    All applications are due Tuesday, January 19th, 2021 at 11:59 pm

                                                    -

                                                    -


                                                    Our Values, The KPMG Way

                                                    -

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    -

                                                    -

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    -

                                                    -

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    -

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6874?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-05-19T21:13:00.000Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/59432033-data-scientist-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-04-22T19:13:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, -5ae056c1-0dc3-4190-9203-a525781e22e4,59432270,BMO Financial Group,"Associate, Business & Client Analytics",on_site,"Toronto, ON, Canada",2021-04-22T19:16:24.084Z,"

                                                    Address:

                                                    -

                                                    100 King Street West

                                                    -

                                                    -

                                                    -

                                                    Job Family Group:

                                                    -

                                                    Data Analytics & Reporting

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Deliver Capital Markets (CM) client-level reporting/analytics and business insights to senior executives, front-line professionals to support their business development, performance management, and strategic objectives.

                                                    -

                                                    -

                                                    KNOWLEDGE AND SKILLS

                                                    -

                                                    -

                                                    Knowledge:

                                                    +

                                                    Your Benefits

                                                    Some of the benefits you can expect as part of our team include:

                                                      -
                                                    • Possesses a university degree/college diploma in Computer Science and/or Business Administration
                                                    • -
                                                    • Possesses 3 - 5 years systems analysis, programming, and database experience with business knowledge
                                                    • -
                                                    • Understanding of Capital Markets products
                                                    • -
                                                    • Knowledge of BMO’s financial systems an asset
                                                    • -
                                                    • Understanding of financial accounting concepts
                                                    • -
                                                    • Demonstrates advanced knowledge of T-SQL for writing queries and procedures
                                                    • -
                                                    • Possesses advanced knowledge of Microsoft Excel: required for business analysis and presentation of findings
                                                    • -
                                                    • Possesses advanced knowledge of Microsoft SQL Server 2012: required for writing queries and procedures as well as for views for reporting purposes
                                                    • -
                                                    • Possesses advanced knowledge of report/analytic publishing and distribution
                                                    • -
                                                    • Possesses solid understanding of database design and development methodology
                                                    • -
                                                    • Demonstrates understanding of relevant and emerging database technologies and tools
                                                    • -
                                                    • Possesses general knowledge of information security
                                                    • -
                                                    • Possesses knowledge of Microsoft Business Intelligence best practices
                                                    • -
                                                    • Possesses some understanding of business requirements and the Software Development Life Cycle (SDLC)
                                                    • -
                                                    • Working knowledge of reporting visualization tools SpotFire or Power BI considered an asset
                                                    • +
                                                    • Awesome team and culture (every day)
                                                    • +
                                                    • Generous time off, including vacation and personal days to help rejuvenate
                                                    • +
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • +
                                                    • Flexible office policy, with options to work remotely
                                                    • +
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • +
                                                    • Company-provided MacBooks and standing desks
                                                    • +
                                                    • Top technology and tools to excel at your role
                                                    • +
                                                    • Free team lunches
                                                    +

                                                    +

                                                    Why Join Canvass?

                                                    +

                                                    +

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    +

                                                    +

                                                    What's it like working at Canvass?

                                                    +

                                                    +

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    +

                                                    +

                                                    Apply Now

                                                    +

                                                    +

                                                    Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                                    +

                                                    You can also follow us on Twitter or LinkedIn to learn more about us.

                                                    -

                                                    Skills:

                                                    -
                                                      -
                                                    • Possesses excellent analytical skills for complex problem solving
                                                    • -
                                                    • Exhibits good communication skills, both written and verbal
                                                    • -
                                                    • Advanced skills in MS Office applications such as Excel, Access, and PowerPoint
                                                    • -
                                                    • Detail oriented with good organizational skills
                                                    • -
                                                    +

                                                    Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    +

                                                    Apply for this position

                                                    +

                                                    Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                                    ",,https://www.canvass.io/test-automation-dev-job,aimasters@vectorinstitute.ai,,,,2021-03-31T15:34:46.988Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/52747628-test-automation-developer-at-canvass-analytics-inc,,expired,2021-03-01T15:34:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, +a78f9268-aa4b-4863-93a9-39b6f37bafed,52747759,RBC,"Data Scientist, Summer 2021 Student Opportunities (8 Months Only)",on_site,"Toronto, ON, Canada",2021-03-01T15:36:24.167Z,"

                                                    What is the opportunity?
                                                    Who wouldn't want to be a part of a fantastic team of Data Scientists? At RBC, our Data Science teams offer the opportunity to leverage RBC’s data assets to develop innovative solutions in support of RBCs big data strategy. This position is an essential part to the bank as you develop next-generation applications to meet our customers’ needs. By joining the RBC team as a Data Scientist, you will have the opportunity to analyze, design and implement data solutions to assist all business customers.

                                                    -

                                                    Key Accountabilities

                                                    -

                                                    Business Delivery:

                                                    +

                                                    Please only apply if you are available for 8 months.

                                                    +


                                                    What will you do?

                                                      -
                                                    • Assists in the execution and delivery of CM reporting/analytics to all Business & Client Analytics stakeholders
                                                    • -
                                                    • Assists in the design, development, testing and implementation of business logic
                                                    • -
                                                    • Assists in the design, development, testing, and implementation of enhancements to existing databases and/or creation of new databases
                                                    • -
                                                    • Performs database and report tuning
                                                    • -
                                                    • Design, develop and implement analytical solutions to help resolve priority business problems.
                                                    • -
                                                    • Help maintain existing automated solutions supporting LOB and team functions
                                                    • +
                                                    • Utilize the latest technologies available, designing and building data solutions to meet business needs
                                                    • +
                                                    • Be an active contributor to not only your individual team, but to the RBC development community
                                                    • +
                                                    • Constantly seek out better ways to do things, new tools, new technologies, new processes
                                                    • +
                                                    • Work on transformational projects delivering new value
                                                    • +
                                                    • Work as part of an agile team responsible for end-to-end delivery of business needs
                                                    • +
                                                    • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
                                                    • +
                                                    • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
                                                    • +
                                                    • Promote analytics across the enterprise to enable RBC to become a data-driven organization

                                                    -

                                                    Operational Effectiveness:

                                                    +

                                                    What do you need to succeed?

                                                    Must-have:

                                                      -
                                                    • Creates/maintains database and operational documentation
                                                    • -
                                                    • Improves database standards to provide optimum maintenance and consistency across applications
                                                    • -
                                                    • Tests ongoing improvements to database business logic and process improvement initiatives
                                                    • +
                                                    • Programming skills in one or more of the following languages: Python or R
                                                    • +
                                                    • Experience utilizing SQL scripts/querying
                                                    • +
                                                    • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
                                                    • +
                                                    • Ability to data extract, transform, and load processes with a variety of data types
                                                    • +
                                                    • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                      +
                                                    -

                                                    -

                                                    Client Analytic Support:

                                                    +

                                                    Nice to have:

                                                    +
                                                    • Experience with big data technologies, primarily in machine learning and statistics function
                                                      -
                                                    • Provides analytical support and business analysis to internal clients and Client Analytics team
                                                    • -
                                                    • Participates in and contributes to project and team meetings, interacting and collaborating with team members and other departments, as appropriate, to understand project requirement
                                                    • +
                                                    • Exposure to Apache Spark, Hadoop and Public Cloud technologies, data serialization (JSON, Avro, Parquet, ORC)
                                                    • +
                                                    • Experience with big data processing tools like Spark and Hive, GitHub functionality and workflow experience/exposure
                                                    • +
                                                    • Experience with messaging (Kafka, Solace, RabbitMQ) & working on Agile projects

                                                    -

                                                    Cross Functional Relationships

                                                    +

                                                    What’s in it for you?
                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. Visit people.rbc.com

                                                      -
                                                    • Front Office (Line of Business)
                                                    • -
                                                    • Business & Strategy Management
                                                    • -
                                                    • Client Services
                                                    • -
                                                    • BMO CM Finance
                                                    • -
                                                    • Technology Development (TD)
                                                    • -
                                                    • BMO CM Risk Management (BMO CM RM)
                                                    • -
                                                    • Global Financing Services
                                                    • +
                                                    • Continued career advancement opportunities
                                                    • +
                                                    • Exposure to strong mentorship and leadership examples
                                                    • +
                                                    • A world-class training program in financial services
                                                    • +
                                                    • Opportunities to be a valuable member of a close-knit, collaborative team that encourages networking
                                                    • +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • +
                                                    • Competitive compensation

                                                    -

                                                    Working Conditions

                                                    -

                                                    The working environment provides minimal exposure to discomfort or risk to safety. When reviewing related documentation, designs or code, this job requires focused visual concentration. Some requirement for travel and pressure in meeting project deliverables and in participating in crisis recovery situations poses some mental stress. Limited off hours support required.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    +

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    +

                                                    +

                                                    While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                    -

                                                    We’re here to help

                                                    +

                                                    TAD2021

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Virtual
                                                    Address: Virtual
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: [[filter7]]
                                                    Career Level: Student Job
                                                    Application Deadline: 03/14/2021
                                                    Platform: Technology and Operations

                                                    Req ID: 295741
                                                    Ad Code(s):

                                                    ",,https://jobs.rbc.com/ca/en/job/295741/Data-Scientist-Summer-2021-Student-Opportunities-8-Months-Only,aimasters@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:36:00.000Z,False,0,24,102,https://talenthub.vectorinstitute.ai/jobs/52747759-data-scientist-summer-2021-student-opportunities-8-months-only-at-rbc,,expired,2021-03-01T15:36:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +74cbc5c5-8825-47a5-8304-c2c7da2d6032,52748344,Thomson Reuters,Senior Full Stack Engineer,on_site,"Toronto, ON, Canada",2021-03-01T15:39:39.181Z,"

                                                    Job Description

                                                    -

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    +

                                                    Thomson Reuters Tax & Accounting Technology Team is seeking a Senior Full Stack Engineer to join our Confirmation Product Development team. You will have the opportunity to help enhance, redesign and maintain our wildly successful software solutions! The Confirmation digital product platform is a global network trusted by audit firms, banks, law firms, and credit managers to quickly and securely verify financial data. Confirmation was invented nearly 20 years ago, reshaping the audit confirmation process. Today, our Confirmation solutions help 1.5 million users across 170 countries confirm more than $1 trillion in financial data every year.

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Associate--Business---Client-Analytics_R210003238-1,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-05-19T21:10:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/59432270-associate-business-client-analytics-at-bmo-financial-group,,expired,2021-04-22T19:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, -1843c890-319a-4004-9026-f5497fb16dab,62901444,Borealis AI,Machine Learning Software Engineer,on_site,"Toronto, - Montreal, - Vancouver",2021-05-14T19:50:32.176Z,"

                                                    What’s the opportunity?

                                                    We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                    -

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    Your responsibilities include:

                                                    • Building machine learning-based software solutions for solving important problems;
                                                    • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                    • Collaborating with research and business teams to converge on the best solutions;
                                                    • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                    • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                    • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                    • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                    • -

                                                    You’re our ideal candidate if you:

                                                    • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                    • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                    • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                    • Familiarity with the Unix command line and bash scripting;
                                                    • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                    • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                    • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                    • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                    • -

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • -

                                                    How to apply:

                                                    Please email your CV, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-06-13T20:01:02.924Z,False,1,0,55,https://talenthub.vectorinstitute.ai/jobs/62901444-machine-learning-software-engineer-at-borealis-ai,,expired,2021-05-14T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c23e5042-9430-4032-8030-7d38d210d546,62902718,EY,CT Senior Data Architect (Global Tax Platform),on_site,"Toronto, ON, Canada",2021-05-14T20:58:11.208Z,"

                                                    EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
                                                    Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
                                                    The selected candidate
                                                    • Develops large and complex data architecture, composed of models, policies, rules or standards that govern which data is collected and how it is stored, arranged, integrated and put to use in data systems, including the design, build and management of data infrastructure to address business requirements
                                                    • Creates sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk
                                                    • Develops relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions/ways of working/technologies and proactively articulating these to the business
                                                    Your key responsibilities include
                                                    • Create and maintain conceptual, logical and physical database models
                                                    • Document functional requirements and system specifications into the data architecture and detailed design specifications for current and proposed designs
                                                    • Document and adhere to development standards and best practices in database designs
                                                    • Maintain highly effective and consistent communication within the team, peers, and the leadership team
                                                    • Reverse engineer SQL code and modify it to solve problems/issues
                                                    • Contribute to the definition and implementation of data governance practices
                                                    • Design both data structures and data integration practices
                                                    • Work closely with the infrastructure teams to create a physical environment to support data services
                                                    • Evaluate new and existing (internal and external) technologies and services in support of data services and data analytics objectivesSkills and attributes for success • Understanding of business process reengineering and business modeling concepts, business systems development and analysis
                                                    • Hands-on experience in designing and implementing hybrid cloud solutions on Azure
                                                    • Experience working with newer versions of SQL Server (2014 and newer)
                                                    • Experience applying SAFe/Scrum/Kanban methodologies
                                                    • Ability to exercise judgment in solving technical, operational, and organizational challenges
                                                    • Expert programming, performance tuning and troubleshooting skills
                                                    • Demonstrate proactive approach to identifying issues and presenting solutions and options, and where appropriate, leading to resolution
                                                    • Ability to mentor and lead more junior team members Minimum Qualifications • 10+ years demonstratable work experience as a Data Architect
                                                    • 8+ years T-SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer)
                                                    • Must possess expert T-SQL programming, performance tuning and troubleshooting skills
                                                    • Create database objects and T-SQL scripts
                                                    • Experience designing data warehousing solutions
                                                    • In-depth understanding of database structure principles
                                                    • Seamlessly able to translate business requirements to technology requirements Preferred Qualifications • Erwin Data Modeling experience
                                                    • Accounting and/or Tax knowledge
                                                    • Familiarity with Microsoft Azure, Azure SQL DB, Azure Data Studio, Azure Data Factory & Azure Databricks
                                                    • Expertise with No-SQL databases such as Azure Cosmos Db and Mongo Db Education • B.S. or M.S. in Computer Engineering, Computer Science, Data Analytics, Data Science, or related field preferred What we look for • Strong analytical skills and problem-solving ability
                                                    • A self-starter & independent thinker who is curious, creative and has ambition to learn
                                                    • Excellent inter-personal, communication, collaboration, and presentation skills
                                                    • Customer focused
                                                    • Excellent time management skills
                                                    • Positive and constructive minded
                                                    • Takes responsibility for continuous self-learning
                                                    • Takes the lead and makes decisions in critical times and tough circumstances
                                                    • Attention to detail
                                                    • High levels of integrity and honesty What working at EY offers

                                                    We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

                                                    • Support, coaching and feedback from some of the most engaging colleagues around
                                                    • Opportunities to develop new skills and progress your career
                                                    • The freedom and flexibility to handle your role in a way that’s right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Apply now.

                                                    ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/ct-senior-data-architect-global-tax-platform-200285,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-06-13T20:58:13.175Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/62902718-ct-senior-data-architect-global-tax-platform-at-ey,,expired,2021-05-14T20:58:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bb24fb34-e1a9-4b7b-8a7b-b8a526aabeb9,62902956,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2021-05-14T21:16:36.542Z,"

                                                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                    -

                                                    We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                    -

                                                    The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                    -

                                                    What are your main responsibilities?

                                                    +

                                                    About the role

                                                    +

                                                    As a Senior Full Stack Engineer, you will:

                                                      -
                                                    • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                    • -
                                                    • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                    • -
                                                    • Go-to person for data and model delivery within Layer 6
                                                    • -
                                                    • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                                                    • +
                                                    • Designing, coding and debugging software applications in C#, Angular, JavaScript, JQuery, Typescript, CSS, HTML, SQL and PostgreSQL
                                                    • +
                                                    • Being able to develop code using Test Driven Development process
                                                    • +
                                                    • Developing new features and maintaining the existing application
                                                    • +
                                                    • Testing, quality assurance and maintaining standards compliance
                                                    • +
                                                    • Support, maintain and document software functionality
                                                    • +
                                                    • Provide technical support to the management as well the clients
                                                    • +
                                                    • Work closely with other teams and developers

                                                    -

                                                    Required Technical Skills

                                                    -
                                                      -
                                                    • BSc+ in Computer Science, Math, Physics, or similar
                                                    • -
                                                    • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                    • -
                                                    • 3+ years experience of building machine learning production system
                                                    • -
                                                    • Expert level skills in system design
                                                    • -
                                                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                    • -
                                                    • Strong knowledge of Machine Learning and Deep Learning
                                                    • -
                                                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                    • -
                                                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                    • -
                                                    • Strong experience with Scala and Java 8
                                                    • +

                                                      About you

                                                      +

                                                      You’re are fit for the role of a Senior Full Stack Engineer, if you have:

                                                      +
                                                        +
                                                      • 5+ years of working knowledge in software development life cycle environment
                                                      • +
                                                      • Experience in a Scrum development environment
                                                      • +
                                                      • Bachelor’s degree in computer science or other technical degree
                                                      • +
                                                      • Deep understanding of modern software development such as micro services, domain-driven design patterns, SOLID patterns, C# patterns, database patterns such repository and unit of work
                                                      • +
                                                      • Proficiency building Web User Interface (UI) using one of the following web technologies: HTML/HTML5, DHTML, XHTML, CSS, Bootstrap, JavaScrpt, Typescript, jQuery, Angular JS and experience with ReactJS
                                                      • +
                                                      • Expertise in developing professional web applications, windows services, and web services in MS Visual Studio using C#.Net, ASP.Net and SQL Server
                                                      • +
                                                      • Knowledge of three tier applications and object-oriented design
                                                      • +
                                                      • Experience working with software, hardware, data and testing standards
                                                      • +
                                                      • Experience writing web applications using the .Net Framework

                                                      -

                                                      Nice to have Skills

                                                      -
                                                      • C++, Python experience
                                                      -

                                                      -

                                                      Benefits

                                                      +

                                                      What’s in it For You ​

                                                      +

                                                      At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth: ​

                                                      +

                                                      ​Learning & Development:

                                                        -
                                                      • Entrepreneurial and inclusive culture
                                                      • -
                                                      • Excellent health coverage and pension plan
                                                      • -
                                                      • Four weeks paid vacation
                                                      • -
                                                      • Catered lunches twice a week over machine learning talks
                                                      • -
                                                      ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-06-13T21:16:38.113Z,False,2,0,24,https://talenthub.vectorinstitute.ai/jobs/62902956-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2021-05-14T21:16:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -d9d01261-2fc6-4fc8-a5c5-7509b1b8c97e,62903530,Scotiabank,Data Engineer - Data Office,on_site,"Toronto, ON, Canada",2021-05-14T21:21:35.684Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      -

                                                      Purpose:

                                                      -


                                                      Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Data Engineer role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

                                                      +
                                                    • Exposure to a wide breadth of leading-edge technology  ​
                                                    • +
                                                    • Career growth: ability to work on multiple projects and/or with various teams  ​
                                                    • +
                                                    • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.  ​
                                                    • +
                                                    • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone  ​
                                                    • +
                                                    +

                                                    Benefits/Perks:    ​

                                                    +
                                                      +
                                                    • Health benefits  ​
                                                    • +
                                                    • Savings/investment plans  ​
                                                    • +
                                                    • Paid time off   ​
                                                    • +
                                                    +

                                                    Flexibility:  We've been named as one of Forbes, Best Companies for Work/Life Balance  ​

                                                    +

                                                    Global Opportunities:  We have employees in over 90 countries, working across 3 different industries  ​

                                                    +

                                                    Your well-being:   We offer programs that focus on making our lives healthier 

                                                    +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +



                                                    Locations
                                                    Toronto-Ontario-Canada

                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/492728/Senior-Full-Stack-Engineer/?SourceID-APPLICANT_SOURCE-3-713,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-03-31T15:39:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/52748344-senior-full-stack-engineer-at-thomson-reuters,,expired,2021-03-01T15:39:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +f6269ed6-1442-4b5d-82d5-c5f4a81479c0,52772464,integrate.ai,Platform Engineering Intern,on_site,"Toronto, ON, Canada",2021-03-01T18:51:19.132Z,"

                                                    This is an entry-level, internship position. It is only available to current students of a high school or undergrad program. It does not have to be an engineering program. For full time positions, visit https://integrate.ai/jobs

                                                    +

                                                    At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics; and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                                                    +

                                                    Job Responsibilities:

                                                    +
                                                      +
                                                    • Build highly scalable web services and machine learning tooling
                                                    • +
                                                    • Audit data holdings for Personally Identifiable Information and automate data pipelines
                                                    • +
                                                    • Work with the Product department to generate ideas, gather requirements and follow through with implementation
                                                    • +

                                                    -

                                                    Accountabilities:

                                                    -


                                                    • Gathers information across various sources / platforms and manages queries and programming of the structured data / large databases to address complex business issues as part of one or more workstreams within a larger project
                                                    • Exercises judgment while employing various data techniques and procedures to perform the continuous iteration and analysis of past and current data, to obtain insights about a business challenge / issue that can lead to improved decision-making
                                                    • Manages enhancement of existing programming tools and systems to support business ad-hoc queries
                                                    • Manages end to end design, development, maintenance and management of databases / data marts
                                                    • Profiles and analyzes source data to determine the best reporting structures to build
                                                    • Conducts metadata management, data cleaning and data lineage documentation
                                                    • Provides day-to-day support and technical expertise to both technical and non-technical teams
                                                    • Works with other project team members to brainstorm solutions to problems and support others in their goals.
                                                    • Exhibits sound judgement, keen eye for details and tenacity for solving difficult problems.
                                                    • Uses strong analytical skills and support use of data for sound decision making.

                                                    +

                                                    Required Skills:

                                                    +

                                                    You are a problem solver with a ""get the job done"" attitude. You are able to work fast without losing sight of the impact you are having building a generational organization.

                                                    +
                                                      +
                                                    • Fluency with Python or another current programming language
                                                    • +
                                                    • Experience with relational databases (we use Postgres)
                                                    • +
                                                    • Knowledge of data structures and algorithms
                                                    • +

                                                    +

                                                    Integrate.ai is committed to the safety of our employees and remote work may be required, depending on the situation with COVID-19. A company laptop will be provided.

                                                    +

                                                    At Integrate, we work hard to live our company values every day. These values are also the foundation of our culture. You will get a chance to meet people from across the organization during the hiring process which includes technical and values based interviews.

                                                    ",,https://boards.greenhouse.io/integrateai/jobs/4546597002,aimasters@vectorinstitute.ai,https://integrate.ai/careers,,,2021-03-31T18:51:20.655Z,False,0,20,101,https://talenthub.vectorinstitute.ai/jobs/52772464-platform-engineering-intern-at-integrate-ai,,expired,2021-03-01T18:51:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Internship/Co-op,No Degree,New Posting, +2d05e549-3bfe-47fa-a496-5a32500dae5f,52774339,CIBC,"Consultant, Big Data Development",on_site,"Toronto, ON, Canada",2021-03-01T19:19:09.290Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    Experience:

                                                    -


                                                    • Understanding of how to leverage data analysis tools, data platforms and analytical methods to provide solutions to business problems and able to work with a lot of ambiguity
                                                    • Proficiency with data visualization tools (e.g., Tableau, Power BI) and data programming and scripting languages such as SQL, Python, Spark, SAS, R and Unix/Linux
                                                    • Previous use of multiple project management practices (Agile and Waterfall) to develop and deliver data products
                                                    • Demonstrated experience translating business needs into technical requirements

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    Qualifications:

                                                    -


                                                    • Degree in Engineering, Computer Science, Mathematics, Statistics or quantitative field
                                                    • 3+ years industry experience with big data technology (Hadoop, Hive, HDFS)
                                                    • Proficiency with relational databases (Oracle, DB2, MS SQL Server)
                                                    • Industry experience as a Data Engineer or Data Analyst
                                                    • Data modelling and warehousing experience
                                                    • Strong proficiency in SQL

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Data-Office-ON-M5C2V9/547258017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-13T21:21:37.503Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/62903530-data-engineer-data-office-at-scotiabank,,expired,2021-05-14T21:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -af6b7b96-f937-4bfb-99f3-de73f11a81b2,62906631,Vector Institute,Senior AI Software Developer,temporary,"Toronto, ON, Canada",2021-05-14T21:36:39.266Z,"

                                                    POSITION SUMMARY

                                                    +

                                                    Job Description

                                                    -

                                                    As a Vector Senior AI Software Developer, you will provide technical leadership and contribute to developing and integrating reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest machine learning and AI researchers and provide guidance to AI Software Developers and data scientists and researchers at industry sponsors and healthcare institutions to apply AI.

                                                    +

                                                    What You’ll Be Doing

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    +

                                                    In this role, you will join the CIBC’s Enterprise Data Hub team and you’ll design, build, implement and maintain solutions that support and enhance of the enterprise Data Lake capabilities. You will support data initiatives both on Hadoop Cloudera Distribution as well as Microsoft Azure. As Consultant/ Application Developer, you will support the design and development of various initiatives across the Big Data Portfolio.

                                                    -
                                                    • Provide technical leadership for applied research projects and AI/ML software development and integration projects following an agile methodology with teams that can include Vector AI developers, professional staff, researchers, industry sponsors and healthcare partners;
                                                    +

                                                    How You’ll Succeed

                                                      -
                                                    • Design and lead development of reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • -
                                                    • Design and lead development of open source software for applying AI research techniques to common problems;
                                                    • -
                                                    • Mentor industry sponsors and healthcare partners on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                    • -
                                                    • Mentor researchers and AI software developers on software engineering and data science best practices;
                                                    • -
                                                    • Lead the development of prototypes and proofs of concept;
                                                    • -
                                                    • Report and present on software development including status and results; and,
                                                    • +
                                                    • +Develop & Design - Lead the design and development of specifications, develop and build code, perform code reviews. Test, debug, document, and manage changes to ensure the successful implementation and maintenance of programs.
                                                    • +
                                                    • +Analyzing Business Requirements - Research and analyze business requests and recommend solutions.
                                                    • +
                                                    • +Coordination - Participate in production and user acceptance testing support to troubleshoot complex problems on applications and technologies. Effectively interact with stakeholders, end users, business analysts, and technical resources to gather requirements and prepare design specifications as instructed by senior team members. Coordinate change ticket implementations.
                                                    -
                                                    • Other related duties as assigned.

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    -
                                                      -
                                                    • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred.
                                                    • -
                                                    • Minimum of four years of experience in industry applying machine learning for data science or technology product development or equivalent; experience across industries considered an asset.
                                                    • -
                                                    • Demonstrated experience as a technical lead for teams applying machine learning.
                                                    • -
                                                    • Demonstrated experience in applying machine learning to problems deployed in production.
                                                    • -
                                                    • Demonstrated experience in working closely with software engineers, data scientists and operations staff.
                                                    • -
                                                    -
                                                    • Demonstrated experience developing software that is deployed in production.
                                                    +

                                                    Who You Are

                                                    +
                                                    • +You can demonstrate experience :

                                                        -
                                                      • Demonstrated experience in data engineering working with messy real-world data.
                                                      • -
                                                      • Demonstrated experience in operational considerations for deployment of deep learning.
                                                      • -
                                                      • Demonstrated analytical skills to identify signal in data and feasibility of prediction.
                                                      • -
                                                      • Strong knowledge and experience with Python.
                                                      • -
                                                      • Experience in popular open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                      • -
                                                      • Experience with parameter and architecture tuning of deep learning algorithms.
                                                      • -
                                                      • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.
                                                      • +
                                                      • At least 4-6 years of hands-on development expertise with Core Java or Scala as well as Python and SQL.
                                                      • +
                                                      • You also have technical experience with Maven, Jenkins, Github, JFrog and Bash.
                                                      • +
                                                      • You have at least 2 years working experience with Big Data technologies such as Hadoop, Hive, HBase, Oozie, HiveQL, Hive UDFs, Sqoop, Spark, Impala.
                                                      -

                                                      -

                                                      Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                      -

                                                      -

                                                      Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                      -

                                                      -

                                                      The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                      -

                                                      -

                                                      Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                      ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=115&source=google&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-06-13T21:36:41.596Z,False,0,1,43,https://talenthub.vectorinstitute.ai/jobs/62906631-senior-ai-software-developer-at-vector-institute,,expired,2021-05-14T21:36:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -39a083f2-604d-4566-8841-f71a32d6551c,62987801,Intact Financial Corporation,"Python Tech Lead (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-05-15T19:50:08.441Z,"
                                                      -

                                                      How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you visit our team, you'll be in for quite the surprise!

                                                      Our team merges the speed and culture of a start-up with the resources and means of a large corporation. Located in downtown Montreal, we are a growing team, passionate about innovation and advanced technologies.

                                                      You dream of exciting challenges at one of Canada’s top 100 places to work? Join our Artificial Intelligence team and take part in building the next generation of software products.


                                                      -
                                                      Your Job
                                                      -

                                                      Our Innovation Lab is looking for a Technical Lead - Python software development. We are looking for someone who is passionate about the technologies that orbit around AI, ML and Big Data solutions, with a constructive energy and a sense of inclusive leadership.

                                                      Hiring Manager : Van Tram

                                                      Workplace : Toronto (700 University Ave)

                                                      Your mission within our Innovation Lab :

                                                      • Manage as technical leader a team of developers (±5 Devs).
                                                      • Actively collaborates with application architects and systems analysts.
                                                      • Participate in design, application design, setting up foundations for event-oriented components.
                                                      • Participate in the technological watch and the definition of coding standards. to ensure system efficiency, resilience and sustainability.
                                                      • Optimize the platform for maximum velocity and scalability.
                                                      • Optimize and prioritize development tasks in collaboration with the team.
                                                      • Ensure the high level of quality of the work delivered.
                                                      • Boost the productivity of the development team.
                                                      • Oversee the development of appropriate tactics to achieve objectives.
                                                      • Provide support and be proactively involved in problem situations or issues.
                                                      • Be the technical ‘GO TO Person’ for members of your team.
                                                      • Act as an ambassador to the team and to other departments of the company.

                                                      -
                                                      Your Skills
                                                      -

                                                      • With an education level equivalent to a bachelor’s degree or more, you have significant experience of at least 8 to 10 years in backend development, and at least 2 years in a Technical Lead role.
                                                      • Leadership and ability to convey ideas in a positive manner with different teams.
                                                      • Resourcefulness, team player, curiosity, communication, teacher, attention to detail and thoroughness.
                                                      • Analytical and problem-solving skills.
                                                      • Ability to adapt in a fast-paced, agile development environment.
                                                      • Proficient in python language and a good understanding of programming languages such as Java, C# or C++.
                                                      • A very good understanding of machine learning and artificial intelligence.
                                                      • Proficient in machine learning libraries and scientific calculation such as Scikit-learn, NumPy, SciPy, etc.
                                                      • Good knowledge of software engineering practices such as Agile, DevOps, CI/CD and others.
                                                      • Proficient with modern DevOps tools, such as Docker, OpenShift, Kubernetes, ELK, Jenkins.
                                                      • Good knowledge of Kafka.
                                                      • Knowledge of a deep learning framework such as Kubelfow, Tensorflow, PyTorch or other.

                                                      Here are a few reasons why others have joined our team :

                                                      • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                      • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                      • A comprehensive financial rewards program that recognizes your success
                                                      • An extensive, flexible benefits package
                                                      • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                      • A $350 annual wellness account that promotes an active lifestyle

                                                      -
                                                      Closing Statement
                                                      -

                                                      We are an Equal Opportunity Employer

                                                      At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                      If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                      Background Checks

                                                      As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                      Internal Candidates

                                                      For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                      Eligibility to Work in Canada

                                                      It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                      #li-qc


                                                      -
                                                      Referral Bonus
                                                      -

                                                      This role is eligible for employee referral bonus. #myReferrals3000


                                                      -
                                                      ",,https://careers.intact.ca/ca/en/job/IFCOUS14867/Python-Tech-Lead-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-06-08T21:56:43.041Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/62987801-python-tech-lead-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14867/Python-Tech-Lead-Toronto-Intact-Lab,expired,2021-05-15T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -95c26b03-c64b-4a18-b9f2-3d9240527b32,62988153,RBC,"Analytics Lead, RBC Ventures",on_site,"Toronto, Ontario, Canada",2021-05-15T21:50:17.402Z,"
                                                      -

                                                      RBC Ventures is new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

                                                      -

                                                      -

                                                      What you will do?

                                                      +
                                                    +

                                                    It’s an asset if you have previous experience building scalable Data frameworks in Azure Cloud technologies as Azure Data Factory, DataBricks, Nifi, Azure Data Lake Storage, Azure Blob, Azure Devops, Azure Monitor, Azure Synapse, Azure Data Catalogue/Purview, CosmosDB.

                                                      -
                                                    • Design and implement rigorous analytics frameworks across Ventures
                                                    • -
                                                    • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights to support the growth of Ventures
                                                    • -
                                                    • Regularly present recommendations & opportunities to Venture leadership and senior executives.
                                                    • -
                                                    • External relationships include Data Technology vendors
                                                    • -
                                                    • Internal relationships include colleagues and senior management in RBC Ventures, AI Labs, Card & Payment Solutions, Financing Products, Technology & Operations and Client & Marketing Strategy.
                                                    • -Provide analytical subject matter expertise to define data driven strategies including:
                                                        -
                                                      • Providing recommendations on new/re-design Venture development strategies, supported by analytics
                                                      • -
                                                      • Developing product & customer analytics such as funnel optimization, customer segmentation, cohort & retention analysis
                                                      • -
                                                      • Performing fulsome data deep dives to identify and propose Venture optimization opportunities
                                                      • -
                                                      • Building data pipelines and performing feature engineering to measure conversion performance across platforms
                                                      • -
                                                      • Dashboard and KPI development and automation
                                                      • -
                                                      • Iterate and measure success of initiatives and engagements.
                                                      • -
                                                      -
                                                    • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. +
                                                    • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
                                                    • +
                                                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • +
                                                    • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision. You are passionate about client service - You want the work you do each day to result in a positive client experience.
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must Have:

                                                      -
                                                    • Typically 5+ years of relevant experience (e.g. Business Analytics, Consulting, etc.)
                                                    • -
                                                    • Exceptional problem solving skills with ability to deliver innovative solutions
                                                    • -
                                                    • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions
                                                    • -
                                                    • Demonstrate a strong aptitude for managing multiple priorities and deadlines in a fast-paced environment
                                                    • -
                                                    • Strong team player, able to manage and build relationships with multiple stakeholders
                                                    • -
                                                    • Excellent communication and presentation skills with the integrity and confidence to liaise with executives and senior management.
                                                    • -
                                                    • Self-starter with a passion for using data to influence business decisions and strategic investments.
                                                    • -
                                                    • Proven leadership track record with experience developing talent
                                                    • -
                                                    • Solid technical skills in data analytics methodologies / tools - extensive experience with statistical analysis and SQL
                                                    • -
                                                    • Experience with variety of query authoring tools (Metabase, Teradata, etc.)
                                                    • -
                                                    • Experience in / an interest in learning advanced analytics methodologies and tools (Python, R, machine learning, data visualization tools, etc.).
                                                    • -
                                                    • University degree in a quantitative field of study (e.g., statistics, economics, business) to demonstrate ability for critical thinking & numerical analytics.
                                                    • +
                                                    • +You have a degree/diploma in Computer Science.
                                                    • +
                                                    • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability
                                                    -

                                                    -

                                                    What’s in it for you?
                                                    We are building something completely new in a dynamically changing industry. It’s never been done before. You have the opportunity to leverage the significant resources of our business and brand to make that change happen in the real world.

                                                    -

                                                    +

                                                    +

                                                    What CIBC Offers

                                                    +

                                                    +

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in an agile, collaborative, progressive, and high-performing team
                                                    • -
                                                    • The opportunity to interface with senior level executives from many different parts of the organization
                                                    • +
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +
                                                    • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning.
                                                    • +
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    -

                                                    -

                                                    RBCVentures

                                                    -

                                                    -

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    -

                                                    -

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    -

                                                    -

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 20 Bay street
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Position Level: PL07

                                                    Required Travel(%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 05/08/2021
                                                    Req ID: 344996

                                                    -

                                                    Ad Code(s): RBC Ventures

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/344996/Analytics-Lead-RBC-Ventures,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-05-19T20:50:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/62988153-analytics-lead-rbc-ventures-at-rbc,https://jobs.rbc.com/ca/en/job/344996/Analytics-Lead-RBC-Ventures,expired,2021-05-15T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -5abd7748-f7b7-468d-bcfc-f2f725b9d12f,63260998,Thales,TECHNICAL SPECIALIST - SYSTEM,on_site,"Toronto, ON, Canada",2021-05-18T15:12:32.422Z,"

                                                    Location: Toronto, Ontario, Canada
                                                    Regular Employment, Full time Location: Toronto, Canada

                                                    -

                                                    Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.

                                                    -

                                                    Thales provides world-leading Communications-Based Train Control (CBTC) and interlocking for mass rail transit applications globally. The Centre of Competence for Urban Rail Signalling is located right before you at mid-town Toronto. As the largest office in Canada, we house a department for every step of the Software Development Lifecycle (SDLC)! This includes Software, Hardware, Systems Design, Verification & Validation, Operations, etc. The supporting corporate shared services teams in Finance, Human Resources and IT is also located at the office. Our office space was designed to provide a sustainable, healthy workplace that expresses TRSS’s brand while increasing collaboration. Features include Greenguard furniture, EnergyStar appliances, low-emitting adhesives, sealants, and sliding glass doors on internal offices provide daylight and views to the outside. Come join the big Transport family, here in Toronto!

                                                    -

                                                    We are looking for a Technical Specialist to join our research and technology (R&T) team.

                                                    -

                                                    As a System Specialist you will bring your expertise in robotics, computer vision, fusion algorithms, point cloud processing and machine learning to develop, build, test and evaluate next generation solutions for the transit market.

                                                    -

                                                    You will be involved in research and development to create “proof-of-concept” products for the urban rail signaling domain.

                                                    +

                                                    What You Need to Know

                                                      -
                                                    • To participate in the analysis of very complex, real-time, autonomous system use cases
                                                    • -
                                                    • To understand the goal of a research project and support its execution
                                                    • -
                                                    • To perform analysis of lab and field test results
                                                    • -
                                                    • To document and defend results, designs and tradeoffs
                                                    • -
                                                    • To work with multiple sensors and the latest software algorithms to control complex, safety critical systems
                                                    • -
                                                    • To develop expertise in railway signaling and learn the product offering of Thales
                                                    • -
                                                    • To become a highly productive team member and team player
                                                    • -
                                                    -

                                                    Key Responsibilities:

                                                    +
                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                  • +
                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                  • +",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Big-Data-Development_2100507-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-05T19:19:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/52774339-consultant-big-data-development-at-cibc,,expired,2021-03-01T19:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +89a1c593-c17e-4dbb-ae8b-5c7ba172d887,53246140,RBC,"Manager, CRM Analytics",on_site,"Toronto, Ontario, Canada",2021-03-04T21:43:14.756Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    RBC is hiring an exciting Manager, CRM Analytics role. In this role, you will work closely with members of the CRM Analytics team and collaborate with partners including teams from Leads Management, Lines of Business and Marketing to focus on Client Strategy analytics developing solutions that deliver value-added and insightful information to assist in driving profitability and providing value to our clients.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • Support inputs for overall design solution to product definition including system architecture, failure mode analysis and system redundancy for R&T projects
                                                    • -
                                                    • Contribute to the overall architecture design of the next generation automated train solution
                                                    • -
                                                    • Develop, analyze, implement algorithms for train applications
                                                    • -
                                                    • Use state-of-the-art algorithms for object detection, fusion, machine vision, deep learning and adaptive control systems, and filters
                                                    • -
                                                    • Perform prototyping in simulation environments and with “proof of concept” platforms
                                                    • -
                                                    • Perform modelling for simulating representative scenarios
                                                    • -
                                                    • Perform hands-on experimentation to gain new knowledge
                                                    • -
                                                    • Perform all phases as related to algorithm development: model, compile, build, debug, simulation, testing, validation and documentation
                                                    • -
                                                    • Design, code, integrate and test software applications required to support various R&T projects
                                                    • -
                                                    • Design and build prototype hardware
                                                    • -
                                                    • Use and setup tools and systems for data collection and evaluation of large datasets
                                                    • -
                                                    • Experience with ‘big data’ algorithms is an asset
                                                    • -
                                                    • Analyze control system dynamics, parameters and models to generate reports
                                                    • -
                                                    • Prepares reports, giving findings on problems
                                                    • -
                                                    • Provides support to product team and other departments as required to help with productization of new solutions
                                                    • -
                                                    • Analyzes and write requirements using Company standard methodology
                                                    • -
                                                    • Works with system modelling tools and methodologies such as Arcadia
                                                    • -
                                                    • Keeps abreast of relevant technology developments as related to the R&T project
                                                    • -
                                                    • Comfortable in an Agile work methodology
                                                    • -
                                                    • Perform design reviews per R&T lifecycle
                                                    • -
                                                    • Assists in providing leadership and motivation to staff
                                                    • +
                                                    • Conduct insightful and actionable analytics enabling success of Client Treatment Plans, Triggers and Renewal programs across all lines of business to strengthen client relationship and improve on current client-centric strategies
                                                    • +
                                                    • Collaborate with Leads Management and Product teams to augment existing and develop new, effective client engagement strategies optimizing spends
                                                    • +
                                                    • Monitor performance of client strategies to ensure the tactics perform as expected identifying opportunities and potential issues and recommending solutions to enhance the strategies
                                                    • +
                                                    • Provide analytical support to Client Interaction Strategy and Client Voice initiatives
                                                    • +
                                                    • Explore and identify various data sources to ascertain value and suitability of new data sources
                                                    -

                                                    Required Skills and Experience:

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have:

                                                      -
                                                    • PhD or Masters in Electrical & Computer Engineering, Computer Science, Robotics or a related field
                                                    • -
                                                    • Over 4 years of relevant work experience or equivalent
                                                    • +
                                                    • Proficient technical knowledge with very large relational databases and with tools such as SQL and SAS
                                                    • +
                                                    • Sound business acumen and strong analytical, communication and presentation skills
                                                    • +
                                                    • Strong problem solving skill and ability to conceptualize strategy
                                                    • +
                                                    • Demonstrated ability to work well collaboratively in a cross function environment as well as independently with initiative taking ownership
                                                    -

                                                    Preferred Skills and Experience:

                                                    +

                                                    +

                                                    Nice-to-have:

                                                      -
                                                    • Expertise in one or more of the following: Deep Learning, Computer Vision and Machine Learning
                                                    • -
                                                    • Experience with algorithms for object detection and classification, fusion, control systems
                                                    • -
                                                    • Strong knowledge in Kalman Filters, Extended Kalman Filters, and Particle Filters
                                                    • -
                                                    • Knowledge in control theories including predictive, optimal and robust controls
                                                    • -
                                                    • Working knowledge of modern software engineering practices, methods & tools
                                                    • -
                                                    • Knowledgeable of object oriented techniques, design patterns, multithreading, socket programming
                                                    • -
                                                    • Experience in C++, Python, ROS, Linux also necessary
                                                    • -
                                                    • Knowledge of JavaScript, TypeScript, SQL an asset
                                                    • -
                                                    • Experience with GPU acceleration using OpenCL or CUDA an asset
                                                    • -
                                                    • Experience with a least one scripting/productivity language, and experience with file formats such as .json, messagepack, and pickle.
                                                    • -
                                                    • Familiar with software building tools like Cmake, MSBuilds
                                                    • -
                                                    • Familiar with source control tools (Git, Clearcase, etc.)
                                                    • -
                                                    • Cloud Computing experience: ElasticSearch, Kibana, Zeppelin, Docker, and Jenkins are all assets
                                                    • -
                                                    • Strong communication, organizational and problem-solving skills
                                                    • -
                                                    • Experience with safety critical systems an asset
                                                    • -
                                                    • Knowledge of railway signaling techniques would be an asset
                                                    • +
                                                    • Master’s degree in quantitative discipline
                                                    • +
                                                    • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management
                                                    • +
                                                    • Experience with Hadoop and Google Analytics
                                                    -

                                                    Thales is committed to a diverse and inclusive workplace for all. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                    ",,https://jobs.thalesgroup.com/job/toronto/technical-specialist-system/1766/19372648,aimasters@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-06-17T15:12:34.232Z,False,0,0,27,https://talenthub.vectorinstitute.ai/jobs/63260998-technical-specialist-system-at-thales,,expired,2021-05-18T15:12:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -354de596-d893-4f51-99da-0a1283d0b67a,63472202,RBC,"Associate Director, Data Architecture and Engineering",on_site,"Toronto, Ontario, Canada",2021-05-19T21:50:43.159Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    As Associate Director, Data architecture and Engineering in Investor & Treasury Services Data Engineering team within Data Management office, you will design, implement and support Data architecture best practices and processes within Investor and Treasury Services across global organization in line with Corporate vision. We are looking for strategic thinker, and passionate data management enthusiast to drive and support leadership team on executing data strategy.

                                                    -

                                                    -

                                                    As a member of a dynamic, fast paced team, you will bring strong data architecture and data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. You will have a strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times. This is complemented by a positive attitude and a willingness to take accountability for results achieved.

                                                    -

                                                    -

                                                    In this role, you will encompass an end to end system view from data sourcing, lineage, transformation and storage standpoint to support complex advanced analytics and data governance needs and require extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards.

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Design structures and plans to meet the current and long-term data requirements of I&TS enterprise
                                                    • -
                                                    • Evaluate current state business processes and system architecture specification, and develop target state data architecture and key system consolidation opportunities
                                                    • -
                                                    • Define the current state of data within I&TS organization through Enterprise data model discovery for data entities and components
                                                    • -
                                                    • Assess data curation requirements and propose remediation approach
                                                    • -
                                                    • Design and implement target state system consolidation opportunities in line with I&TS Data Engineering strategy
                                                    • -
                                                    • Evaluate current state of data access control in regards to authentication, authorization and encryption practices across I&TS systems. Develop and support remediation strategy
                                                    • -
                                                    • Work in an agile team of Data Engineers, Developers and RBC business stakeholders.
                                                    • -
                                                    • Build real-time data pipelines (inbound, outbound) through container-based solutions, APIs/microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms
                                                    • -
                                                    • -Collaborate with data scientists, process engineers and business stakeholders on requirement gathering and assist with prescriptive and predictive analytics through consolidated data pipelines
                                                    • -
                                                    -

                                                    What do you need to succeed?
                                                    Must Have:

                                                    -
                                                    • 7+ years of experience in data architecture and data engineering with at least 3 years of hands on experience in technologies listed in the following section:
                                                    -
                                                      -
                                                    • Data architecture: working knowledge of DAMA best practices and DMBOK
                                                    • -
                                                    • Data Modeling technologies and tools such as ERWIN
                                                    • -
                                                    • Data Engineering: Python, Kafka, MS SQL Server
                                                    • -
                                                    • API: Node.JS, Django and microservices technologies
                                                    • -
                                                    • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
                                                    • -
                                                    • Portal/analytics solutions: Angular, Kibana
                                                    • -
                                                    • Strong knowledge of algorithms and data structures.
                                                    • -
                                                    -

                                                    Nice to have:

                                                    -
                                                      -
                                                    • Master’s degree in Computer science or equivalent experience
                                                    • -
                                                    • Certified Data Management Professional (CDMP) certification
                                                    • -
                                                    • Automation/DevOps: Jenkins, Selenium and similar technologies
                                                    • -
                                                    • Cloud technologies: Openshift, PCF, AWS, Azure
                                                    • -
                                                    • Database technologies: MongoDB, Elasticsearch, Logstash
                                                    • -
                                                    • Source code control: GIT
                                                    • -
                                                    • Experience working in agile/SaFe environment
                                                    • -
                                                    • -
                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • Interaction with a wide variety of departments within Investor & Treasury Services
                                                    • -
                                                    • The opportunity to work on projects relating to bank wide data initiatives
                                                    • -
                                                    • Work collaboratively with business partners, IT and Data Management in order to deliver new capabilities effectively
                                                    • -
                                                    • Stay close to industry best practices in account, client data and KYC management
                                                    • -
                                                    • Apply interpersonal and influencing skills to develop strong relationships with the Data Management team, Data Management IT, stakeholders across RBC I&TS, and individuals participating in the various data project streams
                                                    • -
                                                    • Communicate effectively with RBC I&TS professionals at varying levels of seniority, including applying insight to determine the business impact of data issues that may arise in the availability, integrity or completeness of data which can be supported through better governance
                                                    • +
                                                    • An opportunity to influence the strategic direction of the enterprise
                                                    • +
                                                    • An opportunity to work closely with RBC’s senior leaders
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive and high performing culture
                                                    • +
                                                    • Excellent career development and progression opportunities
                                                    • +
                                                    • A comprehensive Total Rewards Program including bonuses, eligibility for stock and flexible benefits

                                                    -

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front St. West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Senior Manager/Director
                                                    Pay Type: Salaried
                                                    Position Level: PL07
                                                    Required Travel(%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 05/05/2021
                                                    Req ID: 322980

                                                    -

                                                    -

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 88 Queens Quay West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 03/12/2021
                                                    Platform: Personal & Commercial Banking
                                                    Req ID: 328576
                                                    Ad Code(s):

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/322980/Associate-Director-Data-Architecture-and-Engineering,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-08T21:58:21.535Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/63472202-associate-director-data-architecture-and-engineering-at-rbc,https://jobs.rbc.com/ca/en/job/322980/Associate-Director-Data-Architecture-and-Engineering,expired,2021-05-19T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -d619bea2-0c23-4549-82a9-94df9326dfc0,63588755,TD Bank Group,"Fraud Strategist, Insights and Analytics",on_site,"Markham, ON",2021-05-20T15:41:16.006Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway. #LI-POST

                                                    -

                                                    -

                                                    The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                    -

                                                    The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.

                                                    -

                                                    The Strategist

                                                    -
                                                      -
                                                    • Must balance loss decisions with the impact to operational teams and the customer experience.
                                                    • -
                                                    • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                                    • -
                                                    -

                                                    -

                                                    The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                    -

                                                    Accountabilities:

                                                    -

                                                    Fraud Loss Management

                                                    -
                                                      -
                                                    • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                    • -
                                                    • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                                    • -
                                                    • Executes strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                    • -
                                                    • Supports case valuation and prioritization to optimize fraud management
                                                    • -
                                                    • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                    • -
                                                    -

                                                    Process Support

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/328576/Manager-CRM-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:11:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/53246140-manager-crm-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/328576/Manager-CRM-Analytics,expired,2021-03-04T21:43:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f27cedda-6dce-49f4-bbd1-740b32e2af15,53595533,BMO Financial Group,"Manager, Data Analytics Developer",on_site,"Toronto, ON, Canada",2021-03-08T15:01:27.967Z,"

                                                    As a Developer, you would be supporting the Audit function with analytics and automation of recurring analytics. Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                      -
                                                    • Produce timely diagnostics to identify system, strategy and operational issues
                                                    • -
                                                    • Participates in defect analysis to identify and remediate fraud coverage gaps
                                                    • -
                                                    • Identify and assess new developing fraud trends as they evolve
                                                    • -
                                                    • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                                    • +
                                                    • Acts as a trusted advisor to assigned business/group (Audit).
                                                    • +
                                                    • Leads the design, development, and implementation of analytic solutions.
                                                    • +
                                                    • Identifies emerging issues and trends to inform decision-making.
                                                    • +
                                                    • Recommends and implements solutions based on analysis of issues and implications for the business
                                                    • +
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • +
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • +
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • +
                                                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                                                    • +
                                                    • Automates validation tests to improve quality and efficiency of the validation process.
                                                    • +
                                                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                                                    • +
                                                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                    • +
                                                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                                                    • +
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • +
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • +
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • +
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • +
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • +
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • +
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • +
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Provides specialized consulting, analytical and technical support.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently and regularly handles non-routine situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      +
                                                    -

                                                    Partner Support

                                                    +

                                                    Qualifications:

                                                      -
                                                    • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                                    • -
                                                    • Support the continuous improvement agenda for our operational partners
                                                    • +
                                                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science / Engineering or related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Knowledge and experience in writing code, data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
                                                    • +
                                                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -
                                                      -
                                                    • SQL and technical skills are definite must haves. Payment processing is highly desirable

                                                    • -
                                                    • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program

                                                    • -
                                                    • Proficiency in a data extraction/analysis/visualization tool. Examples include: SAS, SQL, Python, Knowledge Seeker, Excel, Tableau

                                                    • -
                                                    • Demonstrated analytical, modeling and problem solving skills

                                                    • -
                                                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions

                                                    • -
                                                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation

                                                    • -
                                                    • Ability to take initiative and work independently under tight timelines

                                                    • -
                                                    • Ability to work collaboratively and build relationships

                                                    • -
                                                    • Motivated to constantly strive to find innovative ways to enhance capabilities

                                                    • -

                                                    -

                                                    Preferable

                                                    -
                                                      -
                                                    • Experience in fraud management is an asset

                                                    • -
                                                    • Knowledge of machine learning and data modeling is an asset

                                                    • -
                                                    • Agile experience is an asset

                                                    • -
                                                    -
                                                    +

                                                    We’re here to help

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/12635321/fraud-strategist-insights-and-analytics-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-05-21T18:13:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/63588755-fraud-strategist-insights-and-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12635321/fraud-strategist-insights-and-analytics-markham-ca/,expired,2021-05-20T15:41:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -334e05e6-dc3b-4b27-9b70-dbad65632ed1,63876658,Borealis AI,Research Engineer Data Systems,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-05-22T19:50:05.142Z,"

                                                    What’s the opportunity?

                                                    Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                    -

                                                    We’re looking for an enthusiastic research engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                                    -

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    -

                                                    Your responsibilities include:

                                                    • Building data systems to support machine learning-based software solutions;
                                                    • Conducting comparisons to existing data algorithms and baselines;
                                                    • Reviewing, extending, and optimizing prototype data solutions;
                                                    • Supporting projects with thorough documentation, design decisions, and capabilities.
                                                    • Collaborating with research and business teams to model and deliver on their data needs;
                                                    • -
                                                    -

                                                    You’re our ideal candidate if you have:

                                                    • A master’s or PhD degree in computer science, software engineering, or equivalent, with research experience in data systems;
                                                    • 2+ years of software engineering experience in a high-responsibility, minimal-supervision environment;
                                                    • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Java;
                                                    • Solid understanding of distributed computing using CPUs and GPUs;
                                                    • Familiarity to Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                    • Strong communication skills and a collaborative attitude
                                                    • -
                                                    -

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale
                                                    • -
                                                    -

                                                    How to apply:

                                                    Please email your resume, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    -

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    -

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-06-24T20:58:40.351Z,False,1,0,15,https://talenthub.vectorinstitute.ai/jobs/63876658-research-engineer-data-systems-at-borealis-ai,,expired,2021-05-22T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -909fd7a8-f5fa-41fb-b447-b7350ac406f2,64157693,Scotiabank,"Manager, AML/ATF Models and Analytics",on_site,"Toronto, ON, Canada",2021-05-25T21:40:44.232Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    -

                                                    The role Manager, AML/ATF Models and Analytics is responsible for applying sophisticated predictive/analytical modelling techniques and latest AML/ATF rules and scenarios to new models AND for enhancing the performance of existing Payment and Name Scanning models. This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Also ensures all activities conducted follow governing regulations and internal policies and procedures.

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Data-Analytics-Developer_R210001233,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-07T15:01:29.428Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/53595533-manager-data-analytics-developer-at-bmo-financial-group,,expired,2021-03-08T15:01:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,Re-Posting an Expired Job, +283ebdd7-e084-4941-866f-ecf293156399,53611651,CIBC,Sr. Data Modeler,on_site,"Toronto, ON, Canada",2021-03-08T18:47:01.997Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    -

                                                    Key Accountabilities:

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -
                                                      -
                                                    • Conducts testing, tuning, development and implementation of AML/ATF name/payment scanning rules and models.
                                                    • -
                                                    • Vets the effectiveness of scanning systems and provide recommendations for improvement based on identified risks/gaps.
                                                    • -
                                                    • Identifies and demonstrate value in opportunities to improve the efficiency of the models
                                                    • -
                                                    • Prepare model documentation to support the model development and validation process.
                                                    • -
                                                    • Properly identifies, reports and escalates issues which may impact the AML/ATF program resulting from performance, functionality or changes within name/payment scanning applications.
                                                    • -
                                                    +

                                                    Job Description

                                                    -

                                                    Experience / Education:

                                                    +

                                                    What You’ll Be Doing

                                                    +

                                                    Remote Banking & Shared Services provides modern software driven banking experiences for CIBC's personal and small business banking clients by putting our clients at the center of all that we do .You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale projects.

                                                    +

                                                    As a Sr. Data Modeler you will translate business needs into Logical data models supporting long-term solutions and work with the Application Development team to implement data strategies, build data flows and develop conceptual data models. You will create logical data model using best practices to ensure high data quality and reduced redundancy and optimize and update logical data models to support new and existing projects as well as maintain conceptual, logical and physical data models along with corresponding metadata.

                                                    +

                                                    +

                                                    How You’ll Succeed

                                                      -
                                                    • Expertise in modelling methods and statistical analysis
                                                    • -
                                                    • Prior experience in data extraction, manipulation and reporting, with advanced Python, SAS, R, SQL programming skills
                                                    • -
                                                    • Tech savvy with knowledge of systems architecture and interaction of multiple server environments.
                                                    • -
                                                    • Creative, able to see the big picture and draw recommendations based on detailed knowledge of the systems/data
                                                    • -
                                                    • Sound knowledge of banking and payment operations
                                                    • -
                                                    • Nice to have AML/ATF Name Scanning (FircoSoft) or Payment Scanning (HotScan) knowledge/experience
                                                    • -
                                                    • Bachelor’s degree or higher in Data science, Statistics, Mathematics, Engineering or another quantitative field preferred.
                                                    • +
                                                    • +Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
                                                    • +
                                                    • +Recommend opportunities for reuse of data models in new environment and perform reverse engineering of physical data models from databases and SQL scripts.
                                                    • +
                                                    • +Analyze data-related system integration challenges and propose appropriate solutions and develop data models according to company standards.
                                                    • +
                                                    • +Relationship Building- Strong relationship with all technology partners required with professional high quality team building for the assigned portfolio. You will liase and interact with Architects, Solution design, Development and QA as part of the daily management of the portfolio.

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/547354917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-24T21:40:46.036Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/64157693-manager-aml-atf-models-and-analytics-at-scotiabank,,expired,2021-05-25T21:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -70df7936-f0bf-4919-adb9-439a0762ea92,64157695,Scotiabank,Data Analytics Investigator,on_site,"Toronto, ON, Canada",2021-05-25T21:41:25.218Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    Who You Are

                                                    +
                                                      +
                                                    • +You can demonstrate 5+ years of experience as a Data Modeler who is proficient in LDM, PM, SQL, Oracle. You have a solid experience in evaluating data models and physical databases for variances and discrepancies and validate business data objects for accuracy and completeness.
                                                    • +
                                                    • +You give meaning to data. You enjoy investigating complex problems, and making sense of information.
                                                    • +
                                                    • +You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                    • +
                                                    • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
                                                    • +
                                                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                    • +

                                                    +

                                                    What CIBC Offers

                                                    +

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    +
                                                      +
                                                    • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +
                                                    • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +
                                                    • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                    • +
                                                    • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +

                                                    +

                                                    What You Need to Know

                                                    +
                                                      +
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                    • +
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    +

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Data-Modeler_2105225,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-15T18:47:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/53611651-sr-data-modeler-at-cibc,,expired,2021-03-08T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +5a4f8bcb-659a-4772-b1e3-65c23b3e5a5a,54603818,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, ON, Canada",2021-03-15T14:01:37.537Z,"

                                                    About us

                                                    Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.

                                                    Job Description

                                                    We are seeking exceptional graduate students for an 8 to 12-month internship in 2020. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
                                                    Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:- Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions- Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility- Organize internal hackathons to quickly prototype solutions to problems

                                                    -

                                                    Purpose

                                                    +

                                                    Requirements

                                                    +
                                                        +
                                                      • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                      • +
                                                      • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                      • +
                                                      • Excellent scientific writing and presentation skills.
                                                      • +
                                                      • Programming experience in at least one of Python, C or C++
                                                      • +
                                                      • Strong organizational, interpersonal, and communication skills.
                                                      • +
                                                    +

                                                    What we offer

                                                    +
                                                        +
                                                      • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                      • +
                                                      • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                      • +
                                                      • Competitive compensation package
                                                      • +
                                                    +

                                                    Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                    Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-04-14T14:01:40.929Z,False,0,20,89,https://talenthub.vectorinstitute.ai/jobs/54603818-graduate-research-intern-machine-learning-at-deep-genomics,,expired,2021-03-15T14:01:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, +39dec61b-6a59-4e0c-a0cf-601af0f9a94f,54619721,Vector Institute,Human Resources Business Partner,on_site,"Toronto, ON, Canada",2021-03-15T18:43:53.343Z,"

                                                    POSITION OVERVIEW

                                                    +

                                                    As the Human Resources Business Partner for the Research Operations, Academic Partnerships, Office Services, and Finance workstreams, you will provide operational and strategic support in the areas of talent management, employee relations, performance management, benefits, employee engagement, and learning and development to meet team needs. You will proactively partner with all levels of management to enhance employee experience and drive organizational health by fostering a culture of inclusion, collaboration, transparency, integrity, and respect.

                                                    -

                                                    Contributes to the overall success of the Corporate Security global mandate by ensuring that specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    +
                                                      +
                                                    • Serve as a primary point of contact for all inquiries regarding HR matters within assigned internal client workstreams;
                                                    • +
                                                    • Provide strategic and tactical advice, coaching, and counseling support on employment-related issues across all HR disciplines including the interpretation and application of legislation, corporate policies, and Vector-specific programs and processes, ensuring both consistent application and operational compliance;
                                                    • +
                                                    • Manage all aspects of talent acquisition needs within assigned work streams including supporting business case development and managing associated approval process, job description development and posting, recruitment processes including drafting of offer letters, reference and education checks, and facilitating immigration and relocation requirements (if applicable);
                                                    • +
                                                    • Provide consultation and coaching to all levels of management to build and serve high performing, diverse and inclusive teams;
                                                    • +
                                                    • Support all employees and associated processes within assigned client groups including but not limited to approved leaves, employment contracts, vacation compliance, employee relations, performance management, and corporate tracking and reporting;
                                                    • +
                                                    +
                                                      +
                                                    • Champion and/or participate in key HR projects and initiatives in support of Vector’s vision, mission, strategy and culture;
                                                    • +
                                                    • Design, develop and implement a robust, year-round professional development program for all employees inclusive of workshops, seminars, on a variety of talent development initiatives (e.g., EDI, Mentoring, Emerging Leaders);
                                                    • +
                                                    • Lead all compliance-based HR Training initiatives including Code of Conduct, Accessibility for Ontarians with Disabilities Act (AODA), and Health and Safety training sessions;
                                                    • +
                                                    +
                                                      +
                                                    • In partnership with managers, provide a compelling and welcoming onboarding experience for all new hires within Vector;
                                                    • +
                                                    • Sit as a member of the Vector Institute Joint Health and Safety Committee, taking a leadership role in ensuring the execution of committee initiatives;
                                                    • +
                                                    • Act as the primary manager of the Vector Careers Inbox, responding to all incoming inquires within an appropriate period of time as well as tracking incoming researcher (i.e., Research Scientist, Faculty Member, and Vector Postdoctoral Fellow) applications;
                                                    • +
                                                    • Benefits Administration:
                                                        +
                                                      • Respond to, and resolve benefits related inquiries from Vector employees;
                                                      • +
                                                      • Monitor all vacation balances in BambooHR to ensure employees are taking the appropriate time-off in alignment with Vectors vacation policy and legislative requirements;
                                                      • +
                                                      +
                                                    • +
                                                    • Maintain Vector’s HRIS (BambooHR), HR’s VPortal page, as well as employee paper files and associated trackers, ensuring all accounts and details are up to date and accurate, and act as the primary manager of the Vector Careers Inbox; and,
                                                    • +
                                                    • Other related duties as assigned.
                                                    • +

                                                    +

                                                    KEY SUCCESS MEASURES

                                                    -

                                                    Core Accountabilities:

                                                    +
                                                      +
                                                    • Assigned internal client work streams have a trusted partner for all talent and HR matters.
                                                    • +
                                                    • Vector maintains compliance with all legislatively required training.
                                                    • +
                                                    • Vector has a calendar of professional development offerings.
                                                    • +
                                                    • New employees of Vector Hire receive a welcoming and comprehensive onboarding experience.
                                                    • +
                                                    • Data integrity is maintained for all HRIS and paper employee files.
                                                    • +
                                                    • Employee relations matters are resolved in an ethical fair manner in alignment with Vector’s policies and culture that mitigates risk for the Vector Institute.
                                                    • +
                                                    • Talent acquisition and recruitment metrics and targets are achieved.
                                                    • +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -
                                                    • Assist with the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.
                                                    +
                                                      +
                                                    • Individual is a graduate from an HR post-grad diploma programme or holds an undergraduate degree in a related field;
                                                    • +
                                                    • Individual has 3+ years of relevant HR generalist experience in complex, intellectually challenging, and fast-paced, high-growth organizations; CHRP designation or in progress;
                                                    • +
                                                    • Individual has a demonstrated ability to manage a broad portfolio of HR responsibilities spanning a variety of HR functional areas, including Talent Acquisition, Employee Relations, Training, Compensation and Benefits Administration, HRIS & website administration in an organized manner, while maintaining a calm, professional demeanour;
                                                    • +
                                                    • Demonstrated commitment to diversity, human rights, accessibility, and equity;
                                                    • +
                                                    • Experience with managing international immigration preferred;
                                                    • +
                                                    • Individual has highly effective client and candidate relationship management skills, working with stakeholders ranging from Executives to employees and world-class faculty and students;
                                                    • +
                                                    • Individual is accurate and has highly developed and effective written and verbal communication skills; and,
                                                    • +
                                                    • Individual is passionate about finding and successfully attracting great talent to Vector and in contributing to Vector’s success in achieving its mission and strategic objectives.
                                                    • +

                                                    -
                                                    • Contributes to the design of complex predictive models and pattern detection algorithms in Splunk to detect suspicious digital fraud alerts and user behavioral activities. Decode and debug complex Search queries, build Splunk Use Cases for financial crime, employee monitoring, threat intelligence, Online banking, PCI & PII use cases.
                                                    +

                                                    Please address applications (cover letter and resume) to Julie Semak, Manager, Human Resources, using the link provided. Review of applications will begin March 25, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -
                                                    • Contributes to the support and maintenance of the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new Splunk data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.
                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -
                                                    • Analyze, review, and provide insight into the Bank’s enterprise insider threat program, major digital fraud and financial crimes investigations, other intelligence big data analytics industry initiatives to proactively support business decisions and processes.
                                                    +

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    -
                                                    • Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
                                                    +

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=129&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-04-14T18:43:54.953Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/54619721-human-resources-business-partner-at-vector-institute,,expired,2021-03-15T18:43:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +ab3995e1-ba3b-4883-a1c2-57047fdf5a0d,54619906,Vector Institute,Data Analyst & Visualization Intern,on_site,"Toronto, ON, Canada",2021-03-15T18:44:45.557Z,"

                                                    POSITION OVERVIEW

                                                    -
                                                    • Establish and maintain effective dialogue with internal technology and business partners to identify opportunities for new initiatives, development, and risk mitigation.
                                                    +

                                                    The Data Analyst/Visualization Intern will have the opportunity to gain real-world experience in data analysis and visualization at a leading research institute. The objectives of this role are to analyze large amounts of data and assist with identifying and visualizing key metrics within the data to support our objectives around workforce development and research excellence. Reporting to the Program Manager, Student Engagement, you will play a key role in ensuring the goals of the Academic Partnership team around data analysis and benchmarking are met.

                                                    +

                                                    Start date: Summer 2021 (part-time)

                                                    +

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    +

                                                    As a part-time Vector intern, you will work up to 20 hours per week over the Summer (May to August) academic term with an opportunity to continue over the Fall 2021 academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your paid internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                    +

                                                    Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                    -

                                                    Education & Designations:

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    -
                                                    • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on work experience preferred.
                                                    +
                                                      +
                                                    • Identify and develop data structures and tools for data collection and analysis relating to mapping the end-to-end AI talent pipeline in Ontario;
                                                    • +
                                                    • Using AI-employment related data, analyze key trends relating to the supply and demand for AI-talent and desired skill sets in Ontario;
                                                    • +
                                                    • Aggregate and analyze existing data to benchmark and produce trends and insights on AI talent in Ontario, such as curriculum competencies and graduate outcomes
                                                    • +
                                                    • Mine data from internal sources and organize this data for trends analysis;
                                                    • +
                                                    • Generate concise reports on high-level insights;
                                                    • +
                                                    • Generate meaningful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights;
                                                    • +
                                                    • Other duties as assigned
                                                    • +

                                                    +

                                                    SUCCESS MEASURES

                                                    -

                                                    Work Experience/Technical Skills Required:

                                                    +
                                                      +
                                                    • Data trends identified and mapped to help assess and benchmark AI talent in Ontario.
                                                    • +
                                                    • Reports generated on high-level insights.
                                                    • +
                                                    • Data visualizations/interactive dashboards created are accessible, highlight key outcomes, and integrate well with data inputs.
                                                    • +
                                                    +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                      -
                                                    • Solid working experience in an analytical role, using expert Splunk SPL query language to create dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and digital fraud analysis.
                                                    • -
                                                    • Demonstrated ability working with analytical and computing tools, such as like Splunk, Microsoft Power BI, SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
                                                    • -
                                                    • Training and/or certifications in Splunk Enterprise Version 7.x and 8.x and Data Analytics would be an asset.
                                                    • -
                                                    • Strong verbal, written, presentation & communication skills
                                                    • -
                                                    • Creative, out-of-the-box thinker with strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate data with attention to detail and accuracy.
                                                    • -
                                                    • Must be self-motivated, self-starter, energetic and results-oriented and be committed to adding value to the organization.
                                                    • -
                                                    • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset.
                                                    • +
                                                    • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of Vector Faculty Affiliates or an AI master’s student in one of Vector Recognized Programs
                                                    • +
                                                    • You have experience using Python, R, Excel, SQL and data visualization tools such as Google Data Studio or Tableau
                                                    • +
                                                    • You are comfortable comparing, compiling, organizing and analyzing statistical information to identify patterns, relationships and problems
                                                    • +
                                                    • You have a keen interest in the field of artificial intelligence
                                                    • +
                                                    • You have experience with designing, building, or maintaining data systems and pipelines
                                                    • +
                                                    • You understand the limits and constraints associated with data usage (e.g. privacy concerns, challenges associated with unstructured or unlabelled data)
                                                    • +
                                                    • You are organized and efficient, with strong problem-solving skills
                                                    • +
                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                    • +
                                                    • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture
                                                    • +
                                                    • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem
                                                    • +
                                                    • Your familiarity with GSuite, MS Office 365 applications and BI tools such as SAS, Power BI and Oracle BI would be an asset.

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Analytics-Investigator-ON-M5H1H1/547264117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-18T14:30:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/64157695-data-analytics-investigator-at-scotiabank,,expired,2021-05-25T21:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -76470424-331f-495c-951f-70b83a537efc,64157696,Scotiabank,Business Data Analytics Lead - Global Compliance,on_site,"Toronto, ON, Canada",2021-05-25T21:42:02.735Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                    +

                                                    The deadline for submission is March 22, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    Purpose

                                                    -

                                                    Scotiabank’s Global Compliance is seeking Business Data Analytics Lead to join our Data & Analytics team. We are building a leading, best-in-class Global Compliance function to maintain customer trust and protect the Bank’s reputation.

                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    The incumbent contributes to the overall success of Global Compliance by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    +

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    +

                                                    +

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=127&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-23T21:09:00.000Z,True,0,20,152,https://talenthub.vectorinstitute.ai/jobs/54619906-data-analyst-visualization-intern-at-vector-institute,,expired,2021-03-15T18:44:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +270995a7-3939-4044-91f8-aff5cf97af2a,54620262,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2021-03-15T18:46:20.462Z,"

                                                    POSITION SUMMARY

                                                    +

                                                    +

                                                    As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI. You will report to the Director, AI Engineering and work closely with a technical lead on your software development projects for day- to- day direction.

                                                    +

                                                    +

                                                    Start date: Summer 2021 (part-time)

                                                    +

                                                    +

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    +

                                                    +

                                                    As a part-time Vector intern, you will work up to 20 hours per week over the Summer (May to August) academic term with an opportunity to continue over the Fall 2021 academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your paid internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                    +

                                                    +

                                                    Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                    +

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    Accountabilities

                                                      -
                                                    • Partner with various leaders in compliance to identify areas where advanced analytics can be applied to address internal audit, external regulatory findings and critical gaps identified through 3rd party reviews and to develop solutions required
                                                    • -
                                                    • Raise awareness in Global Compliance on the application of advanced analytics and enhance adoption of insights-driven solutions for planning and issue management
                                                    • -
                                                    • Focused culture throughout the analytics team to deepen insights and leverage broader Bank relationships, systems and knowledge to add value to internal compliance stakeholders, including all 3 lines of defence
                                                    • -
                                                    • Act as a trusted advisor and partner, providing strategic direction and oversight for the development, prioritization, and implementation of advanced analytics models and use cases across each respective business lines
                                                    • -
                                                    • Work with the business to identify new kinds, types and sources of data and applications for analytics to address critical gaps in compliance capabilities and define processes for the effective, integrated introduction of new data.
                                                    • -
                                                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                    • -
                                                    • Plans and facilitate discussions with business clients to gather business, data source requirements and to present findings and results of analytics solutions
                                                    • -
                                                    • Develops and delivers process documentation that reflects current business processes, data sources and future state requirements
                                                    • -
                                                    • Participates in all aspects of an Agile systems development life cycle
                                                    • -
                                                    • Ensures compliance with all applicable data regulations and policies
                                                    • -
                                                    • Applies best practices for effective communication, relationship management and problem-solving with stakeholders/partners
                                                    • -
                                                    • Must be flexible to adapt to a dynamic environment, make quick and sound decisions under pressure
                                                    • -
                                                    • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.


                                                      Education/Experience: -
                                                    • +
                                                    • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                    • +
                                                    • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • +
                                                    • Develop open source software for applying AI research techniques to common problems;
                                                    • +
                                                    • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                    • +
                                                    • Develop prototypes and proofs of concept; and,
                                                    • +
                                                    • Report and present on software development including status and results.
                                                    +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    +

                                                    +
                                                    • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of Vector Faculty Affiliates or an AI master’s student in one of Vector Recognized Programs.
                                                      -
                                                    • Masters / advanced degree in Statistics, Mathematics, Economics, MBA, FSA, or a PhD
                                                    • -
                                                    • Proven expert in analytics, data management and performance measurement
                                                    • -
                                                    • Recognized and resilient team leader who inspires a results-oriented culture
                                                    • -
                                                    • Exceptional business planning, strategy development and execution skills
                                                    • -
                                                    • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
                                                    • -
                                                    • Experience in leading teams and working with multiple stakeholders
                                                    • -
                                                    • Strong collaborative & consultative skills
                                                    • -
                                                    • Strong data set preparation and creation skills
                                                    • -
                                                    • Advanced statistical skills including working knowledge of text analytics (NLP), structural equation modeling, factor analysis, unsupervised / supervised learning, etc.
                                                    • -
                                                    • Advanced skills in analytics execution (e.g., R, Python, Spark)
                                                    • -
                                                    • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
                                                    • -
                                                    • Ability to multitask and manage multiple research projects
                                                    • -
                                                    • Demonstrated strong attention to detail, problem-solving, and critical thinking
                                                    • +
                                                    • Experience in machine learning and/or statistics.
                                                    • +
                                                    • Software engineering background with experience in industry.
                                                    • +
                                                    • Data engineering background working with messy real-world data.
                                                    • +
                                                    • Analytical skills to identify signal in data and feasibility of prediction.
                                                    • +
                                                    • Knowledge and experience of Python.
                                                    • +
                                                    • Experience with parameter and architecture tuning of deep learning algorithms is preferred
                                                    • +
                                                    • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • +
                                                    • Data science experience considered an asset.
                                                    • +
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

                                                    +

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Business-Data-Analytics-Lead-ON-M5H3R3/547264917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-24T21:42:04.717Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/64157696-business-data-analytics-lead-global-compliance-at-scotiabank,,expired,2021-05-25T21:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -0196c10e-438b-402d-a9e5-73fd92548e67,64198087,KPMG,"Data Analyst, Consultant, Fall Intern/Co-op",on_site,"Toronto, ON, Canada",2021-05-26T06:05:19.580Z,"

                                                    Job Description

                                                    -

                                                    Overview

                                                    -

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    +

                                                    The deadline for submission is March 22, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    When you join KPMG you’ll be one of over 207,000 professionals providing audit, tax, advisory and business enablement services across 153 countries.

                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    +

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                    -

                                                    We are seeking co-op students to join our Advisory team starting Fall 2021 working in our Risk Analytics practice within the GRCS (Government Risk Compliance Services) service line in the Toronto Office.

                                                    +

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=124&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-03-23T21:09:00.000Z,True,0,41,241,https://talenthub.vectorinstitute.ai/jobs/54620262-applied-machine-learning-intern-at-vector-institute,,expired,2021-03-15T18:46:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +c80cae74-ffe0-48ad-b5e5-97fd669ff2fa,54717921,KPMG,"Data Scientist, Consultant, Summer Intern/Co-op",on_site,"Toronto, ON, Canada",2021-03-16T20:26:09.805Z,"

                                                    Overview

                                                    -

                                                    * GRCS formally IARCS (Internal Audit Risk Compliance Services)

                                                    -


                                                    What you will do

                                                    -

                                                    You’ll have the opportunity to work across geographies and industries to take on challenging and groundbreaking projects while building strong relationships with our people and developing professional skills that will help set you up for success.

                                                    +

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do. When you join KPMG, you’ll be one of over 200,000 professionals providing audit, tax, advisory and business enablement services across 154 countries. With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make.

                                                    +

                                                    +

                                                    Our clients are typically private equity funds, pension funds, large public companies, as well as private corporations. Our people are motivated self-starters with expertise in finance, valuation, tax, accounting and financial reporting. Our network is global. Let’s do this.

                                                    +

                                                    Why KPMG Deal Advisory?

                                                    +

                                                    Business today is under more pressure than ever to deliver better, lasting results for stakeholders. In Deal Advisory, we think like an investor, looking at how opportunities to buy, sell, partner, fund or fix a company can add and preserve value.

                                                    +

                                                    Today’s deals do not happen in a vacuum. From business strategy to acquisition strategy, plans for divestments or for raising funds, or even the need to restructure, every decision must be made considering the entire business, the sector, and the global economy.

                                                    +

                                                    Our teams of specialists combine a global mindset and local experience with deep sector knowledge and superior analytic tools to help our clients navigate a complex, fragmented process.

                                                    +

                                                    From helping to plan and implement strategic change to measurably increasing portfolio value, we focus on delivering tangible results. The kind of results that let clients clearly see what they gained from the deal at hand, and what they want to bring to the next deal down the road.

                                                    +

                                                    Deal Advisory is growing its practice in Data Analytics and Data Science. We are looking for talent with deep technical skills that have an appetite for Investments, M&A and Deal Advisory.

                                                    +

                                                    KPMG Deal Advisory Toronto has an exciting opportunity for a Data Scientist, Consultant intern to join our team Summer 2021! This role will be a rewarding experience for you if you:

                                                      -
                                                    • Work closely with clients in understanding key business issues.
                                                    • -
                                                    • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                    • -
                                                    • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                    • -
                                                    • Develop strong experiences in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                                    • -
                                                    • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                    • -
                                                    • Work with large volumes of data (structured and unstructured).
                                                    • -
                                                    • Run queries for descriptive analytics and provide formatted result sets.
                                                    • -
                                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                    • -
                                                    • Bridge the gap between technical platform needs and business issues.
                                                    • -
                                                    • Perform quantitative analysis of data issues.
                                                    • -
                                                    • Effectively communicate orally and written with peers within GRCS, KPMG and the client.
                                                    • +
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • +
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • +
                                                    • Have a permanent “figure it out” mindset
                                                    • +
                                                    +

                                                    Video: Digital Opportunities

                                                    +

                                                    Learn more here: Transaction Services, Deal Advisory - KPMG

                                                    +


                                                    What you will do

                                                    +
                                                      +
                                                    • Work closely with public, private and third-party data sets to generate data-driven insights.
                                                    • +
                                                    • Carry out rapid analysis in Python of data sets (structured and/or unstructured).
                                                    • +
                                                    • Using KPMG proprietary and third-party data analytics tools, you will deliver deeper insights to our clients at deal speed
                                                    • +
                                                    • Identify and report key issues, perform relevant financial analysis, and interpret results
                                                    • +
                                                    • Develop analytical procedures and templates that can be deployed to others to increase the capabilities of the wider team
                                                    • +
                                                    • Work with large volumes of data (structured and unstructured) - investigate and perform deeper analysis to produce impactful insights to achieve targeted outcomes.
                                                    • +
                                                    • Work shoulder to shoulder with KPMG’s engagement teams to deliver deep insights at speed to achieve the best client outcomes.
                                                    • +
                                                    • Draft detailed professional reports and other client deliverables e.g. Excel schedules, Tableau dashboards, results of predictive models etc.
                                                    • +
                                                    • Establish credibility and develop relationships with current and prospective clients.
                                                    • +
                                                    • Provide support/assistance for proposals.
                                                    • +
                                                    • Develop and support other business units to identify use cases and increase the use of data & analytics in a cross-functional role (e.g. Valuations, Corporate Finance, Operations M&A / Value Creation, Restructuring & Turnaround, Global Infrastructure Project Group, etc.).
                                                    +

                                                    +

                                                    At times, business needs arise, and employees are required and agree to work beyond their normal workday or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this.


                                                    What you bring to the role

                                                      -
                                                    • You have a strong academic record and excel in an entrepreneurial environment.
                                                    • -
                                                    • You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.
                                                    • -
                                                    • Strong experience working with data from a variety of databases.
                                                    • -
                                                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks.
                                                    • -
                                                    • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI) and Python
                                                    • -
                                                    • Experience working in a multi-disciplinary team to tackle complex data processing problems across a diverse range of industries.
                                                    • +
                                                    • A solid understanding of Python, Pandas, NumPy and essential python libraries.
                                                    • +
                                                    • A solid understanding of advanced statistics to generate quantitative data-driven insights.
                                                    • +
                                                    • An ability to rapidly extract data-driven insights in a Jupyter Notebook environment.
                                                    • +
                                                    • An understanding of how to deal with structured and unstructured data such as text and geospatial data such as maps.
                                                    • +
                                                    • An ability to rapidly extract, transfer and load (ETL) data in Python or Alteryx.
                                                    • +
                                                    • Prior exposure to data visualization tools like PowerBI, Tableau or Qlik.
                                                    • +
                                                    • An ability to script in Python an unsupervised machine learning algorithm such as k-means clustering.
                                                    • +
                                                    • An ability to script in Python a supervised machine learning algorithm such as a decision tree.
                                                    • +
                                                    • An ability to rapidly automate ETL process using Python or other tools such as Alteryx.
                                                    • +
                                                    • Proficiency in Cloud computing with AWS, Azure or GCP is a plus.
                                                    • +
                                                    • An advanced user of Microsoft Tools (Excel, PowerPoint, Word)
                                                    • +
                                                    • Client-facing communication skills such as presenting data-driven results and insights.
                                                    • +
                                                    • An understanding and willingness to learn about investments, finance and M&A.
                                                    • +
                                                    • A background in physics, math, statistics, computer science and/or engineering.

                                                    Keys to your success:

                                                    -

                                                      -
                                                    • Ability to explain data and analytics concepts to non-technical team members.
                                                    • -
                                                    • Ability to apply data and analytics concepts to business problems.
                                                    • -
                                                    • Ability to understand and explain business value of data and analytics concepts
                                                    • -
                                                    • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                    • -
                                                    • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                    • -
                                                    • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                    • +
                                                    • Strong analytical skills and attention to detail
                                                    • +
                                                    • Highly motivated to learn and succeed in a fast-paced environment
                                                    • +
                                                    • Curiosity, healthy skepticism, creativity, and attention to detail.
                                                    • +
                                                    • Committed, able to work independently with minimal supervision and flexible to cope with changing priorities and strict deadlines.
                                                    • +
                                                    • Excellent verbal and written communication skills.
                                                    • +
                                                    • Skilled in building a network and working relationships internally and externally.
                                                    -

                                                    ** Please note that this opportunity is affiliated with our Toronto office and all candidates must be living in Canada to be considered.

                                                    +

                                                    The Deal Advisory practice is hiring for Data Analytics & Data Science. Specifically, KPMG is interested in talented Data Scientists with advanced skills in Python that have an appetite and interest in Mergers & Acquisitions, Private Equity, Transactions and Investing. This unique skill will enable you to provide a new level of data-driven insights.

                                                    +

                                                    +

                                                    The application deadline is Friday, March 26th 2021 at 11:59 pm EST.


                                                    Our Values, The KPMG Way

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    @@ -23312,1053 +22297,617 @@ d619bea2-0c23-4549-82a9-94df9326dfc0,63588755,TD Bank Group,"Fraud Strategist, I

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca

                                                    ",,https://careers.kpmg.ca/students/jobs/8725?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-06-18T14:30:00.000Z,True,0,28,146,https://talenthub.vectorinstitute.ai/jobs/64198087-data-analyst-consultant-fall-intern-co-op-at-kpmg,,expired,2021-05-26T06:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -0985c896-eeda-4e1c-bb86-be2ac32887aa,64198246,Roche,Quality Data Analyst Specialist,on_site,"Toronto, ON, Canada",2021-05-26T06:19:23.060Z,"

                                                    Job Purpose:

                                                    -

                                                    The Quality Data Operations Specialist executes data analytics efforts in collaboration with Quality Data Operations Lead to enable the best use of data and data analytics supporting PDQ Strategy. The role supports Quality Data Operations Lead in management of operational aspects of data analytics, including creation and maintenance of relevant tools, platforms and dashboards. The role drives relevant data collection and generation activities to enable consistent and efficient use of data across PDQ and within relevant functions.

                                                    -

                                                    Primary Responsibilities and Accountabilities:

                                                    -

                                                    Data Analytics execution

                                                    -

                                                    ● Manage implementation plans for data and data analytics efforts:

                                                    -

                                                    o Identify potential data sources for new or existing processes in collaboration with relevant stakeholders.

                                                    -

                                                    o Drive assigned activities leading to design, development and implementation of analytics associated with quality generation activities and operational metrics.

                                                    -

                                                    o Identify gaps within data generation lifecycle activities and drive solutions to address those.

                                                    -

                                                    Data operations oversight

                                                    -

                                                    ● Support TL, Quality Data Operations in ensuring oversight of GCP and Quality analytics (such as quality evidence generation activities and operational metrics) and collaborate with Quality Data Operations Lead to develop associated processes and tools, including relevant platforms and/or dashboards.

                                                    -

                                                    ● Continuously review data and associated analytics methods to ensure consistency and efficiency of data use. Identify opportunities to improve and simplify data management processes including data collection, analytical solutions design and implementation.

                                                    -

                                                    ● Lead operational data maintenance efforts.

                                                    +

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/students/jobs/7814,aitalent@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-03-29T17:30:00.000Z,False,0,65,164,https://talenthub.vectorinstitute.ai/jobs/54717921-data-scientist-consultant-summer-intern-co-op-at-kpmg,,expired,2021-03-16T20:26:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, +5d494877-7ac0-465c-a5ac-a3f7e9f8638e,54717932,Thomson Reuters,"Senior Analyst- Product Insights, CSP",on_site,"Toronto, ON, Canada",2021-03-16T20:32:57.243Z,"

                                                    As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                    -

                                                    Professional and Technical Requirements

                                                    -

                                                    Education/Qualifications:

                                                    -

                                                    ● Bachelor’s degree or equivalent in computer science, business management or related scientific or quality related field or equivalent combination of education, training and experience.

                                                    -

                                                    Minimum:

                                                    -

                                                    ● Minimum 3 years in pharmaceutical industry including at least 1 in a data analysis and reporting related role.

                                                    -

                                                    ● Awareness of GxP regulatory requirements.

                                                    -

                                                    Desired:

                                                    -

                                                    ● Knowledge of GCP, CSV, pharmacovigilance / drug safety regulatory requirements.

                                                    -

                                                    Experience, Skills, Knowledge:

                                                    -

                                                    ● Good understanding of analysis reporting tools.

                                                    -

                                                    ● Proven experience in data wrangling and visualization tools for visual data analysis.

                                                    -

                                                    ● Demonstrated analytical, problem solving and decision-making skills.

                                                    -

                                                    ● Project management skills.

                                                    -

                                                    ● Effectively formulates strategies, tactics and action plan to achieve results.

                                                    -

                                                    ● Highly effective teamwork and collaboration skills.

                                                    -

                                                    ● Ability to work effectively in an international multicultural matrix organization.

                                                    -

                                                    ● Excellent written and verbal communication skills.

                                                    -

                                                    ● Fluency in written and spoken English.

                                                    -

                                                    ● Demonstrated knowledge of product development related global regulatory requirements.

                                                    -

                                                    Other (e.g. Travel): Travel: up to 10%

                                                    +

                                                    If you are looking to be in the driver seat of one of the largest product transformation exercises for a multibillion-dollar global brand, this is your opportunity to do so. The enterprise product analytics team is a multi-functional data, insights, and growth team inside the product organization of Thomson Reuters, focusing exclusively on data-driven decision making.

                                                    -

                                                    #LI-LM1

                                                    -

                                                    Show less

                                                    +

                                                    The Senior Products Insights Analyst will be responsible for end-to-end product analytics for the named product(s). The analyst will be owning the implementation of product analytics trackers such as (not limited to) Pendo, building reports/dashboards, and using them to produce feature/usage insights to drive routine product management. This will be a product-focused role requiring thorough understanding and ownership of the assigned products, their roadmap, and skills to draw business, customer, and product insights from data.

                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    As a Senior Analyst- Product Insights, you will:

                                                    • -Who we areA member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

                                                      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
                                                    • +Thought Leadership: Act as analysis/insights thought leader for the assigned product team(s) leading important analyses like customer journey mapping, in-product flow analysis, cohort analysis, and audience profiling
                                                    • -Job facts
                                                        -
                                                      • Location United States of America, California, South San Francisco | Switzerland, Basel-City, Basel | Canada, Ontario, Mississauga | United Kingdom, Hertfordshire, Welwyn -
                                                      • Function Information Technology
                                                      • Subfunction Digitalisation / Data / Insights
                                                      • Schedule Full time
                                                      • Job level Individual contributor
                                                      • Job type Regular
                                                      • Division Roche Pharmaceuticals
                                                      • Posted since 2021/05/06
                                                      • Job-ID 202105-111823 -
                                                      • -
                                                      -
                                                    • +Drive Data-Driven Culture: Co-own product feature wishlist(s) and roadmap with product managers, nurturing strong data-driven product management and decision making; continuously draw insights to drive (or challenge) product management backlog;
                                                    • -Get in touch Ms. Leesa Ann McLane
                                                    • +Improve Product: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities
                                                    • -You could also like these jobs

                                                      Analytics Program Manager, Site Services

                                                      United States of America, California, South San Francisco

                                                      Informatics Analyst II, Development Sciences

                                                      United States of America, California, South San Francisco

                                                      Solution Architect

                                                      United States of America, California, South San Francisco
                                                      -
                                                    • -
                                                    ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-111823&locale=en&title=Quality+Data+Analyst+Specialist&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-06-25T06:19:24.617Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/64198246-quality-data-analyst-specialist-at-roche,,expired,2021-05-26T06:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -b575d9e4-a727-4da6-8f7c-afdbe1d572e6,64894579,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-29T19:50:07.098Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Partner with clients to solve their most complex problems

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                    -

                                                    -

                                                    Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -

                                                    What you will bring

                                                    -

                                                    -
                                                    • 2+ years in an infrastructure and/or DevOps role
                                                    • BS or MS in computer science, or equivalent
                                                    • -Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                      • Hosted Kubernetes on AWS, Azure or GCP
                                                      • Installing and maintaining on-premise Kubernetes infrastructure
                                                    • Coding experience in one of Python, JavaScript or Java
                                                    • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                    • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                    • Proven record of following continuous integration and delivery best practices
                                                    • Expertise in GIT and Jenkins pipelines
                                                    • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                    • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                    • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                    • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                    • Understanding of cloud computing and on-premise security principles and best practices
                                                    • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +Implementation: Partner with product managers to establish measurement plan and then work with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure right metrics, journeys, and events are captured in-product +
                                                    • +Lead BI/Reporting: Partner with BI teams to build dashboards and reports, including long-term trends, baselines and/or page performance, feature usage, and customer segments
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-06-08T21:56:43.041Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/64894579-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-05-29T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -139e0b2f-bfdf-4b87-8ec3-17391331ff13,65099067,Manulife,Data Scientist,on_site,"Toronto, ON CA",2021-05-30T19:50:13.402Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    Calling on a Data Scientist who can seamlessly combine tech know-how with business acumen to go from a promising ML experiment to a shipped product, with real-world impact.

                                                    -

                                                    -

                                                    You will join the Canadian Advanced Analytics team delivering decision support and insight to our Insurance Sales team. You will have dual reporting into Advanced Analytics and the sales organization to ensure that you are plugged into the data science community while staying close to our business needs. You will develop and implement analytics enabled solutions to improve business process, generate insights, support business goals, strategy development, and measure the impact of this work.

                                                    -

                                                    You must have technical skills in both data and software development. There are 3 core skills we are looking for:

                                                    +

                                                    About You

                                                    +

                                                    You’re a fit for the role of a Senior Analyst- Product Insights if you have:

                                                    +

                                                    Basic qualifications:

                                                      -
                                                    • Solid foundation in Data science techniques and concepts

                                                    • -
                                                    • In-depth coding knowledge of in Python and structured data (SQL)

                                                    • -
                                                    • Able to communicate insights that the business can interpret and execute on and drive adoption.

                                                    • +
                                                    • 5+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.,
                                                    • +
                                                    • 1+ years of hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
                                                    • +
                                                    • Experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
                                                    • +
                                                    • Experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python or SAS
                                                    • +
                                                    • Experience in going beyond reports/data- driving product management using insights and hypothesis testing

                                                    -

                                                    A true greenfield opportunity, you will join the team as we embark on cloud native architecture.

                                                    -

                                                    -

                                                    Key Accountabilities

                                                    +

                                                    Preferred qualifications:

                                                      -
                                                    • Build end-to-end machine learning solutions to solve complex customer problems

                                                    • -
                                                    • Working in collaboration with Canadian Insurance Sales business to plan, scope, implement and sustain predictive analytics solutions

                                                    • -
                                                    • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                    • -
                                                    • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model.

                                                    • -
                                                    • Make business recommendations with effective presentations of findings at multiple levels of stakeholders including division heads.

                                                    • +
                                                    • 5+ years of hands-on product analytics experience with exposure to agile/scrum process, product backlog grooming, etc.,
                                                    • +
                                                    • 3+ years of experience in product management or product analytics for customer success, billing, or customer management portal
                                                    • +
                                                    • Prior track-record driving significant business impact, influencing specific OKRs/metrics
                                                    • +
                                                    • At least 3 years of hands-on in-product analytics experience with one of these tools- Pendo, Amplitude, or Adobe Analytics (Pendo preferred)
                                                    • +
                                                    • At least 3 years of experience analyzing in-product data including analyses such as customer journey mapping, audience profiling/segmentation, cohort/mix analysis
                                                    • +
                                                    • At least 3 years of hands-on data mining experience with one of these tools- SQL (traditional or PL), Hive/Hue, Python, or SAS
                                                    • +
                                                    • At least 3 years of experience of going beyond reports/data- driving product management using insights and hypothesis testing
                                                    • +
                                                    • Understanding of various concepts such as agile/scrum, A/B or multivariate testing, tag management, journey mapping, and segmentation
                                                    • +
                                                    • Tax or Legal subscription products experience preferred
                                                    +

                                                    +

                                                    What’s in it For You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • Develop measurements and feedback systems

                                                    • -
                                                    • Mentor associates and peers on Data Science best practices

                                                    • +
                                                    • +Learning & Development:

                                                      +
                                                        +
                                                      • Exposure to a wide breadth of leading-edge technology
                                                      • +
                                                      • Career growth - the ability to work on multiple projects and/or with various teams
                                                      • +
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series, etc.
                                                      • +
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor, and more, we offer learning opportunities for everyone
                                                      -

                                                      -

                                                      Key Experiences:

                                                      +
                                                    • +
                                                    • +Benefits/Perks:

                                                        -
                                                      • 2+ years working experience in developing and implementing data science techniques (predictive, prescriptive with proficiency in Python

                                                      • -
                                                      • Advanced working SQL knowledge and experience working with relational databases and SQL

                                                      • -
                                                      • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                      • -
                                                      • Working knowledge of Salesforce will be an asset

                                                      • -
                                                      • Minimum 1 year of experience in basic software development practices (git, code scan, modular code development) the last 2 years

                                                      • -
                                                      • Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML will be an asset.

                                                      • -
                                                      • Experience with deep learning methodologies either in practice or in academia

                                                      • -
                                                      • Effective and concise oral and written storytelling and insights communication skills

                                                      • -
                                                      • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                      • -
                                                      • Ability to document work and effectively prioritize documentation

                                                      • -
                                                      • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                      • +
                                                      • Health benefits
                                                      • +
                                                      • Savings/investment plans
                                                      • +
                                                      • Paid time off (including time off to volunteer and extended parental leave)
                                                      • +
                                                      +
                                                    • +
                                                    • +Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance
                                                    • +
                                                    • +Global Opportunities: We have employees in over 90 countries, working across 3 different industries
                                                    • +
                                                    • +Your wellbeing: We offer a program that focuses on making our lives healthier

                                                    -

                                                    Nice to have

                                                    -
                                                    • Past experience in distributor-based sales for life insurance /wealth management products, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    -


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    -


                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of December 31, 2020, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/1125374/DataScientist,feed-importer@jobboard.io,,,,2021-06-30T15:42:38.312Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/65099067-data-scientist-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1125374/DataScientist,expired,2021-05-30T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f0fdb740-822e-431e-a757-46d0546287cd,65255487,Unity Health Toronto,Senior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-05-31T10:59:00.164Z,"

                                                    The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on vision learning applications in healthcare (data science, machine learning, and medical imaging with an emphasis on CT scans).

                                                    -

                                                    DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                                    -

                                                    The main roles of a Data Scientist (called a Senior Data Science Specialist at St. Michael’s Hospital) are to design scientifically rigorous approaches to examining data, apply advanced analytical techniques to healthcare data, and translate the findings into meaningful, applied knowledge for end users. This includes conceptualizing algorithms and study designs, creating statistical analysis plans, conducting and interpreting analyses, and reporting findings in an applied manner. The Data Scientist role is a service-based role, rather than a traditional academic research role. However, depending on the interests of the individual, some level of academic engagement can be explored. Each Data Scientist at the DSAA has an area of specialization, such as machine learning, simulation modeling, biostatistics and financial analytics. The area of specialization for this Data Scientist position is vision learning with a focus on machine learning.

                                                    -

                                                    MAIN DUTIES & RESPONSIBILITIES:

                                                    -
                                                      -
                                                    • Develop research study plans outlining key components of analytical approaches. Provide on-demand consultative data science expertise for ad-hoc requests and recommend data science approaches to meet client needs
                                                    • -
                                                    • Work closely with potential clients to establish coding techniques, structure of dataset for studies and develop sound analytical plans
                                                    • -
                                                    • Conduct analyses using machine learning approaches such as support vector machines, dimensionality reduction, image classification, segmentation, object detection, representation learning, and various neural network architectures.
                                                    • -
                                                    • Ensure adequate quality control by setting standards, monitor results and institute appropriate steps for data cleaning, consistency checks and other data quality control measures prior to analysis
                                                    • -
                                                    • Carry out all computer programming required to execute analyses and develop efficient standardized programs, algorithms, or systems to enhance efficiency
                                                    • -
                                                    • Maintain data documentation, physical and logical storage of scripts, records and master archive lists
                                                    • -
                                                    • Critically appraise/edit code of trainees, students etc.
                                                    • -
                                                    • Integrate with the other Data Scientists at the DSAA to develop multi-disciplinary analytic approaches, and assist in best practices and process development
                                                    • -
                                                    • Work closely with data engineering and product development teams to deliver production level tools used in healthcare settings
                                                    • -
                                                    • Analyze/interpret results of research studies – draw conclusions for review and incorporation into reports/presentations
                                                    • -
                                                    • Prepare output of analyses for review including graphs, tables, and interpretation
                                                    • -
                                                    • Ensure accuracy of all analyses and appropriate interpretation in study reports
                                                    • -
                                                    • Collaborate with clients, students and other Data Scientists on academic presentations and co-authorship of publications
                                                    • -
                                                    -

                                                    QUALIFICATIONS

                                                    -
                                                      -
                                                    • A Master's degree in quantitative, informatics, or medical imaging fields (e.g., Computer Science, Medical Imaging, Data Science, or related discipline) is strongly preferred
                                                    • -
                                                    • A PhD degree in quantitative, informatics, or medical imaging fields (e.g., Computer Science, Medical Imaging, Data Science, or related discipline) is highly desirable
                                                    • -
                                                    • Experience with and focus on machine learning, computer vision, and medical imaging is strongly preferred
                                                    • -
                                                    • Experience working with large health datasets is preferred
                                                    • -
                                                    • Experience with containerization (e.g., Docker, kubernetes) is an asset
                                                    • -
                                                    • Mastery of python (including pytorch, scikit-learn, and scikit-image), opencv, and tensor flow is an asset. Experience with the same tools and frameworks in R is also an asset.
                                                    • -
                                                    • Demonstrated mastery of machine learning methods with a focus on computer vision and also has an ability to develop and code algorithms over and beyond the standard ML tools and libraries
                                                    • -
                                                    • Deep mathematical understanding and experience with machine learning approaches such as artificial neural networks, Bayesian networks, discriminative and generative classifiers, representation learning, and convolutional neural networks
                                                    • -
                                                    • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website).
                                                    • -
                                                    ",,https://www.recruitingsite.com/csbsites/unityhealth/JobDescription.asp?lang=en&JobNumber=877223,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-06-18T14:30:00.000Z,False,0,7,79,https://talenthub.vectorinstitute.ai/jobs/65255487-senior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-05-31T10:59:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, -fd67c439-6da4-4f3f-adb3-daa6a8331ed7,65347171,CN,Specialist DataOps,on_site,"Toronto, ON, Canada",2021-05-31T20:27:41.942Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    -

                                                    Job Summary

                                                    -

                                                    The role of Specialist DataOps is to contribute to the whole solution by analyzing functional specifications to identify the best technical design (blueprint). The Specialist work with other DataOps Specialist, Data Scientists and Data Engineers across the company to accelerate the deployment and monitoring of models at scale.

                                                    -

                                                    The specialist also takes full responsibility of assigned deliverables, aligns own workload and focuses on key tasks in order to deliver as per service commitment, leveraging own expertise and skill set to achieve delivery goals. Depending on the assignment, the role may apply in either a Project, Enhancement or Support environment.

                                                    -

                                                    Main Responsibilities

                                                    -

                                                    Deliver – 25%

                                                    -
                                                      -
                                                    • Implement best practices for ML model deployment and monitoring
                                                    • -
                                                    • Research and implement MLOPS tools, framework for Data Science and AI projects
                                                    • -
                                                    • Raise MLOPS maturity in the organization
                                                    • -
                                                    • Provide support to Data Scientist and Data Eng. from model design to deployment
                                                    • -
                                                    • Design and implement pipelines for continuous training, deployment and model monitoring in production
                                                    • -
                                                    • Design and improve end-to-end machine learning workflows that spans feature extraction, training, hyperparameter tuning and serving of production ML/AI models.
                                                    • -
                                                    • Collaborate with Data Scientist, Data Engineers and DataOps Specialists to improve automation, reproducibility, consistency and reduce friction of ML experimentation and improve testing and deployment strategies for ML/AI models
                                                    • -
                                                    -

                                                    Technical Expertise – 25%

                                                    -
                                                      -
                                                    • Excellent understanding of Data Science concepts with hands-on experience in ML model deployment in Azure and/or other cloud platform
                                                    • -
                                                    • Good knowledge of predictive, prescriptive, preventive and real-time model design, univariate and multivariate algorithms. Computer vision, Deep Learning, Ensemble model.
                                                    • -
                                                    • Create, review and maintain technical documentations.
                                                    • -
                                                    • Experience in implementing and deploying CI/CD pipelines using Azure pipelines.
                                                    • -
                                                    • Proficiency with Azure Cloud, Databricks, MLFlow and Azure ML.
                                                    • -
                                                    • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms
                                                    • -
                                                    -

                                                    Architecture – 25%

                                                    -
                                                      -
                                                    • Contribute in developing the design and coding standards that will apply to the whole practice
                                                    • -
                                                    • Document blueprint based on requirements & functional designs
                                                    • -
                                                    • Participate in architectural discussions to ensure solutions are designed for successful deployment.
                                                    • -
                                                    • Involved in gathering, understanding and validating project specifications and participate in architecture design reviews
                                                    • -
                                                    -

                                                    Quality Controls – 25%

                                                    -
                                                      -
                                                    • Ensure Quality KPI are identified, measured and produced ensuring respect of development and deployment standards. Ensure right level of testing is consistent across all projects.
                                                    • -
                                                    • Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work.
                                                    • -
                                                    • Perform reviews and quality checks after data has been loaded and model has been deployed.
                                                    • -
                                                    • Educate/mentor data scientists and teams on MLOPS best practices.
                                                    • -
                                                    -

                                                    Organizational Impact

                                                    -

                                                    Decision Making & Impacts

                                                    -
                                                      -
                                                    • Decide on development standards and develop technical blueprint & design
                                                    • -
                                                    • Direct impact on the quality of the applications, solutions and part of the code delivered
                                                    • -
                                                    • Direct impact on product delivery schedule based on adherence to estimates and duration committed
                                                    • -
                                                    -

                                                    Level of Interaction/Influence

                                                    -
                                                      -
                                                    • External: N/A
                                                    • -
                                                    • Internal: Work closely with Development Architects, Development Practice Leads and Data scientists. Interact with project teams (functional, development and test leads, project managers).
                                                    • -
                                                    -

                                                    Experience

                                                    -
                                                      -
                                                    • Minimum 7-10 years overall work experience
                                                    • -
                                                    • 5+ years experience of relevant technical expertise
                                                    • -
                                                    -

                                                    Assets

                                                    -
                                                      -
                                                    • Azure /DevOps Certification, DataBricks Certification
                                                    • -
                                                    • Knowledge of Hadoop ecosystem (Hive, Spark, HDFS, NiFi)
                                                    • -
                                                    -

                                                    Education/Certification/Designation

                                                    -
                                                    • Bachelor’s degree in computer science or equivalent degree or work experience
                                                    -

                                                    Functional competencies/Soft Skills

                                                    -
                                                      -
                                                    • Strong communication skills, including the ability to speak clearly to technical and nontechnical people.
                                                    • -
                                                    • Self-driven, highly motivated, team player and able to learn quickly
                                                    • -
                                                    • Ability to learn quickly and to adapt to fast-paced environment
                                                    • -
                                                    -

                                                    Technical skills/ Knowledge

                                                    -
                                                      -
                                                    • Proficiency with ML Algorithms, Model deployment and drift detection.
                                                    • -
                                                    • Awareness of Agile principles (SAFE), automation
                                                    • -
                                                    • Experience with Azure (DataLake, DataFactory, DataBricks, Azure ML)
                                                    • -
                                                    • Knowledge of Big Data analytics technologies in a Cloud environment
                                                    • -
                                                    • Azure DevOps, Git, Python, PowerShell, Terraform, Azure ARM templates
                                                    • -
                                                    • Strong knowledge of Azure, SaaS, IaaS & PaaS Services.
                                                    • -
                                                    • Experience with AKS, Cognitive Services, MLOps, Data Factory
                                                    • -
                                                    -

                                                    About CN

                                                    -

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    Accessibility

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6307?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-30T20:27:43.483Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/65347171-specialist-dataops-at-cn,,expired,2021-05-31T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -2b306b68-d643-464c-9446-fdd942d7d0b7,65347928,CN,Data System Analyst - Big Data,temporary,"Montreal, QC, Canada",2021-05-31T20:29:31.053Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    -

                                                    Job Summary

                                                    -

                                                    The role of Analyst Data Analysis is to work with leading-edge technologies such as sensors and control electronics, sophisticated planning and decision support systems, big data infrastructures, advanced analytics, deep learning. This role is responsible for managing master data set, developing reports, and troubleshooting data issues. The role prompts for deep understanding of the data analysis tools and databases. The Analyst Data Analysis brings technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions. The role ensures data integrity and normalization, and oversees and designs the reporting environment, including data sources, security, and metadata.

                                                    -

                                                    Main Responsibilities

                                                    -

                                                    Definition & Delivery of Specific Interim Analytical Data Lakes

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/USA-Carrollton-2395-Midway-Rd/Senior-Analyst--Product-Insights--CSP_JREQ140192?SourceID-APPLICANT_SOURCE-3-713,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-04-15T20:32:59.275Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/54717932-senior-analyst-product-insights-csp-at-thomson-reuters,,expired,2021-03-16T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +a15e023f-bc78-4d3b-8574-f8980be86120,55002569,Thomson Reuters,Jr Data Engineer,on_site,Toronto-Ontario-Canada,2021-03-18T15:39:20.768Z,"
                                                    +Job Description

                                                    Thomson Reuters Information Security and Risk Management (ISRM) team is seeking a high-energy, motivated Data Engineer to join our security engineering team tasked with delivering innovative software and data solutions to improve the security posture of Thomson Reuters. Our products service customers across various security functions including Incident Response, Identity and Access Management, Cyber Intelligence, Enterprise Vulnerability Management, Data Loss Prevention, and Security Architecture. In this role you will be based in our Eagan, MN location.

                                                    +

                                                    About the role:

                                                    +

                                                    In this role as a Data Engineer, you will…

                                                      -
                                                    • Design, develop curated data assets to be consumable from a data lake, to support operational reporting, data science and self analytics
                                                    • -
                                                    • Data design must be ensure the integrity of all data accuracy
                                                    • -
                                                    • Participate in the selected delivery of specific data elements to the interim sites respecting data ownership, sharing and security arrangements, and data confidentiality agreements under senior guidance
                                                    • -
                                                    • Participate in (and eventually proposing) simplification initiatives to allow for more effective data management to change the conversation from tactical to strategic which is insight and action orientated focused
                                                    • -
                                                    • Defines the requirements for the data pipelines that will enable faster, better, data-informed decision-making within the business
                                                    • -
                                                    • Leads innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for platforms
                                                    • -
                                                    • Analyzing proposed application/system changes and making recommendations for approval
                                                    • -
                                                    • Designing and developing requirements for the development of ETL packages from the business source systems
                                                    • -
                                                    • Performs ad-hoc analyses of data stored in the business’s MySQL/MS SQL databases and writes SQL scripts, analyze data
                                                    • -
                                                    • Troubleshoots data issues within the business and across the business and presents solutions to these issues
                                                    • -
                                                    • Must be able to test and apply test process
                                                    • +
                                                    • +Be Agile: Working with a team to design, build and deploy high quality software products for ISRM
                                                    • +
                                                    • +Be Responsible: For the end-to-end delivery of features across our product suite
                                                    • +
                                                    • +Be Customer Driven: Continuously improve software engineering practices and contribute new ideas to the team
                                                    • +
                                                    • +Be Collaborative: Work with product owner(s) and/or team members to understand product vision and requirements
                                                    • +
                                                    • +Be a subject Matter Expert: Regularly self-improve by monitoring changes in tech landscape
                                                    -

                                                    Participate in the Delivery and Support ad-hoc Data Quality and Dara Consolidation Initiatives (Business Case)

                                                    +

                                                    +

                                                    About you:

                                                    +

                                                    Required Qualifications:

                                                      -
                                                    • Preparation of Daily Reporting for the Executive, Customer, and Client user levels ensuring numbers are correct and working with communication to appropriate parties if issues arise
                                                    • -
                                                    • Propose simplification initiatives to allow for more effective data design, and management
                                                    • -
                                                    • Excellent presentation skills required, design must be presented to the Design Review Board (DRB)
                                                    • +
                                                    • Bachelor’s Degree or Equivalent Work Experience
                                                    • +
                                                    • 2+ years development experience in building ETL/ELT data flows
                                                    • +
                                                    • Experience with Python or Java development
                                                    • +
                                                    • Hands-on knowledge in using SQL queries (analytical functions) and writing and optimizing SQL queries
                                                    • +
                                                    • Experience working with data visualization tools (Tableau, Power BI...)
                                                    • +
                                                    • Experience with version control systems such as Git
                                                    • +
                                                    • Experience with cloud platforms and services such as AWS/Azure
                                                    • +
                                                    • Strong problem-solving and interpersonal skills
                                                    • +
                                                    • Ability to perform in a changing environment
                                                    -

                                                    Illustrate and Support a Variety of Optimized Analytics Delivery Capabilities

                                                    +

                                                    +

                                                    Preferred Qualifications:

                                                      -
                                                    • Development of visualization analytics using tools, ie Power BI, or Tableau in desktop and apps to deliver simplified analytics to support insight development
                                                    • -
                                                    • Provide analytical support by creating and sharing regular and ad hoc reports as required
                                                    • +
                                                    • Degree in a technical field such as Computer Science/Engineering, Physics, Mathematics or Statistics
                                                    • +
                                                    • Familiarity with Docker and Elastic Containers
                                                    • +
                                                    • Familiarity with Serverless design, architecture and frameworks such as Lambda
                                                    • +
                                                    • Familiarity with IaC frameworks such as CloudFormation or Terraform
                                                    • +
                                                    • Experience with CI/CD pipelines and processes
                                                    • +
                                                    • Experience with Shell scripting and Linux OS
                                                    • +
                                                    • Experience with Database/Data Warehouse technologies such as PostgreSQL or Snowflake
                                                    • +
                                                    • Experience with enterprise security
                                                    • +
                                                    • Experience with Agile software development practices
                                                    -

                                                    Working Conditions

                                                    -
                                                    • This role may require occasional business travel in accordance with CN policy for meetings
                                                    -

                                                    Requirements

                                                    -

                                                    Experience

                                                    +

                                                    +

                                                    What's in it for you!

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • Minimum 3-5 years overall work experience
                                                    • -
                                                    • Between 1 and 3 years of experience in Analytics and Data Science
                                                    • +
                                                    • +Perks: You will have the opportunity to work for a company that has a market dominant position for both content and technology and is passionate about giving back to the community.
                                                    • +
                                                    • +Learning & Development: You are will be joining a growing sales team that has the commitment of the company to prioritize organic growth and has made investments to expand the sales team capability.
                                                    • +
                                                    • +Compensation: Base salary and a variable compensation that is directly related to your success
                                                    • +
                                                    • +Benefits: Extraordinary benefits package.
                                                    -

                                                    Education/Certification/Designation

                                                    -
                                                    • Bachelor’s degree specializing in Mathematics and Statistics / Computer Science / Business Analytics / or other quantitative field, related degree or equivalent experience
                                                    -

                                                    General Skills and Competencies

                                                    -
                                                      -
                                                    • Expert ability to identify data requirements, gaps and assess end-to-end data requirements
                                                    • -
                                                    • Excellent Communication skills to build alliances and gain consensus with key stakeholders to promote Test Data Management best practices
                                                    • +

                                                      +

                                                      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                      +

                                                      +

                                                      We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                      +

                                                      +

                                                      Accessibility

                                                      +

                                                      +

                                                      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                      +

                                                      +

                                                      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                      +

                                                      +

                                                      More information about Thomson Reuters can be found on thomsonreuters.com.

                                                      +

                                                      Locations
                                                      Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/501517/Jr-Data-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-03-25T15:45:10.294Z,False,0,6,18,https://talenthub.vectorinstitute.ai/jobs/55002569-jr-data-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/501517/Jr-Data-Engineer/,expired,2021-03-18T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +15a3745e-bfd6-4233-8bbe-b3d6901a6cf8,55002655,Deloitte,"Senior Manager, Intelligent Automation, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-18T15:39:27.593Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Ottawa; Toronto

                                                    +

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +

                                                    As part of this team you would be working with our industry and account teams – spotting client opportunities, tailoring our propositions and working together to convert sales. You would harness key IA platforms such as ABBYY, AWS, Automation Anywhere, Blue Prism, Celonis, GCP, Microsoft, UiPath and others, to address the challenges and automation ambitions of our clients and deliver results. As a Senior Manager within this team, you have the opportunity to combine your deep industry experience with your technical knowhow to develop your career while working with multiple clients.

                                                    +

                                                    A Senior Manager at Deloitte is expected to contribute to the firm's growth and development in a variety of ways, including:

                                                    +
                                                    • Business Development: Develop and maintain contact with top decision makers at key clients in your sector; work closely with Deloitte industry and account leaders in your chosen industry to integrate IA propositions; organize and lead IA pursuit teams; lead, participate and win proposals.
                                                    • Client Management: Manage day-to-day interactions with executive clients and sponsors; define, educate and embed IA principles and solutions at clients.
                                                    • Engagement Management: Lead IT engagement teams; complete project planning and budgeting; define deliverable structure and content; facilitate buy-in of proposed solutions from all levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk; manage diverse teams within an inclusive team culture where people are recognized for their contribution.
                                                    • Practice Development & Eminence: Develop IA practical solutions, Proof of Concepts and methodologies; develop IA thought leadership and point-of-view documents; participate in public speaking and events in your industry.
                                                    • People Development: Perform role of people leader and coach; provide input and guidance into the staffing process; actively participate in IA staff recruitment and retention activities; provide leadership and support for IA delivery teams and staff in local offices.
                                                    -

                                                    Technical Skills/Knowledge

                                                    -
                                                      -
                                                    • Data Warehouse/Business Intelligence or relevant data environment; in either a development or a support role
                                                    • -
                                                    • Experience in Data Design, Data Analytics or Data Science
                                                    • -
                                                    • Exposure to Data modeling experience, and data architecture best practices
                                                    • -
                                                    • Experience with relational database modeling techniques
                                                    • -
                                                    • Experience with dimensional modeling techniques
                                                    • -
                                                    • Experience coding with R programming language or SAS (Statistical Analysis System). Data science “R” programming language is generally preferred.
                                                    • -
                                                    • Expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities
                                                      • Advising staff and users on database design practices
                                                      -
                                                    • -
                                                    • Experience using Azure, Datalake, Hadoop, SQL, Data Bricks
                                                    • -
                                                    • Nice to have experience with unstructured data, withe background with using data from of social media, video feeds or audio.
                                                    • -
                                                    • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group
                                                    • -
                                                    • Experience in real time data streaming and loading
                                                    • -
                                                    • Experience in domain driven model
                                                    • -
                                                    • Data profiling, data extraction and breaking down data to a domain driven model
                                                    • -
                                                    • Advance SQL skills to enhance the performance tuning of the extraction process
                                                    • -
                                                    • Ability to create strategies for loading, purging and retaining data
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +

                                                    Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • Solid delivery experience with intelligent automation projects, including with Robotic Process Automation, Business Process Management and Artificial Intelligence solutions (or other technology-enabled transformation programs/projects) with large budgets and strategic impact, particularly in your chosen industry sector
                                                    • Provided advisory and implementation expertise to clients including use case and business case development for disruptor based technologies
                                                    • A proven track record of successfully leading and managing teams, including performance management, coaching and mentoring
                                                    • Managed stakeholders using clear communications and formed strong client relationships
                                                    • Knowledge and understanding of how Intelligent Automation technologies are driving change across your chosen industry and market, and address organizational challenges
                                                    • Designed and/or delivered automation centers of excellence (CoE) and operating models (desirable)
                                                    • Strong commercial and project management skills
                                                    • Worked independently and managed multiple task assignments
                                                    • Relevant consulting or industry experience
                                                    • Worked within an agile delivery environment; experience/certification in delivering change initiatives in an agile way is a plus
                                                    • Managed junior resources both on a project and day-to-day basis, including the quality assurance of client deliverables
                                                    • Worked effectively within an inclusive team and actively supported the development of individuals and teams, both formally and informally
                                                    • Eligibility for Canadian security clearances preferred
                                                    -

                                                    Assets

                                                    -
                                                      -
                                                    • Tools used ideally Kafka, spark, mulesoft, postgress, graphql, Snowflake, Databricks and spark
                                                    • -
                                                    • Experience working across both business and technology (5+ yrs.)
                                                    • -
                                                    • Written presentation experience; presenting insights in plain language and images (5+ yrs.)
                                                    • -
                                                    • Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem (5+ yrs.)
                                                    • -
                                                    • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group
                                                    • -
                                                    • The ability to learn quickly, problem solve/troubleshoot, work independently and in a team
                                                    • -
                                                    • Exposure to principles of change management, and scrum agile
                                                    • -
                                                    • Experience in leading and participating in business workshops
                                                    • -
                                                    • Ability to promote business intelligence, analytics, and reporting vision
                                                    • -
                                                    • Exposure to delivering commercially beneficial insights and analytics strategies
                                                    • -
                                                    • Exposure to hands-on support to orientate analytics around delivering value back to the business
                                                    • -
                                                    • Willingness to work on multiple projects at one time
                                                    • -
                                                    • Exposure to building analytical and quantitative analysis models (5+ yrs.)
                                                    • +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    -

                                                    About CN

                                                    -

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    -

                                                    For internal candidates, note that the grade level of the position will depend on the employee's experience.

                                                    -

                                                    -

                                                    -

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6216?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-18T14:30:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/65347928-data-system-analyst-big-data-at-cn,,expired,2021-05-31T20:29:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -d8e4008b-8bf2-4a12-8d84-9b7ce1670b2a,65349185,CN,Specialist - Data Development / Big data,on_site,"Toronto, ON, Canada",2021-05-31T20:32:47.088Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    -

                                                    -

                                                    -

                                                    We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,feed-importer@jobboard.io,,,,2021-04-21T13:58:14.872Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/55002655-senior-manager-intelligent-automation-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Manager%2C-Intelligent-Automation%2C-Omnia-AI-ON-M5C-3G7/704076500/,expired,2021-03-18T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, +8223d8f9-1a8d-4eac-a3d7-1f0c9fc0cdd8,55024078,Accenture,Data Visualization Consultant,on_site,"Ontario - Toronto,Quebec - Montreal",2021-03-18T21:25:11.444Z,"

                                                    Job Description

                                                    A Data Visionary—literally! As a digital business integration pro, you’re fascinated by data, no matter where it comes from. Your superpower? Leading data visualization efforts by creating crystal clear, compelling visualizations of data in clients’ standard platforms—then teasing out and sharing insights from that data. You have top-notch communication skills and you’re in your element managing projects and juggling priorities in a fast-paced setting where results are everything.

                                                    +

                                                    The Work:
                                                    • Build powerful, stand-out visualizations of process and business operations data
                                                    • Grasp users’ needs and translate them into business and technology solutions
                                                    • Consult on and help with the making of creative data visualization to give users the best experience possible
                                                    • Prototype and build new ideas and take part in all stages of the product lifecycle from research to release
                                                    • Help migrate users’ homegrown data visualization applications to enterprise standard
                                                    • Analyze “as is” and “to be” processes to define system/technology/business requirements
                                                    • Interact and iterate with business users to define, co-create and validate compelling Analytics applications or dashboards that drive value-add
                                                    • Be ready to rack up those air miles with weekly travel to client sites

                                                    READ MORE OF THE JOB DESCRIPTION

                                                    +

                                                    Qualifications

                                                    +

                                                    Here’s What You Need:
                                                    • Minimum of a bachelor's degree or equivalent (12 years minimum) of hands on data visualization experience
                                                    • Minimum 5 years' of full life cycle Development. Agile and waterfall delivery experience
                                                    • Minimum 5 years' of design or development experience with PowerBI, as well as experience with either Tableau or Qlik, and one or more of the following data visualization tools; Tableau, Spotfire, Qlik, ThoughtSpot, Business Objects and SAP Analytics Cloud
                                                    • Minimum of 2 year of data technology experience to include ETL tools (BODS, Informatica, Talend, Alteryx, Ab Initio, DataStage) or Data Modeling (Oracle, SQL Server, Teradata, SAP, Netezza) or other reporting tools such as Cognos, MicroStrategy, Business Objects
                                                    • Fluency in Design Thinking, Data Literacy and Storytelling
                                                    • Expertise in managing development of dashboards, scorecards and reporting visualizations

                                                    +

                                                    Bonus Points If:
                                                    • Certified in one or many of the technologies mentioned above
                                                    • Custom data visualization experience using Javascript, R, CSS, HTML5 and/or d3.js
                                                    • Scripting skills in Python, SAS and/or R or have integrated this type of statistical analysis tool with data visualization tools.
                                                    • Industry experience (financial services, resources, healthcare, government, products, communications, high tech)

                                                    +

                                                    Important information
                                                    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.

                                                    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

                                                    Equal Employment Opportunity
                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

                                                    +

                                                    Locations

                                                    Ontario - Toronto,Quebec - Montreal

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    +

                                                    Equal Employment Opportunity Statement

                                                    +

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    +

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    +

                                                    Requesting An Accommodation

                                                    +

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    +

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    +

                                                    Other Employment Statements

                                                    +

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    +

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00944101_en&title=Data+Visualization+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-04-08T21:30:06.093Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/55024078-data-visualization-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00944101_en&title=Data+Visualization+Consultant,expired,2021-03-18T21:25:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +fa8a737f-80e3-4a31-b18b-3919ed5555c3,55454028,BMO Financial Group,"Analyst, Diversity Analytics & Insights",on_site,"Toronto, ON, Canada",2021-03-22T15:23:22.678Z,"

                                                    Address:

                                                    +

                                                    176 Yonge Street

                                                    -

                                                    RESPONSIBILITIES

                                                    -
                                                      -
                                                    • Create and maintain optimal data pipeline architecture,
                                                    • -
                                                    • Assemble large, complex data sets that meet functional / non-functional business requirements.
                                                    • -
                                                    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                                    • -
                                                    • Extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hadoop technologies.
                                                    • -
                                                    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
                                                    • -
                                                    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
                                                    • -
                                                    • Keep our data separated and secure across the data lake to adhere to industry and regulatory requirements
                                                    • -
                                                    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
                                                    • -
                                                    • Work with data and analytics experts to strive for greater functionality in our data systems.
                                                    • -
                                                    • Report progress status and issues.
                                                    • -
                                                    • Apply, and ensure compliance with, all appropriate CN IT standards (e.g. Code quality, Security, Architecture, Project Delivery Methodology, SOX, etc.)
                                                    • -
                                                    +

                                                    Job Family Group:

                                                    +

                                                    Data Analytics & Reporting

                                                    -

                                                    REQUIREMENTS

                                                    -
                                                      -
                                                    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (ADX)
                                                    • -
                                                    • Experience building and optimizing hadoop data pipelines, architectures and data sets.
                                                    • -
                                                    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                                                    • -
                                                    • Strong analytic skills related to working with unstructured datasets.
                                                    • -
                                                    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
                                                    • -
                                                    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
                                                    • -
                                                    • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
                                                    • -
                                                    • Strong organizational skills and can work autonomously to provide data solutions
                                                    • -
                                                    • Experience supporting and working with cross-functional teams in a fast paced environment.
                                                    • -
                                                    • 10+ years of experience in a Data Engineer role, graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
                                                    • -
                                                    • Should also have experience using the following software/tools:
                                                    • -
                                                    • Experience with big data tools: ADX, Hadoop, Spark, Kafka, etc.
                                                    • -
                                                    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
                                                    • -
                                                    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
                                                    • -
                                                    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
                                                    • -

                                                    +

                                                    The Analyst, Diversity Analytics & Insights provides analytical and data management capabilities to support the core diversity processes. This individual provides the fact-base for all diversity related presentations and assessments. They are accountable to gather, synthesize and communicate diversity data in way that supports the decision making process as we build diversity & inclusion programs.

                                                    +

                                                    This role will be the enterprise source for diversity management information including dashboards and general reporting. Due to the sensitive nature and the criticality of the information under the incumbent’s responsibility, this role requires a high level of attention to detail and accuracy.

                                                    -

                                                    ASSETS

                                                    +

                                                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                      -
                                                    • Experience in Development Practices and proven methodologies (Agile, Iterative, Waterfall)
                                                    • -
                                                    • Experience with Cloudera/MapR/Hortonworks Hadoop distributions with a preference on Hortonworks
                                                    • -
                                                    • Hortonworks certification is a definite asset
                                                    • -
                                                    • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB is an asset
                                                    • -
                                                    • Experience with Spark is a asset
                                                    • +
                                                    • Acts as a trusted advisor to assigned business/group.
                                                    • +
                                                    • Leads the design, development, and implementation of analytic solutions.
                                                    • +
                                                    • Identifies emerging issues and trends to inform decision-making.
                                                    • +
                                                    • Recommends and implements solutions based on analysis of issues and implications for the business
                                                    • +
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • +
                                                    • Ensures alignment between stakeholders about business needs and data needs.
                                                    • +
                                                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                    • +
                                                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                    • +
                                                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                                                    • +
                                                    • Automates validation tests to improve quality and efficiency of the validation process.
                                                    • +
                                                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                                                    • +
                                                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                    • +
                                                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                                                    • +
                                                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                    • +
                                                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                    • +
                                                    • Designs, develops, and implements innovative analytical solutions.
                                                    • +
                                                    • Designs and produces regular and ad-hoc reports, and dashboards.
                                                    • +
                                                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                    • +
                                                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                    • +
                                                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                    • +
                                                    • Analyzes data and information to provide subject-matter insights and recommendations.
                                                    • +
                                                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                    • +
                                                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                    • +
                                                    • Builds effective relationships with internal/external stakeholders.
                                                    • +
                                                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                    • +
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • +
                                                    • Provides specialized consulting, analytical and technical support.
                                                    • +
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • +
                                                    • Works independently and regularly handles non-routine situations.
                                                    • +
                                                    • Broader work or accountabilities may be assigned as needed.

                                                      Qualifications:

                                                      +
                                                    • +
                                                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                    • +
                                                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
                                                    • +
                                                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                    • +
                                                    • Verbal & written communication skills - In-depth.
                                                    • +
                                                    • Collaboration & team skills - In-depth.
                                                    • +
                                                    • Analytical and problem solving skills - In-depth.
                                                    • +
                                                    • Influence skills - In-depth.
                                                    • +
                                                    • Data driven decision making - In-depth.

                                                    -

                                                    About CN

                                                    -

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    +

                                                    We’re here to help

                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    +

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    -

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6416?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-30T20:32:48.931Z,False,0,0,34,https://talenthub.vectorinstitute.ai/jobs/65349185-specialist-data-development-big-data-at-cn,,expired,2021-05-31T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Masters Degree,New Posting, -da098f96-fe1e-4aa9-a665-5e8eea8efb7d,65356828,Thales,APPLIED DEEP LEARNING SCIENTIST (FOCUS ON COMPUTER VISION),temporary,"Montréal, QC, Canada",2021-05-31T20:52:45.614Z,"

                                                    Location: Montreal, Quebec, Canada
                                                    Regular Employment, Full time

                                                    Location: Montreal, Canada

                                                    -

                                                    Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

                                                    -

                                                    Carrefour mondial de l’intelligence artificielle, Montréal est le foyer du nouveau centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx) collaborant avec les principaux groupes canadiens de recherche en intelligence artificielle à Montréal et à Toronto. S’appuyant sur ses compétences dans les principaux marchés industriels, Thales donne vie à l'intelligence artificielle au profit de ses clients tout en créant de passionnants emplois pour les chercheurs et les développeurs experts en intelligence artificielle en vue de trouver des solutions qui transformeront notre monde, du fond des océans aux confins de l'univers et du cyberespace. Ayant très tôt opté pour le modèle d’innovation ouverte et collaborative, Thales procède actuellement à la création de la structure du centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx). Piloté par Thales, le centre cortAIx, en collaboration avec l'Institut québécois d'intelligence artificielle (MILA), l'Institut de valorisation des données (IVADO) et l’Institut Vector de Toronto, est situé dans le célèbre quartier Petite-Italie, au cœur de la communauté de l’innovation à Montréal.

                                                    -

                                                    In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

                                                    -

                                                    Montreal – a world leading AI hub, is home to new Centre of Research & Technology in Artificial Intelligence eXpertise (cortAIx) collaborating with leading Canadian AI research groups in Montreal and Toronto. With competencies in major industrial markets Thales is bringing artificial intelligence to life for our customers creating exciting jobs for AI researchers and developers who will create solutions that will transform our world from the bottom of oceans to the depths of space and cyberspace. As an early adopter of open, creative and collaborative innovation model, Thales is building the Centre of Research and Technology in Artificial Intelligence eXpertise (cortAIx). Led by Thales, cortAIx, in collaboration with the MILA (Artificial Intelligence Institute of Quebec), the IVADO (Institute of Data Valorization) and the Vector Institute of Toronto, is located in Montreal’s famous Little Italy, in the heart of Montreal’s innovation community.

                                                    -

                                                    RAISON D’ÊTRE:

                                                    -

                                                    Un chercheur en intelligence artificielle (IA) appliquée en recherche et technologie (R&T) est chargé de découvrir, d'activer et d'intégrer des concepts d'IA innovants dans les solutions Thales. Il / elle prouve leur viabilité à travers la mise en œuvre de Proofs of Concept (PoC) et guide leur croissance de maturité à travers des prototypes et des démonstrateurs qui à leur tour illustreront et permettront leur plein potentiel commercial.

                                                    -

                                                    MISSIONS PRINCIPALES

                                                    -

                                                    En tant que chercheur en IA appliquée à la recherche et à la technologie, vous dirigerez les activités clés tout au long de nos projets au rythme rapide.

                                                    -

                                                    Pour réussir dans ce rôle, la curiosité pour ce qui est nouveau, la volonté de remettre en question le statu quo, l'ouverture d'esprit et la pensée originale sont essentielles. L'individu doit rapidement apprendre et évaluer les nouvelles techniques et technologies afin de décider de les adopter, de les adapter ou de les abandonner. Il doit également être capable de proposer de nouvelles idées, de les présenter, de les remettre en question et de les améliorer continuellement. L'individu doit posséder des compétences techniques approfondies et pratiques et être familiarisé avec les derniers outils et environnements de développement Deep Learning, avec un fort accent sur les applications de vision par ordinateur, afin de contribuer à la mise en œuvre de ces idées.

                                                    -

                                                    Proposer des concepts innovants et les mettre en œuvre est rarement un processus individualiste. Le scientifique fait partie d'une équipe multidisciplinaire. Un fort esprit d'équipe et des capacités de travail d'équipe sont obligatoires. Il / elle contribuera en tant qu'expert technique à des projets de Recherche et Technologie au sein de Thales et de ses business units. Par conséquent, de bonnes compétences en communication sont nécessaires.

                                                    -

                                                    EXIGENCES

                                                    -
                                                      -
                                                    • Maîtrise en informatique, ingénierie ou mathématiques
                                                    • -
                                                    • Expérience préalable en intelligence artificielle, apprentissage automatique
                                                    • -
                                                    • Compétences démontrées dans la conception de systèmes d’IA
                                                    • -
                                                    • Bonne base en mathématiques, statistiques et probabilités
                                                    • -
                                                    • Solide connaissance des fondations de l'apprentissage automatique avec un accent sur les applications de vision par ordinateur
                                                    • -
                                                    • Connaissance des architectures traditionnelles d'apprentissage profond (MLP, CNN, UNET, etc.) et des architectures d'apprentissage génératif profond (GAN, VAE) pour les tâches de vision par ordinateur.
                                                    • -
                                                    • Solides compétences en développement avec des frameworks d'apprentissage automatique tels que Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                    • -
                                                    • Solides compétences en programmation Python
                                                    • -
                                                    • Connaissance pratique du système d'exploitation Linux
                                                    • -
                                                    • Volonté de contribuer dans un environnement axé sur l’équipe
                                                    • -
                                                    • Capacités de leadership démontrées dans des organisations scolaires, civiles ou commerciales
                                                    • -
                                                    • Capacité à travailler de manière créative et analytique dans un environnement de résolution de problèmes
                                                    • -
                                                    • Compétences avérées en communication verbale et écrite en anglais (conférences, présentations, publications, etc.)
                                                    • -
                                                    -

                                                    QUALIFICATIONS PRÉFÉRÉES

                                                    -
                                                      -
                                                    • Doctorat en informatique, ingénierie ou mathématiques
                                                    • -
                                                    • Minimum 3 ans d'expérience en machine learning en Python avec un intérêt pour le Deep Learning
                                                    • -
                                                    • Un historique de développement de logiciels d'IA (Deep Learning Focus) exceptionnel avec des preuves Github (ou similaires)
                                                    • -
                                                    • Compétences démontrées dans la conception de systèmes d’IA
                                                    • -
                                                    • Intérêt démontré pour le Deep Learning appliqué, y compris 1 / stade précoce de préparation des données, augmentation, génération, 2 / réglage systématique du modèle Deep Learning, 3 / modélisation d'expériences de Machine Learning réplicables, 4 / pipeline d'apprentissage profond pour la sélection et la validation de modèles ML.
                                                    • -
                                                    • Expérience de travail avec des langages de programmation tels que C, C ++, Java, des langages de script (Perl / Python / Ruby) ou similaires
                                                    • -
                                                    • Une expertise en apprentissage automatique embarqué (par exemple, quantification du Deep Learning) est un atout majeur
                                                    • -
                                                    • Expérience pratique de la visualisation des données, des outils / langages d'analyse
                                                    • -
                                                    • Travail d’équipe et collaboration démontrés dans des environnements professionnels
                                                    • -
                                                    • Capacité d'établir une crédibilité auprès des clients et des autres membres de l'équipe
                                                    • -
                                                    • Expérience préalable dans un environnement de recherche et technologie ou d'innovation (brevets, conception de systèmes, etc.)
                                                    • -
                                                    • Historique des publications dans les grandes conférences d'Intelligence Artificielle: CVPR, NeurIPS, IJCAI, AAAI, etc.
                                                    • -
                                                    -

                                                    JOB PURPOSE

                                                    -

                                                    A Research and Technology (R&T) Applied Artificial Intelligence (AI) Scientist is responsible for discovering, enabling and integrating innovative AI concepts into Thales solutions. He/she proves their viability through the implementation of Proofs of Concept (PoCs) and guides their maturity growth through prototypes and demonstrators that will in turn illustrate and enable their full business potential.

                                                    -

                                                    KEY JOB FUNCTIONS

                                                    -

                                                    As a Research and Technology Applied AI Scientist, you will drive the key activities throughout our fast-paced projects.

                                                    -

                                                    To be successful in this role, curiosity for what is new, willingness to challenge the status quo, open-mindedness and out-of-the-box thinking are crucial. The individual should quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them. He/she also needs to be able to come up with new ideas, present them, challenge them and improve them continuously. The individual must possess deep, hands-on technical skills and be familiar with latest Deep Learning development tools and environments, with a strong focus on Computer Vision applications, in order to contribute to the implementation of those ideas.

                                                    -

                                                    Coming up with innovative concepts and implementing them is rarely an individualistic process. The scientist is part of a multi-disciplinary team. Strong team spirit and teamwork capabilities are mandatory. He/she will contribute as a technical subject matter expert to Research and Technology projects across Thales and its business units. Therefore, good communication skills are required.

                                                    -

                                                    ESSENTIAL SKILLS AND QUALIFICATIONS

                                                    -
                                                      -
                                                    • PhD/Masters degree in computer science, engineering or mathematics fields
                                                    • -
                                                    • Prior experience in artificial intelligence, machine learning
                                                    • -
                                                    • Minimum 3 years of machine learning experience in Python with interest in Deep Learning
                                                    • -
                                                    • A track record of outstanding AI (Deep Learning focus) software development with Github (or similar) evidence
                                                    • -
                                                    • Demonstrated abilities in designing AI systems
                                                    • -
                                                    • Demonstrated interest in applied Deep Learning, including 1/ early stage of data preparation, augmentation, generation, 2/ systematic Deep Learning model tuning, 3/ replicable Machine Learning experiments modeling, 4/ Deep Learning pipeline for ML model selection and validation.
                                                    • -
                                                    • Work experience with programming languages such as C, C++, Java, scripting languages (Perl/Python/Ruby) or similar
                                                    • -
                                                    • Expertise in Embedded Machine Learning (e.g., Deep Learning quantization) is a strong plus
                                                    • -
                                                    • Good foundation in mathematics, statistics and probability
                                                    • -
                                                    • Strong knowledge of Machine Learning foundations with a focus on Computer Vision applications
                                                    • -
                                                    • Knowledge of mainstream Deep Learning architectures (MLP, CNN, UNET, etc) and Deep Generative Learning architectures (GAN, VAE) for computer vision tasks.
                                                    • -
                                                    • Strong development skills with Machine Learning frameworks such as Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                    • -
                                                    • Strong Python programming skills
                                                    • -
                                                    • Working knowledge of Linux OS
                                                    • -
                                                    • Eagerness to contribute in a team-oriented environment
                                                    • -
                                                    • Demonstrated leadership abilities in school, civil or business organisations
                                                    • -
                                                    • Ability to work creatively and analytically in a problem-solving environment
                                                    • -
                                                    • Proven verbal and written communication skills in English (talks, presentations, publications, etc.)
                                                    • -
                                                    -

                                                    Chez Thales, nous proposons des CARRIÈRES passionnantes, pas de simples emplois. Fort de ses 80 000 collaborateurs dans 68 pays, Thales a mis en place une politique de mobilité permettant, chaque année, à des milliers d'employés de faire progresser leur carrière tant dans leur domaine d’expertise que dans de nouveaux domaines de compétences, cela aussi bien dans leur pays d’origine qu’à l'étranger. Ensemble, nous pensons qu’adopter une politique de flexibilité est une manière plus actuelle de travailler. C’est ici que commence votre parcours exceptionnel, postulez sans tarder!

                                                    -

                                                    At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

                                                    -

                                                    Thales s’engage à promouvoir un lieu de travail diversifié et inclusif pour tous. Thales s’engage à fournir des accommodements à toute les étapes du processus de recrutement. Les candidats retenus pour une entrevue qui ont besoin d’accommodement sont priés d’en informer à la suite de l’invitation pour une entrevue. Nous travaillerons avec vous pour répondre à vos besoins. Toutes les informations relatives à l'accommodement fourni seront traitées de manière confidentielle et utilisées uniquement dans le but de fournir une expérience de candidat accessible.

                                                    -

                                                    Thales is committed to a diverse and inclusive workplace for all. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                    ",,https://jobs.thalesgroup.com/job/montreal/applied-deep-learning-scientist-focus-on-computer-vision/1766/18635684,aimasters@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-06-30T20:52:50.180Z,False,0,5,68,https://talenthub.vectorinstitute.ai/jobs/65356828-applied-deep-learning-scientist-focus-on-computer-vision-at-thales,,expired,2021-05-31T20:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -11edcd03-6891-4056-9042-e8dbd85df67c,65722013,Sunnybrook Research Institute,Medventions / Medical Technology Innovation Intern,on_site,"Toronto, ON, Canada",2021-06-02T18:14:03.335Z,"

                                                    Medventions Internship Program

                                                    -

                                                    Fall 2021 Recruitment (September - December)

                                                    -

                                                    Overview

                                                    -

                                                    The Medventions Internship Program is a fast-paced, project-based training structure for students and recent graduates with a passion for entrepreneurship and a commitment to improving health care for patients around the world through technology innovation and commercialization.

                                                    -

                                                    Over four months, multidisciplinary teams of aspiring medtech entrepreneurs work closely with academic and industry advisors to identify and validate clinical needs, develop and prototype new health technology solutions, and become well-positioned to plan for their commercialization and implementation into patient care.

                                                    -

                                                    The physician-led internships are designed to provide participants with an immersive, hands-on training experience to understanding rules of the road of medtech innovation. Participants will become familiar with the fundamental aspects from developing an idea to commercial success, gaining knowledge of the role of intellectual property management, regulatory pathways, reimbursement mechanisms, funding models and business strategy in the successful commercialization of new medical device technologies.

                                                    -

                                                    Internships are considered a jump-start for clinicians, engineers, researchers and business graduates who are interested in pursuing a career in medical technology entrepreneurship. Participants can apply their talent to build their own medtech start-ups, lead translational research projects and become savvy experts in various aspects of the medtech innovation process.

                                                    -

                                                    Position Summary

                                                    -

                                                    The Medventions Program currently has several openings for a temporary full-time Medventions intern. Successful candidates will work in a team setting and will be assigned a strategic focus in a medical practice area, which will guide the innovation process and chart the path and itinerary for the internship. The strategic focus of the fall 2021 program will be in the areas of image-guided musculoskeletal interventions and the utilization of artificial intelligence and big data in the fields of orthopaedic surgery and bone and joint care.

                                                    -

                                                    Position Responsibilities & Essential Functions:

                                                    -

                                                    The configuration of the Medventions Internship Program allows interns to get involved in clinical immersion, identification and verification of clinical problems, ideation, and the making of an early proof of concept or a prototype for a new medical device. The four-month internship is divided into three main phases with the following structure:

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Diversity-Analytics---Insights_R210002048-1,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-09T18:02:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/55454028-analyst-diversity-analytics-insights-at-bmo-financial-group,,expired,2021-03-22T15:23:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +37d4d09e-52c5-4723-a343-2c19225b1e4c,55454042,Loblaw Companies Ltd.,"Sr. Data Engineering Analyst, Data Acquisition",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-03-22T15:27:08.182Z,"
                                                    +
                                                    +
                                                    +

                                                    Referred applicants should not apply directly to this role.

                                                    +

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    +

                                                    +

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Why is this role important?

                                                    +

                                                    The Data & Analytics team at Loblaw is hiring a Data Acquisition Sr. Analyst with experience in acquiring and developing data assets and data monetization. Reporting to the Sr. Manager, Data Acquisition, as part of Data, Insight & Analytics team, the incumbent will be responsible for executing the company’s data acquisition strategy. Data acquisition is a critical enterprise function and we are building a world class team that will help to transform the company.

                                                    The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                    What You'll Do

                                                    +
                                                      +
                                                    • Responsible for executing the technical strategy within data acquisition
                                                    • +
                                                    • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                    • +
                                                    • Test external data assets to ensure they meet the needs of internal stakeholders
                                                    • +
                                                    • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                    • +
                                                    • Create the proper controls and documentation to ensure compliance and ethical use of the acquired content
                                                    • +
                                                    • Data Privacy compliance
                                                    • +
                                                    • Ongoing relationship management of strategic third party acquired accounts
                                                    • +
                                                    • Subject matter expertise to data vendor landscape and data valuation.
                                                    • +
                                                    • Collaborate with the Legal organization to ensure proper usage
                                                    • +
                                                    • Support the day-to-day needs of business customers including the analytic organization
                                                    • +
                                                    • Managing projects from the starting point to the final execution
                                                    • +
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • +
                                                    +

                                                    What You'll Bring

                                                    +
                                                      +
                                                    • University degree in a business, data, programming, or analytic field of study (e.g. Math, Computer Science, Software Engineering, Business, Economics, Media, Finance)
                                                    • +
                                                    • 3+ years of experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                    • +
                                                    • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                    • +
                                                    • Data programming experience (SQL, python, APIs)
                                                    • +
                                                    • Experience with scheduling tools (cron, Airflow)
                                                    • +
                                                    • Linux experience
                                                    • +
                                                    • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                    • +
                                                    • Strong Communication and interpersonal skills
                                                    • +
                                                    • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of collaboration
                                                    • +
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • +
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • +
                                                    • Strong detail orientation is essential in this role
                                                    • +
                                                    • A Team player and self-starter
                                                    • +
                                                    +

                                                    What You Can Expect

                                                    We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    Other Perks Of Joining Loblaw

                                                    +
                                                      +
                                                    • Competitive compensation and benefits package
                                                    • +
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • +
                                                    • A flexible work environment which values balance
                                                    • +
                                                    • Colleague Discount Program
                                                    • +
                                                    • Tuition reimbursement Program
                                                    • +
                                                    • Employee Share Ownership plan
                                                    • +
                                                    • Pension Plan
                                                    • +
                                                    +

                                                    +

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    +

                                                    +

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    +

                                                    +

                                                    +

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-03-29T15:32:05.191Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/55454042-sr-data-engineering-analyst-data-acquisition-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,expired,2021-03-22T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +75299ba3-1337-4bd8-aaea-5fefcb142472,55454047,KPMG,"Manager/Senior Manager, Information, Data and Analytics",on_site,"Toronto, ON, Canada",2021-03-22T15:27:59.264Z,"

                                                    Job Description

                                                    +

                                                    Overview

                                                    +

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    +

                                                    +

                                                    When you join KPMG, you’ll be one of over 219,000 professionals providing audit, tax, advisory and business enablement services across 147 countries.

                                                    +

                                                    +

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    +

                                                    +

                                                    The opportunity:

                                                    +

                                                    +

                                                    KPMG’s Management Consulting practice helps organizations leverage change. The Information, Data and Analytics team helps organizations leverage their data and information for competitive benefits and advantages by developing and optimizing their data governance, data management and data analytics programs and services, helping them transform their organization by leveraging emerging technologies.

                                                    The Information, Data and Analytics team is part of the Technology Strategy and Digital Transformation Service Line, which works with various organizations, both private and public. This multidisciplinary and multilingual team includes individuals with training and skills in information management, data management, metadata management, data engineering, analytics, data science, process re-engineering and architecture. We help our clients to digitally transform their business.

                                                    +

                                                    +

                                                    We are looking to fill Manager and Senior Manager positions, in various locations across Canada, though you will be asked to work on projects outside your local office. We are a dynamic and innovative team and equally passionate about what we do and the quality of services we provide to our clients.

                                                    +


                                                    What you will do

                                                    +

                                                    The successful candidate will lead various projects in data management, information management, data/information governance, information process and flow mapping, data optimization, data classification, development and implementation of master data or metadata management programs, and/or multidisciplinary team participating in digital transformation projects.

                                                    +

                                                    +

                                                    The successful candidate will have a range of responsibilities, including:

                                                      -
                                                    • Phase 1: Clinical needs identification, verification and assessment
                                                    • -
                                                    • Phase 2: Ideation and brainstorming
                                                    • -
                                                    • Phase 3: Concept development, product design and prototyping
                                                    • +
                                                    • Identifying and leading the preparation of proposals, in collaboration with the Partner
                                                    • +
                                                    • Planning and managing engagements under the leadership of the Partner
                                                    • +
                                                    • Building relationships with clients and their teams
                                                    • +
                                                    • Leading client meetings and supporting the team in developing presentation materials for project kick-off meetings, requirements gathering, project management, presentation of results, etc.
                                                    • +
                                                    • Leading current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks.
                                                    • +
                                                    • Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling.
                                                    • +
                                                    • Supporting and guiding clients in implementing recommendations.
                                                    • +
                                                    • Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc.
                                                    • +
                                                    • Delivering high-quality work on time that meets the Firm’s quality standards and client expectations.
                                                    • +
                                                    • Working with cross-functional teams with people of diverse backgrounds and skill sets.
                                                    • +
                                                    • Applying best practice and process maturity knowledge observed in client engagements and personal research.
                                                    -

                                                    Generally, interns are required to:

                                                    +

                                                    +

                                                    It is highly probable that the incumbent will be required to travel within Canada as part of his/her duties. At times, business needs arise, and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need time to devote to personal matters, and our approach to flexibility provides for this.

                                                    +


                                                    What you bring to the role

                                                      -
                                                    • If circumstances allow, perform on-site or remote clinical observations, perform qualitative research, and conduct interviews with clinicians, researchers, scientists and key opinion leaders in the field;
                                                    • -
                                                    • identify and document clinical challenges that impose a significant clinical burden;
                                                    • -
                                                    • complete thorough analysis for the identified problems; this includes a stakeholder and market analysis, and a study for the disease state fundamentals and treatment options. Interns will also research and consult with faculty and perform literature and patent searches;
                                                    • -
                                                    • develop a medical solution concept that addresses the clinical need and problem identified;
                                                    • -
                                                    • translate the final concept into a prototype — the goal is to use prototyping to create design requirements and generate high-level specifications related to technical feasibility for the innovation under consideration.
                                                    • +
                                                    • 6+ years of relevant professional experience in data management, information management, analytics and/or data engineering
                                                    • +
                                                    • Experience classifying, defining or profiling data.
                                                    • +
                                                    • Strong understanding of data and business processes.
                                                    • +
                                                    • Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM.
                                                    • +
                                                    • Experience and/or certification with Data and Information Platforms such as Microsoft O365, Azure, AWS, Snowflake etc.
                                                    • +
                                                    • Professional experience in the financial or insurance industry, an asset.
                                                    • +
                                                    • Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset.
                                                    • +
                                                    • Knowledge and experience with various governance or data management tools (Collibra, Informatica, IGC, etc.), an asset.
                                                    • +
                                                    • Any data and/or information certifications are of benefit and should be identified.
                                                    • +
                                                    • University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related field
                                                    -

                                                    Important Notice: COVID-19 and Sunnybrook Medventions

                                                    -

                                                    With threats of resurgence and possible future waves of COVID-19, the research and clinical environments at Sunnybrook Health Sciences Centre are continuously changing with possibilities to limit on-site research activities to critical COVID-19 related research or other time-sensitive critical projects and clinical work. As such, the recruitment decisions and nature of the internship program including access to the clinical environment and the ability to conduct direct observations will be contingent upon the Sunnybrook Research Institute policies in place and level of concern at the time of the internship.

                                                    -

                                                    Skills and Qualifications

                                                    -

                                                    The ideal candidate is an individual with a strong entrepreneurial drive, passion for health care innovation and a desire to build something with a strong positive impact, and demonstrated potential for creativity, invention, leadership and business development. We believe the following qualifications will help interns become successful:

                                                    +

                                                    Keys to your success:

                                                    +
                                                      +
                                                    • Ability to work independently with minimal supervision as well as work effectively within a multi-disciplinary team.
                                                    • +
                                                    • Superior verbal and written interpersonal communication skill.
                                                    • +
                                                    • Excellent client service skills.
                                                    • +
                                                    • Well organized with good prioritization/workload management abilities.
                                                    • +
                                                    • Professional discipline and importance of outstanding work.
                                                    • +
                                                    • Commitment to self-learning and continuous skill and professional knowledge development.
                                                    • +
                                                    • Professional curiosity.
                                                    • +
                                                    +

                                                    Learn more about where a career at KPMG can take you.

                                                    +


                                                    Our Values, The KPMG Way

                                                    ",,https://careers.kpmg.ca/professionals/jobs/7452?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-04-21T15:28:00.752Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/55454047-manager-senior-manager-information-data-and-analytics-at-kpmg,,expired,2021-03-22T15:27:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, +932bfc0e-b1c6-4a68-b6cb-747f065c2d5d,55454509,Borealis AI,Product Manager,on_site,Toronto,2021-03-22T15:39:43.349Z,"

                                                    What's the opportunity?

                                                    As a member of the Product Management team, you’ll get a chance to build innovative AI products for the financial industry and beyond through a deep understanding of our AI capabilities applied to real-world scenarios. You’ll be responsible for turning research into full-fledged products and will work closely with the business development, engineering, and research teams to deeply understand the problem space and define compelling products.

                                                    +

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

                                                    Your responsibilities include:

                                                    • Defining both short and long-term product strategy and roadmaps;
                                                    • Defining and delivering MVPs based on research, then scaling this out into full-fledged products;
                                                    • Writing detailed functional specs so the team is aligned on what we are delivering and what success looks like;
                                                    • Developing epics and user stories and prioritizing the product backlog with the engineering team;
                                                    • Collaborating across research, engineering and business development teams to scope and deliver world-class AI products;
                                                    • Guiding ideas from concept-to-experimentation-to-product.
                                                    • +

                                                    You're our ideal candidate if you:

                                                    • Have a technical degree (CS/Engineering);
                                                    • Are continually curious and empathetic about customers and are driven to build great products for them;
                                                    • Are excited about digging into technical details;
                                                    • Are analytical in your problem-solving approach;
                                                    • Have a track record of thorough delivery;
                                                    • Can wade through ambiguity to define clear objectives for a product;
                                                    • Are great at collaborating across a spectrum of stakeholders, from business partners to researchers to engineers;
                                                    • Have enthusiasm for learning about machine learning and AI (Bonus points if you have worked in this area).
                                                    • +

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • +

                                                    How to apply:

                                                    Please email your resume and cover letter to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-04-21T16:13:00.000Z,False,1,0,30,https://talenthub.vectorinstitute.ai/jobs/55454509-product-manager-at-borealis-ai,,expired,2021-03-22T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Manager,Bachelors Degree,Re-Posting an Expired Job, +3d9206dd-c7f5-454b-83b2-933269196889,55461406,CIBC,Sr. Data Scientist,on_site,"Toronto, ON, Canada",2021-03-22T20:38:01.905Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    +

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    +

                                                    +

                                                    To learn more about CIBC, please visit CIBC.com

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    +

                                                    What You’ll Be Doing

                                                    +

                                                    +

                                                    The Data & Analytics team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                    +

                                                    You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                    +

                                                    +

                                                    How You’ll Succeed

                                                    +

                                                    • -Entrepreneurial mindset — action and detail oriented, analytical, sees problems as opportunities, comfortable with ambiguity, self-learner with strong business acumen
                                                    • -
                                                    • -Leadership and determination — ability to turn ideas into action; creativity, innovation and risk-taking, as well as the ability and determination to plan and manage projects independently beyond the four-month training block
                                                    • -
                                                    • -Teamwork — Proven ability to work effectively as part of a multidisciplinary team including skills in imparting or exchanging information with others
                                                    • +Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.
                                                    • -Problem-solving skills — Demonstrated excellence in finding solutions to difficult or complex problems, decision making, communication and critical thinking
                                                    • +Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.
                                                    • -Motivation and interest — Strong interest in innovation and change across health care, design thinking, entrepreneurship and business modelling
                                                    • -
                                                    • Proven excellent interpersonal skills and effective oral/written communication skills
                                                    • -
                                                    • Background/experience in medicine, engineering and/or business is an asset
                                                    • -
                                                    • Given the big data and AI focus of the fall 2021 internship program, candidates with skills in data science, data analytics, machine learning, software engineering and artificial intelligence are encouraged to apply
                                                    • +Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.
                                                    -

                                                    N.B. Graduate students who are seeking a research internship or practicum as part of their academic program are encouraged to apply. Please list your program requirements in your cover letter.

                                                    ",ahmed.nasef@sunnybrook.ca,,ahmed.nasef@sunnybrook.ca,https://sunnybrook.ca/research/,,,2021-07-02T20:00:00.000Z,False,3,0,123,https://talenthub.vectorinstitute.ai/jobs/65722013-medventions-medical-technology-innovation-intern-at-sunnybrook-research-institute,,expired,2021-06-02T18:14:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Health,Internship/Co-op,Bachelors Degree,New Posting, -da098f96-fe1e-4aa9-a665-5e8eea8efb7d,65356828,Thales,APPLIED DEEP LEARNING SCIENTIST (FOCUS ON COMPUTER VISION),temporary,"Montréal, QC, Canada",2021-05-31T20:52:45.614Z,"

                                                    Location: Montreal, Quebec, Canada
                                                    Regular Employment, Full time

                                                    Location: Montreal, Canada

                                                    -

                                                    Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

                                                    -

                                                    Carrefour mondial de l’intelligence artificielle, Montréal est le foyer du nouveau centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx) collaborant avec les principaux groupes canadiens de recherche en intelligence artificielle à Montréal et à Toronto. S’appuyant sur ses compétences dans les principaux marchés industriels, Thales donne vie à l'intelligence artificielle au profit de ses clients tout en créant de passionnants emplois pour les chercheurs et les développeurs experts en intelligence artificielle en vue de trouver des solutions qui transformeront notre monde, du fond des océans aux confins de l'univers et du cyberespace. Ayant très tôt opté pour le modèle d’innovation ouverte et collaborative, Thales procède actuellement à la création de la structure du centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx). Piloté par Thales, le centre cortAIx, en collaboration avec l'Institut québécois d'intelligence artificielle (MILA), l'Institut de valorisation des données (IVADO) et l’Institut Vector de Toronto, est situé dans le célèbre quartier Petite-Italie, au cœur de la communauté de l’innovation à Montréal.

                                                    -

                                                    In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

                                                    -

                                                    Montreal – a world leading AI hub, is home to new Centre of Research & Technology in Artificial Intelligence eXpertise (cortAIx) collaborating with leading Canadian AI research groups in Montreal and Toronto. With competencies in major industrial markets Thales is bringing artificial intelligence to life for our customers creating exciting jobs for AI researchers and developers who will create solutions that will transform our world from the bottom of oceans to the depths of space and cyberspace. As an early adopter of open, creative and collaborative innovation model, Thales is building the Centre of Research and Technology in Artificial Intelligence eXpertise (cortAIx). Led by Thales, cortAIx, in collaboration with the MILA (Artificial Intelligence Institute of Quebec), the IVADO (Institute of Data Valorization) and the Vector Institute of Toronto, is located in Montreal’s famous Little Italy, in the heart of Montreal’s innovation community.

                                                    -

                                                    RAISON D’ÊTRE:

                                                    -

                                                    Un chercheur en intelligence artificielle (IA) appliquée en recherche et technologie (R&T) est chargé de découvrir, d'activer et d'intégrer des concepts d'IA innovants dans les solutions Thales. Il / elle prouve leur viabilité à travers la mise en œuvre de Proofs of Concept (PoC) et guide leur croissance de maturité à travers des prototypes et des démonstrateurs qui à leur tour illustreront et permettront leur plein potentiel commercial.

                                                    -

                                                    MISSIONS PRINCIPALES

                                                    -

                                                    En tant que chercheur en IA appliquée à la recherche et à la technologie, vous dirigerez les activités clés tout au long de nos projets au rythme rapide.

                                                    -

                                                    Pour réussir dans ce rôle, la curiosité pour ce qui est nouveau, la volonté de remettre en question le statu quo, l'ouverture d'esprit et la pensée originale sont essentielles. L'individu doit rapidement apprendre et évaluer les nouvelles techniques et technologies afin de décider de les adopter, de les adapter ou de les abandonner. Il doit également être capable de proposer de nouvelles idées, de les présenter, de les remettre en question et de les améliorer continuellement. L'individu doit posséder des compétences techniques approfondies et pratiques et être familiarisé avec les derniers outils et environnements de développement Deep Learning, avec un fort accent sur les applications de vision par ordinateur, afin de contribuer à la mise en œuvre de ces idées.

                                                    -

                                                    Proposer des concepts innovants et les mettre en œuvre est rarement un processus individualiste. Le scientifique fait partie d'une équipe multidisciplinaire. Un fort esprit d'équipe et des capacités de travail d'équipe sont obligatoires. Il / elle contribuera en tant qu'expert technique à des projets de Recherche et Technologie au sein de Thales et de ses business units. Par conséquent, de bonnes compétences en communication sont nécessaires.

                                                    -

                                                    EXIGENCES

                                                    +

                                                    +

                                                    Who You Are

                                                    +

                                                      -
                                                    • Maîtrise en informatique, ingénierie ou mathématiques
                                                    • -
                                                    • Expérience préalable en intelligence artificielle, apprentissage automatique
                                                    • -
                                                    • Compétences démontrées dans la conception de systèmes d’IA
                                                    • -
                                                    • Bonne base en mathématiques, statistiques et probabilités
                                                    • -
                                                    • Solide connaissance des fondations de l'apprentissage automatique avec un accent sur les applications de vision par ordinateur
                                                    • -
                                                    • Connaissance des architectures traditionnelles d'apprentissage profond (MLP, CNN, UNET, etc.) et des architectures d'apprentissage génératif profond (GAN, VAE) pour les tâches de vision par ordinateur.
                                                    • -
                                                    • Solides compétences en développement avec des frameworks d'apprentissage automatique tels que Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                    • -
                                                    • Solides compétences en programmation Python
                                                    • -
                                                    • Connaissance pratique du système d'exploitation Linux
                                                    • -
                                                    • Volonté de contribuer dans un environnement axé sur l’équipe
                                                    • -
                                                    • Capacités de leadership démontrées dans des organisations scolaires, civiles ou commerciales
                                                    • -
                                                    • Capacité à travailler de manière créative et analytique dans un environnement de résolution de problèmes
                                                    • -
                                                    • Compétences avérées en communication verbale et écrite en anglais (conférences, présentations, publications, etc.)
                                                    • +
                                                    • +You have an advanced degree in a scientific or quantitative field
                                                    • +
                                                    • +You have minimum of 3 year experience in industry or research
                                                    • +
                                                    • +You enjoy the challenge of leading engagements and coaching junior team members
                                                    • +
                                                    • +You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.
                                                    • +
                                                    • +You have strong communication skills and an ability to present complex concepts clearly.
                                                    • +
                                                    • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
                                                    • +
                                                    • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • +
                                                    • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                    • +
                                                    • +You have extensive knowledge of:
                                                        +
                                                      • Programming in Python
                                                      • +
                                                      • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)
                                                      • +
                                                      • Writing queries in SQL and working with data warehouses including Hive and Impala
                                                      • +
                                                      • ML/AI Frameworks (Tensorflow, Pytorch)
                                                      • +
                                                      • Software development and testing
                                                      -

                                                      QUALIFICATIONS PRÉFÉRÉES

                                                      -
                                                        -
                                                      • Doctorat en informatique, ingénierie ou mathématiques
                                                      • -
                                                      • Minimum 3 ans d'expérience en machine learning en Python avec un intérêt pour le Deep Learning
                                                      • -
                                                      • Un historique de développement de logiciels d'IA (Deep Learning Focus) exceptionnel avec des preuves Github (ou similaires)
                                                      • -
                                                      • Compétences démontrées dans la conception de systèmes d’IA
                                                      • -
                                                      • Intérêt démontré pour le Deep Learning appliqué, y compris 1 / stade précoce de préparation des données, augmentation, génération, 2 / réglage systématique du modèle Deep Learning, 3 / modélisation d'expériences de Machine Learning réplicables, 4 / pipeline d'apprentissage profond pour la sélection et la validation de modèles ML.
                                                      • -
                                                      • Expérience de travail avec des langages de programmation tels que C, C ++, Java, des langages de script (Perl / Python / Ruby) ou similaires
                                                      • -
                                                      • Une expertise en apprentissage automatique embarqué (par exemple, quantification du Deep Learning) est un atout majeur
                                                      • -
                                                      • Expérience pratique de la visualisation des données, des outils / langages d'analyse
                                                      • -
                                                      • Travail d’équipe et collaboration démontrés dans des environnements professionnels
                                                      • -
                                                      • Capacité d'établir une crédibilité auprès des clients et des autres membres de l'équipe
                                                      • -
                                                      • Expérience préalable dans un environnement de recherche et technologie ou d'innovation (brevets, conception de systèmes, etc.)
                                                      • -
                                                      • Historique des publications dans les grandes conférences d'Intelligence Artificielle: CVPR, NeurIPS, IJCAI, AAAI, etc.
                                                      • + +
                                                      • +Also beneficial:
                                                          +
                                                        • Knowledge of data visualization tools such as Tableau
                                                        • +
                                                        • Knowledge of NLP and associated toolkits (nltk, spaCy)
                                                        • +
                                                        • Understanding of Docker and Kubernetes
                                                        • +
                                                        • Exposure to big data frameworks (PySpark, SparkML)
                                                        • +
                                                        • Use of Flask to create APIs
                                                        • +
                                                        • Familiarity with Linux command line
                                                        • +
                                                        • Exposure Microsoft Azure cloud platform
                                                        -

                                                        JOB PURPOSE

                                                        -

                                                        A Research and Technology (R&T) Applied Artificial Intelligence (AI) Scientist is responsible for discovering, enabling and integrating innovative AI concepts into Thales solutions. He/she proves their viability through the implementation of Proofs of Concept (PoCs) and guides their maturity growth through prototypes and demonstrators that will in turn illustrate and enable their full business potential.

                                                        -

                                                        KEY JOB FUNCTIONS

                                                        -

                                                        As a Research and Technology Applied AI Scientist, you will drive the key activities throughout our fast-paced projects.

                                                        -

                                                        To be successful in this role, curiosity for what is new, willingness to challenge the status quo, open-mindedness and out-of-the-box thinking are crucial. The individual should quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them. He/she also needs to be able to come up with new ideas, present them, challenge them and improve them continuously. The individual must possess deep, hands-on technical skills and be familiar with latest Deep Learning development tools and environments, with a strong focus on Computer Vision applications, in order to contribute to the implementation of those ideas.

                                                        -

                                                        Coming up with innovative concepts and implementing them is rarely an individualistic process. The scientist is part of a multi-disciplinary team. Strong team spirit and teamwork capabilities are mandatory. He/she will contribute as a technical subject matter expert to Research and Technology projects across Thales and its business units. Therefore, good communication skills are required.

                                                        -

                                                        ESSENTIAL SKILLS AND QUALIFICATIONS

                                                        -
                                                          -
                                                        • PhD/Masters degree in computer science, engineering or mathematics fields
                                                        • -
                                                        • Prior experience in artificial intelligence, machine learning
                                                        • -
                                                        • Minimum 3 years of machine learning experience in Python with interest in Deep Learning
                                                        • -
                                                        • A track record of outstanding AI (Deep Learning focus) software development with Github (or similar) evidence
                                                        • -
                                                        • Demonstrated abilities in designing AI systems
                                                        • -
                                                        • Demonstrated interest in applied Deep Learning, including 1/ early stage of data preparation, augmentation, generation, 2/ systematic Deep Learning model tuning, 3/ replicable Machine Learning experiments modeling, 4/ Deep Learning pipeline for ML model selection and validation.
                                                        • -
                                                        • Work experience with programming languages such as C, C++, Java, scripting languages (Perl/Python/Ruby) or similar
                                                        • -
                                                        • Expertise in Embedded Machine Learning (e.g., Deep Learning quantization) is a strong plus
                                                        • -
                                                        • Good foundation in mathematics, statistics and probability
                                                        • -
                                                        • Strong knowledge of Machine Learning foundations with a focus on Computer Vision applications
                                                        • -
                                                        • Knowledge of mainstream Deep Learning architectures (MLP, CNN, UNET, etc) and Deep Generative Learning architectures (GAN, VAE) for computer vision tasks.
                                                        • -
                                                        • Strong development skills with Machine Learning frameworks such as Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                        • -
                                                        • Strong Python programming skills
                                                        • -
                                                        • Working knowledge of Linux OS
                                                        • -
                                                        • Eagerness to contribute in a team-oriented environment
                                                        • -
                                                        • Demonstrated leadership abilities in school, civil or business organisations
                                                        • -
                                                        • Ability to work creatively and analytically in a problem-solving environment
                                                        • -
                                                        • Proven verbal and written communication skills in English (talks, presentations, publications, etc.)
                                                        • +
                                                        -

                                                        Chez Thales, nous proposons des CARRIÈRES passionnantes, pas de simples emplois. Fort de ses 80 000 collaborateurs dans 68 pays, Thales a mis en place une politique de mobilité permettant, chaque année, à des milliers d'employés de faire progresser leur carrière tant dans leur domaine d’expertise que dans de nouveaux domaines de compétences, cela aussi bien dans leur pays d’origine qu’à l'étranger. Ensemble, nous pensons qu’adopter une politique de flexibilité est une manière plus actuelle de travailler. C’est ici que commence votre parcours exceptionnel, postulez sans tarder!

                                                        -

                                                        At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

                                                        -

                                                        Thales s’engage à promouvoir un lieu de travail diversifié et inclusif pour tous. Thales s’engage à fournir des accommodements à toute les étapes du processus de recrutement. Les candidats retenus pour une entrevue qui ont besoin d’accommodement sont priés d’en informer à la suite de l’invitation pour une entrevue. Nous travaillerons avec vous pour répondre à vos besoins. Toutes les informations relatives à l'accommodement fourni seront traitées de manière confidentielle et utilisées uniquement dans le but de fournir une expérience de candidat accessible.

                                                        -

                                                        Thales is committed to a diverse and inclusive workplace for all. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                        ",,https://jobs.thalesgroup.com/job/montreal/applied-deep-learning-scientist-focus-on-computer-vision/1766/18635684,aimasters@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-06-30T20:52:50.180Z,False,0,5,68,https://talenthub.vectorinstitute.ai/jobs/65356828-applied-deep-learning-scientist-focus-on-computer-vision-at-thales,,expired,2021-05-31T20:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -11edcd03-6891-4056-9042-e8dbd85df67c,65722013,Sunnybrook Research Institute,Medventions / Medical Technology Innovation Intern,on_site,"Toronto, ON, Canada",2021-06-02T18:14:03.335Z,"

                                                        Medventions Internship Program

                                                        -

                                                        Fall 2021 Recruitment (September - December)

                                                        -

                                                        Overview

                                                        -

                                                        The Medventions Internship Program is a fast-paced, project-based training structure for students and recent graduates with a passion for entrepreneurship and a commitment to improving health care for patients around the world through technology innovation and commercialization.

                                                        -

                                                        Over four months, multidisciplinary teams of aspiring medtech entrepreneurs work closely with academic and industry advisors to identify and validate clinical needs, develop and prototype new health technology solutions, and become well-positioned to plan for their commercialization and implementation into patient care.

                                                        -

                                                        The physician-led internships are designed to provide participants with an immersive, hands-on training experience to understanding rules of the road of medtech innovation. Participants will become familiar with the fundamental aspects from developing an idea to commercial success, gaining knowledge of the role of intellectual property management, regulatory pathways, reimbursement mechanisms, funding models and business strategy in the successful commercialization of new medical device technologies.

                                                        -

                                                        Internships are considered a jump-start for clinicians, engineers, researchers and business graduates who are interested in pursuing a career in medical technology entrepreneurship. Participants can apply their talent to build their own medtech start-ups, lead translational research projects and become savvy experts in various aspects of the medtech innovation process.

                                                        -

                                                        Position Summary

                                                        -

                                                        The Medventions Program currently has several openings for a temporary full-time Medventions intern. Successful candidates will work in a team setting and will be assigned a strategic focus in a medical practice area, which will guide the innovation process and chart the path and itinerary for the internship. The strategic focus of the fall 2021 program will be in the areas of image-guided musculoskeletal interventions and the utilization of artificial intelligence and big data in the fields of orthopaedic surgery and bone and joint care.

                                                        -

                                                        Position Responsibilities & Essential Functions:

                                                        -

                                                        The configuration of the Medventions Internship Program allows interns to get involved in clinical immersion, identification and verification of clinical problems, ideation, and the making of an early proof of concept or a prototype for a new medical device. The four-month internship is divided into three main phases with the following structure:

                                                        +

                                                        +

                                                        What CIBC Offers

                                                        +

                                                        +

                                                        At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                          -
                                                        • Phase 1: Clinical needs identification, verification and assessment
                                                        • -
                                                        • Phase 2: Ideation and brainstorming
                                                        • -
                                                        • Phase 3: Concept development, product design and prototyping
                                                        • +
                                                        • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                        • +
                                                        • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                        • +
                                                        • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
                                                        • +
                                                        • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                        -

                                                        Generally, interns are required to:

                                                        +

                                                        +

                                                        What You Need to Know

                                                          -
                                                        • If circumstances allow, perform on-site or remote clinical observations, perform qualitative research, and conduct interviews with clinicians, researchers, scientists and key opinion leaders in the field;
                                                        • -
                                                        • identify and document clinical challenges that impose a significant clinical burden;
                                                        • -
                                                        • complete thorough analysis for the identified problems; this includes a stakeholder and market analysis, and a study for the disease state fundamentals and treatment options. Interns will also research and consult with faculty and perform literature and patent searches;
                                                        • -
                                                        • develop a medical solution concept that addresses the clinical need and problem identified;
                                                        • -
                                                        • translate the final concept into a prototype — the goal is to use prototyping to create design requirements and generate high-level specifications related to technical feasibility for the innovation under consideration.
                                                        • -
                                                        -

                                                        Important Notice: COVID-19 and Sunnybrook Medventions

                                                        -

                                                        With threats of resurgence and possible future waves of COVID-19, the research and clinical environments at Sunnybrook Health Sciences Centre are continuously changing with possibilities to limit on-site research activities to critical COVID-19 related research or other time-sensitive critical projects and clinical work. As such, the recruitment decisions and nature of the internship program including access to the clinical environment and the ability to conduct direct observations will be contingent upon the Sunnybrook Research Institute policies in place and level of concern at the time of the internship.

                                                        -

                                                        Skills and Qualifications

                                                        -

                                                        The ideal candidate is an individual with a strong entrepreneurial drive, passion for health care innovation and a desire to build something with a strong positive impact, and demonstrated potential for creativity, invention, leadership and business development. We believe the following qualifications will help interns become successful:

                                                        +
                                                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                      • +
                                                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                      • +
                                                      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Data-Scientist_2105155,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-03-29T17:38:00.000Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/55461406-sr-data-scientist-at-cibc,,expired,2021-03-22T20:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +adc58e10-b22d-4939-9630-516c3328c296,55693450,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Toronto, ON, Canada",2021-03-24T14:26:16.823Z,"

                                                      (This position is open to a varying level of seniority)

                                                      +

                                                      +

                                                      Are you excited about working at the forefront of Information Retrieval and Natural Language Processing and applying state-of-the-art methods to challenging business problems? Thomson Reuters Labs in Toronto is seeking an Applied Research Scientist with a passion for solving problems using state-of-the-art Information Retrieval, Natural Language Processing and Machine Learning techniques.

                                                      +

                                                      +

                                                      What does Thomson Reuters Labs do? We experiment, we build and deliver. We support the organization and our customers through applied research and the development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                      +

                                                      +

                                                      As an Applied Research Scientist, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, Machine Learning and Engineering & Design to drive Thomson Reuters Digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful Artificial Intelligence projects allowing us to expand and advance state-of-the-art to support high growth products that serve Thomson Reuters customers in new and exciting ways.

                                                      +

                                                      +

                                                      About the role

                                                      +

                                                      In this opportunity as an Applied Research Scientist, you will:

                                                      • -Entrepreneurial mindset — action and detail oriented, analytical, sees problems as opportunities, comfortable with ambiguity, self-learner with strong business acumen
                                                      • +Experiment and Develop: You will be involved in the entire model development life cycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.
                                                      • -Leadership and determination — ability to turn ideas into action; creativity, innovation and risk-taking, as well as the ability and determination to plan and manage projects independently beyond the four-month training block
                                                      • +Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
                                                      • -Teamwork — Proven ability to work effectively as part of a multidisciplinary team including skills in imparting or exchanging information with others
                                                      • +Delivery: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope, be accountable for end-to-end deliveries, and deliver solutions against strict timelines.
                                                      • -Problem-solving skills — Demonstrated excellence in finding solutions to difficult or complex problems, decision making, communication and critical thinking
                                                      • +Innovate: Our problems are complex; our solutions are right-sized. You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas and create new solutions to solve real-world challenges.
                                                      • -Motivation and interest — Strong interest in innovation and change across health care, design thinking, entrepreneurship and business modelling
                                                      • -
                                                      • Proven excellent interpersonal skills and effective oral/written communication skills
                                                      • -
                                                      • Background/experience in medicine, engineering and/or business is an asset
                                                      • -
                                                      • Given the big data and AI focus of the fall 2021 internship program, candidates with skills in data science, data analytics, machine learning, software engineering and artificial intelligence are encouraged to apply
                                                      • -
                                                      -

                                                      N.B. Graduate students who are seeking a research internship or practicum as part of their academic program are encouraged to apply. Please list your program requirements in your cover letter.

                                                      ",ahmed.nasef@sunnybrook.ca,,ahmed.nasef@sunnybrook.ca,https://sunnybrook.ca/research/,,,2021-07-02T20:00:00.000Z,False,3,0,123,https://talenthub.vectorinstitute.ai/jobs/65722013-medventions-medical-technology-innovation-intern-at-sunnybrook-research-institute,,expired,2021-06-02T18:14:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Health,Internship/Co-op,Bachelors Degree,New Posting, -6e917763-0546-47a8-b066-3ee0171dc494,66249870,RBC,"Data Analyst, Fall 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-06-04T21:53:06.770Z,"
                                                      -

                                                      What is the opportunity?
                                                      Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                                      -
                                                        -
                                                      • Innovation & Technology
                                                      • -
                                                      • Global Technology Infrastructure
                                                      • -
                                                      • Enterprise Operations Payments
                                                      • -
                                                      -

                                                      -

                                                      What will you do?

                                                      -
                                                        -
                                                      • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                                      • -
                                                      • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                                      • -
                                                      • Confirm that projects adhere to development standards and guidelines
                                                      • -
                                                      • Apply data warehouse concepts and methodologies to various projects
                                                      • -
                                                      -

                                                      -

                                                      What do you need to succeed?

                                                      -

                                                      Must-have

                                                      -
                                                        -
                                                      • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                      • -
                                                      • Leadership acumen and a passion to apply it in a dynamic business environment
                                                      • -
                                                      • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                      • -
                                                      • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                      • -
                                                      • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                      • -
                                                      • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                      • -
                                                      -

                                                      -

                                                      Nice-to-have

                                                      -
                                                        -
                                                      • Prior experience in data integration of disparate data sources
                                                      • -
                                                      • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                      • -
                                                      • Relational database concepts and design experience
                                                      • -
                                                      • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                      • +Inspire: You are a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will lead the way in the adoption of AI across the enterprise.
                                                      -

                                                      -

                                                      What’s in it for you?

                                                      -

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      +

                                                      +

                                                      About you

                                                      +

                                                      Here is our wish list. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

                                                        -
                                                      • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                      • -
                                                      • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                      • -
                                                      • Leaders who support your development through coaching and learning opportunities
                                                      • -
                                                      • Work in a dynamic, collaborative, progressive and highly performing team
                                                      • -
                                                      • Ability to make a difference and lasting impact
                                                      • -
                                                      • Enjoy a comfortable work environment with the option to dress casually
                                                      • +
                                                      • Have a Ph.D. in Computer Science, Engineering, Statistics, Mathematics, or other data-heavy disciplines, or a Masters degree in those fields with 3 years of research or industry experience.
                                                      • +
                                                      • Have deep understanding and experience with Information Retrieval, Natural Language Processing, and/or Machine Learning methods, including Deep Neural Networks.
                                                      • +
                                                      • Are proficient in one or more programming languages (preferably Python, Java, or Scala) and have familiarity working in the Cloud (preferably AWS)
                                                      • +
                                                      • Have experience with open-source libraries such as PyTorch, TensorFlow, spaCy, sci-kit learn, and Lucene.
                                                      • +
                                                      • Have 2 to 8 years of academic or industry experience building IR/NLP/ML systems with the ability to translate cutting edge research into working applications (we are hiring for multiple roles with a varying level of seniority)
                                                      • +
                                                      • Have publications in relevant conferences and workshops (ACL, EMLNP, SIGIR, NeurIPS, KDD, etc.)
                                                      • +
                                                      • Understand and apply agile development best practices
                                                      • +
                                                      • Have experience working in a fast-paced environment to deliver minimum viable products
                                                      • +
                                                      • Are comfortable working with large unstructured datasets and knowledgeable about tools and techniques for processing data at scale
                                                      • +
                                                      • Excel at communication, project management, reproducible research, and data analysis
                                                      • +
                                                      • Demonstrate the ability to translate complex business and customer challenges into research hypotheses and well-structured project plans
                                                      -

                                                      -

                                                      We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is May 31, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                      -

                                                      While there is no one date when our employees will return, we can confirm that the majority of Fall Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                      -

                                                      -

                                                      -

                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: Various
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Career Level: Student Job
                                                      Position Level: PL11
                                                      Application Deadline: 05/31/2021
                                                      Req ID: 354537

                                                      -

                                                      -

                                                      -

                                                      -
                                                      ",,https://jobs.rbc.com/ca/en/job/354537/Data-Analyst-Fall-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-08T21:58:21.535Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/66249870-data-analyst-fall-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/354537/Data-Analyst-Fall-2021-Student-Opportunities,expired,2021-06-04T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -63bcc1f4-a034-46ee-af0c-5cca5fe88672,66987769,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2021-06-08T15:42:04.594Z,"
                                                      -

                                                      Company Overview

                                                      -
                                                      -

                                                      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                      -

                                                      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                      -

                                                      -

                                                      Department Overview

                                                      -
                                                      -

                                                      What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                      -

                                                      We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                      -
                                                      -

                                                      -

                                                      Job Description

                                                      -
                                                      -

                                                      -

                                                      About this Role

                                                      -

                                                      You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                      -

                                                      We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                      -

                                                      -

                                                      As the Manager, Analytics & Insights you will:

                                                      +

                                                      What's in it for you

                                                      +

                                                      At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                        -
                                                      • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                      • -
                                                      • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                      • -
                                                      • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                      • -
                                                      • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                      • -
                                                      • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                      • -
                                                      • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                      • -
                                                      • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                      • -
                                                      • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                      • -
                                                      • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                      • -
                                                      • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                      • -
                                                      • Set operational team direction, working in partnership to execute on common goals
                                                      • -
                                                      • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                      • -
                                                      • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                      • -
                                                      • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                      • -
                                                      • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                      • -
                                                      • Support execution with excellence on key initiatives/programs
                                                      • -
                                                      • Design effective test and learn for various programs or scenarios
                                                      • -
                                                      • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                      • -
                                                      • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                      • -
                                                      • Present insights back to executive leaders / business partners to drive strategic improvement
                                                      • +
                                                      • +Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology
                                                      • +
                                                      • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
                                                      • +
                                                      • +Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans
                                                      • +
                                                      • +Perks: Social events & activities, employee discount programs
                                                      • +
                                                      • +Social Impact: Paid time off for volunteering virtually or in your community
                                                      -

                                                      -

                                                      Requirements

                                                      -
                                                      -What can you bring to TD?

                                                      -

                                                      Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                      -
                                                        -
                                                      • Undergraduate degree or technical certificate
                                                      • -
                                                      • Seven (7) or more years relevant experience
                                                      • -
                                                      -
                                                      +

                                                      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                      -

                                                      Hours

                                                      -
                                                      37.5
                                                      +

                                                      We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                      -

                                                      Inclusiveness

                                                      -

                                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                      +

                                                      Accessibility

                                                      -
                                                      ",,https://jobs.td.com/en-CA/jobs/12981781/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-21T15:47:05.480Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/66987769-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12981781/manager-analytics-insights-toronto-ca/,expired,2021-06-08T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -be6fcd15-1d02-438e-9dc3-eb44ef1e9b3b,67016546,Manulife,"AVP Functions Advanced Analytics, Strategy & Governance",on_site,"Toronto, ON CA",2021-06-08T21:51:15.886Z,"

                                                      Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                      -

                                                      -

                                                      Job Description

                                                      -

                                                      The AVP Functions Advanced Analytics, Strategy & Governance (AVP – Functions AA & Governance) leads a group of teams in applying leading AI/AA technologies in support of Group Functions, governing AI/AA model risk and responsible AI framework, while scaling up AI/AA training. AVP – Functions AA & Governance is a leader in managing AI/AA teams and a well-established professional within the AI/AA community; accountable for implementing Manulife’s AI/AA model risk framework and responsible AI framework; while also leading the AI/AA Academy for Executives and broader training initiatives; he/she is a connector who partners closely with CAO leadership in developing business plans in support of the corporate AI/AA Strategies.

                                                      +

                                                      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                      -

                                                      -

                                                      Key Accountabilities:

                                                      -
                                                        -
                                                      • Lead and inspire teams of Data Scientists and Data Engineers by pushing the boundaries of AI/AA applications in support Manulife’s Group Functions. The levels of team members are from J (associate data scientist) to M (Lead Data Scientist)
                                                      • -
                                                      • Advises and influences Group Functions Executive leadership teams at different levels with leading AI/AA applications and trends, identifying new opportunities to develop solutions while tackling business problems
                                                      • -
                                                      • Lead the AI/AA model validation unit to implement the AI/AA Model Risk Framework. Develop Responsible AI framework
                                                      • -
                                                      • Lead the AI/AA Academy for Executives and broader training initiatives
                                                      • -
                                                      • Lead the engagement with academic research institutions and universities
                                                      • -
                                                      • Coordinate internal AI/AA knowledge sharing sessions, e.g. Monthly Best Practices, and research workshops with internal and external speakers on selected topics. Actively bridging the gap between the external leading research advances and internal practices
                                                      • -
                                                      • Actively engage with AI/AA communities and represent Manulife/John Hancock in AI/AA discussions externally
                                                      • -
                                                      • Consistently sees overall picture and alternative approaches; vision of what may be possible
                                                      • -
                                                      • Builds support and collaboration by communicating the significant impacts of a decision and sharing a vision of achieving the most favorable outcome
                                                      • -
                                                      • Maintains a strong internal network at all levels of the organization. Actively champions a diverse external network of industry/analytics thought leaders
                                                      • -
                                                      • Ability to attract outstanding talent to the organization
                                                      • -
                                                      • Influences AI/AA and business strategy by contributing ideas that solve meaningful business problems
                                                      • -
                                                      • Seen as a thought leader throughout the business. Actively listens to others and ensures all voices are heard
                                                      • -
                                                      • Actively seeks out coaching opportunities and incorporates feedback into their work
                                                      • -
                                                      • Provides guidance and mentorship to Directors and Data Scientists
                                                      • -
                                                      • Promotes best practices within the team, and shares technical expertise with others
                                                      • -
                                                      • Incorporates lessons learned throughout the business into their work
                                                      • -
                                                      -

                                                      -

                                                      Key Shared Accountabilities:

                                                      -
                                                        -
                                                      • Connect closely with executives in Group Functions and collaborate with business teams to develop project opportunities and deliver business solutions
                                                      • -
                                                      • Partner with CAO, Segment AI/AA leaderships and Enterprise Model Risk Management to develop and deliver AI/AA governance and training
                                                      • -
                                                      -

                                                      -

                                                      Job Requirements:

                                                      -
                                                        -
                                                      • Advanced degree in Statistics, Math, Computer Science, Actuary or Engineering; PhD is preferred.
                                                      • -
                                                      • A track of record in leading AI/AA implementation or other analytical solutions in Finance, Risk or Compliance
                                                      • -
                                                      • Comprehensive understanding and experiences in model governance
                                                      • -
                                                      • Generally, a minimum of 10 years of applicable experience in quantitative analyses
                                                      • -
                                                      • A track of record of dynamic leadership experience in leading AI/AA teams
                                                      • -
                                                      • An established expert in AI/AA fields
                                                      • -
                                                      • Advanced knowledge of programming languages and concepts (e.g. Python, R or SAS)
                                                      • -
                                                      • Specialist in different techniques and knowledge of machine learning algorithms
                                                      • -
                                                      • Advanced knowledge of common database querying languages such as SQL; Capability of applying a detailed, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights
                                                      • -
                                                      • Strong ability to identify key Advanced Analytics opportunities in business and deliver results
                                                      • -
                                                      • Strong ability to initiate and carry research discussions with academic research communities, convey Manulife’s interest in research agenda and gaining knowledge and collaboration for Manulife’s business
                                                      • -
                                                      • Continuous learning
                                                      • -
                                                      • Actively monitor new technologies
                                                      • -
                                                      -

                                                      -

                                                      Decision Authorities:

                                                      -
                                                        -
                                                      • Define AI/AA for Functions strategy and plan according to the overall AI/AA Strategy and roadmap, and deliver results
                                                      • -
                                                      • Define responsibilities for teams under his/her supervision.
                                                      • -
                                                      • Hiring decisions for levels from J to M for both technical and managerial roles
                                                      • -
                                                      • Works on significant and unique challenges in AI/AA fields that hold strategic value to advance Manulife’s business
                                                      • -
                                                      • Strong ability to influence leaders and teams in both AI/AA function and business units
                                                      • -
                                                      -

                                                      -

                                                      -

                                                      -


                                                      If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                      -


                                                      About Manulife

                                                      -

                                                      Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of December 31, 2020, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                      -

                                                      Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                      ",,https://jobs.manulife.com/ShowJob/JobId/1146008/AVPFunctionsAdvancedAnalyticsStrategyGovernance,feed-importer@jobboard.io,,,,2021-06-14T21:56:09.070Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/67016546-avp-functions-advanced-analytics-strategy-governance-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1146008/AVPFunctionsAdvancedAnalyticsStrategyGovernance,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Executive,PhD,New Posting, -bfb6772a-3ad3-40a8-b332-50017650bf37,67016551,Scotiabank,"GAFE Analyst, Financial Engineer Fall 2021 Co-op",on_site,Canada : Ontario : Toronto,2021-06-08T21:51:16.434Z,"

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Requisition ID: 105270

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      - -

                                                      GAFE Analyst, Financial Engineer Fall 2021 Co-op

                                                      Fall 2021 (September to December)

                                                      -

                                                      Why work for Scotiabank?

                                                      -

                                                      -

                                                      Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                      -

                                                      This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                      -

                                                      -

                                                      Who We Are?

                                                      -

                                                      -

                                                      Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                      -

                                                      -

                                                      Your Work Term At a Glance

                                                      -

                                                      -

                                                      You’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                      -

                                                      -

                                                      As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                      -

                                                      -

                                                      Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                      -

                                                      -

                                                      Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers and analysts to learn from their experiences.

                                                      -

                                                      -

                                                      -

                                                      Responsibilities May Include:

                                                      -

                                                      -
                                                      • Assist the development and testing of cutting edge derivatives pricing models
                                                      • Build quantitative tools for trading and structuring desks
                                                      • Build and maintain infrastructure processes for new business lines;
                                                      • Ad hoc investigations for trading and marketing desks
                                                      • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                      • Provide support to the trading and sales desks
                                                      • -
                                                      -

                                                      -

                                                      -

                                                      Qualifications:

                                                      -

                                                      -
                                                      • Solid C++ programming skills, knowledge of Java, Python, Shell scripts, or Excel a plus
                                                      • Good math skills, knowledge of numerical methods and derivatives products a plus
                                                      • Strong analytic and problem solving skills
                                                      • Strong interpersonal skills, results oriented and a team player
                                                      • Ability to work well in a fast-paced environment with changing priorities
                                                      • Students should be currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                                      • Will be returning to school after the internship has concluded
                                                      • -
                                                      -

                                                      -

                                                      This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies.Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                      -

                                                      -

                                                      -

                                                      How do I Apply?

                                                      -

                                                      For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                                      -

                                                      1) Complete your PLUM Profile here

                                                      -

                                                      2) Save your PLUM Profile as PDF. Click here to learn how

                                                      -

                                                      3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                                      -

                                                      4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                                      -

                                                      Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                                      -

                                                      We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs

                                                      -

                                                      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                                      -

                                                      -

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-GAFE-Analyst%2C-Financial-Engineer-Fall-2021-Co-op-ON/547242317/,feed-importer@jobboard.io,,,,2021-07-09T16:09:41.983Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/67016551-gafe-analyst-financial-engineer-fall-2021-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GAFE-Analyst%2C-Financial-Engineer-Fall-2021-Co-op-ON/547242317/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -3f2c8c1e-676a-4e68-b149-ac4f9113ffcc,67016572,Thomson Reuters,Senior Database Engineer,on_site,Toronto-Ontario-Canada,2021-06-08T21:51:19.577Z,"
                                                      -Job Description

                                                      As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                      -

                                                      -

                                                      As a Senior Database Engineer working with the latest technologies, Microsoft Azure has to offer you will be working with a global team of engineers to improve product and service delivery

                                                      -

                                                      -

                                                      About the Role

                                                      -

                                                      As a Sr. Database Engineer, you will:

                                                      -
                                                        -
                                                      • Build and Develop – Work practices and methods to ensure they are the best for the task allocated

                                                      • -
                                                      • Be a Team Player – work in a collaborative team-oriented environment, share information, value diverse ideas, partner with cross functional and remote teams

                                                      • -
                                                      • Be Curious & Innovative – continuously update yourself with next generation technology, development tools, and contribute to process development practices

                                                      • -
                                                      • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced dynamic environment to deliver solutions against strict timelines

                                                      • -
                                                      • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                      • -
                                                      • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                      • -
                                                      -

                                                      -

                                                      About You

                                                      -

                                                      You’re a fit for the role of Sr. Database Engineer if you have:

                                                      -
                                                        -
                                                      • 8 – 10 years of work experience in MS SQL & 4 – 5 years in Azure SQL database administration capacity.

                                                      • -
                                                      • Experience managing systems and databases hosted in the cloud (Azure/AWS), understanding of design patterns for scalability, performance and reliability.

                                                      • -
                                                      • Experience with Agile/Scrum development methodologies

                                                      • -
                                                      • Experience supporting 24/7 multi-tenant systems preferably for a SaaS application.

                                                      • -
                                                      • Working knowledge of database table partitioning techniques and processes.

                                                      • -
                                                      • Hands-on experience building and maintaining SQL Transactional Replication topologies

                                                      • -
                                                      • Exposure to SSIS and ETL processes

                                                      • -
                                                      • Strong understanding of database encryption technologies, database structures, principles and best practices.

                                                      • -
                                                      • Strong working experience with SQL Server

                                                      • -
                                                      • Experience working with cross functional and remote teams

                                                      • -
                                                      • Self-driven and resourceful to achieve goals independently as well as work well in groups

                                                      • -
                                                      • Experience with test-driven development and automated testing frameworks

                                                      • -
                                                      • Eager to learn and willing to take initiatives

                                                      • -
                                                      -

                                                      -

                                                      Preferred qualifications:

                                                      -
                                                        -
                                                      • Bachelor’s degree in computer science or equivalent experience

                                                      • -
                                                      • Interest or experience coaching junior and mid-level engineers

                                                      • -
                                                      • Strong DevOps focus, and working experience knowledge with technologies like Azure native database and ETL technologies.

                                                      • -
                                                      • Clear understanding of ITIL and ITSM

                                                      • -
                                                      +

                                                      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                      -

                                                      What’s in it For You

                                                      -

                                                      You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                      -
                                                        -
                                                      • COVID-19 Response: Currently working remotely and following local COVID-19 bylaws and guidelines with the majority of our offices being remote until July 2021. Upon return, we will be embracing a hybrid work environment consisting of in-office and remote work

                                                      • -
                                                      • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                      • -
                                                      • Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                      • -
                                                      • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                      • -
                                                      • Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                      • -
                                                      -

                                                      -

                                                      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                      -

                                                      -

                                                      We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                      -

                                                      -

                                                      Accessibility

                                                      -

                                                      -

                                                      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                      -

                                                      -

                                                      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                      -

                                                      -

                                                      More information about Thomson Reuters can be found on thomsonreuters.com.

                                                      -

                                                      Locations
                                                      Toronto-Ontario-Canada
                                                      ",,https://jobs.thomsonreuters.com/ShowJob/Id/524925/Senior-Database-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-06-17T21:56:04.828Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/67016572-senior-database-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/524925/Senior-Database-Engineer/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -24b54fee-a811-4ddb-84d0-523e3eef1625,67016590,BenchSci,"Senior Data Engineer, R&D",on_site,"Toronto, Ontario /",2021-06-08T21:51:25.886Z,"
                                                      -
                                                      BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                      -

                                                      -
                                                      We are currently seeking a Senior Data Engineer, R&D to join our Machine Learning team. Reporting to the Engineering Manager, you will work on creating the data infrastructure that supports BenchSci’s supervised learning pipeline for the R&D problems that we are solving. In this role, you will work closely with domain experts and ML engineers in the earliest stages of building a new feature through domain modelling, data preparation, feature engineering, and rapid prototyping of heuristics or baseline models. Success will be measured by the continuous improvement of our model quality through a data-centric approach to model training, as well as the velocity with which we can ship new R&D features.
                                                      -

                                                      -
                                                      This position is open to candidates who would like to work remotely (outside of the GTA) or in-person at our Toronto office (post-COVID). For candidates who will be working within the GTA once we return to the office, we will continue to have ongoing remote flexibility of up to 4 days per week (department dependent).
                                                      -
                                                      -

                                                      You will:

                                                      -
                                                          -
                                                        • Collaborate closely with ML and domain experts to solve interesting and challenging problems with respect to extracting ground truth data to train high-quality models
                                                        • -
                                                        • Employ best practices in modern machine learning workflows within a cloud-based environment
                                                        • -
                                                        • Set the baseline performance to beat by the rapid development of specialized heuristics or baseline models
                                                        • -
                                                        • Analyze and evaluate our data sets across the ML lifecycle to ensure they are fit for purpose for both labeling and model training
                                                        • -
                                                        • Work on projects involving some of the largest pharmaceutical companies in the world
                                                        • -
                                                        • Provide troubleshooting analysis and resolution in a timely manner
                                                        • -
                                                        • Have opportunities to work both independently and in pair-programming settings
                                                        • -
                                                        • Be given an unmatched opportunity for growth and development, and to learn from a team of outstanding engineers
                                                        • -
                                                      -
                                                      -

                                                      You have:

                                                      -
                                                          -
                                                        • 4+ years of experience working as a professional developer
                                                        • -
                                                        • Expertise in Python and programming fundamentals
                                                        • -
                                                        • Expertise in intermediate/advanced SQL and BigQuery or similar serverless data warehousing solutions
                                                        • -
                                                        • Experience with statistical analysis of datasets
                                                        • -
                                                        • Experience with cloud reference architectures for common patterns in data pipelines
                                                        • -
                                                        • Strong cross-team communication and collaboration skills
                                                        • -
                                                      -
                                                      -

                                                      Nice to haves, but not mandatory qualifications:

                                                      -
                                                          -
                                                        • A background in Life Science
                                                        • -
                                                        • Working knowledge of data versioning tools such as DVC for machine learning
                                                        • -
                                                        • Working knowledge of distributed systems and data processing fundamentals
                                                        • -
                                                        • Knowledge of distributed data processing abstractions like Beam or Spark
                                                        • -
                                                        • Working knowledge of machine learning data fundamentals such as data splits, training-serving skew, common data representations such as embeddings or multi-hot encodings, sampling strategies for active learning
                                                        • -
                                                        • Working knowledge of how to evaluate classification model quality, such as precision, recall, F1, PR/ROC curves
                                                        • -
                                                      -
                                                      -

                                                      Our benefits and perks:

                                                      -
                                                          -
                                                        • A compensation package that includes equity options in the company
                                                        • -
                                                        • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                        • -
                                                        • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                        • -
                                                        • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                        • -
                                                        • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                        • -
                                                        • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                        • -
                                                        • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                        • -
                                                        • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                        • -
                                                        • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                        • -
                                                        • A great benefits package: Including health and dental
                                                        • -
                                                      -
                                                      -

                                                      -

                                                      -
                                                      Our Culture:
                                                      -
                                                      We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                      -

                                                      -
                                                      Diversity, Equity and Inclusion:
                                                      -
                                                      We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                      -

                                                      -
                                                      Accessibility Accommodations:
                                                      -
                                                      BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                      -
                                                      ",,https://jobs.lever.co/benchsci/ce28aef1-b8d4-46f7-8f4a-934b87d819bd?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-06-28T22:11:40.101Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67016590-senior-data-engineer-r-d-at-benchsci,https://jobs.lever.co/benchsci/ce28aef1-b8d4-46f7-8f4a-934b87d819bd,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -8bcd247b-1ca9-4212-9c1d-ab3d9e99daa1,67016609,Deloitte,"Senior Consultant, Healthcare Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-08T21:51:38.053Z,"

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto

                                                      -

                                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                                      Be encouraged to deepen your technical skills…whatever those may be.
                                                      Be empowered to lead and have impact with clients, our communities and in the office.

                                                      -
                                                      -
                                                      -

                                                      -

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      -
                                                      -
                                                      -
                                                      -

                                                      What will your typical day look like?

                                                      -

                                                      -
                                                      +

                                                      More information about Thomson Reuters can be found on thomsonreuters.com.

                                                      ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Applied-Research-Scientist---NLP_JREQ142757?SourceID-APPLICANT_SOURCE-3-713,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2021-04-23T14:26:28.604Z,True,0,15,154,https://talenthub.vectorinstitute.ai/jobs/55693450-applied-research-scientist-nlp-at-thomson-reuters,,expired,2021-03-24T14:26:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,PhD,New Posting, +90624013-580e-486d-a99d-6bc733950f1d,55842207,Deloitte,"Manager, Cyber Security, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-25T15:40:01.125Z,"

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto

                                                      +

                                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                                      Be encouraged to deepen your technical skills…whatever those may be.
                                                      Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.

                                                      -

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      -

                                                      Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                      -
                                                      +
                                                      +
                                                      +

                                                      +

                                                      Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                      -
                                                      -
                                                      -

                                                      About the team

                                                      -

                                                      +
                                                      +
                                                      +

                                                      What will your typical day look like?

                                                      +

                                                      +

                                                      As a Manager of Cyber Security clients will want you at the helm of any large project because you can be counted on to deliver top quality..You coach and develop the next generation of cyber security talent – the best talent comes to Deloitte because they want to work for you and on your projects.

                                                      +
                                                      +
                                                      +

                                                      About the team

                                                      +

                                                      -

                                                      As a Consultant / Senior Consultant in our Life Sciences and Healthcare Practice, you will specialize in Health Informatics, contributing to a portfolio of Deloitte’s Omnia AI Data Analytics and Modernization projects. The role includes working collaboratively within a team to support health data modernization efforts in the life sciences and healthcare sector, leading projects in cloud data transformations and data strategies, enabling patient centricity in healthcare organizations as well as claims modernization, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                                      -

                                                      In this role, you will –
                                                      Offer expertise in Artificial Intelligence and Data/Analytics Modernization
                                                      • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                                      • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                                      • Support health data modernization efforts in the public and private sectors, by working hands on with health data in cloud data transformation, data strategies as well as claims modernization
                                                      • Lead the end-to-end execution of health system modernization and the design of data architectures, working hand-on to build and implement customized health solutions

                                                      -
                                                      +

                                                      Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      +

                                                      AI Factory team within our Omnia AI group is where we build solutions that combine business intelligence with the power of AI. The AI Factory is where strategy meets intelligent design. We coordinate and synthesize the power of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine-learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions.

                                                      -
                                                      -
                                                      -

                                                      Enough about us, let’s talk about you

                                                      -

                                                      +
                                                      +
                                                      +

                                                      Enough about us, let’s talk about you

                                                      +

                                                      -

                                                      You are someone who is :

                                                      -
                                                      • 4-6 years in industry or consulting experience in a technical role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                                      • Overall understanding of health information management in healthcare and life sciences organizations (e.g. clinical, pharmaceutical, public health/government, retail pharmacies)
                                                      • Understanding of key data domains, data value chain, and information flow in healthcare and life sciences
                                                      • Ability to develop tailored data models and architecture encompassing clinical and non-clinical data, and data modelling and architecture documentation
                                                      • Health Interoperability Standards (e.g. HL7, FIHR)
                                                      • Experience with software systems such as Salesforce, SAP, Workday and SuccessFactors is desirable
                                                      • Must be eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level
                                                      • Some Canadian travel will be required; candidates must also be able to enter the USA to work on client assignments
                                                      • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                                      • Completed Undergraduate degree in a engineering/Analytics or related field; Master’s or PhD degrees and any recognized professional certifications would be an asset
                                                      • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                                      • -
                                                      +

                                                      You are someone with:

                                                      +

                                                      • Demonstrated experience in cyber security domains with experience in security operations and technical threat management functions preferred.
                                                      • 7+ years of experience with programming and scripting languages such as Java, C++, C#, Python, JavaScript, etc.
                                                      • Solid understanding of data structures, algorithms, and design patterns.
                                                      • Proven ability to build and inspire a team of technical and business security professionals, ability to deliver projects on time/budget/scope and excellent presentation and communications skills and experience working collaboratively with clients
                                                      • Experience in the deployment, management and/or use of SIEM and analytics platforms.
                                                      • Knowledge of machine learning and data science concepts, algorithms and languages/libraries.
                                                      • B.S. or M.S. degree in Computer Science, Information Security or a related technical field.

                                                      @@ -24374,137 +22923,42 @@ bfb6772a-3ad3-40a8-b332-50017650bf37,67016551,Scotiabank,"GAFE Analyst, Financia

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      -

                                                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                      ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,feed-importer@jobboard.io,,,,2021-07-09T16:18:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67016609-senior-consultant-healthcare-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -6ec4bf98-a4ca-4740-806a-fe29c8a18743,67016824,RBC,Data Engineer (Ampli),on_site,"Toronto, Ontario, Canada",2021-06-08T21:53:17.155Z,"
                                                      -

                                                      RBC is changing how people think about and interact with the bank on a daily basis. We want to be more than just transactional and episodic, and are finding new and innovative ways to be an essential part of everyone’s daily life.

                                                      -

                                                      At RBC Ventures we think and act like start-ups – exploring new ideas that are often completely unrelated to traditional banking products.

                                                      -

                                                      -

                                                      What is the opportunity?

                                                      -

                                                      Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineer to help solve some of our toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning and algorithmic technologies to create a model runtime for real time event processing and interactions.

                                                      -

                                                      -

                                                      What will you do?

                                                      -
                                                        -
                                                      • Support the build out of a data platform
                                                      • -
                                                      • Work with stakeholders including the Marketing, Product, Data and Development teams with data-related technical initiatives and support their data engineering needs
                                                      • -
                                                      • Build and manage large-scale batch and real-time data pipelines using the latest technologies
                                                      • -
                                                      • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                                      • -
                                                      • Leverage best practices in continuous integration and delivery
                                                      • -
                                                      • Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality
                                                      • -
                                                      • Explore new capabilities and technologies to drive innovation
                                                      • -
                                                      -

                                                      -

                                                      The ideal candidate will have experience with:

                                                      -
                                                        -
                                                      • Dealing with structured and unstructured data sets, data analytics and big data pipelines and infrastructure
                                                      • -
                                                      • Designing and implementing data infrastructure to house large sets of consumer and transaction data leveraging AWS platform services
                                                      • -
                                                      • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                                      • -
                                                      • Implementing and supporting data pipelines for extraction, transformation, and modeling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                                      • -
                                                      • Preparing analytical datasets to support data modeling and machine learning use cases
                                                      • -
                                                      • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                                      • -
                                                      • Communicating effectively to sell stakeholders on proposed actions and solutions
                                                      • -
                                                      -

                                                      -

                                                      The superlative candidate will have experience with:

                                                      -
                                                        -
                                                      • Experience in the marketing analytics space
                                                      • -
                                                      • Familiarity with common data science techniques and models
                                                      • -
                                                      • Experience working with large financial institutions
                                                      • -
                                                      • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                                      • -
                                                      • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                                      • -
                                                      -

                                                      -

                                                      RBCVentures

                                                      -

                                                      -

                                                      -

                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 88 Queens Quay West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salary + Variable Bonus
                                                      Position Level: PL08
                                                      Required Travel (%): 0-25
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: Yes
                                                      Application Deadline: 06/17/2021
                                                      Req ID: 363224

                                                      -

                                                      -

                                                      -
                                                      ",,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-18T20:00:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/67016824-data-engineer-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,expired,2021-06-08T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -04884ea8-eaad-4cd0-a00d-acfb45c38a3c,67016829,RBC,Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-06-08T21:53:19.038Z,"
                                                      -

                                                      What is the opportunity?

                                                      -

                                                      We are looking for a data engineering expert to join our growing team of analytics. You will be responsible for expanding and optimizing our data pipeline architecture with real time streaming and continuous integration/deployment architecture.

                                                      -

                                                      The ideal candidate is an experienced data pipeline builder and job automation expert who enjoys optimizing data systems and building them from the ground up. As Data Engineer you will work with our technology partners to implement API interfaces to automate data ingestion and extracts. You will lead a strategy to deploy ML and other analytical models into production.

                                                      -

                                                      -

                                                      What will you do?

                                                      -
                                                        -
                                                      • Developing & maintaining Extraction, Transformation and Loading (ETL) mechanism by using open source technologies such as Apache Spark & Hadoop Stack
                                                      • -
                                                      • Develop and support real-time streaming data pipelines
                                                      • -
                                                      • Automate, streamline and optimize data load jobs using schedulers and other techniques
                                                      • -
                                                      • Design and Develop API interfaces to extract and share data with other applications
                                                      • -
                                                      • work closely with fellow Data Engineers, Data Scientists and Business to productionize end to end analytic solutions from heterogeneous data sources on premise data lakes or cloud platforms
                                                      • -
                                                      • Collaborate with Contact Centre Technology and Product teams to ingest new and evolve existing shared data into the enterprise data lake that enables the Analytics team to perform proactive analytics
                                                      • -
                                                      • Maintain Architecture diagrams and other artefacts
                                                      • -
                                                      -

                                                      -

                                                      What do you need to succeed?

                                                      -

                                                      Must-have

                                                      -
                                                        -
                                                      • 2 years of minimum experience working as a Data Engineer and expert level in Python/Spark
                                                      • -
                                                      • Experience with big data technologies such as HDFS, Apache Spark, Ranger, Hive, Ambari
                                                      • -
                                                      • Experience in Job scheduling tools like Airflow and NIFI
                                                      • -
                                                      • Experience in Streaming data applications such as Kafka Streams, Elastic, Apache Flink, Spark Streaming, Apache Beam
                                                      • -
                                                      • Experience in ML Ops/Dev Ops
                                                      • -
                                                      • Experience in building CI/CD pipeline tools (Docker, Jenkins, Urban code, open shift etc.)
                                                      • -
                                                      -

                                                      -

                                                      Nice-to-have

                                                      -
                                                        -
                                                      • Familiarity with Contact Centre technology and business
                                                      • -
                                                      • Conceptual knowledge in Machine Learning Algorithms and Text Analytics
                                                      • -
                                                      • Experience with cloud platforms solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW
                                                      • -
                                                      • Experience in Agile PM Methodology and proficiency in tools like Asana and Confluence
                                                      • -
                                                      -

                                                      -

                                                      What’s in it for you?

                                                      -

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                        -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                      • -
                                                      • Leaders who support your development through coaching and managing opportunities
                                                      • -
                                                      • Work in a dynamic, collaborative, progressive, and high-performing team
                                                      • -
                                                      • Flexible work/life balance options
                                                      • -
                                                      • Opportunities to take on progressively greater accountabilities
                                                      • -
                                                      • Opportunities to building close relationships with business partners
                                                      • -
                                                      -

                                                      -

                                                      -

                                                      -

                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                      JOB SUMMARY
                                                      City: Mississauga
                                                      Address: 6880 Financial Dr
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salary + Variable Bonus
                                                      Required Travel (%): 0
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Application Deadline: 06/18/2021
                                                      Platform: Global Functions

                                                      Req ID: 368683
                                                      Ad Code(s):

                                                      -

                                                      -

                                                      -
                                                      ",,https://jobs.rbc.com/ca/en/job/368683/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-10T21:58:04.451Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/67016829-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/368683/Data-Engineer,expired,2021-06-08T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -9d16d3a9-1168-4b35-bb4f-dbf4d9e970ea,67139628,Deloitte,"Machine Learning Operations (ML Ops) Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-09T21:51:11.934Z,"
                                                      -

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto; Ottawa; Vancouver

                                                      -

                                                      Be encouraged to deepen your technical skills…whatever those may be

                                                      -

                                                      Learn from deep subject matter experts through mentoring and on the job coaching

                                                      -

                                                      Be empowered to lead and have impact with clients, our communities and in the office

                                                      +

                                                      Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                      ",,https://careers.deloitte.ca/job/Toronto-Manager%2C-Cyber-Security%2C-Omnia-AI-ON-M5C-3G7/715773900/,feed-importer@jobboard.io,,,,2021-04-28T15:38:34.995Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/55842207-manager-cyber-security-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager%2C-Cyber-Security%2C-Omnia-AI-ON-M5C-3G7/715773900/,expired,2021-03-25T15:40:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,Re-Posting an Expired Job, +6228930d-d0b8-4d33-a315-0470ed6486ce,55842214,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-03-25T15:40:03.223Z,"
                                                      +

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto

                                                      +

                                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                                      Be encouraged to deepen your technical skills…whatever those may be.
                                                      Partner with clients to solve their most complex problems

                                                      -
                                                      -

                                                      -

                                                      Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                      -
                                                      -
                                                      -
                                                      -

                                                      What will your typical day look like?

                                                      -

                                                      -
                                                      -

                                                      As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                                                      +
                                                      +
                                                      +

                                                      +

                                                      Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                      -
                                                      -
                                                      -

                                                      About the team

                                                      +
                                                      +
                                                      +

                                                      What will your typical day look like?

                                                      +

                                                      +
                                                      +

                                                      You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                      +

                                                      Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                      -

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      -
                                                      -
                                                      -

                                                      Enough about us, let’s talk about you

                                                      -

                                                      +
                                                      +
                                                      +

                                                      About the team

                                                      +

                                                      +

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      +
                                                      +
                                                      +

                                                      Enough about us, let’s talk about you

                                                      +

                                                      -

                                                      You are someone with:

                                                      -
                                                      • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                                                      • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
                                                      • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
                                                      • Strong experience in Python used both for ML and automation tasks.
                                                      • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                      • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                                                      • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                      • Strong oral and written communication skills
                                                      • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                                                      • Experience with Azure or AWS platforms is an asset
                                                      • Project management experience is an asset
                                                      • Professional services, consulting, or advisory experience is an asset
                                                      • +

                                                        What you will bring

                                                        +

                                                        +
                                                        • 2+ years in an infrastructure and/or DevOps role
                                                        • BS or MS in computer science, or equivalent
                                                        • +Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                          • Hosted Kubernetes on AWS, Azure or GCP
                                                          • Installing and maintaining on-premise Kubernetes infrastructure
                                                        • Coding experience in one of Python, JavaScript or Java
                                                        • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                        • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                        • Proven record of following continuous integration and delivery best practices
                                                        • Expertise in GIT and Jenkins pipelines
                                                        • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                        • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                        • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                        • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                        • Understanding of cloud computing and on-premise security principles and best practices
                                                        • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                      @@ -24519,294 +22973,177 @@ bfb6772a-3ad3-40a8-b332-50017650bf37,67016551,Scotiabank,"GAFE Analyst, Financia


                                                      The next step is yours

                                                      Sound like The One Firm. For You?

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      -

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,feed-importer@jobboard.io,,,,2021-07-10T15:57:32.622Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/67139628-machine-learning-operations-ml-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,expired,2021-06-09T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -47cf4257-25f5-40ac-992b-645eb9e58036,67312580,Scotiabank,"Data Scientist, Advanced Analytics, Global Risk Management - Toronto, ON",on_site,"Toronto, ON, Canada",2021-06-10T20:27:05.514Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      +

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-04-28T15:31:17.694Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/55842214-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-03-25T15:40:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +0c9854d1-6870-4e07-b158-ac4128a256e6,56351415,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2021-03-29T15:31:10.795Z,"
                                                      +

                                                      Company Overview

                                                      +
                                                      +

                                                      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                      +

                                                      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                      +

                                                      -

                                                      The Data Scientist, Advanced Analytics will support business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with peers across Global Risk teams, the business lines, IT&S and Digital Banking to expand the ‘Credit Science’ practice and drive the GRM Analytics COE interaction model. The candidate will identify and prioritize opportunities to deliver innovative retail credit solutions leveraging risk-reward predictions and strategy optimization frameworks.

                                                      +

                                                      Department Overview

                                                      +
                                                      +

                                                      What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                      +

                                                      As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                      +

                                                      TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                      +

                                                      -

                                                      Is this role right for you? In this role you, will:

                                                      +

                                                      Job Description

                                                      +
                                                      +You will be a key leader on an empowered team of data science professionals. Teams across the enterprise will rely on your leadership in data & analytics to bring about holistic changes to the bank’s business practices. Your knowledge and expertise in data science is complemented by strong business, communication and technical skills, allowing you to own & deliver with an integrated approach – seamlessly aligning with other leaders across the organization. You naturally provide your team with the inspiration and tools to execute with speed and precision, becoming true leaders themselves.

                                                      +

                                                      The following are key qualifications for As a Data Scientist II:

                                                        -
                                                      • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                      • -
                                                      • Support forward-thinking, high impact analytical use cases focused on supporting GRM Data, Analytics and Technology Strategy and deliver actionable insights to capitalize on business opportunities
                                                      • -
                                                      • Collaborate with GRM Analytics COE key stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs
                                                      • -
                                                      • Support risk-reward predictions delivery, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                      • -
                                                      • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail and business banking footprint to support growth or de-risking initiatives
                                                      • -
                                                      • Support Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                      • -
                                                      • Support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                      • -
                                                      • Support GRM Analytics COE with thought leadership and R&D activities to influence GRM stakeholders on trends regarding practical applications of machine learning and artificial intelligence to banking
                                                      • -
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in decision making
                                                      • +
                                                      • Deep technical skills in multiple facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                      • +
                                                      • Advanced communication, business acumen and stakeholder management competencies
                                                      • +
                                                      • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                      • +
                                                      • Work closely with stakeholders to identify opportunities and serve as an ambassador for data science across the enterprise
                                                      • +
                                                      • Liaise with support functions such as risk, technology, model validation, OCDO etc. and operate within TD’s risk appetite, following policies, protocols and procedures
                                                      • +
                                                      • Be a champion in the D&A community for TD’s platforms and strategies, proactively identifying opportunities to advance tools, techniques and approaches
                                                      • +
                                                      • Are self-directed with the ability to identify meaningful work in down times and manage your time effectively in busy times
                                                      • +
                                                      • Take ownership of team targets and strategies such as value generation and contributes to the overall management and culture of the team including setting an example for junior employee
                                                      • +
                                                      • Exceptional collaborator in a high-interaction environment
                                                      +

                                                      -

                                                      Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                      +

                                                      Requirements

                                                      +
                                                      +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                        -
                                                      • Post graduate degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                      • -
                                                      • 1~3 years working experience in Data Science/Machine learning/Modeling, financial industry or fintech preferred
                                                      • -
                                                      • Ability to ingest and work with large volumes of structured and unstructured non-traditional data
                                                      • -
                                                      • Working experience with big data tools such as SQL, Hive, Spark
                                                      • -
                                                      • Working experience with open-source programming languages such as Python, Pyspark, R, Scala
                                                      • -
                                                      • Working experience with ML/AI techniques for strategy design (supervised, unsupervised, NLP, decision tree, reinforcement learning, recommendation engines, APIs)
                                                      • -
                                                      • Knowledge of strategy optimization leveraging operations research principles would be an asset
                                                      • -
                                                      • Working experience with cloud computing platforms such as MS Azure and Google Cloud
                                                      • -
                                                      • Working experience with DevOps principles and/or software engineering best practices would be an asset
                                                      • -
                                                      • Working knowledge of visualization tools such as Tableau and Power BI would be an asset
                                                      • -
                                                      • Strong collaboration skills with ability to translate technical knowledge into business value
                                                      • -
                                                      • Effective communication skills with ability to prepare project documentation and presentations
                                                      • +
                                                      • Undergraduate degree or technical certificate
                                                      • +
                                                      • Advanced knowledge of industry data tools: python, R, SQL and Scala
                                                      +

                                                      -

                                                      What’s in it for you?

                                                      -
                                                        -
                                                      • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                      • -
                                                      • A rewarding career path with diverse opportunities for professional development.
                                                      • -
                                                      • Internal development to support your growth and enhance your skills.
                                                      • -
                                                      • A competitive compensation and benefits package.
                                                      • -
                                                      • An organization committed to making a difference in our communities– for you and our customers.
                                                      • -
                                                      • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                        This position is located Downtown Toronto
                                                      • -
                                                      +

                                                      Hours

                                                      +
                                                      37.5

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      -

                                                      -

                                                      Apply now »

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-Advanced-Analytics%2C-Global-Risk-Management-Toronto%2C-ON-ON-M5H1B6/547683117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:27:06.897Z,False,0,0,22,https://talenthub.vectorinstitute.ai/jobs/67312580-data-scientist-advanced-analytics-global-risk-management-toronto-on-at-scotiabank,,expired,2021-06-10T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d696701e-17be-4da4-b350-962dd0659646,67312799,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-06-10T20:29:02.231Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      -

                                                      PURPOSE:

                                                      -

                                                      -

                                                      The Global Data & Analytics Solutions team at Scotiabank has been focused to build and integrate advanced analytics solutions in Bank’s core processes to derive financial loss presentations, operational efficiencies, operational risk mitigation and customer personalized support; and with heavy emphasis on reusability of analytic solutions. We partner very closely with Digital Banking, Operations and Technology function areas of business. We have a high performing team culture, and the team consists of highly accomplished business professionals, Data Scientists, Data Strategists, Model-ops Engineers and Agile Project Managers.

                                                      -


                                                      We are seeking for a passionate individual at Senior Manager – Data Science Lead role with experience in managing and delivering complex analytic projects with agile mindset, experience in working with cross functional teams from both technology and business sides and should have a proven track record of fostering empowerment, a high-performing team culture and facilitating creativity. An individual would require to have a deep understanding of data science functional knowledge and building the high-impact analytics end-to-end solutions. Role is required to support the core business functions through the rapid project deliveries that will help to drive accelerated benefits for our customers.

                                                      -

                                                      -

                                                      -

                                                      WHAT WILL YOU DO?

                                                      -


                                                      • Data Science Lead will be working on strategically prioritised analytic use cases from technology and other function areas in bank under the guidance of a Director
                                                      • You will manage and support the team of data scientists, modelOps engineers and data strategist to develop, deploy and monitor advanced analytics, predictive analytics and ML analytics solutions
                                                      • You will prepare detailed documentation to outline data sources, methodologies, models, and algorithms used and developed
                                                      • Present results to business line stakeholders and help to drive real data-driven culture
                                                      • Promote high-performance culture and empowerment in a team by ensuring that each team member is fully engaged in project with meaningful contribution
                                                      • Participate and help in identifying analytic and AI opportunities to drive business value; and be an advocate for building reusable and scalable analytic solutions
                                                      • Manage project requirement gathering, scope and timeline
                                                      • Build and maintains relationships with cross-functional teams
                                                      • Build, manage and advocate the best practices for managing and executing the analytic projects

                                                      -

                                                      -

                                                      -

                                                      WHAT ARE WE LOOKING FOR?

                                                      -


                                                      • A university Degree in Business and/or STEM Discipline, preferably Master or above
                                                      • A strong project management experience in analytics and preferably in Finance industries
                                                      • Proven track record of executing the advanced analytics projects in agile delivery framework
                                                      • Knowledge of data science project life cycle – discovery, build, deploy and monitor
                                                      • Excellent verbal and written communication skills, ability to work with diverse team
                                                      • Knowledge of data science techniques to conduct descriptive, predictive, ML and NLP analytics
                                                      • Detailed level of understanding on organization’s risk appetite, risk culture and governance around the data science solutions
                                                      • Strong coaching and training skills
                                                      • Hands-on experience of working with data science tools and technologies such R/Python, SQL, Hive, Sqoop, PowerBI/Tableau etc.
                                                      • Hands-on experience of using project management and collaborative tools such as confluence, JIRA & Bitbuckets
                                                      • Familiarity or experience with deployment mechanisms for machine learning algorithms ( Docker & Kubernetes)
                                                      • Familiarity with cloud technologies such as AWS, GCP or MS Azure

                                                      -

                                                      -

                                                      -

                                                      WHAT’S IN IT FOR YOU?

                                                      -


                                                      • An inclusive and collaborative working environment that encourages pragmatic creativity, curiosity, and celebrates success
                                                      • You will get to work with and learn from friendly and diverse group of accomplished leaders
                                                      • Opportunity to work with different business lines where analytics are being tested and applied
                                                      • Training and learning program with resources like LinkedIn Learning, Plural sights and networking with Subject Matter Experts
                                                      • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program, and continuing education programs

                                                      -

                                                      -

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-ON-M5H1H1/546858817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-18T20:00:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/67312799-senior-manager-data-science-at-scotiabank,,expired,2021-06-10T20:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -c729434f-4ed1-4170-ae3f-09551bd735a6,67312833,Scotiabank,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-06-10T20:31:02.860Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Purpose

                                                      -

                                                      -

                                                      -

                                                      The Threat Monitoring – Senior Data Engineer is accountable to act as a Senior resource and SME in one of two key functions, being the development, of approaches and techniques or detecting Money Laundering activity across the bank globally, and/or within the Threat Analytics team to ensure that current and future high risk AML activities are identified and referred to Investigations for review.

                                                      +

                                                      Inclusiveness

                                                      +

                                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                      +
                                                      ",,https://jobs.td.com/en-CA/jobs/12521329/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-04-08T15:36:16.748Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/56351415-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12521329/data-scientist-ii-toronto-ca/,expired,2021-03-29T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +7c9a60f1-ea34-4252-bf47-2774ac523fd3,56351588,BMO Financial Group,Enterprise Architect - Big Data and Analytics,on_site,"Toronto, ON, Canada",2021-03-29T15:32:13.278Z,"

                                                      Enterprise Architect - Big Data and Analytics

                                                      -

                                                      Accountabilities

                                                      +

                                                      Creates a visionary IT big data and analytics architecture roadmap and organizational strategy to align business needs with technologies. Leads the creation of the strategic enterprise big data and analytics architecture for BMO. Partners with internal stakeholders to define the principles, standards, and guidelines regarding data flows, data aggregation, data migration, data curation, data consumption, data placements, data analytics, machine learning and AI. Provides expertise regarding data architecture in critical programs, data strategy and data quality remediation activities. Validates data architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.

                                                      +

                                                      · Defines & develops target & reference architecture, standards, best practices and leveraging leading big data & analytics architecture practices and advanced data technologies.

                                                      +

                                                      · Develops governance processes around data leveraging the enterprise data architecture framework.

                                                      +

                                                      · Applies innovative Data, Analytics & AI technologies with business insights to enterprise big data & analytics platform architecture, to meet complex and enterprise scale business and IT needs.

                                                      +

                                                      · Develops and maintain technical roadmap for enterprise big data & analytics platform for different platform capabilities.

                                                      +

                                                      · Supports projects/initiatives related to data acquisition, processing and utilization through enterprise big data platform.

                                                      +

                                                      · To be a technical leader viewed as a thought leader for innovation in big data, machine learning and AI areas. Thought out for their architectural depth and breadth.

                                                      +

                                                      · Provides advice and guidance to assigned Group/Functions on implementation of data & analytics solutions.

                                                      +

                                                      · Provides input to project teams to ensure that their processes and deliverables align with the target state architecture.

                                                      +

                                                      · Challenges the architecture validation process and other relevant enterprise data governance areas.

                                                      +

                                                      · Identifies data architecture opportunities for a broad, diverse, and complex set of business functions and processes.

                                                      +

                                                      · Develops and maintains strong working relationships with internal stakeholders in enterprise, technology and business groups in order to ensure adherence to data architecture standards.

                                                      +

                                                      · Researches/monitors industry activities to keep abreast of relevant data technologies.

                                                      +

                                                      · Recommends technology direction about the feasibility and applicability of such technologies within the environment.

                                                      +

                                                      · Works with business partners to analyze strategy and trends to define the requirements, principles, and models that guide technology decisions;

                                                      +

                                                      · Provides strategic input into business decisions as a trusted advisor.

                                                      +

                                                      · Works with internal stakeholders to provide architectural recommendations and guidance and departmental presentations.

                                                      +

                                                      · Leads and facilitates the design of technology projects and applications.

                                                      +

                                                      · Acts as the prime subject matter expert for internal/external stakeholders.

                                                      +

                                                      · Reviews technical work.

                                                      +

                                                      · Develops and recommends productivity aids to accelerate delivery.

                                                      +

                                                      · Creates and manages key architecture assets for the designated portfolio and business scope.

                                                      +

                                                      · Ensures sound and robust architecture and provides sufficient guidance for the successful implementation of solutions to mitigate negative enterprise technology and budget impacts.

                                                      +

                                                      · Identifies risks or issues with technology solution and design that may impact realization of project benefits, and guides and supports stakeholders in making good decisions that proactively resolve or mitigate potential project risks/delays.

                                                      +

                                                      · Participates in the system specification review process to ensure system requirements can be translated into valid software architecture.

                                                      +

                                                      · Identifies and researches relevant technologies, performs proofs of concept / prototypes, and recommends the applications of such technologies for future product architecture.

                                                      +

                                                      · Provides input into the preparation of business case.

                                                      +

                                                      · Identifies opportunities to strengthen the capability of the technology organization (e.g. sharing architectural expertise to promote technical development, mentoring employees, building communities of practice and networks).

                                                      +

                                                      · Stays abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning.

                                                      +

                                                      · Provides architectural expertise and domain knowledge to advise and guide senior leaders.

                                                      +

                                                      · Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

                                                      +

                                                      · Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

                                                      +

                                                      · Implements changes in response to shifting trends.

                                                      +

                                                      · Broader work or accountabilities may be assigned as needed.

                                                      +

                                                      Qualifications:

                                                      +

                                                      · Typically 7 - 15 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                      +

                                                      · Possesses a university degree/college diploma in related discipline(s) with concentration in computer science, engineering, information systems, information technology or other related majors such as business & administration.

                                                      +

                                                      · Solid hands-on working experience on enterprise level data platform and analytics solutions (e.g. Data Warehouse, Big Data, Hadoop, Spark, Kafka, SAS…);

                                                      +

                                                      · Solid proven working experience in data governance and enterprise data management domains including Data Security, Data Strategy, Data Quality, Master Data Management, Data Catalogs, Data Lineage

                                                      +

                                                      · OSS Data Technologies including Hadoop, Spark, Hive, Hue, Jupyter Notebook, Livy, Python, R, MariaDB, GraphQ and etc.

                                                      +

                                                      · Familiar with ODPi community and products

                                                      +

                                                      · Knowledge of cloud development platforms preferred

                                                      +

                                                      · AWS hands on experience and AWS cloud architect or big data certification a plus;

                                                      +

                                                      · Experience with SAS products: SAS Viya;

                                                      +

                                                      · Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue;

                                                      +

                                                      · Experience with Azure cloud services: Power BI, Databricks, SQL DB, Data Factory;

                                                      +

                                                      · Experience with stream-processing systems: Storm, Spark-Streaming, etc;

                                                      +

                                                      · Experience with implementing disruptive technologies in an organization;

                                                      +

                                                      · Experience with Complex & high volume cloud implementations;

                                                      +

                                                      · Experience with relational SQL and NoSQL databases;

                                                      +

                                                      · Experience with multi-faceted technologies (web development, network, distributed databases, big data, mobility, etc.);

                                                      +

                                                      · Passion for technology &/or domains;

                                                      +

                                                      · Innovations / Patent examples;

                                                      +

                                                      · Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.

                                                      +

                                                      · Exhibits knowledge of data architecture concepts and practices.

                                                      +

                                                      · Demonstrates knowledge of major regulatory frameworks related to risk data aggregation (e.g. BCBS239).

                                                      +

                                                      · Demonstrates knowledge of architecture frameworks, methodologies, and tools. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation).

                                                      +

                                                      · Possesses strong knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM).

                                                      +

                                                      · Possesses expert communication skills, both written and oral.

                                                      +

                                                      · Demonstrates solid consulting and client management skills.

                                                      +

                                                      · Is energetic, personable, and achievement- and outcome-oriented.

                                                      +

                                                      · Exhibits relationship management and managerial leadership abilities.

                                                      +

                                                      · Seasoned professional with a combination of education, experience and industry knowledge.

                                                      +

                                                      · Verbal & written communication skills - In-depth / Expert.

                                                      +

                                                      · Analytical and problem solving skills - In-depth / Expert.

                                                      +

                                                      · Influence skills - In-depth / Expert.

                                                      +

                                                      · Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

                                                      +

                                                      · Able to manage ambiguity.

                                                      +

                                                      · Data driven decision making - In-depth / Expert.

                                                      -

                                                      1. Leverage new and traditional data engineering processes and technique to create robust analytical platform

                                                      -
                                                        -
                                                      • Define data architecture design, and integrate existing and new assets on to platform
                                                      • -
                                                      • Ensure that design can scale with a focus on pipelines, and utilities
                                                      • -
                                                      • Maintain, and test to ensure reliability and performance of each part of the system
                                                      • -
                                                      • Deploy machine learning algorithms into production environments
                                                      • -
                                                      -

                                                      2. Perform data extrapolation across multiple data sources and create data mosaics

                                                      -
                                                        -
                                                      • Develop data mosaics by combining information across different sources including law enforcement, news, social media, etc.
                                                      • -
                                                      • Construct data frameworks that will be used to measure, and monitor threats to the bank
                                                      • -
                                                      -

                                                      3. Perform system integration between global entity databases and transaction systems.

                                                      -
                                                        -
                                                      • Build scalable solution to ingest and process entity databases and business transaction systems.
                                                      • -
                                                      • Extend classic standalone algorithms to work in parallel in Hadoop ecosystem, interactive cluster and GCP.
                                                      • -
                                                      • Build batch-based and real-time entity resolution process on serve various business transaction systems.
                                                      • -
                                                      -

                                                      4. Onboard and enrich data from global sources

                                                      -
                                                        -
                                                      • Develop processes to clean and transform raw data from bank and third-party sources
                                                      • -
                                                      • Work with team members and domain experts to extract features
                                                      • -
                                                      -

                                                      5. Other

                                                      -
                                                        -
                                                      • Collaborate with a broader team of data scientist, data engineers, and dev/op’s and create a dynamic innovative culture
                                                      • -
                                                      • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                      • -
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                      • -
                                                      • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                      • -

                                                      +

                                                      We’re here to help

                                                      +

                                                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                      +

                                                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/547805017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:31:04.629Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/67312833-senior-data-engineer-at-scotiabank,,expired,2021-06-10T20:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -e095b0e3-1284-40dc-a8e0-a0d9070eaacc,67312837,Scotiabank,"Senior Data Scientist, Advanced Analytics, Global Risk Management",on_site,"Toronto, ON, Canada",2021-06-10T20:32:26.672Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      +

                                                      To find out more visit us at www.jobs.bmo.ca/ca/en.

                                                      -


                                                      The Senior Data Scientist, Advanced Analytics will taking a leading role in business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with peers across Global Risk teams, the business lines, IT, and Digital Banking to expand the ‘Credit Science’ practice and drive the Global Risk Management Analytics COE interaction model. The candidate will identify and prioritize opportunities to deliver innovative Business Banking credit solutions leveraging liquidity, risk-reward predictions and strategy optimization frameworks.

                                                      +

                                                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Enterprise-Architect---Big-Data-and-Analytics_R210000001,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-04-28T15:32:14.728Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/56351588-enterprise-architect-big-data-and-analytics-at-bmo-financial-group,,expired,2021-03-29T15:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +1e63253f-dffd-4bfd-b4ed-28b7924e2fbe,56364606,Sun Life Financial,"Director, Data Science",on_site,"Toronto, ON, Canada",2021-03-29T17:19:19.163Z,"

                                                      You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                      -

                                                      Is this role right for you? In this role you, will:

                                                      -
                                                        -
                                                      • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                      • -
                                                      • Support forward-thinking, high impact analytical use cases focused on supporting GRM Data, Analytics and Technology Strategy and deliver actionable insights to capitalize on business opportunities
                                                      • -
                                                      • Collaborate with GRM Analytics COE key stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs
                                                      • -
                                                      • Support risk-reward predictions delivery, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                      • -
                                                      • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail and business banking footprint to support growth or de-risking initiatives
                                                      • -
                                                      • Support Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                      • -
                                                      • Lead and support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                      • -
                                                      • Support GRM Analytics COE with thought leadership and R&D activities to influence GRM stakeholders on trends regarding practical applications of machine learning and artificial intelligence to banking
                                                      • -
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in decision making
                                                      • -

                                                      -

                                                      Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                      -
                                                        -
                                                      • University/Post graduate degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                      • -
                                                      • Ability to ingest and work with large volumes of structured and unstructured non-traditional data
                                                      • -
                                                      • Working experience with big data tools such as SQL, Hive, Spark
                                                      • -
                                                      • Working experience with open-source programming languages such as Python, R, Scala
                                                      • -
                                                      • Working experience with ML/AI techniques for strategy design (supervised, unsupervised, NLP, decision tree, reinforcement learning, recommendation engines, APIs)
                                                      • -
                                                      • Knowledge of strategy optimization leveraging operations research principles would be an asset
                                                      • -
                                                      • Working experience with cloud computing platforms such as MS Azure and Google Cloud
                                                      • -
                                                      • Working experience with DevOps principles and/or software engineering best practices would be an asset
                                                      • -
                                                      • Corporate, Commercial and Capital Markets experience is an asset
                                                      • -
                                                      • Working knowledge of visualization tools such as Tableau and Power BI would be an asset
                                                      • -
                                                      • Strong collaboration skills with ability to translate technical knowledge into business value
                                                      • -
                                                      • Effective communication skills with ability to prepare project documentation and presentations
                                                      • -
                                                      +

                                                      Job Description:

                                                      -

                                                      What’s in it for you?

                                                      -
                                                        -
                                                      • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                      • -
                                                      • A rewarding career path with diverse opportunities for professional development.
                                                      • -
                                                      • Internal development to support your growth and enhance your skills.
                                                      • -
                                                      • A competitive compensation and benefits package.
                                                      • -
                                                      • An organization committed to making a difference in our communities– for you and our customers.
                                                      • -
                                                      • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                        This position is located Downtown Toronto
                                                      • -
                                                      +

                                                      Role Summary

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-Advanced-Analytics%2C-Global-Risk-Management-ON-M5H1B6/547858017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:32:28.403Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/67312837-senior-data-scientist-advanced-analytics-global-risk-management-at-scotiabank,,expired,2021-06-10T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -56981103-7682-402f-9ace-f54356cecdb7,67313381,Scotiabank,"Director, Data Governance & Attestation, Global Finance",on_site,"Toronto, ON, Canada",2021-06-10T20:40:30.504Z,"

                                                      Join the Global Community of Scotiabankers to help customers become better off.

                                                      +

                                                      As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail clients across Canada.

                                                      -

                                                      The Director serves as the Data governance and attestation Lead, managing formation of the Global Finance data governance program, attestation and “business-as-usual” activities. The role guarantees all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                      -

                                                      The incumbent ensures implementation and alignment of the Global Finance Financial and Regulatory Reporting Attestation policy and partners with data attestation providers to confirm assurance on the accuracy, completeness and substantiation of financial information; review certification received on the accuracy, completeness and conformance to requirements of non-financial information; confirm with attesters that effective controls are in place to ensure proper information capture, transformation and reconciliation, and adequate compilation and validation of reports; support the assessment and impact of exceptions to financial / regulatory reporting and monitor remediation action plans of disclosed exceptions including related controls that impact Financial and Regulatory Reporting including disclosure on changes in process, technology or organizational structure that impact Financial and Regulatory Reporting

                                                      -

                                                      The incumbent is responsible for the monitoring of data quality and assessment for root cause analysis & prioritization of identification of data issues. Once the data issues are identified and prioritized the Data Governance & Attestation Lead will be required to oversee the remediation of these issues.

                                                      -

                                                      The incumbent needs to be able to multi-task, be a good communicator and manage various work streams relating to Finance Data Management and Attestation, including externally driven (i.e. regulatory) and/or upstream related initiatives.

                                                      +

                                                      Reporting to the AVP, Innovation and Analytics, the Director, Data Science will lead predictive analytics and machine learning initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including sales, underwriting, product management and actuarial. The Director will also provide intellectual leadership on the application of advanced data analytics techniques to business problems and coach a high-performance team of analytics professionals.

                                                      -

                                                      Key Accountabilities:

                                                      +

                                                      The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a passion for leveraging data to drive business outcomes and a thirst for continuous learning.

                                                      +

                                                      What will you do?

                                                        -
                                                      • Champions a customer focused culture and leverage broader Bank relationships, systems and knowledge.
                                                      • -
                                                      • Reports to the VP Regulatory Risk Governance and is responsible for executing the Global Finance (Canada and consolidated Bank) day-to-day data management and attestation activities, including remediating data quality and attestation issues for Global Finance (Canada and consolidated Bank) and implementing change management processes.
                                                      • -
                                                      • Accountable for the full alignment of the key Attestation principles which considers;
                                                          -
                                                        • the identification of data providers, and controls in place to capture, transform, reconcile and generate information used for Financial and Regulatory Reporting;
                                                        • -
                                                        • Attestations provided by respective areas are completed by personnel at the VP or equivalent level;
                                                        • -
                                                        • Data Providers attest on the accuracy and completeness and related controls over the information provided for Financial and Regulatory Reporting purposes;
                                                        • -
                                                        • Submission of attestations are aligned to the frequency of the data provided.
                                                        • -
                                                        -
                                                      • -
                                                      • It is the responsibility of the Director to obtain confirmation, through Attestations that for e.g.:
                                                          -
                                                        • General Ledger is accurate, complete and substantiated;
                                                        • -
                                                        • non-financial information, such as attributes at the customer, product and transaction levels required for Financial and Regulatory Reporting, is properly identified, captured and processed;
                                                        • -
                                                        • key controls for Financial and Regulatory Reporting processes remain effective;
                                                        • -
                                                        • exceptions on information or controls are being disclosed for assessing their impact over Financial and Regulatory Reporting
                                                        • -
                                                        -
                                                      • -
                                                      • The owner of the data for Global Finance and provides oversight and governance for the data created (e.g. atomic-level data, derived data, etc.).
                                                      • -
                                                      • Responsible for establishing and maintaining strong data management capabilities e.g.:
                                                          -
                                                        • Developing and maintaining accurate data lineage for critical data (working with IT)
                                                        • -
                                                        • Documentation of end-to-end processes, including EUCs and Key Controls
                                                        • -
                                                        • Establishment of Service Level agreements with appropriate data providers
                                                        • -
                                                        • Establishment of Data quality measurements and reporting
                                                        • -
                                                        • Establishment Issue management process and procedures
                                                        • -
                                                        -
                                                      • -
                                                      • Primary point of contact for all Global Finance Canada data matters, championing data as a strategic asset and participates in regular data governance team, project, and leadership meetings.
                                                      • -
                                                      • Developing and maintaining standards related to data quality, issue management and change management for Global Finance data that align with bank policies.
                                                      • -
                                                      • Work in conjunction with data consumers and Domain stakeholders to establish data quality rules, standards and thresholds, to ensure appropriate data quality monitoring practices are in place.
                                                      • -
                                                      • Accountable to ensure that Global Finance is in compliance with the Enterprise Data Governance Framework and Enterprise Data Management Policy.
                                                      • -
                                                      • Lead the identification and root-cause analysis of data quality and attestation issues arising through the data and attestation process chain, from source system to final reporting.
                                                      • -
                                                      • Prioritizing data and attestation issues and collaborating with business and technology stakeholders to address and remediate issues in a timely manner based on priority and severity.
                                                      • -
                                                      • Tracks and reports on data and attestation governance work to milestones and progress.
                                                      • -
                                                      • Partners with technology and the Enterprise Data Office and technology for the delivery of any tools required for data governance and attestation operations.
                                                      • -
                                                      • Work within Global Finance, respective subsidiaries and markets to support policy compliance.
                                                      • -
                                                      • Actively tracking Financial and Regulatory changes and anticipating the impact these will have on Finance data governance, attestation and reporting.
                                                      • -
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                      • -
                                                      • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                      • -
                                                      • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                                      • +
                                                      • Lead a team to identify, develop, and operationalize high quality, robust predictive analytics solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. sales, product management, actuarial, underwriting).
                                                      • +
                                                      • Lead the research, development, and operationalization of enhancements to existing production models (e.g. Sun Life’s accelerated underwriting model)
                                                      -

                                                      Experience / Education:

                                                      -

                                                        -
                                                      • A minimum of 7 years of financial industry Finance and/or Technology experience is required.
                                                      • -
                                                      • A recognized under-graduate degree in business, mathematics, computer science or a related discipline.
                                                      • -
                                                      • A recognized post-graduate or master’s degree in business, finance, CFA and/or FRM would be an asset.
                                                      • -
                                                      • Knowledge of Internal Controls, Compliance standards and best practices, with use of analysis tools for monitoring
                                                      • -
                                                      • Knowledge of the Bank's financial instruments, capital markets and wholesale operational processes & controls
                                                      • -
                                                      • Knowledge of regulatory/financial reporting and an understanding of general ledger structure
                                                      • -
                                                      • Knowledge of requirements gathering, design methodology and building test cases - detail oriented, analytical and capable of investigating complex / technical issues
                                                      • -
                                                      • Able to troubleshoot data related issues and support in the authorization in maintenance and modifications.
                                                      • -
                                                      • Excellent communication / presentation skills (both oral and written)
                                                      • -
                                                      • Excellent team player by working with cross-departmental business & IT stakeholders
                                                      • -
                                                      • Highly motivated and committed, capable of working in a dynamic environment with aggressive timelines, multiple work streams running in parallel.
                                                      • -
                                                      • Strong project management experience, able to drive initiatives from planning through execution.
                                                      • -
                                                      • Experience with eliciting and provided requirements and design
                                                      • +
                                                      • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
                                                      • +
                                                      • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources
                                                      • +
                                                      • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives
                                                      • +
                                                      • Coach and grow a high performance team of analytics professionals with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                                      -

                                                      Pending Job Evaluation

                                                      -

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      -

                                                      As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      -

                                                      -

                                                      Apply now »

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-&-Attestation%2C-Global-Finance-ON-M5V2T3/544150317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:40:31.994Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67313381-director-data-governance-attestation-global-finance-at-scotiabank,,expired,2021-06-10T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -af9089b2-2e07-4143-83cf-a1802cb776a0,67323403,Layer 6,Machine Learning Engineer – Backend,on_site,"Toronto, ON, Canada",2021-06-10T21:40:26.211Z,"

                                                      We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                      -

                                                      We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                      -

                                                      -

                                                      As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                                      -

                                                      Must-have:

                                                      -

                                                      – BSc+ in Computer Science or similar
                                                      – 3+ years of programming experience
                                                      – Proven experience in designing and delivering a complex web application
                                                      – Experience as a key contributor and leader on projects
                                                      – Strong experience in Java and its ecosystem
                                                      – Passionate about creating maintainable and performant software
                                                      – Strong desire to learn and solve problems

                                                      -

                                                      Nice to have

                                                      -

                                                      – Experience with databases such as Elasticsearch
                                                      – Experience with microservice architecture
                                                      – Familiarity with data analysis or machine learning
                                                      – Experience with Docker and Kubernetes
                                                      – Comfortable with math (linear algebra, calculus)

                                                      ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-07-10T21:40:27.898Z,False,0,0,30,https://talenthub.vectorinstitute.ai/jobs/67323403-machine-learning-engineer-backend-at-layer-6,,expired,2021-06-10T21:40:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -321cfeca-0e2f-490d-af49-0c32c1290cc8,67324618,Sun Life Financial,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-06-10T21:51:15.686Z,"

                                                      You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                      -

                                                      -

                                                      -

                                                      Job Description:

                                                      -

                                                      Role Summary

                                                      -

                                                      -

                                                      Analytics & Insights is a multi-disciplinary center of excellence comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric.

                                                      -

                                                      -

                                                      An integral part of the Analytics & Insights organization, the Data Science team works closely with various lines of business to build a recommendation system by leveraging big data and AI/Machine Learning algorithms!

                                                      -

                                                      Flexibility and an entrepreneurial mindset are critical in this role, as part of your responsibility will be to build quick PoCs in an imperfect way to perfectly test & validate ideas.

                                                      -

                                                      -

                                                      What will you need to succeed?

                                                      -
                                                        -
                                                      • Minimum of master's degree in Statistics, Software Engineering, Mathematics, Econometrics, Physic or equivalent. PhD degree preferred.
                                                      • -
                                                      • Programming experience Python or R (3+ years)
                                                      • -
                                                      • Go-getter with agile mind set
                                                      • -
                                                      • Demonstrated data transformation & manipulation experience.
                                                      • -
                                                      • Deep understanding of deep learning and unsupervised models
                                                      • -
                                                      • Thirst for learning new methodologies and models
                                                      • -
                                                      • Detail oriented but do not get lost there!
                                                      • -
                                                      • Working experience in:

                                                        +

                                                        What do you need to succeed?

                                                          -
                                                        • Agile framework
                                                        • -
                                                        • Big data platforms
                                                        • -
                                                        • Keras and Tensor Flow
                                                        • -
                                                        • AWS services including SageMaker
                                                        • -
                                                        • Structured vs. Unstructured data
                                                        • -
                                                        -
                                                      • -
                                                      • Insurance and finance services industry preferred
                                                      • +
                                                      • M.S. or PhD, preferably in math, computer science, or other relevant fields, or equivalent work experience
                                                      • +
                                                      • 7+ years of industry experience and expert knowledge in machine learning and data science
                                                      • +
                                                      • 3+ years experience in a management or leadership role
                                                      • +
                                                      • Extensive knowledge of machine learning and deep learning tools and concepts, including applications in NLP
                                                      • +
                                                      • Experience using one or more statistical programming languages (i.e., Python) to work with data sets

                                                      -

                                                      What will you do?

                                                      +

                                                      What will be nice to have?

                                                        -
                                                      • -Design and develop AI/Machine Learning models for business operations: With access to enormous open source, third party and Sunlife data, you would be connecting different data sets and testing different AI algorithms (e.g. Reinforcement Learning, Collaborative Filtering, Long Short-Term Memory) to examine their business value. Once the value is proven, the model needs to be deployed and monitored in our production environment
                                                      • -
                                                      • -Research new algorithms, document them, and share your findings with the team: Data science is a fast-evolving field, every day there is a new algorithm out there that we can use and/or monitor them for future use.
                                                      • -
                                                      • -Formally apply statistical/scientific rigour to the problems at hand: As much as we like our gut feelings but for a business to succeed, we need to make sure our solutions are scientifically correct.
                                                      • -
                                                      • -Share what you see in the data as a story: Data on its own can be a bit dull, so we need to make it colorful by connecting the dots and telling a compelling story.
                                                      • -
                                                      • -Analyze data to support model development and to identify potential areas for improvement: Data analysis could be about existing challenges, but it may also help identify areas for improvement and bring them to surface to get resolved – We need both!
                                                      • -
                                                      • -Work with the team to document data models, architecture, algorithms: we work in an Agile environment, but it is not equivalent to NO documentation.
                                                      • +
                                                      • Life and health insurance industry experience, preferably a background in distribution, actuarial, or product management
                                                      • +
                                                      • Experience with cloud-based big data tools and platforms: AWS, SageMaker
                                                      • +
                                                      • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka
                                                      • +
                                                      • Past experience in analytics consulting or project management roles

                                                      What’s in it for you?

                                                      @@ -24820,7 +23157,6 @@ af9089b2-2e07-4143-83cf-a1802cb776a0,67323403,Layer 6,Machine Learning Engineer
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    @@ -24829,2781 +23165,2512 @@ af9089b2-2e07-4143-83cf-a1802cb776a0,67323403,Layer 6,Machine Learning Engineer

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Science_JR00040570-3?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-04-15T20:19:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/56364606-director-data-science-at-sun-life-financial,,expired,2021-03-29T17:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +914c8068-ce16-449c-a19c-5324c1fbfebb,56368257,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-03-29T17:56:30.212Z,"

                                                    Purpose
                                                    The incumbent leads advanced analytics and executive reporting projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    -

                                                    Salary Range:

                                                    -

                                                    73,800/73 800 - 124,100/124 100

                                                    -

                                                    Job Category:

                                                    -

                                                    Advanced Analytics

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00041583-3?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-07-10T21:51:27.954Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/67324618-senior-data-scientist-at-sun-life-financial,,expired,2021-06-10T21:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -8f4cf6cc-4a32-4a21-8737-4db5d871db8d,67324634,Sun Life Financial,"Fall Co-op Opportunities 2021 - Toronto, Waterloo & Montreal",on_site,"Toronto, ON, Canada",2021-06-10T21:53:37.956Z,"

                                                    Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.

                                                    +

                                                    Accountabilities
                                                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                    +

                                                    • Proactively drives data-based decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Identifies opportunities for operational efficiencies and cost savings.

                                                    +

                                                    • Leverages advanced analytics techniques to improve end-to-end business processes, such as predictive & prescriptive analytics and simulations for optimization.

                                                    +

                                                    • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication with data delivery network and Executives. Strong interpersonal and communication skills are essential.

                                                    +

                                                    • Provides advanced data mining techniques to provide fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake (Hadoop), cloud, and diverse source systems.

                                                    +

                                                    • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with executive leadership. These insights are expected to strategically influence decisions of business operations management.

                                                    +

                                                    • Implements best practices for Internal Survey design, analysis and communication of insights.

                                                    +

                                                    • Maintain awareness of best practices in the field of data analytics and adopt a continuous learning model to reflect quality of work that is produced

                                                    +

                                                    • Identifies and implements use cases for enhancing customer experience across business units using advanced techniques, such as customer segmentation, text analytics (NLP) and experimental research.

                                                    +

                                                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                    +

                                                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                    +

                                                    • Champions a high performance environment and contributes to an inclusive work environment.

                                                    -

                                                    Job Description:

                                                    -

                                                    Sun Life is now accepting applications for a variety of co-op positions for the Fall 2021 work term. Some of the business areas with opportunities available include Finance, Digital, Business & Technology Solutions, Strategy, Human Resources and Group Disability among other areas.

                                                    +

                                                    Dimensions

                                                    +

                                                    • Advanced Analytics Use Cases
                                                    • Executive Reporting

                                                    +

                                                    • Customer Experience
                                                    • All operational functions in Global Operations

                                                    -

                                                    This is a general posting for co-op opportunities starting in September. Please ensure you also apply to the job specific posting through your university/college if applicable. We will reach out to you if your profile matches an opportunity that we have available.

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for.

                                                    +

                                                    Education & Experience

                                                    +

                                                    • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
                                                    • 8+ years of experience in managing and analyzing data with advanced techniques

                                                    +

                                                    • Working experience in customer analytics, text analytics and experimental research
                                                    • Advanced knowledge of Python, R, SQL, Power BI and DAX
                                                    • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
                                                    • Excellent verbal and written communication skills to effectively present information to relevant stakeholders at all levels of the organization

                                                    -

                                                    Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans, payment under which is discretionary and subject to individual and company performance

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    Working Conditions
                                                    • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel globally.

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    Location(s): Canada : Ontario : North York || Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    +

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/North-York-Senior-Manager%2C-Data-Science-ON-M3C0N5/546078817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-04-09T18:34:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/56368257-senior-manager-data-science-at-scotiabank,,expired,2021-03-29T17:56:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +c18627bd-b70b-4aa8-9a13-a7e45c47e970,56477091,Borealis AI,Fall 2021 Internships,on_site,"Toronto, ON, Canada",2021-03-30T13:08:36.177Z,"

                                                    About Borealis AI

                                                    +

                                                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank

                                                    +

                                                    of Canada. Comprised of top AI researchers and engineers and motivated by the

                                                    +

                                                    pursuit of solving intelligence, Borealis AI is advancing machine learning science,

                                                    +

                                                    while building leading products for financial services. With 40+ scientific publica-

                                                    +

                                                    tions in top-tier academic venues, the institute performs research in areas, such as

                                                    +

                                                    deep learning, reinforcement learning, language processing, AI safety, and more.

                                                    +

                                                    Borealis AI was founded in 2016 and has over 100 team-members across its four

                                                    +

                                                    labs in Canada.

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    +

                                                    Our internships are currently running virtually. Interns support research on a wide

                                                    +

                                                    variety of theoretical and applied machine learning projects. Working at Borealis AI

                                                    +

                                                    will grant you unique access to massive structured and unstructured datasets with

                                                    +

                                                    the tools and resources necessary to build game-changing statistical models. Being

                                                    +

                                                    part of our team means you’ll have the opportunity to publish original research

                                                    +

                                                    in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And

                                                    +

                                                    you’ll be working with some of the brightest minds in AI.

                                                    -

                                                    Job Category:

                                                    -

                                                    Temporary Employee

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Campus/job/Toronto-Ontario/Fall-Co-op-Opportunities-2021---Toronto--Waterloo---Montreal_JR00043314?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-07-10T21:53:50.669Z,False,0,12,41,https://talenthub.vectorinstitute.ai/jobs/67324634-fall-co-op-opportunities-2021-toronto-waterloo-montreal-at-sun-life-financial,,expired,2021-06-10T21:53:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -a73f6b80-c006-4a87-9a3c-9a2be159ed0a,68003976,TD Bank Group,Quantitative Analyst I,on_site,"Toronto, ON",2021-06-14T15:42:10.999Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    +

                                                    Internship opportunities are available in the following areas:

                                                    +

                                                    ` Deep Learning

                                                    +

                                                    ` Reinforcement Learning

                                                    +

                                                    ` Graphs and Optimization

                                                    +

                                                    ` Unsupervised and Semi-supervised

                                                    +

                                                    Learning

                                                    +

                                                    ` Bayesian Optimization

                                                    +

                                                    ` Privacy and Fairness

                                                    +

                                                    ` Interpretability and Explainability

                                                    +

                                                    ` AutoML

                                                    +

                                                    ` Time Series Forecasting

                                                    +

                                                    ` Natural Language Processing

                                                    +

                                                    ` Computer Vision

                                                    -

                                                    Department Overview

                                                    -
                                                    The Model Validation (MV) group in Risk Management is responsible for the independent validation and approval of analytical models used for pricing, hedging and risk and capital evaluation of financial products and portfolios of financial products. This also includes vetting and validation of decision making models, such as credit approval and behavioral scoring models for the Bank’s Retail portfolio
                                                    +

                                                    Fall 2021

                                                    +

                                                    Internships

                                                    +

                                                    1

                                                    -

                                                    Job Description

                                                    -
                                                    The position reports to Senior Manager, Non-Retail Model Validation group within MV. Detailed accountability include:
                                                    Validate a variety of Non-retail quantitative / qualitative models in Canada and the U.S., including Credit Risk Rating Models and Parameter Models, Internal Risk Rating System, Tax Models, and Stress Testing Models (i.e. CCAR/DFAST/EWST).
                                                    Implement validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.
                                                    Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Ensure extensive testing of model’s sensitivity that help assessing model’s behavior and risk.
                                                    Assess the conceptual soundness of the model methodology including assumptions.
                                                    Implement and evaluate external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.
                                                    Actively participate with business partners in internal data management to ensure data integrity and the completeness of data capture for model validation and development purpose, as well as meet Basel requirements on data capture and retention.
                                                    Maintain / Develop professional knowledge of techniques and developments in the field of quantitative analysis, and share knowledge with business partners and senior management.
                                                    Work effectively with different internal partners such as Model Development (MD) Group, Credit Risk Policy group (CRP), US Tax group, Treasury & Balance Sheet Management Group (TBSM), Internal Audit, and Enterprise Enabling Technology Solutions (EETS) Group
                                                    +

                                                    You’re our ideal candidate if you have:

                                                    +

                                                    ` Ability to implement state-of-the-art machine learning techniques

                                                    +

                                                    ` High motivation to solve challenging research problems

                                                    +

                                                    ` Passion for data, algorithms, and statistics

                                                    +

                                                    ` Experience working towards a PhD or already hold an MSc in Computer Science,

                                                    +

                                                    Engineering or another mathematically related field (e.g., Physics, Math, Statistics,

                                                    +

                                                    etc.)

                                                    +

                                                    ` Previous publications at a top-tier AI conference

                                                    +

                                                    ` Experience with writing modular, robust, scalable software in Python

                                                    +

                                                    ` Familiarity with the Unix command line and bash scripting

                                                    +

                                                    ` Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch

                                                    +

                                                    ` A deep understanding of machine learning algorithms and/or statistical modeling

                                                    -

                                                    Requirements

                                                    -
                                                    Strong quantitative skills with an advanced degree in one or more of the following areas: statistics, economics, Econometrics, financial engineering, mathematics, and computer science & Engineering.
                                                    Experience in model development or validation with an advanced knowledge of financial/econometric modeling and statistical analysis techniques; experience with econometric and credit risk capital modeling or credit rating models is an asset.
                                                    Proficient in one or more programming languages such as SAS, SQL, MatLab, R, or Python. Familiarity with JSON and Moody’s CreditLens is an asset.
                                                    Strong analytical and problem-solving skills. High attention to details.
                                                    Excellent verbal and written communication skills.
                                                    Good time management and multitasking skills with minimal supervision.
                                                    +

                                                    Internship duration:

                                                    +

                                                    4 months (September – December 2021).

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    +

                                                    Application deadline:

                                                    +

                                                    May 4, 2021.

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    Inclusion and Equal Opportunity Statement:

                                                    +

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are

                                                    +

                                                    pleased to consider all qualified applicants for employment without regard to race, color,

                                                    +

                                                    religion, sex, sexual orientation, gender identity, national origin, age, disability, pro-

                                                    +

                                                    tected veterans status, Aboriginal/Native American status or any other legally-protected

                                                    +

                                                    factors. Disability-related accommodations during the application process are available

                                                    +

                                                    upon request.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/13088078/quantitative-analyst-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-21T15:47:05.480Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/68003976-quantitative-analyst-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13088078/quantitative-analyst-i-toronto-ca/,expired,2021-06-14T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -cef0311c-c005-47e3-8647-370ed9344348,68393046,Deloitte,"Machine Learning/NLP Lead, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-17T21:51:03.881Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Calgary; Kitchener; Montreal; Ottawa; Vancouver

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -
                                                    -

                                                    As an NLP Lead, you will lead the development of deep learning models specially in the NLP field to deliver best-of-breed solutions for clients’ business problems and work with large amounts of unstructured data on a granular level, from various data sources. You will take a hands-on approach in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                                                    -

                                                    You will also design analytical plans and communicate insights on client projects and provide mentorship in planning and data collection, assist in pitches and proposal bids, assist in different areas of project management, including client projects and internal initiatives.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • Deep learning experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                    • 6+ years relevant work experience with applying DL, especially for NLP and working with data in any industry
                                                    • Experience with social media analytics using either AWS, Azure or GCP
                                                    • Strong experience with Machine Learning agile project management and other statistical analytical techniques, data mining, and predictive models is required
                                                    • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                    • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required. Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    -

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,feed-importer@jobboard.io,,,,2021-07-18T14:00:06.666Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/68393046-machine-learning-nlp-lead-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,expired,2021-06-17T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -3e73c473-df8e-4554-b850-0ba770ca98df,68393047,Deloitte,"Data Scientist, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-17T21:51:03.933Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Ottawa; Vancouver

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -
                                                    -

                                                    You are someone with:
                                                    • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                    • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                    • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                    • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                    • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                    • Strong experience with Machine Learning Project management experience is an asset
                                                    • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                    • Enthusiastic about solving complex problems with a variety of analytical tools
                                                    • Professional services, consulting, or advisory experience is an asset
                                                    • Strong oral and written communication skills
                                                    • Interest in continuing to develop analytical and business development skills
                                                    • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                    • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                    -

                                                    Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    -

                                                    Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Data-Modeler%2C-Omnia-AI-ON-M5C-3G7/723745300/,feed-importer@jobboard.io,,,,2021-07-18T13:59:37.900Z,False,0,4,44,https://talenthub.vectorinstitute.ai/jobs/68393047-data-scientist-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Modeler%2C-Omnia-AI-ON-M5C-3G7/723745300/,expired,2021-06-17T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -624ec8ad-fd14-48c3-b060-df25cdadd9c7,68393069,RBC,Data Engineer,on_site,"Toronto, Ontario, Canada",2021-06-17T21:53:07.019Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    Wealth Management Applied Analytics and Innovation (WM AI) is responsible for developing and implementing a data and analytics strategy that delivers key insights to Senior Management, Advisors, and supporting functions across RBC Wealth Management. The team leverages deep experience in business strategy, Data Science, and visualization techniques to support its goal of empowering the organization with actionable insights to drive its ongoing success.

                                                    -

                                                    -

                                                    Within WM AI, the Data Science team is responsible for driving data reporting as well as advanced insight and innovation for the Wealth Management business by leveraging emergent big-data technologies, machine learning techniques, and data sources from across Wealth Management and RBC.

                                                    -

                                                    -

                                                    This Data Engineering role is an opportunity to perform product development, programming, ETL and database work in support of Data Science, Data Reporting & Visualization, and Product Development functions within a small team using technologies including but not limited to SQL Server, AWS, Python, C#, SSIS, AWS, Windows, Linux, and the Apache Hadoop ecosystem

                                                    -

                                                    -

                                                    What will you do?

                                                    +

                                                    How to apply:

                                                    +

                                                    Complete the online application and submit your resume at:

                                                    +

                                                    +

                                                    https://www.borealisai.com/en/...

                                                    +

                                                    +

                                                    For any questions and enquiries, please contact: mi.research@borealisai.com.

                                                    +

                                                    Please follow us on Twitter and LinkedIn for updates from Borealis AI.

                                                    ",,https://www.borealisai.com/en/applications/internship-application/,aimasters@vectorinstitute.ai,https://www.borealisai.com/en/careers/,,,2021-04-29T13:08:00.000Z,True,0,27,263,https://talenthub.vectorinstitute.ai/jobs/56477091-fall-2021-internships-at-borealis-ai,,expired,2021-03-30T13:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +24c14d6e-4376-48fb-9a9c-7a7ac5839d70,56815765,Loblaw Companies Ltd.,Machine Learning Software Developer,on_site,"1 Presidents Choice Circle, Brampton, ON",2021-04-01T15:27:08.959Z,"
                                                    +
                                                    +
                                                    +

                                                    Referred applicants should not apply directly to this role.

                                                    +

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    Why is this role important?

                                                    +

                                                    At Loblaws, we know that our customers expect the very best from us. Whether that means building the best, most innovative customer experience through targeted recommendations, or designing an app or design decision engines for logistics/resource optimizations in real time that will impact the lives of people across the country, we’re up for the challenge. The Data Insights & Analytics (DIA) division is transforming the methodologies used to personalize our customer's experience. To enable this, we build scalable, reusable data-driven ML approaches to build the state of the art. Join us in this dream to build & scale.

                                                    +

                                                    +

                                                    Our data story

                                                    +

                                                    +

                                                    As Canada’s largest retailer, with well-established and widely-used loyalty programs, we have an enviable wealth of data at our disposal – and it’s now time to deploy it in the service of an evolving and superior customer experience. The Solutions Engineering team here seeks passionate individuals to build & deploy scalable ML products, and who share the same purpose to fearlessly embark on this adventure with us. We are more than just analytics: we ship actual products, in the form of models that directly impact user experience.

                                                    +

                                                    +

                                                    We’re looking to increase the engineering horsepower of our analytics teams so that we can work seamlessly integrate with analytics teams to build & deploy models at scale. We’re looking for a solid software engineer with a data science background who is comfortable in both worlds, can contribute to ambitious ML-based projects, but also help us to write reliable microservices and stream-processing systems to deliver data and insights downstream at the pace required by the business. Experience working with NLP and/or ML techniques is preferred, though is secondary to your software engineering skillset for this role.

                                                    +

                                                    +

                                                    Responsibilities:

                                                    +
                                                      +
                                                    • Work cross-functionally with engineering, product, and data science/analytics teams to productionize the data science models at scale through a Service Oriented Architecture (SOA)
                                                    • +
                                                    • Develop robust, high performance batch/streaming solutions for transforming the various data sources produced by other parts of the business into training data, inputs to models, and actionable insights
                                                    • +
                                                    • Build & maintain feature pipelines to curate operational data as analytical features
                                                    • +
                                                    • Develop predictive models to help inform business decisions based upon shifts in consumer behavior.
                                                    • +
                                                    • Consult on analytical architectures and provide engineering support for build, dev and validation phases of data products within analytics teams.
                                                    • +
                                                    +

                                                    +

                                                    Minimum qualifications:

                                                    +

                                                    +

                                                    Technical Skills:

                                                    +
                                                      +
                                                    • BA/BS in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • +
                                                    • Proficient in at least 1 compiled language, and at least 1 other programming language
                                                    • +
                                                    • Familiar with the concepts and idioms of functional programming
                                                    • +
                                                    • Familiar with concepts and programming analogues in distributed compute vs. single threaded (Pandas/numpy/scikit-learn) and refactoring experience from the latter to former using (Pyspark/Dask/etc)
                                                    • +
                                                    • Demonstrable superiority working with spark ecosystem (RDD,Dataframe, Spark-SQL, koalas, Spark mlib) and ability to tune/optimize spark code.
                                                    • +
                                                    • Comfortable with at least some of the latest “big-data” tools, such as spark, kafka, hive, beam, etc.
                                                    • +
                                                    • Experience with at least one modern REST framework (flask/Sinatra/express/etc) +
                                                    • +
                                                    • Experience building with Microservices architecture
                                                    • +
                                                    • DAG orchestrations using workflow management systems – Airflow, Luigi
                                                    • +
                                                    • DevOps experience with Dockers, Git (Bitbucket/Gitflow), Jenkins
                                                    • +
                                                    • Experience with cloud environments such as Databricks/GCP/Azure
                                                    • +
                                                    +

                                                    +

                                                    Soft Skills:

                                                    +
                                                      +
                                                    • Critical thinking mind who likes to solve complex problems, loves programming, and cherishes to work in a fast-paced environment.
                                                    • +
                                                    • Ability to communicate effectively to internal and external stakeholders in writing and in person.
                                                    • +
                                                    • Extremely well organized, proactive.
                                                    • +
                                                    • Ability to multi-task and prioritize workloads.
                                                    • +
                                                    +

                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
                                                    • +
                                                    • Familiar with JVM languages and associated ecosystem
                                                    • +
                                                    • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
                                                    • +
                                                    • Experience with developing python and pyspark applications
                                                    • +
                                                    • Familiarity with MLOps tools (Mlflow/DVC/AzureML/etc) +
                                                    • +
                                                    +

                                                    Deployed machine learning models in GCP environment or basic familiarity to Kubernetes/Kubeflow.

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Machine-Learning-Software-Developer_R2000185891,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-04-22T15:33:58.581Z,False,0,6,26,https://talenthub.vectorinstitute.ai/jobs/56815765-machine-learning-software-developer-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Machine-Learning-Software-Developer_R2000185891,expired,2021-04-01T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Vector Quick Apply,Retail,Entry Level,Bachelors Degree,New Posting, +e562e730-a6c8-41b1-b54d-ab067522ebc7,56815767,Loblaw Companies Ltd.,"Sr. Data Engineering Analyst, Data Acquisition",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-04-01T15:27:09.758Z,"
                                                    +
                                                    +
                                                    +

                                                    Referred applicants should not apply directly to this role.

                                                    +

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    +

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    +

                                                    Why is this role important?

                                                    +

                                                    The Data & Analytics team at Loblaw is hiring a Data Acquisition Sr. Analyst with experience in acquiring and developing data assets and data monetization. Reporting to the Sr. Manager, Data Acquisition, as part of Data, Insight & Analytics team, the incumbent will be responsible for executing the company’s data acquisition strategy. Data acquisition is a critical enterprise function and we are building a world class team that will help to transform the company.

                                                    The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                    What You'll Do

                                                      -
                                                    • Design, develop, implement and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities.
                                                    • -
                                                    • Design and implement new or enhanced data processes or tools.
                                                    • -
                                                    • Ensure that your work is well-documented and developed in conjunction with other data engineers and the Data Visualization and Data Science teams.
                                                    • -
                                                    • Assist in current day-to-day support activities of Data Visualization and Data Science teams, including generating reporting data sets for business users using Tableau, Excel, or other delivery methods.
                                                    • -
                                                    • Be a part of a start-up like setting where fast-fail is highly valued, level of uncertainty is high and requirements are not all defined in advance.
                                                    • +
                                                    • Responsible for executing the technical strategy within data acquisition
                                                    • +
                                                    • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                    • +
                                                    • Test external data assets to ensure they meet the needs of internal stakeholders
                                                    • +
                                                    • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                    • +
                                                    • Create the proper controls and documentation to ensure compliance and ethical use of the acquired content
                                                    • +
                                                    • Data Privacy compliance
                                                    • +
                                                    • Ongoing relationship management of strategic third party acquired accounts
                                                    • +
                                                    • Subject matter expertise to data vendor landscape and data valuation.
                                                    • +
                                                    • Collaborate with the Legal organization to ensure proper usage
                                                    • +
                                                    • Support the day-to-day needs of business customers including the analytic organization
                                                    • +
                                                    • Managing projects from the starting point to the final execution
                                                    • +
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must Have:

                                                    +

                                                    What You'll Bring

                                                      -
                                                    • Bachelor’s Degree in Computer Science or related quantitative discipline (e.g., Engineering, Physics, Mathematics, Statistics, Economics)
                                                    • -
                                                    • 3+ years’ proven experience in database design, data manipulation and/or software engineering role using SQL Server or similar RDBMS environments, including stored procedures, views, and ETL processes (Extract, Transform, Load).
                                                    • -
                                                    • Experience using cloud-enabled technologies such as Amazon Web Services (AWS), specifically S3, Athena, EMR, RDS, or other AWS database related products.
                                                    • -
                                                    • Drive to ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, normalization, and transformation.
                                                    • -
                                                    • Demonstrated knowledge of advanced SQL and at least one procedural/object-oriented programming language (Python, C, C#, Java, etc).
                                                    • -
                                                    • -Excellent teamwork and collaboration skills. Good communication with peers and end users, to understand and translate the business requirements into data-related recommendations and solutions. -
                                                    • +
                                                    • University degree in a business, data, programming, or analytic field of study (e.g. Math, Computer Science, Software Engineering, Business, Economics, Media, Finance)
                                                    • +
                                                    • 3+ years of experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                    • +
                                                    • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                    • +
                                                    • Data programming experience (SQL, python, APIs)
                                                    • +
                                                    • Experience with scheduling tools (cron, Airflow)
                                                    • +
                                                    • Linux experience
                                                    • +
                                                    • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                    • +
                                                    • Strong Communication and interpersonal skills
                                                    • +
                                                    • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of collaboration
                                                    • +
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • +
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • +
                                                    • Strong detail orientation is essential in this role
                                                    • +
                                                    • A Team player and self-starter
                                                    -

                                                    -

                                                    Nice to Have:

                                                    +

                                                    What You Can Expect

                                                    We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                    Other Perks Of Joining Loblaw

                                                      -
                                                    • Experience with big data analytics technologies (e.g. Hadoop, Spark, Kafka); experience compiling, manipulating and analyzing large datasets, with a good understanding of data processing frameworks.
                                                    • -
                                                    • -Experience developing SQL Server Integration Services would be beneficial. Programming experience in Unix shell scripting. -
                                                    • -
                                                    • Experience with dev-ops and continuous deployment models (e.g. Docker, Jenkins).
                                                    • -
                                                    • -Experience using Git, Github, Zenhub. Experience in agile design methodologies and frameworks. -
                                                    • +
                                                    • Competitive compensation and benefits package
                                                    • +
                                                    • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                    • +
                                                    • A flexible work environment which values balance
                                                    • +
                                                    • Colleague Discount Program
                                                    • +
                                                    • Tuition reimbursement Program
                                                    • +
                                                    • Employee Share Ownership plan
                                                    • +
                                                    • Pension Plan
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +

                                                    +

                                                    If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                    We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                    +

                                                    How You’ll Succeed:

                                                    +

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    +

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    +

                                                    +

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    +

                                                    +

                                                    +

                                                    Employment Type:

                                                    Full time

                                                    +

                                                    +

                                                    Type of Role:

                                                    Regular

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +
                                                    +
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2021-04-15T20:34:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/56815767-sr-data-engineering-analyst-data-acquisition-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Sr-Data-Engineering-Analyst--Data-Acquisition_R2000201067,expired,2021-04-01T15:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Vector Quick Apply,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +53881164-3497-47f5-aceb-d8a8ca91bd30,56818309,Thomson Reuters,Senior Full-Stack Engineer,on_site,Toronto-Ontario-Canada,2021-04-01T15:39:22.473Z,"
                                                    +Job Description
                                                    +

                                                    Thomson Reuters is looking to add a Senior Full Stack Engineer to our Digital Technology team in our Toronto offices. The position requires someone to think independently and work well collaboratively across multiple disciplines, including working with various technology stacks (as needed). This is a chance to get in and immediately impact our new and expanding product lines. It is an opportunity to work for a great company with intelligent people on large systems worldwide.

                                                    +

                                                    +

                                                    As a Senior Full Stack Engineer, you can deliver high-quality work on time, in a fast-paced environment while collaborating and brainstorming with others in a dynamic team environment. A combination of solid planning, organization, time management skills, and handling multiple projects is critical. You will also contribute to the maintenance and support of production systems as necessary.

                                                    +
                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    In this opportunity as Senior Full Stack Engineer, you will:

                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • -
                                                    • A world-class training program in financial services
                                                    • +
                                                    • Build and Develop – software applications by understanding user needs, writing well-designed code, conducting validation/testing and executing the entire SDLC from design through release

                                                    • +
                                                    • Be a Team Player – work in a collaborative, team-oriented environment, share information, value diverse ideas, partner with cross-functional and remote teams

                                                    • +
                                                    • Be Curious & Innovative – continuously update yourself with next-generation technology, development tools, and contribute to process development practices

                                                    • +
                                                    • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment to deliver solutions against strict timelines

                                                    • +
                                                    • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                    • +
                                                    • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                    -

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 155 Wellington Street West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Required Travel (%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 06/30/2021
                                                    Platform: Wealth Management

                                                    Req ID: 376802
                                                    Ad Code(s):

                                                    -

                                                    -

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/376802/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-01T22:39:05.616Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/68393069-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/376802/Data-Engineer,expired,2021-06-17T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3db7c0b1-5a50-49ec-8322-a761c933b363,68393073,RBC,"Manager, Pricing Analytics",on_site,"Toronto, Ontario, Canada",2021-06-17T21:53:07.602Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    RBC Home Equity Financing (HEF) is the leading lender of residential mortgages in Canada, and RBC’s single largest business with over $300 Billion in assets.

                                                    -

                                                    As the Manager, Pricing Analytics, you will use advanced analytics to provide senior leadership insights into the impacts of pricing strategies on the HEF portfolio. Also, you will maintain reporting package that focuses on the pricing aspect of the HEF business that will help drive key decisions with a high degree of impact. Furthermore, you will leverage pricing optimization tools to generate monthly pricing proposal under Customized Pricing strategies.

                                                    -

                                                    -

                                                    What will you do?

                                                    +

                                                    +

                                                    About You

                                                    +

                                                    You are fit for the role of a Senior Full Stack Engineer if you have:

                                                      -
                                                    • Obtain an in-depth understanding of HEF products and segments in order to effectively provide value-added insights
                                                    • -
                                                    • Build reporting that measures the success of new pricing strategies under Customized Pricing and make strategy recommendations
                                                    • -
                                                    • Utilize pricing optimization tool to create pricing proposal based on previous results and current rate environment
                                                    • -
                                                    • Enhance the existing Tableau tools to incorporate on-going user feedback, deliver further efficiency through automation of processes and expose timely and relevant information to end-users
                                                    • -
                                                    • Work with the HEF Pricing team and others to advice on pricing decisions through use of reporting, leading edge analytics, measurement of key performance indicators, and early detection of trends & anomalies
                                                    • -
                                                    • Leverage data-driven tactics to provide key analytical and business insights to support senior leaders in managing the pricing strategy for the Home Equity portfolio
                                                    • -
                                                    • Create materials to communicate insights developed either through new reporting or specific stakeholder presentations and working sessions
                                                    • -
                                                    • Monitor the use of delegated pricing authorities to ensure compliance
                                                    • +
                                                    • 4+ years of experience with technologies: Python/Java, JavaScript, React, CSS and HTML 5, and other core languages across the technology industry using Front-end & Server-side programming technologies

                                                    • +
                                                    • Experience using Agile Methodologies primarily Scrum

                                                    • +
                                                    • Design skills, including significant knowledge of core libraries and common design patterns

                                                    • +
                                                    • Strong attention to detail and ability to prioritize work effectively

                                                    • +
                                                    • Ability to write clean, readable code that is easy to understand

                                                    • +
                                                    • Expertise using Object Oriented design patterns and software development methodologies

                                                    • +
                                                    • Customer-first approach to software development

                                                    • +
                                                    • Excellent written and verbal communication skills (ability to communicate effectively with technical staff, Business Analysts, management, and business team members)

                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    +

                                                    +

                                                    Desired Experience

                                                      -
                                                    • 2-4 years of experience in an analytical and reporting capacity supporting a line of business across major Financial Institution(s)
                                                    • -
                                                    • Strong analytical skills with the ability to interpret complex data and provide insights to senior management
                                                    • -
                                                    • Relational data modeling and strong SQL knowledge to develop semantic data model and/or extract data
                                                    • -
                                                    • Proficient in use of SAS, Tableau, Excel, PPT, or other data visualization tools
                                                    • -
                                                    • Self-starter—ability to work and think through problems and assignments in a self-directed manner
                                                    • -
                                                    • Excellent communication skills along with ability to partner effectively with and direct both internal and external partners
                                                    • +
                                                    • Experience using Search technologies such as Elastic Search, Sorl, Coveo, LucidWorks, ect..

                                                    • +
                                                    • Managing code and changes in a team environment to include experience with source control utilities, such as Git

                                                    • +
                                                    • Experience with Adobe Experience Manager (AEM) development.

                                                    • +
                                                    • Working and interacting with a geographically and culturally diverse team

                                                    • +
                                                    • Mentoring junior developers and translating requirements from business partners

                                                    • +
                                                    • Experience with XML processing and transformations (XPath, XSLT, etc.)

                                                    • +
                                                    • Other experience: Tomcat, Hibernate/JPA, UML, React, .NET

                                                    • +
                                                    • Cloud technology experience(e.g. AWS, Azure), or Docker

                                                    -

                                                    -

                                                    Nice-to-have

                                                    +

                                                    +

                                                    What's in it For You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • Passionate about the mortgage industry, and being part of a greater team
                                                    • -
                                                    • Knowledge of Linx, experience with RBC database and mortgage data, capable of coding in other programming languages (i.e. Python, Spark SQL, etc.)
                                                    • +
                                                    • +

                                                      Learning & Development: Exposure to a wide breadth of leading-edge technology

                                                      +
                                                        +
                                                      • Career growth - the ability to work on multiple projects and with various teams

                                                      • +
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                      • +
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                      -

                                                      -

                                                      What’s in it for you?

                                                      -

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      +
                                                    • +
                                                    • +

                                                      Benefits/Perks:

                                                        -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, fair compensation, commissions, and stock where applicable
                                                      • -
                                                      • Leaders who help your development through coaching and managing opportunities
                                                      • -
                                                      • Ability to make a difference and lasting impact
                                                      • -
                                                      • Work in a dynamic, collaborative, progressive, and high-performing team
                                                      • +
                                                      • Health benefits

                                                      • +
                                                      • Savings/investment plans

                                                      • +
                                                      • Paid time off (including time off to volunteer and extended parental leave)

                                                      -

                                                      -

                                                      -

                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 88 Queen Quay West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salaried
                                                      Required Travel (%): 0
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Application Deadline: 06/27/2021
                                                      Platform: Personal & Commercial Banking

                                                      Req ID: 376321
                                                      Ad Code(s):

                                                      -

                                                      -

                                                      -
                                                    ",,https://jobs.rbc.com/ca/en/job/376321/Manager-Pricing-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-28T22:14:08.127Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/68393073-manager-pricing-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/376321/Manager-Pricing-Analytics,expired,2021-06-17T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -b122e8a6-9a1a-448a-a924-c9756a5f73f7,68999672,TD Bank Group,Fixed Income Data Analyst,on_site,"Toronto, ON",2021-06-21T15:42:05.178Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                    -

                                                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                    -
                                                    + +
                                                  • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

                                                  • +
                                                  • Global Opportunities: We have employees in over 90 countries, working across 3 different industries

                                                  • +
                                                  • Your well-being: We offer programs that focus on making our lives healthier

                                                  • + +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/504896/Senior-Full-Stack-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-04-15T17:49:14.216Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/56818309-senior-full-stack-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/504896/Senior-Full-Stack-Engineer/,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, +a73ede40-1e38-4d2c-9520-c9e30718ed2e,56818321,Thomson Reuters,Front-end Software Engineer,on_site,Toronto-Ontario-Canada,2021-04-01T15:39:26.551Z,"
                                                    +Job Description
                                                    +

                                                    As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our Technology drives global markets and helps professionals around the world make decisions that matter. Whether solving today's challenges or tomorrow's aspirations, you will work with the industry's brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world's leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                    +

                                                    Reuters is seeking a Front-end Software Engineer to be a part of a small, high-performing team, reporting into Technology, with a dotted line to the Director of Global Customer Experience.

                                                    +

                                                    You will work on web interfaces and back-end services that support Reuters.com and our related mobile apps. We are currently investing in our next generation of Reuters.com to make content discovery quicker and more accessible, improving client curation and enabling our targeted audience to consume more relevant stories (to their interest areas) faster than ever before. We're looking for colleagues who relish the skill, creativity, and entrepreneurship that our multimedia products demand.

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    -

                                                    About this Role

                                                    -

                                                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                    -

                                                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                    -

                                                    -

                                                    As a Senior Business Insights Analyst, you will:

                                                    +

                                                    About the Role

                                                    +

                                                    As a Front-end Software Engineer, you will:

                                                      -
                                                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                                    • -
                                                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                    • -
                                                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                                    • -
                                                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                                    • -
                                                    • Execute on data requests accurately and within a timely manner
                                                    • -
                                                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                                    • -
                                                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                    • -
                                                    • Provides day-to-day support and delivery of analytics
                                                    • -
                                                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                                    • -
                                                    • Considered an authority within a given area
                                                    • -
                                                    • Oversee and/or independently perform tasks from end to end
                                                    • +
                                                    • Build and Develop – software applications by understanding user needs, writing well-designed code, conducting validation/testing and executing the entire SDLC from design through release

                                                    • +
                                                    • Be a Team Player – work in a collaborative, team-oriented environment, share information, diverse value ideas, partner with cross-functional and remote teams

                                                    • +
                                                    • Be Curious & Innovative – continuously update yourself with next-generation Technology, development tools, and contribute to process development practices

                                                    • +
                                                    • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment to deliver solutions against strict timelines

                                                    • +
                                                    • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                    • +
                                                    • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -What can you bring to TD?

                                                    -

                                                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +

                                                    About You

                                                    +

                                                    You're a fit for the role of a Front-end Software Engineer if you:

                                                      -
                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Five (5) or more years relevant experience
                                                    • +
                                                    • Have intermediate to advanced knowledge of JavaScript, HTML, CSS. (Preferred - React, Webpack)

                                                    • +
                                                    • Are experienced with A/B testing tools like Google Optimize, Optimizely, Convert, Etc.

                                                    • +
                                                    • Are experienced developing for mobile, desktop, and tablet

                                                    • +
                                                    • Are familiar with CSS frameworks, pre and post-processors, preferable CSS modules and SASS

                                                    • +
                                                    • Have an understanding of semantic HTML, SEO and Accessibility

                                                    • +
                                                    • Have experience with source control such as Git and code reviews / git-flow

                                                    • +
                                                    • Are experienced integrating with REST services and 3rd party APIs using AJAX / JSON

                                                    • +
                                                    • Have demonstrated ability to learn new tools, frameworks, and languages quickly

                                                    -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • Excellent verbal and written communication skills. Must be able to communicate complex technical concepts to diverse audiences effectively.

                                                    • +
                                                    • UX understanding

                                                    • +
                                                    • Good knowledge and understanding of browser architecture, the page rendering process, page loading and page size optimization techniques

                                                    • +
                                                    • NPM or similar dependency management tooling

                                                    • +
                                                    • Experience working on marketing sites

                                                    • +

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/13142417/fixed-income-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-24T15:48:54.050Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/68999672-fixed-income-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13142417/fixed-income-data-analyst-toronto-ca/,expired,2021-06-21T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -827d9b32-500c-4939-b9d4-739a3dc6545d,69026173,Scotiabank,"GBP - Data Analyst & BI Developer, Fall 2021 Co-op",on_site,"Toronto, ON, Canada",2021-06-22T02:32:09.362Z," - - -

                                                    GBP - Data Analyst & BI Developer

                                                    Fall 2021 (September to December)

                                                    -

                                                    Why work for Scotiabank?

                                                    -

                                                    Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                    -

                                                    This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                    -

                                                    Who We Are:

                                                    -

                                                    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                    -

                                                    Global Business Payments (GBP) offers comprehensive business banking solutions on a global basis to small business, commercial and corporate clients of the Bank. The Business Payments Product team is responsible for enhancing the customer experience for payment products while maximizing revenue. The Business Payments team manages the following digital products:

                                                    +

                                                    What's in it For You

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                      -
                                                    • Electronic Funds Transfer (EFT)
                                                    • -
                                                    • Wire Payments
                                                    • -
                                                    • Bulk Interac Transfer
                                                    • -
                                                    • Business Taxes
                                                    • +
                                                    • +

                                                      Learning & Development:

                                                      +
                                                        +
                                                      • Exposure to a wide breadth of leading-edge Technology

                                                      • +
                                                      • Career growth - ability to work on multiple projects and/or with various teams

                                                      • +
                                                      • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.

                                                      • +
                                                      • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone

                                                      -

                                                      Your Work Term At-A-Glance:

                                                      -

                                                      During your internship you will be a member of the Trade Finance Team working within Global Business Payments (GBP). This team provides GBP Trade Sales with robust analytics and reporting to drive new business, enhance the customer experience, and make better data-driven decisions. This role is perfect for you if you are both a technical as well as business-oriented individual as you will assist in developing Business Intelligence Reports, data mining and other ad-hoc duties

                                                      +
                                                    • +
                                                    • +

                                                      Benefits/Perks:

                                                        -
                                                      • Provide support to the GBP Trade Finance Product team by creating and maintaining analytical tools, Power BI / Tableau / Excel reports
                                                      • -
                                                      • Translate business needs into technical requirements, queries and modelling.
                                                      • -
                                                      • Maintain the intake of Sales data requests and action on their own when appropriate.
                                                      • +
                                                      • Health benefits

                                                      • +
                                                      • Savings/investment plans

                                                      • +
                                                      • Paid time off (including time off to volunteer and extended parental leave)

                                                      -

                                                      Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                      -

                                                      This role is for you if you are/have:

                                                      +
                                                    • +
                                                    • Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

                                                    • +
                                                    +

                                                    Global Opportunities:

                                                      -
                                                    • University degree in Computer Science or a related discipline.
                                                    • -
                                                    • Proficient with Microsoft Office ( Excel, Powerpoint, Word)
                                                    • -
                                                    • Excellent analytical, written and verbal communication skills
                                                    • -
                                                    • Experience using Business Intelligence (Tableau and Power BI) and CRM (Salesforce) tools.
                                                    • -
                                                    • Exposure, or experience with SQL, Python and R is an asset.
                                                    • -
                                                    • Exposure, or experience in financial business reporting and statistical modelling
                                                    • -
                                                    • Great attention to detail, proactive and responsive to short deadlines
                                                    • -
                                                    • Exposure to operational business processes, and well developed problem-solving and troubleshooting capabilities
                                                    • -
                                                    • Ability to juggle multiple concurrent projects
                                                    • -
                                                    • Ability to work both independently and collaboratively within a business team
                                                    • +
                                                    • We have employees in over 90 countries, working across 3 different industries

                                                    • +
                                                    • Your wellbeing: We offer a program that focuses on making our lives healthier

                                                    -

                                                    How do I Apply?

                                                    -

                                                    For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                                    -

                                                    1) Complete your PLUM Profile here

                                                    -

                                                    2) Save your PLUM Profile as PDF. Click here to learn how

                                                    -

                                                    3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                                    -

                                                    4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                                    -

                                                    Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                                    -

                                                    We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs

                                                    -

                                                    **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-GBP-Data-Analyst-&-BI-Developer%2C-Fall-2021-Co-op-ON/547206417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:32:11.022Z,False,0,5,37,https://talenthub.vectorinstitute.ai/jobs/69026173-gbp-data-analyst-bi-developer-fall-2021-co-op-at-scotiabank,,expired,2021-06-22T02:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -9544afce-1df1-43d9-a65f-8d3478c813e5,69026177,Scotiabank,"Senior Analyst, Business Data Architecture",on_site,"Toronto, ON, Canada",2021-06-22T02:34:49.916Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    Please note that this role is open to experienced-hire-applicants too, not just graduates. As such, please apply with a resume and not just your Plum profile. This is not a student or new graduate program opportunity.

                                                    +

                                                    +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/495826/Front-end-Software-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-05T19:33:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/56818321-front-end-software-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/495826/Front-end-Software-Engineer/,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Entry Level,No Degree,New Posting, +97075246-620e-4852-8ad8-4683e0f7f69d,56818354,Borealis AI,Machine Learning Researcher,on_site,"Toronto, + Montreal, + Waterloo, + Vancouver",2021-04-01T15:39:36.294Z,"

                                                    What’s the opportunity?

                                                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                    +

                                                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                    Your responsibilities include:

                                                    • Developing novel AI solutions that facilitate impactful products;
                                                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                    • Working with the development team to transfer research work into production;
                                                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                    • +

                                                    You’re our ideal candidate if you have:

                                                    • A passion for solving open problems using data and algorithms;
                                                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                    • Ability to formulate and drive a research project independently without close supervision;
                                                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                    • +

                                                    What’s in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • +

                                                    How to apply:

                                                    Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-05-05T14:44:58.754Z,False,2,0,81,https://talenthub.vectorinstitute.ai/jobs/56818354-machine-learning-researcher-at-borealis-ai,,expired,2021-04-01T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,PhD,New Posting, +f5e13188-78ec-46e2-933d-6d93d0562d34,57472244,Scotiabank,AI Engineer,on_site,"Toronto, ON, Canada",2021-04-07T15:29:37.709Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    Purpose:

                                                    +

                                                    Purpose:

                                                    -

                                                    The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                    +

                                                    We are a leading financial services provider in North America, Latin America, the Caribbean, Central America, and parts of Europe and Asia. We are Canada’s MOST international bank. We place value on creativity, curiosity, drive and the need to work collaboratively, and we're looking for future leaders who have a passion for making an impact and, most of all, getting things done. If this sounds like you, join our awesome team!

                                                    -

                                                    As part of the Data Architecture & Analysis team within the Data Office, the candidate will create Scotiabank Business Information Model (SBIM) and Reusable Authoritative Dataset (RAD), which standardize the way that business information and data are described and organized across the organization. The Sr. Analyst, Business Data Architecture role requires strong information organization and data analysis skills as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                    +

                                                    The Customer Insights, Data, and Analytics team at Scotiabank is focused on building high-value projects to enhance data-driven decisions across the bank. Our team consists of accomplished professionals who blend expertise in computer science, data, machine learning, and UI to deliver innovative solutions that drive the business.

                                                    -

                                                    The candidate will work closely with other business data architects, data architects, data analysts, data modelers, analytics teams, technology teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise business data pipelines and services.

                                                    +

                                                    WHO ARE WE LOOKING FOR?

                                                    +


                                                    • Do you love to solve problems?
                                                    • Does the idea of creating order out of chaos excite you?
                                                    • Do you obsess over the cutting-edge tools for data processing and analytics?
                                                    • Have you built insightful data-driven applications?

                                                    -


                                                    WHAT’S IN IT FOR YOU?

                                                    +

                                                    If you answered yes to any of the above questions, we are looking for you!

                                                    -

                                                    • Opportunity to make an impact in the digital transformation of Scotiabank
                                                    • Play a role in establishing the long-term data vision and contribute to the development of the Bank’s business data architecture
                                                    • Exposure across business lines, architecture and technology where data plays a critical role
                                                    • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

                                                    -

                                                    COMPETENCIES:

                                                    -


                                                    • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                    • Experience with information archiving and modeling, or knowledge in ontology modeling (e.g. RDF/S, OWL, SPARQL, SHACL)
                                                    • Strong customer focus and analysis skills to establish a deep understanding of the content and of business needs
                                                    • SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL, Sybase) would be a strong asset
                                                    • Programming and scripting skills (e.g., Java and/or Python) is an asset
                                                    • Subject area experience with Financial Industry products and services would be a strong asset: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                    • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance would be an asset
                                                    • Experience in data project implementation lifecycles would be an asset
                                                    • Experience with big data ecosystem tools (e.g. Hive, Pig, Sqoop and Spark) and NoSQL databases would be an asset
                                                    • Spanish would be an asset

                                                    +

                                                    KEY ACCOUNTABILITIES:

                                                    +


                                                    • Work with business teams across Global Banking and Markets (GBM) to understand their data-driven goals
                                                    • Collaborate with data scientists to integrate AI and ML-based models into client facing applications
                                                    • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                    • Mine data assets and discover impactful stories
                                                    • Experiment & learn!

                                                    -

                                                    KEY ACCOUNTABILITES:

                                                    -


                                                    • Analyzes and documents business terms that are used across the Bank and organizes them by their taxonomies
                                                    • Analyzes and documents the relationships between the business terms to build the Scotiabank Business Information Model (SBIM)
                                                    • Analyzes and documents the relationships between SBIM and data elements used across the organization, including the Reusable Authoritative Dataset (RAD)
                                                    • Supports the development of Scotiabank Data Domain Taxonomy
                                                    • Supports the SBIM related tooling evaluation
                                                    • Assists in cross-domain collaboration on business data architecture initiatives across the organization
                                                    • Maintains a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage across the bank
                                                    • Works in an Agile environment to develop Data Office capabilities

                                                    +


                                                    QUALIFICATIONS:

                                                    +


                                                    • Bachelor or graduate degree in Computer Science or Engineering, or related field or relevant experience
                                                    • Experience with or interest in Banking/Finance/Capital Markets is an asset
                                                    • Advanced programming skills in Python, Scala, R, and /or Java required. Experience with Spark is an asset
                                                    • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                    • Experience with visualization tools an asset: Power BI/Tableau
                                                    • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                    • High performance, pragmatic, detail-oriented
                                                    • Eligible to work in Canada


                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Data-Architecture-ON-M5C2V9/548060217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:34:51.703Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/69026177-senior-analyst-business-data-architecture-at-scotiabank,,expired,2021-06-22T02:34:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f8fb61cd-25f8-402c-8d15-5580b4c45147,69026178,Scotiabank,"Data Architect, Data Architecture & Analysis, Customer Insights, Data & Analytics",on_site,"Toronto, ON, Canada",2021-06-22T02:35:33.787Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    Purpose:

                                                    -

                                                    -

                                                    The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                    -

                                                    -

                                                    As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively and take a leading role in project-based initiatives to drive innovation and digital transformation throughout the Bank and Global Risk Management. The Data Architect role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                    -

                                                    -

                                                    The candidate will work closely with other data architects, data analysts, data modelers, analytics teams, technology teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data pipelines and services.

                                                    -

                                                    -

                                                    WHAT’S IN IT FOR YOU?

                                                    -

                                                    -

                                                    • Opportunity to make an impact in the digital transformation of Scotiabank
                                                    • Play a role in establishing the long-term data vision and contribute to the development of the Bank’s data architecture
                                                    • Exposure across business lines, architecture and technology where data plays a critical role
                                                    • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

                                                    -

                                                    -

                                                    COMPETENCIES

                                                    -


                                                    • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                    • Deep experience with data analysis, modeling, metadata and data consumption
                                                    • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                    • Hands-on experience with big data ecosystem tools such as SQL, YAML, Airflow and Spark
                                                    • Experience with NoSQL databases would be an asset
                                                    • Ability to understand and suggest solutions to data design on an enterprise level
                                                    • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                    • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance would be an asset
                                                    • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. IBM Information Governance Catalog), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch)
                                                    • Experience in data project implementation lifecycles
                                                    • Experience with collaboration tools such as Confluence

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-AI-Engineer-ON-M5H1H1/546237217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-04-15T20:29:00.000Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/57472244-ai-engineer-at-scotiabank,,expired,2021-04-07T15:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +a801a87e-ea68-4629-91de-6fd8a49f187b,57592436,Deloitte,"Software Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-08T15:39:43.820Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Montreal; Toronto

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +

                                                    As a Software Engineer, Omnia AI, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +

                                                    As a Software Engineer, you are passionate about developing custom solutions or enhancing packaged applications, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in developing workflows, integrations and APIs using frameworks like Spring framework, Flowable workflow engine, data ingestion frameworks, data pipeline development, Hadoop-based data lake architectures and orchestration. You are enthusiastic about continuous learning, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

                                                    +
                                                    • Develop integrations and APIs using Spring Framework. Develop workflows using Flowable workflow engine. Deploy and configure packaged applications like Collibra.
                                                    • Develop data ingestion pipelines to populate on-premises or cloud-based data lakes, No-SQL solutions etc.
                                                    • Translate business rules and requirements into data objects, produce associated data mappings and write abstracted, reusable code components accordingly
                                                    • Deploy and integration solutions on the cloud and on-premises.
                                                    • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • Strong development skills in Java. Groovy experience is a plus.
                                                    • Solid understanding of databases, application architectures, open source frameworks etc.
                                                    • Good understanding of data modeling, complex SQL queries, extracting and importing disparate data from source systems, and data manipulation based on requirements
                                                    • Exposure to Agile development methods in data-oriented projects
                                                    • Knowledge of Linux, shell scripting etc.
                                                    • +
                                                    +

                                                    Strong candidates will also have some of the following capabilities:

                                                    +
                                                    • Certifications in Java, AWS, Azure, GCP and/or Hadoop distributions
                                                    • Experience with implementation of data security, encryption, identity and access management across sources and environments
                                                    • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
                                                    • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, or related field is desired.
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    +

                                                    +

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,feed-importer@jobboard.io,,,,2021-05-08T18:40:59.246Z,False,0,8,61,https://talenthub.vectorinstitute.ai/jobs/57592436-software-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Software-Engineer%2C-Omnia-AI-ON-M5C-3G7/730117800/,expired,2021-04-08T15:39:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,No Degree,New Posting, +b18bb6fa-9fd1-4f83-9a34-cd25f696696e,57758897,RBC,Senior Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-04-08T21:50:27.473Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    The Senior Data Engineer is an individual contributor responsible for optimizing our data infrastructure and delivering data and reporting solutions, business intelligence and visualization. This role requires a high degree of knowledge across RBC Insurance’s lines of business, systems and data platforms. The role leverages its technical skills to partner with IT and the business line(s) to assess, research, analyze and develop business, technical and system data solutions ranging in small to highly complex in nature.

                                                    +

                                                    +

                                                    What will you do?

                                                    +

                                                    • Responsible for the design, development and management of data dashboards requests of medium to high complexity, ensuring timely and accurate responses to each request within acceptable time service standards by the business. (e.g. combining multiple source systems, writing unique or new code, discovering creative ways to deliver on business requirements)

                                                    +

                                                    • Advise stakeholders and business partners on the use and interpretation of custom built reports to highlight business intelligence.

                                                    +

                                                    • Identify opportunities for technical and process improvements for our systems that will increase application resiliency, improve data integrity and increase process efficiency

                                                    +

                                                    • Investigate and resolve application issues relating to environments or batch jobs, and supports Production and non-Prod implementations through code deployments

                                                    +

                                                    +

                                                    What will you need to be successful?

                                                    +

                                                    Must have

                                                    +

                                                    • Minimum undergraduate degree in Statistics/Mathematics, Finance, Computer Science, or a discipline that develops capability in data analytics and reporting

                                                    +

                                                    • Minimum 5 years’ experience working with financial/insurance products/services and corresponding data

                                                    +

                                                    • Solid working experience with very large relational databases and large volumes of data of various formats

                                                    +

                                                    • Advanced SAS, SQL programming demonstrating the use of efficient querying/datamining techniques

                                                    +

                                                    +

                                                    Nice to have

                                                    +

                                                    • Solid working experience with MS Office Professional Suite with emphasis on Visual Basic or Visual Basic for Applications

                                                    +

                                                    • Knowledge of statistical procedures and applied data validation mechanisms

                                                    +

                                                    • Strong knowledge of Dashboard Reporting methodology

                                                    +

                                                    • Solid knowledge of Unix/AIX v5, Teradata

                                                    +

                                                    • Experience with Tableau, Hadoop, Python

                                                    +

                                                    +

                                                    What's in it for you?

                                                    +

                                                    • A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans

                                                    +

                                                    • Competitive pay and high-earning potential

                                                    +

                                                    • All the tools, training, and team support you need to grow your career

                                                    +

                                                    • Flexible work/life balance options

                                                    +

                                                    • Sophisticated RBCI software tools to boost your productivity

                                                    +

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Mississauga
                                                    Address: 6880 Financial Dr
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Required Travel (%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 04/20/2021
                                                    Platform: Insurance

                                                    Req ID: 343180
                                                    Ad Code(s):

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/343180/Senior-Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-04-15T20:26:00.000Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/57758897-senior-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/343180/Senior-Data-Engineer,expired,2021-04-08T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +9542b26d-784d-4e80-8b60-801ff0ca0910,57806703,KPMG,"Blockchain Software Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-04-09T14:47:26.261Z,"

                                                    Overview

                                                    -

                                                    KEY ACCOUNTABILITES

                                                    -


                                                    • Develops Reusable Authoritative Dataset (RAD) by completing the data analysis tasks:
                                                    o Create data flow diagrams
                                                    o Data source schema analysis
                                                    o Source to Target Mapping using YAML Configuration files
                                                    o Data validation
                                                    • Contributes to data pipelines automation and optimization by collaborating with the Data Engineering & Platform Engineering teams
                                                    • Assists in special high priority projects that require data analysis service at the enterprise level
                                                    • Helps define target state data architecture and ensures alignment of new initiatives to that target state
                                                    • Assists in the selection of data architecture tools and technology decisions
                                                    • Assists in cross-domain collaboration on data architecture initiatives across the organization
                                                    • Maintains a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage across the bank
                                                    • Works in an Agile environment to develop Data Office capabilities

                                                    +

                                                    Why KPMG Digital?

                                                    +

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    +

                                                    KPMG Digital Toronto has an exciting opportunity for a Software Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                    +
                                                      +
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • +
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • +
                                                    • Have a permanent “figure it out” mindset
                                                    • +

                                                    -

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Architect%2C-Data-Architecture-&-Analysis%2C-Customer-Insights%2C-Data-&-Analytics-ON-M5C2V9/548060717/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:35:35.257Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/69026178-data-architect-data-architecture-analysis-customer-insights-data-analytics-at-scotiabank,,expired,2021-06-22T02:35:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -87dac819-651f-47bf-beb2-7eb939e770c3,69027487,Scotiabank,"Business Analyst, QA Regulatory Reporting, AML Risk",on_site,"Toronto, ON, Canada",2021-06-22T02:48:21.909Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    Video: Digital Opportunities

                                                    +


                                                    What you will do

                                                    +
                                                      +
                                                    • Develop and design end-to-end web services and web applications with responsive UI that provide business insights
                                                    • +
                                                    • Collaborate with Solution Specialists, Data Scientists, and Data Engineers in drafting the functional specifications required during the software development life cycle
                                                    • +
                                                    • Provide recommendations on how software can enhance user experience
                                                    • +
                                                    • Architect, code and debug problematic code
                                                    • +
                                                    • Provide expertise in cloud/on-prem/hybrid hosting solutions and full stack development
                                                    • +
                                                    • Participate in the research and evaluation of new tools and technologies that can help drive innovative solutions for our clients
                                                    • +
                                                    +


                                                    What you bring to the role

                                                    +
                                                      +
                                                    • Bachelor in Computer Science, Software Engineering, or related disciplines.
                                                    • +
                                                    • 6+ years of professional experience in a related field.
                                                    • +
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • +
                                                    • Demonstrated development experience in SQL, NoSQL, HTML & CSS, Python, JavaScript, Java
                                                    • +
                                                    • Proficiency building web applications using one or more JavaScript and CSS frameworks like AngularJS, React, Vue.JS, and Bootstrap
                                                    • +
                                                    • Experienced with back-end technologies like Node.JS, and Java
                                                    • +
                                                    • Proficient in using and designing REST APIs
                                                    • +
                                                    • Blockchain knowledge and integration experience (preferably with the Ethereum blockchain)
                                                    • +
                                                    • Knowledge of both digital assets and smart contracts is a decided asset
                                                    • +
                                                    • Ability to develop a variety of user-oriented applications to deliver content in intuitive and innovative ways, through desktop, mobile apps and web interfaces
                                                    • +
                                                    • Familiarity with programming methodologies such as version control (i.e. Git), testing, QA, Waterfall and Agile development methodologies
                                                    • +
                                                    • Experience in mainstream cloud services: AWS, MS Azure and GCP, microservices and serverless computing
                                                    • +

                                                    +

                                                    Keys to your success:

                                                    +
                                                      +
                                                    • Hungry for experience, and eager to learn in a rapidly changing industry
                                                    • +
                                                    • A curiosity that looks to redefine the norm and sees technology and innovation as a tool to open new doors and new opportunities
                                                    • +
                                                    • Passionate and capable of delivering solutions with a high attention to detail
                                                    • +
                                                    • An attitude of resourcefulness that inspires creativity
                                                    • +

                                                    +


                                                    Our Values, The KPMG Way

                                                    +

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    -

                                                    Profile

                                                    +

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    +

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    The Business Analyst is responsible for writing business requirements associated to the enhancements of the Electronic Fund Transfers Reports (EFTRs) and Large Cash Transaction Reports (LCTRs) by applying his/her leadership capabilities, experience, and knowledge of business analysis methodologies, tools, and governance.

                                                    -

                                                    The Business Analyst will support the Director and Senior Managers of the Canadian Policy and Regulatory Reporting Team by driving the delivery of critical technology and operational requirements. The support encompasses writing business requirements, supporting the development and maintenance of related project plans and executing standard governance processes, interfacing with the various project and business teams. The Business Analyst ensures all activities conducted follow the governing regulations, internal policies and procedures.

                                                    +

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6878?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-05-09T14:47:28.432Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/57806703-blockchain-software-engineer-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-04-09T14:47:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, +031a9734-e6a2-4dec-b38b-f8c7f0f04e30,57807678,Ada,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-04-09T14:52:36.740Z,"

                                                    A Leader in Automating Intelligent Industrial Operations

                                                    +

                                                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                                                    +

                                                    +

                                                    Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                                                    +

                                                    We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                                                    +

                                                    Things you should know about our product & teams

                                                    -

                                                    Accountabilities

                                                    +
                                                      +
                                                    • We use a microservices architecture built predominantly with Python
                                                    • +
                                                    • Our data pipelines are built on Kafka and we use Kubeflow to orchestrate our machine learning pipelines
                                                    • +
                                                    • We use Kubernetes to manage our cloud deployments in Azure
                                                    • +
                                                    • We use CircleCI to continuously integrate and deploy code changes
                                                    • +
                                                    +

                                                    +

                                                    What we’re looking for:

                                                    +

                                                    We’re looking for candidates with:

                                                      -
                                                    • Leads and drives a customer focused culture throughout the team to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                    • -
                                                    • Working under the leadership of the Director and the Senior Managers, the Business Analyst will be directly responsible for driving the overall workstream execution by:
                                                    • +
                                                    • Experience building high volume, scalable data pipelines using Kafka (or Pulsar)
                                                    • +
                                                    • Passionate about Kappa architectures and excited to work with IoT data streams
                                                    • +
                                                    • Familiar with what can go wrongin a data pipelineand how to design for fault-tolerance, monitoring and integrity testing
                                                    • +
                                                    • Solid knowledge of Python, plus one of Javascript, Java, or Go
                                                    • +
                                                    • An understanding of microservice architecture and distributed system design
                                                    • +
                                                    • A proven track record of delivering well-designed and tested software
                                                    -

                                                    - Creating and maintaining detailed business requirements documents

                                                    -

                                                    - Creating and maintaining all related business and project requirements documentation

                                                    -

                                                    - Working with other AML Project leads and business execution teams, both advisory and challenge functions, deep diving into workstream issues to drive resolutions

                                                    +

                                                    +

                                                    ​Who you are:

                                                    +

                                                    +

                                                    In general, we’re looking for developers that exemplify these qualities:

                                                      -
                                                    • Ensure documented processes and actual practices are aligned with enterprise policies and FINTRAC standards
                                                    • -
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                    • -
                                                    • Delivering key insights from an AML Risk execution perspective to inform executive leadership
                                                    • -
                                                    • Providing input into the AML Risk plan view and required decisions / approaches in relations to assigned work packages
                                                    • -
                                                    • Coordinating with all relevant stakeholders
                                                    • -
                                                    • Identifying and raising any Enterprise activities that may be common across the business lines
                                                    • -
                                                    • Support the Director of the Canadian Policy and Regulatory Reporting, AML Risk with all on-going and ad-hoc program requirements to ensure successful delivery
                                                    • -
                                                    • Work with other key stakeholders within AML on as needed basis to ensure meeting requirements from program delivery, and reporting perspectives
                                                    • -
                                                    • Participate in the operational implementation processes by assisting in the development of communications and publications of audit closure memos, matrixes and all supporting documentations
                                                    • -
                                                    • Develop and maintain a sound knowledge and understanding of the Bank’s AML/ATF policies and procedures relating to the reporting of LCTRs and EFTRs (SWIFT and non- SWIFT)
                                                    • -
                                                    • Maintain ongoing knowledge of compliance regulations specific to the Proceeds of Crime Money Laundering and Terrorist Financing Act (PCMLTFA), keeping abreast of regulatory changes and impacts to the Bank’s first line operations
                                                    • +
                                                    • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                                                    • +
                                                    • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
                                                    • +
                                                    • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
                                                    • +
                                                    • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.

                                                    -

                                                    -

                                                    Functional Competencies

                                                    -

                                                    +

                                                    Your Benefits

                                                    Some of the benefits you can expect as part of our team include:

                                                      -
                                                    • Demonstrates strong strategic thinking, planning and execution ability
                                                    • -
                                                    • Proven creative, self-starter, results-oriented, and highly motivated individual with good analytical skills in order to apply this knowledge to improve existing solutions and assist in the development of AML/ATF strategies
                                                    • -
                                                    • Knowledge of trends and best practices in respect of internal controls, in relation to regulatory reporting to FINTRAC
                                                    • -
                                                    • Excellent oral, written and presentation communication skills
                                                    • +
                                                    • Awesome team and culture (every day)
                                                    • +
                                                    • Generous time off, including vacation and personal days to help rejuvenate
                                                    • +
                                                    • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
                                                    • +
                                                    • Flexible office policy, with options to work remotely
                                                    • +
                                                    • Attend Conferences to extend your knowledge and skills
                                                    • +
                                                    • Company-provided MacBooks and standing desks
                                                    • +
                                                    • Top technology and tools to excel at your role
                                                    • +
                                                    • Free team lunches
                                                    +

                                                    +

                                                    Why Join Canvass?

                                                    +

                                                    +

                                                    Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

                                                    +

                                                    +

                                                    What's it like working at Canvass?

                                                    +

                                                    +

                                                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                                                    +

                                                    +

                                                    Apply Now

                                                    +

                                                    +

                                                    Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                                                    -


                                                    Education / Experience

                                                    -

                                                    +

                                                    You can also follow us on Twitter or LinkedIn to learn more about us.

                                                    +

                                                    Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                    +

                                                    Apply for this position

                                                    +

                                                    Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

                                                    ",,https://www.canvass.io/senior-data-engineer-job,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-04-15T20:52:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/57807678-senior-data-engineer-at-ada,,expired,2021-04-09T14:52:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +187c40f2-3b85-4138-85a8-0e2bf3cde7db,58155575,Unity Health Toronto,Research Coordinator I,full,"Toronto, ON, Canada",2021-04-12T14:55:15.914Z,"

                                                    The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto.

                                                    +

                                                    The DSAA team at Unity Health Toronto is currently seeking a full timr Research Coordinator I to support the Program Manager with project and organizational administration for a 12 month contract. Tasks will include ongoing coordination of activities pertaining to DSAA projects, including task and timeline management, project documentation, research ethics applications and literature searches. Other tasks may include assisting with research contracts, assisting Investigators and the Program Managers with the initiation of new projects and presenting project related information including written project reports where necessary.

                                                    +

                                                    The ideal candidate for this position is highly motivated, organized, attentive to detail, and demonstrates excellent communication and problem solving skills. The Research Coordinator I will report to the Program Manager and Program Directors.

                                                    +

                                                    Duties & Responsibilities:

                                                      -
                                                    • A recognized under-graduate degree in a business or technical discipline
                                                    • -
                                                    • 2+ years of experience as a Business Systems Analyst in an agile or lean environment
                                                    • -
                                                    • Project Management certification is an asset
                                                    • -
                                                    • ACAMS certification an asset
                                                    • +
                                                    • Assisting in setting project goals
                                                    • +
                                                    • Coordinating project activities
                                                    • +
                                                    • Assist investigators and the program manager with the implementation of project management protocols
                                                    • +
                                                    • Performing general office duties e.g. filing, faxing, mailings, courier services, photocopying, etc.
                                                    • +
                                                    • Conduct literature reviews, as well as internet searches for project related information
                                                    • +
                                                    • Interact with various departments such as pharmacy, laboratories, medical records, etc.
                                                    • +
                                                    • present research related information, including written study reports when necessary
                                                    • +
                                                    • Create and maintain project documentation
                                                    • +
                                                    • Monitor and track project timelines and tasks
                                                    • +
                                                    • Maintain and update project related tracking documents
                                                    • +
                                                    • Maintain and organize electronic files
                                                    • +
                                                    • Prepare REB documents and applications, as well as research contract forms
                                                    • +
                                                    • Complete other tasks as assigned
                                                    -


                                                    -

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    +

                                                    Qualifications:

                                                    +
                                                      +
                                                    • Minimum Bachelor’s degree from an accredited university required
                                                    • +
                                                    • Experience with project management and administrative tasks required
                                                    • +
                                                    • Excellent attention to detail and proven ability to learn new skills
                                                    • +
                                                    • Familiarity with data science and medical terminology preferred
                                                    • +
                                                    • Excellent communication (verbal/written) and interpersonal skills are necessary
                                                    • +
                                                    • Ability to work independently and as part of a team
                                                    • +
                                                    • Excellent organizational skills to manage multiple tasks in a timely manner and flexibility to adapt to changing workload
                                                    • +
                                                    • Ability to diagnosis problems and creatively solve issues
                                                    • +
                                                    • Professionalism and self-motivation
                                                    • +
                                                    ",michaelia.banning@unityhealth.to,,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2021-05-15T18:58:00.000Z,False,1,0,76,https://talenthub.vectorinstitute.ai/jobs/58155575-research-coordinator-i-at-unity-health-toronto,,expired,2021-04-12T14:55:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Entry Level,Bachelors Degree,New Posting, +1b7be78c-0ba2-4bc6-bc84-d54d133ab69b,58161461,Thomson Reuters,Applied Research Scientist - NLP,on_site,Toronto-Ontario-Canada,2021-04-12T17:43:20.128Z,"
                                                    +Job Description

                                                    Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval and Natural Language Processing.

                                                    -

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Business-Analyst%2C-QA-Regulatory-Reporting%2C-AML-Risk-ON-M5C2W1/548303517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:48:23.833Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/69027487-business-analyst-qa-regulatory-reporting-aml-risk-at-scotiabank,,expired,2021-06-22T02:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -a67d47e5-0678-48a9-acf5-7efee6f34aac,69027488,Scotiabank,"Analyst, Client Insights and Analytics (Contract)",on_site,"Toronto, ON, Canada",2021-06-22T02:49:04.996Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                    -

                                                    Analyst, Client Insights and Analytics, Global Banking and Markets

                                                    -

                                                    12 month contract position

                                                    Why work for Scotiabank?

                                                    -


                                                    Scotiabank is among the largest banks in the world and the most international bank in Canada. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together with our Digital Factories around the world, we are dedicated to helping our 25 million customers become better-off.

                                                    +

                                                    As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across various AI research areas and Engineering and Design to drive the company's digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance state-of-the-art support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                                    -

                                                    This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank!


                                                    Global Banking and Markets

                                                    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                    -


                                                    Position:

                                                    As the Analyst, you will contribute to the overall success of the Client Insights & Analytics group within Global Banking & Markets globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    -

                                                    The Client Insights & Analytics team exists to support data driven decision making within the Global Banking and Markets division.

                                                    -

                                                    The mandate of the team is to:

                                                    +

                                                    About the role

                                                    +

                                                    In this opportunity as an Applied Research Scientist, you will:

                                                      -
                                                    • Increase Scotiabank’s relevance with corporate and institutional clients
                                                    • -
                                                    • Develop client strategies with the business lines and drive its execution through data analytics
                                                    • -
                                                    • Support the monitoring of financial performance against plans, initiatives and objectives
                                                    • -
                                                    • Leverage internal and external client data to facilitate opportunity identification
                                                    • -
                                                    • Define and deliver CRM software enhancements that drive business value
                                                    • -
                                                    • Liaise with technology to enhance data quality and integrity
                                                    • +
                                                    • Experiment and Develop: You will execute the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                    • +
                                                    • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                    • +
                                                    • Deliver: You will be accountable for timely, well-managed deliverables.

                                                    • +
                                                    • Innovate: be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                    • +
                                                    • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                    -


                                                    As part of the Global Banking & Markets Client Insights and Analytics team, you will learn the foundations of client analytics though hands on data collection and analysis. You will analyze business processes, liaise with various groups within GBM, and develop insightful and sustainable Business Intelligence reporting to meet business needs.

                                                    This role is perfect for you if you are a technical individual who likes to work with data, are highly self-motivated, and thrive in a dynamic, challenging and fast-paced environment.

                                                    This position will offer you an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, investment banking, corporate banking analytics space.
                                                    Accountabilities

                                                    +

                                                    +

                                                    About you

                                                    +

                                                    You are a fit for the role of an Applied Research Scientist if you have:

                                                      -
                                                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                    • -
                                                    • Define and maintain the data integrity and data architecture
                                                    • -
                                                    • Perform data analysis to identify data integrity issues/trends and report findings
                                                    • -
                                                    • Configure and execute data cleansing activities
                                                    • -
                                                    • Develop and implement data correction plans to address issues as they arise
                                                    • -
                                                    • Ensure that automated data imports/exports contain appropriate data and run in a timely manner
                                                    • -
                                                    • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                                    • -
                                                    • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                                    • -
                                                    • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                                    • -
                                                    • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                                    • -
                                                    • Oversee and review the process and look for improvement
                                                    • -
                                                    • Support ad hoc analysis requests as required
                                                    • -
                                                    • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                                    • -
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                    • -
                                                    • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                    • -
                                                    • Champions a high-performance environment and contributes to an inclusive work environment.
                                                    • +
                                                    • Ph.D. in a relevant discipline or Master's plus a comparable level of experience - At least one year of industry experience building IR/NLP/ML systems

                                                    • +
                                                    • Solid software engineering skills for prototyping

                                                    -

                                                    Requirements

                                                    +

                                                    Preferred qualifications

                                                      -
                                                    • Undergraduate degree in finance/economics/math/computer science.
                                                    • -
                                                    • 2+ years of experience in client analytics, data analytics, business analysis, financial reporting or a similar role
                                                    • -
                                                    • Minimum 2 years of experience in data analysis/data management preferably with a CRM system
                                                    • -
                                                    • Good understanding of information processing as it relates the business
                                                    • -
                                                    • Excellent knowledge of IT/data best practices and database concepts
                                                    • -
                                                    • Strong Excel/VBA skills
                                                    • -
                                                    • Strong understanding of 3rd party data (such as Bloomberg, Capital IQ) and API integration
                                                    • -
                                                    • Experience with Tableau or Power BI reporting, Salesforce, Python are preferred
                                                    • -
                                                    • Strong experience with process implementation and improvement
                                                    • -
                                                    • Detail-oriented and customer-focused
                                                    • -
                                                    • Knowledge of data reconciliation, management, aggregation and analysis techniques
                                                    • -
                                                    • Ability to be a self-starter who excels working independently with minimal supervision
                                                    • -
                                                    • Good understanding of statistical theory and applications
                                                    • -
                                                    • Understanding of financial measures of risk/return; knowledge of bank credit analysis process is a plus
                                                    • -
                                                    • Strong judgment skills in order to make recommendations, establish priorities and provide leadership
                                                    • +
                                                    • 5+ years academic or industry experience building IR or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                    • +
                                                    • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                    • +
                                                    • Proven communication skills and ability to work on deliverables independently

                                                    • +
                                                    • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Client-Insights-and-Analytics-%28Contract%29-ON-M5H1H1/548309517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:49:06.534Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/69027488-analyst-client-insights-and-analytics-contract-at-scotiabank,,expired,2021-06-22T02:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c3c3f2b9-e575-4468-9327-b27c59bf3c9f,69027679,TD Bank Group,WEALTH PRODUCT INSIGHTS & ANALYTICS INTERN/CO-OP,on_site,"Toronto, ON, Canada",2021-06-22T02:50:19.137Z,"

                                                    Company Overview

                                                    -

                                                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                    -

                                                    TD’s Colleague Promise: A better you. A better us.

                                                    -

                                                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                    -

                                                    Department Overview

                                                    -

                                                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                    -

                                                    TD’s Colleague Promise: A better you. A better us.
                                                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                    -

                                                    Department Overview
                                                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.
                                                    Our Momentum Program, is offered with select Co-Op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                    +

                                                    What's in it for you

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                      -
                                                    • Leadership Talks with key Leaders from across the organization,
                                                    • -
                                                    • Lunch and Learns on topics such as Innovation,
                                                    • -
                                                    • Diversity and Inclusion and Personal Branding and so much more
                                                    • +
                                                    • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                    • +
                                                    • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                    • +
                                                    • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                    • +
                                                    • Perks: Social events & activities, employee discount programs

                                                    • +
                                                    • Social Impact: Paid time off for volunteering virtually or in your community

                                                    -

                                                    Job Description

                                                    +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/503112/Applied-Research-Scientist-NLP/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-15T19:00:07.116Z,False,0,5,36,https://talenthub.vectorinstitute.ai/jobs/58161461-applied-research-scientist-nlp-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/503112/Applied-Research-Scientist-NLP/,expired,2021-04-12T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,PhD,Re-Posting an Expired Job, +fa241bfe-4f80-4d69-8bf5-dd323f0f784e,58161465,Thomson Reuters,Applied Research Scientist - Machine Learning,on_site,Toronto-Ontario-Canada,2021-04-12T17:43:22.161Z,"
                                                    +Job Description

                                                    Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art Machine Learning and Natural Language Processing.

                                                    +

                                                    +

                                                    What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                    +

                                                    +

                                                    As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across various AI research areas and Engineering and Design to drive the company's digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance state-of-the-art support of high-growth products and serve Thomson Reuters customers in new and exciting ways.

                                                    +

                                                    +

                                                    About the role

                                                    +

                                                    In this opportunity as an Applied Research Scientist, you will:

                                                      -
                                                    • -Investment and Product Analysis:
                                                        -
                                                      • Develop investment analysis and insights to support product due diligence and investment risk management efforts around the Alternative Investment product shelf
                                                      • -
                                                      • Provide subject matter expertise to develop strategic topic-based deep dives on select product issues, with an emphasis on competitive intelligence and inorganic opportunity scanning
                                                      • -
                                                      • Develop automated reporting on current and forecast product issues at the firm, advisor and client level to highlight securities contributing to risk concentrations, particularly as it relates to Alternative Investments
                                                      • -
                                                      • Proactively research market, industry and investment trends, and regulatory changes to support various product management initiatives and identify sources of potential investment risk
                                                      • -
                                                      • Actively participate in various workstreams with internal partners to understand business objectives, required KPIs and translate them into data collection and data analysis strategies
                                                      • -
                                                      -
                                                    • -
                                                    • -Data Science/ Advanced Analytics:
                                                        -
                                                      • Provide subject matter expertise and create data driven solutions by applying a variety of analytic techniques to build out complex models
                                                      • -
                                                      • Develop a thorough understanding of the databases and systems landscape at TD wealth and support the optimization of data extraction/validation processes
                                                      • -
                                                      • Use advanced analytic tools to develop repeatable and reliable workflows for extracting, compiling and summarizing wealth product/investment data to drive operational efficiency and increase productivity
                                                      • -
                                                      • Participate in projects by analyzing approaches, processes and tools to support the Wealth Product & Strategy Teams’ data requirements
                                                      • -
                                                      -
                                                    • -
                                                    • -Visualization:
                                                        -
                                                      • Provide data visualization support by employing various techniques to support the business in interpreting data and communicating implications and /or recommendations to the business
                                                      • -
                                                      • Provide data visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations
                                                      • -
                                                      • Support the production and enhancement of dashboards, regular and ad-hoc reports, analysis, and insights to drive data-driven decision making
                                                      • -
                                                      -
                                                    • -
                                                    • -Other:
                                                        -
                                                      • Demonstrate strong initiative, and use strong communication, analytical and problem-solving skills to add value to each initiative, project, or team you are assigned to.
                                                      • -
                                                      • Participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes and applications which support our key businesses.
                                                      • -
                                                      -
                                                    • +
                                                    • Experiment and Develop: You will drive the entire model development lifecycle, building, testing and delivering high-quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                    • +
                                                    • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                    • +
                                                    • Deliver: You will be accountable for timely, well-managed deliverables.

                                                    • +
                                                    • Innovate: be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                    • +
                                                    • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                    -

                                                    Requirements

                                                    +

                                                    +

                                                    About you

                                                    +

                                                    You are a fit for the role of an Applied Research Scientist if you have:

                                                      -
                                                    • Majoring in Finance, Economics, Computer Science, Mathematics, Engineering, Quantitative Analysis, Statistics, Data Analytics or a related field.
                                                    • -
                                                    • Experience with Alteryx and SQL programming
                                                    • -
                                                    • Strong statistical/analytics skills & interest/knowledge of investment management
                                                    • -
                                                    • Excellent verbal & written communication, with ability to work collaboratively and effectively in a team environment.
                                                    • -
                                                    • Enrolment in the CFA program is a plus
                                                    • -
                                                    • Experience with VBA, R, Python, Spark, Scala, or other programming languages is a plus
                                                    • +
                                                    • Ph.D. in a relevant discipline or Master's plus a comparable level of experience

                                                    • +
                                                    • At least one-year industry experience building ML/NLP systems

                                                    • +
                                                    • Solid software engineering skills for prototyping

                                                    -

                                                    Additional Information

                                                    -

                                                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                    +

                                                    Preferred qualifications

                                                      -
                                                    • This position is a 4-month work term and will commence Sept 7 – Dec 23, 2021.
                                                    • -
                                                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                    • -
                                                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                    • -
                                                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                    • -
                                                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change
                                                    • +
                                                    • 5+ years academic or industry experience building ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                    • +
                                                    • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                    • +
                                                    • Outstanding communication, organization, and data-driven decision making

                                                    • +
                                                    • Publications at workshops or conferences such as ACL, EMNLP, KDD, ICML, NeurIPS, or similar

                                                    -

                                                    Hours

                                                    -

                                                    37.5

                                                    -

                                                    Start Date

                                                    -

                                                    – Fall

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    ",,https://jobs.td.com/en-CA/jobs/13123009/wealth-product-insights-analytics-intern-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-07-22T02:50:21.162Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/69027679-wealth-product-insights-analytics-intern-co-op-at-td-bank-group,,expired,2021-06-22T02:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -6e9756c5-576f-44e5-b1fd-88aaf3e12ff6,69027682,BMO Financial Group,"Software Developer, Fall 2021 (Co-op/Internship) - 8 Months",on_site,"Toronto, ON, Canada",2021-06-22T02:59:00.966Z,"

                                                    Address:

                                                    -

                                                    100 King Street West

                                                    -

                                                    -

                                                    -

                                                    Job Family Group:

                                                    -

                                                    Technology

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                    -

                                                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                    -

                                                    -

                                                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @bmooncampus & Instagram @bmo_on_campus.

                                                    -

                                                    -

                                                    Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                    -

                                                    -

                                                    To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                    -

                                                    -

                                                    -

                                                    Understands that the success of a developer is to understand the core business processes of the business unit and business requirements as well as the architecture patterns and technology strategy (e.g., Transformation, SmartCore, DevOps). Conceive and write detailed software implementations/code while ensuring that their code/configurations adhere to the security, logging, error handling, and performance standards and non-functional requirements. Writes, configures, and integrates code to create the software that aligns with architecture patterns and technology strategy. Understands the implications of various components (including technology strategy & architecture) to the overall design of a program, system, or eco-system. Evaluates new technologies for fit with the program/system/eco-system and the associated upstream and downstream impacts on process, data, risk (e.g., security). Works toward the objective of defect free software. Ensures that systems functionally meet requirements, align with architecture and promote the development of common assets. Supports the resolution of production issues and problems. Makes recommendations to improve BMO processes & systems.

                                                    +

                                                    What's in it for you

                                                    +

                                                    At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                      -
                                                    • Supports research and development of development frameworks, and definition of standards.
                                                    • -
                                                    • Leads and implements initiatives as required to deliver business objectives.
                                                    • -
                                                    • Conducts independent analysis and assessment to resolve strategic issues.
                                                    • -
                                                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                    • -
                                                    • Monitors and tracks performance, and addresses any issues.
                                                    • -
                                                    • Reviews the work of other team members as required.
                                                    • -
                                                    • Provides input into the planning and implementation of operational programs.
                                                    • -
                                                    • Decomposes business requirements and translates them into detailed design specifications and code.
                                                    • -
                                                    • Interacts with key business & technology stakeholders to define, analyze, and deliver requirements that reflect the needs of both the business and end-customers.
                                                    • -
                                                    • Assesses the costs and benefits for different solutions and recommend/decide on appropriate designs.
                                                    • -
                                                    • Designs solutions, writes code, performs unit testing, develops appropriate artefacts / documentation, and facilitates final delivery.
                                                    • -
                                                    • Supports production issues, includes independently completing root-cause analysis and diagnosis.
                                                    • -
                                                    • Devises new algorithms and data structures for target environment and platform attributes in alignment with architectural patterns.
                                                    • -
                                                    • Builds solutions that are supportable, scalable and achieve our aspiration of common assets.
                                                    • -
                                                    • Recommends or automates approaches to streamline and integrate technological processes and/or systems to improve operational efficiency and effectiveness.
                                                    • -
                                                    • Supports the management of specific project deliverables & outcomes.
                                                    • -
                                                    • Identifies opportunities to strengthen the development capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                                    • -
                                                    • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                    • -
                                                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                    • -
                                                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                    • -
                                                    • Works independently on a range of complex tasks, which may include unique situations.
                                                    • -
                                                    • Broader work or accountabilities may be assigned as needed.



                                                      Qualifications:

                                                      +
                                                    • +

                                                      Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                      +
                                                      • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                    • -
                                                    • As a full-time employee, we would require 2-4 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn. Proficient level of knowledge in domain.
                                                    • -
                                                    • Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience.
                                                    • -
                                                    • Knowledge of required programming languages and can code with little oversight.
                                                    • -
                                                    • Knowledge of technical/business environment and processes.
                                                    • -
                                                    • Understand functional aspects and technical behavior of the underlying operating system, development environment, and deployment practices.
                                                    • -
                                                    • Have facility with and understanding of the ecosystem that code operates in.
                                                    • -
                                                    • Technical proficiency gained through education and/or business experience.
                                                    • -
                                                    • Verbal & written communication skills - In-depth.
                                                    • -
                                                    • Collaboration & team skills - In-depth.
                                                    • -
                                                    • Analytical and problem solving skills - In-depth.
                                                    • -
                                                    • Influence skills - In-depth.
                                                    • -
                                                    • Data driven decision making - In-depth.
                                                    • +
                                                    • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                    • +
                                                    • Perks: Social events & activities, employee discount programs

                                                    • +
                                                    • Social Impact: Paid time off for volunteering virtually or in your community

                                                    +

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    +

                                                    +

                                                    Accessibility

                                                    +

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    +

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/503433/Applied-Research-Scientist-Machine-Learning/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-05-15T19:01:33.897Z,False,0,5,80,https://talenthub.vectorinstitute.ai/jobs/58161465-applied-research-scientist-machine-learning-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/503433/Applied-Research-Scientist-Machine-Learning/,expired,2021-04-12T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,PhD,New Posting, +be07658e-f916-4666-8c45-513ee81d2880,58540157,Intact Financial Corporation,"Senior Python Developer (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-04-14T17:43:20.414Z,"
                                                    +

                                                    How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you visit our team, you'll be in for quite the surprise!

                                                    Our team merges the speed and culture of a start-up with the resources and means of a large corporation. Located in downtown Montreal, we are a growing team, passionate about innovation and advanced technologies.

                                                    You dream of exciting challenges at one of Canada’s top 100 places to work? Join our Artificial Intelligence team and take part in building the next generation of software products.


                                                    +
                                                    Your Job
                                                    +

                                                    Hiring Manager : Van Tram

                                                    Workplace : Toronto (700 University Ave)

                                                    Your mission within our Innovation Lab :

                                                    • Participate in the design and application design around an event-oriented architecture.
                                                    • Help our testers in setting up component and integration tests.
                                                    • Participate in the development and evolution of backend components for the execution of our algorithms.
                                                    • Participate in the technological watch and definition of development standards to ensure system efficiency, resilience and sustainability.
                                                    • Optimize the platform for maximum velocity and scalability.
                                                    • Optimize and prioritize development tasks in collaboration with the team.
                                                    • Ensure the high level of quality of the work delivered.
                                                    • Strengthen the development team productivity.
                                                    • Oversee the development of appropriate tactics to achieve objectives.
                                                    • Support and be proactively involved in problem situations or issues.
                                                    • Play a Technical Leader / Mentor role for Squad members.

                                                    +
                                                    Your Skills
                                                    +

                                                    • Bachelor’s in computer engineering, computer science or related discipline, with a minimum of 5 years of significant experience in development.
                                                    • Proficient in python language and a good understanding of programming languages such as Java, C# or C++.
                                                    • A very good understanding of machine learning and artificial intelligence
                                                    • Proficient in machine learning libraries and scientific calculation such as Scikit-learn, NumPy, SciPy, etc.
                                                    • Good knowledge of software engineering practices such as Agile, DevOps, CI/CD and others (continuous integration with GitLab, Gradle, Git, Docker, Kubernetes) CI/CD and others.
                                                    • Proficient with modern DevOps tools, such as Docker, OpenShift, Kubernetes, ELK, Jenkins.
                                                    • Good knowledge of Kafka.
                                                    • Knowledge of a deep learning framework such as Kubelfow, Tensorflow, PyTorch or other.
                                                    • Well documented and ability to make complex concepts easy to understand.

                                                    Here are a few reasons why others have joined our team :

                                                    • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                    • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                    • A comprehensive financial rewards program that recognizes your success
                                                    • An extensive, flexible benefits package
                                                    • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                    • A $350 annual wellness account that promotes an active lifestyle

                                                    +
                                                    Closing Statement
                                                    +

                                                    We are an Equal Opportunity Employer

                                                    At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                    If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                    Background Checks

                                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                    Internal Candidates

                                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                    Eligibility to Work in Canada

                                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                    #li-qc


                                                    +

                                                    +

                                                    +
                                                    ",,https://careers.intact.ca/ca/en/job/IFCOUS14862/Senior-Python-Developer-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-05-14T19:26:29.092Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/58540157-senior-python-developer-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14862/Senior-Python-Developer-Toronto-Intact-Lab,expired,2021-04-14T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +77cb32f4-0ea6-4bc3-8624-b96b8a137b20,58643809,Deloitte,"Machine Learning/NLP Lead, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-04-15T17:43:38.287Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Calgary; Kitchener; Montreal; Ottawa; Toronto; Vancouver

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +

                                                    As an NLP Lead, you will lead the development of deep learning models specially in the NLP field to deliver best-of-breed solutions for clients’ business problems and work with large amounts of unstructured data on a granular level, from various data sources. You will take a hands-on approach in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                                                    +

                                                    You will also design analytical plans and communicate insights on client projects and provide mentorship in planning and data collection, assist in pitches and proposal bids, assist in different areas of project management, including client projects and internal initiatives.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • Deep learning experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                    • 6+ years relevant work experience with applying DL, especially for NLP and working with data in any industry
                                                    • Experience with social media analytics using either AWS, Azure or GCP
                                                    • Strong experience with Machine Learning agile project management and other statistical analytical techniques, data mining, and predictive models is required
                                                    • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                    • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required. Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    +

                                                    +

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,feed-importer@jobboard.io,,,,2021-05-15T19:07:00.000Z,False,0,2,38,https://talenthub.vectorinstitute.ai/jobs/58643809-machine-learning-nlp-lead-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,expired,2021-04-15T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +a81c259d-335d-4ca2-9342-76a39173add9,58855680,Deloitte,"Manager - Intelligent Automation, Omnia AI Toronto",on_site,"Toronto, Ontario, Canada",2021-04-16T17:43:14.847Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Ottawa; Toronto

                                                    +

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                    +
                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +

                                                    As a Manager in the Intelligent Automation (IA) Omnia AI offering, you will be part of a team that delivers IA solutions to our clients and supports evaluation, architecture, and implementation of IA opportunities. We will count on you to resolve incidents quickly and proactively, advise and implement value-added enhancements that can transform our clients' business and provide excellent customer service. Responsibilities include:

                                                    +
                                                    • Developing and maintaining long term business relationships with excellent client service, and leveraging relationships to develop IA applications
                                                    • Leading projects and scrum teams in agile automation development lifecycles
                                                    • Managing and prioritizing multiple projects simultaneously with a proven ability to present new ideas, lead & deliver business engagements
                                                    • Manage executive / leadership communication internally and with clients
                                                    • Lead the creation and ongoing refinement of an appropriately tailored IA solution that provides the optimum platform for rapid and repeatable delivery of automated processes
                                                    • Lead process workflow modeling in order to collaborate on IA candidacy and business case
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +

                                                    Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    In our view, the best IA managers passionately seek ways to add value to our clients and their businesses. They are able to explain the capabilities of automation technologies in clients’ business domain and can articulate roadmaps on how this emerging technology should be implemented. They possess strong problem solving, communication and analytical skills. They are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +

                                                    You are someone with:

                                                    +
                                                    • 3+ years of leading automation delivery lifecycles with IA tools like BluePrism, UiPath, Automation Anywhere, Workfusion, Hyperscience, ABBY
                                                    • 8+ years of overall delivery experience
                                                    • A degree in computer science, engineering, business or a related field
                                                    • Knowledge and experience in implementing enterprise level IA solutions such as: BluePrism, UiPath, Automation Anywhere, Workfusion
                                                    • Good communication, organization, and presentation skills
                                                    • Experience and understanding of software development best practices.
                                                    • Experience with software development methodology such as Waterfall, Agile, etc.
                                                    • Good communication skills and experience in client facing role
                                                    • Eligibility for Canadian security clearances preferred
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Manager-Intelligent-Automation%2C-Omnia-AI-Toronto-ON-M5C-3G7/704071500/,feed-importer@jobboard.io,,,,2021-05-21T20:09:58.836Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/58855680-manager-intelligent-automation-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Manager-Intelligent-Automation%2C-Omnia-AI-Toronto-ON-M5C-3G7/704071500/,expired,2021-04-16T17:43:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +6c289d12-6306-41cc-bd34-59190220e15a,59312463,Borealis AI,Data Architect – Distributed Systems,on_site,"Toronto, + Montreal, + Waterloo, + Vancouver",2021-04-21T19:44:45.294Z,"

                                                    What’s the opportunity?

                                                    We’re looking for an enthusiastic distributed systems architect who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Architect, you’ll be responsible for owning and delivering distributed systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                    +

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    Your responsibilities include:

                                                    • Serving as a technical lead for a team of data engineers
                                                    • Architecting, designing and building distributed systems for Borealis AI projects;
                                                    • Building efficient tools and processes for data governance and compliance
                                                    • Collaborating with research and business teams to model and deliver on their data needs;
                                                    • +

                                                    You’re our ideal candidate if you have:

                                                    • Have a bachelor’s degree in Computer Science, Software Engineering, or equivalent;
                                                    • Strong enterprise experience in designing and building data lakes;
                                                    • Solid understanding of distributed computing frameworks (i.e. Spark, Hadoop) as well as SQL, NoSQL and graph databases;
                                                    • 5+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                    • Strong experience with writing modular, robust, scalable software in one of the major languages such as C++, Java, Python 3.x;
                                                    • Strong experience with the Unix command line and bash scripting;
                                                    • Familiarity to data governance is an asset;
                                                    • Strong communication skills and a collaborative attitude.
                                                    • Knowledge of professional software engineering best practices in for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                    • +

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • +

                                                    How to apply:

                                                    Please email your resume, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-05-21T20:13:03.913Z,False,1,0,14,https://talenthub.vectorinstitute.ai/jobs/59312463-data-architect-a-distributed-systems-at-borealis-ai,,expired,2021-04-21T19:44:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Bachelors Degree,New Posting, +d4e52c06-23b5-4d62-bb39-754243a310fb,59318372,Google,"Technical Specialist, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2021-04-21T20:33:24.973Z,"

                                                    Minimum qualifications:

                                                    +
                                                      +
                                                    • Bachelor's degree in Computer Science or equivalent practical experience.
                                                    • +
                                                    • Experience with traditional Analytic Warehouse solutions, “Big Data” technologies, Real Time Streaming, performance, and scalability optimizations.
                                                    • +
                                                    • Experience in implementing analytics systems architecture (e.g., data migration, streaming, security, etc.).
                                                    • +
                                                    • Experience with delivering technical presentations. Experience with cloud computing including cloud market and competitive dynamics.
                                                    • +
                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
                                                    • +
                                                    • Extensive technical sales experience or professional consulting experience in the fields of cloud computing, data, information lifecycle management and Big Data.
                                                    • +
                                                    • Experience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.
                                                    • +
                                                    • Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.
                                                    • +
                                                    +

                                                    About the job

                                                    +

                                                    When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

                                                    +

                                                    With companies relying on Google Cloud, we regularly answer questions about technical features, helping customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks related to database migration and data back ends.

                                                    +

                                                    As a Technical Specialist for Data Analytics, you'll utilize both your technical and communication skills to address all aspects of the data lifecycle.

                                                    +

                                                    Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

                                                    +

                                                    Responsibilities

                                                    +
                                                      +
                                                    • Support local teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle.
                                                    • +
                                                    • Identify business and technical requirements, conduct full technical discovery and architect customer solutions to meet gathered requirements.
                                                    • +
                                                    • Lead technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
                                                    • +
                                                    • Work hands-on with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments.
                                                    • +
                                                    • Travel as required for meetings, technical reviews and onsite delivery activities.
                                                    • +
                                                    ",,"https://careers.google.com/jobs/results/85388404805509830-technical-specialist-data-analytics-google-cloud/?location=Toronto,%20Canada&q=data",aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-05-19T21:20:00.000Z,False,0,5,53,https://talenthub.vectorinstitute.ai/jobs/59318372-technical-specialist-data-analytics-google-cloud-at-google,,expired,2021-04-21T20:33:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,Bachelors Degree,New Posting, +52f39744-ff9b-4cf3-ab5a-2544ed03ff85,59323044,Sun Life Financial,Senior Data Solutions Designer,on_site,"Toronto, ON, Canada",2021-04-21T21:19:29.891Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    We’re here to help

                                                    -

                                                    -

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    -

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    -

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    -

                                                    -

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://jobs.bmo.com/ca/en/job/R210011366/Software-Developer-Fall-2021-Co-op-Internship-8-Months,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-07-22T02:59:02.629Z,False,0,13,34,https://talenthub.vectorinstitute.ai/jobs/69027682-software-developer-fall-2021-co-op-internship-8-months-at-bmo-financial-group,,expired,2021-06-22T02:59:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -b3579eea-34c7-47dc-87dd-a17bd580d0fe,69030210,Vector Institute,Senior AI Software Developer,temporary,"Toronto, ON, Canada",2021-06-22T05:20:43.202Z,"

                                                    POSITION SUMMARY

                                                    -

                                                    -

                                                    As a Vector Senior AI Software Developer, you will provide technical leadership and contribute to developing and integrating reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest machine learning and AI researchers and provide guidance to AI Software Developers and data scientists and researchers at industry sponsors and healthcare institutions to apply AI.

                                                    -

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    +

                                                    Job Description:

                                                    +

                                                    We are looking for an experienced and high-performing person to join our Data and Analytics Solutions team as a Senior Data Solutions Designer.

                                                    -
                                                    • Provide technical leadership for applied research projects and AI/ML software development and integration projects following an agile methodology with teams that can include Vector AI developers, professional staff, researchers, industry sponsors and healthcare partners;
                                                    +

                                                    This technical leadership role is responsible for designing critical data systems in consultation with Sun Life’s Business and Technology partners, including the holistic alignment of technologies, standards, and practices that enable SLF to deliver world class data and analytic systems.

                                                    +

                                                    +

                                                    The Data Solutions team is an evolving group leading SLF in the application of leading-edge solutions against SLF business opportunities. Our team is diverse and inclusive and value the variety of background and experience in all aspects of the role.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • Design and lead development of reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • -
                                                    • Design and lead development of open source software for applying AI research techniques to common problems;
                                                    • -
                                                    • Mentor industry sponsors and healthcare partners on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                    • -
                                                    • Mentor researchers and AI software developers on software engineering and data science best practices;
                                                    • -
                                                    • Lead the development of prototypes and proofs of concept;
                                                    • -
                                                    • Report and present on software development including status and results; and,
                                                    • +
                                                    • Provide leadership on the design of robust and efficient data applications and standards.
                                                    • +
                                                    • Apply best practices to all solution design areas, including on premise, AWS, or a combination. This includes areas such as Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.
                                                    • +
                                                    • Mentor other data systems designers, both within your team and within other Technology or Business units, in order to support solution development and application of best practices.
                                                    • +
                                                    • Enable the expansion of the Data Solutions center of excellence through education support, publication of solution accelerators, and open discussions on data challenges and opportunities.
                                                    • +
                                                    • Provide high level estimates for project proposals and solution designs.
                                                    • +
                                                    • Integrate with project teams according to Systems Development Life Cycle (SDLC) methodology for either waterfall, lean or agile projects.
                                                    • +
                                                    • Provides consultation for the evaluation of complex data and software systems.
                                                    • +
                                                    • Build and manage effective working relationships with other departments, groups, or personnel.
                                                    -
                                                    • Other related duties as assigned.

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    This is a senior solution role requires 10 years of experience in the following:

                                                      -
                                                    • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred.
                                                    • -
                                                    • Minimum of four years of experience in industry applying machine learning for data science or technology product development or equivalent; experience across industries considered an asset.
                                                    • -
                                                    • Demonstrated experience as a technical lead for teams applying machine learning.
                                                    • -
                                                    • Demonstrated experience in applying machine learning to problems deployed in production.
                                                    • -
                                                    • Demonstrated experience in working closely with software engineers, data scientists and operations staff.
                                                    • +
                                                    • Build/design experience related to data service design and implementation.
                                                    • +
                                                    • Software development life cycle /SDLC; waterfall, lean and agile
                                                    • +
                                                    • Experience in designing solutions for data warehouse system integrations.
                                                    • +
                                                    • Mainframe, DB2, SQL Server, and Informatica PowerCenter usage.
                                                    -
                                                    • Demonstrated experience developing software that is deployed in production.
                                                    +

                                                    +

                                                    2+ years of experience:

                                                      -
                                                    • Demonstrated experience in data engineering working with messy real-world data.
                                                    • -
                                                    • Demonstrated experience in operational considerations for deployment of deep learning.
                                                    • -
                                                    • Demonstrated analytical skills to identify signal in data and feasibility of prediction.
                                                    • -
                                                    • Strong knowledge and experience with Python.
                                                    • -
                                                    • Experience in popular open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • -
                                                    • Experience with parameter and architecture tuning of deep learning algorithms.
                                                    • -
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.
                                                    • +
                                                    • Building integrated systems from on premise to cloud based infrastructures.
                                                    • +
                                                    • Big Data technologies (Hadoop, Cassandra, Redshift, etc.)
                                                    • +
                                                    • Documentation skills including technical writing, Visio, PowerPoint, flowcharting
                                                    • +
                                                    • AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services

                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    +

                                                    Preferred Skills:

                                                    +
                                                      +
                                                    • Extremely strong communication, critical thinking, and analytical skills. This includes skills such as conceptual requirements interpretation, solution creation, and problem-solving abilities.
                                                    • +
                                                    • Excellent collaboration and leadership skills, a proven ability to adapt to challenges, and a strong interest in coaching and mentoring colleagues.
                                                    • +

                                                    -

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    +

                                                    What’s in it for you?

                                                    +
                                                      +
                                                    • A flexible work schedule, so long it includes core working hours
                                                    • +
                                                    • Being part of our journey in developing the next greatest digital experience
                                                    • +
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                    • +
                                                    • An extensive support system for continual learning including company-run courses, access to online learning platforms
                                                    • +

                                                    -

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=115&source=google&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-07-22T05:20:45.080Z,False,0,2,43,https://talenthub.vectorinstitute.ai/jobs/69030210-senior-ai-software-developer-at-vector-institute,,expired,2021-06-22T05:20:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -a005ec36-2faf-427d-8d05-489326c5fce6,69030751,CIBC,"Senior Manager, Data & Analytics",on_site,"Toronto, ON, Canada",2021-06-22T05:25:22.138Z,"

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    +

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                    +

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    +

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    Job Description

                                                    +

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    What You’ll Be Doing

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    You'll join our Frontline & Distribution Analytics team reporting to the Director, Analytics. As a Senior Manager, you'll work as a technical developer who is excited about providing end-to-end data analytic solutions for our product origination and fulfillment platform. These solutions will range from designing a comprehensive data model to providing an insightful production dashboards to drive evidence-based decision making at all levels for the Personal and Business Banking (PBB) lines of business. You will be exploring large datasets with limited metadata, and are expected to operate independently in forming and creating a comprehensive data/table structures that will be the backbone of all regular/adhoc analysis and reporting for the team.

                                                    -

                                                    You will also support the execution of the strategic data roadmap for the team and provide the capability to create quantifiable value by the use of data, analytics and insights. This includes developing data and workflows through efficient/automated ETL processes, and act as a key enabler to the rest of the team . You will have technical responsibility for understanding and managing the usage of key data sources as well as the development and maintenance of sales force, client and product profiles designed to facilitate ongoing and ad-hoc work.

                                                    +

                                                    Salary Range:

                                                    +

                                                    73,800/73 800 - 124,100/124 100

                                                    -

                                                    How You’ll Succeed

                                                    +

                                                    Job Category:

                                                    +

                                                    IT - Technology Services

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Data-Solutions-Designer_JR00040692?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-05-19T21:19:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/59323044-senior-data-solutions-designer-at-sun-life-financial,,expired,2021-04-21T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +06a73831-9887-412a-98d5-46953bb6f990,59405571,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2021-04-22T14:47:44.970Z,"

                                                    Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                    +

                                                    Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                    +

                                                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                    +

                                                    Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                    +

                                                    As a machine learning scientist, you will

                                                      -
                                                    • -Business Performance, Client and Product Profile Development - Develop and maintain streamlined ETL process for sales force, client and product data that can be used to facilitate both ongoing dashboard reporting and ad hoc analyses
                                                    • -
                                                    • -Dashboard Design and Development – Lead the development of our production dashboard related to key sales interactions, client experiences, product origination and channel trends for multi-level users throughout the organization.
                                                    • -
                                                    • -Data Exploration - Explore the data with the limited information, and develop a strategic data integration plan that will connect bank’s client journey from start to finish.
                                                    • -
                                                    • -Strong Partner – You will develop change management strategies and maintain open, collaborative lines of communication to ensure awareness of requirements and impacts. You will gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition
                                                    • -
                                                    • -Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights based this analysis with a wide variety of audience
                                                    • +
                                                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                    • +
                                                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                    • +
                                                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                    • +
                                                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                    -

                                                    -

                                                    Who You Are

                                                    +

                                                    Required Qualifications

                                                      -
                                                    • -Database Design and ETL - You demonstrate strong understanding on the data warehouse design with experience in managing and creating database model and ETL processes that supports and accelerate analytic end user. You must have advanced proficiency in various RDBMS, SAS, and ETL managements. You have the ability to perform complex data integration and transformation with large datasets including both structured and unstructured data
                                                    • -
                                                    • -Dashboard Development - You possess superior Tableau skills for the data visualization with proven records in designing, developing and maintaining enterprise level dashboards using Tableau. You can overcome the technical limitations of the tools with various techniques and creative work around solutions.
                                                    • -
                                                    • -You are a problem solver - You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business and technical problems and recommend solutions
                                                    • -
                                                    • -Analytical - You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Your critical thinking skills help to inform your decision making
                                                    • -
                                                    • -Detail Oriented - You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                    • -
                                                    • -Goal Oriented - You are driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact
                                                    • -
                                                    • -Client-Focused - You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do
                                                    • -
                                                    • -Values matter to you -You bring your real self to work and you live our values – trust, teamwork and accountability
                                                    • +
                                                    • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                    • +
                                                    • Strong background in machine learning
                                                    • +
                                                    • 5+ years of research experience with publication record
                                                    • +
                                                    • Proven track record of applying machine learning to solve real-world problems
                                                    • +
                                                    +

                                                    Preferred Qualifications

                                                    +
                                                      +
                                                    • Experience with deep learning and/or collaborative filtering
                                                    • +
                                                    • Hands on experience in software systems development and SaaS applications
                                                    • +
                                                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                    • +
                                                    • Experience using GPUs for accelerated deep learning training
                                                    • +
                                                    • Familiarity with AWS
                                                    +

                                                    Benefits

                                                    +
                                                      +
                                                    • Entrepreneurial and inclusive culture
                                                    • +
                                                    • Excellent health coverage
                                                    • +
                                                    • Four weeks paid vacation
                                                    • +
                                                    • Catered lunches twice a week over machine learning talks
                                                    • +
                                                    • Opportunities to collaborate with faculty at the Vector Institute
                                                    • +
                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-05-22T14:47:51.260Z,False,5,0,105,https://talenthub.vectorinstitute.ai/jobs/59405571-machine-learning-scientist-at-layer-6,,expired,2021-04-22T14:47:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, +ceb9ba63-420a-49c6-97c8-853932b26042,59407356,Scotiabank,"Senior Product Manager, Customer Insights, Data & Analytics",on_site,"Toronto, ON, Canada",2021-04-22T15:01:44.969Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    What CIBC Offers

                                                    +

                                                    Purpose:

                                                    +

                                                    +


                                                    The CID&A team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                    +


                                                    The role of the Senior Product Manager operates within the Data Enablement and Architecture team. The L8 Senior Product Manager is responsible for leading the Data Automation products as the Lead Product Manager. This role will be tasked with establishing and maintaining a prioritized roadmap against our overall vision while ensuring our products accurately reflect our customer needs.

                                                    +


                                                    We are looking for a leader who will work closely with other analytics teams, technology teams, engineering teams, data architects, data modelers, and other data teams in the bank to establish a holistic product strategy around Data Automation & Management.
                                                    You are strong at setting a vision and roadmap to deliver customer-focused user experiences. You inspire those around you to get behind the vision; you manage teams and deliver features that are enjoyable, easy to use, and focus on driving value from data. You never settle, are always looking for new ways to solve big customer problems. You have demonstrated the ability to collaborate effectively with internal and external partners—including technologists, product managers, engineers, designers and senior leadership.

                                                    +

                                                    +


                                                    Key Accountabilities:

                                                    +


                                                    • Be the product evangelist. Become the subject matter expert for the Data Automation team and our internal customers on the product discipline.
                                                    • Be hands-on. Design, Prototype, Configure - validate solutions rapidly to ensure we solve the right problems, in the right order.
                                                    • Be a storyteller. Author & design high-quality specifications and communicate specific, actionable requirements to your engineering teammates
                                                    • Be a leader. Look for an opportunity to innovate, challenge conceptions and existing status quo to modernize towards a better future
                                                    • Be an owner. Cultivate the roadmap for your new product, collaborate closely with cross-functional teams
                                                    • Be agile. Design, implement, iterate.
                                                    • Work closely with the product team to ensure delivery of a holistic data product roadmap and help mature product management practices
                                                    • Owns the roadmap against the enterprise data strategy focus areas of Data Automation
                                                    • Influences Director and VP level stakeholders to understand data from an enterprise perspective
                                                    • Work closely with enterprise technology teams to align the data automation roadmap to the data strategy and ensure proper product management and ownership of data automation products
                                                    • Work closely with enterprise analytics teams of Data Scientists to ensure our product can drive real business outcomes
                                                    • Drives consensus across domains to achieve enterprise consistency
                                                    • Work with engineering leads and architects on breaking-down, scoping, and estimating tasks.
                                                    • Participate in planning and retrospective sessions, attend stand-ups, etc.

                                                    +

                                                    +


                                                    Functional Competencies:

                                                    +


                                                    • Proven product management experience in a complex enterprise environment
                                                    • Strong communication skills, both written and spoken
                                                    • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                    • Experience with agile delivery frameworks
                                                    • Experience with the analytics & data science life cycle
                                                    • Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability would be an asset
                                                    • Knowledge of big data technologies (Cloudera/Hortonworks, Cassandra, Spark, other) would be an asset.
                                                    • Knowledge of relational databases (Oracle, SQL Server, MySQL, PostgreSQL) would be an asset.
                                                    • Understanding of CI/CD Technologies (Jenkins, Git, Bitbucket, other).
                                                    • Experience in Cloud Data Solutions would be an asset
                                                    • Ability to solve ambiguous and typically novel problems that require the effort of several teams and organizational alignment
                                                    • Attention to details, high standards for quality.
                                                    • Desire to learn, grow yourself and your team.
                                                    • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                    • Writing and maintaining related documentation.

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Manager%2C-Customer-Insights%2C-Data-&-Analytics-ON-M5C2V9/545871617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/59407356-senior-product-manager-customer-insights-data-analytics-at-scotiabank,,expired,2021-04-22T15:01:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d0ccee02-7bb8-430a-ba37-73dcade3e832,59407671,Scotiabank,Manager (Data Analytics),on_site,"Toronto, ON, Canada",2021-04-22T15:04:13.261Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    +

                                                    +

                                                    Purpose of Job:

                                                    +

                                                    Reporting into the Senior Manager, Enterprise Risk, Strategy and Execution, the manager will play an active role in implementation and automation of the Bank’s enterprise risk management program.

                                                    +

                                                    +

                                                    Job Responsibilities:

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      -
                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • -
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • -
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                    • -
                                                    • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +
                                                    • Document the business requirements for regulatory returns, board reports, and select sections of the Bank’s financial statements;
                                                    • +
                                                    • Enhance an integrated reporting data structure to provide information to support business decisions;
                                                    • +
                                                    • Summarize and describe changes in the Bank’s credit risk globally for internal and external stakeholders;
                                                    • +
                                                    • Provide fast and reliable revision of reports as requested by the Board, Executive Management and Regulators;
                                                    • +
                                                    • Provide error-free reporting, test changes to various data sources, ensure timely delivery of reports;
                                                    • +
                                                    • Review business requirements and conduct reasonability reviews of reports and extracts produced elsewhere and identify dimensional differences;
                                                    • +
                                                    • Streamline data flow and generate stakeholder reports related to the Credit Risk Appetite.
                                                    • +
                                                    • Providing Subject Matter Expertise for new regulatory reporting expectations, including providing support in interpreting, formalizing, and communicating business requirements;
                                                    • +
                                                    • Validating and cross-checking data, and analyzing period-over-period changes for a variety of reports;
                                                    • +
                                                    • Communicating effectively with departments and teams across the bank.
                                                    • +
                                                    • Documenting Global Risk Management – Enterprise Risk existing and new reports;
                                                    • +
                                                    • Embracing the latest technology for seamless reporting and advanced analytics;
                                                    • +
                                                    • Ensuring timely delivery and verification of data from other departments;
                                                    • +
                                                    • Producing and/or assisting with producing Global Risk Management-Enterprise Risk major reports, monthly and quarterly and ensuring their timely delivery; Business testing of enhancements to existing data sources by performing comparative analysis;
                                                    • +
                                                    • Communicating effectively with departments and teams across the bank.
                                                    • +
                                                    • Proven problem resolution skills;

                                                    -

                                                    Please apply by: end of day on May 6, 2021

                                                    +

                                                    Job Requirements:

                                                    -

                                                    What You Need to Know

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                    • +
                                                    • Must have SAS or Python and PowerBI.
                                                    • +
                                                    • Must have advanced knowledge of MS Office (especially Excel and Access) and a general understanding of relational databases and data mining.
                                                    • +
                                                    • Must have experience with SQL to run queries in different environments, and aggregate data from several sources in various formats
                                                    • +
                                                    • Knowledge of banking products, accounting and finance principles, exposure measurements, reporting to regulators and Senior Executives;
                                                    • +
                                                    • Strong computing, technical, and analytical skills. Good knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential;
                                                    • +
                                                    +
                                                      +
                                                    • Graduate university degree (mathematics, business administration, statistics or equivalent)
                                                    • +
                                                    • CFA or FRM designation an asset.

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-%28Data-Analytics%29-ON-M5H1H1/546289617/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/59407671-manager-data-analytics-at-scotiabank,,expired,2021-04-22T15:04:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +03b25cc9-9cdb-4434-92e5-b967c474851d,59408076,Scotiabank,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-04-22T15:08:17.664Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    Job Location

                                                    -

                                                    Toronto-CC East 5th Floor

                                                    -

                                                    Employment Type

                                                    -

                                                    Regular

                                                    +

                                                    Purpose:

                                                    -

                                                    Weekly Hours

                                                    -

                                                    37.5

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Data---Analytics_2109683-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-07-22T05:25:39.770Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/69030751-senior-manager-data-analytics-at-cibc,,expired,2021-06-22T05:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -735bbd75-7006-439a-868f-236df90b7dea,69030753,CIBC,"Sr. Consultant, Risk Analytics",on_site,"Toronto, ON, Canada",2021-06-22T05:26:17.732Z,"
                                                    • We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                      +

                                                      The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                      +


                                                      The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

                                                      -

                                                      At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                      +


                                                      Key Accountabilities:

                                                      +


                                                      • Design and implement services and components to enable enterprise-wide use of data
                                                      • Automate and re-factor services code.
                                                      • Work closely with data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
                                                      • Participate in planning and retrospective sessions, attend stand-ups, etc.

                                                      -

                                                      To learn more about CIBC, please visit CIBC.com

                                                      +


                                                      Functional Competencies:

                                                      +


                                                      • Experience in building data software; experience with ETL a plus
                                                      • Experience working with big data technologies (e.g. Spark, Hive, Airflow)
                                                      • Experience with object-oriented programming languages (e.g. Scala, Python, Java)
                                                      • Experience working with relational databases (e.g. MySQL, PostgreSQL)
                                                      • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
                                                      • Understanding of data management disciplines such as data quality, data profiling, etc.
                                                      • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
                                                      • Experience with performance tuning data pipelines
                                                      • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                      • Strong communication skills, both written and spoken
                                                      • Team player, self-starter
                                                      • Attention to details, high standards for quality
                                                      • Writing and maintaining clear documentation
                                                      • Previous experience working in a financial institution a plus

                                                      -

                                                      Job Description

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5C2V9/546663817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-22T15:08:19.874Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/59408076-senior-data-engineer-at-scotiabank,,expired,2021-04-22T15:08:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c48f9459-4cf2-4979-be30-e7621d5c8556,59408254,Scotiabank,Data Scientist,on_site,"Toronto, ON, Canada",2021-04-22T15:09:05.993Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      What You’ll Be Doing

                                                      -

                                                      Reporting to the Director, Business Intelligence, the Senior Consultant, Risk Analytics, will contribute to the Risk Business Intelligence Office (RBIO) by applying their combined business and risk analytics focused background to help develop new initiatives and enhancements to the risk domain business intelligence. This will include solutioning business needs through leading edge BI and visualization techniques to accelerate information uptake and to maximize comprehension, supporting the BI developers with the business requirements and UAT process, undertaking central data warehouse expansion/maintenance initiative and collaborating with our technology partners.

                                                      -

                                                      How You’ll Succeed

                                                      +

                                                      Purpose

                                                      -

                                                      The key accountabilities for this role are as follows:

                                                      +

                                                      The Threat Monitoring - Data Scientist is accountable to act as a Senior resource and SME in one of two key functions, being the development, of approaches and techniques or detecting Money Laundering activity across the bank globally, and/or within the Threat Analytics team to ensure that current and future high risk AML activities are identified and referred to Investigations for review.

                                                      +

                                                      +

                                                      Accountabilities

                                                      +

                                                      +

                                                      1. Perform data extrapolation across multiple data sources and create data mosaics

                                                        -
                                                      • -Design/deliver insightful and actionable BI/Visualization solutions - Analyze, design and support development of risk reports and visualization for various internal and external clients in line with stakeholder requirements. Ensure data reported is accurate, timely and presented in a visually appropriate means to facilitate audience comprehension.
                                                      • -
                                                      • -Lead BI Development process - You will lead BI developers through the development process by providing accurate and clear business requirements, use cases, test cases and undertaking comprehensive UAT process.
                                                      • -
                                                      • -Project planning and execution As part of your business intelligence and data management responsibilities, you will be accountable for managing and tracking various commitments to our clients and ensuring that the critical deadlines are closely monitored and not compromised.
                                                      • +
                                                      • Develop data mosaics by combining information across different sources including law enforcement, news, social media, etc.
                                                      • +
                                                      • Construct data frameworks that will be used to measure, and monitor threats to the bank

                                                      -

                                                      Who You Are

                                                      +

                                                      2. Perform system integration between global entity databases and transaction systems.

                                                        -
                                                      • -You are an expert in BI and Analytics solutioning: You have extensive experience in working with business clients to design BI and analytics solutions to their needs. You have thorough understanding of RDBMS, data warehouses and data querying tools (SQL). You can give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Prior exposure to BI tools (Cognos, Tableau etc.) would be highly valued.
                                                      • -
                                                      • -You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.
                                                      • -
                                                      • -You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                      • -
                                                      • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                      • +
                                                      • Build scalable solution to ingest and process entity databases and business transaction systems.
                                                      • +
                                                      • Extend classic standalone algorithms to work in parallel in Hadoop ecosystem and GCP.
                                                      • +
                                                      • Build batch-based and real-time entity resolution process on serve various business transaction systems.

                                                      -

                                                      What CIBC Offers

                                                      +

                                                      3. Onboard and enrich data from global sources

                                                      +
                                                        +
                                                      • Develop processes to clean and transform raw data from bank and third-party sources
                                                      • +
                                                      • Work with team members and domain experts to extract features
                                                      • +

                                                      -

                                                      At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                      +

                                                      4. Perform threat monitoring analytical techniques

                                                        -
                                                      • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                      • -
                                                      • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                      • -
                                                      • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                      • -
                                                      • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                      • +
                                                      • Use classic and latest machine learning research results to identify potential threats to bank channels
                                                      • +
                                                      • Use classic and latest machine learning research results to perform data canonicalization on the matched entity references (bad and good actors).
                                                      • +
                                                      • Use graph theory techniques to identify relationships and groups of bad actors.

                                                      -

                                                      What You Need to Know

                                                      +

                                                      5. Other

                                                        -
                                                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
                                                      • -
                                                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                      • +
                                                      • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                      • +
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                      • +
                                                      • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                      +

                                                      Education / Experience

                                                      +

                                                      -

                                                      Job Location

                                                      Toronto-CC East 11th Floor

                                                      Employment Type

                                                      Regular

                                                      -

                                                      Weekly Hours

                                                      37.5
                                                    -

                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Risk-Analytics_2114320-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-07-22T05:26:19.169Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/69030753-sr-consultant-risk-analytics-at-cibc,,expired,2021-06-22T05:26:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -32f8701b-e452-44e1-831e-8140e7e53492,69030854,integrate.ai,Software Engineer (Platform),on_site,"Toronto, ON, Canada",2021-06-22T05:38:09.946Z,"

                                                    At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. We are looking for extraordinary people to help build our AI-powered platform which helps B2C enterprises become more customer-centric, identifying what customers value in businesses and applying AI to guide them to unique experiences. We care about privacy and ethics and are working to make Responsible AI a reality across consumer enterprise.

                                                    -

                                                    We are looking for an incredible Software Engineer (Platform) who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                    -

                                                    Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                    -

                                                    What you will be doing:

                                                      -
                                                    • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                    • -
                                                    • Building impactful services and features in a way that you can be proud of
                                                    • -
                                                    • Operating services at scale and with world class reliability
                                                    • -
                                                    • Extending and improving your services to drive better outcomes for people
                                                    • -
                                                    • Contributing to the growth and development of your colleagues and the company
                                                    • -
                                                    • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                    • -
                                                    • Building client facing and internal web applications
                                                    • -
                                                    • Working with Data Scientists to create robust machine learning applications
                                                    • -
                                                    • Be responsible for designing and implementing features for several large projects
                                                    • -
                                                    • Participating in infrastructure development and operations
                                                    • -
                                                    • Managing existing codebase and developing new products for customers
                                                    • -
                                                    • Implementing integration with existing customer systems and providing support and documentation
                                                    • -
                                                    • Participating in agile project planning and estimation
                                                    • -
                                                    • Providing on-demand developer support directly to clients and their partners
                                                    • +
                                                    • Degree in Computer Science or related field
                                                    • +
                                                    • Strong foundation in Software Engineering and Core Computer Science
                                                    • +
                                                    • Strong background with some of the technologies.
                                                    • +
                                                    • Technology Stack: Java, Python, Hive, Spark, Scala, Hadoop/MapReduce, Unix/Linux, GCP
                                                    • +
                                                    • Quick learner, inquisitive by nature, ability to learn independently
                                                    • +
                                                    • Ability to communicate highly technical material to general audience
                                                    -

                                                    We Value:

                                                    -
                                                      -
                                                    • Writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                    • -
                                                    • A degree in Computer Engineering, Computer Science or an equivalent degree or experience
                                                    • -
                                                    • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                    • -
                                                    • Experience shipping code to production
                                                    • -
                                                    • The ability to give constructive feedback on code reviews
                                                    • -
                                                    • Experience with relational databases and SQL
                                                    • -
                                                    • Superior understanding of computer science fundamentals
                                                    • -
                                                    • Understanding of value and operational cost of delivered solutions
                                                    • -
                                                    • Working in an agile environment
                                                    • -
                                                    • Experience with AWS/GCP infrastructure is a plus
                                                    • -
                                                    • Great desire and willingness to learn
                                                    • -
                                                    • Contributions to the growth and success of your teammates
                                                    • -
                                                    ",,https://boards.greenhouse.io/integrateai/jobs/4230507002,aimasters@vectorinstitute.ai,https://integrate.ai/careers,,,2021-07-22T05:38:11.222Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/69030854-software-engineer-platform-at-integrate-ai,,expired,2021-06-22T05:38:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,Re-Posting an Expired Job, -252266cb-a54c-422f-a780-9f883d9e35f7,69402745,Accenture,SAS Data Engineering Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-06-24T21:28:03.290Z,"

                                                    Job Description

                                                    Job Title: SAS Data Engineering Manager
                                                    Location: Toronto, Montreal, Ottawa

                                                    Job Description Overview

                                                    We Are:
                                                    Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

                                                    You Are:
                                                    As a SAS Engineer, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including designing and delivering performant Business Intelligence SAS applications to our clients by supporting our engagement teams in collaboration with the project manager. You are enthusiastic about all things data, statistics, data mining, customer intelligence and advanced analytics. If you have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development, then this role may be for you.
                                                    In this role, you will:
                                                    - Deliver proof on concepts using appropriate SAS technology
                                                    - Support analysis, design, development and testing phases
                                                    - Document business processes, business requirements and system requirements
                                                    - Provide specifications for ETL or any service oriented dataflow
                                                    - Support SAS cloud strategy
                                                    - Database design for the following solutions: Customer Intelligence, In-Memory Analytics, Customer Intelligence and Marketing Intelligence
                                                    - Support Integrated and UAT testing
                                                    - Performance tuning
                                                    - Support the project manager and the scrum master
                                                    - Define good development practices and methodology for the team
                                                    - Guide developers throughout the development phases
                                                    - Deploy solutions in regards to our client’s DevOps approach
                                                    - Participate in project proposals and RFI
                                                    - Participate in business development activities

                                                    -
                                                    Read more of the job description
                                                    -


                                                    -

                                                    Qualifications

                                                    Here’s What You Need:
                                                    - Bachelor's Degree in Computer Science
                                                    - Strong working experience in an environment with SAS, with 5+ years of experience delivering various projects involving SAS Cloud Analytics technologies
                                                    - Experience in Agile Methodology
                                                    - Proven design and development experience as a SAS Architect or a SAS manager in complex environments
                                                    - Experience in developing using version control tools
                                                    - Knowledge of MS Project, any Agile platforms and Visio
                                                    - Demonstrate experience in performing gap analysis and impact analysis
                                                    - Experience supporting business users working on projects or programs involving multiple highly inter-dependent applications and/or data sources
                                                    - Demonstrated capacity to work collaboratively with client organizations
                                                    - Ability to work with and lead diverse remote teams
                                                    - Ability to develop and present new ideas and conceptualize new approaches and solution
                                                    - Proven analytical skills and systematic problem solving

                                                    We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality.

                                                    To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers.https://accntu.re/2Hcjdtn
                                                    is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.

                                                    Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

                                                    We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

                                                    Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

                                                    -

                                                    Locations

                                                    Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                    -
                                                    -
                                                    -

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    -

                                                    Equal Employment Opportunity Statement

                                                    -

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    -

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    -

                                                    Requesting An Accommodation

                                                    -

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    -

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    -

                                                    Other Employment Statements

                                                    -

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    -

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00869356_en&title=SAS+Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-07-01T22:00:25.178Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/69402745-sas-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00869356_en&title=SAS+Data+Engineering+Manager,expired,2021-06-24T21:28:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7d28ea88-b96d-4f94-bc47-d12894d88b81,69406411,Deloitte,"Consultant, Intelligent Automation Developer, Omnia AI (Toronto)",on_site,"Toronto, Ontario, Canada",2021-06-24T22:05:43.973Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Ottawa

                                                    -

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Be empowered to lead and have impact with clients, our communities and in the office.


                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -
                                                    -

                                                    As a Senior Consultant in the Intelligent Automation (IA) Omnia AI service offering, you will be part of a team that delivers IA solutions to our clients and supports evaluation, architecture, and implementation of IA opportunities. We will count on you to resolve incidents quickly and proactively, advise and implement value-added enhancements that can transform our clients' business and provide excellent customer service. Responsibilities include:

                                                    -
                                                    • Support project lead in the creation and ongoing refinement of an appropriately tailored IA solution that provides the optimum platform for rapid and repeatable delivery of automated processes.
                                                    • Develop and document IA configuration best practices, configure new IA processes and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
                                                    • Drive the strategic and tactical deployment of IA solution to clients by creating and documenting test procedures and scenarios for pre-UAT phases and supporting the Operational Teams during User Acceptance Testing (UAT) and production rollout phases.
                                                    • Support existing processes and implementing change requirements as part of a structured change control process as well as problem solving issues that arise in day to day running of IA processes and providing timely responses and solutions as required.
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -
                                                    -

                                                    Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    In our view, the best IA Consultants are passionate about new and leading automation technology solutions, and are driven to learn about them and keep up with market evolution. They possess strong problem solving and analytical skills, are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                    -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -
                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • 4+ years of development experience with 2+ years in Intelligent Automation
                                                    • A degree in computer science, engineering or a related field
                                                    • Experience in implementing enterprise level IA solutions using tools such as: BluePrism, UiPath, Automation Anywhere, Workfusion, Hyperscience, ABBY
                                                    • Good understanding of Software Development life cycle process
                                                    • Experience in implementing or supporting 2 - 5 end to end IA projects
                                                    • Experience with software development methodology such as Waterfall, Agile, etc
                                                    • Eligibility for Canadian security clearances preferred
                                                    • -
                                                    -
                                                    -
                                                    -
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Consultant%2C-Intelligent-Automation-Developer%2C-Omnia-AI-Toronto-ON-M5C-3G7/704078200/,feed-importer@jobboard.io,,,,2021-07-25T14:53:14.810Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/69406411-consultant-intelligent-automation-developer-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Consultant%2C-Intelligent-Automation-Developer%2C-Omnia-AI-Toronto-ON-M5C-3G7/704078200/,expired,2021-06-24T22:05:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -d831c748-e377-41e9-9828-674af6ef6f79,69406554,RBC,"Associate Director, Capital Markets Finance Strategy and Analytics",on_site,"Toronto, Ontario, Canada",2021-06-24T22:08:38.049Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    The Associate Director, Capital Markets Finance Strategy and Analytics is a key member of the performance management team in Capital Markets Platform Finance that will include responsibility for strategic analysis, reporting, and performance management analytics & insights

                                                    -

                                                    Global regulatory constraints and the impact from the market environment on global financial institutions have materially changed the way the enterprise needs to optimize its resources. Capital Markets arguably has been impacted the most of all the RBC platforms and the need to provide value added, timely and accurate support to senior executives has increased significantly. The complexity of the analytics and the demand for more strategic support to the Front Office has grown exponentially and is a current challenge (and opportunity) for Capital Markets executives to navigate

                                                    -

                                                    This role will appeal to individuals who thrive in a fast-paced area that has significant visibility and a high profile across RBC (especially within Capital Markets), and who have an appetite for working in an innovative environment.

                                                    -

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Responsible for the development of insightful analysis and actionable information working directly and indirectly with business leaders, the CEO, COO and CFO of CM, CFO of RBC, Capital Markets Operating Committee, and senior regional staff in the execution of forward-looking deliverables including strategic Line of Business enterprise reviews as well as internal performance and rating agency reviews
                                                    • -
                                                    • Provide business executives and senior management of Capital Markets with analysis and recommendations on business performance, through identification of issues and ongoing monitoring, as well as provide analysis of strategic initiatives and key decision variables
                                                    • -
                                                    • Execute on fast-paced ad hoc deliverables supporting business and finance executives in performance management analyses and financial outputs
                                                    • -
                                                    • Proactively develop, monitor, and message key performance metrics (financial and non-financial) including, but not limited to, external peer benchmarking and model-based outputs
                                                    • -
                                                    • Support build out of analytical capabilities and performance management tools for both forecasting and analytics purposes. Analyze key performance drivers and correlate external market factors to produce value-added insights in driving business performance and senior management insights
                                                    • -
                                                    • Provide insightful and actionable analysis of Capital Markets results and work on complex presentations (in most cases based on financial modelling exercises) to support executive decision-making
                                                    • -
                                                    • Be a key Finance contact for the Capital Markets platform ensuring reporting, analysis, and performance management requirements are meeting the needs of the Capital Markets CFO and the Capital Markets Operating Committee through timely, actionable, and insightful reporting.
                                                    • -
                                                    • Build upon strong stakeholder relationships to support performance management requirements and enhance cross-unit collaboration capabilities
                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    -
                                                      -
                                                    • CPA, CFA, or Finance MBA
                                                    • -
                                                    • 3+ years’ experience in fields related to finance performance management and strategic analysis
                                                    • -
                                                    • Keen sense of numbers and strong analytical skills with ability to prioritize multiple tasks and handle time-sensitive executive level requests on a continuous basis
                                                    • -
                                                    • Excellent leadership and interpersonal skills with the ability to influence stakeholders and mobilize teams to deliver on common goals
                                                    • -
                                                    • Superior organizational, analytical, and problem solving skills
                                                    • -
                                                    • Ability to creatively and consistently exercise independent thought and judgment; and adapt to new tasks quickly
                                                    • -
                                                    • Innovative, proactive, and persistent in issue resolution
                                                    • -
                                                    • Very strong Microsoft Excel and PowerPoint Presentation skills, with data mining acumen to explore and employ novel approaches/tools/technologies to enhance the delivery of financial information
                                                    • -
                                                    -

                                                    -

                                                    Nice-to-have

                                                    -
                                                      -
                                                    • Experience in wholesale business activity and/or financial resource optimization (capital, funding, and liquidity).
                                                    • -
                                                    • Solid understanding of bank structure, risk management concepts, financial markets, and instruments
                                                    • -
                                                    • Working knowledge of Python, R, or other data analytics toolsets
                                                    • -
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    -
                                                      -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in an agile, collaborative, progressive, and high-performing team
                                                    • -
                                                    • The opportunity to interface with senior level executives from many different parts of the organization
                                                    • -
                                                    -

                                                    -

                                                    -

                                                    -

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 200 Bay Street
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 07/08/2021
                                                    Platform: CFO Group

                                                    Req ID: 380496
                                                    Ad Code(s):

                                                    -

                                                    -

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/380496/Associate-Director-Capital-Markets-Finance-Strategy-and-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-12T22:39:10.180Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/69406554-associate-director-capital-markets-finance-strategy-and-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/380496/Associate-Director-Capital-Markets-Finance-Strategy-and-Analytics,expired,2021-06-24T22:08:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -90faaea5-813d-47b7-9250-3558e5abfc21,69901871,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-27T22:06:07.146Z,"
                                                    -

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Ottawa; Vancouver

                                                    -

                                                    Partner with clients to solve their most complex business problems
                                                    Be encouraged to deepen your technical skills…whatever those may be
                                                    Lead projects and teams to make an impact that matters

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -
                                                    -

                                                    As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -

                                                    -
                                                    -

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-ON-M5H1B6/546515017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-05-19T21:20:00.000Z,False,0,11,42,https://talenthub.vectorinstitute.ai/jobs/59408254-data-scientist-at-scotiabank,,expired,2021-04-22T15:09:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +e778e78e-7947-4d10-99bf-6fcda09041b6,59413893,TD Bank Group,Senior Analytics Implementation Specialist,on_site,"Toronto, ON",2021-04-22T15:31:19.306Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    You are someone with:

                                                    -
                                                    • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                                    • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                                    • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                    • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                                    • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                    • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                                    • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                                    • -
                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    +

                                                    The Digital Data and Analytics (DDA) group is looking for highly motivated and driven individuals to join a team of analytics implementation specialists in a fast-paced environment supporting multiple digital & mobile platforms and applications across many lines of business within TD Bank Financial Group (Canada & U.S.)

                                                    +

                                                    +

                                                    Reporting into the Manager of Measurement Solutions, this position is accountable for implementation, continued integration and knowledge transfer of our analytics stack including Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services and Ensighten.

                                                    +

                                                    +

                                                    As a whole, the DDA team is responsible for extracting business and customer value from digital data. We provide automated reporting and visualization to business partners, and use advanced analytics, data science and machine learning to build data-driven solutions to deliver richer, more connected personalized experiences to our customers.

                                                    +

                                                    +

                                                    Within DDA, the Measurement Solutions team is responsible for managing and enhancing the analytics capabilities of TD Bank digital & mobile projects, ad-hoc tagging requests and marketing support with best-in-class measurement strategies.

                                                    +

                                                    +

                                                    Job Description

                                                    +
                                                    +

                                                    Collaborate with our digital stakeholders to define KPIs, reporting requirements, and overall measurement strategy for our digital and mobile customer journeys

                                                    +

                                                    • Translate business requirements into technical specifications for custom digital analytics implementation using a combination of data layer, processing rules, SAINT classification, report suite configuration, custom JavaScript, JSON and applicable integrations with other systems

                                                    +

                                                    • Manage daily operations and implementation of TD’s analytics stack (Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten) and 3rd party marketing tags (DoubleClick, Rakuten, Facebook, etc.)

                                                    +

                                                    • Develop and own all implementation documents such as SDR, Data Layer specifications, custom JavaScript

                                                    +

                                                    • Ensure the timely delivery and accuracy of documentation and technical coding (HTML, JavaScript, ActionScript) via our Tag Management System

                                                    +

                                                    • Collaborate with technology teams on implementation of analytics solutions, including guidance on data layer implementation and troubleshooting, data feeds and integrations with other systems

                                                    +

                                                    • Keep abreast of product updates (Adobe, Ensighten), best practices and proactively follow up with required changes in our implementation and appropriate communications

                                                    +

                                                    • Provide consultative service, training and validation support to quality assurance/testing teams.

                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                    +

                                                    Candidate Requirements:

                                                    +

                                                    • 4+ years’ experience in analytics, with digital experience preferred

                                                    +

                                                    • 5+ years’ experience of web development including JavaScript, jQuery and Angular

                                                    +

                                                    • Strong understanding of JSON structures and best practices

                                                    +

                                                    • Strong understanding of Native Mobile development standards

                                                    +

                                                    • Strong understanding of JavaScript & Node.js & DOM manipulation, web markup, including HTML5 and CSS3

                                                    +

                                                    • Expertise with tag management tools (DTM, Adobe Launch, Tealium, Ensighten) and their configuration

                                                    +

                                                    • All-hands experience in implementing/troubleshooting/deploying the Adobe stack, Google 360 and/or 3rd party marketing tags using DTM or Adobe Launch or Ensighten

                                                    +

                                                    • Expert level knowledge in developing Adobe Analytics Solution Design Reference (SDR)

                                                    +

                                                    • Understanding of Adobe Analytics processing rules, SAINT classifications, report suite configuration, and data feeds

                                                    +

                                                    • Experience architecting a Data Layer Specification and guiding the development team on implementation and troubleshooting

                                                    +

                                                    • Experience debugging Adobe Analytics utilizing browser network calls, extensions, and tools such as Fiddler, Charles or Omnibug

                                                    +

                                                    • Ability to own and work independently on assigned deliverables, but also collaborate with multiple team members and stakeholders when necessary

                                                    +

                                                    • Solid communications skills – verbal and written

                                                    +

                                                    • Strong time-management skills and ability to work on multiple projects at once

                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • -
                                                    -


                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You?

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    -

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,4,51,https://talenthub.vectorinstitute.ai/jobs/69901871-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-06-27T22:06:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -934f6af7-1592-4a5d-a693-4126443ec757,69949312,Roche,Computational Biologist,on_site,"Canada , - Ontario , - Mississauga",2021-06-28T22:06:37.764Z,"
                                                    -

                                                    -

                                                    Title: Computational Biologist
                                                    Department: Global IT Solution Center
                                                    Location: Mississauga Head Office
                                                    Duration: Full time

                                                    -

                                                    -

                                                    Project

                                                    -

                                                    Looking for interdisciplinary scientist with experience in computing and biology to perform scientific data analyses in partnership with Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

                                                    -

                                                    -

                                                    Required Skills

                                                    -
                                                      -
                                                    • 3-6 years of experience required with minimum of a Bachelor’s Degree in Information Technology, Bioinformatics, or related sciences; advanced degree in Biological field with significant computational training also acceptable; PhD and post-doctoral experience preferred.
                                                    • -
                                                    • Unix/Linux proficiency and R programming including experience with Bioconductor libraries.
                                                    • -
                                                    • Documented experience with sequencing/genomic data analysis (NGS) and related bioinformatics tools and libraries (eg. RNAseq analysis, WGS, single cell analyses).
                                                    • -
                                                    • Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.
                                                    • -
                                                    • Excellent communication, advanced English reading, writing, listening and speaking skills.
                                                    • -
                                                    • Responsible and reliable; goal and task oriented. Able to work independently to answer scientific questions using public and private data sets.
                                                    • -
                                                    -

                                                    -

                                                    Preferred Skills and Experience

                                                    -
                                                      -
                                                    • Strong background, experience, or degree in biomedical field is preferred (eg. Oncology, Neuroscience, Immunology, Microbiology, Genetics, etc.).
                                                    • -
                                                    • History of scientific authorship. (First, middle, and senior author articles all beneficial.)
                                                    • -
                                                    • Experience with version control and issue tracking systems (eg. git, JIRA).
                                                    • -
                                                    • Experience with SQL and no-SQL databases.
                                                    • -
                                                    • Experience working with High Performance Computing (HPC) environments.
                                                    • -
                                                    • Machine Learning and Data Mining skills are a benefit.
                                                    • -
                                                    • Please briefly highlight publications/experience with computational analysis of Single Cell (eg. scRNAseq), ATACseq, ChipSeq, GWAS, WES, Gene Set or Pathway Analyses, and related datasets.
                                                    • -
                                                    • Please briefly highlight publications/experience with epigenetic, proteomic, lipidomic, functional genomic, iPSC, structural biology, or microbiome analyses.
                                                    • -
                                                    -

                                                    -

                                                    List of Duties

                                                    -
                                                      -
                                                    • Engage with partner scientists at Genentech, understand their biological questions, and use public and internal databases to provide reliable scientific answers.
                                                    • -
                                                    • Running existing pipelines to process and analyze sequencing data.
                                                    • -
                                                    • Reporting, documenting and visualizing data analysis results using open source and internally developed tools.
                                                    • -
                                                    • Occasional development of custom R/Shiny applications.
                                                    • -
                                                    -

                                                    -

                                                    Our offer

                                                    -
                                                      -
                                                    • Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function;
                                                    • -
                                                    • Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives;
                                                    • -
                                                    • Attractive and competitive salary and package;
                                                    • -
                                                    • Professional development culture supported by training, development plans, and international opportunities.
                                                    • -
                                                    • Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).
                                                    • -
                                                    -

                                                    -

                                                    Please submit full academic CV with publication history and cover letter.

                                                    -

                                                    In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions.

                                                    -

                                                    -

                                                    Position will be posted until filled.

                                                    -

                                                    -

                                                    NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                    -

                                                    -

                                                    AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                    -

                                                    -
                                                    ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-113413&locale=en&title=Computational+Biologist,feed-importer@jobboard.io,,,,2021-07-08T22:38:35.398Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/69949312-computational-biologist-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-113413&locale=en&title=Computational+Biologist,expired,2021-06-28T22:06:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -d0a3eb06-862c-4cb6-b68c-b546b833b1a7,69949424,RBC,Senior Data Scientist,on_site,"Toronto, Ontario, Canada",2021-06-28T22:09:06.441Z,"
                                                    -

                                                    What is the opportunity?

                                                    -

                                                    As a Senior Data Scientist, you will develop, design, and implement organization-wide cutting-edge AIOps(AI for IT Operations) solutions at RBC Technology Infrastructure. Leveraging leading edge technologies and various data sets, you will build machine learning based products to facilitate informed decision-making and business process optimization in order to minimize outages and reduce downtime of RBC services which save considerable amount of costs and also improve user experience.

                                                    -

                                                    -

                                                    What will you do?

                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/12332276/senior-analytics-implementation-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-04-29T15:36:04.856Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/59413893-senior-analytics-implementation-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12332276/senior-analytics-implementation-specialist-toronto-ca/,expired,2021-04-22T15:31:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +567095db-ec28-4f9e-aa98-382b1194f770,59432033,KPMG,"Data Scientist, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-04-22T19:13:22.315Z,"

                                                    Job Description

                                                    +

                                                    Overview

                                                    +

                                                    Why KPMG Digital?

                                                    +

                                                    Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                    +

                                                    +

                                                    KPMG Digital in Toronto has an exciting opportunity for a Data Scientist, Senior Manager to join our team! This role will be a rewarding experience for you if you:

                                                      -
                                                    • Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
                                                    • -
                                                    • Collaborate proactively with various business and operation units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making
                                                    • -
                                                    • Prepare and integrate large and various types of data (structured/non-structured)
                                                    • -
                                                    • Implement machine learning models, data mining methods, and statistical analysis
                                                    • -
                                                    • Leverage visualization tools/packages to create powerful representations of results
                                                    • -
                                                    • Produce data-driven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives
                                                    • -
                                                    • Collaborate with the development team to deploy production-scale solutions
                                                    • -
                                                    • Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
                                                    • +
                                                    • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                    • +
                                                    • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                    • +
                                                    • Have a permanent “figure it out” mindset
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -

                                                    Must-have

                                                    +

                                                    +

                                                    Video: Digital Opportunities

                                                    +


                                                    What you will do

                                                      -
                                                    • PhD. or Masters in Computer Science, Statistics, or relevant fields.
                                                    • -
                                                    • Expert in Python programming to write production-ready codes. Strong data profiling, cleaning, mining and technical documentation skills
                                                    • -
                                                    • 2+ years of experience in developing machine learning models for real business problems
                                                    • -
                                                    • 2+ years of experience with NLP and text analytics methods and packages
                                                    • -
                                                    • Experience with big data technologies – parallel processing techniques and Apache Spark, NoSQL/SQL databases
                                                    • -
                                                    • Proficient in Linux environment, shell scripting, and Git
                                                    • +
                                                    • Work closely with clients in understanding key business issues.
                                                    • +
                                                    • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                    • +
                                                    • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                    • +
                                                    • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                                    • +
                                                    • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                    • +
                                                    • Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
                                                    • +
                                                    • Work with large volumes of data (structured and unstructured).
                                                    • +
                                                    • Architect the data platform models for scalability, repeatability and performance to build data solutions
                                                    • +
                                                    • Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
                                                    • +
                                                    • Perform quantitative analysis of data issues.
                                                    • +
                                                    • Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
                                                    • +
                                                    • Education and professional working experience in math, statistics, operations research, engineering, computer science or econometrics.
                                                    -

                                                    -

                                                    Nice-to-have

                                                    +


                                                    What you bring to the role

                                                      -
                                                    • Strong knowledge and experience of different deep neural networks architectures (RNN, CNN, GAN, seq2seq/Transformers) and transfer learning
                                                    • -
                                                    • Experience with MLOps to build end-to-end pipeline and deploying models in production
                                                    • -
                                                    • Familiar with container-type environment: Docker, Openshift
                                                    • -
                                                    • Experience in graph analytics and time-series analysis
                                                    • +
                                                    • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
                                                    • +
                                                    • Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
                                                    • +
                                                    • Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs, and development of recommendations.
                                                    • +
                                                    • Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling.
                                                    • +
                                                    • Experience in mainstream cloud services: AWS, MS Azure, GCP and IBM Cloud Pak

                                                      +

                                                      +
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -

                                                    +

                                                    Keys to your success:

                                                      -
                                                    • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                    • -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • -
                                                    • Ability to make a difference and lasting impact
                                                    • -
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • -
                                                    • A world-class training program in financial services
                                                    • -
                                                    • Flexible work/life balance options
                                                    • -
                                                    • Opportunities to do challenging work
                                                    • -
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • -
                                                    • Opportunities to building close relationships with clients
                                                    • -
                                                    • Access to a variety of job opportunities across business and geographies
                                                    • +
                                                    • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
                                                    • +
                                                    • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectation
                                                    -

                                                    -

                                                    -

                                                    Learn more about RBC Tech Jobs



                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front Street W
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel(%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 05/14/2021
                                                    Platform: Technology and Operations

                                                    Req ID: 349413
                                                    Ad Code(s):

                                                    -

                                                    -
                                                    ",,https://jobs.rbc.com/ca/en/job/349413/Senior-Data-Scientist,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/69949424-senior-data-scientist-at-rbc,https://jobs.rbc.com/ca/en/job/349413/Senior-Data-Scientist,expired,2021-06-28T22:09:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -b62c056d-6d21-49d6-93a0-d6d29b9bc83a,34756942,TD Bank Group,Software Developer Co-Op - TD Innovation Lab,on_site,"Waterloo, ON, Canada",2020-05-19T20:21:14.699Z,"

                                                    Company Overview

                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    All applications are due Tuesday, January 19th, 2021 at 11:59 pm

                                                    -

                                                    Department Overview

                                                    -

                                                    Have you ever wondered how North America’s most successful companies develop some of their most innovative ideas? If so, consider joining our lab-based, fast-paced, and passionate team that ideates, builds, and tests innovative solutions that will shape the future of banking – and particularly targeted at students just like you. Think … developing solutions for students, by students!

                                                    -

                                                    TD Lab is an authentically lean and highly collaborative work environment where a progressive team is changing the way this bank thinks about our customers – one sprint at a time. Make your mark in a setting where every day operates like a well-funded start-up, while helping TD Bank lead the way in fintech!

                                                    -

                                                    As a software developer co-op in a role like no other, explore emerging technologies and be empowered to start/stop projects because of what the market tells you. Depending on internal TD Bank policies and legislation from all levels of government, you will either work in a vast, open and collaborative workspace in the Waterloo Region’s Communitech Hub alongside other leaders of corporate innovation, Velocity Garage, and a host of start-ups or in a virtual environment with TD Bank provided equipment, along with robust programming and professional development opportunities.

                                                    +


                                                    Our Values, The KPMG Way

                                                    +

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    -

                                                    Job Description

                                                    -

                                                    You will truly learn, apply and experience lean concept and app development by:

                                                    -
                                                      -
                                                    • Focusing on the right thing through design, prototyping and testing ideas with customers (out of the building)
                                                    • -
                                                    • Answering critical business questions as challenges by using methods such as the Google Design Sprint
                                                    • -
                                                    • Rapidly develop your vision of a solution into functional prototypes (for web and/or mobile)
                                                    • -
                                                    • Investigate potential of emerging and enabling technologies (e.g. AI, big data, platform features)
                                                    • -
                                                    • Refine presentation skills by pitching sprint demos, concepts and apps to senior technical executives
                                                    • -
                                                    • Share developer insights with other teams just as eager to learn
                                                    • -
                                                    +

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    -

                                                    Requirements

                                                    -

                                                    Every day is different and the skills you bring that would be an asset include:

                                                    -
                                                      -
                                                    • Must be currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                    • -
                                                    • Object oriented programming languages (Java, C++, Objective C, etc)
                                                    • -
                                                    • iOS (Swift), Android, or Flutter (Dart) mobile development experience
                                                    • -
                                                    • Web development experience (HTML, CSS, JavaScript, React, etc)
                                                    • -
                                                    • RESTful APIs (NodeJS, Express, etc)
                                                    • -
                                                    • Firebase (Firestore, Authentication, Analytics, Functions)
                                                    • -
                                                    • Git version control
                                                    • -
                                                    +

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    -

                                                    Additional Information

                                                    -

                                                    The Lab’s Software Developers will mentor and guide you through our end-to-end design and development process. You will work on projects throughout the term and be exposed to the latest in modern technologies. You will have the opportunity to work as an intrapreneur, bringing impactful ideas to life while taking on challenging technical tasks. You can read about our co-op experience from one of our former co-op employees here: https://medium.com/td-lab/my-internship-with-td-labs-73675b3e2fb5

                                                    -

                                                    If you are a self-starter, like to think outside the box, and are looking for a challenge – this job is for you!

                                                    -

                                                    Please ensure your application includes:

                                                    -
                                                      -
                                                    • Cover letter (maximum 1 page)
                                                    • -
                                                    • Resume (maximum 2 pages)
                                                    • -
                                                    • Unofficial university transcript
                                                    • -
                                                    -

                                                    This position is a 4-month work term and will commence September 8, 2020.

                                                    -

                                                    TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change. Please note: correct work location address is 151 Charles St W, Kitchener, ON.

                                                    -

                                                    To learn more about #TDLabLife be sure to check out: Instagram (@TDLab_), Twitter (@tdlab) & Medium (https://medium.com/td-lab)

                                                    +

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                    ",,https://careers.kpmg.ca/professionals/jobs/6874?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-05-19T21:13:00.000Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/59432033-data-scientist-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-04-22T19:13:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, +5ae056c1-0dc3-4190-9203-a525781e22e4,59432270,BMO Financial Group,"Associate, Business & Client Analytics",on_site,"Toronto, ON, Canada",2021-04-22T19:16:24.084Z,"

                                                    Address:

                                                    +

                                                    100 King Street West

                                                    -

                                                    Hours

                                                    -

                                                    37.5

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    ",,https://jobs.td.com/en-CA/jobs/11021883/software-developer-co-op-td-innovation-lab-waterloo-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-06-01T16:12:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/34756942-software-developer-co-op-td-innovation-lab-at-td-bank-group,,expired,2020-05-19T20:21:00.000Z,admin,Enterprise (500+),,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -60223133-8f8e-422b-b33b-7d11918ab028,34834068,TD Bank Group,Adoption Data Analytics & Reporting Co-op/Intern,on_site,"Toronto, ON, Canada",2020-05-21T13:25:01.237Z,"

                                                    TD Description

                                                    +

                                                    Job Family Group:

                                                    +

                                                    Data Analytics & Reporting

                                                    -

                                                    Tell us your story. Don't go unnoticed. Explain why you're a winning candidate. Think ""TD"" if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here's our story: jobs.td.com

                                                    -

                                                    Department Overview

                                                    -

                                                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                                    Our Leaders are committed to people development, career advancement and value diversity and inclusion. The analytics and data science teams across the bank are responsible for transforming TD into a data-driven organization. We are looking for someone who will be an ambitious and dedicated contributor to our teams. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and technology fronts.

                                                    -

                                                    Job Description

                                                    +

                                                    Deliver Capital Markets (CM) client-level reporting/analytics and business insights to senior executives, front-line professionals to support their business development, performance management, and strategic objectives.

                                                    -

                                                    The Data Analytics & Reporting Co-op belongs to the Product Ownership/Adoption pillar. The specialist leverages experience and understanding of data, analytics and reporting practices to provide business partners with relevant and high-impact advice, solutions and adoption support to leverage a Hadoop platform for data storage, management and analytics. The role provides functional and technical advice for business across the Enterprise on how best to leverage the Hadoop technologies for their analytic practices.

                                                    The Adoption Data Analytics & Reporting Co-op/Intern will perform a variety of activities, which may include:

                                                    +

                                                    KNOWLEDGE AND SKILLS

                                                    +

                                                    +

                                                    Knowledge:

                                                      -
                                                    • A general understanding of Big Data technologies & programming languages (Hadoop, Hive, Impala, R, Python) as well as traditional databases (DB2, Oracle, Teradata)
                                                    • -
                                                    • Consultative support to enable business to migrate their data activities from traditional tools and applications for analytics to enterprise platforms and solutions
                                                    • -
                                                    • Documentation and knowledge dissemination of best practices for working in the enterprise ecosystem
                                                    • -
                                                    • Evolvement of training curriculum to include new enterprise tools and capabilities
                                                    • -
                                                    • Solicit and document stakeholder feedback while working with them to adopt and leverage the enterprise tools and capabilities
                                                    • +
                                                    • Possesses a university degree/college diploma in Computer Science and/or Business Administration
                                                    • +
                                                    • Possesses 3 - 5 years systems analysis, programming, and database experience with business knowledge
                                                    • +
                                                    • Understanding of Capital Markets products
                                                    • +
                                                    • Knowledge of BMO’s financial systems an asset
                                                    • +
                                                    • Understanding of financial accounting concepts
                                                    • +
                                                    • Demonstrates advanced knowledge of T-SQL for writing queries and procedures
                                                    • +
                                                    • Possesses advanced knowledge of Microsoft Excel: required for business analysis and presentation of findings
                                                    • +
                                                    • Possesses advanced knowledge of Microsoft SQL Server 2012: required for writing queries and procedures as well as for views for reporting purposes
                                                    • +
                                                    • Possesses advanced knowledge of report/analytic publishing and distribution
                                                    • +
                                                    • Possesses solid understanding of database design and development methodology
                                                    • +
                                                    • Demonstrates understanding of relevant and emerging database technologies and tools
                                                    • +
                                                    • Possesses general knowledge of information security
                                                    • +
                                                    • Possesses knowledge of Microsoft Business Intelligence best practices
                                                    • +
                                                    • Possesses some understanding of business requirements and the Software Development Life Cycle (SDLC)
                                                    • +
                                                    • Working knowledge of reporting visualization tools SpotFire or Power BI considered an asset
                                                    -


                                                    The role will have general experience solving data, analytics and reporting problems through sustainable design and creative problem solving, either in a work and/or educational setting. The successful applicant will have practical exposure and understanding of a broad spectrum of data, analytics and reporting uses; application design, data modeling, data integration, analytics, advanced analytics and Big Data concepts. An ideal candidate will have delivered BI Reporting & Analytical projects utilizing the aforementioned techniques within a LOB

                                                    -

                                                    Job Requirements

                                                    +

                                                    Skills:

                                                      -
                                                    • Currently enrolled in a recognized post-secondary program and graduating with a university degree by 2021
                                                    • -
                                                    • Experience (1+ years) across data, analytics and reporting roles, which may include: warehouse / BI platform ownership, Business Information Management, Business Analytics, Advanced Analytics
                                                    • -
                                                    • Knowledge of Big Data tools and concepts such as Hadoop, Hive and Spark is valued
                                                    • -
                                                    • Superior relationship management skills - ability to build relationships and work collaboratively to identify solutions, resolve problems quickly and create bridges between groups
                                                    • -
                                                    • Excellent communication skills - Ability to communicate concepts clearly to both business and technology teams
                                                    • -
                                                    • Bring a strong willingness to learn and adapt to evolving tools and technologies in keeping with industry trends
                                                    • -
                                                    • A team player who shares their knowledge and supports the Enterprise success
                                                    • -
                                                    • Ability to work effectively in a fast-paced environment, multi-task and work with minimal supervision
                                                    • -
                                                    • Experience in working with data in numerous languages across many platforms is highly valued
                                                    • -
                                                    • Strong statistical and analytical skills and interest are necessary.
                                                    • +
                                                    • Possesses excellent analytical skills for complex problem solving
                                                    • +
                                                    • Exhibits good communication skills, both written and verbal
                                                    • +
                                                    • Advanced skills in MS Office applications such as Excel, Access, and PowerPoint
                                                    • +
                                                    • Detail oriented with good organizational skills

                                                    -

                                                    Additional Information

                                                    -

                                                    Please ensure your application includes:

                                                    +

                                                    Key Accountabilities

                                                    +

                                                    Business Delivery:

                                                      -
                                                    • Cover Letter
                                                    • -
                                                    • Resume (maximum 2 pages)
                                                    • -
                                                    • Unofficial university transcript
                                                    • +
                                                    • Assists in the execution and delivery of CM reporting/analytics to all Business & Client Analytics stakeholders
                                                    • +
                                                    • Assists in the design, development, testing and implementation of business logic
                                                    • +
                                                    • Assists in the design, development, testing, and implementation of enhancements to existing databases and/or creation of new databases
                                                    • +
                                                    • Performs database and report tuning
                                                    • +
                                                    • Design, develop and implement analytical solutions to help resolve priority business problems.
                                                    • +
                                                    • Help maintain existing automated solutions supporting LOB and team functions
                                                    -


                                                    This position is a 4-month work term (potential to extend to 8 months) and will commence September 8, 2020.

                                                    TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                                    -

                                                    Inclusiveness

                                                    -

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    ",,https://jobs.td.com/en-CA/jobs/11028518/adoption-data-analytics-reporting-co-op-intern-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-06-01T16:13:00.000Z,False,0,7,24,https://talenthub.vectorinstitute.ai/jobs/34834068-adoption-data-analytics-reporting-co-op-intern-at-td-bank-group,,expired,2020-05-21T13:25:00.000Z,admin,Enterprise (500+),,Financial Services,Internship/Co-op,No Degree,New Posting, -88f1b152-30e2-4e98-991f-ba3d449fc633,35248514,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2020-06-02T20:32:27.059Z,"

                                                    Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                    -

                                                    Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                    -

                                                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                    -

                                                    Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                    -

                                                    As a machine learning scientist, you will

                                                    +

                                                    Operational Effectiveness:

                                                      -
                                                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                    • -
                                                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                    • -
                                                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                    • -
                                                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                    • +
                                                    • Creates/maintains database and operational documentation
                                                    • +
                                                    • Improves database standards to provide optimum maintenance and consistency across applications
                                                    • +
                                                    • Tests ongoing improvements to database business logic and process improvement initiatives
                                                    -

                                                    Required Qualifications

                                                    +

                                                    +

                                                    Client Analytic Support:

                                                      -
                                                    • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                    • -
                                                    • Strong background in machine learning
                                                    • -
                                                    • 5+ years of research experience with publication record
                                                    • -
                                                    • Proven track record of applying machine learning to solve real-world problems
                                                    • +
                                                    • Provides analytical support and business analysis to internal clients and Client Analytics team
                                                    • +
                                                    • Participates in and contributes to project and team meetings, interacting and collaborating with team members and other departments, as appropriate, to understand project requirement
                                                    -

                                                    Preferred Qualifications

                                                    +

                                                    +

                                                    Cross Functional Relationships

                                                      -
                                                    • Experience with deep learning and/or collaborative filtering
                                                    • -
                                                    • Hands on experience in software systems development and SaaS applications
                                                    • -
                                                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                    • -
                                                    • Experience using GPUs for accelerated deep learning training
                                                    • -
                                                    • Familiarity with AWS
                                                    • +
                                                    • Front Office (Line of Business)
                                                    • +
                                                    • Business & Strategy Management
                                                    • +
                                                    • Client Services
                                                    • +
                                                    • BMO CM Finance
                                                    • +
                                                    • Technology Development (TD)
                                                    • +
                                                    • BMO CM Risk Management (BMO CM RM)
                                                    • +
                                                    • Global Financing Services
                                                    -

                                                    Benefits

                                                    -
                                                      -
                                                    • Entrepreneurial and inclusive culture
                                                    • -
                                                    • Excellent health coverage
                                                    • -
                                                    • Four weeks paid vacation
                                                    • -
                                                    • Catered lunches twice a week over machine learning talks
                                                    • -
                                                    • Opportunities to collaborate with faculty at the Vector Institute
                                                    • -
                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-07-02T20:32:00.000Z,False,2,0,113,https://talenthub.vectorinstitute.ai/jobs/35248514-machine-learning-scientist-at-layer-6,,expired,2020-06-02T20:32:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, -2599a43a-45a3-4b08-ae5b-d8479ee2f041,35495211,Manulife,Data Engineer,on_site,"Waterloo, ON, Canada",2020-06-08T16:49:07.696Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    -

                                                    Job Description

                                                    +

                                                    Working Conditions

                                                    +

                                                    The working environment provides minimal exposure to discomfort or risk to safety. When reviewing related documentation, designs or code, this job requires focused visual concentration. Some requirement for travel and pressure in meeting project deliverables and in participating in crisis recovery situations poses some mental stress. Limited off hours support required.

                                                    -

                                                    We’re looking for someone who knows data: big data (but not necessarily “Big Data”), little data, clean data, messy data and all sorts of data in between. You’ve seen a little bit of everything and you enjoy working with it.

                                                    -

                                                    That’s not to say this is an analytics role, though. We’re not looking primarily for someone with experience analyzing or modeling data (though that wouldn’t be a bad thing to bring to the table) as much as someone with experience moving it around, tidying it up and pulling it all together so that people can make use of it. We have data spread all over the place and in all sorts of different formats, and we want you to help us do something about that.

                                                    -

                                                    Maybe you’ve worked as a Database Architect, a DBA, a Developer or an ETL Designer. In fact, bonus points to you if you’re able to check off more than one of those boxes. What’s most important, though, is that you’re willing and able to help us design, implement and populate data models that make it possible for us to get our most important data into a single location and into a consistent format. Come help us evolve in a data-driven powerhouse!

                                                    -

                                                    What Will I Be Doing?

                                                    -
                                                      -
                                                    • You will become a key part of the life cycle of our data
                                                    • -
                                                    • You will become a Manulife data expert; you will know where our data is, how it moves around and who is using it
                                                    • -
                                                    • You will help with (and eventually lead) the design, development and implementation of new data processes, models and flows
                                                    • -
                                                    • You will work with business partners and subject matter experts to understand the context of our data; not just how it’s structured, but how real people use it (or should not use it) to make informed decisions
                                                    • -
                                                    • You will soon know better than anyone what sorts of headaches the users of our data may have and will be instrumental in brainstorming solutions to help make their lives better
                                                    • -
                                                    • You will be involved in many different things: today you might be doing some quick coding to generate a bunch of sample data, tomorrow you might be building data flows in Apache NiFi, building stored procedures for an SQL Server database, participating in a Proof of Technology session or locked in a room with a small “tiger team” tasked with solving an issue that’s just flared up
                                                    • -

                                                    -

                                                    Does that sound a little vague? Good, because life is a little vague and so are the best jobs. We can’t guarantee you’ll be using a specific set of tools or techniques day to day because this isn’t that kind of job. You’ll need to be self-motivated, resilient and comfortable with uncertainty. You’ll have to learn on your feet from time to time, and occasionally even teach others as you’re learning. No one is going to ask you to be an expert in something you’ve never done before, but you’ll need to be the kind of person who gets excited about becoming an expert in something they’ve never done before. Show us what you’re capable of and learn a lot along the way!

                                                    +

                                                    We’re here to help

                                                    -

                                                    Qualifications

                                                    -

                                                    This isn’t a junior role, so we’re looking for someone with at least 3-5 years of related work experience. You should have specific experience in some of these areas and the willingness to be trained (and to some extent train yourself) in any areas you’re lacking:

                                                    -
                                                      -
                                                    • Databases: traditional or NoSQL - designing/modeling, administering, writing complex queries/stored procedures
                                                    • -
                                                    • Coding/scripting (not necessarily as a Developer) – Java, C#, Python
                                                    • -
                                                    • ETL/ELT/Data integration – SSIS, PowerCenter, Sqoop, NiFi, Kafka, Storm
                                                    • -
                                                    • Various SLDC methods (i.e. agile, iterative, waterfall, etc.)
                                                    • -
                                                    +

                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                    -

                                                    Bonus points for any experience with: DevOps or Continuous Delivery tools and processes, cloud (IaaS/PaaS), data profiling and analysis, and/or Hortonworks Data Platform / DataFlow.

                                                    +

                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                    -

                                                    Am I Right for the Job?

                                                    -

                                                    We're looking for a passionate, motivated individual to join our team. Experience with any or all the tools and technologies mentioned is a huge plus, but don't let one or more of those list items deter you! If you're excited by this posting, we want to hear from you!

                                                    +

                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                    -

                                                    What about Perks?

                                                    -

                                                    Manulife has lots of perks including, but not limited to:

                                                    +

                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Associate--Business---Client-Analytics_R210003238-1,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-05-19T21:10:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/59432270-associate-business-client-analytics-at-bmo-financial-group,,expired,2021-04-22T19:16:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,Re-Posting an Expired Job, +1843c890-319a-4004-9026-f5497fb16dab,62901444,Borealis AI,Machine Learning Software Engineer,on_site,"Toronto, + Montreal, + Vancouver",2021-05-14T19:50:32.176Z,"

                                                    What’s the opportunity?

                                                    We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                    +

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    Your responsibilities include:

                                                    • Building machine learning-based software solutions for solving important problems;
                                                    • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                    • Collaborating with research and business teams to converge on the best solutions;
                                                    • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                    • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                    • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                    • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                    • +

                                                    You’re our ideal candidate if you:

                                                    • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                    • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                    • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                    • Familiarity with the Unix command line and bash scripting;
                                                    • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                    • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                    • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                    • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                    • +

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • +

                                                    How to apply:

                                                    Please email your CV, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-06-13T20:01:02.924Z,False,1,0,55,https://talenthub.vectorinstitute.ai/jobs/62901444-machine-learning-software-engineer-at-borealis-ai,,expired,2021-05-14T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c23e5042-9430-4032-8030-7d38d210d546,62902718,EY,CT Senior Data Architect (Global Tax Platform),on_site,"Toronto, ON, Canada",2021-05-14T20:58:11.208Z,"

                                                    EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
                                                    Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
                                                    The selected candidate
                                                    • Develops large and complex data architecture, composed of models, policies, rules or standards that govern which data is collected and how it is stored, arranged, integrated and put to use in data systems, including the design, build and management of data infrastructure to address business requirements
                                                    • Creates sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk
                                                    • Develops relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions/ways of working/technologies and proactively articulating these to the business
                                                    Your key responsibilities include
                                                    • Create and maintain conceptual, logical and physical database models
                                                    • Document functional requirements and system specifications into the data architecture and detailed design specifications for current and proposed designs
                                                    • Document and adhere to development standards and best practices in database designs
                                                    • Maintain highly effective and consistent communication within the team, peers, and the leadership team
                                                    • Reverse engineer SQL code and modify it to solve problems/issues
                                                    • Contribute to the definition and implementation of data governance practices
                                                    • Design both data structures and data integration practices
                                                    • Work closely with the infrastructure teams to create a physical environment to support data services
                                                    • Evaluate new and existing (internal and external) technologies and services in support of data services and data analytics objectivesSkills and attributes for success • Understanding of business process reengineering and business modeling concepts, business systems development and analysis
                                                    • Hands-on experience in designing and implementing hybrid cloud solutions on Azure
                                                    • Experience working with newer versions of SQL Server (2014 and newer)
                                                    • Experience applying SAFe/Scrum/Kanban methodologies
                                                    • Ability to exercise judgment in solving technical, operational, and organizational challenges
                                                    • Expert programming, performance tuning and troubleshooting skills
                                                    • Demonstrate proactive approach to identifying issues and presenting solutions and options, and where appropriate, leading to resolution
                                                    • Ability to mentor and lead more junior team members Minimum Qualifications • 10+ years demonstratable work experience as a Data Architect
                                                    • 8+ years T-SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer)
                                                    • Must possess expert T-SQL programming, performance tuning and troubleshooting skills
                                                    • Create database objects and T-SQL scripts
                                                    • Experience designing data warehousing solutions
                                                    • In-depth understanding of database structure principles
                                                    • Seamlessly able to translate business requirements to technology requirements Preferred Qualifications • Erwin Data Modeling experience
                                                    • Accounting and/or Tax knowledge
                                                    • Familiarity with Microsoft Azure, Azure SQL DB, Azure Data Studio, Azure Data Factory & Azure Databricks
                                                    • Expertise with No-SQL databases such as Azure Cosmos Db and Mongo Db Education • B.S. or M.S. in Computer Engineering, Computer Science, Data Analytics, Data Science, or related field preferred What we look for • Strong analytical skills and problem-solving ability
                                                    • A self-starter & independent thinker who is curious, creative and has ambition to learn
                                                    • Excellent inter-personal, communication, collaboration, and presentation skills
                                                    • Customer focused
                                                    • Excellent time management skills
                                                    • Positive and constructive minded
                                                    • Takes responsibility for continuous self-learning
                                                    • Takes the lead and makes decisions in critical times and tough circumstances
                                                    • Attention to detail
                                                    • High levels of integrity and honesty What working at EY offers

                                                    We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

                                                    • Support, coaching and feedback from some of the most engaging colleagues around
                                                    • Opportunities to develop new skills and progress your career
                                                    • The freedom and flexibility to handle your role in a way that’s right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Apply now.

                                                    ",,https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/ct-senior-data-architect-global-tax-platform-200285,aimasters@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2021-06-13T20:58:13.175Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/62902718-ct-senior-data-architect-global-tax-platform-at-ey,,expired,2021-05-14T20:58:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bb24fb34-e1a9-4b7b-8a7b-b8a526aabeb9,62902956,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2021-05-14T21:16:36.542Z,"

                                                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                    +

                                                    We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                    +

                                                    The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                    +

                                                    What are your main responsibilities?

                                                      -
                                                    • Competitive compensation
                                                    • -
                                                    • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                    • -
                                                    • Manulife Share Ownership Program with employer matching
                                                    • -
                                                    • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                    • -
                                                    • Financial support for ongoing training, learning, and education
                                                    • -
                                                    • Monthly Innovation Days (Hackathons)
                                                    • -
                                                    • Wearing jeans to work every day
                                                    • -
                                                    • An abundance of career paths and opportunities to advance
                                                    • -
                                                    • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements
                                                    • +
                                                    • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                    • +
                                                    • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                    • +
                                                    • Go-to person for data and model delivery within Layer 6
                                                    • +
                                                    • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                                                    -

                                                    This is a permanent full time role based in our Toronto, Ontario office.

                                                    -

                                                    -

                                                    -

                                                    -


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    -


                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -



                                                    -

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/914199/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-06-29T14:36:00.000Z,False,0,4,56,https://talenthub.vectorinstitute.ai/jobs/35495211-data-engineer-at-manulife,,expired,2020-06-08T16:49:00.000Z,admin,Enterprise (500+),,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -0555a230-20da-4e40-936a-2098f2e3f51c,35749332,Vector Institute,Industry Innovation Coordinator,on_site,"Toronto, ON, Canada",2020-06-18T19:46:19.276Z,"

                                                    Position Summary:

                                                    -

                                                    -

                                                    Reporting to the Executive Director of Applied AI Programs, the Industry Innovation Coordinator will provide coordination support for a team that provides programs and services to help industry partners scale their AI capabilities to compete in the global economy.

                                                    -

                                                    -

                                                    Key Responsibilities:

                                                    -

                                                    +

                                                    Required Technical Skills

                                                      -
                                                    • Provide scheduling and executive support for the Chief Commercialization Officer & VP, Industry Innovation;
                                                    • -
                                                    • Provide scheduling support for the Executive Director, Applied AI Programs;
                                                    • -
                                                    • Ensure customer relationship management system entries are updated on a weekly basis;
                                                    • -
                                                    • Ensure effective internal industry innovation team meetings by developing agendas, recording and tracking action items;
                                                    • -
                                                    • Maintain an electronic shared drive and records management system;
                                                    • -
                                                    • Oversee the Industry Innovation section of Vector’s intranet site;
                                                    • -
                                                    • Provide support drafting business cases, contracts and other documents as required;
                                                    • -
                                                    • Track progress and provided regular updates on the industry innovation team implementation plan and metrics;
                                                    • -
                                                    • Ensure correspondence and invitations are replied to within Vector’s customer service standard;
                                                    • -
                                                    • Ensure efficient and effective communication and workflow with other workstreams (e.g. health, research, communications, operations, CEOs office); and,
                                                    • -
                                                    • Perform other related duties and responsibilities as determined by the Executive Director of Applied Programs.
                                                    • +
                                                    • BSc+ in Computer Science, Math, Physics, or similar
                                                    • +
                                                    • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                    • +
                                                    • 3+ years experience of building machine learning production system
                                                    • +
                                                    • Expert level skills in system design
                                                    • +
                                                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                    • +
                                                    • Strong knowledge of Machine Learning and Deep Learning
                                                    • +
                                                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                    • +
                                                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                    • +
                                                    • Strong experience with Scala and Java 8

                                                    -

                                                    Profile of the Ideal Candidate:

                                                    +

                                                    Nice to have Skills

                                                    +
                                                    • C++, Python experience

                                                    +

                                                    Benefits

                                                      -
                                                    • You have a university or college degree
                                                    • -
                                                    • You are either currently in, or have previously been in, an administrative role in a fast-paced, growth-oriented organization where you are frequently called on to resolve multiple problems in a timely manner, sometimes without formal procedures
                                                    • -
                                                    • You are proficient in Microsoft Office, Customer Relationship Management software (e.g., Insightly), and the Google Suite of services
                                                    • -
                                                    • You are technically savvy and can master new software easily
                                                    • -
                                                    • You are interested in experimenting with AI-based applications, to learn how they can increase the efficiency of Vector’s administrative processes
                                                    • -
                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven;
                                                    • -
                                                    • You have excellent verbal and written English communication skills
                                                    • -
                                                    • You have strong time management and organizational skills
                                                    • -
                                                    • You are comfortable working with a diverse range of clients (e.g., leadership teams, operations staff, graduate students, and external partners), maintaining confidentiality and providing all with a trusted, respectful point of contact
                                                    • -
                                                    • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture
                                                    • -
                                                    • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem
                                                    • -
                                                    +
                                                  • Entrepreneurial and inclusive culture
                                                  • +
                                                  • Excellent health coverage and pension plan
                                                  • +
                                                  • Four weeks paid vacation
                                                  • +
                                                  • Catered lunches twice a week over machine learning talks
                                                  • +",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-06-13T21:16:38.113Z,False,2,0,24,https://talenthub.vectorinstitute.ai/jobs/62902956-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2021-05-14T21:16:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +d9d01261-2fc6-4fc8-a5c5-7509b1b8c97e,62903530,Scotiabank,Data Engineer - Data Office,on_site,"Toronto, ON, Canada",2021-05-14T21:21:35.684Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. Review of applications will begin June 24, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    +

                                                    Purpose:

                                                    +


                                                    Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Data Engineer role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

                                                    -

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    -

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=80&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-06-29T14:37:00.000Z,False,0,11,56,https://talenthub.vectorinstitute.ai/jobs/35749332-industry-innovation-coordinator-at-vector-institute,,expired,2020-06-18T19:46:00.000Z,admin,Scaling (20-499),,Education,Entry Level,Bachelors Degree,New Posting, -d2aa29ab-d243-49f1-90ea-07bab82b4f5d,36049336,Sun Life Financial,SQL Client DBA,on_site,"North York, Toronto, ON, Canada",2020-06-29T17:50:28.401Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    +

                                                    Accountabilities:

                                                    +


                                                    • Gathers information across various sources / platforms and manages queries and programming of the structured data / large databases to address complex business issues as part of one or more workstreams within a larger project
                                                    • Exercises judgment while employing various data techniques and procedures to perform the continuous iteration and analysis of past and current data, to obtain insights about a business challenge / issue that can lead to improved decision-making
                                                    • Manages enhancement of existing programming tools and systems to support business ad-hoc queries
                                                    • Manages end to end design, development, maintenance and management of databases / data marts
                                                    • Profiles and analyzes source data to determine the best reporting structures to build
                                                    • Conducts metadata management, data cleaning and data lineage documentation
                                                    • Provides day-to-day support and technical expertise to both technical and non-technical teams
                                                    • Works with other project team members to brainstorm solutions to problems and support others in their goals.
                                                    • Exhibits sound judgement, keen eye for details and tenacity for solving difficult problems.
                                                    • Uses strong analytical skills and support use of data for sound decision making.

                                                    +

                                                    Experience:

                                                    +


                                                    • Understanding of how to leverage data analysis tools, data platforms and analytical methods to provide solutions to business problems and able to work with a lot of ambiguity
                                                    • Proficiency with data visualization tools (e.g., Tableau, Power BI) and data programming and scripting languages such as SQL, Python, Spark, SAS, R and Unix/Linux
                                                    • Previous use of multiple project management practices (Agile and Waterfall) to develop and deliver data products
                                                    • Demonstrated experience translating business needs into technical requirements

                                                    -

                                                    Job Description:

                                                    +

                                                    Qualifications:

                                                    +


                                                    • Degree in Engineering, Computer Science, Mathematics, Statistics or quantitative field
                                                    • 3+ years industry experience with big data technology (Hadoop, Hive, HDFS)
                                                    • Proficiency with relational databases (Oracle, DB2, MS SQL Server)
                                                    • Industry experience as a Data Engineer or Data Analyst
                                                    • Data modelling and warehousing experience
                                                    • Strong proficiency in SQL

                                                    -

                                                    Role Summary

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Data-Office-ON-M5C2V9/547258017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-13T21:21:37.503Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/62903530-data-engineer-data-office-at-scotiabank,,expired,2021-05-14T21:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +af6b7b96-f937-4bfb-99f3-de73f11a81b2,62906631,Vector Institute,Senior AI Software Developer,temporary,"Toronto, ON, Canada",2021-05-14T21:36:39.266Z,"

                                                    POSITION SUMMARY

                                                    -

                                                    The candidate will be a member of the SQL Server Client team within Data Management Services (DMS). The primary role on the team will be as a SQL Server Database Administrator supporting various client applications, but the individual may be asked to take on additional duties including infrastructure support and training on various emerging technologies related to Business Intelligence and Big Data solutions.

                                                    +

                                                    As a Vector Senior AI Software Developer, you will provide technical leadership and contribute to developing and integrating reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest machine learning and AI researchers and provide guidance to AI Software Developers and data scientists and researchers at industry sponsors and healthcare institutions to apply AI.

                                                    -

                                                    The team has members in Canada, the US and India supporting a wide range of distributed and mainframe applications across many continents. The core hours for this position are 08:00 – 16:30 but are flexible within a range as long as there is proper coverage within the team. All team members must have the ability to handle 7X24 rotational on-call duties, after hour change support and disaster recovery support (will require cell phone, laptop and guaranteed coverage from home).

                                                    +

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    What will you do?

                                                    +
                                                    • Provide technical leadership for applied research projects and AI/ML software development and integration projects following an agile methodology with teams that can include Vector AI developers, professional staff, researchers, industry sponsors and healthcare partners;
                                                      -
                                                    • Administrative support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: Database Engine, Integration Services (DTS, SSIS), Analysis Services (SSAS) and Reporting Services (SSRS)
                                                    • -
                                                    • Infrastructure support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: server/instance installs (stand-alone and clustered), service-pack upgrades, hot fixes, client tool installs, readiness programs, new feature exploitation, research and development (as needed by Infrastructure manager)
                                                    • -
                                                    • Support of application and database upgrades from existing SQL versions to, SQL2012, SQL2014, SQL2016 and future supported releases
                                                    • -
                                                    • Pro-active and reactive performance analysis, monitoring, troubleshooting and resolution of issues
                                                    • -
                                                    • Migration of database objects from development through production following documented standards, policies and procedures (Change Management Process)
                                                    • -
                                                    • Monitoring and support of nightly production batch cycles
                                                    • -
                                                    • Organizing and monitoring personal workload and escalating to manager when issues arise
                                                    • -
                                                    • Regular review of database maintenance and performance improvement procedures
                                                    • -
                                                    • Ensuring the proper setup and validation of backup and restore processes
                                                    • -
                                                    • Participation in a rotational on-call schedule
                                                    • -
                                                    • Occasional participation in after-hours and weekend support of production implementations, infrastructure activities, and various disaster recovery exercises
                                                    • -
                                                    • Regular database capacity planning related to database growth and system utilization; trend analysis
                                                    • -
                                                    • Working closely with other team members, technical/team leads, management, specialized IT areas and application support teams to ensure consistent delivery and quality of database services
                                                    • -
                                                    • Helping define, document and implement consistent standards and procedures across the team
                                                    • -
                                                    • Support of PowerShell, Ansible, T-SQL stored procedures and functions to support internal processes and improve system performance
                                                    • -
                                                    • Maintaining up-to-date documentation and procedures for all supported applications and environments
                                                    • -
                                                    • Managing medium to large projects and participating in a variety of projects through the entire project lifecycle
                                                    • -
                                                    • Maintaining 99.99% availability for all production environments
                                                    • -
                                                    • Assisting clients with various issues related to connectivity, permissions, access
                                                    • -
                                                    • Evaluation of functionality and features with newer versions of the SQL Server DBMS
                                                    • -
                                                    • Sharing ideas for process improvement and innovative solutions to known problems
                                                    • +
                                                    • Design and lead development of reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                    • +
                                                    • Design and lead development of open source software for applying AI research techniques to common problems;
                                                    • +
                                                    • Mentor industry sponsors and healthcare partners on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                    • +
                                                    • Mentor researchers and AI software developers on software engineering and data science best practices;
                                                    • +
                                                    • Lead the development of prototypes and proofs of concept;
                                                    • +
                                                    • Report and present on software development including status and results; and,
                                                    +
                                                    • Other related duties as assigned.
                                                    +

                                                    +

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    What will you need to succeed?

                                                      -
                                                    • BE / B Tech /MCA / M Tech / Proven administration/analyst skills preferably with a degree in Computer Science or related technology degree/diploma, or equivalent experience
                                                    • -
                                                    • 3 to 5 years of SQL Server database administration experience handling medium to large databases
                                                    • -
                                                    • Excellent verbal and written communication skills
                                                    • -
                                                    • Experience with the Microsoft BI stack
                                                    • -
                                                    • Experience with on-call support and trouble-shooting
                                                    • -
                                                    • Strong T-SQL skills that include a thorough understanding of system tables, stored procedures, functions, triggers, and SQL tuning
                                                    • -
                                                    • SQL Server 2008, 2012, 2014 or 2016 certification (optional)
                                                    • -
                                                    • Hands-on experience with SQL Server installations and patching
                                                    • -
                                                    • Strong knowledge of SQL Server database tuning using Profiler, Index Tuning Wizard, Dynamic Management Views and Functions (DMVs), and other third-party tools
                                                    • -
                                                    • Strong knowledge of SQL Server Management Studio and Business Intelligence Development Studio
                                                    • -
                                                    • Strong knowledge of SQL Server database backup and recovery strategies
                                                    • -
                                                    • Strong knowledge of SQL Server replication, mirroring, log shipping, maintenance plans and DR recovery strategies
                                                    • -
                                                    • Experience with Sybase Power Designer
                                                    • -
                                                    • Experience with Redgate SQL Backup tools
                                                    • -
                                                    • Knowledge of data-mapping and logical and physical data modeling
                                                    • -
                                                    • Strong organizational skills with the ability to handle several tasks efficiently
                                                    • -
                                                    • Being part of our journey in developing the next greatest digital experience
                                                    • +
                                                    • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred.
                                                    • +
                                                    • Minimum of four years of experience in industry applying machine learning for data science or technology product development or equivalent; experience across industries considered an asset.
                                                    • +
                                                    • Demonstrated experience as a technical lead for teams applying machine learning.
                                                    • +
                                                    • Demonstrated experience in applying machine learning to problems deployed in production.
                                                    • +
                                                    • Demonstrated experience in working closely with software engineers, data scientists and operations staff.
                                                    -

                                                    -

                                                    Unique Requirements

                                                    -

                                                    -

                                                    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                                                    -

                                                    -

                                                    What's in it for you?

                                                    +
                                                    • Demonstrated experience developing software that is deployed in production.
                                                      -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family
                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • -
                                                    • A ‘dress for the day’ dress code, where you dictate how you dress based on your day
                                                    • +
                                                    • Demonstrated experience in data engineering working with messy real-world data.
                                                    • +
                                                    • Demonstrated experience in operational considerations for deployment of deep learning.
                                                    • +
                                                    • Demonstrated analytical skills to identify signal in data and feasibility of prediction.
                                                    • +
                                                    • Strong knowledge and experience with Python.
                                                    • +
                                                    • Experience in popular open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                    • +
                                                    • Experience with parameter and architecture tuning of deep learning algorithms.
                                                    • +
                                                    • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.

                                                    -

                                                    When a new position becomes available which matches your background and experience, the base pay range will be disclosed and correspond to the opportunity Sun Life will consider you for.

                                                    -

                                                    -

                                                    In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/SQL-Client-DBA_JR00032258?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-07-13T14:35:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/36049336-sql-client-dba-at-sun-life-financial,,expired,2020-06-29T17:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f1d5f3b3-3799-4bfe-b34a-7c983905ff91,36127938,Borealis AI,Machine Learning Research Winter Internship ☑️,on_site,"Toronto, ON, Canada",2020-07-02T22:05:04.232Z,"

                                                    About Borealis AI

                                                    -

                                                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has approximately 100 team-members acrossits four labs in Canada.

                                                    -

                                                    -

                                                    Borealis AI offers research internships across labs. Interns support research on a wide variety of theoretical and applied machine learning projects. Working in our labs will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                    -

                                                    -

                                                    Internship opportunities are available in the following areas:
                                                    - Deep Learning
                                                    - Reinforcement Learning
                                                    - Graphs and Optimization
                                                    - Unsupervised and Semi-supervised Learning
                                                    - Bayesian Optimization
                                                    - Privacy and Fairness
                                                    - Interpretability and Explainability
                                                    - AutoML
                                                    - Time Series Forecasting
                                                    - Natural Language Processing
                                                    - Computer Vision

                                                    -

                                                    -

                                                    You’re our ideal candidate if you have:
                                                    - Ability to implement state-of-the-art machine learning techniques
                                                    - High motivation to solve challenging research problems
                                                    - Passion for data, algorithms, and statistics
                                                    - Experience working towards a PhD or already hold a MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                    - Previous publications at a top-tier AI conference
                                                    - Experience with writing modular, robust, scalable software in Python
                                                    - Familiarity with the Unix command line and bash scripting
                                                    - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                    - A deep understanding of machine learning algorithms and/or statistical modeling

                                                    -

                                                    -

                                                    Internship duration: 4 months (January – April. 2021).
                                                    Application deadline:
                                                    August 14, 2020.

                                                    Inclusion and Equal Opportunity Employment

                                                    -

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2020-08-15T22:05:00.000Z,False,20,0,931,https://talenthub.vectorinstitute.ai/jobs/36127938-machine-learning-research-winter-internship-at-borealis-ai,,expired,2020-07-02T22:05:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Financial Services,Internship/Co-op,Masters Degree,New Posting, -04cc1f59-8665-429c-887f-c444707066c2,37099708,Sun Life Financial,Senior Tableau Specialist,on_site,"North York, Toronto, ON, Canada",2020-07-20T17:38:10.002Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    Role Summary:

                                                    -

                                                    -

                                                    As a member of the Data Management Services team, the Senior Tableau Specialist role plays integral part in the planning and delivery leadership for the new technology enablement and Technology renewal projects. This role is accountable for the technology acquisition, proof of technology, implementation and upgrade of a wide range of Data and Business Intelligence Technologies. This position also plays an integral role in vendor management.

                                                    +

                                                    Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    This role will be accountable to initiate, plan, build and lead project members to deliver technology infrastructures and transition to Operations.

                                                    +

                                                    Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    This role reports to the Practice Manager and accountable to the Director, Data and Business Intelligence Technologies

                                                    +

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    What will you do?

                                                    +

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=115&source=google&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-06-13T21:36:41.596Z,False,0,1,43,https://talenthub.vectorinstitute.ai/jobs/62906631-senior-ai-software-developer-at-vector-institute,,expired,2021-05-14T21:36:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +39a083f2-604d-4566-8841-f71a32d6551c,62987801,Intact Financial Corporation,"Python Tech Lead (Toronto), Intact Lab",on_site,"Toronto, Ontario, CAN",2021-05-15T19:50:08.441Z,"
                                                    +

                                                    How do you imagine life at an insurance company - its people, its culture, its offices? We bet that if you visit our team, you'll be in for quite the surprise!

                                                    Our team merges the speed and culture of a start-up with the resources and means of a large corporation. Located in downtown Montreal, we are a growing team, passionate about innovation and advanced technologies.

                                                    You dream of exciting challenges at one of Canada’s top 100 places to work? Join our Artificial Intelligence team and take part in building the next generation of software products.


                                                    +
                                                    Your Job
                                                    +

                                                    Our Innovation Lab is looking for a Technical Lead - Python software development. We are looking for someone who is passionate about the technologies that orbit around AI, ML and Big Data solutions, with a constructive energy and a sense of inclusive leadership.

                                                    Hiring Manager : Van Tram

                                                    Workplace : Toronto (700 University Ave)

                                                    Your mission within our Innovation Lab :

                                                    • Manage as technical leader a team of developers (±5 Devs).
                                                    • Actively collaborates with application architects and systems analysts.
                                                    • Participate in design, application design, setting up foundations for event-oriented components.
                                                    • Participate in the technological watch and the definition of coding standards. to ensure system efficiency, resilience and sustainability.
                                                    • Optimize the platform for maximum velocity and scalability.
                                                    • Optimize and prioritize development tasks in collaboration with the team.
                                                    • Ensure the high level of quality of the work delivered.
                                                    • Boost the productivity of the development team.
                                                    • Oversee the development of appropriate tactics to achieve objectives.
                                                    • Provide support and be proactively involved in problem situations or issues.
                                                    • Be the technical ‘GO TO Person’ for members of your team.
                                                    • Act as an ambassador to the team and to other departments of the company.

                                                    +
                                                    Your Skills
                                                    +

                                                    • With an education level equivalent to a bachelor’s degree or more, you have significant experience of at least 8 to 10 years in backend development, and at least 2 years in a Technical Lead role.
                                                    • Leadership and ability to convey ideas in a positive manner with different teams.
                                                    • Resourcefulness, team player, curiosity, communication, teacher, attention to detail and thoroughness.
                                                    • Analytical and problem-solving skills.
                                                    • Ability to adapt in a fast-paced, agile development environment.
                                                    • Proficient in python language and a good understanding of programming languages such as Java, C# or C++.
                                                    • A very good understanding of machine learning and artificial intelligence.
                                                    • Proficient in machine learning libraries and scientific calculation such as Scikit-learn, NumPy, SciPy, etc.
                                                    • Good knowledge of software engineering practices such as Agile, DevOps, CI/CD and others.
                                                    • Proficient with modern DevOps tools, such as Docker, OpenShift, Kubernetes, ELK, Jenkins.
                                                    • Good knowledge of Kafka.
                                                    • Knowledge of a deep learning framework such as Kubelfow, Tensorflow, PyTorch or other.

                                                    Here are a few reasons why others have joined our team :

                                                    • An award-winning, inspiring workplace that supports its people and recognizes great work
                                                    • Stimulating, challenging projects and development opportunities to help you grow your skills and career
                                                    • A comprehensive financial rewards program that recognizes your success
                                                    • An extensive, flexible benefits package
                                                    • An industry leading Employee Share Purchase Plan where we match 50% of net shares purchased
                                                    • A $350 annual wellness account that promotes an active lifestyle

                                                    +
                                                    Closing Statement
                                                    +

                                                    We are an Equal Opportunity Employer

                                                    At Intact, our value of Respect is founded on seeing diversity as a strength, being inclusive and fostering collaboration. We value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected and heard.

                                                    If we can provide a specific adjustment to make the recruitment process more accessible for you, please advise the Talent Acquisition partner who reaches out about the job opportunity and they will work with you to meet your needs.

                                                    Background Checks

                                                    As an employer and publicly traded financial services company, the best interests of our customers, employees and shareholders are important to us. We want Intact to be a great place to work! This means that internal and external candidates will be asked to consent to background checks so we can learn more about you. Please note that for positions with access to financial data or funds, your credit must be in good standing.

                                                    Internal Candidates

                                                    For internal candidates, you can apply for a posted position if you have been in your current position for at least 12 months and are performing at a satisfactory level. Please note we may have identified other internal candidates through our Employee Development Program, and that the selection process may also be opened to external applicants.

                                                    Eligibility to Work in Canada

                                                    It’s important that you are legally eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

                                                    #li-qc


                                                    +
                                                    Referral Bonus
                                                    +

                                                    This role is eligible for employee referral bonus. #myReferrals3000


                                                    +
                                                    ",,https://careers.intact.ca/ca/en/job/IFCOUS14867/Python-Tech-Lead-Toronto-Intact-Lab?utm_source=vectorinstitute&utm_medium=phenom-feeds,feed-importer@jobboard.io,,,,2021-06-08T21:56:43.041Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/62987801-python-tech-lead-toronto-intact-lab-at-intact-financial-corporation,https://careers.intact.ca/ca/en/job/IFCOUS14867/Python-Tech-Lead-Toronto-Intact-Lab,expired,2021-05-15T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +95c26b03-c64b-4a18-b9f2-3d9240527b32,62988153,RBC,"Analytics Lead, RBC Ventures",on_site,"Toronto, Ontario, Canada",2021-05-15T21:50:17.402Z,"
                                                    +

                                                    RBC Ventures is new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

                                                    +

                                                    +

                                                    What you will do?

                                                      -
                                                    • Owns technology implementation and delivery. Ensure projects are delivered on time , on budget and with required quality
                                                    • -
                                                    • Accountable for project intake and estimation
                                                    • -
                                                    • Work closely with the Architect and the Director, DBIS Technologies during the concept phase of project to define project delivery approach, methodology
                                                    • -
                                                    • Accountable for the technical leadership from project initiation to implementation. Ensures all technical requirements are defined and chosen technologies meet both business and technical requirements.
                                                    • -
                                                    • Ensure technologies delivered meets performance, reliability, recoverability requirements
                                                    • -
                                                    • Ensures that standard and best practice for project and program management processes are applied to plan, and execute initiatives with high complexity and risk
                                                    • -
                                                    • Lead and guide technical resources and serve as an escalation point for delivery issues
                                                    • -
                                                    • Handles vendor engagement, contracts and management
                                                    • +
                                                    • Design and implement rigorous analytics frameworks across Ventures
                                                    • +
                                                    • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights to support the growth of Ventures
                                                    • +
                                                    • Regularly present recommendations & opportunities to Venture leadership and senior executives.
                                                    • +
                                                    • External relationships include Data Technology vendors
                                                    • +
                                                    • Internal relationships include colleagues and senior management in RBC Ventures, AI Labs, Card & Payment Solutions, Financing Products, Technology & Operations and Client & Marketing Strategy.
                                                    • +
                                                    • +Provide analytical subject matter expertise to define data driven strategies including:
                                                        +
                                                      • Providing recommendations on new/re-design Venture development strategies, supported by analytics
                                                      • +
                                                      • Developing product & customer analytics such as funnel optimization, customer segmentation, cohort & retention analysis
                                                      • +
                                                      • Performing fulsome data deep dives to identify and propose Venture optimization opportunities
                                                      • +
                                                      • Building data pipelines and performing feature engineering to measure conversion performance across platforms
                                                      • +
                                                      • Dashboard and KPI development and automation
                                                      • +
                                                      • Iterate and measure success of initiatives and engagements.
                                                      • +
                                                      +
                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must Have:

                                                      -
                                                    • Creates/Enhances technology evaluation methodology and implementation processes, in concert with CMMI framework
                                                    • -
                                                    • Successful transition of new technologies to operation
                                                    • -
                                                    • Effectively coach/counsel others and provide feedback to improve performance
                                                    • +
                                                    • Typically 5+ years of relevant experience (e.g. Business Analytics, Consulting, etc.)
                                                    • +
                                                    • Exceptional problem solving skills with ability to deliver innovative solutions
                                                    • +
                                                    • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions
                                                    • +
                                                    • Demonstrate a strong aptitude for managing multiple priorities and deadlines in a fast-paced environment
                                                    • +
                                                    • Strong team player, able to manage and build relationships with multiple stakeholders
                                                    • +
                                                    • Excellent communication and presentation skills with the integrity and confidence to liaise with executives and senior management.
                                                    • +
                                                    • Self-starter with a passion for using data to influence business decisions and strategic investments.
                                                    • +
                                                    • Proven leadership track record with experience developing talent
                                                    • +
                                                    • Solid technical skills in data analytics methodologies / tools - extensive experience with statistical analysis and SQL
                                                    • +
                                                    • Experience with variety of query authoring tools (Metabase, Teradata, etc.)
                                                    • +
                                                    • Experience in / an interest in learning advanced analytics methodologies and tools (Python, R, machine learning, data visualization tools, etc.).
                                                    • +
                                                    • University degree in a quantitative field of study (e.g., statistics, economics, business) to demonstrate ability for critical thinking & numerical analytics.
                                                    • +
                                                    +

                                                    +

                                                    What’s in it for you?
                                                    We are building something completely new in a dynamically changing industry. It’s never been done before. You have the opportunity to leverage the significant resources of our business and brand to make that change happen in the real world.

                                                    +

                                                    +
                                                      +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Work in an agile, collaborative, progressive, and high-performing team
                                                    • +
                                                    • The opportunity to interface with senior level executives from many different parts of the organization
                                                    +

                                                    +

                                                    RBCVentures

                                                    +

                                                    +

                                                    About RBC
                                                    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

                                                    +

                                                    +

                                                    Inclusion and Equal Opportunity Employment
                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    +

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 20 Bay street
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salaried
                                                    Position Level: PL07

                                                    Required Travel(%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 05/08/2021
                                                    Req ID: 344996

                                                    +

                                                    Ad Code(s): RBC Ventures

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/344996/Analytics-Lead-RBC-Ventures,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-05-19T20:50:00.000Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/62988153-analytics-lead-rbc-ventures-at-rbc,https://jobs.rbc.com/ca/en/job/344996/Analytics-Lead-RBC-Ventures,expired,2021-05-15T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +5abd7748-f7b7-468d-bcfc-f2f725b9d12f,63260998,Thales,TECHNICAL SPECIALIST - SYSTEM,on_site,"Toronto, ON, Canada",2021-05-18T15:12:32.422Z,"

                                                    Location: Toronto, Ontario, Canada
                                                    Regular Employment, Full time Location: Toronto, Canada

                                                    -

                                                    What will you need to succeed?

                                                    +

                                                    Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.

                                                    +

                                                    Thales provides world-leading Communications-Based Train Control (CBTC) and interlocking for mass rail transit applications globally. The Centre of Competence for Urban Rail Signalling is located right before you at mid-town Toronto. As the largest office in Canada, we house a department for every step of the Software Development Lifecycle (SDLC)! This includes Software, Hardware, Systems Design, Verification & Validation, Operations, etc. The supporting corporate shared services teams in Finance, Human Resources and IT is also located at the office. Our office space was designed to provide a sustainable, healthy workplace that expresses TRSS’s brand while increasing collaboration. Features include Greenguard furniture, EnergyStar appliances, low-emitting adhesives, sealants, and sliding glass doors on internal offices provide daylight and views to the outside. Come join the big Transport family, here in Toronto!

                                                    +

                                                    We are looking for a Technical Specialist to join our research and technology (R&T) team.

                                                    +

                                                    As a System Specialist you will bring your expertise in robotics, computer vision, fusion algorithms, point cloud processing and machine learning to develop, build, test and evaluate next generation solutions for the transit market.

                                                    +

                                                    You will be involved in research and development to create “proof-of-concept” products for the urban rail signaling domain.

                                                      -
                                                    • Excellent interpersonal relations and demonstrated ability to work with management, peers, suppliers, clients and staff effectively.
                                                    • -
                                                    • Ability to communicate openly and effectively with staff, management, clients, suppliers and vendors at all levels.
                                                    • -
                                                    • Leadership and management skills to guide a team through change and challenges.
                                                    • -
                                                    • Client service skills including desire to exceed client expectations while remaining committed to organizational objectives.
                                                    • +
                                                    • To participate in the analysis of very complex, real-time, autonomous system use cases
                                                    • +
                                                    • To understand the goal of a research project and support its execution
                                                    • +
                                                    • To perform analysis of lab and field test results
                                                    • +
                                                    • To document and defend results, designs and tradeoffs
                                                    • +
                                                    • To work with multiple sensors and the latest software algorithms to control complex, safety critical systems
                                                    • +
                                                    • To develop expertise in railway signaling and learn the product offering of Thales
                                                    • +
                                                    • To become a highly productive team member and team player
                                                    +

                                                    Key Responsibilities:

                                                      -
                                                    • Vendor negotiation and management capabilities
                                                    • -
                                                    • Mixture of strong business acumen, data and business analytics technologies and project delivery skills.
                                                    • -
                                                    • Ability to thrive in an environment of high stress, pressing deadlines and changing conditions.
                                                    • -
                                                    • Accomplish all goals and objectives while reflecting core values of honesty, integrity and fairness.
                                                    • +
                                                    • Support inputs for overall design solution to product definition including system architecture, failure mode analysis and system redundancy for R&T projects
                                                    • +
                                                    • Contribute to the overall architecture design of the next generation automated train solution
                                                    • +
                                                    • Develop, analyze, implement algorithms for train applications
                                                    • +
                                                    • Use state-of-the-art algorithms for object detection, fusion, machine vision, deep learning and adaptive control systems, and filters
                                                    • +
                                                    • Perform prototyping in simulation environments and with “proof of concept” platforms
                                                    • +
                                                    • Perform modelling for simulating representative scenarios
                                                    • +
                                                    • Perform hands-on experimentation to gain new knowledge
                                                    • +
                                                    • Perform all phases as related to algorithm development: model, compile, build, debug, simulation, testing, validation and documentation
                                                    • +
                                                    • Design, code, integrate and test software applications required to support various R&T projects
                                                    • +
                                                    • Design and build prototype hardware
                                                    • +
                                                    • Use and setup tools and systems for data collection and evaluation of large datasets
                                                    • +
                                                    • Experience with ‘big data’ algorithms is an asset
                                                    • +
                                                    • Analyze control system dynamics, parameters and models to generate reports
                                                    • +
                                                    • Prepares reports, giving findings on problems
                                                    • +
                                                    • Provides support to product team and other departments as required to help with productization of new solutions
                                                    • +
                                                    • Analyzes and write requirements using Company standard methodology
                                                    • +
                                                    • Works with system modelling tools and methodologies such as Arcadia
                                                    • +
                                                    • Keeps abreast of relevant technology developments as related to the R&T project
                                                    • +
                                                    • Comfortable in an Agile work methodology
                                                    • +
                                                    • Perform design reviews per R&T lifecycle
                                                    • +
                                                    • Assists in providing leadership and motivation to staff
                                                    -

                                                    -

                                                    Technical Requirements and experience:

                                                    -

                                                    +

                                                    Required Skills and Experience:

                                                      -
                                                    • Atleast 5 years strong technology experience specializing in Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data.
                                                    • -
                                                    • 2-4 years experience in Tableau software architecture, deployment and content development
                                                    • -
                                                    • Experience with Sun Life organization and technology infrastructure, policy, process and procedures
                                                    • -
                                                    • Experience in delivering new technology selection, delivery and technology renewal projects
                                                    • -
                                                    • Experience in working with vendors, external consultants, internal technology suppliers in matrix organization
                                                    • -
                                                    • Experience in technology evaluation methodology and ability to lead technical requirement
                                                    • +
                                                    • PhD or Masters in Electrical & Computer Engineering, Computer Science, Robotics or a related field
                                                    • +
                                                    • Over 4 years of relevant work experience or equivalent
                                                    -

                                                    -

                                                    What's in it for you?

                                                    +

                                                    Preferred Skills and Experience:

                                                      -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family
                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • -
                                                    • A ‘dress for the day’ dress code, where you dictate how you dress based on your day
                                                    • +
                                                    • Expertise in one or more of the following: Deep Learning, Computer Vision and Machine Learning
                                                    • +
                                                    • Experience with algorithms for object detection and classification, fusion, control systems
                                                    • +
                                                    • Strong knowledge in Kalman Filters, Extended Kalman Filters, and Particle Filters
                                                    • +
                                                    • Knowledge in control theories including predictive, optimal and robust controls
                                                    • +
                                                    • Working knowledge of modern software engineering practices, methods & tools
                                                    • +
                                                    • Knowledgeable of object oriented techniques, design patterns, multithreading, socket programming
                                                    • +
                                                    • Experience in C++, Python, ROS, Linux also necessary
                                                    • +
                                                    • Knowledge of JavaScript, TypeScript, SQL an asset
                                                    • +
                                                    • Experience with GPU acceleration using OpenCL or CUDA an asset
                                                    • +
                                                    • Experience with a least one scripting/productivity language, and experience with file formats such as .json, messagepack, and pickle.
                                                    • +
                                                    • Familiar with software building tools like Cmake, MSBuilds
                                                    • +
                                                    • Familiar with source control tools (Git, Clearcase, etc.)
                                                    • +
                                                    • Cloud Computing experience: ElasticSearch, Kibana, Zeppelin, Docker, and Jenkins are all assets
                                                    • +
                                                    • Strong communication, organizational and problem-solving skills
                                                    • +
                                                    • Experience with safety critical systems an asset
                                                    • +
                                                    • Knowledge of railway signaling techniques would be an asset
                                                    -

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Tableau-Specialist_JR00032458?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-08-05T15:22:00.000Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/37099708-senior-tableau-specialist-at-sun-life-financial,,expired,2020-07-20T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -031dcd16-cc7e-4227-b956-86e3a26ee8f2,37329616,Sun Life Financial,Junior Data Scientist,on_site,"Waterloo, ON, Canada",2020-07-27T19:54:51.381Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    -

                                                    Role Summary

                                                    -

                                                    -

                                                    This role will lead analytics initiatives within the Insurance Solutions Market Development team, with particular emphasis on analysis that will inform product design, client engagement and profitability.

                                                    As a data analyst, you will be part of a large analytics community and will be focused within the Individual Insurance business responsible for data science, data flows, visualization, machine learning and business intelligence.

                                                    Within SLF Canada, Individual Insurance is one of the largest business units. Individual Insurance accounts for approximately 20% of worldwide earnings in the overall Sun Life Financial group of companies, and over 40% of Canadian earnings. We manufacture and distribute leading-edge life insurance and health insurance products and solutions for over two million individual customers.

                                                    -

                                                    What will you do?

                                                    -

                                                    +

                                                    Thales is committed to a diverse and inclusive workplace for all. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                    ",,https://jobs.thalesgroup.com/job/toronto/technical-specialist-system/1766/19372648,aimasters@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-06-17T15:12:34.232Z,False,0,0,27,https://talenthub.vectorinstitute.ai/jobs/63260998-technical-specialist-system-at-thales,,expired,2021-05-18T15:12:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +354de596-d893-4f51-99da-0a1283d0b67a,63472202,RBC,"Associate Director, Data Architecture and Engineering",on_site,"Toronto, Ontario, Canada",2021-05-19T21:50:43.159Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    As Associate Director, Data architecture and Engineering in Investor & Treasury Services Data Engineering team within Data Management office, you will design, implement and support Data architecture best practices and processes within Investor and Treasury Services across global organization in line with Corporate vision. We are looking for strategic thinker, and passionate data management enthusiast to drive and support leadership team on executing data strategy.

                                                    +

                                                    +

                                                    As a member of a dynamic, fast paced team, you will bring strong data architecture and data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. You will have a strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times. This is complemented by a positive attitude and a willingness to take accountability for results achieved.

                                                    +

                                                    +

                                                    In this role, you will encompass an end to end system view from data sourcing, lineage, transformation and storage standpoint to support complex advanced analytics and data governance needs and require extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • A self starter with demonstrated success in using analytics to drive innovation with experience in guiding initiatives with our business partners
                                                    • -
                                                    • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
                                                    • -
                                                    • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
                                                    • -
                                                    • Collaborate with IT partners and other Data Science teams within the Canadian business to build out the data environment and analytics work platforms
                                                    • -
                                                    • Develop standard operational performance metrics, reporting and data analytics to support dashboard level management metrics
                                                    • -
                                                    • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area.
                                                    • -
                                                    • Proactively engage other leaders on business solution development for knowledge sharing, input and best practices.
                                                    • +
                                                    • Design structures and plans to meet the current and long-term data requirements of I&TS enterprise
                                                    • +
                                                    • Evaluate current state business processes and system architecture specification, and develop target state data architecture and key system consolidation opportunities
                                                    • +
                                                    • Define the current state of data within I&TS organization through Enterprise data model discovery for data entities and components
                                                    • +
                                                    • Assess data curation requirements and propose remediation approach
                                                    • +
                                                    • Design and implement target state system consolidation opportunities in line with I&TS Data Engineering strategy
                                                    • +
                                                    • Evaluate current state of data access control in regards to authentication, authorization and encryption practices across I&TS systems. Develop and support remediation strategy
                                                    • +
                                                    • Work in an agile team of Data Engineers, Developers and RBC business stakeholders.
                                                    • +
                                                    • Build real-time data pipelines (inbound, outbound) through container-based solutions, APIs/microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms
                                                    • +
                                                    • +Collaborate with data scientists, process engineers and business stakeholders on requirement gathering and assist with prescriptive and predictive analytics through consolidated data pipelines
                                                    -

                                                    -

                                                    What will you need to succeed?

                                                    +

                                                    What do you need to succeed?
                                                    Must Have:

                                                    +
                                                    • 7+ years of experience in data architecture and data engineering with at least 3 years of hands on experience in technologies listed in the following section:
                                                      -
                                                    • Critical thinking
                                                    • -
                                                    • SQL/R/Python programming
                                                    • -
                                                    • Data visualization through Tableau
                                                    • -
                                                    • Predictive modelling/machine learning
                                                    • +
                                                    • Data architecture: working knowledge of DAMA best practices and DMBOK
                                                    • +
                                                    • Data Modeling technologies and tools such as ERWIN
                                                    • +
                                                    • Data Engineering: Python, Kafka, MS SQL Server
                                                    • +
                                                    • API: Node.JS, Django and microservices technologies
                                                    • +
                                                    • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
                                                    • +
                                                    • Portal/analytics solutions: Angular, Kibana
                                                    • +
                                                    • Strong knowledge of algorithms and data structures.
                                                    -

                                                    -

                                                    Qualifications

                                                    +

                                                    Nice to have:

                                                      -
                                                    • Education background in math/computer science/statistics/financial engineering/data analytics
                                                    • -
                                                    • 2+ years of quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports
                                                    • -
                                                    • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and multiple business units.
                                                    • -
                                                    • Communication (verbal and written) and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics
                                                    • -
                                                    • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
                                                    • +
                                                    • Master’s degree in Computer science or equivalent experience
                                                    • +
                                                    • Certified Data Management Professional (CDMP) certification
                                                    • +
                                                    • Automation/DevOps: Jenkins, Selenium and similar technologies
                                                    • +
                                                    • Cloud technologies: Openshift, PCF, AWS, Azure
                                                    • +
                                                    • Database technologies: MongoDB, Elasticsearch, Logstash
                                                    • +
                                                    • Source code control: GIT
                                                    • +
                                                    • Experience working in agile/SaFe environment
                                                    • +
                                                    -

                                                    -

                                                    What is in it for you?

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • -
                                                    • Flexible benefits, Pension, stock and savings programs and 3 weeks vacation
                                                    • -
                                                    • A friendly, collaborative and inclusive culture
                                                    • -
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                    • +
                                                    • Interaction with a wide variety of departments within Investor & Treasury Services
                                                    • +
                                                    • The opportunity to work on projects relating to bank wide data initiatives
                                                    • +
                                                    • Work collaboratively with business partners, IT and Data Management in order to deliver new capabilities effectively
                                                    • +
                                                    • Stay close to industry best practices in account, client data and KYC management
                                                    • +
                                                    • Apply interpersonal and influencing skills to develop strong relationships with the Data Management team, Data Management IT, stakeholders across RBC I&TS, and individuals participating in the various data project streams
                                                    • +
                                                    • Communicate effectively with RBC I&TS professionals at varying levels of seniority, including applying insight to determine the business impact of data issues that may arise in the availability, integrity or completeness of data which can be supported through better governance
                                                    +

                                                    +

                                                    +

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 330 Front St. West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Senior Manager/Director
                                                    Pay Type: Salaried
                                                    Position Level: PL07
                                                    Required Travel(%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 05/05/2021
                                                    Req ID: 322980

                                                    +

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/322980/Associate-Director-Data-Architecture-and-Engineering,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-08T21:58:21.535Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/63472202-associate-director-data-architecture-and-engineering-at-rbc,https://jobs.rbc.com/ca/en/job/322980/Associate-Director-Data-Architecture-and-Engineering,expired,2021-05-19T21:50:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +d619bea2-0c23-4549-82a9-94df9326dfc0,63588755,TD Bank Group,"Fraud Strategist, Insights and Analytics",on_site,"Markham, ON",2021-05-20T15:41:16.006Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    +

                                                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway. #LI-POST

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    +

                                                    The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                    +

                                                    The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment

                                                    +

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    Job Description

                                                    +
                                                    +

                                                    This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.

                                                    +

                                                    The Strategist

                                                    +
                                                      +
                                                    • Must balance loss decisions with the impact to operational teams and the customer experience.
                                                    • +
                                                    • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                                    • +

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Junior-Data-Scientist_JR00032941?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-07-31T19:02:00.000Z,False,0,22,70,https://talenthub.vectorinstitute.ai/jobs/37329616-junior-data-scientist-at-sun-life-financial,,expired,2020-07-27T19:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -81bc6dd1-1808-4263-a96f-2b31707c0cdb,37638727,Sun Life Financial,DevOps Automation Specialist,on_site,"North York, Toronto, ON, Canada",2020-08-05T13:41:05.570Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    -

                                                    While our DevOps team is based on Toronto/NorthYork, your work location is flexible. Do you prefer instead to work remotely from the K-W area? Ottawa? Montreal? Other Ontario/Quebec locations? Let’s discuss.

                                                    -

                                                    -

                                                    Our teams are dedicated to providing the services and technology our business partners need to help customers achieve lifetime financial security. Through innovation and collaboration, we're striving to continually find new and better ways to bring value to Sun Life. Enterprise Services has employees in Canada, Ireland, the U.S. and Asia. We partner closely with groups and individuals throughout Sun Life Financial to provide products and services that deliver business value.

                                                    -

                                                    -

                                                    The primary purpose of the DevOps Automation Specialist is to work with the Enterprise DevOps team to automate existing manual process and assist in implementing the enterprise DevOps strategy by working closely with subject matter experts (SME) in specific technology areas to identify automation opportunities. S/he will also help govern and coordinate the movement of multiple automation releases through the build, test, and production environments. The automation team and its members ensures the knowledge is in place to efficiently coordinate automation efforts. The role communicates with managers, IT operations, Architects and project managers on a regular basis to help document key release milestones. The automation resource works closely with the DevOps architect and infrastructure architect to implement the enterprise DevOps automation strategy across SLF.

                                                    -

                                                    -

                                                    Preferred skills

                                                    +

                                                    The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                    +

                                                    Accountabilities:

                                                    +

                                                    Fraud Loss Management

                                                      -
                                                    • In-depth experience with Ansible Core and Ansible Tower
                                                    • -
                                                    • Prior use of other CI/CD tools such as Artifactory and BitBucket
                                                    • -
                                                    • Containerization using Docker and Kubernetes
                                                    • -
                                                    • Basic programming in Java
                                                    • -
                                                    • Terraform or Cloud Formation (AWS)
                                                    • -
                                                    • In-depth knowledge of automation for both application and infrastructure deployment
                                                    • -
                                                    • Demonstrated understanding of automation and orchestration across multiple technologies including Linux, Windows, etc.
                                                    • -
                                                    • Hand on experience with common automation and DevOps tools.
                                                    • -
                                                    • Intermediate understanding of Enterprise methodologies, such as ITIL, CMMI, and Software Development Life Cycle (SDLC)
                                                    • -
                                                    • Experience in executing processes using CMMI or ITIL
                                                    • -
                                                    • Strong relationship management and consulting skills which results in proven
                                                      ability to quickly earn the trust of stakeholders
                                                    • -
                                                    • Experience implementing and changing processes
                                                    • -
                                                    • Solid business and technical acumen, with demonstrated agility in learning and ability to become comfortable with unfamiliar businesses areas or technologies
                                                    • -
                                                    • Solid presentation, written and verbal communication skills
                                                    • +
                                                    • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                    • +
                                                    • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                                    • +
                                                    • Executes strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                    • +
                                                    • Supports case valuation and prioritization to optimize fraud management
                                                    • +
                                                    • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                    -

                                                    -

                                                    Qualifications

                                                    +

                                                    Process Support

                                                      -
                                                    • Possesses a university degree and/or 5+ years relevant work experience
                                                    • -
                                                    • 5-7 years experience in cross functional technology system administration
                                                    • -
                                                    • Excellent understanding of OS, Network, Database and middleware technologies
                                                    • -
                                                    • A minimum of 3-4 years hands on experience using automation tools such as Ansible or Chef
                                                    • -
                                                    • Must have a minimum of 3 years hands-on experience using DevOps tools such as Ansible CDD, Artifactory and Bit Bucket.
                                                    • -
                                                    • A minimum of 2 years of Java programming
                                                    • -
                                                    • 1 to 2 years of Docker and Kubernetes experience
                                                    • -
                                                    • A minimum of 2 years of automation development and management experience
                                                    • -
                                                    • A minimum of 3 years hands-on experience of system and infrastructure administration
                                                    • -
                                                    • A minimum of 3 years working in a SDLC delivery process
                                                    • +
                                                    • Produce timely diagnostics to identify system, strategy and operational issues
                                                    • +
                                                    • Participates in defect analysis to identify and remediate fraud coverage gaps
                                                    • +
                                                    • Identify and assess new developing fraud trends as they evolve
                                                    • +
                                                    • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                                    -

                                                    -

                                                    Responsibilities

                                                    +

                                                    Partner Support

                                                      -
                                                    • Contribute to the automation of key manual processes and procedure using the standard SLF DevOps tools, processes and standards.
                                                    • -
                                                    • Provide input to the development of the Enterprise DevOps automation Policy, Standards and processes as well as the integrated release schedules and plans for completed automation tasks.
                                                    • -
                                                    • Maintain automation task status data required to create an integrated release schedule for automated processes and procedures Technical Services and Application Services.
                                                    • -
                                                    • As automation and DevOps practices mature in the organization, the number of releases to production will increase. Maintain/govern automated tasks as they move through the build, develop, test, stage and release lifecycle.
                                                    • -
                                                    • Execute on the automation strategy as it relates to the enterprise DevOps strategies.
                                                    • -
                                                    • Ensure governance and alignment across multiple departments.
                                                    • -
                                                    • Facilitate cross-department coordination to identify opportunities for automation of manual tasks or functions.
                                                    • -
                                                    • Ensure all automation playbooks are compliant with SLF security directives and policies
                                                    • -
                                                    • Provide expert level input to the build-out of an enterprise-wide automation release roadmap/calendar in partnership with change management and key stakeholders
                                                    • -
                                                    • Produce metrics, reports and/or dashboards across the automation portfolio to aid in measuring the effectiveness of task, processes and procedure that have been automated
                                                    • -
                                                    • Create automation playbooks and companion documentation as references, to help development and operations understand the logic and contents of the automated tasks
                                                    • -
                                                    • Communicate with individuals involved in the various verticals to:
                                                        -
                                                      • Identify areas of automation and determine effective ways to implement
                                                      • -
                                                      • Update automation release plans to keep rolling 12 month forecast accurate
                                                      • -
                                                      • Educate business and operations SMEs on the use of automation tools, overall integration and seek feedback for improvement
                                                      • -
                                                      • Always operate in strict compliance of security and change management directives
                                                      • +
                                                      • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                                      • +
                                                      • Support the continuous improvement agenda for our operational partners
                                                      -
                                                    • +
                                                      +
                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                    +
                                                      +
                                                    • SQL and technical skills are definite must haves. Payment processing is highly desirable

                                                    • +
                                                    • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program

                                                    • +
                                                    • Proficiency in a data extraction/analysis/visualization tool. Examples include: SAS, SQL, Python, Knowledge Seeker, Excel, Tableau

                                                    • +
                                                    • Demonstrated analytical, modeling and problem solving skills

                                                    • +
                                                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions

                                                    • +
                                                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation

                                                    • +
                                                    • Ability to take initiative and work independently under tight timelines

                                                    • +
                                                    • Ability to work collaboratively and build relationships

                                                    • +
                                                    • Motivated to constantly strive to find innovative ways to enhance capabilities

                                                    -

                                                    What’s in it for you?

                                                    +

                                                    Preferable

                                                      -
                                                    • To be part of a dynamic team of professionals in a highly collaborative environment
                                                    • -
                                                    • Opportunity to grow your skills through on the job coaching and formal training
                                                    • -
                                                    • To be part of an innovative culture where continuous improvement is valued and embedded in what we do
                                                    • -
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • -
                                                    • A common sense dress code, where you dictate how you dress based on your day
                                                    • -
                                                    • The opportunity to move along a variety of career paths with amazing networking potential
                                                    • -
                                                    • Flex hours and periodic work from home options.
                                                    • +
                                                    • Experience in fraud management is an asset

                                                    • +
                                                    • Knowledge of machine learning and data modeling is an asset

                                                    • +
                                                    • Agile experience is an asset

                                                    +

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    +

                                                    Hours

                                                    +
                                                    37.5

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/12635321/fraud-strategist-insights-and-analytics-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-05-21T18:13:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/63588755-fraud-strategist-insights-and-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12635321/fraud-strategist-insights-and-analytics-markham-ca/,expired,2021-05-20T15:41:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +334e05e6-dc3b-4b27-9b70-dbad65632ed1,63876658,Borealis AI,Research Engineer Data Systems,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-05-22T19:50:05.142Z,"

                                                    What’s the opportunity?

                                                    Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                    +

                                                    We’re looking for an enthusiastic research engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                                    +

                                                    At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                    +

                                                    Your responsibilities include:

                                                    • Building data systems to support machine learning-based software solutions;
                                                    • Conducting comparisons to existing data algorithms and baselines;
                                                    • Reviewing, extending, and optimizing prototype data solutions;
                                                    • Supporting projects with thorough documentation, design decisions, and capabilities.
                                                    • Collaborating with research and business teams to model and deliver on their data needs;
                                                    • +
                                                    +

                                                    You’re our ideal candidate if you have:

                                                    • A master’s or PhD degree in computer science, software engineering, or equivalent, with research experience in data systems;
                                                    • 2+ years of software engineering experience in a high-responsibility, minimal-supervision environment;
                                                    • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Java;
                                                    • Solid understanding of distributed computing using CPUs and GPUs;
                                                    • Familiarity to Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                    • Strong communication skills and a collaborative attitude
                                                    • +
                                                    +

                                                    What's in it for you?

                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • Ability to make a difference and lasting impact from a local-to-global scale
                                                    • +
                                                    +

                                                    How to apply:

                                                    Please email your resume, Google Scholar (or equivalent), or GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

                                                    +

                                                    About Borealis AI

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                    +

                                                    Inclusion and Equal Opportunity Employment

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-06-24T20:58:40.351Z,False,1,0,15,https://talenthub.vectorinstitute.ai/jobs/63876658-research-engineer-data-systems-at-borealis-ai,,expired,2021-05-22T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, +909fd7a8-f5fa-41fb-b447-b7350ac406f2,64157693,Scotiabank,"Manager, AML/ATF Models and Analytics",on_site,"Toronto, ON, Canada",2021-05-25T21:40:44.232Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/DevOps-Automation-Specialist_JR00032831?utm_source=VectorInstitute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-08-25T14:41:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/37638727-devops-automation-specialist-at-sun-life-financial,,expired,2020-08-05T13:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e57888fe-0ac5-4be2-a21a-c37d9a246ce6,37731982,Layer 6,Machine Learning Scientist ☑️,on_site,"Toronto, ON, Canada",2020-08-07T20:24:03.871Z,"

                                                    Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                    -

                                                    Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                    -

                                                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                    -

                                                    Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                    -

                                                    As a machine learning scientist, you will

                                                    -
                                                      -
                                                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                    • -
                                                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                    • -
                                                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                    • -
                                                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                    • -
                                                    -

                                                    Required Qualifications

                                                    -
                                                      -
                                                    • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                    • -
                                                    • Strong background in machine learning
                                                    • -
                                                    • 5+ years of research experience with publication record
                                                    • -
                                                    • Proven track record of applying machine learning to solve real-world problems
                                                    • -
                                                    -

                                                    Preferred Qualifications

                                                    -
                                                      -
                                                    • Experience with deep learning and/or collaborative filtering
                                                    • -
                                                    • Hands on experience in software systems development and SaaS applications
                                                    • -
                                                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                    • -
                                                    • Experience using GPUs for accelerated deep learning training
                                                    • -
                                                    • Familiarity with AWS
                                                    • -
                                                    -

                                                    Benefits

                                                    -
                                                      -
                                                    • Entrepreneurial and inclusive culture
                                                    • -
                                                    • Excellent health coverage
                                                    • -
                                                    • Four weeks paid vacation
                                                    • -
                                                    • Catered lunches twice a week over machine learning talks
                                                    • -
                                                    • Opportunities to collaborate with faculty at the Vector Institute
                                                    • -
                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-09-06T20:24:00.000Z,False,8,0,230,https://talenthub.vectorinstitute.ai/jobs/37731982-machine-learning-scientist-at-layer-6,,expired,2020-08-07T20:24:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, -1727568b-9dda-4d6e-900a-72823961c031,37981584,Manulife,Automation & Digitization - Senior Full Stack Engineer,on_site,"Waterloo, ON, Canada",2020-08-10T15:31:47.114Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    The role Manager, AML/ATF Models and Analytics is responsible for applying sophisticated predictive/analytical modelling techniques and latest AML/ATF rules and scenarios to new models AND for enhancing the performance of existing Payment and Name Scanning models. This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Also ensures all activities conducted follow governing regulations and internal policies and procedures.

                                                    -

                                                    Job Description

                                                    -

                                                    The Automation and Digitization team is focused on Manulife’s digital transformation to provide our Customers with a more dynamic technology experience. We are looking for an equally dynamic Software Engineer who obsesses about Customers and is passionate about developing amazing technology solutions. We are focused on developing products for our internal Business Unit IT Team’s to enable them to quickly transform to digital and enable automation.

                                                    -

                                                    Automation & Digitization Team, we are:

                                                    -
                                                      -
                                                    • An agile team that sits right beside our business partners designing amazing Customer solutions that make it easy to work with Manulife
                                                    • -
                                                    • Ready to fail fast trying new ideas that challenge the way we do business
                                                    • -
                                                    • An interesting and competitive cast of characters who are always looking to innovate and find new ways of wowing our Customers
                                                    • -
                                                    • Here to support each other and create a fun and challenging work environment where everyone is engaged and all in on making our Team an awesome group to work with
                                                    • -
                                                    +

                                                    Key Accountabilities:

                                                    -

                                                    As a Senior Full Stack Engineer, you will:

                                                      -
                                                    • Design, code, unit test and integrate new features and functionality
                                                    • -
                                                    • Apply creative problem solving that bring software designs to life
                                                    • -
                                                    • Build apps, APIs and data solutions to drive projects
                                                    • -
                                                    • Promote agile principles and methodology
                                                    • -
                                                    • Participate in ideation and brainstorming sessions to devise creative and disruptive digital solutions
                                                    • -
                                                    • Perform various investigative ""Spikes"" in order to mitigate technical uncertainty and risk
                                                    • -
                                                    • Assist in the development of automated test harnesses as necessary to ensure delivery of high-quality code
                                                    • -
                                                    • Update progress daily through the tracking tool (Jira) or Kanban board
                                                    • -
                                                    • Complete and ensure completion of any required documentation required e.g. deployment, maintenance, support and business needs
                                                    • -
                                                    • Participate in the weekly Look Ahead meetings to assist the Product Owner to refine the Product Backlog including providing initial estimates
                                                    • -
                                                    • Apply disciplined coding practices to enable agility and delivery of high-quality code
                                                    • +
                                                    • Conducts testing, tuning, development and implementation of AML/ATF name/payment scanning rules and models.
                                                    • +
                                                    • Vets the effectiveness of scanning systems and provide recommendations for improvement based on identified risks/gaps.
                                                    • +
                                                    • Identifies and demonstrate value in opportunities to improve the efficiency of the models
                                                    • +
                                                    • Prepare model documentation to support the model development and validation process.
                                                    • +
                                                    • Properly identifies, reports and escalates issues which may impact the AML/ATF program resulting from performance, functionality or changes within name/payment scanning applications.

                                                    -

                                                    An opportunity to bring and continuously build upon the following skills and experience:

                                                    +

                                                    Experience / Education:

                                                    +

                                                      -
                                                    • Agile, PCF, Node, React and Jenkins (must have)

                                                      -
                                                    • -
                                                    • Technologies such as: React, Angular, JQuery, Javascript, Python, Scala or Java
                                                    • -
                                                    • Good API skills (technologies such as Express/Node, GraphQL/Relay, Flask, Jersey, Java Spring REST or WebApi2)
                                                    • -
                                                    • Writes clear, readable and maintainable code, takes ownership of the quality and usability of code
                                                    • -
                                                    • Understands how to find and reuse patterns and platforms in the Manulife ecosystem and the broader community
                                                    • -
                                                    • Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
                                                    • -
                                                    • Good foundation in data structures, algorithms, and OO Design with rock-solid programming skills
                                                    • -
                                                    • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                    • -
                                                    • Constantly learns from both success and failure
                                                    • -
                                                    • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                    • -
                                                    • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                    • -
                                                    • Experiments with emerging technologies and understanding how they will impact what comes next
                                                    • -
                                                    • Experience working in or leading complex enterprise implementations
                                                    • +
                                                    • Expertise in modelling methods and statistical analysis
                                                    • +
                                                    • Prior experience in data extraction, manipulation and reporting, with advanced Python, SAS, R, SQL programming skills
                                                    • +
                                                    • Tech savvy with knowledge of systems architecture and interaction of multiple server environments.
                                                    • +
                                                    • Creative, able to see the big picture and draw recommendations based on detailed knowledge of the systems/data
                                                    • +
                                                    • Sound knowledge of banking and payment operations
                                                    • +
                                                    • Nice to have AML/ATF Name Scanning (FircoSoft) or Payment Scanning (HotScan) knowledge/experience
                                                    • +
                                                    • Bachelor’s degree or higher in Data science, Statistics, Mathematics, Engineering or another quantitative field preferred.

                                                    -


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    -


                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -



                                                    -

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/959415/AutomationDigitizationSeniorFullStackEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-09T16:06:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/37981584-automation-digitization-senior-full-stack-engineer-at-manulife,,expired,2020-08-10T15:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -16bd7f7b-ba2b-4b30-a5f0-960381ebdb37,38104122,Vector Institute,Project Management Intern,temporary,"Toronto, ON, Canada",2020-08-13T22:42:43.324Z,"

                                                    POSITION OVERVIEW

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/547354917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-24T21:40:46.036Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/64157693-manager-aml-atf-models-and-analytics-at-scotiabank,,expired,2021-05-25T21:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +70df7936-f0bf-4919-adb9-439a0762ea92,64157695,Scotiabank,Data Analytics Investigator,on_site,"Toronto, ON, Canada",2021-05-25T21:41:25.218Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    The Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute where the objectives are to help our industry sponsors develop, deploy and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation team are met.

                                                    -

                                                    Start date: Fall 2020

                                                    -

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    +

                                                    Purpose

                                                    -

                                                    As a Vector intern, you will work up to 20 hours per week over an academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                    -

                                                    Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                    +

                                                    Contributes to the overall success of the Corporate Security global mandate by ensuring that specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    -
                                                      -
                                                    • Assist in the development and management of Industry Projects, creating and updating project plans, schedules, status reports, and other project deliverables (e.g. business cases, executive roadmaps, etc);
                                                    • -
                                                    • Facilitate discussions on AI applications and identification of potential contributors in the broader ecosystem;
                                                    • -
                                                    • Support project meeting coordination functions such as booking meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), taking minutes, tracking action items and following up with meeting participants;
                                                    • -
                                                    • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, conducting jurisdictional scans, report writing;
                                                    • -
                                                    • Perform quantitative and qualitative analysis; and,
                                                    • -
                                                    • Other duties as assigned.
                                                    • -
                                                    +

                                                    Core Accountabilities:

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -
                                                      -
                                                    • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector's Recognized Programs
                                                    • -
                                                    • You are motivated to apply machine learning techniques to real-world problems
                                                    • -
                                                    • You have experience using GSuite and/or MS Office 365 applications
                                                    • -
                                                    • You have the requisite software skills and experience developing, refining and deploying machine learning models to problems outside of the research sector; experience in project management considered an asset
                                                    • -
                                                    • You are interested in learning software development skills, refining and deploying machine learning models to problems outside of the research sector
                                                    • -
                                                    • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link health data, privacy concerns, challenges associated with unstructured or unlabelled data)
                                                    • -
                                                    • You are a good communicator who is interested in helping non-technical people to understand machine learning and other AI techniques
                                                    • -
                                                    • You are organized and efficient, with strong problem-solving skills
                                                    • -
                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                    • -
                                                    • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture
                                                    • -
                                                    • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem
                                                    • -
                                                    +
                                                    • Assist with the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.

                                                    -

                                                    Please click the ""Apply to this Job"" button to be re-directed to Vector's webpage to complete the application. Please address applications to Kailyn Burke, HR Generalist. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                    +
                                                    • Contributes to the design of complex predictive models and pattern detection algorithms in Splunk to detect suspicious digital fraud alerts and user behavioral activities. Decode and debug complex Search queries, build Splunk Use Cases for financial crime, employee monitoring, threat intelligence, Online banking, PCI & PII use cases.

                                                    -

                                                    Review of applications will begin August 20, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    +
                                                    • Contributes to the support and maintenance of the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new Splunk data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.

                                                    -

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    +
                                                    • Analyze, review, and provide insight into the Bank’s enterprise insider threat program, major digital fraud and financial crimes investigations, other intelligence big data analytics industry initiatives to proactively support business decisions and processes.

                                                    -

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=93&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-08-25T14:43:00.000Z,True,0,41,251,https://talenthub.vectorinstitute.ai/jobs/38104122-project-management-intern-at-vector-institute,,expired,2020-08-13T22:42:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Internship/Co-op,No Degree,New Posting, -ebdb09d4-b36d-4717-b2b1-1e52abf8fc51,23916448,Wattpad,Data Engineer - Wattpad Labs,on_site,"Toronto, ON, Canada",2019-11-08T15:28:41.125Z,"

                                                    Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!
                                                    Our users have uploaded over half a billion stories on to our platform! This data is used to inform multi-million dollar business initiatives, drive product decisions and develop cutting-edge machine learning models.
                                                    We are currently looking for a Data Engineer to join our Story DNA Squad in our Wattpad Labs business unit. Story DNA generates new opportunities for Wattpad by utilizing the latest advancements in natural language processing and machine learning to build intelligent products. Our business is fast-paced, dynamic and evolves quickly; so you are versatile, adaptable, and are able to decompose complex problems. Our team includes engineers, data scientists, and a product manager. You will spend your time enhancing our product offerings. Your work impacts millions of users every day.

                                                    +
                                                    • Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
                                                    +

                                                    +
                                                    • Establish and maintain effective dialogue with internal technology and business partners to identify opportunities for new initiatives, development, and risk mitigation.
                                                    +

                                                    +

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Education & Designations:

                                                    +

                                                    +
                                                    • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on work experience preferred.
                                                    +

                                                    +

                                                    +

                                                    Work Experience/Technical Skills Required:

                                                    -

                                                    What you'll be doing:

                                                    -
                                                      -
                                                    • Ship and maintain machine learning models in production
                                                    • -
                                                    • Implement scalable, robust ETL/ELT data pipelines
                                                    • -
                                                    • Design, build, maintain, and evolve a large scale distributed system serving millions of people per day
                                                    • -
                                                    • Work collaboratively with product management and data scientists
                                                    • -
                                                    • Contribute towards continuous improvement across data and engineering department
                                                    • -
                                                    -

                                                    What we're looking for:

                                                    -
                                                      -
                                                    • Solid understanding of data engineering best practices (batch data processing, streaming, etc.)
                                                    • -
                                                    • Understanding of software engineering fundamentals and principles
                                                    • -
                                                    • Familiarity with data engineering tools; and proficiency with at least one: ElasticSearch, Spark, Airflow, Luigi, Hive
                                                    • -
                                                    • Proficiency with cloud technologies (AWS, EMR, ECR)
                                                    • -
                                                    • Proficiency in Python, SQL, and *nix environments
                                                    • -
                                                    • You are eager and take initiative, you leave the campgrounds cleaner than you found it
                                                    • -
                                                    • 3+ years of related industry experience
                                                    • -
                                                    • Interest in natural language processing and understanding
                                                    • -
                                                    -

                                                    What we offer:

                                                    -
                                                      -
                                                    • Competitive salary
                                                    • -
                                                    • Meaningful equity (stock options)
                                                    • -
                                                    • Career development; we believe in mentorship and supporting you to achieve your goals
                                                    • -
                                                    • Hackathons
                                                    • -
                                                    • Health benefits, fully covered on us!
                                                    • -
                                                    • Generous parental leave top-up
                                                    • -
                                                    • Transit pass, choice of hardware, flexible hours
                                                    • -
                                                    • Corporate discount for gym memberships for you and your family
                                                    • -
                                                    • A beautiful office in downtown Toronto, with easy access to transit
                                                    • -
                                                    • And a whole lot more!
                                                    • -
                                                    -


                                                    About Wattpad
                                                    Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                                    Culture and Diversity
                                                    Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                                    We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                    ",,https://company.wattpad.com/work-at-wattpad/detail?id=b658ff6a-597a-48c3-a112-3ee15c118acb,adam.renkosinski@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-02-24T15:28:00.000Z,False,0,9,83,https://talenthub.vectorinstitute.ai/jobs/23916448-data-engineer-wattpad-labs-at-wattpad,,expired,2019-11-28T12:02:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -1d2fa2d9-66b3-4a91-ad86-8a130aec4da1,24510870,Manulife,Senior Data Science Engineer,on_site,"Toronto, ON, Canada",2019-11-13T21:09:21.766Z,"

                                                    The Role: Senior Data Science Engineer

                                                    -

                                                    The Senior Data Science Engineer is a data domain subject matter expert, providing support to the team via exploratory data analysis, data modeling, intelligent automation, and ad-hoc reporting. The Data Science Engineer will be responsible for navigating Manulife's data systems and third party data sources. The Data Science Engineer is responsible for managing the data supply chain, including: data acquisition, data quality & completeness checks, data cleansing, data transformation & integration from internal and external sources, and preparation of analytical data sets for modeling.

                                                    -

                                                    Responsibilities:

                                                    -

                                                    Support Analytics projects through data sourcing, exploration, cleanup, manipulation, modeling and design

                                                    -
                                                      -
                                                    • Support data delivery from both internal and external sources; collaborate with data experts & data sourcing resources.
                                                    • -
                                                    • Thorough understanding of and experience with data gathering, storing, and retrieval methods.
                                                    • -
                                                    • Tactical support of data validation, consolidation and cleansing processes.
                                                    • -
                                                    • Work with Data Scientists to transform business requests into valued works including: data integration, data mapping, modeling and meta-data design; data aggregation; data cleansing & other data-related processes.
                                                    • -
                                                    • Build pipelines to improve turnaround time on data availability and increase efficiencies of machine learning model building and deployment processes.
                                                    • -
                                                    -

                                                    Provide line of business data domain expertise

                                                    -
                                                      -
                                                    • Responsible for understanding the systems & data environment for Global Wealth and Asset Management
                                                    • -
                                                    • Work closely with Investment Operations, Chief Analytics Officer, and IS teams to collaboratively assess, understand, improve and deliver rich data content for analysis.
                                                    • -
                                                    • Research & use technical documentation in order to gain a holistic understanding of the data domain.
                                                    • -
                                                    • Assist in the development of conceptual/logical data models with appropriate business contexts.
                                                    • -
                                                    • Support researching data structure and/or data content issues and the design of effective data solutions.
                                                    • -
                                                    • Document current and future business processes.
                                                    • -
                                                    -

                                                    Support ad-hoc data and reporting requests

                                                    -
                                                      -
                                                    • Deliver ad-hoc reporting in order to support Global Wealth and Asset Management initiatives and advanced analytics projects.
                                                    • -
                                                    • Deliver reporting & visualizations to effectively communicate insights to non-technical business users for a variety of audiences.
                                                    • -
                                                    • Employ analytical, conceptual, and creative thinking skills to solve data analysis problems and get business results.
                                                    • -
                                                    -

                                                    Qualifications:

                                                    -
                                                      -
                                                    • University degree in quantitative based field (e.g. Math, Physics, Engineering, Computer Science).
                                                    • -
                                                    • 5+ year of data engineering experience preferred.
                                                    • -
                                                    • Advanced experience with multidimensional and relational databases.
                                                    • -
                                                    • Familiarity with cloud technologies, IaaS, PaaS, SaaS, DaaS.
                                                    • -
                                                    • Advanced experience in Python, SQL, R, .net.
                                                    • -
                                                    • Advanced experience in data management and working with ETL tools.
                                                    • -
                                                    • Advanced experience working with internal business clients to develop analytical insights.
                                                    • -
                                                    • Experience providing data analysis to support management decisions.
                                                    • -
                                                    • General knowledge of data analytics theory & application.
                                                    • -
                                                    • Experience with analytics tools and visualization tools a plus.
                                                    • -
                                                    • Financial services experience desired
                                                    • -
                                                    -

                                                    Personal Attributes and Cultural Fit:

                                                      -
                                                    • Inspires and motivates others.
                                                    • -
                                                    • Role model of ethics and integrity who builds a culture of respect.
                                                    • -
                                                    • Highly effective change agent who embraces change and leads change management.
                                                    • -
                                                    • Provides courageous advice.
                                                    • -
                                                    • Results oriented; highly focused on accountability.
                                                    • -
                                                    • Ability to handle multiple partners
                                                    • -
                                                    • Demonstrates a commitment to delivering excellent service balanced with appropriate risk management.
                                                    • -
                                                    • Strategic perspective.
                                                    • -
                                                    • Highly collaborative working style.
                                                    • +
                                                    • Solid working experience in an analytical role, using expert Splunk SPL query language to create dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and digital fraud analysis.
                                                    • +
                                                    • Demonstrated ability working with analytical and computing tools, such as like Splunk, Microsoft Power BI, SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
                                                    • +
                                                    • Training and/or certifications in Splunk Enterprise Version 7.x and 8.x and Data Analytics would be an asset.
                                                    • +
                                                    • Strong verbal, written, presentation & communication skills
                                                    • +
                                                    • Creative, out-of-the-box thinker with strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate data with attention to detail and accuracy.
                                                    • +
                                                    • Must be self-motivated, self-starter, energetic and results-oriented and be committed to adding value to the organization.
                                                    • +
                                                    • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset.
                                                    -

                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    -


                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/Id/790914/Senior%20Data%20Science%20Engineer,aimasters@vectorinstitute.ai,https://www.manulife.ca/personal.html,,,2020-02-24T21:09:00.000Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/24510870-senior-data-science-engineer-at-manulife,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -010d2e28-ceb8-456a-b37a-cefcfaa45eeb,24716931,Scotiabank,"Director, Name Screening, AML/ATF Models and Analytics",on_site,"Toronto, ON, Canada",2019-11-15T14:51:09.580Z,"

                                                    Requisition ID: 63443

                                                    -

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Analytics-Investigator-ON-M5H1H1/547264117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-18T14:30:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/64157695-data-analytics-investigator-at-scotiabank,,expired,2021-05-25T21:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +76470424-331f-495c-951f-70b83a537efc,64157696,Scotiabank,Business Data Analytics Lead - Global Compliance,on_site,"Toronto, ON, Canada",2021-05-25T21:42:02.735Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    Purpose:

                                                    -

                                                    The Director, Name Screening, AML/ATF Models and Analytics is responsible for leading a team that applies sophisticated statistical techniques to enhance the name and payment screening processes for Scotiabank across all products across all countries. The Director will apply statistical, data mining and pattern analysis techniques to create new rules/logic for name screening and / or tuning of the rules in line with Scotiabank’s risk appetite and policies.

                                                    -

                                                    Accountabilities:

                                                    +

                                                    Purpose

                                                    +

                                                    Scotiabank’s Global Compliance is seeking Business Data Analytics Lead to join our Data & Analytics team. We are building a leading, best-in-class Global Compliance function to maintain customer trust and protect the Bank’s reputation.

                                                    +

                                                    +

                                                    The incumbent contributes to the overall success of Global Compliance by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    +

                                                    +

                                                    Accountabilities

                                                      -
                                                    • Lead the application of sophisticated statistical techniques to develop and enhance name screening and payment screening rules/logic for a wide range of products across all countries in Scotiabank’s global footprint
                                                    • -
                                                    • Understanding latest advances in AML analytics & predictive models, including applications Artificial Intelligence Machine Learning
                                                    • -
                                                    • Provide direction to the model development teams to scope, understand and appropriately document the models. Develop and update statistical approaches with longer term strategies to mitigate this risk and improve the model performance across products and services globally
                                                    • -
                                                    • Oversee the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                                                    • -
                                                    • Lead a team of quantitative risk professionals in this area
                                                    • -
                                                    • End to end ownership of Name Screening analytics, including rule/logic development, tuning, documentation, deployment (in collaboration with IT&S) and monitoring
                                                    • -
                                                    • Frequently interface with regulators, auditors and model validation teams.
                                                    • +
                                                    • Partner with various leaders in compliance to identify areas where advanced analytics can be applied to address internal audit, external regulatory findings and critical gaps identified through 3rd party reviews and to develop solutions required
                                                    • +
                                                    • Raise awareness in Global Compliance on the application of advanced analytics and enhance adoption of insights-driven solutions for planning and issue management
                                                    • +
                                                    • Focused culture throughout the analytics team to deepen insights and leverage broader Bank relationships, systems and knowledge to add value to internal compliance stakeholders, including all 3 lines of defence
                                                    • +
                                                    • Act as a trusted advisor and partner, providing strategic direction and oversight for the development, prioritization, and implementation of advanced analytics models and use cases across each respective business lines
                                                    • +
                                                    • Work with the business to identify new kinds, types and sources of data and applications for analytics to address critical gaps in compliance capabilities and define processes for the effective, integrated introduction of new data.
                                                    • +
                                                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                    • +
                                                    • Plans and facilitate discussions with business clients to gather business, data source requirements and to present findings and results of analytics solutions
                                                    • +
                                                    • Develops and delivers process documentation that reflects current business processes, data sources and future state requirements
                                                    • +
                                                    • Participates in all aspects of an Agile systems development life cycle
                                                    • +
                                                    • Ensures compliance with all applicable data regulations and policies
                                                    • +
                                                    • Applies best practices for effective communication, relationship management and problem-solving with stakeholders/partners
                                                    • +
                                                    • Must be flexible to adapt to a dynamic environment, make quick and sound decisions under pressure
                                                    • +
                                                    • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.


                                                      Education/Experience: +
                                                    -

                                                    -

                                                    Requirements & Experience:

                                                      -
                                                    • Statistical modeling and data science methods
                                                    • -
                                                    • Programming in statistical languages such as R, SAS. Experience with databases such as Oracle or SQL Server
                                                    • -
                                                    • AML/ATF experience or analytic knowledge
                                                    • -
                                                    • Name scanning applications such as HotScan, FircoSoft and Bridger is a must
                                                    • -
                                                    • People manager for minimum 3 years
                                                    • -
                                                    • Master’s degree or higher in science, technology, engineering or mathematics preferred
                                                    • +
                                                    • Masters / advanced degree in Statistics, Mathematics, Economics, MBA, FSA, or a PhD
                                                    • +
                                                    • Proven expert in analytics, data management and performance measurement
                                                    • +
                                                    • Recognized and resilient team leader who inspires a results-oriented culture
                                                    • +
                                                    • Exceptional business planning, strategy development and execution skills
                                                    • +
                                                    • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
                                                    • +
                                                    • Experience in leading teams and working with multiple stakeholders
                                                    • +
                                                    • Strong collaborative & consultative skills
                                                    • +
                                                    • Strong data set preparation and creation skills
                                                    • +
                                                    • Advanced statistical skills including working knowledge of text analytics (NLP), structural equation modeling, factor analysis, unsupervised / supervised learning, etc.
                                                    • +
                                                    • Advanced skills in analytics execution (e.g., R, Python, Spark)
                                                    • +
                                                    • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
                                                    • +
                                                    • Ability to multitask and manage multiple research projects
                                                    • +
                                                    • Demonstrated strong attention to detail, problem-solving, and critical thinking
                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    -

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Name-Screening%2C-AMLATF-Models-and-Analytics-ON/534992817/,adam.renkosinski@vectorinstitute.ai,https://www.scotiabank.com/ca/en/personal.html,,,2020-02-03T14:51:00.000Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/24716931-director-name-screening-aml-atf-models-and-analytics-at-scotiabank,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -f048c950-8014-4608-8c9b-ed5a87206373,24967524,Manulife,Senior Data Scientist - Claims Analytics Centre of Excellence,on_site,"Toronto, ON, Canada",2019-11-18T19:05:12.588Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    -

                                                    Job Description

                                                    -

                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation (""Manulife"") is a leading international financial services group that helps people make their decisions easier and lives better. The company provides financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

                                                    -

                                                    The company is a Top 10 global life insurance company and a Top 20 global asset manager. The company operates primarily as John Hancock in the United States and as Manulife elsewhere. With its global headquarters in Toronto, Canada, Manulife trades as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -

                                                    Passionate about delighting its customers, creating value for its shareholders and building a world-class culture, Manulife’s President & CEO Roy Gori, and the leadership team have established a bold ambition to transform Manulife into the most customer-centric, digital leader in the industry, setting out detailed plans against five strategic priorities to achieve this ambition.

                                                    -

                                                    For more details about our Mission, Strategic Priorities and Values, please follow the link below:

                                                    -

                                                    https://www.manulife.com/en/ab... Role: Senior Data Scientist - Claims Analytics Centre of Excellence

                                                    -

                                                    The Claims Analytics Centre of Excellence has a global mandate focused on unleashing the power of claims data by providing thought leadership, delivering end to end projects and supporting Manulife’s local Advanced Analytics teams operating in Canada, the US & Asia.

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Business-Data-Analytics-Lead-ON-M5H3R3/547264917/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-24T21:42:04.717Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/64157696-business-data-analytics-lead-global-compliance-at-scotiabank,,expired,2021-05-25T21:42:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +0196c10e-438b-402d-a9e5-73fd92548e67,64198087,KPMG,"Data Analyst, Consultant, Fall Intern/Co-op",on_site,"Toronto, ON, Canada",2021-05-26T06:05:19.580Z,"

                                                    Job Description

                                                    +

                                                    Overview

                                                    +

                                                    You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

                                                    -

                                                    The Role: The Senior Data Scientist is accountable for the research, development and implementation of advanced analytics models and algorithms using claims data tied back to the mandate of the Claims Analytics CoE. This position will provide analytics thought leadership and support the development of the capabilities of the team.

                                                    +

                                                    When you join KPMG you’ll be one of over 207,000 professionals providing audit, tax, advisory and business enablement services across 153 countries.

                                                    -

                                                    Responsibilities:

                                                    -
                                                      -
                                                    • Lead and deliver advanced analytics solutions through consulting type engagements with internal business clients
                                                    • -
                                                    • Perform requirement analysis with business area (understand business problem and generate hypotheses)
                                                    • -
                                                    • Build, test, deploy and iteratively improve models
                                                    • -
                                                    • Calculate model impact/Return on Investment and communicate value to partners
                                                    • -
                                                    • Implement measurement and documentation framework against all project work
                                                    • -
                                                    • Generate insights for businesses so that they clearly recognize the quantifiable value considering trade-offs between and among choices
                                                    • -
                                                    • Enable those who are not professional data analysts to effectively interpret data through effective communication of results and analytics outcomes
                                                    • -
                                                    • Provide thought leadership around analytics methodology, tools, and measurement
                                                    • -
                                                    • Innovate and find creative ways to source data to support modeling efforts, using structured and unstructured data using Big Data technologies
                                                    • -
                                                    • Peer review other Data Scientists’ work
                                                    • -
                                                    +

                                                    With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

                                                    +

                                                    +

                                                    We are seeking co-op students to join our Advisory team starting Fall 2021 working in our Risk Analytics practice within the GRCS (Government Risk Compliance Services) service line in the Toronto Office.

                                                    +

                                                    +

                                                    * GRCS formally IARCS (Internal Audit Risk Compliance Services)

                                                    +


                                                    What you will do

                                                    +

                                                    You’ll have the opportunity to work across geographies and industries to take on challenging and groundbreaking projects while building strong relationships with our people and developing professional skills that will help set you up for success.

                                                    -

                                                    Decision Authorities:

                                                      -
                                                    • Owns and delivers projects of diverse scope.
                                                    • -
                                                    • Oversees the work of more junior data scientists.
                                                    • -
                                                    • Independently provides analysis on datasets of significant complexity
                                                    • -
                                                    • Recommends implementable solutions to (or in collaboration with) business partners
                                                    • +
                                                    • Work closely with clients in understanding key business issues.
                                                    • +
                                                    • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                    • +
                                                    • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                    • +
                                                    • Develop strong experiences in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                                    • +
                                                    • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                    • +
                                                    • Work with large volumes of data (structured and unstructured).
                                                    • +
                                                    • Run queries for descriptive analytics and provide formatted result sets.
                                                    • +
                                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                    • +
                                                    • Bridge the gap between technical platform needs and business issues.
                                                    • +
                                                    • Perform quantitative analysis of data issues.
                                                    • +
                                                    • Effectively communicate orally and written with peers within GRCS, KPMG and the client.
                                                    -

                                                    -

                                                    Qualifications:

                                                    +


                                                    What you bring to the role

                                                      -
                                                    • Ph.D. or Masters Degree in a quantitative discipline (Statistics, Applied Mathematics, Computer Science, etc.)
                                                    • -
                                                    • 5+ plus years developing of probabilistic models, data mining, and machine learning algorithms including real world experience in model development validation and testing and implementation
                                                    • -
                                                    • Expert in data analysis using Python, R, SQL or SAS
                                                    • -
                                                    • Strong data engineering, and data management expertise with proven data transformation and manipulation experience
                                                    • -
                                                    • Knowledge of Knowledge of big data system, NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc
                                                    • -
                                                    • Strong commitment to organizational success and team work
                                                    • -
                                                    • Proven ability to exchange ideas and convey complex information clearly and concisely
                                                    • -
                                                    • Experience in sales, distribution, and/or marketing modeling desirable - financial services industry experience preferred
                                                    • +
                                                    • You have a strong academic record and excel in an entrepreneurial environment.
                                                    • +
                                                    • You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.
                                                    • +
                                                    • Strong experience working with data from a variety of databases.
                                                    • +
                                                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks.
                                                    • +
                                                    • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI) and Python
                                                    • +
                                                    • Experience working in a multi-disciplinary team to tackle complex data processing problems across a diverse range of industries.

                                                    -

                                                    Personal Attributes and Cultural Fit:

                                                    +

                                                    Keys to your success:

                                                    +

                                                      -
                                                    • Inspires and motivates others.
                                                    • -
                                                    • Role model of ethics and integrity who builds a culture of respect.
                                                    • -
                                                    • Highly effective change agent who embraces change and leads change management.
                                                    • -
                                                    • Provides courageous advice.
                                                    • -
                                                    • Results oriented; highly focused on accountability.
                                                    • -
                                                    • Ability to handle multiple partners
                                                    • -
                                                    • Demonstrates a commitment to delivering excellent service balanced with appropriate risk management.
                                                    • -
                                                    • Strategic perspective.
                                                    • -
                                                    • Highly collaborative working style.
                                                    • +
                                                    • Ability to explain data and analytics concepts to non-technical team members.
                                                    • +
                                                    • Ability to apply data and analytics concepts to business problems.
                                                    • +
                                                    • Ability to understand and explain business value of data and analytics concepts
                                                    • +
                                                    • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                    • +
                                                    • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                    • +
                                                    • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                    -


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    -


                                                    About Manulife

                                                    -

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    -

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/Id/748829/Senior-Data-Scientist-Claims-Analytics-Centre-of-Excellence/,adam.renkosinski@vectorinstitute.ai,https://www.manulife.com/en/careers/why-join-us.html,,,2020-01-20T19:05:00.000Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/24967524-senior-data-scientist-claims-analytics-centre-of-excellence-at-manulife,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -7ea5b573-69df-402d-a0b6-a35a4f2fe4cf,25225492,Layer 6,Sr. Full Stack Engineer,on_site,"Toronto, ON, Canada",2019-11-22T15:55:12.047Z,"

                                                    We are looking for world-class engineers to help us develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                    -

                                                    We empower our data scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                    -

                                                    As Senior Full Stack Engineer at Layer 6, you’ll work with data scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design a REST API for the front-end web application, while on the front-end, you’ll build intuitive interfaces to visualize data and answer questions about machine learning models.

                                                    -

                                                    You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                                    -

                                                    Requirements

                                                    -

                                                    What can you bring to TD & Layer 6? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

                                                    +

                                                    ** Please note that this opportunity is affiliated with our Toronto office and all candidates must be living in Canada to be considered.

                                                    +


                                                    Our Values, The KPMG Way

                                                    +

                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                    +

                                                    +

                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                    +

                                                    +

                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

                                                    +

                                                    +

                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca

                                                    ",,https://careers.kpmg.ca/students/jobs/8725?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-06-18T14:30:00.000Z,True,0,28,146,https://talenthub.vectorinstitute.ai/jobs/64198087-data-analyst-consultant-fall-intern-co-op-at-kpmg,,expired,2021-05-26T06:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +0985c896-eeda-4e1c-bb86-be2ac32887aa,64198246,Roche,Quality Data Analyst Specialist,on_site,"Toronto, ON, Canada",2021-05-26T06:19:23.060Z,"

                                                    Job Purpose:

                                                    +

                                                    The Quality Data Operations Specialist executes data analytics efforts in collaboration with Quality Data Operations Lead to enable the best use of data and data analytics supporting PDQ Strategy. The role supports Quality Data Operations Lead in management of operational aspects of data analytics, including creation and maintenance of relevant tools, platforms and dashboards. The role drives relevant data collection and generation activities to enable consistent and efficient use of data across PDQ and within relevant functions.

                                                    +

                                                    Primary Responsibilities and Accountabilities:

                                                    +

                                                    Data Analytics execution

                                                    +

                                                    ● Manage implementation plans for data and data analytics efforts:

                                                    +

                                                    o Identify potential data sources for new or existing processes in collaboration with relevant stakeholders.

                                                    +

                                                    o Drive assigned activities leading to design, development and implementation of analytics associated with quality generation activities and operational metrics.

                                                    +

                                                    o Identify gaps within data generation lifecycle activities and drive solutions to address those.

                                                    +

                                                    Data operations oversight

                                                    +

                                                    ● Support TL, Quality Data Operations in ensuring oversight of GCP and Quality analytics (such as quality evidence generation activities and operational metrics) and collaborate with Quality Data Operations Lead to develop associated processes and tools, including relevant platforms and/or dashboards.

                                                    +

                                                    ● Continuously review data and associated analytics methods to ensure consistency and efficiency of data use. Identify opportunities to improve and simplify data management processes including data collection, analytical solutions design and implementation.

                                                    +

                                                    ● Lead operational data maintenance efforts.

                                                    +

                                                    +

                                                    Professional and Technical Requirements

                                                    +

                                                    Education/Qualifications:

                                                    +

                                                    ● Bachelor’s degree or equivalent in computer science, business management or related scientific or quality related field or equivalent combination of education, training and experience.

                                                    +

                                                    Minimum:

                                                    +

                                                    ● Minimum 3 years in pharmaceutical industry including at least 1 in a data analysis and reporting related role.

                                                    +

                                                    ● Awareness of GxP regulatory requirements.

                                                    +

                                                    Desired:

                                                    +

                                                    ● Knowledge of GCP, CSV, pharmacovigilance / drug safety regulatory requirements.

                                                    +

                                                    Experience, Skills, Knowledge:

                                                    +

                                                    ● Good understanding of analysis reporting tools.

                                                    +

                                                    ● Proven experience in data wrangling and visualization tools for visual data analysis.

                                                    +

                                                    ● Demonstrated analytical, problem solving and decision-making skills.

                                                    +

                                                    ● Project management skills.

                                                    +

                                                    ● Effectively formulates strategies, tactics and action plan to achieve results.

                                                    +

                                                    ● Highly effective teamwork and collaboration skills.

                                                    +

                                                    ● Ability to work effectively in an international multicultural matrix organization.

                                                    +

                                                    ● Excellent written and verbal communication skills.

                                                    +

                                                    ● Fluency in written and spoken English.

                                                    +

                                                    ● Demonstrated knowledge of product development related global regulatory requirements.

                                                    +

                                                    Other (e.g. Travel): Travel: up to 10%

                                                    +

                                                    +

                                                    #LI-LM1

                                                    +

                                                    Show less

                                                      -
                                                    • BSc+ in Computer Science or similar
                                                    • -
                                                    • 5+ years of programming experience
                                                    • -
                                                    • Proven experience in designing and delivering a large web application
                                                    • -
                                                    • Experience as a key contributor and leader on projects
                                                    • -
                                                    • Strong experience in Java or JavaScript (or other front-end languages)
                                                    • -
                                                    • Extensive experience with at least one front-end framework (React, Elm, etc.)
                                                    • -
                                                    • Passionate about creating a great user experience
                                                    • -
                                                    • Strong desire to learn
                                                    • +
                                                    • +Who we areA member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

                                                      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
                                                    • +
                                                    • +Job facts
                                                        +
                                                      • Location United States of America, California, South San Francisco | Switzerland, Basel-City, Basel | Canada, Ontario, Mississauga | United Kingdom, Hertfordshire, Welwyn +
                                                      • Function Information Technology
                                                      • Subfunction Digitalisation / Data / Insights
                                                      • Schedule Full time
                                                      • Job level Individual contributor
                                                      • Job type Regular
                                                      • Division Roche Pharmaceuticals
                                                      • Posted since 2021/05/06
                                                      • Job-ID 202105-111823 +
                                                      -

                                                      What we consider an asset:

                                                      -",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-111823&locale=en&title=Quality+Data+Analyst+Specialist&source=APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-06-25T06:19:24.617Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/64198246-quality-data-analyst-specialist-at-roche,,expired,2021-05-26T06:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +b575d9e4-a727-4da6-8f7c-afdbe1d572e6,64894579,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-05-29T19:50:07.098Z,"
                                                      +

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto

                                                      +

                                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                                      Be encouraged to deepen your technical skills…whatever those may be.
                                                      Partner with clients to solve their most complex problems

                                                      +
                                                      +
                                                      +
                                                      +
                                                      +

                                                      +

                                                      Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

                                                      +
                                                      +
                                                      +
                                                      +

                                                      What will your typical day look like?

                                                      +

                                                      +
                                                      +

                                                      You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

                                                      +

                                                      +

                                                      Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

                                                      +
                                                      +
                                                      +
                                                      +
                                                      +

                                                      About the team

                                                      +

                                                      +

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      +
                                                      +
                                                      +
                                                      +

                                                      Enough about us, let’s talk about you

                                                      +

                                                      +
                                                      +

                                                      What you will bring

                                                      +

                                                      +
                                                      • 2+ years in an infrastructure and/or DevOps role
                                                      • BS or MS in computer science, or equivalent
                                                      • +Strong working knowledge of Kubernetes – installation, maintenance and operational
                                                        • Hosted Kubernetes on AWS, Azure or GCP
                                                        • Installing and maintaining on-premise Kubernetes infrastructure
                                                      • Coding experience in one of Python, JavaScript or Java
                                                      • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
                                                      • Strong experience of automating manual steps to ensure continuous and repeatable processes
                                                      • Proven record of following continuous integration and delivery best practices
                                                      • Expertise in GIT and Jenkins pipelines
                                                      • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
                                                      • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
                                                      • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
                                                      • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
                                                      • Understanding of cloud computing and on-premise security principles and best practices
                                                      • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
                                                      -

                                                      Benefits

                                                      +
                                                      +
                                                      +
                                                      +

                                                      Why Deloitte?

                                                      +

                                                      Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                      +
                                                      • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                      • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                      • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                      • +
                                                      +


                                                      The next step is yours

                                                      +

                                                      Sound like The One Firm. For You?

                                                      +

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      +

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-06-08T21:56:43.041Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/64894579-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-05-29T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +139e0b2f-bfdf-4b87-8ec3-17391331ff13,65099067,Manulife,Data Scientist,on_site,"Toronto, ON CA",2021-05-30T19:50:13.402Z,"

                                                      Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                      +

                                                      +

                                                      Job Description

                                                      +

                                                      Calling on a Data Scientist who can seamlessly combine tech know-how with business acumen to go from a promising ML experiment to a shipped product, with real-world impact.

                                                      +

                                                      +

                                                      You will join the Canadian Advanced Analytics team delivering decision support and insight to our Insurance Sales team. You will have dual reporting into Advanced Analytics and the sales organization to ensure that you are plugged into the data science community while staying close to our business needs. You will develop and implement analytics enabled solutions to improve business process, generate insights, support business goals, strategy development, and measure the impact of this work.

                                                      +

                                                      +

                                                      You must have technical skills in both data and software development. There are 3 core skills we are looking for:

                                                        -
                                                      • Entrepreneurial and inclusive culture
                                                      • -
                                                      • Excellent health coverage
                                                      • -
                                                      • Four weeks paid vacation
                                                      • -
                                                      • Catered lunches twice a week over machine learning talks
                                                      • -
                                                      ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-02-24T18:13:00.000Z,False,0,0,19,https://talenthub.vectorinstitute.ai/jobs/25225492-sr-full-stack-engineer-at-layer-6,,expired,2019-11-28T12:00:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -bb8aff17-c633-4f99-a86e-637f999dc9d1,25408945,Thomson Reuters,Research Scientist - AI and/or Machine Learning,on_site,"Toronto, ON, Canada",2019-11-26T21:50:06.923Z,"

                                                      We are looking for candidates with innovative approaches and the expertise to combine and improve existing technologies into Cognitive Computing products that will help our professional customers find the answers they are looking for. Do you want to be part of a creative smart team working on leading edge problems along side other research scientists and engineers?

                                                      -

                                                      We are looking for a passionate Research Scientist with a consistent record of applied innovation, who is interested in taking Artificial Intelligence technologies to the next level. We are looking for a creative individual who can understand complex business problems, and who can develop scalable algorithms and prototypes to demonstrate the art of possible.

                                                      -

                                                      Applicants should have significant experience in one or more of the following areas: Natural Language Processing, Machine Learning, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, and/or Discourse Modeling.

                                                      +
                                                    • Solid foundation in Data science techniques and concepts

                                                    • +
                                                    • In-depth coding knowledge of in Python and structured data (SQL)

                                                    • +
                                                    • Able to communicate insights that the business can interpret and execute on and drive adoption.

                                                    • +

                                                    -

                                                    -KeyResponsibilities: -

                                                    +

                                                    A true greenfield opportunity, you will join the team as we embark on cloud native architecture.

                                                    +

                                                    +

                                                    Key Accountabilities

                                                      -
                                                    • Design, implement and validate algorithms at scale to solve challenging real world problems
                                                    • -
                                                    • Collaborate with technologists and business partners to drive innovation from conception to production
                                                    • +
                                                    • Build end-to-end machine learning solutions to solve complex customer problems

                                                    • +
                                                    • Working in collaboration with Canadian Insurance Sales business to plan, scope, implement and sustain predictive analytics solutions

                                                    • +
                                                    • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                    • +
                                                    • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model.

                                                    • +
                                                    • Make business recommendations with effective presentations of findings at multiple levels of stakeholders including division heads.

                                                    • +
                                                    +
                                                      +
                                                    • Develop measurements and feedback systems

                                                    • +
                                                    • Mentor associates and peers on Data Science best practices

                                                    -

                                                    -QualificationsandExperience:

                                                    +

                                                    Key Experiences:

                                                      -
                                                    • PhD in Computer Science, or related field preferred, or Master’s degree with 2+ years of relevant industry experience; Senior or Lead positions will be considered commensurate with additional experience.
                                                    • -
                                                    • Proficient programming skills in a high-level language (e.g. Java, Scala, Python, C/C++, Perl, Matlab, R)
                                                    • -
                                                    • Experience with statistical data analysis, experimental design, and hypotheses validation
                                                    • -
                                                    • Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods
                                                    • -
                                                    • Project-based experience with some of the following tools:
                                                    • -
                                                    • Applied machine learning (e.g. libSVM, Shogun, Scikit-learn or similar)
                                                    • -
                                                    • Natural Language Processing (e.g., ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, NLTK, or similar)
                                                    • -
                                                    • Statistical data analysis and experimental design (e.g., using R, Matlab, iPython, etc.)
                                                    • -
                                                    • Information retrieval and search engines, e.g. Solr/Lucene
                                                    • -
                                                    • Distributed computing platforms, such as Hadoop (Hive, HBase, Pig), Spark, GraphLab
                                                    • -
                                                    • Databases (traditional and noSQL)
                                                    • -
                                                    • Must be a self-motivated, lifelong learner, who is passionate about turning new ideas into solutions for our customers
                                                    • -
                                                    • Results-driven focus with the ability to prioritize deliverables that have the most significant, measurable impact
                                                    • -
                                                    • Excellent oral and written communication skills
                                                    • +
                                                    • 2+ years working experience in developing and implementing data science techniques (predictive, prescriptive with proficiency in Python

                                                    • +
                                                    • Advanced working SQL knowledge and experience working with relational databases and SQL

                                                    • +
                                                    • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                    • +
                                                    • Working knowledge of Salesforce will be an asset

                                                    • +
                                                    • Minimum 1 year of experience in basic software development practices (git, code scan, modular code development) the last 2 years

                                                    • +
                                                    • Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML will be an asset.

                                                    • +
                                                    • Experience with deep learning methodologies either in practice or in academia

                                                    • +
                                                    • Effective and concise oral and written storytelling and insights communication skills

                                                    • +
                                                    • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                    • +
                                                    • Ability to document work and effectively prioritize documentation

                                                    • +
                                                    • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                    -

                                                    At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                                    -

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    -

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -


                                                    Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                                    To learn more about what we offer, please visit thomsonreuters.com/careers.

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Research-Scientist---AI-and-or-Machine-Learning_JREQ126766,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-04-30T21:50:00.000Z,False,0,11,109,https://talenthub.vectorinstitute.ai/jobs/25408945-research-scientist-ai-and-or-machine-learning-at-thomson-reuters,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,PhD,New Posting, -c1c53803-c962-49ee-9009-f72fa38b63b7,25737391,Vector Institute,"Academic Partnerships Intern (Part-time, Contract)",on_site,"Toronto, ON, Canada",2019-11-29T17:47:57.961Z,"

                                                    About the Vector Institute:

                                                    -

                                                    A thriving, independent not-for-profit, the Vector Institute strives to advance the Artificial Intelligence ecosystem in Ontario, developing and attracting the world’s best machine learning and deep learning experts, and creating an unrivalled convergence of research, investment, entrepreneurialism, and economic growth. Located in the MaRS Discovery District in downtown Toronto, we are part of a dynamic and vibrant community of research, academia, health science and commerce.

                                                    -

                                                    Position Summary:

                                                    -

                                                    In this part-time, contract role (up to 20 hours per week), you will support the Academic Partnerships Team with several initiatives aimed at strengthening the AI ecosystem in Ontario, including contributing to the Vector Digital Talent Hub, helping to coordinate the adjudication of the Vector Scholarship in Artificial Intelligence program, and supporting Vector’s alumni engagement strategy.

                                                    -

                                                    Key Responsibilities:

                                                    -

                                                    The Vector Digital Talent Hub

                                                    +

                                                    Nice to have

                                                    +
                                                    • Past experience in distributor-based sales for life insurance /wealth management products, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                    +

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of December 31, 2020, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/1125374/DataScientist,feed-importer@jobboard.io,,,,2021-06-30T15:42:38.312Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/65099067-data-scientist-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1125374/DataScientist,expired,2021-05-30T19:50:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f0fdb740-822e-431e-a757-46d0546287cd,65255487,Unity Health Toronto,Senior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-05-31T10:59:00.164Z,"

                                                    The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on vision learning applications in healthcare (data science, machine learning, and medical imaging with an emphasis on CT scans).

                                                    +

                                                    DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                                    +

                                                    The main roles of a Data Scientist (called a Senior Data Science Specialist at St. Michael’s Hospital) are to design scientifically rigorous approaches to examining data, apply advanced analytical techniques to healthcare data, and translate the findings into meaningful, applied knowledge for end users. This includes conceptualizing algorithms and study designs, creating statistical analysis plans, conducting and interpreting analyses, and reporting findings in an applied manner. The Data Scientist role is a service-based role, rather than a traditional academic research role. However, depending on the interests of the individual, some level of academic engagement can be explored. Each Data Scientist at the DSAA has an area of specialization, such as machine learning, simulation modeling, biostatistics and financial analytics. The area of specialization for this Data Scientist position is vision learning with a focus on machine learning.

                                                    +

                                                    MAIN DUTIES & RESPONSIBILITIES:

                                                      -
                                                    • Develop and populate standard web form templates;
                                                    • -
                                                    • Monitor external partner career pages for relevant job postings, and share these to the Digital Talent Hub accordingly;
                                                    • -
                                                    • In partnership with the Office Services Team, verify the Vector affiliation of job seekers who have created profiles within the Digital Talent Hub;
                                                    • -
                                                    • Implement design improvements for the Digital Talent Hub; and
                                                    • -
                                                    • Assist with the automation of data collection and job board scraping.
                                                    • +
                                                    • Develop research study plans outlining key components of analytical approaches. Provide on-demand consultative data science expertise for ad-hoc requests and recommend data science approaches to meet client needs
                                                    • +
                                                    • Work closely with potential clients to establish coding techniques, structure of dataset for studies and develop sound analytical plans
                                                    • +
                                                    • Conduct analyses using machine learning approaches such as support vector machines, dimensionality reduction, image classification, segmentation, object detection, representation learning, and various neural network architectures.
                                                    • +
                                                    • Ensure adequate quality control by setting standards, monitor results and institute appropriate steps for data cleaning, consistency checks and other data quality control measures prior to analysis
                                                    • +
                                                    • Carry out all computer programming required to execute analyses and develop efficient standardized programs, algorithms, or systems to enhance efficiency
                                                    • +
                                                    • Maintain data documentation, physical and logical storage of scripts, records and master archive lists
                                                    • +
                                                    • Critically appraise/edit code of trainees, students etc.
                                                    • +
                                                    • Integrate with the other Data Scientists at the DSAA to develop multi-disciplinary analytic approaches, and assist in best practices and process development
                                                    • +
                                                    • Work closely with data engineering and product development teams to deliver production level tools used in healthcare settings
                                                    • +
                                                    • Analyze/interpret results of research studies – draw conclusions for review and incorporation into reports/presentations
                                                    • +
                                                    • Prepare output of analyses for review including graphs, tables, and interpretation
                                                    • +
                                                    • Ensure accuracy of all analyses and appropriate interpretation in study reports
                                                    • +
                                                    • Collaborate with clients, students and other Data Scientists on academic presentations and co-authorship of publications
                                                    -

                                                    Vector Scholarship in Artificial Intelligence Program

                                                    +

                                                    QUALIFICATIONS

                                                      -
                                                    • Assist in administrative tasks such as sorting Vector Scholarship in Artificial Intelligence application submissions, collating application materials etc.;
                                                    • -
                                                    • Support adjudication of applicants; and
                                                    • -
                                                    • Provide general administrative event support as required.
                                                    • +
                                                    • A Master's degree in quantitative, informatics, or medical imaging fields (e.g., Computer Science, Medical Imaging, Data Science, or related discipline) is strongly preferred
                                                    • +
                                                    • A PhD degree in quantitative, informatics, or medical imaging fields (e.g., Computer Science, Medical Imaging, Data Science, or related discipline) is highly desirable
                                                    • +
                                                    • Experience with and focus on machine learning, computer vision, and medical imaging is strongly preferred
                                                    • +
                                                    • Experience working with large health datasets is preferred
                                                    • +
                                                    • Experience with containerization (e.g., Docker, kubernetes) is an asset
                                                    • +
                                                    • Mastery of python (including pytorch, scikit-learn, and scikit-image), opencv, and tensor flow is an asset. Experience with the same tools and frameworks in R is also an asset.
                                                    • +
                                                    • Demonstrated mastery of machine learning methods with a focus on computer vision and also has an ability to develop and code algorithms over and beyond the standard ML tools and libraries
                                                    • +
                                                    • Deep mathematical understanding and experience with machine learning approaches such as artificial neural networks, Bayesian networks, discriminative and generative classifiers, representation learning, and convolutional neural networks
                                                    • +
                                                    • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website).
                                                    • +
                                                    ",,https://www.recruitingsite.com/csbsites/unityhealth/JobDescription.asp?lang=en&JobNumber=877223,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-06-18T14:30:00.000Z,False,0,7,79,https://talenthub.vectorinstitute.ai/jobs/65255487-senior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-05-31T10:59:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, +fd67c439-6da4-4f3f-adb3-daa6a8331ed7,65347171,CN,Specialist DataOps,on_site,"Toronto, ON, Canada",2021-05-31T20:27:41.942Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    +

                                                    Job Summary

                                                    +

                                                    The role of Specialist DataOps is to contribute to the whole solution by analyzing functional specifications to identify the best technical design (blueprint). The Specialist work with other DataOps Specialist, Data Scientists and Data Engineers across the company to accelerate the deployment and monitoring of models at scale.

                                                    +

                                                    The specialist also takes full responsibility of assigned deliverables, aligns own workload and focuses on key tasks in order to deliver as per service commitment, leveraging own expertise and skill set to achieve delivery goals. Depending on the assignment, the role may apply in either a Project, Enhancement or Support environment.

                                                    +

                                                    Main Responsibilities

                                                    +

                                                    Deliver – 25%

                                                    +
                                                      +
                                                    • Implement best practices for ML model deployment and monitoring
                                                    • +
                                                    • Research and implement MLOPS tools, framework for Data Science and AI projects
                                                    • +
                                                    • Raise MLOPS maturity in the organization
                                                    • +
                                                    • Provide support to Data Scientist and Data Eng. from model design to deployment
                                                    • +
                                                    • Design and implement pipelines for continuous training, deployment and model monitoring in production
                                                    • +
                                                    • Design and improve end-to-end machine learning workflows that spans feature extraction, training, hyperparameter tuning and serving of production ML/AI models.
                                                    • +
                                                    • Collaborate with Data Scientist, Data Engineers and DataOps Specialists to improve automation, reproducibility, consistency and reduce friction of ML experimentation and improve testing and deployment strategies for ML/AI models
                                                    -

                                                    Alumni Engagement Strategy

                                                    +

                                                    Technical Expertise – 25%

                                                      -
                                                    • Help track graduate outcomes (e.g., career paths, continuing education) of Vector alumni through a variety of available channels such as email outreach, LinkedIn, Google Scholar, etc.; and
                                                    • -
                                                    • Organize and streamline alumni data across multiple platforms.
                                                    • +
                                                    • Excellent understanding of Data Science concepts with hands-on experience in ML model deployment in Azure and/or other cloud platform
                                                    • +
                                                    • Good knowledge of predictive, prescriptive, preventive and real-time model design, univariate and multivariate algorithms. Computer vision, Deep Learning, Ensemble model.
                                                    • +
                                                    • Create, review and maintain technical documentations.
                                                    • +
                                                    • Experience in implementing and deploying CI/CD pipelines using Azure pipelines.
                                                    • +
                                                    • Proficiency with Azure Cloud, Databricks, MLFlow and Azure ML.
                                                    • +
                                                    • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms
                                                    -

                                                    Other

                                                    -
                                                    • Other related duties as assigned.
                                                    -

                                                    Success Measures:

                                                    +

                                                    Architecture – 25%

                                                      -
                                                    • Contributes to the enhancement of the Vector Digital Talent Hub, including improved back end operations, and a seamless user experience;
                                                    • -
                                                    • Coordination of the Vector Scholarship in Artificial Intelligence program is smooth and efficient; and
                                                    • -
                                                    • An alumni database is initiated, and data is collected and organized in such a way that it will generate insights on employment trends in AI in Ontario.
                                                    • +
                                                    • Contribute in developing the design and coding standards that will apply to the whole practice
                                                    • +
                                                    • Document blueprint based on requirements & functional designs
                                                    • +
                                                    • Participate in architectural discussions to ensure solutions are designed for successful deployment.
                                                    • +
                                                    • Involved in gathering, understanding and validating project specifications and participate in architecture design reviews
                                                    -

                                                    Profile of the Ideal Candidate:

                                                    -

                                                    The ideal candidate for the position is a student at a post-secondary institution with a strong eye for design coupled with excellent data mining and organizational skills.

                                                    +

                                                    Quality Controls – 25%

                                                      -
                                                    • You have some front-end design experience, and are proficient in HTML, CSS and XML;
                                                    • -
                                                    • You are comfortable working with Adobe Acrobat and Illustrator;
                                                    • -
                                                    • You are highly skilled in Excel and can generate and run pivot tables, macros etc.;
                                                    • -
                                                    • You have strong data cleaning and mining skills, with a high attention to detail and understanding of how to turn raw data into actionable insights;
                                                    • -
                                                    • You are organized, efficient and a strong communicator; and
                                                    • -
                                                    • Familiarity with GSuite applications and Word Press would be an asset.
                                                    • +
                                                    • Ensure Quality KPI are identified, measured and produced ensuring respect of development and deployment standards. Ensure right level of testing is consistent across all projects.
                                                    • +
                                                    • Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work.
                                                    • +
                                                    • Perform reviews and quality checks after data has been loaded and model has been deployed.
                                                    • +
                                                    • Educate/mentor data scientists and teams on MLOPS best practices.
                                                    -

                                                    Employment Type: Part-time, Contract (January – April)

                                                    -

                                                    Please submit all materials using the link provided, addressed to Kendra Beliveau, HR Coordinator. The deadline for submitting applications is December 8, 2019. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                    -

                                                    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                    -

                                                    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact Kailyn Burke at kailyn.burke@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=63,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2019-12-16T15:03:00.000Z,False,0,4,54,https://talenthub.vectorinstitute.ai/jobs/25737391-academic-partnerships-intern-part-time-contract-at-vector-institute,,expired,2019-11-28T12:00:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Internship/Co-op,No Degree,New Posting, -542e0951-6e12-4557-aa44-2326d69c81ee,25737621,McMaster University,Postdoctoral Fellowship in Cognitive Neuroscience,on_site,"Hamilton, ON, Canada",2019-11-29T19:01:40.055Z,"

                                                    The Performance Science Laboratory at McMaster University invites applications for a Postdoctoral Fellowship in Cognitive Neuroscience, with a focus on Artificial Intelligence and the study of synthetic consciousness. This is a one (1) year fellowship that shall commence on or after January 1st, 2020. There

                                                    -

                                                    is a possibility of extension for a further one (1) year.

                                                    -

                                                    Applicants should have (or expect to receive in the near future) a PhD in neuroscience, cognitive science, computer science, engineering or a relevant discipline, a strong analytical background and direct experience using deep learning methodologies in supervised learning, unsupervised learning and generative modelling. Extensive experience with reinforcement learning, Python, Keras and Tensorflow is required. Previous experience with natural language processing (NLP), and an interest in robotics is highly desirable. The successful applicant should have enthusiasm, and a clear, demonstrable capacity, for developing further expertise in these areas.

                                                    -

                                                    The successful candidate will primarily be working on an industry-sponsored interdisciplinary project seeking to understand consciousness using generative modelling techniques and theories that span the arts, sciences, social sciences and health disciplines. The candidate will also have some responsibilities providing support for a couple of other research projects, and is expected to be actively involved in the daily life of the research group and to collaborate in developing research ideas and new techniques. The job requires all aspects of study design, implementation, data generation / collection, data analysis as well as assisting in the supervision of junior lab members, presenting at conferences and writing a variety of documents including manuscripts, chapters and grants.

                                                    -

                                                    There may also be opportunities to conduct research in McMaster University’s LIVELab (http://livelab.mcmaster.ca).

                                                    -

                                                    This Postdoctoral Fellowship carries a full-time salary of $55,000 per annum, which includes opportunities to teach one undergraduate and/or graduate class each year. In addition, the incumbent will be provided up to $2,500 per year to cover research expenses. These may include, for example, computer hardware and software, technical books and journals and travel to conferences.

                                                    -

                                                    How To Apply:

                                                    -

                                                    A complete application consists of the following items, sent by email to info@skillslab.ca

                                                    +

                                                    Organizational Impact

                                                    +

                                                    Decision Making & Impacts

                                                      -
                                                    • a cover letter;
                                                    • -
                                                    • a current Curriculum Vitae (including a list of publications);
                                                    • -
                                                    • a statement of current and prospective research interests;
                                                    • -
                                                    • three confidential letters of reference which can be sent directly to Dr. Sonnadara
                                                    • +
                                                    • Decide on development standards and develop technical blueprint & design
                                                    • +
                                                    • Direct impact on the quality of the applications, solutions and part of the code delivered
                                                    • +
                                                    • Direct impact on product delivery schedule based on adherence to estimates and duration committed
                                                    -

                                                    Informal inquiries may be directed to Dr. Ranil Sonnadara (ranil@mcmaster.ca) or Dr. David Harris Smith

                                                    -

                                                    (dhsmith@mcmaster.ca)

                                                    -

                                                    Employment Equity Statement

                                                    -

                                                    All qualified candidates are encouraged to apply; however, Canadian citizens and Permanent Residents of Canada will be considered first for this position. McMaster University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The university encourages applications from all qualified candidates, including women, persons with disabilities, First Nations, Metis and Inuit persons, members of racialized communities and LGBTQ-identified persons. If you require any form of accommodation throughout the recruitment and selection process, please contact the Human Resources Service Centre at 905-525-9140, ext. 22247.

                                                    ",,http://livelab.mcmaster.ca/,aimasters@vectorinstitute.ai,https://www.mcmaster.ca/,,,2020-01-20T19:01:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/25737621-postdoctoral-fellowship-in-cognitive-neuroscience-at-mcmaster-university,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, -61aa0d38-2851-4ca0-b4ee-2ff0a85f4dc3,25956996,TD Bank Group,SR Business Insights Analyst,on_site,"Toronto, ON, Canada",2019-12-02T14:18:09.445Z,"

                                                    Company Overview

                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -

                                                    -

                                                    Department Overview

                                                    -

                                                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                    -

                                                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    The Senior Business Insights Analyst will report to the Manager, Planning Analytics, and will be responsible for conducting in-depth analyses on personal banking portfolio/product level profitability and business drivers, identifying trends in customer behavior, and providing analyses to executives. The Senior Business Insights Analyst will also assist in the annual business planning / quarterly forecasting process, supporting the TDCT, Aeroplan and MBNA credit cards portfolios.

                                                    -

                                                    Accountabilities will include:

                                                    +

                                                    Level of Interaction/Influence

                                                      -
                                                    • Providing regular and ad-hoc analyses and presentations to different levels of audience, including senior executives
                                                    • -
                                                    • Building and maintaining models incorporating business actions and external impacts to explain and forecast time-series data
                                                    • -
                                                    • Building and maintaining effective relationships with internal and external partners
                                                    • -
                                                    • Developing deep understanding of business drivers, proactively identifying issues, risks and opportunities
                                                    • -
                                                    • Developing and producing monthly business performance reports, highlighting emerging trends and performance against strategic objectives
                                                    • +
                                                    • External: N/A
                                                    • +
                                                    • Internal: Work closely with Development Architects, Development Practice Leads and Data scientists. Interact with project teams (functional, development and test leads, project managers).
                                                    -

                                                    -

                                                    Requirements

                                                    +

                                                    Experience

                                                      -
                                                    • Strong critical thinking skills, business acumen, and ability to generate insights from data
                                                    • -
                                                    • Strong communication skills including building and delivering presentations for non-technical audiences
                                                    • -
                                                    • Strong modelling skills, particularly time-series
                                                    • -
                                                    • Strong Excel and PowerPoint skills
                                                    • -
                                                    • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                                                    • -
                                                    • Programming skills including SQL, Python, or R
                                                    • -
                                                    • General understanding of machine learning
                                                    • -
                                                    • General understanding of finance and accounting principles
                                                    • -
                                                    • Econometrics skills would be an asset
                                                    • +
                                                    • Minimum 7-10 years overall work experience
                                                    • +
                                                    • 5+ years experience of relevant technical expertise
                                                    -

                                                    -

                                                    Hours

                                                    -

                                                    37.5

                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    ",,https://jobs.td.com/en-CA/jobs/10459734/sr-business-insights-analyst-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2019-12-16T15:06:00.000Z,False,0,6,22,https://talenthub.vectorinstitute.ai/jobs/25956996-sr-business-insights-analyst-at-td-bank-group,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bfd60a49-252d-4406-9ad8-6d6a4601ce83,25957009,Western University,Postdoctoral Fellowship in Computational/Theoretical Neuroscience ,on_site,"London, ON, Canada",2019-12-02T14:28:27.071Z,"

                                                    Fields Institute Postdoctoral Fellowship in Computational/Theoretical Neuroscience

                                                    -

                                                    -

                                                    Applications are invited for a Fields Institute Postdoctoral Fellowship in the lab of Lyle Muller at the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario). In collaboration with Laurent Perrinet (INT Marseille), this research will focus on computation with spatiotemporal dynamics in neural networks. The project will use spiking neural networks and machine learning models to understand the role of spatiotemporal dynamics in active vision. Interested candidates can refer to Muller et al., Nature Reviews Neuroscience 19, 2018 for further details.

                                                    -

                                                    This work will utilize a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and low-level programming (C/C++) is preferred. Prior experience with computational modeling, dynamical systems, and random graph theory is also preferred. Western University offers an excellent research environment and support. Candidates can apply to this postings with a CV to arrange an interview.

                                                    -

                                                    Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write the PI (lmuller2@uwo.ca) directly with questions about the research environment.

                                                    -

                                                    Check out the Muller Lab's website for further information http://mullerlab.ca and feel free to check out other open positions at this link: https://mullerlab.ca/positions.html.

                                                    -

                                                    -

                                                    ",lmuller2@uwo.ca,,aimasters@vectorinstitute.ai,https://www.uwo.ca/,,,2020-01-20T14:28:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/25957009-postdoctoral-fellowship-in-computational-theoretical-neuroscience-at-western-university,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Education,Fellowship,PhD,New Posting, -679ff3cf-fbdf-478a-9421-bd197053131b,79419624,Borealis AI,Machine Learning Researcher,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-08-27T00:34:06.456Z,"
                                                    -

                                                    What's the opportunity?

                                                    -

                                                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                    -

                                                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                    -
                                                    -
                                                    -

                                                    Your responsibilities include:

                                                    -
                                                      -
                                                    • Developing novel AI solutions that facilitate impactful products;
                                                    • -
                                                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                    • -
                                                    • Working with the development team to transfer research work into production;
                                                    • -
                                                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                    • -
                                                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                    • -
                                                    -
                                                    -
                                                    -

                                                    You’re our ideal candidate if you have:

                                                    -
                                                      -
                                                    • A passion for solving open problems using data and algorithms;
                                                    • -
                                                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                    • -
                                                    • Ability to formulate and drive a research project independently without close supervision;
                                                    • -
                                                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                    • -
                                                    -
                                                    -
                                                    -

                                                    What’s in it for you?

                                                    -
                                                    +

                                                    Assets

                                                      -
                                                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                    • -
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                    • -
                                                    • Leaders who support your development through coaching and managing opportunities;
                                                    • -
                                                    • Ability to make a difference and lasting impact from a local-to-global scale.
                                                    • +
                                                    • Azure /DevOps Certification, DataBricks Certification
                                                    • +
                                                    • Knowledge of Hadoop ecosystem (Hive, Spark, HDFS, NiFi)
                                                    -

                                                    -
                                                    About Borealis AI

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.


                                                    Inclusion and Equal Opportunity Employment

                                                    -

                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                    -
                                                    ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-09-26T15:52:03.668Z,False,5,0,111,https://talenthub.vectorinstitute.ai/jobs/79419624-machine-learning-researcher-at-borealis-ai,,expired,2021-08-27T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,PhD,New Posting, -4daade58-2f4a-4ad5-b616-8adeb451ff30,80295745,TD Bank Group,Data & Analytics Associate Program DS&AA (Undergraduate),on_site,"Toronto, ON",2021-08-30T17:47:18.624Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                    -

                                                    TD’s Colleague Promise: A better you. A better us.

                                                    -

                                                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                    -

                                                    Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                    -

                                                    As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                                    +

                                                    Education/Certification/Designation

                                                    +
                                                    • Bachelor’s degree in computer science or equivalent degree or work experience
                                                    +

                                                    Functional competencies/Soft Skills

                                                      -
                                                    • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                                    • -
                                                    • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                                    • -
                                                    • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                                    • -
                                                    • Build production-scale solutions and work with deployment teams to integrate in business operations
                                                    • -
                                                    • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                                    • +
                                                    • Strong communication skills, including the ability to speak clearly to technical and nontechnical people.
                                                    • +
                                                    • Self-driven, highly motivated, team player and able to learn quickly
                                                    • +
                                                    • Ability to learn quickly and to adapt to fast-paced environment
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                      -
                                                    • Must be graduated between May 2020 and May 2022 with an Undergraduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                                    • -
                                                    • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                                    • -
                                                    • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                                    • -
                                                    • -Experienced in one or more of:
                                                        -
                                                      • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                                      • -
                                                      • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                                      • +

                                                        Technical skills/ Knowledge

                                                        +
                                                          +
                                                        • Proficiency with ML Algorithms, Model deployment and drift detection.
                                                        • +
                                                        • Awareness of Agile principles (SAFE), automation
                                                        • +
                                                        • Experience with Azure (DataLake, DataFactory, DataBricks, Azure ML)
                                                        • +
                                                        • Knowledge of Big Data analytics technologies in a Cloud environment
                                                        • +
                                                        • Azure DevOps, Git, Python, PowerShell, Terraform, Azure ARM templates
                                                        • +
                                                        • Strong knowledge of Azure, SaaS, IaaS & PaaS Services.
                                                        • +
                                                        • Experience with AKS, Cognitive Services, MLOps, Data Factory
                                                        - -
                                                      • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                                      • -
                                                      • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                                      • -
                                                      • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                                      • -
                                                      • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                                      • -
                                                      • Remain current with emerging trends and technologies in Data Science
                                                      • -
                                                    -

                                                    -

                                                    Additional Information

                                                    -
                                                      -
                                                    • Application Deadline: September 12th, 2021
                                                    • -
                                                    • Anticipated Start Date: January 4th, 2022 OR July 4th, 2022 (pending academic completion)
                                                    • -
                                                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                    • -
                                                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                    • -
                                                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                    • -
                                                    • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                    • -
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    +

                                                    About CN

                                                    +

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    -

                                                    Start Date

                                                    -
                                                    – Summer, – Winter

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/13657752/data-analytics-associate-program-ds-aa-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-09-14T07:00:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/80295745-data-analytics-associate-program-ds-aa-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13657752/data-analytics-associate-program-ds-aa-undergraduate-toronto-ca/,expired,2021-08-30T17:47:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -4fc6c34f-12d5-4282-9146-63da06570163,104121924,University of Waterloo," Postdoctoral Positions in Environmental and Ecological Modelling at the University of Waterloo, Canada",on_site,"Waterloo, ON, Canada",2022-01-14T20:57:37.460Z,"

                                                    We are seeking 1-2 postdocs for research in climate modelling and/or ecological modelling, under the co-supervision of Prof. Madhur Anand (Global Ecological Change & Sustainability Laboratory, School of Environmental Sciences, University of Guelph: https://www.uoguelph.ca/~manand/Madhur_Anand/Welcome.html) and Prof. Chris Bauch (Department of Applied Mathematics, University of Waterloo: https://www.math.uwaterloo.ca/~cbauch/index.php).

                                                    -

                                                    Applicants will be working on one or both of the following topics:

                                                    -

                                                    1. Modelling interactions between climate dynamics and social processes, with application to climate policy (e.g. https://doi.org/10.1371/journal.pcbi.1007000, )

                                                    -

                                                    2. Modeling interactions between terrestrial processes and climate dynamics, for use in machine learning approaches to predict climate change tipping points (e.g. https://doi.org/10.1073/pnas.2106140118).

                                                    -

                                                    Possible modelling approaches include differential equation models and agent-based models.

                                                    -

                                                    Applicants should have an outstanding publication record, and strong skills in oral and written communication, literature review and synthesis, team collaboration, and initiative. Applicants must have background training or research experience that is directly relevant to these topics.

                                                    -

                                                    Successful applicants will be appointed in the School of Environmental Sciences, University of Guelph, with the possibility of a visiting researcher appointment at the Department of Applied Mathematics, University of Waterloo. Many collaborative opportunities are available. Please send enquiries with CV to manand@uoguelph.ca and cbauch@uwaterloo.ca to initiate discussions. Enquiries will be reviewed beginning immediately until a suitable candidate is found. Salary is commensurate with experience. Positions are for one year, with the possibility of a second year subject to satisfactory performance.

                                                    ",cbauch@uwaterloo.ca,,aimasters@vectorinstitute.ai,,,,2022-02-13T20:57:39.768Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/104121924-postdoctoral-positions-in-environmental-and-ecological-modelling-at-the-university-of-waterloo-canada-at-university-of-waterloo,,expired,2022-01-14T20:57:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, -1933064f-1426-45bf-b40e-4032b0187cec,108246186,CIBC,"Sr. Manager, AML",on_site,"Ontario, Canada",2022-02-09T10:03:03.620Z,"
                                                    -
                                                    -
                                                    -

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                    -

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    -

                                                    What You’ll Be Doing

                                                    -

                                                    -

                                                    Risk Analytics and Risk Modelling is responsible for the development of analytics to measure and optimize AML and credit risk performance. The AML Analytics team supports the development of AML risk strategy to deliver CIBC\'s client experience, risk management, and business growth objectives. Reporting to the Director, the Senior Manager, AML Analytics is responsible for independently leading and supporting the analytical requests of the AML compliance program and is responsible for the effectiveness of all AML data quality, accuracy and analytics.

                                                    -

                                                    -

                                                    -

                                                    How You’ll Succeed

                                                    -

                                                    +

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6307?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-30T20:27:43.483Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/65347171-specialist-dataops-at-cn,,expired,2021-05-31T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +2b306b68-d643-464c-9446-fdd942d7d0b7,65347928,CN,Data System Analyst - Big Data,temporary,"Montreal, QC, Canada",2021-05-31T20:29:31.053Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    +

                                                    Job Summary

                                                    +

                                                    The role of Analyst Data Analysis is to work with leading-edge technologies such as sensors and control electronics, sophisticated planning and decision support systems, big data infrastructures, advanced analytics, deep learning. This role is responsible for managing master data set, developing reports, and troubleshooting data issues. The role prompts for deep understanding of the data analysis tools and databases. The Analyst Data Analysis brings technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions. The role ensures data integrity and normalization, and oversees and designs the reporting environment, including data sources, security, and metadata.

                                                    +

                                                    Main Responsibilities

                                                    +

                                                    Definition & Delivery of Specific Interim Analytical Data Lakes

                                                      -
                                                    • -Quantitative Analytics Lead the quantitative analytical work based on model risks, business needs and regulatory requirements while fostering a continuous improvement culture. Demonstrate considerable knowledge and analytic capabilities through the development of quantitative data analysis and data mining solutions, emphasizing the development of database driven reports and analyses. Maintain a high level of competency in statistical and analytical principles, tools and techniques. Assesses data quality and potential impacts. -
                                                    • -
                                                    • -Technical / Data Modelling Skills Develop rules and models that continuously improve the effectiveness of the AML transaction monitoring systems and AML Sanction screening systems. Have the ability to translate business requirements to technical specifications for technology to implement, also have the ability to review and assess technology systems relative to business requirements. You have proven experience in the management of complex technology systems and testing and implementing changes to technological systems. You will also be required to support/participate in data quality efforts and the expansion of transaction monitoring coverage to new product types. -
                                                    • +
                                                    • Design, develop curated data assets to be consumable from a data lake, to support operational reporting, data science and self analytics
                                                    • +
                                                    • Data design must be ensure the integrity of all data accuracy
                                                    • +
                                                    • Participate in the selected delivery of specific data elements to the interim sites respecting data ownership, sharing and security arrangements, and data confidentiality agreements under senior guidance
                                                    • +
                                                    • Participate in (and eventually proposing) simplification initiatives to allow for more effective data management to change the conversation from tactical to strategic which is insight and action orientated focused
                                                    • +
                                                    • Defines the requirements for the data pipelines that will enable faster, better, data-informed decision-making within the business
                                                    • +
                                                    • Leads innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for platforms
                                                    • +
                                                    • Analyzing proposed application/system changes and making recommendations for approval
                                                    • +
                                                    • Designing and developing requirements for the development of ETL packages from the business source systems
                                                    • +
                                                    • Performs ad-hoc analyses of data stored in the business’s MySQL/MS SQL databases and writes SQL scripts, analyze data
                                                    • +
                                                    • Troubleshoots data issues within the business and across the business and presents solutions to these issues
                                                    • +
                                                    • Must be able to test and apply test process
                                                    -
                                                    • -Communication & Collaboration Manage relationships with technology partners and external vendors to ensure the systems supporting the program are operating effectively and efficiently. You have the ability to coordinate efforts within compliance teams as well as across multiple business units and possess excellent communication and interpersonal skills with the ability to interact with all levels of the organization -
                                                    -

                                                    -

                                                    Who You Are

                                                    +

                                                    Participate in the Delivery and Support ad-hoc Data Quality and Dara Consolidation Initiatives (Business Case)

                                                      -
                                                    • -You can demonstrate minimum 7 years’ experience in in analytics or technical fields, ideally in a financial services industry, or regulatory agency or law firm involving compliance issues. SQL programming and conducting data mining, query performance and tuning. You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling. -
                                                    • -
                                                    • -You ideally have strong knowledge of: AML regulations, OFAC laws, practices and economic sanctions, which may be enhanced via accreditation by ACAMS (Association of Certified Anti-Money Laundering Specialists), or similar certification, or become certified within first year of employment. It’s an asset if you have working knowledge of Customer Due Diligence and Transaction Monitoring modules and anti-fraud or compliance systems. -
                                                    • -
                                                    • -You have a degree/diploma in M.S. degree or above with emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields -
                                                    • +
                                                    • Preparation of Daily Reporting for the Executive, Customer, and Client user levels ensuring numbers are correct and working with communication to appropriate parties if issues arise
                                                    • +
                                                    • Propose simplification initiatives to allow for more effective data design, and management
                                                    • +
                                                    • Excellent presentation skills required, design must be presented to the Design Review Board (DRB)
                                                    +

                                                    Illustrate and Support a Variety of Optimized Analytics Delivery Capabilities

                                                      -
                                                    • -You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                                    • -
                                                    • -You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what\'s possible.
                                                    • -
                                                    • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                    • -
                                                    • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                    • -
                                                    • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability. +
                                                    • Development of visualization analytics using tools, ie Power BI, or Tableau in desktop and apps to deliver simplified analytics to support insight development
                                                    • +
                                                    • Provide analytical support by creating and sharing regular and ad hoc reports as required
                                                    • +
                                                    +

                                                    Working Conditions

                                                    +
                                                    • This role may require occasional business travel in accordance with CN policy for meetings
                                                    +

                                                    Requirements

                                                    +

                                                    Experience

                                                    +
                                                      +
                                                    • Minimum 3-5 years overall work experience
                                                    • +
                                                    • Between 1 and 3 years of experience in Analytics and Data Science
                                                    • +
                                                    +

                                                    Education/Certification/Designation

                                                    +
                                                    • Bachelor’s degree specializing in Mathematics and Statistics / Computer Science / Business Analytics / or other quantitative field, related degree or equivalent experience
                                                    +

                                                    General Skills and Competencies

                                                    +
                                                      +
                                                    • Expert ability to identify data requirements, gaps and assess end-to-end data requirements
                                                    • +
                                                    • Excellent Communication skills to build alliances and gain consensus with key stakeholders to promote Test Data Management best practices
                                                    • +
                                                    +

                                                    Technical Skills/Knowledge

                                                    +
                                                      +
                                                    • Data Warehouse/Business Intelligence or relevant data environment; in either a development or a support role
                                                    • +
                                                    • Experience in Data Design, Data Analytics or Data Science
                                                    • +
                                                    • Exposure to Data modeling experience, and data architecture best practices
                                                    • +
                                                    • Experience with relational database modeling techniques
                                                    • +
                                                    • Experience with dimensional modeling techniques
                                                    • +
                                                    • Experience coding with R programming language or SAS (Statistical Analysis System). Data science “R” programming language is generally preferred.
                                                    • +
                                                    • Expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities
                                                      • Advising staff and users on database design practices
                                                    • +
                                                    • Experience using Azure, Datalake, Hadoop, SQL, Data Bricks
                                                    • +
                                                    • Nice to have experience with unstructured data, withe background with using data from of social media, video feeds or audio.
                                                    • +
                                                    • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group
                                                    • +
                                                    • Experience in real time data streaming and loading
                                                    • +
                                                    • Experience in domain driven model
                                                    • +
                                                    • Data profiling, data extraction and breaking down data to a domain driven model
                                                    • +
                                                    • Advance SQL skills to enhance the performance tuning of the extraction process
                                                    • +
                                                    • Ability to create strategies for loading, purging and retaining data
                                                    -

                                                    -

                                                    What you need to know

                                                    +

                                                    Assets

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                    • -
                                                    • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                    • +
                                                    • Tools used ideally Kafka, spark, mulesoft, postgress, graphql, Snowflake, Databricks and spark
                                                    • +
                                                    • Experience working across both business and technology (5+ yrs.)
                                                    • +
                                                    • Written presentation experience; presenting insights in plain language and images (5+ yrs.)
                                                    • +
                                                    • Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem (5+ yrs.)
                                                    • +
                                                    • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group
                                                    • +
                                                    • The ability to learn quickly, problem solve/troubleshoot, work independently and in a team
                                                    • +
                                                    • Exposure to principles of change management, and scrum agile
                                                    • +
                                                    • Experience in leading and participating in business workshops
                                                    • +
                                                    • Ability to promote business intelligence, analytics, and reporting vision
                                                    • +
                                                    • Exposure to delivering commercially beneficial insights and analytics strategies
                                                    • +
                                                    • Exposure to hands-on support to orientate analytics around delivering value back to the business
                                                    • +
                                                    • Willingness to work on multiple projects at one time
                                                    • +
                                                    • Exposure to building analytical and quantitative analysis models (5+ yrs.)
                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Job Location

                                                    Toronto-81 Bay, 29th Floor

                                                    Employment Type

                                                    Regular

                                                    -

                                                    Weekly Hours

                                                    37.5

                                                    Skills

                                                    -

                                                    Advanced Analytics, Predictive Analytics, Risk Analytics, Sanctions Screening, Transaction Monitoring
                                                    -
                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Manager--AML_2133252,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-10T20:57:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/108246186-sr-manager-aml-at-cibc,,expired,2022-02-09T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -83b4b341-c9e0-4328-8e52-5427fe5129a9,105944804,OMERS,Lead Data Scientist,on_site,"Ontario, Canada",2022-01-27T07:19:09.956Z,"
                                                    -
                                                    -
                                                    -

                                                    Why join us?

                                                    -

                                                    -

                                                    Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                    At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                    -

                                                    -

                                                    This is an exciting opportunity to join the stellar Oxford properties team to harness the power of our data to transform the company’s investment process, operational efficiency, and end user experience.

                                                    If you want a front row seat to reshaping the real estate industry, then this is the role for you. We are looking for a strategic mind capable of conceiving the art-of-the-possible, fused with the ability to creatively use data in order to solve sophisticated business problems.

                                                    As a best-in-class real estate organization, Oxford has an ambitious plan to develop and leverage digital & analytic capabilities across the real estate value chain across acquisition, development, operations, and disposition at a global scale.

                                                    Commercial Real Estate is a $200 Trillion industry that is larger than the public equities and bond market combined, and yet is only just being disrupted by technology.

                                                    -

                                                    -

                                                    As a member of this team, you will be responsible for:

                                                    +

                                                    About CN

                                                    +

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    +

                                                    For internal candidates, note that the grade level of the position will depend on the employee's experience.

                                                    +

                                                    +

                                                    +

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6216?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-18T14:30:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/65347928-data-system-analyst-big-data-at-cn,,expired,2021-05-31T20:29:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +d8e4008b-8bf2-4a12-8d84-9b7ce1670b2a,65349185,CN,Specialist - Data Development / Big data,on_site,"Toronto, ON, Canada",2021-05-31T20:32:47.088Z,"

                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                    +

                                                    +

                                                    +

                                                    We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

                                                    +

                                                    +

                                                    +

                                                    RESPONSIBILITIES

                                                      -
                                                    • Being part of the friendly Advanced Analytics team, working across all Oxford business groups to champion a data-driven decision-making culture
                                                    • -
                                                    • Using your business acumen and technical expertise to identify new opportunities to use data in order to meet key business objectives
                                                    • -
                                                    • Cultivating positive relationships amongst business partners and cross-functional delivery teams from conceptualization and experimentation to production and oversight
                                                    • -
                                                    • Delivering analytics and machine learning (ML) projects driving a number of key business outcomes, from fine-tuning investment decisions to data-driven products allowing us to better manage our buildings
                                                    • -
                                                    • Crafting and overseeing a range of analytical and ML models conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenance
                                                    • -
                                                    • Working closely with the data platforms team to integrate new data sources in your analysis as well as operationalizing models
                                                    • -
                                                    • Driving analytics innovation and develop thought leadership, redefining how data is used across the global real estate industry
                                                    • +
                                                    • Create and maintain optimal data pipeline architecture,
                                                    • +
                                                    • Assemble large, complex data sets that meet functional / non-functional business requirements.
                                                    • +
                                                    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                                                    • +
                                                    • Extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hadoop technologies.
                                                    • +
                                                    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
                                                    • +
                                                    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
                                                    • +
                                                    • Keep our data separated and secure across the data lake to adhere to industry and regulatory requirements
                                                    • +
                                                    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
                                                    • +
                                                    • Work with data and analytics experts to strive for greater functionality in our data systems.
                                                    • +
                                                    • Report progress status and issues.
                                                    • +
                                                    • Apply, and ensure compliance with, all appropriate CN IT standards (e.g. Code quality, Security, Architecture, Project Delivery Methodology, SOX, etc.)
                                                    -

                                                    -

                                                    To succeed in this role, you have:

                                                    +

                                                    +

                                                    REQUIREMENTS

                                                      -
                                                    • Experience as a curious, detail-orientated data scientist with a consistent track record in delivering analytical and ML projects in a commercial setting
                                                    • -
                                                    • 2-4 years’ experience working as a Data Scientist or Machine Learning Engineer
                                                    • -
                                                    • A proven grasp of the practical and theoretical aspects of statistical and ML such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and more
                                                    • -
                                                    • Strong Python programming skills and ability to write production grade code – Pandas, Numpy, scikit-learn essential
                                                    • -
                                                    • Excellent git skills
                                                    • -
                                                    • The ability to write performant SQL and have solid ETL/ELT experience
                                                    • -
                                                    • A solid understanding of Microsoft Azure Cloud, Azure DevOps & Azure ML Data Science stack
                                                    • -
                                                    • The ability to quickly build a solid understanding of the industry and competitive landscape to see opportunities for data-driven change
                                                    • -
                                                    • Excellent communication skills, with the ability to translate sophisticated analytical concepts to a non-data fluent audience
                                                    • -
                                                    • The ability to work your way through ambiguity as well as influence multiple technical and business partners
                                                    • -
                                                    • The ability to effectively prioritise requests and manage multiple competing stakeholders
                                                    • +
                                                    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (ADX)
                                                    • +
                                                    • Experience building and optimizing hadoop data pipelines, architectures and data sets.
                                                    • +
                                                    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                                                    • +
                                                    • Strong analytic skills related to working with unstructured datasets.
                                                    • +
                                                    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
                                                    • +
                                                    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
                                                    • +
                                                    • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
                                                    • +
                                                    • Strong organizational skills and can work autonomously to provide data solutions
                                                    • +
                                                    • Experience supporting and working with cross-functional teams in a fast paced environment.
                                                    • +
                                                    • 10+ years of experience in a Data Engineer role, graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
                                                    • +
                                                    • Should also have experience using the following software/tools:
                                                    • +
                                                    • Experience with big data tools: ADX, Hadoop, Spark, Kafka, etc.
                                                    • +
                                                    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
                                                    • +
                                                    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
                                                    • +
                                                    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
                                                    -

                                                    -

                                                    You will stand out if you have:

                                                    +

                                                    +

                                                    +

                                                    ASSETS

                                                    +

                                                      -
                                                    • Experience with application development
                                                    • -
                                                    • Experience with framework such as TensorFlow, Keras, PyTorch and MxNet
                                                    • -
                                                    • Experience with different mapping libraries and tools like Kepler.gl, ArcGIS and Map Box
                                                    • -
                                                    • Experience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plus
                                                    • -
                                                    • Previous work experience in an agile-cross functional team applying product management and human centered design principles
                                                    • -
                                                    • Experience working in the financial sector or exposure to the real estate industry
                                                    • -
                                                    • An active participation in the data science community via hackathons, meetups, Kaggle competitions etc.
                                                    • +
                                                    • Experience in Development Practices and proven methodologies (Agile, Iterative, Waterfall)
                                                    • +
                                                    • Experience with Cloudera/MapR/Hortonworks Hadoop distributions with a preference on Hortonworks
                                                    • +
                                                    • Hortonworks certification is a definite asset
                                                    • +
                                                    • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB is an asset
                                                    • +
                                                    • Experience with Spark is a asset
                                                    -

                                                    -

                                                    -

                                                    -

                                                    Our story:

                                                    -

                                                    Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                    -

                                                    -

                                                    For more information on Oxford, visit www.oxfordproperties.com

                                                    -

                                                    -

                                                    -

                                                    -

                                                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                    -

                                                    -

                                                    -

                                                    Vaccination Policy

                                                    -

                                                    -

                                                    At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                    -
                                                    -
                                                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Lead-Data-Scientist_JR-2415,feed-importer@jobboard.io,,,,2022-02-10T07:25:43.065Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/105944804-lead-data-scientist-at-omers,,expired,2022-01-27T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -de5bfdc6-eda0-40e8-b211-024372d718e3,106493952,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-01-31T10:03:05.824Z,"
                                                    -
                                                    -
                                                    -

                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                    -

                                                    -

                                                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                    -

                                                    -

                                                    To learn more about CIBC, please visit CIBC.com

                                                    -

                                                    -

                                                    Job Description

                                                    -

                                                    -

                                                    What You’ll Be Doing

                                                    -

                                                    -

                                                    As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                                    -

                                                    -

                                                    How You’ll Succeed

                                                    +

                                                    +

                                                    +

                                                    About CN

                                                    +

                                                    As a leading North American transportation and logistics company, CN is a true backbone of the economy. With a team of approximately 25,000 railroaders, our focus is on moving both our company and the economy forward. We transport US$200 billion worth of goods annually for a wide range of business sectors from resource to manufactured products to consumer goods, across a 20,000-mile network spanning Canada and mid-America. CN is the only Canadian company listed in the Transportation and Transportation Infrastructure sector of the Dow Jones Sustainability World Index (DJSI). Launched in 1999, the DJSI World represents the gold standard for corporate sustainability. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    +

                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                    ",,https://cn360.csod.com/ux/ats/careersite/4/home/requisition/6416?c=cn360&lang=en-US&utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-06-30T20:32:48.931Z,False,0,0,34,https://talenthub.vectorinstitute.ai/jobs/65349185-specialist-data-development-big-data-at-cn,,expired,2021-05-31T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Masters Degree,New Posting, +da098f96-fe1e-4aa9-a665-5e8eea8efb7d,65356828,Thales,APPLIED DEEP LEARNING SCIENTIST (FOCUS ON COMPUTER VISION),temporary,"Montréal, QC, Canada",2021-05-31T20:52:45.614Z,"

                                                    Location: Montreal, Quebec, Canada
                                                    Regular Employment, Full time

                                                    Location: Montreal, Canada

                                                    +

                                                    Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

                                                    +

                                                    Carrefour mondial de l’intelligence artificielle, Montréal est le foyer du nouveau centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx) collaborant avec les principaux groupes canadiens de recherche en intelligence artificielle à Montréal et à Toronto. S’appuyant sur ses compétences dans les principaux marchés industriels, Thales donne vie à l'intelligence artificielle au profit de ses clients tout en créant de passionnants emplois pour les chercheurs et les développeurs experts en intelligence artificielle en vue de trouver des solutions qui transformeront notre monde, du fond des océans aux confins de l'univers et du cyberespace. Ayant très tôt opté pour le modèle d’innovation ouverte et collaborative, Thales procède actuellement à la création de la structure du centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx). Piloté par Thales, le centre cortAIx, en collaboration avec l'Institut québécois d'intelligence artificielle (MILA), l'Institut de valorisation des données (IVADO) et l’Institut Vector de Toronto, est situé dans le célèbre quartier Petite-Italie, au cœur de la communauté de l’innovation à Montréal.

                                                    +

                                                    In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

                                                    +

                                                    Montreal – a world leading AI hub, is home to new Centre of Research & Technology in Artificial Intelligence eXpertise (cortAIx) collaborating with leading Canadian AI research groups in Montreal and Toronto. With competencies in major industrial markets Thales is bringing artificial intelligence to life for our customers creating exciting jobs for AI researchers and developers who will create solutions that will transform our world from the bottom of oceans to the depths of space and cyberspace. As an early adopter of open, creative and collaborative innovation model, Thales is building the Centre of Research and Technology in Artificial Intelligence eXpertise (cortAIx). Led by Thales, cortAIx, in collaboration with the MILA (Artificial Intelligence Institute of Quebec), the IVADO (Institute of Data Valorization) and the Vector Institute of Toronto, is located in Montreal’s famous Little Italy, in the heart of Montreal’s innovation community.

                                                    +

                                                    RAISON D’ÊTRE:

                                                    +

                                                    Un chercheur en intelligence artificielle (IA) appliquée en recherche et technologie (R&T) est chargé de découvrir, d'activer et d'intégrer des concepts d'IA innovants dans les solutions Thales. Il / elle prouve leur viabilité à travers la mise en œuvre de Proofs of Concept (PoC) et guide leur croissance de maturité à travers des prototypes et des démonstrateurs qui à leur tour illustreront et permettront leur plein potentiel commercial.

                                                    +

                                                    MISSIONS PRINCIPALES

                                                    +

                                                    En tant que chercheur en IA appliquée à la recherche et à la technologie, vous dirigerez les activités clés tout au long de nos projets au rythme rapide.

                                                    +

                                                    Pour réussir dans ce rôle, la curiosité pour ce qui est nouveau, la volonté de remettre en question le statu quo, l'ouverture d'esprit et la pensée originale sont essentielles. L'individu doit rapidement apprendre et évaluer les nouvelles techniques et technologies afin de décider de les adopter, de les adapter ou de les abandonner. Il doit également être capable de proposer de nouvelles idées, de les présenter, de les remettre en question et de les améliorer continuellement. L'individu doit posséder des compétences techniques approfondies et pratiques et être familiarisé avec les derniers outils et environnements de développement Deep Learning, avec un fort accent sur les applications de vision par ordinateur, afin de contribuer à la mise en œuvre de ces idées.

                                                    +

                                                    Proposer des concepts innovants et les mettre en œuvre est rarement un processus individualiste. Le scientifique fait partie d'une équipe multidisciplinaire. Un fort esprit d'équipe et des capacités de travail d'équipe sont obligatoires. Il / elle contribuera en tant qu'expert technique à des projets de Recherche et Technologie au sein de Thales et de ses business units. Par conséquent, de bonnes compétences en communication sont nécessaires.

                                                    +

                                                    EXIGENCES

                                                      -
                                                    • -Business Analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.
                                                    • -
                                                    • -Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.
                                                    • -
                                                    • -Project planning and execution - As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.
                                                    • +
                                                    • Maîtrise en informatique, ingénierie ou mathématiques
                                                    • +
                                                    • Expérience préalable en intelligence artificielle, apprentissage automatique
                                                    • +
                                                    • Compétences démontrées dans la conception de systèmes d’IA
                                                    • +
                                                    • Bonne base en mathématiques, statistiques et probabilités
                                                    • +
                                                    • Solide connaissance des fondations de l'apprentissage automatique avec un accent sur les applications de vision par ordinateur
                                                    • +
                                                    • Connaissance des architectures traditionnelles d'apprentissage profond (MLP, CNN, UNET, etc.) et des architectures d'apprentissage génératif profond (GAN, VAE) pour les tâches de vision par ordinateur.
                                                    • +
                                                    • Solides compétences en développement avec des frameworks d'apprentissage automatique tels que Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                    • +
                                                    • Solides compétences en programmation Python
                                                    • +
                                                    • Connaissance pratique du système d'exploitation Linux
                                                    • +
                                                    • Volonté de contribuer dans un environnement axé sur l’équipe
                                                    • +
                                                    • Capacités de leadership démontrées dans des organisations scolaires, civiles ou commerciales
                                                    • +
                                                    • Capacité à travailler de manière créative et analytique dans un environnement de résolution de problèmes
                                                    • +
                                                    • Compétences avérées en communication verbale et écrite en anglais (conférences, présentations, publications, etc.)
                                                    -

                                                    -

                                                    Who You Are

                                                    +

                                                    QUALIFICATIONS PRÉFÉRÉES

                                                      -
                                                    • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                    • -
                                                    • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents
                                                    • -
                                                    • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                    • -
                                                    • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                    • -
                                                    • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.
                                                    • -
                                                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                    • +
                                                    • Doctorat en informatique, ingénierie ou mathématiques
                                                    • +
                                                    • Minimum 3 ans d'expérience en machine learning en Python avec un intérêt pour le Deep Learning
                                                    • +
                                                    • Un historique de développement de logiciels d'IA (Deep Learning Focus) exceptionnel avec des preuves Github (ou similaires)
                                                    • +
                                                    • Compétences démontrées dans la conception de systèmes d’IA
                                                    • +
                                                    • Intérêt démontré pour le Deep Learning appliqué, y compris 1 / stade précoce de préparation des données, augmentation, génération, 2 / réglage systématique du modèle Deep Learning, 3 / modélisation d'expériences de Machine Learning réplicables, 4 / pipeline d'apprentissage profond pour la sélection et la validation de modèles ML.
                                                    • +
                                                    • Expérience de travail avec des langages de programmation tels que C, C ++, Java, des langages de script (Perl / Python / Ruby) ou similaires
                                                    • +
                                                    • Une expertise en apprentissage automatique embarqué (par exemple, quantification du Deep Learning) est un atout majeur
                                                    • +
                                                    • Expérience pratique de la visualisation des données, des outils / langages d'analyse
                                                    • +
                                                    • Travail d’équipe et collaboration démontrés dans des environnements professionnels
                                                    • +
                                                    • Capacité d'établir une crédibilité auprès des clients et des autres membres de l'équipe
                                                    • +
                                                    • Expérience préalable dans un environnement de recherche et technologie ou d'innovation (brevets, conception de systèmes, etc.)
                                                    • +
                                                    • Historique des publications dans les grandes conférences d'Intelligence Artificielle: CVPR, NeurIPS, IJCAI, AAAI, etc.
                                                    -

                                                    -

                                                    What CIBC Offers

                                                    -

                                                    -

                                                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                    +

                                                    JOB PURPOSE

                                                    +

                                                    A Research and Technology (R&T) Applied Artificial Intelligence (AI) Scientist is responsible for discovering, enabling and integrating innovative AI concepts into Thales solutions. He/she proves their viability through the implementation of Proofs of Concept (PoCs) and guides their maturity growth through prototypes and demonstrators that will in turn illustrate and enable their full business potential.

                                                    +

                                                    KEY JOB FUNCTIONS

                                                    +

                                                    As a Research and Technology Applied AI Scientist, you will drive the key activities throughout our fast-paced projects.

                                                    +

                                                    To be successful in this role, curiosity for what is new, willingness to challenge the status quo, open-mindedness and out-of-the-box thinking are crucial. The individual should quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them. He/she also needs to be able to come up with new ideas, present them, challenge them and improve them continuously. The individual must possess deep, hands-on technical skills and be familiar with latest Deep Learning development tools and environments, with a strong focus on Computer Vision applications, in order to contribute to the implementation of those ideas.

                                                    +

                                                    Coming up with innovative concepts and implementing them is rarely an individualistic process. The scientist is part of a multi-disciplinary team. Strong team spirit and teamwork capabilities are mandatory. He/she will contribute as a technical subject matter expert to Research and Technology projects across Thales and its business units. Therefore, good communication skills are required.

                                                    +

                                                    ESSENTIAL SKILLS AND QUALIFICATIONS

                                                    +
                                                      +
                                                    • PhD/Masters degree in computer science, engineering or mathematics fields
                                                    • +
                                                    • Prior experience in artificial intelligence, machine learning
                                                    • +
                                                    • Minimum 3 years of machine learning experience in Python with interest in Deep Learning
                                                    • +
                                                    • A track record of outstanding AI (Deep Learning focus) software development with Github (or similar) evidence
                                                    • +
                                                    • Demonstrated abilities in designing AI systems
                                                    • +
                                                    • Demonstrated interest in applied Deep Learning, including 1/ early stage of data preparation, augmentation, generation, 2/ systematic Deep Learning model tuning, 3/ replicable Machine Learning experiments modeling, 4/ Deep Learning pipeline for ML model selection and validation.
                                                    • +
                                                    • Work experience with programming languages such as C, C++, Java, scripting languages (Perl/Python/Ruby) or similar
                                                    • +
                                                    • Expertise in Embedded Machine Learning (e.g., Deep Learning quantization) is a strong plus
                                                    • +
                                                    • Good foundation in mathematics, statistics and probability
                                                    • +
                                                    • Strong knowledge of Machine Learning foundations with a focus on Computer Vision applications
                                                    • +
                                                    • Knowledge of mainstream Deep Learning architectures (MLP, CNN, UNET, etc) and Deep Generative Learning architectures (GAN, VAE) for computer vision tasks.
                                                    • +
                                                    • Strong development skills with Machine Learning frameworks such as Scikit-learn, Tensorflow, Keras, PyTorch, Theano
                                                    • +
                                                    • Strong Python programming skills
                                                    • +
                                                    • Working knowledge of Linux OS
                                                    • +
                                                    • Eagerness to contribute in a team-oriented environment
                                                    • +
                                                    • Demonstrated leadership abilities in school, civil or business organisations
                                                    • +
                                                    • Ability to work creatively and analytically in a problem-solving environment
                                                    • +
                                                    • Proven verbal and written communication skills in English (talks, presentations, publications, etc.)
                                                    • +
                                                    +

                                                    Chez Thales, nous proposons des CARRIÈRES passionnantes, pas de simples emplois. Fort de ses 80 000 collaborateurs dans 68 pays, Thales a mis en place une politique de mobilité permettant, chaque année, à des milliers d'employés de faire progresser leur carrière tant dans leur domaine d’expertise que dans de nouveaux domaines de compétences, cela aussi bien dans leur pays d’origine qu’à l'étranger. Ensemble, nous pensons qu’adopter une politique de flexibilité est une manière plus actuelle de travailler. C’est ici que commence votre parcours exceptionnel, postulez sans tarder!

                                                    +

                                                    At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

                                                    +

                                                    Thales s’engage à promouvoir un lieu de travail diversifié et inclusif pour tous. Thales s’engage à fournir des accommodements à toute les étapes du processus de recrutement. Les candidats retenus pour une entrevue qui ont besoin d’accommodement sont priés d’en informer à la suite de l’invitation pour une entrevue. Nous travaillerons avec vous pour répondre à vos besoins. Toutes les informations relatives à l'accommodement fourni seront traitées de manière confidentielle et utilisées uniquement dans le but de fournir une expérience de candidat accessible.

                                                    +

                                                    Thales is committed to a diverse and inclusive workplace for all. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                    ",,https://jobs.thalesgroup.com/job/montreal/applied-deep-learning-scientist-focus-on-computer-vision/1766/18635684,aimasters@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2021-06-30T20:52:50.180Z,False,0,5,68,https://talenthub.vectorinstitute.ai/jobs/65356828-applied-deep-learning-scientist-focus-on-computer-vision-at-thales,,expired,2021-05-31T20:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +11edcd03-6891-4056-9042-e8dbd85df67c,65722013,Sunnybrook Research Institute,Medventions / Medical Technology Innovation Intern,on_site,"Toronto, ON, Canada",2021-06-02T18:14:03.335Z,"

                                                    Medventions Internship Program

                                                    +

                                                    Fall 2021 Recruitment (September - December)

                                                    +

                                                    Overview

                                                    +

                                                    The Medventions Internship Program is a fast-paced, project-based training structure for students and recent graduates with a passion for entrepreneurship and a commitment to improving health care for patients around the world through technology innovation and commercialization.

                                                    +

                                                    Over four months, multidisciplinary teams of aspiring medtech entrepreneurs work closely with academic and industry advisors to identify and validate clinical needs, develop and prototype new health technology solutions, and become well-positioned to plan for their commercialization and implementation into patient care.

                                                    +

                                                    The physician-led internships are designed to provide participants with an immersive, hands-on training experience to understanding rules of the road of medtech innovation. Participants will become familiar with the fundamental aspects from developing an idea to commercial success, gaining knowledge of the role of intellectual property management, regulatory pathways, reimbursement mechanisms, funding models and business strategy in the successful commercialization of new medical device technologies.

                                                    +

                                                    Internships are considered a jump-start for clinicians, engineers, researchers and business graduates who are interested in pursuing a career in medical technology entrepreneurship. Participants can apply their talent to build their own medtech start-ups, lead translational research projects and become savvy experts in various aspects of the medtech innovation process.

                                                    +

                                                    Position Summary

                                                    +

                                                    The Medventions Program currently has several openings for a temporary full-time Medventions intern. Successful candidates will work in a team setting and will be assigned a strategic focus in a medical practice area, which will guide the innovation process and chart the path and itinerary for the internship. The strategic focus of the fall 2021 program will be in the areas of image-guided musculoskeletal interventions and the utilization of artificial intelligence and big data in the fields of orthopaedic surgery and bone and joint care.

                                                    +

                                                    Position Responsibilities & Essential Functions:

                                                    +

                                                    The configuration of the Medventions Internship Program allows interns to get involved in clinical immersion, identification and verification of clinical problems, ideation, and the making of an early proof of concept or a prototype for a new medical device. The four-month internship is divided into three main phases with the following structure:

                                                    +
                                                      +
                                                    • Phase 1: Clinical needs identification, verification and assessment
                                                    • +
                                                    • Phase 2: Ideation and brainstorming
                                                    • +
                                                    • Phase 3: Concept development, product design and prototyping
                                                    • +
                                                    +

                                                    Generally, interns are required to:

                                                    +
                                                      +
                                                    • If circumstances allow, perform on-site or remote clinical observations, perform qualitative research, and conduct interviews with clinicians, researchers, scientists and key opinion leaders in the field;
                                                    • +
                                                    • identify and document clinical challenges that impose a significant clinical burden;
                                                    • +
                                                    • complete thorough analysis for the identified problems; this includes a stakeholder and market analysis, and a study for the disease state fundamentals and treatment options. Interns will also research and consult with faculty and perform literature and patent searches;
                                                    • +
                                                    • develop a medical solution concept that addresses the clinical need and problem identified;
                                                    • +
                                                    • translate the final concept into a prototype — the goal is to use prototyping to create design requirements and generate high-level specifications related to technical feasibility for the innovation under consideration.
                                                    • +
                                                    +

                                                    Important Notice: COVID-19 and Sunnybrook Medventions

                                                    +

                                                    With threats of resurgence and possible future waves of COVID-19, the research and clinical environments at Sunnybrook Health Sciences Centre are continuously changing with possibilities to limit on-site research activities to critical COVID-19 related research or other time-sensitive critical projects and clinical work. As such, the recruitment decisions and nature of the internship program including access to the clinical environment and the ability to conduct direct observations will be contingent upon the Sunnybrook Research Institute policies in place and level of concern at the time of the internship.

                                                    +

                                                    Skills and Qualifications

                                                    +

                                                    The ideal candidate is an individual with a strong entrepreneurial drive, passion for health care innovation and a desire to build something with a strong positive impact, and demonstrated potential for creativity, invention, leadership and business development. We believe the following qualifications will help interns become successful:

                                                    • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                    • +Entrepreneurial mindset — action and detail oriented, analytical, sees problems as opportunities, comfortable with ambiguity, self-learner with strong business acumen
                                                    • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                    • +Leadership and determination — ability to turn ideas into action; creativity, innovation and risk-taking, as well as the ability and determination to plan and manage projects independently beyond the four-month training block
                                                    • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                    • -
                                                    • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                    • +Teamwork — Proven ability to work effectively as part of a multidisciplinary team including skills in imparting or exchanging information with others +
                                                    • +Problem-solving skills — Demonstrated excellence in finding solutions to difficult or complex problems, decision making, communication and critical thinking
                                                    • +
                                                    • +Motivation and interest — Strong interest in innovation and change across health care, design thinking, entrepreneurship and business modelling
                                                    • +
                                                    • Proven excellent interpersonal skills and effective oral/written communication skills
                                                    • +
                                                    • Background/experience in medicine, engineering and/or business is an asset
                                                    • +
                                                    • Given the big data and AI focus of the fall 2021 internship program, candidates with skills in data science, data analytics, machine learning, software engineering and artificial intelligence are encouraged to apply
                                                    -

                                                    -

                                                    -

                                                    What you need to know

                                                    +

                                                    N.B. Graduate students who are seeking a research internship or practicum as part of their academic program are encouraged to apply. Please list your program requirements in your cover letter.

                                                    ",ahmed.nasef@sunnybrook.ca,,ahmed.nasef@sunnybrook.ca,https://sunnybrook.ca/research/,,,2021-07-02T20:00:00.000Z,False,3,0,123,https://talenthub.vectorinstitute.ai/jobs/65722013-medventions-medical-technology-innovation-intern-at-sunnybrook-research-institute,,expired,2021-06-02T18:14:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Health,Internship/Co-op,Bachelors Degree,New Posting, +6e917763-0546-47a8-b066-3ee0171dc494,66249870,RBC,"Data Analyst, Fall 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-06-04T21:53:06.770Z,"
                                                    +

                                                    What is the opportunity?
                                                    Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                                      -
                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                    • -
                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                    • -
                                                    • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                    • +
                                                    • Innovation & Technology
                                                    • +
                                                    • Global Technology Infrastructure
                                                    • +
                                                    • Enterprise Operations Payments
                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Job Location

                                                    Toronto-CC East 12th Floor

                                                    Employment Type

                                                    Regular

                                                    -

                                                    Weekly Hours

                                                    37.5

                                                    Skills

                                                    -

                                                    -
                                                    -
                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2133645,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-14T10:08:06.988Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/106493952-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-01-31T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -747e261b-14be-4914-9a40-191081fa4db2,104404504,BenchSci,Senior Machine Learning Engineer - NLP (Remote),on_site,"Toronto, Ontario /",2022-01-16T05:00:13.001Z,"
                                                    -
                                                    BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                    -

                                                    -
                                                    We are seeking a Senior Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.
                                                    -

                                                    -
                                                    Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to design and build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                    -
                                                    -

                                                    You will:

                                                    -
                                                        -
                                                      • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                      • -
                                                      • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                                                      • -
                                                      • Continuously improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                      • -
                                                      • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                                                      • -
                                                      • Own the solutions and long-term technical investments that will drive innovation at BenchSci
                                                      • -
                                                      • Work cross-functionally with different stakeholders including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                                                      • -
                                                      • Participate and contribute to sprint planning, estimation, and design/code reviews
                                                      • -
                                                      • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                      • -
                                                      • Establish and apply best industry practices
                                                      • -
                                                    -
                                                    -

                                                    You have:

                                                    -
                                                        -
                                                      • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                                                      • -
                                                      • Strong experience with Python and programming fundamentals
                                                      • -
                                                      • Extensive experience with NLP and PyTorch
                                                      • -
                                                      • Experience with designing, building, and evaluating robust and scalable production-ready ML models
                                                      • -
                                                      • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                      • -
                                                      • Experience with data manipulation and processing, such as SQL or pandas
                                                      • -
                                                      • A growth mindset and a constant desire to learn
                                                      • -
                                                      • Strong cross-team communication and collaboration skills
                                                      • -
                                                    -
                                                    -

                                                    Nice to haves, but not mandatory qualifications:

                                                    -
                                                        -
                                                      • Research publications in ML/AI-related fields
                                                      • -
                                                      • Experience working with cloud environments and services
                                                      • -
                                                      • Experience with computer vision
                                                      • -
                                                      • A degree in Computer Science, Mathematics, or other closely-related disciplines
                                                      • -
                                                    -
                                                    -

                                                    What BenchSci will provide you with:

                                                    -
                                                        -
                                                      • Remote first culture to allow you to work from your preferred location
                                                      • -
                                                      • On-site Ph.D. scientists that give expert feedback on models
                                                      • -
                                                      • Fresh datasets that are custom curated and constantly updated
                                                      • -
                                                      • One-on-one coaching and investment in your personal and professional growth
                                                      • -
                                                      • Empowerment to own your solutions
                                                      • -
                                                    -
                                                    -

                                                    -

                                                    -
                                                    Benefits and Perks:
                                                    -
                                                    An engaging remote-first culture that hires the best talent from around the world
                                                    -
                                                    A competitive compensation package that includes BenchSci equity options
                                                    -
                                                    Comprehensive health and dental benefits with an emphasis on mental health
                                                    -
                                                    An annual Executive Health Assessment at Medcan for proactive health awareness
                                                    -
                                                    Three weeks of vacation plus an additional day for every completed year
                                                    -
                                                    Generous parental leave benefits with a top-up plan or paid time off options
                                                    -
                                                    Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                    -
                                                    A $1000 work from home allowance to make your home setup perfect for you
                                                    -
                                                    An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                    -
                                                    An executive coach for managers to assist in leading high-performing teams
                                                    -
                                                    Complimentary Headspace account to support mental wellness and focus
                                                    -
                                                    Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                    -

                                                    -
                                                    Our Culture:
                                                    -
                                                    We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                    -

                                                    -
                                                    Diversity, Equity and Inclusion:
                                                    -
                                                    We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                    -

                                                    -
                                                    Accessibility Accommodations:
                                                    -
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    -

                                                    -
                                                    #LI-Remote
                                                    -
                                                    ",,https://jobs.lever.co/benchsci/aef83e91-7fa8-43fc-bedc-bca702bf6a3e?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-02-16T16:43:58.970Z,False,0,0,21,https://talenthub.vectorinstitute.ai/jobs/104404504-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/aef83e91-7fa8-43fc-bedc-bca702bf6a3e,expired,2022-01-16T05:00:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -f709631a-e864-426a-9b2c-66f4a7046314,104380332,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2022-01-16T02:43:07.717Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Multiple Locations, Canada
                                                    All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                                    -
                                                    -

                                                    -

                                                    Our Purpose

                                                    -

                                                    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                    -

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Partner with clients to solve their most complex problems
                                                    Uncover the possibilities of AI in your career and set the foundation for success tomorrow

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -
                                                    -

                                                    -

                                                    Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                                    -
                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -

                                                    As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                                    You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                                    -

                                                    Specifically, you will:

                                                    -
                                                    • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                                    • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                    • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                                    • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.
                                                    • +

                                                      What will you do?

                                                      +
                                                        +
                                                      • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                                      • +
                                                      • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                                      • +
                                                      • Confirm that projects adhere to development standards and guidelines
                                                      • +
                                                      • Apply data warehouse concepts and methodologies to various projects

                                                      -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -
                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have

                                                    +
                                                      +
                                                    • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                    • +
                                                    • Leadership acumen and a passion to apply it in a dynamic business environment
                                                    • +
                                                    • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                    • +
                                                    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                    • +
                                                    • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                    • +
                                                    • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                    • +

                                                    -

                                                    Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -


                                                    Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -
                                                    +

                                                    Nice-to-have

                                                    +
                                                      +
                                                    • Prior experience in data integration of disparate data sources
                                                    • +
                                                    • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                    • +
                                                    • Relational database concepts and design experience
                                                    • +
                                                    • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                    • +

                                                    -

                                                    You are someone with:
                                                    • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                                    • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                                    • 5+ years of technology consulting or industry experience in data & analytics delivery
                                                    • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                                    • Effective communicator that can explain complex technical concepts to executives and business leaders

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                    +
                                                      +
                                                    • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                    • +
                                                    • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                    • +
                                                    • Leaders who support your development through coaching and learning opportunities
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive and highly performing team
                                                    • +
                                                    • Ability to make a difference and lasting impact
                                                    • +
                                                    • Enjoy a comfortable work environment with the option to dress casually
                                                    • +

                                                    -

                                                    If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                    -


                                                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                    -
                                                    -
                                                    -
                                                    +

                                                    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is May 31, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                    +

                                                    While there is no one date when our employees will return, we can confirm that the majority of Fall Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                    -

                                                    Our shared values

                                                    -

                                                    While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                    -

                                                    They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                    -

                                                    Every day, we live our Purpose through the following five shared values:

                                                    -
                                                    • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                    • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                    • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                    • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                    • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                    • -
                                                    -



                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You? Apply by [insert date].

                                                    -

                                                    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                    -

                                                    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-16T16:37:46.391Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/104380332-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2022-01-16T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -931002f2-591f-4f17-82cb-99cf3e76fe13,104404506,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2022-01-16T05:00:13.453Z,"
                                                    -
                                                    About Us
                                                    -
                                                    Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                                    -

                                                    -
                                                    Ideal Candidate
                                                    -
                                                    Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                                    -
                                                    -
                                                    -

                                                    What You’ll Be Doing:

                                                    -
                                                        -
                                                      • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                      • -
                                                      • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                      • -
                                                      • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                      • -
                                                      • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    What You Bring:

                                                    -
                                                        -
                                                      • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                      • -
                                                      • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                      • -
                                                      • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                      • -
                                                      • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                      • -
                                                      • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                      • -
                                                      • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                      • -
                                                    -
                                                    -
                                                    -

                                                    What we offer:

                                                    -
                                                        -
                                                      • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                      • -
                                                      • A highly competitive salary and meaningful equity compensation.
                                                      • -
                                                      • Exceptional opportunities for learning and growth.
                                                      • -
                                                      • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                                      • -
                                                    -
                                                    -
                                                    -
                                                    -Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                    -

                                                    -
                                                    Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                    -
                                                    ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2022-02-16T16:41:12.780Z,False,0,13,77,https://talenthub.vectorinstitute.ai/jobs/104404506-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2022-01-16T05:00:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -c42f1d7b-6ec0-43c6-a62f-27d04e214c2f,104592042,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-01-18T07:19:03.724Z,"

                                                    About the role

                                                    -

                                                    Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                    -

                                                    Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                    -

                                                    -

                                                    Qualifications

                                                      -
                                                    • 7-10 years of commercial experience in a data science role solving high impact business problems
                                                    • -
                                                    • You have well built technical experience that inspires individual contributors creativity and innovation.
                                                    • -
                                                    • You have experience with product leadership and technical decision making.
                                                    • -
                                                    • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                                    • -
                                                    • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                                    • -
                                                    • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                                    • -
                                                    • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                                    • -
                                                    • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                    • -
                                                    -

                                                    What would be great if you have:

                                                    -
                                                      -
                                                    • Previous experience using Spark.
                                                    • -
                                                    • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                                    • -
                                                    • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                                    • -
                                                    -

                                                    -
                                                    -
                                                    -
                                                    -

                                                    All your information will be kept confidential according to EEO guidelines.

                                                    -

                                                    If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                    -

                                                    #LI-REMOTE

                                                    -

                                                    Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                    -

                                                    Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                    -

                                                    At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                    How we hire

                                                    At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                    Learn more about our hiring process -
                                                    -
                                                    -
                                                    -
                                                    ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-02-19T15:49:54.393Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/104592042-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-01-18T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Bachelors Degree,New Posting, -e064e3d5-90b0-4a02-b80c-e190a9b630a2,107889008,Sun Life Financial,"Director, Data Science (Machine Learning)",on_site,"Ontario, Canada",2022-02-07T06:50:16.606Z,"
                                                    -
                                                    -
                                                    -

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    -

                                                    Role Summary

                                                    -

                                                    -

                                                    As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                                    -

                                                    -

                                                    Reporting to the AVP, Innovation and Analytics, the Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will hire and lead a high-performing team of data scientists and provide thought leadership on the application of advanced analytics to business problems. This role currently has two (2) direct reports.

                                                    -

                                                    -

                                                    The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a hands-on mentality and passion for leveraging data to drive business outcomes.

                                                    -

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Hire and lead a team of data scientists to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                                    • -
                                                    • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                                    • -
                                                    • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                                    • -
                                                    • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                                    • -
                                                    • Coach and grow a high-performing team of data scientists with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -
                                                      -
                                                    • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                                    • -
                                                    • 6+ years of industry experience with 4+ years leading data science projects with hands-on experience building and deploying statistical / machine learning models

                                                    • -
                                                    • 3+ years experience in managing a team of data scientists

                                                    • -
                                                    • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                                    • -
                                                    • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                                    • -
                                                    -

                                                    -

                                                    What will be nice to have?

                                                    -
                                                      -
                                                    • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                                    • -
                                                    • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                                    • -
                                                    • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                                    • -
                                                    • Experience with data analytics and data visualization best practices

                                                    • -
                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -
                                                      -
                                                    • Competitive salary and bonus structure influenced by market range data

                                                    • -
                                                    • 20 days vacation per year and an innovative sabbatical program

                                                    • -
                                                    • A friendly, collaborative and inclusive culture in a hybrid, remote environment

                                                    • -
                                                    • Being part of our Analytics community, where we share best practices and broaden skill sets

                                                    • -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family

                                                    • -
                                                    • Pension, stock and savings programs to help build and enhance your future financial security

                                                    • -
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                    • -
                                                    -

                                                    -

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    -

                                                    Salary Range:

                                                    104,000/104 000 - 171,700/171 700

                                                    -

                                                    Job Category:

                                                    Advanced Analytics

                                                    -

                                                    Posting End Date:

                                                    20/02/2022
                                                    -
                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-02-21T07:02:13.729Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/107889008-director-data-science-machine-learning-at-sun-life-financial,,expired,2022-02-07T06:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -a7b6ecca-566e-4dd1-aebf-e1f1bcf085ce,107305629,TD Bank Group,Sr. Business Insights Analyst (Fraud Strategy),on_site,"Markham, ON",2022-02-03T20:33:05.456Z,"
                                                    +

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: Various
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Career Level: Student Job
                                                    Position Level: PL11
                                                    Application Deadline: 05/31/2021
                                                    Req ID: 354537

                                                    +

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/354537/Data-Analyst-Fall-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-08T21:58:21.535Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/66249870-data-analyst-fall-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/354537/Data-Analyst-Fall-2021-Student-Opportunities,expired,2021-06-04T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +63bcc1f4-a034-46ee-af0c-5cca5fe88672,66987769,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2021-06-08T15:42:04.594Z,"

                                                    Company Overview

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    @@ -27618,72 +25685,43 @@ a7b6ecca-566e-4dd1-aebf-e1f1bcf085ce,107305629,TD Bank Group,Sr. Business Insigh

                                                    Job Description

                                                    +

                                                    About this Role

                                                    -

                                                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                    -

                                                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                    -

                                                    As a Senior Business Insights Analyst, you will:

                                                    -

                                                    This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                    +

                                                    You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                    +

                                                    We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                    +

                                                    +

                                                    As the Manager, Analytics & Insights you will:

                                                      -
                                                    • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                    • -
                                                    • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                    • -
                                                    • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                    • -
                                                    • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                    • -
                                                    • understand and actively managing the operational impacts of our fraud defense strategies
                                                    • +
                                                    • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                    • +
                                                    • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                    • +
                                                    • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                    • +
                                                    • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                    • +
                                                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                    • +
                                                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                    • +
                                                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                    • +
                                                    • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                    • +
                                                    • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                    • +
                                                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                    • +
                                                    • Set operational team direction, working in partnership to execute on common goals
                                                    • +
                                                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                    • +
                                                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                    • +
                                                    • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                    • +
                                                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                    • +
                                                    • Support execution with excellence on key initiatives/programs
                                                    • +
                                                    • Design effective test and learn for various programs or scenarios
                                                    • +
                                                    • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                    • +
                                                    • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                    • +
                                                    • Present insights back to executive leaders / business partners to drive strategic improvement
                                                    -

                                                    The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                    Requirements

                                                    What can you bring to TD?

                                                    -

                                                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +

                                                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Five (5) or more years relevant experience
                                                    • -
                                                    • Data Analytics/Data Science
                                                    • -
                                                    • Python /SQL/SAS
                                                    • -
                                                    -

                                                    Nice to Have
                                                    Fraud background.

                                                    -
                                                      -
                                                    • Machine Learning experience and understanding of different ML methods with proven production track record
                                                    • -
                                                    • Automation experience to replace complicated processes with end to end solutions
                                                    • -
                                                    • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                    • -
                                                    • Demonstrated analytical, modeling and problem solving skills
                                                    • -
                                                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                    • -
                                                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                    • -
                                                    • Ability to take initiative and work independently under tight timelines
                                                    • -
                                                    -
                                                      -
                                                    • Ability to work collaboratively and build relationships
                                                    • -
                                                    • Ability to effectively manage multiple projects and priorities simultaneously
                                                    • -
                                                    -
                                                    • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                    -
                                                    -

                                                    -

                                                    Additional Information

                                                    -
                                                    -Fraud Management

                                                    -
                                                      -
                                                    • Accountable for fraud loss targets and the customer experience
                                                    • -
                                                    • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                    • -
                                                    • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                    • -
                                                    • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                    • -
                                                    • Supports case valuation and prioritization to optimize fraud management
                                                    • -
                                                    • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                    • -
                                                    • Provide ad-hoc analysis to support decision-making at the executive level
                                                    • -
                                                    • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                    • -
                                                    • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                    • -
                                                    • Produce timely diagnostics to identify system, strategy and operational issues
                                                    • -
                                                    • Participates in defect analysis to identify and remediate coverage gaps
                                                    • -
                                                    -

                                                    Partner Support

                                                    -
                                                      -
                                                    • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                    • -
                                                    • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                                    • -
                                                    • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                    • -
                                                    • Support the continuous improvement agenda for our operational partners
                                                    • -
                                                    • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                    • -
                                                    • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                                                    • +
                                                    • Seven (7) or more years relevant experience

                                                    @@ -27693,1344 +25731,1011 @@ a7b6ecca-566e-4dd1-aebf-e1f1bcf085ce,107305629,TD Bank Group,Sr. Business Insigh

                                                    Inclusiveness

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/14431985/sr-business-insights-analyst-fraud-strategy-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-21T20:38:07.463Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/107305629-sr-business-insights-analyst-fraud-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14431985/sr-business-insights-analyst-fraud-strategy-markham-ca/,expired,2022-02-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -719dd565-6e46-41b9-b8ac-8db3aed4bd4d,105137070,Deloitte,"Data Engineer - Azure, Omnia AI",on_site,"Ontario, Canada",2022-01-21T02:42:48.803Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Multiple Locations, Canada
                                                    All Available Locations: Toronto; Montreal; Ottawa; Vancouver

                                                    -
                                                    -

                                                    -

                                                    Our Purpose

                                                    -

                                                    At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                    -

                                                    By living our Purpose, we will make an impact that matters.

                                                    -

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Build your leadership skills at Deloitte University.
                                                    Have many careers in one Firm.
                                                    Partner with clients to solve their most complex problems
                                                    Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                    Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                    Experience a firm where wellness matters.
                                                    Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                    Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                    Build a network of colleagues for life
                                                    Have an impact that matters through pro bono and significant volunteer opportunities.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.
                                                    Be expected to share your ideas and to make them a reality.
                                                    Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                    Grow your network and your knowledge by joining one of our many Employee Resource Groups.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    -

                                                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                    -
                                                    -
                                                    -

                                                    What will your typical day look like?

                                                    -
                                                    -

                                                    As a Data Engineer in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, you are tech savvy and have a solid understanding of software development.

                                                    -

                                                    Specifically, in this role, you will:
                                                    • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                    • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                    • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                    • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                    -
                                                    -
                                                    -
                                                    -

                                                    About the team

                                                    -
                                                    -

                                                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -

                                                    Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Enough about us, let’s talk about you

                                                    -
                                                    -

                                                    You are someone with:
                                                    • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                    • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                    • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Azure Cloud using Azure Data Factory, Azure Functions, and Python.
                                                    • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using data storage knowledge of SQL Server, Cosmos DB, and Data Lakes.
                                                    • Experience with implementation of BI platforms such as Databricks and Azure analysis services
                                                    • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                    -

                                                    If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                    -

                                                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                    -
                                                    -
                                                    -
                                                    -

                                                    Our shared values

                                                    -

                                                    While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                    -

                                                    They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                    -

                                                    Every day, we live our Purpose through the following five shared values:

                                                    -
                                                    • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                    • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                    • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                    • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                    • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                    • +
                                                    ",,https://jobs.td.com/en-CA/jobs/12981781/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-21T15:47:05.480Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/66987769-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12981781/manager-analytics-insights-toronto-ca/,expired,2021-06-08T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +be6fcd15-1d02-438e-9dc3-eb44ef1e9b3b,67016546,Manulife,"AVP Functions Advanced Analytics, Strategy & Governance",on_site,"Toronto, ON CA",2021-06-08T21:51:15.886Z,"

                                                    Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                    +

                                                    +

                                                    Job Description

                                                    +

                                                    The AVP Functions Advanced Analytics, Strategy & Governance (AVP – Functions AA & Governance) leads a group of teams in applying leading AI/AA technologies in support of Group Functions, governing AI/AA model risk and responsible AI framework, while scaling up AI/AA training. AVP – Functions AA & Governance is a leader in managing AI/AA teams and a well-established professional within the AI/AA community; accountable for implementing Manulife’s AI/AA model risk framework and responsible AI framework; while also leading the AI/AA Academy for Executives and broader training initiatives; he/she is a connector who partners closely with CAO leadership in developing business plans in support of the corporate AI/AA Strategies.

                                                    +

                                                    +

                                                    +

                                                    Key Accountabilities:

                                                    +
                                                      +
                                                    • Lead and inspire teams of Data Scientists and Data Engineers by pushing the boundaries of AI/AA applications in support Manulife’s Group Functions. The levels of team members are from J (associate data scientist) to M (Lead Data Scientist)
                                                    • +
                                                    • Advises and influences Group Functions Executive leadership teams at different levels with leading AI/AA applications and trends, identifying new opportunities to develop solutions while tackling business problems
                                                    • +
                                                    • Lead the AI/AA model validation unit to implement the AI/AA Model Risk Framework. Develop Responsible AI framework
                                                    • +
                                                    • Lead the AI/AA Academy for Executives and broader training initiatives
                                                    • +
                                                    • Lead the engagement with academic research institutions and universities
                                                    • +
                                                    • Coordinate internal AI/AA knowledge sharing sessions, e.g. Monthly Best Practices, and research workshops with internal and external speakers on selected topics. Actively bridging the gap between the external leading research advances and internal practices
                                                    • +
                                                    • Actively engage with AI/AA communities and represent Manulife/John Hancock in AI/AA discussions externally
                                                    • +
                                                    • Consistently sees overall picture and alternative approaches; vision of what may be possible
                                                    • +
                                                    • Builds support and collaboration by communicating the significant impacts of a decision and sharing a vision of achieving the most favorable outcome
                                                    • +
                                                    • Maintains a strong internal network at all levels of the organization. Actively champions a diverse external network of industry/analytics thought leaders
                                                    • +
                                                    • Ability to attract outstanding talent to the organization
                                                    • +
                                                    • Influences AI/AA and business strategy by contributing ideas that solve meaningful business problems
                                                    • +
                                                    • Seen as a thought leader throughout the business. Actively listens to others and ensures all voices are heard
                                                    • +
                                                    • Actively seeks out coaching opportunities and incorporates feedback into their work
                                                    • +
                                                    • Provides guidance and mentorship to Directors and Data Scientists
                                                    • +
                                                    • Promotes best practices within the team, and shares technical expertise with others
                                                    • +
                                                    • Incorporates lessons learned throughout the business into their work
                                                    -

                                                    [Not to be removed or modified – this is firm standard]

                                                    The next step is yours

                                                    -

                                                    Sound like The One Firm. For You? Apply by [insert date].

                                                    -

                                                    At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                    -

                                                    We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-23T18:14:04.907Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/105137070-data-engineer-azure-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,expired,2022-01-21T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -9091e704-9a17-4d8c-9ca5-04d7145d07eb,110312453,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2022-02-23T20:33:02.160Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -

                                                    -

                                                    Department Overview

                                                    -

                                                    Job Profile Summary

                                                    Collaborating with the Azure Application Support team and customers to provide insights, reporting and trends to the Cloud team and customers. The insights will drive continuous improvement and report on platform health. The candidate will be designing, developing, and maintaining business intelligence solutions. Crafting and executing queries upon request for data. Presenting information through reports and visualization leveraging a variety of tools such as ServiceNow, Tableau and PowerBI.

                                                    +

                                                    Key Shared Accountabilities:

                                                    +
                                                      +
                                                    • Connect closely with executives in Group Functions and collaborate with business teams to develop project opportunities and deliver business solutions
                                                    • +
                                                    • Partner with CAO, Segment AI/AA leaderships and Enterprise Model Risk Management to develop and deliver AI/AA governance and training
                                                    • +

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    Job Description

                                                    +

                                                    Job Requirements:

                                                      -
                                                    • Power BI/Tableau report development.
                                                    • -
                                                    • Building analysis services reporting models.
                                                    • -
                                                    • Developing visual reports, KPI scorecards, and dashboards using Power BI desktop and/or Tableau.
                                                    • -
                                                    • Connecting data sources, importing data, and transforming data for business intelligence.
                                                    • -
                                                    • Analytical thinking for translating data into informative reports and visuals.
                                                    • -
                                                    • Capable of implementing low-level security on data along with an understanding of application security layer models in Power BI.
                                                    • -
                                                    • Expert in using advanced-level calculations on the data set.
                                                    • -
                                                    • Responsible for design methodology and project documentaries.
                                                    • -
                                                    • Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.
                                                    • -
                                                    • Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.
                                                    • +
                                                    • Advanced degree in Statistics, Math, Computer Science, Actuary or Engineering; PhD is preferred.
                                                    • +
                                                    • A track of record in leading AI/AA implementation or other analytical solutions in Finance, Risk or Compliance
                                                    • +
                                                    • Comprehensive understanding and experiences in model governance
                                                    • +
                                                    • Generally, a minimum of 10 years of applicable experience in quantitative analyses
                                                    • +
                                                    • A track of record of dynamic leadership experience in leading AI/AA teams
                                                    • +
                                                    • An established expert in AI/AA fields
                                                    • +
                                                    • Advanced knowledge of programming languages and concepts (e.g. Python, R or SAS)
                                                    • +
                                                    • Specialist in different techniques and knowledge of machine learning algorithms
                                                    • +
                                                    • Advanced knowledge of common database querying languages such as SQL; Capability of applying a detailed, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights
                                                    • +
                                                    • Strong ability to identify key Advanced Analytics opportunities in business and deliver results
                                                    • +
                                                    • Strong ability to initiate and carry research discussions with academic research communities, convey Manulife’s interest in research agenda and gaining knowledge and collaboration for Manulife’s business
                                                    • +
                                                    • Continuous learning
                                                    • +
                                                    • Actively monitor new technologies
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -

                                                    Required Skills

                                                    +

                                                    Decision Authorities:

                                                      -
                                                    • Mandate to have experience with BI tools and systems such as Power BI and Tableau.
                                                    • -
                                                    • Experience with SeviceNow.
                                                    • -
                                                    • Must have 2-3years of experience in data-specific roles.
                                                    • -
                                                    • Knowledge in Microsoft BI Stack.
                                                    • -
                                                    • Grip over data analytics.
                                                    • -
                                                    • Should possess software development skills.
                                                    • -
                                                    • High level understanding of Azure as a service.
                                                    • -
                                                    • Knowledgeable with Datadog.
                                                    • -
                                                    • Knowledgeable with Azure App Insights.
                                                    • +
                                                    • Define AI/AA for Functions strategy and plan according to the overall AI/AA Strategy and roadmap, and deliver results
                                                    • +
                                                    • Define responsibilities for teams under his/her supervision.
                                                    • +
                                                    • Hiring decisions for levels from J to M for both technical and managerial roles
                                                    • +
                                                    • Works on significant and unique challenges in AI/AA fields that hold strategic value to advance Manulife’s business
                                                    • +
                                                    • Strong ability to influence leaders and teams in both AI/AA function and business units
                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/15030838/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-24T17:36:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/110312453-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15030838/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2022-02-23T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -55a3f817-6edd-4226-829b-f5deaf66721f,110104257,Accenture,Data Technical Lead,on_site,"British Columbia - Vancouver,Ontario - Toronto",2022-02-21T22:14:05.231Z,"

                                                    Job Description

                                                    Location: Toronto

                                                    +


                                                    If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                    +


                                                    About Manulife

                                                    +

                                                    Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2020, we had more than 37,000 employees, over 118,000 agents, and thousands of distribution partners, serving over 30 million customers. As of December 31, 2020, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, and in the previous 12 months we made $31.6 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 155 years. We trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                    +

                                                    Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                    ",,https://jobs.manulife.com/ShowJob/JobId/1146008/AVPFunctionsAdvancedAnalyticsStrategyGovernance,feed-importer@jobboard.io,,,,2021-06-14T21:56:09.070Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/67016546-avp-functions-advanced-analytics-strategy-governance-at-manulife,https://jobs.manulife.com/ShowJob/JobId/1146008/AVPFunctionsAdvancedAnalyticsStrategyGovernance,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Executive,PhD,New Posting, +bfb6772a-3ad3-40a8-b332-50017650bf37,67016551,Scotiabank,"GAFE Analyst, Financial Engineer Fall 2021 Co-op",on_site,Canada : Ontario : Toronto,2021-06-08T21:51:16.434Z,"

                                                    -

                                                    Are you ready to step up and take your technology expertise to the next level?

                                                    -

                                                    There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                                    -

                                                    We are Accenture Cloud First

                                                    -


                                                    Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                                    Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                                    +

                                                    Requisition ID: 105270

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    The Work

                                                    -


                                                    Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                                    -


                                                    Key Responsibilities:

                                                    + +

                                                    GAFE Analyst, Financial Engineer Fall 2021 Co-op

                                                    Fall 2021 (September to December)

                                                    +

                                                    Why work for Scotiabank?

                                                    -

                                                    • Application Design, Development and Support for Azure Data and AI Data analytics Platform
                                                    • Involved in designing and developing new solutions
                                                    • Lead the effort to design, build and configure applications, acting as the primary point of contact.
                                                    • Lead team for Azure Databricks, Azure Data Lake, PySpark and Synapse
                                                    • Responsible for Application Support and lead the role with offshore & on-shore teams
                                                    • Co-ordinate with the client resolving issues, implementing enhancement, and troubleshooting issues to come up with recommendations for the client

                                                    - -


                                                    -

                                                    Qualifications

                                                    -

                                                    3 years of experience in the following:

                                                    -

                                                    • Azure Data Lake
                                                    • Azure Data Bricks
                                                    • PySpark
                                                    • Synapse

                                                    +

                                                    Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                    +

                                                    This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                    +

                                                    +

                                                    Who We Are?

                                                    +

                                                    +

                                                    Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                    +

                                                    +

                                                    Your Work Term At a Glance

                                                    +

                                                    +

                                                    You’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                    +

                                                    +

                                                    As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                    +

                                                    +

                                                    Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                    +

                                                    +

                                                    Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers and analysts to learn from their experiences.

                                                    +

                                                    +

                                                    +

                                                    Responsibilities May Include:

                                                    +

                                                    +
                                                    • Assist the development and testing of cutting edge derivatives pricing models
                                                    • Build quantitative tools for trading and structuring desks
                                                    • Build and maintain infrastructure processes for new business lines;
                                                    • Ad hoc investigations for trading and marketing desks
                                                    • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                    • Provide support to the trading and sales desks
                                                    • +
                                                    +

                                                    +

                                                    +

                                                    Qualifications:

                                                    +

                                                    +
                                                    • Solid C++ programming skills, knowledge of Java, Python, Shell scripts, or Excel a plus
                                                    • Good math skills, knowledge of numerical methods and derivatives products a plus
                                                    • Strong analytic and problem solving skills
                                                    • Strong interpersonal skills, results oriented and a team player
                                                    • Ability to work well in a fast-paced environment with changing priorities
                                                    • Students should be currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                                    • Will be returning to school after the internship has concluded
                                                    • +
                                                    +

                                                    +

                                                    This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies.Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                    +

                                                    +

                                                    +

                                                    How do I Apply?

                                                    +

                                                    For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                                    +

                                                    1) Complete your PLUM Profile here

                                                    +

                                                    2) Save your PLUM Profile as PDF. Click here to learn how

                                                    +

                                                    3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                                    +

                                                    4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                                    +

                                                    Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                                    +

                                                    We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs

                                                    +

                                                    **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                                    +

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-GAFE-Analyst%2C-Financial-Engineer-Fall-2021-Co-op-ON/547242317/,feed-importer@jobboard.io,,,,2021-07-09T16:09:41.983Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/67016551-gafe-analyst-financial-engineer-fall-2021-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GAFE-Analyst%2C-Financial-Engineer-Fall-2021-Co-op-ON/547242317/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +3f2c8c1e-676a-4e68-b149-ac4f9113ffcc,67016572,Thomson Reuters,Senior Database Engineer,on_site,Toronto-Ontario-Canada,2021-06-08T21:51:19.577Z,"
                                                    +Job Description

                                                    As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                    -

                                                    Preferred Skills:

                                                    -

                                                    Certification: Azure Data Certification

                                                    -

                                                    Python

                                                    -
                                                    -

                                                    Locations

                                                    British Columbia - Vancouver,Ontario - Toronto
                                                    -
                                                    -
                                                    -

                                                    Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                    -
                                                    -

                                                    Equal Employment Opportunity Statement

                                                    -

                                                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                    -

                                                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                    -

                                                    Requesting An Accommodation

                                                    -

                                                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                    -

                                                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                    -

                                                    Other Employment Statements

                                                    -

                                                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                    -

                                                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00067089_en&title=Data+Technical+Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-02-24T17:36:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/110104257-data-technical-lead-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00067089_en&title=Data+Technical+Lead,expired,2022-02-21T22:14:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -b60349e8-7f95-4fa1-b47c-cb3a0d29f0dd,108421802,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2022-02-10T06:50:14.357Z,"
                                                    -
                                                    -
                                                    -

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    -

                                                    Role Summary

                                                    -

                                                    -

                                                    Canadian Group Benefits business within Sun Life is the largest private payer of healthcare in Canada with over 3 million members. Our goal is to help Canadians lead healthier lives through workplace benefit programs, ensure outstanding experience when they engage with Sun Life and equip them with tools to manage their health needs.

                                                    -

                                                    -

                                                    GB Strategy, Digital and Analytics (SDA) team has a mandate to work across functions to deliver insights critical for business decisions, identify growth opportunities and use data to improve health and financial outcomes. The team collaborates closely with Canadian Data & Analytics and Enterprise Services teams.

                                                    -

                                                    -

                                                    Reporting to Director, Data Science as Data Scientist, you will accelerate the growth and application of analytics in driving value across Group Benefits. The data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                    -

                                                    -

                                                    Sun Life views success in this role in demonstration of these key attributes:

                                                    -
                                                      -
                                                    • Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles.

                                                    • -
                                                    • An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing.

                                                    • -
                                                    • A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency.

                                                    • -
                                                    • Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., SAS, Python); data science techniques and concepts; working with structured data (SQL)

                                                    • -
                                                    • Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                    • -
                                                    -

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Apply best in breed data science including descriptive, predictive, machine learning and AI techniques from the design to implementation that impacts the business.

                                                    • -
                                                    • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                    • -
                                                    • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model

                                                    • -
                                                    • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                    • -
                                                    • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                    • -
                                                    • Champion and support diversity and inclusion

                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -
                                                      -
                                                    • 2+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                    • -
                                                    • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                    • -
                                                    • Proficient in using one or more statistical programming languages (i.e., SAS, Python) for data science

                                                    • -
                                                    • Effective and concise oral and written storytelling and insights communication skills

                                                    • -
                                                    • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                    • -
                                                    • Ability to document work and effectively prioritize documentation

                                                    • -
                                                    • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                    • -
                                                    -

                                                    -

                                                    Unique Requirements

                                                    - -

                                                    -

                                                    What’s in it for you?

                                                    -
                                                      -
                                                    • Competitive salary influenced by market range data

                                                    • -
                                                    • 15 days vacation per year

                                                    • -
                                                    • Remote work/ Hybrid Work environment

                                                    • -
                                                    • A friendly, collaborative and inclusive culture

                                                    • -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family

                                                    • -
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                    • -
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                    • -
                                                    -

                                                    -

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    -

                                                    Salary Range:

                                                    56,300/56 300 - 92,900/92 900

                                                    -

                                                    Job Category:

                                                    Advanced Analytics

                                                    -

                                                    Posting End Date:

                                                    27/02/2022
                                                    -
                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00054844?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-02-28T07:08:07.048Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/108421802-data-scientist-at-sun-life-financial,,expired,2022-02-10T06:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -44ab61d9-1155-40e0-9f4f-9717b997acdc,107915548,Loblaw Companies Ltd.,"Data Science, CO-OP",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-02-07T17:55:08.541Z,"
                                                    -
                                                    -
                                                    -

                                                    Referred applicants should not apply directly to this role.

                                                    -

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    -

                                                    -

                                                    The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Why is this role important?

                                                    -

                                                    Summer Student

                                                    -

                                                    Duration: May 9th, 2022 - Aug 19th, 2022

                                                    -

                                                    -

                                                    CO-OP - Data Science, Operations

                                                    -

                                                    -

                                                    Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    -

                                                    -

                                                    Job Description
                                                    The Data, Insights & Analytics (DI&A) team covers the data-focused spectrum from data governance and management through data engineering. We also cover the data analytics spectrum from ad-hoc database queries through to machine learning models. As Canada’s largest retailer, we are uniquely positioned to leverage data driven insights to deliver the needs of our customers. Our culture – Smart, Nice and Curious operates at the center of everything we do and is a critical part of who we are. Join us help Canadians live life well through the power of data, insights & analytics.

                                                    -

                                                    -

                                                    Why this role is important?

                                                    -

                                                    -

                                                    The Operational Analytics team is tightly connected with multiple groups across the business and analytics departments and is responsible for developing some core backbone technologies used by other groups. Working scope of this team is quite vast as it covers multiple use cases such as supply chain, merchandising, logistics, price optimization and labour optimization. The incumbent will be responsible for developing analytical models and creating actionable insights and recommendations while gaining in-depth knowledge of business operations.

                                                    -

                                                    -

                                                    Our team is working on 4 work-streams that are a part of the DIA bankable plan. The dynamics of the work-streams vary from period to period. In the past help and expertise provided by coop students were very valuable. The coop program at LCL also creates great opportunity to seek talent for full-time engagement.

                                                    -

                                                    -

                                                    What you will do:

                                                    +

                                                    As a Senior Database Engineer working with the latest technologies, Microsoft Azure has to offer you will be working with a global team of engineers to improve product and service delivery

                                                    +

                                                    +

                                                    About the Role

                                                    +

                                                    As a Sr. Database Engineer, you will:

                                                      -
                                                    • Extract and prepare data using a combination of different tools including SQL, Python and PySpark
                                                    • -
                                                    • Create Python programs and machine learning models to solve business needs
                                                    • -
                                                    • Support the gathering and documentation of business processes related to areas of opportunities
                                                    • -
                                                    • Uncover insights and build strategic recommendations that support objectives for the Inventory management team.
                                                    • -
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • +
                                                    • Build and Develop – Work practices and methods to ensure they are the best for the task allocated

                                                    • +
                                                    • Be a Team Player – work in a collaborative team-oriented environment, share information, value diverse ideas, partner with cross functional and remote teams

                                                    • +
                                                    • Be Curious & Innovative – continuously update yourself with next generation technology, development tools, and contribute to process development practices

                                                    • +
                                                    • Be an Agile Person – with a strong sense of urgency and a desire to work in a fast-paced dynamic environment to deliver solutions against strict timelines

                                                    • +
                                                    • Be an Effective Communicator – articulate complex technical issues, and share ideas, participate in peer-reviews, and exhibit strong listening skills

                                                    • +
                                                    • Take Ownership – responsible for performance, reliability and implement changes for improving the efficiency of a technical component

                                                    -

                                                    -

                                                    What you will bring:

                                                    +

                                                    +

                                                    About You

                                                    +

                                                    You’re a fit for the role of Sr. Database Engineer if you have:

                                                      -
                                                    • University degree or Master’s degree in an analytical field of study (e.g. Statistics, Economics, Computer Science, Engineering, Mathematics, Finance)
                                                    • -
                                                    • 1-3 years of experience working with large data sets and analytic tools
                                                    • -
                                                    • 1-3 years of experience with SQL and Python
                                                    • -
                                                    • Working knowledge of machine learning techniques, such as scikit-learn, Keras / Tensorflow
                                                    • -
                                                    • Experience with time-series is an asset
                                                    • -
                                                    • Data mining experience working with a large relational database is an asset
                                                    • -
                                                    • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                    • -
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • -
                                                    • Strong detail orientation is essential in this role
                                                    • -
                                                    • A team player and self-starter
                                                    • +
                                                    • 8 – 10 years of work experience in MS SQL & 4 – 5 years in Azure SQL database administration capacity.

                                                    • +
                                                    • Experience managing systems and databases hosted in the cloud (Azure/AWS), understanding of design patterns for scalability, performance and reliability.

                                                    • +
                                                    • Experience with Agile/Scrum development methodologies

                                                    • +
                                                    • Experience supporting 24/7 multi-tenant systems preferably for a SaaS application.

                                                    • +
                                                    • Working knowledge of database table partitioning techniques and processes.

                                                    • +
                                                    • Hands-on experience building and maintaining SQL Transactional Replication topologies

                                                    • +
                                                    • Exposure to SSIS and ETL processes

                                                    • +
                                                    • Strong understanding of database encryption technologies, database structures, principles and best practices.

                                                    • +
                                                    • Strong working experience with SQL Server

                                                    • +
                                                    • Experience working with cross functional and remote teams

                                                    • +
                                                    • Self-driven and resourceful to achieve goals independently as well as work well in groups

                                                    • +
                                                    • Experience with test-driven development and automated testing frameworks

                                                    • +
                                                    • Eager to learn and willing to take initiatives

                                                    • +
                                                    +

                                                    +

                                                    Preferred qualifications:

                                                    +
                                                      +
                                                    • Bachelor’s degree in computer science or equivalent experience

                                                    • +
                                                    • Interest or experience coaching junior and mid-level engineers

                                                    • +
                                                    • Strong DevOps focus, and working experience knowledge with technologies like Azure native database and ETL technologies.

                                                    • +
                                                    • Clear understanding of ITIL and ITSM

                                                    • +
                                                    +

                                                    +

                                                    What’s in it For You

                                                    +

                                                    You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                    +
                                                      +
                                                    • COVID-19 Response: Currently working remotely and following local COVID-19 bylaws and guidelines with the majority of our offices being remote until July 2021. Upon return, we will be embracing a hybrid work environment consisting of in-office and remote work

                                                    • +
                                                    • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                    • +
                                                    • Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                    • +
                                                    • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                    • +
                                                    • Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                    +

                                                    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                    +

                                                    We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                    -

                                                    How You’ll Succeed:

                                                    -

                                                    At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                    -

                                                    If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                    -

                                                    -

                                                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Temporary (Fixed Term)

                                                    -

                                                    Type of Contract:

                                                    Intern

                                                    -

                                                    -

                                                    -

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                    +

                                                    Accessibility

                                                    +

                                                    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                    +

                                                    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                    -

                                                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                    +

                                                    More information about Thomson Reuters can be found on thomsonreuters.com.

                                                    +

                                                    Locations
                                                    Toronto-Ontario-Canada
                                                    ",,https://jobs.thomsonreuters.com/ShowJob/Id/524925/Senior-Database-Engineer/?SourceID-APPLICANT_SOURCE-3-713,feed-importer@jobboard.io,,,,2021-06-17T21:56:04.828Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/67016572-senior-database-engineer-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/524925/Senior-Database-Engineer/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +24b54fee-a811-4ddb-84d0-523e3eef1625,67016590,BenchSci,"Senior Data Engineer, R&D",on_site,"Toronto, Ontario /",2021-06-08T21:51:25.886Z,"
                                                    +
                                                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                    +

                                                    +
                                                    We are currently seeking a Senior Data Engineer, R&D to join our Machine Learning team. Reporting to the Engineering Manager, you will work on creating the data infrastructure that supports BenchSci’s supervised learning pipeline for the R&D problems that we are solving. In this role, you will work closely with domain experts and ML engineers in the earliest stages of building a new feature through domain modelling, data preparation, feature engineering, and rapid prototyping of heuristics or baseline models. Success will be measured by the continuous improvement of our model quality through a data-centric approach to model training, as well as the velocity with which we can ship new R&D features.
                                                    +

                                                    +
                                                    This position is open to candidates who would like to work remotely (outside of the GTA) or in-person at our Toronto office (post-COVID). For candidates who will be working within the GTA once we return to the office, we will continue to have ongoing remote flexibility of up to 4 days per week (department dependent).
                                                    +
                                                    +

                                                    You will:

                                                    +
                                                        +
                                                      • Collaborate closely with ML and domain experts to solve interesting and challenging problems with respect to extracting ground truth data to train high-quality models
                                                      • +
                                                      • Employ best practices in modern machine learning workflows within a cloud-based environment
                                                      • +
                                                      • Set the baseline performance to beat by the rapid development of specialized heuristics or baseline models
                                                      • +
                                                      • Analyze and evaluate our data sets across the ML lifecycle to ensure they are fit for purpose for both labeling and model training
                                                      • +
                                                      • Work on projects involving some of the largest pharmaceutical companies in the world
                                                      • +
                                                      • Provide troubleshooting analysis and resolution in a timely manner
                                                      • +
                                                      • Have opportunities to work both independently and in pair-programming settings
                                                      • +
                                                      • Be given an unmatched opportunity for growth and development, and to learn from a team of outstanding engineers
                                                      • +
                                                    +
                                                    +

                                                    You have:

                                                    +
                                                        +
                                                      • 4+ years of experience working as a professional developer
                                                      • +
                                                      • Expertise in Python and programming fundamentals
                                                      • +
                                                      • Expertise in intermediate/advanced SQL and BigQuery or similar serverless data warehousing solutions
                                                      • +
                                                      • Experience with statistical analysis of datasets
                                                      • +
                                                      • Experience with cloud reference architectures for common patterns in data pipelines
                                                      • +
                                                      • Strong cross-team communication and collaboration skills
                                                      • +
                                                    +
                                                    +

                                                    Nice to haves, but not mandatory qualifications:

                                                    +
                                                        +
                                                      • A background in Life Science
                                                      • +
                                                      • Working knowledge of data versioning tools such as DVC for machine learning
                                                      • +
                                                      • Working knowledge of distributed systems and data processing fundamentals
                                                      • +
                                                      • Knowledge of distributed data processing abstractions like Beam or Spark
                                                      • +
                                                      • Working knowledge of machine learning data fundamentals such as data splits, training-serving skew, common data representations such as embeddings or multi-hot encodings, sampling strategies for active learning
                                                      • +
                                                      • Working knowledge of how to evaluate classification model quality, such as precision, recall, F1, PR/ROC curves
                                                      • +
                                                    +
                                                    +

                                                    Our benefits and perks:

                                                    +
                                                        +
                                                      • A compensation package that includes equity options in the company
                                                      • +
                                                      • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
                                                      • +
                                                      • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
                                                      • +
                                                      • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
                                                      • +
                                                      • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
                                                      • +
                                                      • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
                                                      • +
                                                      • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
                                                      • +
                                                      • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
                                                      • +
                                                      • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
                                                      • +
                                                      • A great benefits package: Including health and dental
                                                      • +
                                                    +
                                                    +

                                                    +

                                                    +
                                                    Our Culture:
                                                    +
                                                    We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                    +

                                                    +
                                                    Diversity, Equity and Inclusion:
                                                    +
                                                    We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                    +

                                                    +
                                                    Accessibility Accommodations:
                                                    +
                                                    BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                    +
                                                    ",,https://jobs.lever.co/benchsci/ce28aef1-b8d4-46f7-8f4a-934b87d819bd?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2021-06-28T22:11:40.101Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67016590-senior-data-engineer-r-d-at-benchsci,https://jobs.lever.co/benchsci/ce28aef1-b8d4-46f7-8f4a-934b87d819bd,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +8bcd247b-1ca9-4212-9c1d-ab3d9e99daa1,67016609,Deloitte,"Senior Consultant, Healthcare Data Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-08T21:51:38.053Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +

                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science--CO-OP_R2000226557?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-02-28T18:05:09.761Z,False,0,10,61,https://talenthub.vectorinstitute.ai/jobs/107915548-data-science-co-op-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science--CO-OP_R2000226557?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-02-07T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, -310ebf07-e037-4590-a014-054143ba1bfe,108415027,Vector Institute,"Data Analyst & Visualization Intern Academic Partnerships · Toronto, Ontario",on_site,"Ontario, Canada",2022-02-10T06:29:08.486Z,"
                                                    -

                                                    POSITION OVERVIEW

                                                    -

                                                    -

                                                    The Data Analyst & Visualization Intern will have the opportunity to gain real-world experience in data analysis and visualization at a leading research institute. The objectives of this role are to analyze large amounts of data and assist with identifying and visualizing key metrics within the data to support our objectives around workforce development and research excellence. Reporting to the Program Manager, Student Engagement, you will play a key role in ensuring the goals of the Academic Partnership team around data analysis and benchmarking are met.

                                                    -

                                                    -

                                                    Start date: May 2022

                                                    -

                                                    -

                                                    APPLIED INTERNSHIPS AT VECTOR

                                                    -

                                                    -

                                                    The purpose of the applied internship stream for Black and Indigenous students and postdocs is to accelerate and expand access to knowledge of AI by providing relevant, hands-on learning and work experience in machine learning and AI. It is designed to meet the criteria of Special Programs in line with the values of the Ontario Human Rights Code, and specifically to assist disadvantaged and underrepresented groups to achieve equal opportunity in the field of AI.

                                                    -

                                                    -

                                                    Interns will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Summer academic term (mid-May to end of August) with an opportunity to continue over the Fall 2022 academic term.

                                                    -

                                                    -

                                                    KEY RESPONSIBILITIES

                                                    -

                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    +
                                                    +
                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    +

                                                    Our Data & Analytics Modernization team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    About the team

                                                    +

                                                    +
                                                    +
                                                    +

                                                    As a Consultant / Senior Consultant in our Life Sciences and Healthcare Practice, you will specialize in Health Informatics, contributing to a portfolio of Deloitte’s Omnia AI Data Analytics and Modernization projects. The role includes working collaboratively within a team to support health data modernization efforts in the life sciences and healthcare sector, leading projects in cloud data transformations and data strategies, enabling patient centricity in healthcare organizations as well as claims modernization, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                                    +

                                                    In this role, you will –
                                                    Offer expertise in Artificial Intelligence and Data/Analytics Modernization
                                                    • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                                    • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                                    • Support health data modernization efforts in the public and private sectors, by working hands on with health data in cloud data transformation, data strategies as well as claims modernization
                                                    • Lead the end-to-end execution of health system modernization and the design of data architectures, working hand-on to build and implement customized health solutions

                                                    +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    +

                                                    +
                                                    +
                                                    +

                                                    You are someone who is :

                                                    +
                                                    • 4-6 years in industry or consulting experience in a technical role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                                    • Overall understanding of health information management in healthcare and life sciences organizations (e.g. clinical, pharmaceutical, public health/government, retail pharmacies)
                                                    • Understanding of key data domains, data value chain, and information flow in healthcare and life sciences
                                                    • Ability to develop tailored data models and architecture encompassing clinical and non-clinical data, and data modelling and architecture documentation
                                                    • Health Interoperability Standards (e.g. HL7, FIHR)
                                                    • Experience with software systems such as Salesforce, SAP, Workday and SuccessFactors is desirable
                                                    • Must be eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level
                                                    • Some Canadian travel will be required; candidates must also be able to enter the USA to work on client assignments
                                                    • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                                    • Completed Undergraduate degree in a engineering/Analytics or related field; Master’s or PhD degrees and any recognized professional certifications would be an asset
                                                    • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    +

                                                    +

                                                    Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,feed-importer@jobboard.io,,,,2021-07-09T16:18:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67016609-senior-consultant-healthcare-data-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-Healthcare-Data-Engineer%2C-Omnia-AI-ON-M5C-3G7/746861700/,expired,2021-06-08T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +6ec4bf98-a4ca-4740-806a-fe29c8a18743,67016824,RBC,Data Engineer (Ampli),on_site,"Toronto, Ontario, Canada",2021-06-08T21:53:17.155Z,"
                                                    +

                                                    RBC is changing how people think about and interact with the bank on a daily basis. We want to be more than just transactional and episodic, and are finding new and innovative ways to be an essential part of everyone’s daily life.

                                                    +

                                                    At RBC Ventures we think and act like start-ups – exploring new ideas that are often completely unrelated to traditional banking products.

                                                    +

                                                    +

                                                    What is the opportunity?

                                                    +

                                                    Ampli, an RBC Venture, is a free cash back app focused on helping Canadians get rewarded for their everyday purchases. We are hiring a Data Engineer to help solve some of our toughest data challenges. Ampli is building a platform and pipeline with data from multiple internal and external sources, creating semantic layers, managing large data sets, and working with machine learning and algorithmic technologies to create a model runtime for real time event processing and interactions.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • Identify and develop data structures and tools for data collection and analysis relating to mapping the end-to-end AI talent pipeline in Ontario;
                                                    • -
                                                    • Using AI-employment related data, analyze key trends relating to the supply and demand for AI-talent and desired skill sets in Ontario;
                                                    • -
                                                    • Aggregate and analyze existing data to benchmark and produce trends and insights on AI talent in Ontario, such as curriculum competencies and graduate outcomes
                                                    • -
                                                    • Mine data from internal sources and organize this data for trends analysis;
                                                    • -
                                                    • Generate concise reports on high-level insights;
                                                    • -
                                                    • Generate meaningful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights;
                                                    • -
                                                    • - Other duties as assigned. -
                                                    • +
                                                    • Support the build out of a data platform
                                                    • +
                                                    • Work with stakeholders including the Marketing, Product, Data and Development teams with data-related technical initiatives and support their data engineering needs
                                                    • +
                                                    • Build and manage large-scale batch and real-time data pipelines using the latest technologies
                                                    • +
                                                    • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                                    • +
                                                    • Leverage best practices in continuous integration and delivery
                                                    • +
                                                    • Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality
                                                    • +
                                                    • Explore new capabilities and technologies to drive innovation
                                                    -

                                                    -

                                                    SUCCESS MEASURES

                                                    -

                                                    +

                                                    +

                                                    The ideal candidate will have experience with:

                                                      -
                                                    • Data trends identified and mapped to help assess and benchmark AI talent in Ontario.
                                                    • -
                                                    • Reports generated on high-level insights.
                                                    • -
                                                    • Data visualizations/interactive dashboards created are accessible, highlight key outcomes, and integrate well with data inputs.
                                                    • +
                                                    • Dealing with structured and unstructured data sets, data analytics and big data pipelines and infrastructure
                                                    • +
                                                    • Designing and implementing data infrastructure to house large sets of consumer and transaction data leveraging AWS platform services
                                                    • +
                                                    • Supporting Amazon Web Services, Google Cloud Platform, Microsoft Azure, or related cloud platforms
                                                    • +
                                                    • Implementing and supporting data pipelines for extraction, transformation, and modeling from a wide variety of data sources using SQL, NoSQL, GraphQL, SAAS APIs, and related technologies
                                                    • +
                                                    • Preparing analytical datasets to support data modeling and machine learning use cases
                                                    • +
                                                    • Leveraging strong computer science fundamentals with experience building highly secure, production-ready applications
                                                    • +
                                                    • Communicating effectively to sell stakeholders on proposed actions and solutions
                                                    -

                                                    -

                                                    PROFILE OF THE IDEAL CANDIDATE

                                                    -

                                                    +

                                                    +

                                                    The superlative candidate will have experience with:

                                                      -
                                                    • You are a self-identified Black or Indigenous student or postdoc studying at a Canadian post-secondary institute (university or college) or a recent graduate
                                                    • -
                                                    • You have experience using Excel, SQL and data visualization tools such as Google Data Studio or Tableau. Familiarity with Python would be an asset but not required.
                                                    • -
                                                    • You are comfortable comparing, compiling, organizing and analyzing statistical information to identify patterns, relationships and problems
                                                    • -
                                                    • You have experience conducting statistical analyses such as correlations, regressions, and factor analyses
                                                    • -
                                                    • You are able to summarize meaningful insights resulting from data in different forms and for various audiences, including the business implications of findings
                                                    • -
                                                    • You have a keen interest in the field of artificial intelligence
                                                    • -
                                                    • - You have experience with designing, building, or maintaining data systems and pipelines -
                                                    • -
                                                    • You understand the limits and constraints associated with data usage (e.g. privacy concerns, challenges associated with unstructured or unlabelled data)
                                                    • -
                                                    • You are organized and efficient, with strong problem-solving skills
                                                    • -
                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                    • -
                                                    • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture
                                                    • -
                                                    • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem
                                                    • -
                                                    • You are familiar with GSuite and MS Office 365
                                                    • +
                                                    • Experience in the marketing analytics space
                                                    • +
                                                    • Familiarity with common data science techniques and models
                                                    • +
                                                    • Experience working with large financial institutions
                                                    • +
                                                    • Experience with Apache Airflow, AWS Glue, AWS RedShift, AWS EMR, Tableau, Metabase, or related big data tools
                                                    • +
                                                    • Experience with AWS Kinesis Firehose, AWS Kinesis Streams, and AWS SageMaker, or equivalent data / machine learning services
                                                    -

                                                    Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. The deadline for submission is February 27, 2022. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                    -

                                                    -

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. As a program designed to meet the criteria of Special Programs in line with the values of the Ontario Human Rights Code, and specifically to assist disadvantaged and underrepresented groups to achieve equal opportunity in the field of AI, this role is seeking applications from Black and Indigenous students studying at a Canadian post-secondary institution or recent graduates.

                                                    -

                                                    -

                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=168&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-02-28T08:09:00.000Z,False,0,12,141,https://talenthub.vectorinstitute.ai/jobs/108415027-data-analyst-visualization-intern-academic-partnerships-toronto-ontario-at-vector-institute,,expired,2022-02-10T06:29:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, -bf91654b-ffaf-4750-8a29-dfd1c90ee4af,108519388,Vector Institute,Research Internships for Black & Indigenous Students at Vector Institute,on_site,"Ontario, Canada",2022-02-10T20:09:56.350Z,"
                                                    -

                                                    Are you looking for a dynamic internship this summer where you can gain hands-on experience in machine learning and deep learning? The Vector Institute for Artificial Intelligence is launching internships for Black & Indigenous post-secondary students across Canada. APPLICATIONS ARE NOW OPEN!

                                                    -

                                                    As a Research Intern at Vector Institute, you will work alongside world-renowned Vector faculty on machine learning and deep learning research projects in areas such as: reinforcement learning, privacy, neural networks, optimization and more. Projects include:

                                                    +

                                                    +

                                                    RBCVentures

                                                    +

                                                    +

                                                    +

                                                    JOB SUMMARY
                                                    City: Toronto
                                                    Address: 88 Queens Quay West
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Position Level: PL08
                                                    Required Travel (%): 0-25
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: Yes
                                                    Application Deadline: 06/17/2021
                                                    Req ID: 363224

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-18T20:00:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/67016824-data-engineer-ampli-at-rbc,https://jobs.rbc.com/ca/en/job/363224/Data-Engineer-Ampli,expired,2021-06-08T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +04884ea8-eaad-4cd0-a00d-acfb45c38a3c,67016829,RBC,Data Engineer,on_site,"Mississauga, Ontario, Canada",2021-06-08T21:53:19.038Z,"
                                                    +

                                                    What is the opportunity?

                                                    +

                                                    We are looking for a data engineering expert to join our growing team of analytics. You will be responsible for expanding and optimizing our data pipeline architecture with real time streaming and continuous integration/deployment architecture.

                                                    +

                                                    The ideal candidate is an experienced data pipeline builder and job automation expert who enjoys optimizing data systems and building them from the ground up. As Data Engineer you will work with our technology partners to implement API interfaces to automate data ingestion and extracts. You will lead a strategy to deploy ML and other analytical models into production.

                                                    +

                                                    +

                                                    What will you do?

                                                      -
                                                    • -Training binary neural networks through the lens of statistical mechanics: Binary neural networks (BNN) reduce memory storage, network complexity, and energy consumption by using 1-bit activations and weights. However, their training remains challenging. In this project, we will explore training BNNs using methods inspired by statistical physics and quantum mechanics.
                                                    • -
                                                    • -High level: An Effective Hardware Utilization Squeezer for Exploring Novel Deep Learning Models: We are looking for interns to help with the continuous work on Horizontally Fused Training Array (HFTA) among several potential aspects: 1) building a model architecture framework that natively supports HFTA; 2) investigating and improving the performance of horizontally fused operators and their kernels; 3) investigating the applicability of HFTA in less well-established ML/DL domains (e.g., graph neural nets).
                                                    • -
                                                    • -Beyond federation for collaborative learning with privacy: In federated learning (FL), data does not leave personal devices when they are jointly training a machine learning model. Prior work still largely underestimates the vulnerability of FL. In this project, we will introduce active and dishonest attackers to modify weights, consider mitigations and other defenses. A significant redesign of FL is required for it to provide any meaningful form of data privacy to users.
                                                    • -
                                                    • -How to make sense of the probabilistic predictions of modern neural architectures? What does it mean when your neural network makes a probabilistic prediction, e.g. an object in a test image is a dog with 75% of chance, a cat with 10% of chance, or a tiger with 15% of chance? We aim to understand and possibly re-calibrate such probabilistic estimates so that they indeed conform to our intuition and carry meaningful information that can be tested and compared.
                                                    • -
                                                    • -Non-convex optimization and sampling: Non-convex optimization and sampling are building blocks in modern machine learning due to the structural properties of popular statistical models. Owing to their key role and empirical success in numerous learning tasks, they have been a major focus of recent research. Many important characteristics of machine learning models such as generalization and fast-trainability are inherited from these non-convex methods; thus, a good understanding of these algorithms are crucial.
                                                    • -
                                                    • -Decision-Aware Model-based Reinforcement Learning: Model-based Reinforcement Learning (MBRL) is a promising approach to design sample efficient agents. This project explores new approaches to MBRL with a focus on learning models that incorporate the decision problem in the model learning process itself, and planners that are robust to errors in the model.
                                                    • +
                                                    • Developing & maintaining Extraction, Transformation and Loading (ETL) mechanism by using open source technologies such as Apache Spark & Hadoop Stack
                                                    • +
                                                    • Develop and support real-time streaming data pipelines
                                                    • +
                                                    • Automate, streamline and optimize data load jobs using schedulers and other techniques
                                                    • +
                                                    • Design and Develop API interfaces to extract and share data with other applications
                                                    • +
                                                    • work closely with fellow Data Engineers, Data Scientists and Business to productionize end to end analytic solutions from heterogeneous data sources on premise data lakes or cloud platforms
                                                    • +
                                                    • Collaborate with Contact Centre Technology and Product teams to ingest new and evolve existing shared data into the enterprise data lake that enables the Analytics team to perform proactive analytics
                                                    • +
                                                    • Maintain Architecture diagrams and other artefacts
                                                    -

                                                    -

                                                    Who should apply?

                                                    +

                                                    +

                                                    What do you need to succeed?

                                                    +

                                                    Must-have

                                                      -
                                                    • You are a self-identified Black or Indigenous student (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit);
                                                    • -
                                                    • You are studying in a STEM program (Science, Technology/Computer Science, Engineering, Math) at the undergraduate, master’s or PhD level;
                                                    • -
                                                    • You have at a minimum completed your second year of an undergraduate program at a Canadian university; and
                                                    • -
                                                    • You have completed an Intro to Machine Learning Course.
                                                    • +
                                                    • 2 years of minimum experience working as a Data Engineer and expert level in Python/Spark
                                                    • +
                                                    • Experience with big data technologies such as HDFS, Apache Spark, Ranger, Hive, Ambari
                                                    • +
                                                    • Experience in Job scheduling tools like Airflow and NIFI
                                                    • +
                                                    • Experience in Streaming data applications such as Kafka Streams, Elastic, Apache Flink, Spark Streaming, Apache Beam
                                                    • +
                                                    • Experience in ML Ops/Dev Ops
                                                    • +
                                                    • Experience in building CI/CD pipeline tools (Docker, Jenkins, Urban code, open shift etc.)
                                                    -

                                                    -

                                                    More details on eligibility requirements can be found on our website.

                                                    -

                                                    -

                                                    Ready to apply?

                                                    -

                                                    Check out the Research Internship projects available on Vector’s website. Learn every day with research and commercialization talks and opportunities to build your network in AI. The application deadline is February 23rd, 2022. Learn more & apply today!

                                                    -

                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                    -

                                                    ",,https://vectorinstitute.ai/ml-classes-and-internships-for-black-indigenous-students/,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-02-28T08:09:00.000Z,False,0,13,153,https://talenthub.vectorinstitute.ai/jobs/108519388-research-internships-for-black-indigenous-students-at-vector-institute-at-vector-institute,,expired,2022-02-10T20:09:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, -4a1cd636-9ac5-468f-a53d-93df5db5b18e,109238075,Scotiabank,Data Strategist,on_site,"Toronto, ON, Canada",2022-02-16T16:14:50.405Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    Purpose:

                                                    -

                                                    -

                                                    As a Data Strategist in Global Data and Analytics Team, you will help integrate analytics capabilities into the Bank’s digital products and by developing and implementing data strategies that will help improve customer experience.

                                                    -



                                                    What will you do in this role?

                                                    -



                                                    • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
                                                    • Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                                    • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
                                                    • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
                                                    • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
                                                    • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
                                                    • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
                                                    • Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
                                                    • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
                                                    • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
                                                    • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

                                                    -



                                                    Are you the right person for the role?

                                                    -


                                                    • You have a strong business acumen, and you excel at developing and communicating analytics insights
                                                    • You are not afraid to challenge the status quo
                                                    • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                                                    • You can pivot and adapt to change
                                                    • You spend your free time tinkering with new technologies or building apps on the side
                                                    • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
                                                    • You have a high aptitude for diving in, taking ownership and picking up new things
                                                    • You're eager to mentor, teach and share your ideas in a team environment
                                                    • You have open and transparent communication style, including the ability to distil technical details into human terms

                                                    -

                                                    Do you have the skills that will enable you to succeed in this role?

                                                    -


                                                    • You have 5+ years of experience with data management, performance measurement and stakeholder management
                                                    • You have a university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                                                    • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
                                                    • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                    • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
                                                    • Being proficient in one or more statistical programming languages (eg. Python, R) and having practical experience with data science tools and libraries (eg. scikit-learn, Pandas, NumPy, Git etc.) is desirable.
                                                    • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, ensemble methods, classification, regression, clustering, NLP, time series forecasting, etc.)
                                                    • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
                                                    • You have experience using visualization tools like Power BI, Tableau or QlikView
                                                    • You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
                                                    • Strong project management and communication skills (both oral and written).
                                                    • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.

                                                    -

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-ON-M5A3X5/554460417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-02-28T23:59:00.000Z,False,0,0,21,https://talenthub.vectorinstitute.ai/jobs/109238075-data-strategist-at-scotiabank,,expired,2022-02-16T16:14:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -95cef260-e55e-41ba-b3f9-b4db9459f0f8,110830518,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-02-25T20:33:06.949Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                    -

                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                    -

                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    -

                                                    About this Role

                                                    -

                                                    While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                                                    -

                                                    We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                    -

                                                    As a Data Scientist II, these are the essential qualifications of this role:

                                                    +

                                                    +

                                                    Nice-to-have

                                                      -
                                                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                    • -
                                                    • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                    • -
                                                    • Design and deliver enterprise analytic solutions for customers
                                                    • -
                                                    • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                    • -
                                                    • Build complex statistical models that learn from and scale to petabytes of data.
                                                    • -
                                                    • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                    • -
                                                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                    • -
                                                    • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                    • -
                                                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                    • +
                                                    • Familiarity with Contact Centre technology and business
                                                    • +
                                                    • Conceptual knowledge in Machine Learning Algorithms and Text Analytics
                                                    • +
                                                    • Experience with cloud platforms solution such as SnowFlake, DataBricks, Azure Data Factory, AWS Glue/Lambda, RedShift, Azure DW
                                                    • +
                                                    • Experience in Agile PM Methodology and proficiency in tools like Asana and Confluence
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    +

                                                    +

                                                    What’s in it for you?

                                                    +

                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                      -
                                                    • Undergraduate degree or technical certificate
                                                    • -
                                                    • Seven (7) or more years of relevant experience
                                                    • +
                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                    • +
                                                    • Leaders who support your development through coaching and managing opportunities
                                                    • +
                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                    • +
                                                    • Flexible work/life balance options
                                                    • +
                                                    • Opportunities to take on progressively greater accountabilities
                                                    • +
                                                    • Opportunities to building close relationships with business partners
                                                    +

                                                    +

                                                    +

                                                    +

                                                    Join our Talent Community
                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                    JOB SUMMARY
                                                    City: Mississauga
                                                    Address: 6880 Financial Dr
                                                    Work Hours/Week: 37.5
                                                    Work Environment: Office
                                                    Employment Type: Permanent
                                                    Career Level: Experienced Hire/Professional
                                                    Pay Type: Salary + Variable Bonus
                                                    Required Travel (%): 0
                                                    Exempt/Non-Exempt: N/A
                                                    People Manager: No
                                                    Application Deadline: 06/18/2021
                                                    Platform: Global Functions

                                                    Req ID: 368683
                                                    Ad Code(s):

                                                    +

                                                    +

                                                    +
                                                    ",,https://jobs.rbc.com/ca/en/job/368683/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-10T21:58:04.451Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/67016829-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/368683/Data-Engineer,expired,2021-06-08T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +9d16d3a9-1168-4b35-bb4f-dbf4d9e970ea,67139628,Deloitte,"Machine Learning Operations (ML Ops) Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-09T21:51:11.934Z,"
                                                    +

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Ottawa; Vancouver

                                                    +

                                                    Be encouraged to deepen your technical skills…whatever those may be

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching

                                                    +

                                                    Be empowered to lead and have impact with clients, our communities and in the office

                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/14966570/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-03T20:38:08.601Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/110830518-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14966570/data-scientist-ii-toronto-ca/,expired,2022-02-25T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -e3dc488b-de06-43f6-ad55-e07c5003c5c7,110090699,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-02-21T17:57:03.453Z,"
                                                    -
                                                    -
                                                    -

                                                    Referred applicants should not apply directly to this role.

                                                    -

                                                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                    -

                                                    -

                                                    -

                                                    Location:

                                                    1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                    -

                                                    -

                                                    Inspired by food? Committed to excellent service? So are we.
                                                    At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                    We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                    Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                    -

                                                    -

                                                    Why is this role important?

                                                    -

                                                    -

                                                    Why This Role is Important:

                                                    -

                                                    -

                                                    Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                    -

                                                    If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                                    -

                                                    The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                    -

                                                    -

                                                    What You'll Do:

                                                    -
                                                      -
                                                    • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                    • -
                                                    • Support initiatives to make business partners more self-sufficient.
                                                    • -
                                                    • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                                    • -
                                                    • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                                    • -
                                                    • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                                    • -
                                                    • Analyze data to help determine insights to solve business problems or identify new opportunities
                                                    • -
                                                    • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                                    • -
                                                    • Actively identify and execute initiatives to improve process and data infrastructure
                                                    • -
                                                    • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                    • -
                                                    • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                    • -
                                                    • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                                    • -
                                                    • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                                    • -
                                                    -

                                                    -

                                                    What You'll Bring:

                                                    -
                                                      -
                                                    • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                                    • -
                                                    • Programming skills with SQL, Python, PySpark
                                                    • -
                                                    • In-depth knowledge of predictive modelling, machine learning modelling
                                                    • -
                                                    • Experience in utilizing advanced SQL data extraction and manipulation tools
                                                    • -
                                                    • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                                    • -
                                                    • Retail analytics experience with a marketing focus preferred
                                                    • -
                                                    • In-depth knowledge of pattern recognition models is an asset.
                                                    • -
                                                    • Data mining experience working with a large relational customer database
                                                    • -
                                                    • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                    • -
                                                    • Ability to take initiative, multi-task and work in a fast-paced environment
                                                    • -
                                                    • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                    • -
                                                    • Strong detail orientation is essential in this role
                                                    • -
                                                    • A team player and self-starter
                                                    • -
                                                    • Advanced MS Office skills (Excel, Word)
                                                    • -
                                                    -

                                                    -

                                                    COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                    -

                                                    -

                                                    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                                    -

                                                    -

                                                    -

                                                    -

                                                    At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Employment Type:

                                                    Full time

                                                    -

                                                    -

                                                    Type of Role:

                                                    Regular

                                                    Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                    -

                                                    -

                                                    Please Note:  
                                                    Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                    -
                                                    -
                                                    ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-03-03T18:05:11.274Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/110090699-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-02-21T17:57:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Entry Level,Bachelors Degree,New Posting, -d0e39c46-1b50-463d-b1bc-4726b081e347,106036093,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-01-27T20:33:05.516Z,"
                                                    -

                                                    Company Overview

                                                    -
                                                    -

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    -

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    -
                                                    -

                                                    -

                                                    Department Overview

                                                    -
                                                    -

                                                    The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                    The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                    -

                                                    The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO)

                                                    -
                                                    -

                                                    -

                                                    Job Description

                                                    -
                                                    -

                                                    Reporting to the Senior Manager, the incumbent is accountable for EDGO Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                    -

                                                    Accountabilities Include:

                                                    -
                                                      -
                                                    • Coordinate the data processes and streams within the active Projects for existing and new data created;

                                                    • -
                                                    • Coordinate data governance & management activities across project/PODs and LOBs

                                                    • -
                                                    • Supports completion of the Data Impact Assessment throughout the project Life Cycle

                                                    • -
                                                    • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;

                                                    • -
                                                    • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;

                                                    • -
                                                    • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;

                                                    • -
                                                    • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;

                                                    • -
                                                    • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;

                                                    • -
                                                    • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;

                                                    • -
                                                    • Participate in Business Bank’s Segment Data Council meetings;

                                                    • -
                                                    • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;

                                                    • -
                                                    • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                    • -
                                                    -
                                                    -

                                                    -

                                                    Requirements

                                                    -
                                                    -

                                                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                    -
                                                      -
                                                    • Sound knowledge of Data Life Cycle Management Requirements and processes

                                                    • -
                                                    • Experience working on data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;

                                                    • -
                                                    • Knowledge of Business Bank data and systems considered an asset;

                                                    • -
                                                    • Experience working on data integration/Conversion projects or large scale, complex technology projects using formal project delivery methodology;

                                                    • -
                                                    • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams

                                                    • -
                                                    • Excellent relationship management skills;

                                                    • -
                                                    • Excellent oral and written communication and presentation skills;

                                                    • -
                                                    • Strong organizational awareness;

                                                    • -
                                                    • Strong attention to detail and well-organized to manage large amounts of information and details

                                                    • -
                                                    • Superior negotiation and creative problem-solving skills

                                                    • -
                                                    -
                                                    -

                                                    -

                                                    Additional Information

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -

                                                    Hours

                                                    -
                                                    37.5
                                                    -

                                                    -

                                                    Inclusiveness

                                                    -

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    -

                                                    -
                                                    ",,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-02T14:44:11.031Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/106036093-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,expired,2022-01-27T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6382ce15-e413-4432-a8f0-cbe8a16334e8,111184574,Sun Life Financial,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2022-02-28T07:03:06.714Z,"
                                                    -
                                                    -
                                                    -

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    -

                                                    -

                                                    -

                                                    Job Description:

                                                    -

                                                    -

                                                    Role Summary

                                                    -

                                                    -

                                                    This role reports to AVP, Advanced AI Initiatives in Business Excellence. Business Excellence leads transformation in Canadian Operations at Sun Life. This role will work with a team of data scientists to pioneer creating new AI capabilities to help improve business outcomes across Sun Life’s Canadian Operations.

                                                    -

                                                    -

                                                    What will you do?

                                                    -
                                                      -
                                                    • Work with multidisciplinary teams with different business and technical backgrounds to identifying cutting edge AI solutions that might be applicable to our business problems

                                                    • -
                                                    • Preparing datasets, training models and fine-tuning models to extract actionable insights from big unstructured datasets

                                                    • -
                                                    • Create visualizations that helps to transform data into actionable insights for non-experts

                                                    • -
                                                    • Help to develop working application prototypes

                                                    • -
                                                    • Present your work/findings to a wide audience from beginner to experts

                                                    • -
                                                    -

                                                    -

                                                    What do you need to succeed?

                                                    -
                                                      -
                                                    • Masters or PhD degree in relevant discipline

                                                    • -
                                                    • ​5 years experience with either Automatic Speech Recognition systems/ Natural Language Processing/ Conversational AI or Information Extraction, tools and techniques-

                                                    • -
                                                    • 5 years hands on experience with Python, particularly with data science related packages and visualization techniques

                                                    • -
                                                    • 5 years experience with Deep Learning frameworks such as Tensorflow or PyTorch

                                                    • -
                                                    • Extensive knowledge of Machine Learning and Deep Learning tools and concepts

                                                    • -
                                                    • Ability to work independently with minimal supervision and perform well in team projects

                                                    • -
                                                    • Good knowledge of database concepts and SQL

                                                    • -
                                                    • Solid production level coding skills

                                                    • -
                                                    • Excellent communication skills

                                                    • -
                                                    -

                                                    -

                                                    What will be nice to have?

                                                    -
                                                      -
                                                    • Experience with C/C++, Java, Scala, R

                                                    • -
                                                    • Experience working with SQL/Unix command-line

                                                    • -
                                                    • Published paper in AI conferences such as NeurIPS, ICML, ICLR etc.

                                                    • -
                                                    • Experience in signal processing and pattern recognition

                                                    • -
                                                    • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi

                                                    • -
                                                    -

                                                    -

                                                    Unique Requirements

                                                    -

                                                    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-

                                                    -

                                                    pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                    -

                                                    -

                                                    What’s in it for you?

                                                    -
                                                      -
                                                    • Competitive salary influenced by market range data

                                                    • -
                                                    • 20 days vacation per year

                                                    • -
                                                    • Remote work/ Hybrid Work environment

                                                    • -
                                                    • A friendly, collaborative and inclusive culture

                                                    • -
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family

                                                    • -
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                    • -
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                    • -
                                                    -

                                                    -

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    -

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    -

                                                    -

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    -

                                                    -

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    -

                                                    -

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    -

                                                    -

                                                    Salary Range:

                                                    74,900/74 900 - 125,900/125 900

                                                    -

                                                    Job Category:

                                                    Advanced Analytics

                                                    -

                                                    Posting End Date:

                                                    06/03/2022
                                                    -
                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Machine-Learning-Engineer_JR00055348?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-03-03T07:08:07.938Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/111184574-senior-machine-learning-engineer-at-sun-life-financial,,expired,2022-02-28T07:03:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -ed2ffa8f-975e-442c-8519-8c3085ccee45,107753117,OMERS,"Lead Business Analyst, Data Governance",on_site,"Ontario, Canada",2022-02-06T07:19:04.552Z,"
                                                    -
                                                    -
                                                    -

                                                    Why join us?

                                                    -

                                                    -

                                                    Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                    At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                    -

                                                    -

                                                    The Lead Business Analyst, Data Governance will join the dynamic Enterprise Data Governance team within Data & Technology; working with a team that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Lead Business Analyst will work alongside information management and data governance specialists on their team and partner with data and analytics specialists within businesses and corporate functions to design, develop, implement and scale advanced solutions following best practices to drive measurable business outcomes.

                                                    Reporting to the Manager, Enterprise Data Governance, you will work closely with our business and technology teams to support the implementation of the OMERS Enterprise Information and Data Governance, stewardship and continuous improvement by focusing primarily on the implementation of Collibra, Informatica and additional tools & processes.

                                                    You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio, building an understanding of their business needs and data requirements, enhance self-service capabilities and elevate the understanding & application of governed data in the pursuit of data driven insights and intelligent decision making.

                                                    -

                                                    -

                                                    As a member of this team, you will be responsible for:

                                                    -
                                                      -
                                                    • Providing technical and Data Governance SME leadership and work in close partnership with business partners / technology / project teams and stakeholders to plan, elicit, analyze, document, communicate, support and manage the full implementation of Collibra and other tools & processes
                                                    • -
                                                    • Fostering strong relationships among cross-functional teams and facilitates decision making within multi-level audiences. Applying a system thinking approach to support the execution of data governance, including but not limited to master data, metadata, data quality, data lineage and data stewardship
                                                    • -
                                                    • Understanding of financial business functions, activities, transactions, and Data Governance best practices to contribute practical solutions leading to the adoption of Collibra for Enterprise Information and Data Governance Program
                                                    • -
                                                    • Identifying and implementing opportunities for practical and sustained data governance across the organization
                                                    • -
                                                    • Working with required Data and Technology teams to ensure that enterprise content management and analytics systems are designed in alignment with information and data governance best practices
                                                    • -
                                                    • Remaining on the “leading edge” of emerging data, analytics & AI technologies and methods (e.g. DataOps) to identify and implement tools and techniques and their application to new use cases and deployment opportunities
                                                    • -
                                                    • Driving a culture of innovation by supporting training and enablement activities such as lunch and learns, hackathons, etc.
                                                    • -
                                                    -


                                                    To succeed in this role, you have:

                                                    -
                                                      -
                                                    • -Undergraduate or graduate degree in Information Systems, Computer Science, Statistics, Mathematics or equivalent -
                                                    • -
                                                    • 5+ years of experience in business analysis, working specifically on data governance projects
                                                    • -
                                                    • -Minimum three (3) years’ hands-on experience with a data governance tool such as Collibra or similar tools -
                                                    • -
                                                    • -Minimum three (3) years’ hands-on experience with a data quality tool such as Informatica or similar tools -
                                                    • -
                                                    • Solid grasp of data quality, metadata management, and data governance standards and best practices
                                                    • -
                                                    • Experience in using external/alternative data, data modeling, data architecture, data engineering, insight generation, data visualization, feature engineering and AI systems development & optimization is preferred
                                                    • -
                                                    • Ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                                                    • -
                                                    • Additional experience within Pensions, Investments, and/or Commercial Real Estate sectors would be an asset
                                                    • -
                                                    • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating individuals and teams
                                                    • -
                                                    • Clearly contributing to or leading multiple projects simultaneously and serving multiple stakeholders
                                                    • -
                                                    • Demonstrated experience in project and time management
                                                    • -
                                                    • Polished written and verbal communication and compelling presentation skills targeted at all levels of the organization
                                                    • -
                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    Our story:

                                                    -

                                                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                    -

                                                    -

                                                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                    -

                                                    -

                                                    -

                                                    Vaccination Policy

                                                    -

                                                    -

                                                    At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    -
                                                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Lead-Business-Analyst--Data-Governance_JR-2279,feed-importer@jobboard.io,,,,2022-03-03T07:38:11.285Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/107753117-lead-business-analyst-data-governance-at-omers,,expired,2022-02-06T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -8ad6d94f-9f77-443e-97e8-82cb2c13a009,111185458,TELUS,"Manager, Data Science",on_site,"Ontario, Canada",2022-02-28T07:33:05.102Z,"
                                                    -

                                                    Description

                                                    -
                                                    -

                                                    -

                                                    Join our team

                                                    -

                                                    -

                                                    We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                    -

                                                    -

                                                    We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                    -

                                                    -

                                                    Here’s how

                                                    -

                                                    -

                                                    You will lead a team of data experts (Data Engineers, Data Scientists and Data Analysts) to drive solutions in collaboration with our marketing, sales, business solutions, security, privacy teams and TELUS-wide AI focused teams. Building on our existing strengths in privacy, analytics and strategy, and architecture, you will:

                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    -
                                                      -
                                                    • Communicate with various stakeholders, identify use cases, data requirements and test hypotheses.
                                                    • -
                                                    • Develop technical domain knowledge, operationalize the application of AI insights and decision making and manage our team’s delivery lifecycle and business models.
                                                    • -
                                                    • Inspire and motivate team members to drive high performance, take calculated risks, drive sound business decision making and quality outcomes.
                                                    • -
                                                    • Evolve our underlying data pipeline to deploy reusable and scalable algorithms in partnership with privacy and security functions.
                                                    • -
                                                    • Perform analysis/evaluation of proposed specific use cases: economic, technology, return on investment, sensitivity etc…
                                                    • -
                                                    • Manage capital/operational budgets and headcount while balancing between the needs and targets of the team versus the evolving fiscal environment of the business.
                                                    • -
                                                    • Empower and help team members to resolve complex technical, process and business roadblocks.
                                                    • -
                                                    +

                                                    As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives.

                                                    -

                                                    Qualifications

                                                    -
                                                    -

                                                    -

                                                    -

                                                    You’re the missing piece of the puzzle

                                                    -

                                                    -
                                                      -
                                                    • AI Technology & Data Engineering Expertise: Deep technical knowledge and 3+ years’ experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                    • -
                                                    • Team Leadership: You have 3+ years of experience in a role managing people. Excellent communicator with a track record of building strong teams, driving a culture of high engagement, and delivering outstanding program results.
                                                    • -
                                                    • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                    • -
                                                    • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                                                    • -
                                                    • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                    • -
                                                    • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                                                    • -
                                                    • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                                                    • -
                                                    -

                                                    -

                                                    Great-to-haves

                                                    +
                                                    +

                                                    About the team

                                                    -
                                                      -
                                                    • MBA (Master in Business Administration)
                                                    • -
                                                    • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                                                    • -
                                                    • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                                                    • -
                                                    • Strong knowledge of industry pressures in the telecommunications industry
                                                    • -
                                                    +

                                                    Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                    -
                                                    ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-03-07T18:17:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/111185458-manager-data-science-at-telus,,expired,2022-02-28T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, -2dfb698c-b427-4289-8216-a5935f8bc155,108832021,TELUS,Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-02-14T07:20:13.425Z,"
                                                    -

                                                    -
                                                    -

                                                    -

                                                    -

                                                    Create better business outcomes with your analytical acumen and creativity.

                                                    -

                                                    -


                                                    Join our team

                                                    -


                                                    The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                                    -


                                                    We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                                    -


                                                    Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                                    -

                                                    -


                                                    Here’s the impact you’ll make and what we’ll accomplish together

                                                    -


                                                    As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                                    -


                                                    As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                                    -

                                                    -

                                                    You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                                    +
                                                    +

                                                    Enough about us, let’s talk about you

                                                    -


                                                    Here\'s how

                                                    -


                                                    Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging SPARK, Python, SQL, etc.

                                                    -


                                                    Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling, post campaign analysis.

                                                    -


                                                    Present customer insights to cross functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital.

                                                    -


                                                    Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                                    Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community.

                                                    -


                                                    Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces

                                                    -
                                                    -
                                                    -

                                                    +

                                                    You are someone with:

                                                    +
                                                    • 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
                                                    • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
                                                    • Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
                                                    • Strong experience in Python used both for ML and automation tasks.
                                                    • Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                    • Experience with Kubernetes and the ecosystem of Cloud Native tools.
                                                    • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                    • Strong oral and written communication skills
                                                    • Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
                                                    • Experience with Azure or AWS platforms is an asset
                                                    • Project management experience is an asset
                                                    • Professional services, consulting, or advisory experience is an asset
                                                    • +
                                                    +
                                                    +
                                                    +
                                                    +

                                                    Why Deloitte?

                                                    +

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +
                                                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    +


                                                    The next step is yours

                                                    +

                                                    Sound like The One Firm. For You?

                                                    +

                                                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    +

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,feed-importer@jobboard.io,,,,2021-07-10T15:57:32.622Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/67139628-machine-learning-operations-ml-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Specialist-ON-M5C-3G7/709665500/,expired,2021-06-09T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +47cf4257-25f5-40ac-992b-645eb9e58036,67312580,Scotiabank,"Data Scientist, Advanced Analytics, Global Risk Management - Toronto, ON",on_site,"Toronto, ON, Canada",2021-06-10T20:27:05.514Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    You\'re the missing piece of the puzzle

                                                    -

                                                    -


                                                    Technical Expertise:

                                                    -

                                                    +

                                                    The Data Scientist, Advanced Analytics will support business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with peers across Global Risk teams, the business lines, IT&S and Digital Banking to expand the ‘Credit Science’ practice and drive the GRM Analytics COE interaction model. The candidate will identify and prioritize opportunities to deliver innovative retail credit solutions leveraging risk-reward predictions and strategy optimization frameworks.

                                                    +

                                                    +

                                                    Is this role right for you? In this role you, will:

                                                      -
                                                    • Extensive Hands-on experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                                    • -
                                                    • Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
                                                    • -
                                                    • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications.
                                                    • -
                                                    • Experience with Data Visualization tools like Domo/Tableau
                                                    • -
                                                    • Strong Quantitative, analytical and problem solving skills
                                                    • -
                                                    • 4+ years of progressive and relevant work experience
                                                    • +
                                                    • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                    • +
                                                    • Support forward-thinking, high impact analytical use cases focused on supporting GRM Data, Analytics and Technology Strategy and deliver actionable insights to capitalize on business opportunities
                                                    • +
                                                    • Collaborate with GRM Analytics COE key stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs
                                                    • +
                                                    • Support risk-reward predictions delivery, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                    • +
                                                    • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail and business banking footprint to support growth or de-risking initiatives
                                                    • +
                                                    • Support Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                    • +
                                                    • Support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                    • +
                                                    • Support GRM Analytics COE with thought leadership and R&D activities to influence GRM stakeholders on trends regarding practical applications of machine learning and artificial intelligence to banking
                                                    • +
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in decision making
                                                    -

                                                    -

                                                    -

                                                    Business Orientation:

                                                    -

                                                    +

                                                    +

                                                    Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                      -
                                                    • Good business acumen, relationship management and influencing without authority skills;
                                                    • -
                                                    • Ability to provide actionable recommendations based on data analysis
                                                    • -
                                                    • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                                    • -
                                                    • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                                    • +
                                                    • Post graduate degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                    • +
                                                    • 1~3 years working experience in Data Science/Machine learning/Modeling, financial industry or fintech preferred
                                                    • +
                                                    • Ability to ingest and work with large volumes of structured and unstructured non-traditional data
                                                    • +
                                                    • Working experience with big data tools such as SQL, Hive, Spark
                                                    • +
                                                    • Working experience with open-source programming languages such as Python, Pyspark, R, Scala
                                                    • +
                                                    • Working experience with ML/AI techniques for strategy design (supervised, unsupervised, NLP, decision tree, reinforcement learning, recommendation engines, APIs)
                                                    • +
                                                    • Knowledge of strategy optimization leveraging operations research principles would be an asset
                                                    • +
                                                    • Working experience with cloud computing platforms such as MS Azure and Google Cloud
                                                    • +
                                                    • Working experience with DevOps principles and/or software engineering best practices would be an asset
                                                    • +
                                                    • Working knowledge of visualization tools such as Tableau and Power BI would be an asset
                                                    • +
                                                    • Strong collaboration skills with ability to translate technical knowledge into business value
                                                    • +
                                                    • Effective communication skills with ability to prepare project documentation and presentations
                                                    -

                                                    -

                                                    -

                                                    Education:

                                                    -

                                                    -
                                                    • Post Graduate degree in Computer Science Engg/ Programming/ Statistics/Analytics
                                                    -

                                                    -

                                                    -

                                                    Great-to-haves

                                                    -

                                                    +

                                                    +

                                                    What’s in it for you?

                                                      -
                                                    • Telecom industry experience
                                                    • -
                                                    • Working experience with Google Cloud Platform
                                                    • +
                                                    • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                    • +
                                                    • A rewarding career path with diverse opportunities for professional development.
                                                    • +
                                                    • Internal development to support your growth and enhance your skills.
                                                    • +
                                                    • A competitive compensation and benefits package.
                                                    • +
                                                    • An organization committed to making a difference in our communities– for you and our customers.
                                                    • +
                                                    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                      This position is located Downtown Toronto
                                                    -

                                                    -

                                                    -

                                                    -

                                                    Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills which will make you successful in this role and apply!

                                                    -
                                                    -
                                                    -
                                                    ",,https://careers.telus.com/job/Toronto-Data-Scientist-C360-Insights-Team-ON/556521117/,feed-importer@jobboard.io,,,,2022-03-05T07:38:05.108Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/108832021-data-scientist-c360-insights-team-at-telus,,expired,2022-02-14T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -71cf4b7a-d17c-4d20-9a73-d1f83cee2153,26862376,Scotiabank,Data Scientist / Data Engineer Co-op,on_site,"Toronto, ON, Canada",2019-12-19T19:25:20.605Z,"

                                                    WORK TERM: 4 months Co-op (May 2020 – August 2020)

                                                    -

                                                    LOCATION: Toronto, ON

                                                    -

                                                    POSITION DESCRIPTION:

                                                    -

                                                    The Digital Data and Analytics (DDNA) department provides core analytical support to Scotiabank’s leading digital analytics initiatives, and recently expanded to Global Operations providing support across the bank.

                                                    -

                                                    A successful Co-op Student in Digital Data and Analytics (DDNA) will:

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    +

                                                    +

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-Advanced-Analytics%2C-Global-Risk-Management-Toronto%2C-ON-ON-M5H1B6/547683117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:27:06.897Z,False,0,0,22,https://talenthub.vectorinstitute.ai/jobs/67312580-data-scientist-advanced-analytics-global-risk-management-toronto-on-at-scotiabank,,expired,2021-06-10T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d696701e-17be-4da4-b350-962dd0659646,67312799,Scotiabank,"Senior Manager, Data Science",on_site,"Toronto, ON, Canada",2021-06-10T20:29:02.231Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    +

                                                    PURPOSE:

                                                    +

                                                    +

                                                    The Global Data & Analytics Solutions team at Scotiabank has been focused to build and integrate advanced analytics solutions in Bank’s core processes to derive financial loss presentations, operational efficiencies, operational risk mitigation and customer personalized support; and with heavy emphasis on reusability of analytic solutions. We partner very closely with Digital Banking, Operations and Technology function areas of business. We have a high performing team culture, and the team consists of highly accomplished business professionals, Data Scientists, Data Strategists, Model-ops Engineers and Agile Project Managers.

                                                    +


                                                    We are seeking for a passionate individual at Senior Manager – Data Science Lead role with experience in managing and delivering complex analytic projects with agile mindset, experience in working with cross functional teams from both technology and business sides and should have a proven track record of fostering empowerment, a high-performing team culture and facilitating creativity. An individual would require to have a deep understanding of data science functional knowledge and building the high-impact analytics end-to-end solutions. Role is required to support the core business functions through the rapid project deliveries that will help to drive accelerated benefits for our customers.

                                                    +

                                                    +

                                                    +

                                                    WHAT WILL YOU DO?

                                                    +


                                                    • Data Science Lead will be working on strategically prioritised analytic use cases from technology and other function areas in bank under the guidance of a Director
                                                    • You will manage and support the team of data scientists, modelOps engineers and data strategist to develop, deploy and monitor advanced analytics, predictive analytics and ML analytics solutions
                                                    • You will prepare detailed documentation to outline data sources, methodologies, models, and algorithms used and developed
                                                    • Present results to business line stakeholders and help to drive real data-driven culture
                                                    • Promote high-performance culture and empowerment in a team by ensuring that each team member is fully engaged in project with meaningful contribution
                                                    • Participate and help in identifying analytic and AI opportunities to drive business value; and be an advocate for building reusable and scalable analytic solutions
                                                    • Manage project requirement gathering, scope and timeline
                                                    • Build and maintains relationships with cross-functional teams
                                                    • Build, manage and advocate the best practices for managing and executing the analytic projects

                                                    +

                                                    +

                                                    +

                                                    WHAT ARE WE LOOKING FOR?

                                                    +


                                                    • A university Degree in Business and/or STEM Discipline, preferably Master or above
                                                    • A strong project management experience in analytics and preferably in Finance industries
                                                    • Proven track record of executing the advanced analytics projects in agile delivery framework
                                                    • Knowledge of data science project life cycle – discovery, build, deploy and monitor
                                                    • Excellent verbal and written communication skills, ability to work with diverse team
                                                    • Knowledge of data science techniques to conduct descriptive, predictive, ML and NLP analytics
                                                    • Detailed level of understanding on organization’s risk appetite, risk culture and governance around the data science solutions
                                                    • Strong coaching and training skills
                                                    • Hands-on experience of working with data science tools and technologies such R/Python, SQL, Hive, Sqoop, PowerBI/Tableau etc.
                                                    • Hands-on experience of using project management and collaborative tools such as confluence, JIRA & Bitbuckets
                                                    • Familiarity or experience with deployment mechanisms for machine learning algorithms ( Docker & Kubernetes)
                                                    • Familiarity with cloud technologies such as AWS, GCP or MS Azure

                                                    +

                                                    +

                                                    +

                                                    WHAT’S IN IT FOR YOU?

                                                    +


                                                    • An inclusive and collaborative working environment that encourages pragmatic creativity, curiosity, and celebrates success
                                                    • You will get to work with and learn from friendly and diverse group of accomplished leaders
                                                    • Opportunity to work with different business lines where analytics are being tested and applied
                                                    • Training and learning program with resources like LinkedIn Learning, Plural sights and networking with Subject Matter Experts
                                                    • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program, and continuing education programs

                                                    +

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Science-ON-M5H1H1/546858817/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-06-18T20:00:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/67312799-senior-manager-data-science-at-scotiabank,,expired,2021-06-10T20:29:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +c729434f-4ed1-4170-ae3f-09551bd735a6,67312833,Scotiabank,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-06-10T20:31:02.860Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Purpose

                                                    +

                                                    +

                                                    +

                                                    The Threat Monitoring – Senior Data Engineer is accountable to act as a Senior resource and SME in one of two key functions, being the development, of approaches and techniques or detecting Money Laundering activity across the bank globally, and/or within the Threat Analytics team to ensure that current and future high risk AML activities are identified and referred to Investigations for review.

                                                    +

                                                    +

                                                    +

                                                    Accountabilities

                                                    +

                                                    +

                                                    +

                                                    1. Leverage new and traditional data engineering processes and technique to create robust analytical platform

                                                      -
                                                    • Gain working knowledge of using the Cloud ecosystem to tackle real world big data questions related to Marketing, Operations, Fraud and AML (Anti Money Laundering) projects
                                                    • +
                                                    • Define data architecture design, and integrate existing and new assets on to platform
                                                    • +
                                                    • Ensure that design can scale with a focus on pipelines, and utilities
                                                    • +
                                                    • Maintain, and test to ensure reliability and performance of each part of the system
                                                    • +
                                                    • Deploy machine learning algorithms into production environments
                                                    +

                                                    2. Perform data extrapolation across multiple data sources and create data mosaics

                                                      -
                                                    • Apply statistical analysis / predictive modeling to provide actionable insight to internal clients
                                                    • -
                                                    • Build and optimize data flows between different systems with the Hadoop/GCP platform
                                                    • -
                                                    • Design algorithms based on, among many others, natural language processing and machine learning
                                                    • +
                                                    • Develop data mosaics by combining information across different sources including law enforcement, news, social media, etc.
                                                    • +
                                                    • Construct data frameworks that will be used to measure, and monitor threats to the bank
                                                    -

                                                    QUALIFICATIONS:

                                                    +

                                                    3. Perform system integration between global entity databases and transaction systems.

                                                      -
                                                    • Open to undergraduate / graduate students
                                                    • -
                                                    • Strong foundation in Software Engineering, Core Computer Science, Computational Math/Statistics
                                                    • -
                                                    • Experience with Python, Java, SQL
                                                    • -
                                                    • Familiarity with UNIX, shell scripting, Spark, Git
                                                    • -
                                                    • Strong communication skills
                                                    • +
                                                    • Build scalable solution to ingest and process entity databases and business transaction systems.
                                                    • +
                                                    • Extend classic standalone algorithms to work in parallel in Hadoop ecosystem, interactive cluster and GCP.
                                                    • +
                                                    • Build batch-based and real-time entity resolution process on serve various business transaction systems.
                                                    -

                                                    WORKING ENVIRONMENT:

                                                    +

                                                    4. Onboard and enrich data from global sources

                                                      -
                                                    • DDNA is part of the Scotiabank Digital Factory, located near the distillery district, downtown Toronto
                                                    • -
                                                    • Flexible dress code, onsite cafeteria with a chef, and onsite fitness center
                                                    • -
                                                    ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-01-24T22:25:00.000Z,False,39,0,533,https://talenthub.vectorinstitute.ai/jobs/26862376-data-scientist-data-engineer-co-op-at-scotiabank,,expired,2019-12-19T19:25:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -927b80a7-cd0c-448f-8ea3-29681fe3d80d,26807021,Deloitte,Omnia AI: Data Engineer - Summer 2020 Co-op/Intern,on_site,"Toronto, ON, Canada",2019-12-18T19:57:29.878Z,"

                                                    Date Posted: Dec 13, 2019

                                                    -

                                                    Reference Code: 48302-en_US

                                                    +
                                                  • Develop processes to clean and transform raw data from bank and third-party sources
                                                  • +
                                                  • Work with team members and domain experts to extract features
                                                  • + +

                                                    5. Other

                                                      -
                                                    • Be encouraged to deepen your technical skills in data engineering on Cloud and Big Data platforms.
                                                    • -
                                                    • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                    • -
                                                    • Be expected to share your ideas and make them a reality.
                                                    • +
                                                    • Collaborate with a broader team of data scientist, data engineers, and dev/op’s and create a dynamic innovative culture
                                                    • +
                                                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                    • +
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                    • +
                                                    • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                    -

                                                    If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

                                                    -

                                                    What will your typical day look like?

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -


                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    A data engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

                                                    -

                                                    In this role, you will:

                                                    +

                                                    +

                                                    +

                                                    +

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/547805017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:31:04.629Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/67312833-senior-data-engineer-at-scotiabank,,expired,2021-06-10T20:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +e095b0e3-1284-40dc-a8e0-a0d9070eaacc,67312837,Scotiabank,"Senior Data Scientist, Advanced Analytics, Global Risk Management",on_site,"Toronto, ON, Canada",2021-06-10T20:32:26.672Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    +

                                                    +


                                                    The Senior Data Scientist, Advanced Analytics will taking a leading role in business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with peers across Global Risk teams, the business lines, IT, and Digital Banking to expand the ‘Credit Science’ practice and drive the Global Risk Management Analytics COE interaction model. The candidate will identify and prioritize opportunities to deliver innovative Business Banking credit solutions leveraging liquidity, risk-reward predictions and strategy optimization frameworks.

                                                    +

                                                    +

                                                    Is this role right for you? In this role you, will:

                                                      -
                                                    • Design, engineer and test data pipelines and platforms that enable business analytics and insights
                                                    • -
                                                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                    • -
                                                    • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                                    • -
                                                    • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                                    • +
                                                    • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                    • +
                                                    • Support forward-thinking, high impact analytical use cases focused on supporting GRM Data, Analytics and Technology Strategy and deliver actionable insights to capitalize on business opportunities
                                                    • +
                                                    • Collaborate with GRM Analytics COE key stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs
                                                    • +
                                                    • Support risk-reward predictions delivery, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                    • +
                                                    • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail and business banking footprint to support growth or de-risking initiatives
                                                    • +
                                                    • Support Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                    • +
                                                    • Lead and support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                    • +
                                                    • Support GRM Analytics COE with thought leadership and R&D activities to influence GRM stakeholders on trends regarding practical applications of machine learning and artificial intelligence to banking
                                                    • +
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in decision making
                                                    -

                                                    About the team

                                                    -

                                                    As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

                                                    -

                                                    Enough about us, let’s talk about you

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -


                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    -

                                                    You are someone who is:

                                                    +

                                                    +

                                                    Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                      -
                                                    • Enrolled in a BA/BSc or MA/MSc degree in Applied Mathematics, Statistics, Epidemiology, Computer Science, Engineering or related field
                                                    • -
                                                    • Fascinated with data structures, data models and data patterns, interested in wrangling, joining and melting data sets together to create the foundation for analysis
                                                    • -
                                                    • Quick to learn new technologies, easy to adapt to new environments, curious to try out new things and not intimidated by large and complicated data sets
                                                    • -
                                                    • Exposed to and/or experienced with building data sets in the cloud (on AWS, Azure or Google platforms), on Big Data / Hadoop (using Sqoop, Kafka, Parquet, Scala, Python, etc.), or on database platforms (using SQL-like programming on SQL Server, Oracle, Hive, HBase, NoSQL databases, etc.)
                                                    • -
                                                    • Able to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
                                                    • -
                                                    • Candidates interested in the Ottawa Office: Employees in the Ottawa office will be required to obtain ""Reliability"" and/or ""Secret"" level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status, you must have resided in Canada for the last five (5) years, and for ""Secret"" level, the last ten (10) years.
                                                    • +
                                                    • University/Post graduate degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                    • +
                                                    • Ability to ingest and work with large volumes of structured and unstructured non-traditional data
                                                    • +
                                                    • Working experience with big data tools such as SQL, Hive, Spark
                                                    • +
                                                    • Working experience with open-source programming languages such as Python, R, Scala
                                                    • +
                                                    • Working experience with ML/AI techniques for strategy design (supervised, unsupervised, NLP, decision tree, reinforcement learning, recommendation engines, APIs)
                                                    • +
                                                    • Knowledge of strategy optimization leveraging operations research principles would be an asset
                                                    • +
                                                    • Working experience with cloud computing platforms such as MS Azure and Google Cloud
                                                    • +
                                                    • Working experience with DevOps principles and/or software engineering best practices would be an asset
                                                    • +
                                                    • Corporate, Commercial and Capital Markets experience is an asset
                                                    • +
                                                    • Working knowledge of visualization tools such as Tableau and Power BI would be an asset
                                                    • +
                                                    • Strong collaboration skills with ability to translate technical knowledge into business value
                                                    • +
                                                    • Effective communication skills with ability to prepare project documentation and presentations
                                                    -

                                                    Why Deloitte?

                                                    -

                                                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                    +

                                                    What’s in it for you?

                                                      -
                                                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                    • -
                                                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                    • -
                                                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                    • +
                                                    • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                    • +
                                                    • A rewarding career path with diverse opportunities for professional development.
                                                    • +
                                                    • Internal development to support your growth and enhance your skills.
                                                    • +
                                                    • A competitive compensation and benefits package.
                                                    • +
                                                    • An organization committed to making a difference in our communities– for you and our customers.
                                                    • +
                                                    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                      This position is located Downtown Toronto
                                                    -


                                                    The next step is yours

                                                    -


                                                    Sound like The One Firm. For You? Apply by January 21, 2020.

                                                    -

                                                    -

                                                    At Deloitte we are all about doing business inclusively – that starts with having a diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                    -

                                                    -

                                                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                    -

                                                    We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                    ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-01-21T22:57:00.000Z,False,17,0,150,https://talenthub.vectorinstitute.ai/jobs/26807021-omnia-ai-data-engineer-summer-2020-co-op-intern-at-deloitte,,expired,2019-12-18T19:57:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -a29cb674-288d-40f7-95b8-55e5faa72088,108161696,Scotiabank,"Manager, Decisioning Models - Retail & Small Business, Global Risk Management - Toronto, ON",on_site,"Toronto, ON, Canada",2022-02-08T22:05:45.916Z,"

                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                    -

                                                    -

                                                    The world is changing faster than ever and so are we!

                                                    -

                                                    -

                                                    Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                    -

                                                    Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-Advanced-Analytics%2C-Global-Risk-Management-ON-M5H1B6/547858017/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:32:28.403Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/67312837-senior-data-scientist-advanced-analytics-global-risk-management-at-scotiabank,,expired,2021-06-10T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +56981103-7682-402f-9ace-f54356cecdb7,67313381,Scotiabank,"Director, Data Governance & Attestation, Global Finance",on_site,"Toronto, ON, Canada",2021-06-10T20:40:30.504Z,"

                                                    Join the Global Community of Scotiabankers to help customers become better off.

                                                    -

                                                    What You'll do in this Role?

                                                    -

                                                    As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                    +

                                                    The Director serves as the Data governance and attestation Lead, managing formation of the Global Finance data governance program, attestation and “business-as-usual” activities. The role guarantees all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                    +

                                                    The incumbent ensures implementation and alignment of the Global Finance Financial and Regulatory Reporting Attestation policy and partners with data attestation providers to confirm assurance on the accuracy, completeness and substantiation of financial information; review certification received on the accuracy, completeness and conformance to requirements of non-financial information; confirm with attesters that effective controls are in place to ensure proper information capture, transformation and reconciliation, and adequate compilation and validation of reports; support the assessment and impact of exceptions to financial / regulatory reporting and monitor remediation action plans of disclosed exceptions including related controls that impact Financial and Regulatory Reporting including disclosure on changes in process, technology or organizational structure that impact Financial and Regulatory Reporting

                                                    +

                                                    The incumbent is responsible for the monitoring of data quality and assessment for root cause analysis & prioritization of identification of data issues. Once the data issues are identified and prioritized the Data Governance & Attestation Lead will be required to oversee the remediation of these issues.

                                                    +

                                                    The incumbent needs to be able to multi-task, be a good communicator and manage various work streams relating to Finance Data Management and Attestation, including externally driven (i.e. regulatory) and/or upstream related initiatives.

                                                    -

                                                    Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                    -

                                                    Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                    +

                                                    Key Accountabilities:

                                                    -

                                                    Is This Role Right for You?

                                                      -
                                                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                    • -
                                                    • You are both deeply curious and highly pragmatic
                                                    • -
                                                    • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                    • -
                                                    • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                    • -
                                                    • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                    • -
                                                    • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                    • -
                                                    • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                    • -
                                                    • You are comfortable initiating conversations and collaborating with diverse personalities
                                                    • -
                                                    • You are committed to quality in everything you do – statistically, process and governance wise
                                                    • -
                                                    • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                    • -
                                                    • You are professional, motivated AND FUN. We mean it.
                                                    • +
                                                    • Champions a customer focused culture and leverage broader Bank relationships, systems and knowledge.
                                                    • +
                                                    • Reports to the VP Regulatory Risk Governance and is responsible for executing the Global Finance (Canada and consolidated Bank) day-to-day data management and attestation activities, including remediating data quality and attestation issues for Global Finance (Canada and consolidated Bank) and implementing change management processes.
                                                    • +
                                                    • Accountable for the full alignment of the key Attestation principles which considers;
                                                        +
                                                      • the identification of data providers, and controls in place to capture, transform, reconcile and generate information used for Financial and Regulatory Reporting;
                                                      • +
                                                      • Attestations provided by respective areas are completed by personnel at the VP or equivalent level;
                                                      • +
                                                      • Data Providers attest on the accuracy and completeness and related controls over the information provided for Financial and Regulatory Reporting purposes;
                                                      • +
                                                      • Submission of attestations are aligned to the frequency of the data provided.
                                                      -

                                                      Sample projects that you might work on include:

                                                      +
                                                    • +
                                                    • It is the responsibility of the Director to obtain confirmation, through Attestations that for e.g.:
                                                        +
                                                      • General Ledger is accurate, complete and substantiated;
                                                      • +
                                                      • non-financial information, such as attributes at the customer, product and transaction levels required for Financial and Regulatory Reporting, is properly identified, captured and processed;
                                                      • +
                                                      • key controls for Financial and Regulatory Reporting processes remain effective;
                                                      • +
                                                      • exceptions on information or controls are being disclosed for assessing their impact over Financial and Regulatory Reporting
                                                      • +
                                                      +
                                                    • +
                                                    • The owner of the data for Global Finance and provides oversight and governance for the data created (e.g. atomic-level data, derived data, etc.).
                                                    • +
                                                    • Responsible for establishing and maintaining strong data management capabilities e.g.:
                                                        +
                                                      • Developing and maintaining accurate data lineage for critical data (working with IT)
                                                      • +
                                                      • Documentation of end-to-end processes, including EUCs and Key Controls
                                                      • +
                                                      • Establishment of Service Level agreements with appropriate data providers
                                                      • +
                                                      • Establishment of Data quality measurements and reporting
                                                      • +
                                                      • Establishment Issue management process and procedures
                                                      • +
                                                      +
                                                    • +
                                                    • Primary point of contact for all Global Finance Canada data matters, championing data as a strategic asset and participates in regular data governance team, project, and leadership meetings.
                                                    • +
                                                    • Developing and maintaining standards related to data quality, issue management and change management for Global Finance data that align with bank policies.
                                                    • +
                                                    • Work in conjunction with data consumers and Domain stakeholders to establish data quality rules, standards and thresholds, to ensure appropriate data quality monitoring practices are in place.
                                                    • +
                                                    • Accountable to ensure that Global Finance is in compliance with the Enterprise Data Governance Framework and Enterprise Data Management Policy.
                                                    • +
                                                    • Lead the identification and root-cause analysis of data quality and attestation issues arising through the data and attestation process chain, from source system to final reporting.
                                                    • +
                                                    • Prioritizing data and attestation issues and collaborating with business and technology stakeholders to address and remediate issues in a timely manner based on priority and severity.
                                                    • +
                                                    • Tracks and reports on data and attestation governance work to milestones and progress.
                                                    • +
                                                    • Partners with technology and the Enterprise Data Office and technology for the delivery of any tools required for data governance and attestation operations.
                                                    • +
                                                    • Work within Global Finance, respective subsidiaries and markets to support policy compliance.
                                                    • +
                                                    • Actively tracking Financial and Regulatory changes and anticipating the impact these will have on Finance data governance, attestation and reporting.
                                                    • +
                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                    • +
                                                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                    • +
                                                    • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                                    • +
                                                    +

                                                    Experience / Education:

                                                    +

                                                      -
                                                    • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                    • -
                                                    • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                    • -
                                                    • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                    • -
                                                    • Lead the periodic review and maintenance of credit risk models / scorecards
                                                    • -
                                                    • Identify, promote and lead process improvements for model development and monitoring
                                                    • -
                                                    • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                    • +
                                                    • A minimum of 7 years of financial industry Finance and/or Technology experience is required.
                                                    • +
                                                    • A recognized under-graduate degree in business, mathematics, computer science or a related discipline.
                                                    • +
                                                    • A recognized post-graduate or master’s degree in business, finance, CFA and/or FRM would be an asset.
                                                    • +
                                                    • Knowledge of Internal Controls, Compliance standards and best practices, with use of analysis tools for monitoring
                                                    • +
                                                    • Knowledge of the Bank's financial instruments, capital markets and wholesale operational processes & controls
                                                    • +
                                                    • Knowledge of regulatory/financial reporting and an understanding of general ledger structure
                                                    • +
                                                    • Knowledge of requirements gathering, design methodology and building test cases - detail oriented, analytical and capable of investigating complex / technical issues
                                                    • +
                                                    • Able to troubleshoot data related issues and support in the authorization in maintenance and modifications.
                                                    • +
                                                    • Excellent communication / presentation skills (both oral and written)
                                                    • +
                                                    • Excellent team player by working with cross-departmental business & IT stakeholders
                                                    • +
                                                    • Highly motivated and committed, capable of working in a dynamic environment with aggressive timelines, multiple work streams running in parallel.
                                                    • +
                                                    • Strong project management experience, able to drive initiatives from planning through execution.
                                                    • +
                                                    • Experience with eliciting and provided requirements and design

                                                    -

                                                    What Are We Looking For?

                                                    -

                                                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                    +

                                                    Pending Job Evaluation

                                                    -

                                                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                    +

                                                    Location(s): Canada : Ontario : Toronto

                                                    +

                                                    As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    -

                                                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                    -

                                                    Do you have the skills that will enable you to succeed in this role?

                                                    -

                                                    General

                                                    +

                                                    Apply now »

                                                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-&-Attestation%2C-Global-Finance-ON-M5V2T3/544150317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-10T20:40:31.994Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/67313381-director-data-governance-attestation-global-finance-at-scotiabank,,expired,2021-06-10T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +af9089b2-2e07-4143-83cf-a1802cb776a0,67323403,Layer 6,Machine Learning Engineer – Backend,on_site,"Toronto, ON, Canada",2021-06-10T21:40:26.211Z,"

                                                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to help develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                    +

                                                    We empower our ML Scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                    +

                                                    +

                                                    As Senior Backend Engineer at Layer 6, you’ll work with ML scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design an API for the front-end web application which will visualize data and answer questions about machine learning models. You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                                    +

                                                    Must-have:

                                                    +

                                                    – BSc+ in Computer Science or similar
                                                    – 3+ years of programming experience
                                                    – Proven experience in designing and delivering a complex web application
                                                    – Experience as a key contributor and leader on projects
                                                    – Strong experience in Java and its ecosystem
                                                    – Passionate about creating maintainable and performant software
                                                    – Strong desire to learn and solve problems

                                                    +

                                                    Nice to have

                                                    +

                                                    – Experience with databases such as Elasticsearch
                                                    – Experience with microservice architecture
                                                    – Familiarity with data analysis or machine learning
                                                    – Experience with Docker and Kubernetes
                                                    – Comfortable with math (linear algebra, calculus)

                                                    ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2021-07-10T21:40:27.898Z,False,0,0,30,https://talenthub.vectorinstitute.ai/jobs/67323403-machine-learning-engineer-backend-at-layer-6,,expired,2021-06-10T21:40:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +321cfeca-0e2f-490d-af49-0c32c1290cc8,67324618,Sun Life Financial,Senior Data Scientist,on_site,"Toronto, ON, Canada",2021-06-10T21:51:15.686Z,"

                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                    +

                                                    +

                                                    +

                                                    Job Description:

                                                    +

                                                    Role Summary

                                                    +

                                                    +

                                                    Analytics & Insights is a multi-disciplinary center of excellence comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric.

                                                    +

                                                    +

                                                    An integral part of the Analytics & Insights organization, the Data Science team works closely with various lines of business to build a recommendation system by leveraging big data and AI/Machine Learning algorithms!

                                                    +

                                                    Flexibility and an entrepreneurial mindset are critical in this role, as part of your responsibility will be to build quick PoCs in an imperfect way to perfectly test & validate ideas.

                                                    +

                                                    +

                                                    What will you need to succeed?

                                                      -
                                                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                    • -
                                                    • A demonstrated history of analytic problem solving and sound judgment
                                                    • -
                                                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                    • -
                                                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                    • -
                                                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                    • -
                                                    -

                                                    Technical

                                                    +
                                                  • Minimum of master's degree in Statistics, Software Engineering, Mathematics, Econometrics, Physic or equivalent. PhD degree preferred.
                                                  • +
                                                  • Programming experience Python or R (3+ years)
                                                  • +
                                                  • Go-getter with agile mind set
                                                  • +
                                                  • Demonstrated data transformation & manipulation experience.
                                                  • +
                                                  • Deep understanding of deep learning and unsupervised models
                                                  • +
                                                  • Thirst for learning new methodologies and models
                                                  • +
                                                  • Detail oriented but do not get lost there!
                                                  • +
                                                  • Working experience in:

                                                      -
                                                    • Strong fundamental understanding of statistics
                                                    • -
                                                    • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                    • -
                                                    • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                    • -
                                                    • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                    • -
                                                    • Knowledge of credit risk models / scorecards
                                                    • +
                                                    • Agile framework
                                                    • +
                                                    • Big data platforms
                                                    • +
                                                    • Keras and Tensor Flow
                                                    • +
                                                    • AWS services including SageMaker
                                                    • +
                                                    • Structured vs. Unstructured data
                                                    • +
                                                    +
                                                  • +
                                                  • Insurance and finance services industry preferred
                                                  • -

                                                    Nice To Have's

                                                    +

                                                    What will you do?

                                                      -
                                                    • Proficient reading, writing and speaking Spanish (not required)
                                                    • -
                                                    • Experience developing credit risk models / scorecards
                                                    • -
                                                    • Domain expertise with any retail & small business banking products and/or risk management practices
                                                    • -
                                                    • FRM, CFA credentials
                                                    • -
                                                    • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                    • -
                                                    • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                    • -
                                                    • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                    • +
                                                    • +Design and develop AI/Machine Learning models for business operations: With access to enormous open source, third party and Sunlife data, you would be connecting different data sets and testing different AI algorithms (e.g. Reinforcement Learning, Collaborative Filtering, Long Short-Term Memory) to examine their business value. Once the value is proven, the model needs to be deployed and monitored in our production environment
                                                    • +
                                                    • +Research new algorithms, document them, and share your findings with the team: Data science is a fast-evolving field, every day there is a new algorithm out there that we can use and/or monitor them for future use.
                                                    • +
                                                    • +Formally apply statistical/scientific rigour to the problems at hand: As much as we like our gut feelings but for a business to succeed, we need to make sure our solutions are scientifically correct.
                                                    • +
                                                    • +Share what you see in the data as a story: Data on its own can be a bit dull, so we need to make it colorful by connecting the dots and telling a compelling story.
                                                    • +
                                                    • +Analyze data to support model development and to identify potential areas for improvement: Data analysis could be about existing challenges, but it may also help identify areas for improvement and bring them to surface to get resolved – We need both!
                                                    • +
                                                    • +Work with the team to document data models, architecture, algorithms: we work in an Agile environment, but it is not equivalent to NO documentation.
                                                    -

                                                    What's In it For You?

                                                    +

                                                    +

                                                    What’s in it for you?

                                                      -
                                                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                    • -
                                                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                    • -
                                                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                    • -
                                                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                    • -
                                                    • A competitive compensation package
                                                    • +
                                                    • Competitive salary and bonus structure influenced by market range data
                                                    • +
                                                    • 20 days vacation per year and an innovative sabbatical program
                                                    • +
                                                    • A friendly, collaborative and inclusive culture
                                                    • +
                                                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                    • +
                                                    • Flexible Benefits from the day you join to meet the needs of you and your family
                                                    • +
                                                    • Pension, stock and savings programs to help build and enhance your future financial security
                                                    • +
                                                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                    -

                                                    This position is located in downtown, Toronto. There are two positions available.

                                                    -

                                                    Location(s): Canada : Ontario : Toronto

                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                    ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-Global-Risk-Management-ON/554944317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-03-10T22:05:48.175Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/108161696-manager-decisioning-models-retail-small-business-global-risk-management-toronto-on-at-scotiabank,,expired,2022-02-08T22:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -046d160a-6a32-443e-a08e-5cbd558ac356,111956898,Shopify Inc.,Data Engineer,on_site,"Ontario, Canada",2022-03-03T07:33:11.264Z,"

                                                    About the role

                                                    -

                                                    We support Shopify in making better decisions. We deploy and maintain a variety of scalable technologies for extracting and transforming a multitude of different sources of data, including Shopify’s operational databases. We have a petabyte scale YARN cluster running Apache Spark for transformation, and a variety of analytics technologies on top of it.

                                                    -

                                                    We\'re looking to find passionate and diverse software developers who get excited about how data can empower millions of merchants that use Shopify today. Apply now to join us.

                                                    +

                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                    -

                                                    Qualifications

                                                    You should have:

                                                    -
                                                      -
                                                    • A variety of software development experience - you are proficient with things like software design patterns, code review, multiple languages and paradigms, TDD, etc.
                                                    • -
                                                    • Database experience - you are familiar with things like SQL query authoring, table design patterns for OLAP and OLTP, a variety of databases, and the tradeoffs between them
                                                    • -
                                                    • Experience with building and maintaining distributed systems and knowledge of the associated patterns, concerns, and tradeoffs
                                                    • -
                                                    • Demonstrated ability to work in multiple languages and platforms
                                                    • -
                                                    -

                                                    It\'d be nice if you had:

                                                    -
                                                      -
                                                    • Python, Spark, Scala, Go, or Java
                                                    • -
                                                    • Cloud Computing (Google Cloud, AWS, Azure)
                                                    • -
                                                    • Optimized storage strategies such as columnar file formats, partitioning, bucketing, and bloom filters
                                                    • -
                                                    +

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    +

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    +

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    +

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    +

                                                    +

                                                    Salary Range:

                                                    +

                                                    73,800/73 800 - 124,100/124 100

                                                    +

                                                    +

                                                    Job Category:

                                                    +

                                                    Advanced Analytics

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00041583-3?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-07-10T21:51:27.954Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/67324618-senior-data-scientist-at-sun-life-financial,,expired,2021-06-10T21:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +8f4cf6cc-4a32-4a21-8737-4db5d871db8d,67324634,Sun Life Financial,"Fall Co-op Opportunities 2021 - Toronto, Waterloo & Montreal",on_site,"Toronto, ON, Canada",2021-06-10T21:53:37.956Z,"

                                                    Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.

                                                    +

                                                    +

                                                    Job Description:

                                                    +

                                                    Sun Life is now accepting applications for a variety of co-op positions for the Fall 2021 work term. Some of the business areas with opportunities available include Finance, Digital, Business & Technology Solutions, Strategy, Human Resources and Group Disability among other areas.

                                                    +

                                                    +

                                                    This is a general posting for co-op opportunities starting in September. Please ensure you also apply to the job specific posting through your university/college if applicable. We will reach out to you if your profile matches an opportunity that we have available.

                                                    +

                                                    +

                                                    The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for.

                                                    +

                                                    +

                                                    Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans, payment under which is discretionary and subject to individual and company performance

                                                    +

                                                    +

                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                    +

                                                    +

                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                    +

                                                    +

                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                    +

                                                    +

                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                    +

                                                    +

                                                    Job Category:

                                                    +

                                                    Temporary Employee

                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Campus/job/Toronto-Ontario/Fall-Co-op-Opportunities-2021---Toronto--Waterloo---Montreal_JR00043314?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2021-07-10T21:53:50.669Z,False,0,12,41,https://talenthub.vectorinstitute.ai/jobs/67324634-fall-co-op-opportunities-2021-toronto-waterloo-montreal-at-sun-life-financial,,expired,2021-06-10T21:53:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +a73f6b80-c006-4a87-9a3c-9a2be159ed0a,68003976,TD Bank Group,Quantitative Analyst I,on_site,"Toronto, ON",2021-06-14T15:42:10.999Z,"
                                                    +

                                                    Company Overview

                                                    +
                                                    +

                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                    +

                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                    +

                                                    +

                                                    Department Overview

                                                    +
                                                    The Model Validation (MV) group in Risk Management is responsible for the independent validation and approval of analytical models used for pricing, hedging and risk and capital evaluation of financial products and portfolios of financial products. This also includes vetting and validation of decision making models, such as credit approval and behavioral scoring models for the Bank’s Retail portfolio
                                                    +

                                                    +

                                                    Job Description

                                                    +
                                                    The position reports to Senior Manager, Non-Retail Model Validation group within MV. Detailed accountability include:
                                                    Validate a variety of Non-retail quantitative / qualitative models in Canada and the U.S., including Credit Risk Rating Models and Parameter Models, Internal Risk Rating System, Tax Models, and Stress Testing Models (i.e. CCAR/DFAST/EWST).
                                                    Implement validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.
                                                    Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Ensure extensive testing of model’s sensitivity that help assessing model’s behavior and risk.
                                                    Assess the conceptual soundness of the model methodology including assumptions.
                                                    Implement and evaluate external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.
                                                    Actively participate with business partners in internal data management to ensure data integrity and the completeness of data capture for model validation and development purpose, as well as meet Basel requirements on data capture and retention.
                                                    Maintain / Develop professional knowledge of techniques and developments in the field of quantitative analysis, and share knowledge with business partners and senior management.
                                                    Work effectively with different internal partners such as Model Development (MD) Group, Credit Risk Policy group (CRP), US Tax group, Treasury & Balance Sheet Management Group (TBSM), Internal Audit, and Enterprise Enabling Technology Solutions (EETS) Group
                                                    +

                                                    +

                                                    Requirements

                                                    +
                                                    Strong quantitative skills with an advanced degree in one or more of the following areas: statistics, economics, Econometrics, financial engineering, mathematics, and computer science & Engineering.
                                                    Experience in model development or validation with an advanced knowledge of financial/econometric modeling and statistical analysis techniques; experience with econometric and credit risk capital modeling or credit rating models is an asset.
                                                    Proficient in one or more programming languages such as SAS, SQL, MatLab, R, or Python. Familiarity with JSON and Moody’s CreditLens is an asset.
                                                    Strong analytical and problem-solving skills. High attention to details.
                                                    Excellent verbal and written communication skills.
                                                    Good time management and multitasking skills with minimal supervision.
                                                    +

                                                    +

                                                    Hours

                                                    +
                                                    37.5
                                                    +

                                                    +

                                                    Inclusiveness

                                                    +

                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                    +

                                                    +
                                                    ",,https://jobs.td.com/en-CA/jobs/13088078/quantitative-analyst-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-21T15:47:05.480Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/68003976-quantitative-analyst-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13088078/quantitative-analyst-i-toronto-ca/,expired,2021-06-14T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +cef0311c-c005-47e3-8647-370ed9344348,68393046,Deloitte,"Machine Learning/NLP Lead, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-17T21:51:03.881Z,"

                                                    Job Type: Permanent
                                                    Primary Location: Toronto, Ontario, Canada
                                                    All Available Locations: Toronto; Calgary; Kitchener; Montreal; Ottawa; Vancouver

                                                    +

                                                    Learn from deep subject matter experts through mentoring and on the job coaching
                                                    Be encouraged to deepen your technical skills…whatever those may be.
                                                    Be empowered to lead and have impact with clients, our communities and in the office.

                                                    +
                                                    +
                                                    +

                                                    +

                                                    Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                    +
                                                    +
                                                    +

                                                    What will your typical day look like?

                                                    +

                                                    -

                                                    At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                    -
                                                      -

                                                      Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                      -

                                                      Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                      -

                                                      At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                      How we hire

                                                      At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                      Learn more about our hiring process +
                                                      +

                                                      As an NLP Lead, you will lead the development of deep learning models specially in the NLP field to deliver best-of-breed solutions for clients’ business problems and work with large amounts of unstructured data on a granular level, from various data sources. You will take a hands-on approach in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

                                                      +

                                                      You will also design analytical plans and communicate insights on client projects and provide mentorship in planning and data collection, assist in pitches and proposal bids, assist in different areas of project management, including client projects and internal initiatives.

                                                      +
                                                      +
                                                      +

                                                      About the team

                                                      +

                                                      -
                                                      ",,https://www.shopify.ca/careers/data-engineer_4d2eeb3b-b6b7-4896-9172-f1562bb9cac4,feed-importer@jobboard.io,,,,2022-03-10T07:38:03.849Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/111956898-data-engineer-at-shopify-inc,,expired,2022-03-03T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -9ea7c052-90fd-48d6-afa0-135ab2fe21b4,112306397,Google,"Research Intern, PhD, Summer 2022",on_site,"Ontario, Canada",2022-03-05T07:33:03.056Z,"
                                                      -2022-03-03T17:32:10.157Z
                                                      -
                                                        -
                                                      • Share
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                                                        Save -
                                                      • -

                                                      Research Intern, PhD, Summer 2022

                                                        -
                                                      • Google
                                                      • -
                                                      • In-office:
                                                        - Waterloo, ON, Canada -
                                                      • -
                                                      • + 1 more location
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                                                      -

                                                      Please complete your application before April 8th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                      -

                                                      NOTE: This internship is intended for students who are pursuing a PhD degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                      -

                                                      To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                      Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                      -
                                                      -

                                                      Qualifications

                                                      -

                                                      Minimum qualifications:

                                                      -
                                                        -
                                                      • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
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                                                      • Experience in one area of computer science, e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar.
                                                      • -
                                                      -

                                                      Preferred qualifications:

                                                      -
                                                        -
                                                      • Currently attending a degree program in Canada.
                                                      • -
                                                      • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                      • -
                                                      • Relevant experience as a researcher, including internships, full-time, or at a lab.
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                                                      • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
                                                      • -
                                                      • Experience with one or more general purpose programming languages
                                                      • -
                                                      • Ability to speak and write in English fluently.
                                                      • -
                                                      +

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      -
                                                      -
                                                      -

                                                      About the job

                                                      -

                                                      Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                      Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                      -

                                                      Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                      Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                      -
                                                      -
                                                      -
                                                      -

                                                      Responsibilities

                                                        -
                                                      • Develop and execute a research agenda
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                                                      • Create and support a productive and innovative team, including working with peers, managers, and teams.
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                                                      Locations

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                                                      Enough about us, let’s talk about you

                                                      +

                                                      -
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                                                      -
                                                      +
                                                      +

                                                      You are someone with:

                                                      +
                                                      • Deep learning experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                      • 6+ years relevant work experience with applying DL, especially for NLP and working with data in any industry
                                                      • Experience with social media analytics using either AWS, Azure or GCP
                                                      • Strong experience with Machine Learning agile project management and other statistical analytical techniques, data mining, and predictive models is required
                                                      • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                      • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required. Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                      • +
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                                                      -To navigate, press the arrow keys.
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                                                      Why Deloitte?

                                                      +

                                                      Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                      +
                                                      • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                      • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                      • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                      • +
                                                      +


                                                      The next step is yours

                                                      +

                                                      Sound like The One Firm. For You?

                                                      +

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      +

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      +

                                                      +

                                                      Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                      ",,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,feed-importer@jobboard.io,,,,2021-07-18T14:00:06.666Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/68393046-machine-learning-nlp-lead-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-NLP-Lead%2C-Omnia-AI-ON-M5C-3G7/731968300/,expired,2021-06-17T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +3e73c473-df8e-4554-b850-0ba770ca98df,68393047,Deloitte,"Data Scientist, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-17T21:51:03.933Z,"

                                                      Job Type: Permanent
                                                      Primary Location: Toronto, Ontario, Canada
                                                      All Available Locations: Toronto; Ottawa; Vancouver

                                                      +

                                                      Learn from deep subject matter experts through mentoring and on the job coaching
                                                      Be encouraged to deepen your technical skills…whatever those may be.
                                                      Be empowered to lead and have impact with clients, our communities and in the office.

                                                      -
                                                      +
                                                      +

                                                      +

                                                      Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                      -
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                                                      -
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                                                      What will your typical day look like?

                                                      +

                                                      -
                                                      Keyboard shortcuts
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                                                      +

                                                      As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                      -
                                                      Map DataMap data ©2022 Google +
                                                      +
                                                      +

                                                      About the team

                                                      +

                                                      -
                                                      -
                                                      -
                                                      -
                                                      -
                                                      +

                                                      Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                      - +
                                                      +
                                                      +

                                                      Enough about us, let’s talk about you

                                                      +

                                                      -
                                                      -
                                                      -
                                                      -
                                                      +
                                                      +

                                                      You are someone with:
                                                      • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                      • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                      • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                      • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                      • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                      • Strong experience with Machine Learning Project management experience is an asset
                                                      • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                      • Enthusiastic about solving complex problems with a variety of analytical tools
                                                      • Professional services, consulting, or advisory experience is an asset
                                                      • Strong oral and written communication skills
                                                      • Interest in continuing to develop analytical and business development skills
                                                      • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                      • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                      +

                                                      Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                      -
                                                      -
                                                      Map data ©2022 Google
                                                      -
                                                      -
                                                      -

                                                      Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                      -
                                                      -
                                                      -
                                                      ",,"https://careers.google.com/jobs/results/78954456739128006-research-intern-phd-summer-2022/?distance=50&location=Toronto,%20Canada&q=data",feed-importer@jobboard.io,,,,2022-03-10T07:38:03.849Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/112306397-research-intern-phd-summer-2022-at-google,,expired,2022-03-05T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -b3043a26-bb9d-48c0-8770-19bbbec63faf,107306281,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-02-03T21:42:09.075Z,"
                                                      Available Locations
                                                      Vancouver

                                                      What\'s the opportunity?

                                                      -
                                                      -

                                                      We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                                                      -

                                                      -

                                                      At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                      -

                                                      Your responsibilities include:

                                                      -
                                                        -
                                                      • Designing, building, and improving machine learning-based software solutions
                                                      • -
                                                      • Collaborating with research and business teams to converge on the best solutions
                                                      • -
                                                      • Optimizing algorithms and prototypical solutions for efficient implementation
                                                      • -
                                                      • Supporting projects with thorough documentation of usage, design decisions and capabilities
                                                      • -
                                                      -

                                                      You\'re our ideal candidate if you:

                                                      -
                                                        -
                                                      • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                                                      • -
                                                      • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                                                      • -
                                                      • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                                                      • -
                                                      • Familiarity with the Unix command line and bash scripting
                                                      • -
                                                      • Familiarity with RDBMS and/or NoSQL graph databases
                                                      • -
                                                      • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                      • +

                                                        Why Deloitte?

                                                        +

                                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                        +
                                                        • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                        • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                        • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                        -
                                                      -

                                                      What\'s in it for you?

                                                      +


                                                      The next step is yours

                                                      +

                                                      Sound like The One Firm. For You?

                                                      +

                                                      At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                      +

                                                      By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                      +

                                                      +

                                                      Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                      ",,https://careers.deloitte.ca/job/Toronto-Data-Modeler%2C-Omnia-AI-ON-M5C-3G7/723745300/,feed-importer@jobboard.io,,,,2021-07-18T13:59:37.900Z,False,0,4,44,https://talenthub.vectorinstitute.ai/jobs/68393047-data-scientist-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Modeler%2C-Omnia-AI-ON-M5C-3G7/723745300/,expired,2021-06-17T21:51:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +624ec8ad-fd14-48c3-b060-df25cdadd9c7,68393069,RBC,Data Engineer,on_site,"Toronto, Ontario, Canada",2021-06-17T21:53:07.019Z,"
                                                      +

                                                      What is the opportunity?

                                                      +

                                                      Wealth Management Applied Analytics and Innovation (WM AI) is responsible for developing and implementing a data and analytics strategy that delivers key insights to Senior Management, Advisors, and supporting functions across RBC Wealth Management. The team leverages deep experience in business strategy, Data Science, and visualization techniques to support its goal of empowering the organization with actionable insights to drive its ongoing success.

                                                      +

                                                      +

                                                      Within WM AI, the Data Science team is responsible for driving data reporting as well as advanced insight and innovation for the Wealth Management business by leveraging emergent big-data technologies, machine learning techniques, and data sources from across Wealth Management and RBC.

                                                      +

                                                      +

                                                      This Data Engineering role is an opportunity to perform product development, programming, ETL and database work in support of Data Science, Data Reporting & Visualization, and Product Development functions within a small team using technologies including but not limited to SQL Server, AWS, Python, C#, SSIS, AWS, Windows, Linux, and the Apache Hadoop ecosystem

                                                      +

                                                      +

                                                      What will you do?

                                                        -
                                                      • Build cutting-edge software solutions that impact millions of users
                                                      • -
                                                      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                                                      • -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                                                      • -
                                                      • Leaders who support your development through coaching and managing opportunities
                                                      • -
                                                      • Ability to make a difference and lasting impact from a local-to-global scale
                                                      • +
                                                      • Design, develop, implement and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities.
                                                      • +
                                                      • Design and implement new or enhanced data processes or tools.
                                                      • +
                                                      • Ensure that your work is well-documented and developed in conjunction with other data engineers and the Data Visualization and Data Science teams.
                                                      • +
                                                      • Assist in current day-to-day support activities of Data Visualization and Data Science teams, including generating reporting data sets for business users using Tableau, Excel, or other delivery methods.
                                                      • +
                                                      • Be a part of a start-up like setting where fast-fail is highly valued, level of uncertainty is high and requirements are not all defined in advance.
                                                      -

                                                      About Borealis AI

                                                      -

                                                      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                      -

                                                      Inclusion and Equal Opportunity Employment

                                                      -

                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:01:37.409Z,False,0,5,33,https://talenthub.vectorinstitute.ai/jobs/107306281-machine-learning-software-engineer-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -442ef64a-d5da-4f40-815d-89fa9d9dbdf5,107306279,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-02-03T21:42:08.943Z,"

                                                      What\'s the opportunity?

                                                      -
                                                      -

                                                      We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                      -

                                                      As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                      -

                                                      Your responsibilities include:

                                                      -
                                                        -
                                                      • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                      • -
                                                      • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                      • -
                                                      • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                      • -
                                                      • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                      • -
                                                      • Grow and develop the team, helping each team member advance in their career.
                                                      • -
                                                      -

                                                      You\'re our ideal candidate if you:

                                                      +

                                                      What do you need to succeed?

                                                      +

                                                      Must Have:

                                                        -
                                                      • Have 7+ years of experience delivering software projects to production;
                                                      • -
                                                      • Have experience managing a team of engineers;
                                                      • -
                                                      • Have experience developing modular, robust, scalable software in a modern programming language;
                                                      • -
                                                      • Experience working with business, product and other technical teams;
                                                      • -
                                                      • Experience with scaling and performance of large systems;
                                                      • -
                                                      • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                      • -
                                                      • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                      • -
                                                      • Have background in machine learning or a related field;
                                                      • -
                                                      • Experience with Capital Markets or any financial domain is a big plus.
                                                      • +
                                                      • Bachelor’s Degree in Computer Science or related quantitative discipline (e.g., Engineering, Physics, Mathematics, Statistics, Economics)
                                                      • +
                                                      • 3+ years’ proven experience in database design, data manipulation and/or software engineering role using SQL Server or similar RDBMS environments, including stored procedures, views, and ETL processes (Extract, Transform, Load).
                                                      • +
                                                      • Experience using cloud-enabled technologies such as Amazon Web Services (AWS), specifically S3, Athena, EMR, RDS, or other AWS database related products.
                                                      • +
                                                      • Drive to ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, normalization, and transformation.
                                                      • +
                                                      • Demonstrated knowledge of advanced SQL and at least one procedural/object-oriented programming language (Python, C, C#, Java, etc).
                                                      • +
                                                      • +Excellent teamwork and collaboration skills. Good communication with peers and end users, to understand and translate the business requirements into data-related recommendations and solutions. +
                                                      -
                                                      -

                                                      What\'s in it for you?

                                                      +

                                                      +

                                                      Nice to Have:

                                                        -
                                                      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                      • -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                      • -
                                                      • Leaders who support your development through coaching and managing opportunities;
                                                      • -
                                                      • Ability to make a difference and lasting impact from a local-to-global scale.
                                                      • +
                                                      • Experience with big data analytics technologies (e.g. Hadoop, Spark, Kafka); experience compiling, manipulating and analyzing large datasets, with a good understanding of data processing frameworks.
                                                      • +
                                                      • +Experience developing SQL Server Integration Services would be beneficial. Programming experience in Unix shell scripting. +
                                                      • +
                                                      • Experience with dev-ops and continuous deployment models (e.g. Docker, Jenkins).
                                                      • +
                                                      • +Experience using Git, Github, Zenhub. Experience in agile design methodologies and frameworks. +
                                                      -

                                                      About Borealis AI

                                                      -

                                                      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                      -

                                                      Inclusion and Equal Opportunity Employment

                                                      -

                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:00:32.725Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/107306279-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -b3043a26-bb9d-48c0-8770-19bbbec63faf,107306281,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-02-03T21:42:09.075Z,"
                                                      Available Locations
                                                      Vancouver

                                                      What\'s the opportunity?

                                                      -
                                                      -

                                                      We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                                                      -

                                                      At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                      -

                                                      Your responsibilities include:

                                                      +

                                                      What’s in it for you?

                                                      +

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                        -
                                                      • Designing, building, and improving machine learning-based software solutions
                                                      • -
                                                      • Collaborating with research and business teams to converge on the best solutions
                                                      • -
                                                      • Optimizing algorithms and prototypical solutions for efficient implementation
                                                      • -
                                                      • Supporting projects with thorough documentation of usage, design decisions and capabilities
                                                      • +
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                      • +
                                                      • Leaders who support your development through coaching and managing opportunities
                                                      • +
                                                      • Ability to make a difference and lasting impact
                                                      • +
                                                      • Work in a dynamic, collaborative, progressive, and high-performing team
                                                      • +
                                                      • A world-class training program in financial services
                                                      -

                                                      You\'re our ideal candidate if you:

                                                      +

                                                      +

                                                      +

                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 155 Wellington Street West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salaried
                                                      Required Travel (%): 0
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Application Deadline: 06/30/2021
                                                      Platform: Wealth Management

                                                      Req ID: 376802
                                                      Ad Code(s):

                                                      +

                                                      +

                                                      +
                                                      ",,https://jobs.rbc.com/ca/en/job/376802/Data-Engineer,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-01T22:39:05.616Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/68393069-data-engineer-at-rbc,https://jobs.rbc.com/ca/en/job/376802/Data-Engineer,expired,2021-06-17T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +3db7c0b1-5a50-49ec-8322-a761c933b363,68393073,RBC,"Manager, Pricing Analytics",on_site,"Toronto, Ontario, Canada",2021-06-17T21:53:07.602Z,"
                                                      +

                                                      What is the opportunity?

                                                      +

                                                      RBC Home Equity Financing (HEF) is the leading lender of residential mortgages in Canada, and RBC’s single largest business with over $300 Billion in assets.

                                                      +

                                                      As the Manager, Pricing Analytics, you will use advanced analytics to provide senior leadership insights into the impacts of pricing strategies on the HEF portfolio. Also, you will maintain reporting package that focuses on the pricing aspect of the HEF business that will help drive key decisions with a high degree of impact. Furthermore, you will leverage pricing optimization tools to generate monthly pricing proposal under Customized Pricing strategies.

                                                      +

                                                      +

                                                      What will you do?

                                                        -
                                                      • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                                                      • -
                                                      • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                                                      • -
                                                      • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                                                      • -
                                                      • Familiarity with the Unix command line and bash scripting
                                                      • -
                                                      • Familiarity with RDBMS and/or NoSQL graph databases
                                                      • -
                                                      • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                      • +
                                                      • Obtain an in-depth understanding of HEF products and segments in order to effectively provide value-added insights
                                                      • +
                                                      • Build reporting that measures the success of new pricing strategies under Customized Pricing and make strategy recommendations
                                                      • +
                                                      • Utilize pricing optimization tool to create pricing proposal based on previous results and current rate environment
                                                      • +
                                                      • Enhance the existing Tableau tools to incorporate on-going user feedback, deliver further efficiency through automation of processes and expose timely and relevant information to end-users
                                                      • +
                                                      • Work with the HEF Pricing team and others to advice on pricing decisions through use of reporting, leading edge analytics, measurement of key performance indicators, and early detection of trends & anomalies
                                                      • +
                                                      • Leverage data-driven tactics to provide key analytical and business insights to support senior leaders in managing the pricing strategy for the Home Equity portfolio
                                                      • +
                                                      • Create materials to communicate insights developed either through new reporting or specific stakeholder presentations and working sessions
                                                      • +
                                                      • Monitor the use of delegated pricing authorities to ensure compliance
                                                      -
                                                      -

                                                      What\'s in it for you?

                                                      +

                                                      +

                                                      What do you need to succeed?

                                                      +

                                                      Must-have

                                                        -
                                                      • Build cutting-edge software solutions that impact millions of users
                                                      • -
                                                      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                                                      • -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                                                      • -
                                                      • Leaders who support your development through coaching and managing opportunities
                                                      • -
                                                      • Ability to make a difference and lasting impact from a local-to-global scale
                                                      • +
                                                      • 2-4 years of experience in an analytical and reporting capacity supporting a line of business across major Financial Institution(s)
                                                      • +
                                                      • Strong analytical skills with the ability to interpret complex data and provide insights to senior management
                                                      • +
                                                      • Relational data modeling and strong SQL knowledge to develop semantic data model and/or extract data
                                                      • +
                                                      • Proficient in use of SAS, Tableau, Excel, PPT, or other data visualization tools
                                                      • +
                                                      • Self-starter—ability to work and think through problems and assignments in a self-directed manner
                                                      • +
                                                      • Excellent communication skills along with ability to partner effectively with and direct both internal and external partners
                                                      -

                                                      About Borealis AI

                                                      -

                                                      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                      -

                                                      Inclusion and Equal Opportunity Employment

                                                      -

                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:01:37.409Z,False,0,5,33,https://talenthub.vectorinstitute.ai/jobs/107306281-machine-learning-software-engineer-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -442ef64a-d5da-4f40-815d-89fa9d9dbdf5,107306279,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-02-03T21:42:08.943Z,"

                                                      What\'s the opportunity?

                                                      -
                                                      -

                                                      We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                      -

                                                      -

                                                      As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                      -

                                                      Your responsibilities include:

                                                      -
                                                        -
                                                      • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                      • -
                                                      • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                      • -
                                                      • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                      • -
                                                      • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                      • -
                                                      • Grow and develop the team, helping each team member advance in their career.
                                                      • -
                                                      -

                                                      You\'re our ideal candidate if you:

                                                      +

                                                      +

                                                      Nice-to-have

                                                        -
                                                      • Have 7+ years of experience delivering software projects to production;
                                                      • -
                                                      • Have experience managing a team of engineers;
                                                      • -
                                                      • Have experience developing modular, robust, scalable software in a modern programming language;
                                                      • -
                                                      • Experience working with business, product and other technical teams;
                                                      • -
                                                      • Experience with scaling and performance of large systems;
                                                      • -
                                                      • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                      • -
                                                      • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                      • -
                                                      • Have background in machine learning or a related field;
                                                      • -
                                                      • Experience with Capital Markets or any financial domain is a big plus.
                                                      • +
                                                      • Passionate about the mortgage industry, and being part of a greater team
                                                      • +
                                                      • Knowledge of Linx, experience with RBC database and mortgage data, capable of coding in other programming languages (i.e. Python, Spark SQL, etc.)
                                                      -
                                                      -

                                                      What\'s in it for you?

                                                      +

                                                      +

                                                      What’s in it for you?

                                                      +

                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                        -
                                                      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                      • -
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                      • -
                                                      • Leaders who support your development through coaching and managing opportunities;
                                                      • -
                                                      • Ability to make a difference and lasting impact from a local-to-global scale.
                                                      • +
                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, fair compensation, commissions, and stock where applicable
                                                      • +
                                                      • Leaders who help your development through coaching and managing opportunities
                                                      • +
                                                      • Ability to make a difference and lasting impact
                                                      • +
                                                      • Work in a dynamic, collaborative, progressive, and high-performing team
                                                      -

                                                      About Borealis AI

                                                      -

                                                      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                      -

                                                      Inclusion and Equal Opportunity Employment

                                                      -

                                                      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                      ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:00:32.725Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/107306279-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -6ae8a40a-ade7-485f-96cf-aae5b36b2ace,112942528,TD Bank Group,Business Intelligence and Reporting Analyst III,on_site,"Toronto, ON",2022-03-07T20:33:04.738Z,"
                                                      +

                                                      +

                                                      +

                                                      Join our Talent Community
                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                      JOB SUMMARY
                                                      City: Toronto
                                                      Address: 88 Queen Quay West
                                                      Work Hours/Week: 37.5
                                                      Work Environment: Office
                                                      Employment Type: Permanent
                                                      Career Level: Experienced Hire/Professional
                                                      Pay Type: Salaried
                                                      Required Travel (%): 0
                                                      Exempt/Non-Exempt: N/A
                                                      People Manager: No
                                                      Application Deadline: 06/27/2021
                                                      Platform: Personal & Commercial Banking

                                                      Req ID: 376321
                                                      Ad Code(s):

                                                      +

                                                      +

                                                      +
                                                      ",,https://jobs.rbc.com/ca/en/job/376321/Manager-Pricing-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-06-28T22:14:08.127Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/68393073-manager-pricing-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/376321/Manager-Pricing-Analytics,expired,2021-06-17T21:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +b122e8a6-9a1a-448a-a924-c9756a5f73f7,68999672,TD Bank Group,Fixed Income Data Analyst,on_site,"Toronto, ON",2021-06-21T15:42:05.178Z,"

                                                      Company Overview

                                                      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                      @@ -29039,55 +26744,40 @@ b3043a26-bb9d-48c0-8770-19bbbec63faf,107306281,Borealis AI,Machine Learning Soft

                                                      Department Overview

                                                      -

                                                      What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                      -

                                                      The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                      -

                                                      This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                      -

                                                      Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                      +

                                                      What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                      +

                                                      We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                      Job Description

                                                      -

                                                      Looking for a role where career opportunity and growth keeps pace with your own initiative and growing knowledge in business intelligence?

                                                      -

                                                      In this role, you will work with a focused, specialized team to provide specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities. As an experienced Analyst, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

                                                      -

                                                      As an Analyst III, Business Intelligence & Reporting Analyst, you will:

                                                      +

                                                      +

                                                      About this Role

                                                      +

                                                      As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                      +

                                                      In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                      +

                                                      +

                                                      As a Senior Business Insights Analyst, you will:

                                                        -
                                                      • Produce specialized reporting packages, dashboards and scorecards for businesses, with focus on the following functions: to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision-making,
                                                      • -
                                                      • Own the implementation of initiatives in support of overall business/function strategy
                                                      • -
                                                      • Conduct analysis to provide enhanced BI to inform management leadership team
                                                      • -
                                                      • Create complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                      • -
                                                      • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                                      • -
                                                      • Develop important and insightful commentary/insights on new and existing reporting packages.
                                                      • -
                                                      • Work with business partners to understand business objectives and develop valuable reporting and ad-hoc data extracts
                                                      • -
                                                      • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                      • -
                                                      • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                      • -
                                                      • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                      • -
                                                      • Demonstrate your professional experience to provide specialized guidance/assistance to function supported
                                                      • -
                                                      • Employ good understanding of reporting and BI tools, platforms, and techniques as well as strong knowledge of various data sources (and ability to connect to multiple data sources and systems relevant to the business unit supported)
                                                      • -
                                                      • Connect and query data or obtain the data and prepare summaries and reports
                                                      • -
                                                      • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or raised issues and other matters
                                                      • -
                                                      • Independently perform tasks end to end
                                                      • +
                                                      • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                                      • +
                                                      • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                      • +
                                                      • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                                      • +
                                                      • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                                      • +
                                                      • Execute on data requests accurately and within a timely manner
                                                      • +
                                                      • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                                      • +
                                                      • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                      • +
                                                      • Provides day-to-day support and delivery of analytics
                                                      • +
                                                      • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                                      • +
                                                      • Considered an authority within a given area
                                                      • +
                                                      • Oversee and/or independently perform tasks from end to end

                                                      Requirements

                                                      -

                                                      What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                      +What can you bring to TD?

                                                      +

                                                      Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                      • Undergraduate degree or technical certificate
                                                      • -
                                                      • Three (3) or more years relevant experience
                                                      • -
                                                      -
                                                      -

                                                      -

                                                      Additional Information

                                                      -
                                                      Must have skills:

                                                      -
                                                        -
                                                      • Creating Reports and Dashboards
                                                      • -
                                                      • Data Analysis
                                                      • -
                                                      -

                                                      Nice to have:

                                                      -
                                                        -
                                                      • SQL
                                                      • -
                                                      • Tableau
                                                      • +
                                                      • Five (5) or more years relevant experience

                                                      @@ -29097,310 +26787,339 @@ b3043a26-bb9d-48c0-8770-19bbbec63faf,107306281,Borealis AI,Machine Learning Soft

                                                      Inclusiveness

                                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                      -
                                                      ",,https://jobs.td.com/en-CA/jobs/15051070/business-intelligence-and-reporting-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-10T15:15:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/112942528-business-intelligence-and-reporting-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15051070/business-intelligence-and-reporting-analyst-iii-toronto-ca/,expired,2022-03-07T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c4a3e03d-8d8a-4a99-8b71-b7074aa9edb3,107982758,integrate.ai,Software Engineer,full,Toronto or Remote (within 5 hours of ET),2022-02-08T05:02:47.898Z,"

                                                      At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                      -

                                                      We are looking for an incredible Software Engineer who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                      -

                                                      Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                      -

                                                      What you will be doing:

                                                      -
                                                        -
                                                      • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                      • -
                                                      • Building impactful services and features in a way that you can be proud of
                                                      • -
                                                      • Operating services at scale and with world class reliability
                                                      • -
                                                      • Extending and improving your services to drive better outcomes for people
                                                      • -
                                                      • Contributing to the growth and development of your colleagues and the company
                                                      • -
                                                      • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                      • -
                                                      • Building client facing and internal web applications
                                                      • -
                                                      • Working with Data Scientists to create robust machine learning applications
                                                      • -
                                                      • Be responsible for designing and implementing features for several large projects
                                                      • -
                                                      • Participating in infrastructure development and operations
                                                      • -
                                                      • Managing existing codebase and developing new products for customers
                                                      • -
                                                      • Implementing integration with existing customer systems and providing support and documentation
                                                      • -
                                                      • Participating in agile project planning and estimation
                                                      • -
                                                      • Providing on-demand developer support directly to clients and their partners
                                                      • -
                                                      -

                                                      We Value:

                                                      -
                                                        -
                                                      • 5+ years experience writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                      • -
                                                      • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                      • -
                                                      • Experience shipping code to production
                                                      • -
                                                      • The ability to give constructive feedback on code reviews
                                                      • -
                                                      • Experience with relational databases and SQL
                                                      • -
                                                      • Superior understanding of computer science fundamentals
                                                      • -
                                                      • Understanding of value and operational cost of delivered solutions
                                                      • -
                                                      • Working in an agile environment
                                                      • -
                                                      • Experience with AWS/GCP infrastructure is a plus
                                                      • -
                                                      • Great desire and willingness to learn
                                                      • -
                                                      • Contributions to the growth and success of your teammates
                                                      • -
                                                      -

                                                      -

                                                      The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                      -

                                                      We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                      ",,https://boards.greenhouse.io/integrateai/jobs/5892217002,feed-importer@jobboard.io,,,,2022-03-10T15:19:37.092Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/107982758-software-engineer-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5892217002,expired,2022-02-08T05:02:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, -b831ba83-29fc-4d88-a863-dcab7994c147,111371906,Scotiabank,THRIVE Summer Internship Program (Summer 2022),on_site,Canada : Ontario : Toronto,2022-03-01T05:05:56.739Z,"

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Requisition ID: 138693

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      - -

                                                      THRIVE Summer Internship Program (Toronto)

                                                      Summer 2022 (June to August)

                                                      -

                                                      -

                                                      Application Deadline: February 19th at 11:59 pm EST

                                                      -

                                                      -

                                                      Why work for Scotiabank?

                                                      -

                                                      Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                      -

                                                      This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                      -


                                                      Who we are:

                                                      -

                                                      -

                                                      Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                      -

                                                      -

                                                      Your Summer at-a-glance:

                                                      -

                                                      -

                                                      This is YOUR opportunity to learn from the best of the best and set yourself up for career success. The first month of this paid internship will focus on giving you all the skills you need to be successful, including Wall Street Prep courses, Bloomberg learning, Cap IQ, case competitions, wellness challenges, and a coding course. In your second month, you’ll get to put all the learning to use as you spend time job shadowing in Global Capital Markets and Corporate & Investment Banking.

                                                      -

                                                      -

                                                      Throughout the summer you’ll also benefit from a mentorship program that pairs you with mentors from Corporate and Investment Banking and Global Capital Markets to support your learning and answer any questions you might have! You will also attend regular business line fireside talks to learn all the ins and outs of working in CIB and GCM at Scotiabank.

                                                      -

                                                      -

                                                      Sounds exciting? There’s more! Because we’re Canada’s most international bank, we had to include a little adventure! Subject to Covid restrictions, you’ll be participating in a 4-day trip to New York City, where you’ll get the chance to meet the team in New York, network with business leaders, and enjoy the sights!

                                                      -

                                                      -

                                                      And that’s not all! This internship program secures your Summer 2023 internship in Investment Banking or Sales and Trading!

                                                      -

                                                      -

                                                      Eligibility:

                                                      -

                                                      -

                                                      · Identify as a female pursuing a STEM degree OR identify as black OR identify as indigenous

                                                      -

                                                      · Currently in 2nd year of Undergraduate study (not MBA/Master)

                                                      -

                                                      · Proven record of outstanding achievement in academic and extracurricular activities

                                                      -

                                                      · A clearly defined interest in Finance and the Financial Markets

                                                      -

                                                      · Strong quantitative skills

                                                      -

                                                      · Strong written and verbal communication skills

                                                      -

                                                      · A high level of attention to detail

                                                      -

                                                      · High professional standards

                                                      -

                                                      · Demonstrated ability to quickly adapt to new situations

                                                      -

                                                      · A strong sense of personal integrity and teamwork

                                                      -

                                                      · A high level of energy and a keen desire to learn new concepts

                                                      -

                                                      · Independent thinker and proven ability to make decisions

                                                      -

                                                      -

                                                      How do I Apply?

                                                      -

                                                      -

                                                      You MUST complete ALL steps outlined below to be considered for this position. Incomplete applications will not be considered.

                                                      -

                                                      -

                                                      For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                                      -

                                                      -

                                                      1) Complete your PLUM Profile here

                                                      -

                                                      2) Take a screenshot of your completed PLUM profile

                                                      -

                                                      3) Complete a very short one-way video interview by clicking here

                                                      -

                                                      4) Apply to the position by clicking “Apply” on the job description page. When completing your application, it will prompt you to submit your resume. Do not attach your resume! Instead, attach the screenshot of your PLUM profile and your Transcript under the ""resume"" section. Cover letters are optional – not required.

                                                      -

                                                      -

                                                      We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                      -

                                                      -

                                                      Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                                      -

                                                      -

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-THRIVE-Summer-Internship-Program-%28Summer-2022%29-ON/554528017/,feed-importer@jobboard.io,,,,2022-03-11T05:11:14.607Z,False,0,0,40,https://talenthub.vectorinstitute.ai/jobs/111371906-thrive-summer-internship-program-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-THRIVE-Summer-Internship-Program-%28Summer-2022%29-ON/554528017/,expired,2022-03-01T05:05:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -2190b888-d7a1-4564-86e1-7b4c6e5e1c3c,109876468,integrate.ai,"Vice President, Engineering",on_site,Toronto,2022-02-20T05:05:09.412Z,"

                                                      At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                      -

                                                      We’re looking for a Vice President, Engineering with extensive experience in software-as-a-service products on modern cloud infrastructure, with a particular focus on business-to-business products in enterprise environments. Experience with data-driven and/or machine learning systems will also be a significant asset.

                                                      -

                                                      Integrate.ai’s Vice President, Engineering will ultimately be responsible for ensuring that the product vision is realized through excellence in execution. They will do this by attracting and nurturing engineering talent, and creating the systems and processes that will allow the team to deliver against the roadmap.

                                                      -

                                                      -

                                                      Engineering Team & Culture

                                                      -
                                                        -
                                                      • Attract and retain top talent
                                                      • -
                                                      • Support, develop and manage people
                                                      • -
                                                          -
                                                        • Engage and energize the team
                                                        • -
                                                        • Communicate ideas and priorities clearly and in a manner that compels action and results
                                                        • -
                                                        • Identify good managers for the team, hire them, and be able to groom that skill set over time
                                                        • -
                                                        -
                                                      -

                                                      Execution

                                                      -
                                                        -
                                                      • Ensure that the product vision is realized through excellence in execution
                                                      • -
                                                      • Ensure teams are appropriately resourced and structured to deliver against the roadmap
                                                      • -
                                                      -

                                                      Technical Leadership

                                                      +
                                                      ",,https://jobs.td.com/en-CA/jobs/13142417/fixed-income-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-06-24T15:48:54.050Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/68999672-fixed-income-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13142417/fixed-income-data-analyst-toronto-ca/,expired,2021-06-21T15:42:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +827d9b32-500c-4939-b9d4-739a3dc6545d,69026173,Scotiabank,"GBP - Data Analyst & BI Developer, Fall 2021 Co-op",on_site,"Toronto, ON, Canada",2021-06-22T02:32:09.362Z," + + +

                                                      GBP - Data Analyst & BI Developer

                                                      Fall 2021 (September to December)

                                                      +

                                                      Why work for Scotiabank?

                                                      +

                                                      Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                      +

                                                      This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                      +

                                                      Who We Are:

                                                      +

                                                      Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                      +

                                                      Global Business Payments (GBP) offers comprehensive business banking solutions on a global basis to small business, commercial and corporate clients of the Bank. The Business Payments Product team is responsible for enhancing the customer experience for payment products while maximizing revenue. The Business Payments team manages the following digital products:

                                                        -
                                                      • Co-develop technical strategy other technical leaders in the company, and develop and maintain a technical roadmap that enables continuous innovation
                                                      • -
                                                      • Provide technical leadership to ensure sound architectural design and software development
                                                      • -
                                                      • Develop technology strategy that influences product roadmap and helps define the art of the possible
                                                      • +
                                                      • Electronic Funds Transfer (EFT)
                                                      • +
                                                      • Wire Payments
                                                      • +
                                                      • Bulk Interac Transfer
                                                      • +
                                                      • Business Taxes
                                                      -

                                                      Product Planning

                                                      +

                                                      Your Work Term At-A-Glance:

                                                      +

                                                      During your internship you will be a member of the Trade Finance Team working within Global Business Payments (GBP). This team provides GBP Trade Sales with robust analytics and reporting to drive new business, enhance the customer experience, and make better data-driven decisions. This role is perfect for you if you are both a technical as well as business-oriented individual as you will assist in developing Business Intelligence Reports, data mining and other ad-hoc duties

                                                        -
                                                      • Prioritization that effectively balances short and long term product goals
                                                      • -
                                                      • Work in close partnership with the Product and Science teams to ensure that Engineering delivers against the product roadmap
                                                      • +
                                                      • Provide support to the GBP Trade Finance Product team by creating and maintaining analytical tools, Power BI / Tableau / Excel reports
                                                      • +
                                                      • Translate business needs into technical requirements, queries and modelling.
                                                      • +
                                                      • Maintain the intake of Sales data requests and action on their own when appropriate.
                                                      -

                                                      Other

                                                      +

                                                      Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                      +

                                                      This role is for you if you are/have:

                                                        -
                                                      • As a member of the leadership team, active participant in developing company strategy and goal setting
                                                      • -
                                                      • Drive meaningful action with effective and fast decision making that takes into account the interests of all stakeholders – employees, customers, shareholders, and partners
                                                      • -
                                                      • Ability to work well through ambiguity, confidence in making tough calls and leading through adversity
                                                      • -
                                                      • Solution-building skills; proven ability to understand business challenges, structure sophisticated problems, and develop solutions
                                                      • +
                                                      • University degree in Computer Science or a related discipline.
                                                      • +
                                                      • Proficient with Microsoft Office ( Excel, Powerpoint, Word)
                                                      • +
                                                      • Excellent analytical, written and verbal communication skills
                                                      • +
                                                      • Experience using Business Intelligence (Tableau and Power BI) and CRM (Salesforce) tools.
                                                      • +
                                                      • Exposure, or experience with SQL, Python and R is an asset.
                                                      • +
                                                      • Exposure, or experience in financial business reporting and statistical modelling
                                                      • +
                                                      • Great attention to detail, proactive and responsive to short deadlines
                                                      • +
                                                      • Exposure to operational business processes, and well developed problem-solving and troubleshooting capabilities
                                                      • +
                                                      • Ability to juggle multiple concurrent projects
                                                      • +
                                                      • Ability to work both independently and collaboratively within a business team
                                                      -

                                                      -

                                                      The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                      -

                                                      We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                      ",,https://boards.greenhouse.io/integrateai/jobs/5832659002,feed-importer@jobboard.io,,,,2022-03-11T05:11:14.607Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/109876468-vice-president-engineering-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5832659002,expired,2022-02-20T05:05:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Executive,Bachelors Degree,New Posting, -7a6219ef-75f3-4b5a-9e5d-81cce1e9c26f,114794889,Thomson Reuters,"Sr Applied Research Scientist, Natural Language Processing",on_site,"Ontario, Canada",2022-03-14T13:31:01.803Z,"
                                                      -

                                                      Senior Applied Research Scientist, NLP

                                                      -

                                                      -

                                                      Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking experienced scientists with a passion for solving problems using state-of-the-art Information Retrieval and Natural Language Processing.

                                                      -

                                                      -

                                                      What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government Services, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

                                                      -

                                                      -

                                                      As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for delivering advanced solutions that support Thomson Reuters customers solving the most challenging problems.

                                                      -

                                                      -

                                                      About the role

                                                      -

                                                      -
                                                      -

                                                      In this opportunity as a Senior Applied Research Scientist, you will:

                                                      -

                                                      -
                                                        -
                                                      • Experiment and Develop: You will drive the entire model development lifecycle, building, testing and delivering high quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                      • -
                                                      • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates.

                                                      • -
                                                      • Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.

                                                      • -
                                                      -
                                                      -
                                                      -
                                                        -
                                                      • Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                      • -
                                                      • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

                                                      • -
                                                      -

                                                      -

                                                      About you

                                                      -

                                                      -
                                                      -
                                                      -

                                                      Basic qualifications

                                                      -

                                                      -
                                                        -
                                                      • PhD in a relevant discipline or Master’s plus a comparable level of experience

                                                      • -
                                                      • At least five years experience building IR/NLP/ML systems

                                                      • -
                                                      • Solid software engineering skills for prototyping

                                                      • -
                                                      -
                                                      -
                                                      -
                                                      • Experience as a technical leader, coordinating and guiding the work of others

                                                      -

                                                      -

                                                      Preferred qualifications

                                                      -

                                                      -
                                                      • 8+ years academic or industry experience building IR or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                      -
                                                      -
                                                      -
                                                        -
                                                      • Demonstrated ability to translate customer needs into well-structured research/project plans

                                                      • -
                                                      • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                      • -
                                                      • Outstanding communication, organization, and data-driven decision making

                                                      • -
                                                      • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                      • -
                                                      -

                                                      -
                                                      -
                                                      -

                                                      What\'s in it for you

                                                      -

                                                      -

                                                      At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                      -

                                                      -
                                                      • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                      -
                                                      -
                                                      -
                                                      • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. 

                                                      -
                                                      +

                                                      How do I Apply?

                                                      +

                                                      For students, we believe evaluating you through relationships over resumes, and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume instead we ask that as part of your application, you complete the below:

                                                      +

                                                      1) Complete your PLUM Profile here

                                                      +

                                                      2) Save your PLUM Profile as PDF. Click here to learn how

                                                      +

                                                      3) Complete a very short one-way video interview by clicking here (if you have already done this, you don't need to do it again)

                                                      +

                                                      4) When it prompts you to submit your resume, do not attach your resume! Instead, attach your most recent transcript and your PLUM profile in one PDF under the ""resume"" section. Cover letters are optional.

                                                      +

                                                      Note: You do not need to complete your PLUM profile or video interview multiple times if you are applying to multiple positions. Also, we have full access to your entire profile from Plum and won’t use the screenshot but it’s a great reminder for each of you to have completed it.

                                                      +

                                                      We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs

                                                      +

                                                      **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must submit your PLUM Assessment and Video Interview. **

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-GBP-Data-Analyst-&-BI-Developer%2C-Fall-2021-Co-op-ON/547206417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:32:11.022Z,False,0,5,37,https://talenthub.vectorinstitute.ai/jobs/69026173-gbp-data-analyst-bi-developer-fall-2021-co-op-at-scotiabank,,expired,2021-06-22T02:32:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +9544afce-1df1-43d9-a65f-8d3478c813e5,69026177,Scotiabank,"Senior Analyst, Business Data Architecture",on_site,"Toronto, ON, Canada",2021-06-22T02:34:49.916Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      +

                                                      +

                                                      Please note that this role is open to experienced-hire-applicants too, not just graduates. As such, please apply with a resume and not just your Plum profile. This is not a student or new graduate program opportunity.

                                                      +

                                                      +

                                                      +

                                                      Purpose:

                                                      +

                                                      +

                                                      The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                      +

                                                      +

                                                      As part of the Data Architecture & Analysis team within the Data Office, the candidate will create Scotiabank Business Information Model (SBIM) and Reusable Authoritative Dataset (RAD), which standardize the way that business information and data are described and organized across the organization. The Sr. Analyst, Business Data Architecture role requires strong information organization and data analysis skills as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                      +

                                                      +

                                                      The candidate will work closely with other business data architects, data architects, data analysts, data modelers, analytics teams, technology teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise business data pipelines and services.

                                                      +

                                                      +


                                                      WHAT’S IN IT FOR YOU?

                                                      +

                                                      +

                                                      • Opportunity to make an impact in the digital transformation of Scotiabank
                                                      • Play a role in establishing the long-term data vision and contribute to the development of the Bank’s business data architecture
                                                      • Exposure across business lines, architecture and technology where data plays a critical role
                                                      • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

                                                      +

                                                      +

                                                      COMPETENCIES:

                                                      +


                                                      • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                      • Experience with information archiving and modeling, or knowledge in ontology modeling (e.g. RDF/S, OWL, SPARQL, SHACL)
                                                      • Strong customer focus and analysis skills to establish a deep understanding of the content and of business needs
                                                      • SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL, Sybase) would be a strong asset
                                                      • Programming and scripting skills (e.g., Java and/or Python) is an asset
                                                      • Subject area experience with Financial Industry products and services would be a strong asset: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                      • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance would be an asset
                                                      • Experience in data project implementation lifecycles would be an asset
                                                      • Experience with big data ecosystem tools (e.g. Hive, Pig, Sqoop and Spark) and NoSQL databases would be an asset
                                                      • Spanish would be an asset

                                                      +

                                                      +

                                                      KEY ACCOUNTABILITES:

                                                      +


                                                      • Analyzes and documents business terms that are used across the Bank and organizes them by their taxonomies
                                                      • Analyzes and documents the relationships between the business terms to build the Scotiabank Business Information Model (SBIM)
                                                      • Analyzes and documents the relationships between SBIM and data elements used across the organization, including the Reusable Authoritative Dataset (RAD)
                                                      • Supports the development of Scotiabank Data Domain Taxonomy
                                                      • Supports the SBIM related tooling evaluation
                                                      • Assists in cross-domain collaboration on business data architecture initiatives across the organization
                                                      • Maintains a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage across the bank
                                                      • Works in an Agile environment to develop Data Office capabilities

                                                      +


                                                      +

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Data-Architecture-ON-M5C2V9/548060217/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:34:51.703Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/69026177-senior-analyst-business-data-architecture-at-scotiabank,,expired,2021-06-22T02:34:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f8fb61cd-25f8-402c-8d15-5580b4c45147,69026178,Scotiabank,"Data Architect, Data Architecture & Analysis, Customer Insights, Data & Analytics",on_site,"Toronto, ON, Canada",2021-06-22T02:35:33.787Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      +

                                                      +

                                                      Purpose:

                                                      +

                                                      +

                                                      The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                      +

                                                      +

                                                      As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively and take a leading role in project-based initiatives to drive innovation and digital transformation throughout the Bank and Global Risk Management. The Data Architect role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                      +

                                                      +

                                                      The candidate will work closely with other data architects, data analysts, data modelers, analytics teams, technology teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data pipelines and services.

                                                      +

                                                      +

                                                      WHAT’S IN IT FOR YOU?

                                                      +

                                                      +

                                                      • Opportunity to make an impact in the digital transformation of Scotiabank
                                                      • Play a role in establishing the long-term data vision and contribute to the development of the Bank’s data architecture
                                                      • Exposure across business lines, architecture and technology where data plays a critical role
                                                      • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

                                                      +

                                                      +

                                                      COMPETENCIES

                                                      +


                                                      • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
                                                      • Deep experience with data analysis, modeling, metadata and data consumption
                                                      • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                      • Hands-on experience with big data ecosystem tools such as SQL, YAML, Airflow and Spark
                                                      • Experience with NoSQL databases would be an asset
                                                      • Ability to understand and suggest solutions to data design on an enterprise level
                                                      • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                      • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance would be an asset
                                                      • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. IBM Information Governance Catalog), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch)
                                                      • Experience in data project implementation lifecycles
                                                      • Experience with collaboration tools such as Confluence

                                                      +

                                                      +

                                                      KEY ACCOUNTABILITES

                                                      +


                                                      • Develops Reusable Authoritative Dataset (RAD) by completing the data analysis tasks:
                                                      o Create data flow diagrams
                                                      o Data source schema analysis
                                                      o Source to Target Mapping using YAML Configuration files
                                                      o Data validation
                                                      • Contributes to data pipelines automation and optimization by collaborating with the Data Engineering & Platform Engineering teams
                                                      • Assists in special high priority projects that require data analysis service at the enterprise level
                                                      • Helps define target state data architecture and ensures alignment of new initiatives to that target state
                                                      • Assists in the selection of data architecture tools and technology decisions
                                                      • Assists in cross-domain collaboration on data architecture initiatives across the organization
                                                      • Maintains a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage across the bank
                                                      • Works in an Agile environment to develop Data Office capabilities

                                                      +

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      +

                                                      +

                                                      Apply now »

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Data-Architect%2C-Data-Architecture-&-Analysis%2C-Customer-Insights%2C-Data-&-Analytics-ON-M5C2V9/548060717/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:35:35.257Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/69026178-data-architect-data-architecture-analysis-customer-insights-data-analytics-at-scotiabank,,expired,2021-06-22T02:35:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +87dac819-651f-47bf-beb2-7eb939e770c3,69027487,Scotiabank,"Business Analyst, QA Regulatory Reporting, AML Risk",on_site,"Toronto, ON, Canada",2021-06-22T02:48:21.909Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      +

                                                      +

                                                      +

                                                      +

                                                      Profile

                                                      +

                                                      +

                                                      +

                                                      The Business Analyst is responsible for writing business requirements associated to the enhancements of the Electronic Fund Transfers Reports (EFTRs) and Large Cash Transaction Reports (LCTRs) by applying his/her leadership capabilities, experience, and knowledge of business analysis methodologies, tools, and governance.

                                                      +

                                                      The Business Analyst will support the Director and Senior Managers of the Canadian Policy and Regulatory Reporting Team by driving the delivery of critical technology and operational requirements. The support encompasses writing business requirements, supporting the development and maintenance of related project plans and executing standard governance processes, interfacing with the various project and business teams. The Business Analyst ensures all activities conducted follow the governing regulations, internal policies and procedures.

                                                      +

                                                      +

                                                      +

                                                      Accountabilities

                                                      +

                                                        -
                                                      • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                      • -
                                                      • Perks: Social events & activities, employee discount programs

                                                      • -
                                                      • Social Impact: Paid time off for volunteering virtually or in your community

                                                      • +
                                                      • Leads and drives a customer focused culture throughout the team to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                      • +
                                                      • Working under the leadership of the Director and the Senior Managers, the Business Analyst will be directly responsible for driving the overall workstream execution by:
                                                      • +
                                                      +

                                                      - Creating and maintaining detailed business requirements documents

                                                      +

                                                      - Creating and maintaining all related business and project requirements documentation

                                                      +

                                                      - Working with other AML Project leads and business execution teams, both advisory and challenge functions, deep diving into workstream issues to drive resolutions

                                                      +
                                                        +
                                                      • Ensure documented processes and actual practices are aligned with enterprise policies and FINTRAC standards
                                                      • +
                                                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                      • +
                                                      • Delivering key insights from an AML Risk execution perspective to inform executive leadership
                                                      • +
                                                      • Providing input into the AML Risk plan view and required decisions / approaches in relations to assigned work packages
                                                      • +
                                                      • Coordinating with all relevant stakeholders
                                                      • +
                                                      • Identifying and raising any Enterprise activities that may be common across the business lines
                                                      • +
                                                      • Support the Director of the Canadian Policy and Regulatory Reporting, AML Risk with all on-going and ad-hoc program requirements to ensure successful delivery
                                                      • +
                                                      • Work with other key stakeholders within AML on as needed basis to ensure meeting requirements from program delivery, and reporting perspectives
                                                      • +
                                                      • Participate in the operational implementation processes by assisting in the development of communications and publications of audit closure memos, matrixes and all supporting documentations
                                                      • +
                                                      • Develop and maintain a sound knowledge and understanding of the Bank’s AML/ATF policies and procedures relating to the reporting of LCTRs and EFTRs (SWIFT and non- SWIFT)
                                                      • +
                                                      • Maintain ongoing knowledge of compliance regulations specific to the Proceeds of Crime Money Laundering and Terrorist Financing Act (PCMLTFA), keeping abreast of regulatory changes and impacts to the Bank’s first line operations
                                                      -

                                                      ​#LI-JS3

                                                      -
                                                      -

                                                      -

                                                      Canada COVID-19 Vaccination Requirement

                                                      -

                                                      Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                      +

                                                      Functional Competencies

                                                      -

                                                      Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                      -

                                                      We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                      +
                                                        +
                                                      • Demonstrates strong strategic thinking, planning and execution ability
                                                      • +
                                                      • Proven creative, self-starter, results-oriented, and highly motivated individual with good analytical skills in order to apply this knowledge to improve existing solutions and assist in the development of AML/ATF strategies
                                                      • +
                                                      • Knowledge of trends and best practices in respect of internal controls, in relation to regulatory reporting to FINTRAC
                                                      • +
                                                      • Excellent oral, written and presentation communication skills
                                                      • +

                                                      -

                                                      Accessibility

                                                      +


                                                      Education / Experience

                                                      -

                                                      As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                      -

                                                      We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                      +
                                                        +
                                                      • A recognized under-graduate degree in a business or technical discipline
                                                      • +
                                                      • 2+ years of experience as a Business Systems Analyst in an agile or lean environment
                                                      • +
                                                      • Project Management certification is an asset
                                                      • +
                                                      • ACAMS certification an asset
                                                      • +
                                                      +


                                                      -

                                                      Protect yourself from fraudulent job postings click here to know more.

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      -

                                                      More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                      -
                                                      ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Sr-Applied-Research-Scientist--Natural-Language-Processing_JREQ144843?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-03-17T13:36:02.504Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/114794889-sr-applied-research-scientist-natural-language-processing-at-thomson-reuters,,expired,2022-03-14T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, -246fc054-48e9-4173-abae-5f69875c22f6,112056154,Scotiabank,VELOCITY - Innovation Engineer - Summer 2022,on_site,Canada : Ontario : Toronto,2022-03-04T05:06:18.963Z,"

                                                      -

                                                      -

                                                      -

                                                      -

                                                      Requisition ID: 144165

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      -

                                                      Velocity - Innovation Engineer - Summer 2022

                                                      -

                                                      -

                                                      WORK TERM: 4 Months - Summer 2022 (May-August)

                                                      +

                                                      Apply now »

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Business-Analyst%2C-QA-Regulatory-Reporting%2C-AML-Risk-ON-M5C2W1/548303517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:48:23.833Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/69027487-business-analyst-qa-regulatory-reporting-aml-risk-at-scotiabank,,expired,2021-06-22T02:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a67d47e5-0678-48a9-acf5-7efee6f34aac,69027488,Scotiabank,"Analyst, Client Insights and Analytics (Contract)",on_site,"Toronto, ON, Canada",2021-06-22T02:49:04.996Z,"

                                                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                      -

                                                      -

                                                      What Can I Expect from the Velocity Program?

                                                      -

                                                      This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                                      -

                                                      -

                                                      You Will…

                                                      -
                                                      • Work with Digital Currencies and Blockchain technologies
                                                      • Investigate problem spaces and ideate on new and innovative solutions
                                                      • Work closely with a team of designers, researchers and developers to ideate and rapidly build prototype proof of concepts (PoCs) and refactor PoCs for production
                                                      • Investigate new and emerging technologies (Big Data, Machine Learning, etc.)
                                                      • Utilize Agile processes to validate and iterate on PoCs to build the right thing the right way
                                                      • Present prototypes and ideas to all levels of stakeholders
                                                      • +

                                                        Analyst, Client Insights and Analytics, Global Banking and Markets

                                                        +

                                                        12 month contract position

                                                        Why work for Scotiabank?

                                                        +


                                                        Scotiabank is among the largest banks in the world and the most international bank in Canada. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. Together with our Digital Factories around the world, we are dedicated to helping our 25 million customers become better-off.

                                                        +

                                                        +

                                                        This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank!


                                                        Global Banking and Markets

                                                        Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                        +


                                                        Position:

                                                        As the Analyst, you will contribute to the overall success of the Client Insights & Analytics group within Global Banking & Markets globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                        +

                                                        The Client Insights & Analytics team exists to support data driven decision making within the Global Banking and Markets division.

                                                        +

                                                        The mandate of the team is to:

                                                        +
                                                          +
                                                        • Increase Scotiabank’s relevance with corporate and institutional clients
                                                        • +
                                                        • Develop client strategies with the business lines and drive its execution through data analytics
                                                        • +
                                                        • Support the monitoring of financial performance against plans, initiatives and objectives
                                                        • +
                                                        • Leverage internal and external client data to facilitate opportunity identification
                                                        • +
                                                        • Define and deliver CRM software enhancements that drive business value
                                                        • +
                                                        • Liaise with technology to enhance data quality and integrity
                                                        -

                                                        -

                                                        You Are...

                                                        -

                                                        You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                        -

                                                        Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                                        -

                                                        -

                                                        You have Work Experience in any of the Following...

                                                        -
                                                        • Blockchain / Distributed Ledger Technologies (Corda, Hyperledger, Ethereum, Bitcoin)
                                                        • Backend Web Services (Node.js, Java, Python)
                                                        • Modern Front End Frameworks (React, Angular)
                                                        • Project documentation and presentations for stakeholders
                                                        • +


                                                          As part of the Global Banking & Markets Client Insights and Analytics team, you will learn the foundations of client analytics though hands on data collection and analysis. You will analyze business processes, liaise with various groups within GBM, and develop insightful and sustainable Business Intelligence reporting to meet business needs.

                                                          This role is perfect for you if you are a technical individual who likes to work with data, are highly self-motivated, and thrive in a dynamic, challenging and fast-paced environment.

                                                          This position will offer you an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, investment banking, corporate banking analytics space.
                                                          Accountabilities

                                                          +
                                                            +
                                                          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                          • +
                                                          • Define and maintain the data integrity and data architecture
                                                          • +
                                                          • Perform data analysis to identify data integrity issues/trends and report findings
                                                          • +
                                                          • Configure and execute data cleansing activities
                                                          • +
                                                          • Develop and implement data correction plans to address issues as they arise
                                                          • +
                                                          • Ensure that automated data imports/exports contain appropriate data and run in a timely manner
                                                          • +
                                                          • Consolidate information from a variety of internal and external sources to create value added client insights through business intelligence tools (ex. Tableau, PowerBI, and etc.)
                                                          • +
                                                          • Develop insightful and sustainable Business Intelligence reporting, and responsible for data quality
                                                          • +
                                                          • Advise the business by identifying client opportunities as related to revenue, segmentation and rankings
                                                          • +
                                                          • Daily maintenance and monitoring of online BI reporting status and key client MIS data for GBM
                                                          • +
                                                          • Oversee and review the process and look for improvement
                                                          • +
                                                          • Support ad hoc analysis requests as required
                                                          • +
                                                          • Investigate discrepancies, reconcile source data, and manage analytic reports to ensure reasonability
                                                          • +
                                                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                          • +
                                                          • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                          • +
                                                          • Champions a high-performance environment and contributes to an inclusive work environment.
                                                          -

                                                          -

                                                          -

                                                          How to apply?

                                                          -

                                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                                          -

                                                          -

                                                          1) Complete your PLUM Profile here

                                                          -

                                                          2) Take a screenshot of your completed PLUM profile.

                                                          -

                                                          3) Complete a very short one-way video interview by clicking here

                                                          -

                                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                                          -

                                                          -

                                                          -

                                                          We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                          -

                                                          -

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Innovation-Engineer-Summer-2022-ON/557106117/,feed-importer@jobboard.io,,,,2022-03-17T21:15:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/112056154-velocity-innovation-engineer-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Innovation-Engineer-Summer-2022-ON/557106117/,expired,2022-03-04T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -f4317b37-46ba-4fc1-9406-ce80ae6ae8ef,110806942,BMO Financial Group,"Senior Data Analyst, Robotics, Reporting and Automation Solutions",on_site,"Toronto, ON, Canada",2022-02-25T19:03:23.649Z,"

                                                      Address:

                                                      +

                                                      Requirements

                                                      +
                                                        +
                                                      • Undergraduate degree in finance/economics/math/computer science.
                                                      • +
                                                      • 2+ years of experience in client analytics, data analytics, business analysis, financial reporting or a similar role
                                                      • +
                                                      • Minimum 2 years of experience in data analysis/data management preferably with a CRM system
                                                      • +
                                                      • Good understanding of information processing as it relates the business
                                                      • +
                                                      • Excellent knowledge of IT/data best practices and database concepts
                                                      • +
                                                      • Strong Excel/VBA skills
                                                      • +
                                                      • Strong understanding of 3rd party data (such as Bloomberg, Capital IQ) and API integration
                                                      • +
                                                      • Experience with Tableau or Power BI reporting, Salesforce, Python are preferred
                                                      • +
                                                      • Strong experience with process implementation and improvement
                                                      • +
                                                      • Detail-oriented and customer-focused
                                                      • +
                                                      • Knowledge of data reconciliation, management, aggregation and analysis techniques
                                                      • +
                                                      • Ability to be a self-starter who excels working independently with minimal supervision
                                                      • +
                                                      • Good understanding of statistical theory and applications
                                                      • +
                                                      • Understanding of financial measures of risk/return; knowledge of bank credit analysis process is a plus
                                                      • +
                                                      • Strong judgment skills in order to make recommendations, establish priorities and provide leadership
                                                      • +
                                                      +

                                                      +

                                                      Location(s): Canada : Ontario : Toronto

                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                      ",,https://jobs.scotiabank.com/job/Toronto-Analyst%2C-Client-Insights-and-Analytics-%28Contract%29-ON-M5H1H1/548309517/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2021-07-22T02:49:06.534Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/69027488-analyst-client-insights-and-analytics-contract-at-scotiabank,,expired,2021-06-22T02:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c3c3f2b9-e575-4468-9327-b27c59bf3c9f,69027679,TD Bank Group,WEALTH PRODUCT INSIGHTS & ANALYTICS INTERN/CO-OP,on_site,"Toronto, ON, Canada",2021-06-22T02:50:19.137Z,"

                                                      Company Overview

                                                      +

                                                      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                      +

                                                      TD’s Colleague Promise: A better you. A better us.

                                                      +

                                                      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                      +

                                                      Department Overview

                                                      +

                                                      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                      +

                                                      TD’s Colleague Promise: A better you. A better us.
                                                      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                      +

                                                      Department Overview
                                                      Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.
                                                      Our Momentum Program, is offered with select Co-Op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                      +
                                                        +
                                                      • Leadership Talks with key Leaders from across the organization,
                                                      • +
                                                      • Lunch and Learns on topics such as Innovation,
                                                      • +
                                                      • Diversity and Inclusion and Personal Branding and so much more
                                                      • +
                                                      +

                                                      Job Description

                                                      +
                                                        +
                                                      • +Investment and Product Analysis:
                                                          +
                                                        • Develop investment analysis and insights to support product due diligence and investment risk management efforts around the Alternative Investment product shelf
                                                        • +
                                                        • Provide subject matter expertise to develop strategic topic-based deep dives on select product issues, with an emphasis on competitive intelligence and inorganic opportunity scanning
                                                        • +
                                                        • Develop automated reporting on current and forecast product issues at the firm, advisor and client level to highlight securities contributing to risk concentrations, particularly as it relates to Alternative Investments
                                                        • +
                                                        • Proactively research market, industry and investment trends, and regulatory changes to support various product management initiatives and identify sources of potential investment risk
                                                        • +
                                                        • Actively participate in various workstreams with internal partners to understand business objectives, required KPIs and translate them into data collection and data analysis strategies
                                                        • +
                                                        +
                                                      • +
                                                      • +Data Science/ Advanced Analytics:
                                                          +
                                                        • Provide subject matter expertise and create data driven solutions by applying a variety of analytic techniques to build out complex models
                                                        • +
                                                        • Develop a thorough understanding of the databases and systems landscape at TD wealth and support the optimization of data extraction/validation processes
                                                        • +
                                                        • Use advanced analytic tools to develop repeatable and reliable workflows for extracting, compiling and summarizing wealth product/investment data to drive operational efficiency and increase productivity
                                                        • +
                                                        • Participate in projects by analyzing approaches, processes and tools to support the Wealth Product & Strategy Teams’ data requirements
                                                        • +
                                                        +
                                                      • +
                                                      • +Visualization:
                                                          +
                                                        • Provide data visualization support by employing various techniques to support the business in interpreting data and communicating implications and /or recommendations to the business
                                                        • +
                                                        • Provide data visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations
                                                        • +
                                                        • Support the production and enhancement of dashboards, regular and ad-hoc reports, analysis, and insights to drive data-driven decision making
                                                        • +
                                                        +
                                                      • +
                                                      • +Other:
                                                          +
                                                        • Demonstrate strong initiative, and use strong communication, analytical and problem-solving skills to add value to each initiative, project, or team you are assigned to.
                                                        • +
                                                        • Participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes and applications which support our key businesses.
                                                        • +
                                                        +
                                                      • +
                                                      +

                                                      Requirements

                                                      +
                                                        +
                                                      • Majoring in Finance, Economics, Computer Science, Mathematics, Engineering, Quantitative Analysis, Statistics, Data Analytics or a related field.
                                                      • +
                                                      • Experience with Alteryx and SQL programming
                                                      • +
                                                      • Strong statistical/analytics skills & interest/knowledge of investment management
                                                      • +
                                                      • Excellent verbal & written communication, with ability to work collaboratively and effectively in a team environment.
                                                      • +
                                                      • Enrolment in the CFA program is a plus
                                                      • +
                                                      • Experience with VBA, R, Python, Spark, Scala, or other programming languages is a plus
                                                      • +
                                                      +

                                                      Additional Information

                                                      +

                                                      Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                      +
                                                        +
                                                      • This position is a 4-month work term and will commence Sept 7 – Dec 23, 2021.
                                                      • +
                                                      • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                      • +
                                                      • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                      • +
                                                      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                      • +
                                                      • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change
                                                      • +
                                                      +

                                                      Hours

                                                      +

                                                      37.5

                                                      +

                                                      Start Date

                                                      +

                                                      – Fall

                                                      +

                                                      Inclusiveness

                                                      +

                                                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                      ",,https://jobs.td.com/en-CA/jobs/13123009/wealth-product-insights-analytics-intern-co-op-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-07-22T02:50:21.162Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/69027679-wealth-product-insights-analytics-intern-co-op-at-td-bank-group,,expired,2021-06-22T02:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +6e9756c5-576f-44e5-b1fd-88aaf3e12ff6,69027682,BMO Financial Group,"Software Developer, Fall 2021 (Co-op/Internship) - 8 Months",on_site,"Toronto, ON, Canada",2021-06-22T02:59:00.966Z,"

                                                      Address:

                                                      100 King Street West

                                                      Job Family Group:

                                                      -

                                                      Data Analytics & Reporting

                                                      +

                                                      Technology

                                                      -

                                                      Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                      +

                                                      As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                      +

                                                      +

                                                      Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                      +

                                                      +

                                                      Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @bmooncampus & Instagram @bmo_on_campus.

                                                      +

                                                      +

                                                      Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                      +

                                                      +

                                                      To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                      +

                                                      +

                                                      +

                                                      Understands that the success of a developer is to understand the core business processes of the business unit and business requirements as well as the architecture patterns and technology strategy (e.g., Transformation, SmartCore, DevOps). Conceive and write detailed software implementations/code while ensuring that their code/configurations adhere to the security, logging, error handling, and performance standards and non-functional requirements. Writes, configures, and integrates code to create the software that aligns with architecture patterns and technology strategy. Understands the implications of various components (including technology strategy & architecture) to the overall design of a program, system, or eco-system. Evaluates new technologies for fit with the program/system/eco-system and the associated upstream and downstream impacts on process, data, risk (e.g., security). Works toward the objective of defect free software. Ensures that systems functionally meet requirements, align with architecture and promote the development of common assets. Supports the resolution of production issues and problems. Makes recommendations to improve BMO processes & systems.

                                                        -
                                                      • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                      • -
                                                      • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                      • -
                                                      • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                      • -
                                                      • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                      • -
                                                      • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                      • -
                                                      • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                      • -
                                                      • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                      • -
                                                      • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                      • -
                                                      • Performs experimental design approaches to validate finding or test hypotheses.
                                                      • -
                                                      • Uses the appropriate algorithms to discover patterns.
                                                      • +
                                                      • Supports research and development of development frameworks, and definition of standards.
                                                      • +
                                                      • Leads and implements initiatives as required to deliver business objectives.
                                                      • +
                                                      • Conducts independent analysis and assessment to resolve strategic issues.
                                                      • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                      • -
                                                      • Supports development of tools and delivers training for data analytics and AI.
                                                      • -
                                                      • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                      • -
                                                      • Leads/participates in the design, implementation and management of core business/group processes.
                                                      • +
                                                      • Monitors and tracks performance, and addresses any issues.
                                                      • +
                                                      • Reviews the work of other team members as required.
                                                      • +
                                                      • Provides input into the planning and implementation of operational programs.
                                                      • +
                                                      • Decomposes business requirements and translates them into detailed design specifications and code.
                                                      • +
                                                      • Interacts with key business & technology stakeholders to define, analyze, and deliver requirements that reflect the needs of both the business and end-customers.
                                                      • +
                                                      • Assesses the costs and benefits for different solutions and recommend/decide on appropriate designs.
                                                      • +
                                                      • Designs solutions, writes code, performs unit testing, develops appropriate artefacts / documentation, and facilitates final delivery.
                                                      • +
                                                      • Supports production issues, includes independently completing root-cause analysis and diagnosis.
                                                      • +
                                                      • Devises new algorithms and data structures for target environment and platform attributes in alignment with architectural patterns.
                                                      • +
                                                      • Builds solutions that are supportable, scalable and achieve our aspiration of common assets.
                                                      • +
                                                      • Recommends or automates approaches to streamline and integrate technological processes and/or systems to improve operational efficiency and effectiveness.
                                                      • +
                                                      • Supports the management of specific project deliverables & outcomes.
                                                      • +
                                                      • Identifies opportunities to strengthen the development capability, such as: sharing expertise to promote technical development, mentoring employees, building communities of practice and networks.
                                                      • +
                                                      • Stays abreast of industry technical and business trends through participation in professional associations, practice communities & individual learning.
                                                      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                      • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                      • Works independently on a range of complex tasks, which may include unique situations.
                                                      • -
                                                      • Broader work or accountabilities may be assigned as needed.

                                                        -

                                                        Qualifications:

                                                        +
                                                      • Broader work or accountabilities may be assigned as needed.



                                                        Qualifications:

                                                      • -
                                                      • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                      • -
                                                      • Knowledge of visualization techniques and concepts.
                                                      • -
                                                      • Knowledge of distributed computing and/or distributed databases.
                                                      • -
                                                      • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                      • -
                                                      • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl)
                                                      • -
                                                      • Experience in automation/roboti technologies (WorkFusion, UiPath).
                                                      • +
                                                      • As a full-time employee, we would require 2-4 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn. Proficient level of knowledge in domain.
                                                      • +
                                                      • Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience.
                                                      • +
                                                      • Knowledge of required programming languages and can code with little oversight.
                                                      • +
                                                      • Knowledge of technical/business environment and processes.
                                                      • +
                                                      • Understand functional aspects and technical behavior of the underlying operating system, development environment, and deployment practices.
                                                      • +
                                                      • Have facility with and understanding of the ecosystem that code operates in.
                                                      • Technical proficiency gained through education and/or business experience.
                                                      • Verbal & written communication skills - In-depth.
                                                      • Collaboration & team skills - In-depth.
                                                      • @@ -29418,206 +27137,334 @@ f4317b37-46ba-4fc1-9406-ce80ae6ae8ef,110806942,BMO Financial Group,"Senior Data

                                                        To find out more visit us at https://jobs.bmo.com/ca/en.

                                                        -

                                                        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                        ",,https://jobs.bmo.com/ca/en/job/R210026425/Senior-Data-Analyst-Robotics-Reporting-and-Automation-Solutions,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2022-03-17T21:15:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/110806942-senior-data-analyst-robotics-reporting-and-automation-solutions-at-bmo-financial-group,,expired,2022-02-25T19:03:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -9f439676-cfbb-4508-83f2-460c027fbe19,109056727,Vector Institute (Internal Opportunities Only),Instructor - Bias in AI - Small and Medium-Sized Enterprises (SME) Workshop Series ,full,Anywhere,2022-02-15T21:42:52.861Z,"

                                                        Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 21, 2022. The course will run dependent on the number of participant registrations.

                                                        -

                                                        We are advertising for this role in advance of February 21, 2022 so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                        -

                                                        This posting is to recruit one (1) Instructor candidate.

                                                        -


                                                        -

                                                        STATEMENT OF WORK: Small and Medium-Sized Enterprises (SME) Workshop Series - Instructor

                                                        -

                                                        SME Workshop Series Dates: February 28, 2022 - March 31, 2022 + capstone - Tuesday, March 12, 2022

                                                        -

                                                        Location: This course will be delivered online via D2L Brightspace

                                                        -

                                                        Classes and Tutorials: Deliver four 2h Lectures developed in collaboration with TAs

                                                        -

                                                        TAs: TBD

                                                        -

                                                        Overview

                                                        -

                                                        Bias in AI: ‘Practical examples in NLP & Computer Vision’ is an online program. This immersive and interactive program is designed to build AI capacity among SMEs both in technical skills and in responsible applications of AI. Bias in AI may exclude or disadvantage sections of the Canadian population, an unacceptable outcome in a country as diverse as Canada. Providing education on how bias in AI can be identified and potentially reduced will empower practitioners in participating SMEs and strengthen their leadership in responsible AI within the AI ecosystem and beyond. During this course, SMEs will apply the program learnings to their organizations and present these to instructors and stakeholders from Vector Institute and SME Workshop Series representatives in the final week. For this presentation, SMEs will work on a capstone project of their choosing based on their own business context to maximize value.

                                                        -

                                                        The target audience is SMEs that are looking to or have adopted AI technologies and have employees with experience building and managing AI models. The program will have between 20 – 30 participants from different SMEs and will cover bias in Natural Language Processing and Computer Vision. Participants are expected to have some experience building neural network models.

                                                        -

                                                        Tasks and Responsibilities

                                                        -
                                                          -
                                                        • Prepare and deliver lectures according to the course schedule below
                                                        • -
                                                        • Drive course development meetings and engage with course development discussions on Slack
                                                        • -
                                                        • Curate recommended readings or supplementary materials to support the assignment
                                                        • -
                                                        • Provide assistant to course participants throughout the course
                                                        • -
                                                        -

                                                        Fees:

                                                        +

                                                        BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                        ",,https://jobs.bmo.com/ca/en/job/R210011366/Software-Developer-Fall-2021-Co-op-Internship-8-Months,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-07-22T02:59:02.629Z,False,0,13,34,https://talenthub.vectorinstitute.ai/jobs/69027682-software-developer-fall-2021-co-op-internship-8-months-at-bmo-financial-group,,expired,2021-06-22T02:59:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +b3579eea-34c7-47dc-87dd-a17bd580d0fe,69030210,Vector Institute,Senior AI Software Developer,temporary,"Toronto, ON, Canada",2021-06-22T05:20:43.202Z,"

                                                        POSITION SUMMARY

                                                        +

                                                        +

                                                        As a Vector Senior AI Software Developer, you will provide technical leadership and contribute to developing and integrating reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest machine learning and AI researchers and provide guidance to AI Software Developers and data scientists and researchers at industry sponsors and healthcare institutions to apply AI.

                                                        +

                                                        +

                                                        KEY RESPONSIBILITIES

                                                        +

                                                        +
                                                        • Provide technical leadership for applied research projects and AI/ML software development and integration projects following an agile methodology with teams that can include Vector AI developers, professional staff, researchers, industry sponsors and healthcare partners;
                                                          -
                                                        • $5,000
                                                        • -
                                                        • Instructor must submit invoice at the end of the course. All fees are payable at the end of the course ~12 March 2022, upon completion of all contractual responsibilities.
                                                        • +
                                                        • Design and lead development of reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                        • +
                                                        • Design and lead development of open source software for applying AI research techniques to common problems;
                                                        • +
                                                        • Mentor industry sponsors and healthcare partners on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
                                                        • +
                                                        • Mentor researchers and AI software developers on software engineering and data science best practices;
                                                        • +
                                                        • Lead the development of prototypes and proofs of concept;
                                                        • +
                                                        • Report and present on software development including status and results; and,
                                                        +
                                                        • Other related duties as assigned.
                                                        +

                                                        +

                                                        PROFILE OF THE IDEAL CANDIDATE

                                                        -

                                                        Course Schedule

                                                        -

                                                        Prior to course commencement, typical touchpoints are:

                                                          -
                                                        • Team kick-off/ curriculum development meeting
                                                        • -
                                                        • Team progress meeting
                                                        • -
                                                        • Team LMS upload and testing meeting
                                                        • -
                                                        • Course launch meeting
                                                        • +
                                                        • Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline; MSc/MEng preferred.
                                                        • +
                                                        • Minimum of four years of experience in industry applying machine learning for data science or technology product development or equivalent; experience across industries considered an asset.
                                                        • +
                                                        • Demonstrated experience as a technical lead for teams applying machine learning.
                                                        • +
                                                        • Demonstrated experience in applying machine learning to problems deployed in production.
                                                        • +
                                                        • Demonstrated experience in working closely with software engineers, data scientists and operations staff.
                                                        -

                                                        These meetings allow for the smooth running of a program and will accommodate schedules as much as possible.

                                                        -

                                                        Week 1: Monday February 28, 2022 3pm-5pm ET

                                                        -
                                                        • Tutorial (i): Admin & Registration Set-up, D2L Orientation
                                                        -

                                                        Workshop 1: Tuesday March 1, 2022 3pm-5pm ET

                                                        -

                                                        Topic: AI Overview, Tools & Best Practices

                                                        +
                                                        • Demonstrated experience developing software that is deployed in production.
                                                          -
                                                        • Mathematical Foundations
                                                        • -
                                                        • Python Hygiene - packages, troubleshooting, and running efficient models
                                                        • -
                                                        • NLP Fundamentals
                                                        • +
                                                        • Demonstrated experience in data engineering working with messy real-world data.
                                                        • +
                                                        • Demonstrated experience in operational considerations for deployment of deep learning.
                                                        • +
                                                        • Demonstrated analytical skills to identify signal in data and feasibility of prediction.
                                                        • +
                                                        • Strong knowledge and experience with Python.
                                                        • +
                                                        • Experience in popular open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
                                                        • +
                                                        • Experience with parameter and architecture tuning of deep learning algorithms.
                                                        • +
                                                        • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset.
                                                        -

                                                        Assignment (1): Develop classic GPT2/Bert model - text generation/ prediction

                                                        -

                                                        Week 2: Monday, March 7, 2022 3pm-5pm ET

                                                        -
                                                        • Tutorial (ii): Go over Assignment (1) & Week 1 materials
                                                        -

                                                        Workshop 2: Tuesday March 8, 2022 3pm-5pm ET

                                                        -

                                                        Topic: Computer Vision Models

                                                        -
                                                        • Computer Vision Fundamentals
                                                        -

                                                        Assignment (2): Develop a classic Computer Vision classification model

                                                        -

                                                        Week 3: Monday, March 14, 2022 3pm-5pm ET

                                                        -
                                                        • Tutorial (iii): Go over Assignment (2) & Week 2 materials
                                                        -

                                                        *Workshop 3: Wednesday, March 15, 2022 3pm-5pm ET

                                                        -

                                                        Topic: Reducing bias in NLP & Computer Vision models

                                                        +

                                                        +

                                                        Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. The deadline for submission is January 10, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                        +

                                                        +

                                                        Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                        +

                                                        +

                                                        The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                        +

                                                        +

                                                        Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                        ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=115&source=google&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2021-07-22T05:20:45.080Z,False,0,2,43,https://talenthub.vectorinstitute.ai/jobs/69030210-senior-ai-software-developer-at-vector-institute,,expired,2021-06-22T05:20:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +a005ec36-2faf-427d-8d05-489326c5fce6,69030751,CIBC,"Senior Manager, Data & Analytics",on_site,"Toronto, ON, Canada",2021-06-22T05:25:22.138Z,"

                                                        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                        +

                                                        +

                                                        At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                        +

                                                        +

                                                        To learn more about CIBC, please visit CIBC.com

                                                        +

                                                        +

                                                        Job Description

                                                        +

                                                        +

                                                        What You’ll Be Doing

                                                        +

                                                        +

                                                        You'll join our Frontline & Distribution Analytics team reporting to the Director, Analytics. As a Senior Manager, you'll work as a technical developer who is excited about providing end-to-end data analytic solutions for our product origination and fulfillment platform. These solutions will range from designing a comprehensive data model to providing an insightful production dashboards to drive evidence-based decision making at all levels for the Personal and Business Banking (PBB) lines of business. You will be exploring large datasets with limited metadata, and are expected to operate independently in forming and creating a comprehensive data/table structures that will be the backbone of all regular/adhoc analysis and reporting for the team.

                                                        +

                                                        You will also support the execution of the strategic data roadmap for the team and provide the capability to create quantifiable value by the use of data, analytics and insights. This includes developing data and workflows through efficient/automated ETL processes, and act as a key enabler to the rest of the team . You will have technical responsibility for understanding and managing the usage of key data sources as well as the development and maintenance of sales force, client and product profiles designed to facilitate ongoing and ad-hoc work.

                                                        +

                                                        +

                                                        How You’ll Succeed

                                                          -
                                                        • Bias in AI (Introduction)
                                                        • -
                                                        • Governance, Privacy & Ethics
                                                        • +
                                                        • +Business Performance, Client and Product Profile Development - Develop and maintain streamlined ETL process for sales force, client and product data that can be used to facilitate both ongoing dashboard reporting and ad hoc analyses
                                                        • +
                                                        • +Dashboard Design and Development – Lead the development of our production dashboard related to key sales interactions, client experiences, product origination and channel trends for multi-level users throughout the organization.
                                                        • +
                                                        • +Data Exploration - Explore the data with the limited information, and develop a strategic data integration plan that will connect bank’s client journey from start to finish.
                                                        • +
                                                        • +Strong Partner – You will develop change management strategies and maintain open, collaborative lines of communication to ensure awareness of requirements and impacts. You will gather critical information on the various management techniques/client issues/concerns, strategic priorities, business challenges and specific project requirements to support the development of a winning value proposition
                                                        • +
                                                        • +Ad Hoc Analyses – Develop ad hoc analyses to address key business issues as they arise. Complete complex client and product analyses utilizing a variety of structured and unstructured data sources. Develop and share insights based this analysis with a wide variety of audience
                                                        -

                                                        Assignment (3): Reducing bias in NLP & Computer Vision models (report)

                                                        -

                                                        Week 4: Monday, March 21, 2022 3pm-5pm ET

                                                        -
                                                        • Tutorial (iv): Go over Assignment (3) & Week 3 materials
                                                        -

                                                        Workshop 4: Tuesday, March 22, 2022 3pm-5pm ET

                                                        -

                                                        Topic: Reducing bias in NLP & Computer Vision models

                                                        -
                                                        • Methods for identifying and reducing bias
                                                        -

                                                        Assignment (4): Reducing bias in NLP & Computer Vision models (applied)

                                                        -

                                                        Week 5: Monday, March 28, 2022 3pm-5pm ET

                                                        -
                                                        • Tutorial (v): Go over Assignment (4) & Week 4 materials
                                                        -

                                                        *Workshop 5: Thursday, March 31, 2022 3pm-5pm ET *note change in day

                                                        -

                                                        Topic: Capstone Preparation

                                                        +

                                                        +

                                                        Who You Are

                                                          -
                                                        • Introduction to Capstone Project
                                                        • -
                                                        • Scientific writing & presentations
                                                        • +
                                                        • +Database Design and ETL - You demonstrate strong understanding on the data warehouse design with experience in managing and creating database model and ETL processes that supports and accelerate analytic end user. You must have advanced proficiency in various RDBMS, SAS, and ETL managements. You have the ability to perform complex data integration and transformation with large datasets including both structured and unstructured data
                                                        • +
                                                        • +Dashboard Development - You possess superior Tableau skills for the data visualization with proven records in designing, developing and maintaining enterprise level dashboards using Tableau. You can overcome the technical limitations of the tools with various techniques and creative work around solutions.
                                                        • +
                                                        • +You are a problem solver - You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business and technical problems and recommend solutions
                                                        • +
                                                        • +Analytical - You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Your critical thinking skills help to inform your decision making
                                                        • +
                                                        • +Detail Oriented - You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making
                                                        • +
                                                        • +Goal Oriented - You are driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact
                                                        • +
                                                        • +Client-Focused - You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do
                                                        • +
                                                        • +Values matter to you -You bring your real self to work and you live our values – trust, teamwork and accountability
                                                        -

                                                        Assignment (5): Capstone Project - identify and reduce bias in your AI models

                                                        +

                                                        +

                                                        What CIBC Offers

                                                        +

                                                        +

                                                        At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                          -
                                                        • Presentation reviewed by a panel including IRAP staff
                                                        • -
                                                        • Capstone review and feedback
                                                        • +
                                                        • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                        • +
                                                        • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                        • +
                                                        • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                        • +
                                                        • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                        -

                                                        CAPSTONE PROJECT FINAL: Tuesday, April 12, 2021

                                                        -

                                                        Capstone Presentations: “Identify and reduce bias in your AI models”

                                                        -

                                                        Capstone Panel: Vector Institute & IRAP Stakeholders

                                                        -

                                                        Marks submitted & data captured - end of course.

                                                        -

                                                        To apply, please submit your CV and a statement outlining your motivation and objectives to: learn@vectorinstitute.ai

                                                        -

                                                        ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-03-17T22:25:00.000Z,False,0,0,37,https://talenthub.vectorinstitute.ai/jobs/109056727-instructor-bias-in-ai-small-and-medium-sized-enterprises-sme-workshop-series-at-vector-institute-internal-opportunities-only,,expired,2022-02-15T21:42:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, -84dbbbe4-3801-4189-ae3f-6ffde362917f,111996673,Loblaw Companies Ltd.,"Senior Analyst, Data Quality, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-03T18:00:11.211Z,"
                                                        -
                                                        -
                                                        -

                                                        Referred applicants should not apply directly to this role.

                                                        -

                                                        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                        -

                                                        -

                                                        -

                                                        Location:

                                                        1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                        -

                                                        -

                                                        Inspired by food? Committed to excellent service? So are we.
                                                        At Loblaw, we are Food Lovers!
                                                        We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                        We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                        Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                        -

                                                        -

                                                        Why is this role important?

                                                        -

                                                        What You'll Do:

                                                        -
                                                          -
                                                        • Design and develop appropriate data quality solutions such as; data profiling discovery, data rules development, root cause analysis, proactive measures within a cloud or on-prem environment using world-class tools and technology
                                                        • -
                                                        • Drive Data Quality adoption & maturity through DQ capability improvements and change management activities
                                                        • -
                                                        • Elicit & translate business friendly rules to develop technical code within a data quality tool
                                                        • -
                                                        • Produce insights on current state data health to recommend data standards and rules required to monitor critical data
                                                        • -
                                                        • Provide proactive data quality recommendations to prevent issues from occurring
                                                        • -
                                                        • Collaborate with Data Stewards and Business & Technical stakeholders to assess, root cause and drive resolution of critical data quality issues as needed
                                                        • -
                                                        • Participate in auditing activities to provide root cause analysis and data issue remediation support as required
                                                        • -
                                                        • Consult with internal and external stakeholders to uphold data quality and data management best practices. Provide advisory and education to stakeholders as needed
                                                        • -
                                                        • Demonstrate CORE (Care, Ownership, Respect, Excellence) values
                                                        • -
                                                        • Other duties as required
                                                        • -
                                                        -

                                                        -

                                                        What You'll Bring:

                                                        -
                                                          -
                                                        • 4-6 years of data quality work experience required
                                                        • -
                                                        • Post-secondary education in Statistics, Engineering, Business, Computer Science or related field of study degree preferred
                                                        • -
                                                        • Experience with data quality tools (Informatica Data Quality) and visualization tools (PowerBI) required
                                                        • -
                                                        • Proficient at writing complex queries and validating results using SQL and Python
                                                        • -
                                                        • Experience in cloud-based platform such as Google Cloud, Azure, Amazon Web Services required
                                                        • -
                                                        • Experience with using natural language processing and anomaly detection techniques for data quality activities an asset
                                                        • -
                                                        • Experience assessing data quality within noSQL database structures such as mongoDB and neo4j an asset
                                                        • -
                                                        • Strong prioritization and organizational skills required
                                                        • -
                                                        • Tenacious approach to effectively drive discussions and influence successful outcomes with stakeholders required
                                                        • -
                                                        • Ability to multi-task with strong attention to detail and analytical skills required
                                                        • -
                                                        • Advanced Productivity Tool skills (Excel, Word, PowerPoint, Confluence, Jira, Slack, SharePoint) required
                                                        • +

                                                          Please apply by: end of day on May 6, 2021

                                                          +

                                                          +

                                                          What You Need to Know

                                                          +
                                                            +
                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                          • +
                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                          • +
                                                          +

                                                          +

                                                          +

                                                          Job Location

                                                          +

                                                          Toronto-CC East 5th Floor

                                                          +

                                                          Employment Type

                                                          +

                                                          Regular

                                                          +

                                                          +

                                                          Weekly Hours

                                                          +

                                                          37.5

                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Data---Analytics_2109683-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-07-22T05:25:39.770Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/69030751-senior-manager-data-analytics-at-cibc,,expired,2021-06-22T05:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +735bbd75-7006-439a-868f-236df90b7dea,69030753,CIBC,"Sr. Consultant, Risk Analytics",on_site,"Toronto, ON, Canada",2021-06-22T05:26:17.732Z,"
                                                          • We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            +

                                                            +

                                                            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

                                                            +

                                                            +

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            +

                                                            What You’ll Be Doing

                                                            +

                                                            +

                                                            Reporting to the Director, Business Intelligence, the Senior Consultant, Risk Analytics, will contribute to the Risk Business Intelligence Office (RBIO) by applying their combined business and risk analytics focused background to help develop new initiatives and enhancements to the risk domain business intelligence. This will include solutioning business needs through leading edge BI and visualization techniques to accelerate information uptake and to maximize comprehension, supporting the BI developers with the business requirements and UAT process, undertaking central data warehouse expansion/maintenance initiative and collaborating with our technology partners.

                                                            +

                                                            +

                                                            How You’ll Succeed

                                                            +

                                                            +

                                                            The key accountabilities for this role are as follows:

                                                            +
                                                              +
                                                            • +Design/deliver insightful and actionable BI/Visualization solutions - Analyze, design and support development of risk reports and visualization for various internal and external clients in line with stakeholder requirements. Ensure data reported is accurate, timely and presented in a visually appropriate means to facilitate audience comprehension.
                                                            • +
                                                            • +Lead BI Development process - You will lead BI developers through the development process by providing accurate and clear business requirements, use cases, test cases and undertaking comprehensive UAT process.
                                                            • +
                                                            • +Project planning and execution As part of your business intelligence and data management responsibilities, you will be accountable for managing and tracking various commitments to our clients and ensuring that the critical deadlines are closely monitored and not compromised.
                                                            • +
                                                            +

                                                            +

                                                            Who You Are

                                                            +
                                                              +
                                                            • +You are an expert in BI and Analytics solutioning: You have extensive experience in working with business clients to design BI and analytics solutions to their needs. You have thorough understanding of RDBMS, data warehouses and data querying tools (SQL). You can give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. Prior exposure to BI tools (Cognos, Tableau etc.) would be highly valued.
                                                            • +
                                                            • +You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.
                                                            • +
                                                            • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                            • +
                                                            • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                            • +
                                                            +

                                                            +

                                                            What CIBC Offers

                                                            +

                                                            +

                                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                            +
                                                              +
                                                            • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                            • +
                                                            • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                            • +
                                                            • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                            • +
                                                            • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                            • +
                                                            +

                                                            +

                                                            What You Need to Know

                                                            +
                                                              +
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
                                                            • +
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
                                                            • +
                                                            +

                                                            +

                                                            +

                                                            Job Location

                                                            Toronto-CC East 11th Floor

                                                            Employment Type

                                                            Regular

                                                            +

                                                            Weekly Hours

                                                            37.5
                                                          +

                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Risk-Analytics_2114320-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-07-22T05:26:19.169Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/69030753-sr-consultant-risk-analytics-at-cibc,,expired,2021-06-22T05:26:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +32f8701b-e452-44e1-831e-8140e7e53492,69030854,integrate.ai,Software Engineer (Platform),on_site,"Toronto, ON, Canada",2021-06-22T05:38:09.946Z,"

                                                          At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. We are looking for extraordinary people to help build our AI-powered platform which helps B2C enterprises become more customer-centric, identifying what customers value in businesses and applying AI to guide them to unique experiences. We care about privacy and ethics and are working to make Responsible AI a reality across consumer enterprise.

                                                          +

                                                          We are looking for an incredible Software Engineer (Platform) who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                          +

                                                          Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                          +

                                                          What you will be doing:

                                                          +
                                                            +
                                                          • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                          • +
                                                          • Building impactful services and features in a way that you can be proud of
                                                          • +
                                                          • Operating services at scale and with world class reliability
                                                          • +
                                                          • Extending and improving your services to drive better outcomes for people
                                                          • +
                                                          • Contributing to the growth and development of your colleagues and the company
                                                          • +
                                                          • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                          • +
                                                          • Building client facing and internal web applications
                                                          • +
                                                          • Working with Data Scientists to create robust machine learning applications
                                                          • +
                                                          • Be responsible for designing and implementing features for several large projects
                                                          • +
                                                          • Participating in infrastructure development and operations
                                                          • +
                                                          • Managing existing codebase and developing new products for customers
                                                          • +
                                                          • Implementing integration with existing customer systems and providing support and documentation
                                                          • +
                                                          • Participating in agile project planning and estimation
                                                          • +
                                                          • Providing on-demand developer support directly to clients and their partners
                                                          • +
                                                          +

                                                          We Value:

                                                          +
                                                            +
                                                          • Writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                          • +
                                                          • A degree in Computer Engineering, Computer Science or an equivalent degree or experience
                                                          • +
                                                          • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                          • +
                                                          • Experience shipping code to production
                                                          • +
                                                          • The ability to give constructive feedback on code reviews
                                                          • +
                                                          • Experience with relational databases and SQL
                                                          • +
                                                          • Superior understanding of computer science fundamentals
                                                          • +
                                                          • Understanding of value and operational cost of delivered solutions
                                                          • +
                                                          • Working in an agile environment
                                                          • +
                                                          • Experience with AWS/GCP infrastructure is a plus
                                                          • +
                                                          • Great desire and willingness to learn
                                                          • +
                                                          • Contributions to the growth and success of your teammates
                                                          • +
                                                          ",,https://boards.greenhouse.io/integrateai/jobs/4230507002,aimasters@vectorinstitute.ai,https://integrate.ai/careers,,,2021-07-22T05:38:11.222Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/69030854-software-engineer-platform-at-integrate-ai,,expired,2021-06-22T05:38:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,Re-Posting an Expired Job, +252266cb-a54c-422f-a780-9f883d9e35f7,69402745,Accenture,SAS Data Engineering Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2021-06-24T21:28:03.290Z,"

                                                          Job Description

                                                          Job Title: SAS Data Engineering Manager
                                                          Location: Toronto, Montreal, Ottawa

                                                          Job Description Overview

                                                          We Are:
                                                          Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

                                                          You Are:
                                                          As a SAS Engineer, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including designing and delivering performant Business Intelligence SAS applications to our clients by supporting our engagement teams in collaboration with the project manager. You are enthusiastic about all things data, statistics, data mining, customer intelligence and advanced analytics. If you have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development, then this role may be for you.
                                                          In this role, you will:
                                                          - Deliver proof on concepts using appropriate SAS technology
                                                          - Support analysis, design, development and testing phases
                                                          - Document business processes, business requirements and system requirements
                                                          - Provide specifications for ETL or any service oriented dataflow
                                                          - Support SAS cloud strategy
                                                          - Database design for the following solutions: Customer Intelligence, In-Memory Analytics, Customer Intelligence and Marketing Intelligence
                                                          - Support Integrated and UAT testing
                                                          - Performance tuning
                                                          - Support the project manager and the scrum master
                                                          - Define good development practices and methodology for the team
                                                          - Guide developers throughout the development phases
                                                          - Deploy solutions in regards to our client’s DevOps approach
                                                          - Participate in project proposals and RFI
                                                          - Participate in business development activities

                                                          +
                                                          Read more of the job description
                                                          +


                                                          +

                                                          Qualifications

                                                          Here’s What You Need:
                                                          - Bachelor's Degree in Computer Science
                                                          - Strong working experience in an environment with SAS, with 5+ years of experience delivering various projects involving SAS Cloud Analytics technologies
                                                          - Experience in Agile Methodology
                                                          - Proven design and development experience as a SAS Architect or a SAS manager in complex environments
                                                          - Experience in developing using version control tools
                                                          - Knowledge of MS Project, any Agile platforms and Visio
                                                          - Demonstrate experience in performing gap analysis and impact analysis
                                                          - Experience supporting business users working on projects or programs involving multiple highly inter-dependent applications and/or data sources
                                                          - Demonstrated capacity to work collaboratively with client organizations
                                                          - Ability to work with and lead diverse remote teams
                                                          - Ability to develop and present new ideas and conceptualize new approaches and solution
                                                          - Proven analytical skills and systematic problem solving

                                                          We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality.

                                                          To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers.https://accntu.re/2Hcjdtn
                                                          is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.

                                                          Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

                                                          We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

                                                          Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

                                                          +

                                                          Locations

                                                          Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                          +
                                                          +
                                                          +

                                                          Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                          +

                                                          Equal Employment Opportunity Statement

                                                          +

                                                          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                          +

                                                          Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                          +

                                                          Requesting An Accommodation

                                                          +

                                                          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                          +

                                                          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                          +

                                                          Other Employment Statements

                                                          +

                                                          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                          +

                                                          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00869356_en&title=SAS+Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2021-07-01T22:00:25.178Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/69402745-sas-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00869356_en&title=SAS+Data+Engineering+Manager,expired,2021-06-24T21:28:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7d28ea88-b96d-4f94-bc47-d12894d88b81,69406411,Deloitte,"Consultant, Intelligent Automation Developer, Omnia AI (Toronto)",on_site,"Toronto, Ontario, Canada",2021-06-24T22:05:43.973Z,"
                                                          +

                                                          Job Type: Permanent
                                                          Primary Location: Toronto, Ontario, Canada
                                                          All Available Locations: Toronto; Ottawa

                                                          +

                                                          +

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Be empowered to lead and have impact with clients, our communities and in the office.


                                                          +
                                                          +
                                                          +
                                                          +

                                                          +

                                                          Are you passionate about new and leading automation technology solutions? Are you driven to learn about them and keep up with market evolution? We want to hear from you!

                                                          +
                                                          +
                                                          +
                                                          +

                                                          What will your typical day look like?

                                                          +

                                                          +
                                                          +
                                                          +

                                                          As a Senior Consultant in the Intelligent Automation (IA) Omnia AI service offering, you will be part of a team that delivers IA solutions to our clients and supports evaluation, architecture, and implementation of IA opportunities. We will count on you to resolve incidents quickly and proactively, advise and implement value-added enhancements that can transform our clients' business and provide excellent customer service. Responsibilities include:

                                                          +
                                                          • Support project lead in the creation and ongoing refinement of an appropriately tailored IA solution that provides the optimum platform for rapid and repeatable delivery of automated processes.
                                                          • Develop and document IA configuration best practices, configure new IA processes and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
                                                          • Drive the strategic and tactical deployment of IA solution to clients by creating and documenting test procedures and scenarios for pre-UAT phases and supporting the Operational Teams during User Acceptance Testing (UAT) and production rollout phases.
                                                          • Support existing processes and implementing change requirements as part of a structured change control process as well as problem solving issues that arise in day to day running of IA processes and providing timely responses and solutions as required.
                                                          -

                                                          -

                                                          What You Can Expect:

                                                          -

                                                          We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                          -

                                                          -

                                                          Other perks of joining Loblaw:

                                                          -
                                                            -
                                                          • Competitive compensation and benefits package
                                                          • -
                                                          • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                          • -
                                                          • A flexible work environment which values balance
                                                          • -
                                                          • Colleague Discount Program
                                                          • -
                                                          • Tuition reimbursement Program
                                                          • -
                                                          • Employee Share Ownership plan
                                                          • -
                                                          • Pension Plan
                                                          • +
                                                          +
                                                          +
                                                          +
                                                          +

                                                          About the team

                                                          +

                                                          +
                                                          +
                                                          +

                                                          Omnia AI, Deloitte's Artificial Intelligence practice, is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          +

                                                          In our view, the best IA Consultants are passionate about new and leading automation technology solutions, and are driven to learn about them and keep up with market evolution. They possess strong problem solving and analytical skills, are comfortable working remotely with colleagues and clients, and have an understanding of software development and/or configuration principles.

                                                          +
                                                          +
                                                          +
                                                          +
                                                          +

                                                          Enough about us, let’s talk about you

                                                          +

                                                          +
                                                          +
                                                          +

                                                          You are someone with:

                                                          +
                                                          • 4+ years of development experience with 2+ years in Intelligent Automation
                                                          • A degree in computer science, engineering or a related field
                                                          • Experience in implementing enterprise level IA solutions using tools such as: BluePrism, UiPath, Automation Anywhere, Workfusion, Hyperscience, ABBY
                                                          • Good understanding of Software Development life cycle process
                                                          • Experience in implementing or supporting 2 - 5 end to end IA projects
                                                          • Experience with software development methodology such as Waterfall, Agile, etc
                                                          • Eligibility for Canadian security clearances preferred
                                                          -

                                                          -

                                                          If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                          -

                                                          -

                                                          We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                          -

                                                          -

                                                          -

                                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Employment Type:

                                                          Full time

                                                          -

                                                          -

                                                          Type of Role:

                                                          Regular

                                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                          -

                                                          -

                                                          Please Note:  
                                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                          -
                                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-03-14T18:05:03.822Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/111996673-senior-analyst-data-quality-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-03T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -e098428a-6ea7-4c8f-bc0a-27f628c53c88,113374170,RBC,"Senior Manager, Data Scientist",on_site,"Toronto, ON, Canada",2022-03-10T12:45:04.533Z,"
                                                          +
                                                          +
                                                        +

                                                        Why Deloitte?

                                                        +

                                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                        +
                                                        • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                        • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                        • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                        • +
                                                        +


                                                        The next step is yours

                                                        +

                                                        Sound like The One Firm. For You?

                                                        +

                                                        At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                        +

                                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                        ",,https://careers.deloitte.ca/job/Toronto-Consultant%2C-Intelligent-Automation-Developer%2C-Omnia-AI-Toronto-ON-M5C-3G7/704078200/,feed-importer@jobboard.io,,,,2021-07-25T14:53:14.810Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/69406411-consultant-intelligent-automation-developer-omnia-ai-toronto-at-deloitte,https://careers.deloitte.ca/job/Toronto-Consultant%2C-Intelligent-Automation-Developer%2C-Omnia-AI-Toronto-ON-M5C-3G7/704078200/,expired,2021-06-24T22:05:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +d831c748-e377-41e9-9828-674af6ef6f79,69406554,RBC,"Associate Director, Capital Markets Finance Strategy and Analytics",on_site,"Toronto, Ontario, Canada",2021-06-24T22:08:38.049Z,"

                                                        What is the opportunity?

                                                        -

                                                        The Senior Manager, Governance and Managment supports FDA and F&C leadership in assesing including providing Trending, Finance Analytics, Research, Executive/Operational Dashboards, and Expertise to senior management, enhancing their ability to cretae operational efficeincy across CFO. The role ensures a robust and authoritative fact base and analytic capabilities to support of the execute and develop advance analytics within CFO.

                                                        -

                                                        Additionally, the role provides ongoing feedback, advice, analysis and support, indepth data analysis, and higlight process gaps to executives and senior management, Functional Managers (FM) or Subject Matter Experts (SME) ensuring full benefit and clarity of Finance Analytics, the value proposition and overall positive impact on the RBC.

                                                        +

                                                        The Associate Director, Capital Markets Finance Strategy and Analytics is a key member of the performance management team in Capital Markets Platform Finance that will include responsibility for strategic analysis, reporting, and performance management analytics & insights

                                                        +

                                                        Global regulatory constraints and the impact from the market environment on global financial institutions have materially changed the way the enterprise needs to optimize its resources. Capital Markets arguably has been impacted the most of all the RBC platforms and the need to provide value added, timely and accurate support to senior executives has increased significantly. The complexity of the analytics and the demand for more strategic support to the Front Office has grown exponentially and is a current challenge (and opportunity) for Capital Markets executives to navigate

                                                        +

                                                        This role will appeal to individuals who thrive in a fast-paced area that has significant visibility and a high profile across RBC (especially within Capital Markets), and who have an appetite for working in an innovative environment.

                                                        What will you do?

                                                          -
                                                        • Extract, manipulate and analyze data from a variety of sources to formulate insightful conclusions, provide strategic recommendations, and inform management actions, both as part of routine people-level analytics and in support of new initiatives
                                                        • -
                                                        • Provide relevant, credible and actionable analytics to inform business diagnosis
                                                        • -
                                                        • Design complex and large-scale datasets to be used for statistical modeling and data mining
                                                        • -
                                                        • Conduct exploratory analysis and interpretation of new and different data sources to find solutions to business problems
                                                        • -
                                                        • Present and communicate data analysis in a clear and compelling way to business audiences, at all levels with the relevant insights
                                                        • -
                                                        • Design and implement scenario models relevant to Finance Domain
                                                        • -
                                                        • Perform tasks related to development of advanced data mining models which could include but not limited to clustering, segmentation, natural language processing, time-series analysis, sentiment analysis, linear programming, and Bayesian analysis.
                                                        • -
                                                        • Provide subject matter expertise in experimental design
                                                        • -
                                                        • Collaborate with internal stakeholders to develop tools and services such as modeling, dashboards, decision aids and business case analysis to drive innovation, strategic initiatives and recommend solutions
                                                        • -
                                                        • Work with internal technology groups to develop and enhance data support for model development and automation of the models
                                                        • -
                                                        • Support development of other team members immediate team and greater team by involving them in key projects or initiatives; offers peer coaching and training/learning
                                                        • -
                                                        • Coordination with various groups for key inputs into models; Prepare detailed documentation to outline models and algorithms
                                                        • +
                                                        • Responsible for the development of insightful analysis and actionable information working directly and indirectly with business leaders, the CEO, COO and CFO of CM, CFO of RBC, Capital Markets Operating Committee, and senior regional staff in the execution of forward-looking deliverables including strategic Line of Business enterprise reviews as well as internal performance and rating agency reviews
                                                        • +
                                                        • Provide business executives and senior management of Capital Markets with analysis and recommendations on business performance, through identification of issues and ongoing monitoring, as well as provide analysis of strategic initiatives and key decision variables
                                                        • +
                                                        • Execute on fast-paced ad hoc deliverables supporting business and finance executives in performance management analyses and financial outputs
                                                        • +
                                                        • Proactively develop, monitor, and message key performance metrics (financial and non-financial) including, but not limited to, external peer benchmarking and model-based outputs
                                                        • +
                                                        • Support build out of analytical capabilities and performance management tools for both forecasting and analytics purposes. Analyze key performance drivers and correlate external market factors to produce value-added insights in driving business performance and senior management insights
                                                        • +
                                                        • Provide insightful and actionable analysis of Capital Markets results and work on complex presentations (in most cases based on financial modelling exercises) to support executive decision-making
                                                        • +
                                                        • Be a key Finance contact for the Capital Markets platform ensuring reporting, analysis, and performance management requirements are meeting the needs of the Capital Markets CFO and the Capital Markets Operating Committee through timely, actionable, and insightful reporting.
                                                        • +
                                                        • Build upon strong stakeholder relationships to support performance management requirements and enhance cross-unit collaboration capabilities

                                                        What do you need to succeed?

                                                        Must-have

                                                          -
                                                        • A degree in Machine Learning, Statistics, AI, Computer Science, Engineering, or Technology
                                                        • -
                                                        • Hadoop Developer or Data Scientist certification (Hortonworks preferred)
                                                        • -
                                                        • 3+ years of Applied Statistics, Data Mining, and Machine Learning experience
                                                        • -
                                                        • 5+ years of production experience with python, or equivalent statistical or ML framework
                                                        • -
                                                        • 3+ years of experience Unix/Linux shell scripting
                                                        • -
                                                        • Excellent understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle
                                                        • -
                                                        • Production experience implementing Lookalike, Clustering Decision Tree models
                                                        • -
                                                        • Production experience with Text Mining, Natural language processing and Recommender systems
                                                        • -
                                                        • Expert-level SQL querying skills
                                                        • -
                                                        • In-depth understanding and production experience with the core Hadoop components, including Hive, Spark, HDFS etc.
                                                        • +
                                                        • CPA, CFA, or Finance MBA
                                                        • +
                                                        • 3+ years’ experience in fields related to finance performance management and strategic analysis
                                                        • +
                                                        • Keen sense of numbers and strong analytical skills with ability to prioritize multiple tasks and handle time-sensitive executive level requests on a continuous basis
                                                        • +
                                                        • Excellent leadership and interpersonal skills with the ability to influence stakeholders and mobilize teams to deliver on common goals
                                                        • +
                                                        • Superior organizational, analytical, and problem solving skills
                                                        • +
                                                        • Ability to creatively and consistently exercise independent thought and judgment; and adapt to new tasks quickly
                                                        • +
                                                        • Innovative, proactive, and persistent in issue resolution
                                                        • +
                                                        • Very strong Microsoft Excel and PowerPoint Presentation skills, with data mining acumen to explore and employ novel approaches/tools/technologies to enhance the delivery of financial information

                                                        -

                                                        Nice-to-have

                                                        +

                                                        Nice-to-have

                                                          -
                                                        • Working knowledge of financial statements, forecasting, budgeting and financial analysis
                                                        • -
                                                        • Strong knowledge and skills of RBC data, analytics methodology, practices and tools
                                                        • +
                                                        • Experience in wholesale business activity and/or financial resource optimization (capital, funding, and liquidity).
                                                        • +
                                                        • Solid understanding of bank structure, risk management concepts, financial markets, and instruments
                                                        • +
                                                        • Working knowledge of Python, R, or other data analytics toolsets

                                                        -

                                                          What’s in it for you?

                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            @@ -29630,102 +27477,42 @@ e098428a-6ea7-4c8f-bc0a-27f628c53c88,113374170,RBC,"Senior Manager, Data Scienti

                                                            -

                                                            RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

                                                            -

                                                            -

                                                            RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                            +

                                                            Join our Talent Community
                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                            JOB SUMMARY
                                                            City: Toronto
                                                            Address: 200 Bay Street
                                                            Work Hours/Week: 37.5
                                                            Work Environment: Office
                                                            Employment Type: Permanent
                                                            Career Level: Experienced Hire/Professional
                                                            Pay Type: Salary + Variable Bonus
                                                            Required Travel (%): 0-25
                                                            Exempt/Non-Exempt: N/A
                                                            People Manager: Yes
                                                            Application Deadline: 07/08/2021
                                                            Platform: CFO Group

                                                            Req ID: 380496
                                                            Ad Code(s):

                                                            -

                                                            Join our Talent Community
                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                            JOB SUMMARY
                                                            City: Toronto
                                                            Address: 20 King Street W
                                                            Work Hours/Week: 37.5
                                                            Work Environment: Office
                                                            Employment Type: Permanent
                                                            Career Level: Experienced Hire/Professional
                                                            Pay Type: Salary + Variable Bonus
                                                            Required Travel (%): 0
                                                            Exempt/Non-Exempt: N/A
                                                            People Manager: No
                                                            Application Deadline: 03/11/2022
                                                            Platform: CFO Group

                                                            Req ID: 455057
                                                            Ad Code(s):

                                                            -
                                                          ",,https://jobs.rbc.com/ca/en/job/455057/Senior-Manager-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-03-14T12:50:04.385Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/113374170-senior-manager-data-scientist-at-rbc,,expired,2022-03-10T12:45:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -19685f04-ba91-4752-9bdc-297de2ec9098,112319606,CIBC,"Analytics Consultant, Fraud Analytics, Risk Management",on_site,"Ontario, Canada",2022-03-05T10:03:02.414Z,"
                                                          -
                                                          -
                                                          -

                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                          -

                                                          -

                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                          -

                                                          -

                                                          To learn more about CIBC, please visit CIBC.com

                                                          -

                                                          -

                                                          Job Description

                                                          -

                                                          -

                                                          What You’ll Be Doing

                                                          -

                                                          You will provide ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems, conduct data extraction and manipulation using SAS for fraud reporting, assist the team in the development and application of complex statistical concepts/theories and predictions including cost/benefits analysis, optimization, predictive models and sampling.

                                                          -
                                                          • You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                          -

                                                          -

                                                          How You’ll Succeed

                                                          -
                                                            -
                                                          • Analytical Thinking –Improve fraud monitoring by responding to fraud trends and mitigate risk surrounding operational processes. Conduct feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

                                                          • -
                                                          • Data Management – Creation and maintenance of SAS and SQL programs to access a decision support data repository. Database management/querying, and computer programming/software expertise.

                                                          • -
                                                          • Communication Skills– Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.

                                                          • -
                                                          -

                                                          -

                                                          Who You Are

                                                          -
                                                            -
                                                          • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                          • -
                                                          • You have a degree/diploma in preferably Mathematics, Statistics, Business or Computer Science Based discipline in addition to recent SAS Programming Certification

                                                          • -
                                                          • You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in analytical techniques and constantly seek to improve your knowledge in this field.

                                                          • -
                                                          • You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what\'s possible. You are curious and proactive, you constantly offer new solutions based on sound analysis.

                                                          • -
                                                          • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                          • -
                                                          -

                                                          -

                                                          What CIBC offers

                                                          -

                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                          -
                                                            -
                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                          • -
                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                          • -
                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                          • -
                                                          -

                                                          -

                                                          -

                                                          What you need to know

                                                          -
                                                            -
                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                          • -
                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                          • -
                                                          • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                          • -
                                                          -

                                                          -

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Job Location

                                                          Toronto-750 Law Ave. W., E4

                                                          Employment Type

                                                          Regular

                                                          -

                                                          Weekly Hours

                                                          37.5

                                                          Skills

                                                          -

                                                          Data Analytics (Inactive), Fraud Analysis, Fraud Investigation (Inactive), Risk Management, Software Programming (SQL) (Inactive), Tableau
                                                          -
                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analytics-Consultant--Fraud-Analytics--Risk-Management_2207485,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-03-17T10:08:02.727Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/112319606-analytics-consultant-fraud-analytics-risk-management-at-cibc,,expired,2022-03-05T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -9b22a0af-e8a4-4a0a-adfe-ffd51c2cf272,113997999,Deloitte,"Data Visualization Consultant, Omnia AI",on_site,"Ontario, Canada",2022-03-11T02:43:02.976Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Toronto, Ontario, Canada
                                                          All Available Locations: Toronto

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                                          +
                                                          ",,https://jobs.rbc.com/ca/en/job/380496/Associate-Director-Capital-Markets-Finance-Strategy-and-Analytics,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-12T22:39:10.180Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/69406554-associate-director-capital-markets-finance-strategy-and-analytics-at-rbc,https://jobs.rbc.com/ca/en/job/380496/Associate-Director-Capital-Markets-Finance-Strategy-and-Analytics,expired,2021-06-24T22:08:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +90faaea5-813d-47b7-9250-3558e5abfc21,69901871,Deloitte,"Data Science Manager, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-06-27T22:06:07.146Z,"
                                                          +

                                                          Job Type: Permanent
                                                          Primary Location: Toronto, Ontario, Canada
                                                          All Available Locations: Toronto; Ottawa; Vancouver

                                                          +

                                                          Partner with clients to solve their most complex business problems
                                                          Be encouraged to deepen your technical skills…whatever those may be
                                                          Lead projects and teams to make an impact that matters

                                                          +
                                                          -

                                                          -
                                                          -

                                                          -

                                                          You love to solve complex business problems, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data and design to make impact that matters – if that is you, then Omnia AI is where you want to be.

                                                          -
                                                          +

                                                          +

                                                          Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                          -

                                                          What will your typical day look like?

                                                          -
                                                          +
                                                          +

                                                          What will your typical day look like?

                                                          -

                                                          You will be responsible for conducting detailed requirements gathering sessions and articulating client needs within briefing documentation. Responsible for designing and developing interactive data visualizations that adhere to Information Design best practices and communicate business insights back to clients. Collaborating extensively with clients and other Deloitte teams. Liaising with data science and data architecture team members to optimize client data for visualization purposes. Managing project timelines and client deliverables. Candidates with experience creating visualizations for Financial Services, Public Sector, Healthcare, Consumer or Energy & Resource sectors are preferred.

                                                          +

                                                          As a Data Science Manager you will assume full life cycle responsibility to lead and manage client engagements, with a focus on the Consumer & Retail industry and lead and oversee the development of machine learning models to deliver best-of-breed solutions for clients’ business problems. You will drive growth and market eminence for the Omnia AI data science practice through thought leadership and business development in the Consumer & Retail industry. The Data Science Manager will take a hands-on role in delivering consulting services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, business/industry leaders, design analytical plans and communicate insights on client projects. You will also be providing mentorship to team of data scientists in project planning, data collection, modelling, insights development and lead development of pitches and proposal bids

                                                          -

                                                          About the team

                                                          -
                                                          -

                                                          -

                                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Our Data & Analytics Modernization team helps clients design, architect, and implement the data platforms – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                          +
                                                          +

                                                          About the team

                                                          +

                                                          +

                                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Enough about us, let’s talk about you

                                                          +
                                                          +

                                                          Enough about us, let’s talk about you

                                                          +

                                                          +
                                                          -

                                                          -

                                                          You are someone with:

                                                          -

                                                          -
                                                          • University or college degree, preferably within the disciplines of statistics, mathematics, computer science, geospatial analysis or graphic/communication design
                                                          • Strong working knowledge of Tableau, MS Power BI, and/or other data visualization software
                                                          • Minimum of 2+ years applying Information Design best practices to create static or interactive visualizations for client deliverables
                                                          • Strong presentation and communication skills to facilitate workshops and convey ideas and concepts to various target groups in both functional and technical roles
                                                          • A passion for quality visual design and user experience
                                                          • Data visualization portfolio
                                                          • Good working knowledge of Adobe Creative Suite (InDesign, Illustrator) is a plus
                                                          • Knowledge of SQL, JS and D3 is a plus
                                                          • +

                                                            You are someone with:

                                                            +
                                                            • 5+ years of relevant work experience with applying analytics, data science and machine learning and working with data in the Consumer & Retail industry.
                                                            • Strong experience with Machine Learning agile project management end-to-end including planning & budgeting, resourcing and delivery
                                                            • Data science experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                            • Strong experience with other statistical analytical techniques, data mining, and predictive models
                                                            • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
                                                            • Superior oral and written communication skills, with demonstrated ability to communicate insights to executive business audiences
                                                            • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is preferred. Advanced degree (MA/MSc, equivalent or higher) is preferred
                                                            -


                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          @@ -29741,2537 +27528,1782 @@ e098428a-6ea7-4c8f-bc0a-27f628c53c88,113374170,RBC,"Senior Manager, Data Scienti

                                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                          -

                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-18T02:48:11.082Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/113997999-data-visualization-consultant-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,expired,2022-03-11T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -36947c43-15a7-4dac-b185-a6753c239bc4,109306801,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2022-02-17T02:42:07.158Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Multiple Locations, Canada
                                                          All Available Locations: 15993; 15952; 15975; 15978; 15997

                                                          -
                                                          -

                                                          -

                                                          Our Purpose

                                                          -

                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                          -

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Uncover the possibilities of AI in your career and set the foundation for success tomorrow

                                                          -
                                                          -
                                                          -
                                                          -

                                                          -
                                                          -

                                                          -

                                                          Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                                          -
                                                          -
                                                          -
                                                          -

                                                          What will your typical day look like?

                                                          -
                                                          -

                                                          -

                                                          As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                                          You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                                          -

                                                          Specifically, you will:

                                                          -
                                                          • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                                          • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                          • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                                          • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.
                                                          • +

                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,feed-importer@jobboard.io,,,,2021-07-27T00:39:41.315Z,False,0,4,51,https://talenthub.vectorinstitute.ai/jobs/69901871-data-science-manager-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Science-Manager%2C-Omnia-AI-ON-M5C-3G7/736378100/,expired,2021-06-27T22:06:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +934f6af7-1592-4a5d-a693-4126443ec757,69949312,Roche,Computational Biologist,on_site,"Canada , + Ontario , + Mississauga",2021-06-28T22:06:37.764Z,"
                                                          +

                                                          +

                                                          Title: Computational Biologist
                                                          Department: Global IT Solution Center
                                                          Location: Mississauga Head Office
                                                          Duration: Full time

                                                          +

                                                          +

                                                          Project

                                                          +

                                                          Looking for interdisciplinary scientist with experience in computing and biology to perform scientific data analyses in partnership with Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

                                                          +

                                                          +

                                                          Required Skills

                                                          +
                                                            +
                                                          • 3-6 years of experience required with minimum of a Bachelor’s Degree in Information Technology, Bioinformatics, or related sciences; advanced degree in Biological field with significant computational training also acceptable; PhD and post-doctoral experience preferred.
                                                          • +
                                                          • Unix/Linux proficiency and R programming including experience with Bioconductor libraries.
                                                          • +
                                                          • Documented experience with sequencing/genomic data analysis (NGS) and related bioinformatics tools and libraries (eg. RNAseq analysis, WGS, single cell analyses).
                                                          • +
                                                          • Good understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.
                                                          • +
                                                          • Excellent communication, advanced English reading, writing, listening and speaking skills.
                                                          • +
                                                          • Responsible and reliable; goal and task oriented. Able to work independently to answer scientific questions using public and private data sets.
                                                          -

                                                          -
                                                          -
                                                          -
                                                          -

                                                          About the team

                                                          -
                                                          -

                                                          -

                                                          Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -


                                                          Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Enough about us, let’s talk about you

                                                          -
                                                          -

                                                          -

                                                          You are someone with:
                                                          • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                                          • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                                          • 5+ years of technology consulting or industry experience in data & analytics delivery
                                                          • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                                          • Effective communicator that can explain complex technical concepts to executives and business leaders

                                                          -

                                                          -

                                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          -


                                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                          -
                                                          -
                                                          -
                                                          -

                                                          -

                                                          Our shared values

                                                          -

                                                          While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                          -

                                                          They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                          -

                                                          Every day, we live our Purpose through the following five shared values:

                                                          -
                                                          • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                          • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                          • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                          • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                          • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                          • -
                                                          -



                                                          The next step is yours

                                                          -

                                                          Sound like The One Firm. For You? Apply by [insert date].

                                                          -

                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                          -

                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                          -

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-19T16:37:17.533Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/109306801-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2022-02-17T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -6f1f671d-2fc3-42d2-b1d6-b1e79251e009,108987693,Shopify Inc.,"Data Science Manager (Remote, Canada)",on_site,"Ontario, Canada",2022-02-15T07:20:16.603Z,"

                                                          About the role

                                                          -

                                                          Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                          -

                                                          We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.

                                                          -

                                                          What your role will look like:

                                                          +

                                                          +

                                                          Preferred Skills and Experience

                                                            -
                                                          • Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data

                                                          • -
                                                          • Proactively identify and champion projects that solve complex problems across multiple domains

                                                          • -
                                                          • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business

                                                          • -
                                                          • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes

                                                          • -
                                                          • Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

                                                          • +
                                                          • Strong background, experience, or degree in biomedical field is preferred (eg. Oncology, Neuroscience, Immunology, Microbiology, Genetics, etc.).
                                                          • +
                                                          • History of scientific authorship. (First, middle, and senior author articles all beneficial.)
                                                          • +
                                                          • Experience with version control and issue tracking systems (eg. git, JIRA).
                                                          • +
                                                          • Experience with SQL and no-SQL databases.
                                                          • +
                                                          • Experience working with High Performance Computing (HPC) environments.
                                                          • +
                                                          • Machine Learning and Data Mining skills are a benefit.
                                                          • +
                                                          • Please briefly highlight publications/experience with computational analysis of Single Cell (eg. scRNAseq), ATACseq, ChipSeq, GWAS, WES, Gene Set or Pathway Analyses, and related datasets.
                                                          • +
                                                          • Please briefly highlight publications/experience with epigenetic, proteomic, lipidomic, functional genomic, iPSC, structural biology, or microbiome analyses.
                                                          -

                                                          -

                                                          Qualifications

                                                          You will need to have:

                                                          +

                                                          List of Duties

                                                            -
                                                          • 7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
                                                          • -
                                                          • Experience building and managing high performance data science teams
                                                          • -
                                                          • Experience delivering business impact through analysis and data products
                                                          • -
                                                          • Experience building data pipelines and driving ETL design decisions
                                                          • -
                                                          • Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
                                                          • -
                                                          • Experience creating data product strategies, shipping data products, iterating after launch, and trying again
                                                          • -
                                                          • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                          • -
                                                          • Strong ability to prioritize and communicate to technical and non-technical audiences alike
                                                          • +
                                                          • Engage with partner scientists at Genentech, understand their biological questions, and use public and internal databases to provide reliable scientific answers.
                                                          • +
                                                          • Running existing pipelines to process and analyze sequencing data.
                                                          • +
                                                          • Reporting, documenting and visualizing data analysis results using open source and internally developed tools.
                                                          • +
                                                          • Occasional development of custom R/Shiny applications.
                                                          -

                                                          It would be great if you have:

                                                          +

                                                          +

                                                          Our offer

                                                            -
                                                          • Previous experience using Spark (either via Scala or Pyspark)
                                                          • -
                                                          • Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
                                                          • -
                                                          • Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
                                                          • +
                                                          • Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function;
                                                          • +
                                                          • Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives;
                                                          • +
                                                          • Attractive and competitive salary and package;
                                                          • +
                                                          • Professional development culture supported by training, development plans, and international opportunities.
                                                          • +
                                                          • Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).
                                                          -
                                                          -
                                                          -
                                                          -

                                                          All your information will be kept confidential according to EEO guidelines.

                                                          -

                                                          If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                          -

                                                          #LI-REMOTE

                                                          -

                                                          Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                          -

                                                          Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                          -

                                                          At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                          How we hire

                                                          At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                          Learn more about our hiring process -
                                                          -
                                                          -
                                                          -
                                                          ",,https://www.shopify.ca/careers/data-science-manager-remote-canada_60487190-f32f-4238-9ce6-927f91892e76,feed-importer@jobboard.io,,,,2022-03-19T16:34:08.942Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/108987693-data-science-manager-remote-canada-at-shopify-inc,,expired,2022-02-15T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -76b6ccfa-9ce1-466a-904f-edbd5ec76c9f,112011717,KPMG,"Lighthouse - Data Scientist, Fall Co-op 2022",on_site,"Toronto, Canada",2022-03-03T20:34:21.444Z,"Overview

                                                          Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                          At KPMG in Canada, we believe our differences make us stronger. When you join the team, you'll be part of a diverse group of professionals with a common goal - making an impact and driving innovation.

                                                          In a culture that fosters inclusion and encourages flexibility, you’ll receive the tools and guidance to grow your skills and achieve success your way.

                                                          Come as you are. Lets do this.

                                                          Why KPMG Lighthouse Exponential?

                                                          KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                            -
                                                          • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                          • -
                                                          • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                          • -
                                                          • Our teams build and deliver solutions that transform the business of our clients
                                                          • -
                                                          • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                          • -

                                                          KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist, intern/co-op to join our team! This role will be a rewarding experience for you if you:

                                                            -
                                                          • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                          • -
                                                          • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                          • -
                                                          • Have a permanent “figure it out” mindset
                                                          • -

                                                          What you will do

                                                            -
                                                          • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                          • -
                                                          • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                          • -
                                                          • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                          • -
                                                          • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                          • -
                                                          • Architect the data platform for scalability, repeatability and performance.
                                                          • -
                                                          • Develop standards for data processes and automate routine tasks.
                                                          • -
                                                          • Run queries for descriptive analytics and provide formatted result sets.
                                                          • -
                                                          • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                          • -
                                                          • Support application testing and production implementation as required.
                                                          • -
                                                          • Bridge the gap between technical platform needs and business issues.
                                                          • -
                                                          • Enable overall solution and full-scope architecture design and build.
                                                          • -
                                                          • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                          • -

                                                          What you bring to the role

                                                            -
                                                          • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                          • -
                                                          • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                          • -
                                                          • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                          • -
                                                          • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                          • -
                                                          • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                          • -
                                                          • Basic understanding of Data Warehousing and Data Modeling.
                                                          • -
                                                          • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                          • -

                                                          Keys to your success:

                                                            -
                                                          • Ability to explain data and analytics concepts to non-technical team members.
                                                          • -
                                                          • Ability to apply data and analytics concepts to business problems.
                                                          • -
                                                          • Ability to understand and explain business value of data and analytics concepts.
                                                          • -
                                                          • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                          • -
                                                          • Experience in visual exploration to perform data discovery and highlight insights
                                                          • -
                                                          • Knowledge of how specific visual components drive usability and understanding
                                                          • -
                                                          • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                          • -

                                                          To apply:

                                                          Please apply directly to KPMG at kpmg.ca/careers

                                                          Applications close on April 3rd 2022 at 11:59 PM EST.

                                                          Please expect a response 4-6 weeks after the application deadline.

                                                          Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a resume and an electronic copy of your most recent transcript (cover letter optional but strongly encouraged). If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.


                                                          If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.


                                                          Our Values, The KPMG Way

                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                          KPMG is committed to the health and safety of our people, clients and communities. With this commitment in mind, KPMG complies with all public health mandates (provincially and/or federally, as applicable) and has implemented various safety measures, including a COVID-19 Vaccination Policy. KPMG's COVID 19 Vaccination Policy requires all employees to be fully vaccinated if they wish to or are required to attend a KPMG office and/or other congregate settings in the course of their duties (such as client sites or third-party venues).

                                                          As this role requires occasional or consistent attendance at a KPMG office and/or congregate setting, the successful candidate must be fully vaccinated (i.e. have received all doses that are recommended by Health Canada, including any boosters) and must provide KPMG with proof of vaccination. KPMG will provide reasonable accommodation if the successful candidate cannot be vaccinated due to grounds protected by human rights legislation in their province of employment.

                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                          For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                          ",,https://careers.kpmg.ca/students/jobs/13903?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-03-28T20:58:59.914Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/112011717-lighthouse-data-scientist-fall-co-op-2022-at-kpmg,https://careers.kpmg.ca/students/jobs/13903?lang=en-us,expired,2022-03-03T20:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, -d28238cb-5af7-49d3-a4d6-ea48989d08b9,116590433,Deloitte,"Data Visualization Consultant, Omnia AI",on_site,"Ontario, Canada",2022-03-25T02:43:12.037Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Toronto, Ontario, Canada
                                                          All Available Locations: 15993; 15952; 15997

                                                          -

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                                          -
                                                          -
                                                          -

                                                          -
                                                          -

                                                          -

                                                          You love to solve complex business problems, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data and design to make impact that matters – if that is you, then Omnia AI is where you want to be.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          What will your typical day look like?

                                                          -
                                                          +

                                                          +

                                                          Please submit full academic CV with publication history and cover letter.

                                                          +

                                                          In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions.

                                                          +

                                                          +

                                                          Position will be posted until filled.

                                                          +

                                                          +

                                                          NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

                                                          +

                                                          +

                                                          AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

                                                          +

                                                          +
                                                          ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-113413&locale=en&title=Computational+Biologist,feed-importer@jobboard.io,,,,2021-07-08T22:38:35.398Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/69949312-computational-biologist-at-roche,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202105-113413&locale=en&title=Computational+Biologist,expired,2021-06-28T22:06:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +d0a3eb06-862c-4cb6-b68c-b546b833b1a7,69949424,RBC,Senior Data Scientist,on_site,"Toronto, Ontario, Canada",2021-06-28T22:09:06.441Z,"
                                                          +

                                                          What is the opportunity?

                                                          +

                                                          As a Senior Data Scientist, you will develop, design, and implement organization-wide cutting-edge AIOps(AI for IT Operations) solutions at RBC Technology Infrastructure. Leveraging leading edge technologies and various data sets, you will build machine learning based products to facilitate informed decision-making and business process optimization in order to minimize outages and reduce downtime of RBC services which save considerable amount of costs and also improve user experience.

                                                          -

                                                          You will be responsible for conducting detailed requirements gathering sessions and articulating client needs within briefing documentation. Responsible for designing and developing interactive data visualizations that adhere to Information Design best practices and communicate business insights back to clients. Collaborating extensively with clients and other Deloitte teams. Liaising with data science and data architecture team members to optimize client data for visualization purposes. Managing project timelines and client deliverables. Candidates with experience creating visualizations for Financial Services, Public Sector, Healthcare, Consumer or Energy & Resource sectors are preferred.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          About the team

                                                          -
                                                          -

                                                          -

                                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Our Data & Analytics Modernization team helps clients design, architect, and implement the data platforms – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Enough about us, let’s talk about you

                                                          -
                                                          -

                                                          -

                                                          You are someone with:

                                                          -

                                                          -
                                                          • University or college degree, preferably within the disciplines of statistics, mathematics, computer science, geospatial analysis or graphic/communication design
                                                          • Strong working knowledge of Tableau, MS Power BI, and/or other data visualization software
                                                          • Minimum of 2+ years applying Information Design best practices to create static or interactive visualizations for client deliverables
                                                          • Strong presentation and communication skills to facilitate workshops and convey ideas and concepts to various target groups in both functional and technical roles
                                                          • A passion for quality visual design and user experience
                                                          • Data visualization portfolio
                                                          • Good working knowledge of Adobe Creative Suite (InDesign, Illustrator) is a plus
                                                          • Knowledge of SQL, JS and D3 is a plus
                                                          • -
                                                          -


                                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Why Deloitte?

                                                          -

                                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                          -
                                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                          • +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
                                                            • +
                                                            • Collaborate proactively with various business and operation units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making
                                                            • +
                                                            • Prepare and integrate large and various types of data (structured/non-structured)
                                                            • +
                                                            • Implement machine learning models, data mining methods, and statistical analysis
                                                            • +
                                                            • Leverage visualization tools/packages to create powerful representations of results
                                                            • +
                                                            • Produce data-driven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives
                                                            • +
                                                            • Collaborate with the development team to deploy production-scale solutions
                                                            • +
                                                            • Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
                                                            -


                                                            The next step is yours

                                                            -

                                                            Sound like The One Firm. For You?

                                                            -

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            -

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            -

                                                            -

                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-29T02:48:02.428Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/116590433-data-visualization-consultant-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,expired,2022-03-25T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -5b625096-be03-4d06-af03-dd4628f6aba5,116168390,Scotiabank,Senior Project Lead (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-03-22T05:06:10.898Z,"

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Requisition ID: 144825

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          -

                                                          -

                                                          The Team

                                                          -

                                                          Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                          -

                                                          Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements.

                                                          -

                                                          -

                                                          The Role:

                                                          -

                                                          We are looking for an energetic and results-driven Senior Project Lead/Technical Navigator. The role acts as the link between the business and the technical teams across the Bank to make sure that the project teams deliver quality solutions that are optimized, secure, highly scalable, and flexible - all while maintaining a strong customer focus. Balancing the business needs versus technical constraints while keeping customer satisfaction as a top priority.

                                                          -

                                                          -

                                                          Where could you work? Both at home and in the office.

                                                          -

                                                          We’re focused on being an employer of choice for the communities we serve and offering a hybrid work environment for top Tech talent in Canada’s capital city. 
                                                          We’re creating a local ScotiaTech Hub in Ottawa. You’ll have the opportunity both to work remotely and head to the Ottawa office for in-person moments that foster team cohesiveness and collaboration.

                                                          -

                                                          Is this role right for you?

                                                          -
                                                          • Show proven ability to deliver projects using Agile methodologies and lean approach techniques.
                                                          • Communicate proactively with all stakeholders to provide encouragement, identify problems, create solutions. and implement efficiency improvements.
                                                          • Establish priorities, standards, and strategies consistent with technology roadmap, business goals and economic viability.
                                                          • Work with project sponsor to help understand infrastructure needs, and technical constraints to establish the scope of the project and define and deliver complex features.
                                                          • Understand business requirements and translating them into technical guidelines for development.
                                                          • Lead Data Delivery initiatives and manage diverse projects by providing guidance to development teams around intricacies and complexities of zero-based development.
                                                          • Provide input to the continuous improvement of processes and adopting latest technologies and methodologies.
                                                          • Coach for effective teamwork, communication, collaboration, and commitment across groups to help create an agile culture in the team.
                                                          • Lead pilot projects for the development of new applications
                                                          • Coach teams to re-build or build from scratch applications for infrastructure based on latest technology.
                                                          • Meet product owners, project sponsors, project stakeholders on a regular basis and help technical teams to identify, define, and specify solutions.
                                                          • +

                                                            What do you need to succeed?

                                                            +

                                                            Must-have

                                                            +
                                                              +
                                                            • PhD. or Masters in Computer Science, Statistics, or relevant fields.
                                                            • +
                                                            • Expert in Python programming to write production-ready codes. Strong data profiling, cleaning, mining and technical documentation skills
                                                            • +
                                                            • 2+ years of experience in developing machine learning models for real business problems
                                                            • +
                                                            • 2+ years of experience with NLP and text analytics methods and packages
                                                            • +
                                                            • Experience with big data technologies – parallel processing techniques and Apache Spark, NoSQL/SQL databases
                                                            • +
                                                            • Proficient in Linux environment, shell scripting, and Git

                                                            -

                                                            Do you have the skills that will enable you to succeed in this role?

                                                            -
                                                            • Bachelor’s degree (or higher) in Computer Science or related field
                                                            • A solid CS foundation including at least three (3+) years of experience in a software engineering and development role, experience with scalability issues and multi-tiered integration solutions
                                                            • 3+ years of team lead experience with interdisciplinary teams, driving technology projects (application development and infrastructure) with aggressive and changing schedules
                                                            • 3+ years of hands-on experience on scaled Agile methodologies
                                                            • Certified in Agile methodologies is an asset (Scrum, Kanban).
                                                            • Passionate about technology, maintains superior knowledge of emerging industry trends across multiple disciplines
                                                            • Thinks outside of the box and is able to lead the teams to innovate
                                                            • Ability to effectively manage multiple projects of varying complexity in a sophisticated matrix management organization.
                                                            • Knowledge of Hadoop technologies and Big Data design – nice to have
                                                            • Good knowledge of retail banking products and services – nice to have
                                                            • Familiar with Cloud Technologies (BaaS, IaaS, PaaS)
                                                            • +

                                                              Nice-to-have

                                                              +
                                                                +
                                                              • Strong knowledge and experience of different deep neural networks architectures (RNN, CNN, GAN, seq2seq/Transformers) and transfer learning
                                                              • +
                                                              • Experience with MLOps to build end-to-end pipeline and deploying models in production
                                                              • +
                                                              • Familiar with container-type environment: Docker, Openshift
                                                              • +
                                                              • Experience in graph analytics and time-series analysis
                                                              +

                                                              +

                                                              What’s in it for you?

                                                              -

                                                              What's in it for you?

                                                              -
                                                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                              • We provide you with the tools and technology needed to create beautiful customer experiences
                                                              • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                              • Dress codes don't apply here, being comfortable does
                                                              • Onsite cafeteria
                                                              • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.
                                                              • +
                                                                  +
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • A world-class training program in financial services
                                                                • +
                                                                • Flexible work/life balance options
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Opportunities to take on progressively greater accountabilities
                                                                • +
                                                                • Opportunities to building close relationships with clients
                                                                • +
                                                                • Access to a variety of job opportunities across business and geographies

                                                                -

                                                                #ottawahub 

                                                                -

                                                                Location(s): Canada : Ontario : Ottawa

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Project-Lead-%28Ottawa-Hub%29-ON/557293317/,feed-importer@jobboard.io,,,,2022-03-29T05:11:09.769Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/116168390-senior-project-lead-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Project-Lead-%28Ottawa-Hub%29-ON/557293317/,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -80c4a296-71c7-4e83-b88f-692c3a1a2fdf,116499632,RBC,Sr. Data Analyst,on_site,"Toronto, ON, Canada",2022-03-24T12:45:06.213Z,"
                                                          -

                                                          Come Work with Us!

                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                          -

                                                          Job Title

                                                          Sr. Data Analyst

                                                          +

                                                          Learn more about RBC Tech Jobs



                                                          Join our Talent Community
                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.



                                                          JOB SUMMARY
                                                          City: Toronto
                                                          Address: 330 Front Street W
                                                          Work Hours/Week: 37.5
                                                          Work Environment: Office
                                                          Employment Type: Permanent
                                                          Career Level: Experienced Hire/Professional
                                                          Pay Type: Salary + Variable Bonus
                                                          Required Travel(%): 0-25
                                                          Exempt/Non-Exempt: N/A
                                                          People Manager: No
                                                          Application Deadline: 05/14/2021
                                                          Platform: Technology and Operations

                                                          Req ID: 349413
                                                          Ad Code(s):

                                                          +

                                                          +
                                                          ",,https://jobs.rbc.com/ca/en/job/349413/Senior-Data-Scientist,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-07-15T22:40:13.875Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/69949424-senior-data-scientist-at-rbc,https://jobs.rbc.com/ca/en/job/349413/Senior-Data-Scientist,expired,2021-06-28T22:09:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +b62c056d-6d21-49d6-93a0-d6d29b9bc83a,34756942,TD Bank Group,Software Developer Co-Op - TD Innovation Lab,on_site,"Waterloo, ON, Canada",2020-05-19T20:21:14.699Z,"

                                                          Company Overview

                                                          +

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          +

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -

                                                          Job Description

                                                          +

                                                          Department Overview

                                                          +

                                                          Have you ever wondered how North America’s most successful companies develop some of their most innovative ideas? If so, consider joining our lab-based, fast-paced, and passionate team that ideates, builds, and tests innovative solutions that will shape the future of banking – and particularly targeted at students just like you. Think … developing solutions for students, by students!

                                                          +

                                                          TD Lab is an authentically lean and highly collaborative work environment where a progressive team is changing the way this bank thinks about our customers – one sprint at a time. Make your mark in a setting where every day operates like a well-funded start-up, while helping TD Bank lead the way in fintech!

                                                          +

                                                          As a software developer co-op in a role like no other, explore emerging technologies and be empowered to start/stop projects because of what the market tells you. Depending on internal TD Bank policies and legislation from all levels of government, you will either work in a vast, open and collaborative workspace in the Waterloo Region’s Communitech Hub alongside other leaders of corporate innovation, Velocity Garage, and a host of start-ups or in a virtual environment with TD Bank provided equipment, along with robust programming and professional development opportunities.

                                                          +

                                                          +

                                                          Job Description

                                                          +

                                                          You will truly learn, apply and experience lean concept and app development by:

                                                            -
                                                          • Effectively analyze large datasets to drive business decisions and outcome
                                                          • -
                                                          • Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
                                                          • -
                                                          • Collaborate proactively with various business and operation units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making
                                                          • -
                                                          • Prepare and integrate large and various types of data (structured/non-structured)
                                                          • -
                                                          • Implement machine learning models, data mining methods, and statistical analysis
                                                          • -
                                                          • Leverage visualization tools/packages to create powerful representations of results
                                                          • -
                                                          • Produce data-driven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives
                                                          • -
                                                          • Collaborate with the development team to deploy production-scale solutions
                                                          • -
                                                          • Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
                                                          • +
                                                          • Focusing on the right thing through design, prototyping and testing ideas with customers (out of the building)
                                                          • +
                                                          • Answering critical business questions as challenges by using methods such as the Google Design Sprint
                                                          • +
                                                          • Rapidly develop your vision of a solution into functional prototypes (for web and/or mobile)
                                                          • +
                                                          • Investigate potential of emerging and enabling technologies (e.g. AI, big data, platform features)
                                                          • +
                                                          • Refine presentation skills by pitching sprint demos, concepts and apps to senior technical executives
                                                          • +
                                                          • Share developer insights with other teams just as eager to learn

                                                          -

                                                          -

                                                          Job Summary

                                                          As the Data Analyst, you will develop, design, and implement cutting-edge AI solutions to drive innovation at RBC Cyber Security. Leveraging leading edge technologies and various data sets, you will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to protect the organization from various security threats.
                                                          You will identify business problems and opportunities in the context of the requirements and recommend solutions that enable the organization to achieve its goals. Using the broad spectrum of tools and approaches available at RBC, the Data Analyst will define the solutions to meet sponsor/stakeholder needs. You will be required to always be conscious and considerate of the most effective change management approach and looking to optimize business value by recommending well thought out and researched solutions.

                                                          Address:

                                                          TORONTO, Ontario, Canada

                                                          City:

                                                          CAN-ON-TORONTO

                                                          Country:

                                                          Canada

                                                          Work hours/week:

                                                          37.5

                                                          Employment Type:

                                                          Full time

                                                          Platform:

                                                          Technology and Operations

                                                          Job Type:

                                                          Service Provider (Training Not Required)

                                                          Pay Type:

                                                          Salaried

                                                          Posted Date:

                                                          2022-03-22-07:00

                                                          Application Deadline:

                                                          2022-03-31-07:00
                                                          -

                                                          Inclusion and Equal Opportunity Employment

                                                          -

                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                          ​​​​​​​
                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                          -
                                                          -

                                                          Join our Talent Community

                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                          -
                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000001344/Sr-Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-03-31T14:41:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/116499632-sr-data-analyst-at-rbc,,expired,2022-03-24T12:45:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -569e2de4-edd4-4267-bfed-2daa57edcbbf,115150651,Magna International,Data Scientist,on_site,"Ontario, Canada",2022-03-17T15:24:33.205Z,"


                                                          Group Description

                                                          -

                                                          At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                                          -

                                                          We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                                          -

                                                          -

                                                          Role Summary

                                                          -

                                                          The Data Scientist will be a key member of the R&D team and will use knowledge and expertise to solve data-related challenges in manufacturing operations and data analyses related to R&D projects. The incumbent will work with individuals and groups within and outside of Magna, while acting independently on technical matters pertaining to the designated subject area.

                                                          -

                                                          Key Responsibilities

                                                          +

                                                          Requirements

                                                          +

                                                          Every day is different and the skills you bring that would be an asset include:

                                                            -
                                                          • Prepare & perform data analysis as required
                                                          • -
                                                          • Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, simulate, and deploy with minimal supervision
                                                          • -
                                                          • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and Executive leadership
                                                          • -
                                                          • Support, plan, and execute ML and AI initiatives, manage and facilitate initial small-scale implementation, and support broad deployment and adoption within the organization
                                                          • -
                                                          • Leverage internal and external expertise as required
                                                          • -
                                                          • Regularly interface with senior management to provide project updates
                                                          • +
                                                          • Must be currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                          • +
                                                          • Object oriented programming languages (Java, C++, Objective C, etc)
                                                          • +
                                                          • iOS (Swift), Android, or Flutter (Dart) mobile development experience
                                                          • +
                                                          • Web development experience (HTML, CSS, JavaScript, React, etc)
                                                          • +
                                                          • RESTful APIs (NodeJS, Express, etc)
                                                          • +
                                                          • Firebase (Firestore, Authentication, Analytics, Functions)
                                                          • +
                                                          • Git version control
                                                          -

                                                          Key Qualifications/Requirements

                                                          +

                                                          +

                                                          Additional Information

                                                          +

                                                          The Lab’s Software Developers will mentor and guide you through our end-to-end design and development process. You will work on projects throughout the term and be exposed to the latest in modern technologies. You will have the opportunity to work as an intrapreneur, bringing impactful ideas to life while taking on challenging technical tasks. You can read about our co-op experience from one of our former co-op employees here: https://medium.com/td-lab/my-internship-with-td-labs-73675b3e2fb5

                                                          +

                                                          If you are a self-starter, like to think outside the box, and are looking for a challenge – this job is for you!

                                                          +

                                                          Please ensure your application includes:

                                                            -
                                                          • Master’s Degree in Mathematics, Statistics, Computer Science, Economics, Physics or a closely related education with 2+ years of experience in industry with a focus on data analytics
                                                            • Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science or a closely related education with 5+ years of experience in industry with a focus on data analytics
                                                            -
                                                          • -
                                                          • PhD preferred
                                                          • -
                                                          • Knowledge of manufacturing related data analytics is an asset
                                                          • -
                                                          • Knowledge of deployment of ML models and python/R code as an API locally and on cloud is an asset
                                                          • -
                                                          • Experience with a wide variety of ML and AI techniques and algorithms
                                                          • -
                                                          • Advance knowledge of R, Python, SQL and other related tools and toolchains to be able to oversee, direct, and manage projects in the field
                                                          • -
                                                          • 2+ years of experience in at least one of the following languages: Python, R
                                                          • -
                                                          • Working knowledge of GCP, AWS and/or Azure toolchains for data analysis
                                                          • -
                                                          • Experience with visualization tools such as Tableau and PowerBI
                                                          • -
                                                          • Willingness to ask questions and build networks/relationships with other departments/groups
                                                          • -
                                                          • Plan, organize, and supervise the work of external team of Engineers, Scientists and Technicians pertaining to projects that s/he is responsible for
                                                          • -
                                                          • Evaluate progress of the external staff and results obtained
                                                          • -
                                                          • Ability to recommend changes to achieve overall objectives
                                                          • -
                                                          • Advise on the management of staffing needs, selection/ assessment criteria, and the hiring process
                                                          • -
                                                          • Plan, organize, and supervise the work of external teams of Engineers, Scientists and Technicians pertaining to projects that s/he is responsible for
                                                          • -
                                                          • Evaluate progress of the external staff and results obtained
                                                          • -
                                                          • Recommend changes to achieve overall objectives
                                                          • +
                                                          • Cover letter (maximum 1 page)
                                                          • +
                                                          • Resume (maximum 2 pages)
                                                          • +
                                                          • Unofficial university transcript
                                                          -

                                                          Additional Information

                                                          -

                                                          Accommodations for disabilities in relation to the job selection process are available upon request.

                                                          -

                                                          Awareness. Unity. Empowerment.

                                                          -

                                                          At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                          ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ON/557665417/,aimasters@vectorinstitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-03-22T21:32:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/115150651-data-scientist-at-magna-international,,expired,2022-03-17T15:24:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,PhD,New Posting, -80158816-4d35-4632-a1e7-6dec8b76b795,112915277,Scotiabank,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-03-07T18:21:31.273Z,"

                                                          Purpose:

                                                          -


                                                          The Senior data scientist, Canadian Banking Analytics will support business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will partner with peers across Global Risk teams, the business lines, IT&S, ML Ops and technology to apply advanced analytics techniques and tools, as well as explore ideas to enhance business opportunities by leveraging state-of-the-art machine learning and artificial intelligence. The candidate will identify and prioritize opportunities to deliver innovative retail and business credit solutions leveraging risk-reward predictions and strategy optimization frameworks.

                                                          +

                                                          This position is a 4-month work term and will commence September 8, 2020.

                                                          +

                                                          TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change. Please note: correct work location address is 151 Charles St W, Kitchener, ON.

                                                          +

                                                          To learn more about #TDLabLife be sure to check out: Instagram (@TDLab_), Twitter (@tdlab) & Medium (https://medium.com/td-lab)

                                                          -

                                                          Accountabilities:

                                                          +

                                                          Hours

                                                          +

                                                          37.5

                                                          +

                                                          +

                                                          Inclusiveness

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          ",,https://jobs.td.com/en-CA/jobs/11021883/software-developer-co-op-td-innovation-lab-waterloo-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-06-01T16:12:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/34756942-software-developer-co-op-td-innovation-lab-at-td-bank-group,,expired,2020-05-19T20:21:00.000Z,admin,Enterprise (500+),,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +60223133-8f8e-422b-b33b-7d11918ab028,34834068,TD Bank Group,Adoption Data Analytics & Reporting Co-op/Intern,on_site,"Toronto, ON, Canada",2020-05-21T13:25:01.237Z,"

                                                          TD Description

                                                          +

                                                          +

                                                          Tell us your story. Don't go unnoticed. Explain why you're a winning candidate. Think ""TD"" if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          +

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here's our story: jobs.td.com

                                                          +

                                                          Department Overview

                                                          +

                                                          +

                                                          We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

                                                          Our Leaders are committed to people development, career advancement and value diversity and inclusion. The analytics and data science teams across the bank are responsible for transforming TD into a data-driven organization. We are looking for someone who will be an ambitious and dedicated contributor to our teams. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and technology fronts.

                                                          +

                                                          +

                                                          Job Description

                                                          +

                                                          +

                                                          The Data Analytics & Reporting Co-op belongs to the Product Ownership/Adoption pillar. The specialist leverages experience and understanding of data, analytics and reporting practices to provide business partners with relevant and high-impact advice, solutions and adoption support to leverage a Hadoop platform for data storage, management and analytics. The role provides functional and technical advice for business across the Enterprise on how best to leverage the Hadoop technologies for their analytic practices.

                                                          The Adoption Data Analytics & Reporting Co-op/Intern will perform a variety of activities, which may include:

                                                            -
                                                          • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                          • -
                                                          • Collaborate with GRM, business lines and other stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs and deliver actionable insights to capitalize on business opportunities
                                                          • -
                                                          • Lead data scientists delivering end to end projects of risk-reward predictions, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                          • -
                                                          • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail footprint to support growth or de-risking initiatives
                                                          • -
                                                          • Lead Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                          • -
                                                          • Collaborate with MLOps team to deploy AI and machine learning models in production, across business lines and products
                                                          • -
                                                          • Create and apply model and algorithm testing strategies; conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
                                                          • -
                                                          • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                          • -
                                                          • Present results to business stakeholders and help implement real data-driven changes
                                                          • -
                                                          • Lead research & development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation
                                                          • -
                                                          • Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in rapid labs across key markets through advisory and scalable solutions
                                                          • -
                                                          • Support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                          • -
                                                          • Liaise with GRM Financial Management for insights on risk appetite, early warnings and IFRS9
                                                          • +
                                                          • A general understanding of Big Data technologies & programming languages (Hadoop, Hive, Impala, R, Python) as well as traditional databases (DB2, Oracle, Teradata)
                                                          • +
                                                          • Consultative support to enable business to migrate their data activities from traditional tools and applications for analytics to enterprise platforms and solutions
                                                          • +
                                                          • Documentation and knowledge dissemination of best practices for working in the enterprise ecosystem
                                                          • +
                                                          • Evolvement of training curriculum to include new enterprise tools and capabilities
                                                          • +
                                                          • Solicit and document stakeholder feedback while working with them to adopt and leverage the enterprise tools and capabilities
                                                          -



                                                          Requirements & Qualifications:

                                                          +


                                                          The role will have general experience solving data, analytics and reporting problems through sustainable design and creative problem solving, either in a work and/or educational setting. The successful applicant will have practical exposure and understanding of a broad spectrum of data, analytics and reporting uses; application design, data modeling, data integration, analytics, advanced analytics and Big Data concepts. An ideal candidate will have delivered BI Reporting & Analytical projects utilizing the aforementioned techniques within a LOB

                                                          +

                                                          +

                                                          Job Requirements

                                                            -
                                                          • Master University degree in STEM discipline (Science, Technology, Engineering and Mathematics)
                                                          • -
                                                          • High business acumen with good understanding of Retail and Business Banking operations across all channels, as well as regulatory and socio-economic landscape across global footprint; Working experience leading complex risk analytics projects covering full credit life cycle is preferred
                                                          • -
                                                          • Minimum 3-5years working experience with advanced analytics, machine learning and other AI techniques applied to real world problems
                                                          • -
                                                          • Capability of writing error-free, high quality, maintainable and reusable code
                                                          • -
                                                          • Proven leadership skills with ability to lead large teams and deliver on large-scale projects
                                                          • -
                                                          • Solid interpersonal and communication skills with ability to build strategic relationships and influence stakeholders and deliver presentations to executive audience
                                                          • -
                                                          • Strong experience with common machine learning and deep learning programming languages and libraries (e.g. Python, R, scikit-learn, TensorFlow, Pandas, Numpy, XGBoost, PyTorch and etc.)
                                                          • -
                                                          • Experience with cleaning, transforming and visualizing large data sets in various data formats (e.g. unstructured logs, XML, JSON, flat files, Avro, Parquet)
                                                          • -
                                                          • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, Kafka)
                                                          • -
                                                          • Strong collaboration skills with ability to translate technical knowledge into business value
                                                          • -
                                                          • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL, Oracle)
                                                          • -
                                                          • Working experience of strategy optimization leveraging operations research principles
                                                          • -
                                                          • Experience using visualization tools e.g. Tableau, PowerBI, Matplotlib, Seaborn, plotly and etc.
                                                          • +
                                                          • Currently enrolled in a recognized post-secondary program and graduating with a university degree by 2021
                                                          • +
                                                          • Experience (1+ years) across data, analytics and reporting roles, which may include: warehouse / BI platform ownership, Business Information Management, Business Analytics, Advanced Analytics
                                                          • +
                                                          • Knowledge of Big Data tools and concepts such as Hadoop, Hive and Spark is valued
                                                          • +
                                                          • Superior relationship management skills - ability to build relationships and work collaboratively to identify solutions, resolve problems quickly and create bridges between groups
                                                          • +
                                                          • Excellent communication skills - Ability to communicate concepts clearly to both business and technology teams
                                                          • +
                                                          • Bring a strong willingness to learn and adapt to evolving tools and technologies in keeping with industry trends
                                                          • +
                                                          • A team player who shares their knowledge and supports the Enterprise success
                                                          • +
                                                          • Ability to work effectively in a fast-paced environment, multi-task and work with minimal supervision
                                                          • +
                                                          • Experience in working with data in numerous languages across many platforms is highly valued
                                                          • +
                                                          • Strong statistical and analytical skills and interest are necessary.

                                                          -


                                                          Preferred to have:

                                                          -

                                                          +

                                                          Additional Information

                                                          +

                                                          Please ensure your application includes:

                                                            -
                                                          • Working experience of strategy optimization leveraging operations research principles would be an asset
                                                          • -
                                                          • Experience with Docker, Airflow, etc
                                                          • -
                                                          • Knowledge of software engineering, development lifecycle, quality assurance, testing methodologies
                                                          • -
                                                          • Hands on experience with deep learning models such as CNN, LSTM and autoencoder
                                                          • -
                                                          • Hands on experience with one of the cloud platforms (GCP, AWS and Azure)
                                                          • +
                                                          • Cover Letter
                                                          • +
                                                          • Resume (maximum 2 pages)
                                                          • +
                                                          • Unofficial university transcript
                                                          -

                                                          +


                                                          This position is a 4-month work term (potential to extend to 8 months) and will commence September 8, 2020.

                                                          TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                                          -

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2T6/557203117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-03-22T21:32:00.000Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/112915277-senior-data-scientist-at-scotiabank,,expired,2022-03-07T18:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -898fb116-b479-4259-8ccd-1cbb529d5756,116275769,Sun Life Financial,"Director, Data Science (Machine Learning)",on_site,"Ontario, Canada",2022-03-23T07:03:01.912Z,"
                                                          -
                                                          -
                                                          -

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          -

                                                          -

                                                          Job Description:

                                                          -

                                                          -

                                                          Role Summary

                                                          -

                                                          -

                                                          As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                                          -

                                                          -

                                                          Reporting to the AVP, Innovation and Analytics, the Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will hire and lead a high-performing team of data scientists and provide thought leadership on the application of advanced analytics to business problems. This role currently has two (2) direct reports.

                                                          -

                                                          -

                                                          The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a hands-on mentality and passion for leveraging data to drive business outcomes.

                                                          -

                                                          -

                                                          What will you do?

                                                          +

                                                          Inclusiveness

                                                          +

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          ",,https://jobs.td.com/en-CA/jobs/11028518/adoption-data-analytics-reporting-co-op-intern-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2020-06-01T16:13:00.000Z,False,0,7,24,https://talenthub.vectorinstitute.ai/jobs/34834068-adoption-data-analytics-reporting-co-op-intern-at-td-bank-group,,expired,2020-05-21T13:25:00.000Z,admin,Enterprise (500+),,Financial Services,Internship/Co-op,No Degree,New Posting, +88f1b152-30e2-4e98-991f-ba3d449fc633,35248514,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2020-06-02T20:32:27.059Z,"

                                                          Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                          +

                                                          Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                          +

                                                          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                          +

                                                          Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                          +

                                                          As a machine learning scientist, you will

                                                            -
                                                          • Hire and lead a team of data scientists to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                                          • -
                                                          • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                                          • -
                                                          • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                                          • -
                                                          • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                                          • -
                                                          • Coach and grow a high-performing team of data scientists with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                                          • +
                                                          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                          • +
                                                          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                          • +
                                                          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                          • +
                                                          • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                          -

                                                          -

                                                          What do you need to succeed?

                                                          +

                                                          Required Qualifications

                                                            -
                                                          • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                                          • -
                                                          • 6+ years of industry experience with 4+ years leading data science projects with hands-on experience building and deploying statistical / machine learning models

                                                          • -
                                                          • 3+ years experience in managing a team of data scientists

                                                          • -
                                                          • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                                          • -
                                                          • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                                          • +
                                                          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                          • +
                                                          • Strong background in machine learning
                                                          • +
                                                          • 5+ years of research experience with publication record
                                                          • +
                                                          • Proven track record of applying machine learning to solve real-world problems
                                                          -

                                                          -

                                                          What will be nice to have?

                                                          +

                                                          Preferred Qualifications

                                                            -
                                                          • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                                          • -
                                                          • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                                          • -
                                                          • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                                          • -
                                                          • Experience with data analytics and data visualization best practices

                                                          • +
                                                          • Experience with deep learning and/or collaborative filtering
                                                          • +
                                                          • Hands on experience in software systems development and SaaS applications
                                                          • +
                                                          • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                          • +
                                                          • Experience using GPUs for accelerated deep learning training
                                                          • +
                                                          • Familiarity with AWS
                                                          -

                                                          -

                                                          What’s in it for you?

                                                          +

                                                          Benefits

                                                            -
                                                          • Competitive salary and bonus structure influenced by market range data

                                                          • -
                                                          • 20 days vacation per year and an innovative sabbatical program

                                                          • -
                                                          • A friendly, collaborative and inclusive culture in a hybrid, remote environment

                                                          • -
                                                          • Being part of our Analytics community, where we share best practices and broaden skill sets

                                                          • -
                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                          • -
                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                          • -
                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                          • +
                                                          • Entrepreneurial and inclusive culture
                                                          • +
                                                          • Excellent health coverage
                                                          • +
                                                          • Four weeks paid vacation
                                                          • +
                                                          • Catered lunches twice a week over machine learning talks
                                                          • +
                                                          • Opportunities to collaborate with faculty at the Vector Institute
                                                          • +
                                                          ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-07-02T20:32:00.000Z,False,2,0,113,https://talenthub.vectorinstitute.ai/jobs/35248514-machine-learning-scientist-at-layer-6,,expired,2020-06-02T20:32:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, +2599a43a-45a3-4b08-ae5b-d8479ee2f041,35495211,Manulife,Data Engineer,on_site,"Waterloo, ON, Canada",2020-06-08T16:49:07.696Z,"

                                                          Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                          +

                                                          +

                                                          Job Description

                                                          +

                                                          +

                                                          We’re looking for someone who knows data: big data (but not necessarily “Big Data”), little data, clean data, messy data and all sorts of data in between. You’ve seen a little bit of everything and you enjoy working with it.

                                                          +

                                                          +

                                                          That’s not to say this is an analytics role, though. We’re not looking primarily for someone with experience analyzing or modeling data (though that wouldn’t be a bad thing to bring to the table) as much as someone with experience moving it around, tidying it up and pulling it all together so that people can make use of it. We have data spread all over the place and in all sorts of different formats, and we want you to help us do something about that.

                                                          +

                                                          +

                                                          Maybe you’ve worked as a Database Architect, a DBA, a Developer or an ETL Designer. In fact, bonus points to you if you’re able to check off more than one of those boxes. What’s most important, though, is that you’re willing and able to help us design, implement and populate data models that make it possible for us to get our most important data into a single location and into a consistent format. Come help us evolve in a data-driven powerhouse!

                                                          +

                                                          +

                                                          What Will I Be Doing?

                                                          +
                                                            +
                                                          • You will become a key part of the life cycle of our data
                                                          • +
                                                          • You will become a Manulife data expert; you will know where our data is, how it moves around and who is using it
                                                          • +
                                                          • You will help with (and eventually lead) the design, development and implementation of new data processes, models and flows
                                                          • +
                                                          • You will work with business partners and subject matter experts to understand the context of our data; not just how it’s structured, but how real people use it (or should not use it) to make informed decisions
                                                          • +
                                                          • You will soon know better than anyone what sorts of headaches the users of our data may have and will be instrumental in brainstorming solutions to help make their lives better
                                                          • +
                                                          • You will be involved in many different things: today you might be doing some quick coding to generate a bunch of sample data, tomorrow you might be building data flows in Apache NiFi, building stored procedures for an SQL Server database, participating in a Proof of Technology session or locked in a room with a small “tiger team” tasked with solving an issue that’s just flared up
                                                          -

                                                          -

                                                          -

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          -

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          -

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          -

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          -

                                                          -

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          -

                                                          -

                                                          Salary Range:

                                                          104,000/104 000 - 171,700/171 700

                                                          -

                                                          Job Category:

                                                          Advanced Analytics

                                                          -

                                                          Posting End Date:

                                                          13/03/2022
                                                          -
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-03-24T21:25:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/116275769-director-data-science-machine-learning-at-sun-life-financial,,expired,2022-03-23T07:03:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -ed3ee475-51bf-48ad-9e35-09b733abc5fd,110110431,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2022-02-22T02:42:06.220Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Multiple Locations, Canada
                                                          All Available Locations: 15993; 15952; 15956; 15975; 15978; 15997

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Be empowered to lead and have impact with clients, our communities and in the office

                                                          -
                                                          -
                                                          -

                                                          -

                                                          Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                                          -
                                                          -
                                                          -

                                                          What will your typical day look like?

                                                          -
                                                          -

                                                          As a Senior Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                                          -

                                                          In this role, you will :

                                                          -
                                                          • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                                          • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                                          • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                                          • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                                          • -
                                                          -
                                                          -
                                                          -
                                                          -

                                                          About the team

                                                          -
                                                          -

                                                          Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Enough about us, let’s talk about you

                                                          -
                                                          -

                                                          You are someone with:

                                                          -
                                                          • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                                          • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                                          • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                          • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                                          • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                                          • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                                          • Master of Business Administration or Masters of Management in Analytics is preferred
                                                          • -
                                                          -


                                                          If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                                          -

                                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Why Deloitte?

                                                          -

                                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                          -
                                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                          • -
                                                          -


                                                          The next step is yours

                                                          -

                                                          Sound like The One Firm. For You?

                                                          -

                                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                          -

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                          -

                                                          -

                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/844885300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-24T20:57:56.791Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/110110431-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/844885300/,expired,2022-02-22T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -958a1eab-290d-4c85-9951-4681e9b6e86a,110387147,TELUS,Machine Learning and Artificial Intelligence Architect,on_site,"Ontario, Canada",2022-02-24T07:33:11.096Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -

                                                          -

                                                          Join our team

                                                          -


                                                          The Network Architecture and Convergence is a newly created, innovative team that is also responsible for cross-domain network architecture development covering cloud orchestration, network slicing, automation and assurance, data analytics and network exposure with holistic architecture alignment; in addition to wireless/wireline convergence covering access, network, policy, subscriber data, provisioning and charging. With the fast evolving 5G ecosystem driven by rapid technological, regulatory, and customer demand changes, the level of uncertainty and complexity of this transformation is increasing. Still, the opportunities are greater today than ever before for industry players like TELUS. We are embracing disruption, reimagining network services capabilities, and driving growth by leveraging the latest technologies

                                                          -

                                                          -

                                                          Here’s the impact you’ll make and what we’ll accomplish together

                                                          -


                                                          You are a machine learning and artificial intelligence solution architect who prides yourself on leading digital transformation by introducing latest technology of artificial intelligence and machine learning models. You truly believe in the adoption of IT and cloud orchestration and automation, and data analytics to drive intelligent network operation that enables the efficient and creative growth of wireless and wireline networks, while reducing costs. Finally, your passion and initiative in translating and applying your learnings in wireless and wireline communication networks will propel TELUS’ digital transformation.

                                                          -

                                                          -

                                                          Here’s how

                                                          -


                                                          • You will lead the cross domain ML/AI enabler architecture, strategy, design, and align with automation, 5G network slicing, cloud, and 5G network
                                                          • You will develop/design ML/AI reference architecture framework applied to Radio, core, transport, service and cloud (hyper scaler) domains, to enable truly artificial intelligent network with machine learning capability
                                                          • Through collaboration with multiple teams, you will drive innovation in automation, artificial intelligence, and big data analytics
                                                          • Create business cases to secure necessary capital for overall ML/AI reference architecture
                                                          • You will work with other senior architects in order to identify the existing gaps in the network to get fully automated network with predicative model by Lead the iterative development, validation, and deployment of AI/ML models
                                                          • You will develop and analyze RFP’s to introduce new platforms and system to get fully automated network
                                                          • You will manage the vendor relationship once established on behalf of TELUS
                                                          • You will develop the ML/AI enabler roadmap with the collaboration with other teams
                                                          • You will plan, execute and report on strategic trials in the lab with collaboration with other teams across TELUS

                                                          -

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Qualifications

                                                          -
                                                          -

                                                          -

                                                          -

                                                          You’re the missing piece of the puzzle

                                                          -

                                                          -

                                                          • Machine learning open source frame work (PyTorch, JAX and NumPy,TensorFlow, Scikit-learn, Pandas etc.)
                                                          • Experience with Big Data & Analytics tools such as Kafka, Kinesis, Hadoop, Big Query, DataFlow, Pub/Sub, etc
                                                          • 5+ years of relevant IT Architecture experience, advanced technical and analytical skills, and the ability to take responsibility for the overall technical direction of the project
                                                          • Knowledgeable in one or more development/scripting languages and orchestration/API tools (Java, YAML, Shell, Json, Python, Keras etc.)
                                                          • Advanced knowledge in SQL and Apache Spark
                                                          • Well versed in software and AI development lifecycles, including ML Ops
                                                          • Knowledge of 5G network protocols and experience with network management are pluses especially 3GPP standard (NWDAF and MDAF)
                                                          • Expert knowledge of the software project lifecycle—from concept through design to implementation and test.
                                                          • Proven track record of leading data analytics, 5G SA and automation projects
                                                          • Creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
                                                          • Ability to manage key deliverables as part of an extended project team
                                                          • Strong communication and interpersonal skills, with an ability to translate complex technical concepts to non-technical audiences
                                                          • A Bachelor degree in Computer Science, Information Systems or related field, Master’s preferred

                                                          Great-to-haves

                                                          -

                                                          -

                                                          • 5+ years of telecommunications experience
                                                          • Multi- or Hybrid-cloud architectures
                                                          • Architecture and design experience with Google Cloud Platform (GCP)/OpenShift Container Platform (OCP)/Amazon Web Services (AWS) and/or Azure products
                                                          • Experience with containerization tools such as Docker, Kubernetes, and/or OpenStack technology and networking (CNI, Calico, Multus, VxLAN, vSwitch etc
                                                          • Skilled in Continuous Integration and Continuous Delivery (CI/CD) tools, i.e. Spinnaker, Jenkins, GitHub Actions, GCP Cloud Build, Jupyter etc

                                                          -

                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Scarborough-E2E-Data-Analytics-Architect-ON/551407117/,feed-importer@jobboard.io,,,,2022-03-26T16:41:44.952Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/110387147-machine-learning-and-artificial-intelligence-architect-at-telus,,expired,2022-02-24T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -188fdfab-33c4-442c-8cc7-e86ea7eca342,110355375,Deloitte,"Data Scientist, Omnia AI, Ottawa",on_site,"Ottawa, Ontario, Canada",2022-02-24T02:42:05.831Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Ottawa, Ontario, Canada
                                                          All Available Locations: 15978

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Be encouraged to deepen your technical skills…whatever those may be.
                                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                                          -
                                                          -
                                                          -

                                                          -

                                                          Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                          -
                                                          -
                                                          -

                                                          What will your typical day look like?

                                                          -

                                                          As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                          -
                                                          -
                                                          -

                                                          About the team

                                                          -

                                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -
                                                          -
                                                          -

                                                          Enough about us, let’s talk about you

                                                          -
                                                          -

                                                          You are someone with:
                                                          • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                          • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                          • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                          • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                          • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                          • Strong experience with Machine Learning Project management experience is an asset
                                                          • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                          • Enthusiastic about solving complex problems with a variety of analytical tools
                                                          • Professional services, consulting, or advisory experience is an asset
                                                          • Strong oral and written communication skills
                                                          • Interest in continuing to develop analytical and business development skills
                                                          • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                          • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                          -

                                                          Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Why Deloitte?

                                                          -

                                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                          -
                                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                          • -
                                                          -


                                                          The next step is yours

                                                          -

                                                          Sound like The One Firm. For You?

                                                          -

                                                          At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                          -

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                          -

                                                          -

                                                          Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Ottawa-Data-Scientist%2C-Omnia-AI%2C-Ottawa-ON-K1P-5T8/835327200/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-26T16:36:57.154Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/110355375-data-scientist-omnia-ai-ottawa-at-deloitte,https://careers.deloitte.ca/job/Ottawa-Data-Scientist%2C-Omnia-AI%2C-Ottawa-ON-K1P-5T8/835327200/,expired,2022-02-24T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -6c9c9af5-7f2d-4572-94d4-784302616c19,110807329,BMO Financial Group,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-02-25T19:05:23.320Z,"

                                                          Address:

                                                          -

                                                          55 Bloor Street West

                                                          -

                                                          -

                                                          Job Family Group:

                                                          -

                                                          Data Analytics & Reporting

                                                          +

                                                          Does that sound a little vague? Good, because life is a little vague and so are the best jobs. We can’t guarantee you’ll be using a specific set of tools or techniques day to day because this isn’t that kind of job. You’ll need to be self-motivated, resilient and comfortable with uncertainty. You’ll have to learn on your feet from time to time, and occasionally even teach others as you’re learning. No one is going to ask you to be an expert in something you’ve never done before, but you’ll need to be the kind of person who gets excited about becoming an expert in something they’ve never done before. Show us what you’re capable of and learn a lot along the way!

                                                          +

                                                          Qualifications

                                                          +

                                                          This isn’t a junior role, so we’re looking for someone with at least 3-5 years of related work experience. You should have specific experience in some of these areas and the willingness to be trained (and to some extent train yourself) in any areas you’re lacking:

                                                          +
                                                            +
                                                          • Databases: traditional or NoSQL - designing/modeling, administering, writing complex queries/stored procedures
                                                          • +
                                                          • Coding/scripting (not necessarily as a Developer) – Java, C#, Python
                                                          • +
                                                          • ETL/ELT/Data integration – SSIS, PowerCenter, Sqoop, NiFi, Kafka, Storm
                                                          • +
                                                          • Various SLDC methods (i.e. agile, iterative, waterfall, etc.)
                                                          • +

                                                          +

                                                          Bonus points for any experience with: DevOps or Continuous Delivery tools and processes, cloud (IaaS/PaaS), data profiling and analysis, and/or Hortonworks Data Platform / DataFlow.

                                                          +

                                                          Am I Right for the Job?

                                                          +

                                                          We're looking for a passionate, motivated individual to join our team. Experience with any or all the tools and technologies mentioned is a huge plus, but don't let one or more of those list items deter you! If you're excited by this posting, we want to hear from you!

                                                          -

                                                          Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                          +

                                                          What about Perks?

                                                          +

                                                          Manulife has lots of perks including, but not limited to:

                                                            -
                                                          • Influences and negotiates to achieve business objectives.
                                                          • -
                                                          • Identifies emerging issues and trends to inform decision-making.
                                                          • -
                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                          • -
                                                          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                          • -
                                                          • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                                          • -
                                                          • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                                          • -
                                                          • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                          • -
                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                          • -
                                                          • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                                          • -
                                                          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                          • -
                                                          • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                                          • -
                                                          • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                                          • -
                                                          • Acts as the prime subject matter expert for internal/external stakeholders.
                                                          • -
                                                          • Identifies/creates the appropriate algorithm to discover patterns.
                                                          • -
                                                          • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                                          • -
                                                          • Oversees the development and delivery of tools and training for data and analytics.
                                                          • -
                                                          • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                          • -
                                                          • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                          • -
                                                          • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                          • -
                                                          • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                          • -
                                                          • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                          • -
                                                          • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                                          • -
                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                          • -
                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                          • -
                                                          • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                          • -
                                                          • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                          • -
                                                          • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                          • -
                                                          • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                          • -
                                                          • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                          • -
                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                          • -
                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                          • -
                                                          • Uses the appropriate algorithms to discover patterns.
                                                          • -
                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                          • -
                                                          • Supports development of tools and delivers training for data analytics and AI.
                                                          • -
                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                          • -
                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                          • -
                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                          • -
                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                          • -
                                                          • Implements changes in response to shifting trends.
                                                          • -
                                                          • Broader work or accountabilities may be assigned as needed.

                                                            Qualifications:

                                                            -
                                                          • -
                                                          • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                          • -
                                                          • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                                          • -
                                                          • In depth experience using machine learning algorithms.
                                                          • -
                                                          • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                          • -
                                                          • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                          • -
                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                          • -
                                                          • Verbal & written communication skills - In-depth / Expert.
                                                          • -
                                                          • Analytical and problem solving skills - In-depth / Expert.
                                                          • -
                                                          • Influence skills - In-depth / Expert.
                                                          • -
                                                          • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                          • -
                                                          • Able to manage ambiguity.
                                                          • -
                                                          • Data driven decision making - In-depth / Expert.
                                                          • +
                                                          • Competitive compensation
                                                          • +
                                                          • Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
                                                          • +
                                                          • Manulife Share Ownership Program with employer matching
                                                          • +
                                                          • Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
                                                          • +
                                                          • Financial support for ongoing training, learning, and education
                                                          • +
                                                          • Monthly Innovation Days (Hackathons)
                                                          • +
                                                          • Wearing jeans to work every day
                                                          • +
                                                          • An abundance of career paths and opportunities to advance
                                                          • +
                                                          • A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements

                                                          +

                                                          This is a permanent full time role based in our Toronto, Ontario office.

                                                          -

                                                          We’re here to help

                                                          -

                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                          -

                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                          +


                                                          If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                          +


                                                          About Manulife

                                                          +

                                                          Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                          +



                                                          +

                                                          Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                          ",,https://jobs.manulife.com/ShowJob/JobId/914199/DataEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-06-29T14:36:00.000Z,False,0,4,56,https://talenthub.vectorinstitute.ai/jobs/35495211-data-engineer-at-manulife,,expired,2020-06-08T16:49:00.000Z,admin,Enterprise (500+),,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +0555a230-20da-4e40-936a-2098f2e3f51c,35749332,Vector Institute,Industry Innovation Coordinator,on_site,"Toronto, ON, Canada",2020-06-18T19:46:19.276Z,"

                                                          Position Summary:

                                                          -

                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                          +

                                                          Reporting to the Executive Director of Applied AI Programs, the Industry Innovation Coordinator will provide coordination support for a team that provides programs and services to help industry partners scale their AI capabilities to compete in the global economy.

                                                          +

                                                          +

                                                          Key Responsibilities:

                                                          -

                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                          -

                                                          EXPLORE LOCATION

                                                          ",,https://jobs.bmo.com/ca/en/job/R220004747/Senior-Data-Scientist,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2022-03-27T19:05:00.000Z,False,0,3,63,https://talenthub.vectorinstitute.ai/jobs/110807329-senior-data-scientist-at-bmo-financial-group,,expired,2022-02-25T19:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -98761455-96ee-4c5a-a2ea-dcea7e16f85f,117046025,CIBC,"Sr. Consultant, Business Analytics",on_site,"Ontario, Canada",2022-03-28T10:10:03.101Z,"
                                                          -
                                                          -
                                                          -

                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                          -

                                                          -

                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                          -

                                                          -

                                                          To learn more about CIBC, please visit CIBC.com

                                                          -

                                                          -

                                                          Job Description

                                                          -

                                                          -

                                                          What you’ll be doing

                                                          -

                                                          -

                                                          Reporting to the Senior Director, Business Intelligence, the Senior Consultant, Business Analytics and Insights will support with research, business analysis and dashboard automation. You will directly be accountable for providing business requirements on dashboards to the technology team and execute in a fast paced environment. You will be conducting competitive analysis across the direct investing platforms and identify gaps and opportunities. You will be providing analysis on clients and product insights to the senior management. This role requires a strong background in research, data analysis and data driven decision making skills.

                                                          -

                                                          -

                                                          How you’ll succeed

                                                            -
                                                          • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.

                                                          • -
                                                          • Monitors and tracks dashboard performance, user acceptance testing, and addresses any issues.

                                                          • -
                                                          • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                                          • -
                                                          • Designs and produces regular and ad-hoc reports, and dashboards.

                                                          • -
                                                          • Work with technology to builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                                          • -
                                                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                          • -
                                                          • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                          • -
                                                          • Focus is primarily on business/group within Direct Investing & Advise; may have broader, enterprise-wide focus.

                                                          • -
                                                          • Perform financial modeling on pricing scenarios.

                                                          • -
                                                          • Package presentation for senior leadership consumption on client analytics and insights.

                                                          • +
                                                          • Provide scheduling and executive support for the Chief Commercialization Officer & VP, Industry Innovation;
                                                          • +
                                                          • Provide scheduling support for the Executive Director, Applied AI Programs;
                                                          • +
                                                          • Ensure customer relationship management system entries are updated on a weekly basis;
                                                          • +
                                                          • Ensure effective internal industry innovation team meetings by developing agendas, recording and tracking action items;
                                                          • +
                                                          • Maintain an electronic shared drive and records management system;
                                                          • +
                                                          • Oversee the Industry Innovation section of Vector’s intranet site;
                                                          • +
                                                          • Provide support drafting business cases, contracts and other documents as required;
                                                          • +
                                                          • Track progress and provided regular updates on the industry innovation team implementation plan and metrics;
                                                          • +
                                                          • Ensure correspondence and invitations are replied to within Vector’s customer service standard;
                                                          • +
                                                          • Ensure efficient and effective communication and workflow with other workstreams (e.g. health, research, communications, operations, CEOs office); and,
                                                          • +
                                                          • Perform other related duties and responsibilities as determined by the Executive Director of Applied Programs.
                                                          -

                                                          -

                                                          Who you are

                                                          +

                                                          +

                                                          Profile of the Ideal Candidate:

                                                          +

                                                            -
                                                          • You have 3-5 years of relevant experience as data scientist, data engineer, software engineer, business intelligence engineer, or equivalent experiences from statistics, computer science, mathematics, data science, finance/accounting background.

                                                          • -
                                                          • You have knowledge and experience in data preparation, data mining, data analysis, and statistical tool sets including but not limited to Spotfire, SQL, SAS, ETL, Power BI - In-depth. Tableau, R, Python, MATLAB. You developed standardized reporting strategy or framework, capturing end user requirements to execution and deployment. You bring expertise in building/ operating highly available, distributed systems of data extractions, ingestion and processing of large data sets. You have advanced-level proficiency in writing complex, highly optimized SQL queries across large datasets. And data modeling, data warehousing, and building ETL pipelines.

                                                          • -
                                                          • You bring deep knowledge and financial analysis proficiency gained through extensive education and business experience.

                                                          • -
                                                          • Your influence makes a difference. You know that relationships and networks are essential to success. You have the ability to influence and execute results with your data driven decision making skills.

                                                          • -
                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                          • +
                                                          • You have a university or college degree
                                                          • +
                                                          • You are either currently in, or have previously been in, an administrative role in a fast-paced, growth-oriented organization where you are frequently called on to resolve multiple problems in a timely manner, sometimes without formal procedures
                                                          • +
                                                          • You are proficient in Microsoft Office, Customer Relationship Management software (e.g., Insightly), and the Google Suite of services
                                                          • +
                                                          • You are technically savvy and can master new software easily
                                                          • +
                                                          • You are interested in experimenting with AI-based applications, to learn how they can increase the efficiency of Vector’s administrative processes
                                                          • +
                                                          • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven;
                                                          • +
                                                          • You have excellent verbal and written English communication skills
                                                          • +
                                                          • You have strong time management and organizational skills
                                                          • +
                                                          • You are comfortable working with a diverse range of clients (e.g., leadership teams, operations staff, graduate students, and external partners), maintaining confidentiality and providing all with a trusted, respectful point of contact
                                                          • +
                                                          • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture
                                                          • +
                                                          • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem
                                                          -

                                                          -

                                                          What CIBC offers

                                                          -

                                                          -

                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                          +

                                                          +

                                                          Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Generalist, using the link provided. Review of applications will begin June 24, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                          +

                                                          +

                                                          The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                          +

                                                          +

                                                          Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                          +

                                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=80&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-06-29T14:37:00.000Z,False,0,11,56,https://talenthub.vectorinstitute.ai/jobs/35749332-industry-innovation-coordinator-at-vector-institute,,expired,2020-06-18T19:46:00.000Z,admin,Scaling (20-499),,Education,Entry Level,Bachelors Degree,New Posting, +d2aa29ab-d243-49f1-90ea-07bab82b4f5d,36049336,Sun Life Financial,SQL Client DBA,on_site,"North York, Toronto, ON, Canada",2020-06-29T17:50:28.401Z,"

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Job Description:

                                                          +

                                                          +

                                                          Role Summary

                                                          +

                                                          +

                                                          The candidate will be a member of the SQL Server Client team within Data Management Services (DMS). The primary role on the team will be as a SQL Server Database Administrator supporting various client applications, but the individual may be asked to take on additional duties including infrastructure support and training on various emerging technologies related to Business Intelligence and Big Data solutions.

                                                          +

                                                          +

                                                          The team has members in Canada, the US and India supporting a wide range of distributed and mainframe applications across many continents. The core hours for this position are 08:00 – 16:30 but are flexible within a range as long as there is proper coverage within the team. All team members must have the ability to handle 7X24 rotational on-call duties, after hour change support and disaster recovery support (will require cell phone, laptop and guaranteed coverage from home).

                                                          +

                                                          +

                                                          What will you do?

                                                            -
                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                          • -
                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                          • -
                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                          • +
                                                          • Administrative support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: Database Engine, Integration Services (DTS, SSIS), Analysis Services (SSAS) and Reporting Services (SSRS)
                                                          • +
                                                          • Infrastructure support of SQL Server versions 2005, 2008, 2012, 2014 and 2016 including: server/instance installs (stand-alone and clustered), service-pack upgrades, hot fixes, client tool installs, readiness programs, new feature exploitation, research and development (as needed by Infrastructure manager)
                                                          • +
                                                          • Support of application and database upgrades from existing SQL versions to, SQL2012, SQL2014, SQL2016 and future supported releases
                                                          • +
                                                          • Pro-active and reactive performance analysis, monitoring, troubleshooting and resolution of issues
                                                          • +
                                                          • Migration of database objects from development through production following documented standards, policies and procedures (Change Management Process)
                                                          • +
                                                          • Monitoring and support of nightly production batch cycles
                                                          • +
                                                          • Organizing and monitoring personal workload and escalating to manager when issues arise
                                                          • +
                                                          • Regular review of database maintenance and performance improvement procedures
                                                          • +
                                                          • Ensuring the proper setup and validation of backup and restore processes
                                                          • +
                                                          • Participation in a rotational on-call schedule
                                                          • +
                                                          • Occasional participation in after-hours and weekend support of production implementations, infrastructure activities, and various disaster recovery exercises
                                                          • +
                                                          • Regular database capacity planning related to database growth and system utilization; trend analysis
                                                          • +
                                                          • Working closely with other team members, technical/team leads, management, specialized IT areas and application support teams to ensure consistent delivery and quality of database services
                                                          • +
                                                          • Helping define, document and implement consistent standards and procedures across the team
                                                          • +
                                                          • Support of PowerShell, Ansible, T-SQL stored procedures and functions to support internal processes and improve system performance
                                                          • +
                                                          • Maintaining up-to-date documentation and procedures for all supported applications and environments
                                                          • +
                                                          • Managing medium to large projects and participating in a variety of projects through the entire project lifecycle
                                                          • +
                                                          • Maintaining 99.99% availability for all production environments
                                                          • +
                                                          • Assisting clients with various issues related to connectivity, permissions, access
                                                          • +
                                                          • Evaluation of functionality and features with newer versions of the SQL Server DBMS
                                                          • +
                                                          • Sharing ideas for process improvement and innovative solutions to known problems
                                                          -

                                                          -

                                                          What you need to know

                                                          +

                                                          +

                                                          What will you need to succeed?

                                                            -
                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                          • -
                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                          • -
                                                          • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                          • +
                                                          • BE / B Tech /MCA / M Tech / Proven administration/analyst skills preferably with a degree in Computer Science or related technology degree/diploma, or equivalent experience
                                                          • +
                                                          • 3 to 5 years of SQL Server database administration experience handling medium to large databases
                                                          • +
                                                          • Excellent verbal and written communication skills
                                                          • +
                                                          • Experience with the Microsoft BI stack
                                                          • +
                                                          • Experience with on-call support and trouble-shooting
                                                          • +
                                                          • Strong T-SQL skills that include a thorough understanding of system tables, stored procedures, functions, triggers, and SQL tuning
                                                          • +
                                                          • SQL Server 2008, 2012, 2014 or 2016 certification (optional)
                                                          • +
                                                          • Hands-on experience with SQL Server installations and patching
                                                          • +
                                                          • Strong knowledge of SQL Server database tuning using Profiler, Index Tuning Wizard, Dynamic Management Views and Functions (DMVs), and other third-party tools
                                                          • +
                                                          • Strong knowledge of SQL Server Management Studio and Business Intelligence Development Studio
                                                          • +
                                                          • Strong knowledge of SQL Server database backup and recovery strategies
                                                          • +
                                                          • Strong knowledge of SQL Server replication, mirroring, log shipping, maintenance plans and DR recovery strategies
                                                          • +
                                                          • Experience with Sybase Power Designer
                                                          • +
                                                          • Experience with Redgate SQL Backup tools
                                                          • +
                                                          • Knowledge of data-mapping and logical and physical data modeling
                                                          • +
                                                          • Strong organizational skills with the ability to handle several tasks efficiently
                                                          • +
                                                          • Being part of our journey in developing the next greatest digital experience
                                                          -

                                                          -

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Job Location

                                                          Toronto-22 Front St., 2nd

                                                          Employment Type

                                                          Regular

                                                          -

                                                          Weekly Hours

                                                          37.5

                                                          Skills

                                                          -

                                                          -
                                                          -
                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineering_2205464-1,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-04-04T10:50:13.613Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/117046025-sr-consultant-business-analytics-at-cibc,,expired,2022-03-28T10:10:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -5661822a-e436-468b-91be-d9766ceea4e9,113998004,Deloitte,"Data Engineer - Azure, Omnia AI",on_site,"Ontario, Canada",2022-03-11T02:43:03.423Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Multiple Locations, Canada
                                                          All Available Locations: 15993; 15975; 15978; 15997

                                                          -
                                                          -

                                                          -

                                                          Our Purpose

                                                          -

                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                          -

                                                          By living our Purpose, we will make an impact that matters.

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                          Be encouraged to deepen your technical skills…whatever those may be.
                                                          Build your leadership skills at Deloitte University.
                                                          Have many careers in one Firm.
                                                          Partner with clients to solve their most complex problems
                                                          Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                          Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                          Experience a firm where wellness matters.
                                                          Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                          Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                          Build a network of colleagues for life
                                                          Have an impact that matters through pro bono and significant volunteer opportunities.
                                                          Be empowered to lead and have impact with clients, our communities and in the office.
                                                          Be expected to share your ideas and to make them a reality.
                                                          Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                          Grow your network and your knowledge by joining one of our many Employee Resource Groups.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          -

                                                          You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                          -
                                                          -
                                                          -

                                                          What will your typical day look like?

                                                          -
                                                          -

                                                          As a Data Engineer in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, you are tech savvy and have a solid understanding of software development.

                                                          -

                                                          Specifically, in this role, you will:
                                                          • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                          • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                          • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                          • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                          • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                          -
                                                          -
                                                          -
                                                          -

                                                          About the team

                                                          -
                                                          -

                                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Enough about us, let’s talk about you

                                                          -
                                                          -

                                                          You are someone with:
                                                          • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                          • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                          • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Azure Cloud using Azure Data Factory, Azure Functions, and Python.
                                                          • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using data storage knowledge of SQL Server, Cosmos DB, and Data Lakes.
                                                          • Experience with implementation of BI platforms such as Databricks and Azure analysis services
                                                          • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                          -

                                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          -

                                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Our shared values

                                                          -

                                                          While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                          -

                                                          They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                          -

                                                          Every day, we live our Purpose through the following five shared values:

                                                          -
                                                          • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                          • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                          • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                          • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                          • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                          • -
                                                          -

                                                          [Not to be removed or modified – this is firm standard]

                                                          The next step is yours

                                                          -

                                                          Sound like The One Firm. For You? Apply by [insert date].

                                                          -

                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                          -

                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                          -

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-04-05T02:48:33.248Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/113998004-data-engineer-azure-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,expired,2022-03-11T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -94285f95-68f7-4df3-bee1-e2481383ed52,112566467,TELUS,AI Product Manager,on_site,"Ontario, Canada",2022-03-06T07:33:11.774Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -

                                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                          -

                                                          -

                                                          The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                          -

                                                          -

                                                          Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                          -

                                                          -

                                                          Here’s the impact you’ll make and what we’ll accomplish together

                                                          -


                                                          This is a senior role in the team where you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.
                                                          As an AI Product Manager and Strategist, you will combine your expert knowledge of AI/Analytics with your strong business acumen to facilitate the development of world-class insight products.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Here\'s How

                                                          -
                                                            -
                                                          • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                          • -
                                                          • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                          • -
                                                          • Play the critical role of “translator” i.e. translating business problems into data problems.
                                                          • -
                                                          • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                          • -
                                                          • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                          • -
                                                          • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                          • -
                                                          • You\'re the missing piece of the puzzle
                                                          • -
                                                          • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                          • -
                                                          • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                          • -
                                                          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                          • -
                                                          • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
                                                          • -
                                                          • You are well versed in software and AI development lifecycles, including ML Ops.
                                                          • -
                                                          • You are agile and have a bias for action, removing roadblocks to get results fast
                                                          • -
                                                          -
                                                          -
                                                          -

                                                          Great to Haves

                                                          -
                                                          -

                                                          +

                                                          +

                                                          Unique Requirements

                                                          +

                                                          +

                                                          The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                                                          +

                                                          +

                                                          What's in it for you?

                                                            -
                                                          • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                          • -
                                                          • Experience with agile methodology and work in a start-up environment
                                                          • -
                                                          • GCP or other cloud certifications
                                                          • -
                                                          • Experience in Management Consulting
                                                          • -
                                                          • Product Management/Ownership, Scrum Master
                                                          • -
                                                          -


                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON/556216117/,feed-importer@jobboard.io,,,,2022-04-06T17:26:53.763Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/112566467-ai-product-manager-at-telus,,expired,2022-03-06T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, -c8d99071-83c6-46ab-9cad-2a64abab51bc,114035998,Scotiabank,Data Engineer (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-03-11T05:06:06.476Z,"

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Requisition ID: 144824

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          -

                                                          -

                                                          The Team

                                                          -

                                                          Data Engineering Team under Canadian Banking Technology (CBT) Data Services Organization is 25+ team members in Canada, Colombia and India which are responsible for data Engineering, ingestion, transformation and delivery between Canadian Banking source applications and Enterprise data lake (EDL), Enterprise Data Warehouse and Global Data & Analytics Platform.

                                                          -

                                                          -

                                                          The role:

                                                          -

                                                          Data Engineer is expected to design, develop, test, implement and production support of data ingestion, transformation, and extraction to and from Big Data Platforms across the bank using tools and technologies including but not limited to Talend, NPIF, iWay, Hadoop, Spark, Python, Scala, Autosys, Tidal, Airflow and shell scripting.

                                                          -

                                                          Incumbent is expected to have 7+ years of overall IT experience and 5+ years of practical hands on experience in the field of data integration, engineering and analytics plus have excellent verbal and written English communication skills and work closely with data engineers, project leads, data & solution architects, data analysts and production support across globe in an agile environment.

                                                          -

                                                          -

                                                          Where could you work? Both at home and in the office.

                                                          -

                                                          We’re focused on being an employer of choice for the communities we serve and offering a hybrid work environment for top Tech talent in Canada’s capital city. 
                                                          We’re creating a local ScotiaTech Hub in Ottawa. You’ll have the opportunity both to work remotely and head to the Ottawa office for in-person moments that foster team cohesiveness and collaboration.

                                                          -

                                                          -

                                                          Is this role right for you?

                                                          -
                                                          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                          • Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
                                                          • Contribute to data ingestion, transformation and extraction solutions in Enterprise big data platform (EDL) and Global Data and Analytics Platform
                                                          • Contribute to data and project design and delivery for some of highly visible and critical projects across bank
                                                          • Contribute to translating architecture or design into both logical and physical data models that comply with existing (and evolving) standards and practices.
                                                          • Hands on development supporting Data integration, Analytics and Cloud environments.
                                                          • Work with the Bank’s data governance program
                                                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                          • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                          • Champions a high-performance environment and contributes to an inclusive work environment.
                                                          • -
                                                          -

                                                          -

                                                          Do you have the skills that will enable you to succeed in this role?

                                                          -
                                                          • Graduate degree in STEM (science, technology, engineering, mathematics) related discipline is desirable, along with 7+ years of working in IT and 5+ years practical experience in Data Engineering/Integration and Analytics.
                                                          • -
                                                          -
                                                          • 3+ years of experience in working with Hadoop Hive, Apache Sqoop, Apache Spark
                                                          • 3+ years of experience in SQL and ETL Development
                                                          • 2+ years of hands-on experience working with Talend
                                                          • 2+ years of hands-on experience with Python or Java programming.
                                                          • 2+ years of hand on experience with scheduling tools such as Autosys, Tidal, Airflow
                                                          • 2+ years of software development (SDLC) experience in Agile Scrum/Kanban methodology
                                                          • 2+ years of development production support experience is an asset
                                                          • Working experience with DevOps and running Jenkins pipelines
                                                          • Strong communication and presentation skills
                                                          • Excellent understanding of RDBMS concepts (Oracle, SQL Server, DB2)
                                                          • Hands on experience with Unix/Linux Command Line Interface (CLI) and Shell Scripting
                                                          • Experience with code repository, version control and code promotion tools such as Git/bitbucket and Jenkins
                                                          • -
                                                          -

                                                          -

                                                          What's in it for you?

                                                          -
                                                          • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                          • We provide you with the tools and technology needed to create beautiful customer experiences
                                                          • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                          • Dress codes don't apply here, being comfortable does
                                                          • Onsite cafeteria
                                                          • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.
                                                          • +
                                                          • Flexible Benefits from the day you join to meet the needs of you and your family
                                                          • +
                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                          • +
                                                          • A ‘dress for the day’ dress code, where you dictate how you dress based on your day
                                                          -

                                                          Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platform.

                                                          -

                                                          -

                                                          #ottawahub 

                                                          -

                                                          -

                                                          Location(s): Canada : Ontario : Ottawa

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Ottawa-Data-Engineer-%28Ottawa-Hub%29-ON/557292917/,feed-importer@jobboard.io,,,,2022-04-08T05:11:07.122Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/114035998-data-engineer-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Data-Engineer-%28Ottawa-Hub%29-ON/557292917/,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -3f7a6121-4c87-4c5b-8b74-4788ff242022,110849835,Borealis AI,DevOps Engineer,on_site,"Ontario, Canada",2022-02-25T21:45:13.643Z,"

                                                          What's the opportunity?

                                                          -

                                                          We’re looking for an experienced Dev/Ops Support Engineer who will bring focus and subject-matter expertise around designing, implementing and supporting machine learning infrastructure and automation tools in production. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                          -

                                                          -

                                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                          -

                                                          Your responsibilities include:

                                                          -
                                                            -
                                                          • Providing production support and maintenance for ML applications;
                                                          • -
                                                          • Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications;
                                                          • -
                                                          • Collaborating with engineers, and machine learning researchers to automate code analysis, build, integration and deployment of ML applications;
                                                          • -
                                                          • Supporting applications and projects with infrastructure design decisions, and monitoring solutions;
                                                          • -
                                                          • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;;
                                                          • -
                                                          • Providing after-hours production support.
                                                          • -
                                                          -

                                                          You're our ideal candidate if you have:

                                                          -
                                                            -
                                                          • Strong experience with Site Reliability Engineering, DevOps and production support;
                                                          • -
                                                          • Strong and relevant experience supporting and maintaining distributed systems;
                                                          • -
                                                          • Hands-on experience building and deploying virtualized environments in major cloud environments, such as Kubernetes, AWS and Azure;
                                                          • -
                                                          • Experience with building tools and applications to automate various infrastructure tasks (Jenkins, etc.);
                                                          • -
                                                          • Proficiency with programming languages such as Python, Bash, or JavaScript;
                                                          • -
                                                          • Experience implementing monitoring solutions to identify system bottlenecks and production issues;
                                                          • -
                                                          • Solid understanding of the UNIX operating system.
                                                          • -
                                                          -

                                                          It would be great if you also have:

                                                          -
                                                            -
                                                          • Knowledge of the machine learning application deployment process;
                                                          • -
                                                          • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
                                                          • -
                                                          • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                          • -
                                                          -

                                                          What's in it for you?

                                                          -
                                                            -
                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                          • -
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                          • -
                                                          • Leaders who support your development through coaching and managing opportunities;
                                                          • -
                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                          • -
                                                          -

                                                          About Borealis AI

                                                          -

                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                          -

                                                          Inclusion and Equal Opportunity Employment

                                                          -

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          -

                                                          ",,https://www.borealisai.com/en/careers/employment/5651256002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-09T14:09:34.820Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/110849835-devops-engineer-at-borealis-ai,,expired,2022-02-25T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -828787f0-5a0f-4718-9c6a-74368fadea59,119896689,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-04-11T21:02:11.158Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -

                                                          -

                                                          Department Overview

                                                          -

                                                          The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                          +

                                                          When a new position becomes available which matches your background and experience, the base pay range will be disclosed and correspond to the opportunity Sun Life will consider you for.

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                          -

                                                          As a Data Scientist, Cyber-Fraud, you will:

                                                          -
                                                            -
                                                          • -All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                              -
                                                            • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                            • -
                                                            • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                            • -
                                                            -
                                                          • -
                                                          • -Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                              -
                                                            • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                            • -
                                                            • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                            • -
                                                            • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                            • -
                                                            -
                                                          • -
                                                          • -Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                              -
                                                            • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                            • -
                                                            • Conduct cyber investigations and digital forensics as required
                                                            • -
                                                            -
                                                          • -
                                                          • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                          • -
                                                          -
                                                            -
                                                          • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                          • -
                                                          • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                          • -
                                                          • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                          • -
                                                          -
                                                          • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                                          -
                                                          +

                                                          In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          Requirements

                                                          -
                                                          -
                                                          • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                          -
                                                            -
                                                          • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                          • -
                                                          • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                          • -
                                                          • Information security certification/accreditation or analytics certifications an asset
                                                          • -
                                                          • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                          • -
                                                          -
                                                          +

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          +

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/SQL-Client-DBA_JR00032258?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-07-13T14:35:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/36049336-sql-client-dba-at-sun-life-financial,,expired,2020-06-29T17:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f1d5f3b3-3799-4bfe-b34a-7c983905ff91,36127938,Borealis AI,Machine Learning Research Winter Internship ☑️,on_site,"Toronto, ON, Canada",2020-07-02T22:05:04.232Z,"

                                                          About Borealis AI

                                                          +

                                                          Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has approximately 100 team-members acrossits four labs in Canada.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-02T21:09:09.367Z,False,0,3,34,https://talenthub.vectorinstitute.ai/jobs/119896689-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -87966a48-95a8-4b4c-a985-db145f76ec75,122858477,Scotiabank,Senior Data Engineer - Tech Lead,on_site,Canada : Ontario : Toronto,2022-04-29T05:06:13.077Z,"

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Requisition ID: 141456

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          -

                                                          -

                                                          Purpose:

                                                          -


                                                          The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                          -


                                                          The role of the Senior Product Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will act as the tech lead for one of our most pivotal product offerings and lead a team of other engineers to deliver impact and value. This role is focused on creating transformative change in how our organization interacts with data and metadata.

                                                          -


                                                          The Universal Catalog product, powered by Collibra, is a central part of the Scotiabank Data Strategy and directly enables the creation of a connected data ecosystem driving the globalization of data. It serves as a key enablement vehicle for automation as well as providing the understanding and trust in our data as a product. This role will be instrumental in helping mature both the service integration and user experience with the Universal Catalog
                                                          We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                          -

                                                          -


                                                          Key Accountabilities:

                                                          -


                                                          • Lead a high-functioning Product Engineering Team!
                                                          • Design, manage, and maintain services and user experiences to enable enterprise-wide use of data and metadata
                                                          • Drive the vision of the product forward with the Product Ownership and Stakeholders
                                                          • Be an evangelist and drive adoption of Universal Catalog as a product
                                                          • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                                          • Participate in design discussions focused on scalability and design and implementation best practices.
                                                          • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                                          • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                          • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                          • Support and maintain a successful product

                                                          -

                                                          -


                                                          Functional Competencies:

                                                          -


                                                          • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                                          • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                                          • 3+ years of experience leading and managing software development teams
                                                          • Proven experience designing service and microservice based architectures
                                                          • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                                          • Clear understanding of UX design principles
                                                          • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                                          • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                                          • Functional experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                                          • Functional experience working with relational databases (DB2, MySQL, PostgreSQL).
                                                          • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                          • Experience with enterprise-grade Data Catalogs (Collibra, Alation, etc) would be an asset
                                                          • Knowledge and understanding of analytics & data science life cycle
                                                          • Experience in Agile/Product/Architecture.
                                                          • Experience in Cloud Data Solutions would be an asset
                                                          • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                                          • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                                          • Strong communication skills, both written and spoken
                                                          • Attention to details, high standards for quality.
                                                          • Desire to learn, grow yourself and your team.
                                                          • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                          • Writing and maintaining related documentation.
                                                          • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                          • Helps recruit + groom technology leaders and future leaders.
                                                          Accountabilities

                                                          -

                                                          -

                                                          Education/Experiences:

                                                          -


                                                          Bachelor (equivalent or higher) degree in computer science or engineering/mathematics discipline

                                                          -

                                                          -

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Engineer-Universal-Catalog-ON-M5C2V9/556287817/,feed-importer@jobboard.io,,,,2022-05-03T05:11:10.051Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122858477-senior-data-engineer-tech-lead-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Engineer-Universal-Catalog-ON-M5C2V9/556287817/,expired,2022-04-29T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -75631033-a64f-4f3b-828b-ec9f39cf945d,120269991,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.664Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -


                                                          Ready to create innovative solutions and best practices?

                                                          -

                                                          -

                                                          Join our team

                                                          -

                                                          -

                                                          The AI Data & Analytics team consists of Analysts, Data Scientists, Data Engineers, Strategy Managers, and Program Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies.

                                                          -

                                                          -

                                                          We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

                                                          -

                                                          -

                                                          Our team enjoy a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

                                                          -

                                                          -

                                                          Here’s the impact you’ll make and what we’ll accomplish together

                                                          -

                                                          -

                                                          As an experienced professional in the field of data science, you will be part of the journey that brings us to a better understanding of our customers in order to predict their needs and interaction behaviour.

                                                          -

                                                          -

                                                          With a natural curiosity to experiment, and expert knowledge of AI & ML concepts, you’ll perform hypothesis validation and develop models through an iterative approach in order to predict customer demand.

                                                          -

                                                          -

                                                          You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

                                                          -

                                                          Here\'s how

                                                          -

                                                          -
                                                            -
                                                          • Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                                          • -
                                                          • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices, and emerging tools/technology
                                                          • -
                                                          • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                                          • -
                                                          • Build and maintain a interlock with key stakeholders to understand business needs and priorities
                                                          • -
                                                          • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                          • -
                                                          • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                          • -
                                                          -

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Qualifications

                                                          -
                                                          -

                                                          -

                                                          You\'re the missing piece of the puzzle

                                                          -

                                                          -
                                                            -
                                                          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                          • -
                                                          • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                          • -
                                                          • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                          • -
                                                          • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                          • -
                                                          • Proficiency with SQL
                                                          • -
                                                          • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                          • -
                                                          • Well versed in software development lifecycle and ML Ops concepts
                                                          • -
                                                          -

                                                          -

                                                          Great-to-haves

                                                          -

                                                          -
                                                            -
                                                          • Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                          • -
                                                          • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                          • -
                                                          • Data environments experience: MS SQL, Oracle
                                                          • -
                                                          • Experience using Google Workspace
                                                          • -
                                                          • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                          • -
                                                          -

                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Barrie-Data-Scientist-ON/557884517/,feed-importer@jobboard.io,,,,2022-05-02T07:40:12.969Z,False,0,8,54,https://talenthub.vectorinstitute.ai/jobs/120269991-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -9b28983f-bc53-4214-a4b0-905daef12a56,117447377,Thomson Reuters,"Lead Software Engineer, ML, Python",on_site,"Ontario, Canada",2022-03-31T13:31:07.034Z,"
                                                          -
                                                          -

                                                          Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Labs in Toronto is seeking an experienced Lead Software Engineer with a passion for solving problems with code - using technologies like Java, Python, Cloud Computing, Machine Learning and Natural Language Processing (NLP).

                                                          +

                                                          Borealis AI offers research internships across labs. Interns support research on a wide variety of theoretical and applied machine learning projects. Working in our labs will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                          -

                                                          What does Thomson Reuters Labs do? We support the organization and our customers through applied research and development to solve their most difficult problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components. While, Thomson Reuters is most famous for the Reuters News agency, we are one also one of the only very few companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                          +

                                                          Internship opportunities are available in the following areas:
                                                          - Deep Learning
                                                          - Reinforcement Learning
                                                          - Graphs and Optimization
                                                          - Unsupervised and Semi-supervised Learning
                                                          - Bayesian Optimization
                                                          - Privacy and Fairness
                                                          - Interpretability and Explainability
                                                          - AutoML
                                                          - Time Series Forecasting
                                                          - Natural Language Processing
                                                          - Computer Vision

                                                          -

                                                          As an experienced Lead Software Engineer, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, we have consistently delivered high growth product features that delight our customers and advance the state of the art.

                                                          +

                                                          You’re our ideal candidate if you have:
                                                          - Ability to implement state-of-the-art machine learning techniques
                                                          - High motivation to solve challenging research problems
                                                          - Passion for data, algorithms, and statistics
                                                          - Experience working towards a PhD or already hold a MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                          - Previous publications at a top-tier AI conference
                                                          - Experience with writing modular, robust, scalable software in Python
                                                          - Familiarity with the Unix command line and bash scripting
                                                          - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                          - A deep understanding of machine learning algorithms and/or statistical modeling

                                                          -

                                                          About the Role

                                                          -

                                                          In this opportunity as a Lead Software Engineer, you will:

                                                          -
                                                            -
                                                          • -Be a Leader: Lead a small team of developers to deliver AI features and algorithms.
                                                          • -
                                                          • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                          • -
                                                          • -Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                          • -
                                                          • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                          • -
                                                          • -Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                          • -
                                                          • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                          • -
                                                          • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                          • -
                                                          +

                                                          Internship duration: 4 months (January – April. 2021).
                                                          Application deadline:
                                                          August 14, 2020.

                                                          Inclusion and Equal Opportunity Employment

                                                          +

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          ",mi.research@borealisai.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2020-08-15T22:05:00.000Z,False,20,0,931,https://talenthub.vectorinstitute.ai/jobs/36127938-machine-learning-research-winter-internship-at-borealis-ai,,expired,2020-07-02T22:05:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Financial Services,Internship/Co-op,Masters Degree,New Posting, +c21628eb-f711-4412-8070-f415f91577b6,36845239,BenchSci,Senior Software Engineer - Data Run,on_site,"Toronto, ON, Canada",2020-07-13T15:32:11.862Z,"

                                                          BenchSci exponentially increases the speed and quality of life-saving research by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime and Google’s AI fund, Gradient Ventures, BenchSci uses machine learning to diagnose pharmaceutical R&D health from hidden patterns in procurement data. A turnkey application of AI with immediate, quantifiable impact, BenchSci now optimizes reagent procurement and experimental success in 15 of the top 20 pharmaceutical companies and over 4,300 leading academic centers globally.

                                                          We are currently seeking a Senior Software Engineer to join our Data Run Team. As part of the job, you will work on expanding our ability to analyze millions of scientific journals and other data sources to extract valuable scientific insights.

                                                          -

                                                          About You

                                                          -

                                                          You\'re a fit for the role of Lead Software Engineer if you:

                                                          -
                                                            -
                                                          • Have experience leading a technical team in the development of system or subsystems
                                                          • -
                                                          • Can “think in code” and have a deep understanding of the Python and/or Java software development stacks and ecosystems
                                                          • -
                                                          • Are familiar with cloud-native applications in AWS or Azure (or a similar cloud platform)
                                                          • -
                                                          • Are proficient in system analysis and design
                                                          • -
                                                          • Have experience working in an agile environment
                                                          • -
                                                          • Are curious, comfortable with rapid change and always learning new things
                                                          • -
                                                          • Have a desire to positively impact the world around them and someone who isn\'t afraid to dive right in, is comfortable working at a fast pace, embraces change, and can creatively pivot when needed
                                                          • -
                                                          • Have a desire to work with Machine Learning and NLP
                                                          • -
                                                          • BS degree or foreign equivalent in Computer Science or related field with 5+ years of professional software development experience
                                                          • -
                                                          +

                                                          What you’ll do:

                                                          +
                                                              +
                                                            • Collaborate with life scientists and machine learning engineers on how to capture and model additional scientific experiments
                                                            • +
                                                            • Expand the types of biological reagents and experiments that we search for in our mining
                                                            • +
                                                            • Apply state-of-the-art data processing engines to rapidly process our data sets
                                                            • +
                                                            • Collaborate closely with other engineers to solve interesting and challenging data problems
                                                            • +
                                                          +

                                                          What we’re looking for:

                                                          +
                                                              +
                                                            • 8+ years working as a professional developer
                                                            • +
                                                            • A strong grasp of distributed systems and data processing fundamentals
                                                            • +
                                                            • A strong background in data structures and information retrieval algorithms
                                                            • +
                                                            • Expertise in Python and programming fundamentals
                                                            • +
                                                            • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                            • +
                                                            • Expertise in RDBMS and NoSQL
                                                            • +
                                                            • You have strong cross-team communication and collaboration skills
                                                            • +
                                                            • A team player who strives to see teammates succeed together
                                                            • +
                                                          +

                                                          Bonus points for:

                                                          +
                                                              +
                                                            • Background in Life Science
                                                            • +
                                                            • Experience with Kubernetes in production
                                                            • +
                                                            • Experience with data processing engines such as Spark or Beam
                                                            • +
                                                          +

                                                          Here at BenchSci, these are our core values: Focused: We focus on what will drive the greatest impact at all times.Advancement: We believe in continuous growth, and discovering new ways to do things better. This applies to our product and business, but also to ourselves.Speed: We recognize that without a sense of urgency, our team, our product and our mission lose their value.Tenacity: What we’re trying to do isn’t easy, but we hire the best people, and give them the autonomy, tools, and resources to succeed. The hard work is up to them.Transparency: We believe that sharing diverse ideas and information creates strong teams. Our success stems from research, collaboration, feedback, and trust. BenchSci is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. All four of our cofounders are immigrants to Canada, as are many of our employees. We welcome your fresh perspectives and ideas.

                                                          ",,https://jobs.lever.co/benchsci/589e936f-a0ba-4c3c-bc04-10e962f5ce52?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,aimasters@vectorinstitute.ai,,,,2020-08-13T13:09:55.388Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/36845239-senior-software-engineer-data-run-at-benchsci,,expired,2020-07-13T15:32:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +56de7556-cc15-4bb8-8984-eac72112762c,37099369,Deep Genomics,Scientist – Machine Learning,on_site,"Toronto, ON, Canada",2020-07-20T14:31:51.871Z,"

                                                          About Us

                                                          Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.

                                                          +

                                                          Ideal Candidate

                                                          We are seeking a creative and experienced machine learning scientist to decipher how mutations and genetic medicines influence the molecular world of the cell. The successful candidate will develop machine learning approaches for modeling complex RNA- and protein-level outcomes based on massively parallel assays. The ideal candidate has a proven track record of publishing at top machine learning conferences (NIPS, ICML, ICLR) or has applied deep learning to genomics in a top life sciences journal.

                                                          -

                                                          What\'s in it For You

                                                          -

                                                          At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                          -
                                                            -
                                                          • -Benefits: Hybrid work environment (in-office & home), contribution to health insurance and free use of in-house gym, employee stock purchase plan.
                                                          • -
                                                          • -Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                          • -
                                                          • -Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                          • -
                                                          • -Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                          • -
                                                          • -Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
                                                          • -
                                                          +

                                                          Requirements/Qualifications

                                                          +
                                                              +
                                                            • MSc (Junior Scientist) or PhD (Senior Scientist) trained in machine learning.
                                                            • +
                                                            • Extensive practical experience at systematically designing, training, debugging, and evaluating neural networks using modern frameworks such as Tensorflow, PyTorch, or Theano.
                                                            • +
                                                            • Excellent scientific writing and presentation skills.
                                                            • +
                                                            • Senior Scientists must demonstrate leadership and ability to introduce new machine learning techniques.
                                                            • +
                                                          +

                                                          What we offer:

                                                          +
                                                              +
                                                            • A chance to develop machine learning techniques that will save human lives.
                                                            • +
                                                            • Inspiring, creative, and fast-moving startup work environment in downtown Toronto
                                                            • +
                                                            • Competitive compensation package including stock options
                                                            • +
                                                          +

                                                          Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                          Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                                                          ",,https://jobs.lever.co/deepgenomics/3160c2c8-0414-457a-891d-c41b54c80dfe,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2020-08-19T15:24:54.103Z,False,0,24,154,https://talenthub.vectorinstitute.ai/jobs/37099369-scientist-machine-learning-at-deep-genomics,,expired,2020-07-20T14:31:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Associate,Masters Degree,Re-Posting an Expired Job, +04cc1f59-8665-429c-887f-c444707066c2,37099708,Sun Life Financial,Senior Tableau Specialist,on_site,"North York, Toronto, ON, Canada",2020-07-20T17:38:10.002Z,"

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          +

                                                          Job Description:

                                                          +

                                                          Role Summary:

                                                          -

                                                          As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

                                                          -

                                                          By clicking on ""Apply"", the process for submitting an application will begin. If you have any questions prior to clicking ""Apply"", please contact the recruiter.

                                                          -
                                                          +

                                                          As a member of the Data Management Services team, the Senior Tableau Specialist role plays integral part in the planning and delivery leadership for the new technology enablement and Technology renewal projects. This role is accountable for the technology acquisition, proof of technology, implementation and upgrade of a wide range of Data and Business Intelligence Technologies. This position also plays an integral role in vendor management.

                                                          -

                                                          Canada COVID-19 Vaccination Requirement

                                                          +

                                                          This role will be accountable to initiate, plan, build and lead project members to deliver technology infrastructures and transition to Operations.

                                                          -

                                                          Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                          +

                                                          This role reports to the Practice Manager and accountable to the Director, Data and Business Intelligence Technologies

                                                          -

                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                          -

                                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                          +

                                                          What will you do?

                                                          +
                                                            +
                                                          • Owns technology implementation and delivery. Ensure projects are delivered on time , on budget and with required quality
                                                          • +
                                                          • Accountable for project intake and estimation
                                                          • +
                                                          • Work closely with the Architect and the Director, DBIS Technologies during the concept phase of project to define project delivery approach, methodology
                                                          • +
                                                          • Accountable for the technical leadership from project initiation to implementation. Ensures all technical requirements are defined and chosen technologies meet both business and technical requirements.
                                                          • +
                                                          • Ensure technologies delivered meets performance, reliability, recoverability requirements
                                                          • +
                                                          • Ensures that standard and best practice for project and program management processes are applied to plan, and execute initiatives with high complexity and risk
                                                          • +
                                                          • Lead and guide technical resources and serve as an escalation point for delivery issues
                                                          • +
                                                          • Handles vendor engagement, contracts and management
                                                          • +
                                                          +
                                                            +
                                                          • Creates/Enhances technology evaluation methodology and implementation processes, in concert with CMMI framework
                                                          • +
                                                          • Successful transition of new technologies to operation
                                                          • +
                                                          • Effectively coach/counsel others and provide feedback to improve performance
                                                          • +

                                                          -

                                                          Accessibility

                                                          +

                                                          What will you need to succeed?

                                                          +
                                                            +
                                                          • Excellent interpersonal relations and demonstrated ability to work with management, peers, suppliers, clients and staff effectively.
                                                          • +
                                                          • Ability to communicate openly and effectively with staff, management, clients, suppliers and vendors at all levels.
                                                          • +
                                                          • Leadership and management skills to guide a team through change and challenges.
                                                          • +
                                                          • Client service skills including desire to exceed client expectations while remaining committed to organizational objectives.
                                                          • +
                                                          +
                                                            +
                                                          • Vendor negotiation and management capabilities
                                                          • +
                                                          • Mixture of strong business acumen, data and business analytics technologies and project delivery skills.
                                                          • +
                                                          • Ability to thrive in an environment of high stress, pressing deadlines and changing conditions.
                                                          • +
                                                          • Accomplish all goals and objectives while reflecting core values of honesty, integrity and fairness.
                                                          • +

                                                          -

                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                          +

                                                          Technical Requirements and experience:

                                                          -

                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                          +
                                                            +
                                                          • Atleast 5 years strong technology experience specializing in Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data.
                                                          • +
                                                          • 2-4 years experience in Tableau software architecture, deployment and content development
                                                          • +
                                                          • Experience with Sun Life organization and technology infrastructure, policy, process and procedures
                                                          • +
                                                          • Experience in delivering new technology selection, delivery and technology renewal projects
                                                          • +
                                                          • Experience in working with vendors, external consultants, internal technology suppliers in matrix organization
                                                          • +
                                                          • Experience in technology evaluation methodology and ability to lead technical requirement
                                                          • +

                                                          -

                                                          Protect yourself from fraudulent job postings click here to know more.

                                                          +

                                                          What's in it for you?

                                                          +
                                                            +
                                                          • Flexible Benefits from the day you join to meet the needs of you and your family
                                                          • +
                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                          • +
                                                          • A ‘dress for the day’ dress code, where you dictate how you dress based on your day
                                                          • +

                                                          -

                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                          -
                                                          ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-05-04T15:15:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/117447377-lead-software-engineer-ml-python-at-thomson-reuters,,expired,2022-03-31T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -e9195456-ba43-49c1-a3e3-39bc30bc4102,117568786,Borealis AI,Machine Learning Researcher Fall Internship,temporary,"Toronto, ON, Canada",2022-03-31T22:47:16.365Z,"

                                                          About Borealis AI

                                                          -

                                                          Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its fourlabs in Canada.

                                                          +

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          Our internships are currently running virtually. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                          +

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          Internship opportunities are available in the following areas:
                                                          - Deep Learning
                                                          - Reinforcement Learning
                                                          - Graphs and Optimization
                                                          - Unsupervised and Semi-supervised Learning
                                                          - Bayesian Optimization
                                                          - Privacy and Fairness
                                                          - Interpretability and Explainability
                                                          - AutoML
                                                          - Time Series Forecasting
                                                          - Natural Language Processing
                                                          - Computer Vision

                                                          +

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          You’re our ideal candidate if you have:
                                                          - Ability to implement state-of-the-art machine learning techniques
                                                          - High motivation to solve challenging research problems
                                                          - Passion for data, algorithms, and statistics
                                                          - Experience working towards a PhD or already hold an MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                          - Previous publications at a top-tier AI conference
                                                          - Experience with writing modular, robust, scalable software in Python
                                                          - Familiarity with the Unix command line and bash scripting
                                                          - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                          - A deep understanding of machine learning algorithms and/or statistical modeling

                                                          -


                                                          -

                                                          Internship duration: 4 months (September - December 2022)

                                                          -

                                                          Application deadline: May 8, 2022

                                                          +

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Senior-Tableau-Specialist_JR00032458?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-08-05T15:22:00.000Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/37099708-senior-tableau-specialist-at-sun-life-financial,,expired,2020-07-20T17:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +031dcd16-cc7e-4227-b956-86e3a26ee8f2,37329616,Sun Life Financial,Junior Data Scientist,on_site,"Waterloo, ON, Canada",2020-07-27T19:54:51.381Z,"

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          How to apply:
                                                          Complete the online application and submit your resume at: https://www.borealisai.com/en/...

                                                          -

                                                          For any questions and enquiries, please contact: mi.research@borealisai.com

                                                          -

                                                          Inclusion and Equal Opportunity Statement:
                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          ",,https://www.borealisai.com/en/careers/internships/borealis-ai-internships/,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-04T15:22:00.000Z,False,0,15,180,https://talenthub.vectorinstitute.ai/jobs/117568786-machine-learning-researcher-fall-internship-at-borealis-ai,,expired,2022-03-31T22:47:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, -4638525c-b65f-473f-aa83-0b4be68e931f,121511088,Bell Canada,"Analyst, Business Intelligence",on_site,"Ontario, Canada",2022-04-20T21:09:38.779Z,"

                                                          Req Id: 341351

                                                          +

                                                          Job Description:

                                                          -

                                                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                          +

                                                          Role Summary

                                                          -

                                                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                          -

                                                          Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                          +

                                                          This role will lead analytics initiatives within the Insurance Solutions Market Development team, with particular emphasis on analysis that will inform product design, client engagement and profitability.

                                                          As a data analyst, you will be part of a large analytics community and will be focused within the Individual Insurance business responsible for data science, data flows, visualization, machine learning and business intelligence.

                                                          Within SLF Canada, Individual Insurance is one of the largest business units. Individual Insurance accounts for approximately 20% of worldwide earnings in the overall Sun Life Financial group of companies, and over 40% of Canadian earnings. We manufacture and distribute leading-edge life insurance and health insurance products and solutions for over two million individual customers.

                                                          +

                                                          What will you do?

                                                          -

                                                          The Field Services Workforce Management is responsible for forecasting load and capacity for all provisioning and assurance markets in Ontario, Quebec and Atlantic. This includes residential and business markets for all technicians (Bell, Bell Technical Solutions and Contractor). The Business intelligence analyst tasks includes developing forecasting models for work load, analysis of capacity & workforce productivity to build strategic recommendations to manage operations. The successful candidate must have proven mathematical skills – including a strong statistical background, an open-minded approach to problem solving and a drive to achieve superior results.

                                                          -

                                                          -

                                                          Job Duties/Accountabilities:

                                                            -
                                                          • Develop forecasting models to predict work load of residential markets
                                                          • -
                                                          • Understand key drivers for load variations & their impacts on time per job
                                                          • -
                                                          • Collaborate with other teams to improve calendar management by developing automated algorithms to better match force to load
                                                          • -
                                                          • Workforce management modeling : force-to-load analysis, supply/demand modeling, optimization of workforce resources
                                                          • -
                                                          • Develop recommendations and implement new processes, systems or tool to support business needs, as required
                                                          • +
                                                          • A self starter with demonstrated success in using analytics to drive innovation with experience in guiding initiatives with our business partners
                                                          • +
                                                          • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
                                                          • +
                                                          • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
                                                          • +
                                                          • Collaborate with IT partners and other Data Science teams within the Canadian business to build out the data environment and analytics work platforms
                                                          • +
                                                          • Develop standard operational performance metrics, reporting and data analytics to support dashboard level management metrics
                                                          • +
                                                          • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area.
                                                          • +
                                                          • Proactively engage other leaders on business solution development for knowledge sharing, input and best practices.

                                                          -

                                                          Critical Qualifications/Competencies:
                                                          Technical Skills:

                                                          +

                                                          What will you need to succeed?

                                                            -
                                                          • Forecasting methods (time-series, regressions), Mathematical modeling & statistical analysis
                                                          • -
                                                          • Database base knowledge & ability to extract/manipulate data
                                                          • -
                                                          • Advanced Excel (pivot tables, charts, conditional formatting, Analysis toolpak, etc.)
                                                          • -
                                                          • Power Point
                                                          • -
                                                          • Problem-solving
                                                          • -
                                                          • Excellent verbal and written communication
                                                          • +
                                                          • Critical thinking
                                                          • +
                                                          • SQL/R/Python programming
                                                          • +
                                                          • Data visualization through Tableau
                                                          • +
                                                          • Predictive modelling/machine learning

                                                          -

                                                          Management Skills:

                                                          +

                                                          Qualifications

                                                            -
                                                          • Strong leadership skills with risk-management
                                                          • -
                                                          • Strong sense of initiative and ability to prioritize
                                                          • -
                                                          • Ability to adapt and work in a fast paced environment with good tolerance to ambiguity
                                                          • -
                                                          • Able to Establish & maintain effective relationships with various operational teams, IT & fiancé to understand key drivers impacting the organization & implement solutions
                                                          • -
                                                          • Comfortable in working in virtual environments (i.e. conference calls, videoconference)
                                                          • -
                                                          • Understanding of business needs/input, customer focus
                                                          • -
                                                          • Autonomous and self-motivated
                                                          • +
                                                          • Education background in math/computer science/statistics/financial engineering/data analytics
                                                          • +
                                                          • 2+ years of quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports
                                                          • +
                                                          • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and multiple business units.
                                                          • +
                                                          • Communication (verbal and written) and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics
                                                          • +
                                                          • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                          -

                                                          Preferred Qualifications/Competencies:

                                                          +

                                                          What is in it for you?

                                                            -
                                                          • University graduate within relevant field
                                                          • -
                                                          • Knowledge of forecasting/scheduling models
                                                          • -
                                                          • Knowledge of forecasting software Eviews, Stata, SAS, Forecast Pro
                                                          • -
                                                          • Knowledge of operational research/mathematical programming software
                                                          • -
                                                          • Field Services or Call centre operations expertise
                                                          • -
                                                          • 2 years of experience within similar management functions
                                                          • -
                                                          • Change management skills
                                                          • +
                                                          • Competitive salary and bonus structure influenced by market range data
                                                          • +
                                                          • Flexible benefits, Pension, stock and savings programs and 3 weeks vacation
                                                          • +
                                                          • A friendly, collaborative and inclusive culture
                                                          • +
                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                          -

                                                          #EmployeeReferralProgram #ProgrammeRecommandationEmployes

                                                          -

                                                          #Talent #Indeed #Tech #Technology #Forecasting #FieldService #CallCentre #Stata #SAS #ForecastingPro #ChangeManagement #WorkforceManagement #Management

                                                          -

                                                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                          +

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          Additional Information:

                                                          -

                                                          Position Type: Management
                                                          Job Status: Regular - Full Time
                                                          Job Location: Canada : Quebec : Montreal || Canada : New Brunswick : Fredericton || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Verdun

                                                          -

                                                          Flexible work profile: Mobile
                                                          Application Deadline: 05/02/2022

                                                          +

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                          +

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                          +

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Junior-Data-Scientist_JR00032941?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-07-31T19:02:00.000Z,False,0,22,70,https://talenthub.vectorinstitute.ai/jobs/37329616-junior-data-scientist-at-sun-life-financial,,expired,2020-07-27T19:54:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +81bc6dd1-1808-4263-a96f-2b31707c0cdb,37638727,Sun Life Financial,DevOps Automation Specialist,on_site,"North York, Toronto, ON, Canada",2020-08-05T13:41:05.570Z,"

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                          -

                                                          Created: Canada, QC, Montreal

                                                          +

                                                          Job Description:

                                                          -

                                                          Bell, one of Canada's Top 100 Employers.

                                                          ",,https://jobs.bell.ca/ca/en/job/BECACA341351EXTERNALENCA/Analyst%2C%20Business%20Intelligence,aitalent@vectorinstitute.ai,https://jobs.bell.ca/ca/en,,,2022-05-05T20:53:00.000Z,False,0,4,50,https://talenthub.vectorinstitute.ai/jobs/121511088-analyst-business-intelligence-at-bell-canada,,expired,2022-04-20T21:09:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -3ef26d0a-8ce8-42ff-b8fa-214fb74c3a55,122472589,TD Bank Group,Business Insights Analyst,on_site,"London, ON",2022-04-25T21:03:57.455Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          +

                                                          While our DevOps team is based on Toronto/NorthYork, your work location is flexible. Do you prefer instead to work remotely from the K-W area? Ottawa? Montreal? Other Ontario/Quebec locations? Let’s discuss.

                                                          -

                                                          Department Overview

                                                          -
                                                          -

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                          -

                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          -
                                                          +

                                                          Our teams are dedicated to providing the services and technology our business partners need to help customers achieve lifetime financial security. Through innovation and collaboration, we're striving to continually find new and better ways to bring value to Sun Life. Enterprise Services has employees in Canada, Ireland, the U.S. and Asia. We partner closely with groups and individuals throughout Sun Life Financial to provide products and services that deliver business value.

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          -

                                                          About this Role

                                                          -

                                                          With a burgeoning career in data and analytics, this role is a great fit if you’re ready to take your growing expertise, key insights, knowledge transfer skills and mentorship to the next level. Day-to day, you’ll collect data and information to be developed into analytical interpretation and key action items multi-functional business partners across the organization. You’ll produce your own set of insights and action items that will inform business decisions enterprise wide and help to tackle the increasingly complex business problems they face. And as you grow into the role, TD will inspire you to share your knowledge with your peers, empowering them to collaborate and bring TD into the future of banking.

                                                          -

                                                          -

                                                          As a Business Insights Analyst, you will:

                                                          +

                                                          The primary purpose of the DevOps Automation Specialist is to work with the Enterprise DevOps team to automate existing manual process and assist in implementing the enterprise DevOps strategy by working closely with subject matter experts (SME) in specific technology areas to identify automation opportunities. S/he will also help govern and coordinate the movement of multiple automation releases through the build, test, and production environments. The automation team and its members ensures the knowledge is in place to efficiently coordinate automation efforts. The role communicates with managers, IT operations, Architects and project managers on a regular basis to help document key release milestones. The automation resource works closely with the DevOps architect and infrastructure architect to implement the enterprise DevOps automation strategy across SLF.

                                                          +

                                                          +

                                                          Preferred skills

                                                            -
                                                          • Apply understanding of respective business strategies to produce relevant data analysis to support business goals and objectives
                                                          • -
                                                          • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                          • -
                                                          • Produce insights and recommend business actions to support business strategy and/or tackle business problems
                                                          • -
                                                          • Work in partnership with various functions to provide day-to-day support and delivery of analytics
                                                          • -
                                                          • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                          • -
                                                          • Execute on data requests accurately and within a timely manner
                                                          • -
                                                          • Represent functional area as an analytics & insights professional and key resource
                                                          • -
                                                          • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                          • -
                                                          • Provides day-to-day support and delivery of analytics
                                                          • -
                                                          • Contribute to the identification of key performance indicators
                                                          • -
                                                          • Experienced professional role providing specialized guidance/assistance to function supported
                                                          • -
                                                          • Focus on short to medium-term non-routine specialized/less complex issues and/or raised matters of concern
                                                          • -
                                                          • Independently perform activities end to end
                                                          • +
                                                          • In-depth experience with Ansible Core and Ansible Tower
                                                          • +
                                                          • Prior use of other CI/CD tools such as Artifactory and BitBucket
                                                          • +
                                                          • Containerization using Docker and Kubernetes
                                                          • +
                                                          • Basic programming in Java
                                                          • +
                                                          • Terraform or Cloud Formation (AWS)
                                                          • +
                                                          • In-depth knowledge of automation for both application and infrastructure deployment
                                                          • +
                                                          • Demonstrated understanding of automation and orchestration across multiple technologies including Linux, Windows, etc.
                                                          • +
                                                          • Hand on experience with common automation and DevOps tools.
                                                          • +
                                                          • Intermediate understanding of Enterprise methodologies, such as ITIL, CMMI, and Software Development Life Cycle (SDLC)
                                                          • +
                                                          • Experience in executing processes using CMMI or ITIL
                                                          • +
                                                          • Strong relationship management and consulting skills which results in proven
                                                            ability to quickly earn the trust of stakeholders
                                                          • +
                                                          • Experience implementing and changing processes
                                                          • +
                                                          • Solid business and technical acumen, with demonstrated agility in learning and ability to become comfortable with unfamiliar businesses areas or technologies
                                                          • +
                                                          • Solid presentation, written and verbal communication skills
                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -What can you bring to TD?

                                                          -

                                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          +

                                                          Qualifications

                                                            -
                                                          • Experience with Power BI, Tableau and SSRS, Excel
                                                          • -
                                                          • Experience with Archer and Audit
                                                          • -
                                                          • Undergraduate degree or technical certificate
                                                          • -
                                                          • Three (3) or more years relevant experience
                                                          • +
                                                          • Possesses a university degree and/or 5+ years relevant work experience
                                                          • +
                                                          • 5-7 years experience in cross functional technology system administration
                                                          • +
                                                          • Excellent understanding of OS, Network, Database and middleware technologies
                                                          • +
                                                          • A minimum of 3-4 years hands on experience using automation tools such as Ansible or Chef
                                                          • +
                                                          • Must have a minimum of 3 years hands-on experience using DevOps tools such as Ansible CDD, Artifactory and Bit Bucket.
                                                          • +
                                                          • A minimum of 2 years of Java programming
                                                          • +
                                                          • 1 to 2 years of Docker and Kubernetes experience
                                                          • +
                                                          • A minimum of 2 years of automation development and management experience
                                                          • +
                                                          • A minimum of 3 years hands-on experience of system and infrastructure administration
                                                          • +
                                                          • A minimum of 3 years working in a SDLC delivery process
                                                          -
                                                          -

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          -

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-05T20:53:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/122472589-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,expired,2022-04-25T21:03:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -22684b2f-1a40-4609-a441-889cb8ae3354,123650760,Deloitte,"Data Scientist, Omnia AI",on_site,"Toronto, ON, Canada",2022-05-02T16:54:37.171Z,"

                                                          Date: Apr 27, 2022

                                                          -

                                                          Location: Toronto, Ontario, Canada

                                                          -

                                                          Company: Deloitte

                                                          -

                                                          Job Type: Permanent
                                                          Primary Location: Toronto, Ontario, Canada
                                                          All Available Locations: Toronto; Ottawa; Vancouver

                                                          -

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Be encouraged to deepen your technical skills…whatever those may be.
                                                          Be empowered to lead and have impact with clients, our communities and in the office.

                                                          -

                                                          -

                                                          Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                          -

                                                          What will your typical day look like?

                                                          -

                                                          As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                          -

                                                          About the team

                                                          -

                                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          -

                                                          Enough about us, let’s talk about you

                                                          -

                                                          You are someone with:
                                                          • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                          • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                          • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                          • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                          • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                          • Strong experience with Machine Learning Project management experience is an asset
                                                          • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                          • Enthusiastic about solving complex problems with a variety of analytical tools
                                                          • Professional services, consulting, or advisory experience is an asset
                                                          • Strong oral and written communication skills
                                                          • Interest in continuing to develop analytical and business development skills
                                                          • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                          • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                          -

                                                          Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                          -

                                                          Why Deloitte?

                                                          -

                                                          Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                          +

                                                          Responsibilities

                                                            -
                                                          • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                          • -
                                                          • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                          • -
                                                          • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                          • +
                                                          • Contribute to the automation of key manual processes and procedure using the standard SLF DevOps tools, processes and standards.
                                                          • +
                                                          • Provide input to the development of the Enterprise DevOps automation Policy, Standards and processes as well as the integrated release schedules and plans for completed automation tasks.
                                                          • +
                                                          • Maintain automation task status data required to create an integrated release schedule for automated processes and procedures Technical Services and Application Services.
                                                          • +
                                                          • As automation and DevOps practices mature in the organization, the number of releases to production will increase. Maintain/govern automated tasks as they move through the build, develop, test, stage and release lifecycle.
                                                          • +
                                                          • Execute on the automation strategy as it relates to the enterprise DevOps strategies.
                                                          • +
                                                          • Ensure governance and alignment across multiple departments.
                                                          • +
                                                          • Facilitate cross-department coordination to identify opportunities for automation of manual tasks or functions.
                                                          • +
                                                          • Ensure all automation playbooks are compliant with SLF security directives and policies
                                                          • +
                                                          • Provide expert level input to the build-out of an enterprise-wide automation release roadmap/calendar in partnership with change management and key stakeholders
                                                          • +
                                                          • Produce metrics, reports and/or dashboards across the automation portfolio to aid in measuring the effectiveness of task, processes and procedure that have been automated
                                                          • +
                                                          • Create automation playbooks and companion documentation as references, to help development and operations understand the logic and contents of the automated tasks
                                                          • +
                                                          • Communicate with individuals involved in the various verticals to:
                                                              +
                                                            • Identify areas of automation and determine effective ways to implement
                                                            • +
                                                            • Update automation release plans to keep rolling 12 month forecast accurate
                                                            • +
                                                            • Educate business and operations SMEs on the use of automation tools, overall integration and seek feedback for improvement
                                                            • +
                                                            • Always operate in strict compliance of security and change management directives
                                                            -


                                                            The next step is yours

                                                            -

                                                            Sound like The One Firm. For You?

                                                            -

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            -

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            -

                                                            -

                                                            Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            -


                                                            Job Segment: Database, Scientific, Oracle, Consulting, Computer Science, Engineering, Technology

                                                            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist%2C-Omnia-AI-ON/878470100/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-05T20:53:00.000Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/123650760-data-scientist-omnia-ai-at-deloitte,,expired,2022-05-02T16:54:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -7e437bf7-453a-4f72-a14a-b4fc10ad5d83,123137873,Air Canada,"Developer, Artificial Intelligence - 28245",on_site,"Location: TORONTO, ON, Canada",2022-05-01T05:06:06.144Z,"
                                                            • Handle software applications development, testing & implementation of projects
                                                            • Develop scalable, high performance, and robust cloud-based web and mobile solutions.
                                                            • Package and support deployment of DevOps agile releases.
                                                            • Develop, refine, and fine-tune applications.
                                                            • Analyzing and resolving technical and applications issues.
                                                            • Apply effective coding practices for error-free timely release
                                                            • Implement new features and optimize existing ones to drive maximum performance.
                                                            • Collaborate with cross-functional teams to solve development constraints and deployment issues
                                                            • Assist in the collection and analysis of requirements and user stories.
                                                            • Prepare reports and documentation on the status, operation, and maintenance of software.
                                                            • Work closely with, and incorporate feedback from other developers, scrum master and product managers.
                                                            • Support the testing and launching efforts of new cloud-based products.
                                                            • +
                                                            -
                                                            • Bachelor's Degree in Computer Science, Computer Engineering or equivalent.
                                                            • 4+ years of software development experience using C#, .NET, Java, and Azure DevOps in an Agile development environment.
                                                            • Substantial web and mobile application development experience
                                                            • Very comfortable developing in an Agile environment, using Git/Azure Devops
                                                            • Continuous Integration / Continuous Delivery/Deployment experience
                                                            • Real-world experience with mission-critical enterprise REST APIs (either as consumer or producer)
                                                            • Strong understanding of cross platform development using PAAS cloud systems.
                                                            • Experience with Web-related technologies including HTML/CSS, JavaScript, Angular, Node.js and React
                                                            • Database / Data Storage experience
                                                            • Comfortable analyzing network traffic using Fiddler/Postman/Wireshark etc.
                                                            • Ability to work effectively under pressure and in rapidly changing environments or uncertain conditions
                                                            • Demonstrates openness and willingness to adapt to new ways of doing things
                                                            • Takes responsibility for the results and actively participates in the future direction of the organization
                                                            • Demonstrates concern for satisfying external and/or internal customers.
                                                            • Focuses on the accomplishment of the team’s and unit’s work; sets challenging goals and meets or exceeds goals
                                                            • Ability and desire to work cooperatively with others on a team in person and/or remotely.
                                                            • Approaches a problem by using a logical, systematic, and sequential approach
                                                            • +

                                                              +

                                                              What’s in it for you?

                                                              +
                                                                +
                                                              • To be part of a dynamic team of professionals in a highly collaborative environment
                                                              • +
                                                              • Opportunity to grow your skills through on the job coaching and formal training
                                                              • +
                                                              • To be part of an innovative culture where continuous improvement is valued and embedded in what we do
                                                              • +
                                                              • Competitive salary and bonus structure influenced by market range data
                                                              • +
                                                              • Pension, stock and savings programs to help build and enhance your future financial security
                                                              • +
                                                              • A common sense dress code, where you dictate how you dress based on your day
                                                              • +
                                                              • The opportunity to move along a variety of career paths with amazing networking potential
                                                              • +
                                                              • Flex hours and periodic work from home options.
                                                              -
                                                              • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                                              • Mandatory Covid-19 Vaccination Required
                                                              • -
                                                              ",,https://careers.aircanada.com/jobs/8662377-developer-artificial-intelligence,feed-importer@jobboard.io,,,,2022-05-06T05:11:13.614Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/123137873-developer-artificial-intelligence-28245-at-air-canada,https://careers.aircanada.com/jobs/8662377-developer-artificial-intelligence,expired,2022-05-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -2066059a-835d-4c38-bc53-e019d59d0ffa,118565867,Borealis AI,Research Engineer,on_site,"Ontario, Canada",2022-04-04T21:45:24.392Z,"

                                                              Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                              -


                                                              We’re looking for an enthusiastic scientists or software developer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                                              -


                                                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                              -

                                                              -
                                                              Your responsibilities include:

                                                              +

                                                              +

                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                              +

                                                              +

                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                              +

                                                              +

                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                              +

                                                              +

                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/DevOps-Automation-Specialist_JR00032831?utm_source=VectorInstitute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-08-25T14:41:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/37638727-devops-automation-specialist-at-sun-life-financial,,expired,2020-08-05T13:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e57888fe-0ac5-4be2-a21a-c37d9a246ce6,37731982,Layer 6,Machine Learning Scientist ☑️,on_site,"Toronto, ON, Canada",2020-08-07T20:24:03.871Z,"

                                                              Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                              +

                                                              Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                              +

                                                              Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                              +

                                                              Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                              +

                                                              As a machine learning scientist, you will

                                                                -
                                                              • Building machine learning-based software solutions;

                                                              • -
                                                              • Collaborating with researchers to prototype machine-learning solutions rapidly;

                                                              • -
                                                              • Conducting comparisons to existing algorithms and baselines;

                                                              • -
                                                              • Reviewing, extending, and optimizing prototype solutions;

                                                              • -
                                                              • Collaborating with the engineering team to integrate algorithms into products;

                                                              • -
                                                              • Developing reusable internal tools to facilitate research prototyping; and

                                                              • -
                                                              • Supporting projects with thorough documentation, design decisions, and capabilities.

                                                              • +
                                                              • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                              • +
                                                              • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                              • +
                                                              • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                              • +
                                                              • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                              -

                                                              You’re our ideal candidate if you have:

                                                              +

                                                              Required Qualifications

                                                                -
                                                              • A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent
                                                              • -
                                                              • 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;
                                                              • -
                                                              • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Julia;
                                                              • -
                                                              • Familiarity with the Unix command line and bash scripting;
                                                              • -
                                                              • Experience in the following areas: deep learning, time series, monte carlo simulations, PDEs, derivative pricing;
                                                              • -
                                                              • Experience with deep learning packages such as PyTorch, Keras, and Tensorflow;
                                                              • -
                                                              • Exposure to distributed computing using CPUs and GPUs;
                                                              • -
                                                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management; and
                                                              • -
                                                              • Strong communication skills and a collaborative attitude.
                                                              • +
                                                              • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                              • +
                                                              • Strong background in machine learning
                                                              • +
                                                              • 5+ years of research experience with publication record
                                                              • +
                                                              • Proven track record of applying machine learning to solve real-world problems
                                                              -

                                                              What’s in it for you?

                                                              +

                                                              Preferred Qualifications

                                                                -
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • -
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • +
                                                              • Experience with deep learning and/or collaborative filtering
                                                              • +
                                                              • Hands on experience in software systems development and SaaS applications
                                                              • +
                                                              • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                              • +
                                                              • Experience using GPUs for accelerated deep learning training
                                                              • +
                                                              • Familiarity with AWS
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                                              ",,https://www.borealisai.com/en/careers/employment/5870624002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-07T13:02:38.487Z,False,0,5,50,https://talenthub.vectorinstitute.ai/jobs/118565867-research-engineer-at-borealis-ai,,expired,2022-04-04T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -e5d19ba2-f5c4-49ab-b262-dd5ae4fbf26c,122841922,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-28T21:04:04.104Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              +

                                                              Benefits

                                                              +
                                                                +
                                                              • Entrepreneurial and inclusive culture
                                                              • +
                                                              • Excellent health coverage
                                                              • +
                                                              • Four weeks paid vacation
                                                              • +
                                                              • Catered lunches twice a week over machine learning talks
                                                              • +
                                                              • Opportunities to collaborate with faculty at the Vector Institute
                                                              • +
                                                              ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-09-06T20:24:00.000Z,False,8,0,230,https://talenthub.vectorinstitute.ai/jobs/37731982-machine-learning-scientist-at-layer-6,,expired,2020-08-07T20:24:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,Re-Posting an Expired Job, +1727568b-9dda-4d6e-900a-72823961c031,37981584,Manulife,Automation & Digitization - Senior Full Stack Engineer,on_site,"Waterloo, ON, Canada",2020-08-10T15:31:47.114Z,"

                                                              Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                              -

                                                              Department Overview

                                                              -
                                                              -

                                                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                              -

                                                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                              -

                                                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                              -
                                                              +

                                                              Job Description

                                                              +

                                                              The Automation and Digitization team is focused on Manulife’s digital transformation to provide our Customers with a more dynamic technology experience. We are looking for an equally dynamic Software Engineer who obsesses about Customers and is passionate about developing amazing technology solutions. We are focused on developing products for our internal Business Unit IT Team’s to enable them to quickly transform to digital and enable automation.

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                              -

                                                              If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                              -

                                                              As a Business Information Management Data Practitioner, you will:

                                                              +

                                                              Automation & Digitization Team, we are:

                                                                -
                                                              • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                              • -
                                                              • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                              • -
                                                              • Engage in business and data requirements to develop complete business solutions
                                                              • -
                                                              • Design and implement complex business data information management frameworks
                                                              • -
                                                              • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                              • -
                                                              • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                              • -
                                                              • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                              • +
                                                              • An agile team that sits right beside our business partners designing amazing Customer solutions that make it easy to work with Manulife
                                                              • +
                                                              • Ready to fail fast trying new ideas that challenge the way we do business
                                                              • +
                                                              • An interesting and competitive cast of characters who are always looking to innovate and find new ways of wowing our Customers
                                                              • +
                                                              • Here to support each other and create a fun and challenging work environment where everyone is engaged and all in on making our Team an awesome group to work with
                                                              -

                                                              -

                                                              Requirements

                                                              -
                                                              -

                                                              Potential Candidates interested in this role should have:

                                                              +

                                                              As a Senior Full Stack Engineer, you will:

                                                                -
                                                              • Undergraduate degree or technical certificate in a relevant field
                                                              • -
                                                              • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                              • -
                                                              • Experience in data programming languages, patterns and design principles
                                                              • -
                                                              • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                              • -
                                                              • Expertise in data storage and movement, including relational and big data
                                                              • -
                                                              • Strong analytical and problem-solving skills
                                                              • -
                                                              • In-depth knowledge of competitor and market trends
                                                              • -
                                                              • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                              • -
                                                              • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                              • -
                                                              • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                              • -
                                                              • Act as a brand champion for our business area / function and TD, both internally and externally
                                                              • +
                                                              • Design, code, unit test and integrate new features and functionality
                                                              • +
                                                              • Apply creative problem solving that bring software designs to life
                                                              • +
                                                              • Build apps, APIs and data solutions to drive projects
                                                              • +
                                                              • Promote agile principles and methodology
                                                              • +
                                                              • Participate in ideation and brainstorming sessions to devise creative and disruptive digital solutions
                                                              • +
                                                              • Perform various investigative ""Spikes"" in order to mitigate technical uncertainty and risk
                                                              • +
                                                              • Assist in the development of automated test harnesses as necessary to ensure delivery of high-quality code
                                                              • +
                                                              • Update progress daily through the tracking tool (Jira) or Kanban board
                                                              • +
                                                              • Complete and ensure completion of any required documentation required e.g. deployment, maintenance, support and business needs
                                                              • +
                                                              • Participate in the weekly Look Ahead meetings to assist the Product Owner to refine the Product Backlog including providing initial estimates
                                                              • +
                                                              • Apply disciplined coding practices to enable agility and delivery of high-quality code
                                                              -

                                                              -

                                                              Additional Information

                                                              -
                                                              -Data engineering:

                                                              -
                                                                -
                                                              • Degree in Computer Science
                                                              • -
                                                              • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                              • -
                                                              -

                                                              #dataengineer #LI-Hybrid

                                                              -

                                                              Locations:

                                                              +

                                                              An opportunity to bring and continuously build upon the following skills and experience:

                                                                -
                                                              • Toronto
                                                              • -
                                                              • Montreal
                                                              • -
                                                              • Markham
                                                              • -
                                                              • London
                                                              • -
                                                              • Ottawa
                                                              • -
                                                              • New Jersey, USA
                                                              • -
                                                              • Delaware, USA
                                                              • +
                                                              • Agile, PCF, Node, React and Jenkins (must have)

                                                                +
                                                              • +
                                                              • Technologies such as: React, Angular, JQuery, Javascript, Python, Scala or Java
                                                              • +
                                                              • Good API skills (technologies such as Express/Node, GraphQL/Relay, Flask, Jersey, Java Spring REST or WebApi2)
                                                              • +
                                                              • Writes clear, readable and maintainable code, takes ownership of the quality and usability of code
                                                              • +
                                                              • Understands how to find and reuse patterns and platforms in the Manulife ecosystem and the broader community
                                                              • +
                                                              • Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures)
                                                              • +
                                                              • Good foundation in data structures, algorithms, and OO Design with rock-solid programming skills
                                                              • +
                                                              • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
                                                              • +
                                                              • Constantly learns from both success and failure
                                                              • +
                                                              • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
                                                              • +
                                                              • Good verbal and written communication; effectively articulates technical vision, possibilities, and outcomes
                                                              • +
                                                              • Experiments with emerging technologies and understanding how they will impact what comes next
                                                              • +
                                                              • Experience working in or leading complex enterprise implementations
                                                              -
                                                              * L7- L10
                                                              -

                                                              -

                                                              Hours

                                                              -
                                                              37.5
                                                              +


                                                              If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                              +


                                                              About Manulife

                                                              +

                                                              Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                              +



                                                              +

                                                              Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                              ",,https://jobs.manulife.com/ShowJob/JobId/959415/AutomationDigitizationSeniorFullStackEngineer,aimasters@vectorinstitute.ai,http://m.manulife.com/AdvancedAnalytics,,,2020-09-09T16:06:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/37981584-automation-digitization-senior-full-stack-engineer-at-manulife,,expired,2020-08-10T15:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +16bd7f7b-ba2b-4b30-a5f0-960381ebdb37,38104122,Vector Institute,Project Management Intern,temporary,"Toronto, ON, Canada",2020-08-13T22:42:43.324Z,"

                                                              POSITION OVERVIEW

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              The Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute where the objectives are to help our industry sponsors develop, deploy and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation team are met.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-09T21:10:54.566Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/122841922-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-28T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -0618eb8d-7d28-4a73-9105-b1c8036f0a54,123602231,RBC,Sr. Data Analyst,on_site,"Toronto, ON, Canada",2022-05-02T12:53:08.388Z,"
                                                              -

                                                              Come Work with Us!

                                                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                              -

                                                              Job Title

                                                              Sr. Data Analyst

                                                              +

                                                              Start date: Fall 2020

                                                              -

                                                              Job Description

                                                              -

                                                              What is the opportunity?

                                                              +

                                                              APPLIED INTERNSHIPS AT VECTOR

                                                              -

                                                              As the Senior Data Analyst, you will be part of Global Procurement\'s (GP) Data Management & Business Intelligence (DM & BI) team, supporting data and insight needs. You will help manage delivering data from source to Global Procurement teams to help make data driven decisions; creating and updating reports to support the ever growing need within GP and assist the senior team members within DM & BI with various data mining related projects. You will be establishing and fostering strong, collaborative relationships with GP teams and continuously look for new opportunities to automate processes. You will be considered the COE of procurement data and the applications used to help drive data insight.

                                                              +

                                                              As a Vector intern, you will work up to 20 hours per week over an academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.

                                                              +

                                                              +

                                                              Eligible candidates include Vector Researchers, Vector Scholarship in Artificial Intelligence recipients, graduate students of Vector Faculty Affiliates, and AI master’s students in Vector Recognized Programs.

                                                              +

                                                              +

                                                              +

                                                              KEY RESPONSIBILITIES

                                                              -

                                                              What will you do?

                                                              -

                                                              Reporting & Data Analytics

                                                                -
                                                              • Knowledge of Procurement and Organizational data to provides business with expert knowledge of data available to improve usefulness of reporting

                                                              • -
                                                              • Interact with Global Procurement teams to understand their operational reporting, dashboard and analytics needs

                                                              • +
                                                              • Assist in the development and management of Industry Projects, creating and updating project plans, schedules, status reports, and other project deliverables (e.g. business cases, executive roadmaps, etc);
                                                              • +
                                                              • Facilitate discussions on AI applications and identification of potential contributors in the broader ecosystem;
                                                              • +
                                                              • Support project meeting coordination functions such as booking meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), taking minutes, tracking action items and following up with meeting participants;
                                                              • +
                                                              • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, conducting jurisdictional scans, report writing;
                                                              • +
                                                              • Perform quantitative and qualitative analysis; and,
                                                              • +
                                                              • Other duties as assigned.

                                                              -

                                                              Business Analysis & Documentation

                                                              +

                                                              PROFILE OF THE IDEAL CANDIDATE

                                                              +

                                                                -
                                                              • Meet with business partners to understand business requirements

                                                              • -
                                                              • Coordinates detailed business requirements phases identifying, tracking and resolving business systems issues

                                                              • -
                                                              • Develop plans and accurate estimates for completion of requirements, continuously improving the level of detail and accuracy of estimates

                                                              • -
                                                              • Manage risks, assumptions and constraints for requirements, and communicate to appropriate parties

                                                              • -
                                                              • Thoroughly document business requirements and translate to technical requirements

                                                              • +
                                                              • You are a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector's Recognized Programs
                                                              • +
                                                              • You are motivated to apply machine learning techniques to real-world problems
                                                              • +
                                                              • You have experience using GSuite and/or MS Office 365 applications
                                                              • +
                                                              • You have the requisite software skills and experience developing, refining and deploying machine learning models to problems outside of the research sector; experience in project management considered an asset
                                                              • +
                                                              • You are interested in learning software development skills, refining and deploying machine learning models to problems outside of the research sector
                                                              • +
                                                              • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link health data, privacy concerns, challenges associated with unstructured or unlabelled data)
                                                              • +
                                                              • You are a good communicator who is interested in helping non-technical people to understand machine learning and other AI techniques
                                                              • +
                                                              • You are organized and efficient, with strong problem-solving skills
                                                              • +
                                                              • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                              • +
                                                              • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture
                                                              • +
                                                              • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem

                                                              -

                                                              Communication & Collaboration

                                                              +

                                                              Please click the ""Apply to this Job"" button to be re-directed to Vector's webpage to complete the application. Please address applications to Kailyn Burke, HR Generalist. In a brief cover letter, please highlight your eligibility as a Vector Researcher, Vector Scholarship in Artificial Intelligence recipient, graduate student of a Vector Faculty Affiliate or an AI master’s student in one of Vector Recognized Programs and include supporting details (program name, supervisor etc.).

                                                              +

                                                              +

                                                              Review of applications will begin August 20, 2020. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                              +

                                                              +

                                                              The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                              +

                                                              +

                                                              Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                              ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=93&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2020-08-25T14:43:00.000Z,True,0,41,251,https://talenthub.vectorinstitute.ai/jobs/38104122-project-management-intern-at-vector-institute,,expired,2020-08-13T22:42:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Internship/Co-op,No Degree,New Posting, +ebdb09d4-b36d-4717-b2b1-1e52abf8fc51,23916448,Wattpad,Data Engineer - Wattpad Labs,on_site,"Toronto, ON, Canada",2019-11-08T15:28:41.125Z,"

                                                              Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 80 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else. Our brand banner includes: Wattpad, Tap by Wattpad, Wattpad Labs, Wattpad Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!
                                                              Our users have uploaded over half a billion stories on to our platform! This data is used to inform multi-million dollar business initiatives, drive product decisions and develop cutting-edge machine learning models.
                                                              We are currently looking for a Data Engineer to join our Story DNA Squad in our Wattpad Labs business unit. Story DNA generates new opportunities for Wattpad by utilizing the latest advancements in natural language processing and machine learning to build intelligent products. Our business is fast-paced, dynamic and evolves quickly; so you are versatile, adaptable, and are able to decompose complex problems. Our team includes engineers, data scientists, and a product manager. You will spend your time enhancing our product offerings. Your work impacts millions of users every day.

                                                              +

                                                              +

                                                              What you'll be doing:

                                                                -
                                                              • Develop and maintain strong relationships with internal and external team members and business partners

                                                              • -
                                                              • Be a team player by proactively sharing best practices with other team members

                                                              • +
                                                              • Ship and maintain machine learning models in production
                                                              • +
                                                              • Implement scalable, robust ETL/ELT data pipelines
                                                              • +
                                                              • Design, build, maintain, and evolve a large scale distributed system serving millions of people per day
                                                              • +
                                                              • Work collaboratively with product management and data scientists
                                                              • +
                                                              • Contribute towards continuous improvement across data and engineering department
                                                              -

                                                              -

                                                              Self-Development & Coaching (if applicable)

                                                              +

                                                              What we're looking for:

                                                                -
                                                              • Proactively plan self-development activities and follow through

                                                              • -
                                                              • Look for opportunities to broaden own experiences/skill set and develop capabilities and knowledge

                                                              • +
                                                              • Solid understanding of data engineering best practices (batch data processing, streaming, etc.)
                                                              • +
                                                              • Understanding of software engineering fundamentals and principles
                                                              • +
                                                              • Familiarity with data engineering tools; and proficiency with at least one: ElasticSearch, Spark, Airflow, Luigi, Hive
                                                              • +
                                                              • Proficiency with cloud technologies (AWS, EMR, ECR)
                                                              • +
                                                              • Proficiency in Python, SQL, and *nix environments
                                                              • +
                                                              • You are eager and take initiative, you leave the campgrounds cleaner than you found it
                                                              • +
                                                              • 3+ years of related industry experience
                                                              • +
                                                              • Interest in natural language processing and understanding
                                                              -

                                                              -

                                                              What will you need to succeed?

                                                              -

                                                              Must have:

                                                              +

                                                              What we offer:

                                                                -
                                                              • Degree in Computer Science, Mathematics/Statistics, or related field; or equivalent experience

                                                              • -
                                                              • 1-2 years of experience in a data related role

                                                              • -
                                                              • Analytical programming languages (SAS, Python or R)

                                                              • -
                                                              • Experience in developing reports (e.g. Excel, Tableau, Power BI)

                                                              • -
                                                              • Strong critical thinking and problem solving skills

                                                              • -
                                                              • Attention to detail, organization and time management is critical.

                                                              • -
                                                              • Experience in a data analytical role.

                                                              • -
                                                              • Ability to effectively communicate data through effective visual storytelling.

                                                              • -
                                                              • Experience in presenting to senior management.

                                                              • +
                                                              • Competitive salary
                                                              • +
                                                              • Meaningful equity (stock options)
                                                              • +
                                                              • Career development; we believe in mentorship and supporting you to achieve your goals
                                                              • +
                                                              • Hackathons
                                                              • +
                                                              • Health benefits, fully covered on us!
                                                              • +
                                                              • Generous parental leave top-up
                                                              • +
                                                              • Transit pass, choice of hardware, flexible hours
                                                              • +
                                                              • Corporate discount for gym memberships for you and your family
                                                              • +
                                                              • A beautiful office in downtown Toronto, with easy access to transit
                                                              • +
                                                              • And a whole lot more!
                                                              -

                                                              -

                                                              Nice to have:

                                                              +


                                                              About Wattpad
                                                              Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

                                                              Culture and Diversity
                                                              Wattpad is an equal opportunity employer. We do not discriminate. Period.
                                                              We have taken a leadership position on creating a culture and an organization that truly values diversity. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. Our team is as diverse and eclectic as the global Wattpad community. In case it’s not clear: we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                              ",,https://company.wattpad.com/work-at-wattpad/detail?id=b658ff6a-597a-48c3-a112-3ee15c118acb,adam.renkosinski@vectorinstitute.ai,https://company.wattpad.com/work-at-wattpad,,,2020-02-24T15:28:00.000Z,False,0,9,83,https://talenthub.vectorinstitute.ai/jobs/23916448-data-engineer-wattpad-labs-at-wattpad,,expired,2019-11-28T12:02:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +1d2fa2d9-66b3-4a91-ad86-8a130aec4da1,24510870,Manulife,Senior Data Science Engineer,on_site,"Toronto, ON, Canada",2019-11-13T21:09:21.766Z,"

                                                              The Role: Senior Data Science Engineer

                                                              +

                                                              The Senior Data Science Engineer is a data domain subject matter expert, providing support to the team via exploratory data analysis, data modeling, intelligent automation, and ad-hoc reporting. The Data Science Engineer will be responsible for navigating Manulife's data systems and third party data sources. The Data Science Engineer is responsible for managing the data supply chain, including: data acquisition, data quality & completeness checks, data cleansing, data transformation & integration from internal and external sources, and preparation of analytical data sets for modeling.

                                                              +

                                                              Responsibilities:

                                                              +

                                                              Support Analytics projects through data sourcing, exploration, cleanup, manipulation, modeling and design

                                                                -
                                                              • Knowledge in relational database management systems (SQL Server, MS Access, Teradata)

                                                              • -
                                                              • Knowledge of Procurement processes

                                                              • -
                                                              • Ability to be effective and equally conversant in business and technical environments.

                                                              • +
                                                              • Support data delivery from both internal and external sources; collaborate with data experts & data sourcing resources.
                                                              • +
                                                              • Thorough understanding of and experience with data gathering, storing, and retrieval methods.
                                                              • +
                                                              • Tactical support of data validation, consolidation and cleansing processes.
                                                              • +
                                                              • Work with Data Scientists to transform business requests into valued works including: data integration, data mapping, modeling and meta-data design; data aggregation; data cleansing & other data-related processes.
                                                              • +
                                                              • Build pipelines to improve turnaround time on data availability and increase efficiencies of machine learning model building and deployment processes.
                                                              -

                                                              -

                                                              What’s in it for you?

                                                              -

                                                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                              +

                                                              Provide line of business data domain expertise

                                                                -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities
                                                              • -
                                                              • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                              • -
                                                              • Opportunities to do challenging work and to be immersed in new technologies being leveraged by the bank.
                                                              • +
                                                              • Responsible for understanding the systems & data environment for Global Wealth and Asset Management
                                                              • +
                                                              • Work closely with Investment Operations, Chief Analytics Officer, and IS teams to collaboratively assess, understand, improve and deliver rich data content for analysis.
                                                              • +
                                                              • Research & use technical documentation in order to gain a holistic understanding of the data domain.
                                                              • +
                                                              • Assist in the development of conceptual/logical data models with appropriate business contexts.
                                                              • +
                                                              • Support researching data structure and/or data content issues and the design of effective data solutions.
                                                              • +
                                                              • Document current and future business processes.
                                                              +

                                                              Support ad-hoc data and reporting requests

                                                              +
                                                                +
                                                              • Deliver ad-hoc reporting in order to support Global Wealth and Asset Management initiatives and advanced analytics projects.
                                                              • +
                                                              • Deliver reporting & visualizations to effectively communicate insights to non-technical business users for a variety of audiences.
                                                              • +
                                                              • Employ analytical, conceptual, and creative thinking skills to solve data analysis problems and get business results.
                                                              • +
                                                              +

                                                              Qualifications:

                                                              +
                                                                +
                                                              • University degree in quantitative based field (e.g. Math, Physics, Engineering, Computer Science).
                                                              • +
                                                              • 5+ year of data engineering experience preferred.
                                                              • +
                                                              • Advanced experience with multidimensional and relational databases.
                                                              • +
                                                              • Familiarity with cloud technologies, IaaS, PaaS, SaaS, DaaS.
                                                              • +
                                                              • Advanced experience in Python, SQL, R, .net.
                                                              • +
                                                              • Advanced experience in data management and working with ETL tools.
                                                              • +
                                                              • Advanced experience working with internal business clients to develop analytical insights.
                                                              • +
                                                              • Experience providing data analysis to support management decisions.
                                                              • +
                                                              • General knowledge of data analytics theory & application.
                                                              • +
                                                              • Experience with analytics tools and visualization tools a plus.
                                                              • +
                                                              • Financial services experience desired
                                                              • +
                                                              +

                                                              Personal Attributes and Cultural Fit:

                                                              +
                                                                +
                                                              • Inspires and motivates others.
                                                              • +
                                                              • Role model of ethics and integrity who builds a culture of respect.
                                                              • +
                                                              • Highly effective change agent who embraces change and leads change management.
                                                              • +
                                                              • Provides courageous advice.
                                                              • +
                                                              • Results oriented; highly focused on accountability.
                                                              • +
                                                              • Ability to handle multiple partners
                                                              • +
                                                              • Demonstrates a commitment to delivering excellent service balanced with appropriate risk management.
                                                              • +
                                                              • Strategic perspective.
                                                              • +
                                                              • Highly collaborative working style.
                                                              • +
                                                              +

                                                              If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                              +


                                                              About Manulife

                                                              +

                                                              Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                              Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                              ",,https://jobs.manulife.com/ShowJob/Id/790914/Senior%20Data%20Science%20Engineer,aimasters@vectorinstitute.ai,https://www.manulife.ca/personal.html,,,2020-02-24T21:09:00.000Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/24510870-senior-data-science-engineer-at-manulife,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +010d2e28-ceb8-456a-b37a-cefcfaa45eeb,24716931,Scotiabank,"Director, Name Screening, AML/ATF Models and Analytics",on_site,"Toronto, ON, Canada",2019-11-15T14:51:09.580Z,"

                                                              Requisition ID: 63443

                                                              +

                                                              Join the Global Community of Scotiabankers to help customers become better off.

                                                              -

                                                              Job Summary

                                                              -

                                                              Address:

                                                              TORONTO, Ontario, Canada

                                                              City:

                                                              CAN-ON-TORONTO

                                                              Country:

                                                              Canada

                                                              Work hours/week:

                                                              37.5

                                                              Employment Type:

                                                              Full time

                                                              Platform:

                                                              Strategy and Administration

                                                              Job Type:

                                                              Regular

                                                              Pay Type:

                                                              Salaried

                                                              Posted Date:

                                                              2022-04-28-07:00

                                                              Application Deadline:

                                                              2022-05-09-07:00
                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                              ​​​​​​​
                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                              -
                                                              -

                                                              Join our Talent Community

                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                              -
                                                              ",,https://jobs.rbc.com/ca/en/job/R-0000009284/Sr-Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-09T22:06:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/123602231-sr-data-analyst-at-rbc,,expired,2022-05-02T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -598f38b0-703e-4fad-bf51-fa99ba9fe288,124172048,TD Bank Group,Business Insights Analyst,on_site,"London, ON",2022-05-05T21:04:01.918Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              -

                                                              -

                                                              Department Overview

                                                              -
                                                              -

                                                              What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                              -

                                                              We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                              -
                                                              +

                                                              Purpose:

                                                              +

                                                              The Director, Name Screening, AML/ATF Models and Analytics is responsible for leading a team that applies sophisticated statistical techniques to enhance the name and payment screening processes for Scotiabank across all products across all countries. The Director will apply statistical, data mining and pattern analysis techniques to create new rules/logic for name screening and / or tuning of the rules in line with Scotiabank’s risk appetite and policies.

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              -

                                                              About this Role

                                                              -

                                                              With a burgeoning career in data and analytics, this role is a great fit if you’re ready to take your growing expertise, key insights, knowledge transfer skills and mentorship to the next level. Day-to day, you’ll collect data and information to be developed into analytical interpretation and key action items multi-functional business partners across the organization. You’ll produce your own set of insights and action items that will inform business decisions enterprise wide and help to tackle the increasingly complex business problems they face. And as you grow into the role, TD will inspire you to share your knowledge with your peers, empowering them to collaborate and bring TD into the future of banking.

                                                              -

                                                              -

                                                              As a Business Insights Analyst, you will:

                                                              +

                                                              Accountabilities:

                                                                -
                                                              • Apply understanding of respective business strategies to produce relevant data analysis to support business goals and objectives
                                                              • -
                                                              • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                              • -
                                                              • Produce insights and recommend business actions to support business strategy and/or tackle business problems
                                                              • -
                                                              • Work in partnership with various functions to provide day-to-day support and delivery of analytics
                                                              • -
                                                              • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                              • -
                                                              • Execute on data requests accurately and within a timely manner
                                                              • -
                                                              • Represent functional area as an analytics & insights professional and key resource
                                                              • -
                                                              • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                              • -
                                                              • Provides day-to-day support and delivery of analytics
                                                              • -
                                                              • Contribute to the identification of key performance indicators
                                                              • -
                                                              • Experienced professional role providing specialized guidance/assistance to function supported
                                                              • -
                                                              • Focus on short to medium-term non-routine specialized/less complex issues and/or raised matters of concern
                                                              • -
                                                              • Independently perform activities end to end
                                                              • +
                                                              • Lead the application of sophisticated statistical techniques to develop and enhance name screening and payment screening rules/logic for a wide range of products across all countries in Scotiabank’s global footprint
                                                              • +
                                                              • Understanding latest advances in AML analytics & predictive models, including applications Artificial Intelligence Machine Learning
                                                              • +
                                                              • Provide direction to the model development teams to scope, understand and appropriately document the models. Develop and update statistical approaches with longer term strategies to mitigate this risk and improve the model performance across products and services globally
                                                              • +
                                                              • Oversee the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                                                              • +
                                                              • Lead a team of quantitative risk professionals in this area
                                                              • +
                                                              • End to end ownership of Name Screening analytics, including rule/logic development, tuning, documentation, deployment (in collaboration with IT&S) and monitoring
                                                              • +
                                                              • Frequently interface with regulators, auditors and model validation teams.
                                                              -

                                                              -

                                                              Requirements

                                                              -
                                                              -What can you bring to TD?

                                                              -

                                                              Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              +

                                                              Requirements & Experience:

                                                                -
                                                              • Experience with Power BI, Tableau and SSRS, Excel
                                                              • -
                                                              • Experience with Archer and Audit
                                                              • -
                                                              • Undergraduate degree or technical certificate
                                                              • -
                                                              • Three (3) or more years relevant experience
                                                              • +
                                                              • Statistical modeling and data science methods
                                                              • +
                                                              • Programming in statistical languages such as R, SAS. Experience with databases such as Oracle or SQL Server
                                                              • +
                                                              • AML/ATF experience or analytic knowledge
                                                              • +
                                                              • Name scanning applications such as HotScan, FircoSoft and Bridger is a must
                                                              • +
                                                              • People manager for minimum 3 years
                                                              • +
                                                              • Master’s degree or higher in science, technology, engineering or mathematics preferred
                                                              -
                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              +

                                                              As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Name-Screening%2C-AMLATF-Models-and-Analytics-ON/534992817/,adam.renkosinski@vectorinstitute.ai,https://www.scotiabank.com/ca/en/personal.html,,,2020-02-03T14:51:00.000Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/24716931-director-name-screening-aml-atf-models-and-analytics-at-scotiabank,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +f048c950-8014-4608-8c9b-ed5a87206373,24967524,Manulife,Senior Data Scientist - Claims Analytics Centre of Excellence,on_site,"Toronto, ON, Canada",2019-11-18T19:05:12.588Z,"

                                                              Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

                                                              +

                                                              Job Description

                                                              +

                                                              About Manulife

                                                              +

                                                              Manulife Financial Corporation (""Manulife"") is a leading international financial services group that helps people make their decisions easier and lives better. The company provides financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

                                                              +

                                                              The company is a Top 10 global life insurance company and a Top 20 global asset manager. The company operates primarily as John Hancock in the United States and as Manulife elsewhere. With its global headquarters in Toronto, Canada, Manulife trades as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                              +

                                                              Passionate about delighting its customers, creating value for its shareholders and building a world-class culture, Manulife’s President & CEO Roy Gori, and the leadership team have established a bold ambition to transform Manulife into the most customer-centric, digital leader in the industry, setting out detailed plans against five strategic priorities to achieve this ambition.

                                                              -

                                                              Hours

                                                              -
                                                              37.5
                                                              +

                                                              For more details about our Mission, Strategic Priorities and Values, please follow the link below:

                                                              +

                                                              https://www.manulife.com/en/ab... Role: Senior Data Scientist - Claims Analytics Centre of Excellence

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              The Claims Analytics Centre of Excellence has a global mandate focused on unleashing the power of claims data by providing thought leadership, delivering end to end projects and supporting Manulife’s local Advanced Analytics teams operating in Canada, the US & Asia.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-09T22:06:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/124172048-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -96f9be0a-2c55-4cf2-84ca-60cf7fd7bce2,119136833,Borealis AI,Senior Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-04-07T21:45:05.911Z,"
                                                              Available Locations
                                                              Montreal

                                                              What\'s the opportunity?

                                                              -

                                                              We’re looking for a Senior Engineering Manager to lead our Montreal engineering team, working at the forefront of machine learning technology and working on extremely challenging problems.

                                                              -

                                                              -

                                                              As a Senior Machine Learning Engineering Lead, you will manage a team of managers and engineers involved in multiple ML projects. You will support those projects through the entire lifecycle—from research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work along other senior managers in engineering and across Borealis AI to help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

                                                              -

                                                              Your responsibilities include:

                                                              +

                                                              The Role: The Senior Data Scientist is accountable for the research, development and implementation of advanced analytics models and algorithms using claims data tied back to the mandate of the Claims Analytics CoE. This position will provide analytics thought leadership and support the development of the capabilities of the team.

                                                              +

                                                              +

                                                              Responsibilities:

                                                                -
                                                              • Provide strategic direction, leadership and management to a team of managers and engineers involved in multiple ML projects
                                                              • -
                                                              • Provide functional management to multiple ML projects
                                                              • -
                                                              • Establish high standards and share technical knowledge in performance, scalability, system architecture, and engineering best practices;
                                                              • -
                                                              • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                              • -
                                                              • Grow and develop the team, helping each team member advance their career development.
                                                              • -
                                                              • Work with Borealis senior leadership to achieve the Borealis mission and strategy
                                                              • -
                                                              • Drive cross-team cohesion and help to build the culture of the Montreal office
                                                              • +
                                                              • Lead and deliver advanced analytics solutions through consulting type engagements with internal business clients
                                                              • +
                                                              • Perform requirement analysis with business area (understand business problem and generate hypotheses)
                                                              • +
                                                              • Build, test, deploy and iteratively improve models
                                                              • +
                                                              • Calculate model impact/Return on Investment and communicate value to partners
                                                              • +
                                                              • Implement measurement and documentation framework against all project work
                                                              • +
                                                              • Generate insights for businesses so that they clearly recognize the quantifiable value considering trade-offs between and among choices
                                                              • +
                                                              • Enable those who are not professional data analysts to effectively interpret data through effective communication of results and analytics outcomes
                                                              • +
                                                              • Provide thought leadership around analytics methodology, tools, and measurement
                                                              • +
                                                              • Innovate and find creative ways to source data to support modeling efforts, using structured and unstructured data using Big Data technologies
                                                              • +
                                                              • Peer review other Data Scientists’ work
                                                              -

                                                              You\'re our ideal candidate if you:

                                                              +

                                                              +

                                                              Decision Authorities:

                                                                -
                                                              • Have 12+ years of experience delivering software projects to production;
                                                              • -
                                                              • Have 7+ years experience managing engineering teams;
                                                              • -
                                                              • Experience working collaboratively with business, product and other technical teams;
                                                              • -
                                                              • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                              • -
                                                              • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                              • -
                                                              • Experience working in an agile environment, including managing team members across multiple different projects and/or products
                                                              • -
                                                              • Experience managing hybrid teams; promote an excellent employee experience regardless of where employees are
                                                              • -
                                                              • Have a background in machine learning or a related field;
                                                              • -
                                                              • Experience with financial services and enterprise software.
                                                              • +
                                                              • Owns and delivers projects of diverse scope.
                                                              • +
                                                              • Oversees the work of more junior data scientists.
                                                              • +
                                                              • Independently provides analysis on datasets of significant complexity
                                                              • +
                                                              • Recommends implementable solutions to (or in collaboration with) business partners
                                                              -

                                                              What\'s in it for you?

                                                              +

                                                              +

                                                              Qualifications:

                                                                -
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • -
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • -
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              -

                                                              -

                                                              -

                                                              ",,https://www.borealisai.com/en/careers/employment/6039893002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-11T14:57:10.645Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/119136833-senior-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-04-07T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -a3f0f368-7334-47fe-a53d-13daca698bc7,119136832,Borealis AI,Research Engineer - Engineering,on_site,"Ontario, Canada",2022-04-07T21:45:05.857Z,"
                                                              Available Locations
                                                              Toronto

                                                              What’s the opportunity?

                                                              -

                                                              Borealis AI is a team of researchers and engineers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our engineering team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                              -

                                                              -

                                                              We’re looking for an enthusiastic scientist or software engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems related to capital markets. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and engineering teams to help extend research prototypes into implemented products.

                                                              -

                                                              -

                                                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                              -

                                                              Your responsibilities include:

                                                              +
                                                            • Ph.D. or Masters Degree in a quantitative discipline (Statistics, Applied Mathematics, Computer Science, etc.)
                                                            • +
                                                            • 5+ plus years developing of probabilistic models, data mining, and machine learning algorithms including real world experience in model development validation and testing and implementation
                                                            • +
                                                            • Expert in data analysis using Python, R, SQL or SAS
                                                            • +
                                                            • Strong data engineering, and data management expertise with proven data transformation and manipulation experience
                                                            • +
                                                            • Knowledge of Knowledge of big data system, NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc
                                                            • +
                                                            • Strong commitment to organizational success and team work
                                                            • +
                                                            • Proven ability to exchange ideas and convey complex information clearly and concisely
                                                            • +
                                                            • Experience in sales, distribution, and/or marketing modeling desirable - financial services industry experience preferred
                                                            • +
                                                            +

                                                            +

                                                            Personal Attributes and Cultural Fit:

                                                              -
                                                            • Building ML based software solutions;
                                                            • -
                                                            • Collaborating with engineers to integrate algorithms into products;
                                                            • -
                                                            • Collaborating with researchers to prototype ML solutions rapidly;
                                                            • -
                                                            • Developing reusable internal tools to facilitate research prototyping; and
                                                            • -
                                                            • Supporting projects with thorough documentation, design decisions, and capabilities.
                                                            • +
                                                            • Inspires and motivates others.
                                                            • +
                                                            • Role model of ethics and integrity who builds a culture of respect.
                                                            • +
                                                            • Highly effective change agent who embraces change and leads change management.
                                                            • +
                                                            • Provides courageous advice.
                                                            • +
                                                            • Results oriented; highly focused on accountability.
                                                            • +
                                                            • Ability to handle multiple partners
                                                            • +
                                                            • Demonstrates a commitment to delivering excellent service balanced with appropriate risk management.
                                                            • +
                                                            • Strategic perspective.
                                                            • +
                                                            • Highly collaborative working style.
                                                            -

                                                            You’re our ideal candidate if you have:

                                                            +


                                                            If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock.

                                                            +


                                                            About Manulife

                                                            +

                                                            Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of June 30, 2019, we had over $1.1 trillion (US$877 billion) in assets under management and administration, and in the previous 12 months we made $29.4 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

                                                            +

                                                            Manulife is an equal opportunity employer. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention and advancement and we administer all of our practices and programs based on qualification and performance and without discrimination on any protected ground. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request any accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.

                                                            ",,https://jobs.manulife.com/ShowJob/Id/748829/Senior-Data-Scientist-Claims-Analytics-Centre-of-Excellence/,adam.renkosinski@vectorinstitute.ai,https://www.manulife.com/en/careers/why-join-us.html,,,2020-01-20T19:05:00.000Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/24967524-senior-data-scientist-claims-analytics-centre-of-excellence-at-manulife,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +7ea5b573-69df-402d-a0b6-a35a4f2fe4cf,25225492,Layer 6,Sr. Full Stack Engineer,on_site,"Toronto, ON, Canada",2019-11-22T15:55:12.047Z,"

                                                            We are looking for world-class engineers to help us develop a system that will serve as the main interface to our machine learning platform. The goal of this system is to help in all stages of model development, from feature engineering all the way to production monitoring.

                                                            +

                                                            We empower our data scientists to build better models by helping them understand the data and trained models. We also provide the tools necessary for analyzing and visualizing machine learning algorithms in an effort to extract valuable business insights in a transparent and comprehensive manner.

                                                            +

                                                            As Senior Full Stack Engineer at Layer 6, you’ll work with data scientists to learn about different machine learning algorithms and ways to analyze them. On the back end, you’ll work with the team to architect systems and design a REST API for the front-end web application, while on the front-end, you’ll build intuitive interfaces to visualize data and answer questions about machine learning models.

                                                            +

                                                            You’ll also have the opportunity to work with the engineering team to tackle the challenge of developing high performance, robust and scalable systems.

                                                            +

                                                            Requirements

                                                            +

                                                            What can you bring to TD & Layer 6? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

                                                              -
                                                            • A deep understanding of ML concepts
                                                            • -
                                                            • Passion for professional software engineering practices and the full product development life cycle
                                                            • -
                                                            • Strong communication skills and a collaborative attitude
                                                            • -
                                                            • 2+ years of applied ML experience in a high-responsibility, minimal-supervision environment;
                                                            • -
                                                            • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Julia;
                                                            • -
                                                            • Familiarity with the Unix command line and bash scripting;
                                                            • -
                                                            • Experience in any of the following areas is a plus: probabilistic graphical models, latent variable models, probabilistic programming, capital markets
                                                            • +
                                                            • BSc+ in Computer Science or similar
                                                            • +
                                                            • 5+ years of programming experience
                                                            • +
                                                            • Proven experience in designing and delivering a large web application
                                                            • +
                                                            • Experience as a key contributor and leader on projects
                                                            • +
                                                            • Strong experience in Java or JavaScript (or other front-end languages)
                                                            • +
                                                            • Extensive experience with at least one front-end framework (React, Elm, etc.)
                                                            • +
                                                            • Passionate about creating a great user experience
                                                            • +
                                                            • Strong desire to learn
                                                            -

                                                            What\'s in it for you?

                                                            +

                                                            What we consider an asset:

                                                              -
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • -
                                                            • Ability to make a difference and lasting impact from a local-to-global scale
                                                            • +
                                                            • Experience in building a web app in Elm
                                                            • +
                                                            • Experience with functional programming
                                                            • +
                                                            • Experience with Elasticsearch
                                                            • +
                                                            • Familiarity with data analysis or machine learning
                                                            • +
                                                            • Experience with Docker and Kubernetes
                                                            • +
                                                            • Comfortable with math (linear algebra, calculus)
                                                            -

                                                            How to apply:

                                                            -

                                                            Please email your resume to mi.research@rbc.com and include where you heard about this opportunity.

                                                            -

                                                            About Borealis AI

                                                            -

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            -

                                                          ",,https://www.borealisai.com/en/careers/employment/6039864002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-11T14:56:44.912Z,False,0,6,33,https://talenthub.vectorinstitute.ai/jobs/119136832-research-engineer-engineering-at-borealis-ai,,expired,2022-04-07T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e5eb0cc3-a389-4982-baa7-286af20e7491,119767949,Thomson Reuters,"Senior Director, AI Platform",on_site,"Ontario, Canada",2022-04-10T13:31:09.107Z,"
                                                          -
                                                          -

                                                          Join us as we work to transform Thomson Reuters into a truly data-driven company.

                                                          The strategic ambition of the newly created Data & Analytics (D&A) function is to build, embed and mature a data-driven culture across the entire company resulting in a world-class Data & Analytics company.

                                                          The AI/ML & BI Platforms Team has been established to create, operate, and run enterprise AI/ML & BI Platforms that will facilitate the time to market for analytics and data science teams to run experiments, train models and generate insights. Core to the team’s principles will be the implementation of data and model governance standards and operationalization of the model release process.

                                                          This role is in one of our strategic locations in Canada, United States, Switzerland

                                                          The AI Platform Senior Director will be responsible for creating and running the enterprise AI platform that supports end to end AI/ML development across Thomson Reuters business operations. The AI Platform Senior Director is expected to be an expert in the use of AI/ML development and proficient in enhancing and streamlining ML workflows and managing a core team of software and platform engineers delivering feature enhancements and operating support.

                                                          +

                                                          Benefits

                                                          +
                                                            +
                                                          • Entrepreneurial and inclusive culture
                                                          • +
                                                          • Excellent health coverage
                                                          • +
                                                          • Four weeks paid vacation
                                                          • +
                                                          • Catered lunches twice a week over machine learning talks
                                                          • +
                                                          ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2020-02-24T18:13:00.000Z,False,0,0,19,https://talenthub.vectorinstitute.ai/jobs/25225492-sr-full-stack-engineer-at-layer-6,,expired,2019-11-28T12:00:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +bb8aff17-c633-4f99-a86e-637f999dc9d1,25408945,Thomson Reuters,Research Scientist - AI and/or Machine Learning,on_site,"Toronto, ON, Canada",2019-11-26T21:50:06.923Z,"

                                                          We are looking for candidates with innovative approaches and the expertise to combine and improve existing technologies into Cognitive Computing products that will help our professional customers find the answers they are looking for. Do you want to be part of a creative smart team working on leading edge problems along side other research scientists and engineers?

                                                          +

                                                          We are looking for a passionate Research Scientist with a consistent record of applied innovation, who is interested in taking Artificial Intelligence technologies to the next level. We are looking for a creative individual who can understand complex business problems, and who can develop scalable algorithms and prototypes to demonstrate the art of possible.

                                                          +

                                                          Applicants should have significant experience in one or more of the following areas: Natural Language Processing, Machine Learning, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, and/or Discourse Modeling.

                                                          -

                                                          About the Role

                                                          -
                                                          -

                                                          -

                                                          In this opportunity you will: 

                                                          -
                                                            -
                                                          • Build and manage a core team of software and platform engineers

                                                          • -
                                                          • Build and evolve the AI Platform

                                                          • -
                                                          • Work closely with internal teams to assess AI tooling needs and rationalize the existing estate

                                                          • -
                                                          • Be an expert on architecting and developing machine learning solutions.

                                                          • -
                                                          • Work closely with platform development teams to integrate ML tools/solutions to a high-performance production solution model.

                                                          • -
                                                          -
                                                          -
                                                            -
                                                          • Be responsible for enhancing and streamlining AI/ML workflows, processes, along with implementing them strategically.

                                                          • -
                                                          • Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings including assessing third party offerings and making buy vs. build decisions.

                                                          • -
                                                          • Have a customer-centric mindset where the immediate customers are AI/ML practitioners as well as consumers, but ultimately serving the interests of TR’s customers.

                                                          • -
                                                          -

                                                          -

                                                          -
                                                          -
                                                          -

                                                          About You

                                                          -

                                                          -

                                                          You are fit for the role of AI Platform Senior Director if you meet all or most of these criteria:

                                                          -

                                                          -
                                                          • Bachelor’s degree required in software engineering or similar

                                                          -
                                                          -
                                                            -
                                                          • 8+ years of experience in Digital, Data, Analysis and/or Technology

                                                          • -
                                                          • Experience managing teams

                                                          • -
                                                          • Experience in transformation projects especially within the data and analytics space

                                                          • -
                                                          • Knowledge of building ML models and end to end AI workflows

                                                          • -
                                                          • AWS (or Azure / Google cloud platfrom) proficiency

                                                          • -
                                                          -
                                                            -
                                                          • A solid understanding of the software development lifecycle

                                                          • -
                                                          • CICD / DevOps / Agile experience

                                                          • -
                                                          • Thorough understanding of data and systems infrastructures 

                                                          • -
                                                          • Ability to translate and understand jargon and requirements of both engineering and scientific domains

                                                          • -
                                                          +

                                                          +KeyResponsibilities: +

                                                          +
                                                            +
                                                          • Design, implement and validate algorithms at scale to solve challenging real world problems
                                                          • +
                                                          • Collaborate with technologists and business partners to drive innovation from conception to production
                                                          • +

                                                          -

                                                          Canada COVID-19 Vaccination Requirement

                                                          +

                                                          +QualificationsandExperience:

                                                          +
                                                            +
                                                          • PhD in Computer Science, or related field preferred, or Master’s degree with 2+ years of relevant industry experience; Senior or Lead positions will be considered commensurate with additional experience.
                                                          • +
                                                          • Proficient programming skills in a high-level language (e.g. Java, Scala, Python, C/C++, Perl, Matlab, R)
                                                          • +
                                                          • Experience with statistical data analysis, experimental design, and hypotheses validation
                                                          • +
                                                          • Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods
                                                          • +
                                                          • Project-based experience with some of the following tools:
                                                          • +
                                                          • Applied machine learning (e.g. libSVM, Shogun, Scikit-learn or similar)
                                                          • +
                                                          • Natural Language Processing (e.g., ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, NLTK, or similar)
                                                          • +
                                                          • Statistical data analysis and experimental design (e.g., using R, Matlab, iPython, etc.)
                                                          • +
                                                          • Information retrieval and search engines, e.g. Solr/Lucene
                                                          • +
                                                          • Distributed computing platforms, such as Hadoop (Hive, HBase, Pig), Spark, GraphLab
                                                          • +
                                                          • Databases (traditional and noSQL)
                                                          • +
                                                          • Must be a self-motivated, lifelong learner, who is passionate about turning new ideas into solutions for our customers
                                                          • +
                                                          • Results-driven focus with the ability to prioritize deliverables that have the most significant, measurable impact
                                                          • +
                                                          • Excellent oral and written communication skills
                                                          • +
                                                          +

                                                          At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

                                                          +

                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                          -

                                                          Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                          +

                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                          +


                                                          Intrigued by a challenge as large and fascinating as the world itself? Come join us.

                                                          To learn more about what we offer, please visit thomsonreuters.com/careers.

                                                          More information about Thomson Reuters can be found on thomsonreuters.com.

                                                          ",,https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Research-Scientist---AI-and-or-Machine-Learning_JREQ126766,aimasters@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2020-04-30T21:50:00.000Z,False,0,11,109,https://talenthub.vectorinstitute.ai/jobs/25408945-research-scientist-ai-and-or-machine-learning-at-thomson-reuters,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,PhD,New Posting, +c1c53803-c962-49ee-9009-f72fa38b63b7,25737391,Vector Institute,"Academic Partnerships Intern (Part-time, Contract)",on_site,"Toronto, ON, Canada",2019-11-29T17:47:57.961Z,"

                                                          About the Vector Institute:

                                                          +

                                                          A thriving, independent not-for-profit, the Vector Institute strives to advance the Artificial Intelligence ecosystem in Ontario, developing and attracting the world’s best machine learning and deep learning experts, and creating an unrivalled convergence of research, investment, entrepreneurialism, and economic growth. Located in the MaRS Discovery District in downtown Toronto, we are part of a dynamic and vibrant community of research, academia, health science and commerce.

                                                          +

                                                          Position Summary:

                                                          +

                                                          In this part-time, contract role (up to 20 hours per week), you will support the Academic Partnerships Team with several initiatives aimed at strengthening the AI ecosystem in Ontario, including contributing to the Vector Digital Talent Hub, helping to coordinate the adjudication of the Vector Scholarship in Artificial Intelligence program, and supporting Vector’s alumni engagement strategy.

                                                          +

                                                          Key Responsibilities:

                                                          +

                                                          The Vector Digital Talent Hub

                                                          +
                                                            +
                                                          • Develop and populate standard web form templates;
                                                          • +
                                                          • Monitor external partner career pages for relevant job postings, and share these to the Digital Talent Hub accordingly;
                                                          • +
                                                          • In partnership with the Office Services Team, verify the Vector affiliation of job seekers who have created profiles within the Digital Talent Hub;
                                                          • +
                                                          • Implement design improvements for the Digital Talent Hub; and
                                                          • +
                                                          • Assist with the automation of data collection and job board scraping.
                                                          • +
                                                          +

                                                          Vector Scholarship in Artificial Intelligence Program

                                                          +
                                                            +
                                                          • Assist in administrative tasks such as sorting Vector Scholarship in Artificial Intelligence application submissions, collating application materials etc.;
                                                          • +
                                                          • Support adjudication of applicants; and
                                                          • +
                                                          • Provide general administrative event support as required.
                                                          • +
                                                          +

                                                          Alumni Engagement Strategy

                                                          +
                                                            +
                                                          • Help track graduate outcomes (e.g., career paths, continuing education) of Vector alumni through a variety of available channels such as email outreach, LinkedIn, Google Scholar, etc.; and
                                                          • +
                                                          • Organize and streamline alumni data across multiple platforms.
                                                          • +
                                                          +

                                                          Other

                                                          +
                                                          • Other related duties as assigned.
                                                          +

                                                          Success Measures:

                                                          +
                                                            +
                                                          • Contributes to the enhancement of the Vector Digital Talent Hub, including improved back end operations, and a seamless user experience;
                                                          • +
                                                          • Coordination of the Vector Scholarship in Artificial Intelligence program is smooth and efficient; and
                                                          • +
                                                          • An alumni database is initiated, and data is collected and organized in such a way that it will generate insights on employment trends in AI in Ontario.
                                                          • +
                                                          +

                                                          Profile of the Ideal Candidate:

                                                          +

                                                          The ideal candidate for the position is a student at a post-secondary institution with a strong eye for design coupled with excellent data mining and organizational skills.

                                                          +
                                                            +
                                                          • You have some front-end design experience, and are proficient in HTML, CSS and XML;
                                                          • +
                                                          • You are comfortable working with Adobe Acrobat and Illustrator;
                                                          • +
                                                          • You are highly skilled in Excel and can generate and run pivot tables, macros etc.;
                                                          • +
                                                          • You have strong data cleaning and mining skills, with a high attention to detail and understanding of how to turn raw data into actionable insights;
                                                          • +
                                                          • You are organized, efficient and a strong communicator; and
                                                          • +
                                                          • Familiarity with GSuite applications and Word Press would be an asset.
                                                          • +
                                                          +

                                                          Employment Type: Part-time, Contract (January – April)

                                                          +

                                                          Please submit all materials using the link provided, addressed to Kendra Beliveau, HR Coordinator. The deadline for submitting applications is December 8, 2019. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

                                                          +

                                                          The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons. All qualified candidates are encouraged to apply.

                                                          +

                                                          Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact Kailyn Burke at kailyn.burke@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=63,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2019-12-16T15:03:00.000Z,False,0,4,54,https://talenthub.vectorinstitute.ai/jobs/25737391-academic-partnerships-intern-part-time-contract-at-vector-institute,,expired,2019-11-28T12:00:00.000Z,admin,Scaling (20-499),Application Click Through,Education,Internship/Co-op,No Degree,New Posting, +542e0951-6e12-4557-aa44-2326d69c81ee,25737621,McMaster University,Postdoctoral Fellowship in Cognitive Neuroscience,on_site,"Hamilton, ON, Canada",2019-11-29T19:01:40.055Z,"

                                                          The Performance Science Laboratory at McMaster University invites applications for a Postdoctoral Fellowship in Cognitive Neuroscience, with a focus on Artificial Intelligence and the study of synthetic consciousness. This is a one (1) year fellowship that shall commence on or after January 1st, 2020. There

                                                          +

                                                          is a possibility of extension for a further one (1) year.

                                                          +

                                                          Applicants should have (or expect to receive in the near future) a PhD in neuroscience, cognitive science, computer science, engineering or a relevant discipline, a strong analytical background and direct experience using deep learning methodologies in supervised learning, unsupervised learning and generative modelling. Extensive experience with reinforcement learning, Python, Keras and Tensorflow is required. Previous experience with natural language processing (NLP), and an interest in robotics is highly desirable. The successful applicant should have enthusiasm, and a clear, demonstrable capacity, for developing further expertise in these areas.

                                                          +

                                                          The successful candidate will primarily be working on an industry-sponsored interdisciplinary project seeking to understand consciousness using generative modelling techniques and theories that span the arts, sciences, social sciences and health disciplines. The candidate will also have some responsibilities providing support for a couple of other research projects, and is expected to be actively involved in the daily life of the research group and to collaborate in developing research ideas and new techniques. The job requires all aspects of study design, implementation, data generation / collection, data analysis as well as assisting in the supervision of junior lab members, presenting at conferences and writing a variety of documents including manuscripts, chapters and grants.

                                                          +

                                                          There may also be opportunities to conduct research in McMaster University’s LIVELab (http://livelab.mcmaster.ca).

                                                          +

                                                          This Postdoctoral Fellowship carries a full-time salary of $55,000 per annum, which includes opportunities to teach one undergraduate and/or graduate class each year. In addition, the incumbent will be provided up to $2,500 per year to cover research expenses. These may include, for example, computer hardware and software, technical books and journals and travel to conferences.

                                                          +

                                                          How To Apply:

                                                          +

                                                          A complete application consists of the following items, sent by email to info@skillslab.ca

                                                          +
                                                            +
                                                          • a cover letter;
                                                          • +
                                                          • a current Curriculum Vitae (including a list of publications);
                                                          • +
                                                          • a statement of current and prospective research interests;
                                                          • +
                                                          • three confidential letters of reference which can be sent directly to Dr. Sonnadara
                                                          • +
                                                          +

                                                          Informal inquiries may be directed to Dr. Ranil Sonnadara (ranil@mcmaster.ca) or Dr. David Harris Smith

                                                          +

                                                          (dhsmith@mcmaster.ca)

                                                          +

                                                          Employment Equity Statement

                                                          +

                                                          All qualified candidates are encouraged to apply; however, Canadian citizens and Permanent Residents of Canada will be considered first for this position. McMaster University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The university encourages applications from all qualified candidates, including women, persons with disabilities, First Nations, Metis and Inuit persons, members of racialized communities and LGBTQ-identified persons. If you require any form of accommodation throughout the recruitment and selection process, please contact the Human Resources Service Centre at 905-525-9140, ext. 22247.

                                                          ",,http://livelab.mcmaster.ca/,aimasters@vectorinstitute.ai,https://www.mcmaster.ca/,,,2020-01-20T19:01:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/25737621-postdoctoral-fellowship-in-cognitive-neuroscience-at-mcmaster-university,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, +61aa0d38-2851-4ca0-b4ee-2ff0a85f4dc3,25956996,TD Bank Group,SR Business Insights Analyst,on_site,"Toronto, ON, Canada",2019-12-02T14:18:09.445Z,"

                                                          Company Overview

                                                          +

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          +

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -

                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                          -

                                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                          +

                                                          Department Overview

                                                          +

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                          +

                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          -

                                                          Accessibility

                                                          +

                                                          Job Description

                                                          +

                                                          The Senior Business Insights Analyst will report to the Manager, Planning Analytics, and will be responsible for conducting in-depth analyses on personal banking portfolio/product level profitability and business drivers, identifying trends in customer behavior, and providing analyses to executives. The Senior Business Insights Analyst will also assist in the annual business planning / quarterly forecasting process, supporting the TDCT, Aeroplan and MBNA credit cards portfolios.

                                                          +

                                                          Accountabilities will include:

                                                          +
                                                            +
                                                          • Providing regular and ad-hoc analyses and presentations to different levels of audience, including senior executives
                                                          • +
                                                          • Building and maintaining models incorporating business actions and external impacts to explain and forecast time-series data
                                                          • +
                                                          • Building and maintaining effective relationships with internal and external partners
                                                          • +
                                                          • Developing deep understanding of business drivers, proactively identifying issues, risks and opportunities
                                                          • +
                                                          • Developing and producing monthly business performance reports, highlighting emerging trends and performance against strategic objectives
                                                          • +

                                                          -

                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                          +

                                                          Requirements

                                                          +
                                                            +
                                                          • Strong critical thinking skills, business acumen, and ability to generate insights from data
                                                          • +
                                                          • Strong communication skills including building and delivering presentations for non-technical audiences
                                                          • +
                                                          • Strong modelling skills, particularly time-series
                                                          • +
                                                          • Strong Excel and PowerPoint skills
                                                          • +
                                                          • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
                                                          • +
                                                          • Programming skills including SQL, Python, or R
                                                          • +
                                                          • General understanding of machine learning
                                                          • +
                                                          • General understanding of finance and accounting principles
                                                          • +
                                                          • Econometrics skills would be an asset
                                                          • +

                                                          -

                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                          +

                                                          Hours

                                                          +

                                                          37.5

                                                          -

                                                          Protect yourself from fraudulent job postings click here to know more.

                                                          +

                                                          Inclusiveness

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          ",,https://jobs.td.com/en-CA/jobs/10459734/sr-business-insights-analyst-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2019-12-16T15:06:00.000Z,False,0,6,22,https://talenthub.vectorinstitute.ai/jobs/25956996-sr-business-insights-analyst-at-td-bank-group,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bfd60a49-252d-4406-9ad8-6d6a4601ce83,25957009,Western University,Postdoctoral Fellowship in Computational/Theoretical Neuroscience ,on_site,"London, ON, Canada",2019-12-02T14:28:27.071Z,"

                                                          Fields Institute Postdoctoral Fellowship in Computational/Theoretical Neuroscience

                                                          -

                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                          -
                                                          ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-05-11T15:06:00.000Z,False,0,0,19,https://talenthub.vectorinstitute.ai/jobs/119767949-senior-director-ai-platform-at-thomson-reuters,,expired,2022-04-10T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Director,Bachelors Degree,New Posting, -aa3f623a-387f-4b6a-b52e-f1f931755440,119733929,TELUS,Data Engineer,on_site,"Ontario, Canada",2022-04-10T07:33:08.120Z,"
                                                          -
                                                          -

                                                          Description

                                                          +

                                                          Applications are invited for a Fields Institute Postdoctoral Fellowship in the lab of Lyle Muller at the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario). In collaboration with Laurent Perrinet (INT Marseille), this research will focus on computation with spatiotemporal dynamics in neural networks. The project will use spiking neural networks and machine learning models to understand the role of spatiotemporal dynamics in active vision. Interested candidates can refer to Muller et al., Nature Reviews Neuroscience 19, 2018 for further details.

                                                          +

                                                          This work will utilize a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and low-level programming (C/C++) is preferred. Prior experience with computational modeling, dynamical systems, and random graph theory is also preferred. Western University offers an excellent research environment and support. Candidates can apply to this postings with a CV to arrange an interview.

                                                          +

                                                          Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write the PI (lmuller2@uwo.ca) directly with questions about the research environment.

                                                          +

                                                          Check out the Muller Lab's website for further information http://mullerlab.ca and feel free to check out other open positions at this link: https://mullerlab.ca/positions.html.

                                                          +

                                                          +

                                                          ",lmuller2@uwo.ca,,aimasters@vectorinstitute.ai,https://www.uwo.ca/,,,2020-01-20T14:28:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/25957009-postdoctoral-fellowship-in-computational-theoretical-neuroscience-at-western-university,,expired,2019-11-28T12:00:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Education,Fellowship,PhD,New Posting, +679ff3cf-fbdf-478a-9421-bd197053131b,79419624,Borealis AI,Machine Learning Researcher,on_site,"Toronto, Montreal, Waterloo, Vancouver",2021-08-27T00:34:06.456Z,"
                                                          +

                                                          What's the opportunity?

                                                          +

                                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                          +

                                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                          +
                                                          -

                                                          -

                                                          Join our team

                                                          -



                                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                          -

                                                          -

                                                          We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                          -

                                                          -

                                                          Here’s the impact you’ll make and what we’ll accomplish together

                                                          -

                                                          -

                                                          The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                                          -

                                                          -

                                                          Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                          -

                                                          -

                                                          Here’s how

                                                          -

                                                          -
                                                            -
                                                          • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                                          • -
                                                          • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                                          • -
                                                          • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                                          • -
                                                          • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                                          • -
                                                          • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                                          • -
                                                          • Support the data pipelines feeding into our machine learning algorithms and models
                                                          • -
                                                          • Assist the extracting, loading, transforming, cleaning, and validating of data
                                                          • -
                                                          -

                                                          -

                                                          +

                                                          Your responsibilities include:

                                                          +
                                                            +
                                                          • Developing novel AI solutions that facilitate impactful products;
                                                          • +
                                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                          • +
                                                          • Working with the development team to transfer research work into production;
                                                          • +
                                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                          • +
                                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                          • +
                                                          +
                                                          +

                                                          You’re our ideal candidate if you have:

                                                          +
                                                            +
                                                          • A passion for solving open problems using data and algorithms;
                                                          • +
                                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                          • +
                                                          • Ability to formulate and drive a research project independently without close supervision;
                                                          • +
                                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                          • +
                                                          -
                                                          -

                                                          Qualifications

                                                          -

                                                          -

                                                          You\'re the missing piece of the puzzle

                                                          -

                                                          -
                                                            -
                                                          • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                          • -
                                                          • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
                                                          • -
                                                          • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                                          • -
                                                          • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                          • -
                                                          • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                          • -
                                                          • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                                          • -
                                                          • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
                                                          • -
                                                          -

                                                          -

                                                          Nice-to-haves

                                                          -

                                                          +

                                                          What’s in it for you?

                                                          +
                                                            -
                                                          • GCP Professional Data Engineering certification
                                                          • -
                                                          • Google Cloud Dataflow and Google BigQuery experience
                                                          • -
                                                          • DevOps practices and tools experience
                                                          • -
                                                          • Orchestration and job scheduling platforms experience
                                                          • +
                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                          • +
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                          • +
                                                          • Leaders who support your development through coaching and managing opportunities;
                                                          • +
                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                          -

                                                          -

                                                          +

                                                          +
                                                          About Borealis AI

                                                          -
                                                          ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2022-05-11T15:04:38.586Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/119733929-data-engineer-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -75409d95-273e-4082-9226-446244b97499,127686635,RBC,"Manager, Business Intelligence & Information Management",on_site,"Toronto, ON, Canada",2022-05-27T12:53:08.597Z,"
                                                          -

                                                          Come Work with Us!

                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                          -

                                                          Job Title

                                                          Manager, Business Intelligence & Information Management

                                                          +
                                                          +

                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.


                                                          Inclusion and Equal Opportunity Employment

                                                          +

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          +
                                                          ",mi.research@borealisai.com,,mi.research@borealisai.com,,,,2021-09-26T15:52:03.668Z,False,5,0,111,https://talenthub.vectorinstitute.ai/jobs/79419624-machine-learning-researcher-at-borealis-ai,,expired,2021-08-27T00:34:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,PhD,New Posting, +4daade58-2f4a-4ad5-b616-8adeb451ff30,80295745,TD Bank Group,Data & Analytics Associate Program DS&AA (Undergraduate),on_site,"Toronto, ON",2021-08-30T17:47:18.624Z,"
                                                          +

                                                          Company Overview

                                                          +
                                                          +

                                                          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                          +

                                                          TD’s Colleague Promise: A better you. A better us.

                                                          +

                                                          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                          +

                                                          -

                                                          Job Description

                                                          -

                                                          What is the opportunity?

                                                          -

                                                          RBC Regional Banking Support’s BFS Reporting is hiring a Manager, Business Intelligence & Information Management role that will support strategic reporting and visual insights for Regional Banking’s BFS by successfully transforming data into useful, relevant information, and by leveraging sound business knowledge, additional sources of information, and resources to deliver insight to the BFS field. The position plays a role in driving strategic, timely, and accurate insights to business partners and senior leaders in a BFS banking environment, alongside key technology partners.

                                                          +

                                                          Department Overview

                                                          +
                                                          +

                                                          Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                          +

                                                          Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                          +

                                                          As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                          +

                                                          -

                                                          What will you do?

                                                          -
                                                            -
                                                          • Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk.

                                                          • -
                                                          • Design and develop/enhance innovative reporting solutions to monitor performance management, present key analytical and business insights to underlying drivers in support of the BFS advisors and leaders on client and coaching insights to drive an exceptional client experience.

                                                          • -
                                                          • Take end to end responsibility in the development and enhancement of performance metrics and reporting in Tableau.

                                                          • -
                                                          • Respond to ad-hoc investigations, inquiries, data, and report requests as assigned.

                                                          • -
                                                          • Run production jobs as assigned.

                                                          • -
                                                          • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration and optimization, providing recommendations on approach and execution.

                                                          • -
                                                          • Apply standard design principles and data visualization techniques to measure key indicators, disclose trends, provide proactive actionable insights/indicators and address business questions.

                                                          • -
                                                          • Identify appropriate data sources and perform Extract/Transform/Load (ETL) for data modelling, data quality assessments, understand patterns and provide the basis to inform the reporting solution which provides meaningful performance management insights.

                                                          • -
                                                          • Participate in conversations with internal partners to understand their business strategies (role design, incentive, practice management and portfolio quality) and objectives in order to define/recommend reporting solutions to meet those objectives, effectively communicate project status and develop relationships to ensure satisfaction.

                                                          • -
                                                          • Participate in design and solution review demonstrations with the Senior Manager and/or internal partners at critical tollgates to ensure adherence to requirements, resolve obstacles, while mitigating deployment risk and the need for post-deployment modifications.

                                                          • -
                                                          • Test and validate (QA) new and existing reports and analytics for adherence to business and technical requirements.

                                                          • -
                                                          • Enhance and optimize existing production processes.

                                                          • -
                                                          • Create and maintain accurate documentation related to reporting solutions, including specifications, data lineage, technical and business definitions for metrics, and test plan/test cases.

                                                          • -
                                                          • Be a thought partner within the BFS Reporting team, supporting the developments of insights, processes, data approaches/ methodologies and information that is valued by partners across Regional Banking and BFS.

                                                          • -
                                                          • Learn on a consistent basis, be adaptable to change due to re-prioritizing of items.

                                                          • -
                                                          -

                                                          -

                                                          What do you need to succeed?
                                                          Must-have

                                                          +

                                                          Job Description

                                                          +
                                                          +

                                                          The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

                                                            -
                                                          • Degree in Computer Science, Mathematics/Statistics, Engineering, related field or equivalent related experience.

                                                          • -
                                                          • Demonstrated ETL and big data modeling capabilities, with programming experience in large databases/datasets and using SAS, SQL Server and Teradata SQL Assistant.

                                                          • -
                                                          • Experience in statistical methods, strong data profiling, cleaning, and mining.

                                                          • -
                                                          • Proficient in SQL extracts in order to investigate data from data warehouse and other sources (flat files) for investigation/analysis purposes.

                                                          • -
                                                          • Ability to perform complex data analysis on large volumes of data and present findings to senior leaders in order to inform of strategic decisions.

                                                          • -
                                                          • Proven quantitative analytical (including data knowledge, data discovery, data aggregation and summarization) and problem solving skills.

                                                          • -
                                                          • UNIX knowledge (i.e. submit process, create logs, store data).

                                                          • -
                                                          • Advanced in developing reports using Tableau.

                                                          • -
                                                          • Data knowledge on RBC’s EDW.

                                                          • -
                                                          • Be skilled in Microsoft applications (Excel, PowerPoint).

                                                          • -
                                                          • Expert technical documentation skills and the ability to effectively communicate, verbally and in writing, technical concepts to a non-technical audience.

                                                          • +
                                                          • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                                          • +
                                                          • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                                          • +
                                                          • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                                          • +
                                                          • Build production-scale solutions and work with deployment teams to integrate in business operations
                                                          • +
                                                          • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                                          +

                                                          -

                                                          Nice-to-have

                                                          -
                                                            -
                                                          • Financial Services Industry/Business Financial Services knowledge

                                                          • -
                                                          • Experience in developing performance metrics/reports

                                                          • -
                                                          • Programming/coding skills in Python and Hadoop (HIVE) and Datameer

                                                          • -
                                                          • Experience with Tableau Security, Tableau Server Administration

                                                          • +

                                                            Requirements

                                                            +
                                                              +
                                                            • Must be graduated between May 2020 and May 2022 with an Undergraduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
                                                            • +
                                                            • Strong statistical and analytical skills as well as a passion for analytics are necessary.
                                                            • +
                                                            • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                                            • +
                                                            • +Experienced in one or more of:
                                                                +
                                                              • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
                                                              • +
                                                              • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
                                                              +
                                                            • +
                                                            • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
                                                            • +
                                                            • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
                                                            • +
                                                            • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
                                                            • +
                                                            • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
                                                            • +
                                                            • Remain current with emerging trends and technologies in Data Science
                                                            • +

                                                            -

                                                            What’s in it for you?

                                                            -

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            -
                                                              -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • -
                                                            • Ability to make a difference and lasting impact

                                                            • -
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • -
                                                            • Opportunities to do challenging work and take on progressively greater accountabilities

                                                            • -
                                                            +

                                                            Additional Information

                                                            +
                                                              +
                                                            • Application Deadline: September 12th, 2021
                                                            • +
                                                            • Anticipated Start Date: January 4th, 2022 OR July 4th, 2022 (pending academic completion)
                                                            • +
                                                            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                            • +
                                                            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                            • +
                                                            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                            • +
                                                            • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                            • +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5

                                                            +

                                                            Start Date

                                                            +
                                                            – Summer, – Winter

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -

                                                            Job Summary

                                                            -

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Personal and Commercial Banking

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-05-16-07:00

                                                            Application Deadline:

                                                            2022-05-28-07:00
                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            -
                                                            -

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            -
                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000011846/Manager-Business-Intelligence-Information-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-30T18:15:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/127686635-manager-business-intelligence-information-management-at-rbc,,expired,2022-05-27T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -2f968424-0ef1-4774-b136-6611d806babe,105062275,Layer 6,Sr. DevOps Engineer,on_site,"Ontario, Canada",2022-01-20T16:21:02.764Z,"

                                                          You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                                          -

                                                          We are looking for world-class devops engineers and problem solvers.
                                                          You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                                          -

                                                          Job Requirements

                                                          -

                                                          Must-Have:

                                                          +
                                                          ",,https://jobs.td.com/en-CA/jobs/13657752/data-analytics-associate-program-ds-aa-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-09-14T07:00:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/80295745-data-analytics-associate-program-ds-aa-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13657752/data-analytics-associate-program-ds-aa-undergraduate-toronto-ca/,expired,2021-08-30T17:47:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +4fc6c34f-12d5-4282-9146-63da06570163,104121924,University of Waterloo," Postdoctoral Positions in Environmental and Ecological Modelling at the University of Waterloo, Canada",on_site,"Waterloo, ON, Canada",2022-01-14T20:57:37.460Z,"

                                                          We are seeking 1-2 postdocs for research in climate modelling and/or ecological modelling, under the co-supervision of Prof. Madhur Anand (Global Ecological Change & Sustainability Laboratory, School of Environmental Sciences, University of Guelph: https://www.uoguelph.ca/~manand/Madhur_Anand/Welcome.html) and Prof. Chris Bauch (Department of Applied Mathematics, University of Waterloo: https://www.math.uwaterloo.ca/~cbauch/index.php).

                                                          +

                                                          Applicants will be working on one or both of the following topics:

                                                          +

                                                          1. Modelling interactions between climate dynamics and social processes, with application to climate policy (e.g. https://doi.org/10.1371/journal.pcbi.1007000, )

                                                          +

                                                          2. Modeling interactions between terrestrial processes and climate dynamics, for use in machine learning approaches to predict climate change tipping points (e.g. https://doi.org/10.1073/pnas.2106140118).

                                                          +

                                                          Possible modelling approaches include differential equation models and agent-based models.

                                                          +

                                                          Applicants should have an outstanding publication record, and strong skills in oral and written communication, literature review and synthesis, team collaboration, and initiative. Applicants must have background training or research experience that is directly relevant to these topics.

                                                          +

                                                          Successful applicants will be appointed in the School of Environmental Sciences, University of Guelph, with the possibility of a visiting researcher appointment at the Department of Applied Mathematics, University of Waterloo. Many collaborative opportunities are available. Please send enquiries with CV to manand@uoguelph.ca and cbauch@uwaterloo.ca to initiate discussions. Enquiries will be reviewed beginning immediately until a suitable candidate is found. Salary is commensurate with experience. Positions are for one year, with the possibility of a second year subject to satisfactory performance.

                                                          ",cbauch@uwaterloo.ca,,aimasters@vectorinstitute.ai,,,,2022-02-13T20:57:39.768Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/104121924-postdoctoral-positions-in-environmental-and-ecological-modelling-at-the-university-of-waterloo-canada-at-university-of-waterloo,,expired,2022-01-14T20:57:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, +1933064f-1426-45bf-b40e-4032b0187cec,108246186,CIBC,"Sr. Manager, AML",on_site,"Ontario, Canada",2022-02-09T10:03:03.620Z,"
                                                          +
                                                          +
                                                          +

                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                          +

                                                          +

                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                          +

                                                          +

                                                          To learn more about CIBC, please visit CIBC.com

                                                          +

                                                          +

                                                          Job Description

                                                          +

                                                          +

                                                          What You’ll Be Doing

                                                          +

                                                          +

                                                          Risk Analytics and Risk Modelling is responsible for the development of analytics to measure and optimize AML and credit risk performance. The AML Analytics team supports the development of AML risk strategy to deliver CIBC\'s client experience, risk management, and business growth objectives. Reporting to the Director, the Senior Manager, AML Analytics is responsible for independently leading and supporting the analytical requests of the AML compliance program and is responsible for the effectiveness of all AML data quality, accuracy and analytics.

                                                          +

                                                          +

                                                          +

                                                          How You’ll Succeed

                                                          +

                                                            -
                                                          • 5+ years of experience building sophisticated and automated production infrastructure
                                                          • -
                                                          • Solid Azure or AWS experience
                                                          • -
                                                          • Extensive experience with Kubernetes, docker and container orchestration
                                                          • -
                                                          • Experience with Saltstack or other configuration management
                                                          • -
                                                          • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                                                          • -
                                                          • Experience with managing CI/CD tools and pipelines
                                                          • -
                                                          • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                                                          • -
                                                          • Experience with Git, Jenkins and Elasticsearch
                                                          • -
                                                          • Strong verbal and written communication skills, with the ability to work effectively across teams
                                                          • -
                                                          • BA/BS degree or equivalent experience; Computer Science background preferred
                                                          • -
                                                          -

                                                          Nice-to-Have:

                                                          -
                                                            -
                                                          • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                                                          • -
                                                          • Familiarity with monitoring tools
                                                          • -
                                                          • Experience with automated testing tools
                                                          • -
                                                          • Experience troubleshooting and tuning systems performance
                                                          • -
                                                          • Knowledge of Java
                                                          • -
                                                          -

                                                          Benefits:

                                                          -
                                                            -
                                                          • Entrepreneurial and learning culture
                                                          • -
                                                          • Excellent health coverage and pension plan
                                                          • -
                                                          • Four weeks paid vacation
                                                          • -
                                                          • Catered lunches twice a week over machine learning talks
                                                          • -
                                                          ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-05-31T16:21:00.000Z,False,0,0,31,https://talenthub.vectorinstitute.ai/jobs/105062275-sr-devops-engineer-at-layer-6,,expired,2022-01-20T16:21:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, -646c27fd-1fc1-4349-81f2-af1b1a577ef0,121915908,Google,"Research Intern, BS, Fall 2022",on_site,"Toronto, ON, Canada",2022-04-21T17:08:04.208Z,"
                                                          -2022-04-18T14:02:05.568Z
                                                          -
                                                            -
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                                                          • -

                                                          Research Intern, BS, Fall 2022

                                                            -
                                                          • Google
                                                          • -
                                                          • In-office:
                                                            - Waterloo, ON, Canada -
                                                          • -
                                                          • + 1 more location
                                                          • -
                                                          -
                                                          -
                                                          -

                                                          Please complete your application before August 26th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                          -

                                                          NOTE: This internship is intended for students who are pursuing a BS degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                          -

                                                          To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                          Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                          -
                                                          -

                                                          Qualifications

                                                          -

                                                          Minimum qualifications:

                                                          -
                                                            -
                                                          • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                          • -
                                                          • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                          • -
                                                          -

                                                          Preferred qualifications:

                                                          -
                                                            -
                                                          • Currently attending a degree program in Canada.
                                                          • -
                                                          • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                          • -
                                                          • Experience as a researcher, including internships, full-time, or at a lab.
                                                          • -
                                                          • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                          • -
                                                          • Experience with one or more general purpose programming languages.
                                                          • -
                                                          • Ability to speak and write in English fluently.
                                                          • -
                                                          -
                                                          -
                                                          -
                                                          -

                                                          About the job

                                                          -

                                                          Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                          Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                          -

                                                          Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                          Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Responsibilities

                                                            -
                                                          • Develop and execute a research agenda.
                                                          • -
                                                          • Create and support a productive and innovative team, including working with peers, managers, and teams.
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                                                          Locations

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                                                          Map DataMap data ©2022 Google -
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                                                          Map data ©2022 Google
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                                                          Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                          -
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                                                          ",,"https://careers.google.com/jobs/results/119083051633255110-research-intern-bs-fall-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-05-25T15:07:34.324Z,False,0,4,40,https://talenthub.vectorinstitute.ai/jobs/121915908-research-intern-bs-fall-2022-at-google,,expired,2022-04-21T17:08:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,No Degree,New Posting, -762cd6cf-c65d-41cb-9747-e199992b3cd3,121938725,Accenture,Data Engineer Consultant,on_site,Ontario - Toronto,2022-04-21T22:46:12.444Z,"

                                                          Job Description

                                                          Data Engineer - Ingestion

                                                          -

                                                          -

                                                          Location: Toronto

                                                          -

                                                          -

                                                          Are you ready to step up and take your technology expertise to the next level?

                                                          -

                                                          -

                                                          There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                                          -

                                                          -

                                                          We are Accenture Cloud First

                                                          -


                                                          Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                                          Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                                          -

                                                          -

                                                          The Work

                                                          -


                                                          Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                                          - -


                                                          -

                                                          Qualifications

                                                          -

                                                          Who are we looking for?

                                                          -

                                                          -

                                                          3 year of experience in the following:

                                                          -
                                                            -
                                                          • Azure Data Factory
                                                          • -
                                                          • PySpark
                                                          • -
                                                          • Azure SQL
                                                          • -
                                                          • Azure Data Lake
                                                          • +
                                                          • +Quantitative Analytics Lead the quantitative analytical work based on model risks, business needs and regulatory requirements while fostering a continuous improvement culture. Demonstrate considerable knowledge and analytic capabilities through the development of quantitative data analysis and data mining solutions, emphasizing the development of database driven reports and analyses. Maintain a high level of competency in statistical and analytical principles, tools and techniques. Assesses data quality and potential impacts. +
                                                          • +
                                                          • +Technical / Data Modelling Skills Develop rules and models that continuously improve the effectiveness of the AML transaction monitoring systems and AML Sanction screening systems. Have the ability to translate business requirements to technical specifications for technology to implement, also have the ability to review and assess technology systems relative to business requirements. You have proven experience in the management of complex technology systems and testing and implementing changes to technological systems. You will also be required to support/participate in data quality efforts and the expansion of transaction monitoring coverage to new product types. +
                                                          -

                                                          -

                                                          Preferred Skills:

                                                          -

                                                          Certification: Azure Data Certification

                                                          -

                                                          Python

                                                          -
                                                          -
                                                          -
                                                          -
                                                          -

                                                          Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                          -
                                                          -

                                                          Equal Employment Opportunity Statement

                                                          -

                                                          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                          -

                                                          Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                          -

                                                          Requesting An Accommodation

                                                          -

                                                          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                          -

                                                          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                          -

                                                          Other Employment Statements

                                                          -

                                                          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                          -

                                                          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-25T15:09:19.481Z,False,0,1,28,https://talenthub.vectorinstitute.ai/jobs/121938725-data-engineer-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,expired,2022-04-21T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -b8b7dabf-5585-4e47-a9c7-307a9206570c,121832933,RBC,"Customer Insights, Data & Analytics Product Manager (Ownr)",on_site,"Toronto, ON, Canada",2022-04-21T12:53:06.864Z,"
                                                          -

                                                          Come Work with Us!

                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                          -

                                                          Job Title

                                                          Customer Insights, Data & Analytics Product Manager (Ownr)

                                                          -

                                                          -

                                                          Job Description

                                                          -

                                                          RBC Ventures is a new kind of business – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives – to move RBC ‘beyond banking’. We’re building a world-class organization focused on designing exceptional experiences, exploring new business models and creating exponential value. In 2020, we were named by Fast Company as one of the 100 Best Workplaces for Innovators and we’re looking for team members with the curiosity to explore, the capabilities to build and capacity to help us deliver our mission

                                                          -

                                                          -

                                                          What is the opportunity?

                                                          -

                                                          Ownr is seeking a talented, experienced and passionate Product Manager focused on customer insights, Data & Analytics to join our growing team. In this role you will work across the business to support and manage the execution of data-related products and projects to help drive our customer understanding and cross-functional capabilities. We are looking for vocal futurists who have a passion for technology and are inspired by the idea of bringing to life product roadmaps that benefit hundreds of thousands of people at a key milestone in their lives.

                                                          -

                                                          -

                                                          About Ownr

                                                          -

                                                          At Ownr, we have helped thousands of Canadians establish their businesses. As we redefine the entrepreneurship landscape, we take pride in simplifying what it takes to be a business owner. We\'re on a mission to become the leading platform for entrepreneurship in Canada, and it takes an entire team to build something big. So join our team and discover how we can help entrepreneurs make their dreams a reality.

                                                          -

                                                          -

                                                          What you will do

                                                          -
                                                            -
                                                          • Help set the product vision and strategy for data, analytics, and customer insights
                                                          • -
                                                          • Own the translation of business requirements, you will execute to deliver solutions that expand our data and analytics capabilities across multiple portfolios.
                                                          • -
                                                          • Design and conduct analyses using various techniques (developing frameworks, building dashboards, segmentation, modelling) to provide value for the stakeholders you support.
                                                          • -
                                                          • Responsible for creating and managing quality data products, processes and services to ensure growth and achievement of our business goals.
                                                          • -
                                                          • Understand our key drivers, customer use cases, and full user flow impact across all platforms.
                                                          • -
                                                          • Create, manage, and maintain KPI\'s to monitor, analyze and improve conversion
                                                          • -
                                                          • Lead the product planning and development process through backlog grooming, refinement, and prioritization activities
                                                          • -
                                                          • Define and detail User Stories and prioritize team backlogs in accordance to our business drivers.
                                                          • -
                                                          • Evaluate and document the requirements for each product feature, articulate these requirements, answer questions and make scope trade-off decisions as needed.
                                                          • -
                                                          • Ensure optimal delivery by removing barriers and obstacles that impact performance and develop contingency plans to demonstrate adaptability while supporting continuous learning.
                                                          • -
                                                          • Bridge technical, business and creative worlds, engaging with matrixed teams including development, UX/UI design, copy, legal, risk and compliance, creating a collaborative environment while maximizing on business return.
                                                          • -
                                                          • Drive internal stakeholders and cross-functional business unit engagements necessary for an optimal on-time launch.
                                                          • -
                                                          • Focus on backend functionality as well as user-facing features that make world-class user engaging platforms.
                                                          • -
                                                          -

                                                          -

                                                          Skills you\'ll need to succeed

                                                          -

                                                          Must have

                                                          -
                                                            -
                                                          • Minimum of 3 years of relevant experience in an analytical function (e.g. Business Analytics, Consulting).
                                                          • -
                                                          • Experience working as a Product Manager in a SaaS environment.
                                                          • -
                                                          • Proven work experience in data product management (growth-stage company experience a plus) and working with agile teams and organizations.
                                                          • -
                                                          • Experience translating business requirements to actionable software solutions.
                                                          • -
                                                          • In-depth knowledge of agile processes and principles, with the ability to provide direction to the agile team and stakeholders throughout.
                                                          • -
                                                          • Extensive experience developing use cases, epics and stories in a clear and concise manner, enabling the engineering team to deliver maximum productivity and value
                                                          • -
                                                          • Experience maintaining and prioritizing the backlog in accordance to business and technology drivers.
                                                          • -
                                                          • Experience in the planning of product releases and setting expectations for delivery of new functionality.
                                                          • -
                                                          • A Proven ability to make hard decisions in a fast-paced environment, while actively identifying and mitigating issues that have an impact on successful completion of goals.
                                                          • -
                                                          • Ability to speak to business functions, customers and partners with confidence and professionalism.
                                                          • -
                                                          • Commitment to winning as a team.
                                                          • -
                                                          • An entrepreneurial & innovative spirit
                                                          • -
                                                          -

                                                          -

                                                          Nice to have

                                                          -
                                                            -
                                                          • Experience with the development process, use of tools like GitHub
                                                          • -
                                                          • Experience using analytics tools such as: SQL, Amplitude, and Metabase
                                                          • -
                                                          -

                                                          -

                                                          What’s in it for you?

                                                          -

                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                          -
                                                            -
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                          • -
                                                          • Leaders who support your development through coaching and managing opportunities
                                                          • -
                                                          • Ability to make a difference and lasting impact
                                                          • -
                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                          • -
                                                          • A world-class training program in financial services
                                                          • -
                                                          • Flexible work/life balance options
                                                          • -
                                                          -

                                                          -

                                                          Launching and running a business can be daunting. But, at Ownr, we bring entrepreneurs closer to their dreams.

                                                          -

                                                          -

                                                          We have helped thousands of Canadians establish their businesses. As we redefine the entrepreneurship landscape, we take pride in simplifying what it takes to be a business owner. Our industry-leading tools, resources, and ongoing support make it as easy as possible for entrepreneurs to start and succeed.

                                                          -

                                                          -

                                                          -

                                                          VSPRODUCT

                                                          -

                                                          RBC Ventures

                                                          -

                                                          -

                                                          RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                          -

                                                          -

                                                          RBC exige, à titre de condition d\'emploi, que tous les candidats retenus aux États-Unis ou au Canada soient entièrement vaccinés contre la COVID-19 avant leur date d\'entrée en fonction. Il est possible qu\'ils aient à présenter une preuve vaccinale. Des mesures raisonnables d\'adaptation sont offertes lorsque la loi l\'exige

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Job Summary

                                                          -

                                                          Address:

                                                          TORONTO, Ontario, Canada

                                                          City:

                                                          CAN-ON-TORONTO

                                                          Country:

                                                          Canada

                                                          Work hours/week:

                                                          37.5

                                                          Employment Type:

                                                          Full time

                                                          Platform:

                                                          -

                                                          Job Type:

                                                          Regular

                                                          Pay Type:

                                                          Salaried

                                                          Posted Date:

                                                          2022-04-20-07:00

                                                          Application Deadline:

                                                          2022-06-30-07:00
                                                          -

                                                          Inclusion and Equal Opportunity Employment

                                                          -

                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                          ​​​​​​​
                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                          -
                                                          -

                                                          Join our Talent Community

                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                          -
                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000007944/Customer-Insights-Data-Analytics-Product-Manager-Ownr,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-25T15:05:31.438Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/121832933-customer-insights-data-analytics-product-manager-ownr-at-rbc,,expired,2022-04-21T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -6f4fd559-52a0-45f6-a2e9-d4fedc7add2d,125649732,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-05-16T21:06:07.327Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          -

                                                          -

                                                          Department Overview

                                                          -
                                                          -

                                                          The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                          The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                          -

                                                          The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO)

                                                          -
                                                          -

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          Reporting to the Senior Manager, the incumbent is accountable for EDGO Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                          -

                                                          Accountabilities Include:

                                                          +
                                                          • +Communication & Collaboration Manage relationships with technology partners and external vendors to ensure the systems supporting the program are operating effectively and efficiently. You have the ability to coordinate efforts within compliance teams as well as across multiple business units and possess excellent communication and interpersonal skills with the ability to interact with all levels of the organization +
                                                          +

                                                          +

                                                          Who You Are

                                                            -
                                                          • Coordinate the data processes and streams within the active Projects for existing and new data created;

                                                          • -
                                                          • Coordinate data governance & management activities across project/PODs and LOBs

                                                          • -
                                                          • Supports completion of the Data Impact Assessment throughout the project Life Cycle

                                                          • -
                                                          • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;

                                                          • -
                                                          • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;

                                                          • -
                                                          • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;

                                                          • -
                                                          • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;

                                                          • -
                                                          • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;

                                                          • -
                                                          • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;

                                                          • -
                                                          • Participate in Business Bank’s Segment Data Council meetings;

                                                          • -
                                                          • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;

                                                          • -
                                                          • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                          • +
                                                          • +You can demonstrate minimum 7 years’ experience in in analytics or technical fields, ideally in a financial services industry, or regulatory agency or law firm involving compliance issues. SQL programming and conducting data mining, query performance and tuning. You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling. +
                                                          • +
                                                          • +You ideally have strong knowledge of: AML regulations, OFAC laws, practices and economic sanctions, which may be enhanced via accreditation by ACAMS (Association of Certified Anti-Money Laundering Specialists), or similar certification, or become certified within first year of employment. It’s an asset if you have working knowledge of Customer Due Diligence and Transaction Monitoring modules and anti-fraud or compliance systems. +
                                                          • +
                                                          • +You have a degree/diploma in M.S. degree or above with emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields +
                                                          -
                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -

                                                          What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            -
                                                          • Sound knowledge of Data Life Cycle Management Requirements and processes

                                                          • -
                                                          • Experience working on data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;

                                                          • -
                                                          • Knowledge of Business Bank data and systems considered an asset;

                                                          • -
                                                          • Experience working on data integration/Conversion projects or large scale, complex technology projects using formal project delivery methodology;

                                                          • -
                                                          • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams

                                                          • -
                                                          • Excellent relationship management skills;

                                                          • -
                                                          • Excellent oral and written communication and presentation skills;

                                                          • -
                                                          • Strong organizational awareness;

                                                          • -
                                                          • Strong attention to detail and well-organized to manage large amounts of information and details

                                                          • -
                                                          • Superior negotiation and creative problem-solving skills

                                                          • +
                                                          • +You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                                          • +
                                                          • +You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what\'s possible.
                                                          • +
                                                          • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                          • +
                                                          • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                          • +
                                                          • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability. +
                                                          -
                                                          -

                                                          -

                                                          Additional Information

                                                          -
                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -

                                                          #LI-Hybrid

                                                          -
                                                          -

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          -

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T21:11:37.547Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/125649732-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e0a8a226-5a41-4c45-8eea-143131265376,125649734,TD Bank Group,Business Insights Analytics,on_site,"Toronto, ON",2022-05-16T21:06:07.778Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          -

                                                          -

                                                          Department Overview

                                                          -
                                                          -

                                                          TD Data Analytics & Reporting (DAR) Practice

                                                          -

                                                          -

                                                          What does TD DAR stand for?

                                                          -

                                                          As part of the TD Enterprise Data & Analytics team, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          -

                                                          -

                                                          TD DAR provides analytical thought leadership and strategic advice to enable our partners to make data-driven decisions. We support the firm’s strategic objective to leverage data and advanced analytical techniques to solve for complex business problems.

                                                          -
                                                          -

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          About this Role

                                                          -

                                                          As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights, and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                          -

                                                          -

                                                          In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering, and educating your peers to collaborate and bring TD into the future of banking.

                                                          -

                                                          -

                                                          -

                                                          -

                                                          As a Business Insights Analyst, you will:

                                                          +

                                                          +

                                                          What you need to know

                                                            -
                                                          • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives

                                                          • -
                                                          • Develop analysis to illustrate business trends and identify areas of business opportunities

                                                          • -
                                                          • Produce insights and recommend business actions to align with strategy and/or solve business problems

                                                          • -
                                                          • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners

                                                          • +
                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                          • +
                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                          • +
                                                          • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Job Location

                                                          Toronto-81 Bay, 29th Floor

                                                          Employment Type

                                                          Regular

                                                          +

                                                          Weekly Hours

                                                          37.5

                                                          Skills

                                                          +

                                                          Advanced Analytics, Predictive Analytics, Risk Analytics, Sanctions Screening, Transaction Monitoring
                                                          +
                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Manager--AML_2133252,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-10T20:57:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/108246186-sr-manager-aml-at-cibc,,expired,2022-02-09T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +83b4b341-c9e0-4328-8e52-5427fe5129a9,105944804,OMERS,Lead Data Scientist,on_site,"Ontario, Canada",2022-01-27T07:19:09.956Z,"
                                                          +
                                                          +
                                                          +

                                                          Why join us?

                                                          +

                                                          +

                                                          Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                          At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                          +

                                                          +

                                                          This is an exciting opportunity to join the stellar Oxford properties team to harness the power of our data to transform the company’s investment process, operational efficiency, and end user experience.

                                                          If you want a front row seat to reshaping the real estate industry, then this is the role for you. We are looking for a strategic mind capable of conceiving the art-of-the-possible, fused with the ability to creatively use data in order to solve sophisticated business problems.

                                                          As a best-in-class real estate organization, Oxford has an ambitious plan to develop and leverage digital & analytic capabilities across the real estate value chain across acquisition, development, operations, and disposition at a global scale.

                                                          Commercial Real Estate is a $200 Trillion industry that is larger than the public equities and bond market combined, and yet is only just being disrupted by technology.

                                                          +

                                                          +

                                                          As a member of this team, you will be responsible for:

                                                            -
                                                          • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships

                                                          • -
                                                          • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain

                                                          • -
                                                          • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise

                                                          • -
                                                          • Execute on data requests accurately and within a timely manner and provide day-to-day support and delivery of analytics

                                                          • -
                                                          • Work independently as the senior analyst/subject matter expert and may coach and educate others

                                                          • +
                                                          • Being part of the friendly Advanced Analytics team, working across all Oxford business groups to champion a data-driven decision-making culture
                                                          • +
                                                          • Using your business acumen and technical expertise to identify new opportunities to use data in order to meet key business objectives
                                                          • +
                                                          • Cultivating positive relationships amongst business partners and cross-functional delivery teams from conceptualization and experimentation to production and oversight
                                                          • +
                                                          • Delivering analytics and machine learning (ML) projects driving a number of key business outcomes, from fine-tuning investment decisions to data-driven products allowing us to better manage our buildings
                                                          • +
                                                          • Crafting and overseeing a range of analytical and ML models conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenance
                                                          • +
                                                          • Working closely with the data platforms team to integrate new data sources in your analysis as well as operationalizing models
                                                          • +
                                                          • Driving analytics innovation and develop thought leadership, redefining how data is used across the global real estate industry
                                                          +

                                                          +

                                                          To succeed in this role, you have:

                                                            -
                                                          • Considered an authority within a given area

                                                          • -
                                                          • Oversee and/or independently perform tasks from end to end

                                                          • -
                                                          • Build understanding of cloud infrastructure and advanced analytics capabilities

                                                          • +
                                                          • Experience as a curious, detail-orientated data scientist with a consistent track record in delivering analytical and ML projects in a commercial setting
                                                          • +
                                                          • 2-4 years’ experience working as a Data Scientist or Machine Learning Engineer
                                                          • +
                                                          • A proven grasp of the practical and theoretical aspects of statistical and ML such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and more
                                                          • +
                                                          • Strong Python programming skills and ability to write production grade code – Pandas, Numpy, scikit-learn essential
                                                          • +
                                                          • Excellent git skills
                                                          • +
                                                          • The ability to write performant SQL and have solid ETL/ELT experience
                                                          • +
                                                          • A solid understanding of Microsoft Azure Cloud, Azure DevOps & Azure ML Data Science stack
                                                          • +
                                                          • The ability to quickly build a solid understanding of the industry and competitive landscape to see opportunities for data-driven change
                                                          • +
                                                          • Excellent communication skills, with the ability to translate sophisticated analytical concepts to a non-data fluent audience
                                                          • +
                                                          • The ability to work your way through ambiguity as well as influence multiple technical and business partners
                                                          • +
                                                          • The ability to effectively prioritise requests and manage multiple competing stakeholders
                                                          -

                                                          -

                                                          Additional responsibility for L10 and L11 hiring

                                                          +

                                                          +

                                                          You will stand out if you have:

                                                            -
                                                          • Act as a lead for the project team in providing guidance on both technical matters as well as the business context of the analytical problems. Work autonomously as well as acting as a lead within a specialized business management function and provide work direction to others

                                                          • -
                                                          • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations

                                                          • -
                                                          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value

                                                          • -
                                                          • Formulate relevant and significant data analysis through comprehensive data engineering and profiling tools

                                                          • -
                                                          • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help effective risk management in the business

                                                          • +
                                                          • Experience with application development
                                                          • +
                                                          • Experience with framework such as TensorFlow, Keras, PyTorch and MxNet
                                                          • +
                                                          • Experience with different mapping libraries and tools like Kepler.gl, ArcGIS and Map Box
                                                          • +
                                                          • Experience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plus
                                                          • +
                                                          • Previous work experience in an agile-cross functional team applying product management and human centered design principles
                                                          • +
                                                          • Experience working in the financial sector or exposure to the real estate industry
                                                          • +
                                                          • An active participation in the data science community via hackathons, meetups, Kaggle competitions etc.
                                                          -
                                                          • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Our story:

                                                          +

                                                          Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                          +

                                                          +

                                                          For more information on Oxford, visit www.oxfordproperties.com

                                                          +

                                                          +

                                                          +

                                                          +

                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                          +

                                                          +

                                                          +

                                                          Vaccination Policy

                                                          +

                                                          +

                                                          At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -

                                                          What can you bring to TD?

                                                          -

                                                          Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                          -
                                                            -
                                                          • Strong ownership mentality, proactive attitude, and ability to get things done

                                                          • -
                                                          • Work collaboratively with business leaders and technical experts to conceptually understand business problems to inform analyses

                                                          • -
                                                          • Exercise critical thinking and judgement to determine the appropriate analytical solution (e.g. segmentation, Markov Chain analyses, probabilistic forecasting, decision trees, etc.) and/or identify actionable opportunities to improve Enterprise & Client outcomes

                                                          • -
                                                          • Ability to work with large and complex data sets, fluency in SQL

                                                          • -
                                                          -
                                                            -
                                                          • Strong oral & written communication skills; ability to distill the most salient results of an analyses and convey insights and implications to business leaders

                                                          • -
                                                          • Hands-on experience with advanced dashboarding and visualization (e.g., Tableau), an asset

                                                          • -
                                                          • Working knowledge of Python or R

                                                          • -
                                                          • The right person will have strong business sense and will demonstrate critical thinking and structured problem-solving skills

                                                          • -
                                                          • Strong verbal and written communications skills are a must

                                                          • -
                                                          -
                                                            -
                                                          • Being detail oriented with excellent analytical, quantitative, and investigative skills

                                                          • -
                                                          • Ability to multi-task and work independently in a fast-paced, dynamic environment

                                                          • -
                                                          • Comfortable in a team environment with changing priorities

                                                          • -
                                                          • Highly motivated with ability to work independently, and drive results; a self-starter

                                                          • -
                                                          • Understanding/Experience of Salesforce is an advantage

                                                          • -
                                                          +
                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Lead-Data-Scientist_JR-2415,feed-importer@jobboard.io,,,,2022-02-10T07:25:43.065Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/105944804-lead-data-scientist-at-omers,,expired,2022-01-27T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +de5bfdc6-eda0-40e8-b211-024372d718e3,106493952,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-01-31T10:03:05.824Z,"
                                                          +
                                                          +
                                                          +

                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                          +

                                                          +

                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                          +

                                                          +

                                                          To learn more about CIBC, please visit CIBC.com

                                                          +

                                                          +

                                                          Job Description

                                                          +

                                                          +

                                                          What You’ll Be Doing

                                                          +

                                                          +

                                                          As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                                          +

                                                          +

                                                          How You’ll Succeed

                                                            -
                                                          • Hands-on experience with statistical modeling and machine learning including NLP, an asset

                                                          • -
                                                          • Data visualization and storytelling in Tableau.

                                                          • -
                                                          • Experience in Financial Services / Wealth Management business is an advantage

                                                          • -
                                                          • Undergraduate degree or technical certificate

                                                          • -
                                                          • Five (5) or more years relevant experience

                                                          • +
                                                          • +Business Analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.
                                                          • +
                                                          • +Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.
                                                          • +
                                                          • +Project planning and execution - As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.
                                                          -
                                                          • Advanced degrees in MMA/MBAn and/or STEM, an asset

                                                          -

                                                          -

                                                          Additional requirements for L10 and L11 hiring

                                                          +

                                                          +

                                                          Who You Are

                                                            -
                                                          • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)

                                                          • -
                                                          • Experience with creating complex Tableau dashboards considered an asset

                                                          • +
                                                          • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                          • +
                                                          • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents
                                                          • +
                                                          • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                          • +
                                                          • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                          • +
                                                          • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.
                                                          • +
                                                          • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                          -
                                                          • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

                                                          -
                                                          -

                                                          -

                                                          Additional Information

                                                          -
                                                          Note: We are hiring for multiple roles and seniority levels.
                                                          #businessIntelligence
                                                          #LI-Hybrid

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                                                          Hours

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                                                          37.5
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                                                          Inclusiveness

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                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

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                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T21:11:37.547Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/125649734-business-insights-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -e974c0b2-3eba-4740-b82e-9bb470482ffd,125649730,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-05-16T21:06:06.834Z,"
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                                                          Company Overview

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                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

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                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

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                                                          Department Overview

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                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

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                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

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                                                          Job Description

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                                                          About this Role

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                                                          You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

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                                                          We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

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                                                          As the Manager, Analytics & Insights you will:

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                                                          • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
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                                                          • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
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                                                          • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
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                                                          • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
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                                                          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
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                                                          • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
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                                                          • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
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                                                          • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
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                                                          • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
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                                                          • Collaborate with business partners to shape and prioritize ad hoc analysis
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                                                          • Set operational team direction, working in partnership to execute on common goals
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                                                          • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
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                                                          • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
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                                                          • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
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                                                          • Manage workload of analytics team; assigning data request to staff based on skills and development needs
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                                                          • Support execution with excellence on key initiatives/programs
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                                                          • Design effective test and learn for various programs or scenarios
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                                                          • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
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                                                          • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
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                                                          • Present insights back to executive leaders / business partners to drive strategic improvement
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                                                            +

                                                            What CIBC Offers

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                                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

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                                                            • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
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                                                            • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
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                                                            • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
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                                                            • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
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                                                          Requirements

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                                                          -What can you bring to TD?

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                                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

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                                                          What you need to know

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                                                          • Undergraduate degree or technical certificate
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                                                          • Seven (7) or more years relevant experience
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                                                          • Hands on experience in Python/PySpark, and SQL is a must
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                                                          • Experience in modeling (ML algorithms) is highly preferred
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                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

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                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

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                                                          • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

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                                                          Job Location

                                                          Toronto-CC East 12th Floor

                                                          Employment Type

                                                          Regular

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                                                          Weekly Hours

                                                          37.5

                                                          Skills

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                                                          -

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          -

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/14986094/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T13:22:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/125649730-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14986094/manager-analytics-insights-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -791fa9b8-7359-4207-af05-21ff0c446707,126845246,TELUS,Data Engineer,on_site,"Ontario, Canada",2022-05-23T07:35:06.607Z,"
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                                                          -

                                                          Description

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                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2133645,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-02-14T10:08:06.988Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/106493952-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-01-31T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +747e261b-14be-4914-9a40-191081fa4db2,104404504,BenchSci,Senior Machine Learning Engineer - NLP (Remote),on_site,"Toronto, Ontario /",2022-01-16T05:00:13.001Z,"
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                                                          BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                          +

                                                          +
                                                          We are seeking a Senior Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.
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                                                          Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to design and build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
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                                                          You will:

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                                                            • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
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                                                            • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
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                                                            • Continuously improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
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                                                            • Drive design discussions, apply best practices, diagnose problems and lead the resolution
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                                                            • Own the solutions and long-term technical investments that will drive innovation at BenchSci
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                                                            • Work cross-functionally with different stakeholders including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
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                                                            • Participate and contribute to sprint planning, estimation, and design/code reviews
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                                                            • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
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                                                            • Establish and apply best industry practices
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                                                          You have:

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                                                            • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
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                                                            • Strong experience with Python and programming fundamentals
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                                                            • Extensive experience with NLP and PyTorch
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                                                            • Experience with designing, building, and evaluating robust and scalable production-ready ML models
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                                                            • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
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                                                            • Experience with data manipulation and processing, such as SQL or pandas
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                                                            • A growth mindset and a constant desire to learn
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                                                            • Strong cross-team communication and collaboration skills
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                                                          Nice to haves, but not mandatory qualifications:

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                                                            • Research publications in ML/AI-related fields
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                                                            • Experience working with cloud environments and services
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                                                            • Experience with computer vision
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                                                            • A degree in Computer Science, Mathematics, or other closely-related disciplines
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                                                          What BenchSci will provide you with:

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                                                            • Remote first culture to allow you to work from your preferred location
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                                                            • On-site Ph.D. scientists that give expert feedback on models
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                                                            • Fresh datasets that are custom curated and constantly updated
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                                                            • One-on-one coaching and investment in your personal and professional growth
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                                                            • Empowerment to own your solutions
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                                                          Benefits and Perks:
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                                                          An engaging remote-first culture that hires the best talent from around the world
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                                                          A competitive compensation package that includes BenchSci equity options
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                                                          Comprehensive health and dental benefits with an emphasis on mental health
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                                                          An annual Executive Health Assessment at Medcan for proactive health awareness
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                                                          Three weeks of vacation plus an additional day for every completed year
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                                                          Generous parental leave benefits with a top-up plan or paid time off options
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                                                          Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
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                                                          A $1000 work from home allowance to make your home setup perfect for you
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                                                          An Oculus Quest 2 to connect with your team members in Virtual Reality
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                                                          An executive coach for managers to assist in leading high-performing teams
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                                                          Complimentary Headspace account to support mental wellness and focus
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                                                          Complimentary genome sequencing from 23andMe to better understand your health through your DNA
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                                                          +
                                                          Our Culture:
                                                          +
                                                          We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
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                                                          +
                                                          Diversity, Equity and Inclusion:
                                                          +
                                                          We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                          +

                                                          +
                                                          Accessibility Accommodations:
                                                          +
                                                          BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                          +

                                                          +
                                                          #LI-Remote
                                                          +
                                                          ",,https://jobs.lever.co/benchsci/aef83e91-7fa8-43fc-bedc-bca702bf6a3e?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-02-16T16:43:58.970Z,False,0,0,21,https://talenthub.vectorinstitute.ai/jobs/104404504-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/aef83e91-7fa8-43fc-bedc-bca702bf6a3e,expired,2022-01-16T05:00:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +f709631a-e864-426a-9b2c-66f4a7046314,104380332,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2022-01-16T02:43:07.717Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Multiple Locations, Canada
                                                          All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

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                                                          Join our team

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                                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

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                                                          We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

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                                                          Here’s the impact you’ll make and what we’ll accomplish together

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                                                          The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

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                                                          Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

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                                                          Here’s how

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                                                          • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
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                                                          • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
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                                                          • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
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                                                          • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
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                                                          • Capture issues with the data that impact key business drivers and relay them to the product management teams
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                                                          • Support the data pipelines feeding into our machine learning algorithms and models
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                                                          • Assist the extracting, loading, transforming, cleaning, and validating of data
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                                                          Our Purpose

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                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

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                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Partner with clients to solve their most complex problems
                                                          Uncover the possibilities of AI in your career and set the foundation for success tomorrow

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                                                          Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

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                                                          Qualifications

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                                                          What will your typical day look like?

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                                                          You\'re the missing piece of the puzzle

                                                          -

                                                          -
                                                            -
                                                          • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
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                                                          • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
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                                                          • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
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                                                          • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
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                                                          • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
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                                                          • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
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                                                          • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
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                                                          Nice-to-haves

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                                                          • GCP Professional Data Engineering certification
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                                                          • Google Cloud Dataflow and Google BigQuery experience
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                                                          • DevOps practices and tools experience
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                                                          • Orchestration and job scheduling platforms experience
                                                          • +

                                                            As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                                            You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                                            +

                                                            Specifically, you will:

                                                            +
                                                            • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                                            • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                            • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                                            • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.

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                                                            #DSEjobs

                                                          -
                                                          ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2022-05-26T07:40:14.615Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/126845246-data-engineer-at-telus,,expired,2022-05-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -4fc68e20-e996-4c0f-943e-7d4b1bd4e0f3,128338078,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-05-31T05:06:06.133Z,"

                                                          +
                                                          +

                                                          About the team

                                                          +

                                                          +

                                                          Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          +


                                                          Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

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                                                          +
                                                          +
                                                          +

                                                          Enough about us, let’s talk about you

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                                                          +

                                                          You are someone with:
                                                          • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                                          • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                                          • 5+ years of technology consulting or industry experience in data & analytics delivery
                                                          • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                                          • Effective communicator that can explain complex technical concepts to executives and business leaders

                                                          -

                                                          Requisition ID: 150724

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          +

                                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          +


                                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

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                                                          +
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                                                          The world is changing faster than ever and so are we!

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                                                          -

                                                          Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

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                                                          Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

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                                                          -

                                                          What Are We Looking For?

                                                          -

                                                          We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                          -

                                                          -

                                                          To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                          -

                                                          -

                                                          We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                          -

                                                          -

                                                          Make an Impact

                                                          -

                                                          As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                                          -

                                                          -

                                                          You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                          -

                                                          -

                                                          Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                          -

                                                          -

                                                          Is This Role Right for You?

                                                          -
                                                          • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                          • You are both deeply curious and highly pragmatic
                                                          • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                          • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                                          • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                                          • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                          • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                                          • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                          • You are committed to quality in everything you do – statistically, process and governance wise
                                                          • You look forward to sharing your insights through high-quality verbal & written communications
                                                          • You are professional, motivated AND FUN. We mean it.
                                                          • -
                                                          -

                                                          -

                                                          Sample projects that you might work on include:

                                                          -
                                                          • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                                          • Prepare attribution and/or stock-flow analysis of product portfolios
                                                          • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                                          • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                                          • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                                          • Identify, promote and lead process improvements for model development and monitoring
                                                          • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                          • -
                                                          -

                                                          -

                                                          What Do You Need to Succeed?

                                                          -

                                                          General

                                                          -
                                                          • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                          • A demonstrated history of analytic problem solving and sound judgment
                                                          • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                          • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                          • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                          • -
                                                          -

                                                          -

                                                          Technical

                                                          -
                                                          • Strong fundamental understanding of statistics
                                                          • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                          • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                          • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                          • Knowledge about credit risk models / scorecards
                                                          • -
                                                          -

                                                          -

                                                          What’s in It for You?

                                                          -
                                                          • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                          • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                          • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                          • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                          • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                          • +

                                                            Our shared values

                                                            +

                                                            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                            +

                                                            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                            +

                                                            Every day, we live our Purpose through the following five shared values:

                                                            +
                                                            • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                            • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                            • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                            • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                            • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                            -

                                                            -

                                                            This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-07T05:11:08.264Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/128338078-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-05-31T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -053f69ab-23d2-4885-8970-1824ad7c42a2,133300176,TELUS,Lead Data Scientist - TELUS Insights,on_site,"Ontario, Canada",2022-06-23T07:35:07.024Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -

                                                          -

                                                          The IoT Industry Solutions team is ""start-up"" within TELUS that is focused on building end-to-end customer solutions that combine the strengths of our networks, leading SaaS and platform partnerships, our breadth of customer relationships, and the power of data insights. We own the success of focused vertical and horizontal IoT solutions across Intelligent Mobility, Connected Workers, Smart City, Agriculture, and Health.

                                                          We\'re passionate about building new business areas for TELUS and will succeed by bringing clarity and focus to the challenge.

                                                          About the team

                                                          This role is part of the Data and Applied Intelligence team within IoT Industry Solutions. We are a provider of data, insights and data science services to commercial and government organizations. Our product solves many business problems across a wide variety of industries. They are currently being used in Tourism, Commercial Real Estate, Transportation and many other industries to help decision makers plan their next course of action or analyze their historical activities. We are a fun group of individuals, who are really passionate about our products and committed to provide quality solutions to our customers.

                                                          About the role

                                                          -

                                                          +



                                                          The next step is yours

                                                          +

                                                          Sound like The One Firm. For You? Apply by [insert date].

                                                          +

                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                          +

                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                          +

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-16T16:37:46.391Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/104380332-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2022-01-16T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +931002f2-591f-4f17-82cb-99cf3e76fe13,104404506,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2022-01-16T05:00:13.453Z,"
                                                          +
                                                          About Us
                                                          +
                                                          Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.
                                                          +

                                                          +
                                                          Ideal Candidate
                                                          +
                                                          Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                                          +
                                                          +
                                                          +

                                                          What You’ll Be Doing:

                                                          +
                                                              +
                                                            • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                            • +
                                                            • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                            • +
                                                            • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                            • +
                                                            • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                                            • +
                                                          +
                                                          +
                                                          +

                                                          What You Bring:

                                                          +
                                                              +
                                                            • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                            • +
                                                            • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                            • +
                                                            • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                            • +
                                                            • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                            • +
                                                            • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                            • +
                                                            • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                            • +
                                                          +
                                                          +
                                                          +

                                                          What we offer:

                                                          +
                                                              +
                                                            • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                            • +
                                                            • A highly competitive salary and meaningful equity compensation.
                                                            • +
                                                            • Exceptional opportunities for learning and growth.
                                                            • +
                                                            • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                                            • +
                                                          +
                                                          +
                                                          +
                                                          +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                          +

                                                          +
                                                          Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                          +
                                                          ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2022-02-16T16:41:12.780Z,False,0,13,77,https://talenthub.vectorinstitute.ai/jobs/104404506-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2022-01-16T05:00:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +c42f1d7b-6ec0-43c6-a62f-27d04e214c2f,104592042,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-01-18T07:19:03.724Z,"

                                                          About the role

                                                          +

                                                          Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                          +

                                                          Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                          +

                                                          +

                                                          Qualifications

                                                            +
                                                          • 7-10 years of commercial experience in a data science role solving high impact business problems
                                                          • +
                                                          • You have well built technical experience that inspires individual contributors creativity and innovation.
                                                          • +
                                                          • You have experience with product leadership and technical decision making.
                                                          • +
                                                          • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                                          • +
                                                          • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                                          • +
                                                          • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                                          • +
                                                          • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                                          • +
                                                          • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                          • +
                                                          +

                                                          What would be great if you have:

                                                            -
                                                          • Design and build large and complex data sets, from spurious sources while thinking strategically about uses of data and how data use interacts with data design
                                                          • -
                                                          • Design and implement statistical data quality procedures for new data sources
                                                          • -
                                                          • Develop algorithms/software for accessing and handling data appropriately
                                                          • -
                                                          • Implement and hand off data checking and updating procedures to teams
                                                          • -
                                                          • Lead the new product developments for the TELUS Insights portfolio and product enhancements for existing location intelligence products
                                                          • -
                                                          • Scale the current custom consulting projects to a generalized product that could be reused for multiple clients across multiple verticals
                                                          • -
                                                          • Develop and implement ML & AI and Big Data solutions including predictive modeling,forecasting and classification
                                                          • -
                                                          • Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization
                                                          • -
                                                          • Train others on what data is available and how to use various sources
                                                          • -
                                                          • Communicate findings to business leaders in a way that can influence how an organization approaches a business challenge
                                                          • -
                                                          • Support and evolve the TELUS Insights product roadmap by leveraging customer insights, industry research, best practices, and emerging tools/technology
                                                          • -
                                                          • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                          • -
                                                          • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                          • +
                                                          • Previous experience using Spark.
                                                          • +
                                                          • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                                          • +
                                                          • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.

                                                          -

                                                          -
                                                          -

                                                          Qualifications

                                                          -
                                                          -

                                                          -

                                                          You\'re the missing piece of the puzzle

                                                          -

                                                          +
                                                          +

                                                          All your information will be kept confidential according to EEO guidelines.

                                                          +

                                                          If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                          +

                                                          #LI-REMOTE

                                                          +

                                                          Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                          +

                                                          Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                          +

                                                          At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                          How we hire

                                                          At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                          Learn more about our hiring process +
                                                          +
                                                          +
                                                          +
                                                          ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-02-19T15:49:54.393Z,False,0,0,15,https://talenthub.vectorinstitute.ai/jobs/104592042-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-01-18T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Bachelors Degree,New Posting, +e064e3d5-90b0-4a02-b80c-e190a9b630a2,107889008,Sun Life Financial,"Director, Data Science (Machine Learning)",on_site,"Ontario, Canada",2022-02-07T06:50:16.606Z,"
                                                          +
                                                          +
                                                          +

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          +

                                                          +

                                                          +

                                                          Job Description:

                                                          +

                                                          +

                                                          Role Summary

                                                          +

                                                          +

                                                          As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                                          +

                                                          +

                                                          Reporting to the AVP, Innovation and Analytics, the Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will hire and lead a high-performing team of data scientists and provide thought leadership on the application of advanced analytics to business problems. This role currently has two (2) direct reports.

                                                          +

                                                          +

                                                          The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a hands-on mentality and passion for leveraging data to drive business outcomes.

                                                          +

                                                          +

                                                          What will you do?

                                                            -
                                                          • You have 5+ years of experience working with large temporal geospatial datasets
                                                          • -
                                                          • MSc. or PhD/Research in Computer Science, Statistics, Geospatial etc.
                                                          • -
                                                          • You possess deep expertise in location intelligence/ Geospatial data
                                                          • -
                                                          • Working with structured and unstructured data sets
                                                          • -
                                                          • Excellent skills working with complex SQL and Spark
                                                          • -
                                                          • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                          • -
                                                          • Experience building and architecting API endpoints
                                                          • -
                                                          • Experience working with telecom background is a plus
                                                          • -
                                                          • Experience working with cloud environments like GCP
                                                          • -
                                                          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                          • -
                                                          • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                          • -
                                                          • Evaluating and providing input on potential business intelligence solutions.
                                                          • -
                                                          • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                          • -
                                                          • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                          • -
                                                          • Well versed in software development lifecycle and ML Ops concepts; Developing end-end to models/ projects and automation in production environment.
                                                          • -
                                                          • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, classification, regression, clustering, NLP, time series forecasting, etc. ""Tensorflow”, “Deep Learning” and synthetic tabular data generation is a strong asset
                                                          • +
                                                          • Hire and lead a team of data scientists to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                                          • +
                                                          • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                                          • +
                                                          • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                                          • +
                                                          • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                                          • +
                                                          • Coach and grow a high-performing team of data scientists with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                                          -

                                                          -

                                                          Great-to-haves

                                                          -

                                                          +

                                                          +

                                                          What do you need to succeed?

                                                            -
                                                          • PhD in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                          • -
                                                          • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                          • -
                                                          • Data environments experience: MS SQL, Oracle
                                                          • -
                                                          • Experience using Google Workspace
                                                          • -
                                                          • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                          • +
                                                          • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                                          • +
                                                          • 6+ years of industry experience with 4+ years leading data science projects with hands-on experience building and deploying statistical / machine learning models

                                                          • +
                                                          • 3+ years experience in managing a team of data scientists

                                                          • +
                                                          • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                                          • +
                                                          • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                                          -

                                                          -

                                                          MBIOT22 #LI-HYBRID #LI-rEMOTE

                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Toronto-Lead-Data-Scientist-TELUS-Insights-ON/560575617/,feed-importer@jobboard.io,,,,2022-07-23T20:34:00.558Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133300176-lead-data-scientist-telus-insights-at-telus,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Team Lead,Masters Degree,New Posting, -f2dd4e59-48b2-457e-b6fd-1491698ba54a,133300175,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-23T07:35:06.948Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -


                                                          Join our team and what we\'ll accomplish together

                                                          -

                                                          -

                                                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                          -


                                                          We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                          -


                                                          Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                          -

                                                          You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                          -


                                                          Here\'s how

                                                          -

                                                          -
                                                            -
                                                          • Lead the iterative development, validation, and deployment of AI/ML models
                                                          • -
                                                          • Collaborate on end-to-end automation efforts required to bring models to production
                                                          • -
                                                          • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                          • -
                                                          • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                          • -
                                                          • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                                          • -
                                                          • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                          • -
                                                          • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                          • -
                                                          • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                          • -
                                                          -
                                                          -
                                                          -
                                                          -

                                                          Qualifications

                                                          -
                                                          -


                                                          What you bring

                                                          -

                                                          -
                                                            -
                                                          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                          • -
                                                          • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                                          • -
                                                          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                          • -
                                                          • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                          • -
                                                          • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                          • -
                                                          • You possess advanced knowledge in SQL and distributed computing
                                                          • -
                                                          • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                          • -
                                                          • You are well versed in software and AI development lifecycles, including ML Ops
                                                          • -
                                                          • You are agile and have a bias for action, removing roadblocks to get results fast
                                                          • -
                                                          -

                                                          -

                                                          Great-to-haves

                                                          -

                                                          -
                                                            -
                                                          • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                          • -
                                                          • Experience with agile methodology and work in a start-up environment
                                                          • -
                                                          • GCP or other cloud certifications
                                                          • -
                                                          • Experience with Bayesian / Belief Networks, and Causal Inference
                                                          • -
                                                          • Back end/API development experience
                                                          • -
                                                          -

                                                          #DSEjobs

                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-23T20:33:25.530Z,False,0,7,32,https://talenthub.vectorinstitute.ai/jobs/133300175-data-scientist-at-telus,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -8fe53505-73b2-4e60-bd92-07186436b0b5,137965402,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-07-18T21:07:14.922Z,"
                                                          +

                                                          +

                                                          What will be nice to have?

                                                          +
                                                            +
                                                          • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                                          • +
                                                          • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                                          • +
                                                          • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                                          • +
                                                          • Experience with data analytics and data visualization best practices

                                                          • +
                                                          +

                                                          +

                                                          What’s in it for you?

                                                          +
                                                            +
                                                          • Competitive salary and bonus structure influenced by market range data

                                                          • +
                                                          • 20 days vacation per year and an innovative sabbatical program

                                                          • +
                                                          • A friendly, collaborative and inclusive culture in a hybrid, remote environment

                                                          • +
                                                          • Being part of our Analytics community, where we share best practices and broaden skill sets

                                                          • +
                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                          • +
                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                          • +
                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                          • +
                                                          +

                                                          +

                                                          +

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          +

                                                          +

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          +

                                                          +

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          +

                                                          +

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          +

                                                          +

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          +

                                                          +

                                                          Salary Range:

                                                          104,000/104 000 - 171,700/171 700

                                                          +

                                                          Job Category:

                                                          Advanced Analytics

                                                          +

                                                          Posting End Date:

                                                          20/02/2022
                                                          +
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-02-21T07:02:13.729Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/107889008-director-data-science-machine-learning-at-sun-life-financial,,expired,2022-02-07T06:50:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +a7b6ecca-566e-4dd1-aebf-e1f1bcf085ce,107305629,TD Bank Group,Sr. Business Insights Analyst (Fraud Strategy),on_site,"Markham, ON",2022-02-03T20:33:05.456Z,"

                                                          Company Overview

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          @@ -32280,64 +29312,79 @@ f2dd4e59-48b2-457e-b6fd-1491698ba54a,133300175,TELUS,Data Scientist,on_site,"Ont

                                                          Department Overview

                                                          -

                                                          Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                          -

                                                          NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                          -

                                                          Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                          +

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                          +

                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          Job Description

                                                          -

                                                          Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                          -

                                                          If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                          -

                                                          As a Business Information Management Data Practitioner, you will:

                                                          +

                                                          About this Role

                                                          +

                                                          As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                          +

                                                          In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                          +

                                                          As a Senior Business Insights Analyst, you will:

                                                          +

                                                          This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                            -
                                                          • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                          • -
                                                          • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                          • -
                                                          • Engage in business and data requirements to develop complete business solutions
                                                          • -
                                                          • Design and implement complex business data information management frameworks
                                                          • -
                                                          • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                          • -
                                                          • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                          • -
                                                          • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                          • +
                                                          • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                          • +
                                                          • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                          • +
                                                          • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                          • +
                                                          • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                          • +
                                                          • understand and actively managing the operational impacts of our fraud defense strategies
                                                          +

                                                          The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                          Requirements

                                                          -

                                                          Potential Candidates interested in this role should have:

                                                          +What can you bring to TD?

                                                          +

                                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            -
                                                          • Undergraduate degree or technical certificate in a relevant field
                                                          • -
                                                          • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                          • -
                                                          • Experience in data programming languages, patterns and design principles
                                                          • -
                                                          • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                          • -
                                                          • Expertise in data storage and movement, including relational and big data
                                                          • -
                                                          • Strong analytical and problem-solving skills
                                                          • -
                                                          • In-depth knowledge of competitor and market trends
                                                          • -
                                                          • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                          • -
                                                          • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                          • -
                                                          • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                          • -
                                                          • Act as a brand champion for our business area / function and TD, both internally and externally
                                                          • +
                                                          • Undergraduate degree or technical certificate
                                                          • +
                                                          • Five (5) or more years relevant experience
                                                          • +
                                                          • Data Analytics/Data Science
                                                          • +
                                                          • Python /SQL/SAS
                                                          • +
                                                          +

                                                          Nice to Have
                                                          Fraud background.

                                                          +
                                                            +
                                                          • Machine Learning experience and understanding of different ML methods with proven production track record
                                                          • +
                                                          • Automation experience to replace complicated processes with end to end solutions
                                                          • +
                                                          • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                          • +
                                                          • Demonstrated analytical, modeling and problem solving skills
                                                          • +
                                                          • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                          • +
                                                          • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                          • +
                                                          • Ability to take initiative and work independently under tight timelines
                                                          • +
                                                          +
                                                            +
                                                          • Ability to work collaboratively and build relationships
                                                          • +
                                                          • Ability to effectively manage multiple projects and priorities simultaneously
                                                          +
                                                          • Motivated to constantly strive to find innovative ways to enhance capabilities

                                                          Additional Information

                                                          -Data engineering:

                                                          +Fraud Management

                                                            -
                                                          • Degree in Computer Science
                                                          • -
                                                          • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                          • +
                                                          • Accountable for fraud loss targets and the customer experience
                                                          • +
                                                          • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                          • +
                                                          • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                          • +
                                                          • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                          • +
                                                          • Supports case valuation and prioritization to optimize fraud management
                                                          • +
                                                          • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                          • +
                                                          • Provide ad-hoc analysis to support decision-making at the executive level
                                                          • +
                                                          • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                          • +
                                                          • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                          • +
                                                          • Produce timely diagnostics to identify system, strategy and operational issues
                                                          • +
                                                          • Participates in defect analysis to identify and remediate coverage gaps
                                                          -

                                                          #dataengineer #LI-Hybrid

                                                          -

                                                          Locations:

                                                          +

                                                          Partner Support

                                                            -
                                                          • Toronto
                                                          • -
                                                          • Montreal
                                                          • -
                                                          • Markham
                                                          • -
                                                          • London
                                                          • -
                                                          • Ottawa
                                                          • -
                                                          • New Jersey, USA
                                                          • -
                                                          • Delaware, USA
                                                          • +
                                                          • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                          • +
                                                          • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                                          • +
                                                          • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                          • +
                                                          • Support the continuous improvement agenda for our operational partners
                                                          • +
                                                          • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                          • +
                                                          • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                                                          -
                                                          * L7- L10

                                                          Hours

                                                          @@ -32346,98 +29393,60 @@ f2dd4e59-48b2-457e-b6fd-1491698ba54a,133300175,TELUS,Data Scientist,on_site,"Ont

                                                          Inclusiveness

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-25T21:12:07.077Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/137965402-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-07-18T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -ed4b7f61-ff4c-46ae-a417-455409cf333a,136786592,RBC,Lead Software Engineer (Emerging Technologies Solutions),on_site,"Toronto, ON, Canada",2022-07-12T13:52:43.875Z,"

                                                          Come Work with Us!

                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                          -

                                                          Job Title

                                                          -

                                                          Lead Software Engineer (Emerging Technologies Solutions)

                                                          -

                                                          -

                                                          -

                                                          Job Description

                                                          -

                                                          What is the opportunity?

                                                          -

                                                          -

                                                          We are looking for an enthusiastic Lead Software Engineer who is excited by the opportunity of being at the forefront of technology, working on extremely innovative and challenging problems, and creating new solutions for our business partners. We have the freedom to try emerging technologies and applications, test, fail fast, learn, pivot and go again. We have the privilege to drive the leading edge of innovation and build things into existence or improve what is already here.

                                                          -

                                                          -

                                                          As a Lead Software Engineer, you will help guide the team in creating first-level experiments and building proof-of-concept applications using technologies such as Artificial Intelligence, Machine Learning, and Natural Language Processing among others.

                                                          -

                                                          -

                                                          The ideal candidate for this role would have a broad technical background, from front-end to back-end expertise as well as experience building applications that integrate machine-learning models and vendor solutions. Above all, the ideal candidate would enjoy learning new technologies while building things on the go.

                                                          -

                                                          -

                                                          -

                                                          What will you do?

                                                          -
                                                            -
                                                          • Help guide the team and provide technical expertise on developing code that is in line with strategic initiatives, as well as develop, troubleshoot, enhance, and document components, as per requirements and detailed design according to RBC procedures and processes.
                                                          • -
                                                          • Participate and lead brainstorming sessions to identify and architect solutions
                                                          • -
                                                          • Collaborate with other T&O and business teams to converge on the best solutions for conducting first-level experiments and proof of concepts.
                                                          • -
                                                          • Work in an Agile lab environment, delivering code, automation deployments, and rapid prototype demonstrations on a bi-weekly basis.
                                                          • -
                                                          • Create and review technical documentation, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects
                                                          • -
                                                          -

                                                          -

                                                          -

                                                          What do you need to succeed?

                                                          -

                                                          -

                                                          Must have

                                                          -

                                                          -
                                                            -
                                                          • Bachelor’s Degree or Master's degree in Computer Engineering, Computer Science, or related STEM degree with proven track record of delivering technology and innovative solutions.
                                                          • -
                                                          • Solid understanding of modern software development life cycle and CI/CD tooling.
                                                          • -
                                                          • Proficiency in Python, Java, Angular, React, Node, JavaScript, Shell scripting, or any other front-end and back-end tools.
                                                          • -
                                                          • Experience working with cloud-based applications, restless APIs, and micro services, including familiarity with Docker, Kubernetes, OpenShift, AWS, Google Cloud, and Microsoft Azure.
                                                          • -
                                                          • Ability to clearly communicate with technical teams, business users, and senior management
                                                          • -
                                                          • Experience mentoring and guiding junior software engineers, helping them improve their skills and make them more effective.
                                                          • -
                                                          • Preferred - Understanding of machine-learning use cases and experience with at least one of the following frameworks and libraries:
                                                              -
                                                            • Machine Learning (TensorFlow, PyTorch, HuggingFace)
                                                            • -
                                                            • Natural Language Processing toolkits (AWS SageMaker, Azure Cognitive Services for Language, Google DialogFlow, NLTK, PyTorch-NLP, SpaCy, Rasa)
                                                            • -
                                                            • Generative AI (Transformers, Generative Adversarial Networks).
                                                            • -
                                                            -
                                                          • -
                                                          -

                                                          -

                                                          Nice-to-have

                                                          -
                                                            -
                                                          • Passion to learn, experiment, and build rapid prototypes with new technology frameworks, libraries, and low-code/no-code vendor solutions
                                                          • -
                                                          • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment, with proven record of technology delivery.
                                                          • -
                                                          • Strong software engineering and solution architecture skills. Ability to hand-code all components and able to direct people
                                                          • -
                                                          • Self-motivated, able to manage time and work with minimal supervision
                                                          • -
                                                          -

                                                          -

                                                          -

                                                          What’s in it for you?

                                                          -

                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                          -
                                                            -
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                          • -
                                                          • Leaders who support your development through coaching and managing opportunities
                                                          • -
                                                          • Ability to make a difference and lasting impact
                                                          • -
                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                          • -
                                                          • A world-class training program in financial services
                                                          • -
                                                          • Flexible work/life balance options
                                                          • -
                                                          • Opportunities to do challenging work
                                                          • +
                                                          ",,https://jobs.td.com/en-CA/jobs/14431985/sr-business-insights-analyst-fraud-strategy-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-21T20:38:07.463Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/107305629-sr-business-insights-analyst-fraud-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14431985/sr-business-insights-analyst-fraud-strategy-markham-ca/,expired,2022-02-03T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +719dd565-6e46-41b9-b8ac-8db3aed4bd4d,105137070,Deloitte,"Data Engineer - Azure, Omnia AI",on_site,"Ontario, Canada",2022-01-21T02:42:48.803Z,"

                                                          Job Type: Permanent
                                                          Primary Location: Multiple Locations, Canada
                                                          All Available Locations: Toronto; Montreal; Ottawa; Vancouver

                                                          +
                                                          +

                                                          +

                                                          Our Purpose

                                                          +

                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                          +

                                                          By living our Purpose, we will make an impact that matters.

                                                          +

                                                          Learn from deep subject matter experts through mentoring and on the job coaching
                                                          Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                          Be encouraged to deepen your technical skills…whatever those may be.
                                                          Build your leadership skills at Deloitte University.
                                                          Have many careers in one Firm.
                                                          Partner with clients to solve their most complex problems
                                                          Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                          Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                          Experience a firm where wellness matters.
                                                          Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                          Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                          Build a network of colleagues for life
                                                          Have an impact that matters through pro bono and significant volunteer opportunities.
                                                          Be empowered to lead and have impact with clients, our communities and in the office.
                                                          Be expected to share your ideas and to make them a reality.
                                                          Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                          Grow your network and your knowledge by joining one of our many Employee Resource Groups.

                                                          +
                                                          +
                                                          +
                                                          +

                                                          +

                                                          You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                          +
                                                          +
                                                          +

                                                          What will your typical day look like?

                                                          +
                                                          +

                                                          As a Data Engineer in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, you are tech savvy and have a solid understanding of software development.

                                                          +

                                                          Specifically, in this role, you will:
                                                          • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                          • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                          • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                          • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                          • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                          +
                                                          +
                                                          +
                                                          +

                                                          About the team

                                                          +
                                                          +

                                                          Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                          +

                                                          Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                          +
                                                          +
                                                          +
                                                          +

                                                          Enough about us, let’s talk about you

                                                          +
                                                          +

                                                          You are someone with:
                                                          • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                          • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                          • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Azure Cloud using Azure Data Factory, Azure Functions, and Python.
                                                          • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using data storage knowledge of SQL Server, Cosmos DB, and Data Lakes.
                                                          • Experience with implementation of BI platforms such as Databricks and Azure analysis services
                                                          • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                          +

                                                          If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                          +

                                                          The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                          +
                                                          +
                                                          +
                                                          +

                                                          Our shared values

                                                          +

                                                          While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                          +

                                                          They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                          +

                                                          Every day, we live our Purpose through the following five shared values:

                                                          +
                                                          • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                          • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                          • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                          • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                          • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                          -

                                                          -

                                                          -

                                                          Job Summary

                                                          -

                                                          Address:

                                                          -

                                                          TORONTO, Ontario, Canada

                                                          -

                                                          City:

                                                          -

                                                          CAN-ON-TORONTO

                                                          -

                                                          Country:

                                                          -

                                                          Canada

                                                          -

                                                          Work hours/week:

                                                          -

                                                          37.5

                                                          -

                                                          Employment Type:

                                                          -

                                                          Full time

                                                          -

                                                          Platform:

                                                          -

                                                          Technology and Operations

                                                          -

                                                          Job Type:

                                                          -

                                                          Regular

                                                          -

                                                          Pay Type:

                                                          -

                                                          Salaried

                                                          -

                                                          Posted Date:

                                                          -

                                                          2022-06-30-07:00

                                                          -

                                                          Application Deadline:

                                                          -

                                                          2022-07-30-07:00

                                                          -

                                                          Inclusion and Equal Opportunity Employment

                                                          -

                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                          ​​​​​​​
                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                          -

                                                          Join our Talent Community

                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                          ",,https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Lead-Software-Engineer--Emerging-Technologies-Solutions-_R-0000019063,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2022-07-28T17:52:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136786592-lead-software-engineer-emerging-technologies-solutions-at-rbc,,expired,2022-07-12T13:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -f7edc126-526a-486b-b787-4c75bab52c08,139496504,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-07-25T21:07:04.085Z,"
                                                          +

                                                          [Not to be removed or modified – this is firm standard]

                                                          The next step is yours

                                                          +

                                                          Sound like The One Firm. For You? Apply by [insert date].

                                                          +

                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                          +

                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                          +

                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                          ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-02-23T18:14:04.907Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/105137070-data-engineer-azure-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,expired,2022-01-21T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +9091e704-9a17-4d8c-9ca5-04d7145d07eb,110312453,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2022-02-23T20:33:02.160Z,"

                                                          Company Overview

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          @@ -32445,50 +29454,38 @@ f7edc126-526a-486b-b787-4c75bab52c08,139496504,TD Bank Group,"Data Scientist, Cy

                                                          Department Overview

                                                          -

                                                          The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                          +

                                                          Job Profile Summary

                                                          Collaborating with the Azure Application Support team and customers to provide insights, reporting and trends to the Cloud team and customers. The insights will drive continuous improvement and report on platform health. The candidate will be designing, developing, and maintaining business intelligence solutions. Crafting and executing queries upon request for data. Presenting information through reports and visualization leveraging a variety of tools such as ServiceNow, Tableau and PowerBI.

                                                          Job Description

                                                          -

                                                          Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                          -

                                                          As a Data Scientist, Cyber-Fraud, you will:

                                                          -
                                                            -
                                                          • -All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                              -
                                                            • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                            • -
                                                            • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                            • -
                                                            -
                                                          • -
                                                          • -Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                              -
                                                            • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                            • -
                                                            • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                            • -
                                                            • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                            • -
                                                            -
                                                          • -
                                                          • -Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                              -
                                                            • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                            • -
                                                            • Conduct cyber investigations and digital forensics as required
                                                            • -
                                                            -
                                                          • -
                                                          • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                          • -
                                                          +

                                                          Job Description

                                                            -
                                                          • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                          • -
                                                          • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                          • -
                                                          • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                          • +
                                                          • Power BI/Tableau report development.
                                                          • +
                                                          • Building analysis services reporting models.
                                                          • +
                                                          • Developing visual reports, KPI scorecards, and dashboards using Power BI desktop and/or Tableau.
                                                          • +
                                                          • Connecting data sources, importing data, and transforming data for business intelligence.
                                                          • +
                                                          • Analytical thinking for translating data into informative reports and visuals.
                                                          • +
                                                          • Capable of implementing low-level security on data along with an understanding of application security layer models in Power BI.
                                                          • +
                                                          • Expert in using advanced-level calculations on the data set.
                                                          • +
                                                          • Responsible for design methodology and project documentaries.
                                                          • +
                                                          • Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.
                                                          • +
                                                          • Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.
                                                          -
                                                          • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions

                                                          Requirements

                                                          -
                                                          • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                          +

                                                          Required Skills

                                                            -
                                                          • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                          • -
                                                          • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                          • -
                                                          • Information security certification/accreditation or analytics certifications an asset
                                                          • -
                                                          • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                          • +
                                                          • Mandate to have experience with BI tools and systems such as Power BI and Tableau.
                                                          • +
                                                          • Experience with SeviceNow.
                                                          • +
                                                          • Must have 2-3years of experience in data-specific roles.
                                                          • +
                                                          • Knowledge in Microsoft BI Stack.
                                                          • +
                                                          • Grip over data analytics.
                                                          • +
                                                          • Should possess software development skills.
                                                          • +
                                                          • High level understanding of Azure as a service.
                                                          • +
                                                          • Knowledgeable with Datadog.
                                                          • +
                                                          • Knowledgeable with Azure App Insights.

                                                          @@ -32498,117 +29495,189 @@ f7edc126-526a-486b-b787-4c75bab52c08,139496504,TD Bank Group,"Data Scientist, Cy

                                                          Inclusiveness

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-28T21:13:10.491Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/139496504-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-07-25T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,,Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -cf01c4b4-fb01-4777-b6f8-3da601d43d70,144396023,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-08-16T01:50:19.577Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          -

                                                          -

                                                          Department Overview

                                                          -

                                                          Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                          -

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          About this Role

                                                          -

                                                          Are you an experienced data steward and data analysis expert? If so, this role offers a hands-on opportunity to execute on line of business data strategy, working in alignment with Bank-wide data standards and policy. This is an expert professional role requiring in-depth knowledge in your field of specialty and working knowledge of broader related areas. You may be appointed Data Steward for your line of business.

                                                          -

                                                          As a Data Steward I, you will:

                                                          +
                                                          ",,https://jobs.td.com/en-CA/jobs/15030838/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-02-24T17:36:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/110312453-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15030838/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2022-02-23T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +44ab61d9-1155-40e0-9f4f-9717b997acdc,107915548,Loblaw Companies Ltd.,"Data Science, CO-OP",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-02-07T17:55:08.541Z,"
                                                          +
                                                          +
                                                          +

                                                          Referred applicants should not apply directly to this role.

                                                          +

                                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Location:

                                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                          +

                                                          +

                                                          The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Why is this role important?

                                                          +

                                                          Summer Student

                                                          +

                                                          Duration: May 9th, 2022 - Aug 19th, 2022

                                                          +

                                                          +

                                                          CO-OP - Data Science, Operations

                                                          +

                                                          +

                                                          Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                          +

                                                          +

                                                          Job Description
                                                          The Data, Insights & Analytics (DI&A) team covers the data-focused spectrum from data governance and management through data engineering. We also cover the data analytics spectrum from ad-hoc database queries through to machine learning models. As Canada’s largest retailer, we are uniquely positioned to leverage data driven insights to deliver the needs of our customers. Our culture – Smart, Nice and Curious operates at the center of everything we do and is a critical part of who we are. Join us help Canadians live life well through the power of data, insights & analytics.

                                                          +

                                                          +

                                                          Why this role is important?

                                                          +

                                                          +

                                                          The Operational Analytics team is tightly connected with multiple groups across the business and analytics departments and is responsible for developing some core backbone technologies used by other groups. Working scope of this team is quite vast as it covers multiple use cases such as supply chain, merchandising, logistics, price optimization and labour optimization. The incumbent will be responsible for developing analytical models and creating actionable insights and recommendations while gaining in-depth knowledge of business operations.

                                                          +

                                                          +

                                                          Our team is working on 4 work-streams that are a part of the DIA bankable plan. The dynamics of the work-streams vary from period to period. In the past help and expertise provided by coop students were very valuable. The coop program at LCL also creates great opportunity to seek talent for full-time engagement.

                                                          +

                                                          +

                                                          What you will do:

                                                            -
                                                          • Identify and monitor the quality of critical data elements
                                                          • -
                                                          • Complete metadata and data quality tasks
                                                          • -
                                                          • Partner with technology and architecture colleagues and contacts to drive effective data related activities for LOB
                                                          • -
                                                          • Participate in cross-functional/enterprise initiatives by conducting research and analysis related to data changes and issues
                                                          • -
                                                          • Understand, remediate and implement changes in various forums on behalf of LOB
                                                          • -
                                                          • Provide specialized data governance / management advice and support to teams, management, leadership
                                                          • -
                                                          • Understand trends, identify issues and opportunities and recommend action to management
                                                          • -
                                                          • Manage data work activities requiring coordination across multiple areas
                                                          • -
                                                          • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                          • -
                                                          • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                          • +
                                                          • Extract and prepare data using a combination of different tools including SQL, Python and PySpark
                                                          • +
                                                          • Create Python programs and machine learning models to solve business needs
                                                          • +
                                                          • Support the gathering and documentation of business processes related to areas of opportunities
                                                          • +
                                                          • Uncover insights and build strategic recommendations that support objectives for the Inventory management team.
                                                          • +
                                                          • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                          -
                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          +

                                                          +

                                                          What you will bring:

                                                            -
                                                          • Undergraduate degree or technical certificate
                                                          • -
                                                          • Five (5) or more years relevant experience
                                                          • -
                                                          • Skill in using software tools, applications, data analysis methods
                                                          • -
                                                          • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                          • +
                                                          • University degree or Master’s degree in an analytical field of study (e.g. Statistics, Economics, Computer Science, Engineering, Mathematics, Finance)
                                                          • +
                                                          • 1-3 years of experience working with large data sets and analytic tools
                                                          • +
                                                          • 1-3 years of experience with SQL and Python
                                                          • +
                                                          • Working knowledge of machine learning techniques, such as scikit-learn, Keras / Tensorflow
                                                          • +
                                                          • Experience with time-series is an asset
                                                          • +
                                                          • Data mining experience working with a large relational database is an asset
                                                          • +
                                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                          • +
                                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                                          • +
                                                          • Strong detail orientation is essential in this role
                                                          • +
                                                          • A team player and self-starter
                                                          +

                                                          +

                                                          +

                                                          +

                                                          How You’ll Succeed:

                                                          +

                                                          At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

                                                          +

                                                          If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

                                                          +

                                                          +

                                                          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                          +

                                                          +

                                                          +

                                                          Employment Type:

                                                          Full time

                                                          +

                                                          +

                                                          Type of Role:

                                                          Temporary (Fixed Term)

                                                          +

                                                          Type of Contract:

                                                          Intern

                                                          +

                                                          +

                                                          +

                                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                          +
                                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science--CO-OP_R2000226557?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-02-28T18:05:09.761Z,False,0,10,61,https://talenthub.vectorinstitute.ai/jobs/107915548-data-science-co-op-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Science--CO-OP_R2000226557?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-02-07T17:55:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Internship/Co-op,No Degree,New Posting, +310ebf07-e037-4590-a014-054143ba1bfe,108415027,Vector Institute,"Data Analyst & Visualization Intern Academic Partnerships · Toronto, Ontario",on_site,"Ontario, Canada",2022-02-10T06:29:08.486Z,"
                                                          +

                                                          POSITION OVERVIEW

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          +

                                                          The Data Analyst & Visualization Intern will have the opportunity to gain real-world experience in data analysis and visualization at a leading research institute. The objectives of this role are to analyze large amounts of data and assist with identifying and visualizing key metrics within the data to support our objectives around workforce development and research excellence. Reporting to the Program Manager, Student Engagement, you will play a key role in ensuring the goals of the Academic Partnership team around data analysis and benchmarking are met.

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          Start date: May 2022

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/144396023-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,expired,2022-08-16T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c22449eb-48c6-45ff-a868-f3dc8088108e,145822813,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-23T01:51:04.791Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          +

                                                          APPLIED INTERNSHIPS AT VECTOR

                                                          -

                                                          Department Overview

                                                          -

                                                          The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                          +

                                                          The purpose of the applied internship stream for Black and Indigenous students and postdocs is to accelerate and expand access to knowledge of AI by providing relevant, hands-on learning and work experience in machine learning and AI. It is designed to meet the criteria of Special Programs in line with the values of the Ontario Human Rights Code, and specifically to assist disadvantaged and underrepresented groups to achieve equal opportunity in the field of AI.

                                                          +

                                                          +

                                                          Interns will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Summer academic term (mid-May to end of August) with an opportunity to continue over the Fall 2022 academic term.

                                                          +

                                                          +

                                                          KEY RESPONSIBILITIES

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                          -

                                                          As a Data Scientist, Cyber-Fraud, you will:

                                                            -
                                                          • -All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                              -
                                                            • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                            • -
                                                            • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                            • -
                                                            +
                                                          • Identify and develop data structures and tools for data collection and analysis relating to mapping the end-to-end AI talent pipeline in Ontario;
                                                          • +
                                                          • Using AI-employment related data, analyze key trends relating to the supply and demand for AI-talent and desired skill sets in Ontario;
                                                          • +
                                                          • Aggregate and analyze existing data to benchmark and produce trends and insights on AI talent in Ontario, such as curriculum competencies and graduate outcomes
                                                          • +
                                                          • Mine data from internal sources and organize this data for trends analysis;
                                                          • +
                                                          • Generate concise reports on high-level insights;
                                                          • +
                                                          • Generate meaningful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights;
                                                          • +
                                                          • + Other duties as assigned.
                                                          • -
                                                          • -Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                              -
                                                            • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                            • -
                                                            • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                            • -
                                                            • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                            -
                                                          • -
                                                          • -Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                              -
                                                            • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                            • -
                                                            • Conduct cyber investigations and digital forensics as required
                                                            • +

                                                              +

                                                              SUCCESS MEASURES

                                                              +

                                                              +
                                                                +
                                                              • Data trends identified and mapped to help assess and benchmark AI talent in Ontario.
                                                              • +
                                                              • Reports generated on high-level insights.
                                                              • +
                                                              • Data visualizations/interactive dashboards created are accessible, highlight key outcomes, and integrate well with data inputs.
                                                              +

                                                              +

                                                              PROFILE OF THE IDEAL CANDIDATE

                                                              +

                                                              +
                                                                +
                                                              • You are a self-identified Black or Indigenous student or postdoc studying at a Canadian post-secondary institute (university or college) or a recent graduate
                                                              • +
                                                              • You have experience using Excel, SQL and data visualization tools such as Google Data Studio or Tableau. Familiarity with Python would be an asset but not required.
                                                              • +
                                                              • You are comfortable comparing, compiling, organizing and analyzing statistical information to identify patterns, relationships and problems
                                                              • +
                                                              • You have experience conducting statistical analyses such as correlations, regressions, and factor analyses
                                                              • +
                                                              • You are able to summarize meaningful insights resulting from data in different forms and for various audiences, including the business implications of findings
                                                              • +
                                                              • You have a keen interest in the field of artificial intelligence
                                                              • +
                                                              • + You have experience with designing, building, or maintaining data systems and pipelines
                                                              • -
                                                              • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                              • +
                                                              • You understand the limits and constraints associated with data usage (e.g. privacy concerns, challenges associated with unstructured or unlabelled data)
                                                              • +
                                                              • You are organized and efficient, with strong problem-solving skills
                                                              • +
                                                              • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
                                                              • +
                                                              • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture
                                                              • +
                                                              • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem
                                                              • +
                                                              • You are familiar with GSuite and MS Office 365
                                                              +

                                                              Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. The deadline for submission is February 27, 2022. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

                                                              +

                                                              +

                                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. As a program designed to meet the criteria of Special Programs in line with the values of the Ontario Human Rights Code, and specifically to assist disadvantaged and underrepresented groups to achieve equal opportunity in the field of AI, this role is seeking applications from Black and Indigenous students studying at a Canadian post-secondary institution or recent graduates.

                                                              +

                                                              +

                                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                              +

                                                              +
                                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=168&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-02-28T08:09:00.000Z,False,0,12,141,https://talenthub.vectorinstitute.ai/jobs/108415027-data-analyst-visualization-intern-academic-partnerships-toronto-ontario-at-vector-institute,,expired,2022-02-10T06:29:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, +bf91654b-ffaf-4750-8a29-dfd1c90ee4af,108519388,Vector Institute,Research Internships for Black & Indigenous Students at Vector Institute,on_site,"Ontario, Canada",2022-02-10T20:09:56.350Z,"
                                                          +

                                                          Are you looking for a dynamic internship this summer where you can gain hands-on experience in machine learning and deep learning? The Vector Institute for Artificial Intelligence is launching internships for Black & Indigenous post-secondary students across Canada. APPLICATIONS ARE NOW OPEN!

                                                          +

                                                          As a Research Intern at Vector Institute, you will work alongside world-renowned Vector faculty on machine learning and deep learning research projects in areas such as: reinforcement learning, privacy, neural networks, optimization and more. Projects include:

                                                            -
                                                          • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                          • -
                                                          • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                          • -
                                                          • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                          • +
                                                          • +Training binary neural networks through the lens of statistical mechanics: Binary neural networks (BNN) reduce memory storage, network complexity, and energy consumption by using 1-bit activations and weights. However, their training remains challenging. In this project, we will explore training BNNs using methods inspired by statistical physics and quantum mechanics.
                                                          • +
                                                          • +High level: An Effective Hardware Utilization Squeezer for Exploring Novel Deep Learning Models: We are looking for interns to help with the continuous work on Horizontally Fused Training Array (HFTA) among several potential aspects: 1) building a model architecture framework that natively supports HFTA; 2) investigating and improving the performance of horizontally fused operators and their kernels; 3) investigating the applicability of HFTA in less well-established ML/DL domains (e.g., graph neural nets).
                                                          • +
                                                          • +Beyond federation for collaborative learning with privacy: In federated learning (FL), data does not leave personal devices when they are jointly training a machine learning model. Prior work still largely underestimates the vulnerability of FL. In this project, we will introduce active and dishonest attackers to modify weights, consider mitigations and other defenses. A significant redesign of FL is required for it to provide any meaningful form of data privacy to users.
                                                          • +
                                                          • +How to make sense of the probabilistic predictions of modern neural architectures? What does it mean when your neural network makes a probabilistic prediction, e.g. an object in a test image is a dog with 75% of chance, a cat with 10% of chance, or a tiger with 15% of chance? We aim to understand and possibly re-calibrate such probabilistic estimates so that they indeed conform to our intuition and carry meaningful information that can be tested and compared.
                                                          • +
                                                          • +Non-convex optimization and sampling: Non-convex optimization and sampling are building blocks in modern machine learning due to the structural properties of popular statistical models. Owing to their key role and empirical success in numerous learning tasks, they have been a major focus of recent research. Many important characteristics of machine learning models such as generalization and fast-trainability are inherited from these non-convex methods; thus, a good understanding of these algorithms are crucial.
                                                          • +
                                                          • +Decision-Aware Model-based Reinforcement Learning: Model-based Reinforcement Learning (MBRL) is a promising approach to design sample efficient agents. This project explores new approaches to MBRL with a focus on learning models that incorporate the decision problem in the model learning process itself, and planners that are robust to errors in the model.
                                                          -
                                                          • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -
                                                          • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                          +

                                                          Who should apply?

                                                            -
                                                          • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                          • -
                                                          • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                          • -
                                                          • Information security certification/accreditation or analytics certifications an asset
                                                          • -
                                                          • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                          • +
                                                          • You are a self-identified Black or Indigenous student (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit);
                                                          • +
                                                          • You are studying in a STEM program (Science, Technology/Computer Science, Engineering, Math) at the undergraduate, master’s or PhD level;
                                                          • +
                                                          • You have at a minimum completed your second year of an undergraduate program at a Canadian university; and
                                                          • +
                                                          • You have completed an Intro to Machine Learning Course.
                                                          -

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          +

                                                          More details on eligibility requirements can be found on our website.

                                                          +

                                                          +

                                                          Ready to apply?

                                                          +

                                                          Check out the Research Internship projects available on Vector’s website. Learn every day with research and commercialization talks and opportunities to build your network in AI. The application deadline is February 23rd, 2022. Learn more & apply today!

                                                          +

                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                          +

                                                          ",,https://vectorinstitute.ai/ml-classes-and-internships-for-black-indigenous-students/,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-02-28T08:09:00.000Z,False,0,13,153,https://talenthub.vectorinstitute.ai/jobs/108519388-research-internships-for-black-indigenous-students-at-vector-institute-at-vector-institute,,expired,2022-02-10T20:09:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,No Degree,New Posting, +4a1cd636-9ac5-468f-a53d-93df5db5b18e,109238075,Scotiabank,Data Strategist,on_site,"Toronto, ON, Canada",2022-02-16T16:14:50.405Z,"

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          +

                                                          +

                                                          Purpose:

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          As a Data Strategist in Global Data and Analytics Team, you will help integrate analytics capabilities into the Bank’s digital products and by developing and implementing data strategies that will help improve customer experience.

                                                          +



                                                          What will you do in this role?

                                                          +



                                                          • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
                                                          • Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                                          • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
                                                          • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
                                                          • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
                                                          • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
                                                          • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
                                                          • Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
                                                          • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
                                                          • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
                                                          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

                                                          +



                                                          Are you the right person for the role?

                                                          +


                                                          • You have a strong business acumen, and you excel at developing and communicating analytics insights
                                                          • You are not afraid to challenge the status quo
                                                          • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                                                          • You can pivot and adapt to change
                                                          • You spend your free time tinkering with new technologies or building apps on the side
                                                          • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
                                                          • You have a high aptitude for diving in, taking ownership and picking up new things
                                                          • You're eager to mentor, teach and share your ideas in a team environment
                                                          • You have open and transparent communication style, including the ability to distil technical details into human terms

                                                          +

                                                          Do you have the skills that will enable you to succeed in this role?

                                                          +


                                                          • You have 5+ years of experience with data management, performance measurement and stakeholder management
                                                          • You have a university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                                                          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
                                                          • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                          • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
                                                          • Being proficient in one or more statistical programming languages (eg. Python, R) and having practical experience with data science tools and libraries (eg. scikit-learn, Pandas, NumPy, Git etc.) is desirable.
                                                          • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, ensemble methods, classification, regression, clustering, NLP, time series forecasting, etc.)
                                                          • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
                                                          • You have experience using visualization tools like Power BI, Tableau or QlikView
                                                          • You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
                                                          • Strong project management and communication skills (both oral and written).
                                                          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/145822813-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -6c13c494-ba53-4df1-9b16-d66dfec3cc35,145822844,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-08-23T01:51:07.464Z,"
                                                          +

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-ON-M5A3X5/554460417/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-02-28T23:59:00.000Z,False,0,0,21,https://talenthub.vectorinstitute.ai/jobs/109238075-data-strategist-at-scotiabank,,expired,2022-02-16T16:14:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +95cef260-e55e-41ba-b3f9-b4db9459f0f8,110830518,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-02-25T20:33:06.949Z,"

                                                          Company Overview

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          @@ -32624,2586 +29693,2848 @@ c22449eb-48c6-45ff-a868-f3dc8088108e,145822813,TD Bank Group,"Data Scientist, Cy

                                                          Job Description

                                                          -

                                                          Delivery

                                                          -
                                                            -
                                                          • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                          • -
                                                          • Build complex statistical models that learn from and scale to petabytes of data.
                                                          • -
                                                          • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                                          • -
                                                          • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                          • -
                                                          • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                          • -
                                                          • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                                          • -
                                                          -

                                                          Expertise & Leadership

                                                          +

                                                          +

                                                          About this Role

                                                          +

                                                          While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                                                          +

                                                          We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                          +

                                                          As a Data Scientist II, these are the essential qualifications of this role:

                                                            -
                                                          • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                          • -
                                                          • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                                          • -
                                                          • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                                          • -
                                                          • Communication and Stakeholder Management
                                                          • -
                                                          • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                                          • -
                                                          • Advanced communication, business acumen and stakeholder management competencies
                                                          • -
                                                          • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                                          • -
                                                          • Exceptional collaborator in a high-interaction environment
                                                          • -
                                                          • Foresee needs from business partners to prescribe effective solutions
                                                          • -
                                                          • Leverage empirical evidence and facts to influence/support decision making
                                                          • -
                                                          • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                                          • -
                                                          • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                                          • +
                                                          • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                          • +
                                                          • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                          • +
                                                          • Design and deliver enterprise analytic solutions for customers
                                                          • +
                                                          • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                          • +
                                                          • Build complex statistical models that learn from and scale to petabytes of data.
                                                          • +
                                                          • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                          • +
                                                          • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                          • +
                                                          • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                          • +
                                                          • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                                                          Requirements

                                                          -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            -
                                                          • Ability to translate business requirements into technical and analytical tasks
                                                          • -
                                                          • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                                          • -
                                                          • Technical understanding and critical thinking to challenge status quo
                                                          • -
                                                          • Strong problem-solving skills, mathematical and data literacy
                                                          • -
                                                          • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                                          • -
                                                          • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                                          • -
                                                          • Demonstrated experience in data transformation and data manipulation.
                                                          • -
                                                          • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                                          • -
                                                          • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                                          • -
                                                          • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                                          • -
                                                          • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                                          • -
                                                          • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                                          • -
                                                          • Experience with machine learning including supervised and unsupervised models.
                                                          • +
                                                          • Undergraduate degree or technical certificate
                                                          • +
                                                          • Seven (7) or more years of relevant experience

                                                          -

                                                          Additional Information

                                                          -
                                                          -#datascientist #LI-Hybrid

                                                          -

                                                          Locations:
                                                          Toronto
                                                          Montreal
                                                          Markham
                                                          London
                                                          Ottawa

                                                          -

                                                          * L7- L10

                                                          -
                                                          -

                                                          Hours

                                                          37.5

                                                          Inclusiveness

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/145822844-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -fd6201e2-d2da-4370-941a-846ba4e7b684,139649994,Borealis AI,Machine Learning Researcher Fall Internship,temporary,"Toronto, ON, Canada",2022-07-26T19:54:49.147Z,"

                                                          About Borealis AI

                                                          -

                                                          Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its fourlabs in Canada.

                                                          -

                                                          -

                                                          Our internships are currently running virtually. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                          -

                                                          -

                                                          Internship opportunities are available in the following areas:
                                                          - Deep Learning
                                                          - Reinforcement Learning
                                                          - Graphs and Optimization
                                                          - Unsupervised and Semi-supervised Learning
                                                          - Bayesian Optimization
                                                          - Privacy and Fairness
                                                          - Interpretability and Explainability
                                                          - AutoML
                                                          - Time Series Forecasting
                                                          - Natural Language Processing
                                                          - Computer Vision

                                                          -

                                                          -

                                                          You’re our ideal candidate if you have:
                                                          - Ability to implement state-of-the-art machine learning techniques
                                                          - High motivation to solve challenging research problems
                                                          - Passion for data, algorithms, and statistics
                                                          - Experience working towards a PhD or already hold an MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                          - Previous publications at a top-tier AI conference
                                                          - Experience with writing modular, robust, scalable software in Python
                                                          - Familiarity with the Unix command line and bash scripting
                                                          - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                          - A deep understanding of machine learning algorithms and/or statistical modeling

                                                          -


                                                          -

                                                          Internship duration: 4 months (September - December 2022)

                                                          -

                                                          Application deadline: August 31, 2022

                                                          -

                                                          -

                                                          How to apply:
                                                          Complete the online application and submit your resume at: https://www.borealisai.com/en/...

                                                          -

                                                          -

                                                          For any questions and enquiries, please contact: mi.research@borealisai.com

                                                          -

                                                          Inclusion and Equal Opportunity Statement:
                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          ",,https://www.borealisai.com/en/careers/internships/borealis-ai-internships/,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-08-25T21:32:00.000Z,True,0,48,372,https://talenthub.vectorinstitute.ai/jobs/139649994-machine-learning-researcher-fall-internship-at-borealis-ai,,expired,2022-07-26T19:54:00.000Z,employer-repost,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, -7fc04ba9-ad13-4b77-8f98-bb008b7bcd8c,133784093,Google,"Research Intern, BS, Fall 2022",on_site,"Toronto, ON, Canada",2022-06-25T17:11:06.643Z,"
                                                          -2022-04-18T14:02:05.568Z
                                                          -
                                                            -
                                                          • Share
                                                          • -
                                                            Save -
                                                          • -

                                                          Research Intern, BS, Fall 2022

                                                            -
                                                          • Google
                                                          • -
                                                          • In-office:
                                                            - Waterloo, ON, Canada -
                                                          • -
                                                          • + 1 more location
                                                          • -
                                                          -
                                                          -
                                                          -

                                                          Please complete your application before August 26th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                          -

                                                          NOTE: This internship is intended for students who are pursuing a BS degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                          -

                                                          To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                          Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                          -
                                                          -

                                                          Qualifications

                                                          -

                                                          Minimum qualifications:

                                                          -
                                                            -
                                                          • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                          • -
                                                          • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                          • -
                                                          -

                                                          Preferred qualifications:

                                                          -
                                                            -
                                                          • Currently attending a degree program in Canada.
                                                          • -
                                                          • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                          • -
                                                          • Experience as a researcher, including internships, full-time, or at a lab.
                                                          • -
                                                          • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                          • -
                                                          • Experience with one or more general purpose programming languages.
                                                          • -
                                                          • Ability to speak and write in English fluently.
                                                          • -
                                                          +
                                                          ",,https://jobs.td.com/en-CA/jobs/14966570/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-03T20:38:08.601Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/110830518-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14966570/data-scientist-ii-toronto-ca/,expired,2022-02-25T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +e3dc488b-de06-43f6-ad55-e07c5003c5c7,110090699,Loblaw Companies Ltd.,"Analyst, Data Science",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-02-21T17:57:03.453Z,"
                                                          +
                                                          +
                                                          +

                                                          Referred applicants should not apply directly to this role.

                                                          +

                                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                          +

                                                          +

                                                          +

                                                          Location:

                                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                          +

                                                          +

                                                          Inspired by food? Committed to excellent service? So are we.
                                                          At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                          We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                          Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                          +

                                                          +

                                                          Why is this role important?

                                                          +

                                                          +

                                                          Why This Role is Important:

                                                          +

                                                          +

                                                          Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, curious, and nice people to help bring our Data, Insights & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

                                                          +

                                                          If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training, and makes a big impact on the community – this is the role you’ve been waiting for!

                                                          +

                                                          The Discount Analytics team at Loblaw is hiring a Data Science Analyst. Reporting to the Sr. Manager, Data Science, the incumbent will use advanced techniques in obtaining and analyzing data to drive insights and develop analytic capabilities to support business objectives in a time-efficient manner. This role will have the opportunity to support various unique projects and enterprise-wide transformational analytical initiatives.

                                                          +

                                                          +

                                                          What You'll Do:

                                                          +
                                                            +
                                                          • Responsible for the extraction and analysis of complex information from a variety of databases.
                                                          • +
                                                          • Support initiatives to make business partners more self-sufficient.
                                                          • +
                                                          • Act as a gatekeeper with regards to security and confidentiality of data obtained through all sources.
                                                          • +
                                                          • Translating business requests and questions into an order of operations. Business requests can be strategic nature or tactical focus, including but not limited to loyalty initiatives, marketing campaigns, development, and enhancements of recommendation engines, build customer attributes to better understand and predict customer behavior, etc.
                                                          • +
                                                          • Extract, review and prepare sales and customer behavior data for analysis using SQL
                                                          • +
                                                          • Analyze data to help determine insights to solve business problems or identify new opportunities
                                                          • +
                                                          • Support the development and operations of data products working collaboratively with Product, Sales and Marketing and Operations groups, on cross-functional outcomes
                                                          • +
                                                          • Actively identify and execute initiatives to improve process and data infrastructure
                                                          • +
                                                          • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                          • +
                                                          • Design and build interactive and static data visualizations to provide insights and enable strategic business decisions
                                                          • +
                                                          • Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated
                                                          • +
                                                          • Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement
                                                          • +
                                                          +

                                                          +

                                                          What You'll Bring:

                                                          +
                                                            +
                                                          • University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or other relevant field
                                                          • +
                                                          • Programming skills with SQL, Python, PySpark
                                                          • +
                                                          • In-depth knowledge of predictive modelling, machine learning modelling
                                                          • +
                                                          • Experience in utilizing advanced SQL data extraction and manipulation tools
                                                          • +
                                                          • Experience with cloud environment such as GCP, Azure, and Databricks preferred
                                                          • +
                                                          • Retail analytics experience with a marketing focus preferred
                                                          • +
                                                          • In-depth knowledge of pattern recognition models is an asset.
                                                          • +
                                                          • Data mining experience working with a large relational customer database
                                                          • +
                                                          • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
                                                          • +
                                                          • Ability to take initiative, multi-task and work in a fast-paced environment
                                                          • +
                                                          • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                          • +
                                                          • Strong detail orientation is essential in this role
                                                          • +
                                                          • A team player and self-starter
                                                          • +
                                                          • Advanced MS Office skills (Excel, Word)
                                                          • +
                                                          +

                                                          +

                                                          COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                          +

                                                          +

                                                          In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace. ​

                                                          +

                                                          +

                                                          +

                                                          +

                                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Employment Type:

                                                          Full time

                                                          +

                                                          +

                                                          Type of Role:

                                                          Regular

                                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                          +

                                                          +

                                                          Please Note:  
                                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                          +
                                                          +
                                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-03-03T18:05:11.274Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/110090699-analyst-data-science-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Analyst--Data-Science_R2000226463?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-02-21T17:57:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Entry Level,Bachelors Degree,New Posting, +d0e39c46-1b50-463d-b1bc-4726b081e347,106036093,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-01-27T20:33:05.516Z,"
                                                          +

                                                          Company Overview

                                                          +
                                                          +

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          +

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          -
                                                          -
                                                          -

                                                          About the job

                                                          -

                                                          Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                          Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                          -

                                                          Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                          Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Responsibilities

                                                            -
                                                          • Develop and execute a research agenda.
                                                          • -
                                                          • Create and support a productive and innovative team, including working with peers, managers, and teams.
                                                          • -
                                                          -
                                                          -

                                                          Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                          To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                          At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                          We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                          -
                                                          -
                                                          -
                                                          ",,"https://careers.google.com/jobs/results/119083051633255110-research-intern-bs-fall-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-08-26T18:51:00.000Z,False,0,19,89,https://talenthub.vectorinstitute.ai/jobs/133784093-research-intern-bs-fall-2022-at-google,,expired,2022-06-25T17:11:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,No Degree,New Posting, -71fdf6a0-7e65-4c28-ad42-949e1024540c,139956504,League,Data Analyst - Remote,full,US / Canada - Remote,2022-07-28T05:07:03.812Z,"
                                                          -
                                                          Help Us Shape the Future of Healthcare
                                                          -
                                                          -
                                                          At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                          -

                                                          As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                          -

                                                          People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                          -

                                                          Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                          -


                                                          In this role, you will:

                                                          -
                                                            -
                                                          • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                          • -
                                                          • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                          • -
                                                          • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                          • -
                                                          • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                          • -
                                                          • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                          • -
                                                          -


                                                          Attributes

                                                          -
                                                            -
                                                          • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                          • -
                                                          • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                          • -
                                                          • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                          • -
                                                          • You drive to learn and master new technologies and techniques.
                                                          • -
                                                          • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                          • -
                                                          • You are eager to learn from others and help others grow with you.
                                                          • -
                                                          -



                                                          Desired Outcome

                                                          +

                                                          +

                                                          Department Overview

                                                          +
                                                          +

                                                          The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                          The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                          +

                                                          The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO)

                                                          +
                                                          +

                                                          +

                                                          Job Description

                                                          +
                                                          +

                                                          Reporting to the Senior Manager, the incumbent is accountable for EDGO Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                          +

                                                          Accountabilities Include:

                                                            -
                                                          • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                          • -
                                                          • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                          • +
                                                          • Coordinate the data processes and streams within the active Projects for existing and new data created;

                                                          • +
                                                          • Coordinate data governance & management activities across project/PODs and LOBs

                                                          • +
                                                          • Supports completion of the Data Impact Assessment throughout the project Life Cycle

                                                          • +
                                                          • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;

                                                          • +
                                                          • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;

                                                          • +
                                                          • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;

                                                          • +
                                                          • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;

                                                          • +
                                                          • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;

                                                          • +
                                                          • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;

                                                          • +
                                                          • Participate in Business Bank’s Segment Data Council meetings;

                                                          • +
                                                          • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;

                                                          • +
                                                          • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                          -


                                                          Required Education/Experience/Certificates

                                                          +
                                                          +

                                                          +

                                                          Requirements

                                                          +
                                                          +

                                                          What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            -
                                                          • Strong SQL skills and experience working with a modern ETL framework
                                                          • -
                                                          • Experience working as a data analyst or data scientist
                                                          • -
                                                          • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                          • +
                                                          • Sound knowledge of Data Life Cycle Management Requirements and processes

                                                          • +
                                                          • Experience working on data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;

                                                          • +
                                                          • Knowledge of Business Bank data and systems considered an asset;

                                                          • +
                                                          • Experience working on data integration/Conversion projects or large scale, complex technology projects using formal project delivery methodology;

                                                          • +
                                                          • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams

                                                          • +
                                                          • Excellent relationship management skills;

                                                          • +
                                                          • Excellent oral and written communication and presentation skills;

                                                          • +
                                                          • Strong organizational awareness;

                                                          • +
                                                          • Strong attention to detail and well-organized to manage large amounts of information and details

                                                          • +
                                                          • Superior negotiation and creative problem-solving skills

                                                          -



                                                          Nice To Have Experience

                                                          -
                                                            -
                                                          • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                          • -
                                                          • Healthcare industry experience
                                                          • -
                                                          -
                                                          -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                          -
                                                          -
                                                          Here are some additional resources to learn more about League:
                                                          - - - - -
                                                          -

                                                          Recognize and Avoid Employment scams. Practice safe job searching.

                                                          -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. -
                                                          -
                                                          -
                                                          Privacy Policy
                                                          -
                                                          Review our Privacy Policy for information on how League is protecting personal data.
                                                          -
                                                          ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-08-27T13:48:29.467Z,False,0,13,79,https://talenthub.vectorinstitute.ai/jobs/139956504-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-07-28T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -e08389a4-7dc6-4d07-a044-530816c0333d,139967662,Vector Institute,"Research Services Officer Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-07-28T07:06:03.492Z,"
                                                          -

                                                          Research Services Officer

                                                          -

                                                          The Vector Research Operations & Academic Partnerships team is seeking a dynamic and action-oriented individual in the role of Research Services Officer to support the implementation of the Vector Institute’s Canada CIFAR AI (CCAI) Chair program, which is part of the Government of Canada’s Pan-Canadian AI Strategy (PCAIS) administered by CIFAR.

                                                          -

                                                          -

                                                          Reporting to the Manager, Research Services, the incumbent will support the recruitment, onboarding, and support of Vector Faculty Members and Vector Postdoctoral Fellows. The role will also monitor key reporting requirements for PCAIS 2 and coordinator reporting requirements.

                                                          -

                                                          -

                                                          In addition, the Research Services Officer will support initiatives that strengthen the researcher community at Vector, such as a Visiting Researchers Program.

                                                          -

                                                          -

                                                          Key Responsibilities

                                                          -

                                                          +

                                                          +

                                                          Additional Information

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          +

                                                          Hours

                                                          +
                                                          37.5
                                                          +

                                                          +

                                                          Inclusiveness

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          +
                                                          ",,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-02T14:44:11.031Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/106036093-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,expired,2022-01-27T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6382ce15-e413-4432-a8f0-cbe8a16334e8,111184574,Sun Life Financial,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2022-02-28T07:03:06.714Z,"
                                                          +
                                                          +
                                                          +

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          +

                                                          +

                                                          +

                                                          Job Description:

                                                          +

                                                          +

                                                          Role Summary

                                                          +

                                                          +

                                                          This role reports to AVP, Advanced AI Initiatives in Business Excellence. Business Excellence leads transformation in Canadian Operations at Sun Life. This role will work with a team of data scientists to pioneer creating new AI capabilities to help improve business outcomes across Sun Life’s Canadian Operations.

                                                          +

                                                          +

                                                          What will you do?

                                                            -
                                                          • Support talent recruitment and acquisition activities for faculty and postdoctoral fellows by coordinating Vector’s Recruitment and Hiring Committees.
                                                          • -
                                                          • In concert with external university partners and internal stakeholders, ensure a strong positive experience during the faculty and postdoctoral fellow recruitment and onboarding.
                                                          • -
                                                          • Schedule and document of the annual faculty review process and steward the renewal process for CCAI Chairs.
                                                          • -
                                                          • Support the Research Director and Research Operations and Academic Partnerships team to foster a strong culture of collaboration and dialogue among faculty and researchers, as well as initiatives to enable professional development among faculty.
                                                          • -
                                                          • Coordinate annual reporting requirements for formal Affiliation Agreements with partner institutions.
                                                          • +
                                                          • Work with multidisciplinary teams with different business and technical backgrounds to identifying cutting edge AI solutions that might be applicable to our business problems

                                                          • +
                                                          • Preparing datasets, training models and fine-tuning models to extract actionable insights from big unstructured datasets

                                                          • +
                                                          • Create visualizations that helps to transform data into actionable insights for non-experts

                                                          • +
                                                          • Help to develop working application prototypes

                                                          • +
                                                          • Present your work/findings to a wide audience from beginner to experts

                                                          +

                                                          +

                                                          What do you need to succeed?

                                                            -
                                                          • Support a Visiting Researchers Program including review process, recruitment, and onboarding of Visiting Researchers to Vector.
                                                          • -
                                                          • With Manager, Research Services, ensure the Vector Institute’s formal agreement with CIFAR is executed, and accountability requirements and reporting metrics are delivered in an accurate and timely manner.
                                                          • -
                                                          • Other related duties as assigned.
                                                          • +
                                                          • Masters or PhD degree in relevant discipline

                                                          • +
                                                          • ​5 years experience with either Automatic Speech Recognition systems/ Natural Language Processing/ Conversational AI or Information Extraction, tools and techniques-

                                                          • +
                                                          • 5 years hands on experience with Python, particularly with data science related packages and visualization techniques

                                                          • +
                                                          • 5 years experience with Deep Learning frameworks such as Tensorflow or PyTorch

                                                          • +
                                                          • Extensive knowledge of Machine Learning and Deep Learning tools and concepts

                                                          • +
                                                          • Ability to work independently with minimal supervision and perform well in team projects

                                                          • +
                                                          • Good knowledge of database concepts and SQL

                                                          • +
                                                          • Solid production level coding skills

                                                          • +
                                                          • Excellent communication skills

                                                          -

                                                          -

                                                          Why you should apply:

                                                          +

                                                          +

                                                          What will be nice to have?

                                                            -
                                                          • You are passionate about growing Canada’s global leadership in AI research;
                                                          • -
                                                          • You have a range of experiences in either a research institute or university setting as well as experience in program implementation and project management;
                                                          • -
                                                          • You are highly organized and motivated to work with diverse perspectives and ideas to foster a creative and collaborative research environment for world-class AI researchers;
                                                          • -
                                                          • You believe good ideas are important, but execution is key, and you hold yourself accountable for delivering results;
                                                          • -
                                                          • You are curious and eager to challenge your comfort zone on an ongoing basis;
                                                          • -
                                                          • You are entrepreneurial and thrive in a solutions-oriented environment.
                                                          • +
                                                          • Experience with C/C++, Java, Scala, R

                                                          • +
                                                          • Experience working with SQL/Unix command-line

                                                          • +
                                                          • Published paper in AI conferences such as NeurIPS, ICML, ICLR etc.

                                                          • +
                                                          • Experience in signal processing and pattern recognition

                                                          • +
                                                          • Knowledge of ASR technologies and tools such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction, Kaldi

                                                          -

                                                          -

                                                          -

                                                          Success Measures:

                                                          +

                                                          +

                                                          Unique Requirements

                                                          +

                                                          The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-

                                                          +

                                                          pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                          +

                                                          +

                                                          What’s in it for you?

                                                            -
                                                          • Prompt and thoughtful actions support research operations and business requirements at Vector;
                                                          • -
                                                          • Smooth running processes and tracking for PCAIS agreements;
                                                          • -
                                                          • Well-executed programming with strong stakeholder management and service delivery and,
                                                          • -
                                                          • Productive relationship management with Vector Faculty Members and its researcher community.
                                                          • +
                                                          • Competitive salary influenced by market range data

                                                          • +
                                                          • 20 days vacation per year

                                                          • +
                                                          • Remote work/ Hybrid Work environment

                                                          • +
                                                          • A friendly, collaborative and inclusive culture

                                                          • +
                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                          • +
                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                          • +
                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                          -

                                                          -

                                                          Profile of the Ideal Candidate:

                                                          -

                                                          -

                                                          The ideal candidate is hard working with great attention to detail and customer service. A strong project management skill set is vital to success in this position. In addition:

                                                          -

                                                          +

                                                          +

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          +

                                                          +

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          +

                                                          +

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          +

                                                          +

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          +

                                                          +

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          +

                                                          +

                                                          Salary Range:

                                                          74,900/74 900 - 125,900/125 900

                                                          +

                                                          Job Category:

                                                          Advanced Analytics

                                                          +

                                                          Posting End Date:

                                                          06/03/2022
                                                          +
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Machine-Learning-Engineer_JR00055348?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-03-03T07:08:07.938Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/111184574-senior-machine-learning-engineer-at-sun-life-financial,,expired,2022-02-28T07:03:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +ed2ffa8f-975e-442c-8519-8c3085ccee45,107753117,OMERS,"Lead Business Analyst, Data Governance",on_site,"Ontario, Canada",2022-02-06T07:19:04.552Z,"
                                                          +
                                                          +
                                                          +

                                                          Why join us?

                                                          +

                                                          +

                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                          +

                                                          +

                                                          The Lead Business Analyst, Data Governance will join the dynamic Enterprise Data Governance team within Data & Technology; working with a team that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Lead Business Analyst will work alongside information management and data governance specialists on their team and partner with data and analytics specialists within businesses and corporate functions to design, develop, implement and scale advanced solutions following best practices to drive measurable business outcomes.

                                                          Reporting to the Manager, Enterprise Data Governance, you will work closely with our business and technology teams to support the implementation of the OMERS Enterprise Information and Data Governance, stewardship and continuous improvement by focusing primarily on the implementation of Collibra, Informatica and additional tools & processes.

                                                          You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio, building an understanding of their business needs and data requirements, enhance self-service capabilities and elevate the understanding & application of governed data in the pursuit of data driven insights and intelligent decision making.

                                                          +

                                                          +

                                                          As a member of this team, you will be responsible for:

                                                            -
                                                          • Ability to effectively collaborate with a diverse range of individuals and perspectives across a broad range of sectors and stakeholders;
                                                          • -
                                                          • Exceptional communication and organizational skills as you work with multiple stakeholders and concurrent priorities;
                                                          • -
                                                          • High attention to detail as it relates to contractual and complex reporting requirements;
                                                          • -
                                                          • 2+ years of strong, practical real-world experience in roles that have included project delivery, program implementation, policy analysis, and stakeholder coordination;
                                                          • -
                                                          • Experience that provides strong knowledge of an academic research environment is a strong asset;
                                                          • -
                                                          • You have a data-driven mindset and the ability to translate data into actionable insights with a keen eye for detail and an ability to quickly identify and troubleshoot problems that arise.
                                                          • +
                                                          • Providing technical and Data Governance SME leadership and work in close partnership with business partners / technology / project teams and stakeholders to plan, elicit, analyze, document, communicate, support and manage the full implementation of Collibra and other tools & processes
                                                          • +
                                                          • Fostering strong relationships among cross-functional teams and facilitates decision making within multi-level audiences. Applying a system thinking approach to support the execution of data governance, including but not limited to master data, metadata, data quality, data lineage and data stewardship
                                                          • +
                                                          • Understanding of financial business functions, activities, transactions, and Data Governance best practices to contribute practical solutions leading to the adoption of Collibra for Enterprise Information and Data Governance Program
                                                          • +
                                                          • Identifying and implementing opportunities for practical and sustained data governance across the organization
                                                          • +
                                                          • Working with required Data and Technology teams to ensure that enterprise content management and analytics systems are designed in alignment with information and data governance best practices
                                                          • +
                                                          • Remaining on the “leading edge” of emerging data, analytics & AI technologies and methods (e.g. DataOps) to identify and implement tools and techniques and their application to new use cases and deployment opportunities
                                                          • +
                                                          • Driving a culture of innovation by supporting training and enablement activities such as lunch and learns, hackathons, etc.
                                                          -

                                                          -

                                                          How to Apply

                                                          -

                                                          -

                                                          Please address applications (cover letter and resume) to Sameera Ali, Talent Acquisition Specialist, using the link provided. The deadline for submission is August 16, 2022.

                                                          -

                                                          -

                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                          -
                                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=203&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-08-27T13:54:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/139967662-research-services-officer-research-toronto-ontario-at-vector-institute,,expired,2022-07-28T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -f86570bc-0dee-4790-9c2d-a5e0f08c19f5,139967660,Vector Institute,"Programs Officer Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-07-28T07:06:02.973Z,"
                                                          -

                                                          The Vector Research Operations & Academic Partnerships team is seeking a dynamic and action-oriented individual in the role of Programs Officer to execute programming for Faculty Affiliates, graduate students, and alumni in AI.

                                                          -

                                                          -

                                                          Reporting to the Manager, Research Programs, and working closely with the Program Manager, Student Engagement, the incumbent will coordinate research and career development opportunities for a growing pool of students and affiliated members specializing in AI.

                                                          -

                                                          -

                                                          Key Responsibilities:

                                                          +


                                                          To succeed in this role, you have:

                                                            -
                                                          • Build strong connections with students in Vector-recognized master’s programs and AI researchers about the programming and resources offered at Vector through initiatives such as orientation presentations, attendance at student facing events such as conferences, etc.
                                                          • -
                                                          • Coordinate satellite/outreach events across Ontario to connect with Faculty Affiliates, graduate students, Postdoctoral Fellows, and alumni in different communities.
                                                          • -
                                                          • Provide support for career and recruitment programming for AI students
                                                          • -
                                                          • Work with undergraduate AI clubs across the province to support student initiatives, such as conference sponsorship, securing speakers for club events etc.
                                                          • -
                                                          • In partnership with the Events Team, develop and build on events to bring together and showcase the strength of the research community; such as an annual research symposium, graduate visit day, and Deep Learning and Reinforcement Learning Summer School.
                                                          • -
                                                          • Support the implementation and ongoing improvement of multiple programs that contribute to the advancement of the Vector Institute\'s Al research agenda, such as the Faculty Affiliate Program and Faculty Affiliate Researcher Program.
                                                          • -
                                                          • Help establish an alumni program to connect a growing cadre of alumni to Vector programs.
                                                          • -
                                                          • Other related duties as assigned.
                                                          • +
                                                          • +Undergraduate or graduate degree in Information Systems, Computer Science, Statistics, Mathematics or equivalent +
                                                          • +
                                                          • 5+ years of experience in business analysis, working specifically on data governance projects
                                                          • +
                                                          • +Minimum three (3) years’ hands-on experience with a data governance tool such as Collibra or similar tools +
                                                          • +
                                                          • +Minimum three (3) years’ hands-on experience with a data quality tool such as Informatica or similar tools +
                                                          • +
                                                          • Solid grasp of data quality, metadata management, and data governance standards and best practices
                                                          • +
                                                          • Experience in using external/alternative data, data modeling, data architecture, data engineering, insight generation, data visualization, feature engineering and AI systems development & optimization is preferred
                                                          • +
                                                          • Ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                                                          • +
                                                          • Additional experience within Pensions, Investments, and/or Commercial Real Estate sectors would be an asset
                                                          • +
                                                          • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating individuals and teams
                                                          • +
                                                          • Clearly contributing to or leading multiple projects simultaneously and serving multiple stakeholders
                                                          • +
                                                          • Demonstrated experience in project and time management
                                                          • +
                                                          • Polished written and verbal communication and compelling presentation skills targeted at all levels of the organization
                                                          -

                                                          -

                                                          Why you should apply:

                                                          -

                                                          +

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Our story:

                                                          +

                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $105 billion in net assets as at December 31, 2020. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                          +

                                                          +

                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                          +

                                                          +

                                                          +

                                                          Vaccination Policy

                                                          +

                                                          +

                                                          At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                          +
                                                          +
                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Lead-Business-Analyst--Data-Governance_JR-2279,feed-importer@jobboard.io,,,,2022-03-03T07:38:11.285Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/107753117-lead-business-analyst-data-governance-at-omers,,expired,2022-02-06T07:19:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +8ad6d94f-9f77-443e-97e8-82cb2c13a009,111185458,TELUS,"Manager, Data Science",on_site,"Ontario, Canada",2022-02-28T07:33:05.102Z,"
                                                          +
                                                          +

                                                          Description

                                                          +
                                                          +

                                                          +

                                                          Join our team

                                                          +

                                                          +

                                                          We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                          +

                                                          +

                                                          We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                          +

                                                          +

                                                          Here’s how

                                                          +

                                                          +

                                                          You will lead a team of data experts (Data Engineers, Data Scientists and Data Analysts) to drive solutions in collaboration with our marketing, sales, business solutions, security, privacy teams and TELUS-wide AI focused teams. Building on our existing strengths in privacy, analytics and strategy, and architecture, you will:

                                                          +

                                                            -
                                                          • You are passionate about growing Canada’s global leadership in AI research;
                                                          • -
                                                          • You have a range of experiences in student programming and community building and want to apply this to supporting a growing AI ecosystem;
                                                          • -
                                                          • You are highly organized and motivated to work with diverse perspectives and ideas to foster a creative and collaborative research environment for world-class AI researchers;
                                                          • -
                                                          • You believe good ideas are important, but execution is key, and you hold yourself accountable for delivering results;
                                                          • -
                                                          • You are curious and eager to challenge your comfort zone on an ongoing basis;
                                                          • -
                                                          • You are entrepreneurial and thrive in a solutions-oriented environment.
                                                          • +
                                                          • Communicate with various stakeholders, identify use cases, data requirements and test hypotheses.
                                                          • +
                                                          • Develop technical domain knowledge, operationalize the application of AI insights and decision making and manage our team’s delivery lifecycle and business models.
                                                          • +
                                                          • Inspire and motivate team members to drive high performance, take calculated risks, drive sound business decision making and quality outcomes.
                                                          • +
                                                          • Evolve our underlying data pipeline to deploy reusable and scalable algorithms in partnership with privacy and security functions.
                                                          • +
                                                          • Perform analysis/evaluation of proposed specific use cases: economic, technology, return on investment, sensitivity etc…
                                                          • +
                                                          • Manage capital/operational budgets and headcount while balancing between the needs and targets of the team versus the evolving fiscal environment of the business.
                                                          • +
                                                          • Empower and help team members to resolve complex technical, process and business roadblocks.
                                                          -

                                                          -

                                                          Success Measures:

                                                          +
                                                          +
                                                          +
                                                          +

                                                          Qualifications

                                                          +

                                                          +

                                                          +

                                                          You’re the missing piece of the puzzle

                                                          +

                                                            -
                                                          • Strong, growing, and engaged student and alumni network;
                                                          • -
                                                          • Top of mind awareness of Vector’s student and researcher programming;
                                                          • -
                                                          • Excellent relationships with university student clubs and other organizations;
                                                          • -
                                                          • Well-executed programming with strong stakeholder management and service delivery
                                                          • -
                                                          • Productive relationship management with the researcher community.
                                                          • +
                                                          • AI Technology & Data Engineering Expertise: Deep technical knowledge and 3+ years’ experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                          • +
                                                          • Team Leadership: You have 3+ years of experience in a role managing people. Excellent communicator with a track record of building strong teams, driving a culture of high engagement, and delivering outstanding program results.
                                                          • +
                                                          • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                          • +
                                                          • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                                                          • +
                                                          • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                          • +
                                                          • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                                                          • +
                                                          • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                                                          -

                                                          -

                                                          PROFILE OF THE IDEAL CANDIDATE

                                                          -

                                                          -

                                                          The ideal candidate is hard working with great attention to detail and customer service. A strong project management skill set is vital to success in this position. In addition:

                                                          -

                                                          +

                                                          +

                                                          Great-to-haves

                                                          +

                                                            -
                                                          • You are outgoing and derive a high degree of satisfaction connecting with students and other stakeholders and strengthening a sense of community.
                                                          • -
                                                          • You are a captivating and engaging presenter.
                                                          • -
                                                          • You have experience working with students in a post-secondary environment or similar environment.
                                                          • -
                                                          • You have strong time management skills with a demonstrated ability to work with a diverse group of individuals in a team environment (e.g., graduate students, Faculty members, senior external researchers, leadership teams, operations staff, and graduate students), maintaining confidentiality and providing all with a trusted, respectful point of contact.
                                                          • -
                                                          • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                          • -
                                                          • You possess a positive attitude, integrity, a sense of humour, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                                          • -
                                                          • You have excellent verbal and written English communication skills.
                                                          • -
                                                          • You have strong Excel skills and are comfortable picking up and learning new technologies.
                                                          • -
                                                          • Familiarity with GSuite or the Microsoft Suite of applications, Eventbrite, WordPress, and Zapier would be an asset.
                                                          • +
                                                          • MBA (Master in Business Administration)
                                                          • +
                                                          • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                                                          • +
                                                          • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                                                          • +
                                                          • Strong knowledge of industry pressures in the telecommunications industry
                                                          -

                                                          -

                                                          HOW TO APPLY

                                                          -

                                                          -

                                                          Please address applications (cover letter and resume) to Sameera Ali, Talent Acquisition Specialist, using the link provided. The deadline for submission is August 16, 2022.

                                                          -

                                                          -

                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                          -
                                                          ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=202&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-08-27T13:53:00.000Z,False,0,1,26,https://talenthub.vectorinstitute.ai/jobs/139967660-programs-officer-research-toronto-ontario-at-vector-institute,,expired,2022-07-28T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -ee2f509e-4e69-49aa-916f-f4c7ced1e4c4,144294665,Omers,"Student Analyst, Trading (Winter 2023, 4 months)",on_site,"Ontario, Canada",2022-08-15T07:35:07.032Z,"
                                                          OMERS Capital Markets manages the public markets investment portfolio of bonds, currencies, and other interest-bearing assets, as well as publicly traded equities and commodities in Canadian and global financial markets. With a team of approximately 80 dedicated investment professionals, OMERS Capital Markets strives to achieve the highest, most consistent returns commensurate with the risk profile of the OMERS Fund and its other principal objectives. The OMERS Capital Markets\' team is distinguished by its diversity in expertise and experience and its commitment to superior performance.

                                                          -

                                                          -
                                                          -

                                                          Job Responsibilities:

                                                          -
                                                          • Developing trading analytics, tools and processes involving large data sets from a wide variety of sources, structuring a SQL database

                                                          -
                                                          -
                                                            -
                                                          • Communicating and working regularly with traders, portfolio managers, internal and external managers, and operations staff to gain a holistic view and context in developing applications

                                                          • -
                                                          • Preparing reports, evaluations and analyses providing insight into the business of trading and investment execution decisions

                                                          • -
                                                          -
                                                          -

                                                          -
                                                          -

                                                          You Should Apply If:

                                                          -
                                                          • Currently pursuing an undergraduate degree in Engineering, Computer Science, Math, Business or Economics

                                                          -
                                                            -
                                                          • Excellent programming skills including knowledge of VBA, SQL and Power BI (knowledge of other languages such as C# or Python is an asset)

                                                          • -
                                                          • Experience working with data including strong knowledge of Excel and MatLab skills preferred

                                                          • -
                                                          • Interest and knowledge of global financial and capital markets

                                                          • -
                                                          • Strong oral and written communication skills and highly developed interpersonal and relationship management skills to communicate with leaders across Capital Markets

                                                          • -
                                                          • Excellent analytical skills and a high attention to detail

                                                          • -
                                                          +
                                                          ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-03-07T18:17:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/111185458-manager-data-science-at-telus,,expired,2022-02-28T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, +2dfb698c-b427-4289-8216-a5935f8bc155,108832021,TELUS,Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-02-14T07:20:13.425Z,"
                                                          +
                                                          +

                                                          -

                                                          -

                                                          What’s In It For You?

                                                          -

                                                          As a Student Analyst, Trading, at OMERS Capital Markets, you’ll be part of a multi-asset class trading team, where you’ll develop and grow your understanding of investment markets and the instruments used by portfolio managers across asset classes. Our culture is one of a kind. We get stuff done and have fun doing it. We take great pride in contributing to the communities where we live. You can also expect:

                                                          -
                                                          • The opportunity to be part of the student community at OMERS & Oxford

                                                          -
                                                          -
                                                          -
                                                            -
                                                          • An orientation program to set you up for success during your work term!

                                                          • -
                                                          • Networking and educational session with different leaders across the business

                                                          • -
                                                          -

                                                          -

                                                          IMPORTANT: Application Instructions:

                                                          -

                                                          To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                          -

                                                          -

                                                          Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                          -
                                                          -
                                                          -
                                                          -

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Our story:

                                                          -

                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                          -

                                                          -

                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                          -

                                                          -

                                                          -

                                                          Vaccination Policy

                                                          -

                                                          -

                                                          At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                          -
                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student-Analyst--Trading--Winter-2023--4-months-_JR-3689,feed-importer@jobboard.io,,,,2022-08-29T07:40:08.477Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/144294665-student-analyst-trading-winter-2023-4-months-at-omers,,expired,2022-08-15T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -274ea886-35ed-4967-963d-bfd1529b9a73,145822825,TD Bank Group,"Manager, Analytics Product Owner",on_site,"Toronto, ON",2022-08-23T01:51:05.883Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          +

                                                          +

                                                          +

                                                          Create better business outcomes with your analytical acumen and creativity.

                                                          +

                                                          +


                                                          Join our team

                                                          +


                                                          The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                                          +


                                                          We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                                          +


                                                          Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                                          +

                                                          +


                                                          Here’s the impact you’ll make and what we’ll accomplish together

                                                          +


                                                          As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                                          +


                                                          As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                                          +

                                                          +

                                                          You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                                          +

                                                          +


                                                          Here\'s how

                                                          +


                                                          Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging SPARK, Python, SQL, etc.

                                                          +


                                                          Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling, post campaign analysis.

                                                          +


                                                          Present customer insights to cross functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital.

                                                          +


                                                          Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                                          Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community.

                                                          +


                                                          Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces

                                                          -

                                                          -

                                                          Department Overview

                                                          -
                                                          -

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                          -

                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          +
                                                          +

                                                          +

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          -

                                                          About this Role

                                                          -

                                                          You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                          -

                                                          We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                          -

                                                          -

                                                          As the Manager, Analytics & Insights you will:

                                                          +

                                                          You\'re the missing piece of the puzzle

                                                          +

                                                          +


                                                          Technical Expertise:

                                                          +

                                                            -
                                                          • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                          • -
                                                          • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                          • -
                                                          • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                          • -
                                                          • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                          • -
                                                          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                          • -
                                                          • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                          • -
                                                          • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                          • -
                                                          • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                          • -
                                                          • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                          • -
                                                          • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                          • -
                                                          • Set operational team direction, working in partnership to execute on common goals
                                                          • -
                                                          • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                          • -
                                                          • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                          • -
                                                          • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                          • -
                                                          • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                          • -
                                                          • Support execution with excellence on key initiatives/programs
                                                          • -
                                                          • Design effective test and learn for various programs or scenarios
                                                          • -
                                                          • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                          • -
                                                          • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                          • -
                                                          • Present insights back to executive leaders / business partners to drive strategic improvement
                                                          • +
                                                          • Extensive Hands-on experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                                          • +
                                                          • Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
                                                          • +
                                                          • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications.
                                                          • +
                                                          • Experience with Data Visualization tools like Domo/Tableau
                                                          • +
                                                          • Strong Quantitative, analytical and problem solving skills
                                                          • +
                                                          • 4+ years of progressive and relevant work experience
                                                          -
                                                          -

                                                          -

                                                          Requirements

                                                          -
                                                          -What can you bring to TD?

                                                          -

                                                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          +

                                                          +

                                                          +

                                                          Business Orientation:

                                                          +

                                                            -
                                                          • Undergraduate degree or technical certificate
                                                          • -
                                                          • Seven (7) or more years relevant experience
                                                          • +
                                                          • Good business acumen, relationship management and influencing without authority skills;
                                                          • +
                                                          • Ability to provide actionable recommendations based on data analysis
                                                          • +
                                                          • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                                          • +
                                                          • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                                          • +
                                                          +

                                                          +

                                                          +

                                                          Education:

                                                          +

                                                          +
                                                          • Post Graduate degree in Computer Science Engg/ Programming/ Statistics/Analytics
                                                          +

                                                          +

                                                          +

                                                          Great-to-haves

                                                          +

                                                          +
                                                            +
                                                          • Telecom industry experience
                                                          • +
                                                          • Working experience with Google Cloud Platform
                                                          +

                                                          +

                                                          +

                                                          +

                                                          Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills which will make you successful in this role and apply!

                                                          -

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          -

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/16478126/manager-analytics-product-owner-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-29T17:05:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/145822825-manager-analytics-product-owner-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16478126/manager-analytics-product-owner-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -81c44b47-b5ba-47ad-9d8b-dae637fdb655,140887130,KPMG,GTA - Healthcare Consultant/Senior Consultant Full Time - Management Consulting - Fall 2023,on_site,"Toronto, Canada",2022-08-02T01:52:08.181Z,"Overview

                                                          Please note that you are limited to one application during the recruitment period as we ask you to think ahead to what office and service line you are most interested in.

                                                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                          The opportunity:

                                                          KPMG’s Healthcare & Life Sciences Practice helps clients to address their most pressing concerns including continuously streamlining operations to unlock value, deliver bottom-line improvements and enhance quality and service levels.

                                                          Our Healthcare & Life Sciences practice is looking for a Full-Time Consultant/Senior Consultant to join our GTA team starting Fall (September) 2023 to support operations improvement, care system re-design, digital health and workforce engagements working directly with senior leadership and clients across the Healthcare industry. Positions are available in the following service lines:

                                                          • Operations

                                                          What you will do

                                                            -
                                                          • -Working with senior KPMG leaders to enhance and working cross-functionally within the Management Consulting practice to integrate the full health and life sciences service offerings
                                                              -
                                                            • Operational Excellence
                                                            • -
                                                            • Digital Health
                                                            • -
                                                            • Care System Redesign (large scale transformation such as policy, shared services, organizational redesign / restructuring, etc.)
                                                            • -
                                                            • Workforce
                                                            • -
                                                            • Advanced Analytics
                                                            • -
                                                            -
                                                          • -
                                                          • -Support clients to realize and achieve strategic objectives through potential initiatives such as:
                                                              -
                                                            • Cost-Optimization / Cost Take-Out
                                                            • -
                                                            • Clinical operational service delivery reviews and redesign
                                                            • -
                                                            • Health services and systems planning
                                                            • -
                                                            • Workforce optimization
                                                            • -
                                                            • Clinical Program Reviews and assessment
                                                            • -
                                                            • Clinical Process Redesign across the care continuum
                                                            • -
                                                            • Care transformation through digital strategy and enablement
                                                            • -
                                                            • Digital ecosystem and infrastructure modernization
                                                            • -
                                                            • Clinical Information System implementation support and assurance
                                                            • -
                                                            -
                                                          • -
                                                          • Drive business development through various activities including proposals, network events and other key activities
                                                          • -
                                                          • Travel may be required when safe to do so
                                                          • -

                                                          What you bring to the role

                                                          FOR CONSULTANT LEVEL:

                                                            -
                                                          • -You are enrolled in a university degree program (we will be considering candidates from a spectrum of programs such as, but not limited to, health informatics, health administration, business, commerce, science, engineering, arts). Candidates graduating between December 2022 and August 2023 should apply. -
                                                          • -
                                                          • You are a highly motivated individual with an entrepreneurial drive and enthusiasm to take on a variety of challenges and opportunities
                                                          • -
                                                          • You have a strong academic record
                                                          • -
                                                          • You have the ability to work independently without supervision and have a strong sense of personal accountability
                                                          • -
                                                          • You are a self-starter who thrives working in a dynamic, fast paced environment
                                                          • -
                                                          • You have strong analytical problem-solving skills with the ability to clearly identify and define problems, as well as develop creative solutions to address client requirements
                                                          • -
                                                          • You have excellent communication skills, both written and verbal, with the ability to communicate with client stakeholders in a way that is honest, consistent, and clear
                                                          • -
                                                          • You excel in a collaborative team environment to execute on quality project deliverables
                                                          • -
                                                          • Knowledge of the healthcare system in Canada including healthcare policies, healthcare technologies, health system design, and service delivery models and trends is considered a strong asset
                                                          • -
                                                          • Experience with operations improvement is considered a strong asset
                                                          • -
                                                          • Experience with data analytics and analysis is considered a strong asset
                                                          • -

                                                          Consultant usually join Management Consulting coming from an undergraduate degree or Master’s degree with less than 2 year’s work experience. Those coming from advanced degrees including MBAs, PhDs, MD, JD are encouraged to evaluate if a Senior Consultant or Consultant position is best for them.

                                                          FOR SENIOR CONSULTANT LEVEL:

                                                            -
                                                          • You are enrolled in a university degree program (we will be considering candidates from a spectrum of programs such as, but not limited to, health informatics, health administration, business, commerce, science, engineering, arts). Candidates graduating between December 2022 and August 2023 should apply.
                                                          • -
                                                          • You have 3-5 years of professional experience in healthcare and life sciences operational excellence, management consulting, strategy or policy development
                                                          • -
                                                          • Healthcare operations experience in relevant roles such as health informatics, health administration, clinical program management, policy development, regional health system leader and/or clinical experience is considered a strong asset and/or preferred 
                                                          • -
                                                          • Strong knowledge of the healthcare system in Canada is preferred, including healthcare policies, healthcare technologies, health system design, and service delivery models and trends 
                                                          • -
                                                          • You have experience with operations improvement including strong clinical workflows and operational processes across the care continuum 
                                                          • -
                                                          • -LEAN and other Process Redesign experience supported bycurrent and relevant experience leading process redesign engagements in the last 5 years is an asset  -
                                                          • -
                                                          • Strong Project and Program management experience to support results is preferred 
                                                          • -
                                                          • You have experience with data analytics and analysis to support all deliverables associated with operational excellence and process redesign 
                                                          • -
                                                          • You have experience leading and managing teams including training, coaching and mentoring to build internal capabilities 
                                                          • -
                                                          • Excellent communication skills, both written and verbal, with strong presentation skills 
                                                          • -
                                                          • Demonstrated experience and comfort working with executive healthcare leaders including C-suites 
                                                          • -
                                                          • You have planned and tracked projects, working with large data sets, and making data-driven analytical decisions. You can deliver training and coaching to employees at all levels of the client organization to build internal capabilities. You have superior communication skills, both written and verbal, with the ability to communicate with client stakeholders, work closely in a collaborative team environment and lead teams and project deliverables. 
                                                          • -

                                                          KEYS TO YOUR SUCCESS

                                                            -
                                                          • Passion for delivering high quality services and achieving client satisfaction
                                                          • -
                                                          • Thrives in challenging environments
                                                          • -
                                                          • Excellent interpersonal skills and demonstrated ability to work effectively in teams, as demonstrated by strong internal or client references
                                                          • -

                                                          All applications must be received no later than Thusday September 8th at 11:59pm ET. Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                                            -
                                                          • Cover letter
                                                          • -
                                                          • Resume
                                                          • -
                                                          • Electronic copy of your most recent transcript and/or GPA
                                                          • -
                                                          • Other relevant documents (i.e. GMAT score)
                                                          • -

                                                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                          Providing you with the support you need to be at your best

                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                          Our Values, The KPMG Way

                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                          For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                          ",,https://careers.kpmg.ca/students/jobs/16531?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-03T13:41:56.775Z,False,0,3,37,https://talenthub.vectorinstitute.ai/jobs/140887130-gta-healthcare-consultant-senior-consultant-full-time-management-consulting-fall-2023-at-kpmg,https://careers.kpmg.ca/students/jobs/16531?lang=en-us,expired,2022-08-02T01:52:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -f1456cd5-ee52-4435-b9f0-d0bb52ec7693,153373077,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2022-09-26T15:52:53.508Z,"

                                                          Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                          -

                                                          Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                          -

                                                          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                          -

                                                          Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                          -

                                                          As a machine learning scientist, you will

                                                          +
                                                          +
                                                          ",,https://careers.telus.com/job/Toronto-Data-Scientist-C360-Insights-Team-ON/556521117/,feed-importer@jobboard.io,,,,2022-03-05T07:38:05.108Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/108832021-data-scientist-c360-insights-team-at-telus,,expired,2022-02-14T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +71cf4b7a-d17c-4d20-9a73-d1f83cee2153,26862376,Scotiabank,Data Scientist / Data Engineer Co-op,on_site,"Toronto, ON, Canada",2019-12-19T19:25:20.605Z,"

                                                          WORK TERM: 4 months Co-op (May 2020 – August 2020)

                                                          +

                                                          LOCATION: Toronto, ON

                                                          +

                                                          POSITION DESCRIPTION:

                                                          +

                                                          The Digital Data and Analytics (DDNA) department provides core analytical support to Scotiabank’s leading digital analytics initiatives, and recently expanded to Global Operations providing support across the bank.

                                                          +

                                                          A successful Co-op Student in Digital Data and Analytics (DDNA) will:

                                                            -
                                                          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                          • -
                                                          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                          • -
                                                          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                          • -
                                                          • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                          • +
                                                          • Gain working knowledge of using the Cloud ecosystem to tackle real world big data questions related to Marketing, Operations, Fraud and AML (Anti Money Laundering) projects
                                                          -

                                                          Required Qualifications

                                                            -
                                                          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                          • -
                                                          • Strong background in machine learning
                                                          • -
                                                          • 5+ years of research experience with publication record
                                                          • -
                                                          • Proven track record of applying machine learning to solve real-world problems
                                                          • +
                                                          • Apply statistical analysis / predictive modeling to provide actionable insight to internal clients
                                                          • +
                                                          • Build and optimize data flows between different systems with the Hadoop/GCP platform
                                                          • +
                                                          • Design algorithms based on, among many others, natural language processing and machine learning
                                                          -

                                                          Preferred Qualifications

                                                          +

                                                          QUALIFICATIONS:

                                                            -
                                                          • Experience with deep learning and/or collaborative filtering
                                                          • -
                                                          • Hands on experience in software systems development and SaaS applications
                                                          • -
                                                          • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                          • -
                                                          • Experience using GPUs for accelerated deep learning training
                                                          • -
                                                          • Familiarity with AWS
                                                          • +
                                                          • Open to undergraduate / graduate students
                                                          • +
                                                          • Strong foundation in Software Engineering, Core Computer Science, Computational Math/Statistics
                                                          • +
                                                          • Experience with Python, Java, SQL
                                                          • +
                                                          • Familiarity with UNIX, shell scripting, Spark, Git
                                                          • +
                                                          • Strong communication skills
                                                          -

                                                          Benefits

                                                          +

                                                          WORKING ENVIRONMENT:

                                                            -
                                                          • Entrepreneurial and inclusive culture
                                                          • -
                                                          • Excellent health coverage
                                                          • -
                                                          • Four weeks paid vacation
                                                          • -
                                                          • Catered lunches twice a week over machine learning talks
                                                          • -
                                                          • Opportunities to collaborate with faculty at the Vector Institute
                                                          • -
                                                          ",careers@layer6.ai,,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2022-10-26T15:53:07.971Z,False,4,0,316,https://talenthub.vectorinstitute.ai/jobs/153373077-machine-learning-scientist-at-layer-6,,expired,2022-09-26T15:52:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,New Posting, -5475ca85-3a7e-4cb6-ad5f-8226bd157be7,153179647,TELUS,"Senior Project Manager, Data Engineering",on_site,"Ontario, Canada",2022-09-25T07:35:04.837Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          -


                                                          Join our team and what we\'ll accomplish together

                                                          -

                                                          -

                                                          We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                          -

                                                          We are searching for a talented candidate to become our team’s Sr. Project Manager, Data Engineering. Reporting to the Director – Data Engineering Platforms, you will lead and deliver data driven technology projects in collaboration with the Data Engineering Platforms team. Our team is responsible for enabling, enriching and democratizating data for TELUS in order to support many business units across the organization drive revenue, realize cost savings & efficiencies and to improve the customer experience via the following major workstreams:

                                                          -

                                                          +
                                                        • DDNA is part of the Scotiabank Digital Factory, located near the distillery district, downtown Toronto
                                                        • +
                                                        • Flexible dress code, onsite cafeteria with a chef, and onsite fitness center
                                                        • +
                                                        ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2020-01-24T22:25:00.000Z,False,39,0,533,https://talenthub.vectorinstitute.ai/jobs/26862376-data-scientist-data-engineer-co-op-at-scotiabank,,expired,2019-12-19T19:25:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +927b80a7-cd0c-448f-8ea3-29681fe3d80d,26807021,Deloitte,Omnia AI: Data Engineer - Summer 2020 Co-op/Intern,on_site,"Toronto, ON, Canada",2019-12-18T19:57:29.878Z,"

                                                        Date Posted: Dec 13, 2019

                                                        +

                                                        Reference Code: 48302-en_US

                                                          -
                                                        • Master Data Management
                                                        • -
                                                        • Revenue Generating Unit Reporting
                                                        • -
                                                        • Usage and Revenue Reporting
                                                        • -
                                                        • Consumer and Business customer interactions
                                                        • -
                                                        • Data Lake and Oracle DB migration to the Google Cloud Platform (GCP).
                                                        • +
                                                        • Be encouraged to deepen your technical skills in data engineering on Cloud and Big Data platforms.
                                                        • +
                                                        • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                        • +
                                                        • Be expected to share your ideas and make them a reality.
                                                        -


                                                        We work with internal and external partners to develop new data products and services and provide the highest tier of support for our enterprise grade data pipelines to GCP for TELUS. We continuously strive to improve the reliability of our data and the overall GCP platform through technology innovations and the latest SRE best practices.

                                                        -

                                                        What you’ll do

                                                        +

                                                        If you love to wrestle down data puzzles; If you embrace the potential of always more and more data; If you commit to solve crunchy data problems no one else can; and if you envision to make impacts that matter with data, then Omnia AI is where you want to be.

                                                        +

                                                        What will your typical day look like?

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +


                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        A data engineer is passionate about data and technology solutions, is curious to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in technical data solutions, including data ingestion, data transformation and mapping, data curation, quality and governance, data preparation and consumption. You will work closely in cooperation with data scientists, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights.

                                                        +

                                                        In this role, you will:

                                                          -
                                                        • Develop and implement roadmaps that provide a consolidated view including updates, delivery plans, compiling financial forecasts, tracking actuals, managing purchases, tracking material.
                                                        • -
                                                        • Work closely with technical teams on the end to end delivery of customer facing features and content.
                                                        • -
                                                        • Managing the overall portfolio budget (CAPEX & OPEX) by monitoring expenditures to ensure costs stay within the approved budgeted amount
                                                        • -
                                                        • Gathering and analyzing financial data to identify areas for improvement and to keep projects on budget and on time.
                                                        • -
                                                        • Manage infrastructure deployment and software development projects.
                                                        • -
                                                        • Partner with internal and external teams to deliver on strategic initiatives.
                                                        • -
                                                        • Balance day to day workload with the demands of a fast-paced Agile delivery team.
                                                        • -
                                                        • Facilitate and maintain relationships between organization and vendors/partners.
                                                        • -
                                                        • Contribute to the establishment of a common set of practices, tools and templates for portfolio, program, and project-level management and ensure standards are being followed.
                                                        • +
                                                        • Design, engineer and test data pipelines and platforms that enable business analytics and insights
                                                        • +
                                                        • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                        • +
                                                        • Plan/schedule tasks, be part of small development teams, and learn from the trenches
                                                        • +
                                                        • Participate in technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
                                                        -
                                                        -
                                                        -
                                                        -

                                                        Qualifications

                                                        -
                                                        -

                                                        What you bring

                                                        -

                                                        +

                                                        About the team

                                                        +

                                                        As a member of our Data & Analytics Modernization team, you will help our clients design and implement the data platform architectures – be it in the cloud or on premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

                                                        +

                                                        Enough about us, let’s talk about you

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +


                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        +

                                                        You are someone who is:

                                                          -
                                                        • 3-5 years of technical project management experience delivering IT Projects on Time, on Budget and with Quality.
                                                        • -
                                                        • Familiarity with Scrum, SAFe agile frameworks to manage product delivery.
                                                        • -
                                                        • Experience working with product owners to identify skill-sets and ensure backlog completeness including estimates.
                                                        • -
                                                        • Understanding of Big Data, Data Architecture, Informatica ETL tools and Google Cloud Platform products and services.
                                                        • -
                                                        • Skilled in using JIRA, Confluence, Google Suite, Fieldglass and SAP.
                                                        • -
                                                        • Manage project schedules, partners & vendors identifying risks and clearly communicating goals to project stakeholders.
                                                        • -
                                                        • Ability to foster collaborative working relationships with internal and external teams through leadership, embracing diversity and introducing new ideas
                                                        • -
                                                        • Skillful in problem-solving and resolving issues creatively and always through a customer lens.
                                                        • -
                                                        • Innovative and out of the box thinking - you are curious and never stop learning.
                                                        • -
                                                        • Ability to manage key deliverables, project status reporting, excellent communication and presentation skills as part of an extended project team and committed to working with engineers, architects and product managers.
                                                        • -
                                                        • Demonstrated ability to learn, both complex technical concepts and end to end business processes.
                                                        • -
                                                        • Flexible in managing ambiguity, uncertainty and changing priorities.
                                                        • -
                                                        • Bachelor\'s degree in Technology, Engineering, Business or other technical disciplines.
                                                        • +
                                                        • Enrolled in a BA/BSc or MA/MSc degree in Applied Mathematics, Statistics, Epidemiology, Computer Science, Engineering or related field
                                                        • +
                                                        • Fascinated with data structures, data models and data patterns, interested in wrangling, joining and melting data sets together to create the foundation for analysis
                                                        • +
                                                        • Quick to learn new technologies, easy to adapt to new environments, curious to try out new things and not intimidated by large and complicated data sets
                                                        • +
                                                        • Exposed to and/or experienced with building data sets in the cloud (on AWS, Azure or Google platforms), on Big Data / Hadoop (using Sqoop, Kafka, Parquet, Scala, Python, etc.), or on database platforms (using SQL-like programming on SQL Server, Oracle, Hive, HBase, NoSQL databases, etc.)
                                                        • +
                                                        • Able to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
                                                        • +
                                                        • Candidates interested in the Ottawa Office: Employees in the Ottawa office will be required to obtain ""Reliability"" and/or ""Secret"" level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status, you must have resided in Canada for the last five (5) years, and for ""Secret"" level, the last ten (10) years.
                                                        -

                                                        -

                                                        Great-to-haves

                                                        +

                                                        Why Deloitte?

                                                        +

                                                        +

                                                        Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                          -
                                                        • PMP, Agile, CSM certifications.
                                                        • -
                                                        • Project Management experience in software automation, cloud migrations, hardware deployments & data analytics.
                                                        • +
                                                        • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                        • +
                                                        • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                        • +
                                                        • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                        -
                                                        -
                                                        -
                                                        ",,https://careers.telus.com/job/Toronto-Senior-Project-Manager%2C-Data-Engineering-ON/561156817/,feed-importer@jobboard.io,,,,2022-10-26T17:14:58.256Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/153179647-senior-project-manager-data-engineering-at-telus,,expired,2022-09-25T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -c00c41c6-3db7-4453-8939-5a934cd8bc4c,157403801,RBC,"Manager, Retail Credit Cards Strategy & Analytics",on_site,"Toronto, ON, Canada",2022-10-17T17:12:05.831Z,"
                                                        -

                                                        Come Work with Us!

                                                        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                        -

                                                        Job Title

                                                        Manager, Retail Credit Cards Strategy & Analytics

                                                        +


                                                        The next step is yours

                                                        +


                                                        Sound like The One Firm. For You? Apply by January 21, 2020.

                                                        -

                                                        Job Description

                                                        +

                                                        At Deloitte we are all about doing business inclusively – that starts with having a diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                        -

                                                        What is the opportunity?

                                                        -

                                                        The RBC Credit Strategy team is hiring a Manager, Retail Credit Cards Strategy & Analytics. You will use advanced analytics to develop credit strategies to grow RBC revenue and manage risk to ultimately optimize portfolio profitability. This includes experimental design, machine learning, profitability modelling, data mining and analytics. The successful candidate will be responsible to take initiatives through the various phases of ideation, analysis, recommendation for approval and implementation.

                                                        +

                                                        By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                        +

                                                        We are passionate about helping you launch your career at Deloitte. Prepped is a free, digital and personalized, voluntary program that may provide the guidance and training you need to properly tackle your job search, and could prepare you for the next steps in the interview process. Prepped is currently only available in English, and is not a Deloitte created tool. Choosing to use or not use Prepped will not be weighted towards or against you. Get Prepped now at https://www.fullyprepped.ca/invite.

                                                        ",adam.renkosinski@vectorinstitute.ai,,aimasters@vectorinstitute.ai,https://careers.deloitte.ca/,,,2020-01-21T22:57:00.000Z,False,17,0,150,https://talenthub.vectorinstitute.ai/jobs/26807021-omnia-ai-data-engineer-summer-2020-co-op-intern-at-deloitte,,expired,2019-12-18T19:57:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, +a29cb674-288d-40f7-95b8-55e5faa72088,108161696,Scotiabank,"Manager, Decisioning Models - Retail & Small Business, Global Risk Management - Toronto, ON",on_site,"Toronto, ON, Canada",2022-02-08T22:05:45.916Z,"

                                                        Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                        +

                                                        +

                                                        The world is changing faster than ever and so are we!

                                                        +

                                                        +

                                                        Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                        +

                                                        +

                                                        Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                        +

                                                        +

                                                        What You'll do in this Role?

                                                        +

                                                        As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                        +

                                                        +

                                                        Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                        +

                                                        Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                        +

                                                        +

                                                        Is This Role Right for You?

                                                        +
                                                          +
                                                        • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                        • +
                                                        • You are both deeply curious and highly pragmatic
                                                        • +
                                                        • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                        • +
                                                        • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                        • +
                                                        • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                        • +
                                                        • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                        • +
                                                        • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                        • +
                                                        • You are comfortable initiating conversations and collaborating with diverse personalities
                                                        • +
                                                        • You are committed to quality in everything you do – statistically, process and governance wise
                                                        • +
                                                        • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                        • +
                                                        • You are professional, motivated AND FUN. We mean it.
                                                        • +
                                                        +

                                                        Sample projects that you might work on include:

                                                        +
                                                          +
                                                        • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                        • +
                                                        • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                        • +
                                                        • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                        • +
                                                        • Lead the periodic review and maintenance of credit risk models / scorecards
                                                        • +
                                                        • Identify, promote and lead process improvements for model development and monitoring
                                                        • +
                                                        • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                        • +

                                                        +

                                                        What Are We Looking For?

                                                        +

                                                        We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                        -

                                                        What will you do?

                                                        +

                                                        To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                        +

                                                        +

                                                        We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                        +

                                                        Do you have the skills that will enable you to succeed in this role?

                                                        +

                                                        General

                                                          -
                                                        • Use data mining, profitability modelling and business intuition to inform lending decisions for cards credit programs such as Line Management and Authorization

                                                        • -
                                                        • Acquire, transform and summarize data using both traditional database tools and cutting edge big data technologies

                                                        • -
                                                        • Leverage data driven assumptions to model out financial outcomes of credit strategies

                                                        • -
                                                        • Generate learnings to enhance credit strategies using Design of Experiments (DOE), Foundational Testing, Challenger/Champion and other testing methodologies

                                                        • -
                                                        • Develop compelling presentations to implement recommendations based on model results

                                                        • -
                                                        • Lead end-to-end stakeholder engagement with senior management across risk management, product, operations and other groups

                                                        • -
                                                        • Ensure the successful implementation and ongoing integrity of strategies and decision rules within appropriate systems

                                                        • -
                                                        • Measure true outcomes against expectations, driving continuous improvement and learnings from findings

                                                        • +
                                                        • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                        • +
                                                        • A demonstrated history of analytic problem solving and sound judgment
                                                        • +
                                                        • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                        • +
                                                        • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                        • +
                                                        • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                        -

                                                        -

                                                        -

                                                        What do you need to succeed?

                                                        -

                                                        Must-have

                                                        +

                                                        Technical

                                                          -
                                                        • Expert problem solving skills including understanding of financial modelling

                                                        • -
                                                        • Proficient in SQL, Excel, SAS, Word, and PowerPoint

                                                        • -
                                                        • Experience with modern analytical tools and technology stacks; Python, GitHub, AWS, HDFS, etc.

                                                        • -
                                                        • Experience with Data Visualization tools such as Python (Matplotlib, Plotly, Seaborn) and Tableau

                                                        • -
                                                        • Ability to design and deliver compelling presentations to senior management and other stakeholders

                                                        • -
                                                        • Strong communication skills and ability to simplify and explain complex technical concepts

                                                        • -
                                                        • Ability to develop effective and collaborative relationships (e.g. with stakeholders, credit bureaus, and remote teams)

                                                        • -
                                                        • Demonstrated abilities for critical thinking and numerical analysis

                                                        • -
                                                        • University degree in a quantitative field of study (e.g. statistics, engineering, economics, finance, computer science, data science or science)

                                                        • +
                                                        • Strong fundamental understanding of statistics
                                                        • +
                                                        • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                        • +
                                                        • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                        • +
                                                        • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                        • +
                                                        • Knowledge of credit risk models / scorecards

                                                        -

                                                        Nice-to-have

                                                        -
                                                        • Experience with credit risk

                                                        -

                                                        -

                                                        -

                                                        What’s in it for you?

                                                        -

                                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                        +

                                                        Nice To Have's

                                                          -
                                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, fair compensation, commissions, and stock where applicable

                                                        • -
                                                        • Leaders who help your development through coaching and managing opportunities

                                                        • -
                                                        • Ability to make a difference and lasting impact

                                                        • -
                                                        • Work in a dynamic, collaborative, progressive, and high-performing team

                                                        • +
                                                        • Proficient reading, writing and speaking Spanish (not required)
                                                        • +
                                                        • Experience developing credit risk models / scorecards
                                                        • +
                                                        • Domain expertise with any retail & small business banking products and/or risk management practices
                                                        • +
                                                        • FRM, CFA credentials
                                                        • +
                                                        • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                        • +
                                                        • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                        • +
                                                        • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                        • +
                                                        +

                                                        What's In it For You?

                                                        +
                                                          +
                                                        • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                        • +
                                                        • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                        • +
                                                        • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                        • +
                                                        • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                        • +
                                                        • A competitive compensation package

                                                        +

                                                        This position is located in downtown, Toronto. There are two positions available.

                                                        -

                                                        Job Summary

                                                        -

                                                        Address:

                                                        TORONTO, Ontario, Canada

                                                        City:

                                                        CAN-ON-TORONTO

                                                        Country:

                                                        Canada

                                                        Work hours/week:

                                                        37.5

                                                        Employment Type:

                                                        Full time

                                                        Platform:

                                                        Group Risk Management

                                                        Job Type:

                                                        Regular

                                                        Pay Type:

                                                        Salaried

                                                        Posted Date:

                                                        2022-10-06-07:00

                                                        Application Deadline:

                                                        2022-10-21-07:00
                                                        -

                                                        Inclusion and Equal Opportunity Employment

                                                        -

                                                        At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                        ​​​​​​​
                                                        We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                        -
                                                        -

                                                        Join our Talent Community

                                                        Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                        Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                        -
                                                        ",,https://jobs.rbc.com/ca/en/job/R-0000033077/Manager-Retail-Credit-Cards-Strategy-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-10-27T17:53:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/157403801-manager-retail-credit-cards-strategy-analytics-at-rbc,,expired,2022-10-17T17:12:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -1a993dcd-a5ea-48c3-bc0a-262acc004ad9,159059179,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2022-10-22T17:19:04.831Z,"

                                                        Req Id: 383180

                                                        -

                                                        -

                                                        At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                                        -

                                                        -

                                                        If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                        -

                                                        -

                                                        Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                        -

                                                        This is an excellent opportunity for the right person to join our team and play a key role transforming the organization. If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                                                        -

                                                        Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                                                        -

                                                        -

                                                        Key responsibilities may include:

                                                        +

                                                        Location(s): Canada : Ontario : Toronto

                                                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                        ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-Global-Risk-Management-ON/554944317/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-03-10T22:05:48.175Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/108161696-manager-decisioning-models-retail-small-business-global-risk-management-toronto-on-at-scotiabank,,expired,2022-02-08T22:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +046d160a-6a32-443e-a08e-5cbd558ac356,111956898,Shopify Inc.,Data Engineer,on_site,"Ontario, Canada",2022-03-03T07:33:11.264Z,"

                                                        About the role

                                                        +

                                                        We support Shopify in making better decisions. We deploy and maintain a variety of scalable technologies for extracting and transforming a multitude of different sources of data, including Shopify’s operational databases. We have a petabyte scale YARN cluster running Apache Spark for transformation, and a variety of analytics technologies on top of it.

                                                        +

                                                        We\'re looking to find passionate and diverse software developers who get excited about how data can empower millions of merchants that use Shopify today. Apply now to join us.

                                                        +

                                                        +

                                                        Qualifications

                                                        You should have:

                                                          -
                                                        • This is an Agile development environment, working with the latest BI visualization tools and technologies
                                                        • -
                                                        • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                                                        • -
                                                        • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                                                        • -
                                                        • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                                                        • -
                                                        • Deliver on key projects and data strategies that directly support key business drivers
                                                        • -
                                                        • Work with and opportunity to present to various management levels
                                                        • -
                                                        • Maintain and expand your knowledge of BI and current technology through training opportunities
                                                        • +
                                                        • A variety of software development experience - you are proficient with things like software design patterns, code review, multiple languages and paradigms, TDD, etc.
                                                        • +
                                                        • Database experience - you are familiar with things like SQL query authoring, table design patterns for OLAP and OLTP, a variety of databases, and the tradeoffs between them
                                                        • +
                                                        • Experience with building and maintaining distributed systems and knowledge of the associated patterns, concerns, and tradeoffs
                                                        • +
                                                        • Demonstrated ability to work in multiple languages and platforms
                                                        -

                                                        -

                                                        Required Competencies:

                                                        +

                                                        It\'d be nice if you had:

                                                          -
                                                        • -You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                                                            -
                                                          • Business analytics / business intelligence
                                                          • -
                                                          • applied math,
                                                          • -
                                                          • computer science,
                                                          • -
                                                          • applied science / engineering,
                                                          • -
                                                          • economics/econometrics,
                                                          • -
                                                          • Commerce
                                                          • -
                                                          • management science / operations research
                                                          • -
                                                          • or related area
                                                          • +
                                                          • Python, Spark, Scala, Go, or Java
                                                          • +
                                                          • Cloud Computing (Google Cloud, AWS, Azure)
                                                          • +
                                                          • Optimized storage strategies such as columnar file formats, partitioning, bucketing, and bloom filters
                                                          -
                                                        • -
                                                        • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                                        • -
                                                        • You are highly analytical and understand the basic principles of working with large and complex data sets
                                                        • -
                                                        • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                        • -
                                                        • You have the ability to work with a team towards common goals
                                                        • -
                                                        • You are able to manage multiple projects and priorities.
                                                        • -
                                                        • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                                                        • +
                                                        +
                                                        +
                                                        +

                                                        At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

                                                        +
                                                          +

                                                          Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                          +

                                                          Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                          +

                                                          At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                          How we hire

                                                          At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                          Learn more about our hiring process +
                                                          +
                                                          +
                                                          +
                                                          ",,https://www.shopify.ca/careers/data-engineer_4d2eeb3b-b6b7-4896-9172-f1562bb9cac4,feed-importer@jobboard.io,,,,2022-03-10T07:38:03.849Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/111956898-data-engineer-at-shopify-inc,,expired,2022-03-03T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +9ea7c052-90fd-48d6-afa0-135ab2fe21b4,112306397,Google,"Research Intern, PhD, Summer 2022",on_site,"Ontario, Canada",2022-03-05T07:33:03.056Z,"
                                                          +2022-03-03T17:32:10.157Z
                                                          +
                                                            +
                                                          • Share
                                                          • +
                                                            Save +
                                                          • +

                                                          Research Intern, PhD, Summer 2022

                                                            +
                                                          • Google
                                                          • +
                                                          • In-office:
                                                            + Waterloo, ON, Canada +
                                                          • +
                                                          • + 1 more location
                                                          • +
                                                          +
                                                          +
                                                          +

                                                          +

                                                          Please complete your application before April 8th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                          +

                                                          NOTE: This internship is intended for students who are pursuing a PhD degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                          +

                                                          To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                          Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                          +
                                                          +

                                                          Qualifications

                                                          +

                                                          Minimum qualifications:

                                                          +
                                                            +
                                                          • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                          • +
                                                          • Experience in one area of computer science, e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar.
                                                          -

                                                          -

                                                          Preferred Competencies:

                                                          +

                                                          Preferred qualifications:

                                                            -
                                                          • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                                          • -
                                                          • Experience with BI and data warehouse technologies
                                                          • -
                                                          • Basic working knowledge of project management steps
                                                          • -
                                                          • Experience in Telecommunications
                                                          • +
                                                          • Currently attending a degree program in Canada.
                                                          • +
                                                          • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                          • +
                                                          • Relevant experience as a researcher, including internships, full-time, or at a lab.
                                                          • +
                                                          • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
                                                          • +
                                                          • Experience with one or more general purpose programming languages
                                                          • +
                                                          • Ability to speak and write in English fluently.
                                                          +
                                                          +
                                                          +
                                                          +

                                                          About the job

                                                          +

                                                          Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                          Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                          +

                                                          Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                          Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                          +
                                                          +
                                                          +
                                                          +

                                                          Responsibilities

                                                            +
                                                          • Develop and execute a research agenda
                                                          • +
                                                          • Create and support a productive and innovative team, including working with peers, managers, and teams.
                                                          • +
                                                          +
                                                          +
                                                          +

                                                          Locations

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                                                          +To navigate, press the arrow keys.
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                                                          Keyboard shortcuts
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                                                          Map data ©2022 Google
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                                                          Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                          +
                                                          +
                                                          +
                                                          ",,"https://careers.google.com/jobs/results/78954456739128006-research-intern-phd-summer-2022/?distance=50&location=Toronto,%20Canada&q=data",feed-importer@jobboard.io,,,,2022-03-10T07:38:03.849Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/112306397-research-intern-phd-summer-2022-at-google,,expired,2022-03-05T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +b3043a26-bb9d-48c0-8770-19bbbec63faf,107306281,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-02-03T21:42:09.075Z,"
                                                          Available Locations
                                                          Vancouver

                                                          What\'s the opportunity?

                                                          +
                                                          +

                                                          We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                                                          -

                                                          #EmployeeReferralProgram

                                                          -

                                                          -

                                                          Adequate knowledge of French is required for positions in Quebec.

                                                          -

                                                          -

                                                          Additional Information:

                                                          -

                                                          Position Type: Management
                                                          Job Status:
                                                          Regular - Full Time
                                                          Job Location:
                                                          Canada : Ontario : Mississauga
                                                          Flexible work profile :
                                                          Mobile
                                                          Application Deadline: 10/31/2022

                                                          -

                                                          -

                                                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                          -

                                                          -

                                                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                          -

                                                          -

                                                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                          -

                                                          -

                                                          Created: Canada, ON, Mississauga

                                                          -

                                                          #Talent #Indeed #Tech

                                                          -

                                                          Bell, one of Canada's Top 100 Employers.

                                                          ",,https://jobs.bell.ca/ca/en/job/BECACA383180EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-10-27T17:09:00.000Z,False,0,7,17,https://talenthub.vectorinstitute.ai/jobs/159059179-data-analyst-business-intelligence-at-bell-canada,BECACA383180EXTERNALENCA,expired,2022-10-22T17:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -99b41755-7fa9-4196-8773-10f5f5259b32,157650356,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2022-10-18T17:31:35.401Z,"
                                                          -

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          -

                                                          -

                                                          Job Description:

                                                          -

                                                          Do you have a passion for data? Do you like analyzing numbers to provide meaningful insights? Do you like making an impact on the business around you? A role as Data Analyst at Sun Life Financial might be right for you!

                                                          -

                                                          -

                                                          We are looking for a Data Analyst in the Business Intelligence team. The Data Analyst will support the development of new reports/tools, recurring report generation, analysis of key results, and ad hoc investigation for the Client Engagement teams, providing actionable insights to drive the business forward.

                                                          -

                                                          -

                                                          The incumbent will also provide project support, acting as an advocate for data issues as well as representing the business needs for our stakeholders. The Business Intelligence team comprises of business data analysts at various levels of increasing responsibility and scope, providing a great career path for the right candidate

                                                          -

                                                          -

                                                          What will you do:

                                                          +

                                                          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                          +

                                                          Your responsibilities include:

                                                            -
                                                          • Work closely with business stakeholders to transform complex business problems into addressable analytical questions and queries
                                                          • -
                                                          • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives
                                                          • -
                                                          • Ensure the accurate and timely completion of all baseline reporting, ad-hoc requests and project initiatives.
                                                          • -
                                                          • Prioritize projects on a monthly basis and align with leaders of the business team
                                                          • -
                                                          • Stay abreast of Client Engagement processes and results, raising emerging trends and continuous improvement ideas to Management
                                                          • -
                                                          • Enable leaders to make timely data-driven product, market-development, and distribution decisions.
                                                          • +
                                                          • Designing, building, and improving machine learning-based software solutions
                                                          • +
                                                          • Collaborating with research and business teams to converge on the best solutions
                                                          • +
                                                          • Optimizing algorithms and prototypical solutions for efficient implementation
                                                          • +
                                                          • Supporting projects with thorough documentation of usage, design decisions and capabilities
                                                          -

                                                          -

                                                          What do you need to succeed?

                                                          +

                                                          You\'re our ideal candidate if you:

                                                            -
                                                          • 3+ years’ experience in a Data Analyst or Performance Analyst role
                                                          • -
                                                          • Advanced SAS Enterprise Guide or SQL Server/ MySQL
                                                          • -
                                                          • Advanced experience with visual analytics tools e.g. Tableau
                                                          • -
                                                          • Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic
                                                          • -
                                                          • Experience/exposure to Big Data tools (i.e. Hive, Python)
                                                          • -
                                                          • Customer and results focused, with an ability to work with stakeholders to understand and act based on their needs, assess risks, and achieve a valued result
                                                          • -
                                                          • Comfortable with ambiguity and able to operate in a matrix environment with complex tasks
                                                          • -
                                                          • Proven problem solving skills with the ability to break down high-level data into easily communicated information
                                                          • -
                                                          • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment
                                                          • -
                                                          • Comfortable learning new applications and processes quickly with minimal direction
                                                          • -
                                                          • Proven client orientation, strong interpersonal skills
                                                          • -
                                                          • Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma)
                                                          • -
                                                          • Experience in assessing marketing campaigns in various channels (establishing control, measuring ROI)
                                                          • -
                                                          • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
                                                          • +
                                                          • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                                                          • +
                                                          • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                                                          • +
                                                          • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                                                          • +
                                                          • Familiarity with the Unix command line and bash scripting
                                                          • +
                                                          • Familiarity with RDBMS and/or NoSQL graph databases
                                                          • +
                                                          • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                          -

                                                          -

                                                          What\'s in it for you?

                                                          +
                                                          +

                                                          What\'s in it for you?

                                                            -
                                                          • Great Place to Work® Certified in Canada and the US.
                                                          • -
                                                          • Named 2021 “Best Places to Work” by Glassdoor
                                                          • -
                                                          • Canada Award for Excellence for Mental Health at Work - 2021
                                                          • -
                                                          • Flexible hybrid work model including in-country work-from-home if you prefer.
                                                          • -
                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                          • -
                                                          • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives
                                                          • -
                                                          • A friendly, collaborative, and inclusive culture
                                                          • -
                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
                                                          • -
                                                          • #LI-Remote
                                                          • +
                                                          • Build cutting-edge software solutions that impact millions of users
                                                          • +
                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                                                          • +
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                                                          • +
                                                          • Leaders who support your development through coaching and managing opportunities
                                                          • +
                                                          • Ability to make a difference and lasting impact from a local-to-global scale
                                                          -

                                                          -

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          -

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          -

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          -

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          -

                                                          -

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          -

                                                          -

                                                          Salary Range:

                                                          53,300/53 300 - 86,300/86 300

                                                          -

                                                          Job Category:

                                                          Advanced Analytics

                                                          -

                                                          Posting End Date:

                                                          30/10/2022
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00060999?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-10-31T17:06:00.000Z,False,0,5,32,https://talenthub.vectorinstitute.ai/jobs/157650356-data-analyst-at-sun-life-financial,,expired,2022-10-18T17:31:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -c774f624-ab81-43e0-a373-0243e214b565,159575545,Sun Life Financial,Senior Business Data Engineer,on_site,"Ontario, Canada",2022-10-24T17:33:01.756Z,"
                                                          -

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          -

                                                          -

                                                          Job Description:

                                                          -

                                                          -

                                                          At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                          -

                                                          -

                                                          Role Summary:

                                                          -

                                                          -

                                                          The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                                          +

                                                          About Borealis AI

                                                          +

                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                          +

                                                          Inclusion and Equal Opportunity Employment

                                                          +

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:01:37.409Z,False,0,5,33,https://talenthub.vectorinstitute.ai/jobs/107306281-machine-learning-software-engineer-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +442ef64a-d5da-4f40-815d-89fa9d9dbdf5,107306279,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-02-03T21:42:08.943Z,"

                                                          What\'s the opportunity?

                                                          +
                                                          +

                                                          We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                          -

                                                          Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                                          -

                                                          -

                                                          What will you do?

                                                          +

                                                          As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                          +

                                                          Your responsibilities include:

                                                          +
                                                            +
                                                          • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                          • +
                                                          • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                          • +
                                                          • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                          • +
                                                          • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                          • +
                                                          • Grow and develop the team, helping each team member advance in their career.
                                                          • +
                                                          +

                                                          You\'re our ideal candidate if you:

                                                            -
                                                          • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                                          • -
                                                          • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                                          • -
                                                          • Ensure high level of data quality and data integrity are maintained across data sources for business

                                                          • -
                                                          • Convert complex business and technical rules into logic for data flows and data pipelines

                                                          • -
                                                          • Work with our Data Science teams to implement data products for various use cases

                                                          • -
                                                          • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                                          • -
                                                          • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                                          • +
                                                          • Have 7+ years of experience delivering software projects to production;
                                                          • +
                                                          • Have experience managing a team of engineers;
                                                          • +
                                                          • Have experience developing modular, robust, scalable software in a modern programming language;
                                                          • +
                                                          • Experience working with business, product and other technical teams;
                                                          • +
                                                          • Experience with scaling and performance of large systems;
                                                          • +
                                                          • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                          • +
                                                          • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                          • +
                                                          • Have background in machine learning or a related field;
                                                          • +
                                                          • Experience with Capital Markets or any financial domain is a big plus.
                                                          -

                                                          -

                                                          What do you need to succeed?

                                                          +
                                                          +

                                                          What\'s in it for you?

                                                            -
                                                          • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL

                                                          • -
                                                          • 3 years experience in Pyspark and SQL

                                                          • -
                                                          • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                                          • -
                                                          • 3-5 years experience with engineering data products as input to various analytical models

                                                          • -
                                                          • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                                          • -
                                                          • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                                          • -
                                                          • Sound understanding of data modelling and a passion for analytics

                                                          • -
                                                          • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                          • -
                                                          • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                          • -
                                                          • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                                          • -
                                                          • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                                          • -
                                                          • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                                          • +
                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                          • +
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                          • +
                                                          • Leaders who support your development through coaching and managing opportunities;
                                                          • +
                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                          +

                                                          About Borealis AI

                                                          +

                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                          +

                                                          Inclusion and Equal Opportunity Employment

                                                          +

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-03-10T15:00:32.725Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/107306279-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-02-03T21:42:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +6ae8a40a-ade7-485f-96cf-aae5b36b2ace,112942528,TD Bank Group,Business Intelligence and Reporting Analyst III,on_site,"Toronto, ON",2022-03-07T20:33:04.738Z,"
                                                          +

                                                          Company Overview

                                                          +
                                                          +

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          +

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          +

                                                          -

                                                          Education and Qualifications:

                                                          -
                                                            -
                                                          • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                                          • -
                                                          • Graduate degree in business or quantitative science strongly preferred

                                                          • -
                                                          +

                                                          Department Overview

                                                          +
                                                          +

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                          +

                                                          The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                          +

                                                          This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                          +

                                                          Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                          +

                                                          -

                                                          Unique Requirements

                                                          +

                                                          Job Description

                                                          +
                                                          +

                                                          Looking for a role where career opportunity and growth keeps pace with your own initiative and growing knowledge in business intelligence?

                                                          +

                                                          In this role, you will work with a focused, specialized team to provide specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities. As an experienced Analyst, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

                                                          +

                                                          As an Analyst III, Business Intelligence & Reporting Analyst, you will:

                                                            -
                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                          • -
                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                          • +
                                                          • Produce specialized reporting packages, dashboards and scorecards for businesses, with focus on the following functions: to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision-making,
                                                          • +
                                                          • Own the implementation of initiatives in support of overall business/function strategy
                                                          • +
                                                          • Conduct analysis to provide enhanced BI to inform management leadership team
                                                          • +
                                                          • Create complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                          • +
                                                          • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                                          • +
                                                          • Develop important and insightful commentary/insights on new and existing reporting packages.
                                                          • +
                                                          • Work with business partners to understand business objectives and develop valuable reporting and ad-hoc data extracts
                                                          • +
                                                          • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                          • +
                                                          • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                          • +
                                                          • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                          • +
                                                          • Demonstrate your professional experience to provide specialized guidance/assistance to function supported
                                                          • +
                                                          • Employ good understanding of reporting and BI tools, platforms, and techniques as well as strong knowledge of various data sources (and ability to connect to multiple data sources and systems relevant to the business unit supported)
                                                          • +
                                                          • Connect and query data or obtain the data and prepare summaries and reports
                                                          • +
                                                          • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or raised issues and other matters
                                                          • +
                                                          • Independently perform tasks end to end
                                                          -

                                                          -

                                                          What would be nice to have?

                                                          -
                                                            -
                                                          • Understand and Embrace Agile Operating Model

                                                          • -
                                                          • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                                          • -
                                                          • Experience working in a large financial services organization

                                                          • -
                                                          • Knowledge of fundamental statistical models & techniques

                                                          • +
                                                          +

                                                          +

                                                          Requirements

                                                          +
                                                          +

                                                          What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          +
                                                            +
                                                          • Undergraduate degree or technical certificate
                                                          • +
                                                          • Three (3) or more years relevant experience
                                                          +

                                                          -

                                                          What\'s In It For You?

                                                          +

                                                          Additional Information

                                                          +
                                                          Must have skills:

                                                            -
                                                          • Great Place to Work® Certified in Canada and the US - 2022

                                                          • -
                                                          • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                          • -
                                                          • Named “Best Places to Work” by Glassdoor - 2021

                                                          • -
                                                          • Canada Award for Excellence for Mental Health at Work - 2021

                                                          • -
                                                          • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                          • -
                                                          • Competitive salary and bonus structure influenced by market range data

                                                          • -
                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                          • -
                                                          • A friendly, collaborative, and inclusive culture

                                                          • -
                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                          • -
                                                          • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                          • +
                                                          • Creating Reports and Dashboards
                                                          • +
                                                          • Data Analysis
                                                          +

                                                          Nice to have:

                                                          +
                                                            +
                                                          • SQL
                                                          • +
                                                          • Tableau
                                                          • +
                                                          +

                                                          +

                                                          Hours

                                                          +
                                                          37.5

                                                          -

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          -

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          -

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          -

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          -

                                                          -

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          +

                                                          Inclusiveness

                                                          +

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          -

                                                          Salary Range:

                                                          74,100/74 100 - 120,800/120 800

                                                          -

                                                          Job Category:

                                                          Advanced Analytics

                                                          -

                                                          Posting End Date:

                                                          28/10/2022
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Data-Engineer_JR00064435?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-10-31T17:02:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/159575545-senior-business-data-engineer-at-sun-life-financial,,expired,2022-10-24T17:33:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -31a4e556-09a0-49a6-8076-09d1b843715c,155322766,TELUS,Data/ML Engineer,on_site,"Ontario, Canada",2022-10-06T07:35:14.337Z,"
                                                          -
                                                          -

                                                          Description

                                                          -
                                                          +
                                                          ",,https://jobs.td.com/en-CA/jobs/15051070/business-intelligence-and-reporting-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-03-10T15:15:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/112942528-business-intelligence-and-reporting-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15051070/business-intelligence-and-reporting-analyst-iii-toronto-ca/,expired,2022-03-07T20:33:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c4a3e03d-8d8a-4a99-8b71-b7074aa9edb3,107982758,integrate.ai,Software Engineer,full,Toronto or Remote (within 5 hours of ET),2022-02-08T05:02:47.898Z,"

                                                          At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                          +

                                                          We are looking for an incredible Software Engineer who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                          +

                                                          Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                          +

                                                          What you will be doing:

                                                          +
                                                            +
                                                          • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                          • +
                                                          • Building impactful services and features in a way that you can be proud of
                                                          • +
                                                          • Operating services at scale and with world class reliability
                                                          • +
                                                          • Extending and improving your services to drive better outcomes for people
                                                          • +
                                                          • Contributing to the growth and development of your colleagues and the company
                                                          • +
                                                          • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                          • +
                                                          • Building client facing and internal web applications
                                                          • +
                                                          • Working with Data Scientists to create robust machine learning applications
                                                          • +
                                                          • Be responsible for designing and implementing features for several large projects
                                                          • +
                                                          • Participating in infrastructure development and operations
                                                          • +
                                                          • Managing existing codebase and developing new products for customers
                                                          • +
                                                          • Implementing integration with existing customer systems and providing support and documentation
                                                          • +
                                                          • Participating in agile project planning and estimation
                                                          • +
                                                          • Providing on-demand developer support directly to clients and their partners
                                                          • +
                                                          +

                                                          We Value:

                                                          +
                                                            +
                                                          • 5+ years experience writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                          • +
                                                          • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                          • +
                                                          • Experience shipping code to production
                                                          • +
                                                          • The ability to give constructive feedback on code reviews
                                                          • +
                                                          • Experience with relational databases and SQL
                                                          • +
                                                          • Superior understanding of computer science fundamentals
                                                          • +
                                                          • Understanding of value and operational cost of delivered solutions
                                                          • +
                                                          • Working in an agile environment
                                                          • +
                                                          • Experience with AWS/GCP infrastructure is a plus
                                                          • +
                                                          • Great desire and willingness to learn
                                                          • +
                                                          • Contributions to the growth and success of your teammates
                                                          • +
                                                          +

                                                          +

                                                          The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                          +

                                                          We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                          ",,https://boards.greenhouse.io/integrateai/jobs/5892217002,feed-importer@jobboard.io,,,,2022-03-10T15:19:37.092Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/107982758-software-engineer-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5892217002,expired,2022-02-08T05:02:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, +b831ba83-29fc-4d88-a863-dcab7994c147,111371906,Scotiabank,THRIVE Summer Internship Program (Summer 2022),on_site,Canada : Ontario : Toronto,2022-03-01T05:05:56.739Z,"

                                                          -

                                                          Join our team

                                                          -

                                                          Join the Procurement Analytics Center of Excellence (PACE) and TELUS, and support our mission to transform the chief procurement office (CPO) into a fully digital organization where data is at the heart of every decision we make. Enable stakeholders to efficiently evolve and consume actionable insights through transformation strategies.

                                                          -

                                                          We are an advanced data and AI team thriving on solving business problems and supporting procurement decisions using the power of data, advanced analytics, and reliable software. We provide end-to-end support from strategy and development to deployment and monitoring of all assets, including machine learning model, Tableau dashboards, and data engineering ETLs using cutting-edge cloud technologies (e.g., Google BigQuery and GCP AI Platform), open source tools (e.g., Python, DBT, Nifi, Sklearn, NLTK, Tensorflow), and enterprise products (e.g., Tableau, GitHub, Terraform).

                                                          +

                                                          Requisition ID: 138693

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          -

                                                          In achieving our goal of enabling data-driven decision-making in CPO, the PACE team is looking for an experienced data/ML engineer who can interpret the requirements of data and analytics use cases and scenarios, and drive the design and implementation of data pipelines and models to enable insights and analytics leading to better business decisions.

                                                          -


                                                          What you’ll do:

                                                          + +

                                                          THRIVE Summer Internship Program (Toronto)

                                                          Summer 2022 (June to August)

                                                          -

                                                          As a Data/ML Engineer in PACE’s Insight Generation team, you will be responsible for developing, maintaining, and evolving our MLOps methodology for continuous delivery and integration of our data and model assets. You are also accountable for ingesting data from various sources and validating, normalizing, and cleaning data for business use, and deploying & maintaining ML models in production. The expectation is to go above and beyond your role in working with like-minded, entrepreneurial colleagues to strengthen the availability and reliability of our data following the state-of-the-art MLOps tech stack to support our data-driven decision-making culture. In this role, you are responsible to:

                                                          -
                                                            -
                                                          • Developing, maintaining, and evolving our MLOps methodology
                                                          • -
                                                          • Design & build data extraction, loading, and transformation pipelines, and data products across on-prem and cloud platforms
                                                          • -
                                                          • Help integrate large datasets stemming from multiple data sources to be later used for data modeling and visualization
                                                          • -
                                                          • Own, design, and build the data pipelines feeding into our machine learning models
                                                          • -
                                                          • Own and develop relationships with various internal and external teams/vendors to bring data from across the organization to our central data/ML platform in the cloud
                                                          • -
                                                          • Bring systems design experience with the ability to architect and explain complex systems interactions, data flows, standard interfaces, and APIs
                                                          • -
                                                          • Assist in the extracting, loading, transforming, cleaning, and validating of data
                                                          • -
                                                          • Develop test strategies and site reliability engineering measures for data products & solutions
                                                          • -
                                                          • Supervise or contribute to quality assurance efforts to make sure that the ingested data has and keeps the expected quality
                                                          • -
                                                          • Look proactively at opportunities to blend data across different enterprise systems to generate actionable insights that drive business value
                                                          • -
                                                          • Perform technical data stewardship tasks including metadata management, security, and privacy by design
                                                          • -
                                                          • Mentor and coach other peers at PACE and upskill stakeholders to adopt and utilize reports, dashboards, and insights to inform day-to-day decision-making
                                                          • -
                                                          +

                                                          Application Deadline: February 19th at 11:59 pm EST

                                                          -
                                                          -
                                                          -
                                                          -

                                                          Qualifications

                                                          -
                                                          -

                                                          +

                                                          Why work for Scotiabank?

                                                          +

                                                          Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                          +

                                                          This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                          +


                                                          Who we are:

                                                          -

                                                          Who you are:

                                                          +

                                                          Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                          -
                                                            -
                                                          • Hold PhD or Master\'s degree with a major in computer science, software engineering, or applied mathematics (or related quantitative disciplines)
                                                          • -
                                                          • Minimum 7 years of experience with SQL and database proficiency
                                                          • -
                                                          • Minimum 5 years of experience with Python
                                                          • -
                                                          • Minimum 2 years of experience with databases and data pipelines on cloud platforms
                                                          • -
                                                          • Minimum 5 years of experience using data extraction and processing technologies.
                                                          • -
                                                          • Minimum 2 years of data solution architecture and design
                                                          • -
                                                          • Prior experience with Agile and Jira
                                                          • -
                                                          • Excellent communication and presentation skills
                                                          • -
                                                          • Ability to communicate data analytics and insights to business stakeholders
                                                          • -
                                                          • Ability to work and collaborate with team members
                                                          • -
                                                          +

                                                          Your Summer at-a-glance:

                                                          +

                                                          +

                                                          This is YOUR opportunity to learn from the best of the best and set yourself up for career success. The first month of this paid internship will focus on giving you all the skills you need to be successful, including Wall Street Prep courses, Bloomberg learning, Cap IQ, case competitions, wellness challenges, and a coding course. In your second month, you’ll get to put all the learning to use as you spend time job shadowing in Global Capital Markets and Corporate & Investment Banking.

                                                          +

                                                          +

                                                          Throughout the summer you’ll also benefit from a mentorship program that pairs you with mentors from Corporate and Investment Banking and Global Capital Markets to support your learning and answer any questions you might have! You will also attend regular business line fireside talks to learn all the ins and outs of working in CIB and GCM at Scotiabank.

                                                          +

                                                          +

                                                          Sounds exciting? There’s more! Because we’re Canada’s most international bank, we had to include a little adventure! Subject to Covid restrictions, you’ll be participating in a 4-day trip to New York City, where you’ll get the chance to meet the team in New York, network with business leaders, and enjoy the sights!

                                                          +

                                                          +

                                                          And that’s not all! This internship program secures your Summer 2023 internship in Investment Banking or Sales and Trading!

                                                          +

                                                          +

                                                          Eligibility:

                                                          +

                                                          +

                                                          · Identify as a female pursuing a STEM degree OR identify as black OR identify as indigenous

                                                          +

                                                          · Currently in 2nd year of Undergraduate study (not MBA/Master)

                                                          +

                                                          · Proven record of outstanding achievement in academic and extracurricular activities

                                                          +

                                                          · A clearly defined interest in Finance and the Financial Markets

                                                          +

                                                          · Strong quantitative skills

                                                          +

                                                          · Strong written and verbal communication skills

                                                          +

                                                          · A high level of attention to detail

                                                          +

                                                          · High professional standards

                                                          +

                                                          · Demonstrated ability to quickly adapt to new situations

                                                          +

                                                          · A strong sense of personal integrity and teamwork

                                                          +

                                                          · A high level of energy and a keen desire to learn new concepts

                                                          +

                                                          · Independent thinker and proven ability to make decisions

                                                          -

                                                          Great-to-have:

                                                          +

                                                          How do I Apply?

                                                          +

                                                          +

                                                          You MUST complete ALL steps outlined below to be considered for this position. Incomplete applications will not be considered.

                                                          +

                                                          +

                                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                                          -
                                                            -
                                                          • Knowledge and experience with Google Cloud Platform (GCP), including Google BigQuery
                                                          • -
                                                          • GCP Professional Data Engineering certification
                                                          • -
                                                          • Experience with job scheduling platforms and Orchestration (Apache NiFi, Apache airflow)
                                                          • -
                                                          • Familiar and preferably experienced with the life cycle of machine learning model development, deployment, and operationalization in large enterprises
                                                          • -
                                                          • Familiar with software development methodologies and best practices
                                                          • -
                                                          • DevOps and MLOPs practices and tools experience
                                                          • -
                                                          • Quality Assurance & Site Reliability Engineering
                                                          • -
                                                          • Familiarity with Data Build Tool (DBT)
                                                          • -
                                                          • Knowledge and experience with SAP S4 HANA, SAP ECC is a big asset
                                                          • -
                                                          +

                                                          1) Complete your PLUM Profile here

                                                          +

                                                          2) Take a screenshot of your completed PLUM profile

                                                          +

                                                          3) Complete a very short one-way video interview by clicking here

                                                          +

                                                          4) Apply to the position by clicking “Apply” on the job description page. When completing your application, it will prompt you to submit your resume. Do not attach your resume! Instead, attach the screenshot of your PLUM profile and your Transcript under the ""resume"" section. Cover letters are optional – not required.

                                                          +

                                                          We thank you all for your interest in Scotiabank! However, only those selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                          -
                                                          -
                                                          -
                                                          ",,https://careers.telus.com/job/Vancouver-DataML-Engineer-Brit/563284117/,feed-importer@jobboard.io,,,,2022-11-05T13:57:48.003Z,False,0,5,53,https://talenthub.vectorinstitute.ai/jobs/155322766-data-ml-engineer-at-telus,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,PhD,New Posting, -826443f1-c325-4818-afb4-188b1566f52e,155429728,Borealis AI,Data Analyst - Secondment Position,on_site,"Ontario, Canada",2022-10-07T01:59:06.338Z,"
                                                          -

                                                          What’s the opportunity?

                                                          -

                                                          Borealis AI is looking for an expert Data Analyst Lead to own the data domain for our Credit portfolio to drive our development of state of the art machine learning models. In this role, the Data Analyst Lead will work closely with our partner teams at RBC to explore and discover various data sources that might be of interest to our research, analyze the data to understand its properties and semantics, work alongside our researchers to provide the datasets needed for ML model development, and collaborate with our engineering team to develop data tools and automated pipelines in productionization of the models. The successful candidate will use their talent and expertise to own the data domain and make if available with all parties involved through effective communication and thorough documentation.

                                                          -

                                                          Qualifications:

                                                          -
                                                            -
                                                          • Expert in SQL and SAS
                                                          • -
                                                          • Deep understanding of database concepts
                                                          • -
                                                          • Experienced in Python and packages such as Numpy and Pandas
                                                          • -
                                                          • Experience using Jupiter notebooks
                                                          • -
                                                          • Solid background in statistics
                                                          • -
                                                          • Self-motivated and results oriented
                                                          • -
                                                          • Ability to work with vague requirements
                                                          • -
                                                          • Ability to work in a multi-disciplinary team
                                                          • -
                                                          -

                                                          What’s in it for you?

                                                          +

                                                          Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                                          +

                                                          +

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-THRIVE-Summer-Internship-Program-%28Summer-2022%29-ON/554528017/,feed-importer@jobboard.io,,,,2022-03-11T05:11:14.607Z,False,0,0,40,https://talenthub.vectorinstitute.ai/jobs/111371906-thrive-summer-internship-program-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-THRIVE-Summer-Internship-Program-%28Summer-2022%29-ON/554528017/,expired,2022-03-01T05:05:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +2190b888-d7a1-4564-86e1-7b4c6e5e1c3c,109876468,integrate.ai,"Vice President, Engineering",on_site,Toronto,2022-02-20T05:05:09.412Z,"

                                                          At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                          +

                                                          We’re looking for a Vice President, Engineering with extensive experience in software-as-a-service products on modern cloud infrastructure, with a particular focus on business-to-business products in enterprise environments. Experience with data-driven and/or machine learning systems will also be a significant asset.

                                                          +

                                                          Integrate.ai’s Vice President, Engineering will ultimately be responsible for ensuring that the product vision is realized through excellence in execution. They will do this by attracting and nurturing engineering talent, and creating the systems and processes that will allow the team to deliver against the roadmap.

                                                          +

                                                          +

                                                          Engineering Team & Culture

                                                            -
                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                          • -
                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                          • -
                                                          • Leaders who support your development through coaching and managing opportunities;
                                                          • -
                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                          • -
                                                          -

                                                          About Borealis AI

                                                          -

                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                          -

                                                          Inclusion and Equal Opportunity Employment

                                                          -

                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                          -
                                                          ",,https://www.borealisai.com/careers/?gh_jid=6427439002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-10T13:58:59.331Z,False,0,8,51,https://talenthub.vectorinstitute.ai/jobs/155429728-data-analyst-secondment-position-at-borealis-ai,,expired,2022-10-07T01:59:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -970cd9c5-a757-44e1-9b02-59925312f9ce,157650371,Sun Life Financial,"Director, Data Governance and Enablement",on_site,"Ontario, Canada",2022-10-18T17:31:35.816Z,"
                                                          -

                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                          -

                                                          -

                                                          -

                                                          Job Description:

                                                          -

                                                          -

                                                          Role Summary

                                                          -

                                                          -

                                                          The Data Enablement COE within the Client Experience Office (CXO) Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a more client centric, data driven organization.

                                                          -

                                                          -

                                                          We are looking for a Director, Data Governance and Enablement who is an experienced data governance practitioner with strong leadership and influencing skills to lead the development and management of a business led data governance program for our CXO and One Sun Data assets.

                                                          -

                                                          -

                                                          Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for Data Governance as we build a culture of business data ownership and focus on developing an offensive minded governance and enablement paradigm rather than a defense first mindset when it comes to building and consuming data asset to deliver on our commitments for achieving business value.

                                                          -

                                                          -

                                                          What will you do?

                                                          +
                                                        • Attract and retain top talent
                                                        • +
                                                        • Support, develop and manage people
                                                          • -
                                                          • Responsible for building and enabling a practical, business led Data Governance program for the CXO, while serving as a SME for other business units as well.

                                                          • -
                                                          • Develop and operationalize ""offense first"" mindset to the creation and consumption of data assets for the operations of the Data Governance program.

                                                          • -
                                                          • Oversee the day to day operations and adherence to Sun Life Canada\'s policies and procedures for enabling the use of data in partnership with stakeholders across IT, Privacy and Compliance.

                                                          • -
                                                          • Build a community of data owners and stewards with adequate clarity on their roles and responsibilities, while partnering up with IT to provide effective tools and frameworks to execute the job.

                                                          • -
                                                          • Responsible for oversight of strategic delivery of data enablement initiatives

                                                          • -
                                                          • Guide business units on data governance concepts to responsibly execute data governance, navigating the complex data landscape advocating for accountability, ethical use and transparency in all initiatives.

                                                          • -
                                                          • Develop and maintain data cataloging including metadata, data curation, knowledge management and a ""data marketplace"" to enable ease of understanding our data assets.

                                                          • -
                                                          • Embed a practical data quality program in partnership with IT, with a view on enabling metrics and KPI\'s for continuous improvement

                                                          • -
                                                          • Participate and influence the Canadian and global DG councils and steering committees as the representative of the SLF Canada business community

                                                          • -
                                                          • Become an organizational thought leader for the governance and enablement of data

                                                          • +
                                                          • Engage and energize the team
                                                          • +
                                                          • Communicate ideas and priorities clearly and in a manner that compels action and results
                                                          • +
                                                          • Identify good managers for the team, hire them, and be able to groom that skill set over time
                                                          -

                                                          -

                                                          What do you need to succeed?

                                                          -
                                                            -
                                                          • 7 years experience working in data and analytics environments.Proven track record of business-minded leadership

                                                          • -
                                                          • Minimum of 5 years experience in developing and implementing Data Governance, Data Policy, and Data Stewardship

                                                          • -
                                                          • Experience in making Data Governance function to be an enabler for business efficiency and results

                                                          • -
                                                          • Demonstrated experience of enabling practical and value driven data governance program

                                                          • -
                                                          • Expert communication skills (verbal and written), ability to communicate progress on initiatives in leadership forums.

                                                          • -
                                                          • Strong understanding of records and information management and data security and privacy concepts

                                                          • -
                                                          • Confidence, drive and the ability to work within a matrixed organization with a focus on business outcomes and value realization.

                                                          -

                                                          -

                                                          What will be nice to have?

                                                          +

                                                          Execution

                                                            -
                                                          • Practical experience with data management, data architecture and big data technologies an asset

                                                          • -
                                                          • Strong knowledge of Cloud-based capabilities and platforms, with experience in AWS an asset.

                                                          • -
                                                          • Experience with leading edge industry tools enabling data stewardship and data cataloging, with experience with Collibra an asset.

                                                          • -
                                                          • Consulting background is an asset

                                                          • +
                                                          • Ensure that the product vision is realized through excellence in execution
                                                          • +
                                                          • Ensure teams are appropriately resourced and structured to deliver against the roadmap
                                                          -

                                                          -

                                                          What’s in it for you?

                                                          +

                                                          Technical Leadership

                                                            -
                                                          • Great Place to Work® Certified in Canada and the US.

                                                          • -
                                                          • Named 2021 “Best Places to Work” by Glassdoor

                                                          • -
                                                          • Canada Award for Excellence for Mental Health at Work - 2021

                                                          • -
                                                          • Flexible hybrid work model including in-country work-from-home if you prefer.

                                                          • -
                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                          • -
                                                          • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                          • -
                                                          • A friendly, collaborative, and inclusive culture

                                                          • -
                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                          • +
                                                          • Co-develop technical strategy other technical leaders in the company, and develop and maintain a technical roadmap that enables continuous innovation
                                                          • +
                                                          • Provide technical leadership to ensure sound architectural design and software development
                                                          • +
                                                          • Develop technology strategy that influences product roadmap and helps define the art of the possible
                                                          -

                                                          -

                                                          -

                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                          -

                                                          -

                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                          -

                                                          -

                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                          -

                                                          -

                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                          -

                                                          -

                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                          -

                                                          -

                                                          Salary Range:

                                                          105,000/105 000 - 165,900/165 900

                                                          -

                                                          Job Category:

                                                          Advanced Analytics

                                                          -

                                                          Posting End Date:

                                                          31/10/2022
                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Governance-and-Enablement_JR00067710?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-11-03T14:08:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/157650371-director-data-governance-and-enablement-at-sun-life-financial,,expired,2022-10-18T17:31:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -a9222e3f-8219-4114-b8db-c12469620b73,156979898,League,Senior Data Scientist,on_site,"Toronto, ON",2022-10-15T17:26:07.414Z,"
                                                          -
                                                          Help Us Shape the Future of Healthcare
                                                          -
                                                          -
                                                          At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                          -

                                                          As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.

                                                          -

                                                          To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.

                                                          -

                                                          Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR).


                                                          In this role, you will:

                                                          +

                                                          Product Planning

                                                            -
                                                          • Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
                                                          • -
                                                          • Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
                                                          • -
                                                          • Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
                                                          • -
                                                          • Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
                                                          • -
                                                          • Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health
                                                          • +
                                                          • Prioritization that effectively balances short and long term product goals
                                                          • +
                                                          • Work in close partnership with the Product and Science teams to ensure that Engineering delivers against the product roadmap
                                                          -


                                                          About you:

                                                          +

                                                          Other

                                                            -
                                                          • MSc or PhD focused on data science/machine learning research or applications
                                                          • -
                                                          • 2+ years of experience in data science or machine learning engineering
                                                          • -
                                                          • 2+ years building and shipping data science based personalization services and recommendation systems
                                                          • -
                                                          • OR BSc focused on data science/computer science/engineering and 4+ years experience developing and shipping production grade machine learning systems
                                                          • -
                                                          • You have strong analytical and data science skills and are excited to apply it in non-traditional domains
                                                          • -
                                                          • You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
                                                          • -
                                                          • You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you
                                                          • +
                                                          • As a member of the leadership team, active participant in developing company strategy and goal setting
                                                          • +
                                                          • Drive meaningful action with effective and fast decision making that takes into account the interests of all stakeholders – employees, customers, shareholders, and partners
                                                          • +
                                                          • Ability to work well through ambiguity, confidence in making tough calls and leading through adversity
                                                          • +
                                                          • Solution-building skills; proven ability to understand business challenges, structure sophisticated problems, and develop solutions
                                                          -
                                                          +

                                                          +

                                                          The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                          +

                                                          We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                          ",,https://boards.greenhouse.io/integrateai/jobs/5832659002,feed-importer@jobboard.io,,,,2022-03-11T05:11:14.607Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/109876468-vice-president-engineering-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5832659002,expired,2022-02-20T05:05:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Executive,Bachelors Degree,New Posting, +7a6219ef-75f3-4b5a-9e5d-81cce1e9c26f,114794889,Thomson Reuters,"Sr Applied Research Scientist, Natural Language Processing",on_site,"Ontario, Canada",2022-03-14T13:31:01.803Z,"
                                                          +

                                                          Senior Applied Research Scientist, NLP

                                                          +

                                                          +

                                                          Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking experienced scientists with a passion for solving problems using state-of-the-art Information Retrieval and Natural Language Processing.

                                                          +

                                                          +

                                                          What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government Services, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

                                                          +

                                                          +

                                                          As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for delivering advanced solutions that support Thomson Reuters customers solving the most challenging problems.

                                                          +

                                                          +

                                                          About the role

                                                          +

                                                          -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                          +

                                                          In this opportunity as a Senior Applied Research Scientist, you will:

                                                          +

                                                          +
                                                            +
                                                          • Experiment and Develop: You will drive the entire model development lifecycle, building, testing and delivering high quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

                                                          • +
                                                          • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates.

                                                          • +
                                                          • Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.

                                                          • +
                                                          -
                                                          Our Application Process:
                                                          -
                                                          -
                                                          Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                          -
                                                            -
                                                          • You should receive a confirmation email after submitting your application.
                                                          • -
                                                          • A recruiter (not a computer) reviews all applications at League.
                                                          • -
                                                          • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                          • -
                                                          • The final step is an offer, which we hope you will accept!
                                                          • -
                                                          • -Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring. -
                                                          • -
                                                          -
                                                          -
                                                          Here are some additional resources to learn more about League:
                                                          - - - -
                                                          -

                                                          Recognize and Avoid Employment scams. Practice safe job searching.

                                                          -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +
                                                            +
                                                          • Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

                                                          • +
                                                          • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

                                                          • +
                                                          +

                                                          +

                                                          About you

                                                          +

                                                          -
                                                          -
                                                          Privacy Policy
                                                          -
                                                          Review our Privacy Policy for information on how League is protecting personal data.
                                                          +
                                                          +

                                                          Basic qualifications

                                                          +

                                                          +
                                                            +
                                                          • PhD in a relevant discipline or Master’s plus a comparable level of experience

                                                          • +
                                                          • At least five years experience building IR/NLP/ML systems

                                                          • +
                                                          • Solid software engineering skills for prototyping

                                                          • +
                                                          -
                                                          ",,https://boards.greenhouse.io/leagueinc/jobs/4459649004,feed-importer@jobboard.io,,,,2022-11-03T14:23:00.000Z,False,0,5,22,https://talenthub.vectorinstitute.ai/jobs/156979898-senior-data-scientist-at-league,https://boards.greenhouse.io/leagueinc/jobs/4459649004,expired,2022-10-15T17:26:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,PhD,New Posting, -4da08b28-ced1-470c-b939-831d7df3ef76,154998427,OMERS,"Student, Data & Analytics (Winter 2023, 4 Months)",on_site,"Ontario, Canada",2022-10-04T21:00:50.169Z,"

                                                          Why join us?

                                                          -

                                                          Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                          -

                                                          At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                          -

                                                          We are looking for a highly motivated, detail-oriented Data & Analytics Co-op to join our Data Science & Advanced Analytics team. Our primary focus is to democratize data & insights throughout the organization and deliver analytic solutions that enable analysis and generation of insights that were not previously possible. The position is an essential part of Oxford as you will have opportunity to develop world class data solutions and products. The Co-op will be an integral member of Data Science & Analytics team and be responsible for a wide range of activities across the data and analytics lifecycle, including areas such as discovery, profiling, modeling, and testing. You will have an opportunity to gain exposure to different facets of the business such as technology, leasing, operations, research, marketing and development.

                                                          -


                                                          As a member of this team, you will be responsible for:

                                                          -
                                                            -
                                                          • Leverage analytics and research to support the development of strategies and objectives by channel, business unit, and brands
                                                          • -
                                                          • Collect data on consumers, competitors, and marketplace; consolidate data into actionable insights
                                                          • -
                                                          • Responsible for extracting data from different sources, storing them and helping team to use it in most meaningful way
                                                          • -
                                                          • Work with different retail stakeholders to understand their needs and build dashboards, reports to help them achieve their goals
                                                          • -
                                                          • Explore, analyze, and derive insights from the data and build smart data products
                                                          • -
                                                          • Research on upcoming retail trends to help our shopping malls get ahead of the curve
                                                          • -
                                                          • Work with team to innovate and build reports, dashboards, and other data product to enhance decision making and daily operations across different retail assets
                                                          • -
                                                          • Conduct customer surveys to build customer profile, understand customer needs and sentiments
                                                          • -
                                                          • Build customer segments using machine learning techniques and identify the target customer segments for engagements
                                                          • -
                                                          • Build predictive models (Regression, Random Forest) to understand the financial health of the retailers
                                                          • -
                                                          • Build forecasting (ARIMA, Prophet) models to help optimize operations in the shopping malls
                                                          • -
                                                          -

                                                          To succeed in this role, you:

                                                          +
                                                          +
                                                          • Experience as a technical leader, coordinating and guiding the work of others

                                                          +

                                                          +

                                                          Preferred qualifications

                                                          +

                                                          +
                                                          • 8+ years academic or industry experience building IR or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                          +
                                                          +
                                                          +
                                                            +
                                                          • Demonstrated ability to translate customer needs into well-structured research/project plans

                                                          • +
                                                          • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                          • +
                                                          • Outstanding communication, organization, and data-driven decision making

                                                          • +
                                                          • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                          • +
                                                          +

                                                          +
                                                          +
                                                          +

                                                          What\'s in it for you

                                                          +

                                                          +

                                                          At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                          +

                                                          +
                                                          • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                          +
                                                          +
                                                          +
                                                          • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. 

                                                          +
                                                            -
                                                          • Working towards completion of an undergraduate or post-graduate degree with a concentration in Business, Analytics, Computer Science, Mathematics, or other quantitative disciplines
                                                          • -
                                                          • Strong knowledge of Power BI and Tableau
                                                          • -
                                                          • Working knowledge of GIS software like Arc GIS or open GIS packages like Kepler
                                                          • -
                                                          • Ability to querying databases, and basic knowledge of Python/R
                                                          • -
                                                          • Solid analytical skills and good understanding of underlying statistical concepts (distribution, sampling, hypothesis testing, confidence intervals, correlation, regression, probabilities)
                                                          • -
                                                          • Self-motivated individual with a strong work ethic and a high level of attention to detail
                                                          • -
                                                          • Ability to communicate clearly, concisely and accurately (both verbal and written)
                                                          • -
                                                          • Ability to meet tight deadlines and to manage conflicting priorities
                                                          • -
                                                          • Excellent interpersonal skills
                                                          • +
                                                          • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                          • +
                                                          • Perks: Social events & activities, employee discount programs

                                                          • +
                                                          • Social Impact: Paid time off for volunteering virtually or in your community

                                                          -

                                                          Our story:

                                                          -

                                                          Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario's municipal employees.

                                                          -

                                                          For more information on Oxford, visit www.oxfordproperties.com

                                                          -

                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                          -


                                                          Vaccination Policy

                                                          -

                                                          At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                          ",,https://omers.wd3.myworkdayjobs.com/OMERS_External/job/Head-Office-Toronto/Student--Business-Data-Scientist--Winter-2023--4-Months-_JR-3786,aitalent@vectorinsitute.ai,https://www.omers.com/careers,,,2022-11-03T21:00:00.000Z,False,0,23,113,https://talenthub.vectorinstitute.ai/jobs/154998427-student-data-analytics-winter-2023-4-months-at-omers,,expired,2022-10-04T21:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, -f54fdeb5-5c0c-4965-b93f-325760d1a8e6,164063862,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-11-07T17:24:01.807Z,"
                                                          -

                                                          Company Overview

                                                          -
                                                          -

                                                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                          -

                                                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                          +

                                                          ​#LI-JS3

                                                          +

                                                          -

                                                          Department Overview

                                                          -

                                                          Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                          +

                                                          Canada COVID-19 Vaccination Requirement

                                                          -

                                                          Job Description

                                                          -
                                                          -

                                                          About this Role

                                                          -

                                                          Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                          -

                                                          As a Data Steward II, you will:

                                                          -
                                                            -
                                                          • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                          • -
                                                          • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                          • -
                                                          • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                          • -
                                                          • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                          • -
                                                          • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                          • -
                                                          • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                          • -
                                                          • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                          • -
                                                          • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                          • -
                                                          • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                          • -
                                                          • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                          • -
                                                          -
                                                          +

                                                          Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                          -

                                                          Requirements

                                                          -
                                                          -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                          -
                                                            -
                                                          • Undergraduate degree or technical certificate
                                                          • -
                                                          • Seven (7) or more years relevant experience
                                                          • -
                                                          • Skill in using software tools, applications, data analysis methods
                                                          • -
                                                          • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                          • -
                                                          -
                                                          +

                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                          +

                                                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                          -

                                                          Additional Information

                                                          -
                                                          #tdcybersecurity
                                                          #LI-Post -
                                                          +

                                                          Accessibility

                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          +

                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                          -

                                                          Inclusiveness

                                                          -

                                                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                          +

                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/16965873/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-10T17:29:05.463Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/164063862-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16965873/data-steward-ii-toronto-ca/,expired,2022-11-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -ee1c00f1-cf9e-41c7-a85f-a2e62424acc9,292866554,Scotiabank,"Senior Manager, Data Analytics- Hybrid",on_site,Canada : Ontario : Toronto,2023-12-04T16:25:02.142Z,"

                                                          +

                                                          Protect yourself from fraudulent job postings click here to know more.

                                                          +

                                                          +

                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                          +
                                                          ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Sr-Applied-Research-Scientist--Natural-Language-Processing_JREQ144843?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-03-17T13:36:02.504Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/114794889-sr-applied-research-scientist-natural-language-processing-at-thomson-reuters,,expired,2022-03-14T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, +246fc054-48e9-4173-abae-5f69875c22f6,112056154,Scotiabank,VELOCITY - Innovation Engineer - Summer 2022,on_site,Canada : Ontario : Toronto,2022-03-04T05:06:18.963Z,"

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Requisition ID: 144165

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          +

                                                          Velocity - Innovation Engineer - Summer 2022

                                                          +

                                                          WORK TERM: 4 Months - Summer 2022 (May-August)

                                                          +

                                                          +

                                                          +

                                                          What Can I Expect from the Velocity Program?

                                                          +

                                                          This is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. In Velocity you will gain exposure to both business and technology by having a customized plan for your next internship or co-op. Yes, you read that correctly. After successfully completing your first co-op or internship, we will work with you to establish a learning and mentorship plan which also outlines your future placements. As a result, you will get to learn, grow and experiment within different areas of both Scotiabank and Tangerine.

                                                          -

                                                          Requisition ID: 187900

                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                          +

                                                          You Will…

                                                          +
                                                          • Work with Digital Currencies and Blockchain technologies
                                                          • Investigate problem spaces and ideate on new and innovative solutions
                                                          • Work closely with a team of designers, researchers and developers to ideate and rapidly build prototype proof of concepts (PoCs) and refactor PoCs for production
                                                          • Investigate new and emerging technologies (Big Data, Machine Learning, etc.)
                                                          • Utilize Agile processes to validate and iterate on PoCs to build the right thing the right way
                                                          • Present prototypes and ideas to all levels of stakeholders
                                                          • +

                                                          -

                                                          The Team
                                                          Leads and oversees Finance Data Management Data Services team within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada

                                                          +

                                                          You Are...

                                                          +

                                                          You are an undergraduate student that gets excited by continuous integration and deployment. You have a passion for innovation and spend your free time problem solving and tinkering with new technologies. You thrive in a fast paced ever changing environment and need to be a part of something BIG. You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                          +

                                                          Throughout your undergrad, you have acquired basic knowledge in the software development life cycle, object-oriented programming, and database programming. You consider yourself an influencer that can translate business objectives into technical priorities. You are logical, and familiar with various development tools. You love being involved in extracurricular activities such as hackathons or tech conferences. You are not afraid to roll up your sleeves and get things done!

                                                          -

                                                          The Role
                                                          As a Senior Manager (Data Analytics Functional Lead) you are required to participate in multiple finance transformation projects, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with internal development teams, as well as 3rd party vendors, and business clients. The incumbent will have a minimum of 3 years of strong expertise querying data, data models, and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive and dynamic, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                          +

                                                          You have Work Experience in any of the Following...

                                                          +
                                                          • Blockchain / Distributed Ledger Technologies (Corda, Hyperledger, Ethereum, Bitcoin)
                                                          • Backend Web Services (Node.js, Java, Python)
                                                          • Modern Front End Frameworks (React, Angular)
                                                          • Project documentation and presentations for stakeholders
                                                          • +

                                                          -

                                                          Some of the key accountabilities include:
                                                          • Analytical and detail oriented
                                                          • Opine on the accounting rules, accounting policy and manage requests from stakeholders
                                                          • Retail, Capital markets, Banking and Markets product specialist
                                                          • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                          • Manage communications with Senior Management on monthly/quarterly/annual operational requirements
                                                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                          • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                          • Champions a high performance environment and contributes to an inclusive work environment.

                                                          -

                                                          What You Will Bring to Succeed

                                                          -

                                                          • 3+ years of experience with Financial Statements/Accounting/Chart of Accounts
                                                          • SQL/ACL/Python experience will help with the data models and analysis
                                                          • University College degree: Accounting/Finance +Mathematic/Statistics degree will be a good to have

                                                          +

                                                          How to apply?

                                                          +

                                                          For students, we believe evaluating you through relationships over resumes, and we are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about in order to properly assess your potential. Instead, we want to get to know YOU and hear about your experiences that have shaped you. We know… this might sound crazy but we do not want you to submit your resume. Instead, we ask that as part of your application, you complete the steps below:

                                                          -

                                                          The Workplace
                                                          • We are technology partners who help the business transform how our employees around the world work
                                                          • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                          • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                          • We foster an environment of innovation and continuous learning
                                                          • We care about our people, allowing them to design how they work to deliver amazing results
                                                          • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                          +

                                                          1) Complete your PLUM Profile here

                                                          +

                                                          2) Take a screenshot of your completed PLUM profile.

                                                          +

                                                          3) Complete a very short one-way video interview by clicking here

                                                          +

                                                          4) When it prompts you to submit your resume, do not attach your resume! Instead, attach the screenshot of your PLUM profile under the ""resume"" section (step #2 above). Cover letters are optional – not required.

                                                          -

                                                          Scotiabank
                                                          As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          -

                                                          Is this Role not the Exact fit?
                                                          Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                          -

                                                          #scotiatechnology #LI- Hybrid

                                                          +

                                                          We welcome all applications, but can only respond to candidates selected for an interview. Scotiabank and Tangerine are committed to providing an inclusive and accessible candidate experience. Only those candidates selected for an interview will be contacted. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to meet your needs.

                                                          -

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-Hybrid-ON-M5H1H1/575423517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-02T20:13:00.000Z,False,0,1,293,https://talenthub.vectorinstitute.ai/jobs/292866554-senior-manager-data-analytics-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-Hybrid-ON-M5H1H1/575423517/,expired,2023-12-04T16:25:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -48e31144-4321-455c-b6ae-e8a954e6ddbf,311507108,BMO Financial Group,"Manager, Risk Management",on_site,"Ontario, Canada",2024-03-11T06:25:02.445Z,"
                                                          -

                                                          Application Deadline:

                                                          03/25/2024

                                                          -

                                                          -

                                                          Address:

                                                          100 King Street West

                                                          -

                                                          -

                                                          Job Family Group:

                                                          Data Analytics & Reporting

                                                          -

                                                          -

                                                          -

                                                          -

                                                          Supports the Bank’s Credit Risk Analytics, Risk Reporting, and Loan Loss Provisioning by supporting thoughtful analysis of large datasets and information, utilizing tools such as SQL, SAS, Microsoft SSRS, and Microsoft PowerBI, to provide Senior Management with essential insights to make actionable decisions. Execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                          +

                                                          Location(s): Canada : Ontario : Toronto

                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Innovation-Engineer-Summer-2022-ON/557106117/,feed-importer@jobboard.io,,,,2022-03-17T21:15:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/112056154-velocity-innovation-engineer-summer-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-VELOCITY-Innovation-Engineer-Summer-2022-ON/557106117/,expired,2022-03-04T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +f4317b37-46ba-4fc1-9406-ce80ae6ae8ef,110806942,BMO Financial Group,"Senior Data Analyst, Robotics, Reporting and Automation Solutions",on_site,"Toronto, ON, Canada",2022-02-25T19:03:23.649Z,"

                                                          Address:

                                                          +

                                                          100 King Street West

                                                          +

                                                          +

                                                          +

                                                          Job Family Group:

                                                          +

                                                          Data Analytics & Reporting

                                                          +

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                            -
                                                          • Acts as a trusted advisor to assigned business/group.
                                                          • -
                                                          • Influences and negotiates to achieve business objectives.
                                                          • -
                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                          • -
                                                          • Assists in the development of strategic plans.
                                                          • -
                                                          • Identifies emerging issues and trends to inform decision-making.
                                                          • -
                                                          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. -
                                                          • -
                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                          • -
                                                          • Leads the development and maintenance of the risk reporting framework.
                                                          • -
                                                          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                                          • -
                                                          • Ensures alignment between stakeholders.
                                                          • -
                                                          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                                                          • -
                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                          • -
                                                          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                          • -
                                                          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                          • -
                                                          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                          • -
                                                          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                          • -
                                                          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                          • -
                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                          • -
                                                          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                          • -
                                                          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                          • -
                                                          • Provides information and supports the process for internal and external audits.
                                                          • -
                                                          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                          • -
                                                          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                          • -
                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                          • +
                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                          • +
                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                          • +
                                                          • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                          • +
                                                          • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                          • +
                                                          • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                          • +
                                                          • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                          • +
                                                          • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                          • +
                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                          • +
                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                          • +
                                                          • Uses the appropriate algorithms to discover patterns.
                                                          • +
                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                          • +
                                                          • Supports development of tools and delivers training for data analytics and AI.
                                                          • +
                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                          • +
                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                          • -
                                                          • Works independently and regularly handles non-routine situations.
                                                          • -
                                                          • Broader work or accountabilities may be assigned as needed.
                                                          • -
                                                          -

                                                          +
                                                        • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                        • +
                                                        • Works independently on a range of complex tasks, which may include unique situations.
                                                        • +
                                                        • Broader work or accountabilities may be assigned as needed.

                                                          Qualifications:

                                                          -
                                                            -
                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                          • -
                                                          • In-depth knowledge of reporting & analytics concepts and applications such as SQL, SAS, Microsoft SSRS, and PowerBI

                                                          • -
                                                          • In-depth knowledge of risk management metrics, KPIs and KRIs.

                                                          • -
                                                          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.

                                                          • -
                                                          • In-depth product knowledge for the designated business/portfolio.

                                                          • -
                                                          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.

                                                          • -
                                                          • In-depth knowledge of risk systems technology.

                                                          • -
                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.

                                                          • -
                                                          • Verbal & written communication skills - In-depth.

                                                          • -
                                                          • Collaboration & team skills - In-depth.

                                                          • -
                                                          • Analytical and problem-solving skills - In-depth.

                                                          • -
                                                          • Influence skills - In-depth.

                                                          • -
                                                          • Data driven decision making - In-depth.

                                                          • + +
                                                          • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                          • +
                                                          • Knowledge of visualization techniques and concepts.
                                                          • +
                                                          • Knowledge of distributed computing and/or distributed databases.
                                                          • +
                                                          • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                          • +
                                                          • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl)
                                                          • +
                                                          • Experience in automation/roboti technologies (WorkFusion, UiPath).
                                                          • +
                                                          • Technical proficiency gained through education and/or business experience.
                                                          • +
                                                          • Verbal & written communication skills - In-depth.
                                                          • +
                                                          • Collaboration & team skills - In-depth.
                                                          • +
                                                          • Analytical and problem solving skills - In-depth.
                                                          • +
                                                          • Influence skills - In-depth.
                                                          • +
                                                          • Data driven decision making - In-depth.
                                                          -

                                                          -

                                                          Compensation and Benefits:

                                                          -
                                                          $68,000.00 - $126,000.00

                                                          -

                                                          Pay Type:

                                                          Salaried

                                                          -

                                                          The above represents BMO Financial Group’s pay range and type.

                                                          -

                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                          +

                                                          We’re here to help

                                                          -

                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                          -

                                                          -

                                                          -

                                                          We’re here to help

                                                          -

                                                          -

                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                          -

                                                          -

                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                          -

                                                          -

                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                          -

                                                          -

                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                          -

                                                          -

                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                          -
                                                        • ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Management_R240006483?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-03-28T06:30:02.722Z,False,0,2,83,https://talenthub.vectorinstitute.ai/jobs/311507108-manager-risk-management-at-bmo-financial-group,,expired,2024-03-11T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -930c2e92-b30b-4ff2-8210-c9fe2364d705,312906874,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2024-03-18T16:28:02.953Z,"
                                                          -

                                                          Hours

                                                          -
                                                          37.5
                                                          +

                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                          -

                                                          Workplace Model

                                                          -
                                                          Hybrid
                                                          +

                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                          -

                                                          Pay Details

                                                          -

                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                          +

                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                          -

                                                          Department Overview

                                                          -
                                                          -

                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                          -

                                                          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                          -
                                                          +

                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                          ",,https://jobs.bmo.com/ca/en/job/R210026425/Senior-Data-Analyst-Robotics-Reporting-and-Automation-Solutions,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2022-03-17T21:15:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/110806942-senior-data-analyst-robotics-reporting-and-automation-solutions-at-bmo-financial-group,,expired,2022-02-25T19:03:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +9f439676-cfbb-4508-83f2-460c027fbe19,109056727,Vector Institute (Internal Opportunities Only),Instructor - Bias in AI - Small and Medium-Sized Enterprises (SME) Workshop Series ,full,Anywhere,2022-02-15T21:42:52.861Z,"

                                                          Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before February 21, 2022. The course will run dependent on the number of participant registrations.

                                                          +

                                                          We are advertising for this role in advance of February 21, 2022 so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                          +

                                                          This posting is to recruit one (1) Instructor candidate.

                                                          +


                                                          +

                                                          STATEMENT OF WORK: Small and Medium-Sized Enterprises (SME) Workshop Series - Instructor

                                                          +

                                                          SME Workshop Series Dates: February 28, 2022 - March 31, 2022 + capstone - Tuesday, March 12, 2022

                                                          +

                                                          Location: This course will be delivered online via D2L Brightspace

                                                          +

                                                          Classes and Tutorials: Deliver four 2h Lectures developed in collaboration with TAs

                                                          +

                                                          TAs: TBD

                                                          +

                                                          Overview

                                                          +

                                                          Bias in AI: ‘Practical examples in NLP & Computer Vision’ is an online program. This immersive and interactive program is designed to build AI capacity among SMEs both in technical skills and in responsible applications of AI. Bias in AI may exclude or disadvantage sections of the Canadian population, an unacceptable outcome in a country as diverse as Canada. Providing education on how bias in AI can be identified and potentially reduced will empower practitioners in participating SMEs and strengthen their leadership in responsible AI within the AI ecosystem and beyond. During this course, SMEs will apply the program learnings to their organizations and present these to instructors and stakeholders from Vector Institute and SME Workshop Series representatives in the final week. For this presentation, SMEs will work on a capstone project of their choosing based on their own business context to maximize value.

                                                          +

                                                          The target audience is SMEs that are looking to or have adopted AI technologies and have employees with experience building and managing AI models. The program will have between 20 – 30 participants from different SMEs and will cover bias in Natural Language Processing and Computer Vision. Participants are expected to have some experience building neural network models.

                                                          +

                                                          Tasks and Responsibilities

                                                          +
                                                            +
                                                          • Prepare and deliver lectures according to the course schedule below
                                                          • +
                                                          • Drive course development meetings and engage with course development discussions on Slack
                                                          • +
                                                          • Curate recommended readings or supplementary materials to support the assignment
                                                          • +
                                                          • Provide assistant to course participants throughout the course
                                                          • +
                                                          +

                                                          Fees:

                                                          +
                                                            +
                                                          • $5,000
                                                          • +
                                                          • Instructor must submit invoice at the end of the course. All fees are payable at the end of the course ~12 March 2022, upon completion of all contractual responsibilities.
                                                          • +

                                                          -

                                                          Job Details

                                                          -
                                                          -

                                                          About this Role

                                                          -
                                                          -

                                                          This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                          +

                                                          Course Schedule

                                                          +

                                                          Prior to course commencement, typical touchpoints are:

                                                            -
                                                          • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                          • -
                                                          • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                          • -
                                                          • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                          • -
                                                          • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                          • -
                                                          • understand and actively managing the operational impacts of our fraud defense strategies
                                                          • +
                                                          • Team kick-off/ curriculum development meeting
                                                          • +
                                                          • Team progress meeting
                                                          • +
                                                          • Team LMS upload and testing meeting
                                                          • +
                                                          • Course launch meeting
                                                          -

                                                          The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                          -

                                                          Accountabilities:

                                                          -

                                                          Fraud Management

                                                          +

                                                          These meetings allow for the smooth running of a program and will accommodate schedules as much as possible.

                                                          +

                                                          Week 1: Monday February 28, 2022 3pm-5pm ET

                                                          +
                                                          • Tutorial (i): Admin & Registration Set-up, D2L Orientation
                                                          +

                                                          Workshop 1: Tuesday March 1, 2022 3pm-5pm ET

                                                          +

                                                          Topic: AI Overview, Tools & Best Practices

                                                            -
                                                          • Accountable for fraud loss targets and the customer experience
                                                          • -
                                                          • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                          • -
                                                          • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                          • -
                                                          • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                          • -
                                                          • Supports case valuation and prioritization to optimize fraud management
                                                          • -
                                                          • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                          • -
                                                          • Provide ad-hoc analysis to support decision-making at the executive level
                                                          • -
                                                          • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                          • -
                                                          • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                          • -
                                                          • Produce timely diagnostics to identify system, strategy and operational issues
                                                          • -
                                                          • Participates in defect analysis to identify and remediate coverage gaps
                                                          • -
                                                          • Identify, track, and provide solutions to ongoing fraud vectors and portfolio threats
                                                          • -
                                                          • Think forward and provide early gap mitigation to emerging threat vectors globally
                                                          • +
                                                          • Mathematical Foundations
                                                          • +
                                                          • Python Hygiene - packages, troubleshooting, and running efficient models
                                                          • +
                                                          • NLP Fundamentals
                                                          -

                                                          Partner Support

                                                          +

                                                          Assignment (1): Develop classic GPT2/Bert model - text generation/ prediction

                                                          +

                                                          Week 2: Monday, March 7, 2022 3pm-5pm ET

                                                          +
                                                          • Tutorial (ii): Go over Assignment (1) & Week 1 materials
                                                          +

                                                          Workshop 2: Tuesday March 8, 2022 3pm-5pm ET

                                                          +

                                                          Topic: Computer Vision Models

                                                          +
                                                          • Computer Vision Fundamentals
                                                          +

                                                          Assignment (2): Develop a classic Computer Vision classification model

                                                          +

                                                          Week 3: Monday, March 14, 2022 3pm-5pm ET

                                                          +
                                                          • Tutorial (iii): Go over Assignment (2) & Week 2 materials
                                                          +

                                                          *Workshop 3: Wednesday, March 15, 2022 3pm-5pm ET

                                                          +

                                                          Topic: Reducing bias in NLP & Computer Vision models

                                                            -
                                                          • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                          • -
                                                          • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                                          • -
                                                          • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                          • -
                                                          • Support the continuous improvement agenda for our operational partners
                                                          • -
                                                          • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                          • -
                                                          • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
                                                          • +
                                                          • Bias in AI (Introduction)
                                                          • +
                                                          • Governance, Privacy & Ethics
                                                          -
                                                          -
                                                          -

                                                          -

                                                          Job Requirements

                                                          -
                                                          -What can you bring to TD?

                                                          +

                                                          Assignment (3): Reducing bias in NLP & Computer Vision models (report)

                                                          +

                                                          Week 4: Monday, March 21, 2022 3pm-5pm ET

                                                          +
                                                          • Tutorial (iv): Go over Assignment (3) & Week 3 materials
                                                          +

                                                          Workshop 4: Tuesday, March 22, 2022 3pm-5pm ET

                                                          +

                                                          Topic: Reducing bias in NLP & Computer Vision models

                                                          +
                                                          • Methods for identifying and reducing bias
                                                          +

                                                          Assignment (4): Reducing bias in NLP & Computer Vision models (applied)

                                                          +

                                                          Week 5: Monday, March 28, 2022 3pm-5pm ET

                                                          +
                                                          • Tutorial (v): Go over Assignment (4) & Week 4 materials
                                                          +

                                                          *Workshop 5: Thursday, March 31, 2022 3pm-5pm ET *note change in day

                                                          +

                                                          Topic: Capstone Preparation

                                                            -
                                                          • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                                                          • -
                                                          • 2+ years’ experience in an analytical capacity Total number of experience required is 5+
                                                          • -
                                                          • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                                          • -
                                                          • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                                                          • -
                                                          • Understanding of machine learning methods with experience in deployment and implementation
                                                          • -
                                                          • Experience with automation tools and proven implementation record
                                                          • -
                                                          • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                          • -
                                                          • Demonstrated analytical, modeling and problem solving skills
                                                          • -
                                                          • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                          • -
                                                          • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                          • -
                                                          • Ability to take initiative and work independently under tight timelines
                                                          • -
                                                          • Ability to work collaboratively and build relationships
                                                          • -
                                                          • Ability to effectively manage multiple projects and priorities simultaneously
                                                          • -
                                                          • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                          • +
                                                          • Introduction to Capstone Project
                                                          • +
                                                          • Scientific writing & presentations
                                                          -

                                                          Preferable

                                                          +

                                                          Assignment (5): Capstone Project - identify and reduce bias in your AI models

                                                            -
                                                          • Experience in fraud management is an asset
                                                          • -
                                                          • Knowledge of machine learning is an asset
                                                          • -
                                                          • Automation experience is an asset
                                                          • -
                                                          • Knowledge of fraud detection platforms is an asset
                                                          • -
                                                          • Agile experience is an asset
                                                          • +
                                                          • Presentation reviewed by a panel including IRAP staff
                                                          • +
                                                          • Capstone review and feedback
                                                          -
                                                          -

                                                          -

                                                          Additional Information

                                                          -
                                                          #LI-Tech
                                                          -

                                                          -

                                                          Company Overview

                                                          -
                                                          -Our Values
                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                          -

                                                          Making Your Well-being a Priority
                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                          -

                                                          Our Total Rewards Package
                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                          -

                                                          How We Work
                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                          -

                                                          Who We Are
                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                          -
                                                          -

                                                          -

                                                          Inclusiveness

                                                          -
                                                          -Our Commitment to Diversity, Equity, and Inclusion
                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                          -

                                                          Accommodation
                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                          -

                                                          How We’re Helping Make an Impact in Communities
                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                          -

                                                          We look forward to hearing from you!

                                                          -

                                                          -
                                                          ",,https://jobs.td.com/en-CA/jobs/19753668/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-03-28T17:34:00.000Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/312906874-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19753668/sr-business-insights-analyst-toronto-ca/,expired,2024-03-18T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -838c588b-44d4-436e-8f2e-d40f9b8398b4,309234787,Scotiabank,"Manager, Business Intelligence - CID&A",on_site,Canada : Ontario : Toronto,2024-02-29T16:26:02.375Z,"

                                                          -

                                                          -

                                                          Requisition ID: 194099

                                                          -

                                                          Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                                                          -

                                                          -

                                                          The Manager, Business Intelligence will be accountable for delivery of business intelligence and data analytics at Tangerine. Using analytics tools such as GCP Big Query, SQL, VBA, SSRS, SAS, Python, Google Analytics 4 and Looker/Google Data Studio this role will access a wide range of sophisticated data sources to uncover insights and support various business initiatives. The incumbent will work collaboratively with various business partners to drive objectives including profitable portfolio growth, increase of primary customer base and other related bank strategies.

                                                          -


                                                          Is this role right for you? In this role, you will:

                                                          -


                                                          Accountability 1 – Data Analytics and Visualization

                                                          -

                                                          -
                                                          • Use a variety of Business Intelligence analytical and reporting tools (eg. GCP BQ, SQL, Python) to access Enterprise Data Warehouse (EDW) and other platforms
                                                          • Perform complex analysis and reporting, including interactive dashboards, regular reports and ad-hoc requests as required
                                                          • Lead the adoption of visualization tool such as Looker/Google Data Studio or SSRS as the primary delivery method to enable user interaction and data exploration
                                                          • Provide dynamic reporting on key performance metrics to various stakeholders in Marketing, Product, Channels, CX, and external stakeholders for compliance
                                                          • Provide strategic analysis that will assist the business to optimize existing accounts and product mix from various channels, grow primary customer
                                                          • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.
                                                          • -
                                                          -

                                                          -


                                                          Accountability 2 – Processes Improvement

                                                          +

                                                          CAPSTONE PROJECT FINAL: Tuesday, April 12, 2021

                                                          +

                                                          Capstone Presentations: “Identify and reduce bias in your AI models”

                                                          +

                                                          Capstone Panel: Vector Institute & IRAP Stakeholders

                                                          +

                                                          Marks submitted & data captured - end of course.

                                                          +

                                                          To apply, please submit your CV and a statement outlining your motivation and objectives to: learn@vectorinstitute.ai

                                                          +

                                                          ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-03-17T22:25:00.000Z,False,0,0,37,https://talenthub.vectorinstitute.ai/jobs/109056727-instructor-bias-in-ai-small-and-medium-sized-enterprises-sme-workshop-series-at-vector-institute-internal-opportunities-only,,expired,2022-02-15T21:42:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, +84dbbbe4-3801-4189-ae3f-6ffde362917f,111996673,Loblaw Companies Ltd.,"Senior Analyst, Data Quality, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-03T18:00:11.211Z,"
                                                          +
                                                          +
                                                          +

                                                          Referred applicants should not apply directly to this role.

                                                          +

                                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                          +

                                                          +

                                                          +

                                                          Location:

                                                          1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                          +

                                                          +

                                                          Inspired by food? Committed to excellent service? So are we.
                                                          At Loblaw, we are Food Lovers!
                                                          We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                          We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                          Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                          +

                                                          +

                                                          Why is this role important?

                                                          +

                                                          What You'll Do:

                                                          +
                                                            +
                                                          • Design and develop appropriate data quality solutions such as; data profiling discovery, data rules development, root cause analysis, proactive measures within a cloud or on-prem environment using world-class tools and technology
                                                          • +
                                                          • Drive Data Quality adoption & maturity through DQ capability improvements and change management activities
                                                          • +
                                                          • Elicit & translate business friendly rules to develop technical code within a data quality tool
                                                          • +
                                                          • Produce insights on current state data health to recommend data standards and rules required to monitor critical data
                                                          • +
                                                          • Provide proactive data quality recommendations to prevent issues from occurring
                                                          • +
                                                          • Collaborate with Data Stewards and Business & Technical stakeholders to assess, root cause and drive resolution of critical data quality issues as needed
                                                          • +
                                                          • Participate in auditing activities to provide root cause analysis and data issue remediation support as required
                                                          • +
                                                          • Consult with internal and external stakeholders to uphold data quality and data management best practices. Provide advisory and education to stakeholders as needed
                                                          • +
                                                          • Demonstrate CORE (Care, Ownership, Respect, Excellence) values
                                                          • +
                                                          • Other duties as required
                                                          • +
                                                          +

                                                          +

                                                          What You'll Bring:

                                                          +
                                                            +
                                                          • 4-6 years of data quality work experience required
                                                          • +
                                                          • Post-secondary education in Statistics, Engineering, Business, Computer Science or related field of study degree preferred
                                                          • +
                                                          • Experience with data quality tools (Informatica Data Quality) and visualization tools (PowerBI) required
                                                          • +
                                                          • Proficient at writing complex queries and validating results using SQL and Python
                                                          • +
                                                          • Experience in cloud-based platform such as Google Cloud, Azure, Amazon Web Services required
                                                          • +
                                                          • Experience with using natural language processing and anomaly detection techniques for data quality activities an asset
                                                          • +
                                                          • Experience assessing data quality within noSQL database structures such as mongoDB and neo4j an asset
                                                          • +
                                                          • Strong prioritization and organizational skills required
                                                          • +
                                                          • Tenacious approach to effectively drive discussions and influence successful outcomes with stakeholders required
                                                          • +
                                                          • Ability to multi-task with strong attention to detail and analytical skills required
                                                          • +
                                                          • Advanced Productivity Tool skills (Excel, Word, PowerPoint, Confluence, Jira, Slack, SharePoint) required
                                                          • +
                                                          +

                                                          +

                                                          What You Can Expect:

                                                          +

                                                          We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                          +

                                                          +

                                                          Other perks of joining Loblaw:

                                                          +
                                                            +
                                                          • Competitive compensation and benefits package
                                                          • +
                                                          • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                          • +
                                                          • A flexible work environment which values balance
                                                          • +
                                                          • Colleague Discount Program
                                                          • +
                                                          • Tuition reimbursement Program
                                                          • +
                                                          • Employee Share Ownership plan
                                                          • +
                                                          • Pension Plan
                                                          • +
                                                          +

                                                          +

                                                          If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                          +

                                                          +

                                                          We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                          +

                                                          +

                                                          +

                                                          At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                          +

                                                          +

                                                          +

                                                          +

                                                          Employment Type:

                                                          Full time

                                                          +

                                                          +

                                                          Type of Role:

                                                          Regular

                                                          Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                          +

                                                          +

                                                          Please Note:  
                                                          Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                          +
                                                          +
                                                          ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-03-14T18:05:03.822Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/111996673-senior-analyst-data-quality-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-03T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +e098428a-6ea7-4c8f-bc0a-27f628c53c88,113374170,RBC,"Senior Manager, Data Scientist",on_site,"Toronto, ON, Canada",2022-03-10T12:45:04.533Z,"
                                                          +

                                                          What is the opportunity?

                                                          +

                                                          The Senior Manager, Governance and Managment supports FDA and F&C leadership in assesing including providing Trending, Finance Analytics, Research, Executive/Operational Dashboards, and Expertise to senior management, enhancing their ability to cretae operational efficeincy across CFO. The role ensures a robust and authoritative fact base and analytic capabilities to support of the execute and develop advance analytics within CFO.

                                                          +

                                                          Additionally, the role provides ongoing feedback, advice, analysis and support, indepth data analysis, and higlight process gaps to executives and senior management, Functional Managers (FM) or Subject Matter Experts (SME) ensuring full benefit and clarity of Finance Analytics, the value proposition and overall positive impact on the RBC.

                                                          -
                                                          • Design and create new data cubes and interactive dashboards that support distributed analytics model
                                                          • Manage, update and maintain of internal data cubes for consumption of internal analytics peers
                                                          • Document existing processes and work flows, and look for opportunities to optimize and automate work stream
                                                          • Collaborate with partners and stakeholders to consolidate, streamline and improve existing reports to new standards, migrate reports and dashboards
                                                          • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion
                                                          • Coach and provide knowledge transfer to new team members
                                                          • Onboard to potential new data platforms and receptive to other analytics tools such as Python, Vertex AI, Google Analytics 4, etc.
                                                          • +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Extract, manipulate and analyze data from a variety of sources to formulate insightful conclusions, provide strategic recommendations, and inform management actions, both as part of routine people-level analytics and in support of new initiatives
                                                            • +
                                                            • Provide relevant, credible and actionable analytics to inform business diagnosis
                                                            • +
                                                            • Design complex and large-scale datasets to be used for statistical modeling and data mining
                                                            • +
                                                            • Conduct exploratory analysis and interpretation of new and different data sources to find solutions to business problems
                                                            • +
                                                            • Present and communicate data analysis in a clear and compelling way to business audiences, at all levels with the relevant insights
                                                            • +
                                                            • Design and implement scenario models relevant to Finance Domain
                                                            • +
                                                            • Perform tasks related to development of advanced data mining models which could include but not limited to clustering, segmentation, natural language processing, time-series analysis, sentiment analysis, linear programming, and Bayesian analysis.
                                                            • +
                                                            • Provide subject matter expertise in experimental design
                                                            • +
                                                            • Collaborate with internal stakeholders to develop tools and services such as modeling, dashboards, decision aids and business case analysis to drive innovation, strategic initiatives and recommend solutions
                                                            • +
                                                            • Work with internal technology groups to develop and enhance data support for model development and automation of the models
                                                            • +
                                                            • Support development of other team members immediate team and greater team by involving them in key projects or initiatives; offers peer coaching and training/learning
                                                            • +
                                                            • Coordination with various groups for key inputs into models; Prepare detailed documentation to outline models and algorithms
                                                            -


                                                            Accountability 3 – Business Impact

                                                            -
                                                            • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation
                                                            • Act as the advocate of Tangerine to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases
                                                            • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                                            • Act as a data stakeholder and participate in project requirements gathering and in data governance activities to ensure high data quality standards
                                                            • +

                                                              What do you need to succeed?

                                                              +

                                                              Must-have

                                                              +
                                                                +
                                                              • A degree in Machine Learning, Statistics, AI, Computer Science, Engineering, or Technology
                                                              • +
                                                              • Hadoop Developer or Data Scientist certification (Hortonworks preferred)
                                                              • +
                                                              • 3+ years of Applied Statistics, Data Mining, and Machine Learning experience
                                                              • +
                                                              • 5+ years of production experience with python, or equivalent statistical or ML framework
                                                              • +
                                                              • 3+ years of experience Unix/Linux shell scripting
                                                              • +
                                                              • Excellent understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle
                                                              • +
                                                              • Production experience implementing Lookalike, Clustering Decision Tree models
                                                              • +
                                                              • Production experience with Text Mining, Natural language processing and Recommender systems
                                                              • +
                                                              • Expert-level SQL querying skills
                                                              • +
                                                              • In-depth understanding and production experience with the core Hadoop components, including Hive, Spark, HDFS etc.
                                                              -


                                                              Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with some of all of the following:

                                                              -
                                                              • 5+ years of analytical / BI experience required
                                                              • 2+ years of experience in financial industry
                                                              • Demonstrated expertise in one or more of following GCP, Big Query, Looker, SQL, VBA, SAS, Python, GA4
                                                              • Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Marketing, Finance or Business
                                                              • Strong in prioritizing, planning, requirement gathering, data analyzing and presentation skill
                                                              • Strong communication skills and relationship building skills with internal partners
                                                              • Experienced with Excel pivot table and MS Office
                                                              • Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Marketing, Finance or Business
                                                              • Demonstrated ability to work within tight deadlines
                                                              • Ability to handle multiple projects simultaneously
                                                              • Proven ability to work independently and with other groups in a professional and productive manner
                                                              • Excellent analytical, logical, and organizational skills
                                                              • +

                                                                Nice-to-have

                                                                +
                                                                  +
                                                                • Working knowledge of financial statements, forecasting, budgeting and financial analysis
                                                                • +
                                                                • Strong knowledge and skills of RBC data, analytics methodology, practices and tools
                                                                -


                                                                What is in it for you?

                                                                -
                                                                • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                • A rewarding career path with diverse opportunities for professional development
                                                                • Internal training to support your growth and enhance your skills.
                                                                • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily
                                                                • Hybrid Work Environment
                                                                • -
                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                -

                                                                At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-CID&A-ON-M2H0A1/578684017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-30T18:27:44.703Z,False,0,5,94,https://talenthub.vectorinstitute.ai/jobs/309234787-manager-business-intelligence-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-CID&A-ON-M2H0A1/578684017/,expired,2024-02-29T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,College Diploma,New Posting, -83e15694-eb13-48a5-b1b5-4f184258115e,341330809,CIBC,"Senior Business Analyst, Treasury Data Management",on_site,"Ontario, Canada",2024-09-09T07:48:01.892Z,"
                                                          -

                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                          -

                                                          -

                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                          -

                                                          -

                                                          To learn more about CIBC, please visit CIBC.com

                                                          -

                                                          -

                                                          -

                                                          What You’ll be Doing

                                                          -

                                                          -

                                                          The Senior Business Analyst will support the Director of Treasury Data Management working on various ongoing regulatory projects, mainly initiatives related to Liquidity Risk and Asset & Liability Management, to ensure the integrity of captured data in Treasury owned applications.

                                                          -

                                                          The incumbent will ensure that systems will continue to be executed on a daily, weekly, monthly and quarterly basis after implementation. The role is responsible to elicit requirements from business teams, suggest changes/improvements, ensure seamless development and end-to-end testing through all cycles. Also will properly document all activities and in accordance with the enterprise change management guidelines.

                                                          -

                                                          -

                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                          -

                                                          -

                                                          How you\'ll succeed

                                                          +
                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                              -
                                                            • -Treasury Data Advisory, Solutions & Operations- Data & ETL enhancements/development: (i) Conduct user acceptance testing/quality assurance activities. & (ii) Recommend and assist in the development of new/enhanced reporting systems, policies, procedures and controls to meet user requirements, changing circumstances, and insufficiencies underlying the current processes. Modify established procedures and approaches to suit specific situations as per Treasury requirements. Provide value-added data analysis services to technology and business partners, specifically in Liquidity and Asset & Liability Management areas.
                                                            • -
                                                            • -Capital/Global Markets and Retail Distribution upstream systems data- Maintain an appropriate internal control environment including adequate documentation of changes in upstream systems affecting treasury data warehouse. Work with internal and/or external business partners when required. Identify and implement areas of improvement within the data warehouse, develop and implement sound business processes, practices and technical solutions to address business issues/challenges where applicable under the SOX404 guidelines, based on required changes.
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • +
                                                            • Ability to make a difference and lasting impact
                                                            • +
                                                            • Work in an agile, collaborative, progressive, and high-performing team
                                                            • +
                                                            • The opportunity to interface with senior level executives from many different parts of the organization
                                                            -

                                                            -

                                                            Who you are

                                                            -
                                                              -
                                                            • -You are a professional. Successful candidates must exhibit CIBC\'s values of trust, team work and accountability
                                                            • -
                                                            • -You have demonstrated experience. Industry-related experience in the areas of data warehousing, relational databases, end user (BI) reporting, ETL development and Capital Markets
                                                            • -
                                                            • -You have a degree. Equivalent to University degree in Business, Information Technology, Computer Science, Engineering or Mathematics
                                                            • -
                                                            • -Technical experience. Proficiency in SQL, MS Access, Microsoft Word, Excel and PowerPoint. Experience with Quantitative Risk Management (QRM) system is beneficial. Strong problem solving, analytical, judgment and reporting capabilities. Demonstrated strong attention to detail and accuracy
                                                            • -
                                                            • -Stakeholder Management. Ability to establish and build working relationships and partnerships with the business as well as peers and wide variety of stakeholders (Finance, Risk Management, Technology, etc.) Self-started, able to work independency and take ownership. Ability to manage deadlines while balancing multiple complex priorities
                                                            • -
                                                            • -You act like an owner. You thrive when you\'re empowered to take the lead, curiosity drives you to go above and beyond, and you take pride in building trust with your partners through your work. -
                                                            • -
                                                            • -You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
                                                            • -
                                                            • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                            • +

                                                              +

                                                              +

                                                              +

                                                              RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

                                                              +

                                                              +

                                                              RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                              +

                                                              +

                                                              Join our Talent Community
                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



                                                              JOB SUMMARY
                                                              City: Toronto
                                                              Address: 20 King Street W
                                                              Work Hours/Week: 37.5
                                                              Work Environment: Office
                                                              Employment Type: Permanent
                                                              Career Level: Experienced Hire/Professional
                                                              Pay Type: Salary + Variable Bonus
                                                              Required Travel (%): 0
                                                              Exempt/Non-Exempt: N/A
                                                              People Manager: No
                                                              Application Deadline: 03/11/2022
                                                              Platform: CFO Group

                                                              Req ID: 455057
                                                              Ad Code(s):

                                                              +
                                                            ",,https://jobs.rbc.com/ca/en/job/455057/Senior-Manager-Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-03-14T12:50:04.385Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/113374170-senior-manager-data-scientist-at-rbc,,expired,2022-03-10T12:45:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +19685f04-ba91-4752-9bdc-297de2ec9098,112319606,CIBC,"Analytics Consultant, Fraud Analytics, Risk Management",on_site,"Ontario, Canada",2022-03-05T10:03:02.414Z,"
                                                            +
                                                            +
                                                            +

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            +

                                                            +

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            +

                                                            +

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            +

                                                            What You’ll Be Doing

                                                            +

                                                            You will provide ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems, conduct data extraction and manipulation using SAS for fraud reporting, assist the team in the development and application of complex statistical concepts/theories and predictions including cost/benefits analysis, optimization, predictive models and sampling.

                                                            +
                                                            • You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                            +

                                                            +

                                                            How You’ll Succeed

                                                            +
                                                              +
                                                            • Analytical Thinking –Improve fraud monitoring by responding to fraud trends and mitigate risk surrounding operational processes. Conduct feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

                                                            • +
                                                            • Data Management – Creation and maintenance of SAS and SQL programs to access a decision support data repository. Database management/querying, and computer programming/software expertise.

                                                            • +
                                                            • Communication Skills– Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.

                                                            -

                                                            -

                                                            What CIBC Offers

                                                            +

                                                            Who You Are

                                                            +
                                                              +
                                                            • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                            • +
                                                            • You have a degree/diploma in preferably Mathematics, Statistics, Business or Computer Science Based discipline in addition to recent SAS Programming Certification

                                                            • +
                                                            • You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in analytical techniques and constantly seek to improve your knowledge in this field.

                                                            • +
                                                            • You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what\'s possible. You are curious and proactive, you constantly offer new solutions based on sound analysis.

                                                            • +
                                                            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                            • +

                                                            +

                                                            What CIBC offers

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                              -
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                            • +
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                            -

                                                            *Subject to plan and program terms and conditions

                                                            -

                                                            -

                                                            What you need to know

                                                            +

                                                            +

                                                            What you need to know

                                                              -
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • -
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            • -
                                                            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                            • +
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • +
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                            • +
                                                            • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Job Location

                                                            Toronto-81 Bay, 26th Floor

                                                            -

                                                            Employment Type

                                                            Regular

                                                            -

                                                            Weekly Hours

                                                            37.5

                                                            -

                                                            Skills

                                                            Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Business-Analyst--Treasury-Data-Management_2419339?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-09-19T14:04:02.540Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/341330809-senior-business-analyst-treasury-data-management-at-cibc,,expired,2024-09-09T07:48:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a8fb55b2-506c-4a81-a041-638dd6167003,338769999,Cohere AI,"Member of Technical Staff, RAG",on_site,"Toronto, ON, Canada",2024-08-19T16:41:02.231Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                            -

                                                            -
                                                            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                            -

                                                            -
                                                            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                            -

                                                            -
                                                            Join us on our mission and shape the future!
                                                            -

                                                            -
                                                            Why this role?
                                                            -

                                                            +

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Job Location

                                                            Toronto-750 Law Ave. W., E4

                                                            Employment Type

                                                            Regular

                                                            +

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            +

                                                            Data Analytics (Inactive), Fraud Analysis, Fraud Investigation (Inactive), Risk Management, Software Programming (SQL) (Inactive), Tableau
                                                            +
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analytics-Consultant--Fraud-Analytics--Risk-Management_2207485,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-03-17T10:08:02.727Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/112319606-analytics-consultant-fraud-analytics-risk-management-at-cibc,,expired,2022-03-05T10:03:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +9b22a0af-e8a4-4a0a-adfe-ffd51c2cf272,113997999,Deloitte,"Data Visualization Consultant, Omnia AI",on_site,"Ontario, Canada",2022-03-11T02:43:02.976Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Toronto, Ontario, Canada
                                                            All Available Locations: Toronto

                                                            +

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            -Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. +
                                                            +

                                                            +
                                                            +

                                                            +

                                                            You love to solve complex business problems, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data and design to make impact that matters – if that is you, then Omnia AI is where you want to be.

                                                            -

                                                            -
                                                            Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                                                            -
                                                            -

                                                            As a Member of Technical Staff, you will:

                                                            -
                                                                -
                                                              • Design, build and scale AI systems for serving our users.
                                                              • -
                                                              • Research, implement, and experiment with ideas on our supercomputer and data infrastructure.
                                                              • -
                                                              • Learn from and work with the best researchers, engineers and annotators in the field.
                                                              • -
                                                              • Drive agent development in RAG, tool use, and language agents.
                                                              • -
                                                              • Work with internal annotators in creating and evaluating data for post-training LLMs, ensuring quality and performance.
                                                              • -
                                                            -
                                                            -
                                                            -

                                                            You may be a good fit if you have:

                                                            -
                                                                -
                                                              • Extremely strong software engineering skills.
                                                              • -
                                                              • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                              • -
                                                              • Deep experience in AI data evaluation and managementStrong track record of creating and curating large-scale datasets
                                                              • -
                                                              • Experience using large-scale distributed training strategies.
                                                              • -
                                                              • Familiarity with autoregressive sequence models, such as Transformers.
                                                              • -
                                                              • Ability to collaborate effectively with human annotators and cross-functional teams.
                                                              • -
                                                              • Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                              • -
                                                            -
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +

                                                            +

                                                            You will be responsible for conducting detailed requirements gathering sessions and articulating client needs within briefing documentation. Responsible for designing and developing interactive data visualizations that adhere to Information Design best practices and communicate business insights back to clients. Collaborating extensively with clients and other Deloitte teams. Liaising with data science and data architecture team members to optimize client data for visualization purposes. Managing project timelines and client deliverables. Candidates with experience creating visualizations for Financial Services, Public Sector, Healthcare, Consumer or Energy & Resource sectors are preferred.

                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends
                                                            -
                                                            ✈️ Paid vacation
                                                            -
                                                            ",,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,feed-importer@jobboard.io,,,,2024-09-20T16:01:35.569Z,False,0,12,55,https://talenthub.vectorinstitute.ai/jobs/338769999-member-of-technical-staff-rag-at-cohere-ai,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,expired,2024-08-19T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, -8d997cd9-cf99-4d3b-985e-761a0a336201,341358448,Scotiabank,Data Analyst (12-Month Contract),on_site,Canada : Ontario : Mississauga,2024-09-09T16:30:08.202Z,"

                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            +

                                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +

                                                            Our Data & Analytics Modernization team helps clients design, architect, and implement the data platforms – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            +

                                                            You are someone with:

                                                            +

                                                            +
                                                            • University or college degree, preferably within the disciplines of statistics, mathematics, computer science, geospatial analysis or graphic/communication design
                                                            • Strong working knowledge of Tableau, MS Power BI, and/or other data visualization software
                                                            • Minimum of 2+ years applying Information Design best practices to create static or interactive visualizations for client deliverables
                                                            • Strong presentation and communication skills to facilitate workshops and convey ideas and concepts to various target groups in both functional and technical roles
                                                            • A passion for quality visual design and user experience
                                                            • Data visualization portfolio
                                                            • Good working knowledge of Adobe Creative Suite (InDesign, Illustrator) is a plus
                                                            • Knowledge of SQL, JS and D3 is a plus
                                                            • +
                                                            +


                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            +
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • +
                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            +

                                                            +

                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-18T02:48:11.082Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/113997999-data-visualization-consultant-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,expired,2022-03-11T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +36947c43-15a7-4dac-b185-a6753c239bc4,109306801,Deloitte,"Data Architect - Snowflake, Omnia AI",on_site,"Ontario, Canada",2022-02-17T02:42:07.158Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Canada
                                                            All Available Locations: 15993; 15952; 15975; 15978; 15997

                                                            +
                                                            +

                                                            +

                                                            Our Purpose

                                                            +

                                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                            +

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Uncover the possibilities of AI in your career and set the foundation for success tomorrow

                                                            +
                                                            +
                                                            +
                                                            +

                                                            +
                                                            +

                                                            +

                                                            Do you want to help our clients grow and adopt world-class, leading data & analytics platforms? Are you motivated by solving complex problems by leveraging best-in-class data platform architecture? We want to hear from you!

                                                            +
                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +
                                                            +

                                                            +

                                                            As a Data Architect - Snowflake within our Omnia AI practice, you will be a team player to a portfolio of Deloitte’s Omnia AI engagements (projects). You will have the opportunity to be involved in the full life-cycle of AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to leverage top data management applications.
                                                            You will be able to work on the largest and most advanced Analytics projects on the market: 2019, 2020, 2021 Gartner Data & Analytics Service Provider leader.

                                                            +

                                                            Specifically, you will:

                                                            +
                                                            • Help our clients resolve their most complicated data & analytics problems to build, maintain, improve or re-architect solutions on Snowflake.
                                                            • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                            • Help our clients understand advantages and disadvantages of specific Snowflake Data architecture choices and provide subject matter expertise and lessons learned for your previous projects.
                                                            • Develop highly efficient teams of internal resources and guide their development journey on Snowflake.
                                                            • +
                                                            +

                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            +

                                                            Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +


                                                            Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            +

                                                            You are someone with:
                                                            • Experience playing a key role where you were the lead (or one of) data or solution architect on at least 2 multi-million data projects (modernization, data lake build, migration, etc.)
                                                            • 3+ years of hands-on experience Snowflake (demonstrated via hands on, specific, project experience) with at least 1+ years using serverless architecture
                                                            • 5+ years of technology consulting or industry experience in data & analytics delivery
                                                            • 7+ years of progressive and diverse experience in data architecture (preferably on modern cloud data platforms) with unstructured data, Hadoop stack, data streaming, MPP architecture
                                                            • Effective communicator that can explain complex technical concepts to executives and business leaders

                                                            +

                                                            +

                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            +


                                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                            +
                                                            +
                                                            +
                                                            +

                                                            +

                                                            Our shared values

                                                            +

                                                            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                            +

                                                            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                            +

                                                            Every day, we live our Purpose through the following five shared values:

                                                            +
                                                            • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                            • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                            • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                            • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                            • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                            • +
                                                            +



                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You? Apply by [insert date].

                                                            +

                                                            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                            +

                                                            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-19T16:37:17.533Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/109306801-data-architect-snowflake-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Architect-Snowflake%2C-Omnia-AI-ON-M5C-3G7/788529500/,expired,2022-02-17T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +6f1f671d-2fc3-42d2-b1d6-b1e79251e009,108987693,Shopify Inc.,"Data Science Manager (Remote, Canada)",on_site,"Ontario, Canada",2022-02-15T07:20:16.603Z,"

                                                            About the role

                                                            +

                                                            Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                            +

                                                            We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.

                                                            +

                                                            What your role will look like:

                                                            +
                                                              +
                                                            • Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data

                                                            • +
                                                            • Proactively identify and champion projects that solve complex problems across multiple domains

                                                            • +
                                                            • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business

                                                            • +
                                                            • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes

                                                            • +
                                                            • Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

                                                            • +
                                                            +

                                                            +

                                                            +

                                                            Qualifications

                                                            You will need to have:

                                                            +
                                                              +
                                                            • 7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
                                                            • +
                                                            • Experience building and managing high performance data science teams
                                                            • +
                                                            • Experience delivering business impact through analysis and data products
                                                            • +
                                                            • Experience building data pipelines and driving ETL design decisions
                                                            • +
                                                            • Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
                                                            • +
                                                            • Experience creating data product strategies, shipping data products, iterating after launch, and trying again
                                                            • +
                                                            • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                            • +
                                                            • Strong ability to prioritize and communicate to technical and non-technical audiences alike
                                                            • +
                                                            +

                                                            It would be great if you have:

                                                            +
                                                              +
                                                            • Previous experience using Spark (either via Scala or Pyspark)
                                                            • +
                                                            • Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
                                                            • +
                                                            • Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
                                                            • +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            All your information will be kept confidential according to EEO guidelines.

                                                            +

                                                            If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                            +

                                                            #LI-REMOTE

                                                            +

                                                            Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                            +

                                                            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                            +

                                                            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                            How we hire

                                                            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                            Learn more about our hiring process +
                                                            +
                                                            +
                                                            +
                                                            ",,https://www.shopify.ca/careers/data-science-manager-remote-canada_60487190-f32f-4238-9ce6-927f91892e76,feed-importer@jobboard.io,,,,2022-03-19T16:34:08.942Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/108987693-data-science-manager-remote-canada-at-shopify-inc,,expired,2022-02-15T07:20:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, +76b6ccfa-9ce1-466a-904f-edbd5ec76c9f,112011717,KPMG,"Lighthouse - Data Scientist, Fall Co-op 2022",on_site,"Toronto, Canada",2022-03-03T20:34:21.444Z,"Overview

                                                            Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                            At KPMG in Canada, we believe our differences make us stronger. When you join the team, you'll be part of a diverse group of professionals with a common goal - making an impact and driving innovation.

                                                            In a culture that fosters inclusion and encourages flexibility, you’ll receive the tools and guidance to grow your skills and achieve success your way.

                                                            Come as you are. Lets do this.

                                                            Why KPMG Lighthouse Exponential?

                                                            KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                              +
                                                            • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                            • +
                                                            • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                            • +
                                                            • Our teams build and deliver solutions that transform the business of our clients
                                                            • +
                                                            • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                            • +

                                                            KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist, intern/co-op to join our team! This role will be a rewarding experience for you if you:

                                                              +
                                                            • Thrive on challenges and work best in a fast-paced environment where each day is different
                                                            • +
                                                            • Work well in a project team environment and have strong collaboration and interpersonal skills
                                                            • +
                                                            • Have a permanent “figure it out” mindset
                                                            • +

                                                            What you will do

                                                              +
                                                            • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                            • +
                                                            • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                            • +
                                                            • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                            • +
                                                            • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                            • +
                                                            • Architect the data platform for scalability, repeatability and performance.
                                                            • +
                                                            • Develop standards for data processes and automate routine tasks.
                                                            • +
                                                            • Run queries for descriptive analytics and provide formatted result sets.
                                                            • +
                                                            • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                            • +
                                                            • Support application testing and production implementation as required.
                                                            • +
                                                            • Bridge the gap between technical platform needs and business issues.
                                                            • +
                                                            • Enable overall solution and full-scope architecture design and build.
                                                            • +
                                                            • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                            • +

                                                            What you bring to the role

                                                              +
                                                            • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                            • +
                                                            • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                            • +
                                                            • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                            • +
                                                            • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                            • +
                                                            • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                            • +
                                                            • Basic understanding of Data Warehousing and Data Modeling.
                                                            • +
                                                            • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                            • +

                                                            Keys to your success:

                                                              +
                                                            • Ability to explain data and analytics concepts to non-technical team members.
                                                            • +
                                                            • Ability to apply data and analytics concepts to business problems.
                                                            • +
                                                            • Ability to understand and explain business value of data and analytics concepts.
                                                            • +
                                                            • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                            • +
                                                            • Experience in visual exploration to perform data discovery and highlight insights
                                                            • +
                                                            • Knowledge of how specific visual components drive usability and understanding
                                                            • +
                                                            • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                            • +

                                                            To apply:

                                                            Please apply directly to KPMG at kpmg.ca/careers

                                                            Applications close on April 3rd 2022 at 11:59 PM EST.

                                                            Please expect a response 4-6 weeks after the application deadline.

                                                            Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a resume and an electronic copy of your most recent transcript (cover letter optional but strongly encouraged). If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.


                                                            If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.


                                                            Our Values, The KPMG Way

                                                            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                            KPMG is committed to the health and safety of our people, clients and communities. With this commitment in mind, KPMG complies with all public health mandates (provincially and/or federally, as applicable) and has implemented various safety measures, including a COVID-19 Vaccination Policy. KPMG's COVID 19 Vaccination Policy requires all employees to be fully vaccinated if they wish to or are required to attend a KPMG office and/or other congregate settings in the course of their duties (such as client sites or third-party venues).

                                                            As this role requires occasional or consistent attendance at a KPMG office and/or congregate setting, the successful candidate must be fully vaccinated (i.e. have received all doses that are recommended by Health Canada, including any boosters) and must provide KPMG with proof of vaccination. KPMG will provide reasonable accommodation if the successful candidate cannot be vaccinated due to grounds protected by human rights legislation in their province of employment.

                                                            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

                                                            For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                            If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                            ",,https://careers.kpmg.ca/students/jobs/13903?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-03-28T20:58:59.914Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/112011717-lighthouse-data-scientist-fall-co-op-2022-at-kpmg,https://careers.kpmg.ca/students/jobs/13903?lang=en-us,expired,2022-03-03T20:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, +d28238cb-5af7-49d3-a4d6-ea48989d08b9,116590433,Deloitte,"Data Visualization Consultant, Omnia AI",on_site,"Ontario, Canada",2022-03-25T02:43:12.037Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Toronto, Ontario, Canada
                                                            All Available Locations: 15993; 15952; 15997

                                                            +

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            +
                                                            +
                                                            +

                                                            +
                                                            +

                                                            +

                                                            You love to solve complex business problems, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data and design to make impact that matters – if that is you, then Omnia AI is where you want to be.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +
                                                            +

                                                            +

                                                            You will be responsible for conducting detailed requirements gathering sessions and articulating client needs within briefing documentation. Responsible for designing and developing interactive data visualizations that adhere to Information Design best practices and communicate business insights back to clients. Collaborating extensively with clients and other Deloitte teams. Liaising with data science and data architecture team members to optimize client data for visualization purposes. Managing project timelines and client deliverables. Candidates with experience creating visualizations for Financial Services, Public Sector, Healthcare, Consumer or Energy & Resource sectors are preferred.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            +

                                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +

                                                            Our Data & Analytics Modernization team helps clients design, architect, and implement the data platforms – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

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                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            +

                                                            You are someone with:

                                                            +

                                                            +
                                                            • University or college degree, preferably within the disciplines of statistics, mathematics, computer science, geospatial analysis or graphic/communication design
                                                            • Strong working knowledge of Tableau, MS Power BI, and/or other data visualization software
                                                            • Minimum of 2+ years applying Information Design best practices to create static or interactive visualizations for client deliverables
                                                            • Strong presentation and communication skills to facilitate workshops and convey ideas and concepts to various target groups in both functional and technical roles
                                                            • A passion for quality visual design and user experience
                                                            • Data visualization portfolio
                                                            • Good working knowledge of Adobe Creative Suite (InDesign, Illustrator) is a plus
                                                            • Knowledge of SQL, JS and D3 is a plus
                                                            • +
                                                            +


                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            +
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • +
                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            +

                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-29T02:48:02.428Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/116590433-data-visualization-consultant-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Visualization-Consultant%2C-Omnia-AI-ON-M5C-3G7/818990000/,expired,2022-03-25T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +5b625096-be03-4d06-af03-dd4628f6aba5,116168390,Scotiabank,Senior Project Lead (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-03-22T05:06:10.898Z,"

                                                            -

                                                            Requisition ID: 205874

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            Purpose:

                                                            -


                                                            Contributes to the overall success of the Global Operations Analytics & Business Intelligence team in Canada, ensuring specific individual goals, plans, and initiatives are executed & delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                            +

                                                            Requisition ID: 144825

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            Reporting to the Senior Manager, Analytics & Business Intelligence, the Data Analyst assists with the design, development, deployment, and sustainment of data solutions and the technology roadmap – in support of the data strategy – to effectively monitor, assess, and deploy analytics & reporting solutions for internal partners across Global Operations and International Banking units.

                                                            +

                                                            The Team

                                                            +

                                                            Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                            +

                                                            Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements.

                                                            -

                                                            The Data Analyst is responsible for supporting the operational and strategic needs of the Analytics & Business intelligence program, and providing data analytics/reporting services to a variety of operating units across business functions and international geographies.

                                                            -


                                                            Is this role right for you? In this role, you will:

                                                            -


                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            -

                                                            • Develops, deploys, and sustains data analytics / reporting solutions and associated data flows, in alignment with strategic and tactical needs of the business

                                                            -

                                                            • Leads sessions with both technical and non-technical stakeholders to gather business requirements, identify root causes to problems, and recommend data solutions in support of business processes

                                                            -

                                                            • Develops and maintains strong knowledge of operational policies and procedures across Canadian Banking, International Banking, and other Global Operations units

                                                            -

                                                            • Actively contributes to ongoing projects and programs, ad-hoc initiatives, and partner workstreams across the GO Analytics & Business Intelligence service portfolio

                                                            -

                                                            • Documents, analyzes and recommends improvements to existing business processes with the aim of increasing process efficiency, improving productivity and/or reducing costs

                                                            -

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            -

                                                            • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                            -

                                                            • Contributes to a high performance and inclusive work environment.

                                                            -


                                                            Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

                                                            -


                                                            • Bachelor’s degree in engineering, business administration, finance, or another quantitative field (i.e. STEM)
                                                            • 3+ years of experience in data analytics, data engineering, and/or reporting in the financial services industry
                                                            • Advanced knowledge of Power BI (DAX), Microsoft Excel (Power Query, Data modelling/Power Pivot, advanced formulas), and SharePoint (Data flow set up and maintenance)
                                                            • Experience with SQL (preferably Microsoft SQL Server Management Studio, SSMS) in querying, structuring tables, and interacting with relational databases
                                                            • Demonstrated experience in the following areas: dashboard development, operational and executive reporting, data analysis and visualization, KPI production, data management and governance
                                                            • Strong interpersonal and communication skills; fluency in Spanish preferred
                                                            • Ability to manage multi-dimensional projects and workstreams from concept to completion within a matrix environment and across business lines

                                                            -


                                                            -

                                                            Work Arrangement:

                                                            +

                                                            The Role:

                                                            +

                                                            We are looking for an energetic and results-driven Senior Project Lead/Technical Navigator. The role acts as the link between the business and the technical teams across the Bank to make sure that the project teams deliver quality solutions that are optimized, secure, highly scalable, and flexible - all while maintaining a strong customer focus. Balancing the business needs versus technical constraints while keeping customer satisfaction as a top priority.

                                                            -

                                                            • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                            +

                                                            Where could you work? Both at home and in the office.

                                                            +

                                                            We’re focused on being an employer of choice for the communities we serve and offering a hybrid work environment for top Tech talent in Canada’s capital city. 
                                                            We’re creating a local ScotiaTech Hub in Ottawa. You’ll have the opportunity both to work remotely and head to the Ottawa office for in-person moments that foster team cohesiveness and collaboration.

                                                            -

                                                            Interested?

                                                            At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.

                                                            What's in it for you?

                                                            Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

                                                            +

                                                            Is this role right for you?

                                                            +
                                                            • Show proven ability to deliver projects using Agile methodologies and lean approach techniques.
                                                            • Communicate proactively with all stakeholders to provide encouragement, identify problems, create solutions. and implement efficiency improvements.
                                                            • Establish priorities, standards, and strategies consistent with technology roadmap, business goals and economic viability.
                                                            • Work with project sponsor to help understand infrastructure needs, and technical constraints to establish the scope of the project and define and deliver complex features.
                                                            • Understand business requirements and translating them into technical guidelines for development.
                                                            • Lead Data Delivery initiatives and manage diverse projects by providing guidance to development teams around intricacies and complexities of zero-based development.
                                                            • Provide input to the continuous improvement of processes and adopting latest technologies and methodologies.
                                                            • Coach for effective teamwork, communication, collaboration, and commitment across groups to help create an agile culture in the team.
                                                            • Lead pilot projects for the development of new applications
                                                            • Coach teams to re-build or build from scratch applications for infrastructure based on latest technology.
                                                            • Meet product owners, project sponsors, project stakeholders on a regular basis and help technical teams to identify, define, and specify solutions.
                                                            • +

                                                            -

                                                            Location(s): Canada : Ontario : Mississauga

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Mississauga-Data-Analyst-%2812-Month-Contract%29-ON-L4W0B4/584311317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-19T20:37:00.000Z,False,0,19,135,https://talenthub.vectorinstitute.ai/jobs/341358448-data-analyst-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Analyst-%2812-Month-Contract%29-ON-L4W0B4/584311317/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0feb713e-cb8b-4754-81b0-470c38f3bf0f,341819801,RBC,Data Scientist,on_site,"Toronto, ON, Canada",2024-09-12T16:05:04.906Z,"
                                                            -

                                                            Job Summary

                                                            -

                                                            -

                                                            -

                                                            Job Description

                                                            +

                                                            Do you have the skills that will enable you to succeed in this role?

                                                            +
                                                            • Bachelor’s degree (or higher) in Computer Science or related field
                                                            • A solid CS foundation including at least three (3+) years of experience in a software engineering and development role, experience with scalability issues and multi-tiered integration solutions
                                                            • 3+ years of team lead experience with interdisciplinary teams, driving technology projects (application development and infrastructure) with aggressive and changing schedules
                                                            • 3+ years of hands-on experience on scaled Agile methodologies
                                                            • Certified in Agile methodologies is an asset (Scrum, Kanban).
                                                            • Passionate about technology, maintains superior knowledge of emerging industry trends across multiple disciplines
                                                            • Thinks outside of the box and is able to lead the teams to innovate
                                                            • Ability to effectively manage multiple projects of varying complexity in a sophisticated matrix management organization.
                                                            • Knowledge of Hadoop technologies and Big Data design – nice to have
                                                            • Good knowledge of retail banking products and services – nice to have
                                                            • Familiar with Cloud Technologies (BaaS, IaaS, PaaS)
                                                            • +
                                                            +

                                                            +

                                                            What's in it for you?

                                                            +
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • We provide you with the tools and technology needed to create beautiful customer experiences
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • Dress codes don't apply here, being comfortable does
                                                            • Onsite cafeteria
                                                            • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.
                                                            • +
                                                            +

                                                            +

                                                            #ottawahub 

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Ottawa

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Project-Lead-%28Ottawa-Hub%29-ON/557293317/,feed-importer@jobboard.io,,,,2022-03-29T05:11:09.769Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/116168390-senior-project-lead-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Project-Lead-%28Ottawa-Hub%29-ON/557293317/,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +80c4a296-71c7-4e83-b88f-692c3a1a2fdf,116499632,RBC,Sr. Data Analyst,on_site,"Toronto, ON, Canada",2022-03-24T12:45:06.213Z,"
                                                            +

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            Sr. Data Analyst

                                                            -

                                                            What is the opportunity?

                                                            -

                                                            RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill.

                                                            +

                                                            Job Description

                                                            +
                                                              +
                                                            • Effectively analyze large datasets to drive business decisions and outcome
                                                            • +
                                                            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
                                                            • +
                                                            • Collaborate proactively with various business and operation units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making
                                                            • +
                                                            • Prepare and integrate large and various types of data (structured/non-structured)
                                                            • +
                                                            • Implement machine learning models, data mining methods, and statistical analysis
                                                            • +
                                                            • Leverage visualization tools/packages to create powerful representations of results
                                                            • +
                                                            • Produce data-driven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives
                                                            • +
                                                            • Collaborate with the development team to deploy production-scale solutions
                                                            • +
                                                            • Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
                                                            • +

                                                            -

                                                            What will you do?

                                                            +

                                                            +

                                                            Job Summary

                                                            As the Data Analyst, you will develop, design, and implement cutting-edge AI solutions to drive innovation at RBC Cyber Security. Leveraging leading edge technologies and various data sets, you will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to protect the organization from various security threats.
                                                            You will identify business problems and opportunities in the context of the requirements and recommend solutions that enable the organization to achieve its goals. Using the broad spectrum of tools and approaches available at RBC, the Data Analyst will define the solutions to meet sponsor/stakeholder needs. You will be required to always be conscious and considerate of the most effective change management approach and looking to optimize business value by recommending well thought out and researched solutions.

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Technology and Operations

                                                            Job Type:

                                                            Service Provider (Training Not Required)

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-03-22-07:00

                                                            Application Deadline:

                                                            2022-03-31-07:00
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000001344/Sr-Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-03-31T14:41:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/116499632-sr-data-analyst-at-rbc,,expired,2022-03-24T12:45:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +569e2de4-edd4-4267-bfed-2daa57edcbbf,115150651,Magna International,Data Scientist,on_site,"Ontario, Canada",2022-03-17T15:24:33.205Z,"


                                                            Group Description

                                                            +

                                                            At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                                            +

                                                            We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                                            +

                                                            +

                                                            Role Summary

                                                            +

                                                            The Data Scientist will be a key member of the R&D team and will use knowledge and expertise to solve data-related challenges in manufacturing operations and data analyses related to R&D projects. The incumbent will work with individuals and groups within and outside of Magna, while acting independently on technical matters pertaining to the designated subject area.

                                                            +

                                                            Key Responsibilities

                                                              -
                                                            • Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment.

                                                            • -
                                                            • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

                                                            • -
                                                            • Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources.

                                                            • -
                                                            • Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment.

                                                            • -
                                                            • Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems.

                                                            • -
                                                            • Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources.

                                                            • -
                                                            • Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).

                                                            • -
                                                            • Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.

                                                            • -
                                                            • Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.

                                                            • -
                                                            • Utilizing APIs to collect data from various products into the Data Warehouse Database.

                                                            • +
                                                            • Prepare & perform data analysis as required
                                                            • +
                                                            • Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, simulate, and deploy with minimal supervision
                                                            • +
                                                            • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and Executive leadership
                                                            • +
                                                            • Support, plan, and execute ML and AI initiatives, manage and facilitate initial small-scale implementation, and support broad deployment and adoption within the organization
                                                            • +
                                                            • Leverage internal and external expertise as required
                                                            • +
                                                            • Regularly interface with senior management to provide project updates
                                                            • +
                                                            +

                                                            Key Qualifications/Requirements

                                                            +
                                                              +
                                                            • Master’s Degree in Mathematics, Statistics, Computer Science, Economics, Physics or a closely related education with 2+ years of experience in industry with a focus on data analytics
                                                              • Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science or a closely related education with 5+ years of experience in industry with a focus on data analytics
                                                              +
                                                            • +
                                                            • PhD preferred
                                                            • +
                                                            • Knowledge of manufacturing related data analytics is an asset
                                                            • +
                                                            • Knowledge of deployment of ML models and python/R code as an API locally and on cloud is an asset
                                                            • +
                                                            • Experience with a wide variety of ML and AI techniques and algorithms
                                                            • +
                                                            • Advance knowledge of R, Python, SQL and other related tools and toolchains to be able to oversee, direct, and manage projects in the field
                                                            • +
                                                            • 2+ years of experience in at least one of the following languages: Python, R
                                                            • +
                                                            • Working knowledge of GCP, AWS and/or Azure toolchains for data analysis
                                                            • +
                                                            • Experience with visualization tools such as Tableau and PowerBI
                                                            • +
                                                            • Willingness to ask questions and build networks/relationships with other departments/groups
                                                            • +
                                                            • Plan, organize, and supervise the work of external team of Engineers, Scientists and Technicians pertaining to projects that s/he is responsible for
                                                            • +
                                                            • Evaluate progress of the external staff and results obtained
                                                            • +
                                                            • Ability to recommend changes to achieve overall objectives
                                                            • +
                                                            • Advise on the management of staffing needs, selection/ assessment criteria, and the hiring process
                                                            • +
                                                            • Plan, organize, and supervise the work of external teams of Engineers, Scientists and Technicians pertaining to projects that s/he is responsible for
                                                            • +
                                                            • Evaluate progress of the external staff and results obtained
                                                            • +
                                                            • Recommend changes to achieve overall objectives
                                                            +

                                                            Additional Information

                                                            +

                                                            Accommodations for disabilities in relation to the job selection process are available upon request.

                                                            +

                                                            Awareness. Unity. Empowerment.

                                                            +

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ON/557665417/,aimasters@vectorinstitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-03-22T21:32:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/115150651-data-scientist-at-magna-international,,expired,2022-03-17T15:24:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,PhD,New Posting, +80158816-4d35-4632-a1e7-6dec8b76b795,112915277,Scotiabank,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-03-07T18:21:31.273Z,"

                                                            Purpose:

                                                            +


                                                            The Senior data scientist, Canadian Banking Analytics will support business use-cases delivery, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will partner with peers across Global Risk teams, the business lines, IT&S, ML Ops and technology to apply advanced analytics techniques and tools, as well as explore ideas to enhance business opportunities by leveraging state-of-the-art machine learning and artificial intelligence. The candidate will identify and prioritize opportunities to deliver innovative retail and business credit solutions leveraging risk-reward predictions and strategy optimization frameworks.

                                                            +

                                                            +

                                                            Accountabilities:

                                                            -

                                                            What do you need to succeed?

                                                            -

                                                            Must have:

                                                              -
                                                            • University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).

                                                            • -
                                                            • Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc.

                                                            • -
                                                            • Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo).

                                                            • -
                                                            • Excellent knowledge in MS SQL Server DBA.

                                                            • -
                                                            • Good knowledge with Microsoft Windows Server Administration.

                                                            • -
                                                            • Excellent knowledge in Python, SQL and C# Programming languages.

                                                            • -
                                                            • Excellent Knowledge in cloud orchestration.

                                                            • -
                                                            • Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop.

                                                            • -
                                                            • Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis

                                                            • -
                                                            • Strong communication, collaboration, and problem-solving skills

                                                            • -
                                                            • Ability to prioritize work and manage multiple work streams concurrently

                                                            • +
                                                            • Work in Agile Rapid Lab environment to deploy new credit solutions in 90-day increments
                                                            • +
                                                            • Collaborate with GRM, business lines and other stakeholders and partners to define machine learning and artificial intelligence best-practices for agile rapid labs and deliver actionable insights to capitalize on business opportunities
                                                            • +
                                                            • Lead data scientists delivering end to end projects of risk-reward predictions, strategy optimizations and machine learning playbooks to drive innovative credit solutions within risk appetite thresholds
                                                            • +
                                                            • Build 1-2 analytical playbooks (i.e. Cashflow Insights, Pre-approved Credit, Credit Optimization, High Risk Account Management, Collections, Fraud, etc.) across global retail footprint to support growth or de-risking initiatives
                                                            • +
                                                            • Lead Research & Development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation in analytics, machine learning and artificial intelligence
                                                            • +
                                                            • Collaborate with MLOps team to deploy AI and machine learning models in production, across business lines and products
                                                            • +
                                                            • Create and apply model and algorithm testing strategies; conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
                                                            • +
                                                            • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                            • +
                                                            • Present results to business stakeholders and help implement real data-driven changes
                                                            • +
                                                            • Lead research & development work focused on the effective application of design thinking and scalable advanced techniques to drive ideation and innovation
                                                            • +
                                                            • Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in rapid labs across key markets through advisory and scalable solutions
                                                            • +
                                                            • Support a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team
                                                            • +
                                                            • Liaise with GRM Financial Management for insights on risk appetite, early warnings and IFRS9
                                                            +



                                                            Requirements & Qualifications:

                                                            -

                                                            Nice-to-have:

                                                              -
                                                            • Ability to create data architectures.

                                                            • -
                                                            • Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive).

                                                            • -
                                                            • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.

                                                            • -
                                                            • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets.

                                                            • -
                                                            • Familiarity with structured and non-structured data.

                                                            • -
                                                            • A desire to learn new techniques and technologies

                                                            • +
                                                            • Master University degree in STEM discipline (Science, Technology, Engineering and Mathematics)
                                                            • +
                                                            • High business acumen with good understanding of Retail and Business Banking operations across all channels, as well as regulatory and socio-economic landscape across global footprint; Working experience leading complex risk analytics projects covering full credit life cycle is preferred
                                                            • +
                                                            • Minimum 3-5years working experience with advanced analytics, machine learning and other AI techniques applied to real world problems
                                                            • +
                                                            • Capability of writing error-free, high quality, maintainable and reusable code
                                                            • +
                                                            • Proven leadership skills with ability to lead large teams and deliver on large-scale projects
                                                            • +
                                                            • Solid interpersonal and communication skills with ability to build strategic relationships and influence stakeholders and deliver presentations to executive audience
                                                            • +
                                                            • Strong experience with common machine learning and deep learning programming languages and libraries (e.g. Python, R, scikit-learn, TensorFlow, Pandas, Numpy, XGBoost, PyTorch and etc.)
                                                            • +
                                                            • Experience with cleaning, transforming and visualizing large data sets in various data formats (e.g. unstructured logs, XML, JSON, flat files, Avro, Parquet)
                                                            • +
                                                            • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, Kafka)
                                                            • +
                                                            • Strong collaboration skills with ability to translate technical knowledge into business value
                                                            • +
                                                            • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL, Oracle)
                                                            • +
                                                            • Working experience of strategy optimization leveraging operations research principles
                                                            • +
                                                            • Experience using visualization tools e.g. Tableau, PowerBI, Matplotlib, Seaborn, plotly and etc.

                                                            -

                                                            What’s in it for you?

                                                            -

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +


                                                            Preferred to have:

                                                            +

                                                              -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • -
                                                            • Ability to make a difference and lasting impact

                                                            • -
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • -
                                                            • A world-class training program in financial services

                                                            • -
                                                            • Flexible work/life balance options

                                                            • -
                                                            • Opportunities to do challenging work

                                                            • +
                                                            • Working experience of strategy optimization leveraging operations research principles would be an asset
                                                            • +
                                                            • Experience with Docker, Airflow, etc
                                                            • +
                                                            • Knowledge of software engineering, development lifecycle, quality assurance, testing methodologies
                                                            • +
                                                            • Hands on experience with deep learning models such as CNN, LSTM and autoencoder
                                                            • +
                                                            • Hands on experience with one of the cloud platforms (GCP, AWS and Azure)
                                                            +

                                                            -

                                                            #TechPJ

                                                            -

                                                            #LI-Hybrid

                                                            -

                                                            #LI-Post

                                                            -

                                                            -

                                                            -

                                                            Job Skills

                                                            Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2T6/557203117/,aimasters@vectorinstitute.ai,https://www.scotiabank.com/careers/en/careers.html,,,2022-03-22T21:32:00.000Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/112915277-senior-data-scientist-at-scotiabank,,expired,2022-03-07T18:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +898fb116-b479-4259-8ccd-1cbb529d5756,116275769,Sun Life Financial,"Director, Data Science (Machine Learning)",on_site,"Ontario, Canada",2022-03-23T07:03:01.912Z,"
                                                            +
                                                            +
                                                            +

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            -

                                                            Additional Job Details

                                                            -

                                                            Address:

                                                            RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                            City:

                                                            TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            TECHNOLOGY AND OPERATIONS

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2024-08-20

                                                            Application Deadline:

                                                            2024-09-30

                                                            +

                                                            Job Description:

                                                            +

                                                            Role Summary

                                                            +

                                                            As one of Sun Life Canada’s largest business units, Insurance Solutions is responsible for designing and distributing leading-edge life and health insurance products to over 2 million individual retail Clients across Canada.

                                                            +

                                                            Reporting to the AVP, Innovation and Analytics, the Director will lead machine learning and predictive analytics initiatives within Insurance Solutions to conceptualize, develop, and operationalize data science solutions for specific use cases across multiple functional areas including underwriting, sales, product management and actuarial. The successful candidate will hire and lead a high-performing team of data scientists and provide thought leadership on the application of advanced analytics to business problems. This role currently has two (2) direct reports.

                                                            -
                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            -
                                                            +

                                                            The ideal candidate is a challenge-seeking, intellectually curious, results-oriented analytics leader with a hands-on mentality and passion for leveraging data to drive business outcomes.

                                                            +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Hire and lead a team of data scientists to identify, develop, and operationalize high quality, robust machine learning solutions to meet the use cases of key functional areas within Insurance Solutions (e.g. underwriting, sales, product management, actuarial)

                                                            • +
                                                            • Lead the research, development, and enhancement of existing models (e.g. Sun Life’s accelerated underwriting model)

                                                            • +
                                                            • Lead the research and evaluation of new data sources, both internal and external; apply machine learning and deep learning techniques to extract actionable insights from available data; write complex SQL queries to extract and integrate data from multiple database sources

                                                            • +
                                                            • Liaise with senior executives, product managers, actuaries and sales teams, to define use cases and deliver innovative solutions in order to help meet their business growth and profitability objectives

                                                            • +
                                                            • Coach and grow a high-performing team of data scientists with clear direction and proactive leadership, strategic assignment of responsibilities, and other training opportunities

                                                            • +

                                                            +

                                                            What do you need to succeed?

                                                            +
                                                              +
                                                            • M.S. or PhD in mathematics, computer science or other relevant fields, or equivalent work experience

                                                            • +
                                                            • 6+ years of industry experience with 4+ years leading data science projects with hands-on experience building and deploying statistical / machine learning models

                                                            • +
                                                            • 3+ years experience in managing a team of data scientists

                                                            • +
                                                            • Extensive knowledge of machine learning and deep learning tools and concepts (e.g. Random Forests, Neural Networks, XGBoost), including applications in NLP

                                                            • +
                                                            • Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

                                                            • +

                                                            -

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                            -
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000097028/Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-19T20:38:00.000Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/341819801-data-scientist-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -8499e195-242b-4d10-8a77-6f8d2bf26417,342711331,Accenture,Data Scientist Consultant,on_site,"Toronto, ON, Canada",2024-09-19T12:37:02.174Z,"
                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            We are:

                                                            -

                                                            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                                            -

                                                            Stronger together!

                                                            -

                                                            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                                            -

                                                            The value for our clients and our people

                                                            -

                                                            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                                            -

                                                            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                                            -


                                                            The Work:

                                                            -

                                                            +

                                                            What will be nice to have?

                                                              -
                                                            • Analyze large and complex datasets to extract actionable insights and identify trends.
                                                            • -
                                                            • Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
                                                            • -
                                                            • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
                                                            • -
                                                            • Design experiments and interpret results to test hypotheses and validate models.
                                                            • -
                                                            • Create data visualizations and dashboards to communicate findings and insights to stakeholders.
                                                            • -
                                                            • Ensure data quality, integrity, and accessibility through collaboration with data engineers.
                                                            • -
                                                            • Contribute to the continuous improvement of data science infrastructure and processes.
                                                            • -
                                                            show more show less
                                                            -
                                                            -
                                                            -

                                                            Qualifications

                                                            -
                                                            -
                                                            -

                                                            Here’s what you need:

                                                            -

                                                            +
                                                          • Life and health insurance industry experience, preferably a background in underwriting, distribution, actuarial, or product management

                                                          • +
                                                          • Experience with cloud-based big data tools and platforms: AWS, SageMaker

                                                          • +
                                                          • In depth understanding of big data technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

                                                          • +
                                                          • Experience with data analytics and data visualization best practices

                                                          • + +

                                                            +

                                                            What’s in it for you?

                                                              -
                                                            • 3+ years knowledge of SQL and experience working with relational databases.
                                                            • -
                                                            • 2+ years’ experience developing predictive models and machine learning algorithms to solve business problems and optimize processes.
                                                            • -
                                                            • 2+ years’ experience collaborating with cross-functional teams to understand business requirements and translate them into data-driven solutions.
                                                            • -
                                                            • 2+ years’ experience in programming languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
                                                            • -
                                                            • 3+yearsexperience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate insights effectively.
                                                            • -
                                                            • Relevant exposure to Cloud Platforms (AWS/Azure/GCP)
                                                            • -
                                                            • This role is based in our Local ATCs in Montreal and will require you to be in person on-site 2-3 days per week.
                                                            • -
                                                            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                                            • +
                                                            • Competitive salary and bonus structure influenced by market range data

                                                            • +
                                                            • 20 days vacation per year and an innovative sabbatical program

                                                            • +
                                                            • A friendly, collaborative and inclusive culture in a hybrid, remote environment

                                                            • +
                                                            • Being part of our Analytics community, where we share best practices and broaden skill sets

                                                            • +
                                                            • Flexible Benefits from the day you join to meet the needs of you and your family

                                                            • +
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • +
                                                            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                            +

                                                            +

                                                            +

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            +

                                                            +

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            +

                                                            +

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            +

                                                            +

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            +

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            +

                                                            Salary Range:

                                                            104,000/104 000 - 171,700/171 700

                                                            +

                                                            Job Category:

                                                            Advanced Analytics

                                                            +

                                                            Posting End Date:

                                                            13/03/2022
                                                            +
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Lead-Data-Scientist--Director_JR00046916?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-03-24T21:25:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/116275769-director-data-science-machine-learning-at-sun-life-financial,,expired,2022-03-23T07:03:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +ed3ee475-51bf-48ad-9e35-09b733abc5fd,110110431,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2022-02-22T02:42:06.220Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Canada
                                                            All Available Locations: 15993; 15952; 15956; 15975; 15978; 15997

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office

                                                            +
                                                            +
                                                            +

                                                            +

                                                            Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +
                                                            +

                                                            As a Senior Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

                                                            +

                                                            In this role, you will :

                                                            +
                                                            • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
                                                            • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
                                                            • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
                                                            • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
                                                            • +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +

                                                            Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            You are someone with:

                                                            +
                                                            • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
                                                            • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
                                                            • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                            • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
                                                            • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                                            • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                                            • Master of Business Administration or Masters of Management in Analytics is preferred
                                                            • +
                                                            +


                                                            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                                            +

                                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            +
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • +
                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            +

                                                            +

                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/844885300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-24T20:57:56.791Z,False,0,0,23,https://talenthub.vectorinstitute.ai/jobs/110110431-senior-consultant-ai-strategy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/844885300/,expired,2022-02-22T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +958a1eab-290d-4c85-9951-4681e9b6e86a,110387147,TELUS,Machine Learning and Artificial Intelligence Architect,on_site,"Ontario, Canada",2022-02-24T07:33:11.096Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +

                                                            +

                                                            Join our team

                                                            +


                                                            The Network Architecture and Convergence is a newly created, innovative team that is also responsible for cross-domain network architecture development covering cloud orchestration, network slicing, automation and assurance, data analytics and network exposure with holistic architecture alignment; in addition to wireless/wireline convergence covering access, network, policy, subscriber data, provisioning and charging. With the fast evolving 5G ecosystem driven by rapid technological, regulatory, and customer demand changes, the level of uncertainty and complexity of this transformation is increasing. Still, the opportunities are greater today than ever before for industry players like TELUS. We are embracing disruption, reimagining network services capabilities, and driving growth by leveraging the latest technologies

                                                            +

                                                            +

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            +


                                                            You are a machine learning and artificial intelligence solution architect who prides yourself on leading digital transformation by introducing latest technology of artificial intelligence and machine learning models. You truly believe in the adoption of IT and cloud orchestration and automation, and data analytics to drive intelligent network operation that enables the efficient and creative growth of wireless and wireline networks, while reducing costs. Finally, your passion and initiative in translating and applying your learnings in wireless and wireline communication networks will propel TELUS’ digital transformation.

                                                            +

                                                            +

                                                            Here’s how

                                                            +


                                                            • You will lead the cross domain ML/AI enabler architecture, strategy, design, and align with automation, 5G network slicing, cloud, and 5G network
                                                            • You will develop/design ML/AI reference architecture framework applied to Radio, core, transport, service and cloud (hyper scaler) domains, to enable truly artificial intelligent network with machine learning capability
                                                            • Through collaboration with multiple teams, you will drive innovation in automation, artificial intelligence, and big data analytics
                                                            • Create business cases to secure necessary capital for overall ML/AI reference architecture
                                                            • You will work with other senior architects in order to identify the existing gaps in the network to get fully automated network with predicative model by Lead the iterative development, validation, and deployment of AI/ML models
                                                            • You will develop and analyze RFP’s to introduce new platforms and system to get fully automated network
                                                            • You will manage the vendor relationship once established on behalf of TELUS
                                                            • You will develop the ML/AI enabler roadmap with the collaboration with other teams
                                                            • You will plan, execute and report on strategic trials in the lab with collaboration with other teams across TELUS

                                                            +

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            -

                                                            #LI-NA

                                                            -
                                                            -
                                                            -
                                                            -

                                                            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                                            -
                                                            -

                                                            Our Commitment to Inclusion & Diversity

                                                            -

                                                            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                            -

                                                            Requesting An Accommodation

                                                            -

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            -

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                            -

                                                            Other Employment Statements

                                                            -

                                                            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                            -

                                                            Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                            -
                                                            -
                                                            -
                                                            Share
                                                            -
                                                            Share
                                                            -
                                                            Job Link:
                                                            Copy
                                                            +

                                                            +

                                                            You’re the missing piece of the puzzle

                                                            +

                                                            +

                                                            • Machine learning open source frame work (PyTorch, JAX and NumPy,TensorFlow, Scikit-learn, Pandas etc.)
                                                            • Experience with Big Data & Analytics tools such as Kafka, Kinesis, Hadoop, Big Query, DataFlow, Pub/Sub, etc
                                                            • 5+ years of relevant IT Architecture experience, advanced technical and analytical skills, and the ability to take responsibility for the overall technical direction of the project
                                                            • Knowledgeable in one or more development/scripting languages and orchestration/API tools (Java, YAML, Shell, Json, Python, Keras etc.)
                                                            • Advanced knowledge in SQL and Apache Spark
                                                            • Well versed in software and AI development lifecycles, including ML Ops
                                                            • Knowledge of 5G network protocols and experience with network management are pluses especially 3GPP standard (NWDAF and MDAF)
                                                            • Expert knowledge of the software project lifecycle—from concept through design to implementation and test.
                                                            • Proven track record of leading data analytics, 5G SA and automation projects
                                                            • Creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
                                                            • Ability to manage key deliverables as part of an extended project team
                                                            • Strong communication and interpersonal skills, with an ability to translate complex technical concepts to non-technical audiences
                                                            • A Bachelor degree in Computer Science, Information Systems or related field, Master’s preferred

                                                            Great-to-haves

                                                            +

                                                            +

                                                            • 5+ years of telecommunications experience
                                                            • Multi- or Hybrid-cloud architectures
                                                            • Architecture and design experience with Google Cloud Platform (GCP)/OpenShift Container Platform (OCP)/Amazon Web Services (AWS) and/or Azure products
                                                            • Experience with containerization tools such as Docker, Kubernetes, and/or OpenStack technology and networking (CNI, Calico, Multus, VxLAN, vSwitch etc
                                                            • Skilled in Continuous Integration and Continuous Delivery (CI/CD) tools, i.e. Spinnaker, Jenkins, GitHub Actions, GCP Cloud Build, Jupyter etc

                                                            +

                                                            -
                                                            -
                                                            -
                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228406_en&title=Data%20Scientist%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-09-23T08:49:02.245Z,False,0,20,78,https://talenthub.vectorinstitute.ai/jobs/342711331-data-scientist-consultant-at-accenture,,expired,2024-09-19T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, -d6924833-8822-40ba-b095-4d6297174f53,341819803,RBC,Senior Data Engineer,on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.105Z,"
                                                            -

                                                            Job Summary

                                                            Examiner et opérationnaliser les sources de mégadonnées en utilisant des technologies et des procédés scientifiques pour découvrir des produits et des perspectives d’affaires et les communiquer. Gérer généralement deux services spécialisés ou plus composés de personnes assumant des rôles de supervision et de direction, de personnel de fonction et d’un nombre important de membres du personnel assurant un soutien opérationnel.

                                                            -

                                                            -

                                                            Job Description

                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Scarborough-E2E-Data-Analytics-Architect-ON/551407117/,feed-importer@jobboard.io,,,,2022-03-26T16:41:44.952Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/110387147-machine-learning-and-artificial-intelligence-architect-at-telus,,expired,2022-02-24T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +188fdfab-33c4-442c-8cc7-e86ea7eca342,110355375,Deloitte,"Data Scientist, Omnia AI, Ottawa",on_site,"Ottawa, Ontario, Canada",2022-02-24T02:42:05.831Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Ottawa, Ontario, Canada
                                                            All Available Locations: 15978

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Be encouraged to deepen your technical skills…whatever those may be.
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            +
                                                            +
                                                            +

                                                            +

                                                            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +

                                                            As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +

                                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            You are someone with:
                                                            • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                            • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                            • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                            • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                            • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                            • Strong experience with Machine Learning Project management experience is an asset
                                                            • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                            • Enthusiastic about solving complex problems with a variety of analytical tools
                                                            • Professional services, consulting, or advisory experience is an asset
                                                            • Strong oral and written communication skills
                                                            • Interest in continuing to develop analytical and business development skills
                                                            • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                            • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                            +

                                                            Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            +
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • +
                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            +

                                                            +

                                                            Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Ottawa-Data-Scientist%2C-Omnia-AI%2C-Ottawa-ON-K1P-5T8/835327200/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-03-26T16:36:57.154Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/110355375-data-scientist-omnia-ai-ottawa-at-deloitte,https://careers.deloitte.ca/job/Ottawa-Data-Scientist%2C-Omnia-AI%2C-Ottawa-ON-K1P-5T8/835327200/,expired,2022-02-24T02:42:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +6c9c9af5-7f2d-4572-94d4-784302616c19,110807329,BMO Financial Group,Senior Data Scientist,on_site,"Toronto, ON, Canada",2022-02-25T19:05:23.320Z,"

                                                            Address:

                                                            +

                                                            55 Bloor Street West

                                                            -

                                                            What is the Opportunity?

                                                            -

                                                            The GRM Portfolio Risk Oversight group provides independent and effective on-site monitoring, control and communication on the nature and extent of material risks for Business Financial Services (BFS). We are looking for someone who can drive custom risk Analytics and Insights to business partners by building and operating a modern data stack for reporting & analytics. As a Senior Data Engineer you will contribute to the overall success of the BFS risk oversight strategies and objectives. You are accountable for architecting, implementing and managing data models and data pipelines, developing, maintaining and upscaling the cloud data platform/services vital to the continued growth of broader team

                                                            +

                                                            Job Family Group:

                                                            +

                                                            Data Analytics & Reporting

                                                            -

                                                            Portfolio Risk Oversight (PRO) is an extremely dynamic team, capable of proactively uncovering insights and risk trends by applying data science methodologies. To succeed you will have to develop and maintain strong ties with business leaders to support decision making through a combination of custom analytics and the evolution of the PRO data infrastructure. The PRO team leverages modern data stack, which requires constant refinements and enhancements to provide business users with relevant and timely self-serve analytics. You will ensure that our team is successful by leveraging the data in the best possible way. You will be a hands-on analytics practitioner and consultant to ensure that we track, maintain and analyze data in a way that leads us to optimize operational processes and make better business decisions.

                                                            -

                                                            What will you do?

                                                            -
                                                              -
                                                            • Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution and monitoring of key transformational initiatives

                                                            • -
                                                            • Provide architecture guidance, performance tuning and big data engineering expertise for use cases that require capabilities in Federated Queries, Data Ingestion and Distributed Computing.

                                                            • -
                                                            • Building and supporting data engineering pipelines in Python using PySpark and Apache Airflow

                                                            • -
                                                            • Manage and optimizes an inventory of risk data sources. Responsible for compiling, aggregating, testing and validating different data repositories/sources for the risk dashboards ensuring completeness, accuracy, timeliness and integrity of information;

                                                            • -
                                                            • Develop data products by writing code that is modular, reliable, maintainable & replicable by leveraging open source data science libraries (Pandas, SQLAlchemy ,scikit-learn, airflow, pyarrow, nltk, spaCy)

                                                            • -
                                                            • Identify, design, and implement internal process improvements: automating manual processes, orchestrating and optimizing data delivery across on-premises data platforms, re-designing data models for greater scalability, etc.

                                                            • -
                                                            • Build on and optimize the existing foundation of data pipeline architectures required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various methods, programming languages, and software technologies, adjusting as needed to optimize effectiveness.

                                                            • -
                                                            • Coordinate Linux VMs maintenances and maintain Docker Containers and basic shell scripting

                                                            • -

                                                            -

                                                            What do you need to succeed?

                                                            -

                                                            Must-have:

                                                            -
                                                              -
                                                            • Bachelor’s degree in computer science, Information Technology, or a related field.

                                                            • -
                                                            • Experience working with containers and orchestration tools like (Docker, Kubernetes, Apache Airflow, CI/CD, etc.)

                                                            • -
                                                            • Must be proficient in working on Linux RHEL v8-9

                                                            • -
                                                            • Experience using Environments technologies such as Hadoop/Spark, Virtual Servers, SQL, Oracle, DB2, NoSQL/SQL databases, Storage SAN/NAS.

                                                            • -
                                                            • Expertise SQL, coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Spark.

                                                            • -
                                                            • Experience developing and maintaining reporting environments across multiple platforms (e.g. ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, Hadoop, Python, etc.).

                                                            • -
                                                            • Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database source.

                                                            • -

                                                            -

                                                            Nice-to-have

                                                            +

                                                            Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                              -
                                                            • Knowledge of Credit Risk Modelling techniques

                                                            • -
                                                            • Experience working with Cloud Technologies

                                                            • -
                                                            • Experience working with Structured vs. Unstructured data

                                                            • -
                                                            • Extensive hands-on experience in designing, developing and maintaining software frameworks using Python, Spark, and Shell Scripts.

                                                            • +
                                                            • Influences and negotiates to achieve business objectives.
                                                            • +
                                                            • Identifies emerging issues and trends to inform decision-making.
                                                            • +
                                                            • Provides strategic input into business decisions as a trusted advisor.
                                                            • +
                                                            • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                            • +
                                                            • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                                            • +
                                                            • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                                            • +
                                                            • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                            • +
                                                            • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                            • +
                                                            • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                                            • +
                                                            • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                            • +
                                                            • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                                            • +
                                                            • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                                            • +
                                                            • Acts as the prime subject matter expert for internal/external stakeholders.
                                                            • +
                                                            • Identifies/creates the appropriate algorithm to discover patterns.
                                                            • +
                                                            • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                                            • +
                                                            • Oversees the development and delivery of tools and training for data and analytics.
                                                            • +
                                                            • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                            • +
                                                            • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                            • +
                                                            • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                            • +
                                                            • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                            • +
                                                            • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                            • +
                                                            • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                                            • +
                                                            • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                            • +
                                                            • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                            • +
                                                            • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                            • +
                                                            • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                            • +
                                                            • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                            • +
                                                            • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                            • +
                                                            • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                            • +
                                                            • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                            • +
                                                            • Performs experimental design approaches to validate finding or test hypotheses.
                                                            • +
                                                            • Uses the appropriate algorithms to discover patterns.
                                                            • +
                                                            • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                            • +
                                                            • Supports development of tools and delivers training for data analytics and AI.
                                                            • +
                                                            • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                            • +
                                                            • Leads/participates in the design, implementation and management of core business/group processes.
                                                            • +
                                                            • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                            • +
                                                            • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                            • +
                                                            • Implements changes in response to shifting trends.
                                                            • +
                                                            • Broader work or accountabilities may be assigned as needed.

                                                              Qualifications:

                                                              +
                                                            • +
                                                            • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                            • +
                                                            • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                                            • +
                                                            • In depth experience using machine learning algorithms.
                                                            • +
                                                            • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                            • +
                                                            • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                            • +
                                                            • Seasoned professional with a combination of education, experience and industry knowledge.
                                                            • +
                                                            • Verbal & written communication skills - In-depth / Expert.
                                                            • +
                                                            • Analytical and problem solving skills - In-depth / Expert.
                                                            • +
                                                            • Influence skills - In-depth / Expert.
                                                            • +
                                                            • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                            • +
                                                            • Able to manage ambiguity.
                                                            • +
                                                            • Data driven decision making - In-depth / Expert.

                                                            -

                                                            What’s in it for you?

                                                            -

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            -
                                                              -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • -
                                                            • Ability to make a difference and lasting impact

                                                            • -
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • -
                                                            • A world-class training program in financial services

                                                            • -
                                                            • Flexible work/life balance options

                                                            • -
                                                            • Opportunities to do challenging work

                                                            • -

                                                            -

                                                            #TechPJ

                                                            -

                                                            #LI-Post

                                                            -

                                                            #LI-Hybrid

                                                            +

                                                            We’re here to help

                                                            +

                                                            +

                                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                            +

                                                            +

                                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                            +

                                                            +

                                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                                            +

                                                            +

                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                            +

                                                            EXPLORE LOCATION

                                                            ",,https://jobs.bmo.com/ca/en/job/R220004747/Senior-Data-Scientist,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2022-03-27T19:05:00.000Z,False,0,3,63,https://talenthub.vectorinstitute.ai/jobs/110807329-senior-data-scientist-at-bmo-financial-group,,expired,2022-02-25T19:05:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +98761455-96ee-4c5a-a2ea-dcea7e16f85f,117046025,CIBC,"Sr. Consultant, Business Analytics",on_site,"Ontario, Canada",2022-03-28T10:10:03.101Z,"
                                                            +
                                                            +
                                                            +

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            +

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            -

                                                            Job Skills

                                                            Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                            +

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            Job Description

                                                            -

                                                            Additional Job Details

                                                            -

                                                            Address:

                                                            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                            City:

                                                            TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            GROUP RISK MANAGEMENT

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2024-07-12

                                                            Application Deadline:

                                                            2024-09-30

                                                            +

                                                            What you’ll be doing

                                                            +

                                                            Reporting to the Senior Director, Business Intelligence, the Senior Consultant, Business Analytics and Insights will support with research, business analysis and dashboard automation. You will directly be accountable for providing business requirements on dashboards to the technology team and execute in a fast paced environment. You will be conducting competitive analysis across the direct investing platforms and identify gaps and opportunities. You will be providing analysis on clients and product insights to the senior management. This role requires a strong background in research, data analysis and data driven decision making skills.

                                                            +

                                                            How you’ll succeed

                                                            +
                                                              +
                                                            • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.

                                                            • +
                                                            • Monitors and tracks dashboard performance, user acceptance testing, and addresses any issues.

                                                            • +
                                                            • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                                            • +
                                                            • Designs and produces regular and ad-hoc reports, and dashboards.

                                                            • +
                                                            • Work with technology to builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                                            • +
                                                            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                            • +
                                                            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                            • +
                                                            • Focus is primarily on business/group within Direct Investing & Advise; may have broader, enterprise-wide focus.

                                                            • +
                                                            • Perform financial modeling on pricing scenarios.

                                                            • +
                                                            • Package presentation for senior leadership consumption on client analytics and insights.

                                                            • +

                                                            +

                                                            Who you are

                                                            +
                                                              +
                                                            • You have 3-5 years of relevant experience as data scientist, data engineer, software engineer, business intelligence engineer, or equivalent experiences from statistics, computer science, mathematics, data science, finance/accounting background.

                                                            • +
                                                            • You have knowledge and experience in data preparation, data mining, data analysis, and statistical tool sets including but not limited to Spotfire, SQL, SAS, ETL, Power BI - In-depth. Tableau, R, Python, MATLAB. You developed standardized reporting strategy or framework, capturing end user requirements to execution and deployment. You bring expertise in building/ operating highly available, distributed systems of data extractions, ingestion and processing of large data sets. You have advanced-level proficiency in writing complex, highly optimized SQL queries across large datasets. And data modeling, data warehousing, and building ETL pipelines.

                                                            • +
                                                            • You bring deep knowledge and financial analysis proficiency gained through extensive education and business experience.

                                                            • +
                                                            • Your influence makes a difference. You know that relationships and networks are essential to success. You have the ability to influence and execute results with your data driven decision making skills.

                                                            • +
                                                            • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                            • +

                                                            -
                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            -
                                                            +

                                                            What CIBC offers

                                                            +

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                            +
                                                              +
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                            • +
                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                            • +
                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                            • +

                                                            +

                                                            What you need to know

                                                            +
                                                              +
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • +
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                            • +
                                                            • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                            • +

                                                            -

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                            -
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000093613/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-23T08:24:03.549Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/341819803-senior-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -71501a62-ea60-4f92-85e2-a951fb0999fe,342710658,Thomson Reuters,"Senior SWE, Legal Prompter",on_site,"Ontario, Canada",2024-09-19T12:20:02.885Z,"
                                                            JOB DESCRIPTION
                                                            -
                                                            -

                                                            About the Role
                                                            We are seeking a creative Senior Software engineer to join the team behind CoCounsel. You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to attorneys all around the country. CoCounsel is already capable of writing legal research memos, summarizing and reviewing documents, and red-lining contracts, just to name a few capabilities--all in minutes, not days or weeks. And we\'re just getting started. As a Senior Software Engineer, Legal Tech Prompting, you will develop code as well as English prose prompts to LLMs to help expand CoCounsel\'s early success. This mix of writing instructions for an interpreter and an LLM is well-suited for someone who can produce reliable backend code, and can also write creative, lucid, and effective prose instructions. Our ideal candidate is a software engineer who can write high-quality code, work with APIs (consuming and serving), and also has domain knowledge of the law (JD, legal industry experience, etc.). A legal background is absolutely necessary.

                                                            As the Senior SWE, Legal Prompter, you will:
                                                            Orchestrate LLM-driven experiences that delight our customers
                                                            Develop code that interacts with state-of-the-art LLMs
                                                            Write, test, and iterate prose prompts for the LLM that leverage your legal domain knowledge, ensuring delivery of accurate, legally sound, and contextually appropriate responses
                                                            Develop code that interacts with data sources & services (APIs, SQL databases, etc.)
                                                            Liaise with legal professionals and other teams at Thomson Reuters to gather and understand requirements
                                                            Integrate the language models into multi-step systems, assessing their performance and making necessary modifications

                                                            About You
                                                            Legal domain expertise. This can mean experience in legal practice, a JD-holder in a “non-traditional” legal career path, a paralegal, or legal industry experience
                                                            3 to 4 years of production level experience in software engineering on an engineering/product team, preferably at a startup
                                                            Proficiency in C# .NET / Python - if C# .NET / python skills are low, then strong experience in other programming languages is necessary
                                                            Proficiency with APIs and SQL is a major plus
                                                            Excellent analytical and problem-solving skills
                                                            Ability to work both independently and in a collaborative environment
                                                            Creative and clear writing skills
                                                            Experience using large language models through code is preferred (such as model services from OpenAI, Anthropic, or Cohere; and/or open source models such as Llama and Mistral)

                                                            -


                                                            #LI-ES1

                                                            -

                                                            -

                                                            What\'s in it For You?

                                                            +

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Job Location

                                                            Toronto-22 Front St., 2nd

                                                            Employment Type

                                                            Regular

                                                            +

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            +

                                                            +
                                                            +
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineering_2205464-1,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-04-04T10:50:13.613Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/117046025-sr-consultant-business-analytics-at-cibc,,expired,2022-03-28T10:10:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +5661822a-e436-468b-91be-d9766ceea4e9,113998004,Deloitte,"Data Engineer - Azure, Omnia AI",on_site,"Ontario, Canada",2022-03-11T02:43:03.423Z,"

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Canada
                                                            All Available Locations: 15993; 15975; 15978; 15997

                                                            +
                                                            +

                                                            +

                                                            Our Purpose

                                                            +

                                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                            +

                                                            By living our Purpose, we will make an impact that matters.

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                            Be encouraged to deepen your technical skills…whatever those may be.
                                                            Build your leadership skills at Deloitte University.
                                                            Have many careers in one Firm.
                                                            Partner with clients to solve their most complex problems
                                                            Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                            Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                            Experience a firm where wellness matters.
                                                            Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                            Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                            Build a network of colleagues for life
                                                            Have an impact that matters through pro bono and significant volunteer opportunities.
                                                            Be empowered to lead and have impact with clients, our communities and in the office.
                                                            Be expected to share your ideas and to make them a reality.
                                                            Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                            Grow your network and your knowledge by joining one of our many Employee Resource Groups.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            +

                                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +
                                                            +

                                                            As a Data Engineer in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, you are tech savvy and have a solid understanding of software development.

                                                            +

                                                            Specifically, in this role, you will:
                                                            • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                            • Work with and lead cross functional teams on architecting, optimizing data systems and building them from the ground up.
                                                            • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                            • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                            • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +

                                                            Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            You are someone with:
                                                            • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                            • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                            • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Azure Cloud using Azure Data Factory, Azure Functions, and Python.
                                                            • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using data storage knowledge of SQL Server, Cosmos DB, and Data Lakes.
                                                            • Experience with implementation of BI platforms such as Databricks and Azure analysis services
                                                            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                            +

                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            +

                                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Our shared values

                                                            +

                                                            While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                            +

                                                            They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                            +

                                                            Every day, we live our Purpose through the following five shared values:

                                                            +
                                                            • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                            • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                            • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                            • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                            • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                            • +
                                                            +

                                                            [Not to be removed or modified – this is firm standard]

                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You? Apply by [insert date].

                                                            +

                                                            At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                            +

                                                            We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                            ",,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-04-05T02:48:33.248Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/113998004-data-engineer-azure-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-Data-Engineer-Azure%2C-Omnia-AI-ON-M5C-3G7/824754400/,expired,2022-03-11T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +94285f95-68f7-4df3-bee1-e2481383ed52,112566467,TELUS,AI Product Manager,on_site,"Ontario, Canada",2022-03-06T07:33:11.774Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +

                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                            +

                                                            +

                                                            The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                            +

                                                            +

                                                            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                            +

                                                            +

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            +


                                                            This is a senior role in the team where you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.
                                                            As an AI Product Manager and Strategist, you will combine your expert knowledge of AI/Analytics with your strong business acumen to facilitate the development of world-class insight products.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Here\'s How

                                                            +
                                                              +
                                                            • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                            • +
                                                            • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                            • +
                                                            • Play the critical role of “translator” i.e. translating business problems into data problems.
                                                            • +
                                                            • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                            • +
                                                            • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                            • +
                                                            • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                            • +
                                                            • You\'re the missing piece of the puzzle
                                                            • +
                                                            • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                            • +
                                                            • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                            • +
                                                            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                            • +
                                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
                                                            • +
                                                            • You are well versed in software and AI development lifecycles, including ML Ops.
                                                            • +
                                                            • You are agile and have a bias for action, removing roadblocks to get results fast
                                                            • +
                                                            +
                                                            +
                                                            +

                                                            Great to Haves

                                                            -


                                                            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                            +

                                                              -
                                                            • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                            • -
                                                            • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                            • -
                                                            • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                            • -
                                                            • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                            • -
                                                            • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                            • +
                                                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                            • +
                                                            • Experience with agile methodology and work in a start-up environment
                                                            • +
                                                            • GCP or other cloud certifications
                                                            • +
                                                            • Experience in Management Consulting
                                                            • +
                                                            • Product Management/Ownership, Scrum Master
                                                            -

                                                            -
                                                            In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

                                                            -

                                                            Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The location(s) for this role include one or more of the following metro locations: Los Angeles, New York City, San Francisco, Washington, DC. The base compensation range for the role in any of those locations is $100,900 - $187,300. The location(s) for this role include one or more of the following states: CA, CO, CT, IL, NV, TX, WA and/or remote. The base compensation range for the role in any of those locations is $91,700 - $170,300. The base compensation range in other locations may vary. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

                                                            -

                                                            This job posting will close 10/08/2024.


                                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                            -

                                                            -

                                                            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                            -

                                                            -

                                                            Accessibility

                                                            -

                                                            -

                                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                            -

                                                            -

                                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                            -

                                                            -

                                                            -

                                                            Protect yourself from fraudulent job postings click here to know more.

                                                            -

                                                            -

                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                            -
                                                            ",,https://careers.thomsonreuters.com/us/en/job/JREQ178272/Senior-SWE-Legal-Prompter?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-09-23T08:32:02.799Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/342710658-senior-swe-legal-prompter-at-thomson-reuters,,expired,2024-09-19T12:20:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -2c13aea1-6bc2-4dce-ad3a-bbace13e5648,341358441,Scotiabank,GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-09T16:30:06.924Z,"

                                                            -

                                                            -

                                                            +


                                                            +
                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON/556216117/,feed-importer@jobboard.io,,,,2022-04-06T17:26:53.763Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/112566467-ai-product-manager-at-telus,,expired,2022-03-06T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, +c8d99071-83c6-46ab-9cad-2a64abab51bc,114035998,Scotiabank,Data Engineer (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-03-11T05:06:06.476Z,"

                                                            -

                                                            Requisition ID: 206540

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025

                                                            -

                                                            Term: January – April 2025

                                                            -

                                                            Location: 40 Temperance Street, Toronto

                                                            -

                                                            -

                                                            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                            +

                                                            Requisition ID: 144824

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                            +

                                                            The Team

                                                            +

                                                            Data Engineering Team under Canadian Banking Technology (CBT) Data Services Organization is 25+ team members in Canada, Colombia and India which are responsible for data Engineering, ingestion, transformation and delivery between Canadian Banking source applications and Enterprise data lake (EDL), Enterprise Data Warehouse and Global Data & Analytics Platform.

                                                            +

                                                            +

                                                            The role:

                                                            +

                                                            Data Engineer is expected to design, develop, test, implement and production support of data ingestion, transformation, and extraction to and from Big Data Platforms across the bank using tools and technologies including but not limited to Talend, NPIF, iWay, Hadoop, Spark, Python, Scala, Autosys, Tidal, Airflow and shell scripting.

                                                            +

                                                            Incumbent is expected to have 7+ years of overall IT experience and 5+ years of practical hands on experience in the field of data integration, engineering and analytics plus have excellent verbal and written English communication skills and work closely with data engineers, project leads, data & solution architects, data analysts and production support across globe in an agile environment.

                                                            -

                                                            Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                            +

                                                            Where could you work? Both at home and in the office.

                                                            +

                                                            We’re focused on being an employer of choice for the communities we serve and offering a hybrid work environment for top Tech talent in Canada’s capital city. 
                                                            We’re creating a local ScotiaTech Hub in Ottawa. You’ll have the opportunity both to work remotely and head to the Ottawa office for in-person moments that foster team cohesiveness and collaboration.

                                                            -

                                                            Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                                            -

                                                            -

                                                            Is this role right for you? In this role, you will:

                                                            -
                                                            • Assist the development and testing of cutting-edge derivatives pricing models
                                                            • Build quantitative tools for trading and structuring desks
                                                            • Build and maintain infrastructure processes for new business lines
                                                            • Ad hoc investigations for trading and marketing desks
                                                            • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                            • Provide support to the trading and sales desks
                                                            • +

                                                              Is this role right for you?

                                                              +
                                                              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                              • Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
                                                              • Contribute to data ingestion, transformation and extraction solutions in Enterprise big data platform (EDL) and Global Data and Analytics Platform
                                                              • Contribute to data and project design and delivery for some of highly visible and critical projects across bank
                                                              • Contribute to translating architecture or design into both logical and physical data models that comply with existing (and evolving) standards and practices.
                                                              • Hands on development supporting Data integration, Analytics and Cloud environments.
                                                              • Work with the Bank’s data governance program
                                                              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                              • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                              • Champions a high-performance environment and contributes to an inclusive work environment.
                                                              -

                                                              -

                                                              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                              -
                                                              • You are currently enrolled in post-secondary education.
                                                              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                              • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                                              • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                                              • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                                              • You have strong analytic and problem-solving skills.
                                                              • You have strong interpersonal skills, results oriented and a team player.
                                                              • You are able to work well in a fast-paced environment with changing priorities.
                                                              • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                                              • +

                                                                +

                                                                Do you have the skills that will enable you to succeed in this role?

                                                                +
                                                                • Graduate degree in STEM (science, technology, engineering, mathematics) related discipline is desirable, along with 7+ years of working in IT and 5+ years practical experience in Data Engineering/Integration and Analytics.
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • +
                                                                  • 3+ years of experience in working with Hadoop Hive, Apache Sqoop, Apache Spark
                                                                  • 3+ years of experience in SQL and ETL Development
                                                                  • 2+ years of hands-on experience working with Talend
                                                                  • 2+ years of hands-on experience with Python or Java programming.
                                                                  • 2+ years of hand on experience with scheduling tools such as Autosys, Tidal, Airflow
                                                                  • 2+ years of software development (SDLC) experience in Agile Scrum/Kanban methodology
                                                                  • 2+ years of development production support experience is an asset
                                                                  • Working experience with DevOps and running Jenkins pipelines
                                                                  • Strong communication and presentation skills
                                                                  • Excellent understanding of RDBMS concepts (Oracle, SQL Server, DB2)
                                                                  • Hands on experience with Unix/Linux Command Line Interface (CLI) and Shell Scripting
                                                                  • Experience with code repository, version control and code promotion tools such as Git/bitbucket and Jenkins
                                                                  -

                                                                  This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                                  -

                                                                  -

                                                                  How do I apply?

                                                                  -

                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                  -

                                                                  -
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Complete a short one-way video interview here.
                                                                  3. Complete a Codility assessment here.
                                                                  4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript
                                                                  5. -
                                                                  -

                                                                  -

                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-23T16:35:05.316Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/341358441-gbm-gafe-financial-engineering-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -e97575cd-77b0-4d6e-9a27-24b2a87192ff,343307677,Scotiabank,"Senior Manager, Sales Application & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.431Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 206926

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            What's in it for you?

                                                            +
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • We provide you with the tools and technology needed to create beautiful customer experiences
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • Dress codes don't apply here, being comfortable does
                                                            • Onsite cafeteria
                                                            • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.
                                                            • +
                                                            +

                                                            Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platform.

                                                            +

                                                            +

                                                            #ottawahub 

                                                            -
                                                            -

                                                            Team Lead, Sales Application & Analytics - Small Business Banking

                                                            Contributes to the overall success of the Small Business department in Canada by ensuring specific individual goals, plans, initiatives are executed and delivered in support of the team’s business strategies and

                                                            objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                            The Team Lead, Sales Application & Analytics is responsible for managing the small business data infrastructure, delivering MIS that enables multiple stakeholders in the Small Business team to monitor & manage the health of

                                                            the portfolio, business activities and results efficiently and effectively based on timely and value added reporting of business performance. The incumbent will leverage his/her subject matter expertise on data,

                                                            database architecture, application design, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners.

                                                            Is this role right for you? In this role, you will:

                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            • Lead the oversight and ensure integrity of daily, weekly, monthly and quarterly reporting of business results to senior management and other stakeholders within the Small Business team, including the Field.

                                                            • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget.

                                                            • Manage Small Business (Source of Truth) database with existing SAS based DB2 data infrastructure to support current and ongoing business reporting – as well as collaborate with internal stakeholders for enable the teams Future Google Cloud Migration

                                                            • Lead automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            • Engage in high impact technology projects to provide subject matter expertise with respect to data architecture, systems integration and application design. Ensure integration of new advanced analytical tools into the analytical infrastructure.

                                                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                            • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                                                            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                            • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                            • MBA (Finance or Marketing) or MMA (Master of Management Analytics) - preferred
                                                            • Leadership experience in a professional setting
                                                            • 8+ years experience in Analytics and/or MIS/Reporting
                                                            • 8+ years experience in programming, application development and/or data warehousing
                                                            • Detailed experience in SQL, SAS, R or Python
                                                            • Strong working knowledge of Database Management and ETL processes
                                                            • Strong communication skills essential with clients, vendors and management
                                                            • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills

                                                            Working Conditions

                                                            • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel domestically.

                                                            What's in it for you?

                                                            • The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
                                                            • A competitive compensation and benefits package.
                                                            • An organization committed to making a difference in our communities– for you and our customers.
                                                            • You can expect to be recognized and rewarded for high-performance. You’ll be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development.
                                                            • You’ll receive clear, transparent criteria to progress in your career.
                                                            +

                                                            Location(s): Canada : Ontario : Ottawa

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Ottawa-Data-Engineer-%28Ottawa-Hub%29-ON/557292917/,feed-importer@jobboard.io,,,,2022-04-08T05:11:07.122Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/114035998-data-engineer-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Data-Engineer-%28Ottawa-Hub%29-ON/557292917/,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +3f7a6121-4c87-4c5b-8b74-4788ff242022,110849835,Borealis AI,DevOps Engineer,on_site,"Ontario, Canada",2022-02-25T21:45:13.643Z,"

                                                            What's the opportunity?

                                                            +

                                                            We’re looking for an experienced Dev/Ops Support Engineer who will bring focus and subject-matter expertise around designing, implementing and supporting machine learning infrastructure and automation tools in production. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Sales-Application-&-Analytics-ON-M5C2W1/584644217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-26T16:35:04.963Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/343307677-senior-manager-sales-application-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Sales-Application-&-Analytics-ON-M5C2W1/584644217/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -8aa81915-57fe-468d-b5c1-49187ce9543f,343277155,Google,"Senior Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-09-23T08:34:03.890Z,"
                                                            -
                                                            -

                                                            Senior Software Developer, Front End, Applied AI

                                                            -
                                                            -
                                                            -
                                                            -
                                                            -
                                                              -
                                                            -
                                                            -
                                                            -
                                                            -
                                                            -

                                                            Minimum qualifications:

                                                            +

                                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                            +

                                                            Your responsibilities include:

                                                              -
                                                            • Bachelor’s degree or equivalent practical experience.
                                                              -
                                                            • -
                                                            • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
                                                              -
                                                            • -
                                                            • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
                                                              -
                                                            • -
                                                            • 3 years of experience with front-end and user interface development.
                                                              -
                                                            • -
                                                            • -
                                                              Experience with Large Language Models, NLP, or Generative AI.
                                                              -
                                                              -
                                                              -
                                                              -
                                                              -
                                                              -
                                                            • +
                                                            • Providing production support and maintenance for ML applications;
                                                            • +
                                                            • Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications;
                                                            • +
                                                            • Collaborating with engineers, and machine learning researchers to automate code analysis, build, integration and deployment of ML applications;
                                                            • +
                                                            • Supporting applications and projects with infrastructure design decisions, and monitoring solutions;
                                                            • +
                                                            • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;;
                                                            • +
                                                            • Providing after-hours production support.
                                                            -

                                                            Preferred qualifications:

                                                            +

                                                            You're our ideal candidate if you have:

                                                              -
                                                            • Master\'s degree or PhD in Computer Science or related technical field.
                                                              -
                                                            • -
                                                            • 1 year of experience in a technical leadership role.
                                                              -
                                                            • -
                                                            • Experience developing accessible technologies.
                                                              -
                                                            • +
                                                            • Strong experience with Site Reliability Engineering, DevOps and production support;
                                                            • +
                                                            • Strong and relevant experience supporting and maintaining distributed systems;
                                                            • +
                                                            • Hands-on experience building and deploying virtualized environments in major cloud environments, such as Kubernetes, AWS and Azure;
                                                            • +
                                                            • Experience with building tools and applications to automate various infrastructure tasks (Jenkins, etc.);
                                                            • +
                                                            • Proficiency with programming languages such as Python, Bash, or JavaScript;
                                                            • +
                                                            • Experience implementing monitoring solutions to identify system bottlenecks and production issues;
                                                            • +
                                                            • Solid understanding of the UNIX operating system.
                                                            -
                                                            -
                                                            -

                                                            About the job

                                                            -

                                                            Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                            -

                                                            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                            -
                                                            -
                                                            -

                                                            Responsibilities

                                                            +

                                                            It would be great if you also have:

                                                              -
                                                            • Write and test product or system development code.
                                                              -
                                                            • -
                                                            • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                                              -
                                                            • -
                                                            • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                              -
                                                            • -
                                                            • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                                              -
                                                            • -
                                                            • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                              -
                                                            • +
                                                            • Knowledge of the machine learning application deployment process;
                                                            • +
                                                            • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
                                                            • +
                                                            • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
                                                            -
                                                            -
                                                            -

                                                            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                            -

                                                            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                            -

                                                            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                            -

                                                            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                            -

                                                            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                            -
                                                            -
                                                            ",,https://www.google.com/about/careers/applications/jobs/results/110055749463220934-senior-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-09-26T08:39:04.960Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/343277155-senior-software-developer-front-end-applied-ai-at-google,,expired,2024-09-23T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -3ed2042f-dafa-4e71-ad7a-370ea42fefa0,343277382,Accenture,AI & LLM Architect,on_site,"Toronto, ON, Canada",2024-09-23T08:44:02.036Z,"
                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            We are:

                                                            -

                                                            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                                            -

                                                            Stronger together!

                                                            -

                                                            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                                            -

                                                            The value for our clients and our people

                                                            -

                                                            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                                            -

                                                            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                                            -


                                                            The Work:

                                                            -

                                                            +

                                                            What's in it for you?

                                                              -
                                                            • As an AI and Large Language model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions.
                                                            • -
                                                            • Translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
                                                            • -
                                                            • Architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model\'s capabilities.
                                                            • -
                                                            • Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
                                                            • -
                                                            • Architect components of an LLM solution to address Responsible AI & Security
                                                            • -
                                                            • Design and prototype reusable components for LLM based solution patterns
                                                            • -
                                                            • Design LLM Ops solutions for large scale operationalization
                                                            • +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            +

                                                            ",,https://www.borealisai.com/en/careers/employment/5651256002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-09T14:09:34.820Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/110849835-devops-engineer-at-borealis-ai,,expired,2022-02-25T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +828787f0-5a0f-4718-9c6a-74368fadea59,119896689,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-04-11T21:02:11.158Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            -

                                                            show more show less
                                                            -
                                                            -
                                                            -

                                                            Qualifications

                                                            -
                                                            -
                                                            -

                                                            Here’s what you need:

                                                            +

                                                            Department Overview

                                                            +

                                                            The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                            +

                                                            As a Data Scientist, Cyber-Fraud, you will:

                                                              -
                                                            • 2+ years of experience designing end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. 
                                                            • -
                                                            • 2+ years’ experience leveraging, customizing and implementing Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
                                                            • -
                                                            • 2+ years’ experience interacting with stakeholders, understanding business requirements and coming up with a technical blueprint based on client needs
                                                            • -
                                                            • 2+ years’ experience creating and maintaining comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
                                                            • -
                                                            • 1+ year of experience analyzing and evaluating the performance of Gen AI systems and provide design recommendations.
                                                            • -
                                                            • Relevant exposure to cloud platforms (Azure/AWS/GCP)
                                                            • -
                                                            • 2+ years’ experience managing teams on an onsite/offshore model.
                                                            • -
                                                            • This role is based in our Local ATCs (Montreal) and will require on-site 2-3 days per week.
                                                            • -
                                                            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                                            • +
                                                            • +All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                                +
                                                              • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                              • +
                                                              • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                              -

                                                              -

                                                              -

                                                              #LI-NA #LI-MP

                                                              -
                                                            -
                                                            -
                                                            -

                                                            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                                            -
                                                            -

                                                            Our Commitment to Inclusion & Diversity

                                                            -

                                                            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                            -

                                                            Requesting An Accommodation

                                                            -

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            -

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                            -

                                                            Other Employment Statements

                                                            -

                                                            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                            -

                                                            Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                            -
                                                            -
                                                            -
                                                            Share
                                                            -
                                                            Share
                                                            -
                                                            Job Link:
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                                                            -
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                                                            -
                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228415_en&title=AI%20%26%20LLM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-09-26T08:49:04.062Z,False,0,13,25,https://talenthub.vectorinstitute.ai/jobs/343277382-ai-llm-architect-at-accenture,,expired,2024-09-23T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, -d0c1dec6-7dac-4f09-8a9a-06b87c46990e,342354421,Roche,Data Management & Governance Analyst/ Specialist,on_site,"Ontario, Canada",2024-09-16T12:47:02.602Z,"
                                                            -

                                                            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                            -

                                                            The Position

                                                            -

                                                            We advance science so that we all have more time with the people we love.

                                                            -

                                                            Are you excited about Data? Do you believe that data can make the organisation become more successful and efficient in achieving its goals? Do you want to take charge and drive new and exciting data related initiatives and adoption of new concepts such as Data Mesh? Then your place is with us!

                                                            -

                                                            We are the Data & Analytics Chapter, part of Integrated Informatics at Roche. We build excellence and mastery in next generation data and analytics capabilities, including but not limited to Data Science, Data Engineering, Analytics and Data Management & Governance. We release value from data - all the way from Discovery to Insights.

                                                            -

                                                            In addition to partnering with teams across the business to develop solutions, scale and automate data pipelines, Data & Analytics Chapter members are uniquely placed to connect the dots across initiatives, promote information sharing across domains and recommend re-use of data, analytics and solutions wherever possible.

                                                            -

                                                            We are looking for a Data Management & Governance specialist who will join us in the newly setup Integrated Informatics for a journey to drive and promote efficient and effective information management throughout the organisation.

                                                            -

                                                            The Data Management & Governance specialist must be the big-picture thinker who understands the value of data to the organisation and the importance of good information management practices including information lifecycle management, information modelling, master data management and business requirements gathering.

                                                            -

                                                            In this position you are responsible for improving business performance and cost optimization through the use of business glossaries, information models, repositories and flows to meet the requirements of the business strategies and business processes.

                                                            -

                                                            -The Opportunity:
                                                            -

                                                            -

                                                            You will work on various aspects of Data management and governance including but not limited to:

                                                            -
                                                              -
                                                            • Driving and taking the lead in identifying information value opportunities through strategic discussions with Senior Business and IT Leaders as needed and provides decision support

                                                            • -
                                                            • Acting as the Informatics representative to define Information and Data Strategies as part of an overall Business Strategy.

                                                            • -
                                                            • Identifying areas for improvement in terms of information flows and structure, automation, information representation and advising project teams in best practice and implementation

                                                            • -
                                                            • Improving the overall quality of the enterprise data assets through the effective application of best practice in information design

                                                            • -
                                                            • Backlog Management: Prioritise and maintain the product backlog, making continuous adjustments to reflect changing priorities and market dynamics.

                                                            • -
                                                            • Transform requirements into detailed user stories, acceptance criteria, and mockups that guide the development process.

                                                            • -
                                                            • Following up on the resolution of Incidents (e.g. maintaining the customer informed).

                                                            • + +
                                                            • +Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                                +
                                                              • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                              • +
                                                              • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                              • +
                                                              • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                              -

                                                              -Who you are:
                                                              -

                                                              -
                                                                -
                                                              • 5+ years of data strategy and data governance, preferably in a consulting environment with a min Bachelor’s Degree

                                                              • -
                                                              • Is principally focused on enterprise information solutions, such as master data management, metadata management, business intelligence, data interoperability, data analysis, data quality, data integration.

                                                              • -
                                                              • Understands Data Mesh paradigm

                                                              • -
                                                              • Exhibits an Agile mindset

                                                              • -
                                                              • Understands database structures and their relationships, as well as data models and data standards.

                                                              • -
                                                              • Ability to create advanced SQL queries as well as the ability to work with REST APIs through tools such as Postman.

                                                              • + +
                                                              • +Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                                  +
                                                                • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                                • +
                                                                • Conduct cyber investigations and digital forensics as required
                                                                -

                                                                Relocation Benefits are not avaible for this posting.

                                                                -

                                                                Who we are

                                                                -

                                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                -

                                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                                                -

                                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                -
                                                                -

                                                                Roche is an Equal Opportunity Employer.

                                                                -
                                                                -
                                                            ",,https://careers.roche.com/global/en/job/202406-114750/Data-Management-Governance-Analyst-Specialist,feed-importer@jobboard.io,,,,2024-09-26T09:03:04.665Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/342354421-data-management-governance-analyst-specialist-at-roche,,expired,2024-09-16T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, -e76913b2-029c-4fda-87fe-9b7bc7b17a7f,343307868,Magna International,Data Scientist Student,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-09-23T16:41:02.231Z,"
                                                            -
                                                            -

                                                            About the Role

                                                            -

                                                            As a Data Scientist Intern, you will play a key role in supporting our Industry 4.0 and Artificial Intelligence (AI) initiatives specifically focused on optimizing our manufacturing processes for exterior trim parts. You will collaborate with cross-functional teams to collect, analyze, and interpret large datasets to provide insights and solutions that enhance our manufacturing operations, including co-extrusion, assembly, and molding.

                                                            -
                                                            -
                                                            -

                                                            Your Responsibilities

                                                            -
                                                            1. Work with the Data Science, Artificial Intelligence and Information Technology teams to work on and accomplish goals set out by the facility.
                                                            2. Develop and implement data-driven models and algorithms that leverage machine learning and AI techniques to improve operational efficiency, quality, and productivity in co-extrusion, assembly, and molding.
                                                            3. Employ statistical analysis and predictive modeling techniques to identify trends, patterns, and areas for process improvement.
                                                            4. Clean, preprocess, and validate large datasets related to co-extrusion, assembly, and molding to ensure accuracy and reliability.
                                                            5. Conduct supervised experiments, A/B testing, and perform statistical analysis to measure the impact of proposed solutions on manufacturing operations.
                                                            6. -Communicate findings and results in a clear and concise manner to stakeholders, including management, engineers, and manufacturing teams. Collaborate with Data Scientists, Software Developers and Engineers to integrate data-driven solutions into production systems and optimize the manufacturing processes.
                                                            7. -
                                                            +
                                                          • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                          • + +
                                                              +
                                                            • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                            • +
                                                            • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                            • +
                                                            • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                            • +
                                                            +
                                                            • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                                            -
                                                            -

                                                            Who we are looking for

                                                            -
                                                            • Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
                                                            • Proficient in programming languages such as Python, R, or SQL, with a solid understanding of data structures and algorithms.
                                                            • Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
                                                            • Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
                                                            • Working with data tools and protocols such as Kepware, MQTT and Mosquito
                                                            • -
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +
                                                            • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                            +
                                                              +
                                                            • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                            • +
                                                            • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                            • +
                                                            • Information security certification/accreditation or analytics certifications an asset
                                                            • +
                                                            • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                            • +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-02T21:09:09.367Z,False,0,3,34,https://talenthub.vectorinstitute.ai/jobs/119896689-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +87966a48-95a8-4b4c-a985-db145f76ec75,122858477,Scotiabank,Senior Data Engineer - Tech Lead,on_site,Canada : Ontario : Toronto,2022-04-29T05:06:13.077Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 141456

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            Purpose:

                                                            +


                                                            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                            +


                                                            The role of the Senior Product Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will act as the tech lead for one of our most pivotal product offerings and lead a team of other engineers to deliver impact and value. This role is focused on creating transformative change in how our organization interacts with data and metadata.

                                                            +


                                                            The Universal Catalog product, powered by Collibra, is a central part of the Scotiabank Data Strategy and directly enables the creation of a connected data ecosystem driving the globalization of data. It serves as a key enablement vehicle for automation as well as providing the understanding and trust in our data as a product. This role will be instrumental in helping mature both the service integration and user experience with the Universal Catalog
                                                            We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                            +

                                                            +


                                                            Key Accountabilities:

                                                            +


                                                            • Lead a high-functioning Product Engineering Team!
                                                            • Design, manage, and maintain services and user experiences to enable enterprise-wide use of data and metadata
                                                            • Drive the vision of the product forward with the Product Ownership and Stakeholders
                                                            • Be an evangelist and drive adoption of Universal Catalog as a product
                                                            • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                                            • Participate in design discussions focused on scalability and design and implementation best practices.
                                                            • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                                            • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                            • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                            • Support and maintain a successful product

                                                            +

                                                            +


                                                            Functional Competencies:

                                                            +


                                                            • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                                            • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                                            • 3+ years of experience leading and managing software development teams
                                                            • Proven experience designing service and microservice based architectures
                                                            • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                                            • Clear understanding of UX design principles
                                                            • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                                            • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                                            • Functional experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                                            • Functional experience working with relational databases (DB2, MySQL, PostgreSQL).
                                                            • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                            • Experience with enterprise-grade Data Catalogs (Collibra, Alation, etc) would be an asset
                                                            • Knowledge and understanding of analytics & data science life cycle
                                                            • Experience in Agile/Product/Architecture.
                                                            • Experience in Cloud Data Solutions would be an asset
                                                            • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                                            • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                                            • Strong communication skills, both written and spoken
                                                            • Attention to details, high standards for quality.
                                                            • Desire to learn, grow yourself and your team.
                                                            • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                            • Writing and maintaining related documentation.
                                                            • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                            • Helps recruit + groom technology leaders and future leaders.
                                                            Accountabilities

                                                            +

                                                            +

                                                            Education/Experiences:

                                                            +


                                                            Bachelor (equivalent or higher) degree in computer science or engineering/mathematics discipline

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Engineer-Universal-Catalog-ON-M5C2V9/556287817/,feed-importer@jobboard.io,,,,2022-05-03T05:11:10.051Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122858477-senior-data-engineer-tech-lead-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Product-Engineer-Universal-Catalog-ON-M5C2V9/556287817/,expired,2022-04-29T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +75631033-a64f-4f3b-828b-ec9f39cf945d,120269991,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.664Z,"
                                                            -

                                                            Your preferred qualifications

                                                            +

                                                            Description

                                                            -

                                                            Accommodations for disabilities in relation to the job selection process are available upon request.

                                                            -

                                                            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            What we offer

                                                            -

                                                            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

                                                            -
                                                            -
                                                            -

                                                            Site Benefits

                                                            -
                                                            • Corporate Plans for Roger's Cellphone Data Plans

                                                            • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

                                                            • -
                                                            -
                                                            -
                                                            -

                                                            Awareness. Unity. Empowerment.

                                                            -

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            -
                                                            -
                                                            ",,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-09-26T16:46:07.035Z,False,0,29,129,https://talenthub.vectorinstitute.ai/jobs/343307868-data-scientist-student-at-magna-international,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/,expired,2024-09-23T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, -ab0d4479-9268-40a3-b4ba-f4d208cb037c,130798459,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Don Mills, Ontario",2022-06-10T18:19:10.064Z,"

                                                            Req Id: 377233

                                                            +


                                                            Ready to create innovative solutions and best practices?

                                                            -

                                                            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                                            +

                                                            Join our team

                                                            -

                                                            If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                            +

                                                            The AI Data & Analytics team consists of Analysts, Data Scientists, Data Engineers, Strategy Managers, and Program Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies.

                                                            +

                                                            +

                                                            We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

                                                            +

                                                            +

                                                            Our team enjoy a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

                                                            +

                                                            +

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            +

                                                            +

                                                            As an experienced professional in the field of data science, you will be part of the journey that brings us to a better understanding of our customers in order to predict their needs and interaction behaviour.

                                                            +

                                                            +

                                                            With a natural curiosity to experiment, and expert knowledge of AI & ML concepts, you’ll perform hypothesis validation and develop models through an iterative approach in order to predict customer demand.

                                                            +

                                                            +

                                                            You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

                                                            +

                                                            Here\'s how

                                                            -

                                                            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate. If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                            -

                                                            Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                            -

                                                            The Data Insights and Analytics team is seeking a dynamic, innovative and strategic analyst to play a key role in transforming the organization with a unique focus on loyalty and retention analytics. We’re looking for a candidate who is proactive and continuously seeking new opportunities to improve, with a keen focus on performance measurement. They need to be capable of interpreting results and data to generate insight, with the ability to think outside the box and drive new unique approaches. The ability to influence and deliver results with cross-functional business units is essential.

                                                            -

                                                            If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you! This is an agile development environment, working with the latest BI visualization tools and technologies.

                                                            -

                                                            Key responsibilities:

                                                            -
                                                              -
                                                            • Detailed analysis of key churn drivers in customer behavior, identifying loyalty process improvement opportunities and aiding in the creation of strategies / holistic programs to reduce churn
                                                            • -
                                                            • Working within a team of BI analysts to maintain and build automated and ad hoc reporting assets
                                                            • -
                                                            • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting various business functions
                                                            • -
                                                            • Excellent leadership and communication skills required to work cross functionally with business users, other analysis teams, development teams, and IT teams
                                                            • -
                                                            • Deliver on projects and data strategies that directly support key business drivers
                                                            • -
                                                            • Work with and present to various management levels
                                                            • -
                                                            • Maintain and expand your knowledge of BI and current technology through training opportunities
                                                            • -
                                                            -

                                                            Required Competencies:

                                                            -
                                                              -
                                                            • -You have a Bachelors or Masters degree, in a discipline such as:
                                                                -
                                                              • Business analytics / business intelligence
                                                              • -
                                                              • Applied math,
                                                              • -
                                                              • Computer science,
                                                              • -
                                                              • Applied science / engineering,
                                                              • -
                                                              • Economics/econometrics,
                                                              • -
                                                              • Commerce
                                                              • -
                                                              • Management science / operations research
                                                              • -
                                                              -
                                                            • -
                                                            • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                                            • -
                                                            • You are highly analytical and understand the basic principles of working with large and complex data sets
                                                            • -
                                                            • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                            • -
                                                            • You have the ability to work with a team towards common goals
                                                            • -
                                                            • You are able to manage multiple projects and priorities.
                                                            • -
                                                            • You are a self starter who is comfortable working with and presenting to all management levels
                                                            • -
                                                            -

                                                            -

                                                            Preferred Competencies:

                                                              -
                                                            • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                                            • -
                                                            • Experience with BI and data warehouse technologies
                                                            • -
                                                            • Basic working knowledge of project management steps
                                                            • -
                                                            • Experience in Telecommunications
                                                            • +
                                                            • Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                                            • +
                                                            • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices, and emerging tools/technology
                                                            • +
                                                            • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                                            • +
                                                            • Build and maintain a interlock with key stakeholders to understand business needs and priorities
                                                            • +
                                                            • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                            • +
                                                            • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities

                                                            -

                                                            #EmployeeReferralProgram

                                                            -

                                                            -

                                                            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            -

                                                            Additional Information:

                                                            -

                                                            Position Type: Management
                                                            Job Status:
                                                            Regular Term - Full Time
                                                            Job Location:
                                                            Canada : Ontario : Don Mills
                                                            Flexible work profile :
                                                            Mobile
                                                            Application Deadline: 06/17/2022

                                                            +

                                                            You\'re the missing piece of the puzzle

                                                            -

                                                            Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                            +
                                                              +
                                                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                            • +
                                                            • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                            • +
                                                            • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                            • +
                                                            • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                            • +
                                                            • Proficiency with SQL
                                                            • +
                                                            • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                            • +
                                                            • Well versed in software development lifecycle and ML Ops concepts
                                                            • +

                                                            -

                                                            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                            +

                                                            Great-to-haves

                                                            -

                                                            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                            +
                                                              +
                                                            • Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                            • +
                                                            • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                            • +
                                                            • Data environments experience: MS SQL, Oracle
                                                            • +
                                                            • Experience using Google Workspace
                                                            • +
                                                            • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                            • +

                                                            -

                                                            Created: Canada, ON, Don Mills

                                                            -

                                                            #Talent #Indeed #Tech

                                                            -

                                                            Bell, one of Canada's Top 100 Employers.

                                                            ",,https://jobs.bell.ca/ca/en/job/BECACA377233EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130798459-data-analyst-business-intelligence-at-bell-canada,BECACA377233EXTERNALENCA,expired,2022-06-10T18:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -e8c141a1-ff11-48dd-9075-c70317f86235,130552159,TD Bank Group,Senior Data Analyst,on_site,"Toronto, ON",2022-06-09T21:06:24.397Z,"
                                                            -

                                                            Company Overview

                                                            -
                                                            -

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            -

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            -

                                                            -

                                                            Department Overview

                                                            -
                                                            -

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                            -

                                                            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                            -

                                                            This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                            -

                                                            Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                            +
                                                            ",,https://careers.telus.com/job/Barrie-Data-Scientist-ON/557884517/,feed-importer@jobboard.io,,,,2022-05-02T07:40:12.969Z,False,0,8,54,https://talenthub.vectorinstitute.ai/jobs/120269991-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +9b28983f-bc53-4214-a4b0-905daef12a56,117447377,Thomson Reuters,"Lead Software Engineer, ML, Python",on_site,"Ontario, Canada",2022-03-31T13:31:07.034Z,"
                                                            +
                                                            +

                                                            Are you looking to be a part of a team that uses artificial intelligence (AI) to solve real-world customer problems? Thomson Reuters Labs in Toronto is seeking an experienced Lead Software Engineer with a passion for solving problems with code - using technologies like Java, Python, Cloud Computing, Machine Learning and Natural Language Processing (NLP).

                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                                                            -

                                                            As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                                                            -

                                                            Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                                                            -

                                                            As a Senior Business Intelligence & Reporting Analyst, you will:

                                                            -

                                                            -
                                                          • Produce specialized reporting packages, dashboards and scorecards for businesses
                                                          • -
                                                          • Lead the implementation of initiatives in support of overall business/function strategy
                                                          • -
                                                          • Conduct analysis to provide improved BI to inform management leadership team
                                                          • -
                                                          • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                          • -
                                                          • Validate the quality and integrity of the data included in all reporting
                                                          • -
                                                          • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                                                          • -
                                                          • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                                                          • -
                                                          • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                          • -
                                                          • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                          • -
                                                          • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                          • -
                                                          • Work independently as the senior analyst / expert and may provide technical support to others
                                                          • -
                                                          • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                                                          • -
                                                          • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                          • -

                                                            `

                                                            -
                                                            +

                                                            What does Thomson Reuters Labs do? We support the organization and our customers through applied research and development to solve their most difficult problems. We work collaboratively across our legal, tax, and news business segments to identify state-of-the-art opportunities and then realize those opportunities in production-ready components. While, Thomson Reuters is most famous for the Reuters News agency, we are one also one of the only very few companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                            -

                                                            Requirements

                                                            -
                                                            -

                                                            What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +

                                                            As an experienced Lead Software Engineer, you will be part of a diverse and interdisciplinary global team of experts in software development and AI research. For over twenty years, we have consistently delivered high growth product features that delight our customers and advance the state of the art.

                                                            +

                                                            +

                                                            About the Role

                                                            +

                                                            In this opportunity as a Lead Software Engineer, you will:

                                                              -
                                                            • Undergraduate degree or technical certificate
                                                            • -
                                                            • Five (5) or more years relevant experience
                                                            • +
                                                            • +Be a Leader: Lead a small team of developers to deliver AI features and algorithms.
                                                            • +
                                                            • +Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                            • +
                                                            • +Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                            • +
                                                            • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                            • +
                                                            • +Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                            • +
                                                            • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                            • +
                                                            • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                            -
                                                            -

                                                            -

                                                            Hours

                                                            -
                                                            37.5

                                                            -

                                                            Inclusiveness

                                                            -

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130552159-senior-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,expired,2022-06-09T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a0e0f49e-9d2a-47d2-ad30-776a35e7c330,125432569,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-05-14T21:46:11.779Z,"

                                                            What\'s the opportunity?

                                                            -
                                                            -

                                                            We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                            -

                                                            -

                                                            As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                            -

                                                            Your responsibilities include:

                                                            -
                                                              -
                                                            • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                            • -
                                                            • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                            • -
                                                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                            • -
                                                            • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                            • -
                                                            • Grow and develop the team, helping each team member advance in their career.
                                                            • -
                                                            -

                                                            You\'re our ideal candidate if you:

                                                            +

                                                            About You

                                                            +

                                                            You\'re a fit for the role of Lead Software Engineer if you:

                                                              -
                                                            • Have 7+ years of experience delivering software projects to production;
                                                            • -
                                                            • Have experience managing a team of engineers;
                                                            • -
                                                            • Have experience developing modular, robust, scalable software in a modern programming language;
                                                            • -
                                                            • Experience working with business, product and other technical teams;
                                                            • -
                                                            • Experience with scaling and performance of large systems;
                                                            • -
                                                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                            • -
                                                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                            • -
                                                            • Have background in machine learning or a related field;
                                                            • -
                                                            • Experience with Capital Markets or any financial domain is a big plus.
                                                            • +
                                                            • Have experience leading a technical team in the development of system or subsystems
                                                            • +
                                                            • Can “think in code” and have a deep understanding of the Python and/or Java software development stacks and ecosystems
                                                            • +
                                                            • Are familiar with cloud-native applications in AWS or Azure (or a similar cloud platform)
                                                            • +
                                                            • Are proficient in system analysis and design
                                                            • +
                                                            • Have experience working in an agile environment
                                                            • +
                                                            • Are curious, comfortable with rapid change and always learning new things
                                                            • +
                                                            • Have a desire to positively impact the world around them and someone who isn\'t afraid to dive right in, is comfortable working at a fast pace, embraces change, and can creatively pivot when needed
                                                            • +
                                                            • Have a desire to work with Machine Learning and NLP
                                                            • +
                                                            • BS degree or foreign equivalent in Computer Science or related field with 5+ years of professional software development experience
                                                            -
                                                            -

                                                            What\'s in it for you?

                                                            +

                                                            +

                                                            What\'s in it For You

                                                            +

                                                            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                              -
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • -
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            • +
                                                            • +Benefits: Hybrid work environment (in-office & home), contribution to health insurance and free use of in-house gym, employee stock purchase plan.
                                                            • +
                                                            • +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                            • +
                                                            • +Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                            • +
                                                            • +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                            • +
                                                            • +Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
                                                            -

                                                            About Borealis AI

                                                            -

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-06-15T14:27:33.595Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/125432569-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-05-14T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -35a5c767-e6da-4da6-91ae-73bd0ef57b2a,130372299,Cohere AI,Machine Learning Education Lead,on_site,Toronto /,2022-06-09T05:06:11.463Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            Cohere is dedicated to lowering the barriers to entry to machine learning research and supporting a community of independent research talent across the world. We are committed to collaborating widely and empowering independent researchers around the world.
                                                            -

                                                            -
                                                            As a Machine Learning Education Lead, you have an independent high impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work demonstrates consideration for the societal and ethical implications of machine learning. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.
                                                            -

                                                            -
                                                            -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            +

                                                            +

                                                            +

                                                            +

                                                            As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

                                                            +

                                                            By clicking on ""Apply"", the process for submitting an application will begin. If you have any questions prior to clicking ""Apply"", please contact the recruiter.

                                                            -
                                                            -

                                                            As a Machine Learning Education Lead, you will have:

                                                            -
                                                                -
                                                              • Ph.D. or equivalent research experience
                                                              • -
                                                              • Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
                                                              • -
                                                              • Strong machine learning and NLP fundamentals
                                                              • -
                                                            -
                                                            -
                                                            -

                                                            You may be a good fit if you:

                                                            -
                                                                -
                                                              • Enjoy collaborating widely
                                                              • -
                                                              • Have a track record of mentorship and are excited to democratize access to machine learning
                                                              • -
                                                            -
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,feed-importer@jobboard.io,,,,2022-06-17T05:12:09.463Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/130372299-machine-learning-education-lead-at-cohere-ai,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,expired,2022-06-09T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Team Lead,PhD,New Posting, -6eeb536f-410b-49ca-b219-8d950b9916ee,129843422,RBC,"Manager, Reporting, Automation & Analyst",on_site,"Toronto, ON, Canada",2022-06-06T12:53:04.501Z,"
                                                            -

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            -

                                                            Job Title

                                                            Manager, Reporting, Automation & Analyst

                                                            -

                                                            Job Description

                                                            -

                                                            What is the opportunity?

                                                            -

                                                            RBC is currently recruiting for the exciting role of Manager, Reporting & Analytics. In this role, you will work directly with product / client partners in Client Profile Segment Team, especially the Newcomer & Cultural Client teams, to fulfill the following critical roles:

                                                            -
                                                              -
                                                            • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
                                                            • -
                                                            • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
                                                            • -
                                                            +

                                                            Canada COVID-19 Vaccination Requirement

                                                            -

                                                            What will you do?

                                                            +

                                                            Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                            +

                                                            +

                                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                            +

                                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                            +

                                                            +

                                                            Accessibility

                                                            +

                                                            +

                                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                            +

                                                            +

                                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                            +

                                                            +

                                                            Protect yourself from fraudulent job postings click here to know more.

                                                            +

                                                            +

                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                            +
                                                            ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-05-04T15:15:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/117447377-lead-software-engineer-ml-python-at-thomson-reuters,,expired,2022-03-31T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +e9195456-ba43-49c1-a3e3-39bc30bc4102,117568786,Borealis AI,Machine Learning Researcher Fall Internship,temporary,"Toronto, ON, Canada",2022-03-31T22:47:16.365Z,"

                                                            About Borealis AI

                                                            +

                                                            Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its fourlabs in Canada.

                                                            +

                                                            +

                                                            Our internships are currently running virtually. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                            +

                                                            +

                                                            Internship opportunities are available in the following areas:
                                                            - Deep Learning
                                                            - Reinforcement Learning
                                                            - Graphs and Optimization
                                                            - Unsupervised and Semi-supervised Learning
                                                            - Bayesian Optimization
                                                            - Privacy and Fairness
                                                            - Interpretability and Explainability
                                                            - AutoML
                                                            - Time Series Forecasting
                                                            - Natural Language Processing
                                                            - Computer Vision

                                                            +

                                                            +

                                                            You’re our ideal candidate if you have:
                                                            - Ability to implement state-of-the-art machine learning techniques
                                                            - High motivation to solve challenging research problems
                                                            - Passion for data, algorithms, and statistics
                                                            - Experience working towards a PhD or already hold an MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                            - Previous publications at a top-tier AI conference
                                                            - Experience with writing modular, robust, scalable software in Python
                                                            - Familiarity with the Unix command line and bash scripting
                                                            - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                            - A deep understanding of machine learning algorithms and/or statistical modeling

                                                            +


                                                            +

                                                            Internship duration: 4 months (September - December 2022)

                                                            +

                                                            Application deadline: May 8, 2022

                                                            +

                                                            +

                                                            How to apply:
                                                            Complete the online application and submit your resume at: https://www.borealisai.com/en/...

                                                            +

                                                            +

                                                            For any questions and enquiries, please contact: mi.research@borealisai.com

                                                            +

                                                            Inclusion and Equal Opportunity Statement:
                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/internships/borealis-ai-internships/,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-04T15:22:00.000Z,False,0,15,180,https://talenthub.vectorinstitute.ai/jobs/117568786-machine-learning-researcher-fall-internship-at-borealis-ai,,expired,2022-03-31T22:47:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +4638525c-b65f-473f-aa83-0b4be68e931f,121511088,Bell Canada,"Analyst, Business Intelligence",on_site,"Ontario, Canada",2022-04-20T21:09:38.779Z,"

                                                            Req Id: 341351

                                                            +

                                                            +

                                                            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                            +

                                                            +

                                                            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                            +

                                                            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                            +

                                                            +

                                                            The Field Services Workforce Management is responsible for forecasting load and capacity for all provisioning and assurance markets in Ontario, Quebec and Atlantic. This includes residential and business markets for all technicians (Bell, Bell Technical Solutions and Contractor). The Business intelligence analyst tasks includes developing forecasting models for work load, analysis of capacity & workforce productivity to build strategic recommendations to manage operations. The successful candidate must have proven mathematical skills – including a strong statistical background, an open-minded approach to problem solving and a drive to achieve superior results.

                                                            +

                                                            +

                                                            Job Duties/Accountabilities:

                                                              -
                                                            • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
                                                            • -
                                                            • Influence the approach to answering business questions with deep RBC product insights.
                                                            • -
                                                            • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics.
                                                            • +
                                                            • Develop forecasting models to predict work load of residential markets
                                                            • +
                                                            • Understand key drivers for load variations & their impacts on time per job
                                                            • +
                                                            • Collaborate with other teams to improve calendar management by developing automated algorithms to better match force to load
                                                            • +
                                                            • Workforce management modeling : force-to-load analysis, supply/demand modeling, optimization of workforce resources
                                                            • +
                                                            • Develop recommendations and implement new processes, systems or tool to support business needs, as required
                                                            -
                                                            • Increase the standardization and efficiency of regular reporting.
                                                            +

                                                            +

                                                            Critical Qualifications/Competencies:
                                                            Technical Skills:

                                                              -
                                                            • Manage day-to-day workflow and negotiate realistic timelines.
                                                            • -
                                                            • Participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
                                                            • -
                                                            • Ensure compliance and privacy guidelines are strictly adhered to.
                                                            • +
                                                            • Forecasting methods (time-series, regressions), Mathematical modeling & statistical analysis
                                                            • +
                                                            • Database base knowledge & ability to extract/manipulate data
                                                            • +
                                                            • Advanced Excel (pivot tables, charts, conditional formatting, Analysis toolpak, etc.)
                                                            • +
                                                            • Power Point
                                                            • +
                                                            • Problem-solving
                                                            • +
                                                            • Excellent verbal and written communication

                                                            -

                                                            Must-have:

                                                            +

                                                            Management Skills:

                                                              -
                                                            • 3 years of hands on experience with large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query
                                                            • -
                                                            • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments.
                                                            • -
                                                            • Be effective and equally conversant in business and technical environments.
                                                            • -
                                                            • Strong, innate, business and data acumen.
                                                            • -
                                                            • Applied data validation mechanisms.
                                                            • -
                                                            • Ability to thrive when working under pressure
                                                            • -
                                                            • Undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
                                                            • +
                                                            • Strong leadership skills with risk-management
                                                            • +
                                                            • Strong sense of initiative and ability to prioritize
                                                            • +
                                                            • Ability to adapt and work in a fast paced environment with good tolerance to ambiguity
                                                            • +
                                                            • Able to Establish & maintain effective relationships with various operational teams, IT & fiancé to understand key drivers impacting the organization & implement solutions
                                                            • +
                                                            • Comfortable in working in virtual environments (i.e. conference calls, videoconference)
                                                            • +
                                                            • Understanding of business needs/input, customer focus
                                                            • +
                                                            • Autonomous and self-motivated
                                                            -

                                                            Nice-to-have:

                                                            +

                                                            +

                                                            Preferred Qualifications/Competencies:

                                                              -
                                                            • Knowledge of Teradata or DB2 is definite asset.
                                                            • -
                                                            • Demonstrated leadership in cross-functional environment.
                                                            • -
                                                            • Experience with developing reports using OLAP tools.
                                                            • -
                                                            • Experience with financial products and services and their corresponding data.
                                                            • +
                                                            • University graduate within relevant field
                                                            • +
                                                            • Knowledge of forecasting/scheduling models
                                                            • +
                                                            • Knowledge of forecasting software Eviews, Stata, SAS, Forecast Pro
                                                            • +
                                                            • Knowledge of operational research/mathematical programming software
                                                            • +
                                                            • Field Services or Call centre operations expertise
                                                            • +
                                                            • 2 years of experience within similar management functions
                                                            • +
                                                            • Change management skills

                                                            -

                                                            What’s in it for you?

                                                            +

                                                            #EmployeeReferralProgram #ProgrammeRecommandationEmployes

                                                            +

                                                            #Talent #Indeed #Tech #Technology #Forecasting #FieldService #CallCentre #Stata #SAS #ForecastingPro #ChangeManagement #WorkforceManagement #Management

                                                            -

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +

                                                            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                            -
                                                              -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                            • -
                                                            • Opportunity to learn and apply new businesses, techniques, and ideas.
                                                            • -
                                                            • Ability to make a difference and lasting impact
                                                            • -
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                                            • -
                                                            • Opportunities to take on progressively greater accountabilities.
                                                            • -
                                                            +

                                                            Additional Information:

                                                            +

                                                            Position Type: Management
                                                            Job Status: Regular - Full Time
                                                            Job Location: Canada : Quebec : Montreal || Canada : New Brunswick : Fredericton || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto || Canada : Quebec : Verdun

                                                            +

                                                            Flexible work profile: Mobile
                                                            Application Deadline: 05/02/2022

                                                            +

                                                            Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                            -

                                                            Job Summary

                                                            -

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Personal and Commercial Banking

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-06-01-07:00

                                                            Application Deadline:

                                                            2022-06-15-07:00
                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            -
                                                            -

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            -
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000014523/Manager-Reporting-Automation-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-16T12:58:03.710Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/129843422-manager-reporting-automation-analyst-at-rbc,,expired,2022-06-06T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -02c53b87-d910-4ac4-b987-d7942fe25682,126158877,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-19T07:35:11.185Z,"
                                                            -
                                                            -

                                                            Description

                                                            -
                                                            -


                                                            Join our team and what we\'ll accomplish together

                                                            -

                                                            -

                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                            -


                                                            We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                            -


                                                            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                            -

                                                            You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                            -


                                                            Here\'s how

                                                            -

                                                            -
                                                              -
                                                            • Lead the iterative development, validation, and deployment of AI/ML models
                                                            • -
                                                            • Collaborate on end-to-end automation efforts required to bring models to production
                                                            • -
                                                            • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                            • -
                                                            • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                            • -
                                                            • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                                            • -
                                                            • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                            • -
                                                            • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                            • -
                                                            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                            • -
                                                            -
                                                            -
                                                            -
                                                            -

                                                            Qualifications

                                                            -
                                                            -


                                                            What you bring

                                                            -

                                                            -
                                                              -
                                                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                            • -
                                                            • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                                            • -
                                                            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                            • -
                                                            • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                            • -
                                                            • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                            • -
                                                            • You possess advanced knowledge in SQL and distributed computing
                                                            • -
                                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                            • -
                                                            • You are well versed in software and AI development lifecycles, including ML Ops
                                                            • -
                                                            • You are agile and have a bias for action, removing roadblocks to get results fast
                                                            • -
                                                            -

                                                            -

                                                            Great-to-haves

                                                            -

                                                            -
                                                              -
                                                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                            • -
                                                            • Experience with agile methodology and work in a start-up environment
                                                            • -
                                                            • GCP or other cloud certifications
                                                            • -
                                                            • Experience with Bayesian / Belief Networks, and Causal Inference
                                                            • -
                                                            • Back end/API development experience
                                                            • -
                                                            -

                                                            #DSEjobs

                                                            -
                                                            -
                                                            -
                                                            ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-06-18T13:57:35.155Z,False,0,5,59,https://talenthub.vectorinstitute.ai/jobs/126158877-data-scientist-at-telus,,expired,2022-05-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -2b58cc72-41ea-4aa3-90ba-af1518b5b252,127615432,Deloitte,"Business Data Analyst - Consumer, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-05-27T02:43:01.552Z,"

                                                            -
                                                            -

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Ontario, Canada
                                                            All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                                            -

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            -

                                                            Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                            -
                                                            -
                                                            -

                                                            What will your typical day look like?

                                                            -
                                                            -

                                                            As a Customer Business Analyst in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to understand the latest business challenges and its enablement using technology platforms. You will play an active role to architect and design data & technology solutions using industry-leading platforms on client’s ecosystem. You are enthusiastic about large-scale data transformation programs, have strong problem-solving and analytical skills, are tech savvy and have a techno-functional experience with ability to engage the Business as well as IT teams with ease.

                                                            -

                                                            -

                                                            Specifically, in this role, you will:
                                                            • Lead, define, design and implement end-to-end customer data-oriented solutions to solve business challenges, use-cases and features to enrich customer experiences for clients
                                                            • Collaborate with enterprise architects, business architects, marketing analysts, ETL designer and developers to lead data integration requirements and solutions
                                                            • Conduct analysis and incorporate findings, feedback and insights from customer and business research
                                                            • Own solution design and delivery of significant subject areas covering the functional requirements, and co-relate to solution architecture
                                                            • Define and develop solution architectures, lead teams through program delivery journey and mentor junior colleagues

                                                            -

                                                            -
                                                            -
                                                            -
                                                            -

                                                            About the team

                                                            -
                                                            -

                                                            Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            -


                                                            As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures that are focused on customer domain, consumer industry – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Customer Data Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                            -

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Enough about us, let’s talk about you

                                                            -
                                                            -

                                                            You are someone who is:

                                                            -

                                                            • 2+ years of experience working in the consumer industry (Retail, CPG, FMCG, Supply Chain, and other customer related areas) on data and technology delivery programs; understanding of customer 360, loyalty, personalization, marketing related architecture and data flows
                                                            • 2+ years of experience in data lifecycle and ETL design; strong understanding of data management principles, data profiling, and SQL
                                                            • Experience liaising with both the business and technology teams with the ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with business stakeholders, working with Agile development methods on data-oriented projects
                                                            • Completed Bachelor’s Degree (or higher) in Marketing and consumer related areas such as Computer Science, Supply Chain and FMCG, Information Management, Big Data & Analytics, or related field is desired; customer 360 or digital marketing background is an asset; certifications or experience in customer data platforms, cloud data platforms, mar-tech, supply chain, retail, digital marketing technologies is an asset

                                                            -

                                                            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Why Deloitte?

                                                            -

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            -
                                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • -
                                                            -


                                                            The next step is yours

                                                            -

                                                            Sound like The One Firm. For You?

                                                            -

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            -

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            -

                                                            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-06-21T02:48:16.108Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/127615432-business-data-analyst-consumer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,expired,2022-05-27T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -df256ce6-3609-47cc-a99b-8702f83e2869,129835425,CIBC,"Consultant, Data Engineer",on_site,"Ontario, Canada",2022-06-06T10:45:02.449Z,"
                                                            -

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            +

                                                            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                            -

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            +

                                                            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                            -

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            Created: Canada, QC, Montreal

                                                            -

                                                            Job Description

                                                            +

                                                            Bell, one of Canada's Top 100 Employers.

                                                            ",,https://jobs.bell.ca/ca/en/job/BECACA341351EXTERNALENCA/Analyst%2C%20Business%20Intelligence,aitalent@vectorinstitute.ai,https://jobs.bell.ca/ca/en,,,2022-05-05T20:53:00.000Z,False,0,4,50,https://talenthub.vectorinstitute.ai/jobs/121511088-analyst-business-intelligence-at-bell-canada,,expired,2022-04-20T21:09:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +3ef26d0a-8ce8-42ff-b8fa-214fb74c3a55,122472589,TD Bank Group,Business Insights Analyst,on_site,"London, ON",2022-04-25T21:03:57.455Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            -

                                                            What You’ll Be Doing

                                                            -

                                                            Reporting to the Director, Digital Analytics and Integration you will be a key manager in the team responsible for creating, designing, communicating and maintaining the Data Structures and Models for all pertinent data sources and systems. You will lead efforts to collaborate with multiple cross-functional teams and data owners to identify key data sources and associated elements, design the interconnectivity and processing pipelines between data sources, manage the implementation of various data pipelines and serve as the owner for data ingestion architecture, design and implementation. You will serve as an SME for all pertinent data sources across the bank and will be responsible for bringing together numerous datasets, owned by teams across the bank, for all Digital initiatives. You will further leverage both on-prem and cloud-based platforms to ensure appropriate access and governance processes are implemented and data quality standards are adhered to and are integral part of all data ingestion and data processing pipelines.

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            +

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            +

                                                            -

                                                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            +

                                                            About this Role

                                                            +

                                                            With a burgeoning career in data and analytics, this role is a great fit if you’re ready to take your growing expertise, key insights, knowledge transfer skills and mentorship to the next level. Day-to day, you’ll collect data and information to be developed into analytical interpretation and key action items multi-functional business partners across the organization. You’ll produce your own set of insights and action items that will inform business decisions enterprise wide and help to tackle the increasingly complex business problems they face. And as you grow into the role, TD will inspire you to share your knowledge with your peers, empowering them to collaborate and bring TD into the future of banking.

                                                            +

                                                            +

                                                            As a Business Insights Analyst, you will:

                                                            +
                                                              +
                                                            • Apply understanding of respective business strategies to produce relevant data analysis to support business goals and objectives
                                                            • +
                                                            • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                            • +
                                                            • Produce insights and recommend business actions to support business strategy and/or tackle business problems
                                                            • +
                                                            • Work in partnership with various functions to provide day-to-day support and delivery of analytics
                                                            • +
                                                            • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                            • +
                                                            • Execute on data requests accurately and within a timely manner
                                                            • +
                                                            • Represent functional area as an analytics & insights professional and key resource
                                                            • +
                                                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                            • +
                                                            • Provides day-to-day support and delivery of analytics
                                                            • +
                                                            • Contribute to the identification of key performance indicators
                                                            • +
                                                            • Experienced professional role providing specialized guidance/assistance to function supported
                                                            • +
                                                            • Focus on short to medium-term non-routine specialized/less complex issues and/or raised matters of concern
                                                            • +
                                                            • Independently perform activities end to end
                                                            • +
                                                            +

                                                            -

                                                            How You’ll Succeed

                                                            +

                                                            Requirements

                                                            +
                                                            +What can you bring to TD?

                                                            +

                                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • -Data Science Expertise: Under the guidance of Director, conduct detailed analysis of data and provide data structures to solve business problem leveraging tools like Microsoft SQL, Python, SAS, Alteryx, Tableau. Conduct guided research, typically on the non-traditional resources to solve business problems.
                                                            • -
                                                            • -Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Director.
                                                            • -
                                                            • -Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                            • +
                                                            • Experience with Power BI, Tableau and SSRS, Excel
                                                            • +
                                                            • Experience with Archer and Audit
                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Three (3) or more years relevant experience
                                                            -

                                                            Who You Are

                                                            +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-05T20:53:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/122472589-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,expired,2022-04-25T21:03:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +22684b2f-1a40-4609-a441-889cb8ae3354,123650760,Deloitte,"Data Scientist, Omnia AI",on_site,"Toronto, ON, Canada",2022-05-02T16:54:37.171Z,"

                                                            Date: Apr 27, 2022

                                                            +

                                                            Location: Toronto, Ontario, Canada

                                                            +

                                                            Company: Deloitte

                                                            +

                                                            Job Type: Permanent
                                                            Primary Location: Toronto, Ontario, Canada
                                                            All Available Locations: Toronto; Ottawa; Vancouver

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Be encouraged to deepen your technical skills…whatever those may be.
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            +

                                                            +

                                                            Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you!

                                                            +

                                                            What will your typical day look like?

                                                            +

                                                            As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for performing statistical modelling, computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                            +

                                                            About the team

                                                            +

                                                            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +

                                                            Enough about us, let’s talk about you

                                                            +

                                                            You are someone with:
                                                            • Data analysis experience using (one or more): Python, Could ML (AWS, GCP, Azure), or similar tools
                                                            • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                            • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                            • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                            • Experience with social media analytics and/or natural language processing and/or optimization is an asset Knowledge using either AWS, Azure or GCP
                                                            • Strong experience with Machine Learning Project management experience is an asset
                                                            • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                            • Enthusiastic about solving complex problems with a variety of analytical tools
                                                            • Professional services, consulting, or advisory experience is an asset
                                                            • Strong oral and written communication skills
                                                            • Interest in continuing to develop analytical and business development skills
                                                            • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, or related field is required.
                                                            • Advanced degree (MA/MSc, equivalent or higher) is preferred.

                                                            +

                                                            Join Deloitte and bring back that loving feeling, and love the company you keep. This position may require frequent travel to serve clients across North America. Candidates must be able to enter the USA to work on client assignment.

                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL or Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS, etc. Must have experience coding with data modelling packages such as Pandas, etc.
                                                            • -
                                                            • -You’re a certified professional. You have current accreditation and good standing in M.S. from the quantitative analytics fields.
                                                            • -
                                                            • -You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                            • -
                                                            • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                            • -
                                                            -

                                                            What CIBC offers

                                                            -

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                            -
                                                              -
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                            • -
                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                            • -
                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            -

                                                            What you need to know

                                                            -
                                                              -
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • -
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            • +

                                                              Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                              +


                                                              Job Segment: Database, Scientific, Oracle, Consulting, Computer Science, Engineering, Technology

                                                              ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist%2C-Omnia-AI-ON/878470100/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-05T20:53:00.000Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/123650760-data-scientist-omnia-ai-at-deloitte,,expired,2022-05-02T16:54:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +7e437bf7-453a-4f72-a14a-b4fc10ad5d83,123137873,Air Canada,"Developer, Artificial Intelligence - 28245",on_site,"Location: TORONTO, ON, Canada",2022-05-01T05:06:06.144Z,"
                                                              • Handle software applications development, testing & implementation of projects
                                                              • Develop scalable, high performance, and robust cloud-based web and mobile solutions.
                                                              • Package and support deployment of DevOps agile releases.
                                                              • Develop, refine, and fine-tune applications.
                                                              • Analyzing and resolving technical and applications issues.
                                                              • Apply effective coding practices for error-free timely release
                                                              • Implement new features and optimize existing ones to drive maximum performance.
                                                              • Collaborate with cross-functional teams to solve development constraints and deployment issues
                                                              • Assist in the collection and analysis of requirements and user stories.
                                                              • Prepare reports and documentation on the status, operation, and maintenance of software.
                                                              • Work closely with, and incorporate feedback from other developers, scrum master and product managers.
                                                              • Support the testing and launching efforts of new cloud-based products.
                                                              -

                                                              -

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Job Location

                                                              Toronto-81 Bay, 18th Floor

                                                              Employment Type

                                                              Regular

                                                              -

                                                              Weekly Hours

                                                              37.5

                                                              Skills

                                                              -

                                                              Alteryx, Databricks Unified Data Analytics Platform, Microsoft Azure, Python, SAS BI, Structured Query Language (SQL), Tableau
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineer_2219448,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-20T10:51:04.058Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/129835425-consultant-data-engineer-at-cibc,,expired,2022-06-06T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f8242977-1248-467e-8ad6-bedc8891070e,129827239,Thales,Intern Software Engineer,on_site,"Ontario, Canada",2022-06-06T07:35:06.436Z,"
                                                            Location: Ottawa, Canada

                                                            -

                                                            Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            The Intern Software Engineer will be working to develop, test, automate, build and deploy STA solutions for authentication, identity and access management. The position will be working with R&D teams located in Ottawa, Austin and Noida and interact with Solution Architects, Product Management and UX teams to meet business objectives and quality of solution delivered for customers. The role will require also keeping in mind scalability, performance, operation and user experience, and overall architecture of the solution. It will also require active involvement in the various scrum team activities and overall SAFe planning and commitments, as well as participation in technical community of knowledge.

                                                            -

                                                            -

                                                            Key Responsibilities:

                                                            +
                                                            • Bachelor's Degree in Computer Science, Computer Engineering or equivalent.
                                                            • 4+ years of software development experience using C#, .NET, Java, and Azure DevOps in an Agile development environment.
                                                            • Substantial web and mobile application development experience
                                                            • Very comfortable developing in an Agile environment, using Git/Azure Devops
                                                            • Continuous Integration / Continuous Delivery/Deployment experience
                                                            • Real-world experience with mission-critical enterprise REST APIs (either as consumer or producer)
                                                            • Strong understanding of cross platform development using PAAS cloud systems.
                                                            • Experience with Web-related technologies including HTML/CSS, JavaScript, Angular, Node.js and React
                                                            • Database / Data Storage experience
                                                            • Comfortable analyzing network traffic using Fiddler/Postman/Wireshark etc.
                                                            • Ability to work effectively under pressure and in rapidly changing environments or uncertain conditions
                                                            • Demonstrates openness and willingness to adapt to new ways of doing things
                                                            • Takes responsibility for the results and actively participates in the future direction of the organization
                                                            • Demonstrates concern for satisfying external and/or internal customers.
                                                            • Focuses on the accomplishment of the team’s and unit’s work; sets challenging goals and meets or exceeds goals
                                                            • Ability and desire to work cooperatively with others on a team in person and/or remotely.
                                                            • Approaches a problem by using a logical, systematic, and sequential approach
                                                            • +
                                                            +
                                                            • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                                            • Mandatory Covid-19 Vaccination Required
                                                            • +
                                                            ",,https://careers.aircanada.com/jobs/8662377-developer-artificial-intelligence,feed-importer@jobboard.io,,,,2022-05-06T05:11:13.614Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/123137873-developer-artificial-intelligence-28245-at-air-canada,https://careers.aircanada.com/jobs/8662377-developer-artificial-intelligence,expired,2022-05-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +2066059a-835d-4c38-bc53-e019d59d0ffa,118565867,Borealis AI,Research Engineer,on_site,"Ontario, Canada",2022-04-04T21:45:24.392Z,"

                                                            Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                            +


                                                            We’re looking for an enthusiastic scientists or software developer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and development teams to help extend research prototypes into implemented products.

                                                            +


                                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                            +

                                                            +
                                                            Your responsibilities include:

                                                              -
                                                            • Learn about the STA solution and its development environment.

                                                            • -
                                                            • Contribute to the design, implementation and testing of features with scalability, performance, deployment / operation and end-user experience in mind.

                                                            • -
                                                            • Apply coding/implementation best practices to produce elegant, high quality and reusable code.

                                                            • -
                                                            • Implement and follow security best practices for web applications.

                                                            • -
                                                            • Collaborate with other validators and developers to share knowledge and improve overall product/solution.

                                                            • -
                                                            • Keep up-to-date with latest technologies evolution and frameworks.

                                                            • -
                                                            • Interact with UX team to verify implementation of user experience concepts.

                                                            • -
                                                            • Follow the agile methodology used for the project. This includes creation of user stories and corresponding tasks.

                                                            • -
                                                            • Regularly archive source code into Gitlab, the source code repository for projects. The corresponding documentation is created and maintained in Confluence. Jira will be used for story, task, and issue tracking.

                                                            • -
                                                            • Participate in issue investigation and deployment of applications and new releases in testing/integration environment as needed.

                                                            • -
                                                            • Interface with the geographically distributed teams in Austin, Ottawa, Noida on a regular basis.

                                                            • +
                                                            • Building machine learning-based software solutions;

                                                            • +
                                                            • Collaborating with researchers to prototype machine-learning solutions rapidly;

                                                            • +
                                                            • Conducting comparisons to existing algorithms and baselines;

                                                            • +
                                                            • Reviewing, extending, and optimizing prototype solutions;

                                                            • +
                                                            • Collaborating with the engineering team to integrate algorithms into products;

                                                            • +
                                                            • Developing reusable internal tools to facilitate research prototyping; and

                                                            • +
                                                            • Supporting projects with thorough documentation, design decisions, and capabilities.

                                                            -

                                                            -

                                                            Required Skills & Experience:

                                                            +

                                                            You’re our ideal candidate if you have:

                                                              -
                                                            • Student completing a Bachelor’s degree in computer science or other relevant field of study.

                                                            • -
                                                            • Previously completed college level course work in computer programming language such as .NET, JavaScript or java

                                                            • -
                                                            • Ability to effectively communicate technical design, specification or implementation details of college coursework or internship project.

                                                            • -
                                                            • Curiosity and desire to learn about complex cloud solution

                                                            • +
                                                            • A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent
                                                            • +
                                                            • 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;
                                                            • +
                                                            • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Julia;
                                                            • +
                                                            • Familiarity with the Unix command line and bash scripting;
                                                            • +
                                                            • Experience in the following areas: deep learning, time series, monte carlo simulations, PDEs, derivative pricing;
                                                            • +
                                                            • Experience with deep learning packages such as PyTorch, Keras, and Tensorflow;
                                                            • +
                                                            • Exposure to distributed computing using CPUs and GPUs;
                                                            • +
                                                            • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management; and
                                                            • +
                                                            • Strong communication skills and a collaborative attitude.
                                                            -

                                                            -

                                                            Preferred Qualifications:

                                                            +

                                                            What’s in it for you?

                                                              -
                                                            • Taken previous college level course work in cloud computing or database.

                                                            • -
                                                            • Familiarity with Agile/SAFe methodology

                                                            • -
                                                            • Proven ability to work independently on assigned tasks.

                                                            • -
                                                            • Familiarity with security and identity management (access management, authentication, identity providers)

                                                            • -
                                                            • Familiarity with tools such as JIRA and Confluence.

                                                            • +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            -

                                                            -

                                                            -

                                                            Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                            -
                                                            ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Intern-Software-Engineer_R0170207-1,feed-importer@jobboard.io,,,,2022-06-20T07:40:08.624Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/129827239-intern-software-engineer-at-thales,,expired,2022-06-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Manufacturing ,Internship/Co-op,,New Posting, -151fdd72-60c1-42af-bfb7-bf077c160cb5,129862591,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-06-06T21:06:23.409Z,"
                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                                            ",,https://www.borealisai.com/en/careers/employment/5870624002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-07T13:02:38.487Z,False,0,5,50,https://talenthub.vectorinstitute.ai/jobs/118565867-research-engineer-at-borealis-ai,,expired,2022-04-04T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +e5d19ba2-f5c4-49ab-b262-dd5ae4fbf26c,122841922,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-28T21:04:04.104Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -35278,121 +32609,429 @@ f8242977-1248-467e-8ad6-bedc8891070e,129827239,Thales,Intern Software Engineer,o

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/129862591-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-06-06T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -b2c2ffff-5eb8-4356-984b-621f808742b6,131511358,Scotiabank,Data Analyst,on_site,Canada : Ontario : Toronto,2022-06-14T05:07:06.600Z,"

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-09T21:10:54.566Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/122841922-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-28T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +0618eb8d-7d28-4a73-9105-b1c8036f0a54,123602231,RBC,Sr. Data Analyst,on_site,"Toronto, ON, Canada",2022-05-02T12:53:08.388Z,"
                                                            +

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            Sr. Data Analyst

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            +

                                                            As the Senior Data Analyst, you will be part of Global Procurement\'s (GP) Data Management & Business Intelligence (DM & BI) team, supporting data and insight needs. You will help manage delivering data from source to Global Procurement teams to help make data driven decisions; creating and updating reports to support the ever growing need within GP and assist the senior team members within DM & BI with various data mining related projects. You will be establishing and fostering strong, collaborative relationships with GP teams and continuously look for new opportunities to automate processes. You will be considered the COE of procurement data and the applications used to help drive data insight.

                                                            +

                                                            +

                                                            What will you do?

                                                            +

                                                            Reporting & Data Analytics

                                                            +
                                                              +
                                                            • Knowledge of Procurement and Organizational data to provides business with expert knowledge of data available to improve usefulness of reporting

                                                            • +
                                                            • Interact with Global Procurement teams to understand their operational reporting, dashboard and analytics needs

                                                            • +
                                                            +

                                                            +

                                                            Business Analysis & Documentation

                                                            +
                                                              +
                                                            • Meet with business partners to understand business requirements

                                                            • +
                                                            • Coordinates detailed business requirements phases identifying, tracking and resolving business systems issues

                                                            • +
                                                            • Develop plans and accurate estimates for completion of requirements, continuously improving the level of detail and accuracy of estimates

                                                            • +
                                                            • Manage risks, assumptions and constraints for requirements, and communicate to appropriate parties

                                                            • +
                                                            • Thoroughly document business requirements and translate to technical requirements

                                                            • +
                                                            +

                                                            +

                                                            Communication & Collaboration

                                                            +
                                                              +
                                                            • Develop and maintain strong relationships with internal and external team members and business partners

                                                            • +
                                                            • Be a team player by proactively sharing best practices with other team members

                                                            • +
                                                            +

                                                            +

                                                            Self-Development & Coaching (if applicable)

                                                            +
                                                              +
                                                            • Proactively plan self-development activities and follow through

                                                            • +
                                                            • Look for opportunities to broaden own experiences/skill set and develop capabilities and knowledge

                                                            • +
                                                            +

                                                            +

                                                            What will you need to succeed?

                                                            +

                                                            Must have:

                                                            +
                                                              +
                                                            • Degree in Computer Science, Mathematics/Statistics, or related field; or equivalent experience

                                                            • +
                                                            • 1-2 years of experience in a data related role

                                                            • +
                                                            • Analytical programming languages (SAS, Python or R)

                                                            • +
                                                            • Experience in developing reports (e.g. Excel, Tableau, Power BI)

                                                            • +
                                                            • Strong critical thinking and problem solving skills

                                                            • +
                                                            • Attention to detail, organization and time management is critical.

                                                            • +
                                                            • Experience in a data analytical role.

                                                            • +
                                                            • Ability to effectively communicate data through effective visual storytelling.

                                                            • +
                                                            • Experience in presenting to senior management.

                                                            • +
                                                            +

                                                            +

                                                            Nice to have:

                                                            +
                                                              +
                                                            • Knowledge in relational database management systems (SQL Server, MS Access, Teradata)

                                                            • +
                                                            • Knowledge of Procurement processes

                                                            • +
                                                            • Ability to be effective and equally conversant in business and technical environments.

                                                            • +
                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +
                                                              +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                            • +
                                                            • Opportunities to do challenging work and to be immersed in new technologies being leveraged by the bank.
                                                            • +
                                                            +

                                                            +

                                                            +

                                                            Job Summary

                                                            +

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Strategy and Administration

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-04-28-07:00

                                                            Application Deadline:

                                                            2022-05-09-07:00
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000009284/Sr-Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-09T22:06:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/123602231-sr-data-analyst-at-rbc,,expired,2022-05-02T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +598f38b0-703e-4fad-bf51-fa99ba9fe288,124172048,TD Bank Group,Business Insights Analyst,on_site,"London, ON",2022-05-05T21:04:01.918Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +
                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            +

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            +
                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            +

                                                            About this Role

                                                            +

                                                            With a burgeoning career in data and analytics, this role is a great fit if you’re ready to take your growing expertise, key insights, knowledge transfer skills and mentorship to the next level. Day-to day, you’ll collect data and information to be developed into analytical interpretation and key action items multi-functional business partners across the organization. You’ll produce your own set of insights and action items that will inform business decisions enterprise wide and help to tackle the increasingly complex business problems they face. And as you grow into the role, TD will inspire you to share your knowledge with your peers, empowering them to collaborate and bring TD into the future of banking.

                                                            +

                                                            +

                                                            As a Business Insights Analyst, you will:

                                                            +
                                                              +
                                                            • Apply understanding of respective business strategies to produce relevant data analysis to support business goals and objectives
                                                            • +
                                                            • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                            • +
                                                            • Produce insights and recommend business actions to support business strategy and/or tackle business problems
                                                            • +
                                                            • Work in partnership with various functions to provide day-to-day support and delivery of analytics
                                                            • +
                                                            • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                            • +
                                                            • Execute on data requests accurately and within a timely manner
                                                            • +
                                                            • Represent functional area as an analytics & insights professional and key resource
                                                            • +
                                                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                            • +
                                                            • Provides day-to-day support and delivery of analytics
                                                            • +
                                                            • Contribute to the identification of key performance indicators
                                                            • +
                                                            • Experienced professional role providing specialized guidance/assistance to function supported
                                                            • +
                                                            • Focus on short to medium-term non-routine specialized/less complex issues and/or raised matters of concern
                                                            • +
                                                            • Independently perform activities end to end
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +What can you bring to TD?

                                                            +

                                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +
                                                              +
                                                            • Experience with Power BI, Tableau and SSRS, Excel
                                                            • +
                                                            • Experience with Archer and Audit
                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Three (3) or more years relevant experience
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-09T22:06:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/124172048-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14939532/business-insights-analyst-london-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +96f9be0a-2c55-4cf2-84ca-60cf7fd7bce2,119136833,Borealis AI,Senior Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-04-07T21:45:05.911Z,"
                                                            Available Locations
                                                            Montreal

                                                            What\'s the opportunity?

                                                            +

                                                            We’re looking for a Senior Engineering Manager to lead our Montreal engineering team, working at the forefront of machine learning technology and working on extremely challenging problems.

                                                            +

                                                            +

                                                            As a Senior Machine Learning Engineering Lead, you will manage a team of managers and engineers involved in multiple ML projects. You will support those projects through the entire lifecycle—from research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work along other senior managers in engineering and across Borealis AI to help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

                                                            +

                                                            Your responsibilities include:

                                                            +
                                                              +
                                                            • Provide strategic direction, leadership and management to a team of managers and engineers involved in multiple ML projects
                                                            • +
                                                            • Provide functional management to multiple ML projects
                                                            • +
                                                            • Establish high standards and share technical knowledge in performance, scalability, system architecture, and engineering best practices;
                                                            • +
                                                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                            • +
                                                            • Grow and develop the team, helping each team member advance their career development.
                                                            • +
                                                            • Work with Borealis senior leadership to achieve the Borealis mission and strategy
                                                            • +
                                                            • Drive cross-team cohesion and help to build the culture of the Montreal office
                                                            • +
                                                            +

                                                            You\'re our ideal candidate if you:

                                                            +
                                                              +
                                                            • Have 12+ years of experience delivering software projects to production;
                                                            • +
                                                            • Have 7+ years experience managing engineering teams;
                                                            • +
                                                            • Experience working collaboratively with business, product and other technical teams;
                                                            • +
                                                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                            • +
                                                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                            • +
                                                            • Experience working in an agile environment, including managing team members across multiple different projects and/or products
                                                            • +
                                                            • Experience managing hybrid teams; promote an excellent employee experience regardless of where employees are
                                                            • +
                                                            • Have a background in machine learning or a related field;
                                                            • +
                                                            • Experience with financial services and enterprise software.
                                                            • +
                                                            +

                                                            What\'s in it for you?

                                                            +
                                                              +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            • +
                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            +

                                                            ",,https://www.borealisai.com/en/careers/employment/6039893002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-11T14:57:10.645Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/119136833-senior-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-04-07T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +a3f0f368-7334-47fe-a53d-13daca698bc7,119136832,Borealis AI,Research Engineer - Engineering,on_site,"Ontario, Canada",2022-04-07T21:45:05.857Z,"
                                                            Available Locations
                                                            Toronto

                                                            What’s the opportunity?

                                                            +

                                                            Borealis AI is a team of researchers and engineers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our engineering team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

                                                            -

                                                            Requisition ID: 154505

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            We’re looking for an enthusiastic scientist or software engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems related to capital markets. As a Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. You will function as a bridge between research and engineering teams to help extend research prototypes into implemented products.

                                                            +

                                                            +

                                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                            +

                                                            Your responsibilities include:

                                                            +
                                                              +
                                                            • Building ML based software solutions;
                                                            • +
                                                            • Collaborating with engineers to integrate algorithms into products;
                                                            • +
                                                            • Collaborating with researchers to prototype ML solutions rapidly;
                                                            • +
                                                            • Developing reusable internal tools to facilitate research prototyping; and
                                                            • +
                                                            • Supporting projects with thorough documentation, design decisions, and capabilities.
                                                            • +
                                                            +

                                                            You’re our ideal candidate if you have:

                                                            +
                                                              +
                                                            • A deep understanding of ML concepts
                                                            • +
                                                            • Passion for professional software engineering practices and the full product development life cycle
                                                            • +
                                                            • Strong communication skills and a collaborative attitude
                                                            • +
                                                            • 2+ years of applied ML experience in a high-responsibility, minimal-supervision environment;
                                                            • +
                                                            • Experience with writing modular, robust, scalable software in one of the major languages such as Python 3.x, C++, or Julia;
                                                            • +
                                                            • Familiarity with the Unix command line and bash scripting;
                                                            • +
                                                            • Experience in any of the following areas is a plus: probabilistic graphical models, latent variable models, probabilistic programming, capital markets
                                                            • +
                                                            +

                                                            What\'s in it for you?

                                                            +
                                                              +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale
                                                            • +
                                                            +

                                                            How to apply:

                                                            +

                                                            Please email your resume to mi.research@rbc.com and include where you heard about this opportunity.

                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            +

                                                            ",,https://www.borealisai.com/en/careers/employment/6039864002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-11T14:56:44.912Z,False,0,6,33,https://talenthub.vectorinstitute.ai/jobs/119136832-research-engineer-engineering-at-borealis-ai,,expired,2022-04-07T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e5eb0cc3-a389-4982-baa7-286af20e7491,119767949,Thomson Reuters,"Senior Director, AI Platform",on_site,"Ontario, Canada",2022-04-10T13:31:09.107Z,"
                                                            +
                                                            +

                                                            Join us as we work to transform Thomson Reuters into a truly data-driven company.

                                                            The strategic ambition of the newly created Data & Analytics (D&A) function is to build, embed and mature a data-driven culture across the entire company resulting in a world-class Data & Analytics company.

                                                            The AI/ML & BI Platforms Team has been established to create, operate, and run enterprise AI/ML & BI Platforms that will facilitate the time to market for analytics and data science teams to run experiments, train models and generate insights. Core to the team’s principles will be the implementation of data and model governance standards and operationalization of the model release process.

                                                            This role is in one of our strategic locations in Canada, United States, Switzerland

                                                            The AI Platform Senior Director will be responsible for creating and running the enterprise AI platform that supports end to end AI/ML development across Thomson Reuters business operations. The AI Platform Senior Director is expected to be an expert in the use of AI/ML development and proficient in enhancing and streamlining ML workflows and managing a core team of software and platform engineers delivering feature enhancements and operating support.

                                                            +

                                                            +

                                                            About the Role

                                                            +
                                                            +

                                                            +

                                                            In this opportunity you will: 

                                                            +
                                                              +
                                                            • Build and manage a core team of software and platform engineers

                                                            • +
                                                            • Build and evolve the AI Platform

                                                            • +
                                                            • Work closely with internal teams to assess AI tooling needs and rationalize the existing estate

                                                            • +
                                                            • Be an expert on architecting and developing machine learning solutions.

                                                            • +
                                                            • Work closely with platform development teams to integrate ML tools/solutions to a high-performance production solution model.

                                                            • +
                                                            +
                                                            +
                                                              +
                                                            • Be responsible for enhancing and streamlining AI/ML workflows, processes, along with implementing them strategically.

                                                            • +
                                                            • Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings including assessing third party offerings and making buy vs. build decisions.

                                                            • +
                                                            • Have a customer-centric mindset where the immediate customers are AI/ML practitioners as well as consumers, but ultimately serving the interests of TR’s customers.

                                                            • +
                                                            +

                                                            +

                                                            +
                                                            +
                                                            +

                                                            About You

                                                            +

                                                            +

                                                            You are fit for the role of AI Platform Senior Director if you meet all or most of these criteria:

                                                            +

                                                            +
                                                            • Bachelor’s degree required in software engineering or similar

                                                            +
                                                            +
                                                              +
                                                            • 8+ years of experience in Digital, Data, Analysis and/or Technology

                                                            • +
                                                            • Experience managing teams

                                                            • +
                                                            • Experience in transformation projects especially within the data and analytics space

                                                            • +
                                                            • Knowledge of building ML models and end to end AI workflows

                                                            • +
                                                            • AWS (or Azure / Google cloud platfrom) proficiency

                                                            • +
                                                            +
                                                              +
                                                            • A solid understanding of the software development lifecycle

                                                            • +
                                                            • CICD / DevOps / Agile experience

                                                            • +
                                                            • Thorough understanding of data and systems infrastructures 

                                                            • +
                                                            • Ability to translate and understand jargon and requirements of both engineering and scientific domains

                                                            • +
                                                            +

                                                            +

                                                            Canada COVID-19 Vaccination Requirement

                                                            +

                                                            +

                                                            Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                            +

                                                            +

                                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                            +

                                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                            +

                                                            +

                                                            Accessibility

                                                            +

                                                            +

                                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                            +

                                                            +

                                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                            +

                                                            +

                                                            Protect yourself from fraudulent job postings click here to know more.

                                                            +

                                                            +

                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                            +
                                                            ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-05-11T15:06:00.000Z,False,0,0,19,https://talenthub.vectorinstitute.ai/jobs/119767949-senior-director-ai-platform-at-thomson-reuters,,expired,2022-04-10T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Director,Bachelors Degree,New Posting, +aa3f623a-387f-4b6a-b52e-f1f931755440,119733929,TELUS,Data Engineer,on_site,"Ontario, Canada",2022-04-10T07:33:08.120Z,"
                                                            +
                                                            +

                                                            Description

                                                            +

                                                            +

                                                            Join our team

                                                            +



                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                            +

                                                            We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                            -

                                                            Purpose

                                                            -


                                                            The Data Analyst, Retail Sales Practices Insights, is responsible for providing analysis that will help the Bank to balance business growth and a continued focus on the customer. The incumbent will support efforts to identify, analyze & test for sales practices vulnerabilities and opportunities using data, and create action plans to resolve. This involves working with large datasets and distributed computing tools to create structures and analysis environments.

                                                            +

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            -

                                                            Key Accountabilities

                                                            +

                                                            The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                                            -

                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            +

                                                            Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                            -

                                                            • Analyze employee & customer data and information to identify insights that support the Retail Sales Practices mandate by:

                                                            -

                                                            o Acting as the subject matter expert for retail sales practices analytics, analyzing employee sales results, customer transaction and channel activity data to drive insights related to employee behavior and customer experience in channels using advanced statistical and analytical techniques
                                                            o Support the presentation of ideas and findings with actionable recommendations to all levels in an easily consumable manner
                                                            o Transforming and cleaning large data sets, including structured and unstructured data
                                                            o Performing data mining & modelling

                                                            +

                                                            Here’s how

                                                            -

                                                            • Develop and maintain testing criteria and methodologies to ensure that the right level of monitoring is taking place for Retail Distribution supporting positive customer outcomes.

                                                            -

                                                            o Adhere to appropriate and consistent testing protocols, methodologies and standards for detection of improper sales conduct.
                                                            o Assist in establishing acceptable thresholds for each reported data stream to delineate outlier behaviours

                                                            +
                                                              +
                                                            • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                                            • +
                                                            • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                                            • +
                                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                                            • +
                                                            • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                                            • +
                                                            • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                                            • +
                                                            • Support the data pipelines feeding into our machine learning algorithms and models
                                                            • +
                                                            • Assist the extracting, loading, transforming, cleaning, and validating of data
                                                            • +

                                                            -

                                                            • Develop and maintain consistent sales practices oversight and monitoring by:

                                                            -

                                                            o Support direction setting for analysis and associated data visualization
                                                            o Assisting in the improvement of operational activities by identifying and implementing process improvements, identifying methods to monitor and maintain oversight and potential enhancements

                                                            -

                                                            • Coordinate the dissemination of outputs, insights & results by:

                                                            -

                                                            o Enabling self-service reporting and analysis by end users
                                                            o Creating communication frameworks
                                                            o Creating executive dashboards
                                                            o Establishing and following through on feedback for sales practices outlier reporting coordinated through the Regional and District teams.
                                                            o Using feedback outcomes to refine analysis, insights and understanding of the data

                                                            -

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            -

                                                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                            +

                                                            You\'re the missing piece of the puzzle

                                                            -

                                                            • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

                                                            +
                                                              +
                                                            • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                            • +
                                                            • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
                                                            • +
                                                            • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                                            • +
                                                            • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                            • +
                                                            • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                            • +
                                                            • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                                            • +
                                                            • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
                                                            • +
                                                            +

                                                            +

                                                            Nice-to-haves

                                                            +

                                                            +
                                                              +
                                                            • GCP Professional Data Engineering certification
                                                            • +
                                                            • Google Cloud Dataflow and Google BigQuery experience
                                                            • +
                                                            • DevOps practices and tools experience
                                                            • +
                                                            • Orchestration and job scheduling platforms experience
                                                            • +
                                                            +

                                                            +

                                                            +
                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2022-05-11T15:04:38.586Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/119733929-data-engineer-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +75409d95-273e-4082-9226-446244b97499,127686635,RBC,"Manager, Business Intelligence & Information Management",on_site,"Toronto, ON, Canada",2022-05-27T12:53:08.597Z,"
                                                            +

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            Manager, Business Intelligence & Information Management

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            RBC Regional Banking Support’s BFS Reporting is hiring a Manager, Business Intelligence & Information Management role that will support strategic reporting and visual insights for Regional Banking’s BFS by successfully transforming data into useful, relevant information, and by leveraging sound business knowledge, additional sources of information, and resources to deliver insight to the BFS field. The position plays a role in driving strategic, timely, and accurate insights to business partners and senior leaders in a BFS banking environment, alongside key technology partners.

                                                            +

                                                            +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk.

                                                            • +
                                                            • Design and develop/enhance innovative reporting solutions to monitor performance management, present key analytical and business insights to underlying drivers in support of the BFS advisors and leaders on client and coaching insights to drive an exceptional client experience.

                                                            • +
                                                            • Take end to end responsibility in the development and enhancement of performance metrics and reporting in Tableau.

                                                            • +
                                                            • Respond to ad-hoc investigations, inquiries, data, and report requests as assigned.

                                                            • +
                                                            • Run production jobs as assigned.

                                                            • +
                                                            • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration and optimization, providing recommendations on approach and execution.

                                                            • +
                                                            • Apply standard design principles and data visualization techniques to measure key indicators, disclose trends, provide proactive actionable insights/indicators and address business questions.

                                                            • +
                                                            • Identify appropriate data sources and perform Extract/Transform/Load (ETL) for data modelling, data quality assessments, understand patterns and provide the basis to inform the reporting solution which provides meaningful performance management insights.

                                                            • +
                                                            • Participate in conversations with internal partners to understand their business strategies (role design, incentive, practice management and portfolio quality) and objectives in order to define/recommend reporting solutions to meet those objectives, effectively communicate project status and develop relationships to ensure satisfaction.

                                                            • +
                                                            • Participate in design and solution review demonstrations with the Senior Manager and/or internal partners at critical tollgates to ensure adherence to requirements, resolve obstacles, while mitigating deployment risk and the need for post-deployment modifications.

                                                            • +
                                                            • Test and validate (QA) new and existing reports and analytics for adherence to business and technical requirements.

                                                            • +
                                                            • Enhance and optimize existing production processes.

                                                            • +
                                                            • Create and maintain accurate documentation related to reporting solutions, including specifications, data lineage, technical and business definitions for metrics, and test plan/test cases.

                                                            • +
                                                            • Be a thought partner within the BFS Reporting team, supporting the developments of insights, processes, data approaches/ methodologies and information that is valued by partners across Regional Banking and BFS.

                                                            • +
                                                            • Learn on a consistent basis, be adaptable to change due to re-prioritizing of items.

                                                            • +
                                                            +

                                                            +

                                                            What do you need to succeed?
                                                            Must-have

                                                            +
                                                              +
                                                            • Degree in Computer Science, Mathematics/Statistics, Engineering, related field or equivalent related experience.

                                                            • +
                                                            • Demonstrated ETL and big data modeling capabilities, with programming experience in large databases/datasets and using SAS, SQL Server and Teradata SQL Assistant.

                                                            • +
                                                            • Experience in statistical methods, strong data profiling, cleaning, and mining.

                                                            • +
                                                            • Proficient in SQL extracts in order to investigate data from data warehouse and other sources (flat files) for investigation/analysis purposes.

                                                            • +
                                                            • Ability to perform complex data analysis on large volumes of data and present findings to senior leaders in order to inform of strategic decisions.

                                                            • +
                                                            • Proven quantitative analytical (including data knowledge, data discovery, data aggregation and summarization) and problem solving skills.

                                                            • +
                                                            • UNIX knowledge (i.e. submit process, create logs, store data).

                                                            • +
                                                            • Advanced in developing reports using Tableau.

                                                            • +
                                                            • Data knowledge on RBC’s EDW.

                                                            • +
                                                            • Be skilled in Microsoft applications (Excel, PowerPoint).

                                                            • +
                                                            • Expert technical documentation skills and the ability to effectively communicate, verbally and in writing, technical concepts to a non-technical audience.

                                                            • +
                                                            +

                                                            +

                                                            Nice-to-have

                                                            +
                                                              +
                                                            • Financial Services Industry/Business Financial Services knowledge

                                                            • +
                                                            • Experience in developing performance metrics/reports

                                                            • +
                                                            • Programming/coding skills in Python and Hadoop (HIVE) and Datameer

                                                            • +
                                                            • Experience with Tableau Security, Tableau Server Administration

                                                            • +
                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +
                                                              +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • +
                                                            • Ability to make a difference and lasting impact

                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • +
                                                            • Opportunities to do challenging work and take on progressively greater accountabilities

                                                            • +
                                                            +

                                                            +

                                                            +

                                                            +

                                                            Job Summary

                                                            +

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Personal and Commercial Banking

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-05-16-07:00

                                                            Application Deadline:

                                                            2022-05-28-07:00
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000011846/Manager-Business-Intelligence-Information-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-30T18:15:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/127686635-manager-business-intelligence-information-management-at-rbc,,expired,2022-05-27T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +ce87c912-7f1a-4423-9b6f-f14727388f97,127070270,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-05-24T05:06:04.038Z,"

                                                            -

                                                            Education and Other Requirements

                                                            -

                                                            • University degree in mathematics, computer science, finance, engineering, or related discipline
                                                            • Excellent analytical skills and experience analyzing and reporting on data
                                                            • Heavy analytics for multiple stake holders reaching up to EVP level
                                                            • Reporting design, creation, and delivery
                                                            • Excellent analytical skills and proven experience analyzing and reporting on data
                                                            • SAS (and/or SQL experience)
                                                            • Strong Excel skills
                                                            • Experience with data visualization tools like Power BI or Tableau would be an asset
                                                            • Understanding of Canadian retail banking
                                                            • Flexible, motivated, and results oriented
                                                            • Ability to work in cross-functional teams and build networks and relationships

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,feed-importer@jobboard.io,,,,2022-06-20T15:30:00.000Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/131511358-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -ecc250f3-8938-47bf-bc42-6e9f0059c94b,127070279,Scotiabank,Senior Data Analyst,on_site,Canada : Ontario : Toronto,2022-05-24T05:06:05.840Z,"

                                                            +

                                                            Requisition ID: 149881

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            As a data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to building better ways to approach all banking systems data for AML/ATF by using your engineering, analytical and communication skills to work with different business partners across whole Scotiabank. We are also building web application for AML investigators to present bank wide data more efficiently. This role will be responsible for some development work (Python), data mapping and data design for the backend.

                                                            +

                                                            Key Accountabilities:

                                                            -

                                                            Requisition ID: 151215

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +
                                                            • Deep Dive into banking source data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and predictive data analysis.
                                                            • Design high efficiency backend datamart to support frontend application within a team
                                                            • Develop frontend web application in python framework
                                                            • Write reusable, testable, and efficient code using Python programming language
                                                            • Work with Technology partners, bank private cloud team to solve infrastructure issues
                                                            • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                            • +Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                            • +
                                                            +

                                                            Experience / Education:

                                                            -

                                                            The Team
                                                            Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                                            -

                                                            -

                                                            The Role
                                                            As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                            -


                                                            Some of the key accountabilities include:

                                                            -

                                                            • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                                            • Analyze data in both Financial Systems and Big Data environments
                                                            • Support senior team members through research assignments and proof of concepts
                                                            • Demonstrate a passion for problem solving and data presentation technologies
                                                            • Facilitate UAT testing for system migration and new initiatives
                                                            • Report development and support for internal customers; including executives analytical minded skillset
                                                            • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                                            -

                                                            -

                                                            What You Will Bring to Succeed
                                                            • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                                            • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                                            • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                                            • Analytical and Detail-oriented
                                                            • Report development and support for internal and external customers; including executives analytical minded skillset.

                                                            -

                                                            -

                                                            The Workplace
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                            -

                                                            -

                                                            Scotiabank
                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            -


                                                            Is this Role not the Exact fit?
                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            -


                                                            +
                                                            • Strong knowledge of python, SQL, and Linux
                                                            • Strong knowledge of data lifecycle for customer, account, and transactional data
                                                            • Strong communication skills and manage expectations with diverse groups for stakeholders
                                                            • Oracle Mantas Application experience and knowledge
                                                            • Familiar with Banking data, products and services
                                                            • Bachelor's degree in business, finance, computer science or engineering
                                                            • +Previous experience with data modelling and data analysis
                                                            • +
                                                            +

                                                            This is a temporary, full time role till April 30, 2023.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,feed-importer@jobboard.io,,,,2022-06-24T15:26:33.493Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127070279-senior-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-05-24T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -9c7e2240-8925-4e8a-926f-0482e205dd9a,127498448,Cohere AI,"Software Engineer, ML Frameworks",on_site,Toronto /,2022-05-26T05:06:07.214Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            Distribute and optimize anything and everything.
                                                            -

                                                            -
                                                            This role is ideal for you if you are excited about building a scale-first machine learning framework that powers Cohere’s language models. Here you will design and improve upon the framework that enables fast, reliable, and flexible training of large language models. In this role, you will work on the cutting edge of research and engineering, design and develop state-of-the-art machine learning models. If you are an experienced software engineer aiming to break into the ML industry, this is the role you are looking for! -
                                                            -

                                                            -
                                                            -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            -
                                                            -
                                                            -

                                                            As a Software Engineer - ML Frameworks, you will:

                                                            -
                                                                -
                                                              • Design and improve upon the internal framework to train models
                                                              • -
                                                              • Build and test the scalable services in the framework using cutting-edge distributed frameworks
                                                              • -
                                                              • Build internal tooling (CI/CD, dev utilities) to move faster together
                                                              • -
                                                              • Keep up with the cutting edge and adopt new technologies to improve performance and reliability
                                                              • -
                                                            -
                                                            -
                                                            -

                                                            You may be a good fit if:

                                                            -
                                                                -
                                                              • You are familiar with distributed systems - Ray and multiprocessing
                                                              • -
                                                              • You are excited to add new technologies to your toolbox and use them where it makes sense
                                                              • -
                                                              • You are competent at Docker and Kubernetes
                                                              • -
                                                              • Bonus: You have experience with high-performance, large-scale compute systems
                                                              • -
                                                              • Bonus: You have worked with major ML frameworks - JAX, Tensorflow, Pytorch
                                                              • -
                                                            -
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,feed-importer@jobboard.io,,,,2022-06-25T13:04:32.547Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/127498448-software-engineer-ml-frameworks-at-cohere-ai,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,expired,2022-05-26T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -f5444809-8034-4611-98a6-aa6ff500c1d9,132763723,TD Bank Group,Business Analyst II,on_site,"Toronto, ON",2022-06-20T21:06:12.395Z,"
                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/559494717/,feed-importer@jobboard.io,,,,2022-05-30T18:15:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/127070270-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/559494717/,expired,2022-05-24T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3a6d3caf-694d-4d47-8d2d-59fded51cf0c,124609896,TD Bank Group,Senior Fraud Strategist,on_site,"Markham, ON",2022-05-09T21:05:51.033Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -35400,145 +33039,382 @@ f5444809-8034-4611-98a6-aa6ff500c1d9,132763723,TD Bank Group,Business Analyst II

                                                            Department Overview

                                                            -
                                                            The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates.

                                                            -

                                                            This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

                                                            +
                                                            +

                                                            We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                                            +

                                                            The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                            +

                                                            The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                                            Job Description

                                                            -
                                                              -
                                                            • Lead a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
                                                            • -
                                                            • Analyze impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
                                                            • -
                                                            • Understand and clarify work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach
                                                            • -
                                                            • Provide recommendations and direction based on the end to end customer experience when making decisions
                                                            • -
                                                            • Lead and own the project deliverables related to business requirements to meet the needs of the customer, employee, and business
                                                            • -
                                                            • Assess and ensure that customer and employee experience / stakeholder impacts are appropriately managed
                                                            • -
                                                            • Engage appropriate stakeholders to identify and manage required outcomes of projects for the business
                                                            • -
                                                            • Provide on-going communication to key stakeholders, including the project sponsor, business project owner, project / program / portfolio manager to ensure they are aware of significant changes which impact requirements delivery against the overall project
                                                            • -
                                                            • Respond to inquiries and escalate concerns from stakeholders and partners at all levels in the organization
                                                            • -
                                                            • Identify and lead problem resolution to ensure customer needs are met
                                                            • -
                                                            • Lead and contribute to the development of test strategy/ test plans, test cases/ testing scenarios appropriate to the application/ project
                                                            • -
                                                            • Lead and contribute to the analysis of test data requirements, identification and preparation of test data
                                                            • -
                                                            • The Analyst will lead projects individually representing the GAML Business and supporting Business Acceptance Testing for all GAML initiatives.
                                                            • -
                                                            • The Analyst will lead interaction with Business Analysts, Project Managers, and internal /external partners throughout the various phases of a project / business initiative.
                                                            • -
                                                            • Recommend / Negotiate testing deliverables, timelines, appropriate to the project
                                                            • -
                                                            • Oversee and execute test scripts within the testing environment, ensuring defects are logged for the project, and documentation has been appropriately signed off
                                                            • -
                                                            • Chair daily defect status calls and provide updates to the project team
                                                            • -
                                                            • Provide project feedback, status reporting and mitigation plans to project team
                                                            • -
                                                            • Identify testing dependencies and risks, ensuring that they are effectively managed and mitigated
                                                            • -
                                                            • Ensure projects are following established testing procedures, standards and enterprise methodology
                                                            • -
                                                            • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                                            • -
                                                            • Ensure that the business acceptance tests exit criteria are met prior to implementation
                                                            • -
                                                            • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                                            • -
                                                            • Contribute to the development of the project plan and high-level work breakout session (WBS), identify and manage key risks and decisions
                                                            • -
                                                            • Own and complete relevant work packages through collaboration with multiple stakeholders to prepare for operational readiness, managing deadlines and adjusting to changing work priorities
                                                            • -
                                                            • Take ownership and communicate progress on work packages, including requirements management, in a concise and timely manner, escalating issues to project manager, partners and manager where appropriate
                                                            • -
                                                            • Assess project change requests and their impacts on requirements, checking for alignment to project benefits at all phases
                                                            • -
                                                            +
                                                            +

                                                            This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.
                                                            The strategist

                                                            +
                                                              +
                                                            • Must balance loss decisions with the impact to operational teams and the customer experience.
                                                            • +
                                                            • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                                            • +
                                                            +

                                                            The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                            +

                                                            Accountabilities:

                                                            +

                                                            Fraud Loss Management

                                                            +
                                                              +
                                                            • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                            • +
                                                            • Design and develop advanced analytics tools to derive business insights from data and information
                                                            • +
                                                            • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                                            • +
                                                            • Executes strategy design and configuration in all fraud prevention platforms (e.g. Faclon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                            • +
                                                            • Supports case valuation and prioritization to optimize fraud management
                                                            • +
                                                            • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                            • +
                                                            +

                                                            Process Support

                                                            +
                                                              +
                                                            • Produce timely diagnostics to identify system, strategy and operational issues
                                                            • +
                                                            • Participates in defect analysis to identify and remediate fraud coverage gaps
                                                            • +
                                                            • Identify and assess new developing fraud trends as they evolve
                                                            • +
                                                            • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                                            • +
                                                            +

                                                            Partner Support

                                                            +
                                                            • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                                            +
                                                            • Support the continuous improvement agenda for our operational partners
                                                            +

                                                            Requirements

                                                              -
                                                            • Proficiency in the following applications: Excel, Word, PowerPoint, Visio, MS Project, HP- ALM, JTMF, JIRA and/or other testing tools.
                                                            • -
                                                            • Advanced knowledge of testing methodologies, Project Management life cycle, Quality Assurance concepts and methodologies, analytical skills and documentation standards.
                                                            • -
                                                            • Detail oriented, analytical with excellent problem solving and troubleshooting abilities
                                                            • -
                                                            • Highly organized and flexible in prioritizing various work demands
                                                            • -
                                                            • A solid team player and comfortable taking constructive criticism
                                                            • -
                                                            • Able and comfortable presenting findings, summaries and recommendations in a coherent and comprehensive format
                                                            • -
                                                            • Knowledge of Global Anti-Money Laundering systems and processes is an asset
                                                            • -
                                                            • Leads Requirements Management / work packages for Tier 5 low to moderate risk and regulatory projects or initiatives and may contribute to Tier 3-4 projects
                                                            • -
                                                            • Sound to advanced knowledge of business analysis, project delivery practices and standards across the project life cycle
                                                            • -
                                                            • Work performed under minimal management guidance and supervision
                                                            • -
                                                            • Identify and lead problem resolution
                                                            • -
                                                            • Supports and may contribute to communication and change management activities
                                                            • -
                                                            • Excellent interpersonal and communication (both written and oral) skills
                                                            • +
                                                            • Undergraduate degree from a technical domain (e.g. mathematics/statistics, computer science, engineering)
                                                            • +
                                                            • Experience working with big data management and analytics tools
                                                            • +
                                                            • Proficiency in a data extraction/analysis/visualization tool. Examples include: SQL, Python, SAS, Knowledge Seeker, Excel, Tableau
                                                            • +
                                                            • Demonstrated analytical, modeling and problem solving skills
                                                            • +
                                                            • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                            • +
                                                            • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                            • +
                                                            • Ability to take initiative and work independently under tight timelines
                                                            • +
                                                            • Ability to work collaboratively and build relationships
                                                            • +
                                                            • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                            • +
                                                            +

                                                            Preferable

                                                            +
                                                              +
                                                            • Experience in fraud management is an asset
                                                            • +
                                                            • Knowledge of machine learning is an asset
                                                            -

                                                            #LI-Hybrid

                                                            -

                                                            Additional Information

                                                            -
                                                              -
                                                            • University degree and/or related working experience.
                                                            • -
                                                            • Minimum 4-5 years of BA/QA experience, preferably with 2-3 years of lead experience
                                                            • -
                                                            -

                                                            Hours

                                                            37.5

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-23T21:11:08.371Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132763723-business-analyst-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,expired,2022-06-20T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c75e5b16-1cdb-4185-9779-60e30296a5c6,132128466,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:06.568Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 150724

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            The world is changing faster than ever and so are we!

                                                            -

                                                            -

                                                            Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                            -

                                                            Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                            -

                                                            -

                                                            What Are We Looking For?

                                                            -

                                                            We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                            -

                                                            -

                                                            To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                            -

                                                            -

                                                            We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                            -

                                                            -

                                                            Make an Impact

                                                            -

                                                            As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                                            -

                                                            -

                                                            You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                            -

                                                            -

                                                            Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                            -

                                                            -

                                                            Is This Role Right for You?

                                                            -
                                                            • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                            • You are both deeply curious and highly pragmatic
                                                            • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                            • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                                            • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                                            • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                            • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                                            • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                            • You are committed to quality in everything you do – statistically, process and governance wise
                                                            • You look forward to sharing your insights through high-quality verbal & written communications
                                                            • You are professional, motivated AND FUN. We mean it.
                                                            • -
                                                            -

                                                            -

                                                            Sample projects that you might work on include:

                                                            -
                                                            • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                                            • Prepare attribution and/or stock-flow analysis of product portfolios
                                                            • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                                            • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                                            • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                                            • Identify, promote and lead process improvements for model development and monitoring
                                                            • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                            • -
                                                            -

                                                            -

                                                            What Do You Need to Succeed?

                                                            -

                                                            General

                                                            -
                                                            • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                            • A demonstrated history of analytic problem solving and sound judgment
                                                            • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                            • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                            • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                            • -
                                                            -

                                                            -

                                                            Technical

                                                            -
                                                            • Strong fundamental understanding of statistics
                                                            • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                            • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                            • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                            • Knowledge about credit risk models / scorecards
                                                            • +
                                                            ",,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-30T21:11:20.572Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/124609896-senior-fraud-strategist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,expired,2022-05-09T21:05:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +2f968424-0ef1-4774-b136-6611d806babe,105062275,Layer 6,Sr. DevOps Engineer,on_site,"Ontario, Canada",2022-01-20T16:21:02.764Z,"

                                                            You will join the team in solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.

                                                            +

                                                            We are looking for world-class devops engineers and problem solvers.
                                                            You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

                                                            +

                                                            Job Requirements

                                                            +

                                                            Must-Have:

                                                            +
                                                              +
                                                            • 5+ years of experience building sophisticated and automated production infrastructure
                                                            • +
                                                            • Solid Azure or AWS experience
                                                            • +
                                                            • Extensive experience with Kubernetes, docker and container orchestration
                                                            • +
                                                            • Experience with Saltstack or other configuration management
                                                            • +
                                                            • Strong scripting skills, i.e., Bash, Python, Groovy etc.
                                                            • +
                                                            • Experience with managing CI/CD tools and pipelines
                                                            • +
                                                            • Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
                                                            • +
                                                            • Experience with Git, Jenkins and Elasticsearch
                                                            • +
                                                            • Strong verbal and written communication skills, with the ability to work effectively across teams
                                                            • +
                                                            • BA/BS degree or equivalent experience; Computer Science background preferred
                                                            -

                                                            -

                                                            What’s in It for You?

                                                            -
                                                            • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                            • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                            • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                            • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                            • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                            • +

                                                              Nice-to-Have:

                                                              +
                                                                +
                                                              • Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
                                                              • +
                                                              • Familiarity with monitoring tools
                                                              • +
                                                              • Experience with automated testing tools
                                                              • +
                                                              • Experience troubleshooting and tuning systems performance
                                                              • +
                                                              • Knowledge of Java
                                                              -

                                                              -

                                                              This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                                              -

                                                              -

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-23T22:48:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/132128466-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f44a01b0-5c45-47fc-9b15-ac7ae6c69961,126310797,Scotiabank,Senior Data Analyst (Ottawa Hub location),on_site,Canada : Ontario : Ottawa || Canada : Ontario : Toronto,2022-05-20T05:06:06.326Z,"

                                                            -

                                                            +

                                                            Benefits:

                                                            +
                                                              +
                                                            • Entrepreneurial and learning culture
                                                            • +
                                                            • Excellent health coverage and pension plan
                                                            • +
                                                            • Four weeks paid vacation
                                                            • +
                                                            • Catered lunches twice a week over machine learning talks
                                                            • +
                                                            ",careers@layer6.ai,,aimasters@vectorinstitute.ai,https://layer6.ai/careers/,,,2022-05-31T16:21:00.000Z,False,0,0,31,https://talenthub.vectorinstitute.ai/jobs/105062275-sr-devops-engineer-at-layer-6,,expired,2022-01-20T16:21:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Senior Level,Bachelors Degree,Re-Posting an Expired Job, +646c27fd-1fc1-4349-81f2-af1b1a577ef0,121915908,Google,"Research Intern, BS, Fall 2022",on_site,"Toronto, ON, Canada",2022-04-21T17:08:04.208Z,"
                                                            +2022-04-18T14:02:05.568Z
                                                            +
                                                              +
                                                            • Share
                                                            • +
                                                              Save +
                                                            • +

                                                            Research Intern, BS, Fall 2022

                                                              +
                                                            • Google
                                                            • +
                                                            • In-office:
                                                              + Waterloo, ON, Canada +
                                                            • +
                                                            • + 1 more location
                                                            • +
                                                            +
                                                            +
                                                            +

                                                            Please complete your application before August 26th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                            +

                                                            NOTE: This internship is intended for students who are pursuing a BS degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                            +

                                                            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            Minimum qualifications:

                                                            +
                                                              +
                                                            • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                            • +
                                                            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                            • +
                                                            +

                                                            Preferred qualifications:

                                                            +
                                                              +
                                                            • Currently attending a degree program in Canada.
                                                            • +
                                                            • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                            • +
                                                            • Experience as a researcher, including internships, full-time, or at a lab.
                                                            • +
                                                            • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                            • +
                                                            • Experience with one or more general purpose programming languages.
                                                            • +
                                                            • Ability to speak and write in English fluently.
                                                            • +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the job

                                                            +

                                                            Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                            Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                            +

                                                            Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                            Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Responsibilities

                                                              +
                                                            • Develop and execute a research agenda.
                                                            • +
                                                            • Create and support a productive and innovative team, including working with peers, managers, and teams.
                                                            • +
                                                            +
                                                            +
                                                            +

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                                                            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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                                                            +
                                                            +
                                                            ",,"https://careers.google.com/jobs/results/119083051633255110-research-intern-bs-fall-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-05-25T15:07:34.324Z,False,0,4,40,https://talenthub.vectorinstitute.ai/jobs/121915908-research-intern-bs-fall-2022-at-google,,expired,2022-04-21T17:08:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,No Degree,New Posting, +762cd6cf-c65d-41cb-9747-e199992b3cd3,121938725,Accenture,Data Engineer Consultant,on_site,Ontario - Toronto,2022-04-21T22:46:12.444Z,"

                                                            Job Description

                                                            Data Engineer - Ingestion

                                                            +

                                                            +

                                                            Location: Toronto

                                                            +

                                                            Are you ready to step up and take your technology expertise to the next level?

                                                            -

                                                            Requisition ID: 152051

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                                            -

                                                            The Team
                                                            Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                                            -

                                                            -

                                                            The Role
                                                            As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                            -


                                                            Some of the key accountabilities include:

                                                            -

                                                            • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                                            • Analyze data in both Financial Systems and Big Data environments
                                                            • Support senior team members through research assignments and proof of concepts
                                                            • Demonstrate a passion for problem solving and data presentation technologies
                                                            • Facilitate UAT testing for system migration and new initiatives
                                                            • Report development and support for internal customers; including executives analytical minded skillset
                                                            • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                                            -

                                                            -

                                                            What You Will Bring to Succeed
                                                            • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                                            • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                                            • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                                            • Analytical and Detail-oriented
                                                            • Report development and support for internal and external customers; including executives analytical minded skillset.

                                                            -

                                                            -

                                                            The Workplace
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                            -

                                                            -

                                                            Scotiabank
                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            -


                                                            Is this Role not the Exact fit?
                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            -


                                                            #ottawahub

                                                            +

                                                            We are Accenture Cloud First

                                                            +


                                                            Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                                            Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                                            -

                                                            Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,feed-importer@jobboard.io,,,,2022-06-23T20:35:52.204Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/126310797-senior-data-analyst-ottawa-hub-location-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-30T21:07:11.035Z,"
                                                            +

                                                            The Work

                                                            +


                                                            Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                                            + +


                                                            +

                                                            Qualifications

                                                            +

                                                            Who are we looking for?

                                                            +

                                                            +

                                                            3 year of experience in the following:

                                                            +
                                                              +
                                                            • Azure Data Factory
                                                            • +
                                                            • PySpark
                                                            • +
                                                            • Azure SQL
                                                            • +
                                                            • Azure Data Lake
                                                            • +
                                                            +

                                                            +

                                                            Preferred Skills:

                                                            +

                                                            Certification: Azure Data Certification

                                                            +

                                                            Python

                                                            +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                            +
                                                            +

                                                            Equal Employment Opportunity Statement

                                                            +

                                                            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                            +

                                                            Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                            +

                                                            Requesting An Accommodation

                                                            +

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            +

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                            +

                                                            Other Employment Statements

                                                            +

                                                            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                            +

                                                            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-25T15:09:19.481Z,False,0,1,28,https://talenthub.vectorinstitute.ai/jobs/121938725-data-engineer-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,expired,2022-04-21T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +b8b7dabf-5585-4e47-a9c7-307a9206570c,121832933,RBC,"Customer Insights, Data & Analytics Product Manager (Ownr)",on_site,"Toronto, ON, Canada",2022-04-21T12:53:06.864Z,"
                                                            +

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            Customer Insights, Data & Analytics Product Manager (Ownr)

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            RBC Ventures is a new kind of business – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives – to move RBC ‘beyond banking’. We’re building a world-class organization focused on designing exceptional experiences, exploring new business models and creating exponential value. In 2020, we were named by Fast Company as one of the 100 Best Workplaces for Innovators and we’re looking for team members with the curiosity to explore, the capabilities to build and capacity to help us deliver our mission

                                                            +

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            Ownr is seeking a talented, experienced and passionate Product Manager focused on customer insights, Data & Analytics to join our growing team. In this role you will work across the business to support and manage the execution of data-related products and projects to help drive our customer understanding and cross-functional capabilities. We are looking for vocal futurists who have a passion for technology and are inspired by the idea of bringing to life product roadmaps that benefit hundreds of thousands of people at a key milestone in their lives.

                                                            +

                                                            +

                                                            About Ownr

                                                            +

                                                            At Ownr, we have helped thousands of Canadians establish their businesses. As we redefine the entrepreneurship landscape, we take pride in simplifying what it takes to be a business owner. We\'re on a mission to become the leading platform for entrepreneurship in Canada, and it takes an entire team to build something big. So join our team and discover how we can help entrepreneurs make their dreams a reality.

                                                            +

                                                            +

                                                            What you will do

                                                            +
                                                              +
                                                            • Help set the product vision and strategy for data, analytics, and customer insights
                                                            • +
                                                            • Own the translation of business requirements, you will execute to deliver solutions that expand our data and analytics capabilities across multiple portfolios.
                                                            • +
                                                            • Design and conduct analyses using various techniques (developing frameworks, building dashboards, segmentation, modelling) to provide value for the stakeholders you support.
                                                            • +
                                                            • Responsible for creating and managing quality data products, processes and services to ensure growth and achievement of our business goals.
                                                            • +
                                                            • Understand our key drivers, customer use cases, and full user flow impact across all platforms.
                                                            • +
                                                            • Create, manage, and maintain KPI\'s to monitor, analyze and improve conversion
                                                            • +
                                                            • Lead the product planning and development process through backlog grooming, refinement, and prioritization activities
                                                            • +
                                                            • Define and detail User Stories and prioritize team backlogs in accordance to our business drivers.
                                                            • +
                                                            • Evaluate and document the requirements for each product feature, articulate these requirements, answer questions and make scope trade-off decisions as needed.
                                                            • +
                                                            • Ensure optimal delivery by removing barriers and obstacles that impact performance and develop contingency plans to demonstrate adaptability while supporting continuous learning.
                                                            • +
                                                            • Bridge technical, business and creative worlds, engaging with matrixed teams including development, UX/UI design, copy, legal, risk and compliance, creating a collaborative environment while maximizing on business return.
                                                            • +
                                                            • Drive internal stakeholders and cross-functional business unit engagements necessary for an optimal on-time launch.
                                                            • +
                                                            • Focus on backend functionality as well as user-facing features that make world-class user engaging platforms.
                                                            • +
                                                            +

                                                            +

                                                            Skills you\'ll need to succeed

                                                            +

                                                            Must have

                                                            +
                                                              +
                                                            • Minimum of 3 years of relevant experience in an analytical function (e.g. Business Analytics, Consulting).
                                                            • +
                                                            • Experience working as a Product Manager in a SaaS environment.
                                                            • +
                                                            • Proven work experience in data product management (growth-stage company experience a plus) and working with agile teams and organizations.
                                                            • +
                                                            • Experience translating business requirements to actionable software solutions.
                                                            • +
                                                            • In-depth knowledge of agile processes and principles, with the ability to provide direction to the agile team and stakeholders throughout.
                                                            • +
                                                            • Extensive experience developing use cases, epics and stories in a clear and concise manner, enabling the engineering team to deliver maximum productivity and value
                                                            • +
                                                            • Experience maintaining and prioritizing the backlog in accordance to business and technology drivers.
                                                            • +
                                                            • Experience in the planning of product releases and setting expectations for delivery of new functionality.
                                                            • +
                                                            • A Proven ability to make hard decisions in a fast-paced environment, while actively identifying and mitigating issues that have an impact on successful completion of goals.
                                                            • +
                                                            • Ability to speak to business functions, customers and partners with confidence and professionalism.
                                                            • +
                                                            • Commitment to winning as a team.
                                                            • +
                                                            • An entrepreneurial & innovative spirit
                                                            • +
                                                            +

                                                            +

                                                            Nice to have

                                                            +
                                                              +
                                                            • Experience with the development process, use of tools like GitHub
                                                            • +
                                                            • Experience using analytics tools such as: SQL, Amplitude, and Metabase
                                                            • +
                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +
                                                              +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • +
                                                            • Ability to make a difference and lasting impact
                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                                            • +
                                                            • A world-class training program in financial services
                                                            • +
                                                            • Flexible work/life balance options
                                                            • +
                                                            +

                                                            +

                                                            Launching and running a business can be daunting. But, at Ownr, we bring entrepreneurs closer to their dreams.

                                                            +

                                                            +

                                                            We have helped thousands of Canadians establish their businesses. As we redefine the entrepreneurship landscape, we take pride in simplifying what it takes to be a business owner. Our industry-leading tools, resources, and ongoing support make it as easy as possible for entrepreneurs to start and succeed.

                                                            +

                                                            +

                                                            +

                                                            VSPRODUCT

                                                            +

                                                            RBC Ventures

                                                            +

                                                            +

                                                            RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                            +

                                                            +

                                                            RBC exige, à titre de condition d\'emploi, que tous les candidats retenus aux États-Unis ou au Canada soient entièrement vaccinés contre la COVID-19 avant leur date d\'entrée en fonction. Il est possible qu\'ils aient à présenter une preuve vaccinale. Des mesures raisonnables d\'adaptation sont offertes lorsque la loi l\'exige

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Job Summary

                                                            +

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            +

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-04-20-07:00

                                                            Application Deadline:

                                                            2022-06-30-07:00
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000007944/Customer-Insights-Data-Analytics-Product-Manager-Ownr,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-05-25T15:05:31.438Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/121832933-customer-insights-data-analytics-product-manager-ownr-at-rbc,,expired,2022-04-21T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +6f4fd559-52a0-45f6-a2e9-d4fedc7add2d,125649732,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-05-16T21:06:07.327Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -35547,389 +33423,409 @@ a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Ins

                                                            Department Overview

                                                            -

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            -

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            +

                                                            The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                            The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                            +

                                                            The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO)

                                                            Job Description

                                                            -

                                                            -

                                                            About this Role

                                                            -

                                                            As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                            -

                                                            In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                            -

                                                            -

                                                            As a Senior Business Insights Analyst, you will:

                                                            +

                                                            Reporting to the Senior Manager, the incumbent is accountable for EDGO Data and Information Policy & Standards adherence specifically as it pertains to the build-out and execution of Business Banking’s Projects. They will work closely with the Business Bank’s Data Steward (DS) Community and partner extensively with their peers on the Data Strategy and Management team providing strong data governance over the Projects, while enabling efficient and effective data delivery to support the projects.

                                                            +

                                                            Accountabilities Include:

                                                              -
                                                            • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                                            • -
                                                            • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                            • -
                                                            • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                                            • -
                                                            • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                                            • -
                                                            • Execute on data requests accurately and within a timely manner
                                                            • -
                                                            • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                                            • -
                                                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                            • -
                                                            • Provides day-to-day support and delivery of analytics
                                                            • -
                                                            • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                                            • -
                                                            • Considered an authority within a given area
                                                            • -
                                                            • Oversee and/or independently perform tasks from end to end
                                                            • +
                                                            • Coordinate the data processes and streams within the active Projects for existing and new data created;

                                                            • +
                                                            • Coordinate data governance & management activities across project/PODs and LOBs

                                                            • +
                                                            • Supports completion of the Data Impact Assessment throughout the project Life Cycle

                                                            • +
                                                            • Determine optimal structure for storing, managing, and actively using data create or required within the Projects;

                                                            • +
                                                            • Coordinate and work closely with the Business Bank’s Analytics & Reporting team to develop metrics for measuring, tracking, analyzing, and optimizing account opening and review approval workflows;

                                                            • +
                                                            • Ensure decisions and solutions are aligned with Enterprise and the Business Bank’s Data Governance & Analytics Innovation & Data Strategies;

                                                            • +
                                                            • Navigate across and partner with, Business Banking’s Data Steward Community for best practices, insights and shared learnings;

                                                            • +
                                                            • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;

                                                            • +
                                                            • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;

                                                            • +
                                                            • Participate in Business Bank’s Segment Data Council meetings;

                                                            • +
                                                            • Participate fully as a member of the Business Bank’s Data Governance & Analytic team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;

                                                            • +
                                                            • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                            Requirements

                                                            -What can you bring to TD?

                                                            -

                                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +

                                                            What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • Undergraduate degree or technical certificate
                                                            • -
                                                            • Five (5) or more years relevant experience
                                                            • -
                                                            • Hands on experience in Python/PySpark, Tableau, and SQL
                                                            • -
                                                            • Experience in modeling (ML algorithms) is desirable
                                                            • -
                                                            • Management consulting and/or MBA background is preferable
                                                            • +
                                                            • Sound knowledge of Data Life Cycle Management Requirements and processes

                                                            • +
                                                            • Experience working on data related initiatives with specific emphasis on data retention and destruction expertise considered an asset;

                                                            • +
                                                            • Knowledge of Business Bank data and systems considered an asset;

                                                            • +
                                                            • Experience working on data integration/Conversion projects or large scale, complex technology projects using formal project delivery methodology;

                                                            • +
                                                            • Be able to act as Data Subject Matter and Data Business Analyst communicating with cross functional teams

                                                            • +
                                                            • Excellent relationship management skills;

                                                            • +
                                                            • Excellent oral and written communication and presentation skills;

                                                            • +
                                                            • Strong organizational awareness;

                                                            • +
                                                            • Strong attention to detail and well-organized to manage large amounts of information and details

                                                            • +
                                                            • Superior negotiation and creative problem-solving skills

                                                            +

                                                            Additional Information

                                                            +
                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            #LI-Hybrid

                                                            +
                                                            +

                                                            Hours

                                                            37.5

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-04T20:49:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/134796771-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-30T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c9a49652-9469-4346-b70b-65e9395f8a8c,131887931,EY,Senior Consultant - Privacy and Data Trust,on_site,Toronto,2022-06-16T04:44:02.979Z,"

                                                            Senior Consultant - Privacy and Data Trust

                                                            -
                                                            Location: Toronto
                                                            -
                                                            Other locations: Primary Location Only
                                                            -
                                                            Date: Jun 10, 2022
                                                            -

                                                            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                            -

                                                            -

                                                            With rapidly changing data threats, clients from all industries look to us for trusted solutions for their increasingly complex risks. You will have access to our robust platform to advise clients on managing data protection and privacy, enhancing maturity, and improving efficiency. You will belong to an international connected team of specialists helping our clients with their most complex data protection and privacy needs and contributing toward their business resilience.

                                                            -

                                                            -

                                                            The opportunity

                                                            -

                                                            -

                                                            We are actively seeking a Senior Consultant to join our Cybersecurity team specifically the Privacy and Data Trust specialty. You’ll work alongside respected industry professionals, learning about and applying leading practices to better manage people, processes and technology capabilities within the data protection and privacy domains. You’ll gain insights into the design and operations of privacy and data trust programs and strategies in a variety of industries and learn how to design measurable, sustainable programs to keep up with the constantly evolving privacy landscape.

                                                            -

                                                            -

                                                            This position falls within our Consulting practice, which helps our clients enhance the effectiveness of operations functions by assisting them as they shift their emphasis from transaction-level control, processing and reporting to more value driven, decision support and analytics.

                                                            -

                                                            -

                                                            Your key responsibilities

                                                            -

                                                            -

                                                            As a Cybersecurity, privacy and data trust senior you'll deliver client engagements as well as internal projects. You will help clients gain insights into their privacy programs and capabilities to maintain compliance to local and global privacy regulations while building consumer trust. Consult with privacy and cyber managers to determine the role of IT systems in an organization. Research emerging technologies to determine if installing them can increase the organization’s efficiency and effectiveness and identify any potential impact in privacy. Advise clients on managing their privacy programs to mitigate their business risks. Assess privacy programs and strategies using our proprietary framework, design solutions to remediate gaps or enhance maturity of specific privacy capabilities, improve measurements and monitoring, and develop sustainable processes to enable our clients to achieve business goals and mitigate their risks.

                                                            -

                                                            -

                                                            Skills and attributes for success

                                                            -

                                                            -

                                                            Client Responsibilities

                                                            -
                                                            • Consistently deliver quality client services.
                                                            • Stay abreast of current business and industry trends relevant to the client's business.
                                                            • Demonstrate technical capabilities and professional knowledge. Demonstrate ability to assimilate to new knowledge.
                                                            • Remain current on new developments in advisory services capabilities and industry knowledge.
                                                            • Demonstrate and apply a thorough understanding of complex data processing systems. Use knowledge of the current data processing environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations.
                                                            • -
                                                            -

                                                            -

                                                            To qualify for the role, you must have

                                                            -
                                                            • A Bachelor’s degree in Law or in Computer Science, Management Science, Information Security, Data, Business, Ethics or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Management Science, Data, Business, Ethics, Law, or a related field and 2 to 3 years of work experience.
                                                            • Knowledge and 2 to 3 years of hands-on experience in one or more of the following areas:
                                                              - Assessing client risk and compliance against privacy regulations
                                                              - Designing or operationalizing functional privacy within or on behalf of a business.
                                                              - Providing support of privacy enhancing technology (PET).
                                                            • Knowledge and 2 to 3 years of practical experience with common frameworks, standards and methodologies used in the data protection and privacy field.
                                                            • Practical experience with conducting risk assessments and testing of data protection and privacy controls
                                                            • Excellent analytical skills and knowledge of data analytics methods
                                                            • Ideally possess one of the following certifications: CIPP (Canada), CIPM or CIPT.
                                                            • Solid knowledge and experience presenting using MS Power Point, Excel and Visio.
                                                            • Solid oral and written communication skills.
                                                            • Experience on writing reports on findings and analysis of privacy issues.
                                                            • -
                                                            -


                                                            What we look for

                                                            -

                                                            -

                                                            We’re interested in intellectually curious people with a genuine passion for cybersecurity, data protection and privacy. If you have the confidence in both your presentation and technical abilities to grow into a leading expert here, this is the role for you.

                                                            -


                                                            Diversity and Inclusion at EY

                                                            -

                                                            -

                                                            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                            -


                                                            What we offer

                                                            -


                                                            At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                            -

                                                            -

                                                            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                            -
                                                            • Support and coaching from some of the most engaging colleagues in the industry
                                                            • Learning opportunities to develop new skills and progress your career
                                                            • The freedom and flexibility to handle your role in a way that’s right for you
                                                            • -
                                                            -

                                                            -

                                                            EY | Building a better working world

                                                            -


                                                            EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                                            -


                                                            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                                            -


                                                            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                            ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,feed-importer@jobboard.io,,,,2022-07-04T20:49:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/131887931-senior-consultant-privacy-and-data-trust-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,expired,2022-06-16T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -5221c5fd-9539-4037-a1df-0ab4b277620f,115720713,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Ontario, Canada",2022-03-20T13:31:02.035Z,"
                                                            -

                                                            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T21:11:37.547Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/125649732-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15019276/data-steward-i-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e0a8a226-5a41-4c45-8eea-143131265376,125649734,TD Bank Group,Business Insights Analytics,on_site,"Toronto, ON",2022-05-16T21:06:07.778Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            -

                                                            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            TD Data Analytics & Reporting (DAR) Practice

                                                            -

                                                            As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company\'s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

                                                            +

                                                            What does TD DAR stand for?

                                                            +

                                                            As part of the TD Enterprise Data & Analytics team, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            -

                                                            More about Thomson Reuters Labs - http://tr.com/ai-jobs

                                                            +

                                                            TD DAR provides analytical thought leadership and strategic advice to enable our partners to make data-driven decisions. We support the firm’s strategic objective to leverage data and advanced analytical techniques to solve for complex business problems.

                                                            +

                                                            -

                                                            About the role

                                                            -

                                                            In this opportunity you will:

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            About this Role

                                                            +

                                                            As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights, and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                            +

                                                            +

                                                            In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering, and educating your peers to collaborate and bring TD into the future of banking.

                                                            +

                                                            +

                                                            +

                                                            +

                                                            As a Business Insights Analyst, you will:

                                                              -
                                                            • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

                                                            • -
                                                            • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                            • -
                                                            • Delivery: You will be accountable for timely, well-managed deliverables.

                                                            • -
                                                            • Innovate: You will be empowered to try new approaches and learn new technologies.

                                                            • -
                                                            • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                            • +
                                                            • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives

                                                            • +
                                                            • Develop analysis to illustrate business trends and identify areas of business opportunities

                                                            • +
                                                            • Produce insights and recommend business actions to align with strategy and/or solve business problems

                                                            • +
                                                            • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners

                                                            -

                                                            -

                                                            About you

                                                            -

                                                            You are a fit for the role if you have:

                                                              -
                                                            • Ph.D. in a relevant discipline or Master\'s plus a comparable level of experience

                                                            • -
                                                            • At least one year of industry experience building IR/NLP/ML systems

                                                            • -
                                                            • Solid software engineering skills for prototyping

                                                            • +
                                                            • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships

                                                            • +
                                                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain

                                                            • +
                                                            • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise

                                                            • +
                                                            • Execute on data requests accurately and within a timely manner and provide day-to-day support and delivery of analytics

                                                            • +
                                                            • Work independently as the senior analyst/subject matter expert and may coach and educate others

                                                            -

                                                            -

                                                            Preferred qualifications

                                                              -
                                                            • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                            • -
                                                            • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                            • -
                                                            • Proven communication skills and ability to work on deliverables independently

                                                            • -
                                                            • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                            • +
                                                            • Considered an authority within a given area

                                                            • +
                                                            • Oversee and/or independently perform tasks from end to end

                                                            • +
                                                            • Build understanding of cloud infrastructure and advanced analytics capabilities

                                                            -

                                                            What\'s in it for you

                                                            -

                                                            At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                            +

                                                            Additional responsibility for L10 and L11 hiring

                                                              -
                                                            • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                            • -
                                                            • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                            • -
                                                            • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                            • -
                                                            • Perks: Social events & activities, employee discount programs

                                                            • -
                                                            • Social Impact: Paid time off for volunteering virtually or in your community

                                                            • +
                                                            • Act as a lead for the project team in providing guidance on both technical matters as well as the business context of the analytical problems. Work autonomously as well as acting as a lead within a specialized business management function and provide work direction to others

                                                            • +
                                                            • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations

                                                            • +
                                                            • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value

                                                            • +
                                                            • Formulate relevant and significant data analysis through comprehensive data engineering and profiling tools

                                                            • +
                                                            • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help effective risk management in the business

                                                            +
                                                            • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity.

                                                            +

                                                            -

                                                            #LI-JS3

                                                            -

                                                            -

                                                            COVID-19 Vaccination Status Information Requirement (US employees only):

                                                            -

                                                            Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                            -

                                                            -

                                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                            -

                                                            -

                                                            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                            -

                                                            -

                                                            Accessibility

                                                            -

                                                            -

                                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                            -

                                                            -

                                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                            -

                                                            -

                                                            -

                                                            Protect yourself from fraudulent job postings click here to know more.

                                                            -

                                                            -

                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                            -
                                                            ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-06-28T13:31:00.000Z,True,5,4,181,https://talenthub.vectorinstitute.ai/jobs/115720713-applied-research-scientist-nlp-at-thomson-reuters,,expired,2022-03-20T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,PhD,Re-Posting an Expired Job, -f1925eb4-8a53-4094-9335-9973ac57e08d,131511361,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-06-14T05:07:07.232Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 153714

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                                            -

                                                            -

                                                            Key Accountabilities:

                                                            -

                                                            -
                                                            • Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                                            • Design highly efficient backend data mart to support frontend application
                                                            • Develop python based web application to support AML requirements
                                                            • Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                                            • Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                                            • Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                            • +

                                                              Requirements

                                                              +
                                                              +

                                                              What can you bring to TD?

                                                              +

                                                              Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                              +
                                                                +
                                                              • Strong ownership mentality, proactive attitude, and ability to get things done

                                                              • +
                                                              • Work collaboratively with business leaders and technical experts to conceptually understand business problems to inform analyses

                                                              • +
                                                              • Exercise critical thinking and judgement to determine the appropriate analytical solution (e.g. segmentation, Markov Chain analyses, probabilistic forecasting, decision trees, etc.) and/or identify actionable opportunities to improve Enterprise & Client outcomes

                                                              • +
                                                              • Ability to work with large and complex data sets, fluency in SQL

                                                              -

                                                              -

                                                              Experience / Education:

                                                              -

                                                              -
                                                              • Strong knowledge of python and SQL
                                                              • Familiarity with development within Linux environment
                                                              • Experienced in using python web application frameworks, like Dash, Flask, etc.
                                                              • Strong knowledge of data lifecycle for customer, account, and transactional data
                                                              • Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                                              • Familiarity with JavaScript, CSS, and HTML preferred
                                                              • Bachelor's degree in computer science, engineering, or related fields
                                                              • AML knowledge or banking knowledge is an asset
                                                              • +
                                                                  +
                                                                • Strong oral & written communication skills; ability to distill the most salient results of an analyses and convey insights and implications to business leaders

                                                                • +
                                                                • Hands-on experience with advanced dashboarding and visualization (e.g., Tableau), an asset

                                                                • +
                                                                • Working knowledge of Python or R

                                                                • +
                                                                • The right person will have strong business sense and will demonstrate critical thinking and structured problem-solving skills

                                                                • +
                                                                • Strong verbal and written communications skills are a must

                                                                -

                                                                -

                                                                This is a temporary, full time role for 12 months.

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,feed-importer@jobboard.io,,,,2022-06-27T20:45:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131511361-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f8c53e5f-9460-4580-9eb2-46cc22c271f2,133644152,Scotiabank,Principal Data Engineer - 9,on_site,Canada : Ontario : Toronto,2022-06-25T05:07:09.883Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 150001

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            Purpose:

                                                            -


                                                            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                            -


                                                            The role of the Principal Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data. We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                            -

                                                            -


                                                            Key Accountabilities:

                                                            -


                                                            • Lead a high-functioning Product Engineering Team!
                                                            • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                                                            • Be an evangelist and drive adoption of data services and automation tools
                                                            • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                                            • Participate in design discussions focused on scalability and design and implementation best practices.
                                                            • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                                            • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                            • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                            • Lead one or more products/services and define functions or features for data platforms.
                                                            • Support and maintain a successful product

                                                            -

                                                            -


                                                            Functional Competencies:

                                                            -


                                                            • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                                            • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                                            • 3+ years of experience leading and managing software development teams
                                                            • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                                            • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                                            • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                                                            • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                                            • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                                                            • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                            • Knowledge and understanding of analytics & data science life cycle
                                                            • Knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                                            • Experience in Agile/Product/Architecture.
                                                            • Experience in Cloud Data Solutions would be an asset
                                                            • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                                            • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                                            • Strong communication skills, both written and spoken
                                                            • Attention to details, high standards for quality.
                                                            • Desire to learn, grow yourself and your team.
                                                            • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                            • Writing and maintaining related documentation.
                                                            • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                            • Helps recruit + groom technology leaders and future leaders.

                                                            -

                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,feed-importer@jobboard.io,,,,2022-06-30T17:10:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/133644152-principal-data-engineer-9-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,expired,2022-06-25T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-06-16T10:46:10.130Z,"
                                                            -

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            -

                                                            -

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            -

                                                            -

                                                            To learn more about CIBC, please visit CIBC.com

                                                            -

                                                            -

                                                            Job Description

                                                            -

                                                            -

                                                            -

                                                            What you’ll be doing

                                                            -

                                                            -

                                                            As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                                            -

                                                            -

                                                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                            -

                                                            -

                                                            How you’ll succeed

                                                              -
                                                            • Business analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.

                                                            • -
                                                            • Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.

                                                            • -
                                                            • Project planning and execution – As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.

                                                            • +
                                                            • Being detail oriented with excellent analytical, quantitative, and investigative skills

                                                            • +
                                                            • Ability to multi-task and work independently in a fast-paced, dynamic environment

                                                            • +
                                                            • Comfortable in a team environment with changing priorities

                                                            • +
                                                            • Highly motivated with ability to work independently, and drive results; a self-starter

                                                            • +
                                                            • Understanding/Experience of Salesforce is an advantage

                                                            -

                                                            -

                                                            Who you are

                                                              -
                                                            • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                            • -
                                                            • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents

                                                            • -
                                                            • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                            • -
                                                            • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                            • -
                                                            • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.

                                                            • -
                                                            • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                            • +
                                                            • Hands-on experience with statistical modeling and machine learning including NLP, an asset

                                                            • +
                                                            • Data visualization and storytelling in Tableau.

                                                            • +
                                                            • Experience in Financial Services / Wealth Management business is an advantage

                                                            • +
                                                            • Undergraduate degree or technical certificate

                                                            • +
                                                            • Five (5) or more years relevant experience

                                                            +
                                                            • Advanced degrees in MMA/MBAn and/or STEM, an asset

                                                            -

                                                            What CIBC Offers

                                                            -

                                                            -

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                            +

                                                            Additional requirements for L10 and L11 hiring

                                                              -
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                            • -
                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                            • -
                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                            • +
                                                            • 5+ years’ experience in mining, analyzing and visualizing large amounts of data and programming skills (e.g., PYTHON, R, SQL, Hive, HQL, PySpark, Tableau)

                                                            • +
                                                            • Experience with creating complex Tableau dashboards considered an asset

                                                            +
                                                            • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

                                                            +

                                                            +

                                                            Additional Information

                                                            +
                                                            Note: We are hiring for multiple roles and seniority levels.
                                                            #businessIntelligence
                                                            #LI-Hybrid

                                                            +

                                                            +

                                                            -

                                                            What you need to know

                                                            -
                                                              -
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • -
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            • -
                                                            +

                                                            Hours

                                                            +
                                                            37.5

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T21:11:37.547Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/125649734-business-insights-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15344393/business-insights-analytics-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +e974c0b2-3eba-4740-b82e-9bb470482ffd,125649730,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-05-16T21:06:06.834Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            +

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            +

                                                            -

                                                            -

                                                            Job Location

                                                            Toronto-81 Bay, 31st Floor

                                                            Employment Type

                                                            Regular

                                                            -

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            -

                                                            Business Intelligence (BI), Business Intelligence Tools, Business Requirements, Microsoft Excel, Structured Query Language (SQL)
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2225995,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-30T10:51:07.785Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/131925286-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-06-16T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -82c565a3-0ed6-4a2e-9c53-4f2b6dea94cc,129197757,CIBC,"Consultant, Risk Analytics",on_site,"Ontario, Canada",2022-06-02T10:45:08.034Z,"
                                                            -

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            -

                                                            -

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            -

                                                            -

                                                            To learn more about CIBC, please visit CIBC.com

                                                            -

                                                            -

                                                            Job Description

                                                            -

                                                            -

                                                            What You’ll Be Doing

                                                            -

                                                            -

                                                            Enterprise Risk Management (ERM) establishes and provides an independent risk perspective, strategic direction and leadership for various groups in ERM. One of the group is Risk Data Management office whose purpose is to promote and improve the value of risk data as a strategic asset within Risk Management. The core accountability of the Risk Data Management Office (RDMO) is to provide governance and oversight, to support various risk systems, as well as to execute risk data management processes across retail and wholesale credit risk data, market risk and trading credit risk, and operational risk data.

                                                            -

                                                            -

                                                            As a Consultant, Risk Analytics for Credit Model Performance Monitoring (CMPM) Delivery team, you can partner with Risk Management and Technology stakeholders to document, develop and test scorecards for Financial Crimes Model Performance Monitoring (FCMPM) and Credit Model Performance Monitoring (CMPM). You can also assist in the execution of controls related to the integrity of risk data and conduct ongoing data quality reviews and ensure that new initiatives meet the standards required to support the business unit’s objectives and overall controls. Also the successful candidate can manage the processes and procedures around scorecard development for CMPM/FCMPM and support ongoing user inquiries into scorecard results and triage and resolve any issues as required

                                                            -

                                                            -

                                                            Who You Are

                                                            -
                                                              -
                                                            • -You have a graduate degree in Finance or STEM undergraduate degree. Exposure to machine learning coursework (Math, Data Analytics, Economics, Finance, Data Science) will be an asset.
                                                            • -
                                                            • -You have experience in Data Analysis tools (SQL, SAS EG, Hadoop, Netezza)
                                                            • -
                                                            • -You can demonstrate experience in building scorecards and dashboards for AML and Credit Risk monitoring. You have good coding skills, and have used SQL to extract and transform data for the purpose of producing reports for internal and external use
                                                            • -
                                                            • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                            • -
                                                            • -You have a key eye for Attention to detail as this position involves working with data, including validation of certain input data and verification of results.
                                                            • -
                                                            • -You have good knowledge of risk management terminology and principles. Experience in process improvement and project application development lifecycle
                                                            • -
                                                            • -You are familiar with relational databases and solid knowledge of database concepts.
                                                            • -
                                                            • -You can demonstrate excellent organizational and time management skills: ability to simultaneously manage multiple tasks and conflicting demands within time constraints with minimal supervision and effectively prioritize workload
                                                            • -
                                                            • -You are Flexible and have the ability to adapt to constantly evolving system, product and methodology changes
                                                            • -
                                                            • -You will ensure the you have the expertise in identification of metrics, thresholds and business rules for measuring data quality (i.e. accuracy, integrity, completeness, timeliness, latency and coverage)
                                                            • -
                                                            • -You will prepare and communicate insightful analysis including, variance analyses and risk performance.
                                                            • -
                                                            • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                            • -
                                                            • -You are skillful in evaluating complex data relationships and developing fact based reports and presentations on the knowledge gained from the analysis; being able to generate insights and recommend solutions to problems and present the outcomes.
                                                            • -
                                                            • -You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                                            • -
                                                            • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                            • -
                                                            -

                                                            -

                                                            How You’ll Succeed

                                                            -
                                                              -
                                                            • -You exhibit CIBC’s values of trust, team work, and accountability
                                                            • -
                                                            • -You will frequently liaise with other departments to establish collaborative relationships, provide expertise, and communicate forecasting estimates.
                                                            • -
                                                            • -You will be responsible for data-driven forecasts that enhance efficiency and predictability.
                                                            • -
                                                            • -You are keen in problem solving
                                                            • -
                                                            • -You process good writing and visual presentation skills sufficient to articulate the results of analysis performed
                                                            • -
                                                            • -You have well-developed communication skills to facilitate development of good working relationships within CIBC
                                                            • -
                                                            • -You are able to execute job functions with minimal supervision
                                                            • -
                                                            -

                                                            -

                                                            What CIBC Offers

                                                            -

                                                            -

                                                            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                            -
                                                              -
                                                            • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                            • -
                                                            • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                            • -
                                                            • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                            • -
                                                            • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                            • -
                                                            -

                                                            -

                                                            What you need to know

                                                            -
                                                              -
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • -
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            • -
                                                            -

                                                            -

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Job Location

                                                            Toronto-81 Bay, 31st Floor

                                                            Employment Type

                                                            Regular

                                                            -

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            -

                                                            Cloudera Hadoop, IBM Netezza, Microsoft Azure, SAS BI, Structured Query Language (SQL)
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Analytics_2218846,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-06T19:24:21.258Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/129197757-consultant-risk-analytics-at-cibc,,expired,2022-06-02T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -942e223f-ae2b-427f-9c85-aca79031e453,137619797,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-07-16T21:46:02.964Z,"
                                                            -

                                                            What\'s the opportunity?

                                                            -

                                                            As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                            -

                                                            -

                                                            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                            -
                                                            -
                                                            -

                                                            Your responsibilities include:

                                                            -
                                                              -
                                                            • Developing novel AI solutions that facilitate impactful products;
                                                            • -
                                                            • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                            • -
                                                            • Working with the development team to transfer research work into production;
                                                            • -
                                                            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                            • -
                                                            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                            • -
                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            +

                                                            About this Role

                                                            +

                                                            You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                            +

                                                            We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                            +

                                                            +

                                                            As the Manager, Analytics & Insights you will:

                                                            +
                                                              +
                                                            • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                            • +
                                                            • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                            • +
                                                            • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                            • +
                                                            • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                            • +
                                                            • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                            • +
                                                            • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                            • +
                                                            • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                            • +
                                                            • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                            • +
                                                            • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                            • +
                                                            • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                            • +
                                                            • Set operational team direction, working in partnership to execute on common goals
                                                            • +
                                                            • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                            • +
                                                            • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                            • +
                                                            • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                            • +
                                                            • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                            • +
                                                            • Support execution with excellence on key initiatives/programs
                                                            • +
                                                            • Design effective test and learn for various programs or scenarios
                                                            • +
                                                            • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                            • +
                                                            • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                            • +
                                                            • Present insights back to executive leaders / business partners to drive strategic improvement
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +What can you bring to TD?

                                                            +

                                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +
                                                              +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Seven (7) or more years relevant experience
                                                            • +
                                                            • Hands on experience in Python/PySpark, and SQL is a must
                                                            • +
                                                            • Experience in modeling (ML algorithms) is highly preferred
                                                            • +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/14986094/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-26T13:22:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/125649730-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14986094/manager-analytics-insights-toronto-ca/,expired,2022-05-16T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +791fa9b8-7359-4207-af05-21ff0c446707,126845246,TELUS,Data Engineer,on_site,"Ontario, Canada",2022-05-23T07:35:06.607Z,"
                                                            +
                                                            +

                                                            Description

                                                            -

                                                            You’re our ideal candidate if you have:

                                                            -
                                                              -
                                                            • A passion for solving open problems using data and algorithms;
                                                            • -
                                                            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                            • -
                                                            • Ability to formulate and drive a research project independently without close supervision;
                                                            • -
                                                            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                            • -
                                                            +

                                                            +

                                                            Join our team

                                                            +



                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                            +

                                                            +

                                                            We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                            +

                                                            +

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            +

                                                            +

                                                            The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our assets from an on premise data lake to Google’s Cloud Platform.

                                                            +

                                                            +

                                                            Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                            +

                                                            +

                                                            Here’s how

                                                            +

                                                            +
                                                              +
                                                            • Build data pipelines, provision infrastructure and secure reliable data-centric services and applications in GCP
                                                            • +
                                                            • Analyze data, build models and generate reports and visualization using Hadoop and Cloud infrastructure
                                                            • +
                                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modelling
                                                            • +
                                                            • Identify opportunities for and implement automation in the development and production process to reduce upfront hands-on work
                                                            • +
                                                            • Capture issues with the data that impact key business drivers and relay them to the product management teams
                                                            • +
                                                            • Support the data pipelines feeding into our machine learning algorithms and models
                                                            • +
                                                            • Assist the extracting, loading, transforming, cleaning, and validating of data
                                                            • +
                                                            +

                                                            +

                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            -

                                                            What’s in it for you?

                                                            -
                                                            +

                                                            +

                                                            You\'re the missing piece of the puzzle

                                                            +

                                                              -
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • -
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            • +
                                                            • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                            • +
                                                            • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementating and performance tuning Spark
                                                            • +
                                                            • You are respected for your experience in designing and deploying distributed, multi-technolgy, data processing systemsgies (MySQL, Oracle, Cassandra, HBase, Redis, MongoDB, Hadoop, Spark or others)
                                                            • +
                                                            • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                            • +
                                                            • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                            • +
                                                            • You are experienced with Apache, its ecosystem and relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
                                                            • +
                                                            • You are familiar SQL-on-technologies (Hive, Impala, Spark SQL, Presto)
                                                            -

                                                            About Borealis AI

                                                            +

                                                            +

                                                            Nice-to-haves

                                                            +

                                                            +
                                                              +
                                                            • GCP Professional Data Engineering certification
                                                            • +
                                                            • Google Cloud Dataflow and Google BigQuery experience
                                                            • +
                                                            • DevOps practices and tools experience
                                                            • +
                                                            • Orchestration and job scheduling platforms experience
                                                            • +
                                                            +

                                                            +

                                                            #DSEjobs

                                                            -

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            -

                                                            ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/137619797-machine-learning-researcher-at-borealis-ai,,expired,2022-07-16T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, -a4dfec8e-268e-405b-8f55-e8d002acacff,132558474,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-19T07:35:02.952Z,"
                                                            +
                                                            ",,https://careers.telus.com/job/Scarborough-Data-Engineer-ON/551283917/,feed-importer@jobboard.io,,,,2022-05-26T07:40:14.615Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/126845246-data-engineer-at-telus,,expired,2022-05-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +4fc68e20-e996-4c0f-943e-7d4b1bd4e0f3,128338078,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-05-31T05:06:06.133Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 150724

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            The world is changing faster than ever and so are we!

                                                            +

                                                            +

                                                            Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                            +

                                                            Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                            +

                                                            +

                                                            What Are We Looking For?

                                                            +

                                                            We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                            +

                                                            +

                                                            To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                            +

                                                            +

                                                            We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                            +

                                                            +

                                                            Make an Impact

                                                            +

                                                            As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                                            +

                                                            +

                                                            You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                            +

                                                            +

                                                            Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                            +

                                                            +

                                                            Is This Role Right for You?

                                                            +
                                                            • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                            • You are both deeply curious and highly pragmatic
                                                            • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                            • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                                            • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                                            • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                            • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                                            • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                            • You are committed to quality in everything you do – statistically, process and governance wise
                                                            • You look forward to sharing your insights through high-quality verbal & written communications
                                                            • You are professional, motivated AND FUN. We mean it.
                                                            • +
                                                            +

                                                            +

                                                            Sample projects that you might work on include:

                                                            +
                                                            • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                                            • Prepare attribution and/or stock-flow analysis of product portfolios
                                                            • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                                            • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                                            • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                                            • Identify, promote and lead process improvements for model development and monitoring
                                                            • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                            • +
                                                            +

                                                            +

                                                            What Do You Need to Succeed?

                                                            +

                                                            General

                                                            +
                                                            • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                            • A demonstrated history of analytic problem solving and sound judgment
                                                            • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                            • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                            • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                            • +
                                                            +

                                                            +

                                                            Technical

                                                            +
                                                            • Strong fundamental understanding of statistics
                                                            • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                            • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                            • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                            • Knowledge about credit risk models / scorecards
                                                            • +
                                                            +

                                                            +

                                                            What’s in It for You?

                                                            +
                                                            • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                            • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                            • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                            • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                            • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                            • +
                                                            +

                                                            +

                                                            This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-07T05:11:08.264Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/128338078-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-05-31T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +053f69ab-23d2-4885-8970-1824ad7c42a2,133300176,TELUS,Lead Data Scientist - TELUS Insights,on_site,"Ontario, Canada",2022-06-23T07:35:07.024Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +

                                                            +

                                                            The IoT Industry Solutions team is ""start-up"" within TELUS that is focused on building end-to-end customer solutions that combine the strengths of our networks, leading SaaS and platform partnerships, our breadth of customer relationships, and the power of data insights. We own the success of focused vertical and horizontal IoT solutions across Intelligent Mobility, Connected Workers, Smart City, Agriculture, and Health.

                                                            We\'re passionate about building new business areas for TELUS and will succeed by bringing clarity and focus to the challenge.

                                                            About the team

                                                            This role is part of the Data and Applied Intelligence team within IoT Industry Solutions. We are a provider of data, insights and data science services to commercial and government organizations. Our product solves many business problems across a wide variety of industries. They are currently being used in Tourism, Commercial Real Estate, Transportation and many other industries to help decision makers plan their next course of action or analyze their historical activities. We are a fun group of individuals, who are really passionate about our products and committed to provide quality solutions to our customers.

                                                            About the role

                                                            +

                                                            +
                                                              +
                                                            • Design and build large and complex data sets, from spurious sources while thinking strategically about uses of data and how data use interacts with data design
                                                            • +
                                                            • Design and implement statistical data quality procedures for new data sources
                                                            • +
                                                            • Develop algorithms/software for accessing and handling data appropriately
                                                            • +
                                                            • Implement and hand off data checking and updating procedures to teams
                                                            • +
                                                            • Lead the new product developments for the TELUS Insights portfolio and product enhancements for existing location intelligence products
                                                            • +
                                                            • Scale the current custom consulting projects to a generalized product that could be reused for multiple clients across multiple verticals
                                                            • +
                                                            • Develop and implement ML & AI and Big Data solutions including predictive modeling,forecasting and classification
                                                            • +
                                                            • Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization
                                                            • +
                                                            • Train others on what data is available and how to use various sources
                                                            • +
                                                            • Communicate findings to business leaders in a way that can influence how an organization approaches a business challenge
                                                            • +
                                                            • Support and evolve the TELUS Insights product roadmap by leveraging customer insights, industry research, best practices, and emerging tools/technology
                                                            • +
                                                            • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                            • +
                                                            • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                            • +
                                                            +

                                                            +

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +
                                                            +

                                                            +

                                                            You\'re the missing piece of the puzzle

                                                            +

                                                            +
                                                              +
                                                            • You have 5+ years of experience working with large temporal geospatial datasets
                                                            • +
                                                            • MSc. or PhD/Research in Computer Science, Statistics, Geospatial etc.
                                                            • +
                                                            • You possess deep expertise in location intelligence/ Geospatial data
                                                            • +
                                                            • Working with structured and unstructured data sets
                                                            • +
                                                            • Excellent skills working with complex SQL and Spark
                                                            • +
                                                            • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                            • +
                                                            • Experience building and architecting API endpoints
                                                            • +
                                                            • Experience working with telecom background is a plus
                                                            • +
                                                            • Experience working with cloud environments like GCP
                                                            • +
                                                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                            • +
                                                            • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                            • +
                                                            • Evaluating and providing input on potential business intelligence solutions.
                                                            • +
                                                            • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                            • +
                                                            • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                            • +
                                                            • Well versed in software development lifecycle and ML Ops concepts; Developing end-end to models/ projects and automation in production environment.
                                                            • +
                                                            • Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, classification, regression, clustering, NLP, time series forecasting, etc. ""Tensorflow”, “Deep Learning” and synthetic tabular data generation is a strong asset
                                                            • +
                                                            +

                                                            +

                                                            Great-to-haves

                                                            +

                                                            +
                                                              +
                                                            • PhD in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                            • +
                                                            • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                            • +
                                                            • Data environments experience: MS SQL, Oracle
                                                            • +
                                                            • Experience using Google Workspace
                                                            • +
                                                            • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                            • +
                                                            +

                                                            +

                                                            MBIOT22 #LI-HYBRID #LI-rEMOTE

                                                            +
                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Toronto-Lead-Data-Scientist-TELUS-Insights-ON/560575617/,feed-importer@jobboard.io,,,,2022-07-23T20:34:00.558Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133300176-lead-data-scientist-telus-insights-at-telus,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Team Lead,Masters Degree,New Posting, +f2dd4e59-48b2-457e-b6fd-1491698ba54a,133300175,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-23T07:35:06.948Z,"

                                                            Description

                                                            @@ -35982,28 +33878,8 @@ a4dfec8e-268e-405b-8f55-e8d002acacff,132558474,TELUS,Data Scientist,on_site,"Ont

                                                            #DSEjobs

                                                            -
                                                            ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-20T14:06:00.452Z,False,0,13,69,https://talenthub.vectorinstitute.ai/jobs/132558474-data-scientist-at-telus,,expired,2022-06-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -7ca15e3d-f69a-42f7-821f-8985d7beeaeb,132026754,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-06-16T22:46:08.050Z,"

                                                            Job Description

                                                            Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                                            -

                                                            Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                                            -

                                                            In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                                            -

                                                            An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                                            -

                                                            Experience in large data and platform modernizations/reengineering/migrations desirable.

                                                            -

                                                            Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                                            -

                                                            Excellent written and spoken communications skills in English and/or French.

                                                            -

                                                            -

                                                            -



                                                            Qualifications

                                                            Qualifications
                                                            8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                                            3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                                            Experience developing or migrating Spark workloads
                                                            Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                                            Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                                            Strong written communication skills. Is effective and persuasive in both written and oral communication
                                                            Secret Security clearance Eligibility desirable.

                                                            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                            -
                                                            -

                                                            Equal Employment Opportunity Statement

                                                            -

                                                            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                            -

                                                            Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                            -

                                                            Requesting An Accommodation

                                                            -

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            -

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                            -

                                                            Other Employment Statements

                                                            -

                                                            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                            -

                                                            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-20T14:07:32.201Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/132026754-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-06-16T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strategist,on_site,"Markham, ON",2022-07-11T21:07:02.662Z,"
                                                            +
                                                            ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-23T20:33:25.530Z,False,0,7,32,https://talenthub.vectorinstitute.ai/jobs/133300175-data-scientist-at-telus,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, +8fe53505-73b2-4e60-bd92-07186436b0b5,137965402,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-07-18T21:07:14.922Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -36012,59 +33888,64 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate

                                                            Department Overview

                                                            -

                                                            We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                                            -

                                                            The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                            -

                                                            The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                                            +

                                                            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                            +

                                                            NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                            +

                                                            Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                            Job Description

                                                            -

                                                            This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.
                                                            The strategist

                                                            -
                                                              -
                                                            • Must balance loss decisions with the impact to operational teams and the customer experience.
                                                            • -
                                                            • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                                            • -
                                                            -

                                                            The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                            -

                                                            Accountabilities:

                                                            -

                                                            Fraud Loss Management

                                                            -
                                                              -
                                                            • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                            • -
                                                            • Design and develop advanced analytics tools to derive business insights from data and information
                                                            • -
                                                            • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                                            • -
                                                            • Executes strategy design and configuration in all fraud prevention platforms (e.g. Faclon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                            • -
                                                            • Supports case valuation and prioritization to optimize fraud management
                                                            • -
                                                            • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                            • -
                                                            -

                                                            Process Support

                                                            +

                                                            Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                            +

                                                            If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                            +

                                                            As a Business Information Management Data Practitioner, you will:

                                                              -
                                                            • Produce timely diagnostics to identify system, strategy and operational issues
                                                            • -
                                                            • Participates in defect analysis to identify and remediate fraud coverage gaps
                                                            • -
                                                            • Identify and assess new developing fraud trends as they evolve
                                                            • -
                                                            • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                                            • +
                                                            • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                            • +
                                                            • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                            • +
                                                            • Engage in business and data requirements to develop complete business solutions
                                                            • +
                                                            • Design and implement complex business data information management frameworks
                                                            • +
                                                            • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                            • +
                                                            • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                            • +
                                                            • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                            -

                                                            Partner Support

                                                            -
                                                            • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                                            -
                                                            • Support the continuous improvement agenda for our operational partners

                                                            Requirements

                                                            +

                                                            Potential Candidates interested in this role should have:

                                                              -
                                                            • Undergraduate degree from a technical domain (e.g. mathematics/statistics, computer science, engineering)
                                                            • -
                                                            • Experience working with big data management and analytics tools
                                                            • -
                                                            • Proficiency in a data extraction/analysis/visualization tool. Examples include: SQL, Python, SAS, Knowledge Seeker, Excel, Tableau
                                                            • -
                                                            • Demonstrated analytical, modeling and problem solving skills
                                                            • -
                                                            • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                            • -
                                                            • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                            • -
                                                            • Ability to take initiative and work independently under tight timelines
                                                            • -
                                                            • Ability to work collaboratively and build relationships
                                                            • -
                                                            • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                            • +
                                                            • Undergraduate degree or technical certificate in a relevant field
                                                            • +
                                                            • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                            • +
                                                            • Experience in data programming languages, patterns and design principles
                                                            • +
                                                            • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                            • +
                                                            • Expertise in data storage and movement, including relational and big data
                                                            • +
                                                            • Strong analytical and problem-solving skills
                                                            • +
                                                            • In-depth knowledge of competitor and market trends
                                                            • +
                                                            • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                            • +
                                                            • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                            • +
                                                            • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                            • +
                                                            • Act as a brand champion for our business area / function and TD, both internally and externally
                                                            -

                                                            Preferable

                                                            +
                                                            +

                                                            +

                                                            Additional Information

                                                            +
                                                            +Data engineering:

                                                              -
                                                            • Experience in fraud management is an asset
                                                            • -
                                                            • Knowledge of machine learning is an asset
                                                            • +
                                                            • Degree in Computer Science
                                                            • +
                                                            • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                            • +
                                                            +

                                                            #dataengineer #LI-Hybrid

                                                            +

                                                            Locations:

                                                            +
                                                              +
                                                            • Toronto
                                                            • +
                                                            • Montreal
                                                            • +
                                                            • Markham
                                                            • +
                                                            • London
                                                            • +
                                                            • Ottawa
                                                            • +
                                                            • New Jersey, USA
                                                            • +
                                                            • Delaware, USA
                                                            +
                                                            * L7- L10

                                                            Hours

                                                            @@ -36073,110 +33954,160 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-18T21:12:19.787Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136709837-senior-fraud-strategist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,expired,2022-07-11T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2ed30b36-d7a9-428d-a0e4-0acd7e6f484e,131511368,FreshBooks,Data Engineering - Team Lead (Americas - Remote),on_site,"Toronto, ON, Canada",2022-06-14T05:07:09.760Z,"

                                                            -

                                                            It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                                            -

                                                            -

                                                            The Opportunity

                                                            -

                                                            FreshBooks is seeking a Data Engineering Team Lead to join our team. As part of the Data and Analytics Team, you will help us build and shape the future of our Data Engineering and Production Support teams, framework and processes. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                                            -

                                                            What you'll do:

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-25T21:12:07.077Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/137965402-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-07-18T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ed4b7f61-ff4c-46ae-a417-455409cf333a,136786592,RBC,Lead Software Engineer (Emerging Technologies Solutions),on_site,"Toronto, ON, Canada",2022-07-12T13:52:43.875Z,"

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            +

                                                            Lead Software Engineer (Emerging Technologies Solutions)

                                                            +

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            +

                                                            We are looking for an enthusiastic Lead Software Engineer who is excited by the opportunity of being at the forefront of technology, working on extremely innovative and challenging problems, and creating new solutions for our business partners. We have the freedom to try emerging technologies and applications, test, fail fast, learn, pivot and go again. We have the privilege to drive the leading edge of innovation and build things into existence or improve what is already here.

                                                            +

                                                            +

                                                            As a Lead Software Engineer, you will help guide the team in creating first-level experiments and building proof-of-concept applications using technologies such as Artificial Intelligence, Machine Learning, and Natural Language Processing among others.

                                                            +

                                                            +

                                                            The ideal candidate for this role would have a broad technical background, from front-end to back-end expertise as well as experience building applications that integrate machine-learning models and vendor solutions. Above all, the ideal candidate would enjoy learning new technologies while building things on the go.

                                                            +

                                                            +

                                                            +

                                                            What will you do?

                                                              -
                                                            • Build, mentor and lead a team that specializes in data engineering.
                                                            • -
                                                            • Identify and encourage areas for growth and improvement within the team.
                                                            • -
                                                            • Create a technical vision in order to turn it into reality with the help of the team.
                                                            • -
                                                            • Maintain high standards of quality within the team by establishing good practices and habits. Identify and encourage areas for growth and improvement within the team.
                                                            • -
                                                            • Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
                                                            • -
                                                            • Participate in peer-reviews of solution designs and related code.
                                                            • -
                                                            • Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.
                                                            • -
                                                            • Adhere to high-quality development principles while delivering solutions on-time and on-budget.
                                                            • -
                                                            • Collaborate with data engineers, data scientists, and data analysts to design and refine a series of SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                                            • -
                                                            • Design a robust incident management framework and work closely with Data Engineering management and product owners to provide timely and accurate communications.
                                                            • -
                                                            • Collaborate closely with platform, infrastructure and architecture teams to ensure our data engineering systems are well structured for scale, performance and cost.
                                                            • +
                                                            • Help guide the team and provide technical expertise on developing code that is in line with strategic initiatives, as well as develop, troubleshoot, enhance, and document components, as per requirements and detailed design according to RBC procedures and processes.
                                                            • +
                                                            • Participate and lead brainstorming sessions to identify and architect solutions
                                                            • +
                                                            • Collaborate with other T&O and business teams to converge on the best solutions for conducting first-level experiments and proof of concepts.
                                                            • +
                                                            • Work in an Agile lab environment, delivering code, automation deployments, and rapid prototype demonstrations on a bi-weekly basis.
                                                            • +
                                                            • Create and review technical documentation, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects
                                                            -

                                                            What you bring:

                                                            +

                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +

                                                            +

                                                            Must have

                                                            +

                                                              -
                                                            • Enthusiasm for data engineering!
                                                            • -
                                                            • 5+ years experience creating and maintaining data pipelines
                                                            • -
                                                            • Experience leading a team in the data & analytics industry
                                                            • -
                                                            • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                                            • -
                                                            • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                                            • -
                                                            • Experience with Airflow (Workflow Management Platform)
                                                            • -
                                                            • Strong programming skills in SQL and Python or a similar language
                                                            • -
                                                            • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Dataflow, Apache Beam, Spark, etc.)
                                                            • -
                                                            • Experience with Docker, Jenkins, Kubernetes, Terraform, and/or other DevOps and infrastructure as code technologies.
                                                            • -
                                                            • Experience with monitoring, incident management and alert management tools (e.g. Datadog, PagerDuty)
                                                            • -
                                                            • A strong practitioner of test-driven (and behaviour driven) development
                                                            • -
                                                            • Experience with Git workflows, continuous integration and automated build pipelines
                                                            • -
                                                            • Experience working in an Agile environment
                                                            • +
                                                            • Bachelor’s Degree or Master's degree in Computer Engineering, Computer Science, or related STEM degree with proven track record of delivering technology and innovative solutions.
                                                            • +
                                                            • Solid understanding of modern software development life cycle and CI/CD tooling.
                                                            • +
                                                            • Proficiency in Python, Java, Angular, React, Node, JavaScript, Shell scripting, or any other front-end and back-end tools.
                                                            • +
                                                            • Experience working with cloud-based applications, restless APIs, and micro services, including familiarity with Docker, Kubernetes, OpenShift, AWS, Google Cloud, and Microsoft Azure.
                                                            • +
                                                            • Ability to clearly communicate with technical teams, business users, and senior management
                                                            • +
                                                            • Experience mentoring and guiding junior software engineers, helping them improve their skills and make them more effective.
                                                            • +
                                                            • Preferred - Understanding of machine-learning use cases and experience with at least one of the following frameworks and libraries:
                                                                +
                                                              • Machine Learning (TensorFlow, PyTorch, HuggingFace)
                                                              • +
                                                              • Natural Language Processing toolkits (AWS SageMaker, Azure Cognitive Services for Language, Google DialogFlow, NLTK, PyTorch-NLP, SpaCy, Rasa)
                                                              • +
                                                              • Generative AI (Transformers, Generative Adversarial Networks).
                                                              -

                                                              What you might bring:

                                                              +
                                                            • +
                                                            +

                                                            +

                                                            Nice-to-have

                                                              -
                                                            • A track record of staying at the forefront of data engineering technology.
                                                            • -
                                                            • Experience with industry ETL & BI tools (e.g. Fivetran, Stitch, Talend, Informatica, Datastage, Looker, Tableau, PowerBI, etc.)
                                                            • -
                                                            • Subject matter data expertise in the SaaS industry.
                                                            • -
                                                            • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                                            • +
                                                            • Passion to learn, experiment, and build rapid prototypes with new technology frameworks, libraries, and low-code/no-code vendor solutions
                                                            • +
                                                            • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment, with proven record of technology delivery.
                                                            • +
                                                            • Strong software engineering and solution architecture skills. Ability to hand-code all components and able to direct people
                                                            • +
                                                            • Self-motivated, able to manage time and work with minimal supervision
                                                            -

                                                            Why Join Us

                                                            -

                                                            We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one, right here in downtown Toronto.

                                                            -

                                                            Apply now

                                                            -

                                                            Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                                            -

                                                            FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                                            -

                                                            Here at FreshBooks, we welcome and encourage applications from people with disabilities. Should you require any accommodations during the recruitment process, please advise your recruiter on how we can meet your needs to ensure a fair and equitable selection process in a confidential manner.

                                                            -

                                                            -

                                                            #LI-MD2

                                                            ",,https://boards.greenhouse.io/freshbooks/jobs/4316675,feed-importer@jobboard.io,,,,2022-07-16T13:28:52.190Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/131511368-data-engineering-team-lead-americas-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4316675,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -80482217-1491-4ee2-aa9e-a0c9442c6cc1,131892881,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-06-16T05:07:09.444Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                                            -

                                                            -
                                                            -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                                            +

                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +
                                                              +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • +
                                                            • Ability to make a difference and lasting impact
                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                                            • +
                                                            • A world-class training program in financial services
                                                            • +
                                                            • Flexible work/life balance options
                                                            • +
                                                            • Opportunities to do challenging work
                                                            • +
                                                            +

                                                            +

                                                            +

                                                            Job Summary

                                                            +

                                                            Address:

                                                            +

                                                            TORONTO, Ontario, Canada

                                                            +

                                                            City:

                                                            +

                                                            CAN-ON-TORONTO

                                                            +

                                                            Country:

                                                            +

                                                            Canada

                                                            +

                                                            Work hours/week:

                                                            +

                                                            37.5

                                                            +

                                                            Employment Type:

                                                            +

                                                            Full time

                                                            +

                                                            Platform:

                                                            +

                                                            Technology and Operations

                                                            +

                                                            Job Type:

                                                            +

                                                            Regular

                                                            +

                                                            Pay Type:

                                                            +

                                                            Salaried

                                                            +

                                                            Posted Date:

                                                            +

                                                            2022-06-30-07:00

                                                            +

                                                            Application Deadline:

                                                            +

                                                            2022-07-30-07:00

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            ",,https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Lead-Software-Engineer--Emerging-Technologies-Solutions-_R-0000019063,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2022-07-28T17:52:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136786592-lead-software-engineer-emerging-technologies-solutions-at-rbc,,expired,2022-07-12T13:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +f7edc126-526a-486b-b787-4c75bab52c08,139496504,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-07-25T21:07:04.085Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            -
                                                            -

                                                            As a Software Engineer, you will:

                                                            -
                                                                -
                                                              • Build model inference framework and infrastructure.
                                                              • -
                                                              • Build model production pipeline tools.
                                                              • -
                                                              • Integrate various third party model runtimes.
                                                              • -
                                                              • Build model performance profiling tools.
                                                              • -
                                                              • Optimize frameworks and improve system design.
                                                              • -
                                                            -
                                                            -
                                                            -

                                                            You may be a good fit if you have:

                                                            -
                                                                -
                                                              • Extensive software engineering experience writing production-quality code.
                                                              • -
                                                              • Experience optimizing systems and tools.
                                                              • -
                                                              • Basic understanding of machine learning workflow.
                                                              • -
                                                              • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                                              • -
                                                            -
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-07-16T13:29:24.311Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/131892881-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-06-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-07-14T21:07:02.634Z,"
                                                            +

                                                            +

                                                            Department Overview

                                                            +

                                                            The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                            +

                                                            As a Data Scientist, Cyber-Fraud, you will:

                                                            +
                                                              +
                                                            • +All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                                +
                                                              • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                              • +
                                                              • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                              • +
                                                              +
                                                            • +
                                                            • +Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                                +
                                                              • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                              • +
                                                              • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                              • +
                                                              • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                              • +
                                                              +
                                                            • +
                                                            • +Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                                +
                                                              • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                              • +
                                                              • Conduct cyber investigations and digital forensics as required
                                                              • +
                                                              +
                                                            • +
                                                            • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                            • +
                                                            +
                                                              +
                                                            • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                            • +
                                                            • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                            • +
                                                            • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                            • +
                                                            +
                                                            • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                                            +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +
                                                            • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                            +
                                                              +
                                                            • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                            • +
                                                            • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                            • +
                                                            • Information security certification/accreditation or analytics certifications an asset
                                                            • +
                                                            • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-28T21:13:10.491Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/139496504-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-07-25T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,,Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +cf01c4b4-fb01-4777-b6f8-3da601d43d70,144396023,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-08-16T01:50:19.577Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -36184,38 +34115,35 @@ ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineeri

                                                            Department Overview

                                                            -
                                                            Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                            -

                                                            Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                            -
                                                            +

                                                            Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                            Job Description

                                                            -

                                                            We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                            -

                                                            As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                                            -

                                                            You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                            +

                                                            About this Role

                                                            +

                                                            Are you an experienced data steward and data analysis expert? If so, this role offers a hands-on opportunity to execute on line of business data strategy, working in alignment with Bank-wide data standards and policy. This is an expert professional role requiring in-depth knowledge in your field of specialty and working knowledge of broader related areas. You may be appointed Data Steward for your line of business.

                                                            +

                                                            As a Data Steward I, you will:

                                                            +
                                                              +
                                                            • Identify and monitor the quality of critical data elements
                                                            • +
                                                            • Complete metadata and data quality tasks
                                                            • +
                                                            • Partner with technology and architecture colleagues and contacts to drive effective data related activities for LOB
                                                            • +
                                                            • Participate in cross-functional/enterprise initiatives by conducting research and analysis related to data changes and issues
                                                            • +
                                                            • Understand, remediate and implement changes in various forums on behalf of LOB
                                                            • +
                                                            • Provide specialized data governance / management advice and support to teams, management, leadership
                                                            • +
                                                            • Understand trends, identify issues and opportunities and recommend action to management
                                                            • +
                                                            • Manage data work activities requiring coordination across multiple areas
                                                            • +
                                                            • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                            • +
                                                            • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                            • +

                                                            Requirements

                                                            -

                                                            Must-Have

                                                            -
                                                              -
                                                            • Engineering leadership experience with having led high-performance engineering teams
                                                            • -
                                                            • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                                            • -
                                                            • You value good software design and sweat over details in code and API design
                                                            • -
                                                            • Knowledge of machine learning modelling workflow
                                                            • -
                                                            • You enjoy learning new technology and educating others
                                                            • -
                                                            • You strive to communicate clearly and with empathy
                                                            • -
                                                            • You take great personal pride in building robust and scalable software
                                                            • -
                                                            • You are highly accountable and have a strong sense of ownership
                                                            • -
                                                            • Ability to do detailed code reviews and give thoughtful feedback
                                                            • -
                                                            -


                                                            Nice to have

                                                            +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • Experience building a library or a framework
                                                            • -
                                                            • Knowledge of machine learning algorithms
                                                            • -
                                                            • Experience with Azure cloud stack
                                                            • -
                                                            • Data analytics
                                                            • -
                                                            • Comfortable with math or statistics
                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Five (5) or more years relevant experience
                                                            • +
                                                            • Skill in using software tools, applications, data analysis methods
                                                            • +
                                                            • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions

                                                            @@ -36225,63 +34153,8 @@ ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineeri

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-21T21:12:06.732Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/137266384-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -732a547c-f91c-484b-9d54-340fe7cc1eef,133484132,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-06-24T05:07:11.188Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 152179

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            Associate Data Engineer, Canadian Business Banking

                                                            -

                                                            -

                                                            Purpose

                                                            -


                                                            This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                            -



                                                            The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                            -

                                                            -

                                                            Accountabilities:

                                                            -


                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                            • Supports the development and management of database and Business Intelligence for Business Banking
                                                            • Build data architecture for Business Banking
                                                            • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                            • Architect the generation of powerful datasets to bring successful analytics to market
                                                            • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                            • Learn the business strategy and generate ideas for insightful tools
                                                            • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                                            • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                            • Work with data users to ensure datasets produced meet their analytic needs
                                                            • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                                            • Enable quick speed to market for new data needs for the Business Bank·
                                                            • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                                            • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                                            • Keep abreast with latest database technology and data solutions
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                            • Champions a high-performance environment and contributes to an inclusive work environment.

                                                            -

                                                            -

                                                            Education / Experience / Other Information:

                                                            -

                                                            Education
                                                            • Bachelor’s degree in Computer Science or related field or relevant experience
                                                            • Master’s degree in Computer Science – preferred

                                                            -

                                                            -

                                                            Skills/Work Experience:
                                                            • 2+ years of data engineering and software experience
                                                            • Experience with Python and/or Scala required
                                                            • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                                            • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                                            • Hands-on development in a distributed data environment an asset
                                                            • Experience with Business Intelligence Tools: Power BI, Tableau
                                                            • Excellent verbal and written communication skills are required
                                                            • Strong prioritizing and analytical skills
                                                            • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                                            • Strong technical skills in Math, Computer Science or related fields
                                                            • Excellent design and delivery capabilities
                                                            • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133484132-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-06-24T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -38fc4f21-0845-4766-bc37-30607691b9ea,134862639,Scotiabank,"Associate, ALM Analytics & Development",on_site,Canada : Ontario : Toronto,2022-07-01T05:07:08.933Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 156325

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            Job Purpose

                                                            -

                                                            -

                                                            Be part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. Our team consists of quantitatively minded people with diverse backgrounds in engineering, physics, finance, and computer science, who bring fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                                                            -

                                                            Scotiabank Treasury has undertaken a multi-year technology transformation to create new value-added analytics and to create a leading, best-in-class Treasury unit. As a member of the Treasury Analytics & Development team, the incumbent will be conceptualizing, developing, and deploying state-of-the art analytical models, high performance simulation systems, and front-end graphical solutions to support new and existing balance sheet management initiatives. You will also be responsible for building and deploying critical daily processes that will be leveraged to deliver reports and analytical tools to various team the group supports around Treasury and beyond.

                                                            -

                                                            We are looking for a passionate and quantitatively skilled individual to join the team who is quick at learning new concepts, demonstrates curiosity, enjoys research, and who is a creative problem solver. The ideal candidate also shows a strong interest in developing elegant analytical solutions utilizing a range of software tools, implements efficient coding practices, and creates pragmatic, results-focused analytics with a focus on the end-user experience. This position is ideal for a person with an advanced education in a highly technical discipline, and who possesses prior work experience in applied analytics, software development, and modeling within the quantitative finance industry. The ideal candidate will have prior work experience with python development and IT productionalization. Experience with data visualization and customer/user experience (Cx/Ux) interface design using latest web technologies would be an asset.

                                                            -

                                                            -

                                                            Accountabilities

                                                            -

                                                            -
                                                            • Develop, test, and deploy production-ready analytical tools, web-based applications, and the technology framework to measure, forecast, and simulate balance sheet structural interest rate risk exposures, margin analysis, and portfolio stress testing
                                                            • Create new web-based, user-focused tools and reports for market facing trading desk and senior management focused on continually improving the customer experience
                                                            • Provide technical expertise and support technical deployment within the team
                                                            • Collaborate with multiple stakeholders to drive agile product version releases and faster user adoption
                                                            • Maintain existing and develop new retail and wholesale banking product cash flow models, incorporating consumer behavior trends and business-line specific assumptions and retail forecasts
                                                            • Provide timely analysis of balance sheet exposures and what-if scenario testing
                                                            • Maintain, follow, and propose standards and control protocols for the group to ensure output is correct and reproducible
                                                            • Ensure operational effectiveness to deliver analytics capabilities to end users
                                                            • Work closely with market-facing, risk management, and finance teams on the various analytical, reporting and exposure measurement issues
                                                            • Write, implement, test, and utilize sophisticated quantitative models for hedging and ALM purposes
                                                            • Present to other Treasury colleagues regarding new SIRR analytics and ALM methodology impact testing
                                                            • Identify efficiency opportunities by working with business lines in the development of new and/or changes to existing products
                                                            • Build strong partnerships and rapports with multiple Finance and infrastructure units to initiate the review, testing, and final implementation of new ALM analytics initiatives across the Bank
                                                            • Work with our IT groups to release processes and application to Bank production supported environments
                                                            • -
                                                            -

                                                            -

                                                            Functional Competencies

                                                            -

                                                            -

                                                            The incumbent must have:

                                                            -
                                                            • Strong technical knowledge in programming languages and data management software, including MATLAB, Python (Including being familiar with packages like Flask and Pandas/Numpy), SQL, C++, and Visual Basic.
                                                            • Experience in full stack development utilizing technologies such as JQuery/Javascript, React.js, Streamlit for python and back-end tools such as node.js and Flask.
                                                            • Experience in developing highly interactive, user-centric front-end web applications
                                                            • Working understanding of interest rate market dynamics
                                                            • Solid knowledge of financial and management accounting principles
                                                            • Understanding and practical experience in Interest Rate Sensitivities
                                                            • Strong presentation and communication skills, both oral and written
                                                            • Excellent analytical, problem-solving, conceptualization, and strategic thinking skills
                                                            • Ability to communicate technical and analytical concepts to a broad range of stakeholders
                                                            • Strong customer-focus with a proven ability to translate complex customer requirements into user-focused final product
                                                            • -
                                                            -

                                                            -

                                                            Education

                                                            -

                                                            -
                                                            • At least one Masters-level degree in Financial Engineering or highly technical disciplines (i.e. engineering, physics, or applied mathematics) with an undergraduate degree in physics, engineering, or computer science.
                                                            • Minimum 2 years of experience at a top-tier financial institution, preferably with knowledge in interest rate products, asset liability management, and risk management.
                                                            • -
                                                            -
                                                            • Previous model development experience and proven ability to assess, interpret, and implement financial theories, concepts, and models.
                                                            • Advanced experience in computer programming, distributive computing, database management, machine learning, and development of analytical tools with a solid understanding of statistics, derivatives concepts, as well as interest rate sensitive products.
                                                            • Expert knowledge of MATLAB data/statistical modeling software.
                                                            • Strong SQL skills with knowledge and experience in building ALM systems / processes.
                                                            • Creative problem solver and strong analytical skills.
                                                            • Ability to effectively interact with end users of the ALM Analytics & Development Team’s tools and software products
                                                            • -
                                                            -

                                                            -

                                                            -

                                                            treasuryjobs

                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/134862639-associate-alm-analytics-development-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,expired,2022-07-01T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -8161eb02-57c4-4cf6-a685-39f883ee6fa5,141830598,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-05T01:50:21.431Z,"
                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/144396023-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,expired,2022-08-16T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c22449eb-48c6-45ff-a868-f3dc8088108e,145822813,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-23T01:51:04.791Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -36342,213 +34215,387 @@ ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineeri

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-09T01:55:20.172Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/141830598-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-05T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -e02b91ae-bfb4-49bb-be4f-bb92c84ba065,139647716,Bell Canada,Data Science Developer Intern,on_site,"Toronto, Ontario",2022-07-26T18:23:04.269Z,"

                                                            Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.

                                                            -

                                                            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                            -

                                                            -

                                                            Do you know someone who would be perfect for this opportunity? If you refer a qualified candidate who is not a current Bell employee and they are hired, you may be eligible to receive a referral bonus! Simply look for the referral hashtag in the job description to see if this role qualifies.

                                                            -

                                                            -

                                                            About Us:

                                                            -

                                                            The Data Engineering & Artificial Intelligence focuses largely on sourcing data, maintaining and developing machine learning models and deploying production model driven applications. Our team partners closely with other teams within the company and works most closely with Field Services, operationalizing machine learning to help us continue to transform the business.

                                                            -

                                                            -

                                                            If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Data Engineering and Artificial Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

                                                            -

                                                            -

                                                            Position Summary:
                                                            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science Intern, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Bell to implement and operationalize machine learning models that give real-time feedback to our customers and technicians.

                                                            -


                                                            Key Responsibilities:

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/145822813-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +6c13c494-ba53-4df1-9b16-d66dfec3cc35,145822844,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-08-23T01:51:07.464Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +
                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                            +

                                                            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                            +

                                                            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                            +
                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            Delivery

                                                              -
                                                            • Build code and models to translate data into actionable insights
                                                            • -
                                                            • Design and develop Machine Learning models to improve Customer Experience and optimize processes
                                                            • -
                                                            • Track model performance using appropriate KPIs, metrics and techniques
                                                            • -
                                                            • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
                                                            • -
                                                            • Communicate results of analysis and models to stakeholders effectively and confidently
                                                            • -
                                                            • Translating business imperatives into data centered questions to be able to quantify and evaluate them
                                                            • -
                                                            • Bring in new sources of data by exploring data across Bell and externally
                                                            • -
                                                            • Design and expand interactive dashboards
                                                            • +
                                                            • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                            • +
                                                            • Build complex statistical models that learn from and scale to petabytes of data.
                                                            • +
                                                            • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                                            • +
                                                            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                            • +
                                                            • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                            • +
                                                            • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                                            -

                                                            -

                                                            Qualifications:

                                                            +

                                                            Expertise & Leadership

                                                              -
                                                            • Currently enrolled or recently completed undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
                                                            • -
                                                            • Self starter with excellent problem solving skills
                                                            • -
                                                            • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
                                                            • -
                                                            • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
                                                            • -
                                                            • Experience deploying ML/AI models into production
                                                            • -
                                                            • Knowledge of machine learning practices and experience applying them to real datasets
                                                            • -
                                                            • Must be versatile and quick to learn new languages, packages and frameworks
                                                            • -
                                                            • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
                                                            • -
                                                            • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                            • -
                                                            • Team player with excellent organization and people skills
                                                            • +
                                                            • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                            • +
                                                            • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                                            • +
                                                            • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                                            • +
                                                            • Communication and Stakeholder Management
                                                            • +
                                                            • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                                            • +
                                                            • Advanced communication, business acumen and stakeholder management competencies
                                                            • +
                                                            • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                                            • +
                                                            • Exceptional collaborator in a high-interaction environment
                                                            • +
                                                            • Foresee needs from business partners to prescribe effective solutions
                                                            • +
                                                            • Leverage empirical evidence and facts to influence/support decision making
                                                            • +
                                                            • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                                            • +
                                                            • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                                            -

                                                            -

                                                            Key Information:

                                                            -
                                                            • Internship term: 8-12 months starting in September 2022
                                                            -

                                                            -

                                                            -

                                                            Adequate knowledge of French is required for positions in Quebec.

                                                            -

                                                            Additional Information:

                                                            -

                                                            Position Type: Contractor
                                                            Job Status:
                                                            Intern
                                                            Position Level:
                                                            CP2
                                                            Job Location:
                                                            Canada : Ontario : Toronto
                                                            Flexible work profile:
                                                            Mobile
                                                            Contact Name:
                                                            Application Deadline:
                                                            07/10/2022

                                                            -

                                                            -

                                                            Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                            -

                                                            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                            -

                                                            -

                                                            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                            -

                                                            -

                                                            Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                                            -

                                                            Created: Canada, ON, Toronto

                                                            ",,https://jobs.bell.ca/ca/en/job/BECACA378317EXTERNALENCA/Data-Science-Developer-Intern?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-08T18:07:00.000Z,False,0,15,76,https://talenthub.vectorinstitute.ai/jobs/139647716-data-science-developer-intern-at-bell-canada,BECACA378317EXTERNALENCA,expired,2022-07-26T18:23:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Masters Degree,New Posting, -0b74d835-1bbd-458e-94c7-c4d38cea9366,136541688,Cohere AI,Machine Learning Engineer,on_site,Toronto /,2022-07-10T05:07:02.784Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            Design and implement novel research ideas.
                                                            -

                                                            -
                                                            Ship state of the art models to production.
                                                            -

                                                            -
                                                            Deep connections to academia.
                                                            -

                                                            -
                                                            We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                                                            -

                                                            +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +
                                                              +
                                                            • Ability to translate business requirements into technical and analytical tasks
                                                            • +
                                                            • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                                            • +
                                                            • Technical understanding and critical thinking to challenge status quo
                                                            • +
                                                            • Strong problem-solving skills, mathematical and data literacy
                                                            • +
                                                            • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                                            • +
                                                            • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                                            • +
                                                            • Demonstrated experience in data transformation and data manipulation.
                                                            • +
                                                            • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                                            • +
                                                            • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                                            • +
                                                            • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                                            • +
                                                            • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                                            • +
                                                            • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                                            • +
                                                            • Experience with machine learning including supervised and unsupervised models.
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Additional Information

                                                            +
                                                            +#datascientist #LI-Hybrid

                                                            +

                                                            Locations:
                                                            Toronto
                                                            Montreal
                                                            Markham
                                                            London
                                                            Ottawa

                                                            +

                                                            * L7- L10

                                                            +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-26T01:56:27.084Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/145822844-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +fd6201e2-d2da-4370-941a-846ba4e7b684,139649994,Borealis AI,Machine Learning Researcher Fall Internship,temporary,"Toronto, ON, Canada",2022-07-26T19:54:49.147Z,"

                                                            About Borealis AI

                                                            +

                                                            Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its fourlabs in Canada.

                                                            +

                                                            +

                                                            Our internships are currently running virtually. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                                                            +

                                                            +

                                                            Internship opportunities are available in the following areas:
                                                            - Deep Learning
                                                            - Reinforcement Learning
                                                            - Graphs and Optimization
                                                            - Unsupervised and Semi-supervised Learning
                                                            - Bayesian Optimization
                                                            - Privacy and Fairness
                                                            - Interpretability and Explainability
                                                            - AutoML
                                                            - Time Series Forecasting
                                                            - Natural Language Processing
                                                            - Computer Vision

                                                            +

                                                            +

                                                            You’re our ideal candidate if you have:
                                                            - Ability to implement state-of-the-art machine learning techniques
                                                            - High motivation to solve challenging research problems
                                                            - Passion for data, algorithms, and statistics
                                                            - Experience working towards a PhD or already hold an MSc in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                                                            - Previous publications at a top-tier AI conference
                                                            - Experience with writing modular, robust, scalable software in Python
                                                            - Familiarity with the Unix command line and bash scripting
                                                            - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                                                            - A deep understanding of machine learning algorithms and/or statistical modeling

                                                            +


                                                            +

                                                            Internship duration: 4 months (September - December 2022)

                                                            +

                                                            Application deadline: August 31, 2022

                                                            +

                                                            +

                                                            How to apply:
                                                            Complete the online application and submit your resume at: https://www.borealisai.com/en/...

                                                            +

                                                            +

                                                            For any questions and enquiries, please contact: mi.research@borealisai.com

                                                            +

                                                            Inclusion and Equal Opportunity Statement:
                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/internships/borealis-ai-internships/,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-08-25T21:32:00.000Z,True,0,48,372,https://talenthub.vectorinstitute.ai/jobs/139649994-machine-learning-researcher-fall-internship-at-borealis-ai,,expired,2022-07-26T19:54:00.000Z,employer-repost,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +7fc04ba9-ad13-4b77-8f98-bb008b7bcd8c,133784093,Google,"Research Intern, BS, Fall 2022",on_site,"Toronto, ON, Canada",2022-06-25T17:11:06.643Z,"
                                                            +2022-04-18T14:02:05.568Z
                                                            +
                                                              +
                                                            • Share
                                                            • +
                                                              Save +
                                                            • +

                                                            Research Intern, BS, Fall 2022

                                                              +
                                                            • Google
                                                            • +
                                                            • In-office:
                                                              + Waterloo, ON, Canada +
                                                            • +
                                                            • + 1 more location
                                                            • +
                                                            +
                                                            +
                                                            +

                                                            Please complete your application before August 26th, 2022. Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                            +

                                                            NOTE: This internship is intended for students who are pursuing a BS degree with an anticipated graduation date before December 2023, depending on their program and unique circumstances. If you are graduating after December 2023, we encourage you to apply to the Student Researcher opening.

                                                            +

                                                            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            Minimum qualifications:

                                                            +
                                                              +
                                                            • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                            • +
                                                            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                            • +
                                                            +

                                                            Preferred qualifications:

                                                            +
                                                              +
                                                            • Currently attending a degree program in Canada.
                                                            • +
                                                            • Availability to work full-time for a minimum of 12 weeks outside of university term. Ability to return to a degree program after completion of the internship.
                                                            • +
                                                            • Experience as a researcher, including internships, full-time, or at a lab.
                                                            • +
                                                            • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                            • +
                                                            • Experience with one or more general purpose programming languages.
                                                            • +
                                                            • Ability to speak and write in English fluently.
                                                            • +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the job

                                                            +

                                                            Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

                                                            Research Interns aren\'t cloistered in the lab, but instead they work closely with Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing new architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more.

                                                            +

                                                            Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

                                                            Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Responsibilities

                                                              +
                                                            • Develop and execute a research agenda.
                                                            • +
                                                            • Create and support a productive and innovative team, including working with peers, managers, and teams.
                                                            • +
                                                            +
                                                            +

                                                            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                            To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                            At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                            We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                            +
                                                            +
                                                            +
                                                            ",,"https://careers.google.com/jobs/results/119083051633255110-research-intern-bs-fall-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-08-26T18:51:00.000Z,False,0,19,89,https://talenthub.vectorinstitute.ai/jobs/133784093-research-intern-bs-fall-2022-at-google,,expired,2022-06-25T17:11:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,No Degree,New Posting, +71fdf6a0-7e65-4c28-ad42-949e1024540c,139956504,League,Data Analyst - Remote,full,US / Canada - Remote,2022-07-28T05:07:03.812Z,"
                                                            +
                                                            Help Us Shape the Future of Healthcare
                                                            +
                                                            +
                                                            At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                            +

                                                            As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                            +

                                                            People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                            +

                                                            Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                            +


                                                            In this role, you will:

                                                            +
                                                              +
                                                            • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                            • +
                                                            • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                            • +
                                                            • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                            • +
                                                            • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                            • +
                                                            • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                            • +
                                                            +


                                                            Attributes

                                                            +
                                                              +
                                                            • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                            • +
                                                            • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                            • +
                                                            • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                            • +
                                                            • You drive to learn and master new technologies and techniques.
                                                            • +
                                                            • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                            • +
                                                            • You are eager to learn from others and help others grow with you.
                                                            • +
                                                            +



                                                            Desired Outcome

                                                            +
                                                              +
                                                            • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                            • +
                                                            • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                            • +
                                                            +


                                                            Required Education/Experience/Certificates

                                                            +
                                                              +
                                                            • Strong SQL skills and experience working with a modern ETL framework
                                                            • +
                                                            • Experience working as a data analyst or data scientist
                                                            • +
                                                            • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                            • +
                                                            +



                                                            Nice To Have Experience

                                                            +
                                                              +
                                                            • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                            • +
                                                            • Healthcare industry experience
                                                            • +
                                                            -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            -
                                                            -

                                                            Working on Machine Learning, you will:

                                                            -
                                                                -
                                                              • Design, train and improve upon cutting-edge models
                                                              • -
                                                              • Develop new techniques to train and serve models safer, better, and faster
                                                              • -
                                                              • Train extremely large scale models on massive datasets
                                                              • -
                                                              • Engage in research collaborations with our partner organizations and academic affiliations
                                                              • -
                                                              • Publish your work in top-tier conferences and journals
                                                              • -
                                                              • Work closely with product teams to develop solutions
                                                              • -
                                                              • Assist our legal teams with preparation of patents on developed IP
                                                              • -
                                                              • Join us at a pivotal moment, shape what we build and wear multiple hats!
                                                              • -
                                                            -
                                                            -

                                                            You may be a good fit if you have:

                                                            -
                                                                -
                                                              • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                                                              • -
                                                              • Experience using large-scale distributed training strategies
                                                              • -
                                                              • Familiarity with autoregressive sequence models, such as Transformers
                                                              • -
                                                              • Strong communication and problem-solving skills
                                                              • -
                                                              • A demonstrated passion for applied NLP models and products
                                                              • -
                                                              • -Bonus: experience writing kernels for GPUs using CUDA
                                                              • -
                                                              • -Bonus: experience training on TPUs
                                                              • -
                                                              • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                                                              • -
                                                                * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                -
                                                            -
                                                            -

                                                            -

                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,14,66,https://talenthub.vectorinstitute.ai/jobs/136541688-machine-learning-engineer-at-cohere-ai,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,expired,2022-07-10T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -9719a2f1-c1d3-4f6a-97c0-80a413511505,140937005,Cohere AI,NLP Software Engineer,on_site,Toronto /,2022-08-02T05:07:04.949Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            As a Rapid NLP prototyper you will be responsible for prototyping, developing, and deploying a wide variety of applications using the cohere API. You will work directly with Nick Frosst (co-founder / CTO) as well as the rest of the eng team, in order to build out and publish demos and examples of NLP applications. You would be a good fit for this role if you have a wide breadth of technical background (front end / back end / ML / Infra), if you are passionate about building things, and if you are a self-starter and enjoy working independently.
                                                            -

                                                            +At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                            +
                                                            +
                                                            Here are some additional resources to learn more about League:
                                                            + + + +
                                                            -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/140937005-nlp-software-engineer-at-cohere-ai,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,expired,2022-08-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -9f958ec1-d095-4866-8187-bafa61c7e6c0,136097230,Air Canada,Staff Software Engineer - 29778,on_site,"Location: TORONTO, ON, Canada",2022-07-08T05:07:05.765Z,"
                                                            • Create detailed development patterns and reviews across relevant stakeholders to ensure alignment to the overall business needs including technology stack, solution architecture, security requirements and performance testing documents
                                                            • Analyze, document and optimize the overall development patterns by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices
                                                            • Participate in the selection of relevant technologies and products when solicited and actively identify products and technologies to advance the development practices and end solutions.
                                                            • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate options to audiences with limited expertise related to the selected technology
                                                            • Support the delivery of the solution by providing insights to the application development teams and project managers that plan and execute delivery activities
                                                            • Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work
                                                            • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, patterns, standards, best practices, and enterprise architectural standards.
                                                            • Serve as the primary interface with architecture, and provide technical leadership to development teams, and all internal and external teams involved in the implementation process.
                                                            • Create development patterns and coding guidelines that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with delivery teams.
                                                            • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
                                                            • Build standard patterns for different business use cases and projects.
                                                            • +

                                                              Recognize and Avoid Employment scams. Practice safe job searching.

                                                              +Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +
                                                            +
                                                            +
                                                            Privacy Policy
                                                            +
                                                            Review our Privacy Policy for information on how League is protecting personal data.
                                                            +
                                                            +
                                                            ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-08-27T13:48:29.467Z,False,0,13,79,https://talenthub.vectorinstitute.ai/jobs/139956504-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-07-28T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, +e08389a4-7dc6-4d07-a044-530816c0333d,139967662,Vector Institute,"Research Services Officer Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-07-28T07:06:03.492Z,"
                                                            +

                                                            Research Services Officer

                                                            +

                                                            The Vector Research Operations & Academic Partnerships team is seeking a dynamic and action-oriented individual in the role of Research Services Officer to support the implementation of the Vector Institute’s Canada CIFAR AI (CCAI) Chair program, which is part of the Government of Canada’s Pan-Canadian AI Strategy (PCAIS) administered by CIFAR.

                                                            +

                                                            +

                                                            Reporting to the Manager, Research Services, the incumbent will support the recruitment, onboarding, and support of Vector Faculty Members and Vector Postdoctoral Fellows. The role will also monitor key reporting requirements for PCAIS 2 and coordinator reporting requirements.

                                                            +

                                                            +

                                                            In addition, the Research Services Officer will support initiatives that strengthen the researcher community at Vector, such as a Visiting Researchers Program.

                                                            +

                                                            +

                                                            Key Responsibilities

                                                            +

                                                            +
                                                              +
                                                            • Support talent recruitment and acquisition activities for faculty and postdoctoral fellows by coordinating Vector’s Recruitment and Hiring Committees.
                                                            • +
                                                            • In concert with external university partners and internal stakeholders, ensure a strong positive experience during the faculty and postdoctoral fellow recruitment and onboarding.
                                                            • +
                                                            • Schedule and document of the annual faculty review process and steward the renewal process for CCAI Chairs.
                                                            • +
                                                            • Support the Research Director and Research Operations and Academic Partnerships team to foster a strong culture of collaboration and dialogue among faculty and researchers, as well as initiatives to enable professional development among faculty.
                                                            • +
                                                            • Coordinate annual reporting requirements for formal Affiliation Agreements with partner institutions.
                                                            • +
                                                            +
                                                              +
                                                            • Support a Visiting Researchers Program including review process, recruitment, and onboarding of Visiting Researchers to Vector.
                                                            • +
                                                            • With Manager, Research Services, ensure the Vector Institute’s formal agreement with CIFAR is executed, and accountability requirements and reporting metrics are delivered in an accurate and timely manner.
                                                            • +
                                                            • Other related duties as assigned.
                                                            • +
                                                            +

                                                            +

                                                            Why you should apply:

                                                            +
                                                              +
                                                            • You are passionate about growing Canada’s global leadership in AI research;
                                                            • +
                                                            • You have a range of experiences in either a research institute or university setting as well as experience in program implementation and project management;
                                                            • +
                                                            • You are highly organized and motivated to work with diverse perspectives and ideas to foster a creative and collaborative research environment for world-class AI researchers;
                                                            • +
                                                            • You believe good ideas are important, but execution is key, and you hold yourself accountable for delivering results;
                                                            • +
                                                            • You are curious and eager to challenge your comfort zone on an ongoing basis;
                                                            • +
                                                            • You are entrepreneurial and thrive in a solutions-oriented environment.
                                                            -
                                                            • Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
                                                            • Minimum of 10 years of IT experience, of which minimum 5 as a solution Experience working with integrated Enterprise systems
                                                            • Ability to work across multiple technical teams to set direction and priority
                                                            • Ability to work independently and as part of a team while demonstrating initiative and using good business acumen
                                                            • Expertise in a variety of open-source products, technologies, application and Integration frameworks.
                                                            • Expertise with web mobile application environments
                                                            • Experience in the layout and architecture planning for integrating multiple platform (mainframe, client-server, software packages with custom applications).
                                                            • Expertise with business rules engine concepts.
                                                            • Expertise in APIs, web services concepts and standards.
                                                            • Expertise in JSON, XML, XML Schema, XSL, various XML standards and web services.
                                                            • Experience in designing and implementing large server software with particular attention to security, scalability and high performance.
                                                            • Knowledge and experience with RDBMSs (DB2, MySQL, MS SQL Server, etc.)
                                                            • Experience working within multidisciplinary and collaborative environments
                                                            • Team player with effective interpersonal skills
                                                            • +

                                                              +

                                                              +

                                                              Success Measures:

                                                              +
                                                                +
                                                              • Prompt and thoughtful actions support research operations and business requirements at Vector;
                                                              • +
                                                              • Smooth running processes and tracking for PCAIS agreements;
                                                              • +
                                                              • Well-executed programming with strong stakeholder management and service delivery and,
                                                              • +
                                                              • Productive relationship management with Vector Faculty Members and its researcher community.
                                                              -
                                                              • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                                              • -
                                                              ",,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,feed-importer@jobboard.io,,,,2022-08-11T18:07:12.243Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136097230-staff-software-engineer-29778-at-air-canada,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,expired,2022-07-08T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-08-09T01:50:18.258Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              +

                                                              +

                                                              Profile of the Ideal Candidate:

                                                              -

                                                              Department Overview

                                                              -

                                                              Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                              +

                                                              The ideal candidate is hard working with great attention to detail and customer service. A strong project management skill set is vital to success in this position. In addition:

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              About this Role

                                                              -

                                                              Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                              -

                                                              As a Data Steward II, you will:

                                                                -
                                                              • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                              • -
                                                              • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                              • -
                                                              • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                              • -
                                                              • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                              • -
                                                              • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                              • -
                                                              • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                              • -
                                                              • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                              • -
                                                              • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                              • -
                                                              • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                              • -
                                                              • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                              • +
                                                              • Ability to effectively collaborate with a diverse range of individuals and perspectives across a broad range of sectors and stakeholders;
                                                              • +
                                                              • Exceptional communication and organizational skills as you work with multiple stakeholders and concurrent priorities;
                                                              • +
                                                              • High attention to detail as it relates to contractual and complex reporting requirements;
                                                              • +
                                                              • 2+ years of strong, practical real-world experience in roles that have included project delivery, program implementation, policy analysis, and stakeholder coordination;
                                                              • +
                                                              • Experience that provides strong knowledge of an academic research environment is a strong asset;
                                                              • +
                                                              • You have a data-driven mindset and the ability to translate data into actionable insights with a keen eye for detail and an ability to quickly identify and troubleshoot problems that arise.
                                                              • +
                                                              +

                                                              +

                                                              How to Apply

                                                              +

                                                              +

                                                              Please address applications (cover letter and resume) to Sameera Ali, Talent Acquisition Specialist, using the link provided. The deadline for submission is August 16, 2022.

                                                              +

                                                              +

                                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                              +
                                                              ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=203&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-08-27T13:54:00.000Z,False,0,0,24,https://talenthub.vectorinstitute.ai/jobs/139967662-research-services-officer-research-toronto-ontario-at-vector-institute,,expired,2022-07-28T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +f86570bc-0dee-4790-9c2d-a5e0f08c19f5,139967660,Vector Institute,"Programs Officer Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-07-28T07:06:02.973Z,"
                                                              +

                                                              The Vector Research Operations & Academic Partnerships team is seeking a dynamic and action-oriented individual in the role of Programs Officer to execute programming for Faculty Affiliates, graduate students, and alumni in AI.

                                                              +

                                                              +

                                                              Reporting to the Manager, Research Programs, and working closely with the Program Manager, Student Engagement, the incumbent will coordinate research and career development opportunities for a growing pool of students and affiliated members specializing in AI.

                                                              +

                                                              +

                                                              Key Responsibilities:

                                                              +
                                                                +
                                                              • Build strong connections with students in Vector-recognized master’s programs and AI researchers about the programming and resources offered at Vector through initiatives such as orientation presentations, attendance at student facing events such as conferences, etc.
                                                              • +
                                                              • Coordinate satellite/outreach events across Ontario to connect with Faculty Affiliates, graduate students, Postdoctoral Fellows, and alumni in different communities.
                                                              • +
                                                              • Provide support for career and recruitment programming for AI students
                                                              • +
                                                              • Work with undergraduate AI clubs across the province to support student initiatives, such as conference sponsorship, securing speakers for club events etc.
                                                              • +
                                                              • In partnership with the Events Team, develop and build on events to bring together and showcase the strength of the research community; such as an annual research symposium, graduate visit day, and Deep Learning and Reinforcement Learning Summer School.
                                                              • +
                                                              • Support the implementation and ongoing improvement of multiple programs that contribute to the advancement of the Vector Institute\'s Al research agenda, such as the Faculty Affiliate Program and Faculty Affiliate Researcher Program.
                                                              • +
                                                              • Help establish an alumni program to connect a growing cadre of alumni to Vector programs.
                                                              • +
                                                              • Other related duties as assigned.
                                                              • +
                                                              +

                                                              +

                                                              Why you should apply:

                                                              +

                                                              +
                                                                +
                                                              • You are passionate about growing Canada’s global leadership in AI research;
                                                              • +
                                                              • You have a range of experiences in student programming and community building and want to apply this to supporting a growing AI ecosystem;
                                                              • +
                                                              • You are highly organized and motivated to work with diverse perspectives and ideas to foster a creative and collaborative research environment for world-class AI researchers;
                                                              • +
                                                              • You believe good ideas are important, but execution is key, and you hold yourself accountable for delivering results;
                                                              • +
                                                              • You are curious and eager to challenge your comfort zone on an ongoing basis;
                                                              • +
                                                              • You are entrepreneurial and thrive in a solutions-oriented environment.
                                                              • +
                                                              +

                                                              +

                                                              Success Measures:

                                                              +

                                                              +
                                                                +
                                                              • Strong, growing, and engaged student and alumni network;
                                                              • +
                                                              • Top of mind awareness of Vector’s student and researcher programming;
                                                              • +
                                                              • Excellent relationships with university student clubs and other organizations;
                                                              • +
                                                              • Well-executed programming with strong stakeholder management and service delivery
                                                              • +
                                                              • Productive relationship management with the researcher community.
                                                              +

                                                              +

                                                              PROFILE OF THE IDEAL CANDIDATE

                                                              +

                                                              +

                                                              The ideal candidate is hard working with great attention to detail and customer service. A strong project management skill set is vital to success in this position. In addition:

                                                              +

                                                              +
                                                                +
                                                              • You are outgoing and derive a high degree of satisfaction connecting with students and other stakeholders and strengthening a sense of community.
                                                              • +
                                                              • You are a captivating and engaging presenter.
                                                              • +
                                                              • You have experience working with students in a post-secondary environment or similar environment.
                                                              • +
                                                              • You have strong time management skills with a demonstrated ability to work with a diverse group of individuals in a team environment (e.g., graduate students, Faculty members, senior external researchers, leadership teams, operations staff, and graduate students), maintaining confidentiality and providing all with a trusted, respectful point of contact.
                                                              • +
                                                              • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                              • +
                                                              • You possess a positive attitude, integrity, a sense of humour, are tactful, and bring positive energy and outlook to a not-for-profit corporate culture.
                                                              • +
                                                              • You have excellent verbal and written English communication skills.
                                                              • +
                                                              • You have strong Excel skills and are comfortable picking up and learning new technologies.
                                                              • +
                                                              • Familiarity with GSuite or the Microsoft Suite of applications, Eventbrite, WordPress, and Zapier would be an asset.
                                                              • +
                                                              +

                                                              +

                                                              HOW TO APPLY

                                                              +

                                                              +

                                                              Please address applications (cover letter and resume) to Sameera Ali, Talent Acquisition Specialist, using the link provided. The deadline for submission is August 16, 2022.

                                                              +

                                                              +

                                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                              +
                                                              ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=202&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-08-27T13:53:00.000Z,False,0,1,26,https://talenthub.vectorinstitute.ai/jobs/139967660-programs-officer-research-toronto-ontario-at-vector-institute,,expired,2022-07-28T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +ee2f509e-4e69-49aa-916f-f4c7ced1e4c4,144294665,Omers,"Student Analyst, Trading (Winter 2023, 4 months)",on_site,"Ontario, Canada",2022-08-15T07:35:07.032Z,"
                                                              OMERS Capital Markets manages the public markets investment portfolio of bonds, currencies, and other interest-bearing assets, as well as publicly traded equities and commodities in Canadian and global financial markets. With a team of approximately 80 dedicated investment professionals, OMERS Capital Markets strives to achieve the highest, most consistent returns commensurate with the risk profile of the OMERS Fund and its other principal objectives. The OMERS Capital Markets\' team is distinguished by its diversity in expertise and experience and its commitment to superior performance.

                                                              +

                                                              +
                                                              +

                                                              Job Responsibilities:

                                                              +
                                                              • Developing trading analytics, tools and processes involving large data sets from a wide variety of sources, structuring a SQL database

                                                              +
                                                              +
                                                                +
                                                              • Communicating and working regularly with traders, portfolio managers, internal and external managers, and operations staff to gain a holistic view and context in developing applications

                                                              • +
                                                              • Preparing reports, evaluations and analyses providing insight into the business of trading and investment execution decisions

                                                              • +
                                                              +

                                                              -

                                                              Requirements

                                                              -
                                                              -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              +
                                                              +

                                                              You Should Apply If:

                                                              +
                                                              • Currently pursuing an undergraduate degree in Engineering, Computer Science, Math, Business or Economics

                                                              +
                                                              +
                                                                +
                                                              • Excellent programming skills including knowledge of VBA, SQL and Power BI (knowledge of other languages such as C# or Python is an asset)

                                                              • +
                                                              • Experience working with data including strong knowledge of Excel and MatLab skills preferred

                                                              • +
                                                              • Interest and knowledge of global financial and capital markets

                                                              • +
                                                              • Strong oral and written communication skills and highly developed interpersonal and relationship management skills to communicate with leaders across Capital Markets

                                                              • +
                                                              • Excellent analytical skills and a high attention to detail

                                                              • +
                                                              +
                                                              +

                                                              +

                                                              What’s In It For You?

                                                              +

                                                              As a Student Analyst, Trading, at OMERS Capital Markets, you’ll be part of a multi-asset class trading team, where you’ll develop and grow your understanding of investment markets and the instruments used by portfolio managers across asset classes. Our culture is one of a kind. We get stuff done and have fun doing it. We take great pride in contributing to the communities where we live. You can also expect:

                                                              +
                                                              • The opportunity to be part of the student community at OMERS & Oxford

                                                              +
                                                              +
                                                                -
                                                              • Undergraduate degree or technical certificate
                                                              • -
                                                              • Seven (7) or more years relevant experience
                                                              • -
                                                              • Skill in using software tools, applications, data analysis methods
                                                              • -
                                                              • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                              • +
                                                              • An orientation program to set you up for success during your work term!

                                                              • +
                                                              • Networking and educational session with different leaders across the business

                                                              +

                                                              +

                                                              IMPORTANT: Application Instructions:

                                                              +

                                                              To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                              +

                                                              +

                                                              Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                              +
                                                              +

                                                              -

                                                              Hours

                                                              -
                                                              37.5

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-16T01:55:19.811Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/142721313-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -4a96a1bf-59a0-4f34-9962-5932e1d33584,137266392,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-07-14T21:07:05.202Z,"
                                                              +

                                                              +

                                                              Our story:

                                                              +

                                                              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                              +

                                                              +

                                                              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                              +

                                                              +

                                                              +

                                                              Vaccination Policy

                                                              +

                                                              +

                                                              At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                              +
                                                              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student-Analyst--Trading--Winter-2023--4-months-_JR-3689,feed-importer@jobboard.io,,,,2022-08-29T07:40:08.477Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/144294665-student-analyst-trading-winter-2023-4-months-at-omers,,expired,2022-08-15T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +274ea886-35ed-4967-963d-bfd1529b9a73,145822825,TD Bank Group,"Manager, Analytics Product Owner",on_site,"Toronto, ON",2022-08-23T01:51:05.883Z,"

                                                              Company Overview

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              @@ -36557,773 +34604,849 @@ c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_

                                                              Department Overview

                                                              -

                                                              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                              -

                                                              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                              -

                                                              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                              +

                                                              What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                              +

                                                              We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                              Job Description

                                                              -

                                                              Delivery

                                                              -
                                                                -
                                                              • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                              • -
                                                              • Build complex statistical models that learn from and scale to petabytes of data.
                                                              • -
                                                              • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                                              • -
                                                              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                              • -
                                                              • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                              • -
                                                              • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                                              • -
                                                              -

                                                              Expertise & Leadership

                                                              +

                                                              +

                                                              About this Role

                                                              +

                                                              You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                              +

                                                              We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                              +

                                                              +

                                                              As the Manager, Analytics & Insights you will:

                                                                -
                                                              • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                              • -
                                                              • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                                              • -
                                                              • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                                              • -
                                                              • Communication and Stakeholder Management
                                                              • -
                                                              • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                                              • -
                                                              • Advanced communication, business acumen and stakeholder management competencies
                                                              • -
                                                              • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                                              • -
                                                              • Exceptional collaborator in a high-interaction environment
                                                              • -
                                                              • Foresee needs from business partners to prescribe effective solutions
                                                              • -
                                                              • Leverage empirical evidence and facts to influence/support decision making
                                                              • -
                                                              • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                                              • -
                                                              • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                                              • +
                                                              • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                              • +
                                                              • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                              • +
                                                              • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                              • +
                                                              • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                              • +
                                                              • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                              • +
                                                              • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                              • +
                                                              • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                              • +
                                                              • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                              • +
                                                              • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                              • +
                                                              • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                              • +
                                                              • Set operational team direction, working in partnership to execute on common goals
                                                              • +
                                                              • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                              • +
                                                              • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                              • +
                                                              • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                              • +
                                                              • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                              • +
                                                              • Support execution with excellence on key initiatives/programs
                                                              • +
                                                              • Design effective test and learn for various programs or scenarios
                                                              • +
                                                              • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                              • +
                                                              • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                              • +
                                                              • Present insights back to executive leaders / business partners to drive strategic improvement

                                                              Requirements

                                                              -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              +What can you bring to TD?

                                                              +

                                                              Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                              • Ability to translate business requirements into technical and analytical tasks
                                                              • -
                                                              • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                                              • -
                                                              • Technical understanding and critical thinking to challenge status quo
                                                              • -
                                                              • Strong problem-solving skills, mathematical and data literacy
                                                              • -
                                                              • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                                              • -
                                                              • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                                              • -
                                                              • Demonstrated experience in data transformation and data manipulation.
                                                              • -
                                                              • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                                              • -
                                                              • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                                              • -
                                                              • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                                              • -
                                                              • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                                              • -
                                                              • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                                              • -
                                                              • Experience with machine learning including supervised and unsupervised models.
                                                              • +
                                                              • Undergraduate degree or technical certificate
                                                              • +
                                                              • Seven (7) or more years relevant experience

                                                              -

                                                              Additional Information

                                                              -
                                                              -#datascientist #LI-Hybrid

                                                              -

                                                              Locations:
                                                              Toronto
                                                              Montreal
                                                              Markham
                                                              London
                                                              Ottawa

                                                              -

                                                              * L7- L10

                                                              -
                                                              -

                                                              Hours

                                                              37.5

                                                              Inclusiveness

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-17T19:10:06.609Z,False,0,14,51,https://talenthub.vectorinstitute.ai/jobs/137266392-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -c9e7ca78-3e5c-4414-a16a-b72d7b5035a7,137707889,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-07-17T05:07:04.031Z,"
                                                              -
                                                              Who are we?
                                                              -
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                              -

                                                              -
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                              -

                                                              -
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              -

                                                              -
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              -

                                                              -
                                                              Why this role?
                                                              -
                                                              This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                                              -

                                                              -
                                                              -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                                              -
                                                              -

                                                              As a Software Engineer, you will:

                                                              -
                                                                  -
                                                                • Build model inference framework and infrastructure.
                                                                • -
                                                                • Build model production pipeline tools.
                                                                • -
                                                                • Integrate various third party model runtimes.
                                                                • -
                                                                • Build model performance profiling tools.
                                                                • -
                                                                • Optimize frameworks and improve system design.
                                                                • -
                                                              -
                                                              -

                                                              You may be a good fit if you have:

                                                              -
                                                                  -
                                                                • Extensive software engineering experience writing production-quality code.
                                                                • -
                                                                • Experience optimizing systems and tools.
                                                                • -
                                                                • Basic understanding of machine learning workflow.
                                                                • -
                                                                • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                                                • -
                                                              -
                                                              -
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              -

                                                              -
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              -

                                                              -
                                                              Our Perks:
                                                              -
                                                              🤝 An open and inclusive culture and work environment
                                                              -
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              -
                                                              🍽 Free daily lunch
                                                              -
                                                              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                              -
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                              -
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              -
                                                              🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                              -
                                                              ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                              -

                                                              -
                                                              #LI-Remote
                                                              -
                                                              ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-08-17T19:14:02.688Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/137707889-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-07-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -69a43b52-18c2-4333-842d-1e0e94f16eea,144853702,EY,Senior - Data Governance and Strategy - Toronto,on_site,Toronto,2022-08-18T04:44:03.009Z,"

                                                              Senior - Data Governance and Strategy - Toronto

                                                              -
                                                              Location: Toronto
                                                              -
                                                              Other locations: Primary Location Only
                                                              -
                                                              Date: Sep 4, 2022
                                                              -

                                                              At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/16478126/manager-analytics-product-owner-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-29T17:05:00.000Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/145822825-manager-analytics-product-owner-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16478126/manager-analytics-product-owner-toronto-ca/,expired,2022-08-23T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +81c44b47-b5ba-47ad-9d8b-dae637fdb655,140887130,KPMG,GTA - Healthcare Consultant/Senior Consultant Full Time - Management Consulting - Fall 2023,on_site,"Toronto, Canada",2022-08-02T01:52:08.181Z,"Overview

                                                              Please note that you are limited to one application during the recruitment period as we ask you to think ahead to what office and service line you are most interested in.

                                                              At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                              The opportunity:

                                                              KPMG’s Healthcare & Life Sciences Practice helps clients to address their most pressing concerns including continuously streamlining operations to unlock value, deliver bottom-line improvements and enhance quality and service levels.

                                                              Our Healthcare & Life Sciences practice is looking for a Full-Time Consultant/Senior Consultant to join our GTA team starting Fall (September) 2023 to support operations improvement, care system re-design, digital health and workforce engagements working directly with senior leadership and clients across the Healthcare industry. Positions are available in the following service lines:

                                                              • Operations

                                                              What you will do

                                                                +
                                                              • +Working with senior KPMG leaders to enhance and working cross-functionally within the Management Consulting practice to integrate the full health and life sciences service offerings
                                                                  +
                                                                • Operational Excellence
                                                                • +
                                                                • Digital Health
                                                                • +
                                                                • Care System Redesign (large scale transformation such as policy, shared services, organizational redesign / restructuring, etc.)
                                                                • +
                                                                • Workforce
                                                                • +
                                                                • Advanced Analytics
                                                                • +
                                                                +
                                                              • +
                                                              • +Support clients to realize and achieve strategic objectives through potential initiatives such as:
                                                                  +
                                                                • Cost-Optimization / Cost Take-Out
                                                                • +
                                                                • Clinical operational service delivery reviews and redesign
                                                                • +
                                                                • Health services and systems planning
                                                                • +
                                                                • Workforce optimization
                                                                • +
                                                                • Clinical Program Reviews and assessment
                                                                • +
                                                                • Clinical Process Redesign across the care continuum
                                                                • +
                                                                • Care transformation through digital strategy and enablement
                                                                • +
                                                                • Digital ecosystem and infrastructure modernization
                                                                • +
                                                                • Clinical Information System implementation support and assurance
                                                                • +
                                                                +
                                                              • +
                                                              • Drive business development through various activities including proposals, network events and other key activities
                                                              • +
                                                              • Travel may be required when safe to do so
                                                              • +

                                                              What you bring to the role

                                                              FOR CONSULTANT LEVEL:

                                                                +
                                                              • +You are enrolled in a university degree program (we will be considering candidates from a spectrum of programs such as, but not limited to, health informatics, health administration, business, commerce, science, engineering, arts). Candidates graduating between December 2022 and August 2023 should apply. +
                                                              • +
                                                              • You are a highly motivated individual with an entrepreneurial drive and enthusiasm to take on a variety of challenges and opportunities
                                                              • +
                                                              • You have a strong academic record
                                                              • +
                                                              • You have the ability to work independently without supervision and have a strong sense of personal accountability
                                                              • +
                                                              • You are a self-starter who thrives working in a dynamic, fast paced environment
                                                              • +
                                                              • You have strong analytical problem-solving skills with the ability to clearly identify and define problems, as well as develop creative solutions to address client requirements
                                                              • +
                                                              • You have excellent communication skills, both written and verbal, with the ability to communicate with client stakeholders in a way that is honest, consistent, and clear
                                                              • +
                                                              • You excel in a collaborative team environment to execute on quality project deliverables
                                                              • +
                                                              • Knowledge of the healthcare system in Canada including healthcare policies, healthcare technologies, health system design, and service delivery models and trends is considered a strong asset
                                                              • +
                                                              • Experience with operations improvement is considered a strong asset
                                                              • +
                                                              • Experience with data analytics and analysis is considered a strong asset
                                                              • +

                                                              Consultant usually join Management Consulting coming from an undergraduate degree or Master’s degree with less than 2 year’s work experience. Those coming from advanced degrees including MBAs, PhDs, MD, JD are encouraged to evaluate if a Senior Consultant or Consultant position is best for them.

                                                              FOR SENIOR CONSULTANT LEVEL:

                                                                +
                                                              • You are enrolled in a university degree program (we will be considering candidates from a spectrum of programs such as, but not limited to, health informatics, health administration, business, commerce, science, engineering, arts). Candidates graduating between December 2022 and August 2023 should apply.
                                                              • +
                                                              • You have 3-5 years of professional experience in healthcare and life sciences operational excellence, management consulting, strategy or policy development
                                                              • +
                                                              • Healthcare operations experience in relevant roles such as health informatics, health administration, clinical program management, policy development, regional health system leader and/or clinical experience is considered a strong asset and/or preferred 
                                                              • +
                                                              • Strong knowledge of the healthcare system in Canada is preferred, including healthcare policies, healthcare technologies, health system design, and service delivery models and trends 
                                                              • +
                                                              • You have experience with operations improvement including strong clinical workflows and operational processes across the care continuum 
                                                              • +
                                                              • +LEAN and other Process Redesign experience supported bycurrent and relevant experience leading process redesign engagements in the last 5 years is an asset  +
                                                              • +
                                                              • Strong Project and Program management experience to support results is preferred 
                                                              • +
                                                              • You have experience with data analytics and analysis to support all deliverables associated with operational excellence and process redesign 
                                                              • +
                                                              • You have experience leading and managing teams including training, coaching and mentoring to build internal capabilities 
                                                              • +
                                                              • Excellent communication skills, both written and verbal, with strong presentation skills 
                                                              • +
                                                              • Demonstrated experience and comfort working with executive healthcare leaders including C-suites 
                                                              • +
                                                              • You have planned and tracked projects, working with large data sets, and making data-driven analytical decisions. You can deliver training and coaching to employees at all levels of the client organization to build internal capabilities. You have superior communication skills, both written and verbal, with the ability to communicate with client stakeholders, work closely in a collaborative team environment and lead teams and project deliverables. 
                                                              • +

                                                              KEYS TO YOUR SUCCESS

                                                                +
                                                              • Passion for delivering high quality services and achieving client satisfaction
                                                              • +
                                                              • Thrives in challenging environments
                                                              • +
                                                              • Excellent interpersonal skills and demonstrated ability to work effectively in teams, as demonstrated by strong internal or client references
                                                              • +

                                                              All applications must be received no later than Thusday September 8th at 11:59pm ET. Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and should include:

                                                                +
                                                              • Cover letter
                                                              • +
                                                              • Resume
                                                              • +
                                                              • Electronic copy of your most recent transcript and/or GPA
                                                              • +
                                                              • Other relevant documents (i.e. GMAT score)
                                                              • +

                                                              KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                              Providing you with the support you need to be at your best

                                                              For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                              Our Values, The KPMG Way

                                                              Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                              KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                              For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                              If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                              ",,https://careers.kpmg.ca/students/jobs/16531?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-03T13:41:56.775Z,False,0,3,37,https://talenthub.vectorinstitute.ai/jobs/140887130-gta-healthcare-consultant-senior-consultant-full-time-management-consulting-fall-2023-at-kpmg,https://careers.kpmg.ca/students/jobs/16531?lang=en-us,expired,2022-08-02T01:52:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +f1456cd5-ee52-4435-b9f0-d0bb52ec7693,153373077,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2022-09-26T15:52:53.508Z,"

                                                              Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                                                              +

                                                              Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

                                                              +

                                                              Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

                                                              +

                                                              Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

                                                              +

                                                              As a machine learning scientist, you will

                                                              +
                                                                +
                                                              • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                              • +
                                                              • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                              • +
                                                              • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                              • +
                                                              • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                                                              • +
                                                              +

                                                              Required Qualifications

                                                              +
                                                                +
                                                              • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                              • +
                                                              • Strong background in machine learning
                                                              • +
                                                              • 5+ years of research experience with publication record
                                                              • +
                                                              • Proven track record of applying machine learning to solve real-world problems
                                                              • +
                                                              +

                                                              Preferred Qualifications

                                                              +
                                                                +
                                                              • Experience with deep learning and/or collaborative filtering
                                                              • +
                                                              • Hands on experience in software systems development and SaaS applications
                                                              • +
                                                              • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                              • +
                                                              • Experience using GPUs for accelerated deep learning training
                                                              • +
                                                              • Familiarity with AWS
                                                              • +
                                                              +

                                                              Benefits

                                                              +
                                                                +
                                                              • Entrepreneurial and inclusive culture
                                                              • +
                                                              • Excellent health coverage
                                                              • +
                                                              • Four weeks paid vacation
                                                              • +
                                                              • Catered lunches twice a week over machine learning talks
                                                              • +
                                                              • Opportunities to collaborate with faculty at the Vector Institute
                                                              • +
                                                              ",careers@layer6.ai,,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2022-10-26T15:53:07.971Z,False,4,0,316,https://talenthub.vectorinstitute.ai/jobs/153373077-machine-learning-scientist-at-layer-6,,expired,2022-09-26T15:52:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,PhD,New Posting, +5475ca85-3a7e-4cb6-ad5f-8226bd157be7,153179647,TELUS,"Senior Project Manager, Data Engineering",on_site,"Ontario, Canada",2022-09-25T07:35:04.837Z,"
                                                              +
                                                              +

                                                              Description

                                                              +
                                                              +


                                                              Join our team and what we\'ll accomplish together

                                                              -

                                                              The opportunity

                                                              We are looking for a Senior Consultant, Data Governance and Strategy who will be joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients’ businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else. We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc. to lead and implement leading - edge data management and strategy projects.

                                                              -

                                                              Your key responsibilities

                                                              -
                                                              • Perform Data Management and Governance reviews, Data Maturity assessments
                                                              • Develop, and implement plans that will roll out the Data Management and Governance programs within the client organization
                                                              • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                                              • Perform gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                                              • Assist with implementation of the Data Management and Governance programs within the client organization
                                                              • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                                              • Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                                              • Develop our people through coaching, talent development, recruitment, and formal performance management
                                                              • -Work with the Data & Analytics (D&A) team to develop thought leadership in the Data Management space through collaborating with EY’s internal resources, participating in industry events, etc.
                                                              • +

                                                                We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                                +

                                                                We are searching for a talented candidate to become our team’s Sr. Project Manager, Data Engineering. Reporting to the Director – Data Engineering Platforms, you will lead and deliver data driven technology projects in collaboration with the Data Engineering Platforms team. Our team is responsible for enabling, enriching and democratizating data for TELUS in order to support many business units across the organization drive revenue, realize cost savings & efficiencies and to improve the customer experience via the following major workstreams:

                                                                +

                                                                +
                                                                  +
                                                                • Master Data Management
                                                                • +
                                                                • Revenue Generating Unit Reporting
                                                                • +
                                                                • Usage and Revenue Reporting
                                                                • +
                                                                • Consumer and Business customer interactions
                                                                • +
                                                                • Data Lake and Oracle DB migration to the Google Cloud Platform (GCP).
                                                                -

                                                                Skills and attributes for success

                                                                -
                                                                • Be self-motivated and passionate about data strategy, management, and governance
                                                                • Ability to meet deadlines and manage project delivery
                                                                • Superior communication and interpersonal skills
                                                                • -Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                                                • +


                                                                  We work with internal and external partners to develop new data products and services and provide the highest tier of support for our enterprise grade data pipelines to GCP for TELUS. We continuously strive to improve the reliability of our data and the overall GCP platform through technology innovations and the latest SRE best practices.

                                                                  +

                                                                  What you’ll do

                                                                  +
                                                                    +
                                                                  • Develop and implement roadmaps that provide a consolidated view including updates, delivery plans, compiling financial forecasts, tracking actuals, managing purchases, tracking material.
                                                                  • +
                                                                  • Work closely with technical teams on the end to end delivery of customer facing features and content.
                                                                  • +
                                                                  • Managing the overall portfolio budget (CAPEX & OPEX) by monitoring expenditures to ensure costs stay within the approved budgeted amount
                                                                  • +
                                                                  • Gathering and analyzing financial data to identify areas for improvement and to keep projects on budget and on time.
                                                                  • +
                                                                  • Manage infrastructure deployment and software development projects.
                                                                  • +
                                                                  • Partner with internal and external teams to deliver on strategic initiatives.
                                                                  • +
                                                                  • Balance day to day workload with the demands of a fast-paced Agile delivery team.
                                                                  • +
                                                                  • Facilitate and maintain relationships between organization and vendors/partners.
                                                                  • +
                                                                  • Contribute to the establishment of a common set of practices, tools and templates for portfolio, program, and project-level management and ensure standards are being followed.
                                                                  -

                                                                  To qualify for the role, you must have

                                                                  -
                                                                  • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                                  • Experience working within Financial Services /Retail/Oil and Gas in a data management related role
                                                                  • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                                  • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                                                  • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                                                  • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                                                  • Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
                                                                  • Experience of Agile and traditional SDLC delivery methodologies
                                                                  • Strong analytical and problem-solving skills
                                                                  • +
                                                              +
                                                              +
                                                              +

                                                              Qualifications

                                                              +
                                                              +

                                                              What you bring

                                                              +

                                                              +
                                                                +
                                                              • 3-5 years of technical project management experience delivering IT Projects on Time, on Budget and with Quality.
                                                              • +
                                                              • Familiarity with Scrum, SAFe agile frameworks to manage product delivery.
                                                              • +
                                                              • Experience working with product owners to identify skill-sets and ensure backlog completeness including estimates.
                                                              • +
                                                              • Understanding of Big Data, Data Architecture, Informatica ETL tools and Google Cloud Platform products and services.
                                                              • +
                                                              • Skilled in using JIRA, Confluence, Google Suite, Fieldglass and SAP.
                                                              • +
                                                              • Manage project schedules, partners & vendors identifying risks and clearly communicating goals to project stakeholders.
                                                              • +
                                                              • Ability to foster collaborative working relationships with internal and external teams through leadership, embracing diversity and introducing new ideas
                                                              • +
                                                              • Skillful in problem-solving and resolving issues creatively and always through a customer lens.
                                                              • +
                                                              • Innovative and out of the box thinking - you are curious and never stop learning.
                                                              • +
                                                              • Ability to manage key deliverables, project status reporting, excellent communication and presentation skills as part of an extended project team and committed to working with engineers, architects and product managers.
                                                              • +
                                                              • Demonstrated ability to learn, both complex technical concepts and end to end business processes.
                                                              • +
                                                              • Flexible in managing ambiguity, uncertainty and changing priorities.
                                                              • +
                                                              • Bachelor\'s degree in Technology, Engineering, Business or other technical disciplines.
                                                              -


                                                              Ideally, you’ll also have

                                                              -
                                                              • Prior consulting experience
                                                              • Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support
                                                              • Project management and process development expertise in client serving roles
                                                              • Strong organizational and time-management skills
                                                              • Ability to lead teams and take accountability for delivery
                                                              • +

                                                                +

                                                                Great-to-haves

                                                                +
                                                                  +
                                                                • PMP, Agile, CSM certifications.
                                                                • +
                                                                • Project Management experience in software automation, cloud migrations, hardware deployments & data analytics.
                                                                • +
                                                                +
                                                              +
                                                              +
                                                              ",,https://careers.telus.com/job/Toronto-Senior-Project-Manager%2C-Data-Engineering-ON/561156817/,feed-importer@jobboard.io,,,,2022-10-26T17:14:58.256Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/153179647-senior-project-manager-data-engineering-at-telus,,expired,2022-09-25T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +c00c41c6-3db7-4453-8939-5a934cd8bc4c,157403801,RBC,"Manager, Retail Credit Cards Strategy & Analytics",on_site,"Toronto, ON, Canada",2022-10-17T17:12:05.831Z,"
                                                              +

                                                              Come Work with Us!

                                                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                              +

                                                              Job Title

                                                              Manager, Retail Credit Cards Strategy & Analytics

                                                              +

                                                              +

                                                              Job Description

                                                              +

                                                              +

                                                              What is the opportunity?

                                                              +

                                                              The RBC Credit Strategy team is hiring a Manager, Retail Credit Cards Strategy & Analytics. You will use advanced analytics to develop credit strategies to grow RBC revenue and manage risk to ultimately optimize portfolio profitability. This includes experimental design, machine learning, profitability modelling, data mining and analytics. The successful candidate will be responsible to take initiatives through the various phases of ideation, analysis, recommendation for approval and implementation.

                                                              +

                                                              +

                                                              +

                                                              What will you do?

                                                              +
                                                                +
                                                              • Use data mining, profitability modelling and business intuition to inform lending decisions for cards credit programs such as Line Management and Authorization

                                                              • +
                                                              • Acquire, transform and summarize data using both traditional database tools and cutting edge big data technologies

                                                              • +
                                                              • Leverage data driven assumptions to model out financial outcomes of credit strategies

                                                              • +
                                                              • Generate learnings to enhance credit strategies using Design of Experiments (DOE), Foundational Testing, Challenger/Champion and other testing methodologies

                                                              • +
                                                              • Develop compelling presentations to implement recommendations based on model results

                                                              • +
                                                              • Lead end-to-end stakeholder engagement with senior management across risk management, product, operations and other groups

                                                              • +
                                                              • Ensure the successful implementation and ongoing integrity of strategies and decision rules within appropriate systems

                                                              • +
                                                              • Measure true outcomes against expectations, driving continuous improvement and learnings from findings

                                                              • +
                                                              +

                                                              +

                                                              +

                                                              What do you need to succeed?

                                                              +

                                                              Must-have

                                                              +
                                                                +
                                                              • Expert problem solving skills including understanding of financial modelling

                                                              • +
                                                              • Proficient in SQL, Excel, SAS, Word, and PowerPoint

                                                              • +
                                                              • Experience with modern analytical tools and technology stacks; Python, GitHub, AWS, HDFS, etc.

                                                              • +
                                                              • Experience with Data Visualization tools such as Python (Matplotlib, Plotly, Seaborn) and Tableau

                                                              • +
                                                              • Ability to design and deliver compelling presentations to senior management and other stakeholders

                                                              • +
                                                              • Strong communication skills and ability to simplify and explain complex technical concepts

                                                              • +
                                                              • Ability to develop effective and collaborative relationships (e.g. with stakeholders, credit bureaus, and remote teams)

                                                              • +
                                                              • Demonstrated abilities for critical thinking and numerical analysis

                                                              • +
                                                              • University degree in a quantitative field of study (e.g. statistics, engineering, economics, finance, computer science, data science or science)

                                                              -


                                                              What we look for

                                                              We’re interested in natural leaders with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you have a genuine passion for helping businesses achieve their full potential, this role is for you.

                                                              -

                                                              What EY offers

                                                              At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                              -

                                                              We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                              -
                                                              • Support and coaching from some of the most engaging colleagues in the industry
                                                              • Learning opportunities to develop new skills and progress your career
                                                              • The freedom and flexibility to handle your role in a way that’s right for you
                                                              • +

                                                                +

                                                                Nice-to-have

                                                                +
                                                                • Experience with credit risk

                                                                +

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, fair compensation, commissions, and stock where applicable

                                                                • +
                                                                • Leaders who help your development through coaching and managing opportunities

                                                                • +
                                                                • Ability to make a difference and lasting impact

                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                -


                                                                EY Way of Work and your health and safety

                                                                EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                                                -

                                                                -

                                                                If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                                The exceptional EY experience. It’s yours to build.

                                                                -

                                                                -

                                                                EY | Building a better working world

                                                                -

                                                                -

                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                                                -

                                                                -

                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                                                -

                                                                -

                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                              ",,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,feed-importer@jobboard.io,,,,2022-09-13T04:49:04.265Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/144853702-senior-data-governance-and-strategy-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,expired,2022-08-18T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -fed77219-3d6e-4130-93ee-8245a95fbc56,143593890,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-08-11T20:19:08.106Z,"

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Requisition ID: 152650

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -

                                                              -

                                                              Purpose:

                                                              -


                                                              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                              -


                                                              As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                              -


                                                              We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                              -

                                                              -

                                                              Key Accountabilities:

                                                              -


                                                              • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                                              • Work closely with Data Office teams to design integration solutions for data products
                                                              • Provide consulting to business units on developing conceptual, logical and physical data models
                                                              • Provide consulting to business units on developing the data solutions.
                                                              • Participate in Architecture Governance forums and contribute to solution design libraries
                                                              • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                                              • Participate in evolution of data platform, analytical and data management tools and roadmap
                                                              • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                                              -

                                                              -

                                                              -

                                                              Functional Competencies:

                                                              -


                                                              • Strong Design and hands-on experience building data management solutions
                                                              • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                                              • Experience building data solution patterns/design for the enterprise
                                                              • Strong understanding of conceptual, logical and physical data models
                                                              • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                                              • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                                              • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                              • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                              • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                                              • Experience in data project implementation lifecycles
                                                              • Ability to understand and suggest solutions to data design on an enterprise level
                                                              • Strong communication skills, both written and spoken
                                                              • Attention to details, high standards for quality.
                                                              • Desire to learn, grow yourself and your team.
                                                              • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                              • Writing and maintaining related documentation.
                                                              • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                              • Helps recruit + groom technology leaders and future leaders.

                                                              -

                                                              +

                                                              +

                                                              +

                                                              Job Summary

                                                              +

                                                              Address:

                                                              TORONTO, Ontario, Canada

                                                              City:

                                                              CAN-ON-TORONTO

                                                              Country:

                                                              Canada

                                                              Work hours/week:

                                                              37.5

                                                              Employment Type:

                                                              Full time

                                                              Platform:

                                                              Group Risk Management

                                                              Job Type:

                                                              Regular

                                                              Pay Type:

                                                              Salaried

                                                              Posted Date:

                                                              2022-10-06-07:00

                                                              Application Deadline:

                                                              2022-10-21-07:00
                                                              +

                                                              Inclusion and Equal Opportunity Employment

                                                              +

                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                              ​​​​​​​
                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                              +
                                                              +

                                                              Join our Talent Community

                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                              +
                                                              ",,https://jobs.rbc.com/ca/en/job/R-0000033077/Manager-Retail-Credit-Cards-Strategy-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-10-27T17:53:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/157403801-manager-retail-credit-cards-strategy-analytics-at-rbc,,expired,2022-10-17T17:12:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +1a993dcd-a5ea-48c3-bc0a-262acc004ad9,159059179,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2022-10-22T17:19:04.831Z,"

                                                              Req Id: 383180

                                                              -

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-14T13:12:12.956Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/143593890-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d654f42b-afc3-46e7-a78f-e1aea6d3c6e0,146893157,Scotiabank,"Drive, Data & Analytics Rotational New Graduate Program",on_site,Canada : Ontario : Toronto,2022-08-29T20:19:10.866Z,"

                                                              +

                                                              At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                                              +

                                                              If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                              +

                                                              Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                              +

                                                              This is an excellent opportunity for the right person to join our team and play a key role transforming the organization. If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                                                              +

                                                              Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                                                              -

                                                              Requisition ID: 161299

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              Key responsibilities may include:

                                                              +
                                                                +
                                                              • This is an Agile development environment, working with the latest BI visualization tools and technologies
                                                              • +
                                                              • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                                                              • +
                                                              • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                                                              • +
                                                              • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                                                              • +
                                                              • Deliver on key projects and data strategies that directly support key business drivers
                                                              • +
                                                              • Work with and opportunity to present to various management levels
                                                              • +
                                                              • Maintain and expand your knowledge of BI and current technology through training opportunities
                                                              • +

                                                              -

                                                              Drive, Data & Analytics Rotational New Graduate Program

                                                              -

                                                              -

                                                              Start Date: June 2023

                                                              -

                                                              Location: Toronto, Ontario

                                                              -

                                                              -

                                                              What can I expect from the Drive program?

                                                              -

                                                              -

                                                              The Drive program is a 24-month rotational program designed to provide recent grads passionate about technology with the opportunity to kick-start their career in Data & Analytics by learning the foundational elements of Scotiabank’s Customer Insights Data & Analytics (CID&A) business line. Across their time in program associates will rotate to three areas for 8 months each: Data, Analytics, and Technology. The specific team alignment will be based on business needs with a focus on providing you with insights and breadth of knowledge about this space.

                                                              -

                                                              -

                                                              Through the program you will learn about end-to-end processes from model development to tech implementation and deployment. You can expect mentoring from passionate leaders in the space of Data, Analytics and Technology to support you on your journey and help guide you as you develop technical skills and understanding, setting you up for success to be a future leader in CID&A. After successfully completing the program, our goal is for you to take your learnings into a permanent role where you will continue to innovate and support all business lines at the Bank to leverage data for decision making and innovation to better serve our customers.

                                                              -

                                                              -

                                                              Is this program right for me?

                                                              -

                                                              You are graduating by June 2023 or are a recent graduate who is curious and excited to learn about continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions and tinkering with new and old technologies, ensuring you understand the process end-to-end. You thrive in an ever-changing environment and want to be a part of something BIG. You love to learn and envision yourself working for an international organization that invests in your future.

                                                              -

                                                              -

                                                              You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself someone who can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You are not afraid to roll up your sleeves to get things done!

                                                              -

                                                              -

                                                              More specifically, you have some or all of the following:

                                                              -
                                                              • Strong technical skills with Python, Java, or Scala
                                                              • Solid knowledge of SQL
                                                              • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                                              • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                                              • +

                                                                Required Competencies:

                                                                +
                                                                  +
                                                                • +You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                                                                    +
                                                                  • Business analytics / business intelligence
                                                                  • +
                                                                  • applied math,
                                                                  • +
                                                                  • computer science,
                                                                  • +
                                                                  • applied science / engineering,
                                                                  • +
                                                                  • economics/econometrics,
                                                                  • +
                                                                  • Commerce
                                                                  • +
                                                                  • management science / operations research
                                                                  • +
                                                                  • or related area
                                                                  -

                                                                  -

                                                                  How do I apply?

                                                                  -

                                                                  Please complete all three steps below:

                                                                  -
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                  3. -Complete a coding test through Codility here prior to applying though our career site. You are only allowed one attempt and the assessment must be completed individually.
                                                                  4. -
                                                                  -

                                                                  -

                                                                  Application Deadline: September 21, 2022 at 11:59PM EST

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/146893157-drive-data-analytics-rotational-new-graduate-program-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,expired,2022-08-29T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -2c8a3be8-cf13-4787-81f0-4cf928096671,150794029,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-09-14T20:19:18.986Z,"

                                                              -

                                                              +
                                                            • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                                            • +
                                                            • You are highly analytical and understand the basic principles of working with large and complex data sets
                                                            • +
                                                            • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                            • +
                                                            • You have the ability to work with a team towards common goals
                                                            • +
                                                            • You are able to manage multiple projects and priorities.
                                                            • +
                                                            • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                                                            • +
                                                            +

                                                            +

                                                            Preferred Competencies:

                                                            +
                                                              +
                                                            • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                                            • +
                                                            • Experience with BI and data warehouse technologies
                                                            • +
                                                            • Basic working knowledge of project management steps
                                                            • +
                                                            • Experience in Telecommunications
                                                            • +

                                                            +

                                                            #EmployeeReferralProgram

                                                            -

                                                            Requisition ID: 152650

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            Adequate knowledge of French is required for positions in Quebec.

                                                            -

                                                            Purpose:

                                                            -


                                                            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                            -


                                                            As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                            -


                                                            We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                            +

                                                            Additional Information:

                                                            +

                                                            Position Type: Management
                                                            Job Status:
                                                            Regular - Full Time
                                                            Job Location:
                                                            Canada : Ontario : Mississauga
                                                            Flexible work profile :
                                                            Mobile
                                                            Application Deadline: 10/31/2022

                                                            -

                                                            Key Accountabilities:

                                                            -


                                                            • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                                            • Work closely with Data Office teams to design integration solutions for data products
                                                            • Provide consulting to business units on developing conceptual, logical and physical data models
                                                            • Provide consulting to business units on developing the data solutions.
                                                            • Participate in Architecture Governance forums and contribute to solution design libraries
                                                            • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                                            • Participate in evolution of data platform, analytical and data management tools and roadmap
                                                            • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                                            +

                                                            Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                            +

                                                            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                            -

                                                            Functional Competencies:

                                                            -


                                                            • Strong Design and hands-on experience building data management solutions
                                                            • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                                            • Experience building data solution patterns/design for the enterprise
                                                            • Strong understanding of conceptual, logical and physical data models
                                                            • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                                            • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                                            • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                            • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                            • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                                            • Experience in data project implementation lifecycles
                                                            • Ability to understand and suggest solutions to data design on an enterprise level
                                                            • Strong communication skills, both written and spoken
                                                            • Attention to details, high standards for quality.
                                                            • Desire to learn, grow yourself and your team.
                                                            • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                            • Writing and maintaining related documentation.
                                                            • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                            • Helps recruit + groom technology leaders and future leaders.

                                                            +

                                                            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                            +

                                                            Created: Canada, ON, Mississauga

                                                            +

                                                            #Talent #Indeed #Tech

                                                            +

                                                            Bell, one of Canada's Top 100 Employers.

                                                            ",,https://jobs.bell.ca/ca/en/job/BECACA383180EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-10-27T17:09:00.000Z,False,0,7,17,https://talenthub.vectorinstitute.ai/jobs/159059179-data-analyst-business-intelligence-at-bell-canada,BECACA383180EXTERNALENCA,expired,2022-10-22T17:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +99b41755-7fa9-4196-8773-10f5f5259b32,157650356,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2022-10-18T17:31:35.401Z,"
                                                            +

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            +

                                                            +

                                                            +

                                                            Job Description:

                                                            +

                                                            Do you have a passion for data? Do you like analyzing numbers to provide meaningful insights? Do you like making an impact on the business around you? A role as Data Analyst at Sun Life Financial might be right for you!

                                                            +

                                                            +

                                                            We are looking for a Data Analyst in the Business Intelligence team. The Data Analyst will support the development of new reports/tools, recurring report generation, analysis of key results, and ad hoc investigation for the Client Engagement teams, providing actionable insights to drive the business forward.

                                                            +

                                                            +

                                                            The incumbent will also provide project support, acting as an advocate for data issues as well as representing the business needs for our stakeholders. The Business Intelligence team comprises of business data analysts at various levels of increasing responsibility and scope, providing a great career path for the right candidate

                                                            +

                                                            +

                                                            What will you do:

                                                            +
                                                              +
                                                            • Work closely with business stakeholders to transform complex business problems into addressable analytical questions and queries
                                                            • +
                                                            • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives
                                                            • +
                                                            • Ensure the accurate and timely completion of all baseline reporting, ad-hoc requests and project initiatives.
                                                            • +
                                                            • Prioritize projects on a monthly basis and align with leaders of the business team
                                                            • +
                                                            • Stay abreast of Client Engagement processes and results, raising emerging trends and continuous improvement ideas to Management
                                                            • +
                                                            • Enable leaders to make timely data-driven product, market-development, and distribution decisions.
                                                            • +
                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +
                                                              +
                                                            • 3+ years’ experience in a Data Analyst or Performance Analyst role
                                                            • +
                                                            • Advanced SAS Enterprise Guide or SQL Server/ MySQL
                                                            • +
                                                            • Advanced experience with visual analytics tools e.g. Tableau
                                                            • +
                                                            • Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic
                                                            • +
                                                            • Experience/exposure to Big Data tools (i.e. Hive, Python)
                                                            • +
                                                            • Customer and results focused, with an ability to work with stakeholders to understand and act based on their needs, assess risks, and achieve a valued result
                                                            • +
                                                            • Comfortable with ambiguity and able to operate in a matrix environment with complex tasks
                                                            • +
                                                            • Proven problem solving skills with the ability to break down high-level data into easily communicated information
                                                            • +
                                                            • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment
                                                            • +
                                                            • Comfortable learning new applications and processes quickly with minimal direction
                                                            • +
                                                            • Proven client orientation, strong interpersonal skills
                                                            • +
                                                            • Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma)
                                                            • +
                                                            • Experience in assessing marketing campaigns in various channels (establishing control, measuring ROI)
                                                            • +
                                                            • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
                                                            • +
                                                            +

                                                            +

                                                            What\'s in it for you?

                                                            +
                                                              +
                                                            • Great Place to Work® Certified in Canada and the US.
                                                            • +
                                                            • Named 2021 “Best Places to Work” by Glassdoor
                                                            • +
                                                            • Canada Award for Excellence for Mental Health at Work - 2021
                                                            • +
                                                            • Flexible hybrid work model including in-country work-from-home if you prefer.
                                                            • +
                                                            • Pension, stock and savings programs to help build and enhance your future financial security
                                                            • +
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives
                                                            • +
                                                            • A friendly, collaborative, and inclusive culture
                                                            • +
                                                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
                                                            • +
                                                            • #LI-Remote
                                                            • +
                                                            +

                                                            +

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            +

                                                            +

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            +

                                                            +

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            +

                                                            +

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            +

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            +

                                                            Salary Range:

                                                            53,300/53 300 - 86,300/86 300

                                                            +

                                                            Job Category:

                                                            Advanced Analytics

                                                            +

                                                            Posting End Date:

                                                            30/10/2022
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00060999?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-10-31T17:06:00.000Z,False,0,5,32,https://talenthub.vectorinstitute.ai/jobs/157650356-data-analyst-at-sun-life-financial,,expired,2022-10-18T17:31:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +c774f624-ab81-43e0-a373-0243e214b565,159575545,Sun Life Financial,Senior Business Data Engineer,on_site,"Ontario, Canada",2022-10-24T17:33:01.756Z,"
                                                            +

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            +

                                                            +

                                                            +

                                                            Job Description:

                                                            +

                                                            +

                                                            At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                            +

                                                            +

                                                            Role Summary:

                                                            +

                                                            +

                                                            The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/150794029-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-09-14T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -5ca567f2-e04a-4f0d-9461-ffdf23f972b5,144414110,Magna International,Data Engineer,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-08-16T05:07:20.992Z,"
                                                            -
                                                            -

                                                            Role Summary

                                                            -

                                                            Magna International is looking for a strong and ambitious Data Engineer for our Analytics practice.
                                                            The Data Engineer role at Magna International will build and orchestrate synchronous and asynchronous data pipelines integrating heterogeneous business systems for both EAI and BI use cases.

                                                            -
                                                            -
                                                            -

                                                            Key Responsibilities

                                                            -
                                                            -

                                                            Builds ETL data pipelines using Talend tool portfolio and SQL code.
                                                            Models Database objects to fulfil data pipeline requirements
                                                            Designs following integrations:

                                                            -
                                                            • ETL jobs using incremental load patterns, using technologies like Change Data Capture (CDC) or Change Tracking
                                                            • Services for APIs using technologies such as REST to be consumed synchronously by client application
                                                            • Subscription based workflows triggering ETL actions based on events at source system
                                                            • Embedded mapping and casting of data from heterogenous source and target systems and formats
                                                            • -
                                                            -

                                                            Responsible for development, testing, documentation and performance of data pipelines, understanding and optimizing impact on source and target systems.
                                                            Works closely with:

                                                            -
                                                            • Business analysts, system owners to gain understanding of business processes and corporate data
                                                            • Business intelligence developers to ensure that integrations are correct and performing optimally.
                                                            • -
                                                            -

                                                            Contribute to architectural decisions to support business processes
                                                            Provide production support for data solutions

                                                            -
                                                            • Complete root cause analysis and contribute to remediation planning and implementation
                                                            • Perform data quality analysis, report data quality issues and propose solutions for data quality management
                                                            • -
                                                            -
                                                            -
                                                            -
                                                            -

                                                            Key Qualifications/Requirements

                                                            -
                                                            -

                                                            Bachelor’s in Information Technology or a related field (experience will be considered in lieu of education requirement)
                                                            3+ years of:

                                                            -
                                                            • ETL development experience with T-SQL, Talend or other graphical ETL tools (Datastage, SSIS, Informatica, Ab Initio, PowerCenter, IBM InfoSphere, Pentaho)
                                                            • SQL development, preferably in multiple database management platforms, and working with normalized relational databases and dimensional data warehouse implementation
                                                            • -
                                                            -

                                                            Ability to manage multiple projects simultaneously and deliver results in a timely manner. Ability to work independently, under pressure, and adaptable to change.
                                                            Manufacturing experience and SAP knowledge are a plus.
                                                            Familiarity with various relational and non-relational database management systems, in particular Microsoft classic and cloud ecosystem.
                                                            Architectural understanding of data hub oriented integrations as single point of orchestration.
                                                            Hands on knowledge in the design of data flows that facilitate data harvesting for automated genealogy documentation in a data catalog.
                                                            Able to work in various delivery methodologies (Agile – Scrum/SAFe, Waterfall, Kanban, etc.).
                                                            Ability to read, interpret, analyze, and communicate effectively verbally and in written form.
                                                            Familiarity with UML Sequence diagrams.
                                                            Knowledge of data integration patterns across various functions of the enterprise.
                                                            Experience with cloud-based solutions preferably on Microsoft stack.

                                                            -
                                                            • Azure Synapse
                                                            • Data Factory
                                                            • Data Lake
                                                            • -
                                                            -

                                                            Experience implementing and supporting scalable solutions, with a solid understanding of database locking escalation and other concurrency related mechanisms.
                                                            Understanding of when and how to use table partitioning and other data insertion, storage and distribution approaches.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Additional Information

                                                            -
                                                            -

                                                            Regular travel up to 25% of the time.

                                                            -

                                                            For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

                                                            -

                                                            We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Awareness. Unity. Empowerment.

                                                            -

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            -
                                                            -
                                                            ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-09-17T12:54:50.193Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/144414110-data-engineer-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/,expired,2022-08-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -2a83101a-98fe-441f-b39a-73683ae213a1,151714774,Magna International,"Senior Manager, Data & Analytics",on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-09-18T05:08:02.609Z,"
                                                            -
                                                            -

                                                            Role Summary

                                                            -
                                                            -

                                                            The Senior Manager, Data & Analytics is managing a globally distributed team of internal experts, contractors, consultants and vendors with the core mission to derive insights from data helping Magna to generate competitive advantages and improve the operational & financial performance. You will be working closely with various stakeholders across the organization to enable advanced analytics and business intelligence use cases by applying the right technology to transform data into real, tangible business value. The role is also responsible to address the growing demand for event driven integration across Magna’s heterogeneous application ecosystem.

                                                            -

                                                            -

                                                            To be successful in this role, you need to have experience leading delivery and ownership of enterprise application integration, data & analytics capabilities, and its underlying technology platforms. You will need to be comfortable engaging with numerous teams across the enterprise to align on priorities and roadmaps. You will also need to be comfortable with managing software engineering work and overseeing a large service and project portfolio.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Key Responsibilities

                                                            -
                                                            • Lead development of analytic data products, including pilots and proof of concepts.
                                                            • Execute data strategies to support various consumption patterns and identify enterprise architecture, platforms, and data infrastructure needs.
                                                            • Drive strategy & approach for data hubs, lakes, warehouses & supporting integrations architecture in a heterogeneous environment; optimizing cloud costs, ensuring re-usability to support both integrations and analytics, while driving operational efficiency, governance & security.
                                                            • Lead the team in consulting with business partners to help establish efficient analytics and business intelligence tools, frameworks, and capabilities. Educate business leaders about self-service tools and provides support for teams as they stand up internal functions.
                                                            • Enable event-driven architecture for enterprise application integration, build and operate a robust & versatile integration layer.
                                                            • Strongly participate in Magna’s Data Literacy initiative; Drive a CoE / Community for Data, BI & Analytics in collaboration with various stakeholders in the different lines of business.
                                                            • Grow and develop a full stack team responsible for delivery & support of data solution, drive strategic workforce planning to minimize reliance on third-party vendors/consultants, while increasing internal capabilities and creating robust career pathway opportunities.
                                                            • Budget management including people, software, and services.
                                                            • -
                                                            -
                                                            -
                                                            -

                                                            Education, Knowledge and Work Experience

                                                            -
                                                            • Bachelor and/or Master in Information Technology OR technical related field OR equivalent working experience.
                                                            • 7+ years of experience in delivery & support of data solutions / technology, and 5+ years as a people leader overseeing a broad range of talent across multiple work locations.
                                                            • -
                                                            -
                                                            -
                                                            -

                                                            Key Qualifications/Requirements

                                                            -
                                                            • Proven track record in building & sustaining high performing team capable of driving technical modernization efforts in parallel to delivering on business commitments.
                                                            • Strong track record of managing external vendors and service providers, including cloud cost optimization & ongoing active management.
                                                            • Experience in managing complex delivery initiatives in highly dynamic, global organization.
                                                            • Ability to thrive in a fast-paced environment across multiple time zones and locations.
                                                            • Ability to drive through directly and through influence, with agility and leadership skills which engineers recognize and respect.
                                                            • Experience designing, building & operating large Cloud-ready, scalable data solutions.
                                                            • Strong knowledge of integration design patterns and experience in working on large scale integration projects, strong understanding of Data Mesh and Data Fabrics concepts.
                                                            • Previous experience establishing data governance & security / access model in partnership with key business partners considered a strong asset.
                                                            • Hands-on experience with data & analytics technology & integration platforms.
                                                            • Excellent English language skills (written and oral).
                                                            • Solid German language skills (written and oral) is of advantage.
                                                            • -
                                                            -
                                                            -
                                                            -

                                                            Additional Information

                                                            -
                                                            -

                                                            Regular travel up to 25% of the time.

                                                            -

                                                            -

                                                            For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Awareness. Unity. Empowerment.

                                                            -

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            -
                                                            -
                                                            ",,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/151714774-senior-manager-data-analytics-at-magna-international,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/,expired,2022-09-18T05:08:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,PhD,New Posting, -173e96e0-f13f-48dd-806f-fb45ed238ead,152575721,BenchSci,Director of Data Engineering,on_site,"Toronto, Ontario /",2022-09-22T05:09:22.630Z,"
                                                            -
                                                            BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                            -

                                                            -
                                                            BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                            -
                                                            Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                            -

                                                            -

                                                            -
                                                            We are looking for a seasoned Director of Data Engineering, who lives and breathes tackling data challenges to join our growing team. This is a challenging, impactful, and highly collaborative position. Reporting to the Sr. Director of Data Engineering, Machine learning, and Bioinformatics, you will be responsible for spearheading our Data ingestion and modeling initiatives, working across a wide variety of biomedical data, and helping the team to extract scientific insights.
                                                            -
                                                            You will help the teams to translate the platform vision and define the direction to build, validate, productionize, and maintain BenchSci’s Data Pipeline. You will play a highly collaborative role to bring together the various projects data is involved in, including working BenchSci’s Machine Learning teams, Bioinformatics team, R&D team, and our teams of scientists.
                                                            -
                                                            -
                                                            -

                                                            You will:

                                                            -
                                                                -
                                                              • Develop strategy and contribute to the roadmap for our Data teams that ladder up to the wider company strategy
                                                              • -
                                                              • Collaborate with Product, Machine Learning, Project, and Software teams to establish actionable strategies related to the implementation of our data capture, ingestion, and modeling for delivery in a knowledge graph
                                                              • -
                                                              • Partner with key stakeholders across the Platform Stream including the Chief Science Officer, Chief Data Officer, and other representatives from science, bioinformatics, data engineering, as well as product management to plan, prioritize, and execute on updating and launching data initiatives in a cycle of rapid MVP testing followed by productionization following successful assessment
                                                              • -
                                                              • Lead & Grow the Data Engineering team: Grow BenchSci’s Data Engineering team, set priorities, timelines, and performance metrics as the organization scales and the number of engineers and engineering managers continues to grow
                                                              • -
                                                              • Provide Technical Leadership: be able to speak the language of engineering, have the ability to dive into a problem, and help the Engineering managers reach decisions with the data available
                                                              • -
                                                              • People first leadership: you will be directly responsible for the leadership of your engineering managers and will help them to grow and be successful in their role of managing the data teams. You will have an ability to empathize, lead with a people-first mindset, and be genuinely committed to providing thoughtful and intentional mentorship
                                                              • -
                                                              • Continuous monitoring and improvement of data pipeline performance
                                                              • -
                                                            -
                                                            -
                                                            -

                                                            You have:

                                                            -
                                                                -
                                                              • A proven track record of 5+ years in leading engineering teams to deliver exceptional user and business value
                                                              • -
                                                              • Demonstrated ability in developing, deploying, and maintaining data-focused projects and products
                                                              • -
                                                              • Exceptional written and verbal communication skills
                                                              • -
                                                              • Degree in Software Engineering, Computer Science, or equivalent
                                                              • -
                                                            -
                                                            -
                                                            -
                                                            Benefits and Perks:
                                                            -
                                                            An engaging remote-first culture
                                                            -
                                                            A competitive compensation package that includes BenchSci equity options
                                                            -
                                                            Comprehensive health and dental benefits
                                                            -
                                                            Emphasis on mental health with $2500 CAD (or equivalent in your country’s currency) for Psychologist, Social Worker, or Psychotherapist services
                                                            -
                                                            Three weeks of vacation plus an additional day for every completed year
                                                            -
                                                            Unlimited flex time to use toward sick days, personal days, religious holidays, birthdays and appointments
                                                            -
                                                            Additional time-off: 2 weeks for Winter Holidays, every other Friday in July and August, your birthday, and more!
                                                            -
                                                            Generous parental leave benefits with a top-up plan or paid time off options
                                                            -
                                                            A $2000 CAD (or equivalent in your country’s currency) Annual Learning & Development budget
                                                            -
                                                            A $1000 CAD (or equivalent in your country’s currency) work from home allowance to make your home setup perfect for you
                                                            -
                                                            A lifestyle spending account for employees to receive reimbursement for eligible expenses related to wellness, lifestyle and productivity $2500 CAD (or equivalent in your country’s currency) per year
                                                            -

                                                            -
                                                            Our Culture:
                                                            -
                                                            At BenchSci, we’re committed to cultivating an inspiring, inclusive, and equitable work environment for high performing, ego-free, self-starting individuals with a growth mindset, who enjoy the challenge of solving hard problems. We recognize that everyone here is a person first and an employee second. We want people to feel cared for and supported to bring the best versions of themselves to work and help the company achieve its mission. We believe culture is critical to success and invest accordingly.
                                                            -
                                                            We live and promote our FASTT values of Focused, Advancement with Speed, Tenacity, and Transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                            -

                                                            -
                                                            Diversity, Equity and Inclusion:
                                                            -
                                                            We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                            -

                                                            -
                                                            Accessibility Accommodations:
                                                            -
                                                            BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                            -

                                                            -
                                                            BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/152575721-director-of-data-engineering-at-benchsci,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc,expired,2022-09-22T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Director,PhD,New Posting, -332d3a66-5306-4a41-95ca-e75e59bacd22,147857731,Deloitte,"Data Engineer - GCP, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-09-02T02:46:25.332Z,"
                                                            -

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Ontario, Canada
                                                            All Available Locations: Vancouver, BC; Montreal, QC; Ottawa, ON; Toronto, ON

                                                            -

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            -

                                                            You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                            -
                                                            -
                                                            -

                                                            What will your typical day look like?

                                                            -
                                                            -

                                                            -

                                                            As a Data Engineer on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy and have a solid understanding of software development.
                                                            Specifically, in this role, you will:

                                                            -

                                                            • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                            • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                            • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                            • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                            -
                                                            -
                                                            -
                                                            -

                                                            About the team

                                                            -
                                                            -

                                                            -

                                                            Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                                                            -


                                                            Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Enough about us, let’s talk about you

                                                            -
                                                            -

                                                            You are someone with:
                                                            • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                            • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                            • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Google Cloud Platform (GCP) using Dataflow or Spark.
                                                            • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
                                                            • Experience with streaming data using Dataflow, Spark, Flink, Kafka Streams, etc
                                                            • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                            -

                                                            If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            -

                                                            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                            -
                                                            -
                                                            -
                                                            -

                                                            Why Deloitte?

                                                            -

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            -
                                                            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            • -
                                                            -


                                                            The next step is yours

                                                            -

                                                            Sound like The One Firm. For You?

                                                            -

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            -

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-10-06T13:04:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/147857731-data-engineer-gcp-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,expired,2022-09-02T02:46:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -e2105d93-097a-4484-a48e-05725a390ffe,148781280,EY,Data Scientist - Financial Crimes - Bilingual,on_site,Toronto,2022-09-06T04:44:02.372Z,"

                                                            Data Scientist - Financial Crimes - Bilingual

                                                            Location: Toronto
                                                            Other locations: Anywhere in Country
                                                            Date: 30-Sep-2022

                                                            At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                            -

                                                            -

                                                            We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

                                                            -

                                                            -

                                                            At EY, Data Scientist strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients’ biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

                                                            -

                                                            -

                                                            The opportunity

                                                            -

                                                            -

                                                            Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data and model predictive models. This provides better support for decision-making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

                                                            -

                                                            -

                                                            The Financial Crime group provides innovative approaches that enable effective, documented and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

                                                            -

                                                            The Financial Crime group offers expertise and services across four core areas of competency:

                                                            -
                                                            • Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modeling, master data management, and data rationalisation and migration.
                                                            • Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle.
                                                            • Reporting design, architecture and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design and implementation.
                                                            • -Analytics: covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
                                                            • -
                                                            -

                                                            Your responsibilities

                                                            -

                                                            -

                                                            As a Senior consultant in Data Science, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

                                                            -

                                                            Specifically, these responsibilities will be assigned to you:

                                                            -
                                                            • Analyze, manipulate, structure, validate and transform various data sources
                                                            • Produce and document analyses of various data sources
                                                            • Act as a consultant for the implementation of specialized internal data processing solutions
                                                            • Act as a consultant for the configuration of various anti-money laundering and financial crime software
                                                            • Develop filter optimization algorithms to enforce international sanctions
                                                            • -Participate in client engagements and various internal projects
                                                            • -
                                                            -

                                                            Skills & attributes for success

                                                            -
                                                            • Ability to communicate ideas clearly (spoken and written)
                                                            • Ability to provide excellent client service and manage and build strong relationships both internally and externally
                                                            • Ability to be self-sufficient within large companies (financial institutions, specifically)
                                                            • Be versatile, rigorous and curious
                                                            • Enjoy teamwork
                                                            • -Have 5-10 years’ experience in data science role
                                                            • -
                                                            -

                                                            To qualify for the role you must have:

                                                            -
                                                            • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering or a related field and approximately 3-5 years’ experience in related field. A Master’s degree is an asset.
                                                            • Strong Machine Learning, Deep Learning, and statistics background.
                                                            • Experience with large data sets using tools like SQL, Hadoop, Spark
                                                            • Advanced Programming skills in R or Python, and experience using an object-orientated programming language, such as Java, or Scala (preferred).
                                                            • Experience with model-development lifecycle, data preparation, modeling, and deployment
                                                            • Data processing such as ETL (and ideally some exposure to tools such as Ab Initio, Informatica, etc.), parsing and handling data quality-related issues
                                                            • Demonstrated strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software, and networks
                                                            • Knowledge of French and English (bilingual)
                                                            • -
                                                            -

                                                            -

                                                            Ideally, you’ll also have:

                                                            -
                                                            • Consulting experience
                                                            • Experience in other leading ETL packages (e.g. Informatica, DataStage)
                                                            • Experience with cloud technologies (Microsoft Azure, Databricks, AWS, GCP)
                                                            • Experience in Anti-money laundering/terrorist financing activities
                                                            • Experience in Fraud
                                                            • Experience in Risk Management
                                                            • Experience in Business Intelligence
                                                            • Experience in Solution Architecture
                                                            • Experience in Cyber Security
                                                            • -Experience in Business analysis/systems
                                                            • -
                                                            -

                                                            What we look for

                                                            -


                                                            We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                                                            -

                                                            -

                                                            What we offer

                                                            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                            -
                                                            • The opportunity to manage a portfolio of talent within a designated service line
                                                            • A collaborative environment where everyone works together to create a better working world
                                                            • Excellent training and development prospects, both through established programs and on-the-job training
                                                            • -An excellent team of senior colleagues, dedicated to managing and varying your workload
                                                            • -
                                                            -

                                                            Diversity and Inclusion at EY

                                                            -

                                                            -

                                                            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                            -

                                                            -

                                                            EY | Building a better working world

                                                            -

                                                            -

                                                            EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

                                                            -

                                                            -

                                                            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

                                                            -

                                                            -

                                                            Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                            ",,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,feed-importer@jobboard.io,,,,2022-10-06T13:17:53.981Z,False,0,12,62,https://talenthub.vectorinstitute.ai/jobs/148781280-data-scientist-financial-crimes-bilingual-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,expired,2022-09-06T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, -5e66d5e0-a2fd-4b0b-a8ad-db754d669a23,148752080,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-09-06T01:51:18.682Z,"
                                                            -

                                                            Company Overview

                                                            -
                                                            -

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            -

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            -
                                                            +

                                                            Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                                            +

                                                            +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                                            • +
                                                            • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                                            • +
                                                            • Ensure high level of data quality and data integrity are maintained across data sources for business

                                                            • +
                                                            • Convert complex business and technical rules into logic for data flows and data pipelines

                                                            • +
                                                            • Work with our Data Science teams to implement data products for various use cases

                                                            • +
                                                            • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                                            • +
                                                            • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                                            • +
                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +
                                                              +
                                                            • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL

                                                            • +
                                                            • 3 years experience in Pyspark and SQL

                                                            • +
                                                            • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                                            • +
                                                            • 3-5 years experience with engineering data products as input to various analytical models

                                                            • +
                                                            • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                                            • +
                                                            • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                                            • +
                                                            • Sound understanding of data modelling and a passion for analytics

                                                            • +
                                                            • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                            • +
                                                            • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                            • +
                                                            • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                                            • +
                                                            • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                                            • +
                                                            • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                                            • +
                                                            +

                                                            +

                                                            Education and Qualifications:

                                                            +
                                                              +
                                                            • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                                            • +
                                                            • Graduate degree in business or quantitative science strongly preferred

                                                            • +
                                                            +

                                                            +

                                                            Unique Requirements

                                                            +
                                                              +
                                                            • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                            • +
                                                            • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                            • +
                                                            +

                                                            +

                                                            What would be nice to have?

                                                            +
                                                              +
                                                            • Understand and Embrace Agile Operating Model

                                                            • +
                                                            • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                                            • +
                                                            • Experience working in a large financial services organization

                                                            • +
                                                            • Knowledge of fundamental statistical models & techniques

                                                            • +

                                                            -

                                                            Department Overview

                                                            -

                                                            Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                            +

                                                            What\'s In It For You?

                                                            +
                                                              +
                                                            • Great Place to Work® Certified in Canada and the US - 2022

                                                            • +
                                                            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                            • +
                                                            • Named “Best Places to Work” by Glassdoor - 2021

                                                            • +
                                                            • Canada Award for Excellence for Mental Health at Work - 2021

                                                            • +
                                                            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                            • +
                                                            • Competitive salary and bonus structure influenced by market range data

                                                            • +
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • +
                                                            • A friendly, collaborative, and inclusive culture

                                                            • +
                                                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                            • +
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                            • +

                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            About this Role

                                                            -

                                                            Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                            -

                                                            As a Data Steward II, you will:

                                                            +

                                                            +

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            +

                                                            +

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            +

                                                            +

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            +

                                                            +

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            +

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            +

                                                            Salary Range:

                                                            74,100/74 100 - 120,800/120 800

                                                            +

                                                            Job Category:

                                                            Advanced Analytics

                                                            +

                                                            Posting End Date:

                                                            28/10/2022
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Data-Engineer_JR00064435?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-10-31T17:02:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/159575545-senior-business-data-engineer-at-sun-life-financial,,expired,2022-10-24T17:33:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +31a4e556-09a0-49a6-8076-09d1b843715c,155322766,TELUS,Data/ML Engineer,on_site,"Ontario, Canada",2022-10-06T07:35:14.337Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +

                                                            +

                                                            Join our team

                                                            +

                                                            +

                                                            Join the Procurement Analytics Center of Excellence (PACE) and TELUS, and support our mission to transform the chief procurement office (CPO) into a fully digital organization where data is at the heart of every decision we make. Enable stakeholders to efficiently evolve and consume actionable insights through transformation strategies.

                                                            +

                                                            +

                                                            We are an advanced data and AI team thriving on solving business problems and supporting procurement decisions using the power of data, advanced analytics, and reliable software. We provide end-to-end support from strategy and development to deployment and monitoring of all assets, including machine learning model, Tableau dashboards, and data engineering ETLs using cutting-edge cloud technologies (e.g., Google BigQuery and GCP AI Platform), open source tools (e.g., Python, DBT, Nifi, Sklearn, NLTK, Tensorflow), and enterprise products (e.g., Tableau, GitHub, Terraform).

                                                            +

                                                            +

                                                            In achieving our goal of enabling data-driven decision-making in CPO, the PACE team is looking for an experienced data/ML engineer who can interpret the requirements of data and analytics use cases and scenarios, and drive the design and implementation of data pipelines and models to enable insights and analytics leading to better business decisions.

                                                            +


                                                            What you’ll do:

                                                            +

                                                            +

                                                            As a Data/ML Engineer in PACE’s Insight Generation team, you will be responsible for developing, maintaining, and evolving our MLOps methodology for continuous delivery and integration of our data and model assets. You are also accountable for ingesting data from various sources and validating, normalizing, and cleaning data for business use, and deploying & maintaining ML models in production. The expectation is to go above and beyond your role in working with like-minded, entrepreneurial colleagues to strengthen the availability and reliability of our data following the state-of-the-art MLOps tech stack to support our data-driven decision-making culture. In this role, you are responsible to:

                                                              -
                                                            • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                            • -
                                                            • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                            • -
                                                            • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                            • -
                                                            • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                            • -
                                                            • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                            • -
                                                            • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                            • -
                                                            • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                            • -
                                                            • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                            • -
                                                            • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                            • -
                                                            • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                            • +
                                                            • Developing, maintaining, and evolving our MLOps methodology
                                                            • +
                                                            • Design & build data extraction, loading, and transformation pipelines, and data products across on-prem and cloud platforms
                                                            • +
                                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modeling and visualization
                                                            • +
                                                            • Own, design, and build the data pipelines feeding into our machine learning models
                                                            • +
                                                            • Own and develop relationships with various internal and external teams/vendors to bring data from across the organization to our central data/ML platform in the cloud
                                                            • +
                                                            • Bring systems design experience with the ability to architect and explain complex systems interactions, data flows, standard interfaces, and APIs
                                                            • +
                                                            • Assist in the extracting, loading, transforming, cleaning, and validating of data
                                                            • +
                                                            • Develop test strategies and site reliability engineering measures for data products & solutions
                                                            • +
                                                            • Supervise or contribute to quality assurance efforts to make sure that the ingested data has and keeps the expected quality
                                                            • +
                                                            • Look proactively at opportunities to blend data across different enterprise systems to generate actionable insights that drive business value
                                                            • +
                                                            • Perform technical data stewardship tasks including metadata management, security, and privacy by design
                                                            • +
                                                            • Mentor and coach other peers at PACE and upskill stakeholders to adopt and utilize reports, dashboards, and insights to inform day-to-day decision-making
                                                            +

                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            -

                                                            Requirements

                                                            -
                                                            -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            +

                                                            +

                                                            Who you are:

                                                            +

                                                              -
                                                            • Undergraduate degree or technical certificate
                                                            • -
                                                            • Seven (7) or more years relevant experience
                                                            • -
                                                            • Skill in using software tools, applications, data analysis methods
                                                            • -
                                                            • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                            • +
                                                            • Hold PhD or Master\'s degree with a major in computer science, software engineering, or applied mathematics (or related quantitative disciplines)
                                                            • +
                                                            • Minimum 7 years of experience with SQL and database proficiency
                                                            • +
                                                            • Minimum 5 years of experience with Python
                                                            • +
                                                            • Minimum 2 years of experience with databases and data pipelines on cloud platforms
                                                            • +
                                                            • Minimum 5 years of experience using data extraction and processing technologies.
                                                            • +
                                                            • Minimum 2 years of data solution architecture and design
                                                            • +
                                                            • Prior experience with Agile and Jira
                                                            • +
                                                            • Excellent communication and presentation skills
                                                            • +
                                                            • Ability to communicate data analytics and insights to business stakeholders
                                                            • +
                                                            • Ability to work and collaborate with team members
                                                            • +
                                                            +

                                                            +

                                                            Great-to-have:

                                                            +

                                                            +
                                                              +
                                                            • Knowledge and experience with Google Cloud Platform (GCP), including Google BigQuery
                                                            • +
                                                            • GCP Professional Data Engineering certification
                                                            • +
                                                            • Experience with job scheduling platforms and Orchestration (Apache NiFi, Apache airflow)
                                                            • +
                                                            • Familiar and preferably experienced with the life cycle of machine learning model development, deployment, and operationalization in large enterprises
                                                            • +
                                                            • Familiar with software development methodologies and best practices
                                                            • +
                                                            • DevOps and MLOPs practices and tools experience
                                                            • +
                                                            • Quality Assurance & Site Reliability Engineering
                                                            • +
                                                            • Familiarity with Data Build Tool (DBT)
                                                            • +
                                                            • Knowledge and experience with SAP S4 HANA, SAP ECC is a big asset
                                                            +

                                                            +

                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Vancouver-DataML-Engineer-Brit/563284117/,feed-importer@jobboard.io,,,,2022-11-05T13:57:48.003Z,False,0,5,53,https://talenthub.vectorinstitute.ai/jobs/155322766-data-ml-engineer-at-telus,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,PhD,New Posting, +c774f624-ab81-43e0-a373-0243e214b565,159575545,Sun Life Financial,Senior Business Data Engineer,on_site,"Ontario, Canada",2022-10-24T17:33:01.756Z,"
                                                            +

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            -

                                                            Hours

                                                            -
                                                            37.5

                                                            -

                                                            Inclusiveness

                                                            -

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            Job Description:

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-06T13:20:46.389Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/148752080-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-09-06T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -65f201c1-d179-455c-b83c-52d95248bfcf,153906931,Shopify Inc.,"Lead (Staff) Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-09-29T07:35:02.737Z,"

                                                            About the role

                                                            Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

                                                            -
                                                              -
                                                            • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.

                                                            • -
                                                            • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?

                                                            • -
                                                            • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.

                                                            • -
                                                            • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.

                                                            • -
                                                            ",,https://www.shopify.ca/careers/lead-staff-data-engineer-remote-canada_9356598e-1a12-4c7f-8133-f611f0c83cb5,feed-importer@jobboard.io,,,,2022-10-06T07:40:19.773Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/153906931-lead-staff-data-engineer-remote-canada-at-shopify-inc,,expired,2022-09-29T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Masters Degree,New Posting, -bf9e5175-29a9-44dc-9823-fcabac13a9c2,152492042,Magna International,Data Engineer,on_site,"Ontario, Canada",2022-09-21T20:50:52.775Z,"

                                                            Group Description

                                                            -

                                                            At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                                            -

                                                            We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                                            +

                                                            At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                            -

                                                            Role Summary

                                                            -

                                                            The Data Engineer is a vital member of the data analytics team, responsible for implementing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization. The Data engineer will work closely with internal stakeholders and business analysts to provide support and expertise in data management, BI / Reporting and underlying data delivery architecture. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up while being able to deal with a fragmented data landscape.

                                                            -

                                                            Key Responsibilities

                                                            +

                                                            Role Summary:

                                                            +

                                                            +

                                                            The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                                            +

                                                            +

                                                            Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                                            +

                                                            +

                                                            What will you do?

                                                              -
                                                            • Build the infrastructure required for extraction, transformation and loading of data from a wide variety of data sources
                                                            • -
                                                            • Build analytics solutions that utilize the data pipelines to provide actionable insights for various stakeholders across Magna
                                                            • -
                                                            • Design and implement complex business intelligence and analytic solutions based on functional requirements
                                                            • -
                                                            • Identify ways to improve data reliability, efficiency and quality
                                                            • -
                                                            • Prepare data for predictive & prescriptive modeling and support the implementation & deployment machine earning use cases
                                                            • +
                                                            • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                                            • +
                                                            • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                                            • +
                                                            • Ensure high level of data quality and data integrity are maintained across data sources for business

                                                            • +
                                                            • Convert complex business and technical rules into logic for data flows and data pipelines

                                                            • +
                                                            • Work with our Data Science teams to implement data products for various use cases

                                                            • +
                                                            • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                                            • +
                                                            • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                                            -

                                                            Education, Knowledge and Work Experience

                                                            +

                                                            +

                                                            What do you need to succeed?

                                                              -
                                                            • Completion of University Degree or equivalent work experience
                                                            • -
                                                            • 3-5 years of work-related experience
                                                            • +
                                                            • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL

                                                            • +
                                                            • 3 years experience in Pyspark and SQL

                                                            • +
                                                            • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                                            • +
                                                            • 3-5 years experience with engineering data products as input to various analytical models

                                                            • +
                                                            • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                                            • +
                                                            • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                                            • +
                                                            • Sound understanding of data modelling and a passion for analytics

                                                            • +
                                                            • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                            • +
                                                            • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                            • +
                                                            • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                                            • +
                                                            • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                                            • +
                                                            • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                                            -

                                                            Key Qualifications/Requirements

                                                            +

                                                            +

                                                            Education and Qualifications:

                                                              -
                                                            • Proficiency in ETL concepts and its implementation (Talend, SSIS preferred)
                                                            • -
                                                            • Strong SQL and programming & scripting skills
                                                            • -
                                                            • Experience in developing reporting or dashboard solutions with BI tools (Microsoft stack preferred)
                                                            • -
                                                            • Experience with Data Architectures on Azure & AWS
                                                            • -
                                                            • Background in Data science, Data mining, Computer vision, Machine learning
                                                            • -
                                                            • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                                            • -
                                                            • Ability to be a strong team member and communicate effectively
                                                            • -
                                                            • Capability to prioritize and multi-task, and reasonably estimate work effort for tasks
                                                            • -
                                                            • Excellent English in spoken and written
                                                            • +
                                                            • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                                            • +
                                                            • Graduate degree in business or quantitative science strongly preferred

                                                            -

                                                            Additional Information

                                                            -

                                                            Regular travel up to 15% of the time.

                                                            -

                                                            -

                                                            For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                            -

                                                            Awareness. Unity. Empowerment.

                                                            -

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562249817/,aitalent@vectorinsitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-10-11T16:51:00.000Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/152492042-data-engineer-at-magna-international,,expired,2022-09-21T20:50:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -109b6104-906d-4f17-bc01-4b52e41b4c31,155322786,NVIDIA,"Senior Manager, Autonomous Machine Business Group",on_site,"Ontario, Canada",2022-10-06T07:35:19.410Z,"
                                                            -

                                                            For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With an unusual focus on this field, we offer niche platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team. NVIDIA\'s World Wide Field Operation Group is looking for a Senior Manager in Tokyo, Japan for supporting Embedded markets.

                                                            -

                                                            What you\'ll be doing:

                                                            +

                                                            Unique Requirements

                                                              -
                                                            • Enthusiastically grow Automotive, Factory Automation, Robotics, Smart-city (AI video surveillance) businesses with our embedded (Jetson) and data center products

                                                            • -
                                                            • Balance distributor, channel and Partners

                                                            • -
                                                            • Matchmaking and bridge global end customers with embedded and enterprise system partners

                                                            • -
                                                            • Develop outstanding strategic relationships with customers\' R&D and procurement teams in order to understand customers\' system architecture, existing solutions, development plans and competition

                                                            • -
                                                            • Develop new opportunity pipelines and drive design wins

                                                            • -
                                                            • Understanding and guide delivery of NVIDIA value proposition, key features, product messages, positioning

                                                            • -
                                                            • Engage appropriate NVIDIA resources as part of a virtual sales team

                                                            • -
                                                            • Provide market and partners feedback to product teams to drive strategic alignment

                                                            • -
                                                            • Provide projects pipeline, forecast and accounts update periodically

                                                            • +
                                                            • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                            • +
                                                            • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                            • +
                                                            +

                                                            +

                                                            What would be nice to have?

                                                            +
                                                              +
                                                            • Understand and Embrace Agile Operating Model

                                                            • +
                                                            • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                                            • +
                                                            • Experience working in a large financial services organization

                                                            • +
                                                            • Knowledge of fundamental statistical models & techniques

                                                            -

                                                            What we need to see:

                                                            +

                                                            What\'s In It For You?

                                                              -
                                                            • 10+ years Embedded Product and Sales experience and experience managing a team

                                                            • -
                                                            • Successful experience with Japanese industrial companies

                                                            • -
                                                            • Executive-level sales knowledge and experience

                                                            • -
                                                            • Excellent both English and Japanese / communication / presentation skills

                                                            • -
                                                            • Good organization ability / proactive

                                                            • -
                                                            • Data Center business experience is a plus

                                                            • -
                                                            • Distributor and channel management experience is helpful

                                                            • -
                                                            • Familiar with AI DL, Embedded Linux and Android environments is a plus

                                                            • -
                                                            • Education: BS EE, Computer science is plus

                                                            • -
                                                            • Strong customer relationship skills

                                                            • -
                                                            • Ambitious, inventive, market savvy, creative thinking

                                                            • +
                                                            • Great Place to Work® Certified in Canada and the US - 2022

                                                            • +
                                                            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                            • +
                                                            • Named “Best Places to Work” by Glassdoor - 2021

                                                            • +
                                                            • Canada Award for Excellence for Mental Health at Work - 2021

                                                            • +
                                                            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                            • +
                                                            • Competitive salary and bonus structure influenced by market range data

                                                            • +
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • +
                                                            • A friendly, collaborative, and inclusive culture

                                                            • +
                                                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                            • +
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                            -

                                                            NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you\'re creative and autonomous, we want to hear from you!

                                                            -

                                                            We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            -
                                                            ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Senior-Manager--Autonomous-Machine-Business-Group_JR1951448,feed-importer@jobboard.io,,,,2022-10-13T17:33:26.901Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/155322786-senior-manager-autonomous-machine-business-group-at-nvidia,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -cf67c72f-8874-4f25-851c-f8640f1d9127,153868796,League,Data Analyst - Remote,full,US / Canada - Remote,2022-09-29T05:09:05.666Z,"
                                                            -
                                                            Help Us Shape the Future of Healthcare
                                                            -
                                                            -
                                                            At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                            -

                                                            As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                            -

                                                            People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                            -

                                                            Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                            -


                                                            In this role, you will:

                                                            -
                                                              -
                                                            • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                            • -
                                                            • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                            • -
                                                            • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                            • -
                                                            • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                            • -
                                                            • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                            • -
                                                            -


                                                            Attributes

                                                            -
                                                              -
                                                            • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                            • -
                                                            • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                            • -
                                                            • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                            • -
                                                            • You drive to learn and master new technologies and techniques.
                                                            • -
                                                            • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                            • -
                                                            • You are eager to learn from others and help others grow with you.
                                                            • -
                                                            -



                                                            Desired Outcome

                                                            -
                                                              -
                                                            • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                            • -
                                                            • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                            • -
                                                            -


                                                            Required Education/Experience/Certificates

                                                            -
                                                              -
                                                            • Strong SQL skills and experience working with a modern ETL framework
                                                            • -
                                                            • Experience working as a data analyst or data scientist
                                                            • -
                                                            • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                            • -
                                                            -



                                                            Nice To Have Experience

                                                            -
                                                              -
                                                            • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                            • -
                                                            • Healthcare industry experience
                                                            • -
                                                            -
                                                            -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                            -
                                                            -
                                                            Our Application Process:
                                                            -
                                                            -
                                                            Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                            -
                                                              -
                                                            • You should receive a confirmation email after submitting your application.
                                                            • -
                                                            • A recruiter (not a computer) reviews all applications at League.
                                                            • -
                                                            • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                            • -
                                                            • The final step is an offer, which we hope you will accept!
                                                            • -
                                                            • -Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring. -
                                                            • -
                                                            -
                                                            -
                                                            Here are some additional resources to learn more about League:
                                                            - - - - -
                                                            -

                                                            Recognize and Avoid Employment scams. Practice safe job searching.

                                                            -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. -
                                                            -
                                                            -
                                                            Privacy Policy
                                                            -
                                                            Review our Privacy Policy for information on how League is protecting personal data.
                                                            -
                                                            -
                                                            ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-10-13T17:30:14.043Z,False,0,18,71,https://talenthub.vectorinstitute.ai/jobs/153868796-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-09-29T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -eb7e0d28-92cf-4fb4-b091-076b960df848,149429463,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-09-09T01:51:13.594Z,"
                                                            -

                                                            Company Overview

                                                            -
                                                            -

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            -

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            +

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            +

                                                            +

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            +

                                                            +

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            +

                                                            +

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            +

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            +

                                                            Salary Range:

                                                            74,100/74 100 - 120,800/120 800

                                                            +

                                                            Job Category:

                                                            Advanced Analytics

                                                            +

                                                            Posting End Date:

                                                            28/10/2022
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Data-Engineer_JR00064435?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-10-31T17:02:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/159575545-senior-business-data-engineer-at-sun-life-financial,,expired,2022-10-24T17:33:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +31a4e556-09a0-49a6-8076-09d1b843715c,155322766,TELUS,Data/ML Engineer,on_site,"Ontario, Canada",2022-10-06T07:35:14.337Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +

                                                            +

                                                            Join our team

                                                            +

                                                            +

                                                            Join the Procurement Analytics Center of Excellence (PACE) and TELUS, and support our mission to transform the chief procurement office (CPO) into a fully digital organization where data is at the heart of every decision we make. Enable stakeholders to efficiently evolve and consume actionable insights through transformation strategies.

                                                            +

                                                            +

                                                            We are an advanced data and AI team thriving on solving business problems and supporting procurement decisions using the power of data, advanced analytics, and reliable software. We provide end-to-end support from strategy and development to deployment and monitoring of all assets, including machine learning model, Tableau dashboards, and data engineering ETLs using cutting-edge cloud technologies (e.g., Google BigQuery and GCP AI Platform), open source tools (e.g., Python, DBT, Nifi, Sklearn, NLTK, Tensorflow), and enterprise products (e.g., Tableau, GitHub, Terraform).

                                                            +

                                                            +

                                                            In achieving our goal of enabling data-driven decision-making in CPO, the PACE team is looking for an experienced data/ML engineer who can interpret the requirements of data and analytics use cases and scenarios, and drive the design and implementation of data pipelines and models to enable insights and analytics leading to better business decisions.

                                                            +


                                                            What you’ll do:

                                                            +

                                                            +

                                                            As a Data/ML Engineer in PACE’s Insight Generation team, you will be responsible for developing, maintaining, and evolving our MLOps methodology for continuous delivery and integration of our data and model assets. You are also accountable for ingesting data from various sources and validating, normalizing, and cleaning data for business use, and deploying & maintaining ML models in production. The expectation is to go above and beyond your role in working with like-minded, entrepreneurial colleagues to strengthen the availability and reliability of our data following the state-of-the-art MLOps tech stack to support our data-driven decision-making culture. In this role, you are responsible to:

                                                            +
                                                              +
                                                            • Developing, maintaining, and evolving our MLOps methodology
                                                            • +
                                                            • Design & build data extraction, loading, and transformation pipelines, and data products across on-prem and cloud platforms
                                                            • +
                                                            • Help integrate large datasets stemming from multiple data sources to be later used for data modeling and visualization
                                                            • +
                                                            • Own, design, and build the data pipelines feeding into our machine learning models
                                                            • +
                                                            • Own and develop relationships with various internal and external teams/vendors to bring data from across the organization to our central data/ML platform in the cloud
                                                            • +
                                                            • Bring systems design experience with the ability to architect and explain complex systems interactions, data flows, standard interfaces, and APIs
                                                            • +
                                                            • Assist in the extracting, loading, transforming, cleaning, and validating of data
                                                            • +
                                                            • Develop test strategies and site reliability engineering measures for data products & solutions
                                                            • +
                                                            • Supervise or contribute to quality assurance efforts to make sure that the ingested data has and keeps the expected quality
                                                            • +
                                                            • Look proactively at opportunities to blend data across different enterprise systems to generate actionable insights that drive business value
                                                            • +
                                                            • Perform technical data stewardship tasks including metadata management, security, and privacy by design
                                                            • +
                                                            • Mentor and coach other peers at PACE and upskill stakeholders to adopt and utilize reports, dashboards, and insights to inform day-to-day decision-making
                                                            • +
                                                            +

                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +

                                                            -

                                                            Department Overview

                                                            -
                                                            -

                                                            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                            -

                                                            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                            -

                                                            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                            +

                                                            +

                                                            Who you are:

                                                            +

                                                            +
                                                              +
                                                            • Hold PhD or Master\'s degree with a major in computer science, software engineering, or applied mathematics (or related quantitative disciplines)
                                                            • +
                                                            • Minimum 7 years of experience with SQL and database proficiency
                                                            • +
                                                            • Minimum 5 years of experience with Python
                                                            • +
                                                            • Minimum 2 years of experience with databases and data pipelines on cloud platforms
                                                            • +
                                                            • Minimum 5 years of experience using data extraction and processing technologies.
                                                            • +
                                                            • Minimum 2 years of data solution architecture and design
                                                            • +
                                                            • Prior experience with Agile and Jira
                                                            • +
                                                            • Excellent communication and presentation skills
                                                            • +
                                                            • Ability to communicate data analytics and insights to business stakeholders
                                                            • +
                                                            • Ability to work and collaborate with team members
                                                            • +
                                                            +

                                                            +

                                                            Great-to-have:

                                                            +

                                                            +
                                                              +
                                                            • Knowledge and experience with Google Cloud Platform (GCP), including Google BigQuery
                                                            • +
                                                            • GCP Professional Data Engineering certification
                                                            • +
                                                            • Experience with job scheduling platforms and Orchestration (Apache NiFi, Apache airflow)
                                                            • +
                                                            • Familiar and preferably experienced with the life cycle of machine learning model development, deployment, and operationalization in large enterprises
                                                            • +
                                                            • Familiar with software development methodologies and best practices
                                                            • +
                                                            • DevOps and MLOPs practices and tools experience
                                                            • +
                                                            • Quality Assurance & Site Reliability Engineering
                                                            • +
                                                            • Familiarity with Data Build Tool (DBT)
                                                            • +
                                                            • Knowledge and experience with SAP S4 HANA, SAP ECC is a big asset
                                                            • +
                                                            +

                                                            +

                                                            +
                                                            +
                                                            ",,https://careers.telus.com/job/Vancouver-DataML-Engineer-Brit/563284117/,feed-importer@jobboard.io,,,,2022-11-05T13:57:48.003Z,False,0,5,53,https://talenthub.vectorinstitute.ai/jobs/155322766-data-ml-engineer-at-telus,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,PhD,New Posting, +826443f1-c325-4818-afb4-188b1566f52e,155429728,Borealis AI,Data Analyst - Secondment Position,on_site,"Ontario, Canada",2022-10-07T01:59:06.338Z,"
                                                            +

                                                            What’s the opportunity?

                                                            +

                                                            Borealis AI is looking for an expert Data Analyst Lead to own the data domain for our Credit portfolio to drive our development of state of the art machine learning models. In this role, the Data Analyst Lead will work closely with our partner teams at RBC to explore and discover various data sources that might be of interest to our research, analyze the data to understand its properties and semantics, work alongside our researchers to provide the datasets needed for ML model development, and collaborate with our engineering team to develop data tools and automated pipelines in productionization of the models. The successful candidate will use their talent and expertise to own the data domain and make if available with all parties involved through effective communication and thorough documentation.

                                                            +

                                                            Qualifications:

                                                            +
                                                              +
                                                            • Expert in SQL and SAS
                                                            • +
                                                            • Deep understanding of database concepts
                                                            • +
                                                            • Experienced in Python and packages such as Numpy and Pandas
                                                            • +
                                                            • Experience using Jupiter notebooks
                                                            • +
                                                            • Solid background in statistics
                                                            • +
                                                            • Self-motivated and results oriented
                                                            • +
                                                            • Ability to work with vague requirements
                                                            • +
                                                            • Ability to work in a multi-disciplinary team
                                                            • +
                                                            +

                                                            What’s in it for you?

                                                            +
                                                              +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            • +
                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            +
                                                            ",,https://www.borealisai.com/careers/?gh_jid=6427439002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-10T13:58:59.331Z,False,0,8,51,https://talenthub.vectorinstitute.ai/jobs/155429728-data-analyst-secondment-position-at-borealis-ai,,expired,2022-10-07T01:59:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +970cd9c5-a757-44e1-9b02-59925312f9ce,157650371,Sun Life Financial,"Director, Data Governance and Enablement",on_site,"Ontario, Canada",2022-10-18T17:31:35.816Z,"
                                                            +

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            -

                                                            About this Role

                                                            -

                                                            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                                                            -

                                                            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                            -

                                                            As a Data Scientist II, these are the essential qualifications of this role:

                                                            +

                                                            +

                                                            Job Description:

                                                            +

                                                            +

                                                            Role Summary

                                                            +

                                                            +

                                                            The Data Enablement COE within the Client Experience Office (CXO) Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a more client centric, data driven organization.

                                                            +

                                                            +

                                                            We are looking for a Director, Data Governance and Enablement who is an experienced data governance practitioner with strong leadership and influencing skills to lead the development and management of a business led data governance program for our CXO and One Sun Data assets.

                                                            +

                                                            +

                                                            Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for Data Governance as we build a culture of business data ownership and focus on developing an offensive minded governance and enablement paradigm rather than a defense first mindset when it comes to building and consuming data asset to deliver on our commitments for achieving business value.

                                                            +

                                                            +

                                                            What will you do?

                                                              -
                                                            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                            • -
                                                            • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                            • -
                                                            • Design and deliver enterprise analytic solutions for customers
                                                            • -
                                                            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                            • -
                                                            • Build complex statistical models that learn from and scale to petabytes of data.
                                                            • -
                                                            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                            • -
                                                            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                            • -
                                                            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                            • -
                                                            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                            • +
                                                            • Responsible for building and enabling a practical, business led Data Governance program for the CXO, while serving as a SME for other business units as well.

                                                            • +
                                                            • Develop and operationalize ""offense first"" mindset to the creation and consumption of data assets for the operations of the Data Governance program.

                                                            • +
                                                            • Oversee the day to day operations and adherence to Sun Life Canada\'s policies and procedures for enabling the use of data in partnership with stakeholders across IT, Privacy and Compliance.

                                                            • +
                                                            • Build a community of data owners and stewards with adequate clarity on their roles and responsibilities, while partnering up with IT to provide effective tools and frameworks to execute the job.

                                                            • +
                                                            • Responsible for oversight of strategic delivery of data enablement initiatives

                                                            • +
                                                            • Guide business units on data governance concepts to responsibly execute data governance, navigating the complex data landscape advocating for accountability, ethical use and transparency in all initiatives.

                                                            • +
                                                            • Develop and maintain data cataloging including metadata, data curation, knowledge management and a ""data marketplace"" to enable ease of understanding our data assets.

                                                            • +
                                                            • Embed a practical data quality program in partnership with IT, with a view on enabling metrics and KPI\'s for continuous improvement

                                                            • +
                                                            • Participate and influence the Canadian and global DG councils and steering committees as the representative of the SLF Canada business community

                                                            • +
                                                            • Become an organizational thought leader for the governance and enablement of data

                                                            • +
                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +
                                                              +
                                                            • 7 years experience working in data and analytics environments.Proven track record of business-minded leadership

                                                            • +
                                                            • Minimum of 5 years experience in developing and implementing Data Governance, Data Policy, and Data Stewardship

                                                            • +
                                                            • Experience in making Data Governance function to be an enabler for business efficiency and results

                                                            • +
                                                            • Demonstrated experience of enabling practical and value driven data governance program

                                                            • +
                                                            • Expert communication skills (verbal and written), ability to communicate progress on initiatives in leadership forums.

                                                            • +
                                                            • Strong understanding of records and information management and data security and privacy concepts

                                                            • +
                                                            • Confidence, drive and the ability to work within a matrixed organization with a focus on business outcomes and value realization.

                                                            • +
                                                            +

                                                            +

                                                            What will be nice to have?

                                                            +
                                                              +
                                                            • Practical experience with data management, data architecture and big data technologies an asset

                                                            • +
                                                            • Strong knowledge of Cloud-based capabilities and platforms, with experience in AWS an asset.

                                                            • +
                                                            • Experience with leading edge industry tools enabling data stewardship and data cataloging, with experience with Collibra an asset.

                                                            • +
                                                            • Consulting background is an asset

                                                            • +
                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +
                                                              +
                                                            • Great Place to Work® Certified in Canada and the US.

                                                            • +
                                                            • Named 2021 “Best Places to Work” by Glassdoor

                                                            • +
                                                            • Canada Award for Excellence for Mental Health at Work - 2021

                                                            • +
                                                            • Flexible hybrid work model including in-country work-from-home if you prefer.

                                                            • +
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • +
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                            • +
                                                            • A friendly, collaborative, and inclusive culture

                                                            • +
                                                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                            -

                                                            -

                                                            Requirements

                                                            -
                                                            -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                            -
                                                              -
                                                            • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                                            • -
                                                            • Up to 5 years’ experience of working in analytical environments
                                                            • -
                                                            • Expertise in analytical tools such as SAS
                                                            • -
                                                            • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                                            • -
                                                            • Experience with Git
                                                            • -
                                                            • Experience with relational databases and usage of SQL
                                                            • -
                                                            • Experience with Object Orientated programming via Java/C++
                                                            • -
                                                            • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                                            • -
                                                            • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                                            • -
                                                            • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                                            • -
                                                            • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                                            • -
                                                            -

                                                            -

                                                            Additional Information

                                                            -
                                                            #datascientist #LI-Hybrid
                                                            +

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            -

                                                            Hours

                                                            -
                                                            37.5
                                                            +

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            -

                                                            Inclusiveness

                                                            -

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-12T17:50:38.570Z,False,0,1,35,https://talenthub.vectorinstitute.ai/jobs/149429463-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,expired,2022-09-09T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -7497b34f-e5a7-4734-a72a-f21567bfd4e2,156979899,League,Senior Data Analyst - Remote,full,US / Canada - Remote,2022-10-15T17:26:07.467Z,"
                                                            +

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            +

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            +

                                                            Salary Range:

                                                            105,000/105 000 - 165,900/165 900

                                                            +

                                                            Job Category:

                                                            Advanced Analytics

                                                            +

                                                            Posting End Date:

                                                            31/10/2022
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Governance-and-Enablement_JR00067710?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-11-03T14:08:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/157650371-director-data-governance-and-enablement-at-sun-life-financial,,expired,2022-10-18T17:31:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +a9222e3f-8219-4114-b8db-c12469620b73,156979898,League,Senior Data Scientist,on_site,"Toronto, ON",2022-10-15T17:26:07.414Z,"
                                                            Help Us Shape the Future of Healthcare
                                                            At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                            -

                                                            As a Senior Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                            -

                                                            People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                            -

                                                            Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                            -


                                                            In this role, you will:

                                                            -
                                                              -
                                                            • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                            • -
                                                            • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                            • -
                                                            • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                            • -
                                                            • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                            • -
                                                            • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                            • -
                                                            -


                                                            Attributes

                                                            -
                                                              -
                                                            • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                            • -
                                                            • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                            • -
                                                            • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                            • -
                                                            • You drive to learn and master new technologies and techniques.
                                                            • -
                                                            • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                            • -
                                                            • You are eager to learn from others and help others grow with you.
                                                            • -
                                                            -



                                                            Desired Outcome

                                                            +

                                                            As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.

                                                            +

                                                            To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.

                                                            +

                                                            Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR).


                                                            In this role, you will:

                                                              -
                                                            • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                            • -
                                                            • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                            • +
                                                            • Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
                                                            • +
                                                            • Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
                                                            • +
                                                            • Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
                                                            • +
                                                            • Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
                                                            • +
                                                            • Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health
                                                            -


                                                            Required Education/Experience/Certificates

                                                            +


                                                            About you:

                                                              -
                                                            • Strong SQL skills and experience working with a modern ETL framework
                                                            • -
                                                            • Experience working as a data analyst or data scientist
                                                            • -
                                                            • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                            • +
                                                            • MSc or PhD focused on data science/machine learning research or applications
                                                            • +
                                                            • 2+ years of experience in data science or machine learning engineering
                                                            • +
                                                            • 2+ years building and shipping data science based personalization services and recommendation systems
                                                            • +
                                                            • OR BSc focused on data science/computer science/engineering and 4+ years experience developing and shipping production grade machine learning systems
                                                            • +
                                                            • You have strong analytical and data science skills and are excited to apply it in non-traditional domains
                                                            • +
                                                            • You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
                                                            • +
                                                            • You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you
                                                            -



                                                            Nice To Have Experience

                                                            -
                                                              -
                                                            • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                            • -
                                                            • Healthcare industry experience
                                                            • -
                                                            +
                                                            At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                            @@ -37353,1208 +35476,1836 @@ eb7e0d28-92cf-4fb4-b091-076b960df848,149429463,TD Bank Group,Data Scientist II,o
                                                            Privacy Policy
                                                            Review our Privacy Policy for information on how League is protecting personal data.
                                                            -
                                                            ",,https://boards.greenhouse.io/leagueinc/jobs/4497880004,feed-importer@jobboard.io,,,,2022-10-20T15:27:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/156979899-senior-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4497880004,expired,2022-10-15T17:26:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -71f8b192-63b7-470f-be89-400963bbec2b,170608175,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-11-24T17:41:01.559Z,"
                                                            -

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            -

                                                            -

                                                            -

                                                            Job Description:

                                                            -

                                                            -

                                                            Role Summary

                                                            -

                                                            -

                                                            Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                            -

                                                            -

                                                            Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                            -

                                                            -

                                                            Sun Life views success in this role in demonstration of these key attributes:

                                                            -

                                                            Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                            -

                                                            -

                                                            What will you do?

                                                            +
                                                            ",,https://boards.greenhouse.io/leagueinc/jobs/4459649004,feed-importer@jobboard.io,,,,2022-11-03T14:23:00.000Z,False,0,5,22,https://talenthub.vectorinstitute.ai/jobs/156979898-senior-data-scientist-at-league,https://boards.greenhouse.io/leagueinc/jobs/4459649004,expired,2022-10-15T17:26:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,PhD,New Posting, +4da08b28-ced1-470c-b939-831d7df3ef76,154998427,OMERS,"Student, Data & Analytics (Winter 2023, 4 Months)",on_site,"Ontario, Canada",2022-10-04T21:00:50.169Z,"

                                                            Why join us?

                                                            +

                                                            Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                            +

                                                            At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                            +

                                                            We are looking for a highly motivated, detail-oriented Data & Analytics Co-op to join our Data Science & Advanced Analytics team. Our primary focus is to democratize data & insights throughout the organization and deliver analytic solutions that enable analysis and generation of insights that were not previously possible. The position is an essential part of Oxford as you will have opportunity to develop world class data solutions and products. The Co-op will be an integral member of Data Science & Analytics team and be responsible for a wide range of activities across the data and analytics lifecycle, including areas such as discovery, profiling, modeling, and testing. You will have an opportunity to gain exposure to different facets of the business such as technology, leasing, operations, research, marketing and development.

                                                            +


                                                            As a member of this team, you will be responsible for:

                                                              -
                                                            • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                            • -
                                                            • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                            • -
                                                            • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                            • +
                                                            • Leverage analytics and research to support the development of strategies and objectives by channel, business unit, and brands
                                                            • +
                                                            • Collect data on consumers, competitors, and marketplace; consolidate data into actionable insights
                                                            • +
                                                            • Responsible for extracting data from different sources, storing them and helping team to use it in most meaningful way
                                                            • +
                                                            • Work with different retail stakeholders to understand their needs and build dashboards, reports to help them achieve their goals
                                                            • +
                                                            • Explore, analyze, and derive insights from the data and build smart data products
                                                            • +
                                                            • Research on upcoming retail trends to help our shopping malls get ahead of the curve
                                                            • +
                                                            • Work with team to innovate and build reports, dashboards, and other data product to enhance decision making and daily operations across different retail assets
                                                            • +
                                                            • Conduct customer surveys to build customer profile, understand customer needs and sentiments
                                                            • +
                                                            • Build customer segments using machine learning techniques and identify the target customer segments for engagements
                                                            • +
                                                            • Build predictive models (Regression, Random Forest) to understand the financial health of the retailers
                                                            • +
                                                            • Build forecasting (ARIMA, Prophet) models to help optimize operations in the shopping malls
                                                            +

                                                            To succeed in this role, you:

                                                              -
                                                            • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                            • -
                                                            • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                            • -
                                                            • Champion and support diversity and inclusion

                                                            • +
                                                            • Working towards completion of an undergraduate or post-graduate degree with a concentration in Business, Analytics, Computer Science, Mathematics, or other quantitative disciplines
                                                            • +
                                                            • Strong knowledge of Power BI and Tableau
                                                            • +
                                                            • Working knowledge of GIS software like Arc GIS or open GIS packages like Kepler
                                                            • +
                                                            • Ability to querying databases, and basic knowledge of Python/R
                                                            • +
                                                            • Solid analytical skills and good understanding of underlying statistical concepts (distribution, sampling, hypothesis testing, confidence intervals, correlation, regression, probabilities)
                                                            • +
                                                            • Self-motivated individual with a strong work ethic and a high level of attention to detail
                                                            • +
                                                            • Ability to communicate clearly, concisely and accurately (both verbal and written)
                                                            • +
                                                            • Ability to meet tight deadlines and to manage conflicting priorities
                                                            • +
                                                            • Excellent interpersonal skills
                                                            +

                                                            Our story:

                                                            +

                                                            Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario's municipal employees.

                                                            +

                                                            For more information on Oxford, visit www.oxfordproperties.com

                                                            +

                                                            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                            +


                                                            Vaccination Policy

                                                            +

                                                            At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                            ",,https://omers.wd3.myworkdayjobs.com/OMERS_External/job/Head-Office-Toronto/Student--Business-Data-Scientist--Winter-2023--4-Months-_JR-3786,aitalent@vectorinsitute.ai,https://www.omers.com/careers,,,2022-11-03T21:00:00.000Z,False,0,23,113,https://talenthub.vectorinstitute.ai/jobs/154998427-student-data-analytics-winter-2023-4-months-at-omers,,expired,2022-10-04T21:00:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, +f54fdeb5-5c0c-4965-b93f-325760d1a8e6,164063862,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-11-07T17:24:01.807Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +

                                                            -

                                                            What will you need to succeed?

                                                            +

                                                            Department Overview

                                                            +

                                                            Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            About this Role

                                                            +

                                                            Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                            +

                                                            As a Data Steward II, you will:

                                                              -
                                                            • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                            • -
                                                            • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                            • -
                                                            • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                            • -
                                                            • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                            • -
                                                            • Experience with AWS services including SageMaker

                                                            • -
                                                            • Experience with machine learning including supervised and unsupervised models

                                                            • -
                                                            • Demonstrated experience in data transformation & data manipulation

                                                            • -
                                                            • Experience working with Structured vs. Unstructured data

                                                            • -
                                                            • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase,, Spark is strongly desirable

                                                            • -
                                                            • Effective and concise oral and written storytelling and insights communication skills

                                                            • -
                                                            • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                            • -
                                                            • Ability to document work and effectively prioritize documentation

                                                            • -
                                                            • Bilingualism (French, English) required for Quebec only

                                                            • +
                                                            • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                            • +
                                                            • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                            • +
                                                            • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                            • +
                                                            • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                            • +
                                                            • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                            • +
                                                            • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                            • +
                                                            • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                            • +
                                                            • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                            • +
                                                            • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                            • +
                                                            • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                            +

                                                            -

                                                            What will be nice to have?

                                                            -
                                                            • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                            -

                                                            -

                                                            Unique Requirements

                                                            -


                                                            The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html

                                                            -

                                                            -

                                                            What\'s in it for you?

                                                            +

                                                            Requirements

                                                            +
                                                            +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • Great Place to Work® Certified in Canada and the US - 2022

                                                            • -
                                                            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                            • -
                                                            • Named “Best Places to Work” by Glassdoor - 2021

                                                            • -
                                                            • Canada Award for Excellence for Mental Health at Work - 2021

                                                            • -
                                                            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                            • -
                                                            • Competitive salary and bonus structure influenced by market range data

                                                            • -
                                                            • 20 days vacation per year and an innovative sabbatical program

                                                            • -
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • -
                                                            • A friendly, collaborative, and inclusive culture

                                                            • -
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                            • -
                                                            • The opportunity to move along a variety of career paths with amazing networking potential

                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Seven (7) or more years relevant experience
                                                            • +
                                                            • Skill in using software tools, applications, data analysis methods
                                                            • +
                                                            • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                            +

                                                            -

                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                            -

                                                            -

                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                            -

                                                            -

                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                            +

                                                            Additional Information

                                                            +
                                                            #tdcybersecurity
                                                            #LI-Post +

                                                            -

                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                            +

                                                            Hours

                                                            +
                                                            37.5

                                                            -

                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -

                                                            Salary Range:

                                                            80,000/80 000 - 130,400/130 400

                                                            -

                                                            Job Category:

                                                            Advanced Analytics

                                                            -

                                                            Posting End Date:

                                                            06/12/2022
                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00065513-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-12-08T14:47:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/170608175-senior-data-scientist-at-sun-life-financial,,expired,2022-11-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -2d121e27-7b43-4393-b632-08a38764f7b1,177790906,Scotiabank,"Data Engineer, Enterprise Growth Marketing, MarTech & Operations (contract)",on_site,Canada : Ontario : Toronto,2022-12-15T17:22:06.156Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 168026

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/16965873/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-10T17:29:05.463Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/164063862-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16965873/data-steward-ii-toronto-ca/,expired,2022-11-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +ee1c00f1-cf9e-41c7-a85f-a2e62424acc9,292866554,Scotiabank,"Senior Manager, Data Analytics- Hybrid",on_site,Canada : Ontario : Toronto,2023-12-04T16:25:02.142Z,"

                                                            -

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            The purpose of this role is to support the Enterprise Growth team in developing advanced analytics (AI / ML) capabilities through data engineering. The primary focus of the role is to work with the Marketing Operations team, the Global Data & Analytics Team and the Global Marketing Technology team in building and maintaining data pipelines and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure. This role will support the onboarding of the customer data platform through Adobe CDP and AJO.

                                                            -

                                                            What Your Role Will Be
                                                            • Collaborate with stakeholders to deliver data models to address operational needs
                                                            • Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
                                                            • Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
                                                            • Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
                                                            • Assist MIS & Data Analytics team with infrastructure development
                                                            • Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
                                                            • Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
                                                            • Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
                                                            • Assist in mentoring and up-skilling peers for advanced analytics
                                                            • Streamline, enhance and automate existing products to create capacity for team to develop new solutions
                                                            • Act as a subject matter expert in data engineering and GCP data technologies.
                                                            • Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
                                                            • Work with Agile and DevOps techniques and implementation approaches in the delivery.
                                                            • Be required to showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
                                                            • Be required to build and deliver Data solutions using GCP products and offerings.
                                                            • Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.

                                                            -


                                                            Skills You Already Have
                                                            • 3+ years data engineering experience
                                                            • 3+ years in cross-functional data teams
                                                            • 3+ years professional development skills
                                                            • 3+ years using python or other programming languages
                                                            • 3+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
                                                            • Experience with data modelling, data warehousing and database design
                                                            • Experience with Python application development, package management, dependencies, and deployment
                                                            • Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
                                                            • Strong collaboration skills with ability to translate technical knowledge into business value
                                                            • Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
                                                            • Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)
                                                            • Advanced problem-solving skills, and able to navigate an uncertain environment
                                                            • Experience designing and building ETL, data pipelines, or data engineering solutions
                                                            • Experience and understanding of various ML techniques including NLP an asset
                                                            • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO) an asset
                                                            • Experience with Docker, CI/CD tools, and Airflow and Kubernetes an asset
                                                            • Experience with cloud architecture (Azure, AWS, GCP) an asset
                                                            • Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, Google Cloud Storage & Compute Engine).
                                                            • Experience in Spark (Scala/Python/Java) and Kafka.
                                                            • Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
                                                            • E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
                                                            • Regulatory and Compliance work in Data Management.
                                                            • E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.
                                                            • Experience with SQL and NoSQL modern data stores.
                                                            • Adobe data migration experience an asset

                                                            -


                                                            Education
                                                            University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience.

                                                            +

                                                            Requisition ID: 187900

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/177790906-data-engineer-enterprise-growth-marketing-martech-operations-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b37ac8f1-93f9-48d4-b197-1c24557bcffe,178992936,RBC,"Senior Analytics Manager, Data Products, Internal Audit",on_site,"Toronto, ON, Canada",2022-12-19T17:16:02.325Z,"
                                                            -

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            -

                                                            Job Title

                                                            Senior Analytics Manager, Data Products, Internal Audit

                                                            -

                                                            -

                                                            Job Description

                                                            -

                                                            What is the opportunity?

                                                            -

                                                            To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across AML, Capital Markets, Compliance, Credit Risk, Group Risk Management, Investor & Treasury Services and Wealth Management. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                            -


                                                            The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                                                            -

                                                            -

                                                            What will you do?

                                                            -
                                                              -
                                                            • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                                            • -
                                                            • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                                            • -
                                                            • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                                            • -
                                                            • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                                            • -
                                                            • Support and mentor junior analysts.
                                                            • -
                                                            • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.
                                                            • -
                                                            • Design, develop and maintain productionized applications and dashboards for our end users.
                                                            • -
                                                            -

                                                            -

                                                            What do you need to succeed?

                                                            -

                                                            Must have

                                                            -
                                                              -
                                                            • Degree in a quantitative field
                                                            • -
                                                            • Experience with either Python or R as well as SQL
                                                            • -
                                                            • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                                            • -
                                                            • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                                            • -
                                                            • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                                            • -
                                                            -

                                                            Nice to have

                                                            -
                                                              -
                                                            • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                                            • -
                                                            • Experience building natural language processing (NLP) and unsupervised learning models
                                                            • -
                                                            • Experience working with Dataiku
                                                            • -
                                                            • Understanding of software engineering design principles
                                                            • -
                                                            • An interest in finance
                                                            • -
                                                            -

                                                            -

                                                            What’s in it for you?

                                                            -

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            -
                                                              -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • -
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                                            • -
                                                            • Opportunities to do challenging work
                                                            • -
                                                            • Flexible work/life balance options
                                                            • -
                                                            -

                                                            -

                                                            -

                                                            Job Summary

                                                            -

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Internal Audit

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-12-13-08:00

                                                            Application Deadline:

                                                            2022-12-30-08:00
                                                            -

                                                            Inclusion and Equal Opportunity Employment

                                                            -

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            -
                                                            -

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            -
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000039509/Senior-Analytics-Manager-Data-Products-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-02T17:21:02.724Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/178992936-senior-analytics-manager-data-products-internal-audit-at-rbc,,expired,2022-12-19T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -cc46bc6e-5f45-470f-878f-f172b9aafc11,177790902,Scotiabank,Data Science Manager,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:05.923Z,"

                                                            +

                                                            The Team
                                                            Leads and oversees Finance Data Management Data Services team within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada

                                                            +

                                                            The Role
                                                            As a Senior Manager (Data Analytics Functional Lead) you are required to participate in multiple finance transformation projects, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with internal development teams, as well as 3rd party vendors, and business clients. The incumbent will have a minimum of 3 years of strong expertise querying data, data models, and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive and dynamic, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                            +

                                                            Some of the key accountabilities include:
                                                            • Analytical and detail oriented
                                                            • Opine on the accounting rules, accounting policy and manage requests from stakeholders
                                                            • Retail, Capital markets, Banking and Markets product specialist
                                                            • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                            • Manage communications with Senior Management on monthly/quarterly/annual operational requirements
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                            • Champions a high performance environment and contributes to an inclusive work environment.

                                                            -

                                                            Requisition ID: 169269

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            What You Will Bring to Succeed

                                                            +

                                                            • 3+ years of experience with Financial Statements/Accounting/Chart of Accounts
                                                            • SQL/ACL/Python experience will help with the data models and analysis
                                                            • University College degree: Accounting/Finance +Mathematic/Statistics degree will be a good to have

                                                            -

                                                            The world is changing faster than ever and so are we!

                                                            +

                                                            The Workplace
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                            -

                                                            Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                            -

                                                            Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                            +

                                                            Scotiabank
                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            -

                                                            What You'll do in this Role?

                                                            -

                                                            As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                            +

                                                            Is this Role not the Exact fit?
                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            +

                                                            #scotiatechnology #LI- Hybrid

                                                            -

                                                            Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-Hybrid-ON-M5H1H1/575423517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-02T20:13:00.000Z,False,0,1,293,https://talenthub.vectorinstitute.ai/jobs/292866554-senior-manager-data-analytics-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-Hybrid-ON-M5H1H1/575423517/,expired,2023-12-04T16:25:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +48e31144-4321-455c-b6ae-e8a954e6ddbf,311507108,BMO Financial Group,"Manager, Risk Management",on_site,"Ontario, Canada",2024-03-11T06:25:02.445Z,"
                                                            +

                                                            Application Deadline:

                                                            03/25/2024

                                                            +

                                                            +

                                                            Address:

                                                            100 King Street West

                                                            +

                                                            +

                                                            Job Family Group:

                                                            Data Analytics & Reporting

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Supports the Bank’s Credit Risk Analytics, Risk Reporting, and Loan Loss Provisioning by supporting thoughtful analysis of large datasets and information, utilizing tools such as SQL, SAS, Microsoft SSRS, and Microsoft PowerBI, to provide Senior Management with essential insights to make actionable decisions. Execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                            +
                                                              +
                                                            • Acts as a trusted advisor to assigned business/group.
                                                            • +
                                                            • Influences and negotiates to achieve business objectives.
                                                            • +
                                                            • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                            • +
                                                            • Assists in the development of strategic plans.
                                                            • +
                                                            • Identifies emerging issues and trends to inform decision-making.
                                                            • +
                                                            • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
                                                            • +
                                                            • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                            • +
                                                            • Leads the development and maintenance of the risk reporting framework.
                                                            • +
                                                            • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                                            • +
                                                            • Ensures alignment between stakeholders.
                                                            • +
                                                            • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                                                            • +
                                                            • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                            • +
                                                            • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                            • +
                                                            • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                            • +
                                                            • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                            • +
                                                            • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                            • +
                                                            • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                            • +
                                                            • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                            • +
                                                            • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                            • +
                                                            • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                            • +
                                                            • Provides information and supports the process for internal and external audits.
                                                            • +
                                                            • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                            • +
                                                            • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                            • +
                                                            • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                            • +
                                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                            • +
                                                            • Works independently and regularly handles non-routine situations.
                                                            • +
                                                            • Broader work or accountabilities may be assigned as needed.
                                                            • +
                                                            +

                                                            +

                                                            Qualifications:

                                                            +
                                                              +
                                                            • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                            • +
                                                            • In-depth knowledge of reporting & analytics concepts and applications such as SQL, SAS, Microsoft SSRS, and PowerBI

                                                            • +
                                                            • In-depth knowledge of risk management metrics, KPIs and KRIs.

                                                            • +
                                                            • In-depth knowledge of industry trends and regulatory requirements for risk reporting.

                                                            • +
                                                            • In-depth product knowledge for the designated business/portfolio.

                                                            • +
                                                            • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.

                                                            • +
                                                            • In-depth knowledge of risk systems technology.

                                                            • +
                                                            • Deep knowledge and technical proficiency gained through extensive education and business experience.

                                                            • +
                                                            • Verbal & written communication skills - In-depth.

                                                            • +
                                                            • Collaboration & team skills - In-depth.

                                                            • +
                                                            • Analytical and problem-solving skills - In-depth.

                                                            • +
                                                            • Influence skills - In-depth.

                                                            • +
                                                            • Data driven decision making - In-depth.

                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Compensation and Benefits:

                                                            +
                                                            $68,000.00 - $126,000.00

                                                            +

                                                            Pay Type:

                                                            Salaried

                                                            +

                                                            The above represents BMO Financial Group’s pay range and type.

                                                            +

                                                            +

                                                            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                            +

                                                            +

                                                            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                            +

                                                            +

                                                            +

                                                            We’re here to help

                                                            +

                                                            +

                                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                            +

                                                            +

                                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                            +

                                                            +

                                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                                            +

                                                            +

                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                            +

                                                            +

                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                            +
                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Management_R240006483?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-03-28T06:30:02.722Z,False,0,2,83,https://talenthub.vectorinstitute.ai/jobs/311507108-manager-risk-management-at-bmo-financial-group,,expired,2024-03-11T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +930c2e92-b30b-4ff2-8210-c9fe2364d705,312906874,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2024-03-18T16:28:02.953Z,"
                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Workplace Model

                                                            +
                                                            Hybrid
                                                            +

                                                            +

                                                            Pay Details

                                                            +

                                                            We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            +

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            +
                                                            +

                                                            +

                                                            Job Details

                                                            +
                                                            +

                                                            About this Role

                                                            +
                                                            +

                                                            This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                            +
                                                              +
                                                            • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                            • +
                                                            • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                            • +
                                                            • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                            • +
                                                            • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                            • +
                                                            • understand and actively managing the operational impacts of our fraud defense strategies
                                                            • +
                                                            +

                                                            The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                            +

                                                            Accountabilities:

                                                            +

                                                            Fraud Management

                                                            +
                                                              +
                                                            • Accountable for fraud loss targets and the customer experience
                                                            • +
                                                            • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                            • +
                                                            • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                            • +
                                                            • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                            • +
                                                            • Supports case valuation and prioritization to optimize fraud management
                                                            • +
                                                            • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                            • +
                                                            • Provide ad-hoc analysis to support decision-making at the executive level
                                                            • +
                                                            • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                            • +
                                                            • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                            • +
                                                            • Produce timely diagnostics to identify system, strategy and operational issues
                                                            • +
                                                            • Participates in defect analysis to identify and remediate coverage gaps
                                                            • +
                                                            • Identify, track, and provide solutions to ongoing fraud vectors and portfolio threats
                                                            • +
                                                            • Think forward and provide early gap mitigation to emerging threat vectors globally
                                                            • +
                                                            +

                                                            Partner Support

                                                            +
                                                              +
                                                            • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                            • +
                                                            • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                                            • +
                                                            • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                            • +
                                                            • Support the continuous improvement agenda for our operational partners
                                                            • +
                                                            • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                            • +
                                                            • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
                                                            • +
                                                            +
                                                            +
                                                            +

                                                            +

                                                            Job Requirements

                                                            +
                                                            +What can you bring to TD?

                                                            +
                                                              +
                                                            • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                                                            • +
                                                            • 2+ years’ experience in an analytical capacity Total number of experience required is 5+
                                                            • +
                                                            • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                                            • +
                                                            • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                                                            • +
                                                            • Understanding of machine learning methods with experience in deployment and implementation
                                                            • +
                                                            • Experience with automation tools and proven implementation record
                                                            • +
                                                            • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                            • +
                                                            • Demonstrated analytical, modeling and problem solving skills
                                                            • +
                                                            • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                            • +
                                                            • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                            • +
                                                            • Ability to take initiative and work independently under tight timelines
                                                            • +
                                                            • Ability to work collaboratively and build relationships
                                                            • +
                                                            • Ability to effectively manage multiple projects and priorities simultaneously
                                                            • +
                                                            • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                            • +
                                                            +

                                                            Preferable

                                                            +
                                                              +
                                                            • Experience in fraud management is an asset
                                                            • +
                                                            • Knowledge of machine learning is an asset
                                                            • +
                                                            • Automation experience is an asset
                                                            • +
                                                            • Knowledge of fraud detection platforms is an asset
                                                            • +
                                                            • Agile experience is an asset
                                                            • +
                                                            +
                                                            +

                                                            +

                                                            Additional Information

                                                            +
                                                            #LI-Tech
                                                            +

                                                            +

                                                            Company Overview

                                                            +
                                                            +Our Values
                                                            At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                            +

                                                            Making Your Well-being a Priority
                                                            A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                            +

                                                            Our Total Rewards Package
                                                            Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                            +

                                                            How We Work
                                                            At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                            +

                                                            Who We Are
                                                            TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                            TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                            +
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +
                                                            +Our Commitment to Diversity, Equity, and Inclusion
                                                            At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                            +

                                                            Accommodation
                                                            Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                            +

                                                            How We’re Helping Make an Impact in Communities
                                                            TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                            +

                                                            We look forward to hearing from you!

                                                            +
                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/19753668/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-03-28T17:34:00.000Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/312906874-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19753668/sr-business-insights-analyst-toronto-ca/,expired,2024-03-18T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +838c588b-44d4-436e-8f2e-d40f9b8398b4,309234787,Scotiabank,"Manager, Business Intelligence - CID&A",on_site,Canada : Ontario : Toronto,2024-02-29T16:26:02.375Z,"

                                                            -

                                                            Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                            +

                                                            Requisition ID: 194099

                                                            +

                                                            Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                                                            -

                                                            Is This Role Right for You?

                                                            -
                                                            • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                            • You are both deeply curious and highly pragmatic
                                                            • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                            • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                            • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                            • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                            • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                            • You are comfortable initiating conversations and collaborating with diverse personalities
                                                            • You are committed to quality in everything you do – statistically, process and governance wise
                                                            • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                            • You are professional, motivated AND FUN. We mean it.
                                                            • -
                                                            -

                                                            Sample projects that you might work on include:

                                                            -
                                                            • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                            • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                            • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                            • Lead the periodic review and maintenance of credit risk models / scorecards
                                                            • Identify, promote and lead process improvements for model development and monitoring
                                                            • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                            • +

                                                              The Manager, Business Intelligence will be accountable for delivery of business intelligence and data analytics at Tangerine. Using analytics tools such as GCP Big Query, SQL, VBA, SSRS, SAS, Python, Google Analytics 4 and Looker/Google Data Studio this role will access a wide range of sophisticated data sources to uncover insights and support various business initiatives. The incumbent will work collaboratively with various business partners to drive objectives including profitable portfolio growth, increase of primary customer base and other related bank strategies.

                                                              +


                                                              Is this role right for you? In this role, you will:

                                                              +


                                                              Accountability 1 – Data Analytics and Visualization

                                                              +

                                                              +
                                                              • Use a variety of Business Intelligence analytical and reporting tools (eg. GCP BQ, SQL, Python) to access Enterprise Data Warehouse (EDW) and other platforms
                                                              • Perform complex analysis and reporting, including interactive dashboards, regular reports and ad-hoc requests as required
                                                              • Lead the adoption of visualization tool such as Looker/Google Data Studio or SSRS as the primary delivery method to enable user interaction and data exploration
                                                              • Provide dynamic reporting on key performance metrics to various stakeholders in Marketing, Product, Channels, CX, and external stakeholders for compliance
                                                              • Provide strategic analysis that will assist the business to optimize existing accounts and product mix from various channels, grow primary customer
                                                              • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.

                                                              -

                                                              What Are We Looking For?

                                                              -

                                                              We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                              -

                                                              To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                              -

                                                              We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                              +


                                                              Accountability 2 – Processes Improvement

                                                              -

                                                              Do you have the skills that will enable you to succeed in this role?

                                                              -

                                                              General

                                                              -
                                                              • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                              • A demonstrated history of analytic problem solving and sound judgment
                                                              • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                              • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines -
                                                              • +
                                                                • Design and create new data cubes and interactive dashboards that support distributed analytics model
                                                                • Manage, update and maintain of internal data cubes for consumption of internal analytics peers
                                                                • Document existing processes and work flows, and look for opportunities to optimize and automate work stream
                                                                • Collaborate with partners and stakeholders to consolidate, streamline and improve existing reports to new standards, migrate reports and dashboards
                                                                • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion
                                                                • Coach and provide knowledge transfer to new team members
                                                                • Onboard to potential new data platforms and receptive to other analytics tools such as Python, Vertex AI, Google Analytics 4, etc.
                                                                +


                                                                Accountability 3 – Business Impact

                                                                -

                                                                Technical

                                                                -
                                                                • Strong fundamental understanding of statistics
                                                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • Knowledge of credit risk models / scorecards
                                                                • +
                                                                  • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation
                                                                  • Act as the advocate of Tangerine to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases
                                                                  • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                                                  • Act as a data stakeholder and participate in project requirements gathering and in data governance activities to ensure high data quality standards
                                                                  +


                                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with some of all of the following:

                                                                  -

                                                                  Nice To Have's

                                                                  -
                                                                  • Proficient reading, writing and speaking Spanish (not required)
                                                                  • Experience developing credit risk models / scorecards
                                                                  • Domain expertise with any retail & small business banking products and/or risk management practices
                                                                  • FRM, CFA credentials
                                                                  • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                  • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                  • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                                  • -
                                                                  -

                                                                  What's In it For You?

                                                                  -
                                                                  • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                  • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                  • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                  • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                  • A competitive compensation package
                                                                  • +
                                                                    • 5+ years of analytical / BI experience required
                                                                    • 2+ years of experience in financial industry
                                                                    • Demonstrated expertise in one or more of following GCP, Big Query, Looker, SQL, VBA, SAS, Python, GA4
                                                                    • Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Marketing, Finance or Business
                                                                    • Strong in prioritizing, planning, requirement gathering, data analyzing and presentation skill
                                                                    • Strong communication skills and relationship building skills with internal partners
                                                                    • Experienced with Excel pivot table and MS Office
                                                                    • Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Marketing, Finance or Business
                                                                    • Demonstrated ability to work within tight deadlines
                                                                    • Ability to handle multiple projects simultaneously
                                                                    • Proven ability to work independently and with other groups in a professional and productive manner
                                                                    • Excellent analytical, logical, and organizational skills
                                                                    +


                                                                    What is in it for you?

                                                                    -

                                                                    -

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/177790902-data-science-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ec4213e5-6008-4907-8d56-b29b27bb767d,172488959,Scotiabank,Data Strategist - CID&A,on_site,Canada : Ontario : Toronto,2022-12-01T17:22:02.903Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 169255

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            DATA STRATEGIST

                                                            -

                                                            -

                                                            As a Data Strategist in the Corporate Functions Analytics team, you will help integrate analytics capabilities into Scotiabank’s digital products by developing and implementing data strategies that will help improve the customer experience.

                                                            -



                                                            What will you do in this role?

                                                            -



                                                            • Work cross-functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with digital banking, other analytics teams, and the data office.
                                                            • Measure performance during release of new digital solutions. Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                                            • Deep dive into data to identify opportunities, influence product development, and/or overall business strategies.
                                                            • Communicate and coordinate with teams to implement data-driven strategies while measuring progress.
                                                            • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experience.
                                                            • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.

                                                            -



                                                            Are you the right person for the role?

                                                            -


                                                            • You have a strong business acumen, and you excel at developing and communicating analytics insights.
                                                            • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                                                            • You have a high aptitude for diving in, taking ownership and picking up new things.
                                                            • You're eager to mentor, teach and share your ideas in a team environment.
                                                            • You have an open and transparent communication style, including the ability to distil technical details into easy-to-understand terms.

                                                            -


                                                            Do you have the skills that will enable you to succeed in this role?

                                                            -


                                                            • Ability to simplify and describe complex analytical concepts to non-technical stakeholders, and to tell a story with data.
                                                            • Experience using visualization tools like Power BI and ability to create dashboards with meaningful metrics.
                                                            • Ability to clean, transform and visualize large data sets working with various data formats.
                                                            • Proficient in one or more statistical programming languages (eg. Python, SQL, R); comfortable with creating large queries.
                                                            • Experience with digital analytics tools such as Adobe Analytics is a nice-to-have.
                                                            • Knowledge about common Machine Learning approaches (eg. feature engineering, classification, regression, clustering, NLP, time series forecasting) is a nice-to-have.

                                                            -


                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-04T14:18:59.261Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/172488959-data-strategist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,expired,2022-12-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -23909fb2-4707-465b-9513-3df6dd6f0b2c,171557153,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-11-28T17:24:02.099Z,"
                                                            -

                                                            Company Overview

                                                            -
                                                            -

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            -

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            -
                                                            +
                                                            • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                            • A rewarding career path with diverse opportunities for professional development
                                                            • Internal training to support your growth and enhance your skills.
                                                            • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                            • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily
                                                            • Hybrid Work Environment
                                                            • +
                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            +

                                                            At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-CID&A-ON-M2H0A1/578684017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-30T18:27:44.703Z,False,0,5,94,https://talenthub.vectorinstitute.ai/jobs/309234787-manager-business-intelligence-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-CID&A-ON-M2H0A1/578684017/,expired,2024-02-29T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,College Diploma,New Posting, +83e15694-eb13-48a5-b1b5-4f184258115e,341330809,CIBC,"Senior Business Analyst, Treasury Data Management",on_site,"Ontario, Canada",2024-09-09T07:48:01.892Z,"
                                                            +

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            -

                                                            Department Overview

                                                            -
                                                            -

                                                            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                            -

                                                            NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                            -

                                                            Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                            -
                                                            +

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                            -

                                                            If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                            -

                                                            As a Business Information Management Data Practitioner, you will:

                                                            +

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            +

                                                            +

                                                            What You’ll be Doing

                                                            +

                                                            +

                                                            The Senior Business Analyst will support the Director of Treasury Data Management working on various ongoing regulatory projects, mainly initiatives related to Liquidity Risk and Asset & Liability Management, to ensure the integrity of captured data in Treasury owned applications.

                                                            +

                                                            The incumbent will ensure that systems will continue to be executed on a daily, weekly, monthly and quarterly basis after implementation. The role is responsible to elicit requirements from business teams, suggest changes/improvements, ensure seamless development and end-to-end testing through all cycles. Also will properly document all activities and in accordance with the enterprise change management guidelines.

                                                            +

                                                            +

                                                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                            +

                                                            +

                                                            How you\'ll succeed

                                                              -
                                                            • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                            • -
                                                            • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                            • -
                                                            • Engage in business and data requirements to develop complete business solutions
                                                            • -
                                                            • Design and implement complex business data information management frameworks
                                                            • -
                                                            • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                            • -
                                                            • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                            • -
                                                            • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                            • +
                                                            • +Treasury Data Advisory, Solutions & Operations- Data & ETL enhancements/development: (i) Conduct user acceptance testing/quality assurance activities. & (ii) Recommend and assist in the development of new/enhanced reporting systems, policies, procedures and controls to meet user requirements, changing circumstances, and insufficiencies underlying the current processes. Modify established procedures and approaches to suit specific situations as per Treasury requirements. Provide value-added data analysis services to technology and business partners, specifically in Liquidity and Asset & Liability Management areas.
                                                            • +
                                                            • +Capital/Global Markets and Retail Distribution upstream systems data- Maintain an appropriate internal control environment including adequate documentation of changes in upstream systems affecting treasury data warehouse. Work with internal and/or external business partners when required. Identify and implement areas of improvement within the data warehouse, develop and implement sound business processes, practices and technical solutions to address business issues/challenges where applicable under the SOX404 guidelines, based on required changes.
                                                            -

                                                            -

                                                            Requirements

                                                            -
                                                            -

                                                            Potential Candidates interested in this role should have:

                                                            +

                                                            Who you are

                                                              -
                                                            • Undergraduate degree or technical certificate in a relevant field
                                                            • -
                                                            • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                            • -
                                                            • Experience in data programming languages, patterns and design principles
                                                            • -
                                                            • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                            • -
                                                            • Expertise in data storage and movement, including relational and big data
                                                            • -
                                                            • Strong analytical and problem-solving skills
                                                            • -
                                                            • In-depth knowledge of competitor and market trends
                                                            • -
                                                            • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                            • -
                                                            • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                            • -
                                                            • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                            • -
                                                            • Act as a brand champion for our business area / function and TD, both internally and externally
                                                            • +
                                                            • +You are a professional. Successful candidates must exhibit CIBC\'s values of trust, team work and accountability
                                                            • +
                                                            • +You have demonstrated experience. Industry-related experience in the areas of data warehousing, relational databases, end user (BI) reporting, ETL development and Capital Markets
                                                            • +
                                                            • +You have a degree. Equivalent to University degree in Business, Information Technology, Computer Science, Engineering or Mathematics
                                                            • +
                                                            • +Technical experience. Proficiency in SQL, MS Access, Microsoft Word, Excel and PowerPoint. Experience with Quantitative Risk Management (QRM) system is beneficial. Strong problem solving, analytical, judgment and reporting capabilities. Demonstrated strong attention to detail and accuracy
                                                            • +
                                                            • +Stakeholder Management. Ability to establish and build working relationships and partnerships with the business as well as peers and wide variety of stakeholders (Finance, Risk Management, Technology, etc.) Self-started, able to work independency and take ownership. Ability to manage deadlines while balancing multiple complex priorities
                                                            • +
                                                            • +You act like an owner. You thrive when you\'re empowered to take the lead, curiosity drives you to go above and beyond, and you take pride in building trust with your partners through your work. +
                                                            • +
                                                            • +You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
                                                            • +
                                                            • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                            -

                                                            -

                                                            Additional Information

                                                            -
                                                            -Data engineering:

                                                            +

                                                            +

                                                            What CIBC Offers

                                                            +

                                                            +

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                              -
                                                            • Degree in Computer Science
                                                            • -
                                                            • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                            • +
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                            • +
                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                            • +
                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                            -

                                                            #dataengineer #LI-Hybrid

                                                            -

                                                            Locations:

                                                            +

                                                            +

                                                            *Subject to plan and program terms and conditions

                                                            +

                                                            +

                                                            What you need to know

                                                              -
                                                            • Toronto
                                                            • -
                                                            • Montreal
                                                            • -
                                                            • Markham
                                                            • -
                                                            • London
                                                            • -
                                                            • Ottawa
                                                            • -
                                                            • New Jersey, USA
                                                            • -
                                                            • Delaware, USA
                                                            • +
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • +
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            • +
                                                            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                            -
                                                            * L7- L10
                                                            -

                                                            -

                                                            Hours

                                                            -
                                                            37.5

                                                            -

                                                            Inclusiveness

                                                            -

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-31T14:15:47.316Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/171557153-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-11-28T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3387741e-2865-4db7-b8aa-991e0f47cf1f,181831702,CN,"Intern, Solution and System Integration",on_site,"Ontario, Canada",2022-12-29T17:42:04.381Z,"
                                                            -

                                                            At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                            -

                                                            Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Solution and System Integration position in Montreal, Quebec for summer 2023 (May – August).

                                                            -

                                                            Job Summary

                                                            -

                                                            The Intern, Solution and System Integration is responsible for supporting the successful deployment of advanced infrastructure, telecom, Internet, Industrial Internet of Things (IoT), software development, applications and technology solutions, systems, and services. The role supports telecom team members in ensuring projects meet all business requirements and contributes to the global evolution of CN’s Information and Technology (I&T). The position plays a key role in the team, ensuring that the technology delivered is secure, reliable, available, resilient, performant, and aligned with safety standards as per business requirements. Specifically, the role is responsible for testing a variety of telecom changes in a lab environment to ensure successful production implementations (e.g., firmware, OS upgrades, routing changes)

                                                            -

                                                            Major Responsibilities

                                                            +

                                                            +

                                                            Job Location

                                                            Toronto-81 Bay, 26th Floor

                                                            +

                                                            Employment Type

                                                            Regular

                                                            +

                                                            Weekly Hours

                                                            37.5

                                                            +

                                                            Skills

                                                            Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Business-Analyst--Treasury-Data-Management_2419339?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-09-19T14:04:02.540Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/341330809-senior-business-analyst-treasury-data-management-at-cibc,,expired,2024-09-09T07:48:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a8fb55b2-506c-4a81-a041-638dd6167003,338769999,Cohere AI,"Member of Technical Staff, RAG",on_site,"Toronto, ON, Canada",2024-08-19T16:41:02.231Z,"
                                                            +
                                                            Who are we?
                                                            +
                                                            Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                            +

                                                            +
                                                            We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                            +

                                                            +
                                                            Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                            +

                                                            +
                                                            Join us on our mission and shape the future!
                                                            +

                                                            +
                                                            Why this role?
                                                            +

                                                            +
                                                            +Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. +
                                                            +

                                                            +
                                                            Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                                                            +
                                                            +
                                                            +

                                                            As a Member of Technical Staff, you will:

                                                            +
                                                                +
                                                              • Design, build and scale AI systems for serving our users.
                                                              • +
                                                              • Research, implement, and experiment with ideas on our supercomputer and data infrastructure.
                                                              • +
                                                              • Learn from and work with the best researchers, engineers and annotators in the field.
                                                              • +
                                                              • Drive agent development in RAG, tool use, and language agents.
                                                              • +
                                                              • Work with internal annotators in creating and evaluating data for post-training LLMs, ensuring quality and performance.
                                                              • +
                                                            +
                                                            +
                                                            +

                                                            You may be a good fit if you have:

                                                            +
                                                                +
                                                              • Extremely strong software engineering skills.
                                                              • +
                                                              • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                              • +
                                                              • Deep experience in AI data evaluation and managementStrong track record of creating and curating large-scale datasets
                                                              • +
                                                              • Experience using large-scale distributed training strategies.
                                                              • +
                                                              • Familiarity with autoregressive sequence models, such as Transformers.
                                                              • +
                                                              • Ability to collaborate effectively with human annotators and cross-functional teams.
                                                              • +
                                                              • Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                              • +
                                                            +
                                                            +
                                                            +
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            +

                                                            +
                                                            +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                            +

                                                            +
                                                            Our Perks:
                                                            +
                                                            🤝 An open and inclusive culture and work environment
                                                            +
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            +
                                                            🍽 Free daily lunch
                                                            +
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            +
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being
                                                            +
                                                            🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends
                                                            +
                                                            ✈️ Paid vacation
                                                            +
                                                            ",,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,feed-importer@jobboard.io,,,,2024-09-20T16:01:35.569Z,False,0,12,55,https://talenthub.vectorinstitute.ai/jobs/338769999-member-of-technical-staff-rag-at-cohere-ai,https://jobs.lever.co/cohere/d6569eb8-fe66-4269-9760-56371ece05a2,expired,2024-08-19T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, +8d997cd9-cf99-4d3b-985e-761a0a336201,341358448,Scotiabank,Data Analyst (12-Month Contract),on_site,Canada : Ontario : Mississauga,2024-09-09T16:30:08.202Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 205874

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            Purpose:

                                                            +


                                                            Contributes to the overall success of the Global Operations Analytics & Business Intelligence team in Canada, ensuring specific individual goals, plans, and initiatives are executed & delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                            +

                                                            +

                                                            Reporting to the Senior Manager, Analytics & Business Intelligence, the Data Analyst assists with the design, development, deployment, and sustainment of data solutions and the technology roadmap – in support of the data strategy – to effectively monitor, assess, and deploy analytics & reporting solutions for internal partners across Global Operations and International Banking units.

                                                            +

                                                            +

                                                            The Data Analyst is responsible for supporting the operational and strategic needs of the Analytics & Business intelligence program, and providing data analytics/reporting services to a variety of operating units across business functions and international geographies.

                                                            +


                                                            Is this role right for you? In this role, you will:

                                                            +


                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            +

                                                            • Develops, deploys, and sustains data analytics / reporting solutions and associated data flows, in alignment with strategic and tactical needs of the business

                                                            +

                                                            • Leads sessions with both technical and non-technical stakeholders to gather business requirements, identify root causes to problems, and recommend data solutions in support of business processes

                                                            +

                                                            • Develops and maintains strong knowledge of operational policies and procedures across Canadian Banking, International Banking, and other Global Operations units

                                                            +

                                                            • Actively contributes to ongoing projects and programs, ad-hoc initiatives, and partner workstreams across the GO Analytics & Business Intelligence service portfolio

                                                            +

                                                            • Documents, analyzes and recommends improvements to existing business processes with the aim of increasing process efficiency, improving productivity and/or reducing costs

                                                            +

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            +

                                                            • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                            +

                                                            • Contributes to a high performance and inclusive work environment.

                                                            +


                                                            Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

                                                            +


                                                            • Bachelor’s degree in engineering, business administration, finance, or another quantitative field (i.e. STEM)
                                                            • 3+ years of experience in data analytics, data engineering, and/or reporting in the financial services industry
                                                            • Advanced knowledge of Power BI (DAX), Microsoft Excel (Power Query, Data modelling/Power Pivot, advanced formulas), and SharePoint (Data flow set up and maintenance)
                                                            • Experience with SQL (preferably Microsoft SQL Server Management Studio, SSMS) in querying, structuring tables, and interacting with relational databases
                                                            • Demonstrated experience in the following areas: dashboard development, operational and executive reporting, data analysis and visualization, KPI production, data management and governance
                                                            • Strong interpersonal and communication skills; fluency in Spanish preferred
                                                            • Ability to manage multi-dimensional projects and workstreams from concept to completion within a matrix environment and across business lines

                                                            +


                                                            +

                                                            Work Arrangement:

                                                            +

                                                            +

                                                            • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                            +

                                                            +

                                                            Interested?

                                                            At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.

                                                            What's in it for you?

                                                            Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Mississauga

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Mississauga-Data-Analyst-%2812-Month-Contract%29-ON-L4W0B4/584311317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-19T20:37:00.000Z,False,0,19,135,https://talenthub.vectorinstitute.ai/jobs/341358448-data-analyst-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Analyst-%2812-Month-Contract%29-ON-L4W0B4/584311317/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0feb713e-cb8b-4754-81b0-470c38f3bf0f,341819801,RBC,Data Scientist,on_site,"Toronto, ON, Canada",2024-09-12T16:05:04.906Z,"
                                                            +

                                                            Job Summary

                                                            +

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill.

                                                            +

                                                            +

                                                            What will you do?

                                                              -
                                                            • Support telecom lab test plans through testing and document log results
                                                            • -
                                                            • Support the creation of solutions and migration plans that mitigate operational risk based on blueprint and test results from the lab
                                                            • -
                                                            • Support other integrators and work with them to address potential and current problems
                                                            • -
                                                            • Provide support during project migration or deployment through root cause and impact analysis in the lab
                                                            • -
                                                            • Support transition-to-core operations (e.g., update documentation, training plans)
                                                            • -
                                                            • Support financial estimates on overall solution costs and share information with project managers and stakeholders
                                                            • -
                                                            • Create technical diagrams and documentation for solutions and migration plans
                                                            • +
                                                            • Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment.

                                                            • +
                                                            • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

                                                            • +
                                                            • Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources.

                                                            • +
                                                            • Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment.

                                                            • +
                                                            • Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems.

                                                            • +
                                                            • Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources.

                                                            • +
                                                            • Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).

                                                            • +
                                                            • Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.

                                                            • +
                                                            • Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.

                                                            • +
                                                            • Utilizing APIs to collect data from various products into the Data Warehouse Database.

                                                            -

                                                            Requirements

                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +

                                                            Must have:

                                                              -
                                                            • Minimum 1 year of experience in detailed design and solution integration either in a professional or academic setting
                                                            • -
                                                            • Knowledge of Local Area Network (LAN) and Wide Area Network (WAN) routing and switching technologies (Cisco Certified Network Associate (CCNA) level)
                                                            • -
                                                            • Knowledge of Cisco Nexus platform*
                                                            • -
                                                            • Knowledge of Arista Spine and Leaf architectures*
                                                            • -
                                                            • Knowledge of any common monitoring tools in telecom, SolarWinds, or Nagios
                                                            • -
                                                            • Knowledge of automation in a telecom environment*
                                                            • -
                                                            • Knowledge of automation frameworks, development environments and technologies related to networking (e.g., Python scripting, Ansible and Git)
                                                            • -
                                                            • Knowledge of Agile methodology
                                                            • +
                                                            • University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).

                                                            • +
                                                            • Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc.

                                                            • +
                                                            • Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo).

                                                            • +
                                                            • Excellent knowledge in MS SQL Server DBA.

                                                            • +
                                                            • Good knowledge with Microsoft Windows Server Administration.

                                                            • +
                                                            • Excellent knowledge in Python, SQL and C# Programming languages.

                                                            • +
                                                            • Excellent Knowledge in cloud orchestration.

                                                            • +
                                                            • Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop.

                                                            • +
                                                            • Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis

                                                            • +
                                                            • Strong communication, collaboration, and problem-solving skills

                                                            • +
                                                            • Ability to prioritize work and manage multiple work streams concurrently

                                                            -

                                                            Education

                                                            -
                                                            • Working towards a Bachelor’s Degree in Commerce, Computer Science, Computer Engineering, Electrical Engineering, or equivalent
                                                            -

                                                            *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                            -

                                                            -

                                                            -

                                                            About CN

                                                            CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                            -

                                                            CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                            -
                                                            ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9632?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-05T17:47:11.058Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831702-intern-solution-and-system-integration-at-cn,,expired,2022-12-29T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -f38e89e8-de16-44ea-bec0-7d8cd98213f0,177790984,TD Bank Group,Automation Analyst Intern / Co-op,on_site,"Toronto, ON",2022-12-15T17:24:02.370Z,"
                                                            -

                                                            Company Overview

                                                            -
                                                            -

                                                            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                            -

                                                            Why TD?

                                                            -

                                                            TD’s Colleague Promise: A better you. A better us.

                                                            -

                                                            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                            -

                                                            -

                                                            Department Overview

                                                            -
                                                            -

                                                            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                            -

                                                            Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                            +

                                                            Nice-to-have:

                                                              -
                                                            • Leadership talks with key Leaders from across the organization
                                                            • -
                                                            • Lunch and Learns on topics such as Innovation
                                                            • -
                                                            • Diversity and Inclusion and Personal Branding and so much more
                                                            • +
                                                            • Ability to create data architectures.

                                                            • +
                                                            • Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive).

                                                            • +
                                                            • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.

                                                            • +
                                                            • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets.

                                                            • +
                                                            • Familiarity with structured and non-structured data.

                                                            • +
                                                            • A desire to learn new techniques and technologies

                                                            -

                                                            -

                                                            Job Description

                                                            -
                                                            -

                                                            TDI Automation team’s mandate is to unlock business value through Innovative Automation (IA). This type of work is about transforming how people work and interact with digital capabilities, rather than simply a technology implementation. Key considerations include process optimization and re-design and how robotics and artificial intelligence can improve the customer experience, while freeing up people’s time to focus on more value-adding activities.

                                                            -

                                                            Reporting to the Manager, Automation, the Analyst is responsible for supporting Pan-TDI Automation Program level deliverables and strategic initiatives to unlock business value through Innovative Automation capabilities. This individual will work closely with multiple stakeholders and teams including: Enterprise Automation Hubs, Business Optimization, Business Architecture, Enterprise Process Excellence, TDI Technology Services, Digital Channels, Customer Strategy and TD Insurance Operations. Together we will work to identify transformation and process improvement opportunities, deliver automated solutions, and champion proof of concepts which optimize customer and colleague experiences and improve operational efficiency.

                                                            -

                                                            Looking for a proven contributor with a passion for innovation and transformation. Seeking a continuous improvement mentality, strong communication, developing business acumen and digital literacy.

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                              -
                                                            • Support successful execution of relevant reporting, operational requests, and transactional requests for the business unit and/or client
                                                            • -
                                                            • Conduct less complex analytics and research, and obtain/share internal and external relevant business/market data
                                                            • -
                                                            • Assist with building and reviewing internal models, tools, processes, policies, presentations, and other related materials; challenge team and improve the underlying processes of functional area
                                                            • -
                                                            • Prioritize and manage own workload to meet service level agreement requirements for service and productivity
                                                            • -
                                                            • Consistently exercise discretion in managing information and all matters of confidentiality; raise issues where appropriate
                                                            • -
                                                            • Access systems, understand and apply system capabilities, ensure information is completed timely and accurately
                                                            • -
                                                            • Work autonomously and perform multiple and/or diverse tasks that are complex, involving multiple steps, systems, and jurisdictions
                                                            • -
                                                            • Apply expert knowledge across a broad range or variety of products, processes or systems within own area of specialty to process transactions and activities that could be characterized by moderate to high risk
                                                            • -
                                                            • Gather and analyze data to identify and solve complex problems, raise as required
                                                            • -
                                                            • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                                            • -
                                                            • Support the team by continuously improving knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
                                                            • -
                                                            • Participate in personal performance management and development activities, including cross training within own team
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • +
                                                            • Ability to make a difference and lasting impact

                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • +
                                                            • A world-class training program in financial services

                                                            • +
                                                            • Flexible work/life balance options

                                                            • +
                                                            • Opportunities to do challenging work

                                                            -

                                                            -

                                                            Requirements

                                                            -
                                                              -
                                                            • Current enrollment in a relevant post-secondary program
                                                            • -
                                                            • Over 1 year of related experience
                                                            • -
                                                            • Proficient with MS Office Suite and internet applications
                                                            • -
                                                            • Strong communications skills with positive personality and willingness to accept challenges
                                                            • -
                                                            • A strong analytical mind with attention to detail and desire to learn and grow
                                                            • -
                                                            • Deep dive learning of the automation process / capabilities acting as a TDI Automation expert
                                                            • -
                                                            • Collaborate with Manager to ensure strong Day 2 IA governance and controls, incident tracking, digital worker maintenance, support and change management
                                                            • -
                                                            • Develop and promote a culture of innovation and colleague development to create an environment dedicated to the future readying of colleagues’ digital and agile skills
                                                            • -
                                                            • Complete reoccurring and ad hoc benefits reporting by gathering operational metrics and supporting insights
                                                            • -
                                                            • Support overall program health by completing reviews of Process Detail Documents, SharePoint audits, gathering missing project artifacts, overseeing version control, and more
                                                            • -
                                                            • Identify opportunities for improvement to processes in production and supporting small scale deliverables
                                                            • -
                                                            • Role model behaviours consistent with TD’s Shared Commitments
                                                            • -
                                                            +

                                                            #TechPJ

                                                            +

                                                            #LI-Hybrid

                                                            +

                                                            #LI-Post

                                                            +

                                                            +

                                                            +

                                                            Job Skills

                                                            Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

                                                            +

                                                            +

                                                            +

                                                            Additional Job Details

                                                            +

                                                            Address:

                                                            RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                            City:

                                                            TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            TECHNOLOGY AND OPERATIONS

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2024-08-20

                                                            Application Deadline:

                                                            2024-09-30

                                                            +

                                                            +

                                                            +

                                                            +

                                                            +
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            +

                                                            +

                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000097028/Data-Scientist,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-19T20:38:00.000Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/341819801-data-scientist-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +8499e195-242b-4d10-8a77-6f8d2bf26417,342711331,Accenture,Data Scientist Consultant,on_site,"Toronto, ON, Canada",2024-09-19T12:37:02.174Z,"
                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            We are:

                                                            +

                                                            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                                            +

                                                            Stronger together!

                                                            +

                                                            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                                            +

                                                            The value for our clients and our people

                                                            +

                                                            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                                            +

                                                            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                                            +


                                                            The Work:

                                                            -

                                                            Additional Information

                                                            -
                                                            -

                                                            Early Talent Requirements

                                                            +
                                                              +
                                                            • Analyze large and complex datasets to extract actionable insights and identify trends.
                                                            • +
                                                            • Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
                                                            • +
                                                            • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
                                                            • +
                                                            • Design experiments and interpret results to test hypotheses and validate models.
                                                            • +
                                                            • Create data visualizations and dashboards to communicate findings and insights to stakeholders.
                                                            • +
                                                            • Ensure data quality, integrity, and accessibility through collaboration with data engineers.
                                                            • +
                                                            • Contribute to the continuous improvement of data science infrastructure and processes.
                                                            • +
                                                            show more show less
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +
                                                            +
                                                            +

                                                            Here’s what you need:

                                                              -
                                                            • This position is a 4-month work term and will commence May 1st – August 25th.
                                                            • -
                                                            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                            • -
                                                            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                            • -
                                                            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                            • +
                                                            • 3+ years knowledge of SQL and experience working with relational databases.
                                                            • +
                                                            • 2+ years’ experience developing predictive models and machine learning algorithms to solve business problems and optimize processes.
                                                            • +
                                                            • 2+ years’ experience collaborating with cross-functional teams to understand business requirements and translate them into data-driven solutions.
                                                            • +
                                                            • 2+ years’ experience in programming languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
                                                            • +
                                                            • 3+yearsexperience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate insights effectively.
                                                            • +
                                                            • Relevant exposure to Cloud Platforms (AWS/Azure/GCP)
                                                            • +
                                                            • This role is based in our Local ATCs in Montreal and will require you to be in person on-site 2-3 days per week.
                                                            • +
                                                            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                                            +

                                                            +

                                                            #LI-NA

                                                            +
                                                            +
                                                            +
                                                            +

                                                            +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                                            +
                                                            +

                                                            Our Commitment to Inclusion & Diversity

                                                            +

                                                            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                            +

                                                            Requesting An Accommodation

                                                            +

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            +

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                            +

                                                            Other Employment Statements

                                                            +

                                                            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                            +

                                                            Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                            +
                                                            +
                                                            +
                                                            Share
                                                            +
                                                            Share
                                                            +
                                                            Job Link:
                                                            Copy
                                                            +
                                                            +
                                                            +
                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228406_en&title=Data%20Scientist%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-09-23T08:49:02.245Z,False,0,20,78,https://talenthub.vectorinstitute.ai/jobs/342711331-data-scientist-consultant-at-accenture,,expired,2024-09-19T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, +d6924833-8822-40ba-b095-4d6297174f53,341819803,RBC,Senior Data Engineer,on_site,"Toronto, ON, Canada",2024-09-12T16:05:05.105Z,"
                                                            +

                                                            Job Summary

                                                            Examiner et opérationnaliser les sources de mégadonnées en utilisant des technologies et des procédés scientifiques pour découvrir des produits et des perspectives d’affaires et les communiquer. Gérer généralement deux services spécialisés ou plus composés de personnes assumant des rôles de supervision et de direction, de personnel de fonction et d’un nombre important de membres du personnel assurant un soutien opérationnel.

                                                            +

                                                            +

                                                            Job Description

                                                            -

                                                            Hours

                                                            -
                                                            37.5
                                                            +

                                                            What is the Opportunity?

                                                            -

                                                            Inclusiveness

                                                            -

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            The GRM Portfolio Risk Oversight group provides independent and effective on-site monitoring, control and communication on the nature and extent of material risks for Business Financial Services (BFS). We are looking for someone who can drive custom risk Analytics and Insights to business partners by building and operating a modern data stack for reporting & analytics. As a Senior Data Engineer you will contribute to the overall success of the BFS risk oversight strategies and objectives. You are accountable for architecting, implementing and managing data models and data pipelines, developing, maintaining and upscaling the cloud data platform/services vital to the continued growth of broader team

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/17470226/automation-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/177790984-automation-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470226/automation-analyst-intern-co-op-toronto-ca/,expired,2022-12-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, -9e7d99cb-893c-4462-9b6e-6ec81308bbdb,115686405,integrate.ai,Machine Learning Scientist - Privacy,on_site,Toronto,2022-03-20T05:06:06.720Z,"

                                                            At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                            -

                                                            We are looking for a Machine Learning Scientist (Privacy) to join our research team. This role delves into the art of the possible, and is neatly placed at the cross-section of cutting edge science and latest industry trends. It also represents a unique opportunity for someone who wants to work with a team of smart and passionate individuals committed to bringing new AI/ML products to the business enterprise world.

                                                            -

                                                            -

                                                            What you will be doing:

                                                            +

                                                            Portfolio Risk Oversight (PRO) is an extremely dynamic team, capable of proactively uncovering insights and risk trends by applying data science methodologies. To succeed you will have to develop and maintain strong ties with business leaders to support decision making through a combination of custom analytics and the evolution of the PRO data infrastructure. The PRO team leverages modern data stack, which requires constant refinements and enhancements to provide business users with relevant and timely self-serve analytics. You will ensure that our team is successful by leveraging the data in the best possible way. You will be a hands-on analytics practitioner and consultant to ensure that we track, maintain and analyze data in a way that leads us to optimize operational processes and make better business decisions.

                                                            +

                                                            +

                                                            What will you do?

                                                              -
                                                            • Researching and developing adversarial machine learning models to better understand different types of privacy threats, and establishing the evaluation framework for the privacy risk of machine learning models in practice.
                                                            • -
                                                            • Researching and developing privacy preserving methods to protect our machine learning solutions against the privacy risk, and add privacy preserving capabilities to our platform/product.
                                                            • -
                                                            • Conduct experiments that focus on reproducibility and reliability to test out complex ideas.
                                                            • -
                                                            • Present and share research findings in a clear manner through integrate.ai’s internal technical reports (and when appropriate, share these findings through external outlets such as paper publications and conference presentations).
                                                            • +
                                                            • Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution and monitoring of key transformational initiatives

                                                            • +
                                                            • Provide architecture guidance, performance tuning and big data engineering expertise for use cases that require capabilities in Federated Queries, Data Ingestion and Distributed Computing.

                                                            • +
                                                            • Building and supporting data engineering pipelines in Python using PySpark and Apache Airflow

                                                            • +
                                                            • Manage and optimizes an inventory of risk data sources. Responsible for compiling, aggregating, testing and validating different data repositories/sources for the risk dashboards ensuring completeness, accuracy, timeliness and integrity of information;

                                                            • +
                                                            • Develop data products by writing code that is modular, reliable, maintainable & replicable by leveraging open source data science libraries (Pandas, SQLAlchemy ,scikit-learn, airflow, pyarrow, nltk, spaCy)

                                                            • +
                                                            • Identify, design, and implement internal process improvements: automating manual processes, orchestrating and optimizing data delivery across on-premises data platforms, re-designing data models for greater scalability, etc.

                                                            • +
                                                            • Build on and optimize the existing foundation of data pipeline architectures required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various methods, programming languages, and software technologies, adjusting as needed to optimize effectiveness.

                                                            • +
                                                            • Coordinate Linux VMs maintenances and maintain Docker Containers and basic shell scripting

                                                            • +
                                                            +

                                                            +

                                                            What do you need to succeed?

                                                            +

                                                            Must-have:

                                                            +
                                                              +
                                                            • Bachelor’s degree in computer science, Information Technology, or a related field.

                                                            • +
                                                            • Experience working with containers and orchestration tools like (Docker, Kubernetes, Apache Airflow, CI/CD, etc.)

                                                            • +
                                                            • Must be proficient in working on Linux RHEL v8-9

                                                            • +
                                                            • Experience using Environments technologies such as Hadoop/Spark, Virtual Servers, SQL, Oracle, DB2, NoSQL/SQL databases, Storage SAN/NAS.

                                                            • +
                                                            • Expertise SQL, coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Spark.

                                                            • +
                                                            • Experience developing and maintaining reporting environments across multiple platforms (e.g. ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, Hadoop, Python, etc.).

                                                            • +
                                                            • Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database source.

                                                            -

                                                            You have:

                                                            +

                                                            +

                                                            Nice-to-have

                                                              -
                                                            • A Masters or PhD in Machine Learning, Applied Statistics, Computer Science, or a related quantitative discipline.
                                                            • -
                                                            • 5+ years of hands-on machine learning experience.
                                                            • -
                                                            • Expertise in at least one of the following areas: Adversarial machine learning, Cryptographic Approaches (e.g. homomorphic encryption), Perturbation Approaches (e.g. differential privacy).
                                                            • -
                                                            • High quality research publications and/or open-source projects.
                                                            • -
                                                            • Great proficiency in machine learning tools such as TensorFlow, PyTorch, Scikit Learn, Theano, Spark MLlib.
                                                            • +
                                                            • Knowledge of Credit Risk Modelling techniques

                                                            • +
                                                            • Experience working with Cloud Technologies

                                                            • +
                                                            • Experience working with Structured vs. Unstructured data

                                                            • +
                                                            • Extensive hands-on experience in designing, developing and maintaining software frameworks using Python, Spark, and Shell Scripts.

                                                            -

                                                            -

                                                            The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                            -

                                                            We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                            ",,https://boards.greenhouse.io/integrateai/jobs/5812582002,feed-importer@jobboard.io,,,,2022-04-21T19:33:30.994Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/115686405-machine-learning-scientist-privacy-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5812582002,expired,2022-03-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Masters Degree,New Posting, -f5b240b9-cdbe-4ff2-b884-301e71cb6324,116168379,Cohere AI,"Manager, Machine Learning",on_site,Toronto /,2022-03-22T05:06:04.341Z,"
                                                            -
                                                            Who are we?
                                                            -
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            -

                                                            -
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            -

                                                            -
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            -

                                                            -
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            -

                                                            -
                                                            Why this role?
                                                            -
                                                            Cohere is seeking exceptional leaders to help develop and direct one of the top AI / ML / NLP teams in the world. In this role, you will hire and mentor world-class scientists and engineers. You will use your expertise in machine learning to define strategy and direction for the development of our core technology. You will lead your team in developing Transformer-based large language models which are smarter, faster, safer, and easier to use than any in the world. And you will apply this technology to develop solutions to real human needs.
                                                            -

                                                            -
                                                            -Please Note: We have offices in Toronto, Canada and Palo Alto, USA, but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            -
                                                            -

                                                            As a Manager, Machine Learning, you will:

                                                            -
                                                                -
                                                              • Build and manage a team of world-class Machine Learning Engineers
                                                              • -
                                                              • Develop and execute a long-term research strategy
                                                              • -
                                                              • Design and develop innovations to our core ML/NLP technology
                                                              • -
                                                              • Coordinate with partners in Platform and Product teams on strategic direction
                                                              • -
                                                              • Train large language models with unparalleled accuracy, speed, safety, and ease of use
                                                              • -
                                                            -
                                                            -

                                                            You may be a good fit if:

                                                            -
                                                                -
                                                              • You have strong machine learning and NLP fundamentals
                                                              • -
                                                              • You have hands-on experience with Transformer-based neural network architectures
                                                              • -
                                                              • You have hands-on experience with large language models (LLMs) such as BERT and GPT-3
                                                              • -
                                                              • You have strong programming skills, especially in Python
                                                              • -
                                                              • You have demonstrated leadership in applied research and development
                                                              • -
                                                              • You have proven technology leadership skills like planning a technology roadmap
                                                              • -
                                                              • You are passionate about being a people manager and have experience hiring, coaching, assessing and managing performance
                                                              • -
                                                              • You have excellent written and verbal communication skills
                                                              • -
                                                              • You are comfortable presenting to large audiences and to execs
                                                              • -
                                                            -
                                                            -
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            -

                                                            -
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            -

                                                            -
                                                            Our Perks:
                                                            -
                                                            🤝 An open and inclusive culture and work environment
                                                            -
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            -
                                                            🍽 Free daily lunch
                                                            -
                                                            🦷 Full health and dental benefits for employees based in Canada and the US, including a separate budget to take care of your mental health
                                                            -
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            -
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            -
                                                            🏙 Remote-flexible, offices in Toronto and Palo Alto and coworking stipend
                                                            -
                                                            ✈️ 6 weeks of vacation and shared Canada/US holidays
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/cohere/c7e18a28-3d42-42bf-9416-d224d7b977ab,feed-importer@jobboard.io,,,,2022-04-21T19:39:00.000Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/116168379-manager-machine-learning-at-cohere-ai,https://jobs.lever.co/cohere/c7e18a28-3d42-42bf-9416-d224d7b977ab,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,Bachelors Degree,New Posting, -5a367624-9fde-4000-bbc1-80f3c1e44c52,116168388,EllisDon,Insights & Data Analytics Manager,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2022-03-22T05:06:06.238Z,"

                                                            Job Details

                                                            Description

                                                            -

                                                            Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                            -

                                                            Thinking about a change?

                                                            -

                                                            The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                                            -

                                                            Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                                            -

                                                            In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                                            -

                                                            You, as a Manager, Insights & Data Analytics will:

                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                              -
                                                            • - Manage and mentor an internal team of data professionals that provide analytical expertise for the entire organization (Analytics Centre of Excellence);
                                                            • -
                                                            • Draw on your extensive experience and knowledge in the areas of advanced analytics, data engineering, and data management to lead and coordinate data-centric projects and initiatives;
                                                            • -
                                                            • Collaborate with business stakeholders, engineers, and agile development teams to build innovative data-driven solutions that produce actionable insights to business partners;
                                                            • -
                                                            • Work closely with senior leadership and business stakeholders to identify and restructure business challenges into technical problems that are amenable to analytic solutions;
                                                            • -
                                                            • Provide guidance and oversight on the design and execution of custom data solutions, selection of tooling, and adoption of appropriate methodologies in response to internal or external client requirements;
                                                            • -
                                                            • As a change catalyst, formulate strategies to lead and navigate organizational improvements in the following areas: self-service business intelligence, data literacy, analytic maturity, and the overall state of data management;
                                                            • -
                                                            • Draw on your extensive experience and expertise to contribute towards the development and enhancement of best practices in key areas of: advanced analytics, data engineering, and data management;
                                                            • -
                                                            • -
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities

                                                            • +
                                                            • Ability to make a difference and lasting impact

                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team

                                                            • +
                                                            • A world-class training program in financial services

                                                            • +
                                                            • Flexible work/life balance options

                                                            • +
                                                            • Opportunities to do challenging work

                                                            -

                                                            Sounds challenging and exciting right? Here are a few of the attributes and experience you need to be successful in this position:

                                                            +

                                                            +

                                                            #TechPJ

                                                            +

                                                            #LI-Post

                                                            +

                                                            #LI-Hybrid

                                                            +

                                                            +

                                                            +

                                                            Job Skills

                                                            Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                            +

                                                            +

                                                            +

                                                            Additional Job Details

                                                            +

                                                            Address:

                                                            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                            City:

                                                            TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            GROUP RISK MANAGEMENT

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2024-07-12

                                                            Application Deadline:

                                                            2024-09-30

                                                            +

                                                            +

                                                            +

                                                            +

                                                            +
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            +

                                                            +

                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000093613/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-23T08:24:03.549Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/341819803-senior-data-engineer-at-rbc,,expired,2024-09-12T16:05:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +71501a62-ea60-4f92-85e2-a951fb0999fe,342710658,Thomson Reuters,"Senior SWE, Legal Prompter",on_site,"Ontario, Canada",2024-09-19T12:20:02.885Z,"
                                                            JOB DESCRIPTION
                                                            +
                                                            +

                                                            About the Role
                                                            We are seeking a creative Senior Software engineer to join the team behind CoCounsel. You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to attorneys all around the country. CoCounsel is already capable of writing legal research memos, summarizing and reviewing documents, and red-lining contracts, just to name a few capabilities--all in minutes, not days or weeks. And we\'re just getting started. As a Senior Software Engineer, Legal Tech Prompting, you will develop code as well as English prose prompts to LLMs to help expand CoCounsel\'s early success. This mix of writing instructions for an interpreter and an LLM is well-suited for someone who can produce reliable backend code, and can also write creative, lucid, and effective prose instructions. Our ideal candidate is a software engineer who can write high-quality code, work with APIs (consuming and serving), and also has domain knowledge of the law (JD, legal industry experience, etc.). A legal background is absolutely necessary.

                                                            As the Senior SWE, Legal Prompter, you will:
                                                            Orchestrate LLM-driven experiences that delight our customers
                                                            Develop code that interacts with state-of-the-art LLMs
                                                            Write, test, and iterate prose prompts for the LLM that leverage your legal domain knowledge, ensuring delivery of accurate, legally sound, and contextually appropriate responses
                                                            Develop code that interacts with data sources & services (APIs, SQL databases, etc.)
                                                            Liaise with legal professionals and other teams at Thomson Reuters to gather and understand requirements
                                                            Integrate the language models into multi-step systems, assessing their performance and making necessary modifications

                                                            About You
                                                            Legal domain expertise. This can mean experience in legal practice, a JD-holder in a “non-traditional” legal career path, a paralegal, or legal industry experience
                                                            3 to 4 years of production level experience in software engineering on an engineering/product team, preferably at a startup
                                                            Proficiency in C# .NET / Python - if C# .NET / python skills are low, then strong experience in other programming languages is necessary
                                                            Proficiency with APIs and SQL is a major plus
                                                            Excellent analytical and problem-solving skills
                                                            Ability to work both independently and in a collaborative environment
                                                            Creative and clear writing skills
                                                            Experience using large language models through code is preferred (such as model services from OpenAI, Anthropic, or Cohere; and/or open source models such as Llama and Mistral)

                                                            +


                                                            #LI-ES1

                                                            +

                                                            +

                                                            What\'s in it For You?

                                                            +
                                                            +


                                                            You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                              -
                                                            • Degree in Mathematics, Statistics, Engineering, Computer Science, or Data Management.
                                                            • -
                                                            • 8+ years of experience in a position managing, interrogating, and drawing insights from data.
                                                            • -
                                                            • 3+ years of experience in an analytics leadership capacity managing the processes and people responsible for data management, processing, modelling, and analysis.
                                                            • -
                                                            • Demonstrated experience designing, developing, and deploying business intelligence, big data, and machine learning solutions.
                                                            • -
                                                            • Knowledge and experience using analytical concepts, data mining principles, and statistical modelling techniques.
                                                            • -
                                                            • Expert-level proficiency and extensive experience with the following:
                                                                -
                                                              • Data Analysis: SQL, NoSQL, Python, Excel;
                                                              • -
                                                              • Business Intelligence: Tableau, PowerBI, and/or DundasBI;
                                                              • -
                                                              • Data-Warehousing: Integrate (ETL/ELT), Manage (Schema Design), Query, Analyze;
                                                              • -
                                                              • Database: relational and non-relational;
                                                              • -
                                                              • Data Management and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                                              • +
                                                              • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                              • +
                                                              • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                              • +
                                                              • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                              • +
                                                              • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                              • +
                                                              • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                              -
                                                            • -
                                                            • Practical working knowledge of the following areas:
                                                                -
                                                              • Agile Development Methodologies;
                                                              • -
                                                              • Data Architecture;
                                                              • -
                                                              • Cloud Services: (Google Cloud Platform, Azure);
                                                              • -
                                                              • Project Management Tools: JIRA, Wrike;
                                                              • +

                                                                +
                                                            In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

                                                            +

                                                            Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The location(s) for this role include one or more of the following metro locations: Los Angeles, New York City, San Francisco, Washington, DC. The base compensation range for the role in any of those locations is $100,900 - $187,300. The location(s) for this role include one or more of the following states: CA, CO, CT, IL, NV, TX, WA and/or remote. The base compensation range for the role in any of those locations is $91,700 - $170,300. The base compensation range in other locations may vary. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

                                                            +

                                                            This job posting will close 10/08/2024.


                                                            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                            +

                                                            +

                                                            We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                            +

                                                            +

                                                            Accessibility

                                                            +

                                                            +

                                                            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                            +

                                                            +

                                                            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                            +

                                                            +

                                                            +

                                                            Protect yourself from fraudulent job postings click here to know more.

                                                            +

                                                            +

                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                            +
                                                            ",,https://careers.thomsonreuters.com/us/en/job/JREQ178272/Senior-SWE-Legal-Prompter?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-09-23T08:32:02.799Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/342710658-senior-swe-legal-prompter-at-thomson-reuters,,expired,2024-09-19T12:20:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +2c13aea1-6bc2-4dce-ad3a-bbace13e5648,341358441,Scotiabank,GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-09-09T16:30:06.924Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 206540

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025

                                                            +

                                                            +

                                                            Term: January – April 2025

                                                            +

                                                            Location: 40 Temperance Street, Toronto

                                                            +

                                                            +

                                                            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                            +

                                                            +

                                                            As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                            +

                                                            +

                                                            Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                            +

                                                            +

                                                            Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                                            +

                                                            +

                                                            Is this role right for you? In this role, you will:

                                                            +
                                                            • Assist the development and testing of cutting-edge derivatives pricing models
                                                            • Build quantitative tools for trading and structuring desks
                                                            • Build and maintain infrastructure processes for new business lines
                                                            • Ad hoc investigations for trading and marketing desks
                                                            • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                            • Provide support to the trading and sales desks
                                                            - -
                                                          • Working knowledge of construction-related best practices and processes an asset;
                                                          • +

                                                            +

                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                            +
                                                            • You are currently enrolled in post-secondary education.
                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                                            • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                                            • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                                            • You have strong analytic and problem-solving skills.
                                                            • You have strong interpersonal skills, results oriented and a team player.
                                                            • You are able to work well in a fast-paced environment with changing priorities.
                                                            • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.

                                                            -

                                                            EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                                            -

                                                            Go ahead and be yourself. We'll pay you for it!

                                                            -

                                                            We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                                            -

                                                            Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                                            -

                                                            We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                                            Qualifications

                                                            Skills

                                                            Behaviors

                                                            :

                                                            Motivations

                                                            :

                                                            Education

                                                            Experience

                                                            Licenses & Certifications

                                                            ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,feed-importer@jobboard.io,,,,2022-04-21T19:43:13.698Z,False,0,1,31,https://talenthub.vectorinstitute.ai/jobs/116168388-insights-data-analytics-manager-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Manager,Bachelors Degree,New Posting, -a4bce708-98e7-4ae5-a90e-2cfa7ffb6b0e,119944980,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2022-04-12T05:06:05.774Z,"

                                                            -

                                                            +

                                                            What’s in it for you?

                                                            +
                                                            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                            • +
                                                            +

                                                            This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                            +

                                                            +

                                                            How do I apply?

                                                            +

                                                            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                            +

                                                            +
                                                            1. Complete your PLUM Profile here and save as a screenshot.
                                                            2. Complete a short one-way video interview here.
                                                            3. Complete a Codility assessment here.
                                                            4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript
                                                            5. +

                                                            +

                                                            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                            +

                                                            +

                                                            -

                                                            Requisition ID: 145794

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-23T16:35:05.316Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/341358441-gbm-gafe-financial-engineering-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +e97575cd-77b0-4d6e-9a27-24b2a87192ff,343307677,Scotiabank,"Senior Manager, Sales Application & Analytics",on_site,Canada : Ontario : Toronto,2024-09-23T16:30:02.431Z,"

                                                            -

                                                            Purpose:

                                                            -

                                                            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                            -


                                                            The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use.
                                                            We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

                                                            -


                                                            Key Accountabilities:

                                                            -


                                                            • Design and implement services and components to enable enterprise-wide use of data
                                                            • Automate and re-factor services code.
                                                            • Participate in design discussions focused on scalability and design and implementation best practices.
                                                            • Work closely with software/data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
                                                            • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                            • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                            • Support and maintain a successful product

                                                            +

                                                            Requisition ID: 206926

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -


                                                            Functional Competencies:

                                                            -


                                                            • 5+ years’ experience in building enterprise software
                                                            • Solid grasp of Object-Oriented principles
                                                            • 5+ years’ experience with object-oriented programming languages (e.g. Scala, Python, Java)
                                                            • 3+ years’ experience working with big data technologies (e.g. Spark, Hive)
                                                            • Understanding of data management disciplines such as data quality, data profiling, etc.
                                                            • 3+ years’ experience working with relational databases (e.g. MySQL, PostgreSQL)
                                                            • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
                                                            • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
                                                            • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability, and readability
                                                            • Proven strong analytical design, troubleshooting and problem solving skills
                                                            • Experience with performance tuning data pipelines
                                                            • Strong communication skills, both written and spoken
                                                            • Team player, self-starter, fast learner
                                                            • Attention to details, high standards for quality
                                                            • Writing and maintaining clear documentation
                                                            • Previous experience working in a technology company or financial institution a plus

                                                            -

                                                            +
                                                            +

                                                            Team Lead, Sales Application & Analytics - Small Business Banking

                                                            Contributes to the overall success of the Small Business department in Canada by ensuring specific individual goals, plans, initiatives are executed and delivered in support of the team’s business strategies and

                                                            objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                            The Team Lead, Sales Application & Analytics is responsible for managing the small business data infrastructure, delivering MIS that enables multiple stakeholders in the Small Business team to monitor & manage the health of

                                                            the portfolio, business activities and results efficiently and effectively based on timely and value added reporting of business performance. The incumbent will leverage his/her subject matter expertise on data,

                                                            database architecture, application design, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners.

                                                            Is this role right for you? In this role, you will:

                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            • Lead the oversight and ensure integrity of daily, weekly, monthly and quarterly reporting of business results to senior management and other stakeholders within the Small Business team, including the Field.

                                                            • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget.

                                                            • Manage Small Business (Source of Truth) database with existing SAS based DB2 data infrastructure to support current and ongoing business reporting – as well as collaborate with internal stakeholders for enable the teams Future Google Cloud Migration

                                                            • Lead automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            • Engage in high impact technology projects to provide subject matter expertise with respect to data architecture, systems integration and application design. Ensure integration of new advanced analytical tools into the analytical infrastructure.

                                                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                            • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                                                            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                            • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                            • MBA (Finance or Marketing) or MMA (Master of Management Analytics) - preferred
                                                            • Leadership experience in a professional setting
                                                            • 8+ years experience in Analytics and/or MIS/Reporting
                                                            • 8+ years experience in programming, application development and/or data warehousing
                                                            • Detailed experience in SQL, SAS, R or Python
                                                            • Strong working knowledge of Database Management and ETL processes
                                                            • Strong communication skills essential with clients, vendors and management
                                                            • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills

                                                            Working Conditions

                                                            • Work in a standard office-based environment; non-standard hours are a common occurrence. Limited travel domestically.

                                                            What's in it for you?

                                                            • The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
                                                            • A competitive compensation and benefits package.
                                                            • An organization committed to making a difference in our communities– for you and our customers.
                                                            • You can expect to be recognized and rewarded for high-performance. You’ll be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development.
                                                            • You’ll receive clear, transparent criteria to progress in your career.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-DevOps-Engineer-ON-M5C2V9/557694617/,feed-importer@jobboard.io,,,,2022-04-19T05:11:11.993Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/119944980-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-DevOps-Engineer-ON-M5C2V9/557694617/,expired,2022-04-12T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -21086792-7b38-4861-aa38-8109a1cc0890,122002663,EllisDon,Insights & Data Analytics Manager,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2022-04-22T05:06:06.029Z,"

                                                            Job Details

                                                            Description

                                                            -

                                                            Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                            -

                                                            Thinking about a change?

                                                            -

                                                            The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                                            -

                                                            Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                                            -

                                                            In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                                            -

                                                            You, as a Manager, Insights & Data Analytics will:

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Sales-Application-&-Analytics-ON-M5C2W1/584644217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-26T16:35:04.963Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/343307677-senior-manager-sales-application-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Sales-Application-&-Analytics-ON-M5C2W1/584644217/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8aa81915-57fe-468d-b5c1-49187ce9543f,343277155,Google,"Senior Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-09-23T08:34:03.890Z,"
                                                            +
                                                            +

                                                            Senior Software Developer, Front End, Applied AI

                                                            +
                                                            +
                                                            +
                                                            +
                                                            +
                                                              +
                                                            +
                                                            +
                                                            +
                                                            +
                                                            +

                                                            Minimum qualifications:

                                                              +
                                                            • Bachelor’s degree or equivalent practical experience.
                                                              +
                                                            • +
                                                            • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
                                                              +
                                                            • +
                                                            • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
                                                              +
                                                            • +
                                                            • 3 years of experience with front-end and user interface development.
                                                              +
                                                            • - Manage and mentor an internal team of data professionals that provide analytical expertise for the entire organization (Analytics Centre of Excellence);
                                                            • -
                                                            • Draw on your extensive experience and knowledge in the areas of advanced analytics, data engineering, and data management to lead and coordinate data-centric projects and initiatives;
                                                            • -
                                                            • Collaborate with business stakeholders, engineers, and agile development teams to build innovative data-driven solutions that produce actionable insights to business partners;
                                                            • -
                                                            • Work closely with senior leadership and business stakeholders to identify and restructure business challenges into technical problems that are amenable to analytic solutions;
                                                            • -
                                                            • Provide guidance and oversight on the design and execution of custom data solutions, selection of tooling, and adoption of appropriate methodologies in response to internal or external client requirements;
                                                            • -
                                                            • As a change catalyst, formulate strategies to lead and navigate organizational improvements in the following areas: self-service business intelligence, data literacy, analytic maturity, and the overall state of data management;
                                                            • -
                                                            • Draw on your extensive experience and expertise to contribute towards the development and enhancement of best practices in key areas of: advanced analytics, data engineering, and data management;
                                                            • -
                                                            • +
                                                              Experience with Large Language Models, NLP, or Generative AI.
                                                              +
                                                              +
                                                              +
                                                              +
                                                              +
                                                            -

                                                            Sounds challenging and exciting right? Here are a few of the attributes and experience you need to be successful in this position:

                                                            +

                                                            Preferred qualifications:

                                                              -
                                                            • Degree in Mathematics, Statistics, Engineering, Computer Science, or Data Management.
                                                            • -
                                                            • 8+ years of experience in a position managing, interrogating, and drawing insights from data.
                                                            • -
                                                            • 3+ years of experience in an analytics leadership capacity managing the processes and people responsible for data management, processing, modelling, and analysis.
                                                            • -
                                                            • Demonstrated experience designing, developing, and deploying business intelligence, big data, and machine learning solutions.
                                                            • -
                                                            • Knowledge and experience using analytical concepts, data mining principles, and statistical modelling techniques.
                                                            • -
                                                            • Expert-level proficiency and extensive experience with the following:
                                                                -
                                                              • Data Analysis: SQL, NoSQL, Python, Excel;
                                                              • -
                                                              • Business Intelligence: Tableau, PowerBI, and/or DundasBI;
                                                              • -
                                                              • Data-Warehousing: Integrate (ETL/ELT), Manage (Schema Design), Query, Analyze;
                                                              • -
                                                              • Database: relational and non-relational;
                                                              • -
                                                              • Data Management and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                                              • -
                                                              +
                                                            • Master\'s degree or PhD in Computer Science or related technical field.
                                                              +
                                                            • +
                                                            • 1 year of experience in a technical leadership role.
                                                              +
                                                            • +
                                                            • Experience developing accessible technologies.
                                                            • -
                                                            • Practical working knowledge of the following areas:
                                                                -
                                                              • Agile Development Methodologies;
                                                              • -
                                                              • Data Architecture;
                                                              • -
                                                              • Cloud Services: (Google Cloud Platform, Azure);
                                                              • -
                                                              • Project Management Tools: JIRA, Wrike;
                                                              +
                                                            +
                                                            +

                                                            About the job

                                                            +

                                                            Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                            +

                                                            Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                            +
                                                            +
                                                            +

                                                            Responsibilities

                                                            +
                                                              +
                                                            • Write and test product or system development code.
                                                              +
                                                            • +
                                                            • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                                              +
                                                            • +
                                                            • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                              +
                                                            • +
                                                            • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                                              +
                                                            • +
                                                            • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                            • -
                                                            • Working knowledge of construction-related best practices and processes an asset;
                                                            -

                                                            -

                                                            EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                                            -

                                                            Go ahead and be yourself. We'll pay you for it!

                                                            -

                                                            We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                                            -

                                                            Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                                            -

                                                            We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                                            Qualifications

                                                            Skills

                                                            Behaviors

                                                            :

                                                            Motivations

                                                            :

                                                            Education

                                                            Experience

                                                            Licenses & Certifications

                                                            ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002663-insights-data-analytics-manager-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Manager,Bachelors Degree,New Posting, -1ac03889-7392-4120-a6ff-f480aab553e5,122002657,Scotiabank,Senior Data Analyst (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-04-22T05:06:05.363Z,"

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Requisition ID: 135270

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            -

                                                            -

                                                            The Team

                                                            -

                                                            The Global Fraud Technology team develops and manages innovative products designed to continuously strengthen the bank’s posture against the ever-changing Fraud threat landscape. We are part of the Global Engineering and Operations Functions team and we work in close partnership with our Fraud Business and key Technology Partners throughout Scotiabank to drive implementation of global products that will protect and strengthen the bank. We work with advanced technologies and are looking for key team members that have a passion to learn and deliver.

                                                            -

                                                            -

                                                            The Role

                                                            -

                                                            Global Fraud Technology Team is looking for an energetic and results-oriented Data Analyst to join our team to help in continuing to build and enhance our Business Intelligence capabilities.

                                                            -

                                                            We’re looking to fill our team with influencers, makers, creators and leaders who are flexible, curious, adventurous, versatile and responsive; and who are ready to roll up their sleeves in a collaborative and productive environment to get things done.

                                                            -

                                                            -

                                                            Some of the Key Accountabilities include:

                                                            -
                                                            • Conduct discovery sessions with business teams to understand and capture their processes, formulate alternative to improve productivity using analytics and automation, and define the related key performance indicators
                                                            • Take on assigned data mining, analysis, profiling, and modeling activities and complete them within competing priorities and deadlines
                                                            • Devise design alternatives for ingesting data for analytics, management reports and dashboards
                                                            • Complete data and access governance assessments for internal and external regulatory and legislative compliance
                                                            • Prepare test plans and test cases and conduct and coordinate quality assurance testing with end-users and obtain business acceptance sign off
                                                            • Prepare defined documentation where required within the framework of the project and solution delivery – including and not limited to requirements, process and data flow diagram, and data mapping
                                                            • Contribute to the story mapping, creating user stories, and furnishing user stories with details were needed
                                                            • Work closely with business stakeholders, product owner, and developers and addressing their ad-hoc data, information, and analysis requests
                                                            • +
                                                            +
                                                            +

                                                            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                            +

                                                            Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                            +

                                                            If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                            +

                                                            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                            +

                                                            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                            +
                                                            +
                                                            ",,https://www.google.com/about/careers/applications/jobs/results/110055749463220934-senior-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-09-26T08:39:04.960Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/343277155-senior-software-developer-front-end-applied-ai-at-google,,expired,2024-09-23T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +3ed2042f-dafa-4e71-ad7a-370ea42fefa0,343277382,Accenture,AI & LLM Architect,on_site,"Toronto, ON, Canada",2024-09-23T08:44:02.036Z,"
                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            We are:

                                                            +

                                                            The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

                                                            +

                                                            Stronger together!

                                                            +

                                                            The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

                                                            +

                                                            The value for our clients and our people

                                                            +

                                                            For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

                                                            +

                                                            For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

                                                            +


                                                            The Work:

                                                            +

                                                            +
                                                              +
                                                            • As an AI and Large Language model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions.
                                                            • +
                                                            • Translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
                                                            • +
                                                            • Architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model\'s capabilities.
                                                            • +
                                                            • Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
                                                            • +
                                                            • Architect components of an LLM solution to address Responsible AI & Security
                                                            • +
                                                            • Design and prototype reusable components for LLM based solution patterns
                                                            • +
                                                            • Design LLM Ops solutions for large scale operationalization
                                                            -

                                                            -

                                                            What You Will Bring to Succeed

                                                            -
                                                            • You are curious and highly motivated to discover new relations in business data, understand and interpret data, tell the story of how it is used in business processes, and how to deliver business value by transforming it
                                                            • You have 5-7 years extensive knowledge of business intelligence tools and programming languages
                                                            • You have 5-7 years experience in working for large projects and have advanced experience with SQL, ETL, data analysis and profiling, data mapping, data modeling, data lakes, and analytics
                                                            • You are excellent in written and spoken English to clearly communicate complex issues and interface with all levels of the organization with ease
                                                            • You have excellent interpersonal, prioritization, and issues management skills for building strong collaborative relationships with stakeholders and coworkers
                                                            • You are highly organized, disciplined, and responsive in a fast paced and demanding environment
                                                            • You constantly and strongly demonstrate the core values that continuously advance the productivity of high-performing and self-organizing teams: respect, commitment, courage, openness, and focus
                                                            • +

                                                              +

                                                            show more show less
                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +
                                                            +
                                                            +

                                                            Here’s what you need:

                                                            +

                                                            +
                                                              +
                                                            • 2+ years of experience designing end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery. 
                                                            • +
                                                            • 2+ years’ experience leveraging, customizing and implementing Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
                                                            • +
                                                            • 2+ years’ experience interacting with stakeholders, understanding business requirements and coming up with a technical blueprint based on client needs
                                                            • +
                                                            • 2+ years’ experience creating and maintaining comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
                                                            • +
                                                            • 1+ year of experience analyzing and evaluating the performance of Gen AI systems and provide design recommendations.
                                                            • +
                                                            • Relevant exposure to cloud platforms (Azure/AWS/GCP)
                                                            • +
                                                            • 2+ years’ experience managing teams on an onsite/offshore model.
                                                            • +
                                                            • This role is based in our Local ATCs (Montreal) and will require on-site 2-3 days per week.
                                                            • +
                                                            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.
                                                            -

                                                            -

                                                            The Workplace

                                                            -
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                                            • +

                                                              +

                                                              +

                                                              #LI-NA #LI-MP

                                                              +
                                                            +
                                                            +
                                                            +

                                                            +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                                            +
                                                            +

                                                            Our Commitment to Inclusion & Diversity

                                                            +

                                                            At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                            +

                                                            Requesting An Accommodation

                                                            +

                                                            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                            +

                                                            If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                            +

                                                            Other Employment Statements

                                                            +

                                                            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                            +

                                                            Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                            +
                                                            +
                                                            +
                                                            Share
                                                            +
                                                            Share
                                                            +
                                                            Job Link:
                                                            Copy
                                                            +
                                                            +
                                                            +
                                                            +
                                                            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00228415_en&title=AI%20%26%20LLM%20Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-09-26T08:49:04.062Z,False,0,13,25,https://talenthub.vectorinstitute.ai/jobs/343277382-ai-llm-architect-at-accenture,,expired,2024-09-23T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,No Degree,New Posting, +d0c1dec6-7dac-4f09-8a9a-06b87c46990e,342354421,Roche,Data Management & Governance Analyst/ Specialist,on_site,"Ontario, Canada",2024-09-16T12:47:02.602Z,"
                                                            +

                                                            Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                            +

                                                            The Position

                                                            +

                                                            We advance science so that we all have more time with the people we love.

                                                            +

                                                            Are you excited about Data? Do you believe that data can make the organisation become more successful and efficient in achieving its goals? Do you want to take charge and drive new and exciting data related initiatives and adoption of new concepts such as Data Mesh? Then your place is with us!

                                                            +

                                                            We are the Data & Analytics Chapter, part of Integrated Informatics at Roche. We build excellence and mastery in next generation data and analytics capabilities, including but not limited to Data Science, Data Engineering, Analytics and Data Management & Governance. We release value from data - all the way from Discovery to Insights.

                                                            +

                                                            In addition to partnering with teams across the business to develop solutions, scale and automate data pipelines, Data & Analytics Chapter members are uniquely placed to connect the dots across initiatives, promote information sharing across domains and recommend re-use of data, analytics and solutions wherever possible.

                                                            +

                                                            We are looking for a Data Management & Governance specialist who will join us in the newly setup Integrated Informatics for a journey to drive and promote efficient and effective information management throughout the organisation.

                                                            +

                                                            The Data Management & Governance specialist must be the big-picture thinker who understands the value of data to the organisation and the importance of good information management practices including information lifecycle management, information modelling, master data management and business requirements gathering.

                                                            +

                                                            In this position you are responsible for improving business performance and cost optimization through the use of business glossaries, information models, repositories and flows to meet the requirements of the business strategies and business processes.

                                                            +

                                                            +The Opportunity:
                                                            +

                                                            +

                                                            You will work on various aspects of Data management and governance including but not limited to:

                                                            +
                                                              +
                                                            • Driving and taking the lead in identifying information value opportunities through strategic discussions with Senior Business and IT Leaders as needed and provides decision support

                                                            • +
                                                            • Acting as the Informatics representative to define Information and Data Strategies as part of an overall Business Strategy.

                                                            • +
                                                            • Identifying areas for improvement in terms of information flows and structure, automation, information representation and advising project teams in best practice and implementation

                                                            • +
                                                            • Improving the overall quality of the enterprise data assets through the effective application of best practice in information design

                                                            • +
                                                            • Backlog Management: Prioritise and maintain the product backlog, making continuous adjustments to reflect changing priorities and market dynamics.

                                                            • +
                                                            • Transform requirements into detailed user stories, acceptance criteria, and mockups that guide the development process.

                                                            • +
                                                            • Following up on the resolution of Incidents (e.g. maintaining the customer informed).

                                                            -

                                                            -

                                                            Scotiabank

                                                            -

                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            -

                                                            -

                                                            Is this Role not the Exact fit?

                                                            -

                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            -

                                                            -

                                                            #Ottawahub

                                                            -

                                                            -

                                                            Location(s): Canada : Ontario : Ottawa

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Remote-Ottawa-Hub%29-ON/553336817/,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002657-senior-data-analyst-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Remote-Ottawa-Hub%29-ON/553336817/,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -dadffc71-bbe9-4d32-9cce-e46c0442ec7e,122002659,Scotiabank,Senior Data Scientist,on_site,Canada : Ontario : Toronto,2022-04-22T05:06:05.566Z,"

                                                            -

                                                            +

                                                            +Who you are:
                                                            +

                                                            +
                                                              +
                                                            • 5+ years of data strategy and data governance, preferably in a consulting environment with a min Bachelor’s Degree

                                                            • +
                                                            • Is principally focused on enterprise information solutions, such as master data management, metadata management, business intelligence, data interoperability, data analysis, data quality, data integration.

                                                            • +
                                                            • Understands Data Mesh paradigm

                                                            • +
                                                            • Exhibits an Agile mindset

                                                            • +
                                                            • Understands database structures and their relationships, as well as data models and data standards.

                                                            • +
                                                            • Ability to create advanced SQL queries as well as the ability to work with REST APIs through tools such as Postman.

                                                            • +
                                                            +

                                                            Relocation Benefits are not avaible for this posting.

                                                            +

                                                            Who we are

                                                            +

                                                            At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                            +

                                                            Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                                            +

                                                            As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                            +
                                                            +

                                                            Roche is an Equal Opportunity Employer.

                                                            +
                                                            +
                                                            ",,https://careers.roche.com/global/en/job/202406-114750/Data-Management-Governance-Analyst-Specialist,feed-importer@jobboard.io,,,,2024-09-26T09:03:04.665Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/342354421-data-management-governance-analyst-specialist-at-roche,,expired,2024-09-16T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, +e76913b2-029c-4fda-87fe-9b7bc7b17a7f,343307868,Magna International,Data Scientist Student,on_site,"Concord, ONTARIO, CA, L4K 2R2",2024-09-23T16:41:02.231Z,"
                                                            +
                                                            +

                                                            About the Role

                                                            +

                                                            As a Data Scientist Intern, you will play a key role in supporting our Industry 4.0 and Artificial Intelligence (AI) initiatives specifically focused on optimizing our manufacturing processes for exterior trim parts. You will collaborate with cross-functional teams to collect, analyze, and interpret large datasets to provide insights and solutions that enhance our manufacturing operations, including co-extrusion, assembly, and molding.

                                                            +
                                                            +
                                                            +

                                                            Your Responsibilities

                                                            +
                                                            1. Work with the Data Science, Artificial Intelligence and Information Technology teams to work on and accomplish goals set out by the facility.
                                                            2. Develop and implement data-driven models and algorithms that leverage machine learning and AI techniques to improve operational efficiency, quality, and productivity in co-extrusion, assembly, and molding.
                                                            3. Employ statistical analysis and predictive modeling techniques to identify trends, patterns, and areas for process improvement.
                                                            4. Clean, preprocess, and validate large datasets related to co-extrusion, assembly, and molding to ensure accuracy and reliability.
                                                            5. Conduct supervised experiments, A/B testing, and perform statistical analysis to measure the impact of proposed solutions on manufacturing operations.
                                                            6. +Communicate findings and results in a clear and concise manner to stakeholders, including management, engineers, and manufacturing teams. Collaborate with Data Scientists, Software Developers and Engineers to integrate data-driven solutions into production systems and optimize the manufacturing processes. +
                                                            7. +
                                                            +
                                                            +
                                                            +

                                                            Who we are looking for

                                                            +
                                                            • Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
                                                            • Proficient in programming languages such as Python, R, or SQL, with a solid understanding of data structures and algorithms.
                                                            • Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
                                                            • Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
                                                            • Working with data tools and protocols such as Kepware, MQTT and Mosquito
                                                            • +
                                                            +
                                                            +
                                                            +

                                                            Your preferred qualifications

                                                            +
                                                            +

                                                            Accommodations for disabilities in relation to the job selection process are available upon request.

                                                            +

                                                            Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            What we offer

                                                            +

                                                            At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

                                                            +
                                                            +
                                                            +

                                                            Site Benefits

                                                            +
                                                            • Corporate Plans for Roger's Cellphone Data Plans

                                                            • Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

                                                            • +
                                                            +
                                                            +
                                                            +

                                                            Awareness. Unity. Empowerment.

                                                            +

                                                            At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                            +
                                                            +
                                                            ",,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-09-26T16:46:07.035Z,False,0,29,129,https://talenthub.vectorinstitute.ai/jobs/343307868-data-scientist-student-at-magna-international,https://jobs.magna.com/job/Concord-Data-Scientist-Student-ONTA-L4K-2R2/583962417/,expired,2024-09-23T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, +ab0d4479-9268-40a3-b4ba-f4d208cb037c,130798459,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Don Mills, Ontario",2022-06-10T18:19:10.064Z,"

                                                            Req Id: 377233

                                                            +

                                                            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                                            -

                                                            Requisition ID: 148281

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                            -

                                                            Purpose:

                                                            +

                                                            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate. If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                            +

                                                            Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                            +

                                                            The Data Insights and Analytics team is seeking a dynamic, innovative and strategic analyst to play a key role in transforming the organization with a unique focus on loyalty and retention analytics. We’re looking for a candidate who is proactive and continuously seeking new opportunities to improve, with a keen focus on performance measurement. They need to be capable of interpreting results and data to generate insight, with the ability to think outside the box and drive new unique approaches. The ability to influence and deliver results with cross-functional business units is essential.

                                                            +

                                                            If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you! This is an agile development environment, working with the latest BI visualization tools and technologies.

                                                            +

                                                            Key responsibilities:

                                                            +
                                                              +
                                                            • Detailed analysis of key churn drivers in customer behavior, identifying loyalty process improvement opportunities and aiding in the creation of strategies / holistic programs to reduce churn
                                                            • +
                                                            • Working within a team of BI analysts to maintain and build automated and ad hoc reporting assets
                                                            • +
                                                            • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting various business functions
                                                            • +
                                                            • Excellent leadership and communication skills required to work cross functionally with business users, other analysis teams, development teams, and IT teams
                                                            • +
                                                            • Deliver on projects and data strategies that directly support key business drivers
                                                            • +
                                                            • Work with and present to various management levels
                                                            • +
                                                            • Maintain and expand your knowledge of BI and current technology through training opportunities
                                                            • +
                                                            +

                                                            Required Competencies:

                                                            +
                                                              +
                                                            • +You have a Bachelors or Masters degree, in a discipline such as:
                                                                +
                                                              • Business analytics / business intelligence
                                                              • +
                                                              • Applied math,
                                                              • +
                                                              • Computer science,
                                                              • +
                                                              • Applied science / engineering,
                                                              • +
                                                              • Economics/econometrics,
                                                              • +
                                                              • Commerce
                                                              • +
                                                              • Management science / operations research
                                                              • +
                                                              +
                                                            • +
                                                            • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                                            • +
                                                            • You are highly analytical and understand the basic principles of working with large and complex data sets
                                                            • +
                                                            • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                            • +
                                                            • You have the ability to work with a team towards common goals
                                                            • +
                                                            • You are able to manage multiple projects and priorities.
                                                            • +
                                                            • You are a self starter who is comfortable working with and presenting to all management levels
                                                            • +
                                                            +

                                                            +

                                                            Preferred Competencies:

                                                            +
                                                              +
                                                            • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                                            • +
                                                            • Experience with BI and data warehouse technologies
                                                            • +
                                                            • Basic working knowledge of project management steps
                                                            • +
                                                            • Experience in Telecommunications
                                                            • +

                                                            -

                                                            The Senior Data Scientist role in the Customer Insights, Data & Analytics team is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities, in partnership with global teams and business lines driving innovation and advanced analytics across the Enterprise. As part of the Advanced Analytics team, the Senior Data Scientist is responsible for developing, executing, and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive customer acquisition, retention, balance growth, crosssell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies. .

                                                            +

                                                            #EmployeeReferralProgram

                                                            -

                                                            Accountabilities:

                                                            +

                                                            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                            -

                                                            • Research, develop, and implement end-to-end machine learning production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.

                                                            -

                                                            • Apply statistical, analytical, and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.

                                                            -

                                                            • Lead strategy design thinking with business partners and stakeholders to identify and recommend opportunities based on data-driven solutions.

                                                            -

                                                            • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.

                                                            -

                                                            • Collaborate with Data engineering teams to deploy models and algorithms in production, across business lines and geographies

                                                            -

                                                            • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.

                                                            -

                                                            • Present results to business line stakeholders and help implement real data-driven changes

                                                            -

                                                            • Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions

                                                            -

                                                            • Support analytical use-case delivery, as well as customer/financial benefits tracking and communication

                                                            +

                                                            Additional Information:

                                                            +

                                                            Position Type: Management
                                                            Job Status:
                                                            Regular Term - Full Time
                                                            Job Location:
                                                            Canada : Ontario : Don Mills
                                                            Flexible work profile :
                                                            Mobile
                                                            Application Deadline: 06/17/2022

                                                            -

                                                            Requirements & Qualifications:

                                                            +

                                                            Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                            -

                                                            The candidate will be at the intersection of math/stats, computer science, communication, the business line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to drive innovation and digital transformation throughout the Bank and Corporate

                                                            -

                                                            • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)

                                                            -

                                                            • Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g. cross-sell, upsell, attrition, acquisition and lookalike models)

                                                            -

                                                            • Programming skills in Java, C++ or Python • Solid knowledge in machine Learning libraries in R, Python, Spark • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)

                                                            -

                                                            • Experience using visualization tools such as Tableau and Power BI would be an asset

                                                            -

                                                            • Ability to ingest and work with large volumes of structured and unstructured nontraditional data

                                                            -

                                                            • Working experience with machine learning and other AI techniques for strategy design

                                                            -

                                                            • Working knowledge of strategy optimization leveraging operations research principles would be an asset

                                                            -

                                                            • Strong collaboration skills with ability to translate technical knowledge into business value

                                                            +

                                                            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                            +

                                                            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                            -

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2W1/558476917/,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002659-senior-data-scientist-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2W1/558476917/,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -77d5ff1e-71fd-4dfa-8e15-a53e427c8881,118547042,Loblaw Companies Ltd.,"Senior Analyst, Data Quality, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-04-04T18:00:14.276Z,"
                                                            -
                                                            -
                                                            -

                                                            Referred applicants should not apply directly to this role.

                                                            -

                                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                            -

                                                            -

                                                            -

                                                            Location:

                                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                            -

                                                            -

                                                            Inspired by food? Committed to excellent service? So are we.
                                                            At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                            -

                                                            -

                                                            Why is this role important?

                                                            -

                                                            What You'll Do:

                                                            +

                                                            Created: Canada, ON, Don Mills

                                                            +

                                                            #Talent #Indeed #Tech

                                                            +

                                                            Bell, one of Canada's Top 100 Employers.

                                                            ",,https://jobs.bell.ca/ca/en/job/BECACA377233EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130798459-data-analyst-business-intelligence-at-bell-canada,BECACA377233EXTERNALENCA,expired,2022-06-10T18:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +e8c141a1-ff11-48dd-9075-c70317f86235,130552159,TD Bank Group,Senior Data Analyst,on_site,"Toronto, ON",2022-06-09T21:06:24.397Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +
                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                            +

                                                            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                            +

                                                            This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                            +

                                                            Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                            +
                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                                                            +

                                                            As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                                                            +

                                                            Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                                                            +

                                                            As a Senior Business Intelligence & Reporting Analyst, you will:

                                                            +

                                                            +
                                                          • Produce specialized reporting packages, dashboards and scorecards for businesses
                                                          • +
                                                          • Lead the implementation of initiatives in support of overall business/function strategy
                                                          • +
                                                          • Conduct analysis to provide improved BI to inform management leadership team
                                                          • +
                                                          • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                                                          • +
                                                          • Validate the quality and integrity of the data included in all reporting
                                                          • +
                                                          • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                                                          • +
                                                          • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                                                          • +
                                                          • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                                                          • +
                                                          • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                                                          • +
                                                          • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                          • +
                                                          • Work independently as the senior analyst / expert and may provide technical support to others
                                                          • +
                                                          • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                                                          • +
                                                          • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                          • +

                                                            `

                                                            +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +

                                                            What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • Design and develop appropriate data quality solutions such as; data profiling discovery, data rules development, root cause analysis, proactive measures within a cloud or on-prem environment using world-class tools and technology
                                                            • -
                                                            • Drive Data Quality adoption & maturity through DQ capability improvements and change management activities
                                                            • -
                                                            • Elicit & translate business friendly rules to develop technical code within a data quality tool
                                                            • -
                                                            • Produce insights on current state data health to recommend data standards and rules required to monitor critical data
                                                            • -
                                                            • Provide proactive data quality recommendations to prevent issues from occurring
                                                            • -
                                                            • Collaborate with Data Stewards and Business & Technical stakeholders to assess, root cause and drive resolution of critical data quality issues as needed
                                                            • -
                                                            • Participate in auditing activities to provide root cause analysis and data issue remediation support as required
                                                            • -
                                                            • Consult with internal and external stakeholders to uphold data quality and data management best practices. Provide advisory and education to stakeholders as needed
                                                            • -
                                                            • Demonstrate CORE (Care, Ownership, Respect, Excellence) values
                                                            • -
                                                            • Other duties as required
                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Five (5) or more years relevant experience
                                                            -

                                                            -

                                                            What You'll Bring:

                                                            +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130552159-senior-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,expired,2022-06-09T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a0e0f49e-9d2a-47d2-ad30-776a35e7c330,125432569,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-05-14T21:46:11.779Z,"

                                                            What\'s the opportunity?

                                                            +
                                                            +

                                                            We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                            +

                                                            +

                                                            As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                            +

                                                            Your responsibilities include:

                                                            +
                                                              +
                                                            • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                            • +
                                                            • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                            • +
                                                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                            • +
                                                            • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                            • +
                                                            • Grow and develop the team, helping each team member advance in their career.
                                                            • +
                                                            +

                                                            You\'re our ideal candidate if you:

                                                              -
                                                            • 4-6 years of data quality work experience required
                                                            • -
                                                            • Post-secondary education in Statistics, Engineering, Business, Computer Science or related field of study degree preferred
                                                            • -
                                                            • Experience with data quality tools (Informatica Data Quality) and visualization tools (PowerBI) required
                                                            • -
                                                            • Proficient at writing complex queries and validating results using SQL and Python
                                                            • -
                                                            • Experience in cloud-based platform such as Google Cloud, Azure, Amazon Web Services required
                                                            • -
                                                            • Experience with using natural language processing and anomaly detection techniques for data quality activities an asset
                                                            • -
                                                            • Experience assessing data quality within noSQL database structures such as mongoDB and neo4j an asset
                                                            • -
                                                            • Strong prioritization and organizational skills required
                                                            • -
                                                            • Tenacious approach to effectively drive discussions and influence successful outcomes with stakeholders required
                                                            • -
                                                            • Ability to multi-task with strong attention to detail and analytical skills required
                                                            • -
                                                            • Advanced Productivity Tool skills (Excel, Word, PowerPoint, Confluence, Jira, Slack, SharePoint) required
                                                            • +
                                                            • Have 7+ years of experience delivering software projects to production;
                                                            • +
                                                            • Have experience managing a team of engineers;
                                                            • +
                                                            • Have experience developing modular, robust, scalable software in a modern programming language;
                                                            • +
                                                            • Experience working with business, product and other technical teams;
                                                            • +
                                                            • Experience with scaling and performance of large systems;
                                                            • +
                                                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                            • +
                                                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                            • +
                                                            • Have background in machine learning or a related field;
                                                            • +
                                                            • Experience with Capital Markets or any financial domain is a big plus.
                                                            -

                                                            -

                                                            What You Can Expect:

                                                            -

                                                            We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                            -

                                                            -

                                                            Other perks of joining Loblaw:

                                                            +
                                                            +

                                                            What\'s in it for you?

                                                              -
                                                            • Competitive compensation and benefits package
                                                            • -
                                                            • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                            • -
                                                            • A flexible work environment which values balance
                                                            • -
                                                            • Colleague Discount Program
                                                            • -
                                                            • Tuition reimbursement Program
                                                            • -
                                                            • Employee Share Ownership plan
                                                            • -
                                                            • Pension Plan
                                                            • +
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • +
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • +
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            -

                                                            -

                                                            If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                            -

                                                            -

                                                            We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                            -

                                                            -

                                                            -

                                                            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Employment Type:

                                                            Full time

                                                            -

                                                            -

                                                            Type of Role:

                                                            Regular

                                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                            -

                                                            -

                                                            Please Note:  
                                                            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                            +

                                                            About Borealis AI

                                                            +

                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-06-15T14:27:33.595Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/125432569-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-05-14T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +35a5c767-e6da-4da6-91ae-73bd0ef57b2a,130372299,Cohere AI,Machine Learning Education Lead,on_site,Toronto /,2022-06-09T05:06:11.463Z,"
                                                            +
                                                            Who are we?
                                                            +
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            +

                                                            +
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            +

                                                            +
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            +

                                                            +
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            +

                                                            +
                                                            Why this role?
                                                            +
                                                            Cohere is dedicated to lowering the barriers to entry to machine learning research and supporting a community of independent research talent across the world. We are committed to collaborating widely and empowering independent researchers around the world.
                                                            +

                                                            +
                                                            As a Machine Learning Education Lead, you have an independent high impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work demonstrates consideration for the societal and ethical implications of machine learning. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.
                                                            +

                                                            +
                                                            +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            -
                                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/118547042-senior-analyst-data-quality-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-04-04T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -4df6a222-8452-4a1a-b994-d911c3dd437f,117494130,Loblaw Companies Ltd.,"Senior Analyst, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-31T18:00:04.395Z,"
                                                            -
                                                            -
                                                            -

                                                            Referred applicants should not apply directly to this role.

                                                            -

                                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                            -

                                                            -

                                                            -

                                                            Location:

                                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                            -

                                                            -

                                                            Inspired by food? Committed to excellent service? So are we.
                                                            At Loblaw, we are Food Lovers!
                                                            We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                            -

                                                            -

                                                            Why is this role important?

                                                            -

                                                            Does working with some of Canada’s most versatile minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology & Analytics powers game-changing retail solutions, giving our customers the ability to live their lives well.

                                                            -

                                                            -

                                                            Come work with a team that values diverse ideas, prioritizes a culture of inclusion and develops our talent from within. Loblaw Technology & Analytics gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!

                                                            -

                                                            -

                                                            Sr. Analyst, Data Governance, Brampton, ON

                                                            -

                                                            The Data Governance team at Loblaw is hiring a Sr. Analyst, with a well-rounded experience with data. Working with the Director, Data Governance, the incumbent will lead and handle our Data Governance tooling to mature data management and achieve our ultimate goal of becoming a data-driven organization.

                                                            -

                                                            -

                                                            As a Sr. Analyst in the Data Governance team, you will have the opportunity to.....

                                                            -

                                                            -

                                                            What You'll Do:

                                                            -
                                                              -
                                                            • Perform research to resolve end-user needs and lead the product roadmap
                                                            • -
                                                            • Actively focusing on growing adoption of the tooling and reporting back on trends
                                                            • -
                                                            • Plan out and successfully facilitate any upgrades with respect to the tooling and help implement new features with our Technology Partners
                                                            • -
                                                            • Be a change agent for the tool, when changes come through, ensure change management best practices are being followed to successfully execute the change
                                                            • -
                                                            • Resolve any issues by working with our Technology Partners
                                                            • -
                                                            -

                                                            -

                                                            What You Bring

                                                            -
                                                              -
                                                            • 5 years of experience in a major services organization, with large-scale data or product management and oversight experience.
                                                            • -
                                                            • Post-secondary education in Marketing, Engineering, Computer Science or related field of study degree preferred
                                                            • -
                                                            • Proven product management skills, with design thinking & change management concepts and strategies, including communication and culture change
                                                            • -
                                                            • Proven track record of translating business requirements into a strategic roadmap
                                                            • -
                                                            • Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
                                                            • -
                                                            -

                                                            -

                                                            What Loblaw Offers You

                                                            -

                                                            -

                                                            We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located.

                                                            -

                                                            -

                                                            Here, you will find a phenomenal team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.

                                                            -

                                                            -

                                                            Loblaw colleagues also enjoy:

                                                            +
                                                            +

                                                            As a Machine Learning Education Lead, you will have:

                                                            +
                                                                +
                                                              • Ph.D. or equivalent research experience
                                                              • +
                                                              • Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
                                                              • +
                                                              • Strong machine learning and NLP fundamentals
                                                              • +
                                                            +
                                                            +
                                                            +

                                                            You may be a good fit if you:

                                                            +
                                                                +
                                                              • Enjoy collaborating widely
                                                              • +
                                                              • Have a track record of mentorship and are excited to democratize access to machine learning
                                                              • +
                                                            +
                                                            +
                                                            +
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            +

                                                            +
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            +

                                                            +
                                                            Our Perks:
                                                            +
                                                            🤝 An open and inclusive culture and work environment
                                                            +
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            +
                                                            🍽 Free daily lunch
                                                            +
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            +
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            +
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            +
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            +
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            +

                                                            +
                                                            #LI-Remote
                                                            +
                                                            ",,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,feed-importer@jobboard.io,,,,2022-06-17T05:12:09.463Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/130372299-machine-learning-education-lead-at-cohere-ai,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,expired,2022-06-09T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Team Lead,PhD,New Posting, +6eeb536f-410b-49ca-b219-8d950b9916ee,129843422,RBC,"Manager, Reporting, Automation & Analyst",on_site,"Toronto, ON, Canada",2022-06-06T12:53:04.501Z,"
                                                            +

                                                            Come Work with Us!

                                                            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                            +

                                                            Job Title

                                                            Manager, Reporting, Automation & Analyst

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            What is the opportunity?

                                                            +

                                                            RBC is currently recruiting for the exciting role of Manager, Reporting & Analytics. In this role, you will work directly with product / client partners in Client Profile Segment Team, especially the Newcomer & Cultural Client teams, to fulfill the following critical roles:

                                                            +
                                                              +
                                                            • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
                                                            • +
                                                            • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
                                                            • +
                                                            +

                                                            +

                                                            What will you do?

                                                            +
                                                              +
                                                            • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
                                                            • +
                                                            • Influence the approach to answering business questions with deep RBC product insights.
                                                            • +
                                                            • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics.
                                                            • +
                                                            +
                                                            • Increase the standardization and efficiency of regular reporting.
                                                            +
                                                              +
                                                            • Manage day-to-day workflow and negotiate realistic timelines.
                                                            • +
                                                            • Participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
                                                            • +
                                                            • Ensure compliance and privacy guidelines are strictly adhered to.
                                                            • +
                                                            +

                                                            +

                                                            Must-have:

                                                            +
                                                              +
                                                            • 3 years of hands on experience with large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query
                                                            • +
                                                            • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments.
                                                            • +
                                                            • Be effective and equally conversant in business and technical environments.
                                                            • +
                                                            • Strong, innate, business and data acumen.
                                                            • +
                                                            • Applied data validation mechanisms.
                                                            • +
                                                            • Ability to thrive when working under pressure
                                                            • +
                                                            • Undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
                                                            • +
                                                            +

                                                            Nice-to-have:

                                                            +
                                                              +
                                                            • Knowledge of Teradata or DB2 is definite asset.
                                                            • +
                                                            • Demonstrated leadership in cross-functional environment.
                                                            • +
                                                            • Experience with developing reports using OLAP tools.
                                                            • +
                                                            • Experience with financial products and services and their corresponding data.
                                                            • +
                                                            +

                                                            +

                                                            What’s in it for you?

                                                            +

                                                            +

                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                            +

                                                            +
                                                              +
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                            • +
                                                            • Opportunity to learn and apply new businesses, techniques, and ideas.
                                                            • +
                                                            • Ability to make a difference and lasting impact
                                                            • +
                                                            • Work in a dynamic, collaborative, progressive, and high-performing team
                                                            • +
                                                            • Opportunities to take on progressively greater accountabilities.
                                                            • +
                                                            +

                                                            +

                                                            +

                                                            Job Summary

                                                            +

                                                            Address:

                                                            TORONTO, Ontario, Canada

                                                            City:

                                                            CAN-ON-TORONTO

                                                            Country:

                                                            Canada

                                                            Work hours/week:

                                                            37.5

                                                            Employment Type:

                                                            Full time

                                                            Platform:

                                                            Personal and Commercial Banking

                                                            Job Type:

                                                            Regular

                                                            Pay Type:

                                                            Salaried

                                                            Posted Date:

                                                            2022-06-01-07:00

                                                            Application Deadline:

                                                            2022-06-15-07:00
                                                            +

                                                            Inclusion and Equal Opportunity Employment

                                                            +

                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                            ​​​​​​​
                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                            +
                                                            +

                                                            Join our Talent Community

                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                            +
                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000014523/Manager-Reporting-Automation-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-16T12:58:03.710Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/129843422-manager-reporting-automation-analyst-at-rbc,,expired,2022-06-06T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +02c53b87-d910-4ac4-b987-d7942fe25682,126158877,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-19T07:35:11.185Z,"
                                                            +
                                                            +

                                                            Description

                                                            +
                                                            +


                                                            Join our team and what we\'ll accomplish together

                                                            +

                                                            +

                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                            +


                                                            We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                            +


                                                            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                            +

                                                            You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                            +


                                                            Here\'s how

                                                            +

                                                              -
                                                            • Work Perks Program
                                                            • -
                                                            • On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office)
                                                            • -
                                                            • Tuition Reimbursement & Online Learning
                                                            • -
                                                            • Pension & Benefits
                                                            • -
                                                            • Paid Vacation
                                                            • +
                                                            • Lead the iterative development, validation, and deployment of AI/ML models
                                                            • +
                                                            • Collaborate on end-to-end automation efforts required to bring models to production
                                                            • +
                                                            • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                            • +
                                                            • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                            • +
                                                            • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                                            • +
                                                            • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                            • +
                                                            • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                            • +
                                                            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                            -

                                                            -

                                                            If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

                                                            -

                                                            -

                                                            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                            -

                                                            -

                                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity where differences are valued and supported. Commitment to being an equal opportunity employer is a priority to us, and we encourage people from all backgrounds and identities to apply to our jobs.

                                                            -

                                                            Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

                                                            -

                                                            -

                                                            We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                            -

                                                            -

                                                            www.Loblaw.ca/careers

                                                            -

                                                            -

                                                            -

                                                            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Employment Type:

                                                            Full time

                                                            -

                                                            -

                                                            Type of Role:

                                                            Regular

                                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                            -

                                                            -

                                                            Please Note:  
                                                            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                            -
                                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Governance_R2000234892-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/117494130-senior-analyst-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Governance_R2000234892-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-31T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -8f43afdf-cb29-40cc-b060-dffbcb4bda8c,117080065,Loblaw Companies Ltd.,"Senior Manager, Data Engineering",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-28T18:00:12.008Z,"
                                                            -
                                                            -
                                                            -

                                                            Referred applicants should not apply directly to this role.

                                                            -

                                                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                            -

                                                            -

                                                            -

                                                            Location:

                                                            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                            -

                                                            -

                                                            Inspired by food? Committed to excellent service? So are we.
                                                            At Loblaw, we are Food Lovers!
                                                            We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                            We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                            Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                            -

                                                            -

                                                            Why is this role important?

                                                            -

                                                            The Loblaw Technology and Analytics team is hiring a Data Acquisition Sr. Manager with experience in acquiring and developing data assets. Reporting to the Director, Data Acquisition, you will be responsible for implementing the company’s data acquisition strategy. Data acquisition is a critical enterprise function, and we are building an outstanding team that will help to transform the company.

                                                            -

                                                            -

                                                            The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                            -

                                                            -

                                                            What You'll Do

                                                            -
                                                              -
                                                            • Build and lead the technical team within data acquisition
                                                            • -
                                                            • Responsible for defining and carrying out the technical strategy within data acquisition
                                                            • -
                                                            • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                            • -
                                                            • Test external data assets to ensure they meet the needs of internal collaborators
                                                            • -
                                                            • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                            • -
                                                            • Build the accurate controls and documentation to ensure compliance and ethical use of the acquired content
                                                            • -
                                                            • Data Privacy compliance
                                                            • -
                                                            • Ongoing relationship management of strategic third party acquired accounts
                                                            • -
                                                            • Subject matter expertise to data vendor landscape and data valuation.
                                                            • -
                                                            • Collaborate with the Legal organization to ensure proper usage
                                                            • -
                                                            • Support the day-to-day needs of business customers including the analytic organization
                                                            • -
                                                            • Managing projects from the starting point to the final execution
                                                            • -
                                                            • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                            • -
                                                            -

                                                            -

                                                            What You'll Bring

                                                            -
                                                              -
                                                            • University degree in a business, data or analytic field of study (e.g. Math, Computer Science, Business, Economics, Media, Finance)
                                                            • -
                                                            • Proven experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                            • -
                                                            • People management experience
                                                            • -
                                                            • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                            • -
                                                            • Data programming experience (SQL, python, APIs)
                                                            • -
                                                            • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                            • -
                                                            • Strong Communication and interpersonal skills
                                                            • -
                                                            • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of teamwork
                                                            • -
                                                            • Ability to take initiative, multi-task and work in a fast-paced environment
                                                            • -
                                                            • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                            • -
                                                            • Strong detail orientation is essential in this role
                                                            • -
                                                            • A Team player and self-starter
                                                            • -
                                                            -

                                                            -

                                                            What You Can Expect

                                                            -

                                                            We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                            -

                                                            -

                                                            Other Perks Of Joining Loblaw

                                                            +
                                                            +
                                                            +

                                                            Qualifications

                                                            +
                                                            +


                                                            What you bring

                                                            +

                                                              -
                                                            • Competitive compensation and benefits package
                                                            • -
                                                            • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                            • -
                                                            • A flexible work environment which values balance
                                                            • -
                                                            • Colleague Discount Program
                                                            • -
                                                            • Tuition reimbursement Program
                                                            • -
                                                            • Employee Share Ownership plan
                                                            • -
                                                            • Pension Plan
                                                            • +
                                                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                            • +
                                                            • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                                            • +
                                                            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                            • +
                                                            • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                            • +
                                                            • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                            • +
                                                            • You possess advanced knowledge in SQL and distributed computing
                                                            • +
                                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                            • +
                                                            • You are well versed in software and AI development lifecycles, including ML Ops
                                                            • +
                                                            • You are agile and have a bias for action, removing roadblocks to get results fast
                                                            -

                                                            -

                                                            If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                            -

                                                            We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                            -

                                                            -

                                                            -

                                                            At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                            -

                                                            -

                                                            -

                                                            -

                                                            Employment Type:

                                                            Full time

                                                            -

                                                            -

                                                            Type of Role:

                                                            Regular

                                                            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                            -

                                                            -

                                                            Please Note:  
                                                            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                            +

                                                            +

                                                            Great-to-haves

                                                            +

                                                            +
                                                              +
                                                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                            • +
                                                            • Experience with agile methodology and work in a start-up environment
                                                            • +
                                                            • GCP or other cloud certifications
                                                            • +
                                                            • Experience with Bayesian / Belief Networks, and Causal Inference
                                                            • +
                                                            • Back end/API development experience
                                                            • +
                                                            +

                                                            #DSEjobs

                                                            -
                                                            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000234684-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/117080065-senior-manager-data-engineering-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000234684-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-28T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Manager,Bachelors Degree,New Posting, -2a63cc3c-dee4-49cf-af30-76e05e7677d5,116480245,CIBC,Virtual Career Fair - Analytics and Decision Science,on_site,"Ontario, Canada",2022-03-24T10:10:25.080Z,"
                                                            -
                                                            -
                                                            -

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            -

                                                            -

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            -

                                                            -

                                                            To learn more about CIBC, please visit CIBC.com

                                                            -

                                                            -

                                                            Job Description

                                                            -

                                                            -

                                                            We’re on a mission to build the relationship-focused bank of the future and we’re looking for the passionate collaborators, innovators, advisors, and leaders who can get us there. Our distinct culture is built on a shared commitment to do what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Because life at CIBC is not only what you do, but how you do it.

                                                            -

                                                            -

                                                            We would like to connect with candidates pursuing Analytics and Decision Science job opportunities in areas such as:

                                                            -
                                                              -
                                                            • Data and Reporting
                                                            • -
                                                            • Decision Science
                                                            • -
                                                            • Frontline and Distribution Analytics
                                                            • -
                                                            • Optimization
                                                            • -
                                                            • Product Analytics
                                                            • -
                                                            • Risk Analytics
                                                            • +
                                                            +
                                                            ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-06-18T13:57:35.155Z,False,0,5,59,https://talenthub.vectorinstitute.ai/jobs/126158877-data-scientist-at-telus,,expired,2022-05-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +2b58cc72-41ea-4aa3-90ba-af1518b5b252,127615432,Deloitte,"Business Data Analyst - Consumer, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-05-27T02:43:01.552Z,"

                                                            +
                                                            +

                                                            Job Type: Permanent
                                                            Primary Location: Multiple Locations, Ontario, Canada
                                                            All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                                            +

                                                            Learn from deep subject matter experts through mentoring and on the job coaching
                                                            Partner with clients to solve their most complex problems
                                                            Be empowered to lead and have impact with clients, our communities and in the office.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            +

                                                            Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                            +
                                                            +
                                                            +

                                                            What will your typical day look like?

                                                            +
                                                            +

                                                            As a Customer Business Analyst in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to understand the latest business challenges and its enablement using technology platforms. You will play an active role to architect and design data & technology solutions using industry-leading platforms on client’s ecosystem. You are enthusiastic about large-scale data transformation programs, have strong problem-solving and analytical skills, are tech savvy and have a techno-functional experience with ability to engage the Business as well as IT teams with ease.

                                                            +

                                                            +

                                                            Specifically, in this role, you will:
                                                            • Lead, define, design and implement end-to-end customer data-oriented solutions to solve business challenges, use-cases and features to enrich customer experiences for clients
                                                            • Collaborate with enterprise architects, business architects, marketing analysts, ETL designer and developers to lead data integration requirements and solutions
                                                            • Conduct analysis and incorporate findings, feedback and insights from customer and business research
                                                            • Own solution design and delivery of significant subject areas covering the functional requirements, and co-relate to solution architecture
                                                            • Define and develop solution architectures, lead teams through program delivery journey and mentor junior colleagues

                                                            +

                                                            +
                                                            +
                                                            +
                                                            +

                                                            About the team

                                                            +
                                                            +

                                                            Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                            +


                                                            As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures that are focused on customer domain, consumer industry – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Customer Data Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                            +

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Enough about us, let’s talk about you

                                                            +
                                                            +

                                                            You are someone who is:

                                                            +

                                                            • 2+ years of experience working in the consumer industry (Retail, CPG, FMCG, Supply Chain, and other customer related areas) on data and technology delivery programs; understanding of customer 360, loyalty, personalization, marketing related architecture and data flows
                                                            • 2+ years of experience in data lifecycle and ETL design; strong understanding of data management principles, data profiling, and SQL
                                                            • Experience liaising with both the business and technology teams with the ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with business stakeholders, working with Agile development methods on data-oriented projects
                                                            • Completed Bachelor’s Degree (or higher) in Marketing and consumer related areas such as Computer Science, Supply Chain and FMCG, Information Management, Big Data & Analytics, or related field is desired; customer 360 or digital marketing background is an asset; certifications or experience in customer data platforms, cloud data platforms, mar-tech, supply chain, retail, digital marketing technologies is an asset

                                                            +

                                                            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                            +
                                                            +
                                                            +
                                                            +

                                                            Why Deloitte?

                                                            +

                                                            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                            +
                                                            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                            -

                                                            -

                                                            Career Exploration Event

                                                            -

                                                            -

                                                            We’re hosting a virtual career exploration event where you’ll connect with team members, leaders and hiring managers in Analytics and Decision Science who are eager to share their stories with you. At this exclusive event, you’ll have the opportunity to:

                                                            +


                                                            The next step is yours

                                                            +

                                                            Sound like The One Firm. For You?

                                                            +

                                                            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                            +

                                                            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                            +

                                                            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-06-21T02:48:16.108Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/127615432-business-data-analyst-consumer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,expired,2022-05-27T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +df256ce6-3609-47cc-a99b-8702f83e2869,129835425,CIBC,"Consultant, Data Engineer",on_site,"Ontario, Canada",2022-06-06T10:45:02.449Z,"
                                                            +

                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                            +

                                                            +

                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                            +

                                                            +

                                                            To learn more about CIBC, please visit CIBC.com

                                                            +

                                                            +

                                                            Job Description

                                                            +

                                                            +

                                                            What You’ll Be Doing

                                                            +

                                                            Reporting to the Director, Digital Analytics and Integration you will be a key manager in the team responsible for creating, designing, communicating and maintaining the Data Structures and Models for all pertinent data sources and systems. You will lead efforts to collaborate with multiple cross-functional teams and data owners to identify key data sources and associated elements, design the interconnectivity and processing pipelines between data sources, manage the implementation of various data pipelines and serve as the owner for data ingestion architecture, design and implementation. You will serve as an SME for all pertinent data sources across the bank and will be responsible for bringing together numerous datasets, owned by teams across the bank, for all Digital initiatives. You will further leverage both on-prem and cloud-based platforms to ensure appropriate access and governance processes are implemented and data quality standards are adhered to and are integral part of all data ingestion and data processing pipelines.

                                                            +

                                                            +

                                                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                            +

                                                            +

                                                            How You’ll Succeed

                                                              -
                                                            • Learn more about career opportunities
                                                            • -
                                                            • Learn about our purpose, culture, and commitment to community
                                                            • -
                                                            • Ask our team members questions
                                                            • +
                                                            • +Data Science Expertise: Under the guidance of Director, conduct detailed analysis of data and provide data structures to solve business problem leveraging tools like Microsoft SQL, Python, SAS, Alteryx, Tableau. Conduct guided research, typically on the non-traditional resources to solve business problems.
                                                            • +
                                                            • +Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Director.
                                                            • +
                                                            • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                            -

                                                            -

                                                            Event Details:

                                                            +

                                                            Who You Are

                                                              -
                                                            • Date: Wednesday April 13th
                                                            • -
                                                            • Presentation and Panel Discussion: 4:30pm-5:30pm EST
                                                            • -
                                                            • Q&A : 5:30pm-6:00pm EST
                                                            • -
                                                            • Location: Microsoft Teams (access information to follow)
                                                            • -
                                                            • By Invitation Only
                                                            • +
                                                            • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL or Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS, etc. Must have experience coding with data modelling packages such as Pandas, etc.
                                                            • +
                                                            • +You’re a certified professional. You have current accreditation and good standing in M.S. from the quantitative analytics fields.
                                                            • +
                                                            • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                            • +
                                                            • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                            • +
                                                            • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                            • +
                                                            • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                            -

                                                            -

                                                            To register for this event:

                                                            +

                                                            What CIBC offers

                                                            +

                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                              -
                                                            • Click Apply
                                                            • -
                                                            • Enter your first name, last name and contact information
                                                            • -
                                                            • Upload your resume or input your LinkedIn profile URL
                                                            • -
                                                            • Once you have applied, a Talent Acquisition Partner will connect with you to discuss next steps
                                                            • -
                                                            • The Wednesday April 13th VCF is an invitation-only event
                                                            • +
                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                            • +
                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                            • +
                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                            -

                                                            -

                                                            -

                                                            What you need to know

                                                            +

                                                            +

                                                            What you need to know

                                                              -
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • -
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                            • -
                                                            • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                            • +
                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                            • +
                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                            +

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Job Location

                                                            Toronto-81 Bay, 18th Floor

                                                            Employment Type

                                                            Regular

                                                            +

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            +

                                                            Alteryx, Databricks Unified Data Analytics Platform, Microsoft Azure, Python, SAS BI, Structured Query Language (SQL), Tableau
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineer_2219448,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-20T10:51:04.058Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/129835425-consultant-data-engineer-at-cibc,,expired,2022-06-06T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f8242977-1248-467e-8ad6-bedc8891070e,129827239,Thales,Intern Software Engineer,on_site,"Ontario, Canada",2022-06-06T07:35:06.436Z,"
                                                            Location: Ottawa, Canada

                                                            +

                                                            Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                                            +

                                                            The Intern Software Engineer will be working to develop, test, automate, build and deploy STA solutions for authentication, identity and access management. The position will be working with R&D teams located in Ottawa, Austin and Noida and interact with Solution Architects, Product Management and UX teams to meet business objectives and quality of solution delivered for customers. The role will require also keeping in mind scalability, performance, operation and user experience, and overall architecture of the solution. It will also require active involvement in the various scrum team activities and overall SAFe planning and commitments, as well as participation in technical community of knowledge.

                                                            +

                                                            +

                                                            Key Responsibilities:

                                                            +
                                                              +
                                                            • Learn about the STA solution and its development environment.

                                                            • +
                                                            • Contribute to the design, implementation and testing of features with scalability, performance, deployment / operation and end-user experience in mind.

                                                            • +
                                                            • Apply coding/implementation best practices to produce elegant, high quality and reusable code.

                                                            • +
                                                            • Implement and follow security best practices for web applications.

                                                            • +
                                                            • Collaborate with other validators and developers to share knowledge and improve overall product/solution.

                                                            • +
                                                            • Keep up-to-date with latest technologies evolution and frameworks.

                                                            • +
                                                            • Interact with UX team to verify implementation of user experience concepts.

                                                            • +
                                                            • Follow the agile methodology used for the project. This includes creation of user stories and corresponding tasks.

                                                            • +
                                                            • Regularly archive source code into Gitlab, the source code repository for projects. The corresponding documentation is created and maintained in Confluence. Jira will be used for story, task, and issue tracking.

                                                            • +
                                                            • Participate in issue investigation and deployment of applications and new releases in testing/integration environment as needed.

                                                            • +
                                                            • Interface with the geographically distributed teams in Austin, Ottawa, Noida on a regular basis.

                                                            • +
                                                            +

                                                            +

                                                            Required Skills & Experience:

                                                            +
                                                              +
                                                            • Student completing a Bachelor’s degree in computer science or other relevant field of study.

                                                            • +
                                                            • Previously completed college level course work in computer programming language such as .NET, JavaScript or java

                                                            • +
                                                            • Ability to effectively communicate technical design, specification or implementation details of college coursework or internship project.

                                                            • +
                                                            • Curiosity and desire to learn about complex cloud solution

                                                            • +
                                                            +

                                                            +

                                                            Preferred Qualifications:

                                                            +
                                                              +
                                                            • Taken previous college level course work in cloud computing or database.

                                                            • +
                                                            • Familiarity with Agile/SAFe methodology

                                                            • +
                                                            • Proven ability to work independently on assigned tasks.

                                                            • +
                                                            • Familiarity with security and identity management (access management, authentication, identity providers)

                                                            • +
                                                            • Familiarity with tools such as JIRA and Confluence.

                                                            • +

                                                            -

                                                            Job Location

                                                            Toronto-81 Bay, 10th Floor

                                                            Employment Type

                                                            Regular

                                                            -

                                                            Weekly Hours

                                                            37.5

                                                            Skills

                                                            +

                                                            Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                            +
                                                            ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Intern-Software-Engineer_R0170207-1,feed-importer@jobboard.io,,,,2022-06-20T07:40:08.624Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/129827239-intern-software-engineer-at-thales,,expired,2022-06-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Manufacturing ,Internship/Co-op,,New Posting, +151fdd72-60c1-42af-bfb7-bf077c160cb5,129862591,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-06-06T21:06:23.409Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            -
                                                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Virtual-Career-Fair---Analytics-and-Decision-Science_2212873,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-04-11T16:30:00.000Z,False,0,6,29,https://talenthub.vectorinstitute.ai/jobs/116480245-virtual-career-fair-analytics-and-decision-science-at-cibc,,expired,2022-03-24T10:10:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,No Degree,New Posting, -c78564e1-12ee-48c6-b8f0-08283ede2913,118977523,TELUS,AI Product Manager,on_site,"Ontario, Canada",2022-04-07T07:33:05.442Z,"
                                                            -
                                                            -

                                                            Description

                                                            -
                                                            -

                                                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                            -

                                                            -

                                                            The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                            -

                                                            -

                                                            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                            -

                                                            -

                                                            Here’s the impact you’ll make and what we’ll accomplish together

                                                            -


                                                            This is a senior role in the team where you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.
                                                            As an AI Product Manager and Strategist, you will combine your expert knowledge of AI/Analytics with your strong business acumen to facilitate the development of world-class insight products.

                                                            -
                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            +

                                                            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                            +

                                                            NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                            +

                                                            Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                            -
                                                            -

                                                            Here\'s How

                                                            -
                                                              -
                                                            • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                            • -
                                                            • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                            • -
                                                            • Play the critical role of “translator” i.e. translating business problems into data problems.
                                                            • -
                                                            • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                            • -
                                                            • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                            • -
                                                            • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                            • -
                                                            • You\'re the missing piece of the puzzle
                                                            • -
                                                            • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                            • -
                                                            • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                            • -
                                                            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                            • -
                                                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
                                                            • -
                                                            • You are well versed in software and AI development lifecycles, including ML Ops.
                                                            • -
                                                            • You are agile and have a bias for action, removing roadblocks to get results fast
                                                            • -
                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                            +

                                                            Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                            +

                                                            If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                            +

                                                            As a Business Information Management Data Practitioner, you will:

                                                            +
                                                              +
                                                            • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                            • +
                                                            • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                            • +
                                                            • Engage in business and data requirements to develop complete business solutions
                                                            • +
                                                            • Design and implement complex business data information management frameworks
                                                            • +
                                                            • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                            • +
                                                            • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                            • +
                                                            • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                            • +
                                                            -
                                                            -

                                                            Great to Haves

                                                            -
                                                            -

                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                            +

                                                            Potential Candidates interested in this role should have:

                                                              -
                                                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                            • -
                                                            • Experience with agile methodology and work in a start-up environment
                                                            • -
                                                            • GCP or other cloud certifications
                                                            • -
                                                            • Experience in Management Consulting
                                                            • -
                                                            • Product Management/Ownership, Scrum Master
                                                            • +
                                                            • Undergraduate degree or technical certificate in a relevant field
                                                            • +
                                                            • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                            • +
                                                            • Experience in data programming languages, patterns and design principles
                                                            • +
                                                            • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                            • +
                                                            • Expertise in data storage and movement, including relational and big data
                                                            • +
                                                            • Strong analytical and problem-solving skills
                                                            • +
                                                            • In-depth knowledge of competitor and market trends
                                                            • +
                                                            • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                            • +
                                                            • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                            • +
                                                            • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                            • +
                                                            • Act as a brand champion for our business area / function and TD, both internally and externally
                                                            -


                                                            +

                                                            +

                                                            Additional Information

                                                            +
                                                            +Data engineering:

                                                            +
                                                              +
                                                            • Degree in Computer Science
                                                            • +
                                                            • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                            • +
                                                            +

                                                            #dataengineer #LI-Hybrid

                                                            +

                                                            Locations:

                                                            +
                                                              +
                                                            • Toronto
                                                            • +
                                                            • Montreal
                                                            • +
                                                            • Markham
                                                            • +
                                                            • London
                                                            • +
                                                            • Ottawa
                                                            • +
                                                            • New Jersey, USA
                                                            • +
                                                            • Delaware, USA
                                                            • +
                                                            +
                                                            * L7- L10
                                                            -
                                                            ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON/556216117/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/118977523-ai-product-manager-at-telus,,expired,2022-04-07T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,PhD,New Posting, -1032da24-dab1-4e3a-8197-276f46b3952b,119733928,TELUS,"Manager, Data Science",on_site,"Ontario, Canada",2022-04-10T07:33:07.757Z,"
                                                            -
                                                            -

                                                            Description

                                                            -
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/129862591-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-06-06T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +b2c2ffff-5eb8-4356-984b-621f808742b6,131511358,Scotiabank,Data Analyst,on_site,Canada : Ontario : Toronto,2022-06-14T05:07:06.600Z,"

                                                            -

                                                            Join our team

                                                            -

                                                            We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                            -

                                                            We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                            +

                                                            Requisition ID: 154505

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            Here’s how

                                                            -

                                                            You will lead a team of data experts (Data Engineers, Data Scientists and Data Analysts) to drive solutions in collaboration with our marketing, sales, business solutions, security, privacy teams and TELUS-wide AI focused teams. Building on our existing strengths in privacy, analytics and strategy, and architecture, you will:

                                                            +

                                                            Purpose

                                                            +


                                                            The Data Analyst, Retail Sales Practices Insights, is responsible for providing analysis that will help the Bank to balance business growth and a continued focus on the customer. The incumbent will support efforts to identify, analyze & test for sales practices vulnerabilities and opportunities using data, and create action plans to resolve. This involves working with large datasets and distributed computing tools to create structures and analysis environments.

                                                            +

                                                            +

                                                            Key Accountabilities

                                                            +

                                                            +

                                                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                            +

                                                            +

                                                            • Analyze employee & customer data and information to identify insights that support the Retail Sales Practices mandate by:

                                                            +

                                                            o Acting as the subject matter expert for retail sales practices analytics, analyzing employee sales results, customer transaction and channel activity data to drive insights related to employee behavior and customer experience in channels using advanced statistical and analytical techniques
                                                            o Support the presentation of ideas and findings with actionable recommendations to all levels in an easily consumable manner
                                                            o Transforming and cleaning large data sets, including structured and unstructured data
                                                            o Performing data mining & modelling

                                                            +

                                                            +

                                                            • Develop and maintain testing criteria and methodologies to ensure that the right level of monitoring is taking place for Retail Distribution supporting positive customer outcomes.

                                                            +

                                                            o Adhere to appropriate and consistent testing protocols, methodologies and standards for detection of improper sales conduct.
                                                            o Assist in establishing acceptable thresholds for each reported data stream to delineate outlier behaviours

                                                            +

                                                            +

                                                            • Develop and maintain consistent sales practices oversight and monitoring by:

                                                            +

                                                            o Support direction setting for analysis and associated data visualization
                                                            o Assisting in the improvement of operational activities by identifying and implementing process improvements, identifying methods to monitor and maintain oversight and potential enhancements

                                                            +

                                                            +

                                                            • Coordinate the dissemination of outputs, insights & results by:

                                                            +

                                                            o Enabling self-service reporting and analysis by end users
                                                            o Creating communication frameworks
                                                            o Creating executive dashboards
                                                            o Establishing and following through on feedback for sales practices outlier reporting coordinated through the Regional and District teams.
                                                            o Using feedback outcomes to refine analysis, insights and understanding of the data

                                                            +

                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                            +

                                                            +

                                                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                            +

                                                            +

                                                            • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

                                                            +

                                                            +

                                                            Education and Other Requirements

                                                            +

                                                            +

                                                            • University degree in mathematics, computer science, finance, engineering, or related discipline
                                                            • Excellent analytical skills and experience analyzing and reporting on data
                                                            • Heavy analytics for multiple stake holders reaching up to EVP level
                                                            • Reporting design, creation, and delivery
                                                            • Excellent analytical skills and proven experience analyzing and reporting on data
                                                            • SAS (and/or SQL experience)
                                                            • Strong Excel skills
                                                            • Experience with data visualization tools like Power BI or Tableau would be an asset
                                                            • Understanding of Canadian retail banking
                                                            • Flexible, motivated, and results oriented
                                                            • Ability to work in cross-functional teams and build networks and relationships

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,feed-importer@jobboard.io,,,,2022-06-20T15:30:00.000Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/131511358-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ecc250f3-8938-47bf-bc42-6e9f0059c94b,127070279,Scotiabank,Senior Data Analyst,on_site,Canada : Ontario : Toronto,2022-05-24T05:06:05.840Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 151215

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            The Team
                                                            Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                                            +

                                                            +

                                                            The Role
                                                            As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                            +


                                                            Some of the key accountabilities include:

                                                            +

                                                            • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                                            • Analyze data in both Financial Systems and Big Data environments
                                                            • Support senior team members through research assignments and proof of concepts
                                                            • Demonstrate a passion for problem solving and data presentation technologies
                                                            • Facilitate UAT testing for system migration and new initiatives
                                                            • Report development and support for internal customers; including executives analytical minded skillset
                                                            • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                                            +

                                                            +

                                                            What You Will Bring to Succeed
                                                            • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                                            • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                                            • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                                            • Analytical and Detail-oriented
                                                            • Report development and support for internal and external customers; including executives analytical minded skillset.

                                                            +

                                                            +

                                                            The Workplace
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                            +

                                                            +

                                                            Scotiabank
                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            +


                                                            Is this Role not the Exact fit?
                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            +


                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,feed-importer@jobboard.io,,,,2022-06-24T15:26:33.493Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127070279-senior-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-05-24T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +9c7e2240-8925-4e8a-926f-0482e205dd9a,127498448,Cohere AI,"Software Engineer, ML Frameworks",on_site,Toronto /,2022-05-26T05:06:07.214Z,"
                                                            +
                                                            Who are we?
                                                            +
                                                            We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                            +

                                                            +
                                                            We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                            +

                                                            +
                                                            We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                            +

                                                            +
                                                            We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                            +

                                                            +
                                                            Why this role?
                                                            +
                                                            Distribute and optimize anything and everything.
                                                            +

                                                            +
                                                            This role is ideal for you if you are excited about building a scale-first machine learning framework that powers Cohere’s language models. Here you will design and improve upon the framework that enables fast, reliable, and flexible training of large language models. In this role, you will work on the cutting edge of research and engineering, design and develop state-of-the-art machine learning models. If you are an experienced software engineer aiming to break into the ML industry, this is the role you are looking for! +
                                                            +

                                                            +
                                                            +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                            +
                                                            +
                                                            +

                                                            As a Software Engineer - ML Frameworks, you will:

                                                            +
                                                                +
                                                              • Design and improve upon the internal framework to train models
                                                              • +
                                                              • Build and test the scalable services in the framework using cutting-edge distributed frameworks
                                                              • +
                                                              • Build internal tooling (CI/CD, dev utilities) to move faster together
                                                              • +
                                                              • Keep up with the cutting edge and adopt new technologies to improve performance and reliability
                                                              • +
                                                            +
                                                            +
                                                            +

                                                            You may be a good fit if:

                                                            +
                                                                +
                                                              • You are familiar with distributed systems - Ray and multiprocessing
                                                              • +
                                                              • You are excited to add new technologies to your toolbox and use them where it makes sense
                                                              • +
                                                              • You are competent at Docker and Kubernetes
                                                              • +
                                                              • Bonus: You have experience with high-performance, large-scale compute systems
                                                              • +
                                                              • Bonus: You have worked with major ML frameworks - JAX, Tensorflow, Pytorch
                                                              • +
                                                            +
                                                            +
                                                            +
                                                            If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                            +

                                                            +
                                                            We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                            +

                                                            +
                                                            Our Perks:
                                                            +
                                                            🤝 An open and inclusive culture and work environment
                                                            +
                                                            🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                            +
                                                            🍽 Free daily lunch
                                                            +
                                                            🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                            +
                                                            🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                            +
                                                            🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                            +
                                                            🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                            +
                                                            ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                            +

                                                            +
                                                            #LI-Remote
                                                            +
                                                            ",,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,feed-importer@jobboard.io,,,,2022-06-25T13:04:32.547Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/127498448-software-engineer-ml-frameworks-at-cohere-ai,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,expired,2022-05-26T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +f5444809-8034-4611-98a6-aa6ff500c1d9,132763723,TD Bank Group,Business Analyst II,on_site,"Toronto, ON",2022-06-20T21:06:12.395Z,"
                                                            +

                                                            Company Overview

                                                            +
                                                            +

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            +

                                                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                            +
                                                            +

                                                            +

                                                            Department Overview

                                                            +
                                                            The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates.

                                                            +

                                                            This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

                                                            +
                                                            +

                                                            +

                                                            Job Description

                                                            +
                                                              +
                                                            • Lead a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
                                                            • +
                                                            • Analyze impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
                                                            • +
                                                            • Understand and clarify work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach
                                                            • +
                                                            • Provide recommendations and direction based on the end to end customer experience when making decisions
                                                            • +
                                                            • Lead and own the project deliverables related to business requirements to meet the needs of the customer, employee, and business
                                                            • +
                                                            • Assess and ensure that customer and employee experience / stakeholder impacts are appropriately managed
                                                            • +
                                                            • Engage appropriate stakeholders to identify and manage required outcomes of projects for the business
                                                            • +
                                                            • Provide on-going communication to key stakeholders, including the project sponsor, business project owner, project / program / portfolio manager to ensure they are aware of significant changes which impact requirements delivery against the overall project
                                                            • +
                                                            • Respond to inquiries and escalate concerns from stakeholders and partners at all levels in the organization
                                                            • +
                                                            • Identify and lead problem resolution to ensure customer needs are met
                                                            • +
                                                            • Lead and contribute to the development of test strategy/ test plans, test cases/ testing scenarios appropriate to the application/ project
                                                            • +
                                                            • Lead and contribute to the analysis of test data requirements, identification and preparation of test data
                                                            • +
                                                            • The Analyst will lead projects individually representing the GAML Business and supporting Business Acceptance Testing for all GAML initiatives.
                                                            • +
                                                            • The Analyst will lead interaction with Business Analysts, Project Managers, and internal /external partners throughout the various phases of a project / business initiative.
                                                            • +
                                                            • Recommend / Negotiate testing deliverables, timelines, appropriate to the project
                                                            • +
                                                            • Oversee and execute test scripts within the testing environment, ensuring defects are logged for the project, and documentation has been appropriately signed off
                                                            • +
                                                            • Chair daily defect status calls and provide updates to the project team
                                                            • +
                                                            • Provide project feedback, status reporting and mitigation plans to project team
                                                            • +
                                                            • Identify testing dependencies and risks, ensuring that they are effectively managed and mitigated
                                                            • +
                                                            • Ensure projects are following established testing procedures, standards and enterprise methodology
                                                            • +
                                                            • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                                            • +
                                                            • Ensure that the business acceptance tests exit criteria are met prior to implementation
                                                            • +
                                                            • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                                            • +
                                                            • Contribute to the development of the project plan and high-level work breakout session (WBS), identify and manage key risks and decisions
                                                            • +
                                                            • Own and complete relevant work packages through collaboration with multiple stakeholders to prepare for operational readiness, managing deadlines and adjusting to changing work priorities
                                                            • +
                                                            • Take ownership and communicate progress on work packages, including requirements management, in a concise and timely manner, escalating issues to project manager, partners and manager where appropriate
                                                            • +
                                                            • Assess project change requests and their impacts on requirements, checking for alignment to project benefits at all phases
                                                            • +
                                                            +

                                                            +

                                                            Requirements

                                                            +
                                                              -
                                                            • Communicate with various stakeholders, identify use cases, data requirements and test hypotheses.
                                                            • -
                                                            • Develop technical domain knowledge, operationalize the application of AI insights and decision making and manage our team’s delivery lifecycle and business models.
                                                            • -
                                                            • Inspire and motivate team members to drive high performance, take calculated risks, drive sound business decision making and quality outcomes.
                                                            • -
                                                            • Evolve our underlying data pipeline to deploy reusable and scalable algorithms in partnership with privacy and security functions.
                                                            • -
                                                            • Perform analysis/evaluation of proposed specific use cases: economic, technology, return on investment, sensitivity etc…
                                                            • -
                                                            • Manage capital/operational budgets and headcount while balancing between the needs and targets of the team versus the evolving fiscal environment of the business.
                                                            • -
                                                            • Empower and help team members to resolve complex technical, process and business roadblocks.
                                                            • +
                                                            • Proficiency in the following applications: Excel, Word, PowerPoint, Visio, MS Project, HP- ALM, JTMF, JIRA and/or other testing tools.
                                                            • +
                                                            • Advanced knowledge of testing methodologies, Project Management life cycle, Quality Assurance concepts and methodologies, analytical skills and documentation standards.
                                                            • +
                                                            • Detail oriented, analytical with excellent problem solving and troubleshooting abilities
                                                            • +
                                                            • Highly organized and flexible in prioritizing various work demands
                                                            • +
                                                            • A solid team player and comfortable taking constructive criticism
                                                            • +
                                                            • Able and comfortable presenting findings, summaries and recommendations in a coherent and comprehensive format
                                                            • +
                                                            • Knowledge of Global Anti-Money Laundering systems and processes is an asset
                                                            • +
                                                            • Leads Requirements Management / work packages for Tier 5 low to moderate risk and regulatory projects or initiatives and may contribute to Tier 3-4 projects
                                                            • +
                                                            • Sound to advanced knowledge of business analysis, project delivery practices and standards across the project life cycle
                                                            • +
                                                            • Work performed under minimal management guidance and supervision
                                                            • +
                                                            • Identify and lead problem resolution
                                                            • +
                                                            • Supports and may contribute to communication and change management activities
                                                            • +
                                                            • Excellent interpersonal and communication (both written and oral) skills
                                                            +

                                                            #LI-Hybrid

                                                            -
                                                            -
                                                            -

                                                            Qualifications

                                                            -

                                                            +

                                                            Additional Information

                                                            +
                                                              +
                                                            • University degree and/or related working experience.
                                                            • +
                                                            • Minimum 4-5 years of BA/QA experience, preferably with 2-3 years of lead experience
                                                            • +
                                                            +

                                                            +

                                                            Hours

                                                            +
                                                            37.5
                                                            +

                                                            +

                                                            Inclusiveness

                                                            +

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            +

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-23T21:11:08.371Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132763723-business-analyst-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,expired,2022-06-20T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c75e5b16-1cdb-4185-9779-60e30296a5c6,132128466,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:06.568Z,"

                                                            -

                                                            You’re the missing piece of the puzzle

                                                            -

                                                            -
                                                              -
                                                            • AI Technology & Data Engineering Expertise: Deep technical knowledge and 3+ years’ experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                            • -
                                                            • Team Leadership: You have 3+ years of experience in a role managing people. Excellent communicator with a track record of building strong teams, driving a culture of high engagement, and delivering outstanding program results.
                                                            • -
                                                            • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                            • -
                                                            • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                                                            • -
                                                            • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                            • -
                                                            • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                                                            • -
                                                            • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                                                            • -

                                                            -

                                                            Great-to-haves

                                                            -
                                                              -
                                                            • MBA (Master in Business Administration)
                                                            • -
                                                            • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                                                            • -
                                                            • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                                                            • -
                                                            • Strong knowledge of industry pressures in the telecommunications industry
                                                            • -
                                                            -
                                                            -
                                                            -
                                                            ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/119733928-manager-data-science-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, -422ccc67-5264-40f4-b829-e3b79fb09b6c,114036071,BenchSci,Senior Software Engineer - Data (Remote),on_site,"Toronto, Ontario /",2022-03-11T05:06:11.346Z,"
                                                            -
                                                            BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                            -

                                                            -
                                                            We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. On the BenchSci Data team, you will work with a group of talented and passionate engineers as you play a key role in shaping the future of scientific discovery and progress.
                                                            -
                                                            -

                                                            You will:

                                                            -
                                                                -
                                                              • Scale data pipelines to allow our data to go from research to platform as fast as possible
                                                              • -
                                                              • Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
                                                              • -
                                                              • Develop data access mechanisms for downstream applications consumption
                                                              • -
                                                              • Expand the types of biological reagents and experiments that we can successfully extract from various types of media
                                                              • -
                                                              • Manage sources that contain both semi-structured and unstructured data
                                                              • -
                                                              • Apply state-of-the-art data processing engines to rapidly process our data sets
                                                              • -
                                                              • Employ best practices for a broad platform of technologies within a cloud-based environment
                                                              • -
                                                              • Provide troubleshooting analysis and resolution in a timely manner
                                                              • -
                                                              • Work on projects involving some of the largest pharmaceutical companies in the world
                                                              • -
                                                              • Solve difficult problems and bring new perspectives to the team
                                                              • -
                                                              • Have opportunities to work both independently and in pair-programming settings
                                                              • -
                                                            -
                                                            -

                                                            You have:

                                                            -
                                                                -
                                                              • 5+ years of experience working as a professional developer
                                                              • -
                                                              • Expertise with Python and SQL
                                                              • -
                                                              • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                              • -
                                                              • Experience with data processing engines (we use Beam)
                                                              • -
                                                              • A strong background in data structures and large-scale data manipulation
                                                              • -
                                                              • Familiarity with information retrieval theory and practical applications of it
                                                              • -
                                                              • Strong cross-team communication and collaboration skills
                                                              • -
                                                            -
                                                            -

                                                            Nice to haves, but not mandatory qualifications:

                                                            -
                                                                -
                                                              • Work or academic experience in the life sciences
                                                              • -
                                                              • Experience with Kubernetes in production
                                                              • -
                                                              • Experience with Infrastructure-as-code
                                                              • -
                                                              • Experience with technical design and applying architectural patterns
                                                              • -
                                                              • Experience with statistical analysis of large datasets
                                                              • -
                                                            -
                                                            -

                                                            -

                                                            -
                                                            Benefits and Perks:
                                                            -
                                                            An engaging remote-first culture that hires the best talent from around the world
                                                            -
                                                            A competitive compensation package that includes BenchSci equity options
                                                            -
                                                            Comprehensive health and dental benefits with an emphasis on mental health
                                                            -
                                                            An annual Executive Health Assessment at Medcan for proactive health awareness
                                                            -
                                                            Three weeks of vacation plus an additional day for every completed year
                                                            -
                                                            A $2000 Annual Learning & Development budget
                                                            -
                                                            Generous parental leave benefits with a top-up plan or paid time off options
                                                            -
                                                            Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                            -
                                                            A $1000 work from home allowance to make your home setup perfect for you
                                                            -
                                                            An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                            -
                                                            An executive coach for managers to assist in leading high-performing teams
                                                            -
                                                            Complimentary Headspace account to support mental wellness and focus
                                                            -
                                                            Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                            -

                                                            -
                                                            Our Culture:
                                                            -
                                                            We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                            -

                                                            -
                                                            Diversity, Equity, and Inclusion:
                                                            -
                                                            We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                            -

                                                            -
                                                            Accessibility Accommodations:
                                                            -
                                                            BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                            -

                                                            -
                                                            #LI-Remote
                                                            -
                                                            ",,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-13T16:18:40.194Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/114036071-senior-software-engineer-data-remote-at-benchsci,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-03-10T21:45:02.646Z,"
                                                            Available Locations
                                                            Vancouver

                                                            What\'s the opportunity?

                                                            -
                                                            -

                                                            We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                                                            +

                                                            Requisition ID: 150724

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            -

                                                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                            -

                                                            Your responsibilities include:

                                                            -
                                                              -
                                                            • Designing, building, and improving machine learning-based software solutions
                                                            • -
                                                            • Collaborating with research and business teams to converge on the best solutions
                                                            • -
                                                            • Optimizing algorithms and prototypical solutions for efficient implementation
                                                            • -
                                                            • Supporting projects with thorough documentation of usage, design decisions and capabilities
                                                            • +

                                                              The world is changing faster than ever and so are we!

                                                              +

                                                              +

                                                              Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                              +

                                                              Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                              +

                                                              +

                                                              What Are We Looking For?

                                                              +

                                                              We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                              +

                                                              +

                                                              To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                              +

                                                              +

                                                              We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                              +

                                                              +

                                                              Make an Impact

                                                              +

                                                              As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                                              +

                                                              +

                                                              You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                              +

                                                              +

                                                              Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                              +

                                                              +

                                                              Is This Role Right for You?

                                                              +
                                                              • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                              • You are both deeply curious and highly pragmatic
                                                              • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                              • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                                              • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                                              • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                              • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                                              • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                              • You are committed to quality in everything you do – statistically, process and governance wise
                                                              • You look forward to sharing your insights through high-quality verbal & written communications
                                                              • You are professional, motivated AND FUN. We mean it.
                                                              -

                                                              You\'re our ideal candidate if you:

                                                              -
                                                                -
                                                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                                                              • -
                                                              • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                                                              • -
                                                              • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                                                              • -
                                                              • Familiarity with the Unix command line and bash scripting
                                                              • -
                                                              • Familiarity with RDBMS and/or NoSQL graph databases
                                                              • -
                                                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                              • +

                                                                +

                                                                Sample projects that you might work on include:

                                                                +
                                                                • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                                                • Prepare attribution and/or stock-flow analysis of product portfolios
                                                                • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                                                • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                                                • Identify, promote and lead process improvements for model development and monitoring
                                                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                                -
                                                            -

                                                            What\'s in it for you?

                                                            -
                                                              -
                                                            • Build cutting-edge software solutions that impact millions of users
                                                            • -
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                                                            • -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities
                                                            • -
                                                            • Ability to make a difference and lasting impact from a local-to-global scale
                                                            • +

                                                              +

                                                              What Do You Need to Succeed?

                                                              +

                                                              General

                                                              +
                                                              • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                              • A demonstrated history of analytic problem solving and sound judgment
                                                              • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                              • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:08:27.737Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/113752279-machine-learning-software-engineer-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -01437e70-efed-498a-a06e-5c2e107de360,113752271,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-03-10T21:45:02.150Z,"

                                                            What\'s the opportunity?

                                                            -
                                                            -

                                                            We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                            -

                                                            -

                                                            As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                            -

                                                            Your responsibilities include:

                                                            -
                                                              -
                                                            • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                            • -
                                                            • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                            • -
                                                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                            • -
                                                            • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                            • -
                                                            • Grow and develop the team, helping each team member advance in their career.
                                                            • -
                                                            -

                                                            You\'re our ideal candidate if you:

                                                            -
                                                              -
                                                            • Have 7+ years of experience delivering software projects to production;
                                                            • -
                                                            • Have experience managing a team of engineers;
                                                            • -
                                                            • Have experience developing modular, robust, scalable software in a modern programming language;
                                                            • -
                                                            • Experience working with business, product and other technical teams;
                                                            • -
                                                            • Experience with scaling and performance of large systems;
                                                            • -
                                                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                            • -
                                                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                            • -
                                                            • Have background in machine learning or a related field;
                                                            • -
                                                            • Experience with Capital Markets or any financial domain is a big plus.
                                                            • +

                                                              +

                                                              Technical

                                                              +
                                                              • Strong fundamental understanding of statistics
                                                              • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                              • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                              • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                              • Knowledge about credit risk models / scorecards
                                                              -
                                                            -

                                                            What\'s in it for you?

                                                            -
                                                              -
                                                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                            • -
                                                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                            • -
                                                            • Leaders who support your development through coaching and managing opportunities;
                                                            • -
                                                            • Ability to make a difference and lasting impact from a local-to-global scale.
                                                            • +

                                                              +

                                                              What’s in It for You?

                                                              +
                                                              • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                              • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                              • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                              • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                              • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                            ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:09:41.141Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/113752271-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -83803599-34d4-4935-8165-9b79079e5c48,119896678,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-11T21:02:08.326Z,"
                                                            +

                                                            +

                                                            This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-23T22:48:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/132128466-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f44a01b0-5c45-47fc-9b15-ac7ae6c69961,126310797,Scotiabank,Senior Data Analyst (Ottawa Hub location),on_site,Canada : Ontario : Ottawa || Canada : Ontario : Toronto,2022-05-20T05:06:06.326Z,"

                                                            +

                                                            +

                                                            +

                                                            +

                                                            Requisition ID: 152051

                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                            +

                                                            +

                                                            The Team
                                                            Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                                            +

                                                            +

                                                            The Role
                                                            As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                                            +


                                                            Some of the key accountabilities include:

                                                            +

                                                            • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                                            • Analyze data in both Financial Systems and Big Data environments
                                                            • Support senior team members through research assignments and proof of concepts
                                                            • Demonstrate a passion for problem solving and data presentation technologies
                                                            • Facilitate UAT testing for system migration and new initiatives
                                                            • Report development and support for internal customers; including executives analytical minded skillset
                                                            • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                            • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                                            +

                                                            +

                                                            What You Will Bring to Succeed
                                                            • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                                            • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                                            • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                                            • Analytical and Detail-oriented
                                                            • Report development and support for internal and external customers; including executives analytical minded skillset.

                                                            +

                                                            +

                                                            The Workplace
                                                            • We are technology partners who help the business transform how our employees around the world work
                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                            • We foster an environment of innovation and continuous learning
                                                            • We care about our people, allowing them to design how they work to deliver amazing results
                                                            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                                            +

                                                            +

                                                            Scotiabank
                                                            As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            +


                                                            Is this Role not the Exact fit?
                                                            Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                            +


                                                            #ottawahub

                                                            +

                                                            +

                                                            Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Toronto

                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                            ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,feed-importer@jobboard.io,,,,2022-06-23T20:35:52.204Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/126310797-senior-data-analyst-ottawa-hub-location-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-30T21:07:11.035Z,"

                                                            Company Overview

                                                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                            @@ -38563,63 +37314,44 @@ a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Soft

                                                            Department Overview

                                                            -

                                                            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                            -

                                                            NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                            -

                                                            Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                            +

                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                            +

                                                            We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                            Job Description

                                                            -

                                                            Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                            -

                                                            If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                            -

                                                            As a Business Information Management Data Practitioner, you will:

                                                            +

                                                            +

                                                            About this Role

                                                            +

                                                            As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                                            +

                                                            In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                                            +

                                                            +

                                                            As a Senior Business Insights Analyst, you will:

                                                              -
                                                            • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                            • -
                                                            • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                            • -
                                                            • Engage in business and data requirements to develop complete business solutions
                                                            • -
                                                            • Design and implement complex business data information management frameworks
                                                            • -
                                                            • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                            • -
                                                            • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                            • -
                                                            • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                            • +
                                                            • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                                            • +
                                                            • Develop analysis to illustrate business trends and identify areas of business opportunities
                                                            • +
                                                            • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                                            • +
                                                            • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                                            • +
                                                            • Execute on data requests accurately and within a timely manner
                                                            • +
                                                            • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                                            • +
                                                            • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                                            • +
                                                            • Provides day-to-day support and delivery of analytics
                                                            • +
                                                            • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                                            • +
                                                            • Considered an authority within a given area
                                                            • +
                                                            • Oversee and/or independently perform tasks from end to end

                                                            Requirements

                                                            -

                                                            Potential Candidates interested in this role should have:

                                                            -
                                                              -
                                                            • Undergraduate degree or technical certificate in a relevant field
                                                            • -
                                                            • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                            • -
                                                            • Experience in data programming languages, patterns and design principles
                                                            • -
                                                            • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                            • -
                                                            • Expertise in data storage and movement, including relational and big data
                                                            • -
                                                            • Strong analytical and problem-solving skills
                                                            • -
                                                            • In-depth knowledge of competitor and market trends
                                                            • -
                                                            • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                            • -
                                                            • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                            • -
                                                            • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                            • -
                                                            • Act as a brand champion for our business area / function and TD, both internally and externally
                                                            • -
                                                            -
                                                            -

                                                            -

                                                            Additional Information

                                                            -
                                                            -Data engineering:

                                                            -
                                                              -
                                                            • Degree in Computer Science
                                                            • -
                                                            • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                            • -
                                                            -

                                                            #dataengineer
                                                            Locations:

                                                            +What can you bring to TD?

                                                            +

                                                            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              -
                                                            • Toronto
                                                            • -
                                                            • Montreal
                                                            • -
                                                            • Markham
                                                            • -
                                                            • London
                                                            • -
                                                            • Ottawa
                                                            • -
                                                            • New Jersey, USA
                                                            • -
                                                            • Delaware, USA
                                                            • +
                                                            • Undergraduate degree or technical certificate
                                                            • +
                                                            • Five (5) or more years relevant experience
                                                            • +
                                                            • Hands on experience in Python/PySpark, Tableau, and SQL
                                                            • +
                                                            • Experience in modeling (ML algorithms) is desirable
                                                            • +
                                                            • Management consulting and/or MBA background is preferable
                                                            -
                                                            * L7- L10

                                                            Hours

                                                            @@ -38628,240 +37360,356 @@ a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Soft

                                                            Inclusiveness

                                                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                            -
                                                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-04-14T21:07:12.947Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/119896678-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -8bde3ef8-5d49-4f58-bbde-f0cfa5dc34ce,119809553,Sun Life Financial,Business Data Analyst,on_site,"Ontario, Canada",2022-04-11T07:26:03.751Z,"
                                                            -

                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                            +
                                                            ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-04T20:49:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/134796771-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-30T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c9a49652-9469-4346-b70b-65e9395f8a8c,131887931,EY,Senior Consultant - Privacy and Data Trust,on_site,Toronto,2022-06-16T04:44:02.979Z,"

                                                            Senior Consultant - Privacy and Data Trust

                                                            +
                                                            Location: Toronto
                                                            +
                                                            Other locations: Primary Location Only
                                                            +
                                                            Date: Jun 10, 2022
                                                            +

                                                            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                            +

                                                            +

                                                            With rapidly changing data threats, clients from all industries look to us for trusted solutions for their increasingly complex risks. You will have access to our robust platform to advise clients on managing data protection and privacy, enhancing maturity, and improving efficiency. You will belong to an international connected team of specialists helping our clients with their most complex data protection and privacy needs and contributing toward their business resilience.

                                                            +

                                                            +

                                                            The opportunity

                                                            +

                                                            +

                                                            We are actively seeking a Senior Consultant to join our Cybersecurity team specifically the Privacy and Data Trust specialty. You’ll work alongside respected industry professionals, learning about and applying leading practices to better manage people, processes and technology capabilities within the data protection and privacy domains. You’ll gain insights into the design and operations of privacy and data trust programs and strategies in a variety of industries and learn how to design measurable, sustainable programs to keep up with the constantly evolving privacy landscape.

                                                            +

                                                            +

                                                            This position falls within our Consulting practice, which helps our clients enhance the effectiveness of operations functions by assisting them as they shift their emphasis from transaction-level control, processing and reporting to more value driven, decision support and analytics.

                                                            +

                                                            +

                                                            Your key responsibilities

                                                            +

                                                            +

                                                            As a Cybersecurity, privacy and data trust senior you'll deliver client engagements as well as internal projects. You will help clients gain insights into their privacy programs and capabilities to maintain compliance to local and global privacy regulations while building consumer trust. Consult with privacy and cyber managers to determine the role of IT systems in an organization. Research emerging technologies to determine if installing them can increase the organization’s efficiency and effectiveness and identify any potential impact in privacy. Advise clients on managing their privacy programs to mitigate their business risks. Assess privacy programs and strategies using our proprietary framework, design solutions to remediate gaps or enhance maturity of specific privacy capabilities, improve measurements and monitoring, and develop sustainable processes to enable our clients to achieve business goals and mitigate their risks.

                                                            +

                                                            +

                                                            Skills and attributes for success

                                                            +

                                                            +

                                                            Client Responsibilities

                                                            +
                                                            • Consistently deliver quality client services.
                                                            • Stay abreast of current business and industry trends relevant to the client's business.
                                                            • Demonstrate technical capabilities and professional knowledge. Demonstrate ability to assimilate to new knowledge.
                                                            • Remain current on new developments in advisory services capabilities and industry knowledge.
                                                            • Demonstrate and apply a thorough understanding of complex data processing systems. Use knowledge of the current data processing environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations.
                                                            • +
                                                            +

                                                            +

                                                            To qualify for the role, you must have

                                                            +
                                                            • A Bachelor’s degree in Law or in Computer Science, Management Science, Information Security, Data, Business, Ethics or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Management Science, Data, Business, Ethics, Law, or a related field and 2 to 3 years of work experience.
                                                            • Knowledge and 2 to 3 years of hands-on experience in one or more of the following areas:
                                                              - Assessing client risk and compliance against privacy regulations
                                                              - Designing or operationalizing functional privacy within or on behalf of a business.
                                                              - Providing support of privacy enhancing technology (PET).
                                                            • Knowledge and 2 to 3 years of practical experience with common frameworks, standards and methodologies used in the data protection and privacy field.
                                                            • Practical experience with conducting risk assessments and testing of data protection and privacy controls
                                                            • Excellent analytical skills and knowledge of data analytics methods
                                                            • Ideally possess one of the following certifications: CIPP (Canada), CIPM or CIPT.
                                                            • Solid knowledge and experience presenting using MS Power Point, Excel and Visio.
                                                            • Solid oral and written communication skills.
                                                            • Experience on writing reports on findings and analysis of privacy issues.
                                                            • +
                                                            +


                                                            What we look for

                                                            +

                                                            +

                                                            We’re interested in intellectually curious people with a genuine passion for cybersecurity, data protection and privacy. If you have the confidence in both your presentation and technical abilities to grow into a leading expert here, this is the role for you.

                                                            +


                                                            Diversity and Inclusion at EY

                                                            +

                                                            +

                                                            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                            +


                                                            What we offer

                                                            +


                                                            At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                            +

                                                            +

                                                            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                            +
                                                            • Support and coaching from some of the most engaging colleagues in the industry
                                                            • Learning opportunities to develop new skills and progress your career
                                                            • The freedom and flexibility to handle your role in a way that’s right for you
                                                            • +
                                                            +

                                                            +

                                                            EY | Building a better working world

                                                            +


                                                            EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                                            +


                                                            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                                            +


                                                            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                            ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,feed-importer@jobboard.io,,,,2022-07-04T20:49:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/131887931-senior-consultant-privacy-and-data-trust-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,expired,2022-06-16T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +5221c5fd-9539-4037-a1df-0ab4b277620f,115720713,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Ontario, Canada",2022-03-20T13:31:02.035Z,"
                                                            +

                                                            Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                                            +

                                                            What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                            -

                                                            Job Description:

                                                            -

                                                            Role Summary

                                                            -

                                                            The Corporate Applications Services (CAS) /Finance Shared Services team is looking for a Business Data Analyst (SAP) role with adequate analytical skills and business systems to become a member of the Finance Shared Services team and be part of the SAP COE(Centre of Excellence), support organization going forward.

                                                            +

                                                            As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company\'s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

                                                            -

                                                            In this position, you will serve as the primary resource for SAP General Ledger, Group Reporting & Business Warehouse applications (including Master Data, Chart of Values & Reporting Hierarchies) pertaining to operation support and project initiatives reporting to the Manager Business System Analysis.

                                                            +

                                                            More about Thomson Reuters Labs - http://tr.com/ai-jobs

                                                            -

                                                            What will you do?

                                                            +

                                                            About the role

                                                            +

                                                            In this opportunity you will:

                                                              -
                                                            • Support Director/Manager Business Systems Analysis in day-to-day operations regarding reference data/master data maintenance and management

                                                            • -
                                                            • Working with the client to ensure day-to-day support and maintenance activities, which include problem solving

                                                            • -
                                                            • Performing finance related activities in multiple system landscapes, such as revaluation/translation and consolidation

                                                            • -
                                                            • Identification/tracking/resolution as well as new requests including the new projects and enhancements

                                                            • -
                                                            • Participate in business requirement gathering and analysis and contribute on the reference data requirements identification and configuration

                                                            • -
                                                            • Documentation and maintenance of operational guides and documentation

                                                            • -
                                                            • Documentation of user documents and training the users on applications supported by FSS

                                                            • -
                                                            • Working and coordinating effectively with our offshore partners to ensure quality and timely deliverables

                                                            • -
                                                            • Work with technical team, business systems analyst to resolve any issues/defects from the Finance users

                                                            • +
                                                            • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

                                                            • +
                                                            • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                                            • +
                                                            • Delivery: You will be accountable for timely, well-managed deliverables.

                                                            • +
                                                            • Innovate: You will be empowered to try new approaches and learn new technologies.

                                                            • +
                                                            • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                                            -

                                                            What will you need to succeed?

                                                            +

                                                            About you

                                                            +

                                                            You are a fit for the role if you have:

                                                              -
                                                            • Business, accounting and/or finance degree

                                                            • -
                                                            • Minimum of 2 years of experience in the financial services industry with extensive knowledge of financial analyses and reporting

                                                            • -
                                                            • Strong computer skills in Microsoft Office applications with proficiency in Excel and PowerPoint.

                                                            • -
                                                            • Strong written and oral communication skills and the ability to effectively communicate at most levels of the organization

                                                            • -
                                                            • Strong data analytics skills

                                                            • -
                                                            • Solid understanding of accounting systems and processes

                                                            • -
                                                            • Working experience of SAP general ledger and reporting applications (1-2 years), similar ERP systems will be considered, and SAP training will be provided

                                                            • +
                                                            • Ph.D. in a relevant discipline or Master\'s plus a comparable level of experience

                                                            • +
                                                            • At least one year of industry experience building IR/NLP/ML systems

                                                            • +
                                                            • Solid software engineering skills for prototyping

                                                            -

                                                            Unique Requirements

                                                            +

                                                            Preferred qualifications

                                                              -
                                                            • Occasional work outside of normal business hours as part of a global team

                                                            • -
                                                            • Occasional weekend work in support of project delivery and implementations

                                                            • +
                                                            • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                                            • +
                                                            • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                                            • +
                                                            • Proven communication skills and ability to work on deliverables independently

                                                            • +
                                                            • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                                            -

                                                            What’s in it for you?

                                                            +

                                                            What\'s in it for you

                                                            +

                                                            At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                                              -
                                                            • Great Place to Work® Certified in Canada and the US.

                                                            • -
                                                            • Named 2021 “Best Places to Work” by Glassdoor

                                                            • -
                                                            • Canada Award for Excellence for Mental Health at Work - 2021

                                                            • -
                                                            • Flexible hybrid work model including in-country work-from-home if you prefer.

                                                            • -
                                                            • Pension, stock and savings programs to help build and enhance your future financial security

                                                            • -
                                                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                            • -
                                                            • A friendly, collaborative, and inclusive culture

                                                            • -
                                                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                            • +
                                                            • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                                            • +
                                                            • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                                            • +
                                                            • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                                            • +
                                                            • Perks: Social events & activities, employee discount programs

                                                            • +
                                                            • Social Impact: Paid time off for volunteering virtually or in your community

                                                            -

                                                            #LI-Remote

                                                            -
                                                              +

                                                              #LI-JS3

                                                              -

                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                              +

                                                              COVID-19 Vaccination Status Information Requirement (US employees only):

                                                              +

                                                              Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                              -

                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                              +

                                                              Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                              -

                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                              +

                                                              We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                              +

                                                              +

                                                              Accessibility

                                                              +

                                                              +

                                                              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                              +

                                                              +

                                                              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                              +

                                                              +

                                                              +

                                                              Protect yourself from fraudulent job postings click here to know more.

                                                              +

                                                              +

                                                              More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                              +
                                                              ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-06-28T13:31:00.000Z,True,5,4,181,https://talenthub.vectorinstitute.ai/jobs/115720713-applied-research-scientist-nlp-at-thomson-reuters,,expired,2022-03-20T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,PhD,Re-Posting an Expired Job, +f1925eb4-8a53-4094-9335-9973ac57e08d,131511361,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-06-14T05:07:07.232Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 153714

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                                              +

                                                              +

                                                              Key Accountabilities:

                                                              +

                                                              +
                                                              • Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                                              • Design highly efficient backend data mart to support frontend application
                                                              • Develop python based web application to support AML requirements
                                                              • Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                                              • Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                                              • Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                              • +
                                                              +

                                                              +

                                                              Experience / Education:

                                                              +

                                                              +
                                                              • Strong knowledge of python and SQL
                                                              • Familiarity with development within Linux environment
                                                              • Experienced in using python web application frameworks, like Dash, Flask, etc.
                                                              • Strong knowledge of data lifecycle for customer, account, and transactional data
                                                              • Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                                              • Familiarity with JavaScript, CSS, and HTML preferred
                                                              • Bachelor's degree in computer science, engineering, or related fields
                                                              • AML knowledge or banking knowledge is an asset
                                                              • +
                                                              +

                                                              +

                                                              This is a temporary, full time role for 12 months.

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,feed-importer@jobboard.io,,,,2022-06-27T20:45:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131511361-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f8c53e5f-9460-4580-9eb2-46cc22c271f2,133644152,Scotiabank,Principal Data Engineer - 9,on_site,Canada : Ontario : Toronto,2022-06-25T05:07:09.883Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 150001

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Purpose:

                                                              +


                                                              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                              +


                                                              The role of the Principal Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data. We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                              +

                                                              +


                                                              Key Accountabilities:

                                                              +


                                                              • Lead a high-functioning Product Engineering Team!
                                                              • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                                                              • Be an evangelist and drive adoption of data services and automation tools
                                                              • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                                              • Participate in design discussions focused on scalability and design and implementation best practices.
                                                              • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                                              • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                              • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                              • Lead one or more products/services and define functions or features for data platforms.
                                                              • Support and maintain a successful product

                                                              +

                                                              +


                                                              Functional Competencies:

                                                              +


                                                              • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                                              • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                                              • 3+ years of experience leading and managing software development teams
                                                              • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                                              • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                                              • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                                                              • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                                              • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                                                              • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                              • Knowledge and understanding of analytics & data science life cycle
                                                              • Knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                                              • Experience in Agile/Product/Architecture.
                                                              • Experience in Cloud Data Solutions would be an asset
                                                              • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                                              • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                                              • Strong communication skills, both written and spoken
                                                              • Attention to details, high standards for quality.
                                                              • Desire to learn, grow yourself and your team.
                                                              • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                              • Writing and maintaining related documentation.
                                                              • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                              • Helps recruit + groom technology leaders and future leaders.

                                                              +

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,feed-importer@jobboard.io,,,,2022-06-30T17:10:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/133644152-principal-data-engineer-9-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,expired,2022-06-25T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-06-16T10:46:10.130Z,"
                                                              +

                                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                              +

                                                              +

                                                              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                              +

                                                              +

                                                              To learn more about CIBC, please visit CIBC.com

                                                              +

                                                              +

                                                              Job Description

                                                              +

                                                              +

                                                              +

                                                              What you’ll be doing

                                                              +

                                                              +

                                                              As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                                              +

                                                              +

                                                              At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                              +

                                                              +

                                                              How you’ll succeed

                                                              +
                                                                +
                                                              • Business analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.

                                                              • +
                                                              • Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.

                                                              • +
                                                              • Project planning and execution – As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.

                                                              • +
                                                              +

                                                              +

                                                              Who you are

                                                              +
                                                                +
                                                              • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                              • +
                                                              • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents

                                                              • +
                                                              • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                              • +
                                                              • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                              • +
                                                              • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.

                                                              • +
                                                              • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                              • +
                                                              +

                                                              +

                                                              What CIBC Offers

                                                              +

                                                              +

                                                              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                              +
                                                                +
                                                              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                              • +
                                                              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                              • +
                                                              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                              • +

                                                              -

                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                              -

                                                              Sun Life is committed to the health and safety of all those in our workplaces and our communities. In accordance with Sun Life’s Vaccination Policy (Canada):

                                                              +

                                                              What you need to know

                                                                -
                                                              • Employees permitted to work remotely are required to be fully vaccinated against COVID-19 in order to attend a Sun Life office, Financial Centre or offsite location where activity related to Sun Life business occurs.

                                                              • -
                                                              • Employees whose job duties require them to attend a Sun Life office, Financial Centre or offsite location for Sun Life business must be fully vaccinated against COVID-19 effective May 1st. Employees in these roles may participate in Sun Life’s Rapid Screening Program as an alternative until April 30th.

                                                              • +
                                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                              • +
                                                              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                              -

                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                              -

                                                              Salary Range:

                                                              56,300/56 300 - 92,900/92 900

                                                              -

                                                              Job Category:

                                                              Business Analysis - Systems

                                                              -

                                                              Posting End Date:

                                                              17/04/2022
                                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00056872-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-04-18T07:31:02.952Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/119809553-business-data-analyst-at-sun-life-financial,,expired,2022-04-11T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-03-25T07:33:16.801Z,"

                                                              About the role

                                                              -

                                                              Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                              -

                                                              Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                              -

                                                              Qualifications

                                                                -
                                                              • 7-10 years of commercial experience in a data science role solving high impact business problems
                                                              • -
                                                              • You have well built technical experience that inspires individual contributors creativity and innovation.
                                                              • -
                                                              • You have experience with product leadership and technical decision making.
                                                              • -
                                                              • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                                              • -
                                                              • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                                              • -
                                                              • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                                              • -
                                                              • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                                              • -
                                                              • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                              • -
                                                              -

                                                              What would be great if you have:

                                                              -
                                                                -
                                                              • Previous experience using Spark.
                                                              • -
                                                              • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                                              • -
                                                              • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                                              • -
                                                              +

                                                              +

                                                              +

                                                              Job Location

                                                              Toronto-81 Bay, 31st Floor

                                                              Employment Type

                                                              Regular

                                                              +

                                                              Weekly Hours

                                                              37.5

                                                              Skills

                                                              +

                                                              Business Intelligence (BI), Business Intelligence Tools, Business Requirements, Microsoft Excel, Structured Query Language (SQL)
                                                              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2225995,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-30T10:51:07.785Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/131925286-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-06-16T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +82c565a3-0ed6-4a2e-9c53-4f2b6dea94cc,129197757,CIBC,"Consultant, Risk Analytics",on_site,"Ontario, Canada",2022-06-02T10:45:08.034Z,"
                                                              +

                                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                              +

                                                              +

                                                              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                              +

                                                              +

                                                              To learn more about CIBC, please visit CIBC.com

                                                              +

                                                              +

                                                              Job Description

                                                              +

                                                              +

                                                              What You’ll Be Doing

                                                              +

                                                              +

                                                              Enterprise Risk Management (ERM) establishes and provides an independent risk perspective, strategic direction and leadership for various groups in ERM. One of the group is Risk Data Management office whose purpose is to promote and improve the value of risk data as a strategic asset within Risk Management. The core accountability of the Risk Data Management Office (RDMO) is to provide governance and oversight, to support various risk systems, as well as to execute risk data management processes across retail and wholesale credit risk data, market risk and trading credit risk, and operational risk data.

                                                              +

                                                              +

                                                              As a Consultant, Risk Analytics for Credit Model Performance Monitoring (CMPM) Delivery team, you can partner with Risk Management and Technology stakeholders to document, develop and test scorecards for Financial Crimes Model Performance Monitoring (FCMPM) and Credit Model Performance Monitoring (CMPM). You can also assist in the execution of controls related to the integrity of risk data and conduct ongoing data quality reviews and ensure that new initiatives meet the standards required to support the business unit’s objectives and overall controls. Also the successful candidate can manage the processes and procedures around scorecard development for CMPM/FCMPM and support ongoing user inquiries into scorecard results and triage and resolve any issues as required

                                                              +

                                                              +

                                                              Who You Are

                                                              +
                                                                +
                                                              • +You have a graduate degree in Finance or STEM undergraduate degree. Exposure to machine learning coursework (Math, Data Analytics, Economics, Finance, Data Science) will be an asset.
                                                              • +
                                                              • +You have experience in Data Analysis tools (SQL, SAS EG, Hadoop, Netezza)
                                                              • +
                                                              • +You can demonstrate experience in building scorecards and dashboards for AML and Credit Risk monitoring. You have good coding skills, and have used SQL to extract and transform data for the purpose of producing reports for internal and external use
                                                              • +
                                                              • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                              • +
                                                              • +You have a key eye for Attention to detail as this position involves working with data, including validation of certain input data and verification of results.
                                                              • +
                                                              • +You have good knowledge of risk management terminology and principles. Experience in process improvement and project application development lifecycle
                                                              • +
                                                              • +You are familiar with relational databases and solid knowledge of database concepts.
                                                              • +
                                                              • +You can demonstrate excellent organizational and time management skills: ability to simultaneously manage multiple tasks and conflicting demands within time constraints with minimal supervision and effectively prioritize workload
                                                              • +
                                                              • +You are Flexible and have the ability to adapt to constantly evolving system, product and methodology changes
                                                              • +
                                                              • +You will ensure the you have the expertise in identification of metrics, thresholds and business rules for measuring data quality (i.e. accuracy, integrity, completeness, timeliness, latency and coverage)
                                                              • +
                                                              • +You will prepare and communicate insightful analysis including, variance analyses and risk performance.
                                                              • +
                                                              • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                              • +
                                                              • +You are skillful in evaluating complex data relationships and developing fact based reports and presentations on the knowledge gained from the analysis; being able to generate insights and recommend solutions to problems and present the outcomes.
                                                              • +
                                                              • +You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                                              • +
                                                              • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                              • +
                                                              +

                                                              +

                                                              How You’ll Succeed

                                                              +
                                                                +
                                                              • +You exhibit CIBC’s values of trust, team work, and accountability
                                                              • +
                                                              • +You will frequently liaise with other departments to establish collaborative relationships, provide expertise, and communicate forecasting estimates.
                                                              • +
                                                              • +You will be responsible for data-driven forecasts that enhance efficiency and predictability.
                                                              • +
                                                              • +You are keen in problem solving
                                                              • +
                                                              • +You process good writing and visual presentation skills sufficient to articulate the results of analysis performed
                                                              • +
                                                              • +You have well-developed communication skills to facilitate development of good working relationships within CIBC
                                                              • +
                                                              • +You are able to execute job functions with minimal supervision
                                                              • +
                                                              +

                                                              +

                                                              What CIBC Offers

                                                              +

                                                              +

                                                              At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                              +
                                                                +
                                                              • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                                              • +
                                                              • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                                              • +
                                                              • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                                              • +
                                                              • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                                              • +
                                                              +

                                                              +

                                                              What you need to know

                                                              +
                                                                +
                                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                              • +
                                                              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                              • +
                                                              +

                                                              +

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Job Location

                                                              Toronto-81 Bay, 31st Floor

                                                              Employment Type

                                                              Regular

                                                              +

                                                              Weekly Hours

                                                              37.5

                                                              Skills

                                                              +

                                                              Cloudera Hadoop, IBM Netezza, Microsoft Azure, SAS BI, Structured Query Language (SQL)
                                                              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Analytics_2218846,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-06T19:24:21.258Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/129197757-consultant-risk-analytics-at-cibc,,expired,2022-06-02T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +942e223f-ae2b-427f-9c85-aca79031e453,137619797,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-07-16T21:46:02.964Z,"
                                                              +

                                                              What\'s the opportunity?

                                                              +

                                                              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                              +

                                                              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                              +
                                                              +
                                                              +

                                                              Your responsibilities include:

                                                              +
                                                                +
                                                              • Developing novel AI solutions that facilitate impactful products;
                                                              • +
                                                              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                              • +
                                                              • Working with the development team to transfer research work into production;
                                                              • +
                                                              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                              • +
                                                              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                              • +
                                                              +
                                                              +

                                                              You’re our ideal candidate if you have:

                                                              +
                                                                +
                                                              • A passion for solving open problems using data and algorithms;
                                                              • +
                                                              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                              • +
                                                              • Ability to formulate and drive a research project independently without close supervision;
                                                              • +
                                                              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                              • +
                                                              -
                                                              -

                                                              All your information will be kept confidential according to EEO guidelines.

                                                              -

                                                              If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                              -

                                                              #LI-REMOTE

                                                              -

                                                              Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                              -

                                                              Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                              -

                                                              At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                              How we hire

                                                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                              Learn more about our hiring process -
                                                              -
                                                              -
                                                              -
                                                              ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-04-27T13:48:06.672Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/116632741-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-03-25T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -3adf9515-f019-4ec9-b02f-2e6f940c1275,117636643,BenchSci,Engineering Manager - Data,on_site,"Toronto, Ontario /",2022-04-01T05:06:09.890Z,"
                                                              -
                                                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                              -

                                                              -
                                                              We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                                                              -

                                                              -

                                                              -
                                                              -
                                                              -

                                                              You Will:

                                                              -
                                                                  -
                                                                • Own and drive execution of product and technical roadmaps
                                                                • -
                                                                • Take a leadership role in our recruiting, hiring, and onboarding processes
                                                                • -
                                                                • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                                                • -
                                                                • Help improve the processes and patterns of data engineering at BenchSci
                                                                • -
                                                                • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                                                • -
                                                                • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                                                • -
                                                                • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                                                • -
                                                                • Delegate tasks and manage all technical issues within your team
                                                                • -
                                                                • Work with your team to continuously drive improvements in quality and productivity
                                                                • -
                                                                • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                                                • -
                                                              -
                                                              -
                                                              -

                                                              You Have:

                                                              -
                                                                  -
                                                                • 5+ years of experience working as a professional developer
                                                                • -
                                                                • 2+ years of experience working as an engineering team manager
                                                                • -
                                                                • Experience in a leadership role providing technical direction to less senior staff
                                                                • -
                                                                • A proven track record of delivering complex development projects
                                                                • -
                                                                • Solid experience with relational databases and data modeling
                                                                • -
                                                                • Production experience with data processing tools such as Spark or Beam
                                                                • -
                                                                • Software engineering experience in Python
                                                                • -
                                                                • Well-versed in Agile practices
                                                                • -
                                                                • Strong leadership, engineering skills, and communication skills
                                                                • -
                                                                • The ability to understand and explain complex systems, and independently learn new technologies
                                                                • -
                                                              -
                                                              -
                                                              -
                                                              Benefits and Perks:
                                                              -
                                                              An engaging remote-first culture that hires the best talent from around the world
                                                              -
                                                              A competitive compensation package that includes BenchSci equity options
                                                              -
                                                              Comprehensive health and dental benefits with an emphasis on mental health
                                                              -
                                                              An annual Executive Health Assessment at Medcan for proactive health awareness
                                                              -
                                                              Three weeks of vacation plus an additional day for every completed year
                                                              -
                                                              A $2000 Annual Learning & Development budget
                                                              -
                                                              Generous parental leave benefits with a top-up plan or paid time off options
                                                              -
                                                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                              -
                                                              A $1000 work from home allowance to make your home setup perfect for you
                                                              -
                                                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                              -
                                                              An executive coach for managers to assist in leading high-performing teams
                                                              -
                                                              Complimentary Headspace account to support mental wellness and focus
                                                              -
                                                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                              -

                                                              -
                                                              Our Culture:
                                                              -
                                                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                              -

                                                              -
                                                              Diversity, Equity, and Inclusion:
                                                              -
                                                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                              -

                                                              -
                                                              Accessibility Accommodations:
                                                              -
                                                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                              -

                                                              -
                                                              #LI-Remote
                                                              -
                                                              ",,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-28T18:45:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/117636643-engineering-manager-data-at-benchsci,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4,expired,2022-04-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, -35b46559-32ab-4bc4-84b3-67688d030342,117334496,Shopify Inc.,"Senior Data Science Manager - Merchant Services, Retail Growth (Remote, Canada)",on_site,"Ontario, Canada",2022-03-31T07:33:08.099Z,"

                                                              About the role

                                                              -

                                                              Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.

                                                              -

                                                              As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.

                                                              -

                                                              For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:

                                                              -
                                                                -
                                                              • Help drive customer acquisition, growth and activation to help us help merchants around the world
                                                              • -
                                                              • Use data to gain insights and drive decisions in growing a customer base

                                                              • -
                                                              • Lead a large team across multiple time zones and work cohesively to achieve shared goals

                                                              • -
                                                              • Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail

                                                              • -
                                                              • Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences

                                                              • -
                                                              • Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing

                                                              • -
                                                              • Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals

                                                              • -
                                                              • Leverage deep industry knowledge to create broad awareness of the possibilities using data

                                                              • -
                                                              -

                                                              -

                                                              Qualifications

                                                              You will need to have:

                                                              +
                                                              +

                                                              What’s in it for you?

                                                              +
                                                                -
                                                              • 5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts

                                                              • -
                                                              • Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation

                                                              • -
                                                              • Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds

                                                              • -
                                                              • Applied experience working with large datasets both as an individual contributor and a leader

                                                              • -
                                                              • Familiarity with design and analysis of controlled experiments (A/B testing)

                                                              • -
                                                              • Hands-on experience with data querying languages (e.g. SQL)

                                                              • -
                                                              • Experience leading managers and senior individual contributors

                                                              • -
                                                              • Deep understanding of the Python programming language (strongly preferred)

                                                              • +
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • +
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • +
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • +
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              -

                                                              This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.

                                                              -
                                                              -
                                                              -
                                                              -

                                                              All your information will be kept confidential according to EEO guidelines.

                                                              -

                                                              If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                              -

                                                              #LI-REMOTE

                                                              -

                                                              -

                                                              Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                              -

                                                              Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                              -

                                                              At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                              How we hire

                                                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                              Learn more about our hiring process -
                                                              +

                                                              About Borealis AI

                                                              -
                                                              ",,https://www.shopify.ca/careers/senior-data-science-manager-merchant-services-retail-growth-remote-canada_245aae24-4edd-44ba-a294-306aa4f1e0ef,feed-importer@jobboard.io,,,,2022-04-30T13:13:01.217Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/117334496-senior-data-science-manager-merchant-services-retail-growth-remote-canada-at-shopify-inc,,expired,2022-03-31T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Bachelors Degree,New Posting, -83c2aeb3-20f2-4a19-9b93-e106f34cfe6e,120269992,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.753Z,"
                                                              +

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              +

                                                              Inclusion and Equal Opportunity Employment

                                                              +

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              +

                                                              ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/137619797-machine-learning-researcher-at-borealis-ai,,expired,2022-07-16T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, +a4dfec8e-268e-405b-8f55-e8d002acacff,132558474,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-19T07:35:02.952Z,"

                                                              Description

                                                              +


                                                              Join our team and what we\'ll accomplish together

                                                              -

                                                              Join our team

                                                              -


                                                              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                              -

                                                              -

                                                              The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                              -


                                                              Here’s the impact you’ll make and what we’ll accomplish together

                                                              -

                                                              -

                                                              You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                              -
                                                              -
                                                              -
                                                              -

                                                              Here\'s How

                                                              -
                                                              +

                                                              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                              +


                                                              We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                              +


                                                              Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                              +

                                                              You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                              +


                                                              Here\'s how

                                                                -
                                                              • Lead the iterative development, validation, and deployment of AI/ML models
                                                              • +
                                                              • Lead the iterative development, validation, and deployment of AI/ML models
                                                              • Collaborate on end-to-end automation efforts required to bring models to production
                                                              • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                              • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                              • @@ -38875,16 +37723,13 @@ d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data S

                                                                Qualifications

                                                                -

                                                                -

                                                                -

                                                                You\'re the missing piece of the puzzle

                                                                +


                                                                What you bring

                                                                  -
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • -
                                                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                • +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • +
                                                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                                • -
                                                                • You have experience architecting and deploying end to end AI solutions in the cloud with reliability, scalability, security, and privacy considerations
                                                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                                • You possess advanced knowledge in SQL and distributed computing
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • @@ -38898,458 +37743,1054 @@ d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data S
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                                • Experience with agile methodology and work in a start-up environment
                                                                • GCP or other cloud certifications
                                                                • -
                                                                • Bayesian / Belief Networks, and Causal Inference
                                                                • +
                                                                • Experience with Bayesian / Belief Networks, and Causal Inference
                                                                • +
                                                                • Back end/API development experience
                                                                +

                                                                #DSEjobs

                                                                -
                                                              ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/556220017/,feed-importer@jobboard.io,,,,2022-05-14T14:06:26.126Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/120269992-senior-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -a9c53c4f-9741-4d78-87a3-72911449764c,120230008,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, Ontario /",2022-04-14T05:06:03.400Z,"
                                                              -
                                                              About us
                                                              -
                                                              Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.
                                                              +
                                                              ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-20T14:06:00.452Z,False,0,13,69,https://talenthub.vectorinstitute.ai/jobs/132558474-data-scientist-at-telus,,expired,2022-06-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +7ca15e3d-f69a-42f7-821f-8985d7beeaeb,132026754,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-06-16T22:46:08.050Z,"

                                                              Job Description

                                                              Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                                              +

                                                              Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                                              +

                                                              In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                                              +

                                                              An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                                              +

                                                              Experience in large data and platform modernizations/reengineering/migrations desirable.

                                                              +

                                                              Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                                              +

                                                              Excellent written and spoken communications skills in English and/or French.

                                                              +

                                                              +

                                                              +



                                                              Qualifications

                                                              Qualifications
                                                              8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                                              3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                                              Experience developing or migrating Spark workloads
                                                              Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                                              Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                                              Strong written communication skills. Is effective and persuasive in both written and oral communication
                                                              Secret Security clearance Eligibility desirable.

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              +
                                                              +

                                                              Equal Employment Opportunity Statement

                                                              +

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              +

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              +

                                                              Requesting An Accommodation

                                                              +

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              +

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              +

                                                              Other Employment Statements

                                                              +

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              +

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-20T14:07:32.201Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/132026754-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-06-16T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strategist,on_site,"Markham, ON",2022-07-11T21:07:02.662Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +
                                                              +

                                                              +

                                                              Department Overview

                                                              +
                                                              +

                                                              We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                                              +

                                                              The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                              +

                                                              The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                                              +
                                                              +

                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.
                                                              The strategist

                                                              +
                                                                +
                                                              • Must balance loss decisions with the impact to operational teams and the customer experience.
                                                              • +
                                                              • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                                              • +
                                                              +

                                                              The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                              +

                                                              Accountabilities:

                                                              +

                                                              Fraud Loss Management

                                                              +
                                                                +
                                                              • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                              • +
                                                              • Design and develop advanced analytics tools to derive business insights from data and information
                                                              • +
                                                              • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                                              • +
                                                              • Executes strategy design and configuration in all fraud prevention platforms (e.g. Faclon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                              • +
                                                              • Supports case valuation and prioritization to optimize fraud management
                                                              • +
                                                              • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                              • +
                                                              +

                                                              Process Support

                                                              +
                                                                +
                                                              • Produce timely diagnostics to identify system, strategy and operational issues
                                                              • +
                                                              • Participates in defect analysis to identify and remediate fraud coverage gaps
                                                              • +
                                                              • Identify and assess new developing fraud trends as they evolve
                                                              • +
                                                              • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                                              • +
                                                              +

                                                              Partner Support

                                                              +
                                                              • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                                              +
                                                              • Support the continuous improvement agenda for our operational partners
                                                              +
                                                              +

                                                              +

                                                              Requirements

                                                              +
                                                              +
                                                                +
                                                              • Undergraduate degree from a technical domain (e.g. mathematics/statistics, computer science, engineering)
                                                              • +
                                                              • Experience working with big data management and analytics tools
                                                              • +
                                                              • Proficiency in a data extraction/analysis/visualization tool. Examples include: SQL, Python, SAS, Knowledge Seeker, Excel, Tableau
                                                              • +
                                                              • Demonstrated analytical, modeling and problem solving skills
                                                              • +
                                                              • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                              • +
                                                              • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                              • +
                                                              • Ability to take initiative and work independently under tight timelines
                                                              • +
                                                              • Ability to work collaboratively and build relationships
                                                              • +
                                                              • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                              • +
                                                              +

                                                              Preferable

                                                              +
                                                                +
                                                              • Experience in fraud management is an asset
                                                              • +
                                                              • Knowledge of machine learning is an asset
                                                              • +
                                                              +
                                                              +

                                                              +

                                                              Hours

                                                              +
                                                              37.5
                                                              +

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-18T21:12:19.787Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136709837-senior-fraud-strategist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,expired,2022-07-11T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +2ed30b36-d7a9-428d-a0e4-0acd7e6f484e,131511368,FreshBooks,Data Engineering - Team Lead (Americas - Remote),on_site,"Toronto, ON, Canada",2022-06-14T05:07:09.760Z,"

                                                              +

                                                              It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                                              +

                                                              +

                                                              The Opportunity

                                                              +

                                                              FreshBooks is seeking a Data Engineering Team Lead to join our team. As part of the Data and Analytics Team, you will help us build and shape the future of our Data Engineering and Production Support teams, framework and processes. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                                              +

                                                              What you'll do:

                                                              +
                                                                +
                                                              • Build, mentor and lead a team that specializes in data engineering.
                                                              • +
                                                              • Identify and encourage areas for growth and improvement within the team.
                                                              • +
                                                              • Create a technical vision in order to turn it into reality with the help of the team.
                                                              • +
                                                              • Maintain high standards of quality within the team by establishing good practices and habits. Identify and encourage areas for growth and improvement within the team.
                                                              • +
                                                              • Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
                                                              • +
                                                              • Participate in peer-reviews of solution designs and related code.
                                                              • +
                                                              • Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.
                                                              • +
                                                              • Adhere to high-quality development principles while delivering solutions on-time and on-budget.
                                                              • +
                                                              • Collaborate with data engineers, data scientists, and data analysts to design and refine a series of SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                                              • +
                                                              • Design a robust incident management framework and work closely with Data Engineering management and product owners to provide timely and accurate communications.
                                                              • +
                                                              • Collaborate closely with platform, infrastructure and architecture teams to ensure our data engineering systems are well structured for scale, performance and cost.
                                                              • +
                                                              +

                                                              What you bring:

                                                              +
                                                                +
                                                              • Enthusiasm for data engineering!
                                                              • +
                                                              • 5+ years experience creating and maintaining data pipelines
                                                              • +
                                                              • Experience leading a team in the data & analytics industry
                                                              • +
                                                              • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                                              • +
                                                              • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                                              • +
                                                              • Experience with Airflow (Workflow Management Platform)
                                                              • +
                                                              • Strong programming skills in SQL and Python or a similar language
                                                              • +
                                                              • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Dataflow, Apache Beam, Spark, etc.)
                                                              • +
                                                              • Experience with Docker, Jenkins, Kubernetes, Terraform, and/or other DevOps and infrastructure as code technologies.
                                                              • +
                                                              • Experience with monitoring, incident management and alert management tools (e.g. Datadog, PagerDuty)
                                                              • +
                                                              • A strong practitioner of test-driven (and behaviour driven) development
                                                              • +
                                                              • Experience with Git workflows, continuous integration and automated build pipelines
                                                              • +
                                                              • Experience working in an Agile environment
                                                              • +
                                                              +

                                                              What you might bring:

                                                              +
                                                                +
                                                              • A track record of staying at the forefront of data engineering technology.
                                                              • +
                                                              • Experience with industry ETL & BI tools (e.g. Fivetran, Stitch, Talend, Informatica, Datastage, Looker, Tableau, PowerBI, etc.)
                                                              • +
                                                              • Subject matter data expertise in the SaaS industry.
                                                              • +
                                                              • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                                              • +
                                                              +

                                                              Why Join Us

                                                              +

                                                              We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one, right here in downtown Toronto.

                                                              +

                                                              Apply now

                                                              +

                                                              Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                                              +

                                                              FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                                              +

                                                              Here at FreshBooks, we welcome and encourage applications from people with disabilities. Should you require any accommodations during the recruitment process, please advise your recruiter on how we can meet your needs to ensure a fair and equitable selection process in a confidential manner.

                                                              +

                                                              +

                                                              #LI-MD2

                                                              ",,https://boards.greenhouse.io/freshbooks/jobs/4316675,feed-importer@jobboard.io,,,,2022-07-16T13:28:52.190Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/131511368-data-engineering-team-lead-americas-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4316675,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +80482217-1491-4ee2-aa9e-a0c9442c6cc1,131892881,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-06-16T05:07:09.444Z,"
                                                              +
                                                              Who are we?
                                                              +
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

                                                              -
                                                              Job Description
                                                              -
                                                              We are seeking exceptional graduate students for an 8 to 12-month internship in 2022. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
                                                              +
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

                                                              -
                                                              Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:
                                                              -
                                                              - Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions
                                                              -
                                                              - Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility
                                                              -
                                                              - Organize internal hackathons to quickly prototype solutions to problems
                                                              +
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              +

                                                              +
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              +

                                                              +
                                                              Why this role?
                                                              +
                                                              This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                                              +

                                                              +
                                                              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                                              -

                                                              Requirements

                                                              +

                                                              As a Software Engineer, you will:

                                                                  -
                                                                • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                                • -
                                                                • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                                • -
                                                                • Excellent scientific writing and presentation skills.
                                                                • -
                                                                • Programming experience in at least one of Python, C or C++
                                                                • -
                                                                • Strong organizational, interpersonal, and communication skills.
                                                                • +
                                                                • Build model inference framework and infrastructure.
                                                                • +
                                                                • Build model production pipeline tools.
                                                                • +
                                                                • Integrate various third party model runtimes.
                                                                • +
                                                                • Build model performance profiling tools.
                                                                • +
                                                                • Optimize frameworks and improve system design.
                                                              -

                                                              What we offer

                                                              +

                                                              You may be a good fit if you have:

                                                                  -
                                                                • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                                • -
                                                                • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                                • -
                                                                • Competitive compensation package
                                                                • +
                                                                • Extensive software engineering experience writing production-quality code.
                                                                • +
                                                                • Experience optimizing systems and tools.
                                                                • +
                                                                • Basic understanding of machine learning workflow.
                                                                • +
                                                                • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                                              -
                                                              -
                                                              Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                              -

                                                              -
                                                              Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                              -
                                                              ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,feed-importer@jobboard.io,,,,2022-05-14T14:04:06.282Z,False,0,15,94,https://talenthub.vectorinstitute.ai/jobs/120230008-graduate-research-intern-machine-learning-at-deep-genomics,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,expired,2022-04-14T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Masters Degree,Re-Posting an Expired Job, -efb169ee-9017-42cb-8522-2d44a6019010,120202543,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-04-13T21:45:06.066Z,"
                                                              -

                                                              What\'s the opportunity?

                                                              -

                                                              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                              -

                                                              -

                                                              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                              -
                                                              -
                                                              -

                                                              Your responsibilities include:

                                                              -
                                                                -
                                                              • Developing novel AI solutions that facilitate impactful products;
                                                              • -
                                                              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                              • -
                                                              • Working with the development team to transfer research work into production;
                                                              • -
                                                              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                              • -
                                                              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                              • -
                                                              +
                                                              +
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              +

                                                              +
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              +

                                                              +
                                                              Our Perks:
                                                              +
                                                              🤝 An open and inclusive culture and work environment
                                                              +
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              +
                                                              🍽 Free daily lunch
                                                              +
                                                              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                              +
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                              +
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              +
                                                              🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                              +
                                                              ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-07-16T13:29:24.311Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/131892881-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-06-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-07-14T21:07:02.634Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              -

                                                              You’re our ideal candidate if you have:

                                                              -
                                                                -
                                                              • A passion for solving open problems using data and algorithms;
                                                              • -
                                                              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                              • -
                                                              • Ability to formulate and drive a research project independently without close supervision;
                                                              • -
                                                              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                              • -
                                                              +

                                                              +

                                                              Department Overview

                                                              +
                                                              Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                              +

                                                              Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                              -
                                                              -

                                                              What’s in it for you?

                                                              -
                                                              +

                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                              +

                                                              As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                                              +

                                                              You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                              +
                                                              +

                                                              +

                                                              Requirements

                                                              +
                                                              +

                                                              Must-Have

                                                                -
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • -
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • +
                                                              • Engineering leadership experience with having led high-performance engineering teams
                                                              • +
                                                              • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                                              • +
                                                              • You value good software design and sweat over details in code and API design
                                                              • +
                                                              • Knowledge of machine learning modelling workflow
                                                              • +
                                                              • You enjoy learning new technology and educating others
                                                              • +
                                                              • You strive to communicate clearly and with empathy
                                                              • +
                                                              • You take great personal pride in building robust and scalable software
                                                              • +
                                                              • You are highly accountable and have a strong sense of ownership
                                                              • +
                                                              • Ability to do detailed code reviews and give thoughtful feedback
                                                              • +
                                                              +


                                                              Nice to have

                                                              +
                                                                +
                                                              • Experience building a library or a framework
                                                              • +
                                                              • Knowledge of machine learning algorithms
                                                              • +
                                                              • Experience with Azure cloud stack
                                                              • +
                                                              • Data analytics
                                                              • +
                                                              • Comfortable with math or statistics
                                                              -

                                                              About Borealis AI

                                                              -
                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              -

                                                              ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-14T14:01:04.585Z,False,0,3,67,https://talenthub.vectorinstitute.ai/jobs/120202543-machine-learning-researcher-at-borealis-ai,,expired,2022-04-13T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -97aaa364-366c-48e3-99b0-f5bc0a036e2f,124109997,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-05T07:35:04.852Z,"
                                                              -
                                                              -

                                                              Description

                                                              -
                                                              -


                                                              Ready to create innovative solutions and best practices?

                                                              +

                                                              +

                                                              Hours

                                                              +
                                                              37.5
                                                              +

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-21T21:12:06.732Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/137266384-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +732a547c-f91c-484b-9d54-340fe7cc1eef,133484132,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-06-24T05:07:11.188Z,"

                                                              -

                                                              Join our team

                                                              -

                                                              The AI Data & Analytics team consists of Analysts, Data Scientists, Data Engineers, Strategy Managers, and Program Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies.

                                                              -

                                                              We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

                                                              +

                                                              Requisition ID: 152179

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -

                                                              Our team enjoy a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

                                                              +

                                                              Associate Data Engineer, Canadian Business Banking

                                                              -

                                                              Here’s the impact you’ll make and what we’ll accomplish together

                                                              +

                                                              Purpose

                                                              +


                                                              This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                              +



                                                              The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                              -

                                                              As an experienced professional in the field of data science, you will be part of the journey that brings us to a better understanding of our customers in order to predict their needs and interaction behaviour.

                                                              +

                                                              Accountabilities:

                                                              +


                                                              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                              • Supports the development and management of database and Business Intelligence for Business Banking
                                                              • Build data architecture for Business Banking
                                                              • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                              • Architect the generation of powerful datasets to bring successful analytics to market
                                                              • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                              • Learn the business strategy and generate ideas for insightful tools
                                                              • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                                              • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                              • Work with data users to ensure datasets produced meet their analytic needs
                                                              • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                                              • Enable quick speed to market for new data needs for the Business Bank·
                                                              • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                                              • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                                              • Keep abreast with latest database technology and data solutions
                                                              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                              • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                              • Champions a high-performance environment and contributes to an inclusive work environment.

                                                              -

                                                              With a natural curiosity to experiment, and expert knowledge of AI & ML concepts, you’ll perform hypothesis validation and develop models through an iterative approach in order to predict customer demand.

                                                              +

                                                              Education / Experience / Other Information:

                                                              +

                                                              Education
                                                              • Bachelor’s degree in Computer Science or related field or relevant experience
                                                              • Master’s degree in Computer Science – preferred

                                                              -

                                                              You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

                                                              -

                                                              Here\'s how

                                                              +

                                                              Skills/Work Experience:
                                                              • 2+ years of data engineering and software experience
                                                              • Experience with Python and/or Scala required
                                                              • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                                              • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                                              • Hands-on development in a distributed data environment an asset
                                                              • Experience with Business Intelligence Tools: Power BI, Tableau
                                                              • Excellent verbal and written communication skills are required
                                                              • Strong prioritizing and analytical skills
                                                              • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                                              • Strong technical skills in Math, Computer Science or related fields
                                                              • Excellent design and delivery capabilities
                                                              • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                              -
                                                                -
                                                              • Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                                              • -
                                                              • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices, and emerging tools/technology
                                                              • -
                                                              • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                                              • -
                                                              • Build and maintain a interlock with key stakeholders to understand business needs and priorities
                                                              • -
                                                              • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                              • -
                                                              • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                              • +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133484132-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-06-24T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +38fc4f21-0845-4766-bc37-30607691b9ea,134862639,Scotiabank,"Associate, ALM Analytics & Development",on_site,Canada : Ontario : Toronto,2022-07-01T05:07:08.933Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 156325

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Job Purpose

                                                              +

                                                              +

                                                              Be part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. Our team consists of quantitatively minded people with diverse backgrounds in engineering, physics, finance, and computer science, who bring fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                                                              +

                                                              Scotiabank Treasury has undertaken a multi-year technology transformation to create new value-added analytics and to create a leading, best-in-class Treasury unit. As a member of the Treasury Analytics & Development team, the incumbent will be conceptualizing, developing, and deploying state-of-the art analytical models, high performance simulation systems, and front-end graphical solutions to support new and existing balance sheet management initiatives. You will also be responsible for building and deploying critical daily processes that will be leveraged to deliver reports and analytical tools to various team the group supports around Treasury and beyond.

                                                              +

                                                              We are looking for a passionate and quantitatively skilled individual to join the team who is quick at learning new concepts, demonstrates curiosity, enjoys research, and who is a creative problem solver. The ideal candidate also shows a strong interest in developing elegant analytical solutions utilizing a range of software tools, implements efficient coding practices, and creates pragmatic, results-focused analytics with a focus on the end-user experience. This position is ideal for a person with an advanced education in a highly technical discipline, and who possesses prior work experience in applied analytics, software development, and modeling within the quantitative finance industry. The ideal candidate will have prior work experience with python development and IT productionalization. Experience with data visualization and customer/user experience (Cx/Ux) interface design using latest web technologies would be an asset.

                                                              +

                                                              +

                                                              Accountabilities

                                                              +

                                                              +
                                                              • Develop, test, and deploy production-ready analytical tools, web-based applications, and the technology framework to measure, forecast, and simulate balance sheet structural interest rate risk exposures, margin analysis, and portfolio stress testing
                                                              • Create new web-based, user-focused tools and reports for market facing trading desk and senior management focused on continually improving the customer experience
                                                              • Provide technical expertise and support technical deployment within the team
                                                              • Collaborate with multiple stakeholders to drive agile product version releases and faster user adoption
                                                              • Maintain existing and develop new retail and wholesale banking product cash flow models, incorporating consumer behavior trends and business-line specific assumptions and retail forecasts
                                                              • Provide timely analysis of balance sheet exposures and what-if scenario testing
                                                              • Maintain, follow, and propose standards and control protocols for the group to ensure output is correct and reproducible
                                                              • Ensure operational effectiveness to deliver analytics capabilities to end users
                                                              • Work closely with market-facing, risk management, and finance teams on the various analytical, reporting and exposure measurement issues
                                                              • Write, implement, test, and utilize sophisticated quantitative models for hedging and ALM purposes
                                                              • Present to other Treasury colleagues regarding new SIRR analytics and ALM methodology impact testing
                                                              • Identify efficiency opportunities by working with business lines in the development of new and/or changes to existing products
                                                              • Build strong partnerships and rapports with multiple Finance and infrastructure units to initiate the review, testing, and final implementation of new ALM analytics initiatives across the Bank
                                                              • Work with our IT groups to release processes and application to Bank production supported environments
                                                              • +
                                                              +

                                                              +

                                                              Functional Competencies

                                                              +

                                                              +

                                                              The incumbent must have:

                                                              +
                                                              • Strong technical knowledge in programming languages and data management software, including MATLAB, Python (Including being familiar with packages like Flask and Pandas/Numpy), SQL, C++, and Visual Basic.
                                                              • Experience in full stack development utilizing technologies such as JQuery/Javascript, React.js, Streamlit for python and back-end tools such as node.js and Flask.
                                                              • Experience in developing highly interactive, user-centric front-end web applications
                                                              • Working understanding of interest rate market dynamics
                                                              • Solid knowledge of financial and management accounting principles
                                                              • Understanding and practical experience in Interest Rate Sensitivities
                                                              • Strong presentation and communication skills, both oral and written
                                                              • Excellent analytical, problem-solving, conceptualization, and strategic thinking skills
                                                              • Ability to communicate technical and analytical concepts to a broad range of stakeholders
                                                              • Strong customer-focus with a proven ability to translate complex customer requirements into user-focused final product
                                                              • +
                                                              +

                                                              +

                                                              Education

                                                              +

                                                              +
                                                              • At least one Masters-level degree in Financial Engineering or highly technical disciplines (i.e. engineering, physics, or applied mathematics) with an undergraduate degree in physics, engineering, or computer science.
                                                              • Minimum 2 years of experience at a top-tier financial institution, preferably with knowledge in interest rate products, asset liability management, and risk management.
                                                              • +
                                                              +
                                                              • Previous model development experience and proven ability to assess, interpret, and implement financial theories, concepts, and models.
                                                              • Advanced experience in computer programming, distributive computing, database management, machine learning, and development of analytical tools with a solid understanding of statistics, derivatives concepts, as well as interest rate sensitive products.
                                                              • Expert knowledge of MATLAB data/statistical modeling software.
                                                              • Strong SQL skills with knowledge and experience in building ALM systems / processes.
                                                              • Creative problem solver and strong analytical skills.
                                                              • Ability to effectively interact with end users of the ALM Analytics & Development Team’s tools and software products
                                                              +

                                                              +

                                                              +

                                                              treasuryjobs

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/134862639-associate-alm-analytics-development-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,expired,2022-07-01T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +8161eb02-57c4-4cf6-a685-39f883ee6fa5,141830598,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-05T01:50:21.431Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +

                                                              +

                                                              Department Overview

                                                              +

                                                              The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                                              +

                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                                              +

                                                              As a Data Scientist, Cyber-Fraud, you will:

                                                              +
                                                                +
                                                              • +All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                                                  +
                                                                • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                                                • +
                                                                • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                                                • +
                                                                +
                                                              • +
                                                              • +Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                                                  +
                                                                • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                                                • +
                                                                • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                                                • +
                                                                • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                                                • +
                                                                +
                                                              • +
                                                              • +Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                                                  +
                                                                • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                                                • +
                                                                • Conduct cyber investigations and digital forensics as required
                                                                • +
                                                                +
                                                              • +
                                                              • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                                              • +
                                                              +
                                                                +
                                                              • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                                              • +
                                                              • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                                              • +
                                                              • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                                              • +
                                                              +
                                                              • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                                              -
                                                              -

                                                              Qualifications

                                                              -
                                                              -

                                                              -

                                                              You\'re the missing piece of the puzzle

                                                              -

                                                              +

                                                              +

                                                              Requirements

                                                              +
                                                              +
                                                              • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                                                -
                                                              • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                              • -
                                                              • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                              • -
                                                              • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                              • -
                                                              • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                              • -
                                                              • Proficiency with SQL
                                                              • -
                                                              • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                              • -
                                                              • Well versed in software development lifecycle and ML Ops concepts
                                                              • +
                                                              • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                                              • +
                                                              • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                                              • +
                                                              • Information security certification/accreditation or analytics certifications an asset
                                                              • +
                                                              • High level of proficiency in MS Excel, Tableau, PowerPoint
                                                              +
                                                              +

                                                              +

                                                              Hours

                                                              +
                                                              37.5
                                                              +

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-09T01:55:20.172Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/141830598-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-05T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +e02b91ae-bfb4-49bb-be4f-bb92c84ba065,139647716,Bell Canada,Data Science Developer Intern,on_site,"Toronto, Ontario",2022-07-26T18:23:04.269Z,"

                                                              Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.

                                                              +

                                                              Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                              -

                                                              Great-to-haves

                                                              +

                                                              Do you know someone who would be perfect for this opportunity? If you refer a qualified candidate who is not a current Bell employee and they are hired, you may be eligible to receive a referral bonus! Simply look for the referral hashtag in the job description to see if this role qualifies.

                                                              +

                                                              About Us:

                                                              +

                                                              The Data Engineering & Artificial Intelligence focuses largely on sourcing data, maintaining and developing machine learning models and deploying production model driven applications. Our team partners closely with other teams within the company and works most closely with Field Services, operationalizing machine learning to help us continue to transform the business.

                                                              +

                                                              +

                                                              If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Data Engineering and Artificial Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

                                                              +

                                                              +

                                                              Position Summary:
                                                              Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science Intern, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Bell to implement and operationalize machine learning models that give real-time feedback to our customers and technicians.

                                                              +


                                                              Key Responsibilities:

                                                                -
                                                              • Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                              • -
                                                              • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                              • -
                                                              • Data environments experience: MS SQL, Oracle
                                                              • -
                                                              • Experience using Google Workspace
                                                              • -
                                                              • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                              • +
                                                              • Build code and models to translate data into actionable insights
                                                              • +
                                                              • Design and develop Machine Learning models to improve Customer Experience and optimize processes
                                                              • +
                                                              • Track model performance using appropriate KPIs, metrics and techniques
                                                              • +
                                                              • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
                                                              • +
                                                              • Communicate results of analysis and models to stakeholders effectively and confidently
                                                              • +
                                                              • Translating business imperatives into data centered questions to be able to quantify and evaluate them
                                                              • +
                                                              • Bring in new sources of data by exploring data across Bell and externally
                                                              • +
                                                              • Design and expand interactive dashboards
                                                              • +
                                                              +

                                                              +

                                                              Qualifications:

                                                              +
                                                                +
                                                              • Currently enrolled or recently completed undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
                                                              • +
                                                              • Self starter with excellent problem solving skills
                                                              • +
                                                              • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
                                                              • +
                                                              • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
                                                              • +
                                                              • Experience deploying ML/AI models into production
                                                              • +
                                                              • Knowledge of machine learning practices and experience applying them to real datasets
                                                              • +
                                                              • Must be versatile and quick to learn new languages, packages and frameworks
                                                              • +
                                                              • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
                                                              • +
                                                              • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                              • +
                                                              • Team player with excellent organization and people skills
                                                              +

                                                              +

                                                              Key Information:

                                                              +
                                                              • Internship term: 8-12 months starting in September 2022

                                                              +

                                                              +

                                                              Adequate knowledge of French is required for positions in Quebec.

                                                              +

                                                              Additional Information:

                                                              +

                                                              Position Type: Contractor
                                                              Job Status:
                                                              Intern
                                                              Position Level:
                                                              CP2
                                                              Job Location:
                                                              Canada : Ontario : Toronto
                                                              Flexible work profile:
                                                              Mobile
                                                              Contact Name:
                                                              Application Deadline:
                                                              07/10/2022

                                                              +

                                                              +

                                                              Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                              +

                                                              At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                              +

                                                              +

                                                              Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                              +

                                                              +

                                                              Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                                              +

                                                              Created: Canada, ON, Toronto

                                                              ",,https://jobs.bell.ca/ca/en/job/BECACA378317EXTERNALENCA/Data-Science-Developer-Intern?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-08T18:07:00.000Z,False,0,15,76,https://talenthub.vectorinstitute.ai/jobs/139647716-data-science-developer-intern-at-bell-canada,BECACA378317EXTERNALENCA,expired,2022-07-26T18:23:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Masters Degree,New Posting, +0b74d835-1bbd-458e-94c7-c4d38cea9366,136541688,Cohere AI,Machine Learning Engineer,on_site,Toronto /,2022-07-10T05:07:02.784Z,"
                                                              +
                                                              Who are we?
                                                              +
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                              +

                                                              +
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                              +

                                                              +
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              +

                                                              +
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              +

                                                              +
                                                              Why this role?
                                                              +
                                                              Design and implement novel research ideas.
                                                              +

                                                              +
                                                              Ship state of the art models to production.
                                                              +

                                                              +
                                                              Deep connections to academia.
                                                              +

                                                              +
                                                              We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                                                              +

                                                              +
                                                              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                              +
                                                              +

                                                              Working on Machine Learning, you will:

                                                              +
                                                                  +
                                                                • Design, train and improve upon cutting-edge models
                                                                • +
                                                                • Develop new techniques to train and serve models safer, better, and faster
                                                                • +
                                                                • Train extremely large scale models on massive datasets
                                                                • +
                                                                • Engage in research collaborations with our partner organizations and academic affiliations
                                                                • +
                                                                • Publish your work in top-tier conferences and journals
                                                                • +
                                                                • Work closely with product teams to develop solutions
                                                                • +
                                                                • Assist our legal teams with preparation of patents on developed IP
                                                                • +
                                                                • Join us at a pivotal moment, shape what we build and wear multiple hats!
                                                                • +
                                                              +
                                                              +

                                                              You may be a good fit if you have:

                                                              +
                                                                  +
                                                                • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                                                                • +
                                                                • Experience using large-scale distributed training strategies
                                                                • +
                                                                • Familiarity with autoregressive sequence models, such as Transformers
                                                                • +
                                                                • Strong communication and problem-solving skills
                                                                • +
                                                                • A demonstrated passion for applied NLP models and products
                                                                • +
                                                                • +Bonus: experience writing kernels for GPUs using CUDA
                                                                • +
                                                                • +Bonus: experience training on TPUs
                                                                • +
                                                                • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                                                                • +
                                                                  * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                  +
                                                              +
                                                              +

                                                              +

                                                              +
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              +

                                                              +
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              +

                                                              +
                                                              Our Perks:
                                                              +
                                                              🤝 An open and inclusive culture and work environment
                                                              +
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              +
                                                              🍽 Free daily lunch
                                                              +
                                                              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                              +
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                              +
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              +
                                                              🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                              +
                                                              ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,14,66,https://talenthub.vectorinstitute.ai/jobs/136541688-machine-learning-engineer-at-cohere-ai,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,expired,2022-07-10T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +9719a2f1-c1d3-4f6a-97c0-80a413511505,140937005,Cohere AI,NLP Software Engineer,on_site,Toronto /,2022-08-02T05:07:04.949Z,"
                                                              +
                                                              Who are we?
                                                              +
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                              +

                                                              +
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                              +

                                                              +
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              +

                                                              +
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              +

                                                              +
                                                              Why this role?
                                                              +
                                                              As a Rapid NLP prototyper you will be responsible for prototyping, developing, and deploying a wide variety of applications using the cohere API. You will work directly with Nick Frosst (co-founder / CTO) as well as the rest of the eng team, in order to build out and publish demos and examples of NLP applications. You would be a good fit for this role if you have a wide breadth of technical background (front end / back end / ML / Infra), if you are passionate about building things, and if you are a self-starter and enjoy working independently.
                                                              +

                                                              +
                                                              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                              +
                                                              +
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              +

                                                              +
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              +

                                                              +
                                                              Our Perks:
                                                              +
                                                              🤝 An open and inclusive culture and work environment
                                                              +
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              +
                                                              🍽 Free daily lunch
                                                              +
                                                              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                              +
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                              +
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              +
                                                              🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                              +
                                                              ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/140937005-nlp-software-engineer-at-cohere-ai,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,expired,2022-08-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +9f958ec1-d095-4866-8187-bafa61c7e6c0,136097230,Air Canada,Staff Software Engineer - 29778,on_site,"Location: TORONTO, ON, Canada",2022-07-08T05:07:05.765Z,"
                                                              • Create detailed development patterns and reviews across relevant stakeholders to ensure alignment to the overall business needs including technology stack, solution architecture, security requirements and performance testing documents
                                                              • Analyze, document and optimize the overall development patterns by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices
                                                              • Participate in the selection of relevant technologies and products when solicited and actively identify products and technologies to advance the development practices and end solutions.
                                                              • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate options to audiences with limited expertise related to the selected technology
                                                              • Support the delivery of the solution by providing insights to the application development teams and project managers that plan and execute delivery activities
                                                              • Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work
                                                              • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, patterns, standards, best practices, and enterprise architectural standards.
                                                              • Serve as the primary interface with architecture, and provide technical leadership to development teams, and all internal and external teams involved in the implementation process.
                                                              • Create development patterns and coding guidelines that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with delivery teams.
                                                              • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
                                                              • Build standard patterns for different business use cases and projects.
                                                              • +
                                                              +
                                                              • Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
                                                              • Minimum of 10 years of IT experience, of which minimum 5 as a solution Experience working with integrated Enterprise systems
                                                              • Ability to work across multiple technical teams to set direction and priority
                                                              • Ability to work independently and as part of a team while demonstrating initiative and using good business acumen
                                                              • Expertise in a variety of open-source products, technologies, application and Integration frameworks.
                                                              • Expertise with web mobile application environments
                                                              • Experience in the layout and architecture planning for integrating multiple platform (mainframe, client-server, software packages with custom applications).
                                                              • Expertise with business rules engine concepts.
                                                              • Expertise in APIs, web services concepts and standards.
                                                              • Expertise in JSON, XML, XML Schema, XSL, various XML standards and web services.
                                                              • Experience in designing and implementing large server software with particular attention to security, scalability and high performance.
                                                              • Knowledge and experience with RDBMSs (DB2, MySQL, MS SQL Server, etc.)
                                                              • Experience working within multidisciplinary and collaborative environments
                                                              • Team player with effective interpersonal skills
                                                              • +
                                                              +
                                                              • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                                              • +
                                                              ",,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,feed-importer@jobboard.io,,,,2022-08-11T18:07:12.243Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136097230-staff-software-engineer-29778-at-air-canada,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,expired,2022-07-08T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-08-09T01:50:18.258Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              -
                                                              ",,https://careers.telus.com/job/Barrie-Data-Scientist-ON/557884517/,feed-importer@jobboard.io,,,,2022-05-12T19:51:00.000Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/124109997-data-scientist-at-telus,,expired,2022-05-05T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -097a0991-c122-4ba1-b4af-da2942f7c05c,122858455,BenchSci,Engineering Manager - Data (Remote),on_site,"Ottawa, Ontario /",2022-04-29T05:06:09.912Z,"
                                                              -
                                                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                              -

                                                              -
                                                              We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                                                              -

                                                              -

                                                              -
                                                              -
                                                              -

                                                              You Will:

                                                              -
                                                                  -
                                                                • Own and drive execution of product and technical roadmaps
                                                                • -
                                                                • Take a leadership role in our recruiting, hiring, and onboarding processes
                                                                • -
                                                                • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                                                • -
                                                                • Help improve the processes and patterns of data engineering at BenchSci
                                                                • -
                                                                • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                                                • -
                                                                • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                                                • -
                                                                • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                                                • -
                                                                • Delegate tasks and manage all technical issues within your team
                                                                • -
                                                                • Work with your team to continuously drive improvements in quality and productivity
                                                                • -
                                                                • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                                                • -
                                                              -
                                                              -
                                                              -

                                                              You Have:

                                                              -
                                                                  -
                                                                • 5+ years of experience working as a professional developer
                                                                • -
                                                                • 2+ years of experience working as an engineering team manager
                                                                • -
                                                                • Experience in a leadership role providing technical direction to less senior staff
                                                                • -
                                                                • A proven track record of delivering complex development projects
                                                                • -
                                                                • Solid experience with relational databases and data modeling
                                                                • -
                                                                • Production experience with data processing tools such as Spark or Beam
                                                                • -
                                                                • Software engineering experience in Python
                                                                • -
                                                                • Well-versed in Agile practices
                                                                • -
                                                                • Strong leadership, engineering skills, and communication skills
                                                                • -
                                                                • The ability to understand and explain complex systems, and independently learn new technologies
                                                                • -
                                                              -
                                                              -
                                                              -
                                                              Benefits and Perks:
                                                              -
                                                              An engaging remote-first culture that hires the best talent from around the world
                                                              -
                                                              A competitive compensation package that includes BenchSci equity options
                                                              -
                                                              Comprehensive health and dental benefits with an emphasis on mental health
                                                              -
                                                              An annual Executive Health Assessment at Medcan for proactive health awareness
                                                              -
                                                              Three weeks of vacation plus an additional day for every completed year
                                                              -
                                                              A $2000 Annual Learning & Development budget
                                                              -
                                                              Generous parental leave benefits with a top-up plan or paid time off options
                                                              -
                                                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                              -
                                                              A $1000 work from home allowance to make your home setup perfect for you
                                                              -
                                                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                              -
                                                              An executive coach for managers to assist in leading high-performing teams
                                                              -
                                                              Complimentary Headspace account to support mental wellness and focus
                                                              -
                                                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                              -

                                                              -
                                                              Our Culture:
                                                              -
                                                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                              -

                                                              -
                                                              Diversity, Equity, and Inclusion:
                                                              -
                                                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                              -

                                                              -
                                                              Accessibility Accommodations:
                                                              -
                                                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                              -

                                                              -
                                                              #LI-Remote
                                                              -
                                                              ",,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-05-13T05:11:07.143Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/122858455-engineering-manager-data-remote-at-benchsci,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2,expired,2022-04-29T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, -d0ba544f-4db5-42a1-b798-4143f2bfdd0e,120460796,FreshBooks,Data/AI Evangelist (Canada - Remote),on_site,"Toronto, ON, Canada",2022-04-15T05:06:10.413Z,"

                                                              Data/AI Evangelist

                                                              -

                                                              About FreshBooks:

                                                              -

                                                              It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                                              -

                                                              About the Data Team:

                                                              -

                                                              The Data team is responsible for driving the adoption of data driven decision making across FreshBooks - for both our internal stakeholders and our global user base of small business owners, bookkeepers and accountants. We are the center of expertise for data strategy, data architecture, data modeling, machine learning, ethical data usage and artificial intelligence service design. We lead the effort to raise the data and AI literacy levels across FreshBooks and to embed our commitments to responsible data use into culture and practices across our fast-growing organization. Data strategy is an emerging specialist group, building global collaborations to define, communicate and drive a cohesive approach to data usage that combines commercialisation, consent, ethics and sustainability. They work with colleagues from diverse backgrounds to drive robust and mature decision making around using data as a commercial asset, aligned to our belief in the primacy of customer consent.

                                                              -

                                                              The Opportunity - Data/AI Evangelist

                                                              -

                                                              As a Data Evangelist on the Data team, you will work across the FreshBooks organization to showcase how we can drive value from our rich data assets, while raising data and AI literacy across the organization. This is an internal facing role, specifically focussed on working closely with Product, Engineering, Marketing & Sales to accelerate collaboration with the Data teams and drive in-app data product use cases. You will be reporting into and supporting the Productized Insights Team Lead, whose mission is to facilitate our internal teams to deploy and deliver customer facing data products that leverage our rich data asset. This is a unique role designed to be a catalyst for the integration of AI products within our platform, and is well suited to individuals with prior experience managing and delivering in-app data science and machine learning products.

                                                              -

                                                              What you'll do:

                                                              -
                                                                -
                                                              • Establish and drive a scalable global data and AI literacy capability across FreshBooks
                                                              • -
                                                              • Help foster a data-driven culture, build trust in data
                                                              • -
                                                              • Establish and grow relationships with Product, Engineering, Marketing & Sales team leaders, to help drive adoption and use of data/ML products within those teams and across the organization.
                                                              • -
                                                              • Work closely with Product, Engineering, Marketing & Sales teams to help raise the level and complexity of data and data products usage, help teams become more data driven.
                                                              • -
                                                              • Develop training, workshops or case-studies bridge the gap between the technical expertise of data/ML teams and the business & product domains
                                                              • -
                                                              • Support data driven value discovery and facilitate data driven innovation in the product.
                                                              • -
                                                              • Develop a comprehensive approach to measuring the efficacy of the training initiative, including an estimation of the commercial benefit to FreshBooks
                                                              • -
                                                              • Identify and leverage the highest impact ways to grow knowledge across a fast growing organization where teams live with multiple, competing priorities
                                                              • -
                                                              • Seek to understand incentives and impediments around behavioral change and consider ways to make it easier for people to implement their new skills and knowledge
                                                              • -
                                                              • Use your understanding of the relationships between growing data skills and the quality of our data assets to work with the Data leadership team and relevant Product teams to highlight issues and improve the coherence and fidelity of our data.
                                                              • -
                                                              • Help uncover and translate business requirements and needs.
                                                              • -
                                                              • Help the business identify the right use cases and support prioritization based on feasibility and value.
                                                              • -
                                                              • Help with the development of a MVPs and business use cases
                                                              • -
                                                              -

                                                              -We think you'll be amazing for this position if your application can demonstrate: -

                                                              -
                                                                -
                                                              • Proven experience leading, developing and executing data/AI literacy initiatives in corporate environments
                                                              • -
                                                              • Communicating the role and value of a data driven approach as well as associated strategy/blueprint within the organizational context
                                                              • -
                                                              • Building trust and credibility with stakeholders and successful, collaborative working relationships across the business
                                                              • -
                                                              • Influencing change in dynamic, complex environments with multiple competing priorities
                                                              • -
                                                              • 2+ years of product management experience and a consistent track record of delivering impact through engineering or product teams
                                                              • -
                                                              • 2+ years of experience shipping consumer-facing technology products at scale, with proven experience in recommendations, personalization, data engineering, or machine-learning based products
                                                              • -
                                                              -






                                                              ",,https://boards.greenhouse.io/freshbooks/jobs/4128775,feed-importer@jobboard.io,,,,2022-05-19T14:22:34.752Z,False,0,2,32,https://talenthub.vectorinstitute.ai/jobs/120460796-data-ai-evangelist-canada-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4128775,expired,2022-04-15T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -9ca4ba9b-5c26-4251-896a-9542a25fda1e,121086441,Accenture,Data Engineering Senior Manager,on_site,"British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-04-17T22:46:04.238Z,"

                                                              Job Description

                                                              Data Engineering Sr Manager

                                                              -

                                                              -

                                                              Location: Toronto/ Montreal/Ottawa

                                                              -

                                                              WORK YOU’LL DO

                                                              +

                                                              Department Overview

                                                              +

                                                              Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                              -

                                                              Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

                                                              -
                                                                -
                                                              • Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.

                                                              • -
                                                              • Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers

                                                              • -
                                                              • Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated

                                                              • -
                                                              • Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders

                                                              • -
                                                              • Manage client expectations in terms of overall delivery along with Delivery leads on the ground

                                                              • -
                                                              • Establish methodology and accelerators to reduce initiation efforts from engagement to engagement

                                                              • -
                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              About this Role

                                                              +

                                                              Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                              +

                                                              As a Data Steward II, you will:

                                                                -
                                                              • Develop an overarching and compelling sales narrative around the offering

                                                              • -
                                                              • Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise

                                                              • -
                                                              • Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture

                                                              • -
                                                              • Bilingual French an asset

                                                              • +
                                                              • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                              • +
                                                              • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                              • +
                                                              • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                              • +
                                                              • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                              • +
                                                              • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                              • +
                                                              • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                              • +
                                                              • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                              • +
                                                              • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                              • +
                                                              • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                              • +
                                                              • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                                              +

                                                              -

                                                              JOB DESCRIPTION

                                                              -

                                                              -

                                                              Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

                                                              -

                                                              - -


                                                              -

                                                              Qualifications

                                                              -

                                                              Basic Qualifications

                                                              -

                                                              +

                                                              Requirements

                                                              +
                                                              +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                              • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                                              • -
                                                              • Minimum 10+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

                                                              • -
                                                              • Minimum 10+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                                              • -
                                                              • Minimum 10+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                                              • -
                                                              • Minimum 10+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                                              • -
                                                              • Minimum 10+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                                              • +
                                                              • Undergraduate degree or technical certificate
                                                              • +
                                                              • Seven (7) or more years relevant experience
                                                              • +
                                                              • Skill in using software tools, applications, data analysis methods
                                                              • +
                                                              • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                              +

                                                              -

                                                              Preferred Skills

                                                              -

                                                              -

                                                              Minimum 10+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

                                                              -

                                                              Minimum 10+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

                                                              -

                                                              Minimum 10+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

                                                              -

                                                              Minimum 10+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

                                                              -

                                                              Minimum 10+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

                                                              -

                                                              Minimum 10+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

                                                              -

                                                              -
                                                              -

                                                              Locations

                                                              British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                              -
                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement

                                                              -

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              -

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              -

                                                              Requesting An Accommodation

                                                              -

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              -

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              -

                                                              Other Employment Statements

                                                              -

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              -

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-19T14:25:23.837Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/121086441-data-engineering-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,expired,2022-04-17T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -44cfdc8c-9257-4635-a67e-35df6089f6e7,123650697,Deloitte,Omnia AI: Data Scientist - Co-op/Intern - Multiple Locations,on_site,"Ontario, Canada",2022-05-02T16:39:58.490Z,"

                                                              Date: Apr 6, 2022

                                                              -

                                                              Location: Multiple Locations, Canada

                                                              -

                                                              Company: Deloitte

                                                              -

                                                              Job Type: Co-op/Intern
                                                              Reference code: 102026
                                                              Primary Location: Multiple Locations, Canada
                                                              All Available Locations: Montreal; Calgary; Ottawa; Toronto; Vancouver

                                                              -

                                                              -

                                                              Our Purpose

                                                              -

                                                              -

                                                              At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                              -

                                                              -

                                                              By living our Purpose, we will make an impact that matters.

                                                              -

                                                              -

                                                              We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                                                              -

                                                              -

                                                              What will your typical day look like?

                                                              -

                                                              -

                                                              You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                                              +

                                                              Hours

                                                              +
                                                              37.5

                                                              -

                                                              About the team

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -

                                                              Omnia AI’s Data Science team is multi-discipline team of over 50 people across offices in Vancouver, Calgary, Montreal, and Toronto. The lead in identifying use cases, designing and building models, and working with Omnia peers to deploy large-scale solutions in data science. Applications include domains of supply chain management, customer & marketing, in government, financial services, energy and resources, consumer, and healthcare industries.

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-16T01:55:19.811Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/142721313-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +4a96a1bf-59a0-4f34-9962-5932e1d33584,137266392,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-07-14T21:07:05.202Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +

                                                              -

                                                              Enough about us, let’s talk about you

                                                              +

                                                              Department Overview

                                                              +
                                                              +

                                                              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                              +

                                                              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                              +

                                                              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                              +

                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              Delivery

                                                                -
                                                              • Enrolled in an undergraduate or graduate degree in mathematics, computer science, computer engineering or other related programs, returning to school following the co-op term
                                                              • -
                                                              • Able to look at objectives and data and apply the right data science technique given both
                                                              • -
                                                              • Can find value in data and how it helps companies achieve real and strategic value
                                                              • -
                                                              • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                                                              • -
                                                              • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                                                              • -
                                                              • Exposure/experience in data science toolkit Python, R, SQL, and others
                                                              • -
                                                              • Exposure to cloud technologies from Google, Amazon and Microsoft
                                                              • +
                                                              • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                              • +
                                                              • Build complex statistical models that learn from and scale to petabytes of data.
                                                              • +
                                                              • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                                              • +
                                                              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                              • +
                                                              • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                              • +
                                                              • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                                              +

                                                              Expertise & Leadership

                                                              +
                                                                +
                                                              • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                              • +
                                                              • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                                              • +
                                                              • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                                              • +
                                                              • Communication and Stakeholder Management
                                                              • +
                                                              • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                                              • +
                                                              • Advanced communication, business acumen and stakeholder management competencies
                                                              • +
                                                              • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                                              • +
                                                              • Exceptional collaborator in a high-interaction environment
                                                              • +
                                                              • Foresee needs from business partners to prescribe effective solutions
                                                              • +
                                                              • Leverage empirical evidence and facts to influence/support decision making
                                                              • +
                                                              • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                                              • +
                                                              • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                                              • +
                                                              +

                                                              -

                                                              Ottawa Only: Employees in the Ottawa practice will be required to obtain “reliability” and/or “Secret” level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status you must have resided in Canada for the last five (5) years and for ""Secret"" level, the last ten (10) years.

                                                              -

                                                              -

                                                              Our shared values

                                                              -

                                                              -

                                                              While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                              -

                                                              They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                              -

                                                              -

                                                              Every day, we live our Purpose through the following five shared values:

                                                              -

                                                              +

                                                              Requirements

                                                              +
                                                              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                              • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                              • -
                                                              • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                              • -
                                                              • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                              • -
                                                              • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                              • -
                                                              • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                              • +
                                                              • Ability to translate business requirements into technical and analytical tasks
                                                              • +
                                                              • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                                              • +
                                                              • Technical understanding and critical thinking to challenge status quo
                                                              • +
                                                              • Strong problem-solving skills, mathematical and data literacy
                                                              • +
                                                              • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                                              • +
                                                              • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                                              • +
                                                              • Demonstrated experience in data transformation and data manipulation.
                                                              • +
                                                              • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                                              • +
                                                              • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                                              • +
                                                              • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                                              • +
                                                              • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                                              • +
                                                              • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                                              • +
                                                              • Experience with machine learning including supervised and unsupervised models.
                                                              -



                                                              The next step is yours

                                                              Sound like The One Firm. For You? Apply by May 15, 2022 @ 11:59pm ET.

                                                              +

                                                              -

                                                              To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                              +

                                                              Additional Information

                                                              +
                                                              +#datascientist #LI-Hybrid

                                                              +

                                                              Locations:
                                                              Toronto
                                                              Montreal
                                                              Markham
                                                              London
                                                              Ottawa

                                                              +

                                                              * L7- L10

                                                              +

                                                              -

                                                              At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                              +

                                                              Hours

                                                              +
                                                              37.5

                                                              -

                                                              We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -

                                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                              -


                                                              Job Segment: Database, Scientific, Intern, Engineer, Developer, Engineering, Technology, Entry Level

                                                              ",,https://careers.deloitte.ca/job/Omnia-AI-Data-Scientist-Co-opIntern-2023-Multiple-Locations/869574200/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,True,0,12,87,https://talenthub.vectorinstitute.ai/jobs/123650697-omnia-ai-data-scientist-co-op-intern-multiple-locations-at-deloitte,,expired,2022-05-02T16:39:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, -05b0fc34-0460-47ba-9160-18f219ab716d,123740749,Scotiabank,Data Engineer - Canadian Business Banking,on_site,Canada : Ontario : Toronto,2022-05-03T05:06:07.561Z,"

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-17T19:10:06.609Z,False,0,14,51,https://talenthub.vectorinstitute.ai/jobs/137266392-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +c9e7ca78-3e5c-4414-a16a-b72d7b5035a7,137707889,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-07-17T05:07:04.031Z,"
                                                              +
                                                              Who are we?
                                                              +
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                              +

                                                              +
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                              +

                                                              +
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              +

                                                              +
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              +

                                                              +
                                                              Why this role?
                                                              +
                                                              This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                                              +

                                                              +
                                                              +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                                              +
                                                              +

                                                              As a Software Engineer, you will:

                                                              +
                                                                  +
                                                                • Build model inference framework and infrastructure.
                                                                • +
                                                                • Build model production pipeline tools.
                                                                • +
                                                                • Integrate various third party model runtimes.
                                                                • +
                                                                • Build model performance profiling tools.
                                                                • +
                                                                • Optimize frameworks and improve system design.
                                                                • +
                                                              +
                                                              +

                                                              You may be a good fit if you have:

                                                              +
                                                                  +
                                                                • Extensive software engineering experience writing production-quality code.
                                                                • +
                                                                • Experience optimizing systems and tools.
                                                                • +
                                                                • Basic understanding of machine learning workflow.
                                                                • +
                                                                • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                                                • +
                                                              +
                                                              +
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              +

                                                              +
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              +

                                                              +
                                                              Our Perks:
                                                              +
                                                              🤝 An open and inclusive culture and work environment
                                                              +
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              +
                                                              🍽 Free daily lunch
                                                              +
                                                              🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                              +
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                              +
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              +
                                                              🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                                              +
                                                              ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-08-17T19:14:02.688Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/137707889-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-07-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +69a43b52-18c2-4333-842d-1e0e94f16eea,144853702,EY,Senior - Data Governance and Strategy - Toronto,on_site,Toronto,2022-08-18T04:44:03.009Z,"

                                                              Senior - Data Governance and Strategy - Toronto

                                                              +
                                                              Location: Toronto
                                                              +
                                                              Other locations: Primary Location Only
                                                              +
                                                              Date: Sep 4, 2022
                                                              +

                                                              At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                              +

                                                              +

                                                              The opportunity

                                                              We are looking for a Senior Consultant, Data Governance and Strategy who will be joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients’ businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else. We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc. to lead and implement leading - edge data management and strategy projects.

                                                              +

                                                              Your key responsibilities

                                                              +
                                                              • Perform Data Management and Governance reviews, Data Maturity assessments
                                                              • Develop, and implement plans that will roll out the Data Management and Governance programs within the client organization
                                                              • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                                              • Perform gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                                              • Assist with implementation of the Data Management and Governance programs within the client organization
                                                              • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                                              • Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                                              • Develop our people through coaching, talent development, recruitment, and formal performance management
                                                              • +Work with the Data & Analytics (D&A) team to develop thought leadership in the Data Management space through collaborating with EY’s internal resources, participating in industry events, etc.
                                                              • +
                                                              +

                                                              Skills and attributes for success

                                                              +
                                                              • Be self-motivated and passionate about data strategy, management, and governance
                                                              • Ability to meet deadlines and manage project delivery
                                                              • Superior communication and interpersonal skills
                                                              • +Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                                              • +
                                                              +

                                                              To qualify for the role, you must have

                                                              +
                                                              • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                              • Experience working within Financial Services /Retail/Oil and Gas in a data management related role
                                                              • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                              • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                                              • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                                              • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                                              • Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
                                                              • Experience of Agile and traditional SDLC delivery methodologies
                                                              • Strong analytical and problem-solving skills
                                                              • +
                                                              +


                                                              Ideally, you’ll also have

                                                              +
                                                              • Prior consulting experience
                                                              • Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support
                                                              • Project management and process development expertise in client serving roles
                                                              • Strong organizational and time-management skills
                                                              • Ability to lead teams and take accountability for delivery
                                                              • +
                                                              +


                                                              What we look for

                                                              We’re interested in natural leaders with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you have a genuine passion for helping businesses achieve their full potential, this role is for you.

                                                              +

                                                              What EY offers

                                                              At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                              +

                                                              We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                              +
                                                              • Support and coaching from some of the most engaging colleagues in the industry
                                                              • Learning opportunities to develop new skills and progress your career
                                                              • The freedom and flexibility to handle your role in a way that’s right for you
                                                              • +
                                                              +


                                                              EY Way of Work and your health and safety

                                                              EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                                              +

                                                              +

                                                              If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                              The exceptional EY experience. It’s yours to build.

                                                              +

                                                              +

                                                              EY | Building a better working world

                                                              +

                                                              +

                                                              EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                                              +

                                                              +

                                                              Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                                              +

                                                              +

                                                              Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                              ",,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,feed-importer@jobboard.io,,,,2022-09-13T04:49:04.265Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/144853702-senior-data-governance-and-strategy-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,expired,2022-08-18T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +fed77219-3d6e-4130-93ee-8245a95fbc56,143593890,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-08-11T20:19:08.106Z,"

                                                              -

                                                              Requisition ID: 147780

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              Requisition ID: 152650

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -


                                                              Data Engineer, Analytics and Business Planning – Canadian Business Banking

                                                              -


                                                              Purpose

                                                              -


                                                              In this role you will contribute to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                              +

                                                              Purpose:

                                                              +


                                                              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                              +


                                                              As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                              +


                                                              We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                              -

                                                              The Data Engineer role supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                              +

                                                              Key Accountabilities:

                                                              +


                                                              • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                                              • Work closely with Data Office teams to design integration solutions for data products
                                                              • Provide consulting to business units on developing conceptual, logical and physical data models
                                                              • Provide consulting to business units on developing the data solutions.
                                                              • Participate in Architecture Governance forums and contribute to solution design libraries
                                                              • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                                              • Participate in evolution of data platform, analytical and data management tools and roadmap
                                                              • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                                              -

                                                              This role sits at the intersection of Business and Technology and provides the successful candidate the opportunity to make their mark on the operations of a large international bank. This position is well suited to someone who has a strong analytical background, who is looking to grow in thought leadership and who will use their knowledge and skill sets to have an impact on the organization.

                                                              -

                                                              Accountabilities:

                                                              -


                                                              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                              -


                                                              • Supports the development and management of database and Business Intelligence for Business Banking

                                                              -


                                                               Build data architecture for Business Banking
                                                               Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                               Architect the generation of powerful datasets to bring successful analytics to market
                                                               Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                               Learn the business strategy and generate ideas for insightful tools

                                                              +

                                                              Functional Competencies:

                                                              +


                                                              • Strong Design and hands-on experience building data management solutions
                                                              • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                                              • Experience building data solution patterns/design for the enterprise
                                                              • Strong understanding of conceptual, logical and physical data models
                                                              • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                                              • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                                              • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                              • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                              • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                                              • Experience in data project implementation lifecycles
                                                              • Ability to understand and suggest solutions to data design on an enterprise level
                                                              • Strong communication skills, both written and spoken
                                                              • Attention to details, high standards for quality.
                                                              • Desire to learn, grow yourself and your team.
                                                              • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                              • Writing and maintaining related documentation.
                                                              • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                              • Helps recruit + groom technology leaders and future leaders.

                                                              -

                                                              • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics

                                                              -


                                                               Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                               Work with data users to ensure datasets produced are meet their analytic needs
                                                               Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as adhoc analytic needs
                                                               Enable quick speed to market for new data needs for the Business Bank

                                                              -

                                                              • Manage hardware environment and analytical playground for the Business Bank

                                                              -


                                                               Manage hardware environment and software requirement for the database
                                                               Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-14T13:12:12.956Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/143593890-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d654f42b-afc3-46e7-a78f-e1aea6d3c6e0,146893157,Scotiabank,"Drive, Data & Analytics Rotational New Graduate Program",on_site,Canada : Ontario : Toronto,2022-08-29T20:19:10.866Z,"

                                                              -

                                                              • Bring cutting edge data solutions and next generation technology to Scotiabank

                                                              -


                                                               Keep abreast with latest database technology and data solutions
                                                               Actively bring new cutting edge solutions to Scotiabank

                                                              -

                                                              • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                              -


                                                              • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                              -


                                                              Educational Requirements:

                                                              -


                                                              • Bachelor’s degree in Computer Science or related field or relevant experience
                                                              • Master’s degree in Computer Science – preferred

                                                              -

                                                              Experience:

                                                              -


                                                              • 5+ years of data engineering and software experience in a Banking environment required
                                                              • Strong Communication skills for Internal stakeholder collaboration
                                                              • Experience with large data sets and working with Hadoop, NoSQL databases, and/or graph databases
                                                              • Experience with Python and/or Scala
                                                              • Hands-on development in a distributed data environment an asset
                                                              • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                                              • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                                              • Experience with Business Intelligence Tools: Power BI, Tableau
                                                              • Advanced Proficiency with Excel (charts/graphs)
                                                              • Previous banking experience is an asset

                                                              +

                                                              Requisition ID: 161299

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -

                                                              Skills:

                                                              -


                                                              • Excellent verbal and written communication skills are required
                                                              • Strong prioritizing and analytical skills
                                                              • High degree of knowledge of commercial products and profit drivers
                                                              • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. Works with various partners using influence and negotiation skills to ensure objectives are met.
                                                              • Strong technical skills in Math, Computer Science or related fields
                                                              • Excellent design and delivery capabilities

                                                              +

                                                              Drive, Data & Analytics Rotational New Graduate Program

                                                              +

                                                              +

                                                              Start Date: June 2023

                                                              +

                                                              Location: Toronto, Ontario

                                                              +

                                                              +

                                                              What can I expect from the Drive program?

                                                              +

                                                              +

                                                              The Drive program is a 24-month rotational program designed to provide recent grads passionate about technology with the opportunity to kick-start their career in Data & Analytics by learning the foundational elements of Scotiabank’s Customer Insights Data & Analytics (CID&A) business line. Across their time in program associates will rotate to three areas for 8 months each: Data, Analytics, and Technology. The specific team alignment will be based on business needs with a focus on providing you with insights and breadth of knowledge about this space.

                                                              +

                                                              +

                                                              Through the program you will learn about end-to-end processes from model development to tech implementation and deployment. You can expect mentoring from passionate leaders in the space of Data, Analytics and Technology to support you on your journey and help guide you as you develop technical skills and understanding, setting you up for success to be a future leader in CID&A. After successfully completing the program, our goal is for you to take your learnings into a permanent role where you will continue to innovate and support all business lines at the Bank to leverage data for decision making and innovation to better serve our customers.

                                                              +

                                                              +

                                                              Is this program right for me?

                                                              +

                                                              You are graduating by June 2023 or are a recent graduate who is curious and excited to learn about continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions and tinkering with new and old technologies, ensuring you understand the process end-to-end. You thrive in an ever-changing environment and want to be a part of something BIG. You love to learn and envision yourself working for an international organization that invests in your future.

                                                              +

                                                              +

                                                              You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself someone who can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You are not afraid to roll up your sleeves to get things done!

                                                              +

                                                              +

                                                              More specifically, you have some or all of the following:

                                                              +
                                                              • Strong technical skills with Python, Java, or Scala
                                                              • Solid knowledge of SQL
                                                              • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                                              • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                                              • +
                                                              +

                                                              +

                                                              How do I apply?

                                                              +

                                                              Please complete all three steps below:

                                                              +
                                                              1. Complete your PLUM Profile here and save as a screenshot.
                                                              2. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                              3. +Complete a coding test through Codility here prior to applying though our career site. You are only allowed one attempt and the assessment must be completed individually. +
                                                              4. +
                                                              +

                                                              +

                                                              Application Deadline: September 21, 2022 at 11:59PM EST

                                                              -

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,feed-importer@jobboard.io,,,,2022-05-16T15:26:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/123740749-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,expired,2022-05-03T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -009859c6-2618-4ffb-ae05-0609354b8ef7,124172050,TD Bank Group,"Forecasting & data analyst, Analytics & Modelling",on_site,"Toronto, ON",2022-05-05T21:04:02.145Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/146893157-drive-data-analytics-rotational-new-graduate-program-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,expired,2022-08-29T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +2c8a3be8-cf13-4787-81f0-4cf928096671,150794029,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-09-14T20:19:18.986Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 152650

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Purpose:

                                                              +


                                                              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                              +


                                                              As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                                              +


                                                              We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                                              +

                                                              +

                                                              Key Accountabilities:

                                                              +


                                                              • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                                              • Work closely with Data Office teams to design integration solutions for data products
                                                              • Provide consulting to business units on developing conceptual, logical and physical data models
                                                              • Provide consulting to business units on developing the data solutions.
                                                              • Participate in Architecture Governance forums and contribute to solution design libraries
                                                              • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                                              • Participate in evolution of data platform, analytical and data management tools and roadmap
                                                              • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                                              +

                                                              +

                                                              +

                                                              Functional Competencies:

                                                              +


                                                              • Strong Design and hands-on experience building data management solutions
                                                              • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                                              • Experience building data solution patterns/design for the enterprise
                                                              • Strong understanding of conceptual, logical and physical data models
                                                              • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                                              • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                                              • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                                              • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                                              • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                                              • Experience in data project implementation lifecycles
                                                              • Ability to understand and suggest solutions to data design on an enterprise level
                                                              • Strong communication skills, both written and spoken
                                                              • Attention to details, high standards for quality.
                                                              • Desire to learn, grow yourself and your team.
                                                              • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                              • Writing and maintaining related documentation.
                                                              • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                              • Helps recruit + groom technology leaders and future leaders.

                                                              +

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/150794029-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-09-14T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +5ca567f2-e04a-4f0d-9461-ffdf23f972b5,144414110,Magna International,Data Engineer,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-08-16T05:07:20.992Z,"
                                                              +
                                                              +

                                                              Role Summary

                                                              +

                                                              Magna International is looking for a strong and ambitious Data Engineer for our Analytics practice.
                                                              The Data Engineer role at Magna International will build and orchestrate synchronous and asynchronous data pipelines integrating heterogeneous business systems for both EAI and BI use cases.

                                                              +
                                                              +
                                                              +

                                                              Key Responsibilities

                                                              +
                                                              +

                                                              Builds ETL data pipelines using Talend tool portfolio and SQL code.
                                                              Models Database objects to fulfil data pipeline requirements
                                                              Designs following integrations:

                                                              +
                                                              • ETL jobs using incremental load patterns, using technologies like Change Data Capture (CDC) or Change Tracking
                                                              • Services for APIs using technologies such as REST to be consumed synchronously by client application
                                                              • Subscription based workflows triggering ETL actions based on events at source system
                                                              • Embedded mapping and casting of data from heterogenous source and target systems and formats
                                                              • +
                                                              +

                                                              Responsible for development, testing, documentation and performance of data pipelines, understanding and optimizing impact on source and target systems.
                                                              Works closely with:

                                                              +
                                                              • Business analysts, system owners to gain understanding of business processes and corporate data
                                                              • Business intelligence developers to ensure that integrations are correct and performing optimally.
                                                              • +
                                                              +

                                                              Contribute to architectural decisions to support business processes
                                                              Provide production support for data solutions

                                                              +
                                                              • Complete root cause analysis and contribute to remediation planning and implementation
                                                              • Perform data quality analysis, report data quality issues and propose solutions for data quality management
                                                              • +
                                                              +
                                                              +
                                                              +
                                                              +

                                                              Key Qualifications/Requirements

                                                              +
                                                              +

                                                              Bachelor’s in Information Technology or a related field (experience will be considered in lieu of education requirement)
                                                              3+ years of:

                                                              +
                                                              • ETL development experience with T-SQL, Talend or other graphical ETL tools (Datastage, SSIS, Informatica, Ab Initio, PowerCenter, IBM InfoSphere, Pentaho)
                                                              • SQL development, preferably in multiple database management platforms, and working with normalized relational databases and dimensional data warehouse implementation
                                                              • +
                                                              +

                                                              Ability to manage multiple projects simultaneously and deliver results in a timely manner. Ability to work independently, under pressure, and adaptable to change.
                                                              Manufacturing experience and SAP knowledge are a plus.
                                                              Familiarity with various relational and non-relational database management systems, in particular Microsoft classic and cloud ecosystem.
                                                              Architectural understanding of data hub oriented integrations as single point of orchestration.
                                                              Hands on knowledge in the design of data flows that facilitate data harvesting for automated genealogy documentation in a data catalog.
                                                              Able to work in various delivery methodologies (Agile – Scrum/SAFe, Waterfall, Kanban, etc.).
                                                              Ability to read, interpret, analyze, and communicate effectively verbally and in written form.
                                                              Familiarity with UML Sequence diagrams.
                                                              Knowledge of data integration patterns across various functions of the enterprise.
                                                              Experience with cloud-based solutions preferably on Microsoft stack.

                                                              +
                                                              • Azure Synapse
                                                              • Data Factory
                                                              • Data Lake
                                                              • +
                                                              +

                                                              Experience implementing and supporting scalable solutions, with a solid understanding of database locking escalation and other concurrency related mechanisms.
                                                              Understanding of when and how to use table partitioning and other data insertion, storage and distribution approaches.

                                                              +
                                                              +
                                                              +
                                                              +

                                                              Additional Information

                                                              +
                                                              +

                                                              Regular travel up to 25% of the time.

                                                              +

                                                              For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

                                                              +

                                                              We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                              +
                                                              +
                                                              +
                                                              +

                                                              Awareness. Unity. Empowerment.

                                                              +

                                                              At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                              +
                                                              +
                                                              ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-09-17T12:54:50.193Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/144414110-data-engineer-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/,expired,2022-08-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +2a83101a-98fe-441f-b39a-73683ae213a1,151714774,Magna International,"Senior Manager, Data & Analytics",on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-09-18T05:08:02.609Z,"
                                                              +
                                                              +

                                                              Role Summary

                                                              +
                                                              +

                                                              The Senior Manager, Data & Analytics is managing a globally distributed team of internal experts, contractors, consultants and vendors with the core mission to derive insights from data helping Magna to generate competitive advantages and improve the operational & financial performance. You will be working closely with various stakeholders across the organization to enable advanced analytics and business intelligence use cases by applying the right technology to transform data into real, tangible business value. The role is also responsible to address the growing demand for event driven integration across Magna’s heterogeneous application ecosystem.

                                                              +

                                                              +

                                                              To be successful in this role, you need to have experience leading delivery and ownership of enterprise application integration, data & analytics capabilities, and its underlying technology platforms. You will need to be comfortable engaging with numerous teams across the enterprise to align on priorities and roadmaps. You will also need to be comfortable with managing software engineering work and overseeing a large service and project portfolio.

                                                              -

                                                              -

                                                              Department Overview

                                                              -

                                                              TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.
                                                              In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.
                                                              At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                                                              -

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              The Acquisition, Marketing and Digital (“AMD”) team combines talent from BI analysts, data scientists, and actuaries to propose and develop solutions to support our partners’ strategies. AMD is responsible for the forecast, assessment and measurement of targeted initiatives by using, maintaining and developing various databases, tests, analyses and predictive models. Initiatives supporting our partners are designed to drive profitable growth, to have long-term potential and to be customer-focused.
                                                              In this role the analyst AMD will significantly contribute to the organization’s profitability by being involved in the following key activities:

                                                              -
                                                                -
                                                              • Forecast impact of marketing and acquisition activities on annual plan
                                                              • -
                                                              • Leverage large databases to create powerful measurement reports from projects and test and learn initiatives
                                                              • -
                                                              • Perform numerous analyses to support targeted profitable growth
                                                              • -
                                                              • Identify opportunities for simplification and automation in existing processes
                                                              • -
                                                              • Remain accountable for the success of acquisition, marketing and digital initiatives and drive results to achieve expected benefits and outcomes
                                                              • -
                                                              -

                                                              -

                                                              Requirements

                                                              -
                                                                -
                                                              • Bachelor’s or Master’s degree in BI, Statistics, Actuarial or related field;
                                                              • -
                                                              • Knowledge of an open source programming language
                                                              • -
                                                              • Has a strong database and data manipulation skills;
                                                              • -
                                                              • Effective written and oral communication skills in French and English;
                                                              • -
                                                              • Strong collaborator who engages colleagues, business partners and external stakeholders;
                                                              • -
                                                              • Superior interpersonal, communication and presentation skills with ability to present information or arguments in a convincing manner
                                                              • -
                                                              • Shows initiative and creativity in their work
                                                              • +
                                                                +

                                                                Key Responsibilities

                                                                +
                                                                • Lead development of analytic data products, including pilots and proof of concepts.
                                                                • Execute data strategies to support various consumption patterns and identify enterprise architecture, platforms, and data infrastructure needs.
                                                                • Drive strategy & approach for data hubs, lakes, warehouses & supporting integrations architecture in a heterogeneous environment; optimizing cloud costs, ensuring re-usability to support both integrations and analytics, while driving operational efficiency, governance & security.
                                                                • Lead the team in consulting with business partners to help establish efficient analytics and business intelligence tools, frameworks, and capabilities. Educate business leaders about self-service tools and provides support for teams as they stand up internal functions.
                                                                • Enable event-driven architecture for enterprise application integration, build and operate a robust & versatile integration layer.
                                                                • Strongly participate in Magna’s Data Literacy initiative; Drive a CoE / Community for Data, BI & Analytics in collaboration with various stakeholders in the different lines of business.
                                                                • Grow and develop a full stack team responsible for delivery & support of data solution, drive strategic workforce planning to minimize reliance on third-party vendors/consultants, while increasing internal capabilities and creating robust career pathway opportunities.
                                                                • Budget management including people, software, and services.
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                35
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/124172050-forecasting-data-analyst-analytics-modelling-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -592e5c0d-6dcd-457e-96a7-8b1c5c2da4a9,124172055,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-05-05T21:04:03.997Z,"
                                                                +
                                                                +
                                                                +

                                                                Education, Knowledge and Work Experience

                                                                +
                                                                • Bachelor and/or Master in Information Technology OR technical related field OR equivalent working experience.
                                                                • 7+ years of experience in delivery & support of data solutions / technology, and 5+ years as a people leader overseeing a broad range of talent across multiple work locations.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Key Qualifications/Requirements

                                                                +
                                                                • Proven track record in building & sustaining high performing team capable of driving technical modernization efforts in parallel to delivering on business commitments.
                                                                • Strong track record of managing external vendors and service providers, including cloud cost optimization & ongoing active management.
                                                                • Experience in managing complex delivery initiatives in highly dynamic, global organization.
                                                                • Ability to thrive in a fast-paced environment across multiple time zones and locations.
                                                                • Ability to drive through directly and through influence, with agility and leadership skills which engineers recognize and respect.
                                                                • Experience designing, building & operating large Cloud-ready, scalable data solutions.
                                                                • Strong knowledge of integration design patterns and experience in working on large scale integration projects, strong understanding of Data Mesh and Data Fabrics concepts.
                                                                • Previous experience establishing data governance & security / access model in partnership with key business partners considered a strong asset.
                                                                • Hands-on experience with data & analytics technology & integration platforms.
                                                                • Excellent English language skills (written and oral).
                                                                • Solid German language skills (written and oral) is of advantage.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                Regular travel up to 25% of the time.

                                                                +

                                                                +

                                                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Awareness. Unity. Empowerment.

                                                                +

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                +
                                                                +
                                                              ",,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/151714774-senior-manager-data-analytics-at-magna-international,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/,expired,2022-09-18T05:08:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,PhD,New Posting, +173e96e0-f13f-48dd-806f-fb45ed238ead,152575721,BenchSci,Director of Data Engineering,on_site,"Toronto, Ontario /",2022-09-22T05:09:22.630Z,"
                                                              +
                                                              BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                              +

                                                              +
                                                              BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                              +
                                                              Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                              +

                                                              +

                                                              +
                                                              We are looking for a seasoned Director of Data Engineering, who lives and breathes tackling data challenges to join our growing team. This is a challenging, impactful, and highly collaborative position. Reporting to the Sr. Director of Data Engineering, Machine learning, and Bioinformatics, you will be responsible for spearheading our Data ingestion and modeling initiatives, working across a wide variety of biomedical data, and helping the team to extract scientific insights.
                                                              +
                                                              You will help the teams to translate the platform vision and define the direction to build, validate, productionize, and maintain BenchSci’s Data Pipeline. You will play a highly collaborative role to bring together the various projects data is involved in, including working BenchSci’s Machine Learning teams, Bioinformatics team, R&D team, and our teams of scientists.
                                                              +
                                                              +
                                                              +

                                                              You will:

                                                              +
                                                                  +
                                                                • Develop strategy and contribute to the roadmap for our Data teams that ladder up to the wider company strategy
                                                                • +
                                                                • Collaborate with Product, Machine Learning, Project, and Software teams to establish actionable strategies related to the implementation of our data capture, ingestion, and modeling for delivery in a knowledge graph
                                                                • +
                                                                • Partner with key stakeholders across the Platform Stream including the Chief Science Officer, Chief Data Officer, and other representatives from science, bioinformatics, data engineering, as well as product management to plan, prioritize, and execute on updating and launching data initiatives in a cycle of rapid MVP testing followed by productionization following successful assessment
                                                                • +
                                                                • Lead & Grow the Data Engineering team: Grow BenchSci’s Data Engineering team, set priorities, timelines, and performance metrics as the organization scales and the number of engineers and engineering managers continues to grow
                                                                • +
                                                                • Provide Technical Leadership: be able to speak the language of engineering, have the ability to dive into a problem, and help the Engineering managers reach decisions with the data available
                                                                • +
                                                                • People first leadership: you will be directly responsible for the leadership of your engineering managers and will help them to grow and be successful in their role of managing the data teams. You will have an ability to empathize, lead with a people-first mindset, and be genuinely committed to providing thoughtful and intentional mentorship
                                                                • +
                                                                • Continuous monitoring and improvement of data pipeline performance
                                                                • +
                                                              +
                                                              +
                                                              +

                                                              You have:

                                                              +
                                                                  +
                                                                • A proven track record of 5+ years in leading engineering teams to deliver exceptional user and business value
                                                                • +
                                                                • Demonstrated ability in developing, deploying, and maintaining data-focused projects and products
                                                                • +
                                                                • Exceptional written and verbal communication skills
                                                                • +
                                                                • Degree in Software Engineering, Computer Science, or equivalent
                                                                • +
                                                              +
                                                              +
                                                              +
                                                              Benefits and Perks:
                                                              +
                                                              An engaging remote-first culture
                                                              +
                                                              A competitive compensation package that includes BenchSci equity options
                                                              +
                                                              Comprehensive health and dental benefits
                                                              +
                                                              Emphasis on mental health with $2500 CAD (or equivalent in your country’s currency) for Psychologist, Social Worker, or Psychotherapist services
                                                              +
                                                              Three weeks of vacation plus an additional day for every completed year
                                                              +
                                                              Unlimited flex time to use toward sick days, personal days, religious holidays, birthdays and appointments
                                                              +
                                                              Additional time-off: 2 weeks for Winter Holidays, every other Friday in July and August, your birthday, and more!
                                                              +
                                                              Generous parental leave benefits with a top-up plan or paid time off options
                                                              +
                                                              A $2000 CAD (or equivalent in your country’s currency) Annual Learning & Development budget
                                                              +
                                                              A $1000 CAD (or equivalent in your country’s currency) work from home allowance to make your home setup perfect for you
                                                              +
                                                              A lifestyle spending account for employees to receive reimbursement for eligible expenses related to wellness, lifestyle and productivity $2500 CAD (or equivalent in your country’s currency) per year
                                                              +

                                                              +
                                                              Our Culture:
                                                              +
                                                              At BenchSci, we’re committed to cultivating an inspiring, inclusive, and equitable work environment for high performing, ego-free, self-starting individuals with a growth mindset, who enjoy the challenge of solving hard problems. We recognize that everyone here is a person first and an employee second. We want people to feel cared for and supported to bring the best versions of themselves to work and help the company achieve its mission. We believe culture is critical to success and invest accordingly.
                                                              +
                                                              We live and promote our FASTT values of Focused, Advancement with Speed, Tenacity, and Transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                              +

                                                              +
                                                              Diversity, Equity and Inclusion:
                                                              +
                                                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                              +

                                                              +
                                                              Accessibility Accommodations:
                                                              +
                                                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                              +

                                                              +
                                                              BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/152575721-director-of-data-engineering-at-benchsci,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc,expired,2022-09-22T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Director,PhD,New Posting, +332d3a66-5306-4a41-95ca-e75e59bacd22,147857731,Deloitte,"Data Engineer - GCP, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-09-02T02:46:25.332Z,"
                                                              +

                                                              Job Type: Permanent
                                                              Primary Location: Multiple Locations, Ontario, Canada
                                                              All Available Locations: Vancouver, BC; Montreal, QC; Ottawa, ON; Toronto, ON

                                                              +

                                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                                              Partner with clients to solve their most complex problems
                                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                                              +
                                                              +
                                                              +
                                                              +

                                                              +

                                                              You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                                              +
                                                              +
                                                              +

                                                              What will your typical day look like?

                                                              +
                                                              +

                                                              +

                                                              As a Data Engineer on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy and have a solid understanding of software development.
                                                              Specifically, in this role, you will:

                                                              +

                                                              • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                                              • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                                              • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                                              • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                                              +
                                                              +
                                                              +
                                                              +

                                                              About the team

                                                              +
                                                              +

                                                              +

                                                              Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                                                              +


                                                              Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                                              +
                                                              +
                                                              +
                                                              +

                                                              Enough about us, let’s talk about you

                                                              +
                                                              +

                                                              You are someone with:
                                                              • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                                              • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                                              • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Google Cloud Platform (GCP) using Dataflow or Spark.
                                                              • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
                                                              • Experience with streaming data using Dataflow, Spark, Flink, Kafka Streams, etc
                                                              • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                                              +

                                                              If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                              +

                                                              The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                              +
                                                              +
                                                              +
                                                              +

                                                              Why Deloitte?

                                                              +

                                                              Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                              +
                                                              • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                              • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                              • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                              • +
                                                              +


                                                              The next step is yours

                                                              +

                                                              Sound like The One Firm. For You?

                                                              +

                                                              At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                              +

                                                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                              ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-10-06T13:04:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/147857731-data-engineer-gcp-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,expired,2022-09-02T02:46:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +e2105d93-097a-4484-a48e-05725a390ffe,148781280,EY,Data Scientist - Financial Crimes - Bilingual,on_site,Toronto,2022-09-06T04:44:02.372Z,"

                                                              Data Scientist - Financial Crimes - Bilingual

                                                              Location: Toronto
                                                              Other locations: Anywhere in Country
                                                              Date: 30-Sep-2022

                                                              At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                              +

                                                              +

                                                              We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

                                                              +

                                                              +

                                                              At EY, Data Scientist strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients’ biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

                                                              +

                                                              +

                                                              The opportunity

                                                              +

                                                              +

                                                              Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data and model predictive models. This provides better support for decision-making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

                                                              +

                                                              +

                                                              The Financial Crime group provides innovative approaches that enable effective, documented and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

                                                              +

                                                              The Financial Crime group offers expertise and services across four core areas of competency:

                                                              +
                                                              • Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modeling, master data management, and data rationalisation and migration.
                                                              • Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle.
                                                              • Reporting design, architecture and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design and implementation.
                                                              • +Analytics: covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
                                                              • +
                                                              +

                                                              Your responsibilities

                                                              +

                                                              +

                                                              As a Senior consultant in Data Science, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

                                                              +

                                                              Specifically, these responsibilities will be assigned to you:

                                                              +
                                                              • Analyze, manipulate, structure, validate and transform various data sources
                                                              • Produce and document analyses of various data sources
                                                              • Act as a consultant for the implementation of specialized internal data processing solutions
                                                              • Act as a consultant for the configuration of various anti-money laundering and financial crime software
                                                              • Develop filter optimization algorithms to enforce international sanctions
                                                              • +Participate in client engagements and various internal projects
                                                              • +
                                                              +

                                                              Skills & attributes for success

                                                              +
                                                              • Ability to communicate ideas clearly (spoken and written)
                                                              • Ability to provide excellent client service and manage and build strong relationships both internally and externally
                                                              • Ability to be self-sufficient within large companies (financial institutions, specifically)
                                                              • Be versatile, rigorous and curious
                                                              • Enjoy teamwork
                                                              • +Have 5-10 years’ experience in data science role
                                                              • +
                                                              +

                                                              To qualify for the role you must have:

                                                              +
                                                              • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering or a related field and approximately 3-5 years’ experience in related field. A Master’s degree is an asset.
                                                              • Strong Machine Learning, Deep Learning, and statistics background.
                                                              • Experience with large data sets using tools like SQL, Hadoop, Spark
                                                              • Advanced Programming skills in R or Python, and experience using an object-orientated programming language, such as Java, or Scala (preferred).
                                                              • Experience with model-development lifecycle, data preparation, modeling, and deployment
                                                              • Data processing such as ETL (and ideally some exposure to tools such as Ab Initio, Informatica, etc.), parsing and handling data quality-related issues
                                                              • Demonstrated strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software, and networks
                                                              • Knowledge of French and English (bilingual)
                                                              • +
                                                              +

                                                              +

                                                              Ideally, you’ll also have:

                                                              +
                                                              • Consulting experience
                                                              • Experience in other leading ETL packages (e.g. Informatica, DataStage)
                                                              • Experience with cloud technologies (Microsoft Azure, Databricks, AWS, GCP)
                                                              • Experience in Anti-money laundering/terrorist financing activities
                                                              • Experience in Fraud
                                                              • Experience in Risk Management
                                                              • Experience in Business Intelligence
                                                              • Experience in Solution Architecture
                                                              • Experience in Cyber Security
                                                              • +Experience in Business analysis/systems
                                                              • +
                                                              +

                                                              What we look for

                                                              +


                                                              We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                                                              +

                                                              +

                                                              What we offer

                                                              We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                              +
                                                              • The opportunity to manage a portfolio of talent within a designated service line
                                                              • A collaborative environment where everyone works together to create a better working world
                                                              • Excellent training and development prospects, both through established programs and on-the-job training
                                                              • +An excellent team of senior colleagues, dedicated to managing and varying your workload
                                                              • +
                                                              +

                                                              Diversity and Inclusion at EY

                                                              +

                                                              +

                                                              Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                              +

                                                              +

                                                              EY | Building a better working world

                                                              +

                                                              +

                                                              EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

                                                              +

                                                              +

                                                              Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

                                                              +

                                                              +

                                                              Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                              ",,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,feed-importer@jobboard.io,,,,2022-10-06T13:17:53.981Z,False,0,12,62,https://talenthub.vectorinstitute.ai/jobs/148781280-data-scientist-financial-crimes-bilingual-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,expired,2022-09-06T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, +5e66d5e0-a2fd-4b0b-a8ad-db754d669a23,148752080,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-09-06T01:51:18.682Z,"

                                                              Company Overview

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              @@ -39357,789 +38798,547 @@ d0ba544f-4db5-42a1-b798-4143f2bfdd0e,120460796,FreshBooks,Data/AI Evangelist (Ca

                                                              Department Overview

                                                              -
                                                              -

                                                              The Marketing Technologies & Analytics (MT&A) function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                              -

                                                              The MT&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                              -
                                                              +

                                                              Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                              Job Description

                                                              -

                                                              The successful candidate will act as a SME within the Marketing Campaign Delivery group to support the Visa Debit portfolio and personalization. Your success will be predicated on your ability to understand business objectives and challenges, forge strong partnerships, communicate effectively, design and execute best-in-class targeted programs, and continuously strive for increased efficiency.

                                                              -

                                                              Responsibilities

                                                              +

                                                              About this Role

                                                              +

                                                              Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                                              +

                                                              As a Data Steward II, you will:

                                                                -
                                                              • Support the end-to-end delivery of targeted campaigns on Visa Debit portfolio
                                                              • -
                                                              • Provide thought leadership in the rollout personalization in EDB portfolio, providing insights for best practices to effectively scale and adopt the new capability across the EDB analytics team
                                                              • -
                                                              • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                              • -
                                                              • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                              • -
                                                              • Ensure required quality control checks are in place – always adhere to QC processes as new programs are created
                                                              • -
                                                              • Manage project pipeline to ensure agreed upon timelines are met
                                                              • -
                                                              • Liaise with other functions within MT&A (modeling, data governance, data engineering etc.) ensuring all dependencies are in place to meet campaign requirements
                                                              • -
                                                              • Execute with excellence, and disseminate key learnings to the rest of team to raise the execution level
                                                              • -
                                                              • Act as a leader on the team; provide advisory support and feedback to Sr Managers and Executives
                                                              • +
                                                              • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                                              • +
                                                              • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                                              • +
                                                              • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                                              • +
                                                              • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                                              • +
                                                              • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                                              • +
                                                              • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                                              • +
                                                              • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                                              • +
                                                              • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                                              • +
                                                              • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                                              • +
                                                              • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB

                                                              Requirements

                                                              +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                              • Hands on experience with strategy, design, execution, quality control, and measurement of 1:1 targeted campaigns
                                                              • -
                                                              • Working knowledge of direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                              • -
                                                              -
                                                                -
                                                              • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS
                                                              • -
                                                              • Technical and detail oriented
                                                              • -
                                                              • A project management mindset to help deliver on time to specifications
                                                              • -
                                                              • Pragmatic decision maker blending a mix of intellect and hands on experience
                                                              • -
                                                              • Business results driven mindset
                                                              • -
                                                              • Comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
                                                              • -
                                                              -

                                                              Qualifications

                                                              -
                                                                -
                                                              • 7+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high-volume direct marketing industries)
                                                              • -
                                                              • Significant experience with HCL/IBM Unica Suite – Unica Interact & Campaign
                                                              • -
                                                              • Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements
                                                              • -
                                                              • Experience designing and executing campaigns, and improving successful direct marketing experiments (i.e. acquisition, customer management, loyalty, engagement)
                                                              • -
                                                              • Track record of delivering successful initiatives on time and on budget
                                                              • -
                                                              • Understanding of Privacy regulations relating to customer contact preferences (CASL, DNC, DNS etc.)
                                                              • -
                                                              • Familiarity with OMLC an asset
                                                              • -
                                                              • Degree in business, marketing, science, statistics, engineering, or other quantitative discipline
                                                              • +
                                                              • Undergraduate degree or technical certificate
                                                              • +
                                                              • Seven (7) or more years relevant experience
                                                              • +
                                                              • Skill in using software tools, applications, data analysis methods
                                                              • +
                                                              • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions

                                                              -

                                                              Additional Information

                                                              -
                                                              #LI-Hybrid
                                                              -

                                                              Hours

                                                              37.5

                                                              Inclusiveness

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/124172055-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c45b284d-8ffc-4429-bd68-aafb725be038,125122640,Borealis AI,Machine Learning Software Engineer - Montreal,on_site,"Ontario, Canada",2022-05-12T21:46:02.179Z,"

                                                              What\'s the opportunity?

                                                              -
                                                              -

                                                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                              -

                                                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                              -

                                                              Your responsibilities include:

                                                              -
                                                                -
                                                              • Building machine learning-based software solutions for solving important problems;
                                                              • -
                                                              • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                              • -
                                                              • Collaborating with research and business teams to converge on the best solutions;
                                                              • -
                                                              • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                              • -
                                                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                              • -
                                                              • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                              • -
                                                              • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                              • -
                                                              -

                                                              You\'re our ideal candidate if you:

                                                              -
                                                                -
                                                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                              • -
                                                              • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                              • -
                                                              • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                              • -
                                                              • Familiarity with the Unix command line and bash scripting;
                                                              • -
                                                              • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                              • -
                                                              • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                              • -
                                                              • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                              • -
                                                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                              • -
                                                              -
                                                              -

                                                              What\'s in it for you?

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-06T13:20:46.389Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/148752080-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-09-06T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +65f201c1-d179-455c-b83c-52d95248bfcf,153906931,Shopify Inc.,"Lead (Staff) Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-09-29T07:35:02.737Z,"

                                                              About the role

                                                              Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

                                                                -
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • -
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • -
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              ",,https://www.borealisai.com/en/careers/employment/6114236002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122640-machine-learning-software-engineer-montreal-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -94eac357-bb5f-4a97-9c1d-133139d6af75,125122641,Borealis AI,Machine Learning Software Engineer - Toronto,on_site,"Ontario, Canada",2022-05-12T21:46:02.244Z,"

                                                              What\'s the opportunity?

                                                              -
                                                              -

                                                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                              -

                                                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                              -

                                                              Your responsibilities include:

                                                              +
                                                            • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.

                                                            • +
                                                            • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?

                                                            • +
                                                            • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.

                                                            • +
                                                            • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.

                                                            • +
                                                              ",,https://www.shopify.ca/careers/lead-staff-data-engineer-remote-canada_9356598e-1a12-4c7f-8133-f611f0c83cb5,feed-importer@jobboard.io,,,,2022-10-06T07:40:19.773Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/153906931-lead-staff-data-engineer-remote-canada-at-shopify-inc,,expired,2022-09-29T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Masters Degree,New Posting, +bf9e5175-29a9-44dc-9823-fcabac13a9c2,152492042,Magna International,Data Engineer,on_site,"Ontario, Canada",2022-09-21T20:50:52.775Z,"

                                                              Group Description

                                                              +

                                                              At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                                              +

                                                              We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                                              +

                                                              +

                                                              Role Summary

                                                              +

                                                              The Data Engineer is a vital member of the data analytics team, responsible for implementing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization. The Data engineer will work closely with internal stakeholders and business analysts to provide support and expertise in data management, BI / Reporting and underlying data delivery architecture. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up while being able to deal with a fragmented data landscape.

                                                              +

                                                              Key Responsibilities

                                                                -
                                                              • Building machine learning-based software solutions for solving important problems;
                                                              • -
                                                              • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                              • -
                                                              • Collaborating with research and business teams to converge on the best solutions;
                                                              • -
                                                              • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                              • -
                                                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                              • -
                                                              • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                              • -
                                                              • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                              • +
                                                              • Build the infrastructure required for extraction, transformation and loading of data from a wide variety of data sources
                                                              • +
                                                              • Build analytics solutions that utilize the data pipelines to provide actionable insights for various stakeholders across Magna
                                                              • +
                                                              • Design and implement complex business intelligence and analytic solutions based on functional requirements
                                                              • +
                                                              • Identify ways to improve data reliability, efficiency and quality
                                                              • +
                                                              • Prepare data for predictive & prescriptive modeling and support the implementation & deployment machine earning use cases
                                                              -

                                                              You\'re our ideal candidate if you:

                                                              +

                                                              Education, Knowledge and Work Experience

                                                                -
                                                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                              • -
                                                              • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                              • -
                                                              • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                              • -
                                                              • Familiarity with the Unix command line and bash scripting;
                                                              • -
                                                              • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                              • -
                                                              • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                              • -
                                                              • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                              • -
                                                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                              • +
                                                              • Completion of University Degree or equivalent work experience
                                                              • +
                                                              • 3-5 years of work-related experience
                                                              -
                                                              -

                                                              What\'s in it for you?

                                                              +

                                                              Key Qualifications/Requirements

                                                                -
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • -
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • +
                                                              • Proficiency in ETL concepts and its implementation (Talend, SSIS preferred)
                                                              • +
                                                              • Strong SQL and programming & scripting skills
                                                              • +
                                                              • Experience in developing reporting or dashboard solutions with BI tools (Microsoft stack preferred)
                                                              • +
                                                              • Experience with Data Architectures on Azure & AWS
                                                              • +
                                                              • Background in Data science, Data mining, Computer vision, Machine learning
                                                              • +
                                                              • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                                              • +
                                                              • Ability to be a strong team member and communicate effectively
                                                              • +
                                                              • Capability to prioritize and multi-task, and reasonably estimate work effort for tasks
                                                              • +
                                                              • Excellent English in spoken and written
                                                              -

                                                              About Borealis AI

                                                              -

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              ",,https://www.borealisai.com/en/careers/employment/6114159002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122641-machine-learning-software-engineer-toronto-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -c056d642-3079-43c1-a89f-bc6f24706fb2,124609901,TD Bank Group,"Data Practice Lead, TD Insurance",on_site,"Toronto, ON",2022-05-09T21:05:51.464Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              +

                                                              Additional Information

                                                              +

                                                              Regular travel up to 15% of the time.

                                                              -

                                                              Department Overview

                                                              -
                                                              -

                                                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our platforms, introducing key enterprise practices and re-imagining our customer journeys as part of the Next Evolution of Work (NEW).

                                                              -

                                                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                              -
                                                              +

                                                              For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                              +

                                                              Awareness. Unity. Empowerment.

                                                              +

                                                              At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                              ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562249817/,aitalent@vectorinsitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-10-11T16:51:00.000Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/152492042-data-engineer-at-magna-international,,expired,2022-09-21T20:50:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +109b6104-906d-4f17-bc01-4b52e41b4c31,155322786,NVIDIA,"Senior Manager, Autonomous Machine Business Group",on_site,"Ontario, Canada",2022-10-06T07:35:19.410Z,"
                                                              +

                                                              For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With an unusual focus on this field, we offer niche platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team. NVIDIA\'s World Wide Field Operation Group is looking for a Senior Manager in Tokyo, Japan for supporting Embedded markets.

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together ~1,000 data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                              -

                                                              The Data Practice brings together data management professionals from across businesses and provides them with standards, training, and professional development. As a Practice Lead, you will be responsible for coaching the team of practitioners on knowledge, skills and performance, building and evolving the practice’s capabilities, and advising practitioners on their work to ensure solutions are sound. You will report to the AVP, Data Practice Area Lead, and will work as part of a larger team supporting different business pillar and delivery streams.

                                                              -

                                                              The successful candidate will demonstrate the following key objectives:

                                                              +

                                                              What you\'ll be doing:

                                                                -
                                                              • Identify and execute on the opportunities to accelerate data delivery and reach the next level of capability.
                                                              • -
                                                              • Build, maintain and evolve the culture and community of data practitioners.
                                                              • -
                                                              • Lead a team of highly skilled data practitioners without getting involved in day-to-day activities.
                                                              • -
                                                              • Provide team leadership, training, coaching, development, succession, recruitment and resource management, and ensures on-going performance feedback and assessments occur and development plans exist for each team member.
                                                              • -
                                                              • Hire the best talent, grow colleagues and manage retention.
                                                              • -
                                                              • Act as an expert or lead innovator and culture change agent for the practice amongst Business, Journey, and Platform leaders.
                                                              • +
                                                              • Enthusiastically grow Automotive, Factory Automation, Robotics, Smart-city (AI video surveillance) businesses with our embedded (Jetson) and data center products

                                                              • +
                                                              • Balance distributor, channel and Partners

                                                              • +
                                                              • Matchmaking and bridge global end customers with embedded and enterprise system partners

                                                              • +
                                                              • Develop outstanding strategic relationships with customers\' R&D and procurement teams in order to understand customers\' system architecture, existing solutions, development plans and competition

                                                              • +
                                                              • Develop new opportunity pipelines and drive design wins

                                                              • +
                                                              • Understanding and guide delivery of NVIDIA value proposition, key features, product messages, positioning

                                                              • +
                                                              • Engage appropriate NVIDIA resources as part of a virtual sales team

                                                              • +
                                                              • Provide market and partners feedback to product teams to drive strategic alignment

                                                              • +
                                                              • Provide projects pipeline, forecast and accounts update periodically

                                                              -
                                                              -

                                                              -

                                                              Requirements

                                                              -
                                                              -

                                                              Job Requirement:

                                                              +

                                                              What we need to see:

                                                                -
                                                              • Undergraduate or postgraduate degree preferred.

                                                              • -
                                                              • 7 years of data experience and experience coaching in distributed Data delivery environments.

                                                              • -
                                                              • Bilingual in English and French is an asset.

                                                              • +
                                                              • 10+ years Embedded Product and Sales experience and experience managing a team

                                                              • +
                                                              • Successful experience with Japanese industrial companies

                                                              • +
                                                              • Executive-level sales knowledge and experience

                                                              • +
                                                              • Excellent both English and Japanese / communication / presentation skills

                                                              • +
                                                              • Good organization ability / proactive

                                                              • +
                                                              • Data Center business experience is a plus

                                                              • +
                                                              • Distributor and channel management experience is helpful

                                                              • +
                                                              • Familiar with AI DL, Embedded Linux and Android environments is a plus

                                                              • +
                                                              • Education: BS EE, Computer science is plus

                                                              • +
                                                              • Strong customer relationship skills

                                                              • +
                                                              • Ambitious, inventive, market savvy, creative thinking

                                                              -
                                                              -

                                                              -

                                                              Additional Information

                                                              -
                                                              Bilingual in English and French is an asset.
                                                              -

                                                              -

                                                              Hours

                                                              -
                                                              35
                                                              -

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T21:11:08.205Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/124609901-data-practice-lead-td-insurance-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,expired,2022-05-09T21:05:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -e91f032b-84e7-4465-be6d-b9204ec0cb36,128290468,RBC,"Fall 2022 Student Opportunities, Data Analyst, Technology & Operations",on_site,"Toronto, ON, Canada",2022-05-30T12:53:05.350Z,"
                                                              -

                                                              Come Work with Us!

                                                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                              -

                                                              Job Title

                                                              Fall 2022 Student Opportunities, Data Analyst, Technology & Operations

                                                              -

                                                              -

                                                              Job Description

                                                              -

                                                              What is the opportunity?
                                                              Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                                              -
                                                                -
                                                              • Innovation & Technology
                                                              • -
                                                              • Global Technology Infrastructure
                                                              • -
                                                              • Enterprise Operations Payments
                                                              • -
                                                              -

                                                              -

                                                              What will you do?

                                                              -
                                                                -
                                                              • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                                              • -
                                                              • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                                              • -
                                                              • Confirm that projects adhere to development standards and guidelines
                                                              • -
                                                              • Apply data warehouse concepts and methodologies to various projects
                                                              • -
                                                              -

                                                              -

                                                              What do you need to succeed?

                                                              -

                                                              Must-have

                                                              +

                                                              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you\'re creative and autonomous, we want to hear from you!

                                                              +

                                                              We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                              +

                                                              +

                                                              +

                                                              +

                                                              +
                                                              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Senior-Manager--Autonomous-Machine-Business-Group_JR1951448,feed-importer@jobboard.io,,,,2022-10-13T17:33:26.901Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/155322786-senior-manager-autonomous-machine-business-group-at-nvidia,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +cf67c72f-8874-4f25-851c-f8640f1d9127,153868796,League,Data Analyst - Remote,full,US / Canada - Remote,2022-09-29T05:09:05.666Z,"
                                                              +
                                                              Help Us Shape the Future of Healthcare
                                                              +
                                                              +
                                                              At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                              +

                                                              As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                              +

                                                              People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                              +

                                                              Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                              +


                                                              In this role, you will:

                                                                -
                                                              • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                              • -
                                                              • Leadership acumen and a passion to apply it in a dynamic business environment
                                                              • -
                                                              • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                              • -
                                                              • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                              • -
                                                              • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                              • -
                                                              • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                              • +
                                                              • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                              • +
                                                              • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                              • +
                                                              • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                              • +
                                                              • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                              • +
                                                              • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                              -

                                                              -

                                                              Nice-to-have

                                                              +


                                                              Attributes

                                                                -
                                                              • Prior experience in data integration of disparate data sources
                                                              • -
                                                              • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                              • -
                                                              • Relational database concepts and design experience
                                                              • -
                                                              • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                                                              • +
                                                              • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                              • +
                                                              • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                              • +
                                                              • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                              • +
                                                              • You drive to learn and master new technologies and techniques.
                                                              • +
                                                              • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                              • +
                                                              • You are eager to learn from others and help others grow with you.
                                                              -

                                                              -

                                                              What’s in it for you?

                                                              -

                                                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                              +



                                                              Desired Outcome

                                                                -
                                                              • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                              • -
                                                              • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                              • -
                                                              • Leaders who support your development through coaching and learning opportunities
                                                              • -
                                                              • Work in a dynamic, collaborative, progressive and highly performing team
                                                              • -
                                                              • Ability to make a difference and lasting impact
                                                              • -
                                                              • Enjoy a comfortable work environment with the option to dress casually
                                                              • -
                                                              -

                                                              -

                                                              We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is June 5th, 2022. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                              -

                                                              While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                              -


                                                              RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Job Summary

                                                              -

                                                              -

                                                              Address:

                                                              TORONTO, Ontario, Canada

                                                              City:

                                                              CAN-ON-TORONTO

                                                              Country:

                                                              Canada

                                                              Work hours/week:

                                                              37.5

                                                              Employment Type:

                                                              -

                                                              Platform:

                                                              -

                                                              Job Type:

                                                              Student/Coop (Fixed Term)

                                                              Pay Type:

                                                              Salaried

                                                              Posted Date:

                                                              2022-05-12-07:00

                                                              Application Deadline:

                                                              2022-06-05-07:00

                                                              -
                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              -

                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                              ​​​​​​​
                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                              -
                                                              -
                                                              -

                                                              -

                                                              Join our Talent Community

                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                              -
                                                              -
                                                              ",,https://jobs.rbc.com/ca/en/job/R-0000011519/Fall-2022-Student-Opportunities-Data-Analyst-Technology-Operations,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-06T12:58:05.200Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/128290468-fall-2022-student-opportunities-data-analyst-technology-operations-at-rbc,,expired,2022-05-30T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -de8cac28-669f-4157-8b3a-579e0d8daeae,124172068,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-05-05T21:04:07.773Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                              -

                                                              Why TD?

                                                              -

                                                              TD’s Colleague Promise: A better you. A better us.

                                                              -

                                                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                              -
                                                              -

                                                              -

                                                              Department Overview

                                                              -
                                                              -

                                                              Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                              -

                                                              Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                              -
                                                                -
                                                              • Leadership talks with key Leaders from across the organization
                                                              • -
                                                              • Lunch and Learns on topics such as Innovation
                                                              • -
                                                              • Diversity and Inclusion and Personal Branding and so much more
                                                              • -
                                                              -
                                                              -

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the following:

                                                              -
                                                                -
                                                              • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                              • -
                                                              • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                              • -
                                                              • Design, develop and deploy system enhancements
                                                              • -
                                                              • Perform Unit and System Integration tests
                                                              • -
                                                              • Document system deployment plans for system implementation and code deployment
                                                              • -
                                                              • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                              • -
                                                              • Provide recommendations with full usability analysis
                                                              • -
                                                              • Perform root-cause analysis and resolution of application defects
                                                              • -
                                                              • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                              • -
                                                              • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                              • -
                                                              -
                                                              -

                                                              -

                                                              Requirements

                                                              -
                                                                -
                                                              • Currently enrolled in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                              • -
                                                              • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                              • -
                                                              • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                              • -
                                                              • Test Data Tools Knowledge (CA TDM or Delphix)
                                                              • -
                                                              • Familiarity with source code management such as GIT
                                                              • -
                                                              • Familiarity with Jira and Confluence
                                                              • -
                                                              • A thirst for constantly exploring emerging technology
                                                              • -
                                                              • -Skills that would be an asset, but not required
                                                                  -
                                                                • Familiarity with RDBMS, Big data
                                                                • -
                                                                • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                • -
                                                                • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                • -
                                                                • Interest or aptitude in Financial Systems and the Financial Industry
                                                                • -
                                                                • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                • -
                                                                -
                                                              • -
                                                              -

                                                              -

                                                              Additional Information

                                                              -
                                                              -

                                                              Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                              -
                                                                -
                                                              • This position is a 4-month work term and will commence September 6th – December 23rd, 2022
                                                              • -
                                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                              • -
                                                              • We welcome all applications; however, we will be targeting 3rd and 4th year students for this role. We will only contact qualified candidates chosen for an interview. Thank you for your interest
                                                              • -
                                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                              • -
                                                              -

                                                              #P&TEarlyTalent​​​​​​​
                                                              Assigned Line of Business Requirements
                                                              Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                              -
                                                              -

                                                              -

                                                              Hours

                                                              -
                                                              37.5
                                                              -

                                                              -

                                                              Start Date

                                                              -
                                                              – Fall
                                                              -

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,9,24,https://talenthub.vectorinstitute.ai/jobs/124172068-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -c37314d5-ce65-4af2-a4ee-66d9dbbdda4f,127914623,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-05-28T21:06:16.783Z,"
                                                              +
                                                            • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                            • +
                                                            • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                            • + +


                                                              Required Education/Experience/Certificates

                                                              +
                                                                +
                                                              • Strong SQL skills and experience working with a modern ETL framework
                                                              • +
                                                              • Experience working as a data analyst or data scientist
                                                              • +
                                                              • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                              • +
                                                              +



                                                              Nice To Have Experience

                                                              +
                                                                +
                                                              • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                              • +
                                                              • Healthcare industry experience
                                                              • +
                                                              +
                                                              +At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                              +
                                                              +
                                                              Our Application Process:
                                                              +
                                                              +
                                                              Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                              +
                                                                +
                                                              • You should receive a confirmation email after submitting your application.
                                                              • +
                                                              • A recruiter (not a computer) reviews all applications at League.
                                                              • +
                                                              • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                              • +
                                                              • The final step is an offer, which we hope you will accept!
                                                              • +
                                                              • +Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring. +
                                                              • +
                                                              +
                                                              +
                                                              Here are some additional resources to learn more about League:
                                                              + + + + +
                                                              +

                                                              Recognize and Avoid Employment scams. Practice safe job searching.

                                                              +Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +
                                                              +
                                                              +
                                                              Privacy Policy
                                                              +
                                                              Review our Privacy Policy for information on how League is protecting personal data.
                                                              +
                                                              +
                                                              ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-10-13T17:30:14.043Z,False,0,18,71,https://talenthub.vectorinstitute.ai/jobs/153868796-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-09-29T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, +eb7e0d28-92cf-4fb4-b091-076b960df848,149429463,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-09-09T01:51:13.594Z,"

                                                              Company Overview

                                                              -

                                                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                              -

                                                              TD’s Colleague Promise: A better you. A better us.

                                                              -

                                                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              Department Overview

                                                              -

                                                              Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                              -

                                                              As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                              +

                                                              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                              +

                                                              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                              +

                                                              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                              Job Description

                                                              -

                                                              You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                                              +

                                                              +

                                                              About this Role

                                                              +

                                                              While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                                                              +

                                                              We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                              +

                                                              As a Data Scientist II, these are the essential qualifications of this role:

                                                                -
                                                              • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                              • -
                                                              • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                              • -
                                                              • Design, develop and deploy system enhancements
                                                              • -
                                                              • Perform Unit and System Integration tests
                                                              • -
                                                              • Document system deployment plans for system implementation and code deployment
                                                              • -
                                                              • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                              • -
                                                              • Provide recommendations with full usability analysis
                                                              • -
                                                              • Perform root-cause analysis and resolution of application defects
                                                              • -
                                                              • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                              • -
                                                              • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                              • +
                                                              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                              • +
                                                              • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                              • +
                                                              • Design and deliver enterprise analytic solutions for customers
                                                              • +
                                                              • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                              • +
                                                              • Build complex statistical models that learn from and scale to petabytes of data.
                                                              • +
                                                              • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                              • +
                                                              • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                              • +
                                                              • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                              • +
                                                              • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                                                              Requirements

                                                              -
                                                                -
                                                              • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                                              • -
                                                              • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                              • -
                                                              • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                              • -
                                                              • Test Data Tools Knowledge (CA TDM or Delphix)
                                                              • -
                                                              • Familiarity with source code management such as GIT
                                                              • -
                                                              • Familiarity with Jira and Confluence
                                                              • -
                                                              • A thirst for constantly exploring emerging technology
                                                              • -
                                                              • Skills that would be an asset, but not required
                                                                  -
                                                                • Familiarity with RDBMS, Big data
                                                                • -
                                                                • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                • -
                                                                • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                • -
                                                                • Interest or aptitude in Financial Systems and the Financial Industry
                                                                • -
                                                                • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                • -
                                                                -
                                                              • -
                                                              -

                                                              -

                                                              Additional Information

                                                              -
                                                              +
                                                              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                              • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                                              • -
                                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                              • -
                                                              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                              • -
                                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                              • +
                                                              • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                                              • +
                                                              • Up to 5 years’ experience of working in analytical environments
                                                              • +
                                                              • Expertise in analytical tools such as SAS
                                                              • +
                                                              • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                                              • +
                                                              • Experience with Git
                                                              • +
                                                              • Experience with relational databases and usage of SQL
                                                              • +
                                                              • Experience with Object Orientated programming via Java/C++
                                                              • +
                                                              • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                                              • +
                                                              • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                                              • +
                                                              • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                                              • +
                                                              • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                                              -

                                                              Assigned Line of Business Requirements
                                                              Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                              +

                                                              Additional Information

                                                              +
                                                              #datascientist #LI-Hybrid
                                                              +

                                                              Hours

                                                              37.5

                                                              -

                                                              Start Date

                                                              -
                                                              – Fall, – Spring, – Summer, – Winter
                                                              -

                                                              Inclusiveness

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/127914623-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-05-28T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -49f9a3cd-e4d4-438d-a6b1-4c9b242a5b26,127628716,Scotiabank,Data Engineer,on_site,Canada : Ontario : Toronto,2022-05-27T05:06:10.396Z,"

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Requisition ID: 147855

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -

                                                              -

                                                              Purpose:

                                                              -

                                                              -

                                                              The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                                              -

                                                              We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                                              -

                                                              -


                                                              KEY ACCOUNTABILITIES:

                                                              -


                                                              • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                                              • Partner with advanced analytics teams to build powerful data assets and processes
                                                              • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                              • Build automated data management and data quality capabilities into projects
                                                              • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                                              • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                                              • Experiment & learn!

                                                              -

                                                              -


                                                              QUALIFICATIONS:

                                                              -


                                                              • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                                              • Experience in finance is an asset
                                                              • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                                              • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                              • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                              • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                                              • Experience with visualization tools an asset: Power BI/Tableau
                                                              • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                                              • High aptitude for diving in and picking up new technologies as required
                                                              • Eligible to work in Canada

                                                              -

                                                              -

                                                              -

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,feed-importer@jobboard.io,,,,2022-06-06T21:36:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/127628716-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,expired,2022-05-27T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -45c13119-da05-477b-b1e2-158abe837d65,127457725,Accenture,Data Engineer Consultant,on_site,Ontario - Toronto,2022-05-25T22:46:13.675Z,"

                                                              Job Description

                                                              Data Engineer - Ingestion

                                                              -

                                                              -

                                                              Location: Toronto

                                                              -

                                                              -

                                                              Are you ready to step up and take your technology expertise to the next level?

                                                              -

                                                              -

                                                              There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                                              -

                                                              -

                                                              We are Accenture Cloud First

                                                              -


                                                              Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                                              Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                                              -

                                                              -

                                                              The Work

                                                              -


                                                              Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                                              - -


                                                              -

                                                              Qualifications

                                                              -

                                                              Who are we looking for?

                                                              -

                                                              -

                                                              3 year of experience in the following:

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-12T17:50:38.570Z,False,0,1,35,https://talenthub.vectorinstitute.ai/jobs/149429463-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,expired,2022-09-09T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +7497b34f-e5a7-4734-a72a-f21567bfd4e2,156979899,League,Senior Data Analyst - Remote,full,US / Canada - Remote,2022-10-15T17:26:07.467Z,"
                                                              +
                                                              Help Us Shape the Future of Healthcare
                                                              +
                                                              +
                                                              At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                              +

                                                              As a Senior Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                              +

                                                              People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                              +

                                                              Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                              +


                                                              In this role, you will:

                                                                -
                                                              • Azure Data Factory
                                                              • -
                                                              • PySpark
                                                              • -
                                                              • Azure SQL
                                                              • -
                                                              • Azure Data Lake
                                                              • +
                                                              • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                              • +
                                                              • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                              • +
                                                              • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                              • +
                                                              • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                              • +
                                                              • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                              -

                                                              -

                                                              Preferred Skills:

                                                              -

                                                              Certification: Azure Data Certification

                                                              -

                                                              Python

                                                              -
                                                              -
                                                              -
                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement

                                                              -

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              -

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              -

                                                              Requesting An Accommodation

                                                              -

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              -

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              -

                                                              Other Employment Statements

                                                              -

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              -

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-06T21:36:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127457725-data-engineer-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,expired,2022-05-25T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -b47d6bfa-8199-41eb-8530-e6accc541808,126310800,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-05-20T05:06:07.261Z,"

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Requisition ID: 152179

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              -

                                                              -

                                                              Associate Data Engineer, Canadian Business Banking

                                                              -

                                                              -

                                                              Purpose

                                                              -


                                                              This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                              -



                                                              The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                              -

                                                              -

                                                              Accountabilities:

                                                              -


                                                              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                              • Supports the development and management of database and Business Intelligence for Business Banking
                                                              • Build data architecture for Business Banking
                                                              • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                              • Architect the generation of powerful datasets to bring successful analytics to market
                                                              • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                              • Learn the business strategy and generate ideas for insightful tools
                                                              • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                                              • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                              • Work with data users to ensure datasets produced meet their analytic needs
                                                              • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                                              • Enable quick speed to market for new data needs for the Business Bank·
                                                              • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                                              • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                                              • Keep abreast with latest database technology and data solutions
                                                              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                              • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                              • Champions a high-performance environment and contributes to an inclusive work environment.

                                                              -

                                                              -

                                                              Education / Experience / Other Information:

                                                              -

                                                              Education
                                                              • Bachelor’s degree in Computer Science or related field or relevant experience
                                                              • Master’s degree in Computer Science – preferred

                                                              -

                                                              -

                                                              Skills/Work Experience:
                                                              • 2+ years of data engineering and software experience
                                                              • Experience with Python and/or Scala required
                                                              • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                                              • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                                              • Hands-on development in a distributed data environment an asset
                                                              • Experience with Business Intelligence Tools: Power BI, Tableau
                                                              • Excellent verbal and written communication skills are required
                                                              • Strong prioritizing and analytical skills
                                                              • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                                              • Strong technical skills in Math, Computer Science or related fields
                                                              • Excellent design and delivery capabilities
                                                              • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                              -

                                                              -

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-06-09T16:20:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/126310800-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -5430c49f-6703-4679-af6f-825e60aedacc,124960853,Thomson Reuters,"Senior Software Engineer, Python, Machine Learning",on_site,"Toronto, ON, Canada",2022-05-11T18:44:27.170Z,"

                                                              Senior Software Engineer, Python, Machine Learning

                                                              -

                                                              Primary Location: Eagan, MN, US or Toronto, ON, Canada.

                                                              -

                                                              **Note: candidates can choose which location they'd prefer.

                                                              +


                                                              Attributes

                                                                -
                                                              • About this position

                                                              • -
                                                              • Working at Thomson Reuters

                                                              • +
                                                              • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                              • +
                                                              • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                              • +
                                                              • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                              • +
                                                              • You drive to learn and master new technologies and techniques.
                                                              • +
                                                              • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                              • +
                                                              • You are eager to learn from others and help others grow with you.
                                                              -

                                                              Do you love creating innovative solutions for customers? We are seeking a passionate Senior Software Engineer proficient in Python with practical experience delivering machine learning (ML) models in cloud environments – such as Amazon Web Services. As a member of Thomson Reuters Labs in MSP/Toronto, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

                                                              -

                                                              -

                                                              What do we do? In Thomson Reuters Labs, we experiment, build and deliver. We work with big data sets to discover what new products, services, or insights we can create for our customers. We then work across the organization to build and deliver these capabilities. Thomson Reuters is perhaps most well-known for the Reuters News agency. The company is also one of the top sources of information for legal professionals, corporations, and tax professionals. We have over 60,000 TBs of legal, regulatory, news, and tax data.

                                                              -

                                                              -

                                                              Thomson Reuters Labs works across all business segments of Thomson Reuters. You will be part of a diverse, agile, and interdisciplinary innovation team located in Toronto – collaborating with colleagues located in the United States of America, Switzerland, the United Kingdom, and India. You will work closely with other engineers, designers, data scientists, and stakeholders to build solutions that use data analysis and AI, like machine learning (ML).

                                                              -

                                                              The science and engineering of AI is rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problems spaces; who is comfortable with ambiguity and pivoting when needed.

                                                              -

                                                              Is this you? Come join us!

                                                              -

                                                              -

                                                              About the Role

                                                              -

                                                              In this opportunity as a Senior Software Engineer, you will:

                                                              +



                                                              Desired Outcome

                                                                -
                                                              • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
                                                              • -
                                                              • -Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                              • -
                                                              • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                              • -
                                                              • -Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                              • -
                                                              • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                              • -
                                                              • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                              • +
                                                              • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                              • +
                                                              • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                              -

                                                              About You

                                                              -

                                                              You're a fit for the role of Senior Software Engineer if you:

                                                              +


                                                              Required Education/Experience/Certificates

                                                                -
                                                              • Can “think in code” and have a deep understanding of the Python software development stacks and ecosystems
                                                              • -
                                                              • Have practical, hands-on, experience deploying ML models to cloud environments like AWS or Azure (or a similar cloud platform).
                                                              • -
                                                              • Are proficient in system analysis and design
                                                              • -
                                                              • Have experience working in an agile environment
                                                              • -
                                                              • Are curious and comfortable with rapid change and learning new things
                                                              • -
                                                              • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working at a fast pace, embraces change, and can creatively pivot when needed
                                                              • -
                                                              • Have a desire to work with Machine Learning and Natural Language Processing (NLP)
                                                              • -
                                                              • Have a Bachelor of Science degree or equivalent in computer science or related field with 4+ years of professional software development experience
                                                              • +
                                                              • Strong SQL skills and experience working with a modern ETL framework
                                                              • +
                                                              • Experience working as a data analyst or data scientist
                                                              • +
                                                              • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                              -

                                                              What's in it For You

                                                              -

                                                              At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                              +



                                                              Nice To Have Experience

                                                              +
                                                                +
                                                              • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                              • +
                                                              • Healthcare industry experience
                                                              • +
                                                              +
                                                              +At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                              +
                                                              +
                                                              Our Application Process:
                                                              +
                                                              +
                                                              Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                                +
                                                              • You should receive a confirmation email after submitting your application.
                                                              • +
                                                              • A recruiter (not a computer) reviews all applications at League.
                                                              • +
                                                              • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                              • +
                                                              • The final step is an offer, which we hope you will accept!
                                                              • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to cutting-edge technology
                                                                • Our scientists and engineers explore big data sets to discover new capabilities and insights.
                                                                +Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
                                                              • -
                                                              • -Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                              • -
                                                              • -Perks: Social events & activities, employee discount programs through corporate perks
                                                              -

                                                              Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                              +
                                                              +
                                                              Here are some additional resources to learn more about League:
                                                              + + + + +
                                                              +

                                                              Recognize and Avoid Employment scams. Practice safe job searching.

                                                              +Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +
                                                              +
                                                              +
                                                              Privacy Policy
                                                              +
                                                              Review our Privacy Policy for information on how League is protecting personal data.
                                                              +
                                                              +
                                                              ",,https://boards.greenhouse.io/leagueinc/jobs/4497880004,feed-importer@jobboard.io,,,,2022-10-20T15:27:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/156979899-senior-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4497880004,expired,2022-10-15T17:26:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +71f8b192-63b7-470f-be89-400963bbec2b,170608175,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-11-24T17:41:01.559Z,"
                                                              +

                                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                              -

                                                              #LI-LP2

                                                              ",Jeffrey.Schadoff@thomsonreuters.com,,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2022-06-10T18:44:29.289Z,False,2,0,16,https://talenthub.vectorinstitute.ai/jobs/124960853-senior-software-engineer-python-machine-learning-at-thomson-reuters,,expired,2022-05-11T18:44:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -c571128c-c17e-4efd-a9c9-c3a174708639,124989633,Accenture,Data Science Senior Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-05-11T22:46:02.824Z,"

                                                              Job Description

                                                              -

                                                              We Are
                                                              The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                                                              -

                                                              You Are
                                                              An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                                                              +

                                                              Job Description:

                                                              -

                                                              What You’ll Do
                                                              • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                                                              • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                                                              • Lead multiple teams and engagements to engineer & deliver value for clients
                                                              • Play an active role building a practice including capability development, recruitment, and mentorship
                                                              • Help drive the innovation agenda, including thought leadership publication
                                                              • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                                                              - -


                                                              -

                                                              Qualifications

                                                              +

                                                              Role Summary

                                                              -

                                                              What We’re Looking For
                                                              • Extensive experience engaging with client senior leadership on complex business problems
                                                              • Expertise developing solution offerings and communicating findings to executive audiences
                                                              • Well versed with managing data science teams and engagements, and providing technical leadership
                                                              • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                                                              • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                                                              +

                                                              Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                              -

                                                              Bonus Point If
                                                              • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                              • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                              • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                                                              • A blend of data science capability, industry and consulting expertise
                                                              • High initiative and a desire/ability to persist through obstacles/ambiguity
                                                              • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas

                                                              -
                                                              -

                                                              Locations

                                                              Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                              -
                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement

                                                              -

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              -

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              -

                                                              Requesting An Accommodation

                                                              -

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              -

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              -

                                                              Other Employment Statements

                                                              -

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              -

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-11T17:53:19.518Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/124989633-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,expired,2022-05-11T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, -64dc480a-d42a-4cf5-90b3-04df88e17344,125022652,Vector Institute,"Applied Machine Learning Scientist AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2022-05-12T07:06:03.777Z,"
                                                              -

                                                              POSITION SUMMARY

                                                              -

                                                              -

                                                              As an Applied ML Scientist, you will provide technical leadership and contribute to applied research and its applications to solve real-world problems using machine learning. You will lead application of breakthrough machine learning research to solve real world problems, provide guidance and have an opportunity to work with the best and brightest scientists and machine learning experts. You will collaborate with some of the leading machine learning researchers, data scientists, and specialists to build machine learning and open-source software.

                                                              -

                                                              -

                                                              Publishing papers on applied research is a part of this role, but the focus is on the impact of the applications, not on the quantity or quality of publications. We are seeking a Scientist with research experience in deep learning, machine learning, and graph-based methods.

                                                              -

                                                              -

                                                              KEY RESPONSIBILITIES

                                                              -

                                                              +

                                                              Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                              +

                                                              +

                                                              Sun Life views success in this role in demonstration of these key attributes:

                                                              +

                                                              Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                              +

                                                              +

                                                              What will you do?

                                                                -
                                                              • - Research and implement state of the art techniques to solve real world problems; -
                                                              • -
                                                              • - Work in collaboration with researchers, Applied ML Specialists, Vector’s professional staff, and collaboration partners to build demos, minimum viable products (MVP), and prototypes; -
                                                              • -
                                                              • - Provide scientific advice regarding overall machine learning application strategies and roadmaps;  -
                                                              • -
                                                              • - Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research; -
                                                              • -
                                                              • - Serve as the lead Vector scientific contributor for health, industry, and responsible AI projects including contributing to or leading the authoring of peer-reviewed research papers; -
                                                              • -
                                                              • - Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning; -
                                                              • -
                                                              • - Serve as an expert and facilitate identification of experts among the Vector Institute research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and, -
                                                              • -
                                                              • - Other duties as assigned. -
                                                              • +
                                                              • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                              • +
                                                              • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                              • +
                                                              • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                              -

                                                              -

                                                              PROFILE OF THE IDEAL CANDIDATE

                                                              -

                                                                -
                                                              • - PhD degree in computer science or computer engineering with a research focus on machine learning domains like foundation models, Deep Learning, computer vision, recommendation systems, and reinforcement learning -
                                                              • -
                                                              • - Demonstrated experience applying machine learning research to novel problems and data sets; experience in applied research -
                                                              • -
                                                              • - Experience with software engineering and/or data engineering is considered an asset -
                                                              • -
                                                              • - Strong knowledge and experience of Python -
                                                              • -
                                                              • - Experience with parameter and architecture tuning of deep learning algorithms is considered an asset -
                                                              • +
                                                              • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                              • +
                                                              • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                              • +
                                                              • Champion and support diversity and inclusion

                                                              -

                                                              -
                                                              • - Experience using open-source deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA) -
                                                              -

                                                              -

                                                              HOW TO APPLY

                                                              -

                                                              Please address applications (cover letter and resume) to Richard Haldane, Talent Acquisition Specialist, using the link provided. The deadline for submission is May 24, 2022.

                                                              -

                                                              -

                                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact
                                                              hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                              -

                                                              -
                                                              ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=189&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-06-11T17:53:00.000Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/125022652-applied-machine-learning-scientist-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2022-05-12T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -6c7ab77b-a737-4731-bc71-d3132539d00b,133300165,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2022-06-23T07:35:04.175Z,"
                                                              +

                                                              What will you need to succeed?

                                                              +
                                                                +
                                                              • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                              • +
                                                              • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                              • +
                                                              • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                              • +
                                                              • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                              • +
                                                              • Experience with AWS services including SageMaker

                                                              • +
                                                              • Experience with machine learning including supervised and unsupervised models

                                                              • +
                                                              • Demonstrated experience in data transformation & data manipulation

                                                              • +
                                                              • Experience working with Structured vs. Unstructured data

                                                              • +
                                                              • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase,, Spark is strongly desirable

                                                              • +
                                                              • Effective and concise oral and written storytelling and insights communication skills

                                                              • +
                                                              • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                              • +
                                                              • Ability to document work and effectively prioritize documentation

                                                              • +
                                                              • Bilingualism (French, English) required for Quebec only

                                                              • +

                                                              -

                                                              At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                              -

                                                              Job Summary

                                                              -

                                                              The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                                              -

                                                              Main Responsibilities

                                                              -

                                                              Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment — 25%

                                                              -

                                                              · Drive continuous improvement by identifying opportunities and leading projects

                                                              -

                                                              · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                                              -

                                                              · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                                              -

                                                              · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                                              -

                                                              Advance Analytics — 75%

                                                              -

                                                              · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                                              -

                                                              · Apply statistical and machine learning knowledge to specific business problems and data

                                                              -

                                                              · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                                              -

                                                              · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                                              -

                                                              · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                                              -

                                                              Working Conditions

                                                              -

                                                              The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                                              -

                                                              Requirements

                                                              -

                                                              Experience

                                                              -

                                                              Research and Data Modelling

                                                              -

                                                              · Between 0 to 5 years of experience in research and advanced data modeling

                                                              -

                                                              o Between 0 to 5 years of experience in a large-scale operation and logistics environment

                                                              -

                                                              o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                                              -

                                                              o Experience cleaning, managing, and visualizing data, structured and unstructured

                                                              -

                                                              o Experience with warehouse management, transportation, and planning systems*

                                                              -

                                                              o Experience with technology and operation automation projects*

                                                              -

                                                              o Experience in applied research in areas relevant to AI *

                                                              -

                                                              o Experience with Machine Learning algorithms*

                                                              -

                                                              *Any experience for these above would be considered as an asset

                                                              -

                                                              Education/Certification/Designation

                                                              -

                                                              · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management or equivalent education a must.

                                                              -

                                                              · Degree in Operations Research, Data Science or similar is preferred.

                                                              -

                                                              · Master’s Degree in Engineering, Operations Research, Data Science, Statistics, Data Mining, Supply Chain Management or equivalent education or experience would be considered as an asset.*

                                                              -

                                                              *Any designation for these above would be considered as an asset

                                                              -

                                                              Competencies

                                                              -

                                                              · Applies critical thinking

                                                              -

                                                              · Sets direction and inspires others

                                                              -

                                                              · Collaborates with others and shares information

                                                              -

                                                              · Solves problems to create value

                                                              -

                                                              · Demonstrates agility and drives change

                                                              -

                                                              · Knows the business and stays current on industry needs

                                                              -

                                                              · Fluently bilingual both written and verbal (English, French)*

                                                              -

                                                              *Any skills/attributes for these above would be considered as an asset

                                                              -

                                                              Technical Skills/Knowledge

                                                              -

                                                              · Project and time management*

                                                              -

                                                              · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                                              -

                                                              · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                                              -

                                                              · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                                              -

                                                              · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                                              -

                                                              · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                                              -

                                                              *Any knowledge for any of the above would be considered as an asset

                                                              -

                                                              About CN

                                                              -

                                                              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                              +

                                                              What will be nice to have?

                                                              +
                                                              • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                              +

                                                              +

                                                              Unique Requirements

                                                              +


                                                              The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html

                                                              +

                                                              +

                                                              What\'s in it for you?

                                                              +
                                                                +
                                                              • Great Place to Work® Certified in Canada and the US - 2022

                                                              • +
                                                              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                              • +
                                                              • Named “Best Places to Work” by Glassdoor - 2021

                                                              • +
                                                              • Canada Award for Excellence for Mental Health at Work - 2021

                                                              • +
                                                              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                              • +
                                                              • Competitive salary and bonus structure influenced by market range data

                                                              • +
                                                              • 20 days vacation per year and an innovative sabbatical program

                                                              • +
                                                              • Pension, stock and savings programs to help build and enhance your future financial security

                                                              • +
                                                              • A friendly, collaborative, and inclusive culture

                                                              • +
                                                              • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                              • +
                                                              • The opportunity to move along a variety of career paths with amazing networking potential

                                                              • +
                                                              +

                                                              +

                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                              +

                                                              +

                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                              +

                                                              +

                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                              +

                                                              +

                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                              +

                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                              -

                                                              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                              -
                                                              ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8125?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-07T07:40:06.633Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/133300165-analyst-advance-analytics-at-cn,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Associate,Masters Degree,New Posting, -c5906d64-56d2-4269-ba34-eb40f8db2934,134738755,CIBC,"Senior Consultant, Analytics & Automation",on_site,"Ontario, Canada",2022-06-30T10:46:07.679Z,"
                                                              -

                                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                              -

                                                              -

                                                              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                              -

                                                              -

                                                              To learn more about CIBC, please visit CIBC.com

                                                              -

                                                              -

                                                              Job Description

                                                              +

                                                              Salary Range:

                                                              80,000/80 000 - 130,400/130 400

                                                              +

                                                              Job Category:

                                                              Advanced Analytics

                                                              +

                                                              Posting End Date:

                                                              06/12/2022
                                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00065513-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-12-08T14:47:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/170608175-senior-data-scientist-at-sun-life-financial,,expired,2022-11-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +2d121e27-7b43-4393-b632-08a38764f7b1,177790906,Scotiabank,"Data Engineer, Enterprise Growth Marketing, MarTech & Operations (contract)",on_site,Canada : Ontario : Toronto,2022-12-15T17:22:06.156Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 168026

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              The purpose of this role is to support the Enterprise Growth team in developing advanced analytics (AI / ML) capabilities through data engineering. The primary focus of the role is to work with the Marketing Operations team, the Global Data & Analytics Team and the Global Marketing Technology team in building and maintaining data pipelines and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure. This role will support the onboarding of the customer data platform through Adobe CDP and AJO.

                                                              +

                                                              +

                                                              What Your Role Will Be
                                                              • Collaborate with stakeholders to deliver data models to address operational needs
                                                              • Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
                                                              • Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
                                                              • Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
                                                              • Assist MIS & Data Analytics team with infrastructure development
                                                              • Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
                                                              • Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
                                                              • Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
                                                              • Assist in mentoring and up-skilling peers for advanced analytics
                                                              • Streamline, enhance and automate existing products to create capacity for team to develop new solutions
                                                              • Act as a subject matter expert in data engineering and GCP data technologies.
                                                              • Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
                                                              • Work with Agile and DevOps techniques and implementation approaches in the delivery.
                                                              • Be required to showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
                                                              • Be required to build and deliver Data solutions using GCP products and offerings.
                                                              • Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.

                                                              +


                                                              Skills You Already Have
                                                              • 3+ years data engineering experience
                                                              • 3+ years in cross-functional data teams
                                                              • 3+ years professional development skills
                                                              • 3+ years using python or other programming languages
                                                              • 3+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
                                                              • Experience with data modelling, data warehousing and database design
                                                              • Experience with Python application development, package management, dependencies, and deployment
                                                              • Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
                                                              • Strong collaboration skills with ability to translate technical knowledge into business value
                                                              • Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
                                                              • Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)
                                                              • Advanced problem-solving skills, and able to navigate an uncertain environment
                                                              • Experience designing and building ETL, data pipelines, or data engineering solutions
                                                              • Experience and understanding of various ML techniques including NLP an asset
                                                              • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO) an asset
                                                              • Experience with Docker, CI/CD tools, and Airflow and Kubernetes an asset
                                                              • Experience with cloud architecture (Azure, AWS, GCP) an asset
                                                              • Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, Google Cloud Storage & Compute Engine).
                                                              • Experience in Spark (Scala/Python/Java) and Kafka.
                                                              • Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
                                                              • E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
                                                              • Regulatory and Compliance work in Data Management.
                                                              • E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.
                                                              • Experience with SQL and NoSQL modern data stores.
                                                              • Adobe data migration experience an asset

                                                              +


                                                              Education
                                                              University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience.

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/177790906-data-engineer-enterprise-growth-marketing-martech-operations-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +b37ac8f1-93f9-48d4-b197-1c24557bcffe,178992936,RBC,"Senior Analytics Manager, Data Products, Internal Audit",on_site,"Toronto, ON, Canada",2022-12-19T17:16:02.325Z,"
                                                              +

                                                              Come Work with Us!

                                                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                              +

                                                              Job Title

                                                              Senior Analytics Manager, Data Products, Internal Audit

                                                              -

                                                              What you’ll be doing

                                                              -

                                                              As a Senior Consultant, Analytics & Automation, you will be joining the Internal Audit department and the Data Analytics (DA) team, reporting to the Director, Data Management and Analytics Enablement. You will be responsible for making complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes. Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics

                                                              +

                                                              Job Description

                                                              +

                                                              What is the opportunity?

                                                              +

                                                              To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across AML, Capital Markets, Compliance, Credit Risk, Group Risk Management, Investor & Treasury Services and Wealth Management. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                              +


                                                              The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                                                              -

                                                              How you’ll succeed

                                                              +

                                                              What will you do?

                                                                -
                                                              • Curious and Creative – we are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive

                                                              • -
                                                              • Project Management and Process Design Skills – Our team constantly looks for ways to optimize and streamline processes to enhance efficiencies. A good understanding in User Interface and User Experience (UI/UX) design is preferred

                                                              • -
                                                              • Technical / Data Modelling Skills – prior experience in finding meaningful insights and design intuitive visualizations is beneficial. A background in web app design, data design, as well as DEV & UAT testing will be an asset

                                                              • -
                                                              • Data Management – Assist the director and the analytics team to source and manage new data sources for projects and ongoing audit engagements

                                                              • -
                                                              • Stay Current with Best Practices – our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics

                                                              • -
                                                              • Stay Current with Internal Audit – actively identify current and emerging trends, themes and topics in Internal audit analytics

                                                              • +
                                                              • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                                              • +
                                                              • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                                              • +
                                                              • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                                              • +
                                                              • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                                              • +
                                                              • Support and mentor junior analysts.
                                                              • +
                                                              • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.
                                                              • +
                                                              • Design, develop and maintain productionized applications and dashboards for our end users.

                                                              -

                                                              Who you are

                                                              +

                                                              What do you need to succeed?

                                                              +

                                                              Must have

                                                                -
                                                              • You can demonstrate 3 years experience in: data management, UI/UX and dashboard design. Experience in PHP, Django, Python, HTML5, CSS, JavaScript, SQL, Alteryx, Hadoop (Cloudera)

                                                              • -
                                                              • You have a degree/diploma in Computer Science, Engineering, and/or a related field of study. It’s an asset if you have background in graphical design

                                                              • -
                                                              • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do

                                                              • -
                                                              • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results

                                                              • -
                                                              • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

                                                              • +
                                                              • Degree in a quantitative field
                                                              • +
                                                              • Experience with either Python or R as well as SQL
                                                              • +
                                                              • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                                              • +
                                                              • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                                              • +
                                                              • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                                              -

                                                              -

                                                              What CIBC offers

                                                              -

                                                              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                              +

                                                              Nice to have

                                                                -
                                                              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                              • -
                                                              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                              • -
                                                              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                              • -
                                                              • You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                              • +
                                                              • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                                              • +
                                                              • Experience building natural language processing (NLP) and unsupervised learning models
                                                              • +
                                                              • Experience working with Dataiku
                                                              • +
                                                              • Understanding of software engineering design principles
                                                              • +
                                                              • An interest in finance

                                                              -

                                                              What you need to know

                                                              +

                                                              What’s in it for you?

                                                              +

                                                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                              • -
                                                              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                              • +
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                              • +
                                                              • Leaders who support your development through coaching and managing opportunities
                                                              • +
                                                              • Work in a dynamic, collaborative, progressive, and high-performing team
                                                              • +
                                                              • Opportunities to do challenging work
                                                              • +
                                                              • Flexible work/life balance options

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Job Location

                                                              Toronto-81 Bay, 26th Floor

                                                              Employment Type

                                                              Regular

                                                              -

                                                              Weekly Hours

                                                              37.5

                                                              Skills

                                                              -

                                                              Hyper Text Markup Language (HTML), JavaScript, jQuery, Python, Python Django, Structured Query Language (SQL) Development
                                                              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Analytics---Automation_2220189,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-07T10:51:09.722Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/134738755-senior-consultant-analytics-automation-at-cibc,,expired,2022-06-30T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -7b30eb8c-8107-4f86-96a6-c73dc8a7fa2c,131430681,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2022-06-13T21:06:12.178Z,"
                                                              -

                                                              Company Overview

                                                              -
                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              -
                                                              -

                                                              -

                                                              Department Overview

                                                              -
                                                              -

                                                              The Business Banking Data Governance & Analytics group is responsible for the overall management of data requirements for Business Banking, including the development and implementation of a data strategy in line with enterprise standards & policies.

                                                              -

                                                              The group supports Business Banking operations, product and sales teams in the areas of data engineering, reporting, and analytics.

                                                              -

                                                              The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer.

                                                              -

                                                              Reporting to the Manager, Business Intelligence & Reporting, the Senior BI & Reporting Analyst will provide specialized end to end reporting & analytics for Business Banking products and services, including loans, lines of credit, deposits & cash management services.

                                                              -
                                                              -

                                                              -

                                                              Job Description

                                                              -
                                                              -

                                                              Job Description
                                                              The successful candidate’s accountabilities and responsibilities will include:

                                                              -

                                                              • Create complex and comprehensive BI reporting packages and dashboards and perform data/business analysis using various internal data sources to support the understanding of Business banking customers, business drivers and the financial results.
                                                              • Communicate analysis and ideas clearly, concisely and effectively with business partners and internal team.
                                                              • Liaise with Business stakeholders to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate delivery.
                                                              • Create and maintain detailed documentation on all projects/requests.
                                                              • Produce specialized reporting packages, dashboards & scorecards to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision making,
                                                              • Lead the implementation of initiatives in support of overall business/function strategy
                                                              • Conduct analysis to provide enhanced BI to inform management leadership team
                                                              • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                                              • Develop meaningful and insightful commentary/insights on new and existing reporting packages.
                                                              • Work with business partners to understand business objectives and develop value-added reporting and provide ad-hoc data extracts
                                                              • Adopt, implement and effectively evolve report automation standards

                                                              -
                                                              -

                                                              -

                                                              Requirements

                                                              -

                                                              Job Requirements
                                                              • Undergrad in a quantitative discipline (Computer Sci, Math, etc)
                                                              • 5+ years experience in ETL development, data analysis and working with large volumes of data, ideally within financial services.
                                                              • 5+ years Experience in Software engineering (SQL, Python/pyspark/SAS)
                                                              • Project and time management skills
                                                              • Knowledge of one or more of the TD’s systems would be an asset, e.g. Loans, DAS, CIF, Term and EDW, Akora.
                                                              • Experience using visualization tools (e.g. Tableau)
                                                              • Analytical thinker with ability to manage multiple projects and meet tight deadlines.
                                                              • Well organized, high attention to detail, results-oriented.
                                                              • A solid team player, with strong interpersonal skills.

                                                              -

                                                              -

                                                              Hours

                                                              -
                                                              37.5
                                                              -

                                                              -

                                                              Inclusiveness

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/16085696/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-07T17:00:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131430681-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16085696/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2022-06-13T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -178b4944-d76d-4af9-9faa-b339656cb396,134309532,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2022-06-27T21:06:12.725Z,"
                                                              +

                                                              Job Summary

                                                              +

                                                              Address:

                                                              TORONTO, Ontario, Canada

                                                              City:

                                                              CAN-ON-TORONTO

                                                              Country:

                                                              Canada

                                                              Work hours/week:

                                                              37.5

                                                              Employment Type:

                                                              Full time

                                                              Platform:

                                                              Internal Audit

                                                              Job Type:

                                                              Regular

                                                              Pay Type:

                                                              Salaried

                                                              Posted Date:

                                                              2022-12-13-08:00

                                                              Application Deadline:

                                                              2022-12-30-08:00
                                                              +

                                                              Inclusion and Equal Opportunity Employment

                                                              +

                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                              ​​​​​​​
                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                              +
                                                              +

                                                              Join our Talent Community

                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                              +
                                                              ",,https://jobs.rbc.com/ca/en/job/R-0000039509/Senior-Analytics-Manager-Data-Products-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-02T17:21:02.724Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/178992936-senior-analytics-manager-data-products-internal-audit-at-rbc,,expired,2022-12-19T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +cc46bc6e-5f45-470f-878f-f172b9aafc11,177790902,Scotiabank,Data Science Manager,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:05.923Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 169269

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              The world is changing faster than ever and so are we!

                                                              +

                                                              +

                                                              Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                              +

                                                              Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                              +

                                                              +

                                                              What You'll do in this Role?

                                                              +

                                                              As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                              +

                                                              +

                                                              Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                              +

                                                              +

                                                              Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                              +

                                                              +

                                                              Is This Role Right for You?

                                                              +
                                                              • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                              • You are both deeply curious and highly pragmatic
                                                              • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                              • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                              • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                              • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                              • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                              • You are comfortable initiating conversations and collaborating with diverse personalities
                                                              • You are committed to quality in everything you do – statistically, process and governance wise
                                                              • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                              • You are professional, motivated AND FUN. We mean it.
                                                              • +
                                                              +

                                                              Sample projects that you might work on include:

                                                              +
                                                              • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                              • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                              • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                              • Lead the periodic review and maintenance of credit risk models / scorecards
                                                              • Identify, promote and lead process improvements for model development and monitoring
                                                              • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                              • +
                                                              +

                                                              +

                                                              What Are We Looking For?

                                                              +

                                                              We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                              +

                                                              To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                              +

                                                              We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                              +

                                                              +

                                                              Do you have the skills that will enable you to succeed in this role?

                                                              +

                                                              General

                                                              +
                                                              • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                              • A demonstrated history of analytic problem solving and sound judgment
                                                              • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                              • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines +
                                                              • +
                                                              +

                                                              +

                                                              Technical

                                                              +
                                                              • Strong fundamental understanding of statistics
                                                              • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                              • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                              • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                              • Knowledge of credit risk models / scorecards
                                                              • +
                                                              +

                                                              +

                                                              Nice To Have's

                                                              +
                                                              • Proficient reading, writing and speaking Spanish (not required)
                                                              • Experience developing credit risk models / scorecards
                                                              • Domain expertise with any retail & small business banking products and/or risk management practices
                                                              • FRM, CFA credentials
                                                              • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                              • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                              • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                              • +
                                                              +

                                                              What's In it For You?

                                                              +
                                                              • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                              • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                              • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                              • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                              • A competitive compensation package
                                                              • +
                                                              +

                                                              +

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/177790902-data-science-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ec4213e5-6008-4907-8d56-b29b27bb767d,172488959,Scotiabank,Data Strategist - CID&A,on_site,Canada : Ontario : Toronto,2022-12-01T17:22:02.903Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 169255

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              DATA STRATEGIST

                                                              +

                                                              +

                                                              As a Data Strategist in the Corporate Functions Analytics team, you will help integrate analytics capabilities into Scotiabank’s digital products by developing and implementing data strategies that will help improve the customer experience.

                                                              +



                                                              What will you do in this role?

                                                              +



                                                              • Work cross-functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with digital banking, other analytics teams, and the data office.
                                                              • Measure performance during release of new digital solutions. Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                                              • Deep dive into data to identify opportunities, influence product development, and/or overall business strategies.
                                                              • Communicate and coordinate with teams to implement data-driven strategies while measuring progress.
                                                              • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experience.
                                                              • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.

                                                              +



                                                              Are you the right person for the role?

                                                              +


                                                              • You have a strong business acumen, and you excel at developing and communicating analytics insights.
                                                              • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                                                              • You have a high aptitude for diving in, taking ownership and picking up new things.
                                                              • You're eager to mentor, teach and share your ideas in a team environment.
                                                              • You have an open and transparent communication style, including the ability to distil technical details into easy-to-understand terms.

                                                              +


                                                              Do you have the skills that will enable you to succeed in this role?

                                                              +


                                                              • Ability to simplify and describe complex analytical concepts to non-technical stakeholders, and to tell a story with data.
                                                              • Experience using visualization tools like Power BI and ability to create dashboards with meaningful metrics.
                                                              • Ability to clean, transform and visualize large data sets working with various data formats.
                                                              • Proficient in one or more statistical programming languages (eg. Python, SQL, R); comfortable with creating large queries.
                                                              • Experience with digital analytics tools such as Adobe Analytics is a nice-to-have.
                                                              • Knowledge about common Machine Learning approaches (eg. feature engineering, classification, regression, clustering, NLP, time series forecasting) is a nice-to-have.

                                                              +


                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-04T14:18:59.261Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/172488959-data-strategist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,expired,2022-12-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +23909fb2-4707-465b-9513-3df6dd6f0b2c,171557153,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-11-28T17:24:02.099Z,"

                                                              Company Overview

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              @@ -40148,48 +39347,65 @@ c5906d64-56d2-4269-ba34-eb40f8db2934,134738755,CIBC,"Senior Consultant, Analytic

                                                              Department Overview

                                                              -

                                                              What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                              -

                                                              We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                              +

                                                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                              +

                                                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                              +

                                                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                              Job Description

                                                              -

                                                              -

                                                              About this Role

                                                              -

                                                              With your depth of experience and knowledge of data and insights, you’ll work closely with leadership teams, providing thought leadership and insights for a host of projects. Your goal? Deliver and communicate world-class, comprehensive analytical support, identify and enhance business opportunities, productivity and efficiency. TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value.

                                                              -

                                                              We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                              -

                                                              -

                                                              As a Business Insights Specialist, you will:

                                                              +

                                                              Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                              +

                                                              If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                              +

                                                              As a Business Information Management Data Practitioner, you will:

                                                                -
                                                              • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise
                                                              • -
                                                              • Formulate relevant and significant data analysis through comprehensive profiling tools, segmentation, as well as bringing to bear advanced modeling and analytics
                                                              • -
                                                              • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help drive business growth or address business/enterprise needs
                                                              • -
                                                              • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                              • -
                                                              • Work autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
                                                              • -
                                                              • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                              • -
                                                              • Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner
                                                              • -
                                                              • Act as the primary point of contact with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
                                                              • -
                                                              • Build and apply positive working partnerships to constructively influence and inspire partners where appropriate
                                                              • -
                                                              • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
                                                              • -
                                                              • Call out data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
                                                              • -
                                                              • Provides day-to-day support and delivery of analytics
                                                              • -
                                                              • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
                                                              • +
                                                              • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                              • +
                                                              • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                              • +
                                                              • Engage in business and data requirements to develop complete business solutions
                                                              • +
                                                              • Design and implement complex business data information management frameworks
                                                              • +
                                                              • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                              • +
                                                              • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                              • +
                                                              • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation

                                                              Requirements

                                                              -What can you bring to TD?

                                                              -

                                                              Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                              +

                                                              Potential Candidates interested in this role should have:

                                                                -
                                                              • Undergraduate degree or technical certificate
                                                              • -
                                                              • Seven (7) or more years relevant experience
                                                              • +
                                                              • Undergraduate degree or technical certificate in a relevant field
                                                              • +
                                                              • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                              • +
                                                              • Experience in data programming languages, patterns and design principles
                                                              • +
                                                              • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                              • +
                                                              • Expertise in data storage and movement, including relational and big data
                                                              • +
                                                              • Strong analytical and problem-solving skills
                                                              • +
                                                              • In-depth knowledge of competitor and market trends
                                                              • +
                                                              • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                              • +
                                                              • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                              • +
                                                              • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                              • +
                                                              • Act as a brand champion for our business area / function and TD, both internally and externally

                                                              Additional Information

                                                              -#businessintelligence #LI-Hybrid
                                                              +Data engineering:

                                                              +
                                                                +
                                                              • Degree in Computer Science
                                                              • +
                                                              • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                              • +
                                                              +

                                                              #dataengineer #LI-Hybrid

                                                              +

                                                              Locations:

                                                              +
                                                                +
                                                              • Toronto
                                                              • +
                                                              • Montreal
                                                              • +
                                                              • Markham
                                                              • +
                                                              • London
                                                              • +
                                                              • Ottawa
                                                              • +
                                                              • New Jersey, USA
                                                              • +
                                                              • Delaware, USA
                                                              • +
                                                              +
                                                              * L7- L10
                                                              +

                                                              Hours

                                                              37.5
                                                              @@ -40197,118 +39413,109 @@ c5906d64-56d2-4269-ba34-eb40f8db2934,134738755,CIBC,"Senior Consultant, Analytic

                                                              Inclusiveness

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/16109523/business-insights-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-07T21:12:07.084Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/134309532-business-insights-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16109523/business-insights-specialist-toronto-ca/,expired,2022-06-27T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -37f4c0ff-32f8-454c-98be-8c58ef6dd3c6,134775944,Thomson Reuters,"Lead, Data & Model Ethics - Privacy Eng. Toronto; EAGAN, MN",on_site,"Ontario, Canada",2022-06-30T13:31:07.255Z,"
                                                              -

                                                              Lead, Data and Model Ethics – Privacy Engineering and Design

                                                              -

                                                              -

                                                              Thomson Reuters is transitioning to a content-driven technology company with over a century of experience curating and classifying data and supporting professionals in complex domains that move society forward. With some of the most comprehensive and richly enhanced legal, regulatory, news, and tax data in the world, Thomson Reuters is a leader in delivering technologies that inform the way forward.

                                                              -

                                                              -

                                                              The Data and Model Governance team, part of the Data and Analytics function, is responsible for ensuring governance practices that support the company’s leadership and delivery of world-class data and AI enabled solutions. The Privacy Engineering and Design Lead will be a critical member of this team, supporting the enterprise with building and delivering ethical and trustworthy technology.

                                                              -

                                                              -

                                                              The successful candidate will be responsible for the design and implementation of best practices and ways of workingacross the enterprise. The focus will be to ensure our teams’ use of data and development of models are using state of the art privacy and security preserving tools and techniques. Working closely with our data and model stewardship and technology teams, the successful candidate will be a go-to resource for advising on ethical design and engineering best practices.

                                                              -

                                                              -

                                                              *this is an emerging field of practice, if you are passionate about data and model ethics but don’t necessarily meet all of the below requirements, you are still strongly encouraged to apply.

                                                              -

                                                              -

                                                              About the Role:

                                                              -

                                                              · Partner on data profiling and database structure/model research to advise on relevant data and ModelOps (AI) best practices regarding privacy and security

                                                              -

                                                              · Partnering with our legal counsel, you will monitor and report on the latest developments in legislative and regulatory instruments as it pertains to privacy and security – incorporating into our policies as needed

                                                              -

                                                              · Partnering with our risk and security teams to ensure compliance with our privacy and security policies, and support with the maturation of our standards – support risk reporting and mitigation strategies as needed

                                                              -

                                                              · Partnering with our technology teams on the implementation of centralized and scalable privacy automation and by design methodologies and tools – coding practices and architecture

                                                              -

                                                              · Working closely with Data and Model stewardship network and stakeholders as a specialist consultant on data and AI projects across the organization – advising on technical tool implementation, research, and latest developments around privacy and security.

                                                              -

                                                              · Provide support and drive adoption of data and AI ethics and governance matters to colleagues across the organization – developing strategy and success metrics

                                                              -

                                                              · Contribute to the development of thought leadership and related educational resources both within the organization and externally

                                                              -

                                                              About You:

                                                              -

                                                              · Strong familiarity with Privacy by Design (PbD) Foundational Principles, FIPPS and the NIST Privacy Framework – demonstrated application an asset

                                                              -

                                                              · IAPP Certified CIPP/CIPT or in the process of obtaining

                                                              -

                                                              · Demonstrated understanding of AI governance activities including oversight mechanisms, documentation, development processes

                                                              -

                                                              · Practical experience working within a data and AI ethics governance framework an asset – thorough understanding of data and systems infrastructures

                                                              -

                                                              · Expert and rising leader within the privacy and security domains

                                                              -

                                                              · Solid understanding of global data and AI privacy principles and regulations (experience working with GDPR/Canadian Privacy Act an advantage)

                                                              -

                                                              · Deep technical knowledge and working experience in data management, data governance, and/or data quality exploring, analyzing, profiling, manipulating data sets (e.g. Cloud, Data Lake, SQL, Python, Alteryx…), or have worked closely with data scientists and engineers in implementing best practices for ethical use and development

                                                              -

                                                              · Strong familiarity with data management, ModelOps and traditional software development life cycles – practical experience working as a data scientist or software engineer a strong asset

                                                              -

                                                              · You are a solutions-oriented critical thinker with strong influencing and networking skills

                                                              -

                                                              · You demonstrate the ability to translate technical/business issues and requirements into actionable plans, and to deliver against those plans

                                                              -

                                                              · You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight

                                                              -

                                                              · 4-6 years of academic or industry experience, ideally within the domains of data management and responsible AI

                                                              -

                                                              · A strong asset – Masters degree or higher – higher education and certifications within the fields of data management, analytics, machine learning and AI, and/or technology ethics

                                                              -

                                                              What’s in it For You?

                                                              -

                                                              You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                              -

                                                              · COVID-19 Response: Currently working remotely and following local COVID-19 bylaws and guidelines with the majority of our offices being remote until July 2021. Upon return, we will be embracing a hybrid work environment consisting of in-office and remote work

                                                              -

                                                              · Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                              -

                                                              · Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                              -

                                                              · Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                              -

                                                              · Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                              -

                                                              -

                                                              #LI-JS3

                                                              -

                                                              -

                                                              COVID-19 Vaccination Status Information Requirement (US employees only):

                                                              -

                                                              Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                              -

                                                              -

                                                              Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                              -

                                                              -

                                                              We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                              -

                                                              -

                                                              Accessibility

                                                              -

                                                              -

                                                              As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                              -

                                                              -

                                                              We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                              -

                                                              -

                                                              -

                                                              Protect yourself from fraudulent job postings click here to know more.

                                                              -

                                                              -

                                                              More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                              -
                                                              ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Lead--Data-and-Model-Ethics---Privacy-Engineering---Design_JREQ155429?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-07-07T13:36:02.002Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/134775944-lead-data-model-ethics-privacy-eng-toronto-eagan-mn-at-thomson-reuters,,expired,2022-06-30T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -d8e3fc9a-5715-4d12-8a67-a63caa2781e5,130372278,League,Senior Data Scientist,on_site,"Toronton, ON",2022-06-09T05:06:08.157Z,"

                                                              Help Us Shape the Future of Healthcare

                                                              -

                                                              At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.

                                                              -

                                                              As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.

                                                              -

                                                              To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.

                                                              -

                                                              Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR).


                                                              In this role, you will:

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-31T14:15:47.316Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/171557153-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-11-28T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3387741e-2865-4db7-b8aa-991e0f47cf1f,181831702,CN,"Intern, Solution and System Integration",on_site,"Ontario, Canada",2022-12-29T17:42:04.381Z,"
                                                              +

                                                              At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                              +

                                                              +

                                                              Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Solution and System Integration position in Montreal, Quebec for summer 2023 (May – August).

                                                              +

                                                              Job Summary

                                                              +

                                                              The Intern, Solution and System Integration is responsible for supporting the successful deployment of advanced infrastructure, telecom, Internet, Industrial Internet of Things (IoT), software development, applications and technology solutions, systems, and services. The role supports telecom team members in ensuring projects meet all business requirements and contributes to the global evolution of CN’s Information and Technology (I&T). The position plays a key role in the team, ensuring that the technology delivered is secure, reliable, available, resilient, performant, and aligned with safety standards as per business requirements. Specifically, the role is responsible for testing a variety of telecom changes in a lab environment to ensure successful production implementations (e.g., firmware, OS upgrades, routing changes)

                                                              +

                                                              Major Responsibilities

                                                                -
                                                              • Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
                                                              • -
                                                              • Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
                                                              • -
                                                              • Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
                                                              • -
                                                              • Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
                                                              • -
                                                              • Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health
                                                              • +
                                                              • Support telecom lab test plans through testing and document log results
                                                              • +
                                                              • Support the creation of solutions and migration plans that mitigate operational risk based on blueprint and test results from the lab
                                                              • +
                                                              • Support other integrators and work with them to address potential and current problems
                                                              • +
                                                              • Provide support during project migration or deployment through root cause and impact analysis in the lab
                                                              • +
                                                              • Support transition-to-core operations (e.g., update documentation, training plans)
                                                              • +
                                                              • Support financial estimates on overall solution costs and share information with project managers and stakeholders
                                                              • +
                                                              • Create technical diagrams and documentation for solutions and migration plans
                                                              -


                                                              About you:

                                                              +

                                                              Requirements

                                                                -
                                                              • MSc or PhD focused on data science/machine learning research or applications
                                                              • -
                                                              • 2+ years of experience in data science or machine learning engineering
                                                              • -
                                                              • 2+ years building and shipping data science based personalization services and recommendation systems
                                                              • -
                                                              • OR BSc focused on data science/computer science/engineering and 4+ years experience developing and shipping production grade machine learning systems
                                                              • -
                                                              • You have strong analytical and data science skills and are excited to apply it in non-traditional domains
                                                              • -
                                                              • You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
                                                              • -
                                                              • You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you
                                                              • +
                                                              • Minimum 1 year of experience in detailed design and solution integration either in a professional or academic setting
                                                              • +
                                                              • Knowledge of Local Area Network (LAN) and Wide Area Network (WAN) routing and switching technologies (Cisco Certified Network Associate (CCNA) level)
                                                              • +
                                                              • Knowledge of Cisco Nexus platform*
                                                              • +
                                                              • Knowledge of Arista Spine and Leaf architectures*
                                                              • +
                                                              • Knowledge of any common monitoring tools in telecom, SolarWinds, or Nagios
                                                              • +
                                                              • Knowledge of automation in a telecom environment*
                                                              • +
                                                              • Knowledge of automation frameworks, development environments and technologies related to networking (e.g., Python scripting, Ansible and Git)
                                                              • +
                                                              • Knowledge of Agile methodology
                                                              -

                                                              At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                              Here are some additional resources to learn more about League:Learn more about us in this short video!League, Cleveland Clinic collaborate to make employees healthier across North AmericaLeague and Loblaw bring next-generation digital health platform to customersLeague Completes Workday Approved Integration Given the current public health guidance on COVID-19 and to help support office health and safety, at this time, it is our company policy to require all Leaguers to be fully vaccinated to attend our offices in person.

                                                              -

                                                              Recognize and Avoid Employment scams. Practice safe job searching.

                                                              -

                                                              Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

                                                              ",,https://boards.greenhouse.io/leagueinc/jobs/4459649004,feed-importer@jobboard.io,,,,2022-07-09T14:53:29.358Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/130372278-senior-data-scientist-at-league,https://boards.greenhouse.io/leagueinc/jobs/4459649004,expired,2022-06-09T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -0f3699a4-ee7e-4003-b206-3e27d639a66d,136043504,TD Bank Group,Senior Data Analyst,on_site,"Toronto, ON",2022-07-07T21:07:04.562Z,"
                                                              +

                                                              Education

                                                              +
                                                              • Working towards a Bachelor’s Degree in Commerce, Computer Science, Computer Engineering, Electrical Engineering, or equivalent
                                                              +

                                                              *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                              +

                                                              +

                                                              +

                                                              About CN

                                                              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                              +

                                                              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                              +
                                                              ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9632?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-05T17:47:11.058Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831702-intern-solution-and-system-integration-at-cn,,expired,2022-12-29T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +f38e89e8-de16-44ea-bec0-7d8cd98213f0,177790984,TD Bank Group,Automation Analyst Intern / Co-op,on_site,"Toronto, ON",2022-12-15T17:24:02.370Z,"

                                                              Company Overview

                                                              -

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              -

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +

                                                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                              +

                                                              Why TD?

                                                              +

                                                              TD’s Colleague Promise: A better you. A better us.

                                                              +

                                                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                              Department Overview

                                                              -The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                              The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                              -

                                                              The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by Enterprise Data Governance Office (EDGO)

                                                              +

                                                              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                              +

                                                              Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                              +
                                                                +
                                                              • Leadership talks with key Leaders from across the organization
                                                              • +
                                                              • Lunch and Learns on topics such as Innovation
                                                              • +
                                                              • Diversity and Inclusion and Personal Branding and so much more
                                                              • +

                                                              Job Description

                                                              -
                                                              Reporting to the Senior, the incumbent is accountable as Data Analyst to support the data activities of migration of legacy system to nCino Platform. They will work closely with the Business Bank’s Data Steward (DS) Product owner, Business Analysts, Business System Analysts to understand the migration requirements.

                                                              -

                                                              Accountabilities Include:
                                                              • Collaborate with Data Modeler, System Analysts and Business Data owners to do Source to Target mapping (STM) for the conversion team.
                                                              • Hands on developing queries for data profiling and data quality assessment
                                                              • Developing queries to support the ad-hoc request that support the migration, functional and integration PODs
                                                              • Understand data structures being modified and created across the projects and conduct lineage / reverse-engineering to understanding impacts to existing DG&A Artefacts (i.e. Reporting, Analytics)
                                                              • Collaborate with project team to verify business data test cases scenarios covers data quality meeting data requirements; create new test cases if required. High level verification of the quality data in lower environments.
                                                              • Facilitate and document current data state and future data target states to ensure effects of data are understood and communicated across all project stakeholders
                                                              • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed.
                                                              • Participate fully as a member of the Business Bank’s Data Governance & Analytics team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                              • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                              +
                                                              +

                                                              TDI Automation team’s mandate is to unlock business value through Innovative Automation (IA). This type of work is about transforming how people work and interact with digital capabilities, rather than simply a technology implementation. Key considerations include process optimization and re-design and how robotics and artificial intelligence can improve the customer experience, while freeing up people’s time to focus on more value-adding activities.

                                                              +

                                                              Reporting to the Manager, Automation, the Analyst is responsible for supporting Pan-TDI Automation Program level deliverables and strategic initiatives to unlock business value through Innovative Automation capabilities. This individual will work closely with multiple stakeholders and teams including: Enterprise Automation Hubs, Business Optimization, Business Architecture, Enterprise Process Excellence, TDI Technology Services, Digital Channels, Customer Strategy and TD Insurance Operations. Together we will work to identify transformation and process improvement opportunities, deliver automated solutions, and champion proof of concepts which optimize customer and colleague experiences and improve operational efficiency.

                                                              +

                                                              Looking for a proven contributor with a passion for innovation and transformation. Seeking a continuous improvement mentality, strong communication, developing business acumen and digital literacy.

                                                              +
                                                                +
                                                              • Support successful execution of relevant reporting, operational requests, and transactional requests for the business unit and/or client
                                                              • +
                                                              • Conduct less complex analytics and research, and obtain/share internal and external relevant business/market data
                                                              • +
                                                              • Assist with building and reviewing internal models, tools, processes, policies, presentations, and other related materials; challenge team and improve the underlying processes of functional area
                                                              • +
                                                              • Prioritize and manage own workload to meet service level agreement requirements for service and productivity
                                                              • +
                                                              • Consistently exercise discretion in managing information and all matters of confidentiality; raise issues where appropriate
                                                              • +
                                                              • Access systems, understand and apply system capabilities, ensure information is completed timely and accurately
                                                              • +
                                                              • Work autonomously and perform multiple and/or diverse tasks that are complex, involving multiple steps, systems, and jurisdictions
                                                              • +
                                                              • Apply expert knowledge across a broad range or variety of products, processes or systems within own area of specialty to process transactions and activities that could be characterized by moderate to high risk
                                                              • +
                                                              • Gather and analyze data to identify and solve complex problems, raise as required
                                                              • +
                                                              • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                                              • +
                                                              • Support the team by continuously improving knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
                                                              • +
                                                              • Participate in personal performance management and development activities, including cross training within own team
                                                              • +

                                                              Requirements

                                                              -
                                                              • Seasoned data Analyst with proven ability to develop queries, reconcile migration reports , create source to target mapping documents
                                                              • Hands-on experience working with SQL language to carry-on daily data profiling and data quality is considered an asset
                                                              • Experience in working on data conversion and integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                              • Knowledge of Business Bank data and systems considered an asset including Salesforce/nCino
                                                              • Knowledge of platform and data warehouse design and principles is considered an asset
                                                              • Knowledge and experience in Agile projects, Jira and confluence tools is considered an asset
                                                              • Excellent relationship management skills.
                                                              • Excellent oral and written communication and presentation skills.
                                                              • Strong organizational awareness.
                                                              • Strong attention to detail and well-organized to manage large amounts of information and details
                                                              • Superior negotiation and creative problem-solving skills
                                                              +
                                                                +
                                                              • Current enrollment in a relevant post-secondary program
                                                              • +
                                                              • Over 1 year of related experience
                                                              • +
                                                              • Proficient with MS Office Suite and internet applications
                                                              • +
                                                              • Strong communications skills with positive personality and willingness to accept challenges
                                                              • +
                                                              • A strong analytical mind with attention to detail and desire to learn and grow
                                                              • +
                                                              • Deep dive learning of the automation process / capabilities acting as a TDI Automation expert
                                                              • +
                                                              • Collaborate with Manager to ensure strong Day 2 IA governance and controls, incident tracking, digital worker maintenance, support and change management
                                                              • +
                                                              • Develop and promote a culture of innovation and colleague development to create an environment dedicated to the future readying of colleagues’ digital and agile skills
                                                              • +
                                                              • Complete reoccurring and ad hoc benefits reporting by gathering operational metrics and supporting insights
                                                              • +
                                                              • Support overall program health by completing reviews of Process Detail Documents, SharePoint audits, gathering missing project artifacts, overseeing version control, and more
                                                              • +
                                                              • Identify opportunities for improvement to processes in production and supporting small scale deliverables
                                                              • +
                                                              • Role model behaviours consistent with TD’s Shared Commitments
                                                              • +

                                                              Additional Information

                                                              -

                                                              Flex Time & Flex Place

                                                              -

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              Early Talent Requirements

                                                              +

                                                              +
                                                                +
                                                              • This position is a 4-month work term and will commence May 1st – August 25th.
                                                              • +
                                                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                              • +
                                                              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                              • +
                                                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                              • +

                                                              Hours

                                                              @@ -40317,479 +39524,932 @@ d8e3fc9a-5715-4d12-8a67-a63caa2781e5,130372278,League,Senior Data Scientist,on_s

                                                              Inclusiveness

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              -
                                                              ",,https://jobs.td.com/en-CA/jobs/16190168/senior-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-14T21:12:07.571Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/136043504-senior-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16190168/senior-data-analyst-toronto-ca/,expired,2022-07-07T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2aa54bfb-8caa-45a9-9010-6ba80b9947bd,136551195,Clearpath,Software Developer Co-op (OS Team),on_site,"Ontario, Canada",2022-07-10T07:35:03.626Z,"

                                                              Description

                                                              Position at Clearpath Inc.

                                                              -

                                                              Position: Software Developer Co-op (OS Team)
                                                              Location: Kitchener, Ontario
                                                              Duration: Fall 2022
                                                              Student Level: Junior
                                                              Area of Study: Software Engineering/Computer Science

                                                              -

                                                              About OTTO™ Motors

                                                              -

                                                              OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com

                                                              -

                                                              -

                                                              About the job:

                                                              -

                                                              You will be joining the OS (Operating Systems) team responsible for bridging the gap between the mechanical machine, the autonomy stack and the fleet manager. In this team, you will have the opportunity to experience a very broad software stack ranging from middleware software applications to very high-level server functionality.

                                                              -

                                                              Your primary responsibility will be to tackle hard problems and have the opportunity to show your skills in a team of highly competent developers. To be successful, you will need to know the basics of coding in C++ and Python, and bonus points if you know ROS as well. You will also need to be able to understand enough of a complicated system that is a self-driving robot and figure out what you need to do to complete your tasks. You will need to be able to make progress independently as well as leverage your team’s knowledge to be most efficient. You’ll have the opportunity to test and validate your solutions on our fleet of test robots.

                                                              -

                                                              Additional tasks may include:

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/17470226/automation-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-05T17:29:07.320Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/177790984-automation-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470226/automation-analyst-intern-co-op-toronto-ca/,expired,2022-12-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, +9e7d99cb-893c-4462-9b6e-6ec81308bbdb,115686405,integrate.ai,Machine Learning Scientist - Privacy,on_site,Toronto,2022-03-20T05:06:06.720Z,"

                                                              At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released PowerFlow, an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                              +

                                                              We are looking for a Machine Learning Scientist (Privacy) to join our research team. This role delves into the art of the possible, and is neatly placed at the cross-section of cutting edge science and latest industry trends. It also represents a unique opportunity for someone who wants to work with a team of smart and passionate individuals committed to bringing new AI/ML products to the business enterprise world.

                                                              +

                                                              +

                                                              What you will be doing:

                                                              +
                                                                +
                                                              • Researching and developing adversarial machine learning models to better understand different types of privacy threats, and establishing the evaluation framework for the privacy risk of machine learning models in practice.
                                                              • +
                                                              • Researching and developing privacy preserving methods to protect our machine learning solutions against the privacy risk, and add privacy preserving capabilities to our platform/product.
                                                              • +
                                                              • Conduct experiments that focus on reproducibility and reliability to test out complex ideas.
                                                              • +
                                                              • Present and share research findings in a clear manner through integrate.ai’s internal technical reports (and when appropriate, share these findings through external outlets such as paper publications and conference presentations).
                                                              • +
                                                              +

                                                              You have:

                                                              +
                                                                +
                                                              • A Masters or PhD in Machine Learning, Applied Statistics, Computer Science, or a related quantitative discipline.
                                                              • +
                                                              • 5+ years of hands-on machine learning experience.
                                                              • +
                                                              • Expertise in at least one of the following areas: Adversarial machine learning, Cryptographic Approaches (e.g. homomorphic encryption), Perturbation Approaches (e.g. differential privacy).
                                                              • +
                                                              • High quality research publications and/or open-source projects.
                                                              • +
                                                              • Great proficiency in machine learning tools such as TensorFlow, PyTorch, Scikit Learn, Theano, Spark MLlib.
                                                              • +
                                                              +

                                                              +

                                                              The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                              +

                                                              We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                              ",,https://boards.greenhouse.io/integrateai/jobs/5812582002,feed-importer@jobboard.io,,,,2022-04-21T19:33:30.994Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/115686405-machine-learning-scientist-privacy-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/5812582002,expired,2022-03-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Masters Degree,New Posting, +f5b240b9-cdbe-4ff2-b884-301e71cb6324,116168379,Cohere AI,"Manager, Machine Learning",on_site,Toronto /,2022-03-22T05:06:04.341Z,"
                                                              +
                                                              Who are we?
                                                              +
                                                              We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                              +

                                                              +
                                                              We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                              +

                                                              +
                                                              We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                                              +

                                                              +
                                                              We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                              +

                                                              +
                                                              Why this role?
                                                              +
                                                              Cohere is seeking exceptional leaders to help develop and direct one of the top AI / ML / NLP teams in the world. In this role, you will hire and mentor world-class scientists and engineers. You will use your expertise in machine learning to define strategy and direction for the development of our core technology. You will lead your team in developing Transformer-based large language models which are smarter, faster, safer, and easier to use than any in the world. And you will apply this technology to develop solutions to real human needs.
                                                              +

                                                              +
                                                              +Please Note: We have offices in Toronto, Canada and Palo Alto, USA, but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                              +
                                                              +

                                                              As a Manager, Machine Learning, you will:

                                                              +
                                                                  +
                                                                • Build and manage a team of world-class Machine Learning Engineers
                                                                • +
                                                                • Develop and execute a long-term research strategy
                                                                • +
                                                                • Design and develop innovations to our core ML/NLP technology
                                                                • +
                                                                • Coordinate with partners in Platform and Product teams on strategic direction
                                                                • +
                                                                • Train large language models with unparalleled accuracy, speed, safety, and ease of use
                                                                • +
                                                              +
                                                              +

                                                              You may be a good fit if:

                                                              +
                                                                  +
                                                                • You have strong machine learning and NLP fundamentals
                                                                • +
                                                                • You have hands-on experience with Transformer-based neural network architectures
                                                                • +
                                                                • You have hands-on experience with large language models (LLMs) such as BERT and GPT-3
                                                                • +
                                                                • You have strong programming skills, especially in Python
                                                                • +
                                                                • You have demonstrated leadership in applied research and development
                                                                • +
                                                                • You have proven technology leadership skills like planning a technology roadmap
                                                                • +
                                                                • You are passionate about being a people manager and have experience hiring, coaching, assessing and managing performance
                                                                • +
                                                                • You have excellent written and verbal communication skills
                                                                • +
                                                                • You are comfortable presenting to large audiences and to execs
                                                                • +
                                                              +
                                                              +
                                                              If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                              +

                                                              +
                                                              We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                                              +

                                                              +
                                                              Our Perks:
                                                              +
                                                              🤝 An open and inclusive culture and work environment
                                                              +
                                                              🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                              +
                                                              🍽 Free daily lunch
                                                              +
                                                              🦷 Full health and dental benefits for employees based in Canada and the US, including a separate budget to take care of your mental health
                                                              +
                                                              🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                                              +
                                                              🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                              +
                                                              🏙 Remote-flexible, offices in Toronto and Palo Alto and coworking stipend
                                                              +
                                                              ✈️ 6 weeks of vacation and shared Canada/US holidays
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/cohere/c7e18a28-3d42-42bf-9416-d224d7b977ab,feed-importer@jobboard.io,,,,2022-04-21T19:39:00.000Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/116168379-manager-machine-learning-at-cohere-ai,https://jobs.lever.co/cohere/c7e18a28-3d42-42bf-9416-d224d7b977ab,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,Bachelors Degree,New Posting, +5a367624-9fde-4000-bbc1-80f3c1e44c52,116168388,EllisDon,Insights & Data Analytics Manager,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2022-03-22T05:06:06.238Z,"

                                                              Job Details

                                                              Description

                                                              +

                                                              Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                              +

                                                              Thinking about a change?

                                                              +

                                                              The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                                              +

                                                              Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                                              +

                                                              In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                                              +

                                                              You, as a Manager, Insights & Data Analytics will:

                                                                -
                                                              • Troubleshoot, address and validate issues.
                                                              • -
                                                              • Enhance existing components with new functionality.
                                                              • -
                                                              • Work collaboratively with a senior developer on a larger project.
                                                              • +
                                                              • + Manage and mentor an internal team of data professionals that provide analytical expertise for the entire organization (Analytics Centre of Excellence);
                                                              • +
                                                              • Draw on your extensive experience and knowledge in the areas of advanced analytics, data engineering, and data management to lead and coordinate data-centric projects and initiatives;
                                                              • +
                                                              • Collaborate with business stakeholders, engineers, and agile development teams to build innovative data-driven solutions that produce actionable insights to business partners;
                                                              • +
                                                              • Work closely with senior leadership and business stakeholders to identify and restructure business challenges into technical problems that are amenable to analytic solutions;
                                                              • +
                                                              • Provide guidance and oversight on the design and execution of custom data solutions, selection of tooling, and adoption of appropriate methodologies in response to internal or external client requirements;
                                                              • +
                                                              • As a change catalyst, formulate strategies to lead and navigate organizational improvements in the following areas: self-service business intelligence, data literacy, analytic maturity, and the overall state of data management;
                                                              • +
                                                              • Draw on your extensive experience and expertise to contribute towards the development and enhancement of best practices in key areas of: advanced analytics, data engineering, and data management;
                                                              • +
                                                              • +
                                                              -

                                                              Required Skills:

                                                              +

                                                              Sounds challenging and exciting right? Here are a few of the attributes and experience you need to be successful in this position:

                                                                -
                                                              • Ability to work independently with minimal supervision and manage deadlines independently.
                                                              • -
                                                              • Practical software development skills.
                                                              • -
                                                              • Team player, good communicator.
                                                              • -
                                                              • Experience with Linux.
                                                              • -
                                                              • Version control (Git).
                                                              • -
                                                              • Proficiency in C++ and Python.
                                                              • +
                                                              • Degree in Mathematics, Statistics, Engineering, Computer Science, or Data Management.
                                                              • +
                                                              • 8+ years of experience in a position managing, interrogating, and drawing insights from data.
                                                              • +
                                                              • 3+ years of experience in an analytics leadership capacity managing the processes and people responsible for data management, processing, modelling, and analysis.
                                                              • +
                                                              • Demonstrated experience designing, developing, and deploying business intelligence, big data, and machine learning solutions.
                                                              • +
                                                              • Knowledge and experience using analytical concepts, data mining principles, and statistical modelling techniques.
                                                              • +
                                                              • Expert-level proficiency and extensive experience with the following:
                                                                  +
                                                                • Data Analysis: SQL, NoSQL, Python, Excel;
                                                                • +
                                                                • Business Intelligence: Tableau, PowerBI, and/or DundasBI;
                                                                • +
                                                                • Data-Warehousing: Integrate (ETL/ELT), Manage (Schema Design), Query, Analyze;
                                                                • +
                                                                • Database: relational and non-relational;
                                                                • +
                                                                • Data Management and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                                                -

                                                                Helpful:

                                                                -
                                                                  -
                                                                • Unit testing, system-level testing, and continuous integration.
                                                                • -
                                                                • Bash, or other scripting experience.
                                                                • -
                                                                • Exposure to CMake, especially in a packaging or deployment context.
                                                                • -
                                                                • Experience with ROS, or other robotics middleware.
                                                                • -
                                                                • JIRA
                                                                • + +
                                                                • Practical working knowledge of the following areas:
                                                                    +
                                                                  • Agile Development Methodologies;
                                                                  • +
                                                                  • Data Architecture;
                                                                  • +
                                                                  • Cloud Services: (Google Cloud Platform, Azure);
                                                                  • +
                                                                  • Project Management Tools: JIRA, Wrike;
                                                                  -

                                                                  At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                              ",,http://jobs.jobvite.com/clearpath/job/otOTjfwd,feed-importer@jobboard.io,,,,2022-07-14T16:16:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136551195-software-developer-co-op-os-team-at-clearpath,,expired,2022-07-10T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, -badef876-3b2c-4b05-92db-cb5e250d9544,140714686,Clearpath,Systems Designer Co-op,on_site,"Ontario, Canada",2022-08-01T07:35:06.172Z,"

                                                              Description

                                                              -

                                                              Position: Systems Designer Co-op
                                                              Location: Kitchener, Ontario
                                                              Study Level: Senior
                                                              Area of study: Software Engineering/Hardware Engineering/ Systems Engineering/Mechatronics

                                                              -

                                                              About Clearpath Robotics Inc.

                                                              -

                                                              Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research products and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                              -

                                                              About OTTO™ Motors

                                                              -

                                                              OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com

                                                              -

                                                              About the Job

                                                              -

                                                              Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, machine learning, computer vision and more.

                                                              -

                                                              Systems Engineering is about creating something that is more than the sum of the parts. You will be responsible for using your varied experience and appropriate modelling and analytical methodologies to determine the solution to a product problem by applying the optimum combination of mechanical, electronic and software solutions. You will work directly with the other teams in the Software, Electronics, Test and Mechanical Design disciplines to interpret the product requirements and produce an integrated product. You will then be responsible for defining the specifications of the final product and validating that it meets the requirements.

                                                              -

                                                              Your primary responsibilities will be:

                                                              -
                                                                -
                                                              • Creating & maintaining a variety of engineering diagrams (Architecture, Context, State, Process/Swimlane) to communicate design intent
                                                              • -
                                                              • Collect, document and track status of System Requirements
                                                              • -
                                                              • Create test plans for requirement verification
                                                              • -
                                                              • Perform System validation testing
                                                              • + +
                                                              • Working knowledge of construction-related best practices and processes an asset;
                                                              -

                                                              Additional tasks may include:

                                                              +

                                                              +

                                                              EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                                              +

                                                              Go ahead and be yourself. We'll pay you for it!

                                                              +

                                                              We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                                              +

                                                              Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                                              +

                                                              We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                                              Qualifications

                                                              Skills

                                                              Behaviors

                                                              :

                                                              Motivations

                                                              :

                                                              Education

                                                              Experience

                                                              Licenses & Certifications

                                                              ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,feed-importer@jobboard.io,,,,2022-04-21T19:43:13.698Z,False,0,1,31,https://talenthub.vectorinstitute.ai/jobs/116168388-insights-data-analytics-manager-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,expired,2022-03-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Manager,Bachelors Degree,New Posting, +a4bce708-98e7-4ae5-a90e-2cfa7ffb6b0e,119944980,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2022-04-12T05:06:05.774Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 145794

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Purpose:

                                                              +

                                                              +

                                                              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                              +


                                                              The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use.
                                                              We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

                                                              +

                                                              +


                                                              Key Accountabilities:

                                                              +


                                                              • Design and implement services and components to enable enterprise-wide use of data
                                                              • Automate and re-factor services code.
                                                              • Participate in design discussions focused on scalability and design and implementation best practices.
                                                              • Work closely with software/data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
                                                              • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                              • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                              • Support and maintain a successful product

                                                              +

                                                              +


                                                              Functional Competencies:

                                                              +


                                                              • 5+ years’ experience in building enterprise software
                                                              • Solid grasp of Object-Oriented principles
                                                              • 5+ years’ experience with object-oriented programming languages (e.g. Scala, Python, Java)
                                                              • 3+ years’ experience working with big data technologies (e.g. Spark, Hive)
                                                              • Understanding of data management disciplines such as data quality, data profiling, etc.
                                                              • 3+ years’ experience working with relational databases (e.g. MySQL, PostgreSQL)
                                                              • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
                                                              • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
                                                              • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability, and readability
                                                              • Proven strong analytical design, troubleshooting and problem solving skills
                                                              • Experience with performance tuning data pipelines
                                                              • Strong communication skills, both written and spoken
                                                              • Team player, self-starter, fast learner
                                                              • Attention to details, high standards for quality
                                                              • Writing and maintaining clear documentation
                                                              • Previous experience working in a technology company or financial institution a plus

                                                              +

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-DevOps-Engineer-ON-M5C2V9/557694617/,feed-importer@jobboard.io,,,,2022-04-19T05:11:11.993Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/119944980-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-DevOps-Engineer-ON-M5C2V9/557694617/,expired,2022-04-12T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +21086792-7b38-4861-aa38-8109a1cc0890,122002663,EllisDon,Insights & Data Analytics Manager,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2022-04-22T05:06:06.029Z,"

                                                              Job Details

                                                              Description

                                                              +

                                                              Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                              +

                                                              Thinking about a change?

                                                              +

                                                              The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

                                                              +

                                                              Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                                              +

                                                              In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                                              +

                                                              You, as a Manager, Insights & Data Analytics will:

                                                                -
                                                              • Decomposition of product needs into system requirements
                                                              • -
                                                              • Identify gaps in the design vs the product expectations.
                                                              • -
                                                              • Analysis of product, it’s structure and interactions of subsystems
                                                              • +
                                                              • + Manage and mentor an internal team of data professionals that provide analytical expertise for the entire organization (Analytics Centre of Excellence);
                                                              • +
                                                              • Draw on your extensive experience and knowledge in the areas of advanced analytics, data engineering, and data management to lead and coordinate data-centric projects and initiatives;
                                                              • +
                                                              • Collaborate with business stakeholders, engineers, and agile development teams to build innovative data-driven solutions that produce actionable insights to business partners;
                                                              • +
                                                              • Work closely with senior leadership and business stakeholders to identify and restructure business challenges into technical problems that are amenable to analytic solutions;
                                                              • +
                                                              • Provide guidance and oversight on the design and execution of custom data solutions, selection of tooling, and adoption of appropriate methodologies in response to internal or external client requirements;
                                                              • +
                                                              • As a change catalyst, formulate strategies to lead and navigate organizational improvements in the following areas: self-service business intelligence, data literacy, analytic maturity, and the overall state of data management;
                                                              • +
                                                              • Draw on your extensive experience and expertise to contribute towards the development and enhancement of best practices in key areas of: advanced analytics, data engineering, and data management;
                                                              • +
                                                              • +
                                                              -

                                                              Required Skills:

                                                              +

                                                              Sounds challenging and exciting right? Here are a few of the attributes and experience you need to be successful in this position:

                                                                -
                                                              • Understanding of the Product Development Lifecycle
                                                              • -
                                                              • Exposure /Experience/Ability to work in a broad range of interdisciplinary departments: mechanical, electrical, software design and manufacturing
                                                              • -
                                                              • Strong Excel/Word/Powerpoint (or Google equivalents) skills
                                                              • -
                                                              • Excellent teamwork/communication skills
                                                              • -
                                                              • Experience with Visio/Lucidcharts or similar for creating Process and Block diagrams
                                                              • -
                                                              • Ability to independently develop high quality software solutions
                                                              • -
                                                              • Creative problem-solving skills, excellent analytical abilities and ability to work in a team
                                                              • -
                                                              • Demonstration of Systems thinking
                                                              • +
                                                              • Degree in Mathematics, Statistics, Engineering, Computer Science, or Data Management.
                                                              • +
                                                              • 8+ years of experience in a position managing, interrogating, and drawing insights from data.
                                                              • +
                                                              • 3+ years of experience in an analytics leadership capacity managing the processes and people responsible for data management, processing, modelling, and analysis.
                                                              • +
                                                              • Demonstrated experience designing, developing, and deploying business intelligence, big data, and machine learning solutions.
                                                              • +
                                                              • Knowledge and experience using analytical concepts, data mining principles, and statistical modelling techniques.
                                                              • +
                                                              • Expert-level proficiency and extensive experience with the following:
                                                                  +
                                                                • Data Analysis: SQL, NoSQL, Python, Excel;
                                                                • +
                                                                • Business Intelligence: Tableau, PowerBI, and/or DundasBI;
                                                                • +
                                                                • Data-Warehousing: Integrate (ETL/ELT), Manage (Schema Design), Query, Analyze;
                                                                • +
                                                                • Database: relational and non-relational;
                                                                • +
                                                                • Data Management and Quality: Informatica (Axon, EDC, IDQ) or similar.
                                                                -

                                                                Bonus points for:

                                                                -
                                                                  -
                                                                • Experience with 3D CAD software (pref. Solidworks)
                                                                • -
                                                                • Software development skills in modern C++/C# and python
                                                                • -
                                                                • Experience with ROS
                                                                • -
                                                                • Proficiency with Linux
                                                                • + +
                                                                • Practical working knowledge of the following areas:
                                                                    +
                                                                  • Agile Development Methodologies;
                                                                  • +
                                                                  • Data Architecture;
                                                                  • +
                                                                  • Cloud Services: (Google Cloud Platform, Azure);
                                                                  • +
                                                                  • Project Management Tools: JIRA, Wrike;
                                                                  -

                                                                  At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                              ",,http://jobs.jobvite.com/clearpath/job/opPTjfwa,feed-importer@jobboard.io,,,,2022-08-04T17:56:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/140714686-systems-designer-co-op-at-clearpath,,expired,2022-08-01T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, -e9ad2e06-0423-4bc3-b077-3bcb2e204209,141325371,Sun Life Financial,Senior Data Science Engineer,on_site,"Ontario, Canada",2022-08-03T07:26:03.120Z,"
                                                              -

                                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                              -

                                                              -

                                                              -

                                                              Job Description:

                                                              -

                                                              -

                                                              Role Summary

                                                              -

                                                              -

                                                              As a Senior Data Science Engineer, and a member of the Data and Analytics, Data and Engineering Operations team, you will utilize your knowledge in the data science stream to partner with internal and external clients to ensure the technology and process solutions delivered/supported meet their needs. This team thrives on challenges; we learn from each other and provide a rich environment where people can grow their skills. We strive to hire only the best, so you will be working with bright people in a dynamic and highly collaborative work environment.

                                                              -

                                                              -

                                                              What will you do?

                                                              -
                                                                -
                                                              • Design, develop and drive innovative Data and Analytics thinking, including Predictive Modelling, and Data Science application development

                                                              • -
                                                              • Implement innovative products which improve the analytics landscape

                                                              • -
                                                              • Design, develop, test, deploy and support workloads on AWS SageMaker models. In this role you can learn AWS Sagemaker if you have experience with other comparable cloud environment tools.

                                                              • -
                                                              • Develop automation code and provide fixes and improvements using Python/R

                                                              • -
                                                              • Review existing data science model code to identify areas for improvement, present findings to data scientists, and help to execute the recommendations

                                                              • -
                                                              • Prepare data from various internal sources for ingestion into the AWS SageMaker environment

                                                              • -
                                                              • Develop and support customized interactive Tableau dashboards for internal business partners. In this role you can learn Tableau by leveraging your current experience with other similar tools.

                                                              • -
                                                              • Deliver training materials and documentation that lay out processes for using various analytics toolsets

                                                              • -
                                                              • Work directly with a wide audience to structure analytical problems and approaches, and provide ongoing support, communication, and prompt resolution for data science products

                                                              • -
                                                              • Participate in provisioning and management of cloud-based enterprise Data and Analytics tools

                                                              • -
                                                              • Maintain current knowledge on Quantitative Analysis, Machine Learning and Analytics tools and techniques

                                                              • + +
                                                              • Working knowledge of construction-related best practices and processes an asset;
                                                              -

                                                              -

                                                              What do you need to succeed?

                                                              +

                                                              +

                                                              EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                                              +

                                                              Go ahead and be yourself. We'll pay you for it!

                                                              +

                                                              We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                                              +

                                                              Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                                              +

                                                              We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                                              Qualifications

                                                              Skills

                                                              Behaviors

                                                              :

                                                              Motivations

                                                              :

                                                              Education

                                                              Experience

                                                              Licenses & Certifications

                                                              ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002663-insights-data-analytics-manager-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=5189e2cf-2ab0-41b7-8350-69d792f517af,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Construction or Infrastructure,Manager,Bachelors Degree,New Posting, +1ac03889-7392-4120-a6ff-f480aab553e5,122002657,Scotiabank,Senior Data Analyst (Ottawa Hub),on_site,Canada : Ontario : Ottawa,2022-04-22T05:06:05.363Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 135270

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              +

                                                              The Team

                                                              +

                                                              The Global Fraud Technology team develops and manages innovative products designed to continuously strengthen the bank’s posture against the ever-changing Fraud threat landscape. We are part of the Global Engineering and Operations Functions team and we work in close partnership with our Fraud Business and key Technology Partners throughout Scotiabank to drive implementation of global products that will protect and strengthen the bank. We work with advanced technologies and are looking for key team members that have a passion to learn and deliver.

                                                              +

                                                              +

                                                              The Role

                                                              +

                                                              Global Fraud Technology Team is looking for an energetic and results-oriented Data Analyst to join our team to help in continuing to build and enhance our Business Intelligence capabilities.

                                                              +

                                                              We’re looking to fill our team with influencers, makers, creators and leaders who are flexible, curious, adventurous, versatile and responsive; and who are ready to roll up their sleeves in a collaborative and productive environment to get things done.

                                                              +

                                                              +

                                                              Some of the Key Accountabilities include:

                                                              +
                                                              • Conduct discovery sessions with business teams to understand and capture their processes, formulate alternative to improve productivity using analytics and automation, and define the related key performance indicators
                                                              • Take on assigned data mining, analysis, profiling, and modeling activities and complete them within competing priorities and deadlines
                                                              • Devise design alternatives for ingesting data for analytics, management reports and dashboards
                                                              • Complete data and access governance assessments for internal and external regulatory and legislative compliance
                                                              • Prepare test plans and test cases and conduct and coordinate quality assurance testing with end-users and obtain business acceptance sign off
                                                              • Prepare defined documentation where required within the framework of the project and solution delivery – including and not limited to requirements, process and data flow diagram, and data mapping
                                                              • Contribute to the story mapping, creating user stories, and furnishing user stories with details were needed
                                                              • Work closely with business stakeholders, product owner, and developers and addressing their ad-hoc data, information, and analysis requests
                                                              • +
                                                              +

                                                              +

                                                              What You Will Bring to Succeed

                                                              +
                                                              • You are curious and highly motivated to discover new relations in business data, understand and interpret data, tell the story of how it is used in business processes, and how to deliver business value by transforming it
                                                              • You have 5-7 years extensive knowledge of business intelligence tools and programming languages
                                                              • You have 5-7 years experience in working for large projects and have advanced experience with SQL, ETL, data analysis and profiling, data mapping, data modeling, data lakes, and analytics
                                                              • You are excellent in written and spoken English to clearly communicate complex issues and interface with all levels of the organization with ease
                                                              • You have excellent interpersonal, prioritization, and issues management skills for building strong collaborative relationships with stakeholders and coworkers
                                                              • You are highly organized, disciplined, and responsive in a fast paced and demanding environment
                                                              • You constantly and strongly demonstrate the core values that continuously advance the productivity of high-performing and self-organizing teams: respect, commitment, courage, openness, and focus
                                                              • +
                                                              +

                                                              +

                                                              The Workplace

                                                              +
                                                              • We are technology partners who help the business transform how our employees around the world work
                                                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                              • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                                              • We foster an environment of innovation and continuous learning
                                                              • We care about our people, allowing them to design how they work to deliver amazing results
                                                              • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                                                              • +
                                                              +

                                                              +

                                                              Scotiabank

                                                              +

                                                              As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              +

                                                              +

                                                              Is this Role not the Exact fit?

                                                              +

                                                              Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                                              +

                                                              +

                                                              #Ottawahub

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Ottawa

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Remote-Ottawa-Hub%29-ON/553336817/,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002657-senior-data-analyst-ottawa-hub-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Remote-Ottawa-Hub%29-ON/553336817/,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +dadffc71-bbe9-4d32-9cce-e46c0442ec7e,122002659,Scotiabank,Senior Data Scientist,on_site,Canada : Ontario : Toronto,2022-04-22T05:06:05.566Z,"

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Requisition ID: 148281

                                                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                              +

                                                              +

                                                              Purpose:

                                                              +

                                                              +

                                                              The Senior Data Scientist role in the Customer Insights, Data & Analytics team is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities, in partnership with global teams and business lines driving innovation and advanced analytics across the Enterprise. As part of the Advanced Analytics team, the Senior Data Scientist is responsible for developing, executing, and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive customer acquisition, retention, balance growth, crosssell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies. .

                                                              +

                                                              +

                                                              Accountabilities:

                                                              +

                                                              +

                                                              • Research, develop, and implement end-to-end machine learning production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.

                                                              +

                                                              • Apply statistical, analytical, and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.

                                                              +

                                                              • Lead strategy design thinking with business partners and stakeholders to identify and recommend opportunities based on data-driven solutions.

                                                              +

                                                              • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.

                                                              +

                                                              • Collaborate with Data engineering teams to deploy models and algorithms in production, across business lines and geographies

                                                              +

                                                              • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.

                                                              +

                                                              • Present results to business line stakeholders and help implement real data-driven changes

                                                              +

                                                              • Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions

                                                              +

                                                              • Support analytical use-case delivery, as well as customer/financial benefits tracking and communication

                                                              +

                                                              +

                                                              Requirements & Qualifications:

                                                              +

                                                              +

                                                              The candidate will be at the intersection of math/stats, computer science, communication, the business line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to drive innovation and digital transformation throughout the Bank and Corporate

                                                              +

                                                              • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)

                                                              +

                                                              • Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g. cross-sell, upsell, attrition, acquisition and lookalike models)

                                                              +

                                                              • Programming skills in Java, C++ or Python • Solid knowledge in machine Learning libraries in R, Python, Spark • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)

                                                              +

                                                              • Experience using visualization tools such as Tableau and Power BI would be an asset

                                                              +

                                                              • Ability to ingest and work with large volumes of structured and unstructured nontraditional data

                                                              +

                                                              • Working experience with machine learning and other AI techniques for strategy design

                                                              +

                                                              • Working knowledge of strategy optimization leveraging operations research principles would be an asset

                                                              +

                                                              • Strong collaboration skills with ability to translate technical knowledge into business value

                                                              +

                                                              +

                                                              +

                                                              Location(s): Canada : Ontario : Toronto

                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2W1/558476917/,feed-importer@jobboard.io,,,,2022-04-25T17:19:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/122002659-senior-data-scientist-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist-ON-M5C2W1/558476917/,expired,2022-04-22T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +77d5ff1e-71fd-4dfa-8e15-a53e427c8881,118547042,Loblaw Companies Ltd.,"Senior Analyst, Data Quality, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-04-04T18:00:14.276Z,"
                                                              +
                                                              +
                                                              +

                                                              Referred applicants should not apply directly to this role.

                                                              +

                                                              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                              +

                                                              +

                                                              +

                                                              Location:

                                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                              +

                                                              +

                                                              Inspired by food? Committed to excellent service? So are we.
                                                              At Loblaw, we are Food Lovers! We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                              We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                              Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                              +

                                                              +

                                                              Why is this role important?

                                                              +

                                                              What You'll Do:

                                                                -
                                                              • Post-Secondary degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another related field

                                                              • -
                                                              • Minimum of 3 years experience in using Python/R

                                                              • -
                                                              • At least 1 Year experience with containerization (Docker)

                                                              • -
                                                              • 2 years experience deploying Machine Learning model in a production environment

                                                              • -
                                                              • Experience working with code version control through git

                                                              • -
                                                              • Demonstrated quantitative, analytical, problem-solving, conceptual thinking skills, and data transformation and manipulation experience

                                                              • -
                                                              • -

                                                                Deep understanding of the following:

                                                                +
                                                              • Design and develop appropriate data quality solutions such as; data profiling discovery, data rules development, root cause analysis, proactive measures within a cloud or on-prem environment using world-class tools and technology
                                                              • +
                                                              • Drive Data Quality adoption & maturity through DQ capability improvements and change management activities
                                                              • +
                                                              • Elicit & translate business friendly rules to develop technical code within a data quality tool
                                                              • +
                                                              • Produce insights on current state data health to recommend data standards and rules required to monitor critical data
                                                              • +
                                                              • Provide proactive data quality recommendations to prevent issues from occurring
                                                              • +
                                                              • Collaborate with Data Stewards and Business & Technical stakeholders to assess, root cause and drive resolution of critical data quality issues as needed
                                                              • +
                                                              • Participate in auditing activities to provide root cause analysis and data issue remediation support as required
                                                              • +
                                                              • Consult with internal and external stakeholders to uphold data quality and data management best practices. Provide advisory and education to stakeholders as needed
                                                              • +
                                                              • Demonstrate CORE (Care, Ownership, Respect, Excellence) values
                                                              • +
                                                              • Other duties as required
                                                              • +
                                                              +

                                                              +

                                                              What You'll Bring:

                                                                -
                                                              • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components

                                                              • -
                                                              • Statistics, linear algebra, probability theory

                                                              • -
                                                              • Computer science fundamentals

                                                              • +
                                                              • 4-6 years of data quality work experience required
                                                              • +
                                                              • Post-secondary education in Statistics, Engineering, Business, Computer Science or related field of study degree preferred
                                                              • +
                                                              • Experience with data quality tools (Informatica Data Quality) and visualization tools (PowerBI) required
                                                              • +
                                                              • Proficient at writing complex queries and validating results using SQL and Python
                                                              • +
                                                              • Experience in cloud-based platform such as Google Cloud, Azure, Amazon Web Services required
                                                              • +
                                                              • Experience with using natural language processing and anomaly detection techniques for data quality activities an asset
                                                              • +
                                                              • Experience assessing data quality within noSQL database structures such as mongoDB and neo4j an asset
                                                              • +
                                                              • Strong prioritization and organizational skills required
                                                              • +
                                                              • Tenacious approach to effectively drive discussions and influence successful outcomes with stakeholders required
                                                              • +
                                                              • Ability to multi-task with strong attention to detail and analytical skills required
                                                              • +
                                                              • Advanced Productivity Tool skills (Excel, Word, PowerPoint, Confluence, Jira, Slack, SharePoint) required
                                                              - -
                                                            • Excellent verbal and written communication skills

                                                            • -
                                                            • Strong organizational and time management skills​

                                                            • +

                                                              +

                                                              What You Can Expect:

                                                              +

                                                              We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                              +

                                                              +

                                                              Other perks of joining Loblaw:

                                                              +
                                                                +
                                                              • Competitive compensation and benefits package
                                                              • +
                                                              • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                              • +
                                                              • A flexible work environment which values balance
                                                              • +
                                                              • Colleague Discount Program
                                                              • +
                                                              • Tuition reimbursement Program
                                                              • +
                                                              • Employee Share Ownership plan
                                                              • +
                                                              • Pension Plan
                                                              -

                                                              -

                                                              What will be nice to have?

                                                              +

                                                              +

                                                              If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                              +

                                                              +

                                                              We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                              +

                                                              +

                                                              +

                                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Employment Type:

                                                              Full time

                                                              +

                                                              +

                                                              Type of Role:

                                                              Regular

                                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                              +

                                                              +

                                                              Please Note:  
                                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                              +
                                                              +
                                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/118547042-senior-analyst-data-quality-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Quality--Data-Governance_R2000231155?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-04-04T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +4df6a222-8452-4a1a-b994-d911c3dd437f,117494130,Loblaw Companies Ltd.,"Senior Analyst, Data Governance",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-31T18:00:04.395Z,"
                                                              +
                                                              +
                                                              +

                                                              Referred applicants should not apply directly to this role.

                                                              +

                                                              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                              +

                                                              +

                                                              +

                                                              Location:

                                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                              +

                                                              +

                                                              Inspired by food? Committed to excellent service? So are we.
                                                              At Loblaw, we are Food Lovers!
                                                              We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                              We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                              Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                              +

                                                              +

                                                              Why is this role important?

                                                              +

                                                              Does working with some of Canada’s most versatile minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology & Analytics powers game-changing retail solutions, giving our customers the ability to live their lives well.

                                                              +

                                                              +

                                                              Come work with a team that values diverse ideas, prioritizes a culture of inclusion and develops our talent from within. Loblaw Technology & Analytics gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!

                                                              +

                                                              +

                                                              Sr. Analyst, Data Governance, Brampton, ON

                                                              +

                                                              The Data Governance team at Loblaw is hiring a Sr. Analyst, with a well-rounded experience with data. Working with the Director, Data Governance, the incumbent will lead and handle our Data Governance tooling to mature data management and achieve our ultimate goal of becoming a data-driven organization.

                                                              +

                                                              +

                                                              As a Sr. Analyst in the Data Governance team, you will have the opportunity to.....

                                                              +

                                                              +

                                                              What You'll Do:

                                                              +
                                                                +
                                                              • Perform research to resolve end-user needs and lead the product roadmap
                                                              • +
                                                              • Actively focusing on growing adoption of the tooling and reporting back on trends
                                                              • +
                                                              • Plan out and successfully facilitate any upgrades with respect to the tooling and help implement new features with our Technology Partners
                                                              • +
                                                              • Be a change agent for the tool, when changes come through, ensure change management best practices are being followed to successfully execute the change
                                                              • +
                                                              • Resolve any issues by working with our Technology Partners
                                                              • +
                                                              +

                                                              +

                                                              What You Bring

                                                              +
                                                                +
                                                              • 5 years of experience in a major services organization, with large-scale data or product management and oversight experience.
                                                              • +
                                                              • Post-secondary education in Marketing, Engineering, Computer Science or related field of study degree preferred
                                                              • +
                                                              • Proven product management skills, with design thinking & change management concepts and strategies, including communication and culture change
                                                              • +
                                                              • Proven track record of translating business requirements into a strategic roadmap
                                                              • +
                                                              • Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
                                                              • +
                                                              +

                                                              +

                                                              What Loblaw Offers You

                                                              +

                                                              +

                                                              We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located.

                                                              +

                                                              +

                                                              Here, you will find a phenomenal team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.

                                                              +

                                                              +

                                                              Loblaw colleagues also enjoy:

                                                              +
                                                                +
                                                              • Work Perks Program
                                                              • +
                                                              • On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office)
                                                              • +
                                                              • Tuition Reimbursement & Online Learning
                                                              • +
                                                              • Pension & Benefits
                                                              • +
                                                              • Paid Vacation
                                                              • +
                                                              +

                                                              +

                                                              If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

                                                              +

                                                              +

                                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                              +

                                                              +

                                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity where differences are valued and supported. Commitment to being an equal opportunity employer is a priority to us, and we encourage people from all backgrounds and identities to apply to our jobs.

                                                              +

                                                              Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

                                                              +

                                                              +

                                                              We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                              +

                                                              +

                                                              www.Loblaw.ca/careers

                                                              +

                                                              +

                                                              +

                                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Employment Type:

                                                              Full time

                                                              +

                                                              +

                                                              Type of Role:

                                                              Regular

                                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                              +

                                                              +

                                                              Please Note:  
                                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                              +
                                                              +
                                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Governance_R2000234892-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/117494130-senior-analyst-data-governance-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Analyst--Data-Governance_R2000234892-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-31T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, +8f43afdf-cb29-40cc-b060-dffbcb4bda8c,117080065,Loblaw Companies Ltd.,"Senior Manager, Data Engineering",on_site,"1 Presidents Choice Circle, Brampton, ON",2022-03-28T18:00:12.008Z,"
                                                              +
                                                              +
                                                              +

                                                              Referred applicants should not apply directly to this role.

                                                              +

                                                              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                              +

                                                              +

                                                              +

                                                              Location:

                                                              1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

                                                              +

                                                              +

                                                              Inspired by food? Committed to excellent service? So are we.
                                                              At Loblaw, we are Food Lovers!
                                                              We are committed to our Colleagues and Customers and work hard to create a culture that allows us to be our authentic selves while working as a Team. We know that clear communication, collaboration and teamwork is the key to having a successful workplace.

                                                              We're looking for talented colleagues who are excited about providing an exceptional shopping experience for customers and delighting them every step of the way!

                                                              Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

                                                              +

                                                              +

                                                              Why is this role important?

                                                              +

                                                              The Loblaw Technology and Analytics team is hiring a Data Acquisition Sr. Manager with experience in acquiring and developing data assets. Reporting to the Director, Data Acquisition, you will be responsible for implementing the company’s data acquisition strategy. Data acquisition is a critical enterprise function, and we are building an outstanding team that will help to transform the company.

                                                              +

                                                              +

                                                              The successful candidate will have experience working within a data acquisition organization at scale - developing the strategy for the enterprise and understand how to collaborate with business partners, vendors and data providers.

                                                              +

                                                              +

                                                              What You'll Do

                                                              +
                                                                +
                                                              • Build and lead the technical team within data acquisition
                                                              • +
                                                              • Responsible for defining and carrying out the technical strategy within data acquisition
                                                              • +
                                                              • Identify, investigate, negotiate and acquire external data assets to drive and enhance Loblaw’s Data, Insight and Analytics.
                                                              • +
                                                              • Test external data assets to ensure they meet the needs of internal collaborators
                                                              • +
                                                              • Coordinate onboarding and ingestion to take in Loblaw and third-party data assets
                                                              • +
                                                              • Build the accurate controls and documentation to ensure compliance and ethical use of the acquired content
                                                              • +
                                                              • Data Privacy compliance
                                                              • +
                                                              • Ongoing relationship management of strategic third party acquired accounts
                                                              • +
                                                              • Subject matter expertise to data vendor landscape and data valuation.
                                                              • +
                                                              • Collaborate with the Legal organization to ensure proper usage
                                                              • +
                                                              • Support the day-to-day needs of business customers including the analytic organization
                                                              • +
                                                              • Managing projects from the starting point to the final execution
                                                              • +
                                                              • Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information
                                                              • +
                                                              +

                                                              +

                                                              What You'll Bring

                                                              +
                                                                +
                                                              • University degree in a business, data or analytic field of study (e.g. Math, Computer Science, Business, Economics, Media, Finance)
                                                              • +
                                                              • Proven experience in data acquisition and data valuation – with 10+ years of overall experience in fields of data – data management; data operations; data quality
                                                              • +
                                                              • People management experience
                                                              • +
                                                              • Experience with Cloud platforms and virtual environments (GCP preferred)
                                                              • +
                                                              • Data programming experience (SQL, python, APIs)
                                                              • +
                                                              • ETL/ELT experience, handling various file formats (CSV, XML, JSON)
                                                              • +
                                                              • Strong Communication and interpersonal skills
                                                              • +
                                                              • Superb data and deal making skills – achieving business and financial objectives - influencing and building relationships at all levels with a spirit of teamwork
                                                              • +
                                                              • Ability to take initiative, multi-task and work in a fast-paced environment
                                                              • +
                                                              • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
                                                              • +
                                                              • Strong detail orientation is essential in this role
                                                              • +
                                                              • A Team player and self-starter
                                                              • +
                                                              +

                                                              +

                                                              What You Can Expect

                                                              +

                                                              We are a team of diverse and ambitious individuals, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

                                                              +

                                                              +

                                                              Other Perks Of Joining Loblaw

                                                              +
                                                                +
                                                              • Competitive compensation and benefits package
                                                              • +
                                                              • Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)
                                                              • +
                                                              • A flexible work environment which values balance
                                                              • +
                                                              • Colleague Discount Program
                                                              • +
                                                              • Tuition reimbursement Program
                                                              • +
                                                              • Employee Share Ownership plan
                                                              • +
                                                              • Pension Plan
                                                              • +
                                                              +

                                                              +

                                                              If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

                                                              +

                                                              We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

                                                              +

                                                              +

                                                              +

                                                              At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Employment Type:

                                                              Full time

                                                              +

                                                              +

                                                              Type of Role:

                                                              Regular

                                                              Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. 

                                                              +

                                                              +

                                                              Please Note:  
                                                              Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

                                                              +
                                                              +
                                                              ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000234684-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-04-11T18:05:18.414Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/117080065-senior-manager-data-engineering-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Senior-Manager--Data-Engineering_R2000234684-1?source=loblaw&utm_source=loblaw.ca&utm_medium=referral,expired,2022-03-28T18:00:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Manager,Bachelors Degree,New Posting, +2a63cc3c-dee4-49cf-af30-76e05e7677d5,116480245,CIBC,Virtual Career Fair - Analytics and Decision Science,on_site,"Ontario, Canada",2022-03-24T10:10:25.080Z,"
                                                              +
                                                              +
                                                              +

                                                              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                              +

                                                              +

                                                              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                              +

                                                              +

                                                              To learn more about CIBC, please visit CIBC.com

                                                              +

                                                              +

                                                              Job Description

                                                              +

                                                              +

                                                              We’re on a mission to build the relationship-focused bank of the future and we’re looking for the passionate collaborators, innovators, advisors, and leaders who can get us there. Our distinct culture is built on a shared commitment to do what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Because life at CIBC is not only what you do, but how you do it.

                                                              +

                                                              +

                                                              We would like to connect with candidates pursuing Analytics and Decision Science job opportunities in areas such as:

                                                                -
                                                              • Experience and/or training in Cloud platforms like AWS, MS Azure, and Google Cloud Platform

                                                              • -
                                                              • Experience writing SQL queries to analyze data and gather valuable insights

                                                              • -
                                                              • Understanding of agile teams and patterns

                                                              • -
                                                              • Strong understanding of agile teams (Scrum, Kanban etc.)

                                                              • -
                                                              • Working experience with Confluence and Jira

                                                              • -
                                                              • Experience with relational databases and data modeling techniques

                                                              • +
                                                              • Data and Reporting
                                                              • +
                                                              • Decision Science
                                                              • +
                                                              • Frontline and Distribution Analytics
                                                              • +
                                                              • Optimization
                                                              • +
                                                              • Product Analytics
                                                              • +
                                                              • Risk Analytics
                                                              -

                                                              -

                                                              Unique Requirements

                                                              +

                                                              +

                                                              Career Exploration Event

                                                              +

                                                              +

                                                              We’re hosting a virtual career exploration event where you’ll connect with team members, leaders and hiring managers in Analytics and Decision Science who are eager to share their stories with you. At this exclusive event, you’ll have the opportunity to:

                                                                -
                                                              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                              • -
                                                              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                              • +
                                                              • Learn more about career opportunities
                                                              • +
                                                              • Learn about our purpose, culture, and commitment to community
                                                              • +
                                                              • Ask our team members questions
                                                              -

                                                              -

                                                              What\'s in it for you?

                                                              +

                                                              +

                                                              Event Details:

                                                                -
                                                              • Great Place to Work® Certified in Canada and the US - 2022

                                                              • -
                                                              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                              • -
                                                              • Named “Best Places to Work” by Glassdoor - 2021

                                                              • -
                                                              • Canada Award for Excellence for Mental Health at Work - 2021

                                                              • -
                                                              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid

                                                              • -
                                                              • Competitive salary and bonus structure influenced by market range data

                                                              • -
                                                              • Pension, stock and savings programs to help build and enhance your future financial security

                                                              • -
                                                              • A friendly, collaborative, and inclusive culture

                                                              • -
                                                              • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                              • -
                                                              • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                              • -
                                                              • The opportunity to move along a variety of career paths with amazing networking potential

                                                              • +
                                                              • Date: Wednesday April 13th
                                                              • +
                                                              • Presentation and Panel Discussion: 4:30pm-5:30pm EST
                                                              • +
                                                              • Q&A : 5:30pm-6:00pm EST
                                                              • +
                                                              • Location: Microsoft Teams (access information to follow)
                                                              • +
                                                              • By Invitation Only
                                                              -

                                                              -

                                                              -

                                                              -

                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                              -

                                                              -

                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                              -

                                                              -

                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                              -

                                                              -

                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                              -

                                                              -

                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                              -

                                                              -

                                                              Salary Range:

                                                              74,900/74 900 - 125,900/125 900

                                                              -

                                                              Job Category:

                                                              IT - Technology Services

                                                              -

                                                              Posting End Date:

                                                              01/08/2022
                                                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Support-Engineer--Analytics_JR00062556?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-04T18:09:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/141325371-senior-data-science-engineer-at-sun-life-financial,,expired,2022-08-03T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -afed07b1-9553-4dc4-80e8-1c093b2b7ef0,135940785,Shopify Inc.,"Lead (Staff) Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-07-07T07:35:02.356Z,"

                                                              About the role

                                                              -

                                                              Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

                                                              +

                                                              +

                                                              To register for this event:

                                                                -
                                                              • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.

                                                              • -
                                                              • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?

                                                              • -
                                                              • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.

                                                              • -
                                                              • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.

                                                              • -
                                                              -

                                                              -

                                                              Qualifications

                                                                -
                                                              • An experienced technical leader with a proven track record of delivering impactful results.

                                                              • -
                                                              • Technical engineering background in one or more areas in the next section.

                                                              • -
                                                              • Experience with technical mentoring, coaching, and improving the technical output of the people around you.

                                                              • -
                                                              • Exceptional communication skills and ability to translate technical concepts into easy to understand language for our stakeholders.

                                                              • -
                                                              • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.

                                                              • +
                                                              • Click Apply
                                                              • +
                                                              • Enter your first name, last name and contact information
                                                              • +
                                                              • Upload your resume or input your LinkedIn profile URL
                                                              • +
                                                              • Once you have applied, a Talent Acquisition Partner will connect with you to discuss next steps
                                                              • +
                                                              • The Wednesday April 13th VCF is an invitation-only event
                                                              -

                                                              A Staff (Lead) Data Engineer would typically have 6-10 years of experience in one or more of the following areas:

                                                              +

                                                              +

                                                              +

                                                              What you need to know

                                                                -
                                                              • Experience with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)

                                                              • -
                                                              • Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)

                                                              • -
                                                              • Experience with cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                                                Experience with security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)

                                                              • -
                                                              • Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)

                                                              • -
                                                              • Experience building full-stack applications (Ruby/Rails, React, TypeScript)

                                                              • -
                                                              • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)

                                                              • -
                                                              • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)

                                                              • +
                                                              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                              • +
                                                              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                              • +
                                                              • CIBC is committed to doing our part to protect our team, our clients and our communities. We want to ensure we have a safe and healthy workplace, and we want to do our part to get through this pandemic. In keeping with this commitment, and as a condition of employment, CIBC requires all successful candidates to be fully vaccinated against COVID-19 as of their start date, or provide written proof of a medical exemption, or other substantiated accommodation request under applicable human rights legislation.

                                                              +

                                                              +

                                                              +

                                                              +

                                                              +

                                                              +

                                                              Job Location

                                                              Toronto-81 Bay, 10th Floor

                                                              Employment Type

                                                              Regular

                                                              +

                                                              Weekly Hours

                                                              37.5

                                                              Skills

                                                              +

                                                              -
                                                              -
                                                              -

                                                              As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

                                                              -

                                                              #LI-REMOTE

                                                              -

                                                              Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                              -

                                                              At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                              How we hire

                                                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                              Learn more about our hiring process -
                                                              -
                                                              -
                                                              -
                                                              ",,https://www.shopify.ca/careers/lead-staff-data-engineer-remote-canada_9356598e-1a12-4c7f-8133-f611f0c83cb5,feed-importer@jobboard.io,,,,2022-08-06T15:27:57.532Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/135940785-lead-staff-data-engineer-remote-canada-at-shopify-inc,,expired,2022-07-07T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -59beb6e7-4e99-4240-9c24-0055320db757,134678658,Deloitte,"Senior Consultant, Data Governance Specialist - Platform Implementation, Omnia AI",on_site,"Toronto, Ontario, Canada",2022-06-30T02:43:03.488Z,"

                                                              +
                                                              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Virtual-Career-Fair---Analytics-and-Decision-Science_2212873,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-04-11T16:30:00.000Z,False,0,6,29,https://talenthub.vectorinstitute.ai/jobs/116480245-virtual-career-fair-analytics-and-decision-science-at-cibc,,expired,2022-03-24T10:10:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,No Degree,New Posting, +c78564e1-12ee-48c6-b8f0-08283ede2913,118977523,TELUS,AI Product Manager,on_site,"Ontario, Canada",2022-04-07T07:33:05.442Z,"
                                                              +
                                                              +

                                                              Description

                                                              -

                                                              Job Type: Permanent
                                                              Primary Location: Toronto, Ontario, Canada
                                                              All Available Locations: Toronto

                                                              +

                                                              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                              -

                                                              Learn from deep subject matter experts through mentoring and on the job coaching
                                                              Be encouraged to deepen your technical skills…whatever those may be.
                                                              Be empowered to lead and have impact with clients, our communities and in the office.

                                                              +

                                                              The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                                              +

                                                              +

                                                              Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                              +

                                                              +

                                                              Here’s the impact you’ll make and what we’ll accomplish together

                                                              +


                                                              This is a senior role in the team where you will provide vision and strategic guidance to evolve from common statistical analysis to dynamic machine learning deployment. You’ll collaborate with teams across the company and help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.
                                                              As an AI Product Manager and Strategist, you will combine your expert knowledge of AI/Analytics with your strong business acumen to facilitate the development of world-class insight products.

                                                              +
                                                              -
                                                              -

                                                              -

                                                              At Deloitte we value the opportunity to network and build relationships with skilled individuals, even in periods where we are not actively hiring. If you would like to apply to this future opportunity role, and have the required qualifications, you can expect to be contacted by the recruitment team within a few days
                                                              Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                              +

                                                              Here\'s How

                                                              +
                                                                +
                                                              • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                              • +
                                                              • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                              • +
                                                              • Play the critical role of “translator” i.e. translating business problems into data problems.
                                                              • +
                                                              • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production.Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                              • +
                                                              • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                              • +
                                                              • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                              • +
                                                              • You\'re the missing piece of the puzzle
                                                              • +
                                                              • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                              • +
                                                              • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                              • +
                                                              • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                              • +
                                                              • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure.
                                                              • +
                                                              • You are well versed in software and AI development lifecycles, including ML Ops.
                                                              • +
                                                              • You are agile and have a bias for action, removing roadblocks to get results fast
                                                              • +
                                                              -

                                                              What will your typical day look like?

                                                              +

                                                              Great to Haves

                                                              -

                                                              As a Data Governance Specialist, you will play an active role throughout the entire engagement cycle, specializing in data solutions covering data governance, data quality, data classification, data lineage and data cataloging.

                                                              -

                                                              Specifically, you will:
                                                              • Work with cross-functional stakeholders including executives, IT representatives, business leaders and the analytics/AI user community to understand data challenges and identify solutions for remediation
                                                              • Define data governance operating models and implement data governance frameworks
                                                              • Develop data policies, processes, and standards
                                                              • Plan/schedule tasks, coordinate client sessions, manage project management plan and report progress

                                                              +
                                                                +
                                                              • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                              • +
                                                              • Experience with agile methodology and work in a start-up environment
                                                              • +
                                                              • GCP or other cloud certifications
                                                              • +
                                                              • Experience in Management Consulting
                                                              • +
                                                              • Product Management/Ownership, Scrum Master
                                                              • +
                                                              +


                                                              +
                                                              ",,https://careers.telus.com/job/Toronto-AI-Product-Manager-ON/556216117/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/118977523-ai-product-manager-at-telus,,expired,2022-04-07T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,PhD,New Posting, +1032da24-dab1-4e3a-8197-276f46b3952b,119733928,TELUS,"Manager, Data Science",on_site,"Ontario, Canada",2022-04-10T07:33:07.757Z,"
                                                              -

                                                              About the team

                                                              +

                                                              Description

                                                              -

                                                              Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                              -

                                                              As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                              +

                                                              Join our team

                                                              +

                                                              +

                                                              We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                              +

                                                              +

                                                              We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                              +

                                                              +

                                                              Here’s how

                                                              +

                                                              +

                                                              You will lead a team of data experts (Data Engineers, Data Scientists and Data Analysts) to drive solutions in collaboration with our marketing, sales, business solutions, security, privacy teams and TELUS-wide AI focused teams. Building on our existing strengths in privacy, analytics and strategy, and architecture, you will:

                                                              +

                                                              +
                                                                +
                                                              • Communicate with various stakeholders, identify use cases, data requirements and test hypotheses.
                                                              • +
                                                              • Develop technical domain knowledge, operationalize the application of AI insights and decision making and manage our team’s delivery lifecycle and business models.
                                                              • +
                                                              • Inspire and motivate team members to drive high performance, take calculated risks, drive sound business decision making and quality outcomes.
                                                              • +
                                                              • Evolve our underlying data pipeline to deploy reusable and scalable algorithms in partnership with privacy and security functions.
                                                              • +
                                                              • Perform analysis/evaluation of proposed specific use cases: economic, technology, return on investment, sensitivity etc…
                                                              • +
                                                              • Manage capital/operational budgets and headcount while balancing between the needs and targets of the team versus the evolving fiscal environment of the business.
                                                              • +
                                                              • Empower and help team members to resolve complex technical, process and business roadblocks.
                                                              • +
                                                              -

                                                              Enough about us, let’s talk about you

                                                              +

                                                              Qualifications

                                                              +

                                                              -

                                                              You are someone with:

                                                              -

                                                              • Excellent interpersonal relations and demonstrated ability to work with others effectively in teams while endorsing leadership role
                                                              • Attention to detail and commitment to deliver high-quality work products with impeccable verbal and written communication skills
                                                              • Agile delivery experience
                                                              • 2+ years implementation experience with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management
                                                              • 2+ years implementation experience with data governance technologies such as Collibra, Informatica EDC/AXON, Alation and/or IBM IGC
                                                              • Understanding of data architecture, data warehousing, data lake and cloud architectures
                                                              • Bachelor’s degree preferably in quantitative areas such as Computer Science or Information Management

                                                              +

                                                              You’re the missing piece of the puzzle

                                                              -

                                                              If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                              +
                                                                +
                                                              • AI Technology & Data Engineering Expertise: Deep technical knowledge and 3+ years’ experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                              • +
                                                              • Team Leadership: You have 3+ years of experience in a role managing people. Excellent communicator with a track record of building strong teams, driving a culture of high engagement, and delivering outstanding program results.
                                                              • +
                                                              • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                              • +
                                                              • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                                                              • +
                                                              • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                              • +
                                                              • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                                                              • +
                                                              • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                                                              • +
                                                              +

                                                              +

                                                              Great-to-haves

                                                              +

                                                              +
                                                                +
                                                              • MBA (Master in Business Administration)
                                                              • +
                                                              • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                                                              • +
                                                              • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                                                              • +
                                                              • Strong knowledge of industry pressures in the telecommunications industry
                                                              • +
                                                              +
                                                              ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/119733928-manager-data-science-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, +422ccc67-5264-40f4-b829-e3b79fb09b6c,114036071,BenchSci,Senior Software Engineer - Data (Remote),on_site,"Toronto, Ontario /",2022-03-11T05:06:11.346Z,"
                                                              +
                                                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                              +

                                                              +
                                                              We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. On the BenchSci Data team, you will work with a group of talented and passionate engineers as you play a key role in shaping the future of scientific discovery and progress.
                                                              +
                                                              +

                                                              You will:

                                                              +
                                                                  +
                                                                • Scale data pipelines to allow our data to go from research to platform as fast as possible
                                                                • +
                                                                • Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
                                                                • +
                                                                • Develop data access mechanisms for downstream applications consumption
                                                                • +
                                                                • Expand the types of biological reagents and experiments that we can successfully extract from various types of media
                                                                • +
                                                                • Manage sources that contain both semi-structured and unstructured data
                                                                • +
                                                                • Apply state-of-the-art data processing engines to rapidly process our data sets
                                                                • +
                                                                • Employ best practices for a broad platform of technologies within a cloud-based environment
                                                                • +
                                                                • Provide troubleshooting analysis and resolution in a timely manner
                                                                • +
                                                                • Work on projects involving some of the largest pharmaceutical companies in the world
                                                                • +
                                                                • Solve difficult problems and bring new perspectives to the team
                                                                • +
                                                                • Have opportunities to work both independently and in pair-programming settings
                                                                • +
                                                              +
                                                              +

                                                              You have:

                                                              +
                                                                  +
                                                                • 5+ years of experience working as a professional developer
                                                                • +
                                                                • Expertise with Python and SQL
                                                                • +
                                                                • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                                                • +
                                                                • Experience with data processing engines (we use Beam)
                                                                • +
                                                                • A strong background in data structures and large-scale data manipulation
                                                                • +
                                                                • Familiarity with information retrieval theory and practical applications of it
                                                                • +
                                                                • Strong cross-team communication and collaboration skills
                                                                • +
                                                              +
                                                              +

                                                              Nice to haves, but not mandatory qualifications:

                                                              +
                                                                  +
                                                                • Work or academic experience in the life sciences
                                                                • +
                                                                • Experience with Kubernetes in production
                                                                • +
                                                                • Experience with Infrastructure-as-code
                                                                • +
                                                                • Experience with technical design and applying architectural patterns
                                                                • +
                                                                • Experience with statistical analysis of large datasets
                                                                • +
                                                              +
                                                              +

                                                              +

                                                              +
                                                              Benefits and Perks:
                                                              +
                                                              An engaging remote-first culture that hires the best talent from around the world
                                                              +
                                                              A competitive compensation package that includes BenchSci equity options
                                                              +
                                                              Comprehensive health and dental benefits with an emphasis on mental health
                                                              +
                                                              An annual Executive Health Assessment at Medcan for proactive health awareness
                                                              +
                                                              Three weeks of vacation plus an additional day for every completed year
                                                              +
                                                              A $2000 Annual Learning & Development budget
                                                              +
                                                              Generous parental leave benefits with a top-up plan or paid time off options
                                                              +
                                                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                              +
                                                              A $1000 work from home allowance to make your home setup perfect for you
                                                              +
                                                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                              +
                                                              An executive coach for managers to assist in leading high-performing teams
                                                              +
                                                              Complimentary Headspace account to support mental wellness and focus
                                                              +
                                                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                              +

                                                              +
                                                              Our Culture:
                                                              +
                                                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                              +

                                                              +
                                                              Diversity, Equity, and Inclusion:
                                                              +
                                                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                              +

                                                              +
                                                              Accessibility Accommodations:
                                                              +
                                                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                              +

                                                              +
                                                              #LI-Remote
                                                              +
                                                              ",,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-13T16:18:40.194Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/114036071-senior-software-engineer-data-remote-at-benchsci,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-03-10T21:45:02.646Z,"
                                                              Available Locations
                                                              Vancouver

                                                              What\'s the opportunity?

                                                              +
                                                              +

                                                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                                                              +

                                                              +

                                                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                                                              +

                                                              Your responsibilities include:

                                                              +
                                                                +
                                                              • Designing, building, and improving machine learning-based software solutions
                                                              • +
                                                              • Collaborating with research and business teams to converge on the best solutions
                                                              • +
                                                              • Optimizing algorithms and prototypical solutions for efficient implementation
                                                              • +
                                                              • Supporting projects with thorough documentation of usage, design decisions and capabilities
                                                              • +
                                                              +

                                                              You\'re our ideal candidate if you:

                                                              +
                                                                +
                                                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                                                              • +
                                                              • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                                                              • +
                                                              • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                                                              • +
                                                              • Familiarity with the Unix command line and bash scripting
                                                              • +
                                                              • Familiarity with RDBMS and/or NoSQL graph databases
                                                              • +
                                                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                              • +
                                                              -

                                                              Why Deloitte?

                                                              -

                                                              Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                              -
                                                              • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                              • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                              • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                              • +

                                                                What\'s in it for you?

                                                                +
                                                                  +
                                                                • Build cutting-edge software solutions that impact millions of users
                                                                • +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                                -


                                                                The next step is yours

                                                                -

                                                                Sound like The One Firm. For You?

                                                                -

                                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                                -

                                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:08:27.737Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/113752279-machine-learning-software-engineer-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +01437e70-efed-498a-a06e-5c2e107de360,113752271,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-03-10T21:45:02.150Z,"

                                                              What\'s the opportunity?

                                                              +
                                                              +

                                                              We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                                              -

                                                              Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                              -

                                                              ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-Data-Governance-Specialist-Platform-Implementation%2C-Omnia-AI-ON/877148500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-07-30T15:08:59.570Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/134678658-senior-consultant-data-governance-specialist-platform-implementation-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-Data-Governance-Specialist-Platform-Implementation%2C-Omnia-AI-ON/877148500/,expired,2022-06-30T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -0da53e0d-014d-4e06-b356-3518aeb42088,136005388,RBC,"Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-07-07T12:53:03.886Z,"
                                                              -

                                                              Come Work with Us!

                                                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                              -

                                                              Job Title

                                                              Manager, Data Insight Analytics

                                                              -

                                                              -

                                                              Job Description

                                                              -

                                                              What is the opportunity?

                                                              -

                                                              -

                                                              Our team is the Digital Intelligence Group. We are here to help RBC build best-in-class digital products, optimize client experience, and drive business outcomes through improved use of analytics.

                                                              -

                                                              -

                                                              In this role of Manager, Data Insight Analytics, you will have the opportunity to apply analytics to the point of client interaction with the Digital Products of RBC. You will be responsible for supporting the end-to-end implementation of the analytics lifecycle: data collection, deep dive insight analytics, reporting and presentations.

                                                              -

                                                              -

                                                              You will work with Digital Channels and Products for personal and business clients including Mobile, Online Banking, Direct Investing, NOMI and RBC Rewards. You will structure and complete analyses, uncover insights, develop net new data assets, and build dashboards and model data that will enable data-driven decisions.

                                                              -

                                                              -

                                                              What do you need to succeed?

                                                              -

                                                              Must-have

                                                              -
                                                                -
                                                              • BA/BSc or above in mathematics, economics, statistics, computer science or related quantitative field
                                                              • -
                                                              • 5+ years of experience in related digital product development, data analyst or data mining role
                                                              • -
                                                              • Intellectual curiosity and enthusiasm for advancing digital analytics and products
                                                              • -
                                                              • Advanced experience with Python or Scala and PowerPoint
                                                              • -
                                                              • Experience with Jupyter Notebooks, Google Analytics, Data Studio, Tableau or comparable data visualization tools
                                                              • -
                                                              • Hands-on knowledge of agile methodologies Github and JIRA
                                                              • -
                                                              • Structured thinking: developing an end-to-end analysis plans to tackle ambiguous and open-ended business problems
                                                              • -
                                                              • Stakeholder management skills: ability to inform and influence stakeholders through data, build relationships, communicate early and often
                                                              • -
                                                              • High agency: figuring out a way to get the job done, pushing through in the face of imperfect conditions or managing to reverse adverse conditions to achieve goals
                                                              • -
                                                              -

                                                              -

                                                              Nice-to-have

                                                              -
                                                                -
                                                              • Strong understanding of AWS Big Data services such as Amazon S3, EMR and Glue
                                                              • -
                                                              • Knowledge in areas of data modeling, data orchestration and data pipeline
                                                              • -
                                                              -

                                                              -

                                                              What will you do?

                                                              -
                                                                -
                                                              • -Insights and Analytics:
                                                                  -
                                                                • Design, oversee and deliver analytics on client and prospect data sets to study demographics, behaviors, and business outcomes
                                                                • -
                                                                • Use data mining and a variety of analytical methods (descriptive, diagnostic and predictive) such as time series analysis, segmentation and hypothesis testing to find actionable insights
                                                                • -
                                                                • Based on evidence, make recommendations to leadership and stakeholders to support product development strategies and drive decisions
                                                                • -
                                                                • Help implement re-usable analytics frameworks for use across Digital data
                                                                • -
                                                                -
                                                              • -
                                                              • -Data Collection/ Ingestions/ Acquisition:
                                                                  -
                                                                • Collaborate with data developers, DevOps, data engineers and cloud engineers to implement new data collection/ingestion/acquisition
                                                                • -
                                                                • Support business stakeholders in identifying needs for additional data acquisitions, and coordinate plans to orchestrate data acquisitions
                                                                • -
                                                                • Develop templates and systems for repeatable processes
                                                                • -
                                                                -
                                                              • -
                                                              • Digital Product Reporting and Presentations:
                                                              • -
                                                              -
                                                                -
                                                              • Define, communicate and enforce reporting and analytics standards, policies and data governance
                                                              • -
                                                              • Deliver clear, concise and timely reports and presentations identifying trends, issues and opportunities
                                                              • -
                                                              • Construct presentations in story format and deliver them to partners across the organization
                                                              • -
                                                              -
                                                              • -Stakeholder Consultancy:
                                                                  -
                                                                • Actively support relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems
                                                                • -
                                                                • Digest complex problems and organize into achievable milestones
                                                                • -
                                                                • Manage stakeholder expectations and keeps them up-to-date with progress on deliverables
                                                                • -
                                                                • Apply expertise and think creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine
                                                                • -
                                                                -
                                                              -

                                                              -

                                                              -

                                                              What’s in it for you?

                                                              -
                                                                -
                                                              • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                              • -
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                              • -
                                                              • Leaders who support your development through coaching and managing opportunities
                                                              • -
                                                              • Ability to make a difference and lasting impact
                                                              • -
                                                              • Work in a dynamic, collaborative, progressive, and high-performing team
                                                              • -
                                                              • A world-class training program in financial services
                                                              • -
                                                              • Flexible work/life balance options
                                                              • -
                                                              • Opportunities to do challenging work
                                                              • -
                                                              • Opportunities to take on progressively greater accountabilities
                                                              • -
                                                              • Opportunities to building close relationships with clients
                                                              • -
                                                              • Access to a variety of job opportunities across business and geographies
                                                              • -
                                                              -

                                                              -

                                                              -

                                                              -

                                                              -

                                                              -

                                                              -

                                                              Job Summary

                                                              -

                                                              Address:

                                                              TORONTO, Ontario, Canada

                                                              City:

                                                              CAN-ON-TORONTO

                                                              Country:

                                                              Canada

                                                              Work hours/week:

                                                              37.5

                                                              Employment Type:

                                                              Full time

                                                              Platform:

                                                              Personal and Commercial Banking

                                                              Job Type:

                                                              Regular

                                                              Pay Type:

                                                              Salaried

                                                              Posted Date:

                                                              2022-06-09-07:00

                                                              Application Deadline:

                                                              2022-07-30-07:00
                                                              -

                                                              Inclusion and Equal Opportunity Employment

                                                              -

                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                              ​​​​​​​
                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                              -
                                                              -

                                                              Join our Talent Community

                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                              -
                                                              ",,https://jobs.rbc.com/ca/en/job/R-0000016120/Manager-Data-Insight-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-08-01T12:58:07.365Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/136005388-manager-data-insight-analytics-at-rbc,,expired,2022-07-07T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -cb92be7f-ffb2-45e8-afcb-7d9bce963eac,138390019,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-07-20T23:05:03.882Z,"

                                                              Job Description

                                                              Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                                              -

                                                              Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                                              -

                                                              In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                                              -

                                                              An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                                              -

                                                              Experience in large data and platform modernizations/reengineering/migrations desirable.

                                                              -

                                                              Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                                              -

                                                              Excellent written and spoken communications skills in English and/or French.

                                                              +

                                                              As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                                              +

                                                              Your responsibilities include:

                                                              +
                                                                +
                                                              • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                                              • +
                                                              • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                                              • +
                                                              • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                                              • +
                                                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                              • +
                                                              • Grow and develop the team, helping each team member advance in their career.
                                                              • +
                                                              +

                                                              You\'re our ideal candidate if you:

                                                              +
                                                                +
                                                              • Have 7+ years of experience delivering software projects to production;
                                                              • +
                                                              • Have experience managing a team of engineers;
                                                              • +
                                                              • Have experience developing modular, robust, scalable software in a modern programming language;
                                                              • +
                                                              • Experience working with business, product and other technical teams;
                                                              • +
                                                              • Experience with scaling and performance of large systems;
                                                              • +
                                                              • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                                              • +
                                                              • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                                              • +
                                                              • Have background in machine learning or a related field;
                                                              • +
                                                              • Experience with Capital Markets or any financial domain is a big plus.
                                                              • +
                                                              +
                                                              +

                                                              What\'s in it for you?

                                                              +
                                                                +
                                                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                              • +
                                                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                              • +
                                                              • Leaders who support your development through coaching and managing opportunities;
                                                              • +
                                                              • Ability to make a difference and lasting impact from a local-to-global scale.
                                                              • +
                                                              +

                                                              About Borealis AI

                                                              +

                                                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                              +

                                                              Inclusion and Equal Opportunity Employment

                                                              +

                                                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                              ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:09:41.141Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/113752271-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +83803599-34d4-4935-8165-9b79079e5c48,119896678,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-11T21:02:08.326Z,"
                                                              +

                                                              Company Overview

                                                              +
                                                              +

                                                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                              +

                                                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                              +
                                                              +

                                                              +

                                                              Department Overview

                                                              +
                                                              +

                                                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                              +

                                                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                              +

                                                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                              +
                                                              +

                                                              +

                                                              Job Description

                                                              +
                                                              +

                                                              Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                                              +

                                                              If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                                              +

                                                              As a Business Information Management Data Practitioner, you will:

                                                              +
                                                                +
                                                              • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                              • +
                                                              • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                              • +
                                                              • Engage in business and data requirements to develop complete business solutions
                                                              • +
                                                              • Design and implement complex business data information management frameworks
                                                              • +
                                                              • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                                              • +
                                                              • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                                              • +
                                                              • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                              • +
                                                              +
                                                              +

                                                              +

                                                              Requirements

                                                              +
                                                              +

                                                              Potential Candidates interested in this role should have:

                                                              +
                                                                +
                                                              • Undergraduate degree or technical certificate in a relevant field
                                                              • +
                                                              • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                              • +
                                                              • Experience in data programming languages, patterns and design principles
                                                              • +
                                                              • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                              • +
                                                              • Expertise in data storage and movement, including relational and big data
                                                              • +
                                                              • Strong analytical and problem-solving skills
                                                              • +
                                                              • In-depth knowledge of competitor and market trends
                                                              • +
                                                              • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                              • +
                                                              • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                              • +
                                                              • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                              • +
                                                              • Act as a brand champion for our business area / function and TD, both internally and externally
                                                              • +
                                                              +

                                                              +

                                                              Additional Information

                                                              +
                                                              +Data engineering:

                                                              +
                                                                +
                                                              • Degree in Computer Science
                                                              • +
                                                              • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                              • +
                                                              +

                                                              #dataengineer
                                                              Locations:

                                                              +
                                                                +
                                                              • Toronto
                                                              • +
                                                              • Montreal
                                                              • +
                                                              • Markham
                                                              • +
                                                              • London
                                                              • +
                                                              • Ottawa
                                                              • +
                                                              • New Jersey, USA
                                                              • +
                                                              • Delaware, USA
                                                              • +
                                                              +
                                                              * L7- L10
                                                              +

                                                              -

                                                              - -


                                                              -

                                                              Qualifications

                                                              Qualifications
                                                              8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                                              3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                                              Experience developing or migrating Spark workloads
                                                              Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                                              Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                                              Strong written communication skills. Is effective and persuasive in both written and oral communication
                                                              Secret Security clearance Eligibility desirable.

                                                              -
                                                              -
                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement

                                                              -

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              -

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              -

                                                              Requesting An Accommodation

                                                              -

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              -

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              -

                                                              Other Employment Statements

                                                              -

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              -

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-08-02T01:59:02.763Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/138390019-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-07-20T23:05:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -b443690b-b44c-463f-bef1-a2b2deac7273,137048719,Accenture,Data Science Senior Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-07-13T22:46:06.342Z,"

                                                              Job Description

                                                              -

                                                              We Are
                                                              The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                                                              -

                                                              -

                                                              You Are
                                                              An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                                                              -

                                                              -

                                                              What You’ll Do
                                                              • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                                                              • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                                                              • Lead multiple teams and engagements to engineer & deliver value for clients
                                                              • Play an active role building a practice including capability development, recruitment, and mentorship
                                                              • Help drive the innovation agenda, including thought leadership publication
                                                              • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI



                                                              Qualifications

                                                              -

                                                              What We’re Looking For
                                                              • Extensive experience engaging with client senior leadership on complex business problems
                                                              • Expertise developing solution offerings and communicating findings to executive audiences
                                                              • Well versed with managing data science teams and engagements, and providing technical leadership
                                                              • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                                                              • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                                                              -

                                                              English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

                                                              -

                                                              -

                                                              Bonus Point If
                                                              • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                              • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                              • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                                                              • A blend of data science capability, industry and consulting expertise
                                                              • High initiative and a desire/ability to persist through obstacles/ambiguity
                                                              • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas

                                                              -

                                                              Locations

                                                              Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal

                                                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                              -
                                                              -

                                                              Equal Employment Opportunity Statement

                                                              -

                                                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                              -

                                                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                              -

                                                              Requesting An Accommodation

                                                              -

                                                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                              -

                                                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                              -

                                                              Other Employment Statements

                                                              -

                                                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                              -

                                                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-08-02T01:59:02.763Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/137048719-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,expired,2022-07-13T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, -491b8590-2f0e-486a-91c1-516a3369c015,137840214,Sun Life Financial,Senior Data Science Engineer,on_site,"Ontario, Canada",2022-07-18T07:26:02.638Z,"
                                                              +

                                                              Hours

                                                              +
                                                              37.5
                                                              +

                                                              +

                                                              Inclusiveness

                                                              +

                                                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                              +

                                                              +
                                                              ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-04-14T21:07:12.947Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/119896678-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +8bde3ef8-5d49-4f58-bbde-f0cfa5dc34ce,119809553,Sun Life Financial,Business Data Analyst,on_site,"Ontario, Canada",2022-04-11T07:26:03.751Z,"

                                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                              Job Description:

                                                              -

                                                              Role Summary

                                                              +

                                                              The Corporate Applications Services (CAS) /Finance Shared Services team is looking for a Business Data Analyst (SAP) role with adequate analytical skills and business systems to become a member of the Finance Shared Services team and be part of the SAP COE(Centre of Excellence), support organization going forward.

                                                              -

                                                              As a Senior Data Science Engineer, and a member of the Data and Analytics, Data and Engineering Operations team, you will utilize your knowledge in the data science stream to partner with internal and external clients to ensure the technology and process solutions delivered/supported meet their needs. This team thrives on challenges; we learn from each other and provide a rich environment where people can grow their skills. We strive to hire only the best, so you will be working with bright people in a dynamic and highly collaborative work environment.

                                                              +

                                                              In this position, you will serve as the primary resource for SAP General Ledger, Group Reporting & Business Warehouse applications (including Master Data, Chart of Values & Reporting Hierarchies) pertaining to operation support and project initiatives reporting to the Manager Business System Analysis.

                                                              What will you do?

                                                                -
                                                              • Design, develop and drive innovative Data and Analytics thinking, including Predictive Modelling, and Data Science application development

                                                              • -
                                                              • Implement innovative products which improve the analytics landscape

                                                              • -
                                                              • Design, develop, test, deploy and support workloads on AWS SageMaker models. In this role you can learn AWS Sagemaker if you have experience with other comparable cloud environment tools.

                                                              • -
                                                              • Develop automation code and provide fixes and improvements using Python/R

                                                              • -
                                                              • Review existing data science model code to identify areas for improvement, present findings to data scientists, and help to execute the recommendations

                                                              • -
                                                              • Prepare data from various internal sources for ingestion into the AWS SageMaker environment

                                                              • -
                                                              • Develop and support customized interactive Tableau dashboards for internal business partners. In this role you can learn Tableau by leveraging your current experience with other similar tools.

                                                              • -
                                                              • Deliver training materials and documentation that lay out processes for using various analytics toolsets

                                                              • -
                                                              • Work directly with a wide audience to structure analytical problems and approaches, and provide ongoing support, communication, and prompt resolution for data science products

                                                              • -
                                                              • Participate in provisioning and management of cloud-based enterprise Data and Analytics tools

                                                              • -
                                                              • Maintain current knowledge on Quantitative Analysis, Machine Learning and Analytics tools and techniques

                                                              • -
                                                              -

                                                              -

                                                              What do you need to succeed?

                                                              -
                                                                -
                                                              • Post-Secondary degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another related field

                                                              • -
                                                              • Minimum of 3 years experience in using Python/R

                                                              • -
                                                              • At least 1 Year experience with containerization (Docker)

                                                              • -
                                                              • 2 years experience deploying Machine Learning model in a production environment

                                                              • -
                                                              • Experience working with code version control through git

                                                              • -
                                                              • Demonstrated quantitative, analytical, problem-solving, conceptual thinking skills, and data transformation and manipulation experience

                                                              • -
                                                              • -

                                                                Deep understanding of the following:

                                                                -
                                                                  -
                                                                • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components

                                                                • -
                                                                • Statistics, linear algebra, probability theory

                                                                • -
                                                                • Computer science fundamentals

                                                                • -
                                                                -
                                                              • -
                                                              • Excellent verbal and written communication skills

                                                              • -
                                                              • Strong organizational and time management skills​

                                                              • +
                                                              • Support Director/Manager Business Systems Analysis in day-to-day operations regarding reference data/master data maintenance and management

                                                              • +
                                                              • Working with the client to ensure day-to-day support and maintenance activities, which include problem solving

                                                              • +
                                                              • Performing finance related activities in multiple system landscapes, such as revaluation/translation and consolidation

                                                              • +
                                                              • Identification/tracking/resolution as well as new requests including the new projects and enhancements

                                                              • +
                                                              • Participate in business requirement gathering and analysis and contribute on the reference data requirements identification and configuration

                                                              • +
                                                              • Documentation and maintenance of operational guides and documentation

                                                              • +
                                                              • Documentation of user documents and training the users on applications supported by FSS

                                                              • +
                                                              • Working and coordinating effectively with our offshore partners to ensure quality and timely deliverables

                                                              • +
                                                              • Work with technical team, business systems analyst to resolve any issues/defects from the Finance users

                                                              -

                                                              What will be nice to have?

                                                              +

                                                              What will you need to succeed?

                                                                -
                                                              • Experience and/or training in Cloud platforms like AWS, MS Azure, and Google Cloud Platform

                                                              • -
                                                              • Experience writing SQL queries to analyze data and gather valuable insights

                                                              • -
                                                              • Understanding of agile teams and patterns

                                                              • -
                                                              • Strong understanding of agile teams (Scrum, Kanban etc.)

                                                              • -
                                                              • Working experience with Confluence and Jira

                                                              • -
                                                              • Experience with relational databases and data modeling techniques

                                                              • +
                                                              • Business, accounting and/or finance degree

                                                              • +
                                                              • Minimum of 2 years of experience in the financial services industry with extensive knowledge of financial analyses and reporting

                                                              • +
                                                              • Strong computer skills in Microsoft Office applications with proficiency in Excel and PowerPoint.

                                                              • +
                                                              • Strong written and oral communication skills and the ability to effectively communicate at most levels of the organization

                                                              • +
                                                              • Strong data analytics skills

                                                              • +
                                                              • Solid understanding of accounting systems and processes

                                                              • +
                                                              • Working experience of SAP general ledger and reporting applications (1-2 years), similar ERP systems will be considered, and SAP training will be provided

                                                              -

                                                              Unique Requirements

                                                              +

                                                              Unique Requirements

                                                                -
                                                              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                              • -
                                                              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                              • +
                                                              • Occasional work outside of normal business hours as part of a global team

                                                              • +
                                                              • Occasional weekend work in support of project delivery and implementations

                                                              -

                                                              What\'s in it for you?

                                                              +

                                                              What’s in it for you?

                                                                -
                                                              • Great Place to Work® Certified in Canada and the US - 2022

                                                              • -
                                                              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                              • -
                                                              • Named “Best Places to Work” by Glassdoor - 2021

                                                              • +
                                                              • Great Place to Work® Certified in Canada and the US.

                                                              • +
                                                              • Named 2021 “Best Places to Work” by Glassdoor

                                                              • Canada Award for Excellence for Mental Health at Work - 2021

                                                              • -
                                                              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid

                                                              • -
                                                              • Competitive salary and bonus structure influenced by market range data

                                                              • +
                                                              • Flexible hybrid work model including in-country work-from-home if you prefer.

                                                              • Pension, stock and savings programs to help build and enhance your future financial security

                                                              • +
                                                              • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                              • A friendly, collaborative, and inclusive culture

                                                              • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                              • -
                                                              • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                              • -
                                                              • The opportunity to move along a variety of career paths with amazing networking potential

                                                              -

                                                              +

                                                              #LI-Remote

                                                              +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                @@ -40799,133 +40459,22 @@ b443690b-b44c-463f-bef1-a2b2deac7273,137048719,Accenture,Data Science Senior Man

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                Sun Life is committed to the health and safety of all those in our workplaces and our communities. In accordance with Sun Life’s Vaccination Policy (Canada):

                                                                +
                                                                  +
                                                                • Employees permitted to work remotely are required to be fully vaccinated against COVID-19 in order to attend a Sun Life office, Financial Centre or offsite location where activity related to Sun Life business occurs.

                                                                • +
                                                                • Employees whose job duties require them to attend a Sun Life office, Financial Centre or offsite location for Sun Life business must be fully vaccinated against COVID-19 effective May 1st. Employees in these roles may participate in Sun Life’s Rapid Screening Program as an alternative until April 30th.

                                                                • +
                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                Salary Range:

                                                                74,900/74 900 - 125,900/125 900

                                                                -

                                                                Job Category:

                                                                IT - Technology Services

                                                                -

                                                                Posting End Date:

                                                                01/08/2022
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Support-Engineer--Analytics_JR00062556?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-02T16:38:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/137840214-senior-data-science-engineer-at-sun-life-financial,,expired,2022-07-18T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0005ba58-bd57-4f42-a9e4-28018100ac54,135438664,Google,"Student Researcher, MS, 2022",on_site,"Toronto, ON, Canada",2022-07-04T17:11:11.301Z,"
                                                                -2022-04-12T14:02:33.135Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Student Researcher, MS, 2022

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Toronto, ON, Canada -
                                                                • -
                                                                • + 1 more location
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                -

                                                                NOTE: This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2023, depending on their program and unique circumstances. If you are graduating before December 2023, we encourage you to apply to the Research Internship opening.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Waterloo, ON, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                                • -
                                                                • Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB, Go, Python, or similar.
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for flexibility beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                -
                                                                -

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/106578402124669638-student-researcher-ms-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-08-03T18:52:10.290Z,False,0,17,199,https://talenthub.vectorinstitute.ai/jobs/135438664-student-researcher-ms-2022-at-google,,expired,2022-07-04T17:11:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -450f6193-fc2d-4944-93f8-71745ae23503,146726206,League,Data Analyst - Remote,full,US / Canada - Remote,2022-08-28T05:07:04.102Z,"
                                                                -
                                                                Help Us Shape the Future of Healthcare
                                                                -
                                                                -
                                                                At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                                -

                                                                As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                                -

                                                                People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                                -

                                                                Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                                -


                                                                In this role, you will:

                                                                -
                                                                  -
                                                                • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                                • -
                                                                • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                                • -
                                                                • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                                • -
                                                                • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                                • -
                                                                • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                                • -
                                                                -


                                                                Attributes

                                                                -
                                                                  -
                                                                • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                                • -
                                                                • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                                • -
                                                                • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                                • -
                                                                • You drive to learn and master new technologies and techniques.
                                                                • -
                                                                • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                                • -
                                                                • You are eager to learn from others and help others grow with you.
                                                                • -
                                                                -



                                                                Desired Outcome

                                                                -
                                                                  -
                                                                • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                                • -
                                                                • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                                • -
                                                                -


                                                                Required Education/Experience/Certificates

                                                                -
                                                                  -
                                                                • Strong SQL skills and experience working with a modern ETL framework
                                                                • -
                                                                • Experience working as a data analyst or data scientist
                                                                • -
                                                                • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                                • -
                                                                -



                                                                Nice To Have Experience

                                                                -
                                                                  -
                                                                • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                                • -
                                                                • Healthcare industry experience
                                                                • -
                                                                -
                                                                -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                -
                                                                -
                                                                Our Application Process:
                                                                -
                                                                -
                                                                Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                                -
                                                                  -
                                                                • You should receive a confirmation email after submitting your application.
                                                                • -
                                                                • A recruiter (not a computer) reviews all applications at League.
                                                                • -
                                                                • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                                • -
                                                                • Before extending offers, we conduct reference and background checks.
                                                                • -
                                                                • For US Candidates, due to League's professional engagements with major healthcare organizations, additional checks could be required, depending on the role you are exploring.
                                                                • -
                                                                • The final step is an offer, which we hope you will accept!
                                                                • -
                                                                -
                                                                -
                                                                Here are some additional resources to learn more about League:
                                                                - - - - -
                                                                -

                                                                Recognize and Avoid Employment scams. Practice safe job searching.

                                                                -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. -
                                                                -
                                                                -
                                                                Privacy Policy
                                                                -
                                                                Review our Privacy Policy for information on how League is protecting personal data.
                                                                -
                                                                -
                                                                ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-09-28T15:19:00.033Z,False,0,16,84,https://talenthub.vectorinstitute.ai/jobs/146726206-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-08-28T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -03d39819-fa92-4056-9b0b-cee8b9ab9538,146848090,Shopify Inc.,"Lead (Staff) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-08-29T07:35:02.475Z,"

                                                                About the role

                                                                Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                                +

                                                                Salary Range:

                                                                56,300/56 300 - 92,900/92 900

                                                                +

                                                                Job Category:

                                                                Business Analysis - Systems

                                                                +

                                                                Posting End Date:

                                                                17/04/2022
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00056872-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-04-18T07:31:02.952Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/119809553-business-data-analyst-at-sun-life-financial,,expired,2022-04-11T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-03-25T07:33:16.801Z,"

                                                                About the role

                                                                +

                                                                Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                                Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                                -

                                                                Qualifications

                                                                -
                                                                  +

                                                                  +

                                                                Qualifications

                                                                • 7-10 years of commercial experience in a data science role solving high impact business problems
                                                                • You have well built technical experience that inspires individual contributors creativity and innovation.
                                                                • You have experience with product leadership and technical decision making.
                                                                • @@ -40941,708 +40490,593 @@ b443690b-b44c-463f-bef1-a2b2deac7273,137048719,Accenture,Data Science Senior Man
                                                                • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                                                • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                All your information will be kept confidential according to EEO guidelines.

                                                                +

                                                                If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                                +

                                                                #LI-REMOTE

                                                                +

                                                                Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                                +

                                                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                                +

                                                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                How we hire

                                                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                                Learn more about our hiring process +
                                                                +
                                                                +
                                                                +
                                                                ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-04-27T13:48:06.672Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/116632741-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-03-25T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +3adf9515-f019-4ec9-b02f-2e6f940c1275,117636643,BenchSci,Engineering Manager - Data,on_site,"Toronto, Ontario /",2022-04-01T05:06:09.890Z,"
                                                                +
                                                                BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                                +

                                                                +
                                                                We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +

                                                                You Will:

                                                                +
                                                                    +
                                                                  • Own and drive execution of product and technical roadmaps
                                                                  • +
                                                                  • Take a leadership role in our recruiting, hiring, and onboarding processes
                                                                  • +
                                                                  • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                                                  • +
                                                                  • Help improve the processes and patterns of data engineering at BenchSci
                                                                  • +
                                                                  • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                                                  • +
                                                                  • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                                                  • +
                                                                  • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                                                  • +
                                                                  • Delegate tasks and manage all technical issues within your team
                                                                  • +
                                                                  • Work with your team to continuously drive improvements in quality and productivity
                                                                  • +
                                                                  • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                You Have:

                                                                +
                                                                    +
                                                                  • 5+ years of experience working as a professional developer
                                                                  • +
                                                                  • 2+ years of experience working as an engineering team manager
                                                                  • +
                                                                  • Experience in a leadership role providing technical direction to less senior staff
                                                                  • +
                                                                  • A proven track record of delivering complex development projects
                                                                  • +
                                                                  • Solid experience with relational databases and data modeling
                                                                  • +
                                                                  • Production experience with data processing tools such as Spark or Beam
                                                                  • +
                                                                  • Software engineering experience in Python
                                                                  • +
                                                                  • Well-versed in Agile practices
                                                                  • +
                                                                  • Strong leadership, engineering skills, and communication skills
                                                                  • +
                                                                  • The ability to understand and explain complex systems, and independently learn new technologies
                                                                  • +
                                                                +
                                                                +
                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture that hires the best talent from around the world
                                                                +
                                                                A competitive compensation package that includes BenchSci equity options
                                                                +
                                                                Comprehensive health and dental benefits with an emphasis on mental health
                                                                +
                                                                An annual Executive Health Assessment at Medcan for proactive health awareness
                                                                +
                                                                Three weeks of vacation plus an additional day for every completed year
                                                                +
                                                                A $2000 Annual Learning & Development budget
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                                +
                                                                A $1000 work from home allowance to make your home setup perfect for you
                                                                +
                                                                An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                                +
                                                                An executive coach for managers to assist in leading high-performing teams
                                                                +
                                                                Complimentary Headspace account to support mental wellness and focus
                                                                +
                                                                Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                                +

                                                                +
                                                                Diversity, Equity, and Inclusion:
                                                                +
                                                                We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                                +

                                                                +
                                                                Accessibility Accommodations:
                                                                +
                                                                BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-28T18:45:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/117636643-engineering-manager-data-at-benchsci,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4,expired,2022-04-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, +35b46559-32ab-4bc4-84b3-67688d030342,117334496,Shopify Inc.,"Senior Data Science Manager - Merchant Services, Retail Growth (Remote, Canada)",on_site,"Ontario, Canada",2022-03-31T07:33:08.099Z,"

                                                                About the role

                                                                +

                                                                Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.

                                                                +

                                                                As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.

                                                                +

                                                                For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:

                                                                +
                                                                  +
                                                                • Help drive customer acquisition, growth and activation to help us help merchants around the world
                                                                • +
                                                                • Use data to gain insights and drive decisions in growing a customer base

                                                                • +
                                                                • Lead a large team across multiple time zones and work cohesively to achieve shared goals

                                                                • +
                                                                • Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail

                                                                • +
                                                                • Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences

                                                                • +
                                                                • Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing

                                                                • +
                                                                • Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals

                                                                • +
                                                                • Leverage deep industry knowledge to create broad awareness of the possibilities using data

                                                                • +

                                                                -

                                                                All your information will be kept confidential according to EEO guidelines.

                                                                +

                                                                Qualifications

                                                                You will need to have:

                                                                +
                                                                  +
                                                                • 5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts

                                                                • +
                                                                • Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation

                                                                • +
                                                                • Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds

                                                                • +
                                                                • Applied experience working with large datasets both as an individual contributor and a leader

                                                                • +
                                                                • Familiarity with design and analysis of controlled experiments (A/B testing)

                                                                • +
                                                                • Hands-on experience with data querying languages (e.g. SQL)

                                                                • +
                                                                • Experience leading managers and senior individual contributors

                                                                • +
                                                                • Deep understanding of the Python programming language (strongly preferred)

                                                                • +
                                                                +

                                                                This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                All your information will be kept confidential according to EEO guidelines.

                                                                If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                                                -

                                                                As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

                                                                #LI-REMOTE

                                                                +

                                                                #LI-REMOTE

                                                                +

                                                                +

                                                                Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                                -

                                                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                -
                                                                ",,https://www.shopify.ca/careers/lead-staff-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-09-28T15:24:05.021Z,False,0,4,32,https://talenthub.vectorinstitute.ai/jobs/146848090-lead-staff-data-scientist-remote-canada-at-shopify-inc,,expired,2022-08-29T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -29780a6d-0e6e-471d-91af-86eeb31a7339,146515829,Deloitte,"Senior Manager, AI Strategy and Enablement, Omnia AI",on_site,"Ontario, Canada",2022-08-27T02:43:02.582Z,"

                                                                -

                                                                Job Type: Permanent
                                                                Reference code: 110665
                                                                Primary Location: Ottawa, Ontario, Canada
                                                                All Available Locations: Ottawa

                                                                +

                                                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                How we hire

                                                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                                Learn more about our hiring process +
                                                                +
                                                                +
                                                                +
                                                                ",,https://www.shopify.ca/careers/senior-data-science-manager-merchant-services-retail-growth-remote-canada_245aae24-4edd-44ba-a294-306aa4f1e0ef,feed-importer@jobboard.io,,,,2022-04-30T13:13:01.217Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/117334496-senior-data-science-manager-merchant-services-retail-growth-remote-canada-at-shopify-inc,,expired,2022-03-31T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Bachelors Degree,New Posting, +83c2aeb3-20f2-4a19-9b93-e106f34cfe6e,120269992,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.753Z,"
                                                                +
                                                                +

                                                                Description

                                                                -

                                                                Our Purpose

                                                                +

                                                                Join our team

                                                                +


                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                                                -

                                                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                -

                                                                By living our Purpose, we will make an impact that matters.

                                                                -
                                                                • Be encouraged to deepen your technical skills…whatever those may be.
                                                                • Partner with clients to solve their most complex problems
                                                                • Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                                • +

                                                                  The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                  +


                                                                  Here’s the impact you’ll make and what we’ll accomplish together

                                                                  +

                                                                  +

                                                                  You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                                  +
                                                                +
                                                                +
                                                                +

                                                                Here\'s How

                                                                +
                                                                +

                                                                +
                                                                  +
                                                                • Lead the iterative development, validation, and deployment of AI/ML models
                                                                • +
                                                                • Collaborate on end-to-end automation efforts required to bring models to production
                                                                • +
                                                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                • +
                                                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                • +
                                                                • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                                                • +
                                                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                • +
                                                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                                • +
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                +

                                                                You\'re the missing piece of the puzzle

                                                                +

                                                                +
                                                                  +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • +
                                                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                                • +
                                                                • You have experience architecting and deploying end to end AI solutions in the cloud with reliability, scalability, security, and privacy considerations
                                                                • +
                                                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                                • +
                                                                • You possess advanced knowledge in SQL and distributed computing
                                                                • +
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • You are well versed in software and AI development lifecycles, including ML Ops
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • +
                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                                • +
                                                                • Experience with agile methodology and work in a start-up environment
                                                                • +
                                                                • GCP or other cloud certifications
                                                                • +
                                                                • Bayesian / Belief Networks, and Causal Inference
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/556220017/,feed-importer@jobboard.io,,,,2022-05-14T14:06:26.126Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/120269992-senior-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +a9c53c4f-9741-4d78-87a3-72911449764c,120230008,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, Ontario /",2022-04-14T05:06:03.400Z,"
                                                                +
                                                                About us
                                                                +
                                                                Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.
                                                                +

                                                                +
                                                                Job Description
                                                                +
                                                                We are seeking exceptional graduate students for an 8 to 12-month internship in 2022. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
                                                                +

                                                                +
                                                                Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:
                                                                +
                                                                - Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions
                                                                +
                                                                - Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility
                                                                +
                                                                - Organize internal hackathons to quickly prototype solutions to problems
                                                                +
                                                                +
                                                                +

                                                                Requirements

                                                                +
                                                                    +
                                                                  • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                                                  • +
                                                                  • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                                                  • +
                                                                  • Excellent scientific writing and presentation skills.
                                                                  • +
                                                                  • Programming experience in at least one of Python, C or C++
                                                                  • +
                                                                  • Strong organizational, interpersonal, and communication skills.
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                What we offer

                                                                +
                                                                    +
                                                                  • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                                                  • +
                                                                  • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                                                  • +
                                                                  • Competitive compensation package
                                                                  • +
                                                                +
                                                                +
                                                                +
                                                                Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                                +

                                                                +
                                                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                                +
                                                                ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,feed-importer@jobboard.io,,,,2022-05-14T14:04:06.282Z,False,0,15,94,https://talenthub.vectorinstitute.ai/jobs/120230008-graduate-research-intern-machine-learning-at-deep-genomics,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,expired,2022-04-14T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Masters Degree,Re-Posting an Expired Job, +efb169ee-9017-42cb-8522-2d44a6019010,120202543,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-04-13T21:45:06.066Z,"
                                                                +

                                                                What\'s the opportunity?

                                                                +

                                                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                +

                                                                +

                                                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                +
                                                                -
                                                                -

                                                                -

                                                                Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

                                                                +

                                                                Your responsibilities include:

                                                                +
                                                                  +
                                                                • Developing novel AI solutions that facilitate impactful products;
                                                                • +
                                                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                • +
                                                                • Working with the development team to transfer research work into production;
                                                                • +
                                                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                • +
                                                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                • +
                                                                -
                                                                -

                                                                What will your typical day look like?

                                                                -

                                                                As a Senior Manager, AI Strategy you will be responsible for generating, leading and managing a portfolio of Deloitte’s Omnia AI Strategy services engagements (projects) within your focus area. The role includes developing and nurturing client relationships, leading project teams, coaching and mentoring Deloitte professionals with a continuous focus on personal and professional learning and growth, and achieving highest levels of quality performance commensurate with the expectations of a World-leading Professional Services Firm. This role has full life-cycle responsibility over AI Strategy projects, which includes responsibility for identifying opportunities, proposal development and pursuit assistance, project delivery, team leadership and team performance, quality of our project deliverables and engagement financials.

                                                                -

                                                                In this role. you will:

                                                                -
                                                                • Offer expertise in Artificial Intelligence Strategy, building out of AI capabilities and operating model, as well as their application towards creation of business value for our clients
                                                                • Be instrumental in growing and mentoring a pool of talented AI Strategy practitioners, participate in and drive sales opportunities, and display eminence in various strategic initiatives across Omnia AI, Deloitte and the external marketplace
                                                                • Apply deep knowledge of disruptive trends and competitor activity to advise clients on their AI Strategy
                                                                • Design AI roadmaps for clients based on readiness, aspirations and vision
                                                                • -
                                                                -
                                                                +

                                                                You’re our ideal candidate if you have:

                                                                +
                                                                  +
                                                                • A passion for solving open problems using data and algorithms;
                                                                • +
                                                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                • +
                                                                • Ability to formulate and drive a research project independently without close supervision;
                                                                • +
                                                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                • +
                                                                -
                                                                -

                                                                About the team

                                                                -

                                                                Deloitte Omnia AI, Deloitte’s Artificial Intelligence practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                                -

                                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across multiple industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics and/or AI domains.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Enough about us, let’s talk about you

                                                                +

                                                                What’s in it for you?

                                                                -

                                                                You are someone with:

                                                                -
                                                                • 8 + years of consulting experience in a Strategic role with Tier 1 Professional Services, Consulting or Advisory Firms and/or other reputable organizations (including start-ups)
                                                                • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
                                                                • Completed Undergraduate degree in a Business/Management/Analytics or related field; MBA, Master’s or PhD degrees and any recognized professional certifications would be an asset
                                                                • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
                                                                • Exceptional senior/executive stakeholder management skills, including strong emotional intelligence and ability to relate to a variety of personality types
                                                                • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
                                                                • Structured problem solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
                                                                • +
                                                                    +
                                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                  • +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                  • +
                                                                  • Leaders who support your development through coaching and managing opportunities;
                                                                  • +
                                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                  -

                                                                  If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

                                                                  -

                                                                  The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                                  -
                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-14T14:01:04.585Z,False,0,3,67,https://talenthub.vectorinstitute.ai/jobs/120202543-machine-learning-researcher-at-borealis-ai,,expired,2022-04-13T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +97aaa364-366c-48e3-99b0-f5bc0a036e2f,124109997,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-05T07:35:04.852Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                Ready to create innovative solutions and best practices?

                                                                -

                                                                Our promise to our people: Deloitte is where potential comes to life.

                                                                -

                                                                -

                                                                Be yourself, and more.

                                                                -

                                                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                -

                                                                You shape how we make impact.

                                                                -

                                                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                -

                                                                Be the leader you want to be

                                                                -

                                                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                -

                                                                Have as many careers as you want.

                                                                -

                                                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                The next step is yours

                                                                -

                                                                -

                                                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                -

                                                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                                -

                                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                -

                                                                ",,https://careers.deloitte.ca/job/Ottawa%2C-Ontario%2C-Canada-Senior-Manager%2C-AI-Strategy-and-Enablement%2C-Omnia-AI-ON/911283800/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-09-28T13:30:24.157Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/146515829-senior-manager-ai-strategy-and-enablement-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Ottawa%2C-Ontario%2C-Canada-Senior-Manager%2C-AI-Strategy-and-Enablement%2C-Omnia-AI-ON/911283800/,expired,2022-08-27T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,PhD,New Posting, -568ba209-4290-4160-9019-2521901c7fec,146651104,Bell Canada,ON - 2023 Field Services Graduate Leadership Program - Business Intelligence Stream,on_site,"Toronto, Ontario",2022-08-27T18:26:13.759Z,"

                                                                Req Id: 391232

                                                                -

                                                                -

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                -

                                                                -

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                -

                                                                Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                                -

                                                                -

                                                                Big data is a big deal:

                                                                +

                                                                Join our team

                                                                -

                                                                The Field Services Business Intelligence team resides within Field Services and is responsible for developing, maintaining and using data to drive insights to improve the customer experience and field technician’s productivity.

                                                                +

                                                                The AI Data & Analytics team consists of Analysts, Data Scientists, Data Engineers, Strategy Managers, and Program Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies.

                                                                -

                                                                With nearly limitless sources of data at our fingertips, the team sources, maintains and analyzes data on network, product & operational performance. They build metrics, dashboards tools & models to optimize resource utilization across a workforce of nearly 10,000 people, and delivers a performance management system that achieves best in class quality and services from our technicians.

                                                                +

                                                                We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

                                                                -

                                                                The team’s findings help prioritize key technology investments and ensures major strategic decisions are always data driven. We collaborate closely with other business units and groups within the company to support our field frontline and support teams with impactful insights that help us continue to transform the business.

                                                                +

                                                                Our team enjoy a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

                                                                -

                                                                How the program works:

                                                                -

                                                                This is a two-year graduate leadership program where you will have the opportunity to work on projects and improve your skills in data analytics, dashboard development, data engineering and machine learning.

                                                                +

                                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                                -

                                                                Upon completing 12 months in Business Intelligence, you will have the option to “go and see” a frontline area of Field Services for 4 to 6 months to gain leadership experience and knowledge of that area to apply in your BI role.

                                                                +

                                                                As an experienced professional in the field of data science, you will be part of the journey that brings us to a better understanding of our customers in order to predict their needs and interaction behaviour.

                                                                -

                                                                Upon graduation from the program, you will continue working in the Field Services Business Intelligence team.

                                                                +

                                                                With a natural curiosity to experiment, and expert knowledge of AI & ML concepts, you’ll perform hypothesis validation and develop models through an iterative approach in order to predict customer demand.

                                                                -

                                                                During the program, you can count on:

                                                                +

                                                                You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

                                                                +

                                                                Here\'s how

                                                                  -
                                                                • A proven training program: including extensive hands-on, classroom training and development.
                                                                • -
                                                                • A huge support system: Executive mentor, Grad Buddy, and Grad Alumni with whom you can connect, share, learn and have fun!
                                                                • -
                                                                • A supportive Executive Team with whom you will network
                                                                • -
                                                                • Many learning opportunities to help you excel in your role
                                                                • +
                                                                • Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                                                                • +
                                                                • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices, and emerging tools/technology
                                                                • +
                                                                • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                                                                • +
                                                                • Build and maintain a interlock with key stakeholders to understand business needs and priorities
                                                                • +
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • +
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities

                                                                -

                                                                Keep reading if:

                                                                -
                                                                  -
                                                                • You are passionate about performing in-depth analysis, developing insight tools & developing analytical models
                                                                • -
                                                                • You have an aptitude to create business impacts using data-driven approach
                                                                • -
                                                                • You are interested in operations and enabling team members to have faster and more insightful access to the drivers of their operations
                                                                • -
                                                                • You have a strong sense of curiosity and are energized by solving complex puzzles
                                                                • -
                                                                • You're a fast learner and want to develop and apply your analytical, project management skills and leadership skills, working with new, cutting-edge BI technologies
                                                                • -
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                +

                                                                You\'re the missing piece of the puzzle

                                                                -

                                                                Click on the apply button if:

                                                                  -
                                                                • You are currently completing a Bachelor’s degree in Engineering, Computer Science, Business, Operations Research, Physics, Mathematics or related field, graduating by August 2023 or you have graduated no earlier than 2021.
                                                                • -
                                                                • Or, you are currently completing a Master’s degree in Engineering, Computer Science, Business, Operations Research, Physics, Mathematics or related field, graduating by August 2023, and have a maximum of 1 year between completing your Bachelor’s degree and enrolling in your Master’s program.
                                                                • -
                                                                -
                                                                  -
                                                                • You are highly analytical with a good understanding of the basic principles of working with large and complex data sets.
                                                                • -
                                                                • You have strong problem solving skills and a curiosity to understand “how things work”.
                                                                • -
                                                                • You have demonstrated leadership qualities in co-curricular activities.
                                                                • -
                                                                • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations.
                                                                • -
                                                                • You demonstrate initiative, leadership, and a passion for learning new skills.
                                                                • -
                                                                • You have strong work ethic and persistence in the face of challenges and opportunities.
                                                                • -
                                                                • You are a curious, quick learner, and have the ability to manage multiple projects and priorities.
                                                                • -
                                                                • You have excellent interpersonal and communication skills.
                                                                • +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                                                                • +
                                                                • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                                                                • +
                                                                • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                                                                • +
                                                                • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                                                                • +
                                                                • Proficiency with SQL
                                                                • +
                                                                • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • Well versed in software development lifecycle and ML Ops concepts

                                                                -

                                                                Nice to have competencies:

                                                                +

                                                                Great-to-haves

                                                                  -
                                                                • Experience with query development using SQL.
                                                                • -
                                                                • Experience in Python or other programming languages.
                                                                • -
                                                                • Experience with various databases systems such as Hadoop, Microsoft SQL Server, Teradata, SAS, and Oracle.
                                                                • -
                                                                • Dimensional modeling experience (fact tables, conformed dimensions, etc.).
                                                                • -
                                                                • Experience in reporting and data visualization tools such as Microstrategy, Tableau, and Python Dash.
                                                                • -
                                                                • Experience in large data sets and machine learning techniques.
                                                                • +
                                                                • Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • +
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                                                                • +
                                                                • Data environments experience: MS SQL, Oracle
                                                                • +
                                                                • Experience using Google Workspace
                                                                • +
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                                                                -

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                -

                                                                Additional Information:

                                                                -

                                                                Position Type: Management
                                                                Job Status:
                                                                Grad Hire
                                                                Position Level:
                                                                CP2
                                                                Job Location:
                                                                Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Contact Name:
                                                                Application Deadline:
                                                                10/31/2022

                                                                -

                                                                -

                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                -

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                -

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                -

                                                                Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                                                -

                                                                Created: Canada, ON, Toronto

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA391232EXTERNALENCA/ON-2023-Field-Services-Graduate-Leadership-Program-Business-Intelligence-Stream?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-09-28T14:07:00.000Z,False,0,11,47,https://talenthub.vectorinstitute.ai/jobs/146651104-on-2023-field-services-graduate-leadership-program-business-intelligence-stream-at-bell-canada,BECACA391232EXTERNALENCA,expired,2022-08-27T18:26:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,Masters Degree,New Posting, -51433a72-156c-4bc8-934c-dafb8dc380d4,149267515,CN,Data Science Specialist,on_site,"Ontario, Canada",2022-09-08T07:35:03.822Z,"
                                                                -

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The role of Data Science Specialist is to ensure successful deployment of advanced infrastructure, telecom, machine learning, Industrial IoT, software development, application, and technology solutions, systems and services. The specialist ensures that all business requirements are met by team members and projects, and contributes to the global evolution of CN’s I&T.

                                                                Clients can be from within CN’s I&T team or direct lines of business. The specialist must build a full-time automated service between systems in the cloud for the positive train control with the machine learning and AI. Be part of the system architecture for infrastructure as a code and Work CICD tool with azure DevOPS. Be part of the technology exploration service to build the evolution of the existing services. Develop and maintain a virtualized and containerized infrastructure. Building test code, new design and optimisation monitoring tool. Be part of the DevOPS team and lead after action review for operation support.

                                                                Main Responsibilities

                                                                · Full stack development of AI Feature and application in various area.

                                                                · Identify Models to be used and improve model accuracy

                                                                · Participate in the product definition, especially around the aspect of AI, machine learning, to translate complex business requirement into concrete technical solution.

                                                                · Create new optimisation for Infra monitoring with integration with third party or internal script(s).

                                                                · Develop new way to get information from the application to get more data for the monitoring

                                                                · Use the data in the log management for pattern recognition

                                                                · Develop cloud design pattern for availability, data management, design and implementation, management and monitoring.

                                                                · Build the structure for process and documentation

                                                                · Be able to build solution with the Azure, Google cloud platform and DevOps marketplace.

                                                                · Evolve and build best practice materials

                                                                · Enable development teams to leverage cloud-native architectures with new and existing applications.

                                                                · Build workshops and labs about cloud technologies, cloud operations, containers, orchestrators and microservices.

                                                                · Be the technical leader for the system integration dev ops

                                                                Requirements

                                                                · Minimum of 5 years of experience.

                                                                · Computer Science or Engineering degree

                                                                · Strong knowledge in cloud computing (Azure, AWS, Google Cloud, DataBricks)

                                                                · Strong familiarity with CNN for objects detection, segmentation and classification.

                                                                · Strong Familiarity with machine learning application to time series analysis.

                                                                · Experience with Tensorflow, Keras, Spark, Opencv, Pytorch, etc

                                                                · Strong Knowledge in machine learning or AI feature and application in the SaaS software

                                                                · Experience with Natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar

                                                                · Strong knowledge of CI/CD tools (Jenkins, Gitlab CI, Github Actions, etc)

                                                                · In-depth experience gathering and interpreting business requirements to design and create scalable data science solutions

                                                                · Familiarity with SQL, Hadoop, Hive, Spark Databases

                                                                · Familiarity with MLFlow and pipeline monitoring

                                                                · Experience working in Agile environments

                                                                · Experience working with Big Data Analytics

                                                                · Strong knowledge about coding in Python, Java.

                                                                · Strong knowledge how to monitor application and infrastructure

                                                                · Knowledge in logs management, application monitoring, infrastructure monitoring

                                                                · Knowledge of monitoring and logging for containers and orchestrators.

                                                                · Familiar with ISO30162 and IoT

                                                                Assets

                                                                • Master or Ph.D in Computer Science, AI, machine learning or related technical field.
                                                                • Strong knowledge in cloud computing (Azure, Google)

                                                                · Knowledge of networking, security and protocol

                                                                · PTC and Rail industry experience

                                                                · IoT experience

                                                                · MLOps Experience

                                                                · Great Communication skills

                                                                · Out of the box thinker

                                                                · Devops Certification

                                                                · Azure certification (developing solution)

                                                                · Google certification

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                -

                                                                -

                                                                CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8852?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-09-29T15:13:00.000Z,False,0,10,63,https://talenthub.vectorinstitute.ai/jobs/149267515-data-science-specialist-at-cn,,expired,2022-09-08T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Senior Level,PhD,New Posting, -c2a73969-9367-4bb4-a84e-1d413902110c,147151906,Vector Institute (Internal Opportunities Only),AI for Clinical Champions Certificate Program - Teaching Assistant (TA),full,Anywhere,2022-08-30T18:54:04.868Z,"

                                                                Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before October 6, 2022. The course will run dependent on the number of participant registrations.

                                                                -

                                                                We are advertising for this role in advance of October 6, 2022, so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                                -

                                                                STATEMENT OF WORK: AI for Clinical Champions Certificate Program - TA (with Office Hours)

                                                                -

                                                                Clinical Champions Program Dates: October 20, 2022 – December 8, 2022 (class sessions)

                                                                -

                                                                Location: This course will be delivered online via Blackboard

                                                                -

                                                                Lectures and Tutorials: Delivery, development and weekly office hours (TBD)

                                                                -

                                                                Instructors: TBD

                                                                -

                                                                Overview

                                                                -

                                                                AI for Clinical Champions Certificate Program is an online learning program. This immersive and interactive program is facilitated in partnership between the Vector Institute and the Michener Institute for Education and is designed to enable practicing clinicians to confidently participate in conversations about AI and engage in the implementation of AI applications.

                                                                -

                                                                During this course, clinicians will apply the program learnings to their practice and present these to instructors and stakeholders from Vector and Michener in the final week. For this presentation, clinicians will work on a capstone project of their choosing based on their own business context to maximize value.

                                                                -

                                                                The program will include approximately 60 participants and will cover content including fundamentals of AI, best practices, ethical considerations, mapping AI to clinical processes, change management strategies, and cases for clinical and business contexts.

                                                                -

                                                                TA Tasks and Responsibilities

                                                                -

                                                                Development

                                                                -
                                                                  -
                                                                • Prepare assignments with direction from the course instructor(s) in advance of the course start date
                                                                • -
                                                                • Prepare lecture content for 2-hour lectures with direction from the course instructor(s) in advance of the course start date
                                                                • -
                                                                • Participate in course development meetings and engage with course development discussions on Slack
                                                                • -
                                                                • Curate recommended readings or supplementary materials to support the assignments
                                                                • -
                                                                • Ensure that all course materials are submitted (including lecture slides, lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in the Learning Management System (LMS) – currently Blackboard
                                                                • -
                                                                -

                                                                Delivery

                                                                -
                                                                  -
                                                                • Support the Lead Instructor with co-facilitating classes
                                                                • -
                                                                • Deliver and mark assignments with direction from the lead instructor
                                                                • -
                                                                • Mark assignments related to tutorials delivered, and enter grades to the Learning Management System (LMS), currently Blackboard
                                                                • -
                                                                • Curate recommended readings or supplementary materials to support assignments
                                                                • -
                                                                • Provide assistance to course participants following each tutorial and throughout the course
                                                                • -
                                                                -

                                                                Coaching

                                                                -
                                                                  -
                                                                • Schedule regular office hours (TBD) in order to support course participants, and work through course assignments
                                                                • -
                                                                • Anticipate and be prepared to respond to assignment questions from learners
                                                                • -
                                                                -

                                                                Fees

                                                                -
                                                                  -
                                                                • $1,750 flat fee for development, delivery, marking, TA office hours and administration
                                                                • -
                                                                • TAs must submit invoices at the end of the course. All fees are payable at the end of the course ~08 December 2022, upon completion of all contractual responsibilities.
                                                                • -
                                                                -

                                                                Course Schedule

                                                                -

                                                                Schedule TBA. The day and time of tutorial office hours and lectures will be determined by availability of instructors and TAs but will be consistent throughout the course.

                                                                -

                                                                Course Outline

                                                                -

                                                                Course Schedule

                                                                -

                                                                Prior to course commencement, touchpoints include:

                                                                -
                                                                  -
                                                                • Team kick-off/ curriculum development meeting
                                                                • -
                                                                • Team progress meeting
                                                                • -
                                                                • Team LMS upload and testing meeting
                                                                • -
                                                                • Course launch meeting
                                                                • -
                                                                -

                                                                These meetings will accommodate schedules as much as possible.

                                                                -

                                                                All course units will be released online according to the schedule below and supplemented office hours and tutorials. Weekly topics may vary as agreed by the Instructor and the Vector/ Michener team.

                                                                -

                                                                Lessons

                                                                -
                                                                  -
                                                                • Weekly Lessons: Thursdays 4:00 pm – 6:00 pm EST
                                                                • -
                                                                • TA Office Hours: TBA
                                                                • -
                                                                -

                                                                Week 1: October 20, 2022

                                                                -
                                                                  -
                                                                • Fundamentals of AI
                                                                • -
                                                                • Application of AI
                                                                • -
                                                                • Beliefs about how AI will affect future
                                                                • -
                                                                • Attitudes in adopting AI
                                                                • -
                                                                -

                                                                Week 2: October 27, 2022

                                                                -
                                                                  -
                                                                • Fundamentals of healthcare data science
                                                                • -
                                                                • Fundamentals of biomedical informatics
                                                                • -
                                                                • Fundamentals of AI
                                                                • -
                                                                • Ethical considerations
                                                                • -
                                                                • Trust and transparency
                                                                • -
                                                                -

                                                                Week 3: November 3, 2022

                                                                -
                                                                  -
                                                                • Application of AI
                                                                • -
                                                                • Strengths and limitations of AI
                                                                • -
                                                                • Critical appraisal
                                                                • -
                                                                • Ethical considerations
                                                                • -
                                                                • Trust and transparency
                                                                • -
                                                                -

                                                                Week 4: November 10, 2022

                                                                -
                                                                  -
                                                                • Data visualization
                                                                • -
                                                                • Medical decision making
                                                                • -
                                                                • Ethical considerations & trust and transparency
                                                                • -
                                                                • Communicating with patients & compassion and empathy
                                                                • -
                                                                -

                                                                Week 5: November 17, 2022

                                                                -
                                                                  -
                                                                • Implementation of AI in healthcare settings
                                                                • -
                                                                • Multidisciplinary collaboration
                                                                • -
                                                                • Change management
                                                                • -
                                                                -

                                                                Week 6: November 24, 2022

                                                                -
                                                                  -
                                                                • Review highlights of what was covered in the program
                                                                • -
                                                                • Review of capstone project and answer questions
                                                                • -
                                                                • Answer any remaining questions
                                                                • -
                                                                -

                                                                Week 7: December 1, 2022

                                                                -
                                                                  -
                                                                • Data governance
                                                                • -
                                                                -

                                                                Week 8: December 8, 2022

                                                                -
                                                                  -
                                                                • Ethical practice
                                                                • -
                                                                • Legal consultation
                                                                • -
                                                                -

                                                                Capstone Paper Due: 08 July 2022

                                                                -

                                                                Capstone and Debrief

                                                                -
                                                                  -
                                                                • Course debrief meetings
                                                                • -
                                                                • Course grades to be submitted approximately 2 weeks after the end of the course, or as discussed by the Instructor and the Vector / Michener team
                                                                • -
                                                                • Course close - Team wrap meeting
                                                                • -
                                                                -

                                                                CAPSTONE PROJECT FINAL

                                                                -

                                                                Capstone Panel: Vector Institute & Michener Institute stakeholders

                                                                -

                                                                Marks submitted & data captured - end of course.

                                                                -

                                                                To apply, please submit your CV and a statement outlining your motivation and objectives to: learn@vectorinstitute.ai

                                                                ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-10-01T12:12:24.001Z,False,2,0,87,https://talenthub.vectorinstitute.ai/jobs/147151906-ai-for-clinical-champions-certificate-program-teaching-assistant-ta-at-vector-institute-internal-opportunities-only,,expired,2022-08-30T18:54:00.000Z,employer-repost,Scaling (20-499),Vector Quick Apply,Public Administration (i.e Gov't),Associate,Masters Degree,New Posting, -938f7686-dd4d-41cd-8c1f-816c5a891587,152749917,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-09-23T01:52:04.339Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                -

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                -
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                -

                                                                About this Role

                                                                -

                                                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                -

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                -

                                                                -

                                                                As the Manager, Analytics & Insights you will:

                                                                -
                                                                  -
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • -
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • -
                                                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                                • -
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                                • -
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • -
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • -
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • -
                                                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                                • -
                                                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                                • -
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • -
                                                                • Set operational team direction, working in partnership to execute on common goals
                                                                • -
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • -
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • -
                                                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • -
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • -
                                                                • Support execution with excellence on key initiatives/programs
                                                                • -
                                                                • Design effective test and learn for various programs or scenarios
                                                                • -
                                                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                                • -
                                                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                                • -
                                                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                                                • -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD?

                                                                -

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Seven (7) or more years relevant experience
                                                                • -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16622753/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-03T17:11:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/152749917-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16622753/manager-analytics-insights-toronto-ca/,expired,2022-09-23T01:52:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -5a0d5332-9e3a-4ce5-86b4-aeb763805447,147915000,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2022-09-02T05:07:02.447Z,"
                                                                -
                                                                About Us
                                                                -
                                                                -Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and by far the most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules.
                                                                +
                                                                ",,https://careers.telus.com/job/Barrie-Data-Scientist-ON/557884517/,feed-importer@jobboard.io,,,,2022-05-12T19:51:00.000Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/124109997-data-scientist-at-telus,,expired,2022-05-05T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +097a0991-c122-4ba1-b4af-da2942f7c05c,122858455,BenchSci,Engineering Manager - Data (Remote),on_site,"Ottawa, Ontario /",2022-04-29T05:06:09.912Z,"
                                                                +
                                                                BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                                                +

                                                                +
                                                                We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.

                                                                -
                                                                -The thesis here at Deep Genomics is that everyone, at some point in their life, will face a genetic condition, whether Mendelian or complex, and we aim to be there for them with a genetically precise therapy. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering.

                                                                -
                                                                Ideal Candidate
                                                                -
                                                                Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                                                -

                                                                What You’ll Be Doing:

                                                                -
                                                                    -
                                                                  • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                                  • -
                                                                  • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                                  • -
                                                                  • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                                  • -
                                                                  • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                What You Bring:

                                                                +

                                                                You Will:

                                                                    -
                                                                  • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                                  • -
                                                                  • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                                  • -
                                                                  • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                                  • -
                                                                  • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                                  • -
                                                                  • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                                  • -
                                                                  • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                                  • +
                                                                  • Own and drive execution of product and technical roadmaps
                                                                  • +
                                                                  • Take a leadership role in our recruiting, hiring, and onboarding processes
                                                                  • +
                                                                  • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                                                  • +
                                                                  • Help improve the processes and patterns of data engineering at BenchSci
                                                                  • +
                                                                  • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                                                  • +
                                                                  • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                                                  • +
                                                                  • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                                                  • +
                                                                  • Delegate tasks and manage all technical issues within your team
                                                                  • +
                                                                  • Work with your team to continuously drive improvements in quality and productivity
                                                                  • +
                                                                  • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                                                -

                                                                What we offer:

                                                                +

                                                                You Have:

                                                                    -
                                                                  • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                                  • -
                                                                  • A highly competitive salary and meaningful equity compensation.
                                                                  • -
                                                                  • Exceptional opportunities for learning and growth.
                                                                  • -
                                                                  • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                                                  • +
                                                                  • 5+ years of experience working as a professional developer
                                                                  • +
                                                                  • 2+ years of experience working as an engineering team manager
                                                                  • +
                                                                  • Experience in a leadership role providing technical direction to less senior staff
                                                                  • +
                                                                  • A proven track record of delivering complex development projects
                                                                  • +
                                                                  • Solid experience with relational databases and data modeling
                                                                  • +
                                                                  • Production experience with data processing tools such as Spark or Beam
                                                                  • +
                                                                  • Software engineering experience in Python
                                                                  • +
                                                                  • Well-versed in Agile practices
                                                                  • +
                                                                  • Strong leadership, engineering skills, and communication skills
                                                                  • +
                                                                  • The ability to understand and explain complex systems, and independently learn new technologies
                                                                -
                                                                -Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture that hires the best talent from around the world
                                                                +
                                                                A competitive compensation package that includes BenchSci equity options
                                                                +
                                                                Comprehensive health and dental benefits with an emphasis on mental health
                                                                +
                                                                An annual Executive Health Assessment at Medcan for proactive health awareness
                                                                +
                                                                Three weeks of vacation plus an additional day for every completed year
                                                                +
                                                                A $2000 Annual Learning & Development budget
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                                                +
                                                                A $1000 work from home allowance to make your home setup perfect for you
                                                                +
                                                                An Oculus Quest 2 to connect with your team members in Virtual Reality
                                                                +
                                                                An executive coach for managers to assist in leading high-performing teams
                                                                +
                                                                Complimentary Headspace account to support mental wellness and focus
                                                                +
                                                                Complimentary genome sequencing from 23andMe to better understand your health through your DNA

                                                                -
                                                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                                -
                                                                ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2022-10-03T15:01:00.000Z,False,0,30,121,https://talenthub.vectorinstitute.ai/jobs/147915000-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2022-09-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -a325aa5a-b3be-4623-9952-1dcdb3d9c769,148650374,RBC,Cyber data analytics and development (GCS),on_site,"Toronto, ON, Canada",2022-09-05T12:53:02.519Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Cyber data analytics and development (GCS)

                                                                +
                                                                Our Culture:
                                                                +
                                                                We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                                                +

                                                                +
                                                                Diversity, Equity, and Inclusion:
                                                                +
                                                                We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                                                +

                                                                +
                                                                Accessibility Accommodations:
                                                                +
                                                                BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-05-13T05:11:07.143Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/122858455-engineering-manager-data-remote-at-benchsci,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2,expired,2022-04-29T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, +d0ba544f-4db5-42a1-b798-4143f2bfdd0e,120460796,FreshBooks,Data/AI Evangelist (Canada - Remote),on_site,"Toronto, ON, Canada",2022-04-15T05:06:10.413Z,"

                                                                Data/AI Evangelist

                                                                +

                                                                About FreshBooks:

                                                                +

                                                                It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                                                +

                                                                About the Data Team:

                                                                +

                                                                The Data team is responsible for driving the adoption of data driven decision making across FreshBooks - for both our internal stakeholders and our global user base of small business owners, bookkeepers and accountants. We are the center of expertise for data strategy, data architecture, data modeling, machine learning, ethical data usage and artificial intelligence service design. We lead the effort to raise the data and AI literacy levels across FreshBooks and to embed our commitments to responsible data use into culture and practices across our fast-growing organization. Data strategy is an emerging specialist group, building global collaborations to define, communicate and drive a cohesive approach to data usage that combines commercialisation, consent, ethics and sustainability. They work with colleagues from diverse backgrounds to drive robust and mature decision making around using data as a commercial asset, aligned to our belief in the primacy of customer consent.

                                                                +

                                                                The Opportunity - Data/AI Evangelist

                                                                +

                                                                As a Data Evangelist on the Data team, you will work across the FreshBooks organization to showcase how we can drive value from our rich data assets, while raising data and AI literacy across the organization. This is an internal facing role, specifically focussed on working closely with Product, Engineering, Marketing & Sales to accelerate collaboration with the Data teams and drive in-app data product use cases. You will be reporting into and supporting the Productized Insights Team Lead, whose mission is to facilitate our internal teams to deploy and deliver customer facing data products that leverage our rich data asset. This is a unique role designed to be a catalyst for the integration of AI products within our platform, and is well suited to individuals with prior experience managing and delivering in-app data science and machine learning products.

                                                                +

                                                                What you'll do:

                                                                +
                                                                  +
                                                                • Establish and drive a scalable global data and AI literacy capability across FreshBooks
                                                                • +
                                                                • Help foster a data-driven culture, build trust in data
                                                                • +
                                                                • Establish and grow relationships with Product, Engineering, Marketing & Sales team leaders, to help drive adoption and use of data/ML products within those teams and across the organization.
                                                                • +
                                                                • Work closely with Product, Engineering, Marketing & Sales teams to help raise the level and complexity of data and data products usage, help teams become more data driven.
                                                                • +
                                                                • Develop training, workshops or case-studies bridge the gap between the technical expertise of data/ML teams and the business & product domains
                                                                • +
                                                                • Support data driven value discovery and facilitate data driven innovation in the product.
                                                                • +
                                                                • Develop a comprehensive approach to measuring the efficacy of the training initiative, including an estimation of the commercial benefit to FreshBooks
                                                                • +
                                                                • Identify and leverage the highest impact ways to grow knowledge across a fast growing organization where teams live with multiple, competing priorities
                                                                • +
                                                                • Seek to understand incentives and impediments around behavioral change and consider ways to make it easier for people to implement their new skills and knowledge
                                                                • +
                                                                • Use your understanding of the relationships between growing data skills and the quality of our data assets to work with the Data leadership team and relevant Product teams to highlight issues and improve the coherence and fidelity of our data.
                                                                • +
                                                                • Help uncover and translate business requirements and needs.
                                                                • +
                                                                • Help the business identify the right use cases and support prioritization based on feasibility and value.
                                                                • +
                                                                • Help with the development of a MVPs and business use cases
                                                                • +
                                                                +

                                                                +We think you'll be amazing for this position if your application can demonstrate: +

                                                                +
                                                                  +
                                                                • Proven experience leading, developing and executing data/AI literacy initiatives in corporate environments
                                                                • +
                                                                • Communicating the role and value of a data driven approach as well as associated strategy/blueprint within the organizational context
                                                                • +
                                                                • Building trust and credibility with stakeholders and successful, collaborative working relationships across the business
                                                                • +
                                                                • Influencing change in dynamic, complex environments with multiple competing priorities
                                                                • +
                                                                • 2+ years of product management experience and a consistent track record of delivering impact through engineering or product teams
                                                                • +
                                                                • 2+ years of experience shipping consumer-facing technology products at scale, with proven experience in recommendations, personalization, data engineering, or machine-learning based products
                                                                • +
                                                                +






                                                                ",,https://boards.greenhouse.io/freshbooks/jobs/4128775,feed-importer@jobboard.io,,,,2022-05-19T14:22:34.752Z,False,0,2,32,https://talenthub.vectorinstitute.ai/jobs/120460796-data-ai-evangelist-canada-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4128775,expired,2022-04-15T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +9ca4ba9b-5c26-4251-896a-9542a25fda1e,121086441,Accenture,Data Engineering Senior Manager,on_site,"British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-04-17T22:46:04.238Z,"

                                                                Job Description

                                                                Data Engineering Sr Manager

                                                                +

                                                                +

                                                                Location: Toronto/ Montreal/Ottawa

                                                                +

                                                                +

                                                                WORK YOU’LL DO

                                                                +

                                                                +

                                                                Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

                                                                +
                                                                  +
                                                                • Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.

                                                                • +
                                                                • Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers

                                                                • +
                                                                • Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated

                                                                • +
                                                                • Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders

                                                                • +
                                                                • Manage client expectations in terms of overall delivery along with Delivery leads on the ground

                                                                • +
                                                                • Establish methodology and accelerators to reduce initiation efforts from engagement to engagement

                                                                • +
                                                                +
                                                                  +
                                                                • Develop an overarching and compelling sales narrative around the offering

                                                                • +
                                                                • Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise

                                                                • +
                                                                • Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture

                                                                • +
                                                                • Bilingual French an asset

                                                                • +
                                                                +

                                                                +

                                                                JOB DESCRIPTION

                                                                +

                                                                +

                                                                Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

                                                                +

                                                                + +


                                                                +

                                                                Qualifications

                                                                +

                                                                Basic Qualifications

                                                                +

                                                                +
                                                                  +
                                                                • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                                                                • +
                                                                • Minimum 10+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

                                                                • +
                                                                • Minimum 10+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                                                                • +
                                                                • Minimum 10+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                                                                • +
                                                                • Minimum 10+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                                                                • +
                                                                • Minimum 10+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                                                                • +
                                                                +

                                                                +

                                                                Preferred Skills

                                                                +

                                                                +

                                                                Minimum 10+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

                                                                +

                                                                Minimum 10+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

                                                                +

                                                                Minimum 10+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

                                                                +

                                                                Minimum 10+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

                                                                +

                                                                Minimum 10+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

                                                                +

                                                                Minimum 10+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

                                                                +

                                                                +
                                                                +

                                                                Locations

                                                                British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                                +
                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement

                                                                +

                                                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                                +

                                                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                                +

                                                                Requesting An Accommodation

                                                                +

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                +

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                                +

                                                                Other Employment Statements

                                                                +

                                                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                                +

                                                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-19T14:25:23.837Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/121086441-data-engineering-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,expired,2022-04-17T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +44cfdc8c-9257-4635-a67e-35df6089f6e7,123650697,Deloitte,Omnia AI: Data Scientist - Co-op/Intern - Multiple Locations,on_site,"Ontario, Canada",2022-05-02T16:39:58.490Z,"

                                                                Date: Apr 6, 2022

                                                                +

                                                                Location: Multiple Locations, Canada

                                                                +

                                                                Company: Deloitte

                                                                +

                                                                Job Type: Co-op/Intern
                                                                Reference code: 102026
                                                                Primary Location: Multiple Locations, Canada
                                                                All Available Locations: Montreal; Calgary; Ottawa; Toronto; Vancouver

                                                                -

                                                                Job Description

                                                                +

                                                                Our Purpose

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                Be part of a dynamic group which help develop and maintain data monitors services around user behavioral risks using advanced data modelling techniques to highlight and then minimize identified exposures. The data protection team utilize in-house built services and continuously enhance and expand data modelling for ongoing insights to help investigation outcomes.

                                                                +

                                                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                +

                                                                +

                                                                By living our Purpose, we will make an impact that matters.

                                                                +

                                                                +

                                                                We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                                                                +

                                                                +

                                                                What will your typical day look like?

                                                                +

                                                                +

                                                                You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                                                                +

                                                                +

                                                                About the team

                                                                +

                                                                +

                                                                Omnia AI’s Data Science team is multi-discipline team of over 50 people across offices in Vancouver, Calgary, Montreal, and Toronto. The lead in identifying use cases, designing and building models, and working with Omnia peers to deploy large-scale solutions in data science. Applications include domains of supply chain management, customer & marketing, in government, financial services, energy and resources, consumer, and healthcare industries.

                                                                +

                                                                +

                                                                Enough about us, let’s talk about you

                                                                -

                                                                What will you do?

                                                                  -
                                                                • Assemble and analyze large, complex data sets that meet business and team requirements.
                                                                • -
                                                                • Build and maintain data pipelines from varied sources to enable complex management reporting.
                                                                • -
                                                                • Build, run and maintain python scripts for building reporting automation.
                                                                • -
                                                                • Model complex employee related behaviors using algorithmic, data mining, and visualization techniques
                                                                • -
                                                                • Leverage data driven insights and provide opinions on key risk indicators.
                                                                • -
                                                                • Identify key risk indicators to measure and contribute to the development of behavioral based rules and oversight.
                                                                • -
                                                                • Identify and address issues with policy compliance through analysis; monitoring and assessing cyber events.
                                                                • -
                                                                • Develops technology based tools and performs data analysis to monitor, measure, and manage discovered risks.
                                                                • -
                                                                • Implements monitoring to ensure discovered data risks are reviewed and actioned.
                                                                • -
                                                                • Develop action plans to resolve issues and re-designs processes to better manage, measure, and monitor exposure risks.
                                                                • +
                                                                • Enrolled in an undergraduate or graduate degree in mathematics, computer science, computer engineering or other related programs, returning to school following the co-op term
                                                                • +
                                                                • Able to look at objectives and data and apply the right data science technique given both
                                                                • +
                                                                • Can find value in data and how it helps companies achieve real and strategic value
                                                                • +
                                                                • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                                                                • +
                                                                • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                                                                • +
                                                                • Exposure/experience in data science toolkit Python, R, SQL, and others
                                                                • +
                                                                • Exposure to cloud technologies from Google, Amazon and Microsoft

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                +

                                                                Ottawa Only: Employees in the Ottawa practice will be required to obtain “reliability” and/or “Secret” level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status you must have resided in Canada for the last five (5) years and for ""Secret"" level, the last ten (10) years.

                                                                +

                                                                +

                                                                Our shared values

                                                                +

                                                                +

                                                                While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                                                                +

                                                                They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                                                                +

                                                                +

                                                                Every day, we live our Purpose through the following five shared values:

                                                                +

                                                                • -Experience with requirements gathering and documentation. -
                                                                • +Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                                                                • -Experience with programming and scripting languages using Python and SQL as a primary data store. -
                                                                • +Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                                                                • -Understanding of data management practices (manipulating, processing and extracting large, disconnected datasets) and managing data pipelines using analytics service ex. Dataiku, Python and API based services. -
                                                                • +Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                                                                • -Experience with web application development, application event analysis and API integrations. -
                                                                • +Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                                                                • -Knowledge of cyber security standards, risks, threats, protection measures, and industry best practices in a financial regulatory space. -
                                                                • -
                                                                • Experience providing operational support, issue identification and remediation in complex environments.
                                                                • -
                                                                -

                                                                -

                                                                Nice-to-have

                                                                -
                                                                  -
                                                                • Development experience using other programming languages and or frameworks.
                                                                • -
                                                                • Extensive experience with data science and modelling.
                                                                • -
                                                                • Industry security related training and certifications.
                                                                • +Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                                                                +



                                                                The next step is yours

                                                                Sound like The One Firm. For You? Apply by May 15, 2022 @ 11:59pm ET.

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                                                                -
                                                                  -
                                                                • Work on and influence data protection services which are the core of decision making and ongoing risk management practices.
                                                                • -
                                                                • Develop and manage future proof services with strong links to data science practices and outcomes.
                                                                • -
                                                                • Ability to embrace the art of the possible in everyday work.
                                                                    -
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, and competitive compensation.
                                                                  • -
                                                                  • Work with leaders who support your development through coaching and managing opportunities.
                                                                  • -
                                                                  • Ability to make a difference and lasting impact.
                                                                  • -
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                                  • -
                                                                  • Flexible work/life balance options.
                                                                  • -
                                                                  • Opportunities to do challenging work.
                                                                  • -
                                                                  • Opportunities to take on progressively greater accountabilities.
                                                                  • -
                                                                  • Access to a variety of job opportunities across business and geographies.
                                                                  • -
                                                                  -
                                                                • -
                                                                +

                                                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                +

                                                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                                -

                                                                Job Summary

                                                                Monitors data usage risks and implements risk management systems and processes to minimize any exposure of data. Apply advanced analytical and development skills to highlight and action key risks using modelling and programmatic solutions.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Technology and Operations

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-09-01-07:00

                                                                Application Deadline:

                                                                2022-09-30-07:00
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000025459/Cyber-data-analytics-and-development-GCS,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-10-03T15:09:00.000Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/148650374-cyber-data-analytics-and-development-gcs-at-rbc,,expired,2022-09-05T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -16dc1078-17f3-460c-bbf0-951fac040270,163585319,TELUS,Data Analyst- Collaborative Health,on_site,"Ontario, Canada",2022-11-05T17:42:03.250Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -

                                                                -

                                                                Join our team

                                                                -

                                                                -

                                                                Be a part of a transformational journey with innovative talent and leading edge technologies.

                                                                -

                                                                -

                                                                Our team and what we’ll accomplish together

                                                                -

                                                                -

                                                                Do you thrive in a fast-paced, team centric environment? Are you a detailed-oriented person who loves solving problems by leveraging creative solutions? Do you want to be in a space where your knowledge and experience are used and fostered? Read on as this is the job for you!

                                                                -

                                                                -

                                                                As a key member of the TELUS Health Collaborative Health team, you will be joining a growing team of Analysts in transforming and converting health data for Canadian physicians on a TELUS EMR (Electronic Medical Record) platform. This exciting opportunity will allow you to leverage your experience and skill set within an innovative and collaborative environment while performing meaningful work that is crucial to the success of our TELUS Health EMR platforms.

                                                                -

                                                                -

                                                                This position will be a contract role for approximately 18-20 months.

                                                                -

                                                                -

                                                                What you’ll do

                                                                +

                                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                +


                                                                Job Segment: Database, Scientific, Intern, Engineer, Developer, Engineering, Technology, Entry Level

                                                                ",,https://careers.deloitte.ca/job/Omnia-AI-Data-Scientist-Co-opIntern-2023-Multiple-Locations/869574200/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,True,0,12,87,https://talenthub.vectorinstitute.ai/jobs/123650697-omnia-ai-data-scientist-co-op-intern-multiple-locations-at-deloitte,,expired,2022-05-02T16:39:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, +05b0fc34-0460-47ba-9160-18f219ab716d,123740749,Scotiabank,Data Engineer - Canadian Business Banking,on_site,Canada : Ontario : Toronto,2022-05-03T05:06:07.561Z,"

                                                                -

                                                                As part of the team, you’ll be responsible for:

                                                                -
                                                                  -
                                                                • Extracting data from various source systems and data stores by performing light business coding (ex. Java, Python, C#, etc.)
                                                                • -
                                                                • Connecting with our customers to conduct requirement gathering and performing data validations
                                                                • -
                                                                • Mapping and transforming data using various techniques (ex. XSLT, MapForce, scripting, etc.) based on customer input and requirements
                                                                • -
                                                                • Performing ad-hoc queries (ex. SQL, LINQ, etc.) and reports to analyze customer data before and after migration
                                                                • -
                                                                • Planning and performing go-live transformation and validation to ensure no data is lost or corrupted
                                                                • -
                                                                • Executing production data migrations (requires occasional evening/weekend work)
                                                                • -
                                                                • Collaboration with various teams across the business to identify roadblocks and resolve issues, to ensure timely completion for each project
                                                                • -
                                                                • Contributing to ongoing development and refinement of data migration tools and processes
                                                                • -
                                                                • Tracking issues, communicating project status, and managing project risk
                                                                • -

                                                                +

                                                                Requisition ID: 147780

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                +


                                                                Data Engineer, Analytics and Business Planning – Canadian Business Banking

                                                                +


                                                                Purpose

                                                                +


                                                                In this role you will contribute to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -

                                                                What you bring

                                                                +

                                                                The Data Engineer role supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                                -
                                                                  -
                                                                • Graduation from a post-secondary institution specializing in related technologies
                                                                • -
                                                                • 2+ years of experience working on data transformation or development projects
                                                                • -
                                                                • 2+ years of working with SQL/TSQL
                                                                • -
                                                                • 2+ years of working with XML and related tools (ex. XSL/XPath)
                                                                • -
                                                                • 2+ years of working with a scripting language (ex. Bash/JavaScript/Python/Perl/etc.)
                                                                • -
                                                                +

                                                                This role sits at the intersection of Business and Technology and provides the successful candidate the opportunity to make their mark on the operations of a large international bank. This position is well suited to someone who has a strong analytical background, who is looking to grow in thought leadership and who will use their knowledge and skill sets to have an impact on the organization.

                                                                -

                                                                Technical Knowledge:

                                                                +

                                                                Accountabilities:

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                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                                +


                                                                • Supports the development and management of database and Business Intelligence for Business Banking

                                                                +


                                                                 Build data architecture for Business Banking
                                                                 Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                                 Architect the generation of powerful datasets to bring successful analytics to market
                                                                 Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                                 Learn the business strategy and generate ideas for insightful tools

                                                                -
                                                                  -
                                                                • SQL/TSQL
                                                                • -
                                                                • Data Transformation Scripting and Mapping (ex. XML, XSL/XPath)
                                                                • -
                                                                • Familiarity with databases such as MSSQL, Oracle, MySQL, etc.
                                                                • -
                                                                • Scripting (ex. Python/Groovy) or development (ex. Java/C#)
                                                                • -
                                                                • Linux/Unix and Groovy an asset
                                                                • -
                                                                +

                                                                • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics

                                                                +


                                                                 Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                                 Work with data users to ensure datasets produced are meet their analytic needs
                                                                 Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as adhoc analytic needs
                                                                 Enable quick speed to market for new data needs for the Business Bank

                                                                -

                                                                Functional Skills:

                                                                +

                                                                • Manage hardware environment and analytical playground for the Business Bank

                                                                +


                                                                 Manage hardware environment and software requirement for the database
                                                                 Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team

                                                                -
                                                                  -
                                                                • Detail oriented
                                                                • -
                                                                • Avid problem solver
                                                                • -
                                                                • Ability to communicate both verbally and written in English, French is an asset
                                                                • -
                                                                • Ability tmulti-task and manage numerous concurrent projects
                                                                • -
                                                                • Strong analysis and problem solving skills with the ability to identify root cause
                                                                • -
                                                                • Ability to communicate in an effective and respectful manner with customers and fellow team members
                                                                • -
                                                                • Self-directed in completing project-based work
                                                                • -
                                                                +

                                                                • Bring cutting edge data solutions and next generation technology to Scotiabank

                                                                +


                                                                 Keep abreast with latest database technology and data solutions
                                                                 Actively bring new cutting edge solutions to Scotiabank

                                                                -

                                                                Great-to-haves

                                                                +

                                                                • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                                +


                                                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                                +


                                                                Educational Requirements:

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                                                                • Bachelor’s degree in Computer Science or related field or relevant experience
                                                                • Master’s degree in Computer Science – preferred

                                                                -
                                                                  -
                                                                • Agile & Project Management skills
                                                                • -
                                                                • Experience with Ruby On Rails would be an advantage
                                                                • -
                                                                • Understanding of Network Infrastructure
                                                                • -
                                                                • Medical experience or clinical workflow as asset
                                                                • -
                                                                • Experience with HL7, CoPD and CDS/CMS XML standards
                                                                • -
                                                                • Experience with the Atlassian tool suite (ex. Jira, Bitbucket, Confluence)
                                                                • -
                                                                • MapForce an asset
                                                                • -
                                                                +

                                                                Experience:

                                                                +


                                                                • 5+ years of data engineering and software experience in a Banking environment required
                                                                • Strong Communication skills for Internal stakeholder collaboration
                                                                • Experience with large data sets and working with Hadoop, NoSQL databases, and/or graph databases
                                                                • Experience with Python and/or Scala
                                                                • Hands-on development in a distributed data environment an asset
                                                                • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                                                • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                                                • Experience with Business Intelligence Tools: Power BI, Tableau
                                                                • Advanced Proficiency with Excel (charts/graphs)
                                                                • Previous banking experience is an asset

                                                                +

                                                                Skills:

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                                                                • Excellent verbal and written communication skills are required
                                                                • Strong prioritizing and analytical skills
                                                                • High degree of knowledge of commercial products and profit drivers
                                                                • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. Works with various partners using influence and negotiation skills to ensure objectives are met.
                                                                • Strong technical skills in Math, Computer Science or related fields
                                                                • Excellent design and delivery capabilities

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Halifax-Data-Analyst-Collaborative-Health-Nova/562036117/,feed-importer@jobboard.io,,,,2022-11-24T15:37:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/163585319-data-analyst-collaborative-health-at-telus,,expired,2022-11-05T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -0e2e205a-a59e-49d5-9db6-0452ef5c33a1,164022015,University of Toronto,POSTDOCTORAL FELLOWSHIP,on_site,"Toronto, ON, Canada",2022-11-07T15:05:03.763Z,"

                                                                Overview: 1. Modest additional funding for conference travel and research training activities will also be made available to Fellows during their tenure in the program.
                                                                2. There is a possibility for a 3rd year global research exchange, industry internship, and/or teaching-focused postdoctoral experience, pending the availability of funding from the host supervisor(s), Mitacs, and/or an alternate source of funding.

                                                                Program:
                                                                The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural sciences or engineering and aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program funds cutting edge applications of AI in the natural sciences and engineering and creates a community of interdisciplinary leaders. Applicants must demonstrate clear expertise and promise within their field of study. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related computational skills to support new directions in the application of AI.

                                                                ELIGIBILITY

                                                                -

                                                                APPLICANTS MUST:

                                                                -
                                                                  -
                                                                • Demonstrate academic excellence and high potential for success in their chosen fields.
                                                                • -
                                                                • Have completed all requirements for their doctoral degree no earlier than January 1, 2020*. (Updated, Nov. 1) If within two years following the date of completion of your PhD, you had your career significantly interrupted due to parental, medical and/or family-related responsibilities, or due to research related slowdowns or shutdowns caused by the Covid-19 pandemic, the eligibility period will be extended to Jan 2019. If this applies, applicants should add a section at the end of their CV describing special circumstances and career interruptions.
                                                                • -
                                                                -

                                                                APPLICATION REQUIREMENTS

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                                                                  -
                                                                • Applications must be submitted to the Schmidt Futures Program Manager at schmidtfutures@utoronto.ca
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                                                                • Email subject line (for both applicant and supervisor): APPLICANT NAME: SCHMIDT FELLOWS PDF APPLICATION
                                                                • -
                                                                • Incomplete applications will not be accepted.
                                                                • -
                                                                -
                                                                  -
                                                                • -Note: International candidates need to have completed their PhD prior to their start date, while Canadian citizens and permanent residents are required to have completed their PhD within 6 months of their start date. -
                                                                • -
                                                                • Not hold another Postdoctoral Fellowship in conjunction with the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. Applicants holding a Postdoctoral Fellowship at the time of award will be required to resign from their position before taking up the award.
                                                                • -
                                                                -
                                                                  -
                                                                • Hold a degree in a natural sciences or engineering (NSE) discipline.
                                                                • -
                                                                • Be associated with at least one primary supervisor who has a status or budgetary appointment at the University of Toronto. If the primary supervisor does not have expertise in AI, a co-supervisor with expertise in AI is required.
                                                                • -
                                                                • Begin the Fellowship no later than March 1, 2023 (ideally in January 2023).
                                                                • -
                                                                -

                                                                SUPERVISORS MUST:

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                                                                REQUIRED APPLICATION COMPONENTS

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                                                                1. -Postdoctoral Applicant Components (please submit as one PDF file):

                                                                  a.
                                                                  Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Application Form (instructions for below narrative sections within form)

                                                                  b. Research Proposal (3 pages maximum)

                                                                  c. Training Plan (1 page maximum)

                                                                  d. References (1 page maximum)

                                                                  e. Applicant’s CV

                                                                  f. Applicants are also required to complete and submit the Applicant Demographic Survey as part of their application. All survey answers will remain confidential and will not be used as part of the evaluation of your application or any other future application.
                                                                -

                                                                -
                                                                1. -Supervisor Application Components: Proposed primary supervisor(s) must hold an appointment at the University of Toronto and be eligible Principal Investigators, according to the University of Toronto PI eligibility criteria.

                                                                  a. Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Supervisor’s Assessment Form (submitted by the supervisor)

                                                                  b. One confidential Letter of reference outlining, the applicant's research excellence, the merit of the proposed research, and the suitability of the proposed research environment.
                                                                -

                                                                Note: The primary supervisor is required to collect this letter on behalf of the applicant and submit it with their completed supervisor form.

                                                                -

                                                                EVALUATION AND SELECTION PROCESS

                                                                -

                                                                The Selection Committee, which will meet each competition year to evaluate and recommend top candidates, will reflect the broad diversity of individuals and disciplines within the NSE disciplines and will include experts from across the University of Toronto. The Chair of the Selection Committee will play the role of Equity Officer. Members of the Selection Committee are expected to reinforce standards of rigor, fairness, respect and equity, diversity and inclusion throughout the adjudication process. The VPRI Best Practices in Peer Review Guide shall serve as a resource for members of the Selection Committee.

                                                                -

                                                                The single criteria for the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship is demonstrated academic excellence and high potential for success in the chosen field. The multidisciplinary selection committee members assess this through their evaluation of each applicant’s:

                                                                -
                                                                  -
                                                                1. Application form
                                                                2. -
                                                                3. Research Proposal
                                                                4. -
                                                                5. Training Plan
                                                                6. -
                                                                7. CV
                                                                8. -
                                                                9. The postdoctoral fellowship supervisor’s statement, and
                                                                10. -
                                                                11. one letter of reference
                                                                12. -
                                                                -

                                                                IMPORTANT INFORMATION

                                                                -
                                                                  -
                                                                • -
                                                                  Please consult the information regarding postdoctoral fellowships at the University of Toronto on the website of the School of Graduate Studies.
                                                                • -
                                                                • Canadian citizens and permanent residents must have completed their PhD requirements no later than six months after their start-date of an Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship.
                                                                • -
                                                                • International applicants must have completed their PhD requirements before the start date. In each instance, proof of PhD completion must be provided within three months of completion if the applicant did not have it in hand at the time of application. Degree completion does not mean convocation, but rather the completion of all the requirements necessary for the PhD.
                                                                • -
                                                                • Eric and Wendy Schmidt AI in Science Postdoctoral Fellows may not concurrently hold another postdoctoral fellowship.
                                                                • -
                                                                • Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE Unit 5 Collective Agreement. The normal hours of work are 40 hours per week for a full-time postdoctoral fellow (pro-rated for those holding a partial appointment) recognizing that the needs of the employee’s research and training and the needs of the supervisor’s research program may require flexibility in the performance of the employee’s duties and hours of work.
                                                                • -
                                                                • Requests for award interruptions for reasons that are not outlined within Article 11 (Leaves) of the CUPE Unit 5 Collective Agreement will not normally be considered.
                                                                • -
                                                                • The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from visible minority group members, women, Indigenous persons, persons with disabilities, members of sexual minority groups, and others who may contribute to the further diversification of ideas.
                                                                • -
                                                                -

                                                                At the University of Toronto, we strive to be an equitable and inclusive community, rich with diversity, protecting the human rights of all persons, and based upon understanding and mutual respect for the dignity and worth of every person. We seek to ensure to the greatest extent possible that all students and employees enjoy the opportunity to participate as they see fit in the full range of activities that the University offers, and to achieve their full potential as members of the University community.

                                                                -


                                                                ",,https://schmidtfellows.utoronto.ca/apply,schmidtfutures@utoronto.ca,http://www.utoronto.ca,,,2022-11-24T15:36:00.000Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/164022015-postdoctoral-fellowship-at-university-of-toronto,,expired,2022-11-07T15:05:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, -84aceda5-b0ca-4473-86c8-808a5b8928ce,188512113,Georgian,Machine Learning Scientist - Intern,on_site,"Toronto, ON, Canada",2023-01-19T20:28:53.397Z,"

                                                                Georgian

                                                                -

                                                                -

                                                                is a fintech company that invests in high growth technology companies

                                                                -

                                                                that harness the power of data in a trustworthy way. Georgian’s

                                                                -

                                                                investments include Shopify, ClickUp, Xanadu, and Vention. You can see our full portfolio here.
                                                                At

                                                                -

                                                                Georgian, we’re building a platform to provide a better experience of

                                                                -

                                                                growth capital to software company CEOs and their teams, using an

                                                                -

                                                                intelligent, data-first approach to solving the key challenges CEOs face

                                                                -

                                                                as they grow their businesses.
                                                                Based in

                                                                -

                                                                Toronto, Georgian’s team brings together software entrepreneurs, machine

                                                                -

                                                                learning experts, experienced operators and investment professionals.
                                                                We

                                                                -

                                                                work on helping our companies accelerate the adoption of machine

                                                                -

                                                                learning, apply transfer learning to solve cold-start problems and

                                                                -

                                                                deliver machine learning solutions under strong privacy constraints. We

                                                                -

                                                                contribute back to the open-source community by building software

                                                                -

                                                                libraries based on successful projects. We also drink our own champagne

                                                                -

                                                                by using machine learning to find the best companies to invest in. Check

                                                                -

                                                                out our Medium page to get to know more about our past projects.
                                                                If you want to know what it’s like to work at our team, listen directly from one of our Applied Research Scientists and from our Head of Machine Learning and Applied Research!

                                                                -

                                                                Join us if you are interested in:

                                                                -
                                                                    -
                                                                  • Solving and adopting solutions to real-world business challenges in various companies by leveraging fundamental research
                                                                  • -
                                                                  • Working with people with diverse expertise
                                                                  • -
                                                                  • Advancing our applied research in Multimodal reasoning
                                                                  • -
                                                                  • Working in a flexible environment that allows for publications such as research papers, technical reports and blog posts
                                                                  • -
                                                                -

                                                                What you will bring:

                                                                -
                                                                    -
                                                                  • Proficiency in Python and relevant libraries, such as Sklearn, Numpy, and PyTorch
                                                                  • -
                                                                  • Deep understanding of Machine Learning concepts and familiarity in Computer Vision (CV) and Natural Language Processing (NLP)
                                                                  • -
                                                                  • Ability to plan and execute research roadmaps
                                                                  • -
                                                                  • Strong communication skills
                                                                  • -
                                                                  • Knowledge of Multimodal Reasoning and experience with HuggingFace are preferred
                                                                  • -
                                                                -

                                                                If

                                                                -

                                                                this sounds like an opportunity you are interested in, we would love to

                                                                -

                                                                chat. Please apply by telling us why you think you would be a great fit

                                                                -

                                                                for this role by Jan.19th, 2023, 5pm EST.
                                                                Georgian

                                                                -

                                                                is passionate about creating a diverse and inclusive workplace. We

                                                                -

                                                                promote equality and strive to provide all current and prospective

                                                                -

                                                                employees with support and opportunities.
                                                                Reasonable

                                                                -

                                                                accommodations are available to job applicants on request and

                                                                -

                                                                throughout the application process. If you require accommodation, please

                                                                -

                                                                contact peopleoperations@georgian.io.

                                                                ",,https://jobs.lever.co/georgian/5804ae73-ddeb-48fa-b737-edb53452470e,aitalent@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2023-01-23T23:29:00.000Z,True,0,28,113,https://talenthub.vectorinstitute.ai/jobs/188512113-machine-learning-scientist-intern-at-georgian,,expired,2023-01-19T20:28:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -1e05996d-5fc5-4186-84b8-3e54d4f27a8b,188132853,BMO Financial Group,"Business Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-18T17:12:03.400Z,"
                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                -

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                -

                                                                -

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                -

                                                                -
                                                                -

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                -

                                                                -

                                                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                                                -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                -
                                                                  -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • -
                                                                • Analyzes issues and determines next steps.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                                                • -
                                                                • Knowledge of website analytics tools.
                                                                • -
                                                                • Specialized knowledge.
                                                                • -
                                                                • Verbal & written communication skills - Good.
                                                                • -
                                                                • Organization skills - Good.
                                                                • -
                                                                • Collaboration & team skills - Good.
                                                                • -
                                                                • Analytical and problem solving skills - Good.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-24T17:17:02.769Z,False,0,7,15,https://talenthub.vectorinstitute.ai/jobs/188132853-business-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-18T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -dfe076c3-d345-4d71-8f6d-6bbd3dfec0b1,189730410,TD Bank Group,Senior Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-01-24T17:24:03.296Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,feed-importer@jobboard.io,,,,2022-05-16T15:26:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/123740749-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,expired,2022-05-03T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +009859c6-2618-4ffb-ae05-0609354b8ef7,124172050,TD Bank Group,"Forecasting & data analyst, Analytics & Modelling",on_site,"Toronto, ON",2022-05-05T21:04:02.145Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -41650,150 +41084,180 @@ dfe076c3-d345-4d71-8f6d-6bbd3dfec0b1,189730410,TD Bank Group,Senior Machine Lear

                                                                Department Overview

                                                                -
                                                                -

                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                -
                                                                +

                                                                TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.
                                                                In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.
                                                                At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                                                                Job Description

                                                                -

                                                                The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                                -

                                                                We are looking for experienced Senior Machine Learning Product Engineers (Engineering Lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They also are experts in data engineering and/or machine learning.

                                                                -

                                                                The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                                -

                                                                What are your main responsibilities?

                                                                -
                                                                  -
                                                                • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development

                                                                • -
                                                                • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system

                                                                • -
                                                                +

                                                                The Acquisition, Marketing and Digital (“AMD”) team combines talent from BI analysts, data scientists, and actuaries to propose and develop solutions to support our partners’ strategies. AMD is responsible for the forecast, assessment and measurement of targeted initiatives by using, maintaining and developing various databases, tests, analyses and predictive models. Initiatives supporting our partners are designed to drive profitable growth, to have long-term potential and to be customer-focused.
                                                                In this role the analyst AMD will significantly contribute to the organization’s profitability by being involved in the following key activities:

                                                                  -
                                                                • Go-to person for data and model delivery within Layer 6

                                                                • -
                                                                • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                                                                • +
                                                                • Forecast impact of marketing and acquisition activities on annual plan
                                                                • +
                                                                • Leverage large databases to create powerful measurement reports from projects and test and learn initiatives
                                                                • +
                                                                • Perform numerous analyses to support targeted profitable growth
                                                                • +
                                                                • Identify opportunities for simplification and automation in existing processes
                                                                • +
                                                                • Remain accountable for the success of acquisition, marketing and digital initiatives and drive results to achieve expected benefits and outcomes

                                                                Requirements

                                                                -
                                                                -

                                                                Required Technical Skills

                                                                -
                                                                  -
                                                                • BSc+ in Computer Science, Math, Physics, or similar

                                                                • -
                                                                • 5+ years of extensive programming experience, at least 3 years in building production data systems

                                                                • -
                                                                -
                                                                  -
                                                                • 3+ years experience of building machine learning production system

                                                                • -
                                                                • Expert level skills in system design

                                                                • -
                                                                • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch

                                                                • -
                                                                • Strong knowledge of Machine Learning and Deep Learning

                                                                • -
                                                                • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

                                                                • -
                                                                -
                                                                  -
                                                                • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS

                                                                • -
                                                                • Strong experience with Scala and Java 8

                                                                • -
                                                                -

                                                                Nice to have Skills

                                                                -
                                                                • C++, Python experience

                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Benefits

                                                                -
                                                                  -
                                                                • Entrepreneurial and inclusive culture

                                                                • -
                                                                • Excellent health coverage and pension plan

                                                                • -
                                                                • Four weeks paid vacation

                                                                • -
                                                                • -

                                                                  Catered lunches twice a week over machine learning talks

                                                                  -

                                                                  #LI-Hybrid

                                                                  -
                                                                • -
                                                                -
                                                                +
                                                                  +
                                                                • Bachelor’s or Master’s degree in BI, Statistics, Actuarial or related field;
                                                                • +
                                                                • Knowledge of an open source programming language
                                                                • +
                                                                • Has a strong database and data manipulation skills;
                                                                • +
                                                                • Effective written and oral communication skills in French and English;
                                                                • +
                                                                • Strong collaborator who engages colleagues, business partners and external stakeholders;
                                                                • +
                                                                • Superior interpersonal, communication and presentation skills with ability to present information or arguments in a convincing manner
                                                                • +
                                                                • Shows initiative and creativity in their work
                                                                • +

                                                                Hours

                                                                -
                                                                37.5
                                                                +
                                                                35

                                                                Inclusiveness

                                                                -
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/189730410-senior-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a548e086-fbde-4a93-90b5-8937f5220caa,183865777,TD Bank Group,Data Science & Advanced Analytics Co-op/Intern,on_site,"Toronto, ON",2023-01-05T17:24:03.947Z,"
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/124172050-forecasting-data-analyst-analytics-modelling-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +592e5c0d-6dcd-457e-96a7-8b1c5c2da4a9,124172055,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-05-05T21:04:03.997Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                -

                                                                Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -

                                                                Department Overview

                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                -
                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • -
                                                                +

                                                                The Marketing Technologies & Analytics (MT&A) function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                +

                                                                The MT&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                Job Description

                                                                -

                                                                JOB DESCRIPTION

                                                                -

                                                                You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Science & Advanced Analytics Co-op/Intern is a 4/8/12-month work term opportunity in data and analytics. The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, we are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                                                                -

                                                                The The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, which may include:

                                                                +

                                                                The successful candidate will act as a SME within the Marketing Campaign Delivery group to support the Visa Debit portfolio and personalization. Your success will be predicated on your ability to understand business objectives and challenges, forge strong partnerships, communicate effectively, design and execute best-in-class targeted programs, and continuously strive for increased efficiency.

                                                                +

                                                                Responsibilities

                                                                  -
                                                                • Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                                                • -
                                                                • Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                                                • -
                                                                • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                                                • -
                                                                • Build production-scale solutions and work with deployment teams to integrate in business operations
                                                                • -
                                                                • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                                                • +
                                                                • Support the end-to-end delivery of targeted campaigns on Visa Debit portfolio
                                                                • +
                                                                • Provide thought leadership in the rollout personalization in EDB portfolio, providing insights for best practices to effectively scale and adopt the new capability across the EDB analytics team
                                                                • +
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • +
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • +
                                                                • Ensure required quality control checks are in place – always adhere to QC processes as new programs are created
                                                                • +
                                                                • Manage project pipeline to ensure agreed upon timelines are met
                                                                • +
                                                                • Liaise with other functions within MT&A (modeling, data governance, data engineering etc.) ensuring all dependencies are in place to meet campaign requirements
                                                                • +
                                                                • Execute with excellence, and disseminate key learnings to the rest of team to raise the execution level
                                                                • +
                                                                • Act as a leader on the team; provide advisory support and feedback to Sr Managers and Executives

                                                                Requirements

                                                                  -
                                                                • -JOB REQUIREMENTS

                                                                  Assigned Line of Business Requirements

                                                                  -
                                                                • -
                                                                • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
                                                                • -
                                                                • Strong statistical and analytical skills and interest are necessary.
                                                                • -
                                                                • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                                                                • -
                                                                • Experience in Python, SQL and/or other data-related programming languages.
                                                                • -
                                                                • Experience with visualizations and building dashboards in Tableau is considered an asset.
                                                                • -
                                                                • Knowledge/experience with machine learning is considered an asset.
                                                                • -
                                                                • Experience with Data Management, Analytics, and Project Management is a plus.
                                                                • +
                                                                • Hands on experience with strategy, design, execution, quality control, and measurement of 1:1 targeted campaigns
                                                                • +
                                                                • Working knowledge of direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                -

                                                                ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Early Talent Requirements

                                                                  -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                • +
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS
                                                                • +
                                                                • Technical and detail oriented
                                                                • +
                                                                • A project management mindset to help deliver on time to specifications
                                                                • +
                                                                • Pragmatic decision maker blending a mix of intellect and hands on experience
                                                                • +
                                                                • Business results driven mindset
                                                                • +
                                                                • Comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
                                                                -

                                                                ADDITIONAL INFORMATION
                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                +

                                                                Qualifications

                                                                  -
                                                                • This position is a 4-month work term and will commence May 1st, 2023 – August 25th, 2023.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                • 7+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high-volume direct marketing industries)
                                                                • +
                                                                • Significant experience with HCL/IBM Unica Suite – Unica Interact & Campaign
                                                                • +
                                                                • Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements
                                                                • +
                                                                • Experience designing and executing campaigns, and improving successful direct marketing experiments (i.e. acquisition, customer management, loyalty, engagement)
                                                                • +
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                • +
                                                                • Understanding of Privacy regulations relating to customer contact preferences (CASL, DNC, DNS etc.)
                                                                • +
                                                                • Familiarity with OMLC an asset
                                                                • +
                                                                • Degree in business, marketing, science, statistics, engineering, or other quantitative discipline
                                                                -

                                                                HOURS
                                                                Monday-Friday, standard business hours
                                                                INCLUSIVENESS
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                +

                                                                Hours

                                                                37.5

                                                                -

                                                                Start Date

                                                                -
                                                                – Summer
                                                                -

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,35,105,https://talenthub.vectorinstitute.ai/jobs/183865777-data-science-advanced-analytics-co-op-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -c8da13c5-9f11-4bf7-9b4a-cadd8fe88d3d,189730408,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-01-24T17:24:03.184Z,"
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/124172055-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c45b284d-8ffc-4429-bd68-aafb725be038,125122640,Borealis AI,Machine Learning Software Engineer - Montreal,on_site,"Ontario, Canada",2022-05-12T21:46:02.179Z,"

                                                                What\'s the opportunity?

                                                                +
                                                                +

                                                                We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                                +

                                                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                                +

                                                                Your responsibilities include:

                                                                +
                                                                  +
                                                                • Building machine learning-based software solutions for solving important problems;
                                                                • +
                                                                • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                                • +
                                                                • Collaborating with research and business teams to converge on the best solutions;
                                                                • +
                                                                • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                                • +
                                                                • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                                • +
                                                                • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                                • +
                                                                • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                                • +
                                                                +

                                                                You\'re our ideal candidate if you:

                                                                +
                                                                  +
                                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                                • +
                                                                • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                                • +
                                                                • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                                • +
                                                                • Familiarity with the Unix command line and bash scripting;
                                                                • +
                                                                • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                                • +
                                                                • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                                • +
                                                                • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                                • +
                                                                • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                                • +
                                                                +
                                                                +

                                                                What\'s in it for you?

                                                                +
                                                                  +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                ",,https://www.borealisai.com/en/careers/employment/6114236002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122640-machine-learning-software-engineer-montreal-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +94eac357-bb5f-4a97-9c1d-133139d6af75,125122641,Borealis AI,Machine Learning Software Engineer - Toronto,on_site,"Ontario, Canada",2022-05-12T21:46:02.244Z,"

                                                                What\'s the opportunity?

                                                                +
                                                                +

                                                                We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                                                                +

                                                                At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                                                                +

                                                                Your responsibilities include:

                                                                +
                                                                  +
                                                                • Building machine learning-based software solutions for solving important problems;
                                                                • +
                                                                • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                                                                • +
                                                                • Collaborating with research and business teams to converge on the best solutions;
                                                                • +
                                                                • Optimizing algorithms and prototypical solutions for efficient implementation;
                                                                • +
                                                                • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                                                • +
                                                                • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                                                                • +
                                                                • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                                                                • +
                                                                +

                                                                You\'re our ideal candidate if you:

                                                                +
                                                                  +
                                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                                                                • +
                                                                • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                                                                • +
                                                                • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                                                                • +
                                                                • Familiarity with the Unix command line and bash scripting;
                                                                • +
                                                                • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                                                                • +
                                                                • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                                                                • +
                                                                • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                                                                • +
                                                                • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                                                                • +
                                                                +
                                                                +

                                                                What\'s in it for you?

                                                                +
                                                                  +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                ",,https://www.borealisai.com/en/careers/employment/6114159002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122641-machine-learning-software-engineer-toronto-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +c056d642-3079-43c1-a89f-bc6f24706fb2,124609901,TD Bank Group,"Data Practice Lead, TD Insurance",on_site,"Toronto, ON",2022-05-09T21:05:51.464Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -41802,1649 +41266,1634 @@ c8da13c5-9f11-4bf7-9b4a-cadd8fe88d3d,189730408,TD Bank Group,Senior Business Ins

                                                                Department Overview

                                                                -

                                                                We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                                                -

                                                                The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                                -

                                                                The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                                                +

                                                                Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our platforms, introducing key enterprise practices and re-imagining our customer journeys as part of the Next Evolution of Work (NEW).

                                                                +

                                                                NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                                                Job Description

                                                                -

                                                                This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                                -

                                                                • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                                • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                                • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                                • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                                • understand and actively managing the operational impacts of our fraud defense strategies
                                                                • Think horizontally to build and implement solutions that provide value to our Fraud Strategy teams and partners

                                                                -

                                                                The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                                -

                                                                Accountabilities:
                                                                Fraud Management
                                                                • Accountable for fraud loss targets and the customer experience
                                                                • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                                • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                                • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                                • Supports case valuation and prioritization to optimize fraud management
                                                                • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                                • Provide ad-hoc analysis to support decision-making at the executive level
                                                                • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                                • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                                • Produce timely diagnostics to identify system, strategy and operational issues
                                                                • Participates in defect analysis to identify and remediate coverage gaps
                                                                • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                                                                • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                                                                • Think forward and provide early gap mitigation to emerging threat vectors globally
                                                                Partner Support
                                                                • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                                • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities

                                                                +

                                                                Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together ~1,000 data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                                                +

                                                                The Data Practice brings together data management professionals from across businesses and provides them with standards, training, and professional development. As a Practice Lead, you will be responsible for coaching the team of practitioners on knowledge, skills and performance, building and evolving the practice’s capabilities, and advising practitioners on their work to ensure solutions are sound. You will report to the AVP, Data Practice Area Lead, and will work as part of a larger team supporting different business pillar and delivery streams.

                                                                +

                                                                The successful candidate will demonstrate the following key objectives:

                                                                +
                                                                  +
                                                                • Identify and execute on the opportunities to accelerate data delivery and reach the next level of capability.
                                                                • +
                                                                • Build, maintain and evolve the culture and community of data practitioners.
                                                                • +
                                                                • Lead a team of highly skilled data practitioners without getting involved in day-to-day activities.
                                                                • +
                                                                • Provide team leadership, training, coaching, development, succession, recruitment and resource management, and ensures on-going performance feedback and assessments occur and development plans exist for each team member.
                                                                • +
                                                                • Hire the best talent, grow colleagues and manage retention.
                                                                • +
                                                                • Act as an expert or lead innovator and culture change agent for the practice amongst Business, Journey, and Platform leaders.
                                                                • +

                                                                Requirements

                                                                -
                                                                • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                                • Support the continuous improvement agenda for our operational partners
                                                                • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                                • Act as a subject matter expert and represents the team or bank at project meetings or industry forums

                                                                -

                                                                Requirements:

                                                                -

                                                                • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                                                                • 2+ years’ experience in an analytical capacity
                                                                • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                                                • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                                                                • Understanding of machine learning methods with experience in deployment and implementation
                                                                • Experience with automation tools and proven implementation record
                                                                • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                                • Demonstrated analytical, modeling and problem solving skills
                                                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                • Ability to take initiative and work independently under tight timelines
                                                                • Ability to work collaboratively and build relationships
                                                                • Ability to effectively manage multiple projects and priorities simultaneously
                                                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                                Preferable
                                                                • Experience in fraud management is an asset
                                                                • Knowledge of machine learning is an asset
                                                                • Automation experience is an asset
                                                                • Knowledge of fraud detection platforms is an asset
                                                                • Agile experience is an asset

                                                                +
                                                                +

                                                                Job Requirement:

                                                                +

                                                                +
                                                                  +
                                                                • Undergraduate or postgraduate degree preferred.

                                                                • +
                                                                • 7 years of data experience and experience coaching in distributed Data delivery environments.

                                                                • +
                                                                • Bilingual in English and French is an asset.

                                                                • +

                                                                Additional Information

                                                                -
                                                                #tdcybersecurity #LI-Post
                                                                +
                                                                Bilingual in English and French is an asset.

                                                                Hours

                                                                -
                                                                37.5
                                                                +
                                                                35

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189730408-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ba138787-cb4f-4c1a-8c63-04d1d22a4930,203166954,CIBC,"Sr. Consultant, Digital Analytics and Optimization",on_site,"Ontario, Canada",2023-03-09T17:06:03.934Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                -

                                                                Direct Financial Services (DFS) provides personal and business clients across Canada with direct-to-consumer products and services through strong network of sites and Contact Centers. Lines of business include; CIBC Investor’s Edge, Simplii Financial, and Alternate Solutions Group. You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T21:11:08.205Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/124609901-data-practice-lead-td-insurance-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,expired,2022-05-09T21:05:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +e91f032b-84e7-4465-be6d-b9204ec0cb36,128290468,RBC,"Fall 2022 Student Opportunities, Data Analyst, Technology & Operations",on_site,"Toronto, ON, Canada",2022-05-30T12:53:05.350Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Fall 2022 Student Opportunities, Data Analyst, Technology & Operations

                                                                -
                                                                • -

                                                                  Campaign design and management

                                                                  -
                                                                    -
                                                                  • Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.

                                                                  • -
                                                                  • Identify new digital sales opportunities to address current or potential sales gaps.

                                                                  • -
                                                                  • Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily.

                                                                  • -
                                                                  • Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data..

                                                                  • -
                                                                  • Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.

                                                                  • -
                                                                  -
                                                                -
                                                                • -

                                                                  Customer segmentation and Predictive modeling

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  What is the opportunity?
                                                                  Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                                                                    -
                                                                  • Utilize expertise in Statistical and Machine Learning to develop models for customer segmentation and targeted marketing campaigns.

                                                                  • -
                                                                  • Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.

                                                                  • +
                                                                  • Innovation & Technology
                                                                  • +
                                                                  • Global Technology Infrastructure
                                                                  • +
                                                                  • Enterprise Operations Payments
                                                                  -
                                                                -
                                                                • -

                                                                  Digital Analytics & Business Insights

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                    -
                                                                  • Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.

                                                                  • -
                                                                  • Prepare presentations that clearly and concisely communicate key findings and objectives.

                                                                  • +
                                                                  • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                                                                  • +
                                                                  • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                                                                  • +
                                                                  • Confirm that projects adhere to development standards and guidelines
                                                                  • +
                                                                  • Apply data warehouse concepts and methodologies to various projects
                                                                  -
                                                                -
                                                                • -

                                                                  Data Management

                                                                  +

                                                                  +

                                                                  What do you need to succeed?

                                                                  +

                                                                  Must-have

                                                                    -
                                                                  • Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process.

                                                                  • -
                                                                  • Perform data exploration and integration. Ensure the accuracy and integrity of data.

                                                                  • -
                                                                  • Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels.

                                                                  • -
                                                                  • Design solutions to support optimization and automation of processes and reporting.

                                                                  • +
                                                                  • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                                                                  • +
                                                                  • Leadership acumen and a passion to apply it in a dynamic business environment
                                                                  • +
                                                                  • Excellent interpersonal and highly developed communication skills (verbal and written)
                                                                  • +
                                                                  • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                                                                  • +
                                                                  • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                                                                  • +
                                                                  • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                                                                  -

                                                                -

                                                                How You’ll Succeed

                                                                +

                                                                Nice-to-have

                                                                  -
                                                                • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                • -
                                                                • Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

                                                                • -
                                                                • Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.

                                                                • -
                                                                • Collaboration – Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.

                                                                • +
                                                                • Prior experience in data integration of disparate data sources
                                                                • +
                                                                • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                                                                • +
                                                                • Relational database concepts and design experience
                                                                • +
                                                                • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge

                                                                -

                                                                Who You Are

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or Spark.

                                                                • -
                                                                • You’re a certified professional. You have current accreditation and good standing in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.

                                                                • -
                                                                • You\'re digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel would be an asset. Strong analytic skills including a track record of making recommendations based on data driven business insights. Working knowledge of marketing optimization tools and are proficient in using them to drive owned onsite digital campaign performance.

                                                                • -
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • -
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • +
                                                                • Network and build lasting relationships with students from diverse backgrounds from across Canada
                                                                • +
                                                                • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                                                                • +
                                                                • Leaders who support your development through coaching and learning opportunities
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive and highly performing team
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Enjoy a comfortable work environment with the option to dress casually

                                                                -

                                                                What CIBC offers

                                                                +

                                                                We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is June 5th, 2022. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                                +

                                                                While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                                                                +


                                                                RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                -
                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive base salary, commission, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                • -
                                                                -

                                                                -

                                                                What you need to know

                                                                -
                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • -

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                +

                                                                Platform:

                                                                +

                                                                Job Type:

                                                                Student/Coop (Fixed Term)

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-05-12-07:00

                                                                Application Deadline:

                                                                2022-06-05-07:00

                                                                +
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 16th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Strategic Objectives
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Digital-Analytics-and-Optimization_2303750?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-23T17:11:03.431Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/203166954-sr-consultant-digital-analytics-and-optimization-at-cibc,,expired,2023-03-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c6d3b50b-850f-47b4-b03a-76243e7bc2d4,204324016,CN,Expert Data Developer,on_site,"Ontario, Canada",2023-03-13T17:42:03.305Z,"
                                                                -

                                                                -
                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                -

                                                                -
                                                                Job Summary
                                                                -
                                                                -

                                                                The Expert, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. The incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. Moreover, the position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                Main Responsibilities

                                                                Data Development

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                · Integrate analytics and data science results with business processes

                                                                · Promote effective data management practices

                                                                · Collaborate with Data Science, Reporting, Analytics, and other Development teams to build data pipelines, infrastructure, and tooling to support business initiatives

                                                                · Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data development architecture

                                                                · Collaborate with the team to meet performance, scalability, and reliability goals

                                                                · Maintain and expand existing systems, tooling, and infrastructure

                                                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                                                Data Design

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                · Design and develop processing pipelines that ingest data into the Data Platforms

                                                                · Expose the data into meaningful formats so that it can be easily consumed

                                                                · Provide day-to-day support and technical expertise to both technical and
                                                                non-technical teams

                                                                · Participate in building data development expertise and framework

                                                                · Translate business needs into technical requirements

                                                                Data Operations and Quality Assurance

                                                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                · Maintain manual and automated test scripts

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                Requirements

                                                                Experience

                                                                Data Development

                                                                · Minimum 10 years of overall work experience

                                                                · Minimum 5 years demonstrating technical leadership qualities or overseeing deliverables

                                                                · Minimum 7 years of experience in a data development role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                Education/Certification/Designation

                                                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                                                · Master’s Degree or Doctor of Philosophy in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                · Google or Azure Data Development certification*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                · Knowledge of Scala, Java or Python

                                                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                                                · Knowledge of Linux and shell scripting

                                                                · Knowledge of multiple database technologies such as Distributed Processing (i.e., Spark, Hadoop), traditional Rational Database Management Systems (RDBMS) (i.e., Oracle, Database 2 (DB2), PostgreSQL), Non-Structured Query Language (NoSQL) (i.e., MongoDB, FireBase)

                                                                · Knowledge of Development Operations (DevOps) and Azure DevOps for Continuous Integration (CI) and Continuous Deployment (CD) Data Pipelines

                                                                -
                                                                -

                                                                -

                                                                -
                                                                About CN
                                                                -

                                                                -
                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                -

                                                                -
                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10221?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/204324016-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -8e3264d7-130d-4496-b2cb-1c86eaf7ea2d,204323264,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-13T17:24:02.727Z,"
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000011519/Fall-2022-Student-Opportunities-Data-Analyst-Technology-Operations,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-06T12:58:05.200Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/128290468-fall-2022-student-opportunities-data-analyst-technology-operations-at-rbc,,expired,2022-05-30T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +de8cac28-669f-4157-8b3a-579e0d8daeae,124172068,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-05-05T21:04:07.773Z,"

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                Department Overview

                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                -

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

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                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role

                                                                -

                                                                You’ll take the helm of a diverse, inclusive and collaborative group of highly skilled analysts that own reporting, insights and forecasting function for Canadian Fraud Performance Management. The Senior Manager reconciles and condenses/summarizes numerous metrics for our Executives and partners. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                -

                                                                -

                                                                TD’s Fraud Strategy team is undergoing transformational change to become global market leaders. Come and lead this journey.

                                                                -

                                                                -

                                                                As a Senior Manager, Forecasting, Reporting and Insights you will:

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                                                                  -
                                                                • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                                                                • -
                                                                • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                                                                • -
                                                                • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                                                • -
                                                                • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                                                • -
                                                                • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
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                                                                • Set operational team direction and partner to execute on common goals
                                                                • -
                                                                • Manage teams of Business Insights & Analytics professionals/specialists
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                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • -
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • -
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
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                                                                • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
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                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
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                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • -
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
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                                                                • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • -
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
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                                                                • Build understanding of big data and advanced analytics capability
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                                                                • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
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                                                                • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
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                                                                -

                                                                Requirements

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                                                                -

                                                                What can you bring to TD?

                                                                -

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -

                                                                Education & Experience:

                                                                -
                                                                  -
                                                                • Ten (10) or more years relevant experience
                                                                • -
                                                                • Bachelor’s degree in a numerate discipline (e.g. Statistics, Business) required
                                                                • -
                                                                • Master’s degree in a numerate discipline (e.g. Statistics, Business) preferred
                                                                • -
                                                                • Programming and databases knowledge, ability to process and analyze large volumes of data
                                                                • -
                                                                • Background in reporting automation through BI tools like Tableau, Power BI, Hyperion, etc
                                                                • -
                                                                • Strong leadership and general management skills in overseeing a team and working collaboratively across functions
                                                                • -
                                                                • A high level of integrity, earning the respect and trust of her/his peer group and employees
                                                                • -
                                                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                • -
                                                                • Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • -
                                                                • Demonstrated analytical, financial modeling and problem-solving skills
                                                                • -
                                                                • Solid understanding of Retail Products and Channels
                                                                • -
                                                                -

                                                                What will set you apart:

                                                                -
                                                                  -
                                                                • Background in Fraud
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                                                                • Reporting automation experience
                                                                • -
                                                                • Knowledge of TD Finance system an asset
                                                                • -
                                                                • Tools: SQL, Hyperion, Tableau, Power BI, Azure
                                                                • -
                                                                -

                                                                -

                                                                Employee/Team Accountabilities:

                                                                -
                                                                  -
                                                                • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
                                                                • -
                                                                • Supports the creation of goals and objectives for the business unit/function; Communicates those goals and objectives to the team
                                                                • -
                                                                • Builds capability support / executes plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
                                                                • -
                                                                • Role-models behaviors consistent with TD’s leadership profile, customer and employee experience agendas and risk and control culture
                                                                • -
                                                                • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD’s diversity agenda, and creates an extraordinary employee experience
                                                                • -
                                                                • Leads, coaches and develops a highly effective team by ensuring ongoing training and performance and development management
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                                                                Additional Information

                                                                -
                                                                #tdcybersecurity #LI-Post
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                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204323264-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -502b6975-1c21-44ad-ace7-0a73593e79b3,206569868,NVIDIA,Research Scientist Intern - PhD Program,on_site,"Ontario, Canada",2023-03-20T17:42:03.659Z,"
                                                                -

                                                                NVIDIA is searching for world-class interns to join our growing software architecture team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

                                                                -

                                                                -

                                                                DPU Data-Processing Units are the smallest form of a data centre, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard CPU and GPU processors. The path to harvest all processing power of DPUs is encapsulated on the DOCA software development kit, which contain all industry-standards that enable application developers to build up amazing network applications.

                                                                -

                                                                -

                                                                This position will be placed with an academic collaborator; either in Denmark (AAU Copenhagen) or the Netherlands (TUE Eindhoven).

                                                                -

                                                                -

                                                                Candidates will first undergo 18 months of academic training and then join NVIDIA as Research Scientist Intern for the next 18 months (either in Denmark or Germany). Both parts of the PhD Program, academic as well as industrial, are paid. The scholarship is highly competitive.

                                                                -

                                                                -

                                                                What you’ll be doing:

                                                                -
                                                                  -
                                                                • Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK

                                                                • -
                                                                • Learn about security subsystems and systems for networking

                                                                • -
                                                                • Partner and collaborate with other forward-thinking team members and external researchers

                                                                • -
                                                                • Have the opportunity to participate and speak at conferences and events

                                                                • -
                                                                • Publish original research

                                                                • -
                                                                • Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

                                                                • -
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                                                                -

                                                                What we need to see:

                                                                -
                                                                  -
                                                                • Graduated with a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field

                                                                • -
                                                                • Knowledge of common security and cryptography frameworks in the context of networking

                                                                • -
                                                                • Track record of research excellence

                                                                • -
                                                                • Good communications skills

                                                                • -
                                                                • Please include your internship availability in your application

                                                                • -
                                                                -

                                                                -

                                                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Denmark-Roskilde/Research-Scientist-Intern---PhD-Program_JR1962440,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/206569868-research-scientist-intern-phd-program-at-nvidia,,expired,2023-03-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Masters Degree,New Posting, -160f9021-b5cb-4367-9436-af87b634233a,205044403,Bell Canada,Product Manager - Artificial Intelligence,on_site,"Toronto, Ontario",2023-03-15T17:21:04.079Z,"

                                                                Req Id: 407636

                                                                -

                                                                -

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                -

                                                                -

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                -

                                                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                -

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Short Description

                                                                -
                                                                -
                                                                -

                                                                Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is accountable for the successful planning, design, and implementation of Machine Learning programs and/or projects that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, IT and other Business Units to implement programs that will positively impact our operations by improving the technician/customer experience and supporting processes.

                                                                -

                                                                The AI Project Manager, Field Services must also anticipate end-to-end impacts including understanding the core of the problem we’re trying to solve, defining business requirements, quantifying financial benefits and leading change across the organization via collaboration with peers. This individual requires solid project management and problem solving skills with the ability to manage deliverable execution by leveraging standard project management concepts and tools. This individual should be eager to learn the business teams, tools and processes to better execute their program.

                                                                -
                                                                -
                                                                -
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                                                                -

                                                                Key Responsibilites

                                                                -
                                                                -
                                                                  -
                                                                • Lead, plan, organize and implement the design and delivery of Field Services Machine Learning projects
                                                                • -
                                                                • Effectively engage, lead and influence cross-functional teams to deliver highest level of quality on all projects within committed timeline and scope, and meeting all project requirements and deliverables.
                                                                • -
                                                                • Develop project business case, scope, schedule & all relevant project documentation
                                                                • -
                                                                • Actively lead the creation of business cases and financial forecasts to prove the viability of new initiatives, including data collection and analysis, process mapping and redesign, and potential operational efficiencies.
                                                                • -
                                                                • Engage and build strong relationships with project sponsors and stakeholders to incorporate their goals, and instill confidence to ensure alignment to and adoption of solutions.
                                                                • -
                                                                • Work with data scientists and analyst to develop solutions that address the business problem at hand
                                                                • -
                                                                • Track project and model performance using appropriate KPIs, metrics and techniques
                                                                • -
                                                                • Own strategic initiatives that impact all of Field Services including
                                                                • -
                                                                • Establishing the process, tools, and resources required to build out the governance model of an initiative
                                                                • -
                                                                • Set the strategic vision & initiate projects that drive meaningful impacts to the business
                                                                • -
                                                                -
                                                                -
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                                                                -

                                                                Critical Qualifications

                                                                -
                                                                -
                                                                  -
                                                                • A university degree in a business or technical fields such as computer science, computer engineering, commerce, business management or related field
                                                                • -
                                                                • Proven leadership and influencing skills, with the ability to get things done while managing various stakeholders
                                                                • -
                                                                • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analyses
                                                                • -
                                                                • Strong analytical skills with experience in developing & managing business requirements
                                                                • -
                                                                • Project / program management skills & experience
                                                                • -
                                                                • Familiarity with machine learning and artificial intelligence concepts
                                                                • -
                                                                • Energetic self-starter who thrives in a fast-paced environment with ability to work under pressure
                                                                • -
                                                                • Authentic, professional and confident communicator. Able to influence project teams and stakeholders through effective communication and presentation skills to all levels of the organization
                                                                • -
                                                                • Strong MS Office skills, particularly Excel and PowerPoint
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Preferred Qualifications

                                                                -
                                                                -
                                                                -
                                                                  -
                                                                • PMP, PRINCE2 or Agile certification is an asset
                                                                • -
                                                                • Field Services experience is an asset
                                                                • -
                                                                • Technical Network experience is an asset
                                                                • -
                                                                -

                                                                #Indeed #Tech #Technology #Talent #PMP #Network #PM #ProjectManager #AI #ArtificialIntelligence #MachineLearning #ProjectManagement

                                                                -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                #EmployeeReferralProgram

                                                                -

                                                                -

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                -

                                                                -

                                                                Additional Information:

                                                                -

                                                                Position Type: Management
                                                                Job Status:
                                                                Regular - Full Time
                                                                Job Location:
                                                                Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 03/19/2023

                                                                -

                                                                -

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                -


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                -

                                                                -

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                -

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                -

                                                                -

                                                                Created: Canada, ON, Toronto

                                                                -

                                                                -

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA407636EXTERNALENCA/Product-Manager-Artificial-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-03-20T17:26:03.898Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/205044403-product-manager-artificial-intelligence-at-bell-canada,BECACA407636EXTERNALENCA,expired,2023-03-15T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, -5120a1ba-5c01-4d78-8730-3835db149e47,205616309,RBC,"Director, Pricing and Analytics, RBC Direct Investing",on_site,"Toronto, ON, Canada",2023-03-17T17:16:02.488Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Director, Pricing and Analytics, RBC Direct Investing

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                RBC Direct Investing is RBC’s discount brokerage offering industry-leading tools and research to help clients pick the right investments, place trades quickly and track how they are doing. As Director of Pricing and Analytics, you will lead the team responsible for designing pricing strategies and delivering deep insight to identify opportunities, deepen our understanding of client segments and develop our business strategy. You will lead a team of two and be responsible for their professional development, as well as their efforts to help us delve deeper into our portfolio and manage pricing strategies that help us to balance profitably with client acquisition.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Develop and manage pricing strategies for RBC Direct Investing
                                                                • -
                                                                • Leverage data analytics to deliver deep insights about the client base
                                                                • -
                                                                • Work with stakeholders across the business to deliver business intelligence and pricing guidance
                                                                • -
                                                                • Develop and manage key reporting for business management, sales and marketing performance and other management priorities
                                                                • -
                                                                • Lead a team of two direct reports and invest in their professional development
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                -

                                                                Must-have:

                                                                -
                                                                  -
                                                                • Undergraduate degree in business, finance, or related discipline
                                                                • -
                                                                • 5+ years of relevant experience conducting pricing analytics and managing pricing strategy or comparable analytical and strategy functions
                                                                • -
                                                                • Strong communication, negotiation and people skills
                                                                • -
                                                                • Strong understanding of financial services economics and P&L drivers
                                                                • -
                                                                • Demonstrated critical thinking capabilities
                                                                • -
                                                                -

                                                                -

                                                                Nice to have:

                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  -
                                                                • Experience in the securities industry, particularly at a discount brokerage
                                                                • -
                                                                • Proficiency with SQL, SAS or other analytical tools
                                                                • +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                +

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the following:

                                                                  -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                • +
                                                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                • +
                                                                • Design, develop and deploy system enhancements
                                                                • +
                                                                • Perform Unit and System Integration tests
                                                                • +
                                                                • Document system deployment plans for system implementation and code deployment
                                                                • +
                                                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                • +
                                                                • Provide recommendations with full usability analysis
                                                                • +
                                                                • Perform root-cause analysis and resolution of application defects
                                                                • +
                                                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                • +
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                +

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-08-08:00

                                                                Application Deadline:

                                                                2023-03-17-07:00
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000052277/Director-Pricing-and-Analytics-RBC-Direct-Investing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-21T14:50:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/205616309-director-pricing-and-analytics-rbc-direct-investing-at-rbc,,expired,2023-03-17T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -9af7b2ac-4f48-4981-b247-93216a704bea,204324013,CN,"Specialist, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.147Z,"
                                                                -

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The Specialist, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. Moreover, the incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                Main Responsibilities

                                                                Data Development

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                · Integrate analytics and data science results with business processes

                                                                · Promote effective data management practices

                                                                · Collaborate with Data Science, Reporting, Analytics and other Development teams to build data pipelines, infrastructure and tooling to support business initiatives

                                                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                                                Data Design

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                · Provide day-to-day support and technical expertise to both technical and
                                                                non-technical teams

                                                                · Participate in building data development expertise and framework

                                                                · Translate business needs into technical requirements

                                                                Data Operations and Quality Assurance

                                                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                · Maintain manual and automated test scripts

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                Requirements

                                                                Experience

                                                                Data Development

                                                                · Minimum 5 years overall work experience

                                                                · Minimum 3 years of experience in a Data Development role, working in different data management disciplines including data integration, modelling, optimization, and quality

                                                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                o Experience in translating business requirements into advanced data models able to fulfill Analysts and Data Scientists’ requirements

                                                                o Experience working in an Agile team environment

                                                                Education/Certification/Designation

                                                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                                                · Google or Azure Data Development certification*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                · Knowledge of Scala, Java or Python

                                                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                                                · Expertise with Databricks Delta Lake

                                                                · Knowledge of Structured Query Language (SQL) and Non-Structured Query Language (NoSQL) technologies and fluent in writing, executing, and optimizing SQL queries

                                                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10263?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:42:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204324013-specialist-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -6a8f12c2-a361-409d-8af2-69c18fdc8c8d,204324012,CN,"Expert, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.082Z,"
                                                                -

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Role description:

                                                                The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

                                                                Main Responsibilities:

                                                                Data Engineering

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives.

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

                                                                · Integrate analytics and data science results with business processes.

                                                                · Promote effective data management practices.

                                                                Modernization

                                                                · Work with peers to improve architecture processes and deliverables with the trending technology.

                                                                · Participate in yearly product health assessment.

                                                                · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

                                                                Technical Leadership and Governance oversight

                                                                · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

                                                                · Ensuring Standards are being published and evangelized.

                                                                · Ensuring the Enterprise Governance principles are being applied.

                                                                Requirements

                                                                Education & Experience

                                                                · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

                                                                · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

                                                                · Minimum 2 years in a similar role.

                                                                · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

                                                                Skills/Knowledge

                                                                · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

                                                                · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

                                                                · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

                                                                · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

                                                                · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

                                                                · Comparable working experience in Azure Ecosystem will also be considered.

                                                                · Strong experience with Agile/Scrum/Safe delivery methodology.

                                                                · Strong ability to bring a complex concept to actionable architecture deliverables.

                                                                · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

                                                                · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

                                                                · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

                                                                · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

                                                                · Strong ability to lead the team on a mandate and to lead decisions.

                                                                · Ability to deliver mandate with great autonomy – self-driven.

                                                                · Excellent written and oral communication skills.

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10266?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:40:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/204324012-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -da32afe3-795a-4030-a226-6d287af9d0da,341822110,Canadian Tire Corporation,Forecast Modelling Analyst,on_site,"Ontario, Canada",2024-09-12T16:27:02.039Z,"
                                                                -

                                                                What you’ll do

                                                                -

                                                                The Forecast Modelling Analyst performs analysis and generates insights that can be integrated into key merchandising decisions (assortment selection, product forecasting and replenishment). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships, design/issue digestible reporting, and develop/optimize user tools. You will play a key role in the delivery of our advanced analytics roadmap and development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

                                                                -
                                                                  -
                                                                • Use traditional analytics and predictive/statistical modelling techniques to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impact of results

                                                                • -
                                                                • Work with the Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business intuition, explainable and efficiently integrated into processes

                                                                • -
                                                                • Design and build tools/reporting that is user friendly and actionable

                                                                • -
                                                                • Plan, track and manage multiple work requests – these initiatives can range from quick ad-hoc analysis requests, urgent system/tool support issues, or medium-scale process improvement initiatives or formal long-term project implementations

                                                                • -
                                                                • Ensure the forecasting systems, reports and EUC tools are operational and support the business processes; lead projects to implement new functionality, including automation

                                                                • -
                                                                • Act as a subject matter expert for Forecasting processes and provide expertise and direction in special projects

                                                                • +

                                                                  Requirements

                                                                  +
                                                                    +
                                                                  • Currently enrolled in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                  • +
                                                                  • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                  • +
                                                                  • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                  • +
                                                                  • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                  • +
                                                                  • Familiarity with source code management such as GIT
                                                                  • +
                                                                  • Familiarity with Jira and Confluence
                                                                  • +
                                                                  • A thirst for constantly exploring emerging technology
                                                                  • +
                                                                  • +Skills that would be an asset, but not required
                                                                      +
                                                                    • Familiarity with RDBMS, Big data
                                                                    • +
                                                                    • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                    • +
                                                                    • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                    • +
                                                                    • Interest or aptitude in Financial Systems and the Financial Industry
                                                                    • +
                                                                    • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                    +
                                                                  • +

                                                                  -

                                                                  What you bring

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  +

                                                                  Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                    -
                                                                  • The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

                                                                  • -
                                                                  • 2-4 years work experience in various roles within forecasting, analytics, merchandising or supply chain.

                                                                  • -
                                                                  • University degree in engineering, math, computer science, statistics, business or related field.

                                                                  • -
                                                                  • Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights or recommendations.

                                                                  • -
                                                                  • Programming experience with Python, SQL, or VBA.

                                                                  • -
                                                                  • Advanced technical skills in Microsoft Access, Excel, Database systems.

                                                                  • -
                                                                  • Passion for data sciences, machine learning, and visualizations. Cloud experience is an asset.

                                                                  • -
                                                                  • Results-oriented, with proven project and time management skills (planning, prioritizing, executing, and tracking).

                                                                  • -
                                                                  • Business mindset with an understanding of the retail industry.

                                                                  • -
                                                                  • Effective written and verbal communication skills, including presentation abilities.

                                                                  • +
                                                                  • This position is a 4-month work term and will commence September 6th – December 23rd, 2022
                                                                  • +
                                                                  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                  • +
                                                                  • We welcome all applications; however, we will be targeting 3rd and 4th year students for this role. We will only contact qualified candidates chosen for an interview. Thank you for your interest
                                                                  • +
                                                                  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                  +

                                                                  #P&TEarlyTalent​​​​​​​
                                                                  Assigned Line of Business Requirements
                                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                  +

                                                                  -

                                                                  Hybrid

                                                                  -

                                                                  We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                  -

                                                                  -

                                                                  -

                                                                  About Us

                                                                  -

                                                                  -

                                                                  Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                  -

                                                                  -

                                                                  Our Commitment to Diversity, Inclusion and Belonging

                                                                  -

                                                                  -

                                                                  We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5

                                                                  -

                                                                  Accommodations

                                                                  +

                                                                  Start Date

                                                                  +
                                                                  – Fall

                                                                  -

                                                                  We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                  +

                                                                  Inclusiveness

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -
                                                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Forecast-Modelling-Analyst_JR138048?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-03T08:45:02.257Z,False,0,10,40,https://talenthub.vectorinstitute.ai/jobs/341822110-forecast-modelling-analyst-at-canadian-tire-corporation,,expired,2024-09-12T16:27:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -1a3321d5-1672-4cb2-a965-6b46edc276bd,342711417,Vector Institute,Data Analytics Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.810Z,"

                                                                Data Analytics Intern

                                                                -

                                                                POSITION OVERVIEW

                                                                -

                                                                The Data Analytics Intern will have the opportunity to gain real-world experience in data analytics and database management at a leading institute. The objectives of this role are to manage and analyze data from various sources and translate large data into actionable insights to support Vector’s objectives around workforce development and research excellence. Reporting to the Data Analyst on the Research Operations & Academic Partnerships team, you will play a key role in ensuring the goals of the team relating to all data-related requests are met.

                                                                -

                                                                Start date: January 6, 2025

                                                                -

                                                                End date: April 25, 2025

                                                                -

                                                                APPLIED INTERNSHIPS AT VECTOR

                                                                -

                                                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                -

                                                                KEY RESPONSIBILITIES

                                                                -
                                                                  -
                                                                • Clean, upload, and maintain data in Google Sheets and Salesforce on a weekly basis;

                                                                • -
                                                                • Generate insightful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights using Microsoft PowerBI and/or Google Sheets;

                                                                • -
                                                                • Assist with diagnosing and maintaining Python data scraping algorithms using Github actions via Scrapy and/or BeautifulSoup;

                                                                • -
                                                                • Assisting with automation workflows where needed using Salesforce automation tools and Zapier;

                                                                • -
                                                                • Develop ad-hoc data analytics reports in Google Sheets; and,

                                                                • -
                                                                • Other duties as assigned.

                                                                • -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,9,24,https://talenthub.vectorinstitute.ai/jobs/124172068-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +c37314d5-ce65-4af2-a4ee-66d9dbbdda4f,127914623,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-05-28T21:06:16.783Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                -

                                                                SUCCESS MEASURES

                                                                -
                                                                  -
                                                                • A strong ETL execution for Salesforce through an integration with Google Suite and/or Microsoft Office Suite;

                                                                • -
                                                                • Analysis of trends in Ontario’s AI talent community with existing data and providing decision-making supports on engagement in AI talent community;

                                                                • -
                                                                • Reports generated on high-level insights; and,

                                                                • -
                                                                • Data visualizations/interactive dashboard created are accessible, with key outcomes highlighted, and integrated well with data inputs.

                                                                • -
                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                -

                                                                PROFILE OF THE IDEAL CANDIDATE

                                                                -
                                                                  -
                                                                • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                                                                • -
                                                                • You are in the second year or higher, studying at a Canadian university or college, or a recent graduate within 1 semester of graduation.

                                                                • -
                                                                • You have experience using Google Suite (e.g., Google Sheets, Google Drive), Excel and its advanced functions, and data visualization tools such as Power BI or Tableau.

                                                                • -
                                                                • You have experience managing CRM systems such as Salesforce and are able to perform Extract Transform Load (ETL) processes on large datasets.

                                                                • -
                                                                • You have basic proficiency with programming languages, especially Python. Experience with Scrapy/BeautifulSoup is an asset.

                                                                • -
                                                                • You have experience translating large datasets into actionable insights.

                                                                • -
                                                                • You understand the limits and constraints associated with data usage (e.g., privacy concerns, challenges associated with unstructured data or unlabelled data).

                                                                • -
                                                                • You are organized and efficient, with strong problem-solving skills.

                                                                • +

                                                                  Job Description

                                                                  +
                                                                  +

                                                                  You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                                                  +
                                                                    +
                                                                  • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                  • +
                                                                  • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                  • +
                                                                  • Design, develop and deploy system enhancements
                                                                  • +
                                                                  • Perform Unit and System Integration tests
                                                                  • +
                                                                  • Document system deployment plans for system implementation and code deployment
                                                                  • +
                                                                  • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                  • +
                                                                  • Provide recommendations with full usability analysis
                                                                  • +
                                                                  • Perform root-cause analysis and resolution of application defects
                                                                  • +
                                                                  • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                  +

                                                                  -

                                                                  NICE TO HAVE

                                                                  -
                                                                    -
                                                                  • You have experience with automation tools, such as Zapier and triggered workflows in Salesforce.

                                                                  • -
                                                                  • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem.

                                                                  • -
                                                                  • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                  • -
                                                                  • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture.

                                                                  • +

                                                                    Requirements

                                                                    +
                                                                      +
                                                                    • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                                                    • +
                                                                    • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                    • +
                                                                    • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                    • +
                                                                    • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                    • +
                                                                    • Familiarity with source code management such as GIT
                                                                    • +
                                                                    • Familiarity with Jira and Confluence
                                                                    • +
                                                                    • A thirst for constantly exploring emerging technology
                                                                    • +
                                                                    • Skills that would be an asset, but not required
                                                                        +
                                                                      • Familiarity with RDBMS, Big data
                                                                      • +
                                                                      • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                      • +
                                                                      • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                      • +
                                                                      • Interest or aptitude in Financial Systems and the Financial Industry
                                                                      • +
                                                                      • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                      +
                                                                    • +

                                                                    -

                                                                    Compensation: $25/hour.

                                                                    -


                                                                    -

                                                                    If you have any questions, please contact internships@vectorinstitute.ai.

                                                                    -


                                                                    -

                                                                    Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                    -

                                                                    At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                    -

                                                                    Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                                                    -

                                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508057&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,30,142,https://talenthub.vectorinstitute.ai/jobs/342711417-data-analytics-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -55336520-dc71-4fc8-9602-9e8efa13aaae,340695977,BIMCOR INC,Business Intelligence Architect/ Data Solutions Architect,on_site,"Montreal, Quebec",2024-09-04T21:25:05.542Z,"

                                                                Req Id: 420381 

                                                                 

                                                                At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

                                                                 

                                                                We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 

                                                                 

                                                                Join us. You belong at Bell. 

                                                                 

                                                                -
                                                                -
                                                                -

                                                                Summary

                                                                -
                                                                -
                                                                -

                                                                About Us: Founded in 1983, Bimcor, a wholly owned subsidiary of Bell Canada, currently manages ~$30 billion invested in a wide range of public and private financial assets, mainly on behalf of pension funds of Bell Canada and its various subsidiaries and affiliates. It ranks as one of the largest private sector pension fund managers in Canada.

                                                                -

                                                                 

                                                                -

                                                                We are seeking:

                                                                -

                                                                We are seeking a skilled Business Intelligence Architect with experience of the Microsoft Cloud Power platform and Fabric to join our team full-time and contribute to drive the architecture, design, and implementation of Power Platform solutions for our Bimcor’s stakeholders. You will play a pivotal role in ensuring the successful new integration of Power Platform services with external systems while adhering to best practices and delivering high-quality solutions. You will also contribute to our migration to the full Microsoft 365 rollout currently underway at Bimcor. We are seeking a candidate willing to play a major role in Bimcor’s new data and reporting initiatives that are currently underway.

                                                                -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Key Responsibilities

                                                                -
                                                                -
                                                                  -
                                                                • Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure.
                                                                • -
                                                                • Demonstrate financial market experience and collaborate with the front office team.
                                                                • -
                                                                • Design, develop and produce data models of medium to high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
                                                                • -
                                                                • Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
                                                                • -
                                                                • Create strategic dashboards and reports for key stakeholders, including Executives, Financial leaders, Operational leaders, Project/Program Managers
                                                                • -
                                                                • Collaborate with members of the development and architecture teams to deliver enterprise-grade solutions that surpass client expectations while meeting deadlines.
                                                                • -
                                                                • Train client end-users and junior members of the staff on proper Power Platform development techniques including support for application lifecycle management.
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Critical Qualifications

                                                                -
                                                                -
                                                                  -
                                                                • Bachelor’s degree in Computer Science, Information Technology, or related field.
                                                                • -
                                                                • In depth experience (5+ years) working with Power Platform services including Power Apps, Power Automate, Power BI, and Power Virtual Agents (MS Copilot) as well as DAX, Power Query and MDX.
                                                                • -
                                                                • Strong knowledge of Microsoft Azure Data Warehouse and Fabric.
                                                                • -
                                                                • Undergraduate studies in finance or accounting or equivalent and familiarity and with Financial Instruments and Interest in building knowledge in this industry.
                                                                • -
                                                                • Excellent problem-solving skills and attention to detail.
                                                                • -
                                                                • Excellent verbal and written communication skills, in English and French.
                                                                • -
                                                                -
                                                                -

                                                                 

                                                                #EmployeeReferralProgram

                                                                 

                                                                Adequate knowledge of French is required for positions in Quebec. 

                                                                 

                                                                Additional Information:

                                                                Position Type: Management 
                                                                Job Status: 
                                                                Regular - Full Time 
                                                                Job Location:
                                                                Canada : Quebec : Montreal 
                                                                Work Arrangement: Hybrid 
                                                                Application Deadline: 10/19/2024 

                                                                 

                                                                For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                                                                 

                                                                Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                                                 

                                                                We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

                                                                 

                                                                We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                                                                 

                                                                We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                                                                 

                                                                Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                                                                 

                                                                Created: Canada, QC, Montreal

                                                                 

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA420381EXTERNALENCA/Business-Intelligence-Architect-Data-Solutions-Architect?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-05T19:56:52.766Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/340695977-business-intelligence-architect-data-solutions-architect-at-bimcor-inc,BECACA420381EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -8605ec95-7e79-4611-a25c-6c74ffe03052,342742087,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2024-09-19T19:52:54.559Z,"

                                                                The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                                -

                                                                We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                                -

                                                                The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                                -

                                                                What are your main responsibilities?

                                                                +

                                                                Additional Information

                                                                +
                                                                  -
                                                                • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                                • -
                                                                • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                                • -
                                                                • Go-to person for data and model delivery within Layer 6
                                                                • -
                                                                • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                                                                • +
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                +

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +

                                                                -

                                                                Required Technical Skills

                                                                -
                                                                  -
                                                                • BSc+ in Computer Science, Math, Physics, or similar
                                                                • -
                                                                • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                                • -
                                                                • 3+ years experience of building machine learning production system
                                                                • -
                                                                • Expert level skills in system design
                                                                • -
                                                                • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                • -
                                                                • Strong knowledge of Machine Learning and Deep Learning
                                                                • -
                                                                • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                                • -
                                                                • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                                • -
                                                                • Strong experience with Scala and Java 8
                                                                • -
                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Nice to have Skills

                                                                -
                                                                • C++, Python experience
                                                                +

                                                                Start Date

                                                                +
                                                                – Fall, – Spring, – Summer, – Winter

                                                                -

                                                                Benefits

                                                                -
                                                                  -
                                                                • Entrepreneurial and inclusive culture
                                                                • -
                                                                • Excellent health coverage and pension plan
                                                                • -
                                                                • Four weeks paid vacation
                                                                • -
                                                                • Catered lunches twice a week over machine learning talks
                                                                • -
                                                                -

                                                                Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                                                                ",,https://layer6.ai/careers/#Sr-Machine-Learning-Product-Engineer-8211-Tech-Lead-614,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/342742087-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2024-09-19T19:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -70145fd5-e7ed-43d3-8e46-0245d547a34a,341358435,Scotiabank,Wealth Management - Data Analytics Intern/Co-op Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa,2024-09-09T16:30:05.997Z,"

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/127914623-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-05-28T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +49f9a3cd-e4d4-438d-a6b1-4c9b242a5b26,127628716,Scotiabank,Data Engineer,on_site,Canada : Ontario : Toronto,2022-05-27T05:06:10.396Z,"

                                                                -

                                                                Requisition ID: 206596

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 147855

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Term: Jan – April 2025

                                                                -

                                                                Application Deadline: 10/18/2024

                                                                +

                                                                Purpose:

                                                                -

                                                                There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                +

                                                                The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                                                +

                                                                We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                +


                                                                KEY ACCOUNTABILITIES:

                                                                +


                                                                • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                                                • Partner with advanced analytics teams to build powerful data assets and processes
                                                                • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                                • Build automated data management and data quality capabilities into projects
                                                                • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                                                • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                                                • Experiment & learn!

                                                                -
                                                                • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                                                                • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                                                                • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                                                                • Apply analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                                                                • Make impact by constantly identifying and implementing process improvements
                                                                • -
                                                                -

                                                                +


                                                                QUALIFICATIONS:

                                                                +


                                                                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                                                • Experience in finance is an asset
                                                                • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                                                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                                                • Experience with visualization tools an asset: Power BI/Tableau
                                                                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                                                • High aptitude for diving in and picking up new technologies as required
                                                                • Eligible to work in Canada

                                                                -

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                -
                                                                • You are currently enrolled in post-secondary education.
                                                                • -
                                                                -
                                                                • You have strong written/verbal communication and project management skills.
                                                                • -You have knowledge/experience in:
                                                                  • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                  • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                  • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                  • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                  • Visualization tools like PowerBI, Tableau or Qlikview
                                                                  • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                  • Making sense of data, creating reports, and communicating KPI’s
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                -
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • -
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,feed-importer@jobboard.io,,,,2022-06-06T21:36:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/127628716-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,expired,2022-05-27T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +45c13119-da05-477b-b1e2-158abe837d65,127457725,Accenture,Data Engineer Consultant,on_site,Ontario - Toronto,2022-05-25T22:46:13.675Z,"

                                                                Job Description

                                                                Data Engineer - Ingestion

                                                                +

                                                                +

                                                                Location: Toronto

                                                                +

                                                                Are you ready to step up and take your technology expertise to the next level?

                                                                -

                                                                How do I apply?

                                                                +

                                                                There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                                                -

                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                -
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. Complete short one-way video interview here
                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
                                                                4. -
                                                                -

                                                                -

                                                                **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

                                                                -

                                                                +

                                                                We are Accenture Cloud First

                                                                +


                                                                Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                                                Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:19:18.732Z,False,0,7,60,https://talenthub.vectorinstitute.ai/jobs/341358435-wealth-management-data-analytics-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -5d53dac3-06a1-4f6c-bbd3-40bdd0a6ebfb,341358446,Scotiabank,GBM - Client Insights and Analytics Internship/Co-op - Fall 2025 (12 months),on_site,Canada : Ontario : Toronto,2024-09-09T16:30:07.849Z,"

                                                                +

                                                                The Work

                                                                +


                                                                Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                                                + +


                                                                +

                                                                Qualifications

                                                                +

                                                                Who are we looking for?

                                                                +

                                                                +

                                                                3 year of experience in the following:

                                                                +
                                                                  +
                                                                • Azure Data Factory
                                                                • +
                                                                • PySpark
                                                                • +
                                                                • Azure SQL
                                                                • +
                                                                • Azure Data Lake
                                                                • +
                                                                +

                                                                +

                                                                Preferred Skills:

                                                                +

                                                                Certification: Azure Data Certification

                                                                +

                                                                Python

                                                                +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement

                                                                +

                                                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                                +

                                                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                                +

                                                                Requesting An Accommodation

                                                                +

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                +

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                                +

                                                                Other Employment Statements

                                                                +

                                                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                                +

                                                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-06T21:36:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127457725-data-engineer-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,expired,2022-05-25T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +b47d6bfa-8199-41eb-8530-e6accc541808,126310800,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-05-20T05:06:07.261Z,"

                                                                -

                                                                Requisition ID: 206630

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 152179

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Term: September 2025 – August 2026

                                                                +

                                                                Associate Data Engineer, Canadian Business Banking

                                                                -

                                                                Application Deadline: 16/02/2024

                                                                +

                                                                Purpose

                                                                +


                                                                This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +



                                                                The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                                                -

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                -

                                                                Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in 21 countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.

                                                                -

                                                                -

                                                                Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                -

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -
                                                                • Assist our teams in report engineering, data analytics and data engineering and business relationship management.

                                                                • Work with our relationship managers for business lines including Corporate & Investment Banking, Capital Markets, Global Business Payments and International Corporate and Commercial Banking.

                                                                • Help leverage internal and external client data to facilitate opportunity identification.

                                                                • Support adoption, change management and enhancement of our CRM (client relationship management) system.

                                                                • Attend program meetings, and facilitate organization and follow-up as required.

                                                                • Carry out ad-hoc projects and tasks as required.

                                                                • +

                                                                  Accountabilities:

                                                                  +


                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                  • Supports the development and management of database and Business Intelligence for Business Banking
                                                                  • Build data architecture for Business Banking
                                                                  • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                                                  • Architect the generation of powerful datasets to bring successful analytics to market
                                                                  • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                                                  • Learn the business strategy and generate ideas for insightful tools
                                                                  • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                                                  • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                                                  • Work with data users to ensure datasets produced meet their analytic needs
                                                                  • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                                                  • Enable quick speed to market for new data needs for the Business Bank·
                                                                  • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                                                  • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                                                  • Keep abreast with latest database technology and data solutions
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                  • Champions a high-performance environment and contributes to an inclusive work environment.

                                                                  +

                                                                  +

                                                                  Education / Experience / Other Information:

                                                                  +

                                                                  Education
                                                                  • Bachelor’s degree in Computer Science or related field or relevant experience
                                                                  • Master’s degree in Computer Science – preferred

                                                                  +

                                                                  +

                                                                  Skills/Work Experience:
                                                                  • 2+ years of data engineering and software experience
                                                                  • Experience with Python and/or Scala required
                                                                  • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                                                  • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                                                  • Hands-on development in a distributed data environment an asset
                                                                  • Experience with Business Intelligence Tools: Power BI, Tableau
                                                                  • Excellent verbal and written communication skills are required
                                                                  • Strong prioritizing and analytical skills
                                                                  • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                                                  • Strong technical skills in Math, Computer Science or related fields
                                                                  • Excellent design and delivery capabilities
                                                                  • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-06-09T16:20:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/126310800-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +5430c49f-6703-4679-af6f-825e60aedacc,124960853,Thomson Reuters,"Senior Software Engineer, Python, Machine Learning",on_site,"Toronto, ON, Canada",2022-05-11T18:44:27.170Z,"

                                                                Senior Software Engineer, Python, Machine Learning

                                                                +

                                                                Primary Location: Eagan, MN, US or Toronto, ON, Canada.

                                                                +

                                                                **Note: candidates can choose which location they'd prefer.

                                                                + -

                                                                -

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                -
                                                                • You are currently enrolled in post-secondary education.

                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

                                                                • You are interested in or have knowledge of the capital markets and wholesale banking business.

                                                                • You have experience working on a major project and/or initiative in a team.

                                                                • You are comfortable dealing with ambiguity and a matrix-based environment.

                                                                • You have excellent written and oral communication skills.

                                                                • You have advanced experience with Excel.

                                                                • You have experience with programming languages such as Python and C++.

                                                                • You have considerable initiative, curiosity, creativity, and attention to detail.

                                                                • You have a high level of energy, commitment, and a strong sense of teamwork.

                                                                • +

                                                                  Do you love creating innovative solutions for customers? We are seeking a passionate Senior Software Engineer proficient in Python with practical experience delivering machine learning (ML) models in cloud environments – such as Amazon Web Services. As a member of Thomson Reuters Labs in MSP/Toronto, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

                                                                  +

                                                                  +

                                                                  What do we do? In Thomson Reuters Labs, we experiment, build and deliver. We work with big data sets to discover what new products, services, or insights we can create for our customers. We then work across the organization to build and deliver these capabilities. Thomson Reuters is perhaps most well-known for the Reuters News agency. The company is also one of the top sources of information for legal professionals, corporations, and tax professionals. We have over 60,000 TBs of legal, regulatory, news, and tax data.

                                                                  +

                                                                  +

                                                                  Thomson Reuters Labs works across all business segments of Thomson Reuters. You will be part of a diverse, agile, and interdisciplinary innovation team located in Toronto – collaborating with colleagues located in the United States of America, Switzerland, the United Kingdom, and India. You will work closely with other engineers, designers, data scientists, and stakeholders to build solutions that use data analysis and AI, like machine learning (ML).

                                                                  +

                                                                  The science and engineering of AI is rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problems spaces; who is comfortable with ambiguity and pivoting when needed.

                                                                  +

                                                                  Is this you? Come join us!

                                                                  +

                                                                  +

                                                                  About the Role

                                                                  +

                                                                  In this opportunity as a Senior Software Engineer, you will:

                                                                  +
                                                                    +
                                                                  • +Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
                                                                  • +
                                                                  • +Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                                                  • +
                                                                  • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                                  • +
                                                                  • +Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                                                  • +
                                                                  • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                                                  • +
                                                                  • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                                                  • +
                                                                  +

                                                                  About You

                                                                  +

                                                                  You're a fit for the role of Senior Software Engineer if you:

                                                                  +
                                                                    +
                                                                  • Can “think in code” and have a deep understanding of the Python software development stacks and ecosystems
                                                                  • +
                                                                  • Have practical, hands-on, experience deploying ML models to cloud environments like AWS or Azure (or a similar cloud platform).
                                                                  • +
                                                                  • Are proficient in system analysis and design
                                                                  • +
                                                                  • Have experience working in an agile environment
                                                                  • +
                                                                  • Are curious and comfortable with rapid change and learning new things
                                                                  • +
                                                                  • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working at a fast pace, embraces change, and can creatively pivot when needed
                                                                  • +
                                                                  • Have a desire to work with Machine Learning and Natural Language Processing (NLP)
                                                                  • +
                                                                  • Have a Bachelor of Science degree or equivalent in computer science or related field with 4+ years of professional software development experience
                                                                  • +
                                                                  +

                                                                  What's in it For You

                                                                  +

                                                                  At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                                                  +
                                                                    +
                                                                  • +Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to cutting-edge technology
                                                                    • Our scientists and engineers explore big data sets to discover new capabilities and insights.
                                                                    +
                                                                  • +
                                                                  • +Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                                                  • +
                                                                  • +Perks: Social events & activities, employee discount programs through corporate perks
                                                                  • +
                                                                  +

                                                                  Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                                                  +

                                                                  +

                                                                  #LI-LP2

                                                                  ",Jeffrey.Schadoff@thomsonreuters.com,,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2022-06-10T18:44:29.289Z,False,2,0,16,https://talenthub.vectorinstitute.ai/jobs/124960853-senior-software-engineer-python-machine-learning-at-thomson-reuters,,expired,2022-05-11T18:44:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, +c571128c-c17e-4efd-a9c9-c3a174708639,124989633,Accenture,Data Science Senior Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-05-11T22:46:02.824Z,"

                                                                  Job Description

                                                                  +

                                                                  We Are
                                                                  The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                                                                  +

                                                                  +

                                                                  You Are
                                                                  An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                                                                  +

                                                                  +

                                                                  What You’ll Do
                                                                  • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                                                                  • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                                                                  • Lead multiple teams and engagements to engineer & deliver value for clients
                                                                  • Play an active role building a practice including capability development, recruitment, and mentorship
                                                                  • Help drive the innovation agenda, including thought leadership publication
                                                                  • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                                                                  + +


                                                                  +

                                                                  Qualifications

                                                                  +

                                                                  +

                                                                  What We’re Looking For
                                                                  • Extensive experience engaging with client senior leadership on complex business problems
                                                                  • Expertise developing solution offerings and communicating findings to executive audiences
                                                                  • Well versed with managing data science teams and engagements, and providing technical leadership
                                                                  • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                                                                  • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                                                                  +

                                                                  +

                                                                  Bonus Point If
                                                                  • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                                  • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                                  • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                                                                  • A blend of data science capability, industry and consulting expertise
                                                                  • High initiative and a desire/ability to persist through obstacles/ambiguity
                                                                  • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas

                                                                  +
                                                                  +

                                                                  Locations

                                                                  Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                                                  +
                                                                  +
                                                                  +

                                                                  Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                                  +
                                                                  +

                                                                  Equal Employment Opportunity Statement

                                                                  +

                                                                  All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                                  +

                                                                  Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                                  +

                                                                  Requesting An Accommodation

                                                                  +

                                                                  Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                  +

                                                                  If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                                  +

                                                                  Other Employment Statements

                                                                  +

                                                                  Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                                  +

                                                                  The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                                  ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-11T17:53:19.518Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/124989633-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,expired,2022-05-11T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, +64dc480a-d42a-4cf5-90b3-04df88e17344,125022652,Vector Institute,"Applied Machine Learning Scientist AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2022-05-12T07:06:03.777Z,"
                                                                  +

                                                                  POSITION SUMMARY

                                                                  +

                                                                  +

                                                                  As an Applied ML Scientist, you will provide technical leadership and contribute to applied research and its applications to solve real-world problems using machine learning. You will lead application of breakthrough machine learning research to solve real world problems, provide guidance and have an opportunity to work with the best and brightest scientists and machine learning experts. You will collaborate with some of the leading machine learning researchers, data scientists, and specialists to build machine learning and open-source software.

                                                                  +

                                                                  +

                                                                  Publishing papers on applied research is a part of this role, but the focus is on the impact of the applications, not on the quantity or quality of publications. We are seeking a Scientist with research experience in deep learning, machine learning, and graph-based methods.

                                                                  +

                                                                  +

                                                                  KEY RESPONSIBILITIES

                                                                  +

                                                                  +
                                                                    +
                                                                  • + Research and implement state of the art techniques to solve real world problems; +
                                                                  • +
                                                                  • + Work in collaboration with researchers, Applied ML Specialists, Vector’s professional staff, and collaboration partners to build demos, minimum viable products (MVP), and prototypes; +
                                                                  • +
                                                                  • + Provide scientific advice regarding overall machine learning application strategies and roadmaps;  +
                                                                  • +
                                                                  • + Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research; +
                                                                  • +
                                                                  • + Serve as the lead Vector scientific contributor for health, industry, and responsible AI projects including contributing to or leading the authoring of peer-reviewed research papers; +
                                                                  • +
                                                                  • + Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning; +
                                                                  • +
                                                                  • + Serve as an expert and facilitate identification of experts among the Vector Institute research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and, +
                                                                  • +
                                                                  • + Other duties as assigned. +
                                                                  -

                                                                  -

                                                                  What’s in it for you?

                                                                  -
                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                  • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.

                                                                  • +

                                                                    +

                                                                    PROFILE OF THE IDEAL CANDIDATE

                                                                    +

                                                                    +
                                                                      +
                                                                    • + PhD degree in computer science or computer engineering with a research focus on machine learning domains like foundation models, Deep Learning, computer vision, recommendation systems, and reinforcement learning +
                                                                    • +
                                                                    • + Demonstrated experience applying machine learning research to novel problems and data sets; experience in applied research +
                                                                    • +
                                                                    • + Experience with software engineering and/or data engineering is considered an asset +
                                                                    • +
                                                                    • + Strong knowledge and experience of Python +
                                                                    • +
                                                                    • + Experience with parameter and architecture tuning of deep learning algorithms is considered an asset +
                                                                    -

                                                                    -

                                                                    How do I apply?

                                                                    -

                                                                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                    -

                                                                    -
                                                                    1. Complete your PLUM Profile here and save as a screenshot.

                                                                    2. Complete a short one-way video interview here.

                                                                    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                                                                    4. -
                                                                    -

                                                                    -

                                                                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                    +

                                                                    +
                                                                    • + Experience using open-source deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA) +
                                                                    +

                                                                    +

                                                                    HOW TO APPLY

                                                                    +

                                                                    +

                                                                    Please address applications (cover letter and resume) to Richard Haldane, Talent Acquisition Specialist, using the link provided. The deadline for submission is May 24, 2022.

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:24:08.199Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/341358446-gbm-client-insights-and-analytics-internship-co-op-fall-2025-12-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -fe95d0ee-04ee-4118-aefc-f0ef24a1da0c,341329284,BMO Financial Group,Manager- Campaign Analytics & Execution (Private Wealth),on_site,"Ontario, Canada",2024-09-09T05:57:01.822Z,"
                                                                -

                                                                Application Deadline:

                                                                10/11/2024

                                                                -

                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Campaign Analytics and Execution role plays a pivotal role in the development and continuous improvement of revenue generating campaigns and leads programs for Private Wealth. This role will lead pre-campaign analysis, preparation and execution of lead programs, post campaign analysis and deliver results to senior leadership to determine program effectiveness. This role requires hand on experience of data ETL from multiple databases and schemas. The role also works with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools.

                                                                +

                                                                At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                                                If you require an accommodation at any point throughout the recruitment and selection process, please contact
                                                                hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=189&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-06-11T17:53:00.000Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/125022652-applied-machine-learning-scientist-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2022-05-12T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, +6c7ab77b-a737-4731-bc71-d3132539d00b,133300165,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2022-06-23T07:35:04.175Z,"
                                                                +

                                                                +

                                                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                +

                                                                Job Summary

                                                                +

                                                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                                                +

                                                                Main Responsibilities

                                                                +

                                                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment — 25%

                                                                +

                                                                · Drive continuous improvement by identifying opportunities and leading projects

                                                                +

                                                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                                                +

                                                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                                                +

                                                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                                                +

                                                                Advance Analytics — 75%

                                                                +

                                                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                                                +

                                                                · Apply statistical and machine learning knowledge to specific business problems and data

                                                                +

                                                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                                                +

                                                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                                                +

                                                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                                                +

                                                                Working Conditions

                                                                +

                                                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                                                +

                                                                Requirements

                                                                +

                                                                Experience

                                                                +

                                                                Research and Data Modelling

                                                                +

                                                                · Between 0 to 5 years of experience in research and advanced data modeling

                                                                +

                                                                o Between 0 to 5 years of experience in a large-scale operation and logistics environment

                                                                +

                                                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                                                +

                                                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                                                +

                                                                o Experience with warehouse management, transportation, and planning systems*

                                                                +

                                                                o Experience with technology and operation automation projects*

                                                                +

                                                                o Experience in applied research in areas relevant to AI *

                                                                +

                                                                o Experience with Machine Learning algorithms*

                                                                +

                                                                *Any experience for these above would be considered as an asset

                                                                +

                                                                Education/Certification/Designation

                                                                +

                                                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management or equivalent education a must.

                                                                +

                                                                · Degree in Operations Research, Data Science or similar is preferred.

                                                                +

                                                                · Master’s Degree in Engineering, Operations Research, Data Science, Statistics, Data Mining, Supply Chain Management or equivalent education or experience would be considered as an asset.*

                                                                +

                                                                *Any designation for these above would be considered as an asset

                                                                +

                                                                Competencies

                                                                +

                                                                · Applies critical thinking

                                                                +

                                                                · Sets direction and inspires others

                                                                +

                                                                · Collaborates with others and shares information

                                                                +

                                                                · Solves problems to create value

                                                                +

                                                                · Demonstrates agility and drives change

                                                                +

                                                                · Knows the business and stays current on industry needs

                                                                +

                                                                · Fluently bilingual both written and verbal (English, French)*

                                                                +

                                                                *Any skills/attributes for these above would be considered as an asset

                                                                +

                                                                Technical Skills/Knowledge

                                                                +

                                                                · Project and time management*

                                                                +

                                                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                                                +

                                                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                                                +

                                                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                                                +

                                                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                                                +

                                                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                                                +

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                +

                                                                About CN

                                                                +

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8125?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-07T07:40:06.633Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/133300165-analyst-advance-analytics-at-cn,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Associate,Masters Degree,New Posting, +c5906d64-56d2-4269-ba34-eb40f8db2934,134738755,CIBC,"Senior Consultant, Analytics & Automation",on_site,"Ontario, Canada",2022-06-30T10:46:07.679Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What you’ll be doing

                                                                +

                                                                As a Senior Consultant, Analytics & Automation, you will be joining the Internal Audit department and the Data Analytics (DA) team, reporting to the Director, Data Management and Analytics Enablement. You will be responsible for making complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes. Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics

                                                                +

                                                                +

                                                                How you’ll succeed

                                                                  -
                                                                • Acts as a trusted advisor to Private Wealth partners on campaign development, execution, and performance monitoring of revenue generating campaigns. Independently drive leads and campaigns programs.
                                                                • -
                                                                • The role will involve end to end design, pre-sizing, development, and implementation of performance reporting for campaign owners and stakeholders. In addition, they will manage the execution, monitoring and measurement of integrated campaigns that drive results to pipeline.
                                                                • -
                                                                • Translates business needs to technical specifications and evaluates existing data visualization systems to improve them.
                                                                • -
                                                                • Develop and implement a consistent campaign plan structure that clearly articulates business priorities/vision, goals and objectives and tactical elements.
                                                                • -
                                                                • Partner with channel leads and marketing analytics to understand campaign performance data, recommend improvements and compile reporting for Marketing Business Partners to communicate with stakeholders.
                                                                • -
                                                                • Identify, implement, and standardize approaches across the campaign management related to documentation, processes and communication for continuous improvement and efficiency.
                                                                • -
                                                                • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                                                • -
                                                                • Provides value through insights, reporting and data visualization techniques. Selects, configures, and implements analytics solutions for consistency and repeatability.
                                                                • -
                                                                • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                • -
                                                                • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                • -
                                                                • Documents data flow, systems, and processes to improve the design, implementation and management of business/group processes.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • -
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works independently and regularly handles non-routine situations.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                • +
                                                                • Curious and Creative – we are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive

                                                                • +
                                                                • Project Management and Process Design Skills – Our team constantly looks for ways to optimize and streamline processes to enhance efficiencies. A good understanding in User Interface and User Experience (UI/UX) design is preferred

                                                                • +
                                                                • Technical / Data Modelling Skills – prior experience in finding meaningful insights and design intuitive visualizations is beneficial. A background in web app design, data design, as well as DEV & UAT testing will be an asset

                                                                • +
                                                                • Data Management – Assist the director and the analytics team to source and manage new data sources for projects and ongoing audit engagements

                                                                • +
                                                                • Stay Current with Best Practices – our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics

                                                                • +
                                                                • Stay Current with Internal Audit – actively identify current and emerging trends, themes and topics in Internal audit analytics

                                                                -

                                                                Qualifications:

                                                                +

                                                                Who you are

                                                                +
                                                                  +
                                                                • You can demonstrate 3 years experience in: data management, UI/UX and dashboard design. Experience in PHP, Django, Python, HTML5, CSS, JavaScript, SQL, Alteryx, Hadoop (Cloudera)

                                                                • +
                                                                • You have a degree/diploma in Computer Science, Engineering, and/or a related field of study. It’s an asset if you have background in graphical design

                                                                • +
                                                                • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do

                                                                • +
                                                                • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results

                                                                • +
                                                                • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

                                                                • +

                                                                +

                                                                What CIBC offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  -
                                                                • 4+ years of analytics experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation and statistical tool such as SAS, SQL, PowerBI, Power Query, SQL, SAS, R, Python is considered an asset.
                                                                • -
                                                                • Experience in analyzing and presenting to senior team members and explaining performance metrics to non-data partners (internal or external) is considered an asset
                                                                • -
                                                                • Analytical and problem-solving skills - In-depth.
                                                                • -
                                                                • Verbal & written communication skills - In-depth.
                                                                • -
                                                                • Collaboration & team skills - In-depth.
                                                                • -
                                                                • Influence skills - In-depth.
                                                                • -
                                                                • Data modelling and data driven decision making - In-depth.
                                                                • -
                                                                • Data visualization and insights design – In-depth
                                                                • -
                                                                • Strong attention to detail
                                                                • -
                                                                • Ability to work in fast paced environment and is organized to manage multiple deliverables with tight turnaround time
                                                                • +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                • You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                -

                                                                -

                                                                Salary:

                                                                -
                                                                $68,000.00 - $126,000.00

                                                                -

                                                                Pay Type:

                                                                Salaried

                                                                -

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                -

                                                                -

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                -

                                                                -

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Campaign-Analytics---Execution--Private-Wealth-_R240022789?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-09T17:03:21.958Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/341329284-manager-campaign-analytics-execution-private-wealth-at-bmo-financial-group,,expired,2024-09-09T05:57:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -9cbf0de2-9967-4f15-ba86-e154d9794090,343661292,Thomson Reuters,Lead Software Engineer,on_site,"Ontario, Canada",2024-09-26T08:27:02.478Z,"
                                                                JOB DESCRIPTION
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Are you looking for an amazing opportunity to grow your Product Engineering career in a company with a mission to become the world’s #1 content-driven AI tech company?

                                                                -

                                                                -

                                                                We are seeking a talented, self-driven and highly motivated Lead Software Engineer to join the Corporates Tax and Trade team in Toronto. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of products.

                                                                +

                                                                Job Location

                                                                Toronto-81 Bay, 26th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Hyper Text Markup Language (HTML), JavaScript, jQuery, Python, Python Django, Structured Query Language (SQL) Development
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Analytics---Automation_2220189,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-07T10:51:09.722Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/134738755-senior-consultant-analytics-automation-at-cibc,,expired,2022-06-30T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +7b30eb8c-8107-4f86-96a6-c73dc8a7fa2c,131430681,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2022-06-13T21:06:12.178Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level.

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                The Business Banking Data Governance & Analytics group is responsible for the overall management of data requirements for Business Banking, including the development and implementation of a data strategy in line with enterprise standards & policies.

                                                                +

                                                                The group supports Business Banking operations, product and sales teams in the areas of data engineering, reporting, and analytics.

                                                                +

                                                                The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Office of Chief Data Officer.

                                                                +

                                                                Reporting to the Manager, Business Intelligence & Reporting, the Senior BI & Reporting Analyst will provide specialized end to end reporting & analytics for Business Banking products and services, including loans, lines of credit, deposits & cash management services.

                                                                -

                                                                -

                                                                About the Role

                                                                -

                                                                In this opportunity as Lead Software Engineer, you will:

                                                                -
                                                                • Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products.

                                                                -
                                                                • Lead the development and deployment of AI models, prioritizing efficiency, scalability, and maintainability.

                                                                -
                                                                • Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies.

                                                                -
                                                                • Participate in project/work planning sessions to analyze and understand requirements to the level of being able to contribute to their creation, in collaboration with capability/product and/or business owners.

                                                                -
                                                                • Develop and integrate applications per specification and translate technical requirements into application code and modules

                                                                -
                                                                • Approach development with a DevOps and continuous integration mindset.

                                                                -
                                                                • Ensure consistency with cloud architectural guiding principles for assigned projects

                                                                -
                                                                • Be proactive in raising problems, identifying solutions and giving/receiving feedback

                                                                -
                                                                • Assist in identifying and correcting software performance bottlenecks

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Job Description
                                                                The successful candidate’s accountabilities and responsibilities will include:

                                                                +

                                                                • Create complex and comprehensive BI reporting packages and dashboards and perform data/business analysis using various internal data sources to support the understanding of Business banking customers, business drivers and the financial results.
                                                                • Communicate analysis and ideas clearly, concisely and effectively with business partners and internal team.
                                                                • Liaise with Business stakeholders to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate delivery.
                                                                • Create and maintain detailed documentation on all projects/requests.
                                                                • Produce specialized reporting packages, dashboards & scorecards to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision making,
                                                                • Lead the implementation of initiatives in support of overall business/function strategy
                                                                • Conduct analysis to provide enhanced BI to inform management leadership team
                                                                • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                                                                • Develop meaningful and insightful commentary/insights on new and existing reporting packages.
                                                                • Work with business partners to understand business objectives and develop value-added reporting and provide ad-hoc data extracts
                                                                • Adopt, implement and effectively evolve report automation standards

                                                                -
                                                                -
                                                                • Work in a highly collaborative and dynamic agile team environment with multiple levels of technology staff across various geographical locations

                                                                -
                                                                • Providing technical expertise and peer code reviews to other team members and assisting team leads and project managers in work break down and story planning.

                                                                -

                                                                -

                                                                About You

                                                                -

                                                                You’re a fit for the role of Lead Software Engineer if your background includes:

                                                                -
                                                                • 7-10+ years of experience in software development.

                                                                -
                                                                • Proven track record in the development of solutions using AI and Machine Learning.

                                                                -
                                                                • Proficiency in one or more programming languages such as Python, Java, C++, JavaScript, or similar.

                                                                -
                                                                • Demonstrated ability to mentor and guide junior engineers.

                                                                -
                                                                • Strong understanding of software development principles: including design patterns, algorithms, and data structures.

                                                                -
                                                                • Experience with software development methodologies: Agile, Scrum, or similar.

                                                                -
                                                                • Familiarity with cloud technologies: AWS, Azure, GCP or similar.

                                                                -
                                                                • Knowledge of version control systems: Git or similar.

                                                                -
                                                                -
                                                                • Experience with testing and debugging tools.

                                                                -

                                                                #LI-LP2

                                                                +

                                                                Requirements

                                                                +

                                                                Job Requirements
                                                                • Undergrad in a quantitative discipline (Computer Sci, Math, etc)
                                                                • 5+ years experience in ETL development, data analysis and working with large volumes of data, ideally within financial services.
                                                                • 5+ years Experience in Software engineering (SQL, Python/pyspark/SAS)
                                                                • Project and time management skills
                                                                • Knowledge of one or more of the TD’s systems would be an asset, e.g. Loans, DAS, CIF, Term and EDW, Akora.
                                                                • Experience using visualization tools (e.g. Tableau)
                                                                • Analytical thinker with ability to manage multiple projects and meet tight deadlines.
                                                                • Well organized, high attention to detail, results-oriented.
                                                                • A solid team player, with strong interpersonal skills.

                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16085696/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-07T17:00:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131430681-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16085696/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2022-06-13T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +178b4944-d76d-4af9-9faa-b339656cb396,134309532,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2022-06-27T21:06:12.725Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                -

                                                                What\'s in it For You?
                                                                You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                +

                                                                About this Role

                                                                +

                                                                With your depth of experience and knowledge of data and insights, you’ll work closely with leadership teams, providing thought leadership and insights for a host of projects. Your goal? Deliver and communicate world-class, comprehensive analytical support, identify and enhance business opportunities, productivity and efficiency. TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value.

                                                                +

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                +

                                                                +

                                                                As a Business Insights Specialist, you will:

                                                                  -
                                                                • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                • -
                                                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                • -
                                                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                • -
                                                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                • -
                                                                • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                • -
                                                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                • +
                                                                • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise
                                                                • +
                                                                • Formulate relevant and significant data analysis through comprehensive profiling tools, segmentation, as well as bringing to bear advanced modeling and analytics
                                                                • +
                                                                • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help drive business growth or address business/enterprise needs
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Work autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
                                                                • +
                                                                • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
                                                                • +
                                                                • Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner
                                                                • +
                                                                • Act as the primary point of contact with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
                                                                • +
                                                                • Build and apply positive working partnerships to constructively influence and inspire partners where appropriate
                                                                • +
                                                                • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
                                                                • +
                                                                • Call out data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
                                                                • +
                                                                • Provides day-to-day support and delivery of analytics
                                                                • +
                                                                • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
                                                                +

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -


                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                -

                                                                -

                                                                We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                -

                                                                -

                                                                Accessibility

                                                                -

                                                                -

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                -

                                                                -

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                -

                                                                -

                                                                -

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                -

                                                                -

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                -
                                                                ",,https://careers.thomsonreuters.com/us/en/job/JREQ182488/Lead-Software-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-10T08:32:02.891Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/343661292-lead-software-engineer-at-thomson-reuters,,expired,2024-09-26T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -ecb18de2-af6e-473c-97dd-0b961bb0b0c0,344243205,Accenture,Data Lead,on_site,"Toronto, ON, Canada",2024-09-30T08:44:01.916Z,"
                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                We are:
                                                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds.

                                                                -


                                                                You are:
                                                                A hands-on Solution Architect who knows how to develop, design, and maintain technologies that work for our clients. You are a next-generation thinker when it comes to what we call Data in the New. Your superpower Using the latest data and analytics technologies to help clients glean the most value from their data. And you know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. You’re a digital native who’s right at home when the challenge calls for teamwork and originality.

                                                                -

                                                                -

                                                                What You’ll Do:

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes
                                                                • -
                                                                • Design and build robust data pipelines using scalable tools and techniques (yes, we’re talking big data) to produce high quality data structures
                                                                • -
                                                                • -Design data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholder.
                                                                • -
                                                                • Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks
                                                                • -
                                                                • Increase automation and scaling of complex data sets based on the customer’s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations
                                                                • -
                                                                show more show less
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -
                                                                -

                                                                What You’ll Need:

                                                                -
                                                                • Minimum 8 years of experience in Technology Delivery and Architecture
                                                                • Minimum 5 years of experience delivering Data & Analytics solutions on Azure/ AWS, with expertise in Azure/ AWS data services, ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS, AWS Redshift, AWS CloudFront, or Google
                                                                • Minimum 3 years of experience developing Data Platforms on Spark/Hadoop, ETL, Data Analytics Cloud Native Data Services
                                                                • Experience developing or migrating Spark workloads
                                                                • Strong hands-on experience in building data pipelines e.g. Spark, Kafka
                                                                • -
                                                                -

                                                                -

                                                                English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement

                                                                -


                                                                Bonus Points:

                                                                -
                                                                • Previous consulting or client service delivery experience.
                                                                • -
                                                                -
                                                                • Effective and persuasive in both written and oral communication.
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#businessintelligence #LI-Hybrid

                                                                -

                                                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                                                -

                                                                Information on benefits is here.

                                                                -

                                                                Role Location Annual Salary Range

                                                                -

                                                                British Columbia $89,500 to $204,100

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                #LI-NA
                                                                #LI-MP

                                                                -
                                                                -

                                                                Locations

                                                                -
                                                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto
                                                                -
                                                                -
                                                                -

                                                                -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                                                                -
                                                                -

                                                                Our Commitment to Inclusion & Diversity

                                                                -

                                                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                                -

                                                                Requesting An Accommodation

                                                                -

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                -

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                                -

                                                                Other Employment Statements

                                                                -

                                                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                                -

                                                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                                -
                                                                -
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                                                                Share
                                                                -
                                                                Share
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                                                                Job Link:
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                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00225550_en&title=Data%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-10T08:49:02.488Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/344243205-data-lead-at-accenture,,expired,2024-09-30T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -8fef5f7c-3623-407d-b6e0-b9bf150aa383,277326466,TELUS,Technology Architect - Responsible AI,on_site,"Ontario, Canada",2023-10-06T12:30:01.802Z,"
                                                                -
                                                                -

                                                                -
                                                                -

                                                                -

                                                                Join our team and what we’ll accomplish together

                                                                -

                                                                -

                                                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Technology Architect, Responsible AI, reporting to the Director of Data Ethics, you will work with a cross-functional group focused on enabling a framework for responsible use of artificial intelligence (Ai) and guide the development of AI, data-driven products and services in accordance with ethical principles.

                                                                -

                                                                -

                                                                You will be a champion for responsible AI across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to responsible AI will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data. This will help our business to implement AI solutions that not only perform well, but also operate ethically and responsibly, benefiting society as a whole.

                                                                -

                                                                -

                                                                What you’ll do

                                                                -

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16109523/business-insights-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-07T21:12:07.084Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/134309532-business-insights-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16109523/business-insights-specialist-toronto-ca/,expired,2022-06-27T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +37f4c0ff-32f8-454c-98be-8c58ef6dd3c6,134775944,Thomson Reuters,"Lead, Data & Model Ethics - Privacy Eng. Toronto; EAGAN, MN",on_site,"Ontario, Canada",2022-06-30T13:31:07.255Z,"
                                                                +

                                                                Lead, Data and Model Ethics – Privacy Engineering and Design

                                                                +

                                                                +

                                                                Thomson Reuters is transitioning to a content-driven technology company with over a century of experience curating and classifying data and supporting professionals in complex domains that move society forward. With some of the most comprehensive and richly enhanced legal, regulatory, news, and tax data in the world, Thomson Reuters is a leader in delivering technologies that inform the way forward.

                                                                +

                                                                +

                                                                The Data and Model Governance team, part of the Data and Analytics function, is responsible for ensuring governance practices that support the company’s leadership and delivery of world-class data and AI enabled solutions. The Privacy Engineering and Design Lead will be a critical member of this team, supporting the enterprise with building and delivering ethical and trustworthy technology.

                                                                +

                                                                +

                                                                The successful candidate will be responsible for the design and implementation of best practices and ways of workingacross the enterprise. The focus will be to ensure our teams’ use of data and development of models are using state of the art privacy and security preserving tools and techniques. Working closely with our data and model stewardship and technology teams, the successful candidate will be a go-to resource for advising on ethical design and engineering best practices.

                                                                +

                                                                +

                                                                *this is an emerging field of practice, if you are passionate about data and model ethics but don’t necessarily meet all of the below requirements, you are still strongly encouraged to apply.

                                                                +

                                                                +

                                                                About the Role:

                                                                +

                                                                · Partner on data profiling and database structure/model research to advise on relevant data and ModelOps (AI) best practices regarding privacy and security

                                                                +

                                                                · Partnering with our legal counsel, you will monitor and report on the latest developments in legislative and regulatory instruments as it pertains to privacy and security – incorporating into our policies as needed

                                                                +

                                                                · Partnering with our risk and security teams to ensure compliance with our privacy and security policies, and support with the maturation of our standards – support risk reporting and mitigation strategies as needed

                                                                +

                                                                · Partnering with our technology teams on the implementation of centralized and scalable privacy automation and by design methodologies and tools – coding practices and architecture

                                                                +

                                                                · Working closely with Data and Model stewardship network and stakeholders as a specialist consultant on data and AI projects across the organization – advising on technical tool implementation, research, and latest developments around privacy and security.

                                                                +

                                                                · Provide support and drive adoption of data and AI ethics and governance matters to colleagues across the organization – developing strategy and success metrics

                                                                +

                                                                · Contribute to the development of thought leadership and related educational resources both within the organization and externally

                                                                +

                                                                About You:

                                                                +

                                                                · Strong familiarity with Privacy by Design (PbD) Foundational Principles, FIPPS and the NIST Privacy Framework – demonstrated application an asset

                                                                +

                                                                · IAPP Certified CIPP/CIPT or in the process of obtaining

                                                                +

                                                                · Demonstrated understanding of AI governance activities including oversight mechanisms, documentation, development processes

                                                                +

                                                                · Practical experience working within a data and AI ethics governance framework an asset – thorough understanding of data and systems infrastructures

                                                                +

                                                                · Expert and rising leader within the privacy and security domains

                                                                +

                                                                · Solid understanding of global data and AI privacy principles and regulations (experience working with GDPR/Canadian Privacy Act an advantage)

                                                                +

                                                                · Deep technical knowledge and working experience in data management, data governance, and/or data quality exploring, analyzing, profiling, manipulating data sets (e.g. Cloud, Data Lake, SQL, Python, Alteryx…), or have worked closely with data scientists and engineers in implementing best practices for ethical use and development

                                                                +

                                                                · Strong familiarity with data management, ModelOps and traditional software development life cycles – practical experience working as a data scientist or software engineer a strong asset

                                                                +

                                                                · You are a solutions-oriented critical thinker with strong influencing and networking skills

                                                                +

                                                                · You demonstrate the ability to translate technical/business issues and requirements into actionable plans, and to deliver against those plans

                                                                +

                                                                · You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight

                                                                +

                                                                · 4-6 years of academic or industry experience, ideally within the domains of data management and responsible AI

                                                                +

                                                                · A strong asset – Masters degree or higher – higher education and certifications within the fields of data management, analytics, machine learning and AI, and/or technology ethics

                                                                +

                                                                What’s in it For You?

                                                                +

                                                                You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                +

                                                                · COVID-19 Response: Currently working remotely and following local COVID-19 bylaws and guidelines with the majority of our offices being remote until July 2021. Upon return, we will be embracing a hybrid work environment consisting of in-office and remote work

                                                                +

                                                                · Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                                +

                                                                · Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                                +

                                                                · Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                                +

                                                                · Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                                +

                                                                +

                                                                #LI-JS3

                                                                +

                                                                +

                                                                COVID-19 Vaccination Status Information Requirement (US employees only):

                                                                +

                                                                Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                                +

                                                                +

                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                +

                                                                +

                                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                +

                                                                +

                                                                Accessibility

                                                                +

                                                                +

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                +

                                                                +

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                +

                                                                +

                                                                +

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                +

                                                                +

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                +
                                                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Lead--Data-and-Model-Ethics---Privacy-Engineering---Design_JREQ155429?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-07-07T13:36:02.002Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/134775944-lead-data-model-ethics-privacy-eng-toronto-eagan-mn-at-thomson-reuters,,expired,2022-06-30T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +d8e3fc9a-5715-4d12-8a67-a63caa2781e5,130372278,League,Senior Data Scientist,on_site,"Toronton, ON",2022-06-09T05:06:08.157Z,"

                                                                Help Us Shape the Future of Healthcare

                                                                +

                                                                At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.

                                                                +

                                                                As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.

                                                                +

                                                                To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.

                                                                +

                                                                Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR).


                                                                In this role, you will:

                                                                  -
                                                                • Collaborating with cross-functional teams to develop and implement AI solutions in accordance with the TELUS’ Trust Model and data ethics framework
                                                                • -
                                                                • Advising on how responsible AI can serve as an enabler for business program operations and assist with the deployment of responsible AI across the organization
                                                                • -
                                                                • Developing and implementing testing and validation protocols to ensure AI systems are working as intended
                                                                • -
                                                                • Conducting research and staying up-to-date with the latest developments in AI ethics and responsible AI practices
                                                                • -
                                                                • Supporting the development of a TELUS’ framework for responsible AI in line with emerging leading practices
                                                                • -
                                                                • Integrating responsible AI into processes to support agile development methodology
                                                                • -
                                                                • Educating and advising business units on existing or new techniques, and providing innovative strategies and creative solutions to implement responsible AI
                                                                • -
                                                                • Participating in industry-wide efforts to advance responsible AI practices and standards
                                                                • +
                                                                • Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
                                                                • +
                                                                • Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
                                                                • +
                                                                • Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
                                                                • +
                                                                • Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
                                                                • +
                                                                • Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health
                                                                • +
                                                                +


                                                                About you:

                                                                +
                                                                  +
                                                                • MSc or PhD focused on data science/machine learning research or applications
                                                                • +
                                                                • 2+ years of experience in data science or machine learning engineering
                                                                • +
                                                                • 2+ years building and shipping data science based personalization services and recommendation systems
                                                                • +
                                                                • OR BSc focused on data science/computer science/engineering and 4+ years experience developing and shipping production grade machine learning systems
                                                                • +
                                                                • You have strong analytical and data science skills and are excited to apply it in non-traditional domains
                                                                • +
                                                                • You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
                                                                • +
                                                                • You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you
                                                                -

                                                                +

                                                                At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                Here are some additional resources to learn more about League:Learn more about us in this short video!League, Cleveland Clinic collaborate to make employees healthier across North AmericaLeague and Loblaw bring next-generation digital health platform to customersLeague Completes Workday Approved Integration Given the current public health guidance on COVID-19 and to help support office health and safety, at this time, it is our company policy to require all Leaguers to be fully vaccinated to attend our offices in person.

                                                                +

                                                                Recognize and Avoid Employment scams. Practice safe job searching.

                                                                +

                                                                Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

                                                                ",,https://boards.greenhouse.io/leagueinc/jobs/4459649004,feed-importer@jobboard.io,,,,2022-07-09T14:53:29.358Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/130372278-senior-data-scientist-at-league,https://boards.greenhouse.io/leagueinc/jobs/4459649004,expired,2022-06-09T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +0f3699a4-ee7e-4003-b206-3e27d639a66d,136043504,TD Bank Group,Senior Data Analyst,on_site,"Toronto, ON",2022-07-07T21:07:04.562Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +The Business Banking Data Governance & Analytics group is responsible for stewardship of all data requirements for Business Banking, including the development and implementation of a data strategy in line with Enterprise standards & policies.

                                                                The group supports Business Banking product and sales teams in the areas of data analytics, performance measurement, business intelligence and reporting.

                                                                +

                                                                The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by Enterprise Data Governance Office (EDGO)

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                Reporting to the Senior, the incumbent is accountable as Data Analyst to support the data activities of migration of legacy system to nCino Platform. They will work closely with the Business Bank’s Data Steward (DS) Product owner, Business Analysts, Business System Analysts to understand the migration requirements.

                                                                +

                                                                Accountabilities Include:
                                                                • Collaborate with Data Modeler, System Analysts and Business Data owners to do Source to Target mapping (STM) for the conversion team.
                                                                • Hands on developing queries for data profiling and data quality assessment
                                                                • Developing queries to support the ad-hoc request that support the migration, functional and integration PODs
                                                                • Understand data structures being modified and created across the projects and conduct lineage / reverse-engineering to understanding impacts to existing DG&A Artefacts (i.e. Reporting, Analytics)
                                                                • Collaborate with project team to verify business data test cases scenarios covers data quality meeting data requirements; create new test cases if required. High level verification of the quality data in lower environments.
                                                                • Facilitate and document current data state and future data target states to ensure effects of data are understood and communicated across all project stakeholders
                                                                • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed.
                                                                • Participate fully as a member of the Business Bank’s Data Governance & Analytics team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                                • Contribute to a fair, positive and equitable environment that supports a diverse workforce

                                                                -
                                                                -

                                                                -
                                                                -

                                                                -

                                                                What you bring

                                                                -

                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                • Seasoned data Analyst with proven ability to develop queries, reconcile migration reports , create source to target mapping documents
                                                                • Hands-on experience working with SQL language to carry-on daily data profiling and data quality is considered an asset
                                                                • Experience in working on data conversion and integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                                • Knowledge of Business Bank data and systems considered an asset including Salesforce/nCino
                                                                • Knowledge of platform and data warehouse design and principles is considered an asset
                                                                • Knowledge and experience in Agile projects, Jira and confluence tools is considered an asset
                                                                • Excellent relationship management skills.
                                                                • Excellent oral and written communication and presentation skills.
                                                                • Strong organizational awareness.
                                                                • Strong attention to detail and well-organized to manage large amounts of information and details
                                                                • Superior negotiation and creative problem-solving skills
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                Flex Time & Flex Place

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16190168/senior-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-14T21:12:07.571Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/136043504-senior-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16190168/senior-data-analyst-toronto-ca/,expired,2022-07-07T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +2aa54bfb-8caa-45a9-9010-6ba80b9947bd,136551195,Clearpath,Software Developer Co-op (OS Team),on_site,"Ontario, Canada",2022-07-10T07:35:03.626Z,"

                                                                Description

                                                                Position at Clearpath Inc.

                                                                +

                                                                Position: Software Developer Co-op (OS Team)
                                                                Location: Kitchener, Ontario
                                                                Duration: Fall 2022
                                                                Student Level: Junior
                                                                Area of Study: Software Engineering/Computer Science

                                                                +

                                                                About OTTO™ Motors

                                                                +

                                                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com

                                                                +

                                                                +

                                                                About the job:

                                                                +

                                                                You will be joining the OS (Operating Systems) team responsible for bridging the gap between the mechanical machine, the autonomy stack and the fleet manager. In this team, you will have the opportunity to experience a very broad software stack ranging from middleware software applications to very high-level server functionality.

                                                                +

                                                                Your primary responsibility will be to tackle hard problems and have the opportunity to show your skills in a team of highly competent developers. To be successful, you will need to know the basics of coding in C++ and Python, and bonus points if you know ROS as well. You will also need to be able to understand enough of a complicated system that is a self-driving robot and figure out what you need to do to complete your tasks. You will need to be able to make progress independently as well as leverage your team’s knowledge to be most efficient. You’ll have the opportunity to test and validate your solutions on our fleet of test robots.

                                                                +

                                                                Additional tasks may include:

                                                                  -
                                                                • Demonstrated track record of providing subject matter expertise embedding responsible AI into product and services while delivering on measurable outcomes in a highly complex stakeholder environment
                                                                • -
                                                                • Demonstrated working knowledge or understanding of responsible AI fundamentals (e.g. differential privacy, federated learning, adversarial testing, etc.) and machine learning pipelines
                                                                • -
                                                                • Familiarity with statistics, algorithms, and machine learning tools to analyze and evaluate fair and ethical AI, including generative AI
                                                                • -
                                                                • Passionate about responsible AI and the imperative to use data to solve big and small problems
                                                                • -
                                                                • Keen to explore new and creative solutions to change the trajectory of persistent challenges and motivated to bring those solutions to life
                                                                • -
                                                                • Appreciated for your excellent interpersonal and problem solving skills, and your ability to distill complex and/or ambiguous problems into clear, actionable requirements
                                                                • -
                                                                • Known for your ability to influence and negotiate effectively, to be a persuasive advocate, and known for your conflict resolution skills with a focus on win-win solutions
                                                                • -
                                                                • Sought out for excellent communication skills, verbal & written, with the ability to present information at all levels of the organization and leadership forums
                                                                • -
                                                                • 3-5 years experience in responsible AI
                                                                • -
                                                                • Post-secondary degree in computer science, computer engineering, information systems, ethics, or related field of study
                                                                • +
                                                                • Troubleshoot, address and validate issues.
                                                                • +
                                                                • Enhance existing components with new functionality.
                                                                • +
                                                                • Work collaboratively with a senior developer on a larger project.
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +

                                                                Required Skills:

                                                                  -
                                                                • Experience with the development, design, and architecture of IT technology, data management, and data integration processes
                                                                • -
                                                                • Experience with design for software applications running on multiple platforms
                                                                • -
                                                                • Experience with web architecture and the privacy and security model of the web
                                                                • -
                                                                • Bilingual in French & English, verbal and/or written
                                                                • -
                                                                • Certification in Privacy (e.g., CDPSE, CIPT, CIPM, CIPP certification)
                                                                • +
                                                                • Ability to work independently with minimal supervision and manage deadlines independently.
                                                                • +
                                                                • Practical software development skills.
                                                                • +
                                                                • Team player, good communicator.
                                                                • +
                                                                • Experience with Linux.
                                                                • +
                                                                • Version control (Git).
                                                                • +
                                                                • Proficiency in C++ and Python.
                                                                -

                                                                -

                                                                Location: Any major Canadian city

                                                                -

                                                                DTOJOBS2023

                                                                -

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Technology-Architect-Responsible-AI-ON/573632817/,feed-importer@jobboard.io,,,,2023-10-24T01:55:00.000Z,False,0,1,37,https://talenthub.vectorinstitute.ai/jobs/277326466-technology-architect-responsible-ai-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -769dee02-292a-4cfc-b902-d14b4082fcb0,281692317,RBC,"Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)",on_site,"Toronto, ON, Canada",2023-10-19T12:21:01.798Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                In the role of Senior Analyst, Strategic Analytics, you will be responsible for evolving Mydoh\'s data landscape; and developing business performance dashboards and assisting in developing strategies to identify opportunities solutions to support growth and transformation.

                                                                -

                                                                -

                                                                What will you do?

                                                                +

                                                                Helpful:

                                                                  -
                                                                • Establish credibility by quickly acquiring and demonstrating subject matter expertise and deep knowledge in Mydoh

                                                                • -
                                                                • Drive future state reporting and Advanced Analytics to enable a fact base strategy utilizing internal and external data and insight

                                                                • -
                                                                • Drive insight from Mydoh data and competitive landscape in terms of what the data is telling up and what we need to do accordingly

                                                                • -
                                                                • Evolve Mydoh data landscape by implementing core data capabilities to enable private banking growth strategy leveraging modern data architecture and technologies

                                                                • +
                                                                • Unit testing, system-level testing, and continuous integration.
                                                                • +
                                                                • Bash, or other scripting experience.
                                                                • +
                                                                • Exposure to CMake, especially in a packaging or deployment context.
                                                                • +
                                                                • Experience with ROS, or other robotics middleware.
                                                                • +
                                                                • JIRA
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                +

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/otOTjfwd,feed-importer@jobboard.io,,,,2022-07-14T16:16:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136551195-software-developer-co-op-os-team-at-clearpath,,expired,2022-07-10T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, +badef876-3b2c-4b05-92db-cb5e250d9544,140714686,Clearpath,Systems Designer Co-op,on_site,"Ontario, Canada",2022-08-01T07:35:06.172Z,"

                                                                Description

                                                                +

                                                                Position: Systems Designer Co-op
                                                                Location: Kitchener, Ontario
                                                                Study Level: Senior
                                                                Area of study: Software Engineering/Hardware Engineering/ Systems Engineering/Mechatronics

                                                                +

                                                                About Clearpath Robotics Inc.

                                                                +

                                                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research products and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                                +

                                                                About OTTO™ Motors

                                                                +

                                                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit https://ottomotors.com

                                                                +

                                                                About the Job

                                                                +

                                                                Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, machine learning, computer vision and more.

                                                                +

                                                                Systems Engineering is about creating something that is more than the sum of the parts. You will be responsible for using your varied experience and appropriate modelling and analytical methodologies to determine the solution to a product problem by applying the optimum combination of mechanical, electronic and software solutions. You will work directly with the other teams in the Software, Electronics, Test and Mechanical Design disciplines to interpret the product requirements and produce an integrated product. You will then be responsible for defining the specifications of the final product and validating that it meets the requirements.

                                                                +

                                                                Your primary responsibilities will be:

                                                                  -
                                                                • 2+ years of relevant experience in an analytical function

                                                                • -
                                                                • Nimble with SQL for querying and joining large datasets and/or creating reports

                                                                • -
                                                                • Experience communicating analytics results back to business partners and/or C-level: handling objections, proven experience on influencing driving data-driven strategy is a big plus.

                                                                • -
                                                                • Demonstrates innate curiosity and an ability to develop innovative solutions

                                                                • -
                                                                • An eager listener and a team player who is comfortable forming cross functional relationships with our partners, has proven experience of forming and managing these relationships, and is passionate about developing peers, winning as a team, and providing constructive feedback where and when needed

                                                                • +
                                                                • Creating & maintaining a variety of engineering diagrams (Architecture, Context, State, Process/Swimlane) to communicate design intent
                                                                • +
                                                                • Collect, document and track status of System Requirements
                                                                • +
                                                                • Create test plans for requirement verification
                                                                • +
                                                                • Perform System validation testing
                                                                -

                                                                -

                                                                Nice-to-have

                                                                +

                                                                Additional tasks may include:

                                                                  -
                                                                • Experience publishing reports/dashboards, and visualizations with Tableau is a big plus.

                                                                • -
                                                                • University degree in a quantitative field of study (e.g., statistics, economics, business analytics)

                                                                • +
                                                                • Decomposition of product needs into system requirements
                                                                • +
                                                                • Identify gaps in the design vs the product expectations.
                                                                • +
                                                                • Analysis of product, it’s structure and interactions of subsystems
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                Required Skills:

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • -
                                                                • Ability to make a difference and lasting impact

                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • -
                                                                • Opportunities to do challenging work

                                                                • +
                                                                • Understanding of the Product Development Lifecycle
                                                                • +
                                                                • Exposure /Experience/Ability to work in a broad range of interdisciplinary departments: mechanical, electrical, software design and manufacturing
                                                                • +
                                                                • Strong Excel/Word/Powerpoint (or Google equivalents) skills
                                                                • +
                                                                • Excellent teamwork/communication skills
                                                                • +
                                                                • Experience with Visio/Lucidcharts or similar for creating Process and Block diagrams
                                                                • +
                                                                • Ability to independently develop high quality software solutions
                                                                • +
                                                                • Creative problem-solving skills, excellent analytical abilities and ability to work in a team
                                                                • +
                                                                • Demonstration of Systems thinking
                                                                • +
                                                                +

                                                                Bonus points for:

                                                                +
                                                                  +
                                                                • Experience with 3D CAD software (pref. Solidworks)
                                                                • +
                                                                • Software development skills in modern C++/C# and python
                                                                • +
                                                                • Experience with ROS
                                                                • +
                                                                • Proficiency with Linux
                                                                +

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/opPTjfwa,feed-importer@jobboard.io,,,,2022-08-04T17:56:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/140714686-systems-designer-co-op-at-clearpath,,expired,2022-08-01T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, +e9ad2e06-0423-4bc3-b077-3bcb2e204209,141325371,Sun Life Financial,Senior Data Science Engineer,on_site,"Ontario, Canada",2022-08-03T07:26:03.120Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                RBCX

                                                                -

                                                                VSANALYTICS

                                                                -

                                                                #LI-POST

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                20 KING ST W:TORONTO

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-07-26

                                                                Application Deadline:

                                                                2023-10-23
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000064494/Senior-Analyst-Strategic-Analytics-RBCx-Ventures-Mydoh,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-24T01:55:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/281692317-senior-analyst-strategic-analytics-rbcx-ventures-mydoh-at-rbc,,expired,2023-10-19T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -18a1473d-c034-41be-96d3-133441149d18,279168708,RBC,"Director, AML Analytics",on_site,"Toronto, ON, Canada",2023-10-12T12:21:01.797Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Director, AML Analytics

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                As the Director, AML Analytics you are responsible for developing and maintaining sophisticated anti-money laundering (AML) models to detect and prevent financial crimes within our organization. This is transformational role that arises from two emerging trends in anti-financial crime programs: the propagation of data / analytics capabilities used to detect financial crime and the need to identify increasingly complex-organized money laundering operations. The Director, AML Analytics will work with AML Insight and Analytics, the AML Transformation Office and the AML Financial Intelligence Unit to build and deliver leading edge analytic detection and investigative capabilities.

                                                                +

                                                                Job Description:

                                                                -

                                                                What will you do?

                                                                +

                                                                Role Summary

                                                                +

                                                                +

                                                                As a Senior Data Science Engineer, and a member of the Data and Analytics, Data and Engineering Operations team, you will utilize your knowledge in the data science stream to partner with internal and external clients to ensure the technology and process solutions delivered/supported meet their needs. This team thrives on challenges; we learn from each other and provide a rich environment where people can grow their skills. We strive to hire only the best, so you will be working with bright people in a dynamic and highly collaborative work environment.

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Develop and maintain anti-money laundering (AML) models to detect financial crimes.
                                                                • -
                                                                • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
                                                                • -
                                                                • Apply sophisticated modelling techniques, including graph and machine learning analytics, to develop and implement components of the AML Investigator of the Future platform.
                                                                • -
                                                                • Establish a development roadmap for network risk scoring (batch and dynamic) by defining the prevalent features that will be integrated into the monitoring program and used in the course of an investigation.
                                                                • -
                                                                • Conduct data exploration and cleansing to ensure high-quality data for model development and validation.
                                                                • -
                                                                • Identify opportunities to streamline or automate processes to promote efficient and effective use of resources.
                                                                • -
                                                                • Implement and optimize scoring algorithms, decision trees, rule-based systems, and anomaly detection techniques.
                                                                • -
                                                                • Monitor model performance, identify issues, and propose solutions for continuous improvement and accuracy.
                                                                • -
                                                                • Conduct thorough testing and documentation of developed models, adhering to regulatory compliance standards.
                                                                • -
                                                                • Stay up to date with industry best practices, emerging trends, and regulatory changes in AML and predicate offense detection.
                                                                • -
                                                                • Collaborate with Compliance and Risk teams to address AML-related issues and provide technical expertise.
                                                                • -
                                                                • Participate in model validation exercises, including stakeholder engagement, analysis, and reporting.
                                                                • +
                                                                • Design, develop and drive innovative Data and Analytics thinking, including Predictive Modelling, and Data Science application development

                                                                • +
                                                                • Implement innovative products which improve the analytics landscape

                                                                • +
                                                                • Design, develop, test, deploy and support workloads on AWS SageMaker models. In this role you can learn AWS Sagemaker if you have experience with other comparable cloud environment tools.

                                                                • +
                                                                • Develop automation code and provide fixes and improvements using Python/R

                                                                • +
                                                                • Review existing data science model code to identify areas for improvement, present findings to data scientists, and help to execute the recommendations

                                                                • +
                                                                • Prepare data from various internal sources for ingestion into the AWS SageMaker environment

                                                                • +
                                                                • Develop and support customized interactive Tableau dashboards for internal business partners. In this role you can learn Tableau by leveraging your current experience with other similar tools.

                                                                • +
                                                                • Deliver training materials and documentation that lay out processes for using various analytics toolsets

                                                                • +
                                                                • Work directly with a wide audience to structure analytical problems and approaches, and provide ongoing support, communication, and prompt resolution for data science products

                                                                • +
                                                                • Participate in provisioning and management of cloud-based enterprise Data and Analytics tools

                                                                • +
                                                                • Maintain current knowledge on Quantitative Analysis, Machine Learning and Analytics tools and techniques

                                                                -

                                                                What do you need to succeed?

                                                                +

                                                                What do you need to succeed?

                                                                +
                                                                  +
                                                                • Post-Secondary degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another related field

                                                                • +
                                                                • Minimum of 3 years experience in using Python/R

                                                                • +
                                                                • At least 1 Year experience with containerization (Docker)

                                                                • +
                                                                • 2 years experience deploying Machine Learning model in a production environment

                                                                • +
                                                                • Experience working with code version control through git

                                                                • +
                                                                • Demonstrated quantitative, analytical, problem-solving, conceptual thinking skills, and data transformation and manipulation experience

                                                                • +
                                                                • +

                                                                  Deep understanding of the following:

                                                                  +
                                                                    +
                                                                  • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components

                                                                  • +
                                                                  • Statistics, linear algebra, probability theory

                                                                  • +
                                                                  • Computer science fundamentals

                                                                  • +
                                                                  +
                                                                • +
                                                                • Excellent verbal and written communication skills

                                                                • +
                                                                • Strong organizational and time management skills​

                                                                • +

                                                                -

                                                                Must-have

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • Experience with AML or fraud modeling and investigation environments that utilize detection / predictive models

                                                                • -
                                                                • Programming experience ideally using an object oriented programing language such as Java, Scala (ideally), R or Python.

                                                                • -
                                                                • Minimum of 5 years of experience leading a data science or analytics team

                                                                • -
                                                                • Agile development methodology

                                                                • -
                                                                • Statistical approaches and methods and their application on projects

                                                                • -
                                                                • Post-secondary education or equivalent.

                                                                • +
                                                                • Experience and/or training in Cloud platforms like AWS, MS Azure, and Google Cloud Platform

                                                                • +
                                                                • Experience writing SQL queries to analyze data and gather valuable insights

                                                                • +
                                                                • Understanding of agile teams and patterns

                                                                • +
                                                                • Strong understanding of agile teams (Scrum, Kanban etc.)

                                                                • +
                                                                • Working experience with Confluence and Jira

                                                                • +
                                                                • Experience with relational databases and data modeling techniques

                                                                -

                                                                Nice-to-have

                                                                +

                                                                Unique Requirements

                                                                  -
                                                                • Graduate degree (MBA or relevant subject matter area)

                                                                • -
                                                                • Data mapping, meaning of relational data and object orientation.

                                                                • -
                                                                • Understands projects needs and can translate into detection models and capabilities.

                                                                • -
                                                                • Model documentation, ideally AML model governance

                                                                • +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                What\'s in it for you?

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • -
                                                                • Ability to make a difference and lasting impact

                                                                • -
                                                                • Flexible work/life balance options

                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • -
                                                                • Opportunities to do challenging work

                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • +
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • +
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • A friendly, collaborative, and inclusive culture

                                                                • +
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • +
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • +
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                20 KING ST W:TORONTO

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-10-11

                                                                Application Deadline:

                                                                2023-10-26
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000069614/Director-AML-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-26T20:28:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/279168708-director-aml-analytics-at-rbc,,expired,2023-10-12T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -0a49c277-6f79-4216-b979-53828313475f,263354232,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-08-24T16:23:02.751Z,"
                                                                -

                                                                Hours

                                                                -
                                                                37.5

                                                                -

                                                                Workplace Model

                                                                -
                                                                Hybrid

                                                                -

                                                                Pay Details

                                                                -

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                -
                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Job Details

                                                                -
                                                                -

                                                                About this Role

                                                                -

                                                                You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                                                -

                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                -

                                                                As a Data Scientist I, you will be supporting Financial Reporting Control(FRC) Data & Analytics function to deliver:

                                                                -
                                                                1.CCOA and Attestation Dashboard Maintenance and Development
                                                                -
                                                                §Quality checks, data integration and refresh of various reports used for policy governance.
                                                                -
                                                                §Undertake additional analysis related to exceptions and trends – produce governance and exception reporting e.g., significant period over period changes, analyze QoQ changes in attestations, etc.
                                                                -
                                                                §Create reports for FRC’s oversight and monitoring mandate including business rules & data lineage for various reports, reports for submission to Internal Audit for remediation testing, progress updates for Project Lotus, etc.
                                                                -
                                                                §Add and operationalize incremental metrics related to new policy requirements, monitoring and oversight.
                                                                -
                                                                2.Operationalization of Chart of Accounts Policy (CCOA Policy)
                                                                -
                                                                §Ongoing development and enhancements to key metrics and KPIs to monitor policy compliance
                                                                -
                                                                §Assist to remediate gaps identified in chart of accounts governance and end-to-end oversight control
                                                                -
                                                                §Support implementation of controls and monitoring for CCoA Policy implementation e.g.,
                                                                -
                                                                Tracking of newly opened GL accounts & dimensions, oversight of dynamically open accounts by business segment & source
                                                                -
                                                                Tracking of closed, deleted & purged account in various GL systems
                                                                -
                                                                Development & operationalization of new oversight metrics
                                                                -
                                                                -
                                                                3.Ongoing daily support (examples below)
                                                                -
                                                                §Support FRC in its ongoing oversight mandate for various control & oversight activities as required – example include completeness checks at quarter ends, exceptions reporting, variance root cause analysis etc.
                                                                -
                                                                §Defining target audience for training based on mandatory roles and nominations from various teams. Extract details like emails and ACF2’s
                                                                -
                                                                §Tracking registrations, attendance and pending to date. Manage module in dashboard on trainings assignments and completeness
                                                                -
                                                                §Others ad hoc support examples include
                                                                -
                                                                Work with different teams on identifying Transit/Suspense/Cash account
                                                                -
                                                                Support ARCs discussions & requirements and reviewing new logic for ARCS data feed
                                                                -
                                                                -Support FRC on Business segment breakdown
                                                                -
                                                                4.Support Future Ongoing Enhancements
                                                                -
                                                                §Re-configure to ARCs : Data engineering and platform update to switch attestation & reconciliation data from current tools (ACATT, Trintech) to ARCs
                                                                -
                                                                §Move to Cloud : Migration to Akora on Cloud from Akora on Prem
                                                                -
                                                                §Automation :
                                                                -
                                                                Efforts to automate parts of data sourcing & ingestion (as feasible)
                                                                -
                                                                Enhancing data source to minimize sideloading process (onboard data to Akora)
                                                                -
                                                                -
                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                Job Requirements

                                                                -
                                                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -

                                                                Advanced Big Data Processing

                                                                -
                                                                §Advanced coding in data processing tools like Python, PySpark, Databrick.
                                                                -
                                                                §Perform activities like data modeling, integrating files, record roll-up & attribution, deriving analytical attributes etc.
                                                                -
                                                                -§Link big data platform to BI tools using data connectors

                                                                -
                                                                Advanced Tableau
                                                                -
                                                                §Developing new views – ability to design & develop complex views & metrics
                                                                -
                                                                §Updating existing views – update parameters, refresh data to update existing modules, perform QC, optimize load time
                                                                -
                                                                -Business Knowledge

                                                                -
                                                                §Good understanding of General Ledgers & Accounting, Governance & Controls and associated data structures
                                                                -
                                                                §Familiarity with Attestation & Reconciliation processes & tools
                                                                -
                                                                §Knowledge of key terms & KPI’s related to policy, controls, governance and oversight activities & processes
                                                                -

                                                                Project Management

                                                                -
                                                                §Ability to understand metrics & validate with business partners, conduct Demos to gather feedback
                                                                -
                                                                §Maintaining various mapping files and prepare & prioritize backlog for platform enhancements & any fixes
                                                                -
                                                                §Documentation Skills like drafting Technical Documentation, Business & System Requirements, PowerPoints
                                                                -
                                                                §Perform data QC & completeness checks and undertake root-cause analysis in cause of any discrepancies
                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                74,900/74 900 - 125,900/125 900

                                                                +

                                                                Job Category:

                                                                IT - Technology Services

                                                                +

                                                                Posting End Date:

                                                                01/08/2022
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Support-Engineer--Analytics_JR00062556?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-04T18:09:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/141325371-senior-data-science-engineer-at-sun-life-financial,,expired,2022-08-03T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +afed07b1-9553-4dc4-80e8-1c093b2b7ef0,135940785,Shopify Inc.,"Lead (Staff) Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-07-07T07:35:02.356Z,"

                                                                About the role

                                                                +

                                                                Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

                                                                +
                                                                  +
                                                                • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.

                                                                • +
                                                                • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?

                                                                • +
                                                                • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.

                                                                • +
                                                                • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.

                                                                • +
                                                                +

                                                                +

                                                                Qualifications

                                                                  +
                                                                • An experienced technical leader with a proven track record of delivering impactful results.

                                                                • +
                                                                • Technical engineering background in one or more areas in the next section.

                                                                • +
                                                                • Experience with technical mentoring, coaching, and improving the technical output of the people around you.

                                                                • +
                                                                • Exceptional communication skills and ability to translate technical concepts into easy to understand language for our stakeholders.

                                                                • +
                                                                • Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.

                                                                • +
                                                                +

                                                                A Staff (Lead) Data Engineer would typically have 6-10 years of experience in one or more of the following areas:

                                                                +
                                                                  +
                                                                • Experience with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)

                                                                • +
                                                                • Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)

                                                                • +
                                                                • Experience with cloud infrastructure (Google Cloud, Kubernetes, Terraform)
                                                                  Experience with security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)

                                                                • +
                                                                • Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)

                                                                • +
                                                                • Experience building full-stack applications (Ruby/Rails, React, TypeScript)

                                                                • +
                                                                • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)

                                                                • +
                                                                • Modern Big-Data storage technologies (Iceberg, Hudi, Delta)

                                                                • +
                                                                -

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                +

                                                                As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

                                                                +

                                                                #LI-REMOTE

                                                                +

                                                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                                +

                                                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                How we hire

                                                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                                                Learn more about our hiring process
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-28T16:28:02.269Z,False,0,16,50,https://talenthub.vectorinstitute.ai/jobs/263354232-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,expired,2023-08-24T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -ec3b78db-a803-45ce-9eeb-8da98d7b13ee,253577065,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-07-31T16:04:03.083Z,"
                                                                -
                                                                -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of like-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. -
                                                                -

                                                                -
                                                                Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                -

                                                                -
                                                                BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada.
                                                                -
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                  • -
                                                                  • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                  • -
                                                                  • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                  • -
                                                                  • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                  • -
                                                                  • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                  • -
                                                                  • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                  • -
                                                                  • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment.
                                                                  • -
                                                                  • Participate and contribute to Agile grooming, planning and estimation.
                                                                  • -
                                                                  • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                  • -
                                                                  • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                  • -
                                                                  • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                  • -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                  • -
                                                                  • Strong experience with NLP and LLMs.
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals.
                                                                  • -
                                                                  • Extensive experience with PyTorch.
                                                                  • -
                                                                  • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                  • -
                                                                  • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas. Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                  • -
                                                                  • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                  • -
                                                                  • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty. Strong cross-team communication and collaboration skills.
                                                                  • -
                                                                  • A growth mindset and a constant desire to learn.
                                                                  • -
                                                                -
                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-30T17:37:58.206Z,False,0,10,79,https://talenthub.vectorinstitute.ai/jobs/253577065-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5,expired,2023-07-31T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-11-15T17:42:01.840Z,"
                                                                -
                                                                -

                                                                Description

                                                                +
                                                                +
                                                                ",,https://www.shopify.ca/careers/lead-staff-data-engineer-remote-canada_9356598e-1a12-4c7f-8133-f611f0c83cb5,feed-importer@jobboard.io,,,,2022-08-06T15:27:57.532Z,False,0,0,16,https://talenthub.vectorinstitute.ai/jobs/135940785-lead-staff-data-engineer-remote-canada-at-shopify-inc,,expired,2022-07-07T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +59beb6e7-4e99-4240-9c24-0055320db757,134678658,Deloitte,"Senior Consultant, Data Governance Specialist - Platform Implementation, Omnia AI",on_site,"Toronto, Ontario, Canada",2022-06-30T02:43:03.488Z,"

                                                                -


                                                                -

                                                                Join our team and what we\'ll accomplish together

                                                                -


                                                                We are looking for an enthusiastic Lead Data Engineer who can help us bring focus, flow, and joy to all developers at TELUS as part of our Platform Engineering team.

                                                                We believe that a strong data science competency is required at TELUS for our business to be successful, and that happy humans build fantastic software. And so our calling is to improve developer focus, flow, and joy at TELUS. This means implementing changes to our systems and processes to make developer platform insights into reality.

                                                                -

                                                                What you will do

                                                                -
                                                                  -
                                                                • Lead a team of data engineers, data analysts and developers on our journey to strengthen the developer experience through all data ingested, secured, managed, processed and analyzed on our metrics platform
                                                                • -
                                                                • -Lead initiatives that will improve focus, flow, and joy for software developers across the organization
                                                                • -
                                                                • Work with equally smart, grounded and collaborative individuals, as well as down-to-earth leaders who get stuff done and deliver measurable results
                                                                • -
                                                                • Lead challenging and interesting problems, and strive to do the right thing, the right way and continuously improve via KPIs
                                                                • -
                                                                • Innovate every day and have the freedom to contribute your ideas
                                                                • -
                                                                • Drive the development of data analytics strategy by developing and enhancing data democratization principles
                                                                • -
                                                                • Present our users with relevant, actionable and timely data to improve on software development KPIs such as stability, velocity and availability
                                                                • -
                                                                -

                                                                -

                                                                The platform engineering team is delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data,

                                                                -

                                                                -

                                                                We are entrepreneurial and passionate, we believe that anything is possible and can be achieved by innovative and meaningful outcomes for our customers, team members and that through meaningful and impactful endeavors we can integrate dynamic change in our professional lives.

                                                                -

                                                                -

                                                                We intend to shape the future of how machine learning, data processing and analysis can drive TELUS through insights that solve releasing software to production on-demand.

                                                                -

                                                                -

                                                                Help architect the future of our enterprise data solutions and leverage the best of Google Cloud’s data management, analysis and machine learning capabilities and drive forward our data strategy.

                                                                +

                                                                Job Type: Permanent
                                                                Primary Location: Toronto, Ontario, Canada
                                                                All Available Locations: Toronto

                                                                +

                                                                Learn from deep subject matter experts through mentoring and on the job coaching
                                                                Be encouraged to deepen your technical skills…whatever those may be.
                                                                Be empowered to lead and have impact with clients, our communities and in the office.

                                                                +
                                                                +
                                                                +

                                                                +

                                                                At Deloitte we value the opportunity to network and build relationships with skilled individuals, even in periods where we are not actively hiring. If you would like to apply to this future opportunity role, and have the required qualifications, you can expect to be contacted by the recruitment team within a few days
                                                                Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                                                -

                                                                Here’s how

                                                                +

                                                                What will your typical day look like?

                                                                -
                                                                  -
                                                                • Overseeing the team that builds and iterates data pipelines to process data either where it lives, or across boundaries into a single system.
                                                                • -
                                                                • Analyze datasets, build data relationships and models to generate reports, meaningful insights and machine learning automation to support the business
                                                                • -
                                                                • Build a cohesive data platform that extends between the cloud and our data centers which can ingest, transform and process data.
                                                                • -
                                                                • Support operational efficiencies across our people, software engineering processes, management and our technical programs by leveraging data retrieved from our systems and tools.
                                                                • -
                                                                • Lead the team supporting the data pipelines feeding into our machine learning algorithms and models. Explore the latest tools and API’s that can help optimize our Machine Learning operations.
                                                                • -
                                                                • Lead the team to assist the extracting, loading, transforming, cleaning, and validating of data from both inside and outside of Telus.
                                                                • -
                                                                +

                                                                As a Data Governance Specialist, you will play an active role throughout the entire engagement cycle, specializing in data solutions covering data governance, data quality, data classification, data lineage and data cataloging.

                                                                +

                                                                Specifically, you will:
                                                                • Work with cross-functional stakeholders including executives, IT representatives, business leaders and the analytics/AI user community to understand data challenges and identify solutions for remediation
                                                                • Define data governance operating models and implement data governance frameworks
                                                                • Develop data policies, processes, and standards
                                                                • Plan/schedule tasks, coordinate client sessions, manage project management plan and report progress

                                                                -

                                                                Qualifications

                                                                +

                                                                About the team

                                                                -


                                                                -

                                                                What you bring

                                                                -
                                                                  -
                                                                • -You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                                                                • -
                                                                • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning
                                                                • -
                                                                • Realize the vision of Data Democratization for software delivery metrics. Educate our customers on how to work with data to improve and reap the rewards
                                                                • -
                                                                • AI/ML tools expertise
                                                                • -
                                                                • GCP Professional Data Engineering certification
                                                                • -
                                                                • Google Cloud Dataflow and Google BigQuery experience
                                                                • -
                                                                • Orchestration and job scheduling platforms experience
                                                                • -
                                                                • Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, DataLooker, Dataprep, Composer, etc)
                                                                • -
                                                                • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems
                                                                • -
                                                                • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                                • -
                                                                • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                                • -
                                                                • Communication skills to ensure effective management of relationships, prepare presentations for leadership consumption.
                                                                • -
                                                                +

                                                                Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                                +

                                                                As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                                                -
                                                                ",,https://careers.telus.com/job/Burnaby-L5-Software-Development-Brit/565119317/,feed-importer@jobboard.io,,,,2022-12-17T14:19:22.702Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/167456282-lead-data-engineer-at-telus,,expired,2022-11-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Masters Degree,New Posting, -207d16fb-bf0f-4861-9117-f8380293b67b,167802348,KPMG,Senior Consultant - Data Analyst,on_site,"Toronto, Canada",2022-11-16T17:26:02.394Z,"Overview

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                Our Governance, Risk and Compliance Services (GRCS) team is growing and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

                                                                  -
                                                                • Learn more about Risk Consulting here
                                                                • -
                                                                • Learn more about our Toronto office here
                                                                • -

                                                                What you will do

                                                                As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                  -
                                                                • Work closely with clients and partners in understanding key business issues on digital opportunities
                                                                • -
                                                                • Gather and analyze requirements to develop impactful recommendations and solutions
                                                                • -
                                                                • -Utilize advanced analytical techniques to solve challenging business problems to identify areas of risk, opportunities and recommend solutions for our clients. Leverage a diverse set of technologies and tools to deliver insights -
                                                                • -
                                                                • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, data management, data governance, reporting, visualization and/or intelligent automation
                                                                • -
                                                                • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
                                                                • -
                                                                • Work with large volumes of data (structured and unstructured)
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues
                                                                • -
                                                                • Effectively communicate orally and written with peers within GRCS, KPMG and the client
                                                                • -

                                                                What you bring to the role

                                                                You have strong work experience and academic record and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                  -
                                                                • Strong experience of 3-5 years, working with different kinds of messy, real-world data from a variety of databases
                                                                • -
                                                                • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration, and can achieve personal and professional success while juggling competing priorities and deadlines
                                                                • -
                                                                • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
                                                                • -
                                                                • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
                                                                • -
                                                                • Experience in data governance, data quality, data processing, and data controls
                                                                • -
                                                                • Client-facing or consulting experience
                                                                • -
                                                                • Experience communicating insights or ideas through presentations and meetings
                                                                • -
                                                                • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset
                                                                • -
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • -
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • -
                                                                • Ability to understand and explain business value of data and analytics concepts
                                                                • -
                                                                • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                • -
                                                                • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                • -
                                                                • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                • -
                                                                • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                • -

                                                                Keys to your success:

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                Providing you with the support you need to be at your best



                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                Our Values, The KPMG Way

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                ",,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-12-17T14:35:21.678Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/167802348-senior-consultant-data-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,expired,2022-11-16T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -75b2c4fc-23d8-47dd-9e81-31c42ddc97e5,178100528,Scotiabank,"Senior Manager, Retail Deposit Analytics",on_site,Canada : Ontario : Toronto,2022-12-16T17:22:02.604Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169202

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -


                                                                The Senior Manager, Retail Deposit Analytics is responsible for leading a team of analytics professionals in conducting analyses and making fact-based recommendations across the Retail Deposits and Day to Day Banking portfolios. The incumbent will deliver strategic and tactical knowledge to facilitate the execution of strategies that will enable profitable growth of Deposit customer base, increase customer engagement and optimize revenue margins for the business. He/She will work with multiple stakeholders and partners within and outside Scotiabank to develop optimal strategies based on excellent analytical, database marketing, people management, communication and relationship management skills.

                                                                -

                                                                -

                                                                Accountabilities:

                                                                -

                                                                -

                                                                Accountability 1 - Analysis & development support for acquisition and campaign strategies

                                                                -


                                                                • Collaborate with Retail Deposit and Day to Day banking team to profitably grow customer base. Proactively provide strategic analysis that will assist the business to optimize new & existing accounts and product mix from various channels. Grow day to day banking customer base within multiple segments of Scotiabank customers and enhance opportunity to acquire non-Scotiabank customers.
                                                                • Work closely with marketing team to develop analytical and segmentation strategies that enhance Deposit customer engagement initiatives while optimizing budgets as well as margins. Collaborate with Retail Marketing and Customer Decisioning teams to implement and fulfill campaigns while ensuring seamless customer experience.
                                                                • Lead the data science initiatives to optimize pricing and targeting strategies to drive acquisition & retention of chequing balances. This role works closely with Retail Deposit team, finance, treasury, channel partners to recommend pricing and targeting strategies to grow deposit portfolio.
                                                                • Evaluate new campaign ideas based on business opportunities and revenue growth; provide initial sizing and develop business case. Provide go/no go recommendation by examining overall P&L impact to the bank.
                                                                • Collaborate with Campaign Design, Products and Retail Marketing teams to support optimal acquisition and customer migration initiatives driven through centralized campaign execution engine.
                                                                • Work closely with segmentation/modeling experts within or outside Scotiabank to create new and effective ways of targeting customers in order to maximize efficiency of acquisition campaign strategies.
                                                                • Continuously acquire and enhance knowledge of business/product strategies, competitive practices, market insights and other policies, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
                                                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants.

                                                                -

                                                                -

                                                                Accountability 2 - Measurement & Reporting

                                                                -


                                                                • Lead the creation of ongoing measurement of acquisition/engagement campaign strategies relative to the pro-forma/plan. Provide actionable insights and recommendations to business stakeholders on an ongoing basis in order to maximize business results and enable the creation of an ongoing learning loop.
                                                                • Develop pro-forma for acquisition/engagement campaign initiatives working closely with multiple stakeholders at Scotiabank.
                                                                • Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams;
                                                                • Providing analytical support and profit insights on a regular and ad-hoc bases within Retail Canadian Banking with an eye towards driving business growth and profits
                                                                • Provide business support to all areas of Retail Deposits and Day to Day Banking including Business development, Product, Acquisition and Analytics. Work with Finance for business case development and to report results to Senior Management as well as provide outlook/projection

                                                                +
                                                                +

                                                                Enough about us, let’s talk about you

                                                                +

                                                                -


                                                                Accountability 3

                                                                -


                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                +

                                                                You are someone with:

                                                                +

                                                                • Excellent interpersonal relations and demonstrated ability to work with others effectively in teams while endorsing leadership role
                                                                • Attention to detail and commitment to deliver high-quality work products with impeccable verbal and written communication skills
                                                                • Agile delivery experience
                                                                • 2+ years implementation experience with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management
                                                                • 2+ years implementation experience with data governance technologies such as Collibra, Informatica EDC/AXON, Alation and/or IBM IGC
                                                                • Understanding of data architecture, data warehousing, data lake and cloud architectures
                                                                • Bachelor’s degree preferably in quantitative areas such as Computer Science or Information Management

                                                                -


                                                                Qualifications

                                                                -


                                                                • In-depth analytics experience and solid business acumen are required. Extensive marketing & campaign analytics and decision support experience is strongly preferred along with a comprehensive understanding of portfolio optimization and financial P&L levers.
                                                                • Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies.
                                                                • A proven ability to rapidly, effectively and accurately extract and interpret data and transform it into meaningful and actionable business insights.
                                                                • Exceptional oral and written communication skills, with a demonstrated ability to present and translate highly technical concepts to a wide audience.
                                                                • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests.
                                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                • Proven track record of success in maintaining, leading and motivating a productive team of analytics professionals.
                                                                • Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors that will contribute to successful growth initiatives.
                                                                Educational Requirements
                                                                • Minimum Bachelor's Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
                                                                • MBA (Finance or Marketing)/CFA/FRM or Master in Analytics - preferred

                                                                +

                                                                If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Why Deloitte?

                                                                +

                                                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                                                +
                                                                • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                                                • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                                                • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                                                • +
                                                                +


                                                                The next step is yours

                                                                +

                                                                Sound like The One Firm. For You?

                                                                +

                                                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                                                +

                                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T15:26:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/178100528-senior-manager-retail-deposit-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,expired,2022-12-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -5f761f79-e324-409f-bdae-6968d9896e17,176654372,CIBC,"Senior Data Scientist, Advanced Analytics & AI",on_site,"Ontario, Canada",2022-12-12T17:06:04.602Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                +

                                                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-Data-Governance-Specialist-Platform-Implementation%2C-Omnia-AI-ON/877148500/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-07-30T15:08:59.570Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/134678658-senior-consultant-data-governance-specialist-platform-implementation-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-Data-Governance-Specialist-Platform-Implementation%2C-Omnia-AI-ON/877148500/,expired,2022-06-30T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +0da53e0d-014d-4e06-b356-3518aeb42088,136005388,RBC,"Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-07-07T12:53:03.886Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Manager, Data Insight Analytics

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                +

                                                                Our team is the Digital Intelligence Group. We are here to help RBC build best-in-class digital products, optimize client experience, and drive business outcomes through improved use of analytics.

                                                                +

                                                                +

                                                                In this role of Manager, Data Insight Analytics, you will have the opportunity to apply analytics to the point of client interaction with the Digital Products of RBC. You will be responsible for supporting the end-to-end implementation of the analytics lifecycle: data collection, deep dive insight analytics, reporting and presentations.

                                                                +

                                                                +

                                                                You will work with Digital Channels and Products for personal and business clients including Mobile, Online Banking, Direct Investing, NOMI and RBC Rewards. You will structure and complete analyses, uncover insights, develop net new data assets, and build dashboards and model data that will enable data-driven decisions.

                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                +
                                                                  +
                                                                • BA/BSc or above in mathematics, economics, statistics, computer science or related quantitative field
                                                                • +
                                                                • 5+ years of experience in related digital product development, data analyst or data mining role
                                                                • +
                                                                • Intellectual curiosity and enthusiasm for advancing digital analytics and products
                                                                • +
                                                                • Advanced experience with Python or Scala and PowerPoint
                                                                • +
                                                                • Experience with Jupyter Notebooks, Google Analytics, Data Studio, Tableau or comparable data visualization tools
                                                                • +
                                                                • Hands-on knowledge of agile methodologies Github and JIRA
                                                                • +
                                                                • Structured thinking: developing an end-to-end analysis plans to tackle ambiguous and open-ended business problems
                                                                • +
                                                                • Stakeholder management skills: ability to inform and influence stakeholders through data, build relationships, communicate early and often
                                                                • +
                                                                • High agency: figuring out a way to get the job done, pushing through in the face of imperfect conditions or managing to reverse adverse conditions to achieve goals
                                                                • +
                                                                +

                                                                +

                                                                Nice-to-have

                                                                +
                                                                  +
                                                                • Strong understanding of AWS Big Data services such as Amazon S3, EMR and Glue
                                                                • +
                                                                • Knowledge in areas of data modeling, data orchestration and data pipeline
                                                                • +
                                                                +

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • +Insights and Analytics:
                                                                    +
                                                                  • Design, oversee and deliver analytics on client and prospect data sets to study demographics, behaviors, and business outcomes
                                                                  • +
                                                                  • Use data mining and a variety of analytical methods (descriptive, diagnostic and predictive) such as time series analysis, segmentation and hypothesis testing to find actionable insights
                                                                  • +
                                                                  • Based on evidence, make recommendations to leadership and stakeholders to support product development strategies and drive decisions
                                                                  • +
                                                                  • Help implement re-usable analytics frameworks for use across Digital data
                                                                  • +
                                                                  +
                                                                • +
                                                                • +Data Collection/ Ingestions/ Acquisition:
                                                                    +
                                                                  • Collaborate with data developers, DevOps, data engineers and cloud engineers to implement new data collection/ingestion/acquisition
                                                                  • +
                                                                  • Support business stakeholders in identifying needs for additional data acquisitions, and coordinate plans to orchestrate data acquisitions
                                                                  • +
                                                                  • Develop templates and systems for repeatable processes
                                                                  • +
                                                                  +
                                                                • +
                                                                • Digital Product Reporting and Presentations:
                                                                • +
                                                                +
                                                                  +
                                                                • Define, communicate and enforce reporting and analytics standards, policies and data governance
                                                                • +
                                                                • Deliver clear, concise and timely reports and presentations identifying trends, issues and opportunities
                                                                • +
                                                                • Construct presentations in story format and deliver them to partners across the organization
                                                                • +
                                                                +
                                                                • +Stakeholder Consultancy:
                                                                    +
                                                                  • Actively support relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems
                                                                  • +
                                                                  • Digest complex problems and organize into achievable milestones
                                                                  • +
                                                                  • Manage stakeholder expectations and keeps them up-to-date with progress on deliverables
                                                                  • +
                                                                  • Apply expertise and think creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine
                                                                  • +
                                                                  +
                                                                +

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +
                                                                  +
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • A world-class training program in financial services
                                                                • +
                                                                • Flexible work/life balance options
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Opportunities to take on progressively greater accountabilities
                                                                • +
                                                                • Opportunities to building close relationships with clients
                                                                • +
                                                                • Access to a variety of job opportunities across business and geographies
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-06-09-07:00

                                                                Application Deadline:

                                                                2022-07-30-07:00
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000016120/Manager-Data-Insight-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-08-01T12:58:07.365Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/136005388-manager-data-insight-analytics-at-rbc,,expired,2022-07-07T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +cb92be7f-ffb2-45e8-afcb-7d9bce963eac,138390019,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-07-20T23:05:03.882Z,"

                                                                Job Description

                                                                Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                                                +

                                                                Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                                                +

                                                                In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                                                +

                                                                An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                                                +

                                                                Experience in large data and platform modernizations/reengineering/migrations desirable.

                                                                +

                                                                Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                                                +

                                                                Excellent written and spoken communications skills in English and/or French.

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                + +


                                                                +

                                                                Qualifications

                                                                Qualifications
                                                                8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                                                3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                                                Experience developing or migrating Spark workloads
                                                                Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                                                Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                                                Strong written communication skills. Is effective and persuasive in both written and oral communication
                                                                Secret Security clearance Eligibility desirable.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement

                                                                +

                                                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                                +

                                                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                                +

                                                                Requesting An Accommodation

                                                                +

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                +

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                                +

                                                                Other Employment Statements

                                                                +

                                                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                                +

                                                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-08-02T01:59:02.763Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/138390019-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-07-20T23:05:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +b443690b-b44c-463f-bef1-a2b2deac7273,137048719,Accenture,Data Science Senior Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-07-13T22:46:06.342Z,"

                                                                Job Description

                                                                +

                                                                We Are
                                                                The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                                                                +

                                                                +

                                                                You Are
                                                                An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                                                                +

                                                                +

                                                                What You’ll Do
                                                                • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                                                                • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                                                                • Lead multiple teams and engagements to engineer & deliver value for clients
                                                                • Play an active role building a practice including capability development, recruitment, and mentorship
                                                                • Help drive the innovation agenda, including thought leadership publication
                                                                • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI



                                                                Qualifications

                                                                +

                                                                What We’re Looking For
                                                                • Extensive experience engaging with client senior leadership on complex business problems
                                                                • Expertise developing solution offerings and communicating findings to executive audiences
                                                                • Well versed with managing data science teams and engagements, and providing technical leadership
                                                                • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                                                                • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                                                                +

                                                                English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

                                                                +

                                                                +

                                                                Bonus Point If
                                                                • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                                                • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                                                • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                                                                • A blend of data science capability, industry and consulting expertise
                                                                • High initiative and a desire/ability to persist through obstacles/ambiguity
                                                                • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas

                                                                +

                                                                Locations

                                                                Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal

                                                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                                                +
                                                                +

                                                                Equal Employment Opportunity Statement

                                                                +

                                                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                                                +

                                                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                                                +

                                                                Requesting An Accommodation

                                                                +

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                +

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                                                +

                                                                Other Employment Statements

                                                                +

                                                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                                                +

                                                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-08-02T01:59:02.763Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/137048719-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,expired,2022-07-13T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, +491b8590-2f0e-486a-91c1-516a3369c015,137840214,Sun Life Financial,Senior Data Science Engineer,on_site,"Ontario, Canada",2022-07-18T07:26:02.638Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Job Description

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                The Advanced Analytics & AI team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                                -

                                                                You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                -

                                                                How You’ll Succeed

                                                                +

                                                                Job Description:

                                                                +

                                                                +

                                                                Role Summary

                                                                +

                                                                +

                                                                As a Senior Data Science Engineer, and a member of the Data and Analytics, Data and Engineering Operations team, you will utilize your knowledge in the data science stream to partner with internal and external clients to ensure the technology and process solutions delivered/supported meet their needs. This team thrives on challenges; we learn from each other and provide a rich environment where people can grow their skills. We strive to hire only the best, so you will be working with bright people in a dynamic and highly collaborative work environment.

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.

                                                                • -
                                                                • Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.

                                                                • -
                                                                • Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.

                                                                • +
                                                                • Design, develop and drive innovative Data and Analytics thinking, including Predictive Modelling, and Data Science application development

                                                                • +
                                                                • Implement innovative products which improve the analytics landscape

                                                                • +
                                                                • Design, develop, test, deploy and support workloads on AWS SageMaker models. In this role you can learn AWS Sagemaker if you have experience with other comparable cloud environment tools.

                                                                • +
                                                                • Develop automation code and provide fixes and improvements using Python/R

                                                                • +
                                                                • Review existing data science model code to identify areas for improvement, present findings to data scientists, and help to execute the recommendations

                                                                • +
                                                                • Prepare data from various internal sources for ingestion into the AWS SageMaker environment

                                                                • +
                                                                • Develop and support customized interactive Tableau dashboards for internal business partners. In this role you can learn Tableau by leveraging your current experience with other similar tools.

                                                                • +
                                                                • Deliver training materials and documentation that lay out processes for using various analytics toolsets

                                                                • +
                                                                • Work directly with a wide audience to structure analytical problems and approaches, and provide ongoing support, communication, and prompt resolution for data science products

                                                                • +
                                                                • Participate in provisioning and management of cloud-based enterprise Data and Analytics tools

                                                                • +
                                                                • Maintain current knowledge on Quantitative Analysis, Machine Learning and Analytics tools and techniques

                                                                -

                                                                Who You Are

                                                                +

                                                                What do you need to succeed?

                                                                  -
                                                                • You have an advanced degree in a scientific or quantitative field

                                                                • -
                                                                • You have minimum of 3 year experience in industry or research

                                                                • -
                                                                • You enjoy the challenge of leading engagements and coaching junior team members

                                                                • -
                                                                • You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.

                                                                • -
                                                                • You have strong communication skills and an ability to present complex concepts clearly.

                                                                • -
                                                                • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                                • -
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • -
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • +
                                                                • Post-Secondary degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another related field

                                                                • +
                                                                • Minimum of 3 years experience in using Python/R

                                                                • +
                                                                • At least 1 Year experience with containerization (Docker)

                                                                • +
                                                                • 2 years experience deploying Machine Learning model in a production environment

                                                                • +
                                                                • Experience working with code version control through git

                                                                • +
                                                                • Demonstrated quantitative, analytical, problem-solving, conceptual thinking skills, and data transformation and manipulation experience

                                                                • -

                                                                  You have extensive knowledge of:

                                                                  +

                                                                  Deep understanding of the following:

                                                                    -
                                                                  • Programming in Python

                                                                  • -
                                                                  • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)

                                                                  • -
                                                                  • Writing queries in SQL and working with data warehouses

                                                                  • -
                                                                  • ML/AI Frameworks (Tensorflow, Pytorch)

                                                                  • -
                                                                  • Knowledge of NLP and associated toolkits (nltk, spaCy)

                                                                  • -
                                                                  • Software development and testing

                                                                  • -
                                                                  • Also beneficial:

                                                                  • -
                                                                  • Knowledge of data visualization tools such as Tableau

                                                                  • -
                                                                  • Understanding of Docker and Kubernetes

                                                                  • -
                                                                  • Exposure to big data frameworks (PySpark, SparkML)

                                                                  • -
                                                                  • Exposure Microsoft Azure cloud platform

                                                                  • +
                                                                  • Machine Learning (ML) techniques, and comprehension of existing algorithms and ML lifecycle components

                                                                  • +
                                                                  • Statistics, linear algebra, probability theory

                                                                  • +
                                                                  • Computer science fundamentals

                                                                • +
                                                                • Excellent verbal and written communication skills

                                                                • +
                                                                • Strong organizational and time management skills​

                                                                -

                                                                What CIBC Offers

                                                                -

                                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                                                                • -
                                                                • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                                                                • -
                                                                • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                                                                • -
                                                                • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                                • +
                                                                • Experience and/or training in Cloud platforms like AWS, MS Azure, and Google Cloud Platform

                                                                • +
                                                                • Experience writing SQL queries to analyze data and gather valuable insights

                                                                • +
                                                                • Understanding of agile teams and patterns

                                                                • +
                                                                • Strong understanding of agile teams (Scrum, Kanban etc.)

                                                                • +
                                                                • Working experience with Confluence and Jira

                                                                • +
                                                                • Experience with relational databases and data modeling techniques

                                                                -

                                                                What you need to know

                                                                +

                                                                Unique Requirements

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                +

                                                                What\'s in it for you?

                                                                +
                                                                  +
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • +
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • +
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • A friendly, collaborative, and inclusive culture

                                                                • +
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • +
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • +
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • +

                                                                -

                                                                -

                                                                Job Location

                                                                81 Bay Street, 1st Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Advanced Analytics, Business Insights, Data Analysis, Data Science
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Advanced-Analytics---AI_2242794-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-19T15:23:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/176654372-senior-data-scientist-advanced-analytics-ai-at-cibc,,expired,2022-12-12T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Post-Graduate Diploma,New Posting, -450e6a30-eec7-4470-9b6b-b411cbf7cb67,172489051,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-01T17:24:03.148Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                                                                As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                                                                -

                                                                This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:
                                                                • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                                                                • Evaluate ML model development procedures and processes for model compliance risks (e.g., unfairness)
                                                                • Support the development of technical standards and guidelines covering model risk matters, and draft key Compliance documents in appropriate coordination with stakeholders
                                                                • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                                                                • Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                                                                o Supporting compliance risk management associated with models used by TD;
                                                                o Supporting the business in identifying models whose outcomes impact customers or communities;
                                                                o Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                                                                o Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                                                                • Partner with Legal, Privacy, Model Validation and other Compliance Units (e.g., TDI Compliance, and TDS Compliance)
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model or tool

                                                                -

                                                                The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                                                                -

                                                                TEAM DESCRIPTION

                                                                -

                                                                The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:
                                                                • Assessing models for regulatory compliance and conduct risk;
                                                                • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                                                                • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.

                                                                -

                                                                COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                                                                -
                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                Requirements

                                                                -
                                                                • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                                                                • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                                                                • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership on same
                                                                • The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives
                                                                • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                                                                • Excellent verbal and written communication skills
                                                                • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                                                                • Work effectively as a team to peer review other team member model reviews and share knowledge
                                                                • Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model and tool compliance risks
                                                                • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                                                                • Quick learner who constantly works on improving skills and expertise.
                                                                • Good time management and multitasking skills with minimal supervision.

                                                                -

                                                                EXPERIENCE & EDUCATION:
                                                                • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                                                                • Relevant experience with the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                                                                • Demonstrated engagement with the issues of explainability and/or fairness in the context of advanced analytics and machine learning

                                                                -
                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-19T15:22:00.000Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/172489051-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1f35a6a4-55b6-4bd6-9c1b-eb1358e93bc5,175020135,Scotiabank,"Manager, Financial Reporting (Data Analytics)",on_site,Canada : Ontario : Toronto,2022-12-08T17:22:03.286Z,"

                                                                +

                                                                Salary Range:

                                                                74,900/74 900 - 125,900/125 900

                                                                +

                                                                Job Category:

                                                                IT - Technology Services

                                                                +

                                                                Posting End Date:

                                                                01/08/2022
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Senior-Support-Engineer--Analytics_JR00062556?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-02T16:38:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/137840214-senior-data-science-engineer-at-sun-life-financial,,expired,2022-07-18T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0005ba58-bd57-4f42-a9e4-28018100ac54,135438664,Google,"Student Researcher, MS, 2022",on_site,"Toronto, ON, Canada",2022-07-04T17:11:11.301Z,"
                                                                +2022-04-12T14:02:33.135Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Student Researcher, MS, 2022

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Toronto, ON, Canada +
                                                                • +
                                                                • + 1 more location
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                +

                                                                NOTE: This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2023, depending on their program and unique circumstances. If you are graduating before December 2023, we encourage you to apply to the Research Internship opening.

                                                                +

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Waterloo, ON, Canada.

                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
                                                                • +
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar).
                                                                • +
                                                                +

                                                                Preferred qualifications:

                                                                +
                                                                  +
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • +
                                                                • Currently attending a degree program in Canada.
                                                                • +
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • +
                                                                • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
                                                                • +
                                                                • Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB, Go, Python, or similar.
                                                                • +
                                                                • Ability to speak and write in English fluently.
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for flexibility beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                +

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                +
                                                                +

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/106578402124669638-student-researcher-ms-2022/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-08-03T18:52:10.290Z,False,0,17,199,https://talenthub.vectorinstitute.ai/jobs/135438664-student-researcher-ms-2022-at-google,,expired,2022-07-04T17:11:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +450f6193-fc2d-4944-93f8-71745ae23503,146726206,League,Data Analyst - Remote,full,US / Canada - Remote,2022-08-28T05:07:04.102Z,"
                                                                +
                                                                Help Us Shape the Future of Healthcare
                                                                +
                                                                +
                                                                At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                                                +

                                                                As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                                                +

                                                                People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                                +

                                                                Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                                +


                                                                In this role, you will:

                                                                +
                                                                  +
                                                                • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                                                • +
                                                                • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                                                • +
                                                                • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                                                • +
                                                                • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                                                • +
                                                                • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                                                • +
                                                                +


                                                                Attributes

                                                                +
                                                                  +
                                                                • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                                • +
                                                                • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                                • +
                                                                • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                                • +
                                                                • You drive to learn and master new technologies and techniques.
                                                                • +
                                                                • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                                • +
                                                                • You are eager to learn from others and help others grow with you.
                                                                • +
                                                                +



                                                                Desired Outcome

                                                                +
                                                                  +
                                                                • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                                                • +
                                                                • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                                                • +
                                                                +


                                                                Required Education/Experience/Certificates

                                                                +
                                                                  +
                                                                • Strong SQL skills and experience working with a modern ETL framework
                                                                • +
                                                                • Experience working as a data analyst or data scientist
                                                                • +
                                                                • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                                • +
                                                                +



                                                                Nice To Have Experience

                                                                +
                                                                  +
                                                                • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                                • +
                                                                • Healthcare industry experience
                                                                • +
                                                                +
                                                                +At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                +
                                                                +
                                                                Our Application Process:
                                                                +
                                                                +
                                                                Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                                                +
                                                                  +
                                                                • You should receive a confirmation email after submitting your application.
                                                                • +
                                                                • A recruiter (not a computer) reviews all applications at League.
                                                                • +
                                                                • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                                • +
                                                                • Before extending offers, we conduct reference and background checks.
                                                                • +
                                                                • For US Candidates, due to League's professional engagements with major healthcare organizations, additional checks could be required, depending on the role you are exploring.
                                                                • +
                                                                • The final step is an offer, which we hope you will accept!
                                                                • +
                                                                +
                                                                +
                                                                Here are some additional resources to learn more about League:
                                                                + + + + +
                                                                +

                                                                Recognize and Avoid Employment scams. Practice safe job searching.

                                                                +Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +
                                                                +
                                                                +
                                                                Privacy Policy
                                                                +
                                                                Review our Privacy Policy for information on how League is protecting personal data.
                                                                +
                                                                +
                                                                ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-09-28T15:19:00.033Z,False,0,16,84,https://talenthub.vectorinstitute.ai/jobs/146726206-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-08-28T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, +568ba209-4290-4160-9019-2521901c7fec,146651104,Bell Canada,ON - 2023 Field Services Graduate Leadership Program - Business Intelligence Stream,on_site,"Toronto, Ontario",2022-08-27T18:26:13.759Z,"

                                                                Req Id: 391232

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                                +

                                                                Big data is a big deal:

                                                                -

                                                                Requisition ID: 166893

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                The Field Services Business Intelligence team resides within Field Services and is responsible for developing, maintaining and using data to drive insights to improve the customer experience and field technician’s productivity.

                                                                -

                                                                Purpose of Job:

                                                                +

                                                                With nearly limitless sources of data at our fingertips, the team sources, maintains and analyzes data on network, product & operational performance. They build metrics, dashboards tools & models to optimize resource utilization across a workforce of nearly 10,000 people, and delivers a performance management system that achieves best in class quality and services from our technicians.

                                                                -

                                                                The Manager, Financial Reporting, will assist in the analysis, monitoring and reporting of Retail Credit Risk, Small Business & Wealth Management portfolios including monthly, quarterly and annual reporting for Scotiabank's senior management, investors and regulators.

                                                                +

                                                                The team’s findings help prioritize key technology investments and ensures major strategic decisions are always data driven. We collaborate closely with other business units and groups within the company to support our field frontline and support teams with impactful insights that help us continue to transform the business.

                                                                -

                                                                Job Responsibilities:

                                                                +

                                                                How the program works:

                                                                +

                                                                This is a two-year graduate leadership program where you will have the opportunity to work on projects and improve your skills in data analytics, dashboard development, data engineering and machine learning.

                                                                -
                                                                • Assist in the preparation of Global Retail Credit Risk monthly, quarterly and annual portfolio reporting for Bank Executives and external stakeholders:
                                                                • Development, analysis and maintenance of key senior management reports including data management, presentation, documentation, quality assurance and operational production effectiveness
                                                                • Provide prompt and sound analysis of performance of the Retail, Small Business and Wealth Management portfolios to support management decisions
                                                                • Participate in the identification, assessment and monitoring of credit risk trends and communicate adherence to authorized risk tolerance parameters
                                                                • Extract, review, and analyze data from Enterprise General Ledger, Enterprise Date Lake & other various sources to address Global Retail Credit Risk ad-hoc reporting needs and projects
                                                                • Prepare quarterly regulatory reporting and financial note disclosure:
                                                                • Interact with the Canadian & International Retail Risk groups, Finance, Audit and other Bank departments to ensure information provided is accurate and reliable
                                                                • Prepare reconciliations and analysis of Retail Risk and financial information to ensure that the data discrepancies are properly known and identified.
                                                                • Assist in developing enhancements for reporting and data aggregation by:
                                                                • Following and keeping up-to-date with regulatory requirements, End User Computing guidelines, RDARR principles and other data-related requirements
                                                                • Improving the reporting methodology, modifying requirements per regulator guidance, identifying streamlining opportunities and redesigning as appropriate
                                                                • Provide key support and technical expertise in data management and validations, report automation and trend analysis; Work with technology teams to identify issues and implement solutions.
                                                                • -
                                                                +

                                                                Upon completing 12 months in Business Intelligence, you will have the option to “go and see” a frontline area of Field Services for 4 to 6 months to gain leadership experience and knowledge of that area to apply in your BI role.

                                                                -

                                                                Job Requirements:

                                                                +

                                                                Upon graduation from the program, you will continue working in the Field Services Business Intelligence team.

                                                                -
                                                                • University degree in business (finance or accounting) or a quantitative field (mathematics or statistics).
                                                                • A minimum of 5 years progressive experience and functional competencies in development, analytics and delivery of senior management reporting including monthly, quarterly reporting; experience in Retail Banking, Retail Credit Risk and financial / quantitative methodologies.
                                                                • To be successful in the position, the incumbent must have the following competencies:
                                                                  • Must have knowledge and experience in SAS, SQL and VBA.
                                                                  • Knowledge of current industry trends, regulatory requirements and industry best practices
                                                                  • Familiar with the Bank's General Ledger and / or has experience with preparing financial note disclosures
                                                                  • High level of proficiency in using MS Office suite of applications (MS Word, MS Excel, MS Access, MS PowerPoint)
                                                                  • Ability to analyze raw data; strong ability to understand and write business requirements.
                                                                  • Sound project and time management skills; strong organizational and prioritization skills; strong communication skills, both verbal and written; a highly proactive attitude, and use of initiative and independent judgment
                                                                  • Experience with Power BI or Tableau and open source programming like SQL, R or Python are considered an asset.
                                                                • +

                                                                  During the program, you can count on:

                                                                  +

                                                                  +
                                                                    +
                                                                  • A proven training program: including extensive hands-on, classroom training and development.
                                                                  • +
                                                                  • A huge support system: Executive mentor, Grad Buddy, and Grad Alumni with whom you can connect, share, learn and have fun!
                                                                  • +
                                                                  • A supportive Executive Team with whom you will network
                                                                  • +
                                                                  • Many learning opportunities to help you excel in your role

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/175020135-manager-financial-reporting-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,expired,2022-12-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0927fcff-d82a-4981-9b00-1f10480a67a4,177790850,Scotiabank,Velocity - Business Analyst Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:03.289Z,"

                                                                +

                                                                Keep reading if:

                                                                +
                                                                  +
                                                                • You are passionate about performing in-depth analysis, developing insight tools & developing analytical models
                                                                • +
                                                                • You have an aptitude to create business impacts using data-driven approach
                                                                • +
                                                                • You are interested in operations and enabling team members to have faster and more insightful access to the drivers of their operations
                                                                • +
                                                                • You have a strong sense of curiosity and are energized by solving complex puzzles
                                                                • +
                                                                • You're a fast learner and want to develop and apply your analytical, project management skills and leadership skills, working with new, cutting-edge BI technologies
                                                                • +

                                                                +

                                                                Click on the apply button if:

                                                                +
                                                                  +
                                                                • You are currently completing a Bachelor’s degree in Engineering, Computer Science, Business, Operations Research, Physics, Mathematics or related field, graduating by August 2023 or you have graduated no earlier than 2021.
                                                                • +
                                                                • Or, you are currently completing a Master’s degree in Engineering, Computer Science, Business, Operations Research, Physics, Mathematics or related field, graduating by August 2023, and have a maximum of 1 year between completing your Bachelor’s degree and enrolling in your Master’s program.
                                                                • +
                                                                +
                                                                  +
                                                                • You are highly analytical with a good understanding of the basic principles of working with large and complex data sets.
                                                                • +
                                                                • You have strong problem solving skills and a curiosity to understand “how things work”.
                                                                • +
                                                                • You have demonstrated leadership qualities in co-curricular activities.
                                                                • +
                                                                • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations.
                                                                • +
                                                                • You demonstrate initiative, leadership, and a passion for learning new skills.
                                                                • +
                                                                • You have strong work ethic and persistence in the face of challenges and opportunities.
                                                                • +
                                                                • You are a curious, quick learner, and have the ability to manage multiple projects and priorities.
                                                                • +
                                                                • You have excellent interpersonal and communication skills.
                                                                • +

                                                                -

                                                                Requisition ID: 169371

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Nice to have competencies:

                                                                -

                                                                Term: May-August 2023
                                                                Application Deadline: 12/31/2022

                                                                +
                                                                  +
                                                                • Experience with query development using SQL.
                                                                • +
                                                                • Experience in Python or other programming languages.
                                                                • +
                                                                • Experience with various databases systems such as Hadoop, Microsoft SQL Server, Teradata, SAS, and Oracle.
                                                                • +
                                                                • Dimensional modeling experience (fact tables, conformed dimensions, etc.).
                                                                • +
                                                                • Experience in reporting and data visualization tools such as Microstrategy, Tableau, and Python Dash.
                                                                • +
                                                                • Experience in large data sets and machine learning techniques.
                                                                • +
                                                                +

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status:
                                                                Grad Hire
                                                                Position Level:
                                                                CP2
                                                                Job Location:
                                                                Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Contact Name:
                                                                Application Deadline:
                                                                10/31/2022

                                                                +

                                                                +

                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                +

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -
                                                                • Work with a team of highly-motivated, technical generalists and bankers to deliver clean and effective solutions
                                                                • Identify and analyze business and technical requirements to create diagrams, flow charts, and documentation
                                                                • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                • Make impact by constantly improving, identifying and implementing process
                                                                • -
                                                                -
                                                                • Experiment & learn!
                                                                • +

                                                                  Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                                                  +

                                                                  Created: Canada, ON, Toronto

                                                                  ",,https://jobs.bell.ca/ca/en/job/BECACA391232EXTERNALENCA/ON-2023-Field-Services-Graduate-Leadership-Program-Business-Intelligence-Stream?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-09-28T14:07:00.000Z,False,0,11,47,https://talenthub.vectorinstitute.ai/jobs/146651104-on-2023-field-services-graduate-leadership-program-business-intelligence-stream-at-bell-canada,BECACA391232EXTERNALENCA,expired,2022-08-27T18:26:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,Masters Degree,New Posting, +51433a72-156c-4bc8-934c-dafb8dc380d4,149267515,CN,Data Science Specialist,on_site,"Ontario, Canada",2022-09-08T07:35:03.822Z,"
                                                                  +

                                                                  +

                                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                  Job Summary

                                                                  The role of Data Science Specialist is to ensure successful deployment of advanced infrastructure, telecom, machine learning, Industrial IoT, software development, application, and technology solutions, systems and services. The specialist ensures that all business requirements are met by team members and projects, and contributes to the global evolution of CN’s I&T.

                                                                  Clients can be from within CN’s I&T team or direct lines of business. The specialist must build a full-time automated service between systems in the cloud for the positive train control with the machine learning and AI. Be part of the system architecture for infrastructure as a code and Work CICD tool with azure DevOPS. Be part of the technology exploration service to build the evolution of the existing services. Develop and maintain a virtualized and containerized infrastructure. Building test code, new design and optimisation monitoring tool. Be part of the DevOPS team and lead after action review for operation support.

                                                                  Main Responsibilities

                                                                  · Full stack development of AI Feature and application in various area.

                                                                  · Identify Models to be used and improve model accuracy

                                                                  · Participate in the product definition, especially around the aspect of AI, machine learning, to translate complex business requirement into concrete technical solution.

                                                                  · Create new optimisation for Infra monitoring with integration with third party or internal script(s).

                                                                  · Develop new way to get information from the application to get more data for the monitoring

                                                                  · Use the data in the log management for pattern recognition

                                                                  · Develop cloud design pattern for availability, data management, design and implementation, management and monitoring.

                                                                  · Build the structure for process and documentation

                                                                  · Be able to build solution with the Azure, Google cloud platform and DevOps marketplace.

                                                                  · Evolve and build best practice materials

                                                                  · Enable development teams to leverage cloud-native architectures with new and existing applications.

                                                                  · Build workshops and labs about cloud technologies, cloud operations, containers, orchestrators and microservices.

                                                                  · Be the technical leader for the system integration dev ops

                                                                  Requirements

                                                                  · Minimum of 5 years of experience.

                                                                  · Computer Science or Engineering degree

                                                                  · Strong knowledge in cloud computing (Azure, AWS, Google Cloud, DataBricks)

                                                                  · Strong familiarity with CNN for objects detection, segmentation and classification.

                                                                  · Strong Familiarity with machine learning application to time series analysis.

                                                                  · Experience with Tensorflow, Keras, Spark, Opencv, Pytorch, etc

                                                                  · Strong Knowledge in machine learning or AI feature and application in the SaaS software

                                                                  · Experience with Natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar

                                                                  · Strong knowledge of CI/CD tools (Jenkins, Gitlab CI, Github Actions, etc)

                                                                  · In-depth experience gathering and interpreting business requirements to design and create scalable data science solutions

                                                                  · Familiarity with SQL, Hadoop, Hive, Spark Databases

                                                                  · Familiarity with MLFlow and pipeline monitoring

                                                                  · Experience working in Agile environments

                                                                  · Experience working with Big Data Analytics

                                                                  · Strong knowledge about coding in Python, Java.

                                                                  · Strong knowledge how to monitor application and infrastructure

                                                                  · Knowledge in logs management, application monitoring, infrastructure monitoring

                                                                  · Knowledge of monitoring and logging for containers and orchestrators.

                                                                  · Familiar with ISO30162 and IoT

                                                                  Assets

                                                                  • Master or Ph.D in Computer Science, AI, machine learning or related technical field.
                                                                  • Strong knowledge in cloud computing (Azure, Google)

                                                                  · Knowledge of networking, security and protocol

                                                                  · PTC and Rail industry experience

                                                                  · IoT experience

                                                                  · MLOps Experience

                                                                  · Great Communication skills

                                                                  · Out of the box thinker

                                                                  · Devops Certification

                                                                  · Azure certification (developing solution)

                                                                  · Google certification

                                                                  About CN

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  +

                                                                  +

                                                                  +

                                                                  CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8852?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-09-29T15:13:00.000Z,False,0,10,63,https://talenthub.vectorinstitute.ai/jobs/149267515-data-science-specialist-at-cn,,expired,2022-09-08T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Senior Level,PhD,New Posting, +c2a73969-9367-4bb4-a84e-1d413902110c,147151906,Vector Institute (Internal Opportunities Only),AI for Clinical Champions Certificate Program - Teaching Assistant (TA),full,Anywhere,2022-08-30T18:54:04.868Z,"

                                                                  Please note this position will not be formally contracted until the enrollment is finalized and the course is confirmed as running. Confirmation is expected on or before October 6, 2022. The course will run dependent on the number of participant registrations.

                                                                  +

                                                                  We are advertising for this role in advance of October 6, 2022, so we are able to move quickly on formally staffing and developing the course once confirmed. Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                                                                  +

                                                                  STATEMENT OF WORK: AI for Clinical Champions Certificate Program - TA (with Office Hours)

                                                                  +

                                                                  Clinical Champions Program Dates: October 20, 2022 – December 8, 2022 (class sessions)

                                                                  +

                                                                  Location: This course will be delivered online via Blackboard

                                                                  +

                                                                  Lectures and Tutorials: Delivery, development and weekly office hours (TBD)

                                                                  +

                                                                  Instructors: TBD

                                                                  +

                                                                  Overview

                                                                  +

                                                                  AI for Clinical Champions Certificate Program is an online learning program. This immersive and interactive program is facilitated in partnership between the Vector Institute and the Michener Institute for Education and is designed to enable practicing clinicians to confidently participate in conversations about AI and engage in the implementation of AI applications.

                                                                  +

                                                                  During this course, clinicians will apply the program learnings to their practice and present these to instructors and stakeholders from Vector and Michener in the final week. For this presentation, clinicians will work on a capstone project of their choosing based on their own business context to maximize value.

                                                                  +

                                                                  The program will include approximately 60 participants and will cover content including fundamentals of AI, best practices, ethical considerations, mapping AI to clinical processes, change management strategies, and cases for clinical and business contexts.

                                                                  +

                                                                  TA Tasks and Responsibilities

                                                                  +

                                                                  Development

                                                                  +
                                                                    +
                                                                  • Prepare assignments with direction from the course instructor(s) in advance of the course start date
                                                                  • +
                                                                  • Prepare lecture content for 2-hour lectures with direction from the course instructor(s) in advance of the course start date
                                                                  • +
                                                                  • Participate in course development meetings and engage with course development discussions on Slack
                                                                  • +
                                                                  • Curate recommended readings or supplementary materials to support the assignments
                                                                  • +
                                                                  • Ensure that all course materials are submitted (including lecture slides, lecture notes, syllabus, code, scripts, videos, etc.) and make sure all materials are available in the Learning Management System (LMS) – currently Blackboard
                                                                  -

                                                                  -

                                                                  -

                                                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                  -
                                                                  • You are currently enrolled in post-secondary education.
                                                                  • +

                                                                    Delivery

                                                                    +
                                                                      +
                                                                    • Support the Lead Instructor with co-facilitating classes
                                                                    • +
                                                                    • Deliver and mark assignments with direction from the lead instructor
                                                                    • +
                                                                    • Mark assignments related to tutorials delivered, and enter grades to the Learning Management System (LMS), currently Blackboard
                                                                    • +
                                                                    • Curate recommended readings or supplementary materials to support assignments
                                                                    • +
                                                                    • Provide assistance to course participants following each tutorial and throughout the course
                                                                    -
                                                                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                    • You have knowledge/experience in:
                                                                    • +

                                                                      Coaching

                                                                      +
                                                                        +
                                                                      • Schedule regular office hours (TBD) in order to support course participants, and work through course assignments
                                                                      • +
                                                                      • Anticipate and be prepared to respond to assignment questions from learners
                                                                      -
                                                                      • Drawing conclusions and provide actionable insights to encourage data –driven decision making
                                                                      • Managing a project, and ensuring deliverables are made
                                                                      • +

                                                                        Fees

                                                                        +
                                                                          +
                                                                        • $1,750 flat fee for development, delivery, marking, TA office hours and administration
                                                                        • +
                                                                        • TAs must submit invoices at the end of the course. All fees are payable at the end of the course ~08 December 2022, upon completion of all contractual responsibilities.
                                                                        -
                                                                        • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                                                        • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                                                                        • +

                                                                          Course Schedule

                                                                          +

                                                                          Schedule TBA. The day and time of tutorial office hours and lectures will be determined by availability of instructors and TAs but will be consistent throughout the course.

                                                                          +

                                                                          Course Outline

                                                                          +

                                                                          Course Schedule

                                                                          +

                                                                          Prior to course commencement, touchpoints include:

                                                                          +
                                                                            +
                                                                          • Team kick-off/ curriculum development meeting
                                                                          • +
                                                                          • Team progress meeting
                                                                          • +
                                                                          • Team LMS upload and testing meeting
                                                                          • +
                                                                          • Course launch meeting
                                                                          -

                                                                          -

                                                                          What’s in it for you?

                                                                          -
                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • +

                                                                            These meetings will accommodate schedules as much as possible.

                                                                            +

                                                                            All course units will be released online according to the schedule below and supplemented office hours and tutorials. Weekly topics may vary as agreed by the Instructor and the Vector/ Michener team.

                                                                            +

                                                                            Lessons

                                                                            +
                                                                              +
                                                                            • Weekly Lessons: Thursdays 4:00 pm – 6:00 pm EST
                                                                            • +
                                                                            • TA Office Hours: TBA
                                                                            -
                                                                            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                            • +

                                                                              Week 1: October 20, 2022

                                                                              +
                                                                                +
                                                                              • Fundamentals of AI
                                                                              • +
                                                                              • Application of AI
                                                                              • +
                                                                              • Beliefs about how AI will affect future
                                                                              • +
                                                                              • Attitudes in adopting AI
                                                                              -

                                                                              -

                                                                              -

                                                                              How do I apply?

                                                                              -

                                                                              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                              -

                                                                              -
                                                                              1. Complete your PLUM Profile here and save as a screenshot.
                                                                              2. Complete a short one-way video interview here.
                                                                              3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                              4. -
                                                                              -

                                                                              -

                                                                              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                              -

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/177790850-velocity-business-analyst-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, -0dfa24d6-0eb1-4820-a3dc-82d5b2267224,37638629,Darwin AI,Full-Stack Developer ☑️,on_site,"Toronto, ON, Canada",2020-08-05T13:29:33.650Z,"

                                                                WHO WE ARE LOOKING FOR

                                                                -

                                                                -

                                                                Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                                -

                                                                -

                                                                REQUIREMENTS

                                                                -

                                                                -

                                                                Our ideal candidate possesses:

                                                                Must-have

                                                                +

                                                                Week 2: October 27, 2022

                                                                  -
                                                                • Min 3 years of web development experience.
                                                                • -
                                                                • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                                • -
                                                                • Must have worked with reactive development.
                                                                • +
                                                                • Fundamentals of healthcare data science
                                                                • +
                                                                • Fundamentals of biomedical informatics
                                                                • +
                                                                • Fundamentals of AI
                                                                • +
                                                                • Ethical considerations
                                                                • +
                                                                • Trust and transparency
                                                                -


                                                                Preferable:

                                                                +

                                                                Week 3: November 3, 2022

                                                                  -
                                                                • SQL
                                                                • -
                                                                • Data Visualization frameworks like D3, C3 etc
                                                                • -
                                                                • Basic knowledge of AWS
                                                                • -
                                                                • Agile development methodology TEST.
                                                                • -
                                                                ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-09-04T13:29:00.000Z,False,0,0,49,https://talenthub.vectorinstitute.ai/jobs/37638629-full-stack-developer-at-darwin-ai,,expired,2020-08-05T13:29:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -09687f2d-8297-4510-bc0b-ab214747262e,178993304,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2022-12-19T17:24:02.800Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role

                                                                -

                                                                As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                -

                                                                Must-Have

                                                                +
                                                              • Application of AI
                                                              • +
                                                              • Strengths and limitations of AI
                                                              • +
                                                              • Critical appraisal
                                                              • +
                                                              • Ethical considerations
                                                              • +
                                                              • Trust and transparency
                                                              • + +

                                                                Week 4: November 10, 2022

                                                                  -
                                                                • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                • -
                                                                • Experience with building and scaling data-intensive software in Python
                                                                • -
                                                                • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                • -
                                                                • Experience building and manage a machine learning data pipeline
                                                                • -
                                                                • You value good software design and sweat over details in code and API design
                                                                • -
                                                                • You enjoy learning new technology and educating others
                                                                • -
                                                                • You strive to communicate clearly and with empathy
                                                                • -
                                                                • You take great personal pride in building robust and scalable software
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • +
                                                                • Data visualization
                                                                • +
                                                                • Medical decision making
                                                                • +
                                                                • Ethical considerations & trust and transparency
                                                                • +
                                                                • Communicating with patients & compassion and empathy
                                                                -

                                                                Nice to have:

                                                                +

                                                                Week 5: November 17, 2022

                                                                  -
                                                                • Experience building a library or a framework
                                                                • -
                                                                • Knowledge of machine learning algorithms
                                                                • -
                                                                • Experience with Azure cloud stack
                                                                • -
                                                                • Data analytics
                                                                • -
                                                                • Knowledge with C++
                                                                • -
                                                                • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                • +
                                                                • Implementation of AI in healthcare settings
                                                                • +
                                                                • Multidisciplinary collaboration
                                                                • +
                                                                • Change management
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Week 6: November 24, 2022

                                                                  -
                                                                • University or post-graduate degree
                                                                • -
                                                                • Strong academic background (e.g., computer science, engineering)
                                                                • -
                                                                • 2+ years relevant experience
                                                                • +
                                                                • Review highlights of what was covered in the program
                                                                • +
                                                                • Review of capstone project and answer questions
                                                                • +
                                                                • Answer any remaining questions
                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid #datascientist
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:08.499Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/178993304-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-11-21T17:42:06.898Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -

                                                                -

                                                                Our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                The Marketing, Strategy and Data Insights team supports TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                -

                                                                -

                                                                You’ll collaborate with teams across the company, seeking out innovative data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                                                -

                                                                -

                                                                As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploration of datasets, development of novel AI techniques, to automation of pipelines and ML models; be a leader in our cloud migration journey.

                                                                -

                                                                -

                                                                What you\'ll do

                                                                -

                                                                +

                                                                Week 7: December 1, 2022

                                                                  -
                                                                • Lead the iterative development, validation, and deployment of AI/ML models
                                                                • -
                                                                • Collaborate on end-to-end automation efforts required to bring models to production
                                                                • -
                                                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                • -
                                                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                • -
                                                                • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                • -
                                                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                • -
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • +
                                                                • Data governance
                                                                -

                                                                -

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                -

                                                                What you bring

                                                                -

                                                                +

                                                                Week 8: December 8, 2022

                                                                  -
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • -
                                                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                • -
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • -
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                                                • -
                                                                • You possess advanced knowledge in SQL and Apache Spark
                                                                • -
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • -
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • +
                                                                • Ethical practice
                                                                • +
                                                                • Legal consultation
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +

                                                                Capstone Paper Due: 08 July 2022

                                                                +

                                                                Capstone and Debrief

                                                                  -
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • -
                                                                • GCP or other cloud certifications #LI-REMOTE -
                                                                • +
                                                                • Course debrief meetings
                                                                • +
                                                                • Course grades to be submitted approximately 2 weeks after the end of the course, or as discussed by the Instructor and the Vector / Michener team
                                                                • +
                                                                • Course close - Team wrap meeting
                                                                -

                                                                -

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/565302217/,feed-importer@jobboard.io,,,,2022-12-24T13:48:41.181Z,False,0,7,66,https://talenthub.vectorinstitute.ai/jobs/169479517-data-scientist-at-telus,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,PhD,New Posting, -9c79cb31-b526-4503-a38c-a20c8dbf70c9,170605616,TD Bank Group,Machine Learning Engineer Framework (Layer 6),on_site,"Toronto, ON",2022-11-24T17:24:03.072Z,"
                                                                +

                                                                CAPSTONE PROJECT FINAL

                                                                +

                                                                Capstone Panel: Vector Institute & Michener Institute stakeholders

                                                                +

                                                                Marks submitted & data captured - end of course.

                                                                +

                                                                To apply, please submit your CV and a statement outlining your motivation and objectives to: learn@vectorinstitute.ai

                                                                ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-10-01T12:12:24.001Z,False,2,0,87,https://talenthub.vectorinstitute.ai/jobs/147151906-ai-for-clinical-champions-certificate-program-teaching-assistant-ta-at-vector-institute-internal-opportunities-only,,expired,2022-08-30T18:54:00.000Z,employer-repost,Scaling (20-499),Vector Quick Apply,Public Administration (i.e Gov't),Associate,Masters Degree,New Posting, +938f7686-dd4d-41cd-8c1f-816c5a891587,152749917,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-09-23T01:52:04.339Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -43452,242 +42901,430 @@ ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ont

                                                                Department Overview

                                                                -
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                Job Description

                                                                -
                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have a real world impact. The goal of the framework is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration.

                                                                -

                                                                As part of the Machine Learning Frameworks team, you will design and build the cloud-based core engine powering enterprise use cases at the bank, enabling scientists to build high-quality machine learning models. You will work with ML product engineers, Ops teams, and scientists to ensure our frameworks can support use cases deployed on our computing infrastructure.

                                                                +
                                                                +

                                                                +

                                                                About this Role

                                                                +

                                                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                +

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                +

                                                                +

                                                                As the Manager, Analytics & Insights you will:

                                                                  -
                                                                • Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.
                                                                • -
                                                                • Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
                                                                • +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • +
                                                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                                • +
                                                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • +
                                                                • Set operational team direction, working in partnership to execute on common goals
                                                                • +
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • +
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • +
                                                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • +
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • +
                                                                • Support execution with excellence on key initiatives/programs
                                                                • +
                                                                • Design effective test and learn for various programs or scenarios
                                                                • +
                                                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                                • +
                                                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                                • +
                                                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                                                -

                                                                Customer Accountabilities:

                                                                -
                                                                  -
                                                                • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                                                                • -
                                                                • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                                                                • -
                                                                • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                                                                • -
                                                                • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                                                                • -
                                                                • Act as the expert or lead innovator and agent of change for the programs and services under management
                                                                • -
                                                                • Work with other teams to implement best practices for engineering and management
                                                                • -
                                                                • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                                                                • -
                                                                • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                                                                • -
                                                                • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                                                                • -
                                                                +

                                                                Requirements

                                                                -Must-Have:

                                                                +What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Experience with building and scaling data-intensive software.
                                                                • -
                                                                • You value good software design and sweat over details in code and API design.
                                                                • -
                                                                • You enjoy learning new technology and also educating others.
                                                                • -
                                                                • You take great personal pride in building robust and scalable software.
                                                                • -
                                                                • You strive to communicate clearly and with empathy.
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                -

                                                                Nice to have

                                                                -

                                                                Experience building a library or a framework.
                                                                Experience using spark or other distributed data frameworks.
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.

                                                                Knowledge of distributed systems.

                                                                -

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                -

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-26T17:29:06.226Z,False,0,11,54,https://talenthub.vectorinstitute.ai/jobs/170605616-machine-learning-engineer-framework-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -0177694f-f5b2-45b6-9ac4-9f45750c5a3a,195761431,Bell Canada,"ON - 2023 Internship Program - Customer Experience, Marketing, and Applied Technologies",on_site,"Toronto, Ontario",2023-02-12T17:21:03.921Z,"

                                                                Req Id: 390452

                                                                -

                                                                -

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                -

                                                                -

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                -

                                                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                -

                                                                -

                                                                Revised Application Deadline: 02/26/2023

                                                                -

                                                                -

                                                                Over the course of our three-month internship program, you will:

                                                                -

                                                                -
                                                                  -
                                                                • Learn from the customer: Work directly with our customers through our call centres and online e-chat services as you learn about our services and customer support systems.
                                                                • -
                                                                • Apply your learnings: Improve the customer experience by working with your fellow interns on critical business projects. Our executive team carefully selects project topics, which offer interns an opportunity to make tangible impacts.
                                                                • -
                                                                • Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
                                                                • -
                                                                -

                                                                Why join us:

                                                                -
                                                                  -
                                                                • Learn how to leverage and use data to drive results as you produce and present business cases to our senior Leadership Team.
                                                                • -
                                                                • Develop your analytical, project management, and communication skills with training and hands-on opportunities to apply your learnings.
                                                                • -
                                                                • Interact with our peer-to-peer support network and receive mentorship from recent Grads enrolled in our full-time Graduate Leadership Program.
                                                                • -
                                                                • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program.
                                                                • -
                                                                -

                                                                You should apply if:

                                                                -
                                                                  -
                                                                • You are graduating in spring 2024.
                                                                • -
                                                                • You are enrolled in a university Bachelor’s degree in engineering, business technology management, computer science, math/statistics, business, or economics.
                                                                • -
                                                                • You are enrolled in a full time STEM-related college program and are required to complete an integrated work experience.
                                                                • -
                                                                -
                                                                  -
                                                                • You are aligned with working in-person at a Toronto-based Bell office location 2-3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.
                                                                • -
                                                                • You have excellent interpersonal and communication skills (verbal and written).
                                                                • -
                                                                • You have introductory experience, or the desire to learn, data tools and software such as SQL, SAS, MicroStrategy, and Unica.
                                                                • -
                                                                -

                                                                Application Instructions:

                                                                -
                                                                  -
                                                                1. Apply directly on Bell’s career page.
                                                                2. -
                                                                3. Submit a resume and most recent transcripts (unofficial accepted).
                                                                4. -
                                                                5. -When prompted, indicate three role profiles that interest you. Before submitting your application, please visit jobs.bell.ca/ca/en/campus-glp-customer-operations for more information on each of the following role profiles:
                                                                    -
                                                                  1. Customer Experience Strategy, Design and Delivery
                                                                  2. -
                                                                  3. Operations and Business Strategy
                                                                  4. -
                                                                  5. Digital Advocacy (Web and App)
                                                                  6. -
                                                                  7. Application Developer
                                                                  8. -
                                                                  9. Communications and Brand Development
                                                                  10. -
                                                                  11. Marketing Campaigns and Pricing Strategy
                                                                  12. -
                                                                  13. Channel Sales Strategy
                                                                  14. -
                                                                  15. Product Management (Internet, TV, 5G and IoT)
                                                                  16. -
                                                                  17. Business Intelligence Analyst, Operational Insight and Support
                                                                  18. -
                                                                  19. Machine Learning Developer
                                                                  20. -
                                                                  -
                                                                6. -
                                                                -

                                                                -

                                                                Please note: We hire on a rolling basis. This means that applications are reviewed as they are received and positions may be filled while this job ad is still live. Apply as early as possible to give yourself the best chance!

                                                                -

                                                                -

                                                                #EmployeeReferralProgram

                                                                -

                                                                -

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                -

                                                                -

                                                                Additional Information:

                                                                -

                                                                Position Type: Management
                                                                Job Status:
                                                                Intern
                                                                Job Location:
                                                                Canada : Ontario : Don Mills || Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 11/27/2022

                                                                -

                                                                -

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                -


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                -

                                                                -

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                -

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                -

                                                                -

                                                                Created: Canada, ON, Toronto

                                                                -

                                                                -

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA390452EXTERNALENCA/ON-2023-Internship-Program-Customer-Experience-Marketing-and-Applied-Technologies?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-15T17:26:04.415Z,True,0,2,12,https://talenthub.vectorinstitute.ai/jobs/195761431-on-2023-internship-program-customer-experience-marketing-and-applied-technologies-at-bell-canada,BECACA390452EXTERNALENCA,expired,2023-02-12T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, -7846eaf0-7ac7-4b00-a35e-813bb39f5716,189731374,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-01-24T17:42:04.470Z,"
                                                                -

                                                                -

                                                                -

                                                                Vision and Core Values

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16622753/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-03T17:11:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/152749917-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16622753/manager-analytics-insights-toronto-ca/,expired,2022-09-23T01:52:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +5a0d5332-9e3a-4ce5-86b4-aeb763805447,147915000,Deep Genomics,Machine Learning Engineer (All levels),full,Toronto/Boston/San Francisco Bay Area/Remote North America Only /,2022-09-02T05:07:02.447Z,"
                                                                +
                                                                About Us
                                                                +
                                                                +Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and by far the most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules.
                                                                +

                                                                +
                                                                +The thesis here at Deep Genomics is that everyone, at some point in their life, will face a genetic condition, whether Mendelian or complex, and we aim to be there for them with a genetically precise therapy. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering.
                                                                +

                                                                +
                                                                Ideal Candidate
                                                                +
                                                                Our predictive systems group brings together world-leading experts in biology, genomics, medicine, and machine learning. We are working on several ambitious projects to develop pioneering AI technology for understanding complex genetic diseases and enabling the discovery of novel targets as well as therapies. We are looking for an experienced machine learning engineer to lead the design and development of new models and pipelines and the infrastructure for scaling it up to the next level.
                                                                +
                                                                +
                                                                +

                                                                What You’ll Be Doing:

                                                                +
                                                                    +
                                                                  • Working with our ML scientists to develop highly scalable models and algorithms for predicting molecular phenotypes using state-of-the-art neural network methodologies.
                                                                  • +
                                                                  • Developing evaluation, visualization, and productivity tools for streamlining machine learning research
                                                                  • +
                                                                  • Adapting our algorithms and architectures to best exploit modern cloud computing environments
                                                                  • +
                                                                  • Working with our software engineers, biologists and geneticists to operationalize and deploy research output to match the needs of stakeholders.
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                What You Bring:

                                                                +
                                                                    +
                                                                  • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
                                                                  • +
                                                                  • Senior candidates should have experience in architecting, developing, and deploying large software systems in a leading position
                                                                  • +
                                                                  • Experience in building, testing, training, and deploying production-ready ML workflows.
                                                                  • +
                                                                  • Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
                                                                  • +
                                                                  • Experience with frameworks like PyTorch, Caffe2, Tensorflow, Keras, JAX, Chainer, etc.
                                                                  • +
                                                                  • Experience in the operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning).
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                What we offer:

                                                                +
                                                                    +
                                                                  • Leading role in developing the future of drug development to cure genetically defined diseases.
                                                                  • +
                                                                  • A highly competitive salary and meaningful equity compensation.
                                                                  • +
                                                                  • Exceptional opportunities for learning and growth.
                                                                  • +
                                                                  • A bright, collegial, highly motivated team working at the intersection of the most exciting areas of science and technology.
                                                                  • +
                                                                +
                                                                +
                                                                +
                                                                +Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                                                                +

                                                                +
                                                                Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                                                                +
                                                                ",,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,feed-importer@jobboard.io,,,,2022-10-03T15:01:00.000Z,False,0,30,121,https://talenthub.vectorinstitute.ai/jobs/147915000-machine-learning-engineer-all-levels-at-deep-genomics,https://jobs.lever.co/deepgenomics/8b65444c-f970-4d13-acac-0c821944bc36,expired,2022-09-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +a325aa5a-b3be-4623-9952-1dcdb3d9c769,148650374,RBC,Cyber data analytics and development (GCS),on_site,"Toronto, ON, Canada",2022-09-05T12:53:02.519Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Cyber data analytics and development (GCS)

                                                                -

                                                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                -

                                                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                -
                                                                  -
                                                                • Investing to earn outstanding returns with due regard for risk
                                                                • -
                                                                • Partnering with like-minded investment managers
                                                                • -
                                                                • Providing high quality service to our members and employers
                                                                • -
                                                                • Delivering value for money
                                                                • -
                                                                • Building a culture of excellence and pride in OMERS
                                                                • -
                                                                -

                                                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                +

                                                                Job Description

                                                                -

                                                                Value Proposition

                                                                -

                                                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                Be part of a dynamic group which help develop and maintain data monitors services around user behavioral risks using advanced data modelling techniques to highlight and then minimize identified exposures. The data protection team utilize in-house built services and continuously enhance and expand data modelling for ongoing insights to help investigation outcomes.

                                                                -

                                                                Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Assemble and analyze large, complex data sets that meet business and team requirements.
                                                                • +
                                                                • Build and maintain data pipelines from varied sources to enable complex management reporting.
                                                                • +
                                                                • Build, run and maintain python scripts for building reporting automation.
                                                                • +
                                                                • Model complex employee related behaviors using algorithmic, data mining, and visualization techniques
                                                                • +
                                                                • Leverage data driven insights and provide opinions on key risk indicators.
                                                                • +
                                                                • Identify key risk indicators to measure and contribute to the development of behavioral based rules and oversight.
                                                                • +
                                                                • Identify and address issues with policy compliance through analysis; monitoring and assessing cyber events.
                                                                • +
                                                                • Develops technology based tools and performs data analysis to monitor, measure, and manage discovered risks.
                                                                • +
                                                                • Implements monitoring to ensure discovered data risks are reviewed and actioned.
                                                                • +
                                                                • Develop action plans to resolve issues and re-designs processes to better manage, measure, and monitor exposure risks.
                                                                • +

                                                                -

                                                                Responsibilities:

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                  -
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                • -
                                                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                • -
                                                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                • -
                                                                • Automate manual processes and optimize data delivery
                                                                • -
                                                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                • -
                                                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                • -
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • -
                                                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                • -
                                                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                • +
                                                                • +Experience with requirements gathering and documentation. +
                                                                • +
                                                                • +Experience with programming and scripting languages using Python and SQL as a primary data store. +
                                                                • +
                                                                • +Understanding of data management practices (manipulating, processing and extracting large, disconnected datasets) and managing data pipelines using analytics service ex. Dataiku, Python and API based services. +
                                                                • +
                                                                • +Experience with web application development, application event analysis and API integrations. +
                                                                • +
                                                                • +Knowledge of cyber security standards, risks, threats, protection measures, and industry best practices in a financial regulatory space. +
                                                                • +
                                                                • Experience providing operational support, issue identification and remediation in complex environments.

                                                                -

                                                                Qualifications:

                                                                +

                                                                Nice-to-have

                                                                  -
                                                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                • -
                                                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                • -
                                                                • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                • -
                                                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                • -
                                                                • Deep proficiency in SQL, Python, and similar languages
                                                                • -
                                                                • Good understanding of investment products
                                                                • -
                                                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                • -
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • -
                                                                • Investment data modeling experience using the Kimball method is an asset
                                                                • -
                                                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                • -
                                                                • Data governance experience is an asset
                                                                • -
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                • +
                                                                • Development experience using other programming languages and or frameworks.
                                                                • +
                                                                • Extensive experience with data science and modelling.
                                                                • +
                                                                • Industry security related training and certifications.

                                                                -

                                                                And you demonstrate:

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                  -
                                                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                • -
                                                                • A teammate mentality coupled with servant leadership
                                                                • -
                                                                • A sense of urgency, optimism, and a desire to deliver excellence
                                                                • -
                                                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                • -
                                                                • Strong orientation towards strategy, change, and results
                                                                • -
                                                                • A continuous improvement mindset
                                                                • +
                                                                • Work on and influence data protection services which are the core of decision making and ongoing risk management practices.
                                                                • +
                                                                • Develop and manage future proof services with strong links to data science practices and outcomes.
                                                                • +
                                                                • Ability to embrace the art of the possible in everyday work.
                                                                    +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, and competitive compensation.
                                                                  • +
                                                                  • Work with leaders who support your development through coaching and managing opportunities.
                                                                  • +
                                                                  • Ability to make a difference and lasting impact.
                                                                  • +
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                                  • +
                                                                  • Flexible work/life balance options.
                                                                  • +
                                                                  • Opportunities to do challenging work.
                                                                  • +
                                                                  • Opportunities to take on progressively greater accountabilities.
                                                                  • +
                                                                  • Access to a variety of job opportunities across business and geographies.
                                                                  • +
                                                                  +
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4307?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,12,45,https://talenthub.vectorinstitute.ai/jobs/189731374-data-engineer-finance-data-at-omers,,expired,2023-01-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-01-27T17:42:02.489Z,"
                                                                +

                                                                +

                                                                Job Summary

                                                                Monitors data usage risks and implements risk management systems and processes to minimize any exposure of data. Apply advanced analytical and development skills to highlight and action key risks using modelling and programmatic solutions.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Technology and Operations

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-09-01-07:00

                                                                Application Deadline:

                                                                2022-09-30-07:00
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000025459/Cyber-data-analytics-and-development-GCS,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-10-03T15:09:00.000Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/148650374-cyber-data-analytics-and-development-gcs-at-rbc,,expired,2022-09-05T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +16dc1078-17f3-460c-bbf0-951fac040270,163585319,TELUS,Data Analyst- Collaborative Health,on_site,"Ontario, Canada",2022-11-05T17:42:03.250Z,"

                                                                Description

                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                                The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                                -


                                                                What you’ll do

                                                                +

                                                                Join our team

                                                                +

                                                                +

                                                                Be a part of a transformational journey with innovative talent and leading edge technologies.

                                                                +

                                                                +

                                                                Our team and what we’ll accomplish together

                                                                +

                                                                +

                                                                Do you thrive in a fast-paced, team centric environment? Are you a detailed-oriented person who loves solving problems by leveraging creative solutions? Do you want to be in a space where your knowledge and experience are used and fostered? Read on as this is the job for you!

                                                                +

                                                                +

                                                                As a key member of the TELUS Health Collaborative Health team, you will be joining a growing team of Analysts in transforming and converting health data for Canadian physicians on a TELUS EMR (Electronic Medical Record) platform. This exciting opportunity will allow you to leverage your experience and skill set within an innovative and collaborative environment while performing meaningful work that is crucial to the success of our TELUS Health EMR platforms.

                                                                +

                                                                +

                                                                This position will be a contract role for approximately 18-20 months.

                                                                +

                                                                +

                                                                What you’ll do

                                                                +

                                                                +

                                                                As part of the team, you’ll be responsible for:

                                                                  -
                                                                • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                                • -
                                                                • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                                • -
                                                                • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                                                                • -
                                                                • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                                • -
                                                                • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                                • -
                                                                • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                                • +
                                                                • Extracting data from various source systems and data stores by performing light business coding (ex. Java, Python, C#, etc.)
                                                                • +
                                                                • Connecting with our customers to conduct requirement gathering and performing data validations
                                                                • +
                                                                • Mapping and transforming data using various techniques (ex. XSLT, MapForce, scripting, etc.) based on customer input and requirements
                                                                • +
                                                                • Performing ad-hoc queries (ex. SQL, LINQ, etc.) and reports to analyze customer data before and after migration
                                                                • +
                                                                • Planning and performing go-live transformation and validation to ensure no data is lost or corrupted
                                                                • +
                                                                • Executing production data migrations (requires occasional evening/weekend work)
                                                                • +
                                                                • Collaboration with various teams across the business to identify roadblocks and resolve issues, to ensure timely completion for each project
                                                                • +
                                                                • Contributing to ongoing development and refinement of data migration tools and processes
                                                                • +
                                                                • Tracking issues, communicating project status, and managing project risk
                                                                +

                                                                +

                                                                Qualifications

                                                                -


                                                                What you bring

                                                                +

                                                                +

                                                                What you bring

                                                                  -
                                                                • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                                • -
                                                                • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                                • -
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                                • -
                                                                • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                                                                • -
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • -
                                                                • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                                                                • -
                                                                • You are experienced with Informatica IICS and Powercenter ETL tools
                                                                • -
                                                                • You have a strong SQL foundation
                                                                • +
                                                                • Graduation from a post-secondary institution specializing in related technologies
                                                                • +
                                                                • 2+ years of experience working on data transformation or development projects
                                                                • +
                                                                • 2+ years of working with SQL/TSQL
                                                                • +
                                                                • 2+ years of working with XML and related tools (ex. XSL/XPath)
                                                                • +
                                                                • 2+ years of working with a scripting language (ex. Bash/JavaScript/Python/Perl/etc.)
                                                                -



                                                                Great-to-haves

                                                                +

                                                                +

                                                                Technical Knowledge:

                                                                +

                                                                  -
                                                                • You are experienced in the data engineering field and comfortable in leading projects in it.
                                                                • -
                                                                • You have GCP or other cloud certification.
                                                                • -
                                                                • Scrum Master Certified
                                                                • -
                                                                • PMP Certified
                                                                • +
                                                                • SQL/TSQL
                                                                • +
                                                                • Data Transformation Scripting and Mapping (ex. XML, XSL/XPath)
                                                                • +
                                                                • Familiarity with databases such as MSSQL, Oracle, MySQL, etc.
                                                                • +
                                                                • Scripting (ex. Python/Groovy) or development (ex. Java/C#)
                                                                • +
                                                                • Linux/Unix and Groovy an asset
                                                                • +
                                                                +

                                                                +

                                                                Functional Skills:

                                                                +

                                                                +
                                                                  +
                                                                • Detail oriented
                                                                • +
                                                                • Avid problem solver
                                                                • +
                                                                • Ability to communicate both verbally and written in English, French is an asset
                                                                • +
                                                                • Ability tmulti-task and manage numerous concurrent projects
                                                                • +
                                                                • Strong analysis and problem solving skills with the ability to identify root cause
                                                                • +
                                                                • Ability to communicate in an effective and respectful manner with customers and fellow team members
                                                                • +
                                                                • Self-directed in completing project-based work
                                                                • +
                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Agile & Project Management skills
                                                                • +
                                                                • Experience with Ruby On Rails would be an advantage
                                                                • +
                                                                • Understanding of Network Infrastructure
                                                                • +
                                                                • Medical experience or clinical workflow as asset
                                                                • +
                                                                • Experience with HL7, CoPD and CDS/CMS XML standards
                                                                • +
                                                                • Experience with the Atlassian tool suite (ex. Jira, Bitbucket, Confluence)
                                                                • +
                                                                • MapForce an asset
                                                                +

                                                                +

                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/190519196-product-owner-data-engineering-at-telus,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -869e530d-76a0-4c8a-bff1-719c056a63de,187920680,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-01-17T17:24:03.138Z,"
                                                                +
                                                                ",,https://careers.telus.com/job/Halifax-Data-Analyst-Collaborative-Health-Nova/562036117/,feed-importer@jobboard.io,,,,2022-11-24T15:37:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/163585319-data-analyst-collaborative-health-at-telus,,expired,2022-11-05T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, +0e2e205a-a59e-49d5-9db6-0452ef5c33a1,164022015,University of Toronto,POSTDOCTORAL FELLOWSHIP,on_site,"Toronto, ON, Canada",2022-11-07T15:05:03.763Z,"

                                                                Overview: 1. Modest additional funding for conference travel and research training activities will also be made available to Fellows during their tenure in the program.
                                                                2. There is a possibility for a 3rd year global research exchange, industry internship, and/or teaching-focused postdoctoral experience, pending the availability of funding from the host supervisor(s), Mitacs, and/or an alternate source of funding.

                                                                Program:
                                                                The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural sciences or engineering and aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program funds cutting edge applications of AI in the natural sciences and engineering and creates a community of interdisciplinary leaders. Applicants must demonstrate clear expertise and promise within their field of study. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related computational skills to support new directions in the application of AI.

                                                                ELIGIBILITY

                                                                +

                                                                APPLICANTS MUST:

                                                                +
                                                                  +
                                                                • Demonstrate academic excellence and high potential for success in their chosen fields.
                                                                • +
                                                                • Have completed all requirements for their doctoral degree no earlier than January 1, 2020*. (Updated, Nov. 1) If within two years following the date of completion of your PhD, you had your career significantly interrupted due to parental, medical and/or family-related responsibilities, or due to research related slowdowns or shutdowns caused by the Covid-19 pandemic, the eligibility period will be extended to Jan 2019. If this applies, applicants should add a section at the end of their CV describing special circumstances and career interruptions.
                                                                • +
                                                                +

                                                                APPLICATION REQUIREMENTS

                                                                +
                                                                  +
                                                                • Applications must be submitted to the Schmidt Futures Program Manager at schmidtfutures@utoronto.ca
                                                                • +
                                                                • Email subject line (for both applicant and supervisor): APPLICANT NAME: SCHMIDT FELLOWS PDF APPLICATION
                                                                • +
                                                                • Incomplete applications will not be accepted.
                                                                • +
                                                                +
                                                                  +
                                                                • +Note: International candidates need to have completed their PhD prior to their start date, while Canadian citizens and permanent residents are required to have completed their PhD within 6 months of their start date. +
                                                                • +
                                                                • Not hold another Postdoctoral Fellowship in conjunction with the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. Applicants holding a Postdoctoral Fellowship at the time of award will be required to resign from their position before taking up the award.
                                                                • +
                                                                +
                                                                  +
                                                                • Hold a degree in a natural sciences or engineering (NSE) discipline.
                                                                • +
                                                                • Be associated with at least one primary supervisor who has a status or budgetary appointment at the University of Toronto. If the primary supervisor does not have expertise in AI, a co-supervisor with expertise in AI is required.
                                                                • +
                                                                • Begin the Fellowship no later than March 1, 2023 (ideally in January 2023).
                                                                • +
                                                                +

                                                                SUPERVISORS MUST:

                                                                + +

                                                                REQUIRED APPLICATION COMPONENTS

                                                                +
                                                                1. +Postdoctoral Applicant Components (please submit as one PDF file):

                                                                  a.
                                                                  Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Application Form (instructions for below narrative sections within form)

                                                                  b. Research Proposal (3 pages maximum)

                                                                  c. Training Plan (1 page maximum)

                                                                  d. References (1 page maximum)

                                                                  e. Applicant’s CV

                                                                  f. Applicants are also required to complete and submit the Applicant Demographic Survey as part of their application. All survey answers will remain confidential and will not be used as part of the evaluation of your application or any other future application.
                                                                +

                                                                +
                                                                1. +Supervisor Application Components: Proposed primary supervisor(s) must hold an appointment at the University of Toronto and be eligible Principal Investigators, according to the University of Toronto PI eligibility criteria.

                                                                  a. Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Supervisor’s Assessment Form (submitted by the supervisor)

                                                                  b. One confidential Letter of reference outlining, the applicant's research excellence, the merit of the proposed research, and the suitability of the proposed research environment.
                                                                +

                                                                Note: The primary supervisor is required to collect this letter on behalf of the applicant and submit it with their completed supervisor form.

                                                                +

                                                                EVALUATION AND SELECTION PROCESS

                                                                +

                                                                The Selection Committee, which will meet each competition year to evaluate and recommend top candidates, will reflect the broad diversity of individuals and disciplines within the NSE disciplines and will include experts from across the University of Toronto. The Chair of the Selection Committee will play the role of Equity Officer. Members of the Selection Committee are expected to reinforce standards of rigor, fairness, respect and equity, diversity and inclusion throughout the adjudication process. The VPRI Best Practices in Peer Review Guide shall serve as a resource for members of the Selection Committee.

                                                                +

                                                                The single criteria for the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship is demonstrated academic excellence and high potential for success in the chosen field. The multidisciplinary selection committee members assess this through their evaluation of each applicant’s:

                                                                +
                                                                  +
                                                                1. Application form
                                                                2. +
                                                                3. Research Proposal
                                                                4. +
                                                                5. Training Plan
                                                                6. +
                                                                7. CV
                                                                8. +
                                                                9. The postdoctoral fellowship supervisor’s statement, and
                                                                10. +
                                                                11. one letter of reference
                                                                12. +
                                                                +

                                                                IMPORTANT INFORMATION

                                                                +
                                                                  +
                                                                • +
                                                                  Please consult the information regarding postdoctoral fellowships at the University of Toronto on the website of the School of Graduate Studies.
                                                                • +
                                                                • Canadian citizens and permanent residents must have completed their PhD requirements no later than six months after their start-date of an Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship.
                                                                • +
                                                                • International applicants must have completed their PhD requirements before the start date. In each instance, proof of PhD completion must be provided within three months of completion if the applicant did not have it in hand at the time of application. Degree completion does not mean convocation, but rather the completion of all the requirements necessary for the PhD.
                                                                • +
                                                                • Eric and Wendy Schmidt AI in Science Postdoctoral Fellows may not concurrently hold another postdoctoral fellowship.
                                                                • +
                                                                • Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE Unit 5 Collective Agreement. The normal hours of work are 40 hours per week for a full-time postdoctoral fellow (pro-rated for those holding a partial appointment) recognizing that the needs of the employee’s research and training and the needs of the supervisor’s research program may require flexibility in the performance of the employee’s duties and hours of work.
                                                                • +
                                                                • Requests for award interruptions for reasons that are not outlined within Article 11 (Leaves) of the CUPE Unit 5 Collective Agreement will not normally be considered.
                                                                • +
                                                                • The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from visible minority group members, women, Indigenous persons, persons with disabilities, members of sexual minority groups, and others who may contribute to the further diversification of ideas.
                                                                • +
                                                                +

                                                                At the University of Toronto, we strive to be an equitable and inclusive community, rich with diversity, protecting the human rights of all persons, and based upon understanding and mutual respect for the dignity and worth of every person. We seek to ensure to the greatest extent possible that all students and employees enjoy the opportunity to participate as they see fit in the full range of activities that the University offers, and to achieve their full potential as members of the University community.

                                                                +


                                                                ",,https://schmidtfellows.utoronto.ca/apply,schmidtfutures@utoronto.ca,http://www.utoronto.ca,,,2022-11-24T15:36:00.000Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/164022015-postdoctoral-fellowship-at-university-of-toronto,,expired,2022-11-07T15:05:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, +84aceda5-b0ca-4473-86c8-808a5b8928ce,188512113,Georgian,Machine Learning Scientist - Intern,on_site,"Toronto, ON, Canada",2023-01-19T20:28:53.397Z,"

                                                                Georgian

                                                                +

                                                                +

                                                                is a fintech company that invests in high growth technology companies

                                                                +

                                                                that harness the power of data in a trustworthy way. Georgian’s

                                                                +

                                                                investments include Shopify, ClickUp, Xanadu, and Vention. You can see our full portfolio here.
                                                                At

                                                                +

                                                                Georgian, we’re building a platform to provide a better experience of

                                                                +

                                                                growth capital to software company CEOs and their teams, using an

                                                                +

                                                                intelligent, data-first approach to solving the key challenges CEOs face

                                                                +

                                                                as they grow their businesses.
                                                                Based in

                                                                +

                                                                Toronto, Georgian’s team brings together software entrepreneurs, machine

                                                                +

                                                                learning experts, experienced operators and investment professionals.
                                                                We

                                                                +

                                                                work on helping our companies accelerate the adoption of machine

                                                                +

                                                                learning, apply transfer learning to solve cold-start problems and

                                                                +

                                                                deliver machine learning solutions under strong privacy constraints. We

                                                                +

                                                                contribute back to the open-source community by building software

                                                                +

                                                                libraries based on successful projects. We also drink our own champagne

                                                                +

                                                                by using machine learning to find the best companies to invest in. Check

                                                                +

                                                                out our Medium page to get to know more about our past projects.
                                                                If you want to know what it’s like to work at our team, listen directly from one of our Applied Research Scientists and from our Head of Machine Learning and Applied Research!

                                                                +

                                                                Join us if you are interested in:

                                                                +
                                                                    +
                                                                  • Solving and adopting solutions to real-world business challenges in various companies by leveraging fundamental research
                                                                  • +
                                                                  • Working with people with diverse expertise
                                                                  • +
                                                                  • Advancing our applied research in Multimodal reasoning
                                                                  • +
                                                                  • Working in a flexible environment that allows for publications such as research papers, technical reports and blog posts
                                                                  • +
                                                                +

                                                                What you will bring:

                                                                +
                                                                    +
                                                                  • Proficiency in Python and relevant libraries, such as Sklearn, Numpy, and PyTorch
                                                                  • +
                                                                  • Deep understanding of Machine Learning concepts and familiarity in Computer Vision (CV) and Natural Language Processing (NLP)
                                                                  • +
                                                                  • Ability to plan and execute research roadmaps
                                                                  • +
                                                                  • Strong communication skills
                                                                  • +
                                                                  • Knowledge of Multimodal Reasoning and experience with HuggingFace are preferred
                                                                  • +
                                                                +

                                                                If

                                                                +

                                                                this sounds like an opportunity you are interested in, we would love to

                                                                +

                                                                chat. Please apply by telling us why you think you would be a great fit

                                                                +

                                                                for this role by Jan.19th, 2023, 5pm EST.
                                                                Georgian

                                                                +

                                                                is passionate about creating a diverse and inclusive workplace. We

                                                                +

                                                                promote equality and strive to provide all current and prospective

                                                                +

                                                                employees with support and opportunities.
                                                                Reasonable

                                                                +

                                                                accommodations are available to job applicants on request and

                                                                +

                                                                throughout the application process. If you require accommodation, please

                                                                +

                                                                contact peopleoperations@georgian.io.

                                                                ",,https://jobs.lever.co/georgian/5804ae73-ddeb-48fa-b737-edb53452470e,aitalent@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2023-01-23T23:29:00.000Z,True,0,28,113,https://talenthub.vectorinstitute.ai/jobs/188512113-machine-learning-scientist-intern-at-georgian,,expired,2023-01-19T20:28:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +1e05996d-5fc5-4186-84b8-3e54d4f27a8b,188132853,BMO Financial Group,"Business Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-18T17:12:03.400Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                +

                                                                +

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                +

                                                                +
                                                                +

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                +

                                                                +

                                                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                                                +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +
                                                                  +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • +
                                                                • Analyzes issues and determines next steps.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                                                • +
                                                                • Knowledge of website analytics tools.
                                                                • +
                                                                • Specialized knowledge.
                                                                • +
                                                                • Verbal & written communication skills - Good.
                                                                • +
                                                                • Organization skills - Good.
                                                                • +
                                                                • Collaboration & team skills - Good.
                                                                • +
                                                                • Analytical and problem solving skills - Good.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-24T17:17:02.769Z,False,0,7,15,https://talenthub.vectorinstitute.ai/jobs/188132853-business-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-18T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +dfe076c3-d345-4d71-8f6d-6bbd3dfec0b1,189730410,TD Bank Group,Senior Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-01-24T17:24:03.296Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -43696,261 +43333,297 @@ a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engine

                                                                Department Overview

                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                +

                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                +

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                Job Description

                                                                -

                                                                About this Role

                                                                -

                                                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                                                -

                                                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                                                -

                                                                As a Data Scientist III, these are the essential qualifications of this role:

                                                                +

                                                                The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                                +

                                                                We are looking for experienced Senior Machine Learning Product Engineers (Engineering Lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They also are experts in data engineering and/or machine learning.

                                                                +

                                                                The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                                +

                                                                What are your main responsibilities?

                                                                  -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • -
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • -
                                                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                                • -
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • -
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • -
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • -
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • -
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development

                                                                • +
                                                                • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system

                                                                • +
                                                                +
                                                                  +
                                                                • Go-to person for data and model delivery within Layer 6

                                                                • +
                                                                • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                                                                Requirements

                                                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Required Technical Skills

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Ten (10) or more years of relevant experience
                                                                • -
                                                                • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
                                                                • -
                                                                • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
                                                                • +
                                                                • BSc+ in Computer Science, Math, Physics, or similar

                                                                • +
                                                                • 5+ years of extensive programming experience, at least 3 years in building production data systems

                                                                • +
                                                                +
                                                                  +
                                                                • 3+ years experience of building machine learning production system

                                                                • +
                                                                • Expert level skills in system design

                                                                • +
                                                                • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch

                                                                • +
                                                                • Strong knowledge of Machine Learning and Deep Learning

                                                                • +
                                                                • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

                                                                • +
                                                                +
                                                                  +
                                                                • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS

                                                                • +
                                                                • Strong experience with Scala and Java 8

                                                                +

                                                                Nice to have Skills

                                                                +
                                                                • C++, Python experience

                                                                Additional Information

                                                                -#LI-Hybrid #datascientist
                                                                +

                                                                Benefits

                                                                +
                                                                  +
                                                                • Entrepreneurial and inclusive culture

                                                                • +
                                                                • Excellent health coverage and pension plan

                                                                • +
                                                                • Four weeks paid vacation

                                                                • +
                                                                • +

                                                                  Catered lunches twice a week over machine learning talks

                                                                  +

                                                                  #LI-Hybrid

                                                                  +
                                                                • +
                                                                +

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/187920680-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-01-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -413b8ae1-6ce9-4c74-a6d0-4c5f3ad8ce88,190518303,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-01-27T17:24:07.558Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role
                                                                Are you an experienced data steward or data governance professional? Are you able to identify and manage data risk? If so, this role will enable you to support lines of business to identify and address various data risks, working in alignment with Bank-wide data standards and policy. This role will report into the Manager, Data Steward.

                                                                -

                                                                As a Data Steward, your ability to analyze, organize and prioritize will be foundational to your success in the role. You will act as a subject matter expert and develop and maintain a robust understanding of governance and control requirements. Your strong ability to work with multiple stakeholders and form positive working relationships will be key. As a key member of the team, you will:

                                                                -
                                                                  -
                                                                • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
                                                                • -
                                                                • Review and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
                                                                • -
                                                                • Monitor, track and assess Line of Business (LOB) adherence to Enterprise Data Policies and Standards
                                                                • -
                                                                • Support governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality management and data retention and disposition
                                                                • -
                                                                • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs / policies / practices
                                                                • -
                                                                • Deliver training, tools, and advice to support the governance and oversight of data
                                                                • -
                                                                • Coordinate and partner with other control partners to support LOB implementation and execution of data governance requirements and associated controls to mitigate data risk
                                                                • -
                                                                • Understand trends, identify issues and opportunities, and recommend action to management
                                                                • -
                                                                • Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality; escalate issues where appropriate
                                                                • -
                                                                • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                • -
                                                                • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Five (5) or more years relevant experience
                                                                • -
                                                                • Solid understanding of data governance principles and an understanding of data risk and data management
                                                                • -
                                                                • Solid understanding of data structures and data flows
                                                                • -
                                                                • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently and proactively
                                                                • -
                                                                • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
                                                                • -
                                                                • Proficient in Microsoft Suite of products (Office 365, Excel, PowerPoint, Word, Outlook)
                                                                • -
                                                                • Experience working with JIRA and Confluence is considered an asset
                                                                • -
                                                                • Problem solving capabilities are required along with a strong focus on attention to detail
                                                                • -
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members, and build positive relationships across teams and functions
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/190518303-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -0245e7f5-43ce-44e3-a857-0b9f94a88289,196078036,TD Bank Group,"Senior Manager, Data Analytics & Reporting (FRC group)",on_site,"Toronto, ON",2023-02-13T17:24:02.266Z,"
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/189730410-senior-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a548e086-fbde-4a93-90b5-8937f5220caa,183865777,TD Bank Group,Data Science & Advanced Analytics Co-op/Intern,on_site,"Toronto, ON",2023-01-05T17:24:03.947Z,"

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                Department Overview

                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                -

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                -

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                -

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +

                                                                Department Overview

                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                +
                                                                  +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • +

                                                                Job Description

                                                                -

                                                                Senior Manager, Data Analytics & Reporting, Finance Risk Controls will be responsible for executing the detailed analytical work related to production of oversight and governance reporting, running monthly/quarterly completeness checks and managing dashboards within TD’s data environment and suite of tools (e.g., HIVE, PySpark, Tableau). The individual will support the team in strengthening of internal controls and enhancing governance and Quality Check (QC) program for financial controls across the Bank. The individual will support the team(s) in ensuring compliance with Finance policies and effectiveness of controls related to financial reporting.

                                                                -

                                                                Specific Functions and Accountabilities

                                                                +

                                                                JOB DESCRIPTION

                                                                +

                                                                You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Science & Advanced Analytics Co-op/Intern is a 4/8/12-month work term opportunity in data and analytics. The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, we are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                                                                +

                                                                The The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, which may include:

                                                                  -
                                                                • Managing end-to-end production of reports and dashboards supporting FRC in its mandate of oversight certain Finance policies and financial reporting controls
                                                                • -
                                                                • Executing data pipeline and performing data engineering tasks using big data processing tools like HIVE, PySpark
                                                                • -
                                                                • Performing bug fixes and updating existing business logic based on business feedback.
                                                                • -
                                                                • Creating new metrics/tables and integrating them into the data pipeline on an ongoing basis
                                                                • -
                                                                • Running any manual processes to support production of dashboards, e.g., preparing files for data ingestion into TD’s analytics environment
                                                                • -
                                                                • Understanding metrics and validating those metrics with business partners, validating data quality for key performance metrics and performing root-cause analysis for any discrepancies noted, in alignment with relevant business partners
                                                                • -
                                                                • Gathering requirements for creation of new metrics and reports for dashboards arising from evolving needs
                                                                • -
                                                                • Collaborating with business partners in sourcing and maintaining reports and dashboard
                                                                • -
                                                                • Leading review and walkthrough sessions with various business and technology partners
                                                                • -
                                                                • Maintaining, prioritizing and implementing a feature backlog based on user feedback
                                                                • -
                                                                • Enhancements of reporting and dashboard design to optimize dashboard performance
                                                                • -
                                                                • Supporting management supervision and review, ongoing training needs, and change management.
                                                                • -
                                                                • Supporting dashboard user access management
                                                                • -
                                                                • Documenting and setting up of operating procedures to support dashboard implementation e.g., data lineage, metric formulation, data modelling, use cases, etc.
                                                                • -
                                                                • Preparing ad hoc reports and presentations, as required
                                                                • +
                                                                • Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                                                • +
                                                                • Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                                                • +
                                                                • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                                                • +
                                                                • Build production-scale solutions and work with deployment teams to integrate in business operations
                                                                • +
                                                                • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences

                                                                Requirements

                                                                -

                                                                Specific Educational and Professional Experience Requirements:

                                                                -
                                                                  -
                                                                • University degree in business analytics or other relevant fields
                                                                • -
                                                                • 5+ years experience in data analytics, reporting and business intelligence roles
                                                                • -
                                                                • Strong knowledge of big data processing tools like, Hive and HQL/SQL, Python and PySpark to extract and transform data
                                                                • -
                                                                • Advance working knowledge of MS Excel, VBA and PowerPoint is highly preferred
                                                                • -
                                                                • Experience in an accounting/finance role (financial services industry desirable)
                                                                • -
                                                                • Internal controls experience will be an asset
                                                                • -
                                                                • Familiarity with TD businesses, technology, finance and data ecosystem will be an asset
                                                                • -
                                                                • Financial reporting, process, operations, internal controls, audit experiences will be an asset
                                                                • -
                                                                -
                                                                Professional Skills and Competencies Requirements:

                                                                  -
                                                                • Excellent problem-solving skillsets with ability to interpret new business requirements, undertake deep-dive analysis and translate findings into actionable data insights
                                                                • -
                                                                • Ability to work with numbers, large data sets and their interpretation for business impact
                                                                • -
                                                                • Ability to make recommendations based on a combination of data, professional judgment and common sense
                                                                • -
                                                                • Ability to navigate some level of ambiguity and execute
                                                                • -
                                                                • Ability to synthesize data, extract meaning and utilize relevant information to identify opportunities and provide recommendations
                                                                • -
                                                                • Effective communication skills (both written and verbal), organizational and time-management skills
                                                                • -
                                                                • Good understanding of financial statement assertions and their practical application in controls
                                                                • +
                                                                • +JOB REQUIREMENTS

                                                                  Assigned Line of Business Requirements

                                                                  +
                                                                • +
                                                                • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
                                                                • +
                                                                • Strong statistical and analytical skills and interest are necessary.
                                                                • +
                                                                • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                                                                • +
                                                                • Experience in Python, SQL and/or other data-related programming languages.
                                                                • +
                                                                • Experience with visualizations and building dashboards in Tableau is considered an asset.
                                                                • +
                                                                • Knowledge/experience with machine learning is considered an asset.
                                                                • +
                                                                • Experience with Data Management, Analytics, and Project Management is a plus.
                                                                -
                                                                +

                                                                ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                #FinanceCareers
                                                                +
                                                                +

                                                                Early Talent Requirements

                                                                +
                                                                  +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                • +
                                                                +

                                                                ADDITIONAL INFORMATION
                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                +
                                                                  +
                                                                • This position is a 4-month work term and will commence May 1st, 2023 – August 25th, 2023.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                +

                                                                HOURS
                                                                Monday-Friday, standard business hours
                                                                INCLUSIVENESS
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                Hours

                                                                37.5

                                                                +

                                                                Start Date

                                                                +
                                                                – Summer
                                                                +

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/196078036-senior-manager-data-analytics-reporting-frc-group-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,expired,2023-02-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -3a7b05a4-c9ca-4057-8aba-4f90fd9c6bc5,189729201,BMO Financial Group,"Digital Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-24T17:12:02.474Z,"
                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                -

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                -

                                                                -

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                -

                                                                -
                                                                -

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,35,105,https://talenthub.vectorinstitute.ai/jobs/183865777-data-science-advanced-analytics-co-op-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c8da13c5-9f11-4bf7-9b4a-cadd8fe88d3d,189730408,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-01-24T17:24:03.184Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                                                +

                                                                The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                                +

                                                                The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                -
                                                                  -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • -
                                                                • Analyzes issues and determines next steps.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                                                • -
                                                                • Knowledge of website analytics tools.
                                                                • -
                                                                • Specialized knowledge.
                                                                • -
                                                                • Verbal & written communication skills - Good.
                                                                • -
                                                                • Organization skills - Good.
                                                                • -
                                                                • Collaboration & team skills - Good.
                                                                • -
                                                                • Analytical and problem solving skills - Good.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                                                +

                                                                • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                                • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                                                • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                                • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                                                • understand and actively managing the operational impacts of our fraud defense strategies
                                                                • Think horizontally to build and implement solutions that provide value to our Fraud Strategy teams and partners

                                                                +

                                                                The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                                +

                                                                Accountabilities:
                                                                Fraud Management
                                                                • Accountable for fraud loss targets and the customer experience
                                                                • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                                                • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                                                • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                                                • Supports case valuation and prioritization to optimize fraud management
                                                                • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                                                • Provide ad-hoc analysis to support decision-making at the executive level
                                                                • Design champion / challenger strategies that lead to ongoing learning and improvement
                                                                • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                                                • Produce timely diagnostics to identify system, strategy and operational issues
                                                                • Participates in defect analysis to identify and remediate coverage gaps
                                                                • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                                                                • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                                                                • Think forward and provide early gap mitigation to emerging threat vectors globally
                                                                Partner Support
                                                                • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                                                • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities

                                                                +

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                Requirements

                                                                +
                                                                • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                                • Support the continuous improvement agenda for our operational partners
                                                                • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                                • Act as a subject matter expert and represents the team or bank at project meetings or industry forums

                                                                +

                                                                Requirements:

                                                                +

                                                                • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                                                                • 2+ years’ experience in an analytical capacity
                                                                • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                                                • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                                                                • Understanding of machine learning methods with experience in deployment and implementation
                                                                • Experience with automation tools and proven implementation record
                                                                • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                                • Demonstrated analytical, modeling and problem solving skills
                                                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                • Ability to take initiative and work independently under tight timelines
                                                                • Ability to work collaboratively and build relationships
                                                                • Ability to effectively manage multiple projects and priorities simultaneously
                                                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                                Preferable
                                                                • Experience in fraud management is an asset
                                                                • Knowledge of machine learning is an asset
                                                                • Automation experience is an asset
                                                                • Knowledge of fraud detection platforms is an asset
                                                                • Agile experience is an asset

                                                                +

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                Additional Information

                                                                +
                                                                #tdcybersecurity #LI-Post

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189730408-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ba138787-cb4f-4c1a-8c63-04d1d22a4930,203166954,CIBC,"Sr. Consultant, Digital Analytics and Optimization",on_site,"Ontario, Canada",2023-03-09T17:06:03.934Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                +

                                                                Direct Financial Services (DFS) provides personal and business clients across Canada with direct-to-consumer products and services through strong network of sites and Contact Centers. Lines of business include; CIBC Investor’s Edge, Simplii Financial, and Alternate Solutions Group. You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                +

                                                                +
                                                                • +

                                                                  Campaign design and management

                                                                  +
                                                                    +
                                                                  • Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.

                                                                  • +
                                                                  • Identify new digital sales opportunities to address current or potential sales gaps.

                                                                  • +
                                                                  • Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily.

                                                                  • +
                                                                  • Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data..

                                                                  • +
                                                                  • Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.

                                                                  • +
                                                                  +
                                                                +
                                                                • +

                                                                  Customer segmentation and Predictive modeling

                                                                  +
                                                                    +
                                                                  • Utilize expertise in Statistical and Machine Learning to develop models for customer segmentation and targeted marketing campaigns.

                                                                  • +
                                                                  • Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.

                                                                  • +
                                                                  +
                                                                +
                                                                • +

                                                                  Digital Analytics & Business Insights

                                                                  +
                                                                    +
                                                                  • Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.

                                                                  • +
                                                                  • Prepare presentations that clearly and concisely communicate key findings and objectives.

                                                                  • +
                                                                  +
                                                                +
                                                                • +

                                                                  Data Management

                                                                  +
                                                                    +
                                                                  • Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process.

                                                                  • +
                                                                  • Perform data exploration and integration. Ensure the accuracy and integrity of data.

                                                                  • +
                                                                  • Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels.

                                                                  • +
                                                                  • Design solutions to support optimization and automation of processes and reporting.

                                                                  • +
                                                                  +
                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                +
                                                                  +
                                                                • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                • +
                                                                • Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

                                                                • +
                                                                • Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.

                                                                • +
                                                                • Collaboration – Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.

                                                                • +
                                                                +

                                                                +

                                                                Who You Are

                                                                +
                                                                  +
                                                                • You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or Spark.

                                                                • +
                                                                • You’re a certified professional. You have current accreditation and good standing in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.

                                                                • +
                                                                • You\'re digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel would be an asset. Strong analytic skills including a track record of making recommendations based on data driven business insights. Working knowledge of marketing optimization tools and are proficient in using them to drive owned onsite digital campaign performance.

                                                                • +
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • +
                                                                +

                                                                +

                                                                What CIBC offers

                                                                +

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive base salary, commission, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-81 Bay, 16th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Strategic Objectives
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Digital-Analytics-and-Optimization_2303750?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-23T17:11:03.431Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/203166954-sr-consultant-digital-analytics-and-optimization-at-cibc,,expired,2023-03-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c6d3b50b-850f-47b4-b03a-76243e7bc2d4,204324016,CN,Expert Data Developer,on_site,"Ontario, Canada",2023-03-13T17:42:03.305Z,"
                                                                +

                                                                +
                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                +

                                                                +
                                                                Job Summary
                                                                +
                                                                +

                                                                The Expert, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. The incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. Moreover, the position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                Main Responsibilities

                                                                Data Development

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                · Integrate analytics and data science results with business processes

                                                                · Promote effective data management practices

                                                                · Collaborate with Data Science, Reporting, Analytics, and other Development teams to build data pipelines, infrastructure, and tooling to support business initiatives

                                                                · Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data development architecture

                                                                · Collaborate with the team to meet performance, scalability, and reliability goals

                                                                · Maintain and expand existing systems, tooling, and infrastructure

                                                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                                                Data Design

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                · Design and develop processing pipelines that ingest data into the Data Platforms

                                                                · Expose the data into meaningful formats so that it can be easily consumed

                                                                · Provide day-to-day support and technical expertise to both technical and
                                                                non-technical teams

                                                                · Participate in building data development expertise and framework

                                                                · Translate business needs into technical requirements

                                                                Data Operations and Quality Assurance

                                                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                · Maintain manual and automated test scripts

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                Requirements

                                                                Experience

                                                                Data Development

                                                                · Minimum 10 years of overall work experience

                                                                · Minimum 5 years demonstrating technical leadership qualities or overseeing deliverables

                                                                · Minimum 7 years of experience in a data development role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                Education/Certification/Designation

                                                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                                                · Master’s Degree or Doctor of Philosophy in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                · Google or Azure Data Development certification*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                · Knowledge of Scala, Java or Python

                                                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                                                · Knowledge of Linux and shell scripting

                                                                · Knowledge of multiple database technologies such as Distributed Processing (i.e., Spark, Hadoop), traditional Rational Database Management Systems (RDBMS) (i.e., Oracle, Database 2 (DB2), PostgreSQL), Non-Structured Query Language (NoSQL) (i.e., MongoDB, FireBase)

                                                                · Knowledge of Development Operations (DevOps) and Azure DevOps for Continuous Integration (CI) and Continuous Deployment (CD) Data Pipelines

                                                                +
                                                                +

                                                                +

                                                                +
                                                                About CN
                                                                +

                                                                +
                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                +

                                                                +
                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                +

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-16T17:17:03.685Z,False,0,12,47,https://talenthub.vectorinstitute.ai/jobs/189729201-digital-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-24T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -4b2b896d-6dda-497d-8013-3fc967d30638,192665218,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.528Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169910

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -

                                                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                                                -


                                                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                                                -

                                                                -

                                                                Specifically, the individual will be responsible for:

                                                                -


                                                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                                                -

                                                                Accountabilities:

                                                                -



                                                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                                                Requirements & Qualifications:

                                                                -



                                                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                                                • Experience in developing executive-friendly presentations and dashboards
                                                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                                                • Strong curiousity to learn with adaptive and creative mindset
                                                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-16T17:27:03.421Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/192665218-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -5f33b2ec-b9ca-4e14-9ce3-9c09fd2e115a,190518298,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-01-27T17:24:07.124Z,"
                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10221?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/204324016-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +8e3264d7-130d-4496-b2cb-1c86eaf7ea2d,204323264,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-13T17:24:02.727Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -44040,778 +43713,831 @@ a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engine

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/190518298-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -62b8f756-a034-40d6-aca1-3690f5becdf2,194552839,TD Bank Group,eCommerce and Mobile Wallets Intern/Co-op,on_site,"Toronto, ON",2023-02-09T17:24:04.813Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                -

                                                                Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204323264-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +502b6975-1c21-44ad-ace7-0a73593e79b3,206569868,NVIDIA,Research Scientist Intern - PhD Program,on_site,"Ontario, Canada",2023-03-20T17:42:03.659Z,"
                                                                +

                                                                NVIDIA is searching for world-class interns to join our growing software architecture team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                +

                                                                DPU Data-Processing Units are the smallest form of a data centre, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard CPU and GPU processors. The path to harvest all processing power of DPUs is encapsulated on the DOCA software development kit, which contain all industry-standards that enable application developers to build up amazing network applications.

                                                                +

                                                                +

                                                                This position will be placed with an academic collaborator; either in Denmark (AAU Copenhagen) or the Netherlands (TUE Eindhoven).

                                                                +

                                                                +

                                                                Candidates will first undergo 18 months of academic training and then join NVIDIA as Research Scientist Intern for the next 18 months (either in Denmark or Germany). Both parts of the PhD Program, academic as well as industrial, are paid. The scholarship is highly competitive.

                                                                +

                                                                +

                                                                What you’ll be doing:

                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • +
                                                                • Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK

                                                                • +
                                                                • Learn about security subsystems and systems for networking

                                                                • +
                                                                • Partner and collaborate with other forward-thinking team members and external researchers

                                                                • +
                                                                • Have the opportunity to participate and speak at conferences and events

                                                                • +
                                                                • Publish original research

                                                                • +
                                                                • Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

                                                                -

                                                                Canadian Card Payments and Loyalty Group
                                                                TD is a leader in the Canadian credit card market with industry leading digital capabilities. TD consumer and business credit cards are distributed nationally, leveraging our retail distribution network, direct response channels and key co-brand partnerships. The Canadian Card Payments & Loyalty team is responsible for strategy, product development, customer lifecycle management, and financial performance of all Canadian credit card products.

                                                                -

                                                                As part of the Canadian Card Payments & Loyalty team, the eCommerce and Mobile Wallets team aims to help TD defend its strong position in payments by facilitating seamless end-to-end digital and frictionless payments experiences for our customers. Specifically, the team is responsible for:

                                                                +

                                                                +

                                                                What we need to see:

                                                                  -
                                                                • The eCommerce & Mobile Wallet strategy and roadmap
                                                                • -
                                                                • Executing on a number of initiatives to accelerate eCommerce & Mobile Wallets in partnership with the Enterprise payments team
                                                                • -
                                                                • Maintaining relationships with Mobile Wallets providers, assess new mobile wallets solutions and assess opportunities to deepen digital wallet engagement
                                                                • +
                                                                • Graduated with a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field

                                                                • +
                                                                • Knowledge of common security and cryptography frameworks in the context of networking

                                                                • +
                                                                • Track record of research excellence

                                                                • +
                                                                • Good communications skills

                                                                • +
                                                                • Please include your internship availability in your application

                                                                • +
                                                                +

                                                                +

                                                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Denmark-Roskilde/Research-Scientist-Intern---PhD-Program_JR1962440,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/206569868-research-scientist-intern-phd-program-at-nvidia,,expired,2023-03-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Masters Degree,New Posting, +160f9021-b5cb-4367-9436-af87b634233a,205044403,Bell Canada,Product Manager - Artificial Intelligence,on_site,"Toronto, Ontario",2023-03-15T17:21:04.079Z,"

                                                                Req Id: 407636

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                +

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Short Description

                                                                +
                                                                +
                                                                +

                                                                Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is accountable for the successful planning, design, and implementation of Machine Learning programs and/or projects that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, IT and other Business Units to implement programs that will positively impact our operations by improving the technician/customer experience and supporting processes.

                                                                +

                                                                The AI Project Manager, Field Services must also anticipate end-to-end impacts including understanding the core of the problem we’re trying to solve, defining business requirements, quantifying financial benefits and leading change across the organization via collaboration with peers. This individual requires solid project management and problem solving skills with the ability to manage deliverable execution by leveraging standard project management concepts and tools. This individual should be eager to learn the business teams, tools and processes to better execute their program.

                                                                +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Responsibilites

                                                                +
                                                                +
                                                                  +
                                                                • Lead, plan, organize and implement the design and delivery of Field Services Machine Learning projects
                                                                • +
                                                                • Effectively engage, lead and influence cross-functional teams to deliver highest level of quality on all projects within committed timeline and scope, and meeting all project requirements and deliverables.
                                                                • +
                                                                • Develop project business case, scope, schedule & all relevant project documentation
                                                                • +
                                                                • Actively lead the creation of business cases and financial forecasts to prove the viability of new initiatives, including data collection and analysis, process mapping and redesign, and potential operational efficiencies.
                                                                • +
                                                                • Engage and build strong relationships with project sponsors and stakeholders to incorporate their goals, and instill confidence to ensure alignment to and adoption of solutions.
                                                                • +
                                                                • Work with data scientists and analyst to develop solutions that address the business problem at hand
                                                                • +
                                                                • Track project and model performance using appropriate KPIs, metrics and techniques
                                                                • +
                                                                • Own strategic initiatives that impact all of Field Services including
                                                                • +
                                                                • Establishing the process, tools, and resources required to build out the governance model of an initiative
                                                                • +
                                                                • Set the strategic vision & initiate projects that drive meaningful impacts to the business
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Critical Qualifications

                                                                +
                                                                +
                                                                  +
                                                                • A university degree in a business or technical fields such as computer science, computer engineering, commerce, business management or related field
                                                                • +
                                                                • Proven leadership and influencing skills, with the ability to get things done while managing various stakeholders
                                                                • +
                                                                • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analyses
                                                                • +
                                                                • Strong analytical skills with experience in developing & managing business requirements
                                                                • +
                                                                • Project / program management skills & experience
                                                                • +
                                                                • Familiarity with machine learning and artificial intelligence concepts
                                                                • +
                                                                • Energetic self-starter who thrives in a fast-paced environment with ability to work under pressure
                                                                • +
                                                                • Authentic, professional and confident communicator. Able to influence project teams and stakeholders through effective communication and presentation skills to all levels of the organization
                                                                • +
                                                                • Strong MS Office skills, particularly Excel and PowerPoint
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Preferred Qualifications

                                                                +
                                                                +
                                                                +
                                                                  +
                                                                • PMP, PRINCE2 or Agile certification is an asset
                                                                • +
                                                                • Field Services experience is an asset
                                                                • +
                                                                • Technical Network experience is an asset
                                                                +

                                                                #Indeed #Tech #Technology #Talent #PMP #Network #PM #ProjectManager #AI #ArtificialIntelligence #MachineLearning #ProjectManagement

                                                                +
                                                                +
                                                                +

                                                                +

                                                                #EmployeeReferralProgram

                                                                +

                                                                +

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status:
                                                                Regular - Full Time
                                                                Job Location:
                                                                Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 03/19/2023

                                                                +

                                                                +

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                +


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                +

                                                                +

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                +

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                +

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA407636EXTERNALENCA/Product-Manager-Artificial-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-03-20T17:26:03.898Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/205044403-product-manager-artificial-intelligence-at-bell-canada,BECACA407636EXTERNALENCA,expired,2023-03-15T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +5120a1ba-5c01-4d78-8730-3835db149e47,205616309,RBC,"Director, Pricing and Analytics, RBC Direct Investing",on_site,"Toronto, ON, Canada",2023-03-17T17:16:02.488Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Director, Pricing and Analytics, RBC Direct Investing

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Reporting to the AVP, eCommerce & Mobile Wallets, the Co-Op will play a key role in conducting research and analysis, contributing to the development & delivery of our strategy and KPIs and building business cases to support investment decisions.

                                                                -

                                                                Key accountabilities:

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                RBC Direct Investing is RBC’s discount brokerage offering industry-leading tools and research to help clients pick the right investments, place trades quickly and track how they are doing. As Director of Pricing and Analytics, you will lead the team responsible for designing pricing strategies and delivering deep insight to identify opportunities, deepen our understanding of client segments and develop our business strategy. You will lead a team of two and be responsible for their professional development, as well as their efforts to help us delve deeper into our portfolio and manage pricing strategies that help us to balance profitably with client acquisition.

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Support agile delivery of key eCommerce & Mobile Wallet priorities
                                                                • -
                                                                • Supports the preparation of presentation materials (e.g. new initiatives, strategy, performance).
                                                                • -
                                                                • Conducts ad-hoc reporting or analysis as required to support key initiatives.
                                                                • -
                                                                • Supports the assessment of new opportunities (e.g. financial model building & analysis, research, competitive analysis, assesses strategic alignment of initiatives).
                                                                • -
                                                                • Conducts research and analysis to stay current on emerging & competitive trends in the industry and to support ongoing initiatives.
                                                                • +
                                                                • Develop and manage pricing strategies for RBC Direct Investing
                                                                • +
                                                                • Leverage data analytics to deliver deep insights about the client base
                                                                • +
                                                                • Work with stakeholders across the business to deliver business intelligence and pricing guidance
                                                                • +
                                                                • Develop and manage key reporting for business management, sales and marketing performance and other management priorities
                                                                • +
                                                                • Lead a team of two direct reports and invest in their professional development
                                                                • +
                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                +

                                                                Must-have:

                                                                +
                                                                  +
                                                                • Undergraduate degree in business, finance, or related discipline
                                                                • +
                                                                • 5+ years of relevant experience conducting pricing analytics and managing pricing strategy or comparable analytical and strategy functions
                                                                • +
                                                                • Strong communication, negotiation and people skills
                                                                • +
                                                                • Strong understanding of financial services economics and P&L drivers
                                                                • +
                                                                • Demonstrated critical thinking capabilities
                                                                • +
                                                                +

                                                                +

                                                                Nice to have:

                                                                +
                                                                  +
                                                                • Experience in the securities industry, particularly at a discount brokerage
                                                                • +
                                                                • Proficiency with SQL, SAS or other analytical tools
                                                                • +
                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-08-08:00

                                                                Application Deadline:

                                                                2023-03-17-07:00
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000052277/Director-Pricing-and-Analytics-RBC-Direct-Investing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-21T14:50:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/205616309-director-pricing-and-analytics-rbc-direct-investing-at-rbc,,expired,2023-03-17T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +9af7b2ac-4f48-4981-b247-93216a704bea,204324013,CN,"Specialist, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.147Z,"
                                                                +

                                                                +

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The Specialist, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. Moreover, the incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                Main Responsibilities

                                                                Data Development

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                · Integrate analytics and data science results with business processes

                                                                · Promote effective data management practices

                                                                · Collaborate with Data Science, Reporting, Analytics and other Development teams to build data pipelines, infrastructure and tooling to support business initiatives

                                                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                                                Data Design

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                · Provide day-to-day support and technical expertise to both technical and
                                                                non-technical teams

                                                                · Participate in building data development expertise and framework

                                                                · Translate business needs into technical requirements

                                                                Data Operations and Quality Assurance

                                                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                · Maintain manual and automated test scripts

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                Requirements

                                                                Experience

                                                                Data Development

                                                                · Minimum 5 years overall work experience

                                                                · Minimum 3 years of experience in a Data Development role, working in different data management disciplines including data integration, modelling, optimization, and quality

                                                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                o Experience in translating business requirements into advanced data models able to fulfill Analysts and Data Scientists’ requirements

                                                                o Experience working in an Agile team environment

                                                                Education/Certification/Designation

                                                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                                                · Google or Azure Data Development certification*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                · Knowledge of Scala, Java or Python

                                                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                                                · Expertise with Databricks Delta Lake

                                                                · Knowledge of Structured Query Language (SQL) and Non-Structured Query Language (NoSQL) technologies and fluent in writing, executing, and optimizing SQL queries

                                                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10263?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:42:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204324013-specialist-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +6a8f12c2-a361-409d-8af2-69c18fdc8c8d,204324012,CN,"Expert, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.082Z,"
                                                                +

                                                                +

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Role description:

                                                                The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

                                                                Main Responsibilities:

                                                                Data Engineering

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives.

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

                                                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

                                                                · Integrate analytics and data science results with business processes.

                                                                · Promote effective data management practices.

                                                                Modernization

                                                                · Work with peers to improve architecture processes and deliverables with the trending technology.

                                                                · Participate in yearly product health assessment.

                                                                · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

                                                                Technical Leadership and Governance oversight

                                                                · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

                                                                · Ensuring Standards are being published and evangelized.

                                                                · Ensuring the Enterprise Governance principles are being applied.

                                                                Requirements

                                                                Education & Experience

                                                                · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

                                                                · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

                                                                · Minimum 2 years in a similar role.

                                                                · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

                                                                Skills/Knowledge

                                                                · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

                                                                · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

                                                                · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

                                                                · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

                                                                · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

                                                                · Comparable working experience in Azure Ecosystem will also be considered.

                                                                · Strong experience with Agile/Scrum/Safe delivery methodology.

                                                                · Strong ability to bring a complex concept to actionable architecture deliverables.

                                                                · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

                                                                · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

                                                                · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

                                                                · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

                                                                · Strong ability to lead the team on a mandate and to lead decisions.

                                                                · Ability to deliver mandate with great autonomy – self-driven.

                                                                · Excellent written and oral communication skills.

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10266?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:40:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/204324012-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +da32afe3-795a-4030-a226-6d287af9d0da,341822110,Canadian Tire Corporation,Forecast Modelling Analyst,on_site,"Ontario, Canada",2024-09-12T16:27:02.039Z,"
                                                                +

                                                                What you’ll do

                                                                +

                                                                The Forecast Modelling Analyst performs analysis and generates insights that can be integrated into key merchandising decisions (assortment selection, product forecasting and replenishment). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships, design/issue digestible reporting, and develop/optimize user tools. You will play a key role in the delivery of our advanced analytics roadmap and development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

                                                                +
                                                                  +
                                                                • Use traditional analytics and predictive/statistical modelling techniques to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impact of results

                                                                • +
                                                                • Work with the Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business intuition, explainable and efficiently integrated into processes

                                                                • +
                                                                • Design and build tools/reporting that is user friendly and actionable

                                                                • +
                                                                • Plan, track and manage multiple work requests – these initiatives can range from quick ad-hoc analysis requests, urgent system/tool support issues, or medium-scale process improvement initiatives or formal long-term project implementations

                                                                • +
                                                                • Ensure the forecasting systems, reports and EUC tools are operational and support the business processes; lead projects to implement new functionality, including automation

                                                                • +
                                                                • Act as a subject matter expert for Forecasting processes and provide expertise and direction in special projects

                                                                • +
                                                                +

                                                                +

                                                                What you bring

                                                                +
                                                                  +
                                                                • The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

                                                                • +
                                                                • 2-4 years work experience in various roles within forecasting, analytics, merchandising or supply chain.

                                                                • +
                                                                • University degree in engineering, math, computer science, statistics, business or related field.

                                                                • +
                                                                • Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights or recommendations.

                                                                • +
                                                                • Programming experience with Python, SQL, or VBA.

                                                                • +
                                                                • Advanced technical skills in Microsoft Access, Excel, Database systems.

                                                                • +
                                                                • Passion for data sciences, machine learning, and visualizations. Cloud experience is an asset.

                                                                • +
                                                                • Results-oriented, with proven project and time management skills (planning, prioritizing, executing, and tracking).

                                                                • +
                                                                • Business mindset with an understanding of the retail industry.

                                                                • +
                                                                • Effective written and verbal communication skills, including presentation abilities.

                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                  -
                                                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                                                                • -
                                                                • Strong analytical skills and strong business acumen with a proven ability to conduct research on a variety of topics, analyze financial and non-financial information and synthesize information into clear and concise analysis and recommendations.
                                                                • -
                                                                • Self-starter with an ability to deal in ambiguous situations and identify logical and feasible approaches to achieve objectives.
                                                                • -
                                                                • Strong communication and presentation skills (verbal and written).
                                                                • -
                                                                • Demonstrates strong time management and organizational skills with an ability to prioritize and manage multiple initiatives within a fast-paced and unstructured environment.
                                                                • -
                                                                • Strong attention to detail and produces high-quality deliverables.
                                                                • -
                                                                • Contributes to a positive teamwork environment that promotes collaboration, quality, innovation, and customer-focused strategic thinking.
                                                                • -
                                                                +

                                                                Hybrid

                                                                +

                                                                We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                -

                                                                Additional Information

                                                                -
                                                                  -
                                                                • Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.
                                                                • -
                                                                • This position is a 4-month work term and will commence May 1st – August 25th 2023.
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                About Us

                                                                -

                                                                Start Date

                                                                -
                                                                – Summer
                                                                +

                                                                Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                Our Commitment to Diversity, Inclusion and Belonging

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/194552839-ecommerce-and-mobile-wallets-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,expired,2023-02-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -447413c0-f08c-4d41-8d37-3001af5234d9,194556479,Shopify Inc.,Senior Data Science Manager - Pricing/Promotions,on_site,"Ontario, Canada",2023-02-09T17:42:04.751Z,"

                                                                About the role

                                                                -

                                                                We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

                                                                -

                                                                You will:

                                                                -
                                                                  -
                                                                • Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.
                                                                • -
                                                                • Lead pricing and incentive experimentation work.
                                                                • -
                                                                • Define and guide the short-term and long-term data strategy for the money service line.
                                                                • -
                                                                • Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.
                                                                • -
                                                                • Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc).
                                                                • -
                                                                • Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.
                                                                • -
                                                                • Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment.
                                                                • -
                                                                • Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.
                                                                • +

                                                                  We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                  +

                                                                  +

                                                                  Accommodations

                                                                  +

                                                                  +

                                                                  We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                  +

                                                                  +
                                                                ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Forecast-Modelling-Analyst_JR138048?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-03T08:45:02.257Z,False,0,10,40,https://talenthub.vectorinstitute.ai/jobs/341822110-forecast-modelling-analyst-at-canadian-tire-corporation,,expired,2024-09-12T16:27:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +1a3321d5-1672-4cb2-a965-6b46edc276bd,342711417,Vector Institute,Data Analytics Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.810Z,"

                                                                Data Analytics Intern

                                                                +

                                                                POSITION OVERVIEW

                                                                +

                                                                The Data Analytics Intern will have the opportunity to gain real-world experience in data analytics and database management at a leading institute. The objectives of this role are to manage and analyze data from various sources and translate large data into actionable insights to support Vector’s objectives around workforce development and research excellence. Reporting to the Data Analyst on the Research Operations & Academic Partnerships team, you will play a key role in ensuring the goals of the team relating to all data-related requests are met.

                                                                +

                                                                Start date: January 6, 2025

                                                                +

                                                                End date: April 25, 2025

                                                                +

                                                                APPLIED INTERNSHIPS AT VECTOR

                                                                +

                                                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                +

                                                                KEY RESPONSIBILITIES

                                                                +
                                                                  +
                                                                • Clean, upload, and maintain data in Google Sheets and Salesforce on a weekly basis;

                                                                • +
                                                                • Generate insightful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights using Microsoft PowerBI and/or Google Sheets;

                                                                • +
                                                                • Assist with diagnosing and maintaining Python data scraping algorithms using Github actions via Scrapy and/or BeautifulSoup;

                                                                • +
                                                                • Assisting with automation workflows where needed using Salesforce automation tools and Zapier;

                                                                • +
                                                                • Develop ad-hoc data analytics reports in Google Sheets; and,

                                                                • +
                                                                • Other duties as assigned.

                                                                -

                                                                Qualifications

                                                                +

                                                                SUCCESS MEASURES

                                                                +
                                                                  +
                                                                • A strong ETL execution for Salesforce through an integration with Google Suite and/or Microsoft Office Suite;

                                                                • +
                                                                • Analysis of trends in Ontario’s AI talent community with existing data and providing decision-making supports on engagement in AI talent community;

                                                                • +
                                                                • Reports generated on high-level insights; and,

                                                                • +
                                                                • Data visualizations/interactive dashboard created are accessible, with key outcomes highlighted, and integrated well with data inputs.

                                                                • +

                                                                -

                                                                You have:

                                                                -
                                                                  -
                                                                • Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
                                                                • -
                                                                • Experience in driving customer growth through pricing optimization and experimentation.
                                                                • +

                                                                  PROFILE OF THE IDEAL CANDIDATE

                                                                  +
                                                                    +
                                                                  • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                                                                  • +
                                                                  • You are in the second year or higher, studying at a Canadian university or college, or a recent graduate within 1 semester of graduation.

                                                                  • +
                                                                  • You have experience using Google Suite (e.g., Google Sheets, Google Drive), Excel and its advanced functions, and data visualization tools such as Power BI or Tableau.

                                                                  • +
                                                                  • You have experience managing CRM systems such as Salesforce and are able to perform Extract Transform Load (ETL) processes on large datasets.

                                                                  • +
                                                                  • You have basic proficiency with programming languages, especially Python. Experience with Scrapy/BeautifulSoup is an asset.

                                                                  • +
                                                                  • You have experience translating large datasets into actionable insights.

                                                                  • +
                                                                  • You understand the limits and constraints associated with data usage (e.g., privacy concerns, challenges associated with unstructured data or unlabelled data).

                                                                  • +
                                                                  • You are organized and efficient, with strong problem-solving skills.

                                                                  -
                                                                    -
                                                                  • Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
                                                                  • -
                                                                  • Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
                                                                  • -
                                                                  • Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
                                                                  • -
                                                                  • A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.
                                                                  • +

                                                                    +

                                                                    NICE TO HAVE

                                                                    +
                                                                      +
                                                                    • You have experience with automation tools, such as Zapier and triggered workflows in Salesforce.

                                                                    • +
                                                                    • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem.

                                                                    • +
                                                                    • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                    • +
                                                                    • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture.

                                                                    -

                                                                    It would be great if you have experience with:

                                                                    +

                                                                    Compensation: $25/hour.

                                                                    +


                                                                    +

                                                                    If you have any questions, please contact internships@vectorinstitute.ai.

                                                                    +


                                                                    +

                                                                    Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                    +

                                                                    At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                    +

                                                                    Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                                                    +

                                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508057&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,30,142,https://talenthub.vectorinstitute.ai/jobs/342711417-data-analytics-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +55336520-dc71-4fc8-9602-9e8efa13aaae,340695977,BIMCOR INC,Business Intelligence Architect/ Data Solutions Architect,on_site,"Montreal, Quebec",2024-09-04T21:25:05.542Z,"

                                                                Req Id: 420381 

                                                                 

                                                                At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

                                                                 

                                                                We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 

                                                                 

                                                                Join us. You belong at Bell. 

                                                                 

                                                                +
                                                                +
                                                                +

                                                                Summary

                                                                +
                                                                +
                                                                +

                                                                About Us: Founded in 1983, Bimcor, a wholly owned subsidiary of Bell Canada, currently manages ~$30 billion invested in a wide range of public and private financial assets, mainly on behalf of pension funds of Bell Canada and its various subsidiaries and affiliates. It ranks as one of the largest private sector pension fund managers in Canada.

                                                                +

                                                                 

                                                                +

                                                                We are seeking:

                                                                +

                                                                We are seeking a skilled Business Intelligence Architect with experience of the Microsoft Cloud Power platform and Fabric to join our team full-time and contribute to drive the architecture, design, and implementation of Power Platform solutions for our Bimcor’s stakeholders. You will play a pivotal role in ensuring the successful new integration of Power Platform services with external systems while adhering to best practices and delivering high-quality solutions. You will also contribute to our migration to the full Microsoft 365 rollout currently underway at Bimcor. We are seeking a candidate willing to play a major role in Bimcor’s new data and reporting initiatives that are currently underway.

                                                                +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Responsibilities

                                                                +
                                                                +
                                                                  +
                                                                • Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure.
                                                                • +
                                                                • Demonstrate financial market experience and collaborate with the front office team.
                                                                • +
                                                                • Design, develop and produce data models of medium to high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
                                                                • +
                                                                • Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
                                                                • +
                                                                • Create strategic dashboards and reports for key stakeholders, including Executives, Financial leaders, Operational leaders, Project/Program Managers
                                                                • +
                                                                • Collaborate with members of the development and architecture teams to deliver enterprise-grade solutions that surpass client expectations while meeting deadlines.
                                                                • +
                                                                • Train client end-users and junior members of the staff on proper Power Platform development techniques including support for application lifecycle management.
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Critical Qualifications

                                                                +
                                                                +
                                                                  +
                                                                • Bachelor’s degree in Computer Science, Information Technology, or related field.
                                                                • +
                                                                • In depth experience (5+ years) working with Power Platform services including Power Apps, Power Automate, Power BI, and Power Virtual Agents (MS Copilot) as well as DAX, Power Query and MDX.
                                                                • +
                                                                • Strong knowledge of Microsoft Azure Data Warehouse and Fabric.
                                                                • +
                                                                • Undergraduate studies in finance or accounting or equivalent and familiarity and with Financial Instruments and Interest in building knowledge in this industry.
                                                                • +
                                                                • Excellent problem-solving skills and attention to detail.
                                                                • +
                                                                • Excellent verbal and written communication skills, in English and French.
                                                                • +
                                                                +
                                                                +

                                                                 

                                                                #EmployeeReferralProgram

                                                                 

                                                                Adequate knowledge of French is required for positions in Quebec. 

                                                                 

                                                                Additional Information:

                                                                Position Type: Management 
                                                                Job Status: 
                                                                Regular - Full Time 
                                                                Job Location:
                                                                Canada : Quebec : Montreal 
                                                                Work Arrangement: Hybrid 
                                                                Application Deadline: 10/19/2024 

                                                                 

                                                                For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                                                                 

                                                                Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                                                 

                                                                We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

                                                                 

                                                                We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                                                                 

                                                                We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                                                                 

                                                                Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                                                                 

                                                                Created: Canada, QC, Montreal

                                                                 

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA420381EXTERNALENCA/Business-Intelligence-Architect-Data-Solutions-Architect?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-05T19:56:52.766Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/340695977-business-intelligence-architect-data-solutions-architect-at-bimcor-inc,BECACA420381EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +8605ec95-7e79-4611-a25c-6c74ffe03052,342742087,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2024-09-19T19:52:54.559Z,"

                                                                The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                                +

                                                                We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                                +

                                                                The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                                +

                                                                What are your main responsibilities?

                                                                  -
                                                                • Cloud platforms: Google Cloud Platform (GCP), AWS
                                                                • -
                                                                • -Large-scale data-platform tools:
                                                                    -
                                                                  • Data Storage and Access: HDFS, Presto
                                                                  • -
                                                                  • Data processing/integration: Kafka, Spark
                                                                  • -
                                                                  • Analytics Datastores: AWS Redshift, GCP BigQuery
                                                                  • -
                                                                  • Visualization: D3, Mode Analytics, Tableau
                                                                  • -
                                                                  • Programming languages: Python, Scala
                                                                  • -
                                                                  • SQL and debugging SQL queries
                                                                  • +
                                                                  • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                                  • +
                                                                  • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                                  • +
                                                                  • Go-to person for data and model delivery within Layer 6
                                                                  • +
                                                                  • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                                                                  -
                                                                • -
                                                                • -Analytical techniques:
                                                                    -
                                                                  • Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
                                                                  • -
                                                                  • Experimentation: A/B test design and analysis, quasi-experiments
                                                                  • -
                                                                  • Attribution-modeling
                                                                  • -
                                                                  • Forecasting
                                                                  • +

                                                                    +

                                                                    Required Technical Skills

                                                                    +
                                                                      +
                                                                    • BSc+ in Computer Science, Math, Physics, or similar
                                                                    • +
                                                                    • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                                    • +
                                                                    • 3+ years experience of building machine learning production system
                                                                    • +
                                                                    • Expert level skills in system design
                                                                    • +
                                                                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                    • +
                                                                    • Strong knowledge of Machine Learning and Deep Learning
                                                                    • +
                                                                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                                    • +
                                                                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                                    • +
                                                                    • Strong experience with Scala and Java 8
                                                                    - +

                                                                    +

                                                                    Nice to have Skills

                                                                    +
                                                                    • C++, Python experience
                                                                    +

                                                                    +

                                                                    Benefits

                                                                    +
                                                                      +
                                                                    • Entrepreneurial and inclusive culture
                                                                    • +
                                                                    • Excellent health coverage and pension plan
                                                                    • +
                                                                    • Four weeks paid vacation
                                                                    • +
                                                                    • Catered lunches twice a week over machine learning talks
                                                                    -

                                                                    All your information will be kept confidential according to EEO guidelines.

                                                                    -

                                                                    We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

                                                                    -
                                                                ",,https://www.shopify.com/ca/careers/senior-data-science-manager-pricing-promotions-remote-americas_af250450-f70d-440a-83f3-57d22b3ccd75,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/194556479-senior-data-science-manager-pricing-promotions-at-shopify-inc,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -2c6f00f7-18c3-44d8-99c0-7428eec8f8b7,191127454,Scotiabank,"Senior Analyst, Data and Analytics, Business Controls and Risk Management",on_site,Canada : Ontario : Toronto,2023-01-30T17:22:02.231Z,"

                                                                +

                                                                Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                                                                ",,https://layer6.ai/careers/#Sr-Machine-Learning-Product-Engineer-8211-Tech-Lead-614,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/342742087-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2024-09-19T19:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +70145fd5-e7ed-43d3-8e46-0245d547a34a,341358435,Scotiabank,Wealth Management - Data Analytics Intern/Co-op Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa,2024-09-09T16:30:05.997Z,"

                                                                -

                                                                Requisition ID: 171519

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 206596

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose

                                                                -

                                                                Contributes to the overall success of the Data Governance and Analytics team within Risk Management and Business Controls / Global Wealth Management in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -

                                                                The incumbent is responsible for the design, execution, and maintenance of reporting and analytics initiatives to meet business objectives with a primary focus mutual funds. The incumbent takes effective ownership of requests from stakeholders and ensures results generate value-added actionable insights pertaining to customer behavior, channel performance, sales productivity, and key compliance/regulatory, financial, and operational risk indicators.

                                                                -

                                                                Accountabilities

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Acts as a subject matter expert for client, transactional, and product data for assigned domains; and proactively identifies opportunities to improve reporting and/or drive the use of analytics.
                                                                • -Develops, executes, and maintains reporting dashboards
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver reporting needs.
                                                                  • Designs and maintains performance metrics for key financial, operational, and risk measures
                                                                  • Utilizes business intelligence and visualization tools to distribute reports and dashboards.
                                                                  • Maintains periodic Management and subsidiary Board reporting.
                                                                • -Leads analytics projects to identify insights to achieve business objectives and manage risks.
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver analytics projects.
                                                                  • Use statistical and data mining techniques to identify insights and make recommendations
                                                                  • Assists stakeholders in identifying and developing analytics solutions to meet business objectives.
                                                                  • Prepare and present findings to senior management.
                                                                • Builds effective working relationships within the team and with key business units and corporate functions including Compliance, Finance, IT&S, Enterprise Data Office, etc.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                                                • +

                                                                  Term: Jan – April 2025

                                                                  +

                                                                  Application Deadline: 10/18/2024

                                                                  +

                                                                  +

                                                                  There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  +

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +

                                                                  +
                                                                  • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                                                                  • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                                                                  • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                                                                  • Apply analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                                                                  • Make impact by constantly identifying and implementing process improvements
                                                                  -

                                                                  -

                                                                  Experience and Education

                                                                  -
                                                                  • Data mining skills in Python, Spark, HIVE/Hadoop and other tools (must have skills)
                                                                  • Experience with building PowerBI dashboards (must have skills)
                                                                  • Excellent analytical and problem-solving skills to synthesis and summarize large data sets gathered from multiple sources.
                                                                  • Strong communication skills (verbal and written) to present results to senior management.
                                                                  • Knowledge of the mutual fund business, distribution channels, and regulatory framework is an asset.
                                                                  • Required – University degree in Business Analytics, Statistics, Mathematics, Computer Science, or a related discipline.
                                                                  • High attention to detail to ensure data and reporting are accurate, complete, and meets stakeholder needs.
                                                                  • Requires strong collaboration with key stakeholders across SSI (includes Canadian Banking partners), Asset Management, Compliance, Finance, Data Office, and IT&S.
                                                                  • Ability to work in a cross-functional team environment and build a network of relationships across the asset management business will be critical to the success of this job.
                                                                  • +

                                                                    +

                                                                    +

                                                                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                    +

                                                                    +
                                                                    • You are currently enrolled in post-secondary education.
                                                                    • +
                                                                    +
                                                                    • You have strong written/verbal communication and project management skills.
                                                                    • +You have knowledge/experience in:
                                                                      • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                      • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                      • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                      • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                      • Visualization tools like PowerBI, Tableau or Qlikview
                                                                      • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                      • Making sense of data, creating reports, and communicating KPI’s
                                                                    • +
                                                                    +

                                                                    +

                                                                    +

                                                                    What’s in it for you?

                                                                    +

                                                                    +
                                                                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-13T17:27:03.430Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/191127454-senior-analyst-data-and-analytics-business-controls-and-risk-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,expired,2023-01-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -897350c3-94aa-47df-a116-3a77eb0a0240,191127597,TD Bank Group,Senior Quantitative Analytics Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.768Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                Credit Risk Model Group (CRMG) provides subject matter expertise and creates a broad range of quantitative and qualitative models to support business and risk decisions.
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                  -
                                                                • Participate in the development, tuning, and model documentation for new or amended Borrower Risk Rating (BRR), Facility Risk Rating (FRR), and Expected Loss (EL) models
                                                                • -
                                                                • Engage with working groups of subject matter experts to ensure that all credit risk models are current and take into account best industry practices and standards
                                                                • -
                                                                • Review and understand risk rating methodologies of public rating agencies (Moody’s, S&P, Fitch, DBRS) and identify potential gaps with internal models
                                                                • -
                                                                • Review and complete robust documentation for all models, ensuring it is up to Model Validation and Model Risk Management standards. Reports include Model Development Reports, Annual Review Templates, and others as needed
                                                                • -
                                                                • To participate in updating the Risk Analyst Peer Group database to facilitate comparative analysis on a quarterly basis
                                                                • -
                                                                • To maintain the integrity of client information in the BRR and FRR databases, and to ensure that corporate compliance requirements related to client information are maintained on an ongoing basis
                                                                • -
                                                                • To work closely with Credit Risk Policy in the launch of new initiatives or reviews, and to work extensively with TDBNA to ensure enterprise wide models are consistent cross-border
                                                                • -
                                                                • To participate in extensive testing with Corporate Segment Technology Solutions (CSTS) to ensure that models meet design specifications and are operating as expected
                                                                • -
                                                                • Create and manipulate extensive data spreadsheets for the purpose of model tuning, stress and sensitivity testing, and other model development purposes
                                                                • -
                                                                • To maintain quarterly reporting to the Executive Steering Committee, including the Model Review Calendar, and One-Time Requirement tracking list
                                                                • -
                                                                • Ensure that all model One-Time Requirements are closed by MVM on time
                                                                • -
                                                                • To participate in data mining and data cleansing as required for model validations
                                                                • -
                                                                • To participate in the model validation process as required, including providing documentation, expertise, and data for MVM
                                                                • -
                                                                • To complete ad hoc analysis in a timely manner as requested
                                                                • -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                The successful candidate is expected to have:

                                                                -
                                                                  -
                                                                • A university degree in Finance, Statistics, or a related discipline. A relevant professional designation (MBA, FRM, CFA) will be considered a plus
                                                                • -
                                                                • Strong working knowledge and 3+ years extensive hands-on experience using MS Excel, MS Access, Python, R Language and or SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling
                                                                • -
                                                                • Proficiency and extensive experience in creating and manipulating large data sets for data mining and statistical modelling from various internal and external source systems
                                                                • -
                                                                • 3+ years of progressive work experience in a commercial/corporate banking function
                                                                • -
                                                                • Working knowledge of Commercial Banking and TD Securities credit products, policies, and practices
                                                                • -
                                                                • Working knowledge of concepts and methodologies, such as non-retail credit risk scoring techniques, used in the assessment of credit risk
                                                                • -
                                                                • Working knowledge of Basel parameters (PD, LGD, EAD)
                                                                • -
                                                                • Strong problem solving skills, ability to independently identify and solve problems in an effective and timely manner
                                                                • -
                                                                • Strong communication skills (both written and oral), ability to effectively present technical, business, and project management subjects to multiple stakeholders
                                                                • +

                                                                  +

                                                                  How do I apply?

                                                                  +

                                                                  +

                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                  +
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Complete short one-way video interview here
                                                                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
                                                                  4. +
                                                                  +

                                                                  +

                                                                  **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

                                                                  +

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:19:18.732Z,False,0,7,60,https://talenthub.vectorinstitute.ai/jobs/341358435-wealth-management-data-analytics-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +5d53dac3-06a1-4f6c-bbd3-40bdd0a6ebfb,341358446,Scotiabank,GBM - Client Insights and Analytics Internship/Co-op - Fall 2025 (12 months),on_site,Canada : Ontario : Toronto,2024-09-09T16:30:07.849Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 206630

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Term: September 2025 – August 2026

                                                                +

                                                                +

                                                                Application Deadline: 16/02/2024

                                                                +

                                                                +

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                +

                                                                +

                                                                Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in 21 countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.

                                                                +

                                                                +

                                                                Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                +

                                                                +

                                                                Is this role right for you? In this role, you will:

                                                                +
                                                                • Assist our teams in report engineering, data analytics and data engineering and business relationship management.

                                                                • Work with our relationship managers for business lines including Corporate & Investment Banking, Capital Markets, Global Business Payments and International Corporate and Commercial Banking.

                                                                • Help leverage internal and external client data to facilitate opportunity identification.

                                                                • Support adoption, change management and enhancement of our CRM (client relationship management) system.

                                                                • Attend program meetings, and facilitate organization and follow-up as required.

                                                                • Carry out ad-hoc projects and tasks as required.

                                                                -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/191127597-senior-quantitative-analytics-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -47e63215-fab6-4fa6-a39e-e8adf18c5ea8,189569817,TD Bank Group,Data Analyst Associate,on_site,"Toronto, ON",2023-01-23T17:24:03.318Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                -

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                -
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                                                                -

                                                                Job responsibilities for a Data Analyst Associate may vary by area. This may include, but is not limited to the following:

                                                                -
                                                                  -
                                                                • Work with business and technology partners to define, develop and document detailed business, data and system requirements.

                                                                • -
                                                                • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

                                                                • -
                                                                • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.

                                                                • -
                                                                • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.

                                                                • -
                                                                • Based on data analysis, provide recommendations for data remediation, improvements.

                                                                • -
                                                                • Participate in program/ system research, analysis, detailed design and problem resolution.

                                                                • -
                                                                • Respond to user enquiries on data platform, in a timely manner.

                                                                • -
                                                                • Troubleshoot and determine root cause and resolution for application defects.

                                                                • -
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

                                                                • -
                                                                • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.

                                                                • -
                                                                • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

                                                                • -
                                                                • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.

                                                                • +

                                                                  +

                                                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                  +
                                                                  • You are currently enrolled in post-secondary education.

                                                                  • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                  • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

                                                                  • You are interested in or have knowledge of the capital markets and wholesale banking business.

                                                                  • You have experience working on a major project and/or initiative in a team.

                                                                  • You are comfortable dealing with ambiguity and a matrix-based environment.

                                                                  • You have excellent written and oral communication skills.

                                                                  • You have advanced experience with Excel.

                                                                  • You have experience with programming languages such as Python and C++.

                                                                  • You have considerable initiative, curiosity, creativity, and attention to detail.

                                                                  • You have a high level of energy, commitment, and a strong sense of teamwork.

                                                                  -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                  -
                                                                • Must be graduated, or graduating between May 2022 and September 2023, in Computer science, Engineering, Computing, or equivalent
                                                                • -
                                                                • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.
                                                                • -
                                                                • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.
                                                                • -
                                                                • Familiarity with Jira and Confluence.
                                                                • -
                                                                • Proficient with Excel, Visio, SQL, some reporting and analytical tools.
                                                                • -
                                                                • Understands Data Modeling concepts.
                                                                • -
                                                                • Able to manage multiple priorities and work independently, as well as part of a team.
                                                                • -
                                                                • Experience with technology project delivery and agile delivery methodology would be an asset.
                                                                • -
                                                                • Some prior experience with creating visualization such as Process and Data Flows.
                                                                • -
                                                                • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.
                                                                • -
                                                                • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.
                                                                • -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -
                                                                  -
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis

                                                                • -
                                                                • Applications must include a resume (maximum of 2 pages).

                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                                                                • +

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                  • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.

                                                                  -

                                                                  Assigned Line of Business Requirements
                                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                  -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Start Date

                                                                -
                                                                – Fall, – Spring, – Summer, – Winter
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,21,50,https://talenthub.vectorinstitute.ai/jobs/189569817-data-analyst-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -1289f1fa-24b3-4a93-9963-95f08fed3c94,188133207,Google,"Technical Solutions Developer, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-18T17:20:02.892Z,"
                                                                -
                                                                -2023-01-11T20:30:56.349Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Technical Solutions Developer, Google Cloud

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                +

                                                                +

                                                                How do I apply?

                                                                +

                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                +

                                                                +
                                                                1. Complete your PLUM Profile here and save as a screenshot.

                                                                2. Complete a short one-way video interview here.

                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                                                                4. +
                                                                +

                                                                +

                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:24:08.199Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/341358446-gbm-client-insights-and-analytics-internship-co-op-fall-2025-12-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +fe95d0ee-04ee-4118-aefc-f0ef24a1da0c,341329284,BMO Financial Group,Manager- Campaign Analytics & Execution (Private Wealth),on_site,"Ontario, Canada",2024-09-09T05:57:01.822Z,"
                                                                +

                                                                Application Deadline:

                                                                10/11/2024

                                                                +

                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Campaign Analytics and Execution role plays a pivotal role in the development and continuous improvement of revenue generating campaigns and leads programs for Private Wealth. This role will lead pre-campaign analysis, preparation and execution of lead programs, post campaign analysis and deliver results to senior leadership to determine program effectiveness. This role requires hand on experience of data ETL from multiple databases and schemas. The role also works with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools.

                                                                +

                                                                  -
                                                                • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
                                                                  -
                                                                • -
                                                                • 5 years of experience reading or debugging code in one or more of the following: Java, C, C++, Python, Shell, Perl, JavaScript.
                                                                  -
                                                                • -
                                                                • 5 years of experience with databases, data warehousing, information retrieval, or SQL.
                                                                  -
                                                                • -
                                                                • Experience troubleshooting and advocating for customer needs.
                                                                  -
                                                                • +
                                                                • Acts as a trusted advisor to Private Wealth partners on campaign development, execution, and performance monitoring of revenue generating campaigns. Independently drive leads and campaigns programs.
                                                                • +
                                                                • The role will involve end to end design, pre-sizing, development, and implementation of performance reporting for campaign owners and stakeholders. In addition, they will manage the execution, monitoring and measurement of integrated campaigns that drive results to pipeline.
                                                                • +
                                                                • Translates business needs to technical specifications and evaluates existing data visualization systems to improve them.
                                                                • +
                                                                • Develop and implement a consistent campaign plan structure that clearly articulates business priorities/vision, goals and objectives and tactical elements.
                                                                • +
                                                                • Partner with channel leads and marketing analytics to understand campaign performance data, recommend improvements and compile reporting for Marketing Business Partners to communicate with stakeholders.
                                                                • +
                                                                • Identify, implement, and standardize approaches across the campaign management related to documentation, processes and communication for continuous improvement and efficiency.
                                                                • +
                                                                • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                                                • +
                                                                • Provides value through insights, reporting and data visualization techniques. Selects, configures, and implements analytics solutions for consistency and repeatability.
                                                                • +
                                                                • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                • +
                                                                • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                • +
                                                                • Documents data flow, systems, and processes to improve the design, implementation and management of business/group processes.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently and regularly handles non-routine situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                -

                                                                Preferred qualifications:

                                                                +

                                                                +

                                                                Qualifications:

                                                                +

                                                                  -
                                                                • Experience with distributed, columnar, analytic oriented databases, or distributed data processing frameworks.
                                                                  -
                                                                • -
                                                                • Experience with machine learning technologies, including developing, training models, or implementing solutions.
                                                                  -
                                                                • -
                                                                • Experience with open source distributed storage and processing utilities in Apache Hadoop or workflow orchestration products (e.g., Apache Airflow).
                                                                  -
                                                                • -
                                                                • Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science, or other Big Data applications.
                                                                  -
                                                                • -
                                                                • Understanding of basic web technologies, Transmission Control Protocol (TCP), Integration Platform (IP) concepts, Unix, or Linux basic administration and commands.
                                                                  -
                                                                • -
                                                                • Excellent attention to detail, troubleshooting, and communication skills.
                                                                  -
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

                                                                -

                                                                Technical Solutions Developers own customer issues and provide support to other support teams. You will be a part of a Global team that provides support to help customers seamlessly switch to Google Cloud. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed coding or scripting.

                                                                -

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Manage the customers problem through effective diagnosis, resolution, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
                                                                • -
                                                                • Develop an understanding of Google product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
                                                                • -
                                                                • Act as a consultant and subject matter expert for internal stakeholders in developing, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
                                                                • -
                                                                • Work as part of a team of Developers or Consultants that globally ensure 24-hour customer support.
                                                                • -
                                                                • Understand customer issues and advocate for their needs with cross-functional teams (e.g., product, developing) to find ways to improve the product and lead high-quality production.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/120026313214829254-technical-solutions-developer-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-18T19:19:03.920Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/188133207-technical-solutions-developer-google-cloud-at-google,,expired,2023-01-18T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -8af81014-3dda-41b2-9b07-e9b3d950d1c7,197097452,BMO Financial Group,"Analyst, Customer Insights & Reporting, Summer 2023 (Co-op/Internship) 4 - Months",on_site,"Ontario, Canada",2023-02-16T17:12:02.976Z,"
                                                                -

                                                                Address:

                                                                55 Bloor Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                -
                                                                +
                                                              • 4+ years of analytics experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                              • +
                                                              • Knowledge and experience in data preparation and statistical tool such as SAS, SQL, PowerBI, Power Query, SQL, SAS, R, Python is considered an asset.
                                                              • +
                                                              • Experience in analyzing and presenting to senior team members and explaining performance metrics to non-data partners (internal or external) is considered an asset
                                                              • +
                                                              • Analytical and problem-solving skills - In-depth.
                                                              • +
                                                              • Verbal & written communication skills - In-depth.
                                                              • +
                                                              • Collaboration & team skills - In-depth.
                                                              • +
                                                              • Influence skills - In-depth.
                                                              • +
                                                              • Data modelling and data driven decision making - In-depth.
                                                              • +
                                                              • Data visualization and insights design – In-depth
                                                              • +
                                                              • Strong attention to detail
                                                              • +
                                                              • Ability to work in fast paced environment and is organized to manage multiple deliverables with tight turnaround time
                                                              • + +

                                                                +

                                                                +
                                                                +

                                                                +

                                                                Salary:

                                                                +
                                                                $68,000.00 - $126,000.00

                                                                +

                                                                Pay Type:

                                                                Salaried

                                                                +

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                +

                                                                +

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                +

                                                                +

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Campaign-Analytics---Execution--Private-Wealth-_R240022789?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-09T17:03:21.958Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/341329284-manager-campaign-analytics-execution-private-wealth-at-bmo-financial-group,,expired,2024-09-09T05:57:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +9cbf0de2-9967-4f15-ba86-e154d9794090,343661292,Thomson Reuters,Lead Software Engineer,on_site,"Ontario, Canada",2024-09-26T08:27:02.478Z,"
                                                                JOB DESCRIPTION
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Are you looking for an amazing opportunity to grow your Product Engineering career in a company with a mission to become the world’s #1 content-driven AI tech company?

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                We are seeking a talented, self-driven and highly motivated Lead Software Engineer to join the Corporates Tax and Trade team in Toronto. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of products.

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level.

                                                                +
                                                                +

                                                                +

                                                                About the Role

                                                                +

                                                                In this opportunity as Lead Software Engineer, you will:

                                                                +
                                                                • Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products.

                                                                +
                                                                • Lead the development and deployment of AI models, prioritizing efficiency, scalability, and maintainability.

                                                                +
                                                                • Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies.

                                                                +
                                                                • Participate in project/work planning sessions to analyze and understand requirements to the level of being able to contribute to their creation, in collaboration with capability/product and/or business owners.

                                                                +
                                                                • Develop and integrate applications per specification and translate technical requirements into application code and modules

                                                                +
                                                                • Approach development with a DevOps and continuous integration mindset.

                                                                +
                                                                • Ensure consistency with cloud architectural guiding principles for assigned projects

                                                                +
                                                                • Be proactive in raising problems, identifying solutions and giving/receiving feedback

                                                                +
                                                                • Assist in identifying and correcting software performance bottlenecks

                                                                +
                                                                +
                                                                +
                                                                • Work in a highly collaborative and dynamic agile team environment with multiple levels of technology staff across various geographical locations

                                                                +
                                                                • Providing technical expertise and peer code reviews to other team members and assisting team leads and project managers in work break down and story planning.

                                                                +

                                                                +

                                                                About You

                                                                +

                                                                You’re a fit for the role of Lead Software Engineer if your background includes:

                                                                +
                                                                • 7-10+ years of experience in software development.

                                                                +
                                                                • Proven track record in the development of solutions using AI and Machine Learning.

                                                                +
                                                                • Proficiency in one or more programming languages such as Python, Java, C++, JavaScript, or similar.

                                                                +
                                                                • Demonstrated ability to mentor and guide junior engineers.

                                                                +
                                                                • Strong understanding of software development principles: including design patterns, algorithms, and data structures.

                                                                +
                                                                • Experience with software development methodologies: Agile, Scrum, or similar.

                                                                +
                                                                • Familiarity with cloud technologies: AWS, Azure, GCP or similar.

                                                                +
                                                                • Knowledge of version control systems: Git or similar.

                                                                +
                                                                +
                                                                • Experience with testing and debugging tools.

                                                                -

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                +

                                                                #LI-LP2

                                                                +
                                                                +

                                                                -

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                -
                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +

                                                                What\'s in it For You?
                                                                You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                  -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • -
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • -
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • -
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • -
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • -
                                                                • Verbal & written communication skills - In-depth.
                                                                • -
                                                                • Collaboration & team skills - In-depth.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth.
                                                                • -
                                                                • Influence skills - In-depth.
                                                                • -
                                                                • Data driven decision making - In-depth.
                                                                • +
                                                                • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                • +
                                                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                • +
                                                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                • +
                                                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                • +
                                                                • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                • +
                                                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                +

                                                                -

                                                                We’re here to help

                                                                +

                                                                +

                                                                +


                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                +

                                                                +

                                                                We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                +

                                                                +

                                                                Accessibility

                                                                +

                                                                +

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                +

                                                                +

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                +

                                                                +

                                                                +

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                +

                                                                +

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                +
                                                                ",,https://careers.thomsonreuters.com/us/en/job/JREQ182488/Lead-Software-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-10T08:32:02.891Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/343661292-lead-software-engineer-at-thomson-reuters,,expired,2024-09-26T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +ecb18de2-af6e-473c-97dd-0b961bb0b0c0,344243205,Accenture,Data Lead,on_site,"Toronto, ON, Canada",2024-09-30T08:44:01.916Z,"
                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                We are:
                                                                Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds.

                                                                +


                                                                You are:
                                                                A hands-on Solution Architect who knows how to develop, design, and maintain technologies that work for our clients. You are a next-generation thinker when it comes to what we call Data in the New. Your superpower Using the latest data and analytics technologies to help clients glean the most value from their data. And you know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. You’re a digital native who’s right at home when the challenge calls for teamwork and originality.

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                What You’ll Do:

                                                                +
                                                                  +
                                                                • Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes
                                                                • +
                                                                • Design and build robust data pipelines using scalable tools and techniques (yes, we’re talking big data) to produce high quality data structures
                                                                • +
                                                                • +Design data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholder.
                                                                • +
                                                                • Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks
                                                                • +
                                                                • Increase automation and scaling of complex data sets based on the customer’s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations
                                                                • +
                                                                show more show less
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +
                                                                +

                                                                What You’ll Need:

                                                                +
                                                                • Minimum 8 years of experience in Technology Delivery and Architecture
                                                                • Minimum 5 years of experience delivering Data & Analytics solutions on Azure/ AWS, with expertise in Azure/ AWS data services, ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS, AWS Redshift, AWS CloudFront, or Google
                                                                • Minimum 3 years of experience developing Data Platforms on Spark/Hadoop, ETL, Data Analytics Cloud Native Data Services
                                                                • Experience developing or migrating Spark workloads
                                                                • Strong hands-on experience in building data pipelines e.g. Spark, Kafka
                                                                • +

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement

                                                                +


                                                                Bonus Points:

                                                                +
                                                                • Previous consulting or client service delivery experience.
                                                                • +
                                                                +
                                                                • Effective and persuasive in both written and oral communication.
                                                                • +

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                                                +

                                                                Information on benefits is here.

                                                                +

                                                                Role Location Annual Salary Range

                                                                +

                                                                British Columbia $89,500 to $204,100

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Insights---Reporting--Summer-2023--Co-op-Internship--4---Months_R220031435-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/197097452-analyst-customer-insights-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-02-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -32daba03-986d-450c-8e0c-65b13584bb6f,196077755,Scotiabank,Manager - Fraud Analytics,on_site,Canada : Ontario : North York,2023-02-13T17:22:02.569Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 173436

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                #LI-NA
                                                                #LI-MP

                                                                +
                                                                +

                                                                Locations

                                                                +
                                                                Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto
                                                                +
                                                                +
                                                                +

                                                                +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                                                +
                                                                +

                                                                Our Commitment to Inclusion & Diversity

                                                                +

                                                                At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                                +

                                                                Requesting An Accommodation

                                                                +

                                                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                +

                                                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                                +

                                                                Other Employment Statements

                                                                +

                                                                It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                                +

                                                                Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                                +
                                                                +
                                                                +
                                                                Share
                                                                +
                                                                Share
                                                                +
                                                                Job Link:
                                                                Copy
                                                                +
                                                                +
                                                                +
                                                                +
                                                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00225550_en&title=Data%20Lead,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-10T08:49:02.488Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/344243205-data-lead-at-accenture,,expired,2024-09-30T08:44:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +8fef5f7c-3623-407d-b6e0-b9bf150aa383,277326466,TELUS,Technology Architect - Responsible AI,on_site,"Ontario, Canada",2023-10-06T12:30:01.802Z,"
                                                                +
                                                                +

                                                                +

                                                                -

                                                                Purpose

                                                                +

                                                                Join our team and what we’ll accomplish together

                                                                -

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Technology Architect, Responsible AI, reporting to the Director of Data Ethics, you will work with a cross-functional group focused on enabling a framework for responsible use of artificial intelligence (Ai) and guide the development of AI, data-driven products and services in accordance with ethical principles.

                                                                -

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                +

                                                                You will be a champion for responsible AI across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to responsible AI will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data. This will help our business to implement AI solutions that not only perform well, but also operate ethically and responsibly, benefiting society as a whole.

                                                                -

                                                                Accountabilities

                                                                +

                                                                What you’ll do

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                    +
                                                                  • Collaborating with cross-functional teams to develop and implement AI solutions in accordance with the TELUS’ Trust Model and data ethics framework
                                                                  • +
                                                                  • Advising on how responsible AI can serve as an enabler for business program operations and assist with the deployment of responsible AI across the organization
                                                                  • +
                                                                  • Developing and implementing testing and validation protocols to ensure AI systems are working as intended
                                                                  • +
                                                                  • Conducting research and staying up-to-date with the latest developments in AI ethics and responsible AI practices
                                                                  • +
                                                                  • Supporting the development of a TELUS’ framework for responsible AI in line with emerging leading practices
                                                                  • +
                                                                  • Integrating responsible AI into processes to support agile development methodology
                                                                  • +
                                                                  • Educating and advising business units on existing or new techniques, and providing innovative strategies and creative solutions to implement responsible AI
                                                                  • +
                                                                  • Participating in industry-wide efforts to advance responsible AI practices and standards

                                                                  +
                                                                +
                                                                +
                                                                +

                                                                +

                                                                -

                                                                Education / Experience

                                                                -

                                                                -
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • -
                                                                +

                                                                What you bring

                                                                -

                                                                Location(s): Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-20T17:27:02.981Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/196077755-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,expired,2023-02-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a8599da7-e9a6-4434-89f2-73e39078d2d3,194550476,BMO Financial Group,Junior Analyst - Summer 2023 (Co-op/Intern) - 4 Months,on_site,"Ontario, Canada",2023-02-09T17:12:02.960Z,"
                                                                -

                                                                Address:

                                                                33 Dundas Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -
                                                                -
                                                                -
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                -
                                                                -

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                -

                                                                -

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                -

                                                                -

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                -
                                                                -
                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • -
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • -
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • -
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • As a co-op/intern student at BMO, our focus would be on your potential for learning, and your desire to contribute to the team in any way you can. Your attitude and commitment are more important than past knowledge and experience.

                                                                • -
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • -
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • -
                                                                • Verbal & written communication skills - In-depth.
                                                                • -
                                                                • Collaboration & team skills - In-depth.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth.
                                                                • -
                                                                • Influence skills - In-depth.
                                                                • -
                                                                • Data driven decision making - In-depth.
                                                                • +
                                                                • Demonstrated track record of providing subject matter expertise embedding responsible AI into product and services while delivering on measurable outcomes in a highly complex stakeholder environment
                                                                • +
                                                                • Demonstrated working knowledge or understanding of responsible AI fundamentals (e.g. differential privacy, federated learning, adversarial testing, etc.) and machine learning pipelines
                                                                • +
                                                                • Familiarity with statistics, algorithms, and machine learning tools to analyze and evaluate fair and ethical AI, including generative AI
                                                                • +
                                                                • Passionate about responsible AI and the imperative to use data to solve big and small problems
                                                                • +
                                                                • Keen to explore new and creative solutions to change the trajectory of persistent challenges and motivated to bring those solutions to life
                                                                • +
                                                                • Appreciated for your excellent interpersonal and problem solving skills, and your ability to distill complex and/or ambiguous problems into clear, actionable requirements
                                                                • +
                                                                • Known for your ability to influence and negotiate effectively, to be a persuasive advocate, and known for your conflict resolution skills with a focus on win-win solutions
                                                                • +
                                                                • Sought out for excellent communication skills, verbal & written, with the ability to present information at all levels of the organization and leadership forums
                                                                • +
                                                                • 3-5 years experience in responsible AI
                                                                • +
                                                                • Post-secondary degree in computer science, computer engineering, information systems, ethics, or related field of study
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Junior-Analyst---Summer-2023--Co-op-Intern----4-Months_R230002649?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/194550476-junior-analyst-summer-2023-co-op-intern-4-months-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -50762f5c-9196-4b67-ad07-7625aa5ee7d8,214825251,Scotiabank,Senior Data Engineer - 8 Month Contract - CID&A,on_site,Canada : Ontario : Toronto,2023-04-13T17:22:02.754Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 174905

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose:

                                                                +

                                                                Great-to-haves

                                                                -

                                                                The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                                                -

                                                                We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                                                -


                                                                Accountabilities:

                                                                -


                                                                • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                                                • Partner with advanced analytics teams to build powerful data assets and processes
                                                                • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                                • Build automated data management and data quality capabilities into projects
                                                                • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                                                • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                                                • Experiment & learn!

                                                                -


                                                                Qualifications:

                                                                -


                                                                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                                                • Experience in finance is an asset
                                                                • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                                                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                                                • Experience with visualization tools an asset: Power BI/Tableau
                                                                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                                                • High aptitude for diving in and picking up new technologies as required
                                                                • Eligible to work in Canada

                                                                +
                                                                  +
                                                                • Experience with the development, design, and architecture of IT technology, data management, and data integration processes
                                                                • +
                                                                • Experience with design for software applications running on multiple platforms
                                                                • +
                                                                • Experience with web architecture and the privacy and security model of the web
                                                                • +
                                                                • Bilingual in French & English, verbal and/or written
                                                                • +
                                                                • Certification in Privacy (e.g., CDPSE, CIPT, CIPM, CIPP certification)
                                                                • +

                                                                +

                                                                Location: Any major Canadian city

                                                                +

                                                                DTOJOBS2023

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-17T17:27:04.728Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/214825251-senior-data-engineer-8-month-contract-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d80fa043-ac92-4389-acba-1aabe61b5321,212880719,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-04-06T17:24:03.806Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Technology-Architect-Responsible-AI-ON/573632817/,feed-importer@jobboard.io,,,,2023-10-24T01:55:00.000Z,False,0,1,37,https://talenthub.vectorinstitute.ai/jobs/277326466-technology-architect-responsible-ai-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +769dee02-292a-4cfc-b902-d14b4082fcb0,281692317,RBC,"Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)",on_site,"Toronto, ON, Canada",2023-10-19T12:21:01.798Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                In the role of Senior Analyst, Strategic Analytics, you will be responsible for evolving Mydoh\'s data landscape; and developing business performance dashboards and assisting in developing strategies to identify opportunities solutions to support growth and transformation.

                                                                -

                                                                Department Overview

                                                                -
                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role

                                                                -

                                                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                -

                                                                As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                                • -
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • -
                                                                • Develop powerful business insights from segmentation, risk, and performance data
                                                                • -
                                                                • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                                                                • -
                                                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                                • -
                                                                • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
                                                                • -
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • -
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • -
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                • Establish credibility by quickly acquiring and demonstrating subject matter expertise and deep knowledge in Mydoh

                                                                • +
                                                                • Drive future state reporting and Advanced Analytics to enable a fact base strategy utilizing internal and external data and insight

                                                                • +
                                                                • Drive insight from Mydoh data and competitive landscape in terms of what the data is telling up and what we need to do accordingly

                                                                • +
                                                                • Evolve Mydoh data landscape by implementing core data capabilities to enable private banking growth strategy leveraging modern data architecture and technologies

                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD?

                                                                -

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                  -
                                                                • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                                                • -
                                                                • Up to 7 years’ experience of working in analytical environments
                                                                • -
                                                                • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                                                                • -
                                                                • Expertise in analytical tools such as SAS
                                                                • -
                                                                • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                                                • -
                                                                • Experience with Git
                                                                • -
                                                                • Experience with relational databases and usage of SQL
                                                                • -
                                                                • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                                                • -
                                                                • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                                                • -
                                                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                                                • -
                                                                • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                                                • +
                                                                • 2+ years of relevant experience in an analytical function

                                                                • +
                                                                • Nimble with SQL for querying and joining large datasets and/or creating reports

                                                                • +
                                                                • Experience communicating analytics results back to business partners and/or C-level: handling objections, proven experience on influencing driving data-driven strategy is a big plus.

                                                                • +
                                                                • Demonstrates innate curiosity and an ability to develop innovative solutions

                                                                • +
                                                                • An eager listener and a team player who is comfortable forming cross functional relationships with our partners, has proven experience of forming and managing these relationships, and is passionate about developing peers, winning as a team, and providing constructive feedback where and when needed

                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid #datascientist

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-17T22:12:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/212880719-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -9214a514-068a-4aae-8c8c-854a47a024df,207767102,OMERS,Business Intelligence Specialist 6-month Contract,on_site,"Ontario, Canada",2023-03-23T17:42:03.813Z,"
                                                                -

                                                                Why join us?

                                                                -

                                                                -

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                As a key member of the Enterprise Data and Advanced Analytics team, the role of BI Specialist is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end to end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.
                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                +

                                                                Nice-to-have

                                                                  -
                                                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                                                • -
                                                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                                                • -
                                                                • Building professional growth by actively acquiring predictive modelling and programming skills
                                                                • -
                                                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                                                • -
                                                                • Facilitating workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                                                • -
                                                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates
                                                                • -
                                                                • Facilitating collaboration and promoting best practices of building BI and analytical solutions
                                                                • -
                                                                • Broadening the reach of Power BI through providing Dashboard in a Day and other Power Platform workshops at Enterprise level
                                                                • -
                                                                • Helping instill a product mindset in the team and presenting and communicating analytics centric solutions to stakeholders and the immediate team
                                                                • -
                                                                • Operating in an Agile development environment
                                                                • -
                                                                • Managing change and communicating impacts to stakeholders and fellow team members
                                                                • -
                                                                • Provisioning and resource management of Premium Capacity
                                                                • -
                                                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                                                • -
                                                                • Usage Monitoring and Auditing
                                                                • +
                                                                • Experience publishing reports/dashboards, and visualizations with Tableau is a big plus.

                                                                • +
                                                                • University degree in a quantitative field of study (e.g., statistics, economics, business analytics)

                                                                -

                                                                To succeed in this role, you have:

                                                                -

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • Bachelor’s degree in information systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with two (2) + years of experience
                                                                • -
                                                                • Excellent data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                                                • -
                                                                • Experience and proficiency in SQL scripting and Azure is a must
                                                                • -
                                                                • Experience and proficiency with an additional programming language such as Python is an asset
                                                                • -
                                                                • Knowledge or experience of machine learning and data science is a plus
                                                                • -
                                                                • Depth of Power BI experience wrangling complex data using M functions and developing sophisticated semantic logic using DAX expressions will be thoroughly tested and is required
                                                                • -
                                                                • Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI
                                                                • -
                                                                • Ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and other community publications is required
                                                                • -
                                                                • Proven track record of building deep technical relationships. Experience in aligning expectations across various stakeholders
                                                                • -
                                                                • Able to trace data lineage and resolve technical issues with minimal supervision
                                                                • -
                                                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • +
                                                                • Ability to make a difference and lasting impact

                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • +
                                                                • Opportunities to do challenging work

                                                                +

                                                                +

                                                                RBCX

                                                                +

                                                                VSANALYTICS

                                                                +

                                                                #LI-POST

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                20 KING ST W:TORONTO

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-07-26

                                                                Application Deadline:

                                                                2023-10-23
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000064494/Senior-Analyst-Strategic-Analytics-RBCx-Ventures-Mydoh,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-24T01:55:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/281692317-senior-analyst-strategic-analytics-rbcx-ventures-mydoh-at-rbc,,expired,2023-10-19T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +18a1473d-c034-41be-96d3-133441149d18,279168708,RBC,"Director, AML Analytics",on_site,"Toronto, ON, Canada",2023-10-12T12:21:01.797Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Director, AML Analytics

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                As the Director, AML Analytics you are responsible for developing and maintaining sophisticated anti-money laundering (AML) models to detect and prevent financial crimes within our organization. This is transformational role that arises from two emerging trends in anti-financial crime programs: the propagation of data / analytics capabilities used to detect financial crime and the need to identify increasingly complex-organized money laundering operations. The Director, AML Analytics will work with AML Insight and Analytics, the AML Transformation Office and the AML Financial Intelligence Unit to build and deliver leading edge analytic detection and investigative capabilities.

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Business-Intelligence-Specialist-6-month-Contract_JR-4735-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/207767102-business-intelligence-specialist-6-month-contract-at-omers,,expired,2023-03-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -854cd811-4d6e-40bf-8eb6-a319b492c5a0,210223739,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2023-03-30T17:42:05.608Z,"
                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Develop and maintain anti-money laundering (AML) models to detect financial crimes.
                                                                • +
                                                                • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
                                                                • +
                                                                • Apply sophisticated modelling techniques, including graph and machine learning analytics, to develop and implement components of the AML Investigator of the Future platform.
                                                                • +
                                                                • Establish a development roadmap for network risk scoring (batch and dynamic) by defining the prevalent features that will be integrated into the monitoring program and used in the course of an investigation.
                                                                • +
                                                                • Conduct data exploration and cleansing to ensure high-quality data for model development and validation.
                                                                • +
                                                                • Identify opportunities to streamline or automate processes to promote efficient and effective use of resources.
                                                                • +
                                                                • Implement and optimize scoring algorithms, decision trees, rule-based systems, and anomaly detection techniques.
                                                                • +
                                                                • Monitor model performance, identify issues, and propose solutions for continuous improvement and accuracy.
                                                                • +
                                                                • Conduct thorough testing and documentation of developed models, adhering to regulatory compliance standards.
                                                                • +
                                                                • Stay up to date with industry best practices, emerging trends, and regulatory changes in AML and predicate offense detection.
                                                                • +
                                                                • Collaborate with Compliance and Risk teams to address AML-related issues and provide technical expertise.
                                                                • +
                                                                • Participate in model validation exercises, including stakeholder engagement, analysis, and reporting.
                                                                • +

                                                                -

                                                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                                                Main Responsibilities

                                                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment

                                                                · Drive continuous improvement by identifying opportunities and leading projects

                                                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                                                Advance Analytics

                                                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                                                · Apply statistical and machine learning knowledge to specific business problems and data

                                                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                                                Requirements

                                                                Experience

                                                                Research and Data Modelling

                                                                · Between 2 to 5 years of experience in research and advanced data modeling

                                                                o Between 2 to 5 years of experience in a large-scale operation and logistics environment

                                                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                                                o Experience with warehouse management, transportation, and planning systems*

                                                                o Experience with technology and operation automation projects*

                                                                o Experience in applied research in areas relevant to AI *

                                                                o Experience with Machine Learning algorithms*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management*

                                                                · Bachelor’s Degree in Operation Research*

                                                                · Master’s Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Applies critical thinking

                                                                · Sets direction and inspires others

                                                                · Collaborates with others and shares information

                                                                · Solves problems to create value

                                                                · Demonstrates agility and drives change

                                                                · Knows the business and stays current on industry needs

                                                                · Fluently bilingual both written and verbal (English, French)*

                                                                *Any skills/attributes for these above would be considered as an asset

                                                                Technical Skills/Knowledge

                                                                · Project and time management*

                                                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                +

                                                                What do you need to succeed?

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10622?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,9,41,https://talenthub.vectorinstitute.ai/jobs/210223739-analyst-advance-analytics-at-cn,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -8d31cbe0-6ad8-4a48-aa38-60449cc5557b,207765957,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:27:01.978Z,"
                                                                -

                                                                What’s the opportunity?

                                                                -

                                                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                                                -

                                                                Your responsibilities include:

                                                                +

                                                                Must-have

                                                                  -
                                                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                                                • -
                                                                • Designing and building data pipelines for Borealis AI projects;
                                                                • -
                                                                • Building efficient data systems and abstractions for Borealis AI projects;
                                                                • -
                                                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                                                • +
                                                                • Experience with AML or fraud modeling and investigation environments that utilize detection / predictive models

                                                                • +
                                                                • Programming experience ideally using an object oriented programing language such as Java, Scala (ideally), R or Python.

                                                                • +
                                                                • Minimum of 5 years of experience leading a data science or analytics team

                                                                • +
                                                                • Agile development methodology

                                                                • +
                                                                • Statistical approaches and methods and their application on projects

                                                                • +
                                                                • Post-secondary education or equivalent.

                                                                -

                                                                You’re our ideal candidate if you:

                                                                +

                                                                +

                                                                Nice-to-have

                                                                  -
                                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                                                • -
                                                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                                                • -
                                                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                                                • -
                                                                • Strong enterprise experience with data systems and infrastructure at scale;
                                                                • -
                                                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                                                • -
                                                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                                                • -
                                                                • Strong communication skills and a collaborative attitude;
                                                                • -
                                                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                                                • +
                                                                • Graduate degree (MBA or relevant subject matter area)

                                                                • +
                                                                • Data mapping, meaning of relational data and object orientation.

                                                                • +
                                                                • Understands projects needs and can translate into detection models and capabilities.

                                                                • +
                                                                • Model documentation, ideally AML model governance

                                                                -

                                                                What’s in it for you?

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • +
                                                                • Ability to make a difference and lasting impact

                                                                • +
                                                                • Flexible work/life balance options

                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • +
                                                                • Opportunities to do challenging work

                                                                -

                                                                About Borealis AI

                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                -

                                                                -
                                                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-22T19:50:03.125Z,False,0,9,56,https://talenthub.vectorinstitute.ai/jobs/207765957-data-engineer-at-borealis-ai,,expired,2023-03-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -8ba83865-0de7-4de5-9605-a537e55b93f3,207764702,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:03.232Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                -

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                -
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                -

                                                                About this Role

                                                                -

                                                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                -

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                -

                                                                -

                                                                As the Manager, Analytics & Insights you will:

                                                                -
                                                                  -
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • -
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • -
                                                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                                • -
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                                • -
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • -
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • -
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • -
                                                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                                • -
                                                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                                • -
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • -
                                                                • Set operational team direction, working in partnership to execute on common goals
                                                                • -
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • -
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • -
                                                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • -
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • -
                                                                • Support execution with excellence on key initiatives/programs
                                                                • -
                                                                • Design effective test and learn for various programs or scenarios
                                                                • -
                                                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                                • -
                                                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                                • -
                                                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD?
                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                                  -
                                                                • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                                                                • -
                                                                • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                                                                • -
                                                                • Extensive experience using SQL, Python and Tableau
                                                                • -
                                                                • Experience with Adobe Analytics
                                                                • -
                                                                • Great communication skills to manage relation with stakeholders.
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                -

                                                                -

                                                                Flexible Work Options

                                                                -
                                                                N/A
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-22T19:47:14.933Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/207764702-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e6c3c2d9-db72-4cf8-ba18-e2046af746d4,226984830,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-05-18T16:04:02.078Z,"
                                                                -
                                                                -

                                                                Role Summary

                                                                -
                                                                -

                                                                Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

                                                                -

                                                                **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Key Responsibilities

                                                                -
                                                                -

                                                                We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

                                                                -
                                                                • Managing code deployments, fixes, updates and related processes
                                                                • Support multiple on-going projects in a fast-paced environment
                                                                • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
                                                                • Creating IoT applications that run on-premise and in the cloud
                                                                • Brainstorming for new ideas and ways to improve development and delivery
                                                                • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
                                                                • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
                                                                • Working with source control tools (Confluence, GitHub, etc.)
                                                                • Actively troubleshooting any issues that arise during testing and production
                                                                • Performing additional duties as assigned
                                                                • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Key Qualifications/Requirements

                                                                -
                                                                -


                                                                KEY QUALIFICATIONS/REQUIREMENTS:

                                                                -
                                                                • Degree/Diploma in Computer Science or related field of study
                                                                • Minimum six plus (6+) years of related experience required
                                                                • Strong knowledge of Industry 4.0 integration
                                                                • Proven leader
                                                                • -
                                                                -

                                                                -

                                                                POSITION REQUIREMENTS:

                                                                -
                                                                • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
                                                                • Experience with databases and different types of data storage
                                                                • Strong experience with relational databases like SQL Server, MySQL and Oracle
                                                                • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
                                                                • Experience with the MQTT protocol
                                                                • Time and project management skills, with the capability to prioritize and multitask as needed
                                                                • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
                                                                • Knowledge of different project management methodologies such as Waterfall and Agile
                                                                • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
                                                                • Strong analytical and problem-solving ability to design an effective solution
                                                                • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
                                                                • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                What Heart Lake Offers

                                                                -
                                                                • Weekly pay via direct deposit
                                                                • Overtime after 40 hours worked
                                                                • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
                                                                • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
                                                                • Profit sharing
                                                                • Matched GRRSP
                                                                • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
                                                                • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
                                                                • Company paid uniforms
                                                                • Company BBQ, holiday parties and company events
                                                                • Corporate Social Responsibility initiatives
                                                                • Annual Employee Opinion Survey
                                                                • Magna Service Award Program
                                                                • Magna Scholarship Program
                                                                • Group Rogers and Bell cellphone data plan available
                                                                • Subsidized cafeteria
                                                                • Educational Assistance Program
                                                                • Employee Discounts: new vehicles, amusement parks, etc.
                                                                • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Additional Information

                                                                -

                                                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                -
                                                                -
                                                                -

                                                                Awareness. Unity. Empowerment.

                                                                -

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                -
                                                                -
                                                                ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-18T02:04:48.720Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/226984830-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,expired,2023-05-18T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -a376ed7f-4367-4b4a-943c-900b7b5acd9e,296509060,TD Bank Group,Manager BI & Reporting II,on_site,"Toronto, ON",2023-12-21T16:28:02.007Z,"
                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                20 KING ST W:TORONTO

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-10-11

                                                                Application Deadline:

                                                                2023-10-26
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000069614/Director-AML-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-26T20:28:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/279168708-director-aml-analytics-at-rbc,,expired,2023-10-12T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +0a49c277-6f79-4216-b979-53828313475f,263354232,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-08-24T16:23:02.751Z,"

                                                                Hours

                                                                37.5

                                                                @@ -44823,42 +44549,71 @@ a376ed7f-4367-4b4a-943c-900b7b5acd9e,296509060,TD Bank Group,Manager BI & Report

                                                                Department Overview

                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                -

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                -

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                -

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                +

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                +

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                Job Details

                                                                -

                                                                Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                -

                                                                Sound good so far? Fantastic! We are looking for an experienced people manager and authority to lead a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help build complex reporting and business intelligence reports and solutions to help better inform key business decisions and instill industry gold standard methodologies.

                                                                -

                                                                As Manager II, Business Intelligence & Reporting, you will:

                                                                -
                                                                  -
                                                                • Lead and execute data/business analysis using various internal data sources to support the understanding of customers, business drivers and financial results
                                                                • -
                                                                • Support all relevant projects and initiatives to ensure project data and reporting requirements are met
                                                                • -
                                                                • Work in a consultative role to provide valuable insights in the form of analysis, interpretation and, advice
                                                                • -
                                                                • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                                • -
                                                                • Create and maintain detailed documentation on all projects/requests
                                                                • -
                                                                • Ensure all projects are delivered according to department standards and guidelines
                                                                • -
                                                                • Manage and resource pipelines to ensure projects and initiatives are completed on time/within budget within priority order (as set by regulatory deadlines, business strategy, etc.)
                                                                • -
                                                                • Manage relationships with key partners to ensure advance notification of upcoming projects, data requests and more
                                                                • -
                                                                • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
                                                                • -
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • -
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • -
                                                                • Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
                                                                • -
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
                                                                • -
                                                                +

                                                                About this Role

                                                                +

                                                                You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                                                +

                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                +

                                                                As a Data Scientist I, you will be supporting Financial Reporting Control(FRC) Data & Analytics function to deliver:

                                                                +
                                                                1.CCOA and Attestation Dashboard Maintenance and Development
                                                                +
                                                                §Quality checks, data integration and refresh of various reports used for policy governance.
                                                                +
                                                                §Undertake additional analysis related to exceptions and trends – produce governance and exception reporting e.g., significant period over period changes, analyze QoQ changes in attestations, etc.
                                                                +
                                                                §Create reports for FRC’s oversight and monitoring mandate including business rules & data lineage for various reports, reports for submission to Internal Audit for remediation testing, progress updates for Project Lotus, etc.
                                                                +
                                                                §Add and operationalize incremental metrics related to new policy requirements, monitoring and oversight.
                                                                +
                                                                2.Operationalization of Chart of Accounts Policy (CCOA Policy)
                                                                +
                                                                §Ongoing development and enhancements to key metrics and KPIs to monitor policy compliance
                                                                +
                                                                §Assist to remediate gaps identified in chart of accounts governance and end-to-end oversight control
                                                                +
                                                                §Support implementation of controls and monitoring for CCoA Policy implementation e.g.,
                                                                +
                                                                Tracking of newly opened GL accounts & dimensions, oversight of dynamically open accounts by business segment & source
                                                                +
                                                                Tracking of closed, deleted & purged account in various GL systems
                                                                +
                                                                Development & operationalization of new oversight metrics
                                                                +
                                                                +
                                                                3.Ongoing daily support (examples below)
                                                                +
                                                                §Support FRC in its ongoing oversight mandate for various control & oversight activities as required – example include completeness checks at quarter ends, exceptions reporting, variance root cause analysis etc.
                                                                +
                                                                §Defining target audience for training based on mandatory roles and nominations from various teams. Extract details like emails and ACF2’s
                                                                +
                                                                §Tracking registrations, attendance and pending to date. Manage module in dashboard on trainings assignments and completeness
                                                                +
                                                                §Others ad hoc support examples include
                                                                +
                                                                Work with different teams on identifying Transit/Suspense/Cash account
                                                                +
                                                                Support ARCs discussions & requirements and reviewing new logic for ARCS data feed
                                                                +
                                                                +Support FRC on Business segment breakdown
                                                                +
                                                                4.Support Future Ongoing Enhancements
                                                                +
                                                                §Re-configure to ARCs : Data engineering and platform update to switch attestation & reconciliation data from current tools (ACATT, Trintech) to ARCs
                                                                +
                                                                §Move to Cloud : Migration to Akora on Cloud from Akora on Prem
                                                                +
                                                                §Automation :
                                                                +
                                                                Efforts to automate parts of data sourcing & ingestion (as feasible)
                                                                +
                                                                Enhancing data source to minimize sideloading process (onboard data to Akora)
                                                                +

                                                                Job Requirements

                                                                -

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Seven (7) or more years relevant experience
                                                                • -
                                                                • People Management experience will be considered as an asset.
                                                                • -
                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Advanced Big Data Processing

                                                                +
                                                                §Advanced coding in data processing tools like Python, PySpark, Databrick.
                                                                +
                                                                §Perform activities like data modeling, integrating files, record roll-up & attribution, deriving analytical attributes etc.
                                                                +
                                                                +§Link big data platform to BI tools using data connectors

                                                                +
                                                                Advanced Tableau
                                                                +
                                                                §Developing new views – ability to design & develop complex views & metrics
                                                                +
                                                                §Updating existing views – update parameters, refresh data to update existing modules, perform QC, optimize load time
                                                                +
                                                                +Business Knowledge

                                                                +
                                                                §Good understanding of General Ledgers & Accounting, Governance & Controls and associated data structures
                                                                +
                                                                §Familiarity with Attestation & Reconciliation processes & tools
                                                                +
                                                                §Knowledge of key terms & KPI’s related to policy, controls, governance and oversight activities & processes
                                                                +

                                                                Project Management

                                                                +
                                                                §Ability to understand metrics & validate with business partners, conduct Demos to gather feedback
                                                                +
                                                                §Maintaining various mapping files and prepare & prioritize backlog for platform enhancements & any fixes
                                                                +
                                                                §Documentation Skills like drafting Technical Documentation, Business & System Requirements, PowerPoints
                                                                +
                                                                §Perform data QC & completeness checks and undertake root-cause analysis in cause of any discrepancies
                                                                +
                                                                +

                                                                Company Overview

                                                                @@ -44878,224 +44633,199 @@ a376ed7f-4367-4b4a-943c-900b7b5acd9e,296509060,TD Bank Group,Manager BI & Report

                                                                We look forward to hearing from you!

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-04T16:33:16.385Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/296509060-manager-bi-reporting-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,expired,2023-12-21T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bb7fbd7a-9741-4adf-b788-4a9d10f9d1df,298777358,OMERS,"Data Analyst, Pension Insights",on_site,"Ontario, Canada",2024-01-04T06:45:01.826Z,"
                                                                -

                                                                Why join us?

                                                                -

                                                                -

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                Why join us?

                                                                -

                                                                -

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                -

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                We are looking for a highly motivated Pensions Analyst to join our Pensions Data Team in Toronto. You will be part of a growing data-driven product development team striving to transform OMERS employees, members, employers and stakeholders experiences through the deployment of high-quality data products and visualizations. We are striving to provide information and actionable insights to improve experiences for members, stakeholders, employers and OMERS teams.

                                                                -

                                                                -

                                                                The Pensions Data Team is an exciting new team focused on leveraging the newest technologies and approaches to deliver solutions and systems for the modern-day end user. Our primary focus and commitment is to provide real value through high-quality information and actionable data-driven insights. We encourage innovation and empower open thinking for all our team members. We’re excited for the opportunity to have highly driven and impactful talent join our team!

                                                                -

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-28T16:28:02.269Z,False,0,16,50,https://talenthub.vectorinstitute.ai/jobs/263354232-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,expired,2023-08-24T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +ec3b78db-a803-45ce-9eeb-8da98d7b13ee,253577065,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-07-31T16:04:03.083Z,"
                                                                +
                                                                +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of like-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +
                                                                +

                                                                +
                                                                Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                +

                                                                +
                                                                BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada.
                                                                +
                                                                +

                                                                You will:

                                                                +
                                                                    +
                                                                  • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                  • +
                                                                  • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                  • +
                                                                  • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                  • +
                                                                  • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                  • +
                                                                  • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                  • +
                                                                  • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                  • +
                                                                  • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment.
                                                                  • +
                                                                  • Participate and contribute to Agile grooming, planning and estimation.
                                                                  • +
                                                                  • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                  • +
                                                                  • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                  • +
                                                                  • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                  • +
                                                                +
                                                                +

                                                                You have:

                                                                +
                                                                    +
                                                                  • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                  • +
                                                                  • Strong experience with NLP and LLMs.
                                                                  • +
                                                                  • Strong experience with Python and programming fundamentals.
                                                                  • +
                                                                  • Extensive experience with PyTorch.
                                                                  • +
                                                                  • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                  • +
                                                                  • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                  • +
                                                                  • Experience with data manipulation and processing, such as SQL or pandas. Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                  • +
                                                                  • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                  • +
                                                                  • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty. Strong cross-team communication and collaboration skills.
                                                                  • +
                                                                  • A growth mindset and a constant desire to learn.
                                                                  • +
                                                                +
                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-30T17:37:58.206Z,False,0,10,79,https://talenthub.vectorinstitute.ai/jobs/253577065-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5,expired,2023-07-31T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-11-15T17:42:01.840Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                +

                                                                Join our team and what we\'ll accomplish together

                                                                +


                                                                We are looking for an enthusiastic Lead Data Engineer who can help us bring focus, flow, and joy to all developers at TELUS as part of our Platform Engineering team.

                                                                We believe that a strong data science competency is required at TELUS for our business to be successful, and that happy humans build fantastic software. And so our calling is to improve developer focus, flow, and joy at TELUS. This means implementing changes to our systems and processes to make developer platform insights into reality.

                                                                +

                                                                What you will do

                                                                  -
                                                                • Collaborate within an agile framework, and engage with product owners, business partners and technology teams to translate business needs into data designs, e.g. data analytics, data modeling, data profiling and data mapping

                                                                • -
                                                                • Analyzing large data sets

                                                                • +
                                                                • Lead a team of data engineers, data analysts and developers on our journey to strengthen the developer experience through all data ingested, secured, managed, processed and analyzed on our metrics platform
                                                                • -

                                                                  Managing the extract, transform, load (ETL) process for the purposes of producing data-driven insights about our members, including:

                                                                  -
                                                                    -
                                                                  • working with other technical teams to define the data pipeline;

                                                                  • -
                                                                  • performing data analyses and building insightful visualizations;

                                                                  • -
                                                                  • documenting system requirements

                                                                  • -
                                                                  -
                                                                • -
                                                                -

                                                                -
                                                                • -

                                                                  Collaborating with peers and data analytics leaders to:

                                                                  -
                                                                    -
                                                                  • Identify, draft and communicate findings to senior leadership;

                                                                  • -
                                                                  • Research best practices in CX analytics and reporting;

                                                                  • -
                                                                  • Advise senior leadership on approaches to enhancing our existing ETL process

                                                                  • -
                                                                  -
                                                                -

                                                                -
                                                                  -
                                                                • Working collaboratively across a variety of technical, data science, and business teams to deliver the Pension Experience Insights program

                                                                • -
                                                                • Assisting other members of the Pension Data Team with data validation and checking, where needed

                                                                • -
                                                                -

                                                                -

                                                                To succeed in this role, you have:

                                                                -
                                                                  -
                                                                • Experience running end-to-end data analytics projects, including: requirements gathering, data collection, data cleaning and analysis

                                                                • -
                                                                • Knowledge of Pensions plan policies and administrative procedures

                                                                • -
                                                                • 1+ years of experience working with SQL

                                                                • -
                                                                • It is an asset if you have experience working with Python and/or R

                                                                • -
                                                                • It is an asset if you have experience working with Power BI, or similar data visualization software

                                                                • -
                                                                • A track record of “thinking outside the box” and looking at a challenge through multiple lenses

                                                                • -
                                                                • Experience of applying innovative solutions and working with business stakeholders to challenge the status quo, deliver solutions that tackle business problems and meet business requirements

                                                                • -
                                                                • Acute attention to detail and an interest in maintaining the highest data quality standards

                                                                • -
                                                                • Strong ability to manage multiple priorities, work under pressure to meet deadlines

                                                                • -
                                                                • Strong willingness and independent attitude in learning new things

                                                                • -
                                                                • Robust understanding of agile methodologies

                                                                • -
                                                                • Excellent communication and interpersonal skills to work with different personas

                                                                • -
                                                                • Knowledge of systems development life cycle, IT processes and ability to grasp complex technical concepts and translate it into business language

                                                                • -
                                                                • Ability to adapt to a dynamic and evolving software development team environment

                                                                • -
                                                                • Strong working knowledge of Microsoft Office applications (Excel, PowerPoint, Word) and Windows

                                                                • -
                                                                • An interest in demography, behavioral psychology or in pension administration

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Pension-Insights_JR-5716?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/298777358-data-analyst-pension-insights-at-omers,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -e4ee1156-9493-41e5-ade7-80cd60f95d2a,298777366,CN,"Intern, Data Migration and Governance, Analyst",on_site,"Ontario, Canada",2024-01-04T06:45:02.351Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration and Governance, Analyst position in Montreal, QC from May – August 2024.

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Data Migration and Governance, Analyst is responsible for contributing to the implementation of data management and governance strategies in a large and complex Enterprise Resource Planning (ERP) business transformation. The position helps develop skills and practical experience in a data-centric digital transformation. The role consists of assisting business and Information and Technology (I&T) stakeholders in performing Master Data profiling, cleansing and construction so it meets CN requirements before being migrated to the new system. Additionally, the position involves identification and validation of Master Data Governance (MDG) rules and workflows to ensure newly created Master Data complies with CN requirements as it gets defined over time. The areas of business covered by the Master Data will be the Mechanical department (which targets rolling assets, such as locomotives) and the Engineering department (which targets the non-rolling assets, such as tracks, signalling, and bridges). The incumbent takes part in the validation and integrated testing cycles that are being planned as part of the transformation program.

                                                                -

                                                                Major Responsibilities

                                                                -

                                                                Master Data Conversion and Quality – 50%

                                                                -
                                                                  -
                                                                • Identify data objects and profiling quality
                                                                • -
                                                                • Assist stakeholders in Master Data cleansing, construction strategies and implementation
                                                                • -
                                                                • Participate actively in Master Data Conversion Mock cycles, from data loading, analysis, corrective measure implementation and validation
                                                                • -
                                                                • Enhance and promote the Master Data quality tool Proof of Business Value
                                                                • -
                                                                • Be involved in specialized Data Conversion platforms, such as Syniti ADM
                                                                • +Lead initiatives that will improve focus, flow, and joy for software developers across the organization
                                                                  +
                                                                • Work with equally smart, grounded and collaborative individuals, as well as down-to-earth leaders who get stuff done and deliver measurable results
                                                                • +
                                                                • Lead challenging and interesting problems, and strive to do the right thing, the right way and continuously improve via KPIs
                                                                • +
                                                                • Innovate every day and have the freedom to contribute your ideas
                                                                • +
                                                                • Drive the development of data analytics strategy by developing and enhancing data democratization principles
                                                                • +
                                                                • Present our users with relevant, actionable and timely data to improve on software development KPIs such as stability, velocity and availability
                                                                -

                                                                Master Data Governance – 50%

                                                                +

                                                                +

                                                                The platform engineering team is delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data,

                                                                +

                                                                +

                                                                We are entrepreneurial and passionate, we believe that anything is possible and can be achieved by innovative and meaningful outcomes for our customers, team members and that through meaningful and impactful endeavors we can integrate dynamic change in our professional lives.

                                                                +

                                                                +

                                                                We intend to shape the future of how machine learning, data processing and analysis can drive TELUS through insights that solve releasing software to production on-demand.

                                                                +

                                                                +

                                                                Help architect the future of our enterprise data solutions and leverage the best of Google Cloud’s data management, analysis and machine learning capabilities and drive forward our data strategy.

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Here’s how

                                                                +
                                                                +

                                                                  -
                                                                • Assist stakeholders in identifying, implementing, and validating Master Data business rules and workflow requirements in conjunction with business owners
                                                                • -
                                                                • Validate data governance roadmap and strategy on specialized tools and platforms, such as System, Applications, and Products (SAP) MDG and Asset Information Workbench (AIW)
                                                                • -
                                                                • Participate in Integrated Test Cycles, as defined by the program, to validate Master Data-related Business Processes
                                                                • +
                                                                • Overseeing the team that builds and iterates data pipelines to process data either where it lives, or across boundaries into a single system.
                                                                • +
                                                                • Analyze datasets, build data relationships and models to generate reports, meaningful insights and machine learning automation to support the business
                                                                • +
                                                                • Build a cohesive data platform that extends between the cloud and our data centers which can ingest, transform and process data.
                                                                • +
                                                                • Support operational efficiencies across our people, software engineering processes, management and our technical programs by leveraging data retrieved from our systems and tools.
                                                                • +
                                                                • Lead the team supporting the data pipelines feeding into our machine learning algorithms and models. Explore the latest tools and API’s that can help optimize our Machine Learning operations.
                                                                • +
                                                                • Lead the team to assist the extracting, loading, transforming, cleaning, and validating of data from both inside and outside of Telus.
                                                                -

                                                                Requirements

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +


                                                                +

                                                                What you bring

                                                                +

                                                                  -
                                                                • Interest in managing data and business processes
                                                                • -
                                                                • Applies critical thinking
                                                                • -
                                                                • Interest in identifying issues and applying resolution in complex data sets
                                                                • -
                                                                • Knowledge of Microsoft Office (Excel and other equivalent productivity tools) way)
                                                                • -
                                                                • Knowledge of Structured Query Language (SQL) scripting*
                                                                • -
                                                                • Communicates with impact
                                                                • -
                                                                • Works with geographically distributed colleagues, collaborates with others and shares information
                                                                • +
                                                                • +You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                                                                • +
                                                                • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning
                                                                • +
                                                                • Realize the vision of Data Democratization for software delivery metrics. Educate our customers on how to work with data to improve and reap the rewards
                                                                • +
                                                                • AI/ML tools expertise
                                                                • +
                                                                • GCP Professional Data Engineering certification
                                                                • +
                                                                • Google Cloud Dataflow and Google BigQuery experience
                                                                • +
                                                                • Orchestration and job scheduling platforms experience
                                                                • +
                                                                • Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, DataLooker, Dataprep, Composer, etc)
                                                                • +
                                                                • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems
                                                                • +
                                                                • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                                • +
                                                                • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                                • +
                                                                • Communication skills to ensure effective management of relationships, prepare presentations for leadership consumption.
                                                                -

                                                                Education

                                                                -
                                                                • Working towards a Bachelor’s Degree in any Technical or Business fields with interest in data management, including Business Analysis and Processes, Mathematics, Statistics, Data Science, and Engineering
                                                                -

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                -

                                                                -

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11968?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/298777366-intern-data-migration-and-governance-analyst-at-cn,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -92a65e8f-b39d-42a0-aab8-bb5193d2a6ad,295867484,Scotiabank,"Manager, CCR Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-12-18T16:26:01.832Z,"

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Burnaby-L5-Software-Development-Brit/565119317/,feed-importer@jobboard.io,,,,2022-12-17T14:19:22.702Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/167456282-lead-data-engineer-at-telus,,expired,2022-11-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Masters Degree,New Posting, +207d16fb-bf0f-4861-9117-f8380293b67b,167802348,KPMG,Senior Consultant - Data Analyst,on_site,"Toronto, Canada",2022-11-16T17:26:02.394Z,"Overview

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                Our Governance, Risk and Compliance Services (GRCS) team is growing and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

                                                                  +
                                                                • Learn more about Risk Consulting here
                                                                • +
                                                                • Learn more about our Toronto office here
                                                                • +

                                                                What you will do

                                                                As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                  +
                                                                • Work closely with clients and partners in understanding key business issues on digital opportunities
                                                                • +
                                                                • Gather and analyze requirements to develop impactful recommendations and solutions
                                                                • +
                                                                • +Utilize advanced analytical techniques to solve challenging business problems to identify areas of risk, opportunities and recommend solutions for our clients. Leverage a diverse set of technologies and tools to deliver insights +
                                                                • +
                                                                • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, data management, data governance, reporting, visualization and/or intelligent automation
                                                                • +
                                                                • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
                                                                • +
                                                                • Work with large volumes of data (structured and unstructured)
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues
                                                                • +
                                                                • Effectively communicate orally and written with peers within GRCS, KPMG and the client
                                                                • +

                                                                What you bring to the role

                                                                You have strong work experience and academic record and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                  +
                                                                • Strong experience of 3-5 years, working with different kinds of messy, real-world data from a variety of databases
                                                                • +
                                                                • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration, and can achieve personal and professional success while juggling competing priorities and deadlines
                                                                • +
                                                                • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
                                                                • +
                                                                • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                • +
                                                                • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
                                                                • +
                                                                • Experience in data governance, data quality, data processing, and data controls
                                                                • +
                                                                • Client-facing or consulting experience
                                                                • +
                                                                • Experience communicating insights or ideas through presentations and meetings
                                                                • +
                                                                • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset
                                                                • +
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • +
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • +
                                                                • Ability to understand and explain business value of data and analytics concepts
                                                                • +
                                                                • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                • +
                                                                • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                • +
                                                                • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                • +
                                                                • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                • +

                                                                Keys to your success:

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                Providing you with the support you need to be at your best



                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                Our Values, The KPMG Way

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                ",,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-12-17T14:35:21.678Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/167802348-senior-consultant-data-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,expired,2022-11-16T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +75b2c4fc-23d8-47dd-9e81-31c42ddc97e5,178100528,Scotiabank,"Senior Manager, Retail Deposit Analytics",on_site,Canada : Ontario : Toronto,2022-12-16T17:22:02.604Z,"

                                                                -

                                                                Requisition ID: 189329

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 169202

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Excited about creating a safer financial world by using your data, analytics, and modelling skills?Join us!

                                                                -

                                                                -

                                                                As the Market Risk Measurement (MRM) team, we are an established leader in risk methodologies with many awards and several firsts in the Canadian banking sector: We prepare Scotiabank for the adoption of new regulatory and industry-wide initiatives and played a key role in Scotiabank becoming the first bank in Canada to receive regulatory approval for using Internal Model Methods (IMM) for Counterparty Credit Risk. We currently lead the Bank’s project to implement the Fundamental Review of the Trading Book (FRTB). As part of this, we have provided major contributions to discussion with regulators on changes that increase the financial stability of banking systems world-wide.

                                                                -

                                                                -

                                                                MRM is actively involved in the Bank’s Diversity & Inclusion (D&I) initiatives representing the diverse gender, cultural and ethnic backgrounds of our team. The more diverse we are, the more balanced our approach and models will be! The team is a key contributor to Women-in-Leadership activities – we take part in enterprise-wide D&I discussions, events, and Employee Resource Groups to enhance the representation and recognition of minority groups in the bank.

                                                                -

                                                                -

                                                                We are looking for people and talent that will help us drive these large-scale initiatives forward and work alongside our diverse team of quants, data scientists and developers and collaborate with our many stakeholders across Scotiabank.

                                                                -

                                                                -

                                                                Is this role right for you?

                                                                -

                                                                Do you love to apply your data analytics and modelling skills to solve relevant problems? Do you want to be part of the exciting endeavour of building out the next generation market risk framework to make a safer financial world? This role is ideal for a person with quantitative background who is keen to help in bank-wide projects that require a high degree of communication and stake-holder management. This is also a good starter role for someone with a strong quantitative background with proven interest in Finance, Economics, Derivatives, or Risk Management via reading and self-education.

                                                                -

                                                                -

                                                                As a member of the Counterparty Credit Risk Analytics team, you will work with the Bank’s Counterparty Credit Risk (CCR) systems which cover measurement of Potential Future Exposure (PFE), IMM capital and xVA pricing. The team is at the forefront of new bank-wide initiatives related to CCR systems with exposure to many stakeholders from business and risk functions. You will collaborate with front-office, model developers, credit risk managers, data governance teams, and technology to build out analytics support and data solutions to ensure accurate reporting and insights on CCR measures used to monitor CCR in the Bank’s CCR Monte Carlo engine as well as capital calculation system.

                                                                -

                                                                -

                                                                In this role, you will:

                                                                -
                                                                • Take a hands-on role in several key strategic initiatives that are highly quantitative and key to accurate and timely CCR reporting.
                                                                • Collaborate with front office, model development, technology, and downstream data users to support daily exposure investigations.
                                                                • Take on a central role in Identifying CCR data issues and streamlining priorities. Collaborate with data governance teams to drive CCR data issues resolution.
                                                                • Develop and automate control processes to identify data challenges affecting accuracy of CCR measures. Development is typically completed in SQL or python.
                                                                • Develop and implement analytics dashboard through the Power BI framework within the CCR database to support monitoring and drilldown investigation of CCR measures.
                                                                • Assist team members with various operational responsibilities including daily run of critical risk reports and corresponding analyses, ad-hoc data pulls and analyses, documentation, other regular reporting, etc.
                                                                • Become an active member of the team including our D&I initiatives and communities.
                                                                • -
                                                                +

                                                                Purpose:

                                                                +


                                                                The Senior Manager, Retail Deposit Analytics is responsible for leading a team of analytics professionals in conducting analyses and making fact-based recommendations across the Retail Deposits and Day to Day Banking portfolios. The incumbent will deliver strategic and tactical knowledge to facilitate the execution of strategies that will enable profitable growth of Deposit customer base, increase customer engagement and optimize revenue margins for the business. He/She will work with multiple stakeholders and partners within and outside Scotiabank to develop optimal strategies based on excellent analytical, database marketing, people management, communication and relationship management skills.

                                                                -

                                                                Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                                -
                                                                • Solid quantitative background and problem-solving skills with a keen interest in Finance, Economics, Derivatives, Risk framework and Regulations (i.e., exposure reporting, capital, etc.).
                                                                • Advanced degree in a mathematics, economics, or scientific discipline (e.g., Mathematics, Statistics, Physics, Engineering, Biology, Finance, Economics, etc.). Master’s degrees or PhDs are a bonus.
                                                                • Excellent communication skills and specifically the ability to summarize complex ideas in simple terms. Strong presentation and writing skills.
                                                                • Ability to critically evaluate impact across systems/processes; and to define and effectively communicate objectives and solutions with the corresponding stakeholders.
                                                                • You like communication and stakeholder management, and you strive to push forward projects.
                                                                • SQL programing is essential to support day-day activity.
                                                                • Hands-on experience with Python and/or other Object-Oriented languages and Unix bash scripting is preferred.
                                                                • Knowledge of databases and BI tools (especially MS Power BI) is an asset.
                                                                • Knowledge of industry wide methods for CCR calculations or experience with CCR management is an asset.
                                                                • -
                                                                +

                                                                Accountabilities:

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                                • A rewarding career path with diverse opportunities for professional development.
                                                                • Internal development to support your growth and enhance your skills.
                                                                • A competitive compensation and benefits package.
                                                                • An organization committed to making a difference in our communities– for you and our customers.
                                                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                • -
                                                                -

                                                                -

                                                                This position is located Downtown, Toronto.

                                                                +

                                                                Accountability 1 - Analysis & development support for acquisition and campaign strategies

                                                                +


                                                                • Collaborate with Retail Deposit and Day to Day banking team to profitably grow customer base. Proactively provide strategic analysis that will assist the business to optimize new & existing accounts and product mix from various channels. Grow day to day banking customer base within multiple segments of Scotiabank customers and enhance opportunity to acquire non-Scotiabank customers.
                                                                • Work closely with marketing team to develop analytical and segmentation strategies that enhance Deposit customer engagement initiatives while optimizing budgets as well as margins. Collaborate with Retail Marketing and Customer Decisioning teams to implement and fulfill campaigns while ensuring seamless customer experience.
                                                                • Lead the data science initiatives to optimize pricing and targeting strategies to drive acquisition & retention of chequing balances. This role works closely with Retail Deposit team, finance, treasury, channel partners to recommend pricing and targeting strategies to grow deposit portfolio.
                                                                • Evaluate new campaign ideas based on business opportunities and revenue growth; provide initial sizing and develop business case. Provide go/no go recommendation by examining overall P&L impact to the bank.
                                                                • Collaborate with Campaign Design, Products and Retail Marketing teams to support optimal acquisition and customer migration initiatives driven through centralized campaign execution engine.
                                                                • Work closely with segmentation/modeling experts within or outside Scotiabank to create new and effective ways of targeting customers in order to maximize efficiency of acquisition campaign strategies.
                                                                • Continuously acquire and enhance knowledge of business/product strategies, competitive practices, market insights and other policies, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
                                                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-08T16:31:06.342Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/295867484-manager-ccr-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b94f31e2-88e5-4f11-92a0-c623f891dea8,342351746,BMO Financial Group,First Nations / Inuit / Métis – Manager - Data analytics,on_site,"Ontario, Canada",2024-09-16T12:06:02.446Z,"
                                                                -

                                                                Application Deadline:

                                                                09/25/2024

                                                                -

                                                                -

                                                                Address:

                                                                VIRTUAL59 - HomeRes - ON - BMO

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

                                                                -

                                                                Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                                                -

                                                                This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                                                -

                                                                -

                                                                -

                                                                Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                                                -
                                                                  -
                                                                • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                • -
                                                                • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                • -
                                                                • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                • -
                                                                • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                • -
                                                                • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                • -
                                                                • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                • -
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • -
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works independently and regularly handles non-routine situations.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                • -
                                                                -

                                                                -

                                                                Qualifications:

                                                                -

                                                                Intermediate level of proficiency:

                                                                -
                                                                  -
                                                                • Mathematics, statistics & operations research.
                                                                • -
                                                                • Deep learning.
                                                                • -
                                                                • Machine learning.
                                                                • -
                                                                • Trust, bias and ethics.
                                                                • -
                                                                • Creative thinking.
                                                                • -
                                                                • Critical thinking.
                                                                • -
                                                                -

                                                                Advanced level of proficiency:

                                                                -
                                                                  -
                                                                • Big data.
                                                                • -
                                                                • Data visualization.
                                                                • -
                                                                • Computational thinking and programming.
                                                                • -
                                                                • Data wrangling.
                                                                • -
                                                                • Data preprocessing.
                                                                • -
                                                                • Creative reasoning.
                                                                • -
                                                                • Verbal & written communication skills.
                                                                • -
                                                                • Collaboration & team skills.
                                                                • -
                                                                • Analytical and problem solving skills.
                                                                • -
                                                                • Influence skills.
                                                                • -
                                                                • Data driven decision making.
                                                                • -
                                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Salary:

                                                                -
                                                                $81,600.00 - $151,200.00

                                                                -

                                                                Pay Type:

                                                                Salaried

                                                                -

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                -

                                                                -

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                -

                                                                -

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/First-Nations---Inuit---Mtis---Manager---Data-analytics_R240020675?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-24T08:23:01.871Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/342351746-first-nations-inuit-metis-manager-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -dd3b8ae8-d00f-4632-9d97-b05b23f6d674,141719171,CIBC,"Consultant, Business Systems Analysis",on_site,"Ontario, Canada",2022-08-04T10:46:02.724Z,"
                                                                +

                                                                Accountability 2 - Measurement & Reporting

                                                                +


                                                                • Lead the creation of ongoing measurement of acquisition/engagement campaign strategies relative to the pro-forma/plan. Provide actionable insights and recommendations to business stakeholders on an ongoing basis in order to maximize business results and enable the creation of an ongoing learning loop.
                                                                • Develop pro-forma for acquisition/engagement campaign initiatives working closely with multiple stakeholders at Scotiabank.
                                                                • Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams;
                                                                • Providing analytical support and profit insights on a regular and ad-hoc bases within Retail Canadian Banking with an eye towards driving business growth and profits
                                                                • Provide business support to all areas of Retail Deposits and Day to Day Banking including Business development, Product, Acquisition and Analytics. Work with Finance for business case development and to report results to Senior Management as well as provide outlook/projection

                                                                +

                                                                +


                                                                Accountability 3

                                                                +


                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                +

                                                                +


                                                                Qualifications

                                                                +


                                                                • In-depth analytics experience and solid business acumen are required. Extensive marketing & campaign analytics and decision support experience is strongly preferred along with a comprehensive understanding of portfolio optimization and financial P&L levers.
                                                                • Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies.
                                                                • A proven ability to rapidly, effectively and accurately extract and interpret data and transform it into meaningful and actionable business insights.
                                                                • Exceptional oral and written communication skills, with a demonstrated ability to present and translate highly technical concepts to a wide audience.
                                                                • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests.
                                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                • Proven track record of success in maintaining, leading and motivating a productive team of analytics professionals.
                                                                • Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors that will contribute to successful growth initiatives.
                                                                Educational Requirements
                                                                • Minimum Bachelor's Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
                                                                • MBA (Finance or Marketing)/CFA/FRM or Master in Analytics - preferred

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T15:26:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/178100528-senior-manager-retail-deposit-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,expired,2022-12-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +5f761f79-e324-409f-bdae-6968d9896e17,176654372,CIBC,"Senior Data Scientist, Advanced Analytics & AI",on_site,"Ontario, Canada",2022-12-12T17:06:04.602Z,"

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                @@ -45104,31 +44834,52 @@ dd3b8ae8-d00f-4632-9d97-b05b23f6d674,141719171,CIBC,"Consultant, Business System

                                                                Job Description

                                                                -

                                                                What You\'ll Be Doing

                                                                -

                                                                As a Business Systems Consultant you will be responsible for providing management reporting and business analytics to support IT Senior Management. This includes creating and delivering regular and ad hoc reports as well as conducting analysis to support business decisions and initiatives

                                                                -

                                                                -

                                                                How You\'ll Succeed

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                The Advanced Analytics & AI team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                                +

                                                                You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • -Data Analytics & Reporting: Gather key business metrics that will support management and risk reports on a regular basis. Perform business analysis to support business decisions and initiatives. Provide Information Governance by maintaining a Metric Dictionary and calendar of key deliverables
                                                                • -
                                                                • -Understanding and Documenting Requirements - Work closely with business partners to gather complex business requirements and facilitate solution design discussions to ensure you meet project needs. Build strong relationships, lead discussions, listen and ask the right questions to ensure solutions meet requirements.
                                                                • -
                                                                • -Leading and Mentoring – Support technology project implementation as a data subject matter expert, and provide guidance to a diverse team of technology and project professionals. Maintain a collaborative work environment and support team members to resolve organizational, operational, and process problems.
                                                                • +
                                                                • Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.

                                                                • +
                                                                • Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.

                                                                • +
                                                                • Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.

                                                                Who You Are

                                                                  +
                                                                • You have an advanced degree in a scientific or quantitative field

                                                                • +
                                                                • You have minimum of 3 year experience in industry or research

                                                                • +
                                                                • You enjoy the challenge of leading engagements and coaching junior team members

                                                                • +
                                                                • You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.

                                                                • +
                                                                • You have strong communication skills and an ability to present complex concepts clearly.

                                                                • +
                                                                • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                                • +
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do.
                                                                • -
                                                                • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                                • -
                                                                • -You\'re driven by collective success and your influence makes an impact. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                                • -
                                                                • -You have strong business acumen, including 4 to 8 years of working experience, preferably with 2 years of consulting experience. A university degree is required (Engineering, Computer Science or Business preferred) with an MBA being nice to have. A developed working knowledge of the IT industry is essential. Operations Risk experience is an asset.
                                                                • -
                                                                • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                                • +

                                                                  You have extensive knowledge of:

                                                                  +
                                                                    +
                                                                  • Programming in Python

                                                                  • +
                                                                  • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)

                                                                  • +
                                                                  • Writing queries in SQL and working with data warehouses

                                                                  • +
                                                                  • ML/AI Frameworks (Tensorflow, Pytorch)

                                                                  • +
                                                                  • Knowledge of NLP and associated toolkits (nltk, spaCy)

                                                                  • +
                                                                  • Software development and testing

                                                                  • +
                                                                  • Also beneficial:

                                                                  • +
                                                                  • Knowledge of data visualization tools such as Tableau

                                                                  • +
                                                                  • Understanding of Docker and Kubernetes

                                                                  • +
                                                                  • Exposure to big data frameworks (PySpark, SparkML)

                                                                  • +
                                                                  • Exposure Microsoft Azure cloud platform

                                                                  • +
                                                                  + +
                                                                +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                                +
                                                                  +
                                                                • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                                                                • +
                                                                • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                                                                • +
                                                                • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                                                                • +
                                                                • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                                What you need to know

                                                                @@ -45141,527 +44892,484 @@ dd3b8ae8-d00f-4632-9d97-b05b23f6d674,141719171,CIBC,"Consultant, Business System

                                                                -

                                                                Job Location

                                                                Toronto-CC East 11th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Job Location

                                                                81 Bay Street, 1st Floor

                                                                Employment Type

                                                                Regular

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Agile Methodologies, Change Management, Management Consulting, Microsoft PowerPoint, Microsoft Project, Microsoft Visio, Microsoft Word, Problem Solving
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Business-Systems-Analysis_2119312,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-08-18T10:51:14.701Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/141719171-consultant-business-systems-analysis-at-cibc,,expired,2022-08-04T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -11e05f04-9231-4982-9e22-63de7678673c,138455453,Sun Life Financial,Sr Software Engineer ( Data Engineer),on_site,"Ontario, Canada",2022-07-21T07:26:01.628Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                Advanced Analytics, Business Insights, Data Analysis, Data Science
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Advanced-Analytics---AI_2242794-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-19T15:23:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/176654372-senior-data-scientist-advanced-analytics-ai-at-cibc,,expired,2022-12-12T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Post-Graduate Diploma,New Posting, +450e6a30-eec7-4470-9b6b-b411cbf7cb67,172489051,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-01T17:24:03.148Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                                                                -

                                                                Job Description:

                                                                -

                                                                Sr Software Engineer ( Data Engineer)

                                                                -

                                                                We are looking for an experienced and high-performing individual to join our Data and Analytics Delivery team as a Sr Software Engineer. This senior technical leadership role is responsible for the design, building, deployment and support of data integration, BI reporting and analytic solutions, and application integration solutions using Informatica, Python, AWS Glue and supporting tools and services.

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                                                                As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                                                                +

                                                                This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:
                                                                • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                                                                • Evaluate ML model development procedures and processes for model compliance risks (e.g., unfairness)
                                                                • Support the development of technical standards and guidelines covering model risk matters, and draft key Compliance documents in appropriate coordination with stakeholders
                                                                • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                                                                • Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                                                                o Supporting compliance risk management associated with models used by TD;
                                                                o Supporting the business in identifying models whose outcomes impact customers or communities;
                                                                o Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                                                                o Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                                                                • Partner with Legal, Privacy, Model Validation and other Compliance Units (e.g., TDI Compliance, and TDS Compliance)
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model or tool

                                                                +

                                                                The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                                                                +

                                                                TEAM DESCRIPTION

                                                                +

                                                                The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:
                                                                • Assessing models for regulatory compliance and conduct risk;
                                                                • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                                                                • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.

                                                                +

                                                                COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                                                                +

                                                                -

                                                                What do you need to succeed?

                                                                -
                                                                  -
                                                                • Minimum 5-7 years of experience in developing solutions for data warehouse loads and system integrations using ETL tools such as Informatica PowerCenter

                                                                • -
                                                                • Minimum 2 years of experience with Big Data including knowledge

                                                                • -
                                                                • Nice to have knowledge of HDFS, Tez, and Spark

                                                                • -
                                                                • Minimum 1 year of experience with Python script development using PySpark, Python libraries, configuration driven and object-oriented ETL

                                                                • -
                                                                • Understanding and hands-on expertise on AWS Cloud Computing environment and experience with building ETL using AWS Glue (Python), step and lambda functions

                                                                • -
                                                                • Experience with creating complex data frames/structures in Hadoop for data integration and complex calculations

                                                                • -
                                                                +

                                                                Requirements

                                                                +
                                                                • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                                                                • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                                                                • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership on same
                                                                • The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives
                                                                • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                                                                • Excellent verbal and written communication skills
                                                                • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                                                                • Work effectively as a team to peer review other team member model reviews and share knowledge
                                                                • Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model and tool compliance risks
                                                                • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                                                                • Quick learner who constantly works on improving skills and expertise.
                                                                • Good time management and multitasking skills with minimal supervision.

                                                                +

                                                                EXPERIENCE & EDUCATION:
                                                                • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                                                                • Relevant experience with the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                                                                • Demonstrated engagement with the issues of explainability and/or fairness in the context of advanced analytics and machine learning

                                                                +

                                                                -

                                                                Required:- 5 years of Consecutive Residency in Canada for Reliability Clearance.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Provide leadership on the construction and maintenance of robust and efficient data applications and reusable frameworks

                                                                • -
                                                                • Responsible for coordinating or participating in all aspects of the development cycle from design and development to release planning and implementation of data systems.

                                                                • -
                                                                • Translate requirements into detailed functional and technical design using architecturally approved technology

                                                                • -
                                                                • Provide high level solution options and estimates for project proposals, and detailed work estimates in support of assigned work

                                                                • -
                                                                • Deliver solutions according to Systems Development Life Cycle (SDLC) methodology for either waterfall or agile projects

                                                                • -
                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                Preferred Skills

                                                                -
                                                                  -
                                                                • Experience with production implementation change management processes

                                                                • -
                                                                • Experience with project management and software development life cycle /SDLC; Agile and Lean (3+ years)

                                                                • -
                                                                • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting (3+ years)

                                                                • -
                                                                • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities

                                                                • +
                                                                ",,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-19T15:22:00.000Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/172489051-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +1f35a6a4-55b6-4bd6-9c1b-eb1358e93bc5,175020135,Scotiabank,"Manager, Financial Reporting (Data Analytics)",on_site,Canada : Ontario : Toronto,2022-12-08T17:22:03.286Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 166893

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose of Job:

                                                                +

                                                                +

                                                                The Manager, Financial Reporting, will assist in the analysis, monitoring and reporting of Retail Credit Risk, Small Business & Wealth Management portfolios including monthly, quarterly and annual reporting for Scotiabank's senior management, investors and regulators.

                                                                +

                                                                +

                                                                Job Responsibilities:

                                                                +

                                                                +
                                                                • Assist in the preparation of Global Retail Credit Risk monthly, quarterly and annual portfolio reporting for Bank Executives and external stakeholders:
                                                                • Development, analysis and maintenance of key senior management reports including data management, presentation, documentation, quality assurance and operational production effectiveness
                                                                • Provide prompt and sound analysis of performance of the Retail, Small Business and Wealth Management portfolios to support management decisions
                                                                • Participate in the identification, assessment and monitoring of credit risk trends and communicate adherence to authorized risk tolerance parameters
                                                                • Extract, review, and analyze data from Enterprise General Ledger, Enterprise Date Lake & other various sources to address Global Retail Credit Risk ad-hoc reporting needs and projects
                                                                • Prepare quarterly regulatory reporting and financial note disclosure:
                                                                • Interact with the Canadian & International Retail Risk groups, Finance, Audit and other Bank departments to ensure information provided is accurate and reliable
                                                                • Prepare reconciliations and analysis of Retail Risk and financial information to ensure that the data discrepancies are properly known and identified.
                                                                • Assist in developing enhancements for reporting and data aggregation by:
                                                                • Following and keeping up-to-date with regulatory requirements, End User Computing guidelines, RDARR principles and other data-related requirements
                                                                • Improving the reporting methodology, modifying requirements per regulator guidance, identifying streamlining opportunities and redesigning as appropriate
                                                                • Provide key support and technical expertise in data management and validations, report automation and trend analysis; Work with technology teams to identify issues and implement solutions.
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US.

                                                                • -
                                                                • Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Remote (work from home)

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • +

                                                                  +

                                                                  Job Requirements:

                                                                  +

                                                                  +
                                                                  • University degree in business (finance or accounting) or a quantitative field (mathematics or statistics).
                                                                  • A minimum of 5 years progressive experience and functional competencies in development, analytics and delivery of senior management reporting including monthly, quarterly reporting; experience in Retail Banking, Retail Credit Risk and financial / quantitative methodologies.
                                                                  • To be successful in the position, the incumbent must have the following competencies:
                                                                    • Must have knowledge and experience in SAS, SQL and VBA.
                                                                    • Knowledge of current industry trends, regulatory requirements and industry best practices
                                                                    • Familiar with the Bank's General Ledger and / or has experience with preparing financial note disclosures
                                                                    • High level of proficiency in using MS Office suite of applications (MS Word, MS Excel, MS Access, MS PowerPoint)
                                                                    • Ability to analyze raw data; strong ability to understand and write business requirements.
                                                                    • Sound project and time management skills; strong organizational and prioritization skills; strong communication skills, both verbal and written; a highly proactive attitude, and use of initiative and independent judgment
                                                                    • Experience with Power BI or Tableau and open source programming like SQL, R or Python are considered an asset.
                                                                  -

                                                                  -
                                                                  -

                                                                  The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  -

                                                                  -

                                                                  #LI-Remote

                                                                  -
                                                                  -

                                                                  -

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  -

                                                                  -

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  -

                                                                  -

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  -

                                                                  -

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  -

                                                                  -

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  -

                                                                  -

                                                                  Salary Range:

                                                                  74,900/74 900 - 125,900/125 900

                                                                  -

                                                                  Job Category:

                                                                  IT - Technology Services

                                                                  -

                                                                  Posting End Date:

                                                                  -
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Sr-Software-Engineer_JR00058777?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-18T07:31:04.851Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/138455453-sr-software-engineer-data-engineer-at-sun-life-financial,,expired,2022-07-21T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bb3e3624-3cdc-4af0-be6a-76f13fb38d38,143593872,Scotiabank,"Director, Data Governance and Analytics",on_site,Canada : Ontario : Toronto,2022-08-11T20:19:03.297Z,"

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/175020135-manager-financial-reporting-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,expired,2022-12-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0927fcff-d82a-4981-9b00-1f10480a67a4,177790850,Scotiabank,Velocity - Business Analyst Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:03.289Z,"

                                                                -

                                                                Requisition ID: 158322

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Position:

                                                                -

                                                                Director Data Governance and Analytics, Risk and Business Controls / Global Wealth Management Operations

                                                                -

                                                                -

                                                                Leads and oversees the Data Governance and Analytics team, a unit within Risk and Business Controls, Global Wealth Management Operations. The incumbent is responsible for the leading and coordinating the implementation of the Bank’s Data Risk Policy across Global Wealth Management; and supports key reporting and data driven insights to improve decision making processes within Risk and Business controls.

                                                                -

                                                                -

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -

                                                                -
                                                                • Drives day to day activities and decisions are consistent with the Bank’s risk appetite and risk culture.
                                                                • +

                                                                  Requisition ID: 169371

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Term: May-August 2023
                                                                  Application Deadline: 12/31/2022

                                                                  +

                                                                  +

                                                                  There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  +

                                                                  The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +
                                                                  • Work with a team of highly-motivated, technical generalists and bankers to deliver clean and effective solutions
                                                                  • Identify and analyze business and technical requirements to create diagrams, flow charts, and documentation
                                                                  • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                  • Make impact by constantly improving, identifying and implementing process
                                                                  -

                                                                  -
                                                                  • -Data Governance and Management
                                                                    • Provides strategic direction and thought leadership to drive the implementation of the Bank’s Data Risk Policy and Data Standards across GWM.
                                                                    • Owns and is responsible for leading, developing, and executing on the overall data governance and management roadmap and implementation for GWM to ensure adherence to the Bank’s Data Risk Policy and Data Standards.
                                                                    • Acts as the Data Steward and assists other GWM Data Steward(s) for assigned domains.
                                                                    • Responsible for the communications and reporting related to GWM’s data governance and data management program.
                                                                    • Coordinates with the Enterprise Data Office, IT&S, Business Unit Heads, and other key stakeholders.
                                                                  • +
                                                                    • Experiment & learn!
                                                                    -

                                                                    -
                                                                    • -Analytics and Reporting
                                                                      • Leads initiatives to deliver improved processes and controls by leveraging data
                                                                      • Proactively identifies opportunities to improve operations, streamline and improve existing reporting, and advocates the transition to modern reporting tools (e.g., PowerBI).
                                                                      • Provides expertise on analytical techniques to uncover patterns, trends, and relationships to allow insights to better monitor and manage risk.
                                                                      • Maintains expert knowledge of all primary data sources for the business unit’s data to enable the design, execution, and maintenance of KPI/KRI dashboards to support decision making and monitoring of key customer, operational, financial, and compliance metrics.
                                                                      • Ensures reporting / dashboards have strong internal controls and QA to ensure accuracy, completeness, and meet stakeholder objectives.
                                                                      • Prepare and present analytics/reporting outputs and recommendations business unit and senior management.
                                                                    • +

                                                                      +

                                                                      +

                                                                      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                      +
                                                                      • You are currently enrolled in post-secondary education.
                                                                      -

                                                                      -
                                                                      • Builds a high-performance culture and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team
                                                                      • +
                                                                        • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                        • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                        • You have knowledge/experience in:
                                                                        -

                                                                        -
                                                                        • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                        • +
                                                                          • Drawing conclusions and provide actionable insights to encourage data –driven decision making
                                                                          • Managing a project, and ensuring deliverables are made
                                                                          -

                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

                                                                          -

                                                                          -
                                                                          • Works closely with partners across Global Wealth Management (Canadian Wealth Management, SSI, and Canadian Asset Management), Enterprise Data Office, and IT&S.
                                                                          • Ability to collaborate and manage relationships and stakeholder expectations is critical.
                                                                          • Deals well with ambiguity and demonstrates a resilient, flexible mindset.
                                                                          • High attention to detail, particularly in support of reporting and analytics projects.
                                                                          • Minimum 8-10 years related work experience demonstrating progressive responsibilities in the areas of data governance, data management, and in analytics/reporting roles.
                                                                          • Knowledge of data governance and data management principles, tools, and practices.
                                                                          • Strong data analytics skillset and experience with SQL, R, Python, Spark; database systems (Hive/Hadoop, SQL server)
                                                                          • Strong communication skills and ability to influence stakeholders is a critical component of this role.
                                                                          • Knowledge of the wealth management and securities industry (e.g., products, operational processes, applications/systems, and data flows) would be an asset.
                                                                          • +
                                                                            • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                                                            • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                                                                            -

                                                                            -

                                                                            What’s in it for you?

                                                                            -

                                                                            -
                                                                            • An inclusive and collaborative working environment that encourages creativity, curiosity and celebrates success!
                                                                            • Work with and learn from diverse industry leaders.
                                                                            • +

                                                                              +

                                                                              What’s in it for you?

                                                                              +
                                                                              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                              • +
                                                                              +
                                                                              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                              +

                                                                              +

                                                                              +

                                                                              How do I apply?

                                                                              +

                                                                              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                              +

                                                                              +
                                                                              1. Complete your PLUM Profile here and save as a screenshot.
                                                                              2. Complete a short one-way video interview here.
                                                                              3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                              4. +
                                                                              +

                                                                              +

                                                                              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-and-Analytics-ON-M5C2V9/561922017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-08-18T20:24:14.424Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/143593872-director-data-governance-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-and-Analytics-ON-M5C2V9/561922017/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -0818c7c8-3d75-4daa-93f0-7ec3895db27b,144396019,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-08-16T01:50:18.891Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/177790850-velocity-business-analyst-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, +0dfa24d6-0eb1-4820-a3dc-82d5b2267224,37638629,Darwin AI,Full-Stack Developer ☑️,on_site,"Toronto, ON, Canada",2020-08-05T13:29:33.650Z,"

                                                                WHO WE ARE LOOKING FOR

                                                                -

                                                                Department Overview

                                                                -
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                -
                                                                +

                                                                Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                -

                                                                As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                                                -

                                                                You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                -
                                                                +

                                                                REQUIREMENTS

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Must-Have

                                                                -
                                                                  -
                                                                • Engineering leadership experience with having led high-performance engineering teams
                                                                • -
                                                                • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                                                • -
                                                                • You value good software design and sweat over details in code and API design
                                                                • -
                                                                • Knowledge of machine learning modelling workflow
                                                                • -
                                                                • You enjoy learning new technology and educating others
                                                                • -
                                                                • You strive to communicate clearly and with empathy
                                                                • -
                                                                • You take great personal pride in building robust and scalable software
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • -
                                                                -


                                                                Nice to have

                                                                +

                                                                Our ideal candidate possesses:

                                                                Must-have

                                                                  -
                                                                • Experience building a library or a framework
                                                                • -
                                                                • Knowledge of machine learning algorithms
                                                                • -
                                                                • Experience with Azure cloud stack
                                                                • -
                                                                • Data analytics
                                                                • -
                                                                • Comfortable with math or statistics
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-22T16:00:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/144396019-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-08-16T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -68c7a725-057e-461e-9860-23b992e1df62,142619249,Thomson Reuters,Senior DevOps Engineer - AI/ML,on_site,"Ontario, Canada",2022-08-08T13:32:02.109Z,"
                                                                -

                                                                Want to join a small engineering team dedicated to improving the developer experience for 150+ researchers and engineers applying natural language processing research and delivering ML/AI applications to production?

                                                                -

                                                                Thomson Reuters’ media and software products help run businesses and governments around the world. Thomson Reuters is the parent company of international news agency, Reuters News, and the provider of several subscription-based legal and tax research software services that produce billions of dollars in revenue each year.

                                                                -

                                                                -

                                                                Thomson Reuters Labs is a growing team within Thomson Reuters dedicated to developing Artificial Intelligence (AI) and Machine Learning (ML) powered software products, applying natural language processing research, and advancing software delivery processes and technology adoption across the enterprise.

                                                                -

                                                                In this role, you will join Labs’ Ops and Automation team, working across the software development lifecycle to help the entire team deliver better software faster.

                                                                -

                                                                -

                                                                Sound interesting? Come join us!

                                                                -

                                                                -

                                                                About the Role

                                                                -

                                                                In this opportunity as Labs Senior Cloud and DevOps Engineer, you will: 

                                                                -
                                                                  -
                                                                • Invent new applications, contribute to existing applications.

                                                                • -
                                                                • Mature point-solutions that come out of our project teams into reusable software packages.

                                                                • -
                                                                • Build out a centralized static-site deployment and hosting solution.

                                                                • -
                                                                • Contribute to our distributed service/software registry platform.

                                                                • -
                                                                • Develop packaging, documentation, and AI/ML experiment templates.

                                                                • -
                                                                -
                                                                -
                                                                  -
                                                                • Identify new opportunities and invent and implement new solutions.

                                                                • -
                                                                • Help onboard and upskill our growing team.

                                                                • -
                                                                -

                                                                -

                                                                About You

                                                                -

                                                                You’re a fit for the role of Senior Cloud and DevOps Engineer if you:

                                                                -
                                                                -
                                                                  -
                                                                • Have experience leading other developers, prioritizing, and executing work-items.

                                                                • -
                                                                • Have experience with systems design – architecting and deploying software solutions.

                                                                • -
                                                                • Are biased towards trying thingsvalidating and getting feedback as you 0plan.

                                                                • -
                                                                • Value user-experience you desire to make things simple for yourself and others.

                                                                • -
                                                                -
                                                                -
                                                                  -
                                                                • Enjoy shipping codeyou know how to use CI/CD to achieve continuous improvement.

                                                                • -
                                                                • Have great verbal and written communication skills.

                                                                • -
                                                                • Are comfortable promoting solutions internally and externally.

                                                                • -
                                                                -

                                                                -

                                                                Must have experience with tools:

                                                                -
                                                                -
                                                                  -
                                                                • Git, GitHub

                                                                • -
                                                                • CI/CD: GitHub Actions and/or AWS CodeBuild

                                                                • -
                                                                • AWS: CloudFormation, S3, ECS, EC2, Lambda, API Gateway, etc.

                                                                • -
                                                                • APIs: REST, GraqphQL

                                                                • -
                                                                -
                                                                -
                                                                  -
                                                                • NoSQL: MongoDB, Elasticsearch

                                                                • -
                                                                • Docker

                                                                • -
                                                                -

                                                                -

                                                                Preference towards those who also have some experience with:

                                                                -
                                                                -
                                                                -
                                                                  -
                                                                • Python, JavaScript (ES6) / TypeScript

                                                                • -
                                                                • Veracode, Sonarqube, similar

                                                                • -
                                                                • Solution architecture leadership

                                                                • -
                                                                • Any prior data-science or machine-learning exposure

                                                                • -
                                                                -

                                                                -
                                                                -
                                                                -

                                                                What’s in it For You?

                                                                -

                                                                You will join our inclusive culture of world-class talent, where we are committed to your

                                                                -

                                                                personal and professional growth through:

                                                                -

                                                                -
                                                                • COVID-19 Response: Currently the majority of our employees are working within a hybrid environment consisting of in-office and remote work, and following local COVID-19 bylaws and guidelines.

                                                                -
                                                                -
                                                                  -
                                                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                                • -
                                                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                                • -
                                                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                                • -
                                                                • Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                                • -
                                                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                • -
                                                                -

                                                                -

                                                                #LI-LP2

                                                                -

                                                                -

                                                                COVID-19 Vaccination Status Information Requirement (US employees only):

                                                                -

                                                                Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                                -

                                                                -

                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                -

                                                                -

                                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                -

                                                                -

                                                                Accessibility

                                                                -

                                                                -

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                -

                                                                -

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                -

                                                                -

                                                                -

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                -

                                                                -

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                -
                                                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Software-Engineer---Full-Stack---Web-Dev_JREQ155310?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-08-25T13:37:01.844Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/142619249-senior-devops-engineer-ai-ml-at-thomson-reuters,,expired,2022-08-08T13:32:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -ad32f0a3-f842-4aad-b06b-78bf0be292f8,140448387,Deloitte,"Senior Consultant, AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2022-07-31T02:43:02.340Z,"

                                                                -

                                                                Job Type: Permanent
                                                                Reference code: 103941
                                                                Primary Location: Toronto, Ontario, Canada
                                                                All Available Locations: Toronto

                                                                -
                                                                -

                                                                -

                                                                Our Purpose

                                                                -

                                                                -

                                                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                -

                                                                By living our Purpose, we will make an impact that matters.

                                                                -
                                                                • Be encouraged to deepen your technical skills…whatever those may be.
                                                                • Partner with clients to solve their most complex problems
                                                                • Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                                • +
                                                                • Min 3 years of web development experience.
                                                                • +
                                                                • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                                • +
                                                                • Must have worked with reactive development.
                                                                +


                                                                Preferable:

                                                                +
                                                                  +
                                                                • SQL
                                                                • +
                                                                • Data Visualization frameworks like D3, C3 etc
                                                                • +
                                                                • Basic knowledge of AWS
                                                                • +
                                                                • Agile development methodology TEST.
                                                                • +
                                                                ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-09-04T13:29:00.000Z,False,0,0,49,https://talenthub.vectorinstitute.ai/jobs/37638629-full-stack-developer-at-darwin-ai,,expired,2020-08-05T13:29:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, +09687f2d-8297-4510-bc0b-ab214747262e,178993304,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2022-12-19T17:24:02.800Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -
                                                                -

                                                                -

                                                                Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                                -
                                                                -
                                                                -

                                                                What will your typical day look like?

                                                                -
                                                                -

                                                                As a Senior Consultant in the AI Strategy team, you will work directly with the AI & Analytics Academy Lead to design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of executives and technical/ quantitative professionals from client organizations.

                                                                -


                                                                As an individual, you have a deep-rooted passion for improving education and understand that learning and development is an interdisciplinary pursuit. You draw insights from multiple fields of interest such as cognitive neuroscience, educational psychology, behavioral economics, and data science to improve upon and impact the everchanging landscape of clients worldwide.

                                                                -


                                                                Responsibilities:
                                                                As a Senior Consultant, your role will comprise of activities related to the design and delivery of a number of our AI Academy offerings.
                                                                • Design tailored AI and Advanced Analytics learning programs
                                                                • Develop best in class data literacy programs for clients in different industries and with different levels of maturity
                                                                • Design, deploy and analyze data literacy assessments using tools like Microsoft Excel, PowerPoint, Power BI, and Tableau
                                                                • Recommend learning pathways for different learner personas
                                                                • Build high quality content and design impactful learning experiences using client or industry data sets
                                                                • Bring forth your technical skillsets (R, Python) or related technical aptitude to learn and teach others how to use the latest technologies Develop and/or refine frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                                                • Customize existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                                                • Prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                                                • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                                                • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                                                • Design pre and post program surveys to assess impact of learning programs
                                                                Deliver tailored AI and Advanced Analytics learning materials
                                                                • Coordinate all capabilities required to deliver on the program
                                                                • Ensure a seamless delivery of learning programs by leveraging the following enablers

                                                                -
                                                                • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                                                • People: Train and organize Client and Deloitte facilitators and co-facilitators to build a high-performing Faculty team
                                                                • +

                                                                  +

                                                                  Department Overview

                                                                  +

                                                                  We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  +

                                                                  About this Role

                                                                  +

                                                                  As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                  +

                                                                  Must-Have

                                                                  +
                                                                    +
                                                                  • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                  • +
                                                                  • Experience with building and scaling data-intensive software in Python
                                                                  • +
                                                                  • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                  • +
                                                                  • Experience building and manage a machine learning data pipeline
                                                                  • +
                                                                  • You value good software design and sweat over details in code and API design
                                                                  • +
                                                                  • You enjoy learning new technology and educating others
                                                                  • +
                                                                  • You strive to communicate clearly and with empathy
                                                                  • +
                                                                  • You take great personal pride in building robust and scalable software
                                                                  • +
                                                                  • You are highly accountable and have a strong sense of ownership
                                                                  • +
                                                                  • Ability to do detailed code reviews and give thoughtful feedback
                                                                  • +
                                                                  +

                                                                  Nice to have:

                                                                  +
                                                                    +
                                                                  • Experience building a library or a framework
                                                                  • +
                                                                  • Knowledge of machine learning algorithms
                                                                  • +
                                                                  • Experience with Azure cloud stack
                                                                  • +
                                                                  • Data analytics
                                                                  • +
                                                                  • Knowledge with C++
                                                                  • +
                                                                  • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                  +

                                                                  +

                                                                  Requirements

                                                                  +
                                                                  +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  +
                                                                    +
                                                                  • University or post-graduate degree
                                                                  • +
                                                                  • Strong academic background (e.g., computer science, engineering)
                                                                  • +
                                                                  • 2+ years relevant experience
                                                                  • +
                                                                  +

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  +#LI-Hybrid #datascientist
                                                                  +

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  +

                                                                  +
                                                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:08.499Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/178993304-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-11-21T17:42:06.898Z,"
                                                                -

                                                                About the team

                                                                +

                                                                Description

                                                                -

                                                                Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                                -

                                                                Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                                                +

                                                                +

                                                                Our team and what we\'ll accomplish together

                                                                +

                                                                +

                                                                The Marketing, Strategy and Data Insights team supports TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                +

                                                                +

                                                                You’ll collaborate with teams across the company, seeking out innovative data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                                                +

                                                                +

                                                                As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploration of datasets, development of novel AI techniques, to automation of pipelines and ML models; be a leader in our cloud migration journey.

                                                                +

                                                                +

                                                                What you\'ll do

                                                                +

                                                                +
                                                                  +
                                                                • Lead the iterative development, validation, and deployment of AI/ML models
                                                                • +
                                                                • Collaborate on end-to-end automation efforts required to bring models to production
                                                                • +
                                                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                • +
                                                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                • +
                                                                • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                • +
                                                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                • +
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • +
                                                                +

                                                                +

                                                                -

                                                                Enough about us, let’s talk about you

                                                                +

                                                                Qualifications

                                                                -

                                                                You are someone with:

                                                                -

                                                                • Minimum of five years’ work experience in the data, analytics, or AI domains
                                                                • Completed Undergraduate Bachelor’s Degree in (Computer Science, Mathematics, Engineering, Education or closely related field of study )
                                                                • Experience teaching adults in various formats such as in-person, online or blended environments
                                                                • Exceptional senior stakeholder management skills
                                                                • Superior written and verbal communication skills and sstrong attention to detail
                                                                • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                                                • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                                                • Be comfortable working in an ambiguous environment with competing deadlines and rapidly evolving client needs and conditions
                                                                • Commitment to quality, ethics and confidentiality

                                                                -


                                                                If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
                                                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                                -
                                                                -
                                                                -

                                                                -

                                                                Our promise to our people: Deloitte is where potential comes to life.

                                                                +

                                                                What you bring

                                                                -

                                                                Be yourself, and more.

                                                                -

                                                                We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                -

                                                                You shape how we make impact.

                                                                -

                                                                Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                -

                                                                Be the leader you want to be

                                                                -

                                                                Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                -

                                                                Have as many careers as you want.

                                                                -

                                                                We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                The next step is yours

                                                                +
                                                                  +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • +
                                                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                                                • +
                                                                • You possess advanced knowledge in SQL and Apache Spark
                                                                • +
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • +

                                                                -

                                                                At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                -

                                                                We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                                -

                                                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                -

                                                                ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-AI-&-Analytics-Academy%2C-Omnia-AI-ON/879083900/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-08-25T17:51:00.000Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/140448387-senior-consultant-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-AI-&-Analytics-Academy%2C-Omnia-AI-ON/879083900/,expired,2022-07-31T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -7db07494-300e-4423-9c70-2b1144336c9b,146264746,CIBC,"Director, Data Science, Digital Analytics and Integration",on_site,"Ontario, Canada",2022-08-25T10:46:25.200Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                -

                                                                Reporting to the Senior Director, Digital Analytics and Integration you will be a leader in the team responsible for implementing Analytics frameworks for Data Science initiatives such as personalization, customer journey analytics, propensity modeling and insights. You will be hands-on analyzing data, working with cross-functional teams, identifying relevant features and building a wide array of models to power and guide strategic initiatives. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. You’ll interact with groups across the organization from client facing to product, operational, risk and security. You will also lead communicating model recommendations and connecting the outputs to measurable business KPIs and targets.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                -

                                                                -

                                                                How You’ll Succeed

                                                                -

                                                                -

                                                                Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                -

                                                                Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

                                                                -

                                                                Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs.

                                                                -

                                                                -

                                                                -

                                                                Who You Are

                                                                -

                                                                -

                                                                You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, Pandas, Scikit-Learn, Keras, Matplotlib, PyTorch or SparkML. Must have experience on one or more cloud based platforms, preferably Azure.

                                                                -

                                                                -

                                                                You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.

                                                                -

                                                                -

                                                                You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

                                                                -

                                                                -

                                                                You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                                -

                                                                -

                                                                You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                -

                                                                -

                                                                You have people management experience where you have led a team of individuals to come together and deliver results on time.

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • +
                                                                • GCP or other cloud certifications #LI-REMOTE +
                                                                • +
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/565302217/,feed-importer@jobboard.io,,,,2022-12-24T13:48:41.181Z,False,0,7,66,https://talenthub.vectorinstitute.ai/jobs/169479517-data-scientist-at-telus,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,PhD,New Posting, +9c79cb31-b526-4503-a38c-a20c8dbf70c9,170605616,TD Bank Group,Machine Learning Engineer Framework (Layer 6),on_site,"Toronto, ON",2022-11-24T17:24:03.072Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                +

                                                                Department Overview

                                                                +
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                +

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +

                                                                -

                                                                What CIBC offers

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                Job Description

                                                                +
                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have a real world impact. The goal of the framework is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration.

                                                                +

                                                                As part of the Machine Learning Frameworks team, you will design and build the cloud-based core engine powering enterprise use cases at the bank, enabling scientists to build high-quality machine learning models. You will work with ML product engineers, Ops teams, and scientists to ensure our frameworks can support use cases deployed on our computing infrastructure.

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
                                                                • +
                                                                • Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.
                                                                • +
                                                                • Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
                                                                +

                                                                Customer Accountabilities:

                                                                +
                                                                  +
                                                                • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                                                                • +
                                                                • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                                                                • +
                                                                • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                                                                • +
                                                                • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                                                                • +
                                                                • Act as the expert or lead innovator and agent of change for the programs and services under management
                                                                • +
                                                                • Work with other teams to implement best practices for engineering and management
                                                                • +
                                                                • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                                                                • +
                                                                • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                                                                • +
                                                                • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                                                                • +

                                                                -

                                                                -

                                                                What you need to know

                                                                +

                                                                Requirements

                                                                +
                                                                +Must-Have:

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Experience with building and scaling data-intensive software.
                                                                • +
                                                                • You value good software design and sweat over details in code and API design.
                                                                • +
                                                                • You enjoy learning new technology and also educating others.
                                                                • +
                                                                • You take great personal pride in building robust and scalable software.
                                                                • +
                                                                • You strive to communicate clearly and with empathy.
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                +

                                                                Nice to have

                                                                +

                                                                Experience building a library or a framework.
                                                                Experience using spark or other distributed data frameworks.
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.

                                                                Knowledge of distributed systems.

                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 25th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Advance Analytics, Advanced Analytics, Deep Analytics, Predictive Analytics
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Data-Science--Digital-Analytics-and-Integration_2226600,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-09-05T10:51:08.706Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/146264746-director-data-science-digital-analytics-and-integration-at-cibc,,expired,2022-08-25T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7a690881-77c9-4dd6-a0b8-1474a0e45f92,146918041,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-08-30T01:56:05.434Z,"
                                                                -
                                                                -

                                                                What\'s the opportunity?

                                                                -

                                                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-26T17:29:06.226Z,False,0,11,54,https://talenthub.vectorinstitute.ai/jobs/170605616-machine-learning-engineer-framework-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +0177694f-f5b2-45b6-9ac4-9f45750c5a3a,195761431,Bell Canada,"ON - 2023 Internship Program - Customer Experience, Marketing, and Applied Technologies",on_site,"Toronto, Ontario",2023-02-12T17:21:03.921Z,"

                                                                Req Id: 390452

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                +

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                -

                                                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                -
                                                                -
                                                                -

                                                                Your responsibilities include:

                                                                -
                                                                  -
                                                                • Developing novel AI solutions that facilitate impactful products;
                                                                • -
                                                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                • -
                                                                • Working with the development team to transfer research work into production;
                                                                • -
                                                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                • -
                                                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                You’re our ideal candidate if you have:

                                                                -
                                                                  -
                                                                • A passion for solving open problems using data and algorithms;
                                                                • -
                                                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                • -
                                                                • Ability to formulate and drive a research project independently without close supervision;
                                                                • -
                                                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                What’s in it for you?

                                                                -
                                                                -
                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • -
                                                                -

                                                                About Borealis AI

                                                                -
                                                                -
                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                Revised Application Deadline: 02/26/2023

                                                                -
                                                                ",,https://www.borealisai.com/careers/?gh_jid=5409806002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-09-08T16:03:00.000Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/146918041-machine-learning-researcher-at-borealis-ai,,expired,2022-08-30T01:56:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -2b518b39-54f0-4070-80ae-310bd9e0253e,147915025,integrate.ai,Senior Software Engineer,full,Toronto or Remote (within 5 hours of ET),2022-09-02T05:07:05.352Z,"

                                                                At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                                -

                                                                We are looking for an incredible Senior Software Engineer who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                                -

                                                                Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                                +

                                                                Over the course of our three-month internship program, you will:

                                                                -

                                                                What you will be doing:

                                                                  -
                                                                • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                                • -
                                                                • Building impactful services and features in a way that you can be proud of
                                                                • -
                                                                • Operating services at scale and with world class reliability
                                                                • -
                                                                • Extending and improving your services to drive better outcomes for people
                                                                • -
                                                                • Contributing to the growth and development of your colleagues and the company
                                                                • -
                                                                • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                                • -
                                                                • Building client facing and internal web applications
                                                                • -
                                                                • Working with Data Scientists to create robust machine learning applications
                                                                • -
                                                                • Be responsible for designing and implementing features for several large projects
                                                                • -
                                                                • Participating in infrastructure development and operations
                                                                • -
                                                                • Managing existing codebase and developing new products for customers
                                                                • -
                                                                • Implementing integration with existing customer systems and providing support and documentation
                                                                • -
                                                                • Participating in agile project planning and estimation
                                                                • -
                                                                • Providing on-demand developer support directly to clients and their partners
                                                                • +
                                                                • Learn from the customer: Work directly with our customers through our call centres and online e-chat services as you learn about our services and customer support systems.
                                                                • +
                                                                • Apply your learnings: Improve the customer experience by working with your fellow interns on critical business projects. Our executive team carefully selects project topics, which offer interns an opportunity to make tangible impacts.
                                                                • +
                                                                • Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
                                                                -

                                                                We Value:

                                                                +

                                                                Why join us:

                                                                  -
                                                                • Extensive years experience writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                                • -
                                                                • Superior understanding of computer science fundamentals
                                                                • -
                                                                • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                                • -
                                                                • Experience defining well structured APIs, understanding the client facing nuances of API design.
                                                                • -
                                                                • Experience with relational databases and SQL.
                                                                • -
                                                                • Experience with deployment of services using infrastructure as code such as Terraform, SaltStack, or similar products.
                                                                • -
                                                                • Experience in using/developing monitoring tools to provide great operational feedback.
                                                                • -
                                                                • Familiar with systems design and architecture of multiple complex software features, able to describe, debug and maintain such features.
                                                                • -
                                                                • Nice to have: Machine Learning Operations (MLOps) and/or Data Engineering experience.
                                                                • -
                                                                • Working in an agile environment
                                                                • -
                                                                • Experience with AWS/GCP infrastructure is a plus
                                                                • -
                                                                • Great desire and willingness to learn
                                                                • -
                                                                • Contributions to the mentorship, growth and success of your teammates
                                                                • +
                                                                • Learn how to leverage and use data to drive results as you produce and present business cases to our senior Leadership Team.
                                                                • +
                                                                • Develop your analytical, project management, and communication skills with training and hands-on opportunities to apply your learnings.
                                                                • +
                                                                • Interact with our peer-to-peer support network and receive mentorship from recent Grads enrolled in our full-time Graduate Leadership Program.
                                                                • +
                                                                • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program.
                                                                • +
                                                                +

                                                                You should apply if:

                                                                +
                                                                  +
                                                                • You are graduating in spring 2024.
                                                                • +
                                                                • You are enrolled in a university Bachelor’s degree in engineering, business technology management, computer science, math/statistics, business, or economics.
                                                                • +
                                                                • You are enrolled in a full time STEM-related college program and are required to complete an integrated work experience.
                                                                • +
                                                                +
                                                                  +
                                                                • You are aligned with working in-person at a Toronto-based Bell office location 2-3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.
                                                                • +
                                                                • You have excellent interpersonal and communication skills (verbal and written).
                                                                • +
                                                                • You have introductory experience, or the desire to learn, data tools and software such as SQL, SAS, MicroStrategy, and Unica.
                                                                +

                                                                Application Instructions:

                                                                +
                                                                  +
                                                                1. Apply directly on Bell’s career page.
                                                                2. +
                                                                3. Submit a resume and most recent transcripts (unofficial accepted).
                                                                4. +
                                                                5. +When prompted, indicate three role profiles that interest you. Before submitting your application, please visit jobs.bell.ca/ca/en/campus-glp-customer-operations for more information on each of the following role profiles:
                                                                    +
                                                                  1. Customer Experience Strategy, Design and Delivery
                                                                  2. +
                                                                  3. Operations and Business Strategy
                                                                  4. +
                                                                  5. Digital Advocacy (Web and App)
                                                                  6. +
                                                                  7. Application Developer
                                                                  8. +
                                                                  9. Communications and Brand Development
                                                                  10. +
                                                                  11. Marketing Campaigns and Pricing Strategy
                                                                  12. +
                                                                  13. Channel Sales Strategy
                                                                  14. +
                                                                  15. Product Management (Internet, TV, 5G and IoT)
                                                                  16. +
                                                                  17. Business Intelligence Analyst, Operational Insight and Support
                                                                  18. +
                                                                  19. Machine Learning Developer
                                                                  20. +
                                                                  +
                                                                6. +

                                                                -

                                                                The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                                -

                                                                We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                                ",,https://boards.greenhouse.io/integrateai/jobs/6025328002,feed-importer@jobboard.io,,,,2022-09-09T05:12:06.931Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/147915025-senior-software-engineer-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/6025328002,expired,2022-09-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, -a07a1115-fc2c-4cec-9c15-e8aa6e303fba,147649533,RBC,"Director, IA Analytics Ecosystem",on_site,"Toronto, ON, Canada",2022-09-01T12:53:01.546Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Director, IA Analytics Ecosystem

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                As Director, IA Analytic Ecosystem, you will be accountable for the development of data products and services that span across all platforms in Internal Audit. The role creates new and innovative ways to leverage data across all of RBC’s businesses for new opportunities. The role defines, supports and informs business strategies through the breakdown, analysis and understanding of vast amounts of data, both internal and external to RBC. Provides engagement and leadership to a development team so they can deliver big data solutions for critical applications and regulatory requirements. Interacts with senior leaders to ensure that business value is being generated from the set of enterprise data services that the director is responsible for.

                                                                -


                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                                                                +

                                                                Please note: We hire on a rolling basis. This means that applications are reviewed as they are received and positions may be filled while this job ad is still live. Apply as early as possible to give yourself the best chance!

                                                                +

                                                                +

                                                                #EmployeeReferralProgram

                                                                +

                                                                +

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status:
                                                                Intern
                                                                Job Location:
                                                                Canada : Ontario : Don Mills || Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 11/27/2022

                                                                +

                                                                +

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                +


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                +

                                                                +

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                +

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                +

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA390452EXTERNALENCA/ON-2023-Internship-Program-Customer-Experience-Marketing-and-Applied-Technologies?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-15T17:26:04.415Z,True,0,2,12,https://talenthub.vectorinstitute.ai/jobs/195761431-on-2023-internship-program-customer-experience-marketing-and-applied-technologies-at-bell-canada,BECACA390452EXTERNALENCA,expired,2023-02-12T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, +7846eaf0-7ac7-4b00-a35e-813bb39f5716,189731374,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-01-24T17:42:04.470Z,"
                                                                +

                                                                +

                                                                +

                                                                Vision and Core Values

                                                                -

                                                                What will you do?

                                                                +

                                                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                +

                                                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                  -
                                                                • Strong Collaboration and Stakeholder management. Partner with Internal Audit Product Owners and Data Leads to understand business objectives and technology requirements in order to lead, support and recommend solutions that add business value, both current and future
                                                                • -
                                                                • Lead and execute Proof of Concept (POC) for new technologies and present feedback, recommendation and/or final decisions
                                                                • -
                                                                • Lead and evolve Audit Data Domain custodianship through automation for data catalogue, data lineage and data quality integration with CDO data governance platform
                                                                • -
                                                                • Lead the upkeep and maintenance of the Ecosystem infrastructure, analytics process and ensuring technology currency
                                                                • -
                                                                • Develop new and evolve current analytics capabilities and standards to ensure efficiencies and effectiveness in IA data management and analytics practice.
                                                                • -
                                                                • Lead and actively pursue innovation and ideation. Present opportunities and proposed architecture to senior leadership and lead the build out of those opportunities.
                                                                • -
                                                                • Lead and actively pursue automation opportunities to drive Audit efficiencies
                                                                • -
                                                                • Demonstrate leadership presence: Establish credibility by demonstrating subject matter expertise and knowledge in process excellence, be confident, authentic and effective, respect diversity and coach others, connect and engage stakeholders, build rapport, build strong relationships subject matter experts
                                                                • +
                                                                • Investing to earn outstanding returns with due regard for risk
                                                                • +
                                                                • Partnering with like-minded investment managers
                                                                • +
                                                                • Providing high quality service to our members and employers
                                                                • +
                                                                • Delivering value for money
                                                                • +
                                                                • Building a culture of excellence and pride in OMERS
                                                                +

                                                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                +

                                                                Value Proposition

                                                                +

                                                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                +

                                                                +

                                                                Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                +

                                                                Responsibilities:

                                                                  -
                                                                • Undergraduate degree (e.g. B.Com., B. Math, P. Eng., MSc (Data Science)
                                                                • -
                                                                • Extensive experience in a big data environment with a focus on end to end medium/large project development
                                                                • -
                                                                • Exceptional development expertise using Python/APIs/JS/HTML/DAO
                                                                • -
                                                                • Exceptional knowledge of Database technologies SQL. Hadoop and Data Engineering tools e.g. Dataiku, Data stage and Data Visualization tools e.g. Tableau
                                                                • -
                                                                • Strong knowledge for creation of automated unit tests, integration, end-to-end testing and DevOps practices (E.g. CI/CD).
                                                                • -
                                                                • Undergraduate STEM degree (e.g. B.Sc, P. Eng.)
                                                                • +
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                • +
                                                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                • +
                                                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                • +
                                                                • Automate manual processes and optimize data delivery
                                                                • +
                                                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                • +
                                                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                • +
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • +
                                                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                • +
                                                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support

                                                                -

                                                                Nice-to-have

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • Post-Graduate coursework e.g., (MSc in Data Science)
                                                                • -
                                                                • Functional knowledge of Predictive Analytics and Statistical Modelling (using R and/or Python)
                                                                • -
                                                                • A good sense of UX/UI design and visualization for translating business user stories to working prototypes with HTML5/CSS,Plot.ly ,D3 JavaScript libraries
                                                                • +
                                                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                • +
                                                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                • +
                                                                • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                • +
                                                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                • +
                                                                • Deep proficiency in SQL, Python, and similar languages
                                                                • +
                                                                • Good understanding of investment products
                                                                • +
                                                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                • +
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • +
                                                                • Investment data modeling experience using the Kimball method is an asset
                                                                • +
                                                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                • +
                                                                • Data governance experience is an asset
                                                                • +
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field

                                                                +

                                                                And you demonstrate:

                                                                +
                                                                  +
                                                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                • +
                                                                • A teammate mentality coupled with servant leadership
                                                                • +
                                                                • A sense of urgency, optimism, and a desire to deliver excellence
                                                                • +
                                                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                • +
                                                                • Strong orientation towards strategy, change, and results
                                                                • +
                                                                • A continuous improvement mindset
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                What’s in it for you? This is standard

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4307?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,12,45,https://talenthub.vectorinstitute.ai/jobs/189731374-data-engineer-finance-data-at-omers,,expired,2023-01-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-01-27T17:42:02.489Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                Join our team and what we\'ll accomplish together

                                                                +

                                                                +

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                                The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                                +


                                                                What you’ll do

                                                                +

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work and make lasting through Business value generation
                                                                • +
                                                                • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                                • +
                                                                • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                                • +
                                                                • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                                                                • +
                                                                • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                                • +
                                                                • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                                • +
                                                                • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +


                                                                What you bring

                                                                +

                                                                +
                                                                  +
                                                                • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                                • +
                                                                • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                                • +
                                                                • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • +
                                                                • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                                                                • +
                                                                • You are experienced with Informatica IICS and Powercenter ETL tools
                                                                • +
                                                                • You have a strong SQL foundation
                                                                • +
                                                                +



                                                                Great-to-haves

                                                                +
                                                                  +
                                                                • You are experienced in the data engineering field and comfortable in leading projects in it.
                                                                • +
                                                                • You have GCP or other cloud certification.
                                                                • +
                                                                • Scrum Master Certified
                                                                • +
                                                                • PMP Certified
                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-07-28-07:00

                                                                Application Deadline:

                                                                2022-09-12-07:00
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000023046/Director-IA-Analytics-Ecosystem,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-09-12T12:58:02.672Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/147649533-director-ia-analytics-ecosystem-at-rbc,,expired,2022-09-01T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -82818e57-a43c-4078-8b43-880a50c23a53,147842970,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-09-02T01:51:16.441Z,"
                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/190519196-product-owner-data-engineering-at-telus,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +869e530d-76a0-4c8a-bff1-719c056a63de,187920680,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-01-17T17:24:03.138Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -45669,1463 +45377,1563 @@ a07a1115-fc2c-4cec-9c15-e8aa6e303fba,147649533,RBC,"Director, IA Analytics Ecosy

                                                                Department Overview

                                                                -

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                +
                                                                +

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                +

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                +

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                +

                                                                Job Description

                                                                About this Role

                                                                -

                                                                Are you an experienced data steward and data analysis expert? If so, this role offers a hands-on opportunity to execute on line of business data strategy, working in alignment with Bank-wide data standards and policy. This is an expert professional role requiring in-depth knowledge in your field of specialty and working knowledge of broader related areas. You may be appointed Data Steward for your line of business.

                                                                -

                                                                As a Data Steward I, you will:

                                                                +

                                                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                                                +

                                                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                                                +

                                                                As a Data Scientist III, these are the essential qualifications of this role:

                                                                  -
                                                                • Identify and monitor the quality of critical data elements
                                                                • -
                                                                • Complete metadata and data quality tasks
                                                                • -
                                                                • Partner with technology and architecture colleagues and contacts to drive effective data related activities for LOB
                                                                • -
                                                                • Participate in cross-functional/enterprise initiatives by conducting research and analysis related to data changes and issues
                                                                • -
                                                                • Understand, remediate and implement changes in various forums on behalf of LOB
                                                                • -
                                                                • Provide specialized data governance / management advice and support to teams, management, leadership
                                                                • -
                                                                • Understand trends, identify issues and opportunities and recommend action to management
                                                                • -
                                                                • Manage data work activities requiring coordination across multiple areas
                                                                • -
                                                                • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                • -
                                                                • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                                • +
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • +
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • +
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • +
                                                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                                • +
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • +
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • +
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • +
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • +
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                                                                Requirements

                                                                -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Five (5) or more years relevant experience
                                                                • -
                                                                • Skill in using software tools, applications, data analysis methods
                                                                • -
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Ten (10) or more years of relevant experience
                                                                • +
                                                                • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
                                                                • +
                                                                • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist
                                                                +

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-12T20:00:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/147842970-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,expired,2022-09-02T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -8117d3ef-37ad-4ff5-99bd-f5f893624b48,149267185,Sun Life Financial,Lead Data Engineer,on_site,"Ontario, Canada",2022-09-08T07:26:01.664Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                -

                                                                We are looking for an experienced and high-performing individual to join our Data and Analytics Delivery team as a Lead Data Engineer. This senior technical leadership role is responsible for the design, build, deployment, and support of data integration for BI reporting and analytic solutions, and application integration solutions using Informatica Intelligent Cloud Services (IICS), Python, AWS Glue and supporting tools and services. The Delivery team is involved in exciting projects using leading-edge technologies and leveraging our AWS Cloud based data platform for advanced analytics and data science.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Provide leadership on the construction and maintenance of robust and efficient data applications and reusable frameworks
                                                                • -
                                                                • Responsible for coordinating or participating in all aspects of the development cycle from design and development to release planning and implementation of data systems.
                                                                • -
                                                                • Mentor and guide other data developers across various locations to ensure all code follows applicable standards and is efficient and easily maintainable
                                                                • -
                                                                • Translate requirements into detailed functional and technical design using architecturally approved technology
                                                                • -
                                                                • Provide high level solution options and estimates for project proposals, and detailed work estimates in support of assigned work
                                                                • -
                                                                • Deliver solutions according to Systems Development Life Cycle (SDLC) methodology for either waterfall or agile projects
                                                                • -
                                                                • Provide consultation for the evaluation of data and software systems.
                                                                • -
                                                                • Develop and manage effective working relationships with other departments, groups or personnel with whom work must be coordinated.
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -
                                                                  -
                                                                • Minimum 7-10 years of experience in developing solutions for data warehouse loads and system integrations using ETL tools and demonstrated experience using IICS
                                                                • -
                                                                • Experience designing and building development framework for IICS
                                                                • -
                                                                • Minimum 3 years of experience with Big Data including knowledge of Hive
                                                                • -
                                                                • Essential to have demonstrated strong core competency in SQL
                                                                • -
                                                                • Experience with creating complex data frames/structures in Hadoop for data integration and complex calculations
                                                                • -
                                                                • Specialized in full end-to-end data solutions, from data assessment needs to data structure building, to data modelling, and data visualizations
                                                                • -
                                                                • Excellent collaboration and leadership skills and proven ability to adapt to challenges, coaching and mentoring
                                                                • -
                                                                • Ability to work in a global multi-site environment and working in a matrix environment, onshore/offshore IT mode
                                                                • -
                                                                • Ability to lead a team of diverse skill sets and interface with peripheral technical teams
                                                                • -
                                                                -

                                                                -

                                                                Preferred Skills

                                                                -
                                                                  -
                                                                • Experience with production implementation change management processes
                                                                • -
                                                                • Experience with project management and software development life cycle/SDLC; Agile and Lean (5+ years)
                                                                • -
                                                                • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting (5+ years)
                                                                • -
                                                                • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                  -
                                                                • A flexible work schedule, so long as it includes core working hours
                                                                • -
                                                                • Competitive salary
                                                                • -
                                                                • Being part of our journey in developing the next greatest digital experience
                                                                • -
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                                • -
                                                                • Wellness programs that support the three pillars of your health – mental, physical and financial.
                                                                • -
                                                                • Membership in a highly collaborative, supportive, and productive team
                                                                • -
                                                                • An extensive support system for continual learning including company-run courses and access to online learning platforms
                                                                • -
                                                                -

                                                                -

                                                                * Candidates must be eligible for Reliability Status Clearance which requires that they have lived and worked in Canada for the previous 5 consecutive years. No exceptions, please.

                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                74,900/74 900 - 125,900/125 900

                                                                -

                                                                Job Category:

                                                                IT - Technology Services

                                                                -

                                                                Posting End Date:

                                                                25/09/2022
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Lead-Data-Engineer_JR00062778-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-09-26T18:34:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/149267185-lead-data-engineer-at-sun-life-financial,,expired,2022-09-08T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -ccde5543-bcce-4fdd-b0bd-f798e429d7df,149429484,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-09-09T01:51:16.607Z,"
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/187920680-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-01-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +413b8ae1-6ce9-4c74-a6d0-4c5f3ad8ce88,190518303,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-01-27T17:24:07.558Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role
                                                                Are you an experienced data steward or data governance professional? Are you able to identify and manage data risk? If so, this role will enable you to support lines of business to identify and address various data risks, working in alignment with Bank-wide data standards and policy. This role will report into the Manager, Data Steward.

                                                                +

                                                                As a Data Steward, your ability to analyze, organize and prioritize will be foundational to your success in the role. You will act as a subject matter expert and develop and maintain a robust understanding of governance and control requirements. Your strong ability to work with multiple stakeholders and form positive working relationships will be key. As a key member of the team, you will:

                                                                +
                                                                  +
                                                                • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
                                                                • +
                                                                • Review and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
                                                                • +
                                                                • Monitor, track and assess Line of Business (LOB) adherence to Enterprise Data Policies and Standards
                                                                • +
                                                                • Support governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality management and data retention and disposition
                                                                • +
                                                                • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs / policies / practices
                                                                • +
                                                                • Deliver training, tools, and advice to support the governance and oversight of data
                                                                • +
                                                                • Coordinate and partner with other control partners to support LOB implementation and execution of data governance requirements and associated controls to mitigate data risk
                                                                • +
                                                                • Understand trends, identify issues and opportunities, and recommend action to management
                                                                • +
                                                                • Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality; escalate issues where appropriate
                                                                • +
                                                                • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                • +
                                                                • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Five (5) or more years relevant experience
                                                                • +
                                                                • Solid understanding of data governance principles and an understanding of data risk and data management
                                                                • +
                                                                • Solid understanding of data structures and data flows
                                                                • +
                                                                • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently and proactively
                                                                • +
                                                                • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
                                                                • +
                                                                • Proficient in Microsoft Suite of products (Office 365, Excel, PowerPoint, Word, Outlook)
                                                                • +
                                                                • Experience working with JIRA and Confluence is considered an asset
                                                                • +
                                                                • Problem solving capabilities are required along with a strong focus on attention to detail
                                                                • +
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members, and build positive relationships across teams and functions
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/190518303-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0245e7f5-43ce-44e3-a857-0b9f94a88289,196078036,TD Bank Group,"Senior Manager, Data Analytics & Reporting (FRC group)",on_site,"Toronto, ON",2023-02-13T17:24:02.266Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                -

                                                                Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                                                will work with experienced colleagues, receive world class training, and be part of a community of students across
                                                                TD, where you will have an impact, grow as individual and experience our culture of care.
                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                                                understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                                                program is designed to complement your on-the job experience and features:

                                                                -
                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • -
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                Job Description

                                                                -

                                                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                                                on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                                                vary by area. They may include, but are not limited to the following:

                                                                +

                                                                Senior Manager, Data Analytics & Reporting, Finance Risk Controls will be responsible for executing the detailed analytical work related to production of oversight and governance reporting, running monthly/quarterly completeness checks and managing dashboards within TD’s data environment and suite of tools (e.g., HIVE, PySpark, Tableau). The individual will support the team in strengthening of internal controls and enhancing governance and Quality Check (QC) program for financial controls across the Bank. The individual will support the team(s) in ensuring compliance with Finance policies and effectiveness of controls related to financial reporting.

                                                                +

                                                                Specific Functions and Accountabilities

                                                                  -
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                • -
                                                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                • -
                                                                • Design, develop and deploy system enhancements
                                                                • -
                                                                • Perform Unit and System Integration tests
                                                                • -
                                                                • Document system deployment plans for system implementation and code deployment
                                                                • -
                                                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                • -
                                                                • Provide recommendations with full usability analysis
                                                                • -
                                                                • Perform root-cause analysis and resolution of application defects
                                                                • -
                                                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                • +
                                                                • Managing end-to-end production of reports and dashboards supporting FRC in its mandate of oversight certain Finance policies and financial reporting controls
                                                                • +
                                                                • Executing data pipeline and performing data engineering tasks using big data processing tools like HIVE, PySpark
                                                                • +
                                                                • Performing bug fixes and updating existing business logic based on business feedback.
                                                                • +
                                                                • Creating new metrics/tables and integrating them into the data pipeline on an ongoing basis
                                                                • +
                                                                • Running any manual processes to support production of dashboards, e.g., preparing files for data ingestion into TD’s analytics environment
                                                                • +
                                                                • Understanding metrics and validating those metrics with business partners, validating data quality for key performance metrics and performing root-cause analysis for any discrepancies noted, in alignment with relevant business partners
                                                                • +
                                                                • Gathering requirements for creation of new metrics and reports for dashboards arising from evolving needs
                                                                • +
                                                                • Collaborating with business partners in sourcing and maintaining reports and dashboard
                                                                • +
                                                                • Leading review and walkthrough sessions with various business and technology partners
                                                                • +
                                                                • Maintaining, prioritizing and implementing a feature backlog based on user feedback
                                                                • +
                                                                • Enhancements of reporting and dashboard design to optimize dashboard performance
                                                                • +
                                                                • Supporting management supervision and review, ongoing training needs, and change management.
                                                                • +
                                                                • Supporting dashboard user access management
                                                                • +
                                                                • Documenting and setting up of operating procedures to support dashboard implementation e.g., data lineage, metric formulation, data modelling, use cases, etc.
                                                                • +
                                                                • Preparing ad hoc reports and presentations, as required

                                                                Requirements

                                                                -
                                                                  -
                                                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                • -
                                                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                • -
                                                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                • -
                                                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                • -
                                                                • Familiarity with source code management such as GIT
                                                                • -
                                                                • Familiarity with Jira and Confluence
                                                                • -
                                                                • A thirst for constantly exploring emerging technology
                                                                • -
                                                                • Skills that would be an asset, but not required
                                                                    -
                                                                  • Familiarity with RDBMS, Big data
                                                                  • -
                                                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                  • -
                                                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                  • -
                                                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                                                  • -
                                                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                  • +
                                                                    +

                                                                    Specific Educational and Professional Experience Requirements:

                                                                    +
                                                                      +
                                                                    • University degree in business analytics or other relevant fields
                                                                    • +
                                                                    • 5+ years experience in data analytics, reporting and business intelligence roles
                                                                    • +
                                                                    • Strong knowledge of big data processing tools like, Hive and HQL/SQL, Python and PySpark to extract and transform data
                                                                    • +
                                                                    • Advance working knowledge of MS Excel, VBA and PowerPoint is highly preferred
                                                                    • +
                                                                    • Experience in an accounting/finance role (financial services industry desirable)
                                                                    • +
                                                                    • Internal controls experience will be an asset
                                                                    • +
                                                                    • Familiarity with TD businesses, technology, finance and data ecosystem will be an asset
                                                                    • +
                                                                    • Financial reporting, process, operations, internal controls, audit experiences will be an asset
                                                                    - -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding
                                                                which business group and the specific job duties will be provided.

                                                                -

                                                                Early Talent Requirements

                                                                +
                                                                Professional Skills and Competencies Requirements:

                                                                  -
                                                                • This position is a 4-month work term and will commence January 3rd – April 28th, 2023.
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                • +
                                                                • Excellent problem-solving skillsets with ability to interpret new business requirements, undertake deep-dive analysis and translate findings into actionable data insights
                                                                • +
                                                                • Ability to work with numbers, large data sets and their interpretation for business impact
                                                                • +
                                                                • Ability to make recommendations based on a combination of data, professional judgment and common sense
                                                                • +
                                                                • Ability to navigate some level of ambiguity and execute
                                                                • +
                                                                • Ability to synthesize data, extract meaning and utilize relevant information to identify opportunities and provide recommendations
                                                                • +
                                                                • Effective communication skills (both written and verbal), organizational and time-management skills
                                                                • +
                                                                • Good understanding of financial statement assertions and their practical application in controls
                                                                -

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                #FinanceCareers

                                                                Hours

                                                                37.5

                                                                -

                                                                Start Date

                                                                -
                                                                – Winter
                                                                -

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16633461/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-26T18:53:00.000Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/149429484-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16633461/data-engineer-intern-co-op-toronto-ca/,expired,2022-09-09T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,,New Posting, -436a4374-8e88-4f34-840b-05400c0f9c9e,151296958,TELUS,Machine Learning Engineer,on_site,"Ontario, Canada",2022-09-16T07:35:04.611Z,"
                                                                -
                                                                -

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/196078036-senior-manager-data-analytics-reporting-frc-group-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,expired,2023-02-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +3a7b05a4-c9ca-4057-8aba-4f90fd9c6bc5,189729201,BMO Financial Group,"Digital Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-24T17:12:02.474Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                +

                                                                +

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                +

                                                                -

                                                                Our team and what we’ll accomplish together

                                                                -

                                                                -

                                                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                                                -

                                                                -
                                                                  -
                                                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects.
                                                                • -
                                                                • We have flexible work styles with the ability to work in and out of the office.
                                                                • -
                                                                • You will work in a team that actively supports your personal development with progressive training and development tools.
                                                                • -
                                                                -


                                                                What you’ll do

                                                                -

                                                                -
                                                                  -
                                                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies.
                                                                • -
                                                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                                                • -
                                                                • Select appropriate datasets and data representation methods
                                                                • -
                                                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                                                • -
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • -
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • -
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                                • -
                                                                -
                                                                +

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                +

                                                                +

                                                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                                                -
                                                                -

                                                                -
                                                                -

                                                                What you bring

                                                                -
                                                                  -
                                                                • You have 5 + years experience in a data related position
                                                                • -
                                                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                                                • -
                                                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                                                • -
                                                                • You are well versed in software and AI development lifecycles
                                                                • -
                                                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                                                • -
                                                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                                                • -
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • -
                                                                • Google Professional ML Engineering Certification
                                                                • -
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                                                • -
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.)
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • +
                                                                • Analyzes issues and determines next steps.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                                                • +
                                                                • Knowledge of website analytics tools.
                                                                • +
                                                                • Specialized knowledge.
                                                                • +
                                                                • Verbal & written communication skills - Good.
                                                                • +
                                                                • Organization skills - Good.
                                                                • +
                                                                • Collaboration & team skills - Good.
                                                                • +
                                                                • Analytical and problem solving skills - Good.
                                                                -

                                                                #LI-REMOTE

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Calgary-Machine-Learning-Engineer-AB/563183917/,feed-importer@jobboard.io,,,,2022-09-26T18:54:00.000Z,False,0,5,70,https://talenthub.vectorinstitute.ai/jobs/151296958-machine-learning-engineer-at-telus,,expired,2022-09-16T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, -868f1e66-41d0-4bac-b9d1-5f861f48089e,152083424,Omers,"Student, BI Enablement & Data Analytics (Winter 2023, 4 Months)",on_site,"Ontario, Canada",2022-09-20T07:35:06.842Z,"
                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                -
                                                                -

                                                                • Participating in the workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates. Participate in Dashboard in a Day and other Power Platform workshops at Enterprise level
                                                                • Designing and building interactive data visualization using Power BI to provide insights. Developing and monitoring Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                                                • Adopting best practices of development and delivery
                                                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                                                • Operating in an Agile development environment

                                                                -

                                                                -

                                                                To succeed in this role, you have:
                                                                • Knowledge of data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                                                • Knowledge of SQL scripting
                                                                • Knowledge of additional programming language such as Python is an asset
                                                                • Knowledge of machine learning and data science is a plus
                                                                • Excellent written and verbal communication and presentation skills targeted at all levels of the organization

                                                                -

                                                                -

                                                                IMPORTANT: Application Instructions

                                                                -

                                                                To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                                -

                                                                -

                                                                Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                                -
                                                                -

                                                                -

                                                                -

                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                Vaccination Policy

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--BI-Enablement---Data-Analytics--Winter-2023--4-Months-_JR-3822,feed-importer@jobboard.io,,,,2022-09-26T18:14:00.000Z,False,0,8,20,https://talenthub.vectorinstitute.ai/jobs/152083424-student-bi-enablement-data-analytics-winter-2023-4-months-at-omers,,expired,2022-09-20T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, -d7291fc2-9e4d-4547-b7ff-5b4090c8b68c,151145739,Scotiabank,"Drive, Data & Analytics Rotational New Graduate Program",on_site,Canada : Ontario : Toronto,2022-09-15T20:19:02.107Z,"

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-16T17:17:03.685Z,False,0,12,47,https://talenthub.vectorinstitute.ai/jobs/189729201-digital-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-24T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +4b2b896d-6dda-497d-8013-3fc967d30638,192665218,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.528Z,"

                                                                -

                                                                Requisition ID: 161299

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 169910

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Drive, Data & Analytics Rotational New Graduate Program

                                                                -

                                                                -

                                                                Start Date: June 2023

                                                                -

                                                                Location: Toronto, Ontario

                                                                -

                                                                -

                                                                What can I expect from the Drive program?

                                                                -

                                                                -

                                                                The Drive program is a 24-month rotational program designed to provide recent grads passionate about technology with the opportunity to kick-start their career in Data & Analytics by learning the foundational elements of Scotiabank’s Customer Insights Data & Analytics (CID&A) business line. Across their time in program associates will rotate to three areas for 8 months each: Data, Analytics, and Technology. The specific team alignment will be based on business needs with a focus on providing you with insights and breadth of knowledge about this space.

                                                                -

                                                                -

                                                                Through the program you will learn about end-to-end processes from model development to tech implementation and deployment. You can expect mentoring from passionate leaders in the space of Data, Analytics and Technology to support you on your journey and help guide you as you develop technical skills and understanding, setting you up for success to be a future leader in CID&A. After successfully completing the program, our goal is for you to take your learnings into a permanent role where you will continue to innovate and support all business lines at the Bank to leverage data for decision making and innovation to better serve our customers.

                                                                -

                                                                -

                                                                Is this program right for me?

                                                                -

                                                                You are graduating by June 2023 or are a recent graduate who is curious and excited to learn about continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions and tinkering with new and old technologies, ensuring you understand the process end-to-end. You thrive in an ever-changing environment and want to be a part of something BIG. You love to learn and envision yourself working for an international organization that invests in your future.

                                                                -

                                                                -

                                                                You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself someone who can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You are not afraid to roll up your sleeves to get things done!

                                                                -

                                                                -

                                                                More specifically, you have some or all of the following:

                                                                -
                                                                • Strong technical skills with Python, Java, or Scala
                                                                • Solid knowledge of SQL
                                                                • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                                                • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                                                • -
                                                                -

                                                                -

                                                                How do I apply?

                                                                -

                                                                Please complete all three steps below:

                                                                -
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                3. -Complete a coding test through Codility here prior to applying though our career site. You are only allowed one attempt and the assessment must be completed individually. -
                                                                4. -
                                                                -

                                                                -

                                                                Application Deadline: September 21, 2022 at 11:59PM EST

                                                                +

                                                                Purpose:

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-19T17:07:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/151145739-drive-data-analytics-rotational-new-graduate-program-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,expired,2022-09-15T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -5154a43f-00dc-4557-ae70-5354a275174d,146508203,KPMG,"Data Engineer, Lighthouse",on_site,"Toronto, Canada",2022-08-27T01:55:13.745Z,"

                                                                Overview

                                                                -

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                -

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                -

                                                                -

                                                                Why KPMG Lighthouse Exponential?

                                                                -

                                                                -

                                                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                                -
                                                                  -
                                                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                                • -
                                                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                                • -
                                                                • Our teams build and deliver solutions that transform the business of our clients
                                                                • -
                                                                • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                                • -
                                                                -

                                                                KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Engineer to join our team in 2023!

                                                                -


                                                                What you will do

                                                                +

                                                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                                                +


                                                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                                                +

                                                                +

                                                                Specifically, the individual will be responsible for:

                                                                +


                                                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                                                +

                                                                Accountabilities:

                                                                +



                                                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                                                Requirements & Qualifications:

                                                                +



                                                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                                                • Experience in developing executive-friendly presentations and dashboards
                                                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                                                • Strong curiousity to learn with adaptive and creative mindset
                                                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-16T17:27:03.421Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/192665218-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +5f33b2ec-b9ca-4e14-9ce3-9c09fd2e115a,190518298,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-01-27T17:24:07.124Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                You’ll take the helm of a diverse, inclusive and collaborative group of highly skilled analysts that own reporting, insights and forecasting function for Canadian Fraud Performance Management. The Senior Manager reconciles and condenses/summarizes numerous metrics for our Executives and partners. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                +

                                                                +

                                                                TD’s Fraud Strategy team is undergoing transformational change to become global market leaders. Come and lead this journey.

                                                                +

                                                                +

                                                                As a Senior Manager, Forecasting, Reporting and Insights you will:

                                                                  -
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • -
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • -
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • -
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • -
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • -
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • -
                                                                • Support application testing and production implementation as required.
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • -
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • -
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                                • +
                                                                • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                                                                • +
                                                                • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                                                                • +
                                                                • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                                                • +
                                                                • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                                                • +
                                                                • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                                                                • +
                                                                • Set operational team direction and partner to execute on common goals
                                                                • +
                                                                • Manage teams of Business Insights & Analytics professionals/specialists
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • +
                                                                • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • +
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • +
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • +
                                                                • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • +
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • +
                                                                • Build understanding of big data and advanced analytics capability
                                                                • +
                                                                • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                                                                • +
                                                                • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                                                -


                                                                What you bring to the role

                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Education & Experience:

                                                                  -
                                                                • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                • -
                                                                • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                • -
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • -
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • -
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                • +
                                                                • Ten (10) or more years relevant experience
                                                                • +
                                                                • Bachelor’s degree in a numerate discipline (e.g. Statistics, Business) required
                                                                • +
                                                                • Master’s degree in a numerate discipline (e.g. Statistics, Business) preferred
                                                                • +
                                                                • Programming and databases knowledge, ability to process and analyze large volumes of data
                                                                • +
                                                                • Background in reporting automation through BI tools like Tableau, Power BI, Hyperion, etc
                                                                • +
                                                                • Strong leadership and general management skills in overseeing a team and working collaboratively across functions
                                                                • +
                                                                • A high level of integrity, earning the respect and trust of her/his peer group and employees
                                                                • +
                                                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                • +
                                                                • Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • +
                                                                • Demonstrated analytical, financial modeling and problem-solving skills
                                                                • +
                                                                • Solid understanding of Retail Products and Channels
                                                                -

                                                                -

                                                                Keys to your success:

                                                                +

                                                                What will set you apart:

                                                                  -
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • -
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • -
                                                                • Ability to understand and explain business value of data and analytics concepts.
                                                                • -
                                                                • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                • -
                                                                • Experience in visual exploration to perform data discovery and highlight insights
                                                                • -
                                                                • Knowledge of how specific visual components drive usability and understanding
                                                                • -
                                                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                • +
                                                                • Background in Fraud
                                                                • +
                                                                • Reporting automation experience
                                                                • +
                                                                • Knowledge of TD Finance system an asset
                                                                • +
                                                                • Tools: SQL, Hyperion, Tableau, Power BI, Azure
                                                                -

                                                                -

                                                                To apply:

                                                                -

                                                                -

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                -

                                                                -

                                                                Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                -

                                                                -

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                -


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                -

                                                                -

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                -

                                                                -

                                                                Providing you with the support you need to be at your best

                                                                -

                                                                -

                                                                -

                                                                -

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                -


                                                                Our Values, The KPMG Way

                                                                -

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                -

                                                                -

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                -

                                                                -

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                -

                                                                -

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                -

                                                                -

                                                                ",,https://careers.kpmg.ca/students/jobs/17033?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:03:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/146508203-data-engineer-lighthouse-at-kpmg,https://careers.kpmg.ca/students/jobs/17033?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -c64ddf97-2cce-4168-8bb8-aa2d9dfc9603,151256164,KPMG,"Data Analyst, Consultant - GRCS Risk Consulting",on_site,"Toronto, Canada",2022-09-16T01:56:11.866Z,"

                                                                Overview

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Video: Digital Opportunities

                                                                +

                                                                +

                                                                Employee/Team Accountabilities:

                                                                  -
                                                                • Work closely with clients in understanding key business issues.
                                                                • -
                                                                • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                                • -
                                                                • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                                • -
                                                                • Develop a strong experience in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                                                • -
                                                                • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                                • -
                                                                • Work with large volumes of data (structured and unstructured).
                                                                • -
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • -
                                                                • Perform quantitative analysis of data issues.
                                                                • -
                                                                • Effectively communicate orally and written with peers within Governance, Risk and Compliance Services (GRCS), KPMG and the client.
                                                                • -
                                                                • Learn more about Risk Consulting here
                                                                • -
                                                                • Learn more about our Toronto office here
                                                                • +
                                                                • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
                                                                • +
                                                                • Supports the creation of goals and objectives for the business unit/function; Communicates those goals and objectives to the team
                                                                • +
                                                                • Builds capability support / executes plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
                                                                • +
                                                                • Role-models behaviors consistent with TD’s leadership profile, customer and employee experience agendas and risk and control culture
                                                                • +
                                                                • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD’s diversity agenda, and creates an extraordinary employee experience
                                                                • +
                                                                • Leads, coaches and develops a highly effective team by ensuring ongoing training and performance and development management
                                                                -


                                                                What you will do

                                                                -

                                                                As a Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #tdcybersecurity #LI-Post
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/190518298-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +62b8f756-a034-40d6-aca1-3690f5becdf2,194552839,TD Bank Group,eCommerce and Mobile Wallets Intern/Co-op,on_site,"Toronto, ON",2023-02-09T17:24:04.813Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  -
                                                                • Work closely with clients and partners on digital opportunities.
                                                                • -
                                                                • Perform In-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients.
                                                                • -
                                                                • Work with unique data analytic programs to deliver innovative solutions to our clients.
                                                                • -
                                                                • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models.
                                                                • -
                                                                • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations.
                                                                • -
                                                                • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources.
                                                                • -
                                                                • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members.
                                                                • -
                                                                • Develop complex SQL queries to ask questions of large/complex datasets.
                                                                • -
                                                                -


                                                                What you bring to the role

                                                                -

                                                                You have strong work experience and academic record, and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                -
                                                                  -
                                                                • Strong experience of 2-3 years, working with data from a variety of databases.
                                                                • -
                                                                • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks.
                                                                • -
                                                                • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries.
                                                                • -
                                                                • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset.
                                                                • -
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • -
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • -
                                                                • Ability to understand and explain business value of data and analytics concepts
                                                                • -
                                                                • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                • -
                                                                • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                • -
                                                                • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                • -
                                                                • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                • +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                -

                                                                Keys to your success:

                                                                -

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                -

                                                                Providing you with the support you need to be at your best



                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                -

                                                                -


                                                                Our Values, The KPMG Way

                                                                -

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                -

                                                                -

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                -

                                                                -

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                -

                                                                -

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                -

                                                                -

                                                                ",,https://careers.kpmg.ca/professionals/jobs/14799?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:11:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/151256164-data-analyst-consultant-grcs-risk-consulting-at-kpmg,https://careers.kpmg.ca/professionals/jobs/14799?lang=en-us,expired,2022-09-16T01:56:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -1b3631a4-10b7-4f40-95d3-d4734985101c,146508208,KPMG,"Data Scientist, Lighthouse",on_site,"Toronto, Canada",2022-08-27T01:55:14.785Z,"

                                                                Overview

                                                                -

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                -

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                -

                                                                -

                                                                Why KPMG Lighthouse Exponential?

                                                                -

                                                                -

                                                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                                +

                                                                Canadian Card Payments and Loyalty Group
                                                                TD is a leader in the Canadian credit card market with industry leading digital capabilities. TD consumer and business credit cards are distributed nationally, leveraging our retail distribution network, direct response channels and key co-brand partnerships. The Canadian Card Payments & Loyalty team is responsible for strategy, product development, customer lifecycle management, and financial performance of all Canadian credit card products.

                                                                +

                                                                As part of the Canadian Card Payments & Loyalty team, the eCommerce and Mobile Wallets team aims to help TD defend its strong position in payments by facilitating seamless end-to-end digital and frictionless payments experiences for our customers. Specifically, the team is responsible for:

                                                                  -
                                                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                                • -
                                                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                                • -
                                                                • Our teams build and deliver solutions that transform the business of our clients
                                                                • -
                                                                • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                                • +
                                                                • The eCommerce & Mobile Wallet strategy and roadmap
                                                                • +
                                                                • Executing on a number of initiatives to accelerate eCommerce & Mobile Wallets in partnership with the Enterprise payments team
                                                                • +
                                                                • Maintaining relationships with Mobile Wallets providers, assess new mobile wallets solutions and assess opportunities to deepen digital wallet engagement
                                                                -

                                                                KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist to join our team in 2023!

                                                                -


                                                                What you will do

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Reporting to the AVP, eCommerce & Mobile Wallets, the Co-Op will play a key role in conducting research and analysis, contributing to the development & delivery of our strategy and KPIs and building business cases to support investment decisions.

                                                                +

                                                                Key accountabilities:

                                                                  -
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • -
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • -
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • -
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • -
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • -
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • -
                                                                • Support application testing and production implementation as required.
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • -
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • -
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                                • +
                                                                • Support agile delivery of key eCommerce & Mobile Wallet priorities
                                                                • +
                                                                • Supports the preparation of presentation materials (e.g. new initiatives, strategy, performance).
                                                                • +
                                                                • Conducts ad-hoc reporting or analysis as required to support key initiatives.
                                                                • +
                                                                • Supports the assessment of new opportunities (e.g. financial model building & analysis, research, competitive analysis, assesses strategic alignment of initiatives).
                                                                • +
                                                                • Conducts research and analysis to stay current on emerging & competitive trends in the industry and to support ongoing initiatives.
                                                                -


                                                                What you bring to the role

                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                                                                • +
                                                                • Strong analytical skills and strong business acumen with a proven ability to conduct research on a variety of topics, analyze financial and non-financial information and synthesize information into clear and concise analysis and recommendations.
                                                                • +
                                                                • Self-starter with an ability to deal in ambiguous situations and identify logical and feasible approaches to achieve objectives.
                                                                • +
                                                                • Strong communication and presentation skills (verbal and written).
                                                                • +
                                                                • Demonstrates strong time management and organizational skills with an ability to prioritize and manage multiple initiatives within a fast-paced and unstructured environment.
                                                                • +
                                                                • Strong attention to detail and produces high-quality deliverables.
                                                                • +
                                                                • Contributes to a positive teamwork environment that promotes collaboration, quality, innovation, and customer-focused strategic thinking.
                                                                • +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                  +
                                                                • Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.
                                                                • +
                                                                • This position is a 4-month work term and will commence May 1st – August 25th 2023.
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Start Date

                                                                +
                                                                – Summer
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/194552839-ecommerce-and-mobile-wallets-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,expired,2023-02-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +447413c0-f08c-4d41-8d37-3001af5234d9,194556479,Shopify Inc.,Senior Data Science Manager - Pricing/Promotions,on_site,"Ontario, Canada",2023-02-09T17:42:04.751Z,"

                                                                About the role

                                                                +

                                                                We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

                                                                +

                                                                You will:

                                                                  -
                                                                • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                • -
                                                                • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                • -
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • -
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • -
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                • +
                                                                • Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.
                                                                • +
                                                                • Lead pricing and incentive experimentation work.
                                                                • +
                                                                • Define and guide the short-term and long-term data strategy for the money service line.
                                                                • +
                                                                • Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.
                                                                • +
                                                                • Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc).
                                                                • +
                                                                • Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.
                                                                • +
                                                                • Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment.
                                                                • +
                                                                • Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.
                                                                -

                                                                -

                                                                Keys to your success:

                                                                +

                                                                +

                                                                Qualifications

                                                                +

                                                                +

                                                                You have:

                                                                  -
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • -
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • -
                                                                • Ability to understand and explain business value of data and analytics concepts.
                                                                • -
                                                                • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                • -
                                                                • Experience in visual exploration to perform data discovery and highlight insights
                                                                • -
                                                                • Knowledge of how specific visual components drive usability and understanding
                                                                • -
                                                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                • +
                                                                • Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
                                                                • +
                                                                • Experience in driving customer growth through pricing optimization and experimentation.
                                                                -

                                                                -

                                                                To apply:

                                                                -

                                                                -

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                -

                                                                -

                                                                Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                -

                                                                -

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                -


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                -

                                                                -

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                -

                                                                -

                                                                Providing you with the support you need to be at your best

                                                                -

                                                                -

                                                                -

                                                                -

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                -


                                                                Our Values, The KPMG Way

                                                                -

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                -

                                                                -

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                -

                                                                -

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                -

                                                                -

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                -

                                                                -

                                                                ",,https://careers.kpmg.ca/students/jobs/17032?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:08:00.000Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/146508208-data-scientist-lighthouse-at-kpmg,https://careers.kpmg.ca/students/jobs/17032?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -dfbc9fa2-e1b3-496e-a682-b95598d6f9d4,146508202,KPMG,"Data Engineer, Pay Equity",on_site,"Toronto, Canada",2022-08-27T01:55:13.446Z,"

                                                                Overview

                                                                -

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                -

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                -

                                                                -

                                                                Why KPMG Pay Equity?

                                                                -

                                                                -

                                                                Pay equity metrics, policies and practices are viewed as key elements of an ESG strategy, and one that employers are being tasked to adopt with a sense of urgency.

                                                                -

                                                                -

                                                                The implementation of the Pay Equity Act is an important commitment by the Government of Canada to close the gender wage gap and help ensure workers receive equal pay for work of equal value. Regulatory frameworks for pay equity compliance have already started to be applied across many countries globally. Additional regulations are expected, as the concept of pay reporting becomes more widespread and normalized.

                                                                -

                                                                -

                                                                The Canadian Pay Equity legislation stipulates that all Canadian employers subject to the Act must post a final pay equity plan by September 3, 2024.

                                                                -

                                                                -

                                                                KPMG in Canada’s team of experienced professionals have the capabilities to help organizations understand their legal and compliance obligations as it relates to Canadian Pay Equity legislation, at both the federal and provincial levels. We can help guide you through the multi-step pay equity process with the help of KPMG’s proprietary pay equity tool to support your businesses in developing a pay equity strategy that aligns with corporate objectives to support and enable your workforce.

                                                                -

                                                                -

                                                                Ensuring your organization is paying women and men equally for doing work of equal value is crucial and allows you to correct systemic gender-based discrimination in compensation. Our KPMG advisors can walk you through a step-by-step plan to ensure you are carrying out the requirements laid out in the federal Pay Equity act.

                                                                -

                                                                -

                                                                We are seeking talented and energetic candidates to join our Pay Equity team in 2023.

                                                                -


                                                                What you will do

                                                                  -
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • -
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • -
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • -
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • -
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • -
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • -
                                                                • Support application testing and production implementation as required.
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • -
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • -
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments
                                                                • +
                                                                • Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
                                                                • +
                                                                • Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
                                                                • +
                                                                • Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
                                                                • +
                                                                • A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.
                                                                -


                                                                What you bring to the role

                                                                +

                                                                +

                                                                It would be great if you have experience with:

                                                                  -
                                                                • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                • -
                                                                • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                • -
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • -
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • -
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                • +
                                                                • Cloud platforms: Google Cloud Platform (GCP), AWS
                                                                • +
                                                                • +Large-scale data-platform tools:
                                                                    +
                                                                  • Data Storage and Access: HDFS, Presto
                                                                  • +
                                                                  • Data processing/integration: Kafka, Spark
                                                                  • +
                                                                  • Analytics Datastores: AWS Redshift, GCP BigQuery
                                                                  • +
                                                                  • Visualization: D3, Mode Analytics, Tableau
                                                                  • +
                                                                  • Programming languages: Python, Scala
                                                                  • +
                                                                  • SQL and debugging SQL queries
                                                                  -

                                                                  Keys to your success:

                                                                  -
                                                                    -
                                                                  • Ability to explain data and analytics concepts to non-technical team members.
                                                                  • -
                                                                  • Ability to apply data and analytics concepts to business problems.
                                                                  • -
                                                                  • Ability to understand and explain business value of data and analytics concepts.
                                                                  • -
                                                                  • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                  • -
                                                                  • Experience in visual exploration to perform data discovery and highlight insights
                                                                  • -
                                                                  • Knowledge of how specific visual components drive usability and understanding
                                                                  • -
                                                                  • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                  • + +
                                                                  • +Analytical techniques:
                                                                      +
                                                                    • Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
                                                                    • +
                                                                    • Experimentation: A/B test design and analysis, quasi-experiments
                                                                    • +
                                                                    • Attribution-modeling
                                                                    • +
                                                                    • Forecasting
                                                                    -

                                                                    To apply:

                                                                    -

                                                                    -

                                                                    Please apply directly to KPMG at kpmg.ca/careers

                                                                    -

                                                                    -

                                                                    Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                    -

                                                                    -

                                                                    Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                    -


                                                                    If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                    -

                                                                    -

                                                                    KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                    -

                                                                    -

                                                                    Providing you with the support you need to be at your best

                                                                    -

                                                                    -

                                                                    -

                                                                    -

                                                                    For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                    -


                                                                    Our Values, The KPMG Way

                                                                    -

                                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                    -

                                                                    -

                                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                    -

                                                                    -

                                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                    -

                                                                    -

                                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                    -

                                                                    -

                                                                    ",,https://careers.kpmg.ca/students/jobs/17037?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:01:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/146508202-data-engineer-pay-equity-at-kpmg,https://careers.kpmg.ca/students/jobs/17037?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -0b53c792-c881-4aa9-905f-4ec2f52f03e7,145755944,SeeSpine,Senior Software Engineer (3D),full,"Montreal, QC, Canada",2022-08-22T14:30:26.339Z,"

                                                                    Senior Software Engineer (3D)

                                                                    -

                                                                    SeeSpine is a telehealth application combining 3D imaging and artificial intelligence in scoliosis management. From a video taken on any smartphone, SeeSpine recreates a scaled 3D model of the torso, quantifies the deformity, and predicts progression of the disease. By leveraging radiation-free, remote software, SeeSpine allows for more frequent assessment, decreasing the probability of requiring surgery and the incumbent breast cancer risks. SeeSpine offers employees the opportunity to put their talent towards helping millions of children across the globe.

                                                                    -

                                                                    We’re looking for a software engineer to join our team. As one of the first engineers you have the opportunity to work on the core of our product and take on a great deal of responsibility. You will oversee the development of the software that analyses point clouds to detect scoliosis.

                                                                    -

                                                                    About you

                                                                    +
                                                                  • +
                                                                  +

                                                                  All your information will be kept confidential according to EEO guidelines.

                                                                  +

                                                                  We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

                                                                  +
                                                                ",,https://www.shopify.com/ca/careers/senior-data-science-manager-pricing-promotions-remote-americas_af250450-f70d-440a-83f3-57d22b3ccd75,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/194556479-senior-data-science-manager-pricing-promotions-at-shopify-inc,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +2c6f00f7-18c3-44d8-99c0-7428eec8f8b7,191127454,Scotiabank,"Senior Analyst, Data and Analytics, Business Controls and Risk Management",on_site,Canada : Ontario : Toronto,2023-01-30T17:22:02.231Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 171519

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                Contributes to the overall success of the Data Governance and Analytics team within Risk Management and Business Controls / Global Wealth Management in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                The incumbent is responsible for the design, execution, and maintenance of reporting and analytics initiatives to meet business objectives with a primary focus mutual funds. The incumbent takes effective ownership of requests from stakeholders and ensures results generate value-added actionable insights pertaining to customer behavior, channel performance, sales productivity, and key compliance/regulatory, financial, and operational risk indicators.

                                                                +

                                                                Accountabilities

                                                                +
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Acts as a subject matter expert for client, transactional, and product data for assigned domains; and proactively identifies opportunities to improve reporting and/or drive the use of analytics.
                                                                • +Develops, executes, and maintains reporting dashboards
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver reporting needs.
                                                                  • Designs and maintains performance metrics for key financial, operational, and risk measures
                                                                  • Utilizes business intelligence and visualization tools to distribute reports and dashboards.
                                                                  • Maintains periodic Management and subsidiary Board reporting.
                                                                • +Leads analytics projects to identify insights to achieve business objectives and manage risks.
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver analytics projects.
                                                                  • Use statistical and data mining techniques to identify insights and make recommendations
                                                                  • Assists stakeholders in identifying and developing analytics solutions to meet business objectives.
                                                                  • Prepare and present findings to senior management.
                                                                • Builds effective working relationships within the team and with key business units and corporate functions including Compliance, Finance, IT&S, Enterprise Data Office, etc.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                                                • +
                                                                +

                                                                +

                                                                Experience and Education

                                                                +
                                                                • Data mining skills in Python, Spark, HIVE/Hadoop and other tools (must have skills)
                                                                • Experience with building PowerBI dashboards (must have skills)
                                                                • Excellent analytical and problem-solving skills to synthesis and summarize large data sets gathered from multiple sources.
                                                                • Strong communication skills (verbal and written) to present results to senior management.
                                                                • Knowledge of the mutual fund business, distribution channels, and regulatory framework is an asset.
                                                                • Required – University degree in Business Analytics, Statistics, Mathematics, Computer Science, or a related discipline.
                                                                • High attention to detail to ensure data and reporting are accurate, complete, and meets stakeholder needs.
                                                                • Requires strong collaboration with key stakeholders across SSI (includes Canadian Banking partners), Asset Management, Compliance, Finance, Data Office, and IT&S.
                                                                • Ability to work in a cross-functional team environment and build a network of relationships across the asset management business will be critical to the success of this job.
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-13T17:27:03.430Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/191127454-senior-analyst-data-and-analytics-business-controls-and-risk-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,expired,2023-01-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +897350c3-94aa-47df-a116-3a77eb0a0240,191127597,TD Bank Group,Senior Quantitative Analytics Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.768Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                Credit Risk Model Group (CRMG) provides subject matter expertise and creates a broad range of quantitative and qualitative models to support business and risk decisions.
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                  +
                                                                • Participate in the development, tuning, and model documentation for new or amended Borrower Risk Rating (BRR), Facility Risk Rating (FRR), and Expected Loss (EL) models
                                                                • +
                                                                • Engage with working groups of subject matter experts to ensure that all credit risk models are current and take into account best industry practices and standards
                                                                • +
                                                                • Review and understand risk rating methodologies of public rating agencies (Moody’s, S&P, Fitch, DBRS) and identify potential gaps with internal models
                                                                • +
                                                                • Review and complete robust documentation for all models, ensuring it is up to Model Validation and Model Risk Management standards. Reports include Model Development Reports, Annual Review Templates, and others as needed
                                                                • +
                                                                • To participate in updating the Risk Analyst Peer Group database to facilitate comparative analysis on a quarterly basis
                                                                • +
                                                                • To maintain the integrity of client information in the BRR and FRR databases, and to ensure that corporate compliance requirements related to client information are maintained on an ongoing basis
                                                                • +
                                                                • To work closely with Credit Risk Policy in the launch of new initiatives or reviews, and to work extensively with TDBNA to ensure enterprise wide models are consistent cross-border
                                                                • +
                                                                • To participate in extensive testing with Corporate Segment Technology Solutions (CSTS) to ensure that models meet design specifications and are operating as expected
                                                                • +
                                                                • Create and manipulate extensive data spreadsheets for the purpose of model tuning, stress and sensitivity testing, and other model development purposes
                                                                • +
                                                                • To maintain quarterly reporting to the Executive Steering Committee, including the Model Review Calendar, and One-Time Requirement tracking list
                                                                • +
                                                                • Ensure that all model One-Time Requirements are closed by MVM on time
                                                                • +
                                                                • To participate in data mining and data cleansing as required for model validations
                                                                • +
                                                                • To participate in the model validation process as required, including providing documentation, expertise, and data for MVM
                                                                • +
                                                                • To complete ad hoc analysis in a timely manner as requested
                                                                • +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                The successful candidate is expected to have:

                                                                  -
                                                                • 2 to 5+ years of industry experience, and you are comfortable working and thinking in 3D.
                                                                • -
                                                                • You are proficient in Python and relevant libraries like NumPy (experience working with point clouds is preferable, but not required). You strive to write elegant and maintainable code and are comfortable picking up new technologies.
                                                                • -
                                                                • You have broad knowledge about transport and API protocols like REST.
                                                                • -
                                                                • You have a product mindset to understand business needs and develop scalable engineering solutions.
                                                                • -
                                                                • You always look for opportunities to simplify, automate tasks, and build reusable components across multiple use cases.
                                                                • -
                                                                • You have strong communication skills.
                                                                • -
                                                                • You are curious and eager to work across various engineering specialties (i.e., 3D analysis, machine learning, cloud infrastructure).
                                                                • -
                                                                • You have an eye for detail and like to spark joy amongst your partners with well-documented high-quality products that are modelled and easy to understand.
                                                                • -
                                                                • You are comfortable working in the most agile environments with vague requirements and rapid iterations. You are nimble and take intelligent risks.
                                                                • +
                                                                • A university degree in Finance, Statistics, or a related discipline. A relevant professional designation (MBA, FRM, CFA) will be considered a plus
                                                                • +
                                                                • Strong working knowledge and 3+ years extensive hands-on experience using MS Excel, MS Access, Python, R Language and or SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling
                                                                • +
                                                                • Proficiency and extensive experience in creating and manipulating large data sets for data mining and statistical modelling from various internal and external source systems
                                                                • +
                                                                • 3+ years of progressive work experience in a commercial/corporate banking function
                                                                • +
                                                                • Working knowledge of Commercial Banking and TD Securities credit products, policies, and practices
                                                                • +
                                                                • Working knowledge of concepts and methodologies, such as non-retail credit risk scoring techniques, used in the assessment of credit risk
                                                                • +
                                                                • Working knowledge of Basel parameters (PD, LGD, EAD)
                                                                • +
                                                                • Strong problem solving skills, ability to independently identify and solve problems in an effective and timely manner
                                                                • +
                                                                • Strong communication skills (both written and oral), ability to effectively present technical, business, and project management subjects to multiple stakeholders
                                                                -

                                                                What we can offer you

                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/191127597-senior-quantitative-analytics-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +47e63215-fab6-4fa6-a39e-e8adf18c5ea8,189569817,TD Bank Group,Data Analyst Associate,on_site,"Toronto, ON",2023-01-23T17:24:03.318Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                                                                +

                                                                Job responsibilities for a Data Analyst Associate may vary by area. This may include, but is not limited to the following:

                                                                  -
                                                                • A competitive salary.
                                                                • -
                                                                • Flexible work week.
                                                                • -
                                                                • Work from home as often as you like.
                                                                • -
                                                                • The chance to build a product that will benefit millions of children with scoliosis worldwide.
                                                                • +
                                                                • Work with business and technology partners to define, develop and document detailed business, data and system requirements.

                                                                • +
                                                                • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

                                                                • +
                                                                • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.

                                                                • +
                                                                • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.

                                                                • +
                                                                • Based on data analysis, provide recommendations for data remediation, improvements.

                                                                • +
                                                                • Participate in program/ system research, analysis, detailed design and problem resolution.

                                                                • +
                                                                • Respond to user enquiries on data platform, in a timely manner.

                                                                • +
                                                                • Troubleshoot and determine root cause and resolution for application defects.

                                                                • +
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

                                                                • +
                                                                • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

                                                                • +
                                                                • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.

                                                                • +
                                                                • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

                                                                • +
                                                                • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.

                                                                -

                                                                Our culture

                                                                -

                                                                You love working independently while also collaborating and giving/receiving candid feedback. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                                -

                                                                ",philippe@seespine.ca,,philippe@seespine.ca,https://www.linkedin.com/company/seespine/,,,2022-09-19T17:34:00.000Z,False,0,0,39,https://talenthub.vectorinstitute.ai/jobs/145755944-senior-software-engineer-3d-at-seespine,,expired,2022-08-22T14:30:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Health,Senior Level,Bachelors Degree,New Posting, -ccee9883-fa55-4cf0-a2f4-09f74e56feb1,145964510,TD Bank Group,DATA & ANALYTIC: BUSINESS INTELLIGENCE & REPORTING ASSOCIATE(GRADUATE),on_site,"Toronto, ON, Canada",2022-08-23T20:38:53.791Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                -

                                                                Department Overview

                                                                -

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                -

                                                                Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                                -

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Must be graduated, or graduating between May 2022 and September 2023, in Computer science, Engineering, Computing, or equivalent
                                                                • +
                                                                • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.
                                                                • +
                                                                • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.
                                                                • +
                                                                • Familiarity with Jira and Confluence.
                                                                • +
                                                                • Proficient with Excel, Visio, SQL, some reporting and analytical tools.
                                                                • +
                                                                • Understands Data Modeling concepts.
                                                                • +
                                                                • Able to manage multiple priorities and work independently, as well as part of a team.
                                                                • +
                                                                • Experience with technology project delivery and agile delivery methodology would be an asset.
                                                                • +
                                                                • Some prior experience with creating visualization such as Process and Data Flows.
                                                                • +
                                                                • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.
                                                                • +
                                                                • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.
                                                                • +

                                                                -

                                                                Job Description

                                                                -

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Intelligence & Reporting Associate will perform a variety of activities, which may include:

                                                                +

                                                                Additional Information

                                                                +
                                                                  -
                                                                • Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction
                                                                • -
                                                                • Develop and maintain specialized reporting packages and dashboards utilizing data from various systems including localized data-marts on SQL Server, HOST/Mainframe Systems, Enterprise Data Warehouse(s) on DB2, and external data sources utilizing PBD&A reporting tools (i.e., MS SQL BI Stack: [SSDS, SSIS, SSRS, SSAS], Alteryx, Tableau, MS Power BI, Python, etc.)
                                                                • -
                                                                • Manage the repository of all reporting assets including and not limited to development scripts and objects, documentation, etc.
                                                                • -
                                                                • Adopt, implement, and effectively evolve report automation standards
                                                                • -
                                                                • Validate the quality and integrity of the data included in all reporting
                                                                • -
                                                                • Lead project and partner discussions to understand business requirements and associated value in support of overall business/function strategy
                                                                • +
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis

                                                                • +
                                                                • Applications must include a resume (maximum of 2 pages).

                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                                                                +

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +

                                                                -

                                                                Requirements

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Start Date

                                                                +
                                                                – Fall, – Spring, – Summer, – Winter
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,21,50,https://talenthub.vectorinstitute.ai/jobs/189569817-data-analyst-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +1289f1fa-24b3-4a93-9963-95f08fed3c94,188133207,Google,"Technical Solutions Developer, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-18T17:20:02.892Z,"
                                                                +
                                                                +2023-01-11T20:30:56.349Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Technical Solutions Developer, Google Cloud

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Waterloo, ON, Canada +
                                                                • +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
                                                                  +
                                                                • +
                                                                • 5 years of experience reading or debugging code in one or more of the following: Java, C, C++, Python, Shell, Perl, JavaScript.
                                                                  +
                                                                • +
                                                                • 5 years of experience with databases, data warehousing, information retrieval, or SQL.
                                                                  +
                                                                • +
                                                                • Experience troubleshooting and advocating for customer needs.
                                                                  +
                                                                • +
                                                                +

                                                                Preferred qualifications:

                                                                +
                                                                  +
                                                                • Experience with distributed, columnar, analytic oriented databases, or distributed data processing frameworks.
                                                                  +
                                                                • +
                                                                • Experience with machine learning technologies, including developing, training models, or implementing solutions.
                                                                  +
                                                                • +
                                                                • Experience with open source distributed storage and processing utilities in Apache Hadoop or workflow orchestration products (e.g., Apache Airflow).
                                                                  +
                                                                • +
                                                                • Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science, or other Big Data applications.
                                                                  +
                                                                • +
                                                                • Understanding of basic web technologies, Transmission Control Protocol (TCP), Integration Platform (IP) concepts, Unix, or Linux basic administration and commands.
                                                                  +
                                                                • +
                                                                • Excellent attention to detail, troubleshooting, and communication skills.
                                                                  +
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

                                                                +

                                                                Technical Solutions Developers own customer issues and provide support to other support teams. You will be a part of a Global team that provides support to help customers seamlessly switch to Google Cloud. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed coding or scripting.

                                                                +

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Manage the customers problem through effective diagnosis, resolution, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
                                                                • +
                                                                • Develop an understanding of Google product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
                                                                • +
                                                                • Act as a consultant and subject matter expert for internal stakeholders in developing, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
                                                                • +
                                                                • Work as part of a team of Developers or Consultants that globally ensure 24-hour customer support.
                                                                • +
                                                                • Understand customer issues and advocate for their needs with cross-functional teams (e.g., product, developing) to find ways to improve the product and lead high-quality production.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/120026313214829254-technical-solutions-developer-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-18T19:19:03.920Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/188133207-technical-solutions-developer-google-cloud-at-google,,expired,2023-01-18T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +8af81014-3dda-41b2-9b07-e9b3d950d1c7,197097452,BMO Financial Group,"Analyst, Customer Insights & Reporting, Summer 2023 (Co-op/Internship) 4 - Months",on_site,"Ontario, Canada",2023-02-16T17:12:02.976Z,"
                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                +
                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                +

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                +

                                                                +

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                +
                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • Must be graduated between May 2021 and May 2023 with a Graduate degree in Business, Management, and/or Data Analytics or related.
                                                                • -
                                                                • At least 2 years of professional experience, which can include work terms during completion of studies.
                                                                • -
                                                                • Strong statistical and analytical skills and interest are an asset.
                                                                • -
                                                                • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs. +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                • -
                                                                • Experience with telling a story through data visualization
                                                                • -
                                                                • Strong technical knowledge and experience with one or more of: SQL, SAS, MS SQL BI Stack: [SSDS, SSIS, SSRS, SSAS], Tableau, MS Power BI, Python, PySpark, Alteryx, Bitbucket
                                                                • -
                                                                • Technical knowledge or experience with Hadoop, Spark and Cloud is an asset. Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned task..
                                                                • -
                                                                • Must have the capability to dive into a business issue, understand the route cause and to help partners to understand how to leverage data to tell a story that will solve for the issue
                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Additional Information

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Insights---Reporting--Summer-2023--Co-op-Internship--4---Months_R220031435-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/197097452-analyst-customer-insights-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-02-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +32daba03-986d-450c-8e0c-65b13584bb6f,196077755,Scotiabank,Manager - Fraud Analytics,on_site,Canada : Ontario : North York,2023-02-13T17:22:02.569Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 173436

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                +

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                +

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                +

                                                                +

                                                                Accountabilities

                                                                +

                                                                +
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Education / Experience

                                                                +

                                                                +
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-20T17:27:02.981Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/196077755-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,expired,2023-02-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a8599da7-e9a6-4434-89f2-73e39078d2d3,194550476,BMO Financial Group,Junior Analyst - Summer 2023 (Co-op/Intern) - 4 Months,on_site,"Ontario, Canada",2023-02-09T17:12:02.960Z,"
                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +
                                                                +
                                                                +
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                +
                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                +

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                +

                                                                +

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                +
                                                                +
                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • -Application Deadline: September 25th, 2022
                                                                • -
                                                                • -Anticipated Start Date: January 2023 or July 2023 (pending academic completion)
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • As a co-op/intern student at BMO, our focus would be on your potential for learning, and your desire to contribute to the team in any way you can. Your attitude and commitment are more important than past knowledge and experience.

                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Hours

                                                                -

                                                                37.5

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                Start Date

                                                                -

                                                                – Winter

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                ",,https://jobs.td.com/en-CA/jobs/16530936/data-analytic-business-intelligence-reporting-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:39:00.746Z,False,0,11,69,https://talenthub.vectorinstitute.ai/jobs/145964510-data-analytic-business-intelligence-reporting-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -53323373-6d21-4f0d-a79c-e991adcc2e83,145964526,TD Bank Group,DATA & ANALYTICS: DATA ENGINEER ASSOCIATE (GRADUATE),on_site,"Toronto, ON, Canada",2022-08-23T20:40:22.990Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                Department Overview

                                                                -

                                                                Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                                -

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                -

                                                                Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. To accomplish this, we’re evolving our Platforms, introducing key enterprise practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                                -

                                                                NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.
                                                                Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Job Description

                                                                -

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in Data & Analytics. The Data Engineer will perform a variety of activities, which may include:

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Junior-Analyst---Summer-2023--Co-op-Intern----4-Months_R230002649?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/194550476-junior-analyst-summer-2023-co-op-intern-4-months-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +50762f5c-9196-4b67-ad07-7625aa5ee7d8,214825251,Scotiabank,Senior Data Engineer - 8 Month Contract - CID&A,on_site,Canada : Ontario : Toronto,2023-04-13T17:22:02.754Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 174905

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose:

                                                                +

                                                                +

                                                                The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                                                +

                                                                We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                                                +


                                                                Accountabilities:

                                                                +


                                                                • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                                                • Partner with advanced analytics teams to build powerful data assets and processes
                                                                • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                                • Build automated data management and data quality capabilities into projects
                                                                • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                                                • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                                                • Experiment & learn!

                                                                +


                                                                Qualifications:

                                                                +


                                                                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                                                • Experience in finance is an asset
                                                                • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                                                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                                                • Experience with visualization tools an asset: Power BI/Tableau
                                                                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                                                • High aptitude for diving in and picking up new technologies as required
                                                                • Eligible to work in Canada

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-17T17:27:04.728Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/214825251-senior-data-engineer-8-month-contract-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d80fa043-ac92-4389-acba-1aabe61b5321,212880719,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-04-06T17:24:03.806Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                +

                                                                As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

                                                                  -
                                                                • Bringing conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                                • -
                                                                • Leveraging your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                                • -
                                                                • Engaging in business and data requirements to develop complete business solutions
                                                                • -
                                                                • Designing and implementing complex business data information management frameworks
                                                                • -
                                                                • Engaging in testing of the technical information systems to ensure data integrity and system functionality
                                                                • -
                                                                • Collaborating with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g., with enterprise framework, methodologies, financial controls, and other requirements)
                                                                • -
                                                                • Participating fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                                • +
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                                • +
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • +
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • +
                                                                • Develop powerful business insights from segmentation, risk, and performance data
                                                                • +
                                                                • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                                                                • +
                                                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                                • +
                                                                • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • +
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • +
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                +

                                                                -

                                                                Requirements

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Must be graduated between May 2021 and May 2023
                                                                • -
                                                                • Graduate degree in Computer Science or related
                                                                • -
                                                                • At least 2 years of professional experience, which can include work terms during your completion of studies.
                                                                • -
                                                                • Experience with– SQL, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                                • -
                                                                • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                                • -
                                                                • Experience in data programming languages, patterns and design principles
                                                                • -
                                                                • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                                • -
                                                                • Expertise in data storage and movement, including relational and big data
                                                                • -
                                                                • Strong analytical and problem-solving skills
                                                                • -
                                                                • In-depth knowledge of competitor and market trends
                                                                • -
                                                                • Ability to analyze, organize and prioritize work while meeting multiple deadline
                                                                • -
                                                                • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                                • -
                                                                • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                                • -
                                                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                                                • +
                                                                • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                                                • +
                                                                • Up to 7 years’ experience of working in analytical environments
                                                                • +
                                                                • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                                                                • +
                                                                • Expertise in analytical tools such as SAS
                                                                • +
                                                                • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                                                • +
                                                                • Experience with Git
                                                                • +
                                                                • Experience with relational databases and usage of SQL
                                                                • +
                                                                • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                                                • +
                                                                • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                                                • +
                                                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                                                • +
                                                                • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                                                +

                                                                -

                                                                Additional Information

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-17T22:12:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/212880719-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +9214a514-068a-4aae-8c8c-854a47a024df,207767102,OMERS,Business Intelligence Specialist 6-month Contract,on_site,"Ontario, Canada",2023-03-23T17:42:03.813Z,"
                                                                +

                                                                Why join us?

                                                                +

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                As a key member of the Enterprise Data and Advanced Analytics team, the role of BI Specialist is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end to end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.
                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                  -
                                                                • -Application Deadline: September 25, 2022
                                                                • -
                                                                • -Anticipated Start Date: January 2023 or July 2023 (pending academic completion)
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change
                                                                • +
                                                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                                                • +
                                                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                                                • +
                                                                • Building professional growth by actively acquiring predictive modelling and programming skills
                                                                • +
                                                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                                                • +
                                                                • Facilitating workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                                                • +
                                                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates
                                                                • +
                                                                • Facilitating collaboration and promoting best practices of building BI and analytical solutions
                                                                • +
                                                                • Broadening the reach of Power BI through providing Dashboard in a Day and other Power Platform workshops at Enterprise level
                                                                • +
                                                                • Helping instill a product mindset in the team and presenting and communicating analytics centric solutions to stakeholders and the immediate team
                                                                • +
                                                                • Operating in an Agile development environment
                                                                • +
                                                                • Managing change and communicating impacts to stakeholders and fellow team members
                                                                • +
                                                                • Provisioning and resource management of Premium Capacity
                                                                • +
                                                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                                                • +
                                                                • Usage Monitoring and Auditing

                                                                -

                                                                Hours

                                                                -

                                                                37.5

                                                                +

                                                                To succeed in this role, you have:

                                                                -

                                                                Start Date

                                                                -

                                                                – Spring, – Winter

                                                                +
                                                                  +
                                                                • Bachelor’s degree in information systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with two (2) + years of experience
                                                                • +
                                                                • Excellent data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                                                • +
                                                                • Experience and proficiency in SQL scripting and Azure is a must
                                                                • +
                                                                • Experience and proficiency with an additional programming language such as Python is an asset
                                                                • +
                                                                • Knowledge or experience of machine learning and data science is a plus
                                                                • +
                                                                • Depth of Power BI experience wrangling complex data using M functions and developing sophisticated semantic logic using DAX expressions will be thoroughly tested and is required
                                                                • +
                                                                • Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI
                                                                • +
                                                                • Ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and other community publications is required
                                                                • +
                                                                • Proven track record of building deep technical relationships. Experience in aligning expectations across various stakeholders
                                                                • +
                                                                • Able to trace data lineage and resolve technical issues with minimal supervision
                                                                • +
                                                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                ",,https://jobs.td.com/en-CA/jobs/16530930/data-analytics-data-engineer-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:40:26.635Z,False,0,16,100,https://talenthub.vectorinstitute.ai/jobs/145964526-data-analytics-data-engineer-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -68b0f148-93a7-4207-8978-1e795c4079eb,150871022,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-09-15T01:52:15.374Z,"
                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Business-Intelligence-Specialist-6-month-Contract_JR-4735-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/207767102-business-intelligence-specialist-6-month-contract-at-omers,,expired,2023-03-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +854cd811-4d6e-40bf-8eb6-a319b492c5a0,210223739,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2023-03-30T17:42:05.608Z,"
                                                                +

                                                                +

                                                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                                                Main Responsibilities

                                                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment

                                                                · Drive continuous improvement by identifying opportunities and leading projects

                                                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                                                Advance Analytics

                                                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                                                · Apply statistical and machine learning knowledge to specific business problems and data

                                                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                                                Requirements

                                                                Experience

                                                                Research and Data Modelling

                                                                · Between 2 to 5 years of experience in research and advanced data modeling

                                                                o Between 2 to 5 years of experience in a large-scale operation and logistics environment

                                                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                                                o Experience with warehouse management, transportation, and planning systems*

                                                                o Experience with technology and operation automation projects*

                                                                o Experience in applied research in areas relevant to AI *

                                                                o Experience with Machine Learning algorithms*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management*

                                                                · Bachelor’s Degree in Operation Research*

                                                                · Master’s Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Applies critical thinking

                                                                · Sets direction and inspires others

                                                                · Collaborates with others and shares information

                                                                · Solves problems to create value

                                                                · Demonstrates agility and drives change

                                                                · Knows the business and stays current on industry needs

                                                                · Fluently bilingual both written and verbal (English, French)*

                                                                *Any skills/attributes for these above would be considered as an asset

                                                                Technical Skills/Knowledge

                                                                · Project and time management*

                                                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10622?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,9,41,https://talenthub.vectorinstitute.ai/jobs/210223739-analyst-advance-analytics-at-cn,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +8d31cbe0-6ad8-4a48-aa38-60449cc5557b,207765957,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:27:01.978Z,"
                                                                +

                                                                What’s the opportunity?

                                                                +

                                                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                                                +

                                                                Your responsibilities include:

                                                                +
                                                                  +
                                                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                                                • +
                                                                • Designing and building data pipelines for Borealis AI projects;
                                                                • +
                                                                • Building efficient data systems and abstractions for Borealis AI projects;
                                                                • +
                                                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                                                • +
                                                                +

                                                                You’re our ideal candidate if you:

                                                                +
                                                                  +
                                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                                                • +
                                                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                                                • +
                                                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                                                • +
                                                                • Strong enterprise experience with data systems and infrastructure at scale;
                                                                • +
                                                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                                                • +
                                                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                                                • +
                                                                • Strong communication skills and a collaborative attitude;
                                                                • +
                                                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                                                • +
                                                                +

                                                                What’s in it for you?

                                                                +
                                                                  +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                +
                                                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-22T19:50:03.125Z,False,0,9,56,https://talenthub.vectorinstitute.ai/jobs/207765957-data-engineer-at-borealis-ai,,expired,2023-03-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +8ba83865-0de7-4de5-9605-a537e55b93f3,207764702,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:03.232Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                -

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                Job Description

                                                                -

                                                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                                                +

                                                                +

                                                                About this Role

                                                                +

                                                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                +

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                +

                                                                +

                                                                As the Manager, Analytics & Insights you will:

                                                                  -
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                • -
                                                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                • -
                                                                • Design, develop and deploy system enhancements
                                                                • -
                                                                • Perform Unit and System Integration tests
                                                                • -
                                                                • Document system deployment plans for system implementation and code deployment
                                                                • -
                                                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                • -
                                                                • Provide recommendations with full usability analysis
                                                                • -
                                                                • Perform root-cause analysis and resolution of application defects
                                                                • -
                                                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                • +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • +
                                                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                                • +
                                                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • +
                                                                • Set operational team direction, working in partnership to execute on common goals
                                                                • +
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • +
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • +
                                                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • +
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • +
                                                                • Support execution with excellence on key initiatives/programs
                                                                • +
                                                                • Design effective test and learn for various programs or scenarios
                                                                • +
                                                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                                • +
                                                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                                • +
                                                                • Present insights back to executive leaders / business partners to drive strategic improvement

                                                                Requirements

                                                                -
                                                                  -
                                                                • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                                                • -
                                                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                • -
                                                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                • -
                                                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                • -
                                                                • Familiarity with source code management such as GIT
                                                                • -
                                                                • Familiarity with Jira and Confluence
                                                                • -
                                                                • A thirst for constantly exploring emerging technology
                                                                • -
                                                                • Skills that would be an asset, but not required
                                                                    -
                                                                  • Familiarity with RDBMS, Big data
                                                                  • -
                                                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                  • -
                                                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                  • -
                                                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                                                  • -
                                                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                  • -
                                                                  -
                                                                • -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                +
                                                                +What can you bring to TD?
                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                                                                • +
                                                                • Extensive experience using SQL, Python and Tableau
                                                                • +
                                                                • Experience with Adobe Analytics
                                                                • +
                                                                • Great communication skills to manage relation with stakeholders.
                                                                -

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                -

                                                                #AssociateP&T

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                +

                                                                +

                                                                Flexible Work Options

                                                                +
                                                                N/A
                                                                +

                                                                Hours

                                                                37.5

                                                                -

                                                                Start Date

                                                                -
                                                                – Fall, – Spring, – Summer, – Winter
                                                                -

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-15T12:17:38.295Z,False,0,12,88,https://talenthub.vectorinstitute.ai/jobs/150871022-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-09-15T01:52:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -1714ffca-1e67-4c80-9359-e7a074698faf,152493702,Magna International,Senior Power BI & DAX Developer,on_site,"Ontario, Canada",2022-09-21T20:53:41.600Z,"

                                                                Group Description

                                                                -

                                                                At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                                                -

                                                                We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-22T19:47:14.933Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/207764702-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e6c3c2d9-db72-4cf8-ba18-e2046af746d4,226984830,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-05-18T16:04:02.078Z,"
                                                                +
                                                                +

                                                                Role Summary

                                                                +
                                                                +

                                                                Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

                                                                +

                                                                **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Responsibilities

                                                                +
                                                                +

                                                                We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

                                                                +
                                                                • Managing code deployments, fixes, updates and related processes
                                                                • Support multiple on-going projects in a fast-paced environment
                                                                • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
                                                                • Creating IoT applications that run on-premise and in the cloud
                                                                • Brainstorming for new ideas and ways to improve development and delivery
                                                                • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
                                                                • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
                                                                • Working with source control tools (Confluence, GitHub, etc.)
                                                                • Actively troubleshooting any issues that arise during testing and production
                                                                • Performing additional duties as assigned
                                                                • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Qualifications/Requirements

                                                                +
                                                                +


                                                                KEY QUALIFICATIONS/REQUIREMENTS:

                                                                +
                                                                • Degree/Diploma in Computer Science or related field of study
                                                                • Minimum six plus (6+) years of related experience required
                                                                • Strong knowledge of Industry 4.0 integration
                                                                • Proven leader
                                                                • +
                                                                +

                                                                +

                                                                POSITION REQUIREMENTS:

                                                                +
                                                                • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
                                                                • Experience with databases and different types of data storage
                                                                • Strong experience with relational databases like SQL Server, MySQL and Oracle
                                                                • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
                                                                • Experience with the MQTT protocol
                                                                • Time and project management skills, with the capability to prioritize and multitask as needed
                                                                • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
                                                                • Knowledge of different project management methodologies such as Waterfall and Agile
                                                                • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
                                                                • Strong analytical and problem-solving ability to design an effective solution
                                                                • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
                                                                • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                What Heart Lake Offers

                                                                +
                                                                • Weekly pay via direct deposit
                                                                • Overtime after 40 hours worked
                                                                • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
                                                                • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
                                                                • Profit sharing
                                                                • Matched GRRSP
                                                                • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
                                                                • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
                                                                • Company paid uniforms
                                                                • Company BBQ, holiday parties and company events
                                                                • Corporate Social Responsibility initiatives
                                                                • Annual Employee Opinion Survey
                                                                • Magna Service Award Program
                                                                • Magna Scholarship Program
                                                                • Group Rogers and Bell cellphone data plan available
                                                                • Subsidized cafeteria
                                                                • Educational Assistance Program
                                                                • Employee Discounts: new vehicles, amusement parks, etc.
                                                                • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Additional Information

                                                                +

                                                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                +
                                                                +
                                                                +

                                                                Awareness. Unity. Empowerment.

                                                                +

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                +
                                                                +
                                                                ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-18T02:04:48.720Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/226984830-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,expired,2023-05-18T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +a376ed7f-4367-4b4a-943c-900b7b5acd9e,296509060,TD Bank Group,Manager BI & Reporting II,on_site,"Toronto, ON",2023-12-21T16:28:02.007Z,"
                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Role Summary

                                                                -

                                                                The Senior Power BI & DAX Developer will be responsible for interpreting the business needs of stakeholders and for documenting and developing the reporting analytics that meet those needs. This includes the design, development, maintenance, integration and reporting of business systems through cubes, ad-hoc reports, and dashboards.
                                                                The selected candidate will work closely and effectively with internal stakeholders and business analysts to provide support and expertise in data management, reporting and underlying infrastructure. This senior position will also need to cover oversight and guidance on deliverables provided by external partners as well a supervising & leading role in the team.

                                                                -

                                                                Key Responsibilities

                                                                +

                                                                Workplace Model

                                                                +
                                                                Hybrid
                                                                +

                                                                +

                                                                Pay Details

                                                                +

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +
                                                                +

                                                                +

                                                                Job Details

                                                                +
                                                                +

                                                                Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                +

                                                                Sound good so far? Fantastic! We are looking for an experienced people manager and authority to lead a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help build complex reporting and business intelligence reports and solutions to help better inform key business decisions and instill industry gold standard methodologies.

                                                                +

                                                                As Manager II, Business Intelligence & Reporting, you will:

                                                                  -
                                                                • Work with the business to define report requirements and translate those requirements into reporting deliverables
                                                                • -
                                                                • Design complex business intelligence and analytic solutions based on functional requirements.
                                                                • -
                                                                • Translate data results into written reports, tables, graphs and charts
                                                                • -
                                                                • Ensure the availability and performance of the solutions and reports
                                                                • -
                                                                • Participate in and lead functional and technical specification reviews
                                                                • -
                                                                • Research technical solutions to business problems
                                                                • -
                                                                • Develop/train on company standards and procedures to support self-service BI
                                                                • -
                                                                • Provide training and technical assistance to other team members and users for generation of various types of reporting
                                                                • +
                                                                • Lead and execute data/business analysis using various internal data sources to support the understanding of customers, business drivers and financial results
                                                                • +
                                                                • Support all relevant projects and initiatives to ensure project data and reporting requirements are met
                                                                • +
                                                                • Work in a consultative role to provide valuable insights in the form of analysis, interpretation and, advice
                                                                • +
                                                                • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                                • +
                                                                • Create and maintain detailed documentation on all projects/requests
                                                                • +
                                                                • Ensure all projects are delivered according to department standards and guidelines
                                                                • +
                                                                • Manage and resource pipelines to ensure projects and initiatives are completed on time/within budget within priority order (as set by regulatory deadlines, business strategy, etc.)
                                                                • +
                                                                • Manage relationships with key partners to ensure advance notification of upcoming projects, data requests and more
                                                                • +
                                                                • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
                                                                • +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
                                                                -

                                                                Key Qualifications/Requirements

                                                                +
                                                                +

                                                                +

                                                                Job Requirements

                                                                +
                                                                +

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Completion of University Degree
                                                                • -
                                                                • 3 to 5 Years of Work Related Experience
                                                                • -
                                                                • Minimum 3 years experience in the development of Business Intelligence solutions based on Microsoft Tabular models including Power BI visualization and complex DAX expressions
                                                                • -
                                                                • Experience in designing and implementing data models both on Tabular and SQL based storage solutions
                                                                • -
                                                                • Solid understanding of ETL processes and Data Warehouse concepts
                                                                • -
                                                                • Strong SQL coding skills
                                                                • -
                                                                • Advanced skills in Microsoft BI stack (including Analysis Services, Paginated Reports and Power Pivot, Azure SQL)
                                                                • -
                                                                • Experience with Synapse and Data Flow would be nice to have
                                                                • -
                                                                • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                                                • -
                                                                • Ability to be a strong team member, and communicate effectively
                                                                • -
                                                                • Ability to prioritize and multi-task, and reasonably estimate work effort for tasks
                                                                • -
                                                                • Excellent English in spoken and written
                                                                • -
                                                                -

                                                                Additional Information

                                                                -

                                                                Regular travel up to 25% of the time

                                                                -

                                                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

                                                                -

                                                                We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                                                -

                                                                Awareness. Unity. Empowerment.

                                                                -

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                ",,https://jobs.magna.com/job/AURORA-Senior-Power-BI-&-DAX-Developer-ONTA-L4G-3M7/562373917/,aitalent@vectorinsitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-10-21T20:53:46.907Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/152493702-senior-power-bi-dax-developer-at-magna-international,,expired,2022-09-21T20:53:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -faa27459-e858-4705-a315-dda4188b7a71,153858718,EY,Senior (Data Management),on_site,Toronto,2022-09-29T04:44:01.786Z,"

                                                                Senior (Data Management)

                                                                -
                                                                Location: Toronto
                                                                -
                                                                Other locations: Primary Location Only
                                                                -
                                                                Date: Oct 3, 2022
                                                                -

                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                -

                                                                -

                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                -

                                                                -

                                                                The opportunity

                                                                -


                                                                Joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else.

                                                                -

                                                                -

                                                                We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc.- to lead and implement leading-edge data management and strategy projects.

                                                                Your Key Responsibilities

                                                                -
                                                                • Help our clients establish Data Management and Governance programs and drive data ownership into the client businesses
                                                                • Perform Data Management and Governance reviews, Data Maturity assessments
                                                                • Assist with implementation of the Data Management and Governance programs within the client organization
                                                                • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                                                • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                                                • -
                                                                -

                                                                -

                                                                To qualify for the role, you must have

                                                                -
                                                                • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                                • Experience working within Financial Services Industry in a data management related role
                                                                • Experience within data management and governance. Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                                • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                                                • Advanced problem-solving skills, superior communication (verbal and written)
                                                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines.
                                                                • Experience with client-facing activities requirements gathering, presentation creation, and ability to prepare client ready deliverables
                                                                • Experience of Agile and traditional SDLC delivery methodologies Strong analytical and problem-solving skills
                                                                • -
                                                                -

                                                                -

                                                                Ideally, you’ll also have

                                                                -
                                                                • Prior consulting experience preferred
                                                                • Project management and process development expertise in client serving rolesStrong organizational and time-management skills
                                                                • -
                                                                -

                                                                -

                                                                Skills and attributes for success

                                                                -
                                                                • Be self-motivated and passionate about data management and governance
                                                                • Ability to meet deadlines and manage project delivery
                                                                • Superior communication and interpersonal skills
                                                                • -
                                                                -

                                                                -

                                                                What we offer

                                                                -

                                                                -

                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                -

                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                -
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                • +
                                                                • People Management experience will be considered as an asset.
                                                                -

                                                                -

                                                                Diversity and Inclusion at EY

                                                                -

                                                                -

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                -

                                                                EY Way of Work and your health and safety

                                                                -

                                                                -

                                                                EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                                                -

                                                                -

                                                                EY | Building a better working world

                                                                -

                                                                -

                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                                                -

                                                                -

                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                                                -

                                                                -

                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                ",,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,feed-importer@jobboard.io,,,,2022-10-24T16:58:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/153858718-senior-data-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,expired,2022-09-29T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -3297112d-6cb2-4fc8-8c57-b5fe2907db82,167437788,CIBC,Sr. Data Engineer,on_site,"Toronto, ON, Canada",2022-11-15T17:06:03.295Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                Company Overview

                                                                +
                                                                +Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                +

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                +

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                +

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                +

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                +

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                Inclusiveness

                                                                +
                                                                +Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                +

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                +

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                +

                                                                We look forward to hearing from you!

                                                                +

                                                                -

                                                                Job Description

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-04T16:33:16.385Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/296509060-manager-bi-reporting-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,expired,2023-12-21T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bb7fbd7a-9741-4adf-b788-4a9d10f9d1df,298777358,OMERS,"Data Analyst, Pension Insights",on_site,"Ontario, Canada",2024-01-04T06:45:01.826Z,"
                                                                +

                                                                Why join us?

                                                                +

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                +

                                                                Why join us?

                                                                -

                                                                What You’ll Be Doing

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                +

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                +

                                                                We are looking for a highly motivated Pensions Analyst to join our Pensions Data Team in Toronto. You will be part of a growing data-driven product development team striving to transform OMERS employees, members, employers and stakeholders experiences through the deployment of high-quality data products and visualizations. We are striving to provide information and actionable insights to improve experiences for members, stakeholders, employers and OMERS teams.

                                                                -

                                                                You’ll be joining CIBC’s Private Wealth Management (PWM) Technology group within Wealth Management and will be an integral part of CIBC’s technology transformation. As the Senior Consultant, Application Development, you will be reporting to a Director. Working closely to act as the technical subject matter expert with oversight and accountability for Business Analysis, Development and QA for the Data Analytics & Reporting applications and services supporting the Private Wealth Management business group. With a strong focus on technology strategy, delivery approaches and business acumen, you’ll be providing subject matter expertise to Azure Cloud Engineering initiatives as they relate to the design, implementation and support of major public cloud technologies and automation tooling in a multi-platform environment. Deliver transformational changes at an Organizational level through processes and workflows. delivering technology changes and supporting requirements that align with both the Private Wealth Management line of business and the Wealth Management Technology (WMT) mandates.

                                                                +

                                                                The Pensions Data Team is an exciting new team focused on leveraging the newest technologies and approaches to deliver solutions and systems for the modern-day end user. Our primary focus and commitment is to provide real value through high-quality information and actionable data-driven insights. We encourage innovation and empower open thinking for all our team members. We’re excited for the opportunity to have highly driven and impactful talent join our team!

                                                                -

                                                                How You’ll Succeed

                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                +
                                                                  +
                                                                • Collaborate within an agile framework, and engage with product owners, business partners and technology teams to translate business needs into data designs, e.g. data analytics, data modeling, data profiling and data mapping

                                                                • +
                                                                • Analyzing large data sets

                                                                • +
                                                                • +

                                                                  Managing the extract, transform, load (ETL) process for the purposes of producing data-driven insights about our members, including:

                                                                    -
                                                                  • Leadership & Communication – Collaborate with senior leaders across the company and make informed recommendations to enhance cloud related solutions. Weigh business needs against technology offerings, security concerns and provide recommendations to improve the user experience, which are practical and achievable.

                                                                  • -
                                                                  • Governance – Proactively contribute to governance initiatives in the development of company policies, audit requirements etc. Provide technical or business guidance to clients within and outside your own department.

                                                                  • -
                                                                  • Engineering / Development – Lead evaluation, selection and implementation of new and emerging products and techniques; support the development of business/technology proposals by evaluating implementation options. Provide automation expertise within core automation DevOPS tool chain and orchestration expertise in Public cloud, preferably with experience in Azure DevOps, Autosys and all aspects of Azure Network configuration through code, and familiarity with tools such as Git, JIRA, Confluence. Your understanding of Microsoft\'s Azure, Azure ARM Templating, Azure DevOps Pipeline implementation and other analytics and reporting components of Azure will be key to your success.

                                                                  • -
                                                                  • People Leadership – Lead and coach a team of Business Systems Analysts, Application Developers, and Application Support Specialists building on existing individual capabilities and bringing new talent into the team to meet business and technology objectives. Develop your team, maximizing their contributions, encourage out of the box thinking and professional growth. Create a positive work environment through being an effective role model and by championing CIBC’s mission, vision and values, ensuring compliance with policies, standards, guidelines and controls, applying policies fairly and consistently so employees understand what to expect. Manage performance by providing fair and accurate formal and informal feedback, identifying and removing obstacles to performance and by explaining how performance expectations align with business priorities.

                                                                  • -
                                                                  • Relationship Management – Work closely with clients and business partners to develop, test, plan and implement application enhancements. Become familiar for all CIBC enterprise development practices, standards and governance controls for other CIBC groups and technology vendors. Advise on emerging technical trends in the industry and at CIBC, and ensure application services best practices reflect appropriate technological developments for a competitive business position. Collaborate and support the other PWM Technology teams in the delivery of technology modernization that address the strategic and operational business partner agenda and the CIBC technology strategy. Analyze technical risk to support business recommendations and make adjustments to internal operations as necessary to improve performance of the Application Delivery and support teams.

                                                                  • +
                                                                  • working with other technical teams to define the data pipeline;

                                                                  • +
                                                                  • performing data analyses and building insightful visualizations;

                                                                  • +
                                                                  • documenting system requirements

                                                                  • +
                                                                  +

                                                                -

                                                                Who You Are

                                                                +
                                                                • +

                                                                  Collaborating with peers and data analytics leaders to:

                                                                    -
                                                                  • You can demonstrate experience with: 5+ years\' experience as a Data engineer, preferably in Azure Databricks.

                                                                  • -
                                                                  • You are a skilled Data Engineer to lead the development of our new data analytics platform.

                                                                  • -
                                                                  • Able to write clean/scalable/secure code and need a good understanding of Azure and Databricks. We work heavily in Azure and need this person to have a good grasp of modern Azure Tools like Databricks and DataFactory to build orchestration pipelines.You have led the creation of a data strategy and associated roadmap and led execution across multiple technologies and projects.

                                                                  • -
                                                                  • Experience in most of the following: Writing clean/scalable code and working with Databricks, Using Azure Data Factory to build orchestration pipelines, Working with Azure DevOps and CI/CD pipelines, Pyspark, Python, SQL, Power BI, Data Lake.

                                                                  • -
                                                                  • You will utilize your breadth of knowledge to identify opportunities to optimize, modernize, retire or consolidate a large number of applications spanning numerous technologies.

                                                                  • -
                                                                  • You are a seasoned people leader with the ability to coach and help develop other team members.

                                                                  • -
                                                                  • You have a solid understanding of: Managing vendor applications, roadmaps, testing, and implementation. Designing and implementing applications for cloud. Strong knowledge of Agile methodology and experience working in a Scrum team.

                                                                  • -
                                                                  • It’s an Asset if: You have good understanding of the Wealth Management business and have worked in a capacity supporting the business.

                                                                  • -
                                                                  • You have a degree/diploma in: Computer Science, Engineering, and/or a related field.

                                                                  • -
                                                                  • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                                                  • -
                                                                  • You embrace and champion change: You’ll continuously evolve your thinking and the way you work in order to deliver your best. You empower and enable your team to make continuous improvement, go above and beyond, and deliver results.

                                                                  • -
                                                                  • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision.

                                                                  • -
                                                                  • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                  • +
                                                                  • Identify, draft and communicate findings to senior leadership;

                                                                  • +
                                                                  • Research best practices in CX analytics and reporting;

                                                                  • +
                                                                  • Advise senior leadership on approaches to enhancing our existing ETL process

                                                                  +

                                                                -

                                                                What you need to know

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Working collaboratively across a variety of technical, data science, and business teams to deliver the Pension Experience Insights program

                                                                • +
                                                                • Assisting other members of the Pension Data Team with data validation and checking, where needed

                                                                -

                                                                -

                                                                -

                                                                +

                                                                To succeed in this role, you have:

                                                                +
                                                                  +
                                                                • Experience running end-to-end data analytics projects, including: requirements gathering, data collection, data cleaning and analysis

                                                                • +
                                                                • Knowledge of Pensions plan policies and administrative procedures

                                                                • +
                                                                • 1+ years of experience working with SQL

                                                                • +
                                                                • It is an asset if you have experience working with Python and/or R

                                                                • +
                                                                • It is an asset if you have experience working with Power BI, or similar data visualization software

                                                                • +
                                                                • A track record of “thinking outside the box” and looking at a challenge through multiple lenses

                                                                • +
                                                                • Experience of applying innovative solutions and working with business stakeholders to challenge the status quo, deliver solutions that tackle business problems and meet business requirements

                                                                • +
                                                                • Acute attention to detail and an interest in maintaining the highest data quality standards

                                                                • +
                                                                • Strong ability to manage multiple priorities, work under pressure to meet deadlines

                                                                • +
                                                                • Strong willingness and independent attitude in learning new things

                                                                • +
                                                                • Robust understanding of agile methodologies

                                                                • +
                                                                • Excellent communication and interpersonal skills to work with different personas

                                                                • +
                                                                • Knowledge of systems development life cycle, IT processes and ability to grasp complex technical concepts and translate it into business language

                                                                • +
                                                                • Ability to adapt to a dynamic and evolving software development team environment

                                                                • +
                                                                • Strong working knowledge of Microsoft Office applications (Excel, PowerPoint, Word) and Windows

                                                                • +
                                                                • An interest in demography, behavioral psychology or in pension administration

                                                                • +

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 12th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Analytical Reports, Analytics Strategy, Cloud Applications, Cloud DevOps, Cloud Platform, Data Engineering, Data Strategies, Functional Designs, Microsoft Cloud, Technical Subject Matter, Technology Roadmap, Technology Transformation
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2230781?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-11-21T15:36:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/167437788-sr-data-engineer-at-cibc,,expired,2022-11-15T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -2df4e48f-10ed-4e45-b26e-5dd2a7c7c009,162649012,Borealis AI,Machine Learning Researcher - Causality,on_site,"Waterloo, ON, Canada",2022-11-02T17:27:32.121Z,"
                                                                -
                                                                -
                                                                -

                                                                What\'s the opportunity?

                                                                -

                                                                As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                -

                                                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                -

                                                                Your responsibilities include:

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Pension-Insights_JR-5716?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/298777358-data-analyst-pension-insights-at-omers,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +e4ee1156-9493-41e5-ade7-80cd60f95d2a,298777366,CN,"Intern, Data Migration and Governance, Analyst",on_site,"Ontario, Canada",2024-01-04T06:45:02.351Z,"
                                                                +

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                +

                                                                +

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration and Governance, Analyst position in Montreal, QC from May – August 2024.

                                                                +

                                                                Job Summary

                                                                +

                                                                The Intern, Data Migration and Governance, Analyst is responsible for contributing to the implementation of data management and governance strategies in a large and complex Enterprise Resource Planning (ERP) business transformation. The position helps develop skills and practical experience in a data-centric digital transformation. The role consists of assisting business and Information and Technology (I&T) stakeholders in performing Master Data profiling, cleansing and construction so it meets CN requirements before being migrated to the new system. Additionally, the position involves identification and validation of Master Data Governance (MDG) rules and workflows to ensure newly created Master Data complies with CN requirements as it gets defined over time. The areas of business covered by the Master Data will be the Mechanical department (which targets rolling assets, such as locomotives) and the Engineering department (which targets the non-rolling assets, such as tracks, signalling, and bridges). The incumbent takes part in the validation and integrated testing cycles that are being planned as part of the transformation program.

                                                                +

                                                                Major Responsibilities

                                                                +

                                                                Master Data Conversion and Quality – 50%

                                                                  -
                                                                • Developing novel AI solutions that facilitate impactful products;
                                                                • -
                                                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                                                                • -
                                                                • Working with the development team to transfer research work into production;
                                                                • -
                                                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                • -
                                                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                • +
                                                                • Identify data objects and profiling quality
                                                                • +
                                                                • Assist stakeholders in Master Data cleansing, construction strategies and implementation
                                                                • +
                                                                • Participate actively in Master Data Conversion Mock cycles, from data loading, analysis, corrective measure implementation and validation
                                                                • +
                                                                • Enhance and promote the Master Data quality tool Proof of Business Value
                                                                • +
                                                                • Be involved in specialized Data Conversion platforms, such as Syniti ADM
                                                                -

                                                                You’re our ideal candidate if you have:

                                                                +

                                                                Master Data Governance – 50%

                                                                  -
                                                                • Experience in researching or applying causal inference;
                                                                • -
                                                                • A passion for solving open problems using data and algorithms;
                                                                • -
                                                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                • -
                                                                • Ability to formulate and drive a research project independently without close supervision;
                                                                • -
                                                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                • +
                                                                • Assist stakeholders in identifying, implementing, and validating Master Data business rules and workflow requirements in conjunction with business owners
                                                                • +
                                                                • Validate data governance roadmap and strategy on specialized tools and platforms, such as System, Applications, and Products (SAP) MDG and Asset Information Workbench (AIW)
                                                                • +
                                                                • Participate in Integrated Test Cycles, as defined by the program, to validate Master Data-related Business Processes
                                                                -

                                                                What’s in it for you?

                                                                +

                                                                Requirements

                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                • Interest in managing data and business processes
                                                                • +
                                                                • Applies critical thinking
                                                                • +
                                                                • Interest in identifying issues and applying resolution in complex data sets
                                                                • +
                                                                • Knowledge of Microsoft Office (Excel and other equivalent productivity tools) way)
                                                                • +
                                                                • Knowledge of Structured Query Language (SQL) scripting*
                                                                • +
                                                                • Communicates with impact
                                                                • +
                                                                • Works with geographically distributed colleagues, collaborates with others and shares information
                                                                -

                                                                About Borealis AI

                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                -
                                                                -
                                                                -
                                                                -
                                                                -
                                                                -
                                                                -
                                                                -
                                                                ",,https://www.borealisai.com/careers/?gh_jid=5689077002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-21T15:39:00.000Z,False,0,3,49,https://talenthub.vectorinstitute.ai/jobs/162649012-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-11-02T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, -41191b9b-dd85-4235-aa14-65648c92e3ac,162649009,Borealis AI,Machine Learning Researcher - Atom Group,on_site,"Toronto, ON, Canada",2022-11-02T17:27:31.841Z,"
                                                                -

                                                                What\'s the opportunity?

                                                                -

                                                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                -

                                                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                -

                                                                Your responsibilities include:

                                                                +

                                                                Education

                                                                +
                                                                • Working towards a Bachelor’s Degree in any Technical or Business fields with interest in data management, including Business Analysis and Processes, Mathematics, Statistics, Data Science, and Engineering
                                                                +

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                +

                                                                +

                                                                +

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11968?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/298777366-intern-data-migration-and-governance-analyst-at-cn,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +92a65e8f-b39d-42a0-aab8-bb5193d2a6ad,295867484,Scotiabank,"Manager, CCR Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-12-18T16:26:01.832Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 189329

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Excited about creating a safer financial world by using your data, analytics, and modelling skills?Join us!

                                                                +

                                                                +

                                                                As the Market Risk Measurement (MRM) team, we are an established leader in risk methodologies with many awards and several firsts in the Canadian banking sector: We prepare Scotiabank for the adoption of new regulatory and industry-wide initiatives and played a key role in Scotiabank becoming the first bank in Canada to receive regulatory approval for using Internal Model Methods (IMM) for Counterparty Credit Risk. We currently lead the Bank’s project to implement the Fundamental Review of the Trading Book (FRTB). As part of this, we have provided major contributions to discussion with regulators on changes that increase the financial stability of banking systems world-wide.

                                                                +

                                                                +

                                                                MRM is actively involved in the Bank’s Diversity & Inclusion (D&I) initiatives representing the diverse gender, cultural and ethnic backgrounds of our team. The more diverse we are, the more balanced our approach and models will be! The team is a key contributor to Women-in-Leadership activities – we take part in enterprise-wide D&I discussions, events, and Employee Resource Groups to enhance the representation and recognition of minority groups in the bank.

                                                                +

                                                                +

                                                                We are looking for people and talent that will help us drive these large-scale initiatives forward and work alongside our diverse team of quants, data scientists and developers and collaborate with our many stakeholders across Scotiabank.

                                                                +

                                                                +

                                                                Is this role right for you?

                                                                +

                                                                Do you love to apply your data analytics and modelling skills to solve relevant problems? Do you want to be part of the exciting endeavour of building out the next generation market risk framework to make a safer financial world? This role is ideal for a person with quantitative background who is keen to help in bank-wide projects that require a high degree of communication and stake-holder management. This is also a good starter role for someone with a strong quantitative background with proven interest in Finance, Economics, Derivatives, or Risk Management via reading and self-education.

                                                                +

                                                                +

                                                                As a member of the Counterparty Credit Risk Analytics team, you will work with the Bank’s Counterparty Credit Risk (CCR) systems which cover measurement of Potential Future Exposure (PFE), IMM capital and xVA pricing. The team is at the forefront of new bank-wide initiatives related to CCR systems with exposure to many stakeholders from business and risk functions. You will collaborate with front-office, model developers, credit risk managers, data governance teams, and technology to build out analytics support and data solutions to ensure accurate reporting and insights on CCR measures used to monitor CCR in the Bank’s CCR Monte Carlo engine as well as capital calculation system.

                                                                +

                                                                +

                                                                In this role, you will:

                                                                +
                                                                • Take a hands-on role in several key strategic initiatives that are highly quantitative and key to accurate and timely CCR reporting.
                                                                • Collaborate with front office, model development, technology, and downstream data users to support daily exposure investigations.
                                                                • Take on a central role in Identifying CCR data issues and streamlining priorities. Collaborate with data governance teams to drive CCR data issues resolution.
                                                                • Develop and automate control processes to identify data challenges affecting accuracy of CCR measures. Development is typically completed in SQL or python.
                                                                • Develop and implement analytics dashboard through the Power BI framework within the CCR database to support monitoring and drilldown investigation of CCR measures.
                                                                • Assist team members with various operational responsibilities including daily run of critical risk reports and corresponding analyses, ad-hoc data pulls and analyses, documentation, other regular reporting, etc.
                                                                • Become an active member of the team including our D&I initiatives and communities.
                                                                • +
                                                                +

                                                                +

                                                                Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                                +
                                                                • Solid quantitative background and problem-solving skills with a keen interest in Finance, Economics, Derivatives, Risk framework and Regulations (i.e., exposure reporting, capital, etc.).
                                                                • Advanced degree in a mathematics, economics, or scientific discipline (e.g., Mathematics, Statistics, Physics, Engineering, Biology, Finance, Economics, etc.). Master’s degrees or PhDs are a bonus.
                                                                • Excellent communication skills and specifically the ability to summarize complex ideas in simple terms. Strong presentation and writing skills.
                                                                • Ability to critically evaluate impact across systems/processes; and to define and effectively communicate objectives and solutions with the corresponding stakeholders.
                                                                • You like communication and stakeholder management, and you strive to push forward projects.
                                                                • SQL programing is essential to support day-day activity.
                                                                • Hands-on experience with Python and/or other Object-Oriented languages and Unix bash scripting is preferred.
                                                                • Knowledge of databases and BI tools (especially MS Power BI) is an asset.
                                                                • Knowledge of industry wide methods for CCR calculations or experience with CCR management is an asset.
                                                                • +
                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +
                                                                • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                                • A rewarding career path with diverse opportunities for professional development.
                                                                • Internal development to support your growth and enhance your skills.
                                                                • A competitive compensation and benefits package.
                                                                • An organization committed to making a difference in our communities– for you and our customers.
                                                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                • +
                                                                +

                                                                +

                                                                This position is located Downtown, Toronto.

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-08T16:31:06.342Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/295867484-manager-ccr-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b94f31e2-88e5-4f11-92a0-c623f891dea8,342351746,BMO Financial Group,First Nations / Inuit / Métis – Manager - Data analytics,on_site,"Ontario, Canada",2024-09-16T12:06:02.446Z,"
                                                                +

                                                                Application Deadline:

                                                                09/25/2024

                                                                +

                                                                +

                                                                Address:

                                                                VIRTUAL59 - HomeRes - ON - BMO

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

                                                                +

                                                                Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                                                +

                                                                This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                                                +

                                                                +

                                                                +

                                                                Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                                                  -
                                                                • Developing novel AI solutions that facilitate impactful products;
                                                                • -
                                                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                • -
                                                                • Working with the development team to transfer research work into production;
                                                                • -
                                                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                • -
                                                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                • +
                                                                • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                • +
                                                                • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                • +
                                                                • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                • +
                                                                • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                • +
                                                                • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                • +
                                                                • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently and regularly handles non-routine situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                -

                                                                You’re our ideal candidate if you have:

                                                                +

                                                                +

                                                                Qualifications:

                                                                +

                                                                Intermediate level of proficiency:

                                                                  -
                                                                • A passion for solving open problems using data and algorithms;
                                                                • -
                                                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                • -
                                                                • Ability to formulate and drive a research project independently without close supervision;
                                                                • -
                                                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                • -
                                                                • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                                                • -
                                                                • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                                                • +
                                                                • Mathematics, statistics & operations research.
                                                                • +
                                                                • Deep learning.
                                                                • +
                                                                • Machine learning.
                                                                • +
                                                                • Trust, bias and ethics.
                                                                • +
                                                                • Creative thinking.
                                                                • +
                                                                • Critical thinking.
                                                                -

                                                                What’s in it for you?

                                                                +

                                                                Advanced level of proficiency:

                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                • +
                                                                • Big data.
                                                                • +
                                                                • Data visualization.
                                                                • +
                                                                • Computational thinking and programming.
                                                                • +
                                                                • Data wrangling.
                                                                • +
                                                                • Data preprocessing.
                                                                • +
                                                                • Creative reasoning.
                                                                • +
                                                                • Verbal & written communication skills.
                                                                • +
                                                                • Collaboration & team skills.
                                                                • +
                                                                • Analytical and problem solving skills.
                                                                • +
                                                                • Influence skills.
                                                                • +
                                                                • Data driven decision making.
                                                                • +
                                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                -

                                                                About Borealis AI

                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                                                -
                                                                ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-21T15:39:00.000Z,False,0,6,69,https://talenthub.vectorinstitute.ai/jobs/162649009-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2022-11-02T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, -9e1c0c12-6c17-4bd4-9cc2-e85d3c3e818e,168851461,Omers,Data Scientist,on_site,"Toronto, ON, Canada",2022-11-19T17:42:02.852Z,"
                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                The Data Scientist will join the dynamic Enterprise Data & Advanced Analytics team within Data & Technology that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Data Scientist will work alongside analytics specialists on their team and partner with data and analytics specialists within businesses and corporate functions to design, develop, implement and scale advanced solutions following best practices to drive measurable business outcomes.



                                                                Reporting to the Director of Enterprise Data Science, you will work closely with our Businesses, Corporate Functions, Enterprise Architecture, Business Relationship Management, Infrastructure and Enterprise Service Management, Cyber, Data Engineering, Data Governance and Analytics Strategy teams to deploy new capabilities following leading product management and AI system methodologies. You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio, building an understanding of their needs and how to apply data, analytics and AI techniques to increase scale and operational efficiency, enhance self-service capabilities and elevate the understanding & application of these capabilities across the company.



                                                                The Data Scientist will partner with internal stakeholders and external partners to build out AI systems and deliver data analytics projects within set timelines. They meet objectives and focus on priorities which drive the successful operation of this Department and ensures alignment with OMERS business and technology strategy.

                                                                +

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                +

                                                                Salary:

                                                                +
                                                                $81,600.00 - $151,200.00

                                                                +

                                                                Pay Type:

                                                                Salaried

                                                                +

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                +

                                                                +

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                +

                                                                +

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/First-Nations---Inuit---Mtis---Manager---Data-analytics_R240020675?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-24T08:23:01.871Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/342351746-first-nations-inuit-metis-manager-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +dd3b8ae8-d00f-4632-9d97-b05b23f6d674,141719171,CIBC,"Consultant, Business Systems Analysis",on_site,"Ontario, Canada",2022-08-04T10:46:02.724Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You\'ll Be Doing

                                                                +

                                                                As a Business Systems Consultant you will be responsible for providing management reporting and business analytics to support IT Senior Management. This includes creating and delivering regular and ad hoc reports as well as conducting analysis to support business decisions and initiatives

                                                                +

                                                                +

                                                                How You\'ll Succeed

                                                                +
                                                                  +
                                                                • +Data Analytics & Reporting: Gather key business metrics that will support management and risk reports on a regular basis. Perform business analysis to support business decisions and initiatives. Provide Information Governance by maintaining a Metric Dictionary and calendar of key deliverables
                                                                • +
                                                                • +Understanding and Documenting Requirements - Work closely with business partners to gather complex business requirements and facilitate solution design discussions to ensure you meet project needs. Build strong relationships, lead discussions, listen and ask the right questions to ensure solutions meet requirements.
                                                                • +
                                                                • +Leading and Mentoring – Support technology project implementation as a data subject matter expert, and provide guidance to a diverse team of technology and project professionals. Maintain a collaborative work environment and support team members to resolve organizational, operational, and process problems.
                                                                • +
                                                                +

                                                                +

                                                                Who You Are

                                                                  -
                                                                • Fostering strong relationships among cross-functional teams and facilitating decision making within multi-level audiences. Applying a system thinking approach to lead execution of data, analytics and AI initiatives quickly and in collaboration with other teams
                                                                • -
                                                                • Driving the implementation of corporate/strategic objectives via AI/ML driven projects and seeing opportunities
                                                                • -
                                                                • Building ML projects from experiments and hands-on solutioning through to production
                                                                • -
                                                                • Implementing model tracking, updating, and auto-train capabilities in addition to accounting for drift and imbalance
                                                                • -
                                                                • Building and maintaining NLP models using state of the art techniques like transformers and seq2seq for the purposes of classification, sentiment analysis, entity extraction, and more
                                                                • -
                                                                • Driving analytics innovation by posing open ended questions, exploring new ideas, recommending the appropriate techniques to solve challenging business problems and rapid prototyping
                                                                • -
                                                                • Developing, deploying, and operationalizing data science products along with the supporting integrated tools and processes, including but not limited to security, performance, scalability, and extendibility
                                                                • -
                                                                • Hands on creation and oversight of analytical models, conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenance
                                                                • -Remaining on the “leading edge” of emerging data, analytics and AI technologies and techniques to identify and implement novel tools and techniques and their application to new use cases and deployment opportunities -
                                                                • -
                                                                • Driving a culture of innovation and AI by taking initiatives for activities such as lunch and learns, hackathons, paper readouts, etc.
                                                                • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do. +
                                                                • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                                • +
                                                                • +You\'re driven by collective success and your influence makes an impact. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                                                                • +
                                                                • +You have strong business acumen, including 4 to 8 years of working experience, preferably with 2 years of consulting experience. A university degree is required (Engineering, Computer Science or Business preferred) with an MBA being nice to have. A developed working knowledge of the IT industry is essential. Operations Risk experience is an asset.
                                                                • +
                                                                • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                -

                                                                To succeed in this role, you have:

                                                                +

                                                                What you need to know

                                                                  -
                                                                • A undergraduate or graduate degree in Computer Science, Engineering, Statistics, Mathematics or any other quantitative field
                                                                • -
                                                                • Minimum five (5) years’ experience working in a data science/ Machine Learning environment
                                                                • -
                                                                • 1-3+ years of experience leading and delivering enterprise-scale data science/ML projects and facilitating collaboration across teams
                                                                • -
                                                                • A proven grasp of the practical and theoretical aspects of statistical and deep learning such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and more
                                                                • -
                                                                • Experience building scalable and automated ML pipelines with strong Python programming skills
                                                                • -
                                                                • Natural language computing/understanding experience including but not limited to source data extraction, structuring, named entity extraction, sentiment analysis, topic modelling, and more
                                                                • -
                                                                • Experience with framework such as TensorFlow, Keras, PyTorch, MxNet and the sci-kit learn library
                                                                • -
                                                                • Proficiency with git is a must
                                                                • -
                                                                • Experience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plus
                                                                • -
                                                                • Experience working in the financial sector- ideally banks or investment firms, is an asset
                                                                • -
                                                                • Experience within Pensions, Investments and Commercial Real Estate sectors are an asset
                                                                • -
                                                                • Hands-on experience with big data systems such as Spark, Hadoop, Hive and ideally cloud technologies such as Azure Data Factory, AzureML, Azure Synapse, Google Fusion, Google BigQuery, AWS SageMaker, and others
                                                                • -
                                                                • Experience in using external/alternative data, data modeling, data architecture, data engineering, insight generation, data visualization, feature engineering and AI systems development & optimization
                                                                • -
                                                                • A passion around learning new technologies and analytical techniques with a track record of acting on this in prior roles and in their free time through projects, partnerships, mentoring and hackathons
                                                                • -
                                                                • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating teams and delivering multiple projects simultaneously serving multiple stakeholders
                                                                • -
                                                                • The ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                                                                • -
                                                                • Demonstrated experience applying product management, design thinking and human centered design
                                                                • -
                                                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                                                • +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-CC East 11th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Agile Methodologies, Change Management, Management Consulting, Microsoft PowerPoint, Microsoft Project, Microsoft Visio, Microsoft Word, Problem Solving
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Business-Systems-Analysis_2119312,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-08-18T10:51:14.701Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/141719171-consultant-business-systems-analysis-at-cibc,,expired,2022-08-04T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +11e05f04-9231-4982-9e22-63de7678673c,138455453,Sun Life Financial,Sr Software Engineer ( Data Engineer),on_site,"Ontario, Canada",2022-07-21T07:26:01.628Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Vaccination Policy

                                                                -

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Scientist_JR-4009?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-21T17:47:08.995Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/168851461-data-scientist-at-omers,,expired,2022-11-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -5314bc0a-54b4-4704-bc09-4f743366f062,158772638,Reticle,Director of AI,temporary,"Toronto, ON, Canada",2022-10-21T19:14:05.989Z,"

                                                                The Role:

                                                                -

                                                                To facilitate the continued growth and innovation of Reticle, we’re seeking a Director of AI. This role requires an experienced and analytical individual to produce and implement innovative modelling techniques that incorporate a variety of features – including text, entities, images, etc. – to inform and enhance the classification outcomes of our model. The ideal candidate will have prior experience in advertising technology, a team-first attitude, and a passion for building compelling data products.

                                                                +

                                                                Job Description:

                                                                +

                                                                Sr Software Engineer ( Data Engineer)

                                                                +

                                                                We are looking for an experienced and high-performing individual to join our Data and Analytics Delivery team as a Sr Software Engineer. This senior technical leadership role is responsible for the design, building, deployment and support of data integration, BI reporting and analytic solutions, and application integration solutions using Informatica, Python, AWS Glue and supporting tools and services.

                                                                -

                                                                Why You Will Love This Opportunity:

                                                                +

                                                                What do you need to succeed?

                                                                  -
                                                                • This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
                                                                • -
                                                                • Autonomy to spearhead the development, implementation and innovation of an emerging data product using cutting edge technologies.
                                                                • -
                                                                • Supportive and growing team that ensures projects are well-resourced, timelines are attainable, work-life is balanced, and that our business units are organized and aligned.
                                                                • -
                                                                • Nobody else is doing what we’re doing effectively. We have a number of partnerships that will ensure our work is utilized by the largest brands and agencies in the world.
                                                                • +
                                                                • Minimum 5-7 years of experience in developing solutions for data warehouse loads and system integrations using ETL tools such as Informatica PowerCenter

                                                                • +
                                                                • Minimum 2 years of experience with Big Data including knowledge

                                                                • +
                                                                • Nice to have knowledge of HDFS, Tez, and Spark

                                                                • +
                                                                • Minimum 1 year of experience with Python script development using PySpark, Python libraries, configuration driven and object-oriented ETL

                                                                • +
                                                                • Understanding and hands-on expertise on AWS Cloud Computing environment and experience with building ETL using AWS Glue (Python), step and lambda functions

                                                                • +
                                                                • Experience with creating complex data frames/structures in Hadoop for data integration and complex calculations

                                                                -

                                                                Key Job Responsibilities

                                                                -
                                                                  -
                                                                • Design, experiment and evaluate highly innovative models.
                                                                • -
                                                                • Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative data and business judgment.
                                                                • -
                                                                • Analyze and extract relevant information from large amounts of both structured and unstructured data including images and texts to help automate and optimize key processes.
                                                                • -
                                                                • Building and scaling big-data machine learning model pipelines.
                                                                • -
                                                                • Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations.
                                                                • -
                                                                • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
                                                                • -
                                                                • Develop and manage a research agenda that includes defining and conducting experiments and developing prototypes, as well as establishing longer term roadmaps that allow us to deliver production solutions.
                                                                • -
                                                                • Advance the team's overall product vision and direction, while driving continued scientific innovation as a thought leader and practitioner.
                                                                • -
                                                                • Learning and up-skilling new knowledge on Machine learning and educating others
                                                                • -
                                                                • Maintain accountability and strong sense of ownership
                                                                • -
                                                                • Perform hands-on data analysis, build ML models, run regular A/B tests, conduct profiling, tune code, and communicate the learning and impact through senior executive levels.
                                                                • -
                                                                • Collaborate with business, product and tech teams.
                                                                • -
                                                                • Stay up to date with recent scientific publications relevant to the team.
                                                                • -
                                                                +

                                                                Required:- 5 years of Consecutive Residency in Canada for Reliability Clearance.

                                                                -

                                                                Basic Qualifications

                                                                +

                                                                What will you do?

                                                                  -
                                                                • PhD or Master’s degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Quantitative Social Science, or Computer Science
                                                                • -
                                                                • 5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modelling, and communication
                                                                • -
                                                                • 5+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
                                                                • -
                                                                • Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
                                                                • +
                                                                • Provide leadership on the construction and maintenance of robust and efficient data applications and reusable frameworks

                                                                • +
                                                                • Responsible for coordinating or participating in all aspects of the development cycle from design and development to release planning and implementation of data systems.

                                                                • +
                                                                • Translate requirements into detailed functional and technical design using architecturally approved technology

                                                                • +
                                                                • Provide high level solution options and estimates for project proposals, and detailed work estimates in support of assigned work

                                                                • +
                                                                • Deliver solutions according to Systems Development Life Cycle (SDLC) methodology for either waterfall or agile projects

                                                                -

                                                                Preferred Qualifications

                                                                -
                                                                  -
                                                                • Advanced expertise in Python,SQL, Stata, R and/or Scala.
                                                                • -
                                                                • Experience with deep learning–based NLP models such as BERT, OpenAI, ELMo and more
                                                                • -
                                                                • Deep learning architecture skills including CNNs, LSTMs, Transformers
                                                                • -
                                                                • Experienced in deep learning frameworks like Tensorflow, PyTorch
                                                                • -
                                                                • Experience finding practical solutions for ambiguous and challenging business questions
                                                                • -
                                                                • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
                                                                • -
                                                                • Experience directly managing scientists and/or machine learning engineers.
                                                                • -
                                                                • Experience with Big Data technologies such as AWS, Hadoop, Spark, Hive, Lucene/SOLR, or Kafka
                                                                • -
                                                                • Skilled in developing and querying knowledge graph like WikiData
                                                                • -
                                                                • Experience in building and leading small-medium research teams.
                                                                • -
                                                                • Launched research-inspired products/features that impacted real users.
                                                                • -
                                                                • Strong experience working effectively with science, data processing, and software engineering teams
                                                                • -
                                                                • Entrepreneurial spirit combined with strong architectural and problem solving skills
                                                                • -
                                                                • Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
                                                                • -
                                                                -

                                                                -

                                                                Perks:

                                                                -
                                                                  -
                                                                • Remote/Hybrid role
                                                                • -
                                                                • Benefits and wellness package
                                                                • -
                                                                • 3 weeks vacation
                                                                • -
                                                                • Paid cell phone
                                                                • -
                                                                • Fridays off before long weekends
                                                                • -
                                                                ",jonah.cait@hotspexmedia.com,,jonah.cait@hotspexmedia.com,http://www.reticleai.com,,,2022-11-23T14:58:59.546Z,False,0,0,41,https://talenthub.vectorinstitute.ai/jobs/158772638-director-of-ai-at-reticle,,expired,2022-10-21T19:14:00.000Z,website,Startup (1-19),Vector Quick Apply,Technology (Product Development),Senior Level,Masters Degree,New Posting, -9069bf13-6252-4390-a1fa-7905b201510e,178993405,KPMG,"Data Scientist (Intern/Co-op), Lighthouse Canada",on_site,"Toronto, Canada",2022-12-19T17:26:02.230Z,"

                                                                Overview

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                -

                                                                -

                                                                Why KPMG Lighthouse?

                                                                -

                                                                -

                                                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                                -
                                                                  -
                                                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                                • -
                                                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                                • -
                                                                • Our teams build and deliver solutions that transform the business of our clients
                                                                • -
                                                                • Our regional hubs are in strategic markets and provide specialty services to local teams
                                                                • -
                                                                -

                                                                KPMG Lighthouse Canada has an exciting opportunity for Data Scientists (Intern/Co-op) to join our team for 4-8 months starting in May 2023!

                                                                -

                                                                -

                                                                ** Please note that you must be enrolled in a Canadian post-secondary educational institution to be eligible for this opportunity.

                                                                -


                                                                What you will do

                                                                -
                                                                  -
                                                                • Work with a group of data scientists, data engineers to solve interesting and challenging business problems using advanced data analytics, AI and ML solutions.
                                                                • -
                                                                • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                                • -
                                                                • Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
                                                                • -
                                                                • Work with large volumes of data (structured and unstructured).
                                                                • -
                                                                • Perform quantitative analysis of data issues.
                                                                • -
                                                                • Work in teams or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • -
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • -
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • -
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • -
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • -
                                                                • Support application testing and production implementation as required.
                                                                • -
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • -
                                                                -


                                                                What you bring to the role

                                                                -
                                                                  -
                                                                • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                                                • -
                                                                • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                                • -
                                                                • Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
                                                                • -
                                                                • Experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • -
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • -
                                                                • Experience working in a multi-disciplinary team to tackle structured or unstructured data processing problems across a diverse range of industries
                                                                • -
                                                                • Strong ability to use Python and other packages such as Pandas and NumPy for data analysis and cleansing tasks
                                                                • -
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • -
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • -
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                • -
                                                                -

                                                                Keys to your success:

                                                                -
                                                                  -
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • -
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • -
                                                                • Ability to understand and explain business value of data and analytics concepts.
                                                                • -
                                                                • Knowledge of machine learning to collaborate with the team on ML projects
                                                                • -
                                                                • Experience in visual exploration to perform data discovery and highlight insights
                                                                • -
                                                                • Knowledge of how specific visual components drive usability and understanding
                                                                • -
                                                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                • -
                                                                -

                                                                To apply:

                                                                -

                                                                -

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                -

                                                                -

                                                                Applications close on January 17th, 2023 at 11:59 PM ET.

                                                                -

                                                                -

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                -


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                -

                                                                -

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                -

                                                                -

                                                                Providing you with the support you need to be at your best

                                                                -

                                                                -

                                                                -

                                                                -

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                -


                                                                Our Values, The KPMG Way

                                                                -

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                -

                                                                -

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                -

                                                                -

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                -

                                                                -

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                -

                                                                -

                                                                ",,https://careers.kpmg.ca/students/jobs/18648?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-19T21:12:00.000Z,False,0,25,62,https://talenthub.vectorinstitute.ai/jobs/178993405-data-scientist-intern-co-op-lighthouse-canada-at-kpmg,https://careers.kpmg.ca/students/jobs/18648?lang=en-us,expired,2022-12-19T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -bdc0e8f7-29da-4aee-a381-b376af80d295,179960454,KPMG,"Risk Consultant (Full Time, New Grad), Forensic Data Analytics",on_site,"Toronto, Canada",2022-12-22T17:26:07.091Z,"

                                                                Overview

                                                                -

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                -

                                                                -

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities

                                                                -

                                                                -

                                                                About KPMG Forensic:

                                                                -

                                                                -

                                                                Using cutting-edge technology and methodologies, KPMG Forensic professionals help clients to manage the risks of money laundering, sanctions, fraud, misconduct, and regulatory non-compliance; maintain organizational integrity; manage reputational risk; address and simplify issues related to litigation (including avoidance); and limit financial exposure to loss. We help uncover the facts and support in creating clarity when people and organizations do not agree, or where financial and business behavior does not comply with expectations. Our professionals can offer support to help our clients investigate allegations of litigation support, financial crime, fraud and misconduct, enhance their financial crime programs, provide analytical services, and help meet regulatory requirements.

                                                                -

                                                                -

                                                                KPMG Forensic is a core part of KPMG’s Risk Consulting practice, which helps clients to improve risk intelligence and decision making, protect financial and reputational assets, and enhance business value through a range of trusted, digitally powered, and forward-thinking solutions for navigating business risks.

                                                                -

                                                                -

                                                                KPMG's Forensic Data Analytics team has an exciting opportunity for new grads to join our team full time in 2023.

                                                                -


                                                                What you will do

                                                                -

                                                                With KPMG Forensic, in this highly specialized group you will have a unique opportunity to be exposed to a fast-paced specialization that will allow you to combine your deep analytical and mathematical knowledge with forensic and investigative skills and leverage data analytic tools and techniques. The variety of assignments will provide you with the opportunity to gain exposure to many interesting and challenging situations. As KPMG is committed to capability development and continuous learning, this role provides an exceptional opportunity for both formal and hands-on training.

                                                                -

                                                                -

                                                                You will assist in financial crime analytics, investigations, quantification of damages, fraud risk management, litigation support, data analytics support, insurance claims quantification, regulatory compliance, and similar assignments in both the public and private sector, with a focus on learning the required skills and knowledge to progress in this dynamic and growing specialization.

                                                                -

                                                                -

                                                                This role includes but is not limited to:

                                                                +

                                                                Preferred Skills

                                                                  -
                                                                • Assist clients such as financial institutions, FinTechs, and Cryptocurrency organizations to build, optimize, transform, validate, and enhance their financial crimes technology solutions
                                                                • -
                                                                • Help clients adapt existing technology to meet changing operational requirements with Anti-Money Laundering (AML) and Fraud detection compliance systems
                                                                • -
                                                                • Performance of and assistance in project tasks, including for example: financial analysis, document review, interviews, leveraging data analytics tools and techniques, report and internal working paper preparation, and file organization and administration,
                                                                • -
                                                                • Assisting in client/engagement acceptance
                                                                • -
                                                                • Assisting with the development of engagement and project plans
                                                                • -
                                                                • Performance of and assistance in project tasks, including for example: financial analysis, document review, interviews, leveraging data analytics tools and techniques, report and internal working paper preparation, and file organization and administration,
                                                                • -
                                                                • Participating in marketing and business development activities,
                                                                • -
                                                                • Sharing in the administrative tasks related to the operation of KPMG Forensic
                                                                • +
                                                                • Experience with production implementation change management processes

                                                                • +
                                                                • Experience with project management and software development life cycle /SDLC; Agile and Lean (3+ years)

                                                                • +
                                                                • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting (3+ years)

                                                                • +
                                                                • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities

                                                                -

                                                                -

                                                                To learn more about the service line, please click here: KPMG Forensic Services.

                                                                -

                                                                -


                                                                What you bring to the role

                                                                -

                                                                You’re a highly motivated student who strives for excellence, innovation and collaboration. You’re passionate about being involved in your local community and university and have a proven ability to achieve personal and professional success while juggling competing priorities and deadlines. You have a strong academic record and are committed to achieving your learning advanced analytical techniques.

                                                                -

                                                                -

                                                                Keys to your success:

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • Recently completed a bachelor's degree from an accredited college/university in a technology or quantitative oriented field such as Computer Science, Engineering, Math, Statistics, Data Analytics, Applied Intelligence or Finance
                                                                • -
                                                                • Strong relationship-building skills that will enable you to easily interact with clients, colleagues, and the wider community.
                                                                • -
                                                                • A commitment to continual learning – developing new skills, taking on new responsibilities and broadening your knowledge through research.
                                                                • -
                                                                • The ability to provide crucial consultation and analysis for the variety of clients you will serve.
                                                                • -
                                                                • Excellent written communication skills; able to demonstrate a strong business acumen, as well as an innovation-driven and a solution-oriented mindset.
                                                                • -
                                                                • Beneficial software/programming languages include but are not limited to Databases (SQL Server, Oracle, Teradata, MongoDB, Spark), Modelling & Analytics (Python, R, SAS, SPSS), Business Intelligence (Tableau, SpotFire, Alteryx, QlikView), Microsoft Access, and Visual Basic
                                                                • -
                                                                -

                                                                To apply:

                                                                -

                                                                -

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                -

                                                                -

                                                                Applications close on January 17th, 2023 at 11:59 PM ET.

                                                                -

                                                                -

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                -


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                -

                                                                -

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                -

                                                                -

                                                                Providing you with the support you need to be at your best

                                                                -

                                                                -

                                                                -

                                                                -

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                -


                                                                Our Values, The KPMG Way

                                                                -

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                -

                                                                -

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                -

                                                                -

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                -

                                                                -

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                -

                                                                -

                                                                ",,https://careers.kpmg.ca/students/jobs/18765?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-19T21:11:00.000Z,False,0,11,36,https://talenthub.vectorinstitute.ai/jobs/179960454-risk-consultant-full-time-new-grad-forensic-data-analytics-at-kpmg,https://careers.kpmg.ca/students/jobs/18765?lang=en-us,expired,2022-12-22T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, -6580c62f-d92b-403c-a1dc-a287d81d0b30,188133655,Scotiabank,Velocity - Treasury Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-18T17:22:04.815Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169656

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Term: May - August 2023

                                                                -

                                                                Application Deadline: 01/23/2023

                                                                -

                                                                -

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                -

                                                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                -

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -
                                                                • Conduct reviews to ensure compliance with regulatory requirements.
                                                                • Assist with reviewing and enforcing policies and procedures.
                                                                • Provide support to various teams within Group Treasury.
                                                                • Attend meetings with key stakeholders and leadership.
                                                                • Undertake projects as required.
                                                                • Review files for forecasting to ensure consistency.
                                                                • Prepare data and work with data analytics.
                                                                • -
                                                                -

                                                                -

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                -
                                                                • You are currently enrolled in post-secondary education.
                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                                                                • You are a highly self-motivated individual with strong time-management skills.
                                                                • You have an analytical mindset and investigative abilities.
                                                                • You can lead high volume, time sensitive projects.
                                                                • You have strong written and verbal communication skills.
                                                                • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
                                                                • Understanding of Capital Markets products is considered an asset.
                                                                • Understanding of PowerBI, VBA, SAS, SQL or Tableau is considered an asset.
                                                                • Ability to code in Python is also considered an asset.
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US.

                                                                • +
                                                                • Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Remote (work from home)

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • A friendly, collaborative, and inclusive culture

                                                                -

                                                                -

                                                                How do I apply?

                                                                -

                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                                                -

                                                                -
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. -
                                                                -
                                                                1. Complete a short one-way video interview here.
                                                                2. -
                                                                -
                                                                1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                2. -
                                                                -

                                                                -

                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                -

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Summer-2023-ON/566051117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/188133655-velocity-treasury-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Summer-2023-ON/566051117/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -a73333e6-a1f9-4044-ad0a-98b7ac8305ea,179960335,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-12-22T17:24:04.985Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                -
                                                                +
                                                                +

                                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Delivery

                                                                -
                                                                  -
                                                                • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                                                • -
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • -
                                                                • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                                                • -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • -
                                                                • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                                                • -
                                                                • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                                                • -
                                                                -

                                                                Expertise & Leadership

                                                                -
                                                                  -
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • -
                                                                • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                                                • -
                                                                • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                                                • -
                                                                • Communication and Stakeholder Management
                                                                • -
                                                                • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                                                • -
                                                                • Advanced communication, business acumen and stakeholder management competencies
                                                                • -
                                                                • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                                                • -
                                                                • Exceptional collaborator in a high-interaction environment
                                                                • -
                                                                • Foresee needs from business partners to prescribe effective solutions
                                                                • -
                                                                • Leverage empirical evidence and facts to influence/support decision making
                                                                • -
                                                                • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                                                • -
                                                                • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                                                • -
                                                                +

                                                                #LI-Remote

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -
                                                                  -
                                                                • Ability to translate business requirements into technical and analytical tasks
                                                                • -
                                                                • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                                                • -
                                                                • Technical understanding and critical thinking to challenge status quo
                                                                • -
                                                                • Strong problem-solving skills, mathematical and data literacy
                                                                • -
                                                                • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                                                • -
                                                                • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                                                • -
                                                                • Demonstrated experience in data transformation and data manipulation.
                                                                • -
                                                                • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                                                • -
                                                                • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                                                • -
                                                                • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                                                • -
                                                                • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                                                • -
                                                                • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                                                • -
                                                                • Experience with machine learning including supervised and unsupervised models.
                                                                • -
                                                                -
                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Additional Information

                                                                -
                                                                -#datascientist #LI-Hybrid

                                                                -

                                                                Locations:
                                                                Toronto
                                                                Montreal
                                                                Markham
                                                                London
                                                                Ottawa

                                                                -

                                                                * L7- L10

                                                                -
                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,6,29,https://talenthub.vectorinstitute.ai/jobs/179960335-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -660e422b-38f0-4ef7-a007-c192a06952f9,188133649,Scotiabank,"Velocity - Global Risk Management Intern, Summer 2023 (for Students Graduating Prior to Summer 2024)",on_site,Canada : Ontario : Toronto,2023-01-18T17:22:04.478Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169721

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                74,900/74 900 - 125,900/125 900

                                                                +

                                                                Job Category:

                                                                IT - Technology Services

                                                                +

                                                                Posting End Date:

                                                                +
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Sr-Software-Engineer_JR00058777?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-08-18T07:31:04.851Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/138455453-sr-software-engineer-data-engineer-at-sun-life-financial,,expired,2022-07-21T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bb3e3624-3cdc-4af0-be6a-76f13fb38d38,143593872,Scotiabank,"Director, Data Governance and Analytics",on_site,Canada : Ontario : Toronto,2022-08-11T20:19:03.297Z,"

                                                                -

                                                                Term: May-August 2023

                                                                -

                                                                Application Deadline: 01/23/2023

                                                                -

                                                                There's no better way to kickstart your career than to do a co-op or internship followed by a new graduate program with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). Once you have completed your Velocity co-op term with strong performance, we would like to invite you back after graduation to join the Activate New Graduate Development Program where you will be able to further grow your career within Global Risk Management!

                                                                +

                                                                Requisition ID: 158322

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -
                                                                • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. You’ll be part of a diverse, collaborative, innovative, and high-performing team. You will receive in-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed! As a Velocity student you have access to exclusive events such as Velocity Day, Community Day, Lunch & Learns, leadership panels, and much more!
                                                                • +

                                                                  Position:

                                                                  +

                                                                  Director Data Governance and Analytics, Risk and Business Controls / Global Wealth Management Operations

                                                                  +

                                                                  +

                                                                  Leads and oversees the Data Governance and Analytics team, a unit within Risk and Business Controls, Global Wealth Management Operations. The incumbent is responsible for the leading and coordinating the implementation of the Bank’s Data Risk Policy across Global Wealth Management; and supports key reporting and data driven insights to improve decision making processes within Risk and Business controls.

                                                                  +

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +

                                                                  +
                                                                  • Drives day to day activities and decisions are consistent with the Bank’s risk appetite and risk culture.
                                                                  -

                                                                  -
                                                                  • The Activate New Graduate Development Program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. As an Associate in the Activate, GRM stream you will spend 18-months rotating to pre-determined areas that will challenge you. You’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.
                                                                  • +

                                                                    +
                                                                    • +Data Governance and Management
                                                                      • Provides strategic direction and thought leadership to drive the implementation of the Bank’s Data Risk Policy and Data Standards across GWM.
                                                                      • Owns and is responsible for leading, developing, and executing on the overall data governance and management roadmap and implementation for GWM to ensure adherence to the Bank’s Data Risk Policy and Data Standards.
                                                                      • Acts as the Data Steward and assists other GWM Data Steward(s) for assigned domains.
                                                                      • Responsible for the communications and reporting related to GWM’s data governance and data management program.
                                                                      • Coordinates with the Enterprise Data Office, IT&S, Business Unit Heads, and other key stakeholders.
                                                                    -

                                                                    -

                                                                    -

                                                                    What is Global Risk Management?

                                                                    -

                                                                    -

                                                                    Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, Financial Crimes Risk Management (AML), and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                                                                    -

                                                                    -

                                                                    About the GRM, Business Banking Credit Risk Stream:

                                                                    -

                                                                    The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                                                                    -

                                                                    -

                                                                    About the GRM, Enterprise Risk Stream:

                                                                    -

                                                                    GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                                                                    -

                                                                    -

                                                                    About the GRM, Financial Crimes Risk Stream:

                                                                    -

                                                                    The Financial Crimes Risk Management (FCRM) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program, including design and effective implementation. The program is designed to mitigate the risks of Scotiabank products or services being used for prohibited activities; and ensure compliance with the laws and regulations applicable to the bank.

                                                                    -

                                                                    -

                                                                    About the GRM, Market Risk Stream:

                                                                    -

                                                                    The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                                                                    -

                                                                    -

                                                                    About the GRM, Retail Credit Risk Stream:

                                                                    -

                                                                    The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                                                                    -

                                                                    -

                                                                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                    -
                                                                    • You are working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Risk Management, Finance, Economics or related discipline with an expected graduation date prior to June 2024.
                                                                    • You are passionate about launching your career in Risk Management through the Activate Program after graduation.
                                                                    • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices.
                                                                    • Knowledge of Python, SQL, VBA, MS Office.
                                                                    • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner.
                                                                    • Attention to detail with a strong ability to multi-task while maintaining a high work standard.
                                                                    • Demonstrated flexibility in adapting to constantly changing environments.
                                                                    • +

                                                                      +
                                                                      • +Analytics and Reporting
                                                                        • Leads initiatives to deliver improved processes and controls by leveraging data
                                                                        • Proactively identifies opportunities to improve operations, streamline and improve existing reporting, and advocates the transition to modern reporting tools (e.g., PowerBI).
                                                                        • Provides expertise on analytical techniques to uncover patterns, trends, and relationships to allow insights to better monitor and manage risk.
                                                                        • Maintains expert knowledge of all primary data sources for the business unit’s data to enable the design, execution, and maintenance of KPI/KRI dashboards to support decision making and monitoring of key customer, operational, financial, and compliance metrics.
                                                                        • Ensures reporting / dashboards have strong internal controls and QA to ensure accuracy, completeness, and meet stakeholder objectives.
                                                                        • Prepare and present analytics/reporting outputs and recommendations business unit and senior management.
                                                                      • +
                                                                      +

                                                                      +
                                                                      • Builds a high-performance culture and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team
                                                                      • +
                                                                      +

                                                                      +
                                                                      • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                      -

                                                                      -

                                                                      How do I apply?

                                                                      -

                                                                      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                      -
                                                                      1. Complete your PLUM Profile here and save as a screenshot.
                                                                      2. Complete a short one-way video interview here.
                                                                      3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                      4. -
                                                                      -

                                                                      -

                                                                      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                      +

                                                                      Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

                                                                      +

                                                                      +
                                                                      • Works closely with partners across Global Wealth Management (Canadian Wealth Management, SSI, and Canadian Asset Management), Enterprise Data Office, and IT&S.
                                                                      • Ability to collaborate and manage relationships and stakeholder expectations is critical.
                                                                      • Deals well with ambiguity and demonstrates a resilient, flexible mindset.
                                                                      • High attention to detail, particularly in support of reporting and analytics projects.
                                                                      • Minimum 8-10 years related work experience demonstrating progressive responsibilities in the areas of data governance, data management, and in analytics/reporting roles.
                                                                      • Knowledge of data governance and data management principles, tools, and practices.
                                                                      • Strong data analytics skillset and experience with SQL, R, Python, Spark; database systems (Hive/Hadoop, SQL server)
                                                                      • Strong communication skills and ability to influence stakeholders is a critical component of this role.
                                                                      • Knowledge of the wealth management and securities industry (e.g., products, operational processes, applications/systems, and data flows) would be an asset.
                                                                      • +
                                                                      +

                                                                      +

                                                                      What’s in it for you?

                                                                      +

                                                                      +
                                                                      • An inclusive and collaborative working environment that encourages creativity, curiosity and celebrates success!
                                                                      • Work with and learn from diverse industry leaders.
                                                                      • +

                                                                      -

                                                                      Location(s): Canada : Ontario : Toronto

                                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-Intern%2C-Summer-2023-%28for-Students-Graduating-Prior-to-Summer-2024%29-ON/566068217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/188133649-velocity-global-risk-management-intern-summer-2023-for-students-graduating-prior-to-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-Intern%2C-Summer-2023-%28for-Students-Graduating-Prior-to-Summer-2024%29-ON/566068217/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ce971581-17e4-4d95-88b9-c519a37a3116,188134080,TD Bank Group,"Manager, Operations Analytics & Insights",on_site,"Toronto, ON",2023-01-18T17:24:04.678Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-and-Analytics-ON-M5C2V9/561922017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-08-18T20:24:14.424Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/143593872-director-data-governance-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Governance-and-Analytics-ON-M5C2V9/561922017/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +0818c7c8-3d75-4daa-93f0-7ec3895db27b,144396019,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-08-16T01:50:18.891Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -47133,38 +46941,38 @@ ce971581-17e4-4d95-88b9-c519a37a3116,188134080,TD Bank Group,"Manager, Operation

                                                                Department Overview

                                                                -

                                                                TD Direct Investing is Canada’s largest direct investing brokerage, empowering over 1 million self-directed investors and traders with its full spectrum of powerful solutions and innovative tools to manage their investments with ease and confidence. As a member of the TD Direct Investing Product, Strategy & National Office team, you have the opportunity to work with results-oriented, curious, innovative, and adaptable people who share your passion to help our clients, and one another, to succeed.

                                                                +
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                +

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +

                                                                Job Description

                                                                -

                                                                Job Description

                                                                -

                                                                Reporting to Senior Manager, Strategic Insights & Analysis, this role will help drive and support TD Direct Investing’s client campaigns and client pricing in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights and decision support to various business initiatives, acquiring data in support of such work, as well as helping to develop and execute robust processes and procedures.
                                                                Key accountabilities include:

                                                                -
                                                                  -
                                                                • Oversee the development and execution of DI campaigns/offer fulfillment processes, including campaign payout calculation and management of client and colleague campaign-related inquires to ensure timely response, collaborating with business partners as needed
                                                                • -
                                                                • Oversee the development and delivery of campaign/offer analysis and reporting to provide management and executive level audiences with a view on the effectiveness of DI’s client acquisition campaigns
                                                                • -
                                                                • Partner with the DI Client Acquisition Team on various campaign design and setup activities; support analysis and forecasting of campaign acquisition volumes and costs
                                                                • -
                                                                • Oversee BAU bespoke client interest rate and commission pricing operation and related control/monitoring activities
                                                                • -
                                                                • Collaborate with partners in Data & Analytics teams across Wealth, Marketing, and Phone Channel to provide day-to-day support and delivery of analytics and insights
                                                                • -
                                                                • Lead the preparation of structured analyses relate to the above topics, often in ambiguous and time-sensitive circumstances, and be able to generate and summarize value-adding insights into coherent, concise executive communication
                                                                • -
                                                                • Apply expertise in querying various DI and pan-Wealth data-sources to obtain relevant data to enable deeper analysis and the generation of value-added insights
                                                                • -
                                                                • Lead the development, execution, and control of business KPI analysis and reporting, campaign fulfillment, and non-standard pricing processes
                                                                • -
                                                                • Contribute to a culture of continuous improvement (through process improvements, automation, improved documentation, etc.)
                                                                • -
                                                                +

                                                                We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                +

                                                                As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                                                +

                                                                You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                Requirements

                                                                -
                                                                ​​​​​​​Job Requirements
                                                                Knowledge of the wealth management industry in Canada and/or the US, ideally with familiarity or hands-on experience with self-directed investing platforms. Familiarity with TD’s Direct Investing Business and client campaigns -
                                                                +

                                                                Must-Have

                                                                +
                                                                  +
                                                                • Engineering leadership experience with having led high-performance engineering teams
                                                                • +
                                                                • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                                                • +
                                                                • You value good software design and sweat over details in code and API design
                                                                • +
                                                                • Knowledge of machine learning modelling workflow
                                                                • +
                                                                • You enjoy learning new technology and educating others
                                                                • +
                                                                • You strive to communicate clearly and with empathy
                                                                • +
                                                                • You take great personal pride in building robust and scalable software
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • +
                                                                +


                                                                Nice to have

                                                                  -
                                                                • Post-secondary undergraduate degree, preferably with a business/accounting, analytics, mathematics, engineering, or computer science focus
                                                                • -
                                                                • Post-undergrad work experience in business/product roles, finance/accounting, and/or analytics/data science
                                                                • -
                                                                • Experience with data extraction, manipulation, and visualization tools (e.g., SQL, Python, Alteryx, Tableau) preferred
                                                                • -
                                                                • Proficiency in Excel and PowerPoint, including experience developing business documents and executive presentations with clear, compelling communications
                                                                • -
                                                                • Ability to understand business questions and issues, think strategically, and synthesize information quickly
                                                                • -
                                                                • Ability to communicate clearly and concisely
                                                                • -
                                                                • Comfortable in operating in a dynamic, fast-paced, and sometimes ambiguous environment
                                                                • -
                                                                • Ability to independently manage deadlines while multitasking between different projects
                                                                • +
                                                                • Experience building a library or a framework
                                                                • +
                                                                • Knowledge of machine learning algorithms
                                                                • +
                                                                • Experience with Azure cloud stack
                                                                • +
                                                                • Data analytics
                                                                • +
                                                                • Comfortable with math or statistics

                                                                @@ -47174,597 +46982,368 @@ ce971581-17e4-4d95-88b9-c519a37a3116,188134080,TD Bank Group,"Manager, Operation

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17467496/manager-operations-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/188134080-manager-operations-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17467496/manager-operations-analytics-insights-toronto-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -211edba7-d1c4-48bf-864f-41fe86586d1b,178993703,OMERS,"Student, Data & Analytics (Summer 2023, 4 Months)",on_site,"Ontario, Canada",2022-12-19T17:42:03.782Z,"
                                                                -

                                                                -

                                                                -

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                -

                                                                We encourage continuous learning and you will be working with many skilled developers with a wealth of experience to guide you. Your work will be meaningful and help drive OMERS further into the future.

                                                                -

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                -
                                                                  -
                                                                • Work with financial and operational data from primary or secondary data sources
                                                                • -
                                                                • Gathering business requirements and documentation following Agile Practices
                                                                • -
                                                                • Work with Product Managers and Stakeholders to prioritize business data needs
                                                                • -
                                                                • Assist with ad-hoc requests related to finance data analytics
                                                                • -
                                                                • Data standardization by reviewing extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, integrity issues and follow data governance policies
                                                                • -
                                                                • Work with management teams to prioritize business, analytics and information needs and understand dashboard requirements
                                                                • -
                                                                • Develop and support financial and operational reporting dashboards within Power BI
                                                                • -
                                                                • Assist with the preparation and development of reporting, presentations and various materials for discussion at the executive level
                                                                • -
                                                                • Exhibit ability to work on multiple projects simultaneously and ensure on-time delivery
                                                                • -
                                                                • Identify, define and implement opportunities for enhancing existing processes
                                                                • -
                                                                -

                                                                -

                                                                You bring the following skills and qualifications:

                                                                -
                                                                  -
                                                                • Bachelor’s degree in Computer Science, Mathematics, Business, or related field
                                                                • -
                                                                • Strong academic track record combined with extra-curricular experience
                                                                • -
                                                                • Excellent programming skills including knowledge of VBA, SQL and Power BI
                                                                • -
                                                                • A creative and enquiring mind to continuously improve current processes
                                                                • -
                                                                • Self-starter and independent attitude
                                                                • -
                                                                • Strong communication skills and a desire to work in a team environment
                                                                • -
                                                                -

                                                                What’s in it for you:

                                                                -
                                                                  -
                                                                • A team that is ready to focus on your growth and development
                                                                • -
                                                                • Continuous learning across different areas of the business
                                                                • -
                                                                • Opportunity to be part of the student community at OMERS & Oxford
                                                                • -
                                                                • An orientation program to set you up for success during your work term!
                                                                • -
                                                                • Networking and educational session with different leaders across the business
                                                                • -
                                                                -

                                                                -

                                                                IMPORTANT: Application Instructions

                                                                -

                                                                To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                                -

                                                                -

                                                                Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Data---Analytics--Summer-2023--4-Months-_JR-4288?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-01-20T17:47:06.487Z,False,0,13,62,https://talenthub.vectorinstitute.ai/jobs/178993703-student-data-analytics-summer-2023-4-months-at-omers,,expired,2022-12-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -89c70200-f201-4461-a1fb-96e7243fc196,178992935,RBC,"Senior Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-12-19T17:16:01.875Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Senior Manager, Data Insight Analytics

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                Our team is the Digital Intelligence Group. We are here to help RBC build best-in-class digital products, optimize client experience, and drive business outcomes through improved use of analytics.

                                                                -

                                                                -

                                                                In this role of Senior Manager, Data Insight Analytics, you will provide leadership and support in using analytics, including advanced analytics and statistical models, to generate actionable insights, automate business actions, and improve the speed and quality of decisions across Digital teams at RBC.

                                                                -

                                                                -

                                                                You will work with Digital Channels and Products for personal and business clients including Mobile, Online Banking, Direct Investing, NOMI and RBC Rewards. You will structure, curate and complete analyses, develop net new data assets and model data that will enable data-driven decisions.

                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                -
                                                                  -
                                                                • BA/BSc or above in mathematics, economics, statistics, computer science or related quantitative field
                                                                • -
                                                                • 7+ years\' experience in related digital product development, marketing analyst or data mining role
                                                                • -
                                                                • Advanced experience with Python or Scala, Google Analytics, Tableau, Data Studio and PowerPoint
                                                                • -
                                                                • Hands-on knowledge of advanced digital analytics methodologies such as experimentation and testing, competitive analysis, surveys and market research
                                                                • -
                                                                • Success with building out an analysis end-to-end with a high degree of independence: i.e., perform lead requirements gathering, develop an analysis plan, wrangle data to suit the problem, apply the right type of analytics and package the output into a presentable deliverable
                                                                • -
                                                                • Storytelling and executive presence: ability to articulate a narrative for an analysis or report
                                                                • -
                                                                • Experience working on agile teams using Github and JIRA
                                                                • -
                                                                • Ability to work with and lead analysts and managers
                                                                • -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-22T16:00:00.000Z,False,0,0,9,https://talenthub.vectorinstitute.ai/jobs/144396019-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-08-16T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +68c7a725-057e-461e-9860-23b992e1df62,142619249,Thomson Reuters,Senior DevOps Engineer - AI/ML,on_site,"Ontario, Canada",2022-08-08T13:32:02.109Z,"
                                                                +

                                                                Want to join a small engineering team dedicated to improving the developer experience for 150+ researchers and engineers applying natural language processing research and delivering ML/AI applications to production?

                                                                +

                                                                Thomson Reuters’ media and software products help run businesses and governments around the world. Thomson Reuters is the parent company of international news agency, Reuters News, and the provider of several subscription-based legal and tax research software services that produce billions of dollars in revenue each year.

                                                                +

                                                                +

                                                                Thomson Reuters Labs is a growing team within Thomson Reuters dedicated to developing Artificial Intelligence (AI) and Machine Learning (ML) powered software products, applying natural language processing research, and advancing software delivery processes and technology adoption across the enterprise.

                                                                +

                                                                In this role, you will join Labs’ Ops and Automation team, working across the software development lifecycle to help the entire team deliver better software faster.

                                                                +

                                                                +

                                                                Sound interesting? Come join us!

                                                                +

                                                                +

                                                                About the Role

                                                                +

                                                                In this opportunity as Labs Senior Cloud and DevOps Engineer, you will: 

                                                                +
                                                                  +
                                                                • Invent new applications, contribute to existing applications.

                                                                • +
                                                                • Mature point-solutions that come out of our project teams into reusable software packages.

                                                                • +
                                                                • Build out a centralized static-site deployment and hosting solution.

                                                                • +
                                                                • Contribute to our distributed service/software registry platform.

                                                                • +
                                                                • Develop packaging, documentation, and AI/ML experiment templates.

                                                                • +
                                                                +
                                                                +
                                                                  +
                                                                • Identify new opportunities and invent and implement new solutions.

                                                                • +
                                                                • Help onboard and upskill our growing team.

                                                                • +
                                                                +

                                                                +

                                                                About You

                                                                +

                                                                You’re a fit for the role of Senior Cloud and DevOps Engineer if you:

                                                                +
                                                                +
                                                                  +
                                                                • Have experience leading other developers, prioritizing, and executing work-items.

                                                                • +
                                                                • Have experience with systems design – architecting and deploying software solutions.

                                                                • +
                                                                • Are biased towards trying thingsvalidating and getting feedback as you 0plan.

                                                                • +
                                                                • Value user-experience you desire to make things simple for yourself and others.

                                                                • +
                                                                +
                                                                +
                                                                  +
                                                                • Enjoy shipping codeyou know how to use CI/CD to achieve continuous improvement.

                                                                • +
                                                                • Have great verbal and written communication skills.

                                                                • +
                                                                • Are comfortable promoting solutions internally and externally.

                                                                • +
                                                                +

                                                                +

                                                                Must have experience with tools:

                                                                +
                                                                +
                                                                  +
                                                                • Git, GitHub

                                                                • +
                                                                • CI/CD: GitHub Actions and/or AWS CodeBuild

                                                                • +
                                                                • AWS: CloudFormation, S3, ECS, EC2, Lambda, API Gateway, etc.

                                                                • +
                                                                • APIs: REST, GraqphQL

                                                                • +
                                                                +
                                                                +
                                                                  +
                                                                • NoSQL: MongoDB, Elasticsearch

                                                                • +
                                                                • Docker

                                                                • +
                                                                +

                                                                +

                                                                Preference towards those who also have some experience with:

                                                                +
                                                                +
                                                                +
                                                                  +
                                                                • Python, JavaScript (ES6) / TypeScript

                                                                • +
                                                                • Veracode, Sonarqube, similar

                                                                • +
                                                                • Solution architecture leadership

                                                                • +
                                                                • Any prior data-science or machine-learning exposure

                                                                • +
                                                                +

                                                                +
                                                                +
                                                                +

                                                                What’s in it For You?

                                                                +

                                                                You will join our inclusive culture of world-class talent, where we are committed to your

                                                                +

                                                                personal and professional growth through:

                                                                +

                                                                +
                                                                • COVID-19 Response: Currently the majority of our employees are working within a hybrid environment consisting of in-office and remote work, and following local COVID-19 bylaws and guidelines.

                                                                +
                                                                +
                                                                  +
                                                                • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                                • +
                                                                • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing

                                                                • +
                                                                • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking

                                                                • +
                                                                • Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                                • +
                                                                • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                • +
                                                                +

                                                                +

                                                                #LI-LP2

                                                                -

                                                                Nice-to-have

                                                                -
                                                                  -
                                                                • MA, MSc or PhD in a quantitative field
                                                                • -
                                                                • Strong understanding of AWS Big Data services such as Amazon S3, EMR and Glue
                                                                • -
                                                                -
                                                                • Knowledge and experience in areas of data modeling, data orchestration and data pipeline
                                                                +

                                                                COVID-19 Vaccination Status Information Requirement (US employees only):

                                                                +

                                                                Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                                                -

                                                                What will you do?

                                                                -
                                                                • -Insights and Analytics:
                                                                    -
                                                                  • Help advance a culture of timely data-driven decisions
                                                                  • -
                                                                  • Implement practical applications of analytical and statistical frameworks and methodologies to client and prospect data sets to study demographics, behaviors, and business outcomes
                                                                  • -
                                                                  • Use a variety of analytical methods (descriptive, diagnostic and predictive) such as time series analysis, segmentation, hypothesis testing and causal inference to surface actionable insights
                                                                  • -
                                                                  • Embed reliable and re-usable patterns and showcase them to drive forward the analytics brand of the Digital Intelligence Group both internally and across Digital teams at RBC
                                                                  • -
                                                                  -
                                                                +

                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                -
                                                                  -
                                                                • -Data Collection/Ingestions/Acquisition:
                                                                    -
                                                                  • Collaborate with data developers, DevOps, data engineers and cloud engineers to implement new data collection/ingestion/acquisition
                                                                  • -
                                                                  • Support business stakeholders in identifying needs for additional data acquisitions, and coordinate plans to orchestrate data acquisitions
                                                                  • -
                                                                  • Develop templates and systems for repeatable processes
                                                                  • -
                                                                  -
                                                                • -
                                                                • -Digital Product Reporting and Presentations:
                                                                    -
                                                                  • Define, communicate and enforce reporting and analytics standards, policies and data governance
                                                                  • -
                                                                  • Construct presentations in story format and deliver them to partners across the organization
                                                                  • -
                                                                  • Deliver clear, concise and timely reports identifying trends, issues and opportunities
                                                                  • -
                                                                  -
                                                                • -
                                                                • -Stakeholder Consultancy:
                                                                    -
                                                                  • Manage relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems
                                                                  • -
                                                                  • Digest complex problems and organize into achievable milestones
                                                                  • -
                                                                  • Apply expertise and think creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine
                                                                  • -
                                                                  -
                                                                • -
                                                                +

                                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                  -
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • A world-class training program in financial services
                                                                • -
                                                                • Flexible work/life balance options
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Opportunities to take on progressively greater accountabilities
                                                                • -
                                                                • Opportunities to building close relationships with clients
                                                                • -
                                                                • Access to a variety of job opportunities across business and geographies
                                                                • -
                                                                +

                                                                Accessibility

                                                                +

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                +

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                +

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-10-25-07:00

                                                                Application Deadline:

                                                                2023-01-31-08:00
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000032817/Senior-Manager-Data-Insight-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-21T15:36:56.020Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/178992935-senior-manager-data-insight-analytics-at-rbc,,expired,2022-12-19T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -12afe575-3e47-40d9-8ca8-883073e645a7,178993259,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-12-19T17:22:04.782Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169022

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                What you’ll be doing…

                                                                -

                                                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                                                -

                                                                -

                                                                Is this role right for you? In this role you will:

                                                                -
                                                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • -
                                                                -

                                                                -

                                                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                -
                                                                • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                • Strong knowledge of banking products and their data lifecycle
                                                                • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                • AML/ATF experience or analytic knowledge
                                                                • Data architecture experience in cloud infrastructure
                                                                • Bachelor's degree in business, finance, or engineering
                                                                • Strong experience with data modelling and data analysis
                                                                • Minimum of 3 years of relevant experience in AML/ATF
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
                                                                • Your career matters! You will have access to career development and progression opportunities.
                                                                • -
                                                                +

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                +
                                                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Software-Engineer---Full-Stack---Web-Dev_JREQ155310?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-08-25T13:37:01.844Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/142619249-senior-devops-engineer-ai-ml-at-thomson-reuters,,expired,2022-08-08T13:32:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +ad32f0a3-f842-4aad-b06b-78bf0be292f8,140448387,Deloitte,"Senior Consultant, AI & Analytics Academy, Omnia AI",on_site,"Ontario, Canada",2022-07-31T02:43:02.340Z,"

                                                                +

                                                                Job Type: Permanent
                                                                Reference code: 103941
                                                                Primary Location: Toronto, Ontario, Canada
                                                                All Available Locations: Toronto

                                                                +

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-21T15:58:26.957Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/178993259-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -10cd3887-a758-4480-929c-700a4a30a661,167454762,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-11-15T17:24:02.766Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                Our Purpose

                                                                +

                                                                +

                                                                At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                +

                                                                By living our Purpose, we will make an impact that matters.

                                                                +
                                                                • Be encouraged to deepen your technical skills…whatever those may be.
                                                                • Partner with clients to solve their most complex problems
                                                                • Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                                • +
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                -

                                                                We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

                                                                +
                                                                +
                                                                +

                                                                +

                                                                Are you passionate about solving complex analytical problems, learning about the latest in cutting-edge AI, developing and nurturing client relationships and leading project teams? If you answered yes, then we have an opportunity waiting for you!

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                -

                                                                About this Role

                                                                -

                                                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                                                -

                                                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                                                -

                                                                As a Data Scientist III, these are the essential qualifications of this role:

                                                                -
                                                                  -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • -
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • -
                                                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                                • -
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • -
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • -
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • -
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • -
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                  +

                                                                  What will your typical day look like?

                                                                  +
                                                                  +

                                                                  As a Senior Consultant in the AI Strategy team, you will work directly with the AI & Analytics Academy Lead to design and deliver customized learning and development programs to strengthen the AI, data and analytics literacy of executives and technical/ quantitative professionals from client organizations.

                                                                  +


                                                                  As an individual, you have a deep-rooted passion for improving education and understand that learning and development is an interdisciplinary pursuit. You draw insights from multiple fields of interest such as cognitive neuroscience, educational psychology, behavioral economics, and data science to improve upon and impact the everchanging landscape of clients worldwide.

                                                                  +


                                                                  Responsibilities:
                                                                  As a Senior Consultant, your role will comprise of activities related to the design and delivery of a number of our AI Academy offerings.
                                                                  • Design tailored AI and Advanced Analytics learning programs
                                                                  • Develop best in class data literacy programs for clients in different industries and with different levels of maturity
                                                                  • Design, deploy and analyze data literacy assessments using tools like Microsoft Excel, PowerPoint, Power BI, and Tableau
                                                                  • Recommend learning pathways for different learner personas
                                                                  • Build high quality content and design impactful learning experiences using client or industry data sets
                                                                  • Bring forth your technical skillsets (R, Python) or related technical aptitude to learn and teach others how to use the latest technologies Develop and/or refine frameworks and definitions that introduce the concepts and importance of data, AI and Advanced Analytics, what they can be used for (applications) and how they should be applied (best practices)
                                                                  • Customize existing Deloitte learning materials (frameworks, definitions, use cases etc.) based on client needs and context
                                                                  • Prioritize and help clients select relevant applications to demonstrate the value of data, AI and Advanced Analytics
                                                                  • Draft tailor case study write-ups to allow learning participants to apply the concepts from the program to a real business problem
                                                                  • Create interactive technology-enabled case study exercises that encourage participants to practice going from question to data, data to insights and insights to actions during the course of the program
                                                                  • Design pre and post program surveys to assess impact of learning programs
                                                                  Deliver tailored AI and Advanced Analytics learning materials
                                                                  • Coordinate all capabilities required to deliver on the program
                                                                  • Ensure a seamless delivery of learning programs by leveraging the following enablers

                                                                  +
                                                                  • Place: Conduct dry runs and walk through at the Greenhouse or Deloitte University to ensure high quality learning experience
                                                                  • People: Train and organize Client and Deloitte facilitators and co-facilitators to build a high-performing Faculty team
                                                                  -

                                                                  -

                                                                  Requirements

                                                                  -
                                                                  - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                    -
                                                                  • Undergraduate degree or technical certificate
                                                                  • -
                                                                  • Ten (10) or more years of relevant experience
                                                                  • -
                                                                  +
                                                                  +

                                                                  About the team

                                                                  +
                                                                  +

                                                                  Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                                                  +

                                                                  Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs ideally in the data, analytics or AI domains.

                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  Enough about us, let’s talk about you

                                                                  +
                                                                  +

                                                                  You are someone with:

                                                                  +

                                                                  • Minimum of five years’ work experience in the data, analytics, or AI domains
                                                                  • Completed Undergraduate Bachelor’s Degree in (Computer Science, Mathematics, Engineering, Education or closely related field of study )
                                                                  • Experience teaching adults in various formats such as in-person, online or blended environments
                                                                  • Exceptional senior stakeholder management skills
                                                                  • Superior written and verbal communication skills and sstrong attention to detail
                                                                  • Ability to develop and present new ideas and conceptualize new approaches and solutions
                                                                  • Strong organization skills: ability to prioritize work demands, and meet deadlines
                                                                  • Be comfortable working in an ambiguous environment with competing deadlines and rapidly evolving client needs and conditions
                                                                  • Commitment to quality, ethics and confidentiality

                                                                  +


                                                                  If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Manager, AI Strategy role is just the first step of a highly successful career we can help you build.
                                                                  The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  +

                                                                  Our promise to our people: Deloitte is where potential comes to life.

                                                                  +

                                                                  +

                                                                  Be yourself, and more.

                                                                  +

                                                                  We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                  +

                                                                  You shape how we make impact.

                                                                  +

                                                                  Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                  +

                                                                  Be the leader you want to be

                                                                  +

                                                                  Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                  +

                                                                  Have as many careers as you want.

                                                                  +

                                                                  We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                  The next step is yours

                                                                  +

                                                                  +

                                                                  At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                  +

                                                                  We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                                                                  +

                                                                  By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                  Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                  +

                                                                  ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-AI-&-Analytics-Academy%2C-Omnia-AI-ON/879083900/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-08-25T17:51:00.000Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/140448387-senior-consultant-ai-analytics-academy-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-Consultant%2C-AI-&-Analytics-Academy%2C-Omnia-AI-ON/879083900/,expired,2022-07-31T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +7db07494-300e-4423-9c70-2b1144336c9b,146264746,CIBC,"Director, Data Science, Digital Analytics and Integration",on_site,"Ontario, Canada",2022-08-25T10:46:25.200Z,"
                                                                  +

                                                                  We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                  -

                                                                  Hours

                                                                  -
                                                                  37.5
                                                                  -

                                                                  -

                                                                  Inclusiveness

                                                                  -

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-01T14:59:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/167454762-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7f37efaa-39fc-40ac-b5e7-601a479b4cd1,169479534,Shopify Inc.,Senior Data Scientist - Partnership Insights (Remote),full,"Ontario, Canada",2022-11-21T17:42:08.333Z,"

                                                                  About the role

                                                                  Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                                                  -

                                                                  Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                                  -

                                                                  The One Shopify and Executive Insights Team is responsible for three areas:

                                                                  -

                                                                  Strategic Analysis & Projects:

                                                                  -
                                                                  • Engaging in strategic projects and data investigations / deep dives to inform team strategies and investment plans (e.g., merchant segmentation & opportunity sizing; growth opportunities; roadmapping).
                                                                  -

                                                                  Performance Measurement & Operational Support:

                                                                  -
                                                                    -
                                                                  • Setting north star metrics, KPIs and targets for the team.
                                                                  • -
                                                                  • Building self-serve dashboards to support ongoing partner performance measurement for use both internally and externally.
                                                                  • -
                                                                  • Conducting deep dive performance analyses on pilots, product launches & GTM initiatives.
                                                                  • -
                                                                  • Supporting and engaging in Monthly and Quarterly Business Reviews, sharing data insights and performance.
                                                                  • -
                                                                  -

                                                                  Executive Insights:

                                                                  -
                                                                    -
                                                                  • Surfacing executive-level insights to inform executive briefs, investor relations & external facing reports.
                                                                  • -
                                                                  • In coordination with Partnerships & BizOps, building strong data narratives for executives that accurately reflect performance for our partners.
                                                                  • -
                                                                  ",,https://www.shopify.com/ca/careers/senior-data-scientist-partnership-insights-remote_2f6b2c34-1d50-44f7-b50b-6f7ccd6d2825,feed-importer@jobboard.io,,,,2022-12-01T14:56:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/169479534-senior-data-scientist-partnership-insights-remote-at-shopify-inc,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -e19952ec-cf2c-47b5-a070-db562b36f366,169479123,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2022-11-21T17:41:02.705Z,"
                                                                  -

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description:

                                                                  -

                                                                  -

                                                                  At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                  +

                                                                  At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                  -

                                                                  Role Summary:

                                                                  +

                                                                  To learn more about CIBC, please visit CIBC.com

                                                                  -

                                                                  The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                                                  -

                                                                  -

                                                                  Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                                                  +

                                                                  Job Description

                                                                  -

                                                                  What will you do?

                                                                  -
                                                                    -
                                                                  • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                                                  • -
                                                                  • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                                                  • -
                                                                  • Ensure high level of data quality and data integrity are maintained across data sources for business

                                                                  • -
                                                                  • Convert complex business and technical rules into logic for data flows and data pipelines

                                                                  • -
                                                                  • Work with our Data Science teams to implement data products for various use cases

                                                                  • -
                                                                  • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                                                  • -
                                                                  • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                                                  • -
                                                                  +

                                                                  What You’ll Be Doing

                                                                  -

                                                                  What do you need to succeed?

                                                                  -
                                                                    -
                                                                  • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL

                                                                  • -
                                                                  • 3 years experience in Pyspark and SQL

                                                                  • -
                                                                  • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                                                  • -
                                                                  • 3-5 years experience with engineering data products as input to various analytical models

                                                                  • -
                                                                  • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                                                  • -
                                                                  • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                                                  • -
                                                                  • Sound understanding of data modelling and a passion for analytics

                                                                  • -
                                                                  • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                                  • -
                                                                  • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                                  • -
                                                                  • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                                                  • -
                                                                  • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                                                  • -
                                                                  • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                                                  • -
                                                                  +

                                                                  Reporting to the Senior Director, Digital Analytics and Integration you will be a leader in the team responsible for implementing Analytics frameworks for Data Science initiatives such as personalization, customer journey analytics, propensity modeling and insights. You will be hands-on analyzing data, working with cross-functional teams, identifying relevant features and building a wide array of models to power and guide strategic initiatives. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. You’ll interact with groups across the organization from client facing to product, operational, risk and security. You will also lead communicating model recommendations and connecting the outputs to measurable business KPIs and targets.

                                                                  -

                                                                  Education and Qualifications:

                                                                  -
                                                                    -
                                                                  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                                                  • -
                                                                  • Graduate degree in business or quantitative science strongly preferred

                                                                  • -
                                                                  +

                                                                  At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                  -

                                                                  Unique Requirements

                                                                  -
                                                                    -
                                                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                  • -
                                                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  • -
                                                                  -

                                                                  -

                                                                  What would be nice to have?

                                                                  -
                                                                    -
                                                                  • Understand and Embrace Agile Operating Model

                                                                  • -
                                                                  • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                                                  • -
                                                                  • Experience working in a large financial services organization

                                                                  • -
                                                                  • Knowledge of fundamental statistical models & techniques

                                                                  • -
                                                                  +

                                                                  How You’ll Succeed

                                                                  -

                                                                  What\'s In It For You?

                                                                  -
                                                                    -
                                                                  • Great Place to Work® Certified in Canada and the US - 2022

                                                                  • -
                                                                  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                  • -
                                                                  • Named “Best Places to Work” by Glassdoor - 2021

                                                                  • -
                                                                  • Canada Award for Excellence for Mental Health at Work - 2021

                                                                  • -
                                                                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                                  • -
                                                                  • Competitive salary and bonus structure influenced by market range data

                                                                  • -
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                                  • -
                                                                  • A friendly, collaborative, and inclusive culture

                                                                  • -
                                                                  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                  • -
                                                                  • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                  • -
                                                                  +

                                                                  Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                  +

                                                                  Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

                                                                  +

                                                                  Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs.

                                                                  -

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  +

                                                                  Who You Are

                                                                  -

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  +

                                                                  You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, Pandas, Scikit-Learn, Keras, Matplotlib, PyTorch or SparkML. Must have experience on one or more cloud based platforms, preferably Azure.

                                                                  -

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  +

                                                                  You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.

                                                                  -

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  +

                                                                  You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

                                                                  -

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  +

                                                                  You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                                  -

                                                                  Salary Range:

                                                                  74,100/74 100 - 120,800/120 800

                                                                  -

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  -

                                                                  Posting End Date:

                                                                  30/11/2022
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Data-Engineer_JR00064435?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-12-01T14:57:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/169479123-senior-data-engineer-at-sun-life-financial,,expired,2022-11-21T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -bc4237f8-6e56-42b4-affe-2c98f29f48ec,171168826,EY,Data Scientist - Financial Crimes - Bilingual,on_site,Toronto,2022-11-26T17:37:03.884Z,"

                                                                  Data Scientist - Financial Crimes - Bilingual

                                                                  -
                                                                  Location: Toronto
                                                                  -
                                                                  Other locations: Anywhere in Country
                                                                  -
                                                                  Date: 28-Nov-2022
                                                                  -

                                                                  At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                  -

                                                                  -

                                                                  We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

                                                                  -

                                                                  -

                                                                  At EY, Data Scientist strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients’ biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

                                                                  -

                                                                  -

                                                                  The opportunity

                                                                  -

                                                                  -

                                                                  Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data and model predictive models. This provides better support for decision-making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

                                                                  -

                                                                  -

                                                                  The Financial Crime group provides innovative approaches that enable effective, documented and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

                                                                  -

                                                                  The Financial Crime group offers expertise and services across four core areas of competency:

                                                                  -
                                                                  • Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modeling, master data management, and data rationalisation and migration.
                                                                  • Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle.
                                                                  • Reporting design, architecture and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design and implementation.
                                                                  • -Analytics: covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
                                                                  • -
                                                                  -

                                                                  Your responsibilities

                                                                  -

                                                                  -

                                                                  As a Senior consultant in Data Science, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

                                                                  -

                                                                  Specifically, these responsibilities will be assigned to you:

                                                                  -
                                                                  • Analyze, manipulate, structure, validate and transform various data sources
                                                                  • Produce and document analyses of various data sources
                                                                  • Act as a consultant for the implementation of specialized internal data processing solutions
                                                                  • Act as a consultant for the configuration of various anti-money laundering and financial crime software
                                                                  • Develop filter optimization algorithms to enforce international sanctions
                                                                  • -Participate in client engagements and various internal projects
                                                                  • -
                                                                  -

                                                                  Skills & attributes for success

                                                                  -
                                                                  • Ability to communicate ideas clearly (spoken and written)
                                                                  • Ability to provide excellent client service and manage and build strong relationships both internally and externally
                                                                  • Ability to be self-sufficient within large companies (financial institutions, specifically)
                                                                  • Be versatile, rigorous and curious
                                                                  • Enjoy teamwork
                                                                  • -Have 5-10 years’ experience in data science role
                                                                  • -
                                                                  -

                                                                  To qualify for the role you must have:

                                                                  -
                                                                  • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering or a related field and approximately 3-5 years’ experience in related field. A Master’s degree is an asset.
                                                                  • Strong Machine Learning, Deep Learning, and statistics background.
                                                                  • Experience with large data sets using tools like SQL, Hadoop, Spark
                                                                  • Advanced Programming skills in R or Python, and experience using an object-orientated programming language, such as Java, or Scala (preferred).
                                                                  • Experience with model-development lifecycle, data preparation, modeling, and deployment
                                                                  • Data processing such as ETL (and ideally some exposure to tools such as Ab Initio, Informatica, etc.), parsing and handling data quality-related issues
                                                                  • Demonstrated strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software, and networks
                                                                  • Knowledge of French and English (bilingual)
                                                                  • -
                                                                  -

                                                                  -

                                                                  Ideally, you’ll also have:

                                                                  -
                                                                  • Consulting experience
                                                                  • Experience in other leading ETL packages (e.g. Informatica, DataStage)
                                                                  • Experience with cloud technologies (Microsoft Azure, Databricks, AWS, GCP)
                                                                  • Experience in Anti-money laundering/terrorist financing activities
                                                                  • Experience in Fraud
                                                                  • Experience in Risk Management
                                                                  • Experience in Business Intelligence
                                                                  • Experience in Solution Architecture
                                                                  • Experience in Cyber Security
                                                                  • -Experience in Business analysis/systems
                                                                  • -
                                                                  -

                                                                  What we look for

                                                                  -


                                                                  We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                                                                  -

                                                                  -

                                                                  What we offer

                                                                  We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                  -
                                                                  • The opportunity to manage a portfolio of talent within a designated service line
                                                                  • A collaborative environment where everyone works together to create a better working world
                                                                  • Excellent training and development prospects, both through established programs and on-the-job training
                                                                  • -An excellent team of senior colleagues, dedicated to managing and varying your workload
                                                                  • -
                                                                  -

                                                                  Diversity and Inclusion at EY

                                                                  -

                                                                  -

                                                                  Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                  -

                                                                  -

                                                                  EY | Building a better working world

                                                                  -

                                                                  -

                                                                  EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

                                                                  -

                                                                  -

                                                                  Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

                                                                  -

                                                                  -

                                                                  Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                  ",,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,feed-importer@jobboard.io,,,,2022-12-01T19:04:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/171168826-data-scientist-financial-crimes-bilingual-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,expired,2022-11-26T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -0b16812a-40f5-4beb-90b4-3421dd0c7a0e,164063817,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics ( 1 year contract )",on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.280Z,"

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Requisition ID: 166774

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  -

                                                                  -

                                                                  *** This is a 1 year contract ***

                                                                  -

                                                                  -

                                                                  Purpose

                                                                  -

                                                                  -

                                                                  As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                                                  -

                                                                  -

                                                                  Accountabilities

                                                                  -

                                                                  -

                                                                  •Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                                                  •Design highly efficient backend data mart to support frontend application
                                                                  •Develop python based web application to support AML requirements
                                                                  •Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                                                  •Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                                                  •Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                  -

                                                                  -

                                                                  Skills / Experience

                                                                  -

                                                                  -

                                                                  •Strong knowledge of python and SQL
                                                                  •Familiarity with development within Linux environment
                                                                  •Experieced in using python web application frameworks, like Dash, Flask, etc.
                                                                  •Strong knowledge of data lifecycle for customer, account, and transactional data
                                                                  •Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                                                  •Familiarity with JavaScript, CSS, and HTML preferred

                                                                  -

                                                                  -

                                                                  Education

                                                                  -

                                                                  -

                                                                  •Bachelor's degree in computer science, engineering, or related fields
                                                                  •AML knowledge or banking knowledge is an asset

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-05T14:51:00.000Z,False,0,11,45,https://talenthub.vectorinstitute.ai/jobs/164063817-data-engineer-data-management-aml-atf-models-and-analytics-1-year-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -ffe06fe2-8c7e-408c-a5fe-eb507753f16f,164063559,BMO Financial Group,"Audit Manager, Data Science",on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.821Z,"
                                                                  -

                                                                  Address:

                                                                  55 Bloor Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

                                                                  +

                                                                  You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                  -

                                                                  In this role you will apply your knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. You will use your strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups. You will drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                  +

                                                                  You have people management experience where you have led a team of individuals to come together and deliver results on time.

                                                                  -

                                                                  Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for

                                                                  +

                                                                  Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                  +

                                                                  What CIBC offers

                                                                  +

                                                                  At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                    -
                                                                  • Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
                                                                  • -
                                                                  • Automate analytics and author data pipelines via SQL and Python based ETL framework
                                                                  • -
                                                                  • Develop user interface for self-served analytics via Python and JavaScript based framework
                                                                  • -
                                                                  • Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
                                                                  • -
                                                                  • Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
                                                                  • -
                                                                  • Share and promote success stories relating to completed projects within audit
                                                                  • -
                                                                  • Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
                                                                  • -
                                                                  • Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
                                                                  • -
                                                                  • Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
                                                                  • -
                                                                  • Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise
                                                                  • +
                                                                  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                                                                  • +
                                                                  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                                                                  • +
                                                                  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                  -

                                                                  Qualifications:

                                                                  -
                                                                    -
                                                                  • Master’s degree or higher in a Quantitative or Technical field
                                                                  • -
                                                                  • Typically 5 - 7 years of experience
                                                                  • -
                                                                  • Solid understanding of statistical modeling and data science methods
                                                                  • -
                                                                  • Proficiency in SQL and Python
                                                                  • -
                                                                  • Experience with Unix/Linux shell
                                                                  • -
                                                                  • Experience working cross-functionally and communicating technical content to general audiences
                                                                  • -

                                                                  -

                                                                  Preferred Qualifications:

                                                                  +

                                                                  What you need to know

                                                                    -
                                                                  • Experience initiating and driving projects to completion with minimal guidance
                                                                  • -
                                                                  • Experience with web development
                                                                  • -
                                                                  • Experience with distributed computing and cloud services
                                                                  • -
                                                                  • Knowledge of SAS and R
                                                                  • -
                                                                  • Knowledge of agile methodology
                                                                  • +
                                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                  • +
                                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Audit-Manager--Data-Science_R220029093?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-12-05T14:51:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/164063559-audit-manager-data-science-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -2075e55c-7db5-46b3-bcd9-34c53ecbb3eb,168114353,Shopify Inc.,"Senior Data Scientist - Merchant Services (Remote, North America)",on_site,"Ontario, Canada",2022-11-17T17:42:11.102Z,"

                                                                  About the role

                                                                  Data science is a crucial part of Shopify’s mission to make commerce better for everyone. We’re the only team able to talk to all of our merchants; we represent their voice here at Shopify. not only when we build for them, but when we figure out what to build and how to build it. This principally includes two types of work: building products directly backed by data (e.g. machine learning models), and listening to their voice to figure out what to build and how to build it.

                                                                  -

                                                                  Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                                  -

                                                                  Team Specific Details:

                                                                  -

                                                                  Within Merchant Services, our job is to build superpowers that put small businesses on a level playing field with the largest e-commerce players.

                                                                  -

                                                                  As a Senior Data Scientist, you are expected to play a crucial role pushing forward product development. Senior Data Scientists do this by informing product strategy and execution, building a strong operating picture allowing us to move quickly, and/or improving underlying algorithms, heuristics and rules powering individual products. We expect a high degree of autonomy and proactivity.

                                                                  -

                                                                  Responsibilities:

                                                                  -
                                                                    -
                                                                  • Proactively identify and champion projects that solve critical problems for merchants

                                                                  • -
                                                                  • Partner closely with product, engineering and other business leaders to influence product and program decisions with data

                                                                  • -
                                                                  • Own the operating picture and use a strong analytical toolbox to highlight opportunities and guide execution

                                                                  • -
                                                                  • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

                                                                  • -
                                                                  • Influence leadership to drive more data-informed decisions

                                                                  • -
                                                                  • Define and advance best practices within data science and product teams

                                                                  • -

                                                                  Qualifications

                                                                    -
                                                                  • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems

                                                                  • -
                                                                  • Proficiency in SQL and experience with software engineering fundamentals

                                                                  • -
                                                                  • Experience with applied statistics and general quantitative problem-solving

                                                                  • -
                                                                  • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders

                                                                  • -
                                                                  • Curiosity about the problem domain and an analytical approach

                                                                  • -
                                                                  • Strong sense of ownership and growth mindset

                                                                  • -
                                                                  -

                                                                  -

                                                                  Experience with one or more:

                                                                  -
                                                                    -
                                                                  • Deep understanding of advanced SQL techniques

                                                                  • -
                                                                  • Expertise with statistical techniques and their applications in business

                                                                  • -
                                                                  • Masterful data storytelling and strategic thinking

                                                                  • -
                                                                  • Deep understanding of dimensional modelling and scaling ETL pipelines

                                                                  • -
                                                                  • Experience launching productionized machine learning models at scale

                                                                  • -
                                                                  • Extensive domain experience in e-commerce, marketing or SaaS

                                                                  • -
                                                                  All your information will be kept confidential according to EEO guidelines.

                                                                  Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                                  -

                                                                  At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                  ",,https://www.shopify.com/ca/careers/senior-data-scientist-merchant-services-remote-north-america_d546a99f-74cd-42a6-a4a5-22cbb2096510,feed-importer@jobboard.io,,,,2022-12-05T17:47:06.368Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/168114353-senior-data-scientist-merchant-services-remote-north-america-at-shopify-inc,,expired,2022-11-17T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -bd94e127-9df3-418c-9ccd-26ee7f1edd44,177791777,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-12-15T17:41:01.624Z,"
                                                                  -

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description:

                                                                  -

                                                                  -

                                                                  Role Summary

                                                                  -

                                                                  Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                                  -

                                                                  Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                  -

                                                                  Sun Life views success in this role in demonstration of these key attributes:

                                                                  -

                                                                  Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                  -

                                                                  What will you do?

                                                                  +

                                                                  +

                                                                  Job Location

                                                                  Toronto-81 Bay, 25th Floor

                                                                  Employment Type

                                                                  Regular

                                                                  +

                                                                  Weekly Hours

                                                                  37.5

                                                                  Skills

                                                                  +

                                                                  Advance Analytics, Advanced Analytics, Deep Analytics, Predictive Analytics
                                                                  ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Data-Science--Digital-Analytics-and-Integration_2226600,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-09-05T10:51:08.706Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/146264746-director-data-science-digital-analytics-and-integration-at-cibc,,expired,2022-08-25T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +7a690881-77c9-4dd6-a0b8-1474a0e45f92,146918041,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-08-30T01:56:05.434Z,"
                                                                  +
                                                                  +

                                                                  What\'s the opportunity?

                                                                  +

                                                                  As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                  +

                                                                  +

                                                                  Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                  +
                                                                  +
                                                                  +

                                                                  Your responsibilities include:

                                                                  +
                                                                    +
                                                                  • Developing novel AI solutions that facilitate impactful products;
                                                                  • +
                                                                  • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                  • +
                                                                  • Working with the development team to transfer research work into production;
                                                                  • +
                                                                  • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                  • +
                                                                  • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                  • +
                                                                  +
                                                                  +
                                                                  +

                                                                  You’re our ideal candidate if you have:

                                                                  +
                                                                    +
                                                                  • A passion for solving open problems using data and algorithms;
                                                                  • +
                                                                  • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                  • +
                                                                  • Ability to formulate and drive a research project independently without close supervision;
                                                                  • +
                                                                  • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                  • +
                                                                  +
                                                                  +
                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                    -
                                                                  • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                                                                  • -
                                                                  • Be able to work in cross functional teams to develop an ML/data science product

                                                                  • -
                                                                  • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                                                                  • -
                                                                  • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                                  • -
                                                                  • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                                  • -
                                                                  • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                                  • +
                                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                  • +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                  • +
                                                                  • Leaders who support your development through coaching and managing opportunities;
                                                                  • +
                                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                  +

                                                                  About Borealis AI

                                                                  +
                                                                  +
                                                                  +

                                                                  Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                  +

                                                                  +
                                                                  ",,https://www.borealisai.com/careers/?gh_jid=5409806002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-09-08T16:03:00.000Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/146918041-machine-learning-researcher-at-borealis-ai,,expired,2022-08-30T01:56:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +2b518b39-54f0-4070-80ae-310bd9e0253e,147915025,integrate.ai,Senior Software Engineer,full,Toronto or Remote (within 5 hours of ET),2022-09-02T05:07:05.352Z,"

                                                                  At integrate.ai, our mission is to accelerate the shift to Machine Learning in a way that maximizes participation and benefit to people while maintaining trust. We recently released an end-to-end federated learning platform that enables data scientists to train machine learning models across distributed data silos, while seamlessly managing privacy, security, and regulatory risks. Our vision is to unlock new collaboration opportunities in industries such as healthcare and finance, to help more people with their critical needs and close the health, wealth, and wellness gaps.

                                                                  +

                                                                  We are looking for an incredible Senior Software Engineer who is passionate about taking AI to the next level and is interested in being part of our core development team. As a Software Engineer, you will play a key role in the development of impactful features for our SaaS platform, from novel user interfaces powered by sophisticated back-end services to large scale data processing and AI training pipelines. Knowledge of machine learning techniques is not required to apply as we have a great team of experts in this area, but the role provides plenty of opportunities to develop your machine learning engineering skills should you be interested. This role will report to one of our Software Engineering Managers.

                                                                  +

                                                                  Most importantly, you will be surrounded by some of the most talented minds in the AI industry. Seriously, please check us out on LinkedIn!

                                                                  +

                                                                  +

                                                                  What you will be doing:

                                                                    -
                                                                  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                                  • -
                                                                  • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                                  • -
                                                                  • Champion and support diversity and inclusion

                                                                  • +
                                                                  • Making high-impact decisions that other developers will live with in the future: you design, develop, and deploy cutting edge technology
                                                                  • +
                                                                  • Building impactful services and features in a way that you can be proud of
                                                                  • +
                                                                  • Operating services at scale and with world class reliability
                                                                  • +
                                                                  • Extending and improving your services to drive better outcomes for people
                                                                  • +
                                                                  • Contributing to the growth and development of your colleagues and the company
                                                                  • +
                                                                  • Collaborating with Product Management to define services and features, and to realistically plan and estimate their complexity
                                                                  • +
                                                                  • Building client facing and internal web applications
                                                                  • +
                                                                  • Working with Data Scientists to create robust machine learning applications
                                                                  • +
                                                                  • Be responsible for designing and implementing features for several large projects
                                                                  • +
                                                                  • Participating in infrastructure development and operations
                                                                  • +
                                                                  • Managing existing codebase and developing new products for customers
                                                                  • +
                                                                  • Implementing integration with existing customer systems and providing support and documentation
                                                                  • +
                                                                  • Participating in agile project planning and estimation
                                                                  • +
                                                                  • Providing on-demand developer support directly to clients and their partners
                                                                  -

                                                                  -

                                                                  What will you need to succeed?

                                                                  +

                                                                  We Value:

                                                                    -
                                                                  • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                                  • -
                                                                  • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                                  • -
                                                                  • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                                  • -
                                                                  • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                                  • -
                                                                  • Experience with AWS services including SageMaker

                                                                  • -
                                                                  • Experience with machine learning including supervised and unsupervised models

                                                                  • -
                                                                  • Demonstrated experience in data transformation & data manipulation

                                                                  • -
                                                                  • Experience working with Structured vs. Unstructured data

                                                                  • -
                                                                  • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                                                  • -
                                                                  • Effective and concise oral and written storytelling and insights communication skills

                                                                  • -
                                                                  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                                  • -
                                                                  • Ability to document work and effectively prioritize documentation

                                                                  • -
                                                                  • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                                                  • +
                                                                  • Extensive years experience writing great code in any language! We’re a python and react shop, but we appreciate the expertise you can bring in any language.
                                                                  • +
                                                                  • Superior understanding of computer science fundamentals
                                                                  • +
                                                                  • Developing large scale, distributed, web-based services and feeling both the pleasure and burden of operating these services
                                                                  • +
                                                                  • Experience defining well structured APIs, understanding the client facing nuances of API design.
                                                                  • +
                                                                  • Experience with relational databases and SQL.
                                                                  • +
                                                                  • Experience with deployment of services using infrastructure as code such as Terraform, SaltStack, or similar products.
                                                                  • +
                                                                  • Experience in using/developing monitoring tools to provide great operational feedback.
                                                                  • +
                                                                  • Familiar with systems design and architecture of multiple complex software features, able to describe, debug and maintain such features.
                                                                  • +
                                                                  • Nice to have: Machine Learning Operations (MLOps) and/or Data Engineering experience.
                                                                  • +
                                                                  • Working in an agile environment
                                                                  • +
                                                                  • Experience with AWS/GCP infrastructure is a plus
                                                                  • +
                                                                  • Great desire and willingness to learn
                                                                  • +
                                                                  • Contributions to the mentorship, growth and success of your teammates
                                                                  +

                                                                  +

                                                                  The diverse experiences, ideas, and identities of integrate.ai’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives. We are committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and growth.

                                                                  +

                                                                  We are naturally curious and have strong attention to detail. We love working in a team environment where trust is key and we all strive to make an impact every day. If this sounds like the right fit, please apply and come work with us.

                                                                  ",,https://boards.greenhouse.io/integrateai/jobs/6025328002,feed-importer@jobboard.io,,,,2022-09-09T05:12:06.931Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/147915025-senior-software-engineer-at-integrate-ai,https://boards.greenhouse.io/integrateai/jobs/6025328002,expired,2022-09-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Software,Senior Level,Bachelors Degree,New Posting, +a07a1115-fc2c-4cec-9c15-e8aa6e303fba,147649533,RBC,"Director, IA Analytics Ecosystem",on_site,"Toronto, ON, Canada",2022-09-01T12:53:01.546Z,"
                                                                  +

                                                                  Come Work with Us!

                                                                  At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                  Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                  +

                                                                  Job Title

                                                                  Director, IA Analytics Ecosystem

                                                                  -

                                                                  What will be nice to have?

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  What is the opportunity?

                                                                  +

                                                                  As Director, IA Analytic Ecosystem, you will be accountable for the development of data products and services that span across all platforms in Internal Audit. The role creates new and innovative ways to leverage data across all of RBC’s businesses for new opportunities. The role defines, supports and informs business strategies through the breakdown, analysis and understanding of vast amounts of data, both internal and external to RBC. Provides engagement and leadership to a development team so they can deliver big data solutions for critical applications and regulatory requirements. Interacts with senior leaders to ensure that business value is being generated from the set of enterprise data services that the director is responsible for.

                                                                  +


                                                                  The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                    -
                                                                  • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                                  • -
                                                                  • Past experience working in Agile delivery model

                                                                  • -
                                                                  • Past experience in developing and deploying production grade model in cloud infrastructure

                                                                  • +
                                                                  • Strong Collaboration and Stakeholder management. Partner with Internal Audit Product Owners and Data Leads to understand business objectives and technology requirements in order to lead, support and recommend solutions that add business value, both current and future
                                                                  • +
                                                                  • Lead and execute Proof of Concept (POC) for new technologies and present feedback, recommendation and/or final decisions
                                                                  • +
                                                                  • Lead and evolve Audit Data Domain custodianship through automation for data catalogue, data lineage and data quality integration with CDO data governance platform
                                                                  • +
                                                                  • Lead the upkeep and maintenance of the Ecosystem infrastructure, analytics process and ensuring technology currency
                                                                  • +
                                                                  • Develop new and evolve current analytics capabilities and standards to ensure efficiencies and effectiveness in IA data management and analytics practice.
                                                                  • +
                                                                  • Lead and actively pursue innovation and ideation. Present opportunities and proposed architecture to senior leadership and lead the build out of those opportunities.
                                                                  • +
                                                                  • Lead and actively pursue automation opportunities to drive Audit efficiencies
                                                                  • +
                                                                  • Demonstrate leadership presence: Establish credibility by demonstrating subject matter expertise and knowledge in process excellence, be confident, authentic and effective, respect diversity and coach others, connect and engage stakeholders, build rapport, build strong relationships subject matter experts

                                                                  -

                                                                  Unique Requirements

                                                                  -

                                                                  -

                                                                  The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  -

                                                                  -

                                                                  What\'s in it for you?

                                                                  +

                                                                  What do you need to succeed?

                                                                  +

                                                                  Must-have

                                                                    -
                                                                  • Remote/ Hybrid Work environment

                                                                  • -
                                                                  • Competitive salary and bonus structure influenced by market range data

                                                                  • -
                                                                  • 20 days vacation per year and an innovative sabbatical program

                                                                  • -
                                                                  • A friendly, collaborative and inclusive culture

                                                                  • -
                                                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                  • -
                                                                  • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                  • -
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                                  • -
                                                                  • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                  • +
                                                                  • Undergraduate degree (e.g. B.Com., B. Math, P. Eng., MSc (Data Science)
                                                                  • +
                                                                  • Extensive experience in a big data environment with a focus on end to end medium/large project development
                                                                  • +
                                                                  • Exceptional development expertise using Python/APIs/JS/HTML/DAO
                                                                  • +
                                                                  • Exceptional knowledge of Database technologies SQL. Hadoop and Data Engineering tools e.g. Dataiku, Data stage and Data Visualization tools e.g. Tableau
                                                                  • +
                                                                  • Strong knowledge for creation of automated unit tests, integration, end-to-end testing and DevOps practices (E.g. CI/CD).
                                                                  • +
                                                                  • Undergraduate STEM degree (e.g. B.Sc, P. Eng.)

                                                                  -

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  +

                                                                  Nice-to-have

                                                                  +
                                                                    +
                                                                  • Post-Graduate coursework e.g., (MSc in Data Science)
                                                                  • +
                                                                  • Functional knowledge of Predictive Analytics and Statistical Modelling (using R and/or Python)
                                                                  • +
                                                                  • A good sense of UX/UI design and visualization for translating business user stories to working prototypes with HTML5/CSS,Plot.ly ,D3 JavaScript libraries
                                                                  • +

                                                                  -

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  -

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  +

                                                                  What’s in it for you? This is standard

                                                                  +

                                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  +
                                                                    +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                  • +
                                                                  • Leaders who support your development through coaching and managing opportunities
                                                                  • +
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                  • +
                                                                  • Opportunities to do challenging work and make lasting through Business value generation
                                                                  • +

                                                                  -

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  -

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  -

                                                                  Salary Range:

                                                                  80,000/80 000 - 130,400/130 400

                                                                  -

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  -

                                                                  Posting End Date:

                                                                  15/01/2023
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00073206-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-14T20:41:46.116Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/177791777-senior-data-scientist-at-sun-life-financial,,expired,2022-12-15T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d54cd684-b80e-4d00-af8d-7886a742f200,183865713,Scotiabank,"Manager, Enterprise Growth Marketing & Strategy - Personalization",on_site,Canada : Ontario : Toronto,2023-01-05T17:22:04.330Z,"

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Requisition ID: 167276

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  -

                                                                  As a Manager, Enterprise Growth Marketing & Strategy - Personalization, you will collaborate with Product Marketing, Analytics, Paid Media and Journey Management teams to identify data-driven insights and help define marketing audience strategies. You will own audience development, strategy, execution and measurement from end-to-end to enable a customer-centric journey. Also, you will play a key role in delivering against marketing KPIs.

                                                                  Responsibilities

                                                                  • Provide thought leadership and strategy on the use of audience data and insights
                                                                  • Work with stakeholders across multiple business lines to determine opportunities for personalization strategies across acquisition, engagement and retargeting to impact overall companies performance
                                                                  • Provide support for audience creation and activation on media platforms for various campaigns
                                                                  • You will possess strong analytic skills, problem solving skills combined with deep technical knowledge with advertising platforms
                                                                  • Collaborate with Paid Media team to create and deliver results-driven online advertising campaigns as part of overall digital marketing strategy
                                                                  • Collaborate with data analytics partners to identify data opportunities for segmentation, data modeling and reporting
                                                                  • Support and plan roadmaps to prepare business lines for cookie deprecation
                                                                  • Bring in new ideas around segmentation leveraging data internally and through data partnerships
                                                                  • Be proactive in audience creation and optimization initiatives
                                                                  • Experience delivering complex technical content to large groups
                                                                  • Experience in creating compelling data-driven presentations

                                                                  Qualification

                                                                  • 5 years of experience leading audience strategy
                                                                  • Experience using Adobe Audience Manager or any other DMPs
                                                                  • Strong knowledge of digital landscape, digital marketing strategies and tactics
                                                                  • Experience working with media buying digital platforms i.e. DV360, Meta, Pinterest and Amazon as a few
                                                                  • Strong knowledge in analytics platform and audience insights platform i.e. Adobe Analytics, Google Analytics, Environics, Google Trends
                                                                  • Have knowledge around CRM data and behavioural data attributes (1st, 2nd and 3rd party)
                                                                  • Experience activating audience segments across advertising platforms
                                                                  • Team player and quick learner
                                                                  • Experience in communicating strategy and briefs to multiple stakeholders
                                                                  • Strong written and oral communication skills

                                                                  Nice to Have
                                                                  • Experience working with Customer Data Platform
                                                                  • Ability to work with raw data using R, Python or SQL
                                                                  • Experience working with Google Cloud platform

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:42:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/183865713-manager-enterprise-growth-marketing-strategy-personalization-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,expired,2023-01-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a6c6d19b-a08e-4791-8ab3-b180ccedf644,183865770,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-01-05T17:24:03.340Z,"
                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  Address:

                                                                  TORONTO, Ontario, Canada

                                                                  City:

                                                                  CAN-ON-TORONTO

                                                                  Country:

                                                                  Canada

                                                                  Work hours/week:

                                                                  37.5

                                                                  Employment Type:

                                                                  Full time

                                                                  Platform:

                                                                  Internal Audit

                                                                  Job Type:

                                                                  Regular

                                                                  Pay Type:

                                                                  Salaried

                                                                  Posted Date:

                                                                  2022-07-28-07:00

                                                                  Application Deadline:

                                                                  2022-09-12-07:00
                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                  ​​​​​​​
                                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                  +
                                                                  +

                                                                  Join our Talent Community

                                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                  +
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000023046/Director-IA-Analytics-Ecosystem,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-09-12T12:58:02.672Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/147649533-director-ia-analytics-ecosystem-at-rbc,,expired,2022-09-01T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +82818e57-a43c-4078-8b43-880a50c23a53,147842970,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2022-09-02T01:51:16.441Z,"

                                                                  Company Overview

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  @@ -47772,896 +47351,1028 @@ a6c6d19b-a08e-4791-8ab3-b180ccedf644,183865770,TD Bank Group,Data Scientist I,on

                                                                  Department Overview

                                                                  -

                                                                  We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                  +

                                                                  Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                  Job Description

                                                                  About this Role

                                                                  -

                                                                  As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                  -

                                                                  Must-Have

                                                                  -
                                                                    -
                                                                  • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                  • -
                                                                  • Experience with building and scaling data-intensive software in Python
                                                                  • -
                                                                  • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                  • -
                                                                  • Experience building and manage a machine learning data pipeline
                                                                  • -
                                                                  • You value good software design and sweat over details in code and API design
                                                                  • -
                                                                  • You enjoy learning new technology and educating others
                                                                  • -
                                                                  • You strive to communicate clearly and with empathy
                                                                  • -
                                                                  • You take great personal pride in building robust and scalable software
                                                                  • -
                                                                  • You are highly accountable and have a strong sense of ownership
                                                                  • -
                                                                  • Ability to do detailed code reviews and give thoughtful feedback
                                                                  • -
                                                                  -

                                                                  Nice to have:

                                                                  +

                                                                  Are you an experienced data steward and data analysis expert? If so, this role offers a hands-on opportunity to execute on line of business data strategy, working in alignment with Bank-wide data standards and policy. This is an expert professional role requiring in-depth knowledge in your field of specialty and working knowledge of broader related areas. You may be appointed Data Steward for your line of business.

                                                                  +

                                                                  As a Data Steward I, you will:

                                                                    -
                                                                  • Experience building a library or a framework
                                                                  • -
                                                                  • Knowledge of machine learning algorithms
                                                                  • -
                                                                  • Experience with Azure cloud stack
                                                                  • -
                                                                  • Data analytics
                                                                  • -
                                                                  • Knowledge with C++
                                                                  • -
                                                                  • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                  • +
                                                                  • Identify and monitor the quality of critical data elements
                                                                  • +
                                                                  • Complete metadata and data quality tasks
                                                                  • +
                                                                  • Partner with technology and architecture colleagues and contacts to drive effective data related activities for LOB
                                                                  • +
                                                                  • Participate in cross-functional/enterprise initiatives by conducting research and analysis related to data changes and issues
                                                                  • +
                                                                  • Understand, remediate and implement changes in various forums on behalf of LOB
                                                                  • +
                                                                  • Provide specialized data governance / management advice and support to teams, management, leadership
                                                                  • +
                                                                  • Understand trends, identify issues and opportunities and recommend action to management
                                                                  • +
                                                                  • Manage data work activities requiring coordination across multiple areas
                                                                  • +
                                                                  • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                  • +
                                                                  • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB

                                                                  Requirements

                                                                  -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                    -
                                                                  • University or post-graduate degree
                                                                  • -
                                                                  • Strong academic background (e.g., computer science, engineering)
                                                                  • -
                                                                  • 2+ years relevant experience
                                                                  • +
                                                                  • Undergraduate degree or technical certificate
                                                                  • +
                                                                  • Five (5) or more years relevant experience
                                                                  • +
                                                                  • Skill in using software tools, applications, data analysis methods
                                                                  • +
                                                                  • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions

                                                                  -

                                                                  Additional Information

                                                                  -
                                                                  -#LI-Hybrid #datascientist
                                                                  -

                                                                  Hours

                                                                  37.5

                                                                  Inclusiveness

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:45:00.000Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/183865770-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -84588dae-1319-41c8-8fe4-692913414a7a,181831458,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Markham, ON",2022-12-29T17:24:02.649Z,"
                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-12T20:00:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/147842970-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15981832/data-steward-i-toronto-ca/,expired,2022-09-02T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8117d3ef-37ad-4ff5-99bd-f5f893624b48,149267185,Sun Life Financial,Lead Data Engineer,on_site,"Ontario, Canada",2022-09-08T07:26:01.664Z,"
                                                                  +

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Description:

                                                                  +

                                                                  +

                                                                  We are looking for an experienced and high-performing individual to join our Data and Analytics Delivery team as a Lead Data Engineer. This senior technical leadership role is responsible for the design, build, deployment, and support of data integration for BI reporting and analytic solutions, and application integration solutions using Informatica Intelligent Cloud Services (IICS), Python, AWS Glue and supporting tools and services. The Delivery team is involved in exciting projects using leading-edge technologies and leveraging our AWS Cloud based data platform for advanced analytics and data science.

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                  +
                                                                    +
                                                                  • Provide leadership on the construction and maintenance of robust and efficient data applications and reusable frameworks
                                                                  • +
                                                                  • Responsible for coordinating or participating in all aspects of the development cycle from design and development to release planning and implementation of data systems.
                                                                  • +
                                                                  • Mentor and guide other data developers across various locations to ensure all code follows applicable standards and is efficient and easily maintainable
                                                                  • +
                                                                  • Translate requirements into detailed functional and technical design using architecturally approved technology
                                                                  • +
                                                                  • Provide high level solution options and estimates for project proposals, and detailed work estimates in support of assigned work
                                                                  • +
                                                                  • Deliver solutions according to Systems Development Life Cycle (SDLC) methodology for either waterfall or agile projects
                                                                  • +
                                                                  • Provide consultation for the evaluation of data and software systems.
                                                                  • +
                                                                  • Develop and manage effective working relationships with other departments, groups or personnel with whom work must be coordinated.
                                                                  • +
                                                                  +

                                                                  +

                                                                  What do you need to succeed?

                                                                  +
                                                                    +
                                                                  • Minimum 7-10 years of experience in developing solutions for data warehouse loads and system integrations using ETL tools and demonstrated experience using IICS
                                                                  • +
                                                                  • Experience designing and building development framework for IICS
                                                                  • +
                                                                  • Minimum 3 years of experience with Big Data including knowledge of Hive
                                                                  • +
                                                                  • Essential to have demonstrated strong core competency in SQL
                                                                  • +
                                                                  • Experience with creating complex data frames/structures in Hadoop for data integration and complex calculations
                                                                  • +
                                                                  • Specialized in full end-to-end data solutions, from data assessment needs to data structure building, to data modelling, and data visualizations
                                                                  • +
                                                                  • Excellent collaboration and leadership skills and proven ability to adapt to challenges, coaching and mentoring
                                                                  • +
                                                                  • Ability to work in a global multi-site environment and working in a matrix environment, onshore/offshore IT mode
                                                                  • +
                                                                  • Ability to lead a team of diverse skill sets and interface with peripheral technical teams
                                                                  • +
                                                                  +

                                                                  +

                                                                  Preferred Skills

                                                                  +
                                                                    +
                                                                  • Experience with production implementation change management processes
                                                                  • +
                                                                  • Experience with project management and software development life cycle/SDLC; Agile and Lean (5+ years)
                                                                  • +
                                                                  • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting (5+ years)
                                                                  • +
                                                                  • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities
                                                                  • +
                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                    +
                                                                  • A flexible work schedule, so long as it includes core working hours
                                                                  • +
                                                                  • Competitive salary
                                                                  • +
                                                                  • Being part of our journey in developing the next greatest digital experience
                                                                  • +
                                                                  • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                                  • +
                                                                  • Wellness programs that support the three pillars of your health – mental, physical and financial.
                                                                  • +
                                                                  • Membership in a highly collaborative, supportive, and productive team
                                                                  • +
                                                                  • An extensive support system for continual learning including company-run courses and access to online learning platforms
                                                                  • +
                                                                  +

                                                                  +

                                                                  * Candidates must be eligible for Reliability Status Clearance which requires that they have lived and worked in Canada for the previous 5 consecutive years. No exceptions, please.

                                                                  +

                                                                  +

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  +

                                                                  +

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  +

                                                                  +

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  +

                                                                  +

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  +

                                                                  +

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  +

                                                                  +

                                                                  Salary Range:

                                                                  74,900/74 900 - 125,900/125 900

                                                                  +

                                                                  Job Category:

                                                                  IT - Technology Services

                                                                  +

                                                                  Posting End Date:

                                                                  25/09/2022
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/North-York-Ontario/Lead-Data-Engineer_JR00062778-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-09-26T18:34:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/149267185-lead-data-engineer-at-sun-life-financial,,expired,2022-09-08T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +ccde5543-bcce-4fdd-b0bd-f798e429d7df,149429484,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-09-09T01:51:16.607Z,"

                                                                  Company Overview

                                                                  -

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  -

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  +

                                                                  All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                  +

                                                                  Why TD?

                                                                  +

                                                                  TD’s Colleague Promise: A better you. A better us.

                                                                  +

                                                                  A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                  Department Overview

                                                                  -

                                                                  Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                                                  -

                                                                  We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                                                  -

                                                                  If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                                                  +

                                                                  Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                                                  will work with experienced colleagues, receive world class training, and be part of a community of students across
                                                                  TD, where you will have an impact, grow as individual and experience our culture of care.
                                                                  Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                                                  understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                                                  program is designed to complement your on-the job experience and features:

                                                                  +
                                                                    +
                                                                  • Leadership talks with key Leaders from across the organization
                                                                  • +
                                                                  • Lunch and Learns on topics such as Innovation
                                                                  • +
                                                                  • Diversity and Inclusion and Personal Branding and so much more
                                                                  • +

                                                                  Job Description

                                                                  -

                                                                  Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                                                  -

                                                                  Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                                                  -

                                                                  As a Senior Business Information Management Analyst, you will:

                                                                  +

                                                                  You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                                                  on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                                                  vary by area. They may include, but are not limited to the following:

                                                                    -
                                                                  • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas
                                                                  • -
                                                                  • Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs
                                                                  • -
                                                                  • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                                                  • -
                                                                  • Develop business requirements; design and implement complex business data information management frameworks
                                                                  • -
                                                                  • Apply automation and innovation on data platforms and on new development projects / initiatives
                                                                  • -
                                                                  • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                                                  • -
                                                                  • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                                                                  • -
                                                                  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                                                  • +
                                                                  • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                  • +
                                                                  • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                  • +
                                                                  • Design, develop and deploy system enhancements
                                                                  • +
                                                                  • Perform Unit and System Integration tests
                                                                  • +
                                                                  • Document system deployment plans for system implementation and code deployment
                                                                  • +
                                                                  • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                  • +
                                                                  • Provide recommendations with full usability analysis
                                                                  • +
                                                                  • Perform root-cause analysis and resolution of application defects
                                                                  • +
                                                                  • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

                                                                  Requirements

                                                                  -
                                                                  -

                                                                  What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                    -
                                                                  • Undergraduate degree or technical certificate
                                                                  • -
                                                                  • Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                                                  • -
                                                                  • Sound conceptual knowledge in your area of specialty
                                                                  • -
                                                                  • Fluent in one or two programming languages
                                                                  • -
                                                                  • Advanced analytical and problem-solving skills
                                                                  • -
                                                                  • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                                                  • -
                                                                  • In-depth knowledge of competitor and market trends
                                                                  • -
                                                                  • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                                                  • -
                                                                  • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                                                  • -
                                                                  • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                                                  • -
                                                                  • Act as a brand champion for our business area / function and TD, both internally and externally
                                                                  • +
                                                                      +
                                                                    • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                    • +
                                                                    • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                    • +
                                                                    • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                    • +
                                                                    • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                    • +
                                                                    • Familiarity with source code management such as GIT
                                                                    • +
                                                                    • Familiarity with Jira and Confluence
                                                                    • +
                                                                    • A thirst for constantly exploring emerging technology
                                                                    • +
                                                                    • Skills that would be an asset, but not required
                                                                        +
                                                                      • Familiarity with RDBMS, Big data
                                                                      • +
                                                                      • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                      • +
                                                                      • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                      • +
                                                                      • Interest or aptitude in Financial Systems and the Financial Industry
                                                                      • +
                                                                      • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                      -
                                                                    + +

                                                                  Additional Information

                                                                  -#LI-Hybrid #dataengineer
                                                                  +

                                                                  Please note that this is a general posting. If you are selected for an interview, more information regarding
                                                                  which business group and the specific job duties will be provided.

                                                                  +

                                                                  Early Talent Requirements

                                                                  +
                                                                    +
                                                                  • This position is a 4-month work term and will commence January 3rd – April 28th, 2023.
                                                                  • +
                                                                  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                  • +
                                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                  • +
                                                                  • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                  • +
                                                                  +

                                                                  Assigned Line of Business Requirements
                                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                  +

                                                                  Hours

                                                                  37.5

                                                                  +

                                                                  Start Date

                                                                  +
                                                                  – Winter
                                                                  +

                                                                  Inclusiveness

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -
                                                                ",,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-18T17:29:06.466Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831458-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5ba101ec-ee95-49e1-8d7b-6418c9af2738,183877268,Unity Health Toronto,Data Engineer ,on_site,"Toronto, ON, Canada",2023-01-05T18:37:55.982Z,"

                                                                NOTE: Position is hybrid: 1-2 days in office, the rest of week days remote

                                                                -

                                                                Unity Health Toronto, comprised of Providence Healthcare, St. Joseph’s Health Centre and St. Michael’s Hospital, works to advance the health of everyone in our urban communities and beyond. Our health network serves patients, residents and clients across the full spectrum of care, spanning primary care, secondary community care, tertiary and quaternary care services to post-acute through rehabilitation, palliative care and long-term care, while investing in world-class research and education. Join our team in our mission to continue to put patients and families at the centre of everything we do, in the role of Data Engineer Data Science & Advanced Analytics.

                                                                -

                                                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is an advanced healthcare data analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate data-driven insights so clinicians and management can make better decisions, increase hospital efficiency, and improve patient care.

                                                                -

                                                                The role of the data engineer is to extract, transform and load data from source systems (EHRs, administrative databases, registries, etc) into repositories or pipelines so that the data can be used for analytics (reporting, business intelligence, statistical modeling, machine learning, etc). The scope of this role is end-to-end, such that it includes all activities from requirements gathering and database analysis, to pipeline design and programming, to ongoing QA and maintenance of data pipelines and target data systems.

                                                                -

                                                                Duties and Responsibilities

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16633461/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-26T18:53:00.000Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/149429484-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16633461/data-engineer-intern-co-op-toronto-ca/,expired,2022-09-09T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,,New Posting, +436a4374-8e88-4f34-840b-05400c0f9c9e,151296958,TELUS,Machine Learning Engineer,on_site,"Ontario, Canada",2022-09-16T07:35:04.611Z,"
                                                                +
                                                                +

                                                                +
                                                                +

                                                                Our team and what we’ll accomplish together

                                                                +

                                                                +

                                                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                                                +

                                                                  -
                                                                • Engages with stakeholders and data scientists to understand their analytic/research/business needs, and work collaboratively with them to develop and validate concrete business requirements for data pipeline design
                                                                • -
                                                                • Documents business requirements as required
                                                                • -
                                                                • Carries out analysis of source system databases to discover the structure, flows, functions, and interdependencies of data within the system using custom written SQL scripts or an enterprise tool (eg. Data Virtuality Studio).
                                                                • -
                                                                • Documents findings and presents to the stakeholders and data scientists.
                                                                • -
                                                                • Based on requirements and analysis findings, conducts detailed interviews with subject matter experts and data scientists to inform the design of a logical pipeline model
                                                                • -
                                                                • Documents data pipeline model using mock-up or partial outputs as appropriate, and validates with stakeholders and data scientists
                                                                • -
                                                                • Constructs and automates the data pipeline from validated model
                                                                • -
                                                                • For data streams, utilizes HL7/FIHR or other appropriate messaging standard to create a messaging stream, listener and queuing solutions
                                                                • -
                                                                • Designs and implements robust error and exception handling procedures
                                                                • -
                                                                • Documents data pipeline architecture
                                                                • -
                                                                • Routinely monitors system logs/alerts for error and exception detection
                                                                • -
                                                                • Manually runs jobs/restarts pipelines when automation fails
                                                                • -
                                                                • Maintains an ongoing quality assurance to correct for data drift
                                                                • -
                                                                • Collaborates with IT Security team to monitor and protect pipelines against data leakage
                                                                • -
                                                                • Patches/updates data pipeline software, scripting tools, etc as needed
                                                                • -
                                                                • Routinely monitors data pipeline health and optimizes code when necessary
                                                                • -
                                                                • Is responsible for ongoing cultivation of new skills and knowledge in their area
                                                                • -
                                                                • Stays abreast of industry trends and best practices, via webinars, blogs, conferences, etc.
                                                                • -
                                                                • Curates and shares this knowledge with the rest of the Data Integration and Governance team to ensure the team remains at the cutting edge of digital health
                                                                • +
                                                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects.
                                                                • +
                                                                • We have flexible work styles with the ability to work in and out of the office.
                                                                • +
                                                                • You will work in a team that actively supports your personal development with progressive training and development tools.
                                                                -

                                                                QUALIFICATIONS

                                                                +


                                                                What you’ll do

                                                                +

                                                                  -
                                                                • Completion of a relevant Information Technology Bachelor’s Degree program in related field, or recognized equivalent combination of work experience and education required
                                                                • -
                                                                • Extensive knowledge in the design and development of data pipelines required;
                                                                • -
                                                                • Mastery of SQL as well as at least one of either R or Python required;
                                                                • -
                                                                • Working knowledge of different database systems (MS SQL Server, Oracle, Netezza etc) preferred;
                                                                • -
                                                                • Experience designing and running testing scenarios required;
                                                                • -
                                                                • Strong interpersonal skills required;
                                                                • -
                                                                • Familiarity with cloud architecture (AWS, Azure, GCP, etc.) preferred;
                                                                • -
                                                                • Working knowledge of Kafka, Storm, Spark and similar distributed computational tools preferred;
                                                                • -
                                                                • Knowledge on Linux commands and Shell scripts required;
                                                                • -
                                                                • Good knowledge of data warehouse concepts and experience with BI/DW concepts e.g., facts, dimension, star/snowflake schema structures, 3NF modeling, etc., required;
                                                                • -
                                                                • Strong working knowledge of Microsoft Office products, e.g., Excel, PowerPoint, Word, Visio required;
                                                                • -
                                                                • Strong analytical and technical design skills required;
                                                                • -
                                                                • Working knowledge of Git preferred;
                                                                • -
                                                                • Experience working in a healthcare business environment preferred;
                                                                • -
                                                                • Good judgment and understanding of what issues to escalate, resolve on your own, making suggestions for possible resolution required;
                                                                • -
                                                                • Ability to learn new technology expediently required;
                                                                • -
                                                                • Ability to lead or participate in business meetings to capture requirements, provide status updates and document the requirements required;
                                                                • -
                                                                • Ability to maintain responsibility for all aspects of pipeline development, automation and improvements/operations for a project required;
                                                                • -
                                                                • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration and adaptability are important required;
                                                                • -
                                                                • Results oriented with the ability to manage multiple assignments simultaneously while ensuring commitments are met required.
                                                                • +
                                                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies.
                                                                • +
                                                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                                                • +
                                                                • Select appropriate datasets and data representation methods
                                                                • +
                                                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                                                • +
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • +
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • +
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                                -

                                                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. Please note, if you are extended an offer of employment, you will be required to provide proof of vaccination in Ontario QR Code format. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy.

                                                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=912248,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2023-02-03T00:44:00.000Z,True,0,33,145,https://talenthub.vectorinstitute.ai/jobs/183877268-data-engineer-at-unity-health-toronto,,expired,2023-01-05T18:37:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -b5cc0a09-f2e2-402a-8d6a-ff59aa607cc0,189569804,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-23T17:24:02.344Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

                                                                +
                                                                +
                                                                +

                                                                +
                                                                +

                                                                What you bring

                                                                  -
                                                                • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
                                                                • -
                                                                • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
                                                                • -
                                                                • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
                                                                • -
                                                                • Perform system release review and follow version control process for trading and risk systems
                                                                • -
                                                                • Provide quantitative support to business partners on key TDS projects and initiatives
                                                                • -
                                                                • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank
                                                                • +
                                                                • You have 5 + years experience in a data related position
                                                                • +
                                                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                                                • +
                                                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                                                • +
                                                                • You are well versed in software and AI development lifecycles
                                                                • +
                                                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                                                • +
                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • +
                                                                • Google Professional ML Engineering Certification
                                                                • +
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                                                • +
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.)
                                                                +

                                                                #LI-REMOTE

                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Calgary-Machine-Learning-Engineer-AB/563183917/,feed-importer@jobboard.io,,,,2022-09-26T18:54:00.000Z,False,0,5,70,https://talenthub.vectorinstitute.ai/jobs/151296958-machine-learning-engineer-at-telus,,expired,2022-09-16T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, +868f1e66-41d0-4bac-b9d1-5f861f48089e,152083424,Omers,"Student, BI Enablement & Data Analytics (Winter 2023, 4 Months)",on_site,"Ontario, Canada",2022-09-20T07:35:06.842Z,"
                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                Requirements

                                                                -
                                                                  -
                                                                • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
                                                                • -
                                                                • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
                                                                • -
                                                                • Excellent written and verbal communication skills
                                                                • -
                                                                • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
                                                                • -
                                                                • Good computational and programming knowledge
                                                                • -
                                                                • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
                                                                • -
                                                                • Previous working experience in Model Development, Model Validation or related quantitative role
                                                                • -
                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                +
                                                                +

                                                                • Participating in the workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates. Participate in Dashboard in a Day and other Power Platform workshops at Enterprise level
                                                                • Designing and building interactive data visualization using Power BI to provide insights. Developing and monitoring Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                                                • Adopting best practices of development and delivery
                                                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                                                • Operating in an Agile development environment

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                To succeed in this role, you have:
                                                                • Knowledge of data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                                                • Knowledge of SQL scripting
                                                                • Knowledge of additional programming language such as Python is an asset
                                                                • Knowledge of machine learning and data science is a plus
                                                                • Excellent written and verbal communication and presentation skills targeted at all levels of the organization

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                IMPORTANT: Application Instructions

                                                                +

                                                                To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/189569804-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -d77175be-bbdc-4938-938c-06bf7169cd97,189567849,Google,"Technical Sales Specialist, Infrastructure Modernization, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.022Z,"
                                                                -
                                                                -2022-12-15T22:30:57.429Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Technical Sales Specialist, Infrastructure Modernization, Google Cloud

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Toronto, ON, Canada -
                                                                • -
                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                +

                                                                Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                                +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +

                                                                +

                                                                +

                                                                Vaccination Policy

                                                                +

                                                                +

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--BI-Enablement---Data-Analytics--Winter-2023--4-Months-_JR-3822,feed-importer@jobboard.io,,,,2022-09-26T18:14:00.000Z,False,0,8,20,https://talenthub.vectorinstitute.ai/jobs/152083424-student-bi-enablement-data-analytics-winter-2023-4-months-at-omers,,expired,2022-09-20T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, +d7291fc2-9e4d-4547-b7ff-5b4090c8b68c,151145739,Scotiabank,"Drive, Data & Analytics Rotational New Graduate Program",on_site,Canada : Ontario : Toronto,2022-09-15T20:19:02.107Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 161299

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Drive, Data & Analytics Rotational New Graduate Program

                                                                +

                                                                +

                                                                Start Date: June 2023

                                                                +

                                                                Location: Toronto, Ontario

                                                                +

                                                                +

                                                                What can I expect from the Drive program?

                                                                +

                                                                +

                                                                The Drive program is a 24-month rotational program designed to provide recent grads passionate about technology with the opportunity to kick-start their career in Data & Analytics by learning the foundational elements of Scotiabank’s Customer Insights Data & Analytics (CID&A) business line. Across their time in program associates will rotate to three areas for 8 months each: Data, Analytics, and Technology. The specific team alignment will be based on business needs with a focus on providing you with insights and breadth of knowledge about this space.

                                                                +

                                                                +

                                                                Through the program you will learn about end-to-end processes from model development to tech implementation and deployment. You can expect mentoring from passionate leaders in the space of Data, Analytics and Technology to support you on your journey and help guide you as you develop technical skills and understanding, setting you up for success to be a future leader in CID&A. After successfully completing the program, our goal is for you to take your learnings into a permanent role where you will continue to innovate and support all business lines at the Bank to leverage data for decision making and innovation to better serve our customers.

                                                                +

                                                                +

                                                                Is this program right for me?

                                                                +

                                                                You are graduating by June 2023 or are a recent graduate who is curious and excited to learn about continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions and tinkering with new and old technologies, ensuring you understand the process end-to-end. You thrive in an ever-changing environment and want to be a part of something BIG. You love to learn and envision yourself working for an international organization that invests in your future.

                                                                +

                                                                +

                                                                You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself someone who can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You are not afraid to roll up your sleeves to get things done!

                                                                +

                                                                +

                                                                More specifically, you have some or all of the following:

                                                                +
                                                                • Strong technical skills with Python, Java, or Scala
                                                                • Solid knowledge of SQL
                                                                • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                                                • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                                                • +
                                                                +

                                                                +

                                                                How do I apply?

                                                                +

                                                                Please complete all three steps below:

                                                                +
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                3. +Complete a coding test through Codility here prior to applying though our career site. You are only allowed one attempt and the assessment must be completed individually. +
                                                                4. +
                                                                +

                                                                +

                                                                Application Deadline: September 21, 2022 at 11:59PM EST

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-19T17:07:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/151145739-drive-data-analytics-rotational-new-graduate-program-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,expired,2022-09-15T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +5154a43f-00dc-4557-ae70-5354a275174d,146508203,KPMG,"Data Engineer, Lighthouse",on_site,"Toronto, Canada",2022-08-27T01:55:13.745Z,"

                                                                Overview

                                                                +

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                +

                                                                +

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                +

                                                                +

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                +

                                                                +

                                                                Why KPMG Lighthouse Exponential?

                                                                +

                                                                +

                                                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                                  -
                                                                • Bachelor’s degree or equivalent practical experience.
                                                                • -
                                                                • 6 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                                                • -
                                                                • Experience in performing technical presentations or public speaking.
                                                                • -
                                                                • Experience with workload migrations, analyzing factors such as scalability, disaster recovery, and high availability.
                                                                • +
                                                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                                • +
                                                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                                • +
                                                                • Our teams build and deliver solutions that transform the business of our clients
                                                                • +
                                                                • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                                • +
                                                                +

                                                                KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Engineer to join our team in 2023!

                                                                +


                                                                What you will do

                                                                +
                                                                  +
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • +
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • +
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • +
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • +
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • +
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • +
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • +
                                                                • Support application testing and production implementation as required.
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • +
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • +
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                                • +
                                                                +


                                                                What you bring to the role

                                                                +
                                                                  +
                                                                • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • +
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • +
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                • +
                                                                • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                • +
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • +
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • +
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                • +
                                                                +

                                                                +

                                                                Keys to your success:

                                                                +
                                                                  +
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • +
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • +
                                                                • Ability to understand and explain business value of data and analytics concepts.
                                                                • +
                                                                • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                • +
                                                                • Experience in visual exploration to perform data discovery and highlight insights
                                                                • +
                                                                • Knowledge of how specific visual components drive usability and understanding
                                                                • +
                                                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                • +
                                                                +

                                                                +

                                                                To apply:

                                                                +

                                                                +

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                +

                                                                +

                                                                Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                +

                                                                +

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                +


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                +

                                                                +

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                +

                                                                +

                                                                Providing you with the support you need to be at your best

                                                                +

                                                                +

                                                                +

                                                                +

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                +


                                                                Our Values, The KPMG Way

                                                                +

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                +

                                                                +

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                +

                                                                +

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                +

                                                                +

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                +

                                                                +

                                                                ",,https://careers.kpmg.ca/students/jobs/17033?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:03:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/146508203-data-engineer-lighthouse-at-kpmg,https://careers.kpmg.ca/students/jobs/17033?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +c64ddf97-2cce-4168-8bb8-aa2d9dfc9603,151256164,KPMG,"Data Analyst, Consultant - GRCS Risk Consulting",on_site,"Toronto, Canada",2022-09-16T01:56:11.866Z,"

                                                                Overview

                                                                +

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                +

                                                                +

                                                                Video: Digital Opportunities

                                                                +
                                                                  +
                                                                • Work closely with clients in understanding key business issues.
                                                                • +
                                                                • Gather and analyze requirements to develop impactful recommendations and solutions.
                                                                • +
                                                                • Utilize advanced analytical technics to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                                                • +
                                                                • Develop a strong experience in analytics, statistics, data mining, reporting, visualization and/or intelligent automation.
                                                                • +
                                                                • Develop problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                                                • +
                                                                • Work with large volumes of data (structured and unstructured).
                                                                • +
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • +
                                                                • Perform quantitative analysis of data issues.
                                                                • +
                                                                • Effectively communicate orally and written with peers within Governance, Risk and Compliance Services (GRCS), KPMG and the client.
                                                                • +
                                                                • Learn more about Risk Consulting here
                                                                • +
                                                                • Learn more about our Toronto office here
                                                                • +
                                                                +


                                                                What you will do

                                                                +

                                                                As a Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                +
                                                                  +
                                                                • Work closely with clients and partners on digital opportunities.
                                                                • +
                                                                • Perform In-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients.
                                                                • +
                                                                • Work with unique data analytic programs to deliver innovative solutions to our clients.
                                                                • +
                                                                • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models.
                                                                • +
                                                                • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations.
                                                                • +
                                                                • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources.
                                                                • +
                                                                • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members.
                                                                • +
                                                                • Develop complex SQL queries to ask questions of large/complex datasets.
                                                                -

                                                                Preferred qualifications:

                                                                +


                                                                What you bring to the role

                                                                +

                                                                You have strong work experience and academic record, and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                +
                                                                  +
                                                                • Strong experience of 2-3 years, working with data from a variety of databases.
                                                                • +
                                                                • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks.
                                                                • +
                                                                • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                • +
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries.
                                                                • +
                                                                • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset.
                                                                • +
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • +
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • +
                                                                • Ability to understand and explain business value of data and analytics concepts
                                                                • +
                                                                • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                • +
                                                                • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                • +
                                                                • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                • +
                                                                • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                • +
                                                                +

                                                                Keys to your success:

                                                                +

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                +

                                                                Providing you with the support you need to be at your best



                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                +

                                                                +


                                                                Our Values, The KPMG Way

                                                                +

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                +

                                                                +

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                +

                                                                +

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                +

                                                                +

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                +

                                                                +

                                                                ",,https://careers.kpmg.ca/professionals/jobs/14799?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:11:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/151256164-data-analyst-consultant-grcs-risk-consulting-at-kpmg,https://careers.kpmg.ca/professionals/jobs/14799?lang=en-us,expired,2022-09-16T01:56:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +1b3631a4-10b7-4f40-95d3-d4734985101c,146508208,KPMG,"Data Scientist, Lighthouse",on_site,"Toronto, Canada",2022-08-27T01:55:14.785Z,"

                                                                Overview

                                                                +

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                +

                                                                +

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                +

                                                                +

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                +

                                                                +

                                                                Why KPMG Lighthouse Exponential?

                                                                +

                                                                +

                                                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                                                  -
                                                                • Master\'s degree in Computer Science or a related field.
                                                                  -
                                                                • -
                                                                • Experience with legacy and modern application development, cloud service delivery, and deployment.
                                                                  -
                                                                • -
                                                                • Experience with application development technologies, architecting, and developing software or infrastructure for scalable and secure distributed systems.
                                                                  -
                                                                • -
                                                                • Experience with Relational Databases, NoSQL Databases, Big Data technologies, and containers.
                                                                  -
                                                                • -
                                                                • Understanding of IaaS, PaaS, FaaS (XaaS).
                                                                  -
                                                                • +
                                                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                                                • +
                                                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                                                • +
                                                                • Our teams build and deliver solutions that transform the business of our clients
                                                                • +
                                                                • Our regional hubs are located in strategic markets and provide specialty services to local teams
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                                -

                                                                As a Technical Specialist, you will work with the Sales team to introduce Google Cloud to our customers. You will help prospective, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, and problem-solve any potential technical roadblocks.

                                                                -

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Work to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
                                                                • -
                                                                • Manage technical relationships with Google’s customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
                                                                • -
                                                                • Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
                                                                • -
                                                                • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
                                                                • -
                                                                • Travel to customer sites, conferences, and other related events.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/78444987743642310-technical-sales-specialist-infrastructure-modernization-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-02T17:25:02.034Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/189567849-technical-sales-specialist-infrastructure-modernization-google-cloud-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -330bdd1c-afa2-4b62-b35b-d627f7186e3c,191127598,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.939Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                TD’s Corporate Defense Group (CDG) is seeking a Senior Business Insights Analyst to join their Data, Analytics and Reporting (DAR) team. This senior analyst will be instrumental in delivering analytic products to the internal clients we serve: Fraud Risk Management, Global Security & Investigations (GSI), Global Privacy and Enterprise Insider Risk Program (EIRP). The teams supported represent unique businesses that span both 1st and 2nd line responsibilities within the 3 Lines of Defense model of risk management and have immense synergies and an overall united goal of protecting the bank. The ideal candidate will be able to bridge the gap between fraud risk management and analytical expertise.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                This individual will primarily support the IM program, along with broader CDG DAR initiatives in an auxiliary capacity. Mainly responsible for identifying and escalating enterprise-wide findings to stakeholders and various risk committees by using a variety of analytics tools to detect and prevent internal and external fraudulent activity. And coordinate with business partners (Internal Audit, Compliance, Operational Risk Management, FRM, etc) to monitor fraud risk through data analysis and visual reporting. Ensure compliance with established fraud risk policies and procedures required by regulators, supporting comprehensive fraud risk management frameworks in the US and Canada.

                                                                -

                                                                Key Responsibilities:

                                                                +

                                                                KPMG Lighthouse Exponential Toronto has an exciting opportunity for a Data Scientist to join our team in 2023!

                                                                +


                                                                What you will do

                                                                  -
                                                                • Desire and tenacity to learn new skills and adapt to new challenges that have a steep learning curve, and are a self-starter that pro-actively tackles problems and deliver end to end data products independently
                                                                • -
                                                                • Proactively assists in the oversight of a Fraud Risk Management Issues Management Program to provide “value-added” insights in the form of analysis, interpretation of emerging and/or changing fraud risk and related control opportunities and enhancements
                                                                • -
                                                                • Conduct analysis by applying statistical methods, and effectively communicate results through illustrative visualizations to our stakeholders and senior management
                                                                • -
                                                                • Validate the quality and integrity of the data being analyzed and reported
                                                                • -
                                                                • Collaborates with business stakeholders, control and governance partners to support Data management efforts and maintain detailed documentation
                                                                • +
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • +
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • +
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • +
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • +
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • +
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • +
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • +
                                                                • Support application testing and production implementation as required.
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • +
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • +
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments.
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                  -
                                                                • Undergraduate or graduate degree in quantitative discipline such as management analytics, computer engineering, computer science, mathematics, physics, economics
                                                                • -
                                                                • 3-5 years relevant working experience with preferred understanding of fraud, risk assessment, and/or other risk management processes to identify and monitor fraud risks within the organization and providing oversight and appropriate resolution to the business.
                                                                • -
                                                                • Experience and knowledge with industry data tools, including Tableau, Python, SQL, and/or Cloud experience.
                                                                • -
                                                                • Excel and PowerPoint – Strong proficiency with Excel and the ability to draft storyboards and execute narratives in PPT common in advisory or consultancy roles is also valued
                                                                • -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                Successful candidates will be asked to complete a small case study over the period of a few days.
                                                                Feel free to attach professional or personal work that showcase your abilities.
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/191127598-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -51cc0365-dcc1-46a8-ac01-af84bd3dcb69,189569808,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-01-23T17:24:02.622Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                -

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                -

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                -

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                -
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                -

                                                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                -

                                                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                                                -

                                                                Job Description
                                                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                                                -

                                                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                                                -

                                                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                                                -

                                                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                                                -

                                                                Responsibilities

                                                                +


                                                                What you bring to the role

                                                                  -
                                                                • Design / execute / measure high impact direct to consumer marketing experiments
                                                                • -
                                                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                                                • -
                                                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                                                • -
                                                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                                                • -
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • -
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • -
                                                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship
                                                                • +
                                                                • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • +
                                                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                • +
                                                                • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                • +
                                                                • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                • +
                                                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                • +
                                                                • Basic understanding of Data Warehousing and Data Modeling.
                                                                • +
                                                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Skill Sets

                                                                +

                                                                +

                                                                Keys to your success:

                                                                  -
                                                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                • -
                                                                • Technical and detail oriented
                                                                • -
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                                                • -
                                                                • A project management mindset to help deliver on time to specifications
                                                                • -
                                                                • Team player while able to work independently
                                                                • -
                                                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                                                • -
                                                                • A profit driven mindset
                                                                • +
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • +
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • +
                                                                • Ability to understand and explain business value of data and analytics concepts.
                                                                • +
                                                                • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                • +
                                                                • Experience in visual exploration to perform data discovery and highlight insights
                                                                • +
                                                                • Knowledge of how specific visual components drive usability and understanding
                                                                • +
                                                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                -

                                                                Qualifications

                                                                +

                                                                +

                                                                To apply:

                                                                +

                                                                +

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                +

                                                                +

                                                                Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                +

                                                                +

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                +


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                +

                                                                +

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                +

                                                                +

                                                                Providing you with the support you need to be at your best

                                                                +

                                                                +

                                                                +

                                                                +

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                +


                                                                Our Values, The KPMG Way

                                                                +

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                +

                                                                +

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                +

                                                                +

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                +

                                                                +

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                +

                                                                +

                                                                ",,https://careers.kpmg.ca/students/jobs/17032?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:08:00.000Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/146508208-data-scientist-lighthouse-at-kpmg,https://careers.kpmg.ca/students/jobs/17032?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +dfbc9fa2-e1b3-496e-a682-b95598d6f9d4,146508202,KPMG,"Data Engineer, Pay Equity",on_site,"Toronto, Canada",2022-08-27T01:55:13.446Z,"

                                                                Overview

                                                                +

                                                                Please note that you are limited to one application during the recruitment period as we ask you to think ahead of what office and service line you are most interested in.

                                                                +

                                                                +

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                +

                                                                +

                                                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                                                +

                                                                +

                                                                Why KPMG Pay Equity?

                                                                +

                                                                +

                                                                Pay equity metrics, policies and practices are viewed as key elements of an ESG strategy, and one that employers are being tasked to adopt with a sense of urgency.

                                                                +

                                                                +

                                                                The implementation of the Pay Equity Act is an important commitment by the Government of Canada to close the gender wage gap and help ensure workers receive equal pay for work of equal value. Regulatory frameworks for pay equity compliance have already started to be applied across many countries globally. Additional regulations are expected, as the concept of pay reporting becomes more widespread and normalized.

                                                                +

                                                                +

                                                                The Canadian Pay Equity legislation stipulates that all Canadian employers subject to the Act must post a final pay equity plan by September 3, 2024.

                                                                +

                                                                +

                                                                KPMG in Canada’s team of experienced professionals have the capabilities to help organizations understand their legal and compliance obligations as it relates to Canadian Pay Equity legislation, at both the federal and provincial levels. We can help guide you through the multi-step pay equity process with the help of KPMG’s proprietary pay equity tool to support your businesses in developing a pay equity strategy that aligns with corporate objectives to support and enable your workforce.

                                                                +

                                                                +

                                                                Ensuring your organization is paying women and men equally for doing work of equal value is crucial and allows you to correct systemic gender-based discrimination in compensation. Our KPMG advisors can walk you through a step-by-step plan to ensure you are carrying out the requirements laid out in the federal Pay Equity act.

                                                                +

                                                                +

                                                                We are seeking talented and energetic candidates to join our Pay Equity team in 2023.

                                                                +


                                                                What you will do

                                                                  -
                                                                • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                                                • -
                                                                • Significant experience with IBM Campaign (Unica) an asset
                                                                • -
                                                                • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                                                • -
                                                                • Knowledge of Python, Azure, Databricks, Hadoop
                                                                • -
                                                                • Experience designing successful direct marketing experiments
                                                                • -
                                                                • Degree in business, science, statistics, engineering, or other quantitative discipline
                                                                • -
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                • +
                                                                • Work in terms or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                • +
                                                                • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                                                • +
                                                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                                                • +
                                                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                                                • +
                                                                • Architect the data platform for scalability, repeatability and performance.
                                                                • +
                                                                • Develop standards for data processes and automate routine tasks.
                                                                • +
                                                                • Run queries for descriptive analytics and provide formatted result sets.
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                                                • +
                                                                • Support application testing and production implementation as required.
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues.
                                                                • +
                                                                • Enable overall solution and full-scope architecture design and build.
                                                                • +
                                                                • Design software architecture following best practices after understanding customer requirements enterprise environments
                                                                -
                                                                -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/189569808-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d7e521a7-b924-4c3b-8f3b-f67703ce825d,189568980,Scotiabank,Manager Credit Risk Provisions and Analytics - Contract,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.213Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169609

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -


                                                                Contributes to the overall success of the Credit Risk Provisions and Analytics / GRM globally, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                                                -

                                                                The Manager takes initiatives to evaluate and improve the Current Expected Credit Loss (CECL) methodology for the Bank’s US subsidiaries, contributes to CECL implementation and provide insights and analytics to senior executives, business lines, and business units.

                                                                -

                                                                -

                                                                Accountabilities:

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Works closely with key stakeholders in developing the CECL end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
                                                                • Contributes to quarterly CECL measurement, analytics, and reporting.
                                                                • Provides support in preparing CECL and IFRS 9 reports to senior management and to the relevant business units; as well as providing analytics on the underlying data.
                                                                • Ensures CECL documentation is up-to-date and in compliance with Model Validation and Audit guidelines.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                • Champions a high-performance environment and contributes to an inclusive work environment.
                                                                • +


                                                                  What you bring to the role

                                                                  +
                                                                    +
                                                                  • Strong experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                                                  • +
                                                                  • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                                                  • +
                                                                  • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                                                                  • +
                                                                  • Strong ability to use Python, Panda and NumPy for data analysis and cleansing tasks
                                                                  • +
                                                                  • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                                                  • +
                                                                  • Basic understanding of Data Warehousing and Data Modeling.
                                                                  • +
                                                                  • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                                                  -


                                                                  Education / Experience / Other Information:

                                                                  -
                                                                  • Strong verbal and written communication skills and proven problem-solving skills.
                                                                  • Good organizational and analytical skills.
                                                                  • Experience in Python, SQL and statistical modelling.
                                                                  • Comfort and experience working in a project context and juggling multiple competing priorities
                                                                  • Critical thinking skills and ability to work under tight timelines.
                                                                  • Bachelor / Master’s in Accounting, Business, Finance, Economics, Mathematics, Engineering or Statistics.
                                                                  • Professional qualification such as CPA / CMA/ CGA / CFA is an added advantage.
                                                                  • +

                                                                    Keys to your success:

                                                                    +
                                                                      +
                                                                    • Ability to explain data and analytics concepts to non-technical team members.
                                                                    • +
                                                                    • Ability to apply data and analytics concepts to business problems.
                                                                    • +
                                                                    • Ability to understand and explain business value of data and analytics concepts.
                                                                    • +
                                                                    • Knowledge of basic machine learning to collaborate with the team on ML projects
                                                                    • +
                                                                    • Experience in visual exploration to perform data discovery and highlight insights
                                                                    • +
                                                                    • Knowledge of how specific visual components drive usability and understanding
                                                                    • +
                                                                    • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                                                    -

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/189568980-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Optimization & Decision Science- 12 Month Secondment/ Contract",on_site,"Ontario, Canada",2023-01-27T17:06:03.396Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                The Analytics & Decision Science team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                -

                                                                -

                                                                How You’ll Succeed

                                                                +

                                                                To apply:

                                                                +

                                                                +

                                                                Please apply directly to KPMG at kpmg.ca/careers

                                                                +

                                                                +

                                                                Applications close on September 18th, 2022 at 11:59 PM ET.

                                                                +

                                                                +

                                                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                                                +


                                                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                                                +

                                                                +

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                +

                                                                +

                                                                Providing you with the support you need to be at your best

                                                                +

                                                                +

                                                                +

                                                                +

                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                +


                                                                Our Values, The KPMG Way

                                                                +

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                +

                                                                +

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                +

                                                                +

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                +

                                                                +

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                +

                                                                +

                                                                ",,https://careers.kpmg.ca/students/jobs/17037?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-09-19T17:01:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/146508202-data-engineer-pay-equity-at-kpmg,https://careers.kpmg.ca/students/jobs/17037?lang=en-us,expired,2022-08-27T01:55:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +0b53c792-c881-4aa9-905f-4ec2f52f03e7,145755944,SeeSpine,Senior Software Engineer (3D),full,"Montreal, QC, Canada",2022-08-22T14:30:26.339Z,"

                                                                Senior Software Engineer (3D)

                                                                +

                                                                SeeSpine is a telehealth application combining 3D imaging and artificial intelligence in scoliosis management. From a video taken on any smartphone, SeeSpine recreates a scaled 3D model of the torso, quantifies the deformity, and predicts progression of the disease. By leveraging radiation-free, remote software, SeeSpine allows for more frequent assessment, decreasing the probability of requiring surgery and the incumbent breast cancer risks. SeeSpine offers employees the opportunity to put their talent towards helping millions of children across the globe.

                                                                +

                                                                We’re looking for a software engineer to join our team. As one of the first engineers you have the opportunity to work on the core of our product and take on a great deal of responsibility. You will oversee the development of the software that analyses point clouds to detect scoliosis.

                                                                +

                                                                About you

                                                                  -
                                                                • -Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                                                • -
                                                                • -Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                                                • -
                                                                • -Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                                • +
                                                                • 2 to 5+ years of industry experience, and you are comfortable working and thinking in 3D.
                                                                • +
                                                                • You are proficient in Python and relevant libraries like NumPy (experience working with point clouds is preferable, but not required). You strive to write elegant and maintainable code and are comfortable picking up new technologies.
                                                                • +
                                                                • You have broad knowledge about transport and API protocols like REST.
                                                                • +
                                                                • You have a product mindset to understand business needs and develop scalable engineering solutions.
                                                                • +
                                                                • You always look for opportunities to simplify, automate tasks, and build reusable components across multiple use cases.
                                                                • +
                                                                • You have strong communication skills.
                                                                • +
                                                                • You are curious and eager to work across various engineering specialties (i.e., 3D analysis, machine learning, cloud infrastructure).
                                                                • +
                                                                • You have an eye for detail and like to spark joy amongst your partners with well-documented high-quality products that are modelled and easy to understand.
                                                                • +
                                                                • You are comfortable working in the most agile environments with vague requirements and rapid iterations. You are nimble and take intelligent risks.
                                                                -

                                                                -

                                                                Who You Are

                                                                +

                                                                What we can offer you

                                                                  -
                                                                • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                                                • -
                                                                • -You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                                                                • -
                                                                • -You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                                • -
                                                                • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                                • -
                                                                • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                                • -
                                                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                                • +
                                                                • A competitive salary.
                                                                • +
                                                                • Flexible work week.
                                                                • +
                                                                • Work from home as often as you like.
                                                                • +
                                                                • The chance to build a product that will benefit millions of children with scoliosis worldwide.
                                                                +

                                                                Our culture

                                                                +

                                                                You love working independently while also collaborating and giving/receiving candid feedback. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                                +

                                                                ",philippe@seespine.ca,,philippe@seespine.ca,https://www.linkedin.com/company/seespine/,,,2022-09-19T17:34:00.000Z,False,0,0,39,https://talenthub.vectorinstitute.ai/jobs/145755944-senior-software-engineer-3d-at-seespine,,expired,2022-08-22T14:30:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Health,Senior Level,Bachelors Degree,New Posting, +ccee9883-fa55-4cf0-a2f4-09f74e56feb1,145964510,TD Bank Group,DATA & ANALYTIC: BUSINESS INTELLIGENCE & REPORTING ASSOCIATE(GRADUATE),on_site,"Toronto, ON, Canada",2022-08-23T20:38:53.791Z,"

                                                                Company Overview

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                -

                                                                What CIBC Offers

                                                                +

                                                                Department Overview

                                                                +

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                Job Description

                                                                +

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Intelligence & Reporting Associate will perform a variety of activities, which may include:

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                                • +
                                                                • Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction
                                                                • +
                                                                • Develop and maintain specialized reporting packages and dashboards utilizing data from various systems including localized data-marts on SQL Server, HOST/Mainframe Systems, Enterprise Data Warehouse(s) on DB2, and external data sources utilizing PBD&A reporting tools (i.e., MS SQL BI Stack: [SSDS, SSIS, SSRS, SSAS], Alteryx, Tableau, MS Power BI, Python, etc.)
                                                                • +
                                                                • Manage the repository of all reporting assets including and not limited to development scripts and objects, documentation, etc.
                                                                • +
                                                                • Adopt, implement, and effectively evolve report automation standards
                                                                • +
                                                                • Validate the quality and integrity of the data included in all reporting
                                                                • +
                                                                • Lead project and partner discussions to understand business requirements and associated value in support of overall business/function strategy

                                                                -

                                                                What you need to know

                                                                +

                                                                Requirements

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Must be graduated between May 2021 and May 2023 with a Graduate degree in Business, Management, and/or Data Analytics or related.
                                                                • +
                                                                • At least 2 years of professional experience, which can include work terms during completion of studies.
                                                                • +
                                                                • Strong statistical and analytical skills and interest are an asset.
                                                                • +
                                                                • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs. +
                                                                • +
                                                                • Experience with telling a story through data visualization
                                                                • +
                                                                • Strong technical knowledge and experience with one or more of: SQL, SAS, MS SQL BI Stack: [SSDS, SSIS, SSRS, SSAS], Tableau, MS Power BI, Python, PySpark, Alteryx, Bitbucket
                                                                • +
                                                                • Technical knowledge or experience with Hadoop, Spark and Cloud is an asset. Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned task..
                                                                • +
                                                                • Must have the capability to dive into a business issue, understand the route cause and to help partners to understand how to leverage data to tell a story that will solve for the issue

                                                                +

                                                                Additional Information

                                                                +
                                                                  +
                                                                • +Application Deadline: September 25th, 2022
                                                                • +
                                                                • +Anticipated Start Date: January 2023 or July 2023 (pending academic completion)
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +

                                                                +

                                                                Hours

                                                                +

                                                                37.5

                                                                -

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 25th Floor

                                                                Employment Type

                                                                Temporary (Fixed Term)

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Advanced Analytics, Analytical Thinking, Big Data, Big Data Technologies, Business Problems, Business Processes, Data Science, Datasets, Decision Sciences, Innovation, Machine Learning, Operations Research, Python (Programming Language), Statistics
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Optimization---Decision-Science_2243008?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-02T17:11:05.794Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/190516924-senior-data-scientist-optimization-decision-science-12-month-secondment-contract-at-cibc,,expired,2023-01-27T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -16981557-7f97-449f-b94f-0e9affe4a862,189570211,Magna International,Data Scientist,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2023-01-23T17:39:06.873Z,"
                                                                -
                                                                -

                                                                Job Introduction

                                                                -

                                                                The Data Scientist will be a key member of the R&D team and will solve data-related challenges in manufacturing operations. In this role, you will collaborate with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                                                                -
                                                                -
                                                                -

                                                                Major Responsibilities

                                                                -
                                                                • Contribute to and engage in a working environment aimed at partnering with the product groups and divisions to leverage the process innovations to the targeted scale.
                                                                • Contribute relevant analytical findings to the technical discussion with the product groups to prepare the process for total cost reduction, as it pertains to Factory of the Future.
                                                                • Support the ideation process from a data perspective to identify gaps and opportunities in manufacturing processes, building blocks, and technologies to develop economical and scalable solutions.
                                                                • Derive and show optimization potentials for given applications based on data analysis, utilizing state of the art and cutting-edge mathematical methods (AI).
                                                                • Deploy machine learning methods to simplify / substitute repeating tasks.
                                                                • Develop proof of concepts (POC) based on AI methods for closed loop control in production (e.g. Vision-based decision making, reinforcement learning approaches for controls, etc.).
                                                                • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and executive leadership.
                                                                • Support, plan, and execute ML and AI initiatives. Manage and facilitate initial small-scale implementation. Support broad deployment and adoption within the organization.
                                                                • Develop, maintain, and document the source code for all developments.
                                                                • Leverage internal and external expertise as required.
                                                                • Regularly interface with senior management to provide project updates.
                                                                • Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Knowledge and Education

                                                                -
                                                                • Master’s Degree in Mathematics, Statistics, Computer Science, Physics, or a closely related education with 2+ years of experience in industry.
                                                                • PhD preferred.
                                                                • Excellent mathematical knowledge in the field of statistics.
                                                                • Deep knowledge of Python and data analysis relevant libraries.
                                                                • SW development knowledge with detailed understanding of SW deployment processes is desired.
                                                                • Knowledge of network technologies and protocols (e.g. MQTT).
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Work Experience

                                                                -
                                                                • Demonstrated experience with a wide variety of ML and AI techniques and algorithms.
                                                                • Demonstrated experience with Python, SQL, and other related tools and toolchains to be able to oversee, direct, and manage projects in the field.
                                                                • Experience with virtualization (e.g. PowerBI, Grafana) and deployment tools (e.g. Docker).
                                                                • Experience with manufacturing related data analytics is preferred.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Skills and Competencies

                                                                -
                                                                • Very good knowledge of English language is required, knowledge of German language is advantageous.
                                                                • Open mindset and eager to learn.
                                                                • “Challenge the status-quo” mentality.
                                                                • Team player with an analytical personality and strong communication skills.
                                                                • Willingness to ask questions and build networks/relationships with other departments/groups.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Work Environment

                                                                -
                                                                • While performing the duties of this job, the employee is regularly required to talk and hear, and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
                                                                • Responsible for working in compliance with the provisions of the Health and Safety Act, as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
                                                                • Travel up to 25% - domestic and international may be required.
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Awareness. Unity. Empowerment.

                                                                -
                                                                -

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                -

                                                                -

                                                                #LI-Hybrid

                                                                -
                                                                -
                                                                -
                                                                ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-02-02T17:44:01.841Z,False,0,15,53,https://talenthub.vectorinstitute.ai/jobs/189570211-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2023-01-23T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -1ec70bc1-d4bb-47f4-a308-d49c1f7775fc,190519204,Clearpath,Software Test Co-op,on_site,"Ontario, Canada",2023-01-27T17:42:03.392Z,"

                                                                Description

                                                                -

                                                                Position: Software Test Co-op
                                                                Location: Kitchener, Ontario
                                                                Student Level: Junior/Intermediate
                                                                Education: Software Engineering

                                                                -

                                                                About Clearpath Robotics Inc.

                                                                -

                                                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                                -

                                                                About OTTO™ Motors

                                                                -

                                                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com

                                                                -

                                                                About the Job:

                                                                -

                                                                We believe in providing our clients with complete solutions revolutionizing manufacture and warehousing. Clearpath provides system software that allows its customers to direct and monitor their fleet of robots without having to worry about the details.

                                                                -

                                                                You will be working in a team responsible for testing Clearpath\'s fleet management and related system software. Your goal is to help build a system of robust and efficient software tests that will enable our Fleet Manager to operate at a high level of reliability for years in the field.

                                                                -

                                                                Job Responsibilities:

                                                                -

                                                                You will assist in the testing, troubleshooting, and quality assurance of the fleet manager software system, working closely with other members of the test, continuous integration & Fleet software development teams.

                                                                -

                                                                Additional tasks may include:

                                                                - Test plan development and implementation
                                                                - Executing tests for full system, component, simulation and performance.
                                                                - Documenting test results.
                                                                - Capturing issues and artifacts, establishing a strong feedback loop back into development.
                                                                - Extending test frameworks.
                                                                - Supporting continuous integration, internal tools, and infrastructure.

                                                                -

                                                                Required Skills:

                                                                - Practical software development and test skills.
                                                                - Team player, good communicator.
                                                                - Experience with Python.
                                                                - Exposure to Linux and version control (Git).
                                                                - Exposure to web testing frameworks (Cypress, Selenium).
                                                                - Exposure to HTTP REST API\'s.

                                                                -

                                                                Bonus Point for:

                                                                - System-level testing, and continuous integration.
                                                                - ROS exposure.
                                                                - Familiar with scripting e.g. bash.

                                                                -

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/obZ4lfwj,feed-importer@jobboard.io,,,,2023-02-02T17:47:04.254Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/190519204-software-test-co-op-at-clearpath,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, -3dab2ab4-7a8f-4753-b4bd-ccd8de1336e4,179960297,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2022-12-22T17:22:04.323Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169910

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -

                                                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                                                -


                                                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                                                -

                                                                -

                                                                Specifically, the individual will be responsible for:

                                                                -


                                                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                                                -

                                                                Accountabilities:

                                                                -



                                                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                                                Requirements & Qualifications:

                                                                -



                                                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                                                • Experience in developing executive-friendly presentations and dashboards
                                                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                                                • Strong curiousity to learn with adaptive and creative mindset
                                                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T15:01:55.364Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/179960297-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -35d6f866-7d45-4c8f-8b13-cd3a30a480f6,179960344,TD Bank Group,Data Scientist II (Data Conversion and Data Migration),on_site,"Toronto, ON",2022-12-22T17:24:06.283Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                -
                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role
                                                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.
                                                                As a Data Scientist II, these are the essential qualifications of this role:

                                                                +

                                                                Start Date

                                                                +

                                                                – Winter

                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                ",,https://jobs.td.com/en-CA/jobs/16530936/data-analytic-business-intelligence-reporting-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:39:00.746Z,False,0,11,69,https://talenthub.vectorinstitute.ai/jobs/145964510-data-analytic-business-intelligence-reporting-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:38:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +53323373-6d21-4f0d-a79c-e991adcc2e83,145964526,TD Bank Group,DATA & ANALYTICS: DATA ENGINEER ASSOCIATE (GRADUATE),on_site,"Toronto, ON, Canada",2022-08-23T20:40:22.990Z,"

                                                                Company Overview

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                Associate Role Profile: 1-year in-depth experience, complemented by programming, coaching, tools and support.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. To accomplish this, we’re evolving our Platforms, introducing key enterprise practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                                                +

                                                                NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.
                                                                Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in Data & Analytics. The Data Engineer will perform a variety of activities, which may include:

                                                                  -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative data solutions that will become core work you’re doing
                                                                • -
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for stakeholders
                                                                • -
                                                                • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                                                                • -
                                                                • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                                                                • -
                                                                • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                                                                • -
                                                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                                • -
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • -
                                                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                                                • -
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                • Bringing conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                                                • +
                                                                • Leveraging your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                                                • +
                                                                • Engaging in business and data requirements to develop complete business solutions
                                                                • +
                                                                • Designing and implementing complex business data information management frameworks
                                                                • +
                                                                • Engaging in testing of the technical information systems to ensure data integrity and system functionality
                                                                • +
                                                                • Collaborating with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g., with enterprise framework, methodologies, financial controls, and other requirements)
                                                                • +
                                                                • Participating fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Requirements

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Seven (7) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                                                                • -
                                                                • Sound conceptual knowledge in your area of specialty
                                                                • -
                                                                • Advanced analytical and problem-solving skills
                                                                • -
                                                                • Strong programming skills in Python and PySpark.
                                                                • -
                                                                • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
                                                                • -
                                                                • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
                                                                • -
                                                                • Experienced in working with relational databases.
                                                                • -
                                                                • Strong knowledge of Human Resources, financial services, and banking products. Working knowledge of Human Capital Management is preferred.
                                                                • -
                                                                • Out-of-the-box thinker who seek out innovative solutions and embrace evolving technologies
                                                                • -
                                                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                                                • +
                                                                • Must be graduated between May 2021 and May 2023
                                                                • +
                                                                • Graduate degree in Computer Science or related
                                                                • +
                                                                • At least 2 years of professional experience, which can include work terms during your completion of studies.
                                                                • +
                                                                • Experience with– SQL, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                                                • +
                                                                • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                                                • +
                                                                • Experience in data programming languages, patterns and design principles
                                                                • +
                                                                • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                                                • +
                                                                • Expertise in data storage and movement, including relational and big data
                                                                • +
                                                                • Strong analytical and problem-solving skills
                                                                • +
                                                                • In-depth knowledge of competitor and market trends
                                                                • +
                                                                • Ability to analyze, organize and prioritize work while meeting multiple deadline
                                                                • +
                                                                • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                                                • +
                                                                • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                  -
                                                                • Data Conversion and Data Migration
                                                                • -
                                                                • Experience working with any ERP system
                                                                • -
                                                                +

                                                                Additional Information

                                                                +
                                                                  +
                                                                • +Application Deadline: September 25, 2022
                                                                • +
                                                                • +Anticipated Start Date: January 2023 or July 2023 (pending academic completion)
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change
                                                                • +

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                Hours

                                                                +

                                                                37.5

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                Start Date

                                                                +

                                                                – Spring, – Winter

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-04T15:15:30.646Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/179960344-data-scientist-ii-data-conversion-and-data-migration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bfa7f4d3-06aa-4db8-9fec-4ce40cc3716b,182852947,Google,"Developer Manager, Media, Graphics, and Display, Augmented Reality",on_site,"Toronto, ON, Canada",2023-01-02T17:20:02.418Z,"
                                                                -
                                                                -2022-12-07T11:10:56.825Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Developer Manager, Media, Graphics, and Display, Augmented Reality

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Bachelor\'s degree or equivalent practical experience.
                                                                • -
                                                                • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
                                                                  -
                                                                • -
                                                                • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Master\'s degree or PhD in Computer Science or related technical field.
                                                                  -
                                                                • -
                                                                • 7 years of experience designing and implementing OS and application runtime components.
                                                                  -
                                                                • -
                                                                • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
                                                                  -
                                                                • -
                                                                • 3 years of experience working in a complex, matrixed organization involving cross-functional, projects.
                                                                  -
                                                                • -
                                                                • Experience with bare-metal or RTOS-based microcontroller development in C or C++.
                                                                  -
                                                                • -
                                                                • Experience with one or more of the following: microcontrollers, SoC, ISP, DSP, GPU, display and device drivers, hardware bring-up, power management, ARM processors, firmware, hardware/software integration, developing and debugging machine language, or wireless connectivity
                                                                  -
                                                                • -
                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                ",,https://jobs.td.com/en-CA/jobs/16530930/data-analytics-data-engineer-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:40:26.635Z,False,0,16,100,https://talenthub.vectorinstitute.ai/jobs/145964526-data-analytics-data-engineer-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +68b0f148-93a7-4207-8978-1e795c4079eb,150871022,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-09-15T01:52:15.374Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                Like Google\'s own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of software developers. You not only optimize your own code but make sure software developers are able to optimize theirs. As a Software Development Manager you manage your project goals, contribute to product strategy and help develop your team. Software Development teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software developers are just getting started -- and as a manager, you guide the way.

                                                                -
                                                                -

                                                                Google\'s software developers develop the next-generation technologies that change how users connect, explore, and interact with information and one another.

                                                                -

                                                                You will work on and develop ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, mobile, and more.

                                                                -

                                                                In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business grows/evolves.

                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                -

                                                                The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Lead the developing efforts for the media team, including audio, video, and camera software and hardware components.
                                                                • -
                                                                • Guide efforts to utilize accelerators (e.g., DSPs, GPUs, hardware, software, etc.).
                                                                  -
                                                                • -
                                                                • Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
                                                                  -
                                                                • -
                                                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                                • -
                                                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                                  -
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/140922544619168454-developer-manager-media-graphics-and-display-augmented-reality/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:38:59.539Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/182852947-developer-manager-media-graphics-and-display-augmented-reality-at-google,,expired,2023-01-02T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -7a4c33df-d844-41f5-8802-76c0314b182f,181831442,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2022-12-29T17:22:03.214Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 164210

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                The world is changing faster than ever and so are we!

                                                                -

                                                                -

                                                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                                -

                                                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                                -

                                                                -

                                                                What You'll do in this Role?

                                                                -

                                                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                                -

                                                                -

                                                                Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                                -

                                                                -

                                                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                                -

                                                                -

                                                                Is This Role Right for You?

                                                                -
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                                • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                                • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                                                • You are committed to quality in everything you do – statistically, process and governance wise
                                                                • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • -
                                                                -

                                                                Sample projects that you might work on include:

                                                                -
                                                                • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                                • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                                • Lead the periodic review and maintenance of credit risk models / scorecards
                                                                • Identify, promote and lead process improvements for model development and monitoring
                                                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                                • -
                                                                -

                                                                -

                                                                What Are We Looking For?

                                                                -

                                                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                                -

                                                                To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                                -

                                                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                                -

                                                                -

                                                                Do you have the skills that will enable you to succeed in this role?

                                                                -

                                                                General

                                                                -
                                                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                                • A demonstrated history of analytic problem solving and sound judgment
                                                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                • -
                                                                -

                                                                -

                                                                Technical

                                                                -
                                                                • Strong fundamental understanding of statistics
                                                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • Knowledge of credit risk models / scorecards
                                                                • -
                                                                -

                                                                -

                                                                Nice To Have's

                                                                -
                                                                • Proficient reading, writing and speaking Spanish (not required)
                                                                • Experience developing credit risk models / scorecards
                                                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                                                • FRM, CFA credentials
                                                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                                • +

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  +

                                                                  You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                                                  +
                                                                    +
                                                                  • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                  • +
                                                                  • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                  • +
                                                                  • Design, develop and deploy system enhancements
                                                                  • +
                                                                  • Perform Unit and System Integration tests
                                                                  • +
                                                                  • Document system deployment plans for system implementation and code deployment
                                                                  • +
                                                                  • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                  • +
                                                                  • Provide recommendations with full usability analysis
                                                                  • +
                                                                  • Perform root-cause analysis and resolution of application defects
                                                                  • +
                                                                  • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                  -

                                                                  What's In it For You?

                                                                  -
                                                                  • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                  • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                  • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                  • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                  • A competitive compensation package
                                                                  • +
                                                                  +

                                                                  +

                                                                  Requirements

                                                                  +
                                                                    +
                                                                  • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                                                  • +
                                                                  • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                  • +
                                                                  • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                  • +
                                                                  • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                  • +
                                                                  • Familiarity with source code management such as GIT
                                                                  • +
                                                                  • Familiarity with Jira and Confluence
                                                                  • +
                                                                  • A thirst for constantly exploring emerging technology
                                                                  • +
                                                                  • Skills that would be an asset, but not required
                                                                      +
                                                                    • Familiarity with RDBMS, Big data
                                                                    • +
                                                                    • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                    • +
                                                                    • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                    • +
                                                                    • Interest or aptitude in Financial Systems and the Financial Industry
                                                                    • +
                                                                    • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                    -

                                                                    -

                                                                    This position is located in downtown, Toronto. There are two positions available.

                                                                    -

                                                                    -

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T16:15:27.813Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/181831442-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,expired,2022-12-29T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b2bead8e-8514-4532-aa03-2ba237a47ea1,181831141,Google,"Operations Technician, Data Center (English)",on_site,"Toronto, ON, Canada",2022-12-29T17:20:02.227Z,"
                                                                -
                                                                -2022-12-23T14:00:52.747Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Operations Technician, Data Center (English)

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Toronto, ON, Canada -
                                                                • -
                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Diploma of College Studies in Computer Science or Electronics, or equivalent practical experience.
                                                                • -
                                                                • Experience in Operating Systems and Networking Protocols.
                                                                • -
                                                                • Security clearance from the Government of Canada for Protected B work sites.
                                                                  -
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                  -
                                                                • Experience working with computer hardware and server hardware or troubleshooting/diagnosing.
                                                                  -
                                                                • -
                                                                • Experience in collaborating and partnering with teams.
                                                                  -
                                                                • -
                                                                • Ability to speak in both French and English fluently.
                                                                  -
                                                                • +
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                +

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +

                                                                #AssociateP&T

                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                Google isn\'t just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google\'s powerful search technology. As an Operations Technician, you\'ll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google\'s Linux cluster). You\'ll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You\'ll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

                                                                -

                                                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our software developers, developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Contribute to and lead efforts/projects in the deployment, maintenance and support of data center infrastructure.
                                                                  -
                                                                • -
                                                                • Lead troubleshooting and resolve escalated technical issues over a population of affected equipment.
                                                                • -
                                                                • Help test and troubleshoot new complex server hardware components and designs.
                                                                • -
                                                                • Configure and troubleshoot OS-related issues on servers.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/131345155136332486-operations-technician-data-center-english/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:14:23.478Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/181831141-operations-technician-data-center-english-at-google,,expired,2022-12-29T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,College Diploma,New Posting, -cedfb7ef-4405-402b-b3fe-fd992e2765ea,183866325,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-01-05T17:39:02.875Z,"

                                                                Job Details

                                                                Description

                                                                -

                                                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                                -

                                                                EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                                                -

                                                                Thinking about a change?

                                                                -

                                                                We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                                                                -

                                                                In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Start Date

                                                                +
                                                                – Fall, – Spring, – Summer, – Winter
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-15T12:17:38.295Z,False,0,12,88,https://talenthub.vectorinstitute.ai/jobs/150871022-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-09-15T01:52:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +0b16812a-40f5-4beb-90b4-3421dd0c7a0e,164063817,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics ( 1 year contract )",on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.280Z,"

                                                                -

                                                                You as a Data Engineer (Insight and Analytics) will:

                                                                -
                                                                  -
                                                                • Be a technical lead in the development of high-volume platforms & Data pipelines
                                                                • -
                                                                • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                                                                • -
                                                                • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                                                                • -
                                                                • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                                                                • -
                                                                • Provide input and feedback to support continuous improvement in team processes
                                                                • -
                                                                • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                                                                • -
                                                                • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                                                                • -
                                                                -

                                                                Is this the right role for you?

                                                                -
                                                                  -
                                                                • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                                                                • -
                                                                • Comfortable working in a fast-paced environment and collaborative environment
                                                                • -
                                                                -

                                                                EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                                                                -

                                                                Go ahead and be yourself. We'll pay you for it!

                                                                -

                                                                We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                                                                -

                                                                Accommodation for Applicants will be made during the recruitment process when requested.

                                                                -

                                                                Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                                                                Qualifications

                                                                Skills

                                                                Behaviors

                                                                :

                                                                Motivations

                                                                :

                                                                Education

                                                                Experience

                                                                Licenses & Certifications

                                                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-02-04T21:38:30.459Z,False,0,19,59,https://talenthub.vectorinstitute.ai/jobs/183866325-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-01-05T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,Bachelors Degree,New Posting, -e3ddfba5-ea59-43c4-bee2-6c069fb1e562,154076345,CN,"Intern, Data Migration Analyst",on_site,"Ontario, Canada",2022-09-30T07:35:03.101Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration Analyst position in Montreal, Quebec for winter 2023 (January – April)

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Data Migration Analyst is responsible for collaborating with Data Migration to support the Systems, Applications and Products (SAP) business transformation that CN is currently undertaking. The incumbent performs data migration roadmap. The position carries out tasks related to the current data and data structures that constitute the new environment, including master and transactional data objects identification, data profiling and quality assessment, establish data cleansing strategies and their implementation, iterative data validation runs, and corrective actions prior to mock-ups and actual production migrations. The role contributes to the data enrichment activities and mapping as well as the transformations required to meet the updated business processes requirements, including mapping validation, troubleshooting, reconciliation prior to mock-ups, and actual production migrations.

                                                                -

                                                                Major Responsibilities

                                                                -

                                                                Data-related Tasks Associated to the As-Is Environment – 50%

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 166774

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                +

                                                                *** This is a 1 year contract ***

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                +

                                                                As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                                                +

                                                                +

                                                                Accountabilities

                                                                +

                                                                +

                                                                •Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                                                •Design highly efficient backend data mart to support frontend application
                                                                •Develop python based web application to support AML requirements
                                                                •Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                                                •Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                                                •Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                +

                                                                +

                                                                Skills / Experience

                                                                +

                                                                +

                                                                •Strong knowledge of python and SQL
                                                                •Familiarity with development within Linux environment
                                                                •Experieced in using python web application frameworks, like Dash, Flask, etc.
                                                                •Strong knowledge of data lifecycle for customer, account, and transactional data
                                                                •Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                                                •Familiarity with JavaScript, CSS, and HTML preferred

                                                                +

                                                                +

                                                                Education

                                                                +

                                                                +

                                                                •Bachelor's degree in computer science, engineering, or related fields
                                                                •AML knowledge or banking knowledge is an asset

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-05T14:51:00.000Z,False,0,11,45,https://talenthub.vectorinstitute.ai/jobs/164063817-data-engineer-data-management-aml-atf-models-and-analytics-1-year-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +ffe06fe2-8c7e-408c-a5fe-eb507753f16f,164063559,BMO Financial Group,"Audit Manager, Data Science",on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.821Z,"
                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

                                                                +

                                                                +

                                                                In this role you will apply your knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. You will use your strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups. You will drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                +

                                                                +

                                                                Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for

                                                                +

                                                                  -
                                                                • Support the data team in accomplishing tasks
                                                                • -
                                                                • Identify data objects and profile quality
                                                                • -
                                                                • Clean data object strategies and their implementation
                                                                • -
                                                                • Clean validation and implement corrective measures
                                                                • +
                                                                • Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
                                                                • +
                                                                • Automate analytics and author data pipelines via SQL and Python based ETL framework
                                                                • +
                                                                • Develop user interface for self-served analytics via Python and JavaScript based framework
                                                                • +
                                                                • Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
                                                                • +
                                                                • Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
                                                                • +
                                                                • Share and promote success stories relating to completed projects within audit
                                                                • +
                                                                • Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
                                                                • +
                                                                • Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
                                                                • +
                                                                • Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
                                                                • +
                                                                • Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise
                                                                -


                                                                -

                                                                Data-related Tasks Associated to the To-Be Environment – 50%

                                                                +

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • Identify data mapping and transformation requirements according to the business process re-engineering efforts
                                                                • -
                                                                • Sandbox assessment of data mapping and transformation methods as well as algorithms
                                                                • -
                                                                • Validate runs and implement corrective measures
                                                                • +
                                                                • Master’s degree or higher in a Quantitative or Technical field
                                                                • +
                                                                • Typically 5 - 7 years of experience
                                                                • +
                                                                • Solid understanding of statistical modeling and data science methods
                                                                • +
                                                                • Proficiency in SQL and Python
                                                                • +
                                                                • Experience with Unix/Linux shell
                                                                • +
                                                                • Experience working cross-functionally and communicating technical content to general audiences
                                                                -

                                                                Requirement

                                                                -

                                                                Education/Certification/Designation

                                                                -
                                                                • Bachelor’s Degree in Technical or Business fields with interest in data management, including business analysis and processes, Mathematics, Statistics, Data Science, and Engineering
                                                                -


                                                                -

                                                                Skills/Knowledge/Assets

                                                                +

                                                                +

                                                                Preferred Qualifications:

                                                                  -
                                                                • Interest in managing data, including its meaning, attributes, characteristics, and business value
                                                                • -
                                                                • Interest in business processes and how data interrelates with those processes
                                                                • -
                                                                • Applies critical thinking
                                                                • -
                                                                • Interest in identifying issues and applying resolution in complex data sets
                                                                • -
                                                                • Interest in handling data
                                                                • -
                                                                • Knowledge of Excel and other equivalent productivity tools
                                                                • -
                                                                • Evaluates data compliance with business rules such as quality metrics
                                                                • -
                                                                • Applies cleansing strategies, mapping, and transformation rules as well as analyze the outcome, determine, and apply corrective measures
                                                                • -
                                                                • Communicates with impact
                                                                • +
                                                                • Experience initiating and driving projects to completion with minimal guidance
                                                                • +
                                                                • Experience with web development
                                                                • +
                                                                • Experience with distributed computing and cloud services
                                                                • +
                                                                • Knowledge of SAS and R
                                                                • +
                                                                • Knowledge of agile methodology
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9043?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-18T17:37:00.000Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/154076345-intern-data-migration-analyst-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Masters Degree,New Posting, -2d05c8c3-0d56-4544-850e-be92a0b772a2,143494093,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2022-08-11T07:35:11.046Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Audit-Manager--Data-Science_R220029093?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-12-05T14:51:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/164063559-audit-manager-data-science-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +2075e55c-7db5-46b3-bcd9-34c53ecbb3eb,168114353,Shopify Inc.,"Senior Data Scientist - Merchant Services (Remote, North America)",on_site,"Ontario, Canada",2022-11-17T17:42:11.102Z,"

                                                                About the role

                                                                Data science is a crucial part of Shopify’s mission to make commerce better for everyone. We’re the only team able to talk to all of our merchants; we represent their voice here at Shopify. not only when we build for them, but when we figure out what to build and how to build it. This principally includes two types of work: building products directly backed by data (e.g. machine learning models), and listening to their voice to figure out what to build and how to build it.

                                                                +

                                                                Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                                                +

                                                                Team Specific Details:

                                                                +

                                                                Within Merchant Services, our job is to build superpowers that put small businesses on a level playing field with the largest e-commerce players.

                                                                +

                                                                As a Senior Data Scientist, you are expected to play a crucial role pushing forward product development. Senior Data Scientists do this by informing product strategy and execution, building a strong operating picture allowing us to move quickly, and/or improving underlying algorithms, heuristics and rules powering individual products. We expect a high degree of autonomy and proactivity.

                                                                +

                                                                Responsibilities:

                                                                +
                                                                  +
                                                                • Proactively identify and champion projects that solve critical problems for merchants

                                                                • +
                                                                • Partner closely with product, engineering and other business leaders to influence product and program decisions with data

                                                                • +
                                                                • Own the operating picture and use a strong analytical toolbox to highlight opportunities and guide execution

                                                                • +
                                                                • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

                                                                • +
                                                                • Influence leadership to drive more data-informed decisions

                                                                • +
                                                                • Define and advance best practices within data science and product teams

                                                                • +

                                                                Qualifications

                                                                  +
                                                                • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems

                                                                • +
                                                                • Proficiency in SQL and experience with software engineering fundamentals

                                                                • +
                                                                • Experience with applied statistics and general quantitative problem-solving

                                                                • +
                                                                • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders

                                                                • +
                                                                • Curiosity about the problem domain and an analytical approach

                                                                • +
                                                                • Strong sense of ownership and growth mindset

                                                                • +
                                                                +

                                                                +

                                                                Experience with one or more:

                                                                +
                                                                  +
                                                                • Deep understanding of advanced SQL techniques

                                                                • +
                                                                • Expertise with statistical techniques and their applications in business

                                                                • +
                                                                • Masterful data storytelling and strategic thinking

                                                                • +
                                                                • Deep understanding of dimensional modelling and scaling ETL pipelines

                                                                • +
                                                                • Experience launching productionized machine learning models at scale

                                                                • +
                                                                • Extensive domain experience in e-commerce, marketing or SaaS

                                                                • +
                                                                All your information will be kept confidential according to EEO guidelines.

                                                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                                                +

                                                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-merchant-services-remote-north-america_d546a99f-74cd-42a6-a4a5-22cbb2096510,feed-importer@jobboard.io,,,,2022-12-05T17:47:06.368Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/168114353-senior-data-scientist-merchant-services-remote-north-america-at-shopify-inc,,expired,2022-11-17T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +bd94e127-9df3-418c-9ccd-26ee7f1edd44,177791777,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-12-15T17:41:01.624Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                +

                                                                +

                                                                Job Description:

                                                                +

                                                                +

                                                                Role Summary

                                                                +

                                                                +

                                                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Canada for fall 2022 (September – December).

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

                                                                -

                                                                Major Responsibilities

                                                                +

                                                                Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                +

                                                                +

                                                                Sun Life views success in this role in demonstration of these key attributes:

                                                                +

                                                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
                                                                • -
                                                                • Publish research findings to ML conferences might be a possibility
                                                                • -
                                                                • Support Data Scientist and ML Developer on the design and development of ML Solutions
                                                                • -
                                                                • Translate the technology solution architecture into engineering and software development standards and specifications
                                                                • -
                                                                • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
                                                                • -
                                                                • Conduct code reviews and ensure coding standards
                                                                • +
                                                                • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                                                                • +
                                                                • Be able to work in cross functional teams to develop an ML/data science product

                                                                • +
                                                                • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                                                                • +
                                                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                                • +
                                                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                                • +
                                                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                                -

                                                                Requirements

                                                                  -
                                                                • Experience with Python, Shell, and other scripting languages
                                                                • -
                                                                • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
                                                                • -
                                                                • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
                                                                • -
                                                                • Applies critical thinking
                                                                • -
                                                                • Communicates with impact
                                                                • -
                                                                • Solves problems to create value
                                                                • -
                                                                • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
                                                                • +
                                                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                                • +
                                                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                                • +
                                                                • Champion and support diversity and inclusion

                                                                -

                                                                Education

                                                                -
                                                                • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                                                -

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                +

                                                                What will you need to succeed?

                                                                +
                                                                  +
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                                • +
                                                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                                • +
                                                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                                • +
                                                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                                • +
                                                                • Experience with AWS services including SageMaker

                                                                • +
                                                                • Experience with machine learning including supervised and unsupervised models

                                                                • +
                                                                • Demonstrated experience in data transformation & data manipulation

                                                                • +
                                                                • Experience working with Structured vs. Unstructured data

                                                                • +
                                                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                                                • +
                                                                • Effective and concise oral and written storytelling and insights communication skills

                                                                • +
                                                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                                • +
                                                                • Ability to document work and effectively prioritize documentation

                                                                • +
                                                                • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                                                • +

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8929?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-18T07:40:00.000Z,True,0,14,112,https://talenthub.vectorinstitute.ai/jobs/143494093-intern-data-scientist-computer-vision-at-cn,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -dacd2eb6-7b00-4c14-9dc3-68cca5a94ebe,84434811,Unity Health Toronto,Junior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-09-21T06:09:18.651Z,"

                                                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on machine learning applications in healthcare.

                                                                -

                                                                DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                                                -

                                                                As part of the data science team, the successful candidate will support Sr. Data Scientists in all stages of DSAA analytic projects. Responsibilities will include importing, manipulating and cleaning raw data, exploring and creating data summaries including data visualization and tabular reports. Additionally, the candidate will contribute to building and validating predictive models using analytical techniques such as time series analysis, multivariable regression analysis, and neural networks. Other responsibilities will include contributing to manuscripts and ethics applications, ad hoc report generation and support of data management activities, which may involve database validation, data review, and quality control. Data Scientists at the DSAA have areas of specialization within machine learning, simulation modeling, and/or biostatistics. The possible areas of specialization for this Data Scientist position are time series models, forecasting, graphical methods, Bayesian methods, and/or ML/ModelOps.

                                                                -

                                                                DUTIES & RESPONSIBILITIES:

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • Conducting analysis with basic supervised and unsupervised machine learning methods is an asset, including: Linear regression, logistic regression, GLM, penalized regression, SVM, random forest, xgboost, and neural networks
                                                                • -
                                                                • Perform descriptive and inferential statistical analysis in R and/or Python. Write HTML/PDF/Microsoft Word reports summarizing the analysis.
                                                                • -
                                                                • Validate output tables, listings or figures generated to ensure accuracy and reliability of analyses
                                                                • -
                                                                • Produce high quality ad hoc and standardized reports customized per project, using R/Python procedures, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives)
                                                                • -
                                                                • Develop efficient programs, algorithms, or systems to reduce programming time of standardized data analyses and reports
                                                                • -
                                                                • Assist with writing project protocols, including: data extraction, cleaning, predictive modelling, and validation plans
                                                                • -
                                                                • Write queries to extract data from the St. Michael’s Hospital Enterprise Data Warehouse (EDW)
                                                                • -
                                                                • Pre-process raw data to prepare for analysis. This includes cleaning and merging data from multiple sources, as well as understanding overall data quality.
                                                                • -
                                                                • Design and develop dashboards and reports with interactive visualizations using libraries like Highcharts, plotly, etc.
                                                                • +
                                                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                                • +
                                                                • Past experience working in Agile delivery model

                                                                • +
                                                                • Past experience in developing and deploying production grade model in cloud infrastructure

                                                                -

                                                                QUALIFICATIONS:

                                                                +

                                                                +

                                                                Unique Requirements

                                                                +

                                                                +

                                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                +

                                                                +

                                                                What\'s in it for you?

                                                                +

                                                                  -
                                                                • A Master's degree Computer Science, Statistics/Biostatics or related quantitative or informatics disciplines, with at least 1 year of relevant work experience (We will also consider other degrees and disciplines in conjunction with applied experience)
                                                                • -
                                                                • Expert level programming with either R (preferred) or Python is required
                                                                • -
                                                                • Experience working with and manipulating large datasets
                                                                • -
                                                                • Familiarity with databases such as: Netezza, SQL, Oracle, etc.
                                                                • -
                                                                • Familiarity with version control (git, Github, GitLab).
                                                                • -
                                                                • Experience writing reproducible reports using R Markdown (preferred) and/or Jupyter Notebooks
                                                                • -
                                                                • A deep understanding and experience with classical hypothesis testing, regression and classification tasks using generalized linear models, penalized regression, decision tree learning, random forest, support vector machines
                                                                • -
                                                                • Experience with time series modeling approaches, such as ARIMA, state space modeling, feed forward and recurrent neural networks is an asset.
                                                                • -
                                                                • Experience with graphical methods would be an asset
                                                                • -
                                                                • Experience with Bayesian methods would be an asset
                                                                • -
                                                                • Experience with ML/ModelOps would be an asset
                                                                • -
                                                                • Experience in healthcare is an asset
                                                                • -
                                                                • Demonstrated ability to manage statistical programming activities
                                                                • -
                                                                • Proficient with MS Office software (Word, Excel, PowerPoint, Outlook, etc.)
                                                                • -
                                                                • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website)
                                                                • +
                                                                • Remote/ Hybrid Work environment

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • 20 days vacation per year and an innovative sabbatical program

                                                                • +
                                                                • A friendly, collaborative and inclusive culture

                                                                • +
                                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                • +
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                -

                                                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists.

                                                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=884265,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-10-14T17:41:00.000Z,False,0,30,201,https://talenthub.vectorinstitute.ai/jobs/84434811-junior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-09-21T06:09:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, -f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,on_site,"Toronto, ON",2022-11-15T17:24:03.573Z,"
                                                                +

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                +

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                80,000/80 000 - 130,400/130 400

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                15/01/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00073206-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-14T20:41:46.116Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/177791777-senior-data-scientist-at-sun-life-financial,,expired,2022-12-15T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d54cd684-b80e-4d00-af8d-7886a742f200,183865713,Scotiabank,"Manager, Enterprise Growth Marketing & Strategy - Personalization",on_site,Canada : Ontario : Toronto,2023-01-05T17:22:04.330Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 167276

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                As a Manager, Enterprise Growth Marketing & Strategy - Personalization, you will collaborate with Product Marketing, Analytics, Paid Media and Journey Management teams to identify data-driven insights and help define marketing audience strategies. You will own audience development, strategy, execution and measurement from end-to-end to enable a customer-centric journey. Also, you will play a key role in delivering against marketing KPIs.

                                                                Responsibilities

                                                                • Provide thought leadership and strategy on the use of audience data and insights
                                                                • Work with stakeholders across multiple business lines to determine opportunities for personalization strategies across acquisition, engagement and retargeting to impact overall companies performance
                                                                • Provide support for audience creation and activation on media platforms for various campaigns
                                                                • You will possess strong analytic skills, problem solving skills combined with deep technical knowledge with advertising platforms
                                                                • Collaborate with Paid Media team to create and deliver results-driven online advertising campaigns as part of overall digital marketing strategy
                                                                • Collaborate with data analytics partners to identify data opportunities for segmentation, data modeling and reporting
                                                                • Support and plan roadmaps to prepare business lines for cookie deprecation
                                                                • Bring in new ideas around segmentation leveraging data internally and through data partnerships
                                                                • Be proactive in audience creation and optimization initiatives
                                                                • Experience delivering complex technical content to large groups
                                                                • Experience in creating compelling data-driven presentations

                                                                Qualification

                                                                • 5 years of experience leading audience strategy
                                                                • Experience using Adobe Audience Manager or any other DMPs
                                                                • Strong knowledge of digital landscape, digital marketing strategies and tactics
                                                                • Experience working with media buying digital platforms i.e. DV360, Meta, Pinterest and Amazon as a few
                                                                • Strong knowledge in analytics platform and audience insights platform i.e. Adobe Analytics, Google Analytics, Environics, Google Trends
                                                                • Have knowledge around CRM data and behavioural data attributes (1st, 2nd and 3rd party)
                                                                • Experience activating audience segments across advertising platforms
                                                                • Team player and quick learner
                                                                • Experience in communicating strategy and briefs to multiple stakeholders
                                                                • Strong written and oral communication skills

                                                                Nice to Have
                                                                • Experience working with Customer Data Platform
                                                                • Ability to work with raw data using R, Python or SQL
                                                                • Experience working with Google Cloud platform

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:42:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/183865713-manager-enterprise-growth-marketing-strategy-personalization-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,expired,2023-01-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a6c6d19b-a08e-4791-8ab3-b180ccedf644,183865770,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-01-05T17:24:03.340Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -48669,446 +48380,394 @@ f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,o

                                                                Department Overview

                                                                -
                                                                -

                                                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                                                -

                                                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                                                -

                                                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                                                -
                                                                +

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                Job Description

                                                                -

                                                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                                                -

                                                                As a Senior Business Information Management Analyst, you will:

                                                                -

                                                                · Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas

                                                                -

                                                                · Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs

                                                                -

                                                                · Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)

                                                                -

                                                                · Develop business requirements; design and implement complex business data information management frameworks

                                                                -

                                                                · Apply automation and innovation on data platforms and on new development projects / initiatives

                                                                -

                                                                · Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers

                                                                -

                                                                · Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery

                                                                -

                                                                · Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                                                +

                                                                About this Role

                                                                +

                                                                As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                +

                                                                Must-Have

                                                                +
                                                                  +
                                                                • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                • +
                                                                • Experience with building and scaling data-intensive software in Python
                                                                • +
                                                                • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                • +
                                                                • Experience building and manage a machine learning data pipeline
                                                                • +
                                                                • You value good software design and sweat over details in code and API design
                                                                • +
                                                                • You enjoy learning new technology and educating others
                                                                • +
                                                                • You strive to communicate clearly and with empathy
                                                                • +
                                                                • You take great personal pride in building robust and scalable software
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • +
                                                                +

                                                                Nice to have:

                                                                +
                                                                  +
                                                                • Experience building a library or a framework
                                                                • +
                                                                • Knowledge of machine learning algorithms
                                                                • +
                                                                • Experience with Azure cloud stack
                                                                • +
                                                                • Data analytics
                                                                • +
                                                                • Knowledge with C++
                                                                • +
                                                                • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                • +

                                                                Requirements

                                                                -

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                -

                                                                · Undergraduate degree or technical certificate in Computer Science, Computer Engineering or related field

                                                                -

                                                                · Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background

                                                                -

                                                                · Proficient Knowledge in data management tools such as SQL Server, SSIS

                                                                -

                                                                · Experience in data modeling and knowledge in data warehousing methodologies

                                                                -

                                                                · Adept in SQL / T-SQL, and performance tuning

                                                                -

                                                                · Extensive ETL experience

                                                                -

                                                                · Experience in cloud computing (Azure) and Big Data would be an asset

                                                                -

                                                                · Advanced analytical and problem-solving skills

                                                                -

                                                                · In-depth knowledge of competitor and market trends

                                                                -

                                                                · Proficient to analyze, organize and prioritize work while meeting multiple deadlines

                                                                -

                                                                · Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions

                                                                -

                                                                · Act as a brand champion for our business area / function and TD, both internally and externally

                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • University or post-graduate degree
                                                                • +
                                                                • Strong academic background (e.g., computer science, engineering)
                                                                • +
                                                                • 2+ years relevant experience
                                                                • +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist
                                                                +

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-17T17:29:03.786Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/167454774-sr-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7781bb6c-8ac7-4118-93cd-63bc266d2c83,164063556,BMO Financial Group,Model Ops & Data Engineer,on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.294Z,"
                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Who We Are:

                                                                -

                                                                BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:45:00.000Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/183865770-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +84588dae-1319-41c8-8fe4-692913414a7a,181831458,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Markham, ON",2022-12-29T17:24:02.649Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                                                +

                                                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                                                +

                                                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                                                +

                                                                -

                                                                What You’ll Do

                                                                -

                                                                You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                                                +

                                                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                                                +

                                                                As a Senior Business Information Management Analyst, you will:

                                                                  -
                                                                • Locate data sources and demystify data contents
                                                                • -
                                                                • Become the expert on the data sourced and used in the ML operations
                                                                • -
                                                                • Establish robust pipelines for data used in the execution of ML and Analytics programs
                                                                • -
                                                                • Ensure production behavioral scores and business metrics values align with expectations
                                                                • -
                                                                • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                                                                • -
                                                                • Clarify key business metrics. Code and implement these metrics at scale
                                                                • -
                                                                • Prepare modeling master data sets in collaboration with data scientists
                                                                • -
                                                                • Create insights and visualizations which answer high impact business questions
                                                                • -
                                                                • Prepare model validation documentation
                                                                • +
                                                                • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas
                                                                • +
                                                                • Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs
                                                                • +
                                                                • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                                                • +
                                                                • Develop business requirements; design and implement complex business data information management frameworks
                                                                • +
                                                                • Apply automation and innovation on data platforms and on new development projects / initiatives
                                                                • +
                                                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                                                • +
                                                                • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                                                                • +
                                                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                                                +

                                                                -

                                                                Qualifications

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                                                                • -
                                                                • Experience impacting business transformation with data
                                                                • -
                                                                • Proven experience building data pipelines in production for advanced analytics use cases
                                                                • -
                                                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                                                • -
                                                                • Proven ability to write clean, maintainable, scalable, and production ready code
                                                                • -
                                                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                                                • -
                                                                • Strong proficiency with SQL and its variations among different databases
                                                                • -
                                                                • Skilled at optimizing large and complicated SQL statements
                                                                • -
                                                                • 2+ years production development experience
                                                                • -
                                                                • 3+ years of relevant work experience as a Data Operations Engineer
                                                                • -
                                                                • 3+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                                                                • -
                                                                • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                                                                • -
                                                                • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                                                                • -
                                                                • Degree in computer science, engineering, mathematics, or equivalent work experience
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                                                • +
                                                                • Sound conceptual knowledge in your area of specialty
                                                                • +
                                                                • Fluent in one or two programming languages
                                                                • +
                                                                • Advanced analytical and problem-solving skills
                                                                • +
                                                                • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                                                • +
                                                                • In-depth knowledge of competitor and market trends
                                                                • +
                                                                • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                                                • +
                                                                • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                                                • +
                                                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                                                • +
                                                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #dataengineer

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-17T17:17:03.728Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/164063556-model-ops-data-engineer-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -d3cdb0c0-450c-459a-8177-1edc07624849,164063747,Thomson Reuters,Senior Data Engineer – News Technology,on_site,"Toronto, ON, Canada",2022-11-07T17:19:03.476Z,"
                                                                -

                                                                Sr. Data Engineer, News Technology

                                                                -

                                                                The Reuters News technology team supports Reuters’ journalists throughout the News production lifecycle - from discovery of newsworthy events to researching the story to publication, and all that at the speed of light in an increasingly competitive landscape. We are working to improve Reuters editorial news production and automation, and we are seeking an experienced and motivated engineer in Toronto, to help deliver this game-changing platform. Do you want to learn what drives news, and learn about the depth and breadth of Thomson Reuters\' content? Come join us!

                                                                -

                                                                About the Role

                                                                -

                                                                As a Sr. Data Engineer joining our team, you will be responsible to:

                                                                -
                                                                  -
                                                                • -Design and Develop data warehousing functionality including the use and management of Snowflake data warehouse, pipelines and monitoring, in partnership with Data Analysts and Architects.
                                                                • -
                                                                • -Design and Develop migration of data warehouses and reports from SQL Server ecosystem to Snowflake and PowerBI.
                                                                • -
                                                                • -Innovate with new approaches to meeting data management requirements for Reuters Data Platform. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
                                                                • -
                                                                • -Partner across the company with analytics teams, engineering managers, architecture teams and data scientists to design and agree on solutions that meet business requirements.
                                                                • -
                                                                • -Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.
                                                                • -
                                                                -

                                                                About You

                                                                -

                                                                You’re a fit for the role of Sr. Data Engineer if your background includes:

                                                                -
                                                                  -
                                                                • Minimum bachelor’s degree in computer science and engineering or related field of study, or equivalent experience
                                                                • -
                                                                • 5+ yrs in database/data warehousing/ETL/BI software stack development.
                                                                • -
                                                                • In-depth experience with:
                                                                  - Data warehousing, analysis and reporting technologies like SQL Server Analysis Services, Reporting Services, Tableau, Power BI, Qlik.
                                                                  - ETL looks like AWS Glue, integrate.io, Talend, SQL Server Integration Services
                                                                  - Relational databases (SQL Server, PostgreSQL, Oracle)
                                                                • -
                                                                -


                                                                Desired:

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-18T17:29:06.466Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831458-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +5ba101ec-ee95-49e1-8d7b-6418c9af2738,183877268,Unity Health Toronto,Data Engineer ,on_site,"Toronto, ON, Canada",2023-01-05T18:37:55.982Z,"

                                                                NOTE: Position is hybrid: 1-2 days in office, the rest of week days remote

                                                                +

                                                                Unity Health Toronto, comprised of Providence Healthcare, St. Joseph’s Health Centre and St. Michael’s Hospital, works to advance the health of everyone in our urban communities and beyond. Our health network serves patients, residents and clients across the full spectrum of care, spanning primary care, secondary community care, tertiary and quaternary care services to post-acute through rehabilitation, palliative care and long-term care, while investing in world-class research and education. Join our team in our mission to continue to put patients and families at the centre of everything we do, in the role of Data Engineer Data Science & Advanced Analytics.

                                                                +

                                                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is an advanced healthcare data analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate data-driven insights so clinicians and management can make better decisions, increase hospital efficiency, and improve patient care.

                                                                +

                                                                The role of the data engineer is to extract, transform and load data from source systems (EHRs, administrative databases, registries, etc) into repositories or pipelines so that the data can be used for analytics (reporting, business intelligence, statistical modeling, machine learning, etc). The scope of this role is end-to-end, such that it includes all activities from requirements gathering and database analysis, to pipeline design and programming, to ongoing QA and maintenance of data pipelines and target data systems.

                                                                +

                                                                Duties and Responsibilities

                                                                  -
                                                                • Hands-on experience working with AWS ecosystem
                                                                • -
                                                                • Hands-on experience with modern data warehouses like Snowflake, Redshift, Google BigQuery.
                                                                • +
                                                                • Engages with stakeholders and data scientists to understand their analytic/research/business needs, and work collaboratively with them to develop and validate concrete business requirements for data pipeline design
                                                                • +
                                                                • Documents business requirements as required
                                                                • +
                                                                • Carries out analysis of source system databases to discover the structure, flows, functions, and interdependencies of data within the system using custom written SQL scripts or an enterprise tool (eg. Data Virtuality Studio).
                                                                • +
                                                                • Documents findings and presents to the stakeholders and data scientists.
                                                                • +
                                                                • Based on requirements and analysis findings, conducts detailed interviews with subject matter experts and data scientists to inform the design of a logical pipeline model
                                                                • +
                                                                • Documents data pipeline model using mock-up or partial outputs as appropriate, and validates with stakeholders and data scientists
                                                                • +
                                                                • Constructs and automates the data pipeline from validated model
                                                                • +
                                                                • For data streams, utilizes HL7/FIHR or other appropriate messaging standard to create a messaging stream, listener and queuing solutions
                                                                • +
                                                                • Designs and implements robust error and exception handling procedures
                                                                • +
                                                                • Documents data pipeline architecture
                                                                • +
                                                                • Routinely monitors system logs/alerts for error and exception detection
                                                                • +
                                                                • Manually runs jobs/restarts pipelines when automation fails
                                                                • +
                                                                • Maintains an ongoing quality assurance to correct for data drift
                                                                • +
                                                                • Collaborates with IT Security team to monitor and protect pipelines against data leakage
                                                                • +
                                                                • Patches/updates data pipeline software, scripting tools, etc as needed
                                                                • +
                                                                • Routinely monitors data pipeline health and optimizes code when necessary
                                                                • +
                                                                • Is responsible for ongoing cultivation of new skills and knowledge in their area
                                                                • +
                                                                • Stays abreast of industry trends and best practices, via webinars, blogs, conferences, etc.
                                                                • +
                                                                • Curates and shares this knowledge with the rest of the Data Integration and Governance team to ensure the team remains at the cutting edge of digital health
                                                                -

                                                                What’s in it For You?

                                                                +

                                                                QUALIFICATIONS

                                                                  -
                                                                • -COVID-19 Response: Currently, as part of our COVID-19 a majority of our employees are working remotely and following local COVID-19 bylaws and guidelines, with the majority of our offices planning to embrace a hybrid work environment consisting of in-office and remote work in 2022.
                                                                • -
                                                                • -Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
                                                                • -
                                                                • -Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: work form anywhere (in country); caregiver paid time off, bereavement leave; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
                                                                • -
                                                                • -Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking
                                                                • -
                                                                • -Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
                                                                • -
                                                                • -Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
                                                                • +
                                                                • Completion of a relevant Information Technology Bachelor’s Degree program in related field, or recognized equivalent combination of work experience and education required
                                                                • +
                                                                • Extensive knowledge in the design and development of data pipelines required;
                                                                • +
                                                                • Mastery of SQL as well as at least one of either R or Python required;
                                                                • +
                                                                • Working knowledge of different database systems (MS SQL Server, Oracle, Netezza etc) preferred;
                                                                • +
                                                                • Experience designing and running testing scenarios required;
                                                                • +
                                                                • Strong interpersonal skills required;
                                                                • +
                                                                • Familiarity with cloud architecture (AWS, Azure, GCP, etc.) preferred;
                                                                • +
                                                                • Working knowledge of Kafka, Storm, Spark and similar distributed computational tools preferred;
                                                                • +
                                                                • Knowledge on Linux commands and Shell scripts required;
                                                                • +
                                                                • Good knowledge of data warehouse concepts and experience with BI/DW concepts e.g., facts, dimension, star/snowflake schema structures, 3NF modeling, etc., required;
                                                                • +
                                                                • Strong working knowledge of Microsoft Office products, e.g., Excel, PowerPoint, Word, Visio required;
                                                                • +
                                                                • Strong analytical and technical design skills required;
                                                                • +
                                                                • Working knowledge of Git preferred;
                                                                • +
                                                                • Experience working in a healthcare business environment preferred;
                                                                • +
                                                                • Good judgment and understanding of what issues to escalate, resolve on your own, making suggestions for possible resolution required;
                                                                • +
                                                                • Ability to learn new technology expediently required;
                                                                • +
                                                                • Ability to lead or participate in business meetings to capture requirements, provide status updates and document the requirements required;
                                                                • +
                                                                • Ability to maintain responsibility for all aspects of pipeline development, automation and improvements/operations for a project required;
                                                                • +
                                                                • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration and adaptability are important required;
                                                                • +
                                                                • Results oriented with the ability to manage multiple assignments simultaneously while ensuring commitments are met required.
                                                                +

                                                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. Please note, if you are extended an offer of employment, you will be required to provide proof of vaccination in Ontario QR Code format. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy.

                                                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=912248,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2023-02-03T00:44:00.000Z,True,0,33,145,https://talenthub.vectorinstitute.ai/jobs/183877268-data-engineer-at-unity-health-toronto,,expired,2023-01-05T18:37:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +b5cc0a09-f2e2-402a-8d6a-ff59aa607cc0,189569804,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-23T17:24:02.344Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                #LI-SS2

                                                                -

                                                                -

                                                                -

                                                                Canada COVID-19 Vaccination Requirement

                                                                -

                                                                -

                                                                Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                                -

                                                                -

                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                -

                                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                +

                                                                Department Overview

                                                                +
                                                                +The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.

                                                                -

                                                                Accessibility

                                                                +

                                                                Job Description

                                                                +
                                                                +The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

                                                                +
                                                                  +
                                                                • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
                                                                • +
                                                                • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
                                                                • +
                                                                • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
                                                                • +
                                                                • Perform system release review and follow version control process for trading and risk systems
                                                                • +
                                                                • Provide quantitative support to business partners on key TDS projects and initiatives
                                                                • +
                                                                • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank
                                                                • +
                                                                +

                                                                -

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
                                                                • +
                                                                • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
                                                                • +
                                                                • Excellent written and verbal communication skills
                                                                • +
                                                                • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
                                                                • +
                                                                • Good computational and programming knowledge
                                                                • +
                                                                • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
                                                                • +
                                                                • Previous working experience in Model Development, Model Validation or related quantitative role
                                                                • +

                                                                -

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                -
                                                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Data-Engineer---News-Technology_JREQ159796?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-11-15T17:24:02.537Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164063747-senior-data-engineer-news-technology-at-thomson-reuters,,expired,2022-11-07T17:19:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -20526af9-1b48-49b6-a4e3-103a622aa558,156497853,TELUS,Senior Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-10-13T17:28:13.951Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -

                                                                -

                                                                Join our team

                                                                -

                                                                -

                                                                The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                                                -

                                                                -

                                                                We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                                                -

                                                                -

                                                                Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                                                -

                                                                -

                                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                                -

                                                                -

                                                                As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                                                -

                                                                -

                                                                As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                                                -

                                                                -

                                                                You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                                                -

                                                                -

                                                                Here\'s how

                                                                -

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/189569804-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d77175be-bbdc-4938-938c-06bf7169cd97,189567849,Google,"Technical Sales Specialist, Infrastructure Modernization, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.022Z,"
                                                                +
                                                                +2022-12-15T22:30:57.429Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Technical Sales Specialist, Infrastructure Modernization, Google Cloud

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Toronto, ON, Canada +
                                                                • +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                  -
                                                                • Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging PySPARK, Python, SQL, etc
                                                                • -
                                                                • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
                                                                • -
                                                                • Present customer insights to cross-functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
                                                                • -
                                                                • Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                                                • -
                                                                • Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community
                                                                • -
                                                                • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
                                                                • +
                                                                • Bachelor’s degree or equivalent practical experience.
                                                                • +
                                                                • 6 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                                                • +
                                                                • Experience in performing technical presentations or public speaking.
                                                                • +
                                                                • Experience with workload migrations, analyzing factors such as scalability, disaster recovery, and high availability.
                                                                -

                                                                -

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                -

                                                                Must haves

                                                                -

                                                                +

                                                                Preferred qualifications:

                                                                  -
                                                                • Technical Expertise
                                                                    -
                                                                  • Extensive Hands-on and industry experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                                                  • -
                                                                  • Extensive Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
                                                                  • -
                                                                  • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications
                                                                  • -
                                                                  • Experience with Data Visualization tools like Domo/Tableau
                                                                  • -
                                                                  • Strong Quantitative, analytical and problem solving skills
                                                                  • -
                                                                  • 8+ years of progressive and relevant work experience
                                                                  • -
                                                                  -
                                                                • -
                                                                • Business Orientation
                                                                    -
                                                                  • Good business acumen, relationship management and influencing without authority skills
                                                                  • -
                                                                  • Ability to provide actionable recommendations based on data analysis
                                                                  • -
                                                                  • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                                                  • -
                                                                  • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                                                  • -
                                                                  +
                                                                • Master\'s degree in Computer Science or a related field.
                                                                • -
                                                                • Education
                                                                  • Masters/PhD degree in Computer Science Engineering/ Programming/ Statistics/Analytics
                                                                  +
                                                                • Experience with legacy and modern application development, cloud service delivery, and deployment.
                                                                  +
                                                                • +
                                                                • Experience with application development technologies, architecting, and developing software or infrastructure for scalable and secure distributed systems.
                                                                  +
                                                                • +
                                                                • Experience with Relational Databases, NoSQL Databases, Big Data technologies, and containers.
                                                                  +
                                                                • +
                                                                • Understanding of IaaS, PaaS, FaaS (XaaS).
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                -
                                                                  -
                                                                • Telecom industry experience
                                                                • -
                                                                • Working experience with Google Cloud Platform
                                                                • -
                                                                -

                                                                -

                                                                Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills, which will make you successful in this role and apply!

                                                                -

                                                                -

                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                                +

                                                                As a Technical Specialist, you will work with the Sales team to introduce Google Cloud to our customers. You will help prospective, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, and problem-solve any potential technical roadblocks.

                                                                +

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Work to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
                                                                • +
                                                                • Manage technical relationships with Google’s customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
                                                                • +
                                                                • Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
                                                                • +
                                                                • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
                                                                • +
                                                                • Travel to customer sites, conferences, and other related events.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/78444987743642310-technical-sales-specialist-infrastructure-modernization-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-02T17:25:02.034Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/189567849-technical-sales-specialist-infrastructure-modernization-google-cloud-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +330bdd1c-afa2-4b62-b35b-d627f7186e3c,191127598,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.939Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-%E2%80%8BSenior-Data-Scientist-C360-Insights-Team-ON/562150417/,feed-importer@jobboard.io,,,,2022-11-16T14:08:47.623Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/156497853-senior-data-scientist-c360-insights-team-at-telus,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, -7e2161b7-d2cf-4f5e-9a69-f1b38286f867,156497810,Omers,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-10-13T17:28:07.182Z,"
                                                                OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

                                                                -

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                -
                                                                  -
                                                                • Interpreting data, analyze results using statistical techniques and provide regular, timely, accurate reports and dashboards
                                                                • -
                                                                • Gathering business requirements and documentation following Agile Practices
                                                                • -
                                                                • Work with Product Managers and Stakeholders to prioritize business data needs
                                                                • -
                                                                • Locate and define new process improvement opportunities
                                                                • -
                                                                • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                                                • -
                                                                • Understand and communicate complex business concerns and solutions in clear and concise manner
                                                                • -
                                                                • Identify, analyze, and interpret trends or patterns in complex data sets
                                                                • -
                                                                • Filter and clean data as part of each development initiative
                                                                • -
                                                                • Develop Power BI semantic models, dashboards and reports
                                                                • -
                                                                -

                                                                -

                                                                To succeed in this role, you have:

                                                                -
                                                                  -
                                                                • Must have 5+ years of Hands on experience with Data Modeling, Power BI desktop, Power Query, Azure Data Factory and Azure SQL Server
                                                                • -
                                                                • Must have experience working with one or more programming, scripting, and analytical languages such as DAX, MDX, T-SQL, Python, PowerShell
                                                                • -
                                                                • Must have experience building semantic data modeling and publish datasets accordingly
                                                                • -
                                                                • Understanding row level, object level security rules and roles in projects and workspaces is an asset.
                                                                • -
                                                                • Experience working with Power BI external tools such as Tabular Editor, DAX studio and Vertipaq Analyzer is an asset.
                                                                • -
                                                                • Good Understanding of Data Warehouse concepts
                                                                • -
                                                                • Ability to design and build reports, dashboards, data visualizations and analytics using Power BI
                                                                • -
                                                                • Ability to write complex queries using SQL.
                                                                • -
                                                                • Proven Hands on experience with Azure DevOps deployment Pipelines.
                                                                • -
                                                                • Good Knowledge and understanding of Data Governance and Security Measures.
                                                                • -
                                                                • Experience with SSIS is an asset
                                                                • -
                                                                • Good hands on experience working with streaming data.
                                                                • -
                                                                • Have experience in Analyzing the BI needs, interpreting business user requirements and translating them into reports.
                                                                • -
                                                                • Knowledge of statistics and experience using statistical packages for analyzing datasets.
                                                                • -
                                                                • Strong analytical skills with the ability to collect, organize, analyze, and visualize the data.
                                                                • -
                                                                • Strong written and verbal communication skills
                                                                • -
                                                                • Ability to handle multiple tasks concurrently
                                                                • -
                                                                • Ability to take initiative, multi-task and work in an agile environment
                                                                • -
                                                                • A team player and motivated self-starter
                                                                • -
                                                                • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -

                                                                -

                                                                -

                                                                Vaccination Policy

                                                                -

                                                                -

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Analyst_JR-3169-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-16T14:03:31.579Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/156497810-senior-data-analyst-powerbi-at-omers,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -77efad39-3386-42d5-8a80-5445110732a0,157319824,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2022-10-17T15:06:50.775Z,"

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                                                -

                                                                As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                                                -

                                                                Must-Have

                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                TD’s Corporate Defense Group (CDG) is seeking a Senior Business Insights Analyst to join their Data, Analytics and Reporting (DAR) team. This senior analyst will be instrumental in delivering analytic products to the internal clients we serve: Fraud Risk Management, Global Security & Investigations (GSI), Global Privacy and Enterprise Insider Risk Program (EIRP). The teams supported represent unique businesses that span both 1st and 2nd line responsibilities within the 3 Lines of Defense model of risk management and have immense synergies and an overall united goal of protecting the bank. The ideal candidate will be able to bridge the gap between fraud risk management and analytical expertise.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                This individual will primarily support the IM program, along with broader CDG DAR initiatives in an auxiliary capacity. Mainly responsible for identifying and escalating enterprise-wide findings to stakeholders and various risk committees by using a variety of analytics tools to detect and prevent internal and external fraudulent activity. And coordinate with business partners (Internal Audit, Compliance, Operational Risk Management, FRM, etc) to monitor fraud risk through data analysis and visual reporting. Ensure compliance with established fraud risk policies and procedures required by regulators, supporting comprehensive fraud risk management frameworks in the US and Canada.

                                                                +

                                                                Key Responsibilities:

                                                                  -
                                                                • Experience with building and scaling data-intensive software in Java
                                                                • -
                                                                • You value good software design and sweat over details in code and API design
                                                                • -
                                                                • Knowledge of machine learning modelling workflow
                                                                • -
                                                                • You enjoy learning new technology and also educating others
                                                                • -
                                                                • You strive to communicate clearly and with empathy
                                                                • -
                                                                • You take great personal pride in building robust and scalable software
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • +
                                                                • Desire and tenacity to learn new skills and adapt to new challenges that have a steep learning curve, and are a self-starter that pro-actively tackles problems and deliver end to end data products independently
                                                                • +
                                                                • Proactively assists in the oversight of a Fraud Risk Management Issues Management Program to provide “value-added” insights in the form of analysis, interpretation of emerging and/or changing fraud risk and related control opportunities and enhancements
                                                                • +
                                                                • Conduct analysis by applying statistical methods, and effectively communicate results through illustrative visualizations to our stakeholders and senior management
                                                                • +
                                                                • Validate the quality and integrity of the data being analyzed and reported
                                                                • +
                                                                • Collaborates with business stakeholders, control and governance partners to support Data management efforts and maintain detailed documentation
                                                                +

                                                                -

                                                                Nice to have

                                                                -
                                                                  -
                                                                • Experience building a library or a framework
                                                                • -
                                                                • Knowledge of machine learning algorithms
                                                                • -
                                                                • Experience with Kubernetes
                                                                • -
                                                                • Data analytics
                                                                • -
                                                                • Comfortable with math or statistics
                                                                • -
                                                                ",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,careers@layer6.ai,https://layer6.ai/careers/,,,2022-11-16T15:06:53.778Z,False,0,5,52,https://talenthub.vectorinstitute.ai/jobs/157319824-machine-learning-engineer-framework-at-layer-6,,expired,2022-10-17T15:06:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -cd386386-0a89-4e0a-8545-66b2720598fb,109607350,Bell Canada,"Developer, Data Science, Bell Media",on_site,"Toronto, Ontario",2022-02-18T14:18:29.847Z,"

                                                                Req Id: 350091

                                                                -

                                                                -

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.

                                                                -

                                                                -

                                                                If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team.

                                                                -

                                                                The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

                                                                -

                                                                -

                                                                About the team:

                                                                -

                                                                Bell Media’s Data Science and Infrastructure team is building out the next generation of experience for customers across Digital and Linear properties. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive performance enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                -

                                                                -

                                                                Bell Media’s Data Science & Infrastructure team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions.

                                                                -

                                                                -

                                                                We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization. They will report to Senior Manager, Data Science & Product Intelligence and will play a key role in developing AI/ML products across Bell Media.

                                                                -

                                                                -

                                                                Key Responsibilities:

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Undergraduate or graduate degree in quantitative discipline such as management analytics, computer engineering, computer science, mathematics, physics, economics
                                                                • +
                                                                • 3-5 years relevant working experience with preferred understanding of fraud, risk assessment, and/or other risk management processes to identify and monitor fraud risks within the organization and providing oversight and appropriate resolution to the business.
                                                                • +
                                                                • Experience and knowledge with industry data tools, including Tableau, Python, SQL, and/or Cloud experience.
                                                                • +
                                                                • Excel and PowerPoint – Strong proficiency with Excel and the ability to draft storyboards and execute narratives in PPT common in advisory or consultancy roles is also valued
                                                                • +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                Successful candidates will be asked to complete a small case study over the period of a few days.
                                                                Feel free to attach professional or personal work that showcase your abilities.
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/191127598-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +51cc0365-dcc1-46a8-ac01-af84bd3dcb69,189569808,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-01-23T17:24:02.622Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                +

                                                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                +

                                                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                                                +

                                                                Job Description
                                                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                                                +

                                                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                                                +

                                                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                                                +

                                                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                                                +

                                                                Responsibilities

                                                                  -
                                                                • Support the cycle of machine learning product development from inception to launch to monitoring
                                                                • -
                                                                • Collaborate with cross-functional, agile teams of data engineers, ML engineers, and product managers in solving business problems
                                                                • -
                                                                • Build, automate, and maintain machine learning pipelines for training machine learning models cloud systems
                                                                • -
                                                                • Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
                                                                • +
                                                                • Design / execute / measure high impact direct to consumer marketing experiments
                                                                • +
                                                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                                                • +
                                                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                                                • +
                                                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                                                • +
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • +
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • +
                                                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship
                                                                -

                                                                -

                                                                Minimum Qualifications:

                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                Skill Sets

                                                                  -
                                                                • Proven track record of continuous learning
                                                                • -
                                                                • Intermediate knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                                                                • -
                                                                • 3-5+ Years Python for data science experience
                                                                • -
                                                                • Hands-on experience with popular AI/ML frameworks
                                                                • -
                                                                • Intermediate Python development skills with solid understanding of code design, algorithms, and data Structures
                                                                • -
                                                                • Experience with SQL and database systems
                                                                • +
                                                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                • +
                                                                • Technical and detail oriented
                                                                • +
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                                                • +
                                                                • A project management mindset to help deliver on time to specifications
                                                                • +
                                                                • Team player while able to work independently
                                                                • +
                                                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                                                • +
                                                                • A profit driven mindset
                                                                -

                                                                -

                                                                Preferred Qualifications:

                                                                +

                                                                Qualifications

                                                                  -
                                                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
                                                                • -
                                                                • Skilled communicator with a proven record of leading projects across disciplines
                                                                • -
                                                                • Experience with CI/CD pipelines
                                                                • -
                                                                • Experience with development and deployment ML Models
                                                                • -
                                                                • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
                                                                • -
                                                                • Experience with distributed data and cloud computing resources such as AWS, GCP
                                                                • +
                                                                • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                                                • +
                                                                • Significant experience with IBM Campaign (Unica) an asset
                                                                • +
                                                                • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                                                • +
                                                                • Knowledge of Python, Azure, Databricks, Hadoop
                                                                • +
                                                                • Experience designing successful direct marketing experiments
                                                                • +
                                                                • Degree in business, science, statistics, engineering, or other quantitative discipline
                                                                • +
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                +
                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/189569808-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d7e521a7-b924-4c3b-8f3b-f67703ce825d,189568980,Scotiabank,Manager Credit Risk Provisions and Analytics - Contract,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.213Z,"

                                                                -

                                                                NOTE: There are 2 openings available - one will be full-time permanent, one will be full-time temporary (contract of 12 months). Please indicate in your application if you are interested in being considered for one or both employment types.

                                                                -

                                                                -

                                                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                                -

                                                                -

                                                                Additional Information:

                                                                -

                                                                Position Type: Management
                                                                Job Status: Regular - Full Time
                                                                Job Location: Canada : Ontario : Toronto

                                                                -

                                                                Flexible work profile: Mobile
                                                                Application Deadline: 02/18/2022

                                                                -

                                                                -

                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                -

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                Requisition ID: 169609

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                Purpose:

                                                                +


                                                                Contributes to the overall success of the Credit Risk Provisions and Analytics / GRM globally, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                                                +

                                                                The Manager takes initiatives to evaluate and improve the Current Expected Credit Loss (CECL) methodology for the Bank’s US subsidiaries, contributes to CECL implementation and provide insights and analytics to senior executives, business lines, and business units.

                                                                -

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA350091EXTERNALENCA/Developer-Data-Science-Bell-Media?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-02-22T22:42:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/109607350-developer-data-science-bell-media-at-bell-canada,BECACA350091EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -de76ec36-602d-479e-92e9-3592d6575f50,157435780,Linamar,Software Engineer,on_site,"Guelph, ON, Canada",2022-10-17T18:36:04.289Z,"

                                                                Job Title: Engineer, Software

                                                                -

                                                                Innovation Hub

                                                                -

                                                                Are you someone who is eager to learn by being at the forefront of new technology?

                                                                -

                                                                You should have a good understanding of machine deep learning and power electronics and processes, along with growing experience in fast-paced manufacturing / production environments.

                                                                -

                                                                Powering Vehicles, Motion, Work, and Lives since 1966.

                                                                -

                                                                Responsibilities

                                                                -

                                                                Ensure compliance with all legislative requirements in the facility’s geographic location and:

                                                                -
                                                                  -
                                                                • -· The Global Operating System Plays;
                                                                • -
                                                                • -· OHSAS 18001: Health and Safety management system standard;
                                                                • -
                                                                • -· ISO 14001: Environmental Management system standard;
                                                                • -
                                                                • -· TS 16949 Technical Specification Management and Linamar Quality Basics system standards.
                                                                • -
                                                                • Power Electronics
                                                                • -
                                                                • Wire bonding
                                                                • -
                                                                • PCB/Electronics manufacturing
                                                                • -
                                                                • Experience in one or more of the following:
                                                                  • Full-Stack Development Experience
                                                                  -
                                                                • -
                                                                • Full end to end solutions (backend to frontend framework development experience)
                                                                • -
                                                                • System architecture and design decision experience
                                                                • -
                                                                • High-volume production environments, ideally with software application development teams
                                                                • +

                                                                  Accountabilities:

                                                                  +
                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                  • Works closely with key stakeholders in developing the CECL end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
                                                                  • Contributes to quarterly CECL measurement, analytics, and reporting.
                                                                  • Provides support in preparing CECL and IFRS 9 reports to senior management and to the relevant business units; as well as providing analytics on the underlying data.
                                                                  • Ensures CECL documentation is up-to-date and in compliance with Model Validation and Audit guidelines.
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                  • Champions a high-performance environment and contributes to an inclusive work environment.
                                                                  -

                                                                  Support, Foster, Promote and Demonstrate Linamar’s Core Values and Leadership Behaviors.

                                                                  -

                                                                  Maintain balance between customer, employee and financial satisfaction by maximizing facility/department Performance Indicators to align to Linamar’s Stepping Stool of Success Strategy.

                                                                  -

                                                                  Support and maintain department lean initiatives as set out in LPS system requirements.

                                                                  -

                                                                  Maintain department 5S requirements.

                                                                  -

                                                                  Develop a clear understanding of our factory-floor requirements for the use of IoT data.

                                                                  -

                                                                  Engage in effective and collaborative communications to ensure timely and efficient development processes.

                                                                  -

                                                                  Participate in all aspects of development lifecycles: Ideation, Design, Build, Test, Operate.

                                                                  -

                                                                  Collaborate with all aspects within the organization, from end users to management, from product managers, to system owners to ensure a best in class product.

                                                                  -

                                                                  Translate User Requirements into Technical Requirements with the Business-In-Mind.

                                                                  -

                                                                  Experience

                                                                  -

                                                                  To effectively contribute to this team, the role requires

                                                                  -

                                                                  3+ Years in an Engineering, Operations, DevOps, Manufacturing, Automation or similar environment.

                                                                  -

                                                                  System virtualization, networking, and data storage technology

                                                                  -

                                                                  Machine learning

                                                                  -

                                                                  Python Programming

                                                                  -

                                                                  Autoencoder development

                                                                  -

                                                                  Statistical analysis

                                                                  -

                                                                  Data science

                                                                  -

                                                                  Industrial controls and automation

                                                                  -

                                                                  Understanding of industrial controls, software, and supporting devices (Cameras, Robots)

                                                                  -

                                                                  Organized and proficient at time management

                                                                  -

                                                                  A skilled communicator, facilitator and team player

                                                                  -

                                                                  Energized working in a fast-changing environment

                                                                  -

                                                                  Additional assets for consideration include experience in:

                                                                  -

                                                                  What Linamar Has To Offer

                                                                  -
                                                                    -
                                                                  • Opportunities for career advancement.
                                                                  • -
                                                                  • Community based outreach supporting both local and global initiatives and charities.
                                                                  • -
                                                                  • Social committees and sports teams.
                                                                  • -
                                                                  • Discounts for local vendors and events, including auto supplier discounts.
                                                                  • +


                                                                    Education / Experience / Other Information:

                                                                    +
                                                                    • Strong verbal and written communication skills and proven problem-solving skills.
                                                                    • Good organizational and analytical skills.
                                                                    • Experience in Python, SQL and statistical modelling.
                                                                    • Comfort and experience working in a project context and juggling multiple competing priorities
                                                                    • Critical thinking skills and ability to work under tight timelines.
                                                                    • Bachelor / Master’s in Accounting, Business, Finance, Economics, Mathematics, Engineering or Statistics.
                                                                    • Professional qualification such as CPA / CMA/ CGA / CFA is an added advantage.
                                                                    -

                                                                    About Us

                                                                    -

                                                                    Linamar Corporation is a Canadian diversified global manufacturing company of highly engineered products across global industries & markets. From the entrepreneurial seeds planted by our dynamic founder, to the support provided along the way, all Linamar employees are poised for success in this fast-paced and rapidly growing environment. With access to the tools you need to succeed, you will make an impact along with other motivated and engaged people.

                                                                    -

                                                                    Linamar is committed to promoting accessible recruitment as outlined in the Accessibility for Ontarians with Disabilities Act. Linamar will attempt to accommodate persons with a disability in an appropriate and effective manner throughout all stages of the recruitment process. Accommodations will be provided upon request.

                                                                    ",robyn.gladstone@linamar.com,,robyn.gladstone@linamar.com,http://www.linamar.com,,,2022-11-18T15:16:31.265Z,False,4,0,64,https://talenthub.vectorinstitute.ai/jobs/157435780-software-engineer-at-linamar,,expired,2022-10-17T18:36:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Manufacturing ,Associate,College Diploma,New Posting, -bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowships,on_site,"Toronto, ON, Canada",2022-10-20T14:44:16.353Z,"

                                                                    Supporting academic research sits at the core of Borealis AI. Our Graduate Fellowship program has been designed to help exceptional domestic and international students achieve their goals as they pursue graduate degrees at a Canadian university in ML or AI.

                                                                    -

                                                                    Who can apply:
                                                                    Application eligibility criteria

                                                                    -

                                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                    -

                                                                    How to Apply

                                                                    -
                                                                    • Please gather the following materials in order to proceed with your application. You will not be able to save the application once you start. The deadline to submit your application is 11:59 pm ET on November 8, 2022.
                                                                    -

                                                                    ",,https://www.borealisai.com/program/fellowships/,aitalent@vectorinsitute.ai,https://www.borealisai.com/en/careers/,,,2022-11-19T14:44:21.710Z,False,0,16,165,https://talenthub.vectorinstitute.ai/jobs/158105432-borealis-ai-fellowships-at-borealis-ai,,expired,2022-10-20T14:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Fellowship,PhD,New Posting, -280e0938-0700-4956-b25e-a90f06dfd93e,179957093,CIBC,"Senior Consultant, Advanced Analytics",on_site,"Ontario, Canada",2022-12-22T17:06:04.967Z,"
                                                                    +

                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/189568980-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Optimization & Decision Science- 12 Month Secondment/ Contract",on_site,"Ontario, Canada",2023-01-27T17:06:03.396Z,"

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                @@ -49117,39 +48776,38 @@ bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowshi

                                                                Job Description

                                                                -

                                                                What you’ll be doing

                                                                -

                                                                -

                                                                Reporting to the Director, Advanced Analytics you will be a senior contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Senior Consultant will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                The Analytics & Decision Science team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                -

                                                                How you’ll succeed

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.
                                                                • -
                                                                • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.
                                                                • -
                                                                • Work closely with IA and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.
                                                                • -
                                                                • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.
                                                                • -
                                                                • Provide technical, motivational and strategic thought leadership to the Advanced Analytics team in planning and executing in-depth data analysis supporting a variety of audit activities.
                                                                • -
                                                                • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.
                                                                • +
                                                                • +Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                                                • +
                                                                • +Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                                                • +
                                                                • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

                                                                -

                                                                Who you are

                                                                +

                                                                Who You Are

                                                                • -A degree (preferably at the graduate level) in Management Science, Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background.
                                                                • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                                                • -5+ years of experience and advanced practical and theoretical knowledge in data analytics, quantitative modeling, BI or statistical analysis
                                                                • +You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                                                                • -Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.
                                                                • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                                • -Great communication skills, verbal and written as well as a great storyteller who can visually bring to life what data and analytics is showing us.
                                                                • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                                • -Strong organization, leadership, and team-oriented skills. Demonstrated ability to collaborate as well as lead across a matrix organization to execute on priorities, influence change and deliver results.
                                                                • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                                • -Comprehensive knowledge of data analysis tools, languages, and methodologies. (SAS, Tableau, Python, Oracle RDBMS, Azure, Cloud Computing), knowledge of CIBC data sources, applications and system platforms is a benefit.
                                                                • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                -

                                                                What CIBC offers

                                                                +

                                                                What CIBC Offers

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  @@ -49168,1207 +48826,1046 @@ bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowshi

                                                                  -

                                                                  Job Location

                                                                  Toronto-81 Bay, 26th Floor

                                                                  Employment Type

                                                                  Regular

                                                                  +

                                                                  Job Location

                                                                  Toronto-81 Bay, 25th Floor

                                                                  Employment Type

                                                                  Temporary (Fixed Term)

                                                                  Weekly Hours

                                                                  37.5

                                                                  Skills

                                                                  -

                                                                  Advanced Analytics, Business Analysis, Data Analysis, Data Analysis Tools, Financial Services, Statistics, Visual Analytics
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Advanced-Analytics_2243017?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-01-12T22:02:00.000Z,False,0,3,3,https://talenthub.vectorinstitute.ai/jobs/179957093-senior-consultant-advanced-analytics-at-cibc,,expired,2022-12-22T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -13e684ec-bdb1-423c-9d71-ad91969db2b4,179960718,Sun Life Financial,"Data Analyst, Rewards & Recognition",on_site,"Ontario, Canada",2022-12-22T17:41:05.025Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                -

                                                                The Data Analyst, Recognition provides data analytics support for multiple annual recognition programs and campaigns available to approximately 1,800 Sun Life Advisors.

                                                                -

                                                                -

                                                                Preferred skills

                                                                -

                                                                · Minimum 3 years\' experience in data analytics and business intelligence, including predictive analytics and data modeling.

                                                                -

                                                                · Degree in business administration, finance, economics, computer science, statistics, mathematics, engineering, or equivalent is required.

                                                                -

                                                                · Experience building and maintaining Excel Macros and VBA programs.

                                                                -

                                                                · Experience using data analysis tools such as Microsoft SQL server or similar.

                                                                -

                                                                -

                                                                Qualifications

                                                                -

                                                                · Expert knowledge in the Microsoft suite of products (Excel, Word etc.) with proven experience with VBA, as well as advanced Excel functions

                                                                -

                                                                · Highly motivated individual who can execute independently with minimal direction

                                                                -

                                                                · Proficient in data investigation and compilation with multiple data sources

                                                                -

                                                                · Technical aptitude: ability to learn new tools and software quickly and understand technical concepts

                                                                -

                                                                · Strong analysis, investigative and problem-solving skills

                                                                -

                                                                · Innovative thinker; able to identify and champion proposals for approval

                                                                -

                                                                · Builds context by pushing beyond ""how things are done"" to understand ""why"" and uncover the underlying principles shaping the business

                                                                -

                                                                · Ability to extract, manipulate and simplify data through a variety of tools and techniques

                                                                -

                                                                · Process improvement skills with a demonstrated ability to produce meaningful results from data

                                                                -

                                                                · Strong communication and interpersonal skills; ability to explain business concepts to IT partners, and technical concepts to business partners

                                                                -

                                                                · Attention to detail and in-depth planning, organizational and time management skills

                                                                -

                                                                · Positive attitude to thrive in a dynamic, fast-paced environment, and quickly find alternative solutions to challenges

                                                                -

                                                                · Flexibility: Ability to accept change, and adapt well to ambiguous situations

                                                                -

                                                                -

                                                                Responsibilities

                                                                -

                                                                · Lead incentive program modelling efforts by extracting data, analyzing, and drafting insights from previous programs; present proposals for future programs to the Recognition team and senior leadership for approval.

                                                                -

                                                                · Generate reports, develop, and maintain databases by acquiring data from various sources, build scripts that will make data evaluation process more flexible or scalable across data sets.

                                                                -

                                                                · Analyze and model data to showcase rich interactive visualizations to extract insights, to drive for strategic business decisions to drive performance.

                                                                -

                                                                · Adjust Excel VBA macros to include new requirements for annual programs, quarterly campaigns, and ad hoc incentives; ensuring data quality and timely delivery of the report.

                                                                -

                                                                · Work with the internal programming team to implement and test changes to automate Recognition program reporting.

                                                                -

                                                                · Support data and insights requests after each incentive program period to deliver the performance analysis and present them to the team and leadership.

                                                                -

                                                                · Support data warehousing in identifying and revising reporting requirements.

                                                                -

                                                                · Support ad hoc data and performance requests from leadership.

                                                                -

                                                                · Complete monthly, quarterly, annual program status reporting.

                                                                -

                                                                · Attend regular Recognition team meetings and provide data and insights in these meetings as required.

                                                                -

                                                                · Build new reports in Excel or Tableau as required to support the continuous improvement efforts of Recognition team.

                                                                -

                                                                · Ensure that business and technical requirements are captured in proper documentation and maintained.

                                                                -

                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                51,100/51 100 - 82,800/82 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                12/01/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Data-Analyst--Rewards---Recognition_JR00073333?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:01:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/179960718-data-analyst-rewards-recognition-at-sun-life-financial,,expired,2022-12-22T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -89326799-6779-4652-a22b-25a78e534a21,181084210,Scotiabank,"Manager, Data Strategy - CID&A",on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.974Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169773

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -

                                                                -

                                                                The Data Engineer, Strategic Project will be accountable for delivery of data analytics and business intelligence in support of strategic initiatives that go across different functions within Canadian Banking including Canadian Banking Analytics, Products, Market Research, Marketing, Customer Growth. Using analytics tools such as Python, SAS and Power BI, this role will access a wide range of sophisticated complex data sources to uncover insights in support of business initiatives and inquiries. The incumbent will work collaboratively with Data Enablement team to implement final data in the production for sharing with a wide audience.

                                                                +

                                                                Advanced Analytics, Analytical Thinking, Big Data, Big Data Technologies, Business Problems, Business Processes, Data Science, Datasets, Decision Sciences, Innovation, Machine Learning, Operations Research, Python (Programming Language), Statistics
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Optimization---Decision-Science_2243008?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-02T17:11:05.794Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/190516924-senior-data-scientist-optimization-decision-science-12-month-secondment-contract-at-cibc,,expired,2023-01-27T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +16981557-7f97-449f-b94f-0e9affe4a862,189570211,Magna International,Data Scientist,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2023-01-23T17:39:06.873Z,"
                                                                +
                                                                +

                                                                Job Introduction

                                                                +

                                                                The Data Scientist will be a key member of the R&D team and will solve data-related challenges in manufacturing operations. In this role, you will collaborate with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                                                                +
                                                                +
                                                                +

                                                                Major Responsibilities

                                                                +
                                                                • Contribute to and engage in a working environment aimed at partnering with the product groups and divisions to leverage the process innovations to the targeted scale.
                                                                • Contribute relevant analytical findings to the technical discussion with the product groups to prepare the process for total cost reduction, as it pertains to Factory of the Future.
                                                                • Support the ideation process from a data perspective to identify gaps and opportunities in manufacturing processes, building blocks, and technologies to develop economical and scalable solutions.
                                                                • Derive and show optimization potentials for given applications based on data analysis, utilizing state of the art and cutting-edge mathematical methods (AI).
                                                                • Deploy machine learning methods to simplify / substitute repeating tasks.
                                                                • Develop proof of concepts (POC) based on AI methods for closed loop control in production (e.g. Vision-based decision making, reinforcement learning approaches for controls, etc.).
                                                                • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and executive leadership.
                                                                • Support, plan, and execute ML and AI initiatives. Manage and facilitate initial small-scale implementation. Support broad deployment and adoption within the organization.
                                                                • Develop, maintain, and document the source code for all developments.
                                                                • Leverage internal and external expertise as required.
                                                                • Regularly interface with senior management to provide project updates.
                                                                • Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Knowledge and Education

                                                                +
                                                                • Master’s Degree in Mathematics, Statistics, Computer Science, Physics, or a closely related education with 2+ years of experience in industry.
                                                                • PhD preferred.
                                                                • Excellent mathematical knowledge in the field of statistics.
                                                                • Deep knowledge of Python and data analysis relevant libraries.
                                                                • SW development knowledge with detailed understanding of SW deployment processes is desired.
                                                                • Knowledge of network technologies and protocols (e.g. MQTT).
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Work Experience

                                                                +
                                                                • Demonstrated experience with a wide variety of ML and AI techniques and algorithms.
                                                                • Demonstrated experience with Python, SQL, and other related tools and toolchains to be able to oversee, direct, and manage projects in the field.
                                                                • Experience with virtualization (e.g. PowerBI, Grafana) and deployment tools (e.g. Docker).
                                                                • Experience with manufacturing related data analytics is preferred.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Skills and Competencies

                                                                +
                                                                • Very good knowledge of English language is required, knowledge of German language is advantageous.
                                                                • Open mindset and eager to learn.
                                                                • “Challenge the status-quo” mentality.
                                                                • Team player with an analytical personality and strong communication skills.
                                                                • Willingness to ask questions and build networks/relationships with other departments/groups.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Work Environment

                                                                +
                                                                • While performing the duties of this job, the employee is regularly required to talk and hear, and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
                                                                • Responsible for working in compliance with the provisions of the Health and Safety Act, as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
                                                                • Travel up to 25% - domestic and international may be required.
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Awareness. Unity. Empowerment.

                                                                +
                                                                +

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                +

                                                                +

                                                                #LI-Hybrid

                                                                +
                                                                +
                                                                +
                                                                ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-02-02T17:44:01.841Z,False,0,15,53,https://talenthub.vectorinstitute.ai/jobs/189570211-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2023-01-23T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, +1ec70bc1-d4bb-47f4-a308-d49c1f7775fc,190519204,Clearpath,Software Test Co-op,on_site,"Ontario, Canada",2023-01-27T17:42:03.392Z,"

                                                                Description

                                                                +

                                                                Position: Software Test Co-op
                                                                Location: Kitchener, Ontario
                                                                Student Level: Junior/Intermediate
                                                                Education: Software Engineering

                                                                +

                                                                About Clearpath Robotics Inc.

                                                                +

                                                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                                                +

                                                                About OTTO™ Motors

                                                                +

                                                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com

                                                                +

                                                                About the Job:

                                                                +

                                                                We believe in providing our clients with complete solutions revolutionizing manufacture and warehousing. Clearpath provides system software that allows its customers to direct and monitor their fleet of robots without having to worry about the details.

                                                                +

                                                                You will be working in a team responsible for testing Clearpath\'s fleet management and related system software. Your goal is to help build a system of robust and efficient software tests that will enable our Fleet Manager to operate at a high level of reliability for years in the field.

                                                                +

                                                                Job Responsibilities:

                                                                +

                                                                You will assist in the testing, troubleshooting, and quality assurance of the fleet manager software system, working closely with other members of the test, continuous integration & Fleet software development teams.

                                                                +

                                                                Additional tasks may include:

                                                                - Test plan development and implementation
                                                                - Executing tests for full system, component, simulation and performance.
                                                                - Documenting test results.
                                                                - Capturing issues and artifacts, establishing a strong feedback loop back into development.
                                                                - Extending test frameworks.
                                                                - Supporting continuous integration, internal tools, and infrastructure.

                                                                +

                                                                Required Skills:

                                                                - Practical software development and test skills.
                                                                - Team player, good communicator.
                                                                - Experience with Python.
                                                                - Exposure to Linux and version control (Git).
                                                                - Exposure to web testing frameworks (Cypress, Selenium).
                                                                - Exposure to HTTP REST API\'s.

                                                                +

                                                                Bonus Point for:

                                                                - System-level testing, and continuous integration.
                                                                - ROS exposure.
                                                                - Familiar with scripting e.g. bash.

                                                                +

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/obZ4lfwj,feed-importer@jobboard.io,,,,2023-02-02T17:47:04.254Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/190519204-software-test-co-op-at-clearpath,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, +3dab2ab4-7a8f-4753-b4bd-ccd8de1336e4,179960297,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2022-12-22T17:22:04.323Z,"

                                                                -

                                                                Accountabilities

                                                                -

                                                                Accountability 1 – Data Analytics and Visualization

                                                                -


                                                                • Use a variety of Business Intelligence analytical and reporting tools (eg. SAS, SQL, Python, Power BI) to access Enterprise Data Warehouse (EDW), Data Lake (EDL) and other platforms to perform complex analysis and reporting, including interactive dashboards, scorecard, regular reports, and ad-hoc requests as required.
                                                                • Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
                                                                • Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
                                                                • Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
                                                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.

                                                                -

                                                                Accountability 2 – Processes Improvement

                                                                -


                                                                • Support migration of SAS based data processing workflows to Apache Spark & Python.
                                                                • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
                                                                • Build re-usable managed datasets for CBA stakeholders.
                                                                • Document existing processes and workflows, and look for opportunities to optimize and automate work stream
                                                                • Coach, assist and share knowledge and expertise to new and existing team members with varying degrees of technical and data expertise
                                                                • Learn new tools and technology to meet evolving business needs.

                                                                +

                                                                Requisition ID: 169910

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Accountability 3 – Business Impact

                                                                -


                                                                • Act as project owner in requirements gathering, program development and process automation to ensure high quality delivery.
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation and end-user self-help solutions
                                                                • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                                                • Understand the Bank’s risk appetite and AML/ATF practices in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                                                                -


                                                                Requirements & Qualifications

                                                                +

                                                                Purpose:

                                                                -

                                                                • Bachelor's Degree in Computer Science, Engineering, Math, Statistics, or another quantitative field.
                                                                • 4+ years of experience in advanced analytics or data scientist role
                                                                • Must be proficient with Python (3+ years), PySpark, Spark, SAS, SQL, Power BI, Excel and MS Office
                                                                • Experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and data processing within the EDL for ‘big data’ data pipelines, architectures & data sets
                                                                • Experience with HDFS/Hive, MiniO/Presto/Trino, Airflow, Docker, Git would be an asset
                                                                • Experience with Google Cloud Platform (Google Cloud) would be an asset
                                                                • Excellent analytical and problem-solving skills. Must be able to interpret and consolidate large amount of information in actionable recommendations
                                                                • Must be flexible to adapt to a dynamic environment and make quick and sound decisions under pressure
                                                                • Must be reliable, pro-active, results-oriented, customer-focused, and attentive to details
                                                                • Must possess excellent time management and organizational skills
                                                                • Strong communication skills and relationship building skills with internal partners
                                                                • Strong prioritizing, planning, analytical, requirement gathering and presentation skills
                                                                • Open to learn new tools and explore new ways of analyzing data and business performance

                                                                +

                                                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                                                +


                                                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                                                -

                                                                Good to have Qualifications:

                                                                -


                                                                • 2+ years’ experience of banking and financial services products, covering all business lines (day-to-day, borrowing, investing, insurance, wealth management, and small business)

                                                                -

                                                                +

                                                                Specifically, the individual will be responsible for:

                                                                +


                                                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                                                +

                                                                Accountabilities:

                                                                +



                                                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                                                Requirements & Qualifications:

                                                                +



                                                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                                                • Experience in developing executive-friendly presentations and dashboards
                                                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                                                • Strong curiousity to learn with adaptive and creative mindset
                                                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084210-manager-data-strategy-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5603e2c1-a512-4185-a206-01feaa7ef695,175021835,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-12-08T17:24:02.501Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T15:01:55.364Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/179960297-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +35d6f866-7d45-4c8f-8b13-cd3a30a480f6,179960344,TD Bank Group,Data Scientist II (Data Conversion and Data Migration),on_site,"Toronto, ON",2022-12-22T17:24:06.283Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                -

                                                                Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                                                will work with experienced colleagues, receive world class training, and be part of a community of students across
                                                                TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                                                understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                                                program is designed to complement your on-the job experience and features:

                                                                -
                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • -
                                                                +

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                +

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                +

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                Job Description

                                                                -

                                                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                                                on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                                                vary by area. They may include, but are not limited to the following:

                                                                +

                                                                About this Role
                                                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.
                                                                As a Data Scientist II, these are the essential qualifications of this role:

                                                                  -
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                • -
                                                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                • -
                                                                • Design, develop and deploy system enhancements
                                                                • -
                                                                • Perform Unit and System Integration tests
                                                                • -
                                                                • Document system deployment plans for system implementation and code deployment
                                                                • -
                                                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                • -
                                                                • Provide recommendations with full usability analysis
                                                                • -
                                                                • Perform root-cause analysis and resolution of application defects
                                                                • -
                                                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                • +
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative data solutions that will become core work you’re doing
                                                                • +
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • +
                                                                • Design and deliver enterprise analytic solutions for stakeholders
                                                                • +
                                                                • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                                                                • +
                                                                • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                                                                • +
                                                                • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                                                                • +
                                                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                                • +
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • +
                                                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                                                • +
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                                                                Requirements

                                                                -
                                                                  -
                                                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information
                                                                • -
                                                                • Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                • -
                                                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                • -
                                                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                • -
                                                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                • -
                                                                • Familiarity with source code management such as GIT
                                                                • -
                                                                • Familiarity with Jira and Confluence
                                                                • -
                                                                • A thirst for constantly exploring emerging technology
                                                                • -
                                                                • Skills that would be an asset, but not required
                                                                    -
                                                                  • Familiarity with RDBMS, Big data
                                                                  • -
                                                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                  • -
                                                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                  • -
                                                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                                                  • -
                                                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                  • -
                                                                  -
                                                                • -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding
                                                                which business group and the specific job duties will be provided.

                                                                -

                                                                Early Talent Requirements

                                                                +
                                                                What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • This position is a 4-month work term and will commence May 1 – August 25th, 2023.
                                                                • -
                                                                • Applications must include a resume (maximum of 2 pages). We welcome all applications; however, we will only contact qualified candidates chosen for an interview..
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                                                                • +
                                                                • Sound conceptual knowledge in your area of specialty
                                                                • +
                                                                • Advanced analytical and problem-solving skills
                                                                • +
                                                                • Strong programming skills in Python and PySpark.
                                                                • +
                                                                • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
                                                                • +
                                                                • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
                                                                • +
                                                                • Experienced in working with relational databases.
                                                                • +
                                                                • Strong knowledge of Human Resources, financial services, and banking products. Working knowledge of Human Capital Management is preferred.
                                                                • +
                                                                • Out-of-the-box thinker who seek out innovative solutions and embrace evolving technologies
                                                                • +
                                                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                                                • +
                                                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                                                -

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                -

                                                                #P&TCo-op

                                                                +

                                                                Additional Information

                                                                +
                                                                  +
                                                                • Data Conversion and Data Migration
                                                                • +
                                                                • Experience working with any ERP system
                                                                • +
                                                                +

                                                                Hours

                                                                37.5

                                                                -

                                                                Start Date

                                                                -
                                                                – Summer
                                                                -

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-11T21:10:04.643Z,False,0,15,45,https://talenthub.vectorinstitute.ai/jobs/175021835-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,expired,2022-12-08T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -056b8f47-7896-4bcd-9030-a9ad1999cbea,175047220,CN,Expert Data Engineering,on_site,"Ontario, Canada",2022-12-08T17:42:02.007Z,"
                                                                -

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                -
                                                                -

                                                                Job Summary

                                                                -

                                                                The Expert Data Engineering is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Data Engineering develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                -

                                                                -

                                                                Main Responsibilities

                                                                Data Engineering

                                                                -

                                                                -

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                -

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                -

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                -

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                -

                                                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                -

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                -

                                                                · Integrate analytics and data science results with business processes

                                                                -

                                                                · Promote effective data management practices

                                                                -

                                                                -

                                                                Data Design

                                                                -

                                                                -

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                -

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                -

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                -

                                                                · Expose the data into meaningful formats, like GraphQL

                                                                -

                                                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                -

                                                                · Participate in building data engineering expertise and framework

                                                                -

                                                                · Translate business needs into technical requirements

                                                                -

                                                                -

                                                                Data Development

                                                                -

                                                                -

                                                                · Acquire, ingest and process data from multiple sources and systems

                                                                -

                                                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                -

                                                                · Conduct metadata management, data cleansing and preparation

                                                                -

                                                                · Produce well documented quality codes

                                                                -

                                                                -

                                                                Data Operations - 10% -

                                                                -

                                                                -

                                                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                -

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                -

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                -

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                -

                                                                -

                                                                Data Quality Assurance

                                                                -

                                                                -

                                                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                -

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                -

                                                                · Maintain manual and automated test scripts

                                                                -

                                                                -

                                                                Working Conditions

                                                                -

                                                                -

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                -

                                                                -

                                                                -

                                                                Requirements

                                                                Experience

                                                                -

                                                                -

                                                                Data Engineering

                                                                -

                                                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                -

                                                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                -

                                                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                -

                                                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                -

                                                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                -

                                                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                -

                                                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                -

                                                                · Experience with Linux and shell scripting

                                                                -

                                                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                -

                                                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                -

                                                                · Experience working in an Agile team environment

                                                                -

                                                                -

                                                                Education/Certification/Designation

                                                                -

                                                                -

                                                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                -

                                                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                -

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                -

                                                                · Google or Azure Data Engineering certification*

                                                                -

                                                                *Any designation for these above would be considered as an asset

                                                                -

                                                                -

                                                                Competencies

                                                                -

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                -

                                                                · Ability to communicate complex solutions

                                                                -

                                                                · Applies analytical thinking

                                                                -

                                                                · Innovates through problem solving

                                                                -

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                -

                                                                · Demonstrates organizational abilities and detail oriented

                                                                -

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                -

                                                                · Works independently with little supervision

                                                                -

                                                                · Applies agile mindset

                                                                -

                                                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                -

                                                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                -

                                                                -

                                                                Technical Skills/Knowledge

                                                                -

                                                                -

                                                                · Strong data analytics and development skills

                                                                -

                                                                · Demonstrated creativity skills

                                                                -

                                                                · Expertise in a combination of Scala, Java or Python

                                                                -

                                                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                -

                                                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                -

                                                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                -

                                                                · Expertise with GraphQL*

                                                                -

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                -

                                                                -
                                                                -About CN

                                                                -

                                                                -

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-11T21:12:14.349Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/175047220-expert-data-engineering-at-cn,,expired,2022-12-08T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -1da30298-a8ec-4325-a3d5-eee5ebb6e36c,175044350,BenchSci,Technical Lead - ML Engineering - Natural Language Processing (Remote),on_site,"Toronto, Ontario",2022-12-08T17:39:03.314Z,"
                                                                -
                                                                We are looking for a Technical Lead - ML Engineering to join our growing R&D team! Reporting to the Engineering Manager, you will run our end-to-end machine learning platform, from research to production ML models. You are well-versed in the nuances of the machine learning lifecycle and have a clear approach to measuring the improvement of our ML systems and their peers' workflows. The technical lead role is a unique expansion of the scope of a Senior ML engineer that takes on multiple facets of technical leadership, team building, and building our technical roadmap. You can expect to collaborate with your ML teammates and folks from MLOps, Data, and Science teams.
                                                                -

                                                                -
                                                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                                -
                                                                -

                                                                You Will:

                                                                -
                                                                    -
                                                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • -
                                                                  • Partner with the Engineering Manager and other Tech Leads to recruit and build the team
                                                                  • -
                                                                  • Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
                                                                  • -
                                                                  • Drive core components of our technical roadmap
                                                                  • -
                                                                  • Facilitate and make technical decisions in forums
                                                                  • -
                                                                  • Help define best practices based on personal industry experience and research across the Machine Learning team
                                                                  • -
                                                                  • Lead sprint planning, estimations, and code + design reviews
                                                                  • -
                                                                  • Oversee the solutions and long-term technology investments to inspire technical creativity at BenchSci
                                                                  • -
                                                                -
                                                                -

                                                                You Have:

                                                                -
                                                                    -
                                                                  • 4+ years of experience working as a professional developer applying machine learning techniques to solve business problems
                                                                  • -
                                                                  • Experience with Python and programming fundamentals
                                                                  • -
                                                                  • Experience with NLP (ideally including NER) and PyTorch
                                                                  • -
                                                                  • Experience with designing, building, and evaluating scalable production-ready ML models
                                                                  • -
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas
                                                                  • -
                                                                  • Experience with building functional, production-level models in the cloud
                                                                  • -
                                                                  • Experience with planning projects
                                                                  • -
                                                                  • A desire to see teammates succeed together
                                                                  • -
                                                                -
                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future. -
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                -You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture. +
                                                                ",,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-04T15:15:30.646Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/179960344-data-scientist-ii-data-conversion-and-data-migration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bfa7f4d3-06aa-4db8-9fec-4ce40cc3716b,182852947,Google,"Developer Manager, Media, Graphics, and Display, Augmented Reality",on_site,"Toronto, ON, Canada",2023-01-02T17:20:02.418Z,"
                                                                +
                                                                +2022-12-07T11:10:56.825Z
                                                                +
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                                                                • Share
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                                                                • +

                                                                Developer Manager, Media, Graphics, and Display, Augmented Reality

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Waterloo, ON, Canada +
                                                                • +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Bachelor\'s degree or equivalent practical experience.
                                                                • +
                                                                • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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                                                                • +
                                                                • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
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                                                                +

                                                                Preferred qualifications:

                                                                +
                                                                  +
                                                                • Master\'s degree or PhD in Computer Science or related technical field.
                                                                  +
                                                                • +
                                                                • 7 years of experience designing and implementing OS and application runtime components.
                                                                  +
                                                                • +
                                                                • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
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                                                                • +
                                                                • 3 years of experience working in a complex, matrixed organization involving cross-functional, projects.
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                                                                • +
                                                                • Experience with bare-metal or RTOS-based microcontroller development in C or C++.
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                                                                • Experience with one or more of the following: microcontrollers, SoC, ISP, DSP, GPU, display and device drivers, hardware bring-up, power management, ARM processors, firmware, hardware/software integration, developing and debugging machine language, or wireless connectivity
                                                                  +
                                                                • +
                                                                -

                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                Like Google\'s own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of software developers. You not only optimize your own code but make sure software developers are able to optimize theirs. As a Software Development Manager you manage your project goals, contribute to product strategy and help develop your team. Software Development teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software developers are just getting started -- and as a manager, you guide the way.

                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. +

                                                                Google\'s software developers develop the next-generation technologies that change how users connect, explore, and interact with information and one another.

                                                                +

                                                                You will work on and develop ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, mobile, and more.

                                                                +

                                                                In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business grows/evolves.

                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com. +

                                                                The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Lead the developing efforts for the media team, including audio, video, and camera software and hardware components.
                                                                • +
                                                                • Guide efforts to utilize accelerators (e.g., DSPs, GPUs, hardware, software, etc.).
                                                                  +
                                                                • +
                                                                • Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
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                                                                • +
                                                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                                • +
                                                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                                  +
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/140922544619168454-developer-manager-media-graphics-and-display-augmented-reality/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:38:59.539Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/182852947-developer-manager-media-graphics-and-display-augmented-reality-at-google,,expired,2023-01-02T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, +7a4c33df-d844-41f5-8802-76c0314b182f,181831442,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2022-12-29T17:22:03.214Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 164210

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                The world is changing faster than ever and so are we!

                                                                +

                                                                +

                                                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                                +

                                                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                                +

                                                                +

                                                                What You'll do in this Role?

                                                                +

                                                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                                +

                                                                +

                                                                Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                                                +

                                                                +

                                                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                                                +

                                                                +

                                                                Is This Role Right for You?

                                                                +
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                                                • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                                                • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                                                • You are committed to quality in everything you do – statistically, process and governance wise
                                                                • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • +
                                                                +

                                                                Sample projects that you might work on include:

                                                                +
                                                                • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                                                • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                                                • Lead the periodic review and maintenance of credit risk models / scorecards
                                                                • Identify, promote and lead process improvements for model development and monitoring
                                                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                                                • +
                                                                +

                                                                +

                                                                What Are We Looking For?

                                                                +

                                                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                                                +

                                                                To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                                                +

                                                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                                +

                                                                +

                                                                Do you have the skills that will enable you to succeed in this role?

                                                                +

                                                                General

                                                                +
                                                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                                                • A demonstrated history of analytic problem solving and sound judgment
                                                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                • +
                                                                +

                                                                +

                                                                Technical

                                                                +
                                                                • Strong fundamental understanding of statistics
                                                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • Knowledge of credit risk models / scorecards
                                                                • +
                                                                +

                                                                +

                                                                Nice To Have's

                                                                +
                                                                • Proficient reading, writing and speaking Spanish (not required)
                                                                • Experience developing credit risk models / scorecards
                                                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                                                • FRM, CFA credentials
                                                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                                                • +
                                                                +

                                                                What's In it For You?

                                                                +
                                                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                • A competitive compensation package
                                                                • +
                                                                +

                                                                +

                                                                This position is located in downtown, Toronto. There are two positions available.

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T16:15:27.813Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/181831442-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,expired,2022-12-29T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b2bead8e-8514-4532-aa03-2ba237a47ea1,181831141,Google,"Operations Technician, Data Center (English)",on_site,"Toronto, ON, Canada",2022-12-29T17:20:02.227Z,"
                                                                +
                                                                +2022-12-23T14:00:52.747Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Operations Technician, Data Center (English)

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Toronto, ON, Canada +
                                                                • +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Diploma of College Studies in Computer Science or Electronics, or equivalent practical experience.
                                                                  +
                                                                • +
                                                                • Experience in Operating Systems and Networking Protocols.
                                                                • +
                                                                • Security clearance from the Government of Canada for Protected B work sites.
                                                                  +
                                                                • +
                                                                • Ability to speak and write in English fluently.
                                                                • +
                                                                +

                                                                Preferred qualifications:

                                                                +
                                                                  +
                                                                • Experience working with computer hardware and server hardware or troubleshooting/diagnosing.
                                                                  +
                                                                • +
                                                                • Experience in collaborating and partnering with teams.
                                                                  +
                                                                • +
                                                                • Ability to speak in both French and English fluently.
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                                                                • +
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-01-11T21:13:21.515Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/175044350-technical-lead-ml-engineering-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070,expired,2022-12-08T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, -e6b728a8-9052-4bd3-9499-fa2dd10cd093,176655741,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:04.125Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 169222

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -


                                                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
                                                                The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

                                                                -

                                                                -


                                                                The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

                                                                -


                                                                • Be the product owner for our Data Ethics & Use tools and technologies
                                                                • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
                                                                • Own the data ethics technical strategy and roadmap on an annual basis
                                                                • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
                                                                • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
                                                                • Lead a high-performance team, with focus on coaching and development

                                                                -

                                                                -


                                                                Key Responsibilities:

                                                                -


                                                                • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
                                                                • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
                                                                • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
                                                                • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
                                                                • Work with various stakeholders in a matrix organization
                                                                • Manage the SCRUM process and Kanban board for the projects
                                                                • Create project plans, maintain JIRA board and Confluence, as needed
                                                                • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
                                                                • Ensure timely delivery and successful adoption of data ethics tools and processes
                                                                • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
                                                                • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
                                                                • Review, address and incorporate user feedback into our tools and processes, as required
                                                                • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
                                                                • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
                                                                • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
                                                                • Ensure consistency and alignment on best practices across the organization.
                                                                • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
                                                                • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
                                                                • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
                                                                • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
                                                                • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Lead a high-performance team-this is a people manager role where development and coaching is a focus
                                                                • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                                                -

                                                                -


                                                                Functional Competencies:

                                                                -


                                                                • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
                                                                • Strong technical acumen
                                                                • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
                                                                • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
                                                                • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
                                                                • Able to work in a matrixed organization that has multiple stakeholders
                                                                • Ability to present ideas and facilitate discussions to build consensus at all levels
                                                                • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
                                                                • Results orientation and pragmatic approach to decision-making
                                                                • Ability to work independently and solve complex problems through a collaborative style
                                                                • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
                                                                • Ability to increase operating efficiency and produce high quality technical solutions
                                                                • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
                                                                • Ability to drive success in a high performing, flexible and small team environment

                                                                -

                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                Google isn\'t just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google\'s powerful search technology. As an Operations Technician, you\'ll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google\'s Linux cluster). You\'ll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You\'ll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

                                                                +

                                                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our software developers, developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Contribute to and lead efforts/projects in the deployment, maintenance and support of data center infrastructure.
                                                                  +
                                                                • +
                                                                • Lead troubleshooting and resolve escalated technical issues over a population of affected equipment.
                                                                • +
                                                                • Help test and troubleshoot new complex server hardware components and designs.
                                                                • +
                                                                • Configure and troubleshoot OS-related issues on servers.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/131345155136332486-operations-technician-data-center-english/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:14:23.478Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/181831141-operations-technician-data-center-english-at-google,,expired,2022-12-29T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,College Diploma,New Posting, +cedfb7ef-4405-402b-b3fe-fd992e2765ea,183866325,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-01-05T17:39:02.875Z,"

                                                                Job Details

                                                                Description

                                                                +

                                                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                                +

                                                                EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                                                +

                                                                Thinking about a change?

                                                                +

                                                                We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                                                                +

                                                                In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:45:12.090Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/176655741-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, -73fcf20c-8778-4315-8793-ae55371f261b,189559546,CIBC,"Associate, Quantitative Rotational Program",on_site,"Ontario, Canada",2023-01-23T17:06:04.258Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                Join our Quantitative Rotational Program as an Associate and make a real difference for our clients. This is a great opportunity to work under the leadership of our quantitative teams within Risk Management and Internal Audit. In the program, you will be provided with the opportunity to gain comprehensive experiences in developing, validating, implementing, managing and auditing various types of quantitative models. You’ll be part of a two-year program that consists of four, six-month rotations through various quantitative departments within CIBC that will provide you with the necessary experience and exposure to become an effective leader.

                                                                -

                                                                -

                                                                During your rotations, you will be part of the Quantitative Risk, Model Quantification and Model Validation within Risk Management, Model Risk teams within our Internal Audit department. Once you have successfully completed the program, you will be assisted in securing a full-time permanent role, preferably in one of the quantitative departments you worked with during your rotations. You will be part of a team that focuses on designing tools and reports to make the analysis process more efficient and streamlined. You’ll have an opportunity to prepare management summaries describing the mathematical analytics of models, validation techniques, test results, and model limitations, including recommendations for further improvements. You’ll perform, analyze and document the calibration and parametrization of the models used, define and monitor controls to ensure the appropriateness of the parameters used along with running back testing for models and analyze the impact of model behavior on risk management measures, as well as the impact of changes in capital from the model performance and how they affect the business.

                                                                -

                                                                -

                                                                As a QRP Associate, you will also have a chance to assist in the development and testing of new modelling methodologies, and effectively challenge these models through benchmark modelling and model validation. Additionally, we will look to you to provide assurance with respect to governance, the control environment, and compliance with regulatory requirements around model risk management through participating model specific and model governance audits and managing small and less complicated audit assignments and initiatives.

                                                                -

                                                                -

                                                                Important Information

                                                                +

                                                                You as a Data Engineer (Insight and Analytics) will:

                                                                  -
                                                                • You have a Master’s or Doctor’s degree in related programs e.g. Financial Engineering, Math, Physics and will graduate in 2023.
                                                                • -
                                                                • Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. Please upload all documents as one PDF file into the Resume section of your application. -
                                                                • -
                                                                • Work Location: Toronto (exact location to be decided during interview).
                                                                • -
                                                                • Duration of Program: 2 years (four, 6-month rotations).
                                                                • -
                                                                • Available start dates are in 2023 (to be confirmed during interview stage).
                                                                • -
                                                                • This job posting closes on February 5th at 11:59pm.
                                                                • +
                                                                • Be a technical lead in the development of high-volume platforms & Data pipelines
                                                                • +
                                                                • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                                                                • +
                                                                • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                                                                • +
                                                                • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                                                                • +
                                                                • Provide input and feedback to support continuous improvement in team processes
                                                                • +
                                                                • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                                                                • +
                                                                • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                                                                • +
                                                                +

                                                                Is this the right role for you?

                                                                +
                                                                  +
                                                                • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                                                                • +
                                                                • Comfortable working in a fast-paced environment and collaborative environment
                                                                • +
                                                                +

                                                                EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                                                                +

                                                                Go ahead and be yourself. We'll pay you for it!

                                                                +

                                                                We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                                                                +

                                                                Accommodation for Applicants will be made during the recruitment process when requested.

                                                                +

                                                                Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                                                                Qualifications

                                                                Skills

                                                                Behaviors

                                                                :

                                                                Motivations

                                                                :

                                                                Education

                                                                Experience

                                                                Licenses & Certifications

                                                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-02-04T21:38:30.459Z,False,0,19,59,https://talenthub.vectorinstitute.ai/jobs/183866325-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-01-05T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,Bachelors Degree,New Posting, +e3ddfba5-ea59-43c4-bee2-6c069fb1e562,154076345,CN,"Intern, Data Migration Analyst",on_site,"Ontario, Canada",2022-09-30T07:35:03.101Z,"
                                                                +

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                +

                                                                +

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration Analyst position in Montreal, Quebec for winter 2023 (January – April)

                                                                +

                                                                Job Summary

                                                                +

                                                                The Intern, Data Migration Analyst is responsible for collaborating with Data Migration to support the Systems, Applications and Products (SAP) business transformation that CN is currently undertaking. The incumbent performs data migration roadmap. The position carries out tasks related to the current data and data structures that constitute the new environment, including master and transactional data objects identification, data profiling and quality assessment, establish data cleansing strategies and their implementation, iterative data validation runs, and corrective actions prior to mock-ups and actual production migrations. The role contributes to the data enrichment activities and mapping as well as the transformations required to meet the updated business processes requirements, including mapping validation, troubleshooting, reconciliation prior to mock-ups, and actual production migrations.

                                                                +

                                                                Major Responsibilities

                                                                +

                                                                Data-related Tasks Associated to the As-Is Environment – 50%

                                                                +
                                                                  +
                                                                • Support the data team in accomplishing tasks
                                                                • +
                                                                • Identify data objects and profile quality
                                                                • +
                                                                • Clean data object strategies and their implementation
                                                                • +
                                                                • Clean validation and implement corrective measures
                                                                -

                                                                -

                                                                How You’ll Succeed

                                                                +


                                                                +

                                                                Data-related Tasks Associated to the To-Be Environment – 50%

                                                                  -
                                                                • -Project Management – You manage assignments through effective planning, execution, collaboration and communication to ensure timely delivery of high-quality results. -
                                                                • -
                                                                • -Risk Focused – You understand the importance of maintaining and evolving processes and control to mitigate model risks arising from an ever-changing business. You will also act as a champion for existing processes, working with key stakeholders and partners. -
                                                                • -
                                                                • -Communication and Relationship Management - You will build and develop relationships with key business contacts, governance functions and oversight groups to become a true partner to the business. -
                                                                • -
                                                                • -Passion – you will prove your risk focus and passion by demonstrating continuous improvement ideas that will enable CIBC’s model risk management practices to stand out in today’s competitive landscape. -
                                                                • +
                                                                • Identify data mapping and transformation requirements according to the business process re-engineering efforts
                                                                • +
                                                                • Sandbox assessment of data mapping and transformation methods as well as algorithms
                                                                • +
                                                                • Validate runs and implement corrective measures
                                                                -

                                                                -

                                                                Who You Are

                                                                +

                                                                Requirement

                                                                +

                                                                Education/Certification/Designation

                                                                +
                                                                • Bachelor’s Degree in Technical or Business fields with interest in data management, including business analysis and processes, Mathematics, Statistics, Data Science, and Engineering
                                                                +


                                                                +

                                                                Skills/Knowledge/Assets

                                                                  -
                                                                • -You can demonstrate experience in the use of mathematical, computer science, and statistical techniques, such as predictive modeling, analytics, and machine learning. -
                                                                • -
                                                                • -You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way. -
                                                                • -
                                                                • -Your attention to detail is second to none and you pick up things that others miss. -
                                                                • -
                                                                • -You enjoy finding innovative solutions to problems that will make a difference today and in the future. -
                                                                • -
                                                                • -You embrace change and look to evolve your thinking and the way you work to deliver your best. -
                                                                • -
                                                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability. -
                                                                • +
                                                                • Interest in managing data, including its meaning, attributes, characteristics, and business value
                                                                • +
                                                                • Interest in business processes and how data interrelates with those processes
                                                                • +
                                                                • Applies critical thinking
                                                                • +
                                                                • Interest in identifying issues and applying resolution in complex data sets
                                                                • +
                                                                • Interest in handling data
                                                                • +
                                                                • Knowledge of Excel and other equivalent productivity tools
                                                                • +
                                                                • Evaluates data compliance with business rules such as quality metrics
                                                                • +
                                                                • Applies cleansing strategies, mapping, and transformation rules as well as analyze the outcome, determine, and apply corrective measures
                                                                • +
                                                                • Communicates with impact

                                                                -

                                                                What CIBC Offers

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                +

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9043?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-18T17:37:00.000Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/154076345-intern-data-migration-analyst-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Masters Degree,New Posting, +2d05c8c3-0d56-4544-850e-be92a0b772a2,143494093,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2022-08-11T07:35:11.046Z,"
                                                                +

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                +

                                                                +

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Canada for fall 2022 (September – December).

                                                                +

                                                                Job Summary

                                                                +

                                                                The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

                                                                +

                                                                Major Responsibilities

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
                                                                • +
                                                                • Publish research findings to ML conferences might be a possibility
                                                                • +
                                                                • Support Data Scientist and ML Developer on the design and development of ML Solutions
                                                                • +
                                                                • Translate the technology solution architecture into engineering and software development standards and specifications
                                                                • +
                                                                • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
                                                                • +
                                                                • Conduct code reviews and ensure coding standards
                                                                -

                                                                -

                                                                What you need to know

                                                                +

                                                                Requirements

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Experience with Python, Shell, and other scripting languages
                                                                • +
                                                                • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
                                                                • +
                                                                • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
                                                                • +
                                                                • Applies critical thinking
                                                                • +
                                                                • Communicates with impact
                                                                • +
                                                                • Solves problems to create value
                                                                • +
                                                                • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
                                                                +

                                                                Education

                                                                +
                                                                • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                                                +

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 20th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Management Practices, Risk Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Quantitative-Rotational-Program_2300685?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-06T17:11:02.871Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/189559546-associate-quantitative-rotational-program-at-cibc,,expired,2023-01-23T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -96a14651-7744-415f-849f-eeed5e6f8f40,189570701,Thales,Cloud Database Administrator,on_site,"Ontario, Canada",2023-01-23T17:42:05.971Z,"
                                                                Location: Ottawa, Canada

                                                                -

                                                                Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                We are currently recruiting for a talented Cloud Database Administrator to provide support of this complex state-of-art solution. This role will provide you with the opportunity to learn the latest IT solutions and security concepts, within a like-minded supportive talented team.

                                                                -

                                                                -

                                                                Thales offers global cloud-based authentication services for high-profile customers with the most versatile and highest security practices implemented. We provide identity and access management services to thousands of customers worldwide

                                                                -

                                                                -

                                                                Key Responsibility

                                                                +

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8929?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-18T07:40:00.000Z,True,0,14,112,https://talenthub.vectorinstitute.ai/jobs/143494093-intern-data-scientist-computer-vision-at-cn,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +dacd2eb6-7b00-4c14-9dc3-68cca5a94ebe,84434811,Unity Health Toronto,Junior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-09-21T06:09:18.651Z,"

                                                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on machine learning applications in healthcare.

                                                                +

                                                                DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                                                +

                                                                As part of the data science team, the successful candidate will support Sr. Data Scientists in all stages of DSAA analytic projects. Responsibilities will include importing, manipulating and cleaning raw data, exploring and creating data summaries including data visualization and tabular reports. Additionally, the candidate will contribute to building and validating predictive models using analytical techniques such as time series analysis, multivariable regression analysis, and neural networks. Other responsibilities will include contributing to manuscripts and ethics applications, ad hoc report generation and support of data management activities, which may involve database validation, data review, and quality control. Data Scientists at the DSAA have areas of specialization within machine learning, simulation modeling, and/or biostatistics. The possible areas of specialization for this Data Scientist position are time series models, forecasting, graphical methods, Bayesian methods, and/or ML/ModelOps.

                                                                +

                                                                DUTIES & RESPONSIBILITIES:

                                                                  -
                                                                • Analyze product requirements and identify the best database solution, technology, and tool.
                                                                • -
                                                                • Ensure database consistency of the projects by resolving any constraints.
                                                                • -
                                                                • Develop database installation and upgrade script, which is part of CI/CD.
                                                                • -
                                                                • Provide workload estimation of customization, features, and component level.
                                                                • -
                                                                • Forecast, inform risk/concern on task, team, or project level, and propose mitigation plans.
                                                                • -
                                                                • Provide technical solutions, support, and perform several activities for a new or customized database of products/components used in the project which includes but is not limited to database design, installation, upgrade, migration, backup, recovery, failover, HA, hardening, monitoring, etc.
                                                                • -
                                                                • Review other DevOps code as necessary.
                                                                • -
                                                                • Orchestrate and optimize the database activities of several databases, schemas, and components in one project or solution.
                                                                • -
                                                                • Manage system/network configuration and monitoring.
                                                                • -
                                                                • Strategize and plan for data migration, and develop data migration script if required by the project.
                                                                • -
                                                                • Support, investigate and propose solutions/workarounds for production issues related to the database.
                                                                • -
                                                                • Provide documentation as appropriate including design documentation, comments in code, and end-user documentation
                                                                • -
                                                                • Consult with other technical team members and management on industry best practices.
                                                                • -
                                                                • Maintain and enhance internal tools
                                                                • -
                                                                • Provide input to improve the scalability and reliability of infrastructure to our Automation Architects
                                                                • -
                                                                • Deploy and assist with the maintenance of automation technologies
                                                                • -
                                                                • Participate in the on-call schedule & Provide L2/L3 Support to our Services desk and R&D teams
                                                                • -
                                                                • Document all build and run procedures when implementing new automation technologies.
                                                                • +
                                                                • Conducting analysis with basic supervised and unsupervised machine learning methods is an asset, including: Linear regression, logistic regression, GLM, penalized regression, SVM, random forest, xgboost, and neural networks
                                                                • +
                                                                • Perform descriptive and inferential statistical analysis in R and/or Python. Write HTML/PDF/Microsoft Word reports summarizing the analysis.
                                                                • +
                                                                • Validate output tables, listings or figures generated to ensure accuracy and reliability of analyses
                                                                • +
                                                                • Produce high quality ad hoc and standardized reports customized per project, using R/Python procedures, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives)
                                                                • +
                                                                • Develop efficient programs, algorithms, or systems to reduce programming time of standardized data analyses and reports
                                                                • +
                                                                • Assist with writing project protocols, including: data extraction, cleaning, predictive modelling, and validation plans
                                                                • +
                                                                • Write queries to extract data from the St. Michael’s Hospital Enterprise Data Warehouse (EDW)
                                                                • +
                                                                • Pre-process raw data to prepare for analysis. This includes cleaning and merging data from multiple sources, as well as understanding overall data quality.
                                                                • +
                                                                • Design and develop dashboards and reports with interactive visualizations using libraries like Highcharts, plotly, etc.
                                                                -

                                                                -

                                                                Required Skills and Exerience

                                                                +

                                                                QUALIFICATIONS:

                                                                  -
                                                                • 5+ years experience in Cloud Native database technologies including RDS,MSSQL, CloudSQL, Cloud Spanner, etc.
                                                                • -
                                                                • 5+ years experience in deploying and supporting different flavors of Cloud and OnPrem databases including MSSQL, MySQL, Postgres, MongoDB, etc.
                                                                • -
                                                                • 5+ years must have experience with orchestration and Automations tools (Helmcharts, Ansible, Terraforms, Yaml, Python, Json)
                                                                • -
                                                                • 5+ years experience in SQL programming, bash scripting etc.
                                                                • -
                                                                • Experience in configuring and maintaining different database replication methodologies.
                                                                • -
                                                                • Strong interest in performance and security. Involvement in application server deployment including System setup, monitoring and Network configuration
                                                                • -
                                                                • Understanding of operational concepts like change management, on-call rotations, escalations, uptime, etc
                                                                • -
                                                                • Experience in managing production systems on a very large scale
                                                                • -
                                                                • Experience with security-relevant protocols
                                                                • -
                                                                • Deep understanding of one of the major OS families (Linux or Windows)
                                                                • -
                                                                • Adhere to security best practices from design to implementation and operations
                                                                • -
                                                                • Experience with PaaS technologies (K8s, OpenShift, etc.)
                                                                • -
                                                                • Experience with building pipelines for Infrastructure as a code using Terraform
                                                                • -
                                                                • Ability to work in an extremely geographically distributed company
                                                                • -
                                                                • Excellent communication skills across multiple mediums
                                                                • +
                                                                • A Master's degree Computer Science, Statistics/Biostatics or related quantitative or informatics disciplines, with at least 1 year of relevant work experience (We will also consider other degrees and disciplines in conjunction with applied experience)
                                                                • +
                                                                • Expert level programming with either R (preferred) or Python is required
                                                                • +
                                                                • Experience working with and manipulating large datasets
                                                                • +
                                                                • Familiarity with databases such as: Netezza, SQL, Oracle, etc.
                                                                • +
                                                                • Familiarity with version control (git, Github, GitLab).
                                                                • +
                                                                • Experience writing reproducible reports using R Markdown (preferred) and/or Jupyter Notebooks
                                                                • +
                                                                • A deep understanding and experience with classical hypothesis testing, regression and classification tasks using generalized linear models, penalized regression, decision tree learning, random forest, support vector machines
                                                                • +
                                                                • Experience with time series modeling approaches, such as ARIMA, state space modeling, feed forward and recurrent neural networks is an asset.
                                                                • +
                                                                • Experience with graphical methods would be an asset
                                                                • +
                                                                • Experience with Bayesian methods would be an asset
                                                                • +
                                                                • Experience with ML/ModelOps would be an asset
                                                                • +
                                                                • Experience in healthcare is an asset
                                                                • +
                                                                • Demonstrated ability to manage statistical programming activities
                                                                • +
                                                                • Proficient with MS Office software (Word, Excel, PowerPoint, Outlook, etc.)
                                                                • +
                                                                • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website)
                                                                -

                                                                -

                                                                -

                                                                Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                                -
                                                                ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Cloud-Database-Administrator_R0191124-1?q=Data+Ontario&jobFamilyGroup=47200b8529d910216a6cd92c6e3634d2,feed-importer@jobboard.io,,,,2023-02-07T23:07:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/189570701-cloud-database-administrator-at-thales,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, -92ba831e-82cb-4312-b5dd-0105b0378188,190518279,TD Bank Group,Business Insights & Analytics Associate (Undergraduate),on_site,"Toronto, ON",2023-01-27T17:24:05.213Z,"
                                                                +

                                                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists.

                                                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=884265,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-10-14T17:41:00.000Z,False,0,30,201,https://talenthub.vectorinstitute.ai/jobs/84434811-junior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-09-21T06:09:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, +f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,on_site,"Toronto, ON",2022-11-15T17:24:03.573Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -

                                                                Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                -

                                                                Associate Role Profile:

                                                                -
                                                                  -
                                                                • 1-year in-depth experience, complemented by programming, coaching, tools and support
                                                                • -
                                                                • This is a full-time, permanent position
                                                                • -
                                                                -

                                                                In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                                                +

                                                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                                                +

                                                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                                                Job Description

                                                                -

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Insights & Analytics Associate will perform a variety of activities, which may include:

                                                                -
                                                                  -
                                                                • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
                                                                • -
                                                                • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                                                • -
                                                                • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                                                • -
                                                                • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                                                • -
                                                                • Collaborate with business partners to support the business case development process for analytics solutions
                                                                • -
                                                                +

                                                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                                                +

                                                                As a Senior Business Information Management Analyst, you will:

                                                                +

                                                                · Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas

                                                                +

                                                                · Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs

                                                                +

                                                                · Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)

                                                                +

                                                                · Develop business requirements; design and implement complex business data information management frameworks

                                                                +

                                                                · Apply automation and innovation on data platforms and on new development projects / initiatives

                                                                +

                                                                · Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers

                                                                +

                                                                · Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery

                                                                +

                                                                · Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                                                Requirements

                                                                +

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                · Undergraduate degree or technical certificate in Computer Science, Computer Engineering or related field

                                                                +

                                                                · Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background

                                                                +

                                                                · Proficient Knowledge in data management tools such as SQL Server, SSIS

                                                                +

                                                                · Experience in data modeling and knowledge in data warehousing methodologies

                                                                +

                                                                · Adept in SQL / T-SQL, and performance tuning

                                                                +

                                                                · Extensive ETL experience

                                                                +

                                                                · Experience in cloud computing (Azure) and Big Data would be an asset

                                                                +

                                                                · Advanced analytical and problem-solving skills

                                                                +

                                                                · In-depth knowledge of competitor and market trends

                                                                +

                                                                · Proficient to analyze, organize and prioritize work while meeting multiple deadlines

                                                                +

                                                                · Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions

                                                                +

                                                                · Act as a brand champion for our business area / function and TD, both internally and externally

                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-17T17:29:03.786Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/167454774-sr-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +7781bb6c-8ac7-4118-93cd-63bc266d2c83,164063556,BMO Financial Group,Model Ops & Data Engineer,on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.294Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Who We Are:

                                                                +

                                                                BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                                                                +

                                                                +

                                                                BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                                                                +

                                                                +

                                                                What You’ll Do

                                                                +

                                                                You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                                                                  -
                                                                • JOB REQUIREMENTS
                                                                • -
                                                                • Must be graduated between May 2021 and May 2023 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
                                                                • -
                                                                • Strong statistical and analytical skills and interest are necessary.
                                                                • -
                                                                • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                                                • -
                                                                • -Experienced in one or more of: -
                                                                • -
                                                                • Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++
                                                                • -
                                                                • Technical knowledge or experience with Hadoop, Spark and Cloud.Experience with Data Management, and Project Management is a plus.
                                                                • +
                                                                • Locate data sources and demystify data contents
                                                                • +
                                                                • Become the expert on the data sourced and used in the ML operations
                                                                • +
                                                                • Establish robust pipelines for data used in the execution of ML and Analytics programs
                                                                • +
                                                                • Ensure production behavioral scores and business metrics values align with expectations
                                                                • +
                                                                • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                                                                • +
                                                                • Clarify key business metrics. Code and implement these metrics at scale
                                                                • +
                                                                • Prepare modeling master data sets in collaboration with data scientists
                                                                • +
                                                                • Create insights and visualizations which answer high impact business questions
                                                                • +
                                                                • Prepare model validation documentation
                                                                -

                                                                Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Remain current with emerging trends and technologies in this field.

                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                ADDITIONAL INFORMATION

                                                                +

                                                                Qualifications

                                                                  -
                                                                • Application Deadline: February 5th, 2023
                                                                • -
                                                                • Anticipated Start Date: July 2023
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                                                                • +
                                                                • Experience impacting business transformation with data
                                                                • +
                                                                • Proven experience building data pipelines in production for advanced analytics use cases
                                                                • +
                                                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                                                • +
                                                                • Proven ability to write clean, maintainable, scalable, and production ready code
                                                                • +
                                                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                                                • +
                                                                • Strong proficiency with SQL and its variations among different databases
                                                                • +
                                                                • Skilled at optimizing large and complicated SQL statements
                                                                • +
                                                                • 2+ years production development experience
                                                                • +
                                                                • 3+ years of relevant work experience as a Data Operations Engineer
                                                                • +
                                                                • 3+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                                                                • +
                                                                • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                                                                • +
                                                                • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                                                                • +
                                                                • Degree in computer science, engineering, mathematics, or equivalent work experience
                                                                -
                                                                • -HOURS

                                                                  Monday-Friday, standard business hours.

                                                                  -

                                                                  INCLUSIVENESS

                                                                  -

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -
                                                                -
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                Start Date

                                                                -
                                                                – Summer
                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:10:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/190518279-business-insights-analytics-associate-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -cbd78f0a-44a0-4f19-a89c-6115a2862c15,186278243,TELUS,Data Ethicist - REMOTE,on_site,"Ontario, Canada",2023-01-12T17:42:04.341Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                -


                                                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Data Ethicist, reporting to the Director of Data Ethics & Governance, you will provide thought-leadership and work with a cross-functional group focused on enabling a framework for responsible use of data, including health data. You will guide the design and development of data research, data-driven products and services in accordance with ethical principles.

                                                                -


                                                                You will be a champion for data ethics across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to data ethics will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data, including health data, for social good and specifically to address some of society’s most pressing problems.

                                                                -


                                                                Here’s how

                                                                -

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-17T17:17:03.728Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/164063556-model-ops-data-engineer-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +d3cdb0c0-450c-459a-8177-1edc07624849,164063747,Thomson Reuters,Senior Data Engineer – News Technology,on_site,"Toronto, ON, Canada",2022-11-07T17:19:03.476Z,"
                                                                +

                                                                Sr. Data Engineer, News Technology

                                                                +

                                                                The Reuters News technology team supports Reuters’ journalists throughout the News production lifecycle - from discovery of newsworthy events to researching the story to publication, and all that at the speed of light in an increasingly competitive landscape. We are working to improve Reuters editorial news production and automation, and we are seeking an experienced and motivated engineer in Toronto, to help deliver this game-changing platform. Do you want to learn what drives news, and learn about the depth and breadth of Thomson Reuters\' content? Come join us!

                                                                +

                                                                About the Role

                                                                +

                                                                As a Sr. Data Engineer joining our team, you will be responsible to:

                                                                  -
                                                                • Provide ethical analysis and questioning for the implications of data use and technology evolution that is fair and transparent, considering the experience of a broad range of stakeholders to identify potential unintended consequences and impacts
                                                                • -
                                                                • Establish the data ethics framework to ensure there is understanding, consideration and foresight into the issues raised by previously unimaginable uses of data and the development of emerging technologies like AI
                                                                • -
                                                                • Enhance understanding of data ethics and its importance across TELUS, providing education and influencing the data user community and network of Data Stewards on responsible innovation
                                                                • -
                                                                • Work with TELUS engineers, researchers, designers and business stakeholders to embed ethical decision-making and risk mitigation and monitoring processes into emerging technology, ensuring that design and production is fit for purpose and beneficial
                                                                • -
                                                                • Maintain expert knowledge of data ethics toolkits, best practices and contribute to industry working groups on standards for data ethics and responsible innovation.
                                                                • -
                                                                • Define and oversee stakeholder engagement methods to incorporate participatory human-centered design and the consultation of diverse voices across the innovation lifecycle to enhance public understanding and improve the social impacts of technology
                                                                • -
                                                                • Learn continuously, innovate every day and seek opportunities to develop and demonstrate thought leadership with external stakeholders
                                                                • +
                                                                • +Design and Develop data warehousing functionality including the use and management of Snowflake data warehouse, pipelines and monitoring, in partnership with Data Analysts and Architects.
                                                                • +
                                                                • +Design and Develop migration of data warehouses and reports from SQL Server ecosystem to Snowflake and PowerBI.
                                                                • +
                                                                • +Innovate with new approaches to meeting data management requirements for Reuters Data Platform. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
                                                                • +
                                                                • +Partner across the company with analytics teams, engineering managers, architecture teams and data scientists to design and agree on solutions that meet business requirements.
                                                                • +
                                                                • +Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.
                                                                -

                                                                -

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                -

                                                                What you bring

                                                                -

                                                                +

                                                                About You

                                                                +

                                                                You’re a fit for the role of Sr. Data Engineer if your background includes:

                                                                  -
                                                                • University degree or equivalent experience in applied ethics, philosophy, ethical machine learning, human-computer interaction, social and human sciences, or relevant fields
                                                                • -
                                                                • Valued for your knowledge and expertise in data ethics and ethical risk assessments of emerging technology
                                                                • -
                                                                • Experienced in establishing ethical decision-making and monitoring processes
                                                                • -
                                                                • Demonstrated knowledge and experience in conducting analysis around societal expectations, including identifying stakeholder values and defining techniques for engagement and input
                                                                • -
                                                                • Highly adaptable and comfortable working in a nascent field in a demanding and fast-paced environment
                                                                • -
                                                                • Able to identify and proactively consider opportunities outside of conventional thinking, providing multiple solutions to resolve problems and address gaps
                                                                • -
                                                                • Effective in written communication and verbally communicating progress on initiatives in leadership forums
                                                                • -
                                                                • Trusted as a collaborative partner with excellent interpersonal skills who will act with integrity and exemplify ethical practices to fulfill TELUS’ commitments to its customers
                                                                • -
                                                                • Post-secondary degree is a requirement
                                                                • +
                                                                • Minimum bachelor’s degree in computer science and engineering or related field of study, or equivalent experience
                                                                • +
                                                                • 5+ yrs in database/data warehousing/ETL/BI software stack development.
                                                                • +
                                                                • In-depth experience with:
                                                                  - Data warehousing, analysis and reporting technologies like SQL Server Analysis Services, Reporting Services, Tableau, Power BI, Qlik.
                                                                  - ETL looks like AWS Glue, integrate.io, Talend, SQL Server Integration Services
                                                                  - Relational databases (SQL Server, PostgreSQL, Oracle)
                                                                -


                                                                Great-to-haves

                                                                -

                                                                +


                                                                Desired:

                                                                  -
                                                                • Bilingualism in English & French, verbal and/or written
                                                                • -
                                                                • Experience working in a large, matrixed organization
                                                                • -
                                                                • Experienced in implementing multidisciplinary data ethics practices and collaborating in a cross-functional environment working with technology, policy, engineering, product and research teams
                                                                • +
                                                                • Hands-on experience working with AWS ecosystem
                                                                • +
                                                                • Hands-on experience with modern data warehouses like Snowflake, Redshift, Google BigQuery.
                                                                • +
                                                                +

                                                                What’s in it For You?

                                                                +
                                                                  +
                                                                • +COVID-19 Response: Currently, as part of our COVID-19 a majority of our employees are working remotely and following local COVID-19 bylaws and guidelines, with the majority of our offices planning to embrace a hybrid work environment consisting of in-office and remote work in 2022.
                                                                • +
                                                                • +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
                                                                • +
                                                                • +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: work form anywhere (in country); caregiver paid time off, bereavement leave; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
                                                                • +
                                                                • +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking
                                                                • +
                                                                • +Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
                                                                • +
                                                                • +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
                                                                +

                                                                +

                                                                #LI-SS2

                                                                +

                                                                +

                                                                +

                                                                Canada COVID-19 Vaccination Requirement

                                                                +

                                                                +

                                                                Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                                                +

                                                                +

                                                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                +

                                                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                +

                                                                +

                                                                Accessibility

                                                                +

                                                                +

                                                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                +

                                                                +

                                                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                +

                                                                +

                                                                Protect yourself from fraudulent job postings click here to know more.

                                                                +

                                                                +

                                                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                +
                                                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Data-Engineer---News-Technology_JREQ159796?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-11-15T17:24:02.537Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164063747-senior-data-engineer-news-technology-at-thomson-reuters,,expired,2022-11-07T17:19:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +20526af9-1b48-49b6-a4e3-103a622aa558,156497853,TELUS,Senior Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-10-13T17:28:13.951Z,"
                                                                +
                                                                +

                                                                Description

                                                                +

                                                                +

                                                                Join our team

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Data-Ethicist-REMOTE-ON/564983417/,feed-importer@jobboard.io,,,,2023-02-07T23:06:00.000Z,False,0,12,86,https://talenthub.vectorinstitute.ai/jobs/186278243-data-ethicist-remote-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -9fe53bbd-12d7-492d-b6e1-09a5064f94a9,192665224,Scotiabank,"Manager, Adjudication Data Analytics",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.925Z,"

                                                                +

                                                                The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                                                +

                                                                We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                                                +

                                                                Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                                                -

                                                                Requisition ID: 169306

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                                -

                                                                Purpose of Job:

                                                                +

                                                                As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                                                -

                                                                The Adjudication Management function is responsible for working with the Retail and Small Business risk adjudication teams (Loan Adjudication Centres & Loan Underwriting Centres) across the Caribbean region. This function is responsible to peform Data Analytics for the adjudication process considering Operations and Credit Risk.

                                                                +

                                                                As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                                                -

                                                                Job Responsibilities:

                                                                +

                                                                You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                                                -

                                                                The Manager, Adjudication Data Analytics C & CA will work closely with the Director Adjudication to ensure that all adjudication teams are aligned in terms of the risk policies and Bank’s Risk Appetite. Key accountabilities include:

                                                                +

                                                                Here\'s how

                                                                -

                                                                • Develop reports using Data Analytics techniques for the adjudication centres to monitor operational KPIs, loan performance and exception management reporting

                                                                -

                                                                • Apply critical thinking to validate improvements with the adjudication units using data and analytics

                                                                -

                                                                • Manage analytical inquiries related to executive decisions and conducts root cause analysis of key operational issues, providing guidance and advice towards optimal resolution and mitigation while ensuring a timely and high-quality response.

                                                                -

                                                                • Responsible for monitoring the activity of the adjudication teams to provide risk oversight, including providing monthly analysis on early warning indicators, process updates, impact on adjudication from new initiatives or risk policies.

                                                                -

                                                                • Participating in key risk initiatives and projects which focus on the key priorities of the Adjudication teams from the data analytics perspective.

                                                                -

                                                                • Conducting assessments of the operational activity across the adjudication workflow. It is required that the Manager will provide recommendations for efficiency gains and be responsible for implementing these recommendations leveraging data and analytics.

                                                                -

                                                                • Assisting in the preparation of training material and tools for adjudicaiton teams, including communication of changes and updates.

                                                                -

                                                                • Working closely with the heads of the adjudication teams and Quality Assurance to identify areas where processes and procedures may need to be developed to improve the overall consistency of credit risk decisions.

                                                                -

                                                                • Adherence to lean practices and methodology

                                                                -

                                                                • Assist the Director with planning, forecasting, ad hoc requests, research, and strategic projects as they arise

                                                                -

                                                                • Responsible for quarterly Cost Allocation Transfer Pricing Expenses for the Adjudication department

                                                                -

                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

                                                                -

                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy, and managing succession and development planning for the team

                                                                -

                                                                Job Requirements:

                                                                +
                                                                  +
                                                                • Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging PySPARK, Python, SQL, etc
                                                                • +
                                                                • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
                                                                • +
                                                                • Present customer insights to cross-functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
                                                                • +
                                                                • Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                                                • +
                                                                • Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community
                                                                • +
                                                                • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
                                                                • +

                                                                -

                                                                • Minimum bachelor's degree in business, economics, or finance or at least 3 year's working experience in retail banking or risk management
                                                                • Strong skills with data visualization tools such as Power BI, Tableau, SAS
                                                                • Experience on data analytics with a solid grasp of reporting practices and performance measurement tools
                                                                • Strong communication skills
                                                                • Strategic influencing abilities
                                                                • Assertive, and driven to be a change agent
                                                                • Fluent written and spoken English is mandatory
                                                                • Experience in Retail & Small Business banking, finance, credit risk are assets
                                                                • Spanish is an asset

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/192665224-manager-adjudication-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d61d8e1d-f197-4010-a014-c192e1da27bc,193457623,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-02-06T17:24:02.760Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                -

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                -

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                -

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                -

                                                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                -

                                                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                                                -

                                                                Job Description
                                                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                                                -

                                                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                                                -

                                                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                                                -

                                                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                                                -

                                                                Responsibilities

                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                Must haves

                                                                +

                                                                  -
                                                                • Design / execute / measure high impact direct to consumer marketing experiments
                                                                • -
                                                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                                                • -
                                                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                                                • -
                                                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                                                • -
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • -
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • -
                                                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship
                                                                • +
                                                                • Technical Expertise
                                                                    +
                                                                  • Extensive Hands-on and industry experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                                                  • +
                                                                  • Extensive Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
                                                                  • +
                                                                  • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications
                                                                  • +
                                                                  • Experience with Data Visualization tools like Domo/Tableau
                                                                  • +
                                                                  • Strong Quantitative, analytical and problem solving skills
                                                                  • +
                                                                  • 8+ years of progressive and relevant work experience
                                                                  • +
                                                                  +
                                                                • +
                                                                • Business Orientation
                                                                    +
                                                                  • Good business acumen, relationship management and influencing without authority skills
                                                                  • +
                                                                  • Ability to provide actionable recommendations based on data analysis
                                                                  • +
                                                                  • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                                                  • +
                                                                  • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                                                  -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Skill Sets

                                                                -
                                                                  -
                                                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                • -
                                                                • Technical and detail oriented
                                                                • -
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                                                • -
                                                                • A project management mindset to help deliver on time to specifications
                                                                • -
                                                                • Team player while able to work independently
                                                                • -
                                                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                                                • -
                                                                • A profit driven mindset
                                                                • + +
                                                                • Education
                                                                  • Masters/PhD degree in Computer Science Engineering/ Programming/ Statistics/Analytics
                                                                  +
                                                                -

                                                                Qualifications

                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                  -
                                                                • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                                                • -
                                                                • Significant experience with IBM Campaign (Unica) an asset
                                                                • -
                                                                • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                                                • -
                                                                • Knowledge of Python, Azure, Databricks, Hadoop
                                                                • -
                                                                • Experience designing successful direct marketing experiments
                                                                • -
                                                                • Degree in business, science, statistics, engineering, or other quantitative discipline
                                                                • -
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                • +
                                                                • Telecom industry experience
                                                                • +
                                                                • Working experience with Google Cloud Platform
                                                                -
                                                                +

                                                                +

                                                                Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills, which will make you successful in this role and apply!

                                                                +

                                                                +

                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-09T17:29:05.822Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/193457623-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-02-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -55130e11-fb2f-4658-bc69-a99859bfb988,194548082,CIBC,"Director, Treasury Analytics",on_site,"Ontario, Canada",2023-02-09T17:06:02.350Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll be Doing

                                                                -

                                                                -

                                                                This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates. As the Director, Treasury Analytics will drive insights, identify inherent risk drivers of consumer products, and relate relate modeling risk specifications back to the business. You will dive into the underlying mechanics of the specific problems and translate complex concepts into program enhancements and specifications to Technology for development. Communicate complex problems and solutions to senior management and LOB.

                                                                -

                                                                -

                                                                Additionally, you will support the Senior Director, Treasury Analytics to conduct analysis to maintain analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options. You will assist in developing business requirements and conduct QA testing of Treasury systems and assist in applying advanced statistical models and financial engineering techniques to quantify and ensure minimal consumer behaviour risk. You will also assist in implementing and applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation to interpret and explain any resulting output.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-%E2%80%8BSenior-Data-Scientist-C360-Insights-Team-ON/562150417/,feed-importer@jobboard.io,,,,2022-11-16T14:08:47.623Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/156497853-senior-data-scientist-c360-insights-team-at-telus,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, +7e2161b7-d2cf-4f5e-9a69-f1b38286f867,156497810,Omers,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-10-13T17:28:07.182Z,"
                                                                OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

                                                                -

                                                                How You’ll Succeed

                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                  -
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities, and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms/measures and mitigate model risk.

                                                                • -
                                                                • Support the management and enhancement of Cash-Flow Modeling Books - Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhance PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • -
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedgeable risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain and develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • -
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • -
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • +
                                                                • Interpreting data, analyze results using statistical techniques and provide regular, timely, accurate reports and dashboards
                                                                • +
                                                                • Gathering business requirements and documentation following Agile Practices
                                                                • +
                                                                • Work with Product Managers and Stakeholders to prioritize business data needs
                                                                • +
                                                                • Locate and define new process improvement opportunities
                                                                • +
                                                                • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                                                • +
                                                                • Understand and communicate complex business concerns and solutions in clear and concise manner
                                                                • +
                                                                • Identify, analyze, and interpret trends or patterns in complex data sets
                                                                • +
                                                                • Filter and clean data as part of each development initiative
                                                                • +
                                                                • Develop Power BI semantic models, dashboards and reports

                                                                -

                                                                Who You Are

                                                                +

                                                                To succeed in this role, you have:

                                                                  -
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • -
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • -
                                                                • You can demonstrate experience. In ALM, Product Analytics, Risk Management. Experience in quantitative analytics within banking and/or other financial institutions in areas of valuation, hedging and risk measurement is an asset. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high level languages. Experience working with banking retail products such as commitments, mortgages or GICs is an asset.

                                                                • -
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have knowledge of advanced GLM (including Cox regression), panel time series, and model selection.

                                                                • -
                                                                • You have a degree/diploma. Masters and/or Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics or related technical field with work experience in applied mathematical, statistical, and/or stochastic modeling.

                                                                • -
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • +
                                                                • Must have 5+ years of Hands on experience with Data Modeling, Power BI desktop, Power Query, Azure Data Factory and Azure SQL Server
                                                                • +
                                                                • Must have experience working with one or more programming, scripting, and analytical languages such as DAX, MDX, T-SQL, Python, PowerShell
                                                                • +
                                                                • Must have experience building semantic data modeling and publish datasets accordingly
                                                                • +
                                                                • Understanding row level, object level security rules and roles in projects and workspaces is an asset.
                                                                • +
                                                                • Experience working with Power BI external tools such as Tabular Editor, DAX studio and Vertipaq Analyzer is an asset.
                                                                • +
                                                                • Good Understanding of Data Warehouse concepts
                                                                • +
                                                                • Ability to design and build reports, dashboards, data visualizations and analytics using Power BI
                                                                • +
                                                                • Ability to write complex queries using SQL.
                                                                • +
                                                                • Proven Hands on experience with Azure DevOps deployment Pipelines.
                                                                • +
                                                                • Good Knowledge and understanding of Data Governance and Security Measures.
                                                                • +
                                                                • Experience with SSIS is an asset
                                                                • +
                                                                • Good hands on experience working with streaming data.
                                                                • +
                                                                • Have experience in Analyzing the BI needs, interpreting business user requirements and translating them into reports.
                                                                • +
                                                                • Knowledge of statistics and experience using statistical packages for analyzing datasets.
                                                                • +
                                                                • Strong analytical skills with the ability to collect, organize, analyze, and visualize the data.
                                                                • +
                                                                • Strong written and verbal communication skills
                                                                • +
                                                                • Ability to handle multiple tasks concurrently
                                                                • +
                                                                • Ability to take initiative, multi-task and work in an agile environment
                                                                • +
                                                                • A team player and motivated self-starter
                                                                • +
                                                                • Bachelor’s Degree in Computer Science, Engineering or a related technical field

                                                                -

                                                                What CIBC Offers

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                -
                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • -

                                                                -

                                                                What you need to know

                                                                -
                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • -

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-161 Bay St 11th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Asset and Liability Management (ALM), Communication, Critical Thinking, Fixed Income Valuation, Hedging, Product Analytics, Python, Quantitative Analytics, Risk Management, Structured Query Language (SQL), Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-161-Bay-St-11th-Floor/Director--Treasury-Analytics_2301981?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-11T20:44:30.867Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/194548082-director-treasury-analytics-at-cibc,,expired,2023-02-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -ef93c6bb-0e92-41db-9cc1-1c72f13f5d15,189570730,CN,"Intern, Enterprise Architecture",on_site,"Ontario, Canada",2023-01-23T17:42:07.850Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Enterprise Architecture position in Canada for summer 2023 (May – August).

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Enterprise Architecture is responsible for supporting emerging technologies and innovation practices. The incumbent researches the latest technology trends applicable to railroading and has the opportunity to communicate trends and innovations to the larger CN I&T community. The role is exposed to the fundamental workings of the railroad across many business disciplines as well as to Research and Development (R&D), architecture, and solution delivery best practices. The position is performed within a team of experienced thought leaders and passionate professionals that solve exciting enterprise challenges in a fun and collaborative atmosphere. The exceptional breadth of exposure to numerous opportunities from “classic” mainframe systems to the bleeding edge of distributed Artificial Intelligence (AI), from telecom to finance and everything in between provides a unique opportunity to understand the workings of a large supply chain enabler.

                                                                -

                                                                Major Responsibilities

                                                                -
                                                                  -
                                                                • Learn the key elements of railroading
                                                                • -
                                                                • Research technology trends in the railroad and adjacent industries then document how they would be applied
                                                                • -
                                                                • Prepare technical radars and reports for specific innovation topics
                                                                • -
                                                                • Assess potential suppliers on their product and service offering, including both start-ups and market leaders
                                                                • -
                                                                • Support the delivery of proof of concept and prototyping initiatives, including business cases, data gathering, and delivery planning
                                                                • -
                                                                • Develop and execute innovative communication strategies for digital tools such as Yammer and SharePoint
                                                                • -
                                                                • Create standard templates for research requests
                                                                • -
                                                                • Shadow meetings with research partners and suppliers
                                                                • -
                                                                -

                                                                Requirements

                                                                +

                                                                Vaccination Policy

                                                                +

                                                                +

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Analyst_JR-3169-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-16T14:03:31.579Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/156497810-senior-data-analyst-powerbi-at-omers,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +77efad39-3386-42d5-8a80-5445110732a0,157319824,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2022-10-17T15:06:50.775Z,"

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                                                +

                                                                As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                                                +

                                                                Must-Have

                                                                  -
                                                                • Shows initiative and empowers others
                                                                • -
                                                                • Identifies opportunities
                                                                • -
                                                                • Solves problems using analytical thinking
                                                                • -
                                                                • Inspires others with impactful communications and adapts to the audience
                                                                • -
                                                                • Collaborates with others
                                                                • -
                                                                • Deals with pressure and change by staying calm to quickly adapt to changes
                                                                • -
                                                                • Knowledge of Scientific written communication and technology principles
                                                                • -
                                                                • Knowledge of AI, Machine Learning, Internet of Things (IoT), Big Data, Computer Vision, advanced analytics, automation, and positioning technologies
                                                                • -
                                                                • Knowledge of technologies and practices such as Optimizers, Unmanned Aircraft Systems (UAVs), wearables, extended reality, Blockchain, autonomous vehicles, digital twins, edge computing, control towers, data governance, and railroad operations*
                                                                • -
                                                                • Advanced knowledge of Microsoft Suite (Excel, PowerPoint, Word)
                                                                • -
                                                                • Knowledge of Teams and SharePoint
                                                                • +
                                                                • Experience with building and scaling data-intensive software in Java
                                                                • +
                                                                • You value good software design and sweat over details in code and API design
                                                                • +
                                                                • Knowledge of machine learning modelling workflow
                                                                • +
                                                                • You enjoy learning new technology and also educating others
                                                                • +
                                                                • You strive to communicate clearly and with empathy
                                                                • +
                                                                • You take great personal pride in building robust and scalable software
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                -

                                                                Education

                                                                -
                                                                • Working towards a Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or Business
                                                                -

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                -

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9486?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-30T17:47:05.505Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/189570730-intern-enterprise-architecture-at-cn,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -9ae1caf6-a4f1-46ff-a570-b09d2d3ab8e7,185923384,RBC,Senior Full Stack Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:06:51.221Z,"

                                                                RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

                                                                -

                                                                Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

                                                                -

                                                                Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                -

                                                                Senior Full Stack Engineer

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                What if you could use your technology skills to work on products that make an impact when it comes to delivering unforgettable client experiences? Our team is building capabilities that enable the end-to-end transformation of our customers' journeys –building and leading with technologies that put data privacy and responsible AI practices at the forefront. We’re a team of resilient, collaborative people with a hunger for learning and delivering trusted data and AI-powered capabilities to support top-notch client experiences and we have our sights set on building the tech stack of the future with modern, flexible architecture by building once, and reusing across channels – how’s that for efficiency?

                                                                -

                                                                We’re building a team who is not afraid to challenge the status quo, embraces innovation, and is excited to bring a fresh perspective. We’re looking for a talented and passionate Lead Engineer to join our team in Toronto. People who join our team will be able to work on the most innovative solutions to enable self-service analytics capabilities delivered via both public and private cloud platforms using event and microservices-based architectures. Join our team today and magnify your impact influencing the future of banking on a global scale. RBC is committed to being the destination of choice for technologists, driven by our engineering culture of curiosity, bold ambition and outcomes

                                                                -

                                                                What will you do?

                                                                -

                                                                As the Lead Full Stack Engineer, you will play a key role in our immediate and long-term strategic technical delivery direction for a multi-disciplined team of technologists. Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that render a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

                                                                -

                                                                If you have a passion for delivering top-notch data and AI-driven services and applications and are passionate about data privacy, security and responsible AI related technologies - we have a spot for you on our team.

                                                                +

                                                                Nice to have

                                                                  -
                                                                • Design & execution of hybrid and multi-cloud application deployments of AI/ML-driven applications and data services that enable our trusted data and AI mission
                                                                • -
                                                                • Develop methodologies & frameworks for systematically validating the performance, security, and trustworthiness of deployed ML models
                                                                • -
                                                                • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                                                • -
                                                                • Actively engage with stakeholders to gather requirements and ideate software solutions and support creation of scalable software
                                                                • -
                                                                • Write clean, functional code for large-scale distributed applications
                                                                • -
                                                                • Test software (unit, system, integration and acceptance testing) to ensure responsiveness and efficiency and where required troubleshoot, provide solutions to fix / debug and upgrade software
                                                                • -
                                                                • Partner with and support other teams as required; there are many teams, yet we are one team.
                                                                • -
                                                                • Leverage best practices in continuous integration and delivery, with a strong commitment to quality
                                                                • -
                                                                • Explore new capabilities and technologies to drive innovation
                                                                • -
                                                                -

                                                                Must-have

                                                                +
                                                              • Experience building a library or a framework
                                                              • +
                                                              • Knowledge of machine learning algorithms
                                                              • +
                                                              • Experience with Kubernetes
                                                              • +
                                                              • Data analytics
                                                              • +
                                                              • Comfortable with math or statistics
                                                              • +",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,careers@layer6.ai,https://layer6.ai/careers/,,,2022-11-16T15:06:53.778Z,False,0,5,52,https://talenthub.vectorinstitute.ai/jobs/157319824-machine-learning-engineer-framework-at-layer-6,,expired,2022-10-17T15:06:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +cd386386-0a89-4e0a-8545-66b2720598fb,109607350,Bell Canada,"Developer, Data Science, Bell Media",on_site,"Toronto, Ontario",2022-02-18T14:18:29.847Z,"

                                                                Req Id: 350091

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.

                                                                +

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

                                                                +

                                                                +

                                                                About the team:

                                                                +

                                                                Bell Media’s Data Science and Infrastructure team is building out the next generation of experience for customers across Digital and Linear properties. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive performance enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                +

                                                                +

                                                                Bell Media’s Data Science & Infrastructure team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions.

                                                                +

                                                                +

                                                                We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization. They will report to Senior Manager, Data Science & Product Intelligence and will play a key role in developing AI/ML products across Bell Media.

                                                                +

                                                                +

                                                                Key Responsibilities:

                                                                  -
                                                                • Experience (6+ years) working software delivery teams in mid to large software/IT organizations developing scalable, highly available and performant applications and microservices, participating in design sessions and code reviews with skills in the following areas:
                                                                    -
                                                                  • Data Engineering & API Development: expertise in at least one major programming language (Java, Python, Scala etc.) and messaging technology (e.g., Kafka etc.)
                                                                  • -
                                                                  • Security frameworks: Kerberos, OAuth 2.0, Vault integration
                                                                  • -
                                                                  • Cloud and Containers: AWS, OpenShift, Docker, Pivotal Cloud Foundry
                                                                  • -
                                                                  • SQL/Data Stores: PostgreSQL, S3, HDFS, Elasticsearch, Redis etc.
                                                                  • -
                                                                  • DevOps: Git, Jira, Jenkins, Confluence etc.
                                                                  • -
                                                                  -
                                                                • -
                                                                • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others
                                                                • -
                                                                • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
                                                                • -
                                                                • Great attention to detail, organizational skills and an analytical mind
                                                                • +
                                                                • Support the cycle of machine learning product development from inception to launch to monitoring
                                                                • +
                                                                • Collaborate with cross-functional, agile teams of data engineers, ML engineers, and product managers in solving business problems
                                                                • +
                                                                • Build, automate, and maintain machine learning pipelines for training machine learning models cloud systems
                                                                • +
                                                                • Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
                                                                -

                                                                Nice-to-have

                                                                +

                                                                +

                                                                Minimum Qualifications:

                                                                  -
                                                                • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies
                                                                • -
                                                                • IAPP CIPT Certified
                                                                • +
                                                                • Proven track record of continuous learning
                                                                • +
                                                                • Intermediate knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                                                                • +
                                                                • 3-5+ Years Python for data science experience
                                                                • +
                                                                • Hands-on experience with popular AI/ML frameworks
                                                                • +
                                                                • Intermediate Python development skills with solid understanding of code design, algorithms, and data Structures
                                                                • +
                                                                • Experience with SQL and database systems
                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                +

                                                                Preferred Qualifications:

                                                                  -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Opportunity to work on cool stuff and make a difference
                                                                • -
                                                                • Work in a fun, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Access to world-class learning resources and relevant programs
                                                                • -
                                                                • Flexible, hybrid work/life balance options
                                                                • +
                                                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
                                                                • +
                                                                • Skilled communicator with a proven record of leading projects across disciplines
                                                                • +
                                                                • Experience with CI/CD pipelines
                                                                • +
                                                                • Experience with development and deployment ML Models
                                                                • +
                                                                • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
                                                                • +
                                                                • Experience with distributed data and cloud computing resources such as AWS, GCP
                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                -

                                                                TORONTO, Ontario, Canada

                                                                -

                                                                City:

                                                                -

                                                                CAN-ON-TORONTO

                                                                -

                                                                Country:

                                                                -

                                                                Canada

                                                                -

                                                                Work hours/week:

                                                                -

                                                                37.5

                                                                -

                                                                Employment Type:

                                                                -

                                                                Full time

                                                                -

                                                                Platform:

                                                                -

                                                                Technology and Operations

                                                                -

                                                                Job Type:

                                                                -

                                                                Regular

                                                                -

                                                                Pay Type:

                                                                -

                                                                Salaried

                                                                -

                                                                Posted Date:

                                                                -

                                                                2022-12-14-08:00

                                                                -

                                                                Application Deadline:

                                                                -

                                                                2023-01-31-08:00

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T15:08:00.000Z,False,2,0,27,https://talenthub.vectorinstitute.ai/jobs/185923384-senior-full-stack-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:06:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -8152bf20-60bc-4e7c-b859-be66aebba696,186278244,TELUS,"Senior Strategy Manager, Data Platforms",on_site,"Ontario, Canada",2023-01-12T17:42:04.376Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                The Enterprise Data Layer team designs, implements and oversees the GCP analytics platform at TELUS. Known as the DataHub, our team architects and operationalizes the underlying infrastructure used to power data solutions that drive value and deliver results from analytics. Our platforms provide the organization with modern cloud native services, modern BI tools, DataOps methodologies and processes, and a self-serve data environment to test & learn and productionalize data models enabling data driven decisions. Our vision is to empower our TELUS business partners with a standardized platform utilizing infrastructure, policy and governance as code, setting guide rails for teams to develop their data & analytics use cases within our cloud data platform and BI toolsets.

                                                                -

                                                                We are looking for enthusiasts who can help build our next generation solutions enabling best-in-class data platforms with a focus on expanding our capabilities while ensuring always available analytics in Google’s Cloud Platform. You will support digital transformation at TELUS by partnering with teams across the organization to make better use of their data. Use your strong communication, critical thinking and change management experience to assess the impact of transformation on our partner teams, the upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS.

                                                                +

                                                                NOTE: There are 2 openings available - one will be full-time permanent, one will be full-time temporary (contract of 12 months). Please indicate in your application if you are interested in being considered for one or both employment types.

                                                                -

                                                                What you’ll do

                                                                +

                                                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status: Regular - Full Time
                                                                Job Location: Canada : Ontario : Toronto

                                                                +

                                                                Flexible work profile: Mobile
                                                                Application Deadline: 02/18/2022

                                                                +

                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                +

                                                                +

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                +

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                +

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA350091EXTERNALENCA/Developer-Data-Science-Bell-Media?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-02-22T22:42:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/109607350-developer-data-science-bell-media-at-bell-canada,BECACA350091EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +de76ec36-602d-479e-92e9-3592d6575f50,157435780,Linamar,Software Engineer,on_site,"Guelph, ON, Canada",2022-10-17T18:36:04.289Z,"

                                                                Job Title: Engineer, Software

                                                                +

                                                                Innovation Hub

                                                                +

                                                                Are you someone who is eager to learn by being at the forefront of new technology?

                                                                +

                                                                You should have a good understanding of machine deep learning and power electronics and processes, along with growing experience in fast-paced manufacturing / production environments.

                                                                +

                                                                Powering Vehicles, Motion, Work, and Lives since 1966.

                                                                +

                                                                Responsibilities

                                                                +

                                                                Ensure compliance with all legislative requirements in the facility’s geographic location and:

                                                                  -
                                                                • Support the establishment of data a shared strategy across the enterprise to enable the business to meet its strategic and financial objectives
                                                                • -
                                                                • Support the creation of automated work intake process, prioritization, metrics, process improvements and resource alignment to planned roadmaps
                                                                • -
                                                                • Drive a governed approach with increasing maturity around our data & analytics platforms and tools
                                                                • -
                                                                • Liaise with our business and IT partners to ensure alignment on roadmaps and strategic initiatives delivering value and supporting a data driven culture
                                                                • -
                                                                • Lead annual strategy reviews for the Enterprise Data Platforms team and collaborate with owners in our larger business unit including coordination and material creation
                                                                • -
                                                                • Monitor trends, innovation and opportunities in the industry and with our Vendors
                                                                • -
                                                                • Support your DataOps team members in delivering the ideal cloud data architecture with a focus on self-serve, efficiency, security and privacy
                                                                • -
                                                                • Identify opportunities for automation and implement in the development and production process
                                                                • -
                                                                • Support our internal web presence, knowledge portal, intake process, and “Quick Reference Guides” increasing customer awareness and standardization of data environments across TELUS
                                                                • -
                                                                • Author quality documentation and materials to support messaging around new data capabilities, services and analytics tools, roadmaps, customer onboarding to our data platform, roadmaps, change management and alignment across IT teams
                                                                • +
                                                                • +· The Global Operating System Plays;
                                                                • +
                                                                • +· OHSAS 18001: Health and Safety management system standard;
                                                                • +
                                                                • +· ISO 14001: Environmental Management system standard;
                                                                • +
                                                                • +· TS 16949 Technical Specification Management and Linamar Quality Basics system standards.
                                                                • +
                                                                • Power Electronics
                                                                • +
                                                                • Wire bonding
                                                                • +
                                                                • PCB/Electronics manufacturing
                                                                • +
                                                                • Experience in one or more of the following:
                                                                  • Full-Stack Development Experience
                                                                  +
                                                                • +
                                                                • Full end to end solutions (backend to frontend framework development experience)
                                                                • +
                                                                • System architecture and design decision experience
                                                                • +
                                                                • High-volume production environments, ideally with software application development teams
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -


                                                                What you bring

                                                                -

                                                                +

                                                                Support, Foster, Promote and Demonstrate Linamar’s Core Values and Leadership Behaviors.

                                                                +

                                                                Maintain balance between customer, employee and financial satisfaction by maximizing facility/department Performance Indicators to align to Linamar’s Stepping Stool of Success Strategy.

                                                                +

                                                                Support and maintain department lean initiatives as set out in LPS system requirements.

                                                                +

                                                                Maintain department 5S requirements.

                                                                +

                                                                Develop a clear understanding of our factory-floor requirements for the use of IoT data.

                                                                +

                                                                Engage in effective and collaborative communications to ensure timely and efficient development processes.

                                                                +

                                                                Participate in all aspects of development lifecycles: Ideation, Design, Build, Test, Operate.

                                                                +

                                                                Collaborate with all aspects within the organization, from end users to management, from product managers, to system owners to ensure a best in class product.

                                                                +

                                                                Translate User Requirements into Technical Requirements with the Business-In-Mind.

                                                                +

                                                                Experience

                                                                +

                                                                To effectively contribute to this team, the role requires

                                                                +

                                                                3+ Years in an Engineering, Operations, DevOps, Manufacturing, Automation or similar environment.

                                                                +

                                                                System virtualization, networking, and data storage technology

                                                                +

                                                                Machine learning

                                                                +

                                                                Python Programming

                                                                +

                                                                Autoencoder development

                                                                +

                                                                Statistical analysis

                                                                +

                                                                Data science

                                                                +

                                                                Industrial controls and automation

                                                                +

                                                                Understanding of industrial controls, software, and supporting devices (Cameras, Robots)

                                                                +

                                                                Organized and proficient at time management

                                                                +

                                                                A skilled communicator, facilitator and team player

                                                                +

                                                                Energized working in a fast-changing environment

                                                                +

                                                                Additional assets for consideration include experience in:

                                                                +

                                                                What Linamar Has To Offer

                                                                  -
                                                                • 5-7 years of experience in a Management Consulting, Digital agency or Corporate Strategy with a large organization
                                                                • -
                                                                • 3-5 years of experience working in Technology
                                                                • -
                                                                • Experience helping organizations evolve their way of working, defining and implementing new operating models and standing up Transformation efforts
                                                                • -
                                                                • You are an exceptional communicator that excels at compelling storytelling and presentations
                                                                • -
                                                                • You have good understanding of Data & Analytics principles and tools and digital transformation initiatives
                                                                • -
                                                                • You have experience managing business stakeholders and engaging with many diverse technical teams to aligning deliverables
                                                                • -
                                                                • You have a proven track record of engaging with technical leaders and SMEs to create quality roadmaps to be reviewed and accepted at a senior level within the organization
                                                                • -
                                                                • You are collaborative and able to work with various IT and business teams to deliver on outcomes
                                                                • -
                                                                • You are able to share a vision and implement long-term data strategies while providing value early and often along the journey
                                                                • -
                                                                • You can distill complex solutions and interactions to gain support and engagement with senior leaders and business stakeholders
                                                                • -
                                                                • You have experience working with IT vendors and corporate partners
                                                                • +
                                                                • Opportunities for career advancement.
                                                                • +
                                                                • Community based outreach supporting both local and global initiatives and charities.
                                                                • +
                                                                • Social committees and sports teams.
                                                                • +
                                                                • Discounts for local vendors and events, including auto supplier discounts.
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +

                                                                About Us

                                                                +

                                                                Linamar Corporation is a Canadian diversified global manufacturing company of highly engineered products across global industries & markets. From the entrepreneurial seeds planted by our dynamic founder, to the support provided along the way, all Linamar employees are poised for success in this fast-paced and rapidly growing environment. With access to the tools you need to succeed, you will make an impact along with other motivated and engaged people.

                                                                +

                                                                Linamar is committed to promoting accessible recruitment as outlined in the Accessibility for Ontarians with Disabilities Act. Linamar will attempt to accommodate persons with a disability in an appropriate and effective manner throughout all stages of the recruitment process. Accommodations will be provided upon request.

                                                                ",robyn.gladstone@linamar.com,,robyn.gladstone@linamar.com,http://www.linamar.com,,,2022-11-18T15:16:31.265Z,False,4,0,64,https://talenthub.vectorinstitute.ai/jobs/157435780-software-engineer-at-linamar,,expired,2022-10-17T18:36:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Manufacturing ,Associate,College Diploma,New Posting, +bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowships,on_site,"Toronto, ON, Canada",2022-10-20T14:44:16.353Z,"

                                                                Supporting academic research sits at the core of Borealis AI. Our Graduate Fellowship program has been designed to help exceptional domestic and international students achieve their goals as they pursue graduate degrees at a Canadian university in ML or AI.

                                                                +

                                                                Who can apply:
                                                                Application eligibility criteria

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                How to Apply

                                                                +
                                                                • Please gather the following materials in order to proceed with your application. You will not be able to save the application once you start. The deadline to submit your application is 11:59 pm ET on November 8, 2022.
                                                                +

                                                                ",,https://www.borealisai.com/program/fellowships/,aitalent@vectorinsitute.ai,https://www.borealisai.com/en/careers/,,,2022-11-19T14:44:21.710Z,False,0,16,165,https://talenthub.vectorinstitute.ai/jobs/158105432-borealis-ai-fellowships-at-borealis-ai,,expired,2022-10-20T14:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Fellowship,PhD,New Posting, +280e0938-0700-4956-b25e-a90f06dfd93e,179957093,CIBC,"Senior Consultant, Advanced Analytics",on_site,"Ontario, Canada",2022-12-22T17:06:04.967Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What you’ll be doing

                                                                +

                                                                +

                                                                Reporting to the Director, Advanced Analytics you will be a senior contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Senior Consultant will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How you’ll succeed

                                                                  -
                                                                • Experience with Google Cloud Platform
                                                                • -
                                                                • Enterprise Architecture experience specifically in the data space
                                                                • -
                                                                • Experience with FinOps and Cloud platform budget management
                                                                • -
                                                                • University degree in Business, Information Technology Management or Engineering
                                                                • +
                                                                • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.
                                                                • +
                                                                • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.
                                                                • +
                                                                • Work closely with IA and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.
                                                                • +
                                                                • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.
                                                                • +
                                                                • Provide technical, motivational and strategic thought leadership to the Advanced Analytics team in planning and executing in-depth data analysis supporting a variety of audit activities.
                                                                • +
                                                                • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.
                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Strategy-Manager%2C-Data-Platforms-ON/564894117/,feed-importer@jobboard.io,,,,2023-02-11T21:01:28.872Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/186278244-senior-strategy-manager-data-platforms-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -cc231964-476c-4fcd-86bf-26aa4486a24f,208690166,BMO Financial Group,"Digital Strategy & Insights Analyst, Summer 2023 (Co-o/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.306Z,"
                                                                -

                                                                Address:

                                                                55 Bloor Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +

                                                                +

                                                                Who you are

                                                                  -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • -
                                                                • Analyzes issues and determines next steps.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                                                • -
                                                                • Specialized knowledge.
                                                                • -
                                                                • Verbal & written communication skills - Good.
                                                                • -
                                                                • Organization skills - Good.
                                                                • -
                                                                • Collaboration & team skills - Good.
                                                                • -
                                                                • Analytical and problem solving skills - Good.
                                                                • +
                                                                • +A degree (preferably at the graduate level) in Management Science, Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background.
                                                                • +
                                                                • +5+ years of experience and advanced practical and theoretical knowledge in data analytics, quantitative modeling, BI or statistical analysis
                                                                • +
                                                                • +Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.
                                                                • +
                                                                • +Great communication skills, verbal and written as well as a great storyteller who can visually bring to life what data and analytics is showing us.
                                                                • +
                                                                • +Strong organization, leadership, and team-oriented skills. Demonstrated ability to collaborate as well as lead across a matrix organization to execute on priorities, influence change and deliver results.
                                                                • +
                                                                • +Comprehensive knowledge of data analysis tools, languages, and methodologies. (SAS, Tableau, Python, Oracle RDBMS, Azure, Cloud Computing), knowledge of CIBC data sources, applications and system platforms is a benefit.
                                                                +

                                                                +

                                                                What CIBC offers

                                                                +

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                                • +
                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                -

                                                                -

                                                                We’re here to help

                                                                +

                                                                Job Location

                                                                Toronto-81 Bay, 26th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Advanced Analytics, Business Analysis, Data Analysis, Data Analysis Tools, Financial Services, Statistics, Visual Analytics
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Advanced-Analytics_2243017?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-01-12T22:02:00.000Z,False,0,3,3,https://talenthub.vectorinstitute.ai/jobs/179957093-senior-consultant-advanced-analytics-at-cibc,,expired,2022-12-22T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +13e684ec-bdb1-423c-9d71-ad91969db2b4,179960718,Sun Life Financial,"Data Analyst, Rewards & Recognition",on_site,"Ontario, Canada",2022-12-22T17:41:05.025Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                Job Description:

                                                                +

                                                                +

                                                                The Data Analyst, Recognition provides data analytics support for multiple annual recognition programs and campaigns available to approximately 1,800 Sun Life Advisors.

                                                                +

                                                                +

                                                                Preferred skills

                                                                +

                                                                · Minimum 3 years\' experience in data analytics and business intelligence, including predictive analytics and data modeling.

                                                                +

                                                                · Degree in business administration, finance, economics, computer science, statistics, mathematics, engineering, or equivalent is required.

                                                                +

                                                                · Experience building and maintaining Excel Macros and VBA programs.

                                                                +

                                                                · Experience using data analysis tools such as Microsoft SQL server or similar.

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                Qualifications

                                                                +

                                                                · Expert knowledge in the Microsoft suite of products (Excel, Word etc.) with proven experience with VBA, as well as advanced Excel functions

                                                                +

                                                                · Highly motivated individual who can execute independently with minimal direction

                                                                +

                                                                · Proficient in data investigation and compilation with multiple data sources

                                                                +

                                                                · Technical aptitude: ability to learn new tools and software quickly and understand technical concepts

                                                                +

                                                                · Strong analysis, investigative and problem-solving skills

                                                                +

                                                                · Innovative thinker; able to identify and champion proposals for approval

                                                                +

                                                                · Builds context by pushing beyond ""how things are done"" to understand ""why"" and uncover the underlying principles shaping the business

                                                                +

                                                                · Ability to extract, manipulate and simplify data through a variety of tools and techniques

                                                                +

                                                                · Process improvement skills with a demonstrated ability to produce meaningful results from data

                                                                +

                                                                · Strong communication and interpersonal skills; ability to explain business concepts to IT partners, and technical concepts to business partners

                                                                +

                                                                · Attention to detail and in-depth planning, organizational and time management skills

                                                                +

                                                                · Positive attitude to thrive in a dynamic, fast-paced environment, and quickly find alternative solutions to challenges

                                                                +

                                                                · Flexibility: Ability to accept change, and adapt well to ambiguous situations

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Responsibilities

                                                                +

                                                                · Lead incentive program modelling efforts by extracting data, analyzing, and drafting insights from previous programs; present proposals for future programs to the Recognition team and senior leadership for approval.

                                                                +

                                                                · Generate reports, develop, and maintain databases by acquiring data from various sources, build scripts that will make data evaluation process more flexible or scalable across data sets.

                                                                +

                                                                · Analyze and model data to showcase rich interactive visualizations to extract insights, to drive for strategic business decisions to drive performance.

                                                                +

                                                                · Adjust Excel VBA macros to include new requirements for annual programs, quarterly campaigns, and ad hoc incentives; ensuring data quality and timely delivery of the report.

                                                                +

                                                                · Work with the internal programming team to implement and test changes to automate Recognition program reporting.

                                                                +

                                                                · Support data and insights requests after each incentive program period to deliver the performance analysis and present them to the team and leadership.

                                                                +

                                                                · Support data warehousing in identifying and revising reporting requirements.

                                                                +

                                                                · Support ad hoc data and performance requests from leadership.

                                                                +

                                                                · Complete monthly, quarterly, annual program status reporting.

                                                                +

                                                                · Attend regular Recognition team meetings and provide data and insights in these meetings as required.

                                                                +

                                                                · Build new reports in Excel or Tableau as required to support the continuous improvement efforts of Recognition team.

                                                                +

                                                                · Ensure that business and technical requirements are captured in proper documentation and maintained.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Strategy---Insights-Analyst--Summer-2023--Co-o-Internship--4-months_R230003404?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-03T21:45:00.000Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/208690166-digital-strategy-insights-analyst-summer-2023-co-o-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ae3f061a-4a0f-401c-9b50-77c52b18082f,210223744,Roche,Data Scientist,on_site,"Ontario, Canada",2023-03-30T17:42:06.543Z,"
                                                                -

                                                                The Position

                                                                -

                                                                Role: Data Scientist

                                                                -

                                                                Type: FTE

                                                                -

                                                                Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

                                                                -


                                                                As a Data Scientist at Roche Pharma, you’ll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD). You will be responsible for the strategic and analytical activities of the molecules and devices in our
                                                                pipeline on a level matching your seniority.

                                                                -


                                                                DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.

                                                                -


                                                                Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

                                                                -

                                                                - Delivers data analysis products such as data tabulations, analysis datasets, statistical tables/listings/figures, and interactive applications related to clinical trial data and analysis
                                                                - Supports study results reporting by producing these deliverables in collaboration with internal and external colleagues
                                                                - Provides analytical and programming expertise, and contributes to the production of programming packages and functions that can be used across studies and molecule programs
                                                                - Supports regulatory submissions to health authorities and contributes to data standardization in order to maximize reusability

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Key Accountabilities

                                                                -

                                                                Data Sciences Leadership

                                                                -

                                                                - Accountable for the development and implementation of Data Sciences products.
                                                                - Lead and/ or support multiple elements of the drug development process across various phases of clinical trials.
                                                                - Lead and/ or support regular review of opportunities to simplify and innovate, and collaborate with experts in DSS, PDD and beyond to accelerate and deliver patient benefits faster.
                                                                - Lead and/ or support prioritization efforts, demonstrating urgency and taking smart risks to make considered decisions in a fast-paced, evolving environment.

                                                                -


                                                                Drug Development Strategy and Execution

                                                                -

                                                                - Lead or contribute technical expertise to multiple elements of the business, including: strategic planning; communication; and implementation.
                                                                - Support and/or represent DSS and PDD across multiple functions of the Roche global organization, which may include; Pharma Research and Early Development (pRED); Genentech Research and Early Development (gRED); PD; Market Access, Global Product Strategy (GPS); and Pharma Technical (PT).
                                                                - Purposefully collaborate and influence to support PDD to be at the forefront of our industry for Data Sciences.
                                                                - Collaborate with Global Health Authorities to support our product pipeline.
                                                                - Build strong partnerships and opportunities to collaborate and innovate with varying stakeholders across the Roche global organization in support of Roche products, programs, processes, systems, and/or compliance.

                                                                -


                                                                Career Development

                                                                -

                                                                - Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different Specialties and Disease Areas.
                                                                - Role model knowledge sharing within DSS, PDD, and beyond.
                                                                - Act as a coach, mentor, or buddy to help colleagues grow and develop.

                                                                -


                                                                Technical Accountability

                                                                -

                                                                - Contribute technical, therapeutic and business expertise within and external to DSS and PDD, which may include: Research and Development products; Drug development and clinical trial products; Current and new technologies; Working with external data and external organizations; Global Health Authority requirements; Data Sciences industry landscape; Statistical methods and techniques; Analytical strategies; Programming languages; Software development; Data standards; Therapeutic area expertise; Outsourcing expertise; Findable,
                                                                Accessible, Interoperable, and Reusable (FAIR) Data Principles; Data Citizenship; Data Privacy; Best practices; and Process improvements, etc.
                                                                - Explore ways of modernizing insight generation through new innovative tools and technology.
                                                                - Build expertise in novel data types, statistical methods, programming languages, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
                                                                - Demonstrate a good level of system awareness.

                                                                -


                                                                Qualifications

                                                                -

                                                                Additional educational and technical qualifications may be added based upon the Specialty being recruited.
                                                                - College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
                                                                - Experience in the pharmaceutical/biotech industry is preferred.
                                                                - Understanding of the end-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
                                                                - Track record of establishing successful internal partnerships and collaborations.
                                                                - Influential and confident communicator
                                                                - Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
                                                                - Fluency in written and spoken English
                                                                - Ability to work across multiple cultures and countries
                                                                - Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
                                                                - Willingness to travel as required

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                Who we are

                                                                -

                                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                Roche is an Equal Opportunity Employer.

                                                                -
                                                                ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202301101881EXTERNALENGLOBAL/Data-Scientist,feed-importer@jobboard.io,,,,2023-04-03T17:47:05.253Z,False,0,10,46,https://talenthub.vectorinstitute.ai/jobs/210223744-data-scientist-at-roche,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Associate,College Diploma,New Posting, -a4a57f23-fd71-456e-90d8-7d8a25d5d24a,206568605,RBC,"Manager, Fraud Detection Analytics",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.484Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Manager, Fraud Detection Analytics

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                As a Manager, Fraud Detection Analytics, you will be responsible for the development and execution of fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC’s Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.

                                                                -

                                                                -

                                                                Please Note: This position is not a people manager role and we welcome applicants from across Canada.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
                                                                • -
                                                                • Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
                                                                • -
                                                                • Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
                                                                • -
                                                                • Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
                                                                • -
                                                                • Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
                                                                • -
                                                                • Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
                                                                • -
                                                                • Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
                                                                • -
                                                                • Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                -
                                                                  -
                                                                • 3+ years’ experience in analytics or data science related roles, working with large, real-world datasets
                                                                • -
                                                                • Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
                                                                • -
                                                                • Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
                                                                • -
                                                                • Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
                                                                • -
                                                                • Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
                                                                • -
                                                                • Ability to see the big picture and guide groups with strategic thinking
                                                                • -
                                                                • Excellent time management skills and demonstrated ability to prioritize workload effectively
                                                                • -
                                                                • Degree in mathematics, statistics, computer science or related quantitative discipline
                                                                • -
                                                                -

                                                                -

                                                                Nice-to-have

                                                                -
                                                                  -
                                                                • Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
                                                                • -
                                                                • Knowledge of Canadian banking and payment industry payments transaction data and financial fraud
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • Continued career advancement opportunities
                                                                • -
                                                                • Exposure to strong mentorship and leadership examples
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, and high-performing team
                                                                • -
                                                                -

                                                                -

                                                                RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-AB-CALGARY, CAN-BC-VANCOUVER, CAN-NS-BEDFORD, CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-11-21

                                                                Application Deadline:

                                                                2023-04-01
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000038861/Manager-Fraud-Detection-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-03T17:21:03.923Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/206568605-manager-fraud-detection-analytics-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -9ffc6d3b-7558-4f44-9dd9-b86effef6c7d,209219019,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Mississauga || Canada : Ontario : North York,2023-03-27T17:22:03.370Z,"

                                                                +

                                                                Salary Range:

                                                                51,100/51 100 - 82,800/82 800

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                12/01/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Data-Analyst--Rewards---Recognition_JR00073333?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:01:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/179960718-data-analyst-rewards-recognition-at-sun-life-financial,,expired,2022-12-22T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +89326799-6779-4652-a22b-25a78e534a21,181084210,Scotiabank,"Manager, Data Strategy - CID&A",on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.974Z,"

                                                                -

                                                                Requisition ID: 173481

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 169773

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose

                                                                -

                                                                Contributes to the overall success of Global Operations ensuring specific individual goals, plans and initiatives that are executed/delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end reporting lifecycle. This includes sourcing the requisite data, delivering sound data solutions to enable reporting and supporting the infrastructure and product portfolio. Ensures all development initiatives are executed and delivered with high quality and in compliance with Enterprise Security and Audit requirements

                                                                -

                                                                -

                                                                Accountabilities

                                                                -
                                                                • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Designs and maintains scalable data architecture in SQL Server (on-premise and Azure) to support periodical integration, transformation, validation and analysis of financial/operational data sourced from diverse teams. Ensure data architecture is aligned with the Enterprise Technology and Data Roadmaps.
                                                                • Work in an Agile environment, be quick to adapt and understand dynamic business requirements and be able to work with tight timelines. Proactively supports data-based decision-making across operational functions by identifying analytical prospects in operational/financial data.
                                                                • Identify opportunities to automate processes/tasks that are manual and repetitive in nature, within the existing business process or operational process.
                                                                • Follow iterative development principles to design, code, test, implement and support data and analytics solutions using industry best practices. Apply a consistent strategy to profile and model the data, setting a solid foundation for dashboards and ad hoc reporting.
                                                                • Support product vision, scope and objectives based on a thorough understanding of the Business goals and requirements. Partner with source system owners across the Enterprise to acquire the necessary data to satisfy business objectives by creating data contracts and data dictionaries.
                                                                • Skilled in XML, CSharp, Java, ASP.NET, MVC development. Responsible for developing and maintaining routines and developing UI design to load, access and extract data in Microsoft SQL Server Environment.
                                                                • Provide sound data mining techniques and analytical methodologies to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value and insight delivered by data analysis.
                                                                • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • -
                                                                -

                                                                -

                                                                Dimensions

                                                                -
                                                                • Proficient in XML, Java, CSharp and ASP.NET application development
                                                                • Data visualizations for Power BI reporting
                                                                • All business units in Global Operations
                                                                • Number of projects: ongoing operational reporting initiatives for the Retail and Business Banking Operations, Contact Centre, Collections and Corporate Services
                                                                • -
                                                                -

                                                                -

                                                                Qualifications

                                                                -
                                                                • University degree in Engineering, Computer Science, Analytics, Mathematics or related fields is required
                                                                • 5+ years of practical experience is an asset
                                                                • Advanced knowledge of Business Intelligence solutions, database design, data mining, profiling, and modelling techniques. Solid experience with SQL Server 2012/2016/2017, ETL, SSRS, SSAS, MDX, XML, Java, C# and ASP.NET, Unified Dimensional/Relational modelling
                                                                • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server is an asset
                                                                • Experience with data visualization tools (Power BI) is required
                                                                • -
                                                                -

                                                                -

                                                                Working Conditions

                                                                -
                                                                • Work in a standard office-based environment; non-standard hours are a common occurrence.
                                                                • -
                                                                +

                                                                Purpose

                                                                -

                                                                Location(s): Canada : Ontario : Mississauga || Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-03T17:27:03.246Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/209219019-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -5f6d965d-2983-444d-bc3a-7c09f7b53b96,206568792,Scotiabank,"Manager, Application Fraud Analytics",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-03-20T17:22:01.958Z,"

                                                                +

                                                                The Data Engineer, Strategic Project will be accountable for delivery of data analytics and business intelligence in support of strategic initiatives that go across different functions within Canadian Banking including Canadian Banking Analytics, Products, Market Research, Marketing, Customer Growth. Using analytics tools such as Python, SAS and Power BI, this role will access a wide range of sophisticated complex data sources to uncover insights in support of business initiatives and inquiries. The incumbent will work collaboratively with Data Enablement team to implement final data in the production for sharing with a wide audience.

                                                                +

                                                                Accountabilities

                                                                +

                                                                Accountability 1 – Data Analytics and Visualization

                                                                +


                                                                • Use a variety of Business Intelligence analytical and reporting tools (eg. SAS, SQL, Python, Power BI) to access Enterprise Data Warehouse (EDW), Data Lake (EDL) and other platforms to perform complex analysis and reporting, including interactive dashboards, scorecard, regular reports, and ad-hoc requests as required.
                                                                • Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
                                                                • Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
                                                                • Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
                                                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.

                                                                -

                                                                Requisition ID: 162439

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Accountability 2 – Processes Improvement

                                                                +


                                                                • Support migration of SAS based data processing workflows to Apache Spark & Python.
                                                                • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
                                                                • Build re-usable managed datasets for CBA stakeholders.
                                                                • Document existing processes and workflows, and look for opportunities to optimize and automate work stream
                                                                • Coach, assist and share knowledge and expertise to new and existing team members with varying degrees of technical and data expertise
                                                                • Learn new tools and technology to meet evolving business needs.

                                                                -

                                                                - -

                                                                As a Manager, Application Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                What your role will be:

                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for unsecured and secured lending products, leveraging best in class analytics.
                                                                • Report regularly on performance of existing fraud origination strategies deployed in Canadian Banking.
                                                                • Identify improvements of existing application fraud strategies, procedures, and policies.
                                                                • Maintain performance reporting on new cohorts and liaise with business partners to assess trends that may impact the business.
                                                                • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite.
                                                                • Leverage data mining tools (SAS, Python, R, SQL) to formulate application fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs.
                                                                • Lead / participate in the identification, development, and implementation of new initiatives.
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group.
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.

                                                                Skills you already have:

                                                                • A University degree in statistics, mathematics, or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding skills using SAS, Python, SQL, R, experience in large data query and manipulation.
                                                                • Experience with Citadel or similar fraud control platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors, and management
                                                                • Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization

                                                                +

                                                                Accountability 3 – Business Impact

                                                                +


                                                                • Act as project owner in requirements gathering, program development and process automation to ensure high quality delivery.
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation and end-user self-help solutions
                                                                • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                                                • Understand the Bank’s risk appetite and AML/ATF practices in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                                                                +


                                                                Requirements & Qualifications

                                                                -

                                                                +

                                                                • Bachelor's Degree in Computer Science, Engineering, Math, Statistics, or another quantitative field.
                                                                • 4+ years of experience in advanced analytics or data scientist role
                                                                • Must be proficient with Python (3+ years), PySpark, Spark, SAS, SQL, Power BI, Excel and MS Office
                                                                • Experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and data processing within the EDL for ‘big data’ data pipelines, architectures & data sets
                                                                • Experience with HDFS/Hive, MiniO/Presto/Trino, Airflow, Docker, Git would be an asset
                                                                • Experience with Google Cloud Platform (Google Cloud) would be an asset
                                                                • Excellent analytical and problem-solving skills. Must be able to interpret and consolidate large amount of information in actionable recommendations
                                                                • Must be flexible to adapt to a dynamic environment and make quick and sound decisions under pressure
                                                                • Must be reliable, pro-active, results-oriented, customer-focused, and attentive to details
                                                                • Must possess excellent time management and organizational skills
                                                                • Strong communication skills and relationship building skills with internal partners
                                                                • Strong prioritizing, planning, analytical, requirement gathering and presentation skills
                                                                • Open to learn new tools and explore new ways of analyzing data and business performance

                                                                -

                                                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Manager-Application-Fraud-ON-M3C0N5/563267317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-03T17:27:03.246Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/206568792-manager-application-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager-Application-Fraud-ON-M3C0N5/563267317/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -ac9d9ae3-245a-4392-bc8d-e86954adabac,212879102,RBC,Lead Ecosystem Data Analytics Engineer,on_site,"Toronto, ON, Canada",2023-04-06T17:16:02.477Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Lead Ecosystem Data Analytics Engineer

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                The Senior Analytics Ecosystem Data Engineer will provide technical insight, hands-on development and data governance best practices for Internal Audit. This role is a leadership role targeted to increase the adoption of the IA Analytics Ecosystem and Data Products. This role also contributes to IA data strategy and best practices definition within area of Data Analytics, Data Management and Data Governance standards.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Partner with Audit Platform leads, data scientists, product managers and engineers to design, develop and deploy data solutions within the IA Ecosystem
                                                                • -
                                                                • Provide ongoing support for analytics processes in production on IA Ecosystem to promote operational safety and soundness and maintain end user satisfaction
                                                                • -
                                                                • Lead, Manage and Influence IA Ecosystem architecture capabilities and design decisions during the product development cycle to ensure technical development standards are being met and best practices are being followed
                                                                • -
                                                                • Active development within Data Engineering stack for a given initiative (UI, mid-tier, and back-end services) working on medium to high complexity solutions, frameworks and platforms
                                                                • -
                                                                • Work with large data sets, visualize end product and understand optimum processes to extract data and present in a solution which is understood and relevant to the business end user
                                                                • -
                                                                • Work with change management owners to identify change impact, risks, and mitigation strategies. Ensure that the approved plan is supported within the team, with stakeholders, and affected employees, and ensure that escalations are handled appropriately according to the approved plan
                                                                • -
                                                                • Strong collaboration and stake holder management; providing data and analytics solution advise to the audit business groups for relevant domain/portfolio
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                -
                                                                  -
                                                                • 4+ years’ experience in backend development expertise using Python, ETL tooling (Dataiku, Datastage)
                                                                • -
                                                                • 4+ years’ experience in development with traditional database technology (i.e. SQL, Hadoop)
                                                                • -
                                                                • Strong experience with data visualization and reporting tools – e.g. Tableau
                                                                • -
                                                                • Strong expertise in Data Platforms, developing and managing data pipelines
                                                                • -
                                                                • Expertise with tools such as GitHub, as well as software development and change management processes to manage implementation of centralized code and software releases
                                                                • -
                                                                -

                                                                -

                                                                Nice-to-have

                                                                -
                                                                • 4-Year Undergraduate STEM degree (e.g. B.Com., B. Math, B.Sc, P. Eng.)
                                                                -
                                                                  -
                                                                • Experience in developing applications using JavaScript frameworks such as Vue, React or Angular.
                                                                • -
                                                                • Strong knowledge for creation of automated unit tests, integration, end-to-end testing and DevOps practices (E.g. CI/CD).
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in an agile, collaborative, progressive, and high-performing team
                                                                • -
                                                                • The opportunity to interface with senior level executives from many different parts of the organization
                                                                • -
                                                                • This is a hybrid opportunity
                                                                • -
                                                                -

                                                                -

                                                                #LI-Hybrid

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                The Senior Analytics Ecosystem Engineer will provide technical insight, hands-on development and data governance best practices for Internal Audit. This role is a leadership role targeted to increase the adoption of the IA Analytics Ecosystem and Data Products. This role also contributes to IA data strategy and best practices definition within area of Data Analytics, Data Management and Data Governance standards. Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-04-05

                                                                Application Deadline:

                                                                2023-05-03
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000054180/Lead-Ecosystem-Data-Analytics-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-13T17:21:07.033Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/212879102-lead-ecosystem-data-analytics-engineer-at-rbc,,expired,2023-04-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -79b59946-7b28-406a-a8bb-5c5d0a379d21,228136490,TD Bank Group,Operations Modernization Analyst Intern/ Co-op,on_site,"Ottawa, ON",2023-05-22T15:53:02.965Z,"
                                                                +

                                                                Good to have Qualifications:

                                                                +


                                                                • 2+ years’ experience of banking and financial services products, covering all business lines (day-to-day, borrowing, investing, insurance, wealth management, and small business)

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084210-manager-data-strategy-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +5603e2c1-a512-4185-a206-01feaa7ef695,175021835,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-12-08T17:24:02.501Z,"

                                                                Company Overview

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                @@ -50379,1343 +49876,1393 @@ ac9d9ae3-245a-4392-bc8d-e86954adabac,212879102,RBC,Lead Ecosystem Data Analytics

                                                                Department Overview

                                                                -

                                                                Ops Modernization supports the Canadian Personal Banking Operations team through the development, support and analysis of tactical solutions. We collaborate closely with business partners to deliver a legendary experience to the distribution teams and customers. The mandate is to deliver best in class service and advice while operating within the business’ credit risk appetite and regulatory framework.

                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op/ Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:
                                                                • Leadership talks with key Leaders from across the organization
                                                                • Lunch & Learns on topics such as Innovation
                                                                • Diversity and Inclusion and Personal Branding and so much more

                                                                -

                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                                                will work with experienced colleagues, receive world class training, and be part of a community of students across
                                                                TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                                                understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                                                program is designed to complement your on-the job experience and features:

                                                                +
                                                                  +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • +

                                                                Job Description

                                                                -

                                                                You will have the opportunity to work with the Ops Mod PITT Crew (Process Improvement Tools & Transformation) within the CPB Credit Operations group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements across our credit teams.

                                                                -

                                                                Job responsibilities may vary by area and may include, but is not limited to the following:

                                                                -
                                                                • Supporting the development of business tools, process improvement and tactical business solutions to increase efficiency and reduce risks across the business lines that we support.
                                                                +

                                                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                                                on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                                                vary by area. They may include, but are not limited to the following:

                                                                  -
                                                                • Determining operational objectives by studying business functions; gathering information; evaluating output requirements and formats.
                                                                • -
                                                                • Designing new computer programs by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
                                                                • -
                                                                • Improving systems by studying current practices, designing modifications
                                                                • -
                                                                • Recommending controls by identifying problems, writing improved procedures
                                                                • -
                                                                • Defining project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
                                                                • -
                                                                • Monitoring project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
                                                                • -
                                                                • Maintaining system protocols by writing and updating procedures
                                                                • -
                                                                • Providing references for users by writing and maintaining user documentation; providing help desk support; training users
                                                                • -
                                                                • Maintaining user confidence and protects operations by keeping information confidential
                                                                • -
                                                                • Preparing technical reports by collecting, analyzing, and summarizing information and trends
                                                                • -
                                                                • Maintaining professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies
                                                                • -
                                                                • Contributing to team effort by accomplishing related results as needed
                                                                • +
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                • +
                                                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                • +
                                                                • Design, develop and deploy system enhancements
                                                                • +
                                                                • Perform Unit and System Integration tests
                                                                • +
                                                                • Document system deployment plans for system implementation and code deployment
                                                                • +
                                                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                • +
                                                                • Provide recommendations with full usability analysis
                                                                • +
                                                                • Perform root-cause analysis and resolution of application defects
                                                                • +
                                                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                • +
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

                                                                Requirements

                                                                  -
                                                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field with the intent of going back to school at the start of your work term
                                                                • -
                                                                • Excellent communication skills, and ability to convey complex information concisely and with clarity
                                                                • -
                                                                • Highly developed critical thinking and ability to deliver actionable recommendations in a timely manner
                                                                • -
                                                                • Well organized, flexibility to adapt and manage within a fast-paced, dynamic business environment
                                                                • -
                                                                • Experience developing or designing tools, data queries or applications.
                                                                • -
                                                                • Java, JSON, VBA, SQL Coding knowledge and experience are an asset.
                                                                • -
                                                                • Proficiency in Excel, data querying, data processing, and visualization tools.
                                                                • -
                                                                • Proficiency in PowerPoint and developing clear and compelling business presentations.
                                                                • -
                                                                • Excellent problem-solving skills, with a demonstrated ability to think strategically and synthesize information quickly.
                                                                • -
                                                                • Strong analytical and communication skills, with the ability to communicate clearly and concisely (written and verbally) to a broad audience.
                                                                • -
                                                                • Ability to independently manage deadlines while multitasking between different projects.
                                                                • -
                                                                • High degree of numeracy, including experience with financial modeling/forecasting.
                                                                • -
                                                                • Experience working with large and discrete forms of data, and designing analytics with the objective of surfacing insights and providing recommendations.
                                                                • -
                                                                • Highly developed presentation and communication skills (verbal and written).
                                                                • -
                                                                • Ability to work in a team environment.
                                                                • +
                                                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information
                                                                • +
                                                                • Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                • +
                                                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                • +
                                                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                • +
                                                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                • +
                                                                • Familiarity with source code management such as GIT
                                                                • +
                                                                • Familiarity with Jira and Confluence
                                                                • +
                                                                • A thirst for constantly exploring emerging technology
                                                                • +
                                                                • Skills that would be an asset, but not required
                                                                    +
                                                                  • Familiarity with RDBMS, Big data
                                                                  • +
                                                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                  • +
                                                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                  • +
                                                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                                                  • +
                                                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                  • +
                                                                  +

                                                                Additional Information

                                                                -
                                                                  -
                                                                • This position is a 4-month work term and will commence September 5th – December 22nd, 2023
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages)
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • You must be enrolled at a college/university program to qualify for this Co-op/Internship opportunity
                                                                • -
                                                                +
                                                                +

                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding
                                                                which business group and the specific job duties will be provided.

                                                                +

                                                                Early Talent Requirements

                                                                +
                                                                  +
                                                                • This position is a 4-month work term and will commence May 1 – August 25th, 2023.
                                                                • +
                                                                • Applications must include a resume (maximum of 2 pages). We welcome all applications; however, we will only contact qualified candidates chosen for an interview..
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                +

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +

                                                                #P&TCo-op

                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                Start Date

                                                                -
                                                                – Fall
                                                                +
                                                                – Summer

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T15:58:02.233Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/228136490-operations-modernization-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,expired,2023-05-22T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -a9d5ccbe-6f53-4ec5-88f0-1a1c0ca90958,226183734,Scotiabank,"Vice President, Data and Analytics Technology",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.544Z,"

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-11T21:10:04.643Z,False,0,15,45,https://talenthub.vectorinstitute.ai/jobs/175021835-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,expired,2022-12-08T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +056b8f47-7896-4bcd-9030-a9ad1999cbea,175047220,CN,Expert Data Engineering,on_site,"Ontario, Canada",2022-12-08T17:42:02.007Z,"
                                                                +

                                                                +

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                +
                                                                +

                                                                Job Summary

                                                                +

                                                                The Expert Data Engineering is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Data Engineering develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                +

                                                                +

                                                                Main Responsibilities

                                                                Data Engineering

                                                                +

                                                                +

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                +

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                +

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                +

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                +

                                                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                +

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                +

                                                                · Integrate analytics and data science results with business processes

                                                                +

                                                                · Promote effective data management practices

                                                                +

                                                                +

                                                                Data Design

                                                                +

                                                                +

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                +

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                +

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                +

                                                                · Expose the data into meaningful formats, like GraphQL

                                                                +

                                                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                +

                                                                · Participate in building data engineering expertise and framework

                                                                +

                                                                · Translate business needs into technical requirements

                                                                +

                                                                +

                                                                Data Development

                                                                +

                                                                +

                                                                · Acquire, ingest and process data from multiple sources and systems

                                                                +

                                                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                +

                                                                · Conduct metadata management, data cleansing and preparation

                                                                +

                                                                · Produce well documented quality codes

                                                                +

                                                                +

                                                                Data Operations - 10% +

                                                                +

                                                                +

                                                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                +

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                +

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                +

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                +

                                                                +

                                                                Data Quality Assurance

                                                                +

                                                                +

                                                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                +

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                +

                                                                · Maintain manual and automated test scripts

                                                                +

                                                                +

                                                                Working Conditions

                                                                +

                                                                +

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                +

                                                                +

                                                                +

                                                                Requirements

                                                                Experience

                                                                +

                                                                +

                                                                Data Engineering

                                                                +

                                                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                +

                                                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                +

                                                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                +

                                                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                +

                                                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                +

                                                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                +

                                                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                +

                                                                · Experience with Linux and shell scripting

                                                                +

                                                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                +

                                                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                +

                                                                · Experience working in an Agile team environment

                                                                +

                                                                +

                                                                Education/Certification/Designation

                                                                +

                                                                +

                                                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                +

                                                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                +

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                +

                                                                · Google or Azure Data Engineering certification*

                                                                +

                                                                *Any designation for these above would be considered as an asset

                                                                +

                                                                +

                                                                Competencies

                                                                +

                                                                +

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                +

                                                                · Ability to communicate complex solutions

                                                                +

                                                                · Applies analytical thinking

                                                                +

                                                                · Innovates through problem solving

                                                                +

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                +

                                                                · Demonstrates organizational abilities and detail oriented

                                                                +

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                +

                                                                · Works independently with little supervision

                                                                +

                                                                · Applies agile mindset

                                                                +

                                                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                +

                                                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                +

                                                                +

                                                                Technical Skills/Knowledge

                                                                +

                                                                +

                                                                · Strong data analytics and development skills

                                                                +

                                                                · Demonstrated creativity skills

                                                                +

                                                                · Expertise in a combination of Scala, Java or Python

                                                                +

                                                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                +

                                                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                +

                                                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                +

                                                                · Expertise with GraphQL*

                                                                +

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                +

                                                                +
                                                                +About CN

                                                                +

                                                                +

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-11T21:12:14.349Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/175047220-expert-data-engineering-at-cn,,expired,2022-12-08T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +1da30298-a8ec-4325-a3d5-eee5ebb6e36c,175044350,BenchSci,Technical Lead - ML Engineering - Natural Language Processing (Remote),on_site,"Toronto, Ontario",2022-12-08T17:39:03.314Z,"
                                                                +
                                                                We are looking for a Technical Lead - ML Engineering to join our growing R&D team! Reporting to the Engineering Manager, you will run our end-to-end machine learning platform, from research to production ML models. You are well-versed in the nuances of the machine learning lifecycle and have a clear approach to measuring the improvement of our ML systems and their peers' workflows. The technical lead role is a unique expansion of the scope of a Senior ML engineer that takes on multiple facets of technical leadership, team building, and building our technical roadmap. You can expect to collaborate with your ML teammates and folks from MLOps, Data, and Science teams.
                                                                +

                                                                +
                                                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                                +
                                                                +

                                                                You Will:

                                                                +
                                                                    +
                                                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • +
                                                                  • Partner with the Engineering Manager and other Tech Leads to recruit and build the team
                                                                  • +
                                                                  • Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
                                                                  • +
                                                                  • Drive core components of our technical roadmap
                                                                  • +
                                                                  • Facilitate and make technical decisions in forums
                                                                  • +
                                                                  • Help define best practices based on personal industry experience and research across the Machine Learning team
                                                                  • +
                                                                  • Lead sprint planning, estimations, and code + design reviews
                                                                  • +
                                                                  • Oversee the solutions and long-term technology investments to inspire technical creativity at BenchSci
                                                                  • +
                                                                +
                                                                +

                                                                You Have:

                                                                +
                                                                    +
                                                                  • 4+ years of experience working as a professional developer applying machine learning techniques to solve business problems
                                                                  • +
                                                                  • Experience with Python and programming fundamentals
                                                                  • +
                                                                  • Experience with NLP (ideally including NER) and PyTorch
                                                                  • +
                                                                  • Experience with designing, building, and evaluating scalable production-ready ML models
                                                                  • +
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • +
                                                                  • Experience with data manipulation and processing, such as SQL or pandas
                                                                  • +
                                                                  • Experience with building functional, production-level models in the cloud
                                                                  • +
                                                                  • Experience with planning projects
                                                                  • +
                                                                  • A desire to see teammates succeed together
                                                                  • +
                                                                +
                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future. +
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                +You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture. +
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. +
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com. +
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-01-11T21:13:21.515Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/175044350-technical-lead-ml-engineering-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070,expired,2022-12-08T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +e6b728a8-9052-4bd3-9499-fa2dd10cd093,176655741,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:04.125Z,"

                                                                +

                                                                -

                                                                Requisition ID: 178107

                                                                We are committed to investing in our employees and helping you continue your career at Scotiabank.

                                                                +

                                                                Requisition ID: 169222

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +


                                                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
                                                                The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

                                                                +

                                                                +


                                                                The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

                                                                +


                                                                • Be the product owner for our Data Ethics & Use tools and technologies
                                                                • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
                                                                • Own the data ethics technical strategy and roadmap on an annual basis
                                                                • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
                                                                • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
                                                                • Lead a high-performance team, with focus on coaching and development

                                                                +


                                                                Key Responsibilities:

                                                                +


                                                                • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
                                                                • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
                                                                • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
                                                                • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
                                                                • Work with various stakeholders in a matrix organization
                                                                • Manage the SCRUM process and Kanban board for the projects
                                                                • Create project plans, maintain JIRA board and Confluence, as needed
                                                                • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
                                                                • Ensure timely delivery and successful adoption of data ethics tools and processes
                                                                • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
                                                                • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
                                                                • Review, address and incorporate user feedback into our tools and processes, as required
                                                                • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
                                                                • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
                                                                • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
                                                                • Ensure consistency and alignment on best practices across the organization.
                                                                • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
                                                                • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
                                                                • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
                                                                • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
                                                                • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Lead a high-performance team-this is a people manager role where development and coaching is a focus
                                                                • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                                                +


                                                                Functional Competencies:

                                                                +


                                                                • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
                                                                • Strong technical acumen
                                                                • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
                                                                • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
                                                                • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
                                                                • Able to work in a matrixed organization that has multiple stakeholders
                                                                • Ability to present ideas and facilitate discussions to build consensus at all levels
                                                                • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
                                                                • Results orientation and pragmatic approach to decision-making
                                                                • Ability to work independently and solve complex problems through a collaborative style
                                                                • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
                                                                • Ability to increase operating efficiency and produce high quality technical solutions
                                                                • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
                                                                • Ability to drive success in a high performing, flexible and small team environment

                                                                - -

                                                                Purpose

                                                                The Vice President, Data and Analytics Technology will be responsible for the delivery of data and analytics solutions globally, leading the direction and strategic alignment of reusable data and analytics at scale, and ensuring business strategies, plans, and initiatives are supported in compliance with governing regulations, internal policies, and procedures.

                                                                Accountabilities

                                                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting analytics.
                                                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting enterprise data platforms.
                                                                • Develop and deliver data and analytics technology solutions globally, leveraging innovative and sustainable solutions.
                                                                • Be a trusted advisor and key strategic influencer directly supporting Customer Insights Data & Analytics.
                                                                • Enable advanced analytics, AI / machine learning, enterprise wide, to maximize business results.
                                                                • Prioritize, develop, scale, and manage technology supporting enterprise data and analytics.
                                                                • Influence key stakeholders within the data and analytics space, as well technology.
                                                                • Have deep knowledge of key technologies supporting the Bank’s strategy, including but not limited to data and analytics.
                                                                • Understand how the Bank’s systems work and how enhancements can create operational efficiencies.
                                                                • Enable a culture that promotes critical thinking, change leadership, and sharing best practices.
                                                                • Lead and drive a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Direct day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits; communicate the Bank’s risk culture and risk appetite statement throughout their teams.
                                                                • Create an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • Build a high-performance environment and implement a people strategy that attracts, retains, develops, and motivates their team.
                                                                • Foster an inclusive work environment; communicate vison/values/business strategy; manage succession and development planning for the team.

                                                                Education / Experience

                                                                -
                                                                • Bachelors or higher degree in Computer Science, Engineering, Mathematics, Analytics, Finance and/or Artificial Intelligence.
                                                                • Minimum 10 years of demonstrated experience leading technology delivery, preferably in Financial Services.
                                                                • Experience working with Big Data, NoSQL, Hadoop, Hive, Kafka, Docker, Kubernetes, Public Cloud (Azure/GCP), or others; AI and machine learning preferred.
                                                                • Experience integrating business and technology teams.
                                                                • -
                                                                -

                                                                -

                                                                The Vice President, Data and Analytics Technology will exercise strategic influence over the Bank’s data and analytics design, governance, and associated processes, and requires the following:

                                                                -

                                                                -
                                                                • Expert knowledge of the data and analytics industry, including trends, best practices, and methodologies.
                                                                • Strong stakeholder management, ability to influence in a complex matrix environment and build relationships.
                                                                • Deep knowledge of advanced analytics, AI, and machine learning; ability to deliver measurable results through data and analytics.
                                                                • Strong ability to balance competing or conflicting goals of various departments / countries / stakeholders; highly developed negotiation and influencing skills.
                                                                • Strong leadership and team building skills to create and sustain highly motivated groups within diverse and multi-functional reporting units.
                                                                • -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-29T15:57:04.280Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/226183734-vice-president-data-and-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, -129d42a5-9849-437e-9d6d-69a425260395,231447106,Loblaw Companies Ltd,"Data Analyst, Product",on_site,"Ontario, Canada",2023-06-01T15:41:01.711Z,"
                                                                -

                                                                Referred applicants should not apply directly to this role.

                                                                -

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:45:12.090Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/176655741-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, +73fcf20c-8778-4315-8793-ae55371f261b,189559546,CIBC,"Associate, Quantitative Rotational Program",on_site,"Ontario, Canada",2023-01-23T17:06:04.258Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                -

                                                                When you hire great people, great things can happen.

                                                                -

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                +

                                                                Job Description

                                                                -

                                                                Why This Role is Important:

                                                                -

                                                                The mandate of our Payment Decision Support, Product and Insights team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will be responsible for providing accurate, timely and practical insights and reporting solutions to enable evidence-based decisions for the Product department.

                                                                -

                                                                -

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                Join our Quantitative Rotational Program as an Associate and make a real difference for our clients. This is a great opportunity to work under the leadership of our quantitative teams within Risk Management and Internal Audit. In the program, you will be provided with the opportunity to gain comprehensive experiences in developing, validating, implementing, managing and auditing various types of quantitative models. You’ll be part of a two-year program that consists of four, six-month rotations through various quantitative departments within CIBC that will provide you with the necessary experience and exposure to become an effective leader.

                                                                -

                                                                What You\'ll Do:

                                                                -
                                                                  -
                                                                • Be hands-on coding - extracting, preparing, and analyzing large data sets
                                                                • -
                                                                • Work with partners across the organization to provide data support on business initiatives
                                                                • -
                                                                • Apply sophisticated analytics and build models to understand our customers and discover business opportunities.
                                                                • -
                                                                • Interact with partners at various levels to perform data analysis and advanced analytics use-cases centered in Marketing Analytics.
                                                                • -
                                                                • Create business critical end-to-end reporting and data processes: Perform ad-hoc analysis based on heterogeneous data sources to support business teams.
                                                                • -
                                                                • Strictly adhere to legal guidelines regarding working with sensitive and confidential information
                                                                • -
                                                                -

                                                                -

                                                                +

                                                                During your rotations, you will be part of the Quantitative Risk, Model Quantification and Model Validation within Risk Management, Model Risk teams within our Internal Audit department. Once you have successfully completed the program, you will be assisted in securing a full-time permanent role, preferably in one of the quantitative departments you worked with during your rotations. You will be part of a team that focuses on designing tools and reports to make the analysis process more efficient and streamlined. You’ll have an opportunity to prepare management summaries describing the mathematical analytics of models, validation techniques, test results, and model limitations, including recommendations for further improvements. You’ll perform, analyze and document the calibration and parametrization of the models used, define and monitor controls to ensure the appropriateness of the parameters used along with running back testing for models and analyze the impact of model behavior on risk management measures, as well as the impact of changes in capital from the model performance and how they affect the business.

                                                                -

                                                                What You\'ll Need:

                                                                +

                                                                As a QRP Associate, you will also have a chance to assist in the development and testing of new modelling methodologies, and effectively challenge these models through benchmark modelling and model validation. Additionally, we will look to you to provide assurance with respect to governance, the control environment, and compliance with regulatory requirements around model risk management through participating model specific and model governance audits and managing small and less complicated audit assignments and initiatives.

                                                                +

                                                                +

                                                                Important Information

                                                                  -
                                                                • 1-2 years experience in a similar role, preferably in financial services/banking domain
                                                                • -
                                                                • Be curious to understand business problems. Passionate in telling a story through data.
                                                                • -
                                                                • Proven understanding of relational databases and SQL data extraction and manipulation tools
                                                                • -
                                                                • Understanding of data warehouse and data mart concepts
                                                                • -
                                                                • Hands on with Python and SAS. Modeling experience is a bonus
                                                                • -
                                                                • Experience with BI tools and Cloud technology, such as Tableau and Google Cloud Platform.
                                                                • -
                                                                • Sound communication skills with the ability to work independently and as a team player
                                                                • -
                                                                • Demonstration of problem-solving using combination of technical know-how, soft skills, and business acumen
                                                                • -
                                                                • Strong analytical and conceptual thinking and can learn quickly
                                                                • -
                                                                • Able to plan and prioritize effectively
                                                                • -
                                                                • Experience in any of the following areas would be considered an asset: financial services/banking, credit cards/payments, credit risk, marketing campaigns
                                                                • -
                                                                • University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics +
                                                                • You have a Master’s or Doctor’s degree in related programs e.g. Financial Engineering, Math, Physics and will graduate in 2023.
                                                                • +
                                                                • Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. Please upload all documents as one PDF file into the Resume section of your application.
                                                                • +
                                                                • Work Location: Toronto (exact location to be decided during interview).
                                                                • +
                                                                • Duration of Program: 2 years (four, 6-month rotations).
                                                                • +
                                                                • Available start dates are in 2023 (to be confirmed during interview stage).
                                                                • +
                                                                • This job posting closes on February 5th at 11:59pm.

                                                                -

                                                                -

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                -

                                                                Number of Openings:

                                                                1

                                                                -

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                -

                                                                -

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                -

                                                                -

                                                                -

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                -
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--Product_R2000344244?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-08T20:55:00.000Z,False,0,13,26,https://talenthub.vectorinstitute.ai/jobs/231447106-data-analyst-product-at-loblaw-companies-ltd,,expired,2023-06-01T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -7b1b4b2e-02a8-4e96-b03c-ac84c3a7cee3,231453080,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-01T15:51:02.080Z,"
                                                                -
                                                                -2023-03-31T19:30:50.723Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Student Researcher, MS, 2023

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                • + 2 more locations
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                -

                                                                This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  +
                                                                • +Project Management – You manage assignments through effective planning, execution, collaboration and communication to ensure timely delivery of high-quality results.
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  +
                                                                • +Risk Focused – You understand the importance of maintaining and evolving processes and control to mitigate model risks arising from an ever-changing business. You will also act as a champion for existing processes, working with key stakeholders and partners.
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                  +
                                                                • +Communication and Relationship Management - You will build and develop relationships with key business contacts, governance functions and oversight groups to become a true partner to the business.
                                                                • -
                                                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                  +
                                                                • +Passion – you will prove your risk focus and passion by demonstrating continuous improvement ideas that will enable CIBC’s model risk management practices to stand out in today’s competitive landscape.
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                -

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-08T15:56:01.861Z,False,0,20,140,https://talenthub.vectorinstitute.ai/jobs/231453080-student-researcher-ms-2023-at-google,,expired,2023-06-01T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -a120861c-ed15-47ec-81af-f9526cbbbf2a,226183239,BMO Financial Group,"Financial Analyst, Fall 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-05-16T15:39:05.500Z,"
                                                                -

                                                                Application Deadline:

                                                                06/02/2023

                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                -

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                -

                                                                -

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                -

                                                                -

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +

                                                                Who You Are

                                                                  -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Focus may be on a business/group.
                                                                • -
                                                                • Thinks creatively and proposes new solutions.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works mostly independently.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +You can demonstrate experience in the use of mathematical, computer science, and statistical techniques, such as predictive modeling, analytics, and machine learning.
                                                                • -
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. However, as part of the BMO campus program, we are looking for motivated University and College students with a strong desire to learn. +
                                                                • +You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way. +
                                                                • +
                                                                • +Your attention to detail is second to none and you pick up things that others miss. +
                                                                • +
                                                                • +You enjoy finding innovative solutions to problems that will make a difference today and in the future. +
                                                                • +
                                                                • +You embrace change and look to evolve your thinking and the way you work to deliver your best. +
                                                                • +
                                                                • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                                                • -
                                                                • Specialized knowledge from education and/or business experience.
                                                                • -
                                                                • Verbal & written communication skills - In-depth.
                                                                • -
                                                                • Collaboration & team skills - In-depth.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth.
                                                                • -
                                                                • Influence skills - In-depth.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Financial-Analyst--Fall-2023--Co-op-Internship----4-Months_R230007144-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-06-12T15:44:04.802Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/226183239-financial-analyst-fall-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-05-16T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -de8734bc-7ead-4f11-a16e-896e734a7ee6,230331706,RBC,"2023 Global Asset Management, Fall Analytics Engineer (4 months)",on_site,"Toronto, ON, Canada",2023-05-29T15:47:01.995Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                2023 Global Asset Management, Fall Analytics Engineer (4 months)

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Machine learning Platform Enhancement: to increase reusability and accelerate insight creation for GAM funds sales and marketing business.
                                                                • -
                                                                • Increase awareness of the Advanced Analytics capabilities: to experiment with NLP capabilities on feature mining and retrievals.
                                                                • -
                                                                • Developing, deploying, and maintaining data pipelines as well as building out our workflow framework to further the quality of our data assets and streamline the creation and delivery of the assets to end business users.
                                                                • -
                                                                • Performing research and providing answers for customer generated inquiries.
                                                                • -
                                                                • Contributing to ad-hoc tasks under direct supervision.
                                                                • -
                                                                • Documenting processes or upgrading existing procedure manuals.

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have:

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  -
                                                                • Have a strong quantitative background, a degree in math/statistics/computer science/engineering would be a plus.
                                                                • -
                                                                • A minimum of 1-2 years of experience with Python and SQL (including school projects).
                                                                • -
                                                                • Desire to learn real industry data science and engineering practices.
                                                                • -
                                                                • Strong written and verbal communication skills; ability to communicate effectively with business users and technical individuals.
                                                                • -
                                                                • Ability to work effectively as an individual and on a team.
                                                                • +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                -

                                                                Nice-to-have:

                                                                +

                                                                What you need to know

                                                                  -
                                                                • Experience with Kubernetes, Docker
                                                                • -
                                                                • Basic understanding of Networks
                                                                • -
                                                                • Familiarity with MLOps/DevOps practices
                                                                • +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                -

                                                                Job Summary

                                                                -

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Wealth Management

                                                                Job Type:

                                                                Student/Coop (Fixed Term)

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-05-26

                                                                Application Deadline:

                                                                2023-06-11

                                                                -
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000060613/2023-Global-Asset-Management-Fall-Analytics-Engineer-4-months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-12T15:52:02.092Z,False,0,9,27,https://talenthub.vectorinstitute.ai/jobs/230331706-2023-global-asset-management-fall-analytics-engineer-4-months-at-rbc,,expired,2023-05-29T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -8e27ba35-3dea-40a0-bb80-968e77af86cc,233912686,Google,"Software Developer Intern, BS, Summer 2024",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.747Z,"
                                                                Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
                                                                ",,"https://careers.google.com/jobs/results/124424466764571334-software-developer-intern-bs-summer-2024/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-12T21:49:00.000Z,False,0,15,41,https://talenthub.vectorinstitute.ai/jobs/233912686-software-developer-intern-bs-summer-2024-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -d1162058-aa91-4b7d-a2d9-ad15b46a9b14,232594483,Loblaw Companies Ltd,Data Analyst,on_site,"Ontario, Canada",2023-06-04T15:41:02.197Z,"
                                                                -

                                                                Referred applicants should not apply directly to this role.

                                                                -

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-81 Bay, 20th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Management Practices, Risk Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Quantitative-Rotational-Program_2300685?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-06T17:11:02.871Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/189559546-associate-quantitative-rotational-program-at-cibc,,expired,2023-01-23T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +96a14651-7744-415f-849f-eeed5e6f8f40,189570701,Thales,Cloud Database Administrator,on_site,"Ontario, Canada",2023-01-23T17:42:05.971Z,"
                                                                Location: Ottawa, Canada

                                                                +

                                                                Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                We are currently recruiting for a talented Cloud Database Administrator to provide support of this complex state-of-art solution. This role will provide you with the opportunity to learn the latest IT solutions and security concepts, within a like-minded supportive talented team.

                                                                -

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                -

                                                                When you hire great people, great things can happen.

                                                                -

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                +

                                                                Thales offers global cloud-based authentication services for high-profile customers with the most versatile and highest security practices implemented. We provide identity and access management services to thousands of customers worldwide

                                                                -

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                +

                                                                Key Responsibility

                                                                +
                                                                  +
                                                                • Analyze product requirements and identify the best database solution, technology, and tool.
                                                                • +
                                                                • Ensure database consistency of the projects by resolving any constraints.
                                                                • +
                                                                • Develop database installation and upgrade script, which is part of CI/CD.
                                                                • +
                                                                • Provide workload estimation of customization, features, and component level.
                                                                • +
                                                                • Forecast, inform risk/concern on task, team, or project level, and propose mitigation plans.
                                                                • +
                                                                • Provide technical solutions, support, and perform several activities for a new or customized database of products/components used in the project which includes but is not limited to database design, installation, upgrade, migration, backup, recovery, failover, HA, hardening, monitoring, etc.
                                                                • +
                                                                • Review other DevOps code as necessary.
                                                                • +
                                                                • Orchestrate and optimize the database activities of several databases, schemas, and components in one project or solution.
                                                                • +
                                                                • Manage system/network configuration and monitoring.
                                                                • +
                                                                • Strategize and plan for data migration, and develop data migration script if required by the project.
                                                                • +
                                                                • Support, investigate and propose solutions/workarounds for production issues related to the database.
                                                                • +
                                                                • Provide documentation as appropriate including design documentation, comments in code, and end-user documentation
                                                                • +
                                                                • Consult with other technical team members and management on industry best practices.
                                                                • +
                                                                • Maintain and enhance internal tools
                                                                • +
                                                                • Provide input to improve the scalability and reliability of infrastructure to our Automation Architects
                                                                • +
                                                                • Deploy and assist with the maintenance of automation technologies
                                                                • +
                                                                • Participate in the on-call schedule & Provide L2/L3 Support to our Services desk and R&D teams
                                                                • +
                                                                • Document all build and run procedures when implementing new automation technologies.
                                                                • +

                                                                -

                                                                Please note: this posting is to pipeline for future needs

                                                                +

                                                                Required Skills and Exerience

                                                                +
                                                                  +
                                                                • 5+ years experience in Cloud Native database technologies including RDS,MSSQL, CloudSQL, Cloud Spanner, etc.
                                                                • +
                                                                • 5+ years experience in deploying and supporting different flavors of Cloud and OnPrem databases including MSSQL, MySQL, Postgres, MongoDB, etc.
                                                                • +
                                                                • 5+ years must have experience with orchestration and Automations tools (Helmcharts, Ansible, Terraforms, Yaml, Python, Json)
                                                                • +
                                                                • 5+ years experience in SQL programming, bash scripting etc.
                                                                • +
                                                                • Experience in configuring and maintaining different database replication methodologies.
                                                                • +
                                                                • Strong interest in performance and security. Involvement in application server deployment including System setup, monitoring and Network configuration
                                                                • +
                                                                • Understanding of operational concepts like change management, on-call rotations, escalations, uptime, etc
                                                                • +
                                                                • Experience in managing production systems on a very large scale
                                                                • +
                                                                • Experience with security-relevant protocols
                                                                • +
                                                                • Deep understanding of one of the major OS families (Linux or Windows)
                                                                • +
                                                                • Adhere to security best practices from design to implementation and operations
                                                                • +
                                                                • Experience with PaaS technologies (K8s, OpenShift, etc.)
                                                                • +
                                                                • Experience with building pipelines for Infrastructure as a code using Terraform
                                                                • +
                                                                • Ability to work in an extremely geographically distributed company
                                                                • +
                                                                • Excellent communication skills across multiple mediums
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                                +
                                                                ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Cloud-Database-Administrator_R0191124-1?q=Data+Ontario&jobFamilyGroup=47200b8529d910216a6cd92c6e3634d2,feed-importer@jobboard.io,,,,2023-02-07T23:07:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/189570701-cloud-database-administrator-at-thales,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, +92ba831e-82cb-4312-b5dd-0105b0378188,190518279,TD Bank Group,Business Insights & Analytics Associate (Undergraduate),on_site,"Toronto, ON",2023-01-27T17:24:05.213Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                -

                                                                Why This Role is Important

                                                                -

                                                                The objective of our Payment Decision Support team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                Associate Role Profile:

                                                                +
                                                                  +
                                                                • 1-year in-depth experience, complemented by programming, coaching, tools and support
                                                                • +
                                                                • This is a full-time, permanent position
                                                                • +
                                                                +

                                                                In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +

                                                                -

                                                                What You\'ll Do

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Insights & Analytics Associate will perform a variety of activities, which may include:

                                                                  -
                                                                • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
                                                                • -
                                                                • Build and productionize business critical data processes
                                                                • -
                                                                • Optimize and automate data solutions
                                                                • -
                                                                • Build data marts and Tableau/Excel reports
                                                                • -
                                                                • Follow and implement data standards, guidelines on data ownership, coding structures
                                                                • -
                                                                • Monitor data quality and identify, investigate, and resolve data discrepancies
                                                                • -
                                                                • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
                                                                • -
                                                                • Closely adhere to legal guidelines regarding working with critical and confidential information
                                                                • +
                                                                • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
                                                                • +
                                                                • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                                                • +
                                                                • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                                                • +
                                                                • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                                                • +
                                                                • Collaborate with business partners to support the business case development process for analytics solutions
                                                                +

                                                                -

                                                                What You\'ll Need

                                                                +

                                                                Requirements

                                                                +
                                                                  -
                                                                • 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
                                                                • -
                                                                • University degree in Business/Commerce, Computer Science/Engineering/Analytics +
                                                                • JOB REQUIREMENTS
                                                                • +
                                                                • Must be graduated between May 2021 and May 2023 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
                                                                • +
                                                                • Strong statistical and analytical skills and interest are necessary.
                                                                • +
                                                                • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                                                • +
                                                                • +Experienced in one or more of:
                                                                • -
                                                                • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
                                                                • -
                                                                • Understanding of data warehouse and data mart concepts
                                                                • -
                                                                • Working knowledge of relational databases and SQL data extraction and manipulation tools
                                                                • -
                                                                • Experience in SAS and BI tools.
                                                                • -
                                                                • Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
                                                                • -
                                                                • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
                                                                • -
                                                                • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
                                                                • -
                                                                • Ability to prioritize between challenging tasks/requirements in a fast-paced environment
                                                                • +
                                                                • Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++
                                                                • +
                                                                • Technical knowledge or experience with Hadoop, Spark and Cloud.Experience with Data Management, and Project Management is a plus.
                                                                +

                                                                Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Remain current with emerging trends and technologies in this field.

                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                ADDITIONAL INFORMATION

                                                                +
                                                                  +
                                                                • Application Deadline: February 5th, 2023
                                                                • +
                                                                • Anticipated Start Date: July 2023
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                +
                                                                • +HOURS

                                                                  Monday-Friday, standard business hours.

                                                                  +

                                                                  INCLUSIVENESS

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  +
                                                                +

                                                                -

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                -

                                                                Number of Openings:

                                                                0

                                                                -

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                -

                                                                -

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                -

                                                                -

                                                                -

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                -
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-19T23:53:00.000Z,False,0,20,90,https://talenthub.vectorinstitute.ai/jobs/232594483-data-analyst-at-loblaw-companies-ltd,,expired,2023-06-04T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -135ab909-cd39-4196-afaf-987931778d56,232858578,Sun Life Financial,Senior Data Scientist (Remote),on_site,"Ontario, Canada",2023-06-05T16:10:01.710Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Reporting to the Director, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                +

                                                                Start Date

                                                                +
                                                                – Summer

                                                                -

                                                                Sun Life views success in this role in demonstration of these key attributes:

                                                                -

                                                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in- depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                What will you do?

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:10:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/190518279-business-insights-analytics-associate-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +cbd78f0a-44a0-4f19-a89c-6115a2862c15,186278243,TELUS,Data Ethicist - REMOTE,on_site,"Ontario, Canada",2023-01-12T17:42:04.341Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                Join our team and what we\'ll accomplish together

                                                                +


                                                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Data Ethicist, reporting to the Director of Data Ethics & Governance, you will provide thought-leadership and work with a cross-functional group focused on enabling a framework for responsible use of data, including health data. You will guide the design and development of data research, data-driven products and services in accordance with ethical principles.

                                                                +


                                                                You will be a champion for data ethics across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to data ethics will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data, including health data, for social good and specifically to address some of society’s most pressing problems.

                                                                +


                                                                Here’s how

                                                                +

                                                                  -
                                                                • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                                                                • -
                                                                • Be able to work in cross functional teams to develop an ML/data science product

                                                                • -
                                                                • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                                                                • -
                                                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                                • -
                                                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                                • -
                                                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                                • -
                                                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                                • -
                                                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                                • -
                                                                • Champion and support diversity and inclusion

                                                                • +
                                                                • Provide ethical analysis and questioning for the implications of data use and technology evolution that is fair and transparent, considering the experience of a broad range of stakeholders to identify potential unintended consequences and impacts
                                                                • +
                                                                • Establish the data ethics framework to ensure there is understanding, consideration and foresight into the issues raised by previously unimaginable uses of data and the development of emerging technologies like AI
                                                                • +
                                                                • Enhance understanding of data ethics and its importance across TELUS, providing education and influencing the data user community and network of Data Stewards on responsible innovation
                                                                • +
                                                                • Work with TELUS engineers, researchers, designers and business stakeholders to embed ethical decision-making and risk mitigation and monitoring processes into emerging technology, ensuring that design and production is fit for purpose and beneficial
                                                                • +
                                                                • Maintain expert knowledge of data ethics toolkits, best practices and contribute to industry working groups on standards for data ethics and responsible innovation.
                                                                • +
                                                                • Define and oversee stakeholder engagement methods to incorporate participatory human-centered design and the consultation of diverse voices across the innovation lifecycle to enhance public understanding and improve the social impacts of technology
                                                                • +
                                                                • Learn continuously, innovate every day and seek opportunities to develop and demonstrate thought leadership with external stakeholders
                                                                • +
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                +

                                                                +
                                                                  +
                                                                • University degree or equivalent experience in applied ethics, philosophy, ethical machine learning, human-computer interaction, social and human sciences, or relevant fields
                                                                • +
                                                                • Valued for your knowledge and expertise in data ethics and ethical risk assessments of emerging technology
                                                                • +
                                                                • Experienced in establishing ethical decision-making and monitoring processes
                                                                • +
                                                                • Demonstrated knowledge and experience in conducting analysis around societal expectations, including identifying stakeholder values and defining techniques for engagement and input
                                                                • +
                                                                • Highly adaptable and comfortable working in a nascent field in a demanding and fast-paced environment
                                                                • +
                                                                • Able to identify and proactively consider opportunities outside of conventional thinking, providing multiple solutions to resolve problems and address gaps
                                                                • +
                                                                • Effective in written communication and verbally communicating progress on initiatives in leadership forums
                                                                • +
                                                                • Trusted as a collaborative partner with excellent interpersonal skills who will act with integrity and exemplify ethical practices to fulfill TELUS’ commitments to its customers
                                                                • +
                                                                • Post-secondary degree is a requirement
                                                                • +
                                                                +


                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Bilingualism in English & French, verbal and/or written
                                                                • +
                                                                • Experience working in a large, matrixed organization
                                                                • +
                                                                • Experienced in implementing multidisciplinary data ethics practices and collaborating in a cross-functional environment working with technology, policy, engineering, product and research teams
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Data-Ethicist-REMOTE-ON/564983417/,feed-importer@jobboard.io,,,,2023-02-07T23:06:00.000Z,False,0,12,86,https://talenthub.vectorinstitute.ai/jobs/186278243-data-ethicist-remote-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, +9fe53bbd-12d7-492d-b6e1-09a5064f94a9,192665224,Scotiabank,"Manager, Adjudication Data Analytics",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.925Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 169306

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose of Job:

                                                                +

                                                                +

                                                                The Adjudication Management function is responsible for working with the Retail and Small Business risk adjudication teams (Loan Adjudication Centres & Loan Underwriting Centres) across the Caribbean region. This function is responsible to peform Data Analytics for the adjudication process considering Operations and Credit Risk.

                                                                +

                                                                +

                                                                Job Responsibilities:

                                                                +

                                                                +

                                                                The Manager, Adjudication Data Analytics C & CA will work closely with the Director Adjudication to ensure that all adjudication teams are aligned in terms of the risk policies and Bank’s Risk Appetite. Key accountabilities include:

                                                                +

                                                                +

                                                                • Develop reports using Data Analytics techniques for the adjudication centres to monitor operational KPIs, loan performance and exception management reporting

                                                                +

                                                                • Apply critical thinking to validate improvements with the adjudication units using data and analytics

                                                                +

                                                                • Manage analytical inquiries related to executive decisions and conducts root cause analysis of key operational issues, providing guidance and advice towards optimal resolution and mitigation while ensuring a timely and high-quality response.

                                                                +

                                                                • Responsible for monitoring the activity of the adjudication teams to provide risk oversight, including providing monthly analysis on early warning indicators, process updates, impact on adjudication from new initiatives or risk policies.

                                                                +

                                                                • Participating in key risk initiatives and projects which focus on the key priorities of the Adjudication teams from the data analytics perspective.

                                                                +

                                                                • Conducting assessments of the operational activity across the adjudication workflow. It is required that the Manager will provide recommendations for efficiency gains and be responsible for implementing these recommendations leveraging data and analytics.

                                                                +

                                                                • Assisting in the preparation of training material and tools for adjudicaiton teams, including communication of changes and updates.

                                                                +

                                                                • Working closely with the heads of the adjudication teams and Quality Assurance to identify areas where processes and procedures may need to be developed to improve the overall consistency of credit risk decisions.

                                                                +

                                                                • Adherence to lean practices and methodology

                                                                +

                                                                • Assist the Director with planning, forecasting, ad hoc requests, research, and strategic projects as they arise

                                                                +

                                                                • Responsible for quarterly Cost Allocation Transfer Pricing Expenses for the Adjudication department

                                                                +

                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

                                                                +

                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy, and managing succession and development planning for the team

                                                                +

                                                                Job Requirements:

                                                                +

                                                                +

                                                                • Minimum bachelor's degree in business, economics, or finance or at least 3 year's working experience in retail banking or risk management
                                                                • Strong skills with data visualization tools such as Power BI, Tableau, SAS
                                                                • Experience on data analytics with a solid grasp of reporting practices and performance measurement tools
                                                                • Strong communication skills
                                                                • Strategic influencing abilities
                                                                • Assertive, and driven to be a change agent
                                                                • Fluent written and spoken English is mandatory
                                                                • Experience in Retail & Small Business banking, finance, credit risk are assets
                                                                • Spanish is an asset

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/192665224-manager-adjudication-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d61d8e1d-f197-4010-a014-c192e1da27bc,193457623,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-02-06T17:24:02.760Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                What will you need to succeed?

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                +

                                                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                +

                                                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                                                +

                                                                Job Description
                                                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                                                +

                                                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                                                +

                                                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                                                +

                                                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                                                +

                                                                Responsibilities

                                                                  -
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                                • -
                                                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                                • -
                                                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                                • -
                                                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                                • -
                                                                • Experience with AWS services including SageMaker

                                                                • -
                                                                • Experience with machine learning including supervised and unsupervised models

                                                                • -
                                                                • Demonstrated experience in data transformation & data manipulation

                                                                • -
                                                                • Experience working with Structured vs. Unstructured data

                                                                • -
                                                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                                                • -
                                                                • Effective and concise oral and written storytelling and insights communication skills

                                                                • -
                                                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                                • -
                                                                • Ability to document work and effectively prioritize documentation

                                                                • -
                                                                • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                                                • +
                                                                • Design / execute / measure high impact direct to consumer marketing experiments
                                                                • +
                                                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                                                • +
                                                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                                                • +
                                                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                                                • +
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • +
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • +
                                                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship
                                                                +

                                                                -

                                                                What will be nice to have?

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                Skill Sets

                                                                  -
                                                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                                • -
                                                                • Past experience working in Agile delivery model

                                                                • -
                                                                • Past experience in developing and deploying production grade model in cloud infrastructure

                                                                • +
                                                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                • +
                                                                • Technical and detail oriented
                                                                • +
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                                                • +
                                                                • A project management mindset to help deliver on time to specifications
                                                                • +
                                                                • Team player while able to work independently
                                                                • +
                                                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                                                • +
                                                                • A profit driven mindset
                                                                -

                                                                -

                                                                Unique Requirements

                                                                -

                                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                -

                                                                -

                                                                What\'s in it for you?

                                                                +

                                                                Qualifications

                                                                  -
                                                                • Remote/ Hybrid Work environment

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • 20 days vacation per year and an innovative sabbatical program

                                                                • -
                                                                • A friendly, collaborative and inclusive culture

                                                                • -
                                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                • -
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                • +
                                                                • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                                                • +
                                                                • Significant experience with IBM Campaign (Unica) an asset
                                                                • +
                                                                • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                                                • +
                                                                • Knowledge of Python, Azure, Databricks, Hadoop
                                                                • +
                                                                • Experience designing successful direct marketing experiments
                                                                • +
                                                                • Degree in business, science, statistics, engineering, or other quantitative discipline
                                                                • +
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                +
                                                                +

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                80,000/80 000 - 130,400/130 400

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                18/06/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Remote-_JR00080640?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-19T23:53:00.000Z,False,0,9,49,https://talenthub.vectorinstitute.ai/jobs/232858578-senior-data-scientist-remote-at-sun-life-financial,,expired,2023-06-05T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -69a741f9-4353-420a-b61a-efceff321cd9,228135963,RBC,"2023 GRM, Fall Global Risk Analytics (4 Months)",on_site,"Toronto, ON, Canada",2023-05-22T15:47:04.094Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                2023 GRM, Fall Global Risk Analytics (4 Months)

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                Global Risk Analytics (GRA) is the center of expertise for models used in risk management. This includes risk analytics for market risk, counterparty credit risk and emerging risk. GRA’s analytics innovation team focuses on emerging risks, including machine learning and climate analytics.

                                                                -

                                                                -

                                                                Given the large size of market data, data analytics (e.g., using advanced techniques such as machine learning) are needed to provide business insights. In addition, having an intelligent data visualization platform would bring the analytical presentation to the next level. As a result, GRA is developing a Dashboard web application for this purpose. This web application would serve as a centralized platform to host various data analytics dashboards.

                                                                -

                                                                -

                                                                Further, due to increasing importance of assessing the impacts of climate change to financial institutions, GRA is also building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., CCAR in US, ICAAP in UK). In particular, GRA has the model development ownership for several regional climate risk scenario analysis models, covering both transition risk (posed to clients in transition to low-carbon economy) and physical risk (posed by acute weather events) for different asset classes (e.g., corporate bond, municipal bonds, real estate, and wholesale loans).

                                                                -

                                                                -

                                                                Climate analytics is an emerging field. Institutions around the world (e.g., regulators, banks, vendors, etc.) are grappling with the challenges in how to enhance the data, scenario design, and methodology. At this stage, GRA is currently developing a unified platform to onboard different “climate risk + machine learning” modules, and potentially utilizing open-source data (if deemed appropriate) for research purposes.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                GRA is seeking an individual who is interested in applying data analytics (including machine learning) and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk, and developing Python-based tools for climate risk related analytics and machine learning applications. The candidate will learn data analytics and machine learning with applications in climate risk.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Assist to research open-source data and analytics platforms, such as OS-Climate, Oasis, Climate Analytics CIE, WRI Aqueduct, World Bank CCKP.
                                                                • -
                                                                • Identify use cases of the open-source platforms.
                                                                • -
                                                                • Assist to design and implement Python-based tools for climate risk related applications.
                                                                • -
                                                                • Make presentation to senior people in risk
                                                                • -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-09T17:29:05.822Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/193457623-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-02-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +55130e11-fb2f-4658-bc69-a99859bfb988,194548082,CIBC,"Director, Treasury Analytics",on_site,"Ontario, Canada",2023-02-09T17:06:02.350Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll be Doing

                                                                +

                                                                +

                                                                This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates. As the Director, Treasury Analytics will drive insights, identify inherent risk drivers of consumer products, and relate relate modeling risk specifications back to the business. You will dive into the underlying mechanics of the specific problems and translate complex concepts into program enhancements and specifications to Technology for development. Communicate complex problems and solutions to senior management and LOB.

                                                                +

                                                                +

                                                                Additionally, you will support the Senior Director, Treasury Analytics to conduct analysis to maintain analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options. You will assist in developing business requirements and conduct QA testing of Treasury systems and assist in applying advanced statistical models and financial engineering techniques to quantify and ensure minimal consumer behaviour risk. You will also assist in implementing and applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation to interpret and explain any resulting output.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                +
                                                                  +
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities, and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms/measures and mitigate model risk.

                                                                • +
                                                                • Support the management and enhancement of Cash-Flow Modeling Books - Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhance PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • +
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedgeable risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain and develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • +
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • +
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • +
                                                                +

                                                                +

                                                                Who You Are

                                                                +
                                                                  +
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • +
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • +
                                                                • You can demonstrate experience. In ALM, Product Analytics, Risk Management. Experience in quantitative analytics within banking and/or other financial institutions in areas of valuation, hedging and risk measurement is an asset. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high level languages. Experience working with banking retail products such as commitments, mortgages or GICs is an asset.

                                                                • +
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have knowledge of advanced GLM (including Cox regression), panel time series, and model selection.

                                                                • +
                                                                • You have a degree/diploma. Masters and/or Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics or related technical field with work experience in applied mathematical, statistical, and/or stochastic modeling.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • +
                                                                +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-161 Bay St 11th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Asset and Liability Management (ALM), Communication, Critical Thinking, Fixed Income Valuation, Hedging, Product Analytics, Python, Quantitative Analytics, Risk Management, Structured Query Language (SQL), Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-161-Bay-St-11th-Floor/Director--Treasury-Analytics_2301981?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-11T20:44:30.867Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/194548082-director-treasury-analytics-at-cibc,,expired,2023-02-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +615d60a2-735f-4baf-aaf6-62dedd158d2d,194550482,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-02-09T17:12:03.155Z,"
                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                +

                                                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                                                  -
                                                                • Strong programming experience in Python and SQL.
                                                                • -
                                                                • Knowledge about machine learning, data analytics, and data visualization
                                                                • -
                                                                • Ability to communicate technical matters in written and oral forms
                                                                • -
                                                                • Team players to collaborate and innovate
                                                                • +
                                                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • +
                                                                • Focus may be on a business/group.

                                                                • +
                                                                • Thinks creatively and proposes new solutions.

                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • +
                                                                • Works mostly independently.

                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                -

                                                                -

                                                                Nice-to-have

                                                                +

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • Interest in learning about emerging data and techniques to assess climate risk impact.
                                                                • -
                                                                • Understand of the big picture regarding how risk function works in banks
                                                                • -
                                                                • Knowledge of financial products in trading book and banking book.
                                                                • +
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                                                • +
                                                                • Experience in working with and linking big data sets across multiple sources.

                                                                • +
                                                                • Proficient in Microsoft Office.

                                                                • +
                                                                • Strong analytical and problem-solving skills.

                                                                • +
                                                                • Strong business communication and stakeholder management skills.

                                                                • +
                                                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work and make a difference
                                                                • -
                                                                • Opportunities to building close relationships
                                                                • -
                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Job Summary

                                                                -

                                                                Apply data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching climate risk methodology and developing Python-based tools for climate risk related analytics and machine learning applications.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Student/Coop (Fixed Term)

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-05-18

                                                                Application Deadline:

                                                                2023-06-18

                                                                -
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -
                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000057635/2023-GRM-Fall-Global-Risk-Analytics-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-19T23:52:00.000Z,False,0,13,50,https://talenthub.vectorinstitute.ai/jobs/228135963-2023-grm-fall-global-risk-analytics-4-months-at-rbc,,expired,2023-05-22T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -2fc9b394-afee-480c-95b9-77532e025c89,238529775,Scotiabank,Principal Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-06-22T15:52:03.524Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 180122

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -


                                                                The CID&A (Customer Insights, Data & Analytics) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                                                -

                                                                -


                                                                The role of the Principal Data Engineer operates within the Data Enablement & Architecture team. This valuable member of the team will be the Technical Lead responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data.

                                                                -

                                                                -


                                                                A Day in the life:

                                                                -


                                                                Working on the DEA (Data engineering & architecture) team within Scotiabank’s Data Office, you will meet individuals from around the bank. Working specifically with our cloud technologies you will be responsible for bringing the bank’s data together on cloud. As the Technical Lead of this product line, you’ll manage both the technical direction and engineering team on a day-to-day basis. You will also be instrumental in product design, working with Product Managers and Business Analysts to support the product roadmap and backlog. You will be a great fit if you are open to mentoring others, and passionate about implementing good design and development practices. This is an opportunity to grow a young product team into a key component of the bank’s strategic future.

                                                                -

                                                                -


                                                                Key Accountabilities:

                                                                -


                                                                • Lead a high-functioning Product Engineering Team!
                                                                • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                                                                • Be an evangelist and drive adoption of data services and automation tools
                                                                • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                                                • Participate in design discussions focused on scalability and design and implementation best practices.
                                                                • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                                                • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                                                • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                                                • Lead one or more products/services and define functions or features for data platforms.
                                                                • Support and maintain a successful product

                                                                -

                                                                -


                                                                Functional Competencies:

                                                                -


                                                                • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                                                • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                                                • 3+ years of experience leading and managing software development teams
                                                                • Proven experience designing service and microservice based architectures
                                                                • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                                                • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                                                • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                                                • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                                                                • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                                                • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                                                                • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                                                • Knowledge and understanding of analytics & data science life cycle
                                                                • Experience in Agile/Product/Architecture.
                                                                • Experience in Cloud Data Solutions would be an asset
                                                                • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                                                • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                                                • Strong communication skills, both written and spoken
                                                                • Attention to details, high standards for quality.
                                                                • Desire to learn, grow yourself and your team.
                                                                • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                                                • Writing and maintaining related documentation.
                                                                • Ability to be an effective influencer on technology direction / an effective evangelist.
                                                                • Helps recruit + groom technology leaders and future leaders.

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-CID&A-ON-M5H1H1/571497617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T18:21:10.403Z,False,0,3,53,https://talenthub.vectorinstitute.ai/jobs/238529775-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-CID&A-ON-M5H1H1/571497617/,expired,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -6d5e2be3-7e94-4e3c-9a81-c721e28a0aa8,242607500,Scotiabank,Manager Business Intelligence,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.325Z,"

                                                                -

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-11T20:49:01.630Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/194550482-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c7a3298c-5053-4f76-838a-971dc19b5a5b,194555551,Magna International,Compliance Analyst,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-02-09T17:39:02.705Z,"
                                                                +
                                                                +

                                                                Role Summary

                                                                +

                                                                +

                                                                Think big. Empowering each to act with confidence.

                                                                +

                                                                Take responsibility. Taking accountability for ourselves and others in our actions and commitments.

                                                                +

                                                                Never settle. Constantly innovating, improving and asking the right questions

                                                                +

                                                                Be collaborative. We do our best when we do it together, with respect and humility.

                                                                -

                                                                Requisition ID: 180497

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Consistent with our core values, the Compliance Analyst will posses a positive, energetic and professional disposition, be hightly adaptable and results-oriented with a meticulous attention to detail. The position is located in Aurora, Ontario.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Responsibilities

                                                                +

                                                                -

                                                                Reporting to the Director, International Business (IB) Analytics Transformation, the Business Intelligence (BI) Manager, IB Analytics will take ownership of complete work streams for BI Initiatives and deep analysis to answer key relevant questions from Senior Leadership. From collecting data to build compelling and storytelling visualizations to present results and insights, they will lead BI projects, in support of the in-country Analytics Roadmap, and drive accelerated benefits for our customers. The BI Manager ensures all strategies, plans and initiatives are executed/delivered in compliance with governing regulations, internal policies, and procedures. They will also support and contributes to the overall success of the International Banking (IB) analytics initiatives by supporting the execution of the BI reporting system, aligned with the business strategies and objectives. Lastly they will work with cross functional teams from various business lines in Canada and IB markets. This role requires business knowledge combined with data mining, and visual data techniques to improve the data availability and BI capabilities that will enhance the decision-making process while creating business value.

                                                                -


                                                                Accountabilities:

                                                                +

                                                                Data Management and Analytics

                                                                -
                                                                • Coordinate with our key partners in International Banking and across the division the review and collection of data for the different IB Analytics initiatives
                                                                • Review data to ensure its integrity for data analysis to deliver business insights and validate hypotheses
                                                                • Build compelling and user-friendly Power BI reports/dashboards
                                                                • Lead development efforts in ingesting and transforming data from various sources.
                                                                • Build scripts, and be responsible for end-to-end delivery of data
                                                                • Translate the findings into executive communications
                                                                • +
                                                                  • Build and develop complex reports using database management systems
                                                                  • Deliver recommendations to support business decision-making by the identification and interpretation of risk, trends and opportunities for continuous improvement.
                                                                  • Identify opportunities for process improvement (e.g. improvements to data management tools)
                                                                  • Collaborate closely with stakeholders to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
                                                                  • Connect and build pipelines between various data sources
                                                                  • Lead for identifying and interpreting trends as it relates to compliance metric results and benchmarking
                                                                  • Leading Power BI/Power Automate software development, deployment, and maintenance
                                                                  • Documenting contents in a data warehouse and meta-data storage
                                                                  • Creating technical documentation and user guides for BI tools and other processes
                                                                  • Develop, maintain, and improve KPI dashboards in Power BI to ensure data integrity and accuracy

                                                                  -

                                                                  Education and Experience:

                                                                  +

                                                                  Learning Management System (LMS) & Workday

                                                                  -
                                                                  • Bachelor’s Degree in Computer Science, Statistics, or related field
                                                                  • 4+ years of experience in financial services, business intelligence and/or data engineering
                                                                  • Must have a working knowledge of Retail Banking products: lending, deposits and complementary products and services offered by other financial institutions and niche competitors
                                                                  • Self-motivated, driven and impact-oriented
                                                                  • Demonstrated ability to analyze data, interpret results and communicate in simple terms
                                                                  • Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics
                                                                  • Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments
                                                                  • Nice to have familiarity with DBA tasks and ETL tools
                                                                  • Fluency in Spanish is required
                                                                  • +
                                                                    • LMS Subject Matter Expert - responsible for the implementation and deployment of all e-learning courses, creating course assignment profiles, and reporting
                                                                    • Workday - managing global compliance targets in Workday and ensuring that logic and formulas are accurate for proper course assignments
                                                                    • Collaborate and support Subject Matter Experts with respect to global training records including assignments, tracking, reporting and monitoring

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-24T15:57:05.291Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/242607500-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -77e8a4b9-8410-4610-95d8-79e528302b90,246294057,Scotiabank,"Senior Manager, Financial Crimes Risk Management Models and Analytics - Client Risk Rating",on_site,Canada : Ontario : Toronto,2023-07-13T15:52:02.660Z,"

                                                                -

                                                                +

                                                                Projects & Key Initiatives

                                                                +
                                                                • Provide support for global projects
                                                                • Other duties as assigned
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Qualifications/Requirements

                                                                +

                                                                -

                                                                Requisition ID: 180969

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Knowledge and Education

                                                                -

                                                                Purpose of Job

                                                                -

                                                                -

                                                                We are seeking a highly analytical and skilled Senior Manager to join our team. The ideal candidate will have a strong background leading and managing a team of Data Scientists completing data analysis, statistical modelling, and machine learning. The Senior Manager will be responsible for leading the design, enhancements, and implementations of data-driven solutions supporting the Bank's AML/ATF Client Risk Rating models.

                                                                -

                                                                -

                                                                This role contributes to the overall success of Global Compliance’s AML/ATF team by analyzing and improving Client Risk Rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

                                                                -

                                                                -

                                                                Key Job Accountabilities

                                                                -

                                                                -
                                                                • Lead and manage a team applying a range of modeling techniques from basic statistical models to AI and Machine Learning, to develop, maintain and implement models for client risk rating case generation in support of Scotiabank’s AML/ATF program
                                                                • Oversee the creation and maintenance of documentation for models and for the results data analysis
                                                                • Collaborate and coordinate with project teams and teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
                                                                • Communicate complex data findings and insights to technical and non-technical stakeholders
                                                                • Lead the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
                                                                • Lead the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements
                                                                • -
                                                                -

                                                                -

                                                                Skills, Experiences and Functional Competencies

                                                                -

                                                                -
                                                                • Experience leading a team of Data Scientists, having statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQL-like language is preferred, experience with Apache Spark is beneficial
                                                                • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks
                                                                • Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
                                                                • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
                                                                • Excellent communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment
                                                                • -
                                                                -

                                                                -

                                                                Education and Other Requirements

                                                                -

                                                                -
                                                                • Master’s degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
                                                                • Fluency in both English and Spanish is preferred
                                                                • +
                                                                  • University Degree or College Diploma required (Data Analytics, Business Analytics, Managing Data & Information or other relevant fields)

                                                                  +

                                                                  Work Experience

                                                                  -

                                                                  #LI-hybrid

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-Client-Risk-Rating-ON-M5C2W1/572047217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-10T15:57:04.238Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/246294057-senior-manager-financial-crimes-risk-management-models-and-analytics-client-risk-rating-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-Client-Risk-Rating-ON-M5C2W1/572047217/,expired,2023-07-13T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -de40e1a3-aa53-4a9b-95d9-bcc44f52e91a,268013836,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-09-08T02:25:02.018Z,"

                                                                Description

                                                                -

                                                                Position: Staff Perception Developer - Localization and Mapping
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 5-10 Years Relevant Work Experience
                                                                Education: Graduate Degree in a related field
                                                                Division: OTTO Motors

                                                                -


                                                                About OTTO Motors, a division of Clearpath Robotics

                                                                -

                                                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                -

                                                                About the Job

                                                                -

                                                                We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                -

                                                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                -

                                                                About You

                                                                -

                                                                For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                -

                                                                Your primary responsibilities will be:

                                                                -
                                                                  -
                                                                • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
                                                                • -
                                                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                • -
                                                                • Evaluation of new algorithms and sensing technology
                                                                • -
                                                                • Assisting with concept development for new products and projects
                                                                • -
                                                                • Supporting deployment and testing of robotic systems
                                                                • +
                                                                  • 2+ years of practical experience in a corporate environment, preferably a multinational company
                                                                  • Proven record in identifying process issues and scoping possible solutions
                                                                  -
                                                                    -
                                                                  • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                  • -
                                                                  • Stay up to the date with the latest developments from academia and industry
                                                                  • +

                                                                    +

                                                                    Skills and Competencies

                                                                    +

                                                                    +
                                                                    • Technologically proficient: Office 365 (Word, Excel, PowerPoint, SharePoint, MS Project, TEAMS), and ability to learn new software
                                                                    • Experience managing complex databases and dashboards
                                                                    • Basic understanding of Power Automate
                                                                    • Self-motivated with a desire and eagerness to learn
                                                                    • Excellent analytical and problem-solving skills
                                                                    • Proactive approach to improving processes
                                                                    • Able to work independently without supervision
                                                                    • Meticulous attention to detail
                                                                    • Strong organizational skills and ability to prioritize multiple priorities
                                                                    • Effective written and oral communication
                                                                    • Experience with Power BI would be an asset
                                                                    -

                                                                    Skills and experience:

                                                                    -
                                                                      -
                                                                    • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                    • -
                                                                    • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
                                                                    • -
                                                                    • Strong software development skills in modern C++.
                                                                    • -
                                                                    • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                    • -
                                                                    • Excellent leadership, teamwork, and communication skills.
                                                                    • -
                                                                    • Ability to independently develop software development plans, including scope, timelines, and test procedures.
                                                                    • -
                                                                    • Hands-on experience with real world autonomous systems.
                                                                    • +

                                                                      +

                                                                      Work Environment

                                                                      +

                                                                      +
                                                                      • This position takes place in a standard work environment
                                                                      • Hybrid working environment
                                                                      • No regular travel required
                                                                      -

                                                                      Bonus points for:

                                                                      +
                                                                +
                                                                +
                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                +

                                                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                +

                                                                +

                                                                Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                                                +
                                                                +
                                                                +
                                                                ",,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-03-11T21:11:43.890Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/194555551-compliance-analyst-at-magna-international,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/,expired,2023-02-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, +77efad39-3386-42d5-8a80-5445110732a0,157319824,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2022-10-17T15:06:50.775Z,"

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                                                +

                                                                As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                                                +

                                                                Must-Have

                                                                  -
                                                                • Experience writing efficient, high performance code
                                                                • -
                                                                • ROS, Gazebo, OpenCV and PCL experience
                                                                • -
                                                                • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
                                                                • -
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                • +
                                                                • Experience with building and scaling data-intensive software in Java
                                                                • +
                                                                • You value good software design and sweat over details in code and API design
                                                                • +
                                                                • Knowledge of machine learning modelling workflow
                                                                • +
                                                                • You enjoy learning new technology and also educating others
                                                                • +
                                                                • You strive to communicate clearly and with empathy
                                                                • +
                                                                • You take great personal pride in building robust and scalable software
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                -

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-09-21T12:35:02.318Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/268013836-staff-perception-developer-localization-and-mapping-at-clearpath,,expired,2023-09-08T02:25:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, -a484fa1a-7a32-4dcd-a5b6-5e20df9e2d73,268013835,Clearpath,Perception Team Lead - Localization and Mapping,on_site,"Ontario, Canada",2023-09-08T02:25:01.872Z,"

                                                                Description

                                                                -

                                                                Position: Perception Team Lead - Localization and Mapping
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 5-10 Years Relevant Work Experience
                                                                Education: Graduate Degree in a related field
                                                                Division: OTTO Motors

                                                                -


                                                                About OTTO Motors, a division of Clearpath Robotics

                                                                -

                                                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                -

                                                                About the Job

                                                                -

                                                                We\'re looking for a driven, resourceful, motivated candidate for the Perception Team Lead position. This person will lead a team of developers to create and maintain the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                -

                                                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                -

                                                                About You

                                                                -

                                                                For the role of Perception Team Lead we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                -

                                                                Your primary responsibilities will be:

                                                                +

                                                                +

                                                                Nice to have

                                                                  -
                                                                • Lead a team of exceptional perception developers to create robust innovative solutions to the problems of robotic perception
                                                                • -
                                                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                • -
                                                                • Evaluation of new algorithms and sensing technology
                                                                • -
                                                                • Assisting with concept development for new products and projects
                                                                • -
                                                                • Supporting deployment and testing of robotic systems
                                                                • -
                                                                • Supervising and mentoring team members
                                                                • -
                                                                +
                                                              • Experience building a library or a framework
                                                              • +
                                                              • Knowledge of machine learning algorithms
                                                              • +
                                                              • Experience with Kubernetes
                                                              • +
                                                              • Data analytics
                                                              • +
                                                              • Comfortable with math or statistics
                                                              • +",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,careers@layer6.ai,https://layer6.ai/careers/,,,2022-11-16T15:06:53.778Z,False,0,5,52,https://talenthub.vectorinstitute.ai/jobs/157319824-machine-learning-engineer-framework-at-layer-6,,expired,2022-10-17T15:06:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +cd386386-0a89-4e0a-8545-66b2720598fb,109607350,Bell Canada,"Developer, Data Science, Bell Media",on_site,"Toronto, Ontario",2022-02-18T14:18:29.847Z,"

                                                                Req Id: 350091

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.

                                                                +

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

                                                                +

                                                                +

                                                                About the team:

                                                                +

                                                                Bell Media’s Data Science and Infrastructure team is building out the next generation of experience for customers across Digital and Linear properties. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive performance enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                +

                                                                +

                                                                Bell Media’s Data Science & Infrastructure team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions.

                                                                +

                                                                +

                                                                We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization. They will report to Senior Manager, Data Science & Product Intelligence and will play a key role in developing AI/ML products across Bell Media.

                                                                +

                                                                +

                                                                Key Responsibilities:

                                                                  -
                                                                • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                • -
                                                                • Stay up to the date with the latest developments from academia and industry
                                                                • +
                                                                • Support the cycle of machine learning product development from inception to launch to monitoring
                                                                • +
                                                                • Collaborate with cross-functional, agile teams of data engineers, ML engineers, and product managers in solving business problems
                                                                • +
                                                                • Build, automate, and maintain machine learning pipelines for training machine learning models cloud systems
                                                                • +
                                                                • Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
                                                                -

                                                                Skills and experience:

                                                                +

                                                                +

                                                                Minimum Qualifications:

                                                                  -
                                                                • Graduate degree in engineering/CS or a related field
                                                                • -
                                                                • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, or sensor modeling.
                                                                • -
                                                                • Strong software development skills in modern C++
                                                                • -
                                                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                • -
                                                                • Excellent leadership, teamwork, and communication skills
                                                                • -
                                                                • Ability to independently develop software development plans, including scope, timelines, resource estimates, and test procedures.
                                                                • +
                                                                • Proven track record of continuous learning
                                                                • +
                                                                • Intermediate knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                                                                • +
                                                                • 3-5+ Years Python for data science experience
                                                                • +
                                                                • Hands-on experience with popular AI/ML frameworks
                                                                • +
                                                                • Intermediate Python development skills with solid understanding of code design, algorithms, and data Structures
                                                                • +
                                                                • Experience with SQL and database systems
                                                                -

                                                                Bonus points for:

                                                                +

                                                                +

                                                                Preferred Qualifications:

                                                                  -
                                                                • Hands-on experience with real world autonomous systems
                                                                • -
                                                                • Experience with leading software development teams.
                                                                • -
                                                                • Experience writing efficient, high performance code
                                                                • -
                                                                • ROS, Gazebo, OpenCV and PCL experience
                                                                • -
                                                                • Familiarity with graph optimization techniques and libraries
                                                                • -
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                • +
                                                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
                                                                • +
                                                                • Skilled communicator with a proven record of leading projects across disciplines
                                                                • +
                                                                • Experience with CI/CD pipelines
                                                                • +
                                                                • Experience with development and deployment ML Models
                                                                • +
                                                                • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
                                                                • +
                                                                • Experience with distributed data and cloud computing resources such as AWS, GCP
                                                                -

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/oWdumfwJ,feed-importer@jobboard.io,,,,2023-09-21T12:35:02.318Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/268013835-perception-team-lead-localization-and-mapping-at-clearpath,,expired,2023-09-08T02:25:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Team Lead,Masters Degree,New Posting, -8b9f2d00-936a-4c1a-aa31-345a43bbf7e6,261881655,Cohere AI,"Member of Technical Staff, Data Acquisition",on_site,"Toronto, ON, Canada",2023-08-20T16:04:02.025Z,"
                                                                -
                                                                Who are we?
                                                                -
                                                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                                                -

                                                                -
                                                                We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                                                -

                                                                -
                                                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.
                                                                -

                                                                -
                                                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                                                -

                                                                -
                                                                Why this role?
                                                                -
                                                                At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models.
                                                                -

                                                                -
                                                                Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control.
                                                                -

                                                                -
                                                                This role will be part of the Data Acquisition team, which broadly provides data for training models and is responsible for building and maintaining the infrastructure that acquires, cleans, and formats data for model training. We are looking for a technically skilled, resourceful problem-solver who is able to work in areas of ambiguity and find efficient and sometimes creative solutions. The main responsibility of this role is to improve our internal data acquisition infrastructure, which includes data crawlers, formatters, and integrations with data providers. This role would also work closely with different teams at Cohere to support their data acquisition needs, as well as engage in more experimental work to develop highly informative data signals.
                                                                -

                                                                -
                                                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                                                -
                                                                -

                                                                As a Member of Technical Staff, Data Acquisition, you will:

                                                                -
                                                                    -
                                                                  • Develop data pipelines to acquire, prepare, and integrate high-quality datasets into model training and evaluation
                                                                  • -
                                                                  • Collaborate with research and product teams to identify, prioritize, and secure new data sources
                                                                  • -
                                                                  • Enhance and develop infrastructure for data management, pipeline orchestration, and MLOps, while avoiding premature optimization
                                                                  • -
                                                                  • Run experiments using new data inputs, preprocessing techniques, and data mixtures
                                                                  • -
                                                                -
                                                                -

                                                                You may be a good fit if:

                                                                -
                                                                    -
                                                                  • You have more than 2 years of experience working on a software or machine learning engineering team
                                                                  • -
                                                                  • You have proficiency in Python and have used distributed processing technologies like Spark, Dask, etc.
                                                                  • -
                                                                  • You have experience building data pipelines and ETL processes for large-scale datasets
                                                                  • -
                                                                  • You have experience working with unstructured and/or human-annotated data (e.g., collecting or assessing sample quality).
                                                                  • -
                                                                  • You have experience with ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                                                                  • -
                                                                  • You have strong communication and problem-solving skills, preferring the right tool for the job even if it’s outside your wheelhouse
                                                                  • -
                                                                  • You feel comfortable actively reading academic literature and researching state-of-the-art NLP best practices.
                                                                  • -
                                                                  • You have a demonstrated passion for applied NLP models and products
                                                                  • -
                                                                -
                                                                -
                                                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                -

                                                                -
                                                                We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                                                                -

                                                                -
                                                                Our Perks:
                                                                -
                                                                🤝 An open and inclusive culture and work environment
                                                                -
                                                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                -
                                                                🍽 Free daily lunch
                                                                -
                                                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                -
                                                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                -
                                                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                -
                                                                🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
                                                                -
                                                                ✈️ 6 weeks of vacation
                                                                -

                                                                -
                                                                Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                -
                                                                ",,https://jobs.lever.co/cohere/40ff163b-6cb9-4f35-a682-059cc03f14ba,feed-importer@jobboard.io,,,,2023-09-20T18:15:14.617Z,False,0,17,72,https://talenthub.vectorinstitute.ai/jobs/261881655-member-of-technical-staff-data-acquisition-at-cohere-ai,https://jobs.lever.co/cohere/40ff163b-6cb9-4f35-a682-059cc03f14ba,expired,2023-08-20T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -fd12e841-21f0-4bff-84f4-6b1c0cb0e430,262234738,EllisDon,Data Governance & Backup Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-08-21T16:22:11.559Z,"

                                                                Job Details

                                                                Description

                                                                -

                                                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                                -

                                                                Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

                                                                -

                                                                We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

                                                                -

                                                                Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                                                                -

                                                                In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                                                                -

                                                                You as a Storage and Backup Specialist:

                                                                -
                                                                  -
                                                                • Corporate Data Governance Strategy for Azure Cloud environment
                                                                • -
                                                                • MTTR planning including updates to Disaster Recovery and Business Continuity plans
                                                                • -
                                                                • Extensive experience in Storage Consolidation, Backup administration, testing, and verification of backups
                                                                • -
                                                                • Administer, maintain, troubleshoot, and support large complex multi-platform Storage environment that includes fiber channel SAN with multiple directors, servers, storage frames technologies, as well as enterprise backup technologies.
                                                                • -
                                                                • Architect, design and implement infrastructure solutions for server hosting, virtualization, storage area network, centralized back-up, security, monitoring.
                                                                • -
                                                                • Manage monitoring, alerting, capacity planning, provisioning, and reporting for all storage subsystems.
                                                                • -
                                                                • Identify, analyze, and resolve problems specifically on storage, backup and in general, cross platform environments.
                                                                • -
                                                                • Identify, define, and develop improvements to processes that support the infrastructure at all Core locations and Satellite office.
                                                                • -
                                                                • Prepare Implementation plan, rollback plan and test plan, risk, and impact analysis for critical or complex changes. Review the change plan and documentation prepared by level 2 engineers for peer review
                                                                • -
                                                                -

                                                                This is the right role for you, if you have:

                                                                -
                                                                  -
                                                                • A University degree in Computer Science or equivalent
                                                                • -
                                                                • Experience with M365 Cloud Storage Solutions & Azure Cloud Files Services
                                                                • -
                                                                • Experience with Data Migrations and Systems Integrations
                                                                • -
                                                                • Experience with CommVault/Metallic experience is an asset
                                                                • -
                                                                • Back-up Experience On-Premise and Cloud
                                                                • -
                                                                • 8 years of F/T industry-level experience
                                                                • -
                                                                • Excellent communication skills, including an ability to work collaboratively across multi-disciplinary teams, interpersonal skills are essential.
                                                                • -
                                                                -

                                                                EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                                                                -

                                                                Go ahead and be yourself. We'll pay you for it!

                                                                -

                                                                We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                                                                -

                                                                Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                                                                -

                                                                We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                                                                Qualifications

                                                                Skills

                                                                Behaviors

                                                                :

                                                                Motivations

                                                                :

                                                                Education

                                                                Experience

                                                                Licenses & Certifications

                                                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=0d7d249e-7994-4a6a-8035-173626f7dfbf,feed-importer@jobboard.io,,,,2023-09-20T18:33:33.859Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/262234738-data-governance-backup-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=0d7d249e-7994-4a6a-8035-173626f7dfbf,expired,2023-08-21T16:22:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Senior Level,Bachelors Degree,New Posting, -0c24dc20-495a-416c-9fd5-2cbebf0b90bc,267934845,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-09-07T16:27:12.805Z,"
                                                                We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                                                                -
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                                                                  • -
                                                                  • Work on different stages of the problem from prototyping to production
                                                                  • -
                                                                  • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                                                                  • -
                                                                  • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                                                                  • -
                                                                  • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                                                                  • -
                                                                  • Advocate for code and engineering process improvements across your team, and help define best practices
                                                                  • -
                                                                  • Participate in sprint planning, estimations, and reviews
                                                                  • -
                                                                  • Work with teammates to ensure high-quality deliverables
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                                                                  • -
                                                                  • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                                                                  • -
                                                                  • Excellent software engineering skills in Python
                                                                  • -
                                                                  • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                                                                  • -
                                                                  • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                                                                  • -
                                                                  • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                                                                  • -
                                                                  • A constant desire to develop
                                                                  • -
                                                                  • A team player who strives to see teammates succeed together
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/70149476-b05b-4c4b-9880-f918c403cac9?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-09-21T16:34:05.900Z,False,0,9,57,https://talenthub.vectorinstitute.ai/jobs/267934845-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/70149476-b05b-4c4b-9880-f918c403cac9,expired,2023-09-07T16:27:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -cb4dcf68-e4cd-4381-b3cd-32aacb5322f1,269829807,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto,2023-09-14T16:24:04.390Z,"

                                                                +

                                                                NOTE: There are 2 openings available - one will be full-time permanent, one will be full-time temporary (contract of 12 months). Please indicate in your application if you are interested in being considered for one or both employment types.

                                                                +

                                                                +

                                                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status: Regular - Full Time
                                                                Job Location: Canada : Ontario : Toronto

                                                                +

                                                                Flexible work profile: Mobile
                                                                Application Deadline: 02/18/2022

                                                                -

                                                                Requisition ID: 184728

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                -

                                                                Purpose
                                                                Contributes to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -


                                                                Accountabilities
                                                                • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                                                • Leverage distributed computing tools (e.g. Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                                                • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                                                • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present results to business line stakeholders and help implement real data-driven changes
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                                                • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                -


                                                                Education / Experience / Other Information
                                                                • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                                                • Experience with machine learning, statistical techniques, as well as model testing and validation
                                                                • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
                                                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                • Programming skills in Python, Java or Scala
                                                                • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                                                • Experience with UNIX tools and shell scripting preferred
                                                                • Expertise with Docker or Kubernetes is an asset
                                                                • Experience with various services on Google Cloud Platform is an asset
                                                                • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                                                • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                                                • Experience using and implementing visualization tools is an asset
                                                                • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                                                • Experience working with cross-functional team in an Agile environment is an asset
                                                                • Strong verbal, written, presentation & communication skills
                                                                • Proactive, organized, excellent analytical and problem-solving skills

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H3Y2/573887617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-21T16:29:04.885Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/269829807-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H3Y2/573887617/,expired,2023-09-14T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -e05b48e3-8d00-4e38-9870-4dff4f852978,269308176,ChainML,"Marketing Specialist, AI",full,Canada,2023-09-12T16:52:30.729Z,"

                                                                About ChainML

                                                                -

                                                                ChainML is a startup founded by a team of experienced tech executives and machine learning experts, including 3 Vector Institute alumni. We’re building Council - an open-source Agent-based framework that simplifies the integration and amplifies the utility of state-of-the-art generative AI models like GPT-4 and Llama-2 into business applications.
                                                                https://github.com/chain-ml/council

                                                                -

                                                                About the Role

                                                                ChainML is looking for a marketing specialist with good knowledge of the emerging AI technology landscape and experience in growing brand and community for projects at the intersection of open-source and enterprise.

                                                                We are looking for full-time employees. We will hire marketing specialists with varying degrees of experience and compensate appropriately.
                                                                  -
                                                                -

                                                                What you will do

                                                                -
                                                                  -
                                                                • Strategic Planning: Develop and execute comprehensive marketing strategies tailored to highlight the capabilities of our products.
                                                                • -
                                                                • Content Creation: Create engaging, informative, and persuasive content such as blog posts, whitepapers, case studies, videos, and webinars that showcase the value of our offerings.
                                                                • -
                                                                • Campaign Development: Ideate and execute targeted marketing campaigns to generate leads, drive engagement, and foster brand awareness within the AI and open-source communities.
                                                                • -
                                                                • Audience Engagement: Build and nurture relationships with AI enthusiasts, developers, decision-makers, and other stakeholders through social media, forums, industry events, and partnerships.
                                                                • -
                                                                • Thought Leadership: Establish ChainML as a thought leader in the AI and open-source space by contributing to industry conversations, sharing insights, and participating in relevant events.
                                                                • -
                                                                • Collaboration: Work closely with the product, sales, and engineering teams as well as external marketing partners to gather insights, align messaging, and coordinate product launches and updates.
                                                                • -
                                                                • Analytics and Optimization: Monitor the performance of marketing initiatives related to AI and open-source, analyze key metrics, and adjust strategies to achieve optimal results.
                                                                • -
                                                                  - +

                                                                  Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                  +

                                                                  +

                                                                  Created: Canada, ON, Toronto

                                                                  +

                                                                  +

                                                                  Bell, one of Canada's Top 100 Employers.

                                                                  ",,https://jobs.bell.ca/ca/en/job/BECACA350091EXTERNALENCA/Developer-Data-Science-Bell-Media?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-02-22T22:42:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/109607350-developer-data-science-bell-media-at-bell-canada,BECACA350091EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +de76ec36-602d-479e-92e9-3592d6575f50,157435780,Linamar,Software Engineer,on_site,"Guelph, ON, Canada",2022-10-17T18:36:04.289Z,"

                                                                  Job Title: Engineer, Software

                                                                  +

                                                                  Innovation Hub

                                                                  +

                                                                  Are you someone who is eager to learn by being at the forefront of new technology?

                                                                  +

                                                                  You should have a good understanding of machine deep learning and power electronics and processes, along with growing experience in fast-paced manufacturing / production environments.

                                                                  +

                                                                  Powering Vehicles, Motion, Work, and Lives since 1966.

                                                                  +

                                                                  Responsibilities

                                                                  +

                                                                  Ensure compliance with all legislative requirements in the facility’s geographic location and:

                                                                  +
                                                                    +
                                                                  • +· The Global Operating System Plays;
                                                                  • +
                                                                  • +· OHSAS 18001: Health and Safety management system standard;
                                                                  • +
                                                                  • +· ISO 14001: Environmental Management system standard;
                                                                  • +
                                                                  • +· TS 16949 Technical Specification Management and Linamar Quality Basics system standards.
                                                                  • +
                                                                  • Power Electronics
                                                                  • +
                                                                  • Wire bonding
                                                                  • +
                                                                  • PCB/Electronics manufacturing
                                                                  • +
                                                                  • Experience in one or more of the following:
                                                                    • Full-Stack Development Experience
                                                                    +
                                                                  • +
                                                                  • Full end to end solutions (backend to frontend framework development experience)
                                                                  • +
                                                                  • System architecture and design decision experience
                                                                  • +
                                                                  • High-volume production environments, ideally with software application development teams
                                                                  -

                                                                  Qualifications

                                                                  -
                                                                    -
                                                                  • Bachelor's degree in Marketing, Business, Computer Science, or a related field. Master's degree is a plus.
                                                                  • -
                                                                  • Proven track record of marketing experience for a tech company, with a focus on AI, open-source technologies, or related domains.
                                                                  • -
                                                                  • Strong understanding of AI concepts, open-source principles, and their applications in business contexts.
                                                                  • -
                                                                  • Excellent written and verbal communication skills, with the ability to distill complex technical information into clear and compelling content.
                                                                  • -
                                                                  • Experience in developing and executing successful marketing campaigns, preferably within the technology sector.
                                                                  • -
                                                                  • Familiarity with AI developer communities, forums, and industry events is highly advantageous.
                                                                  • -
                                                                  • Analytical mindset with the ability to derive insights from data and adjust strategies accordingly.
                                                                  • -
                                                                  • Creative thinker with the ability to generate innovative marketing ideas and approaches.
                                                                  • -
                                                                  • Proficiency in using marketing tools and platforms, including social media, content management systems, and analytics tools.
                                                                  • -
                                                                    - +

                                                                    Support, Foster, Promote and Demonstrate Linamar’s Core Values and Leadership Behaviors.

                                                                    +

                                                                    Maintain balance between customer, employee and financial satisfaction by maximizing facility/department Performance Indicators to align to Linamar’s Stepping Stool of Success Strategy.

                                                                    +

                                                                    Support and maintain department lean initiatives as set out in LPS system requirements.

                                                                    +

                                                                    Maintain department 5S requirements.

                                                                    +

                                                                    Develop a clear understanding of our factory-floor requirements for the use of IoT data.

                                                                    +

                                                                    Engage in effective and collaborative communications to ensure timely and efficient development processes.

                                                                    +

                                                                    Participate in all aspects of development lifecycles: Ideation, Design, Build, Test, Operate.

                                                                    +

                                                                    Collaborate with all aspects within the organization, from end users to management, from product managers, to system owners to ensure a best in class product.

                                                                    +

                                                                    Translate User Requirements into Technical Requirements with the Business-In-Mind.

                                                                    +

                                                                    Experience

                                                                    +

                                                                    To effectively contribute to this team, the role requires

                                                                    +

                                                                    3+ Years in an Engineering, Operations, DevOps, Manufacturing, Automation or similar environment.

                                                                    +

                                                                    System virtualization, networking, and data storage technology

                                                                    +

                                                                    Machine learning

                                                                    +

                                                                    Python Programming

                                                                    +

                                                                    Autoencoder development

                                                                    +

                                                                    Statistical analysis

                                                                    +

                                                                    Data science

                                                                    +

                                                                    Industrial controls and automation

                                                                    +

                                                                    Understanding of industrial controls, software, and supporting devices (Cameras, Robots)

                                                                    +

                                                                    Organized and proficient at time management

                                                                    +

                                                                    A skilled communicator, facilitator and team player

                                                                    +

                                                                    Energized working in a fast-changing environment

                                                                    +

                                                                    Additional assets for consideration include experience in:

                                                                    +

                                                                    What Linamar Has To Offer

                                                                    +
                                                                      +
                                                                    • Opportunities for career advancement.
                                                                    • +
                                                                    • Community based outreach supporting both local and global initiatives and charities.
                                                                    • +
                                                                    • Social committees and sports teams.
                                                                    • +
                                                                    • Discounts for local vendors and events, including auto supplier discounts.
                                                                    -

                                                                    Travel Considerations

                                                                    -

                                                                    At ChainML, we value both in-person and remote engagements, recognizing the importance of global connections. Team members may have opportunities to attend conferences and events and to occasionally meet in person with clients in Europe, the USA, Asia, and other global destinations. Our teams work together to strategize and ensure manageable travel schedules.

                                                                    +

                                                                    About Us

                                                                    +

                                                                    Linamar Corporation is a Canadian diversified global manufacturing company of highly engineered products across global industries & markets. From the entrepreneurial seeds planted by our dynamic founder, to the support provided along the way, all Linamar employees are poised for success in this fast-paced and rapidly growing environment. With access to the tools you need to succeed, you will make an impact along with other motivated and engaged people.

                                                                    +

                                                                    Linamar is committed to promoting accessible recruitment as outlined in the Accessibility for Ontarians with Disabilities Act. Linamar will attempt to accommodate persons with a disability in an appropriate and effective manner throughout all stages of the recruitment process. Accommodations will be provided upon request.

                                                                    ",robyn.gladstone@linamar.com,,robyn.gladstone@linamar.com,http://www.linamar.com,,,2022-11-18T15:16:31.265Z,False,4,0,64,https://talenthub.vectorinstitute.ai/jobs/157435780-software-engineer-at-linamar,,expired,2022-10-17T18:36:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Manufacturing ,Associate,College Diploma,New Posting, +bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowships,on_site,"Toronto, ON, Canada",2022-10-20T14:44:16.353Z,"

                                                                    Supporting academic research sits at the core of Borealis AI. Our Graduate Fellowship program has been designed to help exceptional domestic and international students achieve their goals as they pursue graduate degrees at a Canadian university in ML or AI.

                                                                    +

                                                                    Who can apply:
                                                                    Application eligibility criteria

                                                                    +

                                                                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                    +

                                                                    How to Apply

                                                                    +
                                                                    • Please gather the following materials in order to proceed with your application. You will not be able to save the application once you start. The deadline to submit your application is 11:59 pm ET on November 8, 2022.
                                                                    +

                                                                    ",,https://www.borealisai.com/program/fellowships/,aitalent@vectorinsitute.ai,https://www.borealisai.com/en/careers/,,,2022-11-19T14:44:21.710Z,False,0,16,165,https://talenthub.vectorinstitute.ai/jobs/158105432-borealis-ai-fellowships-at-borealis-ai,,expired,2022-10-20T14:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Fellowship,PhD,New Posting, +280e0938-0700-4956-b25e-a90f06dfd93e,179957093,CIBC,"Senior Consultant, Advanced Analytics",on_site,"Ontario, Canada",2022-12-22T17:06:04.967Z,"
                                                                    +

                                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                    +

                                                                    +

                                                                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                    +

                                                                    +

                                                                    To learn more about CIBC, please visit CIBC.com

                                                                    +

                                                                    +

                                                                    Job Description

                                                                    +

                                                                    +

                                                                    What you’ll be doing

                                                                    +

                                                                    +

                                                                    Reporting to the Director, Advanced Analytics you will be a senior contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Senior Consultant will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                                                    +

                                                                    +

                                                                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                    +

                                                                    +

                                                                    How you’ll succeed

                                                                      +
                                                                    • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.
                                                                    • +
                                                                    • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.
                                                                    • +
                                                                    • Work closely with IA and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.
                                                                    • +
                                                                    • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.
                                                                    • +
                                                                    • Provide technical, motivational and strategic thought leadership to the Advanced Analytics team in planning and executing in-depth data analysis supporting a variety of audit activities.
                                                                    • +
                                                                    • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.
                                                                    -

                                                                    Benefits

                                                                    +

                                                                    +

                                                                    Who you are

                                                                    • -Influence and Impact in AI: Play a pivotal role in an emerging startup in the Generative AI domain.
                                                                    • +A degree (preferably at the graduate level) in Management Science, Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background.
                                                                    • -Career Growth: Expansive career development opportunities in a rapidly expanding company.
                                                                    • +5+ years of experience and advanced practical and theoretical knowledge in data analytics, quantitative modeling, BI or statistical analysis
                                                                    • -Competitive Compensation: We offer a competitive salary and benefits package.
                                                                      • -Comprehensive Health Benefits: Receive an extended health plan, covering vision, dental, and prescriptions.
                                                                      -
                                                                    • +Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.
                                                                    • -Holidays and Time off (Ontario-based employees):
                                                                        -
                                                                      • 3 weeks (15 days) vacation
                                                                      • -
                                                                      • 3 floating holidays
                                                                      • -
                                                                      • Annual company holiday between Christmas and New Year (inclusive of Christmas Day, Boxing Day, and New Year's Day)
                                                                      • -
                                                                      • Observance of all Ontario statutory holidays (7 days in total)
                                                                      • -
                                                                      • Paid sick leave of 3 days
                                                                      • -
                                                                      -
                                                                    • +Great communication skills, verbal and written as well as a great storyteller who can visually bring to life what data and analytics is showing us.
                                                                    • -Remote Work Support: We cover necessary costs for a seamless remote work experience, including equipment and internet connectivity.
                                                                    • +Strong organization, leadership, and team-oriented skills. Demonstrated ability to collaborate as well as lead across a matrix organization to execute on priorities, influence change and deliver results. +
                                                                    • +Comprehensive knowledge of data analysis tools, languages, and methodologies. (SAS, Tableau, Python, Oracle RDBMS, Azure, Cloud Computing), knowledge of CIBC data sources, applications and system platforms is a benefit.
                                                                    -

                                                                    How to Apply

                                                                    -

                                                                    At ChainML, we celebrate diversity and are committed to creating an inclusive environment for all employees. If you’re excited about shaping the future of AI and engaging diverse audiences on this important and evolving topic, we'd love to hear from you. Submit your resume through this portal.

                                                                    +

                                                                    +

                                                                    What CIBC offers

                                                                    +

                                                                    +

                                                                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                      - +
                                                                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                                    • +
                                                                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                                    • +
                                                                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                                    -

                                                                    You can find ChainML on Twitter, Discord, Github, LinkedIn, and our website. #JobCouncil #CouncilAI

                                                                    ",,https://ats.rippling.com/chainml/jobs/7d2c9517-4911-4992-8051-42ac4e9184c8/apply?step=application,info@chainml.net,https://www.chainml.net,,,2023-10-14T16:10:00.000Z,False,0,5,55,https://talenthub.vectorinstitute.ai/jobs/269308176-marketing-specialist-ai-at-chainml,,expired,2023-09-12T16:52:00.000Z,employer-repost,Startup (1-19),Application Click Through,"Technology (Information and Media), Technology (Product Development)",Mid-Senior Level,Bachelors Degree,New Posting, -8fef5f7c-3623-407d-b6e0-b9bf150aa383,277326466,TELUS,Technology Architect - Responsible AI,on_site,"Ontario, Canada",2023-10-06T12:30:01.802Z,"
                                                                    -
                                                                    -

                                                                    -
                                                                    +

                                                                    +

                                                                    What you need to know

                                                                    +
                                                                      +
                                                                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                    • +
                                                                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                    • +
                                                                    +

                                                                    +

                                                                    +

                                                                    +

                                                                    +

                                                                    +

                                                                    Job Location

                                                                    Toronto-81 Bay, 26th Floor

                                                                    Employment Type

                                                                    Regular

                                                                    +

                                                                    Weekly Hours

                                                                    37.5

                                                                    Skills

                                                                    +

                                                                    Advanced Analytics, Business Analysis, Data Analysis, Data Analysis Tools, Financial Services, Statistics, Visual Analytics
                                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Advanced-Analytics_2243017?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-01-12T22:02:00.000Z,False,0,3,3,https://talenthub.vectorinstitute.ai/jobs/179957093-senior-consultant-advanced-analytics-at-cibc,,expired,2022-12-22T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +13e684ec-bdb1-423c-9d71-ad91969db2b4,179960718,Sun Life Financial,"Data Analyst, Rewards & Recognition",on_site,"Ontario, Canada",2022-12-22T17:41:05.025Z,"
                                                                    +

                                                                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                    +

                                                                    +

                                                                    +

                                                                    Job Description:

                                                                    +

                                                                    +

                                                                    The Data Analyst, Recognition provides data analytics support for multiple annual recognition programs and campaigns available to approximately 1,800 Sun Life Advisors.

                                                                    +

                                                                    +

                                                                    Preferred skills

                                                                    +

                                                                    · Minimum 3 years\' experience in data analytics and business intelligence, including predictive analytics and data modeling.

                                                                    +

                                                                    · Degree in business administration, finance, economics, computer science, statistics, mathematics, engineering, or equivalent is required.

                                                                    +

                                                                    · Experience building and maintaining Excel Macros and VBA programs.

                                                                    +

                                                                    · Experience using data analysis tools such as Microsoft SQL server or similar.

                                                                    +

                                                                    +

                                                                    Qualifications

                                                                    +

                                                                    · Expert knowledge in the Microsoft suite of products (Excel, Word etc.) with proven experience with VBA, as well as advanced Excel functions

                                                                    +

                                                                    · Highly motivated individual who can execute independently with minimal direction

                                                                    +

                                                                    · Proficient in data investigation and compilation with multiple data sources

                                                                    +

                                                                    · Technical aptitude: ability to learn new tools and software quickly and understand technical concepts

                                                                    +

                                                                    · Strong analysis, investigative and problem-solving skills

                                                                    +

                                                                    · Innovative thinker; able to identify and champion proposals for approval

                                                                    +

                                                                    · Builds context by pushing beyond ""how things are done"" to understand ""why"" and uncover the underlying principles shaping the business

                                                                    +

                                                                    · Ability to extract, manipulate and simplify data through a variety of tools and techniques

                                                                    +

                                                                    · Process improvement skills with a demonstrated ability to produce meaningful results from data

                                                                    +

                                                                    · Strong communication and interpersonal skills; ability to explain business concepts to IT partners, and technical concepts to business partners

                                                                    +

                                                                    · Attention to detail and in-depth planning, organizational and time management skills

                                                                    +

                                                                    · Positive attitude to thrive in a dynamic, fast-paced environment, and quickly find alternative solutions to challenges

                                                                    +

                                                                    · Flexibility: Ability to accept change, and adapt well to ambiguous situations

                                                                    +

                                                                    +

                                                                    Responsibilities

                                                                    +

                                                                    · Lead incentive program modelling efforts by extracting data, analyzing, and drafting insights from previous programs; present proposals for future programs to the Recognition team and senior leadership for approval.

                                                                    +

                                                                    · Generate reports, develop, and maintain databases by acquiring data from various sources, build scripts that will make data evaluation process more flexible or scalable across data sets.

                                                                    +

                                                                    · Analyze and model data to showcase rich interactive visualizations to extract insights, to drive for strategic business decisions to drive performance.

                                                                    +

                                                                    · Adjust Excel VBA macros to include new requirements for annual programs, quarterly campaigns, and ad hoc incentives; ensuring data quality and timely delivery of the report.

                                                                    +

                                                                    · Work with the internal programming team to implement and test changes to automate Recognition program reporting.

                                                                    +

                                                                    · Support data and insights requests after each incentive program period to deliver the performance analysis and present them to the team and leadership.

                                                                    +

                                                                    · Support data warehousing in identifying and revising reporting requirements.

                                                                    +

                                                                    · Support ad hoc data and performance requests from leadership.

                                                                    +

                                                                    · Complete monthly, quarterly, annual program status reporting.

                                                                    +

                                                                    · Attend regular Recognition team meetings and provide data and insights in these meetings as required.

                                                                    +

                                                                    · Build new reports in Excel or Tableau as required to support the continuous improvement efforts of Recognition team.

                                                                    +

                                                                    · Ensure that business and technical requirements are captured in proper documentation and maintained.

                                                                    +

                                                                    +

                                                                    +

                                                                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                    +

                                                                    +

                                                                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                    +

                                                                    +

                                                                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                    +

                                                                    +

                                                                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                    +

                                                                    +

                                                                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                    +

                                                                    +

                                                                    Salary Range:

                                                                    51,100/51 100 - 82,800/82 800

                                                                    +

                                                                    Job Category:

                                                                    Advanced Analytics

                                                                    +

                                                                    Posting End Date:

                                                                    12/01/2023
                                                                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Data-Analyst--Rewards---Recognition_JR00073333?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:01:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/179960718-data-analyst-rewards-recognition-at-sun-life-financial,,expired,2022-12-22T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +89326799-6779-4652-a22b-25a78e534a21,181084210,Scotiabank,"Manager, Data Strategy - CID&A",on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.974Z,"

                                                                    -

                                                                    Join our team and what we’ll accomplish together

                                                                    -

                                                                    The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Technology Architect, Responsible AI, reporting to the Director of Data Ethics, you will work with a cross-functional group focused on enabling a framework for responsible use of artificial intelligence (Ai) and guide the development of AI, data-driven products and services in accordance with ethical principles.

                                                                    -

                                                                    You will be a champion for responsible AI across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to responsible AI will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data. This will help our business to implement AI solutions that not only perform well, but also operate ethically and responsibly, benefiting society as a whole.

                                                                    +

                                                                    Requisition ID: 169773

                                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                    -

                                                                    What you’ll do

                                                                    +

                                                                    Purpose

                                                                    -
                                                                      -
                                                                    • Collaborating with cross-functional teams to develop and implement AI solutions in accordance with the TELUS’ Trust Model and data ethics framework
                                                                    • -
                                                                    • Advising on how responsible AI can serve as an enabler for business program operations and assist with the deployment of responsible AI across the organization
                                                                    • -
                                                                    • Developing and implementing testing and validation protocols to ensure AI systems are working as intended
                                                                    • -
                                                                    • Conducting research and staying up-to-date with the latest developments in AI ethics and responsible AI practices
                                                                    • -
                                                                    • Supporting the development of a TELUS’ framework for responsible AI in line with emerging leading practices
                                                                    • -
                                                                    • Integrating responsible AI into processes to support agile development methodology
                                                                    • -
                                                                    • Educating and advising business units on existing or new techniques, and providing innovative strategies and creative solutions to implement responsible AI
                                                                    • -
                                                                    • Participating in industry-wide efforts to advance responsible AI practices and standards
                                                                    • -
                                                                    +

                                                                    The Data Engineer, Strategic Project will be accountable for delivery of data analytics and business intelligence in support of strategic initiatives that go across different functions within Canadian Banking including Canadian Banking Analytics, Products, Market Research, Marketing, Customer Growth. Using analytics tools such as Python, SAS and Power BI, this role will access a wide range of sophisticated complex data sources to uncover insights in support of business initiatives and inquiries. The incumbent will work collaboratively with Data Enablement team to implement final data in the production for sharing with a wide audience.

                                                                    -
                                                                    -
                                                                    -
                                                                    -

                                                                    -
                                                                    +

                                                                    Accountabilities

                                                                    -

                                                                    What you bring

                                                                    +

                                                                    Accountability 1 – Data Analytics and Visualization

                                                                    +


                                                                    • Use a variety of Business Intelligence analytical and reporting tools (eg. SAS, SQL, Python, Power BI) to access Enterprise Data Warehouse (EDW), Data Lake (EDL) and other platforms to perform complex analysis and reporting, including interactive dashboards, scorecard, regular reports, and ad-hoc requests as required.
                                                                    • Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
                                                                    • Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
                                                                    • Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
                                                                    • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.

                                                                    -
                                                                      -
                                                                    • Demonstrated track record of providing subject matter expertise embedding responsible AI into product and services while delivering on measurable outcomes in a highly complex stakeholder environment
                                                                    • -
                                                                    • Demonstrated working knowledge or understanding of responsible AI fundamentals (e.g. differential privacy, federated learning, adversarial testing, etc.) and machine learning pipelines
                                                                    • -
                                                                    • Familiarity with statistics, algorithms, and machine learning tools to analyze and evaluate fair and ethical AI, including generative AI
                                                                    • -
                                                                    • Passionate about responsible AI and the imperative to use data to solve big and small problems
                                                                    • -
                                                                    • Keen to explore new and creative solutions to change the trajectory of persistent challenges and motivated to bring those solutions to life
                                                                    • -
                                                                    • Appreciated for your excellent interpersonal and problem solving skills, and your ability to distill complex and/or ambiguous problems into clear, actionable requirements
                                                                    • -
                                                                    • Known for your ability to influence and negotiate effectively, to be a persuasive advocate, and known for your conflict resolution skills with a focus on win-win solutions
                                                                    • -
                                                                    • Sought out for excellent communication skills, verbal & written, with the ability to present information at all levels of the organization and leadership forums
                                                                    • -
                                                                    • 3-5 years experience in responsible AI
                                                                    • -
                                                                    • Post-secondary degree in computer science, computer engineering, information systems, ethics, or related field of study
                                                                    • -
                                                                    +

                                                                    Accountability 2 – Processes Improvement

                                                                    +


                                                                    • Support migration of SAS based data processing workflows to Apache Spark & Python.
                                                                    • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
                                                                    • Build re-usable managed datasets for CBA stakeholders.
                                                                    • Document existing processes and workflows, and look for opportunities to optimize and automate work stream
                                                                    • Coach, assist and share knowledge and expertise to new and existing team members with varying degrees of technical and data expertise
                                                                    • Learn new tools and technology to meet evolving business needs.

                                                                    -

                                                                    Great-to-haves

                                                                    +

                                                                    Accountability 3 – Business Impact

                                                                    +


                                                                    • Act as project owner in requirements gathering, program development and process automation to ensure high quality delivery.
                                                                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                    • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation and end-user self-help solutions
                                                                    • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                                                    • Understand the Bank’s risk appetite and AML/ATF practices in day-to-day activities and decisions.
                                                                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                                                                    +


                                                                    Requirements & Qualifications

                                                                    -
                                                                      -
                                                                    • Experience with the development, design, and architecture of IT technology, data management, and data integration processes
                                                                    • -
                                                                    • Experience with design for software applications running on multiple platforms
                                                                    • -
                                                                    • Experience with web architecture and the privacy and security model of the web
                                                                    • -
                                                                    • Bilingual in French & English, verbal and/or written
                                                                    • -
                                                                    • Certification in Privacy (e.g., CDPSE, CIPT, CIPM, CIPP certification)
                                                                    • -
                                                                    +

                                                                    • Bachelor's Degree in Computer Science, Engineering, Math, Statistics, or another quantitative field.
                                                                    • 4+ years of experience in advanced analytics or data scientist role
                                                                    • Must be proficient with Python (3+ years), PySpark, Spark, SAS, SQL, Power BI, Excel and MS Office
                                                                    • Experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and data processing within the EDL for ‘big data’ data pipelines, architectures & data sets
                                                                    • Experience with HDFS/Hive, MiniO/Presto/Trino, Airflow, Docker, Git would be an asset
                                                                    • Experience with Google Cloud Platform (Google Cloud) would be an asset
                                                                    • Excellent analytical and problem-solving skills. Must be able to interpret and consolidate large amount of information in actionable recommendations
                                                                    • Must be flexible to adapt to a dynamic environment and make quick and sound decisions under pressure
                                                                    • Must be reliable, pro-active, results-oriented, customer-focused, and attentive to details
                                                                    • Must possess excellent time management and organizational skills
                                                                    • Strong communication skills and relationship building skills with internal partners
                                                                    • Strong prioritizing, planning, analytical, requirement gathering and presentation skills
                                                                    • Open to learn new tools and explore new ways of analyzing data and business performance

                                                                    -

                                                                    Location: Any major Canadian city

                                                                    -

                                                                    DTOJOBS2023

                                                                    +

                                                                    Good to have Qualifications:

                                                                    +


                                                                    • 2+ years’ experience of banking and financial services products, covering all business lines (day-to-day, borrowing, investing, insurance, wealth management, and small business)

                                                                    +

                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084210-manager-data-strategy-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +5603e2c1-a512-4185-a206-01feaa7ef695,175021835,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-12-08T17:24:02.501Z,"
                                                                    +

                                                                    Company Overview

                                                                    +
                                                                    +

                                                                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                    +

                                                                    Why TD?

                                                                    +

                                                                    TD’s Colleague Promise: A better you. A better us.

                                                                    +

                                                                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                    -
                                                                    -
                                                                    ",,https://careers.telus.com/job/Toronto-Technology-Architect-Responsible-AI-ON/573632817/,feed-importer@jobboard.io,,,,2023-10-24T01:55:00.000Z,False,0,1,37,https://talenthub.vectorinstitute.ai/jobs/277326466-technology-architect-responsible-ai-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -769dee02-292a-4cfc-b902-d14b4082fcb0,281692317,RBC,"Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)",on_site,"Toronto, ON, Canada",2023-10-19T12:21:01.798Z,"
                                                                    -

                                                                    Come Work with Us!

                                                                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                    -

                                                                    Job Title

                                                                    Senior Analyst, Strategic Analytics, RBCx Ventures (Mydoh)

                                                                    -

                                                                    -

                                                                    Job Description

                                                                    -

                                                                    What is the opportunity?

                                                                    -

                                                                    In the role of Senior Analyst, Strategic Analytics, you will be responsible for evolving Mydoh\'s data landscape; and developing business performance dashboards and assisting in developing strategies to identify opportunities solutions to support growth and transformation.

                                                                    -

                                                                    What will you do?

                                                                    +

                                                                    Department Overview

                                                                    +
                                                                    +

                                                                    Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                                                    will work with experienced colleagues, receive world class training, and be part of a community of students across
                                                                    TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                    +

                                                                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                                                    understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                                                    program is designed to complement your on-the job experience and features:

                                                                      -
                                                                    • Establish credibility by quickly acquiring and demonstrating subject matter expertise and deep knowledge in Mydoh

                                                                    • -
                                                                    • Drive future state reporting and Advanced Analytics to enable a fact base strategy utilizing internal and external data and insight

                                                                    • -
                                                                    • Drive insight from Mydoh data and competitive landscape in terms of what the data is telling up and what we need to do accordingly

                                                                    • -
                                                                    • Evolve Mydoh data landscape by implementing core data capabilities to enable private banking growth strategy leveraging modern data architecture and technologies

                                                                    • +
                                                                    • Leadership talks with key Leaders from across the organization
                                                                    • +
                                                                    • Lunch and Learns on topics such as Innovation
                                                                    • +
                                                                    • Diversity and Inclusion and Personal Branding and so much more
                                                                    +

                                                                    -

                                                                    What do you need to succeed?

                                                                    -

                                                                    Must-have

                                                                    +

                                                                    Job Description

                                                                    +
                                                                    +

                                                                    You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                                                    on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                                                    vary by area. They may include, but are not limited to the following:

                                                                      -
                                                                    • 2+ years of relevant experience in an analytical function

                                                                    • -
                                                                    • Nimble with SQL for querying and joining large datasets and/or creating reports

                                                                    • -
                                                                    • Experience communicating analytics results back to business partners and/or C-level: handling objections, proven experience on influencing driving data-driven strategy is a big plus.

                                                                    • -
                                                                    • Demonstrates innate curiosity and an ability to develop innovative solutions

                                                                    • -
                                                                    • An eager listener and a team player who is comfortable forming cross functional relationships with our partners, has proven experience of forming and managing these relationships, and is passionate about developing peers, winning as a team, and providing constructive feedback where and when needed

                                                                    • +
                                                                    • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                                                    • +
                                                                    • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                                                    • +
                                                                    • Design, develop and deploy system enhancements
                                                                    • +
                                                                    • Perform Unit and System Integration tests
                                                                    • +
                                                                    • Document system deployment plans for system implementation and code deployment
                                                                    • +
                                                                    • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                                                    • +
                                                                    • Provide recommendations with full usability analysis
                                                                    • +
                                                                    • Perform root-cause analysis and resolution of application defects
                                                                    • +
                                                                    • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                                                    • +
                                                                    • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                    +

                                                                    -

                                                                    Nice-to-have

                                                                    -
                                                                      -
                                                                    • Experience publishing reports/dashboards, and visualizations with Tableau is a big plus.

                                                                    • -
                                                                    • University degree in a quantitative field of study (e.g., statistics, economics, business analytics)

                                                                    • +

                                                                      Requirements

                                                                      +
                                                                        +
                                                                      • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information
                                                                      • +
                                                                      • Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                      • +
                                                                      • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                                                      • +
                                                                      • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                                                      • +
                                                                      • Test Data Tools Knowledge (CA TDM or Delphix)
                                                                      • +
                                                                      • Familiarity with source code management such as GIT
                                                                      • +
                                                                      • Familiarity with Jira and Confluence
                                                                      • +
                                                                      • A thirst for constantly exploring emerging technology
                                                                      • +
                                                                      • Skills that would be an asset, but not required
                                                                          +
                                                                        • Familiarity with RDBMS, Big data
                                                                        • +
                                                                        • Familiarity with Data Warehousing, ETL, ELT concepts
                                                                        • +
                                                                        • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                                                        • +
                                                                        • Interest or aptitude in Financial Systems and the Financial Industry
                                                                        • +
                                                                        • Familiarity with Cloud technology (Azure, AWS, GCP)
                                                                        +
                                                                      • +

                                                                      -

                                                                      What’s in it for you?

                                                                      -

                                                                      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                      +

                                                                      Additional Information

                                                                      +
                                                                      +

                                                                      Please note that this is a general posting. If you are selected for an interview, more information regarding
                                                                      which business group and the specific job duties will be provided.

                                                                      +

                                                                      Early Talent Requirements

                                                                        -
                                                                      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                      • -
                                                                      • Leaders who support your development through coaching and managing opportunities

                                                                      • -
                                                                      • Ability to make a difference and lasting impact

                                                                      • -
                                                                      • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                      • -
                                                                      • Opportunities to do challenging work

                                                                      • +
                                                                      • This position is a 4-month work term and will commence May 1 – August 25th, 2023.
                                                                      • +
                                                                      • Applications must include a resume (maximum of 2 pages). We welcome all applications; however, we will only contact qualified candidates chosen for an interview..
                                                                      • +
                                                                      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                      +

                                                                      Assigned Line of Business Requirements
                                                                      Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                      +

                                                                      #P&TCo-op

                                                                      +

                                                                      -

                                                                      RBCX

                                                                      -

                                                                      VSANALYTICS

                                                                      -

                                                                      #LI-POST

                                                                      +

                                                                      Hours

                                                                      +
                                                                      37.5

                                                                      -

                                                                      -

                                                                      -

                                                                      Job Summary

                                                                      -

                                                                      Address:

                                                                      20 KING ST W:TORONTO

                                                                      City:

                                                                      CAN-ON-TORONTO

                                                                      Country:

                                                                      Canada

                                                                      Work hours/week:

                                                                      37.5

                                                                      Employment Type:

                                                                      Full time

                                                                      Platform:

                                                                      Personal and Commercial Banking

                                                                      Job Type:

                                                                      Regular

                                                                      Pay Type:

                                                                      Salaried

                                                                      Posted Date:

                                                                      2023-07-26

                                                                      Application Deadline:

                                                                      2023-10-23
                                                                      -

                                                                      Inclusion and Equal Opportunity Employment

                                                                      -

                                                                      At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                      ​​​​​​​
                                                                      We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                      -
                                                                      -

                                                                      Join our Talent Community

                                                                      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                      Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                      -
                                                                    ",,https://jobs.rbc.com/ca/en/job/R-0000064494/Senior-Analyst-Strategic-Analytics-RBCx-Ventures-Mydoh,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-24T01:55:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/281692317-senior-analyst-strategic-analytics-rbcx-ventures-mydoh-at-rbc,,expired,2023-10-19T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -18a1473d-c034-41be-96d3-133441149d18,279168708,RBC,"Director, AML Analytics",on_site,"Toronto, ON, Canada",2023-10-12T12:21:01.797Z,"
                                                                    -

                                                                    Come Work with Us!

                                                                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                    -

                                                                    Job Title

                                                                    Director, AML Analytics

                                                                    -

                                                                    -

                                                                    Job Description

                                                                    -

                                                                    What is the opportunity?

                                                                    -

                                                                    As the Director, AML Analytics you are responsible for developing and maintaining sophisticated anti-money laundering (AML) models to detect and prevent financial crimes within our organization. This is transformational role that arises from two emerging trends in anti-financial crime programs: the propagation of data / analytics capabilities used to detect financial crime and the need to identify increasingly complex-organized money laundering operations. The Director, AML Analytics will work with AML Insight and Analytics, the AML Transformation Office and the AML Financial Intelligence Unit to build and deliver leading edge analytic detection and investigative capabilities.

                                                                    +

                                                                    Start Date

                                                                    +
                                                                    – Summer

                                                                    -

                                                                    What will you do?

                                                                    -
                                                                      -
                                                                    • Develop and maintain anti-money laundering (AML) models to detect financial crimes.
                                                                    • -
                                                                    • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
                                                                    • -
                                                                    • Apply sophisticated modelling techniques, including graph and machine learning analytics, to develop and implement components of the AML Investigator of the Future platform.
                                                                    • -
                                                                    • Establish a development roadmap for network risk scoring (batch and dynamic) by defining the prevalent features that will be integrated into the monitoring program and used in the course of an investigation.
                                                                    • -
                                                                    • Conduct data exploration and cleansing to ensure high-quality data for model development and validation.
                                                                    • -
                                                                    • Identify opportunities to streamline or automate processes to promote efficient and effective use of resources.
                                                                    • -
                                                                    • Implement and optimize scoring algorithms, decision trees, rule-based systems, and anomaly detection techniques.
                                                                    • -
                                                                    • Monitor model performance, identify issues, and propose solutions for continuous improvement and accuracy.
                                                                    • -
                                                                    • Conduct thorough testing and documentation of developed models, adhering to regulatory compliance standards.
                                                                    • -
                                                                    • Stay up to date with industry best practices, emerging trends, and regulatory changes in AML and predicate offense detection.
                                                                    • -
                                                                    • Collaborate with Compliance and Risk teams to address AML-related issues and provide technical expertise.
                                                                    • -
                                                                    • Participate in model validation exercises, including stakeholder engagement, analysis, and reporting.
                                                                    • -
                                                                    +

                                                                    Inclusiveness

                                                                    +

                                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                    -

                                                                    What do you need to succeed?

                                                                    +
                                                                    ",,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-11T21:10:04.643Z,False,0,15,45,https://talenthub.vectorinstitute.ai/jobs/175021835-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,expired,2022-12-08T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +056b8f47-7896-4bcd-9030-a9ad1999cbea,175047220,CN,Expert Data Engineering,on_site,"Ontario, Canada",2022-12-08T17:42:02.007Z,"

                                                                    -

                                                                    Must-have

                                                                    -
                                                                      -
                                                                    • Experience with AML or fraud modeling and investigation environments that utilize detection / predictive models

                                                                    • -
                                                                    • Programming experience ideally using an object oriented programing language such as Java, Scala (ideally), R or Python.

                                                                    • -
                                                                    • Minimum of 5 years of experience leading a data science or analytics team

                                                                    • -
                                                                    • Agile development methodology

                                                                    • -
                                                                    • Statistical approaches and methods and their application on projects

                                                                    • -
                                                                    • Post-secondary education or equivalent.

                                                                    • -
                                                                    +

                                                                    At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                    +
                                                                    +

                                                                    Job Summary

                                                                    +

                                                                    The Expert Data Engineering is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Data Engineering develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                    -

                                                                    Nice-to-have

                                                                    -
                                                                      -
                                                                    • Graduate degree (MBA or relevant subject matter area)

                                                                    • -
                                                                    • Data mapping, meaning of relational data and object orientation.

                                                                    • -
                                                                    • Understands projects needs and can translate into detection models and capabilities.

                                                                    • -
                                                                    • Model documentation, ideally AML model governance

                                                                    • -
                                                                    +

                                                                    Main Responsibilities

                                                                    Data Engineering

                                                                    -

                                                                    What’s in it for you?

                                                                    -

                                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                    -
                                                                      -
                                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

                                                                    • -
                                                                    • Leaders who support your development through coaching and managing opportunities

                                                                    • -
                                                                    • Ability to make a difference and lasting impact

                                                                    • -
                                                                    • Flexible work/life balance options

                                                                    • -
                                                                    • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                    • -
                                                                    • Opportunities to do challenging work

                                                                    • -
                                                                    -

                                                                    -

                                                                    -

                                                                    Job Summary

                                                                    -

                                                                    Address:

                                                                    20 KING ST W:TORONTO

                                                                    City:

                                                                    CAN-ON-TORONTO

                                                                    Country:

                                                                    Canada

                                                                    Work hours/week:

                                                                    37.5

                                                                    Employment Type:

                                                                    Full time

                                                                    Platform:

                                                                    Group Risk Management

                                                                    Job Type:

                                                                    Regular

                                                                    Pay Type:

                                                                    Salaried

                                                                    Posted Date:

                                                                    2023-10-11

                                                                    Application Deadline:

                                                                    2023-10-26
                                                                    -

                                                                    Inclusion and Equal Opportunity Employment

                                                                    -

                                                                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                    ​​​​​​​
                                                                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                    -
                                                                    -

                                                                    Join our Talent Community

                                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                    -
                                                                    ",,https://jobs.rbc.com/ca/en/job/R-0000069614/Director-AML-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-26T20:28:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/279168708-director-aml-analytics-at-rbc,,expired,2023-10-12T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -0a49c277-6f79-4216-b979-53828313475f,263354232,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-08-24T16:23:02.751Z,"
                                                                    -

                                                                    Hours

                                                                    -
                                                                    37.5
                                                                    +

                                                                    · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                    +

                                                                    · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                    +

                                                                    · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                    +

                                                                    · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                    +

                                                                    · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                    +

                                                                    · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                    +

                                                                    · Integrate analytics and data science results with business processes

                                                                    +

                                                                    · Promote effective data management practices

                                                                    -

                                                                    Workplace Model

                                                                    -
                                                                    Hybrid
                                                                    +

                                                                    Data Design

                                                                    -

                                                                    Pay Details

                                                                    -

                                                                    We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                    +

                                                                    · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                    +

                                                                    · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                    +

                                                                    · Design and develop processing pipelines that ingest data into Data Hubs

                                                                    +

                                                                    · Expose the data into meaningful formats, like GraphQL

                                                                    +

                                                                    · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                    +

                                                                    · Participate in building data engineering expertise and framework

                                                                    +

                                                                    · Translate business needs into technical requirements

                                                                    -

                                                                    Department Overview

                                                                    -
                                                                    -

                                                                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                    -

                                                                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                    -

                                                                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                    -
                                                                    +

                                                                    Data Development

                                                                    -

                                                                    Job Details

                                                                    -
                                                                    -

                                                                    About this Role

                                                                    -

                                                                    You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                                                    -

                                                                    We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                    -

                                                                    As a Data Scientist I, you will be supporting Financial Reporting Control(FRC) Data & Analytics function to deliver:

                                                                    -
                                                                    1.CCOA and Attestation Dashboard Maintenance and Development
                                                                    -
                                                                    §Quality checks, data integration and refresh of various reports used for policy governance.
                                                                    -
                                                                    §Undertake additional analysis related to exceptions and trends – produce governance and exception reporting e.g., significant period over period changes, analyze QoQ changes in attestations, etc.
                                                                    -
                                                                    §Create reports for FRC’s oversight and monitoring mandate including business rules & data lineage for various reports, reports for submission to Internal Audit for remediation testing, progress updates for Project Lotus, etc.
                                                                    -
                                                                    §Add and operationalize incremental metrics related to new policy requirements, monitoring and oversight.
                                                                    -
                                                                    2.Operationalization of Chart of Accounts Policy (CCOA Policy)
                                                                    -
                                                                    §Ongoing development and enhancements to key metrics and KPIs to monitor policy compliance
                                                                    -
                                                                    §Assist to remediate gaps identified in chart of accounts governance and end-to-end oversight control
                                                                    -
                                                                    §Support implementation of controls and monitoring for CCoA Policy implementation e.g.,
                                                                    -
                                                                    Tracking of newly opened GL accounts & dimensions, oversight of dynamically open accounts by business segment & source
                                                                    -
                                                                    Tracking of closed, deleted & purged account in various GL systems
                                                                    -
                                                                    Development & operationalization of new oversight metrics
                                                                    -
                                                                    -
                                                                    3.Ongoing daily support (examples below)
                                                                    -
                                                                    §Support FRC in its ongoing oversight mandate for various control & oversight activities as required – example include completeness checks at quarter ends, exceptions reporting, variance root cause analysis etc.
                                                                    -
                                                                    §Defining target audience for training based on mandatory roles and nominations from various teams. Extract details like emails and ACF2’s
                                                                    -
                                                                    §Tracking registrations, attendance and pending to date. Manage module in dashboard on trainings assignments and completeness
                                                                    -
                                                                    §Others ad hoc support examples include
                                                                    -
                                                                    Work with different teams on identifying Transit/Suspense/Cash account
                                                                    -
                                                                    Support ARCs discussions & requirements and reviewing new logic for ARCS data feed
                                                                    -
                                                                    -Support FRC on Business segment breakdown
                                                                    -
                                                                    4.Support Future Ongoing Enhancements
                                                                    -
                                                                    §Re-configure to ARCs : Data engineering and platform update to switch attestation & reconciliation data from current tools (ACATT, Trintech) to ARCs
                                                                    -
                                                                    §Move to Cloud : Migration to Akora on Cloud from Akora on Prem
                                                                    -
                                                                    §Automation :
                                                                    -
                                                                    Efforts to automate parts of data sourcing & ingestion (as feasible)
                                                                    -
                                                                    Enhancing data source to minimize sideloading process (onboard data to Akora)
                                                                    -
                                                                    -
                                                                    +

                                                                    · Acquire, ingest and process data from multiple sources and systems

                                                                    +

                                                                    · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                    +

                                                                    · Conduct metadata management, data cleansing and preparation

                                                                    +

                                                                    · Produce well documented quality codes

                                                                    -

                                                                    Job Requirements

                                                                    -
                                                                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                    -

                                                                    Advanced Big Data Processing

                                                                    -
                                                                    §Advanced coding in data processing tools like Python, PySpark, Databrick.
                                                                    -
                                                                    §Perform activities like data modeling, integrating files, record roll-up & attribution, deriving analytical attributes etc.
                                                                    -
                                                                    -§Link big data platform to BI tools using data connectors

                                                                    -
                                                                    Advanced Tableau
                                                                    -
                                                                    §Developing new views – ability to design & develop complex views & metrics
                                                                    -
                                                                    §Updating existing views – update parameters, refresh data to update existing modules, perform QC, optimize load time
                                                                    -
                                                                    -Business Knowledge

                                                                    -
                                                                    §Good understanding of General Ledgers & Accounting, Governance & Controls and associated data structures
                                                                    -
                                                                    §Familiarity with Attestation & Reconciliation processes & tools
                                                                    -
                                                                    §Knowledge of key terms & KPI’s related to policy, controls, governance and oversight activities & processes
                                                                    -

                                                                    Project Management

                                                                    -
                                                                    §Ability to understand metrics & validate with business partners, conduct Demos to gather feedback
                                                                    -
                                                                    §Maintaining various mapping files and prepare & prioritize backlog for platform enhancements & any fixes
                                                                    -
                                                                    §Documentation Skills like drafting Technical Documentation, Business & System Requirements, PowerPoints
                                                                    -
                                                                    §Perform data QC & completeness checks and undertake root-cause analysis in cause of any discrepancies
                                                                    -
                                                                    -
                                                                    -
                                                                    +

                                                                    Data Operations - 10% +

                                                                    -

                                                                    Company Overview

                                                                    -
                                                                    -Our Values
                                                                    At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                    -

                                                                    Making Your Well-being a Priority
                                                                    A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                    -

                                                                    Our Total Rewards Package
                                                                    Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                    -

                                                                    How We Work
                                                                    At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                    -

                                                                    Who We Are
                                                                    TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                    -
                                                                    +

                                                                    · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                    +

                                                                    · Build monitoring and debugging tools to analyze data pipelines

                                                                    +

                                                                    · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                    +

                                                                    · Improve software quality, automate processes, and accelerate software releases

                                                                    -

                                                                    Inclusiveness

                                                                    -
                                                                    -Our Commitment to Diversity, Equity, and Inclusion
                                                                    At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                    -

                                                                    How We’re Helping Make an Impact in Communities
                                                                    TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                    -

                                                                    Accommodation
                                                                    Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                    -

                                                                    We look forward to hearing from you!

                                                                    -
                                                                    +

                                                                    Data Quality Assurance

                                                                    +

                                                                    +

                                                                    · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                    +

                                                                    · Develop and implement test plans and scripts for various data quality processes

                                                                    +

                                                                    · Maintain manual and automated test scripts

                                                                    +

                                                                    +

                                                                    Working Conditions

                                                                    +

                                                                    +

                                                                    The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                    +

                                                                    +

                                                                    +

                                                                    Requirements

                                                                    Experience

                                                                    +

                                                                    +

                                                                    Data Engineering

                                                                    +

                                                                    · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                    +

                                                                    · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                    +

                                                                    · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                    +

                                                                    · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                    +

                                                                    · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                    +

                                                                    · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                    +

                                                                    · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                    +

                                                                    · Experience with Linux and shell scripting

                                                                    +

                                                                    · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                    +

                                                                    · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                    +

                                                                    · Experience working in an Agile team environment

                                                                    +

                                                                    +

                                                                    Education/Certification/Designation

                                                                    +

                                                                    +

                                                                    · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                    +

                                                                    · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                    +

                                                                    · Professional Engineer (P.Eng.) Degree*

                                                                    +

                                                                    · Google or Azure Data Engineering certification*

                                                                    +

                                                                    *Any designation for these above would be considered as an asset

                                                                    +

                                                                    +

                                                                    Competencies

                                                                    +

                                                                    +

                                                                    · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                    +

                                                                    · Ability to communicate complex solutions

                                                                    +

                                                                    · Applies analytical thinking

                                                                    +

                                                                    · Innovates through problem solving

                                                                    +

                                                                    · Knows the business and stays current with industry trends to elevate expertise and work

                                                                    +

                                                                    · Demonstrates organizational abilities and detail oriented

                                                                    +

                                                                    · Collaborates with key internal stakeholders to enable higher productivity

                                                                    +

                                                                    · Works independently with little supervision

                                                                    +

                                                                    · Applies agile mindset

                                                                    +

                                                                    · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                    +

                                                                    · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                    +

                                                                    +

                                                                    Technical Skills/Knowledge

                                                                    +

                                                                    +

                                                                    · Strong data analytics and development skills

                                                                    +

                                                                    · Demonstrated creativity skills

                                                                    +

                                                                    · Expertise in a combination of Scala, Java or Python

                                                                    +

                                                                    · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                    +

                                                                    · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                    +

                                                                    · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                    +

                                                                    · Expertise with GraphQL*

                                                                    +

                                                                    *Any knowledge for any of the above would be considered as an asset

                                                                    +

                                                                    +
                                                                    +About CN

                                                                    +

                                                                    +

                                                                    CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                    +

                                                                    +

                                                                    -
                                                                    ",,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-28T16:28:02.269Z,False,0,16,50,https://talenthub.vectorinstitute.ai/jobs/263354232-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,expired,2023-08-24T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -ec3b78db-a803-45ce-9eeb-8da98d7b13ee,253577065,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-07-31T16:04:03.083Z,"
                                                                    -
                                                                    -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of like-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. -
                                                                    -

                                                                    -
                                                                    Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                    +

                                                                    +

                                                                    +

                                                                    +

                                                                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                    +
                                                                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-11T21:12:14.349Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/175047220-expert-data-engineering-at-cn,,expired,2022-12-08T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +1da30298-a8ec-4325-a3d5-eee5ebb6e36c,175044350,BenchSci,Technical Lead - ML Engineering - Natural Language Processing (Remote),on_site,"Toronto, Ontario",2022-12-08T17:39:03.314Z,"
                                                                    +
                                                                    We are looking for a Technical Lead - ML Engineering to join our growing R&D team! Reporting to the Engineering Manager, you will run our end-to-end machine learning platform, from research to production ML models. You are well-versed in the nuances of the machine learning lifecycle and have a clear approach to measuring the improvement of our ML systems and their peers' workflows. The technical lead role is a unique expansion of the scope of a Senior ML engineer that takes on multiple facets of technical leadership, team building, and building our technical roadmap. You can expect to collaborate with your ML teammates and folks from MLOps, Data, and Science teams.

                                                                    -
                                                                    BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada.
                                                                    +
                                                                    BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                                    -

                                                                    You will:

                                                                    +

                                                                    You Will:

                                                                        -
                                                                      • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                      • -
                                                                      • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                      • -
                                                                      • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                      • -
                                                                      • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                      • -
                                                                      • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                      • -
                                                                      • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                      • -
                                                                      • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment.
                                                                      • -
                                                                      • Participate and contribute to Agile grooming, planning and estimation.
                                                                      • -
                                                                      • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                      • -
                                                                      • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                      • -
                                                                      • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                      • +
                                                                      • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                      • +
                                                                      • Partner with the Engineering Manager and other Tech Leads to recruit and build the team
                                                                      • +
                                                                      • Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
                                                                      • +
                                                                      • Drive core components of our technical roadmap
                                                                      • +
                                                                      • Facilitate and make technical decisions in forums
                                                                      • +
                                                                      • Help define best practices based on personal industry experience and research across the Machine Learning team
                                                                      • +
                                                                      • Lead sprint planning, estimations, and code + design reviews
                                                                      • +
                                                                      • Oversee the solutions and long-term technology investments to inspire technical creativity at BenchSci
                                                                    -

                                                                    You have:

                                                                    +

                                                                    You Have:

                                                                        -
                                                                      • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                      • -
                                                                      • Strong experience with NLP and LLMs.
                                                                      • -
                                                                      • Strong experience with Python and programming fundamentals.
                                                                      • -
                                                                      • Extensive experience with PyTorch.
                                                                      • -
                                                                      • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                      • -
                                                                      • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                      • -
                                                                      • Experience with data manipulation and processing, such as SQL or pandas. Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                      • -
                                                                      • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                      • -
                                                                      • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty. Strong cross-team communication and collaboration skills.
                                                                      • -
                                                                      • A growth mindset and a constant desire to learn.
                                                                      • +
                                                                      • 4+ years of experience working as a professional developer applying machine learning techniques to solve business problems
                                                                      • +
                                                                      • Experience with Python and programming fundamentals
                                                                      • +
                                                                      • Experience with NLP (ideally including NER) and PyTorch
                                                                      • +
                                                                      • Experience with designing, building, and evaluating scalable production-ready ML models
                                                                      • +
                                                                      • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                      • +
                                                                      • Experience with data manipulation and processing, such as SQL or pandas
                                                                      • +
                                                                      • Experience with building functional, production-level models in the cloud
                                                                      • +
                                                                      • Experience with planning projects
                                                                      • +
                                                                      • A desire to see teammates succeed together
                                                                    -
                                                                    Benefits and Perks:
                                                                    -
                                                                    An engaging remote-first culture
                                                                    -
                                                                    A great compensation package that includes BenchSci equity options
                                                                    -
                                                                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                    -
                                                                    Unlimited flex time for sick days, personal days, religious holidays
                                                                    -
                                                                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                    -
                                                                    A $2000 CAD* Annual Learning & Development budget
                                                                    -
                                                                    A $1000 CAD* home office set-up budget
                                                                    -
                                                                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                    -
                                                                    Generous parental leave benefits with a top-up plan or paid time off options
                                                                    -
                                                                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                    +
                                                                    Benefits and Perks:
                                                                    +
                                                                    An engaging remote-first culture
                                                                    +
                                                                    A great compensation package that includes BenchSci equity options
                                                                    +
                                                                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                    +
                                                                    Unlimited flex time for sick days, personal days, religious holidays
                                                                    +
                                                                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                    +
                                                                    A $2000 CAD* Annual Learning & Development budget
                                                                    +
                                                                    A $1000 CAD* home office set-up budget
                                                                    +
                                                                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                    +
                                                                    Generous parental leave benefits with a top-up plan or paid time off options
                                                                    +
                                                                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future. +

                                                                    -
                                                                    About BenchSci:
                                                                    -
                                                                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                    -
                                                                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                    +
                                                                    About BenchSci:
                                                                    +
                                                                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                    +
                                                                    Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

                                                                    -
                                                                    Our Culture:
                                                                    -
                                                                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                    -
                                                                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                    -
                                                                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                    +
                                                                    Our Culture:
                                                                    +
                                                                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                    +
                                                                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                    +
                                                                    +You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture. +

                                                                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                    +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. +

                                                                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                    +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com. +

                                                                    -
                                                                    #LI-Remote
                                                                    -
                                                                    ",,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-30T17:37:58.206Z,False,0,10,79,https://talenthub.vectorinstitute.ai/jobs/253577065-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5,expired,2023-07-31T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-11-15T17:42:01.840Z,"
                                                                    -
                                                                    -

                                                                    Description

                                                                    -
                                                                    -


                                                                    -

                                                                    Join our team and what we\'ll accomplish together

                                                                    -


                                                                    We are looking for an enthusiastic Lead Data Engineer who can help us bring focus, flow, and joy to all developers at TELUS as part of our Platform Engineering team.

                                                                    We believe that a strong data science competency is required at TELUS for our business to be successful, and that happy humans build fantastic software. And so our calling is to improve developer focus, flow, and joy at TELUS. This means implementing changes to our systems and processes to make developer platform insights into reality.

                                                                    -

                                                                    What you will do

                                                                    -
                                                                      -
                                                                    • Lead a team of data engineers, data analysts and developers on our journey to strengthen the developer experience through all data ingested, secured, managed, processed and analyzed on our metrics platform
                                                                    • -
                                                                    • -Lead initiatives that will improve focus, flow, and joy for software developers across the organization
                                                                    • -
                                                                    • Work with equally smart, grounded and collaborative individuals, as well as down-to-earth leaders who get stuff done and deliver measurable results
                                                                    • -
                                                                    • Lead challenging and interesting problems, and strive to do the right thing, the right way and continuously improve via KPIs
                                                                    • -
                                                                    • Innovate every day and have the freedom to contribute your ideas
                                                                    • -
                                                                    • Drive the development of data analytics strategy by developing and enhancing data democratization principles
                                                                    • -
                                                                    • Present our users with relevant, actionable and timely data to improve on software development KPIs such as stability, velocity and availability
                                                                    • -
                                                                    -

                                                                    -

                                                                    The platform engineering team is delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data,

                                                                    -

                                                                    -

                                                                    We are entrepreneurial and passionate, we believe that anything is possible and can be achieved by innovative and meaningful outcomes for our customers, team members and that through meaningful and impactful endeavors we can integrate dynamic change in our professional lives.

                                                                    -

                                                                    -

                                                                    We intend to shape the future of how machine learning, data processing and analysis can drive TELUS through insights that solve releasing software to production on-demand.

                                                                    -

                                                                    -

                                                                    Help architect the future of our enterprise data solutions and leverage the best of Google Cloud’s data management, analysis and machine learning capabilities and drive forward our data strategy.

                                                                    -

                                                                    -
                                                                    -
                                                                    -
                                                                    -

                                                                    Here’s how

                                                                    -
                                                                    -

                                                                    -
                                                                      -
                                                                    • Overseeing the team that builds and iterates data pipelines to process data either where it lives, or across boundaries into a single system.
                                                                    • -
                                                                    • Analyze datasets, build data relationships and models to generate reports, meaningful insights and machine learning automation to support the business
                                                                    • -
                                                                    • Build a cohesive data platform that extends between the cloud and our data centers which can ingest, transform and process data.
                                                                    • -
                                                                    • Support operational efficiencies across our people, software engineering processes, management and our technical programs by leveraging data retrieved from our systems and tools.
                                                                    • -
                                                                    • Lead the team supporting the data pipelines feeding into our machine learning algorithms and models. Explore the latest tools and API’s that can help optimize our Machine Learning operations.
                                                                    • -
                                                                    • Lead the team to assist the extracting, loading, transforming, cleaning, and validating of data from both inside and outside of Telus.
                                                                    • -
                                                                    -
                                                                    -
                                                                    -
                                                                    -

                                                                    Qualifications

                                                                    -
                                                                    -


                                                                    -

                                                                    What you bring

                                                                    -

                                                                    -
                                                                      -
                                                                    • -You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                                                                    • -
                                                                    • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning
                                                                    • -
                                                                    • Realize the vision of Data Democratization for software delivery metrics. Educate our customers on how to work with data to improve and reap the rewards
                                                                    • -
                                                                    • AI/ML tools expertise
                                                                    • -
                                                                    • GCP Professional Data Engineering certification
                                                                    • -
                                                                    • Google Cloud Dataflow and Google BigQuery experience
                                                                    • -
                                                                    • Orchestration and job scheduling platforms experience
                                                                    • -
                                                                    • Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, DataLooker, Dataprep, Composer, etc)
                                                                    • -
                                                                    • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems
                                                                    • -
                                                                    • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                                    • -
                                                                    • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                                    • -
                                                                    • Communication skills to ensure effective management of relationships, prepare presentations for leadership consumption.
                                                                    • -
                                                                    -
                                                                    -
                                                                    -
                                                                    ",,https://careers.telus.com/job/Burnaby-L5-Software-Development-Brit/565119317/,feed-importer@jobboard.io,,,,2022-12-17T14:19:22.702Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/167456282-lead-data-engineer-at-telus,,expired,2022-11-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Masters Degree,New Posting, -207d16fb-bf0f-4861-9117-f8380293b67b,167802348,KPMG,Senior Consultant - Data Analyst,on_site,"Toronto, Canada",2022-11-16T17:26:02.394Z,"Overview

                                                                    At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                    Our Governance, Risk and Compliance Services (GRCS) team is growing and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

                                                                      -
                                                                    • Learn more about Risk Consulting here
                                                                    • -
                                                                    • Learn more about our Toronto office here
                                                                    • -

                                                                    What you will do

                                                                    As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                      -
                                                                    • Work closely with clients and partners in understanding key business issues on digital opportunities
                                                                    • -
                                                                    • Gather and analyze requirements to develop impactful recommendations and solutions
                                                                    • -
                                                                    • -Utilize advanced analytical techniques to solve challenging business problems to identify areas of risk, opportunities and recommend solutions for our clients. Leverage a diverse set of technologies and tools to deliver insights -
                                                                    • -
                                                                    • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, data management, data governance, reporting, visualization and/or intelligent automation
                                                                    • -
                                                                    • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
                                                                    • -
                                                                    • Work with large volumes of data (structured and unstructured)
                                                                    • -
                                                                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
                                                                    • -
                                                                    • Bridge the gap between technical platform needs and business issues
                                                                    • -
                                                                    • Effectively communicate orally and written with peers within GRCS, KPMG and the client
                                                                    • -

                                                                    What you bring to the role

                                                                    You have strong work experience and academic record and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                      -
                                                                    • Strong experience of 3-5 years, working with different kinds of messy, real-world data from a variety of databases
                                                                    • -
                                                                    • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration, and can achieve personal and professional success while juggling competing priorities and deadlines
                                                                    • -
                                                                    • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
                                                                    • -
                                                                    • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                    • -
                                                                    • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
                                                                    • -
                                                                    • Experience in data governance, data quality, data processing, and data controls
                                                                    • -
                                                                    • Client-facing or consulting experience
                                                                    • -
                                                                    • Experience communicating insights or ideas through presentations and meetings
                                                                    • -
                                                                    • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset
                                                                    • -
                                                                    • Ability to explain data and analytics concepts to non-technical team members.
                                                                    • -
                                                                    • Ability to apply data and analytics concepts to business problems.
                                                                    • -
                                                                    • Ability to understand and explain business value of data and analytics concepts
                                                                    • -
                                                                    • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                    • -
                                                                    • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                    • -
                                                                    • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                    • -
                                                                    • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                    • -

                                                                    Keys to your success:

                                                                    KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                    Providing you with the support you need to be at your best



                                                                    For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                    Our Values, The KPMG Way

                                                                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                    ",,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-12-17T14:35:21.678Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/167802348-senior-consultant-data-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,expired,2022-11-16T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -75b2c4fc-23d8-47dd-9e81-31c42ddc97e5,178100528,Scotiabank,"Senior Manager, Retail Deposit Analytics",on_site,Canada : Ontario : Toronto,2022-12-16T17:22:02.604Z,"

                                                                    -

                                                                    +
                                                                    #LI-Remote
                                                                    +
                                                                    ",,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-01-11T21:13:21.515Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/175044350-technical-lead-ml-engineering-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070,expired,2022-12-08T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +e6b728a8-9052-4bd3-9499-fa2dd10cd093,176655741,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:04.125Z,"

                                                                    -

                                                                    Requisition ID: 169202

                                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                    -

                                                                    Purpose:

                                                                    -


                                                                    The Senior Manager, Retail Deposit Analytics is responsible for leading a team of analytics professionals in conducting analyses and making fact-based recommendations across the Retail Deposits and Day to Day Banking portfolios. The incumbent will deliver strategic and tactical knowledge to facilitate the execution of strategies that will enable profitable growth of Deposit customer base, increase customer engagement and optimize revenue margins for the business. He/She will work with multiple stakeholders and partners within and outside Scotiabank to develop optimal strategies based on excellent analytical, database marketing, people management, communication and relationship management skills.

                                                                    +

                                                                    Requisition ID: 169222

                                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                    -

                                                                    Accountabilities:

                                                                    +

                                                                    Purpose

                                                                    +


                                                                    The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
                                                                    The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

                                                                    -

                                                                    Accountability 1 - Analysis & development support for acquisition and campaign strategies

                                                                    -


                                                                    • Collaborate with Retail Deposit and Day to Day banking team to profitably grow customer base. Proactively provide strategic analysis that will assist the business to optimize new & existing accounts and product mix from various channels. Grow day to day banking customer base within multiple segments of Scotiabank customers and enhance opportunity to acquire non-Scotiabank customers.
                                                                    • Work closely with marketing team to develop analytical and segmentation strategies that enhance Deposit customer engagement initiatives while optimizing budgets as well as margins. Collaborate with Retail Marketing and Customer Decisioning teams to implement and fulfill campaigns while ensuring seamless customer experience.
                                                                    • Lead the data science initiatives to optimize pricing and targeting strategies to drive acquisition & retention of chequing balances. This role works closely with Retail Deposit team, finance, treasury, channel partners to recommend pricing and targeting strategies to grow deposit portfolio.
                                                                    • Evaluate new campaign ideas based on business opportunities and revenue growth; provide initial sizing and develop business case. Provide go/no go recommendation by examining overall P&L impact to the bank.
                                                                    • Collaborate with Campaign Design, Products and Retail Marketing teams to support optimal acquisition and customer migration initiatives driven through centralized campaign execution engine.
                                                                    • Work closely with segmentation/modeling experts within or outside Scotiabank to create new and effective ways of targeting customers in order to maximize efficiency of acquisition campaign strategies.
                                                                    • Continuously acquire and enhance knowledge of business/product strategies, competitive practices, market insights and other policies, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
                                                                    • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants.

                                                                    +


                                                                    The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

                                                                    +


                                                                    • Be the product owner for our Data Ethics & Use tools and technologies
                                                                    • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
                                                                    • Own the data ethics technical strategy and roadmap on an annual basis
                                                                    • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
                                                                    • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
                                                                    • Lead a high-performance team, with focus on coaching and development

                                                                    -

                                                                    Accountability 2 - Measurement & Reporting

                                                                    -


                                                                    • Lead the creation of ongoing measurement of acquisition/engagement campaign strategies relative to the pro-forma/plan. Provide actionable insights and recommendations to business stakeholders on an ongoing basis in order to maximize business results and enable the creation of an ongoing learning loop.
                                                                    • Develop pro-forma for acquisition/engagement campaign initiatives working closely with multiple stakeholders at Scotiabank.
                                                                    • Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams;
                                                                    • Providing analytical support and profit insights on a regular and ad-hoc bases within Retail Canadian Banking with an eye towards driving business growth and profits
                                                                    • Provide business support to all areas of Retail Deposits and Day to Day Banking including Business development, Product, Acquisition and Analytics. Work with Finance for business case development and to report results to Senior Management as well as provide outlook/projection

                                                                    +


                                                                    Key Responsibilities:

                                                                    +


                                                                    • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
                                                                    • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
                                                                    • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
                                                                    • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
                                                                    • Work with various stakeholders in a matrix organization
                                                                    • Manage the SCRUM process and Kanban board for the projects
                                                                    • Create project plans, maintain JIRA board and Confluence, as needed
                                                                    • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
                                                                    • Ensure timely delivery and successful adoption of data ethics tools and processes
                                                                    • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
                                                                    • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
                                                                    • Review, address and incorporate user feedback into our tools and processes, as required
                                                                    • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
                                                                    • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
                                                                    • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
                                                                    • Ensure consistency and alignment on best practices across the organization.
                                                                    • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
                                                                    • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                    • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
                                                                    • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
                                                                    • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
                                                                    • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
                                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                    • Lead a high-performance team-this is a people manager role where development and coaching is a focus
                                                                    • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                                                    -


                                                                    Accountability 3

                                                                    -


                                                                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                    +


                                                                    Functional Competencies:

                                                                    +


                                                                    • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
                                                                    • Strong technical acumen
                                                                    • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
                                                                    • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
                                                                    • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
                                                                    • Able to work in a matrixed organization that has multiple stakeholders
                                                                    • Ability to present ideas and facilitate discussions to build consensus at all levels
                                                                    • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
                                                                    • Results orientation and pragmatic approach to decision-making
                                                                    • Ability to work independently and solve complex problems through a collaborative style
                                                                    • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                    • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
                                                                    • Ability to increase operating efficiency and produce high quality technical solutions
                                                                    • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
                                                                    • Ability to drive success in a high performing, flexible and small team environment

                                                                    -


                                                                    Qualifications

                                                                    -


                                                                    • In-depth analytics experience and solid business acumen are required. Extensive marketing & campaign analytics and decision support experience is strongly preferred along with a comprehensive understanding of portfolio optimization and financial P&L levers.
                                                                    • Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies.
                                                                    • A proven ability to rapidly, effectively and accurately extract and interpret data and transform it into meaningful and actionable business insights.
                                                                    • Exceptional oral and written communication skills, with a demonstrated ability to present and translate highly technical concepts to a wide audience.
                                                                    • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests.
                                                                    • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                    • Proven track record of success in maintaining, leading and motivating a productive team of analytics professionals.
                                                                    • Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors that will contribute to successful growth initiatives.
                                                                    Educational Requirements
                                                                    • Minimum Bachelor's Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
                                                                    • MBA (Finance or Marketing)/CFA/FRM or Master in Analytics - preferred

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T15:26:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/178100528-senior-manager-retail-deposit-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,expired,2022-12-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -5f761f79-e324-409f-bdae-6968d9896e17,176654372,CIBC,"Senior Data Scientist, Advanced Analytics & AI",on_site,"Ontario, Canada",2022-12-12T17:06:04.602Z,"
                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:45:12.090Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/176655741-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, +73fcf20c-8778-4315-8793-ae55371f261b,189559546,CIBC,"Associate, Quantitative Rotational Program",on_site,"Ontario, Canada",2023-01-23T17:06:04.258Z,"

                                                                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                    @@ -51724,52 +51271,68 @@ bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,

                                                                    Job Description

                                                                    -

                                                                    What You’ll Be Doing

                                                                    -

                                                                    The Advanced Analytics & AI team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                                    -

                                                                    You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                    -

                                                                    At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                    -

                                                                    How You’ll Succeed

                                                                    +

                                                                    What You’ll Be Doing

                                                                    +

                                                                    Join our Quantitative Rotational Program as an Associate and make a real difference for our clients. This is a great opportunity to work under the leadership of our quantitative teams within Risk Management and Internal Audit. In the program, you will be provided with the opportunity to gain comprehensive experiences in developing, validating, implementing, managing and auditing various types of quantitative models. You’ll be part of a two-year program that consists of four, six-month rotations through various quantitative departments within CIBC that will provide you with the necessary experience and exposure to become an effective leader.

                                                                    +

                                                                    +

                                                                    During your rotations, you will be part of the Quantitative Risk, Model Quantification and Model Validation within Risk Management, Model Risk teams within our Internal Audit department. Once you have successfully completed the program, you will be assisted in securing a full-time permanent role, preferably in one of the quantitative departments you worked with during your rotations. You will be part of a team that focuses on designing tools and reports to make the analysis process more efficient and streamlined. You’ll have an opportunity to prepare management summaries describing the mathematical analytics of models, validation techniques, test results, and model limitations, including recommendations for further improvements. You’ll perform, analyze and document the calibration and parametrization of the models used, define and monitor controls to ensure the appropriateness of the parameters used along with running back testing for models and analyze the impact of model behavior on risk management measures, as well as the impact of changes in capital from the model performance and how they affect the business.

                                                                    +

                                                                    +

                                                                    As a QRP Associate, you will also have a chance to assist in the development and testing of new modelling methodologies, and effectively challenge these models through benchmark modelling and model validation. Additionally, we will look to you to provide assurance with respect to governance, the control environment, and compliance with regulatory requirements around model risk management through participating model specific and model governance audits and managing small and less complicated audit assignments and initiatives.

                                                                    +

                                                                    +

                                                                    Important Information

                                                                      -
                                                                    • Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.

                                                                    • -
                                                                    • Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.

                                                                    • -
                                                                    • Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.

                                                                    • +
                                                                    • You have a Master’s or Doctor’s degree in related programs e.g. Financial Engineering, Math, Physics and will graduate in 2023.
                                                                    • +
                                                                    • Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. Please upload all documents as one PDF file into the Resume section of your application. +
                                                                    • +
                                                                    • Work Location: Toronto (exact location to be decided during interview).
                                                                    • +
                                                                    • Duration of Program: 2 years (four, 6-month rotations).
                                                                    • +
                                                                    • Available start dates are in 2023 (to be confirmed during interview stage).
                                                                    • +
                                                                    • This job posting closes on February 5th at 11:59pm.

                                                                    -

                                                                    Who You Are

                                                                    +

                                                                    How You’ll Succeed

                                                                      -
                                                                    • You have an advanced degree in a scientific or quantitative field

                                                                    • -
                                                                    • You have minimum of 3 year experience in industry or research

                                                                    • -
                                                                    • You enjoy the challenge of leading engagements and coaching junior team members

                                                                    • -
                                                                    • You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.

                                                                    • -
                                                                    • You have strong communication skills and an ability to present complex concepts clearly.

                                                                    • -
                                                                    • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                                    • -
                                                                    • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                    • -
                                                                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                    • -

                                                                      You have extensive knowledge of:

                                                                      -
                                                                        -
                                                                      • Programming in Python

                                                                      • -
                                                                      • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)

                                                                      • -
                                                                      • Writing queries in SQL and working with data warehouses

                                                                      • -
                                                                      • ML/AI Frameworks (Tensorflow, Pytorch)

                                                                      • -
                                                                      • Knowledge of NLP and associated toolkits (nltk, spaCy)

                                                                      • -
                                                                      • Software development and testing

                                                                      • -
                                                                      • Also beneficial:

                                                                      • -
                                                                      • Knowledge of data visualization tools such as Tableau

                                                                      • -
                                                                      • Understanding of Docker and Kubernetes

                                                                      • -
                                                                      • Exposure to big data frameworks (PySpark, SparkML)

                                                                      • -
                                                                      • Exposure Microsoft Azure cloud platform

                                                                      • +Project Management – You manage assignments through effective planning, execution, collaboration and communication to ensure timely delivery of high-quality results. + +
                                                                      • +Risk Focused – You understand the importance of maintaining and evolving processes and control to mitigate model risks arising from an ever-changing business. You will also act as a champion for existing processes, working with key stakeholders and partners. +
                                                                      • +
                                                                      • +Communication and Relationship Management - You will build and develop relationships with key business contacts, governance functions and oversight groups to become a true partner to the business. +
                                                                      • +
                                                                      • +Passion – you will prove your risk focus and passion by demonstrating continuous improvement ideas that will enable CIBC’s model risk management practices to stand out in today’s competitive landscape. +
                                                                      +

                                                                      +

                                                                      Who You Are

                                                                      +
                                                                        +
                                                                      • +You can demonstrate experience in the use of mathematical, computer science, and statistical techniques, such as predictive modeling, analytics, and machine learning. +
                                                                      • +
                                                                      • +You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way. +
                                                                      • +
                                                                      • +Your attention to detail is second to none and you pick up things that others miss. +
                                                                      • +
                                                                      • +You enjoy finding innovative solutions to problems that will make a difference today and in the future. +
                                                                      • +
                                                                      • +You embrace change and look to evolve your thinking and the way you work to deliver your best. +
                                                                      • +
                                                                      • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                      -

                                                                      What CIBC Offers

                                                                      -

                                                                      At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                                      +

                                                                      What CIBC Offers

                                                                      +

                                                                      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                        -
                                                                      • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                                                                      • -
                                                                      • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                                                                      • -
                                                                      • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                                                                      • -
                                                                      • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                                      • +
                                                                      • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                      • +
                                                                      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                      • +
                                                                      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                      What you need to know

                                                                      @@ -51782,207 +51345,157 @@ bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,

                                                                      -

                                                                      Job Location

                                                                      81 Bay Street, 1st Floor

                                                                      Employment Type

                                                                      Regular

                                                                      +

                                                                      Job Location

                                                                      Toronto-81 Bay, 20th Floor

                                                                      Employment Type

                                                                      Regular

                                                                      Weekly Hours

                                                                      37.5

                                                                      Skills

                                                                      -

                                                                      Advanced Analytics, Business Insights, Data Analysis, Data Science
                                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Advanced-Analytics---AI_2242794-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-19T15:23:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/176654372-senior-data-scientist-advanced-analytics-ai-at-cibc,,expired,2022-12-12T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Post-Graduate Diploma,New Posting, -450e6a30-eec7-4470-9b6b-b411cbf7cb67,172489051,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-01T17:24:03.148Z,"
                                                                    -

                                                                    Company Overview

                                                                    -
                                                                    -

                                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                    -

                                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                    -
                                                                    -

                                                                    -

                                                                    Department Overview

                                                                    -

                                                                    The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                                                                    -

                                                                    -

                                                                    Job Description

                                                                    -
                                                                    -

                                                                    Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                                                                    As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                                                                    -

                                                                    This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:
                                                                    • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                                                                    • Evaluate ML model development procedures and processes for model compliance risks (e.g., unfairness)
                                                                    • Support the development of technical standards and guidelines covering model risk matters, and draft key Compliance documents in appropriate coordination with stakeholders
                                                                    • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                                                                    • Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                                                                    o Supporting compliance risk management associated with models used by TD;
                                                                    o Supporting the business in identifying models whose outcomes impact customers or communities;
                                                                    o Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                                                                    o Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                                                                    • Partner with Legal, Privacy, Model Validation and other Compliance Units (e.g., TDI Compliance, and TDS Compliance)
                                                                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model or tool

                                                                    -

                                                                    The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                                                                    -

                                                                    TEAM DESCRIPTION

                                                                    -

                                                                    The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:
                                                                    • Assessing models for regulatory compliance and conduct risk;
                                                                    • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                                                                    • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.

                                                                    -

                                                                    COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                                                                    -
                                                                    -

                                                                    -

                                                                    Requirements

                                                                    -
                                                                    • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                                                                    • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                                                                    • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership on same
                                                                    • The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives
                                                                    • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                                                                    • Excellent verbal and written communication skills
                                                                    • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                                                                    • Work effectively as a team to peer review other team member model reviews and share knowledge
                                                                    • Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model and tool compliance risks
                                                                    • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                                                                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                                                                    • Quick learner who constantly works on improving skills and expertise.
                                                                    • Good time management and multitasking skills with minimal supervision.

                                                                    -

                                                                    EXPERIENCE & EDUCATION:
                                                                    • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                                                                    • Relevant experience with the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                                                                    • Demonstrated engagement with the issues of explainability and/or fairness in the context of advanced analytics and machine learning

                                                                    -
                                                                    -

                                                                    -

                                                                    Hours

                                                                    -
                                                                    37.5
                                                                    +

                                                                    Management Practices, Risk Management
                                                                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Quantitative-Rotational-Program_2300685?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-06T17:11:02.871Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/189559546-associate-quantitative-rotational-program-at-cibc,,expired,2023-01-23T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +96a14651-7744-415f-849f-eeed5e6f8f40,189570701,Thales,Cloud Database Administrator,on_site,"Ontario, Canada",2023-01-23T17:42:05.971Z,"
                                                                    Location: Ottawa, Canada

                                                                    +

                                                                    Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                                                    +

                                                                    +

                                                                    +

                                                                    +

                                                                    We are currently recruiting for a talented Cloud Database Administrator to provide support of this complex state-of-art solution. This role will provide you with the opportunity to learn the latest IT solutions and security concepts, within a like-minded supportive talented team.

                                                                    -

                                                                    Inclusiveness

                                                                    -

                                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                    +

                                                                    Thales offers global cloud-based authentication services for high-profile customers with the most versatile and highest security practices implemented. We provide identity and access management services to thousands of customers worldwide

                                                                    -
                                                                    ",,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-19T15:22:00.000Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/172489051-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1f35a6a4-55b6-4bd6-9c1b-eb1358e93bc5,175020135,Scotiabank,"Manager, Financial Reporting (Data Analytics)",on_site,Canada : Ontario : Toronto,2022-12-08T17:22:03.286Z,"

                                                                    -

                                                                    -

                                                                    -

                                                                    -

                                                                    Requisition ID: 166893

                                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                    -

                                                                    -

                                                                    Purpose of Job:

                                                                    -

                                                                    -

                                                                    The Manager, Financial Reporting, will assist in the analysis, monitoring and reporting of Retail Credit Risk, Small Business & Wealth Management portfolios including monthly, quarterly and annual reporting for Scotiabank's senior management, investors and regulators.

                                                                    -

                                                                    -

                                                                    Job Responsibilities:

                                                                    -

                                                                    -
                                                                    • Assist in the preparation of Global Retail Credit Risk monthly, quarterly and annual portfolio reporting for Bank Executives and external stakeholders:
                                                                    • Development, analysis and maintenance of key senior management reports including data management, presentation, documentation, quality assurance and operational production effectiveness
                                                                    • Provide prompt and sound analysis of performance of the Retail, Small Business and Wealth Management portfolios to support management decisions
                                                                    • Participate in the identification, assessment and monitoring of credit risk trends and communicate adherence to authorized risk tolerance parameters
                                                                    • Extract, review, and analyze data from Enterprise General Ledger, Enterprise Date Lake & other various sources to address Global Retail Credit Risk ad-hoc reporting needs and projects
                                                                    • Prepare quarterly regulatory reporting and financial note disclosure:
                                                                    • Interact with the Canadian & International Retail Risk groups, Finance, Audit and other Bank departments to ensure information provided is accurate and reliable
                                                                    • Prepare reconciliations and analysis of Retail Risk and financial information to ensure that the data discrepancies are properly known and identified.
                                                                    • Assist in developing enhancements for reporting and data aggregation by:
                                                                    • Following and keeping up-to-date with regulatory requirements, End User Computing guidelines, RDARR principles and other data-related requirements
                                                                    • Improving the reporting methodology, modifying requirements per regulator guidance, identifying streamlining opportunities and redesigning as appropriate
                                                                    • Provide key support and technical expertise in data management and validations, report automation and trend analysis; Work with technology teams to identify issues and implement solutions.
                                                                    • -
                                                                    -

                                                                    -

                                                                    Job Requirements:

                                                                    -

                                                                    -
                                                                    • University degree in business (finance or accounting) or a quantitative field (mathematics or statistics).
                                                                    • A minimum of 5 years progressive experience and functional competencies in development, analytics and delivery of senior management reporting including monthly, quarterly reporting; experience in Retail Banking, Retail Credit Risk and financial / quantitative methodologies.
                                                                    • To be successful in the position, the incumbent must have the following competencies:
                                                                      • Must have knowledge and experience in SAS, SQL and VBA.
                                                                      • Knowledge of current industry trends, regulatory requirements and industry best practices
                                                                      • Familiar with the Bank's General Ledger and / or has experience with preparing financial note disclosures
                                                                      • High level of proficiency in using MS Office suite of applications (MS Word, MS Excel, MS Access, MS PowerPoint)
                                                                      • Ability to analyze raw data; strong ability to understand and write business requirements.
                                                                      • Sound project and time management skills; strong organizational and prioritization skills; strong communication skills, both verbal and written; a highly proactive attitude, and use of initiative and independent judgment
                                                                      • Experience with Power BI or Tableau and open source programming like SQL, R or Python are considered an asset.
                                                                    • -
                                                                    -

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/175020135-manager-financial-reporting-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,expired,2022-12-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0927fcff-d82a-4981-9b00-1f10480a67a4,177790850,Scotiabank,Velocity - Business Analyst Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:03.289Z,"

                                                                    -

                                                                    -

                                                                    -

                                                                    -

                                                                    Requisition ID: 169371

                                                                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                    -

                                                                    -

                                                                    Term: May-August 2023
                                                                    Application Deadline: 12/31/2022

                                                                    -

                                                                    -

                                                                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                    -

                                                                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                    -

                                                                    -

                                                                    Is this role right for you? In this role, you will:

                                                                    -
                                                                    • Work with a team of highly-motivated, technical generalists and bankers to deliver clean and effective solutions
                                                                    • Identify and analyze business and technical requirements to create diagrams, flow charts, and documentation
                                                                    • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                    • Make impact by constantly improving, identifying and implementing process
                                                                    • -
                                                                    -
                                                                    • Experiment & learn!
                                                                    • -
                                                                    -

                                                                    -

                                                                    -

                                                                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                    -
                                                                    • You are currently enrolled in post-secondary education.
                                                                    • -
                                                                    -
                                                                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                    • You have knowledge/experience in:
                                                                    • -
                                                                    -
                                                                    • Drawing conclusions and provide actionable insights to encourage data –driven decision making
                                                                    • Managing a project, and ensuring deliverables are made
                                                                    • -
                                                                    -
                                                                    • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                                                    • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                                                                    • -
                                                                    -

                                                                    -

                                                                    What’s in it for you?

                                                                    -
                                                                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                    • -
                                                                    -
                                                                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                    • +

                                                                      Key Responsibility

                                                                      +
                                                                        +
                                                                      • Analyze product requirements and identify the best database solution, technology, and tool.
                                                                      • +
                                                                      • Ensure database consistency of the projects by resolving any constraints.
                                                                      • +
                                                                      • Develop database installation and upgrade script, which is part of CI/CD.
                                                                      • +
                                                                      • Provide workload estimation of customization, features, and component level.
                                                                      • +
                                                                      • Forecast, inform risk/concern on task, team, or project level, and propose mitigation plans.
                                                                      • +
                                                                      • Provide technical solutions, support, and perform several activities for a new or customized database of products/components used in the project which includes but is not limited to database design, installation, upgrade, migration, backup, recovery, failover, HA, hardening, monitoring, etc.
                                                                      • +
                                                                      • Review other DevOps code as necessary.
                                                                      • +
                                                                      • Orchestrate and optimize the database activities of several databases, schemas, and components in one project or solution.
                                                                      • +
                                                                      • Manage system/network configuration and monitoring.
                                                                      • +
                                                                      • Strategize and plan for data migration, and develop data migration script if required by the project.
                                                                      • +
                                                                      • Support, investigate and propose solutions/workarounds for production issues related to the database.
                                                                      • +
                                                                      • Provide documentation as appropriate including design documentation, comments in code, and end-user documentation
                                                                      • +
                                                                      • Consult with other technical team members and management on industry best practices.
                                                                      • +
                                                                      • Maintain and enhance internal tools
                                                                      • +
                                                                      • Provide input to improve the scalability and reliability of infrastructure to our Automation Architects
                                                                      • +
                                                                      • Deploy and assist with the maintenance of automation technologies
                                                                      • +
                                                                      • Participate in the on-call schedule & Provide L2/L3 Support to our Services desk and R&D teams
                                                                      • +
                                                                      • Document all build and run procedures when implementing new automation technologies.
                                                                      -

                                                                      -

                                                                      -

                                                                      How do I apply?

                                                                      -

                                                                      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                      -

                                                                      -
                                                                      1. Complete your PLUM Profile here and save as a screenshot.
                                                                      2. Complete a short one-way video interview here.
                                                                      3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                      4. -
                                                                      -

                                                                      -

                                                                      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                      -

                                                                      -

                                                                      Location(s): Canada : Ontario : Toronto

                                                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/177790850-velocity-business-analyst-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, -0dfa24d6-0eb1-4820-a3dc-82d5b2267224,37638629,Darwin AI,Full-Stack Developer ☑️,on_site,"Toronto, ON, Canada",2020-08-05T13:29:33.650Z,"

                                                                    WHO WE ARE LOOKING FOR

                                                                    -

                                                                    -

                                                                    Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                                    -

                                                                    REQUIREMENTS

                                                                    -

                                                                    -

                                                                    Our ideal candidate possesses:

                                                                    Must-have

                                                                    +

                                                                    Required Skills and Exerience

                                                                      -
                                                                    • Min 3 years of web development experience.
                                                                    • -
                                                                    • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                                    • -
                                                                    • Must have worked with reactive development.
                                                                    • +
                                                                    • 5+ years experience in Cloud Native database technologies including RDS,MSSQL, CloudSQL, Cloud Spanner, etc.
                                                                    • +
                                                                    • 5+ years experience in deploying and supporting different flavors of Cloud and OnPrem databases including MSSQL, MySQL, Postgres, MongoDB, etc.
                                                                    • +
                                                                    • 5+ years must have experience with orchestration and Automations tools (Helmcharts, Ansible, Terraforms, Yaml, Python, Json)
                                                                    • +
                                                                    • 5+ years experience in SQL programming, bash scripting etc.
                                                                    • +
                                                                    • Experience in configuring and maintaining different database replication methodologies.
                                                                    • +
                                                                    • Strong interest in performance and security. Involvement in application server deployment including System setup, monitoring and Network configuration
                                                                    • +
                                                                    • Understanding of operational concepts like change management, on-call rotations, escalations, uptime, etc
                                                                    • +
                                                                    • Experience in managing production systems on a very large scale
                                                                    • +
                                                                    • Experience with security-relevant protocols
                                                                    • +
                                                                    • Deep understanding of one of the major OS families (Linux or Windows)
                                                                    • +
                                                                    • Adhere to security best practices from design to implementation and operations
                                                                    • +
                                                                    • Experience with PaaS technologies (K8s, OpenShift, etc.)
                                                                    • +
                                                                    • Experience with building pipelines for Infrastructure as a code using Terraform
                                                                    • +
                                                                    • Ability to work in an extremely geographically distributed company
                                                                    • +
                                                                    • Excellent communication skills across multiple mediums
                                                                    -


                                                                    Preferable:

                                                                    -
                                                                      -
                                                                    • SQL
                                                                    • -
                                                                    • Data Visualization frameworks like D3, C3 etc
                                                                    • -
                                                                    • Basic knowledge of AWS
                                                                    • -
                                                                    • Agile development methodology TEST.
                                                                    • -
                                                                    ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-09-04T13:29:00.000Z,False,0,0,49,https://talenthub.vectorinstitute.ai/jobs/37638629-full-stack-developer-at-darwin-ai,,expired,2020-08-05T13:29:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -09687f2d-8297-4510-bc0b-ab214747262e,178993304,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2022-12-19T17:24:02.800Z,"
                                                                    +

                                                                    +

                                                                    +

                                                                    Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                                    +
                                                                    ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Cloud-Database-Administrator_R0191124-1?q=Data+Ontario&jobFamilyGroup=47200b8529d910216a6cd92c6e3634d2,feed-importer@jobboard.io,,,,2023-02-07T23:07:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/189570701-cloud-database-administrator-at-thales,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, +92ba831e-82cb-4312-b5dd-0105b0378188,190518279,TD Bank Group,Business Insights & Analytics Associate (Undergraduate),on_site,"Toronto, ON",2023-01-27T17:24:05.213Z,"

                                                                    Company Overview

                                                                    -

                                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                    -

                                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                    +

                                                                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                    +

                                                                    TD’s Colleague Promise: A better you. A better us.

                                                                    +

                                                                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                    Department Overview

                                                                    -

                                                                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                    -

                                                                    -

                                                                    Job Description

                                                                    -
                                                                    -

                                                                    About this Role

                                                                    -

                                                                    As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                    -

                                                                    Must-Have

                                                                    -
                                                                      -
                                                                    • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                    • -
                                                                    • Experience with building and scaling data-intensive software in Python
                                                                    • -
                                                                    • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                    • -
                                                                    • Experience building and manage a machine learning data pipeline
                                                                    • -
                                                                    • You value good software design and sweat over details in code and API design
                                                                    • -
                                                                    • You enjoy learning new technology and educating others
                                                                    • -
                                                                    • You strive to communicate clearly and with empathy
                                                                    • -
                                                                    • You take great personal pride in building robust and scalable software
                                                                    • -
                                                                    • You are highly accountable and have a strong sense of ownership
                                                                    • -
                                                                    • Ability to do detailed code reviews and give thoughtful feedback
                                                                    • +
                                                                      +

                                                                      Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                      +

                                                                      Associate Role Profile:

                                                                      +
                                                                        +
                                                                      • 1-year in-depth experience, complemented by programming, coaching, tools and support
                                                                      • +
                                                                      • This is a full-time, permanent position
                                                                      -

                                                                      Nice to have:

                                                                      +

                                                                      In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                      +
                                                                      +

                                                                      +

                                                                      Job Description

                                                                      +
                                                                      +

                                                                      The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Insights & Analytics Associate will perform a variety of activities, which may include:

                                                                        -
                                                                      • Experience building a library or a framework
                                                                      • -
                                                                      • Knowledge of machine learning algorithms
                                                                      • -
                                                                      • Experience with Azure cloud stack
                                                                      • -
                                                                      • Data analytics
                                                                      • -
                                                                      • Knowledge with C++
                                                                      • -
                                                                      • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                      • +
                                                                      • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
                                                                      • +
                                                                      • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                                                      • +
                                                                      • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                                                      • +
                                                                      • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                                                      • +
                                                                      • Collaborate with business partners to support the business case development process for analytics solutions

                                                                      Requirements

                                                                      -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                        -
                                                                      • University or post-graduate degree
                                                                      • -
                                                                      • Strong academic background (e.g., computer science, engineering)
                                                                      • -
                                                                      • 2+ years relevant experience
                                                                      • +
                                                                      • JOB REQUIREMENTS
                                                                      • +
                                                                      • Must be graduated between May 2021 and May 2023 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
                                                                      • +
                                                                      • Strong statistical and analytical skills and interest are necessary.
                                                                      • +
                                                                      • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                                                      • +
                                                                      • +Experienced in one or more of: +
                                                                      • +
                                                                      • Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++
                                                                      • +
                                                                      • Technical knowledge or experience with Hadoop, Spark and Cloud.Experience with Data Management, and Project Management is a plus.
                                                                      +

                                                                      Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Remain current with emerging trends and technologies in this field.

                                                                      Additional Information

                                                                      -#LI-Hybrid #datascientist
                                                                      +

                                                                      ADDITIONAL INFORMATION

                                                                      +
                                                                        +
                                                                      • Application Deadline: February 5th, 2023
                                                                      • +
                                                                      • Anticipated Start Date: July 2023
                                                                      • +
                                                                      • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                      • +
                                                                      • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                      • +
                                                                      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                      • +
                                                                      • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                                                      • +
                                                                      +
                                                                      • +HOURS

                                                                        Monday-Friday, standard business hours.

                                                                        +

                                                                        INCLUSIVENESS

                                                                        +

                                                                        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                        +
                                                                      +

                                                                    Hours

                                                                    37.5

                                                                    +

                                                                    Start Date

                                                                    +
                                                                    – Summer
                                                                    +

                                                                    Inclusiveness

                                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                    -
                                                                    ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:08.499Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/178993304-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-11-21T17:42:06.898Z,"
                                                                    +
                                                                    ",,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:10:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/190518279-business-insights-analytics-associate-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +cbd78f0a-44a0-4f19-a89c-6115a2862c15,186278243,TELUS,Data Ethicist - REMOTE,on_site,"Ontario, Canada",2023-01-12T17:42:04.341Z,"

                                                                    Description

                                                                    -

                                                                    -

                                                                    Our team and what we\'ll accomplish together

                                                                    -

                                                                    -

                                                                    The Marketing, Strategy and Data Insights team supports TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                    -

                                                                    -

                                                                    You’ll collaborate with teams across the company, seeking out innovative data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                                                    -

                                                                    -

                                                                    As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploration of datasets, development of novel AI techniques, to automation of pipelines and ML models; be a leader in our cloud migration journey.

                                                                    -

                                                                    -

                                                                    What you\'ll do

                                                                    +


                                                                    Join our team and what we\'ll accomplish together

                                                                    +


                                                                    The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Data Ethicist, reporting to the Director of Data Ethics & Governance, you will provide thought-leadership and work with a cross-functional group focused on enabling a framework for responsible use of data, including health data. You will guide the design and development of data research, data-driven products and services in accordance with ethical principles.

                                                                    +


                                                                    You will be a champion for data ethics across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to data ethics will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data, including health data, for social good and specifically to address some of society’s most pressing problems.

                                                                    +


                                                                    Here’s how

                                                                      -
                                                                    • Lead the iterative development, validation, and deployment of AI/ML models
                                                                    • -
                                                                    • Collaborate on end-to-end automation efforts required to bring models to production
                                                                    • -
                                                                    • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                    • -
                                                                    • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                    • -
                                                                    • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                    • -
                                                                    • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                    • -
                                                                    • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                    • +
                                                                    • Provide ethical analysis and questioning for the implications of data use and technology evolution that is fair and transparent, considering the experience of a broad range of stakeholders to identify potential unintended consequences and impacts
                                                                    • +
                                                                    • Establish the data ethics framework to ensure there is understanding, consideration and foresight into the issues raised by previously unimaginable uses of data and the development of emerging technologies like AI
                                                                    • +
                                                                    • Enhance understanding of data ethics and its importance across TELUS, providing education and influencing the data user community and network of Data Stewards on responsible innovation
                                                                    • +
                                                                    • Work with TELUS engineers, researchers, designers and business stakeholders to embed ethical decision-making and risk mitigation and monitoring processes into emerging technology, ensuring that design and production is fit for purpose and beneficial
                                                                    • +
                                                                    • Maintain expert knowledge of data ethics toolkits, best practices and contribute to industry working groups on standards for data ethics and responsible innovation.
                                                                    • +
                                                                    • Define and oversee stakeholder engagement methods to incorporate participatory human-centered design and the consultation of diverse voices across the innovation lifecycle to enhance public understanding and improve the social impacts of technology
                                                                    • +
                                                                    • Learn continuously, innovate every day and seek opportunities to develop and demonstrate thought leadership with external stakeholders

                                                                    @@ -51995,271 +51508,61 @@ ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ont

                                                                    What you bring

                                                                      -
                                                                    • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                    • -
                                                                    • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                    • -
                                                                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                    • -
                                                                    • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                                                    • -
                                                                    • You possess advanced knowledge in SQL and Apache Spark
                                                                    • -
                                                                    • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                    • -
                                                                    • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                    • +
                                                                    • University degree or equivalent experience in applied ethics, philosophy, ethical machine learning, human-computer interaction, social and human sciences, or relevant fields
                                                                    • +
                                                                    • Valued for your knowledge and expertise in data ethics and ethical risk assessments of emerging technology
                                                                    • +
                                                                    • Experienced in establishing ethical decision-making and monitoring processes
                                                                    • +
                                                                    • Demonstrated knowledge and experience in conducting analysis around societal expectations, including identifying stakeholder values and defining techniques for engagement and input
                                                                    • +
                                                                    • Highly adaptable and comfortable working in a nascent field in a demanding and fast-paced environment
                                                                    • +
                                                                    • Able to identify and proactively consider opportunities outside of conventional thinking, providing multiple solutions to resolve problems and address gaps
                                                                    • +
                                                                    • Effective in written communication and verbally communicating progress on initiatives in leadership forums
                                                                    • +
                                                                    • Trusted as a collaborative partner with excellent interpersonal skills who will act with integrity and exemplify ethical practices to fulfill TELUS’ commitments to its customers
                                                                    • +
                                                                    • Post-secondary degree is a requirement
                                                                    -

                                                                    -

                                                                    Great-to-haves

                                                                    +


                                                                    Great-to-haves

                                                                      -
                                                                    • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                    • -
                                                                    • GCP or other cloud certifications #LI-REMOTE -
                                                                    • +
                                                                    • Bilingualism in English & French, verbal and/or written
                                                                    • +
                                                                    • Experience working in a large, matrixed organization
                                                                    • +
                                                                    • Experienced in implementing multidisciplinary data ethics practices and collaborating in a cross-functional environment working with technology, policy, engineering, product and research teams

                                                                    -
                                                                    ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/565302217/,feed-importer@jobboard.io,,,,2022-12-24T13:48:41.181Z,False,0,7,66,https://talenthub.vectorinstitute.ai/jobs/169479517-data-scientist-at-telus,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,PhD,New Posting, -9c79cb31-b526-4503-a38c-a20c8dbf70c9,170605616,TD Bank Group,Machine Learning Engineer Framework (Layer 6),on_site,"Toronto, ON",2022-11-24T17:24:03.072Z,"
                                                                    -

                                                                    Company Overview

                                                                    -
                                                                    -

                                                                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                    -

                                                                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                    -
                                                                    -

                                                                    -

                                                                    Department Overview

                                                                    -
                                                                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                    -

                                                                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                    -
                                                                    -

                                                                    -

                                                                    Job Description

                                                                    -
                                                                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have a real world impact. The goal of the framework is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration.

                                                                    -

                                                                    As part of the Machine Learning Frameworks team, you will design and build the cloud-based core engine powering enterprise use cases at the bank, enabling scientists to build high-quality machine learning models. You will work with ML product engineers, Ops teams, and scientists to ensure our frameworks can support use cases deployed on our computing infrastructure.

                                                                    -
                                                                      -
                                                                    • Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.
                                                                    • -
                                                                    • Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
                                                                    • -
                                                                    -

                                                                    Customer Accountabilities:

                                                                    -
                                                                      -
                                                                    • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                                                                    • -
                                                                    • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                                                                    • -
                                                                    • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                                                                    • -
                                                                    • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                                                                    • -
                                                                    • Act as the expert or lead innovator and agent of change for the programs and services under management
                                                                    • -
                                                                    • Work with other teams to implement best practices for engineering and management
                                                                    • -
                                                                    • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                                                                    • -
                                                                    • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                                                                    • -
                                                                    • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                                                                    • -
                                                                    -

                                                                    -

                                                                    Requirements

                                                                    -
                                                                    -Must-Have:

                                                                    -
                                                                      -
                                                                    • Experience with building and scaling data-intensive software.
                                                                    • -
                                                                    • You value good software design and sweat over details in code and API design.
                                                                    • -
                                                                    • You enjoy learning new technology and also educating others.
                                                                    • -
                                                                    • You take great personal pride in building robust and scalable software.
                                                                    • -
                                                                    • You strive to communicate clearly and with empathy.
                                                                    • -
                                                                    • You are highly accountable and have a strong sense of ownership.
                                                                    • -
                                                                    • Ability to do detailed code reviews and give thoughtful feedback.
                                                                    • -
                                                                    -

                                                                    Nice to have

                                                                    -

                                                                    Experience building a library or a framework.
                                                                    Experience using spark or other distributed data frameworks.
                                                                    Comfortable with statistics.
                                                                    Knowledge of machine learning algorithms.

                                                                    Knowledge of distributed systems.

                                                                    -
                                                                    -

                                                                    -

                                                                    Additional Information

                                                                    -
                                                                    #LI-Hybrid
                                                                    -

                                                                    -

                                                                    Hours

                                                                    -
                                                                    37.5
                                                                    -

                                                                    -

                                                                    Inclusiveness

                                                                    -

                                                                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                    -

                                                                    -
                                                                    ",,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-26T17:29:06.226Z,False,0,11,54,https://talenthub.vectorinstitute.ai/jobs/170605616-machine-learning-engineer-framework-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -0177694f-f5b2-45b6-9ac4-9f45750c5a3a,195761431,Bell Canada,"ON - 2023 Internship Program - Customer Experience, Marketing, and Applied Technologies",on_site,"Toronto, Ontario",2023-02-12T17:21:03.921Z,"

                                                                    Req Id: 390452

                                                                    -

                                                                    -

                                                                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                    -

                                                                    -

                                                                    If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                    -

                                                                    Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                    -

                                                                    -

                                                                    Revised Application Deadline: 02/26/2023

                                                                    -

                                                                    -

                                                                    Over the course of our three-month internship program, you will:

                                                                    -

                                                                    -
                                                                      -
                                                                    • Learn from the customer: Work directly with our customers through our call centres and online e-chat services as you learn about our services and customer support systems.
                                                                    • -
                                                                    • Apply your learnings: Improve the customer experience by working with your fellow interns on critical business projects. Our executive team carefully selects project topics, which offer interns an opportunity to make tangible impacts.
                                                                    • -
                                                                    • Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
                                                                    • -
                                                                    -

                                                                    Why join us:

                                                                    -
                                                                      -
                                                                    • Learn how to leverage and use data to drive results as you produce and present business cases to our senior Leadership Team.
                                                                    • -
                                                                    • Develop your analytical, project management, and communication skills with training and hands-on opportunities to apply your learnings.
                                                                    • -
                                                                    • Interact with our peer-to-peer support network and receive mentorship from recent Grads enrolled in our full-time Graduate Leadership Program.
                                                                    • -
                                                                    • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program.
                                                                    • -
                                                                    -

                                                                    You should apply if:

                                                                    -
                                                                      -
                                                                    • You are graduating in spring 2024.
                                                                    • -
                                                                    • You are enrolled in a university Bachelor’s degree in engineering, business technology management, computer science, math/statistics, business, or economics.
                                                                    • -
                                                                    • You are enrolled in a full time STEM-related college program and are required to complete an integrated work experience.
                                                                    • -
                                                                    -
                                                                      -
                                                                    • You are aligned with working in-person at a Toronto-based Bell office location 2-3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.
                                                                    • -
                                                                    • You have excellent interpersonal and communication skills (verbal and written).
                                                                    • -
                                                                    • You have introductory experience, or the desire to learn, data tools and software such as SQL, SAS, MicroStrategy, and Unica.
                                                                    • -
                                                                    -

                                                                    Application Instructions:

                                                                    -
                                                                      -
                                                                    1. Apply directly on Bell’s career page.
                                                                    2. -
                                                                    3. Submit a resume and most recent transcripts (unofficial accepted).
                                                                    4. -
                                                                    5. -When prompted, indicate three role profiles that interest you. Before submitting your application, please visit jobs.bell.ca/ca/en/campus-glp-customer-operations for more information on each of the following role profiles:
                                                                        -
                                                                      1. Customer Experience Strategy, Design and Delivery
                                                                      2. -
                                                                      3. Operations and Business Strategy
                                                                      4. -
                                                                      5. Digital Advocacy (Web and App)
                                                                      6. -
                                                                      7. Application Developer
                                                                      8. -
                                                                      9. Communications and Brand Development
                                                                      10. -
                                                                      11. Marketing Campaigns and Pricing Strategy
                                                                      12. -
                                                                      13. Channel Sales Strategy
                                                                      14. -
                                                                      15. Product Management (Internet, TV, 5G and IoT)
                                                                      16. -
                                                                      17. Business Intelligence Analyst, Operational Insight and Support
                                                                      18. -
                                                                      19. Machine Learning Developer
                                                                      20. -
                                                                      -
                                                                    6. -
                                                                    -

                                                                    -

                                                                    Please note: We hire on a rolling basis. This means that applications are reviewed as they are received and positions may be filled while this job ad is still live. Apply as early as possible to give yourself the best chance!

                                                                    -

                                                                    -

                                                                    #EmployeeReferralProgram

                                                                    +
                                                                ",,https://careers.telus.com/job/Toronto-Data-Ethicist-REMOTE-ON/564983417/,feed-importer@jobboard.io,,,,2023-02-07T23:06:00.000Z,False,0,12,86,https://talenthub.vectorinstitute.ai/jobs/186278243-data-ethicist-remote-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, +9fe53bbd-12d7-492d-b6e1-09a5064f94a9,192665224,Scotiabank,"Manager, Adjudication Data Analytics",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.925Z,"

                                                                -

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                -

                                                                Additional Information:

                                                                -

                                                                Position Type: Management
                                                                Job Status:
                                                                Intern
                                                                Job Location:
                                                                Canada : Ontario : Don Mills || Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 11/27/2022

                                                                -

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                -


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                Requisition ID: 169306

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                +

                                                                Purpose of Job:

                                                                -

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                The Adjudication Management function is responsible for working with the Retail and Small Business risk adjudication teams (Loan Adjudication Centres & Loan Underwriting Centres) across the Caribbean region. This function is responsible to peform Data Analytics for the adjudication process considering Operations and Credit Risk.

                                                                -

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                Job Responsibilities:

                                                                -

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA390452EXTERNALENCA/ON-2023-Internship-Program-Customer-Experience-Marketing-and-Applied-Technologies?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-15T17:26:04.415Z,True,0,2,12,https://talenthub.vectorinstitute.ai/jobs/195761431-on-2023-internship-program-customer-experience-marketing-and-applied-technologies-at-bell-canada,BECACA390452EXTERNALENCA,expired,2023-02-12T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, -7846eaf0-7ac7-4b00-a35e-813bb39f5716,189731374,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-01-24T17:42:04.470Z,"
                                                                -

                                                                -

                                                                -

                                                                Vision and Core Values

                                                                -

                                                                -

                                                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                -

                                                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                -
                                                                  -
                                                                • Investing to earn outstanding returns with due regard for risk
                                                                • -
                                                                • Partnering with like-minded investment managers
                                                                • -
                                                                • Providing high quality service to our members and employers
                                                                • -
                                                                • Delivering value for money
                                                                • -
                                                                • Building a culture of excellence and pride in OMERS
                                                                • -
                                                                -

                                                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                -

                                                                -

                                                                Value Proposition

                                                                -

                                                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                -

                                                                -

                                                                Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                -

                                                                -

                                                                Responsibilities:

                                                                -
                                                                  -
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                • -
                                                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                • -
                                                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                • -
                                                                • Automate manual processes and optimize data delivery
                                                                • -
                                                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                • -
                                                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                • -
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • -
                                                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                • -
                                                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                • -
                                                                -

                                                                -

                                                                Qualifications:

                                                                -
                                                                  -
                                                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                • -
                                                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                • -
                                                                • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                • -
                                                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                • -
                                                                • Deep proficiency in SQL, Python, and similar languages
                                                                • -
                                                                • Good understanding of investment products
                                                                • -
                                                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                • -
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • -
                                                                • Investment data modeling experience using the Kimball method is an asset
                                                                • -
                                                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                • -
                                                                • Data governance experience is an asset
                                                                • -
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                • -
                                                                -

                                                                -

                                                                And you demonstrate:

                                                                -
                                                                  -
                                                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                • -
                                                                • A teammate mentality coupled with servant leadership
                                                                • -
                                                                • A sense of urgency, optimism, and a desire to deliver excellence
                                                                • -
                                                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                • -
                                                                • Strong orientation towards strategy, change, and results
                                                                • -
                                                                • A continuous improvement mindset
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4307?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,12,45,https://talenthub.vectorinstitute.ai/jobs/189731374-data-engineer-finance-data-at-omers,,expired,2023-01-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-01-27T17:42:02.489Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                +

                                                                The Manager, Adjudication Data Analytics C & CA will work closely with the Director Adjudication to ensure that all adjudication teams are aligned in terms of the risk policies and Bank’s Risk Appetite. Key accountabilities include:

                                                                -

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                                The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                                -


                                                                What you’ll do

                                                                +

                                                                • Develop reports using Data Analytics techniques for the adjudication centres to monitor operational KPIs, loan performance and exception management reporting

                                                                +

                                                                • Apply critical thinking to validate improvements with the adjudication units using data and analytics

                                                                +

                                                                • Manage analytical inquiries related to executive decisions and conducts root cause analysis of key operational issues, providing guidance and advice towards optimal resolution and mitigation while ensuring a timely and high-quality response.

                                                                +

                                                                • Responsible for monitoring the activity of the adjudication teams to provide risk oversight, including providing monthly analysis on early warning indicators, process updates, impact on adjudication from new initiatives or risk policies.

                                                                +

                                                                • Participating in key risk initiatives and projects which focus on the key priorities of the Adjudication teams from the data analytics perspective.

                                                                +

                                                                • Conducting assessments of the operational activity across the adjudication workflow. It is required that the Manager will provide recommendations for efficiency gains and be responsible for implementing these recommendations leveraging data and analytics.

                                                                +

                                                                • Assisting in the preparation of training material and tools for adjudicaiton teams, including communication of changes and updates.

                                                                +

                                                                • Working closely with the heads of the adjudication teams and Quality Assurance to identify areas where processes and procedures may need to be developed to improve the overall consistency of credit risk decisions.

                                                                +

                                                                • Adherence to lean practices and methodology

                                                                +

                                                                • Assist the Director with planning, forecasting, ad hoc requests, research, and strategic projects as they arise

                                                                +

                                                                • Responsible for quarterly Cost Allocation Transfer Pricing Expenses for the Adjudication department

                                                                +

                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

                                                                +

                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy, and managing succession and development planning for the team

                                                                +

                                                                Job Requirements:

                                                                -
                                                                  -
                                                                • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                                • -
                                                                • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                                • -
                                                                • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                                                                • -
                                                                • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                                • -
                                                                • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                                • -
                                                                • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -


                                                                What you bring

                                                                +

                                                                • Minimum bachelor's degree in business, economics, or finance or at least 3 year's working experience in retail banking or risk management
                                                                • Strong skills with data visualization tools such as Power BI, Tableau, SAS
                                                                • Experience on data analytics with a solid grasp of reporting practices and performance measurement tools
                                                                • Strong communication skills
                                                                • Strategic influencing abilities
                                                                • Assertive, and driven to be a change agent
                                                                • Fluent written and spoken English is mandatory
                                                                • Experience in Retail & Small Business banking, finance, credit risk are assets
                                                                • Spanish is an asset

                                                                -
                                                                  -
                                                                • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                                • -
                                                                • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                                • -
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                                • -
                                                                • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                                                                • -
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • -
                                                                • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                                                                • -
                                                                • You are experienced with Informatica IICS and Powercenter ETL tools
                                                                • -
                                                                • You have a strong SQL foundation
                                                                • -
                                                                -



                                                                Great-to-haves

                                                                -
                                                                  -
                                                                • You are experienced in the data engineering field and comfortable in leading projects in it.
                                                                • -
                                                                • You have GCP or other cloud certification.
                                                                • -
                                                                • Scrum Master Certified
                                                                • -
                                                                • PMP Certified
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/190519196-product-owner-data-engineering-at-telus,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -869e530d-76a0-4c8a-bff1-719c056a63de,187920680,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-01-17T17:24:03.138Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/192665224-manager-adjudication-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d61d8e1d-f197-4010-a014-c192e1da27bc,193457623,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-02-06T17:24:02.760Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -52268,198 +51571,371 @@ a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engine

                                                                Department Overview

                                                                -

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                -

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                -

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                Job Description

                                                                -

                                                                About this Role

                                                                -

                                                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                                                -

                                                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                                                -

                                                                As a Data Scientist III, these are the essential qualifications of this role:

                                                                +

                                                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                                                +

                                                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                                                +

                                                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                                                +

                                                                Job Description
                                                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                                                +

                                                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                                                +

                                                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                                                +

                                                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                                                +

                                                                Responsibilities

                                                                  -
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • -
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • -
                                                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                                • -
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • -
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • -
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • -
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • -
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                • Design / execute / measure high impact direct to consumer marketing experiments
                                                                • +
                                                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                                                • +
                                                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                                                • +
                                                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                                                • +
                                                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                                                • +
                                                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                                                • +
                                                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship

                                                                Requirements

                                                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Skill Sets

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Ten (10) or more years of relevant experience
                                                                • -
                                                                • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
                                                                • -
                                                                • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
                                                                • +
                                                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                                                • +
                                                                • Technical and detail oriented
                                                                • +
                                                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                                                • +
                                                                • A project management mindset to help deliver on time to specifications
                                                                • +
                                                                • Team player while able to work independently
                                                                • +
                                                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                                                • +
                                                                • A profit driven mindset
                                                                • +
                                                                +

                                                                Qualifications

                                                                +
                                                                  +
                                                                • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                                                • +
                                                                • Significant experience with IBM Campaign (Unica) an asset
                                                                • +
                                                                • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                                                • +
                                                                • Knowledge of Python, Azure, Databricks, Hadoop
                                                                • +
                                                                • Experience designing successful direct marketing experiments
                                                                • +
                                                                • Degree in business, science, statistics, engineering, or other quantitative discipline
                                                                • +
                                                                • Track record of delivering successful initiatives on time and on budget
                                                                +

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid #datascientist
                                                                -

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/187920680-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-01-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -413b8ae1-6ce9-4c74-a6d0-4c5f3ad8ce88,190518303,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-01-27T17:24:07.558Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-09T17:29:05.822Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/193457623-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-02-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +55130e11-fb2f-4658-bc69-a99859bfb988,194548082,CIBC,"Director, Treasury Analytics",on_site,"Ontario, Canada",2023-02-09T17:06:02.350Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                Department Overview

                                                                -

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role
                                                                Are you an experienced data steward or data governance professional? Are you able to identify and manage data risk? If so, this role will enable you to support lines of business to identify and address various data risks, working in alignment with Bank-wide data standards and policy. This role will report into the Manager, Data Steward.

                                                                -

                                                                As a Data Steward, your ability to analyze, organize and prioritize will be foundational to your success in the role. You will act as a subject matter expert and develop and maintain a robust understanding of governance and control requirements. Your strong ability to work with multiple stakeholders and form positive working relationships will be key. As a key member of the team, you will:

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll be Doing

                                                                +

                                                                +

                                                                This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates. As the Director, Treasury Analytics will drive insights, identify inherent risk drivers of consumer products, and relate relate modeling risk specifications back to the business. You will dive into the underlying mechanics of the specific problems and translate complex concepts into program enhancements and specifications to Technology for development. Communicate complex problems and solutions to senior management and LOB.

                                                                +

                                                                +

                                                                Additionally, you will support the Senior Director, Treasury Analytics to conduct analysis to maintain analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options. You will assist in developing business requirements and conduct QA testing of Treasury systems and assist in applying advanced statistical models and financial engineering techniques to quantify and ensure minimal consumer behaviour risk. You will also assist in implementing and applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation to interpret and explain any resulting output.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
                                                                • -
                                                                • Review and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
                                                                • -
                                                                • Monitor, track and assess Line of Business (LOB) adherence to Enterprise Data Policies and Standards
                                                                • -
                                                                • Support governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality management and data retention and disposition
                                                                • -
                                                                • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs / policies / practices
                                                                • -
                                                                • Deliver training, tools, and advice to support the governance and oversight of data
                                                                • -
                                                                • Coordinate and partner with other control partners to support LOB implementation and execution of data governance requirements and associated controls to mitigate data risk
                                                                • -
                                                                • Understand trends, identify issues and opportunities, and recommend action to management
                                                                • -
                                                                • Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality; escalate issues where appropriate
                                                                • -
                                                                • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                • -
                                                                • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB
                                                                • +
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities, and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms/measures and mitigate model risk.

                                                                • +
                                                                • Support the management and enhancement of Cash-Flow Modeling Books - Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhance PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • +
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedgeable risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain and develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • +
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • +
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Who You Are

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Five (5) or more years relevant experience
                                                                • -
                                                                • Solid understanding of data governance principles and an understanding of data risk and data management
                                                                • -
                                                                • Solid understanding of data structures and data flows
                                                                • -
                                                                • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently and proactively
                                                                • -
                                                                • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
                                                                • -
                                                                • Proficient in Microsoft Suite of products (Office 365, Excel, PowerPoint, Word, Outlook)
                                                                • -
                                                                • Experience working with JIRA and Confluence is considered an asset
                                                                • -
                                                                • Problem solving capabilities are required along with a strong focus on attention to detail
                                                                • -
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members, and build positive relationships across teams and functions
                                                                • +
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • +
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • +
                                                                • You can demonstrate experience. In ALM, Product Analytics, Risk Management. Experience in quantitative analytics within banking and/or other financial institutions in areas of valuation, hedging and risk measurement is an asset. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high level languages. Experience working with banking retail products such as commitments, mortgages or GICs is an asset.

                                                                • +
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have knowledge of advanced GLM (including Cox regression), panel time series, and model selection.

                                                                • +
                                                                • You have a degree/diploma. Masters and/or Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics or related technical field with work experience in applied mathematical, statistical, and/or stochastic modeling.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • +
                                                                +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/190518303-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5b1866aa-d5dc-4f00-bb89-a36a4c0252fb,192003386,TELUS,Data Scientist - Wireless Network Performance,on_site,"Ontario, Canada",2023-02-02T17:42:02.077Z,"
                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-161 Bay St 11th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Asset and Liability Management (ALM), Communication, Critical Thinking, Fixed Income Valuation, Hedging, Product Analytics, Python, Quantitative Analytics, Risk Management, Structured Query Language (SQL), Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-161-Bay-St-11th-Floor/Director--Treasury-Analytics_2301981?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-11T20:44:30.867Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/194548082-director-treasury-analytics-at-cibc,,expired,2023-02-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +615d60a2-735f-4baf-aaf6-62dedd158d2d,194550482,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-02-09T17:12:03.155Z,"
                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                                                +

                                                                +

                                                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                                                +
                                                                  +
                                                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • +
                                                                • Focus may be on a business/group.

                                                                • +
                                                                • Thinks creatively and proposes new solutions.

                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • +
                                                                • Works mostly independently.

                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                • +
                                                                +

                                                                +

                                                                Qualifications:

                                                                +
                                                                  +
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                                                • +
                                                                • Experience in working with and linking big data sets across multiple sources.

                                                                • +
                                                                • Proficient in Microsoft Office.

                                                                • +
                                                                • Strong analytical and problem-solving skills.

                                                                • +
                                                                • Strong business communication and stakeholder management skills.

                                                                • +
                                                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-11T20:49:01.630Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/194550482-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c7a3298c-5053-4f76-838a-971dc19b5a5b,194555551,Magna International,Compliance Analyst,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-02-09T17:39:02.705Z,"
                                                                -

                                                                +

                                                                Role Summary

                                                                -

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                There’s a lot of buzz around the next leaps in wireless network optimization, leveraging data science, big data and machine learning. Join a team that is re-thinking how we optimize our wireless network by blending wireless engineering, computational analysis, and programming. At TELUS, with over 9 million subscribers, there’s a lot of data being generated from our network, and with this lies untapped potential for data mining and advanced insights towards improving our customers’ wireless experience.

                                                                -

                                                                As a Data Scientist and member of Eastern Canada\'s wireless network performance team, you\'ll play a critical role in the optimization of the Radio Access Network (RAN) by developing automation policies and algorithms, workflow and data processing services and finding new angles/methods to improve network performance, efficiently. You\'ll join the larger Wireless Networks & Services DevOps team that is providing TELUS customers with the most reliable network and the best user experience in every region of the country.

                                                                +

                                                                Think big. Empowering each to act with confidence.

                                                                +

                                                                Take responsibility. Taking accountability for ourselves and others in our actions and commitments.

                                                                +

                                                                Never settle. Constantly innovating, improving and asking the right questions

                                                                +

                                                                Be collaborative. We do our best when we do it together, with respect and humility.

                                                                -

                                                                In our team, you\'ll ensure our customers\' wireless experience continuously improves. Your ""think outside of the box"" and innovation will help shape our Key Performance Indicators (KPIs) that we use to govern our customers\' wireless experience. Your data science and automation mindset will provide inputs to our team to improve the quality and efficiency of the way we do network performance engineering.

                                                                +

                                                                Consistent with our core values, the Compliance Analyst will posses a positive, energetic and professional disposition, be hightly adaptable and results-oriented with a meticulous attention to detail. The position is located in Aurora, Ontario.

                                                                -

                                                                +

                                                                Key Responsibilities

                                                                -

                                                                What you’ll do

                                                                -
                                                                  -
                                                                • Use data to:
                                                                    -
                                                                  • discover opportunities to improve our processes
                                                                  • -
                                                                  • enhance our decision-making ability
                                                                  • +

                                                                    Data Management and Analytics

                                                                    +

                                                                    +
                                                                    • Build and develop complex reports using database management systems
                                                                    • Deliver recommendations to support business decision-making by the identification and interpretation of risk, trends and opportunities for continuous improvement.
                                                                    • Identify opportunities for process improvement (e.g. improvements to data management tools)
                                                                    • Collaborate closely with stakeholders to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
                                                                    • Connect and build pipelines between various data sources
                                                                    • Lead for identifying and interpreting trends as it relates to compliance metric results and benchmarking
                                                                    • Leading Power BI/Power Automate software development, deployment, and maintenance
                                                                    • Documenting contents in a data warehouse and meta-data storage
                                                                    • Creating technical documentation and user guides for BI tools and other processes
                                                                    • Develop, maintain, and improve KPI dashboards in Power BI to ensure data integrity and accuracy
                                                                    - -
                                                                  • Explore data to:
                                                                      -
                                                                    • design innovative predictive models and metrics
                                                                    • -
                                                                    • develop dashboards to uncover actionable insights
                                                                    • +

                                                                      +

                                                                      Learning Management System (LMS) & Workday

                                                                      +

                                                                      +
                                                                      • LMS Subject Matter Expert - responsible for the implementation and deployment of all e-learning courses, creating course assignment profiles, and reporting
                                                                      • Workday - managing global compliance targets in Workday and ensuring that logic and formulas are accurate for proper course assignments
                                                                      • Collaborate and support Subject Matter Experts with respect to global training records including assignments, tracking, reporting and monitoring
                                                                      - -
                                                                    • Lead the development, validation, and deployment of AI/ML models and bring these to production
                                                                    • -
                                                                    • You’ll be exposed to the latest wireless technology innovation planned for TELUS, and be ready to support their launch from a performance management perspective
                                                                    • +

                                                                      +

                                                                      Projects & Key Initiatives

                                                                      +

                                                                      +
                                                                      • Provide support for global projects
                                                                      • Other duties as assigned
                                                                -

                                                                +

                                                                Key Qualifications/Requirements

                                                                -

                                                                What you bring

                                                                -
                                                                  -
                                                                • A passion for how data can be used to uncover new insights, solve problems and drive effective actions
                                                                • -
                                                                • A strategic thinking and a bias for action and driving change
                                                                • -
                                                                • Curious and creative in looking at metrics to identify new critical metrics for the team
                                                                • -
                                                                • Master visualizations and be able to explain complex topics to non-technical audiences
                                                                • -
                                                                • You value deploying Machine Learning and AI solutions for problems solving
                                                                • -
                                                                • You are a strong software developer, you regularly and primarily develop in Python
                                                                • -
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • -
                                                                • Minimum of 3+ years of working with large data sets and analyzing data to identify patterns and in writing and testing code proficiently
                                                                • +

                                                                  Knowledge and Education

                                                                  +

                                                                  +
                                                                  • University Degree or College Diploma required (Data Analytics, Business Analytics, Managing Data & Information or other relevant fields)

                                                                  -

                                                                  Great-to-haves

                                                                  +

                                                                  Work Experience

                                                                  -
                                                                    -
                                                                  • Google Cloud Platform and tools knowledge
                                                                  • -
                                                                  • Bachelor degree in Computer Science or Engineering or equivalent, or equivalent education and/or experience
                                                                  • +
                                                                    • 2+ years of practical experience in a corporate environment, preferably a multinational company
                                                                    • Proven record in identifying process issues and scoping possible solutions
                                                                    • +
                                                                    +

                                                                    +

                                                                    Skills and Competencies

                                                                    +

                                                                    +
                                                                    • Technologically proficient: Office 365 (Word, Excel, PowerPoint, SharePoint, MS Project, TEAMS), and ability to learn new software
                                                                    • Experience managing complex databases and dashboards
                                                                    • Basic understanding of Power Automate
                                                                    • Self-motivated with a desire and eagerness to learn
                                                                    • Excellent analytical and problem-solving skills
                                                                    • Proactive approach to improving processes
                                                                    • Able to work independently without supervision
                                                                    • Meticulous attention to detail
                                                                    • Strong organizational skills and ability to prioritize multiple priorities
                                                                    • Effective written and oral communication
                                                                    • Experience with Power BI would be an asset

                                                                    +

                                                                    Work Environment

                                                                    +
                                                                    • This position takes place in a standard work environment
                                                                    • Hybrid working environment
                                                                    • No regular travel required
                                                                    • +
                                                                -
                                                                ",,https://careers.telus.com/job/Scarborough-Data-Scientist-Wireless-Network-Performance-ON/567290117/,feed-importer@jobboard.io,,,,2023-02-27T20:39:00.000Z,False,0,18,58,https://talenthub.vectorinstitute.ai/jobs/192003386-data-scientist-wireless-network-performance-at-telus,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -ca804364-4056-4004-8a34-92f321c2abfa,198034043,TD Bank Group,BI Specialist,on_site,"Toronto, ON",2023-02-20T17:24:06.069Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                +

                                                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                +

                                                                +

                                                                Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                                                +
                                                                +
                                                                ",,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-03-11T21:11:43.890Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/194555551-compliance-analyst-at-magna-international,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/,expired,2023-02-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, +da505978-e185-4c27-864f-23283cdec141,203166955,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-03-09T17:06:04.050Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                Department Overview

                                                                -

                                                                The Treasury and Balance Sheet Management (TBSM) department of TD Bank is responsible for measurement and management of the bank’s domestic and foreign subsidiary banking portfolio. TBSM looks after liquidity and funding management, cash management, investment strategy, capital management, funds transfer pricing, and market risk management.
                                                                The Market Risk Measurement and Analytics (MRMA) team within TBSM is responsible for measuring and reporting the interest rate, equity, and foreign exchange risks for TD non-trading portfolio. The mandates include:
                                                                • Producing risk measurement reporting focused on understanding current market risk exposure and risk limits.
                                                                • Performing analytics to deepen our understanding or market risk and provide valuable insight & recommendations for management decisions.
                                                                • Putting in place best-in-class governance processes to ensure accuracy of results.
                                                                • Ensuring that our people have the right skills to deliver best-in-class analytics and ALM modeling.
                                                                • Effectively communicating our results and insights to our stakeholders.
                                                                • Building a best-in-class risk analytics infrastructure.

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                Job Description

                                                                -

                                                                The Manager will monitor the bank’s FX risk position against approved limits, and proactively provide insight and recommendations to ensure the known significant events are hedged on a timely basis through stable reporting output. Furthermore, the Manager will proactively explain changes in risk measures with reference to hedging books and strategies.
                                                                Key Responsibilities Include:
                                                                • Support key stakeholders by performing market risk analytics to provide value-add guidance.
                                                                • Review current processes and pro-actively make changes or propose initiatives to improve efficiencies to provide more effective business support.
                                                                • Support the team through various initiatives
                                                                • Foster and maintain effective working relationships with business partners
                                                                • Understand and comply with TD Policies, regulatory and compliance requirements

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Competencies and Personal Qualities:
                                                                • Excellent communication and presentation skills. Ability to leverage visualization tools, such as Tableau, to explain complicated concept in a clear and concise manner to senior and executive level audiences.
                                                                • Self-starter with a proven ability to meet deadlines, own initiatives, and work effectively under minimum supervision.
                                                                • Strong conceptual, analytical, and problem-solving capabilities. An ideal candidate is self-driven individual with a strong sense of curiosity, able to assess potential drivers and resolutions when issues rise.
                                                                • Able to multitask while maintaining attention to detail with tight timelines.
                                                                • Quick to learn and apply new concepts
                                                                • Excellent interpersonal skills; team player

                                                                -

                                                                Experience:
                                                                • 5 years financial service or consulting practice experience in the areas of Asset Liability Management, risk management accounting and/or finance.
                                                                • Superior understanding of the bank’s accounting principles and system.
                                                                • Superior understanding of FX hedging instruments including derivatives.
                                                                • Solid knowledge of retail banking product features and characteristics.
                                                                • Proficient with computer tools (SQL, Tableau) for data query, visualization and analytics.

                                                                -

                                                                Additional Information
                                                                Specific Educational Requirements/Accreditations:
                                                                • Post-secondary degree in Finance, Math, Business, or Economics
                                                                • MBA, CFA, FRM, CA, and/or CMA considered assets

                                                                -
                                                                +

                                                                Job Description

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                What you\'ll be doing

                                                                +

                                                                You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends.

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                How you\'ll succeed

                                                                +
                                                                  +
                                                                • +Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                                                                • +
                                                                • +Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                                                                • +
                                                                • +Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                                                                • +

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-27T20:39:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/198034043-bi-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, -9afd2875-27b9-49fd-bb0c-4bfaac65a220,196079108,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2023-02-13T17:41:03.730Z,"
                                                                +

                                                                Who you are

                                                                +
                                                                  +
                                                                • +You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                                                • +
                                                                • +Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                                                                • +
                                                                • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                                • +
                                                                • +You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                                                                • +
                                                                • +You can demonstrate experience in: Proven experience in architecting, design and deploying Azure data solution with Azure Data Factory, Azure Synapse, Data Lake, Azure SQL or other Azure data service. Experience designing and developing data flows on Azure Data Factory or Azure Synapse leveraging a data lake ELT approach.
                                                                • +
                                                                • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                                                                • +
                                                                • Perform requirements analysis, design, and prototyping for data solutions.
                                                                • +
                                                                • Provide oversight and guidance to platform, data, BI and development team.
                                                                • +
                                                                • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                                                                • +
                                                                • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                                                                • +
                                                                • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                                                                • +
                                                                • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                                                                • +
                                                                • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                                                                • +
                                                                • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                                                                • +
                                                                • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. +
                                                                • +
                                                                • +Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                                                                • +
                                                                • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                                                • +
                                                                +

                                                                +

                                                                What CIBC offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                                • +
                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                CIBC Square Banking Centre

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Azure App Service, Azure Cloud Services, Azure Expressroute, Azure Kubernetes Service (AKS), Azure Policy, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Storage, Microsoft Azure Synapse Analytics, Solutions Development
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-13T17:11:03.064Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/203166955-sr-consultant-application-development-at-cibc,,expired,2023-03-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +1a015403-a580-4d1c-9dc4-19bb94ef9a86,196076538,BMO Financial Group,Intermediate ETL Developer,on_site,"Ontario, Canada",2023-02-13T17:12:02.158Z,"
                                                                +

                                                                Address:

                                                                2465 Argentia Rd

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                #BPTNTechTalk

                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +
                                                                  +
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.

                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.

                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.Qualifications:

                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to ETL, SQL, SAS, Spotfire, Tableau, R, Python, MATLAB, SPSS - Very good.

                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.

                                                                • +
                                                                • Verbal & written communication skills - In-depth.

                                                                • +
                                                                • Collaboration & team skills - In-depth.

                                                                • +
                                                                • Analytical and problem solving skills - In-depth.

                                                                • +
                                                                • Influence skills - In-depth.

                                                                • +
                                                                • Data driven decision making - In-depth.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Mississauga-ON-CAN/Intermediate-ETL-Developer_R230002295?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-13T17:17:03.072Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/196076538-intermediate-etl-developer-at-bmo-financial-group,,expired,2023-02-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +36363541-0aef-468a-9733-db5841938f92,202115579,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2023-03-06T17:41:01.389Z,"

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                @@ -52533,81 +52009,240 @@ ca804364-4056-4004-8a34-92f321c2abfa,198034043,TD Bank Group,BI Specialist,on_si

                                                                Salary Range:

                                                                58,700/58 700 - 93,900/93 900

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                26/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00075554?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-27T17:46:07.589Z,False,0,28,173,https://talenthub.vectorinstitute.ai/jobs/196079108-data-scientist-at-sun-life-financial,,expired,2023-02-13T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c7dc7a63-8809-4736-8c5d-32929a17a182,194556483,CN,Manager Data Analytics Service,on_site,"Ontario, Canada",2023-02-09T17:42:04.956Z,"
                                                                +

                                                                Posting End Date:

                                                                12/03/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00075554?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-13T17:46:03.517Z,False,0,16,44,https://talenthub.vectorinstitute.ai/jobs/202115579-data-scientist-at-sun-life-financial,,expired,2023-03-06T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a25e9a12-086a-443a-ad04-4a6a43a80f76,200118259,Shopify Inc.,Senior Data Analyst - Communications and Public Affairs,on_site,"Ontario, Canada",2023-02-27T17:42:10.547Z,"

                                                                About the role

                                                                +

                                                                The Communications Data team owns data initiatives related to ​​the Comms mission: sharing the what - the primary messages we want the world to understand, and the how - the ways in which we share our story with the world. Comms positions Shopify as a technology leader that is pulling the future forward, and they storytell using data-informed statistics and insights. As a company we are doing incredible things for our merchants and data helps us tell this story to the world [see how this Shopify merchant created 14,000 jobs in India.].

                                                                +

                                                                Reporting to Data Science, Shopify is hiring a data analyst with a storytelling archetype. This team member will craft the data behind our stories to make them impactful and trustworthy to audiences worldwide. The work includes contributing vetted data to stories that will be shared publicly with media, government, and the world through Shopify’s website. The team collaborates with data teams across Shopify to empower Communications with knowledge from data domain experts. Our mandate is challenging, varied and constantly evolving.

                                                                +

                                                                The analyst will leverage their expertise in data querying and manipulation to create analyses and data products that answer complex business questions and enable decision-making. This data will shape how Comms and Public Relations view and position Shopify’s impact on the global economy and community. This individual will be aligned with Data Science and have Comms and Public Affairs as its primary stakeholder.

                                                                +

                                                                Responsibilities:

                                                                +
                                                                  +
                                                                • Identify opportunities to increase the impact of Shopify storytelling with data
                                                                • +
                                                                • Generate high-impact insights that tell Shopify’s story to the world
                                                                • +
                                                                • Work within Data Science and Comms teams to enable improved discovery of vetted data points
                                                                • +
                                                                • Lead and own work
                                                                • +
                                                                • Become an expert at navigating Shopify data to answer business questions
                                                                • +

                                                                -
                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                -

                                                                -
                                                                Job Summary
                                                                -

                                                                The Manager, Data Analytics Service is responsible for developing a team specialized in data analytics, and collaborating with other data services teams (e.g., self-service analytics, data science, data ops, data governance, etc.). The role handles the delivery of Data Analytics solutions including the intake of data analytics requests, data readiness assessment, prioritization, resources capacity, delivery planning and budget monitoring. Moreover, the position contributes to the continuous improvement of data-related processes, of best practices and standards through Centers of Excellence (CoEs) and Communities of Practise (CoPs).

                                                                -

                                                                -
                                                                Main Responsibilities
                                                                -

                                                                -
                                                                -

                                                                Leadership

                                                                · Focus on communications and foster collaboration by regularly providing updates to teams about ongoing initiatives and encouraging teams to work together to accomplish common goals and learning

                                                                · Provide a positive onboarding experience to new employees by ensuring they have access to the tools and resources needed to fulfill the job requirements

                                                                · Recognize employee milestones as well as significant contributions and enhanced responsibilities

                                                                · Handle employee performance by ensuring employees who are not meeting expectations are identified and supported through the improvement process

                                                                · Partner with Human Resources (HR) to bring new talent to the organization by resolving which skills and roles will be required in the future and by making thoughtful hiring decisions

                                                                · Participate in succession planning by contributing to the yearly talent review cycle and identifying employees with the potential to move up the management and expertise paths

                                                                · Create and enable a positive and engaging work environment by ensuring individual strengths are uncovered and leveraged through frequent and focused conversations

                                                                · Ensure knowledge is preserved through cross-training for key skill sets in the team

                                                                · Support employee development by regular conversations to reach their career goals

                                                                · Conduct routine performance reviews with staff

                                                                Delivery

                                                                · Lead team for the delivery and development of data analytics solutions with supportability in mind

                                                                · Enable delivery and release management process to let self-service users operationalize their solutions in an efficient manner

                                                                · Handle a collection of data analytics capabilities with controlled financial performance while meeting scope, budget, and timeline requirements

                                                                · Lead agile processes development and adoption with influence for continuous improvement over centralized project management practices

                                                                · Maintain the relationship and work model with vendors, including evaluation of their efficiency

                                                                Data Strategy and Continuous Improvement

                                                                · Influence and collaborate with Data Science and Analytics team leaders to define data strategies, alignment, and execution

                                                                · Contribute to data related CoEs and CoPs

                                                                · Continue training and benchmarking for sustained intellectual leadership over elite data innovations and practices

                                                                · Contribute to leadership by various data capabilities roadmaps as Data Lake, Data Warehouse and other data-related capabilities

                                                                Customer Experience

                                                                · Lead a team to customer-driven leadership and cultural enablement

                                                                · Devise improved future states, establishing, and executing the change management strategy, including the communication plan

                                                                · Align the customer’s roadmaps with data platforms and operational data pipelines planning delivery and lifecycles

                                                                · Seek customer feedback to understand and improve customer satisfaction

                                                                · Lead and organize a proper support structure to data capabilities clients for sustained business Service Level Agreements (SLAs) and increasing data practices adoption

                                                                · Continue to improve data capabilities based on customers’ feedback as Key Performance Indicators (KPI) metrics and Multifactor Analysis (MFA) surveys

                                                                Working Conditions

                                                                The role works in a standard office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (10%) within Canada and the United States (U.S.).

                                                                -

                                                                Experience

                                                                -

                                                                Analytics, Self-Service, and Data Sciences

                                                                -

                                                                · Minimum 15 years of overall work experience

                                                                -

                                                                o Minimum 10 years of experience in analytics, self-service practices, and data sciences

                                                                -

                                                                o Minimum 5 years demonstrating leadership qualities or overseeing deliverables

                                                                -

                                                                Education/Certification/Designation

                                                                -

                                                                · Bachelor\'s Degree in Computer Science or equivalent degree or work experience

                                                                -

                                                                Competencies

                                                                -

                                                                · Sets goals that are consistent with CN\'s plan and takes responsibility for achieving results

                                                                -

                                                                · Shares timely information within and across functions to get things done effectively

                                                                -

                                                                · Demonstrates analytical thinking and a broad vision when making decisions

                                                                -

                                                                · Addresses risks in a timely manner to eliminate them

                                                                -

                                                                · Innovates through problem solving

                                                                -

                                                                · Possess organizational, time-management and prioritizing competencies

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                -

                                                                · Demonstrates good judgment in decision making and makes difficult and timely decisions

                                                                -

                                                                · Prioritize individual development and continuous learning

                                                                -

                                                                · Deals with pressure and change by staying calm to quickly adapt to changes

                                                                -

                                                                · Builds a relationship with clients and provides valuable services

                                                                -

                                                                Technical Skills/Knowledge

                                                                -

                                                                · Advanced skills and knowledge of analytical data platforms, data architecture, data management and governance

                                                                -

                                                                · Strong understanding of modern agile practices in the context of project management

                                                                -

                                                                -

                                                                · In-depth understanding and knowledge of data capabilities as data lakes, data warehouses, data integration, data management and data governance

                                                                -

                                                                Employees Supervised/Organizational Structure

                                                                -

                                                                -

                                                                The Manager for Data Analytics Service reports to the Senior Manager, Analytics,
                                                                Self-Service and Data Science. The role requires the direct supervision of 8 to 10 non-unionized employees.

                                                                +

                                                                Qualifications

                                                                +
                                                                  +
                                                                • Expertise in telling a story with data in order to guide conversations, persuade your audience, and influence decision makers
                                                                • +
                                                                • +Extensive knowledge of SQL for data extraction and manipulation and proficiency with Python (Git helpful)
                                                                • +
                                                                • Experience with BI, visualization or data analysis tools such as Mode, Tableau, Looker
                                                                • +
                                                                • Excellent interpersonal and collaboration skills - you are able to work effectively with a diverse group of technical and non-technical stakeholders at all levels of the organization
                                                                • +
                                                                • Excellent verbal and written communication skills
                                                                • +
                                                                • High attention to detail, but an equally important ability to see the big picture and evaluate analyses with strategic business context
                                                                • +
                                                                • Good time management and organizational skills - ability to manage multiple priorities and timelines and address challenges in a collaborative team environment
                                                                • +
                                                                • Endless curiosity and an ability to think outside of the box
                                                                • +
                                                                +

                                                                All your information will be kept confidential according to EEO guidelines.

                                                                ",,https://www.shopify.com/ca/careers/senior-data-analyst-communications-and-public-affairs-remote-americas_74664d0b-9fea-4bb7-9ff8-e2e2ea59093b,feed-importer@jobboard.io,,,,2023-03-13T17:47:05.067Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/200118259-senior-data-analyst-communications-and-public-affairs-at-shopify-inc,,expired,2023-02-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +43fe2c54-7ddb-4d2b-a1ef-a46b8584c81f,204198797,CIBC,"Director, Treasury Analytics",on_site,"Ontario, Canada",2023-03-12T17:06:02.969Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll be Doing

                                                                +

                                                                +

                                                                This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates. As the Director, Treasury Analytics will drive insights, identify inherent risk drivers of consumer products, and relate relate modeling risk specifications back to the business. You will dive into the underlying mechanics of the specific problems and translate complex concepts into program enhancements and specifications to Technology for development. Communicate complex problems and solutions to senior management and LOB.

                                                                +

                                                                +

                                                                Additionally, you will support the Senior Director, Treasury Analytics to conduct analysis to maintain analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options. You will assist in developing business requirements and conduct QA testing of Treasury systems and assist in applying advanced statistical models and financial engineering techniques to quantify and ensure minimal consumer behaviour risk. You will also assist in implementing and applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation to interpret and explain any resulting output.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                +
                                                                  +
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities, and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms/measures and mitigate model risk.

                                                                • +
                                                                • Support the management and enhancement of Cash-Flow Modeling Books - Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhance PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • +
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedgeable risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain and develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • +
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • +
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • +
                                                                +

                                                                +

                                                                Who You Are

                                                                +
                                                                  +
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • +
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • +
                                                                • You can demonstrate experience. In ALM, Product Analytics, Risk Management. Experience in quantitative analytics within banking and/or other financial institutions in areas of valuation, hedging and risk measurement is an asset. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high level languages. Experience working with banking retail products such as commitments, mortgages or GICs is an asset.

                                                                • +
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have knowledge of advanced GLM (including Cox regression), panel time series, and model selection.

                                                                • +
                                                                • You have a degree/diploma. Masters and/or Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics or related technical field with work experience in applied mathematical, statistical, and/or stochastic modeling.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • +
                                                                +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-161 Bay St 11th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Asset and Liability Management (ALM), Communication, Critical Thinking, Fixed Income Valuation, Hedging, Product Analytics, Python, Quantitative Analytics, Risk Management, Structured Query Language (SQL), Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-161-Bay-St-11th-Floor/Director--Treasury-Analytics_2301981?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-13T21:20:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/204198797-director-treasury-analytics-at-cibc,,expired,2023-03-12T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +7ddc13dc-a839-483d-b42b-80dbba9089b0,197102904,University of Toronto,Research and Business Development Officer,on_site,"Toronto, ON, Canada",2023-02-16T17:21:56.276Z,"

                                                                About us: The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and46 interdisciplinary centres, institutes and programs. We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

                                                                +

                                                                Established in 1964, the Department of Computer Science is ranked among the top computer science departments in the world. Our faculty have been presented with a wide variety of honours and awards over the years, including two Turing Awards, and many other national and international honours. We provide diverse programs and research opportunities while consistently producing high-impact research that is among the most highly cited in computer science.

                                                                +

                                                                Your opportunity: Reporting to the Associate Director, MScAC Partnerships, the incumbent will focus on strategic business development and cultivate lasting industrial relationships. The Research and Business Development Officer will coordinate with internal units, including the University's Innovations & Partnerships Office, and will help drive commercialization initiatives and develop collaborative research projects through research internship opportunities. This is a critical outward and inward facing role at the senior staff level.

                                                                +

                                                                Your responsibilities will include:

                                                                +
                                                                  +
                                                                • Developing and implementing plans to support areas of research relevant to industry needs that are consistent with the University’s academic mission
                                                                • +
                                                                • Developing and implementing strategies to maximize the economic and social impact of commercialization partnerships
                                                                • +
                                                                • Writing grant and investment proposals to acquire proof of concept and product development funding
                                                                • +
                                                                • Using formal negotiation skills to settle the financial and business terms of all commercialization agreements
                                                                • +
                                                                • Identifying, developing and executing strategies for research and development collaborations
                                                                • +
                                                                • Serving as a resource on specific issues to a group of specialists
                                                                • +
                                                                • Developing project schedules including milestones, critical path, timelines, deliverables and reporting
                                                                • +
                                                                • Forecasting, planning and monitoring multiple complex budgets
                                                                • +
                                                                +

                                                                Essential Qualifications

                                                                +
                                                                  +
                                                                • Master's Degree in Computer Science
                                                                • +
                                                                • Six to seven years of recent and related experience in industrial and academic research setting related to computer science, statistics and mathematics, undertaking both hands-on research & business development (R&D) and formulation of industry-based research projects, with experience managing and promoting professional graduate programs
                                                                • +
                                                                • Experience working with and supporting graduate students, preferably through internship cycles
                                                                • +
                                                                • Experience managing program budgets
                                                                • +
                                                                • Experience writing documents (such as complex business contracts, grant and investment proposals) and compiling statistical reports
                                                                • +
                                                                • Experience in assessing, formulating, and articulating a business case for partnering on high-quality academic-industry research and development problems
                                                                • +
                                                                • Excellent problem solving, decision making and facilitation skills
                                                                • +
                                                                • Excellent interpersonal skills to build consensus, employ multiple approaches and manage the conflicting expectations of multiple stakeholders
                                                                • +
                                                                • Excellent communication and presentation skills
                                                                • +
                                                                • Excellent research skills
                                                                • +
                                                                • Excellent organizational and time management skills
                                                                • +
                                                                • Ability to exercise discretion and tact
                                                                • +
                                                                • Ability to build relationships with a pleasant and professional demeanor
                                                                • +
                                                                • Ability to work independently and in a team setting
                                                                • +
                                                                • Experience with industry- academic governmental funding programs such as through Mitacs, NSERC, and OCI
                                                                • +
                                                                +

                                                                Assets:

                                                                +

                                                                Visit the following link to view the full posting and submit your application for consideration: https://jobs.utoronto.ca/job/Research-and-Business-Development-Officer/567853817/

                                                                +

                                                                Closing Date: 03/09/2023, 11:59PM ET
                                                                Employee Group: USW
                                                                Appointment Type: Budget - Continuing
                                                                Schedule: Full-Time
                                                                Pay Scale Group & Hiring Zone:
                                                                USW Pay Band 19 – $109,343 with an annual step progression to a maximum of $139,826. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
                                                                Job Category:
                                                                Research Administration & Teaching

                                                                +

                                                                Lived Experience Statement

                                                                +

                                                                Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

                                                                +

                                                                ",,https://jobs.utoronto.ca/job/Research-and-Business-Development-Officer/567853817/,daniel.giovannini@utoronto.ca,http://www.utoronto.ca,,,2023-03-13T21:19:00.000Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/197102904-research-and-business-development-officer-at-university-of-toronto,,expired,2023-02-16T17:21:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Education,Mid-Senior Level,Masters Degree,Re-Posting an Expired Job, +90fd8a0e-e84a-42d2-8af9-43c3adcef396,198987548,TD Bank Group,Manager Data Steward,on_site,"Toronto, ON",2023-02-23T17:24:04.885Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                Can you lead and inspire a team of data professionals varying in size and complexity? This people manager role is responsible for the direction of day-to-day data governance and data management activities, for a key function or line of business.

                                                                +

                                                                Are you ready to take a team of high-performers even higher? As the leader and manager of your team, you enjoy growing group dynamics and expertise to align with business and enterprise demands and direction. You set the bar high and set yourself apart as a leader by continually looking for ways to provide, and enhance, the value of your team and their satisfaction on the job, including assessing and developing both individual and team skills and capabilities. You’ll succeed and inspire your team to do the same with your deep knowledge and understanding of businesses, technology and organizational practices and disciplines.

                                                                +

                                                                As a Manager, Data Steward, you will:

                                                                +
                                                                  +
                                                                • Provide people management leadership by hiring the best talent, setting goals, developing employees, managing performance and stimulating teamwork
                                                                • +
                                                                • Lead and manage a team of data experts and overall operation of a diverse group in an area of moderate risk, complexity and scope
                                                                • +
                                                                • Lead the team in the development and integrated implementation of policies, processes, procedures, projects and changes across multiple functions
                                                                • +
                                                                • Help build and deploy the strategic direction of the data governance/management function within your line of business
                                                                • +
                                                                • Act as a strategic partner by leading relationships with key enterprise partners and with leadership team to clarify scope, align, influence and effectively manage assigned data governance / management area
                                                                • +
                                                                • In particular, partner closely with Technology and other SMEs to drive the successful implementation of the LOBs Data Strategy for data initiatives up to medium complexity
                                                                • +
                                                                • Manage the overall data governance and / or data management team or function for a key business which may include Data Governance and / or Data Management roles
                                                                • +
                                                                • Grow talent, by developing skills and capabilities in line with evolving trends in the data governance space, to help achieve team member career goals, support project success and achieve business results
                                                                • +
                                                                • Complete key courses for the EDS capabilities within the EDU, including annual Mastery Testing
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                • +
                                                                • Ability to stay on top of emerging issues, trends and risks, including evolving regulatory requirements
                                                                • +
                                                                • Skill in using software tools, applications, data analysis methods
                                                                • +
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                                                • +
                                                                -

                                                                -
                                                                About CN
                                                                -

                                                                -
                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                -

                                                                -
                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17850956/manager-data-steward-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-13T21:19:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/198987548-manager-data-steward-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17850956/manager-data-steward-toronto-ca/,expired,2023-02-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +23736635-d039-456f-9d92-e38b0ddb0fe3,177064525,Bell Canada,Data Analyst,on_site,"Toronto, Ontario",2022-12-13T17:21:05.848Z,"

                                                                Req Id: 406647

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10126?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-02-27T17:47:12.278Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/194556483-manager-data-analytics-service-at-cn,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c5d51f7a-11a3-45b3-9ad1-b34e42706c28,189567851,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.084Z,"
                                                                -
                                                                -2022-12-07T11:18:47.798Z
                                                                -
                                                                  +

                                                                  If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                  +

                                                                  Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                                                  +

                                                                  +
                                                                  +
                                                                  +

                                                                  +
                                                                  +
                                                                  +

                                                                  Position Description:
                                                                  Bell Field Services Operational Support team is a dynamic team where our main goal is to ensure we are delivering customer support to Canadians. The team works in a highly complex space involving many system interactions with dozens of internal teams to manage those interactions. Day-to-day, you’ll collect data & develop opportunities that will drive the future direction of the operations team and help to streamline the complex business problems they face. You will use your analytical skills to improve the understanding of KPIs while working to improve their limitations. And your attention to detail will help you push projects and process changes forward even when there is incomplete data or resources. A successful candidate will gain exposure with many people across various levels at Bell.

                                                                  Job Duties/Accountabilities:
                                                                  • Code: create code to join various systems to translate raw data into meaningful stories
                                                                  • Analyze: perform extensive analysis to identify & size trends in performance
                                                                  • Create: think outside the box to deliver creative opportunities to the business
                                                                  • Collaborate: work with experts in different teams to understand end-to-end processes
                                                                  • Sell: build compelling business cases to convince our partners to invest in our proposals

                                                                  +

                                                                  Essential Skills & Abilities:
                                                                  • University or College degree in engineering, economy, computer sciences, physic, mathematics or relevant experience in equivalent domain
                                                                  • 1-3 years experience in business intelligence related functions (analysis, coding, etc.)
                                                                  • Proficient with MS Excel (pivot tables, functions, charting)
                                                                  • Knowledge of SQL and relational databases
                                                                  • Well-versed in applied statistics
                                                                  • Excellent communication skills and ability to quickly build straight-to-the-point presentation and deliver them with passion

                                                                  Preferred Qualifications/Competencies:
                                                                  • Experience in Microsoft Office applications, Excel, Powerpoint, Visio
                                                                  • Experience with SAS & Python
                                                                  • Experience with data visualization software such as PowerBI
                                                                  • Knowledge of process modelling & mining techniques

                                                                  +
                                                                  +
                                                                  +

                                                                  +

                                                                  #EmployeeReferralProgram

                                                                  +

                                                                  +

                                                                  Adequate knowledge of French is required for positions in Quebec.

                                                                  +

                                                                  +

                                                                  Additional Information:

                                                                  +

                                                                  Position Type: Management
                                                                  Job Status:
                                                                  Regular - Full Time
                                                                  Job Location:
                                                                  Canada : Ontario : Toronto
                                                                  Flexible work profile:
                                                                  Mobile
                                                                  Application Deadline: 01/06/2023

                                                                  +

                                                                  +

                                                                  All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                  +

                                                                  +

                                                                  Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                  +

                                                                  +

                                                                  At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                  +

                                                                  +

                                                                  Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                  +

                                                                  +

                                                                  Created: Canada, ON, Toronto

                                                                  +

                                                                  #Talent #Indeed #Tech

                                                                  +

                                                                  Bell, one of Canada's Top 100 Employers.

                                                                  ",,https://jobs.bell.ca/ca/en/job/BECACA406647EXTERNALENCA/Data-Analyst?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-12-16T17:26:04.344Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/177064525-data-analyst-at-bell-canada,BECACA406647EXTERNALENCA,expired,2022-12-13T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +ef0d1d5f-5a50-4f99-bf4f-d4d08d4fbe20,165148922,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2022-11-10T17:20:01.826Z,"
                                                                  +2022-12-07T11:08:03.892Z
                                                                  +
                                                                  • Share
                                                                  • -
                                                                    Save +
                                                                    Save
                                                                  • -

                                                                  Student Researcher, BS, 2023

                                                                    +

                                                                  Student Researcher, MS, 2023

                                                                  • Google
                                                                  • In-office:
                                                                    Waterloo, ON, Canada
                                                                  • + 2 more locations
                                                                  • -
                                                                  +

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                -

                                                                This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                +

                                                                This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

                                                                Qualifications

                                                                Minimum qualifications:

                                                                  -
                                                                • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  +
                                                                • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                • @@ -52625,1308 +52260,1541 @@ c5d51f7a-11a3-45b3-9ad1-b34e42706c28,189567851,Google,"Student Researcher, BS, 2
                                                                -
                                                                +

                                                                About the job

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                -
                                                                +

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:47:03.828Z,False,0,39,152,https://talenthub.vectorinstitute.ai/jobs/189567851-student-researcher-bs-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -5673ecab-a0d3-4a66-88ad-36828138d59d,189567844,Google,"Software Developer Intern, PhD, Summer 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:02.877Z,"
                                                                -
                                                                -2022-12-07T11:20:16.817Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Software Developer Intern, PhD, Summer 2023

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                • + 1 more location
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Please complete your application before February 24th, 2023.

                                                                -

                                                                Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                                -

                                                                This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2023, depending on their program and unique circumstances.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                                -
                                                                  -
                                                                • 1. In the “Resume Section:” attach an updated CV or resume.
                                                                • -
                                                                • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
                                                                • -
                                                                  • Under “Degree Status,” select “Now attending” to upload a transcript.
                                                                  -

                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Pursuing a PhD degree program in Computer Science, or related technical field.
                                                                • -
                                                                • Experience programming in one or more of the following: C/C++, Java, or Python.
                                                                  -
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently attending a degree program in Canada and available to work full time for a minimum of 12 weeks outside of university term time.
                                                                • -
                                                                • Returning to a degree program after completion of the internship.
                                                                • -
                                                                • Experience in computer science, with knowledge in data structures, algorithms, and software design.
                                                                  -
                                                                • -
                                                                • Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go, or similar.
                                                                  -
                                                                • -
                                                                • Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
                                                                  -
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

                                                                -

                                                                We offer a range of internships in either Software Engineering or Site-Reliability Engineering across North America, including the US and Canada. Our recruitment team will determine where you fit best based on your resume.

                                                                -

                                                                Software Developer Intern:
                                                                As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.

                                                                -

                                                                Site Reliability Intern:
                                                                Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts to building automation infrastructure.

                                                                -

                                                                Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology\'s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Create and support a productive and innovative team including working with peers, managers, and teams.
                                                                • -
                                                                • Develop scripts to automate routine tasks.
                                                                • -
                                                                • Analyze information and evaluate results to choose the best solution to effectively solve challenges.
                                                                • -
                                                                • Apply knowledge gained in computer science courses to real world challenges.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/127279592277713606-software-developer-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:45:39.510Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/189567844-software-developer-intern-phd-summer-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -6a0f29f9-ec6b-47aa-9602-3e4591b55773,189564538,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-01-23T17:14:02.034Z,"
                                                                -

                                                                Referred applicants should not apply directly to this role.

                                                                -

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                +
                                                                ",,"https://careers.google.com/jobs/results/97195329301947078-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2022-12-10T19:03:45.564Z,False,0,21,126,https://talenthub.vectorinstitute.ai/jobs/165148922-student-researcher-ms-2023-at-google,,expired,2022-11-10T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,Masters Degree,New Posting, +77098104-2c23-4465-b3e5-7700f1b21641,165049253,Nexxt Intelligence,NLP Application Developer,full,"Toronto, ON, Canada",2022-11-10T14:26:06.232Z,"

                                                                NLP Application Engineer

                                                                +

                                                                We are looking for a NLP Application Engineer to join our growing team to help grow inca, a conversational AI platform for consumer research. Interactive, data-centric, NLP-powered web applications form a key component of our product offering, and you will be working across our stack (Tailwind, React.js, Node.js, Python, AWS) to integrate exciting innovations in AI into delightful web applications, built using best practices and with robust data pipelines. This opportunity will allow you to work in an established startup, and to learn from an experienced team of software developers, market researchers, data analysts, and machine learning researchers.

                                                                +

                                                                What You’ll Be Working On:

                                                                +

                                                                These are some (but not all) of the ways that you will contribute to our team and product:

                                                                +
                                                                  +
                                                                1. Building engaging user interfaces designed for market researchers to accelerate and improve their workflows by leveraging state-of-the-art advances in AI.
                                                                2. +
                                                                3. Extending cloud-native data pipelines to achieve high-performance, highly-available, and robust processing of semi-structured data at scale..
                                                                4. +
                                                                5. Improving developer operations and infrastructure including CI/CD, automated testing, system monitoring, security and data protection compliance, etc.
                                                                6. +
                                                                7. Contributing to product ideation, user experience, NLP experimentation, and application architecture as a core technical member of our team.
                                                                8. +
                                                                +

                                                                +

                                                                Your Skills & Experience:

                                                                +

                                                                We look at candidates holistically, and will not rule out any applicant based on a lack of one specific skill set. These are some of the assets that a great candidate would bring:

                                                                +
                                                                  +
                                                                • 3+ years of professional full-stack experience in any stack
                                                                • +
                                                                • Expertise in some combination of Python, Node.js, or Typescript
                                                                • +
                                                                • Familiarity with Git, Docker and other development tools
                                                                • +
                                                                • Knowledge of SQL and/or noSQL databases
                                                                • +
                                                                • Experience and/or certification in cloud computing (AWS/GCP/Azure)
                                                                • +
                                                                • Proficiency in frontend development with intuitive sense of design (React.js preferred)
                                                                • +
                                                                • Keen interest in integrating AI capabilities into web applications
                                                                • +
                                                                • Real world experience building data-centric applications and/or pipelines
                                                                • +
                                                                +


                                                                Application:

                                                                +

                                                                This position is permanent full-time, and flexibly hybrid (primarily remote, with headquarters in Toronto). If you are interested, please send your CV and a brief email, explaining your interest and describing one or more projects that you’ve worked on, to jobs@nexxt.in.

                                                                +

                                                                We particularly encourage applications from groups underrepresented in the technology industry. Check out https://nexxt.in/about to learn more about our team and company culture!

                                                                ",jobs@nexxt.in,,josh@nexxt.in,https://nexxt.in,,,2022-12-10T16:55:00.000Z,False,4,0,124,https://talenthub.vectorinstitute.ai/jobs/165049253-nlp-application-developer-at-nexxt-intelligence,,expired,2022-11-10T14:26:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,Software,Mid-Senior Level,Bachelors Degree,New Posting, +4983feb7-7b86-4277-9b15-53fab75a2391,175020122,Scotiabank,Data Scientist - Customer Insights Data & Analytics - 7,on_site,Canada : Ontario : Toronto,2022-12-08T17:22:02.821Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 167822

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose:

                                                                +

                                                                +

                                                                The GBM Analytics team has been focused on building out a library of sophisticated models and the requisite infrastructure to enhance data-driven decision making across the bank, with a focus on businesses in Capital Markets and Group Treasury. Our team consists of highly accomplished business professionals who blend expertise in Mathematics, Computer science, Statistics, Capital markets and Treasury, to architect and deliver innovative technical solutions driving business value. Our work spans a broad technology stack involving the development of data pipelines, predictive models and data visualizations. We are seeking an enthusiastic professional with experience in applied Machine Learning, AI and requisite domain knowledge to continue to build out and lead our modeling efforts in some of projects within the GBM Analytics portfolio.

                                                                +

                                                                +


                                                                Key Accountabilities:

                                                                +


                                                                • Define, build and manage the entire lifecycle of a Machine Learning/Analytics project from Scoping to Deployment with a delivery oriented approach, collaborating with cross-functional teams.
                                                                • Design, build and implement models to solve business problems using advanced statistical & machine learning techniques.
                                                                • Distill and transform data-driven insights into a tangible Product.
                                                                • Lead and guide a change mandate across the team on innovative use of Alternative Data sources.
                                                                • Motivation to learn about new advancements in Machine Learning as well as new domains in Capital Markets.

                                                                +


                                                                Technical Qualifications:

                                                                +


                                                                • A technical undergraduate degree in Mathematics, Computer Science, Statistics or similar. Postgraduate degree specialized in Data Science/Machine Learning preferred.
                                                                • 1-2 years of hands-on experience as a Data Scientist.
                                                                • Proficiency in Python, SQL and Git workflow.
                                                                • Hands-on experience in working with and reconciling big data sets using technologies such as Hive/PySpark.
                                                                • Familiarity with advanced machine learning tools and libraries.
                                                                • Expertise in end-to-end advanced Machine Learning processes in various platforms including Cloud(GCP preferred).
                                                                • Familiarity with Time-Series modeling.
                                                                • Good understanding of Machine Learning model explainability and interpretation.
                                                                • Experience with visualization tools such as PowerBI, Plotly.
                                                                • Strong presentation skills and experience with building a compelling narrative based on complex data and analytics.

                                                                +


                                                                Nice to have:

                                                                +


                                                                • Experience with building and maintaining data pipelines.
                                                                • Experience with UNIX tools and shell scripting.
                                                                • Preference will be given to candidates with experience in Capital Markets, Treasury or other relevant field.

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-7-ON-M5H1H1/565408317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-12T17:27:04.513Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/175020122-data-scientist-customer-insights-data-analytics-7-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-7-ON-M5H1H1/565408317/,expired,2022-12-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +4feed649-17cc-4c2e-87b9-7e5f79ff9d16,171557115,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2022-11-28T17:22:02.361Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 167248

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                + +

                                                                As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                What your role will be:

                                                                • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                                                • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                                                • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                                                • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present results to business line stakeholders and help implement real data-driven changes
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                                                • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                Skills you already have:

                                                                • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                                                • Experience with machine learning, statistical techniques, as well as model testing and validation
                                                                • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
                                                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                • Programming skills in Python, Java, or Scala
                                                                • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                                                • Experience with UNIX tools and shell scripting preferred
                                                                • Expertise with Docker or Kubernetes is an asset
                                                                • Experience with various services on Google Cloud Platform is an asset
                                                                • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                                                • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                                                • Experience using and implementing visualization tools is an asset
                                                                • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                                                • Experience working with cross-functional team in an Agile environment is an asset
                                                                • Strong verbal, written, presentation & communication skills
                                                                • Proactive, organized, excellent analytical and problem-solving skills

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Data-Science-Senior-Manager-ON-M5H3Y2/565422817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-12T17:27:04.513Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/171557115-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Data-Science-Senior-Manager-ON-M5H3Y2/565422817/,expired,2022-11-28T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Post-Graduate Diploma,New Posting, +5f6f4103-9b20-40be-a49e-323bfe16f43a,172476104,CIBC,"Senior Quantitative Analyst, Risk Model Performance & Analytics",on_site,"Ontario, Canada",2022-12-01T17:06:04.209Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                When you hire great people, great things can happen.

                                                                -

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                +

                                                                Job Description

                                                                -

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                +

                                                                What You’ll Be Doing

                                                                -

                                                                Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                                                                +

                                                                Quantitative Risk is part of CIBC’s Capital Market Risk Management (CMRM), which is led by the Executive Vice President and Chief Risk Officer. CMRM is accountable for the identification, management, and control of the risks taken by CIBC Capital Markets. Quantitative Risk is responsible for providing continuous enhancements, controls, and the monitoring of all models used for risk measurements of Capital Market products, including compliance with current and new regulatory regimes.

                                                                -

                                                                The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                                                                +

                                                                As the Senior Quantitative Analyst, Risk Model Performance & Analytics, you will be responsible for CIBC’s Initial Margin Model and monitoring of the adequacy of the model as well as the accurate risk capture of Initial Margin under ISDA SIMM v2.5. You will have frequent interaction with CIBC and client’s collateral teams through this process. You will be responsible for ongoing enhancement of the model as new versions are released.

                                                                -

                                                                You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                                                                +

                                                                Additionally, you will be responsible for creating and streamlining analysis and reporting processes through automation and creation of tools for more effective and proactive risk management. You will work closely with our colleagues within Risk and our Technology partners.

                                                                +

                                                                +

                                                                You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • -
                                                                • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                                                                • -
                                                                • Perform data profiling and source to target mapping analysis for the best design
                                                                • -
                                                                • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                                                                • +
                                                                • Problem Solving and Communication – Ensure effective identification of issues impacting Capital Market Risk Management models performance, timely communication and escalation of identified issues to relevant stakeholder groups and senior management, and adequate prioritization for resolving identified issues.

                                                                • +
                                                                • Automation and Creative Solutioning – Using development best practices, you will be expected to identify opportunities to automate workflow and processes. Utilize your understanding of financial modelling to automate and further develop creative solutions. Create and enhance documentation pertaining to model governance and controls.

                                                                • +
                                                                • Domain Knowledge – Demonstrate in-depth understanding of valuation & risk models. Demonstrate and continue to grow knowledge of trading and hedging strategies, Capital Markets products, and regulatory changes pertaining to market risk capital and Initial Margin requirements. Remain abreast of market environment, news and events, and be proactive in assessing their potential impact on model performance. Develop expertise in CMRM and Capital Markets systems, processes and underlying models.

                                                                • +
                                                                • Relationship Building – Develop and maintain excellent relationships with various groups across Capital Markets Risk Management, Capital Markets, Technology and Finance as most of the issues identified through model performance monitoring require collaborative effort among multiple teams to resolve. Establish and maintain clear and concise lines of communication and foster a collaborative culture while keeping in mind that this role is part of Capital Markets Risk Management and is thus a 2nd line of defense with the accountability of providing effective challenge, monitoring, and oversight.

                                                                -

                                                                What you’ll do:

                                                                +

                                                                .

                                                                +

                                                                Who You Are

                                                                  -
                                                                • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • -
                                                                • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                                                                • -
                                                                • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                                                                • -
                                                                • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                                                                • -
                                                                • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                                                                • -
                                                                • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                                                                • +
                                                                • You demonstrate knowledge of Financial Risk Management. You have strong knowledge of financial markets and products as well as the foundations of risk measurement and risk management.

                                                                • +
                                                                • You’re a certified professional. You have a graduate degree in a quantitative discipline such as Mathematics, Physics, Engineering, Quantitative Finance, Computer Science, and/or related program. You have strong quantitative skills and experience.

                                                                • +
                                                                • You\'re digitally savvy. You have solid technical skills ( e.g. Python, R, C++, etc.) and you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools, systems and trends.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • +
                                                                • You\'re passionate about people. You find meaning in relationships, and surround yourself with a diverse network of partners.

                                                                • +
                                                                • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results, both within our department and across the broader CMRM team.

                                                                • +
                                                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                -

                                                                Who you are:

                                                                -
                                                                  -
                                                                • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                                                                • -
                                                                • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                                                                • -
                                                                • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                                                                • -
                                                                • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                                                                • -
                                                                • Professional experience working in an agile environment
                                                                • -
                                                                • Strong analytical and problem-solving ability
                                                                • -
                                                                • Strong written and verbal communication skills
                                                                • -
                                                                • Experience in operating and maintaining production-grade software
                                                                • -
                                                                • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                                                                • +

                                                                  +

                                                                  What CIBC Offers

                                                                  +

                                                                  +

                                                                  At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  +
                                                                    +
                                                                  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                  • +
                                                                  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                  • +
                                                                  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                  -

                                                                  Preferred Skills:

                                                                  +

                                                                  +

                                                                  +

                                                                  What you need to know

                                                                    -
                                                                  • Knowledge of software and data engineering best practices
                                                                  • -
                                                                  • Experience with large scale distributed data technologies and tools
                                                                  • -
                                                                  • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                                                                  • -
                                                                  • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                                                                  • -
                                                                  • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                                                                  • -
                                                                  • Understands how to translate business requirements to technical architectures and designs
                                                                  • -
                                                                  • Comfortable communicating with various stakeholders (technical and non-technical)
                                                                  • +
                                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                  • +
                                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                  -

                                                                  Nice to have Skills (though not required):

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Location

                                                                  Toronto-161 Bay St., 10th

                                                                  Employment Type

                                                                  Regular

                                                                  +

                                                                  Weekly Hours

                                                                  37.5

                                                                  Skills

                                                                  +

                                                                  Coding Languages, Market Risk, Python, Python (Programming Language), Quantitative Analysis, Quantitative Analytics, Quantitative Models, Quantitative Risk, Risk Management, Risk Measurement, Risk Models, R Programming, Scripting, SQL Databases
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Quantitative-Analyst--Risk-Model-Performance---Analytics_2241438?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-14T15:38:00.000Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/172476104-senior-quantitative-analyst-risk-model-performance-analytics-at-cibc,,expired,2022-12-01T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +9a55171f-ef0a-4dcf-b16a-aeef4c8df202,170608192,OMERS,Data & Analytics Strategy Analyst,on_site,"Ontario, Canada",2022-11-24T17:42:05.034Z,"
                                                                The Data & Analytics Strategy Analyst will be joining the dynamic Architecture, Infrastructure, Data & Analytics team. Reporting to the Associate Director of Strategy and Product, you will work closely with all facets of OMERS to support the delivery of new and existing data and analytics products and services to drive sustainable growth at OMERS.

                                                                +

                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                  -
                                                                • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                                                                • -
                                                                • Contributions to open-source software (code, docs, or mailing list posts)
                                                                • -
                                                                • GCP Professional Data Engineer Certification
                                                                • -
                                                                • Confluent Certified Developer for Kafka
                                                                • +
                                                                • Preparing compelling communications, PowerPoint presentations, emails, newsletters, website, BI dashboards and use other mediums to convey key messages to multiple levels of the organization including senior most leadership
                                                                • +
                                                                • Operating as a thought leader in the creation of planning, strategy, objectives, key results, and KPI development for the Data & Advanced Analytics team
                                                                • +
                                                                • Preparing business cases, KPI frameworks, roadmaps and pipeline summaries
                                                                • +
                                                                • Working cross-functionally with multiple business stakeholders
                                                                • +
                                                                • Preparing data visualizations in PowerBI following a visual storytelling approach to conveying strategic insights that enable rapid decision making
                                                                • +
                                                                • Preparing product backlogs, supporting the product management approach to data, analytics and AI capability development, facilitating in Agile Scrums and facilitating design thinking sessions
                                                                • +
                                                                • Conducting non-routine analyses, including data gathering, processing, analysis employing advanced statistical and ML methods, with ongoing deliverables to improve the quality of insights teams

                                                                -

                                                                COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                                -

                                                                -

                                                                In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                                                +

                                                                To succeed in this role, you have:

                                                                +
                                                                  +
                                                                • A Bachelor\'s degree with quantitative component (e.g., Business, Commerce, Science)
                                                                • +
                                                                • Former or current consulting experience preferred
                                                                • +
                                                                • 3+ years of experience in analytics development, analytics translation to the business and data visualization
                                                                • +
                                                                • The ability to create executive level PowerPoint presentations
                                                                • +
                                                                • The ability to be a collaborative team player with superior influencing skills, who builds relationships easily across various stakeholder groups to move initiatives forward
                                                                • +
                                                                • An outcome focused, critical thinking mindset with the ability to analyze and visualize, to ensure continuous improvement across our entire business
                                                                • +
                                                                • The ability to assess and evaluate impacts based on various scenarios to form fact-based recommendations using quantitative analysis
                                                                • +
                                                                • Experience in preparing high quality communications across a variety of mediums
                                                                • +
                                                                • Experience in market research and user research
                                                                • +
                                                                • Strong Business Acumen and understanding of business operations
                                                                • +
                                                                • Experience in defining user personas, user journeys and scoping a backlog
                                                                • +

                                                                -

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                -

                                                                Number of Openings:

                                                                0

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                +

                                                                Vaccination Policy

                                                                -

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                -
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-02-22T21:41:01.014Z,False,0,10,38,https://talenthub.vectorinstitute.ai/jobs/189564538-data-engineer-at-loblaw-companies-ltd,,expired,2023-01-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -7cedb4c9-c034-41b8-8c59-75d03d647370,189570673,Avidbots,Senior Software Developer,on_site,"Ontario, Canada",2023-01-23T17:42:04.018Z,"
                                                                -

                                                                Now is the time to become an Avidbotter!

                                                                -


                                                                About Avidbots

                                                                -

                                                                Avidbots is a leading-edge robotics company with the vision to bring robotic solutions into everyday life to increase organizational productivity and to do that better than any other company in the world. Our ground-breaking product, the Neo 2 autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Headquartered in Kitchener, ON, Canada, Avidbots offers comprehensive service and support to customers in 5 continents.

                                                                +

                                                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Analytics-Strategy-Specialist_JR-3657?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-12-15T17:47:04.070Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/170608192-data-analytics-strategy-analyst-at-omers,,expired,2022-11-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +a344de4c-a82a-4f06-948f-a6b784c18f6b,176656517,NVIDIA,"Senior Manager, Autonomous Machine Business Group",on_site,"Ontario, Canada",2022-12-12T17:42:04.182Z,"
                                                                +

                                                                For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With an unusual focus on this field, we offer niche platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team. NVIDIA\'s World Wide Field Operation Group is looking for a Senior Manager in Tokyo, Japan for supporting Embedded markets.

                                                                -

                                                                About the Opportunity:

                                                                -

                                                                Avidbots is embarking on an effort to start a number of expansion projects, and we are looking for an enthusiastic, passionate and quality-driven Senior Software Developer to help push the boundaries of commercial robotics. In this role, you will be a key contributor in advancing the state of our robot systems software. This is a unique opportunity to have a direct impact on the foundational software upon which our next-generation robot models will be built.

                                                                -

                                                                -

                                                                The ideal candidate has an exceptional and proven capability of developing software in C++ and OOP. You have a demonstrated track record in deploying software development projects for large and complex systems. You thrive with the latest technology while taking pride in well-designed, clean, and reliable code.

                                                                +

                                                                What you\'ll be doing:

                                                                +
                                                                  +
                                                                • Enthusiastically grow Automotive, Factory Automation, Robotics, Smart-city (AI video surveillance) businesses with our embedded (Jetson) and data center products

                                                                • +
                                                                • Balance distributor, channel and Partners

                                                                • +
                                                                • Matchmaking and bridge global end customers with embedded and enterprise system partners

                                                                • +
                                                                • Develop outstanding strategic relationships with customers\' R&D and procurement teams in order to understand customers\' system architecture, existing solutions, development plans and competition

                                                                • +
                                                                • Develop new opportunity pipelines and drive design wins

                                                                • +
                                                                • Understanding and guide delivery of NVIDIA value proposition, key features, product messages, positioning

                                                                • +
                                                                • Engage appropriate NVIDIA resources as part of a virtual sales team

                                                                • +
                                                                • Provide market and partners feedback to product teams to drive strategic alignment

                                                                • +
                                                                • Provide projects pipeline, forecast and accounts update periodically

                                                                • +

                                                                -

                                                                This can be a hybrid opportunity!

                                                                -

                                                                -

                                                                How you will make a difference:

                                                                +

                                                                What we need to see:

                                                                  -
                                                                • - Lead design and development initiatives to create, maintain and improve our robot software -
                                                                • -
                                                                • - Take ownership of critical robot software design decisions and drive their execution -
                                                                • -
                                                                • - Become a technical expert of your domain and contribute to the overall robot architecture -
                                                                • -
                                                                • - Champion continuous improvements in development environment and processes -
                                                                • -
                                                                • - Propose, define and maintain detailed API and design documentation -
                                                                • -
                                                                • - Participate in code reviews and in all phases of the Software Development Life Cycle -
                                                                • +
                                                                • 10+ years Embedded Product and Sales experience and experience managing a team

                                                                • +
                                                                • Successful experience with Japanese industrial companies

                                                                • +
                                                                • Executive-level sales knowledge and experience

                                                                • +
                                                                • Excellent both English and Japanese / communication / presentation skills

                                                                • +
                                                                • Good organization ability / proactive

                                                                • +
                                                                • Data Center business experience is a plus

                                                                • +
                                                                • Distributor and channel management experience is helpful

                                                                • +
                                                                • Familiar with AI DL, Embedded Linux and Android environments is a plus

                                                                • +
                                                                • Education: BS EE, Computer science is plus

                                                                • +
                                                                • Strong customer relationship skills

                                                                • +
                                                                • Ambitious, inventive, market savvy, creative thinking

                                                                -

                                                                Key Skills and Experience:

                                                                +

                                                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you\'re creative and autonomous, we want to hear from you!

                                                                +

                                                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Senior-Manager--Autonomous-Machine-Business-Group_JR1951448,feed-importer@jobboard.io,,,,2022-12-15T17:47:04.070Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/176656517-senior-manager-autonomous-machine-business-group-at-nvidia,,expired,2022-12-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Manager,Bachelors Degree,New Posting, +ebe45f23-1fb5-4635-a19b-f58fb801dde9,189730414,TD Bank Group,"Senior Business Insights Analyst, Fraud Strategy & Resiliency",on_site,"Toronto, ON",2023-01-24T17:24:03.520Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                TD Fraud Performance Management strives to protect TD Bank Customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, TD Fraud Performance Management develops analytics capabilities, processes, and layers of defense to mitigate fraud. The team operates within Enterprise Protect requiring both strategic and tactical responses to ever-changing fraud patterns and provides a unique opportunity to apply critical thinking and analytical skills in a fast-paced environment.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                The Senior Business Insights Analyst, Fraud Strategy & Resiliency will be part of a unique and new mandate for the Canadian Performance Management team. The team will lead a platform and process resiliency mandate across all current and future fraud platforms and processes at TD. A forward-looking role, this role will ensure appropriate oversight, early warning frameworks, incident playbooks, linkages to upstream and downstream systems are in place to run the bank fraud processes. The role will provide ample exposure working across various internal and external stakeholders in the bank and opportunity to make a big impact.

                                                                +

                                                                You will build on your deep analytics experience and process mindset to:

                                                                  -
                                                                • B.Sc. degree in mechatronics, computer science, engineering or equivalent
                                                                • -
                                                                • - 5+ years of professional software development experience -
                                                                • -
                                                                • - Expertise in C++ and object oriented programming principles -
                                                                • -
                                                                • - Proven experience with modern development process based on agile methodology -
                                                                • -
                                                                • - Experience with hardware interface/driver level development -
                                                                • -
                                                                • - Proficient in architecting, presenting and sharing software solutions to complex robotic challenges -
                                                                • -
                                                                • - Driven individual, passionate, self-starter -
                                                                • +
                                                                • Understand and improve the operational impacts of our fraud defense strategies
                                                                • +
                                                                • Evaluate business processes, anticipate requirements, uncover areas for improvement, and develop and implement solutions.
                                                                • +
                                                                • Participate in ongoing reviews of business processes and develop optimization strategies.
                                                                • +
                                                                • Maintain confidence of the business via continuous engagement and achieving deliverables
                                                                • +
                                                                • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                                                • +
                                                                • help design policy, process, or strategic changes to enable the bank to safely deliver its strategic roadmap
                                                                • +
                                                                • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                                                • +
                                                                • identify emerging fraud trends and support the teams’ developing defenses against emerging and in-market fraud trends
                                                                • +
                                                                +

                                                                The successful candidate will work collaboratively with a diverse team of Fraud solution developers, data scientists, business insights analysts, operational agents and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                                                +

                                                                Accountabilities:

                                                                +

                                                                Fraud Management

                                                                +
                                                                  +
                                                                • Perform periodic and targeted monitoring like QA and QC reporting, testing and business KPIs.
                                                                • +
                                                                • Evaluate current early warning reporting, identify gaps, and lead remedial action.
                                                                • +
                                                                • Supports development of new monitoring reports, dashboards using interactive dashboards
                                                                • +
                                                                • Assists senior members of the Fraud Resiliency group in current/target state process assessment
                                                                • +
                                                                • Identify and escalate gaps in process or technology hindering efficiency and/or effectiveness of the Analytics or Operations teams
                                                                • +
                                                                • Assists in review of new technologies and assesses reasonableness of business cases to understand potential investment opportunities
                                                                • +
                                                                • Leverage subject matter expertise to independently investigate new, high-risk exposures under tight timelines
                                                                • +
                                                                • Produce timely diagnostics to identify system, strategy, and operational issues
                                                                • +
                                                                • Participate in defect analysis to identify and remediate coverage gaps
                                                                +

                                                                Partner Support

                                                                +
                                                                  +
                                                                • Works with business partners to understand new intent, and to liaise with project team as fraud management representative
                                                                • +
                                                                • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                                                                • +
                                                                • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                                                • +
                                                                • Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise.
                                                                • +
                                                                • Support the continuous improvement agenda for our operational partners
                                                                • +
                                                                • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Audit, Internal Business Partners, Vendor Managers etc.
                                                                • +
                                                                • Acts as a subject matter expert and represents the team or bank at project meetings or industry forums
                                                                • +
                                                                +

                                                                -

                                                                Bonus:

                                                                +

                                                                Requirements

                                                                +
                                                                +
                                                                  -
                                                                • - Background in robotics -
                                                                • -
                                                                • - Strong working knowledge of ROS and Python -
                                                                • -
                                                                • - Experience developing safety/diagnostics related software -
                                                                • -
                                                                • - Experience with GUI development -
                                                                • -
                                                                • - Graduate degree in mechatronics, computer science, engineering, or equivalent -
                                                                • -
                                                                • - Basic mechanical/electrical knowledge -
                                                                • -
                                                                • - Scrum certification -
                                                                • +
                                                                • 3+ years of work experience in an analytical capacity
                                                                • +
                                                                • Graduate or undergraduate degree or technical certificate (e.g., engineering, mathematics, statistics, computer science, or analytics)
                                                                • +
                                                                • Ability to quickly and independently structure and deliver on new problems not previously tackled by the bank
                                                                • +
                                                                • Demonstrated analytical and problem-solving skills
                                                                • +
                                                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • +
                                                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                                • +
                                                                • Ability to effectively manage competing priorities in a fast-paced environment
                                                                • +
                                                                • Ability to “tell the story” to both technical and non-technical team members
                                                                • +
                                                                • Ability to take initiative and work independently under tight timelines
                                                                • +
                                                                • Ability to work collaboratively and build relationships
                                                                • +
                                                                • Passion in analytics with a customer-first mindset
                                                                • +
                                                                • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                                                -

                                                                -

                                                                **Applicants must be currently authorized to work in Canada for any employer""

                                                                -

                                                                -

                                                                Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                                                -

                                                                -

                                                                Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                                                                +

                                                                Preferable

                                                                +
                                                                  +
                                                                • Process engineering and/or Lean Six Sigma background preferred
                                                                • +
                                                                • Experience in fraud management and fraud detection platforms is an asset
                                                                • +
                                                                • Automation experience is an asset
                                                                • +
                                                                +

                                                                -

                                                                #INDAV

                                                                -
                                                                ",,https://avidbots.bamboohr.com/careers/507,feed-importer@jobboard.io,,,,2023-02-22T22:36:50.856Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/189570673-senior-software-developer-at-avidbots,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -67d64555-5962-4bb2-979f-fe50348b5db9,189730971,BenchSci,"Staff Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-01-24T17:39:01.921Z,"
                                                                -
                                                                We are seeking a Staff Machine Learning Engineer - NLP to join our growing Machine Learning team!
                                                                -

                                                                -
                                                                You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Director of Engineering in Machine Learning, you'll apply your deep domain expertise to multiple mission-critical projects and architect advanced machine learning algorithms for the ML team to implement. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                -

                                                                -
                                                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US, and the UK for this position.
                                                                -
                                                                -

                                                                You Will:

                                                                -
                                                                    -
                                                                  • Prototype ML Architecture across multiple ML Teams to execute in order to build robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • -
                                                                  • Review and approve ML technical documentation to ensure quality and accuracy of performance and results
                                                                  • -
                                                                  • Contribute to the ML roadmap by ensuring project proposals are both highly impactful and technically feasible
                                                                  • -
                                                                  • Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • -
                                                                  • Lead design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment
                                                                  • -
                                                                  • Own the solutions and long-term technology investments that will drive innovation at BenchSci
                                                                  • -
                                                                  • Participate and contribute to sprint planning, estimation, and design/code reviews
                                                                  • -
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • -
                                                                  • Work cross-functionally with different stakeholders including BenchSci's R&D scientists
                                                                  • -
                                                                -
                                                                -

                                                                You Have:

                                                                -
                                                                    -
                                                                  • A Ph.D. in Computer Science, Machine Learning, or a related field
                                                                  • -
                                                                  • 8 years of combined experience working as a professional developer and as a researcher applying machine learning techniques to solve business problems
                                                                  • -
                                                                  • Established research track record, evidenced by conference or journal publications
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • -
                                                                  • Extensive experience with NLP and PyTorch
                                                                  • -
                                                                  • Experience with architecting, building, and evaluating robust and scalable production-ready ML models
                                                                  • -
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas A growth mindset and a constant desire to learn
                                                                  • -
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-02-23T17:44:02.233Z,False,0,9,90,https://talenthub.vectorinstitute.ai/jobs/189730971-staff-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c,expired,2023-01-24T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,PhD,New Posting, -8521f535-9ff7-4d94-9c38-e5b74b1a396f,192003375,Sun Life Financial,Senior Campaign Data Analyst (Fixed term),on_site,"Ontario, Canada",2023-02-02T17:41:02.516Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                Additional Information

                                                                +
                                                                Inclusiveness
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                #tdcybersecurity #LI-Post

                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Job Description:

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                Role Summary

                                                                -

                                                                Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                                                                -

                                                                As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience.

                                                                -

                                                                As Senior Campaign Data Analyst, you will leverage our vast data, SAS and Big Data capabilities to enable these objectives by designing marketing campaigns and delivering data solutions for our inbound and outbound channels. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16238629/senior-business-insights-analyst-fraud-strategy-resiliency-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/189730414-senior-business-insights-analyst-fraud-strategy-resiliency-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16238629/senior-business-insights-analyst-fraud-strategy-resiliency-toronto-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +49dabc5f-7fdf-4669-b6c2-920e7dc0621c,190517839,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-27T17:22:03.307Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 169146

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Term: May-August 2023

                                                                +

                                                                Application Deadline: 01/27/2023

                                                                +

                                                                +

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                +

                                                                +

                                                                Is this role right for you? In this role, you will:

                                                                +
                                                                • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                                                                • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                                                                • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                                                                • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                                                                • Make impact by constantly identifying and implementing process improvements
                                                                • Experiment & learn!
                                                                • +
                                                                +

                                                                +

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                +
                                                                • You are currently enrolled in post-secondary education.
                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs,
                                                                • You have strong written/verbal communication and project management skills.
                                                                • +You have knowledge/experience in:
                                                                  • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                  • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                  • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                  • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                  • Visualization tools like PowerBI, Tableau or Qlikview
                                                                  • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                  • Making sense of data, creating reports, and communicating KPI’s
                                                                • +
                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • +
                                                                +

                                                                +

                                                                How do I apply?

                                                                +

                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

                                                                +
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. Complete a short one-way video interview here.
                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                4. +
                                                                +

                                                                +

                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,13,56,https://talenthub.vectorinstitute.ai/jobs/190517839-wealth-management-data-analytics-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,expired,2023-01-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +52341bea-8e99-4e16-825f-8a70015f8f1d,188135012,TELUS,"Senior Data Engineering Consultant, TELUS Business Solutions Marketing Analytics",on_site,"Ontario, Canada",2023-01-18T17:42:03.262Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +

                                                                +

                                                                Join our team

                                                                +

                                                                +

                                                                Our Team – TELUS Business Solutions Marketing Analytics - has a mandate to build solutions for our stakeholders using data to drive business outcomes. We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.

                                                                Come join our team if you have a passion for data, analytics, and marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.

                                                                +

                                                                +

                                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                                +

                                                                +

                                                                As a Senior Data Engineering Consultant in the team, you will be working with Business Stakeholders and the Data Scientists to build data assets that will be leveraged by the data scientists for machine learning/AI models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns. Your solutions will have a direct impact on marketing sales targets and P&L.

                                                                +

                                                                +

                                                                Here\'s how

                                                                +

                                                                +
                                                                  +
                                                                • Design and build scalable and resilient Data & Analytics solutions in Google Cloud Platform – architect technical solutions to obtain, process, store and provide insights based on processed data
                                                                • +
                                                                • Build data assets for machine learning purposes on Google Cloud Platform
                                                                • +
                                                                • Work on automation and optimization of internal processes
                                                                • +
                                                                • Provide data analysis and standard reporting support
                                                                • +
                                                                • Design, develop, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the ETL pipeline
                                                                • +
                                                                • Keep up to date with the evolving Cloud technology and Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies
                                                                • +
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                +

                                                                +
                                                                  +
                                                                • Bachelors and/or Master’s degree preferred
                                                                • +
                                                                • 5 years of experience in big data analytics and distributed systems
                                                                • +
                                                                • Experience in writing code/ETL processes/Monitoring processes in a production ready environment
                                                                • +
                                                                • Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs
                                                                • +
                                                                • Experience implementing production level deployments at an enterprise scale on Google Cloud Platform
                                                                • +
                                                                • Strong coding and development skills in programming languages (e.g. Python, PySpark etc.)
                                                                • +
                                                                • A Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines
                                                                • +
                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Google Cloud Platform Experience
                                                                • +
                                                                • Post graduate education in Data, Advanced Analytics, Computer Science Eng/Programming or any other relevant program
                                                                • +
                                                                • Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning experience or knowledge
                                                                • +
                                                                • Telecom industry experience
                                                                • +
                                                                • B2B Experience
                                                                • +
                                                                +


                                                                #LI-REMOTE

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Data-Science-Lead-Data-Engineer%2C-TELUS-Business-Solutions-Marketing-Analytics-ON/565214117/,feed-importer@jobboard.io,,,,2023-01-30T17:47:05.505Z,False,0,5,14,https://talenthub.vectorinstitute.ai/jobs/188135012-senior-data-engineering-consultant-telus-business-solutions-marketing-analytics-at-telus,,expired,2023-01-18T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +ef93c6bb-0e92-41db-9cc1-1c72f13f5d15,189570730,CN,"Intern, Enterprise Architecture",on_site,"Ontario, Canada",2023-01-23T17:42:07.850Z,"
                                                                +

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                This is a fixed term position for 12 months. It offers partial benefits and 4 weeks vacation.

                                                                -

                                                                -

                                                                What will you do?

                                                                +

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Enterprise Architecture position in Canada for summer 2023 (May – August).

                                                                +

                                                                Job Summary

                                                                +

                                                                The Intern, Enterprise Architecture is responsible for supporting emerging technologies and innovation practices. The incumbent researches the latest technology trends applicable to railroading and has the opportunity to communicate trends and innovations to the larger CN I&T community. The role is exposed to the fundamental workings of the railroad across many business disciplines as well as to Research and Development (R&D), architecture, and solution delivery best practices. The position is performed within a team of experienced thought leaders and passionate professionals that solve exciting enterprise challenges in a fun and collaborative atmosphere. The exceptional breadth of exposure to numerous opportunities from “classic” mainframe systems to the bleeding edge of distributed Artificial Intelligence (AI), from telecom to finance and everything in between provides a unique opportunity to understand the workings of a large supply chain enabler.

                                                                +

                                                                Major Responsibilities

                                                                  -
                                                                • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders

                                                                • -
                                                                • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs

                                                                • -
                                                                • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements

                                                                • -
                                                                • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements

                                                                • -
                                                                • Support stakeholders and third parties throughout the campaign implementation process

                                                                • -
                                                                • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                                                                • -
                                                                • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are fairly complex.

                                                                • -
                                                                • Manage multiple campaigns simultaneously

                                                                • +
                                                                • Learn the key elements of railroading
                                                                • +
                                                                • Research technology trends in the railroad and adjacent industries then document how they would be applied
                                                                • +
                                                                • Prepare technical radars and reports for specific innovation topics
                                                                • +
                                                                • Assess potential suppliers on their product and service offering, including both start-ups and market leaders
                                                                • +
                                                                • Support the delivery of proof of concept and prototyping initiatives, including business cases, data gathering, and delivery planning
                                                                • +
                                                                • Develop and execute innovative communication strategies for digital tools such as Yammer and SharePoint
                                                                • +
                                                                • Create standard templates for research requests
                                                                • +
                                                                • Shadow meetings with research partners and suppliers
                                                                +

                                                                Requirements

                                                                  -
                                                                • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                                                • -
                                                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight

                                                                • -
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences

                                                                • -
                                                                • Liaise with stakeholders across other teams to resolve discrepancies

                                                                • -
                                                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Support campaign target list generation, analyses, measurement and reporting

                                                                • +
                                                                • Shows initiative and empowers others
                                                                • +
                                                                • Identifies opportunities
                                                                • +
                                                                • Solves problems using analytical thinking
                                                                • +
                                                                • Inspires others with impactful communications and adapts to the audience
                                                                • +
                                                                • Collaborates with others
                                                                • +
                                                                • Deals with pressure and change by staying calm to quickly adapt to changes
                                                                • +
                                                                • Knowledge of Scientific written communication and technology principles
                                                                • +
                                                                • Knowledge of AI, Machine Learning, Internet of Things (IoT), Big Data, Computer Vision, advanced analytics, automation, and positioning technologies
                                                                • +
                                                                • Knowledge of technologies and practices such as Optimizers, Unmanned Aircraft Systems (UAVs), wearables, extended reality, Blockchain, autonomous vehicles, digital twins, edge computing, control towers, data governance, and railroad operations*
                                                                • +
                                                                • Advanced knowledge of Microsoft Suite (Excel, PowerPoint, Word)
                                                                • +
                                                                • Knowledge of Teams and SharePoint
                                                                +

                                                                Education

                                                                +
                                                                • Working towards a Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or Business
                                                                +

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                -

                                                                What will you need to succeed?

                                                                +

                                                                +

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9486?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-30T17:47:05.505Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/189570730-intern-enterprise-architecture-at-cn,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +9ae1caf6-a4f1-46ff-a570-b09d2d3ab8e7,185923384,RBC,Senior Full Stack Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:06:51.221Z,"

                                                                RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

                                                                +

                                                                Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

                                                                +

                                                                Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                +

                                                                Senior Full Stack Engineer

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                What if you could use your technology skills to work on products that make an impact when it comes to delivering unforgettable client experiences? Our team is building capabilities that enable the end-to-end transformation of our customers' journeys –building and leading with technologies that put data privacy and responsible AI practices at the forefront. We’re a team of resilient, collaborative people with a hunger for learning and delivering trusted data and AI-powered capabilities to support top-notch client experiences and we have our sights set on building the tech stack of the future with modern, flexible architecture by building once, and reusing across channels – how’s that for efficiency?

                                                                +

                                                                We’re building a team who is not afraid to challenge the status quo, embraces innovation, and is excited to bring a fresh perspective. We’re looking for a talented and passionate Lead Engineer to join our team in Toronto. People who join our team will be able to work on the most innovative solutions to enable self-service analytics capabilities delivered via both public and private cloud platforms using event and microservices-based architectures. Join our team today and magnify your impact influencing the future of banking on a global scale. RBC is committed to being the destination of choice for technologists, driven by our engineering culture of curiosity, bold ambition and outcomes

                                                                +

                                                                What will you do?

                                                                +

                                                                As the Lead Full Stack Engineer, you will play a key role in our immediate and long-term strategic technical delivery direction for a multi-disciplined team of technologists. Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that render a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

                                                                +

                                                                If you have a passion for delivering top-notch data and AI-driven services and applications and are passionate about data privacy, security and responsible AI related technologies - we have a spot for you on our team.

                                                                  -
                                                                • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                                                                • -
                                                                • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns and business.

                                                                • -
                                                                • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                                                • -
                                                                • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                                                • -
                                                                • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                                                • -
                                                                • -

                                                                  The candidates must have relevant experience in the following areas:

                                                                  +
                                                                • Design & execution of hybrid and multi-cloud application deployments of AI/ML-driven applications and data services that enable our trusted data and AI mission
                                                                • +
                                                                • Develop methodologies & frameworks for systematically validating the performance, security, and trustworthiness of deployed ML models
                                                                • +
                                                                • Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives
                                                                • +
                                                                • Actively engage with stakeholders to gather requirements and ideate software solutions and support creation of scalable software
                                                                • +
                                                                • Write clean, functional code for large-scale distributed applications
                                                                • +
                                                                • Test software (unit, system, integration and acceptance testing) to ensure responsiveness and efficiency and where required troubleshoot, provide solutions to fix / debug and upgrade software
                                                                • +
                                                                • Partner with and support other teams as required; there are many teams, yet we are one team.
                                                                • +
                                                                • Leverage best practices in continuous integration and delivery, with a strong commitment to quality
                                                                • +
                                                                • Explore new capabilities and technologies to drive innovation
                                                                • +
                                                                +

                                                                Must-have

                                                                  -
                                                                • Knowledge of Inbound and Outbound campaigns

                                                                • -
                                                                • Knowledge on the data needs for analytics and campaigns

                                                                • -
                                                                • Communication and liaison experience between business, analytics and IT

                                                                • +
                                                                • Experience (6+ years) working software delivery teams in mid to large software/IT organizations developing scalable, highly available and performant applications and microservices, participating in design sessions and code reviews with skills in the following areas:
                                                                    +
                                                                  • Data Engineering & API Development: expertise in at least one major programming language (Java, Python, Scala etc.) and messaging technology (e.g., Kafka etc.)
                                                                  • +
                                                                  • Security frameworks: Kerberos, OAuth 2.0, Vault integration
                                                                  • +
                                                                  • Cloud and Containers: AWS, OpenShift, Docker, Pivotal Cloud Foundry
                                                                  • +
                                                                  • SQL/Data Stores: PostgreSQL, S3, HDFS, Elasticsearch, Redis etc.
                                                                  • +
                                                                  • DevOps: Git, Jira, Jenkins, Confluence etc.
                                                                  • +
                                                                  +
                                                                • +
                                                                • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others
                                                                • +
                                                                • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
                                                                • +
                                                                • Great attention to detail, organizational skills and an analytical mind
                                                                • +
                                                                +

                                                                Nice-to-have

                                                                +
                                                                  +
                                                                • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies
                                                                • +
                                                                • IAPP CIPT Certified
                                                                • +
                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Opportunity to work on cool stuff and make a difference
                                                                • +
                                                                • Work in a fun, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Access to world-class learning resources and relevant programs
                                                                • +
                                                                • Flexible, hybrid work/life balance options
                                                                • +
                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                +

                                                                TORONTO, Ontario, Canada

                                                                +

                                                                City:

                                                                +

                                                                CAN-ON-TORONTO

                                                                +

                                                                Country:

                                                                +

                                                                Canada

                                                                +

                                                                Work hours/week:

                                                                +

                                                                37.5

                                                                +

                                                                Employment Type:

                                                                +

                                                                Full time

                                                                +

                                                                Platform:

                                                                +

                                                                Technology and Operations

                                                                +

                                                                Job Type:

                                                                +

                                                                Regular

                                                                +

                                                                Pay Type:

                                                                +

                                                                Salaried

                                                                +

                                                                Posted Date:

                                                                +

                                                                2022-12-14-08:00

                                                                +

                                                                Application Deadline:

                                                                +

                                                                2023-01-31-08:00

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T15:08:00.000Z,False,2,0,27,https://talenthub.vectorinstitute.ai/jobs/185923384-senior-full-stack-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:06:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, +8152bf20-60bc-4e7c-b859-be66aebba696,186278244,TELUS,"Senior Strategy Manager, Data Platforms",on_site,"Ontario, Canada",2023-01-12T17:42:04.376Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                Join our team and what we\'ll accomplish together

                                                                +

                                                                The Enterprise Data Layer team designs, implements and oversees the GCP analytics platform at TELUS. Known as the DataHub, our team architects and operationalizes the underlying infrastructure used to power data solutions that drive value and deliver results from analytics. Our platforms provide the organization with modern cloud native services, modern BI tools, DataOps methodologies and processes, and a self-serve data environment to test & learn and productionalize data models enabling data driven decisions. Our vision is to empower our TELUS business partners with a standardized platform utilizing infrastructure, policy and governance as code, setting guide rails for teams to develop their data & analytics use cases within our cloud data platform and BI toolsets.

                                                                +

                                                                +

                                                                We are looking for enthusiasts who can help build our next generation solutions enabling best-in-class data platforms with a focus on expanding our capabilities while ensuring always available analytics in Google’s Cloud Platform. You will support digital transformation at TELUS by partnering with teams across the organization to make better use of their data. Use your strong communication, critical thinking and change management experience to assess the impact of transformation on our partner teams, the upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS.

                                                                +

                                                                +

                                                                What you’ll do

                                                                +

                                                                +
                                                                  +
                                                                • Support the establishment of data a shared strategy across the enterprise to enable the business to meet its strategic and financial objectives
                                                                • +
                                                                • Support the creation of automated work intake process, prioritization, metrics, process improvements and resource alignment to planned roadmaps
                                                                • +
                                                                • Drive a governed approach with increasing maturity around our data & analytics platforms and tools
                                                                • +
                                                                • Liaise with our business and IT partners to ensure alignment on roadmaps and strategic initiatives delivering value and supporting a data driven culture
                                                                • +
                                                                • Lead annual strategy reviews for the Enterprise Data Platforms team and collaborate with owners in our larger business unit including coordination and material creation
                                                                • +
                                                                • Monitor trends, innovation and opportunities in the industry and with our Vendors
                                                                • +
                                                                • Support your DataOps team members in delivering the ideal cloud data architecture with a focus on self-serve, efficiency, security and privacy
                                                                • +
                                                                • Identify opportunities for automation and implement in the development and production process
                                                                • +
                                                                • Support our internal web presence, knowledge portal, intake process, and “Quick Reference Guides” increasing customer awareness and standardization of data environments across TELUS
                                                                • +
                                                                • Author quality documentation and materials to support messaging around new data capabilities, services and analytics tools, roadmaps, customer onboarding to our data platform, roadmaps, change management and alignment across IT teams
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +


                                                                What you bring

                                                                +

                                                                +
                                                                  +
                                                                • 5-7 years of experience in a Management Consulting, Digital agency or Corporate Strategy with a large organization
                                                                • +
                                                                • 3-5 years of experience working in Technology
                                                                • +
                                                                • Experience helping organizations evolve their way of working, defining and implementing new operating models and standing up Transformation efforts
                                                                • +
                                                                • You are an exceptional communicator that excels at compelling storytelling and presentations
                                                                • +
                                                                • You have good understanding of Data & Analytics principles and tools and digital transformation initiatives
                                                                • +
                                                                • You have experience managing business stakeholders and engaging with many diverse technical teams to aligning deliverables
                                                                • +
                                                                • You have a proven track record of engaging with technical leaders and SMEs to create quality roadmaps to be reviewed and accepted at a senior level within the organization
                                                                • +
                                                                • You are collaborative and able to work with various IT and business teams to deliver on outcomes
                                                                • +
                                                                • You are able to share a vision and implement long-term data strategies while providing value early and often along the journey
                                                                • +
                                                                • You can distill complex solutions and interactions to gain support and engagement with senior leaders and business stakeholders
                                                                • +
                                                                • You have experience working with IT vendors and corporate partners
                                                                • +
                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                +
                                                                  +
                                                                • Experience with Google Cloud Platform
                                                                • +
                                                                • Enterprise Architecture experience specifically in the data space
                                                                • +
                                                                • Experience with FinOps and Cloud platform budget management
                                                                • +
                                                                • University degree in Business, Information Technology Management or Engineering
                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Strategy-Manager%2C-Data-Platforms-ON/564894117/,feed-importer@jobboard.io,,,,2023-02-11T21:01:28.872Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/186278244-senior-strategy-manager-data-platforms-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +cc231964-476c-4fcd-86bf-26aa4486a24f,208690166,BMO Financial Group,"Digital Strategy & Insights Analyst, Summer 2023 (Co-o/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.306Z,"
                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +
                                                                  +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • +
                                                                • Analyzes issues and determines next steps.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                • +
                                                                • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                                                • +
                                                                • Specialized knowledge.
                                                                • +
                                                                • Verbal & written communication skills - Good.
                                                                • +
                                                                • Organization skills - Good.
                                                                • +
                                                                • Collaboration & team skills - Good.
                                                                • +
                                                                • Analytical and problem solving skills - Good.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Unique Requirements

                                                                -
                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • -
                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                What will be nice to have?

                                                                -
                                                                  -
                                                                • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g. SAS RTDM)

                                                                • -
                                                                • General programming language knowledge and basic application design

                                                                • -
                                                                • Some technical writing, report analysis and PowerPoint presentation creation

                                                                • -
                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                What\'s In It For You?

                                                                -
                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid # LI- Remote

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • -
                                                                • A common sense dress code, where you decide how you dress based on your day

                                                                • -
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • -
                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Strategy---Insights-Analyst--Summer-2023--Co-o-Internship--4-months_R230003404?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-03T21:45:00.000Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/208690166-digital-strategy-insights-analyst-summer-2023-co-o-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ae3f061a-4a0f-401c-9b50-77c52b18082f,210223744,Roche,Data Scientist,on_site,"Ontario, Canada",2023-03-30T17:42:06.543Z,"
                                                                +

                                                                The Position

                                                                +

                                                                Role: Data Scientist

                                                                +

                                                                Type: FTE

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

                                                                +


                                                                As a Data Scientist at Roche Pharma, you’ll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD). You will be responsible for the strategic and analytical activities of the molecules and devices in our
                                                                pipeline on a level matching your seniority.

                                                                +


                                                                DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.

                                                                +


                                                                Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

                                                                +

                                                                - Delivers data analysis products such as data tabulations, analysis datasets, statistical tables/listings/figures, and interactive applications related to clinical trial data and analysis
                                                                - Supports study results reporting by producing these deliverables in collaboration with internal and external colleagues
                                                                - Provides analytical and programming expertise, and contributes to the production of programming packages and functions that can be used across studies and molecule programs
                                                                - Supports regulatory submissions to health authorities and contributes to data standardization in order to maximize reusability

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                Key Accountabilities

                                                                +

                                                                Data Sciences Leadership

                                                                +

                                                                - Accountable for the development and implementation of Data Sciences products.
                                                                - Lead and/ or support multiple elements of the drug development process across various phases of clinical trials.
                                                                - Lead and/ or support regular review of opportunities to simplify and innovate, and collaborate with experts in DSS, PDD and beyond to accelerate and deliver patient benefits faster.
                                                                - Lead and/ or support prioritization efforts, demonstrating urgency and taking smart risks to make considered decisions in a fast-paced, evolving environment.

                                                                +


                                                                Drug Development Strategy and Execution

                                                                +

                                                                - Lead or contribute technical expertise to multiple elements of the business, including: strategic planning; communication; and implementation.
                                                                - Support and/or represent DSS and PDD across multiple functions of the Roche global organization, which may include; Pharma Research and Early Development (pRED); Genentech Research and Early Development (gRED); PD; Market Access, Global Product Strategy (GPS); and Pharma Technical (PT).
                                                                - Purposefully collaborate and influence to support PDD to be at the forefront of our industry for Data Sciences.
                                                                - Collaborate with Global Health Authorities to support our product pipeline.
                                                                - Build strong partnerships and opportunities to collaborate and innovate with varying stakeholders across the Roche global organization in support of Roche products, programs, processes, systems, and/or compliance.

                                                                +


                                                                Career Development

                                                                +

                                                                - Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different Specialties and Disease Areas.
                                                                - Role model knowledge sharing within DSS, PDD, and beyond.
                                                                - Act as a coach, mentor, or buddy to help colleagues grow and develop.

                                                                +


                                                                Technical Accountability

                                                                +

                                                                - Contribute technical, therapeutic and business expertise within and external to DSS and PDD, which may include: Research and Development products; Drug development and clinical trial products; Current and new technologies; Working with external data and external organizations; Global Health Authority requirements; Data Sciences industry landscape; Statistical methods and techniques; Analytical strategies; Programming languages; Software development; Data standards; Therapeutic area expertise; Outsourcing expertise; Findable,
                                                                Accessible, Interoperable, and Reusable (FAIR) Data Principles; Data Citizenship; Data Privacy; Best practices; and Process improvements, etc.
                                                                - Explore ways of modernizing insight generation through new innovative tools and technology.
                                                                - Build expertise in novel data types, statistical methods, programming languages, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
                                                                - Demonstrate a good level of system awareness.

                                                                +


                                                                Qualifications

                                                                +

                                                                Additional educational and technical qualifications may be added based upon the Specialty being recruited.
                                                                - College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
                                                                - Experience in the pharmaceutical/biotech industry is preferred.
                                                                - Understanding of the end-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
                                                                - Track record of establishing successful internal partnerships and collaborations.
                                                                - Influential and confident communicator
                                                                - Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
                                                                - Fluency in written and spoken English
                                                                - Ability to work across multiple cultures and countries
                                                                - Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
                                                                - Willingness to travel as required

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                Who we are

                                                                +

                                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                20/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-term-_JR00074404?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/192003375-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-02-02T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9d2390ba-b490-4a35-b24c-299c568ef08c,191128827,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-01-30T17:41:02.119Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                -

                                                                At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                -

                                                                -

                                                                Role Summary:

                                                                -

                                                                -

                                                                Join a team that is growing the Data and Analytics capabilities of Group Retirement Services (GRS) at Sun Life Canada. As a member of the GRS Strategy, Data & Analytics team, you will play a pivotal role in building out data products and maintaining data capabilities to enrich our client experience and arm internal stakeholders with data & analytic solutions to help drive informed decisions.

                                                                -

                                                                -

                                                                As a Senior Data Engineer, you will be responsible for leveraging our Big Data (EDL) capabilities to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of data and analytics professionals, Senior Data Engineer will lead the entire lifecycle of data in GRS business – from ETL to mining insights from the data, to making data accessible and useful for data analysts in the team to build analytics services and self-serve solutions for our stakeholders.

                                                                +

                                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                                                                +

                                                                +

                                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                +

                                                                +

                                                                Roche is an Equal Opportunity Employer.

                                                                +
                                                                ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202301101881EXTERNALENGLOBAL/Data-Scientist,feed-importer@jobboard.io,,,,2023-04-03T17:47:05.253Z,False,0,10,46,https://talenthub.vectorinstitute.ai/jobs/210223744-data-scientist-at-roche,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Associate,College Diploma,New Posting, +a4a57f23-fd71-456e-90d8-7d8a25d5d24a,206568605,RBC,"Manager, Fraud Detection Analytics",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.484Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Manager, Fraud Detection Analytics

                                                                -

                                                                Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have relevant experience in the following areas:

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                As a Manager, Fraud Detection Analytics, you will be responsible for the development and execution of fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC’s Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.

                                                                -

                                                                Data Management – i.e. design, development, integration

                                                                -

                                                                Data Discovery – i.e. scoping new data sources, understanding and leveraging current data sources

                                                                -

                                                                Data Governance - i.e. manage data catalogue, interpret metadata

                                                                -

                                                                Communication and liaison experience between business, data analysts and IT

                                                                +

                                                                Please Note: This position is not a people manager role and we welcome applicants from across Canada.

                                                                What will you do?

                                                                  -
                                                                • Design and engineer highly scalable business data models that provides accurate and reliable data to support analytics, reporting, dashboards, and marketing campaigns.

                                                                • -
                                                                • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing the alignment of source data platform

                                                                • -
                                                                • Lead the research and evaluation of new data sources, both internal and external, and implement processes and logic to integrate into GRS data model

                                                                • -
                                                                • Support data analysts with data discovery and rapid assembly of large datasets for analytics & reporting consumption

                                                                • -
                                                                • Analyze data to support model development and to identify potential areas for improvement

                                                                • -
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Oversee governance framework and strengthen data security by setting up user control and documenting data models, architectures and algorithms

                                                                • -
                                                                • Ensure that data requests fall within the scope of the Master GRS Privacy Impact Assessment and any potential Model End User Compliance guidelines are adhered to

                                                                • +
                                                                • Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
                                                                • +
                                                                • Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
                                                                • +
                                                                • Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
                                                                • +
                                                                • Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
                                                                • +
                                                                • Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
                                                                • +
                                                                • Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
                                                                • +
                                                                • Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
                                                                • +
                                                                • Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                  -
                                                                • 5+ years of hands-on experience working with data; in-depth knowledge in engineering data products for analytical model (i.e. Python, SQL, SAS, etc.)

                                                                • -
                                                                • 3+ years of hands-on experience working on Cloud Platforms (AWS, Azure, etc.) with various data processing and analytical tools such as Hive SQL

                                                                • -
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., engineering, computer science) or equivalent experience

                                                                • -
                                                                • Experience leading complex data projects with problem solving mindset

                                                                • -
                                                                • Demonstrated ability to exchange ideas and convey complex information clearly and concisely

                                                                • -
                                                                • Proven ability to lead and drive projects and assignments to completion

                                                                • -
                                                                • Knowledge in fast evolving trend of data science concept and techniques

                                                                • -
                                                                • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

                                                                • -
                                                                -

                                                                -

                                                                Unique Requirements

                                                                -
                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +
                                                                • 3+ years’ experience in analytics or data science related roles, working with large, real-world datasets
                                                                • +
                                                                • Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
                                                                • +
                                                                • Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
                                                                • +
                                                                • Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
                                                                • +
                                                                • Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
                                                                • +
                                                                • Ability to see the big picture and guide groups with strategic thinking
                                                                • +
                                                                • Excellent time management skills and demonstrated ability to prioritize workload effectively
                                                                • +
                                                                • Degree in mathematics, statistics, computer science or related quantitative discipline

                                                                -

                                                                What will be nice to have?

                                                                +

                                                                Nice-to-have

                                                                  -
                                                                • Group retirement / pension, financial products, or relevant industry experience desired

                                                                • -
                                                                • Strong data visualization techniques using tools like Tableau and Power BI or equivalent

                                                                • -
                                                                • Experience with optimization and tuning of large data extracts for Tableau

                                                                • +
                                                                • Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
                                                                • +
                                                                • Knowledge of Canadian banking and payment industry payments transaction data and financial fraud

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • +
                                                                • Continued career advancement opportunities
                                                                • +
                                                                • Exposure to strong mentorship and leadership examples
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, and high-performing team

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                20/03/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00075120?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/191128827-senior-data-engineer-at-sun-life-financial,,expired,2023-01-30T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -280f5fe6-f894-4ef9-bbfd-5ad2e4da64fa,192003404,Shopify Inc.,Data Science Manager - Commercial Analytics,on_site,"Ontario, Canada",2023-02-02T17:42:03.542Z,"

                                                                About the role

                                                                -

                                                                Commercial Analytics improves the decision making process in the Commercial, Revenue, and Support organizations with data. We do this by enhancing the effectiveness of data measurements, providing objective analytical insights, building scalable data solutions, and maturing the data literacy in our organization. Our craft requires both good technical skills and strong business acumen. It is both an applied science and arts discipline. Currently we’re in search of a Data Science Manager. In this role you’ll be responsible for…

                                                                -
                                                                  -
                                                                • Unlocking the value from data to create better human experience in Commerce
                                                                • -
                                                                • Provide BI, data insights and decision support to empower the core business operation in the Commercial group including Revenue, Merchant Success, and Support
                                                                • -
                                                                • Provide the Core analytics capability with a bias towards building innovation solutions that can scale across different user groups in our 5000+ business unit
                                                                • -
                                                                • Lead a multidisciplinary team of analysts and data scientists to enable the business with strategic data insights to operate more effectively and efficiently.
                                                                • -
                                                                -

                                                                This work will impact the top line (growth/sales) of the company since the work helps identify areas of opportunity for our Sales org.

                                                                -

                                                                ",,https://www.shopify.com/ca/careers/data-science-manager-commercial-analytics-remote-us-or-canada_09a94d87-fdb3-4d27-8f3f-00c8ecd556bd,feed-importer@jobboard.io,,,,2023-02-24T17:39:00.000Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/192003404-data-science-manager-commercial-analytics-at-shopify-inc,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -428eca0c-283d-4ab1-ae36-513f66c9b5b4,203172185,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.866Z,"

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-AB-CALGARY, CAN-BC-VANCOUVER, CAN-NS-BEDFORD, CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-11-21

                                                                Application Deadline:

                                                                2023-04-01
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000038861/Manager-Fraud-Detection-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-03T17:21:03.923Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/206568605-manager-fraud-detection-analytics-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +9ffc6d3b-7558-4f44-9dd9-b86effef6c7d,209219019,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Mississauga || Canada : Ontario : North York,2023-03-27T17:22:03.370Z,"

                                                                -

                                                                Requisition ID: 169022

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 173481

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                What you’ll be doing…

                                                                -

                                                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                                                -

                                                                -

                                                                Is this role right for you? In this role you will:

                                                                -
                                                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +

                                                                  Purpose

                                                                  +

                                                                  Contributes to the overall success of Global Operations ensuring specific individual goals, plans and initiatives that are executed/delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end reporting lifecycle. This includes sourcing the requisite data, delivering sound data solutions to enable reporting and supporting the infrastructure and product portfolio. Ensures all development initiatives are executed and delivered with high quality and in compliance with Enterprise Security and Audit requirements

                                                                  +

                                                                  +

                                                                  Accountabilities

                                                                  +
                                                                  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                  • Designs and maintains scalable data architecture in SQL Server (on-premise and Azure) to support periodical integration, transformation, validation and analysis of financial/operational data sourced from diverse teams. Ensure data architecture is aligned with the Enterprise Technology and Data Roadmaps.
                                                                  • Work in an Agile environment, be quick to adapt and understand dynamic business requirements and be able to work with tight timelines. Proactively supports data-based decision-making across operational functions by identifying analytical prospects in operational/financial data.
                                                                  • Identify opportunities to automate processes/tasks that are manual and repetitive in nature, within the existing business process or operational process.
                                                                  • Follow iterative development principles to design, code, test, implement and support data and analytics solutions using industry best practices. Apply a consistent strategy to profile and model the data, setting a solid foundation for dashboards and ad hoc reporting.
                                                                  • Support product vision, scope and objectives based on a thorough understanding of the Business goals and requirements. Partner with source system owners across the Enterprise to acquire the necessary data to satisfy business objectives by creating data contracts and data dictionaries.
                                                                  • Skilled in XML, CSharp, Java, ASP.NET, MVC development. Responsible for developing and maintaining routines and developing UI design to load, access and extract data in Microsoft SQL Server Environment.
                                                                  • Provide sound data mining techniques and analytical methodologies to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value and insight delivered by data analysis.
                                                                  • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                  -

                                                                  -

                                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                  -
                                                                  • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                  • Strong knowledge of banking products and their data lifecycle
                                                                  • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                  • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                  • AML/ATF experience or analytic knowledge
                                                                  • Data architecture experience in cloud infrastructure
                                                                  • Bachelor's degree in business, finance, or engineering
                                                                  • Strong experience with data modelling and data analysis
                                                                  • Minimum of 3 years of relevant experience in AML/ATF
                                                                  • +

                                                                    +

                                                                    Dimensions

                                                                    +
                                                                    • Proficient in XML, Java, CSharp and ASP.NET application development
                                                                    • Data visualizations for Power BI reporting
                                                                    • All business units in Global Operations
                                                                    • Number of projects: ongoing operational reporting initiatives for the Retail and Business Banking Operations, Contact Centre, Collections and Corporate Services
                                                                    • +
                                                                    +

                                                                    +

                                                                    Qualifications

                                                                    +
                                                                    • University degree in Engineering, Computer Science, Analytics, Mathematics or related fields is required
                                                                    • 5+ years of practical experience is an asset
                                                                    • Advanced knowledge of Business Intelligence solutions, database design, data mining, profiling, and modelling techniques. Solid experience with SQL Server 2012/2016/2017, ETL, SSRS, SSAS, MDX, XML, Java, C# and ASP.NET, Unified Dimensional/Relational modelling
                                                                    • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server is an asset
                                                                    • Experience with data visualization tools (Power BI) is required
                                                                    • +
                                                                    +

                                                                    +

                                                                    Working Conditions

                                                                    +
                                                                    • Work in a standard office-based environment; non-standard hours are a common occurrence.
                                                                    -

                                                                    Please note that this is a contract position

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-17T15:45:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/203172185-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Model Risk Reporting",on_site,"Toronto, ON",2023-03-13T17:24:03.538Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Mississauga || Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-03T17:27:03.246Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/209219019-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +5f6d965d-2983-444d-bc3a-7c09f7b53b96,206568792,Scotiabank,"Manager, Application Fraud Analytics",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-03-20T17:22:01.958Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 162439

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                + +

                                                                As a Manager, Application Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                What your role will be:

                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for unsecured and secured lending products, leveraging best in class analytics.
                                                                • Report regularly on performance of existing fraud origination strategies deployed in Canadian Banking.
                                                                • Identify improvements of existing application fraud strategies, procedures, and policies.
                                                                • Maintain performance reporting on new cohorts and liaise with business partners to assess trends that may impact the business.
                                                                • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite.
                                                                • Leverage data mining tools (SAS, Python, R, SQL) to formulate application fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs.
                                                                • Lead / participate in the identification, development, and implementation of new initiatives.
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group.
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.

                                                                Skills you already have:

                                                                • A University degree in statistics, mathematics, or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding skills using SAS, Python, SQL, R, experience in large data query and manipulation.
                                                                • Experience with Citadel or similar fraud control platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors, and management
                                                                • Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Manager-Application-Fraud-ON-M3C0N5/563267317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-03T17:27:03.246Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/206568792-manager-application-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager-Application-Fraud-ON-M3C0N5/563267317/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +ac9d9ae3-245a-4392-bc8d-e86954adabac,212879102,RBC,Lead Ecosystem Data Analytics Engineer,on_site,"Toronto, ON, Canada",2023-04-06T17:16:02.477Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Lead Ecosystem Data Analytics Engineer

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                +

                                                                The Senior Analytics Ecosystem Data Engineer will provide technical insight, hands-on development and data governance best practices for Internal Audit. This role is a leadership role targeted to increase the adoption of the IA Analytics Ecosystem and Data Products. This role also contributes to IA data strategy and best practices definition within area of Data Analytics, Data Management and Data Governance standards.

                                                                +

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Partner with Audit Platform leads, data scientists, product managers and engineers to design, develop and deploy data solutions within the IA Ecosystem
                                                                • +
                                                                • Provide ongoing support for analytics processes in production on IA Ecosystem to promote operational safety and soundness and maintain end user satisfaction
                                                                • +
                                                                • Lead, Manage and Influence IA Ecosystem architecture capabilities and design decisions during the product development cycle to ensure technical development standards are being met and best practices are being followed
                                                                • +
                                                                • Active development within Data Engineering stack for a given initiative (UI, mid-tier, and back-end services) working on medium to high complexity solutions, frameworks and platforms
                                                                • +
                                                                • Work with large data sets, visualize end product and understand optimum processes to extract data and present in a solution which is understood and relevant to the business end user
                                                                • +
                                                                • Work with change management owners to identify change impact, risks, and mitigation strategies. Ensure that the approved plan is supported within the team, with stakeholders, and affected employees, and ensure that escalations are handled appropriately according to the approved plan
                                                                • +
                                                                • Strong collaboration and stake holder management; providing data and analytics solution advise to the audit business groups for relevant domain/portfolio
                                                                • +
                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                +
                                                                  +
                                                                • 4+ years’ experience in backend development expertise using Python, ETL tooling (Dataiku, Datastage)
                                                                • +
                                                                • 4+ years’ experience in development with traditional database technology (i.e. SQL, Hadoop)
                                                                • +
                                                                • Strong experience with data visualization and reporting tools – e.g. Tableau
                                                                • +
                                                                • Strong expertise in Data Platforms, developing and managing data pipelines
                                                                • +
                                                                • Expertise with tools such as GitHub, as well as software development and change management processes to manage implementation of centralized code and software releases
                                                                • +
                                                                +

                                                                +

                                                                Nice-to-have

                                                                +
                                                                • 4-Year Undergraduate STEM degree (e.g. B.Com., B. Math, B.Sc, P. Eng.)
                                                                +
                                                                  +
                                                                • Experience in developing applications using JavaScript frameworks such as Vue, React or Angular.
                                                                • +
                                                                • Strong knowledge for creation of automated unit tests, integration, end-to-end testing and DevOps practices (E.g. CI/CD).
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in an agile, collaborative, progressive, and high-performing team
                                                                • +
                                                                • The opportunity to interface with senior level executives from many different parts of the organization
                                                                • +
                                                                • This is a hybrid opportunity
                                                                • +
                                                                +

                                                                +

                                                                #LI-Hybrid

                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                The Senior Analytics Ecosystem Engineer will provide technical insight, hands-on development and data governance best practices for Internal Audit. This role is a leadership role targeted to increase the adoption of the IA Analytics Ecosystem and Data Products. This role also contributes to IA data strategy and best practices definition within area of Data Analytics, Data Management and Data Governance standards. Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-04-05

                                                                Application Deadline:

                                                                2023-05-03
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000054180/Lead-Ecosystem-Data-Analytics-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-13T17:21:07.033Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/212879102-lead-ecosystem-data-analytics-engineer-at-rbc,,expired,2023-04-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +79b59946-7b28-406a-a8bb-5c5d0a379d21,228136490,TD Bank Group,Operations Modernization Analyst Intern/ Co-op,on_site,"Ottawa, ON",2023-05-22T15:53:02.965Z,"

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                Department Overview

                                                                -
                                                                Model Risk Management (MRM) group is responsible for establishing and implementing enterprise model governance, risk and control strategies and policies. We oversee and ensure compliance with MRM requirements ensuring that the bank has an effective risk management program within its risk appetite. If you want to be a brand ambassador who can help strive efficiencies for the bank, then join our team and make an impactful contribution to TD and your own success.
                                                                +
                                                                +

                                                                Ops Modernization supports the Canadian Personal Banking Operations team through the development, support and analysis of tactical solutions. We collaborate closely with business partners to deliver a legendary experience to the distribution teams and customers. The mandate is to deliver best in class service and advice while operating within the business’ credit risk appetite and regulatory framework.

                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op/ Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:
                                                                • Leadership talks with key Leaders from across the organization
                                                                • Lunch & Learns on topics such as Innovation
                                                                • Diversity and Inclusion and Personal Branding and so much more

                                                                +

                                                                +

                                                                Job Description

                                                                -The Senior Analyst, Model Status Communications and Reporting, is an experienced analyst who can lead effective communication with a diverse set of stakeholders to report and obtain information on updated Model Risk Statuses. The individual will be responsible for compiling updates and challenging information received for monthly reporting. The ability to work efficiently and communicate effectively will be one of the keys to success. The incumbent will also lead other ongoing reporting processes including compilation of inventory for regulators, key performance indicators and validation cycle time reports. This position reports into the Senior Manager of Model Risk Management in Risk Management.
                                                                +

                                                                You will have the opportunity to work with the Ops Mod PITT Crew (Process Improvement Tools & Transformation) within the CPB Credit Operations group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements across our credit teams.

                                                                +

                                                                Job responsibilities may vary by area and may include, but is not limited to the following:

                                                                +
                                                                • Supporting the development of business tools, process improvement and tactical business solutions to increase efficiency and reduce risks across the business lines that we support.
                                                                +
                                                                  +
                                                                • Determining operational objectives by studying business functions; gathering information; evaluating output requirements and formats.
                                                                • +
                                                                • Designing new computer programs by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
                                                                • +
                                                                • Improving systems by studying current practices, designing modifications
                                                                • +
                                                                • Recommending controls by identifying problems, writing improved procedures
                                                                • +
                                                                • Defining project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
                                                                • +
                                                                • Monitoring project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
                                                                • +
                                                                • Maintaining system protocols by writing and updating procedures
                                                                • +
                                                                • Providing references for users by writing and maintaining user documentation; providing help desk support; training users
                                                                • +
                                                                • Maintaining user confidence and protects operations by keeping information confidential
                                                                • +
                                                                • Preparing technical reports by collecting, analyzing, and summarizing information and trends
                                                                • +
                                                                • Maintaining professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies
                                                                • +
                                                                • Contributing to team effort by accomplishing related results as needed
                                                                • +
                                                                +

                                                                Requirements

                                                                  -
                                                                • 5 years of proven experience leading communications and engagement activities in large, complex enterprise programs, preferably related to Model Risk Management or closely related field, in a large bank, consulting firm or regulator is preferred.
                                                                • -
                                                                • Model risk management experience is preferred (model governance, model risk audit, model validation, model development), though candidates with other experience are most welcome to apply but should connect their backgrounds to the description above.
                                                                • -
                                                                • Programming skills are an asset, though not essential (SQL, VBA, Python, etc.)
                                                                • -
                                                                • Excellent interpersonal and communication skills, written and oral
                                                                • -
                                                                • Must be detail oriented and organized while working with the third party/cross-functional dependencies and tight deadlines pressure.
                                                                • -
                                                                • Ability to navigate relationships and collaborate with stakeholders across the enterprise
                                                                • -
                                                                • Ability to understand technical knowledge and transform it into digestible, simple, and clear communications
                                                                • -
                                                                • Strong organizational and project management skills, with the ability to work in a fast paced environment and manage multiple deadlines and competing priorities
                                                                • +
                                                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field with the intent of going back to school at the start of your work term
                                                                • +
                                                                • Excellent communication skills, and ability to convey complex information concisely and with clarity
                                                                • +
                                                                • Highly developed critical thinking and ability to deliver actionable recommendations in a timely manner
                                                                • +
                                                                • Well organized, flexibility to adapt and manage within a fast-paced, dynamic business environment
                                                                • +
                                                                • Experience developing or designing tools, data queries or applications.
                                                                • +
                                                                • Java, JSON, VBA, SQL Coding knowledge and experience are an asset.
                                                                • +
                                                                • Proficiency in Excel, data querying, data processing, and visualization tools.
                                                                • +
                                                                • Proficiency in PowerPoint and developing clear and compelling business presentations.
                                                                • +
                                                                • Excellent problem-solving skills, with a demonstrated ability to think strategically and synthesize information quickly.
                                                                • +
                                                                • Strong analytical and communication skills, with the ability to communicate clearly and concisely (written and verbally) to a broad audience.
                                                                • +
                                                                • Ability to independently manage deadlines while multitasking between different projects.
                                                                • +
                                                                • High degree of numeracy, including experience with financial modeling/forecasting.
                                                                • +
                                                                • Experience working with large and discrete forms of data, and designing analytics with the objective of surfacing insights and providing recommendations.
                                                                • +
                                                                • Highly developed presentation and communication skills (verbal and written).
                                                                • +
                                                                • Ability to work in a team environment.

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                #LI-Remote
                                                                #LI-Onsite
                                                                +
                                                                  +
                                                                • This position is a 4-month work term and will commence September 5th – December 22nd, 2023
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages)
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • You must be enrolled at a college/university program to qualify for this Co-op/Internship opportunity
                                                                • +

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                Start Date

                                                                +
                                                                – Fall

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-16T17:29:06.218Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/204323269-senior-analyst-model-risk-reporting-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6fae9bfc-afac-4efd-96bc-931992e7e474,203174067,BenchSci,Senior Machine Learning Engineer - NLP (Remote),full,"Toronto, Ontario Remote",2023-03-09T17:39:07.531Z,"
                                                                -
                                                                We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.
                                                                -

                                                                -
                                                                Reporting to the Engineering Manager, ML, you'll apply your domain expertise to design and build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                -
                                                                -
                                                                -

                                                                You Will:

                                                                -
                                                                    -
                                                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • -
                                                                  • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                                                                  • -
                                                                  • Improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • -
                                                                  • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                                                                  • -
                                                                  • Own the solutions and long-term technology investments to drive innovation at BenchSciWork cross-functionally with different team members including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                                                                  • -
                                                                  • Contribute to sprint planning, estimation, and design/code reviews
                                                                  • -
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • -
                                                                  • Establish and apply best industry practices
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                You Have:

                                                                -
                                                                    -
                                                                  • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                                                                  • -
                                                                  • Experience with Python and programming fundamentals; extensive experience with NLP and PyTorch
                                                                  • -
                                                                  • Experience with designing, building, and evaluating robust and scalable production-ready ML models
                                                                  • -
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas
                                                                  • -
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-03-16T17:44:02.807Z,False,0,8,44,https://talenthub.vectorinstitute.ai/jobs/203174067-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8,expired,2023-03-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -01c82e1a-848a-49c1-a79c-d20b4bfa0c69,202112585,CIBC,"Data Scientist, Pricing",on_site,"Ontario, Canada",2023-03-06T17:06:03.618Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What you\'ll be doing

                                                                -

                                                                As a Sr. Consultant, Pricing, you will be looking at and optimizing our pricing, in particular on our RESL businesses, working with stakeholders across our team, businesses, and partner groups, in particular our Finance and Treasury teams. You will strive to ensure that our growth, revenue, and client experience are appropriately balanced, with an overall objective of maximizing our business performance.

                                                                -

                                                                -

                                                                As part of Simplii’s data and analytics team within the Direct Financial Services line of business and Capital Markets business unit, you will be a key participant in building the bank of the future. We use a wide range of capabilities, spanning from business intelligence to machine learning, to grow our businesses with data. You will work alongside a group of knowledgeable professionals and technology partners in a fast-paced and collaborative environment with an overarching mandate to meet our growth objectives.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T15:58:02.233Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/228136490-operations-modernization-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,expired,2023-05-22T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a9d5ccbe-6f53-4ec5-88f0-1a1c0ca90958,226183734,Scotiabank,"Vice President, Data and Analytics Technology",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.544Z,"

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 178107

                                                                We are committed to investing in our employees and helping you continue your career at Scotiabank.

                                                                +

                                                                +

                                                                +

                                                                + +

                                                                Purpose

                                                                The Vice President, Data and Analytics Technology will be responsible for the delivery of data and analytics solutions globally, leading the direction and strategic alignment of reusable data and analytics at scale, and ensuring business strategies, plans, and initiatives are supported in compliance with governing regulations, internal policies, and procedures.

                                                                Accountabilities

                                                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting analytics.
                                                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting enterprise data platforms.
                                                                • Develop and deliver data and analytics technology solutions globally, leveraging innovative and sustainable solutions.
                                                                • Be a trusted advisor and key strategic influencer directly supporting Customer Insights Data & Analytics.
                                                                • Enable advanced analytics, AI / machine learning, enterprise wide, to maximize business results.
                                                                • Prioritize, develop, scale, and manage technology supporting enterprise data and analytics.
                                                                • Influence key stakeholders within the data and analytics space, as well technology.
                                                                • Have deep knowledge of key technologies supporting the Bank’s strategy, including but not limited to data and analytics.
                                                                • Understand how the Bank’s systems work and how enhancements can create operational efficiencies.
                                                                • Enable a culture that promotes critical thinking, change leadership, and sharing best practices.
                                                                • Lead and drive a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Direct day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits; communicate the Bank’s risk culture and risk appetite statement throughout their teams.
                                                                • Create an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • Build a high-performance environment and implement a people strategy that attracts, retains, develops, and motivates their team.
                                                                • Foster an inclusive work environment; communicate vison/values/business strategy; manage succession and development planning for the team.

                                                                Education / Experience

                                                                +
                                                                • Bachelors or higher degree in Computer Science, Engineering, Mathematics, Analytics, Finance and/or Artificial Intelligence.
                                                                • Minimum 10 years of demonstrated experience leading technology delivery, preferably in Financial Services.
                                                                • Experience working with Big Data, NoSQL, Hadoop, Hive, Kafka, Docker, Kubernetes, Public Cloud (Azure/GCP), or others; AI and machine learning preferred.
                                                                • Experience integrating business and technology teams.
                                                                • +
                                                                +

                                                                +

                                                                The Vice President, Data and Analytics Technology will exercise strategic influence over the Bank’s data and analytics design, governance, and associated processes, and requires the following:

                                                                +

                                                                +
                                                                • Expert knowledge of the data and analytics industry, including trends, best practices, and methodologies.
                                                                • Strong stakeholder management, ability to influence in a complex matrix environment and build relationships.
                                                                • Deep knowledge of advanced analytics, AI, and machine learning; ability to deliver measurable results through data and analytics.
                                                                • Strong ability to balance competing or conflicting goals of various departments / countries / stakeholders; highly developed negotiation and influencing skills.
                                                                • Strong leadership and team building skills to create and sustain highly motivated groups within diverse and multi-functional reporting units.
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-29T15:57:04.280Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/226183734-vice-president-data-and-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, +129d42a5-9849-437e-9d6d-69a425260395,231447106,Loblaw Companies Ltd,"Data Analyst, Product",on_site,"Ontario, Canada",2023-06-01T15:41:01.711Z,"
                                                                +

                                                                Referred applicants should not apply directly to this role.

                                                                +

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                -

                                                                How you\'ll succeed

                                                                -
                                                                  -
                                                                • Familiarity with finance and treasury: Working with Treasury funding information, you are comfortable with drawing insights from it

                                                                • -
                                                                • Strong analytical knowledge: Integrating and manipulating a variety of data sources and jointly optimizing growth and revenue, while assessing performance and future opportunities

                                                                • -
                                                                • Organization and attention to detail: You have the discipline and communication skills to manage complex initiatives and meticulously ensure consistency in a wide ranging set of analyses

                                                                • -
                                                                • Stakeholder management: Working with partners in Simplii and across the bank to continuously stay on top of a changing business environment

                                                                • -
                                                                +

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                +

                                                                When you hire great people, great things can happen.

                                                                +

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                -

                                                                WHO YOU ARE

                                                                -
                                                                  -
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • -
                                                                • You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                                                                • -
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • -
                                                                • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                                                • -
                                                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • -
                                                                • You can demonstrate experience in technical knowledge – SQL, Python, and solid knowledge of data sourcing, manipulation and optimization.

                                                                • -
                                                                • You have a quantitative background with a PhD in Computer Science, Economics, Operations Research or equivalent experience. Working experience in a similar role would be beneficial

                                                                • -
                                                                +

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                -

                                                                What CIBC offers

                                                                +

                                                                Why This Role is Important:

                                                                +

                                                                The mandate of our Payment Decision Support, Product and Insights team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will be responsible for providing accurate, timely and practical insights and reporting solutions to enable evidence-based decisions for the Product department.

                                                                +

                                                                +

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                What You\'ll Do:

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                • +
                                                                • Be hands-on coding - extracting, preparing, and analyzing large data sets
                                                                • +
                                                                • Work with partners across the organization to provide data support on business initiatives
                                                                • +
                                                                • Apply sophisticated analytics and build models to understand our customers and discover business opportunities.
                                                                • +
                                                                • Interact with partners at various levels to perform data analysis and advanced analytics use-cases centered in Marketing Analytics.
                                                                • +
                                                                • Create business critical end-to-end reporting and data processes: Perform ad-hoc analysis based on heterogeneous data sources to support business teams.
                                                                • +
                                                                • Strictly adhere to legal guidelines regarding working with sensitive and confidential information
                                                                +

                                                                +

                                                                -

                                                                -

                                                                What you need to know

                                                                +

                                                                What You\'ll Need:

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • 1-2 years experience in a similar role, preferably in financial services/banking domain
                                                                • +
                                                                • Be curious to understand business problems. Passionate in telling a story through data.
                                                                • +
                                                                • Proven understanding of relational databases and SQL data extraction and manipulation tools
                                                                • +
                                                                • Understanding of data warehouse and data mart concepts
                                                                • +
                                                                • Hands on with Python and SAS. Modeling experience is a bonus
                                                                • +
                                                                • Experience with BI tools and Cloud technology, such as Tableau and Google Cloud Platform.
                                                                • +
                                                                • Sound communication skills with the ability to work independently and as a team player
                                                                • +
                                                                • Demonstration of problem-solving using combination of technical know-how, soft skills, and business acumen
                                                                • +
                                                                • Strong analytical and conceptual thinking and can learn quickly
                                                                • +
                                                                • Able to plan and prioritize effectively
                                                                • +
                                                                • Experience in any of the following areas would be considered an asset: financial services/banking, credit cards/payments, credit risk, marketing campaigns
                                                                • +
                                                                • University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics +

                                                                +

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-33 Yonge Street, 7th

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Business Objectives, Cost Consulting, Machine Learning, Price Setting, Pricing Analysis
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Pricing_2303456?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-16T17:11:05.286Z,False,0,12,36,https://talenthub.vectorinstitute.ai/jobs/202112585-data-scientist-pricing-at-cibc,,expired,2023-03-06T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -6787fc86-9f94-41d1-9923-4e9c7304d859,204199151,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-03-12T17:12:01.768Z,"
                                                                -

                                                                Address:

                                                                33 Dundas Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                                                +

                                                                Number of Openings:

                                                                1

                                                                +

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                -

                                                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                                                -
                                                                  -
                                                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • -
                                                                • Focus may be on a business/group.

                                                                • -
                                                                • Thinks creatively and proposes new solutions.

                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • -
                                                                • Works mostly independently.

                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                • -
                                                                -

                                                                -

                                                                Qualifications:

                                                                -
                                                                  -
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                                                • -
                                                                • Experience in working with and linking big data sets across multiple sources.

                                                                • -
                                                                • Proficient in Microsoft Office.

                                                                • -
                                                                • Strong analytical and problem-solving skills.

                                                                • -
                                                                • Strong business communication and stakeholder management skills.

                                                                • -
                                                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                +

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                +
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--Product_R2000344244?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-08T20:55:00.000Z,False,0,13,26,https://talenthub.vectorinstitute.ai/jobs/231447106-data-analyst-product-at-loblaw-companies-ltd,,expired,2023-06-01T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +0a49c277-6f79-4216-b979-53828313475f,263354232,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-08-24T16:23:02.751Z,"
                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                Workplace Model

                                                                +
                                                                Hybrid

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Pay Details

                                                                +

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-16T17:17:02.354Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/204199151-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-03-12T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -28d8411f-988a-49f0-8566-2e1490b0e639,205321390,OMERS,"Data Engineer, Investment Finance",on_site,"Ontario, Canada",2023-03-16T17:42:03.300Z,"
                                                                -

                                                                -

                                                                -

                                                                The Data Engineer, Investment Finance will report to the Manager, Financial Systems & Workflows, Investment Finance and will be responsible for supporting the Investment Finance team through designing, developing, implementing and maintaining the departmental data strategy that capitalizes on low-code solutions to enable robust data, analytics, and reporting, as well as playing a key role in collaborating with the stakeholders to identify data requirements and providing insightful analytic data and visualization solutions. The role requires an understanding of finance and investment data with a keen desire to explore new technologies and implement innovated solutions.

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                +

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                +

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                +
                                                                +

                                                                +

                                                                Job Details

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team’s progress and create innovative new ways improve your overall performance.

                                                                +

                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                +

                                                                As a Data Scientist I, you will be supporting Financial Reporting Control(FRC) Data & Analytics function to deliver:

                                                                +
                                                                1.CCOA and Attestation Dashboard Maintenance and Development
                                                                +
                                                                §Quality checks, data integration and refresh of various reports used for policy governance.
                                                                +
                                                                §Undertake additional analysis related to exceptions and trends – produce governance and exception reporting e.g., significant period over period changes, analyze QoQ changes in attestations, etc.
                                                                +
                                                                §Create reports for FRC’s oversight and monitoring mandate including business rules & data lineage for various reports, reports for submission to Internal Audit for remediation testing, progress updates for Project Lotus, etc.
                                                                +
                                                                §Add and operationalize incremental metrics related to new policy requirements, monitoring and oversight.
                                                                +
                                                                2.Operationalization of Chart of Accounts Policy (CCOA Policy)
                                                                +
                                                                §Ongoing development and enhancements to key metrics and KPIs to monitor policy compliance
                                                                +
                                                                §Assist to remediate gaps identified in chart of accounts governance and end-to-end oversight control
                                                                +
                                                                §Support implementation of controls and monitoring for CCoA Policy implementation e.g.,
                                                                +
                                                                Tracking of newly opened GL accounts & dimensions, oversight of dynamically open accounts by business segment & source
                                                                +
                                                                Tracking of closed, deleted & purged account in various GL systems
                                                                +
                                                                Development & operationalization of new oversight metrics
                                                                +
                                                                +
                                                                3.Ongoing daily support (examples below)
                                                                +
                                                                §Support FRC in its ongoing oversight mandate for various control & oversight activities as required – example include completeness checks at quarter ends, exceptions reporting, variance root cause analysis etc.
                                                                +
                                                                §Defining target audience for training based on mandatory roles and nominations from various teams. Extract details like emails and ACF2’s
                                                                +
                                                                §Tracking registrations, attendance and pending to date. Manage module in dashboard on trainings assignments and completeness
                                                                +
                                                                §Others ad hoc support examples include
                                                                +
                                                                Work with different teams on identifying Transit/Suspense/Cash account
                                                                +
                                                                Support ARCs discussions & requirements and reviewing new logic for ARCS data feed
                                                                +
                                                                +Support FRC on Business segment breakdown
                                                                +
                                                                4.Support Future Ongoing Enhancements
                                                                +
                                                                §Re-configure to ARCs : Data engineering and platform update to switch attestation & reconciliation data from current tools (ACATT, Trintech) to ARCs
                                                                +
                                                                §Move to Cloud : Migration to Akora on Cloud from Akora on Prem
                                                                +
                                                                §Automation :
                                                                +
                                                                Efforts to automate parts of data sourcing & ingestion (as feasible)
                                                                +
                                                                Enhancing data source to minimize sideloading process (onboard data to Akora)
                                                                +
                                                                +

                                                                +

                                                                Job Requirements

                                                                +
                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Advanced Big Data Processing

                                                                +
                                                                §Advanced coding in data processing tools like Python, PySpark, Databrick.
                                                                +
                                                                §Perform activities like data modeling, integrating files, record roll-up & attribution, deriving analytical attributes etc.
                                                                +
                                                                +§Link big data platform to BI tools using data connectors

                                                                +
                                                                Advanced Tableau
                                                                +
                                                                §Developing new views – ability to design & develop complex views & metrics
                                                                +
                                                                §Updating existing views – update parameters, refresh data to update existing modules, perform QC, optimize load time
                                                                +
                                                                +Business Knowledge

                                                                +
                                                                §Good understanding of General Ledgers & Accounting, Governance & Controls and associated data structures
                                                                +
                                                                §Familiarity with Attestation & Reconciliation processes & tools
                                                                +
                                                                §Knowledge of key terms & KPI’s related to policy, controls, governance and oversight activities & processes
                                                                +

                                                                Project Management

                                                                +
                                                                §Ability to understand metrics & validate with business partners, conduct Demos to gather feedback
                                                                +
                                                                §Maintaining various mapping files and prepare & prioritize backlog for platform enhancements & any fixes
                                                                +
                                                                §Documentation Skills like drafting Technical Documentation, Business & System Requirements, PowerPoints
                                                                +
                                                                §Perform data QC & completeness checks and undertake root-cause analysis in cause of any discrepancies
                                                                +
                                                                +
                                                                +

                                                                -

                                                                CORE RESPONSIBILITIES:

                                                                -
                                                                  -
                                                                • Develop, implement and the support the Investment Finance data strategy to manage structured and unstructured data that integrates the data into a data solution to support BI solutions, reporting and business processes
                                                                • -
                                                                • Provide innovative data solutions by working with stakeholders and across functional areas to understand and gather data objectives, and identify opportunities for improvement for data analysis, reporting and visualizations
                                                                • -
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, and databases, and to make them accessible for various applications and reporting tools that enable analytics and reporting
                                                                • -
                                                                • Automate manual processes and optimize data ingestion and delivery to support departmental data needs, reporting and business processes
                                                                • -
                                                                • Partner with the Investment Finance Business Analysts to develop reports and PowerBI dashboards
                                                                • -
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • -
                                                                • Work across functional areas (with team members, investment professionals and leaders) to understand and identify data objectives, and provide solutioning that supports analytics, reporting and downstream data requirements
                                                                • -
                                                                +

                                                                Company Overview

                                                                +
                                                                +Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                +

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                +

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                +

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                +

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                +

                                                                +

                                                                Inclusiveness

                                                                +
                                                                +Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                +

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                +

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                +

                                                                We look forward to hearing from you!

                                                                +

                                                                -

                                                                QUALIFICATIONS:

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-28T16:28:02.269Z,False,0,16,50,https://talenthub.vectorinstitute.ai/jobs/263354232-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18892184/data-scientist-i-toronto-ca/,expired,2023-08-24T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +ec3b78db-a803-45ce-9eeb-8da98d7b13ee,253577065,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2023-07-31T16:04:03.083Z,"
                                                                +
                                                                +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of like-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +
                                                                +

                                                                +
                                                                Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                +

                                                                +
                                                                BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada.
                                                                +
                                                                +

                                                                You will:

                                                                +
                                                                    +
                                                                  • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                  • +
                                                                  • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                  • +
                                                                  • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                  • +
                                                                  • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                  • +
                                                                  • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                  • +
                                                                  • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                  • +
                                                                  • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment.
                                                                  • +
                                                                  • Participate and contribute to Agile grooming, planning and estimation.
                                                                  • +
                                                                  • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                  • +
                                                                  • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                  • +
                                                                  • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                  • +
                                                                +
                                                                +

                                                                You have:

                                                                +
                                                                    +
                                                                  • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                  • +
                                                                  • Strong experience with NLP and LLMs.
                                                                  • +
                                                                  • Strong experience with Python and programming fundamentals.
                                                                  • +
                                                                  • Extensive experience with PyTorch.
                                                                  • +
                                                                  • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                  • +
                                                                  • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                  • +
                                                                  • Experience with data manipulation and processing, such as SQL or pandas. Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                  • +
                                                                  • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                  • +
                                                                  • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty. Strong cross-team communication and collaboration skills.
                                                                  • +
                                                                  • A growth mindset and a constant desire to learn.
                                                                  • +
                                                                +
                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-30T17:37:58.206Z,False,0,10,79,https://talenthub.vectorinstitute.ai/jobs/253577065-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/125162c7-9db0-43cf-abbe-d096b69eefb5,expired,2023-07-31T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-11-15T17:42:01.840Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                +

                                                                Join our team and what we\'ll accomplish together

                                                                +


                                                                We are looking for an enthusiastic Lead Data Engineer who can help us bring focus, flow, and joy to all developers at TELUS as part of our Platform Engineering team.

                                                                We believe that a strong data science competency is required at TELUS for our business to be successful, and that happy humans build fantastic software. And so our calling is to improve developer focus, flow, and joy at TELUS. This means implementing changes to our systems and processes to make developer platform insights into reality.

                                                                +

                                                                What you will do

                                                                  -
                                                                • Strong experience with data management, investment systems, business intelligence, and reporting technologies
                                                                • -
                                                                • Experience working with complex data structures and developing efficient queries to create calculated fields and data aggregates (5+ years)
                                                                • -
                                                                • Relevant experience in data science and analytics in creating/maintaining investment and financial data models (5+ years)
                                                                • -
                                                                • Proven experience designing and developing dashboards using PowerBI (3+ years)
                                                                • -
                                                                • Proficient in ETL tools (such as Alteryx), cloud-based data platforms/systems (such as Azure, Snowflake), process automation, and standardization
                                                                • -
                                                                • Strong communication skills (written and verbal), with strong team orientation and great customer focus -
                                                                • -
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • -
                                                                • Good understanding of investment and finance products
                                                                • -
                                                                • Data governance experience is an asset
                                                                • -
                                                                • Track of record working in a role that intersects with business and technical analysis to support existing solutions, delivering new solutions, and contributing to investment system implementations and upgrades
                                                                • -
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field
                                                                • +
                                                                • Lead a team of data engineers, data analysts and developers on our journey to strengthen the developer experience through all data ingested, secured, managed, processed and analyzed on our metrics platform
                                                                • +
                                                                • +Lead initiatives that will improve focus, flow, and joy for software developers across the organization
                                                                • +
                                                                • Work with equally smart, grounded and collaborative individuals, as well as down-to-earth leaders who get stuff done and deliver measurable results
                                                                • +
                                                                • Lead challenging and interesting problems, and strive to do the right thing, the right way and continuously improve via KPIs
                                                                • +
                                                                • Innovate every day and have the freedom to contribute your ideas
                                                                • +
                                                                • Drive the development of data analytics strategy by developing and enhancing data democratization principles
                                                                • +
                                                                • Present our users with relevant, actionable and timely data to improve on software development KPIs such as stability, velocity and availability
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Investment-Finance_JR-4607?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-20T17:47:03.917Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/205321390-data-engineer-investment-finance-at-omers,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7213ee2e-bb4b-48f7-83d6-5c12382dfad6,210217845,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-03-30T17:06:03.566Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                -

                                                                Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                                                                -

                                                                -

                                                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                                                -

                                                                -

                                                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                -

                                                                -

                                                                How You’ll Succeed

                                                                -
                                                                  -
                                                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • -
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • -
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • -
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                                                • -
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • -
                                                                -

                                                                -

                                                                Who You Are

                                                                -
                                                                  -
                                                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                                                • -
                                                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                                                • -
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                                                • -
                                                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                                                • -
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • -
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • -
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • -
                                                                -

                                                                -

                                                                What CIBC Offers

                                                                -

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                -
                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • -
                                                                -

                                                                -

                                                                What you need to know

                                                                -
                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Location

                                                                161 Bay Street, 39th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/210217845-director-treasury-quantitative-analytics-at-cibc,,expired,2023-03-30T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -3096d754-5671-44c3-844f-0ffa00f2b303,214825258,Scotiabank,"Manager, Data Platforms Risk & Audit Management - CID&A",on_site,Canada : Ontario : Toronto,2023-04-13T17:22:03.270Z,"

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 175932

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -

                                                                The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                                                                -

                                                                -

                                                                The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                                                                -

                                                                -


                                                                Accountabilities:

                                                                -

                                                                -

                                                                • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                                                                • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                                                                • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                                                                • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                                                                • Support and maintain Data Platforms risk and audit related documentation and tools
                                                                • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                                                                • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                                                                • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                                                                • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                                                                • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                                                                • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                                                                -

                                                                -

                                                                What we're looking for:

                                                                -

                                                                -

                                                                • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                                                                • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                                                                • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                                                                • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                                                                • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                                                                • Attention to details, high standards for quality.

                                                                -


                                                                It would be nice if you had...

                                                                -

                                                                -

                                                                • Experience in IT audit, cloud implementations and data migrations.
                                                                • Knowledge of Google Cloud Platform data capabilities.
                                                                • Experience auditing business applications including application controls, access, and security administration.
                                                                • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                                                                • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                                                                • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                                                                • Bilingual in Spanish would be an asset.

                                                                -

                                                                -


                                                                Requirements & Qualifications:

                                                                -

                                                                -

                                                                • Post-Secondary education completed. Advanced degree preferred but not mandatory
                                                                • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                                                                • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                                                                -

                                                                +

                                                                The platform engineering team is delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data,

                                                                +

                                                                We are entrepreneurial and passionate, we believe that anything is possible and can be achieved by innovative and meaningful outcomes for our customers, team members and that through meaningful and impactful endeavors we can integrate dynamic change in our professional lives.

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214825258-manager-data-platforms-risk-audit-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -25bfe15f-d8ef-4ae5-a557-4b9417085037,213973185,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-04-10T17:24:01.875Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. Key objectives include driving business value, adopting key platforms, upholding reporting principles, simplifying and optimizing operations, supporting an inclusive environment and enhancing the colleague experience. The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Job Description

                                                                Data & analytics is something you’re passionate about. Leading the Fraud Analytics and Reporting pod, you will work closely with partners in Fraud Strategy and Fraud Operation to determine analytical solutions that will drive performance, risk and mitigation strategies that align with business objectives.
                                                                Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                Sound good so far? Fantastic! We are looking for an experienced BI Specialist/Product Owner to own and deliver on a portfolio of highly complex Fraud reports/dashboards in collaboration with a large, diverse and inclusive team of data, analytics, and reporting practitioners. Together, you’ll help champion best-in-class business intelligence capabilities by measuring and driving value for business stakeholders, focusing on stories that drive action, align with standardized reporting principles, and enhancing our colleague experience.

                                                                As a Business Intelligence Specialist / Product Owner, you will:

                                                                -
                                                                  -
                                                                • Lead discussions intended to unlock and identify Fraud business drivers, definitions and metrics in order to interpret findings, act and provide strategic direction.
                                                                • -
                                                                • Prioritize and manage the Fraud portfolio reporting backlog, working with Fraud executives and analytics teams to define clear reporting requirements for new outputs. Continuously iterate, ensuring that features and user stories are scoped and prioritized;
                                                                • -
                                                                • Collaborate with data owners to identify data elements and business leads to elicit information requirements and articulate those requirements in a manner that can be easily understood by data and reporting delivery pods;
                                                                • -
                                                                • Deliver and/or review presentations and communications to executive audiences and various working groups;
                                                                • -
                                                                • Have a deep understanding of business / technology, organizational practices and disciplines;
                                                                • -
                                                                • Plan effective test and learn scenarios for various programs or scenarios, leading a cross functional pod towards a singular objective;
                                                                • -
                                                                • Adhere to internal policies/procedures and applicable regulatory guidelines, contribute to the review of internal processes and activities and assist in identifying potential opportunities to improve operational efficiencies;
                                                                • -
                                                                • Manage issues raised by business stakeholders and work with delivery partners to streamline and improve existing reporting to eliminate errors and redundancies;
                                                                • -
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues;
                                                                • -
                                                                • Provide on-going communications on project status and systems capabilities, participate in agile ceremonies (standups, planning, retros, showcases), express new ideas for improving product value;
                                                                • -
                                                                • Work with colleagues and stakeholders located in various remote sites, generally US or Canada;
                                                                • -
                                                                • Generally, focus on broad range of complex issues that may span from medium – long term issues (e.g. 6-12 months).
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Job Requirements

                                                                -
                                                                  -
                                                                • The ideal candidate should have 7+ years of relevant experience in business or financial reporting/business data analysis and reporting, knowledgeable and savvy with new technology and tools preferably within the global financial services / financial crimes and fraud management industries;
                                                                • -
                                                                • Demonstrated relationship building skills – strong collaborator who successfully engages executive leadership, business-line and infrastructure/support partners in a matrix environment, gives direction to colleagues and, makes things happen through using positive influence. Experience leading ‘Design Thinking’ sessions would be an asset;
                                                                • -
                                                                • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo;
                                                                • -
                                                                • Energetic, enthusiastic, pro-active self-starter – willing to “roll up the sleeves” to deliver results in the short-term while building for the long-term; agile, adaptable, ‘can-do’ attitude, high degree of responsiveness and initiative;
                                                                • -
                                                                • Excellent oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion (for executive-level consumption);
                                                                • -
                                                                • Robust organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities, with a proven track record of executing with excellence and making an impact.
                                                                • -
                                                                • Comfortable accessing large data sources, performing mining, extractions and manipulations to uncover relevant data findings and big-picture stories;
                                                                • -
                                                                • Very strong working knowledge of MS Excel, MS PowerPoint, MS Access, MS Word, MS Outlook, MS OneNote;
                                                                • -
                                                                • Background building and using business intelligence, analytics and/or data visualization tools (e.g. Tableau, Alteryx, PowerBI, etc.);
                                                                • -
                                                                • Experience developing and maintaining reporting environments across multiple platforms (e.g. Star Schema, ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, VBA, SAS, Hadoop, R, Python, etc.);
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid #businessintelligence
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/213973185-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -429b9cec-70b6-4bc9-be5a-81af9d7f949f,217073599,Scotiabank,Data Scientist - CID&A,on_site,Canada : Ontario : Toronto,2023-04-20T17:22:03.621Z,"

                                                                +

                                                                We intend to shape the future of how machine learning, data processing and analysis can drive TELUS through insights that solve releasing software to production on-demand.

                                                                +

                                                                Help architect the future of our enterprise data solutions and leverage the best of Google Cloud’s data management, analysis and machine learning capabilities and drive forward our data strategy.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Here’s how

                                                                +

                                                                -

                                                                Requisition ID: 176950

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +
                                                                  +
                                                                • Overseeing the team that builds and iterates data pipelines to process data either where it lives, or across boundaries into a single system.
                                                                • +
                                                                • Analyze datasets, build data relationships and models to generate reports, meaningful insights and machine learning automation to support the business
                                                                • +
                                                                • Build a cohesive data platform that extends between the cloud and our data centers which can ingest, transform and process data.
                                                                • +
                                                                • Support operational efficiencies across our people, software engineering processes, management and our technical programs by leveraging data retrieved from our systems and tools.
                                                                • +
                                                                • Lead the team supporting the data pipelines feeding into our machine learning algorithms and models. Explore the latest tools and API’s that can help optimize our Machine Learning operations.
                                                                • +
                                                                • Lead the team to assist the extracting, loading, transforming, cleaning, and validating of data from both inside and outside of Telus.
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +


                                                                +

                                                                What you bring

                                                                -

                                                                Purpose:

                                                                +
                                                                  +
                                                                • +You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                                                                • +
                                                                • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning
                                                                • +
                                                                • Realize the vision of Data Democratization for software delivery metrics. Educate our customers on how to work with data to improve and reap the rewards
                                                                • +
                                                                • AI/ML tools expertise
                                                                • +
                                                                • GCP Professional Data Engineering certification
                                                                • +
                                                                • Google Cloud Dataflow and Google BigQuery experience
                                                                • +
                                                                • Orchestration and job scheduling platforms experience
                                                                • +
                                                                • Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, DataLooker, Dataprep, Composer, etc)
                                                                • +
                                                                • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems
                                                                • +
                                                                • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                                                                • +
                                                                • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                                                                • +
                                                                • Communication skills to ensure effective management of relationships, prepare presentations for leadership consumption.
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Burnaby-L5-Software-Development-Brit/565119317/,feed-importer@jobboard.io,,,,2022-12-17T14:19:22.702Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/167456282-lead-data-engineer-at-telus,,expired,2022-11-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Masters Degree,New Posting, +207d16fb-bf0f-4861-9117-f8380293b67b,167802348,KPMG,Senior Consultant - Data Analyst,on_site,"Toronto, Canada",2022-11-16T17:26:02.394Z,"Overview

                                                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                Our Governance, Risk and Compliance Services (GRCS) team is growing and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

                                                                  +
                                                                • Learn more about Risk Consulting here
                                                                • +
                                                                • Learn more about our Toronto office here
                                                                • +

                                                                What you will do

                                                                As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                                                                  +
                                                                • Work closely with clients and partners in understanding key business issues on digital opportunities
                                                                • +
                                                                • Gather and analyze requirements to develop impactful recommendations and solutions
                                                                • +
                                                                • +Utilize advanced analytical techniques to solve challenging business problems to identify areas of risk, opportunities and recommend solutions for our clients. Leverage a diverse set of technologies and tools to deliver insights +
                                                                • +
                                                                • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, data management, data governance, reporting, visualization and/or intelligent automation
                                                                • +
                                                                • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
                                                                • +
                                                                • Work with large volumes of data (structured and unstructured)
                                                                • +
                                                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
                                                                • +
                                                                • Bridge the gap between technical platform needs and business issues
                                                                • +
                                                                • Effectively communicate orally and written with peers within GRCS, KPMG and the client
                                                                • +

                                                                What you bring to the role

                                                                You have strong work experience and academic record and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                                                                  +
                                                                • Strong experience of 3-5 years, working with different kinds of messy, real-world data from a variety of databases
                                                                • +
                                                                • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration, and can achieve personal and professional success while juggling competing priorities and deadlines
                                                                • +
                                                                • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
                                                                • +
                                                                • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                                                                • +
                                                                • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
                                                                • +
                                                                • Experience in data governance, data quality, data processing, and data controls
                                                                • +
                                                                • Client-facing or consulting experience
                                                                • +
                                                                • Experience communicating insights or ideas through presentations and meetings
                                                                • +
                                                                • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset
                                                                • +
                                                                • Ability to explain data and analytics concepts to non-technical team members.
                                                                • +
                                                                • Ability to apply data and analytics concepts to business problems.
                                                                • +
                                                                • Ability to understand and explain business value of data and analytics concepts
                                                                • +
                                                                • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                                                                • +
                                                                • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                                                                • +
                                                                • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                                                                • +
                                                                • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                                                                • +

                                                                Keys to your success:

                                                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                Providing you with the support you need to be at your best



                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                Our Values, The KPMG Way

                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                                                ",,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-12-17T14:35:21.678Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/167802348-senior-consultant-data-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,expired,2022-11-16T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +75b2c4fc-23d8-47dd-9e81-31c42ddc97e5,178100528,Scotiabank,"Senior Manager, Retail Deposit Analytics",on_site,Canada : Ontario : Toronto,2022-12-16T17:22:02.604Z,"

                                                                -

                                                                Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills. The incumbent uses their advanced analytical skills to develop analytical assets that will help the Bank achieve its business objectives.

                                                                -

                                                                The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.

                                                                -

                                                                Excellent written and communication skills are required and the Data Scientist will work closely with the Senior Data Scientist to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

                                                                -

                                                                -

                                                                Major Accountabilities:

                                                                +

                                                                Requisition ID: 169202

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -
                                                                • Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
                                                                • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
                                                                • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
                                                                • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
                                                                • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
                                                                • -
                                                                +

                                                                Purpose:

                                                                +


                                                                The Senior Manager, Retail Deposit Analytics is responsible for leading a team of analytics professionals in conducting analyses and making fact-based recommendations across the Retail Deposits and Day to Day Banking portfolios. The incumbent will deliver strategic and tactical knowledge to facilitate the execution of strategies that will enable profitable growth of Deposit customer base, increase customer engagement and optimize revenue margins for the business. He/She will work with multiple stakeholders and partners within and outside Scotiabank to develop optimal strategies based on excellent analytical, database marketing, people management, communication and relationship management skills.

                                                                -


                                                                Requirements & Qualifications:

                                                                +

                                                                Accountabilities:

                                                                -
                                                                • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
                                                                • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
                                                                • Strong data engineering / data pipeline skills – the ability to understand how to efficiently build model pipelines to support production ready models
                                                                • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
                                                                • Strong programming skills in Python and SQL.
                                                                • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
                                                                • Experience using common machine learning algorithms in Python, GCP.
                                                                • Experience using and implementing visualization tools like PowerBI and/or Tableau.
                                                                • Knowledge of the Business Banking products and services an asset.
                                                                • -
                                                                +

                                                                Accountability 1 - Analysis & development support for acquisition and campaign strategies

                                                                +


                                                                • Collaborate with Retail Deposit and Day to Day banking team to profitably grow customer base. Proactively provide strategic analysis that will assist the business to optimize new & existing accounts and product mix from various channels. Grow day to day banking customer base within multiple segments of Scotiabank customers and enhance opportunity to acquire non-Scotiabank customers.
                                                                • Work closely with marketing team to develop analytical and segmentation strategies that enhance Deposit customer engagement initiatives while optimizing budgets as well as margins. Collaborate with Retail Marketing and Customer Decisioning teams to implement and fulfill campaigns while ensuring seamless customer experience.
                                                                • Lead the data science initiatives to optimize pricing and targeting strategies to drive acquisition & retention of chequing balances. This role works closely with Retail Deposit team, finance, treasury, channel partners to recommend pricing and targeting strategies to grow deposit portfolio.
                                                                • Evaluate new campaign ideas based on business opportunities and revenue growth; provide initial sizing and develop business case. Provide go/no go recommendation by examining overall P&L impact to the bank.
                                                                • Collaborate with Campaign Design, Products and Retail Marketing teams to support optimal acquisition and customer migration initiatives driven through centralized campaign execution engine.
                                                                • Work closely with segmentation/modeling experts within or outside Scotiabank to create new and effective ways of targeting customers in order to maximize efficiency of acquisition campaign strategies.
                                                                • Continuously acquire and enhance knowledge of business/product strategies, competitive practices, market insights and other policies, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
                                                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants.

                                                                -

                                                                Educational Requirements:

                                                                +

                                                                Accountability 2 - Measurement & Reporting

                                                                +


                                                                • Lead the creation of ongoing measurement of acquisition/engagement campaign strategies relative to the pro-forma/plan. Provide actionable insights and recommendations to business stakeholders on an ongoing basis in order to maximize business results and enable the creation of an ongoing learning loop.
                                                                • Develop pro-forma for acquisition/engagement campaign initiatives working closely with multiple stakeholders at Scotiabank.
                                                                • Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams;
                                                                • Providing analytical support and profit insights on a regular and ad-hoc bases within Retail Canadian Banking with an eye towards driving business growth and profits
                                                                • Provide business support to all areas of Retail Deposits and Day to Day Banking including Business development, Product, Acquisition and Analytics. Work with Finance for business case development and to report results to Senior Management as well as provide outlook/projection

                                                                -
                                                                • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
                                                                • -
                                                                +


                                                                Accountability 3

                                                                +


                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                +


                                                                Qualifications

                                                                +


                                                                • In-depth analytics experience and solid business acumen are required. Extensive marketing & campaign analytics and decision support experience is strongly preferred along with a comprehensive understanding of portfolio optimization and financial P&L levers.
                                                                • Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies.
                                                                • A proven ability to rapidly, effectively and accurately extract and interpret data and transform it into meaningful and actionable business insights.
                                                                • Exceptional oral and written communication skills, with a demonstrated ability to present and translate highly technical concepts to a wide audience.
                                                                • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests.
                                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                • Proven track record of success in maintaining, leading and motivating a productive team of analytics professionals.
                                                                • Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors that will contribute to successful growth initiatives.
                                                                Educational Requirements
                                                                • Minimum Bachelor's Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
                                                                • MBA (Finance or Marketing)/CFA/FRM or Master in Analytics - preferred

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,10,27,https://talenthub.vectorinstitute.ai/jobs/217073599-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,expired,2023-04-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e291c21a-babd-4d28-b5ae-b2c3502d8742,208693672,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-03-25T17:27:03.186Z,"
                                                                -

                                                                What’s the opportunity?

                                                                -

                                                                Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                                                -

                                                                Your responsibilities include:

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T15:26:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/178100528-senior-manager-retail-deposit-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Retail-Deposit-Analytics-ON-M5C2T6/565899017/,expired,2022-12-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +5f761f79-e324-409f-bdae-6968d9896e17,176654372,CIBC,"Senior Data Scientist, Advanced Analytics & AI",on_site,"Ontario, Canada",2022-12-12T17:06:04.602Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                The Advanced Analytics & AI team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.

                                                                +

                                                                You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                How You’ll Succeed

                                                                  -
                                                                • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                                                • -
                                                                • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                                                • -
                                                                • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                                                • -
                                                                • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                                                • -
                                                                • To manage other research team leads and provide guidance and support.
                                                                • -
                                                                • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                                                • +
                                                                • Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.

                                                                • +
                                                                • Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.

                                                                • +
                                                                • Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.

                                                                -

                                                                You’re our ideal candidate if you have:

                                                                +

                                                                +

                                                                Who You Are

                                                                  -
                                                                • A Ph.D. degree in Computer Science or a related technical field;
                                                                • -
                                                                • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                                                • -
                                                                • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                                                • -
                                                                • Experience delivering successful high-impact machine learning products
                                                                • -
                                                                • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                                                • -
                                                                • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                                                • -
                                                                • The ability to formulate and drive multiple research projects independently;
                                                                • -
                                                                • Exceptional communication and leadership skills;
                                                                • -
                                                                • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                                                • -
                                                                -

                                                                What\'s in it for you?

                                                                +
                                                              • You have an advanced degree in a scientific or quantitative field

                                                              • +
                                                              • You have minimum of 3 year experience in industry or research

                                                              • +
                                                              • You enjoy the challenge of leading engagements and coaching junior team members

                                                              • +
                                                              • You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.

                                                              • +
                                                              • You have strong communication skills and an ability to present complex concepts clearly.

                                                              • +
                                                              • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.

                                                              • +
                                                              • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                              • +
                                                              • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                              • +
                                                              • +

                                                                You have extensive knowledge of:

                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                                • +
                                                                • Programming in Python

                                                                • +
                                                                • Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)

                                                                • +
                                                                • Writing queries in SQL and working with data warehouses

                                                                • +
                                                                • ML/AI Frameworks (Tensorflow, Pytorch)

                                                                • +
                                                                • Knowledge of NLP and associated toolkits (nltk, spaCy)

                                                                • +
                                                                • Software development and testing

                                                                • +
                                                                • Also beneficial:

                                                                • +
                                                                • Knowledge of data visualization tools such as Tableau

                                                                • +
                                                                • Understanding of Docker and Kubernetes

                                                                • +
                                                                • Exposure to big data frameworks (PySpark, SparkML)

                                                                • +
                                                                • Exposure Microsoft Azure cloud platform

                                                                -

                                                                About Borealis AI

                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                -

                                                                -
                                                              • ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:14:24.537Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208693672-research-director-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, -3f80d43d-0892-4dd3-8d3a-468107409931,209219015,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-03-27T17:22:03.110Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 176220

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                                                While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                                                                Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                                                                -

                                                                -

                                                                Job Purpose:

                                                                -

                                                                -

                                                                Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                                                -

                                                                -

                                                                Job Responsibilities:

                                                                -

                                                                -
                                                                1. Participate in the strategic management of debt collections by:
                                                                2. -
                                                                -
                                                                • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                                                • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                                                • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                                                • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                                                • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                                                • Ensuring future enhancements continue to be identified and implemented
                                                                • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                                                                • -
                                                                -

                                                                -

                                                                2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                                                                -
                                                                • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                                                • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                                                • Streamlining and/or integrating automation and technology
                                                                • Continually challenging the ‘status quo’ through innovation
                                                                • Support construction of a Centre of Excellence in Collections
                                                                • -
                                                                -

                                                                -

                                                                Job Requirements:

                                                                -

                                                                -
                                                                • Two to three years’ experience in data analytics
                                                                • Experience with statistical software packages such as SAS or SQL
                                                                • Strong leadership, collaboration, and communication skills
                                                                • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                                                                • -
                                                                -

                                                                -

                                                                Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:01:21.389Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/209219015-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ab51f9c1-0516-441d-891d-337c7ce43f41,212883400,TELUS,Senior Machine Learning Engineering Consultant,on_site,"Ontario, Canada",2023-04-06T17:42:02.218Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -

                                                                -

                                                                Our team and what we’ll accomplish together

                                                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                                                -

                                                                + + +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                                                  -
                                                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects
                                                                • -
                                                                • We have flexible work styles with the ability to work in and out of the office
                                                                • -
                                                                • You will work in a team that actively supports your personal development with progressive training and development tools
                                                                • +
                                                                • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                                                                • +
                                                                • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                                                                • +
                                                                • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                                                                • +
                                                                • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                                                                -


                                                                What you’ll do

                                                                -

                                                                +

                                                                +

                                                                What you need to know

                                                                  -
                                                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies
                                                                • -
                                                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                                                • -
                                                                • Select appropriate datasets and data representation methods
                                                                • -
                                                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                                                • -
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • -
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • -
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                                • -
                                                                • Responsible for end-to-end engagement from problem definition to insight delivery as well as value realization & measurement
                                                                • +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                -

                                                                -

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                81 Bay Street, 1st Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Advanced Analytics, Business Insights, Data Analysis, Data Science
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Advanced-Analytics---AI_2242794-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-19T15:23:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/176654372-senior-data-scientist-advanced-analytics-ai-at-cibc,,expired,2022-12-12T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Post-Graduate Diploma,New Posting, +450e6a30-eec7-4470-9b6b-b411cbf7cb67,172489051,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-01T17:24:03.148Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                                                                As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                                                                +

                                                                This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:
                                                                • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                                                                • Evaluate ML model development procedures and processes for model compliance risks (e.g., unfairness)
                                                                • Support the development of technical standards and guidelines covering model risk matters, and draft key Compliance documents in appropriate coordination with stakeholders
                                                                • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                                                                • Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                                                                o Supporting compliance risk management associated with models used by TD;
                                                                o Supporting the business in identifying models whose outcomes impact customers or communities;
                                                                o Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                                                                o Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                                                                • Partner with Legal, Privacy, Model Validation and other Compliance Units (e.g., TDI Compliance, and TDS Compliance)
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model or tool

                                                                +

                                                                The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                                                                +

                                                                TEAM DESCRIPTION

                                                                +

                                                                The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:
                                                                • Assessing models for regulatory compliance and conduct risk;
                                                                • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                                                                • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.

                                                                +

                                                                COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                -

                                                                What you bring

                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                                                                • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                                                                • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership on same
                                                                • The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives
                                                                • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                                                                • Excellent verbal and written communication skills
                                                                • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                                                                • Work effectively as a team to peer review other team member model reviews and share knowledge
                                                                • Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model and tool compliance risks
                                                                • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                                                                • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                                                                • Quick learner who constantly works on improving skills and expertise.
                                                                • Good time management and multitasking skills with minimal supervision.

                                                                +

                                                                EXPERIENCE & EDUCATION:
                                                                • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                                                                • Relevant experience with the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                                                                • Demonstrated engagement with the issues of explainability and/or fairness in the context of advanced analytics and machine learning

                                                                +
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-19T15:22:00.000Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/172489051-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16907372/data-scientist-ii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +1f35a6a4-55b6-4bd6-9c1b-eb1358e93bc5,175020135,Scotiabank,"Manager, Financial Reporting (Data Analytics)",on_site,Canada : Ontario : Toronto,2022-12-08T17:22:03.286Z,"

                                                                -
                                                                  -
                                                                • You have 5 + years experience in a data related position
                                                                • -
                                                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                                                • -
                                                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                                                • -
                                                                • You are well versed in software and AI development lifecycles
                                                                • -
                                                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                                                • -
                                                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                                                • -
                                                                • You have the ability to communicate effectively to gather advanced Data Science requirements from Director-level stakeholders and communicate finding/insights in clear concise manner; ability to create/deliver impactful presentations
                                                                • -
                                                                -


                                                                Great-to-haves

                                                                -
                                                                  -
                                                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • -
                                                                • Google Professional ML Engineering Certification
                                                                • -
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                                                • -
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote -
                                                                • -

                                                                +

                                                                Requisition ID: 166893

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-05-06T19:26:17.997Z,False,0,5,35,https://talenthub.vectorinstitute.ai/jobs/212883400-senior-machine-learning-engineering-consultant-at-telus,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -fb948c7c-2ab2-4a84-9048-e5e513efddf4,218282685,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-04-24T17:22:02.211Z,"

                                                                +

                                                                Purpose of Job:

                                                                +

                                                                The Manager, Financial Reporting, will assist in the analysis, monitoring and reporting of Retail Credit Risk, Small Business & Wealth Management portfolios including monthly, quarterly and annual reporting for Scotiabank's senior management, investors and regulators.

                                                                +

                                                                Job Responsibilities:

                                                                -

                                                                Requisition ID: 172337

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +
                                                                • Assist in the preparation of Global Retail Credit Risk monthly, quarterly and annual portfolio reporting for Bank Executives and external stakeholders:
                                                                • Development, analysis and maintenance of key senior management reports including data management, presentation, documentation, quality assurance and operational production effectiveness
                                                                • Provide prompt and sound analysis of performance of the Retail, Small Business and Wealth Management portfolios to support management decisions
                                                                • Participate in the identification, assessment and monitoring of credit risk trends and communicate adherence to authorized risk tolerance parameters
                                                                • Extract, review, and analyze data from Enterprise General Ledger, Enterprise Date Lake & other various sources to address Global Retail Credit Risk ad-hoc reporting needs and projects
                                                                • Prepare quarterly regulatory reporting and financial note disclosure:
                                                                • Interact with the Canadian & International Retail Risk groups, Finance, Audit and other Bank departments to ensure information provided is accurate and reliable
                                                                • Prepare reconciliations and analysis of Retail Risk and financial information to ensure that the data discrepancies are properly known and identified.
                                                                • Assist in developing enhancements for reporting and data aggregation by:
                                                                • Following and keeping up-to-date with regulatory requirements, End User Computing guidelines, RDARR principles and other data-related requirements
                                                                • Improving the reporting methodology, modifying requirements per regulator guidance, identifying streamlining opportunities and redesigning as appropriate
                                                                • Provide key support and technical expertise in data management and validations, report automation and trend analysis; Work with technology teams to identify issues and implement solutions.
                                                                • +

                                                                -

                                                                Purpose

                                                                -

                                                                -

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -

                                                                -

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                +

                                                                Job Requirements:

                                                                -

                                                                Accountabilities

                                                                -

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                  • University degree in business (finance or accounting) or a quantitative field (mathematics or statistics).
                                                                  • A minimum of 5 years progressive experience and functional competencies in development, analytics and delivery of senior management reporting including monthly, quarterly reporting; experience in Retail Banking, Retail Credit Risk and financial / quantitative methodologies.
                                                                  • To be successful in the position, the incumbent must have the following competencies:
                                                                    • Must have knowledge and experience in SAS, SQL and VBA.
                                                                    • Knowledge of current industry trends, regulatory requirements and industry best practices
                                                                    • Familiar with the Bank's General Ledger and / or has experience with preparing financial note disclosures
                                                                    • High level of proficiency in using MS Office suite of applications (MS Word, MS Excel, MS Access, MS PowerPoint)
                                                                    • Ability to analyze raw data; strong ability to understand and write business requirements.
                                                                    • Sound project and time management skills; strong organizational and prioritization skills; strong communication skills, both verbal and written; a highly proactive attitude, and use of initiative and independent judgment
                                                                    • Experience with Power BI or Tableau and open source programming like SQL, R or Python are considered an asset.
                                                                  -

                                                                  -

                                                                  Education / Experience

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/175020135-manager-financial-reporting-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,expired,2022-12-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0927fcff-d82a-4981-9b00-1f10480a67a4,177790850,Scotiabank,Velocity - Business Analyst Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:03.289Z,"

                                                                -
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • -

                                                                -

                                                                Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218282685-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ad389f6c-ebf3-4b1f-a640-c3ba13b2b8d9,217073195,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.462Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Senior Analytics Manager

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                -

                                                                -

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Apply your skills in data validation, exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                                                • -
                                                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                                                • -
                                                                • Drive the automation and implementation of powerful data-backed reports to stakeholders throughout the organization.
                                                                • -
                                                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                                                • -
                                                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                                                • -
                                                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                                                • -
                                                                • Respond to data analysis inquiries from the internal audit team.
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must have

                                                                -
                                                                  -
                                                                • Degree in a quantitative field
                                                                • -
                                                                • Experience with either Python or R as well as SQL and other NoSQL DBs
                                                                • -
                                                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                                                • -
                                                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                                                • -
                                                                -

                                                                -

                                                                Nice to have

                                                                -
                                                                  -
                                                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                                                • -
                                                                • Experience working with Dataiku
                                                                • -
                                                                • Understanding of software engineering design principles
                                                                • -
                                                                • Experience building natural language processing (NLP) and unsupervised learning models
                                                                • -
                                                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -

                                                                -
                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Flexible work/life balance options
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-04-19

                                                                Application Deadline:

                                                                2023-05-04
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000057312/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T17:21:01.982Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/217073195-senior-analytics-manager-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -123112bc-00fb-4979-978b-0d87bdbbe341,217075525,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2023-04-20T17:41:02.048Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking an experienced Senior Data Analyst to join our CXO Analytics team. This team is dedicated to supporting client growth and performance through extracting meaningful insights from enterprise data.

                                                                -

                                                                Reporting to the AVP, CXO Analytics, the Senior Data Analyst will play an integral role in migrating our existing Lead Program reporting from SAS to AWS through migrating the technology to our newest data stack and updating existing reporting to provide more insight, a robust data foundation, and easier to understand visuals. This is an exciting opportunity to build new reports using new data sources and new technology. Please note this is a 6-month contract opportunity.

                                                                +

                                                                Requisition ID: 169371

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Design and engineer data products in Tableau

                                                                • -
                                                                • Ensure that a high level of data quality and data integrity are maintained across all data sources

                                                                • -
                                                                • Convert complex business and technical rules into logic for data flows, data pipelines and dashboards

                                                                • -
                                                                • Develop visualization solutions that present data accurately and drive insights to guide business decisions and outcomes

                                                                • -
                                                                • Collaborate with business stakeholders to understand reporting needs

                                                                • -
                                                                • Work with our Data Enablement teams to implement data products for reporting needs

                                                                • -
                                                                • Perform ad-hoc analysis to help explore new data questions

                                                                • +

                                                                  Term: May-August 2023
                                                                  Application Deadline: 12/31/2022

                                                                  +

                                                                  +

                                                                  There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  +

                                                                  The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +
                                                                  • Work with a team of highly-motivated, technical generalists and bankers to deliver clean and effective solutions
                                                                  • Identify and analyze business and technical requirements to create diagrams, flow charts, and documentation
                                                                  • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                  • Make impact by constantly improving, identifying and implementing process
                                                                  -

                                                                  -

                                                                  What do you need to succeed?

                                                                  -
                                                                    -
                                                                  • 3-5 years of hands-on experience working with AWS technologies for data processing and analytics; demonstrated experience with relational database systems, relational models, and dimensional models

                                                                  • -
                                                                  • 3-5 years of experience with engineering data products as input to various analytical models

                                                                  • -
                                                                  • 3 years of experience in SQL with a proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                                  • -
                                                                  • 2 years of experience with AWS Glue for ETL

                                                                  • -
                                                                  • Experience in building dashboards in Tableau or an equivalent tool, with the ability to produce well-designed interactive dashboards and automated reports

                                                                  • -
                                                                  • Proven experience working with complex data sources and various data types to develop robust data foundations and production-grade data products

                                                                  • -
                                                                  • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                                  • +
                                                                    • Experiment & learn!
                                                                    -

                                                                    -

                                                                    What would be nice to have?

                                                                    -
                                                                      -
                                                                    • Experience with Salesforce

                                                                    • -
                                                                    • Experience with SAS programming

                                                                    • -
                                                                    • Experience working in a large financial services organization

                                                                    • -
                                                                    • Knowledge of fundamental statistical models & techniques

                                                                    • +

                                                                      +

                                                                      +

                                                                      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                      +
                                                                      • You are currently enrolled in post-secondary education.
                                                                      -

                                                                      -

                                                                      What are the unique requirements?

                                                                      -
                                                                        -
                                                                      • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5-year history checks)

                                                                      • -
                                                                      • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                      • +
                                                                        • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                        • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                        • You have knowledge/experience in:
                                                                        -

                                                                        -

                                                                        What’s in it for you?

                                                                        -
                                                                          -
                                                                        • Great Place to Work® Certified in Canada and the US - 2022

                                                                        • -
                                                                        • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                        • -
                                                                        • Named “Best Places to Work” by Glassdoor - 2021

                                                                        • -
                                                                        • Canada Award for Excellence for Mental Health at Work - 2021

                                                                        • -
                                                                        • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                                        • -
                                                                        • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                        • -
                                                                        • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                        • +
                                                                          • Drawing conclusions and provide actionable insights to encourage data –driven decision making
                                                                          • Managing a project, and ensuring deliverables are made
                                                                          +
                                                                          • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                                                                          • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                                                                          • +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • +
                                                                          +
                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          How do I apply?

                                                                          +

                                                                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                          +

                                                                          +
                                                                          1. Complete your PLUM Profile here and save as a screenshot.
                                                                          2. Complete a short one-way video interview here.
                                                                          3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                          4. +
                                                                          +

                                                                          +

                                                                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-19T17:27:05.130Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/177790850-velocity-business-analyst-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Summer-2023-ON/565956717/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Post-Graduate Diploma,New Posting, +0dfa24d6-0eb1-4820-a3dc-82d5b2267224,37638629,Darwin AI,Full-Stack Developer ☑️,on_site,"Toronto, ON, Canada",2020-08-05T13:29:33.650Z,"

                                                                WHO WE ARE LOOKING FOR

                                                                +

                                                                Our technical team, which contains an impressive blend of academic and enterprise talent, is in need of talented developers to help design and release our platform. You will be a key resource in helping us implement the User Interface and Visualization elements of our optiimization and explainability platforms, and have expertise with some or all of the following technologies: JavaScript, CSS/HTML, Angular, JSON, ReactJS, Redux and Node.js. Skillsets aside, you are an exceptional and conscientious Full-Stack developer with a talent for creating compelling and seamless User Interfaces that befit our cutting-edge technology. Note that experience with Artificial Intelligence and Deep Learning is not required. In fact, this is your chance to familiarize yourself with these technologies by working at the cutting edge with research team that’s won numerous awards in the field (including best workshop paper at the prestigious NIPS conference in 2016 and 2017). It’s an opportunity to work not only with AI, but with ‘AI that builds AI’ – a radical, inventive concept that will usher in the next wave of deep learning tools.

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                REQUIREMENTS

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                Our ideal candidate possesses:

                                                                Must-have

                                                                +
                                                                  +
                                                                • Min 3 years of web development experience.
                                                                • +
                                                                • Min 2 years of exp with Angular, NodeJS and Typescript.
                                                                • +
                                                                • Must have worked with reactive development.
                                                                • +
                                                                +


                                                                Preferable:

                                                                +
                                                                  +
                                                                • SQL
                                                                • +
                                                                • Data Visualization frameworks like D3, C3 etc
                                                                • +
                                                                • Basic knowledge of AWS
                                                                • +
                                                                • Agile development methodology TEST.
                                                                • +
                                                                ",info@darwinai.ca,,aimasters@vectorinstitute.ai,https://darwinai.ca/careers.html,,,2020-09-04T13:29:00.000Z,False,0,0,49,https://talenthub.vectorinstitute.ai/jobs/37638629-full-stack-developer-at-darwin-ai,,expired,2020-08-05T13:29:00.000Z,admin,Scaling (20-499),Vector Quick Apply,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, +09687f2d-8297-4510-bc0b-ab214747262e,178993304,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2022-12-19T17:24:02.800Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                Department Overview

                                                                +

                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                                                +

                                                                Must-Have

                                                                +
                                                                  +
                                                                • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                                                • +
                                                                • Experience with building and scaling data-intensive software in Python
                                                                • +
                                                                • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                                                • +
                                                                • Experience building and manage a machine learning data pipeline
                                                                • +
                                                                • You value good software design and sweat over details in code and API design
                                                                • +
                                                                • You enjoy learning new technology and educating others
                                                                • +
                                                                • You strive to communicate clearly and with empathy
                                                                • +
                                                                • You take great personal pride in building robust and scalable software
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback
                                                                • +
                                                                +

                                                                Nice to have:

                                                                +
                                                                  +
                                                                • Experience building a library or a framework
                                                                • +
                                                                • Knowledge of machine learning algorithms
                                                                • +
                                                                • Experience with Azure cloud stack
                                                                • +
                                                                • Data analytics
                                                                • +
                                                                • Knowledge with C++
                                                                • +
                                                                • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                                                • +
                                                                +

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                02/05/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00078475?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-04T17:46:03.422Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/217075525-senior-data-analyst-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -d3e5e993-b597-4c7f-bfcf-0cf620ba495b,217073196,RBC,Reporting & Analytics Analyst,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.567Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Reporting & Analytics Analyst

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • University or post-graduate degree
                                                                • +
                                                                • Strong academic background (e.g., computer science, engineering)
                                                                • +
                                                                • 2+ years relevant experience
                                                                • +
                                                                +

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist

                                                                -

                                                                You will support the delivery of analytical insights, develop and curate data assets, build dashboards and model data that will enable data driven decisions.

                                                                -

                                                                UKJERSEYWM

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Develop, enhance and maintain the evolving Data Analytics data infrastructure in line with the business needs to support the overarching data strategy across the organisation

                                                                • -
                                                                • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle

                                                                • -
                                                                • Work with the business to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository

                                                                • -
                                                                • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, creating models to support investigation and analysis

                                                                • -
                                                                • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements Research, explore and understand business problems and reporting requirements to facilitate the design, development and deployment of solutions and dashboards, enabling end user self-service, incorporating drill-down functionality

                                                                • -
                                                                • Provide data driven and thought provoking insights to drive informed decision-making, transferring knowledge to stakeholders and enabling the business to use its data more effectively

                                                                • -
                                                                • Through the delivery of informative reporting solutions; support, inspire and educate end-users to use data more effectively to improve overarching data literacy across the organisation

                                                                • -
                                                                • Analyse, document and recommend improvements to existing business practices to capitalise on opportunities for automation, efficiencies and risk reduction to enhance capabilities and streamline end-to-end data related processes

                                                                • -
                                                                • Work in conjunction with Finance and Technology functions to understand the reconciliations process and flow of data across applications

                                                                • -
                                                                • Actively engage within the team and wider business areas to foster relationships and develop thought leadership Responsible for the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations

                                                                • -
                                                                • Adhere to and promote the the DevOps process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed

                                                                • -
                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                -
                                                                  -
                                                                • Proven experience with MS SQL Server

                                                                • -
                                                                • Sound understanding of relational database principals, guidelines and design

                                                                • -
                                                                • Extensive SQL query development experience

                                                                • -
                                                                • Familiarity and experience with data visualisation tools

                                                                • -
                                                                • Data management specialist with ability to mine data and predictive modelling

                                                                • -
                                                                • Advanced knowledge of, and experience in manipulating large disparate data sets from multiple sources in multiple formats

                                                                • +
                                                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:08.499Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/178993304-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ba8c396d-da50-41b4-b18c-e034e23a300c,169479517,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-11-21T17:42:06.898Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +

                                                                +

                                                                Our team and what we\'ll accomplish together

                                                                +

                                                                +

                                                                The Marketing, Strategy and Data Insights team supports TELUS Future Friendly Home (FFH) by unlocking the power of data and producing deep analytics to deliver actionable insights and generate value for our business and our customers. We are looking for someone passionate about data and new technologies to join our data science group and be a key player in our Machine Learning and AI journey. Always wanted to work with a team of innovators and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                +

                                                                +

                                                                You’ll collaborate with teams across the company, seeking out innovative data sources such as speech analytics to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. You will work closely with our marketing primes on the end to end journey, from ideation session for identification of use cases, to insights activation and monitoring of outcome.

                                                                +

                                                                +

                                                                As a Data Scientist on the team, you will leverage your expert knowledge of data science to automate and facilitate machine learning model development, training and deployment. The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy, and take ownership of each step of the process. From hypothesis generation, initial exploration of datasets, development of novel AI techniques, to automation of pipelines and ML models; be a leader in our cloud migration journey.

                                                                +

                                                                +

                                                                What you\'ll do

                                                                +

                                                                +
                                                                  +
                                                                • Lead the iterative development, validation, and deployment of AI/ML models
                                                                • +
                                                                • Collaborate on end-to-end automation efforts required to bring models to production
                                                                • +
                                                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                • +
                                                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                • +
                                                                • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                • +
                                                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                • +
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                -

                                                                -

                                                                Nice-to-have

                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                +

                                                                  -
                                                                • Knowledge of Tableau

                                                                • -
                                                                • Experience with JIRA

                                                                • -
                                                                • Experience with GitHub

                                                                • -
                                                                • Knowledge of Agile project management principles

                                                                • +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • +
                                                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, predictive models and bring 3 or more years of hands-on work and practical business experience in the above areas
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, and have applied these skills towards solving actual business matters
                                                                • +
                                                                • You possess advanced knowledge in SQL and Apache Spark
                                                                • +
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                -

                                                                -

                                                                What is in it for you?

                                                                -

                                                                -

                                                                We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                  -
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • -
                                                                • Opportunities to work with the best in the field

                                                                • -
                                                                • Ability to make a difference and lasting impact

                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • -
                                                                • Flexible working options fully supported

                                                                • -
                                                                • Hybrid Working

                                                                • +
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • +
                                                                • GCP or other cloud certifications #LI-REMOTE +
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                100 BISHOPSGATE:LONDON

                                                                City:

                                                                GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                                                                Country:

                                                                United Kingdom

                                                                Work hours/week:

                                                                35

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Wealth Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-02-16

                                                                Application Deadline:

                                                                2023-05-10
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000049131/Reporting-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T21:34:00.000Z,False,0,16,35,https://talenthub.vectorinstitute.ai/jobs/217073196-reporting-analytics-analyst-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -76d58785-c376-45b9-87db-f2e720d44c73,219391614,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Ottawa, ON",2023-04-27T17:24:02.326Z,"
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Montreal-Data-Scientist-Queb/565302217/,feed-importer@jobboard.io,,,,2022-12-24T13:48:41.181Z,False,0,7,66,https://talenthub.vectorinstitute.ai/jobs/169479517-data-scientist-at-telus,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,PhD,New Posting, +9c79cb31-b526-4503-a38c-a20c8dbf70c9,170605616,TD Bank Group,Machine Learning Engineer Framework (Layer 6),on_site,"Toronto, ON",2022-11-24T17:24:03.072Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -53934,833 +53802,505 @@ d3e5e993-b597-4c7f-bfcf-0cf620ba495b,217073196,RBC,Reporting & Analytics Analyst

                                                                Department Overview

                                                                -

                                                                The Workforce Management (WFM) team is part of the North American Phone Channel Shared Services, providing ongoing support and leadership in the following specialty areas: Sales strategy, Customer and Employee Experience, Governance / Operating Solutions, Enterprise Workforce Management and Business Solutions. It is our high performing teams who create a passion for the customer experience and make North American Phone Channel Shared Services (NAPCSS) a great place to work. NAPCSS supports over a dozen lines of businesses, including all of the businesses in Canadian Personal Banking, Wealth, Direct Investing, TD Insurance, and US Contact Centre; driving superior solutions to enable a better Phone experience, and championing continuous improvement within the Phone network. We are supporters of a caring performance culture and leaders in great community spirit. NAPCSS offers a unique career opportunity to make an impact and build for the future. We seek individuals with a positive attitude who are driven to produce extraordinary results and would like to work in an environment that is fun, high energy, fast-paced, and collaborative.

                                                                +
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                +

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +

                                                                Job Description

                                                                -
                                                                -

                                                                Reporting to the Manager, Delivery and Execution, the successful candidate will be responsible for the short-term operational support of forecasting for Service Level, FTE supply, expenses and efficiency for all Contact Center groups that fall within the North American Contact Center (NACC). In partnership with the Centers and Business Unit stakeholders, this role advises on high impact solutions / recommendations and strategies to close identified gaps in business performance while building strong capabilities that can be leveraged across the enterprise. This is a highly visible role and the candidate will have exceptional communication and relationship management skills, enabling seamless interactions with a broad range of stakeholders across the bank at varying levels of seniority.

                                                                -

                                                                PRIMARY RESPONSIBILITIES:

                                                                -
                                                                  -
                                                                • Deliver operational support to forecasting CoE Workforce Management activities, support long term demand/ capacity planning to accurately forecast business outlook across NACC
                                                                • -
                                                                • Partner with business stake holders and operations to provide support in sizing impacts of initiatives and provide recommendations for efficient solutions to deliver best in class customer experience.
                                                                • -
                                                                • Develop proposals and recommendations for that identify and profile high impact, forward looking strategies, along with action plans to maximize productivity and efficiencies
                                                                • -
                                                                • Execute on ad-hoc reporting for pre/post live day to provide detailed insights on business performance that is summarized in an easily understood output for all levels of leadership and understanding of workforce metrics
                                                                • -
                                                                +
                                                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have a real world impact. The goal of the framework is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration.

                                                                +

                                                                As part of the Machine Learning Frameworks team, you will design and build the cloud-based core engine powering enterprise use cases at the bank, enabling scientists to build high-quality machine learning models. You will work with ML product engineers, Ops teams, and scientists to ensure our frameworks can support use cases deployed on our computing infrastructure.

                                                                  -
                                                                • Lead/support weekly interactions with the senior leadership teams for the businesses we support in NACC
                                                                • -
                                                                • Demonstrate resiliency under pressure
                                                                • +
                                                                • Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.
                                                                • +
                                                                • Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
                                                                -

                                                                KEY RELATIONSHIPS:

                                                                +

                                                                Customer Accountabilities:

                                                                  -
                                                                • Reports to Manager, Forecasting
                                                                • -
                                                                • All WFM COEs (Scheduling, Demand/Capacity forecasting, Intake Analysts, and Business Partners)
                                                                • -
                                                                • Daily working relationships with all level of TDBG
                                                                • -
                                                                -
                                                                +
                                                              • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                                                              • +
                                                              • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                                                              • +
                                                              • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                                                              • +
                                                              • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                                                              • +
                                                              • Act as the expert or lead innovator and agent of change for the programs and services under management
                                                              • +
                                                              • Work with other teams to implement best practices for engineering and management
                                                              • +
                                                              • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                                                              • +
                                                              • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                                                              • +
                                                              • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                                                              • +

                                                                Requirements

                                                                -
                                                                  -
                                                                • Minimum 3-5 years’ experience in a Contact Center environment
                                                                • -
                                                                • Hands-on experience and knowledge of Workforce Management systems & process is recommended
                                                                • -
                                                                • Strong communication skills with an ability to present concepts and research to senior audiences with clarity and confidence
                                                                • -
                                                                • Strong organizational skills with a proven ability to multitask
                                                                • -
                                                                • Exceptional analytical skills with specific attention to detail
                                                                • -
                                                                • Driven to continual improvement of processes and working environment
                                                                • -
                                                                • Proficient with MS Office Suite
                                                                • -
                                                                • Ability to quickly learn new technology/software/systems
                                                                • -
                                                                • Enjoys working in an agile, fast pace and collaborative environment
                                                                • -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -EDUCATION & WORK EXPERIENCE:

                                                                +
                                                                +Must-Have:

                                                                  -
                                                                • A post-secondary degree in business, economics, data sciences, or other related fields of study
                                                                • -
                                                                • 3-5 years of experience in workforce management, planning and/or data management analytics
                                                                • -
                                                                • Experience with database management and/or visualization software such as Tableau, Power BI, MS SQL, PHP, Python, R etc. is an asset and recommended
                                                                • +
                                                                • Experience with building and scaling data-intensive software.
                                                                • +
                                                                • You value good software design and sweat over details in code and API design.
                                                                • +
                                                                • You enjoy learning new technology and also educating others.
                                                                • +
                                                                • You take great personal pride in building robust and scalable software.
                                                                • +
                                                                • You strive to communicate clearly and with empathy.
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                +

                                                                Nice to have

                                                                +

                                                                Experience building a library or a framework.
                                                                Experience using spark or other distributed data frameworks.
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.

                                                                Knowledge of distributed systems.

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                +

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-08T20:33:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219391614-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ca2a06e3-f444-49cb-9fad-4f03fc770a4a,220633258,Clearpath,Robot Platform Software Developer/Engineer,on_site,"Ontario, Canada",2023-04-30T17:42:03.020Z,"

                                                                Description

                                                                -

                                                                Position: Robot Platform Software Developer/Engineer
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 3+ years
                                                                Education: Bachelor\'s degree in Mechatronics, Systems, Electrical Engineering, or a related field
                                                                Division: OTTO Motors

                                                                -

                                                                About OTTO™ Motors (Division of Clearpath Robotics)

                                                                -

                                                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                                -

                                                                -

                                                                About the Job

                                                                -

                                                                The Platform team is responsible for integrating the Hardware and Software of OTTO Mobile Autonomous Robot platforms. You are a true Mechatronics engineer, with a focus primarily on the software side of things including bare metal firmware, device drivers for external components, and application layer components. You will lead in developing the software components to make our robots function, and easily diagnose issues. You will exemplify a proper Software Development Life Cycle from beginning to end and contribute to every aspect of it. Your code will ultimately run on the robots and control mission-critical functionality such as battery management, sensor drivers or motor command output. Any failure could have catastrophic consequences.

                                                                -

                                                                You will be involved with the initial proof of concept and bring-up of new robot hardware platforms, integrating the hardware with the autonomous software. You will be responsible for the controls system architecture and design of new and existing industrial self-driving vehicles. Design challenges will span from high-level system architecture, integration, programming, and field testing. You have no problem deducing hardware issues from software logs. You will need to be aware of functional safety implications in an industrial environment, and how to implement and verify safety functions.

                                                                -

                                                                -

                                                                Your primary responsibilities will be:

                                                                -
                                                                  -
                                                                • Architect, design and implement custom software, ranging from low-level robot control firmware, PC drivers for external controllers, and enhanced interactive diagnostics using C/C++ and Python
                                                                • -
                                                                • Prototyping and Bring-up of new Mechatronic platforms
                                                                • -
                                                                • Integrating complex electronics and control systems with Autonomous Software
                                                                • -
                                                                • Documentation of system-level architectures, and contributing to knowledge bases for triaging and debugging complex issues
                                                                • -
                                                                • Coordination of feature requirements between Software, Hardware, and Production teams
                                                                • -
                                                                • Providing expert level debugging of our robots to support Client Success, Field Services, and internal Test and Manufacturing teams
                                                                • -
                                                                -

                                                                -

                                                                Required Skills:

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-26T17:29:06.226Z,False,0,11,54,https://talenthub.vectorinstitute.ai/jobs/170605616-machine-learning-engineer-framework-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066662/machine-learning-engineer-framework-layer-6-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +0177694f-f5b2-45b6-9ac4-9f45750c5a3a,195761431,Bell Canada,"ON - 2023 Internship Program - Customer Experience, Marketing, and Applied Technologies",on_site,"Toronto, Ontario",2023-02-12T17:21:03.921Z,"

                                                                Req Id: 390452

                                                                +

                                                                +

                                                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                +

                                                                +

                                                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                                                +

                                                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                                                +

                                                                +

                                                                Revised Application Deadline: 02/26/2023

                                                                +

                                                                +

                                                                Over the course of our three-month internship program, you will:

                                                                +

                                                                  -
                                                                • Bachelor\'s degree in Mechatronics Engineering, Systems Engineering, Electrical Engineering, or a related field with applicable background
                                                                • -
                                                                • 3+ years of experience working with C++ and/or Python
                                                                • -
                                                                • Experience writing robust, efficient, high performance code
                                                                • -
                                                                • Strong electronics and mechatronics prototyping and debugging skills (breadboarding, oscilloscopes, multimeters)
                                                                • -
                                                                • Experience of hands-on troubleshooting of electronic and electromechanical systems
                                                                • -
                                                                • Understanding of sensors and actuators and their error modes, especially motor controllers
                                                                • -
                                                                • Able to perform root-cause analysis of hardware and software issues from data logs
                                                                • -
                                                                • Familiarity with Linux (Debian based distributions)
                                                                • -
                                                                • Excellent teamwork and communication skills
                                                                • -
                                                                • Ability to independently develop software development plans, including timelines and test procedures
                                                                • -
                                                                • Past experience participating in development or deployment projects that have gone terribly wrong
                                                                • +
                                                                • Learn from the customer: Work directly with our customers through our call centres and online e-chat services as you learn about our services and customer support systems.
                                                                • +
                                                                • Apply your learnings: Improve the customer experience by working with your fellow interns on critical business projects. Our executive team carefully selects project topics, which offer interns an opportunity to make tangible impacts.
                                                                • +
                                                                • Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
                                                                -

                                                                -

                                                                Bonus Skills:

                                                                +

                                                                Why join us:

                                                                  -
                                                                • Knowledge of different approaches to the Software Development Lifecycle, especially the V-model
                                                                • -
                                                                • IT experience in networking, OS configuration and troubleshooting, drivers
                                                                • -
                                                                • Experience working with different field buses, especially CAN and Ethernet-based
                                                                • -
                                                                • Experience with industrial electrical design and troubleshooting
                                                                • -
                                                                • Working knowledge of aspects of mobile robotics such as perception, planning, controls, and navigation
                                                                • -
                                                                • Familiarity with industrial material handling vehicles, such as AGVs, AMRs, SDVs, forklifts, tuggers etc.
                                                                • -
                                                                • Experience with ROS (Robot Operating System)
                                                                • -
                                                                • Familiarity with software version control and CI/CD tools, such as Git, Jenkins and Gitlab
                                                                • -
                                                                • P.Eng Accreditation attained or in-progress
                                                                • +
                                                                • Learn how to leverage and use data to drive results as you produce and present business cases to our senior Leadership Team.
                                                                • +
                                                                • Develop your analytical, project management, and communication skills with training and hands-on opportunities to apply your learnings.
                                                                • +
                                                                • Interact with our peer-to-peer support network and receive mentorship from recent Grads enrolled in our full-time Graduate Leadership Program.
                                                                • +
                                                                • You will have the opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program.
                                                                -

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/odNRmfwX,feed-importer@jobboard.io,,,,2023-05-08T20:36:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/220633258-robot-platform-software-developer-engineer-at-clearpath,,expired,2023-04-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -d4697103-44a7-4893-a7e6-6d4974b1c66a,236958270,Vector Institute,AI Project Management Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.426Z,"

                                                                AI Project Management Intern

                                                                -

                                                                POSITION OVERVIEW

                                                                -

                                                                The AI Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute, the objectives of which are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation work stream are met.

                                                                -

                                                                Start date: September 11, 2023

                                                                -

                                                                End date: December 22, 2023

                                                                -


                                                                -

                                                                APPLIED INTERNSHIPS AT VECTOR

                                                                -

                                                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                -


                                                                -

                                                                KEY RESPONSIBILITIES

                                                                +

                                                                You should apply if:

                                                                  -
                                                                • Assist in the design, development, and management of AI Projects for Industry, creating and updating project plans, supporting the identification of interesting use-cases, contributing to sort-out logistic challenges, and work on a range of project deliverables (e.g., business cases, executive roadmaps, etc);
                                                                • -
                                                                • Facilitate discussions on the applications of AI techniques and identification of potential contributors in the broader ecosystem;
                                                                • -
                                                                • Support project support functions such as coordinating meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), preparing minutes, tracking action items and following up with meeting participants;
                                                                • -
                                                                • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, writing reports and other pieces to distribute knowledge;
                                                                • -
                                                                • Perform quantitative and qualitative analysis; and,
                                                                • -
                                                                • Other duties as assigned.
                                                                • -
                                                                -

                                                                PROFILE OF THE IDEAL CANDIDATE

                                                                -
                                                                  -
                                                                • You are a student or postdoctoral fellow studying at a Canadian post-secondary institute (university or college) or a recent graduate (within 1 semester of graduation).

                                                                • -
                                                                • You are motivated to apply machine learning techniques to real-world problems.

                                                                • -
                                                                • You have experience developing, refining, and deploying machine learning models to problems outside of the research/academic sector; experience in project management considered an asset.

                                                                • -
                                                                • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link sensitive data, privacy concerns, challenges associated with unstructured or unlabelled data).

                                                                • -
                                                                • You are a good communicator who is interested in helping non-technical professionals to understand machine learning and other AI techniques.

                                                                • -
                                                                • You are organized and efficient, with strong problem-solving skills.

                                                                • -
                                                                • You are creative, resourceful and with a strong intellectual curiosity, and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                • -
                                                                • You possess a positive attitude, integrity, a sense of humor, and bring a positive energy and outlook to a not-for-profit corporate culture.

                                                                • -
                                                                • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                                                                • -
                                                                • Your familiarity with GSuite and/or MS Office 365 applications would be an asset.

                                                                • +
                                                                • You are graduating in spring 2024.
                                                                • +
                                                                • You are enrolled in a university Bachelor’s degree in engineering, business technology management, computer science, math/statistics, business, or economics.
                                                                • +
                                                                • You are enrolled in a full time STEM-related college program and are required to complete an integrated work experience.
                                                                -


                                                                -

                                                                Compensation: $25/hour.

                                                                -


                                                                -

                                                                If you have any questions, please contact internships@vectorinstitute.ai.

                                                                -


                                                                -

                                                                Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                -

                                                                At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                -

                                                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448361&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/236958270-ai-project-management-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -2ec90c25-5381-4573-8178-e4bd5aa50f7b,228136419,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:02.513Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 178348

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Overview:

                                                                -


                                                                The world is changing faster than ever and so are we!

                                                                -

                                                                -

                                                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                                -

                                                                -

                                                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                                -

                                                                -

                                                                What Are We Looking For?

                                                                -


                                                                We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

                                                                -

                                                                -

                                                                To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

                                                                -


                                                                Make an Impact

                                                                -

                                                                As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                                -

                                                                -

                                                                Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

                                                                -

                                                                -

                                                                Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

                                                                -

                                                                -

                                                                Is This Role Right for You?

                                                                -
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You know when to be doer, when to be a teacher and when to be a leader
                                                                • You are comfortable setting ambitious but realistic goals and are committed to achieving them
                                                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                                • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
                                                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
                                                                • You are committed to quality in everything you do – statistically, process and governance wise
                                                                • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • -
                                                                -

                                                                -

                                                                What Do You Need to Succeed?

                                                                -


                                                                General

                                                                -
                                                                • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
                                                                • A demonstrated history of analytic problem solving and sound judgment
                                                                • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
                                                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
                                                                • Excellent project, process & time management
                                                                • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
                                                                • -
                                                                -

                                                                ​​​​​​​

                                                                -

                                                                Technical

                                                                -
                                                                • Strong fundamental understanding of statistics
                                                                • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
                                                                • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • -
                                                                -

                                                                -

                                                                Nice to Have’s

                                                                -
                                                                • Proficient reading, writing and speaking Spanish
                                                                • MBA or other business / management degree
                                                                • FRM, CFA credentials
                                                                • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
                                                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                • Experience with public cloud infrastructure (GCP, Azure, AWS)
                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
                                                                • -
                                                                -

                                                                -

                                                                What’s In It for You?

                                                                -
                                                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                                • -
                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:53:01.322Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228136419-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -33efc8c5-4627-45f3-b6fc-11cb5b655d57,235578626,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.676Z,"

                                                                Minimum qualifications:

                                                                  -
                                                                • Currently enrolled in a Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  -
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  -
                                                                • +
                                                                • You are aligned with working in-person at a Toronto-based Bell office location 2-3 days per week. We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.
                                                                • +
                                                                • You have excellent interpersonal and communication skills (verbal and written).
                                                                • +
                                                                • You have introductory experience, or the desire to learn, data tools and software such as SQL, SAS, MicroStrategy, and Unica.
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                  -
                                                                • -
                                                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                  +

                                                                  Application Instructions:

                                                                  +
                                                                    +
                                                                  1. Apply directly on Bell’s career page.
                                                                  2. +
                                                                  3. Submit a resume and most recent transcripts (unofficial accepted).
                                                                  4. +
                                                                  5. +When prompted, indicate three role profiles that interest you. Before submitting your application, please visit jobs.bell.ca/ca/en/campus-glp-customer-operations for more information on each of the following role profiles:
                                                                      +
                                                                    1. Customer Experience Strategy, Design and Delivery
                                                                    2. +
                                                                    3. Operations and Business Strategy
                                                                    4. +
                                                                    5. Digital Advocacy (Web and App)
                                                                    6. +
                                                                    7. Application Developer
                                                                    8. +
                                                                    9. Communications and Brand Development
                                                                    10. +
                                                                    11. Marketing Campaigns and Pricing Strategy
                                                                    12. +
                                                                    13. Channel Sales Strategy
                                                                    14. +
                                                                    15. Product Management (Internet, TV, 5G and IoT)
                                                                    16. +
                                                                    17. Business Intelligence Analyst, Operational Insight and Support
                                                                    18. +
                                                                    19. Machine Learning Developer
                                                                    20. +
                                                                  6. -
                                                                  7. Ability to speak and write in English fluently.
                                                                  8. -
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                -

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                                                                -

                                                                Responsibilities

                                                                -
                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,24,101,https://talenthub.vectorinstitute.ai/jobs/235578626-student-researcher-ms-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -9b1984da-08a5-45d2-b82f-1e5c9fee2aa1,232594927,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-06-04T16:04:02.451Z,"
                                                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                                                -
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                                                  • -
                                                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                                                  • -
                                                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                                                  • -
                                                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • 4+ years working as a professional developer
                                                                  • -
                                                                  • 2+ years working as an engineering team manager
                                                                  • -
                                                                  • Experience hiring and building motivated engineering teams
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • -
                                                                  • Extensive experience working with NLP (including NER) and PyTorch
                                                                  • -
                                                                  • Experience with data engineering and machine learning design patterns and best practices
                                                                  • -
                                                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                                                  • -
                                                                  • Strong experience collaborating cross-functionally
                                                                  • -
                                                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-05T19:46:57.497Z,False,0,2,56,https://talenthub.vectorinstitute.ai/jobs/232594927-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, -43e498ae-0cc1-4904-bd32-5eba3594fa11,283724087,RBC,Client Intelligence - Associate,on_site,"Toronto, ON, Canada",2023-10-26T12:21:02.287Z,"
                                                                -

                                                                Job Summary

                                                                + +

                                                                +

                                                                Please note: We hire on a rolling basis. This means that applications are reviewed as they are received and positions may be filled while this job ad is still live. Apply as early as possible to give yourself the best chance!

                                                                +

                                                                +

                                                                #EmployeeReferralProgram

                                                                +

                                                                +

                                                                Adequate knowledge of French is required for positions in Quebec.

                                                                +

                                                                +

                                                                Additional Information:

                                                                +

                                                                Position Type: Management
                                                                Job Status:
                                                                Intern
                                                                Job Location:
                                                                Canada : Ontario : Don Mills || Canada : Ontario : Toronto
                                                                Flexible work profile:
                                                                Mobile
                                                                Application Deadline: 11/27/2022

                                                                +

                                                                +

                                                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                +


                                                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                +

                                                                +

                                                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                +

                                                                +

                                                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                +

                                                                +

                                                                Created: Canada, ON, Toronto

                                                                +

                                                                +

                                                                Bell, one of Canada's Top 100 Employers.

                                                                ",,https://jobs.bell.ca/ca/en/job/BECACA390452EXTERNALENCA/ON-2023-Internship-Program-Customer-Experience-Marketing-and-Applied-Technologies?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-02-15T17:26:04.415Z,True,0,2,12,https://talenthub.vectorinstitute.ai/jobs/195761431-on-2023-internship-program-customer-experience-marketing-and-applied-technologies-at-bell-canada,BECACA390452EXTERNALENCA,expired,2023-02-12T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, +7846eaf0-7ac7-4b00-a35e-813bb39f5716,189731374,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-01-24T17:42:04.470Z,"

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                The Capital Markets Client Intelligence team is responsible for producing forward-looking analytics that enable RBC’s Capital Markets businesses to make informed decisions. The CI team leverages internal and external benchmarking data and client feedback to deliver client insights and highlight revenue generating opportunities to the Sales & Trading and Corporate & Investment Banking divisions in support of the firm’s key strategic initiatives. In addition to delivering best-in-class analytics and data visualizations, the team partners closely with technology to enhance client analytics tools and CRM used by the front office.

                                                                +

                                                                Vision and Core Values

                                                                -

                                                                What will you do?

                                                                +

                                                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                +

                                                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                  -
                                                                • Leverage various data sources (internal metrics, benchmarking data, client feedback, CRM) to produce data visualizations in Tableau that highlight actionable client insights in support of strategic business initiatives
                                                                • -
                                                                • Coordinate the annual sales & client planning process and track monthly revenue forecasting and Sales KPIs
                                                                • -
                                                                • Partner with Sales and Sales Business Management in the development and design of business KPIs and Tableau dashboards
                                                                • -
                                                                • Coordinate client benchmarking efforts with external vendors including delivery of findings to the business
                                                                • -
                                                                • Lead integration of benchmarking data to produce actionable client insights
                                                                • -
                                                                • Support the Sales platform by leveraging client data and coordinating strategic initiatives to increase revenue and deepen relationships
                                                                • -
                                                                • Support Senior Relationship Management in the internal account review process to identify action plans to improve client rankings and increase revenues
                                                                • -
                                                                • Provide senior leadership client briefs and opportunity analysis ahead of client meetings
                                                                • +
                                                                • Investing to earn outstanding returns with due regard for risk
                                                                • +
                                                                • Partnering with like-minded investment managers
                                                                • +
                                                                • Providing high quality service to our members and employers
                                                                • +
                                                                • Delivering value for money
                                                                • +
                                                                • Building a culture of excellence and pride in OMERS
                                                                +

                                                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                -

                                                                Must-have:

                                                                -
                                                                  -
                                                                • Advanced proficiency in Tableau and Excel (pivot tables, formulas, charts & graphs)
                                                                • -
                                                                • Passion for data visualization and demonstrated ability to organize large amounts of data and effectively present metrics and analysis
                                                                • -
                                                                • Positive attitude and collaborative work approach
                                                                • -
                                                                • Ability to multi-task and manage multiple initiatives and competing priorities
                                                                • -
                                                                • Strong stakeholder management skills and ability to work in fast-paced environment
                                                                • -
                                                                • Strong written & verbal communication skills; ability to communicate confidently
                                                                • -
                                                                • Influencing skills; ability to build relationships with key internal stakeholders and partners
                                                                • -
                                                                • Self-starter, ability to progress and deliver initiatives with little direction / oversight
                                                                • -
                                                                • Ambitious & driven; doesn’t settle for status quo and consistently looks for ways to improve
                                                                • -
                                                                • Bachelor’s degree or higher; at least 2 years of work experience in data visualization and analytics
                                                                • -
                                                                +

                                                                Value Proposition

                                                                +

                                                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                -

                                                                Nice to have:

                                                                -
                                                                  -
                                                                • Capital Markets experience, knowledge of Global Markets products (Fixed Income, FX, Commodities, Futures and Equities) or Corporate & Investment Banking businesses
                                                                • -
                                                                • Experience with client provided ranking and feedback such as scorecards and broker votes
                                                                • -
                                                                • Experience working in a trading floor environment
                                                                • -
                                                                • Ability to effectively communicate to senior management in a concise manner
                                                                • -
                                                                • Strong presentation skills, ability to effectively convey messaging
                                                                • -
                                                                • Ability to synthesize large amounts of information to key takeaways and themes for senior management
                                                                • -
                                                                • Experience in supporting senior leadership teams
                                                                • -
                                                                -
                                                                • Proficiency in SQL, Python and / or Alteryx
                                                                +

                                                                Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                -

                                                                ​​​​​​​What’s in it for you?

                                                                +

                                                                Responsibilities:

                                                                  -
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work and take on greater responsibilities
                                                                • -
                                                                • Access to leaders who support your development through coaching and mentoring opportunities
                                                                • -
                                                                • Work in a dynamic, collaborative, innovative, and high-performing team
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                • +
                                                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                • +
                                                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                • +
                                                                • Automate manual processes and optimize data delivery
                                                                • +
                                                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                • +
                                                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                • +
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • +
                                                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                • +
                                                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support

                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Opportunities to building close relationships with clients
                                                                • +
                                                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                • +
                                                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                • +
                                                                • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                • +
                                                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                • +
                                                                • Deep proficiency in SQL, Python, and similar languages
                                                                • +
                                                                • Good understanding of investment products
                                                                • +
                                                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                • +
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • +
                                                                • Investment data modeling experience using the Kimball method is an asset
                                                                • +
                                                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                • +
                                                                • Data governance experience is an asset
                                                                • +
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field

                                                                -

                                                                The good-faith expected salary range for the above position is $100,000- $155,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                                                                -

                                                                -

                                                                RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                                                                +

                                                                And you demonstrate:

                                                                  -
                                                                • Drives RBC’s high performance culture
                                                                • -
                                                                • Enables collective achievement of our strategic goals
                                                                • -
                                                                • Generates sustainable shareholder returns and above market shareholder value
                                                                • +
                                                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                • +
                                                                • A teammate mentality coupled with servant leadership
                                                                • +
                                                                • A sense of urgency, optimism, and a desire to deliver excellence
                                                                • +
                                                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                • +
                                                                • Strong orientation towards strategy, change, and results
                                                                • +
                                                                • A continuous improvement mindset

                                                                -

                                                                Job Skills

                                                                -

                                                                -

                                                                Additional Job Details

                                                                -

                                                                Address:

                                                                BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK

                                                                City:

                                                                New York

                                                                Country:

                                                                United States of America

                                                                Work hours/week:

                                                                40

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Capital Markets

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-09-12

                                                                Application Deadline:

                                                                2023-10-18

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                -

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000066740/Client-Intelligence-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-30T21:06:00.000Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/283724087-client-intelligence-associate-at-rbc,,expired,2023-10-26T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e1444bb7-b3a1-4a96-a84b-6991597c085a,277326467,TELUS,BI Platforms Administrator,on_site,"Ontario, Canada",2023-10-06T12:30:01.856Z,"
                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4307?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,12,45,https://talenthub.vectorinstitute.ai/jobs/189731374-data-engineer-finance-data-at-omers,,expired,2023-01-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a4366453-bdc5-47fc-93bd-3044355733b6,190519196,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-01-27T17:42:02.489Z,"

                                                                Description

                                                                +


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights-driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high-quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                                -

                                                                -

                                                                We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                                -

                                                                -

                                                                We are searching for a talented candidate to join our team in the role of BI Platforms Administrator. Reporting to the Manager – Analytics and Business Intelligence Platforms, the successful candidate will be responsible for administering and managing a number of BI Platforms and supporting teams to achieve their visualization, BI, and reporting use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, improved speed to market, and automation.

                                                                -

                                                                -

                                                                The successful candidate will work closely with IT and Business groups to achieve business objectives while maintaining reliable and highly efficient BI systems.

                                                                -

                                                                -

                                                                What you’ll do

                                                                +

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                                                                The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                                                                +


                                                                What you’ll do

                                                                  -
                                                                • Accountable for the support and availability of BI platforms and tools (e.g. Tableau)
                                                                • -
                                                                • Responsible for overall management of systems including installation, configuration, connectivity, patching, compliance, and automation opportunities
                                                                • -
                                                                • Provide oversight and guidance to offshore teams that support our BI platforms
                                                                • -
                                                                • Provide guidance to business teams on their Dashboard development efforts
                                                                • -
                                                                • Work with IT teams and business partners to conduct POCs, reduce user toil, and find opportunities to drive new innovation through data & business intelligence
                                                                • -
                                                                • Engage our BI Platform user communities fostering an environment of knowledge sharing, innovative solutions, and user driven problem resolution
                                                                • -
                                                                • Enable the migration of our BI platforms to cloud and support business teams through a period of change
                                                                • -
                                                                • Build exceptional relationships with peer groups across our IT and business teams
                                                                • -
                                                                • Identify opportunities for automation and implement CICD reducing toil and manual work
                                                                • -
                                                                • Implement best in class cloud solutions for BI, leveraging our current partnerships with vendors and our GCP data platform
                                                                • +
                                                                • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                                                                • +
                                                                • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                                                                • +
                                                                • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                                                                • +
                                                                • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                                                                • +
                                                                • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                                                                • +
                                                                • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                                                                -

                                                                -

                                                                Qualifications

                                                                -

                                                                -

                                                                What you bring

                                                                +


                                                                What you bring

                                                                  -
                                                                • You have experience in troubleshooting server and/or BI clients (e.g, Tableau Desktop) related issues
                                                                • -
                                                                • You have diverse backend databases experience e.g. Oracle, SQL Server, BigQuery, Web data connector etc
                                                                • -
                                                                • You have experience using Version Control Systems (e.g. GitHub) with Infrastructure-as-Code (e.g. Terraform) tools to manage Cloud Infrastructure changes
                                                                • -
                                                                • You have solid knowledge of Microsoft Windows Servers and their use in deploying production applications
                                                                • -
                                                                • You have a strong understanding in how to utilize metrics, monitoring, and alerting, for the purpose of maintaining system reliability and content governance
                                                                • -
                                                                • You understand that system stability drives availability and customer trust
                                                                • -
                                                                • You understand how to utilize identity management (e.g. LDAP) and authorization (e.g. IAM) to manage platform access
                                                                • -
                                                                • You have good understanding of DevOps & DataOps principles and tools
                                                                • -
                                                                • Strong communication and Community-of-Practice management skills
                                                                • +
                                                                • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                                                                • +
                                                                • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                                                                • +
                                                                • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                • +
                                                                • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                                                                • +
                                                                • You are experienced with Informatica IICS and Powercenter ETL tools
                                                                • +
                                                                • You have a strong SQL foundation
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +



                                                                Great-to-haves

                                                                  -
                                                                • Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
                                                                • -
                                                                • Relevant Tableau Professional certification
                                                                • -
                                                                • 3+ years of progressive and relevant work experience managing/administering BI Platforms
                                                                • -
                                                                • Experience with the data offerings in Google Cloud Platform
                                                                • +
                                                                • You are experienced in the data engineering field and comfortable in leading projects in it.
                                                                • +
                                                                • You have GCP or other cloud certification.
                                                                • +
                                                                • Scrum Master Certified
                                                                • +
                                                                • PMP Certified
                                                                -

                                                                -

                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-BI-Platforms-Administrator-ON/573619417/,feed-importer@jobboard.io,,,,2023-10-30T12:35:02.956Z,False,0,4,42,https://talenthub.vectorinstitute.ai/jobs/277326467-bi-platforms-administrator-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -cea4e451-9f66-4965-8757-35fa16c8a750,280466454,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-10-16T16:25:02.443Z,"
                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Workplace Model

                                                                -
                                                                Hybrid
                                                                -

                                                                -

                                                                Pay Details

                                                                -

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/190519196-product-owner-data-engineering-at-telus,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +869e530d-76a0-4c8a-bff1-719c056a63de,187920680,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-01-17T17:24:03.138Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                                                +

                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                                                +

                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                                                +

                                                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                                                +

                                                                As a Data Scientist III, these are the essential qualifications of this role:

                                                                +
                                                                  +
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                                                • +
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • +
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • +
                                                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                                                • +
                                                                • Build complex statistical models that learn from and scale to petabytes of data.
                                                                • +
                                                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                                                • +
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • +
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • +
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Ten (10) or more years of relevant experience
                                                                • +
                                                                • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
                                                                • +
                                                                • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/187920680-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-01-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +413b8ae1-6ce9-4c74-a6d0-4c5f3ad8ce88,190518303,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-01-27T17:24:07.558Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                Department Overview

                                                                -
                                                                Provide subject matter expertise and create a broad range of data models by applying a variety of techniques to build out complex data models
                                                                -

                                                                -

                                                                Job Details

                                                                -
                                                                Job Description

                                                                -

                                                                Customer Accountabilities:

                                                                -
                                                                  -
                                                                • Work closely with business owners to identify opportunities and serve as an ambassador for data modelling
                                                                • -
                                                                • Translate business requirements into technical requirements
                                                                • -
                                                                • Work closely with cross functional teams of data scientists and business process owners to deliver cutting edge analytic solutions
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for the businesses
                                                                • -
                                                                • Work in a highly interactive and team-oriented environment with Data Scientists and Visualization experts
                                                                • -
                                                                -

                                                                -

                                                                Shareholder Accountabilities:

                                                                -
                                                                  -
                                                                • Work in a highly interactive, team-oriented environment with Data Scientists and Visualization experts
                                                                • -
                                                                • Ensure core Bank and source systems, data and metadata is appropriately managed to support business requirements / needs
                                                                • -
                                                                • Develop and/or design data solutions and conduct reviews of data models and outputs to validate and test quality of information / solutions
                                                                • -
                                                                -

                                                                -

                                                                Employee/Team Accountabilities:

                                                                -
                                                                  -
                                                                • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                                                                • -
                                                                • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                                                                • -
                                                                • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest
                                                                • -
                                                                • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
                                                                • -
                                                                • Establish effective relationships across multiple business and technology partners, program and project managers
                                                                • -
                                                                • Participate in knowledge transfer within the team and business units
                                                                • -
                                                                +

                                                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                                                -

                                                                Breadth and Depth:

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role
                                                                Are you an experienced data steward or data governance professional? Are you able to identify and manage data risk? If so, this role will enable you to support lines of business to identify and address various data risks, working in alignment with Bank-wide data standards and policy. This role will report into the Manager, Data Steward.

                                                                +

                                                                As a Data Steward, your ability to analyze, organize and prioritize will be foundational to your success in the role. You will act as a subject matter expert and develop and maintain a robust understanding of governance and control requirements. Your strong ability to work with multiple stakeholders and form positive working relationships will be key. As a key member of the team, you will:

                                                                  -
                                                                • Act as a subject matter expert within their own area of specialization
                                                                • -
                                                                • May serve as an escalation or process reference within field of specialty
                                                                • -
                                                                • Act an information resource for others in their own area
                                                                • -
                                                                • Solve complex problems requiring analysis of multiple variables, which may include consultation with numerous stakeholders
                                                                • -
                                                                • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or escalated matters
                                                                • -
                                                                • Independently perform functions/activities from end to end
                                                                • -
                                                                • Generally reports to a Senior / Manager role
                                                                • +
                                                                • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
                                                                • +
                                                                • Review and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
                                                                • +
                                                                • Monitor, track and assess Line of Business (LOB) adherence to Enterprise Data Policies and Standards
                                                                • +
                                                                • Support governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality management and data retention and disposition
                                                                • +
                                                                • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs / policies / practices
                                                                • +
                                                                • Deliver training, tools, and advice to support the governance and oversight of data
                                                                • +
                                                                • Coordinate and partner with other control partners to support LOB implementation and execution of data governance requirements and associated controls to mitigate data risk
                                                                • +
                                                                • Understand trends, identify issues and opportunities, and recommend action to management
                                                                • +
                                                                • Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality; escalate issues where appropriate
                                                                • +
                                                                • Protect the interests of the organization; identify and manage risks, raising issues as necessary
                                                                • +
                                                                • Lead, motivate and build positive working relationships with internal and external partners; continually improve professional expertise, knowledge transfer and be a brand ambassador for data stewardship and your LOB

                                                                -

                                                                Job Requirements

                                                                +

                                                                Requirements

                                                                -

                                                                Experience and/or Education:

                                                                +What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • 5+ years relevant experience
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Five (5) or more years relevant experience
                                                                • +
                                                                • Solid understanding of data governance principles and an understanding of data risk and data management
                                                                • +
                                                                • Solid understanding of data structures and data flows
                                                                • +
                                                                • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently and proactively
                                                                • +
                                                                • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
                                                                • +
                                                                • Proficient in Microsoft Suite of products (Office 365, Excel, PowerPoint, Word, Outlook)
                                                                • +
                                                                • Experience working with JIRA and Confluence is considered an asset
                                                                • +
                                                                • Problem solving capabilities are required along with a strong focus on attention to detail
                                                                • +
                                                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members, and build positive relationships across teams and functions

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                -
                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -
                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-02T16:30:04.400Z,False,0,13,92,https://talenthub.vectorinstitute.ai/jobs/280466454-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-10-16T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -0c03a72c-77ad-42b2-b2a9-b9b4db97be16,218284099,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-04-24T17:42:02.687Z,"

                                                                Description

                                                                -

                                                                Position: Staff Perception Developer - Localization and Mapping
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 5-10 Years Relevant Work Experience
                                                                Education: Graduate Degree in a related field
                                                                Division: OTTO Motors

                                                                -


                                                                About OTTO Motors, a division of Clearpath Robotics

                                                                -

                                                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                -

                                                                About the Job

                                                                -

                                                                We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                -

                                                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                -

                                                                About You

                                                                -

                                                                For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                -

                                                                Your primary responsibilities will be:

                                                                -
                                                                  -
                                                                • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
                                                                • -
                                                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                • -
                                                                • Evaluation of new algorithms and sensing technology
                                                                • -
                                                                • Assisting with concept development for new products and projects
                                                                • -
                                                                • Supporting deployment and testing of robotic systems
                                                                • -
                                                                -
                                                                  -
                                                                • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                • -
                                                                • Stay up to the date with the latest developments from academia and industry
                                                                • -
                                                                -

                                                                Skills and experience:

                                                                -
                                                                  -
                                                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                • -
                                                                • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
                                                                • -
                                                                • Strong software development skills in modern C++.
                                                                • -
                                                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                • -
                                                                • Excellent leadership, teamwork, and communication skills.
                                                                • -
                                                                • Ability to independently develop software development plans, including scope, timelines, and test procedures.
                                                                • -
                                                                • Hands-on experience with real world autonomous systems.
                                                                • -
                                                                -

                                                                Bonus points for:

                                                                -
                                                                  -
                                                                • Experience writing efficient, high performance code
                                                                • -
                                                                • ROS, Gazebo, OpenCV and PCL experience
                                                                • -
                                                                • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
                                                                • -
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                • -
                                                                -

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-05-24T20:16:41.911Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/218284099-staff-perception-developer-localization-and-mapping-at-clearpath,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -0d40bd76-ce30-4803-8176-7cfeb9abd17f,226986709,NVIDIA,Solution Architect – Drug Discovery and AI,on_site,"Ontario, Canada",2023-05-18T16:15:03.616Z,"
                                                                -

                                                                Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Solutions Architect to work with life sciences customers in EMEA focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

                                                                -

                                                                -

                                                                We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. As a Solution Architect, you will work with cutting-edge computing hardware and software as well as driving the latest breakthroughs in deep learning and artificial intelligence. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire domain. This role offers an excellent opportunity to expand your career while empowering the world\'s most successful companies and institutes. Join us in this exciting journey!

                                                                -

                                                                -

                                                                What you will be doing:

                                                                -
                                                                  -
                                                                • You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs.

                                                                • -
                                                                • Staying up to date on the state of the art in your application domain and in the production deep learning and machine learning ecosystem. Your responsibilities will include enabling customer adoption of NVIDIA technology and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

                                                                • -
                                                                • Be a thought leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as cheminformatics or drug discovery.

                                                                • -
                                                                • Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

                                                                • -
                                                                • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

                                                                • -
                                                                • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

                                                                • -
                                                                -

                                                                -

                                                                What we need to see:

                                                                -
                                                                  -
                                                                • AI/ML expertise, MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

                                                                • -
                                                                • 5+ years of work-related experience in software development of deep learning methods for scientific applications.

                                                                • -
                                                                • Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

                                                                • -
                                                                • Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

                                                                • -
                                                                • Familiarity with containers, numerical libraries, modular software design, version control

                                                                • -
                                                                • Background in molecular modeling and life sciences.

                                                                • -
                                                                • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skill.

                                                                • -
                                                                • Strong time-management and organizational skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

                                                                • -
                                                                • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain

                                                                • -
                                                                -

                                                                -

                                                                Ways to stand out from the crowd:

                                                                -
                                                                  -
                                                                • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

                                                                • -
                                                                • Background in CryoEM, Single cell sequencing or computational simulation is a plus

                                                                • -
                                                                • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

                                                                • -
                                                                • Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

                                                                • -
                                                                • Experience with distributed programming models for supercomputing applications, e.g., MPI.

                                                                • -
                                                                • Published record of thought leadership in a technical area or industry segment.

                                                                • -
                                                                -

                                                                -

                                                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Solution-Architect---Drug-Discovery-and-AI_JR1966453-1,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/226986709-solution-architect-drug-discovery-and-ai-at-nvidia,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, -5b45ecf3-e0db-4f5c-a2e6-b5f5164e10f4,228138970,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-05-22T16:15:05.381Z,"
                                                                -

                                                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                -

                                                                -

                                                                You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                -

                                                                -

                                                                What You’ll Be Doing:

                                                                -
                                                                  -
                                                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                                                • -
                                                                • Work directly with key customers to understand their technology and provide the best solutions.

                                                                • -
                                                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                • -
                                                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                                                • -
                                                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                • -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/190518303-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17697340/data-steward-i-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0245e7f5-43ce-44e3-a857-0b9f94a88289,196078036,TD Bank Group,"Senior Manager, Data Analytics & Reporting (FRC group)",on_site,"Toronto, ON",2023-02-13T17:24:02.266Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                What We Need to See:

                                                                -
                                                                  -
                                                                • Excellent verbal, written communication, and technical presentation skills in English.

                                                                • -
                                                                • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                                                • -
                                                                • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                • -
                                                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                • -
                                                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                                                • -
                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +

                                                                -

                                                                Ways to Stand Out from The Crowd:

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Senior Manager, Data Analytics & Reporting, Finance Risk Controls will be responsible for executing the detailed analytical work related to production of oversight and governance reporting, running monthly/quarterly completeness checks and managing dashboards within TD’s data environment and suite of tools (e.g., HIVE, PySpark, Tableau). The individual will support the team in strengthening of internal controls and enhancing governance and Quality Check (QC) program for financial controls across the Bank. The individual will support the team(s) in ensuring compliance with Finance policies and effectiveness of controls related to financial reporting.

                                                                +

                                                                Specific Functions and Accountabilities

                                                                  -
                                                                • Experience running large scale distributed DL training.

                                                                • -
                                                                • Background with working with larger transformer-based architectures.

                                                                • -
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • -
                                                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228138970-senior-ai-solutions-architect-at-nvidia,,expired,2023-05-22T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -6749ea36-5429-4e4b-b380-a0b3d8bdcac3,219396172,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-04-27T17:37:02.506Z,"

                                                                Senior Manager - Data Risk - Quality and Governance Management

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: 18-May-2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                -
                                                                -

                                                                We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

                                                                -

                                                                -

                                                                The opportunity

                                                                -

                                                                -

                                                                EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

                                                                -

                                                                -

                                                                We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

                                                                -

                                                                -

                                                                Your key responsibilities

                                                                -

                                                                -

                                                                As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

                                                                -

                                                                -

                                                                You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

                                                                -

                                                                -

                                                                You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

                                                                -

                                                                -

                                                                This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

                                                                -

                                                                -

                                                                Additional responsibilities include:

                                                                -
                                                                • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
                                                                • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
                                                                • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
                                                                • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
                                                                • Assisting clients with setup of 3 LOD data risk management framework
                                                                • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
                                                                • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
                                                                • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                                                • -
                                                                -


                                                                Skills and attributes for success

                                                                -
                                                                • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
                                                                • Be self-motivated and passionate about data strategy, management, governance and risk
                                                                • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
                                                                • -
                                                                -


                                                                To qualify for the role, you must have

                                                                -
                                                                • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
                                                                • Bilingual skills in French and English are a strong asset
                                                                • 5+ years of experience developing data management and governance strategies
                                                                • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                                • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                                                • Knowledge of SQL with experience operating in big data environments.
                                                                • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
                                                                • Strong leadership experience within data management and governance
                                                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                                • Experience with data management tools such as Collibra, Informatica, etc.
                                                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                                                • Experience of Agile and traditional SDLC delivery methodologies
                                                                • -
                                                                -


                                                                Ideally, you’ll also have

                                                                -
                                                                • Prior consulting experience
                                                                • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                                                                • -
                                                                -


                                                                What we look for

                                                                -

                                                                -

                                                                If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

                                                                -

                                                                -

                                                                What we offer

                                                                -

                                                                -

                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                -

                                                                -

                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                -
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • -
                                                                -

                                                                -

                                                                Diversity and Inclusion at EY

                                                                -

                                                                -

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                -
                                                                -
                                                                -
                                                                EY | Building a better working world
                                                                -
                                                                -
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                -
                                                                -
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                -
                                                                -
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-05-28T03:11:12.749Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219396172-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-04-27T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -9f570b44-9a6b-4ebd-a66b-f04aee2a4563,204324024,CN,Expert Solution Design (Data engineering),on_site,"Ontario, Canada",2023-03-13T17:42:03.572Z,"
                                                                -

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                -
                                                                -

                                                                Job Summary

                                                                -

                                                                The Expert Solution Design is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Solution Design develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                -

                                                                -

                                                                Main Responsibilities

                                                                Data Engineering

                                                                -

                                                                -

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                -

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                -

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                -

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                -

                                                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                -

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                -

                                                                · Integrate analytics and data science results with business processes

                                                                -

                                                                · Promote effective data management practices

                                                                -

                                                                -

                                                                Data Design

                                                                -

                                                                -

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                -

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                -

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                -

                                                                · Expose the data into meaningful formats, like GraphQL

                                                                -

                                                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                -

                                                                · Participate in building data engineering expertise and framework

                                                                -

                                                                · Translate business needs into technical requirements

                                                                -

                                                                -

                                                                Data Development

                                                                -

                                                                -

                                                                · Acquire, ingest and process data from multiple sources and systems

                                                                -

                                                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                -

                                                                · Conduct metadata management, data cleansing and preparation

                                                                -

                                                                · Produce well documented quality codes

                                                                -

                                                                -

                                                                Data Operations - 10% -

                                                                -

                                                                -

                                                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                -

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                -

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                -

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                -

                                                                -

                                                                Data Quality Assurance

                                                                -

                                                                -

                                                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                -

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                -

                                                                · Maintain manual and automated test scripts

                                                                -

                                                                -

                                                                Working Conditions

                                                                -

                                                                -

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                -

                                                                -

                                                                -

                                                                Requirements

                                                                Experience

                                                                +
                                                              • Managing end-to-end production of reports and dashboards supporting FRC in its mandate of oversight certain Finance policies and financial reporting controls
                                                              • +
                                                              • Executing data pipeline and performing data engineering tasks using big data processing tools like HIVE, PySpark
                                                              • +
                                                              • Performing bug fixes and updating existing business logic based on business feedback.
                                                              • +
                                                              • Creating new metrics/tables and integrating them into the data pipeline on an ongoing basis
                                                              • +
                                                              • Running any manual processes to support production of dashboards, e.g., preparing files for data ingestion into TD’s analytics environment
                                                              • +
                                                              • Understanding metrics and validating those metrics with business partners, validating data quality for key performance metrics and performing root-cause analysis for any discrepancies noted, in alignment with relevant business partners
                                                              • +
                                                              • Gathering requirements for creation of new metrics and reports for dashboards arising from evolving needs
                                                              • +
                                                              • Collaborating with business partners in sourcing and maintaining reports and dashboard
                                                              • +
                                                              • Leading review and walkthrough sessions with various business and technology partners
                                                              • +
                                                              • Maintaining, prioritizing and implementing a feature backlog based on user feedback
                                                              • +
                                                              • Enhancements of reporting and dashboard design to optimize dashboard performance
                                                              • +
                                                              • Supporting management supervision and review, ongoing training needs, and change management.
                                                              • +
                                                              • Supporting dashboard user access management
                                                              • +
                                                              • Documenting and setting up of operating procedures to support dashboard implementation e.g., data lineage, metric formulation, data modelling, use cases, etc.
                                                              • +
                                                              • Preparing ad hoc reports and presentations, as required
                                                              • + +

                                                                -

                                                                Data Engineering

                                                                -

                                                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                -

                                                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                -

                                                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                -

                                                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                -

                                                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                -

                                                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                -

                                                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                -

                                                                · Experience with Linux and shell scripting

                                                                -

                                                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                -

                                                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                -

                                                                · Experience working in an Agile team environment

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                Specific Educational and Professional Experience Requirements:

                                                                +
                                                                  +
                                                                • University degree in business analytics or other relevant fields
                                                                • +
                                                                • 5+ years experience in data analytics, reporting and business intelligence roles
                                                                • +
                                                                • Strong knowledge of big data processing tools like, Hive and HQL/SQL, Python and PySpark to extract and transform data
                                                                • +
                                                                • Advance working knowledge of MS Excel, VBA and PowerPoint is highly preferred
                                                                • +
                                                                • Experience in an accounting/finance role (financial services industry desirable)
                                                                • +
                                                                • Internal controls experience will be an asset
                                                                • +
                                                                • Familiarity with TD businesses, technology, finance and data ecosystem will be an asset
                                                                • +
                                                                • Financial reporting, process, operations, internal controls, audit experiences will be an asset
                                                                • +
                                                                +
                                                                Professional Skills and Competencies Requirements:

                                                                +
                                                                  +
                                                                • Excellent problem-solving skillsets with ability to interpret new business requirements, undertake deep-dive analysis and translate findings into actionable data insights
                                                                • +
                                                                • Ability to work with numbers, large data sets and their interpretation for business impact
                                                                • +
                                                                • Ability to make recommendations based on a combination of data, professional judgment and common sense
                                                                • +
                                                                • Ability to navigate some level of ambiguity and execute
                                                                • +
                                                                • Ability to synthesize data, extract meaning and utilize relevant information to identify opportunities and provide recommendations
                                                                • +
                                                                • Effective communication skills (both written and verbal), organizational and time-management skills
                                                                • +
                                                                • Good understanding of financial statement assertions and their practical application in controls
                                                                • +
                                                                +
                                                                +

                                                                -

                                                                Education/Certification/Designation

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                #FinanceCareers

                                                                -

                                                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                -

                                                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                -

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                -

                                                                · Google or Azure Data Engineering certification*

                                                                -

                                                                *Any designation for these above would be considered as an asset

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Competencies

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                -

                                                                · Ability to communicate complex solutions

                                                                -

                                                                · Applies analytical thinking

                                                                -

                                                                · Innovates through problem solving

                                                                -

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                -

                                                                · Demonstrates organizational abilities and detail oriented

                                                                -

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                -

                                                                · Works independently with little supervision

                                                                -

                                                                · Applies agile mindset

                                                                -

                                                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                -

                                                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/196078036-senior-manager-data-analytics-reporting-frc-group-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,expired,2023-02-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +3a7b05a4-c9ca-4057-8aba-4f90fd9c6bc5,189729201,BMO Financial Group,"Digital Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-24T17:12:02.474Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                                                +

                                                                +

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                +

                                                                +
                                                                +

                                                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                -

                                                                Technical Skills/Knowledge

                                                                +

                                                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                                                +
                                                                +

                                                                +

                                                                -

                                                                · Strong data analytics and development skills

                                                                -

                                                                · Demonstrated creativity skills

                                                                -

                                                                · Expertise in a combination of Scala, Java or Python

                                                                -

                                                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                -

                                                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                -

                                                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                -

                                                                · Expertise with GraphQL*

                                                                -

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +
                                                                  +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • +
                                                                • Analyzes issues and determines next steps.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                                                • +
                                                                • Knowledge of website analytics tools.
                                                                • +
                                                                • Specialized knowledge.
                                                                • +
                                                                • Verbal & written communication skills - Good.
                                                                • +
                                                                • Organization skills - Good.
                                                                • +
                                                                • Collaboration & team skills - Good.
                                                                • +
                                                                • Analytical and problem solving skills - Good.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -
                                                                -About CN

                                                                -

                                                                -

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -
                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-16T17:17:03.685Z,False,0,12,47,https://talenthub.vectorinstitute.ai/jobs/189729201-digital-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-24T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +4b2b896d-6dda-497d-8013-3fc967d30638,192665218,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.528Z,"

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-27T17:47:04.802Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/204324024-expert-solution-design-data-engineering-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c9f7d4c8-1202-4678-8bf7-67a44c389770,206568790,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:01.827Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 173761

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -

                                                                -

                                                                As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                -

                                                                -

                                                                -

                                                                What your role will be:

                                                                -

                                                                -
                                                                • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                                                • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                                                • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                                                • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present results to business line stakeholders and help implement real data-driven changes
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                                                • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                                • Skills you already have:
                                                                • -
                                                                -

                                                                +

                                                                Requisition ID: 169910

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Purpose:

                                                                -

                                                                Education / Experience:

                                                                +

                                                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                                                +


                                                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                                                -
                                                                • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                                                • Experience with machine learning, statistical techniques, as well as model testing and validation
                                                                • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
                                                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                • Programming skills in Python, Java, or Scala
                                                                • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                                                • Experience with UNIX tools and shell scripting preferred
                                                                • Expertise with Docker or Kubernetes is an asset
                                                                • Experience with various services on Google Cloud Platform is an asset
                                                                • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                                                • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                                                • Experience using and implementing visualization tools is an asset
                                                                • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                                                • Experience working with cross-functional team in an Agile environment is an asset
                                                                • Strong verbal, written, presentation & communication skills
                                                                • Proactive, organized, excellent analytical and problem-solving skills
                                                                • -
                                                                +

                                                                Specifically, the individual will be responsible for:

                                                                +


                                                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                                                +

                                                                Accountabilities:

                                                                +



                                                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                                                Requirements & Qualifications:

                                                                +



                                                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                                                • Experience in developing executive-friendly presentations and dashboards
                                                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                                                • Strong curiousity to learn with adaptive and creative mindset
                                                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-27T17:27:03.683Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/206568790-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:05.053Z,"
                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-16T17:27:03.421Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/192665218-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +5f33b2ec-b9ca-4e14-9ce3-9c09fd2e115a,190518298,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-01-27T17:24:07.124Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -54768,1498 +54308,1602 @@ ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer

                                                                Department Overview

                                                                -
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                Job Description

                                                                -
                                                                The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                -

                                                                What are your main responsibilities?

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                You’ll take the helm of a diverse, inclusive and collaborative group of highly skilled analysts that own reporting, insights and forecasting function for Canadian Fraud Performance Management. The Senior Manager reconciles and condenses/summarizes numerous metrics for our Executives and partners. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                +

                                                                +

                                                                TD’s Fraud Strategy team is undergoing transformational change to become global market leaders. Come and lead this journey.

                                                                +

                                                                +

                                                                As a Senior Manager, Forecasting, Reporting and Insights you will:

                                                                  -
                                                                • Own and ship product features that enable ML engine capabilities
                                                                • -
                                                                • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                • -
                                                                • Work with research scientists and MLOps team to maintain service product.
                                                                • +
                                                                • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                                                                • +
                                                                • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                                                                • +
                                                                • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                                                • +
                                                                • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                                                • +
                                                                • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                                                                • +
                                                                • Set operational team direction and partner to execute on common goals
                                                                • +
                                                                • Manage teams of Business Insights & Analytics professionals/specialists
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • +
                                                                • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • +
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • +
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • +
                                                                • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • +
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • +
                                                                • Build understanding of big data and advanced analytics capability
                                                                • +
                                                                • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                                                                • +
                                                                • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture

                                                                Requirements

                                                                -Must-Have:

                                                                +

                                                                What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Education & Experience:

                                                                  -
                                                                • Experience with building and scaling data-intensive software.
                                                                • -
                                                                • You value good software design and sweat over details in code and API design.
                                                                • -
                                                                • You enjoy learning new technology and also educating others.
                                                                • -
                                                                • You take great personal pride in building robust and scalable software.
                                                                • -
                                                                • You strive to communicate clearly and with empathy.
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                • +
                                                                • Ten (10) or more years relevant experience
                                                                • +
                                                                • Bachelor’s degree in a numerate discipline (e.g. Statistics, Business) required
                                                                • +
                                                                • Master’s degree in a numerate discipline (e.g. Statistics, Business) preferred
                                                                • +
                                                                • Programming and databases knowledge, ability to process and analyze large volumes of data
                                                                • +
                                                                • Background in reporting automation through BI tools like Tableau, Power BI, Hyperion, etc
                                                                • +
                                                                • Strong leadership and general management skills in overseeing a team and working collaboratively across functions
                                                                • +
                                                                • A high level of integrity, earning the respect and trust of her/his peer group and employees
                                                                • +
                                                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                • +
                                                                • Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                • +
                                                                • Demonstrated analytical, financial modeling and problem-solving skills
                                                                • +
                                                                • Solid understanding of Retail Products and Channels
                                                                • +
                                                                +

                                                                What will set you apart:

                                                                +
                                                                  +
                                                                • Background in Fraud
                                                                • +
                                                                • Reporting automation experience
                                                                • +
                                                                • Knowledge of TD Finance system an asset
                                                                • +
                                                                • Tools: SQL, Hyperion, Tableau, Power BI, Azure
                                                                • +
                                                                +

                                                                +

                                                                Employee/Team Accountabilities:

                                                                +
                                                                  +
                                                                • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
                                                                • +
                                                                • Supports the creation of goals and objectives for the business unit/function; Communicates those goals and objectives to the team
                                                                • +
                                                                • Builds capability support / executes plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
                                                                • +
                                                                • Role-models behaviors consistent with TD’s leadership profile, customer and employee experience agendas and risk and control culture
                                                                • +
                                                                • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD’s diversity agenda, and creates an extraordinary employee experience
                                                                • +
                                                                • Leads, coaches and develops a highly effective team by ensuring ongoing training and performance and development management
                                                                -

                                                                Nice to have

                                                                -

                                                                Experience building a library or a framework.
                                                                Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.
                                                                Knowledge of distributed systems.

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                +
                                                                #tdcybersecurity #LI-Post

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                -
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:35:46.537Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/198034030-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3e6af86b-2f09-4076-b502-2383408b3b4e,198986742,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-02-23T17:20:02.831Z,"
                                                                -
                                                                -2022-12-07T11:18:47.798Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Student Researcher, BS, 2023

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                • + 2 more locations
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                -

                                                                This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  -
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  -
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                  -
                                                                • -
                                                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                  -
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                -

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-26T16:58:07.416Z,False,0,15,77,https://talenthub.vectorinstitute.ai/jobs/198986742-student-researcher-bs-2023-at-google,,expired,2023-02-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -ca5ec961-7557-40ec-895c-9038267d4eab,198994205,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-02-23T17:37:02.743Z,"

                                                                Manager- Banking Technology - Capital Markets (Data)

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: Mar 12, 2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                -
                                                                -

                                                                The Opportunity

                                                                -

                                                                -

                                                                We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                                                                -

                                                                We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                                                                -

                                                                -

                                                                Your Key Responsibilities

                                                                -

                                                                -

                                                                As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                                                                -

                                                                -

                                                                You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                                                                -

                                                                -

                                                                This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                                                                -

                                                                -

                                                                You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                                                                -

                                                                -

                                                                Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                                                                -

                                                                -

                                                                You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                                                                -

                                                                -

                                                                Skills and attributes for success

                                                                -
                                                                • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                                                                • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                                                                • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                                                                • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                                                                • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                                                                • -
                                                                -


                                                                -

                                                                To qualify for the role, you must have

                                                                -
                                                                • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                                                                • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                                                                • -Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                                                                  • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                                                                  • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                                                                  • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                                                                  • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                                                                  • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                                                                  • Overall understanding of the front to back capital markets data value chain
                                                                  • Excellent analytical skills with ability to systematically resolve technical problems
                                                                  • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                                                                • -
                                                                -


                                                                Ideally, you’ll also have

                                                                -

                                                                -

                                                                Technical Skills (Technologies)

                                                                -
                                                                • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                                                                • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                                                                • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                                                                • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                                                                • Comfortable with object-oriented programming
                                                                • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                                                                • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                                                                • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                                                                • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                                                                • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                                                                • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                                                                • Experience in architecture and design of solutions based on functional requirements
                                                                • Experience with application integration, upgrade, decommissioning
                                                                • Experience building and deploying applications in cloud
                                                                • Leading development teams, agile pods
                                                                • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                                                                • -
                                                                -


                                                                Desired Skills

                                                                -
                                                                • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                                                                • SCRUM master and PMP certification is a plus
                                                                • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                                                                • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                                                                • Developing technology strategy, architecture principles, product roadmap
                                                                • -Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                                                                • -
                                                                -

                                                                What we look for

                                                                -


                                                                Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                                                                -

                                                                -

                                                                What we offer

                                                                -


                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                -


                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                                                                -
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • -
                                                                -


                                                                Diversity and Inclusion at EY

                                                                -

                                                                -

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                -
                                                                -
                                                                EY | Building a better working world
                                                                -
                                                                -
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                -
                                                                -
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                -
                                                                -
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,feed-importer@jobboard.io,,,,2023-03-26T17:16:46.889Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/198994205-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,expired,2023-02-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -ca08aa7d-f4d1-4181-9750-547d422d5b28,200116547,BMO Financial Group,Sr. Anaplan Modeler,on_site,"Ontario, Canada",2023-02-27T17:12:01.555Z,"
                                                                -

                                                                Application Deadline:

                                                                04/27/2023

                                                                -

                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                Successful candidate will be responsible for data modelling within BMO’s instance of Anaplan to support BMO’s planning and forecasting functions within Finance. Individual should possess an Anaplan Certified Model Builder accreditation with field experience implementing various large-scale projects utilizing iterative/agile project management methodology and domain best practices. Candidate will be the subject matter expert for data integration, translation, and transformation from input sources into models/reports/dashboards and will coordinate with various business and technology stakeholders to develop intermediate/advanced business intelligence models, interpreting business requirements into effective solution designs. The incumbent should possess strong analytical, problem-solving and communication skills with the ability to use creative thinking to solve complex business/technical problems.

                                                                -

                                                                -

                                                                -

                                                                Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                -
                                                                  -
                                                                • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                • -
                                                                • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                • -
                                                                • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                • -
                                                                • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                • -
                                                                • Attracts, retains, and enables the career development of top talent.
                                                                • -
                                                                • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                • -
                                                                • Influences and negotiates to achieve business objectives.
                                                                • -
                                                                • Identifies emerging issues and trends to inform decision-making.
                                                                • -
                                                                • Provides strategic input into business decisions as a trusted advisor.
                                                                • -
                                                                • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                • -
                                                                • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                                                • -
                                                                • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                                                • -
                                                                • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                • -
                                                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                • -
                                                                • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                                                • -
                                                                • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                • -
                                                                • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                                                • -
                                                                • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                                                • -
                                                                • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                • -
                                                                • Identifies/creates the appropriate algorithm to discover patterns.
                                                                • -
                                                                • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                                                • -
                                                                • Oversees the development and delivery of tools and training for data and analytics.
                                                                • -
                                                                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                • -
                                                                • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                • -
                                                                • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                                • -
                                                                • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                • -
                                                                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                • -
                                                                • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                                                • -
                                                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                • -
                                                                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                • -
                                                                • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                • -
                                                                • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                • -
                                                                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                • -
                                                                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                • -
                                                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                • -
                                                                • Performs experimental design approaches to validate finding or test hypotheses.
                                                                • -
                                                                • Uses the appropriate algorithms to discover patterns.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                • -
                                                                • Supports development of tools and delivers training for data analytics and AI.
                                                                • -
                                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Leads/participates in the design, implementation and management of core business/group processes.
                                                                • -
                                                                • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                • -
                                                                • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                • -
                                                                • Implements changes in response to shifting trends.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                                                • -
                                                                • In depth experience using machine learning algorithms.
                                                                • -
                                                                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                • -
                                                                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                • -
                                                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                • -
                                                                • Verbal & written communication skills - In-depth / Expert.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth / Expert.
                                                                • -
                                                                • Influence skills - In-depth / Expert.
                                                                • -
                                                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                • -
                                                                • Able to manage ambiguity.
                                                                • -
                                                                • Data driven decision making - In-depth / Expert.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Anaplan-Modeler_R230003700?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-29T20:11:24.197Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/200116547-sr-anaplan-modeler-at-bmo-financial-group,,expired,2023-02-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -1cdb9a25-7afb-4812-8bf2-6988d46495e6,199290397,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-02-24T17:42:02.684Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                                                                -

                                                                -

                                                                You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                                                                -

                                                                -

                                                                As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                                                                -

                                                                -

                                                                You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                                                                -


                                                                What you’ll do

                                                                -

                                                                -
                                                                  -
                                                                • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                                                                • -
                                                                • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                                                                • -
                                                                • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                                                                • -
                                                                • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                                                                • -
                                                                • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                                                                • -
                                                                • Implement automation and monitoring tools through a test-driven approach and mindset
                                                                • -
                                                                • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                                                                • -
                                                                -
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/190518298-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +62b8f756-a034-40d6-aca1-3690f5becdf2,194552839,TD Bank Group,eCommerce and Mobile Wallets Intern/Co-op,on_site,"Toronto, ON",2023-02-09T17:24:04.813Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                What you bring

                                                                -

                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  -
                                                                • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                                • -
                                                                • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
                                                                • -
                                                                • An expert understanding of data warehouses/cloud architectures and ETL processes
                                                                • -
                                                                • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                                                • -
                                                                • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                                                                • -
                                                                • Experience with Python and software engineering best practices
                                                                • -
                                                                • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                                                                • -
                                                                • Experience with data pipeline and workflow management tools such as Airflow
                                                                • -
                                                                • Experience with Github and CICD processes
                                                                • -
                                                                • Having a proven track record in leading data analytics platform projects
                                                                • -
                                                                • Ready to work in new and challenging work environments
                                                                • -
                                                                • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                                                • -
                                                                • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                                                • -
                                                                • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                                                • -
                                                                • Working in cross-functional teams with exemplary communication and coordination skills
                                                                • -
                                                                • Proving your analytical skills with root cause analysis of issues
                                                                • -
                                                                • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                                                                • -
                                                                • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                                                                • +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                -

                                                                -

                                                                Great-to-haves

                                                                +

                                                                Canadian Card Payments and Loyalty Group
                                                                TD is a leader in the Canadian credit card market with industry leading digital capabilities. TD consumer and business credit cards are distributed nationally, leveraging our retail distribution network, direct response channels and key co-brand partnerships. The Canadian Card Payments & Loyalty team is responsible for strategy, product development, customer lifecycle management, and financial performance of all Canadian credit card products.

                                                                +

                                                                As part of the Canadian Card Payments & Loyalty team, the eCommerce and Mobile Wallets team aims to help TD defend its strong position in payments by facilitating seamless end-to-end digital and frictionless payments experiences for our customers. Specifically, the team is responsible for:

                                                                  -
                                                                • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                                                • -
                                                                • Machine learning and data science knowledge
                                                                • +
                                                                • The eCommerce & Mobile Wallet strategy and roadmap
                                                                • +
                                                                • Executing on a number of initiatives to accelerate eCommerce & Mobile Wallets in partnership with the Enterprise payments team
                                                                • +
                                                                • Maintaining relationships with Mobile Wallets providers, assess new mobile wallets solutions and assess opportunities to deepen digital wallet engagement
                                                                -


                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Reporting to the AVP, eCommerce & Mobile Wallets, the Co-Op will play a key role in conducting research and analysis, contributing to the development & delivery of our strategy and KPIs and building business cases to support investment decisions.

                                                                +

                                                                Key accountabilities:

                                                                +
                                                                  +
                                                                • Support agile delivery of key eCommerce & Mobile Wallet priorities
                                                                • +
                                                                • Supports the preparation of presentation materials (e.g. new initiatives, strategy, performance).
                                                                • +
                                                                • Conducts ad-hoc reporting or analysis as required to support key initiatives.
                                                                • +
                                                                • Supports the assessment of new opportunities (e.g. financial model building & analysis, research, competitive analysis, assesses strategic alignment of initiatives).
                                                                • +
                                                                • Conducts research and analysis to stay current on emerging & competitive trends in the industry and to support ongoing initiatives.
                                                                • +
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/566944717/,feed-importer@jobboard.io,,,,2023-03-29T20:03:21.218Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/199290397-senior-data-engineer-at-telus,,expired,2023-02-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -9037bf3c-ef41-412b-ba0f-9559750c192c,204324011,CN,Specialist Data Design,on_site,"Ontario, Canada",2023-03-13T17:42:03.002Z,"

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                -

                                                                The Specialist, Data Design is responsible for understanding business requirements, creating data definitions, data quality requirements, define data transformation rules, as well as logical and physical data models. The incumbent brings technical expertise to ensure the quality and accuracy of data, then process, designs and presents it in ways to help people, businesses, and organizations make better decisions.

                                                                Main Responsibilities

                                                                -

                                                                Data Design and Management

                                                                · Build conceptual, logical, and physical data models

                                                                · Build source to target mapping documents to describe data transformations

                                                                · Design and develop curated data assets in Data Lake and Data Warehouse to support reporting, data science and data engineering

                                                                · Define, document, and maintain standards and best practices around data modelling

                                                                Testing, Troubleshooting and Delivery

                                                                · Assess and design data architecture components (e.g., data model, mapping, data flows, and transformations) to make sure they are well integrated and aligned with the data and technical architecture

                                                                · Troubleshoot data issues within the business and present solutions and recommendations

                                                                · Define unit testing to ensure Data Engineers follow specifications

                                                                · Participate in the delivery and support of data quality and consolidation initiatives

                                                                · Propose simplification initiatives to allow for more effective data design, and management

                                                                Requirements

                                                                Experience

                                                                Data Design and Modelling

                                                                · Between 3 to 5 years overall work experience

                                                                · Minimum 3 years of experience in analysis, data design and data modelling

                                                                · Experience performing root cause analysis to answer specific business questions and identify opportunities for improvement

                                                                · Experience with big data processing

                                                                · Experience in real time data streaming and loading

                                                                · Experience modelling data for data science projects*

                                                                · Experience working with Scale Agile Methodology (SAFe)*

                                                                · Experience with semi-structured and unstructured data*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                -

                                                                · Bachelor’s Degree specializing in Computer Science, Business Analytics, Mathematics and Statistics, or other quantitative field, related degree, or equivalent experience

                                                                Competencies

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                -

                                                                · Advanced knowledge of dimensional modelling techniques, data modelling and data architecture best practices

                                                                · Advanced SQL skills

                                                                · Knowledge of Azure Data Lake (ADLS), Data Warehouse, Data Factory, Development Operations (DevOps) Continuous Integration (CI) and Continuous Delivery (CD), Databricks, and Business Intelligence or relevant data environment

                                                                About CN

                                                                -

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                                                                • +
                                                                • Strong analytical skills and strong business acumen with a proven ability to conduct research on a variety of topics, analyze financial and non-financial information and synthesize information into clear and concise analysis and recommendations.
                                                                • +
                                                                • Self-starter with an ability to deal in ambiguous situations and identify logical and feasible approaches to achieve objectives.
                                                                • +
                                                                • Strong communication and presentation skills (verbal and written).
                                                                • +
                                                                • Demonstrates strong time management and organizational skills with an ability to prioritize and manage multiple initiatives within a fast-paced and unstructured environment.
                                                                • +
                                                                • Strong attention to detail and produces high-quality deliverables.
                                                                • +
                                                                • Contributes to a positive teamwork environment that promotes collaboration, quality, innovation, and customer-focused strategic thinking.
                                                                • +

                                                                +

                                                                Additional Information

                                                                +
                                                                  +
                                                                • Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.
                                                                • +
                                                                • This position is a 4-month work term and will commence May 1st – August 25th 2023.
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10449?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-30T21:33:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/204324011-specialist-data-design-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -e02d20da-9633-48b5-9993-68e0d42eb332,312135967,Loblaw Companies Ltd,"Senior Analyst, Credit, Enterprise Risk Management - 18 Month Contract",on_site,"Ontario, Canada",2024-03-14T06:28:01.556Z,"
                                                                -

                                                                Referred applicants should not apply directly to this role.

                                                                -

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                -

                                                                -

                                                                -

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                -

                                                                When you hire great people, great things can happen.

                                                                -

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                -

                                                                -

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                -

                                                                -

                                                                Reporting to the Manager - Credit, Enterprise Risk Management, the Senior Analyst will be responsible for supporting the execution of key reporting, validations, and other high-visibility risk related deliverables across our portfolio. The company is looking for a curious and self-driven individual possessing the right critical thinking, analytics, data visualization, and interpersonal skills to proactively tap into existing processes for the second line of defense and seek new opportunities to improve the existing systems.

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                What You\'ll Do:

                                                                -
                                                                  -
                                                                • Analyze data and prepare dashboards showcasing portfolio and industry trends.
                                                                • -
                                                                • Perform quality assurance to ensure adherence with the Bank’s credit risk policy and directives.
                                                                • -
                                                                • Provide support on strategic initiatives such as credit risk appetite and limit setting process, credit loss allowance assessment (i.e., IFRS9 model), and scorecard validation etc.
                                                                • -
                                                                • Ensure strong governance and effective controls through independent calculation and reconciliation of key risk metrics.
                                                                • -
                                                                • Use quantitative analysis to evaluate and monitor risk performance of credit risk strategy proposals, including but not limited to account acquisition and management.
                                                                • -
                                                                • Utilize reporting BI tools to support process automations and to improve efficiency.
                                                                • -
                                                                • Foster relationships with internal and external partners; collaborate with other business units to ensure that enterprise risk interests are addressed in business initiatives.
                                                                • -
                                                                • Ensure proper documentation is maintained for compliance and audit purposes.
                                                                • -
                                                                +

                                                                Start Date

                                                                +
                                                                – Summer

                                                                -

                                                                What You\'ll Need:

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-16T17:29:01.595Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/194552839-ecommerce-and-mobile-wallets-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17771415/ecommerce-and-mobile-wallets-intern-co-op-toronto-ca/,expired,2023-02-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +447413c0-f08c-4d41-8d37-3001af5234d9,194556479,Shopify Inc.,Senior Data Science Manager - Pricing/Promotions,on_site,"Ontario, Canada",2023-02-09T17:42:04.751Z,"

                                                                About the role

                                                                +

                                                                We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

                                                                +

                                                                You will:

                                                                  -
                                                                • University degree in a quantitative field, Economics, Business Administration, Statistics, Mathematics, Computer Science or equivalent.
                                                                • -
                                                                • 3+ years working in the retail financial industry, credit risk management, data analysis / financial modeling / data mining role.
                                                                • -
                                                                • Fluent in Python and SQL. Familiarity with Cloud environment is a plus.
                                                                • -
                                                                • Intermediate understanding of credit risk management concepts and knowledge of credit scoring & risk assessment.
                                                                • -
                                                                • Self-starter with ability to work under pressure and tight timelines.
                                                                • -
                                                                • Strong interpersonal skills to work with multiple stakeholders and garner consensus.
                                                                • -
                                                                • Proficient in statistical analysis with knowledge of tools such as SAS.
                                                                • -
                                                                • Knowledge of life cycle risk systems such as TRIAD and TSYS is a plus.
                                                                • -
                                                                • High degree of proficiency in MS Office Applications including Excel, PowerBI, PowerPoint and VBA.
                                                                • +
                                                                • Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.
                                                                • +
                                                                • Lead pricing and incentive experimentation work.
                                                                • +
                                                                • Define and guide the short-term and long-term data strategy for the money service line.
                                                                • +
                                                                • Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.
                                                                • +
                                                                • Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc).
                                                                • +
                                                                • Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.
                                                                • +
                                                                • Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment.
                                                                • +
                                                                • Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.

                                                                -

                                                                -

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                -

                                                                Number of Openings:

                                                                0

                                                                -

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                -

                                                                -

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                -

                                                                -

                                                                -

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Analyst--Credit--Enterprise-Risk-Management---18-Month-Contract_R2000445366?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-04-08T06:33:01.555Z,False,0,3,73,https://talenthub.vectorinstitute.ai/jobs/312135967-senior-analyst-credit-enterprise-risk-management-18-month-contract-at-loblaw-companies-ltd,,expired,2024-03-14T06:28:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -421fb795-52a1-4ce0-9ca8-51fec2c70963,316217245,BMO Financial Group,"Manager, Customer Insights & Reporting",on_site,"Ontario, Canada",2024-04-04T06:25:01.528Z,"
                                                                -

                                                                Application Deadline:

                                                                05/09/2024

                                                                -

                                                                -

                                                                Address:

                                                                33 Dundas Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                The Manager, Customer Insights and Reporting is responsible for the development, production, and ownership of customer metrics and reporting across Personal banking.

                                                                -

                                                                -

                                                                The individual will have an end-to-end project accountability. Beginning with understanding the business KPIs, they will leverage expertise in process design to determine an efficient and optimal process for delivering reporting results. Development will include structuring the data flow and setting up automation. Ownership will continue post-implementation and include investigations, improvements, and partner relations.

                                                                +

                                                                Qualifications

                                                                -

                                                                Key Accountabilities

                                                                -

                                                                Analytic Capabilities & Critical Thinking

                                                                +

                                                                You have:

                                                                  -
                                                                • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                                • -
                                                                • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                                • -
                                                                • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                                • -
                                                                • Be a practitioner of data best practices including QA, stable design, code optimization, and automation techniques.
                                                                • -
                                                                • Design and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.
                                                                • +
                                                                • Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
                                                                • +
                                                                • Experience in driving customer growth through pricing optimization and experimentation.
                                                                -

                                                                -

                                                                Design and Delivery of Performance Reporting and Dashboards

                                                                  -
                                                                • Responsible for performance measurement reporting and visualization that monitors overall and incremental impact of customer growth in quantity and quality.
                                                                • -
                                                                • Lead the definition, creation and maintenance of standardized dashboards and performance reporting for Customer Insights and business partners.
                                                                • -
                                                                • Refine design proposals in collaboration with various stakeholders in Personal banking.
                                                                • -
                                                                • Apply thoughtful consideration to the best way to present complex materials in a consumable way.
                                                                • -
                                                                • Create new analyses and/or tools that deliver customer insights that enable business users to further their objectives.
                                                                • +
                                                                • Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
                                                                • +
                                                                • Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
                                                                • +
                                                                • Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
                                                                • +
                                                                • A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.

                                                                -

                                                                Leadership and Relationship Management

                                                                +

                                                                It would be great if you have experience with:

                                                                  -
                                                                • Work collaboratively with other analytics teams and business subject matter experts to refine personal understanding and ensure consistency in reporting and design.
                                                                • -
                                                                • Establish and communicate standards for accurate business requirement, technical specification and work process documentation associated with our metrics and reporting.
                                                                • -
                                                                • Engage with business partners to ensure needs are met, update on delivery status, and provide transparency and clarity to results.
                                                                • -
                                                                • Leverage consultative skills and knowledge of best-practices to provide guidance and consultative sessions with partners to share insights and recommendations rooted in data. Use these sessions to flag potential areas for deeper investigation, growth, or prioritization.
                                                                • -
                                                                • Consult with and deliver results to partners within tight time constraints that consistently meet or exceed their expectations.
                                                                • +
                                                                • Cloud platforms: Google Cloud Platform (GCP), AWS
                                                                • +
                                                                • +Large-scale data-platform tools:
                                                                    +
                                                                  • Data Storage and Access: HDFS, Presto
                                                                  • +
                                                                  • Data processing/integration: Kafka, Spark
                                                                  • +
                                                                  • Analytics Datastores: AWS Redshift, GCP BigQuery
                                                                  • +
                                                                  • Visualization: D3, Mode Analytics, Tableau
                                                                  • +
                                                                  • Programming languages: Python, Scala
                                                                  • +
                                                                  • SQL and debugging SQL queries
                                                                  • +
                                                                  +
                                                                • +
                                                                • +Analytical techniques:
                                                                    +
                                                                  • Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
                                                                  • +
                                                                  • Experimentation: A/B test design and analysis, quasi-experiments
                                                                  • +
                                                                  • Attribution-modeling
                                                                  • +
                                                                  • Forecasting
                                                                  • +
                                                                  +
                                                                • +
                                                                +

                                                                All your information will be kept confidential according to EEO guidelines.

                                                                +

                                                                We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

                                                                +
                                                                ",,https://www.shopify.com/ca/careers/senior-data-science-manager-pricing-promotions-remote-americas_af250450-f70d-440a-83f3-57d22b3ccd75,feed-importer@jobboard.io,,,,2023-02-16T17:47:04.401Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/194556479-senior-data-science-manager-pricing-promotions-at-shopify-inc,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +2c6f00f7-18c3-44d8-99c0-7428eec8f8b7,191127454,Scotiabank,"Senior Analyst, Data and Analytics, Business Controls and Risk Management",on_site,Canada : Ontario : Toronto,2023-01-30T17:22:02.231Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 171519

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                Contributes to the overall success of the Data Governance and Analytics team within Risk Management and Business Controls / Global Wealth Management in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                The incumbent is responsible for the design, execution, and maintenance of reporting and analytics initiatives to meet business objectives with a primary focus mutual funds. The incumbent takes effective ownership of requests from stakeholders and ensures results generate value-added actionable insights pertaining to customer behavior, channel performance, sales productivity, and key compliance/regulatory, financial, and operational risk indicators.

                                                                +

                                                                Accountabilities

                                                                +
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Acts as a subject matter expert for client, transactional, and product data for assigned domains; and proactively identifies opportunities to improve reporting and/or drive the use of analytics.
                                                                • +Develops, executes, and maintains reporting dashboards
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver reporting needs.
                                                                  • Designs and maintains performance metrics for key financial, operational, and risk measures
                                                                  • Utilizes business intelligence and visualization tools to distribute reports and dashboards.
                                                                  • Maintains periodic Management and subsidiary Board reporting.
                                                                • +Leads analytics projects to identify insights to achieve business objectives and manage risks.
                                                                  • Source, cleanse, transform, and interpret the data needed to deliver analytics projects.
                                                                  • Use statistical and data mining techniques to identify insights and make recommendations
                                                                  • Assists stakeholders in identifying and developing analytics solutions to meet business objectives.
                                                                  • Prepare and present findings to senior management.
                                                                • Builds effective working relationships within the team and with key business units and corporate functions including Compliance, Finance, IT&S, Enterprise Data Office, etc.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                                                                +

                                                                +

                                                                Experience and Education

                                                                +
                                                                • Data mining skills in Python, Spark, HIVE/Hadoop and other tools (must have skills)
                                                                • Experience with building PowerBI dashboards (must have skills)
                                                                • Excellent analytical and problem-solving skills to synthesis and summarize large data sets gathered from multiple sources.
                                                                • Strong communication skills (verbal and written) to present results to senior management.
                                                                • Knowledge of the mutual fund business, distribution channels, and regulatory framework is an asset.
                                                                • Required – University degree in Business Analytics, Statistics, Mathematics, Computer Science, or a related discipline.
                                                                • High attention to detail to ensure data and reporting are accurate, complete, and meets stakeholder needs.
                                                                • Requires strong collaboration with key stakeholders across SSI (includes Canadian Banking partners), Asset Management, Compliance, Finance, Data Office, and IT&S.
                                                                • Ability to work in a cross-functional team environment and build a network of relationships across the asset management business will be critical to the success of this job.
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-13T17:27:03.430Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/191127454-senior-analyst-data-and-analytics-business-controls-and-risk-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-and-Analytics%2C-Business-Controls-and-Risk-Management-ON-M5C2V9/567243917/,expired,2023-01-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +897350c3-94aa-47df-a116-3a77eb0a0240,191127597,TD Bank Group,Senior Quantitative Analytics Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.768Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                -

                                                                Risk Management

                                                                -
                                                                • Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements
                                                                +

                                                                Department Overview

                                                                +
                                                                Credit Risk Model Group (CRMG) provides subject matter expertise and creates a broad range of quantitative and qualitative models to support business and risk decisions.

                                                                -

                                                                Cross Functional Relationships

                                                                -

                                                                This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders:

                                                                -
                                                                • Managers and Senior Managers of Line of Business including:
                                                                    -
                                                                  • Analytics Centre of Excellence and all associated teams within
                                                                  • -
                                                                  • Canadian P & C Product groups
                                                                  • -
                                                                  • Customer Marketing
                                                                  • -
                                                                  • NA Channels
                                                                  • -
                                                                  • Technology and Operations
                                                                  • -
                                                                  • P&C Distribution - Sales & Service Divisions and North American Contact Centres
                                                                  • +

                                                                    Job Description

                                                                    +
                                                                      +
                                                                    • Participate in the development, tuning, and model documentation for new or amended Borrower Risk Rating (BRR), Facility Risk Rating (FRR), and Expected Loss (EL) models
                                                                    • +
                                                                    • Engage with working groups of subject matter experts to ensure that all credit risk models are current and take into account best industry practices and standards
                                                                    • +
                                                                    • Review and understand risk rating methodologies of public rating agencies (Moody’s, S&P, Fitch, DBRS) and identify potential gaps with internal models
                                                                    • +
                                                                    • Review and complete robust documentation for all models, ensuring it is up to Model Validation and Model Risk Management standards. Reports include Model Development Reports, Annual Review Templates, and others as needed
                                                                    • +
                                                                    • To participate in updating the Risk Analyst Peer Group database to facilitate comparative analysis on a quarterly basis
                                                                    • +
                                                                    • To maintain the integrity of client information in the BRR and FRR databases, and to ensure that corporate compliance requirements related to client information are maintained on an ongoing basis
                                                                    • +
                                                                    • To work closely with Credit Risk Policy in the launch of new initiatives or reviews, and to work extensively with TDBNA to ensure enterprise wide models are consistent cross-border
                                                                    • +
                                                                    • To participate in extensive testing with Corporate Segment Technology Solutions (CSTS) to ensure that models meet design specifications and are operating as expected
                                                                    • +
                                                                    • Create and manipulate extensive data spreadsheets for the purpose of model tuning, stress and sensitivity testing, and other model development purposes
                                                                    • +
                                                                    • To maintain quarterly reporting to the Executive Steering Committee, including the Model Review Calendar, and One-Time Requirement tracking list
                                                                    • +
                                                                    • Ensure that all model One-Time Requirements are closed by MVM on time
                                                                    • +
                                                                    • To participate in data mining and data cleansing as required for model validations
                                                                    • +
                                                                    • To participate in the model validation process as required, including providing documentation, expertise, and data for MVM
                                                                    • +
                                                                    • To complete ad hoc analysis in a timely manner as requested
                                                                    • +
                                                                    +

                                                                    +

                                                                    Requirements

                                                                    +
                                                                    The successful candidate is expected to have:

                                                                    +
                                                                      +
                                                                    • A university degree in Finance, Statistics, or a related discipline. A relevant professional designation (MBA, FRM, CFA) will be considered a plus
                                                                    • +
                                                                    • Strong working knowledge and 3+ years extensive hands-on experience using MS Excel, MS Access, Python, R Language and or SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling
                                                                    • +
                                                                    • Proficiency and extensive experience in creating and manipulating large data sets for data mining and statistical modelling from various internal and external source systems
                                                                    • +
                                                                    • 3+ years of progressive work experience in a commercial/corporate banking function
                                                                    • +
                                                                    • Working knowledge of Commercial Banking and TD Securities credit products, policies, and practices
                                                                    • +
                                                                    • Working knowledge of concepts and methodologies, such as non-retail credit risk scoring techniques, used in the assessment of credit risk
                                                                    • +
                                                                    • Working knowledge of Basel parameters (PD, LGD, EAD)
                                                                    • +
                                                                    • Strong problem solving skills, ability to independently identify and solve problems in an effective and timely manner
                                                                    • +
                                                                    • Strong communication skills (both written and oral), ability to effectively present technical, business, and project management subjects to multiple stakeholders
                                                                    -
                                                                  +

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Knowledge & Skills

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                Knowledge

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/191127597-senior-quantitative-analytics-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17693793/senior-quantitative-analytics-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +47e63215-fab6-4fa6-a39e-e8adf18c5ea8,189569817,TD Bank Group,Data Analyst Associate,on_site,"Toronto, ON",2023-01-23T17:24:03.318Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                                                +

                                                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                                                                +

                                                                Job responsibilities for a Data Analyst Associate may vary by area. This may include, but is not limited to the following:

                                                                  -
                                                                • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                                • -
                                                                • 3+ years of applicable experience.
                                                                • -
                                                                • Strong foundation in data and analysis.
                                                                • -
                                                                • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                                • -
                                                                • Strong analytic and pattern recognition to connect causal factors and form hypotheses.
                                                                • +
                                                                • Work with business and technology partners to define, develop and document detailed business, data and system requirements.

                                                                • +
                                                                • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

                                                                • +
                                                                • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.

                                                                • +
                                                                • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.

                                                                • +
                                                                • Based on data analysis, provide recommendations for data remediation, improvements.

                                                                • +
                                                                • Participate in program/ system research, analysis, detailed design and problem resolution.

                                                                • +
                                                                • Respond to user enquiries on data platform, in a timely manner.

                                                                • +
                                                                • Troubleshoot and determine root cause and resolution for application defects.

                                                                • +
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

                                                                • +
                                                                • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

                                                                • +
                                                                • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.

                                                                • +
                                                                • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

                                                                • +
                                                                • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.

                                                                +

                                                                -

                                                                Skills

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Must be graduated, or graduating between May 2022 and September 2023, in Computer science, Engineering, Computing, or equivalent
                                                                • +
                                                                • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.
                                                                • +
                                                                • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.
                                                                • +
                                                                • Familiarity with Jira and Confluence.
                                                                • +
                                                                • Proficient with Excel, Visio, SQL, some reporting and analytical tools.
                                                                • +
                                                                • Understands Data Modeling concepts.
                                                                • +
                                                                • Able to manage multiple priorities and work independently, as well as part of a team.
                                                                • +
                                                                • Experience with technology project delivery and agile delivery methodology would be an asset.
                                                                • +
                                                                • Some prior experience with creating visualization such as Process and Data Flows.
                                                                • +
                                                                • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.
                                                                • +
                                                                • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.
                                                                • +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                  -
                                                                • Expert proficiency in SQL, Excel, PPT.
                                                                • -
                                                                • Proficiency in SAS EG coding.
                                                                • -
                                                                • Strong communication skills (verbal & written); ability to provide concise, clear reporting, actionable analysis and presentations.
                                                                • -
                                                                • Ability to interact with all levels of end users and technical resources.
                                                                • -
                                                                • Experience in data visualization preferred, including visualization software such as Power BI, Microsoft Reporting Services, Spotfire or Tableau.
                                                                • -
                                                                • Creative problem-solving skills
                                                                • -
                                                                • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                                • -
                                                                • Self-motivation and the capacity to work under pressure and tight deadlines.
                                                                • -
                                                                • Proven ability to self-check work to ensure results are error-free
                                                                • -
                                                                • Ability to plan, organize and work on multiple tasks simultaneously
                                                                • -
                                                                • Technical experience working in analytical software, and business software (Excel, PowerPoint, Word)
                                                                • +
                                                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis

                                                                • +
                                                                • Applications must include a resume (maximum of 2 pages).

                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                                                                +

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                +

                                                                -
                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                Compensation and Benefits:

                                                                -
                                                                $68,000.00 - $126,000.00

                                                                -

                                                                Pay Type:

                                                                Salaried

                                                                -

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                +

                                                                Start Date

                                                                +
                                                                – Fall, – Spring, – Summer, – Winter

                                                                -

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-13T17:29:02.884Z,False,0,21,50,https://talenthub.vectorinstitute.ai/jobs/189569817-data-analyst-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645127/data-analyst-associate-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +1289f1fa-24b3-4a93-9963-95f08fed3c94,188133207,Google,"Technical Solutions Developer, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-18T17:20:02.892Z,"
                                                                +
                                                                +2023-01-11T20:30:56.349Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Technical Solutions Developer, Google Cloud

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Waterloo, ON, Canada +
                                                                • +
                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Bachelor\'s degree in Science, Technology, Engineering, Math, or equivalent practical experience.
                                                                  +
                                                                • +
                                                                • 5 years of experience reading or debugging code in one or more of the following: Java, C, C++, Python, Shell, Perl, JavaScript.
                                                                  +
                                                                • +
                                                                • 5 years of experience with databases, data warehousing, information retrieval, or SQL.
                                                                  +
                                                                • +
                                                                • Experience troubleshooting and advocating for customer needs.
                                                                  +
                                                                • +
                                                                +

                                                                Preferred qualifications:

                                                                +
                                                                  +
                                                                • Experience with distributed, columnar, analytic oriented databases, or distributed data processing frameworks.
                                                                  +
                                                                • +
                                                                • Experience with machine learning technologies, including developing, training models, or implementing solutions.
                                                                  +
                                                                • +
                                                                • Experience with open source distributed storage and processing utilities in Apache Hadoop or workflow orchestration products (e.g., Apache Airflow).
                                                                  +
                                                                • +
                                                                • Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science, or other Big Data applications.
                                                                  +
                                                                • +
                                                                • Understanding of basic web technologies, Transmission Control Protocol (TCP), Integration Platform (IP) concepts, Unix, or Linux basic administration and commands.
                                                                  +
                                                                • +
                                                                • Excellent attention to detail, troubleshooting, and communication skills.
                                                                  +
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

                                                                +

                                                                Technical Solutions Developers own customer issues and provide support to other support teams. You will be a part of a Global team that provides support to help customers seamlessly switch to Google Cloud. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed coding or scripting.

                                                                +

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Manage the customers problem through effective diagnosis, resolution, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
                                                                • +
                                                                • Develop an understanding of Google product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
                                                                • +
                                                                • Act as a consultant and subject matter expert for internal stakeholders in developing, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
                                                                • +
                                                                • Work as part of a team of Developers or Consultants that globally ensure 24-hour customer support.
                                                                • +
                                                                • Understand customer issues and advocate for their needs with cross-functional teams (e.g., product, developing) to find ways to improve the product and lead high-quality production.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/120026313214829254-technical-solutions-developer-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-18T19:19:03.920Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/188133207-technical-solutions-developer-google-cloud-at-google,,expired,2023-01-18T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +8af81014-3dda-41b2-9b07-e9b3d950d1c7,197097452,BMO Financial Group,"Analyst, Customer Insights & Reporting, Summer 2023 (Co-op/Internship) 4 - Months",on_site,"Ontario, Canada",2023-02-16T17:12:02.976Z,"
                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Customer-Insights---Reporting_R240008647?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-04-08T06:31:02.455Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/316217245-manager-customer-insights-reporting-at-bmo-financial-group,,expired,2024-04-04T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bef093f8-2c91-48e8-9d78-24d89715189e,314969540,Scotiabank,"Director - Onboarding Systems, Reporting & Analytics (12 month contract)",on_site,Canada : Ontario : Toronto,2024-03-28T16:26:03.429Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 195942

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Global Banking and Markets

                                                                -

                                                                Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.

                                                                -

                                                                Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                                -

                                                                Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

                                                                -

                                                                -

                                                                What You’ll Do

                                                                -

                                                                -
                                                                • Establish a team which is responsible for the systems ownership of Fenergo, GBM’s client onboarding system, from a business perspective. Includes the development of a long-term vision for Fenergo and associated tools, vendor relationship management and product development, “business as usual” maintenance and 1st line support functions after system upgrades, audit support, regular reviews of user access controls.
                                                                • Responsible for proactively ensuring onboarding systems (Fenergo and others as required) remain in line with regulatory expectations, in particular adequate recordkeeping, and data quality. In the long term, the team will also look to develop Fenergo and other technology solutions to promote efficiency of onboarding processing times and client experience.
                                                                • Assess the need for and progressive establishment of core data governance controls within GBM Onboarding
                                                                • Lead the GBM Onboarding Reporting & Analytics function, in particular working closely with the GBM Onboarding team and other stakeholders to understand key business, AML/KYC and regulatory objectives and identify analytics that will provide insight/transparency, enable decision making, and support key regulatory initiatives.
                                                                • Codify best practices and identify opportunity to enhance reporting processes to drive effective and efficient reporting implementation. Develops appropriate tools, engages with technology to champion onboarding metrics and reporting related automation.
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursue effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                • -Champion a high-performance environment and contributes to an inclusive work environment.
                                                                • -
                                                                -

                                                                What You’ll Bring

                                                                -
                                                                • At least ten years of financial services experience. Preference will be given to direct experience dealing with systems that have regulatory compliance implications and prior experience managing large technology vendor relationships.
                                                                • An in depth understanding of capital market operations and trade lifecycle expertise and working familiarity with the corporate and investment banking business.
                                                                • A working understanding of AML/KYC regulatory standards and processes in GBM jurisdictions
                                                                • Sound judgment in identifying risks to proactively escalate with relevant senior management.
                                                                • -Professionalism, sensitivity, and discretion required, including stringent confidentiality requirements.
                                                                • -
                                                                -

                                                                Work Arrangement: This position is currently a Hybrid role. Please note that this is subject to change based on the needs of the business.

                                                                -

                                                                Interested?

                                                                -

                                                                At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.

                                                                -

                                                                What's in it for you?

                                                                -

                                                                Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Director-Onboarding-Systems%2C-Reporting-&-Analytics-%2812-month-contract%29-ON-M5H1J9/579450717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-08T16:33:03.316Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/314969540-director-onboarding-systems-reporting-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director-Onboarding-Systems%2C-Reporting-&-Analytics-%2812-month-contract%29-ON-M5H1J9/579450717/,expired,2024-03-28T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -2c7f489f-23f8-4f7f-8dcb-8e7ba792a77f,316336440,Roche,Data Management & Governance Analyst/ Specialist,on_site,"Mississauga, ON, Canada",2024-04-04T18:14:51.971Z,"

                                                                Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                +
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                +

                                                                -

                                                                The Position

                                                                -

                                                                The Position:

                                                                -

                                                                And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

                                                                -

                                                                Are you excited about Data? Do you believe that data can make the organization become more successful and efficient in achieving its goals? Do you want to take charge and drive new and exciting data related initiatives and adoption of new concepts such as Data Mesh? Then your place is with us!

                                                                -

                                                                We are the Data & Analytics Chapter, part of Integrated Informatics at Roche. We build excellence and mastery in next generation data and analytics capabilities, including but not limited to Data Science, Data Engineering, Analytics and Data Management & Governance. We release value from data - all the way from Discovery to Insights.

                                                                -

                                                                In addition to partnering with teams across the business to develop solutions, scale and automate data pipelines, Data & Analytics Chapter members are uniquely placed to connect the dots across initiatives, promote information sharing across domains and recommend re-use of data, analytics and solutions wherever possible.

                                                                -

                                                                We are looking for a Data Management & Governance specialist who will join us in the newly setup Integrated Informatics for a journey to drive and promote efficient and effective information management throughout the organization.

                                                                -

                                                                The Data Management & Governance specialist must be the big-picture thinker who understands the value of data to the organization and the importance of good information management practices including information lifecycle management, information modelling, master data management and business requirements gathering.

                                                                -

                                                                In this position you are responsible for improving business performance and cost optimization through the use of business glossaries, information models, repositories and flows to meet the requirements of the business strategies and business processes.

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                The Opportunity:

                                                                -

                                                                You will work on various aspects of Data management and governance including but not limited to:

                                                                -
                                                                  -
                                                                • Assisting in identifying information value opportunities through strategic discussions with Senior Business and IT Leaders as needed and provides decision support
                                                                • -
                                                                • Working with the Informatics team define Information and Data Strategies as part of an overall Business Strategy.
                                                                • -
                                                                • Assisting in identifying areas for improvement in terms of information flows and structure, automation, information representation and advising project teams in best practice and implementation
                                                                • -
                                                                • Improving the overall quality of the enterprise data assets through the effective application of best practice in information design
                                                                • -
                                                                • Backlog Management: Priorities and maintain the product backlog, making continuous adjustments to reflect changing priorities and market dynamics.
                                                                • -
                                                                • Transform requirements into detailed user stories, acceptance criteria, and mockups that guide the development process.
                                                                • -
                                                                • Following up on the resolution of Incidents (e.g. maintaining the customer informed).
                                                                • -
                                                                -


                                                                Who you are:

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                +

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                +

                                                                +

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                +
                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • 3-5 years of data strategy and data governance, preferably in a consulting environment with a min Bachelor’s Degree
                                                                • -
                                                                • Is principally focused on enterprise information solutions, such as master data management, metadata management, business intelligence, data interoperability, data analysis, data quality, data integration.
                                                                • -
                                                                • Understands Data Mesh paradigm
                                                                • -
                                                                • Exhibits an Agile mindset
                                                                • -
                                                                • Understands database structures and their relationships, as well as data models and data standards.
                                                                • -
                                                                • Ability to create advanced SQL queries.
                                                                • -
                                                                • Ability to work with REST APIs through tools such as Postman.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                This position is not open for relocation support.

                                                                -

                                                                -

                                                                Who we are

                                                                -

                                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                -

                                                                -

                                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Roche is an Equal Opportunity Employer.

                                                                -

                                                                Explore Location

                                                                ",,https://careers.roche.com/global/en/job/202404-108044/Data-Management-Governance-Analyst-Specialist,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-04-09T18:06:00.000Z,False,0,2,40,https://talenthub.vectorinstitute.ai/jobs/316336440-data-management-governance-analyst-specialist-at-roche,,expired,2024-04-04T18:14:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -a40099d2-417b-425a-b3d2-cd45e8c198cb,314922611,CIBC,"Manager, Analytics & Automation",on_site,"Ontario, Canada",2024-03-28T06:24:02.045Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Insights---Reporting--Summer-2023--Co-op-Internship--4---Months_R220031435-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/197097452-analyst-customer-insights-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-02-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +32daba03-986d-450c-8e0c-65b13584bb6f,196077755,Scotiabank,Manager - Fraud Analytics,on_site,Canada : Ontario : North York,2023-02-13T17:22:02.569Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 173436

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                +

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                +

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                +

                                                                +

                                                                Accountabilities

                                                                +

                                                                +
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Education / Experience

                                                                +

                                                                +
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : North York

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-20T17:27:02.981Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/196077755-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager-Fraud-Analytics-ON-M3C0N5/567661417/,expired,2023-02-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a8599da7-e9a6-4434-89f2-73e39078d2d3,194550476,BMO Financial Group,Junior Analyst - Summer 2023 (Co-op/Intern) - 4 Months,on_site,"Ontario, Canada",2023-02-09T17:12:02.960Z,"
                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +
                                                                +
                                                                +
                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                What you’ll be doing

                                                                -


                                                                Reporting to Director, Analytics & Automation you will be a contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Manager will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You will have the flexibility to manage your work activities within a hybrid work arrangement where you will spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                -

                                                                How you’ll succeed

                                                                +

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                +
                                                                +
                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.

                                                                • -
                                                                • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.

                                                                • -
                                                                • Work closely with Internal Auditors and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.

                                                                • -
                                                                • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.

                                                                • -
                                                                • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.

                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • As a co-op/intern student at BMO, our focus would be on your potential for learning, and your desire to contribute to the team in any way you can. Your attitude and commitment are more important than past knowledge and experience.

                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                -

                                                                Who you are

                                                                -
                                                                  -
                                                                • You have a degree (preferably at the graduate level) in Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background. Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.

                                                                • -
                                                                • You can demonstrate knowledge of data analysis tools, languages, and methodologies (SAS, Power BI, Python, Cloud Computing). It is an asset if you have knowledge of CIBC data sources, applications and system platforms. Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • -
                                                                • You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best. Creative skills sufficient to adapt to new technologies and analytical methodologies and select the most suitable approach while satisfying audit operating guidelines.

                                                                • -
                                                                • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

                                                                • -
                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                What CIBC Offers

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Junior-Analyst---Summer-2023--Co-op-Intern----4-Months_R230002649?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-20T17:17:04.468Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/194550476-junior-analyst-summer-2023-co-op-intern-4-months-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +50762f5c-9196-4b67-ad07-7625aa5ee7d8,214825251,Scotiabank,Senior Data Engineer - 8 Month Contract - CID&A,on_site,Canada : Ontario : Toronto,2023-04-13T17:22:02.754Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 174905

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose:

                                                                +

                                                                +

                                                                The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                                                +

                                                                We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                                                +


                                                                Accountabilities:

                                                                +


                                                                • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                                                • Partner with advanced analytics teams to build powerful data assets and processes
                                                                • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                                                • Build automated data management and data quality capabilities into projects
                                                                • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                                                • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                                                • Experiment & learn!

                                                                +


                                                                Qualifications:

                                                                +


                                                                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                                                • Experience in finance is an asset
                                                                • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                                                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                                                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                                                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                                                • Experience with visualization tools an asset: Power BI/Tableau
                                                                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                                                • High aptitude for diving in and picking up new technologies as required
                                                                • Eligible to work in Canada

                                                                +

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-17T17:27:04.728Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/214825251-senior-data-engineer-8-month-contract-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-8-Month-Contract-CID&A-ON-M5C2V9/568231417/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d80fa043-ac92-4389-acba-1aabe61b5321,212880719,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-04-06T17:24:03.806Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
                                                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
                                                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                                                +

                                                                As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                                                • +
                                                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                                                • +
                                                                • Design and deliver enterprise analytic solutions for customers
                                                                • +
                                                                • Develop powerful business insights from segmentation, risk, and performance data
                                                                • +
                                                                • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                                                                • +
                                                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                                                • +
                                                                • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                • +
                                                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                                                • +
                                                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                +

                                                                -

                                                                *Subject to plan and program terms and conditions

                                                                -

                                                                -

                                                                What you need to know

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD?

                                                                +

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                                                • +
                                                                • Up to 7 years’ experience of working in analytical environments
                                                                • +
                                                                • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                                                                • +
                                                                • Expertise in analytical tools such as SAS
                                                                • +
                                                                • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                                                • +
                                                                • Experience with Git
                                                                • +
                                                                • Experience with relational databases and usage of SQL
                                                                • +
                                                                • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                                                • +
                                                                • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                                                • +
                                                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                                                • +
                                                                • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #datascientist

                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-17T22:12:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/212880719-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +9214a514-068a-4aae-8c8c-854a47a024df,207767102,OMERS,Business Intelligence Specialist 6-month Contract,on_site,"Ontario, Canada",2023-03-23T17:42:03.813Z,"
                                                                +

                                                                Why join us?

                                                                +

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                -

                                                                Job Location

                                                                Toronto-81 Bay, 34th Floor

                                                                -

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                -

                                                                Skills

                                                                Analytical Thinking, Auditing, Automation Technology, Data Analysis, Innovation, Interpersonal Communication, Microsoft Power BI, Python (Programming Language), Reporting and Analysis, Statistical Analysis Software (SAS), Structured Query Language (SQL)
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Manager--Analytics---Automation_2407430?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-11T21:56:00.000Z,False,0,3,59,https://talenthub.vectorinstitute.ai/jobs/314922611-manager-analytics-automation-at-cibc,,expired,2024-03-28T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b5bfe8d2-9a4b-4fb2-8aec-2b1fd2551ea2,316500501,Shopify Inc.,"Staff (Lead) Product Data Scientist, Multiple Roles",full,Canada,2024-04-05T20:24:37.313Z,"

                                                                About Shopify

                                                                -

                                                                Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                -

                                                                This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                -

                                                                -

                                                                About you

                                                                -

                                                                Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                -

                                                                Before you apply, consider if you can:

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                As a key member of the Enterprise Data and Advanced Analytics team, the role of BI Specialist is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end to end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.
                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                  -
                                                                • Care deeply about what you do and about making commerce better for everyone
                                                                • -
                                                                • Excel by seeking professional and personal hypergrowth
                                                                • -
                                                                • Keep up with an unrelenting pace (the week, not the quarter)
                                                                • -
                                                                • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                • -
                                                                • Bring critical thought and opinion
                                                                • -
                                                                • Embrace differences and disagreement to get shit done and move forward
                                                                • -
                                                                • Work digital-first for your daily work
                                                                • +
                                                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                                                • +
                                                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                                                • +
                                                                • Building professional growth by actively acquiring predictive modelling and programming skills
                                                                • +
                                                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                                                • +
                                                                • Facilitating workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                                                • +
                                                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates
                                                                • +
                                                                • Facilitating collaboration and promoting best practices of building BI and analytical solutions
                                                                • +
                                                                • Broadening the reach of Power BI through providing Dashboard in a Day and other Power Platform workshops at Enterprise level
                                                                • +
                                                                • Helping instill a product mindset in the team and presenting and communicating analytics centric solutions to stakeholders and the immediate team
                                                                • +
                                                                • Operating in an Agile development environment
                                                                • +
                                                                • Managing change and communicating impacts to stakeholders and fellow team members
                                                                • +
                                                                • Provisioning and resource management of Premium Capacity
                                                                • +
                                                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                                                • +
                                                                • Usage Monitoring and Auditing

                                                                -

                                                                About the role

                                                                -

                                                                About the role

                                                                -

                                                                As a Product Analytics professional, you'll be tasked with transforming raw data into actionable insights that will help guide the development and improvement of our products. This role isn't for the faint-hearted or those seeking a conventional corporate structure - we operate on the principles of low process, high trust, and high impact. It's all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

                                                                -

                                                                Our product is designed to empower entrepreneurs and stimulate personal growth. Consequently, the work you do will not only create value for our users but also contribute to global entrepreneurship. To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                                                                -

                                                                As a Staff Data Scientist, you will partner with Product, Engineering, UX, and other disciplines to lead through data and achieve product/business goals. Product Data Scientists are expected to:

                                                                -
                                                                  -
                                                                • Proactively identify and champion projects that solve complex problems across multiple domains and business areas.
                                                                • -
                                                                • Partner closely with product, engineering and other business leaders to influence high level strategy, product development, and program decisions with data
                                                                • -
                                                                • Holistically own general problems across product/business domains and drive the right outcomes for all of Shopify.
                                                                • -
                                                                • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products that are effective for their purpose and model excellence for the entire organization.
                                                                • -
                                                                • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to directly drive substantial improvements to our business
                                                                • -
                                                                • Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables or schemas that support business processes.
                                                                • -
                                                                • Influence leadership to drive more data-informed decisions and to nurture a culture of using data effectively company-wide.
                                                                • -
                                                                • Define and advance best practices within data science and product teams across Shopify.
                                                                • -
                                                                -

                                                                There are many different teams looking for Product Data Scientists to partner with and help drive value for our merchants. These include:

                                                                -

                                                                Buyer Trust/Shop Promise Data Science

                                                                Our Shop Promise product helps merchants build trust with buyers by guaranteeing fast and reliable deliveries, setting clear delivery date expectations and coaching merchants to improve delivery habits. This is a strategic priority for Shopify to improve merchant success and buyer experiences. Our data science team owns the machine learning data products that powers Shop Promise and is responsible for partnering with product, engineering and UX teams to develop product strategy and roadmap to maximize the impact of Shop Promise.

                                                                -

                                                                Checkout & Storefront

                                                                -

                                                                The Core Product Data Science team combines leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants. Data Scientists turn data into actionable insights through a number of analytical methods, such as A/B tests, In-depth studies, advanced modeling, data visualizations, etc. to shape and support our product development strategies.

                                                                -

                                                                Commercial/Revenue Analytics

                                                                -

                                                                The Commercial/Revenue Analytics team provides data insights to help our revenue leadership team with understanding business performance through data, support key business decisions, and advise on business operational improvement opportunities. As a Staff Product Data Scientist, you’ll help advance the data maturity of the team to move from descriptive analytics into predictive/prescriptive analytics so we can leverage data to strengthen performance and effectiveness across pre-sales, to sales, and post-sales.

                                                                -

                                                                Revenue Marketing Data Science

                                                                -

                                                                The Revenue Marketing Data Science team at Shopify blends advanced marketing expertise with rigorous analytical methodologies to optimize our revenue strategies. As a Staff Product Data Scientist, you'll transform vast marketing data into actionable insights, employing techniques from performance marketing to brand measurement, ABM, and multi-touch attribution. Your analyses – which may range from A/B tests to in-depth studies – will be instrumental in refining and guiding our revenue marketing efforts.

                                                                -

                                                                Support Data Science

                                                                -

                                                                The Support Data Science team builds data products to continuously enable the monitoring and improvement of Shopify’s customer service, knowledge management, merchant satisfaction and retention using cutting edge analytical and AI-powered methodologies such as causal inference, predictive analytics, prescriptive analytics, etc. Additionally, this team is responsible for synthesizing the voice of customers (Shopify merchants) from all merchant interactions and providing critical feedback for Shopify’s product improvements. Support Data Scientists play a crucial role in ensuring our merchants are successful on the shopify platform, adopt our new products and are growing their GMV which consequently leads to higher revenue for Shopify.

                                                                -


                                                                -

                                                                Qualifications

                                                                +

                                                                To succeed in this role, you have:

                                                                +

                                                                  -
                                                                • Extensive experience in technical leadership and mentoring of junior data scientists
                                                                • -
                                                                • Proven track record of successfully leading and delivering complex, scalable data projects
                                                                • -
                                                                • End-to-end experience of deploying data products at scale
                                                                • -
                                                                • Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
                                                                • -
                                                                • Extensive experience in a data science role solving large-scale, high impact business problems
                                                                • -
                                                                • Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
                                                                • -
                                                                • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                • -
                                                                • Deep understanding of advanced SQL techniques and data modeling
                                                                • -
                                                                • Well versed with various Business Intelligence platforms and tools
                                                                • -
                                                                • Experience working with various levels of business stakeholders, from c-suite to Data Science senior leadership
                                                                • -
                                                                • Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
                                                                • -
                                                                • Experience creating data product strategies, building data products, and continued iteration after launch
                                                                • -
                                                                • Experience launching productionized machine learning models at scale is a plus
                                                                • -
                                                                • Extensive domain experience in e-commerce, sales & marketing or SaaS is a plus
                                                                • +
                                                                • Bachelor’s degree in information systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with two (2) + years of experience
                                                                • +
                                                                • Excellent data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                                                • +
                                                                • Experience and proficiency in SQL scripting and Azure is a must
                                                                • +
                                                                • Experience and proficiency with an additional programming language such as Python is an asset
                                                                • +
                                                                • Knowledge or experience of machine learning and data science is a plus
                                                                • +
                                                                • Depth of Power BI experience wrangling complex data using M functions and developing sophisticated semantic logic using DAX expressions will be thoroughly tested and is required
                                                                • +
                                                                • Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI
                                                                • +
                                                                • Ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and other community publications is required
                                                                • +
                                                                • Proven track record of building deep technical relationships. Experience in aligning expectations across various stakeholders
                                                                • +
                                                                • Able to trace data lineage and resolve technical issues with minimal supervision
                                                                • +
                                                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.

                                                                ",,https://www.shopify.com/careers/staff--lead--product-data-scientist--multiple-roles_e7e61104-90bf-449a-adcb-a446f15a2c35,aitalent@vectorinstitue.ai,https://www.shopify.ca/careers,,,2024-04-11T21:59:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/316500501-staff-lead-product-data-scientist-multiple-roles-at-shopify-inc,,expired,2024-04-05T20:24:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, -6a347d6a-25da-425a-b7e5-69c8cdd460ff,198986184,RBC,"Manager, Data Analytics",on_site,"Toronto, ON, Canada",2023-02-23T17:16:04.662Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Manager, Data Analytics

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the Opportunity?

                                                                -

                                                                -

                                                                The Data Analytics Manager will assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms.

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Business-Intelligence-Specialist-6-month-Contract_JR-4735-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/207767102-business-intelligence-specialist-6-month-contract-at-omers,,expired,2023-03-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +854cd811-4d6e-40bf-8eb6-a319b492c5a0,210223739,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2023-03-30T17:42:05.608Z,"

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.
                                                                • -
                                                                • Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s).
                                                                • -
                                                                • Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit.
                                                                • -
                                                                • Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions.
                                                                • -
                                                                • Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit.
                                                                • -
                                                                • Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.
                                                                • -
                                                                • Create and maintain foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
                                                                • -
                                                                • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
                                                                • -
                                                                • Support the prioritization of analytics based on areas of best return; deciding on accept/decline analytics and automation activities for the Lab to execute on; hosting regular cadence with lab stakeholders; ensuring analytics initiatives are tracked in central repository.
                                                                • -
                                                                • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
                                                                • -
                                                                • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors
                                                                • -
                                                                • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
                                                                • -
                                                                • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
                                                                • -
                                                                • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
                                                                • -
                                                                • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
                                                                • -
                                                                • Support the adoption of centrally developed data products in the platform with support from the DMA team and global adoption of IA wide data initiatives.
                                                                • -
                                                                • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
                                                                • -
                                                                • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
                                                                • -
                                                                • Support gathering and triage feedback for technical experts on an ongoing basis
                                                                • -
                                                                • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
                                                                • -
                                                                • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
                                                                • -
                                                                • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors
                                                                • -
                                                                +

                                                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                                                Main Responsibilities

                                                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment

                                                                · Drive continuous improvement by identifying opportunities and leading projects

                                                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                                                Advance Analytics

                                                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                                                · Apply statistical and machine learning knowledge to specific business problems and data

                                                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                                                Working Conditions

                                                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                                                Requirements

                                                                Experience

                                                                Research and Data Modelling

                                                                · Between 2 to 5 years of experience in research and advanced data modeling

                                                                o Between 2 to 5 years of experience in a large-scale operation and logistics environment

                                                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                                                o Experience with warehouse management, transportation, and planning systems*

                                                                o Experience with technology and operation automation projects*

                                                                o Experience in applied research in areas relevant to AI *

                                                                o Experience with Machine Learning algorithms*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management*

                                                                · Bachelor’s Degree in Operation Research*

                                                                · Master’s Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent*

                                                                *Any designation for these above would be considered as an asset

                                                                Competencies

                                                                · Applies critical thinking

                                                                · Sets direction and inspires others

                                                                · Collaborates with others and shares information

                                                                · Solves problems to create value

                                                                · Demonstrates agility and drives change

                                                                · Knows the business and stays current on industry needs

                                                                · Fluently bilingual both written and verbal (English, French)*

                                                                *Any skills/attributes for these above would be considered as an asset

                                                                Technical Skills/Knowledge

                                                                · Project and time management*

                                                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                -

                                                                What do you need to succeed?

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10622?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,9,41,https://talenthub.vectorinstitute.ai/jobs/210223739-analyst-advance-analytics-at-cn,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +8d31cbe0-6ad8-4a48-aa38-60449cc5557b,207765957,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:27:01.978Z,"
                                                                +

                                                                What’s the opportunity?

                                                                +

                                                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                                                +

                                                                Your responsibilities include:

                                                                  -
                                                                • Bachelor’s Degree; Masters or Advanced Degree preferred
                                                                • -
                                                                • Knowledge of financial industry regulatory guidelines
                                                                • -
                                                                • Proficient in auditing principles and techniques
                                                                • -
                                                                • Proficient written and oral communication skills
                                                                • -
                                                                • Proficient in project management
                                                                • -
                                                                • Good understanding of programming languages (Python, SQL, R)
                                                                • -
                                                                • Strong understanding and experience using data visualization tools
                                                                • -
                                                                • A strong understanding of Data Analytics to optimize use
                                                                • -
                                                                • Ability to learn new and emerging technologies
                                                                • -
                                                                • Ability to work in a dynamically changing environment.
                                                                • -
                                                                • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
                                                                • -
                                                                • Demonstrated ability to calculate ROI for projects of various complexity and scale
                                                                • -
                                                                • Working knowledge of Python, SQL, Data Visualization, UX/UI
                                                                • -
                                                                • Strong knowledge of Agile or other lean methodologies
                                                                • -
                                                                • Strong knowledge of design, development, and implementation experience utilizing data technologies
                                                                • -
                                                                • Proficient analytical and problem-solving skills
                                                                • -
                                                                • Strong data profiling, cleaning, and mining
                                                                • -
                                                                • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                                • -
                                                                • Expert data extract, transform, and load processes with a variety of data types
                                                                • -
                                                                • 2+ years of experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
                                                                • -
                                                                • Strong interpersonal and communication skills: Ability to explain complex Audit and Technological concepts to various stakeholders ranging from Specialists to Executives
                                                                • -
                                                                • Strong aptitude for Collaboration, Stakeholder Management and Relationship Management
                                                                • -
                                                                • Domain Knowledge and capacity to research and effectively understand innovative concepts, including but not limited to Emerging Financial Risk and Regulation, Artificial Intelligence, Big Data, UX/UI, and Data Visualization
                                                                • +
                                                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                                                • +
                                                                • Designing and building data pipelines for Borealis AI projects;
                                                                • +
                                                                • Building efficient data systems and abstractions for Borealis AI projects;
                                                                • +
                                                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                You’re our ideal candidate if you:

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Opportunities to building close relationships with clients
                                                                • +
                                                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                                                • +
                                                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                                                • +
                                                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                                                • +
                                                                • Strong enterprise experience with data systems and infrastructure at scale;
                                                                • +
                                                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                                                • +
                                                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                                                • +
                                                                • Strong communication skills and a collaborative attitude;
                                                                • +
                                                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                                                -

                                                                -

                                                                The good-faith expected salary range for the above position is $110,000 - $190,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                                                                -

                                                                RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • Drives RBC’s high performance culture
                                                                • -
                                                                • Enables collective achievement of our strategic goals
                                                                • -
                                                                • Generates sustainable shareholder returns and above market shareholder value
                                                                • +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities;
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                +
                                                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-22T19:50:03.125Z,False,0,9,56,https://talenthub.vectorinstitute.ai/jobs/207765957-data-engineer-at-borealis-ai,,expired,2023-03-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +8ba83865-0de7-4de5-9605-a537e55b93f3,207764702,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:03.232Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                +

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                +

                                                                About this Role

                                                                +

                                                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                                                +

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                +

                                                                +

                                                                As the Manager, Analytics & Insights you will:

                                                                +
                                                                  +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                                                • +
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • +
                                                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                                                • +
                                                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                                                • +
                                                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                                                • +
                                                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                                                • +
                                                                • Set operational team direction, working in partnership to execute on common goals
                                                                • +
                                                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                                                • +
                                                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                                                • +
                                                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                                                • +
                                                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                                                • +
                                                                • Support execution with excellence on key initiatives/programs
                                                                • +
                                                                • Design effective test and learn for various programs or scenarios
                                                                • +
                                                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                                                • +
                                                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                                                • +
                                                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +What can you bring to TD?
                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                                                                • +
                                                                • Extensive experience using SQL, Python and Tableau
                                                                • +
                                                                • Experience with Adobe Analytics
                                                                • +
                                                                • Great communication skills to manage relation with stakeholders.
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                +

                                                                +

                                                                Flexible Work Options

                                                                +
                                                                N/A
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-22T19:47:14.933Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/207764702-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e6c3c2d9-db72-4cf8-ba18-e2046af746d4,226984830,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-05-18T16:04:02.078Z,"
                                                                +
                                                                +

                                                                Role Summary

                                                                +
                                                                +

                                                                Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

                                                                +

                                                                **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Responsibilities

                                                                +
                                                                +

                                                                We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

                                                                +
                                                                • Managing code deployments, fixes, updates and related processes
                                                                • Support multiple on-going projects in a fast-paced environment
                                                                • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
                                                                • Creating IoT applications that run on-premise and in the cloud
                                                                • Brainstorming for new ideas and ways to improve development and delivery
                                                                • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
                                                                • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
                                                                • Working with source control tools (Confluence, GitHub, etc.)
                                                                • Actively troubleshooting any issues that arise during testing and production
                                                                • Performing additional duties as assigned
                                                                • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                Key Qualifications/Requirements

                                                                +
                                                                +


                                                                KEY QUALIFICATIONS/REQUIREMENTS:

                                                                +
                                                                • Degree/Diploma in Computer Science or related field of study
                                                                • Minimum six plus (6+) years of related experience required
                                                                • Strong knowledge of Industry 4.0 integration
                                                                • Proven leader
                                                                • +
                                                                +

                                                                +

                                                                POSITION REQUIREMENTS:

                                                                +
                                                                • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
                                                                • Experience with databases and different types of data storage
                                                                • Strong experience with relational databases like SQL Server, MySQL and Oracle
                                                                • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
                                                                • Experience with the MQTT protocol
                                                                • Time and project management skills, with the capability to prioritize and multitask as needed
                                                                • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
                                                                • Knowledge of different project management methodologies such as Waterfall and Agile
                                                                • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
                                                                • Strong analytical and problem-solving ability to design an effective solution
                                                                • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
                                                                • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
                                                                • +
                                                                +
                                                                +
                                                                +
                                                                +

                                                                What Heart Lake Offers

                                                                +
                                                                • Weekly pay via direct deposit
                                                                • Overtime after 40 hours worked
                                                                • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
                                                                • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
                                                                • Profit sharing
                                                                • Matched GRRSP
                                                                • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
                                                                • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
                                                                • Company paid uniforms
                                                                • Company BBQ, holiday parties and company events
                                                                • Corporate Social Responsibility initiatives
                                                                • Annual Employee Opinion Survey
                                                                • Magna Service Award Program
                                                                • Magna Scholarship Program
                                                                • Group Rogers and Bell cellphone data plan available
                                                                • Subsidized cafeteria
                                                                • Educational Assistance Program
                                                                • Employee Discounts: new vehicles, amusement parks, etc.
                                                                • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Additional Information

                                                                +

                                                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                +
                                                                +
                                                                +

                                                                Awareness. Unity. Empowerment.

                                                                +

                                                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                +
                                                                +
                                                                ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-18T02:04:48.720Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/226984830-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,expired,2023-05-18T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +a376ed7f-4367-4b4a-943c-900b7b5acd9e,296509060,TD Bank Group,Manager BI & Reporting II,on_site,"Toronto, ON",2023-12-21T16:28:02.007Z,"
                                                                +

                                                                Hours

                                                                +
                                                                37.5

                                                                -

                                                                USAUDIT23

                                                                +

                                                                Workplace Model

                                                                +
                                                                Hybrid

                                                                +

                                                                Pay Details

                                                                +

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                Jersey City, New Jersey, United States of America

                                                                City:

                                                                USA-NJ-JERSEY CITY

                                                                Country:

                                                                United States of America

                                                                Work hours/week:

                                                                40

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-11-16-08:00

                                                                Application Deadline:

                                                                2023-01-16-08:00
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000034713/Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-27T20:40:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/198986184-manager-data-analytics-at-rbc,,expired,2023-02-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5b1866aa-d5dc-4f00-bb89-a36a4c0252fb,192003386,TELUS,Data Scientist - Wireless Network Performance,on_site,"Ontario, Canada",2023-02-02T17:42:02.077Z,"
                                                                -
                                                                -

                                                                -
                                                                -

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                There’s a lot of buzz around the next leaps in wireless network optimization, leveraging data science, big data and machine learning. Join a team that is re-thinking how we optimize our wireless network by blending wireless engineering, computational analysis, and programming. At TELUS, with over 9 million subscribers, there’s a lot of data being generated from our network, and with this lies untapped potential for data mining and advanced insights towards improving our customers’ wireless experience.

                                                                -

                                                                -

                                                                As a Data Scientist and member of Eastern Canada\'s wireless network performance team, you\'ll play a critical role in the optimization of the Radio Access Network (RAN) by developing automation policies and algorithms, workflow and data processing services and finding new angles/methods to improve network performance, efficiently. You\'ll join the larger Wireless Networks & Services DevOps team that is providing TELUS customers with the most reliable network and the best user experience in every region of the country.

                                                                -

                                                                -

                                                                In our team, you\'ll ensure our customers\' wireless experience continuously improves. Your ""think outside of the box"" and innovation will help shape our Key Performance Indicators (KPIs) that we use to govern our customers\' wireless experience. Your data science and automation mindset will provide inputs to our team to improve the quality and efficiency of the way we do network performance engineering.

                                                                -
                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                -
                                                                -

                                                                -
                                                                -

                                                                What you’ll do

                                                                -

                                                                +

                                                                +

                                                                Job Details

                                                                +
                                                                +

                                                                Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                +

                                                                Sound good so far? Fantastic! We are looking for an experienced people manager and authority to lead a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help build complex reporting and business intelligence reports and solutions to help better inform key business decisions and instill industry gold standard methodologies.

                                                                +

                                                                As Manager II, Business Intelligence & Reporting, you will:

                                                                  -
                                                                • Use data to:
                                                                    -
                                                                  • discover opportunities to improve our processes
                                                                  • -
                                                                  • enhance our decision-making ability
                                                                  • -
                                                                  -
                                                                • -
                                                                • Explore data to:
                                                                    -
                                                                  • design innovative predictive models and metrics
                                                                  • -
                                                                  • develop dashboards to uncover actionable insights
                                                                  • -
                                                                  -
                                                                • -
                                                                • Lead the development, validation, and deployment of AI/ML models and bring these to production
                                                                • -
                                                                • You’ll be exposed to the latest wireless technology innovation planned for TELUS, and be ready to support their launch from a performance management perspective
                                                                • +
                                                                • Lead and execute data/business analysis using various internal data sources to support the understanding of customers, business drivers and financial results
                                                                • +
                                                                • Support all relevant projects and initiatives to ensure project data and reporting requirements are met
                                                                • +
                                                                • Work in a consultative role to provide valuable insights in the form of analysis, interpretation and, advice
                                                                • +
                                                                • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                                • +
                                                                • Create and maintain detailed documentation on all projects/requests
                                                                • +
                                                                • Ensure all projects are delivered according to department standards and guidelines
                                                                • +
                                                                • Manage and resource pipelines to ensure projects and initiatives are completed on time/within budget within priority order (as set by regulatory deadlines, business strategy, etc.)
                                                                • +
                                                                • Manage relationships with key partners to ensure advance notification of upcoming projects, data requests and more
                                                                • +
                                                                • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
                                                                • +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
                                                                -
                                                                -
                                                                -

                                                                -
                                                                -

                                                                What you bring

                                                                -

                                                                -
                                                                  -
                                                                • A passion for how data can be used to uncover new insights, solve problems and drive effective actions
                                                                • -
                                                                • A strategic thinking and a bias for action and driving change
                                                                • -
                                                                • Curious and creative in looking at metrics to identify new critical metrics for the team
                                                                • -
                                                                • Master visualizations and be able to explain complex topics to non-technical audiences
                                                                • -
                                                                • You value deploying Machine Learning and AI solutions for problems solving
                                                                • -
                                                                • You are a strong software developer, you regularly and primarily develop in Python
                                                                • -
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • -
                                                                • Minimum of 3+ years of working with large data sets and analyzing data to identify patterns and in writing and testing code proficiently
                                                                • -
                                                                -

                                                                -

                                                                Great-to-haves

                                                                -

                                                                +

                                                                +

                                                                Job Requirements

                                                                +
                                                                +

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Google Cloud Platform and tools knowledge
                                                                • -
                                                                • Bachelor degree in Computer Science or Engineering or equivalent, or equivalent education and/or experience
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                • +
                                                                • People Management experience will be considered as an asset.
                                                                -

                                                                -

                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Scarborough-Data-Scientist-Wireless-Network-Performance-ON/567290117/,feed-importer@jobboard.io,,,,2023-02-27T20:39:00.000Z,False,0,18,58,https://talenthub.vectorinstitute.ai/jobs/192003386-data-scientist-wireless-network-performance-at-telus,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -ca804364-4056-4004-8a34-92f321c2abfa,198034043,TD Bank Group,BI Specialist,on_site,"Toronto, ON",2023-02-20T17:24:06.069Z,"
                                                                +

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                The Treasury and Balance Sheet Management (TBSM) department of TD Bank is responsible for measurement and management of the bank’s domestic and foreign subsidiary banking portfolio. TBSM looks after liquidity and funding management, cash management, investment strategy, capital management, funds transfer pricing, and market risk management.
                                                                The Market Risk Measurement and Analytics (MRMA) team within TBSM is responsible for measuring and reporting the interest rate, equity, and foreign exchange risks for TD non-trading portfolio. The mandates include:
                                                                • Producing risk measurement reporting focused on understanding current market risk exposure and risk limits.
                                                                • Performing analytics to deepen our understanding or market risk and provide valuable insight & recommendations for management decisions.
                                                                • Putting in place best-in-class governance processes to ensure accuracy of results.
                                                                • Ensuring that our people have the right skills to deliver best-in-class analytics and ALM modeling.
                                                                • Effectively communicating our results and insights to our stakeholders.
                                                                • Building a best-in-class risk analytics infrastructure.

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                The Manager will monitor the bank’s FX risk position against approved limits, and proactively provide insight and recommendations to ensure the known significant events are hedged on a timely basis through stable reporting output. Furthermore, the Manager will proactively explain changes in risk measures with reference to hedging books and strategies.
                                                                Key Responsibilities Include:
                                                                • Support key stakeholders by performing market risk analytics to provide value-add guidance.
                                                                • Review current processes and pro-actively make changes or propose initiatives to improve efficiencies to provide more effective business support.
                                                                • Support the team through various initiatives
                                                                • Foster and maintain effective working relationships with business partners
                                                                • Understand and comply with TD Policies, regulatory and compliance requirements

                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Competencies and Personal Qualities:
                                                                • Excellent communication and presentation skills. Ability to leverage visualization tools, such as Tableau, to explain complicated concept in a clear and concise manner to senior and executive level audiences.
                                                                • Self-starter with a proven ability to meet deadlines, own initiatives, and work effectively under minimum supervision.
                                                                • Strong conceptual, analytical, and problem-solving capabilities. An ideal candidate is self-driven individual with a strong sense of curiosity, able to assess potential drivers and resolutions when issues rise.
                                                                • Able to multitask while maintaining attention to detail with tight timelines.
                                                                • Quick to learn and apply new concepts
                                                                • Excellent interpersonal skills; team player

                                                                -

                                                                Experience:
                                                                • 5 years financial service or consulting practice experience in the areas of Asset Liability Management, risk management accounting and/or finance.
                                                                • Superior understanding of the bank’s accounting principles and system.
                                                                • Superior understanding of FX hedging instruments including derivatives.
                                                                • Solid knowledge of retail banking product features and characteristics.
                                                                • Proficient with computer tools (SQL, Tableau) for data query, visualization and analytics.

                                                                -

                                                                Additional Information
                                                                Specific Educational Requirements/Accreditations:
                                                                • Post-secondary degree in Finance, Math, Business, or Economics
                                                                • MBA, CFA, FRM, CA, and/or CMA considered assets

                                                                +Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                +

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                +

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                +

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                +

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-27T20:39:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/198034043-bi-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, -9afd2875-27b9-49fd-bb0c-4bfaac65a220,196079108,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2023-02-13T17:41:03.730Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                -

                                                                Role Summary

                                                                +
                                                                +Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                +

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                +

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                +

                                                                We look forward to hearing from you!

                                                                +

                                                                -

                                                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-04T16:33:16.385Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/296509060-manager-bi-reporting-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,expired,2023-12-21T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bb7fbd7a-9741-4adf-b788-4a9d10f9d1df,298777358,OMERS,"Data Analyst, Pension Insights",on_site,"Ontario, Canada",2024-01-04T06:45:01.826Z,"
                                                                +

                                                                Why join us?

                                                                +

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                +

                                                                Why join us?

                                                                -

                                                                The Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                +

                                                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                +

                                                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                +

                                                                We are looking for a highly motivated Pensions Analyst to join our Pensions Data Team in Toronto. You will be part of a growing data-driven product development team striving to transform OMERS employees, members, employers and stakeholders experiences through the deployment of high-quality data products and visualizations. We are striving to provide information and actionable insights to improve experiences for members, stakeholders, employers and OMERS teams.

                                                                -

                                                                Sun Life views success in this role in demonstration of these key attributes:

                                                                -

                                                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                +

                                                                The Pensions Data Team is an exciting new team focused on leveraging the newest technologies and approaches to deliver solutions and systems for the modern-day end user. Our primary focus and commitment is to provide real value through high-quality information and actionable data-driven insights. We encourage innovation and empower open thinking for all our team members. We’re excited for the opportunity to have highly driven and impactful talent join our team!

                                                                -

                                                                What will you do?

                                                                +

                                                                As a member of this team, you will be responsible for:

                                                                  -
                                                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                                • -
                                                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                                • -
                                                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                                • -
                                                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                                • -
                                                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                                • -
                                                                • Champion and support diversity and inclusion

                                                                • +
                                                                • Collaborate within an agile framework, and engage with product owners, business partners and technology teams to translate business needs into data designs, e.g. data analytics, data modeling, data profiling and data mapping

                                                                • +
                                                                • Analyzing large data sets

                                                                • +
                                                                • +

                                                                  Managing the extract, transform, load (ETL) process for the purposes of producing data-driven insights about our members, including:

                                                                  +
                                                                    +
                                                                  • working with other technical teams to define the data pipeline;

                                                                  • +
                                                                  • performing data analyses and building insightful visualizations;

                                                                  • +
                                                                  • documenting system requirements

                                                                  • +
                                                                  +

                                                                -

                                                                What will you need to succeed?

                                                                +
                                                                • +

                                                                  Collaborating with peers and data analytics leaders to:

                                                                    -
                                                                  • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                                  • -
                                                                  • 1+ year experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                                  • -
                                                                  • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                                  • -
                                                                  • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                                  • -
                                                                  • Experience with AWS services including SageMaker is required for some roles

                                                                  • -
                                                                  • Experience with machine learning including supervised and unsupervised models

                                                                  • -
                                                                  • Demonstrated experience in data transformation & data manipulation

                                                                  • -
                                                                  • Experience working with Structured vs. Unstructured data

                                                                  • -
                                                                  • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                                                  • -
                                                                  • Effective and concise oral and written storytelling and insights communication skills

                                                                  • -
                                                                  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                                  • -
                                                                  • Ability to document work and effectively prioritize documentation

                                                                  • -
                                                                  • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                                                                  • +
                                                                  • Identify, draft and communicate findings to senior leadership;

                                                                  • +
                                                                  • Research best practices in CX analytics and reporting;

                                                                  • +
                                                                  • Advise senior leadership on approaches to enhancing our existing ETL process

                                                                  +

                                                                -

                                                                What will be nice to have?

                                                                -
                                                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                                -

                                                                -

                                                                Unique Requirements

                                                                -

                                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                -

                                                                -

                                                                What\'s in it for you?

                                                                  -
                                                                • Remote/ Hybrid Work environment

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • 15 days vacation per year and an innovative sabbatical program

                                                                • -
                                                                • A friendly, collaborative and inclusive culture

                                                                • -
                                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                • -
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                • +
                                                                • Working collaboratively across a variety of technical, data science, and business teams to deliver the Pension Experience Insights program

                                                                • +
                                                                • Assisting other members of the Pension Data Team with data validation and checking, where needed

                                                                +

                                                                To succeed in this role, you have:

                                                                +
                                                                  +
                                                                • Experience running end-to-end data analytics projects, including: requirements gathering, data collection, data cleaning and analysis

                                                                • +
                                                                • Knowledge of Pensions plan policies and administrative procedures

                                                                • +
                                                                • 1+ years of experience working with SQL

                                                                • +
                                                                • It is an asset if you have experience working with Python and/or R

                                                                • +
                                                                • It is an asset if you have experience working with Power BI, or similar data visualization software

                                                                • +
                                                                • A track record of “thinking outside the box” and looking at a challenge through multiple lenses

                                                                • +
                                                                • Experience of applying innovative solutions and working with business stakeholders to challenge the status quo, deliver solutions that tackle business problems and meet business requirements

                                                                • +
                                                                • Acute attention to detail and an interest in maintaining the highest data quality standards

                                                                • +
                                                                • Strong ability to manage multiple priorities, work under pressure to meet deadlines

                                                                • +
                                                                • Strong willingness and independent attitude in learning new things

                                                                • +
                                                                • Robust understanding of agile methodologies

                                                                • +
                                                                • Excellent communication and interpersonal skills to work with different personas

                                                                • +
                                                                • Knowledge of systems development life cycle, IT processes and ability to grasp complex technical concepts and translate it into business language

                                                                • +
                                                                • Ability to adapt to a dynamic and evolving software development team environment

                                                                • +
                                                                • Strong working knowledge of Microsoft Office applications (Excel, PowerPoint, Word) and Windows

                                                                • +
                                                                • An interest in demography, behavioral psychology or in pension administration

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Pension-Insights_JR-5716?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/298777358-data-analyst-pension-insights-at-omers,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +e4ee1156-9493-41e5-ade7-80cd60f95d2a,298777366,CN,"Intern, Data Migration and Governance, Analyst",on_site,"Ontario, Canada",2024-01-04T06:45:02.351Z,"
                                                                +

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                58,700/58 700 - 93,900/93 900

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                26/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00075554?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-27T17:46:07.589Z,False,0,28,173,https://talenthub.vectorinstitute.ai/jobs/196079108-data-scientist-at-sun-life-financial,,expired,2023-02-13T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c7dc7a63-8809-4736-8c5d-32929a17a182,194556483,CN,Manager Data Analytics Service,on_site,"Ontario, Canada",2023-02-09T17:42:04.956Z,"
                                                                -

                                                                -
                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                -

                                                                -
                                                                Job Summary
                                                                -

                                                                The Manager, Data Analytics Service is responsible for developing a team specialized in data analytics, and collaborating with other data services teams (e.g., self-service analytics, data science, data ops, data governance, etc.). The role handles the delivery of Data Analytics solutions including the intake of data analytics requests, data readiness assessment, prioritization, resources capacity, delivery planning and budget monitoring. Moreover, the position contributes to the continuous improvement of data-related processes, of best practices and standards through Centers of Excellence (CoEs) and Communities of Practise (CoPs).

                                                                -

                                                                -
                                                                Main Responsibilities
                                                                -

                                                                -
                                                                -

                                                                Leadership

                                                                · Focus on communications and foster collaboration by regularly providing updates to teams about ongoing initiatives and encouraging teams to work together to accomplish common goals and learning

                                                                · Provide a positive onboarding experience to new employees by ensuring they have access to the tools and resources needed to fulfill the job requirements

                                                                · Recognize employee milestones as well as significant contributions and enhanced responsibilities

                                                                · Handle employee performance by ensuring employees who are not meeting expectations are identified and supported through the improvement process

                                                                · Partner with Human Resources (HR) to bring new talent to the organization by resolving which skills and roles will be required in the future and by making thoughtful hiring decisions

                                                                · Participate in succession planning by contributing to the yearly talent review cycle and identifying employees with the potential to move up the management and expertise paths

                                                                · Create and enable a positive and engaging work environment by ensuring individual strengths are uncovered and leveraged through frequent and focused conversations

                                                                · Ensure knowledge is preserved through cross-training for key skill sets in the team

                                                                · Support employee development by regular conversations to reach their career goals

                                                                · Conduct routine performance reviews with staff

                                                                Delivery

                                                                · Lead team for the delivery and development of data analytics solutions with supportability in mind

                                                                · Enable delivery and release management process to let self-service users operationalize their solutions in an efficient manner

                                                                · Handle a collection of data analytics capabilities with controlled financial performance while meeting scope, budget, and timeline requirements

                                                                · Lead agile processes development and adoption with influence for continuous improvement over centralized project management practices

                                                                · Maintain the relationship and work model with vendors, including evaluation of their efficiency

                                                                Data Strategy and Continuous Improvement

                                                                · Influence and collaborate with Data Science and Analytics team leaders to define data strategies, alignment, and execution

                                                                · Contribute to data related CoEs and CoPs

                                                                · Continue training and benchmarking for sustained intellectual leadership over elite data innovations and practices

                                                                · Contribute to leadership by various data capabilities roadmaps as Data Lake, Data Warehouse and other data-related capabilities

                                                                Customer Experience

                                                                · Lead a team to customer-driven leadership and cultural enablement

                                                                · Devise improved future states, establishing, and executing the change management strategy, including the communication plan

                                                                · Align the customer’s roadmaps with data platforms and operational data pipelines planning delivery and lifecycles

                                                                · Seek customer feedback to understand and improve customer satisfaction

                                                                · Lead and organize a proper support structure to data capabilities clients for sustained business Service Level Agreements (SLAs) and increasing data practices adoption

                                                                · Continue to improve data capabilities based on customers’ feedback as Key Performance Indicators (KPI) metrics and Multifactor Analysis (MFA) surveys

                                                                Working Conditions

                                                                The role works in a standard office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (10%) within Canada and the United States (U.S.).

                                                                -

                                                                Experience

                                                                -

                                                                Analytics, Self-Service, and Data Sciences

                                                                -

                                                                · Minimum 15 years of overall work experience

                                                                -

                                                                o Minimum 10 years of experience in analytics, self-service practices, and data sciences

                                                                -

                                                                o Minimum 5 years demonstrating leadership qualities or overseeing deliverables

                                                                -

                                                                Education/Certification/Designation

                                                                -

                                                                · Bachelor\'s Degree in Computer Science or equivalent degree or work experience

                                                                -

                                                                Competencies

                                                                -

                                                                · Sets goals that are consistent with CN\'s plan and takes responsibility for achieving results

                                                                -

                                                                · Shares timely information within and across functions to get things done effectively

                                                                -

                                                                · Demonstrates analytical thinking and a broad vision when making decisions

                                                                -

                                                                · Addresses risks in a timely manner to eliminate them

                                                                -

                                                                · Innovates through problem solving

                                                                -

                                                                · Possess organizational, time-management and prioritizing competencies

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                -

                                                                · Demonstrates good judgment in decision making and makes difficult and timely decisions

                                                                -

                                                                · Prioritize individual development and continuous learning

                                                                -

                                                                · Deals with pressure and change by staying calm to quickly adapt to changes

                                                                -

                                                                · Builds a relationship with clients and provides valuable services

                                                                -

                                                                Technical Skills/Knowledge

                                                                -

                                                                · Advanced skills and knowledge of analytical data platforms, data architecture, data management and governance

                                                                -

                                                                · Strong understanding of modern agile practices in the context of project management

                                                                -

                                                                -

                                                                · In-depth understanding and knowledge of data capabilities as data lakes, data warehouses, data integration, data management and data governance

                                                                -

                                                                Employees Supervised/Organizational Structure

                                                                -

                                                                -

                                                                The Manager for Data Analytics Service reports to the Senior Manager, Analytics,
                                                                Self-Service and Data Science. The role requires the direct supervision of 8 to 10 non-unionized employees.

                                                                -
                                                                -

                                                                -
                                                                About CN
                                                                -

                                                                -
                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                -

                                                                -
                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                +

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration and Governance, Analyst position in Montreal, QC from May – August 2024.

                                                                +

                                                                Job Summary

                                                                +

                                                                The Intern, Data Migration and Governance, Analyst is responsible for contributing to the implementation of data management and governance strategies in a large and complex Enterprise Resource Planning (ERP) business transformation. The position helps develop skills and practical experience in a data-centric digital transformation. The role consists of assisting business and Information and Technology (I&T) stakeholders in performing Master Data profiling, cleansing and construction so it meets CN requirements before being migrated to the new system. Additionally, the position involves identification and validation of Master Data Governance (MDG) rules and workflows to ensure newly created Master Data complies with CN requirements as it gets defined over time. The areas of business covered by the Master Data will be the Mechanical department (which targets rolling assets, such as locomotives) and the Engineering department (which targets the non-rolling assets, such as tracks, signalling, and bridges). The incumbent takes part in the validation and integrated testing cycles that are being planned as part of the transformation program.

                                                                +

                                                                Major Responsibilities

                                                                +

                                                                Master Data Conversion and Quality – 50%

                                                                +
                                                                  +
                                                                • Identify data objects and profiling quality
                                                                • +
                                                                • Assist stakeholders in Master Data cleansing, construction strategies and implementation
                                                                • +
                                                                • Participate actively in Master Data Conversion Mock cycles, from data loading, analysis, corrective measure implementation and validation
                                                                • +
                                                                • Enhance and promote the Master Data quality tool Proof of Business Value
                                                                • +
                                                                • Be involved in specialized Data Conversion platforms, such as Syniti ADM
                                                                • +
                                                                +

                                                                Master Data Governance – 50%

                                                                +
                                                                  +
                                                                • Assist stakeholders in identifying, implementing, and validating Master Data business rules and workflow requirements in conjunction with business owners
                                                                • +
                                                                • Validate data governance roadmap and strategy on specialized tools and platforms, such as System, Applications, and Products (SAP) MDG and Asset Information Workbench (AIW)
                                                                • +
                                                                • Participate in Integrated Test Cycles, as defined by the program, to validate Master Data-related Business Processes
                                                                • +
                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Interest in managing data and business processes
                                                                • +
                                                                • Applies critical thinking
                                                                • +
                                                                • Interest in identifying issues and applying resolution in complex data sets
                                                                • +
                                                                • Knowledge of Microsoft Office (Excel and other equivalent productivity tools) way)
                                                                • +
                                                                • Knowledge of Structured Query Language (SQL) scripting*
                                                                • +
                                                                • Communicates with impact
                                                                • +
                                                                • Works with geographically distributed colleagues, collaborates with others and shares information
                                                                • +
                                                                +

                                                                Education

                                                                +
                                                                • Working towards a Bachelor’s Degree in any Technical or Business fields with interest in data management, including Business Analysis and Processes, Mathematics, Statistics, Data Science, and Engineering
                                                                +

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                +

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11968?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-01-08T06:50:02.688Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/298777366-intern-data-migration-and-governance-analyst-at-cn,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +92a65e8f-b39d-42a0-aab8-bb5193d2a6ad,295867484,Scotiabank,"Manager, CCR Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-12-18T16:26:01.832Z,"

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10126?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-02-27T17:47:12.278Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/194556483-manager-data-analytics-service-at-cn,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c5d51f7a-11a3-45b3-9ad1-b34e42706c28,189567851,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.084Z,"
                                                                -
                                                                -2022-12-07T11:18:47.798Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Student Researcher, BS, 2023

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                • + 2 more locations
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                -

                                                                This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  -
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  -
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                  -
                                                                • -
                                                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                  -
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                -

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:47:03.828Z,False,0,39,152,https://talenthub.vectorinstitute.ai/jobs/189567851-student-researcher-bs-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -5673ecab-a0d3-4a66-88ad-36828138d59d,189567844,Google,"Software Developer Intern, PhD, Summer 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:02.877Z,"
                                                                -
                                                                -2022-12-07T11:20:16.817Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Software Developer Intern, PhD, Summer 2023

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Waterloo, ON, Canada -
                                                                • -
                                                                • + 1 more location
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Please complete your application before February 24th, 2023.

                                                                -

                                                                Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                                -

                                                                This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2023, depending on their program and unique circumstances.

                                                                -

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                                -
                                                                  -
                                                                • 1. In the “Resume Section:” attach an updated CV or resume.
                                                                • -
                                                                • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
                                                                • -
                                                                  • Under “Degree Status,” select “Now attending” to upload a transcript.
                                                                  -

                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Pursuing a PhD degree program in Computer Science, or related technical field.
                                                                • -
                                                                • Experience programming in one or more of the following: C/C++, Java, or Python.
                                                                  -
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                -
                                                                  -
                                                                • Currently attending a degree program in Canada and available to work full time for a minimum of 12 weeks outside of university term time.
                                                                • -
                                                                • Returning to a degree program after completion of the internship.
                                                                • -
                                                                • Experience in computer science, with knowledge in data structures, algorithms, and software design.
                                                                  -
                                                                • -
                                                                • Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go, or similar.
                                                                  -
                                                                • -
                                                                • Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
                                                                  -
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

                                                                -

                                                                We offer a range of internships in either Software Engineering or Site-Reliability Engineering across North America, including the US and Canada. Our recruitment team will determine where you fit best based on your resume.

                                                                -

                                                                Software Developer Intern:
                                                                As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.

                                                                -

                                                                Site Reliability Intern:
                                                                Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts to building automation infrastructure.

                                                                -

                                                                Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology\'s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Create and support a productive and innovative team including working with peers, managers, and teams.
                                                                • -
                                                                • Develop scripts to automate routine tasks.
                                                                • -
                                                                • Analyze information and evaluate results to choose the best solution to effectively solve challenges.
                                                                • -
                                                                • Apply knowledge gained in computer science courses to real world challenges.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/127279592277713606-software-developer-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:45:39.510Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/189567844-software-developer-intern-phd-summer-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -6a0f29f9-ec6b-47aa-9602-3e4591b55773,189564538,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-01-23T17:14:02.034Z,"
                                                                -

                                                                Referred applicants should not apply directly to this role.

                                                                -

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                -

                                                                -

                                                                -

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                -

                                                                -

                                                                When you hire great people, great things can happen.

                                                                -

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                -

                                                                -

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                -

                                                                -

                                                                Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                                                                -

                                                                -

                                                                The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                                                                -

                                                                -

                                                                You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                                                                -
                                                                  -
                                                                • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • -
                                                                • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                                                                • -
                                                                • Perform data profiling and source to target mapping analysis for the best design
                                                                • -
                                                                • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                                                                • +

                                                                  +

                                                                  +

                                                                  Requisition ID: 189329

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Excited about creating a safer financial world by using your data, analytics, and modelling skills?Join us!

                                                                  +

                                                                  +

                                                                  As the Market Risk Measurement (MRM) team, we are an established leader in risk methodologies with many awards and several firsts in the Canadian banking sector: We prepare Scotiabank for the adoption of new regulatory and industry-wide initiatives and played a key role in Scotiabank becoming the first bank in Canada to receive regulatory approval for using Internal Model Methods (IMM) for Counterparty Credit Risk. We currently lead the Bank’s project to implement the Fundamental Review of the Trading Book (FRTB). As part of this, we have provided major contributions to discussion with regulators on changes that increase the financial stability of banking systems world-wide.

                                                                  +

                                                                  +

                                                                  MRM is actively involved in the Bank’s Diversity & Inclusion (D&I) initiatives representing the diverse gender, cultural and ethnic backgrounds of our team. The more diverse we are, the more balanced our approach and models will be! The team is a key contributor to Women-in-Leadership activities – we take part in enterprise-wide D&I discussions, events, and Employee Resource Groups to enhance the representation and recognition of minority groups in the bank.

                                                                  +

                                                                  +

                                                                  We are looking for people and talent that will help us drive these large-scale initiatives forward and work alongside our diverse team of quants, data scientists and developers and collaborate with our many stakeholders across Scotiabank.

                                                                  +

                                                                  +

                                                                  Is this role right for you?

                                                                  +

                                                                  Do you love to apply your data analytics and modelling skills to solve relevant problems? Do you want to be part of the exciting endeavour of building out the next generation market risk framework to make a safer financial world? This role is ideal for a person with quantitative background who is keen to help in bank-wide projects that require a high degree of communication and stake-holder management. This is also a good starter role for someone with a strong quantitative background with proven interest in Finance, Economics, Derivatives, or Risk Management via reading and self-education.

                                                                  +

                                                                  +

                                                                  As a member of the Counterparty Credit Risk Analytics team, you will work with the Bank’s Counterparty Credit Risk (CCR) systems which cover measurement of Potential Future Exposure (PFE), IMM capital and xVA pricing. The team is at the forefront of new bank-wide initiatives related to CCR systems with exposure to many stakeholders from business and risk functions. You will collaborate with front-office, model developers, credit risk managers, data governance teams, and technology to build out analytics support and data solutions to ensure accurate reporting and insights on CCR measures used to monitor CCR in the Bank’s CCR Monte Carlo engine as well as capital calculation system.

                                                                  +

                                                                  +

                                                                  In this role, you will:

                                                                  +
                                                                  • Take a hands-on role in several key strategic initiatives that are highly quantitative and key to accurate and timely CCR reporting.
                                                                  • Collaborate with front office, model development, technology, and downstream data users to support daily exposure investigations.
                                                                  • Take on a central role in Identifying CCR data issues and streamlining priorities. Collaborate with data governance teams to drive CCR data issues resolution.
                                                                  • Develop and automate control processes to identify data challenges affecting accuracy of CCR measures. Development is typically completed in SQL or python.
                                                                  • Develop and implement analytics dashboard through the Power BI framework within the CCR database to support monitoring and drilldown investigation of CCR measures.
                                                                  • Assist team members with various operational responsibilities including daily run of critical risk reports and corresponding analyses, ad-hoc data pulls and analyses, documentation, other regular reporting, etc.
                                                                  • Become an active member of the team including our D&I initiatives and communities.
                                                                  -

                                                                  What you’ll do:

                                                                  +

                                                                  +

                                                                  Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                                                                  +
                                                                  • Solid quantitative background and problem-solving skills with a keen interest in Finance, Economics, Derivatives, Risk framework and Regulations (i.e., exposure reporting, capital, etc.).
                                                                  • Advanced degree in a mathematics, economics, or scientific discipline (e.g., Mathematics, Statistics, Physics, Engineering, Biology, Finance, Economics, etc.). Master’s degrees or PhDs are a bonus.
                                                                  • Excellent communication skills and specifically the ability to summarize complex ideas in simple terms. Strong presentation and writing skills.
                                                                  • Ability to critically evaluate impact across systems/processes; and to define and effectively communicate objectives and solutions with the corresponding stakeholders.
                                                                  • You like communication and stakeholder management, and you strive to push forward projects.
                                                                  • SQL programing is essential to support day-day activity.
                                                                  • Hands-on experience with Python and/or other Object-Oriented languages and Unix bash scripting is preferred.
                                                                  • Knowledge of databases and BI tools (especially MS Power BI) is an asset.
                                                                  • Knowledge of industry wide methods for CCR calculations or experience with CCR management is an asset.
                                                                  • +
                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                  • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                                                                  • A rewarding career path with diverse opportunities for professional development.
                                                                  • Internal development to support your growth and enhance your skills.
                                                                  • A competitive compensation and benefits package.
                                                                  • An organization committed to making a difference in our communities– for you and our customers.
                                                                  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                  • +
                                                                  +

                                                                  +

                                                                  This position is located Downtown, Toronto.

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-08T16:31:06.342Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/295867484-manager-ccr-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Analytics-Contract-ON-M5H1H1/576629617/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b94f31e2-88e5-4f11-92a0-c623f891dea8,342351746,BMO Financial Group,First Nations / Inuit / Métis – Manager - Data analytics,on_site,"Ontario, Canada",2024-09-16T12:06:02.446Z,"
                                                                +

                                                                Application Deadline:

                                                                09/25/2024

                                                                +

                                                                +

                                                                Address:

                                                                VIRTUAL59 - HomeRes - ON - BMO

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                We invite all experienced and aspiring First Nations / Inuit / Métis professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all those on BMO’s Career Page.

                                                                +

                                                                Qualified First Nations / Inuit / Métis applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                                                +

                                                                This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                                                +

                                                                +

                                                                +

                                                                Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                                                  -
                                                                • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • -
                                                                • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                                                                • -
                                                                • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                                                                • -
                                                                • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                                                                • -
                                                                • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                                                                • -
                                                                • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                                                                • +
                                                                • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                • +
                                                                • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                • +
                                                                • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                • +
                                                                • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                • +
                                                                • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                • +
                                                                • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently and regularly handles non-routine situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                -

                                                                Who you are:

                                                                +

                                                                +

                                                                Qualifications:

                                                                +

                                                                Intermediate level of proficiency:

                                                                  -
                                                                • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                                                                • -
                                                                • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                                                                • -
                                                                • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                                                                • -
                                                                • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                                                                • -
                                                                • Professional experience working in an agile environment
                                                                • -
                                                                • Strong analytical and problem-solving ability
                                                                • -
                                                                • Strong written and verbal communication skills
                                                                • -
                                                                • Experience in operating and maintaining production-grade software
                                                                • -
                                                                • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                                                                • +
                                                                • Mathematics, statistics & operations research.
                                                                • +
                                                                • Deep learning.
                                                                • +
                                                                • Machine learning.
                                                                • +
                                                                • Trust, bias and ethics.
                                                                • +
                                                                • Creative thinking.
                                                                • +
                                                                • Critical thinking.
                                                                -

                                                                Preferred Skills:

                                                                +

                                                                Advanced level of proficiency:

                                                                  -
                                                                • Knowledge of software and data engineering best practices
                                                                • -
                                                                • Experience with large scale distributed data technologies and tools
                                                                • -
                                                                • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                                                                • -
                                                                • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                                                                • -
                                                                • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                                                                • -
                                                                • Understands how to translate business requirements to technical architectures and designs
                                                                • -
                                                                • Comfortable communicating with various stakeholders (technical and non-technical)
                                                                • +
                                                                • Big data.
                                                                • +
                                                                • Data visualization.
                                                                • +
                                                                • Computational thinking and programming.
                                                                • +
                                                                • Data wrangling.
                                                                • +
                                                                • Data preprocessing.
                                                                • +
                                                                • Creative reasoning.
                                                                • +
                                                                • Verbal & written communication skills.
                                                                • +
                                                                • Collaboration & team skills.
                                                                • +
                                                                • Analytical and problem solving skills.
                                                                • +
                                                                • Influence skills.
                                                                • +
                                                                • Data driven decision making.
                                                                • +
                                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                +

                                                                -

                                                                Nice to have Skills (though not required):

                                                                +

                                                                Salary:

                                                                +
                                                                $81,600.00 - $151,200.00

                                                                +

                                                                Pay Type:

                                                                Salaried

                                                                +

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                +

                                                                +

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                +

                                                                +

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/First-Nations---Inuit---Mtis---Manager---Data-analytics_R240020675?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-24T08:23:01.871Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/342351746-first-nations-inuit-metis-manager-data-analytics-at-bmo-financial-group,,expired,2024-09-16T12:06:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +4e9dd1aa-5962-41fe-a4ba-7d88e2db1bf7,303712458,TD Bank Group,Manager BI & Reporting II,on_site,"Toronto, ON",2024-02-01T16:28:01.905Z,"
                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Workplace Model

                                                                +
                                                                Hybrid
                                                                +

                                                                +

                                                                Pay Details

                                                                +

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                +

                                                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                +

                                                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                +

                                                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +
                                                                +

                                                                +

                                                                Job Details

                                                                +
                                                                +

                                                                Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                +

                                                                Sound good so far? Fantastic! We are looking for an experienced people manager and authority to lead a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help build complex reporting and business intelligence reports and solutions to help better inform key business decisions and instill industry gold standard methodologies.

                                                                +

                                                                As Manager II, Business Intelligence & Reporting, you will:

                                                                  -
                                                                • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                                                                • -
                                                                • Contributions to open-source software (code, docs, or mailing list posts)
                                                                • -
                                                                • GCP Professional Data Engineer Certification
                                                                • -
                                                                • Confluent Certified Developer for Kafka
                                                                • +
                                                                • Lead and execute data/business analysis using various internal data sources to support the understanding of customers, business drivers and financial results
                                                                • +
                                                                • Support all relevant projects and initiatives to ensure project data and reporting requirements are met
                                                                • +
                                                                • Work in a consultative role to provide valuable insights in the form of analysis, interpretation and, advice
                                                                • +
                                                                • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                                • +
                                                                • Create and maintain detailed documentation on all projects/requests
                                                                • +
                                                                • Ensure all projects are delivered according to department standards and guidelines
                                                                • +
                                                                • Manage and resource pipelines to ensure projects and initiatives are completed on time/within budget within priority order (as set by regulatory deadlines, business strategy, etc.)
                                                                • +
                                                                • Manage relationships with key partners to ensure advance notification of upcoming projects, data requests and more
                                                                • +
                                                                • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
                                                                • +
                                                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                • +
                                                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                • +
                                                                • Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
                                                                • +
                                                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
                                                                +

                                                                -

                                                                COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                                -

                                                                -

                                                                In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                                                +

                                                                Job Requirements

                                                                +
                                                                +

                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +
                                                                  +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • Seven (7) or more years relevant experience
                                                                • +
                                                                • People Management experience will be considered as an asset.
                                                                • +
                                                                +

                                                                +

                                                                Company Overview

                                                                +
                                                                +Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                +

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                +

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                +

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                +

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                +

                                                                -

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                +

                                                                Inclusiveness

                                                                +
                                                                +Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                +

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                +

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                +

                                                                We look forward to hearing from you!

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-05T16:33:02.220Z,False,0,1,28,https://talenthub.vectorinstitute.ai/jobs/303712458-manager-bi-reporting-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,expired,2024-02-01T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c423fa42-52a5-40e6-b661-ef7b4d88f572,303083873,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-01-29T06:44:01.983Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Number of Openings:

                                                                0

                                                                -

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                +

                                                                Job Description:

                                                                +

                                                                Do you have a passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                +

                                                                The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                -

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                +

                                                                As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                +

                                                                You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                +

                                                                To achieve this, we will be leveraging many systems across Sun Life, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                -

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                -
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-02-22T21:41:01.014Z,False,0,10,38,https://talenthub.vectorinstitute.ai/jobs/189564538-data-engineer-at-loblaw-companies-ltd,,expired,2023-01-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -7cedb4c9-c034-41b8-8c59-75d03d647370,189570673,Avidbots,Senior Software Developer,on_site,"Ontario, Canada",2023-01-23T17:42:04.018Z,"
                                                                -

                                                                Now is the time to become an Avidbotter!

                                                                -


                                                                About Avidbots

                                                                -

                                                                Avidbots is a leading-edge robotics company with the vision to bring robotic solutions into everyday life to increase organizational productivity and to do that better than any other company in the world. Our ground-breaking product, the Neo 2 autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Headquartered in Kitchener, ON, Canada, Avidbots offers comprehensive service and support to customers in 5 continents.

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                • +
                                                                • Analytic work from requirements specification, data gathering, analysis of presentations to solve business problems.
                                                                • +
                                                                • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                • +
                                                                • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                • +
                                                                • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                • +
                                                                • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                • +
                                                                • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. +
                                                                • +
                                                                • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                                                • +

                                                                -

                                                                About the Opportunity:

                                                                -

                                                                Avidbots is embarking on an effort to start a number of expansion projects, and we are looking for an enthusiastic, passionate and quality-driven Senior Software Developer to help push the boundaries of commercial robotics. In this role, you will be a key contributor in advancing the state of our robot systems software. This is a unique opportunity to have a direct impact on the foundational software upon which our next-generation robot models will be built.

                                                                -

                                                                -

                                                                The ideal candidate has an exceptional and proven capability of developing software in C++ and OOP. You have a demonstrated track record in deploying software development projects for large and complex systems. You thrive with the latest technology while taking pride in well-designed, clean, and reliable code.

                                                                +

                                                                What do you need to succeed?

                                                                +
                                                                  +
                                                                • 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                • +
                                                                • 5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                • +
                                                                • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                • +
                                                                • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                • +
                                                                • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                • +
                                                                • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                • +
                                                                • Comfortable learning new applications and processes quickly with minimal direction
                                                                • +
                                                                • Ability to document work.
                                                                • +

                                                                -

                                                                This can be a hybrid opportunity!

                                                                -

                                                                -

                                                                How you will make a difference:

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • - Lead design and development initiatives to create, maintain and improve our robot software -
                                                                • -
                                                                • - Take ownership of critical robot software design decisions and drive their execution -
                                                                • -
                                                                • - Become a technical expert of your domain and contribute to the overall robot architecture -
                                                                • -
                                                                • - Champion continuous improvements in development environment and processes -
                                                                • -
                                                                • - Propose, define and maintain detailed API and design documentation -
                                                                • -
                                                                • - Participate in code reviews and in all phases of the Software Development Life Cycle -
                                                                • +
                                                                • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                • +
                                                                • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                • +
                                                                • Experience in Salesforce
                                                                • +
                                                                • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                • +
                                                                • Additional statistical programming languages (i.e SAS/R)
                                                                • +
                                                                • Advanced user of MS Excel and MS Access

                                                                -

                                                                Key Skills and Experience:

                                                                +

                                                                Unique Requirements?

                                                                  -
                                                                • B.Sc. degree in mechatronics, computer science, engineering or equivalent
                                                                • -
                                                                • - 5+ years of professional software development experience -
                                                                • -
                                                                • - Expertise in C++ and object oriented programming principles -
                                                                • -
                                                                • - Proven experience with modern development process based on agile methodology -
                                                                • -
                                                                • - Experience with hardware interface/driver level development -
                                                                • -
                                                                • - Proficient in architecting, presenting and sharing software solutions to complex robotic challenges -
                                                                • -
                                                                • - Driven individual, passionate, self-starter -
                                                                • +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                -

                                                                Bonus:

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • - Background in robotics -
                                                                • -
                                                                • - Strong working knowledge of ROS and Python -
                                                                • -
                                                                • - Experience developing safety/diagnostics related software -
                                                                • -
                                                                • - Experience with GUI development -
                                                                • -
                                                                • - Graduate degree in mechatronics, computer science, engineering, or equivalent -
                                                                • -
                                                                • - Basic mechanical/electrical knowledge -
                                                                • -
                                                                • - Scrum certification -
                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US - 2022
                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                • +
                                                                • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work
                                                                • +
                                                                • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.
                                                                -

                                                                -

                                                                **Applicants must be currently authorized to work in Canada for any employer""

                                                                -

                                                                -

                                                                Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                                                -

                                                                -

                                                                Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                                                                -

                                                                #INDAV

                                                                -
                                                                ",,https://avidbots.bamboohr.com/careers/507,feed-importer@jobboard.io,,,,2023-02-22T22:36:50.856Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/189570673-senior-software-developer-at-avidbots,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -67d64555-5962-4bb2-979f-fe50348b5db9,189730971,BenchSci,"Staff Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-01-24T17:39:01.921Z,"
                                                                -
                                                                We are seeking a Staff Machine Learning Engineer - NLP to join our growing Machine Learning team!
                                                                -

                                                                -
                                                                You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Director of Engineering in Machine Learning, you'll apply your deep domain expertise to multiple mission-critical projects and architect advanced machine learning algorithms for the ML team to implement. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                -

                                                                -
                                                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US, and the UK for this position.
                                                                -
                                                                -

                                                                You Will:

                                                                -
                                                                    -
                                                                  • Prototype ML Architecture across multiple ML Teams to execute in order to build robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • -
                                                                  • Review and approve ML technical documentation to ensure quality and accuracy of performance and results
                                                                  • -
                                                                  • Contribute to the ML roadmap by ensuring project proposals are both highly impactful and technically feasible
                                                                  • -
                                                                  • Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • -
                                                                  • Lead design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment
                                                                  • -
                                                                  • Own the solutions and long-term technology investments that will drive innovation at BenchSci
                                                                  • -
                                                                  • Participate and contribute to sprint planning, estimation, and design/code reviews
                                                                  • -
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • -
                                                                  • Work cross-functionally with different stakeholders including BenchSci's R&D scientists
                                                                  • -
                                                                -
                                                                -

                                                                You Have:

                                                                -
                                                                    -
                                                                  • A Ph.D. in Computer Science, Machine Learning, or a related field
                                                                  • -
                                                                  • 8 years of combined experience working as a professional developer and as a researcher applying machine learning techniques to solve business problems
                                                                  • -
                                                                  • Established research track record, evidenced by conference or journal publications
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • -
                                                                  • Extensive experience with NLP and PyTorch
                                                                  • -
                                                                  • Experience with architecting, building, and evaluating robust and scalable production-ready ML models
                                                                  • -
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas A growth mindset and a constant desire to learn
                                                                  • -
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-02-23T17:44:02.233Z,False,0,9,90,https://talenthub.vectorinstitute.ai/jobs/189730971-staff-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c,expired,2023-01-24T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,PhD,New Posting, -8521f535-9ff7-4d94-9c38-e5b74b1a396f,192003375,Sun Life Financial,Senior Campaign Data Analyst (Fixed term),on_site,"Ontario, Canada",2023-02-02T17:41:02.516Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                #LI-Hybrid #LI-remote

                                                                -

                                                                Job Description:

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Role Summary

                                                                -

                                                                Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                                                                -

                                                                As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience.

                                                                -

                                                                As Senior Campaign Data Analyst, you will leverage our vast data, SAS and Big Data capabilities to enable these objectives by designing marketing campaigns and delivering data solutions for our inbound and outbound channels. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                This is a fixed term position for 12 months. It offers partial benefits and 4 weeks vacation.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders

                                                                • -
                                                                • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs

                                                                • -
                                                                • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements

                                                                • -
                                                                • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements

                                                                • -
                                                                • Support stakeholders and third parties throughout the campaign implementation process

                                                                • -
                                                                • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                                                                • -
                                                                • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are fairly complex.

                                                                • -
                                                                • Manage multiple campaigns simultaneously

                                                                • -
                                                                -
                                                                  -
                                                                • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                                                • -
                                                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight

                                                                • -
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences

                                                                • -
                                                                • Liaise with stakeholders across other teams to resolve discrepancies

                                                                • -
                                                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Support campaign target list generation, analyses, measurement and reporting

                                                                • -
                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                What will you need to succeed?

                                                                -
                                                                  -
                                                                • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                                                                • -
                                                                • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns and business.

                                                                • -
                                                                • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                                                • -
                                                                • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                                                • -
                                                                • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                                                • -
                                                                • -

                                                                  The candidates must have relevant experience in the following areas:

                                                                  +

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  +

                                                                  +

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  +

                                                                  +

                                                                  Salary Range:

                                                                  76,000/76 000 - 125,000/125 000

                                                                  +

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  +

                                                                  Posting End Date:

                                                                  01/02/2024
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00089806?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-05T06:49:02.367Z,False,0,6,54,https://talenthub.vectorinstitute.ai/jobs/303083873-senior-data-analyst-at-sun-life-financial,,expired,2024-01-29T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c2ad0a2c-909e-4622-beda-300ec01a17b1,301109156,BMO Financial Group,"Risk Analyst, Summer 2024 (Co-op/Internship) – 4 Months",on_site,"Ontario, Canada",2024-01-18T06:25:01.536Z,"
                                                                +

                                                                Application Deadline:

                                                                02/11/2024

                                                                +

                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                +

                                                                +

                                                                Our student experience programming is designed to integrate you into Team BMO from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO Social Squad student-led activities, BMO U corporate learning platform, and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                +

                                                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Students who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                +

                                                                +

                                                                By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                +

                                                                +

                                                                +

                                                                Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                  -
                                                                • Knowledge of Inbound and Outbound campaigns

                                                                • -
                                                                • Knowledge on the data needs for analytics and campaigns

                                                                • -
                                                                • Communication and liaison experience between business, analytics and IT

                                                                • +
                                                                • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                                • +
                                                                • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                                • +
                                                                • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                                • +
                                                                • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                                • +
                                                                • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                                • +
                                                                • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                                                                • +
                                                                • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                • +
                                                                • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                                • +
                                                                • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                                • +
                                                                • Provides information and supports the process for internal and external audits.
                                                                • +
                                                                • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                                • +
                                                                • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                • +
                                                                • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                • +
                                                                • Organizes work information to ensure accuracy and completeness.
                                                                • +
                                                                • Focus may be on a business/group.
                                                                • +
                                                                • Thinks creatively and proposes new solutions.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works mostly independently.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.


                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                                • +
                                                                • Knowledge of risk management metrics, KPIs and KRIs.
                                                                • +
                                                                • Knowledge of industry trends and regulatory requirements for risk reporting.
                                                                • +
                                                                • Product knowledge for the designated business/portfolio.
                                                                • +
                                                                • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                • +
                                                                • Knowledge of reporting & analytics concepts and applications.
                                                                • +
                                                                • Knowledge of risk systems technology.
                                                                • +
                                                                • Specialized knowledge from education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Analyst--Summer-2024--Co-op-Internship----4-Months_R230021870-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2024-02-05T22:20:00.000Z,False,0,10,109,https://talenthub.vectorinstitute.ai/jobs/301109156-risk-analyst-summer-2024-co-op-internship-4-months-at-bmo-financial-group,,expired,2024-01-18T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +5d68f1d1-62f2-43f0-b83d-4b9c765f75f7,217086529,Invision AI,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2023-04-20T21:01:40.454Z,"

                                                                Please note: Invision AI is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023. For event registration, click here

                                                                About Us
                                                                Our mission is to see and understand the world. Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space.

                                                                +

                                                                We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                                                We are looking for a motivated and skilled Machine Learning Engineer to join our team in Toronto.

                                                                +
                                                                  +
                                                                • Deep knowledge and experience with Machine Learning algorithms, especially for object detection and classification. Experience in object tracking is a plus.
                                                                • +
                                                                • Good coder in Python; willing to go through rigorous code reviews
                                                                • +
                                                                • Clear and concise communicator
                                                                • +
                                                                • Find solutions that are pragmatic; realize that cutting-edge methods from literature are risky in terms of how well they work and often not necessary to complete a task
                                                                - +

                                                                Job Description:

                                                                +

                                                                You will be in charge of the following tasks:

                                                                +
                                                                  +
                                                                • Design and implement solutions in python; verify and test, go through MR process
                                                                • +
                                                                • Review other people’s code and give feedback
                                                                • +
                                                                • Participate in daily standup and other team meetings
                                                                • +
                                                                • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                                                • +
                                                                • Occasionally annotate data - Design and implement solutions in python; verify and test, go through MR process
                                                                • +
                                                                • Review other people’s code and give feedback
                                                                • +
                                                                • Participate in daily standup and other team meetings
                                                                • +
                                                                • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                                                • +
                                                                • Occasionally annotate data
                                                                -

                                                                -

                                                                Unique Requirements

                                                                +

                                                                Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space. We have developed a number of unique technical innovations incorporated into a central AI platform. We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                                                +

                                                                As a company, we distinguish ourselves by taking an integrated hardware-software approach throughout all our products as we constantly iterate between sensors (cameras, LiDAR, radar), their geometries and the associated vision and artificial intelligence algorithms. This has consistently allowed us to achieve industry-leading accuracy and reliability. We build lightweight, cost-effective, edge solutions: we locate compute nodes close to the sensors (as opposed to in the cloud) and leverage distributed compute and wireless transmission where needed.

                                                                +

                                                                We enjoy finding principled and practical solutions that mix computer vision, machine learning and software engineering.

                                                                ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://www.invision.ai,,,2023-05-20T21:02:00.000Z,True,33,0,476,https://talenthub.vectorinstitute.ai/jobs/217086529-machine-learning-engineer-at-invision-ai,,expired,2023-05-08T21:01:00.000Z,admin,Startup (1-19),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, +81019ab0-51d4-4f47-aca3-0c04b0866053,217073698,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-04-20T17:24:02.615Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                The TD Securities Chief Data Office (TDS-CDO) aims to operate, organize, govern and monetize TDS data assets. This is achieved through four strategic pillars:

                                                                +
                                                                  +
                                                                • Make Data Accessible
                                                                • +
                                                                • Secure & Govern Data
                                                                • +
                                                                • Create Tools & Enable Others to Use Them
                                                                • +
                                                                • Derive Value from Data
                                                                • +
                                                                +

                                                                In doing so, the TDS-CDO enables the dealer with a focus on:

                                                                +
                                                                  +
                                                                • Grow: Service clients, monetize data & allocate resources
                                                                • +
                                                                • Protect: Manage Risk & Regulatory Compliance
                                                                • +
                                                                • Standardize: Achieve technology & operational efficiencies
                                                                • +
                                                                • Develop: Data Driven Culture
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                About this Role

                                                                +

                                                                Reporting to the AVP, Data Governance in the Chief Data Office, the Data Steward I will be responsible to support the implementation of data governance and related data management activities for TD Securities.

                                                                +

                                                                Job Accountabilities:

                                                                +
                                                                  +
                                                                • Support the TDS-CDO in accordance with the Enterprise Data Policy, Standards and Strategy
                                                                • +
                                                                • Provides data governance expertise and executes data governance activities
                                                                • +
                                                                • Contribute to various operational activities and processes as assigned
                                                                • +
                                                                • Be knowledgeable of data management practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
                                                                • +
                                                                • Assist and help drive the automation of the Data management practices including metadata, data lineage, authoritative sources, data usage, data quality rules, etc.
                                                                • +
                                                                • Be knowledgeable of data management tools related to metadata, lineage, data quality, etc. (e.g.: Collibra, Alation, Informatica, Ataccama, etc.)
                                                                • +
                                                                • Advises and consults with projects related to implementation of data management practices during system development (data impact analysis, quality controls, data lineage, etc.)
                                                                • +
                                                                • Develop and/or prepare applicable business metrics / standard / ad hoc reporting in collaboration with partners and stakeholders for data governance/management area to help inform or support decisions as appropriate
                                                                • +
                                                                • Conduct internal and external research projects; support the development / delivery of presentations / communications to management or broader audience
                                                                • +
                                                                • Conduct reporting and / or meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies /
                                                                • +
                                                                • Support the development of presentations /communications and dissemination of information
                                                                • +
                                                                • Coordinate relevant processes /meetings /events that impact the TDS-CDO’s practices
                                                                • +
                                                                • Understand department objectives and contribute by recommending appropriate action to management based on analysis and review of results within assigned scope
                                                                • +
                                                                • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist
                                                                • +
                                                                • Acquire and apply expertise in the discipline, provide guidance, assistance and direction to others
                                                                • +
                                                                • Adhere to internal policies/procedures and applicable regulatory guidelines
                                                                • +
                                                                • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
                                                                • +
                                                                • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
                                                                • +
                                                                • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                Education/Accreditations:

                                                                +
                                                                  +
                                                                • Undergraduate degree or technical certificate and/or
                                                                • +
                                                                • 5+ years relevant experience
                                                                • +
                                                                +

                                                                Other Qualifications/Skills/Experience:

                                                                +
                                                                  +
                                                                • Solid knowledge of data governance/data management practices, enterprise data policy, standards &strategy
                                                                • +
                                                                • Solid knowledge of LOB data strategy, data risk management, and data life cycle management
                                                                • +
                                                                • Knowledge of current and emerging competitor and market trends
                                                                • +
                                                                • Skill in using analytical software tools, data analysis methods and reporting techniques
                                                                • +
                                                                • Skill in using computer applications including MS Office
                                                                • +
                                                                • Ability to communicate effectively in both oral and written form
                                                                • +
                                                                • Ability to work collaboratively and build relationships
                                                                • +
                                                                • Ability to work successfully as a member of a team and independently
                                                                • +
                                                                • Ability to exercise sound judgement in making decisions
                                                                • +
                                                                • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                                • +
                                                                • Ability to handle confidential information with discretion
                                                                • +
                                                                • Knowledge of Basel Data Management Framework is desirable
                                                                • +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #LI-Post
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-20T18:03:55.491Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/217073698-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,expired,2023-04-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +4634ad35-981e-4381-8e7f-46b33dbcac39,217075575,TELUS,"Manager, Data Engineering (MDM)",on_site,"Ontario, Canada",2023-04-20T17:42:03.325Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +

                                                                +

                                                                Our team and what we’ll accomplish together

                                                                +

                                                                +

                                                                We are searching for a talented candidate to become our team’s Manager, MDM & Business Operations Insights. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps of the enterprise data engineering team. The portfolio will focus specifically on the Master Data Management (MDM) workstream while also driving continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, batch and real-time data ingestion, and addressing technical debt. Our team is a cloud first team and leverages the latest technologies to fuel our mission of driving value for TELUS via data enablement.

                                                                +

                                                                +

                                                                What you’ll do

                                                                +

                                                                +

                                                                At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

                                                                +

                                                                +

                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +
                                                                • Lead a team of talented data Analysts, Engineers and Architects to drive the modernization of our data platforms
                                                                • +
                                                                • Foster internal and external stakeholder relationships, including managing senior executive participants
                                                                • +
                                                                • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
                                                                • +
                                                                • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings
                                                                • +
                                                                • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
                                                                • +
                                                                • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
                                                                • +
                                                                • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
                                                                • +
                                                                • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
                                                                • +
                                                                • Support the annual strategic and financial planning process
                                                                • +
                                                                • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                                                • +
                                                                • Mentor, lead, and support a diverse and very talented team of data professionals
                                                                -

                                                                -

                                                                What will be nice to have?

                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                +

                                                                  -
                                                                • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g. SAS RTDM)

                                                                • -
                                                                • General programming language knowledge and basic application design

                                                                • -
                                                                • Some technical writing, report analysis and PowerPoint presentation creation

                                                                • +
                                                                • You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction
                                                                • +
                                                                • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
                                                                • +
                                                                • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
                                                                • +
                                                                • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
                                                                • +
                                                                • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
                                                                • +
                                                                • You have experience with cloud migration projects, agile methodologies, and DevOps practices
                                                                • +
                                                                • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                                                • +
                                                                • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                                                • +
                                                                • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                                                • +
                                                                • You are flexible, adaptable and embrace ongoing change
                                                                • +
                                                                • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                                                                • +
                                                                • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam), Kafka, MDM, IICS & PowerCentre ETL
                                                                • +
                                                                • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectiveness
                                                                -

                                                                -

                                                                What\'s In It For You?

                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid # LI- Remote

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • -
                                                                • A common sense dress code, where you decide how you dress based on your day

                                                                • -
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • +
                                                                • Bachelor of Computer Science or equivalent
                                                                • +
                                                                • 5+ years of progressive and relevant work experience with enterprise data
                                                                • +
                                                                • PMP certification is an asset
                                                                • +
                                                                • Experience with the data offerings in the Google Cloud Platform
                                                                • +
                                                                • Experience in the telecommunications industry
                                                                • +
                                                                • Excellent communication skills and ability to lead a large team
                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                20/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-term-_JR00074404?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/192003375-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-02-02T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9d2390ba-b490-4a35-b24c-299c568ef08c,191128827,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-01-30T17:41:02.119Z,"
                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-%28MDM%29-ON/568709417/,feed-importer@jobboard.io,,,,2023-05-20T18:42:04.383Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/217075575-manager-data-engineering-mdm-at-telus,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +8e14e403-e88b-489e-8643-f48aa8e9ea63,221079987,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-05-01T17:41:01.797Z,"

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                Job Description:

                                                                -

                                                                At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                -

                                                                -

                                                                Role Summary:

                                                                -

                                                                -

                                                                Join a team that is growing the Data and Analytics capabilities of Group Retirement Services (GRS) at Sun Life Canada. As a member of the GRS Strategy, Data & Analytics team, you will play a pivotal role in building out data products and maintaining data capabilities to enrich our client experience and arm internal stakeholders with data & analytic solutions to help drive informed decisions.

                                                                -

                                                                -

                                                                As a Senior Data Engineer, you will be responsible for leveraging our Big Data (EDL) capabilities to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of data and analytics professionals, Senior Data Engineer will lead the entire lifecycle of data in GRS business – from ETL to mining insights from the data, to making data accessible and useful for data analysts in the team to build analytics services and self-serve solutions for our stakeholders.

                                                                +

                                                                Sr Data Analytics Consultant, Group Disability

                                                                -

                                                                Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have relevant experience in the following areas:

                                                                +

                                                                Reporting to the Assistant Vice President, Group Disability Western Canada and National Mental Health Solutions, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for Group Disability Operations and our clients.

                                                                -

                                                                Data Management – i.e. design, development, integration

                                                                -

                                                                Data Discovery – i.e. scoping new data sources, understanding and leveraging current data sources

                                                                -

                                                                Data Governance - i.e. manage data catalogue, interpret metadata

                                                                -

                                                                Communication and liaison experience between business, data analysts and IT

                                                                +

                                                                Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our Group Disability stakeholders.

                                                                -

                                                                What will you do?

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Design and engineer highly scalable business data models that provides accurate and reliable data to support analytics, reporting, dashboards, and marketing campaigns.

                                                                • -
                                                                • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing the alignment of source data platform

                                                                • -
                                                                • Lead the research and evaluation of new data sources, both internal and external, and implement processes and logic to integrate into GRS data model

                                                                • -
                                                                • Support data analysts with data discovery and rapid assembly of large datasets for analytics & reporting consumption

                                                                • -
                                                                • Analyze data to support model development and to identify potential areas for improvement

                                                                • -
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Oversee governance framework and strengthen data security by setting up user control and documenting data models, architectures and algorithms

                                                                • -
                                                                • Ensure that data requests fall within the scope of the Master GRS Privacy Impact Assessment and any potential Model End User Compliance guidelines are adhered to

                                                                • +
                                                                • Work directly with Group Disability operations leaders, consultants and clinicians; Group Benefits Market Development, along with data engineers, business data analysts, and data scientists in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts
                                                                • +
                                                                • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques
                                                                • +
                                                                • Lead and drive data modelling and analysis related to disability claims experience in support of Group Disability and related projects including setting up data for test and learn initiatives for research and development of innovation in disability management
                                                                • +
                                                                • Lead consultants in the team on various analytics projects
                                                                • +
                                                                • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation.
                                                                • +
                                                                • Turn complex data into easy to understand visual insights that are aligned to business objectives
                                                                • +
                                                                • Enable visual storytelling through Tableau and visual analytics tools
                                                                • +
                                                                • Coach and grow new and interested community of developers and champions within the organization

                                                                -

                                                                What do you need to succeed?

                                                                -
                                                                  -
                                                                • 5+ years of hands-on experience working with data; in-depth knowledge in engineering data products for analytical model (i.e. Python, SQL, SAS, etc.)

                                                                • -
                                                                • 3+ years of hands-on experience working on Cloud Platforms (AWS, Azure, etc.) with various data processing and analytical tools such as Hive SQL

                                                                • -
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., engineering, computer science) or equivalent experience

                                                                • -
                                                                • Experience leading complex data projects with problem solving mindset

                                                                • -
                                                                • Demonstrated ability to exchange ideas and convey complex information clearly and concisely

                                                                • -
                                                                • Proven ability to lead and drive projects and assignments to completion

                                                                • -
                                                                • Knowledge in fast evolving trend of data science concept and techniques

                                                                • -
                                                                • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

                                                                • -
                                                                +

                                                                What will you need to succeed?

                                                                -

                                                                Unique Requirements

                                                                +

                                                                Education and Experience:

                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +
                                                                • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                                                                • +
                                                                • 3-5 years of experience in:
                                                                • +
                                                                • SQL and other languages used in data manipulation
                                                                • +
                                                                • Tableau or other BI development experience and designing dashboards / decision enablement tools
                                                                • +
                                                                • Experience leading analytics projects with stakeholders
                                                                • +
                                                                • Data warehousing principles and experience in design and/or development using dimensional modeling principles
                                                                • +
                                                                • Good Understanding of ELT/ETL processes and Microsoft SQL Server Analysis Services or equivalent technologies
                                                                • +
                                                                • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data
                                                                • +
                                                                • Visual design expertise with a solid understand of the best practices around dashboard and visual perception.
                                                                • +
                                                                • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                                                                • +
                                                                • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                                                                • +
                                                                • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                                                                • +
                                                                • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership

                                                                -

                                                                What will be nice to have?

                                                                +

                                                                What will be good to have?

                                                                  -
                                                                • Group retirement / pension, financial products, or relevant industry experience desired

                                                                • -
                                                                • Strong data visualization techniques using tools like Tableau and Power BI or equivalent

                                                                • -
                                                                • Experience with optimization and tuning of large data extracts for Tableau

                                                                • +
                                                                • Experience with AWS Data Lake
                                                                • +
                                                                • Experience with R, Python, AWS Sage Maker
                                                                • +
                                                                • Experience with Agile or design-driven development of analytics applications
                                                                • +
                                                                • PMP and/or Scrum Master certification
                                                                • +
                                                                • Experience with optimization and tuning of large data extracts for Tableau
                                                                • +
                                                                • Tableau desktop and server certification
                                                                • +
                                                                • Knowledge of Insurance or Financial Services industry

                                                                -

                                                                What’s in it for you?

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data
                                                                • +
                                                                • 20 days vacation per year and an innovative sabbatical program
                                                                • +
                                                                • A friendly, collaborative and inclusive culture
                                                                • +
                                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                                • +
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family
                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security
                                                                • +
                                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                @@ -56274,554 +55918,436 @@ Comfortable with tackling very loosely defined problems and thrive when working

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                20/03/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00075120?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/191128827-senior-data-engineer-at-sun-life-financial,,expired,2023-01-30T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -280f5fe6-f894-4ef9-bbfd-5ad2e4da64fa,192003404,Shopify Inc.,Data Science Manager - Commercial Analytics,on_site,"Ontario, Canada",2023-02-02T17:42:03.542Z,"

                                                                About the role

                                                                -

                                                                Commercial Analytics improves the decision making process in the Commercial, Revenue, and Support organizations with data. We do this by enhancing the effectiveness of data measurements, providing objective analytical insights, building scalable data solutions, and maturing the data literacy in our organization. Our craft requires both good technical skills and strong business acumen. It is both an applied science and arts discipline. Currently we’re in search of a Data Science Manager. In this role you’ll be responsible for…

                                                                -
                                                                  -
                                                                • Unlocking the value from data to create better human experience in Commerce
                                                                • -
                                                                • Provide BI, data insights and decision support to empower the core business operation in the Commercial group including Revenue, Merchant Success, and Support
                                                                • -
                                                                • Provide the Core analytics capability with a bias towards building innovation solutions that can scale across different user groups in our 5000+ business unit
                                                                • -
                                                                • Lead a multidisciplinary team of analysts and data scientists to enable the business with strategic data insights to operate more effectively and efficiently.
                                                                • -
                                                                -

                                                                This work will impact the top line (growth/sales) of the company since the work helps identify areas of opportunity for our Sales org.

                                                                -

                                                                ",,https://www.shopify.com/ca/careers/data-science-manager-commercial-analytics-remote-us-or-canada_09a94d87-fdb3-4d27-8f3f-00c8ecd556bd,feed-importer@jobboard.io,,,,2023-02-24T17:39:00.000Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/192003404-data-science-manager-commercial-analytics-at-shopify-inc,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -428eca0c-283d-4ab1-ae36-513f66c9b5b4,203172185,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.866Z,"

                                                                +

                                                                Posting End Date:

                                                                18/05/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analytics-Consultant_JR00079744?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-22T16:15:02.812Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/221079987-senior-analytics-consultant-at-sun-life-financial,,expired,2023-05-01T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +bf97dc14-f65e-4608-83c1-11da933f8fe6,221076221,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:02.123Z,"

                                                                -

                                                                Requisition ID: 169022

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 177545

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                What you’ll be doing…

                                                                -

                                                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

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                                                                Is this role right for you? In this role you will:

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                                                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
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                                                                  Term: September - December 2023
                                                                  Application Deadline: 05/19/2023

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                                                                  There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

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                                                                  The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

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                                                                  Is this role right for you? In this role, you will:

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                                                                  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                                                  • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                                                  • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                                                  • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                                                  • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                                                  • Present results to business line stakeholders and help implement real data-driven changes
                                                                  • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                                                  • Experiment & learn!
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                                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

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                                                                  • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                  • Strong knowledge of banking products and their data lifecycle
                                                                  • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                  • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                  • AML/ATF experience or analytic knowledge
                                                                  • Data architecture experience in cloud infrastructure
                                                                  • Bachelor's degree in business, finance, or engineering
                                                                  • Strong experience with data modelling and data analysis
                                                                  • Minimum of 3 years of relevant experience in AML/ATF
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                                                                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

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                                                                    • You are currently enrolled in post-secondary education.
                                                                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                    • You have knowledge/experience in:
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                                                                    Please note that this is a contract position

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                                                                    • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
                                                                    • Big Data/Cloud ecosystem (e.g., GCP)
                                                                    • Experimental design, statistical analysis, machine learning
                                                                    • Python programming
                                                                    • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                                                    • UNIX tools and shell scripting
                                                                    • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                    • Visualization tools like PowerBI
                                                                    • Kubernetes
                                                                    • Git Workflows (Pull Request, Code Review, Branching)
                                                                    • +
                                                                    +

                                                                    +

                                                                    What’s in it for you?

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                                                                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
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                                                                    How do I apply?

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                                                                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

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                                                                    +
                                                                    1. Complete your PLUM Profile here and save as a screenshot.
                                                                    2. Complete a short one-way video interview here.
                                                                    3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                    4. +

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                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-17T15:45:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/203172185-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Model Risk Reporting",on_site,"Toronto, ON",2023-03-13T17:24:03.538Z,"
                                                                +

                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,12,59,https://talenthub.vectorinstitute.ai/jobs/221076221-velocity-data-scientist-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0061e392-e4de-444d-9c16-1f25a31d998f,226183732,Scotiabank,"Senior Analyst, Reporting & Insights",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:04.965Z,"

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                                                                +

                                                                Requisition ID: 178001

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

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                                                                Contributes to the overall success of the Omni Channel Development team, taking effective ownership of developing data integration strategies, and creating various reporting streams that generate value-added actionable insights informing Retail Banking business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                The Sr. Analyst, Reporting & Insights, will play a key role in supporting the expansion of our reporting framework, improving our analytical processes, and sharing insights to multiple stakeholders and will be responsible for delivering value-added analytics aimed at creating sustainable business growth focusing on reporting, Insights and data visualization.

                                                                +

                                                                Is this role right for you? In this role, you will:

                                                                +

                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

                                                                +

                                                                • Design and create reports, using data to analyze and improve our understanding of branch staff and customer behaviours, and monitoring the impact of strategic decisions and initiatives

                                                                +
                                                                • Design and develop new reports to support management including but not limited to - visualization tools such as Tableau & PowerBI, complex data and logic tools, SAS, SQL, and self-service dashboards
                                                                • Analyze data and evaluate results, identify emerging business issues, and prepare strategic recommendations for management
                                                                • Continuously acquire and enhance knowledge of business/product strategies, portfolio management principles, branch processes and procedures, regulatory requirements, and advanced analytical tools/methodologies in order to best provide business solutions
                                                                • Validating data extraction to ensure accuracy and accountability of reporting and insights.
                                                                • +
                                                                +

                                                                • Automate any recurring reports and visualizations to support key areas of the business

                                                                +

                                                                • Support the Senior Manager in the development, execution and management of reporting suites

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                                                                • Lead the automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of analysis
                                                                • Synthesize multiple data sources and research insights that capture human insights, convey ideas, and provoke new growth opportunities

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                                                                • Present research insights that are actionable, compelling, and connected to the business strategy
                                                                • Partner with broader team members as subject matter expert to support enterprise business program priorities and strategic objectives
                                                                • Perform automation of data extraction, transformation and reporting processes to increase efficiencies

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                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                +

                                                                • Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk

                                                                +

                                                                • Champion a high performance environment and contributes to an inclusive work environment

                                                                +

                                                                +

                                                                Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                +

                                                                +

                                                                • University degree in Business Analytics, Statistics, Mathematics, Finance, Computer Science, Business Management or a related discipline
                                                                • Advanced SAS and/or SQL experience. Python/R are also preferred
                                                                • Expertise in data visualization tools such as Power BI
                                                                • Excellent mathematical, analytical and problem-solving skills and ability to interpret complex data, and be able to conclude meaningful insights. Curious and passionate about data, data visualization and introducing automation
                                                                • Excellent business acumen and strategic thinking skills
                                                                • Excellent communication and presentation skill (written and verbal) is essential
                                                                • Understanding of Canadian retail banking
                                                                • Ability to work well both independently and with teams also a Self-starter and must be comfortable working in an environment with tight deadlines and multiple priorities. Collaborative team player, Flexible, motivated, and results oriented

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Reporting-&-Insights-ON-M5H1H1/570290117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-23T21:29:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226183732-senior-analyst-reporting-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Reporting-&-Insights-ON-M5H1H1/570290117/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +4c4bf665-6cf8-42f1-8e9b-f60cffe1c920,222290762,TD Bank Group,Analytics and Insights Co-op,on_site,"Toronto, ON",2023-05-04T17:24:04.388Z,"

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                Department Overview

                                                                -
                                                                Model Risk Management (MRM) group is responsible for establishing and implementing enterprise model governance, risk and control strategies and policies. We oversee and ensure compliance with MRM requirements ensuring that the bank has an effective risk management program within its risk appetite. If you want to be a brand ambassador who can help strive efficiencies for the bank, then join our team and make an impactful contribution to TD and your own success.
                                                                +
                                                                +

                                                                TD Direct Investing is Canada’s largest direct investing brokerage, empowering 2 million self-directed investors and traders with its full spectrum of powerful solutions and innovative tools to manage their investments with ease and confidence. As a member of the TD Direct Investing Product, Strategy & National Office team, you have the opportunity to work with results-oriented, curious, innovative, and adaptable people who share your passion to help our clients, and one another, to succeed.

                                                                +

                                                                +

                                                                Job Description

                                                                -The Senior Analyst, Model Status Communications and Reporting, is an experienced analyst who can lead effective communication with a diverse set of stakeholders to report and obtain information on updated Model Risk Statuses. The individual will be responsible for compiling updates and challenging information received for monthly reporting. The ability to work efficiently and communicate effectively will be one of the keys to success. The incumbent will also lead other ongoing reporting processes including compilation of inventory for regulators, key performance indicators and validation cycle time reports. This position reports into the Senior Manager of Model Risk Management in Risk Management.
                                                                +

                                                                Reporting to Senior Manager, Strategic Insights & Analysis, and working alongside a team of analysts, this role will help drive and support TD Direct Investing’s strategic client engagement and acquisition initiatives in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights and decision support to various business initiatives, acquiring data in support of such work, as well as helping to develop robust processes and procedures, and executing thereon.

                                                                +

                                                                Key accountabilities include:

                                                                +
                                                                • Perform and leverage DI’s client segmentation to create and support targeted organic growth initiatives, client engagement tactics, and business value proposition enhancements

                                                                +
                                                                  +
                                                                • Prepare structured data analyses, often in time-sensitive circumstances, and be able to summarize key insights into a coherent, concise communication suitable for executive consumption.

                                                                • +
                                                                • Collaborate with partners in Data & Analytics teams across Wealth, Marketing, and Phone Channel to understand complex business issues and develop innovative data-driven insights and solutions.

                                                                • +
                                                                • Support the Senior Manager, Strategic Insights & Analysis in the execution and control of regular reporting, campaign fulfillment, and non-standard pricing processes, ensuring proper documentation.

                                                                • +
                                                                • Contribute to a culture of continuous improvement (through process improvements, automation, improved documentation, etc.)

                                                                • +
                                                                +

                                                                Requirements

                                                                  -
                                                                • 5 years of proven experience leading communications and engagement activities in large, complex enterprise programs, preferably related to Model Risk Management or closely related field, in a large bank, consulting firm or regulator is preferred.
                                                                • -
                                                                • Model risk management experience is preferred (model governance, model risk audit, model validation, model development), though candidates with other experience are most welcome to apply but should connect their backgrounds to the description above.
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                                                                • Programming skills are an asset, though not essential (SQL, VBA, Python, etc.)
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                                                                • Excellent interpersonal and communication skills, written and oral
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                                                                • Must be detail oriented and organized while working with the third party/cross-functional dependencies and tight deadlines pressure.
                                                                • -
                                                                • Ability to navigate relationships and collaborate with stakeholders across the enterprise
                                                                • -
                                                                • Ability to understand technical knowledge and transform it into digestible, simple, and clear communications
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                                                                • Strong organizational and project management skills, with the ability to work in a fast paced environment and manage multiple deadlines and competing priorities
                                                                • +
                                                                • Knowledge of and familiarity or hands-on experience with self-directed investing platforms

                                                                • +
                                                                • Experience with data extraction, manipulation, and visualization tools (e.g. SQL, Python, Alteryx, Tableau) preferred

                                                                • +
                                                                • Familiarity with Excel and PowerPoint, including experience developing business documents and leadership presentations with clear, compelling communications

                                                                • +
                                                                • Ability to communicate clearly and concisely

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                #LI-Remote
                                                                #LI-Onsite
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                                                                Hours

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                                                                37.5
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                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +
                                                                +

                                                                Early Talent Requirements

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-16T17:29:06.218Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/204323269-senior-analyst-model-risk-reporting-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6fae9bfc-afac-4efd-96bc-931992e7e474,203174067,BenchSci,Senior Machine Learning Engineer - NLP (Remote),full,"Toronto, Ontario Remote",2023-03-09T17:39:07.531Z,"
                                                                -
                                                                We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.
                                                                -

                                                                -
                                                                Reporting to the Engineering Manager, ML, you'll apply your domain expertise to design and build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                +
                                                                  +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                • +
                                                                -
                                                                -

                                                                You Will:

                                                                -
                                                                    -
                                                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • -
                                                                  • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                                                                  • -
                                                                  • Improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • -
                                                                  • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                                                                  • -
                                                                  • Own the solutions and long-term technology investments to drive innovation at BenchSciWork cross-functionally with different team members including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                                                                  • -
                                                                  • Contribute to sprint planning, estimation, and design/code reviews
                                                                  • -
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • -
                                                                  • Establish and apply best industry practices
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                You Have:

                                                                -
                                                                    -
                                                                  • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                                                                  • -
                                                                  • Experience with Python and programming fundamentals; extensive experience with NLP and PyTorch
                                                                  • -
                                                                  • Experience with designing, building, and evaluating robust and scalable production-ready ML models
                                                                  • -
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • -
                                                                  • Experience with data manipulation and processing, such as SQL or pandas
                                                                  • -
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • -
                                                                -
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                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
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                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
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                                                                A $2000 CAD* Annual Learning & Development budget
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                                                                A $1000 CAD* home office set-up budget
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                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-03-16T17:44:02.807Z,False,0,8,44,https://talenthub.vectorinstitute.ai/jobs/203174067-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8,expired,2023-03-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -01c82e1a-848a-49c1-a79c-d20b4bfa0c69,202112585,CIBC,"Data Scientist, Pricing",on_site,"Ontario, Canada",2023-03-06T17:06:03.618Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                Start Date

                                                                +
                                                                – Fall

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                Job Description

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18300632/analytics-and-insights-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:23:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/222290762-analytics-and-insights-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300632/analytics-and-insights-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +5d4d19a1-d1a3-4328-84b0-0c1434f2475d,226986710,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-05-18T16:15:03.974Z,"
                                                                +

                                                                +

                                                                +

                                                                Vision and Core Values

                                                                -

                                                                What you\'ll be doing

                                                                -

                                                                As a Sr. Consultant, Pricing, you will be looking at and optimizing our pricing, in particular on our RESL businesses, working with stakeholders across our team, businesses, and partner groups, in particular our Finance and Treasury teams. You will strive to ensure that our growth, revenue, and client experience are appropriately balanced, with an overall objective of maximizing our business performance.

                                                                +

                                                                OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                +

                                                                The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                +
                                                                  +
                                                                • Investing to earn outstanding returns with due regard for risk
                                                                • +
                                                                • Partnering with like-minded investment managers
                                                                • +
                                                                • Providing high quality service to our members and employers
                                                                • +
                                                                • Delivering value for money
                                                                • +
                                                                • Building a culture of excellence and pride in OMERS
                                                                • +
                                                                +

                                                                OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                -

                                                                As part of Simplii’s data and analytics team within the Direct Financial Services line of business and Capital Markets business unit, you will be a key participant in building the bank of the future. We use a wide range of capabilities, spanning from business intelligence to machine learning, to grow our businesses with data. You will work alongside a group of knowledgeable professionals and technology partners in a fast-paced and collaborative environment with an overarching mandate to meet our growth objectives.

                                                                +

                                                                Value Proposition

                                                                +

                                                                We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                +

                                                                Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                -

                                                                How you\'ll succeed

                                                                +

                                                                Responsibilities:

                                                                  -
                                                                • Familiarity with finance and treasury: Working with Treasury funding information, you are comfortable with drawing insights from it

                                                                • -
                                                                • Strong analytical knowledge: Integrating and manipulating a variety of data sources and jointly optimizing growth and revenue, while assessing performance and future opportunities

                                                                • -
                                                                • Organization and attention to detail: You have the discipline and communication skills to manage complex initiatives and meticulously ensure consistency in a wide ranging set of analyses

                                                                • -
                                                                • Stakeholder management: Working with partners in Simplii and across the bank to continuously stay on top of a changing business environment

                                                                • +
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                • +
                                                                • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                • +
                                                                • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                • +
                                                                • Automate manual processes and optimize data delivery
                                                                • +
                                                                • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                • +
                                                                • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                • +
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • +
                                                                • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                • +
                                                                • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support

                                                                -

                                                                WHO YOU ARE

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • -
                                                                • You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                                                                • -
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • -
                                                                • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                                                • -
                                                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • -
                                                                • You can demonstrate experience in technical knowledge – SQL, Python, and solid knowledge of data sourcing, manipulation and optimization.

                                                                • -
                                                                • You have a quantitative background with a PhD in Computer Science, Economics, Operations Research or equivalent experience. Working experience in a similar role would be beneficial

                                                                • +
                                                                • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                • +
                                                                • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                • +
                                                                • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                • +
                                                                • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                • +
                                                                • Deep proficiency in SQL, Python, and similar languages
                                                                • +
                                                                • Good understanding of investment products
                                                                • +
                                                                • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                • +
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • +
                                                                • Investment data modeling experience using the Kimball method is an asset
                                                                • +
                                                                • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                • +
                                                                • Data governance experience is an asset
                                                                • +
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field

                                                                -

                                                                What CIBC offers

                                                                -

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +

                                                                And you demonstrate:

                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                • +
                                                                • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                • +
                                                                • A teammate mentality coupled with servant leadership
                                                                • +
                                                                • A sense of urgency, optimism, and a desire to deliver excellence
                                                                • +
                                                                • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                • +
                                                                • Strong orientation towards strategy, change, and results
                                                                • +
                                                                • A continuous improvement mindset
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4567?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-23T21:29:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/226986710-data-engineer-finance-data-at-omers,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +96fefcdf-7d65-454a-b4c5-0eff972e25ac,222290804,TD Bank Group,Risk Management Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:07.388Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                -

                                                                What you need to know

                                                                +

                                                                Department Overview

                                                                +
                                                                +

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                +

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Leadership talks with key Leaders from across the organization
                                                                • +
                                                                • Lunch and Learns on topics such as Innovation
                                                                • +
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                +

                                                                For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                                                                +

                                                                TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Risk Management is a key Corporate Function supporting the front-line businesses within TD with over 1,800 employees in offices in Canada, United States, UK and Singapore. We partner internally with many different areas of TD as well as our business partners to ensure we exceed our client’s expectations, and employees to focus on a positive employee experience. We work externally with regulators to align with industry standards and benchmark ourselves against best practices.

                                                                +

                                                                As a student part of the TD Risk Management Co-op program you will have the opportunity to join different development workshops, seminars and lunch and learns. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                                                                +

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-33 Yonge Street, 7th

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Business Objectives, Cost Consulting, Machine Learning, Price Setting, Pricing Analysis
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Pricing_2303456?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-16T17:11:05.286Z,False,0,12,36,https://talenthub.vectorinstitute.ai/jobs/202112585-data-scientist-pricing-at-cibc,,expired,2023-03-06T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -6787fc86-9f94-41d1-9923-4e9c7304d859,204199151,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-03-12T17:12:01.768Z,"
                                                                -

                                                                Address:

                                                                33 Dundas Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                                                -

                                                                -

                                                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                                                +

                                                                Requirements

                                                                +
                                                                  -
                                                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • -
                                                                • Focus may be on a business/group.

                                                                • -
                                                                • Thinks creatively and proposes new solutions.

                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • -
                                                                • Works mostly independently.

                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                • +
                                                                • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent
                                                                • +
                                                                • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                                                • +
                                                                • Familiarity with SAS
                                                                • +
                                                                • Relational database SQL skills for data mining, extraction and statistical analysis.
                                                                • +
                                                                • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                                                                • +
                                                                • Dedicated, detail oriented, and an ability to propose creative solutions
                                                                • +
                                                                • Written & verbal communication skills
                                                                • +
                                                                • Quick learner
                                                                • +
                                                                • High degree of personal initiative
                                                                -

                                                                -

                                                                Qualifications:

                                                                +

                                                                Skills that are not required, but considered an asset

                                                                  -
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                                                • -
                                                                • Experience in working with and linking big data sets across multiple sources.

                                                                • -
                                                                • Proficient in Microsoft Office.

                                                                • -
                                                                • Strong analytical and problem-solving skills.

                                                                • -
                                                                • Strong business communication and stakeholder management skills.

                                                                • -
                                                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                                                • +
                                                                • Knowledge of Financial Industry/Risk Management/Retail Credit products
                                                                • +
                                                                • Experience using Business Intelligence Reporting tools such as SAP Business Objects, Cognos or Tableau
                                                                • +
                                                                • Microsoft Visio would be an asset
                                                                • +
                                                                • Knowledge of R and HIVE
                                                                • +
                                                                • Knowledge of Basel Capital Frameworks Quality Center (HP ALM) Testing tool
                                                                • +
                                                                • MS Project
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                +

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                +
                                                                  +
                                                                • This position is an 4-month work term and will commence Sept 5th – Dec 22nd, 2023
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                +

                                                                LOCATION

                                                                +
                                                                • Hybrid work model, centered in Toronto. TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                +

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                Start Date

                                                                +
                                                                – Fall

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/18306691/risk-management-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:27:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/222290804-risk-management-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306691/risk-management-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +74c08a73-2913-4225-8605-4af69bc7f0a4,226183733,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.118Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 174805

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                About the Team:
                                                                At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                                                                +

                                                                Position Highlights:
                                                                The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                                                                +

                                                                Is this role right for you?

                                                                +
                                                                • Produce periodical analytical summary reports for the Research Management team
                                                                • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                                                                • Create and maintain dashboards and reports that can be leveraged by users to find insights
                                                                • Analyze client accounts to identify outreach opportunities and gauge account profitability
                                                                • Work with Research Analysts to improve the format and delivery of their product
                                                                • Understand business processes to analyze, interpret, and advise staff on analytical findings
                                                                • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                                                                • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                                                                • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                                                                • Diligently perform quality assurance and assess operational and reputation risk
                                                                • Monitor and analyze buyside client consumption of the research product
                                                                • Respond to internal and external inquiries on the research product and agreements
                                                                • Issue invoices for research clients and track payments with internal Finance teams
                                                                • +
                                                                +

                                                                Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                +
                                                                • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                                                                • Excellent command of Microsoft Office, with an emphasis on Excel is required
                                                                • Proven experience in SQL and .NET is required
                                                                • Working knowledge of Angular and Python would be an asset
                                                                • Strong problem-solving and analytical skills
                                                                • Excellent written and verbal communication skills
                                                                • Attention to detail and time management skills
                                                                • Ability to produce meaningful results from data
                                                                • Proven experience consolidating and analyzing different data sources
                                                                • Ability to work collaboratively within a cross functional team environment
                                                                • Ability to succeed in a dynamic and fast-paced environment
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T20:13:05.616Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/226183733-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e5a233fb-63e2-4ca8-a3fa-c80877c24997,231447031,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Ontario, Canada",2023-06-01T15:39:02.561Z,"
                                                                +

                                                                Application Deadline:

                                                                06/13/2023

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-16T17:17:02.354Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/204199151-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-03-12T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -28d8411f-988a-49f0-8566-2e1490b0e639,205321390,OMERS,"Data Engineer, Investment Finance",on_site,"Ontario, Canada",2023-03-16T17:42:03.300Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                The Data Engineer, Investment Finance will report to the Manager, Financial Systems & Workflows, Investment Finance and will be responsible for supporting the Investment Finance team through designing, developing, implementing and maintaining the departmental data strategy that capitalizes on low-code solutions to enable robust data, analytics, and reporting, as well as playing a key role in collaborating with the stakeholders to identify data requirements and providing insightful analytic data and visualization solutions. The role requires an understanding of finance and investment data with a keen desire to explore new technologies and implement innovated solutions.

                                                                +

                                                                +

                                                                We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

                                                                +

                                                                The role will sit on the Wealth Data Analytics and Strategy team and support the Global Asset Management Retail Sales and Distribution team with proactive, actionable insights across all Mutual Fund products. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership.

                                                                -

                                                                CORE RESPONSIBILITIES:

                                                                +

                                                                Key Accountabilities:

                                                                  -
                                                                • Develop, implement and the support the Investment Finance data strategy to manage structured and unstructured data that integrates the data into a data solution to support BI solutions, reporting and business processes
                                                                • -
                                                                • Provide innovative data solutions by working with stakeholders and across functional areas to understand and gather data objectives, and identify opportunities for improvement for data analysis, reporting and visualizations
                                                                • -
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, and databases, and to make them accessible for various applications and reporting tools that enable analytics and reporting
                                                                • -
                                                                • Automate manual processes and optimize data ingestion and delivery to support departmental data needs, reporting and business processes
                                                                • -
                                                                • Partner with the Investment Finance Business Analysts to develop reports and PowerBI dashboards
                                                                • -
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • -
                                                                • Work across functional areas (with team members, investment professionals and leaders) to understand and identify data objectives, and provide solutioning that supports analytics, reporting and downstream data requirements
                                                                • +
                                                                • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision
                                                                • +
                                                                • Work with internal clients and diverse stakeholders to understand, track and improve their business objectives, scope and KPIs
                                                                • +
                                                                • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences
                                                                • +
                                                                • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
                                                                • +
                                                                • Improve and automate process using a variety of tools to drive operational efficiency
                                                                • +
                                                                • Manage, prioritize, and respond to ad-hoc requests
                                                                • +
                                                                • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
                                                                • +
                                                                • Assist the retail bank branch channel in campaign performance measurement and increasing productivity of all strategic initiatives
                                                                • +
                                                                • Research, design and implement reporting infrastructure that leads to automated and flexible reporting

                                                                -

                                                                -

                                                                QUALIFICATIONS:

                                                                +

                                                                Qualifications:

                                                                  -
                                                                • Strong experience with data management, investment systems, business intelligence, and reporting technologies
                                                                • -
                                                                • Experience working with complex data structures and developing efficient queries to create calculated fields and data aggregates (5+ years)
                                                                • -
                                                                • Relevant experience in data science and analytics in creating/maintaining investment and financial data models (5+ years)
                                                                • -
                                                                • Proven experience designing and developing dashboards using PowerBI (3+ years)
                                                                • -
                                                                • Proficient in ETL tools (such as Alteryx), cloud-based data platforms/systems (such as Azure, Snowflake), process automation, and standardization
                                                                • -
                                                                • Strong communication skills (written and verbal), with strong team orientation and great customer focus -
                                                                • -
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • -
                                                                • Good understanding of investment and finance products
                                                                • -
                                                                • Data governance experience is an asset
                                                                • -
                                                                • Track of record working in a role that intersects with business and technical analysis to support existing solutions, delivering new solutions, and contributing to investment system implementations and upgrades
                                                                • -
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field
                                                                • +
                                                                • 5-7 years of work experience in Business, Financial industry
                                                                • +
                                                                • 3+ Proven experience working with SQL language and large datasets
                                                                • +
                                                                • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related
                                                                • +
                                                                • Good verbal and written communication skills; able to effectively present analytics data to business users
                                                                • +
                                                                • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process
                                                                • +
                                                                • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
                                                                • +
                                                                • One or More Master\'s Degree in Data Analytics, MBA, CFA, CPA preferred but not required
                                                                • +
                                                                • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
                                                                • +
                                                                • Proficient in visualization tools such as Tableau or Power BI
                                                                • +
                                                                • Experience in running campaigns through design, execution, and performance tracking
                                                                • +
                                                                • A strong passion for data, charts, analysis, trends, and evangelizing data usage

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R230007335?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:41:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/231447031-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,expired,2023-06-01T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a4956530-8e94-4043-865a-62336e18acb5,233912497,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-06-08T15:39:07.186Z,"
                                                                +

                                                                Application Deadline:

                                                                06/29/2023

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Investment-Finance_JR-4607?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-20T17:47:03.917Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/205321390-data-engineer-investment-finance-at-omers,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7213ee2e-bb4b-48f7-83d6-5c12382dfad6,210217845,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-03-30T17:06:03.566Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                -

                                                                Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                                                                -

                                                                -

                                                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                                                -

                                                                -

                                                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                                                -

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                -

                                                                -

                                                                How You’ll Succeed

                                                                -
                                                                  -
                                                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • -
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • -
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • -
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                                                • -
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • -
                                                                -

                                                                -

                                                                Who You Are

                                                                -
                                                                  -
                                                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                                                • -
                                                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                                                • -
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                                                • -
                                                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                                                • -
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • -
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • -
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • -
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • -
                                                                -

                                                                -

                                                                What CIBC Offers

                                                                -

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                -
                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • -
                                                                -

                                                                -

                                                                What you need to know

                                                                -
                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Job Location

                                                                161 Bay Street, 39th Floor

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -

                                                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/210217845-director-treasury-quantitative-analytics-at-cibc,,expired,2023-03-30T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -3096d754-5671-44c3-844f-0ffa00f2b303,214825258,Scotiabank,"Manager, Data Platforms Risk & Audit Management - CID&A",on_site,Canada : Ontario : Toronto,2023-04-13T17:22:03.270Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 175932

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -

                                                                The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                                                                -

                                                                -

                                                                The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                                                                -

                                                                -


                                                                Accountabilities:

                                                                -

                                                                -

                                                                • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                                                                • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                                                                • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                                                                • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                                                                • Support and maintain Data Platforms risk and audit related documentation and tools
                                                                • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                                                                • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                                                                • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                                                                • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                                                                • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                                                                • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                                                                -

                                                                -

                                                                What we're looking for:

                                                                -

                                                                -

                                                                • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                                                                • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                                                                • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                                                                • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                                                                • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                                                                • Attention to details, high standards for quality.

                                                                -


                                                                It would be nice if you had...

                                                                -

                                                                -

                                                                • Experience in IT audit, cloud implementations and data migrations.
                                                                • Knowledge of Google Cloud Platform data capabilities.
                                                                • Experience auditing business applications including application controls, access, and security administration.
                                                                • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                                                                • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                                                                • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                                                                • Bilingual in Spanish would be an asset.

                                                                -

                                                                -


                                                                Requirements & Qualifications:

                                                                -

                                                                -

                                                                • Post-Secondary education completed. Advanced degree preferred but not mandatory
                                                                • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                                                                • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214825258-manager-data-platforms-risk-audit-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -25bfe15f-d8ef-4ae5-a557-4b9417085037,213973185,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-04-10T17:24:01.875Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                -

                                                                -

                                                                Department Overview

                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. Key objectives include driving business value, adopting key platforms, upholding reporting principles, simplifying and optimizing operations, supporting an inclusive environment and enhancing the colleague experience. The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Job Description

                                                                Data & analytics is something you’re passionate about. Leading the Fraud Analytics and Reporting pod, you will work closely with partners in Fraud Strategy and Fraud Operation to determine analytical solutions that will drive performance, risk and mitigation strategies that align with business objectives.
                                                                Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                Sound good so far? Fantastic! We are looking for an experienced BI Specialist/Product Owner to own and deliver on a portfolio of highly complex Fraud reports/dashboards in collaboration with a large, diverse and inclusive team of data, analytics, and reporting practitioners. Together, you’ll help champion best-in-class business intelligence capabilities by measuring and driving value for business stakeholders, focusing on stories that drive action, align with standardized reporting principles, and enhancing our colleague experience.

                                                                As a Business Intelligence Specialist / Product Owner, you will:

                                                                -
                                                                  -
                                                                • Lead discussions intended to unlock and identify Fraud business drivers, definitions and metrics in order to interpret findings, act and provide strategic direction.
                                                                • -
                                                                • Prioritize and manage the Fraud portfolio reporting backlog, working with Fraud executives and analytics teams to define clear reporting requirements for new outputs. Continuously iterate, ensuring that features and user stories are scoped and prioritized;
                                                                • -
                                                                • Collaborate with data owners to identify data elements and business leads to elicit information requirements and articulate those requirements in a manner that can be easily understood by data and reporting delivery pods;
                                                                • -
                                                                • Deliver and/or review presentations and communications to executive audiences and various working groups;
                                                                • -
                                                                • Have a deep understanding of business / technology, organizational practices and disciplines;
                                                                • -
                                                                • Plan effective test and learn scenarios for various programs or scenarios, leading a cross functional pod towards a singular objective;
                                                                • -
                                                                • Adhere to internal policies/procedures and applicable regulatory guidelines, contribute to the review of internal processes and activities and assist in identifying potential opportunities to improve operational efficiencies;
                                                                • -
                                                                • Manage issues raised by business stakeholders and work with delivery partners to streamline and improve existing reporting to eliminate errors and redundancies;
                                                                • -
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues;
                                                                • -
                                                                • Provide on-going communications on project status and systems capabilities, participate in agile ceremonies (standups, planning, retros, showcases), express new ideas for improving product value;
                                                                • -
                                                                • Work with colleagues and stakeholders located in various remote sites, generally US or Canada;
                                                                • -
                                                                • Generally, focus on broad range of complex issues that may span from medium – long term issues (e.g. 6-12 months).
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -

                                                                Job Requirements

                                                                -
                                                                  -
                                                                • The ideal candidate should have 7+ years of relevant experience in business or financial reporting/business data analysis and reporting, knowledgeable and savvy with new technology and tools preferably within the global financial services / financial crimes and fraud management industries;
                                                                • -
                                                                • Demonstrated relationship building skills – strong collaborator who successfully engages executive leadership, business-line and infrastructure/support partners in a matrix environment, gives direction to colleagues and, makes things happen through using positive influence. Experience leading ‘Design Thinking’ sessions would be an asset;
                                                                • -
                                                                • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo;
                                                                • -
                                                                • Energetic, enthusiastic, pro-active self-starter – willing to “roll up the sleeves” to deliver results in the short-term while building for the long-term; agile, adaptable, ‘can-do’ attitude, high degree of responsiveness and initiative;
                                                                • -
                                                                • Excellent oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion (for executive-level consumption);
                                                                • -
                                                                • Robust organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities, with a proven track record of executing with excellence and making an impact.
                                                                • -
                                                                • Comfortable accessing large data sources, performing mining, extractions and manipulations to uncover relevant data findings and big-picture stories;
                                                                • -
                                                                • Very strong working knowledge of MS Excel, MS PowerPoint, MS Access, MS Word, MS Outlook, MS OneNote;
                                                                • -
                                                                • Background building and using business intelligence, analytics and/or data visualization tools (e.g. Tableau, Alteryx, PowerBI, etc.);
                                                                • -
                                                                • Experience developing and maintaining reporting environments across multiple platforms (e.g. Star Schema, ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, VBA, SAS, Hadoop, R, Python, etc.);
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -#LI-Hybrid #businessintelligence
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/213973185-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -429b9cec-70b6-4bc9-be5a-81af9d7f949f,217073599,Scotiabank,Data Scientist - CID&A,on_site,Canada : Ontario : Toronto,2023-04-20T17:22:03.621Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 176950

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -

                                                                -

                                                                Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills. The incumbent uses their advanced analytical skills to develop analytical assets that will help the Bank achieve its business objectives.

                                                                -

                                                                -

                                                                The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.

                                                                -

                                                                -

                                                                Excellent written and communication skills are required and the Data Scientist will work closely with the Senior Data Scientist to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

                                                                -

                                                                -

                                                                Major Accountabilities:

                                                                -

                                                                -
                                                                • Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
                                                                • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
                                                                • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
                                                                • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
                                                                • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
                                                                • -
                                                                -

                                                                -


                                                                Requirements & Qualifications:

                                                                -

                                                                -
                                                                • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
                                                                • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
                                                                • Strong data engineering / data pipeline skills – the ability to understand how to efficiently build model pipelines to support production ready models
                                                                • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
                                                                • Strong programming skills in Python and SQL.
                                                                • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
                                                                • Experience using common machine learning algorithms in Python, GCP.
                                                                • Experience using and implementing visualization tools like PowerBI and/or Tableau.
                                                                • Knowledge of the Business Banking products and services an asset.
                                                                • -
                                                                -

                                                                -

                                                                Educational Requirements:

                                                                -

                                                                -
                                                                • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,10,27,https://talenthub.vectorinstitute.ai/jobs/217073599-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,expired,2023-04-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e291c21a-babd-4d28-b5ae-b2c3502d8742,208693672,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-03-25T17:27:03.186Z,"
                                                                -

                                                                What’s the opportunity?

                                                                -

                                                                Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                                                -

                                                                Your responsibilities include:

                                                                +

                                                                Address:

                                                                250 Yonge Street

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                                                                +

                                                                +

                                                                Key Priorities/duties:

                                                                  -
                                                                • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                                                • -
                                                                • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                                                • -
                                                                • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                                                • -
                                                                • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                                                • -
                                                                • To manage other research team leads and provide guidance and support.
                                                                • -
                                                                • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                                                • +
                                                                • Governance, Risk and Compliance Dashboard support using Power BI

                                                                • +
                                                                • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                                                                -

                                                                You’re our ideal candidate if you have:

                                                                +

                                                                +

                                                                This is a HYBRID role based in the Greater Toronto area.

                                                                +

                                                                +

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • A Ph.D. degree in Computer Science or a related technical field;
                                                                • -
                                                                • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                                                • -
                                                                • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                                                • -
                                                                • Experience delivering successful high-impact machine learning products
                                                                • -
                                                                • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                                                • -
                                                                • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                                                • -
                                                                • The ability to formulate and drive multiple research projects independently;
                                                                • -
                                                                • Exceptional communication and leadership skills;
                                                                • -
                                                                • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                -

                                                                What\'s in it for you?

                                                                +

                                                                +

                                                                SKILLS and Qualifications:

                                                                  -
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • -
                                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • MUST HAVE VBA (At least 3 years desired)
                                                                • +
                                                                • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                -

                                                                About Borealis AI

                                                                -

                                                                Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                -

                                                                -
                                                                ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:14:24.537Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208693672-research-director-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, -3f80d43d-0892-4dd3-8d3a-468107409931,209219015,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-03-27T17:22:03.110Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 176220

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                                                While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                                                                Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                                                                -

                                                                -

                                                                Job Purpose:

                                                                -

                                                                -

                                                                Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                                                -

                                                                -

                                                                Job Responsibilities:

                                                                -

                                                                -
                                                                1. Participate in the strategic management of debt collections by:
                                                                2. -
                                                                -
                                                                • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                                                • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                                                • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                                                • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                                                • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                                                • Ensuring future enhancements continue to be identified and implemented
                                                                • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                                                                • -
                                                                -

                                                                -

                                                                2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                                                                -
                                                                • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                                                • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                                                • Streamlining and/or integrating automation and technology
                                                                • Continually challenging the ‘status quo’ through innovation
                                                                • Support construction of a Centre of Excellence in Collections
                                                                • -
                                                                -

                                                                -

                                                                Job Requirements:

                                                                -

                                                                -
                                                                • Two to three years’ experience in data analytics
                                                                • Experience with statistical software packages such as SAS or SQL
                                                                • Strong leadership, collaboration, and communication skills
                                                                • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                                                                • -
                                                                -

                                                                -

                                                                Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:01:21.389Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/209219015-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ab51f9c1-0516-441d-891d-337c7ce43f41,212883400,TELUS,Senior Machine Learning Engineering Consultant,on_site,"Ontario, Canada",2023-04-06T17:42:02.218Z,"
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:43:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/233912497-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-06-08T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a9d50065-17b0-4268-8af3-b191bf18fef3,232858626,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2023-06-05T16:15:04.051Z,"

                                                                Description

                                                                -

                                                                Our team and what we’ll accomplish together

                                                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                                                +

                                                                Join our team

                                                                -
                                                                  -
                                                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects
                                                                • -
                                                                • We have flexible work styles with the ability to work in and out of the office
                                                                • -
                                                                • You will work in a team that actively supports your personal development with progressive training and development tools
                                                                • -
                                                                -


                                                                What you’ll do

                                                                +

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                                +

                                                                +

                                                                We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                                                                +

                                                                +

                                                                Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                +

                                                                +

                                                                Here’s the impact you’ll make and what we’ll accomplish together

                                                                +

                                                                +

                                                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                                                                +

                                                                +

                                                                As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                                +

                                                                +

                                                                Here\'s how

                                                                  -
                                                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies
                                                                • -
                                                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                                                • -
                                                                • Select appropriate datasets and data representation methods
                                                                • -
                                                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                                                • +
                                                                • Lead the iterative development, validation, and deployment of AI/ML models
                                                                • +
                                                                • Collaborate on end-to-end automation efforts required to bring models to production
                                                                • +
                                                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                • +
                                                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                • +
                                                                • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                • +
                                                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                • +
                                                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • -
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • -
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                                • -
                                                                • Responsible for end-to-end engagement from problem definition to insight delivery as well as value realization & measurement

                                                                @@ -56831,1090 +56357,1007 @@ ab51f9c1-0516-441d-891d-337c7ce43f41,212883400,TELUS,Senior Machine Learning Eng

                                                                Qualifications

                                                                -

                                                                What you bring

                                                                +

                                                                You\'re the missing piece of the puzzle

                                                                  -
                                                                • You have 5 + years experience in a data related position
                                                                • -
                                                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                                                • -
                                                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                                                • -
                                                                • You are well versed in software and AI development lifecycles
                                                                • -
                                                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                                                • -
                                                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                                                • -
                                                                • You have the ability to communicate effectively to gather advanced Data Science requirements from Director-level stakeholders and communicate finding/insights in clear concise manner; ability to create/deliver impactful presentations
                                                                • +
                                                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                • +
                                                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
                                                                • +
                                                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                                • +
                                                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                                • +
                                                                • You possess advanced knowledge in SQL and distributed computing
                                                                • +
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • You are well versed in software and AI development lifecycles, including ML Ops
                                                                • +
                                                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                -


                                                                Great-to-haves

                                                                +

                                                                +

                                                                Great-to-haves

                                                                  -
                                                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • -
                                                                • Google Professional ML Engineering Certification
                                                                • -
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                                                • -
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote -
                                                                • +
                                                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                                • +
                                                                • Experience with agile methodology and work in a start-up environment
                                                                • +
                                                                • GCP or other cloud certifications
                                                                +

                                                                #LI-REMOTE

                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-05-06T19:26:17.997Z,False,0,5,35,https://talenthub.vectorinstitute.ai/jobs/212883400-senior-machine-learning-engineering-consultant-at-telus,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -fb948c7c-2ab2-4a84-9048-e5e513efddf4,218282685,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-04-24T17:22:02.211Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 172337

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -

                                                                -

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -

                                                                -

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                -

                                                                -

                                                                Accountabilities

                                                                -

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Education / Experience

                                                                -

                                                                -
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • +
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/569738117/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,52,https://talenthub.vectorinstitute.ai/jobs/232858626-senior-data-scientist-at-telus,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +9a7ab3c2-c469-40b7-890d-7c4a3ecb6a1b,232858621,Avidbots,Software Developer - Machine Learning Platform (MLops),on_site,"Ontario, Canada",2023-06-05T16:15:03.435Z,"
                                                                +

                                                                About Avidbots:

                                                                +

                                                                At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                                                                Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                                                                +

                                                                Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                                                                +

                                                                +

                                                                About the role:

                                                                +

                                                                The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                                                                +

                                                                You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                                                                +

                                                                +

                                                                How you will make a difference:

                                                                +
                                                                  +
                                                                • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                                                                • +
                                                                • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                                                                • +
                                                                • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218282685-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ad389f6c-ebf3-4b1f-a640-c3ba13b2b8d9,217073195,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.462Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Senior Analytics Manager

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                -

                                                                -

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Apply your skills in data validation, exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                                                • -
                                                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                                                • -
                                                                • Drive the automation and implementation of powerful data-backed reports to stakeholders throughout the organization.
                                                                • -
                                                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                                                • -
                                                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                                                • -
                                                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                                                • -
                                                                • Respond to data analysis inquiries from the internal audit team.
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must have

                                                                -
                                                                  -
                                                                • Degree in a quantitative field
                                                                • -
                                                                • Experience with either Python or R as well as SQL and other NoSQL DBs
                                                                • -
                                                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                                                • -
                                                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                                                • -
                                                                -

                                                                -

                                                                Nice to have

                                                                -
                                                                  -
                                                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                                                • -
                                                                • Experience working with Dataiku
                                                                • -
                                                                • Understanding of software engineering design principles
                                                                • -
                                                                • Experience building natural language processing (NLP) and unsupervised learning models
                                                                • -
                                                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -

                                                                -
                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Flexible work/life balance options
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-04-19

                                                                Application Deadline:

                                                                2023-05-04
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000057312/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T17:21:01.982Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/217073195-senior-analytics-manager-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -123112bc-00fb-4979-978b-0d87bdbbe341,217075525,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2023-04-20T17:41:02.048Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                Required Skills & Experience:

                                                                +
                                                                  +
                                                                • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                                                                • +
                                                                • 5+ years of professional software development experience (Python, C++ preferred)
                                                                • +
                                                                • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                                                                • +
                                                                • Hands-on experience designing scalable infrastructure for machine learning applications
                                                                • +
                                                                • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                                                                • +
                                                                • Knowledge of best practices in modern software development, such as git
                                                                • +
                                                                • Proficiency with Linux-based operating systems
                                                                • +

                                                                -

                                                                Job Description:

                                                                -

                                                                The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking an experienced Senior Data Analyst to join our CXO Analytics team. This team is dedicated to supporting client growth and performance through extracting meaningful insights from enterprise data.

                                                                -

                                                                -

                                                                Reporting to the AVP, CXO Analytics, the Senior Data Analyst will play an integral role in migrating our existing Lead Program reporting from SAS to AWS through migrating the technology to our newest data stack and updating existing reporting to provide more insight, a robust data foundation, and easier to understand visuals. This is an exciting opportunity to build new reports using new data sources and new technology. Please note this is a 6-month contract opportunity.

                                                                -

                                                                -

                                                                What will you do?

                                                                +

                                                                Nice to Have:

                                                                  -
                                                                • Design and engineer data products in Tableau

                                                                • -
                                                                • Ensure that a high level of data quality and data integrity are maintained across all data sources

                                                                • -
                                                                • Convert complex business and technical rules into logic for data flows, data pipelines and dashboards

                                                                • -
                                                                • Develop visualization solutions that present data accurately and drive insights to guide business decisions and outcomes

                                                                • -
                                                                • Collaborate with business stakeholders to understand reporting needs

                                                                • -
                                                                • Work with our Data Enablement teams to implement data products for reporting needs

                                                                • -
                                                                • Perform ad-hoc analysis to help explore new data questions

                                                                • +
                                                                • Experience with Robot Operating System (ROS)
                                                                • +
                                                                • Experience working with a global team
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                +

                                                                +

                                                                Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                                                +

                                                                +

                                                                Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                                                                +

                                                                +

                                                                #INDAV

                                                                +
                                                                ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,49,https://talenthub.vectorinstitute.ai/jobs/232858621-software-developer-machine-learning-platform-mlops-at-avidbots,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +fe1a5f9e-0639-4127-9eb3-8d053e1f5966,236958273,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-06-17T02:12:03.668Z,"

                                                                JOB DESCRIPTION

                                                                +

                                                                Applied ML Scientist, Health

                                                                +

                                                                POSITION OVERVIEW

                                                                +

                                                                As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

                                                                +

                                                                +

                                                                RESPONSIBILITIES

                                                                +
                                                                  +
                                                                • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
                                                                • +
                                                                • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
                                                                • +
                                                                • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
                                                                • +
                                                                • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
                                                                • +
                                                                • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
                                                                • +
                                                                • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
                                                                • +
                                                                • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
                                                                • +
                                                                • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
                                                                • +
                                                                • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
                                                                • +
                                                                • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
                                                                • +
                                                                +

                                                                +

                                                                PROFILE OF IDEAL CANDIDATE

                                                                +
                                                                  +
                                                                • PhD degree in computer science or computer engineering with a research focus on machine learning required;
                                                                • +
                                                                • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
                                                                • +
                                                                • Demonstrated experience applying machine learning research to novel problems and data sets;
                                                                • +
                                                                • Experience with software engineering and/or data engineering is considered an asset;
                                                                • +
                                                                • Strong knowledge and experience of Python;
                                                                • +
                                                                • Experience with parameter and architecture tuning of deep learning algorithms;
                                                                • +
                                                                • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
                                                                • +
                                                                • Experience with recommendation systems is considered an asset.
                                                                • +
                                                                +

                                                                +

                                                                KEY SUCCESS MEASURES

                                                                +
                                                                  +
                                                                • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
                                                                • +
                                                                • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
                                                                • +
                                                                • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
                                                                • +
                                                                +

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-11T02:17:02.751Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/236958273-applied-ml-scientist-health-lead-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, +cdf11f7a-137a-4c96-a376-1b63c1058dab,243217468,Clearpath,Autonomy Developer - Perception,on_site,"Ontario, Canada",2023-07-05T02:18:06.529Z,"

                                                                Description

                                                                +

                                                                Position: Autonomy Developer - Perception
                                                                Location: Kitchener-Waterloo, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 3+ Years Relevant Work or Academic Experience
                                                                Education: Graduate Degree in Related Field
                                                                Division: OTTO Motors

                                                                +

                                                                About OTTO™ Motors (Division of Clearpath Robotics)

                                                                +

                                                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                                +

                                                                About the Job

                                                                +

                                                                We\'re looking for a driven, resourceful and motivated candidate for the Senior Perception Developer - Calibration and Sensors position. This person will take a leading role in the development of calibration and sensor algorithms for autonomous mobile robots.

                                                                +

                                                                The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Senior Perception Developer - Calibration and Sensors, you will develop and maintain algorithms and processes for the complete continuous calibration and monitoring of robotic systems. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators, as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                +

                                                                About You

                                                                +

                                                                For the role of Senior Perception Developer - Calibration and Sensors, we are seeking an experienced developer to develop, support, maintain, and extend robotic calibration solutions for real world applications.

                                                                +

                                                                Your primary responsibilities will be:

                                                                  -
                                                                • 3-5 years of hands-on experience working with AWS technologies for data processing and analytics; demonstrated experience with relational database systems, relational models, and dimensional models

                                                                • -
                                                                • 3-5 years of experience with engineering data products as input to various analytical models

                                                                • -
                                                                • 3 years of experience in SQL with a proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                                • -
                                                                • 2 years of experience with AWS Glue for ETL

                                                                • -
                                                                • Experience in building dashboards in Tableau or an equivalent tool, with the ability to produce well-designed interactive dashboards and automated reports

                                                                • -
                                                                • Proven experience working with complex data sources and various data types to develop robust data foundations and production-grade data products

                                                                • -
                                                                • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                                • +
                                                                • Creating robust innovative solutions to the problems of robotic calibration and perception
                                                                • +
                                                                • Developing custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                                                                • +
                                                                • Evaluating new sensing technology and robotic platforms
                                                                • +
                                                                • Working with production and hardware teams to develop processes for sensor calibration methods
                                                                • +
                                                                • Supporting the deployment and testing of robotic systems
                                                                -

                                                                -

                                                                What would be nice to have?

                                                                  -
                                                                • Experience with Salesforce

                                                                • -
                                                                • Experience with SAS programming

                                                                • -
                                                                • Experience working in a large financial services organization

                                                                • -
                                                                • Knowledge of fundamental statistical models & techniques

                                                                • +
                                                                • Collaborating with various internal teams, as well as academic and industrial partners
                                                                • +
                                                                • Staying up to the date with the latest developments from academia and industry
                                                                -

                                                                -

                                                                What are the unique requirements?

                                                                +

                                                                Skills and experience:

                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5-year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +
                                                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                • +
                                                                • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration.
                                                                • +
                                                                • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models.
                                                                • +
                                                                • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                                                                • +
                                                                • Strong software development skills in modern C++.
                                                                • +
                                                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                • +
                                                                • Hands-on experience with real world autonomous systems.
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                +

                                                                Bonus points for:

                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • +
                                                                • Experience writing efficient, high performance code.
                                                                • +
                                                                • Experience with ROS, Gazebo, OpenCV and PCL.
                                                                • +
                                                                • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
                                                                • +
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
                                                                • +
                                                                • Experience with manufacturing tolerances of robotic systems
                                                                -

                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                02/05/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00078475?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-04T17:46:03.422Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/217075525-senior-data-analyst-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -d3e5e993-b597-4c7f-bfcf-0cf620ba495b,217073196,RBC,Reporting & Analytics Analyst,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.567Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Reporting & Analytics Analyst

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                You will support the delivery of analytical insights, develop and curate data assets, build dashboards and model data that will enable data driven decisions.

                                                                -

                                                                UKJERSEYWM

                                                                -

                                                                -

                                                                What will you do?

                                                                +

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/243217468-autonomy-developer-perception-at-clearpath,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +542dd3c5-3fea-4506-8ad3-02863a3924b2,257593932,TELUS,Data Quality Lead (Collibra),on_site,"Ontario, Canada",2023-08-10T02:18:04.865Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +

                                                                +

                                                                Join our team & what we’ll accomplish together

                                                                +

                                                                +

                                                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high-quality data. We have a data-product and data platform-oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

                                                                +

                                                                +

                                                                We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

                                                                +

                                                                +

                                                                As a Trusted advisor for Data Quality Management, you’ll contribute to the adoption and advancement of TELUS’ Data Management and Data Quality Program, you will also contribute to the advancement of TELUS’ Data Quality platform maturity and adoption.

                                                                +

                                                                +

                                                                As a Subject Matter Expert in Data Management, you collaborate with various business units and demonstrate thought leadership when sitting at the intersection between business value, technology and data to ensure TELUS’ data quality platform provides a high usability platform for all data quality needs at TELUS. Growth mindset is the must for this role as we are lean and extremely adaptable team that supports all aspects of Center of Excellence practice.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                What you will do

                                                                +
                                                                +

                                                                  -
                                                                • Develop, enhance and maintain the evolving Data Analytics data infrastructure in line with the business needs to support the overarching data strategy across the organisation

                                                                • -
                                                                • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle

                                                                • -
                                                                • Work with the business to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository

                                                                • -
                                                                • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, creating models to support investigation and analysis

                                                                • -
                                                                • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements Research, explore and understand business problems and reporting requirements to facilitate the design, development and deployment of solutions and dashboards, enabling end user self-service, incorporating drill-down functionality

                                                                • -
                                                                • Provide data driven and thought provoking insights to drive informed decision-making, transferring knowledge to stakeholders and enabling the business to use its data more effectively

                                                                • -
                                                                • Through the delivery of informative reporting solutions; support, inspire and educate end-users to use data more effectively to improve overarching data literacy across the organisation

                                                                • -
                                                                • Analyse, document and recommend improvements to existing business practices to capitalise on opportunities for automation, efficiencies and risk reduction to enhance capabilities and streamline end-to-end data related processes

                                                                • -
                                                                • Work in conjunction with Finance and Technology functions to understand the reconciliations process and flow of data across applications

                                                                • -
                                                                • Actively engage within the team and wider business areas to foster relationships and develop thought leadership Responsible for the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations

                                                                • -
                                                                • Adhere to and promote the the DevOps process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed

                                                                • +
                                                                • Establish product strategic goals and short, mid and long-term roadmap
                                                                • +
                                                                • Define and document what to solve first, articulate the valuable market/user problem to be addressed along with priorities and justification for each part of the solution
                                                                • +
                                                                • Gathers, manages, and prioritizes market/customer requirements
                                                                • +
                                                                • Acts as the user advocate articulating the end user’s needs
                                                                • +
                                                                • Work closely with engineers, architects, program managers and platform support to ensure business case, yearly targets and user satisfaction goals are met
                                                                • +
                                                                • Ensure that the product supports the company’s overall strategy and goals
                                                                • +
                                                                • Empower rapidly growing TELUS Enterprise Data Quality Management Practice user community
                                                                • +
                                                                • Enrich user experience for all types of users
                                                                • +
                                                                • In alignment with the program goals and objectives, define and drive user adoption processes by meaningful interactions and consistent application of advanced branding, marketing and communication techniques and skills to drive user engagement
                                                                • +
                                                                • Support and be attentive to users needs and concerns in a timely manner, alleviate user concerns in a positive manner in alignment with program vision and approach
                                                                • +
                                                                • Actively monitor data quality maturity trending and initiate appropriate corrective actions with responsible users and stakeholders
                                                                • +
                                                                • Nurture and grow user community by preparing, facilitating, coordinating and running community of practice forums; capture, manage and follow up on all action items raised; communicate outcomes as needed
                                                                • +
                                                                • Lead/support Collibra Data Quality Platform user training and onboarding activities for all existing and future platform components and capabilities
                                                                • +
                                                                • Maintain existing and development new training materials
                                                                • +
                                                                • Advocate for Data management and governance practice
                                                                • +
                                                                • Keep informed and apply data management and governance best practices
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-have

                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you will bring

                                                                +

                                                                  -
                                                                • Proven experience with MS SQL Server

                                                                • -
                                                                • Sound understanding of relational database principals, guidelines and design

                                                                • -
                                                                • Extensive SQL query development experience

                                                                • -
                                                                • Familiarity and experience with data visualisation tools

                                                                • -
                                                                • Data management specialist with ability to mine data and predictive modelling

                                                                • -
                                                                • Advanced knowledge of, and experience in manipulating large disparate data sets from multiple sources in multiple formats

                                                                • +
                                                                • Expert level of understanding and demonstrable working knowledge of Collibra Data Quality platform
                                                                • +
                                                                • Subject matter expertise in CDQr product,including specific industry and technical knowledge
                                                                • +
                                                                • Expert level of understanding and demonstrable knowledge of Data Quality Management practices
                                                                • +
                                                                • Expert level of understanding and demonstrable knowledge of strategy and product management
                                                                • +
                                                                • Expert level of understanding and demonstrable knowledge of Data Governance practices
                                                                • +
                                                                • Strong communication & problem solving skills
                                                                • +
                                                                • Strong understanding of Data Management Lifecycle
                                                                • +
                                                                • Strong understanding of Data Lifecycle and what DQM activities are applied at each stage
                                                                • +
                                                                • Working knowledge with database technologies, systems , reporting tools and APIs
                                                                • +
                                                                • Ability to influence cross-functional teams without formal authority
                                                                • +
                                                                • Ability to work with Communication platforms used (gSuite, web pages, Collibra dashboards, …) hands on design and development required
                                                                • +
                                                                • Project management skills in order to administer, schedule, manage meeting agendas/ reviews/ MoM/communication and groups of stakeholders
                                                                • +
                                                                • Working knowledge of Data Management practices as per DAMA International BOK framework
                                                                -

                                                                -

                                                                Nice-to-have

                                                                +

                                                                +

                                                                Great-to-Haves

                                                                +

                                                                  -
                                                                • Knowledge of Tableau

                                                                • -
                                                                • Experience with JIRA

                                                                • -
                                                                • Experience with GitHub

                                                                • -
                                                                • Knowledge of Agile project management principles

                                                                • +
                                                                • University degree in computer science and/or 5 years of working experience in Information Management
                                                                • +
                                                                • Collibra University Certification
                                                                • +
                                                                • Knowledge of Collibra Data Intelligence Cloud Technology
                                                                • +
                                                                • Demonstrable DAMA international BOK Framework knowledge and/or application
                                                                • +
                                                                • PMP certification
                                                                • +
                                                                • Fluency in speaking, reading and writing French
                                                                -

                                                                -

                                                                What is in it for you?

                                                                -

                                                                -

                                                                We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Data-Quality-Lead-%28Collibra%29-ON/572847917/,feed-importer@jobboard.io,,,,2023-09-09T20:24:29.854Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/257593932-data-quality-lead-collibra-at-telus,,expired,2023-08-10T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +cdf6676f-de0c-48cc-8e7c-a1e8be3e562c,257990007,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-08-11T01:42:06.001Z,"
                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                  -
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • -
                                                                • Opportunities to work with the best in the field

                                                                • -
                                                                • Ability to make a difference and lasting impact

                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • -
                                                                • Flexible working options fully supported

                                                                • -
                                                                • Hybrid Working

                                                                • +
                                                                • Acts as a trusted advisor to assigned business/group.
                                                                • +
                                                                • Influences and negotiates to achieve business objectives.
                                                                • +
                                                                • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                • +
                                                                • Assists in the development of strategic plans.
                                                                • +
                                                                • Identifies emerging issues and trends to inform decision-making.
                                                                • +
                                                                • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                • +
                                                                • Conducts independent analysis and assessment to resolve strategic issues.
                                                                • +
                                                                • Automates validation tests to improve quality and efficiency of the validation process.
                                                                • +
                                                                • Identifies emerging issues and trends to inform decision-making.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Ensures alignment between stakeholders.
                                                                • +
                                                                • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                                                                • +
                                                                • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                                • +
                                                                • Provides input into the planning and implementation of operational programs.
                                                                • +
                                                                • Executes work to deliver timely, accurate, and efficient service.
                                                                • +
                                                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                • +
                                                                • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                • +
                                                                • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                • +
                                                                • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                • +
                                                                • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                • +
                                                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                • +
                                                                • Performs experimental design approaches to validate finding or test hypotheses.
                                                                • +
                                                                • Uses the appropriate algorithms to discover patterns.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                • +
                                                                • Supports development of tools and delivers training for data and analytics.
                                                                • +
                                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of core business/group processes.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently and regularly handles non-routine situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                                                                • +
                                                                • Relevant experience in risk, capital, and/or treasury management is preferred.
                                                                • +
                                                                • A professional designation in Finance or Risk management is preferred.
                                                                • +
                                                                • Post-secondary degree in Finance/Economics/Math required.
                                                                • +
                                                                • Professional designation in Finance or Risk management required.
                                                                • +
                                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-09-13T16:38:55.347Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/257990007-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-08-11T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +483eb9b2-84bb-4220-bbed-49897833e88a,277013495,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-10-05T12:19:01.631Z,"
                                                                +

                                                                Application Deadline:

                                                                10/12/2023

                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                                                                +

                                                                The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the pro

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-16T12:24:01.916Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/277013495-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-10-05T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +a5b87977-3985-403c-8516-732c07c6b401,277019769,Sun Life Financial,"Product Owner, Data Enablement",on_site,"Ontario, Canada",2023-10-05T12:28:03.064Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                100 BISHOPSGATE:LONDON

                                                                City:

                                                                GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                                                                Country:

                                                                United Kingdom

                                                                Work hours/week:

                                                                35

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Wealth Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-02-16

                                                                Application Deadline:

                                                                2023-05-10
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000049131/Reporting-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T21:34:00.000Z,False,0,16,35,https://talenthub.vectorinstitute.ai/jobs/217073196-reporting-analytics-analyst-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -76d58785-c376-45b9-87db-f2e720d44c73,219391614,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Ottawa, ON",2023-04-27T17:24:02.326Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                +

                                                                Job Description:

                                                                +

                                                                This is an 18-month contract position.

                                                                -

                                                                Department Overview

                                                                -

                                                                The Workforce Management (WFM) team is part of the North American Phone Channel Shared Services, providing ongoing support and leadership in the following specialty areas: Sales strategy, Customer and Employee Experience, Governance / Operating Solutions, Enterprise Workforce Management and Business Solutions. It is our high performing teams who create a passion for the customer experience and make North American Phone Channel Shared Services (NAPCSS) a great place to work. NAPCSS supports over a dozen lines of businesses, including all of the businesses in Canadian Personal Banking, Wealth, Direct Investing, TD Insurance, and US Contact Centre; driving superior solutions to enable a better Phone experience, and championing continuous improvement within the Phone network. We are supporters of a caring performance culture and leaders in great community spirit. NAPCSS offers a unique career opportunity to make an impact and build for the future. We seek individuals with a positive attitude who are driven to produce extraordinary results and would like to work in an environment that is fun, high energy, fast-paced, and collaborative.

                                                                +

                                                                We are looking for a bright, energetic, and ambitious individual to join our Data Engineering Team.

                                                                +

                                                                This is a fantastic opportunity to work with amazing teams and help them achieve their vision to deliver actionable information from data to enable business outcomes.

                                                                +

                                                                You will work with business stakeholders, IT, data science, and data engineering teams to develop a vision of what they want to achieve and the strategy and plans to get there, while at the same time working with cutting edge data technologies.

                                                                +

                                                                Your experience as a Product Owner means translating and prioritizing business needs to user stories and roadmaps. Your ultimate job is to ensure value comes out of your data product. You will take responsibility for the business success in terms of their dealings with your data product(s).

                                                                +

                                                                You are a passionate advocate for your stakeholders and will drive the deliverables to completion. Once completed, you will be responsible for data governance practices within your products, including metadata documentation and data quality, as well as facilitating resolution of those data issues. Your balance between technical and business knowledge and soft skills will be Key.

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                Reporting to the Manager, Delivery and Execution, the successful candidate will be responsible for the short-term operational support of forecasting for Service Level, FTE supply, expenses and efficiency for all Contact Center groups that fall within the North American Contact Center (NACC). In partnership with the Centers and Business Unit stakeholders, this role advises on high impact solutions / recommendations and strategies to close identified gaps in business performance while building strong capabilities that can be leveraged across the enterprise. This is a highly visible role and the candidate will have exceptional communication and relationship management skills, enabling seamless interactions with a broad range of stakeholders across the bank at varying levels of seniority.

                                                                -

                                                                PRIMARY RESPONSIBILITIES:

                                                                -
                                                                  -
                                                                • Deliver operational support to forecasting CoE Workforce Management activities, support long term demand/ capacity planning to accurately forecast business outlook across NACC
                                                                • -
                                                                • Partner with business stake holders and operations to provide support in sizing impacts of initiatives and provide recommendations for efficient solutions to deliver best in class customer experience.
                                                                • -
                                                                • Develop proposals and recommendations for that identify and profile high impact, forward looking strategies, along with action plans to maximize productivity and efficiencies
                                                                • -
                                                                • Execute on ad-hoc reporting for pre/post live day to provide detailed insights on business performance that is summarized in an easily understood output for all levels of leadership and understanding of workforce metrics
                                                                • -
                                                                -
                                                                  -
                                                                • Lead/support weekly interactions with the senior leadership teams for the businesses we support in NACC
                                                                • -
                                                                • Demonstrate resiliency under pressure
                                                                • -
                                                                -

                                                                KEY RELATIONSHIPS:

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Reports to Manager, Forecasting
                                                                • -
                                                                • All WFM COEs (Scheduling, Demand/Capacity forecasting, Intake Analysts, and Business Partners)
                                                                • -
                                                                • Daily working relationships with all level of TDBG
                                                                • +
                                                                • Develop a deep understanding of stakeholders’ business needs and outcomes
                                                                • +
                                                                • Work in collaboration with Business, IT, Data Engineering, and Data Science teams to design and deliver products that provide business value and drive downstream efficiencies
                                                                • +
                                                                • Gather requirements and document them as user stories, epics, and themes
                                                                • +
                                                                • Maintain a prioritized backlog
                                                                • +
                                                                • Provide ongoing support to stakeholders and users of the data products
                                                                • +
                                                                • Accountable for end-to-end delivery of the product, in partnership with IT
                                                                • +
                                                                • Work in collaboration with the Director to develop and execute on long term roadmaps
                                                                • +
                                                                • Monitor ongoing use of the data products to help direct future investment decisions
                                                                • +
                                                                • Maintain metadata and data dictionaries
                                                                • +
                                                                • Resolve conflicts and find compromises
                                                                • +
                                                                • Ensure data quality and facilitate issue resolutions
                                                                • +
                                                                • Assist in developing business case justification for product development, creating budget requests and managing funding allocations for the data product(s)
                                                                • +
                                                                • Partner with ES and Architecture to evaluate solution and design options
                                                                • +
                                                                • Acts as the go-to Subject Matter Expert for the data product(s), partnering with other SMEs in the business stakeholders, IT and Data Engineering teams to ensure coverage of expertise across the domain(s).
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                  -
                                                                • Minimum 3-5 years’ experience in a Contact Center environment
                                                                • -
                                                                • Hands-on experience and knowledge of Workforce Management systems & process is recommended
                                                                • -
                                                                • Strong communication skills with an ability to present concepts and research to senior audiences with clarity and confidence
                                                                • -
                                                                • Strong organizational skills with a proven ability to multitask
                                                                • -
                                                                • Exceptional analytical skills with specific attention to detail
                                                                • -
                                                                • Driven to continual improvement of processes and working environment
                                                                • -
                                                                • Proficient with MS Office Suite
                                                                • -
                                                                • Ability to quickly learn new technology/software/systems
                                                                • -
                                                                • Enjoys working in an agile, fast pace and collaborative environment
                                                                • -

                                                                -

                                                                Additional Information

                                                                -
                                                                -EDUCATION & WORK EXPERIENCE:

                                                                +

                                                                What do you need to succeed?

                                                                  -
                                                                • A post-secondary degree in business, economics, data sciences, or other related fields of study
                                                                • -
                                                                • 3-5 years of experience in workforce management, planning and/or data management analytics
                                                                • -
                                                                • Experience with database management and/or visualization software such as Tableau, Power BI, MS SQL, PHP, Python, R etc. is an asset and recommended
                                                                • +
                                                                • Proven experience with product leadership, ownership, and development in data and technology; including planning, execution and coordination of delivery activities across multiple teams and stakeholders
                                                                • +
                                                                • 3+ years as a Product Owner in Agile environment
                                                                • +
                                                                • Self-started with Owners Mindset
                                                                • +
                                                                • Excellent communication and influence skills while working with diverse stakeholders; ability to interact with multiple levels of management across business, IT, and Data Engineering
                                                                • +
                                                                • Ability to translate business needs and processes to requirements and technology direction
                                                                • +
                                                                • Demonstrated ability to assess business needs and conceptualize a vision for the product with the added ability to develop a product strategy and roadmap. Ability to communicate a shared vision and establish buy-in.
                                                                • +
                                                                • Experience with preparing cost estimates, presenting budget requests and managing to a budget.
                                                                • +
                                                                • Outstanding problem-solving skills and ability to facilitate problem identification, resolution and escalation across multiple business and technology disciplines.
                                                                • +
                                                                • High business acumen
                                                                -
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-08T20:33:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219391614-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ca2a06e3-f444-49cb-9fad-4f03fc770a4a,220633258,Clearpath,Robot Platform Software Developer/Engineer,on_site,"Ontario, Canada",2023-04-30T17:42:03.020Z,"

                                                                Description

                                                                -

                                                                Position: Robot Platform Software Developer/Engineer
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 3+ years
                                                                Education: Bachelor\'s degree in Mechatronics, Systems, Electrical Engineering, or a related field
                                                                Division: OTTO Motors

                                                                -

                                                                About OTTO™ Motors (Division of Clearpath Robotics)

                                                                -

                                                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                                -

                                                                -

                                                                About the Job

                                                                -

                                                                The Platform team is responsible for integrating the Hardware and Software of OTTO Mobile Autonomous Robot platforms. You are a true Mechatronics engineer, with a focus primarily on the software side of things including bare metal firmware, device drivers for external components, and application layer components. You will lead in developing the software components to make our robots function, and easily diagnose issues. You will exemplify a proper Software Development Life Cycle from beginning to end and contribute to every aspect of it. Your code will ultimately run on the robots and control mission-critical functionality such as battery management, sensor drivers or motor command output. Any failure could have catastrophic consequences.

                                                                -

                                                                You will be involved with the initial proof of concept and bring-up of new robot hardware platforms, integrating the hardware with the autonomous software. You will be responsible for the controls system architecture and design of new and existing industrial self-driving vehicles. Design challenges will span from high-level system architecture, integration, programming, and field testing. You have no problem deducing hardware issues from software logs. You will need to be aware of functional safety implications in an industrial environment, and how to implement and verify safety functions.

                                                                -

                                                                -

                                                                Your primary responsibilities will be:

                                                                -
                                                                  -
                                                                • Architect, design and implement custom software, ranging from low-level robot control firmware, PC drivers for external controllers, and enhanced interactive diagnostics using C/C++ and Python
                                                                • -
                                                                • Prototyping and Bring-up of new Mechatronic platforms
                                                                • -
                                                                • Integrating complex electronics and control systems with Autonomous Software
                                                                • -
                                                                • Documentation of system-level architectures, and contributing to knowledge bases for triaging and debugging complex issues
                                                                • -
                                                                • Coordination of feature requirements between Software, Hardware, and Production teams
                                                                • -
                                                                • Providing expert level debugging of our robots to support Client Success, Field Services, and internal Test and Manufacturing teams
                                                                • -
                                                                -

                                                                -

                                                                Required Skills:

                                                                -
                                                                  -
                                                                • Bachelor\'s degree in Mechatronics Engineering, Systems Engineering, Electrical Engineering, or a related field with applicable background
                                                                • -
                                                                • 3+ years of experience working with C++ and/or Python
                                                                • -
                                                                • Experience writing robust, efficient, high performance code
                                                                • -
                                                                • Strong electronics and mechatronics prototyping and debugging skills (breadboarding, oscilloscopes, multimeters)
                                                                • -
                                                                • Experience of hands-on troubleshooting of electronic and electromechanical systems
                                                                • -
                                                                • Understanding of sensors and actuators and their error modes, especially motor controllers
                                                                • -
                                                                • Able to perform root-cause analysis of hardware and software issues from data logs
                                                                • -
                                                                • Familiarity with Linux (Debian based distributions)
                                                                • -
                                                                • Excellent teamwork and communication skills
                                                                • -
                                                                • Ability to independently develop software development plans, including timelines and test procedures
                                                                • -
                                                                • Past experience participating in development or deployment projects that have gone terribly wrong
                                                                • -
                                                                -

                                                                -

                                                                Bonus Skills:

                                                                -
                                                                  -
                                                                • Knowledge of different approaches to the Software Development Lifecycle, especially the V-model
                                                                • -
                                                                • IT experience in networking, OS configuration and troubleshooting, drivers
                                                                • -
                                                                • Experience working with different field buses, especially CAN and Ethernet-based
                                                                • -
                                                                • Experience with industrial electrical design and troubleshooting
                                                                • -
                                                                • Working knowledge of aspects of mobile robotics such as perception, planning, controls, and navigation
                                                                • -
                                                                • Familiarity with industrial material handling vehicles, such as AGVs, AMRs, SDVs, forklifts, tuggers etc.
                                                                • -
                                                                • Experience with ROS (Robot Operating System)
                                                                • -
                                                                • Familiarity with software version control and CI/CD tools, such as Git, Jenkins and Gitlab
                                                                • -
                                                                • P.Eng Accreditation attained or in-progress
                                                                • -
                                                                -

                                                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/odNRmfwX,feed-importer@jobboard.io,,,,2023-05-08T20:36:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/220633258-robot-platform-software-developer-engineer-at-clearpath,,expired,2023-04-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -d4697103-44a7-4893-a7e6-6d4974b1c66a,236958270,Vector Institute,AI Project Management Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.426Z,"

                                                                AI Project Management Intern

                                                                -

                                                                POSITION OVERVIEW

                                                                -

                                                                The AI Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute, the objectives of which are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation work stream are met.

                                                                -

                                                                Start date: September 11, 2023

                                                                -

                                                                End date: December 22, 2023

                                                                -


                                                                -

                                                                APPLIED INTERNSHIPS AT VECTOR

                                                                -

                                                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                -


                                                                -

                                                                KEY RESPONSIBILITIES

                                                                -
                                                                  -
                                                                • Assist in the design, development, and management of AI Projects for Industry, creating and updating project plans, supporting the identification of interesting use-cases, contributing to sort-out logistic challenges, and work on a range of project deliverables (e.g., business cases, executive roadmaps, etc);
                                                                • -
                                                                • Facilitate discussions on the applications of AI techniques and identification of potential contributors in the broader ecosystem;
                                                                • -
                                                                • Support project support functions such as coordinating meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), preparing minutes, tracking action items and following up with meeting participants;
                                                                • -
                                                                • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, writing reports and other pieces to distribute knowledge;
                                                                • -
                                                                • Perform quantitative and qualitative analysis; and,
                                                                • -
                                                                • Other duties as assigned.
                                                                • -
                                                                -

                                                                PROFILE OF THE IDEAL CANDIDATE

                                                                -
                                                                  -
                                                                • You are a student or postdoctoral fellow studying at a Canadian post-secondary institute (university or college) or a recent graduate (within 1 semester of graduation).

                                                                • -
                                                                • You are motivated to apply machine learning techniques to real-world problems.

                                                                • -
                                                                • You have experience developing, refining, and deploying machine learning models to problems outside of the research/academic sector; experience in project management considered an asset.

                                                                • -
                                                                • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link sensitive data, privacy concerns, challenges associated with unstructured or unlabelled data).

                                                                • -
                                                                • You are a good communicator who is interested in helping non-technical professionals to understand machine learning and other AI techniques.

                                                                • -
                                                                • You are organized and efficient, with strong problem-solving skills.

                                                                • -
                                                                • You are creative, resourceful and with a strong intellectual curiosity, and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                • -
                                                                • You possess a positive attitude, integrity, a sense of humor, and bring a positive energy and outlook to a not-for-profit corporate culture.

                                                                • -
                                                                • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                                                                • -
                                                                • Your familiarity with GSuite and/or MS Office 365 applications would be an asset.

                                                                • -
                                                                -


                                                                -

                                                                Compensation: $25/hour.

                                                                -


                                                                -

                                                                If you have any questions, please contact internships@vectorinstitute.ai.

                                                                -


                                                                -

                                                                Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                -

                                                                At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                -

                                                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448361&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/236958270-ai-project-management-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -2ec90c25-5381-4573-8178-e4bd5aa50f7b,228136419,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:02.513Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 178348

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Overview:

                                                                -


                                                                The world is changing faster than ever and so are we!

                                                                -

                                                                -

                                                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                                -

                                                                -

                                                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                                -

                                                                -

                                                                What Are We Looking For?

                                                                -


                                                                We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

                                                                -

                                                                -

                                                                To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

                                                                -


                                                                Make an Impact

                                                                -

                                                                As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                                -

                                                                -

                                                                Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

                                                                -

                                                                -

                                                                Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

                                                                -

                                                                -

                                                                Is This Role Right for You?

                                                                -
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You know when to be doer, when to be a teacher and when to be a leader
                                                                • You are comfortable setting ambitious but realistic goals and are committed to achieving them
                                                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                                • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
                                                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
                                                                • You are committed to quality in everything you do – statistically, process and governance wise
                                                                • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • -
                                                                -

                                                                -

                                                                What Do You Need to Succeed?

                                                                -


                                                                General

                                                                -
                                                                • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
                                                                • A demonstrated history of analytic problem solving and sound judgment
                                                                • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
                                                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
                                                                • Excellent project, process & time management
                                                                • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
                                                                • -
                                                                -

                                                                ​​​​​​​

                                                                -

                                                                Technical

                                                                -
                                                                • Strong fundamental understanding of statistics
                                                                • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
                                                                • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • -
                                                                -

                                                                -

                                                                Nice to Have’s

                                                                -
                                                                • Proficient reading, writing and speaking Spanish
                                                                • MBA or other business / management degree
                                                                • FRM, CFA credentials
                                                                • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
                                                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                • Experience with public cloud infrastructure (GCP, Azure, AWS)
                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
                                                                • -
                                                                -

                                                                -

                                                                What’s In It for You?

                                                                -
                                                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                                • -
                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:53:01.322Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228136419-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -33efc8c5-4627-45f3-b6fc-11cb5b655d57,235578626,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.676Z,"

                                                                Minimum qualifications:

                                                                -
                                                                  -
                                                                • Currently enrolled in a Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  -
                                                                • -
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  -
                                                                • -
                                                                -

                                                                Preferred qualifications:

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                • -
                                                                • Currently attending a degree program in Canada.
                                                                • -
                                                                • Experience as a researcher, including internships, full-time, or at a lab.
                                                                • -
                                                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                  -
                                                                • -
                                                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                  -
                                                                • -
                                                                • Ability to speak and write in English fluently.
                                                                • +
                                                                • BS in Computer Science, Computer Programming, Informatics or equivalent
                                                                • +
                                                                • Insurance and/or Wealth Data Domain Product Experience
                                                                • +
                                                                • Knowledge of AWS and Database technologies
                                                                • +
                                                                • Familiarity with Data Science, including modeling
                                                                • +
                                                                • Familiarity with Data Engineering concepts such as ETL
                                                                • +
                                                                • Data Storyteller
                                                                • +
                                                                • Experience with managing multi-year roadmaps and business cases
                                                                • +
                                                                • Agile certification
                                                                -

                                                                About the job

                                                                -

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                -

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                                                                -

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                                                                -

                                                                Responsibilities

                                                                -
                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,24,101,https://talenthub.vectorinstitute.ai/jobs/235578626-student-researcher-ms-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -9b1984da-08a5-45d2-b82f-1e5c9fee2aa1,232594927,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-06-04T16:04:02.451Z,"
                                                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                                                -
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                                                  • -
                                                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                                                  • -
                                                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                                                  • -
                                                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • 4+ years working as a professional developer
                                                                  • -
                                                                  • 2+ years working as an engineering team manager
                                                                  • -
                                                                  • Experience hiring and building motivated engineering teams
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • -
                                                                  • Extensive experience working with NLP (including NER) and PyTorch
                                                                  • -
                                                                  • Experience with data engineering and machine learning design patterns and best practices
                                                                  • -
                                                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                                                  • -
                                                                  • Strong experience collaborating cross-functionally
                                                                  • -
                                                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-05T19:46:57.497Z,False,0,2,56,https://talenthub.vectorinstitute.ai/jobs/232594927-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, -43e498ae-0cc1-4904-bd32-5eba3594fa11,283724087,RBC,Client Intelligence - Associate,on_site,"Toronto, ON, Canada",2023-10-26T12:21:02.287Z,"
                                                                -

                                                                Job Summary

                                                                -

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                -

                                                                The Capital Markets Client Intelligence team is responsible for producing forward-looking analytics that enable RBC’s Capital Markets businesses to make informed decisions. The CI team leverages internal and external benchmarking data and client feedback to deliver client insights and highlight revenue generating opportunities to the Sales & Trading and Corporate & Investment Banking divisions in support of the firm’s key strategic initiatives. In addition to delivering best-in-class analytics and data visualizations, the team partners closely with technology to enhance client analytics tools and CRM used by the front office.

                                                                -

                                                                What will you do?

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • Leverage various data sources (internal metrics, benchmarking data, client feedback, CRM) to produce data visualizations in Tableau that highlight actionable client insights in support of strategic business initiatives
                                                                • -
                                                                • Coordinate the annual sales & client planning process and track monthly revenue forecasting and Sales KPIs
                                                                • -
                                                                • Partner with Sales and Sales Business Management in the development and design of business KPIs and Tableau dashboards
                                                                • -
                                                                • Coordinate client benchmarking efforts with external vendors including delivery of findings to the business
                                                                • -
                                                                • Lead integration of benchmarking data to produce actionable client insights
                                                                • -
                                                                • Support the Sales platform by leveraging client data and coordinating strategic initiatives to increase revenue and deepen relationships
                                                                • -
                                                                • Support Senior Relationship Management in the internal account review process to identify action plans to improve client rankings and increase revenues
                                                                • -
                                                                • Provide senior leadership client briefs and opportunity analysis ahead of client meetings
                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US - 2022
                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                • +
                                                                • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work
                                                                • +
                                                                • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.

                                                                -

                                                                What do you need to succeed?

                                                                +

                                                                #LI-Hybrid #LI-remote

                                                                -

                                                                Must-have:

                                                                -
                                                                  -
                                                                • Advanced proficiency in Tableau and Excel (pivot tables, formulas, charts & graphs)
                                                                • -
                                                                • Passion for data visualization and demonstrated ability to organize large amounts of data and effectively present metrics and analysis
                                                                • -
                                                                • Positive attitude and collaborative work approach
                                                                • -
                                                                • Ability to multi-task and manage multiple initiatives and competing priorities
                                                                • -
                                                                • Strong stakeholder management skills and ability to work in fast-paced environment
                                                                • -
                                                                • Strong written & verbal communication skills; ability to communicate confidently
                                                                • -
                                                                • Influencing skills; ability to build relationships with key internal stakeholders and partners
                                                                • -
                                                                • Self-starter, ability to progress and deliver initiatives with little direction / oversight
                                                                • -
                                                                • Ambitious & driven; doesn’t settle for status quo and consistently looks for ways to improve
                                                                • -
                                                                • Bachelor’s degree or higher; at least 2 years of work experience in data visualization and analytics
                                                                • -

                                                                -

                                                                Nice to have:

                                                                -
                                                                  -
                                                                • Capital Markets experience, knowledge of Global Markets products (Fixed Income, FX, Commodities, Futures and Equities) or Corporate & Investment Banking businesses
                                                                • -
                                                                • Experience with client provided ranking and feedback such as scorecards and broker votes
                                                                • -
                                                                • Experience working in a trading floor environment
                                                                • -
                                                                • Ability to effectively communicate to senior management in a concise manner
                                                                • -
                                                                • Strong presentation skills, ability to effectively convey messaging
                                                                • -
                                                                • Ability to synthesize large amounts of information to key takeaways and themes for senior management
                                                                • -
                                                                • Experience in supporting senior leadership teams
                                                                • -
                                                                -
                                                                • Proficiency in SQL, Python and / or Alteryx
                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                ​​​​​​​What’s in it for you?

                                                                -
                                                                  -
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual
                                                                • -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work and take on greater responsibilities
                                                                • -
                                                                • Access to leaders who support your development through coaching and mentoring opportunities
                                                                • -
                                                                • Work in a dynamic, collaborative, innovative, and high-performing team
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                What’s in it for you?

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                • Opportunities to building close relationships with clients
                                                                • -
                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                The good-faith expected salary range for the above position is $100,000- $155,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                                                                +

                                                                Salary Range:

                                                                76,000/76 000 - 125,000/125 000

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                12/10/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Product-Owner--Data-Enablement_JR00086181?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-16T12:33:02.760Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/277019769-product-owner-data-enablement-at-sun-life-financial,,expired,2023-10-05T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a8f9030d-eee4-4ccb-8c1c-18150946530e,303082230,BMO Financial Group,"Manager, Risk Modeling and Analytics,",on_site,"Ontario, Canada",2024-01-29T06:25:01.814Z,"
                                                                +

                                                                Application Deadline:

                                                                02/07/2024

                                                                -

                                                                RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                                                                -
                                                                  -
                                                                • Drives RBC’s high performance culture
                                                                • -
                                                                • Enables collective achievement of our strategic goals
                                                                • -
                                                                • Generates sustainable shareholder returns and above market shareholder value
                                                                • -
                                                                -

                                                                +

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                Job Skills

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                Experience with IFRS9 and CECL

                                                                -

                                                                Additional Job Details

                                                                -

                                                                Address:

                                                                BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK

                                                                City:

                                                                New York

                                                                Country:

                                                                United States of America

                                                                Work hours/week:

                                                                40

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Capital Markets

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-09-12

                                                                Application Deadline:

                                                                2023-10-18

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                -

                                                                +

                                                                Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                +
                                                                  +
                                                                • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                • +
                                                                • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                • +
                                                                • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                • +
                                                                • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                • +
                                                                • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                • +
                                                                • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                • +
                                                                • Conducts quantitative research in risks across strategies and portfolios.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Provides specialized consulting, analytical and technical support.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently and regularly handles non-routine situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.
                                                                • +

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000066740/Client-Intelligence-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-30T21:06:00.000Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/283724087-client-intelligence-associate-at-rbc,,expired,2023-10-26T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e1444bb7-b3a1-4a96-a84b-6991597c085a,277326467,TELUS,BI Platforms Administrator,on_site,"Ontario, Canada",2023-10-06T12:30:01.856Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                +

                                                                Qualifications:

                                                                +

                                                                Foundational level of proficiency:

                                                                +
                                                                  +
                                                                • Regulatory capital and stress testing.
                                                                • +
                                                                • Compliance and regulation.
                                                                • +
                                                                • Machine learning.
                                                                • +
                                                                • Learning Agility.
                                                                • +
                                                                • Systems Thinking.
                                                                • +
                                                                +

                                                                Intermediate level of proficiency:

                                                                +
                                                                  +
                                                                • Model risk management.
                                                                • +
                                                                • Data visualization.
                                                                • +
                                                                • Data wrangling.
                                                                • +
                                                                • Data preprocessing.
                                                                • +
                                                                • Critical thinking.
                                                                • +
                                                                • Driving Results.
                                                                • +
                                                                • Verbal & written communication skills.
                                                                • +
                                                                • Collaboration & team skills.
                                                                • +
                                                                • Analytical and problem solving skills.
                                                                • +
                                                                • Data driven decision making.
                                                                • +
                                                                +

                                                                Advanced level of proficiency:

                                                                +
                                                                  +
                                                                • Quantitative financial modeling.
                                                                • +
                                                                • Computational thinking and programming.
                                                                • +
                                                                • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Modeling-and-Analytics--IFRS9-and-CECL_R240001534?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-08T06:30:02.094Z,False,0,1,46,https://talenthub.vectorinstitute.ai/jobs/303082230-manager-risk-modeling-and-analytics-at-bmo-financial-group,,expired,2024-01-29T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1276345a-91f9-4dc7-951c-a03f91763684,304479155,Scotiabank,"Manager, Pre-Approved Strategies, Unsecured Origination (Data Analytics) (12 Month Contract)",on_site,Canada : Ontario : Toronto,2024-02-04T16:26:03.348Z,"

                                                                -

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights-driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high-quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                                -

                                                                We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                                +

                                                                Requisition ID: 189135

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                We are searching for a talented candidate to join our team in the role of BI Platforms Administrator. Reporting to the Manager – Analytics and Business Intelligence Platforms, the successful candidate will be responsible for administering and managing a number of BI Platforms and supporting teams to achieve their visualization, BI, and reporting use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, improved speed to market, and automation.

                                                                +

                                                                Purpose of Job:

                                                                -

                                                                The successful candidate will work closely with IT and Business groups to achieve business objectives while maintaining reliable and highly efficient BI systems.

                                                                +

                                                                The mandate of this role is to develop and monitor credit risk acquisition strategies, policies, and processes to optimize risk/return for credit cards, unsecured lines of credit, and over drafts for the Canadian retail portfolio.

                                                                +

                                                                The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Regulators.

                                                                +

                                                                This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

                                                                -

                                                                What you’ll do

                                                                +

                                                                Job Responsibilities:

                                                                -
                                                                  -
                                                                • Accountable for the support and availability of BI platforms and tools (e.g. Tableau)
                                                                • -
                                                                • Responsible for overall management of systems including installation, configuration, connectivity, patching, compliance, and automation opportunities
                                                                • -
                                                                • Provide oversight and guidance to offshore teams that support our BI platforms
                                                                • -
                                                                • Provide guidance to business teams on their Dashboard development efforts
                                                                • -
                                                                • Work with IT teams and business partners to conduct POCs, reduce user toil, and find opportunities to drive new innovation through data & business intelligence
                                                                • -
                                                                • Engage our BI Platform user communities fostering an environment of knowledge sharing, innovative solutions, and user driven problem resolution
                                                                • -
                                                                • Enable the migration of our BI platforms to cloud and support business teams through a period of change
                                                                • -
                                                                • Build exceptional relationships with peer groups across our IT and business teams
                                                                • -
                                                                • Identify opportunities for automation and implement CICD reducing toil and manual work
                                                                • -
                                                                • Implement best in class cloud solutions for BI, leveraging our current partnerships with vendors and our GCP data platform
                                                                • +

                                                                  Credit Risk Strategies

                                                                  +
                                                                  • Develop credit risk strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure

                                                                  • Promote best practices and leverage appropriate analytical tools for all strategy development and policy enhancements as well as leveraging information from credit bureau and other third-party data.

                                                                  • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.

                                                                  • Leverage champion/challenger capabilities and incorporate non-traditional data and innovation for continuous improvements to existing strategies.

                                                                  • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.

                                                                  • +
                                                                  +

                                                                  Portfolio Monitoring

                                                                  +
                                                                  • Monitor, assess and evaluate existing risk strategies to identify opportunities and recommend changes to pre-approval strategies to ensure the Bank remains within risk appetite.

                                                                  • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts.

                                                                  • +
                                                                  +

                                                                  Automation

                                                                  +
                                                                  • Demonstrate initiative to automate and simplify tasks to set risk thresholds to measure and control risks using technical or analytical skills and Tools such as PowerBI.

                                                                  • +
                                                                  +

                                                                  +

                                                                  Support Business Line Initiatives/Projects

                                                                  +
                                                                  • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework. 

                                                                  • Represent Risk’s point of view and liaise with stakeholders throughout the organization to socialize, and explain risk measures clearly and as appropriate.

                                                                  • Identify areas where new/enhanced policies or procedures need to be implemented to improve productivity and performance within risk appetite and recommend/implement appropriate changes.

                                                                  • +
                                                                  +

                                                                  +

                                                                  Canadian Regulator, Internal Audit and Fraud Management

                                                                  +
                                                                  • Support investigations and solutioning for OSFI findings and/or Internal Audit items in an appropriate and acceptable timeframe.

                                                                  • Liaise with the Fraud Department and Security and Investigations as required.

                                                                  +

                                                                  Job Requirements:

                                                                  -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                -

                                                                What you bring

                                                                -

                                                                -
                                                                  -
                                                                • You have experience in troubleshooting server and/or BI clients (e.g, Tableau Desktop) related issues
                                                                • -
                                                                • You have diverse backend databases experience e.g. Oracle, SQL Server, BigQuery, Web data connector etc
                                                                • -
                                                                • You have experience using Version Control Systems (e.g. GitHub) with Infrastructure-as-Code (e.g. Terraform) tools to manage Cloud Infrastructure changes
                                                                • -
                                                                • You have solid knowledge of Microsoft Windows Servers and their use in deploying production applications
                                                                • -
                                                                • You have a strong understanding in how to utilize metrics, monitoring, and alerting, for the purpose of maintaining system reliability and content governance
                                                                • -
                                                                • You understand that system stability drives availability and customer trust
                                                                • -
                                                                • You understand how to utilize identity management (e.g. LDAP) and authorization (e.g. IAM) to manage platform access
                                                                • -
                                                                • You have good understanding of DevOps & DataOps principles and tools
                                                                • -
                                                                • Strong communication and Community-of-Practice management skills
                                                                • +

                                                                  Desired: Bachelor’s degree or higher in business, statistics, economics, mathematics, computer science, data science or analytics.

                                                                  +
                                                                  • A minimum of 2-5 years in the risk/portfolio management field, with a successful track record of success in using analytical tools to conduct data analysis, ideally related to credit risk management.

                                                                  • Strong knowledge of SAS/SQL and Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques.

                                                                  • Able to translate data into digestible dashboards and business insights (Tableau, PowerBI, PowerApp)

                                                                  • Strong communication and relationship management skills complemented with solid analytical and problem-solving skills.

                                                                  • Project management and leadership skills to prioritize, manage and implement a variety of contesting initiatives is preferred.

                                                                  • Strong knowledge creating strategies that impact organization’s P&L

                                                                  • Prior experience in a retail lending environment or credit risk management is preferred.

                                                                  -

                                                                  Great-to-haves

                                                                  -

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Pre-Approved-Strategies%2C-Unsecured-Origination-%28Data-Analytics%29-%2812-Month-Contract%29-ON-M5C2W1/576921317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/304479155-manager-pre-approved-strategies-unsecured-origination-data-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Pre-Approved-Strategies%2C-Unsecured-Origination-%28Data-Analytics%29-%2812-Month-Contract%29-ON-M5C2W1/576921317/,expired,2024-02-04T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e02d20da-9633-48b5-9993-68e0d42eb332,312135967,Loblaw Companies Ltd,"Senior Analyst, Credit, Enterprise Risk Management - 18 Month Contract",on_site,"Ontario, Canada",2024-03-14T06:28:01.556Z,"
                                                                +

                                                                Referred applicants should not apply directly to this role.

                                                                +

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                +

                                                                +

                                                                +

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                +

                                                                When you hire great people, great things can happen.

                                                                +

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                +

                                                                +

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                +

                                                                +

                                                                Reporting to the Manager - Credit, Enterprise Risk Management, the Senior Analyst will be responsible for supporting the execution of key reporting, validations, and other high-visibility risk related deliverables across our portfolio. The company is looking for a curious and self-driven individual possessing the right critical thinking, analytics, data visualization, and interpersonal skills to proactively tap into existing processes for the second line of defense and seek new opportunities to improve the existing systems.

                                                                +

                                                                +

                                                                What You\'ll Do:

                                                                  -
                                                                • Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
                                                                • -
                                                                • Relevant Tableau Professional certification
                                                                • -
                                                                • 3+ years of progressive and relevant work experience managing/administering BI Platforms
                                                                • -
                                                                • Experience with the data offerings in Google Cloud Platform
                                                                • +
                                                                • Analyze data and prepare dashboards showcasing portfolio and industry trends.
                                                                • +
                                                                • Perform quality assurance to ensure adherence with the Bank’s credit risk policy and directives.
                                                                • +
                                                                • Provide support on strategic initiatives such as credit risk appetite and limit setting process, credit loss allowance assessment (i.e., IFRS9 model), and scorecard validation etc.
                                                                • +
                                                                • Ensure strong governance and effective controls through independent calculation and reconciliation of key risk metrics.
                                                                • +
                                                                • Use quantitative analysis to evaluate and monitor risk performance of credit risk strategy proposals, including but not limited to account acquisition and management.
                                                                • +
                                                                • Utilize reporting BI tools to support process automations and to improve efficiency.
                                                                • +
                                                                • Foster relationships with internal and external partners; collaborate with other business units to ensure that enterprise risk interests are addressed in business initiatives.
                                                                • +
                                                                • Ensure proper documentation is maintained for compliance and audit purposes.
                                                                -

                                                                -

                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-BI-Platforms-Administrator-ON/573619417/,feed-importer@jobboard.io,,,,2023-10-30T12:35:02.956Z,False,0,4,42,https://talenthub.vectorinstitute.ai/jobs/277326467-bi-platforms-administrator-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -cea4e451-9f66-4965-8757-35fa16c8a750,280466454,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-10-16T16:25:02.443Z,"
                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Workplace Model

                                                                -
                                                                Hybrid
                                                                -

                                                                -

                                                                Pay Details

                                                                -

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                Provide subject matter expertise and create a broad range of data models by applying a variety of techniques to build out complex data models
                                                                -

                                                                -

                                                                Job Details

                                                                -
                                                                Job Description

                                                                -

                                                                Customer Accountabilities:

                                                                -
                                                                  -
                                                                • Work closely with business owners to identify opportunities and serve as an ambassador for data modelling
                                                                • -
                                                                • Translate business requirements into technical requirements
                                                                • -
                                                                • Work closely with cross functional teams of data scientists and business process owners to deliver cutting edge analytic solutions
                                                                • -
                                                                • Design and deliver enterprise analytic solutions for the businesses
                                                                • -
                                                                • Work in a highly interactive and team-oriented environment with Data Scientists and Visualization experts
                                                                • -
                                                                -

                                                                -

                                                                Shareholder Accountabilities:

                                                                -
                                                                  -
                                                                • Work in a highly interactive, team-oriented environment with Data Scientists and Visualization experts
                                                                • -
                                                                • Ensure core Bank and source systems, data and metadata is appropriately managed to support business requirements / needs
                                                                • -
                                                                • Develop and/or design data solutions and conduct reviews of data models and outputs to validate and test quality of information / solutions
                                                                • -
                                                                -

                                                                -

                                                                Employee/Team Accountabilities:

                                                                -
                                                                  -
                                                                • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                                                                • -
                                                                • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                                                                • -
                                                                • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest
                                                                • -
                                                                • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
                                                                • -
                                                                • Establish effective relationships across multiple business and technology partners, program and project managers
                                                                • -
                                                                • Participate in knowledge transfer within the team and business units
                                                                • -
                                                                -

                                                                -

                                                                Breadth and Depth:

                                                                -
                                                                  -
                                                                • Act as a subject matter expert within their own area of specialization
                                                                • -
                                                                • May serve as an escalation or process reference within field of specialty
                                                                • -
                                                                • Act an information resource for others in their own area
                                                                • -
                                                                • Solve complex problems requiring analysis of multiple variables, which may include consultation with numerous stakeholders
                                                                • -
                                                                • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or escalated matters
                                                                • -
                                                                • Independently perform functions/activities from end to end
                                                                • -
                                                                • Generally reports to a Senior / Manager role
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Job Requirements

                                                                -
                                                                -

                                                                Experience and/or Education:

                                                                -
                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • 5+ years relevant experience
                                                                • -
                                                                -
                                                                -

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                -
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -
                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-02T16:30:04.400Z,False,0,13,92,https://talenthub.vectorinstitute.ai/jobs/280466454-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-10-16T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -0c03a72c-77ad-42b2-b2a9-b9b4db97be16,218284099,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-04-24T17:42:02.687Z,"

                                                                Description

                                                                -

                                                                Position: Staff Perception Developer - Localization and Mapping
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 5-10 Years Relevant Work Experience
                                                                Education: Graduate Degree in a related field
                                                                Division: OTTO Motors

                                                                -


                                                                About OTTO Motors, a division of Clearpath Robotics

                                                                -

                                                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                -

                                                                About the Job

                                                                -

                                                                We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                -

                                                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                -

                                                                About You

                                                                -

                                                                For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                -

                                                                Your primary responsibilities will be:

                                                                +

                                                                +

                                                                What You\'ll Need:

                                                                  -
                                                                • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
                                                                • -
                                                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                • -
                                                                • Evaluation of new algorithms and sensing technology
                                                                • -
                                                                • Assisting with concept development for new products and projects
                                                                • -
                                                                • Supporting deployment and testing of robotic systems
                                                                • +
                                                                • University degree in a quantitative field, Economics, Business Administration, Statistics, Mathematics, Computer Science or equivalent.
                                                                • +
                                                                • 3+ years working in the retail financial industry, credit risk management, data analysis / financial modeling / data mining role.
                                                                • +
                                                                • Fluent in Python and SQL. Familiarity with Cloud environment is a plus.
                                                                • +
                                                                • Intermediate understanding of credit risk management concepts and knowledge of credit scoring & risk assessment.
                                                                • +
                                                                • Self-starter with ability to work under pressure and tight timelines.
                                                                • +
                                                                • Strong interpersonal skills to work with multiple stakeholders and garner consensus.
                                                                • +
                                                                • Proficient in statistical analysis with knowledge of tools such as SAS.
                                                                • +
                                                                • Knowledge of life cycle risk systems such as TRIAD and TSYS is a plus.
                                                                • +
                                                                • High degree of proficiency in MS Office Applications including Excel, PowerBI, PowerPoint and VBA.
                                                                +

                                                                +

                                                                +

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                +

                                                                Number of Openings:

                                                                0

                                                                +

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                +

                                                                +

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                +

                                                                +

                                                                +

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Analyst--Credit--Enterprise-Risk-Management---18-Month-Contract_R2000445366?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-04-08T06:33:01.555Z,False,0,3,73,https://talenthub.vectorinstitute.ai/jobs/312135967-senior-analyst-credit-enterprise-risk-management-18-month-contract-at-loblaw-companies-ltd,,expired,2024-03-14T06:28:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +421fb795-52a1-4ce0-9ca8-51fec2c70963,316217245,BMO Financial Group,"Manager, Customer Insights & Reporting",on_site,"Ontario, Canada",2024-04-04T06:25:01.528Z,"
                                                                +

                                                                Application Deadline:

                                                                05/09/2024

                                                                +

                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                +

                                                                +

                                                                The Manager, Customer Insights and Reporting is responsible for the development, production, and ownership of customer metrics and reporting across Personal banking.

                                                                +

                                                                +

                                                                The individual will have an end-to-end project accountability. Beginning with understanding the business KPIs, they will leverage expertise in process design to determine an efficient and optimal process for delivering reporting results. Development will include structuring the data flow and setting up automation. Ownership will continue post-implementation and include investigations, improvements, and partner relations.

                                                                +

                                                                +

                                                                Key Accountabilities

                                                                +

                                                                Analytic Capabilities & Critical Thinking

                                                                  -
                                                                • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                • -
                                                                • Stay up to the date with the latest developments from academia and industry
                                                                • +
                                                                • Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
                                                                • +
                                                                • Internalize and understand the larger context of customer data elements and leverage a strong awareness of how customer and account attributes intersect.
                                                                • +
                                                                • Analyze large, complex datasets (from multiple sources both structured and unstructured) to drive insights and recommendations.
                                                                • +
                                                                • Be a practitioner of data best practices including QA, stable design, code optimization, and automation techniques.
                                                                • +
                                                                • Design and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.
                                                                -

                                                                Skills and experience:

                                                                +

                                                                +

                                                                Design and Delivery of Performance Reporting and Dashboards

                                                                  -
                                                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                • -
                                                                • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
                                                                • -
                                                                • Strong software development skills in modern C++.
                                                                • -
                                                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                • -
                                                                • Excellent leadership, teamwork, and communication skills.
                                                                • -
                                                                • Ability to independently develop software development plans, including scope, timelines, and test procedures.
                                                                • -
                                                                • Hands-on experience with real world autonomous systems.
                                                                • +
                                                                • Responsible for performance measurement reporting and visualization that monitors overall and incremental impact of customer growth in quantity and quality.
                                                                • +
                                                                • Lead the definition, creation and maintenance of standardized dashboards and performance reporting for Customer Insights and business partners.
                                                                • +
                                                                • Refine design proposals in collaboration with various stakeholders in Personal banking.
                                                                • +
                                                                • Apply thoughtful consideration to the best way to present complex materials in a consumable way.
                                                                • +
                                                                • Create new analyses and/or tools that deliver customer insights that enable business users to further their objectives.
                                                                -

                                                                Bonus points for:

                                                                +

                                                                +

                                                                Leadership and Relationship Management

                                                                  -
                                                                • Experience writing efficient, high performance code
                                                                • -
                                                                • ROS, Gazebo, OpenCV and PCL experience
                                                                • -
                                                                • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
                                                                • -
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                • +
                                                                • Work collaboratively with other analytics teams and business subject matter experts to refine personal understanding and ensure consistency in reporting and design.
                                                                • +
                                                                • Establish and communicate standards for accurate business requirement, technical specification and work process documentation associated with our metrics and reporting.
                                                                • +
                                                                • Engage with business partners to ensure needs are met, update on delivery status, and provide transparency and clarity to results.
                                                                • +
                                                                • Leverage consultative skills and knowledge of best-practices to provide guidance and consultative sessions with partners to share insights and recommendations rooted in data. Use these sessions to flag potential areas for deeper investigation, growth, or prioritization.
                                                                • +
                                                                • Consult with and deliver results to partners within tight time constraints that consistently meet or exceed their expectations.
                                                                -

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-05-24T20:16:41.911Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/218284099-staff-perception-developer-localization-and-mapping-at-clearpath,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -0d40bd76-ce30-4803-8176-7cfeb9abd17f,226986709,NVIDIA,Solution Architect – Drug Discovery and AI,on_site,"Ontario, Canada",2023-05-18T16:15:03.616Z,"
                                                                -

                                                                Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Solutions Architect to work with life sciences customers in EMEA focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

                                                                -

                                                                We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. As a Solution Architect, you will work with cutting-edge computing hardware and software as well as driving the latest breakthroughs in deep learning and artificial intelligence. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire domain. This role offers an excellent opportunity to expand your career while empowering the world\'s most successful companies and institutes. Join us in this exciting journey!

                                                                +

                                                                Risk Management

                                                                +
                                                                • Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements

                                                                -

                                                                What you will be doing:

                                                                -
                                                                  -
                                                                • You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs.

                                                                • -
                                                                • Staying up to date on the state of the art in your application domain and in the production deep learning and machine learning ecosystem. Your responsibilities will include enabling customer adoption of NVIDIA technology and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

                                                                • -
                                                                • Be a thought leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as cheminformatics or drug discovery.

                                                                • -
                                                                • Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

                                                                • -
                                                                • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

                                                                • -
                                                                • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

                                                                • +

                                                                  Cross Functional Relationships

                                                                  +

                                                                  This job requires the incumbent to interact with the following groups and/or processes in BMO FG and relevant external stakeholders:

                                                                  +
                                                                  • Managers and Senior Managers of Line of Business including:
                                                                      +
                                                                    • Analytics Centre of Excellence and all associated teams within
                                                                    • +
                                                                    • Canadian P & C Product groups
                                                                    • +
                                                                    • Customer Marketing
                                                                    • +
                                                                    • NA Channels
                                                                    • +
                                                                    • Technology and Operations
                                                                    • +
                                                                    • P&C Distribution - Sales & Service Divisions and North American Contact Centres
                                                                    +

                                                                  -

                                                                  What we need to see:

                                                                  +

                                                                  +

                                                                  Knowledge & Skills

                                                                  +

                                                                  +

                                                                  Knowledge

                                                                    -
                                                                  • AI/ML expertise, MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

                                                                  • -
                                                                  • 5+ years of work-related experience in software development of deep learning methods for scientific applications.

                                                                  • -
                                                                  • Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

                                                                  • -
                                                                  • Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

                                                                  • -
                                                                  • Familiarity with containers, numerical libraries, modular software design, version control

                                                                  • -
                                                                  • Background in molecular modeling and life sciences.

                                                                  • -
                                                                  • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skill.

                                                                  • -
                                                                  • Strong time-management and organizational skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

                                                                  • -
                                                                  • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain

                                                                  • +
                                                                  • BS/BA in Commerce, Finance, Statistics, Quantitative methods, Math, Computer Science, Marketing, or similar.
                                                                  • +
                                                                  • 3+ years of applicable experience.
                                                                  • +
                                                                  • Strong foundation in data and analysis.
                                                                  • +
                                                                  • Ability to pull data from multiple sources and formulate comprehensive and actionable reports
                                                                  • +
                                                                  • Strong analytic and pattern recognition to connect causal factors and form hypotheses.

                                                                  -

                                                                  Ways to stand out from the crowd:

                                                                  +

                                                                  Skills

                                                                    -
                                                                  • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

                                                                  • -
                                                                  • Background in CryoEM, Single cell sequencing or computational simulation is a plus

                                                                  • -
                                                                  • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

                                                                  • -
                                                                  • Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

                                                                  • -
                                                                  • Experience with distributed programming models for supercomputing applications, e.g., MPI.

                                                                  • -
                                                                  • Published record of thought leadership in a technical area or industry segment.

                                                                  • +
                                                                  • Expert proficiency in SQL, Excel, PPT.
                                                                  • +
                                                                  • Proficiency in SAS EG coding.
                                                                  • +
                                                                  • Strong communication skills (verbal & written); ability to provide concise, clear reporting, actionable analysis and presentations.
                                                                  • +
                                                                  • Ability to interact with all levels of end users and technical resources.
                                                                  • +
                                                                  • Experience in data visualization preferred, including visualization software such as Power BI, Microsoft Reporting Services, Spotfire or Tableau.
                                                                  • +
                                                                  • Creative problem-solving skills
                                                                  • +
                                                                  • A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
                                                                  • +
                                                                  • Self-motivation and the capacity to work under pressure and tight deadlines.
                                                                  • +
                                                                  • Proven ability to self-check work to ensure results are error-free
                                                                  • +
                                                                  • Ability to plan, organize and work on multiple tasks simultaneously
                                                                  • +
                                                                  • Technical experience working in analytical software, and business software (Excel, PowerPoint, Word)

                                                                  -

                                                                  NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.

                                                                  +
                                                                  +

                                                                  +

                                                                  Compensation and Benefits:

                                                                  +
                                                                  $68,000.00 - $126,000.00

                                                                  +

                                                                  Pay Type:

                                                                  Salaried

                                                                  +

                                                                  The above represents BMO Financial Group’s pay range and type.

                                                                  +

                                                                  +

                                                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                  +

                                                                  +

                                                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                  +

                                                                  We’re here to help

                                                                  +

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Solution-Architect---Drug-Discovery-and-AI_JR1966453-1,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/226986709-solution-architect-drug-discovery-and-ai-at-nvidia,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, -5b45ecf3-e0db-4f5c-a2e6-b5f5164e10f4,228138970,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-05-22T16:15:05.381Z,"
                                                                -

                                                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                -

                                                                -

                                                                You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                -

                                                                -

                                                                What You’ll Be Doing:

                                                                -
                                                                  -
                                                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                                                • -
                                                                • Work directly with key customers to understand their technology and provide the best solutions.

                                                                • -
                                                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                • -
                                                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                                                • -
                                                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                • +

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  +

                                                                  +

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  +

                                                                  +

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  +

                                                                  +

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Customer-Insights---Reporting_R240008647?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-04-08T06:31:02.455Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/316217245-manager-customer-insights-reporting-at-bmo-financial-group,,expired,2024-04-04T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bef093f8-2c91-48e8-9d78-24d89715189e,314969540,Scotiabank,"Director - Onboarding Systems, Reporting & Analytics (12 month contract)",on_site,Canada : Ontario : Toronto,2024-03-28T16:26:03.429Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 195942

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Global Banking and Markets

                                                                +

                                                                Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.

                                                                +

                                                                Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                                +

                                                                Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

                                                                +

                                                                +

                                                                What You’ll Do

                                                                +

                                                                +
                                                                • Establish a team which is responsible for the systems ownership of Fenergo, GBM’s client onboarding system, from a business perspective. Includes the development of a long-term vision for Fenergo and associated tools, vendor relationship management and product development, “business as usual” maintenance and 1st line support functions after system upgrades, audit support, regular reviews of user access controls.
                                                                • Responsible for proactively ensuring onboarding systems (Fenergo and others as required) remain in line with regulatory expectations, in particular adequate recordkeeping, and data quality. In the long term, the team will also look to develop Fenergo and other technology solutions to promote efficiency of onboarding processing times and client experience.
                                                                • Assess the need for and progressive establishment of core data governance controls within GBM Onboarding
                                                                • Lead the GBM Onboarding Reporting & Analytics function, in particular working closely with the GBM Onboarding team and other stakeholders to understand key business, AML/KYC and regulatory objectives and identify analytics that will provide insight/transparency, enable decision making, and support key regulatory initiatives.
                                                                • Codify best practices and identify opportunity to enhance reporting processes to drive effective and efficient reporting implementation. Develops appropriate tools, engages with technology to champion onboarding metrics and reporting related automation.
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursue effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                • +Champion a high-performance environment and contributes to an inclusive work environment.
                                                                -

                                                                -

                                                                What We Need to See:

                                                                -
                                                                  -
                                                                • Excellent verbal, written communication, and technical presentation skills in English.

                                                                • -
                                                                • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                                                • -
                                                                • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                • -
                                                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                • -
                                                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                                                • +

                                                                  What You’ll Bring

                                                                  +
                                                                  • At least ten years of financial services experience. Preference will be given to direct experience dealing with systems that have regulatory compliance implications and prior experience managing large technology vendor relationships.
                                                                  • An in depth understanding of capital market operations and trade lifecycle expertise and working familiarity with the corporate and investment banking business.
                                                                  • A working understanding of AML/KYC regulatory standards and processes in GBM jurisdictions
                                                                  • Sound judgment in identifying risks to proactively escalate with relevant senior management.
                                                                  • +Professionalism, sensitivity, and discretion required, including stringent confidentiality requirements.
                                                                  +

                                                                  Work Arrangement: This position is currently a Hybrid role. Please note that this is subject to change based on the needs of the business.

                                                                  +

                                                                  Interested?

                                                                  +

                                                                  At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.

                                                                  +

                                                                  What's in it for you?

                                                                  +

                                                                  Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Director-Onboarding-Systems%2C-Reporting-&-Analytics-%2812-month-contract%29-ON-M5H1J9/579450717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-08T16:33:03.316Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/314969540-director-onboarding-systems-reporting-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director-Onboarding-Systems%2C-Reporting-&-Analytics-%2812-month-contract%29-ON-M5H1J9/579450717/,expired,2024-03-28T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +2c7f489f-23f8-4f7f-8dcb-8e7ba792a77f,316336440,Roche,Data Management & Governance Analyst/ Specialist,on_site,"Mississauga, ON, Canada",2024-04-04T18:14:51.971Z,"

                                                                Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                -

                                                                Ways to Stand Out from The Crowd:

                                                                +

                                                                The Position

                                                                +

                                                                The Position:

                                                                +

                                                                And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

                                                                +

                                                                Are you excited about Data? Do you believe that data can make the organization become more successful and efficient in achieving its goals? Do you want to take charge and drive new and exciting data related initiatives and adoption of new concepts such as Data Mesh? Then your place is with us!

                                                                +

                                                                We are the Data & Analytics Chapter, part of Integrated Informatics at Roche. We build excellence and mastery in next generation data and analytics capabilities, including but not limited to Data Science, Data Engineering, Analytics and Data Management & Governance. We release value from data - all the way from Discovery to Insights.

                                                                +

                                                                In addition to partnering with teams across the business to develop solutions, scale and automate data pipelines, Data & Analytics Chapter members are uniquely placed to connect the dots across initiatives, promote information sharing across domains and recommend re-use of data, analytics and solutions wherever possible.

                                                                +

                                                                We are looking for a Data Management & Governance specialist who will join us in the newly setup Integrated Informatics for a journey to drive and promote efficient and effective information management throughout the organization.

                                                                +

                                                                The Data Management & Governance specialist must be the big-picture thinker who understands the value of data to the organization and the importance of good information management practices including information lifecycle management, information modelling, master data management and business requirements gathering.

                                                                +

                                                                In this position you are responsible for improving business performance and cost optimization through the use of business glossaries, information models, repositories and flows to meet the requirements of the business strategies and business processes.

                                                                +

                                                                +

                                                                The Opportunity:

                                                                +

                                                                You will work on various aspects of Data management and governance including but not limited to:

                                                                  -
                                                                • Experience running large scale distributed DL training.

                                                                • -
                                                                • Background with working with larger transformer-based architectures.

                                                                • -
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • -
                                                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                                                • +
                                                                • Assisting in identifying information value opportunities through strategic discussions with Senior Business and IT Leaders as needed and provides decision support
                                                                • +
                                                                • Working with the Informatics team define Information and Data Strategies as part of an overall Business Strategy.
                                                                • +
                                                                • Assisting in identifying areas for improvement in terms of information flows and structure, automation, information representation and advising project teams in best practice and implementation
                                                                • +
                                                                • Improving the overall quality of the enterprise data assets through the effective application of best practice in information design
                                                                • +
                                                                • Backlog Management: Priorities and maintain the product backlog, making continuous adjustments to reflect changing priorities and market dynamics.
                                                                • +
                                                                • Transform requirements into detailed user stories, acceptance criteria, and mockups that guide the development process.
                                                                • +
                                                                • Following up on the resolution of Incidents (e.g. maintaining the customer informed).
                                                                • +
                                                                +


                                                                Who you are:

                                                                +
                                                                  +
                                                                • 3-5 years of data strategy and data governance, preferably in a consulting environment with a min Bachelor’s Degree
                                                                • +
                                                                • Is principally focused on enterprise information solutions, such as master data management, metadata management, business intelligence, data interoperability, data analysis, data quality, data integration.
                                                                • +
                                                                • Understands Data Mesh paradigm
                                                                • +
                                                                • Exhibits an Agile mindset
                                                                • +
                                                                • Understands database structures and their relationships, as well as data models and data standards.
                                                                • +
                                                                • Ability to create advanced SQL queries.
                                                                • +
                                                                • Ability to work with REST APIs through tools such as Postman.
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228138970-senior-ai-solutions-architect-at-nvidia,,expired,2023-05-22T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -6749ea36-5429-4e4b-b380-a0b3d8bdcac3,219396172,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-04-27T17:37:02.506Z,"

                                                                Senior Manager - Data Risk - Quality and Governance Management

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: 18-May-2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                -
                                                                -

                                                                We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

                                                                -

                                                                -

                                                                The opportunity

                                                                -

                                                                -

                                                                EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

                                                                -

                                                                -

                                                                We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

                                                                -

                                                                -

                                                                Your key responsibilities

                                                                -

                                                                -

                                                                As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

                                                                -

                                                                -

                                                                You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

                                                                -

                                                                -

                                                                You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

                                                                -

                                                                -

                                                                This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

                                                                -

                                                                -

                                                                Additional responsibilities include:

                                                                -
                                                                • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
                                                                • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
                                                                • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
                                                                • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
                                                                • Assisting clients with setup of 3 LOD data risk management framework
                                                                • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
                                                                • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
                                                                • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                                                • -
                                                                -


                                                                Skills and attributes for success

                                                                -
                                                                • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
                                                                • Be self-motivated and passionate about data strategy, management, governance and risk
                                                                • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
                                                                • -
                                                                -


                                                                To qualify for the role, you must have

                                                                -
                                                                • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
                                                                • Bilingual skills in French and English are a strong asset
                                                                • 5+ years of experience developing data management and governance strategies
                                                                • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                                • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                                                • Knowledge of SQL with experience operating in big data environments.
                                                                • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
                                                                • Strong leadership experience within data management and governance
                                                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                                • Experience with data management tools such as Collibra, Informatica, etc.
                                                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                                                • Experience of Agile and traditional SDLC delivery methodologies
                                                                • -
                                                                -


                                                                Ideally, you’ll also have

                                                                -
                                                                • Prior consulting experience
                                                                • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                                                                • -
                                                                -


                                                                What we look for

                                                                -

                                                                -

                                                                If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

                                                                -

                                                                -

                                                                What we offer

                                                                -

                                                                -

                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                -

                                                                -

                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                -
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • -
                                                                -

                                                                -

                                                                Diversity and Inclusion at EY

                                                                -

                                                                -

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                -
                                                                -
                                                                -
                                                                EY | Building a better working world
                                                                -
                                                                -
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                -
                                                                -
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                -
                                                                -
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-05-28T03:11:12.749Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219396172-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-04-27T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -9f570b44-9a6b-4ebd-a66b-f04aee2a4563,204324024,CN,Expert Solution Design (Data engineering),on_site,"Ontario, Canada",2023-03-13T17:42:03.572Z,"

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                -
                                                                -

                                                                Job Summary

                                                                -

                                                                The Expert Solution Design is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Solution Design develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                +

                                                                This position is not open for relocation support.

                                                                -

                                                                Main Responsibilities

                                                                Data Engineering

                                                                +

                                                                Who we are

                                                                +

                                                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                -

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                -

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                -

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                -

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                -

                                                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                -

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                -

                                                                · Integrate analytics and data science results with business processes

                                                                -

                                                                · Promote effective data management practices

                                                                +

                                                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                -

                                                                Data Design

                                                                +

                                                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                -

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                -

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                -

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                -

                                                                · Expose the data into meaningful formats, like GraphQL

                                                                -

                                                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                -

                                                                · Participate in building data engineering expertise and framework

                                                                -

                                                                · Translate business needs into technical requirements

                                                                +

                                                                Roche is an Equal Opportunity Employer.

                                                                +

                                                                Explore Location

                                                                ",,https://careers.roche.com/global/en/job/202404-108044/Data-Management-Governance-Analyst-Specialist,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-04-09T18:06:00.000Z,False,0,2,40,https://talenthub.vectorinstitute.ai/jobs/316336440-data-management-governance-analyst-specialist-at-roche,,expired,2024-04-04T18:14:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +a40099d2-417b-425a-b3d2-cd45e8c198cb,314922611,CIBC,"Manager, Analytics & Automation",on_site,"Ontario, Canada",2024-03-28T06:24:02.045Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                -

                                                                Data Development

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                -

                                                                · Acquire, ingest and process data from multiple sources and systems

                                                                -

                                                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                -

                                                                · Conduct metadata management, data cleansing and preparation

                                                                -

                                                                · Produce well documented quality codes

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                -

                                                                Data Operations - 10% -

                                                                -

                                                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                -

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                -

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                -

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                +

                                                                What you’ll be doing

                                                                +


                                                                Reporting to Director, Analytics & Automation you will be a contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Manager will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                                                -

                                                                Data Quality Assurance

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You will have the flexibility to manage your work activities within a hybrid work arrangement where you will spend 1-3 days per week on-site, while other days will be remote.

                                                                -

                                                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                -

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                -

                                                                · Maintain manual and automated test scripts

                                                                +

                                                                How you’ll succeed

                                                                +
                                                                  +
                                                                • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.

                                                                • +
                                                                • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.

                                                                • +
                                                                • Work closely with Internal Auditors and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.

                                                                • +
                                                                • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.

                                                                • +
                                                                • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.

                                                                • +

                                                                -

                                                                Working Conditions

                                                                +

                                                                Who you are

                                                                +
                                                                  +
                                                                • You have a degree (preferably at the graduate level) in Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background. Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.

                                                                • +
                                                                • You can demonstrate knowledge of data analysis tools, languages, and methodologies (SAS, Power BI, Python, Cloud Computing). It is an asset if you have knowledge of CIBC data sources, applications and system platforms. Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • +
                                                                • You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best. Creative skills sufficient to adapt to new technologies and analytical methodologies and select the most suitable approach while satisfying audit operating guidelines.

                                                                • +
                                                                • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

                                                                • +

                                                                -

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                -

                                                                +

                                                                What CIBC Offers

                                                                -

                                                                Requirements

                                                                Experience

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +

                                                                -

                                                                Data Engineering

                                                                -

                                                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                -

                                                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                -

                                                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                -

                                                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                -

                                                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                -

                                                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                -

                                                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                -

                                                                · Experience with Linux and shell scripting

                                                                -

                                                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                -

                                                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                -

                                                                · Experience working in an Agile team environment

                                                                +

                                                                *Subject to plan and program terms and conditions

                                                                -

                                                                Education/Certification/Designation

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +

                                                                -

                                                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                -

                                                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                -

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                -

                                                                · Google or Azure Data Engineering certification*

                                                                -

                                                                *Any designation for these above would be considered as an asset

                                                                -

                                                                Competencies

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                -

                                                                · Ability to communicate complex solutions

                                                                -

                                                                · Applies analytical thinking

                                                                -

                                                                · Innovates through problem solving

                                                                -

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                -

                                                                · Demonstrates organizational abilities and detail oriented

                                                                -

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                -

                                                                · Works independently with little supervision

                                                                -

                                                                · Applies agile mindset

                                                                -

                                                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                -

                                                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                -

                                                                Technical Skills/Knowledge

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-81 Bay, 34th Floor

                                                                +

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                +

                                                                Skills

                                                                Analytical Thinking, Auditing, Automation Technology, Data Analysis, Innovation, Interpersonal Communication, Microsoft Power BI, Python (Programming Language), Reporting and Analysis, Statistical Analysis Software (SAS), Structured Query Language (SQL)
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Manager--Analytics---Automation_2407430?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-11T21:56:00.000Z,False,0,3,59,https://talenthub.vectorinstitute.ai/jobs/314922611-manager-analytics-automation-at-cibc,,expired,2024-03-28T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b5bfe8d2-9a4b-4fb2-8aec-2b1fd2551ea2,316500501,Shopify Inc.,"Staff (Lead) Product Data Scientist, Multiple Roles",full,Canada,2024-04-05T20:24:37.313Z,"

                                                                About Shopify

                                                                +

                                                                Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                +

                                                                This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                -

                                                                · Strong data analytics and development skills

                                                                -

                                                                · Demonstrated creativity skills

                                                                -

                                                                · Expertise in a combination of Scala, Java or Python

                                                                -

                                                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                -

                                                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                -

                                                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                -

                                                                · Expertise with GraphQL*

                                                                -

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                +

                                                                About you

                                                                +

                                                                Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                +

                                                                Before you apply, consider if you can:

                                                                +
                                                                  +
                                                                • Care deeply about what you do and about making commerce better for everyone
                                                                • +
                                                                • Excel by seeking professional and personal hypergrowth
                                                                • +
                                                                • Keep up with an unrelenting pace (the week, not the quarter)
                                                                • +
                                                                • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                • +
                                                                • Bring critical thought and opinion
                                                                • +
                                                                • Embrace differences and disagreement to get shit done and move forward
                                                                • +
                                                                • Work digital-first for your daily work
                                                                • +

                                                                -
                                                                -About CN

                                                                -

                                                                -

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                About the role

                                                                +

                                                                About the role

                                                                +

                                                                As a Product Analytics professional, you'll be tasked with transforming raw data into actionable insights that will help guide the development and improvement of our products. This role isn't for the faint-hearted or those seeking a conventional corporate structure - we operate on the principles of low process, high trust, and high impact. It's all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

                                                                +

                                                                Our product is designed to empower entrepreneurs and stimulate personal growth. Consequently, the work you do will not only create value for our users but also contribute to global entrepreneurship. To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                                                                +

                                                                As a Staff Data Scientist, you will partner with Product, Engineering, UX, and other disciplines to lead through data and achieve product/business goals. Product Data Scientists are expected to:

                                                                +
                                                                  +
                                                                • Proactively identify and champion projects that solve complex problems across multiple domains and business areas.
                                                                • +
                                                                • Partner closely with product, engineering and other business leaders to influence high level strategy, product development, and program decisions with data
                                                                • +
                                                                • Holistically own general problems across product/business domains and drive the right outcomes for all of Shopify.
                                                                • +
                                                                • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products that are effective for their purpose and model excellence for the entire organization.
                                                                • +
                                                                • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to directly drive substantial improvements to our business
                                                                • +
                                                                • Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables or schemas that support business processes.
                                                                • +
                                                                • Influence leadership to drive more data-informed decisions and to nurture a culture of using data effectively company-wide.
                                                                • +
                                                                • Define and advance best practices within data science and product teams across Shopify.
                                                                • +
                                                                +

                                                                There are many different teams looking for Product Data Scientists to partner with and help drive value for our merchants. These include:

                                                                +

                                                                Buyer Trust/Shop Promise Data Science

                                                                Our Shop Promise product helps merchants build trust with buyers by guaranteeing fast and reliable deliveries, setting clear delivery date expectations and coaching merchants to improve delivery habits. This is a strategic priority for Shopify to improve merchant success and buyer experiences. Our data science team owns the machine learning data products that powers Shop Promise and is responsible for partnering with product, engineering and UX teams to develop product strategy and roadmap to maximize the impact of Shop Promise.

                                                                +

                                                                Checkout & Storefront

                                                                +

                                                                The Core Product Data Science team combines leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants. Data Scientists turn data into actionable insights through a number of analytical methods, such as A/B tests, In-depth studies, advanced modeling, data visualizations, etc. to shape and support our product development strategies.

                                                                +

                                                                Commercial/Revenue Analytics

                                                                +

                                                                The Commercial/Revenue Analytics team provides data insights to help our revenue leadership team with understanding business performance through data, support key business decisions, and advise on business operational improvement opportunities. As a Staff Product Data Scientist, you’ll help advance the data maturity of the team to move from descriptive analytics into predictive/prescriptive analytics so we can leverage data to strengthen performance and effectiveness across pre-sales, to sales, and post-sales.

                                                                +

                                                                Revenue Marketing Data Science

                                                                +

                                                                The Revenue Marketing Data Science team at Shopify blends advanced marketing expertise with rigorous analytical methodologies to optimize our revenue strategies. As a Staff Product Data Scientist, you'll transform vast marketing data into actionable insights, employing techniques from performance marketing to brand measurement, ABM, and multi-touch attribution. Your analyses – which may range from A/B tests to in-depth studies – will be instrumental in refining and guiding our revenue marketing efforts.

                                                                +

                                                                Support Data Science

                                                                +

                                                                The Support Data Science team builds data products to continuously enable the monitoring and improvement of Shopify’s customer service, knowledge management, merchant satisfaction and retention using cutting edge analytical and AI-powered methodologies such as causal inference, predictive analytics, prescriptive analytics, etc. Additionally, this team is responsible for synthesizing the voice of customers (Shopify merchants) from all merchant interactions and providing critical feedback for Shopify’s product improvements. Support Data Scientists play a crucial role in ensuring our merchants are successful on the shopify platform, adopt our new products and are growing their GMV which consequently leads to higher revenue for Shopify.

                                                                +


                                                                +

                                                                Qualifications

                                                                +
                                                                  +
                                                                • Extensive experience in technical leadership and mentoring of junior data scientists
                                                                • +
                                                                • Proven track record of successfully leading and delivering complex, scalable data projects
                                                                • +
                                                                • End-to-end experience of deploying data products at scale
                                                                • +
                                                                • Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
                                                                • +
                                                                • Extensive experience in a data science role solving large-scale, high impact business problems
                                                                • +
                                                                • Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
                                                                • +
                                                                • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                • +
                                                                • Deep understanding of advanced SQL techniques and data modeling
                                                                • +
                                                                • Well versed with various Business Intelligence platforms and tools
                                                                • +
                                                                • Experience working with various levels of business stakeholders, from c-suite to Data Science senior leadership
                                                                • +
                                                                • Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
                                                                • +
                                                                • Experience creating data product strategies, building data products, and continued iteration after launch
                                                                • +
                                                                • Experience launching productionized machine learning models at scale is a plus
                                                                • +
                                                                • Extensive domain experience in e-commerce, sales & marketing or SaaS is a plus
                                                                • +

                                                                -
                                                                +

                                                                We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.

                                                                ",,https://www.shopify.com/careers/staff--lead--product-data-scientist--multiple-roles_e7e61104-90bf-449a-adcb-a446f15a2c35,aitalent@vectorinstitue.ai,https://www.shopify.ca/careers,,,2024-04-11T21:59:00.000Z,False,0,0,17,https://talenthub.vectorinstitute.ai/jobs/316500501-staff-lead-product-data-scientist-multiple-roles-at-shopify-inc,,expired,2024-04-05T20:24:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,No Degree,New Posting, +6a347d6a-25da-425a-b7e5-69c8cdd460ff,198986184,RBC,"Manager, Data Analytics",on_site,"Toronto, ON, Canada",2023-02-23T17:16:04.662Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Manager, Data Analytics

                                                                +

                                                                Job Description

                                                                +

                                                                What is the Opportunity?

                                                                +

                                                                The Data Analytics Manager will assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms.

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.
                                                                • +
                                                                • Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s).
                                                                • +
                                                                • Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit.
                                                                • +
                                                                • Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions.
                                                                • +
                                                                • Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit.
                                                                • +
                                                                • Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.
                                                                • +
                                                                • Create and maintain foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
                                                                • +
                                                                • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
                                                                • +
                                                                • Support the prioritization of analytics based on areas of best return; deciding on accept/decline analytics and automation activities for the Lab to execute on; hosting regular cadence with lab stakeholders; ensuring analytics initiatives are tracked in central repository.
                                                                • +
                                                                • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
                                                                • +
                                                                • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors
                                                                • +
                                                                • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
                                                                • +
                                                                • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
                                                                • +
                                                                • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
                                                                • +
                                                                • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
                                                                • +
                                                                • Support the adoption of centrally developed data products in the platform with support from the DMA team and global adoption of IA wide data initiatives.
                                                                • +
                                                                • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
                                                                • +
                                                                • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
                                                                • +
                                                                • Support gathering and triage feedback for technical experts on an ongoing basis
                                                                • +
                                                                • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
                                                                • +
                                                                • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
                                                                • +
                                                                • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors
                                                                • +
                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +
                                                                  +
                                                                • Bachelor’s Degree; Masters or Advanced Degree preferred
                                                                • +
                                                                • Knowledge of financial industry regulatory guidelines
                                                                • +
                                                                • Proficient in auditing principles and techniques
                                                                • +
                                                                • Proficient written and oral communication skills
                                                                • +
                                                                • Proficient in project management
                                                                • +
                                                                • Good understanding of programming languages (Python, SQL, R)
                                                                • +
                                                                • Strong understanding and experience using data visualization tools
                                                                • +
                                                                • A strong understanding of Data Analytics to optimize use
                                                                • +
                                                                • Ability to learn new and emerging technologies
                                                                • +
                                                                • Ability to work in a dynamically changing environment.
                                                                • +
                                                                • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
                                                                • +
                                                                • Demonstrated ability to calculate ROI for projects of various complexity and scale
                                                                • +
                                                                • Working knowledge of Python, SQL, Data Visualization, UX/UI
                                                                • +
                                                                • Strong knowledge of Agile or other lean methodologies
                                                                • +
                                                                • Strong knowledge of design, development, and implementation experience utilizing data technologies
                                                                • +
                                                                • Proficient analytical and problem-solving skills
                                                                • +
                                                                • Strong data profiling, cleaning, and mining
                                                                • +
                                                                • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                                                                • +
                                                                • Expert data extract, transform, and load processes with a variety of data types
                                                                • +
                                                                • 2+ years of experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
                                                                • +
                                                                • Strong interpersonal and communication skills: Ability to explain complex Audit and Technological concepts to various stakeholders ranging from Specialists to Executives
                                                                • +
                                                                • Strong aptitude for Collaboration, Stakeholder Management and Relationship Management
                                                                • +
                                                                • Domain Knowledge and capacity to research and effectively understand innovative concepts, including but not limited to Emerging Financial Risk and Regulation, Artificial Intelligence, Big Data, UX/UI, and Data Visualization
                                                                • +
                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Opportunities to building close relationships with clients
                                                                • +
                                                                +

                                                                +

                                                                The good-faith expected salary range for the above position is $110,000 - $190,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                                                                +

                                                                RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                                                                +
                                                                  +
                                                                • Drives RBC’s high performance culture
                                                                • +
                                                                • Enables collective achievement of our strategic goals
                                                                • +
                                                                • Generates sustainable shareholder returns and above market shareholder value
                                                                • +
                                                                +

                                                                +

                                                                USAUDIT23

                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                Jersey City, New Jersey, United States of America

                                                                City:

                                                                USA-NJ-JERSEY CITY

                                                                Country:

                                                                United States of America

                                                                Work hours/week:

                                                                40

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2022-11-16-08:00

                                                                Application Deadline:

                                                                2023-01-16-08:00
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000034713/Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-27T20:40:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/198986184-manager-data-analytics-at-rbc,,expired,2023-02-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +5b1866aa-d5dc-4f00-bb89-a36a4c0252fb,192003386,TELUS,Data Scientist - Wireless Network Performance,on_site,"Ontario, Canada",2023-02-02T17:42:02.077Z,"
                                                                +
                                                                +

                                                                +
                                                                +

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-27T17:47:04.802Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/204324024-expert-solution-design-data-engineering-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c9f7d4c8-1202-4678-8bf7-67a44c389770,206568790,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:01.827Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 173761

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -

                                                                -

                                                                As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                +

                                                                There’s a lot of buzz around the next leaps in wireless network optimization, leveraging data science, big data and machine learning. Join a team that is re-thinking how we optimize our wireless network by blending wireless engineering, computational analysis, and programming. At TELUS, with over 9 million subscribers, there’s a lot of data being generated from our network, and with this lies untapped potential for data mining and advanced insights towards improving our customers’ wireless experience.

                                                                -

                                                                +

                                                                As a Data Scientist and member of Eastern Canada\'s wireless network performance team, you\'ll play a critical role in the optimization of the Radio Access Network (RAN) by developing automation policies and algorithms, workflow and data processing services and finding new angles/methods to improve network performance, efficiently. You\'ll join the larger Wireless Networks & Services DevOps team that is providing TELUS customers with the most reliable network and the best user experience in every region of the country.

                                                                -

                                                                What your role will be:

                                                                -

                                                                +

                                                                In our team, you\'ll ensure our customers\' wireless experience continuously improves. Your ""think outside of the box"" and innovation will help shape our Key Performance Indicators (KPIs) that we use to govern our customers\' wireless experience. Your data science and automation mindset will provide inputs to our team to improve the quality and efficiency of the way we do network performance engineering.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                +
                                                                +

                                                                What you’ll do

                                                                -
                                                                • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                                                • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                                                • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                                                • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                • Present results to business line stakeholders and help implement real data-driven changes
                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                                                • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                                • Skills you already have:
                                                                • +
                                                                    +
                                                                  • Use data to:
                                                                      +
                                                                    • discover opportunities to improve our processes
                                                                    • +
                                                                    • enhance our decision-making ability
                                                                    -

                                                                    +
                                                                  • +
                                                                  • Explore data to:
                                                                      +
                                                                    • design innovative predictive models and metrics
                                                                    • +
                                                                    • develop dashboards to uncover actionable insights
                                                                    • +
                                                                    +
                                                                  • +
                                                                  • Lead the development, validation, and deployment of AI/ML models and bring these to production
                                                                  • +
                                                                  • You’ll be exposed to the latest wireless technology innovation planned for TELUS, and be ready to support their launch from a performance management perspective
                                                                  • +
                                                                  +
                                                                +
                                                                +
                                                                +

                                                                +
                                                                +

                                                                What you bring

                                                                +
                                                                  +
                                                                • A passion for how data can be used to uncover new insights, solve problems and drive effective actions
                                                                • +
                                                                • A strategic thinking and a bias for action and driving change
                                                                • +
                                                                • Curious and creative in looking at metrics to identify new critical metrics for the team
                                                                • +
                                                                • Master visualizations and be able to explain complex topics to non-technical audiences
                                                                • +
                                                                • You value deploying Machine Learning and AI solutions for problems solving
                                                                • +
                                                                • You are a strong software developer, you regularly and primarily develop in Python
                                                                • +
                                                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                • +
                                                                • Minimum of 3+ years of working with large data sets and analyzing data to identify patterns and in writing and testing code proficiently
                                                                • +

                                                                -

                                                                Education / Experience:

                                                                +

                                                                Great-to-haves

                                                                -
                                                                • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                                                • Experience with machine learning, statistical techniques, as well as model testing and validation
                                                                • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
                                                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                • Programming skills in Python, Java, or Scala
                                                                • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                                                • Experience with UNIX tools and shell scripting preferred
                                                                • Expertise with Docker or Kubernetes is an asset
                                                                • Experience with various services on Google Cloud Platform is an asset
                                                                • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                                                • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                                                • Experience using and implementing visualization tools is an asset
                                                                • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                                                • Experience working with cross-functional team in an Agile environment is an asset
                                                                • Strong verbal, written, presentation & communication skills
                                                                • Proactive, organized, excellent analytical and problem-solving skills
                                                                • +
                                                                    +
                                                                  • Google Cloud Platform and tools knowledge
                                                                  • +
                                                                  • Bachelor degree in Computer Science or Engineering or equivalent, or equivalent education and/or experience

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-27T17:27:03.683Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/206568790-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:05.053Z,"
                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Scarborough-Data-Scientist-Wireless-Network-Performance-ON/567290117/,feed-importer@jobboard.io,,,,2023-02-27T20:39:00.000Z,False,0,18,58,https://talenthub.vectorinstitute.ai/jobs/192003386-data-scientist-wireless-network-performance-at-telus,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +ca804364-4056-4004-8a34-92f321c2abfa,198034043,TD Bank Group,BI Specialist,on_site,"Toronto, ON",2023-02-20T17:24:06.069Z,"

                                                                Company Overview

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                @@ -57922,47 +57365,151 @@ ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer

                                                                Department Overview

                                                                -
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                -
                                                                +

                                                                The Treasury and Balance Sheet Management (TBSM) department of TD Bank is responsible for measurement and management of the bank’s domestic and foreign subsidiary banking portfolio. TBSM looks after liquidity and funding management, cash management, investment strategy, capital management, funds transfer pricing, and market risk management.
                                                                The Market Risk Measurement and Analytics (MRMA) team within TBSM is responsible for measuring and reporting the interest rate, equity, and foreign exchange risks for TD non-trading portfolio. The mandates include:
                                                                • Producing risk measurement reporting focused on understanding current market risk exposure and risk limits.
                                                                • Performing analytics to deepen our understanding or market risk and provide valuable insight & recommendations for management decisions.
                                                                • Putting in place best-in-class governance processes to ensure accuracy of results.
                                                                • Ensuring that our people have the right skills to deliver best-in-class analytics and ALM modeling.
                                                                • Effectively communicating our results and insights to our stakeholders.
                                                                • Building a best-in-class risk analytics infrastructure.

                                                                Job Description

                                                                -
                                                                The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                -

                                                                What are your main responsibilities?

                                                                -
                                                                  -
                                                                • Own and ship product features that enable ML engine capabilities
                                                                • -
                                                                • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                • -
                                                                • Work with research scientists and MLOps team to maintain service product.
                                                                • -
                                                                -
                                                                +

                                                                The Manager will monitor the bank’s FX risk position against approved limits, and proactively provide insight and recommendations to ensure the known significant events are hedged on a timely basis through stable reporting output. Furthermore, the Manager will proactively explain changes in risk measures with reference to hedging books and strategies.
                                                                Key Responsibilities Include:
                                                                • Support key stakeholders by performing market risk analytics to provide value-add guidance.
                                                                • Review current processes and pro-actively make changes or propose initiatives to improve efficiencies to provide more effective business support.
                                                                • Support the team through various initiatives
                                                                • Foster and maintain effective working relationships with business partners
                                                                • Understand and comply with TD Policies, regulatory and compliance requirements

                                                                Requirements

                                                                -Must-Have:

                                                                -
                                                                  -
                                                                • Experience with building and scaling data-intensive software.
                                                                • -
                                                                • You value good software design and sweat over details in code and API design.
                                                                • -
                                                                • You enjoy learning new technology and also educating others.
                                                                • -
                                                                • You take great personal pride in building robust and scalable software.
                                                                • -
                                                                • You strive to communicate clearly and with empathy.
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                • -
                                                                -

                                                                Nice to have

                                                                -

                                                                Experience building a library or a framework.
                                                                Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.
                                                                Knowledge of distributed systems.

                                                                +

                                                                Competencies and Personal Qualities:
                                                                • Excellent communication and presentation skills. Ability to leverage visualization tools, such as Tableau, to explain complicated concept in a clear and concise manner to senior and executive level audiences.
                                                                • Self-starter with a proven ability to meet deadlines, own initiatives, and work effectively under minimum supervision.
                                                                • Strong conceptual, analytical, and problem-solving capabilities. An ideal candidate is self-driven individual with a strong sense of curiosity, able to assess potential drivers and resolutions when issues rise.
                                                                • Able to multitask while maintaining attention to detail with tight timelines.
                                                                • Quick to learn and apply new concepts
                                                                • Excellent interpersonal skills; team player

                                                                +

                                                                Experience:
                                                                • 5 years financial service or consulting practice experience in the areas of Asset Liability Management, risk management accounting and/or finance.
                                                                • Superior understanding of the bank’s accounting principles and system.
                                                                • Superior understanding of FX hedging instruments including derivatives.
                                                                • Solid knowledge of retail banking product features and characteristics.
                                                                • Proficient with computer tools (SQL, Tableau) for data query, visualization and analytics.

                                                                +

                                                                Additional Information
                                                                Specific Educational Requirements/Accreditations:
                                                                • Post-secondary degree in Finance, Math, Business, or Economics
                                                                • MBA, CFA, FRM, CA, and/or CMA considered assets

                                                                -

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                -

                                                                Hours

                                                                37.5

                                                                Inclusiveness

                                                                -
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:35:46.537Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/198034030-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3e6af86b-2f09-4076-b502-2383408b3b4e,198986742,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-02-23T17:20:02.831Z,"
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-27T20:39:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/198034043-bi-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17706532/bi-specialist-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, +9afd2875-27b9-49fd-bb0c-4bfaac65a220,196079108,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2023-02-13T17:41:03.730Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                +

                                                                +

                                                                Job Description:

                                                                +

                                                                +

                                                                Role Summary

                                                                +

                                                                +

                                                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                                +

                                                                +

                                                                The Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                +

                                                                +

                                                                Sun Life views success in this role in demonstration of these key attributes:

                                                                +

                                                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                +

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                                                • +
                                                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                                                • +
                                                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                                                • +
                                                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                                                • +
                                                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                                                • +
                                                                • Champion and support diversity and inclusion

                                                                • +
                                                                +

                                                                +

                                                                What will you need to succeed?

                                                                +
                                                                  +
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                                                • +
                                                                • 1+ year experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                                                • +
                                                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                                                • +
                                                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                                                • +
                                                                • Experience with AWS services including SageMaker is required for some roles

                                                                • +
                                                                • Experience with machine learning including supervised and unsupervised models

                                                                • +
                                                                • Demonstrated experience in data transformation & data manipulation

                                                                • +
                                                                • Experience working with Structured vs. Unstructured data

                                                                • +
                                                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                                                • +
                                                                • Effective and concise oral and written storytelling and insights communication skills

                                                                • +
                                                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                                                • +
                                                                • Ability to document work and effectively prioritize documentation

                                                                • +
                                                                • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                                                                • +
                                                                +

                                                                +

                                                                What will be nice to have?

                                                                +
                                                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                                                +

                                                                +

                                                                Unique Requirements

                                                                +

                                                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                +

                                                                +

                                                                What\'s in it for you?

                                                                +
                                                                  +
                                                                • Remote/ Hybrid Work environment

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • 15 days vacation per year and an innovative sabbatical program

                                                                • +
                                                                • A friendly, collaborative and inclusive culture

                                                                • +
                                                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                • +
                                                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                +

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                58,700/58 700 - 93,900/93 900

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                26/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00075554?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-27T17:46:07.589Z,False,0,28,173,https://talenthub.vectorinstitute.ai/jobs/196079108-data-scientist-at-sun-life-financial,,expired,2023-02-13T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c7dc7a63-8809-4736-8c5d-32929a17a182,194556483,CN,Manager Data Analytics Service,on_site,"Ontario, Canada",2023-02-09T17:42:04.956Z,"
                                                                +

                                                                +
                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                +

                                                                +
                                                                Job Summary
                                                                +

                                                                The Manager, Data Analytics Service is responsible for developing a team specialized in data analytics, and collaborating with other data services teams (e.g., self-service analytics, data science, data ops, data governance, etc.). The role handles the delivery of Data Analytics solutions including the intake of data analytics requests, data readiness assessment, prioritization, resources capacity, delivery planning and budget monitoring. Moreover, the position contributes to the continuous improvement of data-related processes, of best practices and standards through Centers of Excellence (CoEs) and Communities of Practise (CoPs).

                                                                +

                                                                +
                                                                Main Responsibilities
                                                                +

                                                                +
                                                                +

                                                                Leadership

                                                                · Focus on communications and foster collaboration by regularly providing updates to teams about ongoing initiatives and encouraging teams to work together to accomplish common goals and learning

                                                                · Provide a positive onboarding experience to new employees by ensuring they have access to the tools and resources needed to fulfill the job requirements

                                                                · Recognize employee milestones as well as significant contributions and enhanced responsibilities

                                                                · Handle employee performance by ensuring employees who are not meeting expectations are identified and supported through the improvement process

                                                                · Partner with Human Resources (HR) to bring new talent to the organization by resolving which skills and roles will be required in the future and by making thoughtful hiring decisions

                                                                · Participate in succession planning by contributing to the yearly talent review cycle and identifying employees with the potential to move up the management and expertise paths

                                                                · Create and enable a positive and engaging work environment by ensuring individual strengths are uncovered and leveraged through frequent and focused conversations

                                                                · Ensure knowledge is preserved through cross-training for key skill sets in the team

                                                                · Support employee development by regular conversations to reach their career goals

                                                                · Conduct routine performance reviews with staff

                                                                Delivery

                                                                · Lead team for the delivery and development of data analytics solutions with supportability in mind

                                                                · Enable delivery and release management process to let self-service users operationalize their solutions in an efficient manner

                                                                · Handle a collection of data analytics capabilities with controlled financial performance while meeting scope, budget, and timeline requirements

                                                                · Lead agile processes development and adoption with influence for continuous improvement over centralized project management practices

                                                                · Maintain the relationship and work model with vendors, including evaluation of their efficiency

                                                                Data Strategy and Continuous Improvement

                                                                · Influence and collaborate with Data Science and Analytics team leaders to define data strategies, alignment, and execution

                                                                · Contribute to data related CoEs and CoPs

                                                                · Continue training and benchmarking for sustained intellectual leadership over elite data innovations and practices

                                                                · Contribute to leadership by various data capabilities roadmaps as Data Lake, Data Warehouse and other data-related capabilities

                                                                Customer Experience

                                                                · Lead a team to customer-driven leadership and cultural enablement

                                                                · Devise improved future states, establishing, and executing the change management strategy, including the communication plan

                                                                · Align the customer’s roadmaps with data platforms and operational data pipelines planning delivery and lifecycles

                                                                · Seek customer feedback to understand and improve customer satisfaction

                                                                · Lead and organize a proper support structure to data capabilities clients for sustained business Service Level Agreements (SLAs) and increasing data practices adoption

                                                                · Continue to improve data capabilities based on customers’ feedback as Key Performance Indicators (KPI) metrics and Multifactor Analysis (MFA) surveys

                                                                Working Conditions

                                                                The role works in a standard office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (10%) within Canada and the United States (U.S.).

                                                                +

                                                                Experience

                                                                +

                                                                Analytics, Self-Service, and Data Sciences

                                                                +

                                                                · Minimum 15 years of overall work experience

                                                                +

                                                                o Minimum 10 years of experience in analytics, self-service practices, and data sciences

                                                                +

                                                                o Minimum 5 years demonstrating leadership qualities or overseeing deliverables

                                                                +

                                                                Education/Certification/Designation

                                                                +

                                                                · Bachelor\'s Degree in Computer Science or equivalent degree or work experience

                                                                +

                                                                Competencies

                                                                +

                                                                · Sets goals that are consistent with CN\'s plan and takes responsibility for achieving results

                                                                +

                                                                · Shares timely information within and across functions to get things done effectively

                                                                +

                                                                · Demonstrates analytical thinking and a broad vision when making decisions

                                                                +

                                                                · Addresses risks in a timely manner to eliminate them

                                                                +

                                                                · Innovates through problem solving

                                                                +

                                                                · Possess organizational, time-management and prioritizing competencies

                                                                +

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                +

                                                                · Demonstrates good judgment in decision making and makes difficult and timely decisions

                                                                +

                                                                · Prioritize individual development and continuous learning

                                                                +

                                                                · Deals with pressure and change by staying calm to quickly adapt to changes

                                                                +

                                                                · Builds a relationship with clients and provides valuable services

                                                                +

                                                                Technical Skills/Knowledge

                                                                +

                                                                · Advanced skills and knowledge of analytical data platforms, data architecture, data management and governance

                                                                +

                                                                · Strong understanding of modern agile practices in the context of project management

                                                                +

                                                                +

                                                                · In-depth understanding and knowledge of data capabilities as data lakes, data warehouses, data integration, data management and data governance

                                                                +

                                                                Employees Supervised/Organizational Structure

                                                                +

                                                                +

                                                                The Manager for Data Analytics Service reports to the Senior Manager, Analytics,
                                                                Self-Service and Data Science. The role requires the direct supervision of 8 to 10 non-unionized employees.

                                                                +
                                                                +

                                                                +
                                                                About CN
                                                                +

                                                                +
                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                +

                                                                +
                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                +

                                                                +

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10126?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-02-27T17:47:12.278Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/194556483-manager-data-analytics-service-at-cn,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +c5d51f7a-11a3-45b3-9ad1-b34e42706c28,189567851,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.084Z,"
                                                                2022-12-07T11:18:47.798Z
                                                                  @@ -57975,7 +57522,7 @@ ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer Waterloo, ON, Canada
                                                              • + 2 more locations
                                                              • - +

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                @@ -58016,1536 +57563,1795 @@ ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-26T16:58:07.416Z,False,0,15,77,https://talenthub.vectorinstitute.ai/jobs/198986742-student-researcher-bs-2023-at-google,,expired,2023-02-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -ca5ec961-7557-40ec-895c-9038267d4eab,198994205,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-02-23T17:37:02.743Z,"

                                                                Manager- Banking Technology - Capital Markets (Data)

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: Mar 12, 2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                -
                                                                -

                                                                The Opportunity

                                                                -

                                                                -

                                                                We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                                                                -

                                                                We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                                                                -

                                                                -

                                                                Your Key Responsibilities

                                                                -

                                                                -

                                                                As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                                                                -

                                                                -

                                                                You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                                                                -

                                                                -

                                                                This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                                                                -

                                                                -

                                                                You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                                                                -

                                                                -

                                                                Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                                                                -

                                                                -

                                                                You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                                                                -

                                                                -

                                                                Skills and attributes for success

                                                                -
                                                                • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                                                                • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                                                                • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                                                                • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                                                                • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                                                                • -
                                                                -


                                                                -

                                                                To qualify for the role, you must have

                                                                -
                                                                • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                                                                • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                                                                • -Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                                                                  • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                                                                  • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                                                                  • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                                                                  • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                                                                  • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                                                                  • Overall understanding of the front to back capital markets data value chain
                                                                  • Excellent analytical skills with ability to systematically resolve technical problems
                                                                  • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                                                                • -
                                                                -


                                                                Ideally, you’ll also have

                                                                -

                                                                -

                                                                Technical Skills (Technologies)

                                                                -
                                                                • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                                                                • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                                                                • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                                                                • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                                                                • Comfortable with object-oriented programming
                                                                • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                                                                • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                                                                • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                                                                • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                                                                • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                                                                • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                                                                • Experience in architecture and design of solutions based on functional requirements
                                                                • Experience with application integration, upgrade, decommissioning
                                                                • Experience building and deploying applications in cloud
                                                                • Leading development teams, agile pods
                                                                • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                                                                • -
                                                                -


                                                                Desired Skills

                                                                -
                                                                • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                                                                • SCRUM master and PMP certification is a plus
                                                                • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                                                                • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                                                                • Developing technology strategy, architecture principles, product roadmap
                                                                • -Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                                                                • -
                                                                -

                                                                What we look for

                                                                -


                                                                Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                                                                -

                                                                -

                                                                What we offer

                                                                -


                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                -


                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                                                                -
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • +
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:47:03.828Z,False,0,39,152,https://talenthub.vectorinstitute.ai/jobs/189567851-student-researcher-bs-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +5673ecab-a0d3-4a66-88ad-36828138d59d,189567844,Google,"Software Developer Intern, PhD, Summer 2023",on_site,"Toronto, ON, Canada",2023-01-23T17:20:02.877Z,"
                                                                +
                                                                +2022-12-07T11:20:16.817Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Software Developer Intern, PhD, Summer 2023

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Waterloo, ON, Canada +
                                                                • +
                                                                • + 1 more location
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Please complete your application before February 24th, 2023.

                                                                +

                                                                Participation in the internship program requires that you are located in Canada for the duration of the internship program.

                                                                +

                                                                This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2023, depending on their program and unique circumstances.

                                                                +

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

                                                                +
                                                                  +
                                                                • 1. In the “Resume Section:” attach an updated CV or resume.
                                                                • +
                                                                • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
                                                                • +
                                                                  • Under “Degree Status,” select “Now attending” to upload a transcript.
                                                                  +

                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Pursuing a PhD degree program in Computer Science, or related technical field.
                                                                • +
                                                                • Experience programming in one or more of the following: C/C++, Java, or Python.
                                                                  +
                                                                -


                                                                Diversity and Inclusion at EY

                                                                -

                                                                -

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                -
                                                                -
                                                                EY | Building a better working world
                                                                -
                                                                -
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                -
                                                                -
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                -
                                                                -
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,feed-importer@jobboard.io,,,,2023-03-26T17:16:46.889Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/198994205-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,expired,2023-02-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -ca08aa7d-f4d1-4181-9750-547d422d5b28,200116547,BMO Financial Group,Sr. Anaplan Modeler,on_site,"Ontario, Canada",2023-02-27T17:12:01.555Z,"
                                                                -

                                                                Application Deadline:

                                                                04/27/2023

                                                                -

                                                                -

                                                                Address:

                                                                100 King Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                Successful candidate will be responsible for data modelling within BMO’s instance of Anaplan to support BMO’s planning and forecasting functions within Finance. Individual should possess an Anaplan Certified Model Builder accreditation with field experience implementing various large-scale projects utilizing iterative/agile project management methodology and domain best practices. Candidate will be the subject matter expert for data integration, translation, and transformation from input sources into models/reports/dashboards and will coordinate with various business and technology stakeholders to develop intermediate/advanced business intelligence models, interpreting business requirements into effective solution designs. The incumbent should possess strong analytical, problem-solving and communication skills with the ability to use creative thinking to solve complex business/technical problems.

                                                                -

                                                                -

                                                                -

                                                                Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                +

                                                                Preferred qualifications:

                                                                  -
                                                                • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                • -
                                                                • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                • -
                                                                • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                • -
                                                                • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                • -
                                                                • Attracts, retains, and enables the career development of top talent.
                                                                • -
                                                                • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                • -
                                                                • Influences and negotiates to achieve business objectives.
                                                                • -
                                                                • Identifies emerging issues and trends to inform decision-making.
                                                                • -
                                                                • Provides strategic input into business decisions as a trusted advisor.
                                                                • -
                                                                • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                • -
                                                                • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                                                • -
                                                                • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                                                • -
                                                                • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                • -
                                                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                • -
                                                                • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                                                • -
                                                                • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                • -
                                                                • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                                                • -
                                                                • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                                                • -
                                                                • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                • -
                                                                • Identifies/creates the appropriate algorithm to discover patterns.
                                                                • -
                                                                • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                                                • -
                                                                • Oversees the development and delivery of tools and training for data and analytics.
                                                                • -
                                                                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                • -
                                                                • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                • -
                                                                • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                                • -
                                                                • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                • -
                                                                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                • -
                                                                • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                                                • -
                                                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                • -
                                                                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                • -
                                                                • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                • -
                                                                • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                • -
                                                                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                • -
                                                                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                • -
                                                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                • -
                                                                • Performs experimental design approaches to validate finding or test hypotheses.
                                                                • -
                                                                • Uses the appropriate algorithms to discover patterns.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                • -
                                                                • Supports development of tools and delivers training for data analytics and AI.
                                                                • -
                                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Leads/participates in the design, implementation and management of core business/group processes.
                                                                • -
                                                                • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                • -
                                                                • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                • -
                                                                • Implements changes in response to shifting trends.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • Currently attending a degree program in Canada and available to work full time for a minimum of 12 weeks outside of university term time.
                                                                • +
                                                                • Returning to a degree program after completion of the internship.
                                                                • +
                                                                • Experience in computer science, with knowledge in data structures, algorithms, and software design.
                                                                  +
                                                                • +
                                                                • Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go, or similar.
                                                                  +
                                                                • +
                                                                • Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
                                                                • -
                                                                • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                                                • -
                                                                • In depth experience using machine learning algorithms.
                                                                • -
                                                                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                • -
                                                                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                • -
                                                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                • -
                                                                • Verbal & written communication skills - In-depth / Expert.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth / Expert.
                                                                • -
                                                                • Influence skills - In-depth / Expert.
                                                                • -
                                                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                • -
                                                                • Able to manage ambiguity.
                                                                • -
                                                                • Data driven decision making - In-depth / Expert.
                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Anaplan-Modeler_R230003700?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-29T20:11:24.197Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/200116547-sr-anaplan-modeler-at-bmo-financial-group,,expired,2023-02-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -1cdb9a25-7afb-4812-8bf2-6988d46495e6,199290397,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-02-24T17:42:02.684Z,"
                                                                -
                                                                -

                                                                Description

                                                                -
                                                                -


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                -

                                                                Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                                                                -

                                                                -

                                                                You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                                                                -

                                                                -

                                                                As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                                                                -

                                                                -

                                                                You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                                                                -


                                                                What you’ll do

                                                                -

                                                                +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

                                                                +

                                                                We offer a range of internships in either Software Engineering or Site-Reliability Engineering across North America, including the US and Canada. Our recruitment team will determine where you fit best based on your resume.

                                                                +

                                                                Software Developer Intern:
                                                                As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.

                                                                +

                                                                Site Reliability Intern:
                                                                Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts to building automation infrastructure.

                                                                +

                                                                Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology\'s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Create and support a productive and innovative team including working with peers, managers, and teams.
                                                                • +
                                                                • Develop scripts to automate routine tasks.
                                                                • +
                                                                • Analyze information and evaluate results to choose the best solution to effectively solve challenges.
                                                                • +
                                                                • Apply knowledge gained in computer science courses to real world challenges.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/127279592277713606-software-developer-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-22T21:45:39.510Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/189567844-software-developer-intern-phd-summer-2023-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +6a0f29f9-ec6b-47aa-9602-3e4591b55773,189564538,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-01-23T17:14:02.034Z,"
                                                                +

                                                                Referred applicants should not apply directly to this role.

                                                                +

                                                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                +

                                                                +

                                                                +

                                                                Location:

                                                                500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                +

                                                                +

                                                                When you hire great people, great things can happen.

                                                                +

                                                                PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                +

                                                                +

                                                                Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                +

                                                                +

                                                                Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                                                                +

                                                                +

                                                                The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                                                                +

                                                                +

                                                                You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                                                                  -
                                                                • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                                                                • -
                                                                • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                                                                • -
                                                                • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                                                                • -
                                                                • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                                                                • -
                                                                • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                                                                • -
                                                                • Implement automation and monitoring tools through a test-driven approach and mindset
                                                                • -
                                                                • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                                                                • +
                                                                • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • +
                                                                • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                                                                • +
                                                                • Perform data profiling and source to target mapping analysis for the best design
                                                                • +
                                                                • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                                                                -
                                                                -
                                                                -
                                                                -

                                                                Qualifications

                                                                -
                                                                -

                                                                What you bring

                                                                -

                                                                +

                                                                What you’ll do:

                                                                  -
                                                                • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                                • -
                                                                • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
                                                                • -
                                                                • An expert understanding of data warehouses/cloud architectures and ETL processes
                                                                • -
                                                                • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                                                • -
                                                                • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                                                                • -
                                                                • Experience with Python and software engineering best practices
                                                                • -
                                                                • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                                                                • -
                                                                • Experience with data pipeline and workflow management tools such as Airflow
                                                                • -
                                                                • Experience with Github and CICD processes
                                                                • -
                                                                • Having a proven track record in leading data analytics platform projects
                                                                • -
                                                                • Ready to work in new and challenging work environments
                                                                • -
                                                                • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                                                • -
                                                                • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                                                • -
                                                                • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                                                • -
                                                                • Working in cross-functional teams with exemplary communication and coordination skills
                                                                • -
                                                                • Proving your analytical skills with root cause analysis of issues
                                                                • -
                                                                • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                                                                • -
                                                                • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                                                                • +
                                                                • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                                                                • +
                                                                • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                                                                • +
                                                                • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                                                                • +
                                                                • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                                                                • +
                                                                • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                                                                • +
                                                                • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                                                                • +
                                                                +

                                                                Who you are:

                                                                +
                                                                  +
                                                                • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                                                                • +
                                                                • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                                                                • +
                                                                • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                                                                • +
                                                                • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                                                                • +
                                                                • Professional experience working in an agile environment
                                                                • +
                                                                • Strong analytical and problem-solving ability
                                                                • +
                                                                • Strong written and verbal communication skills
                                                                • +
                                                                • Experience in operating and maintaining production-grade software
                                                                • +
                                                                • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                                                                • +
                                                                +

                                                                Preferred Skills:

                                                                +
                                                                  +
                                                                • Knowledge of software and data engineering best practices
                                                                • +
                                                                • Experience with large scale distributed data technologies and tools
                                                                • +
                                                                • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                                                                • +
                                                                • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                                                                • +
                                                                • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                                                                • +
                                                                • Understands how to translate business requirements to technical architectures and designs
                                                                • +
                                                                • Comfortable communicating with various stakeholders (technical and non-technical)
                                                                • +
                                                                +

                                                                +

                                                                Nice to have Skills (though not required):

                                                                +
                                                                  +
                                                                • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                                                                • +
                                                                • Contributions to open-source software (code, docs, or mailing list posts)
                                                                • +
                                                                • GCP Professional Data Engineer Certification
                                                                • +
                                                                • Confluent Certified Developer for Kafka
                                                                +

                                                                +

                                                                COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                                                                -

                                                                Great-to-haves

                                                                +

                                                                In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                                                                +

                                                                +

                                                                +

                                                                Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                +

                                                                Number of Openings:

                                                                0

                                                                +

                                                                +

                                                                PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                +

                                                                +

                                                                In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                +

                                                                +

                                                                +

                                                                Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                +
                                                                ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-02-22T21:41:01.014Z,False,0,10,38,https://talenthub.vectorinstitute.ai/jobs/189564538-data-engineer-at-loblaw-companies-ltd,,expired,2023-01-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +7cedb4c9-c034-41b8-8c59-75d03d647370,189570673,Avidbots,Senior Software Developer,on_site,"Ontario, Canada",2023-01-23T17:42:04.018Z,"
                                                                +

                                                                Now is the time to become an Avidbotter!

                                                                +


                                                                About Avidbots

                                                                +

                                                                Avidbots is a leading-edge robotics company with the vision to bring robotic solutions into everyday life to increase organizational productivity and to do that better than any other company in the world. Our ground-breaking product, the Neo 2 autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Headquartered in Kitchener, ON, Canada, Avidbots offers comprehensive service and support to customers in 5 continents.

                                                                +

                                                                +

                                                                About the Opportunity:

                                                                +

                                                                Avidbots is embarking on an effort to start a number of expansion projects, and we are looking for an enthusiastic, passionate and quality-driven Senior Software Developer to help push the boundaries of commercial robotics. In this role, you will be a key contributor in advancing the state of our robot systems software. This is a unique opportunity to have a direct impact on the foundational software upon which our next-generation robot models will be built.

                                                                +

                                                                +

                                                                The ideal candidate has an exceptional and proven capability of developing software in C++ and OOP. You have a demonstrated track record in deploying software development projects for large and complex systems. You thrive with the latest technology while taking pride in well-designed, clean, and reliable code.

                                                                +

                                                                +

                                                                This can be a hybrid opportunity!

                                                                +

                                                                +

                                                                How you will make a difference:

                                                                +
                                                                  +
                                                                • + Lead design and development initiatives to create, maintain and improve our robot software +
                                                                • +
                                                                • + Take ownership of critical robot software design decisions and drive their execution +
                                                                • +
                                                                • + Become a technical expert of your domain and contribute to the overall robot architecture +
                                                                • +
                                                                • + Champion continuous improvements in development environment and processes +
                                                                • +
                                                                • + Propose, define and maintain detailed API and design documentation +
                                                                • +
                                                                • + Participate in code reviews and in all phases of the Software Development Life Cycle +
                                                                • +
                                                                +

                                                                +

                                                                Key Skills and Experience:

                                                                +
                                                                  +
                                                                • B.Sc. degree in mechatronics, computer science, engineering or equivalent
                                                                • +
                                                                • + 5+ years of professional software development experience +
                                                                • +
                                                                • + Expertise in C++ and object oriented programming principles +
                                                                • +
                                                                • + Proven experience with modern development process based on agile methodology +
                                                                • +
                                                                • + Experience with hardware interface/driver level development +
                                                                • +
                                                                • + Proficient in architecting, presenting and sharing software solutions to complex robotic challenges +
                                                                • +
                                                                • + Driven individual, passionate, self-starter +
                                                                • +
                                                                +

                                                                +

                                                                Bonus:

                                                                +
                                                                  +
                                                                • + Background in robotics +
                                                                • +
                                                                • + Strong working knowledge of ROS and Python +
                                                                • +
                                                                • + Experience developing safety/diagnostics related software +
                                                                • +
                                                                • + Experience with GUI development +
                                                                • +
                                                                • + Graduate degree in mechatronics, computer science, engineering, or equivalent +
                                                                • +
                                                                • + Basic mechanical/electrical knowledge +
                                                                • +
                                                                • + Scrum certification +
                                                                • +
                                                                +

                                                                +

                                                                **Applicants must be currently authorized to work in Canada for any employer""

                                                                +

                                                                +

                                                                Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                                                +

                                                                +

                                                                Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                                                                +

                                                                +

                                                                #INDAV

                                                                +
                                                                ",,https://avidbots.bamboohr.com/careers/507,feed-importer@jobboard.io,,,,2023-02-22T22:36:50.856Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/189570673-senior-software-developer-at-avidbots,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +67d64555-5962-4bb2-979f-fe50348b5db9,189730971,BenchSci,"Staff Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-01-24T17:39:01.921Z,"
                                                                +
                                                                We are seeking a Staff Machine Learning Engineer - NLP to join our growing Machine Learning team!
                                                                +

                                                                +
                                                                You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Director of Engineering in Machine Learning, you'll apply your deep domain expertise to multiple mission-critical projects and architect advanced machine learning algorithms for the ML team to implement. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                +

                                                                +
                                                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US, and the UK for this position.
                                                                +
                                                                +

                                                                You Will:

                                                                +
                                                                    +
                                                                  • Prototype ML Architecture across multiple ML Teams to execute in order to build robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • +
                                                                  • Review and approve ML technical documentation to ensure quality and accuracy of performance and results
                                                                  • +
                                                                  • Contribute to the ML roadmap by ensuring project proposals are both highly impactful and technically feasible
                                                                  • +
                                                                  • Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • +
                                                                  • Lead design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment
                                                                  • +
                                                                  • Own the solutions and long-term technology investments that will drive innovation at BenchSci
                                                                  • +
                                                                  • Participate and contribute to sprint planning, estimation, and design/code reviews
                                                                  • +
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • +
                                                                  • Work cross-functionally with different stakeholders including BenchSci's R&D scientists
                                                                  • +
                                                                +
                                                                +

                                                                You Have:

                                                                +
                                                                    +
                                                                  • A Ph.D. in Computer Science, Machine Learning, or a related field
                                                                  • +
                                                                  • 8 years of combined experience working as a professional developer and as a researcher applying machine learning techniques to solve business problems
                                                                  • +
                                                                  • Established research track record, evidenced by conference or journal publications
                                                                  • +
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • +
                                                                  • Extensive experience with NLP and PyTorch
                                                                  • +
                                                                  • Experience with architecting, building, and evaluating robust and scalable production-ready ML models
                                                                  • +
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • +
                                                                  • Experience with data manipulation and processing, such as SQL or pandas A growth mindset and a constant desire to learn
                                                                  • +
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • +
                                                                +
                                                                +

                                                                +

                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-02-23T17:44:02.233Z,False,0,9,90,https://talenthub.vectorinstitute.ai/jobs/189730971-staff-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/1c76f968-6682-4182-b68d-df75c1e5274c,expired,2023-01-24T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,PhD,New Posting, +8521f535-9ff7-4d94-9c38-e5b74b1a396f,192003375,Sun Life Financial,Senior Campaign Data Analyst (Fixed term),on_site,"Ontario, Canada",2023-02-02T17:41:02.516Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                +

                                                                +

                                                                +

                                                                Job Description:

                                                                +

                                                                +

                                                                Role Summary

                                                                +

                                                                Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                                                                +

                                                                As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience.

                                                                +

                                                                As Senior Campaign Data Analyst, you will leverage our vast data, SAS and Big Data capabilities to enable these objectives by designing marketing campaigns and delivering data solutions for our inbound and outbound channels. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                                                +

                                                                +

                                                                This is a fixed term position for 12 months. It offers partial benefits and 4 weeks vacation.

                                                                +

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders

                                                                • +
                                                                • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs

                                                                • +
                                                                • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements

                                                                • +
                                                                • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements

                                                                • +
                                                                • Support stakeholders and third parties throughout the campaign implementation process

                                                                • +
                                                                • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                                                                • +
                                                                • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are fairly complex.

                                                                • +
                                                                • Manage multiple campaigns simultaneously

                                                                • +
                                                                  -
                                                                • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                                                • -
                                                                • Machine learning and data science knowledge
                                                                • +
                                                                • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                                                • +
                                                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight

                                                                • +
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • +
                                                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences

                                                                • +
                                                                • Liaise with stakeholders across other teams to resolve discrepancies

                                                                • +
                                                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • +
                                                                • Support campaign target list generation, analyses, measurement and reporting

                                                                -


                                                                -
                                                                -
                                                                -
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/566944717/,feed-importer@jobboard.io,,,,2023-03-29T20:03:21.218Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/199290397-senior-data-engineer-at-telus,,expired,2023-02-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -9037bf3c-ef41-412b-ba0f-9559750c192c,204324011,CN,Specialist Data Design,on_site,"Ontario, Canada",2023-03-13T17:42:03.002Z,"

                                                                -

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                -

                                                                The Specialist, Data Design is responsible for understanding business requirements, creating data definitions, data quality requirements, define data transformation rules, as well as logical and physical data models. The incumbent brings technical expertise to ensure the quality and accuracy of data, then process, designs and presents it in ways to help people, businesses, and organizations make better decisions.

                                                                Main Responsibilities

                                                                -

                                                                Data Design and Management

                                                                · Build conceptual, logical, and physical data models

                                                                · Build source to target mapping documents to describe data transformations

                                                                · Design and develop curated data assets in Data Lake and Data Warehouse to support reporting, data science and data engineering

                                                                · Define, document, and maintain standards and best practices around data modelling

                                                                Testing, Troubleshooting and Delivery

                                                                · Assess and design data architecture components (e.g., data model, mapping, data flows, and transformations) to make sure they are well integrated and aligned with the data and technical architecture

                                                                · Troubleshoot data issues within the business and present solutions and recommendations

                                                                · Define unit testing to ensure Data Engineers follow specifications

                                                                · Participate in the delivery and support of data quality and consolidation initiatives

                                                                · Propose simplification initiatives to allow for more effective data design, and management

                                                                Requirements

                                                                Experience

                                                                Data Design and Modelling

                                                                · Between 3 to 5 years overall work experience

                                                                · Minimum 3 years of experience in analysis, data design and data modelling

                                                                · Experience performing root cause analysis to answer specific business questions and identify opportunities for improvement

                                                                · Experience with big data processing

                                                                · Experience in real time data streaming and loading

                                                                · Experience modelling data for data science projects*

                                                                · Experience working with Scale Agile Methodology (SAFe)*

                                                                · Experience with semi-structured and unstructured data*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                -

                                                                · Bachelor’s Degree specializing in Computer Science, Business Analytics, Mathematics and Statistics, or other quantitative field, related degree, or equivalent experience

                                                                Competencies

                                                                -

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                -

                                                                · Advanced knowledge of dimensional modelling techniques, data modelling and data architecture best practices

                                                                · Advanced SQL skills

                                                                · Knowledge of Azure Data Lake (ADLS), Data Warehouse, Data Factory, Development Operations (DevOps) Continuous Integration (CI) and Continuous Delivery (CD), Databricks, and Business Intelligence or relevant data environment

                                                                About CN

                                                                -

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                                                +

                                                                What will you need to succeed?

                                                                +
                                                                  +
                                                                • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                                                                • +
                                                                • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns and business.

                                                                • +
                                                                • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                                                • +
                                                                • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                                                • +
                                                                • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                                                • +
                                                                • +

                                                                  The candidates must have relevant experience in the following areas:

                                                                  +
                                                                    +
                                                                  • Knowledge of Inbound and Outbound campaigns

                                                                  • +
                                                                  • Knowledge on the data needs for analytics and campaigns

                                                                  • +
                                                                  • Communication and liaison experience between business, analytics and IT

                                                                  • +
                                                                  +
                                                                • +

                                                                +

                                                                Unique Requirements

                                                                +
                                                                  +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +

                                                                -

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10449?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-30T21:33:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/204324011-specialist-data-design-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -888ab4ff-f24b-44f6-8a4c-edb1e61bb5fe,210219866,Google,"Software Engineer III, Infrastructure, Google Cloud Networking",on_site,"Toronto, ON, Canada",2023-03-30T17:20:03.245Z,"
                                                                -
                                                                -2023-03-28T14:00:21.723Z
                                                                -
                                                                  -
                                                                • Share
                                                                • -
                                                                  Save -
                                                                • -

                                                                Software Engineer III, Infrastructure, Google Cloud Networking

                                                                  -
                                                                • Google
                                                                • -
                                                                • In-office:
                                                                  - Cambridge, ON, Canada -
                                                                • -
                                                                • + 1 more location
                                                                • -
                                                                -
                                                                -
                                                                -

                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, ON, Canada; New York, NY, USA.

                                                                -
                                                                -

                                                                Qualifications

                                                                -

                                                                Minimum qualifications:

                                                                +

                                                                What will be nice to have?

                                                                  -
                                                                • Bachelor’s degree or equivalent practical experience.
                                                                • -
                                                                • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                                                                • -
                                                                • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                                                • +
                                                                • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g. SAS RTDM)

                                                                • +
                                                                • General programming language knowledge and basic application design

                                                                • +
                                                                • Some technical writing, report analysis and PowerPoint presentation creation

                                                                -

                                                                Preferred qualifications:

                                                                +

                                                                +

                                                                What\'s In It For You?

                                                                  -
                                                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                                                • -
                                                                • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                                                • -
                                                                • Experience developing accessible technologies.
                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • +
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • +
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid # LI- Remote

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • A friendly, collaborative, and inclusive culture

                                                                • +
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • +
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • +
                                                                • A common sense dress code, where you decide how you dress based on your day

                                                                • +
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                -
                                                                -
                                                                -
                                                                -

                                                                About the job

                                                                -

                                                                Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                -

                                                                With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                                                                -

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                -
                                                                Salary Range Info:
                                                                -

                                                                The US base salary range for this full-time position is $133,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                                                -

                                                                Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                                                -
                                                                -
                                                                -
                                                                -

                                                                Responsibilities

                                                                  -
                                                                • Write product or system development code.
                                                                • -
                                                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                                                • -
                                                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                                • -
                                                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                                                • -
                                                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                                • -
                                                                -
                                                                -

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                -
                                                                -
                                                                -
                                                                ",,"https://careers.google.com/jobs/results/117694007057752774-software-engineer-iii-infrastructure-google-cloud-networking/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-30T21:32:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/210219866-software-engineer-iii-infrastructure-google-cloud-networking-at-google,,expired,2023-03-30T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -8479d20e-c7e6-48a6-898c-9bd40306cfa9,206568607,RBC,"Senior Analyst, Environmental & Social Risk Analytics",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.666Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Senior Analyst, Environmental & Social Risk Analytics

                                                                +

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                +

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                20/02/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-term-_JR00074404?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/192003375-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-02-02T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +9d2390ba-b490-4a35-b24c-299c568ef08c,191128827,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-01-30T17:41:02.119Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Job Description

                                                                -

                                                                What is the Opportunity?

                                                                -

                                                                As part of the Environmental & Social Risk team within Group Risk Management, you will play a role in the management, monitoring, and mitigation of environmental and social (E&S) risks at RBC. You will support the design and implementation of key climate and E&S risk initiatives by providing research and data analytics and insights. A significant focus of this role will be the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors and setting and tracking progress on net-zero targets.

                                                                +

                                                                Job Description:

                                                                -

                                                                The role will report to the Director, E&S Risk Analytics

                                                                +

                                                                At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                +

                                                                Role Summary:

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Gather and analyze data required for climate and social risk measurement and work with the Director, E&S Risk Analytics to use this data to inform actionable steps in the management and monitoring of environmental & social risk.
                                                                • -
                                                                • Identify opportunities to improve environmental & social risk data processes and take a leading role in implementing these changes;
                                                                • -
                                                                • Optimize data quality and results by seeking out public and private data sources and working with internal stakeholders to source RBC data to improve our climate risk measurement and management capabilities.
                                                                • -
                                                                • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, to inform risk management, business strategy, and ESG and climate disclosures.
                                                                • -
                                                                • Work with the Director, E&S Risk Analytics to assist in the advancement of RBC’s capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
                                                                • -
                                                                • Contribute to and lead development and delivery of presentation and reports.
                                                                • -
                                                                +

                                                                Join a team that is growing the Data and Analytics capabilities of Group Retirement Services (GRS) at Sun Life Canada. As a member of the GRS Strategy, Data & Analytics team, you will play a pivotal role in building out data products and maintaining data capabilities to enrich our client experience and arm internal stakeholders with data & analytic solutions to help drive informed decisions.

                                                                -

                                                                What do you need to succeed?

                                                                +

                                                                As a Senior Data Engineer, you will be responsible for leveraging our Big Data (EDL) capabilities to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of data and analytics professionals, Senior Data Engineer will lead the entire lifecycle of data in GRS business – from ETL to mining insights from the data, to making data accessible and useful for data analysts in the team to build analytics services and self-serve solutions for our stakeholders.

                                                                -

                                                                Must-have

                                                                -
                                                                • Degree in a quantitative discipline such as accounting, statistics, economics, econometrics, finance, mathematics, physics, engineering and/or a relevant professional qualification, with concentration in quantitative methods
                                                                +

                                                                Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have relevant experience in the following areas:

                                                                +

                                                                +

                                                                Data Management – i.e. design, development, integration

                                                                +

                                                                Data Discovery – i.e. scoping new data sources, understanding and leveraging current data sources

                                                                +

                                                                Data Governance - i.e. manage data catalogue, interpret metadata

                                                                +

                                                                Communication and liaison experience between business, data analysts and IT

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • An interest in Environmental and Social Risk in general and climate change in particular
                                                                • -
                                                                • An advanced understanding of programming and querying languages, including SQL and python
                                                                • -
                                                                • Experience developing presentations, visualizations and dashboards for senior executives and an interest in developing advanced analytical capabilities
                                                                • -
                                                                • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights
                                                                • -
                                                                • A desire and ability to build new and innovative approaches to complex problems.
                                                                • -
                                                                • Commitment to quality and accuracy with a high level of attention to detail.
                                                                • -
                                                                • Excellent written and verbal communication skills.
                                                                • +
                                                                • Design and engineer highly scalable business data models that provides accurate and reliable data to support analytics, reporting, dashboards, and marketing campaigns.

                                                                • +
                                                                • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing the alignment of source data platform

                                                                • +
                                                                • Lead the research and evaluation of new data sources, both internal and external, and implement processes and logic to integrate into GRS data model

                                                                • +
                                                                • Support data analysts with data discovery and rapid assembly of large datasets for analytics & reporting consumption

                                                                • +
                                                                • Analyze data to support model development and to identify potential areas for improvement

                                                                • +
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • +
                                                                • Oversee governance framework and strengthen data security by setting up user control and documenting data models, architectures and algorithms

                                                                • +
                                                                • Ensure that data requests fall within the scope of the Master GRS Privacy Impact Assessment and any potential Model End User Compliance guidelines are adhered to

                                                                -

                                                                Nice-to-have

                                                                +

                                                                What do you need to succeed?

                                                                  -
                                                                • Knowledge of climate change science with experience in the development and use of climate change and economic scenarios, models, projections and data.
                                                                • -
                                                                • Knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15)
                                                                • -
                                                                • Experience with or knowledge of carbon-intensive sectors, e.g. agriculture; aluminum; cement; coal; commercial and residential real estate; iron and steel; oil and gas; power generation; and transportation
                                                                • -
                                                                • Experience with or interest in agile or design thinking methodologies or frameworks.
                                                                • -
                                                                • Prior Product Management knowledge/experience or an interest in Product Management.
                                                                • -
                                                                • Knowledge and experience in quantitative model development, testing and validation.
                                                                • -
                                                                • Knowledge of wholesale and retail credit risk rating systems with experience in parameter estimation, portfolio management, or risk appetite.
                                                                • -
                                                                • Experience working with a diverse range of stakeholders.
                                                                • +
                                                                • 5+ years of hands-on experience working with data; in-depth knowledge in engineering data products for analytical model (i.e. Python, SQL, SAS, etc.)

                                                                • +
                                                                • 3+ years of hands-on experience working on Cloud Platforms (AWS, Azure, etc.) with various data processing and analytical tools such as Hive SQL

                                                                • +
                                                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., engineering, computer science) or equivalent experience

                                                                • +
                                                                • Experience leading complex data projects with problem solving mindset

                                                                • +
                                                                • Demonstrated ability to exchange ideas and convey complex information clearly and concisely

                                                                • +
                                                                • Proven ability to lead and drive projects and assignments to completion

                                                                • +
                                                                • Knowledge in fast evolving trend of data science concept and techniques

                                                                • +
                                                                • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

                                                                +

                                                                Unique Requirements

                                                                +
                                                                  +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +

                                                                -

                                                                What’s in it for you?

                                                                +

                                                                What will be nice to have?

                                                                +
                                                                  +
                                                                • Group retirement / pension, financial products, or relevant industry experience desired

                                                                • +
                                                                • Strong data visualization techniques using tools like Tableau and Power BI or equivalent

                                                                • +
                                                                • Experience with optimization and tuning of large data extracts for Tableau

                                                                • +

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +

                                                                What’s in it for you?

                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities.
                                                                • -
                                                                • Ability to make a difference and lasting impact.
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                                • -
                                                                • Opportunities to do challenging work.
                                                                • -
                                                                • Opportunities to building close relationships with clients.
                                                                • +
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • +
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • +
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

                                                                • +
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • +
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • +
                                                                • A friendly, collaborative, and inclusive culture

                                                                • +
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • +
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                Job Summary

                                                                This position will support the advancement of the bank’s Environmental and Social Risk data management, analysis and disclosure capabilities, and the integration of this data into our risk management framework.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-17

                                                                Application Deadline:

                                                                2023-04-01
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000052908/Senior-Analyst-Environmental-Social-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-30T17:21:02.273Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/206568607-senior-analyst-environmental-social-risk-analytics-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f0c8e346-075a-469d-969d-e2eed5f762a5,205318966,TD Bank Group,TDI Actuarial Intern / Co-op I,on_site,"Toronto, ON",2023-03-16T17:24:05.118Z,"
                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                +

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                +

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                +

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                +

                                                                +

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                20/03/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00075120?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-02-23T17:46:02.252Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/191128827-senior-data-engineer-at-sun-life-financial,,expired,2023-01-30T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +280f5fe6-f894-4ef9-bbfd-5ad2e4da64fa,192003404,Shopify Inc.,Data Science Manager - Commercial Analytics,on_site,"Ontario, Canada",2023-02-02T17:42:03.542Z,"

                                                                About the role

                                                                +

                                                                Commercial Analytics improves the decision making process in the Commercial, Revenue, and Support organizations with data. We do this by enhancing the effectiveness of data measurements, providing objective analytical insights, building scalable data solutions, and maturing the data literacy in our organization. Our craft requires both good technical skills and strong business acumen. It is both an applied science and arts discipline. Currently we’re in search of a Data Science Manager. In this role you’ll be responsible for…

                                                                +
                                                                  +
                                                                • Unlocking the value from data to create better human experience in Commerce
                                                                • +
                                                                • Provide BI, data insights and decision support to empower the core business operation in the Commercial group including Revenue, Merchant Success, and Support
                                                                • +
                                                                • Provide the Core analytics capability with a bias towards building innovation solutions that can scale across different user groups in our 5000+ business unit
                                                                • +
                                                                • Lead a multidisciplinary team of analysts and data scientists to enable the business with strategic data insights to operate more effectively and efficiently.
                                                                • +
                                                                +

                                                                This work will impact the top line (growth/sales) of the company since the work helps identify areas of opportunity for our Sales org.

                                                                +

                                                                ",,https://www.shopify.com/ca/careers/data-science-manager-commercial-analytics-remote-us-or-canada_09a94d87-fdb3-4d27-8f3f-00c8ecd556bd,feed-importer@jobboard.io,,,,2023-02-24T17:39:00.000Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/192003404-data-science-manager-commercial-analytics-at-shopify-inc,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +428eca0c-283d-4ab1-ae36-513f66c9b5b4,203172185,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.866Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 169022

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                What you’ll be doing…

                                                                +

                                                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                                                +

                                                                +

                                                                Is this role right for you? In this role you will:

                                                                +
                                                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                +

                                                                +

                                                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                +
                                                                • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                • Strong knowledge of banking products and their data lifecycle
                                                                • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                • AML/ATF experience or analytic knowledge
                                                                • Data architecture experience in cloud infrastructure
                                                                • Bachelor's degree in business, finance, or engineering
                                                                • Strong experience with data modelling and data analysis
                                                                • Minimum of 3 years of relevant experience in AML/ATF
                                                                • +
                                                                +

                                                                Please note that this is a contract position

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-17T15:45:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/203172185-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Model Risk Reporting",on_site,"Toronto, ON",2023-03-13T17:24:03.538Z,"

                                                                Company Overview

                                                                -

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                -

                                                                Why TD?

                                                                -

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                -

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                Department Overview

                                                                -
                                                                -

                                                                TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.

                                                                -

                                                                In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.

                                                                -

                                                                At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                                                                -

                                                                -
                                                                +
                                                                Model Risk Management (MRM) group is responsible for establishing and implementing enterprise model governance, risk and control strategies and policies. We oversee and ensure compliance with MRM requirements ensuring that the bank has an effective risk management program within its risk appetite. If you want to be a brand ambassador who can help strive efficiencies for the bank, then join our team and make an impactful contribution to TD and your own success.

                                                                Job Description

                                                                -

                                                                We are hiring for the position of Intern / Co-Op III to provide a range of operational and analytical support and perform transactions and other processing activities. This role will not only provide you introductory experience in a professional setting, you will also be equipped with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline. In this role, you will:

                                                                +The Senior Analyst, Model Status Communications and Reporting, is an experienced analyst who can lead effective communication with a diverse set of stakeholders to report and obtain information on updated Model Risk Statuses. The individual will be responsible for compiling updates and challenging information received for monthly reporting. The ability to work efficiently and communicate effectively will be one of the keys to success. The incumbent will also lead other ongoing reporting processes including compilation of inventory for regulators, key performance indicators and validation cycle time reports. This position reports into the Senior Manager of Model Risk Management in Risk Management.
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • 5 years of proven experience leading communications and engagement activities in large, complex enterprise programs, preferably related to Model Risk Management or closely related field, in a large bank, consulting firm or regulator is preferred.
                                                                • +
                                                                • Model risk management experience is preferred (model governance, model risk audit, model validation, model development), though candidates with other experience are most welcome to apply but should connect their backgrounds to the description above.
                                                                • +
                                                                • Programming skills are an asset, though not essential (SQL, VBA, Python, etc.)
                                                                • +
                                                                • Excellent interpersonal and communication skills, written and oral
                                                                • +
                                                                • Must be detail oriented and organized while working with the third party/cross-functional dependencies and tight deadlines pressure.
                                                                • +
                                                                • Ability to navigate relationships and collaborate with stakeholders across the enterprise
                                                                • +
                                                                • Ability to understand technical knowledge and transform it into digestible, simple, and clear communications
                                                                • +
                                                                • Strong organizational and project management skills, with the ability to work in a fast paced environment and manage multiple deadlines and competing priorities
                                                                • +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                #LI-Remote
                                                                #LI-Onsite
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-16T17:29:06.218Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/204323269-senior-analyst-model-risk-reporting-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650202/senior-analyst-model-risk-reporting-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6fae9bfc-afac-4efd-96bc-931992e7e474,203174067,BenchSci,Senior Machine Learning Engineer - NLP (Remote),full,"Toronto, Ontario Remote",2023-03-09T17:39:07.531Z,"
                                                                +
                                                                We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.
                                                                +

                                                                +
                                                                Reporting to the Engineering Manager, ML, you'll apply your domain expertise to design and build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                +
                                                                +
                                                                +

                                                                You Will:

                                                                +
                                                                    +
                                                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                                                  • +
                                                                  • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                                                                  • +
                                                                  • Improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                  • +
                                                                  • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                                                                  • +
                                                                  • Own the solutions and long-term technology investments to drive innovation at BenchSciWork cross-functionally with different team members including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                                                                  • +
                                                                  • Contribute to sprint planning, estimation, and design/code reviews
                                                                  • +
                                                                  • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                                                                  • +
                                                                  • Establish and apply best industry practices
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                You Have:

                                                                +
                                                                    +
                                                                  • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                                                                  • +
                                                                  • Experience with Python and programming fundamentals; extensive experience with NLP and PyTorch
                                                                  • +
                                                                  • Experience with designing, building, and evaluating robust and scalable production-ready ML models
                                                                  • +
                                                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                                                  • +
                                                                  • Experience with data manipulation and processing, such as SQL or pandas
                                                                  • +
                                                                  • Strong cross-team communication and collaboration skills
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                +

                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-03-16T17:44:02.807Z,False,0,8,44,https://talenthub.vectorinstitute.ai/jobs/203174067-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/98cdb2f1-c580-420a-b372-7fb047baceb8,expired,2023-03-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +01c82e1a-848a-49c1-a79c-d20b4bfa0c69,202112585,CIBC,"Data Scientist, Pricing",on_site,"Ontario, Canada",2023-03-06T17:06:03.618Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What you\'ll be doing

                                                                +

                                                                As a Sr. Consultant, Pricing, you will be looking at and optimizing our pricing, in particular on our RESL businesses, working with stakeholders across our team, businesses, and partner groups, in particular our Finance and Treasury teams. You will strive to ensure that our growth, revenue, and client experience are appropriately balanced, with an overall objective of maximizing our business performance.

                                                                +

                                                                +

                                                                As part of Simplii’s data and analytics team within the Direct Financial Services line of business and Capital Markets business unit, you will be a key participant in building the bank of the future. We use a wide range of capabilities, spanning from business intelligence to machine learning, to grow our businesses with data. You will work alongside a group of knowledgeable professionals and technology partners in a fast-paced and collaborative environment with an overarching mandate to meet our growth objectives.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                                                +

                                                                +

                                                                How you\'ll succeed

                                                                  -
                                                                • Develop and improve the various actuarial models used
                                                                • -
                                                                • Help analyze experience results
                                                                • -
                                                                • Take part in the production of regulatory rate change submissions
                                                                • -
                                                                • Take part in the production and analysis of monthly financial results
                                                                • -
                                                                • Participate in various research projects and market studies
                                                                • -
                                                                • Maintain and develop the underwriting rules in place
                                                                • -
                                                                • Contribute to various underwriting analyses
                                                                • -
                                                                • Take part in reinsurance related tasks
                                                                • -
                                                                • Participate in the company’s budget process
                                                                • +
                                                                • Familiarity with finance and treasury: Working with Treasury funding information, you are comfortable with drawing insights from it

                                                                • +
                                                                • Strong analytical knowledge: Integrating and manipulating a variety of data sources and jointly optimizing growth and revenue, while assessing performance and future opportunities

                                                                • +
                                                                • Organization and attention to detail: You have the discipline and communication skills to manage complex initiatives and meticulously ensure consistency in a wide ranging set of analyses

                                                                • +
                                                                • Stakeholder management: Working with partners in Simplii and across the bank to continuously stay on top of a changing business environment

                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What You Bring to TD

                                                                +

                                                                WHO YOU ARE

                                                                  -
                                                                • Currently enrolled in an actuarial, math or related university program
                                                                • -
                                                                • Strong academic records and positive work term feedback
                                                                • -
                                                                • Detail orientated, Analytical and Critical Thinker
                                                                • -
                                                                • Quantitative proficiency and comfortable with large datasets
                                                                • -
                                                                • Proficient in Microsoft Excel (Formulas), and Microsoft Office Suite
                                                                • -
                                                                • Ideal candidate posses knowledge of R Shiny
                                                                • -
                                                                • Strong verbal and written communication skills
                                                                • -
                                                                • High degree of personal initiative
                                                                • -
                                                                • Not required but would be an asset: Previous Actuarial work experience Pursuing actuarial exams Knowledge and experience with SAS/SQL, VBA, R, Emblem, Radar, Python, Moody’s Analytics/GGY Axis and additional programs & languages University courses in Property & Casualty, Pricing/Ratemaking, Reserving, Life & Health, etc.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                                                • +
                                                                • You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                                                                • +
                                                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                • +
                                                                • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                                                • +
                                                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                • +
                                                                • You can demonstrate experience in technical knowledge – SQL, Python, and solid knowledge of data sourcing, manipulation and optimization.

                                                                • +
                                                                • You have a quantitative background with a PhD in Computer Science, Economics, Operations Research or equivalent experience. Working experience in a similar role would be beneficial

                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Early Talent Requirements

                                                                +

                                                                What CIBC offers

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  -
                                                                • This position is a 4-month work term and will commence May 5th- August 25th, 2023
                                                                • -
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • -
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                • +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                                                -

                                                                -

                                                                Start Date

                                                                -
                                                                – Fall, – Summer

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-30T17:29:05.011Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/205318966-tdi-actuarial-intern-co-op-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,expired,2023-03-16T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -3f212410-4d8d-4422-ab83-0abf4a559f36,202113588,BMO Financial Group,"Home Buying Transformation Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-03-06T17:12:01.599Z,"
                                                                -

                                                                Application Deadline:

                                                                03/29/2023

                                                                -

                                                                Address:

                                                                55 Bloor Street West

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                Toronto-33 Yonge Street, 7th

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Business Objectives, Cost Consulting, Machine Learning, Price Setting, Pricing Analysis
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Pricing_2303456?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-16T17:11:05.286Z,False,0,12,36,https://talenthub.vectorinstitute.ai/jobs/202112585-data-scientist-pricing-at-cibc,,expired,2023-03-06T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +6787fc86-9f94-41d1-9923-4e9c7304d859,204199151,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-03-12T17:12:01.768Z,"
                                                                +

                                                                Address:

                                                                33 Dundas Street West

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                We are looking for some one excited by the following:

                                                                -
                                                                  -
                                                                • Investigation into digital banking and digital product best practices
                                                                • -
                                                                • Competitor research to understand how BMO offerings compare
                                                                • -
                                                                • Analysis of various data sources and types to drive new insights
                                                                • -
                                                                • Support the coordination of various meetings and projects
                                                                • -
                                                                +

                                                                +

                                                                +

                                                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                                                +

                                                                +

                                                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                                                +
                                                                  +
                                                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.

                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.

                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                • +
                                                                • Focus may be on a business/group.

                                                                • +
                                                                • Thinks creatively and proposes new solutions.

                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                • +
                                                                • Works mostly independently.

                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                • +
                                                                +

                                                                +

                                                                Qualifications:

                                                                +
                                                                  +
                                                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                                                • +
                                                                • Experience in working with and linking big data sets across multiple sources.

                                                                • +
                                                                • Proficient in Microsoft Office.

                                                                • +
                                                                • Strong analytical and problem-solving skills.

                                                                • +
                                                                • Strong business communication and stakeholder management skills.

                                                                • +
                                                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-16T17:17:02.354Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/204199151-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-03-12T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +28d8411f-988a-49f0-8566-2e1490b0e639,205321390,OMERS,"Data Engineer, Investment Finance",on_site,"Ontario, Canada",2023-03-16T17:42:03.300Z,"
                                                                +

                                                                +

                                                                +

                                                                The Data Engineer, Investment Finance will report to the Manager, Financial Systems & Workflows, Investment Finance and will be responsible for supporting the Investment Finance team through designing, developing, implementing and maintaining the departmental data strategy that capitalizes on low-code solutions to enable robust data, analytics, and reporting, as well as playing a key role in collaborating with the stakeholders to identify data requirements and providing insightful analytic data and visualization solutions. The role requires an understanding of finance and investment data with a keen desire to explore new technologies and implement innovated solutions.

                                                                -

                                                                Additional Qualifications:

                                                                +

                                                                +

                                                                CORE RESPONSIBILITIES:

                                                                  -
                                                                • Working knowledge of digital products & channels and e.g. contact centre, mobile and online.
                                                                • -
                                                                • Working understanding of digital product management
                                                                • -
                                                                • Knowledge of BMO’s products and services.
                                                                • -
                                                                • Frontline customer service experience.
                                                                • -
                                                                • Real estate secured lending experience
                                                                • -
                                                                • Project management experience.
                                                                • +
                                                                • Develop, implement and the support the Investment Finance data strategy to manage structured and unstructured data that integrates the data into a data solution to support BI solutions, reporting and business processes
                                                                • +
                                                                • Provide innovative data solutions by working with stakeholders and across functional areas to understand and gather data objectives, and identify opportunities for improvement for data analysis, reporting and visualizations
                                                                • +
                                                                • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, and databases, and to make them accessible for various applications and reporting tools that enable analytics and reporting
                                                                • +
                                                                • Automate manual processes and optimize data ingestion and delivery to support departmental data needs, reporting and business processes
                                                                • +
                                                                • Partner with the Investment Finance Business Analysts to develop reports and PowerBI dashboards
                                                                • +
                                                                • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                • +
                                                                • Work across functional areas (with team members, investment professionals and leaders) to understand and identify data objectives, and provide solutioning that supports analytics, reporting and downstream data requirements
                                                                -

                                                                -

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                -

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                -

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                -

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                -

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +

                                                                +

                                                                QUALIFICATIONS:

                                                                  -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • -
                                                                • Analyzes issues and determines next steps.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • Strong experience with data management, investment systems, business intelligence, and reporting technologies
                                                                • +
                                                                • Experience working with complex data structures and developing efficient queries to create calculated fields and data aggregates (5+ years)
                                                                • +
                                                                • Relevant experience in data science and analytics in creating/maintaining investment and financial data models (5+ years)
                                                                • +
                                                                • Proven experience designing and developing dashboards using PowerBI (3+ years)
                                                                • +
                                                                • Proficient in ETL tools (such as Alteryx), cloud-based data platforms/systems (such as Azure, Snowflake), process automation, and standardization
                                                                • +
                                                                • Strong communication skills (written and verbal), with strong team orientation and great customer focus
                                                                • -
                                                                • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                                                • -
                                                                • Specialized knowledge.
                                                                • -
                                                                • Verbal & written communication skills - Good.
                                                                • -
                                                                • Organization skills - Good.
                                                                • -
                                                                • Collaboration & team skills - Good.
                                                                • -
                                                                • Analytical and problem solving skills - Good.
                                                                • +
                                                                • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                • +
                                                                • Good understanding of investment and finance products
                                                                • +
                                                                • Data governance experience is an asset
                                                                • +
                                                                • Track of record working in a role that intersects with business and technical analysis to support existing solutions, delivering new solutions, and contributing to investment system implementations and upgrades
                                                                • +
                                                                • Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field
                                                                +

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Home-Buying-Transformation-Analyst--Summer-2023--Co-op-Internship----4-Months_R230004245?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-03-30T17:17:02.762Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/202113588-home-buying-transformation-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -42b7d7b1-54ec-485a-9803-ef1f43ea3a48,202114042,Scotiabank,"Senior Analyst, Retail Risk Management (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-03-06T17:22:03.796Z,"

                                                                -

                                                                -

                                                                +

                                                                Our story:

                                                                +

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                +

                                                                +

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                +
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Investment-Finance_JR-4607?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-20T17:47:03.917Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/205321390-data-engineer-investment-finance-at-omers,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7213ee2e-bb4b-48f7-83d6-5c12382dfad6,210217845,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-03-30T17:06:03.566Z,"
                                                                +

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                +

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                +

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What You’ll Be Doing

                                                                +

                                                                +

                                                                Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                                                                +

                                                                +

                                                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                                                +

                                                                +

                                                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                                                +

                                                                +

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                +

                                                                +

                                                                How You’ll Succeed

                                                                +
                                                                  +
                                                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                • +
                                                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                • +
                                                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                • +
                                                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                                                • +
                                                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                • +
                                                                +

                                                                +

                                                                Who You Are

                                                                +
                                                                  +
                                                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                                                • +
                                                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                                                • +
                                                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                                                • +
                                                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                                                • +
                                                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                • +
                                                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                • +
                                                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                • +
                                                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                • +
                                                                +

                                                                +

                                                                What CIBC Offers

                                                                +

                                                                +

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                +
                                                                  +
                                                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • +
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • +
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • +
                                                                +

                                                                +

                                                                What you need to know

                                                                +
                                                                  +
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • +
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Location

                                                                161 Bay Street, 39th Floor

                                                                Employment Type

                                                                Regular

                                                                +

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                +

                                                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/210217845-director-treasury-quantitative-analytics-at-cibc,,expired,2023-03-30T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +3096d754-5671-44c3-844f-0ffa00f2b303,214825258,Scotiabank,"Manager, Data Platforms Risk & Audit Management - CID&A",on_site,Canada : Ontario : Toronto,2023-04-13T17:22:03.270Z,"

                                                                -

                                                                Requisition ID: 174650

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose of Job:

                                                                -

                                                                Reporting to the Sr Manager, Non Pre-Approval Origination, the Sr Analyst will assist the senior manager in monitoring new accounts origination trends for unsecured Lending portfolio, support on credit risk strategy initiatives and other ad-hoc analysis will be required as necessary.

                                                                +

                                                                Requisition ID: 175932

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                The Sr Analysts generally works within the established framework to carry on responsibilities under the supervision of the Senior Manager of Non Pre-Approval origination. A high degree of self-assurance, initiative and business sense is required of the Senior Analyst in order to carry out the position responsibilities proactively in a timely and effective manner.

                                                                +

                                                                Purpose:

                                                                -

                                                                The Sr Analyst will also use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning.

                                                                +

                                                                The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                                                                -

                                                                Job Responsibilities:

                                                                +

                                                                The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                                                                -

                                                                Portfolio Monitoring

                                                                -
                                                                • Create and maintain reports and dashboards that provide actionable insights.
                                                                • Execute on data requests accurately within a timely manner.
                                                                • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                                                                • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                                                                • -
                                                                +


                                                                Accountabilities:

                                                                -

                                                                Origination Strategies

                                                                -
                                                                • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                                                                • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                                                                • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                                                                • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                                                                • -
                                                                +

                                                                • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                                                                • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                                                                • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                                                                • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                                                                • Support and maintain Data Platforms risk and audit related documentation and tools
                                                                • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                                                                • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                                                                • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                                                                • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                                                                • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                                                                • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                                                                -

                                                                Support Business Line Initiatives/Projects

                                                                -
                                                                • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                                                                • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
                                                                • -
                                                                +

                                                                What we're looking for:

                                                                -

                                                                Job Requirements:

                                                                -

                                                                Required: Bachelor’s degree or higher or equivalent work experience;

                                                                -

                                                                A minimum of 1-3 years with an organization in the risk/portfolio management field or data science • Prior experience in a retail lending environment or credit risk management is an asset.

                                                                -

                                                                Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).

                                                                -

                                                                Able to translate data into digestible dashboards and business insights (Tableau, PowerBI). • Strong ownership mentality and can-do attitude.

                                                                -

                                                                Ability to work effectively within a team, able to multi-task and strong analytics skills. • Attention to detail with personal accountability to ensure accuracy.

                                                                +

                                                                • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                                                                • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                                                                • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                                                                • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                                                                • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                                                                • Attention to details, high standards for quality.

                                                                +


                                                                It would be nice if you had...

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,5,16,https://talenthub.vectorinstitute.ai/jobs/202114042-senior-analyst-retail-risk-management-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -28ccf06b-9156-4b13-ac2a-b2952c98d43c,203172169,Scotiabank,Data Scientist - Customer Insights Data & Analytics,on_site,Canada : Ontario : Toronto,2023-03-09T17:22:02.574Z,"

                                                                +

                                                                • Experience in IT audit, cloud implementations and data migrations.
                                                                • Knowledge of Google Cloud Platform data capabilities.
                                                                • Experience auditing business applications including application controls, access, and security administration.
                                                                • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                                                                • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                                                                • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                                                                • Bilingual in Spanish would be an asset.

                                                                +


                                                                Requirements & Qualifications:

                                                                +

                                                                • Post-Secondary education completed. Advanced degree preferred but not mandatory
                                                                • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                                                                • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                                                                +

                                                                -

                                                                Requisition ID: 174199

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose:

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214825258-manager-data-platforms-risk-audit-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,expired,2023-04-13T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +25bfe15f-d8ef-4ae5-a557-4b9417085037,213973185,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-04-10T17:24:01.875Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. Key objectives include driving business value, adopting key platforms, upholding reporting principles, simplifying and optimizing operations, supporting an inclusive environment and enhancing the colleague experience. The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization. This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                +

                                                                Job Description

                                                                Data & analytics is something you’re passionate about. Leading the Fraud Analytics and Reporting pod, you will work closely with partners in Fraud Strategy and Fraud Operation to determine analytical solutions that will drive performance, risk and mitigation strategies that align with business objectives.
                                                                Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                Sound good so far? Fantastic! We are looking for an experienced BI Specialist/Product Owner to own and deliver on a portfolio of highly complex Fraud reports/dashboards in collaboration with a large, diverse and inclusive team of data, analytics, and reporting practitioners. Together, you’ll help champion best-in-class business intelligence capabilities by measuring and driving value for business stakeholders, focusing on stories that drive action, align with standardized reporting principles, and enhancing our colleague experience.

                                                                As a Business Intelligence Specialist / Product Owner, you will:

                                                                +
                                                                  +
                                                                • Lead discussions intended to unlock and identify Fraud business drivers, definitions and metrics in order to interpret findings, act and provide strategic direction.
                                                                • +
                                                                • Prioritize and manage the Fraud portfolio reporting backlog, working with Fraud executives and analytics teams to define clear reporting requirements for new outputs. Continuously iterate, ensuring that features and user stories are scoped and prioritized;
                                                                • +
                                                                • Collaborate with data owners to identify data elements and business leads to elicit information requirements and articulate those requirements in a manner that can be easily understood by data and reporting delivery pods;
                                                                • +
                                                                • Deliver and/or review presentations and communications to executive audiences and various working groups;
                                                                • +
                                                                • Have a deep understanding of business / technology, organizational practices and disciplines;
                                                                • +
                                                                • Plan effective test and learn scenarios for various programs or scenarios, leading a cross functional pod towards a singular objective;
                                                                • +
                                                                • Adhere to internal policies/procedures and applicable regulatory guidelines, contribute to the review of internal processes and activities and assist in identifying potential opportunities to improve operational efficiencies;
                                                                • +
                                                                • Manage issues raised by business stakeholders and work with delivery partners to streamline and improve existing reporting to eliminate errors and redundancies;
                                                                • +
                                                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues;
                                                                • +
                                                                • Provide on-going communications on project status and systems capabilities, participate in agile ceremonies (standups, planning, retros, showcases), express new ideas for improving product value;
                                                                • +
                                                                • Work with colleagues and stakeholders located in various remote sites, generally US or Canada;
                                                                • +
                                                                • Generally, focus on broad range of complex issues that may span from medium – long term issues (e.g. 6-12 months).
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +

                                                                Job Requirements

                                                                +
                                                                  +
                                                                • The ideal candidate should have 7+ years of relevant experience in business or financial reporting/business data analysis and reporting, knowledgeable and savvy with new technology and tools preferably within the global financial services / financial crimes and fraud management industries;
                                                                • +
                                                                • Demonstrated relationship building skills – strong collaborator who successfully engages executive leadership, business-line and infrastructure/support partners in a matrix environment, gives direction to colleagues and, makes things happen through using positive influence. Experience leading ‘Design Thinking’ sessions would be an asset;
                                                                • +
                                                                • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo;
                                                                • +
                                                                • Energetic, enthusiastic, pro-active self-starter – willing to “roll up the sleeves” to deliver results in the short-term while building for the long-term; agile, adaptable, ‘can-do’ attitude, high degree of responsiveness and initiative;
                                                                • +
                                                                • Excellent oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion (for executive-level consumption);
                                                                • +
                                                                • Robust organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities, with a proven track record of executing with excellence and making an impact.
                                                                • +
                                                                • Comfortable accessing large data sources, performing mining, extractions and manipulations to uncover relevant data findings and big-picture stories;
                                                                • +
                                                                • Very strong working knowledge of MS Excel, MS PowerPoint, MS Access, MS Word, MS Outlook, MS OneNote;
                                                                • +
                                                                • Background building and using business intelligence, analytics and/or data visualization tools (e.g. Tableau, Alteryx, PowerBI, etc.);
                                                                • +
                                                                • Experience developing and maintaining reporting environments across multiple platforms (e.g. Star Schema, ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, VBA, SAS, Hadoop, R, Python, etc.);
                                                                • +
                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +#LI-Hybrid #businessintelligence
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/213973185-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17954641/business-intelligence-specialist-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +429b9cec-70b6-4bc9-be5a-81af9d7f949f,217073599,Scotiabank,Data Scientist - CID&A,on_site,Canada : Ontario : Toronto,2023-04-20T17:22:03.621Z,"

                                                                -

                                                                The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within Scotiabank’s Canadian Bank Analytics group. The individual will develop statistical models, data-mining and analytical solutions to solve a wide array of business problems, including how to drive acquisition, migration and engagement strategies across our customer base.

                                                                -

                                                                Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies. We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

                                                                -

                                                                What will you do in this role?

                                                                -
                                                                • Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey
                                                                • Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
                                                                • Act as a modelling and analytics generalist, provide subject matter expertise on modelling/segmentation, advanced analytics, data mining and statistical analysis to internal stakeholders
                                                                • Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
                                                                • Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
                                                                • Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem
                                                                • -
                                                                +

                                                                Requisition ID: 176950

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Do you have the skills that will enable you to succeed?

                                                                +

                                                                Purpose:

                                                                -
                                                                • Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                                                                • 5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
                                                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with hands-on experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
                                                                • Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
                                                                • Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
                                                                • Familiar with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
                                                                • Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
                                                                • Demonstrated experience developing and implementing recommendation engines in a multi-channel marketing environment an asset
                                                                • Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
                                                                • Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior
                                                                • -
                                                                +

                                                                Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills. The incumbent uses their advanced analytical skills to develop analytical assets that will help the Bank achieve its business objectives.

                                                                -

                                                                What's in it for you?

                                                                +

                                                                The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.

                                                                -
                                                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                • We provide you with the tools and technology needed to succeed
                                                                • You'll get to work with and learn from diverse industry leaders
                                                                • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.
                                                                • -
                                                                +

                                                                Excellent written and communication skills are required and the Data Scientist will work closely with the Senior Data Scientist to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

                                                                +

                                                                +

                                                                Major Accountabilities:

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,8,65,https://talenthub.vectorinstitute.ai/jobs/203172169-data-scientist-customer-insights-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -d171a3d7-7f34-46fd-a2a8-552ee215d556,208690163,BMO Financial Group,"Analyst, Customer Segments, Summer 2023 (Co-op/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.180Z,"
                                                                -

                                                                Address:

                                                                55 Bloor Street West

                                                                -

                                                                -

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                -
                                                                  -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • -
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • -
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • -
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • -
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • -
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • -
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • -
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • -
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • -
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • -
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • -
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • -
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • -
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • -
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • -
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • -
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • -
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  -
                                                                • -
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • -
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • -
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • -
                                                                • Verbal & written communication skills - In-depth.
                                                                • -
                                                                • Collaboration & team skills - In-depth.
                                                                • -
                                                                • Analytical and problem solving skills - In-depth.
                                                                • -
                                                                • Influence skills - In-depth.
                                                                • -
                                                                • Data driven decision making - In-depth.
                                                                • +
                                                                  • Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
                                                                  • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
                                                                  • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
                                                                  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                  • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
                                                                  • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
                                                                  • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Segments--Summer-2023--Co-op-Internship--4-months_R230003410?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-06T17:17:03.658Z,False,0,6,20,https://talenthub.vectorinstitute.ai/jobs/208690163-analyst-customer-segments-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ee6fed05-60f8-475d-ae5f-973cb2d79597,206568796,Scotiabank,Automotive Risk Strategy & Analytics,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:02.258Z,"

                                                                +


                                                                Requirements & Qualifications:

                                                                +
                                                                • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
                                                                • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
                                                                • Strong data engineering / data pipeline skills – the ability to understand how to efficiently build model pipelines to support production ready models
                                                                • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
                                                                • Strong programming skills in Python and SQL.
                                                                • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
                                                                • Experience using common machine learning algorithms in Python, GCP.
                                                                • Experience using and implementing visualization tools like PowerBI and/or Tableau.
                                                                • Knowledge of the Business Banking products and services an asset.
                                                                • +

                                                                -

                                                                Requisition ID: 175543

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose of Job:

                                                                -

                                                                -

                                                                The Manager, Portfolio Insights, SDA Risk, GRM will monitor key risk performance of the Retail Automotive portfolio, and contribute to the
                                                                development and enhancement of business intelligence tools and provide actionable insight to the Automotive Risk teams as well as product and
                                                                business line partners.

                                                                -


                                                                The role is highly technical and requires expert SAS, data analytics and BI tools knowledge, as well as ability to optimize and maximize
                                                                efficiency of existing processes. The incumbent will deliver strategic analysis to senior management while working with multiple stakeholders
                                                                and partners to facilitate development of Risk-Reward opportunities. He/She will develop optimal analytical methodologies to assess the growth
                                                                opportunities, and monitor results.

                                                                -

                                                                -

                                                                Job Responsibilities:

                                                                -

                                                                -

                                                                Accountability 1: Automotive Credit Risk Portfolio Tracking

                                                                -


                                                                • Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key
                                                                performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize
                                                                workstream.
                                                                • Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing
                                                                vast amounts of data into coherent messages.
                                                                • Proactively provide strategic analysis that will assist in optimizing risk rewards ratios and grow the portfolios
                                                                • Collaborate with Strategy and Policy teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics
                                                                and quality, line optimization and collections effectiveness
                                                                • Analyze strategy effectiveness , leverage champion/challenger capabilities to confirm assumptions and recommend changes, identify if
                                                                any credit risks are or will become in excess of the risk appetite framework and make recommendations on how to mitigate.

                                                                -

                                                                -

                                                                Accountability 2: Customer Focus

                                                                -


                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                                -

                                                                -

                                                                Accountability 3: Innovation

                                                                -


                                                                • Explore opportunities for using latest innovative analytics and Business Intelligence tools to showcase portfolio dynamics, derive
                                                                insights and streamline processes
                                                                • Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability

                                                                -

                                                                -

                                                                Accountability 4: Risk Appetite Framework alignment

                                                                -


                                                                • Ensure all business line strategic priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk
                                                                Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than
                                                                planned.
                                                                • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and
                                                                effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF
                                                                risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory
                                                                Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                -

                                                                -

                                                                Job Requirements:

                                                                +

                                                                Educational Requirements:

                                                                -
                                                                • Bachelor's or Graduate Degree in Math, Engineering, Computer Science, Marketing, Economics or Statistics
                                                                • 3+ years analytical experience required
                                                                • Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
                                                                • Strong communication skills essential with clients and management
                                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                • 1+ years’ experience in Retail Products is a great asset
                                                                • +
                                                                  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T17:27:06.974Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/206568796-automotive-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -594bc3d7-fe54-49f4-9809-7b0fe341422d,202420409,Scotiabank,"Manager, AI and Machine Learning",on_site,"Ontario, Canada",2023-03-07T18:12:28.541Z,"

                                                                Requisition ID: 168147

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -


                                                                Purpose

                                                                -

                                                                The role Manager, AI and Machine Learning, AML/ATF Models and Analytics is responsible for applying sophisticated statistical and AI/Machine Learning technique to develop and implement better models and solutions for Transaction Monitoring, Payment and Name Screening and Client risk Rating.

                                                                -

                                                                This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives, and ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -

                                                                Accountabilities

                                                                -
                                                                  -
                                                                • Apply sophisticated modeling techniques, including AI and Machine learning, to develop and implement innovation models and solutions for the Bank's AML program.
                                                                • -
                                                                • Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance the model performance for AML/ATF and ABAC models
                                                                • -
                                                                • Participate with, the model development teams to scope, understand and appropriately document AML/ATF risk, develope and update statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
                                                                • -
                                                                • Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML program
                                                                • -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • -
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • -
                                                                • Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                                                                • -
                                                                -

                                                                Skills / Experience

                                                                -

                                                                Experience with statistical modeling and data science methods

                                                                -

                                                                Experience programming in Python, Scala, R and C++. Experience with databases such as Oracle or SQL Server
                                                                AML/ATF (including ABAC) experience or analytical knowledge

                                                                -

                                                                Education

                                                                -

                                                                Master’s degree or higher in science, technology, engineering or mathematics

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                -

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-AI-and-Machine-Learning-ON-M5H1B6/565479817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T18:12:39.178Z,True,0,19,148,https://talenthub.vectorinstitute.ai/jobs/202420409-manager-ai-and-machine-learning-at-scotiabank,,expired,2023-03-07T18:12:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -44bcefa4-7aa8-4ee3-86d0-a61c4dd3f463,211705897,NVIDIA,"Solutions Architect, Conversational AI Technology",on_site,"Ontario, Canada",2023-04-03T17:42:04.425Z,"
                                                                -

                                                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. In particular we are looking for a candidate with understanding of modern Natural Language Processing (NLP), Automatic Speech Recognition (ASR) or Text To Speech (TTS) workflows. Exposure to inferencing technology (e.g. understanding of model compression techniques, model compilation or model serving) in the above mentioned space would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                -

                                                                -

                                                                You will be working with the latest HPC architectures coupled with bleeding edge NLP, ASR and TTS models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                -

                                                                -

                                                                What You’ll Be Doing:

                                                                -
                                                                  -
                                                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art NLP, ASR, TTS and broader Conversational AI software and hardware technologies to customers

                                                                • -
                                                                • Work directly with key customers to understand their technology and provide the best solutions

                                                                • -
                                                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                • -
                                                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

                                                                • -
                                                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                • -
                                                                • Work closely with customer\'s data science and IT teams

                                                                • -
                                                                -

                                                                -

                                                                What We Need to See:

                                                                -
                                                                  -
                                                                • Excellent verbal, written communication, and technical presentation skills in English.

                                                                • -
                                                                • MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

                                                                • -
                                                                • 5+ years work or research experience with Python, C++ software development

                                                                • -
                                                                • A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                • -
                                                                • Work experience and knowledge or modern NLP, ASR or TTS.

                                                                • -
                                                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                • -
                                                                • Capable of working in a rapidly changing environment without losing focus.

                                                                • -
                                                                • Ability to multitask effectively in a fast-paced environment.

                                                                • -
                                                                • Action-oriented with strong analytical and problem-solving skills.

                                                                • -
                                                                • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

                                                                • -
                                                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team

                                                                • -
                                                                -

                                                                -

                                                                Ways to Stand Out from The Crowd:

                                                                -
                                                                  -
                                                                • Experience running large scale distributed DL training.

                                                                • -
                                                                • Background with working with larger transformer based architectures for NLP, CV, ASR or other.

                                                                • -
                                                                • Experience applying NLP, ASR, TTS technology and its deployment to production.

                                                                • -
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • -
                                                                • Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

                                                                • -
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Reading/Solutions-Architect--Conversational-AI-Technology_JR1965377,feed-importer@jobboard.io,,,,2023-04-06T17:47:03.358Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/211705897-solutions-architect-conversational-ai-technology-at-nvidia,,expired,2023-04-03T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -a348979b-1a9f-4221-b611-96708e13df77,211705896,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-04-03T17:42:04.333Z,"
                                                                -

                                                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                -

                                                                -

                                                                You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                -

                                                                -

                                                                What You’ll Be Doing:

                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,10,27,https://talenthub.vectorinstitute.ai/jobs/217073599-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,expired,2023-04-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e291c21a-babd-4d28-b5ae-b2c3502d8742,208693672,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-03-25T17:27:03.186Z,"
                                                                +

                                                                What’s the opportunity?

                                                                +

                                                                Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                                                +

                                                                Your responsibilities include:

                                                                  -
                                                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                                                • -
                                                                • Work directly with key customers to understand their technology and provide the best solutions.

                                                                • -
                                                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                • -
                                                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                                                • -
                                                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                • +
                                                                • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                                                • +
                                                                • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                                                • +
                                                                • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                                                • +
                                                                • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                                                • +
                                                                • To manage other research team leads and provide guidance and support.
                                                                • +
                                                                • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                                                -

                                                                -

                                                                What We Need to See:

                                                                +

                                                                You’re our ideal candidate if you have:

                                                                  -
                                                                • Excellent verbal, written communication, and technical presentation skills in English.

                                                                • -
                                                                • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                                                • -
                                                                • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                • -
                                                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                • -
                                                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                                                • +
                                                                • A Ph.D. degree in Computer Science or a related technical field;
                                                                • +
                                                                • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                                                • +
                                                                • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                                                • +
                                                                • Experience delivering successful high-impact machine learning products
                                                                • +
                                                                • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                                                • +
                                                                • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                                                • +
                                                                • The ability to formulate and drive multiple research projects independently;
                                                                • +
                                                                • Exceptional communication and leadership skills;
                                                                • +
                                                                • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                                                -

                                                                -

                                                                Ways to Stand Out from The Crowd:

                                                                +

                                                                What\'s in it for you?

                                                                  -
                                                                • Experience running large scale distributed DL training.

                                                                • -
                                                                • Background with working with larger transformer-based architectures.

                                                                • -
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • -
                                                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                                                • +
                                                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                • +
                                                                • Ability to make a difference and lasting impact from a local-to-global scale
                                                                -

                                                                -

                                                                -

                                                                -

                                                                -
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-04-06T17:47:03.358Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/211705896-senior-ai-solutions-architect-at-nvidia,,expired,2023-04-03T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -672d1a4a-3dcc-4422-a030-84e091a2d7f6,203172183,Scotiabank,"Senior Engineer, Analytics DevOps",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.730Z,"

                                                                +

                                                                About Borealis AI

                                                                +

                                                                Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                +

                                                                +
                                                                ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:14:24.537Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208693672-research-director-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +3f80d43d-0892-4dd3-8d3a-468107409931,209219015,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-03-27T17:22:03.110Z,"

                                                                -

                                                                Requisition ID: 175354

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Requisition ID: 176220

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                Purpose:

                                                                -


                                                                As a Analytics DevOps Senior Engineer, your responsibility will be to write scripts to manage and automate MLOps and DevOps for analytics deployment of software releases. You will evaluate the latest MLOps solutions to optimize our MLOps platform.

                                                                +

                                                                Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                                                While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                                                                Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                                                                -

                                                                Accountabilities:

                                                                -


                                                                • Design, create and deliver a range of MLOPs Build Automation and Deployment solutions on GCP.

                                                                -

                                                                • You will work as part of the team that manages and delivers Software solutions for analytics teams to deliver advanced analytics solutions.

                                                                -

                                                                • Automate and streamline our operations and processes. You`ll support building and maintaining tools for deployment, monitoring and operations.

                                                                -

                                                                • Design, automate, build and operate analytics enablement on GCP.

                                                                -

                                                                • Work with the existing Analytics team members to design and implement MLOps and data engineering solutions.

                                                                +

                                                                Job Purpose:

                                                                -


                                                                Requirements & Qualifications:

                                                                +

                                                                Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                                                -

                                                                • Strong knowledge of Python required.
                                                                • Hands-on with Spark and pySpark.
                                                                • Passion to continual learn new and changing technologies.
                                                                • Strong self-leaning skills as we work with many new technologies.
                                                                • Highly proficient working with business stakeholders and project teams to deliver solutions.
                                                                • GCP experience a strong asset.
                                                                • Working knowledge of docker.
                                                                • Modern DevOps practices .
                                                                • Previous experience with Git and Gitflow.
                                                                • Comfortable presenting to large groups.

                                                                -

                                                                +

                                                                Job Responsibilities:

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-08T20:24:54.517Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/203172183-senior-engineer-analytics-devops-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -748d993f-e196-4a9f-9fc1-eef2023ec568,205318967,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-03-16T17:24:05.387Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                1. Participate in the strategic management of debt collections by:
                                                                2. +
                                                                +
                                                                • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                                                • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                                                • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                                                • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                                                • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                                                • Ensuring future enhancements continue to be identified and implemented
                                                                • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                                                                • +
                                                                +

                                                                +

                                                                2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                                                                +
                                                                • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                                                • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                                                • Streamlining and/or integrating automation and technology
                                                                • Continually challenging the ‘status quo’ through innovation
                                                                • Support construction of a Centre of Excellence in Collections
                                                                • +
                                                                +

                                                                +

                                                                Job Requirements:

                                                                +

                                                                +
                                                                • Two to three years’ experience in data analytics
                                                                • Experience with statistical software packages such as SAS or SQL
                                                                • Strong leadership, collaboration, and communication skills
                                                                • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:01:21.389Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/209219015-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ab51f9c1-0516-441d-891d-337c7ce43f41,212883400,TELUS,Senior Machine Learning Engineering Consultant,on_site,"Ontario, Canada",2023-04-06T17:42:02.218Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +

                                                                +

                                                                Our team and what we’ll accomplish together

                                                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                                                +

                                                                +
                                                                  +
                                                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects
                                                                • +
                                                                • We have flexible work styles with the ability to work in and out of the office
                                                                • +
                                                                • You will work in a team that actively supports your personal development with progressive training and development tools
                                                                • +
                                                                +


                                                                What you’ll do

                                                                +

                                                                +
                                                                  +
                                                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies
                                                                • +
                                                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                                                • +
                                                                • Select appropriate datasets and data representation methods
                                                                • +
                                                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                                                • +
                                                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                • +
                                                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                                                • +
                                                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                                                • +
                                                                • Responsible for end-to-end engagement from problem definition to insight delivery as well as value realization & measurement
                                                                • +
                                                                +

                                                                +

                                                                -

                                                                -

                                                                Department Overview

                                                                -
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                -

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                -

                                                                What are your main responsibilities?

                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                +

                                                                  -
                                                                • Own and ship product features that enable ML engine capabilities
                                                                • -
                                                                • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                • -
                                                                • Work with research scientists and MLOps team to maintain service product.
                                                                • +
                                                                • You have 5 + years experience in a data related position
                                                                • +
                                                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                                                • +
                                                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                                                • +
                                                                • You are well versed in software and AI development lifecycles
                                                                • +
                                                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                                                • +
                                                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                                                • +
                                                                • You have the ability to communicate effectively to gather advanced Data Science requirements from Director-level stakeholders and communicate finding/insights in clear concise manner; ability to create/deliver impactful presentations
                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -Must-Have:

                                                                +


                                                                Great-to-haves

                                                                +

                                                                  -
                                                                • Experience with building and scaling data-intensive software.
                                                                • -
                                                                • You value good software design and sweat over details in code and API design.
                                                                • -
                                                                • You enjoy learning new technology and also educating others.
                                                                • -
                                                                • You take great personal pride in building robust and scalable software.
                                                                • -
                                                                • You strive to communicate clearly and with empathy.
                                                                • -
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • -
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                • +
                                                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                                                • +
                                                                • Google Professional ML Engineering Certification
                                                                • +
                                                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                                                • +
                                                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote +
                                                                -

                                                                Nice to have

                                                                -

                                                                Experience building a library or a framework.
                                                                Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.
                                                                Knowledge of distributed systems.

                                                                +

                                                                +

                                                                -

                                                                -

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                -

                                                                -

                                                                Inclusiveness

                                                                -
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-10T17:29:02.988Z,False,0,8,32,https://talenthub.vectorinstitute.ai/jobs/205318967-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-03-16T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e47fa44a-1de8-4557-88ab-c316de8fd26a,210219317,RBC,"Manager, Cards Analytics and Insights",on_site,"Toronto, ON, Canada",2023-03-30T17:16:02.224Z,"
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-05-06T19:26:17.997Z,False,0,5,35,https://talenthub.vectorinstitute.ai/jobs/212883400-senior-machine-learning-engineering-consultant-at-telus,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +fb948c7c-2ab2-4a84-9048-e5e513efddf4,218282685,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-04-24T17:22:02.211Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 172337

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose

                                                                +

                                                                +

                                                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                +

                                                                +

                                                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                                                +

                                                                +

                                                                Accountabilities

                                                                +

                                                                +
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                                                • Identify improvements of existing fraud strategies, procedures and policies
                                                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                                                • Lead / participate in the identification, development and implementation of new initiatives
                                                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Education / Experience

                                                                +

                                                                +
                                                                • A University degree in statistics, mathematics or computer science
                                                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                                                • Experience with PRM or similar fraud platform strongly desired
                                                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                                                • Strong communication skills essential with clients, vendors and management
                                                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218282685-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ad389f6c-ebf3-4b1f-a640-c3ba13b2b8d9,217073195,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.462Z,"

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Manager, Cards Analytics and Insights

                                                                +

                                                                Job Title

                                                                Senior Analytics Manager

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                RBC is currently recruiting for a Manager role for the Cards, Payments and Banking team. Your responsibilities will include:

                                                                -
                                                                  -
                                                                • Providing end-to-end analytics advisory services including conceptualizing business questions, designing and executing analytics framework and recommending and influencing the credit card business for decision making purpose

                                                                • -
                                                                • Identifying underlying business trends using analytical tools and transforming them into actionable insights

                                                                • -
                                                                +

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                +

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                -

                                                                What will you do?

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Act as a subject matter expert regarding analytics / data science topics (e.g. data visualization, storytelling, KPI definition, statistical analysis, predictive modelling etc.).

                                                                • -
                                                                • Support business growth targets by understanding business needs and providing concise, insightful and timely analytics of key trends through interpretation of interplays between portfolio / business performance, costs and business strategy.

                                                                • -
                                                                • Assist Senior Manager and collaborate with business partners in rapid identification, prioritization and deployment of analytics to define new potential business opportunities and to support decisions through the provision of industry and competitor data.

                                                                • -
                                                                • Participate in cross-functional teams through the analytics process to make sound information-based decisions and develop robust measures to effectively identify, mitigate and monitor risks and opportunities.

                                                                • -
                                                                • Present and defend analysis and recommendations to a wide range of stakeholders and senior key decision makers.

                                                                • +
                                                                • Apply your skills in data validation, exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                                                • +
                                                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                                                • +
                                                                • Drive the automation and implementation of powerful data-backed reports to stakeholders throughout the organization.
                                                                • +
                                                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                                                • +
                                                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                                                • +
                                                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                                                • +
                                                                • Respond to data analysis inquiries from the internal audit team.

                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must have:

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must have

                                                                  -
                                                                • At least two previous work term experiences in clients, product, marketing or risk analytical or reporting role; Experiences in supporting credit card business and/or financial services industry an asset

                                                                • -
                                                                • Programming experience to extract data and complete complex analytics. SAS / SQL required. R, Python, etc. preferred

                                                                • -
                                                                • Instinctive curiosity and strategic mindset to drill into the analytics to understand business drivers and predict business growth and the technical ability to apply this knowledge to resolve complex business questions

                                                                • -
                                                                • Proven ability to communicate clearly and concisely to all levels of the company. Strong skills in presentation and story telling

                                                                • -
                                                                • A hunger for continued development and learning

                                                                • +
                                                                • Degree in a quantitative field
                                                                • +
                                                                • Experience with either Python or R as well as SQL and other NoSQL DBs
                                                                • +
                                                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                                                • +
                                                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition

                                                                -

                                                                Nice to have:

                                                                +

                                                                Nice to have

                                                                  -
                                                                • Knowledge in Hadoop, Google Analytics and Big Data environment

                                                                • -
                                                                • Advance degree in quantitative discipline

                                                                • +
                                                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                                                • +
                                                                • Experience working with Dataiku
                                                                • +
                                                                • Understanding of software engineering design principles
                                                                • +
                                                                • Experience building natural language processing (NLP) and unsupervised learning models
                                                                • +
                                                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • Ability to make a difference and lasting impact

                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • -
                                                                • Opportunities to do challenging work

                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Flexible work/life balance options

                                                                -

                                                                Job Summary

                                                                -

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Personal and Commercial Banking

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-27

                                                                Application Deadline:

                                                                2023-04-10
                                                                +

                                                                Job Summary

                                                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-04-19

                                                                Application Deadline:

                                                                2023-05-04

                                                                Inclusion and Equal Opportunity Employment

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000054780/Manager-Cards-Analytics-and-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-10T17:21:02.964Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/210219317-manager-cards-analytics-and-insights-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -dc884621-868b-4671-be9e-33090060c59b,212880722,TD Bank Group,Bus Application Analyst III,on_site,"Toronto, ON",2023-04-06T17:24:04.289Z,"
                                                                -

                                                                Company Overview

                                                                -
                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                -
                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000057312/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T17:21:01.982Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/217073195-senior-analytics-manager-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +123112bc-00fb-4979-978b-0d87bdbbe341,217075525,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2023-04-20T17:41:02.048Z,"
                                                                +

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

                                                                -

                                                                We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

                                                                -

                                                                Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

                                                                -

                                                                If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

                                                                -

                                                                -

                                                                Job Description

                                                                -
                                                                -

                                                                About this Role

                                                                -

                                                                Are you a conceptual and analytical thinker, at ease working on your own or together with a team? In this professional role you will provide specialized business application management guidance and support for a designated functional area. You’ll be responsible for gathering requirements related with the application lifecycle, business testing and process documentation as well as end-user support of the business applications.

                                                                -

                                                                As a Business Application Analyst III, you will:

                                                                +

                                                                Job Description:

                                                                +

                                                                The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking an experienced Senior Data Analyst to join our CXO Analytics team. This team is dedicated to supporting client growth and performance through extracting meaningful insights from enterprise data.

                                                                +

                                                                +

                                                                Reporting to the AVP, CXO Analytics, the Senior Data Analyst will play an integral role in migrating our existing Lead Program reporting from SAS to AWS through migrating the technology to our newest data stack and updating existing reporting to provide more insight, a robust data foundation, and easier to understand visuals. This is an exciting opportunity to build new reports using new data sources and new technology. Please note this is a 6-month contract opportunity.

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Bring advanced knowledge of applications management, supported by your team, including system components, functionality, interfaces, data flows and business rules
                                                                • -
                                                                • Provide functional business application management program support within an area of specialty
                                                                • -
                                                                • Elicit, analyze, document, communicate, and manage requirements/user stories with stakeholders and pod members by applying a variety of elicitation techniques to probe, challenge, and understand requirements according to the requirements management discipline and alignment to TD standards/processes, industry best practices and NEW Agile @ Scale framework
                                                                • -
                                                                • Identify, document, and validate current state processes and work with stakeholders to design the desire future state
                                                                • -
                                                                • Lead requirements management from high level, mid level to detailed level business requirements (including business use cases/scenarios, business rules, business process maps, customer data flows, themes/initiatives) and translate business requirements into detailed functional specifications considering non-functional requirements and accessibility standards (i.e., epics, stories, tasks, etc.)
                                                                • -
                                                                • Support PO in the development of story map and creation of epics and spikes/enablers that require additional technical expertise
                                                                • -
                                                                • Lead and facilitate user story refinement ceremonies
                                                                • -
                                                                • Bridge the communication between PO and development/QE members, and lead the delivery of requirements/user stories across the pod
                                                                • -
                                                                • Active participation in all POD ceremonies including PI Planning, Sprint Planning, Daily Standups, End of Sprint Demo/showcases, and Retrospectives
                                                                • -
                                                                • Establish and maintain full requirements traceability (Feature > HLR > Epic > WFs > detailed level User Stories)
                                                                • -
                                                                • Collaborate with PO, DCX, risk and technology partners to refine, estimate, prioritize and break down user stories into consumable size (i.e., completed within one sprint)
                                                                • -
                                                                • Proactively identify, communicate, and track requirement risks, issues, assumptions, dependencies, constraints
                                                                • -
                                                                • Provide recommendation to support the development of system design, test plans, and necessary artifacts to ensure business needs are met
                                                                • -
                                                                • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                                                • -
                                                                • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                                                • -
                                                                • Provide sound technical knowledge and foundational understanding of the various components of the applications, supported by the team in relation to system components, functionality, interfaces, data flows and business rules (ex. UI, native vs web based, API, mid-tier/backend)
                                                                • +
                                                                • Design and engineer data products in Tableau

                                                                • +
                                                                • Ensure that a high level of data quality and data integrity are maintained across all data sources

                                                                • +
                                                                • Convert complex business and technical rules into logic for data flows, data pipelines and dashboards

                                                                • +
                                                                • Develop visualization solutions that present data accurately and drive insights to guide business decisions and outcomes

                                                                • +
                                                                • Collaborate with business stakeholders to understand reporting needs

                                                                • +
                                                                • Work with our Data Enablement teams to implement data products for reporting needs

                                                                • +
                                                                • Perform ad-hoc analysis to help explore new data questions

                                                                -
                                                                -

                                                                -

                                                                Requirements

                                                                -
                                                                -What can you bring to TD?

                                                                -

                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • Three (3) or more years relevant business analysis experience
                                                                • -
                                                                • Expert knowledge of business-supported applications and PDLC/Agile methodology along with policies, procedures and practices, competitors, and market trends
                                                                • -
                                                                • Proficiency in using analytical software tools, MS Office, process modeling, data analysis methods and reporting techniques, and Atlassian (Confluence, Jira, and its installed add-ons)
                                                                • -
                                                                • Ardent to work multi-functionally and independently, communicate (both in speaking and writing), provide direction or assistance and build positive working relationships across teams and functions through strong analytical and problem-solving skills
                                                                • +
                                                                • 3-5 years of hands-on experience working with AWS technologies for data processing and analytics; demonstrated experience with relational database systems, relational models, and dimensional models

                                                                • +
                                                                • 3-5 years of experience with engineering data products as input to various analytical models

                                                                • +
                                                                • 3 years of experience in SQL with a proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                                • +
                                                                • 2 years of experience with AWS Glue for ETL

                                                                • +
                                                                • Experience in building dashboards in Tableau or an equivalent tool, with the ability to produce well-designed interactive dashboards and automated reports

                                                                • +
                                                                • Proven experience working with complex data sources and various data types to develop robust data foundations and production-grade data products

                                                                • +
                                                                • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                                • +
                                                                +

                                                                +

                                                                What would be nice to have?

                                                                +
                                                                  +
                                                                • Experience with Salesforce

                                                                • +
                                                                • Experience with SAS programming

                                                                • +
                                                                • Experience working in a large financial services organization

                                                                • +
                                                                • Knowledge of fundamental statistical models & techniques

                                                                • +
                                                                +

                                                                +

                                                                What are the unique requirements?

                                                                +
                                                                  +
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5-year history checks)

                                                                • +
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • +
                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +
                                                                  +
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • +
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • +
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • +
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • +
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                                • +
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • +
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                -

                                                                -

                                                                Hours

                                                                -
                                                                37.5

                                                                -

                                                                Inclusiveness

                                                                -

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                +

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18096901/bus-application-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-10T17:29:02.988Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/212880722-bus-application-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18096901/bus-application-analyst-iii-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -6ad081d8-4dc1-46b5-9bd4-82cfa690d047,212877130,CIBC,"Data Analyst, Alternate Solutions Group",on_site,"Ontario, Canada",2023-04-06T17:06:02.833Z,"
                                                                -

                                                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                +

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                +

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                To learn more about CIBC, please visit CIBC.com

                                                                +

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                Job Description

                                                                +

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                What You’ll Be Doing

                                                                -

                                                                CIBC ASG, the Alternate Solutions Group, comprises several direct, digital banking businesses, including Global Money Transfer and Simplii Financial – CIBC’s Canadian digital banking brand. It is an innovative and fast moving branch of the CIBC Capital Markets group.

                                                                -

                                                                The ASG Analytics team supports these businesses by producing data analysis and modelling to increase operational efficiency, improve client experience and drive revenue.

                                                                -

                                                                You will work closely with our business and technology partners in ASG to understand the business initiatives and produce end-to-end analytics solutions, taking models from experiment to deployment.

                                                                -

                                                                At CIBC we enable the work environment most optimal for you to thrive in your role Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                +

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                +

                                                                Job Category:

                                                                Advanced Analytics

                                                                +

                                                                Posting End Date:

                                                                02/05/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00078475?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-04T17:46:03.422Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/217075525-senior-data-analyst-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +d3e5e993-b597-4c7f-bfcf-0cf620ba495b,217073196,RBC,Reporting & Analytics Analyst,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.567Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Reporting & Analytics Analyst

                                                                -

                                                                How You’ll Succeed

                                                                -

                                                                Expertise: You will utilize your knowledge of machine learning and finance to frame and solve business problems using predictive and prescriptive analytics. You will draw on familiarity of multiple ML domains such as classification, regression, time-series forecasting, recommender systems, reinforcement learning and causal inference. You will grow in the role, keeping up to date with developments in the field of finance and machine learning. You will build analytics products by writing code that is reliable, reproduceable and maintainable

                                                                -

                                                                Communication: You will engage with business partners and asking the right questions to understand their challenges. You’ll be able to formulate and communicate solutions in an accessible way, and answer questions and concerns brought up by our partners.

                                                                -

                                                                Partnership: You will collaborate with the other members of the analytics team and bring your own perspectives to their problems and be open to suggestions on the best approaches for your own work. Together we will drive the success of the team.

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                -

                                                                Who You Are

                                                                -

                                                                You have deep quantitative knowledge, preferably with a graduate degree in computer science, engineering, statistics or other scientific or mathematical discipline, or equivalent experience.

                                                                -

                                                                You have 3 years work experience in analytical roles, including experience with data wrangling and programming skills to access, transform and prepare large datasets.

                                                                -

                                                                You also have a forward-looking, results-oriented approach to building out insights from data and analytics, and a history and track record of end-to-end responsibility for growing businesses with those insights.

                                                                -

                                                                You have extensive knowledge of:

                                                                +

                                                                You will support the delivery of analytical insights, develop and curate data assets, build dashboards and model data that will enable data driven decisions.

                                                                +

                                                                UKJERSEYWM

                                                                +

                                                                +

                                                                What will you do?

                                                                  -
                                                                • Writing complex queries in SQL and working with data warehouses

                                                                • -
                                                                • Python programming

                                                                • -
                                                                • Software development tools, IDEs and Git for version control

                                                                • -
                                                                • Knowledge of data visualization tools such as Tableau and Power BI

                                                                • +
                                                                • Develop, enhance and maintain the evolving Data Analytics data infrastructure in line with the business needs to support the overarching data strategy across the organisation

                                                                • +
                                                                • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle

                                                                • +
                                                                • Work with the business to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository

                                                                • +
                                                                • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, creating models to support investigation and analysis

                                                                • +
                                                                • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements Research, explore and understand business problems and reporting requirements to facilitate the design, development and deployment of solutions and dashboards, enabling end user self-service, incorporating drill-down functionality

                                                                • +
                                                                • Provide data driven and thought provoking insights to drive informed decision-making, transferring knowledge to stakeholders and enabling the business to use its data more effectively

                                                                • +
                                                                • Through the delivery of informative reporting solutions; support, inspire and educate end-users to use data more effectively to improve overarching data literacy across the organisation

                                                                • +
                                                                • Analyse, document and recommend improvements to existing business practices to capitalise on opportunities for automation, efficiencies and risk reduction to enhance capabilities and streamline end-to-end data related processes

                                                                • +
                                                                • Work in conjunction with Finance and Technology functions to understand the reconciliations process and flow of data across applications

                                                                • +
                                                                • Actively engage within the team and wider business areas to foster relationships and develop thought leadership Responsible for the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations

                                                                • +
                                                                • Adhere to and promote the the DevOps process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed

                                                                -

                                                                Also beneficial:

                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                Must-have

                                                                  -
                                                                • Understanding of Docker and Kubernetes

                                                                • -
                                                                • Exposure to big data frameworks (PySpark, SparkML)

                                                                • -
                                                                • Machine learning libraries (pandas, scikit-learn, xgboost)

                                                                • -
                                                                • ML/AI Frameworks (Pytorch or Tensorflow)

                                                                • -
                                                                • Exposure to financial data, especially foreign exchange data

                                                                • +
                                                                • Proven experience with MS SQL Server

                                                                • +
                                                                • Sound understanding of relational database principals, guidelines and design

                                                                • +
                                                                • Extensive SQL query development experience

                                                                • +
                                                                • Familiarity and experience with data visualisation tools

                                                                • +
                                                                • Data management specialist with ability to mine data and predictive modelling

                                                                • +
                                                                • Advanced knowledge of, and experience in manipulating large disparate data sets from multiple sources in multiple formats

                                                                -

                                                                What CIBC offers

                                                                -

                                                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                -
                                                                  -
                                                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                • -
                                                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                • -
                                                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                • -
                                                                +

                                                                Nice-to-have

                                                                +
                                                                  +
                                                                • Knowledge of Tableau

                                                                • +
                                                                • Experience with JIRA

                                                                • +
                                                                • Experience with GitHub

                                                                • +
                                                                • Knowledge of Agile project management principles

                                                                • +

                                                                +

                                                                What is in it for you?

                                                                -

                                                                What you need to know

                                                                +

                                                                We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                • -
                                                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities

                                                                • +
                                                                • Opportunities to work with the best in the field

                                                                • +
                                                                • Ability to make a difference and lasting impact

                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                • +
                                                                • Flexible working options fully supported

                                                                • +
                                                                • Hybrid Working

                                                                -

                                                                -

                                                                Job Location

                                                                Toronto-161 Bay St., 4th

                                                                Employment Type

                                                                Regular

                                                                -

                                                                Weekly Hours

                                                                37.5

                                                                Skills

                                                                -
                                                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Data-Analyst--Alternate-Solutions-Group_2305380?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-10T17:11:02.834Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/212877130-data-analyst-alternate-solutions-group-at-cibc,,expired,2023-04-06T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d6a15c31-eead-4b95-ab7d-fb8ef232f972,222295545,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-05-04T17:39:05.921Z,"
                                                                We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                                                                  • -
                                                                  • Work on different stages of the problem from prototyping to production
                                                                  • -
                                                                  • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                                                                  • -
                                                                  • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                                                                  • -
                                                                  • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                                                                  • -
                                                                  • Advocate for code and engineering process improvements across your team, and help define best practices
                                                                  • -
                                                                  • Participate in sprint planning, estimations, and reviews
                                                                  • -
                                                                  • Work with teammates to ensure high-quality deliverables
                                                                  • -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                                                                  • -
                                                                  • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                                                                  • -
                                                                  • Excellent software engineering skills in Python
                                                                  • -
                                                                  • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                                                                  • -
                                                                  • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                                                                  • -
                                                                  • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                                                                  • -
                                                                  • A constant desire to develop
                                                                  • -
                                                                  • A team player who strives to see teammates succeed together
                                                                  • -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:41:00.000Z,False,0,10,68,https://talenthub.vectorinstitute.ai/jobs/222295545-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -68fb1d9b-17fc-4bcf-840c-c87e8b79ba1a,222295547,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-05-04T17:39:05.951Z,"
                                                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                                                -

                                                                You will:

                                                                -
                                                                    -
                                                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                                                  • -
                                                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                                                  • -
                                                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                                                  • -
                                                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                                                  • -
                                                                -
                                                                -

                                                                You have:

                                                                -
                                                                    -
                                                                  • 4+ years working as a professional developer
                                                                  • -
                                                                  • 2+ years working as an engineering team manager
                                                                  • -
                                                                  • Experience hiring and building motivated engineering teams
                                                                  • -
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • -
                                                                  • Extensive experience working with NLP (including NER) and PyTorch
                                                                  • -
                                                                  • Experience with data engineering and machine learning design patterns and best practices
                                                                  • -
                                                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                                                  • -
                                                                  • Strong experience collaborating cross-functionally
                                                                  • -
                                                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                                                  • -
                                                                -
                                                                -

                                                                -

                                                                -
                                                                Benefits and Perks:
                                                                -
                                                                An engaging remote-first culture
                                                                -
                                                                A great compensation package that includes BenchSci equity options
                                                                -
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                -
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                -
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                -
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                -
                                                                A $1000 CAD* home office set-up budget
                                                                -
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                -
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                -
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                -

                                                                -
                                                                About BenchSci:
                                                                -
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                -
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                -
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                -
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                -

                                                                -
                                                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                -

                                                                -
                                                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                -

                                                                -
                                                                #LI-Remote
                                                                -
                                                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:43:41.364Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/222295547-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, -1467296c-f1a3-4cfe-9c9e-eec8fb06f132,239887327,Scotiabank,"Manager, Data Governance",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.518Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 180410

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Scotiabank is currently seeking a Manager, Data Governance to join our growing team! This role contributes to the overall success of the GBM Data Office ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. This role would also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                                                                -

                                                                -

                                                                Is this role right for you? You will be responsible for:

                                                                -

                                                                -
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program.
                                                                • Understands business requirements and aligns them to the objectives of the data management program.
                                                                • Design and document business requirements and functional requirements to support data-related initiatives for consumer data domains, including Finance, Credit Risk, Market Risk, Liquidity Risk, and other corporate functions (e.g., Compliance and Anti-Money Laundering) and their associated business areas/processes.
                                                                • Conduct root cause analysis of data quality issues raised through automated validation rules and self-identified issues raised by data stewards, data consumers, and data producers.
                                                                • Support data stewards in managing data governance and data management practices within their data domains and facilitate cross-domain initiatives and activities, as necessary.
                                                                • Monitor data quality dashboards and exception reports, performing analysis to identify trends in data quality issues, perform root-cause analysis, establish data quality themes, and determine course(s) of action, creating action plans to resolve open items.
                                                                • Supports business and regulatory initiatives driven by the Bank’s data management framework.
                                                                • Assist with Data Office Annual Attestations and training requirements.
                                                                • Prepare presentation materials for Risk working groups and committee meetings
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                • -
                                                                -

                                                                -

                                                                Do you have the skills you need to succeed? We'd love to work with you, if you have:

                                                                -

                                                                -
                                                                • Bachelor's degree
                                                                • Global Banking and Markets experience or Capital Markets experience an asset
                                                                • Demonstrate curiosity and problem-solving abilities
                                                                • Solid Data analysis ability to explore data and aware of current data analytics trends and technology
                                                                • Excellent team player, working with cross-departmental business & IT stakeholders
                                                                • Project management experience, able to drive initiatives from planning through to execution
                                                                • Knowledge of regulatory/liquidity reporting and business processes (e.g., FR 2052A, Liquidity Stress Test, Reg YY, etc.) an asset
                                                                • Knowledge of requirements gathering, design methodology, and building test cases - detail oriented, analytical, and capable of investigating complex / technical issue
                                                                • Experience in Regulations and Matters Requiring Attention an asset
                                                                • -
                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Governance-ON/571595117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:23:44.289Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/239887327-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Governance-ON/571595117/,expired,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7fc76835-e034-4468-afb0-2b6d8bc694c7,249060465,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-07-20T15:53:02.834Z,"
                                                                -

                                                                Hours

                                                                -
                                                                37.5

                                                                -

                                                                Pay Details

                                                                -

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                +

                                                                Address:

                                                                100 BISHOPSGATE:LONDON

                                                                City:

                                                                GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                                                                Country:

                                                                United Kingdom

                                                                Work hours/week:

                                                                35

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Wealth Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-02-16

                                                                Application Deadline:

                                                                2023-05-10
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000049131/Reporting-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T21:34:00.000Z,False,0,16,35,https://talenthub.vectorinstitute.ai/jobs/217073196-reporting-analytics-analyst-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +76d58785-c376-45b9-87db-f2e720d44c73,219391614,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Ottawa, ON",2023-04-27T17:24:02.326Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                Department Overview

                                                                -
                                                                -

                                                                The Business Banking Data & Analytics (BB D&A) group is responsible for stewardship of all analytics, reporting and data management requirements for Business Banking.

                                                                The group supports Business Banking product and sales teams in the areas of analytics, insights, performance measurement, business intelligence and reporting.

                                                                -

                                                                The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO) and Enterprise Data & Analytics (ED&A).

                                                                -
                                                                +

                                                                The Workforce Management (WFM) team is part of the North American Phone Channel Shared Services, providing ongoing support and leadership in the following specialty areas: Sales strategy, Customer and Employee Experience, Governance / Operating Solutions, Enterprise Workforce Management and Business Solutions. It is our high performing teams who create a passion for the customer experience and make North American Phone Channel Shared Services (NAPCSS) a great place to work. NAPCSS supports over a dozen lines of businesses, including all of the businesses in Canadian Personal Banking, Wealth, Direct Investing, TD Insurance, and US Contact Centre; driving superior solutions to enable a better Phone experience, and championing continuous improvement within the Phone network. We are supporters of a caring performance culture and leaders in great community spirit. NAPCSS offers a unique career opportunity to make an impact and build for the future. We seek individuals with a positive attitude who are driven to produce extraordinary results and would like to work in an environment that is fun, high energy, fast-paced, and collaborative.

                                                                -

                                                                Job Details

                                                                +

                                                                Job Description

                                                                -

                                                                About this Role

                                                                -

                                                                Reporting to the Manager (Data in Projects), the Senior Business Insights Analyst is responsible for the holistic identification of Business Analytics, Reporting and Data Management Requirements as part of several BB pods in Programs / Projects / BAU. They will work closely and take guidance from Business Bankers, Data Management Leads, and TS counterparts, while facilitating stakeholders in understanding the impact of business processes on the data, both net-new and existing.
                                                                The incumbent will also work together with project stakeholders to help drive several data activities, as defined by the BB Data in Projects Framework, including both the Enterprise Data Governance Office (EDGO) and Analytics capabilities as defined by Enterprise Data & Analytics (ED&A). The Senior Business Insights Analyst will help enable comprehensive analytics delivery within the project/pod, in a risk-managed approach aligned to the BB Data Strategy.

                                                                -

                                                                Accountabilities Include:

                                                                +

                                                                Reporting to the Manager, Delivery and Execution, the successful candidate will be responsible for the short-term operational support of forecasting for Service Level, FTE supply, expenses and efficiency for all Contact Center groups that fall within the North American Contact Center (NACC). In partnership with the Centers and Business Unit stakeholders, this role advises on high impact solutions / recommendations and strategies to close identified gaps in business performance while building strong capabilities that can be leveraged across the enterprise. This is a highly visible role and the candidate will have exceptional communication and relationship management skills, enabling seamless interactions with a broad range of stakeholders across the bank at varying levels of seniority.

                                                                +

                                                                PRIMARY RESPONSIBILITIES:

                                                                  -
                                                                • Responsible for 2-way scoping of Business Analytics, Reporting and Data Management Requirements for several BB projects / programs and Pods.
                                                                • -
                                                                • Facilitate a breakdown of business analytics requirements including to identify reporting needs both for implementation in both operational data stores as well as analytical platforms (i.e. Akora)
                                                                • -
                                                                • Collaborate across BB D&A Pillars to ensure appropriate development, business acceptance testing, rollout and transition to Day 2
                                                                • -
                                                                • Understand data structures being modified and created across the projects and conduct lineage / reverse-engineering to understanding impacts to existing BB D&A Artefacts (i.e. Reporting, Analytics)
                                                                • -
                                                                • Collaborate with project team to verify business data test cases scenarios covers data quality meeting data requirements; create new test cases if required. High level verification of the quality data in lower environments.
                                                                • -
                                                                • Ensure decisions and solutions are aligned with the BB Data in Projects Framework and the larger BB Data Strategy
                                                                • -
                                                                • Identify opportunities for process improvement and automation both across the entire data architecture, as well as within the project and the overall DIP Team
                                                                • -
                                                                • Conduct knowledge transfer with the project teams and with D&A Teams
                                                                • -
                                                                • Support the project team in quantifying the benefits to the Business bank through leveraging data
                                                                • -
                                                                • Facilitate and document current data state and future data target states to ensure effects of data are understood and communicated across all project stakeholders
                                                                • -
                                                                • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;
                                                                • -
                                                                • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;
                                                                • -
                                                                • Develop new standards for Data documentation for use by projects, and communicate these to both D&A, Business and Technology Stakeholders
                                                                • -
                                                                • Participate fully as a member of the Business Bank’s Data & Analytics team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                                • -
                                                                • Contribute to a fair, positive and equitable environment that supports a diverse workforce
                                                                • +
                                                                • Deliver operational support to forecasting CoE Workforce Management activities, support long term demand/ capacity planning to accurately forecast business outlook across NACC
                                                                • +
                                                                • Partner with business stake holders and operations to provide support in sizing impacts of initiatives and provide recommendations for efficient solutions to deliver best in class customer experience.
                                                                • +
                                                                • Develop proposals and recommendations for that identify and profile high impact, forward looking strategies, along with action plans to maximize productivity and efficiencies
                                                                • +
                                                                • Execute on ad-hoc reporting for pre/post live day to provide detailed insights on business performance that is summarized in an easily understood output for all levels of leadership and understanding of workforce metrics
                                                                -
                                                                -

                                                                -

                                                                Job Requirements

                                                                -
                                                                -What can you bring to TD?
                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -
                                                                • Seasoned Business Analyst leader with proven ability to assess, facilitate and ensure deliver holistic analytics, reporting and data management activities, on time and on budget, aligned to business needs
                                                                • -
                                                                • Experience leading data related initiatives with specific emphasis on data retention and disposition expertise considered an asset;
                                                                • -
                                                                • Strategic mindset with the ability to understand implications of key decisions on policies, down-stream processes, etc.;
                                                                • -
                                                                • Knowledge of Business Bank data and systems considered an asset;
                                                                • -
                                                                • Knowledge of platform and data warehouse design and principles is considered an asset
                                                                • -
                                                                • Knowledge and experience in Agile projects, Jira and confluence tools is considered an asset
                                                                • -
                                                                • Knowledge of Cloudera Hadoop, MS Azure, SAS and OCDO Data Management Capabilities are considered an asset
                                                                • -
                                                                • Experience in working on data integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                                • -
                                                                • Hands-on experience working with SQL language to carry-on daily data profiling and data quality is considered an asset
                                                                • -
                                                                • Hand-on experience working with Microsoft tools like MS Visio and MS PowerPoint
                                                                • -
                                                                • Excellent relationship management skills;
                                                                • -
                                                                • Excellent oral and written communication and presentation skills;
                                                                • -
                                                                • Strong organizational awareness;
                                                                • -
                                                                • Strong attention to detail and well-organized to manage large amounts of information and details
                                                                • -
                                                                • Superior negotiation and creative problem-solving skills
                                                                • +
                                                                • Lead/support weekly interactions with the senior leadership teams for the businesses we support in NACC
                                                                • +
                                                                • Demonstrate resiliency under pressure
                                                                • +
                                                                +

                                                                KEY RELATIONSHIPS:

                                                                +
                                                                  +
                                                                • Reports to Manager, Forecasting
                                                                • +
                                                                • All WFM COEs (Scheduling, Demand/Capacity forecasting, Intake Analysts, and Business Partners)
                                                                • +
                                                                • Daily working relationships with all level of TDBG

                                                                -

                                                                Additional Information

                                                                -
                                                                #LI-Hybrid
                                                                +

                                                                Requirements

                                                                +
                                                                  +
                                                                • Minimum 3-5 years’ experience in a Contact Center environment
                                                                • +
                                                                • Hands-on experience and knowledge of Workforce Management systems & process is recommended
                                                                • +
                                                                • Strong communication skills with an ability to present concepts and research to senior audiences with clarity and confidence
                                                                • +
                                                                • Strong organizational skills with a proven ability to multitask
                                                                • +
                                                                • Exceptional analytical skills with specific attention to detail
                                                                • +
                                                                • Driven to continual improvement of processes and working environment
                                                                • +
                                                                • Proficient with MS Office Suite
                                                                • +
                                                                • Ability to quickly learn new technology/software/systems
                                                                • +
                                                                • Enjoys working in an agile, fast pace and collaborative environment
                                                                • +

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we're guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they're more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                +

                                                                Additional Information

                                                                +
                                                                +EDUCATION & WORK EXPERIENCE:

                                                                +
                                                                  +
                                                                • A post-secondary degree in business, economics, data sciences, or other related fields of study
                                                                • +
                                                                • 3-5 years of experience in workforce management, planning and/or data management analytics
                                                                • +
                                                                • Experience with database management and/or visualization software such as Tableau, Power BI, MS SQL, PHP, Python, R etc. is an asset and recommended
                                                                • +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We're Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -
                                                                +

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-27T20:11:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/249060465-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,expired,2023-07-20T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -f22bfc3a-50ad-4680-9f40-41511331474d,249139910,RBC,"Director, Enterprise Model Risk Management",on_site,"Toronto, ON, Canada",2023-07-21T01:51:01.830Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Director, Enterprise Model Risk Management

                                                                -

                                                                -

                                                                Job Description

                                                                -

                                                                What is the opportunity?

                                                                -

                                                                As Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will lead and execute the validation of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale credit risk systems including validation of Wholesale criteria paper models and replication to ensure integrity of ratings used for Basel compliance, capital accuracy, risk management, credit provisioning, and stress testing processes. You will develop and implement tools and methodologies required to underpin credit risk systems validation, and provide insightful robust analyses of credit risk systems validation.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Ensure efficient coordination and execution of Wholesale credit risk systems model validation processes and provide insightful and robust analyses of validation results
                                                                • -
                                                                • Ensure execution and documentation of appropriate qualitative and quantitative tests relating to Wholesale criteria papers, including review of logic and conceptual soundness of Wholesale criteria paper models and their inputs, accuracy, sensitivity, backtesting, benchmarking and analysis of the use of the criteria paper models
                                                                • -
                                                                • Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate
                                                                • -
                                                                • Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders
                                                                • -
                                                                • Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards
                                                                • -
                                                                • Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes
                                                                • -
                                                                • Lead a high performing team and provide focus and clarity in establishing individual goals, driving performance management, supporting career development and rewarding strong performance
                                                                • -
                                                                • Complete ad hoc analytical or empirical projects
                                                                • -
                                                                -

                                                                -

                                                                What do you need to succeed?

                                                                -

                                                                Must-Have

                                                                -
                                                                  -
                                                                • 7+ years of analytical and quantitative experience with a financial institution, in a related role such as a risk manager, a model developer/validator or data miner/analyst
                                                                • -
                                                                • Strong familiarity with design, development, and/or application of credit risk rating methodologies
                                                                • -
                                                                • Graduate degree in a quantitative discipline such as computer science/information system, statistics, econometrics and/or a relevant professional qualification
                                                                • -
                                                                • Understand various data systems (e.g. Newton/CNB Newton, CCMS, CMS, Probe, Axiom, EBR, ESN, WCRD etc.) structures/processes and how they affect inputs and outputs of credit risk modelling/validation data
                                                                • -
                                                                • Strong interpersonal and teamwork skills
                                                                • -
                                                                • Strong conceptual, analytical, detailed oriented and problem solving skills
                                                                • -
                                                                • Strong computer skills (SQL, Python and Microsoft Office Suite required; SAS strongly preferred)
                                                                • -
                                                                • Execute with urgency while maintaining quality and efficiency
                                                                • -
                                                                • Adapt to shifting priorities, coupled with a sense of urgency
                                                                • -
                                                                -

                                                                Nice-to-Have

                                                                -
                                                                  -
                                                                • CFA, CPA, or FRM designations
                                                                • -
                                                                • Ability to communicate, verbally and in writing, complex concepts to a non-technical audience
                                                                • -
                                                                • Exposure to credit risk system design and Basel parameter estimation is an asset
                                                                • -
                                                                • Ability to work in Unix, Teradata Data Warehouse and/or Data Lake environments
                                                                • -
                                                                • Ability to work with numerous data and IT infrastructures
                                                                • -
                                                                • Proactive learning and working skills
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
                                                                • -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Flexible work/life balance options
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work
                                                                • -
                                                                -

                                                                -

                                                                -

                                                                Job Summary

                                                                Directs and coordinates risk management projects such as regulatory reviews, inspections, audits, etc. within the department. Manages activities through senior managers and managers and implements corporate and divisional strategic plans and budgets.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-17

                                                                Application Deadline:

                                                                2023-08-29
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000053535/Director-Enterprise-Model-Risk-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-23T17:18:09.996Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/249139910-director-enterprise-model-risk-management-at-rbc,,expired,2023-07-21T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -1ee85f23-8375-45a4-9140-cc6ba147a86a,260749010,Scotiabank,"Manager, Business Analyst, Models - Retail and Small Business",on_site,Canada : Ontario : Toronto,2023-08-17T15:52:01.965Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 182871

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Overview

                                                                -

                                                                The world is changing faster than ever and so are we!

                                                                -

                                                                -

                                                                Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                                                                -

                                                                -

                                                                Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:

                                                                -

                                                                You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec’ing out how our modeling and technology teams should use what you discovered.

                                                                -

                                                                -

                                                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                                -

                                                                -

                                                                What Are We Looking For?

                                                                -

                                                                -

                                                                We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational and technical processes into business rules and data flows, and working collaboratively with a diverse range of stakeholders to develop scalable solutions in the interest of improving our automated forecasting models and capital allocation.

                                                                -

                                                                -

                                                                We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                                                                -

                                                                -

                                                                The ideal candidate will be a consummate team player who is equally comfortable being a:

                                                                -
                                                                • Business Analyst / Business Consultant / Financial Analyst
                                                                • Data Analyst
                                                                • Software Architect
                                                                • Process Engineer
                                                                • -
                                                                -

                                                                Make an Impact

                                                                -

                                                                As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Project Management Office, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                                                                -

                                                                -

                                                                You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:

                                                                -
                                                                • Plan and manage initiatives,
                                                                • Map and / or re-engineer key processes, data flows and / or business rules
                                                                • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                                                                • -
                                                                -

                                                                -

                                                                Potential deliverables / outcomes may include (but not be limited to):

                                                                -
                                                                • Business, implementation and project plans that get executed to completion
                                                                • Business rules, financial formulae and algorithms
                                                                • Newly generated and retrofitted automated reporting
                                                                • Improved operational efficiency and effectiveness
                                                                • Quantitative analysis to support ongoing decision-making
                                                                • Recommendations of what else “we should look into / fix” next
                                                                • +
                                                                ",,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-08T20:33:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219391614-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ca2a06e3-f444-49cb-9fad-4f03fc770a4a,220633258,Clearpath,Robot Platform Software Developer/Engineer,on_site,"Ontario, Canada",2023-04-30T17:42:03.020Z,"

                                                                Description

                                                                +

                                                                Position: Robot Platform Software Developer/Engineer
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 3+ years
                                                                Education: Bachelor\'s degree in Mechatronics, Systems, Electrical Engineering, or a related field
                                                                Division: OTTO Motors

                                                                +

                                                                About OTTO™ Motors (Division of Clearpath Robotics)

                                                                +

                                                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                                +

                                                                +

                                                                About the Job

                                                                +

                                                                The Platform team is responsible for integrating the Hardware and Software of OTTO Mobile Autonomous Robot platforms. You are a true Mechatronics engineer, with a focus primarily on the software side of things including bare metal firmware, device drivers for external components, and application layer components. You will lead in developing the software components to make our robots function, and easily diagnose issues. You will exemplify a proper Software Development Life Cycle from beginning to end and contribute to every aspect of it. Your code will ultimately run on the robots and control mission-critical functionality such as battery management, sensor drivers or motor command output. Any failure could have catastrophic consequences.

                                                                +

                                                                You will be involved with the initial proof of concept and bring-up of new robot hardware platforms, integrating the hardware with the autonomous software. You will be responsible for the controls system architecture and design of new and existing industrial self-driving vehicles. Design challenges will span from high-level system architecture, integration, programming, and field testing. You have no problem deducing hardware issues from software logs. You will need to be aware of functional safety implications in an industrial environment, and how to implement and verify safety functions.

                                                                +

                                                                +

                                                                Your primary responsibilities will be:

                                                                +
                                                                  +
                                                                • Architect, design and implement custom software, ranging from low-level robot control firmware, PC drivers for external controllers, and enhanced interactive diagnostics using C/C++ and Python
                                                                • +
                                                                • Prototyping and Bring-up of new Mechatronic platforms
                                                                • +
                                                                • Integrating complex electronics and control systems with Autonomous Software
                                                                • +
                                                                • Documentation of system-level architectures, and contributing to knowledge bases for triaging and debugging complex issues
                                                                • +
                                                                • Coordination of feature requirements between Software, Hardware, and Production teams
                                                                • +
                                                                • Providing expert level debugging of our robots to support Client Success, Field Services, and internal Test and Manufacturing teams
                                                                -

                                                                Is This Role Right for You?

                                                                -
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You are comfortable with data, analytic / technical and business processes
                                                                • You relish ambitious but realistic goals and are committed to achieving them
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                                                • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                                                                • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                                                                • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                                                                • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • +

                                                                  +

                                                                  Required Skills:

                                                                  +
                                                                    +
                                                                  • Bachelor\'s degree in Mechatronics Engineering, Systems Engineering, Electrical Engineering, or a related field with applicable background
                                                                  • +
                                                                  • 3+ years of experience working with C++ and/or Python
                                                                  • +
                                                                  • Experience writing robust, efficient, high performance code
                                                                  • +
                                                                  • Strong electronics and mechatronics prototyping and debugging skills (breadboarding, oscilloscopes, multimeters)
                                                                  • +
                                                                  • Experience of hands-on troubleshooting of electronic and electromechanical systems
                                                                  • +
                                                                  • Understanding of sensors and actuators and their error modes, especially motor controllers
                                                                  • +
                                                                  • Able to perform root-cause analysis of hardware and software issues from data logs
                                                                  • +
                                                                  • Familiarity with Linux (Debian based distributions)
                                                                  • +
                                                                  • Excellent teamwork and communication skills
                                                                  • +
                                                                  • Ability to independently develop software development plans, including timelines and test procedures
                                                                  • +
                                                                  • Past experience participating in development or deployment projects that have gone terribly wrong
                                                                  -

                                                                  -

                                                                  What Do You Need to Succeed?

                                                                  -

                                                                  General

                                                                  -
                                                                  • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                                                                  • A demonstrated history of problem solving, technology implementation and sound judgement
                                                                  • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                                                                  • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                                                                  • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                  • +

                                                                    +

                                                                    Bonus Skills:

                                                                    +
                                                                      +
                                                                    • Knowledge of different approaches to the Software Development Lifecycle, especially the V-model
                                                                    • +
                                                                    • IT experience in networking, OS configuration and troubleshooting, drivers
                                                                    • +
                                                                    • Experience working with different field buses, especially CAN and Ethernet-based
                                                                    • +
                                                                    • Experience with industrial electrical design and troubleshooting
                                                                    • +
                                                                    • Working knowledge of aspects of mobile robotics such as perception, planning, controls, and navigation
                                                                    • +
                                                                    • Familiarity with industrial material handling vehicles, such as AGVs, AMRs, SDVs, forklifts, tuggers etc.
                                                                    • +
                                                                    • Experience with ROS (Robot Operating System)
                                                                    • +
                                                                    • Familiarity with software version control and CI/CD tools, such as Git, Jenkins and Gitlab
                                                                    • +
                                                                    • P.Eng Accreditation attained or in-progress
                                                                    -

                                                                    -

                                                                    Technical

                                                                    -
                                                                    • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                                                                    • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                                                                    • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
                                                                    • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                                                                    • +

                                                                      At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/odNRmfwX,feed-importer@jobboard.io,,,,2023-05-08T20:36:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/220633258-robot-platform-software-developer-engineer-at-clearpath,,expired,2023-04-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +d4697103-44a7-4893-a7e6-6d4974b1c66a,236958270,Vector Institute,AI Project Management Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.426Z,"

                                                                AI Project Management Intern

                                                                +

                                                                POSITION OVERVIEW

                                                                +

                                                                The AI Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute, the objectives of which are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation work stream are met.

                                                                +

                                                                Start date: September 11, 2023

                                                                +

                                                                End date: December 22, 2023

                                                                +


                                                                +

                                                                APPLIED INTERNSHIPS AT VECTOR

                                                                +

                                                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                +


                                                                +

                                                                KEY RESPONSIBILITIES

                                                                +
                                                                  +
                                                                • Assist in the design, development, and management of AI Projects for Industry, creating and updating project plans, supporting the identification of interesting use-cases, contributing to sort-out logistic challenges, and work on a range of project deliverables (e.g., business cases, executive roadmaps, etc);
                                                                • +
                                                                • Facilitate discussions on the applications of AI techniques and identification of potential contributors in the broader ecosystem;
                                                                • +
                                                                • Support project support functions such as coordinating meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), preparing minutes, tracking action items and following up with meeting participants;
                                                                • +
                                                                • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, writing reports and other pieces to distribute knowledge;
                                                                • +
                                                                • Perform quantitative and qualitative analysis; and,
                                                                • +
                                                                • Other duties as assigned.
                                                                -

                                                                Nice to Have’s

                                                                -

                                                                General

                                                                -
                                                                • Proficient reading, writing and speaking Spanish
                                                                • Domain expertise with retail & small business banking products and / or risk management practices
                                                                • Familiarity with credit risk models / scorecards
                                                                • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                                                                • +

                                                                  PROFILE OF THE IDEAL CANDIDATE

                                                                  +
                                                                    +
                                                                  • You are a student or postdoctoral fellow studying at a Canadian post-secondary institute (university or college) or a recent graduate (within 1 semester of graduation).

                                                                  • +
                                                                  • You are motivated to apply machine learning techniques to real-world problems.

                                                                  • +
                                                                  • You have experience developing, refining, and deploying machine learning models to problems outside of the research/academic sector; experience in project management considered an asset.

                                                                  • +
                                                                  • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link sensitive data, privacy concerns, challenges associated with unstructured or unlabelled data).

                                                                  • +
                                                                  • You are a good communicator who is interested in helping non-technical professionals to understand machine learning and other AI techniques.

                                                                  • +
                                                                  • You are organized and efficient, with strong problem-solving skills.

                                                                  • +
                                                                  • You are creative, resourceful and with a strong intellectual curiosity, and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                  • +
                                                                  • You possess a positive attitude, integrity, a sense of humor, and bring a positive energy and outlook to a not-for-profit corporate culture.

                                                                  • +
                                                                  • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                                                                  • +
                                                                  • Your familiarity with GSuite and/or MS Office 365 applications would be an asset.

                                                                  -

                                                                  -

                                                                  Technical

                                                                  -
                                                                  • An understanding of statistical prediction, estimation and forecasting models
                                                                  • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                                                                  • An appreciation for advanced statistical approaches used to assess and address uncertainty
                                                                  • +


                                                                    +

                                                                    Compensation: $25/hour.

                                                                    +


                                                                    +

                                                                    If you have any questions, please contact internships@vectorinstitute.ai.

                                                                    +


                                                                    +

                                                                    Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                    +

                                                                    At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                    +

                                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448361&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/236958270-ai-project-management-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +2ec90c25-5381-4573-8178-e4bd5aa50f7b,228136419,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:02.513Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 178348

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Overview:

                                                                +


                                                                The world is changing faster than ever and so are we!

                                                                +

                                                                +

                                                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                                                +

                                                                +

                                                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                                                +

                                                                +

                                                                What Are We Looking For?

                                                                +


                                                                We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

                                                                +

                                                                +

                                                                To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

                                                                +


                                                                Make an Impact

                                                                +

                                                                As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                                                +

                                                                +

                                                                Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

                                                                +

                                                                +

                                                                Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

                                                                +

                                                                +

                                                                Is This Role Right for You?

                                                                +
                                                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                • You are both deeply curious and highly pragmatic
                                                                • You know when to be doer, when to be a teacher and when to be a leader
                                                                • You are comfortable setting ambitious but realistic goals and are committed to achieving them
                                                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                                                • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
                                                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                                                • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
                                                                • You are committed to quality in everything you do – statistically, process and governance wise
                                                                • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
                                                                • You are professional, motivated AND FUN. We mean it.
                                                                • +
                                                                +

                                                                +

                                                                What Do You Need to Succeed?

                                                                +


                                                                General

                                                                +
                                                                • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
                                                                • A demonstrated history of analytic problem solving and sound judgment
                                                                • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
                                                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
                                                                • Excellent project, process & time management
                                                                • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
                                                                • +
                                                                +

                                                                ​​​​​​​

                                                                +

                                                                Technical

                                                                +
                                                                • Strong fundamental understanding of statistics
                                                                • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
                                                                • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                • +
                                                                +

                                                                +

                                                                Nice to Have’s

                                                                +
                                                                • Proficient reading, writing and speaking Spanish
                                                                • MBA or other business / management degree
                                                                • FRM, CFA credentials
                                                                • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
                                                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                                                • Experience with public cloud infrastructure (GCP, Azure, AWS)
                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
                                                                • +
                                                                +

                                                                +

                                                                What’s In It for You?

                                                                +
                                                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:53:01.322Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228136419-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +33efc8c5-4627-45f3-b6fc-11cb5b655d57,235578626,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.676Z,"

                                                                Minimum qualifications:

                                                                +
                                                                  +
                                                                • Currently enrolled in a Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  +
                                                                • +
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  +
                                                                -

                                                                -

                                                                What’s in It for You?

                                                                -
                                                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                                                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                • +

                                                                  Preferred qualifications:

                                                                  +
                                                                    +
                                                                  • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                  • +
                                                                  • Currently attending a degree program in Canada.
                                                                  • +
                                                                  • Experience as a researcher, including internships, full-time, or at a lab.
                                                                  • +
                                                                  • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                    +
                                                                  • +
                                                                  • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                    +
                                                                  • +
                                                                  • Ability to speak and write in English fluently.
                                                                  -

                                                                  You’ll have fun. We do.

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-ON-M5H1H1/573122617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-24T16:27:03.857Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/260749010-manager-business-analyst-models-retail-and-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-ON-M5H1H1/573122617/,expired,2023-08-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -31ef2877-ebb0-4c5c-8bfa-833cc76e0a98,265418913,TD Bank Group,"Senior Advisor, Business Insights",on_site,"Toronto, ON",2023-08-31T16:23:03.025Z,"
                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                About the job

                                                                +

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                +

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                                                                +

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                                                                +

                                                                Responsibilities

                                                                +
                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,24,101,https://talenthub.vectorinstitute.ai/jobs/235578626-student-researcher-ms-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +9b1984da-08a5-45d2-b82f-1e5c9fee2aa1,232594927,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-06-04T16:04:02.451Z,"
                                                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                                                +
                                                                +

                                                                You will:

                                                                +
                                                                    +
                                                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                                                  • +
                                                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                                                  • +
                                                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                                                  • +
                                                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                You have:

                                                                +
                                                                    +
                                                                  • 4+ years working as a professional developer
                                                                  • +
                                                                  • 2+ years working as an engineering team manager
                                                                  • +
                                                                  • Experience hiring and building motivated engineering teams
                                                                  • +
                                                                  • Strong experience with Python and programming fundamentals
                                                                  • +
                                                                  • Extensive experience working with NLP (including NER) and PyTorch
                                                                  • +
                                                                  • Experience with data engineering and machine learning design patterns and best practices
                                                                  • +
                                                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                                                  • +
                                                                  • Strong experience collaborating cross-functionally
                                                                  • +
                                                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                                                  • +
                                                                +
                                                                +
                                                                +

                                                                +

                                                                +
                                                                Benefits and Perks:
                                                                +
                                                                An engaging remote-first culture
                                                                +
                                                                A great compensation package that includes BenchSci equity options
                                                                +
                                                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                +
                                                                Unlimited flex time for sick days, personal days, religious holidays
                                                                +
                                                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                +
                                                                A $2000 CAD* Annual Learning & Development budget
                                                                +
                                                                A $1000 CAD* home office set-up budget
                                                                +
                                                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                +
                                                                Generous parental leave benefits with a top-up plan or paid time off options
                                                                +
                                                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                +

                                                                +
                                                                About BenchSci:
                                                                +
                                                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                +
                                                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                +

                                                                +
                                                                Our Culture:
                                                                +
                                                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                +
                                                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                +
                                                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                +

                                                                +
                                                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                +

                                                                +
                                                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                +

                                                                +
                                                                #LI-Remote
                                                                +
                                                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-05T19:46:57.497Z,False,0,2,56,https://talenthub.vectorinstitute.ai/jobs/232594927-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, +43e498ae-0cc1-4904-bd32-5eba3594fa11,283724087,RBC,Client Intelligence - Associate,on_site,"Toronto, ON, Canada",2023-10-26T12:21:02.287Z,"
                                                                +

                                                                Job Summary

                                                                +

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                What is the opportunity?

                                                                -

                                                                Workplace Model

                                                                -
                                                                Hybrid
                                                                +

                                                                The Capital Markets Client Intelligence team is responsible for producing forward-looking analytics that enable RBC’s Capital Markets businesses to make informed decisions. The CI team leverages internal and external benchmarking data and client feedback to deliver client insights and highlight revenue generating opportunities to the Sales & Trading and Corporate & Investment Banking divisions in support of the firm’s key strategic initiatives. In addition to delivering best-in-class analytics and data visualizations, the team partners closely with technology to enhance client analytics tools and CRM used by the front office.

                                                                -

                                                                Pay Details

                                                                -

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Leverage various data sources (internal metrics, benchmarking data, client feedback, CRM) to produce data visualizations in Tableau that highlight actionable client insights in support of strategic business initiatives
                                                                • +
                                                                • Coordinate the annual sales & client planning process and track monthly revenue forecasting and Sales KPIs
                                                                • +
                                                                • Partner with Sales and Sales Business Management in the development and design of business KPIs and Tableau dashboards
                                                                • +
                                                                • Coordinate client benchmarking efforts with external vendors including delivery of findings to the business
                                                                • +
                                                                • Lead integration of benchmarking data to produce actionable client insights
                                                                • +
                                                                • Support the Sales platform by leveraging client data and coordinating strategic initiatives to increase revenue and deepen relationships
                                                                • +
                                                                • Support Senior Relationship Management in the internal account review process to identify action plans to improve client rankings and increase revenues
                                                                • +
                                                                • Provide senior leadership client briefs and opportunity analysis ahead of client meetings
                                                                • +

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                -

                                                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                -
                                                                +

                                                                What do you need to succeed?

                                                                -

                                                                Job Details

                                                                -
                                                                -

                                                                -

                                                                About this Role

                                                                -

                                                                With your wealth of experience with data and insights, you’ll act as a top advisor to your business partners and contacts across TD. Your goal? Work positively and professionally with your partners to inspire world-class, comprehensive analytical support. As a subject matter expert on the subject, TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value. Finally, you own your space and are at the top of your game when it comes to relationship building, which will be key in your partnerships across the organization.

                                                                -

                                                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                -

                                                                -

                                                                As a Senior Advisor, Business Insights, you will:

                                                                +

                                                                Must-have:

                                                                  -
                                                                • Work closely with business partners to gain deep understanding of the business and relevant objectives in order help drive the strategic direction of respective business and/or the enterprise
                                                                • -
                                                                • Formulate relevant data analysis through comprehensive profiling tools, segmentation, as well as using advanced modeling and analytics
                                                                • -
                                                                • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help drive business growth or address business/enterprise needs
                                                                • -
                                                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                • -
                                                                • Generally accountable for a significant business or area that has cross business or enterprise wide impact or accountability
                                                                • -
                                                                • Enterprise domain/ functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                • -
                                                                • Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
                                                                • -
                                                                • Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner
                                                                • -
                                                                • Act as the primary contact with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
                                                                • -
                                                                • Apply positive relationship management efforts to constructively influence and inspire working partners where appropriate
                                                                • -
                                                                • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
                                                                • -
                                                                • Raise data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
                                                                • -
                                                                • Provides day-to-day support and delivery of analytics
                                                                • -
                                                                • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
                                                                • -
                                                                • Enhance analytics capability by developing a “best-in-class” analytics team that delivers meaningful insights that drive measurable business value. Help make analytics a competitive advantage for TD.
                                                                • -
                                                                • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                                                • -
                                                                • Navigate complex organizational boundaries, stakeholder management, develop, manage and deliver on project/program plans
                                                                • +
                                                                • Advanced proficiency in Tableau and Excel (pivot tables, formulas, charts & graphs)
                                                                • +
                                                                • Passion for data visualization and demonstrated ability to organize large amounts of data and effectively present metrics and analysis
                                                                • +
                                                                • Positive attitude and collaborative work approach
                                                                • +
                                                                • Ability to multi-task and manage multiple initiatives and competing priorities
                                                                • +
                                                                • Strong stakeholder management skills and ability to work in fast-paced environment
                                                                • +
                                                                • Strong written & verbal communication skills; ability to communicate confidently
                                                                • +
                                                                • Influencing skills; ability to build relationships with key internal stakeholders and partners
                                                                • +
                                                                • Self-starter, ability to progress and deliver initiatives with little direction / oversight
                                                                • +
                                                                • Ambitious & driven; doesn’t settle for status quo and consistently looks for ways to improve
                                                                • +
                                                                • Bachelor’s degree or higher; at least 2 years of work experience in data visualization and analytics
                                                                • +
                                                                +

                                                                +

                                                                Nice to have:

                                                                +
                                                                  +
                                                                • Capital Markets experience, knowledge of Global Markets products (Fixed Income, FX, Commodities, Futures and Equities) or Corporate & Investment Banking businesses
                                                                • +
                                                                • Experience with client provided ranking and feedback such as scorecards and broker votes
                                                                • +
                                                                • Experience working in a trading floor environment
                                                                • +
                                                                • Ability to effectively communicate to senior management in a concise manner
                                                                • +
                                                                • Strong presentation skills, ability to effectively convey messaging
                                                                • +
                                                                • Ability to synthesize large amounts of information to key takeaways and themes for senior management
                                                                • +
                                                                • Experience in supporting senior leadership teams
                                                                • +
                                                                +
                                                                • Proficiency in SQL, Python and / or Alteryx
                                                                +

                                                                +

                                                                ​​​​​​​What’s in it for you?

                                                                +
                                                                  +
                                                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Opportunities to do challenging work and take on greater responsibilities
                                                                • +
                                                                • Access to leaders who support your development through coaching and mentoring opportunities
                                                                • +
                                                                • Work in a dynamic, collaborative, innovative, and high-performing team
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                -

                                                                -

                                                                Job Requirements

                                                                -
                                                                -What can you bring to TD?
                                                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:
                                                                Ideal candidate will possess a broad depth of experience as a technologist in the data analytics space, with years of experience focusing on financial crimes.

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                • Experience in data analysis using programming languages such as Python, SQL, R, SAS or equivalent.
                                                                • -
                                                                • Experience with statistical analysis and modelling.
                                                                • -
                                                                • Strong analytical, problem-solving, and communication skills.
                                                                • -
                                                                • Ability to communicate and explain analytical results.
                                                                • -
                                                                • Ability to work independently and collaboratively in a fast-paced environment.
                                                                • -
                                                                • Proficiency in cloud computing and big data platforms, such as AWS, Azure, Spark, or Hadoop.
                                                                • -
                                                                • Knowledge of visualization techniques, using software such as Excel, Tableau, Power BI.
                                                                • +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • +
                                                                • Ability to make a difference and lasting impact
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • +
                                                                • Opportunities to do challenging work
                                                                • +
                                                                • Opportunities to building close relationships with clients
                                                                -

                                                                Preferred candidate will posses one or more certifications within a financial crimes and accounting concentration:

                                                                +

                                                                +

                                                                The good-faith expected salary range for the above position is $100,000- $155,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                                                                +

                                                                +

                                                                RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                                                                  -
                                                                • CAMS – Certified Ani-Money Laundering Specialist
                                                                • -
                                                                • CFCS – Certified Financial Crime Specialist
                                                                • -
                                                                • CFE – Certified Fraud Examiner
                                                                • -
                                                                • CIA – Certified Internal Auditor
                                                                • -
                                                                • CPA – Chartered Professional Accountant
                                                                • +
                                                                • Drives RBC’s high performance culture
                                                                • +
                                                                • Enables collective achievement of our strategic goals
                                                                • +
                                                                • Generates sustainable shareholder returns and above market shareholder value
                                                                -
                                                                +

                                                                +

                                                                +

                                                                Job Skills

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Additional Job Details

                                                                +

                                                                Address:

                                                                BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK

                                                                City:

                                                                New York

                                                                Country:

                                                                United States of America

                                                                Work hours/week:

                                                                40

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Capital Markets

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-09-12

                                                                Application Deadline:

                                                                2023-10-18

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                -

                                                                -

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/18990235/senior-advisor-business-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-30T18:39:08.683Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/265418913-senior-advisor-business-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18990235/senior-advisor-business-insights-toronto-ca/,expired,2023-08-31T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -b055dd06-4443-4ff9-9f09-e7648e88d2dd,265418794,Scotiabank,"Senior Manager, Data Ethics Governance and Operations",on_site,Canada : Ontario : Toronto,2023-08-31T16:22:02.390Z,"

                                                                -

                                                                +

                                                                +
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                +

                                                                +

                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000066740/Client-Intelligence-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-30T21:06:00.000Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/283724087-client-intelligence-associate-at-rbc,,expired,2023-10-26T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e1444bb7-b3a1-4a96-a84b-6991597c085a,277326467,TELUS,BI Platforms Administrator,on_site,"Ontario, Canada",2023-10-06T12:30:01.856Z,"
                                                                +
                                                                +

                                                                Description

                                                                +

                                                                +

                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                Requisition ID: 183978

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights-driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high-quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                                                                -

                                                                Purpose:

                                                                -


                                                                The Customer Insights Data and Analytics (CID&A) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well-governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.
                                                                The role of the Senior Manager, Data Ethics Governance and Operations will be responsible for:

                                                                +

                                                                We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                                                                +

                                                                We are searching for a talented candidate to join our team in the role of BI Platforms Administrator. Reporting to the Manager – Analytics and Business Intelligence Platforms, the successful candidate will be responsible for administering and managing a number of BI Platforms and supporting teams to achieve their visualization, BI, and reporting use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, improved speed to market, and automation.

                                                                -
                                                                • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
                                                                • Leading definition and implementation of industry leading data ethics practices and processes
                                                                • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
                                                                • Setting up the day-to-day operations of the team (e.g., reporting, metric/KPI/Audit tracking,).
                                                                • -
                                                                -


                                                                We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design and develop the processes for the ethical use of data.

                                                                +

                                                                The successful candidate will work closely with IT and Business groups to achieve business objectives while maintaining reliable and highly efficient BI systems.

                                                                -

                                                                Accountabilities:

                                                                +

                                                                What you’ll do

                                                                -
                                                                • Implement the operating model including standards, guidelines, and frameworks to enable ethical data use
                                                                • Work closely with representatives across the bank to ensure activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                • Works in cross-functional teams, providing guidance on data ethics standards and guideline
                                                                • Participate in discussions focused on design and implementation of best practices and tools to support Data Ethics processes
                                                                • Oversee the review process for: Data Ethics assessments (to provide ethical guidance for analytics, including AI and ML) and Sensitive Data reviews (to determine the level of protection required for data that is moving within the bank, including in cloud technology)
                                                                • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
                                                                • Review the business stakeholders’ implementation of the data ethics framework for quality assurance and compliance
                                                                • Ensure remediation and closure of audit issues within the stipulated deadline
                                                                • Builds strategic relationships across the organization with counterparts in Risk, Compliance, Legal and other control functions to ensure consistency and alignment on best practices across the organization
                                                                • Participate in planning and retrospective sessions, attend stand-ups, etc. – we work in an agile environment
                                                                • Stay abreast of emerging ethical trends and ensure activities are always delivered with a best practice and innovation approach, reflecting appropriate technological developments for competitive business position
                                                                • Lead a high-performance team – this is a people manager role
                                                                • +
                                                                    +
                                                                  • Accountable for the support and availability of BI platforms and tools (e.g. Tableau)
                                                                  • +
                                                                  • Responsible for overall management of systems including installation, configuration, connectivity, patching, compliance, and automation opportunities
                                                                  • +
                                                                  • Provide oversight and guidance to offshore teams that support our BI platforms
                                                                  • +
                                                                  • Provide guidance to business teams on their Dashboard development efforts
                                                                  • +
                                                                  • Work with IT teams and business partners to conduct POCs, reduce user toil, and find opportunities to drive new innovation through data & business intelligence
                                                                  • +
                                                                  • Engage our BI Platform user communities fostering an environment of knowledge sharing, innovative solutions, and user driven problem resolution
                                                                  • +
                                                                  • Enable the migration of our BI platforms to cloud and support business teams through a period of change
                                                                  • +
                                                                  • Build exceptional relationships with peer groups across our IT and business teams
                                                                  • +
                                                                  • Identify opportunities for automation and implement CICD reducing toil and manual work
                                                                  • +
                                                                  • Implement best in class cloud solutions for BI, leveraging our current partnerships with vendors and our GCP data platform

                                                                  -


                                                                  Requirements & Qualifications:

                                                                  -
                                                                  • 5+ years of experience in business/financial services
                                                                  • Knowledge and understanding of data governance, data policy, privacy
                                                                  • Ability to present ideas and facilitate discussions to build consensus at all levels.
                                                                  • Strong communication skills, both written and spoken
                                                                  • Ability to drive success in a high performing, flexible and small team environment
                                                                  • Strong analytical and communication skills and an ability to communicate and convey technical concepts into “layman terms”
                                                                  • Results orientation and pragmatic approach to decision making
                                                                  • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                  • -
                                                                  +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                +

                                                                What you bring

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-30T18:36:24.255Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/265418794-senior-manager-data-ethics-governance-and-operations-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,expired,2023-08-31T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -4458ac0c-1716-40fe-b1b8-14ca96827b4d,273696044,CN,"Intern, Solution Engineering",on_site,"Ontario, Canada",2023-09-25T12:30:02.475Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern,Solution Engineering position in enter Montreal, QC for winter 2023 (January – April).

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Solutions Engineering is responsible for contributing to the delivery of customer solutions in collaboration with other members of the Customer and Intermodal Solutions and Innovation team who will act as coaches and mentors. The role’s path is determined based on interest and career aspiration in order for the position to be an opportunity to work in the chosen fields of interest and learn more about cutting edge cloud-based enterprise solutions and mission critical systems.

                                                                -

                                                                Major Responsibilities

                                                                  -
                                                                • Participate to solution architecture and design including defining and documenting the design of architecture of the solutions to be delivered
                                                                • -
                                                                • Participate in Application Program Interface (API) and µServices and databases design to meet business requirements
                                                                • -
                                                                • Participate in front-end layers design for both web and mobile
                                                                • -
                                                                • Contribute to code base for backend and frontend
                                                                • -
                                                                • Contribute to a code base for data transformation and enrichment
                                                                • -
                                                                • Document solutions and standards
                                                                • -
                                                                • Engage in the peer review process and pair programming
                                                                • -
                                                                • Automate testing and deployment with Continuous Integration (CI) and Continuous Delivery (CD) pipelines
                                                                • -
                                                                • Write and execute test scripts in accordance to requirements specification
                                                                • +
                                                                • You have experience in troubleshooting server and/or BI clients (e.g, Tableau Desktop) related issues
                                                                • +
                                                                • You have diverse backend databases experience e.g. Oracle, SQL Server, BigQuery, Web data connector etc
                                                                • +
                                                                • You have experience using Version Control Systems (e.g. GitHub) with Infrastructure-as-Code (e.g. Terraform) tools to manage Cloud Infrastructure changes
                                                                • +
                                                                • You have solid knowledge of Microsoft Windows Servers and their use in deploying production applications
                                                                • +
                                                                • You have a strong understanding in how to utilize metrics, monitoring, and alerting, for the purpose of maintaining system reliability and content governance
                                                                • +
                                                                • You understand that system stability drives availability and customer trust
                                                                • +
                                                                • You understand how to utilize identity management (e.g. LDAP) and authorization (e.g. IAM) to manage platform access
                                                                • +
                                                                • You have good understanding of DevOps & DataOps principles and tools
                                                                • +
                                                                • Strong communication and Community-of-Practice management skills
                                                                -

                                                                Requirements

                                                                +

                                                                +

                                                                Great-to-haves

                                                                +

                                                                  -
                                                                • Knowledge or interest in full stack polyglot development (e.g., Java, Python, Javascript, Typescript, NodeJS, Angular, NativeScript, and ReactNative)
                                                                • -
                                                                • Knowledge or interest in databases or related programs (e.g., Structured Query Language (SQL), NoSQL, Document, GraphQL, Search - PostgreSQL, and MongoDB)
                                                                • -
                                                                • Knowledge or interest in modeling complex systems and data including Unified Modeling Language (UML)
                                                                • -
                                                                • Knowledge or interest in DevOps (e.g., Azure DevOps, GitHub, GitLab)
                                                                • -
                                                                • Knowledge or interest in Test automation, Test-driven development (TDD), Behavior-driven development (BDD), Acceptance test–driven development (ATDD)
                                                                • -
                                                                • Knowledge or interest in µService/API architecture (e.g., SpringBoot/Spring Cloud/API Gateway/ApiGee, Anthos)
                                                                • -
                                                                • Knowledge or interest in Distributed Systems and Enterprise Messaging Architecture (e.g. Kafka, Message Queue)
                                                                • -
                                                                • Knowledge or interest of cloud platform Azure and Google Cloud Platform (GCP)
                                                                • -
                                                                • Knowledge or interest in functional testing, performance testing and test automation
                                                                • +
                                                                • Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
                                                                • +
                                                                • Relevant Tableau Professional certification
                                                                • +
                                                                • 3+ years of progressive and relevant work experience managing/administering BI Platforms
                                                                • +
                                                                • Experience with the data offerings in Google Cloud Platform
                                                                -

                                                                Education

                                                                -
                                                                • Working towards a Bachelor’s Degree in Computer Science or Software Engineering
                                                                -

                                                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                -

                                                                -

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11481?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-10-02T12:35:04.001Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/273696044-intern-solution-engineering-at-cn,,expired,2023-09-25T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -fb955bad-59a0-4bbe-b63d-410993e05387,266970214,TD Bank Group,Data Analyst Intern/Co-op,on_site,"Toronto, ON",2023-09-04T16:23:02.684Z,"
                                                                -

                                                                Campus Role Type

                                                                -
                                                                Internship/Co-Op and Summer Opportunities
                                                                -

                                                                -

                                                                Start Date

                                                                -
                                                                – Winter
                                                                -

                                                                +

                                                                +

                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-BI-Platforms-Administrator-ON/573619417/,feed-importer@jobboard.io,,,,2023-10-30T12:35:02.956Z,False,0,4,42,https://talenthub.vectorinstitute.ai/jobs/277326467-bi-platforms-administrator-at-telus,,expired,2023-10-06T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +cea4e451-9f66-4965-8757-35fa16c8a750,280466454,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-10-16T16:25:02.443Z,"

                                                                Hours

                                                                37.5

                                                                Workplace Model

                                                                Hybrid

                                                                +

                                                                Pay Details

                                                                +

                                                                We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                +

                                                                Department Overview

                                                                -
                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                -
                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • -
                                                                +
                                                                Provide subject matter expertise and create a broad range of data models by applying a variety of techniques to build out complex data models

                                                                Job Details

                                                                -
                                                                You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                                                                -

                                                                Job responsibilities for a junior Data Analyst may vary by area. This may include, but is not limited to the following:

                                                                +
                                                                Job Description

                                                                +

                                                                Customer Accountabilities:

                                                                  -
                                                                • Work with business and technology partners to define, develop and document detailed business, data and system requirements.
                                                                • -
                                                                • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.
                                                                • -
                                                                • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.
                                                                • -
                                                                • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.
                                                                • -
                                                                • Based on data analysis, provide recommendations for data remediation, improvements.
                                                                • -
                                                                • Participate in program/ system research, analysis, detailed design and problem resolution.
                                                                • -
                                                                • Respond to user enquiries on data platform, in a timely manner.
                                                                • -
                                                                • Troubleshoot and determine root cause and resolution for application defects.
                                                                • -
                                                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.
                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.
                                                                • -
                                                                • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.
                                                                • -
                                                                • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.
                                                                • -
                                                                • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.
                                                                • -
                                                                +
                                                              • Work closely with business owners to identify opportunities and serve as an ambassador for data modelling
                                                              • +
                                                              • Translate business requirements into technical requirements
                                                              • +
                                                              • Work closely with cross functional teams of data scientists and business process owners to deliver cutting edge analytic solutions
                                                              • +
                                                              • Design and deliver enterprise analytic solutions for the businesses
                                                              • +
                                                              • Work in a highly interactive and team-oriented environment with Data Scientists and Visualization experts
                                                              • +

                                                                -

                                                                Job Requirements

                                                                -
                                                                -
                                                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                +

                                                                Shareholder Accountabilities:

                                                                  -
                                                                • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.
                                                                • -
                                                                • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.
                                                                • -
                                                                • Familiarity with Jira and Confluence.
                                                                • -
                                                                • Proficient with Excel, Visio, SQL, some reporting and analytical tools.
                                                                • -
                                                                • Understands Data Modeling concepts.
                                                                • -
                                                                • Able to manage multiple priorities and work independently, as well as part of a team.
                                                                • -
                                                                • Experience with technology project delivery and agile delivery methodology would be an asset.
                                                                • -
                                                                • Some prior experience with creating visualization such as Process and Data Flows.
                                                                • -
                                                                • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.
                                                                • -
                                                                • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.
                                                                • +
                                                                • Work in a highly interactive, team-oriented environment with Data Scientists and Visualization experts
                                                                • +
                                                                • Ensure core Bank and source systems, data and metadata is appropriately managed to support business requirements / needs
                                                                • +
                                                                • Develop and/or design data solutions and conduct reviews of data models and outputs to validate and test quality of information / solutions
                                                                • +
                                                                +

                                                                +

                                                                Employee/Team Accountabilities:

                                                                +
                                                                  +
                                                                • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                                                                • +
                                                                • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                                                                • +
                                                                • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest
                                                                • +
                                                                • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
                                                                • +
                                                                • Establish effective relationships across multiple business and technology partners, program and project managers
                                                                • +
                                                                • Participate in knowledge transfer within the team and business units
                                                                • +
                                                                +

                                                                +

                                                                Breadth and Depth:

                                                                +
                                                                  +
                                                                • Act as a subject matter expert within their own area of specialization
                                                                • +
                                                                • May serve as an escalation or process reference within field of specialty
                                                                • +
                                                                • Act an information resource for others in their own area
                                                                • +
                                                                • Solve complex problems requiring analysis of multiple variables, which may include consultation with numerous stakeholders
                                                                • +
                                                                • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or escalated matters
                                                                • +
                                                                • Independently perform functions/activities from end to end
                                                                • +
                                                                • Generally reports to a Senior / Manager role

                                                                -

                                                                Additional Information

                                                                -
                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                -

                                                                Early Talent Requirements

                                                                +

                                                                Job Requirements

                                                                +
                                                                +

                                                                Experience and/or Education:

                                                                  -
                                                                • This position is a 4-month work term and will commence January 8th – April 26th, 2024..
                                                                • -
                                                                • Applications must include a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                • +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • 5+ years relevant experience
                                                                -

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                -

                                                                HOURS
                                                                Monday-Friday, standard business hours

                                                                -

                                                                #P&T

                                                                +

                                                                Company Overview

                                                                @@ -59564,1664 +59370,1495 @@ fb955bad-59a0-4bbe-b63d-410993e05387,266970214,TD Bank Group,Data Analyst Intern

                                                                We look forward to hearing from you!

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/19017325/data-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-02T16:30:03.777Z,False,0,17,79,https://talenthub.vectorinstitute.ai/jobs/266970214-data-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19017325/data-analyst-intern-co-op-toronto-ca/,expired,2023-09-04T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -4087fcca-f643-4d44-9760-e3b03e1ab243,273736149,TD Bank Group,Cloud/DevOps Engineer Intern/Co-op,on_site,"Toronto, ON",2023-09-25T16:25:03.141Z,"
                                                                -

                                                                Campus Role Type

                                                                -
                                                                Internship/Co-Op and Summer Opportunities
                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-02T16:30:04.400Z,False,0,13,92,https://talenthub.vectorinstitute.ai/jobs/280466454-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19316929/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-10-16T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0c03a72c-77ad-42b2-b2a9-b9b4db97be16,218284099,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-04-24T17:42:02.687Z,"

                                                                Description

                                                                +

                                                                Position: Staff Perception Developer - Localization and Mapping
                                                                Location: Kitchener, Ontario
                                                                Job Type: Full-Time Permanent
                                                                Experience: 5-10 Years Relevant Work Experience
                                                                Education: Graduate Degree in a related field
                                                                Division: OTTO Motors

                                                                +


                                                                About OTTO Motors, a division of Clearpath Robotics

                                                                +

                                                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                +

                                                                About the Job

                                                                +

                                                                We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                +

                                                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                +

                                                                About You

                                                                +

                                                                For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                +

                                                                Your primary responsibilities will be:

                                                                +
                                                                  +
                                                                • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
                                                                • +
                                                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                • +
                                                                • Evaluation of new algorithms and sensing technology
                                                                • +
                                                                • Assisting with concept development for new products and projects
                                                                • +
                                                                • Supporting deployment and testing of robotic systems
                                                                • +
                                                                +
                                                                  +
                                                                • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                • +
                                                                • Stay up to the date with the latest developments from academia and industry
                                                                • +
                                                                +

                                                                Skills and experience:

                                                                +
                                                                  +
                                                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                • +
                                                                • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
                                                                • +
                                                                • Strong software development skills in modern C++.
                                                                • +
                                                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                • +
                                                                • Excellent leadership, teamwork, and communication skills.
                                                                • +
                                                                • Ability to independently develop software development plans, including scope, timelines, and test procedures.
                                                                • +
                                                                • Hands-on experience with real world autonomous systems.
                                                                • +
                                                                +

                                                                Bonus points for:

                                                                +
                                                                  +
                                                                • Experience writing efficient, high performance code
                                                                • +
                                                                • ROS, Gazebo, OpenCV and PCL experience
                                                                • +
                                                                • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
                                                                • +
                                                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                • +
                                                                +

                                                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-05-24T20:16:41.911Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/218284099-staff-perception-developer-localization-and-mapping-at-clearpath,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +0d40bd76-ce30-4803-8176-7cfeb9abd17f,226986709,NVIDIA,Solution Architect – Drug Discovery and AI,on_site,"Ontario, Canada",2023-05-18T16:15:03.616Z,"
                                                                +

                                                                Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Solutions Architect to work with life sciences customers in EMEA focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

                                                                -

                                                                Start Date

                                                                -
                                                                – Winter
                                                                +

                                                                We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. As a Solution Architect, you will work with cutting-edge computing hardware and software as well as driving the latest breakthroughs in deep learning and artificial intelligence. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire domain. This role offers an excellent opportunity to expand your career while empowering the world\'s most successful companies and institutes. Join us in this exciting journey!

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                What you will be doing:

                                                                +
                                                                  +
                                                                • You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs.

                                                                • +
                                                                • Staying up to date on the state of the art in your application domain and in the production deep learning and machine learning ecosystem. Your responsibilities will include enabling customer adoption of NVIDIA technology and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

                                                                • +
                                                                • Be a thought leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as cheminformatics or drug discovery.

                                                                • +
                                                                • Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

                                                                • +
                                                                • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

                                                                • +
                                                                • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

                                                                • +

                                                                -

                                                                Workplace Model

                                                                -
                                                                Hybrid
                                                                +

                                                                What we need to see:

                                                                +
                                                                  +
                                                                • AI/ML expertise, MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

                                                                • +
                                                                • 5+ years of work-related experience in software development of deep learning methods for scientific applications.

                                                                • +
                                                                • Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

                                                                • +
                                                                • Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

                                                                • +
                                                                • Familiarity with containers, numerical libraries, modular software design, version control

                                                                • +
                                                                • Background in molecular modeling and life sciences.

                                                                • +
                                                                • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skill.

                                                                • +
                                                                • Strong time-management and organizational skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

                                                                • +
                                                                • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain

                                                                • +

                                                                -

                                                                Department Overview

                                                                -
                                                                -

                                                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                -

                                                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                +

                                                                Ways to stand out from the crowd:

                                                                  -
                                                                • Leadership talks with key Leaders from across the organization
                                                                • -
                                                                • Lunch and Learns on topics such as Innovation
                                                                • -
                                                                • Diversity and Inclusion and Personal Branding and so much more
                                                                • +
                                                                • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

                                                                • +
                                                                • Background in CryoEM, Single cell sequencing or computational simulation is a plus

                                                                • +
                                                                • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

                                                                • +
                                                                • Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

                                                                • +
                                                                • Experience with distributed programming models for supercomputing applications, e.g., MPI.

                                                                • +
                                                                • Published record of thought leadership in a technical area or industry segment.

                                                                -
                                                                +

                                                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.

                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Solution-Architect---Drug-Discovery-and-AI_JR1966453-1,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/226986709-solution-architect-drug-discovery-and-ai-at-nvidia,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, +5b45ecf3-e0db-4f5c-a2e6-b5f5164e10f4,228138970,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-05-22T16:15:05.381Z,"
                                                                +

                                                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                -

                                                                Job Details

                                                                -
                                                                -

                                                                The Enterprise DevOps pipeline helps TD get to market faster on public cloud by enabling “Self-service” environment creation, and modularization of both the application and the infrastructure through the pipeline.

                                                                -

                                                                You will take part working and contributing towards various development work, building up new DevOps tools to enable deployment of Azure public cloud services. Day 1, you will treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our technology platforms.

                                                                -

                                                                This may include, but is not limited to the following:

                                                                +

                                                                You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                +

                                                                +

                                                                What You’ll Be Doing:

                                                                  -
                                                                • Work on DevOps development, design, and build, managing tools for Enterprise-wide technology including Nexus binary repository, GitHub code repository, Jenkins, CI/CD engine, Terraform, Sonarqube, & Aquasec
                                                                • -
                                                                • Learn to develop and write Python, Java, shell scripts and groovy code
                                                                • -
                                                                • Learn to setup a development environment with docker, and development tools
                                                                • -
                                                                • Learn about cloud security, working with various cloud security tools, policies and secrets management
                                                                • -
                                                                • Work with DevOps and cloud tools including GitHub, Terraform, Nexus, Jenkins, Xeebia Release & Deploy, Hashicorp Vault, Aquasec, Bitbucket
                                                                • -
                                                                • Gain exposure to Salt, DNS, Redhat Satellite, Datadog, Sensu, SQL, Splunk, Mongo
                                                                • -
                                                                • Learn cloud services including Azure machine learning, Azure SQL, Azure data lake (ADLS), Azure Kubernetes, Azure function, Azure Databrick, etc.
                                                                • -
                                                                • Review and assess new technologies and work through testing, validation, and integration for TD internal tools & systems
                                                                • -
                                                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                                                • +
                                                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                                                • +
                                                                • Work directly with key customers to understand their technology and provide the best solutions.

                                                                • +
                                                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                • +
                                                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                                                • +
                                                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                -

                                                                -

                                                                Job Requirements

                                                                -
                                                                  -
                                                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                • -
                                                                • Knowledge of python and/ or java programming is required
                                                                • -
                                                                • Ideal candidate is a well-rounded developer, with an understanding of DevOps and Cloud tools/ platforms and an enthusiasm to deepen their knowledge and expertise through hands-on experience engineering TD’s DevOps pipeline
                                                                • -
                                                                +

                                                                What We Need to See:

                                                                +
                                                                  +
                                                                • Excellent verbal, written communication, and technical presentation skills in English.

                                                                • +
                                                                • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                                                • +
                                                                • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                • +
                                                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                • +
                                                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                                                • +

                                                                -

                                                                Additional Information

                                                                -
                                                                -

                                                                Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                -

                                                                Early Talent Requirements

                                                                +

                                                                Ways to Stand Out from The Crowd:

                                                                  -
                                                                • This position is a 4-month work term and will commence January 8th – April 26th, 2024..
                                                                • -
                                                                • Applications must include a resume (maximum of 2 pages).
                                                                • -
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • -
                                                                • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                • +
                                                                • Experience running large scale distributed DL training.

                                                                • +
                                                                • Background with working with larger transformer-based architectures.

                                                                • +
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • +
                                                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                                                -

                                                                Assigned Line of Business Requirements
                                                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                -

                                                                HOURS
                                                                Monday-Friday, standard business hours

                                                                -

                                                                #P&T

                                                                -
                                                                +

                                                                +

                                                                +

                                                                +

                                                                +
                                                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228138970-senior-ai-solutions-architect-at-nvidia,,expired,2023-05-22T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +6749ea36-5429-4e4b-b380-a0b3d8bdcac3,219396172,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-04-27T17:37:02.506Z,"

                                                                Senior Manager - Data Risk - Quality and Governance Management

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: 18-May-2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                +
                                                                +

                                                                We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

                                                                +

                                                                +

                                                                The opportunity

                                                                +

                                                                +

                                                                EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

                                                                +

                                                                +

                                                                We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

                                                                +

                                                                +

                                                                Your key responsibilities

                                                                +

                                                                +

                                                                As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

                                                                +

                                                                +

                                                                You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

                                                                +

                                                                +

                                                                You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

                                                                +

                                                                +

                                                                This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

                                                                +

                                                                +

                                                                Additional responsibilities include:

                                                                +
                                                                • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
                                                                • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
                                                                • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
                                                                • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
                                                                • Assisting clients with setup of 3 LOD data risk management framework
                                                                • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
                                                                • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
                                                                • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                                                • +
                                                                +


                                                                Skills and attributes for success

                                                                +
                                                                • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
                                                                • Be self-motivated and passionate about data strategy, management, governance and risk
                                                                • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
                                                                • +
                                                                +


                                                                To qualify for the role, you must have

                                                                +
                                                                • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
                                                                • Bilingual skills in French and English are a strong asset
                                                                • 5+ years of experience developing data management and governance strategies
                                                                • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                                                • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                                                • Knowledge of SQL with experience operating in big data environments.
                                                                • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
                                                                • Strong leadership experience within data management and governance
                                                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                                                • Experience with data management tools such as Collibra, Informatica, etc.
                                                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                                                • Experience of Agile and traditional SDLC delivery methodologies
                                                                • +
                                                                +


                                                                Ideally, you’ll also have

                                                                +
                                                                • Prior consulting experience
                                                                • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                                                                • +
                                                                +


                                                                What we look for

                                                                +

                                                                +

                                                                If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

                                                                +

                                                                +

                                                                What we offer

                                                                +

                                                                +

                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                +

                                                                +

                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                +
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • +
                                                                +

                                                                +

                                                                Diversity and Inclusion at EY

                                                                +

                                                                +

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                +
                                                                +
                                                                +
                                                                EY | Building a better working world
                                                                +
                                                                +
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                +
                                                                +
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                +
                                                                +
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-05-28T03:11:12.749Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219396172-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-04-27T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +9f570b44-9a6b-4ebd-a66b-f04aee2a4563,204324024,CN,Expert Solution Design (Data engineering),on_site,"Ontario, Canada",2023-03-13T17:42:03.572Z,"
                                                                +

                                                                +

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                +
                                                                +

                                                                Job Summary

                                                                +

                                                                The Expert Solution Design is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Solution Design develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                +

                                                                +

                                                                Main Responsibilities

                                                                Data Engineering

                                                                +

                                                                +

                                                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                +

                                                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                +

                                                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                +

                                                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                +

                                                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                +

                                                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                +

                                                                · Integrate analytics and data science results with business processes

                                                                +

                                                                · Promote effective data management practices

                                                                +

                                                                +

                                                                Data Design

                                                                +

                                                                +

                                                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                +

                                                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                +

                                                                · Design and develop processing pipelines that ingest data into Data Hubs

                                                                +

                                                                · Expose the data into meaningful formats, like GraphQL

                                                                +

                                                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                +

                                                                · Participate in building data engineering expertise and framework

                                                                +

                                                                · Translate business needs into technical requirements

                                                                -

                                                                Company Overview

                                                                -
                                                                -Our Values
                                                                At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                -

                                                                Making Your Well-being a Priority
                                                                A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                -

                                                                Our Total Rewards Package
                                                                Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                -

                                                                How We Work
                                                                At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                -

                                                                Who We Are
                                                                TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                -
                                                                +

                                                                Data Development

                                                                -

                                                                Inclusiveness

                                                                -
                                                                -Our Commitment to Diversity, Equity, and Inclusion
                                                                At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                -

                                                                How We’re Helping Make an Impact in Communities
                                                                TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                -

                                                                Accommodation
                                                                Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                -

                                                                We look forward to hearing from you!

                                                                -
                                                                +

                                                                · Acquire, ingest and process data from multiple sources and systems

                                                                +

                                                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                +

                                                                · Conduct metadata management, data cleansing and preparation

                                                                +

                                                                · Produce well documented quality codes

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/19017322/cloud-devops-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-02T16:30:03.777Z,False,0,4,12,https://talenthub.vectorinstitute.ai/jobs/273736149-cloud-devops-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19017322/cloud-devops-engineer-intern-co-op-toronto-ca/,expired,2023-09-25T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -2a1f3709-bbee-4142-8946-101b04d747a0,271560933,RBC,"Associate Director, Environmental & Social Risk Analytics",on_site,"Toronto, ON, Canada",2023-09-19T02:17:04.218Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                Associate Director, Environmental & Social Risk Analytics

                                                                +

                                                                Data Operations - 10% +

                                                                -

                                                                Job Description

                                                                +

                                                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                +

                                                                · Build monitoring and debugging tools to analyze data pipelines

                                                                +

                                                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                +

                                                                · Improve software quality, automate processes, and accelerate software releases

                                                                -

                                                                What is the Opportunity?

                                                                -

                                                                As part of the Environmental & Social Risk Analytics team within Group Risk Management, you will play a role in the management, monitoring, and mitigation of environmental and social (E&S) risks at RBC. You will support and lead the design and implementation of key climate and E&S risk initiatives by providing research and data analytics and insights.

                                                                +

                                                                Data Quality Assurance

                                                                -

                                                                A significant focus of this role will be the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors and setting and tracking progress on net-zero targets.

                                                                +

                                                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                +

                                                                · Develop and implement test plans and scripts for various data quality processes

                                                                +

                                                                · Maintain manual and automated test scripts

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Work with the Director, E&S Risk Analytics to assist in the advancement of RBC’s capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
                                                                • -
                                                                • Support target setting through economic and industry research, making powerpoint slides and reports, and presenting research to a wide range of internal stakeholders.
                                                                • -
                                                                • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, to inform risk management, business strategy, and ESG and climate disclosures.
                                                                • -
                                                                • Identify opportunities to improve environmental & social risk data processes and take a leading role in implementing these changes;
                                                                • -
                                                                • Optimize data quality and results by seeking out public and private data sources and working with internal stakeholders to source RBC data to improve our climate risk measurement and management capabilities.
                                                                • -
                                                                • Lead workstreams and collaborations across multiple teams to accomplish the above
                                                                • -
                                                                • Contribute to the development and management of junior members of the E&S Risk Analytics teams
                                                                • -
                                                                +

                                                                Working Conditions

                                                                +

                                                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                +

                                                                -

                                                                Must have

                                                                -
                                                                  -
                                                                • An interest in Environmental and Social Risk in general and climate change in particular
                                                                • -
                                                                • Experience in working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems
                                                                • -
                                                                • The ability to synthesize data into business insights and communicate these clearly to diverse audiences
                                                                • -
                                                                • An advanced understanding of programming and querying languages, including SQL and python OR a proven ability to both code in another data analytics language (e.g. R, MATLAB, SAS) and the ability learn a new language quickly
                                                                • -
                                                                • Experience developing presentations, visualizations and dashboards for senior executives and an interest in developing advanced analytical capabilities
                                                                • -
                                                                • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights
                                                                • -
                                                                • A desire and proven ability to build new and innovative approaches to complex problems with minimal direction
                                                                • -
                                                                • Commitment to quality and accuracy with a high level of attention to detail.
                                                                • -
                                                                • Excellent written and verbal communication skills.
                                                                • -
                                                                +

                                                                Requirements

                                                                Experience

                                                                -

                                                                Nice to have

                                                                -
                                                                  -
                                                                • Knowledge of climate change science with experience in the development and use of climate and economic scenarios, models, projections and data.
                                                                • -
                                                                • Knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15)
                                                                • -
                                                                • Knowledge or familiarity with internal RBC wholesale lending data systems
                                                                • -
                                                                • Experience with or knowledge of carbon-intensive sectors, e.g. agriculture; aluminum; cement; coal; commercial and residential real estate; iron and steel; oil and gas; power generation; and transportation
                                                                • -
                                                                • Knowledge and experience in quantitative model development, testing and validation.
                                                                • -
                                                                • Experience working with a diverse range of stakeholders.
                                                                • -
                                                                • People manager experience
                                                                • -
                                                                +

                                                                Data Engineering

                                                                +

                                                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                +

                                                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                +

                                                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                +

                                                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                +

                                                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                +

                                                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                +

                                                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                +

                                                                · Experience with Linux and shell scripting

                                                                +

                                                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                +

                                                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                +

                                                                · Experience working in an Agile team environment

                                                                -

                                                                What’s in it for you?

                                                                -

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                -
                                                                  -
                                                                • Leaders who support your development through coaching and managing opportunities
                                                                • -
                                                                • Ability to make a difference and lasting impact
                                                                • -
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                • -
                                                                • Opportunities to do challenging work and make a difference
                                                                • -
                                                                • Opportunities to building close relationships
                                                                • -
                                                                +

                                                                Education/Certification/Designation

                                                                +

                                                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                +

                                                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                +

                                                                · Professional Engineer (P.Eng.) Degree*

                                                                +

                                                                · Google or Azure Data Engineering certification*

                                                                +

                                                                *Any designation for these above would be considered as an asset

                                                                +

                                                                Competencies

                                                                -

                                                                Job Summary

                                                                This position will support the advancement of the bank’s Environmental and Social Risk data management, analysis and disclosure capabilities, and the integration of this data into our risk management framework.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-09-14

                                                                Application Deadline:

                                                                2023-09-30
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000067523/Associate-Director-Environmental-Social-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-02T12:26:03.058Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/271560933-associate-director-environmental-social-risk-analytics-at-rbc,,expired,2023-09-19T02:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -0dedab12-30fa-4bbb-9cc3-553521ce324d,274556199,RBC,"2024 CAE Group - Winter Data Analyst, Data Products (4 Months)",on_site,"Toronto, ON, Canada",2023-09-28T12:21:02.208Z,"
                                                                -

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                -

                                                                Job Title

                                                                2024 CAE Group - Winter Data Analyst, Data Products (4 Months)

                                                                +

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                +

                                                                · Ability to communicate complex solutions

                                                                +

                                                                · Applies analytical thinking

                                                                +

                                                                · Innovates through problem solving

                                                                +

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                +

                                                                · Demonstrates organizational abilities and detail oriented

                                                                +

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                +

                                                                · Works independently with little supervision

                                                                +

                                                                · Applies agile mindset

                                                                +

                                                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                +

                                                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                -

                                                                Job Description

                                                                -

                                                                Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning

                                                                -

                                                                Leadership acumen and a passion to apply it in a dynamic business environment

                                                                -

                                                                Excellent interpersonal and highly developed communication skills (verbal and written)

                                                                -

                                                                Creative and analytical thinker who is self-driven and capable of working in a fast paced environment

                                                                -

                                                                Experience or understanding of data visualization tool Tableau and databases (SQL and/or VBA)

                                                                -

                                                                Programming skills in one or more languages (ex. Python, R, NLP)

                                                                -

                                                                Ability to data extract, transform, and load processes with a variety of data types

                                                                -

                                                                Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

                                                                -

                                                                Strong MS Office skills – Word, Outlook, Excel and PowerPoint

                                                                +

                                                                Technical Skills/Knowledge

                                                                +

                                                                · Strong data analytics and development skills

                                                                +

                                                                · Demonstrated creativity skills

                                                                +

                                                                · Expertise in a combination of Scala, Java or Python

                                                                +

                                                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                +

                                                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                +

                                                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                +

                                                                · Expertise with GraphQL*

                                                                +

                                                                *Any knowledge for any of the above would be considered as an asset

                                                                +

                                                                +
                                                                +About CN

                                                                +

                                                                +

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                +

                                                                +

                                                                -

                                                                Job Summary

                                                                -

                                                                Support quarterly audits by analyzing data and providing valuable insights

                                                                Participate in the design, deliver, and implementation of value add analytics tools and dashboards utilizing  the latest technologies available, to create data solutions to meet auditors needs

                                                                Documentation of process and administration

                                                                Be an active contributor to not only your individual team, but to the CAE data community

                                                                Constantly seek out better ways to do things, new tools, new technologies, new processes

                                                                Work as part of an high performing team

                                                                Help promote analytics across the CAE to enable to become a data-driven organization

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Internal Audit

                                                                Job Type:

                                                                Student/Coop (Fixed Term)

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-08-23

                                                                Application Deadline:

                                                                2023-09-30

                                                                -
                                                                -

                                                                Inclusion and Equal Opportunity Employment

                                                                -

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                -
                                                                -

                                                                -

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                -
                                                                -
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000066345/2024-CAE-Group-Winter-Data-Analyst-Data-Products-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-02T12:26:03.058Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/274556199-2024-cae-group-winter-data-analyst-data-products-4-months-at-rbc,,expired,2023-09-28T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ab91752b-7981-4966-a1f1-d51309547312,275525011,Scotiabank,"Senior Manager, Data Ethics Governance and Operations",on_site,Canada : Ontario : Toronto,2023-10-01T16:24:01.768Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 183978

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose:

                                                                -


                                                                The Customer Insights Data and Analytics (CID&A) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well-governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.
                                                                The role of the Senior Manager, Data Ethics Governance and Operations will be responsible for:

                                                                -

                                                                -

                                                                -
                                                                • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
                                                                • Leading definition and implementation of industry leading data ethics practices and processes
                                                                • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
                                                                • Setting up the day-to-day operations of the team (e.g., reporting, metric/KPI/Audit tracking,).
                                                                • -
                                                                -


                                                                We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design and develop the processes for the ethical use of data.

                                                                -

                                                                -

                                                                Accountabilities:

                                                                -
                                                                • Implement the operating model including standards, guidelines, and frameworks to enable ethical data use
                                                                • Work closely with representatives across the bank to ensure activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                • Works in cross-functional teams, providing guidance on data ethics standards and guideline
                                                                • Participate in discussions focused on design and implementation of best practices and tools to support Data Ethics processes
                                                                • Oversee the review process for: Data Ethics assessments (to provide ethical guidance for analytics, including AI and ML) and Sensitive Data reviews (to determine the level of protection required for data that is moving within the bank, including in cloud technology)
                                                                • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
                                                                • Review the business stakeholders’ implementation of the data ethics framework for quality assurance and compliance
                                                                • Ensure remediation and closure of audit issues within the stipulated deadline
                                                                • Builds strategic relationships across the organization with counterparts in Risk, Compliance, Legal and other control functions to ensure consistency and alignment on best practices across the organization
                                                                • Participate in planning and retrospective sessions, attend stand-ups, etc. – we work in an agile environment
                                                                • Stay abreast of emerging ethical trends and ensure activities are always delivered with a best practice and innovation approach, reflecting appropriate technological developments for competitive business position
                                                                • Lead a high-performance team – this is a people manager role
                                                                • -
                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-27T17:47:04.802Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/204324024-expert-solution-design-data-engineering-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +c9f7d4c8-1202-4678-8bf7-67a44c389770,206568790,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:01.827Z,"

                                                                -


                                                                Requirements & Qualifications:

                                                                -
                                                                • 5+ years of experience in business/financial services
                                                                • Knowledge and understanding of data governance, data policy, privacy
                                                                • Ability to present ideas and facilitate discussions to build consensus at all levels.
                                                                • Strong communication skills, both written and spoken
                                                                • Ability to drive success in a high performing, flexible and small team environment
                                                                • Strong analytical and communication skills and an ability to communicate and convey technical concepts into “layman terms”
                                                                • Results orientation and pragmatic approach to decision making
                                                                • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                • -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/275525011-senior-manager-data-ethics-governance-and-operations-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,expired,2023-10-01T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -a02bd135-f9fe-452e-be0f-8e3b17fee758,275932519,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Winter 2024,on_site,Canada : Ontario : Toronto,2023-10-02T16:24:02.437Z,"

                                                                +

                                                                Requisition ID: 173761

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Purpose

                                                                +

                                                                As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                                                -

                                                                Requisition ID: 184429

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                -

                                                                Term: January 2024 - April 2024
                                                                Application Deadline: October 2nd, 2023

                                                                +

                                                                What your role will be:

                                                                +

                                                                -

                                                                There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                -

                                                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                -

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -
                                                                • Perform data exploration on different data sources and model training
                                                                • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)
                                                                • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
                                                                • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
                                                                • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
                                                                • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
                                                                • Migrate data pipelines and models to new analytics platforms
                                                                • Experiment & learn!
                                                                • -
                                                                -

                                                                -

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                -
                                                                • You are currently enrolled in post-secondary education.
                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                • You have knowledge/experience in:
                                                                • -
                                                                -
                                                                • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
                                                                • Cloud platforms – GCP, Azure or AWS
                                                                • MinIO Data Storage, Airflow, Trino
                                                                • DB2, SQL Server
                                                                • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
                                                                • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
                                                                • -
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • +
                                                                  • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                                                  • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                                                  • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                                                  • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                                                  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                                                  • Present results to business line stakeholders and help implement real data-driven changes
                                                                  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                                                  • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                                  • Skills you already have:
                                                                  -

                                                                  -

                                                                  How do I apply?

                                                                  -

                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                  -

                                                                  -
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Complete a short one-way video interview here.
                                                                  3. Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready click here to begin the assessment.
                                                                  4. -Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                  5. -
                                                                  -

                                                                  Note: The one-way video interview, Plum, and Codility assessment for all our Velocity Technology Winter 2024 Internship applications are the same. You only need to complete this once!

                                                                  -

                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                  -

                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2024-ON/573767717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,6,36,https://talenthub.vectorinstitute.ai/jobs/275932519-velocity-data-engineer-internship-co-op-winter-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2024-ON/573767717/,expired,2023-10-02T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -46c23622-f913-4abb-945a-e8a41ed537ce,274636997,Scotiabank,"Manager, Data Engineer",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-09-28T16:24:03.793Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 185598

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Purpose

                                                                -

                                                                Contributes to the overall success of the Global Operations Analytics department ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end development and reporting lifecycle.

                                                                -

                                                                -

                                                                -

                                                                This includes sourcing the requisite data, delivering sound data solutions to enable reporting, and supporting the infrastructure/product portfolio. Ensures all activities conducted follow governing regulations, internal policies, and procedures

                                                                +

                                                                -

                                                                Accountabilities

                                                                -
                                                                • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                • Designs and maintains scalable data architecture in SQL Server (on-premise and Private Cloud) to support periodical integration, transformation, validation and analysis of financial/operational data from diverse sources. Ensures data architecture is maintained consistently with data management principles and continuously evolves in alignment with the strategic technology and governance standard
                                                                • Work in an Agile environment, be quick to adapt and understand dynamic business requirements, and be able to work with tight timelines. Proactively supports data-based decision making across operational functions by identifying analytical prospects in operational/financial data.
                                                                • Identify opportunities to automate business tasks that are manual/repetitive in nature and drives continuous improvement to key processes. Continuously cycles through the review and application of techniques, tools, and/or utilities to promote working standards and maintain high-quality solutions.
                                                                • Executes all development phases supporting the end-to-end delivery of data solutions. Proficiently performs activities which include data profiling, acquisition, modeling, cleansing & conforming, augmentation with reference data, aggregation, and visualization; setting a solid foundation for on-line interactive dashboards and ad hoc reporting
                                                                • Maintains availability, reliability, and integrity of data products by developing and/or configuring appropriate information controls. Builds strong relationships with enterprise architecture, infrastructure and technology teams to ensure that performance commitments to support business partners are fulfilled.

                                                                • Executes data mining techniques to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value added by data analysis.

                                                                • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                                                                • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of the respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                • -

                                                                -

                                                                Dimensions

                                                                -
                                                                • Data visualizations for Power BI reporting
                                                                • Scope: Canadian Operations
                                                                • Number of projects: ongoing complex reporting initiatives for the Canadian Business/Retail Service Centres
                                                                • MS Azure Cloud Services implementation
                                                                • -
                                                                +

                                                                Education / Experience:

                                                                -

                                                                Qualifications

                                                                -
                                                                • University degree in Engineering, Computer Science, Analytics, Mathematics, or related fields is required
                                                                • University degree in engineering, computer science, mathematics or related fields
                                                                • 7+ years of practical experience in business intelligence and data analytics is required
                                                                • Advanced knowledge of database design, data mining, profiling and modelling techniques.
                                                                • Solid experience with SQL Server, PEGA systems, developing Reporting Services (SSRS), building cubes using Analysis Services (SSAS), Dimensional/Relational modelling, and ETL
                                                                • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server
                                                                • Experience with MS Azure Cloud Services (Implementation & Development)
                                                                • Basic knowledge of Power BI and DAX coding
                                                                • Experience with Python data libraries is an asset
                                                                • Good communication skills are an asset
                                                                • Familiarity of Commercial Banking products, services, policies and procedures, banking regulations and related regulatory requirements is an asset
                                                                • -
                                                                -

                                                                -

                                                                Working Conditions

                                                                -
                                                                • Work in a standard office-based environment; non-standard hours are a common occurrence.
                                                                • +
                                                                  • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                                                  • Experience with machine learning, statistical techniques, as well as model testing and validation
                                                                  • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
                                                                  • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                  • Programming skills in Python, Java, or Scala
                                                                  • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                                                  • Experience with UNIX tools and shell scripting preferred
                                                                  • Expertise with Docker or Kubernetes is an asset
                                                                  • Experience with various services on Google Cloud Platform is an asset
                                                                  • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                                                  • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                                                  • Experience using and implementing visualization tools is an asset
                                                                  • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                                                  • Experience working with cross-functional team in an Agile environment is an asset
                                                                  • Strong verbal, written, presentation & communication skills
                                                                  • Proactive, organized, excellent analytical and problem-solving skills

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Engineer-ON-M3C0N5/574359217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/274636997-manager-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Engineer-ON-M3C0N5/574359217/,expired,2023-09-28T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7748f013-db5a-4391-9fcf-3d896f7ee783,275932526,Scotiabank,Global Banking and Markets - COO Analyst - Summer 2024 - 12 month Intern/Co-op,on_site,Canada : Ontario : Toronto,2023-10-02T16:24:02.802Z,"

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Requisition ID: 184249

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                -

                                                                Term: May 2024 – April 2025

                                                                -

                                                                Application Deadline: 10/02/2023

                                                                -

                                                                -

                                                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                -

                                                                Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in 21 countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.

                                                                -

                                                                Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                -

                                                                -

                                                                Is this role right for you? In this role, you will:

                                                                -
                                                                • Assist our teams in report engineering, data analytics and data engineering and business relationship management.
                                                                • Work with our relationship managers for business lines including Corporate & Investment Banking, Capital Markets, Global Business Payments and International Corporate and Commercial Banking.
                                                                • Help leverage internal and external client data to facilitate opportunity identification.
                                                                • Support adoption, change management and enhancement of our CRM (client relationship management) system.
                                                                • Attend program meetings, and facilitate organization and follow-up as required.
                                                                • Carry out ad-hoc projects and tasks as required.
                                                                • -
                                                                -

                                                                -

                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                -
                                                                • You are currently enrolled in post-secondary education.
                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                                                                • You are interested in or have knowledge of the capital markets and wholesale banking business.
                                                                • You have experience working on a major project and/or initiative in a team.
                                                                • You are comfortable dealing with ambiguity and a matrix-based environment.
                                                                • You have excellent written and oral communication skills.
                                                                • You have advanced experience with Excel.
                                                                • You have considerable initiative, curiosity, creativity, and attention to detail.
                                                                • You have a high level of energy, commitment, and a strong sense of teamwork.
                                                                • +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-27T17:27:03.683Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/206568790-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:05.053Z,"
                                                                +

                                                                Company Overview

                                                                +
                                                                +

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                +

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +
                                                                +

                                                                +

                                                                Department Overview

                                                                +
                                                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                +

                                                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                +
                                                                +

                                                                +

                                                                Job Description

                                                                +
                                                                The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                +

                                                                What are your main responsibilities?

                                                                +
                                                                  +
                                                                • Own and ship product features that enable ML engine capabilities
                                                                • +
                                                                • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                • +
                                                                • Work with research scientists and MLOps team to maintain service product.
                                                                -

                                                                -

                                                                What’s in it for you?

                                                                -
                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.
                                                                • +
                                                                +

                                                                +

                                                                Requirements

                                                                +
                                                                +Must-Have:

                                                                +
                                                                  +
                                                                • Experience with building and scaling data-intensive software.
                                                                • +
                                                                • You value good software design and sweat over details in code and API design.
                                                                • +
                                                                • You enjoy learning new technology and also educating others.
                                                                • +
                                                                • You take great personal pride in building robust and scalable software.
                                                                • +
                                                                • You strive to communicate clearly and with empathy.
                                                                • +
                                                                • You are highly accountable and have a strong sense of ownership.
                                                                • +
                                                                • Ability to do detailed code reviews and give thoughtful feedback.
                                                                -

                                                                -

                                                                How do I apply?

                                                                -

                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                -
                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                2. Complete a short one-way video interview here.
                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                4. -
                                                                -

                                                                -

                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                -

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-COO-Analyst-Summer-2024-12-month-InternCo-op-ON/573676417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/275932526-global-banking-and-markets-coo-analyst-summer-2024-12-month-intern-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-COO-Analyst-Summer-2024-12-month-InternCo-op-ON/573676417/,expired,2023-10-02T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -39ba8f74-d102-43c9-9a7d-56a93cf1e240,192003395,OMERS,Senior Data Engineer (13 month contract),on_site,"Ontario, Canada",2023-02-02T17:42:02.781Z,"
                                                                -

                                                                -

                                                                -

                                                                As a key member of the Data & Advanced Analytics team, the role of Senior Data Engineer is instrumental in enhancing data & analytics capabilities by fostering industry standard processes and delivering high quality data assets to support investment decision making.

                                                                In this position, you will operationalize and maintain data pipelines deployed to the OMERS investment entities and nurture a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration through the implementation lifecycle of projects and solutions.

                                                                This role is accountable for ensuring that all projects, solutions and platforms align with and support overall enterprise Data & Technology strategy & goals, and enforce to company policies, industry standards and best practices.

                                                                -

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                +

                                                                Nice to have

                                                                +

                                                                Experience building a library or a framework.
                                                                Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                Comfortable with statistics.
                                                                Knowledge of machine learning algorithms.
                                                                Knowledge of distributed systems.

                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                #LI-Hybrid
                                                                +

                                                                +

                                                                Hours

                                                                +
                                                                37.5
                                                                +

                                                                +

                                                                Inclusiveness

                                                                +
                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                +

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:35:46.537Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/198034030-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3e6af86b-2f09-4076-b502-2383408b3b4e,198986742,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-02-23T17:20:02.831Z,"
                                                                +
                                                                +2022-12-07T11:18:47.798Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Student Researcher, BS, 2023

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Waterloo, ON, Canada +
                                                                • +
                                                                • + 2 more locations
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                                                +

                                                                This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                                                +

                                                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                  -
                                                                • Deploying ETL pipelines to achieve a high level of reliability, scalability and security.
                                                                • -
                                                                • Designing and developing ETL pipelines to achieve a high level of reliability, scalability and security. Sourcing, transforming and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
                                                                • -
                                                                • Operating in an Agile development environment.
                                                                • -
                                                                • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.
                                                                • -
                                                                • Participating in solution build, delivery, support and solving
                                                                • -
                                                                • Leading change and communicating impacts to business partners and fellow team members
                                                                • -
                                                                • Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget
                                                                • -
                                                                • Participating in establishing sound data management practices for the team and the organization
                                                                • -
                                                                • Identifying, defining and implementing opportunities for enhancing existing processes
                                                                • -
                                                                • Defining and implementing technical test plans and perform unit and integration testing
                                                                • +
                                                                • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                                                  +
                                                                • +
                                                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                                                  +
                                                                -

                                                                -

                                                                To succeed in this role, you have:

                                                                +

                                                                Preferred qualifications:

                                                                  -
                                                                • -Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                                                • -
                                                                • -Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                                                • -
                                                                • -Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
                                                                • -
                                                                • -Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                                                • -
                                                                • -Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                                                • -
                                                                • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required
                                                                • -
                                                                • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                                                                    -
                                                                  • Azure Databricks using Python
                                                                  • -
                                                                  • Azure Functions v2/3 using C# or Python
                                                                  • -
                                                                  • Azure Machine Learning
                                                                  • +
                                                                  • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                  • +
                                                                  • Currently attending a degree program in Canada.
                                                                  • +
                                                                  • Experience as a researcher, including internships, full-time, or at a lab.
                                                                  • +
                                                                  • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                                                    +
                                                                  • +
                                                                  • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                                                    +
                                                                  • +
                                                                  • Ability to speak and write in English fluently.
                                                                  • +
                                                                  +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                                                +

                                                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                +

                                                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                • Participate in research to develop solutions for real-world, large-scale problems.
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-26T16:58:07.416Z,False,0,15,77,https://talenthub.vectorinstitute.ai/jobs/198986742-student-researcher-bs-2023-at-google,,expired,2023-02-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +ca5ec961-7557-40ec-895c-9038267d4eab,198994205,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-02-23T17:37:02.743Z,"

                                                                Manager- Banking Technology - Capital Markets (Data)

                                                                Location: Toronto
                                                                Other locations: Primary Location Only
                                                                Date: Mar 12, 2023
                                                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                                                +
                                                                +

                                                                The Opportunity

                                                                +

                                                                +

                                                                We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                                                                +

                                                                We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                                                                +

                                                                +

                                                                Your Key Responsibilities

                                                                +

                                                                +

                                                                As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                                                                +

                                                                +

                                                                You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                                                                +

                                                                +

                                                                This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                                                                +

                                                                +

                                                                You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                                                                +

                                                                +

                                                                Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                                                                +

                                                                +

                                                                You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                                                                +

                                                                +

                                                                Skills and attributes for success

                                                                +
                                                                • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                                                                • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                                                                • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                                                                • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                                                                • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                                                                • +
                                                                +


                                                                +

                                                                To qualify for the role, you must have

                                                                +
                                                                • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                                                                • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                                                                • +Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                                                                  • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                                                                  • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                                                                  • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                                                                  • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                                                                  • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                                                                  • Overall understanding of the front to back capital markets data value chain
                                                                  • Excellent analytical skills with ability to systematically resolve technical problems
                                                                  • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                                                                • +
                                                                +


                                                                Ideally, you’ll also have

                                                                +

                                                                +

                                                                Technical Skills (Technologies)

                                                                +
                                                                • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                                                                • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                                                                • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                                                                • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                                                                • Comfortable with object-oriented programming
                                                                • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                                                                • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                                                                • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                                                                • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                                                                • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                                                                • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                                                                • Experience in architecture and design of solutions based on functional requirements
                                                                • Experience with application integration, upgrade, decommissioning
                                                                • Experience building and deploying applications in cloud
                                                                • Leading development teams, agile pods
                                                                • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                                                                • +
                                                                +


                                                                Desired Skills

                                                                +
                                                                • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                                                                • SCRUM master and PMP certification is a plus
                                                                • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                                                                • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                                                                • Developing technology strategy, architecture principles, product roadmap
                                                                • +Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                                                                +

                                                                What we look for

                                                                +


                                                                Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                                                                +

                                                                +

                                                                What we offer

                                                                +


                                                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                +


                                                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                                                                +
                                                                • Support and coaching from some of the most engaging colleagues in the industry
                                                                • Learning opportunities to develop new skills and progress your career
                                                                • The freedom and flexibility to handle your role in a way that’s right for you
                                                                • +
                                                                +


                                                                Diversity and Inclusion at EY

                                                                +

                                                                +

                                                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                +
                                                                +
                                                                EY | Building a better working world
                                                                +
                                                                +
                                                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                                                +
                                                                +
                                                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                                                +
                                                                +
                                                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                                                ",,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,feed-importer@jobboard.io,,,,2023-03-26T17:16:46.889Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/198994205-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,expired,2023-02-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +ca08aa7d-f4d1-4181-9750-547d422d5b28,200116547,BMO Financial Group,Sr. Anaplan Modeler,on_site,"Ontario, Canada",2023-02-27T17:12:01.555Z,"
                                                                +

                                                                Application Deadline:

                                                                04/27/2023

                                                                +

                                                                +

                                                                Address:

                                                                100 King Street West

                                                                +

                                                                +

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                +

                                                                +

                                                                Successful candidate will be responsible for data modelling within BMO’s instance of Anaplan to support BMO’s planning and forecasting functions within Finance. Individual should possess an Anaplan Certified Model Builder accreditation with field experience implementing various large-scale projects utilizing iterative/agile project management methodology and domain best practices. Candidate will be the subject matter expert for data integration, translation, and transformation from input sources into models/reports/dashboards and will coordinate with various business and technology stakeholders to develop intermediate/advanced business intelligence models, interpreting business requirements into effective solution designs. The incumbent should possess strong analytical, problem-solving and communication skills with the ability to use creative thinking to solve complex business/technical problems.

                                                                +

                                                                +

                                                                +

                                                                Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                +
                                                                  +
                                                                • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                • +
                                                                • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                • +
                                                                • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                • +
                                                                • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                • +
                                                                • Attracts, retains, and enables the career development of top talent.
                                                                • +
                                                                • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                • +
                                                                • Influences and negotiates to achieve business objectives.
                                                                • +
                                                                • Identifies emerging issues and trends to inform decision-making.
                                                                • +
                                                                • Provides strategic input into business decisions as a trusted advisor.
                                                                • +
                                                                • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                • +
                                                                • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                                                • +
                                                                • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                                                • +
                                                                • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                • +
                                                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                • +
                                                                • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                                                • +
                                                                • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                • +
                                                                • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                                                • +
                                                                • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                                                • +
                                                                • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                • +
                                                                • Identifies/creates the appropriate algorithm to discover patterns.
                                                                • +
                                                                • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                                                • +
                                                                • Oversees the development and delivery of tools and training for data and analytics.
                                                                • +
                                                                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                • +
                                                                • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                • +
                                                                • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                                • +
                                                                • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                • +
                                                                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                • +
                                                                • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                                                • +
                                                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                • +
                                                                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                • +
                                                                • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                • +
                                                                • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                • +
                                                                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                • +
                                                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                • +
                                                                • Performs experimental design approaches to validate finding or test hypotheses.
                                                                • +
                                                                • Uses the appropriate algorithms to discover patterns.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                • +
                                                                • Supports development of tools and delivers training for data analytics and AI.
                                                                • +
                                                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of core business/group processes.
                                                                • +
                                                                • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                • +
                                                                • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                • +
                                                                • Implements changes in response to shifting trends.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                • -
                                                                • Experience with on-premise SQL Server Data Tools
                                                                • -
                                                                • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies
                                                                • -
                                                                -

                                                                -

                                                                Education

                                                                -
                                                                  -
                                                                • Bachelor’s Degree in an appropriate field of study or equivalent work experience
                                                                • -
                                                                • Certifications in Azure Data Engineer and/or Azure DevOps Engineer Expert
                                                                • +
                                                                • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                                                • +
                                                                • In depth experience using machine learning algorithms.
                                                                • +
                                                                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                • +
                                                                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                • +
                                                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                • +
                                                                • Verbal & written communication skills - In-depth / Expert.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth / Expert.
                                                                • +
                                                                • Influence skills - In-depth / Expert.
                                                                • +
                                                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                • +
                                                                • Able to manage ambiguity.
                                                                • +
                                                                • Data driven decision making - In-depth / Expert.

                                                                +

                                                                We’re here to help

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                Our story:

                                                                -

                                                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer_JR-4503?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-04T20:03:07.682Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/192003395-senior-data-engineer-13-month-contract-at-omers,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -dc36108f-b62d-47f7-b306-b54ea620191b,192033518,Thales,Researcher in Autonomous Transportation,on_site,"Toronto, ON, Canada",2023-02-02T21:17:22.301Z,"

                                                                Thales people architect solutions that support 85 million mainline and

                                                                -

                                                                -

                                                                suburban passenger journeys, worldwide, every day. Our Rail Signalling

                                                                -

                                                                and Communication systems are used on metro lines across major cities,

                                                                -

                                                                and 72,000 kms of route, 52,000 trains per day in 16 countries are

                                                                -

                                                                controlled by our Traffic Management Systems. Together We deployed the

                                                                -

                                                                first-ever nationwide ticketing system which processes over 50 million

                                                                -

                                                                ticketing transactions in 100 cities daily.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Thales

                                                                -

                                                                provides world-leading Communications-Based Train Control (CBTC) and

                                                                -

                                                                interlocking for mass rail transit applications globally. The Centre of

                                                                -

                                                                Competence for Urban Rail Signalling is located right before you at

                                                                -

                                                                mid-town Toronto. As the largest office in Canada, we house a department

                                                                -

                                                                for every step of the Software Development Lifecycle (SDLC)! This

                                                                -

                                                                includes Software, Hardware, Systems Design, Verification &

                                                                -

                                                                Validation, Operations, etc. The supporting corporate shared services

                                                                -

                                                                teams in Finance, Human Resources and IT is also located at the office.

                                                                -

                                                                Our office space was designed to provide a sustainable, healthy

                                                                -

                                                                workplace that expresses TRSS’s brand while increasing collaboration.

                                                                -

                                                                Features include Greenguard furniture, EnergyStar appliances,

                                                                -

                                                                low-emitting adhesives, sealants, and sliding glass doors on internal

                                                                -

                                                                offices provide daylight and views to the outside. Come join the big

                                                                -

                                                                Transport family, here in Toronto!

                                                                -

                                                                -

                                                                -

                                                                -

                                                                The primary responsibility of the Researcher in Autonomous Transportation is to lead the research and development of complex system using traditional and cutting-edge vision sensors (e.g., camera, LiDAR) as well as the supporting tools for Autonomous Transportation Solutions. The researcher must drive the design process of the systems or sub-systems that contain modules implementing algorithms within his/her established expertise in data analytics, computer vision, machine learning, control theory and artificial intelligence. The researcher must provide technical advice to R&T members and other departments regarding the latest scientific developments in the core areas autonomous transportations and supporting tools, identifying opportunities for new product offerings or enhanced functionality for enabling the Autonomous transportation product line. The researcher must design, implement and test the feasibility, robustness and performance of the solutions in order to meet the system design and safety requirements. The researcher must present written reports of the system performance evaluation to the R&T team as well as senior management stakeholders. Alongside these responsibilities and aligned with the natural progression of this role into technical management, the researcher must lead other team members supporting the development and implementation of the systems.

                                                                -

                                                                -

                                                                Key Job Functions:

                                                                -
                                                                  -
                                                                • Participate in the technical analysis and modelling of very complex, real-time, autonomous system use cases
                                                                • -
                                                                • Provide inputs to define system architecture and operation for new research concepts for application in urban rail solutions
                                                                • -
                                                                • Translate safety requirements for new autonomous transportation product offerings into test suites for the underlying machine vision, artificial intelligence, sensor fusion and adaptive control algorithms and their implementations
                                                                • -
                                                                • Oversee the design and implementation of prototype systems using computer vision and machine learning modules; manage the integration of software and hardware on experimental platforms
                                                                • -
                                                                • Support overall design solution to product definition including system architecture, failure mode analysis and system redundancy for R&T projects
                                                                • -
                                                                • Participate and provide inputs to the design and implementation of a set of progressively more complex ‘proof of concept’ platforms
                                                                • -
                                                                • Perform prototyping in simulation environments and with “proof of concept” platforms
                                                                • -
                                                                • Ensure that safety is built into the design by early identification of potential issues based both on the proposed system architecture and on its individual modules/functions.
                                                                • -
                                                                • Participate in ‘hands on’ development, integration, field testing and analysis of results
                                                                • -
                                                                • Work with multiple sensors and help develop the latest software algorithms to control complex, safety critical systems
                                                                • -
                                                                • Participate in the design, and review of test software applications required to support various R&T projects
                                                                • -
                                                                • Analyze and communicate results of simulations and/or experimental tests, formulating methodologies and developing tools as needed to collect, process, analyze and visualize large datasets
                                                                • -
                                                                • Prepare written and oral reports, following a sound, evidence-based methodology to analyze, solve, document and present proposed solutions to technical problems
                                                                • -
                                                                • Prepare and present reports to different stakeholders, from internal technical groups, senior management, clients and external collaborators
                                                                • -
                                                                • Write maintainable, reusable code, leveraging test-driven principles to develop high-quality computer vision and machine learning modules
                                                                • -
                                                                • Conduct code reviews for junior members of the team to ensure the highest code quality in computer vision and machine learning components
                                                                • -
                                                                • Act as a technical leader, internal consultant, and scientific liaison for autonomous transportation, keeping up to date with the latest scientific developments in the field, identifying opportunities for new product offerings or enhanced functionality, and conceiving, organizing and leading activities to communicate this knowledge to the R&T team
                                                                • -
                                                                • Act as a mentor and subject matter expert within the team and with other key stakeholders
                                                                • -
                                                                • Contribute to the development of strategic intellectual property for autonomous urban mobility, identifying and assessing innovation opportunities, and promoting an IP-focused development strategy among team
                                                                • -
                                                                • Provides technical support to product team and other departments as required to help with productization of new solutions
                                                                • -
                                                                • Prepare and review technical reports and provide findings and solutions to challenging research problems
                                                                • -
                                                                • Keep abreast of relevant technology developments in the industry and academia as related to R&T projects
                                                                • -
                                                                -

                                                                -

                                                                Key Requirements:

                                                                -
                                                                  -
                                                                • A PhD or minimum of a Masters in Electrical & Computer Engineering, Computer Science, Robotics, Mechatronics, or a related field.
                                                                • -
                                                                • 4+ years of relevant work experience in the design, analysis, implementation and testing of autonomous transportation systems, at least 2 years non-concurrent with the PhD or Masters.
                                                                • -
                                                                • Expert-level knowledge and project-based experience in computer vision methods, such as 3D sensing, object detection, point cloud registration
                                                                • -
                                                                • Knowledge and project-based experience in machine learning and artificial intelligence methods
                                                                • -
                                                                • Ability to work comfortably with the mathematical and statistical theory, methods and computer implementations underpinning new product offerings for autonomous urban mobility
                                                                • -
                                                                • Proficiency in Python and C/C++, other languages are an asset
                                                                • -
                                                                • Knowledge of best practices in code development, documentation and version control
                                                                • -
                                                                • Knowledge and hands-on experience with ROS, QNX, and/or other software platforms for autonomous systems
                                                                • -
                                                                -

                                                                -

                                                                Preferred Qualifications:

                                                                -
                                                                  -
                                                                • Ability to communicate effectively (both written and verbally) with team members, senior management, customers and external collaborators
                                                                • -
                                                                • Ability to work within a dynamic work environment, with changing priorities and deadlines
                                                                • -
                                                                -

                                                                -

                                                                #LI-Hybrid

                                                                -

                                                                -

                                                                -

                                                                -

                                                                Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                                ",,https://gtsgbu.wd3.myworkdayjobs.com/Careers/job/Toronto/Researcher-in-Autonomous-Transportation_R1001255-1,aitalent@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2023-03-04T21:17:24.167Z,True,0,29,178,https://talenthub.vectorinstitute.ai/jobs/192033518-researcher-in-autonomous-transportation-at-thales,,expired,2023-02-02T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -a2247098-0d4f-4fca-9378-a4fdfe03b336,192002196,Scotiabank,"Manager, Customer Intelligence",on_site,Canada : Ontario : Toronto,2023-02-02T17:22:03.988Z,"

                                                                -

                                                                -

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Anaplan-Modeler_R230003700?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-29T20:11:24.197Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/200116547-sr-anaplan-modeler-at-bmo-financial-group,,expired,2023-02-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +1cdb9a25-7afb-4812-8bf2-6988d46495e6,199290397,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-02-24T17:42:02.684Z,"
                                                                +
                                                                +

                                                                Description

                                                                +
                                                                +


                                                                Join our team and what we\'ll accomplish together

                                                                -

                                                                Requisition ID: 172810

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                                                                -

                                                                Purpose:

                                                                -


                                                                The Customer Analytics team of Tangerine is seeking a Manager, Customer Intelligence to support various business lines, including digital and innovation teams, in building exceptional customer experience and in growing their business portfolios through data and analytics-driven insights.
                                                                The incumbent contributes to the overall success of Tangerine by ensuring individual goals are executed and successfully delivered in support of the overall business targets and objectives. She/he also ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                -



                                                                Accountability #1

                                                                -


                                                                • Liaise directly with retail lending product teams to provide strategic analysis that will assist the business grow Tangerine’s customer base.
                                                                • Develop reporting and analytics to support the Money Out Growth Squad (Credit Card, Line of Credit, RSP Loans, Mortgages).
                                                                • Collaborate with Business Intelligence, Digital Analytics, Data Science and Marketing teams supporting initiatives to enhance campaign performance.
                                                                • Define and deliver campaign target lists for all campaigns related to retail lending products.
                                                                • Generate pre-campaign analysis and post campaign reporting and analytics.
                                                                • Provide deep-dive analysis to fully understand campaign performance and adjust if necessary.

                                                                +

                                                                You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                                                                -

                                                                Accountability #2

                                                                -


                                                                • Optimize ongoing reporting and analytics capabilities for the Squad using Google Cloud Platform (Looker, BigQuery)
                                                                • Develop analytics to support new initiatives including new lending products and marketing strategies.
                                                                • Identify customer and product trends for opportunities or issues for future marketing initiatives.

                                                                +

                                                                As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                                                                -

                                                                Education/Experience:

                                                                -


                                                                • Masters / advanced degree in Statistics, Mathematics, Economics, MBA, FSA, or a PhD
                                                                • Proven expert in analytics, data management and performance measurement
                                                                • Exceptional business planning, strategy development and execution skills
                                                                • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
                                                                • Strong data set preparation and creation skills
                                                                • Advanced skills in analytics execution (e.g., SQL, R, Python, Spark)
                                                                • Proficient in BI tools such as Looker/DataStudio, PowerBI or Tableau
                                                                • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
                                                                • Demonstrated strong attention to detail, problem-solving, and critical thinking
                                                                • Previous experience working on Google Cloud Platform (GCP) an asset
                                                                • Previous experience working on product and campaign analytics is strongly preferred

                                                                +

                                                                You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                                                                +


                                                                What you’ll do

                                                                -

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Customer-Intelligence-ON-M2H0A1/567405417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-04T19:48:12.058Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/192002196-manager-customer-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Customer-Intelligence-ON-M2H0A1/567405417/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -0b321b20-79d0-4c54-b1c2-f0460ac194cf,200118227,Sun Life Financial,Senior Campaign Data Analyst (Fixed term),on_site,"Ontario, Canada",2023-02-27T17:41:07.559Z,"
                                                                -

                                                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                -

                                                                -

                                                                -

                                                                Job Description:

                                                                -

                                                                -

                                                                Role Summary

                                                                -

                                                                Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                                                                -

                                                                As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience.

                                                                -

                                                                As Senior Campaign Data Analyst, you will leverage our vast data, SAS and Big Data capabilities to enable these objectives by designing marketing campaigns and delivering data solutions for our inbound and outbound channels. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                                                -

                                                                -

                                                                This is a fixed term position for 12 months. It offers partial benefits and 4 weeks vacation.

                                                                -

                                                                -

                                                                What will you do?

                                                                -
                                                                  -
                                                                • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders

                                                                • -
                                                                • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs

                                                                • -
                                                                • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements

                                                                • -
                                                                • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements

                                                                • -
                                                                • Support stakeholders and third parties throughout the campaign implementation process

                                                                • -
                                                                • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                                                                • -
                                                                • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are fairly complex.

                                                                • -
                                                                • Manage multiple campaigns simultaneously

                                                                • -
                                                                -
                                                                  -
                                                                • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                                                • -
                                                                • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight

                                                                • -
                                                                • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences

                                                                • -
                                                                • Liaise with stakeholders across other teams to resolve discrepancies

                                                                • -
                                                                • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                • -
                                                                • Support campaign target list generation, analyses, measurement and reporting

                                                                • -
                                                                -

                                                                -

                                                                What will you need to succeed?

                                                                -
                                                                  -
                                                                • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                                                                • -
                                                                • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns and business.

                                                                • -
                                                                • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                                                • -
                                                                • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                                                • -
                                                                • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                                                • -
                                                                • -

                                                                  The candidates must have relevant experience in the following areas:

                                                                  -
                                                                    -
                                                                  • Knowledge of Inbound and Outbound campaigns

                                                                  • -
                                                                  • Knowledge on the data needs for analytics and campaigns

                                                                  • -
                                                                  • Communication and liaison experience between business, analytics and IT

                                                                  • -
                                                                  -
                                                                • -
                                                                -

                                                                -

                                                                Unique Requirements

                                                                -
                                                                  -
                                                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                • -
                                                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                • -
                                                                -

                                                                -

                                                                What will be nice to have?

                                                                -
                                                                  -
                                                                • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g. SAS RTDM)

                                                                • -
                                                                • General programming language knowledge and basic application design

                                                                • -
                                                                • Some technical writing, report analysis and PowerPoint presentation creation

                                                                • -
                                                                -

                                                                -

                                                                What\'s In It For You?

                                                                -
                                                                  -
                                                                • Great Place to Work® Certified in Canada and the US - 2022

                                                                • -
                                                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                • -
                                                                • Named “Best Places to Work” by Glassdoor - 2021

                                                                • -
                                                                • Canada Award for Excellence for Mental Health at Work - 2021

                                                                • -
                                                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid # LI- Remote

                                                                • -
                                                                • Competitive salary and bonus structure influenced by market range data

                                                                • -
                                                                • Pension, stock and savings programs to help build and enhance your future financial security

                                                                • -
                                                                • A friendly, collaborative, and inclusive culture

                                                                • -
                                                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                • -
                                                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                • -
                                                                • A common sense dress code, where you decide how you dress based on your day

                                                                • -
                                                                • The opportunity to move along a variety of career paths with amazing networking potential

                                                                • -
                                                                -

                                                                -

                                                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                -

                                                                -

                                                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                -

                                                                -

                                                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                -

                                                                -

                                                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                -

                                                                -

                                                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                -

                                                                -

                                                                Salary Range:

                                                                74,100/74 100 - 120,800/120 800

                                                                -

                                                                Job Category:

                                                                Advanced Analytics

                                                                -

                                                                Posting End Date:

                                                                12/03/2023
                                                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-term-_JR00074404?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-06T17:46:01.536Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/200118227-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-02-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -91272fe6-7bca-4638-8541-ad7979560d1e,194556477,Shopify Inc.,"Senior Data Scientist, Banking & Accounting",on_site,"Ontario, Canada",2023-02-09T17:42:04.654Z,"

                                                                About the role

                                                                -

                                                                Shopify is the world\'s first \'retail operating system\'. It has evolved over 17 years of making commerce better for everyone. Leveraging our data has always been essential to this mission. Our Financial Services are powered by algorithms that benefit merchants, not just through their data, but through the entire history of commerce on Shopify.

                                                                -

                                                                The Banking and Accounting team builds products to extend the financial capabilities for small and medium-sized businesses. It is a cross-functional team with data scientists, engineering, design, and product sitting collectively at the table.

                                                                -

                                                                As a Senior Data Scientist, you’ll help build future financial products used by millions of Shopify merchants, collaborating with technical and non-technical stakeholders across the company. You’ll mentor other data scientists and operate as a technical guide for the team. If you enjoy working in financial services and building greenfield products, this role is for you.

                                                                -


                                                                -

                                                                Qualifications

                                                                -

                                                                You will need to have:

                                                                -
                                                                  -
                                                                • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                • -
                                                                • Deep understanding of advanced SQL techniques
                                                                • -
                                                                • Proven expertise in designing and running experiments, and a track record of more advanced testing methods beyond A/B Testing
                                                                • -
                                                                • Experience building data pipelines and driving ETL design decisions
                                                                • -
                                                                • Experience building machine learning models (e.g. propensity models, recommendation system, risk, credit and trust models)
                                                                • -
                                                                • Proven track record creating data product strategies, shipping data products, iterating after launch, and trying again
                                                                • -
                                                                • Strong ability to prioritize and communicate to technical and non-technical audiences alike
                                                                • -
                                                                • Experience with leading projects and mentoring other data scientists
                                                                • -
                                                                -

                                                                It would be great if you have:

                                                                -
                                                                  -
                                                                • Experience working with commercial organizations (e.g. Sales, Marketing, Account Management, Risk Management, Support)
                                                                • -
                                                                • Experience working at a fintech company or financial services company
                                                                • -
                                                                • Experience setting up experiments in commercial organizations
                                                                • -
                                                                • Previous experience working at a large technology company
                                                                • -
                                                                -

                                                                We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.

                                                                -
                                                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-banking-accounting-remote-americas_4f737e20-6443-4c29-8dc9-0995ffb64adc,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,7,26,https://talenthub.vectorinstitute.ai/jobs/194556477-senior-data-scientist-banking-accounting-at-shopify-inc,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -d9ec37f6-12c3-46e5-94da-2267bd3e8e52,197909521,CN,"Intern, Quality and Analysis – Asset Planning and Quality",on_site,"Ontario, Canada",2023-02-19T17:42:10.399Z,"
                                                                -

                                                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                -

                                                                -

                                                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Quality and Analysis – Asset Planning and Quality position in Edmonton, AB for summer 2023 (May – August).

                                                                -

                                                                Job Summary

                                                                -

                                                                The Intern, Quality and Analysis – Asset Planning and Quality is responsible for developing an understanding of techniques used in the rail and logistics sector, in order to leverage large datasets, to provide insights for operations planning, and to develop tools and reports for Network Operations and Planning and other teams. The role reports directly with the Manager, Quality and Analysis, and works independently and provides daily or weekly reports on the progress and the challenges incurred.

                                                                -

                                                                Major Responsibilities

                                                                -

                                                                Create Next Generation analytic tool for CN Key Operating Metrics

                                                                -
                                                                  -
                                                                • Use the current Morning Network Overview (MNO) report as the base to be enhanced
                                                                • -
                                                                • Create a next generation tool that replicates the delivery of CN’s key metrics in a more interactive and intuitive manner
                                                                • -
                                                                • Create and maintain an updated catalogue of CN’s Key Metrics Library that provides more information on data mining for ad-hoc users (e.g. provide Structured Query Language (SQL) sample code to extract the base data for each measure, develop and implement a more effective method to update and maintain metadata)
                                                                • -
                                                                • Respond to any inquisitions on data irregularities or requests
                                                                • -
                                                                -

                                                                Develop an Operating Metrics Trend Analysis and Forecaster

                                                                  -
                                                                • Utilize data mining techniques to gather pertinent data for analysis
                                                                • -
                                                                • Perform statistical analysis on historical data to determine any correlations between CN’s forecast files and historical performance metrics
                                                                • -
                                                                • Develop a process to forecast certain metrics based on CN’s Revenue Forecast
                                                                • -
                                                                • Determine relationships between operating performance metrics through statistical analysis
                                                                • -
                                                                • Leverage relational databases and write SQL to prepare data
                                                                • -
                                                                • Communicate insights using visualization and reporting software (e.g. Tableau)
                                                                • +
                                                                • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                                                                • +
                                                                • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                                                                • +
                                                                • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                                                                • +
                                                                • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                                                                • +
                                                                • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                                                                • +
                                                                • Implement automation and monitoring tools through a test-driven approach and mindset
                                                                • +
                                                                • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                                                                -

                                                                Enhance Internal Operating Metrics in SharePoint

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Qualifications

                                                                +
                                                                +

                                                                What you bring

                                                                +

                                                                  -
                                                                • Maintain the catalogue of Operating Metrics reports and tools in SharePoint
                                                                • -
                                                                • Collaborate with stakeholders on the utility of reports, refine, and decommission
                                                                • -
                                                                • Develop the metadata to guide users to helpful resources and evangelize the tool
                                                                • +
                                                                • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                                • +
                                                                • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
                                                                • +
                                                                • An expert understanding of data warehouses/cloud architectures and ETL processes
                                                                • +
                                                                • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                                                • +
                                                                • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                                                                • +
                                                                • Experience with Python and software engineering best practices
                                                                • +
                                                                • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                                                                • +
                                                                • Experience with data pipeline and workflow management tools such as Airflow
                                                                • +
                                                                • Experience with Github and CICD processes
                                                                • +
                                                                • Having a proven track record in leading data analytics platform projects
                                                                • +
                                                                • Ready to work in new and challenging work environments
                                                                • +
                                                                • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                                                • +
                                                                • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                                                • +
                                                                • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                                                • +
                                                                • Working in cross-functional teams with exemplary communication and coordination skills
                                                                • +
                                                                • Proving your analytical skills with root cause analysis of issues
                                                                • +
                                                                • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                                                                • +
                                                                • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                                                                -

                                                                Requirements

                                                                +

                                                                +

                                                                Great-to-haves

                                                                  -
                                                                • Strong knowledge of Structured Query Language (SQL), and Database fundamentals
                                                                • -
                                                                • Knowledge of statistics, analytical methods, software development and programming
                                                                • +
                                                                • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                                                • +
                                                                • Machine learning and data science knowledge
                                                                -

                                                                Education

                                                                -
                                                                • Working towards a Bachelor’s Degree in Computing Science, Computer Engineering, Electrical Engineering, Data Science, Statistics or similar discipline (minimum of 2 years completed)
                                                                -


                                                                +


                                                                +
                                                                +
                                                                +
                                                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/566944717/,feed-importer@jobboard.io,,,,2023-03-29T20:03:21.218Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/199290397-senior-data-engineer-at-telus,,expired,2023-02-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +9037bf3c-ef41-412b-ba0f-9559750c192c,204324011,CN,Specialist Data Design,on_site,"Ontario, Canada",2023-03-13T17:42:03.002Z,"

                                                                +

                                                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                Job Summary

                                                                +

                                                                The Specialist, Data Design is responsible for understanding business requirements, creating data definitions, data quality requirements, define data transformation rules, as well as logical and physical data models. The incumbent brings technical expertise to ensure the quality and accuracy of data, then process, designs and presents it in ways to help people, businesses, and organizations make better decisions.

                                                                Main Responsibilities

                                                                +

                                                                Data Design and Management

                                                                · Build conceptual, logical, and physical data models

                                                                · Build source to target mapping documents to describe data transformations

                                                                · Design and develop curated data assets in Data Lake and Data Warehouse to support reporting, data science and data engineering

                                                                · Define, document, and maintain standards and best practices around data modelling

                                                                Testing, Troubleshooting and Delivery

                                                                · Assess and design data architecture components (e.g., data model, mapping, data flows, and transformations) to make sure they are well integrated and aligned with the data and technical architecture

                                                                · Troubleshoot data issues within the business and present solutions and recommendations

                                                                · Define unit testing to ensure Data Engineers follow specifications

                                                                · Participate in the delivery and support of data quality and consolidation initiatives

                                                                · Propose simplification initiatives to allow for more effective data design, and management

                                                                Requirements

                                                                Experience

                                                                Data Design and Modelling

                                                                · Between 3 to 5 years overall work experience

                                                                · Minimum 3 years of experience in analysis, data design and data modelling

                                                                · Experience performing root cause analysis to answer specific business questions and identify opportunities for improvement

                                                                · Experience with big data processing

                                                                · Experience in real time data streaming and loading

                                                                · Experience modelling data for data science projects*

                                                                · Experience working with Scale Agile Methodology (SAFe)*

                                                                · Experience with semi-structured and unstructured data*

                                                                *Any experience for these above would be considered as an asset

                                                                Education/Certification/Designation

                                                                +

                                                                · Bachelor’s Degree specializing in Computer Science, Business Analytics, Mathematics and Statistics, or other quantitative field, related degree, or equivalent experience

                                                                Competencies

                                                                +

                                                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                · Applies analytical thinking

                                                                · Innovates through problem solving

                                                                · Knows the business and stays current with industry trends to elevate expertise and work

                                                                · Demonstrates organizational abilities

                                                                · Collaborates with key internal stakeholders to enable higher productivity

                                                                · Works independently with little supervision

                                                                Technical Skills/Knowledge

                                                                +

                                                                · Advanced knowledge of dimensional modelling techniques, data modelling and data architecture best practices

                                                                · Advanced SQL skills

                                                                · Knowledge of Azure Data Lake (ADLS), Data Warehouse, Data Factory, Development Operations (DevOps) Continuous Integration (CI) and Continuous Delivery (CD), Databricks, and Business Intelligence or relevant data environment

                                                                About CN

                                                                +

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                                                -

                                                                About CN

                                                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                -

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                -
                                                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9966?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/197909521-intern-quality-and-analysis-asset-planning-and-quality-at-cn,,expired,2023-02-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -fbab2fad-138a-4e82-b7ad-15f4bf783a4e,197116704,OMERS,"Student, GIS Data & Analytics (Summer 2023, 4 Months)",on_site,"Ontario, Canada",2023-02-16T17:42:03.270Z,"
                                                                -

                                                                Why join us?

                                                                -

                                                                -

                                                                Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                                At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                                -

                                                                -

                                                                -

                                                                -

                                                                -

                                                                We are looking for a highly motivated, detail-oriented GIS data & analytics Co-op to join our National Strategic Marketing team to support entire Oxford Retail Portfolio in using geographic data and technology to make informed decisions and drive business results. Our primary focus is to provide actionable insights to retail business using data alongside traditional and non-traditional research. The position is an essential part of Strategic Marketing team at Oxford as you will have opportunity to help us change the landscape of commercial Retail. The Co-op will be an integral member of Advanced Analytics and Research team and be responsible for a wide range of activities across the Retail sector with opportunity to apply GIS knowledge on every aspect of Oxford Retail.

                                                                -

                                                                As a member of this team, you will be responsible for:

                                                                +

                                                                +

                                                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                +
                                                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10449?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-30T21:33:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/204324011-specialist-data-design-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +888ab4ff-f24b-44f6-8a4c-edb1e61bb5fe,210219866,Google,"Software Engineer III, Infrastructure, Google Cloud Networking",on_site,"Toronto, ON, Canada",2023-03-30T17:20:03.245Z,"
                                                                +
                                                                +2023-03-28T14:00:21.723Z
                                                                +
                                                                  +
                                                                • Share
                                                                • +
                                                                  Save +
                                                                • +

                                                                Software Engineer III, Infrastructure, Google Cloud Networking

                                                                  +
                                                                • Google
                                                                • +
                                                                • In-office:
                                                                  + Cambridge, ON, Canada +
                                                                • +
                                                                • + 1 more location
                                                                • +
                                                                +
                                                                +
                                                                +

                                                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, ON, Canada; New York, NY, USA.

                                                                +
                                                                +

                                                                Qualifications

                                                                +

                                                                Minimum qualifications:

                                                                  -
                                                                • Leverage geographic data and research to support the development of strategies and objectives by channel, business unit, and brands
                                                                • -
                                                                • Build trade area maps of different Oxford properties and conduct data driven research to optimize the retail operations using GIS software
                                                                • -
                                                                • Collect data on consumers, competitors, and marketplace; consolidate data into actionable insights
                                                                • -
                                                                • Work with different retail stakeholders to understand their needs and build dashboards, reports to help them achieve their goals
                                                                • -
                                                                • Work with team to innovate and build reports, dashboards, and other data products using (both geographic and other data sources) to enhance decision making and daily operations across different retail assets
                                                                • -
                                                                • Conduct customer surveys to build customer profile, understand customer needs and sentiments
                                                                • -
                                                                • Optional- opportunity to shadow data scientists to learn how to build customer segments and build predictive models to optimize operations
                                                                • +
                                                                • Bachelor’s degree or equivalent practical experience.
                                                                • +
                                                                • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                                                                • +
                                                                • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                                                -

                                                                To succeed in this role, you are:

                                                                +

                                                                Preferred qualifications:

                                                                  -
                                                                • Working towards completion of an undergraduate degree (preferably with a targeted graduation date in 2024) with a concentration in GIS or other similar disciplines
                                                                • -
                                                                • Working knowledge of GIS software like Arc GIS
                                                                • -
                                                                • Working knowledge of geographic and demographic data is required
                                                                • -
                                                                • Working knowledge of creating dashboards using Tableau & Power Bi
                                                                • -
                                                                • Self-motivated individual with a strong work ethic and a high level of attention to detail
                                                                • -
                                                                • Ability to communicate clearly, concisely, and accurately (both verbal and written)
                                                                • -
                                                                • Ability to meet tight deadlines and to manage conflicting priorities
                                                                • -
                                                                • Excellent interpersonal skills
                                                                • +
                                                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                                                • +
                                                                • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                                                • +
                                                                • Experience developing accessible technologies.
                                                                -

                                                                -

                                                                -

                                                                -

                                                                Our story:

                                                                -

                                                                Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                                -

                                                                -

                                                                For more information on Oxford, visit www.oxfordproperties.com

                                                                -

                                                                -

                                                                -

                                                                -

                                                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                -
                                                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Business-Data-Scientist--Winter-2023--4-Months-_JR-3786?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,17,77,https://talenthub.vectorinstitute.ai/jobs/197116704-student-gis-data-analytics-summer-2023-4-months-at-omers,,expired,2023-02-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -17cf706e-5198-4d15-ac50-efad339a5c74,198987551,TD Bank Group,Business Application Analyst III,on_site,"Toronto, ON",2023-02-23T17:24:05.231Z,"
                                                                +
                                                                +
                                                                +
                                                                +

                                                                About the job

                                                                +

                                                                Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                +

                                                                With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                                                                +

                                                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                +
                                                                Salary Range Info:
                                                                +

                                                                The US base salary range for this full-time position is $133,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                                                +

                                                                Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                                                +
                                                                +
                                                                +
                                                                +

                                                                Responsibilities

                                                                  +
                                                                • Write product or system development code.
                                                                • +
                                                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                                                • +
                                                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                                • +
                                                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                                                • +
                                                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                                • +
                                                                +
                                                                +

                                                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                +
                                                                +
                                                                +
                                                                ",,"https://careers.google.com/jobs/results/117694007057752774-software-engineer-iii-infrastructure-google-cloud-networking/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-30T21:32:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/210219866-software-engineer-iii-infrastructure-google-cloud-networking-at-google,,expired,2023-03-30T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +8479d20e-c7e6-48a6-898c-9bd40306cfa9,206568607,RBC,"Senior Analyst, Environmental & Social Risk Analytics",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.666Z,"
                                                                +

                                                                Come Work with Us!

                                                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                +

                                                                Job Title

                                                                Senior Analyst, Environmental & Social Risk Analytics

                                                                +

                                                                +

                                                                Job Description

                                                                +

                                                                +

                                                                What is the Opportunity?

                                                                +

                                                                As part of the Environmental & Social Risk team within Group Risk Management, you will play a role in the management, monitoring, and mitigation of environmental and social (E&S) risks at RBC. You will support the design and implementation of key climate and E&S risk initiatives by providing research and data analytics and insights. A significant focus of this role will be the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors and setting and tracking progress on net-zero targets.

                                                                +

                                                                +

                                                                The role will report to the Director, E&S Risk Analytics

                                                                +

                                                                +

                                                                +

                                                                What will you do?

                                                                +
                                                                  +
                                                                • Gather and analyze data required for climate and social risk measurement and work with the Director, E&S Risk Analytics to use this data to inform actionable steps in the management and monitoring of environmental & social risk.
                                                                • +
                                                                • Identify opportunities to improve environmental & social risk data processes and take a leading role in implementing these changes;
                                                                • +
                                                                • Optimize data quality and results by seeking out public and private data sources and working with internal stakeholders to source RBC data to improve our climate risk measurement and management capabilities.
                                                                • +
                                                                • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, to inform risk management, business strategy, and ESG and climate disclosures.
                                                                • +
                                                                • Work with the Director, E&S Risk Analytics to assist in the advancement of RBC’s capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
                                                                • +
                                                                • Contribute to and lead development and delivery of presentation and reports.
                                                                • +
                                                                +

                                                                +

                                                                What do you need to succeed?

                                                                +

                                                                +

                                                                Must-have

                                                                +
                                                                • Degree in a quantitative discipline such as accounting, statistics, economics, econometrics, finance, mathematics, physics, engineering and/or a relevant professional qualification, with concentration in quantitative methods
                                                                +
                                                                  +
                                                                • An interest in Environmental and Social Risk in general and climate change in particular
                                                                • +
                                                                • An advanced understanding of programming and querying languages, including SQL and python
                                                                • +
                                                                • Experience developing presentations, visualizations and dashboards for senior executives and an interest in developing advanced analytical capabilities
                                                                • +
                                                                • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights
                                                                • +
                                                                • A desire and ability to build new and innovative approaches to complex problems.
                                                                • +
                                                                • Commitment to quality and accuracy with a high level of attention to detail.
                                                                • +
                                                                • Excellent written and verbal communication skills.
                                                                • +
                                                                +

                                                                +

                                                                Nice-to-have

                                                                +
                                                                  +
                                                                • Knowledge of climate change science with experience in the development and use of climate change and economic scenarios, models, projections and data.
                                                                • +
                                                                • Knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15)
                                                                • +
                                                                • Experience with or knowledge of carbon-intensive sectors, e.g. agriculture; aluminum; cement; coal; commercial and residential real estate; iron and steel; oil and gas; power generation; and transportation
                                                                • +
                                                                • Experience with or interest in agile or design thinking methodologies or frameworks.
                                                                • +
                                                                • Prior Product Management knowledge/experience or an interest in Product Management.
                                                                • +
                                                                • Knowledge and experience in quantitative model development, testing and validation.
                                                                • +
                                                                • Knowledge of wholesale and retail credit risk rating systems with experience in parameter estimation, portfolio management, or risk appetite.
                                                                • +
                                                                • Experience working with a diverse range of stakeholders.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                What’s in it for you?

                                                                +

                                                                +

                                                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                +
                                                                  +
                                                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                                                                • +
                                                                • Leaders who support your development through coaching and managing opportunities.
                                                                • +
                                                                • Ability to make a difference and lasting impact.
                                                                • +
                                                                • Work in a dynamic, collaborative, progressive, and high-performing team.
                                                                • +
                                                                • Opportunities to do challenging work.
                                                                • +
                                                                • Opportunities to building close relationships with clients.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                Job Summary

                                                                This position will support the advancement of the bank’s Environmental and Social Risk data management, analysis and disclosure capabilities, and the integration of this data into our risk management framework.

                                                                Address:

                                                                TORONTO, Ontario, Canada

                                                                City:

                                                                CAN-ON-TORONTO

                                                                Country:

                                                                Canada

                                                                Work hours/week:

                                                                37.5

                                                                Employment Type:

                                                                Full time

                                                                Platform:

                                                                Group Risk Management

                                                                Job Type:

                                                                Regular

                                                                Pay Type:

                                                                Salaried

                                                                Posted Date:

                                                                2023-03-17

                                                                Application Deadline:

                                                                2023-04-01
                                                                +

                                                                Inclusion and Equal Opportunity Employment

                                                                +

                                                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                ​​​​​​​
                                                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                +
                                                                +

                                                                Join our Talent Community

                                                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                +
                                                                ",,https://jobs.rbc.com/ca/en/job/R-0000052908/Senior-Analyst-Environmental-Social-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-30T17:21:02.273Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/206568607-senior-analyst-environmental-social-risk-analytics-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f0c8e346-075a-469d-969d-e2eed5f762a5,205318966,TD Bank Group,TDI Actuarial Intern / Co-op I,on_site,"Toronto, ON",2023-03-16T17:24:05.118Z,"

                                                                Company Overview

                                                                -

                                                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                -

                                                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                +

                                                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                +

                                                                Why TD?

                                                                +

                                                                TD’s Colleague Promise: A better you. A better us.

                                                                +

                                                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                Department Overview

                                                                -

                                                                Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

                                                                -

                                                                We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

                                                                -

                                                                Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

                                                                -

                                                                If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

                                                                +

                                                                TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.

                                                                +

                                                                In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.

                                                                +

                                                                At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                                                                +

                                                                Job Description

                                                                -

                                                                KEY ACCOUNTABILITIES
                                                                CUSTOMER

                                                                -
                                                                  -
                                                                • Responsible for intake of projects and major initiatives
                                                                • -
                                                                • Responsible for the documentation of all business owned artifacts that are required for projects and major initiatives as defined by the bank’s Project Delivery Life Cycle (PDLC) methodology
                                                                • -
                                                                • Responsible for business process documentation for all business applications owned/managed
                                                                • -
                                                                • Responsible for day to day operations process management to ensure consistency, and delivery according to established SLA
                                                                • -
                                                                • Responsible for all Business Acceptance Test (BAT) documentation that is required for all projects and major initiatives as defined by the bank’s project delivery methodology
                                                                • -
                                                                • Responsible for the execution of all BAT testing for projects and/or release maintenances
                                                                • -
                                                                • Responsible for working with Technology to establish a partnership and ensure all business requirements and Data Governance requirements are met
                                                                • -
                                                                • Provide support on deployment and change management for initiatives relating to applications owned / managed
                                                                • -
                                                                • Review requirements specifications to provide timely and meaningful feedback
                                                                • -
                                                                • Provide feedback and thoughts on possible solutions to issues/risks arising throughout the life cycle of a project, including adherence to enterprise application / data lifecycle practices
                                                                • -
                                                                • Identify and escalate risks that could impact project timelines or the quality of the deliverables to project manager and business owner, provide options and recommendation
                                                                • -
                                                                • Act as an escalation point for application and operation issues both directly and through internal/external business partners (including external vendors)
                                                                • -
                                                                • May provide project management support to various extents
                                                                • -
                                                                -

                                                                SHAREHOLDER

                                                                -
                                                                  -
                                                                • Act as a decision maker on projects within scope—responsible for getting input from the appropriate SMEs in order to make decisions
                                                                • -
                                                                • Accountable for adhering to the EPMO project management methodology
                                                                • -
                                                                • Ensure adherence to the Data Governance Framework
                                                                • -
                                                                • Ensure adherence to guidelines and regulatory requirements under Privacy, Legal, Compliance, and the Office of the Chief Data Officer
                                                                • -
                                                                • Demonstrated ability to build relationships within the team and with key stakeholders
                                                                • -
                                                                • Continuously enhance knowledge/expertise in own area and keep current with leading-edge technologies trends/developments
                                                                • -
                                                                • Continuously enhance knowledge of business domains and their products/services
                                                                • -
                                                                • Support the development of business cases including benefits identification
                                                                • -
                                                                • Support and/or implement solutions that mitigate risk and maximizes the availability of service, efficiency and effectiveness
                                                                • -
                                                                -

                                                                EMPLOYEE / TEAM

                                                                +

                                                                We are hiring for the position of Intern / Co-Op III to provide a range of operational and analytical support and perform transactions and other processing activities. This role will not only provide you introductory experience in a professional setting, you will also be equipped with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline. In this role, you will:

                                                                  -
                                                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                                                • -
                                                                • Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
                                                                • -
                                                                • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
                                                                • -
                                                                • Participate in personal performance management and development activities, including cross training within own team
                                                                • -
                                                                • Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
                                                                • -
                                                                • Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
                                                                • -
                                                                • Contribute to a fair, positive and equitable environment that supports a diverse workforce
                                                                • -
                                                                • Act as a brand champion for your business area/function and the bank, both internally and/or externally
                                                                • -
                                                                • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees
                                                                • +
                                                                • Develop and improve the various actuarial models used
                                                                • +
                                                                • Help analyze experience results
                                                                • +
                                                                • Take part in the production of regulatory rate change submissions
                                                                • +
                                                                • Take part in the production and analysis of monthly financial results
                                                                • +
                                                                • Participate in various research projects and market studies
                                                                • +
                                                                • Maintain and develop the underwriting rules in place
                                                                • +
                                                                • Contribute to various underwriting analyses
                                                                • +
                                                                • Take part in reinsurance related tasks
                                                                • +
                                                                • Participate in the company’s budget process

                                                                Requirements

                                                                -BREADTH & DEPTH

                                                                +What You Bring to TD

                                                                  -
                                                                • Experienced working professional role providing specialized business application management activities, advisory or process / program support within own area of sociality
                                                                • -
                                                                • Advanced knowledge of applications supported by the team including system components, functionality, interfaces, data flows, and business rules
                                                                • -
                                                                • Knowledge of bank’s PDLC methodology, business testing and project management
                                                                • -
                                                                • Requires experienced, conceptual and practical knowledge within their own specialty and knowledge of broader related areas
                                                                • -
                                                                • Advanced understanding of business / functional drivers and processes supported for own area
                                                                • -
                                                                • Advanced analytical and problem-solving skills with the ability to communicate with various business partners to explain complex technical issues with a business lens in easily understandable terms
                                                                • -
                                                                • Leads projects or work streams within broader projects with moderate risk and complexity, may be accountable for ongoing activities, processes and functional programs
                                                                • -
                                                                • Exercises judgment based on the analysis of multiple sources of information
                                                                • -
                                                                • Work performed under minimal management guidance and supervision
                                                                • -
                                                                • Identify and lead problem resolutions
                                                                • -
                                                                • Generally reports to a Manager or Senior Manager
                                                                • +
                                                                • Currently enrolled in an actuarial, math or related university program
                                                                • +
                                                                • Strong academic records and positive work term feedback
                                                                • +
                                                                • Detail orientated, Analytical and Critical Thinker
                                                                • +
                                                                • Quantitative proficiency and comfortable with large datasets
                                                                • +
                                                                • Proficient in Microsoft Excel (Formulas), and Microsoft Office Suite
                                                                • +
                                                                • Ideal candidate posses knowledge of R Shiny
                                                                • +
                                                                • Strong verbal and written communication skills
                                                                • +
                                                                • High degree of personal initiative
                                                                • +
                                                                • Not required but would be an asset: Previous Actuarial work experience Pursuing actuarial exams Knowledge and experience with SAS/SQL, VBA, R, Emblem, Radar, Python, Moody’s Analytics/GGY Axis and additional programs & languages University courses in Property & Casualty, Pricing/Ratemaking, Reserving, Life & Health, etc.

                                                                -

                                                                EXPERIENCE & EDUCATION

                                                                +
                                                                +

                                                                +

                                                                Additional Information

                                                                +
                                                                +

                                                                Early Talent Requirements

                                                                +

                                                                  -
                                                                • Undergraduate degree or technical certificate
                                                                • -
                                                                • 3+ years relevant experience
                                                                • -
                                                                • Strong knowledge of Workday, specifically organizations and associated business processes
                                                                • -
                                                                • Advanced MS Office, specifically Excel
                                                                • -
                                                                • Knowledge of SQL
                                                                • -
                                                                • -Bilingual (English / French) would be an asset #LI-Hybrid -
                                                                • +
                                                                • This position is a 4-month work term and will commence May 5th- August 25th, 2023
                                                                • +
                                                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                • +
                                                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                • +
                                                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                • +
                                                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                                                                -

                                                                Hours

                                                                -
                                                                37.5
                                                                +

                                                                Start Date

                                                                +
                                                                – Fall, – Summer

                                                                Inclusiveness

                                                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                -
                                                                ",,https://jobs.td.com/en-CA/jobs/17830206/business-application-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-06T17:29:03.811Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/198987551-business-application-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17830206/business-application-analyst-iii-toronto-ca/,expired,2023-02-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e400afce-0726-45d1-b453-6d4818ae8912,197907603,BMO Financial Group,First Nations/Métis/Inuit Candidates - Personal & Business Banking Development Program,on_site,"Ontario, Canada",2023-02-19T17:12:03.169Z,"
                                                                -

                                                                Address:

                                                                100 King Street West

                                                                +
                                                                ",,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-30T17:29:05.011Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/205318966-tdi-actuarial-intern-co-op-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,expired,2023-03-16T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +3f212410-4d8d-4422-ab83-0abf4a559f36,202113588,BMO Financial Group,"Home Buying Transformation Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-03-06T17:12:01.599Z,"
                                                                +

                                                                Application Deadline:

                                                                03/29/2023

                                                                +

                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                We invite all experienced and aspiring First Nations / Métis / Inuit professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all of those on BMO\'s Careers page.

                                                                -

                                                                -

                                                                Qualified First Nations / Métis / Inuit applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                                                -

                                                                -

                                                                This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                                                +

                                                                We are looking for some one excited by the following:

                                                                +
                                                                  +
                                                                • Investigation into digital banking and digital product best practices
                                                                • +
                                                                • Competitor research to understand how BMO offerings compare
                                                                • +
                                                                • Analysis of various data sources and types to drive new insights
                                                                • +
                                                                • Support the coordination of various meetings and projects
                                                                • +
                                                                +

                                                                +

                                                                Additional Qualifications:

                                                                +
                                                                  +
                                                                • Working knowledge of digital products & channels and e.g. contact centre, mobile and online.
                                                                • +
                                                                • Working understanding of digital product management
                                                                • +
                                                                • Knowledge of BMO’s products and services.
                                                                • +
                                                                • Frontline customer service experience.
                                                                • +
                                                                • Real estate secured lending experience
                                                                • +
                                                                • Project management experience.
                                                                • +
                                                                +

                                                                +

                                                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                +

                                                                +

                                                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                                                +

                                                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                +

                                                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                                                +

                                                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                                                -

                                                                Are you analytically inclined, digitally-savvy and motivated by the opportunity to innovate and deliver cutting edge products & solutions in Canada?

                                                                -

                                                                At BMO, we’re looking to change the way Canadians bank and you’ll get to drive that change – helping customers make real financial progress across the country. At the heart of this change in Canadian banking is product innovation, data & analytics, and superior risk management – as such, we’re excited to offer a 2-year rotational program designed to accelerate knowledge and personal development by building solid and in-depth understanding of how our Product, Data & Analytics, Risk and Collections business segments operate and interact to deliver results.  

                                                                -

                                                                -

                                                                Product Management: visualize, develop and improve products and services that form our customer offerings and overall experience; help BMO customers make real financial progress by offering differentiated product strategies, value propositions and marketing offers.

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                +
                                                                  +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                                                • +
                                                                • Analyzes issues and determines next steps.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                                                • +
                                                                • Specialized knowledge.
                                                                • +
                                                                • Verbal & written communication skills - Good.
                                                                • +
                                                                • Organization skills - Good.
                                                                • +
                                                                • Collaboration & team skills - Good.
                                                                • +
                                                                • Analytical and problem solving skills - Good.
                                                                • +
                                                                +

                                                                +

                                                                +

                                                                We’re here to help

                                                                +

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                +

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                +

                                                                +

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                +

                                                                +

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                +

                                                                +

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Home-Buying-Transformation-Analyst--Summer-2023--Co-op-Internship----4-Months_R230004245?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-03-30T17:17:02.762Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/202113588-home-buying-transformation-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +42b7d7b1-54ec-485a-9803-ef1f43ea3a48,202114042,Scotiabank,"Senior Analyst, Retail Risk Management (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-03-06T17:22:03.796Z,"

                                                                -

                                                                Risk Management: Shape BMO’s Risk Appetite and develop lending strategies and controls to optimize returns within that Risk appetite

                                                                -

                                                                Data & Analytics: Use Data & Analytics to drive insights and decision-making in partnership with the business and in pursuit of our collective strategic priorities

                                                                -

                                                                Collections: Enable and transform customer experience through usage of data and analytics and modeling techniques. Enhance strategic services provided to customers through end-to-end operations functions.

                                                                -

                                                                -

                                                                Our capabilities and culture have been featured in Forrester, Forbes and at MIT – Product, Risk and Data & Analytics are regular topics at the BMO CEO’s leadership table.

                                                                +

                                                                Requisition ID: 174650

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                -

                                                                The successful candidates in the “Personal and Business Banking Development Program” will be part of a 2-year cohort, working alongside banking product, analytics, and risk leaders to accelerate their knowledge, understanding and skills in how BMO’s largest business segment - Personal and Business Banking (P&BB) operates and interacts.

                                                                -

                                                                -

                                                                Key Accountabilities:

                                                                -

                                                                Support development and implementation of product strategies to drive sales of existing banking products, launch new products to market, optimize profitability and improve the customer experience.

                                                                -

                                                                Support management of product risks to ensure compliance with legal, regulatory, and risk compliance, and reporting.

                                                                +

                                                                Purpose of Job:

                                                                -

                                                                Leverage strong analytical, problem-solving and communication skills to contribute value and grow a network across multiple roles and functions in Canadian Personal & Business Banking, including the Data & Analytics Centre of Excellence, Product Management, Risk Management and Collections.

                                                                +

                                                                Reporting to the Sr Manager, Non Pre-Approval Origination, the Sr Analyst will assist the senior manager in monitoring new accounts origination trends for unsecured Lending portfolio, support on credit risk strategy initiatives and other ad-hoc analysis will be required as necessary.

                                                                -

                                                                Help plan and deploy data & analytics solutions to improve issue understanding, generate insights and enable high-quality, fact-based decisions that drive better business outcomes. 

                                                                +

                                                                The Sr Analysts generally works within the established framework to carry on responsibilities under the supervision of the Senior Manager of Non Pre-Approval origination. A high degree of self-assurance, initiative and business sense is required of the Senior Analyst in order to carry out the position responsibilities proactively in a timely and effective manner.

                                                                -

                                                                Support the development and execution of various data & analytics-related strategies and roadmaps, including data quality and data analytics, reporting, business intelligence, modeling and the design and development of decision support tools.

                                                                -

                                                                -

                                                                Job Requirements:

                                                                -

                                                                -

                                                                · Builds effective relationships with internal/external stakeholders.

                                                                -

                                                                · Leads/participates in the design, implementation, and management of new analytics & reporting solutions.

                                                                -

                                                                · Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                -

                                                                · Collaborates with internal and external stakeholders to deliver on business objectives.

                                                                -

                                                                · Analyzes data and information to provide subject-matter insights and recommendations.

                                                                -

                                                                · Recommends and implements solutions based on analysis of issues and implications for the business.

                                                                -

                                                                · Designs, develops, and implements innovative analytical solutions.

                                                                -

                                                                · Designs and produces regular and ad-hoc reports, and dashboards.

                                                                -

                                                                · Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                                                                -

                                                                · Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                                                                -

                                                                · Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                                                                -

                                                                · Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                                                -

                                                                · Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                                                -

                                                                · Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                -

                                                                · Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                -

                                                                · Builds effective relationships with internal/external stakeholders.

                                                                -

                                                                · Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                -

                                                                · Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                -

                                                                · Works independently on a range of complex tasks, which may include unique situations.

                                                                -

                                                                · Continuously improves processes to identify issues and deliver optimal customer experience.

                                                                -

                                                                · Works with partners to develop salesforce training and materials and manages change.

                                                                -

                                                                · Identifies existing and potential risks and develops risk management controls and processes

                                                                -

                                                                · May support the sales team in development of client deals and related presentations.

                                                                -

                                                                · Develops and maintains relationships with external partners and vendors.

                                                                -

                                                                · Broader work or accountabilities may be assigned as needed.

                                                                +

                                                                The Sr Analyst will also use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning.

                                                                -

                                                                Qualifications:

                                                                -

                                                                · Graduate or Undergraduate degree in Business/Commerce, Data & Analytics, Risk Management, Economics, Engineering, Finance and/or Mathematics

                                                                -

                                                                · Work experience – including Coop and/or Internship placements – Highly Recommended

                                                                -

                                                                · Technical proficiency gained through business and work experience – Highly Recommended

                                                                -

                                                                · Knowledge and experience in data preparation and data analysis – Strong

                                                                -

                                                                · Familiar with one or more industry leading data and analytics tool sets including, but not limited to MS Power BI, TIBCO BPM, Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS – Good.

                                                                -

                                                                · Building business cases – Good

                                                                -

                                                                · Researching market trends – Good

                                                                -

                                                                · Verbal & written communication skills – In-depth.

                                                                -

                                                                · Collaboration & team skills – In-depth.

                                                                -

                                                                · Analytical and problem-solving skills, data driven decision making – In-depth.

                                                                -

                                                                · Influence skills - In-depth.

                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/First-Nations-Mtis-Inuit-Candidates---Personal---Business-Banking-Development-Program_R230000209?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-06T17:17:01.920Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/197907603-first-nations-metis-inuit-candidates-personal-business-banking-development-program-at-bmo-financial-group,,expired,2023-02-19T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e2f853f5-241c-4d53-845b-4297a18774ae,194552333,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-02-09T17:22:02.110Z,"

                                                                +

                                                                Job Responsibilities:

                                                                +

                                                                Portfolio Monitoring

                                                                +
                                                                • Create and maintain reports and dashboards that provide actionable insights.
                                                                • Execute on data requests accurately within a timely manner.
                                                                • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                                                                • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                                                                • +

                                                                +

                                                                Origination Strategies

                                                                +
                                                                • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                                                                • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                                                                • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                                                                • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                                                                • +

                                                                -

                                                                Requisition ID: 169022

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                Support Business Line Initiatives/Projects

                                                                +
                                                                • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                                                                • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
                                                                • +

                                                                -

                                                                What you’ll be doing…

                                                                -

                                                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                                                -

                                                                -

                                                                Is this role right for you? In this role you will:

                                                                -
                                                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                • +

                                                                  Job Requirements:

                                                                  +

                                                                  Required: Bachelor’s degree or higher or equivalent work experience;

                                                                  +

                                                                  A minimum of 1-3 years with an organization in the risk/portfolio management field or data science • Prior experience in a retail lending environment or credit risk management is an asset.

                                                                  +

                                                                  Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).

                                                                  +

                                                                  Able to translate data into digestible dashboards and business insights (Tableau, PowerBI). • Strong ownership mentality and can-do attitude.

                                                                  +

                                                                  Ability to work effectively within a team, able to multi-task and strong analytics skills. • Attention to detail with personal accountability to ensure accuracy.

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,5,16,https://talenthub.vectorinstitute.ai/jobs/202114042-senior-analyst-retail-risk-management-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +28ccf06b-9156-4b13-ac2a-b2952c98d43c,203172169,Scotiabank,Data Scientist - Customer Insights Data & Analytics,on_site,Canada : Ontario : Toronto,2023-03-09T17:22:02.574Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 174199

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose:

                                                                +

                                                                +

                                                                The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within Scotiabank’s Canadian Bank Analytics group. The individual will develop statistical models, data-mining and analytical solutions to solve a wide array of business problems, including how to drive acquisition, migration and engagement strategies across our customer base.

                                                                +

                                                                Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies. We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

                                                                +

                                                                +

                                                                What will you do in this role?

                                                                +

                                                                +
                                                                • Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey
                                                                • Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
                                                                • Act as a modelling and analytics generalist, provide subject matter expertise on modelling/segmentation, advanced analytics, data mining and statistical analysis to internal stakeholders
                                                                • Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
                                                                • Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
                                                                • Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem
                                                                -

                                                                -

                                                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                -
                                                                • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                • Strong knowledge of banking products and their data lifecycle
                                                                • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                • AML/ATF experience or analytic knowledge
                                                                • Data architecture experience in cloud infrastructure
                                                                • Bachelor's degree in business, finance, or engineering
                                                                • Strong experience with data modelling and data analysis
                                                                • Minimum of 3 years of relevant experience in AML/ATF
                                                                • +

                                                                  +

                                                                  Do you have the skills that will enable you to succeed?

                                                                  +

                                                                  +
                                                                  • Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                                                                  • 5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
                                                                  • Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with hands-on experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
                                                                  • Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
                                                                  • Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
                                                                  • Familiar with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
                                                                  • Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
                                                                  • Demonstrated experience developing and implementing recommendation engines in a multi-channel marketing environment an asset
                                                                  • Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
                                                                  • Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior
                                                                  -

                                                                  Please note that this is a contract position

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-06T17:27:05.131Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/194552333-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2023-02-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b3e2b204-5cec-474f-9f8b-63a9f5d69a57,321700046,BMO Financial Group,Senior Data Analyst,on_site,"Ontario, Canada",2024-05-07T01:07:01.581Z,"
                                                                -

                                                                Application Deadline:

                                                                05/09/2024

                                                                -

                                                                -

                                                                Address:

                                                                VIRTUAL59 - HomeRes - ON - BMO

                                                                +

                                                                What's in it for you?

                                                                +

                                                                +
                                                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                • We provide you with the tools and technology needed to succeed
                                                                • You'll get to work with and learn from diverse industry leaders
                                                                • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.
                                                                • +
                                                                +

                                                                +

                                                                Location(s): Canada : Ontario : Toronto

                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,8,65,https://talenthub.vectorinstitute.ai/jobs/203172169-data-scientist-customer-insights-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d171a3d7-7f34-46fd-a2a8-552ee215d556,208690163,BMO Financial Group,"Analyst, Customer Segments, Summer 2023 (Co-op/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.180Z,"
                                                                +

                                                                Address:

                                                                55 Bloor Street West

                                                                Job Family Group:

                                                                Data Analytics & Reporting

                                                                -

                                                                -

                                                                The Reporting and Segmentation Analyst, North American Collections Analytics for data and analytics will assist with:

                                                                -
                                                                  -
                                                                • Sourcing and management of data sets to support strategy and segmentation function.
                                                                • -
                                                                • Segmentation, ad hoc analytics, and test design to support decisioning within collections and recovery.
                                                                • -
                                                                • Monthly performance reporting incorporating performance reads of different strategy changes and new initiatives
                                                                • -
                                                                • This role requires strong data and analytical capabilities to develop new analytics insight supporting a 500+ FTE operations center. The analyst will assist in the development of new collection and recovery strategies such as call center and digital campaigns for high risk customers, next best offer prioritization for collections offers and deals, outsourcing and legal campaigns on defaulting accounts, and debt sale break-even analysis using decision trees, logistic scorecards, and NPV modelling.
                                                                • -
                                                                • They will also support through interpretation of monthly performance results across collections portfolios including shifts in customer risk profile as well as strategy performance.
                                                                • -
                                                                -

                                                                -

                                                                Change Management

                                                                -
                                                                  -
                                                                • New strategy development including data-driven analytics, test design, and rollout plan
                                                                • -
                                                                • Assist in development of segmentation and advanced analytics to drive different treatments and strategies
                                                                • -
                                                                • Profitability assessment of Collection and recovery strategies through risk / return analysis using financial modelling.
                                                                • -
                                                                • Work with internal and external operations teams to define specific treatments to be allocated by strategy
                                                                • -
                                                                -

                                                                -

                                                                Business Performance Management

                                                                -
                                                                  -
                                                                • Management of existing strategies including monitoring / measurement and communication to key stakeholders
                                                                • -
                                                                • Manage continuously measure of tests’ impact through implementation of dedicated reporting and ad hoc analysis. As required, amend / refine strategies through a defined change management process.
                                                                • -
                                                                • Monitor operations execution to ensure that strategies are executed as designed. Assist operations in the execution of strategy through standardized and ad hoc analysis including capacity planning, AHT analysis, etc.
                                                                • -
                                                                • Monitor profile and portfolio changes across countries, products, and delinquency levels
                                                                • -
                                                                • Manage monthly performance views across portfolios including operational execution, strategy performance, and changes to risk profile.
                                                                • -
                                                                -

                                                                -

                                                                Qualifications:

                                                                -
                                                                  -
                                                                • Bachelor’s Degree in Mathematics, Statistics, Physics, Computer Science, Economics, Finance, or other quantitative fields. Master’s Degree preferred
                                                                • -
                                                                • 1+ years of experience in analytics (ideally scorecard development / monitoring, customer segmentation, strategy development in Credit Risk, Marketing or Collection). Graduate Degree with internship experience will also be considered.
                                                                • -
                                                                • Working level statistical skills, including A/B testing, and decision tree modeling.
                                                                • -
                                                                • Experiences with automated report production preferred.
                                                                • -
                                                                • Proficiency with SAS and SQL. Data mining skill in Enterprise Miner or other programming software such as Python preferred.
                                                                • -
                                                                • Ability to clean and compile data to provide analytical driven solutions to real business problems.
                                                                • -
                                                                • Knowledge of consumer credit products preferred
                                                                • -
                                                                -

                                                                -

                                                                Skills:

                                                                +

                                                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  -
                                                                • Excellent analytical thinking capability, good at translating business problems into analytical questions and summarizing data to reach conclusion.
                                                                • -
                                                                • Good communication skills. Strong ability to explain complicated ideas to broader audience.
                                                                • -
                                                                • Proactive problem solver and team player.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                • +
                                                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                • +
                                                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                • +
                                                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                • +
                                                                • Designs, develops, and implements innovative analytical solutions.
                                                                • +
                                                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                • +
                                                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                • +
                                                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                • +
                                                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                • +
                                                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                • +
                                                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                • +
                                                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                • +
                                                                • Builds effective relationships with internal/external stakeholders.
                                                                • +
                                                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                • +
                                                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                • +
                                                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                • +
                                                                • Works independently on a range of complex tasks, which may include unique situations.
                                                                • +
                                                                • Broader work or accountabilities may be assigned as needed.

                                                                  Qualifications:

                                                                  +
                                                                • +
                                                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                • +
                                                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                • +
                                                                • Technical proficiency gained through education and/or business experience.
                                                                • +
                                                                • Verbal & written communication skills - In-depth.
                                                                • +
                                                                • Collaboration & team skills - In-depth.
                                                                • +
                                                                • Analytical and problem solving skills - In-depth.
                                                                • +
                                                                • Influence skills - In-depth.
                                                                • +
                                                                • Data driven decision making - In-depth.
                                                                -

                                                                -
                                                                -

                                                                -

                                                                Compensation and Benefits:

                                                                -
                                                                $54,500.00 - $101,500.00

                                                                -

                                                                Pay Type:

                                                                Salaried

                                                                -

                                                                The above represents BMO Financial Group’s pay range and type.

                                                                -

                                                                -

                                                                Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                -

                                                                -

                                                                BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                -

                                                                -

                                                                -

                                                                We’re here to help

                                                                -

                                                                -

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                -

                                                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                -

                                                                -

                                                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                -

                                                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                -
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Mississauga-ON-CAN/Senior-Data-Analyst_R240006727?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-13T23:03:00.000Z,False,0,3,40,https://talenthub.vectorinstitute.ai/jobs/321700046-senior-data-analyst-at-bmo-financial-group,,expired,2024-05-07T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0b1a9739-11dd-4c12-b6b7-deb61da24307,319679253,AltaML,Senior Machine Learning Developer,on_site,"Toronto, ON, Canada",2024-04-24T16:38:01.587Z,"
                                                                -
                                                                AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI solutions. We call our business model Invent and Scale, from industry agnostic to industry focused, which encompasses focus and domain expertise combined with an ability to understand workflows and how to get to generalizability with data. AltaML has multiple functional disciplines and joint ventures.
                                                                -

                                                                -
                                                                We are a company like no other – we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.
                                                                -

                                                                -
                                                                We don’t hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you’re passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!
                                                                -

                                                                -

                                                                -
                                                                As a Senior Machine Learning Developer and a member of the ML Development team, you ensure the delivery of value to customers by developing high-quality AI/ML solutions to their business problems. We are specifically seeking a candidate with expertise in Large Language Models (LLMs). Your primary responsibilities include working as a senior resource in projects, where you may also be asked to assume the technical lead role in AI/ML projects.
                                                                -

                                                                -
                                                                You will play a hands-on role in solving problems utilizing Data Mining and Machine Learning techniques, with a particular emphasis on Large Language Models. You will work with multiple tools and gain experience in various AI/ML and data processing fields, tailoring solutions to leverage LLMs effectively. Additionally, you will ensure that ML developers follow our rigorous ML development processes and work on improving them.
                                                                -
                                                                -
                                                                -

                                                                💻 What You'll Do:

                                                                -
                                                                    -
                                                                  • Hands-on technical leadership on projects with a focus on LLM applications
                                                                  • -
                                                                  • Quality assurance and technical correctness of projects
                                                                  • -
                                                                  • Improvement of internal technical processes, tooling, and standards
                                                                  • -
                                                                  • Providing mentorship to less senior resources especially in the LLM domain
                                                                  • -
                                                                  • Collaboration with other team members to integrate LLM solutions into broader AI/ML initiatives
                                                                  • -
                                                                  • Adherence to company development standards and processes
                                                                  • -
                                                                -
                                                                -
                                                                -

                                                                🚀 What You Bring:

                                                                -
                                                                    -
                                                                  • 3+ years applicable experience in applied AI/ML, with a focus on LLM
                                                                  • -
                                                                  • Experience leading applied AI/ML projects, particularly in the LLM domain
                                                                  • -
                                                                  • Broad knowledge of AI/ML, with expertise in Large Language Models
                                                                  • -
                                                                  • Degree in Comp Sci, Comp Eng, Statistics, or related field
                                                                  • -
                                                                  • Expertise with Software Development practices and tools
                                                                  • -
                                                                  • Expertise with Python (Pandas, SciKit, and similar)Exposure to cloud platforms and big data is a plus
                                                                  • -
                                                                -
                                                                -
                                                                -
                                                                Equal Opportunities
                                                                -
                                                                AltaML is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
                                                                -

                                                                -
                                                                We Look for A-Players Who:
                                                                -
                                                                - Express our core values
                                                                -
                                                                - Are hungry for knowledge
                                                                -
                                                                - Want to learn new skills
                                                                -
                                                                - Are respectful
                                                                -
                                                                - Collaborate with others across the whole company
                                                                -
                                                                - Share knowledge with coworkers
                                                                -
                                                                - Educate and promote AI and ML concepts both internally and externally
                                                                -
                                                                - Have a high work ethic and are self-motivated
                                                                -

                                                                -
                                                                Our Perks:
                                                                -
                                                                🌴Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
                                                                -
                                                                🚀Make an Impact - Witness the impact your work contribution has on the success of our company.
                                                                -
                                                                👩🏿‍💻Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
                                                                -
                                                                🩺Competitive Benefits - For all full time, permanent employees.
                                                                -
                                                                -🏢 Office as a Resource - Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
                                                                -
                                                                Big Slack Energy - IYKYK.
                                                                -

                                                                -

                                                                -
                                                                Our Culture:
                                                                -
                                                                You will be working in a high-paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.
                                                                -
                                                                -
                                                                You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You’ll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.
                                                                -

                                                                -
                                                                Core Values:
                                                                -
                                                                At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success.
                                                                -

                                                                -
                                                                Gritty
                                                                -
                                                                We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.
                                                                -

                                                                -
                                                                Agile
                                                                -
                                                                We make decisions based on “little bets” creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome.
                                                                -

                                                                -
                                                                Humble
                                                                -
                                                                We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.
                                                                -

                                                                -
                                                                Happy
                                                                -
                                                                We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.
                                                                -

                                                                -
                                                                ",,https://jobs.lever.co/altaml/b707786d-39de-4bc0-b02f-596873eafa17,feed-importer@jobboard.io,,,,2024-05-16T18:09:00.000Z,False,0,11,60,https://talenthub.vectorinstitute.ai/jobs/319679253-senior-machine-learning-developer-at-altaml,https://jobs.lever.co/altaml/b707786d-39de-4bc0-b02f-596873eafa17,expired,2024-04-24T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -18cc4de1-37df-4377-8abd-c6c863a977f2,322316897,Shopify Inc.,"Engineering Internships, Fall 2024",on_site,"Ontario, Canada",2024-05-10T01:36:02.201Z,"
                                                                -
                                                                -
                                                                Back
                                                                -

                                                                Engineering Internships, Fall 2024

                                                                -
                                                                  -
                                                                • -Remote - Americas
                                                                • -
                                                                • Engineering
                                                                • -
                                                                -
                                                                Apply Now
                                                                -

                                                                About Shopify

                                                                -
                                                                -

                                                                Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                About you

                                                                -
                                                                -

                                                                Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                -Before you apply, consider if you can:
                                                                  -
                                                                • Care deeply about what you do and about making commerce better for everyone
                                                                • -
                                                                • Excel by seeking professional and personal hypergrowth
                                                                • -
                                                                • Keep up with an unrelenting pace (the week, not the quarter)
                                                                • -
                                                                • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                • -
                                                                • Bring critical thought and opinion
                                                                • -
                                                                • Embrace differences and disagreement to get shit done and move forward
                                                                • -
                                                                • Work digital-first for your daily work
                                                                • -
                                                                -
                                                                -
                                                                -
                                                                -
                                                                -Shopifyhttps://www.shopify.com -
                                                                -
                                                                -

                                                                About the role

                                                                -
                                                                -

                                                                About The Program

                                                                -


                                                                Our Engineering Internships are open to current university students, recent grads, self-taught learners, and career changers.

                                                                -

                                                                Our Engineering Internships are 4 month long, full-time, paid experiences. For our Fall 2024 cohort, we are looking for students that can join us from September 3rd - December 20th, 2024. You must be able to commute to the Shopify Toronto office (620 King Street West). Interns will work primarily from Shopify\'s Toronto office located at 620 King Street West, while still having the opportunity to work remotely on certain days.

                                                                -

                                                                Please note: if you do not currently live in the Greater Toronto Area, you must be willing to relocate for in-office experiences. Shopify is a digital-first company, but we\'re eager to welcome interns in-person to our office to maximize impact and learning opportunities.

                                                                -

                                                                If successful in your application to the Engineering Internships Program, we will match you to a team when you start at Shopify.

                                                                +

                                                                We’re here to help

                                                                -

                                                                Additional Resources

                                                                -

                                                                Find out more about our past interns experiences, watch our Intern Diaries video, and read through our Engineering Internships FAQ to help answer any questions you may have about Engineering internships at Shopify.

                                                                +

                                                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                -

                                                                What you’ll do as a Shopify Engineering Intern:

                                                                -

                                                                We’re looking for Software Developers with a passion for solving tough problems with performant code. Shopify is a big part of the Rails community, and we’re constantly improving our codebase to make it even better. We prioritize quality code and time-boxed building. Our teams deploy new code multiple times a day and support a massive ecosystem (we\'re talking millions of online stores).

                                                                +

                                                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                -

                                                                Qualifications

                                                                -
                                                                  -
                                                                • Interns will work primarily from Shopify\'s Toronto office located at 620 King Street West, while still having the opportunity to work remotely on certain days. Shopify is a digital-first company, but we\'re eager to welcome interns in-person to our office to maximize impact and opportunities. Think: Office-life at least 3 days a week with fellow interns, and in-person mentorship, with the option for a remote work experience the rest of the week.

                                                                • -
                                                                • You love challenging yourself with projects or hacking just for fun

                                                                • -
                                                                • You are a constant learner

                                                                • -
                                                                • You have a passion for solving tough problems with code

                                                                • -
                                                                • You take ownership of the projects you work on

                                                                • -
                                                                • You enjoy research and figuring out how pieces of an entire project work

                                                                • -
                                                                • You take pride in creating simple solutions to complex problems

                                                                • -
                                                                • -

                                                                  You have a strong commitment to quality

                                                                  +

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -
                                                                • +

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  +

                                                                  +

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  +
                                                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Segments--Summer-2023--Co-op-Internship--4-months_R230003410?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-06T17:17:03.658Z,False,0,6,20,https://talenthub.vectorinstitute.ai/jobs/208690163-analyst-customer-segments-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ee6fed05-60f8-475d-ae5f-973cb2d79597,206568796,Scotiabank,Automotive Risk Strategy & Analytics,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:02.258Z,"

                                                                +

                                                                +

                                                                +

                                                                +

                                                                Requisition ID: 175543

                                                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                +

                                                                +

                                                                Purpose of Job:

                                                                +

                                                                +

                                                                The Manager, Portfolio Insights, SDA Risk, GRM will monitor key risk performance of the Retail Automotive portfolio, and contribute to the
                                                                development and enhancement of business intelligence tools and provide actionable insight to the Automotive Risk teams as well as product and
                                                                business line partners.

                                                                +


                                                                The role is highly technical and requires expert SAS, data analytics and BI tools knowledge, as well as ability to optimize and maximize
                                                                efficiency of existing processes. The incumbent will deliver strategic analysis to senior management while working with multiple stakeholders
                                                                and partners to facilitate development of Risk-Reward opportunities. He/She will develop optimal analytical methodologies to assess the growth
                                                                opportunities, and monitor results.

                                                                +

                                                                +

                                                                Job Responsibilities:

                                                                +

                                                                +

                                                                Accountability 1: Automotive Credit Risk Portfolio Tracking

                                                                +


                                                                • Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key
                                                                performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize
                                                                workstream.
                                                                • Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing
                                                                vast amounts of data into coherent messages.
                                                                • Proactively provide strategic analysis that will assist in optimizing risk rewards ratios and grow the portfolios
                                                                • Collaborate with Strategy and Policy teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics
                                                                and quality, line optimization and collections effectiveness
                                                                • Analyze strategy effectiveness , leverage champion/challenger capabilities to confirm assumptions and recommend changes, identify if
                                                                any credit risks are or will become in excess of the risk appetite framework and make recommendations on how to mitigate.

                                                                +

                                                                +

                                                                Accountability 2: Customer Focus

                                                                +


                                                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                                                +

                                                                +

                                                                Accountability 3: Innovation

                                                                +


                                                                • Explore opportunities for using latest innovative analytics and Business Intelligence tools to showcase portfolio dynamics, derive
                                                                insights and streamline processes
                                                                • Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability

                                                                +

                                                                +

                                                                Accountability 4: Risk Appetite Framework alignment

                                                                +


                                                                • Ensure all business line strategic priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk
                                                                Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than
                                                                planned.
                                                                • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and
                                                                effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF
                                                                risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory
                                                                Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                +

                                                                +

                                                                Job Requirements:

                                                                +

                                                                +
                                                                • Bachelor's or Graduate Degree in Math, Engineering, Computer Science, Marketing, Economics or Statistics
                                                                • 3+ years analytical experience required
                                                                • Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
                                                                • Strong communication skills essential with clients and management
                                                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                • 1+ years’ experience in Retail Products is a great asset
                                                                -

                                                                Additional Information in your application:

                                                                -
                                                                  -
                                                                1. Include your resume

                                                                2. -
                                                                3. Answer all the application questions

                                                                4. -
                                                                5. Once you submit your application, all successful candidates will then be emailed a mandatory Technical Challenge to complete. This will help us get a better understanding of your programming knowledge.

                                                                6. -
                                                                -

                                                                We know that applying for internships can be time-consuming, and we truly appreciate your effort. Our Intern Program team are actual real live people (👋🏻) and are looking forward to learning more about you through your application.

                                                                -

                                                                Applications for our Engineering Internships are due on Tuesday, May 14th at 11:59pm (Eastern Standard Time). Technical Challenge submissions are due Wednesday, May 15th at 11:59pm (Eastern Standard Time).

                                                                -
                                                                -
                                                                -
                                                                -
                                                                -

                                                                We hire people, not resumes. If you think you’re right for the role, apply now.

                                                                -
                                                                  -
                                                                  Apply Now
                                                                  -

                                                                  First things first

                                                                  -
                                                                  -
                                                                  We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below:
                                                                  -
                                                                  -
                                                                  I am always seeking (often uncomfortable) growth and deepening my craft expertise
                                                                  -
                                                                  I thrive on change in an ambiguous environment and can keep pace to ship weekly
                                                                  -
                                                                  I want to work remotely for my daily work
                                                                  -
                                                                  -

                                                                  It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.

                                                                  Submit
                                                                  -

                                                                  Application

                                                                  -
                                                                  -

                                                                  *Required

                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  Name*
                                                                  -
                                                                  Email*
                                                                  -
                                                                  Resume*
                                                                  -
                                                                  Linkedin Profile*
                                                                  -
                                                                  -Location*
                                                                  -
                                                                  -
                                                                  -
                                                                  Please confirm you\'ve read and agree with our candidate NDA* -
                                                                  - -
                                                                  -
                                                                  -
                                                                  Please confirm you\'ve read our applicant privacy notice* -
                                                                  - -
                                                                  -
                                                                  -
                                                                  -

                                                                  Internship Questions

                                                                  -
                                                                  Are you legally eligible to work in Canada for a full-time internship?* -
                                                                  -
                                                                  -Select the Software Engineering areas that you\'ve worked in (You can select more than one). *

                                                                  As a note: We match interns to engineering subdisciplines and teams that are best for Shopify and that we think the student would be successful in.

                                                                  -
                                                                  -Backend EngineeringFrontend EngineeringInfrastructure EngineeringMobile EngineeringSecurity EngineeringI do not have any experience in the listed disciplines. -
                                                                  -
                                                                  -
                                                                  -Which of the following best describes you?*
                                                                  -
                                                                  I am currently pursuing a Computer Science degree, and looking for an internshipI have completed a Computer Science degreeI am currently pursuing a post-secondary program related to Software DevelopmentI have a degree other than CS, and am a self-taught Software DeveloperI am a self-taught Software Developer
                                                                  -
                                                                  -
                                                                  -When would you be eligible for a full-time role?*
                                                                  -
                                                                  I will be eligible for a full-time role immediately following this internshipI would be eligible for a full-time role before December 2025I would be eligible for a full-time role before December 2026I would be eligible for a full-time role before December 2027The above statements do not apply to me
                                                                  -
                                                                  -
                                                                  -Do you live in the Greater Toronto Area? *

                                                                  Please refer to this article to determine our definition of Greater Toronto Area.

                                                                  -
                                                                  -
                                                                  Yes - I live within the GTA and can commute inNo - I live outside the GTA and will need to relocate
                                                                  -
                                                                  -
                                                                  -In the Game Changers Championship in 2023 which game did our women’s Shopify Rebellion team win for?*
                                                                  -
                                                                  DOTA 2HALOVALORANTSTARCRAFT
                                                                  -
                                                                  -
                                                                  -In the article “The culture of golf meets the power of commerce: 5 Shopify merchants shaking up the sport” which merchant saw the biggest increase in sales last year while using Shopify’s platform?*

                                                                  Article can be found here.

                                                                  -
                                                                  -
                                                                  Fore AllBad Birdie MalbonBlackballed GolfEastside Golf
                                                                  -
                                                                  -
                                                                  -In Shopify’s “Enterprise software does not have to suck” what are merchants saying they need actioned now?*

                                                                  Article can be found here.

                                                                  -
                                                                  -
                                                                  Speed and simplicityFlexibility and composable solutionsA blended model and time to marketAbility to scale and checkout traffic
                                                                  -
                                                                  -
                                                                  -Which Open Source work does Shopify NOT sponsor?*

                                                                  Article can be found here.

                                                                  -
                                                                  -
                                                                  Ruby CentralGraphQL Ruby GemLinux FoundationGraphQL Foundation & Gem Group
                                                                  -
                                                                  -
                                                                  -Please answer the question below*
                                                                  -

                                                                  You are in a maze with 4 rooms, each with gold inside. Room A has 40 gold, B has 50, C has 75, and D has 100.

                                                                  -

                                                                  Each room is connected via a Path that costs a certain amount of gold to use. To determine how much gold you need to pay, complete that Path’s math equation and deduct its result (rounding up) from your total gold.

                                                                  -

                                                                  The Path equations are as follows:

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T17:27:06.974Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/206568796-automotive-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +594bc3d7-fe54-49f4-9809-7b0fe341422d,202420409,Scotiabank,"Manager, AI and Machine Learning",on_site,"Ontario, Canada",2023-03-07T18:12:28.541Z,"

                                                                  Requisition ID: 168147

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +


                                                                  Purpose

                                                                  +

                                                                  The role Manager, AI and Machine Learning, AML/ATF Models and Analytics is responsible for applying sophisticated statistical and AI/Machine Learning technique to develop and implement better models and solutions for Transaction Monitoring, Payment and Name Screening and Client risk Rating.

                                                                  +

                                                                  This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives, and ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                  +

                                                                  Accountabilities

                                                                    -
                                                                  • Pathway AB: 2 + 3 * 4 - 5 / 10 + 5^2

                                                                  • -
                                                                  • Pathway AC: 2^3 + 4 * 5 - 6 /10 + 1

                                                                  • -
                                                                  • Pathway BC: 5 * 4 - 2 + 5^2 - 7

                                                                  • -
                                                                  • Pathway BD: 3 + 4 * 5 - 8 / 2 + 1

                                                                  • -
                                                                  • Pathway CD: 3^3 + 8 - 5 * 3 + 8

                                                                  • +
                                                                  • Apply sophisticated modeling techniques, including AI and Machine learning, to develop and implement innovation models and solutions for the Bank's AML program.
                                                                  • +
                                                                  • Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance the model performance for AML/ATF and ABAC models
                                                                  • +
                                                                  • Participate with, the model development teams to scope, understand and appropriately document AML/ATF risk, develope and update statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
                                                                  • +
                                                                  • Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML program
                                                                  • +
                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                  • +
                                                                  • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                  • +
                                                                  • Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                                                                  -

                                                                  Your total gold cannot be reduced below zero, gold can only be gained once per room, and Paths can be used from either direction. Assuming you start in room A and exit in room D, determine the optimal route through the rooms to exit with the most treasure possible.

                                                                  -

                                                                  Your final answer must be the order of the rooms visited ie: ABC, ABD, etc.

                                                                  +

                                                                  Skills / Experience

                                                                  +

                                                                  Experience with statistical modeling and data science methods

                                                                  +

                                                                  Experience programming in Python, Scala, R and C++. Experience with databases such as Oracle or SQL Server
                                                                  AML/ATF (including ABAC) experience or analytical knowledge

                                                                  +

                                                                  Education

                                                                  +

                                                                  Master’s degree or higher in science, technology, engineering or mathematics

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  +

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-AI-and-Machine-Learning-ON-M5H1B6/565479817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T18:12:39.178Z,True,0,19,148,https://talenthub.vectorinstitute.ai/jobs/202420409-manager-ai-and-machine-learning-at-scotiabank,,expired,2023-03-07T18:12:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +44bcefa4-7aa8-4ee3-86d0-a61c4dd3f463,211705897,NVIDIA,"Solutions Architect, Conversational AI Technology",on_site,"Ontario, Canada",2023-04-03T17:42:04.425Z,"
                                                                  +

                                                                  NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. In particular we are looking for a candidate with understanding of modern Natural Language Processing (NLP), Automatic Speech Recognition (ASR) or Text To Speech (TTS) workflows. Exposure to inferencing technology (e.g. understanding of model compression techniques, model compilation or model serving) in the above mentioned space would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                  -
                                                                  -
                                                                  -
                                                                  ABDACDABCDACBD
                                                                  -
                                                                  -
                                                                  If you were to open a Shopify store, what would you sell and why (or tell us about your store if you have one!) (200 word limit)*
                                                                  -
                                                                  Any last thoughts? (ie. proud accomplishments, cool ideas, a joke, etc.) (200 word limit)*
                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  ",,https://www.shopify.com/careers/engineering-internships-fall-2024_61f3ac10-d485-4b03-8326-9fb949c22121?,feed-importer@jobboard.io,,,,2024-05-16T18:09:00.000Z,False,0,14,42,https://talenthub.vectorinstitute.ai/jobs/322316897-engineering-internships-fall-2024-at-shopify-inc,,expired,2024-05-10T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,No Degree,New Posting, -bf7ba520-f2f9-4afb-b444-2f03a0c0c680,321081367,BMO Financial Group,Machine Learning Engineer,on_site,"Ontario, Canada",2024-05-03T01:07:01.608Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  06/27/2024

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                                                  +

                                                                  You will be working with the latest HPC architectures coupled with bleeding edge NLP, ASR and TTS models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                  +

                                                                  +

                                                                  What You’ll Be Doing:

                                                                    -
                                                                  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                  • -
                                                                  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                  • -
                                                                  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                  • -
                                                                  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                  • -
                                                                  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                  • -
                                                                  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                  • -
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • -
                                                                  • Provides specialized consulting, analytical and technical support.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works independently and regularly handles non-routine situations.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.
                                                                  • +
                                                                  • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art NLP, ASR, TTS and broader Conversational AI software and hardware technologies to customers

                                                                  • +
                                                                  • Work directly with key customers to understand their technology and provide the best solutions

                                                                  • +
                                                                  • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                  • +
                                                                  • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

                                                                  • +
                                                                  • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                  • +
                                                                  • Work closely with customer\'s data science and IT teams

                                                                  -

                                                                  Qualifications:

                                                                  -

                                                                  Intermediate level of proficiency:

                                                                  +

                                                                  What We Need to See:

                                                                    -
                                                                  • Mathematics, statistics & operations research.
                                                                  • -
                                                                  • Deep learning.
                                                                  • -
                                                                  • Machine learning.
                                                                  • -
                                                                  • Trust, bias and ethics.
                                                                  • -
                                                                  • Creative thinking.
                                                                  • -
                                                                  • Critical thinking.
                                                                  • +
                                                                  • Excellent verbal, written communication, and technical presentation skills in English.

                                                                  • +
                                                                  • MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

                                                                  • +
                                                                  • 5+ years work or research experience with Python, C++ software development

                                                                  • +
                                                                  • A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                  • +
                                                                  • Work experience and knowledge or modern NLP, ASR or TTS.

                                                                  • +
                                                                  • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                  • +
                                                                  • Capable of working in a rapidly changing environment without losing focus.

                                                                  • +
                                                                  • Ability to multitask effectively in a fast-paced environment.

                                                                  • +
                                                                  • Action-oriented with strong analytical and problem-solving skills.

                                                                  • +
                                                                  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

                                                                  • +
                                                                  • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team

                                                                  -

                                                                  Advanced level of proficiency:

                                                                  +

                                                                  +

                                                                  Ways to Stand Out from The Crowd:

                                                                    -
                                                                  • Big data.
                                                                  • -
                                                                  • Data visualization.
                                                                  • -
                                                                  • Computational thinking and programming.
                                                                  • -
                                                                  • Data wrangling.
                                                                  • -
                                                                  • Data preprocessing.
                                                                  • -
                                                                  • Creative reasoning.
                                                                  • -
                                                                  • Verbal & written communication skills.
                                                                  • -
                                                                  • Collaboration & team skills.
                                                                  • -
                                                                  • Analytical and problem solving skills.
                                                                  • -
                                                                  • Influence skills.
                                                                  • -
                                                                  • Data driven decision making.
                                                                  • -
                                                                  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                  • -
                                                                  • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                  • +
                                                                  • Experience running large scale distributed DL training.

                                                                  • +
                                                                  • Background with working with larger transformer based architectures for NLP, CV, ASR or other.

                                                                  • +
                                                                  • Experience applying NLP, ASR, TTS technology and its deployment to production.

                                                                  • +
                                                                  • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                  • +
                                                                  • Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

                                                                  -
                                                                  -

                                                                  -

                                                                  Compensation and Benefits:

                                                                  -
                                                                  $81,600.00 - $151,200.00

                                                                  -

                                                                  Pay Type:

                                                                  Salaried

                                                                  -

                                                                  The above represents BMO Financial Group’s pay range and type.

                                                                  -

                                                                  -

                                                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                  -

                                                                  -

                                                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Machine-Learning-Engineer_R240012008?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-02T15:36:28.697Z,False,0,16,129,https://talenthub.vectorinstitute.ai/jobs/321081367-machine-learning-engineer-at-bmo-financial-group,,expired,2024-05-03T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -3c9741ce-6632-406a-802c-fedf01253f94,321083476,Google,"Software Developer III, Computer Vision/Infrastructure, AR",on_site,"Toronto, ON, Canada",2024-05-03T01:13:02.570Z,"
                                                                  -
                                                                  -

                                                                  Software Developer III, Computer Vision/Infrastructure, AR

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                                                                  Mid

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                                                                  Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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                                                                  Minimum qualifications:

                                                                  -
                                                                    -
                                                                  • Bachelor’s degree or equivalent practical experience.
                                                                    -
                                                                  • -
                                                                  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                                                                    -
                                                                  • -
                                                                  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
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                                                                  Preferred qualifications:

                                                                  -
                                                                    -
                                                                  • Master\'s degree or PhD in Computer Science or related technical field.
                                                                  • -
                                                                  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning.
                                                                  • -
                                                                  • 2 years of experience with computer vision algorithms and tools (e.g., OpenCV), image and video processing, multi-view geometry.
                                                                  • -
                                                                  • 1 year of experience in graphics and rendering.
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                                                                    Experience designing and developing image/video processing pipelines and implementing quality control procedures.
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                                                                  -

                                                                  About the job

                                                                  -

                                                                  Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                  -

                                                                  In the Google AR Perception team, the goal is to build novel algorithms at the intersection of real-time computer vision, novel sensing and applied machine learning to enable next generation perception capabilities. As a computer vision infrastructure developer, you will help scale the team’s efforts by building critical infrastructure/tooling/pipelines while working with researchers and bleeding edge technology in the areas of body, face, and hand tracking.

                                                                  -

                                                                  Google is a developing company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology\'s greatest challenges and make an impact on users around the world. At Google, developers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google developers are changing the world one technological achievement after another.

                                                                  -
                                                                  -
                                                                  -

                                                                  Responsibilities

                                                                  -
                                                                    -
                                                                  • Design and develop infrastructure/pipelines to build end-to-end perception systems. Depending on the specific project, this may involve training and evaluating deep learning models, data processing, and productionization of prototype systems.
                                                                    -
                                                                  • -
                                                                  • Optimize algorithms run-time efficiency and integrate in the product platform.
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                                                                  • -
                                                                  • Write production-quality C++, Python code and tests.
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                                                                  Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                  -

                                                                  Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                  -

                                                                  If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                  -

                                                                  Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                  -

                                                                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                  -
                                                                  -
                                                                  ",,https://www.google.com/about/careers/applications/jobs/results/113242708673209030-software-developer-iii-computer-visioninfrastructure-ar?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-02T15:40:50.249Z,False,0,28,107,https://talenthub.vectorinstitute.ai/jobs/321083476-software-developer-iii-computer-vision-infrastructure-ar-at-google,,expired,2024-05-03T01:13:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -a19f8c4a-fea7-4f80-ba5b-1da2f731f66d,321636455,University Health Network,Data Science Specialist,on_site,"Toronto, ON, Canada",2024-05-06T16:50:22.477Z,"

                                                                  Company Description

                                                                  -

                                                                  The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground-breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

                                                                  -

                                                                  Job Description

                                                                  -

                                                                  Union: Non-Union
                                                                  Site: Toronto General Hospital
                                                                  Department: AI Hub
                                                                  Reports to: Principal Investigator
                                                                  Work Model: Hybrid
                                                                  Grade: N0:10
                                                                  Hours: 37.5 hours per week
                                                                  Salary: $43.11 to $53.89 hourly.
                                                                  Status: Temporary Full Time (1 year)
                                                                  Shifts: Day
                                                                  Closing Date: May 31, 2024

                                                                  -

                                                                  Position Summary
                                                                  We are looking for a Data Science Specialist with health care and machine learning experience to join our University Health Network (UHN) Collaborative Centre for Artificial Intelligence (AI) and Data Science to work with the cancer program. The UHN AI Hub brings together scientists and clinicians from across UHN working to develop and implement safe and responsible applications of AI to improve health care. This role involves working in close collaboration with care providers, researchers and students to build deep expertise and advance novel applications of artificial intelligence and machine learning (ML) methods to facilitate research and translation into clinical practice.

                                                                  -

                                                                  The Data Science Specialist will design and develop highly sophisticated ML software solutions, platforms and methodologies to support high priority initiatives with cutting edge AI technology within the UHN network. The Data Science Specialist works closely with the Chief AI Scientist and team to apply AI methods to solve complex health related questions, improve hospital efficiency and develop new research hypotheses. Primary responsibilities include, but are not limited to, working with large datasets, preprocessing, cleaning and organizing data for analysis, developing and implement NLP models, performing quality assurance testing, support and maintenance of new and existing applications. The Data Science Specialist will collaborate with oncology clinicians and scientists to analyze and interpret various data modalities such as imaging, clinical medical record data, signal processing and genomic data. The Data Science Specialist will possess strong technical proficiency, creativity, and strong collaborative skills to contribute towards furthering AI capacity and innovation within UHN.

                                                                  -

                                                                  Duties

                                                                  +
                                                                  ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Reading/Solutions-Architect--Conversational-AI-Technology_JR1965377,feed-importer@jobboard.io,,,,2023-04-06T17:47:03.358Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/211705897-solutions-architect-conversational-ai-technology-at-nvidia,,expired,2023-04-03T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +a348979b-1a9f-4221-b611-96708e13df77,211705896,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-04-03T17:42:04.333Z,"
                                                                  +

                                                                  NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                                                  +

                                                                  +

                                                                  You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                                                  +

                                                                  +

                                                                  What You’ll Be Doing:

                                                                    -
                                                                  • -Data Processing and Analysis: Working with large datasets of oncology data. This involves preprocessing, cleaning, and organizing data for analysis as well as systematic exploration of high-dimensional data to identify new computational approaches and Integrative analysis of multiple data types.
                                                                  • -
                                                                  • -Model Development and Implementation: Develop and implement NLP models to extract insights from biological data. This could include text mining from scientific literature to identify current trends and the latest discoveries. Interpret and communicate technical results and methods clearly and interact cross-functionally with a wide variety of people and teams.
                                                                  • -
                                                                  • -Algorithm Optimization: Fine-tune algorithms for specific tasks, like sequence alignment, gene expression pattern recognition, and variant calling.
                                                                  • -
                                                                  • -Collaborative Research: Work closely with biologists and clinicians to understand their data needs and translate these into computational tasks.
                                                                  • -
                                                                  • -Publishing and Documentation: Regularly document your findings and methodologies. Publish in peer-reviewed journals and present at conferences.
                                                                  • -
                                                                  • -Grant Writing: Assist in writing grant proposals for funding research projects.
                                                                  • -
                                                                  • -Mentoring and Supervision: Guide junior researchers or students in their projects, providing expertise in oncology data analysis.
                                                                  • +
                                                                  • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                                                  • +
                                                                  • Work directly with key customers to understand their technology and provide the best solutions.

                                                                  • +
                                                                  • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                                                  • +
                                                                  • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                                                  • +
                                                                  • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                                                  -

                                                                  Qualifications

                                                                  +

                                                                  +

                                                                  What We Need to See:

                                                                    -
                                                                  • Master’s Degree required, PhD would be an asset, in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines.
                                                                  • -
                                                                  • Minimum 6 years related experience required.
                                                                  • -
                                                                  • Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems.
                                                                  • -
                                                                  • Experience with developing and implementing ML and NLP models.
                                                                  • -
                                                                  • Experience with Python (scikit-learn, Pandas, etc.) and deep learning frameworks (TensorFlow or PyTorch)
                                                                  • -
                                                                  • Experience with healthcare data types, topics, and scientific challenges and approaches.
                                                                  • -
                                                                  • Familiarity with HPC environment and running applications in HPC clusters.
                                                                  • -
                                                                  • Demonstrate ability to mentor others and work collaboratively with clinicians.
                                                                  • +
                                                                  • Excellent verbal, written communication, and technical presentation skills in English.

                                                                  • +
                                                                  • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                                                  • +
                                                                  • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                                                  • +
                                                                  • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                                                  • +
                                                                  • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                                                  -

                                                                  Additional Information

                                                                  -

                                                                  Why join UHN?

                                                                  -

                                                                  In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

                                                                  +

                                                                  +

                                                                  Ways to Stand Out from The Crowd:

                                                                    -
                                                                  • Competitive offer packages
                                                                  • -
                                                                  • Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/) -
                                                                  • -
                                                                  • -Cl... access to Transit and UHN shuttle service
                                                                  • -
                                                                  • A flexible work environment
                                                                  • -
                                                                  • Opportunities for development and promotions within a large organization
                                                                  • -
                                                                  • Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)
                                                                  • -
                                                                  -

                                                                  Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

                                                                  -

                                                                  All applications must be submitted before the posting close date.

                                                                  -

                                                                  UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.

                                                                  -

                                                                  Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

                                                                  -

                                                                  All UHN Employees are required to be fully vaccinated with a COVID-19 vaccine series, approved by Health Canada or the World Health Organization, as a condition of hire. Proof of COVID-19 vaccination will be required. Should you be the successful candidate, you will be required to comply with UHN’s mandatory Vaccination Policy that is in effect.

                                                                  -

                                                                  UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

                                                                  -

                                                                  We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

                                                                  ",,https://jobs.smartrecruiters.com/UniversityHealthNetwork/743999984186127-data-science-specialist,aitalent@vectorinstitute.ai,,,,2024-06-03T22:27:00.000Z,False,0,29,216,https://talenthub.vectorinstitute.ai/jobs/321636455-data-science-specialist-at-university-health-network,,expired,2024-05-06T16:50:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Senior Level,Masters Degree,New Posting, -38ac7106-137c-478b-8ef5-7c757c4d4416,325835710,BMO Financial Group,"Manager, Business Insights & Analytics, Private Wealth",on_site,"Ontario, Canada",2024-05-28T01:07:02.003Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  05/30/2024

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  +
                                                                • Experience running large scale distributed DL training.

                                                                • +
                                                                • Background with working with larger transformer-based architectures.

                                                                • +
                                                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                                                • +
                                                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                                                • +

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                                                  -
                                                                    -
                                                                  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                                                  • -
                                                                  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                                                                  • -
                                                                  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                  • -
                                                                  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                                                  • -
                                                                  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                                                  • -
                                                                  • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                  • -
                                                                  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                  • -
                                                                  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                  • -
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.
                                                                  • -
                                                                  +
                                                                  ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-04-06T17:47:03.358Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/211705896-senior-ai-solutions-architect-at-nvidia,,expired,2023-04-03T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +672d1a4a-3dcc-4422-a030-84e091a2d7f6,203172183,Scotiabank,"Senior Engineer, Analytics DevOps",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.730Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 175354

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose:

                                                                  +


                                                                  As a Analytics DevOps Senior Engineer, your responsibility will be to write scripts to manage and automate MLOps and DevOps for analytics deployment of software releases. You will evaluate the latest MLOps solutions to optimize our MLOps platform.

                                                                  +

                                                                  +

                                                                  Accountabilities:

                                                                  +


                                                                  • Design, create and deliver a range of MLOPs Build Automation and Deployment solutions on GCP.

                                                                  +

                                                                  • You will work as part of the team that manages and delivers Software solutions for analytics teams to deliver advanced analytics solutions.

                                                                  +

                                                                  • Automate and streamline our operations and processes. You`ll support building and maintaining tools for deployment, monitoring and operations.

                                                                  +

                                                                  • Design, automate, build and operate analytics enablement on GCP.

                                                                  +

                                                                  • Work with the existing Analytics team members to design and implement MLOps and data engineering solutions.

                                                                  +

                                                                  +


                                                                  Requirements & Qualifications:

                                                                  +

                                                                  +

                                                                  • Strong knowledge of Python required.
                                                                  • Hands-on with Spark and pySpark.
                                                                  • Passion to continual learn new and changing technologies.
                                                                  • Strong self-leaning skills as we work with many new technologies.
                                                                  • Highly proficient working with business stakeholders and project teams to deliver solutions.
                                                                  • GCP experience a strong asset.
                                                                  • Working knowledge of docker.
                                                                  • Modern DevOps practices .
                                                                  • Previous experience with Git and Gitflow.
                                                                  • Comfortable presenting to large groups.

                                                                  +

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-08T20:24:54.517Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/203172183-senior-engineer-analytics-devops-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +748d993f-e196-4a9f-9fc1-eef2023ec568,205318967,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-03-16T17:24:05.387Z,"
                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  +

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  +

                                                                  -

                                                                  Qualifications:

                                                                  -

                                                                  Foundational level of proficiency:

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                  +

                                                                  Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                  +

                                                                  What are your main responsibilities?

                                                                    -
                                                                  • Technical design optimization.
                                                                  • -
                                                                  • Decision Making.
                                                                  • -
                                                                  • Systems Thinking.
                                                                  • -
                                                                  • Data visualization.
                                                                  • -
                                                                  • Data storytelling.
                                                                  • -
                                                                  • Data mining.
                                                                  • -
                                                                  • Illustration.
                                                                  • -
                                                                  • Creative thinking.
                                                                  • -
                                                                  • Problem Solving.
                                                                  • -
                                                                  • Self-motivated, and attention to details.
                                                                  • +
                                                                  • Own and ship product features that enable ML engine capabilities
                                                                  • +
                                                                  • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                  • +
                                                                  • Work with research scientists and MLOps team to maintain service product.
                                                                  -

                                                                  Intermediate level of proficiency:

                                                                  +
                                                                  +

                                                                  +

                                                                  Requirements

                                                                  +
                                                                  +Must-Have:

                                                                    -
                                                                  • Typically 5+ years of relevant experience in data analytics role.
                                                                  • -
                                                                  • Proficient in analytical programming language (e.g., SAS, SQL, Python, VBA)
                                                                  • -
                                                                  • Proficient in the creation of Power BI Dashboard for visualization and reporting purposes.
                                                                  • +
                                                                  • Experience with building and scaling data-intensive software.
                                                                  • +
                                                                  • You value good software design and sweat over details in code and API design.
                                                                  • +
                                                                  • You enjoy learning new technology and also educating others.
                                                                  • +
                                                                  • You take great personal pride in building robust and scalable software.
                                                                  • +
                                                                  • You strive to communicate clearly and with empathy.
                                                                  • +
                                                                  • You are highly accountable and have a strong sense of ownership.
                                                                  • +
                                                                  • Ability to do detailed code reviews and give thoughtful feedback.
                                                                  -
                                                                  -

                                                                  -

                                                                  Compensation and Benefits:

                                                                  -
                                                                  $54,500.00 - $101,500.00

                                                                  -

                                                                  Pay Type:

                                                                  Salaried

                                                                  -

                                                                  The above represents BMO Financial Group’s pay range and type.

                                                                  +

                                                                  Nice to have

                                                                  +

                                                                  Experience building a library or a framework.
                                                                  Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                  Comfortable with statistics.
                                                                  Knowledge of machine learning algorithms.
                                                                  Knowledge of distributed systems.

                                                                  +

                                                                  -

                                                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  #LI-Hybrid

                                                                  -

                                                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Business-Insights---Analytics_R240011023?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-03T22:28:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/325835710-manager-business-insights-analytics-private-wealth-at-bmo-financial-group,,expired,2024-05-28T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -f4a2b504-77b3-4405-bf2b-9833f87a7b75,325836730,OMERS,"Quantitative Analyst, Portfolio Analytics",on_site,"Ontario, Canada",2024-05-28T01:36:02.791Z,"
                                                                  -

                                                                  Why join us?

                                                                  -

                                                                  -

                                                                  Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                  At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5

                                                                  -

                                                                  Quantitative Analyst, Portfolio Analytics

                                                                  -

                                                                  OMERS Total Portfolio Management manages the public markets investment portfolio consisting of fixed income (including government bonds, Inflation-Linked Bonds and public and private credit) and equities, including global public equities, intellectual property and structured investments. The team’s approach is focused on generating current income from high-quality assets and generating a consistent capital return with a lower volatility than the broad markets. We also seek to develop strategic partnerships with best-in-class investors to access credit and other opportunities on a global basis. The OMERS Capital Markets\' team is distinguished by its diversity in expertise and experience and its commitment to reliable, lower-risk performance. Our objective is to construct a well-diversified portfolio that will deliver long-term annualized returns in the 6 to 9% range.

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -

                                                                  Job Description

                                                                  -

                                                                  As a member of the OMERS Total Portfolio Management (TPM) team in Toronto, reporting to the Director, Head of Portfolio Analytics, you will contribute and lead our transformation of how Capital Markets improves investment decision making through data driven insights.

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-10T17:29:02.988Z,False,0,8,32,https://talenthub.vectorinstitute.ai/jobs/205318967-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-03-16T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e47fa44a-1de8-4557-88ab-c316de8fd26a,210219317,RBC,"Manager, Cards Analytics and Insights",on_site,"Toronto, ON, Canada",2023-03-30T17:16:02.224Z,"
                                                                  +

                                                                  Come Work with Us!

                                                                  At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                  Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                  +

                                                                  Job Title

                                                                  Manager, Cards Analytics and Insights

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  +

                                                                  What is the opportunity?

                                                                  +

                                                                  RBC is currently recruiting for a Manager role for the Cards, Payments and Banking team. Your responsibilities will include:

                                                                  +
                                                                    +
                                                                  • Providing end-to-end analytics advisory services including conceptualizing business questions, designing and executing analytics framework and recommending and influencing the credit card business for decision making purpose

                                                                  • +
                                                                  • Identifying underlying business trends using analytical tools and transforming them into actionable insights

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                  +
                                                                    +
                                                                  • Act as a subject matter expert regarding analytics / data science topics (e.g. data visualization, storytelling, KPI definition, statistical analysis, predictive modelling etc.).

                                                                  • +
                                                                  • Support business growth targets by understanding business needs and providing concise, insightful and timely analytics of key trends through interpretation of interplays between portfolio / business performance, costs and business strategy.

                                                                  • +
                                                                  • Assist Senior Manager and collaborate with business partners in rapid identification, prioritization and deployment of analytics to define new potential business opportunities and to support decisions through the provision of industry and competitor data.

                                                                  • +
                                                                  • Participate in cross-functional teams through the analytics process to make sound information-based decisions and develop robust measures to effectively identify, mitigate and monitor risks and opportunities.

                                                                  • +
                                                                  • Present and defend analysis and recommendations to a wide range of stakeholders and senior key decision makers.

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  What do you need to succeed?

                                                                  +

                                                                  Must have:

                                                                  +
                                                                    +
                                                                  • At least two previous work term experiences in clients, product, marketing or risk analytical or reporting role; Experiences in supporting credit card business and/or financial services industry an asset

                                                                  • +
                                                                  • Programming experience to extract data and complete complex analytics. SAS / SQL required. R, Python, etc. preferred

                                                                  • +
                                                                  • Instinctive curiosity and strategic mindset to drill into the analytics to understand business drivers and predict business growth and the technical ability to apply this knowledge to resolve complex business questions

                                                                  • +
                                                                  • Proven ability to communicate clearly and concisely to all levels of the company. Strong skills in presentation and story telling

                                                                  • +
                                                                  • A hunger for continued development and learning

                                                                  • +
                                                                  +

                                                                  +

                                                                  Nice to have:

                                                                  +
                                                                    +
                                                                  • Knowledge in Hadoop, Google Analytics and Big Data environment

                                                                  • +
                                                                  • Advance degree in quantitative discipline

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +

                                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  +
                                                                    +
                                                                  • Ability to make a difference and lasting impact

                                                                  • +
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                  • +
                                                                  • Opportunities to do challenging work

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  Address:

                                                                  TORONTO, Ontario, Canada

                                                                  City:

                                                                  CAN-ON-TORONTO

                                                                  Country:

                                                                  Canada

                                                                  Work hours/week:

                                                                  37.5

                                                                  Employment Type:

                                                                  Full time

                                                                  Platform:

                                                                  Personal and Commercial Banking

                                                                  Job Type:

                                                                  Regular

                                                                  Pay Type:

                                                                  Salaried

                                                                  Posted Date:

                                                                  2023-03-27

                                                                  Application Deadline:

                                                                  2023-04-10
                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                  ​​​​​​​
                                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                  +
                                                                  +

                                                                  Join our Talent Community

                                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                  +
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000054780/Manager-Cards-Analytics-and-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-10T17:21:02.964Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/210219317-manager-cards-analytics-and-insights-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +dc884621-868b-4671-be9e-33090060c59b,212880722,TD Bank Group,Bus Application Analyst III,on_site,"Toronto, ON",2023-04-06T17:24:04.289Z,"
                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  +

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  +

                                                                  -

                                                                  As a Quantitative Analyst, Portfolio Analytics, at OMERS Total Portfolio Management, you will be part of a team that are building world-class analytics and quantitative tools. The role provides the successful candidate with the opportunity to work closely with the Global Credit team, where you will develop and grow your understanding of quantitative and technical tools that drive the development of the systematic components of portfolio management.

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  +

                                                                  Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

                                                                  +

                                                                  We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

                                                                  +

                                                                  Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

                                                                  +

                                                                  If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

                                                                  +

                                                                  -

                                                                  As a member of the Total Portfolio Management team, you will be responsible for the following:

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  +

                                                                  About this Role

                                                                  +

                                                                  Are you a conceptual and analytical thinker, at ease working on your own or together with a team? In this professional role you will provide specialized business application management guidance and support for a designated functional area. You’ll be responsible for gathering requirements related with the application lifecycle, business testing and process documentation as well as end-user support of the business applications.

                                                                  +

                                                                  As a Business Application Analyst III, you will:

                                                                    -
                                                                  • Developing analytics, tools and processes required to manage diverse flavours of data

                                                                  • -
                                                                  • Applying quantitative skills to systematically ensure high data quality

                                                                  • -
                                                                  • Developing, structuring and querying SQL databases

                                                                  • -
                                                                  • Developing and maintaining daily, systematic processes required for Global Credit’s portfolio

                                                                  • -
                                                                  • Building credit instrument pricing engines to facilitate daily portfolio management, back-testing and stress-testing

                                                                  • -
                                                                  • Working closely with IT to establish new ETLs and optimize existing ETL

                                                                  • -
                                                                  • Effectively communicate highly technical subject matter to Global Credit Portfolio Managers

                                                                  • -
                                                                  • Communicating and working regularly with traders, portfolio managers, internal and external managers, and operations staff to gain a holistic view on quantitative portfolio management as it relates to Global Credit

                                                                  • +
                                                                  • Bring advanced knowledge of applications management, supported by your team, including system components, functionality, interfaces, data flows and business rules
                                                                  • +
                                                                  • Provide functional business application management program support within an area of specialty
                                                                  • +
                                                                  • Elicit, analyze, document, communicate, and manage requirements/user stories with stakeholders and pod members by applying a variety of elicitation techniques to probe, challenge, and understand requirements according to the requirements management discipline and alignment to TD standards/processes, industry best practices and NEW Agile @ Scale framework
                                                                  • +
                                                                  • Identify, document, and validate current state processes and work with stakeholders to design the desire future state
                                                                  • +
                                                                  • Lead requirements management from high level, mid level to detailed level business requirements (including business use cases/scenarios, business rules, business process maps, customer data flows, themes/initiatives) and translate business requirements into detailed functional specifications considering non-functional requirements and accessibility standards (i.e., epics, stories, tasks, etc.)
                                                                  • +
                                                                  • Support PO in the development of story map and creation of epics and spikes/enablers that require additional technical expertise
                                                                  • +
                                                                  • Lead and facilitate user story refinement ceremonies
                                                                  • +
                                                                  • Bridge the communication between PO and development/QE members, and lead the delivery of requirements/user stories across the pod
                                                                  • +
                                                                  • Active participation in all POD ceremonies including PI Planning, Sprint Planning, Daily Standups, End of Sprint Demo/showcases, and Retrospectives
                                                                  • +
                                                                  • Establish and maintain full requirements traceability (Feature > HLR > Epic > WFs > detailed level User Stories)
                                                                  • +
                                                                  • Collaborate with PO, DCX, risk and technology partners to refine, estimate, prioritize and break down user stories into consumable size (i.e., completed within one sprint)
                                                                  • +
                                                                  • Proactively identify, communicate, and track requirement risks, issues, assumptions, dependencies, constraints
                                                                  • +
                                                                  • Provide recommendation to support the development of system design, test plans, and necessary artifacts to ensure business needs are met
                                                                  • +
                                                                  • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                                                  • +
                                                                  • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                                                  • +
                                                                  • Provide sound technical knowledge and foundational understanding of the various components of the applications, supported by the team in relation to system components, functionality, interfaces, data flows and business rules (ex. UI, native vs web based, API, mid-tier/backend)
                                                                  +

                                                                  -

                                                                  You bring the following skills and qualifications:

                                                                  +

                                                                  Requirements

                                                                  +
                                                                  +What can you bring to TD?

                                                                  +

                                                                  Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                    -
                                                                  • Bachelor’s degree in Computer Science, Mathematics, Business, or related field.

                                                                  • -
                                                                  • Familiarity with Python and SQL is required

                                                                  • -
                                                                  • Experience working within a credit investment team is an asset

                                                                  • -
                                                                  • Experience with data engineering and/or data quality assurance is an asset

                                                                  • -
                                                                  • Experience with data visualization such as Plotly is an asset

                                                                  • -
                                                                  • Experience with Power BI (or equivalence dashboarding tool) is preferred

                                                                  • -
                                                                  • Experience with financial tools or software e.g. Bloomberg, CRD.

                                                                  • -
                                                                  • A passion around learning new technologies and analytical techniques

                                                                  • -
                                                                  • Strong attention to detail, highly organized and keen to learn

                                                                  • -
                                                                  • Ability to work independently and within a team

                                                                  • -
                                                                  • An action-oriented approach with a high degree of initiative and ability to deliver results

                                                                  • -
                                                                  • Strong written and verbal communication skills

                                                                  • -
                                                                  • Highly developed interpersonal and relationship management skills

                                                                  • +
                                                                  • Undergraduate degree or technical certificate
                                                                  • +
                                                                  • Three (3) or more years relevant business analysis experience
                                                                  • +
                                                                  • Expert knowledge of business-supported applications and PDLC/Agile methodology along with policies, procedures and practices, competitors, and market trends
                                                                  • +
                                                                  • Proficiency in using analytical software tools, MS Office, process modeling, data analysis methods and reporting techniques, and Atlassian (Confluence, Jira, and its installed add-ons)
                                                                  • +
                                                                  • Ardent to work multi-functionally and independently, communicate (both in speaking and writing), provide direction or assistance and build positive working relationships across teams and functions through strong analytical and problem-solving skills
                                                                  +

                                                                  -

                                                                  Challenges and Opportunities:

                                                                  -
                                                                    -
                                                                  • The role involves using highly sensitive information for making business decisions.

                                                                  • -
                                                                  • Candidates must be able to prioritize multiple tasks to complete deliverables in a timely fashion.

                                                                  • -
                                                                  • The role could require occasional conversation with our Asia trading team as we develop more analytics.

                                                                  • -
                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/18096901/bus-application-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-10T17:29:02.988Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/212880722-bus-application-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18096901/bus-application-analyst-iii-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +6ad081d8-4dc1-46b5-9bd4-82cfa690d047,212877130,CIBC,"Data Analyst, Alternate Solutions Group",on_site,"Ontario, Canada",2023-04-06T17:06:02.833Z,"
                                                                  +

                                                                  We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                  +

                                                                  +

                                                                  At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                  +

                                                                  +

                                                                  To learn more about CIBC, please visit CIBC.com

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  +

                                                                  What You’ll Be Doing

                                                                  +

                                                                  CIBC ASG, the Alternate Solutions Group, comprises several direct, digital banking businesses, including Global Money Transfer and Simplii Financial – CIBC’s Canadian digital banking brand. It is an innovative and fast moving branch of the CIBC Capital Markets group.

                                                                  +

                                                                  The ASG Analytics team supports these businesses by producing data analysis and modelling to increase operational efficiency, improve client experience and drive revenue.

                                                                  +

                                                                  You will work closely with our business and technology partners in ASG to understand the business initiatives and produce end-to-end analytics solutions, taking models from experiment to deployment.

                                                                  +

                                                                  At CIBC we enable the work environment most optimal for you to thrive in your role Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                  +

                                                                  +

                                                                  How You’ll Succeed

                                                                  +

                                                                  Expertise: You will utilize your knowledge of machine learning and finance to frame and solve business problems using predictive and prescriptive analytics. You will draw on familiarity of multiple ML domains such as classification, regression, time-series forecasting, recommender systems, reinforcement learning and causal inference. You will grow in the role, keeping up to date with developments in the field of finance and machine learning. You will build analytics products by writing code that is reliable, reproduceable and maintainable

                                                                  +

                                                                  Communication: You will engage with business partners and asking the right questions to understand their challenges. You’ll be able to formulate and communicate solutions in an accessible way, and answer questions and concerns brought up by our partners.

                                                                  +

                                                                  Partnership: You will collaborate with the other members of the analytics team and bring your own perspectives to their problems and be open to suggestions on the best approaches for your own work. Together we will drive the success of the team.

                                                                  -

                                                                  OMERS is offering:

                                                                  +

                                                                  Who You Are

                                                                  +

                                                                  You have deep quantitative knowledge, preferably with a graduate degree in computer science, engineering, statistics or other scientific or mathematical discipline, or equivalent experience.

                                                                  +

                                                                  You have 3 years work experience in analytical roles, including experience with data wrangling and programming skills to access, transform and prepare large datasets.

                                                                  +

                                                                  You also have a forward-looking, results-oriented approach to building out insights from data and analytics, and a history and track record of end-to-end responsibility for growing businesses with those insights.

                                                                  +

                                                                  You have extensive knowledge of:

                                                                    -
                                                                  • An Inclusive work environment which celebrates diversity

                                                                  • -
                                                                  • Growth and development opportunities

                                                                  • -
                                                                  • Competitive compensation and benefits

                                                                  • -
                                                                  • Collaborative, innovative, and focused approach with high quality investments

                                                                  • +
                                                                  • Writing complex queries in SQL and working with data warehouses

                                                                  • +
                                                                  • Python programming

                                                                  • +
                                                                  • Software development tools, IDEs and Git for version control

                                                                  • +
                                                                  • Knowledge of data visualization tools such as Tableau and Power BI

                                                                  -

                                                                  -

                                                                  -

                                                                  Our story:

                                                                  -

                                                                  Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                  -

                                                                  -

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  -
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Quantitative-Analyst--Portfolio-Analytics_JR-6189?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-06-03T22:29:00.000Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/325836730-quantitative-analyst-portfolio-analytics-at-omers,,expired,2024-05-28T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -7d971499-a738-400a-b30d-3395d5fca413,325526588,OMERS,"Senior Data Analyst, Investment Finance & Valuations",on_site,"Ontario, Canada",2024-05-26T01:36:04.265Z,"
                                                                  -

                                                                  Why join us?

                                                                  -

                                                                  -

                                                                  Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                  At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                  -

                                                                  The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance team. The role will with lead various data analytics initiatives and deliver innovative solutions to Investment Finance and partner divisions. To succeed in this role, the ideal individual needs a strong attention to detail, have experience leading data analysts, and have a proven ability to build relationships between the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                  -

                                                                  -

                                                                  Responsibilities:

                                                                  +

                                                                  Also beneficial:

                                                                    -
                                                                  • -Design and develop comprehensive dashboards and reporting leveraging Power BI or similar business intelligence tools
                                                                  • -
                                                                  • Work across functional areas to understand and identify reporting objectives to develop relevant reporting capabilities -
                                                                  • -
                                                                  • -Collaborate with data engineers to ensure the availability and quality of data for analysis -
                                                                  • -
                                                                  • -Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting
                                                                  • -
                                                                  • Effectively communicate complex analytical findings to non-technical stakeholders, and prepare and deliver comprehensive reports and presentations -
                                                                  • -
                                                                  • -Evaluate and recommend new tools and technologies for data analysis and be well acquainted with current industry trends and advancements in data analytics
                                                                  • -
                                                                  • -Lead data-focused projects, collaborating with cross-functional teams to ensure successful project delivery
                                                                  • -
                                                                  • Contribute to the development and implementation of data governance policies and procedures.
                                                                  • -
                                                                  • -Lead and mentor the Data Analysts, and provide guidance on best practices, methodologies, and tools for data analysis
                                                                  • +
                                                                  • Understanding of Docker and Kubernetes

                                                                  • +
                                                                  • Exposure to big data frameworks (PySpark, SparkML)

                                                                  • +
                                                                  • Machine learning libraries (pandas, scikit-learn, xgboost)

                                                                  • +
                                                                  • ML/AI Frameworks (Pytorch or Tensorflow)

                                                                  • +
                                                                  • Exposure to financial data, especially foreign exchange data

                                                                  -

                                                                  Qualifications:

                                                                  +

                                                                  What CIBC offers

                                                                  +

                                                                  At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  +
                                                                    +
                                                                  • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                                                  • +
                                                                  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                  • +
                                                                  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  What you need to know

                                                                    -
                                                                  • -5+ years of proven experience as a data analyst in financial management and investment support environment
                                                                  • -
                                                                  • -Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Science, or similar discipline
                                                                  • -
                                                                  • Advanced proficiency with Power BI and other data visualization tools -
                                                                  • -
                                                                  • Strong proficiency in data analysis tools, such as Alteryx, Python, R or similar
                                                                  • -
                                                                  • Strong SQL skills for data extraction and management, and familiarity with Azure technologies
                                                                  • -
                                                                  • Strong knowledge of statistical methods and data visualization techniques -
                                                                  • -
                                                                  • Familiarity with machine learning algorithms and techniques and experience implementing predictive models
                                                                  • -
                                                                  • Strong attention to detail and accuracy with the ability to identify and solve data errors within a data governance framework
                                                                  • -
                                                                  • Excellent communication and presentation skills (written and verbal) to effectively convey complex findings and technical concepts to non-technical stakeholders
                                                                  • -
                                                                  • Demonstrated ability to lead and mentor a team with strong project management skills
                                                                  • -
                                                                  • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment
                                                                  • +
                                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                  • +
                                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  -

                                                                  -

                                                                  Our story:

                                                                  -

                                                                  Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                  -

                                                                  -

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  -
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Data-Analyst--Investment-Finance---Valuations_JR-5905?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-06-06T19:37:00.000Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/325526588-senior-data-analyst-investment-finance-valuations-at-omers,,expired,2024-05-26T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -13849af9-5b9b-4899-9392-a78c83e565f7,323518208,BenchSci,"Senior Machine Learning Engineer, NLP - (Remote)",full,"Toronto, Ontario Remote",2024-05-16T16:40:01.696Z,"
                                                                  +

                                                                  Job Location

                                                                  Toronto-161 Bay St., 4th

                                                                  Employment Type

                                                                  Regular

                                                                  +

                                                                  Weekly Hours

                                                                  37.5

                                                                  Skills

                                                                  +

                                                                  +
                                                                  ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Data-Analyst--Alternate-Solutions-Group_2305380?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-10T17:11:02.834Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/212877130-data-analyst-alternate-solutions-group-at-cibc,,expired,2023-04-06T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d6a15c31-eead-4b95-ab7d-fb8ef232f972,222295545,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-05-04T17:39:05.921Z,"
                                                                  We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                                                                  +

                                                                  You will:

                                                                  +
                                                                      +
                                                                    • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                                                                    • +
                                                                    • Work on different stages of the problem from prototyping to production
                                                                    • +
                                                                    • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                                                                    • +
                                                                    • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                                                                    • +
                                                                    • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                                                                    • +
                                                                    • Advocate for code and engineering process improvements across your team, and help define best practices
                                                                    • +
                                                                    • Participate in sprint planning, estimations, and reviews
                                                                    • +
                                                                    • Work with teammates to ensure high-quality deliverables
                                                                    • +
                                                                  +
                                                                  +

                                                                  You have:

                                                                  +
                                                                      +
                                                                    • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                                                                    • +
                                                                    • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                                                                    • +
                                                                    • Excellent software engineering skills in Python
                                                                    • +
                                                                    • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                                                                    • +
                                                                    • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                                                                    • +
                                                                    • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                                                                    • +
                                                                    • A constant desire to develop
                                                                    • +
                                                                    • A team player who strives to see teammates succeed together
                                                                    • +
                                                                  +
                                                                  +

                                                                  +

                                                                  +
                                                                  Benefits and Perks:
                                                                  +
                                                                  An engaging remote-first culture
                                                                  +
                                                                  A great compensation package that includes BenchSci equity options
                                                                  +
                                                                  15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                  +
                                                                  Unlimited flex time for sick days, personal days, religious holidays
                                                                  +
                                                                  Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                  +
                                                                  A $2000 CAD* Annual Learning & Development budget
                                                                  +
                                                                  A $1000 CAD* home office set-up budget
                                                                  +
                                                                  A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                  +
                                                                  Generous parental leave benefits with a top-up plan or paid time off options
                                                                  +
                                                                  *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                  +

                                                                  +
                                                                  About BenchSci:
                                                                  +
                                                                  BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                  +
                                                                  Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                  +

                                                                  +
                                                                  Our Culture:
                                                                  +
                                                                  BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                  +
                                                                  We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                  +
                                                                  You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                  +

                                                                  -We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team. You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, we’re seeking someone with a deep expertise in Python, data engineering, and NLP, especially with LLMs (like GPT-4, Gemini, Claude) and SLMs (like Mistral, Llama v2 and other <7B parameter models). The ideal candidate should have a recent track record in fine tuning these models and deploying robust NLP systems in production, with experience in the biomedical field considered a plus. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery. -
                                                                  +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.

                                                                  -
                                                                  BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                                  -
                                                                  -

                                                                  You Will

                                                                  +
                                                                  +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                  +

                                                                  +
                                                                  #LI-Remote
                                                                  +
                                                                  ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:41:00.000Z,False,0,10,68,https://talenthub.vectorinstitute.ai/jobs/222295545-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +68fb1d9b-17fc-4bcf-840c-c87e8b79ba1a,222295547,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-05-04T17:39:05.951Z,"
                                                                  We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                                                  +

                                                                  You will:

                                                                      -
                                                                    • Design, build, evaluate, and deploy advanced ML models, with a focus on NLP and specifically LLMs and SLMs, enhancing the speed and quality of research outputs.
                                                                    • -
                                                                    • Lead the integration and finetuning of LLMs (like GPT, Gemini, Claude) and SLMs (like Mistral, Llama, Gemma) using methods such as HyDE, RAG, PEFT, qLORA, and LORA to extract and generate insights from complex datasets.
                                                                    • -
                                                                    • Collaborate with data engineering teams to develop robust data pipelines and with infrastructure engineers to deploy scalable and efficient NLP systems in production environments.
                                                                    • -
                                                                    • Stay ahead in the field by researching and implementing cutting-edge techniques in NLP, and optimize machine learning workflows using the latest advancements in tools like PyTorch and DVC.
                                                                    • -
                                                                    • Drive technical discussions, apply best practices in machine learning and NLP, and lead problem resolution to ensure high-quality solutions.
                                                                    • -
                                                                    • Take ownership of long-term technical strategies that foster innovation and drive the company’s mission forward.
                                                                    • -
                                                                    • Engage with cross-functional teams, including R&D scientists and the Chief Science Officer, to understand and model biological complexities, contributing to interdisciplinary knowledge sharing.
                                                                    • -
                                                                    • Lead and contribute to agile practices such as sprint planning, estimation, design, and code reviews to maintain a robust development process.
                                                                    • -
                                                                    • Mentor junior engineers, promote a culture of learning and excellence, and establish industry-leading best practices in machine learning and NLP system development.
                                                                    • +
                                                                    • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                                                    • +
                                                                    • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                                                    • +
                                                                    • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                                                    • +
                                                                    • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                                                  -

                                                                  You Have:

                                                                  +

                                                                  You have:

                                                                      -
                                                                    • 5+ years of experience in applying advanced machine learning and NLP techniques, with a proven track record in deploying production-ready systems.
                                                                    • -
                                                                    • Expert proficiency in Python and core programming concepts, with extensive experience in NLP technologies and frameworks like PyTorch.
                                                                    • -
                                                                    • You have demonstrated familiarity with LLMs (GPT, Gemini, Claude) and SLMs (Mistral, Llama, Gemma) in your recent work or projects..Demonstrated ability in designing, building, and evaluating robust and scalable ML models, with a keen eye for scalability, performance, and detail-oriented problem-solving.
                                                                    • -
                                                                    • Strong skills in data engineering, including manipulation and processing with SQL, pandas, or similar technologies, and experience in fine tuning techniques such as HyDE, RAG, PEFT, qLORA, and LORA.A continuous learner with a growth mindset, always seeking to advance skills and knowledge in the evolving field of machine learning and NLP.
                                                                    • -
                                                                    • Excellent communication and collaboration abilities, with experience working cross-functionally with technical and non-technical teams to drive innovative solutions.
                                                                    • -
                                                                    • Bonus: Published research or literature in the field of machine learning or natural language processing is a plus but not required.
                                                                    • +
                                                                    • 4+ years working as a professional developer
                                                                    • +
                                                                    • 2+ years working as an engineering team manager
                                                                    • +
                                                                    • Experience hiring and building motivated engineering teams
                                                                    • +
                                                                    • Strong experience with Python and programming fundamentals
                                                                    • +
                                                                    • Extensive experience working with NLP (including NER) and PyTorch
                                                                    • +
                                                                    • Experience with data engineering and machine learning design patterns and best practices
                                                                    • +
                                                                    • Experience shipping machine learning into distributed, data-intensive production systems
                                                                    • +
                                                                    • Strong experience collaborating cross-functionally
                                                                    • +
                                                                    • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                                                  +

                                                                  +

                                                                  Benefits and Perks:
                                                                  An engaging remote-first culture
                                                                  A great compensation package that includes BenchSci equity options
                                                                  -
                                                                  A robust vacation policy plus an additional vacation day every year
                                                                  -
                                                                  Company closures for 14 more days throughout the year
                                                                  -
                                                                  Flex time for sick days, personal days, and religious holidays
                                                                  -
                                                                  Comprehensive health and dental benefits.
                                                                  -
                                                                  Annual learning & development budget
                                                                  -
                                                                  A one-time home office set-up budget to use upon joining BenchSci
                                                                  -
                                                                  An annual lifestyle spending account allowance
                                                                  +
                                                                  15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                  +
                                                                  Unlimited flex time for sick days, personal days, religious holidays
                                                                  +
                                                                  Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                  +
                                                                  A $2000 CAD* Annual Learning & Development budget
                                                                  +
                                                                  A $1000 CAD* home office set-up budget
                                                                  +
                                                                  A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                  Generous parental leave benefits with a top-up plan or paid time off options
                                                                  -
                                                                  The ability to save for your retirement coupled with a company match!
                                                                  +
                                                                  *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.

                                                                  About BenchSci:
                                                                  BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                  @@ -61239,840 +60876,529 @@ Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.

                                                                  #LI-Remote
                                                                  -
                                                                  ",,https://jobs.lever.co/benchsci/318dc013-5eb2-49af-a3e2-4afaca20a9fc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-06-06T16:46:03.834Z,False,0,6,49,https://talenthub.vectorinstitute.ai/jobs/323518208-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/318dc013-5eb2-49af-a3e2-4afaca20a9fc,expired,2024-05-16T16:40:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -e2e10721-8eae-481b-a334-be69897dcb02,321978696,Scotiabank,"Remote - First Nations / Inuit / Metis - Data Scientist, Generative and Conversational AI - CID&A",full,Canada,2024-05-08T20:26:45.999Z,"

                                                                  Requisition ID: 194941
                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  Is this role right for you? In this role, you will:

                                                                  -
                                                                    -
                                                                  • Develop and optimize NLU models for intent classification and entity extraction within chatbots and virtual assistants.
                                                                  • -
                                                                  • Explore and implement Generative AI models for various applications, such as text summarization, dialogue generation, and content creation.
                                                                  • -
                                                                  • Analyze chatbot conversations and user interactions to identify patterns, trends, and areas for improvement.
                                                                  • -
                                                                  • Build and evaluate machine learning models to improve chatbot performance and personalize user experiences.
                                                                  • -
                                                                  • Collaborate with engineers and product managers to integrate Conversational AI solutions into existing systems.
                                                                  • -
                                                                  • Stay up-to-date on the latest advancements in AI/ML and Conversational AI technologies.
                                                                  • -
                                                                  -


                                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                  +
                                                                  ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:43:41.364Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/222295547-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, +1467296c-f1a3-4cfe-9c9e-eec8fb06f132,239887327,Scotiabank,"Manager, Data Governance",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.518Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 180410

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Scotiabank is currently seeking a Manager, Data Governance to join our growing team! This role contributes to the overall success of the GBM Data Office ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. This role would also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                                                                  +

                                                                  +

                                                                  Is this role right for you? You will be responsible for:

                                                                  +

                                                                  +
                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                  • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program.
                                                                  • Understands business requirements and aligns them to the objectives of the data management program.
                                                                  • Design and document business requirements and functional requirements to support data-related initiatives for consumer data domains, including Finance, Credit Risk, Market Risk, Liquidity Risk, and other corporate functions (e.g., Compliance and Anti-Money Laundering) and their associated business areas/processes.
                                                                  • Conduct root cause analysis of data quality issues raised through automated validation rules and self-identified issues raised by data stewards, data consumers, and data producers.
                                                                  • Support data stewards in managing data governance and data management practices within their data domains and facilitate cross-domain initiatives and activities, as necessary.
                                                                  • Monitor data quality dashboards and exception reports, performing analysis to identify trends in data quality issues, perform root-cause analysis, establish data quality themes, and determine course(s) of action, creating action plans to resolve open items.
                                                                  • Supports business and regulatory initiatives driven by the Bank’s data management framework.
                                                                  • Assist with Data Office Annual Attestations and training requirements.
                                                                  • Prepare presentation materials for Risk working groups and committee meetings
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Do you have the skills you need to succeed? We'd love to work with you, if you have:

                                                                  +

                                                                  +
                                                                  • Bachelor's degree
                                                                  • Global Banking and Markets experience or Capital Markets experience an asset
                                                                  • Demonstrate curiosity and problem-solving abilities
                                                                  • Solid Data analysis ability to explore data and aware of current data analytics trends and technology
                                                                  • Excellent team player, working with cross-departmental business & IT stakeholders
                                                                  • Project management experience, able to drive initiatives from planning through to execution
                                                                  • Knowledge of regulatory/liquidity reporting and business processes (e.g., FR 2052A, Liquidity Stress Test, Reg YY, etc.) an asset
                                                                  • Knowledge of requirements gathering, design methodology, and building test cases - detail oriented, analytical, and capable of investigating complex / technical issue
                                                                  • Experience in Regulations and Matters Requiring Attention an asset
                                                                  • +
                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Governance-ON/571595117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:23:44.289Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/239887327-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Governance-ON/571595117/,expired,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7fc76835-e034-4468-afb0-2b6d8bc694c7,249060465,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-07-20T15:53:02.834Z,"
                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Pay Details

                                                                  +

                                                                  We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                  +

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  +

                                                                  The Business Banking Data & Analytics (BB D&A) group is responsible for stewardship of all analytics, reporting and data management requirements for Business Banking.

                                                                  The group supports Business Banking product and sales teams in the areas of analytics, insights, performance measurement, business intelligence and reporting.

                                                                  +

                                                                  The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO) and Enterprise Data & Analytics (ED&A).

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Details

                                                                  +
                                                                  +

                                                                  About this Role

                                                                  +

                                                                  Reporting to the Manager (Data in Projects), the Senior Business Insights Analyst is responsible for the holistic identification of Business Analytics, Reporting and Data Management Requirements as part of several BB pods in Programs / Projects / BAU. They will work closely and take guidance from Business Bankers, Data Management Leads, and TS counterparts, while facilitating stakeholders in understanding the impact of business processes on the data, both net-new and existing.
                                                                  The incumbent will also work together with project stakeholders to help drive several data activities, as defined by the BB Data in Projects Framework, including both the Enterprise Data Governance Office (EDGO) and Analytics capabilities as defined by Enterprise Data & Analytics (ED&A). The Senior Business Insights Analyst will help enable comprehensive analytics delivery within the project/pod, in a risk-managed approach aligned to the BB Data Strategy.

                                                                  +

                                                                  Accountabilities Include:

                                                                    -
                                                                  • Strong foundation in statistics, machine learning, and natural language processing (NLP).
                                                                  • -
                                                                  • Experience with Conversational AI platforms (e.g., Google Dialogflow CX) and NLU principles.
                                                                  • -
                                                                  • Familiarity with Generative AI models and tools (e.g., Google Vertex AI, OpenAI, etc).
                                                                  • -
                                                                  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
                                                                  • -
                                                                  • Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
                                                                  • -
                                                                  • Excellent communication and collaboration skills.
                                                                  • -
                                                                  • Passion for building intelligent systems and solving challenging problems.
                                                                  • +
                                                                  • Responsible for 2-way scoping of Business Analytics, Reporting and Data Management Requirements for several BB projects / programs and Pods.
                                                                  • +
                                                                  • Facilitate a breakdown of business analytics requirements including to identify reporting needs both for implementation in both operational data stores as well as analytical platforms (i.e. Akora)
                                                                  • +
                                                                  • Collaborate across BB D&A Pillars to ensure appropriate development, business acceptance testing, rollout and transition to Day 2
                                                                  • +
                                                                  • Understand data structures being modified and created across the projects and conduct lineage / reverse-engineering to understanding impacts to existing BB D&A Artefacts (i.e. Reporting, Analytics)
                                                                  • +
                                                                  • Collaborate with project team to verify business data test cases scenarios covers data quality meeting data requirements; create new test cases if required. High level verification of the quality data in lower environments.
                                                                  • +
                                                                  • Ensure decisions and solutions are aligned with the BB Data in Projects Framework and the larger BB Data Strategy
                                                                  • +
                                                                  • Identify opportunities for process improvement and automation both across the entire data architecture, as well as within the project and the overall DIP Team
                                                                  • +
                                                                  • Conduct knowledge transfer with the project teams and with D&A Teams
                                                                  • +
                                                                  • Support the project team in quantifying the benefits to the Business bank through leveraging data
                                                                  • +
                                                                  • Facilitate and document current data state and future data target states to ensure effects of data are understood and communicated across all project stakeholders
                                                                  • +
                                                                  • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;
                                                                  • +
                                                                  • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;
                                                                  • +
                                                                  • Develop new standards for Data documentation for use by projects, and communicate these to both D&A, Business and Technology Stakeholders
                                                                  • +
                                                                  • Participate fully as a member of the Business Bank’s Data & Analytics team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
                                                                  • +
                                                                  • Contribute to a fair, positive and equitable environment that supports a diverse workforce
                                                                  -


                                                                  What's in it for you?

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Requirements

                                                                  +
                                                                  +What can you bring to TD?
                                                                  Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                    -
                                                                  • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                  • -
                                                                  • A rewarding career path with diverse opportunities for professional development
                                                                  • -
                                                                  • Internal training to support your growth and enhance your skills.
                                                                  • -
                                                                  • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                  • -
                                                                  • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, cafeteria.
                                                                  • -
                                                                  • Hybrid Work Environment
                                                                  • -
                                                                  • Indigenous specific benefits
                                                                  • -
                                                                  • 10,000 annually in mental health benefits
                                                                  • -
                                                                  • Traditional Indigenous Practices Leave
                                                                  • -
                                                                  • Indigenous Employee Mentoring Program
                                                                  • +
                                                                  • Seasoned Business Analyst leader with proven ability to assess, facilitate and ensure deliver holistic analytics, reporting and data management activities, on time and on budget, aligned to business needs
                                                                  • +
                                                                  • Experience leading data related initiatives with specific emphasis on data retention and disposition expertise considered an asset;
                                                                  • +
                                                                  • Strategic mindset with the ability to understand implications of key decisions on policies, down-stream processes, etc.;
                                                                  • +
                                                                  • Knowledge of Business Bank data and systems considered an asset;
                                                                  • +
                                                                  • Knowledge of platform and data warehouse design and principles is considered an asset
                                                                  • +
                                                                  • Knowledge and experience in Agile projects, Jira and confluence tools is considered an asset
                                                                  • +
                                                                  • Knowledge of Cloudera Hadoop, MS Azure, SAS and OCDO Data Management Capabilities are considered an asset
                                                                  • +
                                                                  • Experience in working on data integration projects or large scale, complex technology projects using formal project delivery methodology;
                                                                  • +
                                                                  • Hands-on experience working with SQL language to carry-on daily data profiling and data quality is considered an asset
                                                                  • +
                                                                  • Hand-on experience working with Microsoft tools like MS Visio and MS PowerPoint
                                                                  • +
                                                                  • Excellent relationship management skills;
                                                                  • +
                                                                  • Excellent oral and written communication and presentation skills;
                                                                  • +
                                                                  • Strong organizational awareness;
                                                                  • +
                                                                  • Strong attention to detail and well-organized to manage large amounts of information and details
                                                                  • +
                                                                  • Superior negotiation and creative problem-solving skills
                                                                  +

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : British Columbia : Victoria || Canada : Manitoba : Winnipeg || Canada : Nova Scotia : Halifax

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Remote-First-Nations-Inuit-Metis-Data-Scientist%2C-Generative-and-Conversational-AI-CID&A-ON-M5H1H1/578974517/,aitalent@vectorinstitute.ai,https://www.scotiabank.com/,,,2024-06-07T20:26:00.000Z,True,0,33,146,https://talenthub.vectorinstitute.ai/jobs/321978696-remote-first-nations-inuit-metis-data-scientist-generative-and-conversational-ai-cid-a-at-scotiabank,,expired,2024-05-08T20:26:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -2c6ab75a-8a4b-4edd-91de-3e0adfb87d63,322179890,Scotiabank,"Manager, Deposits Analytics - CID&A",on_site,Canada : Ontario : Toronto,2024-05-09T16:28:03.732Z,"

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Requisition ID: 198871

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  -

                                                                  The Pricing Optimization team within Canadian Banking Analytics drives revenue and volume growth for product lines, including lending and deposits. They achieve this by offering advanced analytical pricing solutions that influence strategic decisions on consumer pricing (rates/fees) and other consumer behavior initiatives. The Manager of Pricing Analytics is responsible for developing analytical solutions to set and execute product prices. This includes providing analytics support for the deposits portfolio, performing feature engineering, building machine learning models for pricing optimization, and designing optimization engines. Additionally, they create end-to-end pricing model production pipelines that are scalable, reusable, and secure.

                                                                  -

                                                                  -

                                                                  -

                                                                  Is this role right for you? In this role, you will:

                                                                  -

                                                                  -

                                                                  Extract and cleanse large datasets in preparation for modelling or reporting:

                                                                  -

                                                                  -
                                                                  • Integrate data across a variety of data stores / platforms (eg. DB2, SQL server, Hive in Hadoop, BQ in GCP) in a way that helps building advanced analytical models
                                                                  • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling
                                                                  • Explore data sourced from other environments including (but not limited to) the data lake; apply newly available data to pricing problems (ie. flow of funds, transcribed calls, network analytics data etc.)
                                                                  • Internal and external data source evaluation
                                                                  • -
                                                                  -

                                                                  -

                                                                  Design, build, and validate predictive models that explain the customer behavior over the product life cycle:

                                                                  -

                                                                  -
                                                                  • Origination models such as response, utilization and attrition modeling
                                                                  • Portfolio management models such as renewal models, re-pricing models, and campaign acquisition models
                                                                  • Portfolio segmentation/customer sensitivity modeling
                                                                  • Performing revenue optimization for a chosen portfolio. You need to understand business objectives, translate them into mathematical optimization problems, create profit function and recommend optimal pricing for each product
                                                                  • Create and apply model and algorithm testing strategies to conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
                                                                  • Model validation
                                                                  • -
                                                                  -

                                                                  -

                                                                  Effectively communicate with business lines:

                                                                  -

                                                                  -
                                                                  • Collaborate with business lines and other stakeholders and proactively identify opportunities to drive business value and influence pricing strategy
                                                                  • Provide subject matter expertise on predictive modelling and statistical analysis to internal stakeholders
                                                                  • Effectively communicate results of highly technical projects to business audiences
                                                                  • -
                                                                  -

                                                                  -

                                                                  Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                  -

                                                                  -
                                                                  • The candidate will be at the intersection of math/stats, computer science, business line, and communication.
                                                                  • Excellent problem solving and analytical skills, communication skills, and a strong ability to translate complex technical information to a non-technical audience
                                                                  • Customer focus; results focus and time-management skills to meet tight turnaround deadlines
                                                                  • Strong programming skills, ideally in Python, PySpark, R
                                                                  • Strong SQL skills for querying relational databases
                                                                  • Experience in Hadoop Big Data ecosystem(Hive, Spark, Pig, Sqoop), Cloud computing (Microsoft Azure or Google cloud), common statistical and machine learning libraries in Python, R, Spark (Keras/Tensorflow, Sklearn)
                                                                  • University degree in relevant STEM discipline (Computer Science, Electrical/computer/software engineering and mathematics) with internship experience
                                                                  • Preferred masters or PhD in mathematics, statistics, or a related discipline
                                                                  • Preferred 2 years experience in an analytics role.
                                                                  • -
                                                                  -

                                                                  -

                                                                  What's in it for you?

                                                                  -

                                                                  -
                                                                  • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                  • A rewarding career path with diverse opportunities for professional development
                                                                  • Internal training to support your growth and enhance your skills.
                                                                  • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                  • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                                                  • Hybrid Work Environment
                                                                  • -
                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Deposits-Analytics-CID&A-ON-M5C2T6/580760817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-08T19:30:08.362Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/322179890-manager-deposits-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Deposits-Analytics-CID&A-ON-M5C2T6/580760817/,expired,2024-05-09T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -92849ca1-1804-4343-8700-de2b1a5de0aa,322180024,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-05-09T16:38:02.244Z,"
                                                                  -
                                                                  -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +

                                                                  Additional Information

                                                                  +
                                                                  #LI-Hybrid
                                                                  +

                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +Our Values
                                                                  At TD we're guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                  +

                                                                  Making Your Well-being a Priority
                                                                  A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they're more likely to do their best.

                                                                  +

                                                                  Our Total Rewards Package
                                                                  Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                  +

                                                                  How We Work
                                                                  At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                  +

                                                                  Who We Are
                                                                  TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                  -

                                                                  -
                                                                  Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  +Our Commitment to Diversity, Equity, and Inclusion
                                                                  At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                  +

                                                                  How We're Helping Make an Impact in Communities
                                                                  TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                  +

                                                                  Accommodation
                                                                  Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                  +

                                                                  We look forward to hearing from you!

                                                                  -
                                                                  -

                                                                  You will:

                                                                  -
                                                                      -
                                                                    • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                    • -
                                                                    • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                    • -
                                                                    • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                    • -
                                                                    • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                    • -
                                                                    • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                    • -
                                                                    • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                    • -
                                                                    • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                                                                    • -
                                                                    • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                    • -
                                                                    • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                    • -
                                                                    • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                    • -
                                                                  -
                                                                  -
                                                                  -

                                                                  You have:

                                                                  -
                                                                      -
                                                                    • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                    • -
                                                                    • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                                                                    • -
                                                                    • Extensive experience with PyTorch.
                                                                    • -
                                                                    • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                    • -
                                                                    • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                    • -
                                                                    • Experience with data manipulation and processing, such as SQL or pandas.
                                                                    • -
                                                                    • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                    • -
                                                                    • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                    • -
                                                                    • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                                                                    • -
                                                                    • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                                                                    • -
                                                                  -
                                                                  -
                                                                  -
                                                                  Benefits and Perks:
                                                                  -
                                                                  An engaging remote-first culture
                                                                  -
                                                                  A great compensation package that includes BenchSci equity options
                                                                  -
                                                                  A robust vacation policy plus an additional vacation day every year
                                                                  -
                                                                  Company closures for 14 more days throughout the year
                                                                  -
                                                                  Flex time for sick days, personal days, and religious holidays
                                                                  -
                                                                  Comprehensive health and dental benefits.
                                                                  -
                                                                  Annual learning & development budget
                                                                  -
                                                                  A one-time home office set-up budget to use upon joining BenchSci
                                                                  -
                                                                  An annual lifestyle spending account allowance
                                                                  -
                                                                  Generous parental leave benefits with a top-up plan or paid time off options
                                                                  -
                                                                  The ability to save for your retirement coupled with a company match!
                                                                  -

                                                                  -
                                                                  About BenchSci:
                                                                  -
                                                                  BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                  -
                                                                  Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                  -

                                                                  -
                                                                  Our Culture:
                                                                  -
                                                                  BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                  -
                                                                  We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                  -
                                                                  You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                  -

                                                                  -
                                                                  -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                  -

                                                                  -
                                                                  -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                  -

                                                                  -
                                                                  #LI-Remote
                                                                  -
                                                                  ",,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-06-08T19:37:23.691Z,False,0,8,83,https://talenthub.vectorinstitute.ai/jobs/322180024-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/5cfc5146-053a-45db-9254-2d20b402657a,expired,2024-05-09T16:38:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -bc6f9fdb-76e4-4759-9eac-3fab95ab59af,331336441,KPMG,"Senior Manager, Forensic Data Analytics",on_site,"Toronto, ON, Canada",2024-06-27T20:05:58.248Z,"

                                                                  Overview

                                                                  -

                                                                  At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                  -

                                                                  The Opportunity

                                                                  -

                                                                  The Forensic practice is interested in hiring a Senior Manager to join its forensic data analytics (“FDA”) team. The FDA team performs data analytics to provide litigation support, the quantification of damages, and investigations into fraud and other inappropriate actions. Our team also performs data analytics for external audit, internal audit and as well as for other consulting engagements.

                                                                  -


                                                                  What you will do

                                                                  -
                                                                    -
                                                                  • Leading engagement teams and working to translate data requirements into data analytics routines.
                                                                  • -
                                                                  • The candidate will often be responsible for managing several engagements at one time.
                                                                  • -
                                                                  • Establishing and monitoring project budgets, ensuring timely billing and collections, etc. Assisting the Partners in new client evaluation, engagement acceptance and related risk management practices.
                                                                  • -
                                                                  • Preparation of written reports summarizing our procedures and findings. Preparing file documentation and ensuring appropriate document management.
                                                                  • -
                                                                  • Reviewing and/or developing scripts and workflows to assist with data extraction, queries, and data manipulation in accordance with business requirements.
                                                                  • -
                                                                  • Actively participating in marketing and business development at a Senior Manager level, this will include developing your professional network, attending networking events, writing articles, preparing and delivering presentations and other activities to raise your profile within the business community.
                                                                  • -
                                                                  -


                                                                  What you bring to the role

                                                                  -
                                                                    -
                                                                  • Minimum of 10 years of relevant professional experience, including 6 years of experience with data extraction, analysis, cleansing, quality and manipulation skills, and experience handling very large volumes of data, and a minimum of 5 years of managing class action and/or proactive remediation teams.
                                                                  • -
                                                                  • Experience in accounting and/or financial markets. A CPA designation is highly recommended but not obligatory.
                                                                  • -
                                                                  • Expert knowledge of the following tools: Alteryx, Tableau, MS Power BI, SQL, Python, ACL/IDEA
                                                                  • -
                                                                  • Demonstrated experience in managing multiple engagements simultaneously, setting project timelines, allocating resources efficiently, ensuring timely delivery of high-quality work while managing internal and external stakeholders’ expectations.
                                                                  • -
                                                                  • Subject matter expertise in class actions and/or proactive remediation.
                                                                  • -
                                                                  • Proven record of business development skills, including developing and maintaining long-term relationships across a network of existing and potential clients to maximise opportunities.
                                                                  • -
                                                                  • Excellent ability to communicate and present complex technical findings in a clear and concise manner concise anner tailored for audiences without a technical background or understanding of data analytics processes.
                                                                  • -
                                                                  -

                                                                  Providing you with the support you need to be at your best

                                                                  -

                                                                  -
                                                                  -

                                                                  -

                                                                  -

                                                                  For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                  -


                                                                  Our Values, The KPMG Way

                                                                  -

                                                                  Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                  -

                                                                  KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                  -

                                                                  Adjustments and accommodations throughout the recruitment process

                                                                  -

                                                                  At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                                                  -

                                                                  To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                                                  -

                                                                  For information about accessible employment at KPMG, please visit our accessibility page.

                                                                  ",,https://careers.kpmg.ca/professionals/jobs/24488?lang=en-us,aitalent@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2024-07-27T20:06:01.039Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/331336441-senior-manager-forensic-data-analytics-at-kpmg,,expired,2024-06-27T20:05:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, -ae894466-ed8f-4ba0-9715-7417898609b9,331196400,OMERS,"Technical Analyst, Valuations and Analytics",on_site,"Ontario, Canada",2024-06-27T11:39:04.452Z,"
                                                                  -

                                                                  Why join us?

                                                                  -

                                                                  -

                                                                  Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                                  At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                                  -

                                                                  -

                                                                  -

                                                                  Oxford is seeking a Technical Analyst to join our Valuations & Analytics team in Toronto, Canada. Oxford’s Valuations & Analytics team is responsible for real estate valuations, portfolio and property performance and risk analysis across all markets that Oxford invests. The ideal candidate will combine solid technical skills with a desire to learn real estate finance as an integral part of the Valuations & Analytics team. The candidate for this position will be exposed to the valuation and asset management analytics of investment properties across Oxford’s global portfolio.

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-27T20:11:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/249060465-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,expired,2023-07-20T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +f22bfc3a-50ad-4680-9f40-41511331474d,249139910,RBC,"Director, Enterprise Model Risk Management",on_site,"Toronto, ON, Canada",2023-07-21T01:51:01.830Z,"
                                                                  +

                                                                  Come Work with Us!

                                                                  At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                  Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                  +

                                                                  Job Title

                                                                  Director, Enterprise Model Risk Management

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  What is the opportunity?

                                                                  +

                                                                  As Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will lead and execute the validation of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale credit risk systems including validation of Wholesale criteria paper models and replication to ensure integrity of ratings used for Basel compliance, capital accuracy, risk management, credit provisioning, and stress testing processes. You will develop and implement tools and methodologies required to underpin credit risk systems validation, and provide insightful robust analyses of credit risk systems validation.

                                                                  -

                                                                  As a member of this team, you will be responsible for:

                                                                  +

                                                                  What will you do?

                                                                    -
                                                                  • Designing, building and maintaining reports, tools and templates used to create and maintain Oxford valuation models using VBA, SQL and / or related skills;
                                                                  • -
                                                                  • Assist in the development and maintenance of the team’s database, which tracks historic and forecast property results and market information;
                                                                  • -
                                                                  • Liaise with Oxford’s Information Technology team as well as third party systems service providers in the sourcing, development and maintenance of internally and externally managed software and systems;
                                                                  • -
                                                                  • Lead regular testing and implementation of annual system upgrades and process improvements;
                                                                  • -
                                                                  • Conduct market and economic research, assemble and interpret macro-market trends.
                                                                  • -
                                                                  • Participate in the creation and maintenance of valuation models primarily using Argus Enterprise to reflect changes to the portfolio and market conditions; -
                                                                  • -
                                                                  • Liaise with accountants, asset managers, leasing and property management groups in data collection for periodic valuation updates; and
                                                                  • -
                                                                  • Prepare annual written valuation reports.
                                                                  • +
                                                                  • Ensure efficient coordination and execution of Wholesale credit risk systems model validation processes and provide insightful and robust analyses of validation results
                                                                  • +
                                                                  • Ensure execution and documentation of appropriate qualitative and quantitative tests relating to Wholesale criteria papers, including review of logic and conceptual soundness of Wholesale criteria paper models and their inputs, accuracy, sensitivity, backtesting, benchmarking and analysis of the use of the criteria paper models
                                                                  • +
                                                                  • Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate
                                                                  • +
                                                                  • Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders
                                                                  • +
                                                                  • Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards
                                                                  • +
                                                                  • Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes
                                                                  • +
                                                                  • Lead a high performing team and provide focus and clarity in establishing individual goals, driving performance management, supporting career development and rewarding strong performance
                                                                  • +
                                                                  • Complete ad hoc analytical or empirical projects
                                                                  -

                                                                  To succeed in this role, you have:

                                                                  +

                                                                  +

                                                                  What do you need to succeed?

                                                                  +

                                                                  Must-Have

                                                                  +
                                                                    +
                                                                  • 7+ years of analytical and quantitative experience with a financial institution, in a related role such as a risk manager, a model developer/validator or data miner/analyst
                                                                  • +
                                                                  • Strong familiarity with design, development, and/or application of credit risk rating methodologies
                                                                  • +
                                                                  • Graduate degree in a quantitative discipline such as computer science/information system, statistics, econometrics and/or a relevant professional qualification
                                                                  • +
                                                                  • Understand various data systems (e.g. Newton/CNB Newton, CCMS, CMS, Probe, Axiom, EBR, ESN, WCRD etc.) structures/processes and how they affect inputs and outputs of credit risk modelling/validation data
                                                                  • +
                                                                  • Strong interpersonal and teamwork skills
                                                                  • +
                                                                  • Strong conceptual, analytical, detailed oriented and problem solving skills
                                                                  • +
                                                                  • Strong computer skills (SQL, Python and Microsoft Office Suite required; SAS strongly preferred)
                                                                  • +
                                                                  • Execute with urgency while maintaining quality and efficiency
                                                                  • +
                                                                  • Adapt to shifting priorities, coupled with a sense of urgency
                                                                  • +
                                                                  +

                                                                  Nice-to-Have

                                                                    -
                                                                  • Relevant undergraduate or advanced degree with 1-4 years of work experience;
                                                                  • -
                                                                  • Candidates must have completed some computer programming courses at a post-secondary level and have a well-developed understanding of the principles of programming;
                                                                  • -
                                                                  • Proficiency in SQL, VBA (or equivalents), and Microsoft Excel (financial modeling) is required;
                                                                  • -
                                                                  • Knowledge and experience with data visualization or business intelligence software is considered an asset;
                                                                  • -
                                                                  • Demonstrated interest in, or prior work experience, in real estate or investment finance is considered an asset;
                                                                  • -
                                                                  • Knowledge and experience with ARGUS Enterprise is considered an asset;
                                                                  • -
                                                                  • Self-motivated individual with a strong work ethic and a high level of attention to detail;
                                                                  • -
                                                                  • Strong verbal and written communication, interpersonal, problem solving and project management skills;
                                                                  • -
                                                                  • Ability to work well under pressure with multiple competing deadlines;
                                                                  • -
                                                                  • Flexible attitude towards a variety of work tasks is required;
                                                                  • -
                                                                  • Valid Passport for International travel as needed.
                                                                  • +
                                                                  • CFA, CPA, or FRM designations
                                                                  • +
                                                                  • Ability to communicate, verbally and in writing, complex concepts to a non-technical audience
                                                                  • +
                                                                  • Exposure to credit risk system design and Basel parameter estimation is an asset
                                                                  • +
                                                                  • Ability to work in Unix, Teradata Data Warehouse and/or Data Lake environments
                                                                  • +
                                                                  • Ability to work with numerous data and IT infrastructures
                                                                  • +
                                                                  • Proactive learning and working skills

                                                                  -

                                                                  #LI-Hybrid

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Our story:

                                                                  -

                                                                  Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                                  -

                                                                  -

                                                                  For more information on Oxford, visit www.oxfordproperties.com

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  -
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Technical-Analyst--Valuations-and-Analytics_JR-5399-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-07-27T14:36:12.281Z,False,0,7,42,https://talenthub.vectorinstitute.ai/jobs/331196400-technical-analyst-valuations-and-analytics-at-omers,,expired,2024-06-27T11:39:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3a370992-9a70-41b6-aac3-b8b4eb84a44c,334967087,BMO Financial Group,"Manager, Business Insights and Analytics",on_site,"Ontario, Canada",2024-07-22T07:29:01.954Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  07/25/2024

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                                                  -
                                                                    -
                                                                  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                                                  • -
                                                                  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                                                                  • -
                                                                  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                  • -
                                                                  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                                                  • -
                                                                  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                                                  • -
                                                                  • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                  • -
                                                                  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                  • -
                                                                  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                  • -
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.
                                                                  • -
                                                                  -

                                                                  -

                                                                  Qualifications:

                                                                  -

                                                                  Foundational level of proficiency:

                                                                  -
                                                                    -
                                                                  • Technical design optimization.
                                                                  • -
                                                                  • Decision Making.
                                                                  • -
                                                                  • Systems Thinking.
                                                                  • -
                                                                  • Data visualization.
                                                                  • -
                                                                  • Data storytelling.
                                                                  • -
                                                                  • Data mining.
                                                                  • -
                                                                  • Illustration.
                                                                  • -
                                                                  • Creative thinking.
                                                                  • -
                                                                  • Problem Solving.
                                                                  • -
                                                                  -

                                                                  Intermediate level of proficiency:

                                                                  -
                                                                    -
                                                                  • Insights design.
                                                                  • -
                                                                  • Insights development and reporting.
                                                                  • -
                                                                  • Verbal & written communication skills.
                                                                  • -
                                                                  • Collaboration & team skills.
                                                                  • -
                                                                  • Analytical and problem solving skills.
                                                                  • -
                                                                  • Data driven decision making.
                                                                  • -
                                                                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                  • -
                                                                  • Technical proficiency gained through education and/or business experience.
                                                                  • -
                                                                  • Typically 5+ years of relevant experience in data analytics role.
                                                                  • -
                                                                  • Proficient in analytical programming language (e.g., SAS, SQL, Python, VBA)
                                                                  • -
                                                                  • Proficient in the creation of Power BI Dashboard for visualization and reporting purposes.
                                                                  • -
                                                                  -
                                                                  -

                                                                  -

                                                                  Salary:

                                                                  -
                                                                  $54,500.00 - $101,500.00

                                                                  -

                                                                  Pay Type:

                                                                  Salaried

                                                                  -

                                                                  The above represents BMO Financial Group’s pay range and type.

                                                                  -

                                                                  -

                                                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                  -

                                                                  -

                                                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Business-Insights-and-Analytics_R240016984?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-29T07:42:02.009Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/334967087-manager-business-insights-and-analytics-at-bmo-financial-group,,expired,2024-07-22T07:29:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e994da87-5655-432c-ab56-653abf6b387f,331856640,Google,"Research Scientist, Google Research",on_site,"Toronto, ON, Canada",2024-07-01T07:27:02.851Z,"
                                                                  -
                                                                  -

                                                                  Research Scientist, Google Research

                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  -
                                                                  -

                                                                  Minimum qualifications:

                                                                  -
                                                                    -
                                                                  • PhD degree in Computer Science, a related field, or equivalent practical experience.
                                                                    -
                                                                  • -
                                                                  • One or more scientific publication submission(s) for conferences, journals, or public repositories.
                                                                    -
                                                                  • -
                                                                  -

                                                                  Preferred qualifications:

                                                                  -
                                                                    -
                                                                  • 2 years of coding experience.
                                                                    -
                                                                  • -
                                                                  • 1 year of experience owning and initiating research agendas.
                                                                    -
                                                                  • -
                                                                  -
                                                                  -
                                                                  -

                                                                  About the job

                                                                  -

                                                                  As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you\'ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

                                                                  -

                                                                  As a Research Scientist, you\'ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

                                                                  -

                                                                  Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                  -

                                                                  The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                                                  -

                                                                  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                                                  -
                                                                  -
                                                                  -

                                                                  Responsibilities

                                                                  -
                                                                    -
                                                                  • Author research papers to share and generate impact of research results across the team and in the research community.
                                                                    -
                                                                  • -
                                                                  • Help in growing research business across teams by sharing research trends and best practices within the community.
                                                                    -
                                                                  • -
                                                                  • Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
                                                                    -
                                                                  • -
                                                                  • Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance.
                                                                    -
                                                                  • -
                                                                  • Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
                                                                    -
                                                                  • -
                                                                  -
                                                                  -
                                                                  -

                                                                  Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                  -

                                                                  Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                  -

                                                                  If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                  -

                                                                  Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                  -

                                                                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                  -
                                                                  -
                                                                  ",,https://www.google.com/about/careers/applications/jobs/results/103061454791287494-research-scientist-google-research?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-07-29T19:32:00.000Z,False,0,18,109,https://talenthub.vectorinstitute.ai/jobs/331856640-research-scientist-google-research-at-google,,expired,2024-07-01T07:27:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,PhD,New Posting, -76d9e24f-bc60-4f2b-8e21-54dedaae455e,331856673,Borealis AI,Senior Research Engineer - Capital Markets,on_site,"Ontario, Canada",2024-07-01T07:41:01.504Z,"
                                                                  -

                                                                  What’s the opportunity?

                                                                  -

                                                                  Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

                                                                  -

                                                                  Your responsibilities include:

                                                                  -
                                                                    -
                                                                  • Providing technical leadership throughout the research and product development lifecycle to deliver cutting edge AI solutions;
                                                                  • -
                                                                  • Partnering with Borealis AI’s business, product, research, and engineering teams to ensure the seamless delivery of these products;
                                                                  • -
                                                                  • Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
                                                                  • -
                                                                  • Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI’s products;
                                                                  • -
                                                                  • Supporting projects with thorough documentation, design decisions, and technical advisory.
                                                                  • -
                                                                  -

                                                                  You’re our ideal candidate if you have:

                                                                  -
                                                                    -
                                                                  • Ability to independently drive the ML research process, including engineering novel relevant features, integrating mixed data sources, applying off-the-shelf ML models when appropriate, and inventing/developing new ML models when necessary;
                                                                  • -
                                                                  • Ability to approximate real-world business concepts with mathematical models and leverage those models to drive ML design process;
                                                                  • -
                                                                  • Ability to manage large numbers of ML experiments across shared resources;
                                                                  • -
                                                                  • Proficient in Python, data science tooling, and deep learning frameworks;
                                                                  • -
                                                                  • Firm grasp of the ML modelling process, including underfitting/overfitting, regularization, and different loss functions and model selection metrics and their tradeoffs;
                                                                  • -
                                                                  • Ability to collaborate with colleagues spanning a mix of business, product, engineering, and research teams through both written and oral communications.
                                                                  • -
                                                                  -

                                                                  Any of these additional skills would also be helpful in this role:

                                                                  -
                                                                    -
                                                                  • Familiarity with a wide variety of (deep and classical) ML methods, including an understanding of different models’ pros and cons;
                                                                  • -
                                                                  • Familiarity with feature importance methods;
                                                                  • -
                                                                  • Experience with automated ML methods;
                                                                  • -
                                                                  • Experience monitoring and maintaining a production ML system operating continuously in real time;
                                                                  • -
                                                                  • Experience working with time series data, especially highly stochastic and/or non-stationary processes;
                                                                  • -
                                                                  • Experience with signal processing and/or understanding of information theory;
                                                                  • -
                                                                  • Experience with statistical hypothesis testing, scientific experimental techniques, A/B testing, or similar;
                                                                  • -
                                                                  • Experience with algorithmic trading, KDB/q, price prediction/alpha generation, or financial machine learning.
                                                                  • +

                                                                    What’s in it for you?

                                                                    +

                                                                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                    +
                                                                      +
                                                                    • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
                                                                    • +
                                                                    • Leaders who support your development through coaching and managing opportunities
                                                                    • +
                                                                    • Ability to make a difference and lasting impact
                                                                    • +
                                                                    • Flexible work/life balance options
                                                                    • +
                                                                    • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                    • +
                                                                    • Opportunities to do challenging work
                                                                    • +
                                                                    +

                                                                    +

                                                                    +

                                                                    Job Summary

                                                                    Directs and coordinates risk management projects such as regulatory reviews, inspections, audits, etc. within the department. Manages activities through senior managers and managers and implements corporate and divisional strategic plans and budgets.

                                                                    Address:

                                                                    TORONTO, Ontario, Canada

                                                                    City:

                                                                    CAN-ON-TORONTO

                                                                    Country:

                                                                    Canada

                                                                    Work hours/week:

                                                                    37.5

                                                                    Employment Type:

                                                                    Full time

                                                                    Platform:

                                                                    Group Risk Management

                                                                    Job Type:

                                                                    Regular

                                                                    Pay Type:

                                                                    Salaried

                                                                    Posted Date:

                                                                    2023-03-17

                                                                    Application Deadline:

                                                                    2023-08-29
                                                                    +

                                                                    Inclusion and Equal Opportunity Employment

                                                                    +

                                                                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                    ​​​​​​​
                                                                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                    +
                                                                    +

                                                                    Join our Talent Community

                                                                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                    +
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000053535/Director-Enterprise-Model-Risk-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-23T17:18:09.996Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/249139910-director-enterprise-model-risk-management-at-rbc,,expired,2023-07-21T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +1ee85f23-8375-45a4-9140-cc6ba147a86a,260749010,Scotiabank,"Manager, Business Analyst, Models - Retail and Small Business",on_site,Canada : Ontario : Toronto,2023-08-17T15:52:01.965Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 182871

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Overview

                                                                  +

                                                                  The world is changing faster than ever and so are we!

                                                                  +

                                                                  +

                                                                  Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

                                                                  +

                                                                  +

                                                                  Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:

                                                                  +

                                                                  You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec’ing out how our modeling and technology teams should use what you discovered.

                                                                  +

                                                                  +

                                                                  We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                                                  +

                                                                  +

                                                                  What Are We Looking For?

                                                                  +

                                                                  +

                                                                  We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational and technical processes into business rules and data flows, and working collaboratively with a diverse range of stakeholders to develop scalable solutions in the interest of improving our automated forecasting models and capital allocation.

                                                                  +

                                                                  +

                                                                  We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

                                                                  +

                                                                  +

                                                                  The ideal candidate will be a consummate team player who is equally comfortable being a:

                                                                  +
                                                                  • Business Analyst / Business Consultant / Financial Analyst
                                                                  • Data Analyst
                                                                  • Software Architect
                                                                  • Process Engineer
                                                                  -

                                                                  What’s in it for you?

                                                                  -
                                                                    -
                                                                  • Be part of a dynamic & flexible working environment;
                                                                  • -
                                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                  • -
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock options where applicable;
                                                                  • -
                                                                  • Leaders who support your development through coaching and managing opportunities;
                                                                  • -
                                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                  • +

                                                                    Make an Impact

                                                                    +

                                                                    As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Project Management Office, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

                                                                    +

                                                                    +

                                                                    You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:

                                                                    +
                                                                    • Plan and manage initiatives,
                                                                    • Map and / or re-engineer key processes, data flows and / or business rules
                                                                    • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
                                                                    -

                                                                    About Borealis AI

                                                                    -
                                                                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre
                                                                    -
                                                                    dedicated to achieving state-of-the-art in machine learning. Established in 2016,
                                                                    -
                                                                    and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic
                                                                    -
                                                                    collaborations and partner with world-class research centres in artificial intelligence.
                                                                    -
                                                                    With a focus on ethical AI that will help communities thrive, our machine learning
                                                                    -
                                                                    scientists perform fundamental and applied research in areas such as reinforcement
                                                                    -
                                                                    learning, natural language processing, deep learning, and unsupervised learning to
                                                                    -
                                                                    solve ground-breaking problems in diverse fields.
                                                                    -

                                                                    Inclusion and Equal Opportunity Employment

                                                                    -

                                                                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

                                                                    -

                                                                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                    -
                                                                  ",,https://www.borealisai.com/careers/?gh_jid=7302672002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-07-29T19:33:00.000Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/331856673-senior-research-engineer-capital-markets-at-borealis-ai,,expired,2024-07-01T07:41:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -6fc3cad0-4307-4ca5-b3f1-e76450a303ce,335311787,RBC,Senior Data Engineer,on_site,"Toronto, ON, Canada",2024-07-25T07:41:01.672Z,"
                                                                  -

                                                                  Job Summary

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description

                                                                  -

                                                                  -

                                                                  What is the Opportunity?

                                                                  -

                                                                  -

                                                                  The GRM Portfolio Risk Oversight group provides independent and effective on-site monitoring, control and communication on the nature and extent of material risks for Business Financial Services (BFS). We are looking for someone who can drive custom risk Analytics and Insights to business partners by building and operating a modern data stack for reporting & analytics. As a Senior Data Engineer you will contribute to the overall success of the BFS risk oversight strategies and objectives. You are accountable for architecting, implementing and managing data models and data pipelines, developing, maintaining and upscaling the cloud data platform/services vital to the continued growth of broader team

                                                                  -

                                                                  -

                                                                  Portfolio Risk Oversight (PRO) is an extremely dynamic team, capable of proactively uncovering insights and risk trends by applying data science methodologies. To succeed you will have to develop and maintain strong ties with business leaders to support decision making through a combination of custom analytics and the evolution of the PRO data infrastructure. The PRO team leverages modern data stack, which requires constant refinements and enhancements to provide business users with relevant and timely self-serve analytics. You will ensure that our team is successful by leveraging the data in the best possible way. You will be a hands-on analytics practitioner and consultant to ensure that we track, maintain and analyze data in a way that leads us to optimize operational processes and make better business decisions.

                                                                  -

                                                                  -

                                                                  What will you do?

                                                                  -
                                                                    -
                                                                  • Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution and monitoring of key transformational initiatives

                                                                  • -
                                                                  • Provide architecture guidance, performance tuning and big data engineering expertise for use cases that require capabilities in Federated Queries, Data Ingestion and Distributed Computing.

                                                                  • -
                                                                  • Building and supporting data engineering pipelines in Python using PySpark and Apache Airflow

                                                                  • -
                                                                  • Manage and optimizes an inventory of risk data sources. Responsible for compiling, aggregating, testing and validating different data repositories/sources for the risk dashboards ensuring completeness, accuracy, timeliness and integrity of information;

                                                                  • -
                                                                  • Develop data products by writing code that is modular, reliable, maintainable & replicable by leveraging open source data science libraries (Pandas, SQLAlchemy ,scikit-learn, airflow, pyarrow, nltk, spaCy)

                                                                  • -
                                                                  • Identify, design, and implement internal process improvements: automating manual processes, orchestrating and optimizing data delivery across on-premises data platforms, re-designing data models for greater scalability, etc.

                                                                  • -
                                                                  • Build on and optimize the existing foundation of data pipeline architectures required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various methods, programming languages, and software technologies, adjusting as needed to optimize effectiveness.

                                                                  • -
                                                                  • Coordinate Linux VMs maintenances and maintain Docker Containers and basic shell scripting

                                                                  • +

                                                                    Potential deliverables / outcomes may include (but not be limited to):

                                                                    +
                                                                    • Business, implementation and project plans that get executed to completion
                                                                    • Business rules, financial formulae and algorithms
                                                                    • Newly generated and retrofitted automated reporting
                                                                    • Improved operational efficiency and effectiveness
                                                                    • Quantitative analysis to support ongoing decision-making
                                                                    • Recommendations of what else “we should look into / fix” next
                                                                    -

                                                                    -

                                                                    What do you need to succeed?

                                                                    -

                                                                    Must-have:

                                                                    -
                                                                      -
                                                                    • Bachelor’s degree in computer science, Information Technology, or a related field.

                                                                    • -
                                                                    • Experience working with containers and orchestration tools like (Docker, Kubernetes, Apache Airflow, CI/CD, etc.)

                                                                    • -
                                                                    • Must be proficient in working on Linux RHEL v8-9

                                                                    • -
                                                                    • Experience using Environments technologies such as Hadoop/Spark, Virtual Servers, SQL, Oracle, DB2, NoSQL/SQL databases, Storage SAN/NAS.

                                                                    • -
                                                                    • Expertise SQL, coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Spark.

                                                                    • -
                                                                    • Experience developing and maintaining reporting environments across multiple platforms (e.g. ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g. SQL, Hadoop, Python, etc.).

                                                                    • -
                                                                    • Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database source.

                                                                    • +

                                                                      Is This Role Right for You?

                                                                      +
                                                                      • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                      • You are both deeply curious and highly pragmatic
                                                                      • You are comfortable with data, analytic / technical and business processes
                                                                      • You relish ambitious but realistic goals and are committed to achieving them
                                                                      • You are comfortable initiating conversations and collaborating with diverse personalities
                                                                      • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
                                                                      • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
                                                                      • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
                                                                      • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
                                                                      • You are professional, motivated AND FUN. We mean it.
                                                                      -

                                                                      -

                                                                      Nice-to-have

                                                                      -
                                                                        -
                                                                      • Knowledge of Credit Risk Modelling techniques

                                                                      • -
                                                                      • Experience working with Cloud Technologies

                                                                      • -
                                                                      • Experience working with Structured vs. Unstructured data

                                                                      • -
                                                                      • Extensive hands-on experience in designing, developing and maintaining software frameworks using Python, Spark, and Shell Scripts.

                                                                      • +

                                                                        +

                                                                        What Do You Need to Succeed?

                                                                        +

                                                                        General

                                                                        +
                                                                        • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
                                                                        • A demonstrated history of problem solving, technology implementation and sound judgement
                                                                        • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
                                                                        • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
                                                                        • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                        -

                                                                        -

                                                                        What’s in it for you?

                                                                        -

                                                                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                        -
                                                                          -
                                                                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                        • -
                                                                        • Leaders who support your development through coaching and managing opportunities

                                                                        • -
                                                                        • Ability to make a difference and lasting impact

                                                                        • -
                                                                        • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                        • -
                                                                        • A world-class training program in financial services

                                                                        • -
                                                                        • Flexible work/life balance options

                                                                        • -
                                                                        • Opportunities to do challenging work

                                                                        • +

                                                                          +

                                                                          Technical

                                                                          +
                                                                          • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
                                                                          • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
                                                                          • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
                                                                          • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
                                                                          -

                                                                          -

                                                                          #TechPJ

                                                                          -

                                                                          #LI-Post

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Skills

                                                                          Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          GROUP RISK MANAGEMENT

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-07-12

                                                                          Application Deadline:

                                                                          2024-07-31

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -
                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000093613/Senior-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-08-01T07:54:02.734Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/335311787-senior-data-engineer-at-rbc,,expired,2024-07-25T07:41:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -053403aa-b918-4413-a951-8fdd5173374a,335311794,RBC,"Sr. Manager, Data Solution Design & Integration",on_site,"Toronto, ON, Canada",2024-07-25T07:41:02.183Z,"
                                                                  -

                                                                  Job Summary

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description

                                                                  -

                                                                  What is the opportunity?

                                                                  -

                                                                  -

                                                                  RBC, one of Canada’s largest and most respected employers, is looking for a Data Professional to join our growing team of Talent Data and Analytics experts.

                                                                  -

                                                                  -

                                                                  You are a technical expert who will help expand and optimize our data architecture and pipelines, but also an experienced data wrangler who enjoys optimizing data systems to support not only software developers, database architects, data analysts, and data scientists but also business partners, data governance professionals and subject matter experts within HR and RBC’s businesses and functional groups. The right candidate will be excited by the prospect of optimizing our company’s HR data architectures to support our next generation of applications including both cloud-based HRIS systems (Workday) as well as on-premise streaming data and reporting warehouses and platforms to help drive better talent insights from our data.

                                                                  -

                                                                  -

                                                                  You are a multi-talented data professional who can embrace architecture, analytics, modeling, and development, are comfortable collaborating with HR and business subject matter experts have a keen ability to translate business needs into requirements documents, technical solutions and storytelling insights.

                                                                  -

                                                                  -

                                                                  What will you do?

                                                                  -
                                                                    -
                                                                  • Research, develop, deploy and maintain end-to-end talent data and analytics solutions maximizing data pipelines and architectures to provide actionable talent metrics and insights (datasets, visualizations, dashboards) to serve business, HR and team needs

                                                                  • -
                                                                  • Identify, design, and implement internal process improvements: automating manual processes, orchestrating and optimizing data delivery across various cloud-based and on-premise data platforms, re-designing data models for greater scalability, etc.

                                                                  • -
                                                                  • Build on and optimize the existing foundation of data pipeline architectures required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various methods, programming languages, and software technologies, adjusting as needed to optimize effectiveness.

                                                                  • -
                                                                  • Support the construction of a common repository of HR data knowledge including data dictionaries, dimension and measure definitions, platform cross walks and basic governance and lineage.

                                                                  • -
                                                                  • Manage project risks, issues, and decisions related to data requirements, ensuring proper steps are taken to mitigate, escalate, and communicate detailed updates to leadership

                                                                  • -
                                                                  • Contribute to and review project documents, ensuring alignment between Business, Strategic, and HR data requirements, and contribute to successful data solution delivery by managing priorities, timelines, dependencies, critical paths, and solution design

                                                                  • +

                                                                    Nice to Have’s

                                                                    +

                                                                    General

                                                                    +
                                                                    • Proficient reading, writing and speaking Spanish
                                                                    • Domain expertise with retail & small business banking products and / or risk management practices
                                                                    • Familiarity with credit risk models / scorecards
                                                                    • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
                                                                    -

                                                                    -

                                                                    What do you need to succeed?

                                                                    -

                                                                    -

                                                                    Must have:

                                                                    -
                                                                      -
                                                                    • 7+ years of advanced working experience with relational databases (including Teradata, SQL Server, MySQL or similar)

                                                                    • -
                                                                    • 7+ years of advanced experience with Microsoft Excel

                                                                    • -
                                                                    • Expertise with object-oriented language for use with data access, data manipulation, ETL, APIs, text mining, and light analytics (including Python, VBA)

                                                                    • -
                                                                    • Expertise with cloud computing-based data platforms like Snowflake

                                                                    • -
                                                                    • Strong management, organizational, critical thinking, analytical, communication and negotiation skills

                                                                    • +

                                                                      +

                                                                      Technical

                                                                      +
                                                                      • An understanding of statistical prediction, estimation and forecasting models
                                                                      • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
                                                                      • An appreciation for advanced statistical approaches used to assess and address uncertainty
                                                                      -

                                                                      -

                                                                      Nice-to-have

                                                                      -

                                                                      -
                                                                        -
                                                                      • Experience with data visualization tools such as Tableau or Power BI

                                                                      • -
                                                                      • Graduate degree in Computer Science, Statistics, Information Systems, Physics or related quantitative field.

                                                                      • -
                                                                      • 5+ years of experience in a Data Engineering or equivalent role

                                                                      • +

                                                                        +

                                                                        What’s in It for You?

                                                                        +
                                                                        • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
                                                                        • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                                                        +

                                                                        You’ll have fun. We do.

                                                                        +

                                                                        +

                                                                        Location(s): Canada : Ontario : Toronto

                                                                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-ON-M5H1H1/573122617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-24T16:27:03.857Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/260749010-manager-business-analyst-models-retail-and-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Analyst%2C-Models-Retail-and-Small-Business-ON-M5H1H1/573122617/,expired,2023-08-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +31ef2877-ebb0-4c5c-8bfa-833cc76e0a98,265418913,TD Bank Group,"Senior Advisor, Business Insights",on_site,"Toronto, ON",2023-08-31T16:23:03.025Z,"
                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5

                                                                  -

                                                                  What’s in it for you?

                                                                  +

                                                                  Workplace Model

                                                                  +
                                                                  Hybrid

                                                                  -

                                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  -
                                                                    -
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                  • -
                                                                  • Leaders who support your development through coaching and managing opportunities

                                                                  • -
                                                                  • Ability to make a difference and lasting impact

                                                                  • -
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                  • -
                                                                  • A world-class training program in financial services

                                                                  • -
                                                                  • Flexible work/life balance options

                                                                  • -
                                                                  • Opportunities to do challenging work

                                                                  • -
                                                                  +

                                                                  Pay Details

                                                                  +

                                                                  We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Skills

                                                                  Analytical Thinking, Big Data Management, Cloud Computing, Data Analysis, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, SQL Databases, Structured Query Language (SQL), Visualization Tools

                                                                  -

                                                                  -

                                                                  -

                                                                  Additional Job Details

                                                                  -

                                                                  Address:

                                                                  20 KING ST W:TORONTO

                                                                  City:

                                                                  TORONTO

                                                                  Country:

                                                                  Canada

                                                                  Work hours/week:

                                                                  37.5

                                                                  Employment Type:

                                                                  Full time

                                                                  Platform:

                                                                  HUMAN RESOURCES

                                                                  Job Type:

                                                                  Regular

                                                                  Pay Type:

                                                                  Salaried

                                                                  Posted Date:

                                                                  2024-06-27

                                                                  Application Deadline:

                                                                  2024-08-30

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  -
                                                                  -

                                                                  Inclusion and Equal Opportunity Employment

                                                                  -

                                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                  ​​​​​​​
                                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                  -
                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Join our Talent Community

                                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                  -
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000092477/Sr-Manager-Data-Solution-Design-Integration,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-08-01T07:54:02.734Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/335311794-sr-manager-data-solution-design-integration-at-rbc,,expired,2024-07-25T07:41:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -96e30d5a-c294-48e2-a125-a3faf2ba7477,332511128,BMO Financial Group,Machine Learning Engineer,on_site,"Ontario, Canada",2024-07-04T07:21:01.832Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  07/30/2024

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  +

                                                                  What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                                                  +

                                                                  We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Details

                                                                  +
                                                                  +

                                                                  +

                                                                  About this Role

                                                                  +

                                                                  With your wealth of experience with data and insights, you’ll act as a top advisor to your business partners and contacts across TD. Your goal? Work positively and professionally with your partners to inspire world-class, comprehensive analytical support. As a subject matter expert on the subject, TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value. Finally, you own your space and are at the top of your game when it comes to relationship building, which will be key in your partnerships across the organization.

                                                                  +

                                                                  We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                                                  +

                                                                  +

                                                                  As a Senior Advisor, Business Insights, you will:

                                                                    -
                                                                  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                  • -
                                                                  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                  • -
                                                                  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                  • -
                                                                  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                  • -
                                                                  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                  • -
                                                                  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                  • -
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • -
                                                                  • Provides specialized consulting, analytical and technical support.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works independently and regularly handles non-routine situations.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.
                                                                  • +
                                                                  • Work closely with business partners to gain deep understanding of the business and relevant objectives in order help drive the strategic direction of respective business and/or the enterprise
                                                                  • +
                                                                  • Formulate relevant data analysis through comprehensive profiling tools, segmentation, as well as using advanced modeling and analytics
                                                                  • +
                                                                  • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help drive business growth or address business/enterprise needs
                                                                  • +
                                                                  • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                  • +
                                                                  • Generally accountable for a significant business or area that has cross business or enterprise wide impact or accountability
                                                                  • +
                                                                  • Enterprise domain/ functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                                                  • +
                                                                  • Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
                                                                  • +
                                                                  • Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner
                                                                  • +
                                                                  • Act as the primary contact with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
                                                                  • +
                                                                  • Apply positive relationship management efforts to constructively influence and inspire working partners where appropriate
                                                                  • +
                                                                  • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
                                                                  • +
                                                                  • Raise data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
                                                                  • +
                                                                  • Provides day-to-day support and delivery of analytics
                                                                  • +
                                                                  • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
                                                                  • +
                                                                  • Enhance analytics capability by developing a “best-in-class” analytics team that delivers meaningful insights that drive measurable business value. Help make analytics a competitive advantage for TD.
                                                                  • +
                                                                  • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                                                  • +
                                                                  • Navigate complex organizational boundaries, stakeholder management, develop, manage and deliver on project/program plans
                                                                  +

                                                                  -

                                                                  Qualifications:

                                                                  -

                                                                  Intermediate level of proficiency:

                                                                  +

                                                                  Job Requirements

                                                                  +
                                                                  +What can you bring to TD?
                                                                  Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:
                                                                  Ideal candidate will possess a broad depth of experience as a technologist in the data analytics space, with years of experience focusing on financial crimes.

                                                                    -
                                                                  • Mathematics, statistics & operations research.
                                                                  • -
                                                                  • Deep learning.
                                                                  • -
                                                                  • Machine learning.
                                                                  • -
                                                                  • Trust, bias and ethics.
                                                                  • -
                                                                  • Creative thinking.
                                                                  • -
                                                                  • Critical thinking.
                                                                  • +
                                                                  • Experience in data analysis using programming languages such as Python, SQL, R, SAS or equivalent.
                                                                  • +
                                                                  • Experience with statistical analysis and modelling.
                                                                  • +
                                                                  • Strong analytical, problem-solving, and communication skills.
                                                                  • +
                                                                  • Ability to communicate and explain analytical results.
                                                                  • +
                                                                  • Ability to work independently and collaboratively in a fast-paced environment.
                                                                  • +
                                                                  • Proficiency in cloud computing and big data platforms, such as AWS, Azure, Spark, or Hadoop.
                                                                  • +
                                                                  • Knowledge of visualization techniques, using software such as Excel, Tableau, Power BI.
                                                                  -

                                                                  Advanced level of proficiency:

                                                                  +

                                                                  Preferred candidate will posses one or more certifications within a financial crimes and accounting concentration:

                                                                    -
                                                                  • Big data.
                                                                  • -
                                                                  • Data visualization.
                                                                  • -
                                                                  • Computational thinking and programming.
                                                                  • -
                                                                  • Data wrangling.
                                                                  • -
                                                                  • Data preprocessing.
                                                                  • -
                                                                  • Creative reasoning.
                                                                  • -
                                                                  • Verbal & written communication skills.
                                                                  • -
                                                                  • Collaboration & team skills.
                                                                  • -
                                                                  • Analytical and problem solving skills.
                                                                  • -
                                                                  • Influence skills.
                                                                  • -
                                                                  • Data driven decision making.
                                                                  • -
                                                                  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                  • -
                                                                  • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                  • +
                                                                  • CAMS – Certified Ani-Money Laundering Specialist
                                                                  • +
                                                                  • CFCS – Certified Financial Crime Specialist
                                                                  • +
                                                                  • CFE – Certified Fraud Examiner
                                                                  • +
                                                                  • CIA – Certified Internal Auditor
                                                                  • +
                                                                  • CPA – Chartered Professional Accountant
                                                                  -
                                                                  +

                                                                  -

                                                                  Compensation and Benefits:

                                                                  -
                                                                  $81,600.00 - $151,200.00

                                                                  -

                                                                  Pay Type:

                                                                  Salaried

                                                                  -

                                                                  The above represents BMO Financial Group’s pay range and type.

                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +Our Values
                                                                  At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                  +

                                                                  Making Your Well-being a Priority
                                                                  A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                  +

                                                                  Our Total Rewards Package
                                                                  Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                  +

                                                                  How We Work
                                                                  At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                  +

                                                                  Who We Are
                                                                  TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                  +

                                                                  -

                                                                  Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  +Our Commitment to Diversity, Equity, and Inclusion
                                                                  At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                  +

                                                                  How We’re Helping Make an Impact in Communities
                                                                  TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                  +

                                                                  Accommodation
                                                                  Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                  +

                                                                  We look forward to hearing from you!

                                                                  +

                                                                  -

                                                                  BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Machine-Learning-Engineer_R240012008?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-01T07:42:29.474Z,False,0,21,99,https://talenthub.vectorinstitute.ai/jobs/332511128-machine-learning-engineer-at-bmo-financial-group,,expired,2024-07-04T07:21:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f415cf04-24b4-4767-8c7e-24765faad1dd,334048320,Scotiabank,"Business Solutions Expert, Retail Credit Risk Technology",on_site,Canada : Ontario : Toronto,2024-07-15T16:28:02.533Z,"

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/18990235/senior-advisor-business-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-09-30T18:39:08.683Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/265418913-senior-advisor-business-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18990235/senior-advisor-business-insights-toronto-ca/,expired,2023-08-31T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +b055dd06-4443-4ff9-9f09-e7648e88d2dd,265418794,Scotiabank,"Senior Manager, Data Ethics Governance and Operations",on_site,Canada : Ontario : Toronto,2023-08-31T16:22:02.390Z,"

                                                                  -

                                                                  Requisition ID: 201393

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  Requisition ID: 183978

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  The Team

                                                                  -

                                                                  Scotiabank’s Information Technology and Solutions provides global technology solutions support to each of our core businesses - Domestic Banking, International Banking, Global Banking & Markets and Global Wealth & Insurance. Our technology-based solutions enable Scotiabank to achieve sustained profitable growth and a competitive advantage.

                                                                  -

                                                                  We are seeking a Business Analyst Lead with a results-driven mindset to contribute to a range of key initiatives including building a IFRS9 Modernization, platform, and data modernization, and enhancing our reporting and analytics solutions to support Credit Risk Management. This is a good opportunity to gain exposure to risk management, cloud computing and data analytics.

                                                                  -

                                                                  -

                                                                  The role:

                                                                  -

                                                                  As a lead Business Solutions Expert, you will be accountable for working with the Project Manager to oversee the successful delivery of key initiatives and deliver high quality results that are completed on time, within scope, and within budget.

                                                                  -

                                                                  Demonstration of leadership and solid business analysis skills are required in order to provide expert advise and collaborate with business partners and developers to drive a design, and development of high-quality technical solutions.

                                                                  -

                                                                  Effective leadership and establishing best practices are expected for leading a high-performing team of business analysts.

                                                                  -

                                                                  -

                                                                  Is this role right for you?

                                                                  -
                                                                  • Project Lead: Plan, execute, and oversee the development of multiple projects and complex initiatives to support Credit Risk Management and work closely with PM to and ensure projects are delivered on time, within scope, and within budget.
                                                                  • Subject Matter Expertise: As a Subject Matter Expert, you will be expected to provide insight and contribute towards cross-functional projects, while collaborating with various teams to help address complex questions as needed.
                                                                  • Technical Requirements: You will be accountable for translating high-level business and user requirements into functional & IT Technical requirements with appropriate level of detail suitable for use by those who must base their work & development on the requirements.
                                                                  • Develop test strategy and execute end-to-end testing to ensure requirements are met.
                                                                  • Effective Liaison: A trusted ally that bridges the gap between the business needs and technical solution.
                                                                  • Lead high performing team: Responsible for the coaching and mentoring of team, establishing best practices to achieve result.
                                                                  • -
                                                                  -

                                                                  -

                                                                  Do you have the skills that will enable you to succeed in this role?

                                                                  -

                                                                  Must have:

                                                                  -
                                                                  • Technical Aptitude and Curiosity: Strong knowledge of SQL, Python and other data analytics tools are essential to independently perform detailed analysis, and having curiosity to learn new technologies that enhance / improve and optimize current state.
                                                                  • Innovative / Creative problem solving: Devise creative solutions to complex problems, and openness to exploring fresh perspectives to address challenges.
                                                                  • Results-focused: A keen eye to details and asking the right questions to take your projects to the next level.
                                                                  • Self – Motivated: You’re a self-starter and take pride in producing high quality results. You are also able to simplify complex situations and navigate ambiguity.
                                                                  • Excellent Communication – written and verbal: You are great at making sure everyone's speaking the same language and are on the same page, and sometimes that involves some give and take.
                                                                  • Team Player: You enjoy collaborating with, learning from, and teaching others so we all become better.
                                                                  • Education: bachelor’s degree in a technical field such as Engineering or Computer Science degree, and pride yourself on analysis, logical thinking, and problem-solving skills
                                                                  • Relevant Experience: 7+ years of experience as a Business Analyst in a challenging IT system solution environment.
                                                                  • -
                                                                  -

                                                                  -

                                                                  Preferred:

                                                                  -
                                                                  • Retail credit risk or financial risk experience is a nice to have.
                                                                  • Previous work as Lead Technical Business Analyst
                                                                  • Experience with Google Cloud Platform and cloud best practices
                                                                  • -
                                                                  -

                                                                  -

                                                                  What's in it for you?

                                                                  -
                                                                  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                                                  • We provide you with the tools and technology needed to create beautiful customer experiences.
                                                                  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.
                                                                  • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.
                                                                  • +

                                                                    Purpose:

                                                                    +


                                                                    The Customer Insights Data and Analytics (CID&A) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well-governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.
                                                                    The role of the Senior Manager, Data Ethics Governance and Operations will be responsible for:

                                                                    +

                                                                    +

                                                                    +
                                                                    • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
                                                                    • Leading definition and implementation of industry leading data ethics practices and processes
                                                                    • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
                                                                    • Setting up the day-to-day operations of the team (e.g., reporting, metric/KPI/Audit tracking,).
                                                                    -

                                                                    #LI-Hybrid

                                                                    -

                                                                    #RetailCreditRisk Tech

                                                                    -

                                                                    #Treasury Tech

                                                                    +


                                                                    We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design and develop the processes for the ethical use of data.

                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Business-Solutions-Expert%2C-Retail-Credit-Risk-Technology-ON-M5H1H1/582068617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-08-01T16:33:04.371Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/334048320-business-solutions-expert-retail-credit-risk-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Business-Solutions-Expert%2C-Retail-Credit-Risk-Technology-ON-M5H1H1/582068617/,expired,2024-07-15T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -af55a8af-8c53-4b50-9f55-1a93811a6963,339831443,Vector Institute,Data Integration Specialist,on_site,"Ontario, Canada",2024-08-29T16:15:02.191Z,"

                                                                  DATA INTEGRATION SPECIALIST

                                                                  -

                                                                  -

                                                                  POSITION SUMMARY

                                                                  -

                                                                  Reporting to the Systems Operations Manager, the Data Integration Specialist is responsible for designing and implementing data integrations and optimizations across various business systems, automating workflows, and establishing a data warehouse and business analytics environment. This role collaborates closely with the Business Analyst, project managers and business users to identify and define integration requirements. The Data Integration Specialist will partner with the Technology team to develop the organization’s data architecture, reporting, and analytics environment, while selecting and implementing data management tools and platforms. This position plays a key role in supporting our user community and shaping Vector’s system’s strategy and business analytics environment.

                                                                  -


                                                                  -

                                                                  KEY RESPONSIBILITIES

                                                                  -
                                                                    -
                                                                  • Works with various business units to identify, map, document and implement optimization solutions.
                                                                  • -
                                                                  • Define and develop data integration processes between core business systems.
                                                                  • -
                                                                  • Recommend, create and optimize automated workflows using a combination of application specific tools and 3rd party integration tools that you will help select.
                                                                  • -
                                                                  • Apply basic coding and ETL scripting concepts and languages to develop and maintain data integration processes.
                                                                  • -
                                                                  • Design and implement a data warehouse to effectively store and manage the organization’s data.
                                                                  • -
                                                                  • Develop data extraction processes to pull data from the organization\'s business systems to its data warehouse.
                                                                  • -
                                                                  • Establish a business analytics environment to facilitate data-driven decision-making across the organization.
                                                                  • -
                                                                  • Identify and address data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability.
                                                                  • -
                                                                  • Support and enforce data privacy and security protocols by analyzing underlying causes of problems and ensuring system and data integrity.
                                                                  • -
                                                                  • Coordinate with other technical staff to develop databases as required.
                                                                  • -
                                                                  • Recommend, develop, and implement process tools to ensure quality, integrity and security of data.
                                                                  • -
                                                                  • Evaluate and select appropriate systems, tools, and services to build and maintain the organization\'s data management processes and environment.
                                                                  • -
                                                                  -


                                                                  -

                                                                  KEY SUCCESS MEASURES

                                                                  -
                                                                    -
                                                                  • Workflows and processes across Vector are automated and optimized as is appropriate.
                                                                  • -
                                                                  • Effective selection and use of data integration methods including ETL (Extract, Transform, Load), data warehousing, and API integration.
                                                                  • -
                                                                  • Ensure data consistency, accuracy, currency and flow.
                                                                  • -
                                                                  • -Foster active communication and engagement with internal and external stakeholders to ensure alignment on data integration initiatives.


                                                                    -
                                                                  • +

                                                                    Accountabilities:

                                                                    +

                                                                    +
                                                                    • Implement the operating model including standards, guidelines, and frameworks to enable ethical data use
                                                                    • Work closely with representatives across the bank to ensure activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                    • Works in cross-functional teams, providing guidance on data ethics standards and guideline
                                                                    • Participate in discussions focused on design and implementation of best practices and tools to support Data Ethics processes
                                                                    • Oversee the review process for: Data Ethics assessments (to provide ethical guidance for analytics, including AI and ML) and Sensitive Data reviews (to determine the level of protection required for data that is moving within the bank, including in cloud technology)
                                                                    • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
                                                                    • Review the business stakeholders’ implementation of the data ethics framework for quality assurance and compliance
                                                                    • Ensure remediation and closure of audit issues within the stipulated deadline
                                                                    • Builds strategic relationships across the organization with counterparts in Risk, Compliance, Legal and other control functions to ensure consistency and alignment on best practices across the organization
                                                                    • Participate in planning and retrospective sessions, attend stand-ups, etc. – we work in an agile environment
                                                                    • Stay abreast of emerging ethical trends and ensure activities are always delivered with a best practice and innovation approach, reflecting appropriate technological developments for competitive business position
                                                                    • Lead a high-performance team – this is a people manager role
                                                                    -

                                                                    PROFILE OF THE IDEAL CANDIDATE

                                                                    -
                                                                      -
                                                                    • A degree or diploma in computer science or engineering, or equivalent knowledge obtained through work experience.
                                                                    • -
                                                                    • A minimum of 3 years professional experience implementing data integrations and developing workflow automations in a similar or related role.
                                                                    • -
                                                                    • Proficient technical knowledge of current database software, protocols, and standards.
                                                                    • -
                                                                    • Understanding APIs, Web Services, and Microservices: this technical expertise allows for the creation of connectors and adapters necessary for integrating disparate systems.
                                                                    • -
                                                                    • Skills in relevant scripting and programming language to enable the customization and automation of integration processes.
                                                                    • -
                                                                    • Proven communication skills, problem-solving skills, and knowledge of integration best practices.
                                                                    • -
                                                                    • Salesforce experience is highly advantageous.
                                                                    • -
                                                                    • Familiarity with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
                                                                    • -
                                                                    • Experience with a range of integration and data management tools and platforms.
                                                                    • -
                                                                    -


                                                                    -

                                                                    At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                    -

                                                                    If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                  ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=506678&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-09-28T17:50:39.347Z,False,0,6,60,https://talenthub.vectorinstitute.ai/jobs/339831443-data-integration-specialist-at-vector-institute,,expired,2024-08-29T16:15:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, -5fea280f-eb98-47b9-8669-c5879d4c5115,339840460,League,Senior Customer Business Intelligence Engineer,full,Canada,2024-08-29T19:07:27.818Z,"

                                                                  About League

                                                                  -

                                                                  Founded in 2014, and with a total funding currently at $220 million; League is a platform technology company powering next-generation healthcare consumer experiences. Payers, providers, consumer health partners and employers build on League’s platform to deliver high-engagement, personalized healthcare experiences consumers love. Millions of people use solutions powered by League to access, navigate and pay for care.

                                                                  -

                                                                  The role

                                                                  As a Senior Customer Business Intelligence Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it. In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.

                                                                  -

                                                                  People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with customers and non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                                  -

                                                                  Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                                  -


                                                                  In this role, you will:

                                                                  -
                                                                    -
                                                                  • Manage the deployment of data products for League’s customers including the configuration of our data models based on the customer’s feature set.
                                                                  • -
                                                                  • Communicate directly with customers to coordinate product launches, as well as ongoing support with issues and questions about our data models
                                                                  • -
                                                                  • Collaborate with product and engineering teams to ensure that the impact on data sources and data models is considered during product development
                                                                  • -
                                                                  • Support data analysts, data scientists and product managers by understanding how they will be working with our data and adjust designs accordingly
                                                                  • -
                                                                  • Develop best practices for data model design and documentation, and promote the use of these practices by other members of the data team
                                                                  • -
                                                                  • Build strong relationships with both internal stakeholders and with customers
                                                                  • -
                                                                  • Identify opportunities for technical investments to help teams meet business objectives
                                                                  • -
                                                                  -

                                                                  Attributes

                                                                  -
                                                                    -
                                                                  • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                                  • -
                                                                  • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                                  • -
                                                                  • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                                  • -
                                                                  • You drive to learn and master new technologies and techniques.
                                                                  • -
                                                                  • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                                  • -
                                                                  • You are eager to learn from others and help others grow with you.
                                                                  • -
                                                                  -


                                                                  What you bring:

                                                                  -
                                                                    -
                                                                  • Strong SQL skills, comfortable working with python and experience working with a modern ETL framework, such as Airflow
                                                                  • -
                                                                  • Experience working as a data engineer, analytics engineer, data analyst or data scientist
                                                                  • -
                                                                  • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                                  • -
                                                                  -

                                                                  Nice To Have Experience

                                                                  -
                                                                    -
                                                                  • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                                  • -
                                                                  • Healthcare industry experience
                                                                  • -
                                                                  • Worked with a SaaS company on customer facing data products
                                                                  • -
                                                                  • Backend Software Engineering experience and understanding
                                                                  • +

                                                                    +


                                                                    Requirements & Qualifications:

                                                                    +

                                                                    +
                                                                    • 5+ years of experience in business/financial services
                                                                    • Knowledge and understanding of data governance, data policy, privacy
                                                                    • Ability to present ideas and facilitate discussions to build consensus at all levels.
                                                                    • Strong communication skills, both written and spoken
                                                                    • Ability to drive success in a high performing, flexible and small team environment
                                                                    • Strong analytical and communication skills and an ability to communicate and convey technical concepts into “layman terms”
                                                                    • Results orientation and pragmatic approach to decision making
                                                                    • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                    +

                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-30T18:36:24.255Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/265418794-senior-manager-data-ethics-governance-and-operations-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,expired,2023-08-31T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +4458ac0c-1716-40fe-b1b8-14ca96827b4d,273696044,CN,"Intern, Solution Engineering",on_site,"Ontario, Canada",2023-09-25T12:30:02.475Z,"
                                                                  +

                                                                  At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                  -

                                                                  Security-related responsibilities

                                                                  -
                                                                    -
                                                                  • Compliance with Information Security Policies
                                                                  • -
                                                                  • Compliance with League’s secure coding practice
                                                                  • -
                                                                  • Responsibility and accountability for executing League's policies and procedures
                                                                  • -
                                                                  • Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
                                                                  • -
                                                                  -

                                                                  CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.

                                                                  -

                                                                  Compensation range for Canada applicants only

                                                                  -

                                                                  $120,900 - $181,300 CAD

                                                                  -

                                                                  Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.
                                                                  We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                  Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

                                                                  +

                                                                  Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern,Solution Engineering position in enter Montreal, QC for winter 2023 (January – April).

                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  The Intern, Solutions Engineering is responsible for contributing to the delivery of customer solutions in collaboration with other members of the Customer and Intermodal Solutions and Innovation team who will act as coaches and mentors. The role’s path is determined based on interest and career aspiration in order for the position to be an opportunity to work in the chosen fields of interest and learn more about cutting edge cloud-based enterprise solutions and mission critical systems.

                                                                  +

                                                                  Major Responsibilities

                                                                    -
                                                                  • You should receive a confirmation email after submitting your application.
                                                                  • -
                                                                  • A recruiter (not a computer) reviews all applications at League.
                                                                  • -
                                                                  • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                                  • -
                                                                  • The final step is an offer, which we hope you will accept!
                                                                  • -
                                                                  • Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
                                                                  • +
                                                                  • Participate to solution architecture and design including defining and documenting the design of architecture of the solutions to be delivered
                                                                  • +
                                                                  • Participate in Application Program Interface (API) and µServices and databases design to meet business requirements
                                                                  • +
                                                                  • Participate in front-end layers design for both web and mobile
                                                                  • +
                                                                  • Contribute to code base for backend and frontend
                                                                  • +
                                                                  • Contribute to a code base for data transformation and enrichment
                                                                  • +
                                                                  • Document solutions and standards
                                                                  • +
                                                                  • Engage in the peer review process and pair programming
                                                                  • +
                                                                  • Automate testing and deployment with Continuous Integration (CI) and Continuous Delivery (CD) pipelines
                                                                  • +
                                                                  • Write and execute test scripts in accordance to requirements specification
                                                                  -

                                                                  Here are some additional resources to learn more about League:

                                                                  +

                                                                  Requirements

                                                                  -

                                                                  Recognize and Avoid Employment scams. Practice safe job searching.

                                                                  -

                                                                  Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

                                                                  ",,https://job-boards.greenhouse.io/leagueinc/jobs/5254873004,aitalent@vectorinstitute.ai,https://league.com/ca/careers-at-league/,,,2024-09-28T19:07:29.951Z,False,0,1,31,https://talenthub.vectorinstitute.ai/jobs/339840460-senior-customer-business-intelligence-engineer-at-league,,expired,2024-08-29T19:07:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -4e9dd1aa-5962-41fe-a4ba-7d88e2db1bf7,303712458,TD Bank Group,Manager BI & Reporting II,on_site,"Toronto, ON",2024-02-01T16:28:01.905Z,"
                                                                  +

                                                                  Education

                                                                  +
                                                                  • Working towards a Bachelor’s Degree in Computer Science or Software Engineering
                                                                  +

                                                                  *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                  +

                                                                  +

                                                                  +

                                                                  About CN

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11481?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-10-02T12:35:04.001Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/273696044-intern-solution-engineering-at-cn,,expired,2023-09-25T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +fb955bad-59a0-4bbe-b63d-410993e05387,266970214,TD Bank Group,Data Analyst Intern/Co-op,on_site,"Toronto, ON",2023-09-04T16:23:02.684Z,"
                                                                  +

                                                                  Campus Role Type

                                                                  +
                                                                  Internship/Co-Op and Summer Opportunities
                                                                  +

                                                                  +

                                                                  Start Date

                                                                  +
                                                                  – Winter
                                                                  +

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Workplace Model

                                                                  +
                                                                  Hybrid
                                                                  +

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                  +

                                                                  Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  +
                                                                    +
                                                                  • Leadership talks with key Leaders from across the organization
                                                                  • +
                                                                  • Lunch and Learns on topics such as Innovation
                                                                  • +
                                                                  • Diversity and Inclusion and Personal Branding and so much more
                                                                  • +
                                                                  +

                                                                  +

                                                                  Job Details

                                                                  +
                                                                  You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                                                                  +

                                                                  Job responsibilities for a junior Data Analyst may vary by area. This may include, but is not limited to the following:

                                                                  +
                                                                    +
                                                                  • Work with business and technology partners to define, develop and document detailed business, data and system requirements.
                                                                  • +
                                                                  • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.
                                                                  • +
                                                                  • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.
                                                                  • +
                                                                  • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.
                                                                  • +
                                                                  • Based on data analysis, provide recommendations for data remediation, improvements.
                                                                  • +
                                                                  • Participate in program/ system research, analysis, detailed design and problem resolution.
                                                                  • +
                                                                  • Respond to user enquiries on data platform, in a timely manner.
                                                                  • +
                                                                  • Troubleshoot and determine root cause and resolution for application defects.
                                                                  • +
                                                                  • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.
                                                                  • +
                                                                  • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.
                                                                  • +
                                                                  • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.
                                                                  • +
                                                                  • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Job Requirements

                                                                  +
                                                                  +
                                                                  • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                  +
                                                                    +
                                                                  • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.
                                                                  • +
                                                                  • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.
                                                                  • +
                                                                  • Familiarity with Jira and Confluence.
                                                                  • +
                                                                  • Proficient with Excel, Visio, SQL, some reporting and analytical tools.
                                                                  • +
                                                                  • Understands Data Modeling concepts.
                                                                  • +
                                                                  • Able to manage multiple priorities and work independently, as well as part of a team.
                                                                  • +
                                                                  • Experience with technology project delivery and agile delivery methodology would be an asset.
                                                                  • +
                                                                  • Some prior experience with creating visualization such as Process and Data Flows.
                                                                  • +
                                                                  • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.
                                                                  • +
                                                                  • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.
                                                                  • +
                                                                  +
                                                                  +

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                  +

                                                                  Early Talent Requirements

                                                                  +
                                                                    +
                                                                  • This position is a 4-month work term and will commence January 8th – April 26th, 2024..
                                                                  • +
                                                                  • Applications must include a resume (maximum of 2 pages).
                                                                  • +
                                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                  • +
                                                                  • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                  • +
                                                                  +

                                                                  Assigned Line of Business Requirements
                                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                  +

                                                                  HOURS
                                                                  Monday-Friday, standard business hours

                                                                  +

                                                                  #P&T

                                                                  +

                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +Our Values
                                                                  At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                  +

                                                                  Making Your Well-being a Priority
                                                                  A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                  +

                                                                  Our Total Rewards Package
                                                                  Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                  +

                                                                  How We Work
                                                                  At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                  +

                                                                  Who We Are
                                                                  TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                  +
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  +Our Commitment to Diversity, Equity, and Inclusion
                                                                  At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                  +

                                                                  How We’re Helping Make an Impact in Communities
                                                                  TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                  +

                                                                  Accommodation
                                                                  Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                  +

                                                                  We look forward to hearing from you!

                                                                  +
                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/19017325/data-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-02T16:30:03.777Z,False,0,17,79,https://talenthub.vectorinstitute.ai/jobs/266970214-data-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19017325/data-analyst-intern-co-op-toronto-ca/,expired,2023-09-04T16:23:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +4087fcca-f643-4d44-9760-e3b03e1ab243,273736149,TD Bank Group,Cloud/DevOps Engineer Intern/Co-op,on_site,"Toronto, ON",2023-09-25T16:25:03.141Z,"
                                                                  +

                                                                  Campus Role Type

                                                                  +
                                                                  Internship/Co-Op and Summer Opportunities
                                                                  +

                                                                  +

                                                                  Start Date

                                                                  +
                                                                  – Winter
                                                                  +

                                                                  Hours

                                                                  37.5

                                                                  Workplace Model

                                                                  Hybrid

                                                                  -

                                                                  Pay Details

                                                                  -

                                                                  We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                  -

                                                                  Department Overview

                                                                  -

                                                                  What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                  -

                                                                  The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                  -

                                                                  This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                  -

                                                                  Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                  +

                                                                  Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                  +

                                                                  Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  +
                                                                    +
                                                                  • Leadership talks with key Leaders from across the organization
                                                                  • +
                                                                  • Lunch and Learns on topics such as Innovation
                                                                  • +
                                                                  • Diversity and Inclusion and Personal Branding and so much more
                                                                  • +
                                                                  +

                                                                  Job Details

                                                                  -

                                                                  Data is something you’re passionate about. So much so that you’re able to seamlessly transform your technical understanding into easy-to-digest reports and communications that your team shares with business owners across the organization. Most importantly, your coaching and leadership inspires leadership in others, driving them to execute with speed, and collaborate with one goal in mind: make TD the better bank.

                                                                  -

                                                                  Sound good so far? Fantastic! We are looking for an experienced people manager and authority to lead a large, diverse and inclusive team who work with various areas of business throughout the organization. Together, you’ll help build complex reporting and business intelligence reports and solutions to help better inform key business decisions and instill industry gold standard methodologies.

                                                                  -

                                                                  As Manager II, Business Intelligence & Reporting, you will:

                                                                  +

                                                                  The Enterprise DevOps pipeline helps TD get to market faster on public cloud by enabling “Self-service” environment creation, and modularization of both the application and the infrastructure through the pipeline.

                                                                  +

                                                                  You will take part working and contributing towards various development work, building up new DevOps tools to enable deployment of Azure public cloud services. Day 1, you will treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our technology platforms.

                                                                  +

                                                                  This may include, but is not limited to the following:

                                                                    -
                                                                  • Lead and execute data/business analysis using various internal data sources to support the understanding of customers, business drivers and financial results
                                                                  • -
                                                                  • Support all relevant projects and initiatives to ensure project data and reporting requirements are met
                                                                  • -
                                                                  • Work in a consultative role to provide valuable insights in the form of analysis, interpretation and, advice
                                                                  • -
                                                                  • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timeline to ensure timely and accurate deliveries
                                                                  • -
                                                                  • Create and maintain detailed documentation on all projects/requests
                                                                  • -
                                                                  • Ensure all projects are delivered according to department standards and guidelines
                                                                  • -
                                                                  • Manage and resource pipelines to ensure projects and initiatives are completed on time/within budget within priority order (as set by regulatory deadlines, business strategy, etc.)
                                                                  • -
                                                                  • Manage relationships with key partners to ensure advance notification of upcoming projects, data requests and more
                                                                  • -
                                                                  • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
                                                                  • -
                                                                  • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                                                  • -
                                                                  • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                                                  • -
                                                                  • Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
                                                                  • -
                                                                  • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
                                                                  • +
                                                                  • Work on DevOps development, design, and build, managing tools for Enterprise-wide technology including Nexus binary repository, GitHub code repository, Jenkins, CI/CD engine, Terraform, Sonarqube, & Aquasec
                                                                  • +
                                                                  • Learn to develop and write Python, Java, shell scripts and groovy code
                                                                  • +
                                                                  • Learn to setup a development environment with docker, and development tools
                                                                  • +
                                                                  • Learn about cloud security, working with various cloud security tools, policies and secrets management
                                                                  • +
                                                                  • Work with DevOps and cloud tools including GitHub, Terraform, Nexus, Jenkins, Xeebia Release & Deploy, Hashicorp Vault, Aquasec, Bitbucket
                                                                  • +
                                                                  • Gain exposure to Salt, DNS, Redhat Satellite, Datadog, Sensu, SQL, Splunk, Mongo
                                                                  • +
                                                                  • Learn cloud services including Azure machine learning, Azure SQL, Azure data lake (ADLS), Azure Kubernetes, Azure function, Azure Databrick, etc.
                                                                  • +
                                                                  • Review and assess new technologies and work through testing, validation, and integration for TD internal tools & systems
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

                                                                  Job Requirements

                                                                  -
                                                                  -

                                                                  What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  +
                                                                    +
                                                                  • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                                                  • +
                                                                  • Knowledge of python and/ or java programming is required
                                                                  • +
                                                                  • Ideal candidate is a well-rounded developer, with an understanding of DevOps and Cloud tools/ platforms and an enthusiasm to deepen their knowledge and expertise through hands-on experience engineering TD’s DevOps pipeline
                                                                  • +
                                                                  +

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  +

                                                                  Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                  +

                                                                  Early Talent Requirements

                                                                    -
                                                                  • Undergraduate degree or technical certificate
                                                                  • -
                                                                  • Seven (7) or more years relevant experience
                                                                  • -
                                                                  • People Management experience will be considered as an asset.
                                                                  • +
                                                                  • This position is a 4-month work term and will commence January 8th – April 26th, 2024..
                                                                  • +
                                                                  • Applications must include a resume (maximum of 2 pages).
                                                                  • +
                                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                  • +
                                                                  • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
                                                                  +

                                                                  Assigned Line of Business Requirements
                                                                  Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                                                  +

                                                                  HOURS
                                                                  Monday-Friday, standard business hours

                                                                  +

                                                                  #P&T

                                                                  Company Overview

                                                                  @@ -62092,73 +61418,458 @@ af55a8af-8c53-4b50-9f55-1a93811a6963,339831443,Vector Institute,Data Integration

                                                                  We look forward to hearing from you!

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-05T16:33:02.220Z,False,0,1,28,https://talenthub.vectorinstitute.ai/jobs/303712458-manager-bi-reporting-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19273109/manager-bi-reporting-ii-toronto-ca/,expired,2024-02-01T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c423fa42-52a5-40e6-b661-ef7b4d88f572,303083873,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-01-29T06:44:01.983Z,"
                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/19017322/cloud-devops-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-02T16:30:03.777Z,False,0,4,12,https://talenthub.vectorinstitute.ai/jobs/273736149-cloud-devops-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19017322/cloud-devops-engineer-intern-co-op-toronto-ca/,expired,2023-09-25T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +2a1f3709-bbee-4142-8946-101b04d747a0,271560933,RBC,"Associate Director, Environmental & Social Risk Analytics",on_site,"Toronto, ON, Canada",2023-09-19T02:17:04.218Z,"
                                                                  +

                                                                  Come Work with Us!

                                                                  At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                  Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                  +

                                                                  Job Title

                                                                  Associate Director, Environmental & Social Risk Analytics

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  +

                                                                  What is the Opportunity?

                                                                  +

                                                                  As part of the Environmental & Social Risk Analytics team within Group Risk Management, you will play a role in the management, monitoring, and mitigation of environmental and social (E&S) risks at RBC. You will support and lead the design and implementation of key climate and E&S risk initiatives by providing research and data analytics and insights.

                                                                  +

                                                                  +

                                                                  A significant focus of this role will be the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors and setting and tracking progress on net-zero targets.

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                  +
                                                                    +
                                                                  • Work with the Director, E&S Risk Analytics to assist in the advancement of RBC’s capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
                                                                  • +
                                                                  • Support target setting through economic and industry research, making powerpoint slides and reports, and presenting research to a wide range of internal stakeholders.
                                                                  • +
                                                                  • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, to inform risk management, business strategy, and ESG and climate disclosures.
                                                                  • +
                                                                  • Identify opportunities to improve environmental & social risk data processes and take a leading role in implementing these changes;
                                                                  • +
                                                                  • Optimize data quality and results by seeking out public and private data sources and working with internal stakeholders to source RBC data to improve our climate risk measurement and management capabilities.
                                                                  • +
                                                                  • Lead workstreams and collaborations across multiple teams to accomplish the above
                                                                  • +
                                                                  • Contribute to the development and management of junior members of the E&S Risk Analytics teams
                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  Must have

                                                                  +
                                                                    +
                                                                  • An interest in Environmental and Social Risk in general and climate change in particular
                                                                  • +
                                                                  • Experience in working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems
                                                                  • +
                                                                  • The ability to synthesize data into business insights and communicate these clearly to diverse audiences
                                                                  • +
                                                                  • An advanced understanding of programming and querying languages, including SQL and python OR a proven ability to both code in another data analytics language (e.g. R, MATLAB, SAS) and the ability learn a new language quickly
                                                                  • +
                                                                  • Experience developing presentations, visualizations and dashboards for senior executives and an interest in developing advanced analytical capabilities
                                                                  • +
                                                                  • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights
                                                                  • +
                                                                  • A desire and proven ability to build new and innovative approaches to complex problems with minimal direction
                                                                  • +
                                                                  • Commitment to quality and accuracy with a high level of attention to detail.
                                                                  • +
                                                                  • Excellent written and verbal communication skills.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Nice to have

                                                                  +
                                                                    +
                                                                  • Knowledge of climate change science with experience in the development and use of climate and economic scenarios, models, projections and data.
                                                                  • +
                                                                  • Knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15)
                                                                  • +
                                                                  • Knowledge or familiarity with internal RBC wholesale lending data systems
                                                                  • +
                                                                  • Experience with or knowledge of carbon-intensive sectors, e.g. agriculture; aluminum; cement; coal; commercial and residential real estate; iron and steel; oil and gas; power generation; and transportation
                                                                  • +
                                                                  • Knowledge and experience in quantitative model development, testing and validation.
                                                                  • +
                                                                  • Experience working with a diverse range of stakeholders.
                                                                  • +
                                                                  • People manager experience
                                                                  • +
                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +

                                                                  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                  +
                                                                    +
                                                                  • Leaders who support your development through coaching and managing opportunities
                                                                  • +
                                                                  • Ability to make a difference and lasting impact
                                                                  • +
                                                                  • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                  • +
                                                                  • Opportunities to do challenging work and make a difference
                                                                  • +
                                                                  • Opportunities to building close relationships
                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Summary

                                                                  This position will support the advancement of the bank’s Environmental and Social Risk data management, analysis and disclosure capabilities, and the integration of this data into our risk management framework.

                                                                  Address:

                                                                  TORONTO, Ontario, Canada

                                                                  City:

                                                                  CAN-ON-TORONTO

                                                                  Country:

                                                                  Canada

                                                                  Work hours/week:

                                                                  37.5

                                                                  Employment Type:

                                                                  Full time

                                                                  Platform:

                                                                  Group Risk Management

                                                                  Job Type:

                                                                  Regular

                                                                  Pay Type:

                                                                  Salaried

                                                                  Posted Date:

                                                                  2023-09-14

                                                                  Application Deadline:

                                                                  2023-09-30
                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                  ​​​​​​​
                                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                  +
                                                                  +

                                                                  Join our Talent Community

                                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                  +
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000067523/Associate-Director-Environmental-Social-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-02T12:26:03.058Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/271560933-associate-director-environmental-social-risk-analytics-at-rbc,,expired,2023-09-19T02:17:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +0dedab12-30fa-4bbb-9cc3-553521ce324d,274556199,RBC,"2024 CAE Group - Winter Data Analyst, Data Products (4 Months)",on_site,"Toronto, ON, Canada",2023-09-28T12:21:02.208Z,"
                                                                  +

                                                                  Come Work with Us!

                                                                  At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                  Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                  +

                                                                  Job Title

                                                                  2024 CAE Group - Winter Data Analyst, Data Products (4 Months)

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning

                                                                  +

                                                                  Leadership acumen and a passion to apply it in a dynamic business environment

                                                                  +

                                                                  Excellent interpersonal and highly developed communication skills (verbal and written)

                                                                  +

                                                                  Creative and analytical thinker who is self-driven and capable of working in a fast paced environment

                                                                  +

                                                                  Experience or understanding of data visualization tool Tableau and databases (SQL and/or VBA)

                                                                  +

                                                                  Programming skills in one or more languages (ex. Python, R, NLP)

                                                                  +

                                                                  Ability to data extract, transform, and load processes with a variety of data types

                                                                  +

                                                                  Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

                                                                  +

                                                                  Strong MS Office skills – Word, Outlook, Excel and PowerPoint

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  Support quarterly audits by analyzing data and providing valuable insights

                                                                  Participate in the design, deliver, and implementation of value add analytics tools and dashboards utilizing  the latest technologies available, to create data solutions to meet auditors needs

                                                                  Documentation of process and administration

                                                                  Be an active contributor to not only your individual team, but to the CAE data community

                                                                  Constantly seek out better ways to do things, new tools, new technologies, new processes

                                                                  Work as part of an high performing team

                                                                  Help promote analytics across the CAE to enable to become a data-driven organization

                                                                  Address:

                                                                  TORONTO, Ontario, Canada

                                                                  City:

                                                                  CAN-ON-TORONTO

                                                                  Country:

                                                                  Canada

                                                                  Work hours/week:

                                                                  37.5

                                                                  Employment Type:

                                                                  Full time

                                                                  Platform:

                                                                  Internal Audit

                                                                  Job Type:

                                                                  Student/Coop (Fixed Term)

                                                                  Pay Type:

                                                                  Salaried

                                                                  Posted Date:

                                                                  2023-08-23

                                                                  Application Deadline:

                                                                  2023-09-30

                                                                  +
                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  +

                                                                  At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                  ​​​​​​​
                                                                  We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                  +
                                                                  +
                                                                  +

                                                                  +

                                                                  Join our Talent Community

                                                                  Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                  Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                  +
                                                                  +
                                                                  ",,https://jobs.rbc.com/ca/en/job/R-0000066345/2024-CAE-Group-Winter-Data-Analyst-Data-Products-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-02T12:26:03.058Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/274556199-2024-cae-group-winter-data-analyst-data-products-4-months-at-rbc,,expired,2023-09-28T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ab91752b-7981-4966-a1f1-d51309547312,275525011,Scotiabank,"Senior Manager, Data Ethics Governance and Operations",on_site,Canada : Ontario : Toronto,2023-10-01T16:24:01.768Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 183978

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose:

                                                                  +


                                                                  The Customer Insights Data and Analytics (CID&A) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well-governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.
                                                                  The role of the Senior Manager, Data Ethics Governance and Operations will be responsible for:

                                                                  +

                                                                  +

                                                                  +
                                                                  • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
                                                                  • Leading definition and implementation of industry leading data ethics practices and processes
                                                                  • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
                                                                  • Setting up the day-to-day operations of the team (e.g., reporting, metric/KPI/Audit tracking,).
                                                                  • +
                                                                  +


                                                                  We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design and develop the processes for the ethical use of data.

                                                                  +

                                                                  +

                                                                  Accountabilities:

                                                                  +

                                                                  +
                                                                  • Implement the operating model including standards, guidelines, and frameworks to enable ethical data use
                                                                  • Work closely with representatives across the bank to ensure activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                                                  • Works in cross-functional teams, providing guidance on data ethics standards and guideline
                                                                  • Participate in discussions focused on design and implementation of best practices and tools to support Data Ethics processes
                                                                  • Oversee the review process for: Data Ethics assessments (to provide ethical guidance for analytics, including AI and ML) and Sensitive Data reviews (to determine the level of protection required for data that is moving within the bank, including in cloud technology)
                                                                  • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
                                                                  • Review the business stakeholders’ implementation of the data ethics framework for quality assurance and compliance
                                                                  • Ensure remediation and closure of audit issues within the stipulated deadline
                                                                  • Builds strategic relationships across the organization with counterparts in Risk, Compliance, Legal and other control functions to ensure consistency and alignment on best practices across the organization
                                                                  • Participate in planning and retrospective sessions, attend stand-ups, etc. – we work in an agile environment
                                                                  • Stay abreast of emerging ethical trends and ensure activities are always delivered with a best practice and innovation approach, reflecting appropriate technological developments for competitive business position
                                                                  • Lead a high-performance team – this is a people manager role
                                                                  • +
                                                                  +

                                                                  +


                                                                  Requirements & Qualifications:

                                                                  +

                                                                  +
                                                                  • 5+ years of experience in business/financial services
                                                                  • Knowledge and understanding of data governance, data policy, privacy
                                                                  • Ability to present ideas and facilitate discussions to build consensus at all levels.
                                                                  • Strong communication skills, both written and spoken
                                                                  • Ability to drive success in a high performing, flexible and small team environment
                                                                  • Strong analytical and communication skills and an ability to communicate and convey technical concepts into “layman terms”
                                                                  • Results orientation and pragmatic approach to decision making
                                                                  • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                                                  • +
                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/275525011-senior-manager-data-ethics-governance-and-operations-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Governance-and-Operations-ON-M5H1H1/573581917/,expired,2023-10-01T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +a02bd135-f9fe-452e-be0f-8e3b17fee758,275932519,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Winter 2024,on_site,Canada : Ontario : Toronto,2023-10-02T16:24:02.437Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 184429

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Term: January 2024 - April 2024
                                                                  Application Deadline: October 2nd, 2023

                                                                  +

                                                                  +

                                                                  There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  +

                                                                  +

                                                                  The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +
                                                                  • Perform data exploration on different data sources and model training
                                                                  • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)
                                                                  • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
                                                                  • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
                                                                  • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
                                                                  • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
                                                                  • Migrate data pipelines and models to new analytics platforms
                                                                  • Experiment & learn!
                                                                  • +
                                                                  +

                                                                  +

                                                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                  +
                                                                  • You are currently enrolled in post-secondary education.
                                                                  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                  • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                  • You have knowledge/experience in:
                                                                  • +
                                                                  +
                                                                  • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
                                                                  • Cloud platforms – GCP, Azure or AWS
                                                                  • MinIO Data Storage, Airflow, Trino
                                                                  • DB2, SQL Server
                                                                  • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
                                                                  • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
                                                                  • +
                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                  • +
                                                                  +

                                                                  +

                                                                  How do I apply?

                                                                  +

                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                  +

                                                                  +
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Complete a short one-way video interview here.
                                                                  3. Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready click here to begin the assessment.
                                                                  4. +Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                  5. +
                                                                  +

                                                                  Note: The one-way video interview, Plum, and Codility assessment for all our Velocity Technology Winter 2024 Internship applications are the same. You only need to complete this once!

                                                                  +

                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                  +

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2024-ON/573767717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,6,36,https://talenthub.vectorinstitute.ai/jobs/275932519-velocity-data-engineer-internship-co-op-winter-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Winter-2024-ON/573767717/,expired,2023-10-02T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +46c23622-f913-4abb-945a-e8a41ed537ce,274636997,Scotiabank,"Manager, Data Engineer",on_site,Canada : Ontario : Toronto || Canada : Ontario : North York,2023-09-28T16:24:03.793Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 185598

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose

                                                                  +

                                                                  Contributes to the overall success of the Global Operations Analytics department ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end development and reporting lifecycle.

                                                                  +

                                                                  +

                                                                  +

                                                                  This includes sourcing the requisite data, delivering sound data solutions to enable reporting, and supporting the infrastructure/product portfolio. Ensures all activities conducted follow governing regulations, internal policies, and procedures

                                                                  +

                                                                  +

                                                                  Accountabilities

                                                                  +
                                                                  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                  • Designs and maintains scalable data architecture in SQL Server (on-premise and Private Cloud) to support periodical integration, transformation, validation and analysis of financial/operational data from diverse sources. Ensures data architecture is maintained consistently with data management principles and continuously evolves in alignment with the strategic technology and governance standard
                                                                  • Work in an Agile environment, be quick to adapt and understand dynamic business requirements, and be able to work with tight timelines. Proactively supports data-based decision making across operational functions by identifying analytical prospects in operational/financial data.
                                                                  • Identify opportunities to automate business tasks that are manual/repetitive in nature and drives continuous improvement to key processes. Continuously cycles through the review and application of techniques, tools, and/or utilities to promote working standards and maintain high-quality solutions.
                                                                  • Executes all development phases supporting the end-to-end delivery of data solutions. Proficiently performs activities which include data profiling, acquisition, modeling, cleansing & conforming, augmentation with reference data, aggregation, and visualization; setting a solid foundation for on-line interactive dashboards and ad hoc reporting
                                                                  • Maintains availability, reliability, and integrity of data products by developing and/or configuring appropriate information controls. Builds strong relationships with enterprise architecture, infrastructure and technology teams to ensure that performance commitments to support business partners are fulfilled.

                                                                  • Executes data mining techniques to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value added by data analysis.

                                                                  • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                                                                  • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of the respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                                                  • +
                                                                  +

                                                                  +

                                                                  Dimensions

                                                                  +
                                                                  • Data visualizations for Power BI reporting
                                                                  • Scope: Canadian Operations
                                                                  • Number of projects: ongoing complex reporting initiatives for the Canadian Business/Retail Service Centres
                                                                  • MS Azure Cloud Services implementation
                                                                  • +
                                                                  +

                                                                  +

                                                                  Qualifications

                                                                  +
                                                                  • University degree in Engineering, Computer Science, Analytics, Mathematics, or related fields is required
                                                                  • University degree in engineering, computer science, mathematics or related fields
                                                                  • 7+ years of practical experience in business intelligence and data analytics is required
                                                                  • Advanced knowledge of database design, data mining, profiling and modelling techniques.
                                                                  • Solid experience with SQL Server, PEGA systems, developing Reporting Services (SSRS), building cubes using Analysis Services (SSAS), Dimensional/Relational modelling, and ETL
                                                                  • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server
                                                                  • Experience with MS Azure Cloud Services (Implementation & Development)
                                                                  • Basic knowledge of Power BI and DAX coding
                                                                  • Experience with Python data libraries is an asset
                                                                  • Good communication skills are an asset
                                                                  • Familiarity of Commercial Banking products, services, policies and procedures, banking regulations and related regulatory requirements is an asset
                                                                  • +
                                                                  +

                                                                  +

                                                                  Working Conditions

                                                                  +
                                                                  • Work in a standard office-based environment; non-standard hours are a common occurrence.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto || Canada : Ontario : North York

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Engineer-ON-M3C0N5/574359217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/274636997-manager-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Engineer-ON-M3C0N5/574359217/,expired,2023-09-28T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7748f013-db5a-4391-9fcf-3d896f7ee783,275932526,Scotiabank,Global Banking and Markets - COO Analyst - Summer 2024 - 12 month Intern/Co-op,on_site,Canada : Ontario : Toronto,2023-10-02T16:24:02.802Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 184249

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Term: May 2024 – April 2025

                                                                  +

                                                                  Application Deadline: 10/02/2023

                                                                  +

                                                                  +

                                                                  There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  +

                                                                  Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in 21 countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.

                                                                  +

                                                                  Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role, you will:

                                                                  +
                                                                  • Assist our teams in report engineering, data analytics and data engineering and business relationship management.
                                                                  • Work with our relationship managers for business lines including Corporate & Investment Banking, Capital Markets, Global Business Payments and International Corporate and Commercial Banking.
                                                                  • Help leverage internal and external client data to facilitate opportunity identification.
                                                                  • Support adoption, change management and enhancement of our CRM (client relationship management) system.
                                                                  • Attend program meetings, and facilitate organization and follow-up as required.
                                                                  • Carry out ad-hoc projects and tasks as required.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                  +
                                                                  • You are currently enrolled in post-secondary education.
                                                                  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                  • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                                                                  • You are interested in or have knowledge of the capital markets and wholesale banking business.
                                                                  • You have experience working on a major project and/or initiative in a team.
                                                                  • You are comfortable dealing with ambiguity and a matrix-based environment.
                                                                  • You have excellent written and oral communication skills.
                                                                  • You have advanced experience with Excel.
                                                                  • You have considerable initiative, curiosity, creativity, and attention to detail.
                                                                  • You have a high level of energy, commitment, and a strong sense of teamwork.
                                                                  • +
                                                                  +

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                  • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.
                                                                  • +
                                                                  +

                                                                  +

                                                                  How do I apply?

                                                                  +

                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                  +
                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                  2. Complete a short one-way video interview here.
                                                                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                  4. +
                                                                  +

                                                                  +

                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-COO-Analyst-Summer-2024-12-month-InternCo-op-ON/573676417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-05T16:29:03.342Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/275932526-global-banking-and-markets-coo-analyst-summer-2024-12-month-intern-co-op-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-COO-Analyst-Summer-2024-12-month-InternCo-op-ON/573676417/,expired,2023-10-02T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +39ba8f74-d102-43c9-9a7d-56a93cf1e240,192003395,OMERS,Senior Data Engineer (13 month contract),on_site,"Ontario, Canada",2023-02-02T17:42:02.781Z,"
                                                                  +

                                                                  +

                                                                  +

                                                                  As a key member of the Data & Advanced Analytics team, the role of Senior Data Engineer is instrumental in enhancing data & analytics capabilities by fostering industry standard processes and delivering high quality data assets to support investment decision making.

                                                                  In this position, you will operationalize and maintain data pipelines deployed to the OMERS investment entities and nurture a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration through the implementation lifecycle of projects and solutions.

                                                                  This role is accountable for ensuring that all projects, solutions and platforms align with and support overall enterprise Data & Technology strategy & goals, and enforce to company policies, industry standards and best practices.

                                                                  +

                                                                  +

                                                                  As a member of this team, you will be responsible for:

                                                                  +
                                                                    +
                                                                  • Deploying ETL pipelines to achieve a high level of reliability, scalability and security.
                                                                  • +
                                                                  • Designing and developing ETL pipelines to achieve a high level of reliability, scalability and security. Sourcing, transforming and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
                                                                  • +
                                                                  • Operating in an Agile development environment.
                                                                  • +
                                                                  • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.
                                                                  • +
                                                                  • Participating in solution build, delivery, support and solving
                                                                  • +
                                                                  • Leading change and communicating impacts to business partners and fellow team members
                                                                  • +
                                                                  • Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget
                                                                  • +
                                                                  • Participating in establishing sound data management practices for the team and the organization
                                                                  • +
                                                                  • Identifying, defining and implementing opportunities for enhancing existing processes
                                                                  • +
                                                                  • Defining and implementing technical test plans and perform unit and integration testing
                                                                  • +
                                                                  +

                                                                  +

                                                                  To succeed in this role, you have:

                                                                  +
                                                                    +
                                                                  • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
                                                                  • +
                                                                  • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
                                                                  • +
                                                                  • +Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
                                                                  • +
                                                                  • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
                                                                  • +
                                                                  • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
                                                                  • +
                                                                  • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required
                                                                  • +
                                                                  • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                                                                      +
                                                                    • Azure Databricks using Python
                                                                    • +
                                                                    • Azure Functions v2/3 using C# or Python
                                                                    • +
                                                                    • Azure Machine Learning
                                                                    • +
                                                                    +
                                                                  • +
                                                                  • Experience with on-premise SQL Server Data Tools
                                                                  • +
                                                                  • Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies
                                                                  • +
                                                                  +

                                                                  +

                                                                  Education

                                                                  +
                                                                    +
                                                                  • Bachelor’s Degree in an appropriate field of study or equivalent work experience
                                                                  • +
                                                                  • Certifications in Azure Data Engineer and/or Azure DevOps Engineer Expert
                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Our story:

                                                                  +

                                                                  Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                  +

                                                                  +

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  +
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Engineer_JR-4503?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-04T20:03:07.682Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/192003395-senior-data-engineer-13-month-contract-at-omers,,expired,2023-02-02T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +dc36108f-b62d-47f7-b306-b54ea620191b,192033518,Thales,Researcher in Autonomous Transportation,on_site,"Toronto, ON, Canada",2023-02-02T21:17:22.301Z,"

                                                                  Thales people architect solutions that support 85 million mainline and

                                                                  +

                                                                  +

                                                                  suburban passenger journeys, worldwide, every day. Our Rail Signalling

                                                                  +

                                                                  and Communication systems are used on metro lines across major cities,

                                                                  +

                                                                  and 72,000 kms of route, 52,000 trains per day in 16 countries are

                                                                  +

                                                                  controlled by our Traffic Management Systems. Together We deployed the

                                                                  +

                                                                  first-ever nationwide ticketing system which processes over 50 million

                                                                  +

                                                                  ticketing transactions in 100 cities daily.

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Thales

                                                                  +

                                                                  provides world-leading Communications-Based Train Control (CBTC) and

                                                                  +

                                                                  interlocking for mass rail transit applications globally. The Centre of

                                                                  +

                                                                  Competence for Urban Rail Signalling is located right before you at

                                                                  +

                                                                  mid-town Toronto. As the largest office in Canada, we house a department

                                                                  +

                                                                  for every step of the Software Development Lifecycle (SDLC)! This

                                                                  +

                                                                  includes Software, Hardware, Systems Design, Verification &

                                                                  +

                                                                  Validation, Operations, etc. The supporting corporate shared services

                                                                  +

                                                                  teams in Finance, Human Resources and IT is also located at the office.

                                                                  +

                                                                  Our office space was designed to provide a sustainable, healthy

                                                                  +

                                                                  workplace that expresses TRSS’s brand while increasing collaboration.

                                                                  +

                                                                  Features include Greenguard furniture, EnergyStar appliances,

                                                                  +

                                                                  low-emitting adhesives, sealants, and sliding glass doors on internal

                                                                  +

                                                                  offices provide daylight and views to the outside. Come join the big

                                                                  +

                                                                  Transport family, here in Toronto!

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  The primary responsibility of the Researcher in Autonomous Transportation is to lead the research and development of complex system using traditional and cutting-edge vision sensors (e.g., camera, LiDAR) as well as the supporting tools for Autonomous Transportation Solutions. The researcher must drive the design process of the systems or sub-systems that contain modules implementing algorithms within his/her established expertise in data analytics, computer vision, machine learning, control theory and artificial intelligence. The researcher must provide technical advice to R&T members and other departments regarding the latest scientific developments in the core areas autonomous transportations and supporting tools, identifying opportunities for new product offerings or enhanced functionality for enabling the Autonomous transportation product line. The researcher must design, implement and test the feasibility, robustness and performance of the solutions in order to meet the system design and safety requirements. The researcher must present written reports of the system performance evaluation to the R&T team as well as senior management stakeholders. Alongside these responsibilities and aligned with the natural progression of this role into technical management, the researcher must lead other team members supporting the development and implementation of the systems.

                                                                  +

                                                                  +

                                                                  Key Job Functions:

                                                                  +
                                                                    +
                                                                  • Participate in the technical analysis and modelling of very complex, real-time, autonomous system use cases
                                                                  • +
                                                                  • Provide inputs to define system architecture and operation for new research concepts for application in urban rail solutions
                                                                  • +
                                                                  • Translate safety requirements for new autonomous transportation product offerings into test suites for the underlying machine vision, artificial intelligence, sensor fusion and adaptive control algorithms and their implementations
                                                                  • +
                                                                  • Oversee the design and implementation of prototype systems using computer vision and machine learning modules; manage the integration of software and hardware on experimental platforms
                                                                  • +
                                                                  • Support overall design solution to product definition including system architecture, failure mode analysis and system redundancy for R&T projects
                                                                  • +
                                                                  • Participate and provide inputs to the design and implementation of a set of progressively more complex ‘proof of concept’ platforms
                                                                  • +
                                                                  • Perform prototyping in simulation environments and with “proof of concept” platforms
                                                                  • +
                                                                  • Ensure that safety is built into the design by early identification of potential issues based both on the proposed system architecture and on its individual modules/functions.
                                                                  • +
                                                                  • Participate in ‘hands on’ development, integration, field testing and analysis of results
                                                                  • +
                                                                  • Work with multiple sensors and help develop the latest software algorithms to control complex, safety critical systems
                                                                  • +
                                                                  • Participate in the design, and review of test software applications required to support various R&T projects
                                                                  • +
                                                                  • Analyze and communicate results of simulations and/or experimental tests, formulating methodologies and developing tools as needed to collect, process, analyze and visualize large datasets
                                                                  • +
                                                                  • Prepare written and oral reports, following a sound, evidence-based methodology to analyze, solve, document and present proposed solutions to technical problems
                                                                  • +
                                                                  • Prepare and present reports to different stakeholders, from internal technical groups, senior management, clients and external collaborators
                                                                  • +
                                                                  • Write maintainable, reusable code, leveraging test-driven principles to develop high-quality computer vision and machine learning modules
                                                                  • +
                                                                  • Conduct code reviews for junior members of the team to ensure the highest code quality in computer vision and machine learning components
                                                                  • +
                                                                  • Act as a technical leader, internal consultant, and scientific liaison for autonomous transportation, keeping up to date with the latest scientific developments in the field, identifying opportunities for new product offerings or enhanced functionality, and conceiving, organizing and leading activities to communicate this knowledge to the R&T team
                                                                  • +
                                                                  • Act as a mentor and subject matter expert within the team and with other key stakeholders
                                                                  • +
                                                                  • Contribute to the development of strategic intellectual property for autonomous urban mobility, identifying and assessing innovation opportunities, and promoting an IP-focused development strategy among team
                                                                  • +
                                                                  • Provides technical support to product team and other departments as required to help with productization of new solutions
                                                                  • +
                                                                  • Prepare and review technical reports and provide findings and solutions to challenging research problems
                                                                  • +
                                                                  • Keep abreast of relevant technology developments in the industry and academia as related to R&T projects
                                                                  • +
                                                                  +

                                                                  +

                                                                  Key Requirements:

                                                                  +
                                                                    +
                                                                  • A PhD or minimum of a Masters in Electrical & Computer Engineering, Computer Science, Robotics, Mechatronics, or a related field.
                                                                  • +
                                                                  • 4+ years of relevant work experience in the design, analysis, implementation and testing of autonomous transportation systems, at least 2 years non-concurrent with the PhD or Masters.
                                                                  • +
                                                                  • Expert-level knowledge and project-based experience in computer vision methods, such as 3D sensing, object detection, point cloud registration
                                                                  • +
                                                                  • Knowledge and project-based experience in machine learning and artificial intelligence methods
                                                                  • +
                                                                  • Ability to work comfortably with the mathematical and statistical theory, methods and computer implementations underpinning new product offerings for autonomous urban mobility
                                                                  • +
                                                                  • Proficiency in Python and C/C++, other languages are an asset
                                                                  • +
                                                                  • Knowledge of best practices in code development, documentation and version control
                                                                  • +
                                                                  • Knowledge and hands-on experience with ROS, QNX, and/or other software platforms for autonomous systems
                                                                  • +
                                                                  +

                                                                  +

                                                                  Preferred Qualifications:

                                                                  +
                                                                    +
                                                                  • Ability to communicate effectively (both written and verbally) with team members, senior management, customers and external collaborators
                                                                  • +
                                                                  • Ability to work within a dynamic work environment, with changing priorities and deadlines
                                                                  • +
                                                                  +

                                                                  +

                                                                  #LI-Hybrid

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                                                  ",,https://gtsgbu.wd3.myworkdayjobs.com/Careers/job/Toronto/Researcher-in-Autonomous-Transportation_R1001255-1,aitalent@vectorinstitute.ai,https://www.thalesgroup.com/en/career,,,2023-03-04T21:17:24.167Z,True,0,29,178,https://talenthub.vectorinstitute.ai/jobs/192033518-researcher-in-autonomous-transportation-at-thales,,expired,2023-02-02T21:17:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, +a2247098-0d4f-4fca-9378-a4fdfe03b336,192002196,Scotiabank,"Manager, Customer Intelligence",on_site,Canada : Ontario : Toronto,2023-02-02T17:22:03.988Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 172810

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose:

                                                                  +


                                                                  The Customer Analytics team of Tangerine is seeking a Manager, Customer Intelligence to support various business lines, including digital and innovation teams, in building exceptional customer experience and in growing their business portfolios through data and analytics-driven insights.
                                                                  The incumbent contributes to the overall success of Tangerine by ensuring individual goals are executed and successfully delivered in support of the overall business targets and objectives. She/he also ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                  +



                                                                  Accountability #1

                                                                  +


                                                                  • Liaise directly with retail lending product teams to provide strategic analysis that will assist the business grow Tangerine’s customer base.
                                                                  • Develop reporting and analytics to support the Money Out Growth Squad (Credit Card, Line of Credit, RSP Loans, Mortgages).
                                                                  • Collaborate with Business Intelligence, Digital Analytics, Data Science and Marketing teams supporting initiatives to enhance campaign performance.
                                                                  • Define and deliver campaign target lists for all campaigns related to retail lending products.
                                                                  • Generate pre-campaign analysis and post campaign reporting and analytics.
                                                                  • Provide deep-dive analysis to fully understand campaign performance and adjust if necessary.

                                                                  +

                                                                  +

                                                                  Accountability #2

                                                                  +


                                                                  • Optimize ongoing reporting and analytics capabilities for the Squad using Google Cloud Platform (Looker, BigQuery)
                                                                  • Develop analytics to support new initiatives including new lending products and marketing strategies.
                                                                  • Identify customer and product trends for opportunities or issues for future marketing initiatives.

                                                                  +

                                                                  +

                                                                  Education/Experience:

                                                                  +


                                                                  • Masters / advanced degree in Statistics, Mathematics, Economics, MBA, FSA, or a PhD
                                                                  • Proven expert in analytics, data management and performance measurement
                                                                  • Exceptional business planning, strategy development and execution skills
                                                                  • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
                                                                  • Strong data set preparation and creation skills
                                                                  • Advanced skills in analytics execution (e.g., SQL, R, Python, Spark)
                                                                  • Proficient in BI tools such as Looker/DataStudio, PowerBI or Tableau
                                                                  • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
                                                                  • Demonstrated strong attention to detail, problem-solving, and critical thinking
                                                                  • Previous experience working on Google Cloud Platform (GCP) an asset
                                                                  • Previous experience working on product and campaign analytics is strongly preferred

                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Customer-Intelligence-ON-M2H0A1/567405417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-04T19:48:12.058Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/192002196-manager-customer-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Customer-Intelligence-ON-M2H0A1/567405417/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +0b321b20-79d0-4c54-b1c2-f0460ac194cf,200118227,Sun Life Financial,Senior Campaign Data Analyst (Fixed term),on_site,"Ontario, Canada",2023-02-27T17:41:07.559Z,"

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  Job Description:

                                                                  -

                                                                  Do you have a passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                  -

                                                                  The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                  -

                                                                  -

                                                                  As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                  -

                                                                  You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                  -

                                                                  To achieve this, we will be leveraging many systems across Sun Life, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                  +

                                                                  Role Summary

                                                                  +

                                                                  Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                                                                  +

                                                                  As a member of the CXO Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience.

                                                                  +

                                                                  As Senior Campaign Data Analyst, you will leverage our vast data, SAS and Big Data capabilities to enable these objectives by designing marketing campaigns and delivering data solutions for our inbound and outbound channels. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                                                                  +

                                                                  This is a fixed term position for 12 months. It offers partial benefits and 4 weeks vacation.

                                                                  +

                                                                  What will you do?

                                                                    -
                                                                  • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                  • -
                                                                  • Analytic work from requirements specification, data gathering, analysis of presentations to solve business problems.
                                                                  • -
                                                                  • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                  • -
                                                                  • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                  • -
                                                                  • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                  • -
                                                                  • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                  • -
                                                                  • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. -
                                                                  • -
                                                                  • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                                                  • +
                                                                  • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders

                                                                  • +
                                                                  • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs

                                                                  • +
                                                                  • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements

                                                                  • +
                                                                  • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements

                                                                  • +
                                                                  • Support stakeholders and third parties throughout the campaign implementation process

                                                                  • +
                                                                  • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                                                                  • +
                                                                  • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are fairly complex.

                                                                  • +
                                                                  • Manage multiple campaigns simultaneously

                                                                  • +
                                                                  +
                                                                    +
                                                                  • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                                                                  • +
                                                                  • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight

                                                                  • +
                                                                  • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                  • +
                                                                  • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences

                                                                  • +
                                                                  • Liaise with stakeholders across other teams to resolve discrepancies

                                                                  • +
                                                                  • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                                                                  • +
                                                                  • Support campaign target list generation, analyses, measurement and reporting

                                                                  -

                                                                  What do you need to succeed?

                                                                  +

                                                                  What will you need to succeed?

                                                                    -
                                                                  • 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                  • -
                                                                  • 5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                  • -
                                                                  • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                  • -
                                                                  • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                  • -
                                                                  • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                  • -
                                                                  • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                  • -
                                                                  • Comfortable learning new applications and processes quickly with minimal direction
                                                                  • -
                                                                  • Ability to document work.
                                                                  • +
                                                                  • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                                                                  • +
                                                                  • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns and business.

                                                                  • +
                                                                  • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                                                                  • +
                                                                  • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                                                                  • +
                                                                  • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                                                                  • +
                                                                  • +

                                                                    The candidates must have relevant experience in the following areas:

                                                                    +
                                                                      +
                                                                    • Knowledge of Inbound and Outbound campaigns

                                                                    • +
                                                                    • Knowledge on the data needs for analytics and campaigns

                                                                    • +
                                                                    • Communication and liaison experience between business, analytics and IT

                                                                    • +
                                                                    +

                                                                  -

                                                                  What will be nice to have?

                                                                  +

                                                                  Unique Requirements

                                                                    -
                                                                  • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                  • -
                                                                  • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                  • -
                                                                  • Experience in Salesforce
                                                                  • -
                                                                  • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                  • -
                                                                  • Additional statistical programming languages (i.e SAS/R)
                                                                  • -
                                                                  • Advanced user of MS Excel and MS Access
                                                                  • +
                                                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                  • +
                                                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  -

                                                                  Unique Requirements?

                                                                  +

                                                                  What will be nice to have?

                                                                    -
                                                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                  • -
                                                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                                                  • +
                                                                  • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g. SAS RTDM)

                                                                  • +
                                                                  • General programming language knowledge and basic application design

                                                                  • +
                                                                  • Some technical writing, report analysis and PowerPoint presentation creation

                                                                  -

                                                                  What’s in it for you?

                                                                  +

                                                                  What\'s In It For You?

                                                                    -
                                                                  • Great Place to Work® Certified in Canada and the US - 2022
                                                                  • -
                                                                  • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                  • -
                                                                  • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                  • -
                                                                  • Canada Award for Excellence for Mental Health at Work
                                                                  • -
                                                                  • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.
                                                                  • +
                                                                  • Great Place to Work® Certified in Canada and the US - 2022

                                                                  • +
                                                                  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                  • +
                                                                  • Named “Best Places to Work” by Glassdoor - 2021

                                                                  • +
                                                                  • Canada Award for Excellence for Mental Health at Work - 2021

                                                                  • +
                                                                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid # LI- Remote

                                                                  • +
                                                                  • Competitive salary and bonus structure influenced by market range data

                                                                  • +
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                                  • +
                                                                  • A friendly, collaborative, and inclusive culture

                                                                  • +
                                                                  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                  • +
                                                                  • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                  • +
                                                                  • A common sense dress code, where you decide how you dress based on your day

                                                                  • +
                                                                  • The opportunity to move along a variety of career paths with amazing networking potential

                                                                  -

                                                                  #LI-Hybrid #LI-remote

                                                                  -

                                                                  -

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  @@ -62169,511 +61880,903 @@ c423fa42-52a5-40e6-b661-ef7b4d88f572,303083873,Sun Life Financial,Senior Data An

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  -

                                                                  Salary Range:

                                                                  76,000/76 000 - 125,000/125 000

                                                                  +

                                                                  Salary Range:

                                                                  74,100/74 100 - 120,800/120 800

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  -

                                                                  Posting End Date:

                                                                  01/02/2024
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00089806?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-05T06:49:02.367Z,False,0,6,54,https://talenthub.vectorinstitute.ai/jobs/303083873-senior-data-analyst-at-sun-life-financial,,expired,2024-01-29T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c2ad0a2c-909e-4622-beda-300ec01a17b1,301109156,BMO Financial Group,"Risk Analyst, Summer 2024 (Co-op/Internship) – 4 Months",on_site,"Ontario, Canada",2024-01-18T06:25:01.536Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  02/11/2024

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                                                  -

                                                                  -

                                                                  Our student experience programming is designed to integrate you into Team BMO from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO Social Squad student-led activities, BMO U corporate learning platform, and access to various Employee Resource Groups to further develop your network within BMO.

                                                                  -

                                                                  -

                                                                  Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                                                  -

                                                                  -

                                                                  Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Students who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                                                  +

                                                                  Posting End Date:

                                                                  12/03/2023
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-term-_JR00074404?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-06T17:46:01.536Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/200118227-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-02-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +91272fe6-7bca-4638-8541-ad7979560d1e,194556477,Shopify Inc.,"Senior Data Scientist, Banking & Accounting",on_site,"Ontario, Canada",2023-02-09T17:42:04.654Z,"

                                                                  About the role

                                                                  +

                                                                  Shopify is the world\'s first \'retail operating system\'. It has evolved over 17 years of making commerce better for everyone. Leveraging our data has always been essential to this mission. Our Financial Services are powered by algorithms that benefit merchants, not just through their data, but through the entire history of commerce on Shopify.

                                                                  +

                                                                  The Banking and Accounting team builds products to extend the financial capabilities for small and medium-sized businesses. It is a cross-functional team with data scientists, engineering, design, and product sitting collectively at the table.

                                                                  +

                                                                  As a Senior Data Scientist, you’ll help build future financial products used by millions of Shopify merchants, collaborating with technical and non-technical stakeholders across the company. You’ll mentor other data scientists and operate as a technical guide for the team. If you enjoy working in financial services and building greenfield products, this role is for you.

                                                                  +


                                                                  +

                                                                  Qualifications

                                                                  +

                                                                  You will need to have:

                                                                  +
                                                                    +
                                                                  • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                  • +
                                                                  • Deep understanding of advanced SQL techniques
                                                                  • +
                                                                  • Proven expertise in designing and running experiments, and a track record of more advanced testing methods beyond A/B Testing
                                                                  • +
                                                                  • Experience building data pipelines and driving ETL design decisions
                                                                  • +
                                                                  • Experience building machine learning models (e.g. propensity models, recommendation system, risk, credit and trust models)
                                                                  • +
                                                                  • Proven track record creating data product strategies, shipping data products, iterating after launch, and trying again
                                                                  • +
                                                                  • Strong ability to prioritize and communicate to technical and non-technical audiences alike
                                                                  • +
                                                                  • Experience with leading projects and mentoring other data scientists
                                                                  • +
                                                                  +

                                                                  It would be great if you have:

                                                                  +
                                                                    +
                                                                  • Experience working with commercial organizations (e.g. Sales, Marketing, Account Management, Risk Management, Support)
                                                                  • +
                                                                  • Experience working at a fintech company or financial services company
                                                                  • +
                                                                  • Experience setting up experiments in commercial organizations
                                                                  • +
                                                                  • Previous experience working at a large technology company
                                                                  • +
                                                                  +

                                                                  We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.

                                                                  +
                                                                  ",,https://www.shopify.com/ca/careers/senior-data-scientist-banking-accounting-remote-americas_4f737e20-6443-4c29-8dc9-0995ffb64adc,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,7,26,https://talenthub.vectorinstitute.ai/jobs/194556477-senior-data-scientist-banking-accounting-at-shopify-inc,,expired,2023-02-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +d9ec37f6-12c3-46e5-94da-2267bd3e8e52,197909521,CN,"Intern, Quality and Analysis – Asset Planning and Quality",on_site,"Ontario, Canada",2023-02-19T17:42:10.399Z,"
                                                                  +

                                                                  At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                  -

                                                                  By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                                                  -

                                                                  -

                                                                  -

                                                                  Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                  +

                                                                  Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Quality and Analysis – Asset Planning and Quality position in Edmonton, AB for summer 2023 (May – August).

                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  The Intern, Quality and Analysis – Asset Planning and Quality is responsible for developing an understanding of techniques used in the rail and logistics sector, in order to leverage large datasets, to provide insights for operations planning, and to develop tools and reports for Network Operations and Planning and other teams. The role reports directly with the Manager, Quality and Analysis, and works independently and provides daily or weekly reports on the progress and the challenges incurred.

                                                                  +

                                                                  Major Responsibilities

                                                                  +

                                                                  Create Next Generation analytic tool for CN Key Operating Metrics

                                                                    -
                                                                  • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                                  • -
                                                                  • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                                  • -
                                                                  • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                                  • -
                                                                  • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                                  • -
                                                                  • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                                  • -
                                                                  • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                                                                  • -
                                                                  • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                  • -
                                                                  • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                                  • -
                                                                  • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                                  • -
                                                                  • Provides information and supports the process for internal and external audits.
                                                                  • -
                                                                  • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                                  • -
                                                                  • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                  • -
                                                                  • Builds effective relationships with internal/external stakeholders.
                                                                  • -
                                                                  • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                                  • -
                                                                  • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                  • -
                                                                  • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                  • -
                                                                  • Organizes work information to ensure accuracy and completeness.
                                                                  • -
                                                                  • Focus may be on a business/group.
                                                                  • -
                                                                  • Thinks creatively and proposes new solutions.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works mostly independently.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.


                                                                    Qualifications:

                                                                    -
                                                                  • -
                                                                  • As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                                                                  • -
                                                                  • Knowledge of risk management metrics, KPIs and KRIs.
                                                                  • -
                                                                  • Knowledge of industry trends and regulatory requirements for risk reporting.
                                                                  • -
                                                                  • Product knowledge for the designated business/portfolio.
                                                                  • -
                                                                  • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                  • -
                                                                  • Knowledge of reporting & analytics concepts and applications.
                                                                  • -
                                                                  • Knowledge of risk systems technology.
                                                                  • -
                                                                  • Specialized knowledge from education and/or business experience.
                                                                  • -
                                                                  • Verbal & written communication skills - In-depth.
                                                                  • -
                                                                  • Collaboration & team skills - In-depth.
                                                                  • -
                                                                  • Analytical and problem solving skills - In-depth.
                                                                  • -
                                                                  • Influence skills - In-depth.
                                                                  • +
                                                                  • Use the current Morning Network Overview (MNO) report as the base to be enhanced
                                                                  • +
                                                                  • Create a next generation tool that replicates the delivery of CN’s key metrics in a more interactive and intuitive manner
                                                                  • +
                                                                  • Create and maintain an updated catalogue of CN’s Key Metrics Library that provides more information on data mining for ad-hoc users (e.g. provide Structured Query Language (SQL) sample code to extract the base data for each measure, develop and implement a more effective method to update and maintain metadata)
                                                                  • +
                                                                  • Respond to any inquisitions on data irregularities or requests
                                                                  • +
                                                                  +

                                                                  Develop an Operating Metrics Trend Analysis and Forecaster

                                                                  +
                                                                    +
                                                                  • Utilize data mining techniques to gather pertinent data for analysis
                                                                  • +
                                                                  • Perform statistical analysis on historical data to determine any correlations between CN’s forecast files and historical performance metrics
                                                                  • +
                                                                  • Develop a process to forecast certain metrics based on CN’s Revenue Forecast
                                                                  • +
                                                                  • Determine relationships between operating performance metrics through statistical analysis
                                                                  • +
                                                                  • Leverage relational databases and write SQL to prepare data
                                                                  • +
                                                                  • Communicate insights using visualization and reporting software (e.g. Tableau)
                                                                  • +
                                                                  +

                                                                  Enhance Internal Operating Metrics in SharePoint

                                                                  +
                                                                    +
                                                                  • Maintain the catalogue of Operating Metrics reports and tools in SharePoint
                                                                  • +
                                                                  • Collaborate with stakeholders on the utility of reports, refine, and decommission
                                                                  • +
                                                                  • Develop the metadata to guide users to helpful resources and evangelize the tool
                                                                  • +
                                                                  +

                                                                  Requirements

                                                                  +
                                                                    +
                                                                  • Strong knowledge of Structured Query Language (SQL), and Database fundamentals
                                                                  • +
                                                                  • Knowledge of statistics, analytical methods, software development and programming
                                                                  +

                                                                  Education

                                                                  +
                                                                  • Working towards a Bachelor’s Degree in Computing Science, Computer Engineering, Electrical Engineering, Data Science, Statistics or similar discipline (minimum of 2 years completed)
                                                                  +


                                                                  +

                                                                  +

                                                                  +

                                                                  About CN

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9966?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,5,23,https://talenthub.vectorinstitute.ai/jobs/197909521-intern-quality-and-analysis-asset-planning-and-quality-at-cn,,expired,2023-02-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +fbab2fad-138a-4e82-b7ad-15f4bf783a4e,197116704,OMERS,"Student, GIS Data & Analytics (Summer 2023, 4 Months)",on_site,"Ontario, Canada",2023-02-16T17:42:03.270Z,"
                                                                  +

                                                                  Why join us?

                                                                  +

                                                                  Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                                  At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  +

                                                                  We are looking for a highly motivated, detail-oriented GIS data & analytics Co-op to join our National Strategic Marketing team to support entire Oxford Retail Portfolio in using geographic data and technology to make informed decisions and drive business results. Our primary focus is to provide actionable insights to retail business using data alongside traditional and non-traditional research. The position is an essential part of Strategic Marketing team at Oxford as you will have opportunity to help us change the landscape of commercial Retail. The Co-op will be an integral member of Advanced Analytics and Research team and be responsible for a wide range of activities across the Retail sector with opportunity to apply GIS knowledge on every aspect of Oxford Retail.

                                                                  +

                                                                  +

                                                                  As a member of this team, you will be responsible for:

                                                                  +
                                                                    +
                                                                  • Leverage geographic data and research to support the development of strategies and objectives by channel, business unit, and brands
                                                                  • +
                                                                  • Build trade area maps of different Oxford properties and conduct data driven research to optimize the retail operations using GIS software
                                                                  • +
                                                                  • Collect data on consumers, competitors, and marketplace; consolidate data into actionable insights
                                                                  • +
                                                                  • Work with different retail stakeholders to understand their needs and build dashboards, reports to help them achieve their goals
                                                                  • +
                                                                  • Work with team to innovate and build reports, dashboards, and other data products using (both geographic and other data sources) to enhance decision making and daily operations across different retail assets
                                                                  • +
                                                                  • Conduct customer surveys to build customer profile, understand customer needs and sentiments
                                                                  • +
                                                                  • Optional- opportunity to shadow data scientists to learn how to build customer segments and build predictive models to optimize operations
                                                                  • +
                                                                  +

                                                                  To succeed in this role, you are:

                                                                  +
                                                                    +
                                                                  • Working towards completion of an undergraduate degree (preferably with a targeted graduation date in 2024) with a concentration in GIS or other similar disciplines
                                                                  • +
                                                                  • Working knowledge of GIS software like Arc GIS
                                                                  • +
                                                                  • Working knowledge of geographic and demographic data is required
                                                                  • +
                                                                  • Working knowledge of creating dashboards using Tableau & Power Bi
                                                                  • +
                                                                  • Self-motivated individual with a strong work ethic and a high level of attention to detail
                                                                  • +
                                                                  • Ability to communicate clearly, concisely, and accurately (both verbal and written)
                                                                  • +
                                                                  • Ability to meet tight deadlines and to manage conflicting priorities
                                                                  • +
                                                                  • Excellent interpersonal skills
                                                                  • +

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Analyst--Summer-2024--Co-op-Internship----4-Months_R230021870-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2024-02-05T22:20:00.000Z,False,0,10,109,https://talenthub.vectorinstitute.ai/jobs/301109156-risk-analyst-summer-2024-co-op-internship-4-months-at-bmo-financial-group,,expired,2024-01-18T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -5d68f1d1-62f2-43f0-b83d-4b9c765f75f7,217086529,Invision AI,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2023-04-20T21:01:40.454Z,"

                                                                  Please note: Invision AI is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023. For event registration, click here

                                                                  About Us
                                                                  Our mission is to see and understand the world. Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space.

                                                                  -

                                                                  We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                                                  We are looking for a motivated and skilled Machine Learning Engineer to join our team in Toronto.

                                                                  +

                                                                  +

                                                                  Our story:

                                                                  +

                                                                  Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                                  +

                                                                  +

                                                                  For more information on Oxford, visit www.oxfordproperties.com

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  +
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Business-Data-Scientist--Winter-2023--4-Months-_JR-3786?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-06T17:47:10.306Z,False,0,17,77,https://talenthub.vectorinstitute.ai/jobs/197116704-student-gis-data-analytics-summer-2023-4-months-at-omers,,expired,2023-02-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +17cf706e-5198-4d15-ac50-efad339a5c74,198987551,TD Bank Group,Business Application Analyst III,on_site,"Toronto, ON",2023-02-23T17:24:05.231Z,"
                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  +

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  +
                                                                  +

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  +

                                                                  Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

                                                                  +

                                                                  We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

                                                                  +

                                                                  Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

                                                                  +

                                                                  If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  +

                                                                  KEY ACCOUNTABILITIES
                                                                  CUSTOMER

                                                                    -
                                                                  • Deep knowledge and experience with Machine Learning algorithms, especially for object detection and classification. Experience in object tracking is a plus.
                                                                  • -
                                                                  • Good coder in Python; willing to go through rigorous code reviews
                                                                  • -
                                                                  • Clear and concise communicator
                                                                  • -
                                                                  • Find solutions that are pragmatic; realize that cutting-edge methods from literature are risky in terms of how well they work and often not necessary to complete a task
                                                                  • +
                                                                  • Responsible for intake of projects and major initiatives
                                                                  • +
                                                                  • Responsible for the documentation of all business owned artifacts that are required for projects and major initiatives as defined by the bank’s Project Delivery Life Cycle (PDLC) methodology
                                                                  • +
                                                                  • Responsible for business process documentation for all business applications owned/managed
                                                                  • +
                                                                  • Responsible for day to day operations process management to ensure consistency, and delivery according to established SLA
                                                                  • +
                                                                  • Responsible for all Business Acceptance Test (BAT) documentation that is required for all projects and major initiatives as defined by the bank’s project delivery methodology
                                                                  • +
                                                                  • Responsible for the execution of all BAT testing for projects and/or release maintenances
                                                                  • +
                                                                  • Responsible for working with Technology to establish a partnership and ensure all business requirements and Data Governance requirements are met
                                                                  • +
                                                                  • Provide support on deployment and change management for initiatives relating to applications owned / managed
                                                                  • +
                                                                  • Review requirements specifications to provide timely and meaningful feedback
                                                                  • +
                                                                  • Provide feedback and thoughts on possible solutions to issues/risks arising throughout the life cycle of a project, including adherence to enterprise application / data lifecycle practices
                                                                  • +
                                                                  • Identify and escalate risks that could impact project timelines or the quality of the deliverables to project manager and business owner, provide options and recommendation
                                                                  • +
                                                                  • Act as an escalation point for application and operation issues both directly and through internal/external business partners (including external vendors)
                                                                  • +
                                                                  • May provide project management support to various extents
                                                                  -

                                                                  Job Description:

                                                                  -

                                                                  You will be in charge of the following tasks:

                                                                  +

                                                                  SHAREHOLDER

                                                                    -
                                                                  • Design and implement solutions in python; verify and test, go through MR process
                                                                  • -
                                                                  • Review other people’s code and give feedback
                                                                  • -
                                                                  • Participate in daily standup and other team meetings
                                                                  • -
                                                                  • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                                                  • -
                                                                  • Occasionally annotate data - Design and implement solutions in python; verify and test, go through MR process
                                                                  • -
                                                                  • Review other people’s code and give feedback
                                                                  • -
                                                                  • Participate in daily standup and other team meetings
                                                                  • -
                                                                  • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                                                  • -
                                                                  • Occasionally annotate data
                                                                  • +
                                                                  • Act as a decision maker on projects within scope—responsible for getting input from the appropriate SMEs in order to make decisions
                                                                  • +
                                                                  • Accountable for adhering to the EPMO project management methodology
                                                                  • +
                                                                  • Ensure adherence to the Data Governance Framework
                                                                  • +
                                                                  • Ensure adherence to guidelines and regulatory requirements under Privacy, Legal, Compliance, and the Office of the Chief Data Officer
                                                                  • +
                                                                  • Demonstrated ability to build relationships within the team and with key stakeholders
                                                                  • +
                                                                  • Continuously enhance knowledge/expertise in own area and keep current with leading-edge technologies trends/developments
                                                                  • +
                                                                  • Continuously enhance knowledge of business domains and their products/services
                                                                  • +
                                                                  • Support the development of business cases including benefits identification
                                                                  • +
                                                                  • Support and/or implement solutions that mitigate risk and maximizes the availability of service, efficiency and effectiveness
                                                                  -

                                                                  Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space. We have developed a number of unique technical innovations incorporated into a central AI platform. We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                                                  -

                                                                  As a company, we distinguish ourselves by taking an integrated hardware-software approach throughout all our products as we constantly iterate between sensors (cameras, LiDAR, radar), their geometries and the associated vision and artificial intelligence algorithms. This has consistently allowed us to achieve industry-leading accuracy and reliability. We build lightweight, cost-effective, edge solutions: we locate compute nodes close to the sensors (as opposed to in the cloud) and leverage distributed compute and wireless transmission where needed.

                                                                  -

                                                                  We enjoy finding principled and practical solutions that mix computer vision, machine learning and software engineering.

                                                                  ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://www.invision.ai,,,2023-05-20T21:02:00.000Z,True,33,0,476,https://talenthub.vectorinstitute.ai/jobs/217086529-machine-learning-engineer-at-invision-ai,,expired,2023-05-08T21:01:00.000Z,admin,Startup (1-19),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, -81019ab0-51d4-4f47-aca3-0c04b0866053,217073698,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-04-20T17:24:02.615Z,"
                                                                  -

                                                                  Company Overview

                                                                  -
                                                                  -

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  -

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  -
                                                                  -

                                                                  -

                                                                  Department Overview

                                                                  -
                                                                  -

                                                                  The TD Securities Chief Data Office (TDS-CDO) aims to operate, organize, govern and monetize TDS data assets. This is achieved through four strategic pillars:

                                                                  -
                                                                    -
                                                                  • Make Data Accessible
                                                                  • -
                                                                  • Secure & Govern Data
                                                                  • -
                                                                  • Create Tools & Enable Others to Use Them
                                                                  • -
                                                                  • Derive Value from Data
                                                                  • -
                                                                  -

                                                                  In doing so, the TDS-CDO enables the dealer with a focus on:

                                                                  -
                                                                    -
                                                                  • Grow: Service clients, monetize data & allocate resources
                                                                  • -
                                                                  • Protect: Manage Risk & Regulatory Compliance
                                                                  • -
                                                                  • Standardize: Achieve technology & operational efficiencies
                                                                  • -
                                                                  • Develop: Data Driven Culture
                                                                  • -
                                                                  -
                                                                  -

                                                                  -

                                                                  Job Description

                                                                  -
                                                                  -

                                                                  About this Role

                                                                  -

                                                                  Reporting to the AVP, Data Governance in the Chief Data Office, the Data Steward I will be responsible to support the implementation of data governance and related data management activities for TD Securities.

                                                                  -

                                                                  Job Accountabilities:

                                                                  -
                                                                    -
                                                                  • Support the TDS-CDO in accordance with the Enterprise Data Policy, Standards and Strategy
                                                                  • -
                                                                  • Provides data governance expertise and executes data governance activities
                                                                  • -
                                                                  • Contribute to various operational activities and processes as assigned
                                                                  • -
                                                                  • Be knowledgeable of data management practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
                                                                  • -
                                                                  • Assist and help drive the automation of the Data management practices including metadata, data lineage, authoritative sources, data usage, data quality rules, etc.
                                                                  • -
                                                                  • Be knowledgeable of data management tools related to metadata, lineage, data quality, etc. (e.g.: Collibra, Alation, Informatica, Ataccama, etc.)
                                                                  • -
                                                                  • Advises and consults with projects related to implementation of data management practices during system development (data impact analysis, quality controls, data lineage, etc.)
                                                                  • -
                                                                  • Develop and/or prepare applicable business metrics / standard / ad hoc reporting in collaboration with partners and stakeholders for data governance/management area to help inform or support decisions as appropriate
                                                                  • -
                                                                  • Conduct internal and external research projects; support the development / delivery of presentations / communications to management or broader audience
                                                                  • -
                                                                  • Conduct reporting and / or meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies /
                                                                  • -
                                                                  • Support the development of presentations /communications and dissemination of information
                                                                  • -
                                                                  • Coordinate relevant processes /meetings /events that impact the TDS-CDO’s practices
                                                                  • -
                                                                  • Understand department objectives and contribute by recommending appropriate action to management based on analysis and review of results within assigned scope
                                                                  • -
                                                                  • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist
                                                                  • -
                                                                  • Acquire and apply expertise in the discipline, provide guidance, assistance and direction to others
                                                                  • -
                                                                  • Adhere to internal policies/procedures and applicable regulatory guidelines
                                                                  • -
                                                                  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
                                                                  • -
                                                                  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
                                                                  • -
                                                                  • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
                                                                  • -
                                                                  -
                                                                  -

                                                                  -

                                                                  Requirements

                                                                  -
                                                                  What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  -

                                                                  Education/Accreditations:

                                                                  -
                                                                    -
                                                                  • Undergraduate degree or technical certificate and/or
                                                                  • -
                                                                  • 5+ years relevant experience
                                                                  • -
                                                                  -

                                                                  Other Qualifications/Skills/Experience:

                                                                  -
                                                                    -
                                                                  • Solid knowledge of data governance/data management practices, enterprise data policy, standards &strategy
                                                                  • -
                                                                  • Solid knowledge of LOB data strategy, data risk management, and data life cycle management
                                                                  • -
                                                                  • Knowledge of current and emerging competitor and market trends
                                                                  • -
                                                                  • Skill in using analytical software tools, data analysis methods and reporting techniques
                                                                  • -
                                                                  • Skill in using computer applications including MS Office
                                                                  • -
                                                                  • Ability to communicate effectively in both oral and written form
                                                                  • -
                                                                  • Ability to work collaboratively and build relationships
                                                                  • -
                                                                  • Ability to work successfully as a member of a team and independently
                                                                  • -
                                                                  • Ability to exercise sound judgement in making decisions
                                                                  • -
                                                                  • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                                                  • -
                                                                  • Ability to handle confidential information with discretion
                                                                  • -
                                                                  • Knowledge of Basel Data Management Framework is desirable
                                                                  • -
                                                                  -

                                                                  -

                                                                  Additional Information

                                                                  -
                                                                  -#LI-Hybrid #LI-Post
                                                                  -

                                                                  -

                                                                  Hours

                                                                  -
                                                                  37.5
                                                                  -

                                                                  -

                                                                  Inclusiveness

                                                                  -

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-20T18:03:55.491Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/217073698-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,expired,2023-04-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4634ad35-981e-4381-8e7f-46b33dbcac39,217075575,TELUS,"Manager, Data Engineering (MDM)",on_site,"Ontario, Canada",2023-04-20T17:42:03.325Z,"
                                                                  -
                                                                  -

                                                                  Description

                                                                  -
                                                                  -

                                                                  -

                                                                  Our team and what we’ll accomplish together

                                                                  -

                                                                  -

                                                                  We are searching for a talented candidate to become our team’s Manager, MDM & Business Operations Insights. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps of the enterprise data engineering team. The portfolio will focus specifically on the Master Data Management (MDM) workstream while also driving continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, batch and real-time data ingestion, and addressing technical debt. Our team is a cloud first team and leverages the latest technologies to fuel our mission of driving value for TELUS via data enablement.

                                                                  -

                                                                  -

                                                                  What you’ll do

                                                                  -

                                                                  -

                                                                  At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

                                                                  -

                                                                  -

                                                                  +

                                                                  EMPLOYEE / TEAM

                                                                    -
                                                                  • Lead a team of talented data Analysts, Engineers and Architects to drive the modernization of our data platforms
                                                                  • -
                                                                  • Foster internal and external stakeholder relationships, including managing senior executive participants
                                                                  • -
                                                                  • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
                                                                  • -
                                                                  • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings
                                                                  • -
                                                                  • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
                                                                  • -
                                                                  • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
                                                                  • -
                                                                  • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
                                                                  • -
                                                                  • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
                                                                  • -
                                                                  • Support the annual strategic and financial planning process
                                                                  • -
                                                                  • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                                                  • -
                                                                  • Mentor, lead, and support a diverse and very talented team of data professionals
                                                                  • +
                                                                  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                                                                  • +
                                                                  • Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
                                                                  • +
                                                                  • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
                                                                  • +
                                                                  • Participate in personal performance management and development activities, including cross training within own team
                                                                  • +
                                                                  • Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
                                                                  • +
                                                                  • Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
                                                                  • +
                                                                  • Contribute to a fair, positive and equitable environment that supports a diverse workforce
                                                                  • +
                                                                  • Act as a brand champion for your business area/function and the bank, both internally and/or externally
                                                                  • +
                                                                  • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees
                                                                  -

                                                                  -

                                                                  -
                                                                  -
                                                                  -

                                                                  Qualifications

                                                                  -
                                                                  -

                                                                  -

                                                                  What you bring

                                                                  -

                                                                  +

                                                                  +

                                                                  Requirements

                                                                  +
                                                                  +BREADTH & DEPTH

                                                                    -
                                                                  • You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction
                                                                  • -
                                                                  • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
                                                                  • -
                                                                  • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
                                                                  • -
                                                                  • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
                                                                  • -
                                                                  • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
                                                                  • -
                                                                  • You have experience with cloud migration projects, agile methodologies, and DevOps practices
                                                                  • -
                                                                  • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                                                  • -
                                                                  • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                                                  • -
                                                                  • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                                                  • -
                                                                  • You are flexible, adaptable and embrace ongoing change
                                                                  • -
                                                                  • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                                                                  • -
                                                                  • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam), Kafka, MDM, IICS & PowerCentre ETL
                                                                  • -
                                                                  • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectiveness
                                                                  • +
                                                                  • Experienced working professional role providing specialized business application management activities, advisory or process / program support within own area of sociality
                                                                  • +
                                                                  • Advanced knowledge of applications supported by the team including system components, functionality, interfaces, data flows, and business rules
                                                                  • +
                                                                  • Knowledge of bank’s PDLC methodology, business testing and project management
                                                                  • +
                                                                  • Requires experienced, conceptual and practical knowledge within their own specialty and knowledge of broader related areas
                                                                  • +
                                                                  • Advanced understanding of business / functional drivers and processes supported for own area
                                                                  • +
                                                                  • Advanced analytical and problem-solving skills with the ability to communicate with various business partners to explain complex technical issues with a business lens in easily understandable terms
                                                                  • +
                                                                  • Leads projects or work streams within broader projects with moderate risk and complexity, may be accountable for ongoing activities, processes and functional programs
                                                                  • +
                                                                  • Exercises judgment based on the analysis of multiple sources of information
                                                                  • +
                                                                  • Work performed under minimal management guidance and supervision
                                                                  • +
                                                                  • Identify and lead problem resolutions
                                                                  • +
                                                                  • Generally reports to a Manager or Senior Manager
                                                                  -

                                                                  -

                                                                  Great-to-haves

                                                                  -

                                                                  +

                                                                  EXPERIENCE & EDUCATION

                                                                    -
                                                                  • Bachelor of Computer Science or equivalent
                                                                  • -
                                                                  • 5+ years of progressive and relevant work experience with enterprise data
                                                                  • -
                                                                  • PMP certification is an asset
                                                                  • -
                                                                  • Experience with the data offerings in the Google Cloud Platform
                                                                  • -
                                                                  • Experience in the telecommunications industry
                                                                  • -
                                                                  • Excellent communication skills and ability to lead a large team
                                                                  • -
                                                                  -

                                                                  -

                                                                  -
                                                                  -
                                                                  -
                                                                  ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-%28MDM%29-ON/568709417/,feed-importer@jobboard.io,,,,2023-05-20T18:42:04.383Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/217075575-manager-data-engineering-mdm-at-telus,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -8e14e403-e88b-489e-8643-f48aa8e9ea63,221079987,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-05-01T17:41:01.797Z,"
                                                                  -

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description:

                                                                  -

                                                                  -

                                                                  Sr Data Analytics Consultant, Group Disability

                                                                  -

                                                                  -

                                                                  Reporting to the Assistant Vice President, Group Disability Western Canada and National Mental Health Solutions, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for Group Disability Operations and our clients.

                                                                  -

                                                                  -

                                                                  Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our Group Disability stakeholders.

                                                                  -

                                                                  -

                                                                  What will you do?

                                                                  -
                                                                    -
                                                                  • Work directly with Group Disability operations leaders, consultants and clinicians; Group Benefits Market Development, along with data engineers, business data analysts, and data scientists in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts
                                                                  • -
                                                                  • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques
                                                                  • -
                                                                  • Lead and drive data modelling and analysis related to disability claims experience in support of Group Disability and related projects including setting up data for test and learn initiatives for research and development of innovation in disability management
                                                                  • -
                                                                  • Lead consultants in the team on various analytics projects
                                                                  • -
                                                                  • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation.
                                                                  • -
                                                                  • Turn complex data into easy to understand visual insights that are aligned to business objectives
                                                                  • -
                                                                  • Enable visual storytelling through Tableau and visual analytics tools
                                                                  • -
                                                                  • Coach and grow new and interested community of developers and champions within the organization
                                                                  • -
                                                                  -

                                                                  -

                                                                  What will you need to succeed?

                                                                  -

                                                                  -

                                                                  Education and Experience:

                                                                  -
                                                                    -
                                                                  • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                                                                  • -
                                                                  • 3-5 years of experience in:
                                                                  • -
                                                                  • SQL and other languages used in data manipulation
                                                                  • -
                                                                  • Tableau or other BI development experience and designing dashboards / decision enablement tools
                                                                  • -
                                                                  • Experience leading analytics projects with stakeholders
                                                                  • -
                                                                  • Data warehousing principles and experience in design and/or development using dimensional modeling principles
                                                                  • -
                                                                  • Good Understanding of ELT/ETL processes and Microsoft SQL Server Analysis Services or equivalent technologies
                                                                  • -
                                                                  • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data
                                                                  • -
                                                                  • Visual design expertise with a solid understand of the best practices around dashboard and visual perception.
                                                                  • -
                                                                  • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                                                                  • -
                                                                  • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                                                                  • -
                                                                  • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                                                                  • -
                                                                  • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership
                                                                  • -
                                                                  -

                                                                  -

                                                                  What will be good to have?

                                                                  -
                                                                    -
                                                                  • Experience with AWS Data Lake
                                                                  • -
                                                                  • Experience with R, Python, AWS Sage Maker
                                                                  • -
                                                                  • Experience with Agile or design-driven development of analytics applications
                                                                  • -
                                                                  • PMP and/or Scrum Master certification
                                                                  • -
                                                                  • Experience with optimization and tuning of large data extracts for Tableau
                                                                  • -
                                                                  • Tableau desktop and server certification
                                                                  • -
                                                                  • Knowledge of Insurance or Financial Services industry
                                                                  • -
                                                                  -

                                                                  -

                                                                  What’s in it for you?

                                                                  -
                                                                    -
                                                                  • Competitive salary and bonus structure influenced by market range data
                                                                  • -
                                                                  • 20 days vacation per year and an innovative sabbatical program
                                                                  • -
                                                                  • A friendly, collaborative and inclusive culture
                                                                  • -
                                                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                                  • -
                                                                  • Flexible Benefits from the day you join to meet the needs of you and your family
                                                                  • -
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security
                                                                  • -
                                                                  • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                                                                  • -
                                                                  -

                                                                  -

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  -

                                                                  -

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  -

                                                                  -

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  -

                                                                  -

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  -

                                                                  -

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  -

                                                                  -

                                                                  Salary Range:

                                                                  74,100/74 100 - 120,800/120 800

                                                                  -

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  -

                                                                  Posting End Date:

                                                                  18/05/2023
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analytics-Consultant_JR00079744?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-22T16:15:02.812Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/221079987-senior-analytics-consultant-at-sun-life-financial,,expired,2023-05-01T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -bf97dc14-f65e-4608-83c1-11da933f8fe6,221076221,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:02.123Z,"

                                                                  +
                                                                • Undergraduate degree or technical certificate
                                                                • +
                                                                • 3+ years relevant experience
                                                                • +
                                                                • Strong knowledge of Workday, specifically organizations and associated business processes
                                                                • +
                                                                • Advanced MS Office, specifically Excel
                                                                • +
                                                                • Knowledge of SQL
                                                                • +
                                                                • +Bilingual (English / French) would be an asset #LI-Hybrid +
                                                                • + +
                                                                  +

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/17830206/business-application-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-06T17:29:03.811Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/198987551-business-application-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17830206/business-application-analyst-iii-toronto-ca/,expired,2023-02-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e400afce-0726-45d1-b453-6d4818ae8912,197907603,BMO Financial Group,First Nations/Métis/Inuit Candidates - Personal & Business Banking Development Program,on_site,"Ontario, Canada",2023-02-19T17:12:03.169Z,"
                                                                  +

                                                                  Address:

                                                                  100 King Street West

                                                                  +

                                                                  +

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  +

                                                                  +

                                                                  We invite all experienced and aspiring First Nations / Métis / Inuit professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all of those on BMO\'s Careers page.

                                                                  +

                                                                  +

                                                                  Qualified First Nations / Métis / Inuit applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                                                                  +

                                                                  +

                                                                  This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                                                                  +

                                                                  +

                                                                  +

                                                                  Are you analytically inclined, digitally-savvy and motivated by the opportunity to innovate and deliver cutting edge products & solutions in Canada?

                                                                  +

                                                                  At BMO, we’re looking to change the way Canadians bank and you’ll get to drive that change – helping customers make real financial progress across the country. At the heart of this change in Canadian banking is product innovation, data & analytics, and superior risk management – as such, we’re excited to offer a 2-year rotational program designed to accelerate knowledge and personal development by building solid and in-depth understanding of how our Product, Data & Analytics, Risk and Collections business segments operate and interact to deliver results.  

                                                                  +

                                                                  +

                                                                  Product Management: visualize, develop and improve products and services that form our customer offerings and overall experience; help BMO customers make real financial progress by offering differentiated product strategies, value propositions and marketing offers.

                                                                  +

                                                                  +

                                                                  Risk Management: Shape BMO’s Risk Appetite and develop lending strategies and controls to optimize returns within that Risk appetite

                                                                  +

                                                                  Data & Analytics: Use Data & Analytics to drive insights and decision-making in partnership with the business and in pursuit of our collective strategic priorities

                                                                  +

                                                                  Collections: Enable and transform customer experience through usage of data and analytics and modeling techniques. Enhance strategic services provided to customers through end-to-end operations functions.

                                                                  +

                                                                  +

                                                                  Our capabilities and culture have been featured in Forrester, Forbes and at MIT – Product, Risk and Data & Analytics are regular topics at the BMO CEO’s leadership table.

                                                                  -

                                                                  Requisition ID: 177545

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  The successful candidates in the “Personal and Business Banking Development Program” will be part of a 2-year cohort, working alongside banking product, analytics, and risk leaders to accelerate their knowledge, understanding and skills in how BMO’s largest business segment - Personal and Business Banking (P&BB) operates and interacts.

                                                                  +

                                                                  +

                                                                  Key Accountabilities:

                                                                  +

                                                                  Support development and implementation of product strategies to drive sales of existing banking products, launch new products to market, optimize profitability and improve the customer experience.

                                                                  +

                                                                  Support management of product risks to ensure compliance with legal, regulatory, and risk compliance, and reporting.

                                                                  -

                                                                  Term: September - December 2023
                                                                  Application Deadline: 05/19/2023

                                                                  +

                                                                  Leverage strong analytical, problem-solving and communication skills to contribute value and grow a network across multiple roles and functions in Canadian Personal & Business Banking, including the Data & Analytics Centre of Excellence, Product Management, Risk Management and Collections.

                                                                  -

                                                                  There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                  -

                                                                  -

                                                                  The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                  -

                                                                  -

                                                                  -

                                                                  Is this role right for you? In this role, you will:

                                                                  -
                                                                  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                                                  • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                                                  • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                                                  • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                                                  • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                                                  • Present results to business line stakeholders and help implement real data-driven changes
                                                                  • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                                                  • Experiment & learn!
                                                                  • -
                                                                  -

                                                                  -

                                                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                  -
                                                                  • You are currently enrolled in post-secondary education.
                                                                  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                  • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                                                  • You have knowledge/experience in:
                                                                  • -
                                                                  -
                                                                  • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
                                                                  • Big Data/Cloud ecosystem (e.g., GCP)
                                                                  • Experimental design, statistical analysis, machine learning
                                                                  • Python programming
                                                                  • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                                                  • UNIX tools and shell scripting
                                                                  • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                                                  • Visualization tools like PowerBI
                                                                  • Kubernetes
                                                                  • Git Workflows (Pull Request, Code Review, Branching)
                                                                  • +

                                                                    Help plan and deploy data & analytics solutions to improve issue understanding, generate insights and enable high-quality, fact-based decisions that drive better business outcomes. 

                                                                    +

                                                                    +

                                                                    Support the development and execution of various data & analytics-related strategies and roadmaps, including data quality and data analytics, reporting, business intelligence, modeling and the design and development of decision support tools.

                                                                    +

                                                                    +

                                                                    Job Requirements:

                                                                    +

                                                                    +

                                                                    · Builds effective relationships with internal/external stakeholders.

                                                                    +

                                                                    · Leads/participates in the design, implementation, and management of new analytics & reporting solutions.

                                                                    +

                                                                    · Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                    +

                                                                    · Collaborates with internal and external stakeholders to deliver on business objectives.

                                                                    +

                                                                    · Analyzes data and information to provide subject-matter insights and recommendations.

                                                                    +

                                                                    · Recommends and implements solutions based on analysis of issues and implications for the business.

                                                                    +

                                                                    · Designs, develops, and implements innovative analytical solutions.

                                                                    +

                                                                    · Designs and produces regular and ad-hoc reports, and dashboards.

                                                                    +

                                                                    · Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                                                                    +

                                                                    · Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                                                                    +

                                                                    · Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                                                                    +

                                                                    · Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                                                    +

                                                                    · Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                                                    +

                                                                    · Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                                                    +

                                                                    · Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                    +

                                                                    · Builds effective relationships with internal/external stakeholders.

                                                                    +

                                                                    · Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                    +

                                                                    · Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                    +

                                                                    · Works independently on a range of complex tasks, which may include unique situations.

                                                                    +

                                                                    · Continuously improves processes to identify issues and deliver optimal customer experience.

                                                                    +

                                                                    · Works with partners to develop salesforce training and materials and manages change.

                                                                    +

                                                                    · Identifies existing and potential risks and develops risk management controls and processes

                                                                    +

                                                                    · May support the sales team in development of client deals and related presentations.

                                                                    +

                                                                    · Develops and maintains relationships with external partners and vendors.

                                                                    +

                                                                    · Broader work or accountabilities may be assigned as needed.

                                                                    +

                                                                    +

                                                                    Qualifications:

                                                                    +

                                                                    · Graduate or Undergraduate degree in Business/Commerce, Data & Analytics, Risk Management, Economics, Engineering, Finance and/or Mathematics

                                                                    +

                                                                    · Work experience – including Coop and/or Internship placements – Highly Recommended

                                                                    +

                                                                    · Technical proficiency gained through business and work experience – Highly Recommended

                                                                    +

                                                                    · Knowledge and experience in data preparation and data analysis – Strong

                                                                    +

                                                                    · Familiar with one or more industry leading data and analytics tool sets including, but not limited to MS Power BI, TIBCO BPM, Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS – Good.

                                                                    +

                                                                    · Building business cases – Good

                                                                    +

                                                                    · Researching market trends – Good

                                                                    +

                                                                    · Verbal & written communication skills – In-depth.

                                                                    +

                                                                    · Collaboration & team skills – In-depth.

                                                                    +

                                                                    · Analytical and problem-solving skills, data driven decision making – In-depth.

                                                                    +

                                                                    · Influence skills - In-depth.

                                                                    +

                                                                    +

                                                                    +

                                                                    We’re here to help

                                                                    +

                                                                    +

                                                                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                    +

                                                                    +

                                                                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                    +

                                                                    +

                                                                    To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                    +

                                                                    +

                                                                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                    +

                                                                    +

                                                                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                    +
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/First-Nations-Mtis-Inuit-Candidates---Personal---Business-Banking-Development-Program_R230000209?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-06T17:17:01.920Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/197907603-first-nations-metis-inuit-candidates-personal-business-banking-development-program-at-bmo-financial-group,,expired,2023-02-19T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +e2f853f5-241c-4d53-845b-4297a18774ae,194552333,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-02-09T17:22:02.110Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 169022

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  What you’ll be doing…

                                                                  +

                                                                  As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                                                  +

                                                                  +

                                                                  Is this role right for you? In this role you will:

                                                                  +
                                                                  • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                                                  • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                                                  • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                                                  • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                                                  • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                                                  • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                                                  • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                  -

                                                                  -

                                                                  What’s in it for you?

                                                                  -
                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                  • +

                                                                    +

                                                                    Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                    +
                                                                    • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                                                    • Strong knowledge of banking products and their data lifecycle
                                                                    • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                                                    • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                                                    • AML/ATF experience or analytic knowledge
                                                                    • Data architecture experience in cloud infrastructure
                                                                    • Bachelor's degree in business, finance, or engineering
                                                                    • Strong experience with data modelling and data analysis
                                                                    • Minimum of 3 years of relevant experience in AML/ATF
                                                                    -

                                                                    -

                                                                    How do I apply?

                                                                    -

                                                                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                                                    -

                                                                    -
                                                                    1. Complete your PLUM Profile here and save as a screenshot.
                                                                    2. Complete a short one-way video interview here.
                                                                    3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                                                    4. -
                                                                    +

                                                                    Please note that this is a contract position

                                                                    -

                                                                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-06T17:27:05.131Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/194552333-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2023-02-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f7e5df50-53b3-4798-912b-1d65983c4720,198987054,Scotiabank,"Manager, Campaign Design & Execution",on_site,Canada : Ontario : Toronto,2023-02-23T17:22:05.039Z,"

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,12,59,https://talenthub.vectorinstitute.ai/jobs/221076221-velocity-data-scientist-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -0061e392-e4de-444d-9c16-1f25a31d998f,226183732,Scotiabank,"Senior Analyst, Reporting & Insights",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:04.965Z,"

                                                                  +

                                                                  Requisition ID: 174223

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  Requisition ID: 178001

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  Purpose:

                                                                  -

                                                                  Contributes to the overall success of the Omni Channel Development team, taking effective ownership of developing data integration strategies, and creating various reporting streams that generate value-added actionable insights informing Retail Banking business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                  -

                                                                  The Sr. Analyst, Reporting & Insights, will play a key role in supporting the expansion of our reporting framework, improving our analytical processes, and sharing insights to multiple stakeholders and will be responsible for delivering value-added analytics aimed at creating sustainable business growth focusing on reporting, Insights and data visualization.

                                                                  -

                                                                  Is this role right for you? In this role, you will:

                                                                  -

                                                                  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

                                                                  -

                                                                  • Design and create reports, using data to analyze and improve our understanding of branch staff and customer behaviours, and monitoring the impact of strategic decisions and initiatives

                                                                  -
                                                                  • Design and develop new reports to support management including but not limited to - visualization tools such as Tableau & PowerBI, complex data and logic tools, SAS, SQL, and self-service dashboards
                                                                  • Analyze data and evaluate results, identify emerging business issues, and prepare strategic recommendations for management
                                                                  • Continuously acquire and enhance knowledge of business/product strategies, portfolio management principles, branch processes and procedures, regulatory requirements, and advanced analytical tools/methodologies in order to best provide business solutions
                                                                  • Validating data extraction to ensure accuracy and accountability of reporting and insights.
                                                                  • +

                                                                    The successful candidate will be part of a dynamic, innovative team that supports the Campaign Design and Execution functions within Scotiabank’s Canadian Bank Analytics group. This individual will develop analytical solutions to help solve a wide array of business problems, including acquisition, migration and engagement strategies across our customer base.

                                                                    +

                                                                    +

                                                                    What will you do in this role?

                                                                    +

                                                                    +
                                                                    • Design, build and execute customer marketing offers/communications based on eligibility, analytics, decisioning logic and segmentations to help elevate our customer’s experiences across channels and move to a personalized 1:1 customer journey
                                                                    • Apply Next Best Action design principles and build decision strategies using Pega application to execute and monitor marketing offers
                                                                    • Document and implement business requirements to deliver key customer interactions across multiple channels
                                                                    • Analyze and synthesize data around campaign presentment and customer responses to identify trends, deliver key insights and business recommendations around a customer-first approach to driving acquisition and engagement
                                                                    • Act as an analytics generalist and liaison between analytics, technology, quality assurance, business stakeholders and channel partners
                                                                    • Provide subject matter expertise on customer contact and support data validation activities
                                                                    • Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problems
                                                                    -

                                                                    • Automate any recurring reports and visualizations to support key areas of the business

                                                                    -

                                                                    • Support the Senior Manager in the development, execution and management of reporting suites

                                                                    -

                                                                    • Lead the automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of analysis
                                                                    • Synthesize multiple data sources and research insights that capture human insights, convey ideas, and provoke new growth opportunities

                                                                    -

                                                                    • Present research insights that are actionable, compelling, and connected to the business strategy
                                                                    • Partner with broader team members as subject matter expert to support enterprise business program priorities and strategic objectives
                                                                    • Perform automation of data extraction, transformation and reporting processes to increase efficiencies

                                                                    -

                                                                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                    -

                                                                    • Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk

                                                                    -

                                                                    • Champion a high performance environment and contributes to an inclusive work environment

                                                                    -

                                                                    Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                    +

                                                                    Do you have the skills that will enable you to succeed?

                                                                    -

                                                                    • University degree in Business Analytics, Statistics, Mathematics, Finance, Computer Science, Business Management or a related discipline
                                                                    • Advanced SAS and/or SQL experience. Python/R are also preferred
                                                                    • Expertise in data visualization tools such as Power BI
                                                                    • Excellent mathematical, analytical and problem-solving skills and ability to interpret complex data, and be able to conclude meaningful insights. Curious and passionate about data, data visualization and introducing automation
                                                                    • Excellent business acumen and strategic thinking skills
                                                                    • Excellent communication and presentation skill (written and verbal) is essential
                                                                    • Understanding of Canadian retail banking
                                                                    • Ability to work well both independently and with teams also a Self-starter and must be comfortable working in an environment with tight deadlines and multiple priorities. Collaborative team player, Flexible, motivated, and results oriented

                                                                    +
                                                                    • CRM experience working with multiple business partners and delivery timelines
                                                                    • Experience with Pega Marketing/Pega Decision Manager/Customer Decision Hub preferred
                                                                    • Certified with Pega Decisioning Consultant (PCDC) an asset
                                                                    • Experience with targeted leads/campaign execution and segmentation an asset
                                                                    • Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                                                                    • 3-5 years of related experience needed, preferably within a banking or retail industry
                                                                    • Experience working with a vast amount of data, relational databases and having strong SQL skills (SQL Server, DB2, MySQL, SAS, etc.)
                                                                    • Demonstrated experience developing and delivering marketing communications in a multi-channel marketing environment an asset
                                                                    • Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior
                                                                    • Past experience in the financial sector or campaign analytics an asset.
                                                                    • +
                                                                    +


                                                                    -

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Reporting-&-Insights-ON-M5H1H1/570290117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-23T21:29:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226183732-senior-analyst-reporting-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Reporting-&-Insights-ON-M5H1H1/570290117/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4c4bf665-6cf8-42f1-8e9b-f60cffe1c920,222290762,TD Bank Group,Analytics and Insights Co-op,on_site,"Toronto, ON",2023-05-04T17:24:04.388Z,"
                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Campaign-Design-&-Execution-ON-M5C2W1/567972917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-06T17:27:05.131Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/198987054-manager-campaign-design-execution-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Campaign-Design-&-Execution-ON-M5C2W1/567972917/,expired,2023-02-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +51718ae7-86dd-4c72-812a-3a29716595c2,200117724,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-02-27T17:24:02.118Z,"

                                                                  Company Overview

                                                                  -

                                                                  All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                  -

                                                                  Why TD?

                                                                  -

                                                                  TD’s Colleague Promise: A better you. A better us.

                                                                  -

                                                                  A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                  +

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  +

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  Department Overview

                                                                  -
                                                                  -

                                                                  TD Direct Investing is Canada’s largest direct investing brokerage, empowering 2 million self-directed investors and traders with its full spectrum of powerful solutions and innovative tools to manage their investments with ease and confidence. As a member of the TD Direct Investing Product, Strategy & National Office team, you have the opportunity to work with results-oriented, curious, innovative, and adaptable people who share your passion to help our clients, and one another, to succeed.

                                                                  +
                                                                  Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                  +

                                                                  Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                                                  +
                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +
                                                                  The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                                                  +

                                                                  What are your main responsibilities?

                                                                  +
                                                                    +
                                                                  • Own and ship product features that enable ML engine capabilities
                                                                  • +
                                                                  • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                                                  • +
                                                                  • Work with research scientists and MLOps team to maintain service product.
                                                                  • +
                                                                  +
                                                                  +

                                                                  +

                                                                  Requirements

                                                                  +
                                                                  +Must-Have:

                                                                  +
                                                                    +
                                                                  • Experience with building and scaling data-intensive software.
                                                                  • +
                                                                  • You value good software design and sweat over details in code and API design.
                                                                  • +
                                                                  • You enjoy learning new technology and also educating others.
                                                                  • +
                                                                  • You take great personal pride in building robust and scalable software.
                                                                  • +
                                                                  • You strive to communicate clearly and with empathy.
                                                                  • +
                                                                  • You are highly accountable and have a strong sense of ownership.
                                                                  • +
                                                                  • Ability to do detailed code reviews and give thoughtful feedback.
                                                                  • +
                                                                  +

                                                                  Nice to have

                                                                  +

                                                                  Experience building a library or a framework.
                                                                  Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                  Comfortable with statistics.
                                                                  Knowledge of machine learning algorithms.
                                                                  Knowledge of distributed systems.

                                                                  +
                                                                  +

                                                                  +

                                                                  Additional Information

                                                                  +
                                                                  #LI-Hybrid
                                                                  +

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-06T17:29:03.811Z,False,0,13,43,https://talenthub.vectorinstitute.ai/jobs/200117724-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-02-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +409c3730-709a-4f5f-ac71-f32f8a941c63,198034029,TD Bank Group,"Senior Manager, Data Analytics & Reporting (FRC group)",on_site,"Toronto, ON",2023-02-20T17:24:04.846Z,"
                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +

                                                                  Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                                                  +

                                                                  Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                                                  +

                                                                  +

                                                                  Department Overview

                                                                  +
                                                                  +

                                                                  What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                  +

                                                                  The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                  +

                                                                  This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                                                  +

                                                                  Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                  Job Description

                                                                  -

                                                                  Reporting to Senior Manager, Strategic Insights & Analysis, and working alongside a team of analysts, this role will help drive and support TD Direct Investing’s strategic client engagement and acquisition initiatives in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights and decision support to various business initiatives, acquiring data in support of such work, as well as helping to develop robust processes and procedures, and executing thereon.

                                                                  -

                                                                  Key accountabilities include:

                                                                  -
                                                                  • Perform and leverage DI’s client segmentation to create and support targeted organic growth initiatives, client engagement tactics, and business value proposition enhancements

                                                                  +

                                                                  Senior Manager, Data Analytics & Reporting, Finance Risk Controls will be responsible for executing the detailed analytical work related to production of oversight and governance reporting, running monthly/quarterly completeness checks and managing dashboards within TD’s data environment and suite of tools (e.g., HIVE, PySpark, Tableau). The individual will support the team in strengthening of internal controls and enhancing governance and Quality Check (QC) program for financial controls across the Bank. The individual will support the team(s) in ensuring compliance with Finance policies and effectiveness of controls related to financial reporting.

                                                                  +

                                                                  Specific Functions and Accountabilities

                                                                    -
                                                                  • Prepare structured data analyses, often in time-sensitive circumstances, and be able to summarize key insights into a coherent, concise communication suitable for executive consumption.

                                                                  • -
                                                                  • Collaborate with partners in Data & Analytics teams across Wealth, Marketing, and Phone Channel to understand complex business issues and develop innovative data-driven insights and solutions.

                                                                  • -
                                                                  • Support the Senior Manager, Strategic Insights & Analysis in the execution and control of regular reporting, campaign fulfillment, and non-standard pricing processes, ensuring proper documentation.

                                                                  • -
                                                                  • Contribute to a culture of continuous improvement (through process improvements, automation, improved documentation, etc.)

                                                                  • +
                                                                  • Managing end-to-end production of reports and dashboards supporting FRC in its mandate of oversight certain Finance policies and financial reporting controls
                                                                  • +
                                                                  • Executing data pipeline and performing data engineering tasks using big data processing tools like HIVE, PySpark
                                                                  • +
                                                                  • Performing bug fixes and updating existing business logic based on business feedback.
                                                                  • +
                                                                  • Creating new metrics/tables and integrating them into the data pipeline on an ongoing basis
                                                                  • +
                                                                  • Running any manual processes to support production of dashboards, e.g., preparing files for data ingestion into TD’s analytics environment
                                                                  • +
                                                                  • Understanding metrics and validating those metrics with business partners, validating data quality for key performance metrics and performing root-cause analysis for any discrepancies noted, in alignment with relevant business partners
                                                                  • +
                                                                  • Gathering requirements for creation of new metrics and reports for dashboards arising from evolving needs
                                                                  • +
                                                                  • Collaborating with business partners in sourcing and maintaining reports and dashboard
                                                                  • +
                                                                  • Leading review and walkthrough sessions with various business and technology partners
                                                                  • +
                                                                  • Maintaining, prioritizing and implementing a feature backlog based on user feedback
                                                                  • +
                                                                  • Enhancements of reporting and dashboard design to optimize dashboard performance
                                                                  • +
                                                                  • Supporting management supervision and review, ongoing training needs, and change management.
                                                                  • +
                                                                  • Supporting dashboard user access management
                                                                  • +
                                                                  • Documenting and setting up of operating procedures to support dashboard implementation e.g., data lineage, metric formulation, data modelling, use cases, etc.
                                                                  • +
                                                                  • Preparing ad hoc reports and presentations, as required

                                                                  Requirements

                                                                  -
                                                                    -
                                                                  • Knowledge of and familiarity or hands-on experience with self-directed investing platforms

                                                                  • -
                                                                  • Experience with data extraction, manipulation, and visualization tools (e.g. SQL, Python, Alteryx, Tableau) preferred

                                                                  • -
                                                                  • Familiarity with Excel and PowerPoint, including experience developing business documents and leadership presentations with clear, compelling communications

                                                                  • -
                                                                  • Ability to communicate clearly and concisely

                                                                  • -
                                                                  +
                                                                  +

                                                                  Specific Educational and Professional Experience Requirements:

                                                                  +
                                                                    +
                                                                  • University degree in business analytics or other relevant fields
                                                                  • +
                                                                  • 5+ years experience in data analytics, reporting and business intelligence roles
                                                                  • +
                                                                  • Strong knowledge of big data processing tools like, Hive and HQL/SQL, Python and PySpark to extract and transform data
                                                                  • +
                                                                  • Advance working knowledge of MS Excel, VBA and PowerPoint is highly preferred
                                                                  • +
                                                                  • Experience in an accounting/finance role (financial services industry desirable)
                                                                  • +
                                                                  • Internal controls experience will be an asset
                                                                  • +
                                                                  • Familiarity with TD businesses, technology, finance and data ecosystem will be an asset
                                                                  • +
                                                                  • Financial reporting, process, operations, internal controls, audit experiences will be an asset
                                                                  • +
                                                                  +
                                                                  Professional Skills and Competencies Requirements:

                                                                  +
                                                                    +
                                                                  • Excellent problem-solving skillsets with ability to interpret new business requirements, undertake deep-dive analysis and translate findings into actionable data insights
                                                                  • +
                                                                  • Ability to work with numbers, large data sets and their interpretation for business impact
                                                                  • +
                                                                  • Ability to make recommendations based on a combination of data, professional judgment and common sense
                                                                  • +
                                                                  • Ability to navigate some level of ambiguity and execute
                                                                  • +
                                                                  • Ability to synthesize data, extract meaning and utilize relevant information to identify opportunities and provide recommendations
                                                                  • +
                                                                  • Effective communication skills (both written and verbal), organizational and time-management skills
                                                                  • +
                                                                  • Good understanding of financial statement assertions and their practical application in controls
                                                                  • +
                                                                  +
                                                                  +

                                                                  Additional Information

                                                                  -
                                                                  -

                                                                  Early Talent Requirements

                                                                  +
                                                                  #LI-Hybrid
                                                                  #FinanceCareers
                                                                  +

                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-06T21:24:00.000Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/198034029-senior-manager-data-analytics-reporting-frc-group-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17147778/senior-manager-data-analytics-reporting-frc-group-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +4773cf0e-6871-4148-a7e0-c3521bf72d6a,200985579,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2023-03-02T17:21:03.001Z,"

                                                                  Req Id: 409144

                                                                  +

                                                                  +

                                                                  At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                                                  +

                                                                  +

                                                                  If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                                                  +

                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  +
                                                                  +
                                                                  +

                                                                  About Us:
                                                                  The Data Engineering & Artificial Intelligence focuses largely on sourcing data, maintaining and developing machine learning models and deploying production model driven applications. Our team partners closely with other teams within the company and works most closely with Field Services, operationalizing machine learning to help us continue to transform the business.

                                                                  If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Data Engineering and Artificial Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

                                                                  Position Summary:
                                                                  Reporting to the Senior Manager, Artificial Intelligence, the ideal candidate is a Developer, Data Science, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Bell to implement and operationalize machine learning models that give real-time feedback to our customers and technicians.

                                                                  +

                                                                  Key Responsibilities:
                                                                  • Build code and models to translate data into actionable insights
                                                                  • Design and develop Machine Learning models to improve Customer Experience and optimize processes
                                                                  • Track model performance using appropriate KPIs, metrics and techniques
                                                                  • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
                                                                  • Communicate results of analysis and models to stakeholders effectively and confidently
                                                                  • Translating business imperatives into data centered questions to be able to quantify and evaluate them
                                                                  • Bring in new sources of data by exploring data across Bell and externally
                                                                  • Design and expand interactive dashboards

                                                                  Qualifications:
                                                                  • Currently enrolled or recently completed undergraduate or masters degree in Currently enrolled or recently completed undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
                                                                  • Self starter with excellent problem solving skills
                                                                  • Experience in using Python and SQL (GCP BigQuery, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
                                                                  • Experience in developing and modifying GCP (BigQuery, DataFlow, pubsub), Python and SQL ETL Processes
                                                                  • Experience deploying ML/AI models into production
                                                                  • Knowledge of machine learning practices and experience applying them to real datasets
                                                                  • Must be versatile and quick to learn new languages, packages and frameworks
                                                                  • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
                                                                  • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                                  • Team player with excellent organization and people skills

                                                                  +
                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  +
                                                                  +
                                                                    +
                                                                  • Baccalauréat ou maîtrise dans une discipline comme les mathématiques, les statistiques, l’apprentissage automatique, l’analytique d’affaires, l’informatique décisionnelle, l’informatique ou une discipline connexe.
                                                                  • +
                                                                  • Algorithmes
                                                                      +
                                                                    • Connaissance approfondie des modèles d’apprentissage automatique : apprentissage profond, apprentissage de renforcement, traitement du langage naturel, etc.
                                                                    • +
                                                                    • Expérience et expertise pratiques avec différents cadres d’intelligence artificielle et d’apprentissage automatique, comme Keras, Pytorch, TensorFlow, SparkML, et Scikit-Learn.
                                                                    • +
                                                                    • Se tenir au fait des nouvelles technologies et techniques dans le secteur de l’apprentissage automatique et de l’intelligence artificielle.
                                                                    • +
                                                                    +
                                                                  • +
                                                                  • Programmation
                                                                      +
                                                                    • Compétences avancées en développement avec Python
                                                                    • +
                                                                    • Expérience d’autres langages de programmation comme Scala, C, C++, Java, et Shell
                                                                    • +
                                                                    • Excellente conception de code (programmation orientée objet, algorithmes et structures de données)
                                                                    • +
                                                                    • Expérience des pipelines d’intégration et de déploiement continus
                                                                    • +
                                                                    +
                                                                  • +
                                                                  • Données
                                                                      +
                                                                    • Compréhension des bases de données SGBDR, distribuées et NoSQL
                                                                    • +
                                                                    • Maîtrise de SQL
                                                                    • +
                                                                    • Compréhension de Spark et de MapReduce
                                                                    • +
                                                                    +
                                                                  • +
                                                                  • Facilité d’apprentissage et capacité de sortir des sentiers battus
                                                                  • +
                                                                  • Promoteur de changement : agilité et capacité de mobiliser les ressources et de mener à bien les initiatives clés nécessaires pour la transformation de nos activités.
                                                                  • +
                                                                  +
                                                                  +
                                                                  +

                                                                  +

                                                                  #EmployeeReferralProgram

                                                                  +

                                                                  +

                                                                  Adequate knowledge of French is required for positions in Quebec.

                                                                  +

                                                                  +

                                                                  Additional Information:

                                                                  +

                                                                  Position Type: Management
                                                                  Job Status:
                                                                  Regular - Full Time
                                                                  Job Location:
                                                                  Canada : Ontario : Toronto
                                                                  Flexible work profile :
                                                                  Mobile
                                                                  Application Deadline: 03/15/2023

                                                                  +

                                                                  +

                                                                  All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                                                  +

                                                                  +

                                                                  Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                                                  +

                                                                  +

                                                                  At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                  +

                                                                  +

                                                                  Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                  +

                                                                  +

                                                                  Created: Canada, ON, Toronto

                                                                  +

                                                                  #Talent #Indeed #Tech

                                                                  +

                                                                  Bell, one of Canada's Top 100 Employers.

                                                                  ",,https://jobs.bell.ca/ca/en/job/BECACA409144EXTERNALENCA/Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-03-07T17:26:05.515Z,False,0,25,191,https://talenthub.vectorinstitute.ai/jobs/200985579-developer-data-science-at-bell-canada,BECACA409144EXTERNALENCA,expired,2023-03-02T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Entry Level,Bachelors Degree,New Posting, +84cd64bb-3a96-4680-8282-5f8f9df2d160,200305922,Shopify Inc.,"Senior Data Scientist - Revenue Acceleration, Recommendation",on_site,"Ontario, Canada",2023-02-28T17:42:06.575Z,"

                                                                  About the role

                                                                  +

                                                                  The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team\'s impact is grounded in experiment-based findings.

                                                                  +

                                                                  As a Senior Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.

                                                                  ",,https://www.shopify.com/ca/careers/senior-data-scientist-revenue-acceleration-recommendation-remote-americas_e47ef2d3-7198-437c-bac7-f92f57276ff9,feed-importer@jobboard.io,,,,2023-03-09T21:26:00.000Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/200305922-senior-data-scientist-revenue-acceleration-recommendation-at-shopify-inc,,expired,2023-02-28T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +87e26e76-88b8-44bb-8cb6-a4c2e54aa062,193135725,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-02-05T17:39:01.894Z,"

                                                                  Job Details

                                                                  Description

                                                                  +

                                                                  Connect with us LinkedIn, Instagram, Facebook, Twitter

                                                                  +

                                                                  EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                                                  +

                                                                  Thinking about a change?

                                                                  +

                                                                  We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                                                                  +

                                                                  In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                                                                  +

                                                                  +

                                                                  You as a Data Engineer (Insight and Analytics) will:

                                                                  +
                                                                    +
                                                                  • Be a technical lead in the development of high-volume platforms & Data pipelines
                                                                  • +
                                                                  • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                                                                  • +
                                                                  • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                                                                  • +
                                                                  • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                                                                  • +
                                                                  • Provide input and feedback to support continuous improvement in team processes
                                                                  • +
                                                                  • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                                                                  • +
                                                                  • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                                                                  • +
                                                                  +

                                                                  Is this the right role for you?

                                                                  +
                                                                    +
                                                                  • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                                                                  • +
                                                                  • Comfortable working in a fast-paced environment and collaborative environment
                                                                  • +
                                                                  +

                                                                  EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                                                                  +

                                                                  Go ahead and be yourself. We'll pay you for it!

                                                                  +

                                                                  We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                                                                  +

                                                                  Accommodation for Applicants will be made during the recruitment process when requested.

                                                                  +

                                                                  Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                                                                  Qualifications

                                                                  Skills

                                                                  Behaviors

                                                                  :

                                                                  Motivations

                                                                  :

                                                                  Education

                                                                  Experience

                                                                  Licenses & Certifications

                                                                  ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-03-09T20:55:55.470Z,False,0,13,61,https://talenthub.vectorinstitute.ai/jobs/193135725-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-02-05T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, +2b7bce62-236e-42a2-bb22-dba51b4b3000,197116713,CN,Expert Data Developer,on_site,"Ontario, Canada",2023-02-16T17:42:04.205Z,"
                                                                  +

                                                                  +
                                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                  +

                                                                  +
                                                                  Job Summary
                                                                  +
                                                                  +

                                                                  The Expert, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. The incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. Moreover, the position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                  Main Responsibilities

                                                                  Data Development

                                                                  · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                  · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                  · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                                                  · Build data and domain event models, implement business rules, and scalable data pipelines

                                                                  · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                                                  · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                  · Integrate analytics and data science results with business processes

                                                                  · Promote effective data management practices

                                                                  · Collaborate with Data Science, Reporting, Analytics, and other Development teams to build data pipelines, infrastructure, and tooling to support business initiatives

                                                                  · Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data development architecture

                                                                  · Collaborate with the team to meet performance, scalability, and reliability goals

                                                                  · Maintain and expand existing systems, tooling, and infrastructure

                                                                  · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                                                  Data Design

                                                                  · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                  · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                  · Design and develop processing pipelines that ingest data into the Data Platforms

                                                                  · Expose the data into meaningful formats so that it can be easily consumed

                                                                  · Provide day-to-day support and technical expertise to both technical and
                                                                  non-technical teams

                                                                  · Participate in building data development expertise and framework

                                                                  · Translate business needs into technical requirements

                                                                  Data Operations and Quality Assurance

                                                                  · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                                                  · Build monitoring and debugging tools to analyze data pipelines

                                                                  · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                  · Improve software quality, automate processes, and accelerate software releases

                                                                  · Develop and implement test plans and scripts for various data quality processes

                                                                  · Maintain manual and automated test scripts

                                                                  Working Conditions

                                                                  The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                  Requirements

                                                                  Experience

                                                                  Data Development

                                                                  · Minimum 10 years of overall work experience

                                                                  · Minimum 5 years demonstrating technical leadership qualities or overseeing deliverables

                                                                  · Minimum 7 years of experience in a data development role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                  o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                  Education/Certification/Designation

                                                                  · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                                                  · Master’s Degree or Doctor of Philosophy in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                  · Professional Engineer (P.Eng.) Degree*

                                                                  · Google or Azure Data Development certification*

                                                                  *Any designation for these above would be considered as an asset

                                                                  Competencies

                                                                  · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                  · Applies analytical thinking

                                                                  · Innovates through problem solving

                                                                  · Knows the business and stays current with industry trends to elevate expertise and work

                                                                  · Demonstrates organizational abilities

                                                                  · Collaborates with key internal stakeholders to enable higher productivity

                                                                  · Works independently with little supervision

                                                                  Technical Skills/Knowledge

                                                                  · Knowledge of Scala, Java or Python

                                                                  · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                                                  · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                                                  · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                                                  · Knowledge of Linux and shell scripting

                                                                  · Knowledge of multiple database technologies such as Distributed Processing (i.e., Spark, Hadoop), traditional Rational Database Management Systems (RDBMS) (i.e., Oracle, Database 2 (DB2), PostgreSQL), Non-Structured Query Language (NoSQL) (i.e., MongoDB, FireBase)

                                                                  · Knowledge of Development Operations (DevOps) and Azure DevOps for Continuous Integration (CI) and Continuous Deployment (CD) Data Pipelines

                                                                  +
                                                                  +

                                                                  +

                                                                  +
                                                                  About CN
                                                                  +

                                                                  +
                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                  +

                                                                  +
                                                                  For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10221?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-09T17:47:08.647Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/197116713-expert-data-developer-at-cn,,expired,2023-02-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +68d02f52-9a58-42b6-851e-77f79b8b3c4e,198994444,CN,Expert Solution Design (Data engineering),on_site,"Ontario, Canada",2023-02-23T17:42:03.442Z,"
                                                                  +

                                                                  +

                                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                  +
                                                                  +

                                                                  Job Summary

                                                                  +

                                                                  The Expert Solution Design is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Solution Design develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                                                  +

                                                                  +

                                                                  Main Responsibilities

                                                                  Data Engineering

                                                                  +

                                                                  · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                                                  +

                                                                  · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                                                  +

                                                                  · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                                                  +

                                                                  · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                                                  +

                                                                  · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                                                  +

                                                                  · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                                                  +

                                                                  · Integrate analytics and data science results with business processes

                                                                  +

                                                                  · Promote effective data management practices

                                                                  +

                                                                  +

                                                                  Data Design

                                                                  +

                                                                  +

                                                                  · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                                                  +

                                                                  · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                                                  +

                                                                  · Design and develop processing pipelines that ingest data into Data Hubs

                                                                  +

                                                                  · Expose the data into meaningful formats, like GraphQL

                                                                  +

                                                                  · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                                                  +

                                                                  · Participate in building data engineering expertise and framework

                                                                  +

                                                                  · Translate business needs into technical requirements

                                                                  +

                                                                  +

                                                                  Data Development

                                                                  +

                                                                  +

                                                                  · Acquire, ingest and process data from multiple sources and systems

                                                                  +

                                                                  · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                                                  +

                                                                  · Conduct metadata management, data cleansing and preparation

                                                                  +

                                                                  · Produce well documented quality codes

                                                                  +

                                                                  +

                                                                  Data Operations - 10% +

                                                                  +

                                                                  +

                                                                  · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                                                  +

                                                                  · Build monitoring and debugging tools to analyze data pipelines

                                                                  +

                                                                  · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                                                  +

                                                                  · Improve software quality, automate processes, and accelerate software releases

                                                                  +

                                                                  +

                                                                  Data Quality Assurance

                                                                  +

                                                                  +

                                                                  · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                                                  +

                                                                  · Develop and implement test plans and scripts for various data quality processes

                                                                  +

                                                                  · Maintain manual and automated test scripts

                                                                  +

                                                                  +

                                                                  Working Conditions

                                                                  +

                                                                  +

                                                                  The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                                                  +

                                                                  +

                                                                  +

                                                                  Requirements

                                                                  Experience

                                                                  +

                                                                  +

                                                                  Data Engineering

                                                                  +

                                                                  · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                                                  +

                                                                  · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                                                  +

                                                                  · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                                                  +

                                                                  · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                                                  +

                                                                  · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                                                  +

                                                                  · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                                                  +

                                                                  · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                                                  +

                                                                  · Experience with Linux and shell scripting

                                                                  +

                                                                  · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                                                  +

                                                                  · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                                                  +

                                                                  · Experience working in an Agile team environment

                                                                  +

                                                                  +

                                                                  Education/Certification/Designation

                                                                  +

                                                                  +

                                                                  · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                                                  +

                                                                  · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                                                  +

                                                                  · Professional Engineer (P.Eng.) Degree*

                                                                  +

                                                                  · Google or Azure Data Engineering certification*

                                                                  +

                                                                  *Any designation for these above would be considered as an asset

                                                                  +

                                                                  +

                                                                  Competencies

                                                                  +

                                                                  +

                                                                  · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                  +

                                                                  · Ability to communicate complex solutions

                                                                  +

                                                                  · Applies analytical thinking

                                                                  +

                                                                  · Innovates through problem solving

                                                                  +

                                                                  · Knows the business and stays current with industry trends to elevate expertise and work

                                                                  +

                                                                  · Demonstrates organizational abilities and detail oriented

                                                                  +

                                                                  · Collaborates with key internal stakeholders to enable higher productivity

                                                                  +

                                                                  · Works independently with little supervision

                                                                  +

                                                                  · Applies agile mindset

                                                                  +

                                                                  · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                                                  +

                                                                  · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                                                  +

                                                                  +

                                                                  Technical Skills/Knowledge

                                                                  +

                                                                  +

                                                                  · Strong data analytics and development skills

                                                                  +

                                                                  · Demonstrated creativity skills

                                                                  +

                                                                  · Expertise in a combination of Scala, Java or Python

                                                                  +

                                                                  · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                                                  +

                                                                  · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                                                  +

                                                                  · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                                                  +

                                                                  · Expertise with GraphQL*

                                                                  +

                                                                  *Any knowledge for any of the above would be considered as an asset

                                                                  +

                                                                  +
                                                                  +About CN

                                                                  +

                                                                  +

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  +

                                                                  +
                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-09T17:47:08.647Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/198994444-expert-solution-design-data-engineering-at-cn,,expired,2023-02-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +800b3b70-c1d6-4453-ae7c-abc8e1d74058,200118245,CN,"Analyst, SAP Data Conversion and Governance",on_site,"Ontario, Canada",2023-02-27T17:42:09.707Z,"
                                                                  +

                                                                  +

                                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                  Job Summary

                                                                  The Analyst, SAP Data Conversion and Governance contributes to the SAP ecosystem roadmap by planning, executing and providing expertise on data-related activities. The role is instrumental as CN is currently undertaking a large multi-year business transformation program triggered by a SAP ECC to a SAP S/4 HANA product migration.

                                                                  The incumbent works within a multi-disciplinary team and participates in a variety of data activities, namely: profiling, quality assessment and cleansing of master and transactional data objects, including establishment of data cleansing strategies and their implementation; master data mapping, transformation and enrichment, to account for new SAP product data models and business transformation requirements; and data governance and management tasks on approval workflows, configurations and processes to ensure data objects maintain compliance to CN quality standards throughout their lifecycle.

                                                                  The incumbent contributes to data validation runs, troubleshooting, data reconciliation and identification of corrective actions prior to production migrations.

                                                                  The position helps develop skills and experience in setting up and managing best-in-class data pipelines that are becoming essential building block in industries adopting data-centric digital transformation approaches.

                                                                  Main Responsibilities

                                                                  Data Profiling and Cleansing – Data-Related Tasks on the “As-Is” Environment – 30%

                                                                  Participates in data objects identification and business rules profiling

                                                                  Performs data quality assessment and quality metrics reporting

                                                                  Participates in manual/automated data object cleansing strategies and their implementation

                                                                  Collaborates to the iterative post-cleansing validation and implementation of corrective measures

                                                                  Leverages off-the-shelf and specialized tools to carry out tasks

                                                                  Data Mapping and Transformation - Data-Related Tasks on the “To-Be” Environment – 40%

                                                                  Participates in identification and design of functional data mapping, transformation and enrichment activities and documentation according to the business process re-engineering efforts and new S/4 HANA data structures

                                                                  Implements sandbox solutions to assess data mapping and transformation methods, including algorithms

                                                                  Performs iterative validation runs and implement corrective measures on conversions

                                                                  Leverages off-the-shelf and specialized tools and conversion platforms to carry out tasks

                                                                  Data Governance and Management - Data-Related Tasks on the Data Lifecycle and Enhancements – 30%

                                                                  Identifies, implements, and validates governance workflow and data business rules requirements for master data management, in conjunction with business owners

                                                                  Takes part in data quality assessment on target systems

                                                                  Implements data governance roadmap and strategy on specialized data management tools and platforms

                                                                  Participates in functional designs and documentation, system configuration, and validation

                                                                  Maps enterprise-level data governance requirements into SAP landscape

                                                                  Working Conditions

                                                                  The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                                                  +

                                                                  Requirements

                                                                  Experience

                                                                  Managing and Handling Enterprise Data

                                                                  Between 1 to 3 years of experience in managing and handling enterprise data

                                                                  Education/Certification/Designation

                                                                  Bachelor’s Degree in a technical or business field, with an interest in data management

                                                                  Bachelor’s Degree in Business Analytics, Mathematics, Statistics, Data Science or Engineering*

                                                                  *Any designation for these above would be considered as an asset

                                                                  Competencies

                                                                  Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                  Applies analytical thinking

                                                                  Innovates through problem solving

                                                                  Knows the business and stays current with industry trends to elevate expertise and work

                                                                  Demonstrates organizational abilities

                                                                  Collaborates with key internal stakeholders to enable higher productivity

                                                                  Works independently with little supervision

                                                                  Technical Skills/Knowledge

                                                                  Strong interest in managing and validating data, understanding its attributes, characteristics and business value.

                                                                  Hands-on experience in planning and executing general Extract-Transform-Load (ETL) data tasks*

                                                                  Experience with Enterprise Resource Planning (ERP) systems, in particular SAP (SAP ECC, SAP S/4 HANA)*

                                                                  Strong interest in business processes and the way data interrelates to those processes

                                                                  Interest in exploring data, performing investigation and analysis, and applying resolution and validation in complex data sets

                                                                  Knowledge of Excel or equivalent productivity tools

                                                                  Ability and interest in developing advanced user knowledge of specialized data management platforms and tools such as Syniti Advanced Data Migration (ADM), SAP Master Data Governance (MDG), SAP Utopia, SAP Asset Information Workbench (AIW)

                                                                  Ability to present and communicate results clearly

                                                                  Knowledge of Structured Query Language (SQL) statements and scripting, including SQL Server Management Studio*

                                                                  *Any knowledge for any of the above would be considered as an asset

                                                                  Organizational Impact

                                                                  Decision Making & Impacts

                                                                  The position performs data-centric tasks that are foundational to the SAP ecosystem roadmap and lifecycle

                                                                  Level of Interaction/Influence

                                                                  The Analyst, SAP Data Conversion and Governance interacts with business and Information and Technology (I&T) data experts, Coordinators, Data Technology Specialists, Solution Architects, enterprise-level data governance teams, as well as working closely with their business and functional counterparts in Finance, Procurement, Supply Management, Mechanical and Engineering organizations.

                                                                  Employees Supervised/Organizational Structure

                                                                  The Analyst, SAP Data Conversion and Governance reports to the Senior Manager, SAP S/4 HANA Transformation, Data Governance and Migration, Information and Technology. The role has no supervisory responsibilities.

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  CN requires that all employees in Canada be fully vaccinated against COVID-19 and provide proof thereof as a condition of employment. The Company’s vaccination mandate extends to employees of our wholly owned subsidiaries as well as CN’s contractors, consultants, agents and suppliers and anyone who accesses CN properties in Canada.

                                                                  For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                                                  +
                                                                  +

                                                                  +

                                                                  +

                                                                  CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9778?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-09T17:47:08.647Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/200118245-analyst-sap-data-conversion-and-governance-at-cn,,expired,2023-02-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Associate,Bachelors Degree,New Posting, +14b10c74-8866-4121-a842-607e77f6cc39,197116714,CN,"Expert, Data Developer (Data Movement Service)",on_site,"Ontario, Canada",2023-02-16T17:42:04.278Z,"
                                                                  +

                                                                  +

                                                                  At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                                                  +

                                                                  Role description:

                                                                  +

                                                                  The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

                                                                  +

                                                                  Main Responsibilities:

                                                                  +

                                                                  Data Engineering

                                                                  +

                                                                  · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

                                                                  +

                                                                  · Optimize CN’s data architecture to support the next generation of products and data initiatives.

                                                                  +

                                                                  · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

                                                                  +

                                                                  · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

                                                                  +

                                                                  · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

                                                                  +

                                                                  · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

                                                                  +

                                                                  · Integrate analytics and data science results with business processes.

                                                                  +

                                                                  · Promote effective data management practices.

                                                                  +

                                                                  Modernization

                                                                  +

                                                                  · Work with peers to improve architecture processes and deliverables with the trending technology.

                                                                  +

                                                                  · Participate in yearly product health assessment.

                                                                  +

                                                                  · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

                                                                  +

                                                                  Technical Leadership and Governance oversight

                                                                  +

                                                                  · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

                                                                  +

                                                                  · Ensuring Standards are being published and evangelized.

                                                                  +

                                                                  · Ensuring the Enterprise Governance principles are being applied.

                                                                  +

                                                                  Requirements

                                                                  +

                                                                  Education & Experience

                                                                  +

                                                                  · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

                                                                  +

                                                                  · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

                                                                  +

                                                                  · Minimum 2 years in a similar role.

                                                                  +

                                                                  · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

                                                                  +

                                                                  Skills/Knowledge

                                                                  +

                                                                  · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

                                                                  +

                                                                  · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

                                                                  +

                                                                  · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

                                                                  +

                                                                  · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

                                                                  +

                                                                  · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

                                                                  +

                                                                  · Comparable working experience in Azure Ecosystem will also be considered.

                                                                  +

                                                                  · Strong experience with Agile/Scrum/Safe delivery methodology.

                                                                  +

                                                                  · Strong ability to bring a complex concept to actionable architecture deliverables.

                                                                  +

                                                                  · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

                                                                  +

                                                                  · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

                                                                  +

                                                                  · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

                                                                  +

                                                                  · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

                                                                  +

                                                                  · Strong ability to lead the team on a mandate and to lead decisions.

                                                                  +

                                                                  · Ability to deliver mandate with great autonomy – self-driven.

                                                                  +

                                                                  · Excellent written and oral communication skills.

                                                                  +

                                                                  +

                                                                  About CN

                                                                  +

                                                                  CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                  +
                                                                  ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10193?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-09T17:47:08.647Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/197116714-expert-data-developer-data-movement-service-at-cn,,expired,2023-02-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +ab6fa230-525c-4b00-943a-0819e3cd9c0d,192665216,Scotiabank,"Senior Manager, Data Governance and Analytics",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.441Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 173614

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose of Job:

                                                                  +

                                                                  +

                                                                  Working within Global Risk Management (GRM), this position will take accountability and drive the production of data driven analyses resulting in actionable insights that improve the Bank’s Operational Risk performance. Additionally, support Global Operational Risk (GOR)’s data governance process to ensure compliance with the Bank’s data standards.

                                                                  +

                                                                  +

                                                                  Job Responsibilities:

                                                                  +

                                                                  +

                                                                  Leverage your strong analytical and data management background to collaborate with various business partners to:

                                                                  +

                                                                  • Lead the development, implementation, and monitoring of Global Operational Risk data strategies to mitigate Operational Risk events and support business line decision making
                                                                  • Act as a ‘Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                                                  • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                                                  • Deliver on analytical projects that provide actionable insights to improve Operational Risk decision making
                                                                  • Ensure team collaboration with partners on business problems / issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                                                  • Recommend improvements to existing processes to support data analytics, including data collection in Source systems
                                                                  • Introduce changes under a test/control framework to help drive objective, evidence-based decisions
                                                                  • Work closely with leadership teams to create data strategies that support data modeling
                                                                  • Build strong and influential internal relationships (with stakeholders such as other Bank data and analytics teams, GOR teams, third parties, etc.) to help ensure business objectives are being met
                                                                  • Ensure all GOR’s data processes comply with the Bank’s data standards, including support with the monitoring of data quality processes.

                                                                  +

                                                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                                                  • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                                                  • Champions a high-performance environment and contributes to an inclusive work environment.

                                                                  +

                                                                  Job Requirements:

                                                                  +

                                                                  +
                                                                  • Ability to be work independently and able to work on teams cross-functionally
                                                                  • Strong leadership, collaboration, and communication skills
                                                                  • Ability to present complex information in a simplified way to various audiences
                                                                  • Experience in statistical & quantitative analysis
                                                                  • Experience in programming ( SAS / Python /R) and databases (SQL,DB2) knowledge, ability to process and analyze large volumes of data
                                                                  • Experience in reporting automation through BI tools like Tableau, Power BI etc
                                                                  • Experience with statistical software packages such as R, Python, and SAS
                                                                  • Experience manipulating large and complex databases
                                                                  • Experience with Operational Risk platforms and methodologies, and their application in strategic decision making, is strongly desired
                                                                  • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                  • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                  • A University degree in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
                                                                  • Fluency in Spanish is an asset
                                                                  • +
                                                                  +

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-09T16:40:56.149Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/192665216-senior-manager-data-governance-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e7f123cb-0852-4526-a751-a1bf403213f6,218282647,Google,"Software Developer III, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.934Z,"
                                                                  +
                                                                  +2023-04-20T19:01:01.089Z
                                                                  +
                                                                    +
                                                                  • Share
                                                                  • +
                                                                    Save +
                                                                  • +

                                                                  Software Developer III, Infrastructure, Google Cloud Platforms

                                                                    +
                                                                  • Google
                                                                  • +
                                                                  • In-office:
                                                                    + Waterloo, ON, Canada +
                                                                  • +
                                                                  +
                                                                  +

                                                                  Qualifications

                                                                  +

                                                                  Minimum qualifications:

                                                                    -
                                                                  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                  • -
                                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                  • -
                                                                  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                  • +
                                                                  • Bachelor’s degree or equivalent practical experience.
                                                                  • +
                                                                  • 2 years of experience with software development in C++.
                                                                  • +
                                                                  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                                                  • +
                                                                  +

                                                                  Preferred qualifications:

                                                                  +
                                                                    +
                                                                  • Master\'s degree or PhD in Computer Science or related technical fields.
                                                                  • +
                                                                  • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                                                  • +
                                                                  • Experience developing accessible technologies.
                                                                  -

                                                                  -

                                                                  Start Date

                                                                  -
                                                                  – Fall
                                                                  -

                                                                  -

                                                                  Inclusiveness

                                                                  -

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/18300632/analytics-and-insights-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:23:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/222290762-analytics-and-insights-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300632/analytics-and-insights-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -5d4d19a1-d1a3-4328-84b0-0c1434f2475d,226986710,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-05-18T16:15:03.974Z,"
                                                                  +
                                                                  +
                                                                  +

                                                                  About the job

                                                                  +

                                                                  Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                  +

                                                                  Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                                                  +

                                                                  Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  Responsibilities

                                                                    +
                                                                  • Write product or system development code.
                                                                  • +
                                                                  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                                                  • +
                                                                  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                                                  • +
                                                                  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                                                  • +
                                                                  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                                                  • +
                                                                  +
                                                                  +

                                                                  Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                  To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                  To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                                                  At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                                                  We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                                                  Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                                                  +
                                                                  +
                                                                  +
                                                                  ",,"https://careers.google.com/jobs/results/126912536151761606-software-developer-iii-infrastructure-google-cloud-platforms/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-27T17:25:03.831Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/218282647-software-developer-iii-infrastructure-google-cloud-platforms-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +d4581324-19ab-434c-b3d0-2894ca3a2d7c,210223736,OMERS,"Director, Data Integration & Performance Platform",on_site,"Ontario, Canada",2023-03-30T17:42:05.285Z,"

                                                                  Vision and Core Values

                                                                  -

                                                                  OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                                                                  +

                                                                  The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                                                                    -
                                                                  • Investing to earn outstanding returns with due regard for risk
                                                                  • -
                                                                  • Partnering with like-minded investment managers
                                                                  • -
                                                                  • Providing high quality service to our members and employers
                                                                  • -
                                                                  • Delivering value for money
                                                                  • -
                                                                  • Building a culture of excellence and pride in OMERS
                                                                  • +
                                                                  • Investing to earn outstanding returns with due regard for risk

                                                                  • +
                                                                  • Partnering with like-minded investment managers

                                                                  • +
                                                                  • Providing high quality service to our members and employers

                                                                  • +
                                                                  • Delivering value for money

                                                                  • +
                                                                  • Building a culture of excellence and pride in OMERS

                                                                  -

                                                                  OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                  +

                                                                  OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                                                                  -

                                                                  Value Proposition

                                                                  -

                                                                  We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                  +

                                                                  Value Proposition

                                                                  +

                                                                  This is an opportunity to join a forward-looking leadership team to help design and lead a digital transformation that will enable OMERS Capital Markets, Total Portfolio Management, and Corporate Finance functions to deliver on our pension promise. Our team is at the early stages of defining a strategic roadmap, and the selected leader will be a key member of the team that will work with our internal partners to understand their needs and deliver outcomes, with excellence. This role joins a team on a journey, with significant future potential in a global, sophisticated, and complex enterprise.

                                                                  -

                                                                  Scope: The Data Engineer is responsible for supporting the investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                  +

                                                                  Scope of Position

                                                                  +

                                                                  Reporting to the VP, Finance Platform, Capital Markets, the Director, Data Integration & Performance Platform leads a team of business system analysts and technical analysts that support and deliver change to data management and performance measurement products, as well as our investment data warehouse, and provide data integration services across mission critical investment systems supporting OMERS Capital Markets. As the lead product manager for this scope of services, the incumbent will be responsible for understanding and delivering against department objectives, and the needs of our internal partners.

                                                                  -

                                                                  Responsibilities:

                                                                  -
                                                                    -
                                                                  • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                  • -
                                                                  • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                  • -
                                                                  • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                  • -
                                                                  • Automate manual processes and optimize data delivery
                                                                  • -
                                                                  • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                  • -
                                                                  • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                  • -
                                                                  • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                  • -
                                                                  • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                  • -
                                                                  • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                  • -
                                                                  +

                                                                  This incumbent will drive strategic initiatives that will enhance the capital markets data & analytics capabilities at OMERS, and will be required to have a deep understanding of modern trends in data management, architecture, cloud infrastructure, and utilities, through continuous learning and industry engagement.

                                                                  -

                                                                  Qualifications:

                                                                  +

                                                                  Responsibilities

                                                                    -
                                                                  • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                  • -
                                                                  • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                  • -
                                                                  • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory) or similar
                                                                  • -
                                                                  • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                  • -
                                                                  • Deep proficiency in SQL, Python, and similar languages
                                                                  • -
                                                                  • Good understanding of investment products
                                                                  • -
                                                                  • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                  • -
                                                                  • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                  • -
                                                                  • Investment data modeling experience using the Kimball method is an asset
                                                                  • -
                                                                  • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                  • -
                                                                  • Data governance experience is an asset
                                                                  • -
                                                                  • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                  • +
                                                                  • Lead the execution of transformation initiatives to modernize OMERS’ data management and performance measurement capabilities for Finance in support of Capital Markets.

                                                                  • +
                                                                  • Develop product strategies and roadmaps.

                                                                  • +
                                                                  • Manage the end-to-end delivery of changes to the investment data warehouse and performance applications.

                                                                  • +
                                                                  • Ensure the timely and accurate delivery of investment data, P&L and performance to internal partners. Includes assisting in the root cause analysis and resolution of data quality issues by tracing data lineage and analyzing technical processes.

                                                                  • +
                                                                  • Engage partners to identify and prioritize new features through pro-active engagement and maintenance of the product backlog.

                                                                  • +
                                                                  • Lead two layered teams, comprising of analysts to senior managers, with vision, clarity, and technical expertise, providing relevant coaching for professional development.

                                                                  • +
                                                                  • Partner with Capital Markets Finance and Data & Technology experts to deliver data integration and reporting solutions, including integrations between order and execution management, accounting, data warehouse, and performance systems.

                                                                  • +
                                                                  • Facilitate vendor governance processes to influence the product roadmap and escalate service issues.

                                                                  • +
                                                                  • Develop and institute solution design principles that are forward-thinking and optimize for efficacy, sustainability, and time to market.

                                                                  • +
                                                                  • Use metrics and feedback to improve organizational processes, implement best practices, and enhance performance, creating a culture of excellence and continuous improvement.

                                                                  • +
                                                                  • Mature change delivery processes and drive a transformation to Agile and DevOps.

                                                                  • +
                                                                  • Track and report on product roadmaps, completed work, capacity, backlog, KPIs, etc.

                                                                  • +
                                                                  • Document and maintain key processes and controls, for training, continuity, and audit purposes.

                                                                  • +
                                                                  • Develop relationships among partners by supporting a culture of transparency, collaboration, and service excellence.

                                                                  • +
                                                                  • Influence and represent the broader team’s leadership, to accomplish collective wins.

                                                                  • +
                                                                  +

                                                                  +

                                                                  Qualifications

                                                                  +
                                                                    +
                                                                  • Minimum 9 years experience in data management and analytics roles managing data warehouse platforms, including production support, change initiatives and/or large transformation programs in the Financial Services industry

                                                                  • +
                                                                  • Minimum of 5 years experience leading, managing and coaching a team with diverse skills and backgrounds, with a demonstrated history of contributing to their development and success

                                                                  • +
                                                                  • Expert knowledge of SQL and cloud enabled data management solutions

                                                                  • +
                                                                  • Expert knowledge of ETL/ELT tools and design patterns

                                                                  • +
                                                                  • Bachelor’s or Master’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, or Finance

                                                                  • +
                                                                  • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments

                                                                  • +
                                                                  • Hands-on experience with delivering complex data assets and a proven ability to manage multiple projects

                                                                  • +
                                                                  • Experience implementing and delivering change to leading investment applications, including but not limited to Eagle, Calypso, and Charles River

                                                                  • +
                                                                  • Experience with the Azure cloud platform and/or Snowflake are nice to have

                                                                  • +
                                                                  • Excellence in all types of communication and facilitation with colleagues at all levels

                                                                  • +
                                                                  • Self-motivated with strong, proven, analytical and problem-solving skills

                                                                  • +
                                                                  • Commitment to standards of professionalism, internal controls and compliance

                                                                  • +
                                                                  • Indications that you fit our desired culture, which mixes beautiful work with smiles and laughter

                                                                  And you demonstrate:

                                                                    -
                                                                  • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                  • -
                                                                  • A teammate mentality coupled with servant leadership
                                                                  • -
                                                                  • A sense of urgency, optimism, and a desire to deliver excellence
                                                                  • -
                                                                  • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                  • -
                                                                  • Strong orientation towards strategy, change, and results
                                                                  • -
                                                                  • A continuous improvement mindset
                                                                  • +
                                                                  • High standards of business and ethical values including the ability to deal with confidential information

                                                                  • +
                                                                  • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

                                                                  • +
                                                                  • A teammate mentality coupled with servant leadership

                                                                  • +
                                                                  • A sense of urgency, optimism, and a desire to deliver excellence

                                                                  • +
                                                                  • A desire to drive debate, to speak candidly and to listen empathetically; and

                                                                  • +
                                                                  • Strong orientation towards strategy, change and results

                                                                  +

                                                                  +

                                                                  #LI-Hybrid

                                                                  @@ -62682,485 +62785,818 @@ bf97dc14-f65e-4608-83c1-11da933f8fe6,221076221,Scotiabank,Velocity - Data Scient

                                                                  Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                  OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                  -
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4567?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-23T21:29:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/226986710-data-engineer-finance-data-at-omers,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -96fefcdf-7d65-454a-b4c5-0eff972e25ac,222290804,TD Bank Group,Risk Management Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:07.388Z,"
                                                                  -

                                                                  Company Overview

                                                                  -
                                                                  -

                                                                  All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                                                  -

                                                                  Why TD?

                                                                  -

                                                                  TD’s Colleague Promise: A better you. A better us.

                                                                  -

                                                                  A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                                                  -
                                                                  +
                                                                  ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Director--Data-Integration---Performance-Platform_JR-4631?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-29T19:50:16.516Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/210223736-director-data-integration-performance-platform-at-omers,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +f2924173-5094-487a-9150-5b4b8d224013,210218588,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-03-30T17:12:02.607Z,"
                                                                  +

                                                                  Address:

                                                                  100 King Street West

                                                                  +

                                                                  +

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                  +
                                                                    +
                                                                  • Acts as a trusted advisor to assigned business/group.
                                                                  • +
                                                                  • Influences and negotiates to achieve business objectives.
                                                                  • +
                                                                  • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                  • +
                                                                  • Assists in the development of strategic plans.
                                                                  • +
                                                                  • Identifies emerging issues and trends to inform decision-making.
                                                                  • +
                                                                  • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                  • +
                                                                  • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                  • +
                                                                  • Conducts independent analysis and assessment to resolve strategic issues.
                                                                  • +
                                                                  • Automates validation tests to improve quality and efficiency of the validation process.
                                                                  • +
                                                                  • Identifies emerging issues and trends to inform decision-making.
                                                                  • +
                                                                  • Builds effective relationships with internal/external stakeholders.
                                                                  • +
                                                                  • Ensures alignment between stakeholders.
                                                                  • +
                                                                  • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                                                                  • +
                                                                  • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                                  • +
                                                                  • Provides input into the planning and implementation of operational programs.
                                                                  • +
                                                                  • Executes work to deliver timely, accurate, and efficient service.
                                                                  • +
                                                                  • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                  • +
                                                                  • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                  • +
                                                                  • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                  • +
                                                                  • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                  • +
                                                                  • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                  • +
                                                                  • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                  • +
                                                                  • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                  • +
                                                                  • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                  • +
                                                                  • Performs experimental design approaches to validate finding or test hypotheses.
                                                                  • +
                                                                  • Uses the appropriate algorithms to discover patterns.
                                                                  • +
                                                                  • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                  • +
                                                                  • Supports development of tools and delivers training for data and analytics.
                                                                  • +
                                                                  • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                  • +
                                                                  • Leads/participates in the design, implementation and management of core business/group processes.
                                                                  • +
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • +
                                                                  • Provides specialized consulting, analytical and technical support.
                                                                  • +
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • +
                                                                  • Works independently and regularly handles non-routine situations.
                                                                  • +
                                                                  • Broader work or accountabilities may be assigned as needed.

                                                                    Qualifications:

                                                                    +
                                                                  • +
                                                                  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                  • +
                                                                  • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                                                                  • +
                                                                  • Relevant experience in risk, capital, and/or treasury management is preferred.
                                                                  • +
                                                                  • A professional designation in Finance or Risk management is preferred.
                                                                  • +
                                                                  • Post-secondary degree in Finance/Economics/Math required.
                                                                  • +
                                                                  • Professional designation in Finance or Risk management required.
                                                                  • +
                                                                  • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                  • +
                                                                  • Verbal & written communication skills - In-depth.
                                                                  • +
                                                                  • Collaboration & team skills - In-depth.
                                                                  • +
                                                                  • Analytical and problem solving skills - In-depth.
                                                                  • +
                                                                  • Influence skills - In-depth.
                                                                  • +
                                                                  • Data driven decision making - In-depth.
                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  We’re here to help

                                                                  -

                                                                  Department Overview

                                                                  -
                                                                  -

                                                                  Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                  -

                                                                  Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                  +

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  +

                                                                  +

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  +

                                                                  +

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  +

                                                                  +

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  +

                                                                  +

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  +
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-29T18:15:45.865Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/210218588-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-03-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +09e9fc40-f36a-4dc5-b970-119d1bab8513,218284079,Sun Life Financial,Senior Data Scientist (Health),on_site,"Ontario, Canada",2023-04-24T17:41:03.294Z,"
                                                                  +

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Description:

                                                                  +

                                                                  +

                                                                  Role Summary

                                                                  +

                                                                  +

                                                                  To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

                                                                  +

                                                                  +

                                                                  The DSA team is responsible for:

                                                                    -
                                                                  • Leadership talks with key Leaders from across the organization
                                                                  • -
                                                                  • Lunch and Learns on topics such as Innovation
                                                                  • -
                                                                  • Diversity and Inclusion and Personal Branding and so much more
                                                                  • +
                                                                  • Being the analytics translators to identify and deliver high-impact data science use cases

                                                                  • +
                                                                  • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

                                                                  • +
                                                                  • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

                                                                  • +
                                                                  • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

                                                                  -

                                                                  For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                                                                  -

                                                                  TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                                                                  -

                                                                  -

                                                                  Job Description

                                                                  -
                                                                  -

                                                                  Risk Management is a key Corporate Function supporting the front-line businesses within TD with over 1,800 employees in offices in Canada, United States, UK and Singapore. We partner internally with many different areas of TD as well as our business partners to ensure we exceed our client’s expectations, and employees to focus on a positive employee experience. We work externally with regulators to align with industry standards and benchmark ourselves against best practices.

                                                                  -

                                                                  As a student part of the TD Risk Management Co-op program you will have the opportunity to join different development workshops, seminars and lunch and learns. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                                                                  -
                                                                  +

                                                                  The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

                                                                  -

                                                                  Requirements

                                                                  -
                                                                  +

                                                                  What Will You Do?

                                                                    -
                                                                  • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent
                                                                  • -
                                                                  • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                                                                  • -
                                                                  • Familiarity with SAS
                                                                  • -
                                                                  • Relational database SQL skills for data mining, extraction and statistical analysis.
                                                                  • -
                                                                  • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                                                                  • -
                                                                  • Dedicated, detail oriented, and an ability to propose creative solutions
                                                                  • -
                                                                  • Written & verbal communication skills
                                                                  • -
                                                                  • Quick learner
                                                                  • -
                                                                  • High degree of personal initiative
                                                                  • +
                                                                  • +

                                                                    Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

                                                                    +
                                                                      +
                                                                    • Work closely with health product and strategy team to define use case and scope

                                                                    • +
                                                                    • Identify appropriate data sources relevant to the modeling application

                                                                    • +
                                                                    • Create data pipeline for extracting the data into AWS S3

                                                                    • +
                                                                    • Perform data preprocessing to ensure data quality

                                                                    • +
                                                                    • Apply feature engineering principles to create feature space

                                                                    • +
                                                                    • Create labels if known and appropriate to the problem at hand

                                                                    • +
                                                                    • Apply machine learning models to identify model with best performance

                                                                    • +
                                                                    • Perform cross validation and hyper parameter tuning to optimize model performance

                                                                    • +
                                                                    • Prepare model for deployment

                                                                    • +
                                                                    • Monitor deployed model for data and model drift

                                                                    -

                                                                    Skills that are not required, but considered an asset

                                                                    +
                                                                  • +
                                                                  • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

                                                                  • +
                                                                  • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

                                                                  • +
                                                                  • Develop and present reporting solutions to key stakeholders and partners

                                                                  • +
                                                                  • Learn about business processes to analyze, interpret, and advise managers on analytical findings

                                                                  • +
                                                                  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

                                                                  • +
                                                                  • Understand and incorporate technology best practices with a primary focus on Tableau and Python

                                                                  • +
                                                                  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

                                                                  • +
                                                                  +

                                                                  +

                                                                  What Do You Need To Succeed?

                                                                    -
                                                                  • Knowledge of Financial Industry/Risk Management/Retail Credit products
                                                                  • -
                                                                  • Experience using Business Intelligence Reporting tools such as SAP Business Objects, Cognos or Tableau
                                                                  • -
                                                                  • Microsoft Visio would be an asset
                                                                  • -
                                                                  • Knowledge of R and HIVE
                                                                  • -
                                                                  • Knowledge of Basel Capital Frameworks Quality Center (HP ALM) Testing tool
                                                                  • -
                                                                  • MS Project
                                                                  • +
                                                                  • Coding experience preferably in Python (minimum 3 years)

                                                                  • +
                                                                  • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

                                                                  • +
                                                                  • Experience in healthcare and familiarity with health data (1 year)

                                                                  • +
                                                                  • Familiar with data science project life cycle

                                                                  • +
                                                                  • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

                                                                  • +
                                                                  • Strong problem solving and analytical skills

                                                                  • +
                                                                  • Demonstrated ability to produce meaningful results from data

                                                                  • +
                                                                  • Proven experience consolidating and analyzing data sources

                                                                  • +
                                                                  • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

                                                                  • +
                                                                  • Comfortable learning new applications quickly with minimal direction

                                                                  • +
                                                                  • Proven ability to work collaboratively within a cross functional team environment

                                                                  • +
                                                                  • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

                                                                  • +
                                                                  • Attention to detail and in-depth planning, organizational and time management skills

                                                                  • +
                                                                  • Experience working with relational databases and creating data models with efficient design

                                                                  • +
                                                                  • Experience with AWS SageMaker would be an asset.

                                                                  -

                                                                  -

                                                                  Additional Information

                                                                  -
                                                                  -

                                                                  Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                                                  +

                                                                  Unique Requirements

                                                                    -
                                                                  • This position is an 4-month work term and will commence Sept 5th – Dec 22nd, 2023
                                                                  • -
                                                                  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                  • -
                                                                  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                  • -
                                                                  • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                  • +
                                                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                  • +
                                                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  -

                                                                  LOCATION

                                                                  -
                                                                  • Hybrid work model, centered in Toronto. TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                  -

                                                                  -

                                                                  Start Date

                                                                  -
                                                                  – Fall
                                                                  +

                                                                  What\'s In It For You?

                                                                  +
                                                                    +
                                                                  • Competitive salary and bonus structure influenced by market range data

                                                                  • +
                                                                  • 20 days vacation per year and an innovative sabbatical program

                                                                  • +
                                                                  • Great Place to Work® Certified in Canada and the US - 2022

                                                                  • +
                                                                  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                  • +
                                                                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                                                                  • +
                                                                  • A friendly, collaborative and inclusive culture

                                                                  • +
                                                                  • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                  • +
                                                                  • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                  • +
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                                  • +
                                                                  • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                  • +

                                                                  -

                                                                  Inclusiveness

                                                                  -

                                                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                                                  -
                                                                  ",,https://jobs.td.com/en-CA/jobs/18306691/risk-management-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:27:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/222290804-risk-management-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306691/risk-management-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -74c08a73-2913-4225-8605-4af69bc7f0a4,226183733,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.118Z,"

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  Requisition ID: 174805

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  -

                                                                  About the Team:
                                                                  At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                                                                  -

                                                                  Position Highlights:
                                                                  The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                                                                  -

                                                                  Is this role right for you?

                                                                  -
                                                                  • Produce periodical analytical summary reports for the Research Management team
                                                                  • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                                                                  • Create and maintain dashboards and reports that can be leveraged by users to find insights
                                                                  • Analyze client accounts to identify outreach opportunities and gauge account profitability
                                                                  • Work with Research Analysts to improve the format and delivery of their product
                                                                  • Understand business processes to analyze, interpret, and advise staff on analytical findings
                                                                  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                                                                  • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                                                                  • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                                                                  • Diligently perform quality assurance and assess operational and reputation risk
                                                                  • Monitor and analyze buyside client consumption of the research product
                                                                  • Respond to internal and external inquiries on the research product and agreements
                                                                  • Issue invoices for research clients and track payments with internal Finance teams
                                                                  • -
                                                                  -

                                                                  Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                  -
                                                                  • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                                                                  • Excellent command of Microsoft Office, with an emphasis on Excel is required
                                                                  • Proven experience in SQL and .NET is required
                                                                  • Working knowledge of Angular and Python would be an asset
                                                                  • Strong problem-solving and analytical skills
                                                                  • Excellent written and verbal communication skills
                                                                  • Attention to detail and time management skills
                                                                  • Ability to produce meaningful results from data
                                                                  • Proven experience consolidating and analyzing different data sources
                                                                  • Ability to work collaboratively within a cross functional team environment
                                                                  • Ability to succeed in a dynamic and fast-paced environment
                                                                  • -
                                                                  -

                                                                  -

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T20:13:05.616Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/226183733-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e5a233fb-63e2-4ca8-a3fa-c80877c24997,231447031,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Ontario, Canada",2023-06-01T15:39:02.561Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  06/13/2023

                                                                  +

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  -

                                                                  -

                                                                  We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

                                                                  +

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  -

                                                                  The role will sit on the Wealth Data Analytics and Strategy team and support the Global Asset Management Retail Sales and Distribution team with proactive, actionable insights across all Mutual Fund products. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership.

                                                                  +

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  -

                                                                  Key Accountabilities:

                                                                  +

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  +

                                                                  +

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  +

                                                                  +

                                                                  Salary Range:

                                                                  74,100/74 100 - 120,800/120 800

                                                                  +

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  +

                                                                  Posting End Date:

                                                                  30/04/2023
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00075947?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-01T17:46:01.963Z,False,0,11,26,https://talenthub.vectorinstitute.ai/jobs/218284079-senior-data-scientist-health-at-sun-life-financial,,expired,2023-04-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ee915a38-782a-416a-82ea-b740e0904bae,218284078,Sun Life Financial,Senior Business Data Engineer,on_site,"Ontario, Canada",2023-04-24T17:41:03.131Z,"
                                                                  +

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Description:

                                                                  +

                                                                  +

                                                                  At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                  +

                                                                  +

                                                                  Role Summary:

                                                                  +

                                                                  +

                                                                  The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                                                  +

                                                                  +

                                                                  Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                                                  +

                                                                  +

                                                                  What will you do?

                                                                    -
                                                                  • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision
                                                                  • -
                                                                  • Work with internal clients and diverse stakeholders to understand, track and improve their business objectives, scope and KPIs
                                                                  • -
                                                                  • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences
                                                                  • -
                                                                  • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
                                                                  • -
                                                                  • Improve and automate process using a variety of tools to drive operational efficiency
                                                                  • -
                                                                  • Manage, prioritize, and respond to ad-hoc requests
                                                                  • -
                                                                  • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
                                                                  • -
                                                                  • Assist the retail bank branch channel in campaign performance measurement and increasing productivity of all strategic initiatives
                                                                  • -
                                                                  • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
                                                                  • +
                                                                  • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                                                  • +
                                                                  • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                                                  • +
                                                                  • Ensure high level of data quality and data integrity are maintained across data sources for business

                                                                  • +
                                                                  • Convert complex business and technical rules into logic for data flows and data pipelines

                                                                  • +
                                                                  • Work with our Data Science teams to implement data products for various use cases

                                                                  • +
                                                                  • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                                                  • +
                                                                  • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                                                  -

                                                                  Qualifications:

                                                                  +

                                                                  What do you need to succeed?

                                                                    -
                                                                  • 5-7 years of work experience in Business, Financial industry
                                                                  • -
                                                                  • 3+ Proven experience working with SQL language and large datasets
                                                                  • -
                                                                  • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related
                                                                  • -
                                                                  • Good verbal and written communication skills; able to effectively present analytics data to business users
                                                                  • -
                                                                  • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process
                                                                  • -
                                                                  • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
                                                                  • -
                                                                  • One or More Master\'s Degree in Data Analytics, MBA, CFA, CPA preferred but not required
                                                                  • -
                                                                  • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
                                                                  • -
                                                                  • Proficient in visualization tools such as Tableau or Power BI
                                                                  • -
                                                                  • Experience in running campaigns through design, execution, and performance tracking
                                                                  • -
                                                                  • A strong passion for data, charts, analysis, trends, and evangelizing data usage
                                                                  • +
                                                                  • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

                                                                  • +
                                                                  • 2+ years experience with AWS Glue for ETL

                                                                  • +
                                                                  • 3 years experience in Pyspark and SQL

                                                                  • +
                                                                  • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                                                  • +
                                                                  • 3-5 years experience with engineering data products as input to various analytical models

                                                                  • +
                                                                  • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                                                  • +
                                                                  • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                                                  • +
                                                                  • Sound understanding of data modelling and a passion for analytics

                                                                  • +
                                                                  • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                                                  • +
                                                                  • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                                                  • +
                                                                  • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                                                  • +
                                                                  • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                                                  • +
                                                                  • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                                                  +

                                                                  Education and Qualifications:

                                                                  +
                                                                    +
                                                                  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                                                  • +
                                                                  • Graduate degree in business or quantitative science strongly preferred

                                                                  • +

                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R230007335?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:41:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/231447031-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,expired,2023-06-01T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a4956530-8e94-4043-865a-62336e18acb5,233912497,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-06-08T15:39:07.186Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  06/29/2023

                                                                  +

                                                                  Unique Requirements

                                                                  +
                                                                    +
                                                                  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                  • +
                                                                  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                  • +
                                                                  +

                                                                  +

                                                                  What would be nice to have?

                                                                  +
                                                                    +
                                                                  • Understand and Embrace Agile Operating Model

                                                                  • +
                                                                  • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                                                  • +
                                                                  • Experience working in a large financial services organization

                                                                  • +
                                                                  • Knowledge of fundamental statistical models & techniques

                                                                  • +

                                                                  -

                                                                  Address:

                                                                  250 Yonge Street

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                                                                  +

                                                                  What\'s In It For You?

                                                                  +
                                                                    +
                                                                  • Great Place to Work® Certified in Canada and the US - 2022

                                                                  • +
                                                                  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                                                  • +
                                                                  • Named “Best Places to Work” by Glassdoor - 2021

                                                                  • +
                                                                  • Canada Award for Excellence for Mental Health at Work - 2021

                                                                  • +
                                                                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                                                  • +
                                                                  • Competitive salary and bonus structure influenced by market range data

                                                                  • +
                                                                  • Pension, stock and savings programs to help build and enhance your future financial security

                                                                  • +
                                                                  • A friendly, collaborative, and inclusive culture

                                                                  • +
                                                                  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                  • +
                                                                  • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                                                  • +

                                                                  -

                                                                  Key Priorities/duties:

                                                                  +

                                                                  +

                                                                  The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                  +

                                                                  +

                                                                  Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                  +

                                                                  +

                                                                  Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                  +

                                                                  +

                                                                  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                  +

                                                                  +

                                                                  We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                  +

                                                                  +

                                                                  Salary Range:

                                                                  74,100/74 100 - 120,800/120 800

                                                                  +

                                                                  Job Category:

                                                                  Advanced Analytics

                                                                  +

                                                                  Posting End Date:

                                                                  30/04/2023
                                                                  ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-01T17:46:01.963Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218284078-senior-business-data-engineer-at-sun-life-financial,,expired,2023-04-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +51231ce6-1dde-4a80-a074-90d2087ee7ee,213974935,TELUS,"Manager, Data Engineering",on_site,"Ontario, Canada",2023-04-10T17:42:03.347Z,"
                                                                  +
                                                                  +

                                                                  Description

                                                                  +
                                                                  +


                                                                  Join our team and what we\'ll accomplish together

                                                                  +

                                                                  +

                                                                  We are searching for a talented candidate to become our team’s Manager, Enterprise Data Engineering. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps as well as provide overarching direction to support our TELUS Business Solutions Team (TBS).

                                                                  +

                                                                  +

                                                                  The portfolio will focuses on continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, real-time data ingestion, addressing technical debt and support the Business Master Data Management (MDM) and Revenue Generating Unit (RGU) workstreams. Our team is a cloud first team and leverages the latest technologies to fuel our mission and purpose.

                                                                  +

                                                                  +

                                                                  What you’ll do

                                                                  +

                                                                  +

                                                                  At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

                                                                  +

                                                                    -
                                                                  • Governance, Risk and Compliance Dashboard support using Power BI

                                                                  • -
                                                                  • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                                                                  • +
                                                                  • Lead a team of talented data platform Analysts, Engineers and Architects to drive the modernization of our data platforms
                                                                  • +
                                                                  • Foster internal and external stakeholder relationships, including managing senior executive participants
                                                                  • +
                                                                  • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
                                                                  • +
                                                                  • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings.
                                                                  • +
                                                                  • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
                                                                  • +
                                                                  • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
                                                                  • +
                                                                  • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
                                                                  • +
                                                                  • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
                                                                  • +
                                                                  • Support the annual strategic and financial planning process
                                                                  • +
                                                                  • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                                                  • +
                                                                  • Mentor, lead, and support a diverse and very talented team
                                                                  -

                                                                  -

                                                                  This is a HYBRID role based in the Greater Toronto area.

                                                                  -

                                                                  -

                                                                  -

                                                                  Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                                                  +
                                                                  +
                                                                  +
                                                                  +

                                                                  Qualifications

                                                                  +
                                                                  +


                                                                  What you bring

                                                                  +

                                                                  +

                                                                  You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction

                                                                    -
                                                                  • Builds effective relationships with internal/external stakeholders.
                                                                  • -
                                                                  • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                                                  • -
                                                                  • Designs, develops, and implements innovative analytical solutions.
                                                                  • -
                                                                  • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                  • -
                                                                  • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                                                  • -
                                                                  • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                                                  • -
                                                                  • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                                                  • -
                                                                  • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                  • -
                                                                  • Designs, develops, and implements innovative analytical solutions.
                                                                  • -
                                                                  • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                  • -
                                                                  • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                                                  • -
                                                                  • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                  • -
                                                                  • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                                                  • -
                                                                  • Analyzes data and information to provide subject-matter insights and recommendations.
                                                                  • -
                                                                  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                  • -
                                                                  • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                  • -
                                                                  • Builds effective relationships with internal/external stakeholders.
                                                                  • -
                                                                  • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                                                  • -
                                                                  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                  • -
                                                                  • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                  • -
                                                                  • Works independently on a range of complex tasks, which may include unique situations.
                                                                  • -
                                                                  • Broader work or accountabilities may be assigned as needed.
                                                                  • +
                                                                  • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
                                                                  • +
                                                                  • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
                                                                  • +
                                                                  • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
                                                                  • +
                                                                  • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
                                                                  • +
                                                                  • You have experience with cloud migration projects, agile methodologies, and DevOps practices
                                                                  • +
                                                                  • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                                                  • +
                                                                  • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                                                  • +
                                                                  • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                                                  • +
                                                                  • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                                                                  • +
                                                                  • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam) and Kafka
                                                                  • +
                                                                  • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectivenes
                                                                  • +
                                                                  +

                                                                  +

                                                                  Great-to-haves

                                                                  +

                                                                  +
                                                                    +
                                                                  • Bachelor of Computer Science or equivalent
                                                                  • +
                                                                  • 5+ years of progressive and relevant work experience with enterprise data
                                                                  • +
                                                                  • PMP certification is an asset
                                                                  • +
                                                                  • Experience with the data offerings in the Google Cloud Platform
                                                                  • +
                                                                  • Experience in the telecommunications industry
                                                                  • +
                                                                  • Excellent communication skills and ability to lead a large team
                                                                  • +
                                                                  +
                                                                  +
                                                                  +
                                                                  ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-ON/566444117/,feed-importer@jobboard.io,,,,2023-05-01T21:58:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/213974935-manager-data-engineering-at-telus,,expired,2023-04-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +1b9accf4-f6b9-4596-873b-39a82e83382a,219393199,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-04-27T17:27:02.383Z,"
                                                                  +

                                                                  What’s the opportunity?

                                                                  +

                                                                  Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                                                  +

                                                                  Your responsibilities include:

                                                                  +
                                                                    +
                                                                  • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                                                  • +
                                                                  • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                                                  • +
                                                                  • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                                                  • +
                                                                  • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                                                  • +
                                                                  • To manage other research team leads and provide guidance and support.
                                                                  • +
                                                                  • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                                                  • +
                                                                  +

                                                                  You’re our ideal candidate if you have:

                                                                  +
                                                                    +
                                                                  • A Ph.D. degree in Computer Science or a related technical field;
                                                                  • +
                                                                  • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                                                  • +
                                                                  • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                                                  • +
                                                                  • Experience delivering successful high-impact machine learning products
                                                                  • +
                                                                  • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                                                  • +
                                                                  • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                                                  • +
                                                                  • The ability to formulate and drive multiple research projects independently;
                                                                  • +
                                                                  • Exceptional communication and leadership skills;
                                                                  • +
                                                                  • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                                                  • +
                                                                  +

                                                                  What\'s in it for you?

                                                                  +
                                                                    +
                                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                  • +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                  • +
                                                                  • Ability to make a difference and lasting impact from a local-to-global scale
                                                                  • +
                                                                  +

                                                                  About Borealis AI

                                                                  +

                                                                  Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                  +

                                                                  +
                                                                  ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-12T17:12:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/219393199-research-director-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +b66c43ef-d620-4bfb-b36a-d83cfaed0cb0,217991214,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-04-23T17:27:01.479Z,"
                                                                  +

                                                                  What’s the opportunity?

                                                                  +

                                                                  We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                                                  Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                                                  +

                                                                  Your responsibilities include:

                                                                  +
                                                                    +
                                                                  • Helping build a world-class AI platform for Borealis AI and RBC;
                                                                  • +
                                                                  • Designing and building data pipelines for Borealis AI projects;
                                                                  • +
                                                                  • Building efficient data systems and abstractions for Borealis AI projects;
                                                                  • +
                                                                  • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                                                  -

                                                                  -

                                                                  SKILLS and Qualifications:

                                                                  +

                                                                  You’re our ideal candidate if you:

                                                                    -
                                                                  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                  • -
                                                                  • MUST HAVE VBA (At least 3 years desired)
                                                                  • -
                                                                  • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                                                                  • -
                                                                  • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                                                  • -
                                                                  • Technical proficiency gained through education and/or business experience.
                                                                  • -
                                                                  • Verbal & written communication skills - In-depth.
                                                                  • -
                                                                  • Collaboration & team skills - In-depth.
                                                                  • -
                                                                  • Analytical and problem solving skills - In-depth.
                                                                  • -
                                                                  • Influence skills - In-depth.
                                                                  • -
                                                                  • Data driven decision making - In-depth.
                                                                  • +
                                                                  • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                                                  • +
                                                                  • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                                                  • +
                                                                  • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                                                  • +
                                                                  • Strong enterprise experience with data systems and infrastructure at scale;
                                                                  • +
                                                                  • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                                                  • +
                                                                  • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                                                  • +
                                                                  • Strong communication skills and a collaborative attitude;
                                                                  • +
                                                                  • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                                                  -

                                                                  -

                                                                  -

                                                                  We’re here to help

                                                                  -

                                                                  -

                                                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                  -

                                                                  -

                                                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                  -

                                                                  -

                                                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                  -

                                                                  -

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  -

                                                                  -

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:43:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/233912497-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-06-08T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a9d50065-17b0-4268-8af3-b191bf18fef3,232858626,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2023-06-05T16:15:04.051Z,"
                                                                  -
                                                                  -

                                                                  Description

                                                                  -
                                                                  -

                                                                  -

                                                                  Join our team

                                                                  -

                                                                  -

                                                                  The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                                  -

                                                                  -

                                                                  We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                                                                  +

                                                                  What’s in it for you?

                                                                  +
                                                                    +
                                                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                  • +
                                                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                  • +
                                                                  • Leaders who support your development through coaching and managing opportunities;
                                                                  • +
                                                                  • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                  • +
                                                                  +

                                                                  About Borealis AI

                                                                  +

                                                                  Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                  +

                                                                  Inclusion and Equal Opportunity Employment

                                                                  +

                                                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                  -

                                                                  Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                  +
                                                                  ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-12T17:08:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/217991214-data-engineer-at-borealis-ai,,expired,2023-04-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +595f5d69-bde9-4a2c-98c8-67a0b1e5a562,236452209,Scotiabank,"Data Scientist, Financial Crimes Risk Management Models and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.725Z,"

                                                                  -

                                                                  Here’s the impact you’ll make and what we’ll accomplish together

                                                                  -

                                                                  You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                                                                  -

                                                                  As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                                                  +

                                                                  Requisition ID: 179463

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -

                                                                  Here\'s how

                                                                  +

                                                                  Purpose of Job
                                                                  We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. The Data Scientist will be responsible for designing, enhancing, and implementing data-driven solutions supporting the Bank's AML/ATF Client Risk Rating models.
                                                                  This role contributes to the overall success of Global Risk Management’s AML/ATF team by analyzing and improving client risk rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

                                                                  +

                                                                  Key Job Accountabilities
                                                                  • Apply range of modeling techniques from basic statistical models to AI and Machine Learning, to develop, maintain and implement models for client risk rating case generation in support of Scotiabank’s AML/ATF program
                                                                  • Creation and maintenance of documentation for models and for the results data analysis
                                                                  • Collaborating and coordinating with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
                                                                  • Communicate complex data findings and insights to technical and non-technical stakeholders
                                                                  • Support the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
                                                                  • Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements

                                                                  +

                                                                  Skills, Experiences and Functional Competencies
                                                                  • Experience with statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQL-like language is preferred, experience with Apache Spark is beneficial
                                                                  • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks
                                                                  • Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
                                                                  • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
                                                                  • Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment

                                                                  +

                                                                  Education and Other Requirements
                                                                  • Bachelor’s degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
                                                                  • Fluency in both English and Spanish is preferred

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-12-Month-Contract/571299817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,11,24,https://talenthub.vectorinstitute.ai/jobs/236452209-data-scientist-financial-crimes-risk-management-models-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-12-Month-Contract/571299817/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +4f269690-0cc3-4815-8e4a-25de032955b3,235604756,Roche,Finance Center of Excellence - Advanced Analytics Lead,on_site,"Mississauga, ON, Canada",2023-06-12T20:28:02.819Z,"

                                                                  The Position

                                                                  +

                                                                  We are seeking a highly motivated and experienced Finance Advanced Analytics & Machine Learning Product Owner to join our team. This Product Owner will be responsible for driving and supporting (and in some cases, developing) our use cases and execution of Predictive Forecasting and Statistical Modeling capabilities to our Finance data that generates valuable insights to our organization. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization.

                                                                  +

                                                                  You need to be well versed in exploration of data and analytics, statistical modeling and predictive forecasting capabilities, and blending this with our core products in the Advanced Analytics space (R, Python, SAP Analytics Cloud, and others). You will be collaborating across Finance and with our Informatics and Shared Services Data Science organizations to execute in building a strategic approach to our Advanced Analytics capabilities for the Finance organization and our business stakeholders.

                                                                  +

                                                                  +

                                                                  This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Analytics in Finance in the Pharmaceutical or similar industry, with a comprehensive understanding of key financial processes and systems, organizational needs, and with a value focused approach.

                                                                  +

                                                                  +

                                                                  The successful candidate will be responsible for:

                                                                    -
                                                                  • Lead the iterative development, validation, and deployment of AI/ML models
                                                                  • -
                                                                  • Collaborate on end-to-end automation efforts required to bring models to production
                                                                  • -
                                                                  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                                                  • -
                                                                  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                                                  • -
                                                                  • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                                                  • -
                                                                  • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                                                  • -
                                                                  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                                                  • -
                                                                  • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                                                  • +
                                                                  • Developing a deep understanding of the organization's financial data needs and identifying opportunities to leverage data to drive business outcomes.
                                                                  • +
                                                                  • Working closely with cross-functional teams, including data engineers, data analysts, and business stakeholders to define product requirements and drive the development of machine learning and descriptive, predictive and prescriptive analytics and use cases.
                                                                  • +
                                                                  • Defining and monitoring key performance indicators (KPIs) for our advanced analytics products to measure their effectiveness and impact.
                                                                  • +
                                                                  • Be a steward for digital capabilities, helping to identify and develop capabilities in the advanced analytics space from the finance perspective
                                                                  • +
                                                                  • Staying up-to-date with industry trends and best practices in advanced analytics and recommending changes to improve the organization's finance strategy in this area.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Requirements:

                                                                  +
                                                                    +
                                                                  • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
                                                                  • +
                                                                  • Minimum of 5 years of experience in finance, data analytics, or a related field.
                                                                  • +
                                                                  • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
                                                                  • +
                                                                  • Experience in the areas of core financial forecasting activities and processes
                                                                  • +
                                                                  • Experience in Advanced Forecasting, including familiarity with developing or supporting time-series or statistical forecast models
                                                                  • +
                                                                  • Experience in Advanced Data Analytics, including designing and/or delivering advanced quantitative data analyses leveraging large/complex datasets
                                                                  • +
                                                                  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
                                                                  • +
                                                                  • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
                                                                  • +
                                                                  • Familiarity with agile development methodologies.
                                                                  • +
                                                                  +
                                                                    +
                                                                  • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization)
                                                                  • +
                                                                  • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                                                                  +

                                                                  +

                                                                  If you are passionate about finance, leveraging powerful advanced analytics technologies to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

                                                                  +

                                                                  +

                                                                  ** This role is NOT eligible for relocation**

                                                                  +

                                                                  +

                                                                  Who we are

                                                                  +

                                                                  At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                  +

                                                                  +

                                                                  Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                  +

                                                                  +

                                                                  As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                  +

                                                                  +

                                                                  Roche is an Equal Opportunity Employer.

                                                                  ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Advanced-Analytics-Lead_202306-113627,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:30:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/235604756-finance-center-of-excellence-advanced-analytics-lead-at-roche,,expired,2023-06-12T20:28:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +fc5e24a5-d835-47dd-85fd-b6b19064e92c,231454915,Scotiabank,"Global Head, Data Security",on_site,Canada : Ontario : Toronto,2023-06-01T15:52:02.715Z,"

                                                                  -
                                                                  -
                                                                  -
                                                                  -

                                                                  Qualifications

                                                                  -

                                                                  -

                                                                  You\'re the missing piece of the puzzle

                                                                  +

                                                                  Requisition ID: 178751

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  -
                                                                    -
                                                                  • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                                                  • -
                                                                  • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
                                                                  • -
                                                                  • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                                                  • -
                                                                  • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                                                  • -
                                                                  • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                                                  • -
                                                                  • You possess advanced knowledge in SQL and distributed computing
                                                                  • -
                                                                  • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                                                  • -
                                                                  • You are well versed in software and AI development lifecycles, including ML Ops
                                                                  • -
                                                                  • You are agile and have a bias for action, removing roadblocks to get results fast
                                                                  • +

                                                                    Reporting to the CISO & Senior Vice President Information Security & Control, the Global Head, Data Security, will be responsible for leading a team of data security experts in implementing and deploying new and emerging data management and protection models, standards and technologies that are required to keep the Bank and its customers safe and secure globally.

                                                                    +

                                                                    +

                                                                    Accountabilities:

                                                                    +
                                                                    • Design a proactive global data strategy that ensures data is properly secured regardless of its environment or where it’s located
                                                                    • Design a data management model for how we model and manage unstructured data
                                                                    • +Lead a team of data and cyber security technologists to implement and maintain new data security standards and technology across the Bank globally. Understand the content, usage, external governing regulations and how to implement solutions across all of the geographies in which Scotiabank operates.
                                                                      • Determine appropriate controls with key stakeholders
                                                                      • Procure technology according to the Bank’s Enterprise Delivery Framework
                                                                      • Budgeting, forecasting and financial oversight of the total cost of new technology implementation
                                                                      • Ensure that we stay current and aligned to the market and dynamic regulatory changes over data residency
                                                                      • Evaluate external data management practices to ensure that third parties are appropriately protecting Bank data
                                                                    • Provide strategic direction to the team to identify, manage and manipulate data that enables prompt identification of abnormal activity that could indicate an active internal or external threat to the Bank
                                                                    • Partner with the Data and Analytics team to understand and influence the sensitivity and classification of business data to ensure that it is appropriately protected regardless of where it is stored.
                                                                    • Partner with the Privacy Office and Compliance teams globally to ensure that we are meeting country-specific requirements.
                                                                    • Provide data domain expertise to the cyber strategy by developing roadmaps to represent current and future state
                                                                    • Champion innovative and proven data protection approaches and create cross-bank awareness across Digital Factories; Architecture and Engineering teams, Global Technology Services, Data and Analytics, Information Security & Control and other key stakeholders to implement and operationalize new data security technologies which will reduce the invested effort before discovering a problem
                                                                    • Represent the bank and partner with new and emerging technology vendors, including Venture Capital partnerships, which will benefit the bank (Examples include RiskIQ, Team8/Sygnia, etc.)
                                                                    • Keep abreast of new technologies and maintain the data security component of the Cyber Security roadmap.
                                                                    • Continually research and explore opportunities to simplify processes and technologies and associated costs, and continuously evaluate our existing processes and toolsets against best-in-class alternatives.
                                                                    • Maintain deep communications and positive external relations across the cyber/ financial industry.
                                                                    • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates the Bank’s risk culture and risk appetite statement throughout their teams.
                                                                    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                    • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
                                                                    +
                                                                    +
                                                                    +
                                                                    Education & Experience :
                                                                    +
                                                                    +
                                                                    • Expert knowledge of data security solutions, data models, systems architectures, operational models, security techniques and standards such as NIST and the MITRE ATT&CK framework
                                                                    • Five plus years experience leading large, global teams, and 10+ years in data or Cybersecurity roles
                                                                    • Proven ability to engage and influence multi-disciplinary Executive Stakeholders
                                                                    • +
                                                                    +

                                                                    #LI-Hybrid #cyberatscotia

                                                                    +

                                                                    -

                                                                    Great-to-haves

                                                                    -

                                                                    +

                                                                    Location(s): Canada : Ontario : Toronto

                                                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-29T19:28:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/231454915-global-head-data-security-at-scotiabank,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,expired,2023-06-01T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +083cd1ec-d711-406a-b936-91fb9d78efaa,249063922,Roche,Principal Scientist II Bioinformatics,on_site,"Mississauga, ON, Canada",2023-07-20T16:20:18.730Z,"

                                                                  The Position

                                                                  +

                                                                  Roche Sequencing Solutions (RSS), a business within Roche Diagnostics, focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas. We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development efforts.

                                                                  +

                                                                  In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies. This will include illumine SBS (sequencing by synthesis), nanopore, etc. to design and develop algorithms for read processing, alignment, and variant (SNV, SV, insertions/deletions, CNV, TMB, MSI) callers etc. This will be used in our products that will affect patient care.

                                                                  +

                                                                  Responsibilities:

                                                                    -
                                                                  • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                                                  • -
                                                                  • Experience with agile methodology and work in a start-up environment
                                                                  • -
                                                                  • GCP or other cloud certifications
                                                                  • +
                                                                  • Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment.
                                                                  • +
                                                                  • Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses
                                                                  • +
                                                                  • Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance
                                                                  • +
                                                                  • Support bioinformatics pipeline to continue development for existing products
                                                                  -

                                                                  #LI-REMOTE

                                                                  -

                                                                  -

                                                                  -
                                                                  -
                                                                  -
                                                                  ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/569738117/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,52,https://talenthub.vectorinstitute.ai/jobs/232858626-senior-data-scientist-at-telus,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -9a7ab3c2-c469-40b7-890d-7c4a3ecb6a1b,232858621,Avidbots,Software Developer - Machine Learning Platform (MLops),on_site,"Ontario, Canada",2023-06-05T16:15:03.435Z,"
                                                                  -

                                                                  About Avidbots:

                                                                  -

                                                                  At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                                                                  Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                                                                  -

                                                                  Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                                                                  -

                                                                  -

                                                                  About the role:

                                                                  -

                                                                  The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                                                                  -

                                                                  You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                                                                  -

                                                                  -

                                                                  How you will make a difference:

                                                                  +

                                                                  Qualifications:

                                                                    -
                                                                  • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                                                                  • -
                                                                  • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                                                                  • -
                                                                  • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                                                                  • +
                                                                  • PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 2 - 6 years of experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets.
                                                                  • +
                                                                  • Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must.
                                                                  • +
                                                                  • Experience implementing high-quality and efficient product level code.
                                                                  • +
                                                                  • In depth knowledge of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods.
                                                                  • +
                                                                  • Proficient with programming languages (C++ and/or Python) in a distributed Linux environment
                                                                  • +
                                                                  • Experience with Machine learning / Deep learning (used in NGS context) is a plus.
                                                                  • +
                                                                  • Hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage
                                                                  • +
                                                                  • Strong written and verbal communication skills with ability to adjust to technical and non-technical audiences
                                                                  • +
                                                                  • Result-oriented individual that thrives in collaborative multi-disciplinary teams. Excels at incorporating feedback in a professional manner.
                                                                  • +
                                                                  • One or more first/co-first author publication(s) in a high-impact peer reviewed journals is highly desired.
                                                                  +

                                                                  Relocation assistance is not available for this role.

                                                                  -

                                                                  Required Skills & Experience:

                                                                  +

                                                                  Who we are

                                                                  +

                                                                  At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                  +

                                                                  Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                  +

                                                                  As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                  +

                                                                  Roche is an Equal Opportunity Employer.

                                                                  ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202305111825EXTERNALENGLOBAL/Principal-Scientist-II-Bioinformatics,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2023-08-19T16:20:00.000Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/249063922-principal-scientist-ii-bioinformatics-at-roche,,expired,2023-07-20T16:20:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,PhD,New Posting, +4f7fcf71-680e-4a47-ba55-78d8e4489afc,253593282,League,Data Engineer ,full,Canada,2023-07-31T17:46:55.507Z,"

                                                                  About League Founded in 2014, League is a platform technology company powering next-generation healthcare consumer experiences. Payers, providers, consumer health partners and employers build on League’s healthcare CX platform to deliver high-engagement, personalized healthcare experiences people love. League recently announced a $95 million funding round led by TDM Growth Partners, backer of breakthrough platforms Square, Twilio and Slack, bringing the total funding to $220 million. League is also among Deloitte’s Technology Fast 500, CB Insights’ Digital Health 150 and was named the Next Healthtech Unicorn by Accenture, among many other acknowledgements.

                                                                  +

                                                                  Position Summary:

                                                                  +

                                                                  As a Data Engineer, you will build personalized & data driven healthcare products and pipelines that power our business intelligence insights. You will help build and support a highly available, secure and governed data platform.

                                                                  +

                                                                  In this role, you will work as part of a small multi-disciplinary team to establish and evangelize a data driven culture. This team will not only work with the product team closely but will also support non-engineering functions like Marketing and Business Strategy.

                                                                  +

                                                                  To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value.

                                                                  +

                                                                  Our platform and applications run on Google Cloud. You will be working on building infrastructure for real-time and batch pipelines to ingest and transform data from a variety of sources. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production to shape the future of digital health!

                                                                  +

                                                                  +

                                                                  In this role you will:

                                                                    -
                                                                  • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                                                                  • -
                                                                  • 5+ years of professional software development experience (Python, C++ preferred)
                                                                  • -
                                                                  • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                                                                  • -
                                                                  • Hands-on experience designing scalable infrastructure for machine learning applications
                                                                  • -
                                                                  • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                                                                  • -
                                                                  • Knowledge of best practices in modern software development, such as git
                                                                  • -
                                                                  • Proficiency with Linux-based operating systems
                                                                  • +
                                                                  • Translate business needs into data and analytics requirements, with attention to details.
                                                                  • +
                                                                  • Utilize a variety of distributed computing platforms and tools to build scalable ETL / machine learning pipelines.
                                                                  • +
                                                                  • Analyze, tune, troubleshoot and support the data infrastructure ensuring the performance, integrity, and security of data.
                                                                  • +
                                                                  • Use sound agile development practices (testing and code reviewing, etc.) to develop and deliver data products.

                                                                  -

                                                                  Nice to Have:

                                                                  +

                                                                  About you:

                                                                    -
                                                                  • Experience with Robot Operating System (ROS)
                                                                  • -
                                                                  • Experience working with a global team
                                                                  • -
                                                                  -

                                                                  -

                                                                  Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                                                  -

                                                                  -

                                                                  Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                                                                  -

                                                                  -

                                                                  #INDAV

                                                                  -
                                                                  ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,49,https://talenthub.vectorinstitute.ai/jobs/232858621-software-developer-machine-learning-platform-mlops-at-avidbots,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -fe1a5f9e-0639-4127-9eb3-8d053e1f5966,236958273,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-06-17T02:12:03.668Z,"

                                                                  JOB DESCRIPTION

                                                                  -

                                                                  Applied ML Scientist, Health

                                                                  -

                                                                  POSITION OVERVIEW

                                                                  -

                                                                  As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

                                                                  -

                                                                  -

                                                                  RESPONSIBILITIES

                                                                  -
                                                                    -
                                                                  • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
                                                                  • -
                                                                  • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
                                                                  • -
                                                                  • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
                                                                  • -
                                                                  • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
                                                                  • -
                                                                  • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
                                                                  • -
                                                                  • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
                                                                  • -
                                                                  • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
                                                                  • -
                                                                  • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
                                                                  • -
                                                                  • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
                                                                  • -
                                                                  • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
                                                                  • -
                                                                  -

                                                                  -

                                                                  PROFILE OF IDEAL CANDIDATE

                                                                  -
                                                                    -
                                                                  • PhD degree in computer science or computer engineering with a research focus on machine learning required;
                                                                  • -
                                                                  • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
                                                                  • -
                                                                  • Demonstrated experience applying machine learning research to novel problems and data sets;
                                                                  • -
                                                                  • Experience with software engineering and/or data engineering is considered an asset;
                                                                  • -
                                                                  • Strong knowledge and experience of Python;
                                                                  • -
                                                                  • Experience with parameter and architecture tuning of deep learning algorithms;
                                                                  • -
                                                                  • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
                                                                  • -
                                                                  • Experience with recommendation systems is considered an asset.
                                                                  • -
                                                                  -

                                                                  -

                                                                  KEY SUCCESS MEASURES

                                                                  -
                                                                    -
                                                                  • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
                                                                  • -
                                                                  • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
                                                                  • -
                                                                  • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
                                                                  • +
                                                                  • Experience in a cloud Data Stack - preferably GCP.
                                                                  • +
                                                                  • Experience in coding in python and SQL.
                                                                  • +
                                                                  • Experience in orchestration tools like Airflow.
                                                                  • +
                                                                  • Experience in developing data pipelines.
                                                                  • +
                                                                  • Experience in implementing CICD, error handling and monitoring for scalable pipelines.
                                                                  • +
                                                                  • Experience in performing root cause analysis of production issues , performance tuning and optimization.
                                                                  -

                                                                  ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-11T02:17:02.751Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/236958273-applied-ml-scientist-health-lead-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -cdf11f7a-137a-4c96-a376-1b63c1058dab,243217468,Clearpath,Autonomy Developer - Perception,on_site,"Ontario, Canada",2023-07-05T02:18:06.529Z,"

                                                                  Description

                                                                  -

                                                                  Position: Autonomy Developer - Perception
                                                                  Location: Kitchener-Waterloo, Ontario
                                                                  Job Type: Full-Time Permanent
                                                                  Experience: 3+ Years Relevant Work or Academic Experience
                                                                  Education: Graduate Degree in Related Field
                                                                  Division: OTTO Motors

                                                                  -

                                                                  About OTTO™ Motors (Division of Clearpath Robotics)

                                                                  -

                                                                  OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                                                  -

                                                                  About the Job

                                                                  -

                                                                  We\'re looking for a driven, resourceful and motivated candidate for the Senior Perception Developer - Calibration and Sensors position. This person will take a leading role in the development of calibration and sensor algorithms for autonomous mobile robots.

                                                                  -

                                                                  The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Senior Perception Developer - Calibration and Sensors, you will develop and maintain algorithms and processes for the complete continuous calibration and monitoring of robotic systems. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators, as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                  -

                                                                  About You

                                                                  -

                                                                  For the role of Senior Perception Developer - Calibration and Sensors, we are seeking an experienced developer to develop, support, maintain, and extend robotic calibration solutions for real world applications.

                                                                  -

                                                                  Your primary responsibilities will be:

                                                                    -
                                                                  • Creating robust innovative solutions to the problems of robotic calibration and perception
                                                                  • -
                                                                  • Developing custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                                                                  • -
                                                                  • Evaluating new sensing technology and robotic platforms
                                                                  • -
                                                                  • Working with production and hardware teams to develop processes for sensor calibration methods
                                                                  • -
                                                                  • Supporting the deployment and testing of robotic systems
                                                                  • +
                                                                  • Experience in building real time streaming data pipelines with tools like Dataflow
                                                                  • +
                                                                  • Experience in supporting reporting tools as a platform eg- Looker, Tableau.
                                                                  • +
                                                                  • Experience in data modeling, data governance and data discovery tools.
                                                                  • +
                                                                  • Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR.
                                                                  +

                                                                  +

                                                                  Security Related Responsibilities:

                                                                    -
                                                                  • Collaborating with various internal teams, as well as academic and industrial partners
                                                                  • -
                                                                  • Staying up to the date with the latest developments from academia and industry
                                                                  • +
                                                                  • Responsibility and accountability for executing League's policies and procedures
                                                                  • +
                                                                  • Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
                                                                  • +
                                                                  • Compliance with Information Security Policies
                                                                  -

                                                                  Skills and experience:

                                                                  +

                                                                  All Authorities are limited to the extent set out in the Authorization Policy

                                                                  +

                                                                  #LI-REMOTE

                                                                  +

                                                                  USA APPLICANTS ONLY: The US-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all US locations. Where in the band you may land is determined by job-related skills/experience and location. Your recruiter can share more about the specific salary range for your location during the hiring process.Compensation range for USA applicants only$122,000—$183,000 USDAt League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                  Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

                                                                    -
                                                                  • Graduate degree in engineering/CS or a related field, with applicable background.
                                                                  • -
                                                                  • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration.
                                                                  • -
                                                                  • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models.
                                                                  • -
                                                                  • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                                                                  • -
                                                                  • Strong software development skills in modern C++.
                                                                  • -
                                                                  • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                  • -
                                                                  • Hands-on experience with real world autonomous systems.
                                                                  • +
                                                                  • You should receive a confirmation email after submitting your application.
                                                                  • +
                                                                  • A recruiter (not a computer) reviews all applications at League.
                                                                  • +
                                                                  • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                                  • +
                                                                  • The final step is an offer, which we hope you will accept!
                                                                  • +
                                                                  • Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
                                                                  -

                                                                  Bonus points for:

                                                                  +

                                                                  Here are some additional resources to learn more about League:

                                                                  -

                                                                  Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                  ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/243217468-autonomy-developer-perception-at-clearpath,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -542dd3c5-3fea-4506-8ad3-02863a3924b2,257593932,TELUS,Data Quality Lead (Collibra),on_site,"Ontario, Canada",2023-08-10T02:18:04.865Z,"
                                                                  +

                                                                  Recognize and Avoid Employment scams. Practice safe job searching.

                                                                  +

                                                                  Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

                                                                  ",,https://boards.greenhouse.io/leagueinc/jobs/4937347004,aitalent@vectorinstitute.ai,https://league.com/ca/careers-at-league/,,,2023-08-21T19:53:00.000Z,False,0,23,113,https://talenthub.vectorinstitute.ai/jobs/253593282-data-engineer-at-league,,expired,2023-07-31T17:46:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, +c28cd447-e888-4ef0-b500-28ea353c90b7,271212834,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-18T02:25:02.981Z,"

                                                                  Description

                                                                  -

                                                                  Join our team & what we’ll accomplish together

                                                                  +

                                                                  Our team and what we’ll accomplish together

                                                                  -

                                                                  The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high-quality data. We have a data-product and data platform-oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

                                                                  +

                                                                  Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                                                                  -

                                                                  We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

                                                                  +

                                                                  You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                                                                  -

                                                                  As a Trusted advisor for Data Quality Management, you’ll contribute to the adoption and advancement of TELUS’ Data Management and Data Quality Program, you will also contribute to the advancement of TELUS’ Data Quality platform maturity and adoption.

                                                                  +

                                                                  As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next-generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high-quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                                                                  -

                                                                  As a Subject Matter Expert in Data Management, you collaborate with various business units and demonstrate thought leadership when sitting at the intersection between business value, technology and data to ensure TELUS’ data quality platform provides a high usability platform for all data quality needs at TELUS. Growth mindset is the must for this role as we are lean and extremely adaptable team that supports all aspects of Center of Excellence practice.

                                                                  -
                                                                  -
                                                                  -
                                                                  -

                                                                  What you will do

                                                                  -
                                                                  +

                                                                  You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                                                                  +

                                                                  +

                                                                  What you’ll do

                                                                    -
                                                                  • Establish product strategic goals and short, mid and long-term roadmap
                                                                  • -
                                                                  • Define and document what to solve first, articulate the valuable market/user problem to be addressed along with priorities and justification for each part of the solution
                                                                  • -
                                                                  • Gathers, manages, and prioritizes market/customer requirements
                                                                  • -
                                                                  • Acts as the user advocate articulating the end user’s needs
                                                                  • -
                                                                  • Work closely with engineers, architects, program managers and platform support to ensure business case, yearly targets and user satisfaction goals are met
                                                                  • -
                                                                  • Ensure that the product supports the company’s overall strategy and goals
                                                                  • -
                                                                  • Empower rapidly growing TELUS Enterprise Data Quality Management Practice user community
                                                                  • -
                                                                  • Enrich user experience for all types of users
                                                                  • -
                                                                  • In alignment with the program goals and objectives, define and drive user adoption processes by meaningful interactions and consistent application of advanced branding, marketing and communication techniques and skills to drive user engagement
                                                                  • -
                                                                  • Support and be attentive to users needs and concerns in a timely manner, alleviate user concerns in a positive manner in alignment with program vision and approach
                                                                  • -
                                                                  • Actively monitor data quality maturity trending and initiate appropriate corrective actions with responsible users and stakeholders
                                                                  • -
                                                                  • Nurture and grow user community by preparing, facilitating, coordinating and running community of practice forums; capture, manage and follow up on all action items raised; communicate outcomes as needed
                                                                  • -
                                                                  • Lead/support Collibra Data Quality Platform user training and onboarding activities for all existing and future platform components and capabilities
                                                                  • -
                                                                  • Maintain existing and development new training materials
                                                                  • -
                                                                  • Advocate for Data management and governance practice
                                                                  • -
                                                                  • Keep informed and apply data management and governance best practices
                                                                  • +
                                                                  • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                                                                  • +
                                                                  • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                                                                  • +
                                                                  • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                                                                  • +
                                                                  • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                                                                  • +
                                                                  • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                                                                  • +
                                                                  • Implement automation and monitoring tools through a test-driven approach and mindset
                                                                  • +
                                                                  • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy

                                                                  -

                                                                  +

                                                                  #DSEjobs

                                                                  Qualifications

                                                                  -

                                                                  What you will bring

                                                                  +

                                                                  What you bring

                                                                    -
                                                                  • Expert level of understanding and demonstrable working knowledge of Collibra Data Quality platform
                                                                  • -
                                                                  • Subject matter expertise in CDQr product,including specific industry and technical knowledge
                                                                  • -
                                                                  • Expert level of understanding and demonstrable knowledge of Data Quality Management practices
                                                                  • -
                                                                  • Expert level of understanding and demonstrable knowledge of strategy and product management
                                                                  • -
                                                                  • Expert level of understanding and demonstrable knowledge of Data Governance practices
                                                                  • -
                                                                  • Strong communication & problem solving skills
                                                                  • -
                                                                  • Strong understanding of Data Management Lifecycle
                                                                  • -
                                                                  • Strong understanding of Data Lifecycle and what DQM activities are applied at each stage
                                                                  • -
                                                                  • Working knowledge with database technologies, systems , reporting tools and APIs
                                                                  • -
                                                                  • Ability to influence cross-functional teams without formal authority
                                                                  • -
                                                                  • Ability to work with Communication platforms used (gSuite, web pages, Collibra dashboards, …) hands on design and development required
                                                                  • -
                                                                  • Project management skills in order to administer, schedule, manage meeting agendas/ reviews/ MoM/communication and groups of stakeholders
                                                                  • -
                                                                  • Working knowledge of Data Management practices as per DAMA International BOK framework
                                                                  • +
                                                                  • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                                                  • +
                                                                  • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
                                                                  • +
                                                                  • An expert understanding of data warehouses/cloud architectures and ETL processes
                                                                  • +
                                                                  • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                                                  • +
                                                                  • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                                                                  • +
                                                                  • Experience with Python and software engineering best practices
                                                                  • +
                                                                  • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                                                                  • +
                                                                  • Experience with data pipeline and workflow management tools such as Airflow
                                                                  • +
                                                                  • Experience with Github and CICD processes
                                                                  • +
                                                                  • Having a proven track record in leading data analytics platform projects
                                                                  • +
                                                                  • Ready to work in new and challenging work environments
                                                                  • +
                                                                  • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                                                  • +
                                                                  • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                                                  • +
                                                                  • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                                                  • +
                                                                  • Working in cross-functional teams with exemplary communication and coordination skills
                                                                  • +
                                                                  • Proving your analytical skills with root cause analysis of issues
                                                                  • +
                                                                  • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
                                                                  • +
                                                                  • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes

                                                                  -

                                                                  Great-to-Haves

                                                                  +

                                                                  Great-to-haves

                                                                    -
                                                                  • University degree in computer science and/or 5 years of working experience in Information Management
                                                                  • -
                                                                  • Collibra University Certification
                                                                  • -
                                                                  • Knowledge of Collibra Data Intelligence Cloud Technology
                                                                  • -
                                                                  • Demonstrable DAMA international BOK Framework knowledge and/or application
                                                                  • -
                                                                  • PMP certification
                                                                  • -
                                                                  • Fluency in speaking, reading and writing French
                                                                  • +
                                                                  • Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                                                  • +
                                                                  • Machine learning and data science knowledge
                                                                  • +
                                                                  • Experience with Java in Cloud
                                                                  • +
                                                                  +

                                                                  +

                                                                  #DESjobs

                                                                  +
                                                                  +
                                                                  +
                                                                  ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/571425217/,feed-importer@jobboard.io,,,,2023-10-19T00:50:25.074Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/271212834-senior-data-engineer-at-telus,,expired,2023-09-18T02:25:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +ef9fd574-5237-427e-abaa-f01ec96f9842,293589245,Scotiabank,"Senior Manager, Portfolio Analytics & Reporting (Automotive)",on_site,Canada : Ontario : Toronto,2023-12-07T16:25:02.882Z,"

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Requisition ID: 189674

                                                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                  +

                                                                  +

                                                                  Purpose of Job:

                                                                  +

                                                                  +

                                                                  The mandate of this role is to oversee the Portfolio Risk Analytics & Reporting for the Automotive Lending portfolio to optimize risk/return within Global Risk Management to assist Canadian Banking judicious priorities. In this role, the incumbent will develop and monitor key performance indicators of the automotive portfolio scrutinized through different lenses to maximize risk adjusted return while managing portfolio PCL.

                                                                  +

                                                                  +

                                                                  The incumbent will provide the team along with business line partners advanced data assessment, monitoring and measurement on the health of the Automotive portfolio to ensure strategies and policies are within the Risk Appetite Framework.

                                                                  +

                                                                  +

                                                                  This position plays a key role by using data, systems, research and analysis to identify portfolio trends, risk and opportunities across Automotive lending portfolios (Prime, Lease and SDA) by setting prudent risk controls and applicable tactics.

                                                                  +

                                                                  +

                                                                  The Senior Manager will proactively contribute to portfolio risk oversight by delivering comprehensive analytics that measure customer performance across multiple dimensions. The role is highly technical and requires expert SAS/Python, data analytics and BI tools skills.

                                                                  +

                                                                  +

                                                                  Job Responsibilities:

                                                                  +

                                                                  +

                                                                  1. Portfolio Analytics and Reporting

                                                                  +
                                                                  • Use a variety of Business Intelligence analytical and reporting tools (i.e., SAS, Python, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize workstream through automation.
                                                                  • Maintain performance monitoring on new accounts acquired through different channels and special programs; ensure performance align with targets, explain discrepancies/ emerging trends that may impact portfolio health (short term and long term).
                                                                  • Assess strategy effectiveness and proactively identify if any risk segments are or will impact provisioning estimates as vintages mature.
                                                                  • Respond to adhoc requests from executives and key stakeholders with a sense of urgency. Perform required data pulls, collect and formalize to answer questions. Prioritization and working on more than one request at a time is often required.
                                                                  • Provide applicable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing vast amounts of data into coherent messages.
                                                                  • Identify opportunities and propose innovative risk strategies with focus on risk/return, asset-based lending with building a robust and competitive portfolio in mind.
                                                                  • Prepare/update/review portfolio monitoring decks and executive reports and ensure reporting accuracy with appropriate narration & commentary.
                                                                  • Review and conduct analysis of existing policy and procedures to identify, promote and lead opportunities to maintain credit quality, improve efficiency and effectiveness of originations procedures including streamlining, automating, and standardization; recommend changes to enhance performance and overall customer experience.
                                                                  • +
                                                                  +

                                                                  +

                                                                  2. Compliance, Governance and Regulatory

                                                                  +
                                                                  • Assist investigations and solutioning for questions/findings from OSFI, Internal Audit, Policy Adherence & Effectiveness (PAE) and ACE with appropriate data/reports including preparation of Audit/OSFI closure package in an appropriate /acceptable timeframe.
                                                                  • Liaise with the Fraud Department, Corporate Security and Collections to prepare Automotive portfolio specific First Party Credit Fraud, Credit Abuse Fraud and Synthetic ID Fraud monitoring KRI’s and reports to identify and regularly report on high-risk accounts.
                                                                  • +
                                                                  +

                                                                  +

                                                                  3. Automotive Financing Competitive Landscape

                                                                  +
                                                                  • Stay informed of competitive landscape, partnering with the business line to ensure that as risk managers our processes, strategies and policies consider the changing landscape.
                                                                  • Develop and maintain relationships with external business partners (e.g., Credit bureaus and dealer portals) and similar position contacts in other financial institutions.
                                                                  • +
                                                                  +

                                                                  +

                                                                  4. Assist Business Line Initiatives/projects

                                                                  +
                                                                  • Ensure all business line judicious projects (i.e., new product launches, changes to existing product offerings, new channels, cross-functional projects, new acquisition framework, policy change initiatives) are consistent with Risk Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned.
                                                                  • Represent Risk's point of view and liaise with the stakeholders (operations, product owners, collections, technology, governance) throughout the organization to listen actively, socialize, and explain risk measures clearly and as appropriate identify, evaluate, and address credit risk that arises from the development, deployment, interpretation, and maintenance of Credit Risk Policy in assist of new products/program development, portfolio performance issues, product enhancements, changes to the industry and regulatory landscape, and business operations.
                                                                  • Assist GRM effective challenge function, ensure Credit Risk Proposals are assisted with strong financial and quantitative analysis, credit risks are effectively assessed and measured. Conduct in-depth analysis on special programs, and assist policy enhancement.
                                                                  • Prepare and assess credit risk proposals and providing Senior Management with sound recommendations for changes to core policies, regulations and major business initiatives and portfolio level decisions that require GRM’s authorization. This includes assessment of new program/product, new pilots or pilot extension or program renewals, etc.
                                                                  • +
                                                                  +

                                                                  +

                                                                  Job Requirements:

                                                                  +

                                                                  +
                                                                  • A minimum of five years with an organization focused on improving the customer experience and automating processes, with a successful track record using analytical tools to conduct data analysis and generate business insights.
                                                                  • Proficiency in programming and/or database programs (SAS, JAVA, SQL, R, Hadoop, Python).
                                                                  • Project management and leadership skills to prioritize manage and implement a variety of contesting initiatives, on a concurrent or staggered basis.
                                                                  • Excellent communication and written skills complemented with analytical & problem-solving skills consistent with the ability to identify key issues from a broad range of alternatives as well as recommend optimal solutions for various situations.
                                                                  • Knowledge of credit scoring and risk assessment as well as portfolio management, risk analytics and collections to maximize the effectiveness of existing technology in providing competitive and effective solutions that respond to the credit needs of our customers.
                                                                  • Prior experience in a retail lending environment or credit risk management is preferred.
                                                                  • Must have a University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a Master degree in business, statistics, economics, mathematics, management sciences or analytics

                                                                  +

                                                                  Location(s): Canada : Ontario : Toronto

                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                  ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Portfolio-Analytics-&-Reporting-%28Automotive%29-ON-M5H1B6/576389917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-12-18T16:31:04.223Z,False,0,1,55,https://talenthub.vectorinstitute.ai/jobs/293589245-senior-manager-portfolio-analytics-reporting-automotive-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Portfolio-Analytics-&-Reporting-%28Automotive%29-ON-M5H1B6/576389917/,expired,2023-12-07T16:25:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +4ffdc0de-cd64-4c52-b6a4-a26d1d836da2,288385991,TD Bank Group,"Manager, Analytics & Insights",on_site,"Markham, ON",2023-11-16T16:25:02.381Z,"
                                                                  +

                                                                  Hours

                                                                  +
                                                                  37.5
                                                                  +

                                                                  +

                                                                  Workplace Model

                                                                  +
                                                                  Hybrid
                                                                  +

                                                                  +

                                                                  Pay Details

                                                                  +

                                                                  We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                  +

                                                                  +

                                                                  Department Overview

                                                                  +

                                                                  The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                                  The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment

                                                                  +

                                                                  +

                                                                  Job Details

                                                                  +
                                                                  +

                                                                  About this Role

                                                                  +

                                                                  As the most senior technical individual contributor within Canadian Performance Management, you will be responsible for leading complex initiatives, assisting with projects and being the trusted fraud SME. You will work across fraud portfolios, interact with vendors and partners across Enterprise Protect and beyond. You will provide required coverage and support to assist or lead incidents, represent fraud at forums, and will assist with urgent escalations. With deep analytics and fraud experience you would provide consultation support and take part in ideation and solutioning of fraud problems.

                                                                  +

                                                                  Fraud Loss Management

                                                                  +
                                                                    +
                                                                  • Leads or consults in ideation and solutioning of immediate threats as well as proactive mitigation of more complex strategies
                                                                  • +
                                                                  • Reviews fraud attacks to understand and address coverage gaps across fraud portfolios
                                                                  • +
                                                                  • Leads defect analysis to identify and remediate coverage gaps across fraud portfolios
                                                                  • +
                                                                  • Provides insights and support decision-making at the executive level
                                                                  • +
                                                                  • Uncovers and resolves process gaps throughout the bank, helping inform the departmental priorities
                                                                  • +
                                                                  • Helps assist with urgent emerging threats
                                                                  • +
                                                                  +

                                                                  Partner Support

                                                                  +
                                                                    +
                                                                  • Supports project intent and ongoing partner projects, leveraging fraud expertise to help develop resilient products and processes
                                                                  • +
                                                                  • Ensures fraud requirements were reliably delivered within project IT releases across the bank
                                                                  • +
                                                                  +

                                                                  +

                                                                  Job Requirements

                                                                  +
                                                                  +What can you bring to TD?

                                                                  +

                                                                  Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                                                  +
                                                                    +
                                                                  • Undergraduate degree or technical certificate
                                                                  • +
                                                                  • Seven (7) or more years relevant experience
                                                                  • +
                                                                  • Ability to effectively manage competing priorities in a fast-paced environment
                                                                  • +
                                                                  • Detail oriented, tech-savvy, and proficient working with big data
                                                                  • +
                                                                  • Undergraduate degree, preferably from a STEM program
                                                                  • +
                                                                  • 4+ years’ experience in an analytical capacity
                                                                  • +
                                                                  • Ability to quickly and independently structure and deliver on new problems not previously tackled by the bank
                                                                  • +
                                                                  • Demonstrated analytical, modeling and problem solving skills
                                                                  • +
                                                                  • Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                  • +
                                                                  • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                  • +
                                                                  • Ability to take initiative and work independently under tight timelines
                                                                  • +
                                                                  • Ability to work collaboratively and build relationships
                                                                  • +
                                                                  • Strong interpersonal and leadership skills and comfort in interacting with all levels of management
                                                                  • +
                                                                  • Advanced in Python and SQL and possesses working knowledge in PySpark for data analysis and/or reporting
                                                                  • +
                                                                  • Demonstrated experience with various fraud engines (e.g., TSYS CardGuard, ADS, Cardinal and VRM)
                                                                  • +
                                                                  -
                                                                  ",,https://careers.telus.com/job/Toronto-Data-Quality-Lead-%28Collibra%29-ON/572847917/,feed-importer@jobboard.io,,,,2023-09-09T20:24:29.854Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/257593932-data-quality-lead-collibra-at-telus,,expired,2023-08-10T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -cdf6676f-de0c-48cc-8e7c-a1e8be3e562c,257990007,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-08-11T01:42:06.001Z,"
                                                                  +

                                                                  +

                                                                  Company Overview

                                                                  +
                                                                  +Our Values
                                                                  At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                  +

                                                                  Making Your Well-being a Priority
                                                                  A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                  +

                                                                  Our Total Rewards Package
                                                                  Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                  +

                                                                  How We Work
                                                                  At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                  +

                                                                  Who We Are
                                                                  TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                  TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                  +
                                                                  +

                                                                  +

                                                                  Inclusiveness

                                                                  +
                                                                  +Our Commitment to Diversity, Equity, and Inclusion
                                                                  At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                  +

                                                                  Accommodation
                                                                  Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                  +

                                                                  How We’re Helping Make an Impact in Communities
                                                                  TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                  +

                                                                  We look forward to hearing from you!

                                                                  +
                                                                  +

                                                                  +
                                                                  ",,https://jobs.td.com/en-CA/jobs/19452113/manager-analytics-insights-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-12-16T18:57:33.273Z,False,0,5,123,https://talenthub.vectorinstitute.ai/jobs/288385991-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19452113/manager-analytics-insights-markham-ca/,expired,2023-11-16T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b3c9de1f-e165-4bba-9050-e67a1801e671,249138607,CIBC,Senior Data Scientist,on_site,"Ontario, Canada",2023-07-21T01:41:05.155Z,"
                                                                  +

                                                                  We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                  +

                                                                  +

                                                                  At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                  +

                                                                  +

                                                                  To learn more about CIBC, please visit CIBC.com

                                                                  +

                                                                  +

                                                                  Job Description

                                                                  +

                                                                  +

                                                                  What you’ll be doing

                                                                  +

                                                                  +

                                                                  The Decision Science team is a central hub of data science expertise within Personal and Business Banking, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms to truly revolutionize personalization to drive client experience. The Senior Data Scientist ensures that sound analytical methods and processes are followed and predictive models are built on sound data samples. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve a wide range of challenging business problems and bring innovative solutions. This position pro-actively contributes to the portfolio management function in the area of model design, model building, model governance and model performance monitoring and other analysis to help optimize the effectiveness and profitability of projects, marketing campaigns, pricing, optimization, contracts and other business decisions across our products. You’ll interact with groups across the organization from Products, Segments, Marketing to Channels and Risk. You will work with structured and unstructured data to produce end-to-end solutions, taking models from experiment to deployment.

                                                                  +

                                                                  +

                                                                  At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                  +

                                                                  +

                                                                  How you’ll succeed

                                                                  +
                                                                    +
                                                                  • +Data Science Expertise: Provide advanced analytics solutions to solve business problems by leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                                                  • +
                                                                  • +Modeler: Participate in model development by conducting detailed quantitative analysis work to support the model development. Support deploying statistics and machine learning models in development and production environments. Work closely with other senior modelers to facilitate effective dissemination of model related documents and model governance and model performance to business partners.
                                                                  • +
                                                                  • +Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                                                  • +
                                                                  • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                                                  • +
                                                                  +

                                                                  +

                                                                  Who you are

                                                                  +
                                                                    +
                                                                  • +You can demonstrate experience in working with large multivariate datasets including both structured and unstructured data and related tools (e.g., SQL, Spark). Must have experience coding in high level programming languages such as SAS, R or Python. Must have experience coding with data modelling packages in SAS EG and Enterprise Miner. Experience with MS Office and Tableau is an asset.
                                                                  • +
                                                                  • +You’re a certified professional. You have current accreditation and a Masters or PhD in Computer Science, Engineering, Mathematics, Statistics, Machine Learning, Operational Research, Physics, Economics or related quantitative field.
                                                                  • +
                                                                  • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                                                  • +
                                                                  • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                                  • +
                                                                  • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                                                  • +
                                                                  • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                                                  • +
                                                                  +

                                                                  +

                                                                  What CIBC Offers

                                                                  +

                                                                  +

                                                                  What CIBC offers

                                                                  +

                                                                  At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                  +

                                                                  +
                                                                    +
                                                                  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                                                  • +
                                                                  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                                                  • +
                                                                  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                                                  • +
                                                                  +

                                                                  +

                                                                  What you need to know

                                                                  +
                                                                    +
                                                                  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                  • +
                                                                  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                  • +
                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  +

                                                                  Job Location

                                                                  Toronto-81 Bay, 25th Floor

                                                                  Employment Type

                                                                  Regular

                                                                  +

                                                                  Weekly Hours

                                                                  37.5

                                                                  Skills

                                                                  +

                                                                  Big Data, Business Problems, Data Modeling, Machine Learning, Predictive Modeling, Python (Programming Language)
                                                                  ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist_2311260-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-08-03T19:52:00.000Z,False,0,10,22,https://talenthub.vectorinstitute.ai/jobs/249138607-senior-data-scientist-at-cibc,,expired,2023-07-21T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +8eb5fb65-a683-4697-8e4d-9f1e4b88f235,242027109,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-07-02T01:42:01.837Z,"

                                                                  Address:

                                                                  100 King Street West

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  @@ -63231,404 +63667,495 @@ cdf6676f-de0c-48cc-8e7c-a1e8be3e562c,257990007,BMO Financial Group,"Manager, Mod

                                                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-09-13T16:38:55.347Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/257990007-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-08-11T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -483eb9b2-84bb-4220-bbed-49897833e88a,277013495,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-10-05T12:19:01.631Z,"
                                                                  -

                                                                  Application Deadline:

                                                                  10/12/2023

                                                                  -

                                                                  -

                                                                  Address:

                                                                  100 King Street West

                                                                  -

                                                                  -

                                                                  Job Family Group:

                                                                  Data Analytics & Reporting

                                                                  -

                                                                  -

                                                                  The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                                                                  -

                                                                  -

                                                                  The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the pro

                                                                  -
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-16T12:24:01.916Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/277013495-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-10-05T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -a5b87977-3985-403c-8516-732c07c6b401,277019769,Sun Life Financial,"Product Owner, Data Enablement",on_site,"Ontario, Canada",2023-10-05T12:28:03.064Z,"
                                                                  -

                                                                  You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                  -

                                                                  -

                                                                  -

                                                                  Job Description:

                                                                  -

                                                                  This is an 18-month contract position.

                                                                  -

                                                                  -

                                                                  We are looking for a bright, energetic, and ambitious individual to join our Data Engineering Team.

                                                                  -

                                                                  This is a fantastic opportunity to work with amazing teams and help them achieve their vision to deliver actionable information from data to enable business outcomes.

                                                                  -

                                                                  You will work with business stakeholders, IT, data science, and data engineering teams to develop a vision of what they want to achieve and the strategy and plans to get there, while at the same time working with cutting edge data technologies.

                                                                  -

                                                                  Your experience as a Product Owner means translating and prioritizing business needs to user stories and roadmaps. Your ultimate job is to ensure value comes out of your data product. You will take responsibility for the business success in terms of their dealings with your data product(s).

                                                                  -

                                                                  You are a passionate advocate for your stakeholders and will drive the deliverables to completion. Once completed, you will be responsible for data governance practices within your products, including metadata documentation and data quality, as well as facilitating resolution of those data issues. Your balance between technical and business knowledge and soft skills will be Key.

                                                                  -

                                                                  -

                                                                  What will you do?

                                                                  +
                                                                  ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-03T14:37:10.819Z,False,0,6,35,https://talenthub.vectorinstitute.ai/jobs/242027109-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-07-02T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +9974061a-cfe3-4e06-b4ea-25511c353059,243217471,Clearpath,Perception Team Lead - Localization and Mapping,on_site,"Ontario, Canada",2023-07-05T02:18:07.023Z,"

                                                                  Description

                                                                  +

                                                                  Position: Perception Team Lead - Localization and Mapping
                                                                  Location: Kitchener, Ontario
                                                                  Job Type: Full-Time Permanent
                                                                  Experience: 5-10 Years Relevant Work Experience
                                                                  Education: Graduate Degree in a related field
                                                                  Division: OTTO Motors

                                                                  +


                                                                  About OTTO Motors, a division of Clearpath Robotics

                                                                  +

                                                                  At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                  +

                                                                  About the Job

                                                                  +

                                                                  We\'re looking for a driven, resourceful, motivated candidate for the Perception Team Lead position. This person will lead a team of developers to create and maintain the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                  +

                                                                  The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                  +

                                                                  About You

                                                                  +

                                                                  For the role of Perception Team Lead we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                  +

                                                                  Your primary responsibilities will be:

                                                                  +
                                                                    +
                                                                  • Lead a team of exceptional perception developers to create robust innovative solutions to the problems of robotic perception
                                                                  • +
                                                                  • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                  • +
                                                                  • Evaluation of new algorithms and sensing technology
                                                                  • +
                                                                  • Assisting with concept development for new products and projects
                                                                  • +
                                                                  • Supporting deployment and testing of robotic systems
                                                                  • +
                                                                  • Supervising and mentoring team members
                                                                  • +
                                                                    -
                                                                  • Develop a deep understanding of stakeholders’ business needs and outcomes
                                                                  • -
                                                                  • Work in collaboration with Business, IT, Data Engineering, and Data Science teams to design and deliver products that provide business value and drive downstream efficiencies
                                                                  • -
                                                                  • Gather requirements and document them as user stories, epics, and themes
                                                                  • -
                                                                  • Maintain a prioritized backlog
                                                                  • -
                                                                  • Provide ongoing support to stakeholders and users of the data products
                                                                  • -
                                                                  • Accountable for end-to-end delivery of the product, in partnership with IT
                                                                  • -
                                                                  • Work in collaboration with the Director to develop and execute on long term roadmaps
                                                                  • -
                                                                  • Monitor ongoing use of the data products to help direct future investment decisions
                                                                  • -
                                                                  • Maintain metadata and data dictionaries
                                                                  • -
                                                                  • Resolve conflicts and find compromises
                                                                  • -
                                                                  • Ensure data quality and facilitate issue resolutions
                                                                  • -
                                                                  • Assist in developing business case justification for product development, creating budget requests and managing funding allocations for the data product(s)
                                                                  • -
                                                                  • Partner with ES and Architecture to evaluate solution and design options
                                                                  • -
                                                                  • Acts as the go-to Subject Matter Expert for the data product(s), partnering with other SMEs in the business stakeholders, IT and Data Engineering teams to ensure coverage of expertise across the domain(s).
                                                                  • +
                                                                  • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                  • +
                                                                  • Stay up to the date with the latest developments from academia and industry
                                                                  -

                                                                  -

                                                                  What do you need to succeed?

                                                                  +

                                                                  Skills and experience:

                                                                    -
                                                                  • Proven experience with product leadership, ownership, and development in data and technology; including planning, execution and coordination of delivery activities across multiple teams and stakeholders
                                                                  • -
                                                                  • 3+ years as a Product Owner in Agile environment
                                                                  • -
                                                                  • Self-started with Owners Mindset
                                                                  • -
                                                                  • Excellent communication and influence skills while working with diverse stakeholders; ability to interact with multiple levels of management across business, IT, and Data Engineering
                                                                  • -
                                                                  • Ability to translate business needs and processes to requirements and technology direction
                                                                  • -
                                                                  • Demonstrated ability to assess business needs and conceptualize a vision for the product with the added ability to develop a product strategy and roadmap. Ability to communicate a shared vision and establish buy-in.
                                                                  • -
                                                                  • Experience with preparing cost estimates, presenting budget requests and managing to a budget.
                                                                  • -
                                                                  • Outstanding problem-solving skills and ability to facilitate problem identification, resolution and escalation across multiple business and technology disciplines.
                                                                  • -
                                                                  • High business acumen
                                                                  • +
                                                                  • Graduate degree in engineering/CS or a related field
                                                                  • +
                                                                  • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, or sensor modeling.
                                                                  • +
                                                                  • Strong software development skills in modern C++
                                                                  • +
                                                                  • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                  • +
                                                                  • Excellent leadership, teamwork, and communication skills
                                                                  • +
                                                                  • Ability to independently develop software development plans, including scope, timelines, resource estimates, and test procedures.
                                                                  • +
                                                                  +

                                                                  Bonus points for:

                                                                  +
                                                                    +
                                                                  • Hands-on experience with real world autonomous systems
                                                                  • +
                                                                  • Experience with leading software development teams.
                                                                  • +
                                                                  • Experience writing efficient, high performance code
                                                                  • +
                                                                  • ROS, Gazebo, OpenCV and PCL experience
                                                                  • +
                                                                  • Familiarity with graph optimization techniques and libraries
                                                                  • +
                                                                  • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                  +

                                                                  Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                  ",,http://jobs.jobvite.com/clearpath/job/oWdumfwJ,feed-importer@jobboard.io,,,,2023-08-05T17:29:00.000Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/243217471-perception-team-lead-localization-and-mapping-at-clearpath,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Team Lead,Masters Degree,New Posting, +9fcc2528-346c-4258-b3c6-143876ec06da,257593942,Avidbots,Software System Test Specialist (6 month contract),on_site,"Ontario, Canada",2023-08-10T02:18:05.621Z,"
                                                                  +

                                                                  This role will join the Software QA team at Avidbots. The QA team\'s goal is to ensure that each software release ships with the highest quality code that will work to our customer\'s complete satisfaction. We have set the bar high and expect to meet or exceed it with every release working on the cutting edge of robotics.

                                                                  -

                                                                  What will be nice to have?

                                                                  +

                                                                  This is a 6-month contract position

                                                                  +

                                                                  +

                                                                  Day-to-Day Activities

                                                                  +
                                                                      -
                                                                    • BS in Computer Science, Computer Programming, Informatics or equivalent
                                                                    • -
                                                                    • Insurance and/or Wealth Data Domain Product Experience
                                                                    • -
                                                                    • Knowledge of AWS and Database technologies
                                                                    • -
                                                                    • Familiarity with Data Science, including modeling
                                                                    • -
                                                                    • Familiarity with Data Engineering concepts such as ETL
                                                                    • -
                                                                    • Data Storyteller
                                                                    • -
                                                                    • Experience with managing multi-year roadmaps and business cases
                                                                    • -
                                                                    • Agile certification
                                                                    • +
                                                                    • Collaborate with software development and other cross-functional teams to understand requirements and define comprehensive test plans
                                                                    • +
                                                                    • Develop and implement an SQA strategy for robot software, including functional, performance, and safety testing
                                                                    • +
                                                                    • Identify, develop, and prioritize well written test cases based on risk analysis, business requirements, and end-user needs
                                                                    • +
                                                                    • Perform hands-on functional, system, performance, stress and regression testing on new and existing robot models, both in-house and in customer environments
                                                                    • +
                                                                    • Monitor, analyze, and report on test results, identifying and documenting defects and anomalies using appropriate data, analysis and summary documentation
                                                                    • +
                                                                    • Work closely with developers to reproduce, investigate, and resolve reported issues
                                                                    • +
                                                                    +

                                                                    +
                                                                      +

                                                                      Requirements

                                                                      +
                                                                        +
                                                                          +
                                                                        • BEng/BSc in Software Engineering, Computer Science, Mechatronics, or a related field
                                                                        • +
                                                                        • Proven experience as a Software QA Engineer, with a focus on testing robotics or complex systems
                                                                        • +
                                                                        • Strong understanding of software testing methodologies, tools, and practices
                                                                        • +
                                                                        • Excellent verbal and written communication skills with peers and superiors, and a strong teamwork ethic
                                                                        • +
                                                                        • Strong Linux knowledge (CLI, scripting)
                                                                        • +
                                                                        • Creative, motivated self-starter; you get things done with a passion and continuously raising the quality bar
                                                                        • +
                                                                        • Accommodate flexible 8 hour shift schedules that can start at 6 am during peak delivery deadlines

                                                                        -

                                                                        What’s in it for you?

                                                                        +

                                                                        Nice to Haves

                                                                        +
                                                                            -
                                                                          • Great Place to Work® Certified in Canada and the US - 2022
                                                                          • -
                                                                          • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                          • -
                                                                          • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                          • -
                                                                          • Canada Award for Excellence for Mental Health at Work
                                                                          • -
                                                                          • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.
                                                                          • +
                                                                          • Experience with Robot Operating System (ROS)
                                                                          • +
                                                                          • Previous work with Jenkins, Jira, Git and Bitbucket
                                                                          • +
                                                                          • Working knowledge of Python, JavaScript, Selenium and Cypress

                                                                          -

                                                                          #LI-Hybrid #LI-remote

                                                                          +

                                                                          About Avidbots

                                                                          +

                                                                          At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

                                                                          +

                                                                          Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                                                                          -

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          +

                                                                          Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

                                                                          -

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          +

                                                                          Check Neo out!

                                                                          -

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          +

                                                                          ***Applicants must be currently authorized to work in Canada for any employer

                                                                          -

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

                                                                          +


                                                                          Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                                                                          -

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          #INDAV

                                                                          +
                                                                          ",,https://avidbots.bamboohr.com/careers/702,feed-importer@jobboard.io,,,,2023-08-14T18:18:00.000Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/257593942-software-system-test-specialist-6-month-contract-at-avidbots,,expired,2023-08-10T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +ea04a21c-abd7-4548-a9e9-9e7c3baccb77,257589081,RBC,Securities Data Analyst,on_site,"Toronto, ON, Canada",2023-08-10T01:51:01.893Z,"
                                                                          +

                                                                          Come Work with Us!

                                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                          +

                                                                          Job Title

                                                                          Securities Data Analyst

                                                                          -

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          -

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          12/10/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Product-Owner--Data-Enablement_JR00086181?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-16T12:33:02.760Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/277019769-product-owner-data-enablement-at-sun-life-financial,,expired,2023-10-05T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a8f9030d-eee4-4ccb-8c1c-18150946530e,303082230,BMO Financial Group,"Manager, Risk Modeling and Analytics,",on_site,"Ontario, Canada",2024-01-29T06:25:01.814Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          02/07/2024

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          The Securities Data Services (SDS) group within RBC\'s Reference Data Service’s is responsible for the management of RBC Capital Markets’ central repositories of securities data. As a Data Analyst you will assist with providing reusable, authoritative, timely, comprehensive, and consistent securities reference data across the organization.

                                                                          +


                                                                          You will play a key role in the management of the organizations securities reference data repository. Success will be accomplished by providing reference data expertise throughout Capital Markets and the operational support of the Securities Reference Data Repository (SRDR) as well as other internal and external repositories.

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          Experience with IFRS9 and CECL

                                                                          -

                                                                          -

                                                                          -

                                                                          Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                          • -
                                                                          • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                          • -
                                                                          • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                          • -
                                                                          • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                          • -
                                                                          • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • -
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • -
                                                                          • Conducts quantitative research in risks across strategies and portfolios.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.
                                                                          • +
                                                                          • Provide front-line operational support for securities reference data

                                                                          • +
                                                                          • Setup and maintain securities reference data for fixed income, equity, and equity derivative securities, including corporate actions, ensuring that data is accurate and timely

                                                                          • +
                                                                          • Review/investigate data exceptions through the use of data query tools and remediate exceptions as necessary

                                                                          • +
                                                                          • Assist in the implementation of process improvement and system enhancement initiatives by identifying opportunities for automation and by researching the root cause of data quality issues.

                                                                          • +
                                                                          • Contribute to the department knowledge base by creating and updating documentation of supported processes

                                                                          -

                                                                          Qualifications:

                                                                          -

                                                                          Foundational level of proficiency:

                                                                          +

                                                                          What you need to succeed?

                                                                          +

                                                                          Must-haves

                                                                            -
                                                                          • Regulatory capital and stress testing.
                                                                          • -
                                                                          • Compliance and regulation.
                                                                          • -
                                                                          • Machine learning.
                                                                          • -
                                                                          • Learning Agility.
                                                                          • -
                                                                          • Systems Thinking.
                                                                          • +
                                                                          • University Degree
                                                                          • +
                                                                          • Good knowledge of different financial product types (fixed income, equity, derivatives, currency, commodities)
                                                                          • +
                                                                          • Advanced problem solving, analytical and decision-making skills
                                                                          • +
                                                                          • Experience in developing successful and responsive relationships with a wide number of groups at various levels
                                                                          • +
                                                                          • Good experience using MS Excel, MS Access, and Business Intelligence tools; intermediate to advanced MS Excel skills.
                                                                          • +
                                                                          • Expected daily start time: 11AM Atlantic (10AM Eastern) but subject to change
                                                                          -

                                                                          Intermediate level of proficiency:

                                                                          +

                                                                          Nice-to-haves

                                                                            -
                                                                          • Model risk management.
                                                                          • -
                                                                          • Data visualization.
                                                                          • -
                                                                          • Data wrangling.
                                                                          • -
                                                                          • Data preprocessing.
                                                                          • -
                                                                          • Critical thinking.
                                                                          • -
                                                                          • Driving Results.
                                                                          • -
                                                                          • Verbal & written communication skills.
                                                                          • -
                                                                          • Collaboration & team skills.
                                                                          • -
                                                                          • Analytical and problem solving skills.
                                                                          • -
                                                                          • Data driven decision making.
                                                                          • +
                                                                          • Completion of the Canadian Securities Course (CSC)
                                                                          • +
                                                                          • Relevant work experience in the use of reference data across different product types (fixed income, equity, derivatives, currency, commodities) within an established financial institution, investment bank or fund management organization
                                                                          • +
                                                                          • Experience with the use of Bloomberg and Reuters Data (Corporate Actions, Reference Data)
                                                                          • +
                                                                          • Working knowledge of ADP/Broadridge settlement system
                                                                          • +
                                                                          • Experience with GoldenSource or any another enterprise data management system
                                                                          -

                                                                          Advanced level of proficiency:

                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                            -
                                                                          • Quantitative financial modeling.
                                                                          • -
                                                                          • Computational thinking and programming.
                                                                          • -
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • +
                                                                          • Opportunities to do challenging work
                                                                          • +
                                                                          • Flexible work/life balance options
                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Modeling-and-Analytics--IFRS9-and-CECL_R240001534?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-08T06:30:02.094Z,False,0,1,46,https://talenthub.vectorinstitute.ai/jobs/303082230-manager-risk-modeling-and-analytics-at-bmo-financial-group,,expired,2024-01-29T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -1276345a-91f9-4dc7-951c-a03f91763684,304479155,Scotiabank,"Manager, Pre-Approved Strategies, Unsecured Origination (Data Analytics) (12 Month Contract)",on_site,Canada : Ontario : Toronto,2024-02-04T16:26:03.348Z,"

                                                                          -

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          Address:

                                                                          HALIFAX, Nova Scotia, Canada

                                                                          City:

                                                                          CAN-NS-BEDFORD

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Capital Markets

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-07-27

                                                                          Application Deadline:

                                                                          2023-08-11
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +
                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000064345/Securities-Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-14T18:17:00.000Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/257589081-securities-data-analyst-at-rbc,,expired,2023-08-10T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +8713c211-fad1-44bd-895b-33e096bfa6b5,265418806,Scotiabank,"Manager, Advisory Data",on_site,Canada : Ontario : Toronto,2023-08-31T16:22:03.265Z,"

                                                                          -

                                                                          Requisition ID: 189135

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Purpose of Job:

                                                                          +

                                                                          Requisition ID: 182600

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          The mandate of this role is to develop and monitor credit risk acquisition strategies, policies, and processes to optimize risk/return for credit cards, unsecured lines of credit, and over drafts for the Canadian retail portfolio.

                                                                          -

                                                                          The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Regulators.

                                                                          -

                                                                          This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

                                                                          +

                                                                          Purpose:

                                                                          +


                                                                          Leads and oversees GBM Data Office, Global Banking and Markets, ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies, and procedures.

                                                                          -

                                                                          Job Responsibilities:

                                                                          +

                                                                          Contributes to the overall success of the Data Office in ensuring specific individual goals, plans, initiatives are executed / delivered in support of the Bank’s Data Strategy. Works with Data Producers and Consumers to onboard new reusable datasets and implement, and monitor compliance against industry leading data governance practices and data management capabilities, in alignment with enterprise strategic priorities, business line priorities and regulatory requirements
                                                                          .

                                                                          +


                                                                          Accountabilities:

                                                                          -

                                                                          Credit Risk Strategies

                                                                          -
                                                                          • Develop credit risk strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure

                                                                          • Promote best practices and leverage appropriate analytical tools for all strategy development and policy enhancements as well as leveraging information from credit bureau and other third-party data.

                                                                          • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.

                                                                          • Leverage champion/challenger capabilities and incorporate non-traditional data and innovation for continuous improvements to existing strategies.

                                                                          • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.

                                                                          • -
                                                                          -

                                                                          Portfolio Monitoring

                                                                          -
                                                                          • Monitor, assess and evaluate existing risk strategies to identify opportunities and recommend changes to pre-approval strategies to ensure the Bank remains within risk appetite.

                                                                          • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts.

                                                                          • -
                                                                          -

                                                                          Automation

                                                                          -
                                                                          • Demonstrate initiative to automate and simplify tasks to set risk thresholds to measure and control risks using technical or analytical skills and Tools such as PowerBI.

                                                                          • -
                                                                          -

                                                                          -

                                                                          Support Business Line Initiatives/Projects

                                                                          -
                                                                          • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework. 

                                                                          • Represent Risk’s point of view and liaise with stakeholders throughout the organization to socialize, and explain risk measures clearly and as appropriate.

                                                                          • Identify areas where new/enhanced policies or procedures need to be implemented to improve productivity and performance within risk appetite and recommend/implement appropriate changes.

                                                                          • -
                                                                          -

                                                                          -

                                                                          Canadian Regulator, Internal Audit and Fraud Management

                                                                          -
                                                                          • Support investigations and solutioning for OSFI findings and/or Internal Audit items in an appropriate and acceptable timeframe.

                                                                          • Liaise with the Fraud Department and Security and Investigations as required.

                                                                          • +
                                                                            • Collaborates with internal business and technology partners to on-board new datasets and to consume datasets from the GBM Data Platform.
                                                                            • Serves as an Onboarding Subject Matter Expert, directly contributing to the success of our partner’s priority business projects.
                                                                            • Champions a customer-focused culture to deepen client relationships and to ensure a seamless customer experience.
                                                                            • Support and ensure that our partners adhere to the Data Policy and Data Standards as it relates to the onboarding of new datasets for consumption.
                                                                            • Manages the end-to-end GBM Data Platform (Streaming and Batch Channels) Intake process on all new initiatives initiated by data producers and data consumers.
                                                                            • Ensure that required metadata is captured for each intake including the use case definitions for each consumer.
                                                                            • Work on audit and regulatory requests as required.
                                                                            • Collaborates with the data modelling team, IT development team and Enterprise Data Governance teams for successful capture and implementation of various data governance activities including metadata management, Source to Target Mapping, Asset Class Mapping, Scotia Sensitivity Data Element, Privacy Impact Assessment, etc.
                                                                            • Responsible for the continuous improvement of the existing intake process on the streaming channel of the data platform, identifies gaps to solve complex data issues.
                                                                            • Manages the documentation and maintenance of the Service Level Agreements and Data Sharing Agreement for the producers and consumers of the GBM Data Platform.
                                                                            • Responsible for establishing and monitoring the Data Access Controls.
                                                                            • Responsible for reporting data platform metrics to senior management
                                                                            • Responsible for monitoring the status of data intake project from the JIRA system, improving and automating the status report for senior management
                                                                            • Engages and consults with stakeholders across the entire life cycle of data publishing (IST->UAT>PROD>Monitoring).
                                                                            • Arrange and conduct meetings and review on-boarding requirements with front, middle and back-office source system subject matter experts to ensure data management and lineage is recorded in the Data Governance Repository. An understanding of the Data Governance Repository will be required to support this work.
                                                                            • Planning skills to contribute and shape the required project plan to meet the needs of the consumers and project timelines based on the consumer’s requirements and anticipated steps to acquire data.

                                                                            -

                                                                            Job Requirements:

                                                                            +


                                                                            Requirements & Qualifications:

                                                                            -

                                                                            Desired: Bachelor’s degree or higher in business, statistics, economics, mathematics, computer science, data science or analytics.

                                                                            -
                                                                            • A minimum of 2-5 years in the risk/portfolio management field, with a successful track record of success in using analytical tools to conduct data analysis, ideally related to credit risk management.

                                                                            • Strong knowledge of SAS/SQL and Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques.

                                                                            • Able to translate data into digestible dashboards and business insights (Tableau, PowerBI, PowerApp)

                                                                            • Strong communication and relationship management skills complemented with solid analytical and problem-solving skills.

                                                                            • Project management and leadership skills to prioritize, manage and implement a variety of contesting initiatives is preferred.

                                                                            • Strong knowledge creating strategies that impact organization’s P&L

                                                                            • Prior experience in a retail lending environment or credit risk management is preferred.

                                                                            • +
                                                                              • Knowledge of data management processes and best practices
                                                                              • Proven delivery experience, Agile experience an asset
                                                                              • Knowledge of Scotiabank’s operations to understand and lead the implementation of strategic initiatives across a number of disciplines preferred
                                                                              • University Degree in Finance / Computer Science / Business / Mathematics
                                                                              • Proven data analytic skills using tools like Power BI / SQL / Python / Postman / ElasticSearch
                                                                              • Demonstrated ability to be flexible/ adaptable in exercising judgment in a changing environment and to manage competing priorities
                                                                              • Proven ability to learn business products and processes quickly and to work well with business partners at different levels within the organization
                                                                              • Three to five years of similar experience in a financial banking environment within the data governance discipline.
                                                                              • Experience with different data structures e.g. AVRO, JSON, and querying tools and techniques
                                                                              • Project Management experience is an asset
                                                                              • Must be results-oriented, and self-driven.
                                                                              • Nice to have a general understanding of Capital Market products
                                                                              • Nice to have experience with Atlassian tools, such as JIRA and Confluence
                                                                              • Strong communication skills with the ability to write clearly and concisely to convey a message
                                                                              • Strong interpersonal, problem-solving, and critical-thinking skills
                                                                              +

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Pre-Approved-Strategies%2C-Unsecured-Origination-%28Data-Analytics%29-%2812-Month-Contract%29-ON-M5C2W1/576921317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-08T16:31:04.469Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/304479155-manager-pre-approved-strategies-unsecured-origination-data-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Pre-Approved-Strategies%2C-Unsecured-Origination-%28Data-Analytics%29-%2812-Month-Contract%29-ON-M5C2W1/576921317/,expired,2024-02-04T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e02d20da-9633-48b5-9993-68e0d42eb332,312135967,Loblaw Companies Ltd,"Senior Analyst, Credit, Enterprise Risk Management - 18 Month Contract",on_site,"Ontario, Canada",2024-03-14T06:28:01.556Z,"
                                                                          -

                                                                          Referred applicants should not apply directly to this role.

                                                                          -

                                                                          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                                                          -

                                                                          -

                                                                          -

                                                                          Location:

                                                                          500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                                                                          -

                                                                          When you hire great people, great things can happen.

                                                                          -

                                                                          PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                                                                          -

                                                                          -

                                                                          Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                                                                          -

                                                                          -

                                                                          Reporting to the Manager - Credit, Enterprise Risk Management, the Senior Analyst will be responsible for supporting the execution of key reporting, validations, and other high-visibility risk related deliverables across our portfolio. The company is looking for a curious and self-driven individual possessing the right critical thinking, analytics, data visualization, and interpersonal skills to proactively tap into existing processes for the second line of defense and seek new opportunities to improve the existing systems.

                                                                          -

                                                                          -

                                                                          What You\'ll Do:

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advisory-Data-ON-M5C2V9/572850917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-04T16:27:05.567Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/265418806-manager-advisory-data-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advisory-Data-ON-M5C2V9/572850917/,expired,2023-08-31T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +2c7341f8-d0c2-45e2-8b49-2f785c093241,256104865,Clearpath,Perception Team Lead - Localization and Mapping,on_site,"Ontario, Canada",2023-08-06T02:18:02.693Z,"

                                                                          Description

                                                                          +

                                                                          Position: Perception Team Lead - Localization and Mapping
                                                                          Location: Kitchener, Ontario
                                                                          Job Type: Full-Time Permanent
                                                                          Experience: 5-10 Years Relevant Work Experience
                                                                          Education: Graduate Degree in a related field
                                                                          Division: OTTO Motors

                                                                          +


                                                                          About OTTO Motors, a division of Clearpath Robotics

                                                                          +

                                                                          At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                                                          +

                                                                          About the Job

                                                                          +

                                                                          We\'re looking for a driven, resourceful, motivated candidate for the Perception Team Lead position. This person will lead a team of developers to create and maintain the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                                                          +

                                                                          The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                                                          +

                                                                          About You

                                                                          +

                                                                          For the role of Perception Team Lead we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                                                          +

                                                                          Your primary responsibilities will be:

                                                                            -
                                                                          • Analyze data and prepare dashboards showcasing portfolio and industry trends.
                                                                          • -
                                                                          • Perform quality assurance to ensure adherence with the Bank’s credit risk policy and directives.
                                                                          • -
                                                                          • Provide support on strategic initiatives such as credit risk appetite and limit setting process, credit loss allowance assessment (i.e., IFRS9 model), and scorecard validation etc.
                                                                          • -
                                                                          • Ensure strong governance and effective controls through independent calculation and reconciliation of key risk metrics.
                                                                          • -
                                                                          • Use quantitative analysis to evaluate and monitor risk performance of credit risk strategy proposals, including but not limited to account acquisition and management.
                                                                          • -
                                                                          • Utilize reporting BI tools to support process automations and to improve efficiency.
                                                                          • -
                                                                          • Foster relationships with internal and external partners; collaborate with other business units to ensure that enterprise risk interests are addressed in business initiatives.
                                                                          • -
                                                                          • Ensure proper documentation is maintained for compliance and audit purposes.
                                                                          • +
                                                                          • Lead a team of exceptional perception developers to create robust innovative solutions to the problems of robotic perception
                                                                          • +
                                                                          • Development of custom SLAM, localization, computer vision, and perception algorithms
                                                                          • +
                                                                          • Evaluation of new algorithms and sensing technology
                                                                          • +
                                                                          • Assisting with concept development for new products and projects
                                                                          • +
                                                                          • Supporting deployment and testing of robotic systems
                                                                          • +
                                                                          • Supervising and mentoring team members
                                                                          -

                                                                          -

                                                                          What You\'ll Need:

                                                                            -
                                                                          • University degree in a quantitative field, Economics, Business Administration, Statistics, Mathematics, Computer Science or equivalent.
                                                                          • -
                                                                          • 3+ years working in the retail financial industry, credit risk management, data analysis / financial modeling / data mining role.
                                                                          • -
                                                                          • Fluent in Python and SQL. Familiarity with Cloud environment is a plus.
                                                                          • -
                                                                          • Intermediate understanding of credit risk management concepts and knowledge of credit scoring & risk assessment.
                                                                          • -
                                                                          • Self-starter with ability to work under pressure and tight timelines.
                                                                          • -
                                                                          • Strong interpersonal skills to work with multiple stakeholders and garner consensus.
                                                                          • -
                                                                          • Proficient in statistical analysis with knowledge of tools such as SAS.
                                                                          • -
                                                                          • Knowledge of life cycle risk systems such as TRIAD and TSYS is a plus.
                                                                          • -
                                                                          • High degree of proficiency in MS Office Applications including Excel, PowerBI, PowerPoint and VBA.
                                                                          • +
                                                                          • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                                                          • +
                                                                          • Stay up to the date with the latest developments from academia and industry
                                                                          -

                                                                          -

                                                                          -

                                                                          Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                                                                          -

                                                                          -

                                                                          -

                                                                          Number of Openings:

                                                                          0

                                                                          -

                                                                          PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                                                                          -

                                                                          -

                                                                          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                                                                          -

                                                                          -

                                                                          -

                                                                          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Analyst--Credit--Enterprise-Risk-Management---18-Month-Contract_R2000445366?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2024-04-08T06:33:01.555Z,False,0,3,73,https://talenthub.vectorinstitute.ai/jobs/312135967-senior-analyst-credit-enterprise-risk-management-18-month-contract-at-loblaw-companies-ltd,,expired,2024-03-14T06:28:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -0782c977-1d35-4fc4-8e55-9a6037e88be0,296508138,Scotiabank,"Senior Manager, Insights and Analytics",on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.521Z,"

                                                                          -

                                                                          +

                                                                          Skills and experience:

                                                                          +
                                                                            +
                                                                          • Graduate degree in engineering/CS or a related field
                                                                          • +
                                                                          • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, or sensor modeling.
                                                                          • +
                                                                          • Strong software development skills in modern C++
                                                                          • +
                                                                          • Understanding of software development workflows, life cycles and development methodologies and tools.
                                                                          • +
                                                                          • Excellent leadership, teamwork, and communication skills
                                                                          • +
                                                                          • Ability to independently develop software development plans, including scope, timelines, resource estimates, and test procedures.
                                                                          • +
                                                                          +

                                                                          Bonus points for:

                                                                          +
                                                                            +
                                                                          • Hands-on experience with real world autonomous systems
                                                                          • +
                                                                          • Experience with leading software development teams.
                                                                          • +
                                                                          • Experience writing efficient, high performance code
                                                                          • +
                                                                          • ROS, Gazebo, OpenCV and PCL experience
                                                                          • +
                                                                          • Familiarity with graph optimization techniques and libraries
                                                                          • +
                                                                          • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                                                          • +
                                                                          +

                                                                          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                                                          ",,http://jobs.jobvite.com/clearpath/job/oWdumfwJ,feed-importer@jobboard.io,,,,2023-09-07T14:07:36.198Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/256104865-perception-team-lead-localization-and-mapping-at-clearpath,,expired,2023-08-06T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Team Lead,Masters Degree,New Posting, +d0b1695e-da47-4509-ae28-173aaef66b33,266969880,Scotiabank,Global Banking and Markets - GAFE Financial Engineering Internship/Co-Op - Summer 2024 - 12 Months,on_site,Canada : Ontario : Toronto,2023-09-04T16:22:03.946Z,"

                                                                          -

                                                                          Requisition ID: 190571

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Purpose:

                                                                          -

                                                                          Leads and contributes to the overall success of Global Brand & Customer Insights across the Scotiabank Group of Companies on Canadian and international mandates ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies, and procedures.

                                                                          +

                                                                          Requisition ID: 184248

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Accountabilities:

                                                                          -
                                                                          • Leads and drives a client focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                          • -
                                                                          -

                                                                          -
                                                                          • -Oversees day-to-day operation of the analytics platform used by Global Brand & Customer Insights (GBCI) to support voice-of-the client and voice-of-the-employee analysis and insights:
                                                                            • Oversees data transfer, development and maintenance of analytics models, dashboard design and ongoing reporting to ensure that source data, text analytics models and reporting meet industry best practices and support business line partner needs.
                                                                            • Leads day-to-day relationship with analytics platform vendor(s), including preparation and communication of detailed project plans, requirements documents, task accountabilities, data transfer requirements and platform updates.
                                                                          • +

                                                                            Term: May 2024 to April 2025

                                                                            +

                                                                            Application Deadline: 10/02/2023

                                                                            +

                                                                            +

                                                                            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                            +

                                                                            +

                                                                            As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                                            +

                                                                            +

                                                                            Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                                            +

                                                                            +

                                                                            Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                                                            +

                                                                            +

                                                                            +

                                                                            Is this role right for you? In this role, you will:

                                                                            +
                                                                            • Assist the development and testing of cutting-edge derivatives pricing models
                                                                            • Build quantitative tools for trading and structuring desks
                                                                            • Build and maintain infrastructure processes for new business lines
                                                                            • Ad hoc investigations for trading and marketing desks
                                                                            • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                                            • Provide support to the trading and sales desks
                                                                            -

                                                                            -
                                                                            • -Responsible for the management of the client and employee experience analytics within GBCI, including:
                                                                              • Working with internal partners to understand analytics, insights, and designing analysis to support current and future needs.
                                                                              • Lead voice-of-the client and voice-of-the-employee analytics initiatives including, design, execution, project management, analysis, and reporting.
                                                                              • Aggregate and curate client data inputs across platforms, identifying opportunities to continually improve the client experience.
                                                                              • Prepare dashboards, reports and presentations of analytics findings and present findings to different audiences across the Bank.
                                                                              • Showcases and advocates for research strategy and insights through internal presentations, workshares and knowledge sharing platforms.
                                                                            • +

                                                                              +

                                                                              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                              +
                                                                              • You are currently enrolled in post-secondary education.
                                                                              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                              • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                                                              • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                                                              • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                                                              • You have strong analytic and problem-solving skills.
                                                                              • You have strong interpersonal skills, results oriented and a team player.
                                                                              • You are able to work well in a fast-paced environment with changing priorities.
                                                                              • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.

                                                                              -
                                                                              • -Provide relationship management support for various lines of business across the organization by:
                                                                                • Establishing a cohesive network of relationships with vendors to ensure that insights meet business needs, and to enhance client and employee experience insights.
                                                                                • Fostering trust with internal stakeholders, including key senior leaders across the organization to leverage insights to influence business strategies and decisions.
                                                                                • Delivering insights in a consultative way to support stakeholders during strategy, ideation, and execution phases of their projects.
                                                                                • Provide support to inner loop functions, ensuring resolutions are smooth and result in a positive brand image for the Bank.
                                                                              • -
                                                                              -

                                                                              -
                                                                              • -Maintain knowledge of best practice in analytics and strategic initiatives by:
                                                                                • Aiding in the communication and dissemination of research and analytics findings, highlighting trends in client/consumer attitude and behavior throughout the Bank.
                                                                                • Researching industry best practices in analytics activities & execution and linking strategy to results.
                                                                                • Maintains expert knowledge on industry best practices related to client experience and satisfaction, acting as a source of knowledge for projects across the Bank.
                                                                                • Creating and maintaining a network of analytics, insights, and strategy professionals to share learnings.
                                                                              • -
                                                                              -

                                                                              -
                                                                              • Champions a high-performance environment and demonstrates a commitment to Scotiabank’s values: accountability, passion, integrity, and respect. Delivers results in accordance to Scotiabank behavioural competencies. Creates an inclusive team culture and an environment where team members hear, share, and appreciate diverse perspectives.
                                                                              • +

                                                                                What’s in it for you?

                                                                                +
                                                                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                                -

                                                                                -
                                                                                • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates and models the Bank’s risk culture and risk appetite statement throughout their teams.
                                                                                • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                                • +

                                                                                  This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                                                  +

                                                                                  +

                                                                                  How do I apply?

                                                                                  +

                                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                                  +

                                                                                  +
                                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                                  2. Complete a short one-way video interview here.
                                                                                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                                  4. +
                                                                                  +

                                                                                  +

                                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                                  +

                                                                                  +

                                                                                  +

                                                                                  Location(s): Canada : Ontario : Toronto

                                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2024-12-Months-ON/573676317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-07T16:27:06.968Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/266969880-global-banking-and-markets-gafe-financial-engineering-internship-co-op-summer-2024-12-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2024-12-Months-ON/573676317/,expired,2023-09-04T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +fdd49b96-86af-45b4-88e8-d502ced18177,266969885,Scotiabank,Global Banking and Markets - Global Equity Trading Developer - Fall 2024 - 12 month co-op/intern,on_site,Canada : Ontario : Toronto,2023-09-04T16:22:04.065Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 184247

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Term Dates: September 2024 to August 2025

                                                                          +

                                                                          Application Deadline: October 2, 2023

                                                                          +

                                                                          +

                                                                          There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          +

                                                                          +

                                                                          Why work for Scotiabank?

                                                                          +

                                                                          Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services.

                                                                          +

                                                                          This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

                                                                          +


                                                                          Who we are:

                                                                          +

                                                                          Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          Modern stock trading is increasingly a technology problem, as firms compete to build the fastest and smartest trading algorithms and systems. Scotiabank's Electronic Execution Services group develops customized algorithmic trading and smart order routing strategies with execute billions of dollars of equity trades each month. We work directly with the equity trading groups to give them the tools needed to compete in an evolving marketplace.

                                                                          +

                                                                          Students are key members of our team. During your term, you will develop, manage, and run systems which are integral to our business, while also gaining a unique view into the workings of trading at one of Canada's largest investment banks. This internship is a great opportunity for anyone looking to launch their career in the FinTech space! Many of the full-time team members started in this position.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +
                                                                          • Develop trading applications and algorithmic trading tools leveraging new technologies including AI and Deep Learning
                                                                          • Assist traders in day to day desk functions
                                                                          • Work on full-stack projects for a variety of internal trading desks
                                                                          • Create automated reports on trading activity for clients and internal use
                                                                          • Design and manage databases containing market data and trade information
                                                                          -

                                                                          -
                                                                          • Builds a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment. Uses a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.
                                                                          • +

                                                                            +

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            +
                                                                            • You are currently enrolled in post-secondary education.
                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                                                                            -

                                                                            -

                                                                            Experience:

                                                                            -
                                                                            • Experience in data analytics, market research or business analysis field (8+ years).
                                                                            • Experience running, implementing, and managing Voice-of-Client programs.
                                                                            • Solid analytical skills - must be comfortable working with large amounts of information, data mining and translating data into clear and concise findings.
                                                                            • Advanced level of experience with Microsoft Office (PowerPoint, Excel, Access).
                                                                            • Experience working with text analytics tools (e.g., Clarabridge, Medallia).
                                                                            • Excellent project management skills to prioritize, manage, and implement a variety of competing projects.
                                                                            • Strong interpersonal skills with proven ability to work within cross-functional teams.
                                                                            • Strong written and verbal communications skills.
                                                                            • Experience in financial services would be an asset.
                                                                            • Experience with survey tools such as Qualtrics would be an asset.
                                                                            • Ability to speak Spanish is not required but would be considered an asset.
                                                                            • +
                                                                              • You have strong programming and analytical skills with prior experience in one or more of Python, JavaScript, Java, SQL, MongoDB, Angular, HTML/CSS and C# with special emphasis on Python and JavaScript.
                                                                              • You have the ability to manage priorities effectively in a fast-paced environment.
                                                                              • You have knowledge of or a passion for the financial markets.
                                                                              • You have a high level of attention to detail and high professional standards.
                                                                              • You have a high level of energy and a keen desire to learn new concepts.
                                                                              -

                                                                              -

                                                                              Education:

                                                                              -

                                                                              University degree in Computer Science, Math/Statistics or Business Administration/Commerce is preferred.

                                                                              +

                                                                              +

                                                                              How do I apply?

                                                                              +

                                                                              +

                                                                              Please complete all four steps below:

                                                                              +
                                                                              1. Complete your PLUM Profile here and save as a screenshot.
                                                                              2. Complete a short one-way video interview here.
                                                                              3. Complete a Codility Assessment here.
                                                                              4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                              5. +
                                                                              +

                                                                              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Insights-and-Analytics-ON-M5C2W1/576791017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-15T16:31:04.119Z,False,0,1,56,https://talenthub.vectorinstitute.ai/jobs/296508138-senior-manager-insights-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Insights-and-Analytics-ON-M5C2W1/576791017/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -4c13d8ec-c08d-4851-a5aa-4f04c911c342,296401069,Borealis AI,Senior Researcher,on_site,"Ontario, Canada",2023-12-21T06:38:01.433Z,"
                                                                          -

                                                                          What\'s the opportunity?

                                                                          -

                                                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                          -

                                                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                          -

                                                                          Your responsibilities include:

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Equity-Trading-Developer-Fall-2024-12-month-co-opintern-ON/573676217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-07T16:27:06.968Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/266969885-global-banking-and-markets-global-equity-trading-developer-fall-2024-12-month-co-op-intern-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Equity-Trading-Developer-Fall-2024-12-month-co-opintern-ON/573676217/,expired,2023-09-04T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +85e064a5-ed73-459c-b2a2-e936d6ceac0b,264447142,BenchSci,Sr ML Engineer - Research & NLP (Remote),full,"Toronto, Ontario Remote",2023-08-28T16:27:01.920Z,"
                                                                          +
                                                                          +We are seeking a Sr ML Engineer - Research & NLP to join our growing Core Machine Learning (CoreML) team. You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. +
                                                                          +

                                                                          +
                                                                          Reporting to the Engineering Manager, ML, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                                                                          +

                                                                          +
                                                                          BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                                                          +
                                                                          +
                                                                          +

                                                                          You Will:

                                                                          +
                                                                              +
                                                                            • Design, build, evaluate and deploy robust, scalable and production-ready ML models that enhance the speed and quality of life-saving research
                                                                            • +
                                                                            • Run research-focused projects to invent new NLP/ML solutions
                                                                            • +
                                                                            • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                                                                            • +
                                                                            • Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                                                                            • +
                                                                            • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                                                                            • +
                                                                            • Participate and contribute to sprint planning, estimation, and design/code reviews, advocating for innovative solutions and long-term technical investments that will drive innovation at BenchSci
                                                                            • +
                                                                            • Work cross-functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology
                                                                            • +
                                                                            • Provide guidance to engineers and help to foster a culture of continuous growth
                                                                            • +
                                                                          +
                                                                          +
                                                                          +

                                                                          You Have:

                                                                          +
                                                                              +
                                                                            • 4+ years of experience working as a professional developer applying ML techniques, with 2+ years in ML research
                                                                            • +
                                                                            • Expertise in fundamentals of ML model training and designing, building and evaluating robust & scalable production-ready ML models
                                                                            • +
                                                                            • Strong experience working with LLMs, Python and programming fundamentals, and NLP & PyTorch
                                                                            • +
                                                                            • Experience with data manipulation and processing, such as SQL or pandas
                                                                            • +
                                                                            • Demonstrated ability to solve complex problems with an eye for detail, such as scalability and performance of a potential solution
                                                                            • +
                                                                          +
                                                                          +
                                                                          +
                                                                          Benefits and Perks:
                                                                          +
                                                                          An engaging remote-first culture
                                                                          +
                                                                          A great compensation package that includes BenchSci equity options
                                                                          +
                                                                          15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                                                          +
                                                                          Unlimited flex time for sick days, personal days, religious holidays
                                                                          +
                                                                          Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                                                          +
                                                                          A $2000 CAD* Annual Learning & Development budget
                                                                          +
                                                                          A $1000 CAD* home office set-up budget
                                                                          +
                                                                          A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                                                          +
                                                                          Generous parental leave benefits with a top-up plan or paid time off options
                                                                          +
                                                                          *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                                                          +

                                                                          +
                                                                          About BenchSci:
                                                                          +
                                                                          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                          +
                                                                          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                          +

                                                                          +
                                                                          Our Culture:
                                                                          +
                                                                          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                          +
                                                                          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                          +
                                                                          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                          +

                                                                          +
                                                                          +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                          +

                                                                          +
                                                                          +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                          +

                                                                          +
                                                                          #LI-Remote
                                                                          +
                                                                          ",,https://jobs.lever.co/benchsci/fe2e10f6-310f-483d-88bd-4f1393d9585a?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-09-07T16:32:14.417Z,False,0,12,51,https://talenthub.vectorinstitute.ai/jobs/264447142-sr-ml-engineer-research-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/fe2e10f6-310f-483d-88bd-4f1393d9585a,expired,2023-08-28T16:27:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, +f5074a61-1de3-4976-a061-853c3465f706,267055079,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2023-09-05T02:24:03.101Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Role Summary:

                                                                          +

                                                                          +

                                                                          Reporting to the Manager, Compliance Analytics, the Data Analyst is responsible for supporting Compliance with a variety of analytics initiatives. These responsibilities include reviewing large quantities of data for a variety of compliance functions, developing enhanced reporting, automation of various processes and performing various investigative and analytical functions.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Developing novel AI solutions that facilitate impactful products;
                                                                          • -
                                                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                          • -
                                                                          • Working with the development team to transfer research work into production;
                                                                          • -
                                                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                          • -
                                                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                          • +
                                                                          • Work with Compliance PMO to develop compliance metrics and dashboards to support effective oversight of business operations’ compliance with regulatory requirements and improved risk management.

                                                                          • +
                                                                          • Undertake projects that relate to Compliance, Analytics and Technology

                                                                          • +
                                                                          • Design, develop and implement business requests and analytical solutions using technologies such as Excel, SQL and Tableau.

                                                                          • +
                                                                          • Build automations in Excel and/or other tools to support business needs.

                                                                          • +
                                                                          • Performing exploratory data analysis using statistical models over platforms like Tableau Prep, Python, AWS.

                                                                          • +
                                                                          • Produces specialized reports and data extracts for assigned business areas while demonstrating solid understanding of business objectives.

                                                                          • +
                                                                          • Maintain and generate the reports and ensures the accuracy of the information.

                                                                          • +
                                                                          • Produce technical and user documentation to support create tools and dashboards

                                                                          -

                                                                          You’re our ideal candidate if you have:

                                                                          +

                                                                          +

                                                                          What will you need to succeed?

                                                                            -
                                                                          • A passion for solving open problems using data and algorithms;
                                                                          • -
                                                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                          • -
                                                                          • Ability to formulate and drive a research project independently without close supervision;
                                                                          • -
                                                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                          • -
                                                                          • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                                                          • -
                                                                          • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                                                          • +
                                                                          • Bachelor degree in Computer Science, Information Technology, or equivalent experience.

                                                                          • +
                                                                          • At least 2 years of experience in data analytics.

                                                                          • +
                                                                          • At least 2 years experience with software packages like VBA, SQL, Python, Tableau Prep

                                                                          • +
                                                                          • Experienced in developing visualizations over tools like Tableau.

                                                                          • +
                                                                          • Experience with ETL processes, data management, and process improvement.

                                                                          • +
                                                                          • Excellent programming skills with a keen aptitude for learning new programming languages and analytics tools.

                                                                          • +
                                                                          • Strong problem solving and analytical skills.

                                                                          • +
                                                                          • Ability to work independently as well as in a team.

                                                                          • +
                                                                          • Excellent oral, written and interpersonal communication skills

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • -
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                          • Insurance/Financial Services experience preferred

                                                                          • +
                                                                          • Working knowledge over cloud platforms like AWS

                                                                          -

                                                                          About Borealis AI

                                                                          -

                                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                          -
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=6892611002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-01-18T06:43:02.545Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/296401069-senior-researcher-at-borealis-ai,,expired,2023-12-21T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -f6ea4a63-33fd-490f-a507-54bf7f139059,300420313,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2024-01-13T19:22:03.142Z,"

                                                                          Req Id: 416312 

                                                                           

                                                                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                           

                                                                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                                                                           

                                                                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                                                                           

                                                                           

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                                                                          -

                                                                          Summary

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                                                                          -
                                                                          -

                                                                          Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                                          -

                                                                          This is an excellent opportunity for the right person to join our team and play a key role transforming the organization.  If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

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                                                                          Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

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                                                                          Key Responsibilities

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                                                                          -
                                                                            -
                                                                          • This is an Agile development environment, working with the latest BI visualization tools and technologies
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                                                                          • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
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                                                                          • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
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                                                                          • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
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                                                                          • Deliver on key projects and data strategies that directly support key business drivers
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                                                                          • Work with and opportunity to present to various management levels
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                                                                          • Maintain and expand your knowledge of BI and current technology through training opportunities
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                                                                          Critical Qualifications

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                                                                          +

                                                                          What\'s in it for you?

                                                                          +
                                                                            +
                                                                          • Competitive salary and bonus structure influenced by market range data

                                                                          • +
                                                                          • Entitlement to flexible benefits, pension and 3 weeks vacation.

                                                                          • +
                                                                          • Remote/ Hybrid Work

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                                                                          • A friendly, collaborative and inclusive culture

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                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                          • +
                                                                          +

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          +

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

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                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

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                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

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                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

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                                                                          +

                                                                          Salary Range:

                                                                          53,300/53 300 - 86,300/86 300

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          21/09/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00085231?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-09-07T19:55:00.000Z,False,0,10,34,https://talenthub.vectorinstitute.ai/jobs/267055079-data-analyst-at-sun-life-financial,,expired,2023-09-05T02:24:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2fbe2917-beac-4c8b-9fa9-0940b7654985,273736144,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-09-25T16:25:02.474Z,"
                                                                          +

                                                                          Hours

                                                                          +
                                                                          37.5
                                                                          +

                                                                          +

                                                                          Workplace Model

                                                                          +
                                                                          Hybrid
                                                                          +

                                                                          +

                                                                          Pay Details

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                          +

                                                                          +

                                                                          Department Overview

                                                                          +

                                                                          The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

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                                                                          +

                                                                          Job Details

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                                                                          Reporting to the Senior Advanced Analytics Manager, the Data Scientist II will be conducting all analytical activities related to AML transaction monitoring systems.

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                                                                            +
                                                                          • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
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                                                                          • Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank’s strategic efforts to mitigate money laundering and terrorist financing risk
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                                                                          • Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
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                                                                          • Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
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                                                                          • With assistance from management, assist with transaction monitoring related issues/questions from Global AML members, audit, and other partners
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                                                                          • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
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                                                                          • Partner with GAML teams to implement changes to existing solutions and/or the implementation of alternative solutions and serve as an ambassador for data science
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                                                                          • Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
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                                                                          +

                                                                          • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing

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                                                                            +
                                                                          • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
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                                                                          • Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.
                                                                          • +
                                                                          -
                                                                            -
                                                                          • -You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
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                                                                            • Business analytics / business intelligence
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                                                                            • applied math,
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                                                                            • computer science,
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                                                                            • applied science / engineering,
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                                                                            • economics/econometrics,
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                                                                            • Commerce
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                                                                            • management science / operations research
                                                                            • -
                                                                            • or related area
                                                                            • +

                                                                              +

                                                                              Job Requirements

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                                                                              +Specific Educational Requirements/Accreditations:

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                                                                              • Master’s degree or higher in Statistics, Computer Science/Software Engineering, PHD Preferred
                                                                              +


                                                                              Qualification/Skills/Experience:

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                                                                                +
                                                                              • Expert knowledge of Python, SAS, SQL, and R are essential. Others such as Java, Scala, tableau etc would be plus.
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                                                                              • Expert data explorations and analysis skills.
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                                                                              • Extensive work experience building predictive models with machine learning methods.
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                                                                              • Ability to apply statistical techniques and data mining tools to solve business problem.
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                                                                              • 3- 5 years of experience in analytics environments.
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                                                                              • Experience in query optimization, debugging and automation.
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                                                                              • Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds.
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                                                                              • Excellent multi-tasking skills: ability to adapt to and manage changing priorities
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                                                                              • Experience with working with direct and indirect reports and ability to collaborate with various teams to provide business insights and to inform business strategies.
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                                                                              • AML knowledge and experience on data-driven or data-centered projects would be an asset.
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                                                                            • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
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                                                                            • You are highly analytical and understand the basic principles of working with large and complex data sets
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                                                                            • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
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                                                                            • You have the ability to work with a team towards common goals
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                                                                            • You are able to manage multiple projects and priorities.
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                                                                            • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
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                                                                          Preferred Qualifications

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                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -
                                                                            -
                                                                          • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
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                                                                          • Experience with BI and data warehouse technologies
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                                                                          • Basic working knowledge of project management steps
                                                                          • -
                                                                          +

                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          -

                                                                           

                                                                          Additional Information:

                                                                          Position Type: Management 
                                                                          Job Status: Regular - Full Time 
                                                                          Job Location: Canada : Ontario : Mississauga 

                                                                          Flexible work profile: Mobile
                                                                          Application Deadline: 01/19/2024 

                                                                           

                                                                          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                                                           

                                                                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                           

                                                                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                           

                                                                          Created: CanadaON, Mississauga

                                                                           

                                                                          Bell, one of Canada's Top 100 Employers.

                                                                          ",,https://jobs.bell.ca/ca/en/job/BECACA416312EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-01-20T19:27:02.136Z,False,0,11,75,https://talenthub.vectorinstitute.ai/jobs/300420313-data-analyst-business-intelligence-at-bell-canada,BECACA416312EXTERNALENCA,expired,2024-01-13T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -99fa5db0-469e-4389-9051-8243a7642850,298833066,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2024-01-04T16:28:13.599Z,"
                                                                          +

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19165358/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-05T16:30:04.772Z,False,0,11,61,https://talenthub.vectorinstitute.ai/jobs/273736144-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19165358/data-scientist-ii-toronto-ca/,expired,2023-09-25T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +a927cb15-4cd9-410b-89b7-3166e8be409c,271463556,TD Bank Group,Senior Business Intelligence Reporting Analyst,on_site,"Ottawa, ON",2023-09-18T16:25:02.509Z,"

                                                                          Hours

                                                                          37.5

                                                                          @@ -63639,240 +64166,271 @@ f6ea4a63-33fd-490f-a507-54bf7f139059,300420313,Bell Canada,"Data Analyst, Busine

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                          Department Overview

                                                                          -
                                                                          -

                                                                          Our Leaders are committed to people development, career advancement and value diversity and inclusion.
                                                                          Are you looking for an exciting opportunity to?

                                                                          -
                                                                            -
                                                                          • Transform the way we operate as a bank?
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                                                                          • Make a big impact on how we operate with data?
                                                                          • -
                                                                          • Develop and deepen your knowledge of our core business, products, and operations?
                                                                          • -
                                                                          -

                                                                          Then the Canadian Personal Banking Data & Analytics (CPBD&A) team is your destination

                                                                          -
                                                                          +
                                                                          The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                                                          Job Details

                                                                          -

                                                                          About this Role

                                                                          -

                                                                          Take an integrated approach, as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup, and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement.

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Reporting accountability:

                                                                            -
                                                                          • Coordinate with analysts, data scientists, and product partners on analytical techniques and data analysis
                                                                          • -
                                                                          • Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address our greatest areas of opportunity
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                                                                          • Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking
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                                                                          • Provide business expertise to place context around analytics discovery
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                                                                          • Educate business partners and build awareness on how to leverage data & analytics to drive decision-making that will propel the business forward
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                                                                          • Develop analytical solutions to support insight generation that aligns to strategy and drives shareholder value
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                                                                          • Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels
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                                                                          • Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)
                                                                          • -
                                                                          • Challenge analytical thinking within products and guide the team through tactical analytic plans, while leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation
                                                                          • +
                                                                          • Accountable for creating, running and ensuring accuracy/quality of reports for CFO
                                                                          • +
                                                                          • Are a subject matter expert on the end-to-end operational process
                                                                          • +
                                                                          • Supports decision-makers
                                                                          • +
                                                                          • Support the modernization current reporting processes
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                                                                          • Recommend team’s workload and ad-hoc requests to address internal and external requests
                                                                          • +
                                                                          • Produce timely diagnostics to identify system and operational issues
                                                                          • +
                                                                          • Think forward and provide early gap recommendation
                                                                          • +
                                                                          • Help support change socialization and process adherence for new reporting
                                                                          • +
                                                                          +

                                                                          Partner Support

                                                                          +
                                                                            +
                                                                          • Act as SME to provide project team support to deliver on reporting requirements
                                                                          • +
                                                                          • Support the continuous improvement agenda for our operational partners
                                                                          • +
                                                                          • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                                                          • +
                                                                          • Act as a subject matter expert and represents the team or bank at project meetings or industry forums

                                                                          Job Requirements

                                                                          -What can you bring to TD?

                                                                          -
                                                                            -
                                                                          • Strong ownership mentality, proactive attitude, and ability to get things done
                                                                          • -
                                                                          • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
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                                                                          • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                                                          • -
                                                                          • Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
                                                                          • -
                                                                          • Ability to translate complex problems and solutions into a simple story, tailored to executive audiences
                                                                          • -
                                                                          • Excellent interpersonal and communication skills, both written and verbal
                                                                          • -
                                                                          • Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry
                                                                          • -
                                                                          • Understanding of products and strategies to challenge business cases and analyses
                                                                          • -
                                                                          • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                                                          • -
                                                                          • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
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                                                                          • Strong understanding of test and experimental design (Test and Learn)
                                                                          • -
                                                                          • Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally
                                                                          • -
                                                                          -

                                                                          Technical Experience:

                                                                          +Job Requirements:

                                                                            -
                                                                          • Relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                                                          • -
                                                                          • Experience with SQL Server, Python, and Excel skills are required
                                                                          • -
                                                                          • Knowledge of PySpark, Jupyter Notebooks, data mining tools such as Microsoft Applications (SSMS, Azure cloud, Office suite) and Bitbucket are all assets
                                                                          • -
                                                                          • Demonstrated knowledge in some of the following areas:
                                                                              -
                                                                            • Unsupervised Learning techniques
                                                                            • -
                                                                            • Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
                                                                            • -
                                                                            • Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
                                                                            • -
                                                                            • Data visualization and storytelling in Tableau
                                                                            • -
                                                                            -
                                                                          • -
                                                                          • Educational Requirements/Accreditations:
                                                                            • Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience
                                                                            -
                                                                          • +
                                                                          • Undergraduate degree from a technical domain preferably from a STEM program
                                                                          • +
                                                                          • 2+ years’ experience in an analytical/reporting capacity
                                                                          • +
                                                                          • Working knowledge of Python, SQL, relational databasing and data warehousing
                                                                          • +
                                                                          • Proficiency in Microsoft Excel (Power Query, Power Pivot, DAX) required to support data models and analytics
                                                                          • +
                                                                          • Automation experience to replace complicated processes with end-to-end solutions
                                                                          • +
                                                                          • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                                                          • +
                                                                          • Demonstrated analytical, modeling, and problem-solving skills
                                                                          • +
                                                                          • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                                                          • +
                                                                          • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                                                          • +
                                                                          • Ability to take initiative and work independently under tight timelines
                                                                          • +
                                                                          • Ability to work collaboratively and build relationships
                                                                          • +
                                                                          • Ability to effectively manage multiple projects and priorities simultaneously
                                                                          • +
                                                                          • Motivated to constantly strive to find innovative ways to enhance capabilities
                                                                          • +
                                                                          • Knowledge of machine learning is an asset
                                                                          • +
                                                                          • Agile experience is an asset
                                                                          • +
                                                                          • Experience in fraud management is asset
                                                                          • +
                                                                          • Experience with platforms like TSYS, PRM, Cardinal Commerce is an asset
                                                                          • +
                                                                          • Hands-on proficient experience with visualization tools (particularly Tableau) is considered a major asset

                                                                          Additional Information

                                                                          -
                                                                          #BusinessInsights #LI-Hybrid
                                                                          +
                                                                          #tdcybersecurity

                                                                          Company Overview

                                                                          Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

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                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

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                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

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                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          Inclusiveness

                                                                          -Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

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                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

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                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          -
                                                                          ",,https://jobs.td.com/en-CA/jobs/19649952/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-18T16:33:05.059Z,False,0,5,70,https://talenthub.vectorinstitute.ai/jobs/298833066-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19649952/sr-business-insights-analyst-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -94f4e5b8-0194-44f0-bdaf-81484dc5e339,300037863,NVIDIA,"PhD Research Intern, Autonomous Vehicles - Summer 2024",on_site,Canada,2024-01-11T16:41:41.438Z,"

                                                                          We are now recruiting top Research Interns (Autonomous Vehicle Research)! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19101829/senior-business-intelligence-reporting-analyst-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-10-05T20:00:00.000Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/271463556-senior-business-intelligence-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19101829/senior-business-intelligence-reporting-analyst-ottawa-ca/,expired,2023-09-18T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +965325ed-34f7-4877-9e9a-069dde2bf34a,284412091,RBC,"Associate, U.S. Data Strategy and Analytics",on_site,"Toronto, ON, Canada",2023-10-30T12:23:02.630Z,"
                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          The Associate, U.S. Data Strategy and Analytics will support and drive data management and technology projects/initiatives within the U.S. Data Strategy Group partner across functions and stakeholders to help support, drive, and execute target state plans

                                                                          -

                                                                          These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.

                                                                          +

                                                                          What will you do?

                                                                          +
                                                                            +
                                                                          • Represent the business needs while interfacing with technology for major initiatives, working collaboratively on scope and plan definition.
                                                                          • +
                                                                          • Independently drive technology initiatives and project plans through to resolution and help eliminate blockers.
                                                                          • +
                                                                          • Document the requirements and process flows in a clear and concise manner, and ability to communicate requirements to both functional and technology partners.
                                                                          • +
                                                                          • Perform data analysis to troubleshoot data-related issues and assist in the resolution of data issues.
                                                                          • +
                                                                          • Support the design and review metrics to track progress of various initiatives, including preparing scorecards and escalating delays and obstacles to management.
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                                                                          • Report metrics to track progress of managed projects, including preparing scorecards and escalating delays and obstacles to management.
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                                                                          • Work closely with a team of Application Developers, Architects, and Analysts.
                                                                          • +
                                                                          • Communicate key messages and updates to relevant stakeholders in a timely manner.
                                                                          • +
                                                                          • Perform additional responsibilities as requested to achieve business objectives.
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                                                                          -

                                                                          What you'll be doing:

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          Must Have

                                                                            -
                                                                          • Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
                                                                          • -
                                                                          • Publishing your original research.
                                                                          • -
                                                                          • Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
                                                                          • -
                                                                          • Transferring technology you've developed to relevant product groups.
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                                                                          • Minimum Bachelor’s degree or equivalent relevant experience specializing in Business, Finance, Math, Engineering or Liberal Arts
                                                                          • +
                                                                          • 3+ years of professional experience in a Financial Services company, preferably with a focus in Finance, Risk, Regulatory Reporting or Data Office
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                                                                          • Skillful in Microsoft Office Suite (Outlook, Excel, Access, PowerPoint, Word, etc.)
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                                                                          • Excellent oral and written communication skills with a keen sense of customer service
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                                                                          • Independently run workstreams, self-starter and takes initiative
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                                                                          • The ability to be process-oriented with great documentation skills
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                                                                          • Detailed oriented, driving data analytics to improve current state of business operations
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                                                                          • Problem-solving and troubleshooting skills with the ability to identify and solve complex business needs
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                                                                          • Capability to manage complex business requirements and to coordinate across multiple teams in a deadline-driven environment
                                                                          -

                                                                          What we need to see:

                                                                          +

                                                                          +

                                                                          Nice to have:

                                                                            -
                                                                          • Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
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                                                                          • Relevant research experience in the field of vehicle / robot autonomy.
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                                                                          • Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
                                                                          • -
                                                                          • A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
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                                                                          • Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
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                                                                          • Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
                                                                          • -
                                                                          • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.
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                                                                          • Experience working on data/technology projects, preferably in Financial Services sector
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                                                                          • Hands on experience with Business Objects, Tableau and advanced Excel functions
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                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Problem Solving, Quantitative Research, Research Documents

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                                                                          Additional Job Details

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                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Office of the CFO

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-10-26

                                                                          Application Deadline:

                                                                          2023-11-10

                                                                          -

                                                                          Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

                                                                          -

                                                                          The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                          -

                                                                          You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/PhD-Research-Intern--Autonomous-Vehicles---Summer-2024_JR1977858,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-02-10T16:41:43.842Z,False,0,7,81,https://talenthub.vectorinstitute.ai/jobs/300037863-phd-research-intern-autonomous-vehicles-summer-2024-at-nvidia,,expired,2024-01-11T16:41:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,PhD,New Posting, -a7a9cd1d-47d2-4c7b-8d9a-714f26238cfd,303576645,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2024-02-01T06:24:01.562Z,"
                                                                          -

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          -

                                                                          What You’ll Be Doing

                                                                          -

                                                                          As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                                                          -

                                                                          Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000070602/Associate-U-S-Data-Strategy-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-11-06T12:28:02.860Z,False,0,2,51,https://talenthub.vectorinstitute.ai/jobs/284412091-associate-u-s-data-strategy-and-analytics-at-rbc,,expired,2023-10-30T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +4314754d-6c0a-48c8-9c9c-3446c5ebe52b,283724773,Sun Life Financial,Engineering Lead,on_site,"Ontario, Canada",2023-10-26T12:28:03.396Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          -

                                                                          How You’ll Succeed

                                                                          -
                                                                            -
                                                                          • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                          • -
                                                                          • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                          • -
                                                                          • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                          • -
                                                                          • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                                                          • -
                                                                          • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                          • +

                                                                            Job Description:

                                                                            +

                                                                            Reporting to the Principal Architect, Sunlife International, the Engineering Lead is responsible for strategic delivery for IT initiatives for key Sun Life International projects. In doing this, the Engineering Lead will help bring Sun Life International and Sun Life Singapore’s IT strategy to life. The focus will be primarily on necessary data migration efforts already underway and realizing a target state architecture.

                                                                            +

                                                                            In accomplishing these objectives, this role will encompass all aspects of IT architecture, migration management which will include troubleshooting with technical team assistance, technical solution designing and accurate breakdowns of highly complex projects. The role requires a strategic thinker who has a diligent work ethic, who can make clear and concise presentations that explain technical terms in an easy to understand manner, who will ensure business partner relationships are excellent while collaborating across teams to organize this function and engage others in the journey.

                                                                            +

                                                                            What will you do:

                                                                            +
                                                                            • Build relationship with Strategic delivery, Transformation and Business teams to become
                                                                            +

                                                                            a trusted partner and advocate of the architecture agenda.

                                                                            +
                                                                            • Capture Current state technology and application landscape across high-net-worth
                                                                            +

                                                                            business within Sun Life.

                                                                            +
                                                                            • Partner with Regional Architecture teams to define the target state Architecture
                                                                            +

                                                                            iteratively and keep it current.

                                                                            +
                                                                            • Build Architectural roadmap to achieve target state Architecture and refresh the strategy
                                                                            +

                                                                            to align with the business, product, market, and distribution segment changes.

                                                                            +
                                                                            • Implement digital plans to optimize and automate the business processes, enable the
                                                                            +

                                                                            distributors, and offer efficient platform for customer interaction and transactions

                                                                            +
                                                                            • Participate in the Annual program and prioritization to move the technological
                                                                            +

                                                                            investment towards the target state architecture.

                                                                            +
                                                                            • Partner with Enterprise services, DBTS, Asia and US IT teams to understand technology
                                                                            +

                                                                            and application strategy and align High Net worth technology architecture.

                                                                            +
                                                                            • Bring outside Industry view into the architecture strategy by attending conferences,
                                                                            +

                                                                            seminars and hands-on workshop.

                                                                            +

                                                                            +

                                                                            What do you need to succeed?

                                                                            +
                                                                              +
                                                                            • Full stack knowledge with ability to communicate well, translate business logic to technical requirements
                                                                            • +
                                                                            • Expert knowledge in Python, Java/J2EE, API and Data integrations –
                                                                            • +
                                                                            +

                                                                            SME In API design, development and modern coding practices – cross platform development, front end

                                                                            +

                                                                            Analyze, design, develop, as well as implement RESTful services and APIs

                                                                            +
                                                                              +
                                                                            • Knowledge and experience in building IT architecture influenced by Business architecture
                                                                              • including Data, Application, Technical and Infrastructure Architecture
                                                                              +
                                                                            • +
                                                                            • Knowledge of Cloud architecture - AWS
                                                                            • +
                                                                            • Knowledge on SQL querying and BI solutions - Tableau
                                                                            • +
                                                                            • Knowledge of Agile, Design Thinking methodologies and techniques
                                                                            • +
                                                                            • Knowledge of IT governance, security, and risk management disciplines, understanding of digital transformation enablers, including Artificial Intelligence, Data & Analytics
                                                                            • +
                                                                            • Ability to work in a fast paced environment under tight timelines
                                                                            -

                                                                            -

                                                                            Who You Are

                                                                            +

                                                                            Qualifications

                                                                            +
                                                                            • Bachelor\'s Degree in Computer Science, Engineering, or a related field or equivalent
                                                                            +

                                                                            experience. A Master’s degree in Computer Science, or related field is highly desirable.

                                                                              -
                                                                            • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                                                            • -
                                                                            • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                                                            • -
                                                                            • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                                                            • -
                                                                            • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                                                            • -
                                                                            • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                            • -
                                                                            • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                            • -
                                                                            • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                            • -
                                                                            • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                            • +
                                                                            • 4+ years’ experience in designing IT architecture, API development and solutions engineering in multi-national companies with increasing responsibilities—experience in life insurance/ financial services business is a plus.
                                                                            • +
                                                                            • Expert in implementation of information technology integrations in a large
                                                                            -

                                                                            -

                                                                            What CIBC Offers

                                                                            -

                                                                            -

                                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                            +

                                                                            division/company

                                                                              -
                                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                            • -
                                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                            • -
                                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                            • +
                                                                            • Ability to design and implement scalable web solutions with high usability
                                                                            • +
                                                                            • Should possess the ability to network and leverage different centers of excellence and
                                                                            +

                                                                            shared service organizations within the larger organization and Asia in particular

                                                                            -

                                                                            *Subject to plan and program terms and conditions

                                                                            +

                                                                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                            -

                                                                            What you need to know

                                                                            -
                                                                              -
                                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                            • -
                                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                            • -
                                                                            +

                                                                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                            +

                                                                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                            +

                                                                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                            +

                                                                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                            -

                                                                            -

                                                                            Job Location

                                                                            161 Bay Street, 39th Floor

                                                                            -

                                                                            Employment Type

                                                                            Regular

                                                                            -

                                                                            Weekly Hours

                                                                            37.5

                                                                            -

                                                                            Skills

                                                                            Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2402312?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-02-12T06:29:01.720Z,False,0,1,39,https://talenthub.vectorinstitute.ai/jobs/303576645-director-treasury-quantitative-analytics-at-cibc,,expired,2024-02-01T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -6eacc786-c865-496f-b632-fd79caac3962,305243732,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-02-08T06:44:01.795Z,"
                                                                          +

                                                                          Salary Range:

                                                                          74,100/74 100 - 120,800/120 800

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          02/11/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Engineering-Lead_JR00086288-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-11-06T12:34:01.964Z,False,0,1,65,https://talenthub.vectorinstitute.ai/jobs/283724773-engineering-lead-at-sun-life-financial,,expired,2023-10-26T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +565f5bba-f842-453c-9a9c-19bfdc497b40,291128239,Sun Life Financial,"AVP, Data Science CoE",on_site,"Ontario, Canada",2023-11-27T12:29:03.396Z,"

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          Job Description:

                                                                          -

                                                                          Do you have a passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                          -

                                                                          The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                          -

                                                                          As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                          +

                                                                          Role Summary

                                                                          -

                                                                          You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                          -

                                                                          To achieve this, we will be leveraging many systems across Sun Life, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                          +

                                                                          Data and analytics are central to SunLife’s strategic priorities and purpose – critical enablers in our push to transform our business and drive market differentiating client experience and growth. The Chief Data & Analytics Office is an entrepreneurial team leading Sun Life Canada’s utilization of data as a strategic asset. We are fixated on delivering value to our clients & business, transforming our business, and evolving the capabilities & impact of our data & analytics programs.

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          Reporting to the Chief Data & Analytics Officer, the Assistant Vice President (AVP) Data Science CoE will lead a team responsible for delivering AI/ML solutions to create client and business value in support of Sun Life’s strategic purpose. This leader will champion AI/ML across our business, engaging our exec team and business community, leading the realization of AI/ML as a transformational force. In the role, the AVP will drive identification and prioritization of opportunities; oversee strategy, drive execution and measurement of impact, and manage the lifecycle of existing assets.

                                                                          +

                                                                          +

                                                                          The team focuses on the application of AI/ML in 3 key areas:

                                                                            -
                                                                          • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                          • -
                                                                          • Analytic work from requirements specification, data gathering, analysis of presentations to solve business problems.
                                                                          • -
                                                                          • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                          • -
                                                                          • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                          • -
                                                                          • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                          • -
                                                                          • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                          • -
                                                                          • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. -
                                                                          • -
                                                                          • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                                                          • +
                                                                          • Generative AI Program – building upon several experiments in the GenAI space, standing up a program to focus our efforts leveraging Generative AI across the Canadian business.

                                                                          • +
                                                                          • ‘One Sun’ initiatives – delivering solutions to support cross-business priorities, with a primary emphasis on understanding client behaviour and leveraging insights to support a unified client experience and client engagement.

                                                                          • +
                                                                          • Enabling specific business unit priorities – partner with business units to deliver solutions in support of their key priorities such as lead assignment, sales enablement & optimization, pricing and underwriting

                                                                          -

                                                                          What do you need to succeed?

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          +

                                                                          Leadership

                                                                            -
                                                                          • 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                          • -
                                                                          • 5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                          • -
                                                                          • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                          • -
                                                                          • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                          • -
                                                                          • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                          • -
                                                                          • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                          • -
                                                                          • Comfortable learning new applications and processes quickly with minimal direction
                                                                          • -
                                                                          • Ability to document work.
                                                                          • +
                                                                          • You are a strong people leader with deep experience attracting, engaging, and retaining data science talent.

                                                                          • +
                                                                          • Passionate about building a world class, high performing data science team that is obsessed with driving client & business outcomes.

                                                                          • +
                                                                          • You bring a combination of savvy, strategic mindset & delivery excellence. You are a thought leader that empowers others, encourages creativity and continuous improvement.

                                                                          -

                                                                          What will be nice to have?

                                                                          +

                                                                          Stakeholder Management

                                                                            -
                                                                          • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                          • -
                                                                          • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                          • -
                                                                          • Experience in Salesforce
                                                                          • -
                                                                          • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                          • -
                                                                          • Additional statistical programming languages (i.e SAS/R)
                                                                          • -
                                                                          • Advanced user of MS Excel and MS Access
                                                                          • +
                                                                          • Great communicator & relationship builder – you connect the dots and identify opportunities to collaborate and leverage AI & ML to support our purpose, drive client outcomes and deliver business value.

                                                                          • +
                                                                          • Business Partner – you bring strong business acumen, understanding & empathy necessary to uncover the art of the possible & pragmatic to build and implement solutions in partnership.

                                                                          • +
                                                                          • Executive savvy & change champion - You have experience navigating complex, matrixed organizations, leading with influence and driving change. Your gravitas inspires confidence in your ability to drive change

                                                                          • +
                                                                          • Technology collaborator – you build close partnership with technology teams and deliver in a CI/CD manner

                                                                          -

                                                                          Unique Requirements?

                                                                          +

                                                                          Demonstrated execution excellence delivering applied Machine Learning

                                                                            -
                                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                          • -
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                                                          • +
                                                                          • Drive execution excellence in AI/ML projects, ensuring they are completed on time and within budget.

                                                                          • +
                                                                          • Implement best practices and agile methodologies to optimize project execution and delivery.

                                                                          • +
                                                                          • New Build – You pragmatically take a problem to outcome, coordinating the build and design of AI & ML solutions at scale. You ensure model are robust, accurate, and scalable for real-world applications You have experience navigating regulatory and risk management practices common in financial institutions.

                                                                          • +
                                                                          • Solution Sherpa – you coach and guide your team & our partners through the development of innovative solutions, empowering the team, while being willing and capable to get into the weeds if necessary. Your hands on experience commands respect from your team

                                                                          • +
                                                                          • Innovator – you foster a culture of innovation and experimentation to identify new opportunities for AI/ML applications. You stay at the forefront of AI/ML trends and research to drive innovation

                                                                          • +
                                                                          • Model Management – you manage a complex roster of models & address the complexities of model lifecycle management across legacy analytical platforms. You Implement rigorous quality assurance processes to ensure the reliability and safety of AI/ML systems. You establish measurement and monitoring systems to track the performance of AI/ML solutions. You Implement continuous improvement processes based on data-driven insights.

                                                                          • +
                                                                          • Outcome obsession – you are fixated on driving impact, have demonstrated the enormous power and potential brought by AI & ML, and have implemented value driven prioritization & post facto measurement

                                                                          • +
                                                                          • Vendor and Partner Management - Evaluate and manage third-party vendors and partnerships for AI/ML solutions.

                                                                          -

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          +

                                                                          Credentials

                                                                            -
                                                                          • Great Place to Work® Certified in Canada and the US - 2022
                                                                          • -
                                                                          • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                          • -
                                                                          • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                          • -
                                                                          • Canada Award for Excellence for Mental Health at Work
                                                                          • -
                                                                          • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.
                                                                          • +
                                                                          • You have 10+ years of hands on data science/advanced analytics experience, 5+ years in people leadership.

                                                                          • +
                                                                          • Proven track record delivering in large organizations, insurance & financial services experience will be an asset but not required.

                                                                          • +
                                                                          • Experience in leading high performing teams and professional knowledge workers.

                                                                          • +
                                                                          • Advanced degree in quantitative field or business (MBA) is an asset.

                                                                          -

                                                                          #LI-Hybrid #LI-remote

                                                                          -

                                                                          +

                                                                          Reasons why should you join us under the sun

                                                                          +
                                                                            +
                                                                          • We’re honoured to be recognized as a 2023 Best Workplaces in Ontario by Great Place to Work® Canada

                                                                          • +
                                                                          • We’re proud to be recognized as a company with a 2023 Most Trusted Executive team by Great Place to Work® Canada

                                                                          • +
                                                                          • Sun Life ranked one of the 2023 Global 100 Most Sustainable Corporations in the World on the Corporate Knights’ 2023

                                                                          • +
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                          • +
                                                                          • A caring, supportive, and inclusive culture

                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family.

                                                                          • +
                                                                          • Wellness programs that support the three pillars of your health – mental, physical, and financial

                                                                          • +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          @@ -63884,1246 +64442,1306 @@ a7a9cd1d-47d2-4c7b-8d9a-714f26238cfd,303576645,CIBC,"Director, Treasury Quantita

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          +

                                                                          Salary Range:

                                                                          140,000/140 000 - 230,000/230 000

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          08/02/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00089806?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-12T06:49:02.600Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/305243732-senior-data-analyst-at-sun-life-financial,,expired,2024-02-08T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6b4ebafd-effd-4d70-b19e-13f1c2d4aff2,308084618,NVIDIA,"Solutions Architect Intern, AI – Summer 2024",full,Canada,2024-02-22T19:45:11.580Z,"

                                                                          Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect Intern to join our team in Canada and help customers solve challenging problems using AI!

                                                                          -

                                                                          -

                                                                          Solutions Architects are the primary technical contacts for our customers and engage deeply with scientific researchers and application developers. We need individuals who can develop positive relationships with researchers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to foster machine learning technical engagements with AI Institutions in Canada. You should be comfortable working in a dynamic environment, and your ability to work independently is important.

                                                                          +

                                                                          Posting End Date:

                                                                          10/12/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Data-Science-CoE_JR00088242?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-11T12:36:03.622Z,False,0,1,81,https://talenthub.vectorinstitute.ai/jobs/291128239-avp-data-science-coe-at-sun-life-financial,,expired,2023-11-27T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +628d98c0-3a2c-4ff6-a2fb-6aaad214efa5,291845873,Sun Life Financial,Capacity Planning Analyst,on_site,"Ontario, Canada",2023-11-30T12:29:02.509Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          What you’ll be doing:

                                                                          -
                                                                            -
                                                                          • Engage with AI researchers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs.
                                                                          • -
                                                                          • Facilitate AI research activities on the NVIDIA platform.
                                                                          • -

                                                                          -

                                                                          What we need to see:

                                                                          -
                                                                            -
                                                                          • Pursuing a BS, MS, or PhD in Computer Science, Engineering, or related field.
                                                                          • -
                                                                          • Experience with modern deep learning software architectures and frameworks including TensorFlow, PyTorch, JAX, or other deep learning frameworks.
                                                                          • -
                                                                          • Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran.
                                                                          • -
                                                                          • Experience with GPUs.
                                                                          • +

                                                                            Job Description:

                                                                            +

                                                                            Capacity Planning Analyst, Workforce Management

                                                                            +

                                                                            Position Summary

                                                                            +

                                                                            At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                                                            +

                                                                            +

                                                                            Are you someone who is passionate about data, with superior analytical skills?

                                                                            +

                                                                            We are looking for someone to work with operational partners to plan optimal resourcing. In this role, you will use projected work volumes and staffing data to create a future-looking plan to address the staffing needs of different business units. You will be in frequent contact with those business units, working with them to update the plan, optimize based on several business constraints, analyze the impact of internal and external factors, and provide recommendations on potential solutions. Your work will drive operational decision-making about staffing levels. The role requires creative problem-solving, teamwork, excellent communication and presentation skills, a willingness to try new techniques, and the ability to handle several diverse and concurrent projects.

                                                                            +

                                                                            +

                                                                            What Will You Do?

                                                                            +
                                                                              +
                                                                            • Create, maintain, and update capacity plans including timing of hiring and analysis on attrition, shrinkage and other factors impacting capacity
                                                                            • +
                                                                            • Support operations in planning of vacations, training, and other events
                                                                            • +
                                                                            • Support the creation of an annual staffing budget forecast
                                                                            • +
                                                                            • Collect, manipulate, and analyze data related to capacity, supply, and demand
                                                                            • +
                                                                            • Gather information from operations on project impacts and other factors that could impact planning or work volumes
                                                                            • +
                                                                            • Calculate optimal staffing levels based on forecasts, capacity models, and business constraints
                                                                            • +
                                                                            • Measure, assess and communicate variations from plan, including analysis of the cause and impact to KPIs of those differences
                                                                            • +
                                                                            • Support the balance of staffing needs across different business units
                                                                            • +
                                                                            • Work within a team to provide analysis, insights and recommendations to senior business leaders to help them recognize areas of opportunity and drive evidence-based operational decisions
                                                                            • +
                                                                            • Work with forecasters, schedulers, and intraday analysts to refine plans and ensure continuity of resourcing
                                                                            • +
                                                                            • Provide project teams with process recommendations, workload/staffing forecasts and costs as required to support changes
                                                                            • +
                                                                            • Look for ways to innovate and improve processes in a Continuous Improvement environment
                                                                            • +
                                                                            +

                                                                            +
                                                                            • Knowledge, Experience and Skills
                                                                                +
                                                                              • Bachelor degree (minimum) in Statistics, Operations Research, Computer Science, Software Engineering, Mathematics, Econometrics, or equivalent experience
                                                                              • +
                                                                              • Experience analyzing and modeling business process data
                                                                              • +
                                                                              • Strong critical thinking & creative problem solving
                                                                              • +
                                                                              • Demonstrated experience working with data, including transformation, manipulation, forecasting, and statistical modeling
                                                                              • +
                                                                              • Experience working with time series data
                                                                              • +
                                                                              • Familiarity with querying data using SQL
                                                                              • +
                                                                              • Demonstrated success working collaboratively within a team to produce results
                                                                              • +
                                                                              • Ability to effectively visualize and present complex data adapted to a variety of audiences to support decision-making
                                                                              • +
                                                                              • Demonstrated ability to produce and communicate meaningful results from data
                                                                              • +
                                                                              • Ability to build partnerships, work collaboratively, and develop relationships with a variety of stakeholders
                                                                              • +
                                                                              • Demonstrated ability to turn forecast volumes into capacity models
                                                                              +

                                                                            -

                                                                            Ways to stand out from the crowd:

                                                                            -
                                                                              -
                                                                            • Excellent knowledge of theory and practice of reinforcement learning.
                                                                            • -
                                                                            • CUDA/GPU optimization experience.
                                                                            • -
                                                                            • Strong analytical and problem-solving skills.
                                                                            • +
                                                                              • Assets
                                                                                • Experience with the following:
                                                                                    +
                                                                                  • Visualizing data with Tableau
                                                                                  • +
                                                                                  • R/Python or other advanced analytics tools
                                                                                  • +
                                                                                  • Workforce Management Software (IEX, Genesys, Pega)
                                                                                  • +
                                                                                  • Utilizing large databases with complex relationships between tables
                                                                                  • +
                                                                                  • Applying queueing theory to business problems
                                                                                  • +
                                                                                  • Solving optimization problems
                                                                                  • +
                                                                                  • Erlang calculations
                                                                                  • +
                                                                                  • Supporting Call Centres, Back-end Support teams along with relevant data
                                                                                  +
                                                                                +
                                                                              +

                                                                              Unique Requirements

                                                                              +
                                                                              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                              -

                                                                              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

                                                                              +

                                                                              To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                              +

                                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                              -

                                                                              The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                              -

                                                                              You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                              -

                                                                              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Solutions-Architect-Intern--AI---Summer-2024_JR1974863,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-03-14T18:58:00.000Z,False,0,41,195,https://talenthub.vectorinstitute.ai/jobs/308084618-solutions-architect-intern-ai-summer-2024-at-nvidia,,expired,2024-02-22T19:45:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, -06057a3d-5932-4f7b-a9fb-f16f4f6d8cca,306574225,Vector Institute,"Director, Data Strategy and Partnerships",on_site,"Ontario, Canada",2024-02-15T06:42:02.093Z,"

                                                                              POSITION SUMMARY

                                                                              -

                                                                              Director, Data Strategy and Partnerships

                                                                              -

                                                                              The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to working across sectors to advance AI application, adoption, and commercialization across Canada.

                                                                              -

                                                                              The Vector Institute is seeking a Director, Data Strategy and Partnerships to join our team in Toronto. Reporting to the Chief Data Officer, the successful candidate will work cross-functionally across Vector’s Health and Technology, Industry, AI Engineering, and Research and Academic Operations work streams and with external stakeholders to:

                                                                              -
                                                                                -
                                                                              • Lead the evolution and implementation of Vector’s data strategy;

                                                                              • -
                                                                              • Foster existing and new data partnerships with public and private sector stakeholders to further Vector’s mission; and,

                                                                              • -
                                                                              • Lead Vector’s data governance program spanning Vector’s private and secure Data and Analytics Environments and business operations.

                                                                              • -
                                                                              +

                                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                              +

                                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                              +

                                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                              -

                                                                              Profile of the Ideal Candidate

                                                                              -

                                                                              A results-driven and strategic thinker who understands the AI product life cycle and the complexities of accessing sensitive data for the purposes of AI and ML research, innovation, and education. You have a strong track record of identifying and fostering collaborative data sharing partnerships and experience driving continuous quality improvement of policies, processes, and implementation of data governance, management, and privacy best practices.

                                                                              -

                                                                              You are an effective team leader, with experience leading highly qualified and diverse staff to work together on common goals and successfully meet and advance business objectives. Your leadership and interpersonal skills allow you to navigate, develop, and nurture relationships with internal and external stakeholders. You are comfortable representing Vector as a thought leader in this space at events and in the media.

                                                                              -

                                                                              Key Responsibilities

                                                                              -
                                                                                -
                                                                              • Lead the evolution and implementation of Vector’s data strategy;

                                                                              • -
                                                                              • Identify, establish, and evolve partnerships between Vector and data holding organizations;

                                                                              • -
                                                                              • Drive data sharing projects between Vector and its public and private sector partners;

                                                                              • -
                                                                              • Lead on data governance best practices and legal requirements for sensitive data to be used in AI/ML discovery;

                                                                              • -
                                                                              • Oversee the development and operationalization of organizational data governance, stewardship and management policies, standard operating procedures, and best practices;

                                                                              • -
                                                                              • Provide leadership to, and supervise the portfolio of a Project Manager and Data Steward in executing respective responsibilities and advancement of deliverables; and,

                                                                              • -
                                                                              • Other related duties as assigned.

                                                                              • -
                                                                              -

                                                                              -


                                                                              -

                                                                              Key Success Measures

                                                                              -

                                                                              -
                                                                                -
                                                                              • High impact data assets are available to Vector’s community for AI research, innovation, and education activities.

                                                                              • -
                                                                              • Streamlined operational and sustainable data governance best practices .

                                                                              • -
                                                                              • Stakeholder feedback, via informal and formal feedback mechanisms to ensure that Vector’s investments in data and infrastructure add value to the AI ecosystem.

                                                                              • -
                                                                              • AI projects, led by Vector and others, that turn data into knowledge and benefit society .

                                                                              • -
                                                                              • Contribution of Vector’s data strategy to Vector’s vision and mission through close coordination with its work streams and stakeholders.

                                                                              • -
                                                                              -

                                                                              -

                                                                              Skills and Experience

                                                                              -


                                                                              -
                                                                                -
                                                                              • Holds, at minimum, a graduate degree in a business, AI/ML, health, technical, or related field.

                                                                              • -
                                                                              • Minimum five years of experience successfully managing all operational aspects of a data strategy and/or data management program, ideally in the technology sector(s).

                                                                              • -
                                                                              • Demonstrated success with implementation of organizational strategic plans and effective business processes including evaluation and prioritization of opportunities.

                                                                              • -
                                                                              • In-depth knowledge of data governance and legal requirements as they relate to use of sensitive data (including health) to advance AI/ML research, innovation, and education activities.

                                                                              • -
                                                                              • An understanding of responsible AI and benefits of applied AI research to society.

                                                                              • -
                                                                              • Experience with working with multi-disciplinary stakeholders, prioritizing conflicting needs, managing limited resources, building multi-disciplinary project teams, handling matters expeditiously, and following through on tasks to successful completion.

                                                                              • -
                                                                              • Experience in people management is considered an asset.

                                                                              • -
                                                                              • Possesses exceptional verbal and written English communication skills, effective in presenting to a diverse set of stakeholders.

                                                                              • -
                                                                              • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and is motivated by continuous learning and the desire to make a difference and a real contribution to development and deployment of safe and trustworthy AI.

                                                                              • -
                                                                              -



                                                                              -

                                                                              At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                              -

                                                                              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                              ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478892&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-03-16T20:30:42.185Z,False,0,6,137,https://talenthub.vectorinstitute.ai/jobs/306574225-director-data-strategy-and-partnerships-at-vector-institute,,expired,2024-02-15T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Director,Masters Degree,New Posting, -a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-15T16:04:02.940Z,"
                                                                              -
                                                                              -

                                                                              Qualifications

                                                                              -
                                                                              • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
                                                                              • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
                                                                              • Minimum 5 years related work experience in manufacturing environment.
                                                                              • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
                                                                              • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
                                                                              • Computer literacy in business applications and knowledge of ERP systems.
                                                                              • Excellent organizational, planning, and English communication skills.
                                                                              • Exceptional analytical and creative problem-solving skills.
                                                                              • -
                                                                              -
                                                                              -
                                                                              -

                                                                              DESIRABLE ADDITIONAL QUALIFICATIONS

                                                                              -

                                                                              • Experience with Solidat MES.
                                                                              • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
                                                                              • Automotive manufacturing background, preferably within Magna.
                                                                              • Experience with Intermec label printers and Zebra scanners.
                                                                              • Exposure to ERP systems such as SAP, QAD or Trans4m.
                                                                              • Automotive manufacturing experience

                                                                              -
                                                                              -
                                                                              -

                                                                              MAIN TASKS & RESPONSIBILITIES

                                                                              -

                                                                              • Design, develop and implement applications based on customer requirements.
                                                                              • Overall responsibility for Kepware and SQL servers along with related applications.
                                                                              • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
                                                                              • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
                                                                              • Contribute to continuous improvement and cost reduction activities.
                                                                              • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
                                                                              • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
                                                                              • Actively participates in continuous improvement
                                                                              • Maintain 5S standards in working environment
                                                                              • Attend training based on Mytox’s internal training matrix
                                                                              • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
                                                                              • Performs other duties as assigned or any reasonable request by management.

                                                                              -
                                                                              -
                                                                              -

                                                                              Additional Information

                                                                              -

                                                                              Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                              -
                                                                              -
                                                                              -

                                                                              Awareness. Unity. Empowerment.

                                                                              -

                                                                              At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                              -
                                                                              -
                                                                              ",,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-16T01:25:41.899Z,False,0,5,72,https://talenthub.vectorinstitute.ai/jobs/236452843-programmer-at-magna-international,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/,expired,2023-06-15T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -35465711-f06c-49f5-815d-2e11df4ef928,243217434,CN,Expert Data Platform Architect,on_site,"Ontario, Canada",2023-07-05T02:18:02.938Z,"
                                                                              +

                                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                              -
                                                                              At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                              -

                                                                              -
                                                                              Job Summary
                                                                              -
                                                                              -

                                                                              CN Data Services (CNDS) is seeking an Expert Data Platform/Systems Architect to lead the delivery of critical Data Platform solutions. As a full stack architect, you will lead the architecture of cloud data platforms and to drive the creation industry leading cloud data platform.

                                                                              -

                                                                              You will define practical architectures that ensure the performance, scalability, cost and maintainability of complex distributed systems that will support the business needs and that will align with the CN directions and standards.

                                                                              -

                                                                              You will also contribute to the definition of strategic technology directions and define continuous improvement objectives in collaboration with CN Data Services leadership team

                                                                              -
                                                                              -
                                                                              Main Responsibilities
                                                                              -

                                                                              -
                                                                              Data Platform Architecture and Delivery
                                                                              -

                                                                              · Lead the delivery of Canadian National Data Services (CNDS) initiatives including the data platform and operational data products

                                                                              · Create systems architectures and modernization strategies related to data platforms

                                                                              · Complete systems integrations and ingestion design patterns, Data Lake, Data Lake House, and Data Warehouse architecture along with target and transitions architectures and roadmaps

                                                                              · Design and optimize platform and integration strategies for the cost-effective delivery of scalable and reliable distributed systems

                                                                              · Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products

                                                                              · Work with Enterprise Architecture to align and introduce new solutions and technologies

                                                                              · Work with Solution Architects to ensure the data platform is integrated into a solution efficiently

                                                                              Data Platform Architecture Practice Evolution

                                                                              · Evaluate current and emerging technologies

                                                                              · Lead the CNDS team, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality

                                                                              · Define architecture and engineering standards, patterns and best practices

                                                                              · Influence CNDS leadership with effective communication of proposals, directions and strategic decision making

                                                                              Working Conditions

                                                                              The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (up to 10%), within Canada and the United States (U.S.).

                                                                              Requirements

                                                                              Experience

                                                                              Data Architecture

                                                                              · Minimum 12 years of experience with applications, data, and cloud

                                                                              o Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing

                                                                              o Minimum 3 years of experience as senior architect using cloud technologies and big data technologies including data analytics

                                                                              Education/Certification/Designation

                                                                              · Bachelor’s Degree in a technology-related field or equivalent experience

                                                                              Competencies

                                                                              · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                              · Applies analytical thinking

                                                                              · Innovates through problem solving

                                                                              · Knows the business and stays current with industry trends to elevate expertise and work

                                                                              · Demonstrates organizational abilities

                                                                              · Collaborates with key internal stakeholders to enable higher productivity

                                                                              · Works independently with little supervision

                                                                              Technical Skills/Knowledge

                                                                              -
                                                                              +

                                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                              -

                                                                              § Strong Experience architecting and building enterprise grade products

                                                                              -

                                                                              § Strong Experience with Azure and GCP cloud Data Platforms, Data Analytics and Data Engineering

                                                                              -

                                                                              o Azure Databricks is a must

                                                                              -

                                                                              o Azure Data Lake Gen2

                                                                              -

                                                                              o Azure Data Factory

                                                                              -

                                                                              o Azure Data Explorer

                                                                              -

                                                                              o Azure KeyVault

                                                                              -

                                                                              o Azure Event Hub and Event Grid

                                                                              -

                                                                              o Google BigQuery

                                                                              -

                                                                              o Google Dataproc

                                                                              -

                                                                              o Google Cloud Data Fusion

                                                                              -

                                                                              o Google Dataflow

                                                                              -

                                                                              o Google Cloud Composer

                                                                              -

                                                                              o Google Dataprep

                                                                              -

                                                                              o Google Dataplex

                                                                              -

                                                                              o Google BigLake

                                                                              -

                                                                              o Google Storage

                                                                              -

                                                                              o Google Key Management

                                                                              -

                                                                              o Google Vertex

                                                                              -

                                                                              § Strong Experience with data and analytics architectures and concepts

                                                                              -

                                                                              o Batch and streaming cloud architectures

                                                                              -

                                                                              o Lambda architecture

                                                                              -

                                                                              o Kappa architecture

                                                                              -

                                                                              o ETL and ELT pipelines

                                                                              -

                                                                              o Data and Analytics cloud architecture

                                                                              -

                                                                              o Lake House Architecture

                                                                              -

                                                                              o Data Fabric

                                                                              -

                                                                              o Data Mesh

                                                                              -

                                                                              o Cloud Data Warehouse

                                                                              -

                                                                              § Distributed Systems & Enterprise Messaging Architecture

                                                                              -

                                                                              o Experience with Async Communications and Reliable Messaging

                                                                              -

                                                                              o Experience with Event Driven Architecture - Pub-Sub, Kafka, MQ, MQTT, AMQP, Event Hub, Logstash

                                                                              -

                                                                              § A2A & B2B Integration Architecture

                                                                              -

                                                                              o Experience with SOA architecture, patterns and implementation

                                                                              -

                                                                              o Experience with Integration of Transactions, Data, Streaming, Batch, Files, APIs

                                                                              -

                                                                              § Data & Database Architectures

                                                                              -

                                                                              o Domain Driven Design data modeling

                                                                              -

                                                                              o OLTP/OLAP

                                                                              -

                                                                              o SQL, NoSQL, Document (MongoDB), Graph, Search

                                                                              -

                                                                              o Caching – Hazelcast, Redis

                                                                              -

                                                                              § Cloud Architecture is an asset

                                                                              -

                                                                              o Experience architecting/operating solutions build on Azure, GCP, others

                                                                              -

                                                                              o Experience with IaaS, PaaS, SaaS systems

                                                                              -

                                                                              o Experience with infrastructure, networking and security in cloud-based delivery models

                                                                              -

                                                                              § DevOps architecture is an asset

                                                                              -

                                                                              o Experience working with DevOps, CI/CD/CT – Azure DevOps, GitHub, GitLab

                                                                              -

                                                                              § Experience with AI/ML technologies is an asset

                                                                              -

                                                                              § Experience in program & project scoping and planning with Agile process and tools

                                                                              -

                                                                              § Experience in delivering agile and iterative architectures

                                                                              -

                                                                              § Experience with Legacy Systems Modernization (Mainframe, Java, IIB, DataStage, Netezza) is a plus

                                                                              -

                                                                              -
                                                                              About CN
                                                                              -

                                                                              -
                                                                              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                              -

                                                                              -
                                                                              For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                              -

                                                                              +

                                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                              +

                                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                              -

                                                                              -

                                                                              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                              -
                                                                              ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10919?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-07-18T00:46:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/243217434-expert-data-platform-architect-at-cn,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -070637bb-8992-40dd-ad28-47e6a5dac29e,243155637,Sun Life Financial,Senior Data Scientist (Health),on_site,"Toronto, ON, Canada",2023-07-04T17:57:36.419Z,"

                                                                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                              +

                                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                              +

                                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                              -

                                                                              Job Description:

                                                                              +

                                                                              Salary Range:

                                                                              53,800/53 800 - 87,400/87 400

                                                                              +

                                                                              Job Category:

                                                                              Advanced Analytics

                                                                              +

                                                                              Posting End Date:

                                                                              10/12/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Capacity-Planning-Analyst_JR00086678?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-11T12:36:03.622Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/291845873-capacity-planning-analyst-at-sun-life-financial,,expired,2023-11-30T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2ade5a05-e69a-4ba2-a5a6-4b18d0e748cd,290389857,BMO Financial Group,"Manager, Business Analytics",on_site,"Ontario, Canada",2023-11-23T12:19:02.044Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          12/21/2023

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          To provide analytics and information to senior management to enhance their ability to make fully informed business decisions. Through a deep understanding of the business and its environment, provide integrated measurement and analysis of performance across all TPS products. Link product and client analytics to financial results, develop and track key metrics, prepare monthly performance review decks and coordinate board-level reports and initiative tracking. Provide oversight and guidance to the planning process across lines of business, Product, Sales and Finance partners. Participate in cross-product projects and represent the group in inter-LOB initiatives. Act as a subject matter expert on accounting-related issues and drive annual TSA update activities.

                                                                          +

                                                                          +

                                                                          Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

                                                                          +
                                                                            +
                                                                          • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques.
                                                                          • +
                                                                          • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
                                                                          • +
                                                                          • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                          • +
                                                                          • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
                                                                          • +
                                                                          • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
                                                                          • +
                                                                          • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                          • +
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • +
                                                                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Qualifications:

                                                                          +

                                                                          Foundational level of proficiency:

                                                                          +
                                                                            +
                                                                          • Technical design optimization.
                                                                          • +
                                                                          • Decision Making.
                                                                          • +
                                                                          • Systems Thinking.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Intermediate level of proficiency:

                                                                          +
                                                                            +
                                                                          • Data visualization.
                                                                          • +
                                                                          • Data storytelling.
                                                                          • +
                                                                          • Data mining.
                                                                          • +
                                                                          • Illustration.
                                                                          • +
                                                                          • Creative thinking.
                                                                          • +
                                                                          • Problem Solving.
                                                                          • +
                                                                          • Verbal & written communication skills.
                                                                          • +
                                                                          • Collaboration & team skills.
                                                                          • +
                                                                          • Analytical and problem solving skills.
                                                                          • +
                                                                          • Data driven decision making.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Advanced level of proficiency:

                                                                          +
                                                                            +
                                                                          • Insights design.
                                                                          • +
                                                                          • Insights development and reporting.
                                                                          • +
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • University graduate, CPA (CMA/CGA/CA) designation

                                                                          • +
                                                                          • 3-5 years finance related experience, with thorough understanding of financial concepts and terminology

                                                                          • +
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Business-Analytics_R230018173?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-12-14T06:30:02.535Z,False,0,2,104,https://talenthub.vectorinstitute.ai/jobs/290389857-manager-business-analytics-at-bmo-financial-group,,expired,2023-11-23T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +39b775c6-a0b5-4a24-9e7a-e9e9e48196b0,291845869,Accenture,"Manager, Customer Analytics and Personalization",on_site,"Toronto, ON, Canada",2023-11-30T12:27:01.905Z,"
                                                                          +

                                                                          Job Description

                                                                          +
                                                                          +

                                                                          WHO WE ARE:

                                                                          Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song

                                                                          +


                                                                          There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Here’s a snapshot of your responsibilities:

                                                                          +

                                                                          +

                                                                          THE WORK:

                                                                          +

                                                                          +
                                                                          • Lead teams that will perform assessments, develop strategies, and deliver roadmaps to help clients understand their current customer analytics capabilities and opportunities.

                                                                          • Lead teams and manage clients through the deployment of customer analytics platforms (i.e. Adobe Analytics, Google Analytics, Tealium, Braze, etc.) across digital properties including mobile web and apps.

                                                                          • Develop measurement strategies that tie organizational objectives to digital measurement solutions and communicate the value of solutions to a senior client audience.

                                                                          • Manage the strategic deployment tagging for digital analytics, paid media, and 3rd party applications.

                                                                          • Support business development and solutioning (i.e. proposal writing, RFP responses, etc.)

                                                                          • Help businesses evolve organizational processes to better leverage data and insights.

                                                                          • +
                                                                          show more show less
                                                                          +

                                                                          Qualifications

                                                                          +

                                                                          HERE’S WHAT YOU’LL NEED:

                                                                          +

                                                                          +
                                                                          • + 5+ years of experience in digital marketing and customer analytics. +
                                                                          • + 5+ years of experience using, implementating, and managing the collection and activation of data across systems. +
                                                                          • + Proven ability to bring a strategic mindset and deep thinking across sales and delivery. +
                                                                          • + Experience with digital analytics, CDP, and tag management solutions and the differences between providers (ex: Adobe, SFMC, Google, Tealium, Segment, etc.) +
                                                                          • + Experience performing advanced analytics on digital data sources (e.g., digital analytics data, digital advertising data, audience data, social data, search data, etc.) +
                                                                          • + Experience with test and learn strategies, configuring optimization tools and deploying testing programs for campaigns and brand experiences. +
                                                                          • + English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement. +
                                                                          • + Bachelor\'s degree or equivalent work experience. +
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          BONUS POINTS IF:

                                                                          +

                                                                          +
                                                                          • + Ability to communicate measurement and data-oriented business objectives to a senior audience. +
                                                                          • + Technical understanding of how digital analytics and tag management solutions are deployed. +
                                                                          • + Ability to manage deployments and strategically advise on future data collection and measurement solutions. +
                                                                          • + Passionate about data, analytics and technology (ex: avid consumer of TED talks and Wired Magazine). +
                                                                          • + Experience with client-facing projects ideally in consulting, agency or other business-related services. +
                                                                          • + Experience helping organizations with data strategy and architecture for marketing activation. +
                                                                          • + Experience with media mix and attribution programs. +
                                                                          • + Experience developing reporting and advancing data visualization capabilities with new or existing tools (e.g. Tableau, Qlik, PowerBI, etc.) +
                                                                          • + Experience with data and analytic tools such as such as SQL, Excel-pivot tables, SAS, UNIX. +
                                                                          • + Solid Knowledge of data integration techniques and processes (Data matching & key vendors, data fusion & key partners, etc.) +
                                                                          • + Proven ability to work creatively and analytically in a problem-solving environment. +
                                                                          • + Strong attention to detail. +
                                                                          • + Desire to work in an information systems environment. +
                                                                          • + Excellent communication (written and oral) and interpersonal skills. +
                                                                          • + Ability to take complex solutions and make them simple to explain and digest. +
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

                                                                          +

                                                                          Information on benefits is here.

                                                                          +

                                                                          Role Location Annual Salary Range

                                                                          +

                                                                          British Columbia $89,500 to $178,400

                                                                          +

                                                                          +

                                                                          #LI-NA

                                                                          +

                                                                          #LI-MP

                                                                          +
                                                                          +

                                                                          Locations

                                                                          +
                                                                          Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                                                                          +
                                                                          +
                                                                          +

                                                                          +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                                                                          +
                                                                          +

                                                                          Our Commitment to Inclusion & Diversity

                                                                          +

                                                                          At Accenture, inclusion and diversity are fundamental to our culture and embedded in our core values. We are committed to creating a workforce where our people can feel comfortable, be themselves and contribute. Like Canada itself, Accenture employees represent a tremendous variety of cultures, ethnicities, beliefs, backgrounds and languages. We offer an inclusive environment regardless of personal characteristics such as ethnicity, religion, gender, sexual orientation, gender identity or expression, age or disability.

                                                                          +

                                                                          Requesting An Accommodation

                                                                          +

                                                                          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                                                          +

                                                                          If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

                                                                          +

                                                                          Other Employment Statements

                                                                          +

                                                                          It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

                                                                          +

                                                                          Job candidates are not required to disclose any offence for which a pardon has been granted.

                                                                          +
                                                                          +
                                                                          +
                                                                          Share
                                                                          +
                                                                          Share
                                                                          +
                                                                          Job Link:
                                                                          Copy
                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00170436_en&title=Manager%2C%20Customer%20Analytics%20and%20Personalization,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-12-14T06:45:01.913Z,False,0,2,54,https://talenthub.vectorinstitute.ai/jobs/291845869-manager-customer-analytics-and-personalization-at-accenture,,expired,2023-11-30T12:27:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +5c8b62db-24a8-4ee9-a640-a38fbc8c7f17,286549896,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2023-11-09T12:29:03.754Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          Role Summary

                                                                          -

                                                                          To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                                                          +

                                                                          Reporting to the Director, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                                                          +

                                                                          Sun Life views success in this role in demonstration of these key attributes:

                                                                          +

                                                                          Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-

                                                                          +

                                                                          depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                                                          -

                                                                          The DSA team is responsible for:

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Being the analytics translators to identify and deliver high-impact data science use cases
                                                                          • -
                                                                          • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                                                          • -
                                                                          • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
                                                                          • -
                                                                          • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making
                                                                          • +
                                                                          • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.
                                                                          • +
                                                                          • Be able to work in cross functional teams to develop an ML/data science product
                                                                          • +
                                                                          • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan
                                                                          • +
                                                                          • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.
                                                                          • +
                                                                          • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling
                                                                          • +
                                                                          • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.
                                                                          • +
                                                                          • Make business recommendations with effective presentations of findings at multiple levels of stakeholders
                                                                          • +
                                                                          • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life
                                                                          • +
                                                                          • Champion and support diversity and inclusion

                                                                          -

                                                                          The Senior Data Scientist’s primary focus is to lead the data and analytics initiatives for digital health products. in this role, you will be a thought partner and work closely with the assigned portfolio to assess data and analytics requirements. You will need to gain an in-depth understanding of the business needs, overall objectives and goals of different health initiatives, in order to propose use cases, ideas and solutions that enable the success of the relevant products.

                                                                          -

                                                                          -

                                                                          What Will You Do?

                                                                          +

                                                                          What will you need to succeed?

                                                                            -
                                                                          • Work with product to provide data and analytics expertise during discovery and to ensure analytics requirements are in place for new features/enhancements
                                                                          • -
                                                                          • Work with operations to ensure ongoing data needs are met by dashboards and to assess data and analytics ad-hoc needs
                                                                          • -
                                                                          • Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
                                                                          • -
                                                                          • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
                                                                          • -
                                                                          • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
                                                                          • -
                                                                          • Develop and present reporting solutions to key stakeholders and partners
                                                                          • -
                                                                          • Learn about business processes to analyze, interpret, and advise managers on analytical findings
                                                                          • -
                                                                          • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                                                          • -
                                                                          • Understand and incorporate technology best practices with a primary focus on Tableau and Python
                                                                          • -
                                                                          • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
                                                                          • +
                                                                          • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
                                                                          • +
                                                                          • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
                                                                          • +
                                                                          • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
                                                                          • +
                                                                          • Proficient in using one or more statistical programming languages (i.e., Python) for data science
                                                                          • +
                                                                          • Experience with AWS services including SageMaker
                                                                          • +
                                                                          • Experience with machine learning including supervised and unsupervised models
                                                                          • +
                                                                          • Demonstrated experience in data transformation & data manipulation
                                                                          • +
                                                                          • Experience working with Structured vs. Unstructured data
                                                                          • +
                                                                          • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable
                                                                          • +
                                                                          • Effective and concise oral and written storytelling and insights communication skills
                                                                          • +
                                                                          • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
                                                                          • +
                                                                          • Ability to document work and effectively prioritize documentation
                                                                          • +
                                                                          • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                                                          -

                                                                          What Do You Need To Succeed?

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • Coding experience preferably in Python (minimum 3 years)
                                                                          • -
                                                                          • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
                                                                          • -
                                                                          • Familiar with data science project life cycle
                                                                          • -
                                                                          • Strong problem solving and analytical skills
                                                                          • -
                                                                          • Demonstrated ability to produce meaningful results from data
                                                                          • -
                                                                          • Proven experience consolidating and analyzing data sources
                                                                          • -
                                                                          • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                                                          • -
                                                                          • Comfortable learning new applications quickly with minimal direction
                                                                          • -
                                                                          • Proven ability to work collaboratively within a cross functional team environment
                                                                          • -
                                                                          • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                                                          • -
                                                                          • Attention to detail and in-depth planning, organizational and time management skills
                                                                          • -
                                                                          • Experience working with relational databases and creating data models with efficient design
                                                                          • -
                                                                          • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
                                                                          • -
                                                                          • Experience with AWS SageMaker would be an asset.
                                                                          • -
                                                                          • Experience in healthcare and familiarity with health data would be an asset.
                                                                          • +
                                                                          • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
                                                                          • +
                                                                          • Past experience working in Agile delivery model
                                                                          • +
                                                                          • Past experience in developing and deploying production grade model in cloud infrastructure

                                                                          Unique Requirements

                                                                          +

                                                                          The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                          +

                                                                          +

                                                                          +

                                                                          What\'s in it for you?

                                                                            -
                                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                          • -
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                                                          • +
                                                                          • Remote/ Hybrid Work environment
                                                                          • +
                                                                          • Competitive salary and bonus structure influenced by market range data
                                                                          • +
                                                                          • 20 days vacation per year and an innovative sabbatical program
                                                                          • +
                                                                          • A friendly, collaborative and inclusive culture
                                                                          • +
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family
                                                                          • +
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                                          • +
                                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Salary Range:

                                                                          -

                                                                          74,100/74 100 - 120,800/120 800

                                                                          +

                                                                          Salary Range:

                                                                          82,000/82 000 - 135,000/135 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          18/11/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00088238?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-11-20T12:34:01.990Z,False,0,3,63,https://talenthub.vectorinstitute.ai/jobs/286549896-senior-data-scientist-at-sun-life-financial,,expired,2023-11-09T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ccd64ce8-7ed7-4877-80e7-af9d420e9c18,296403677,Sun Life Financial,"Director, Client Analytics (Health)",on_site,"Ontario, Canada",2023-12-21T06:44:02.302Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          Job Category:

                                                                          -

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          -

                                                                          16/07/2023

                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00076952?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-07-18T00:43:00.000Z,False,0,11,106,https://talenthub.vectorinstitute.ai/jobs/243155637-senior-data-scientist-health-at-sun-life-financial,,expired,2023-07-04T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -9e0a4469-b6ff-43e9-9f1a-5984a514273e,236958274,Vector Institute,HPC Systems Developer,on_site,"Ontario, Canada",2023-06-17T02:12:03.824Z,"

                                                                          JOB DESCRIPTION

                                                                          -

                                                                          HPC SYSTEMS DEVELOPER

                                                                          -

                                                                          POSITION OVERVIEW

                                                                          -

                                                                          The Vector Institute is seeking an HPC Systems Developer to join our growing team in Toronto as we continue the work of making Canada a centre of expertise for AI in the world.

                                                                          -

                                                                          The incumbent in this role will participate in the building and maintenance of High-Performance Computing environments for world class research in Machine Learning.

                                                                          -

                                                                          The HPC Systems Developer will take responsibility in managing performance metrics, systems reporting, custom development tasks, and work with teams within and outside Vector to provide insight into delivering the best computational experience for our researchers.

                                                                          -

                                                                          We are seeking a highly motivated Systems Developer with a hands-on, problem-solving approach to managing and troubleshooting high-tech environments. The role will be a combination of remote and on-site at the office.

                                                                          -

                                                                          The Vector Institute supports a flexible work environment. This position requires a reasonable degree of on-site work which will vary depending on the project commitments and organizational activities. As a result, the ability to work remotely will fluctuate and will be determined in accordance with current business needs

                                                                          -

                                                                          KEY RESPONSIBILITIES:

                                                                          -
                                                                            -
                                                                          • Design, develop, and maintain critical complex software solutions in support of HPC infrastructure monitoring;
                                                                          • -
                                                                          • Maintain up to date reporting of HPC resource utilization;
                                                                          • -
                                                                          • Build tools to assist in automation of infrastructure management;
                                                                          • -
                                                                          • Collaborate with partner organizations and initiatives to develop cross-organizational software solutions;
                                                                          • -
                                                                          • Document every facet of software solutions as a reference for further maintenance and upgrades;
                                                                          • -
                                                                          • Provide input for preventing future problems as well as incorporating solutions to current concerns; and,
                                                                          • -
                                                                          • Experiment with new technologies relevant to the area of development; recommend improvements to techniques, procedures or other aspects of technical development.
                                                                          • -
                                                                          -

                                                                          -

                                                                          SUCCESS MEASURES:

                                                                          -
                                                                            -
                                                                          • Ensures the smooth functioning of the research systems, by undertaking detailed reporting of HPC operations, job statistics and performance metrics.
                                                                          • -
                                                                          • Researchers and the enterprise operations feel supported in all other computing needs.
                                                                          • -
                                                                          • Builds and maintains tools to inform the evolution of our environment, such as reporting systems, websites and metrics summarizations.
                                                                          • -
                                                                          -


                                                                          -

                                                                          PROFILE OF THE IDEAL CANDIDATE:

                                                                          -
                                                                            -
                                                                          • Degree or diploma in computer science or engineering or equivalency through more than five years systems programming in a UNIX/Linux environment or complex computing environment;
                                                                          • -
                                                                          • Advanced working knowledge with mainstream programming languages (python, javascript, java, c/c++, etc) and LAMP stack;
                                                                          • -
                                                                          • Experience with production software development and maintenance, including Git/GitHub workflows and continuous integration systems;
                                                                          • -
                                                                          • More than five years of proven, hands-on experience: Linux/UNIX systems programming preferably in a research environment; (Ubuntu, RedHat, CentOS);
                                                                          • -
                                                                          • Experience maintaining application tools and databases, MySQL, PostgreSQL;
                                                                          • -
                                                                          • Proven programming/scripting skills as it pertains to infrastructure management and monitoring;
                                                                          • -
                                                                          • Managing and troubleshooting software and code using mostly open-source software
                                                                          • -
                                                                          • Demonstrated ability to learn quickly;
                                                                          • -
                                                                          • Demonstrated ability to prioritize tasks and resolve problems in a timely manner;
                                                                          • -
                                                                          • Ability to work autonomously, multi-task and work in a fast-paced and stressful environment;
                                                                          • -
                                                                          • Strong attention to detail;
                                                                          • -
                                                                          • Ability to write technical documentation; and,
                                                                          • -
                                                                          • Excellent verbal and written communication skills.
                                                                          • +

                                                                            Job Description:

                                                                            +

                                                                            +

                                                                            Role Summary

                                                                            +

                                                                            +

                                                                            As part of the Office of the Chief Data & Analytics Officer, reporting to the AVP, Health & Cross-Client & Digital Analytics, this role will be key in leveraging data-driven insights to enable marketing strategies and enhancing client experiences for Sun Life’s Health Clients. The ideal candidate will have a strong background in Data & Analytics, strategic thinking, and effective team-building skills.

                                                                            +

                                                                            +

                                                                            What will you do?

                                                                            +
                                                                              +
                                                                            • Develop and execute strategic analytics initiatives to enhance client experience and optimize marketing efforts for our health clients.

                                                                            • +
                                                                            • Own and architect the overall framework for Health Client Metrics and Measurement including defining key metrics and developing and maintaining dashboard sources of truth.

                                                                            • +
                                                                            • Lead a team of data analytics professionals in analysing data, surfacing insights and recommending actionable findings which involves analyzing workflow, establishing priorities, developing standards, and setting deadlines

                                                                            • +
                                                                            • Lead and collaborate cross functionally to develop and evolve efficient and scalable business intelligence solutions that will equip business with self-serve capabilities that helps them make data driven decisions; including thinking about innovation by incorporating new capabilities, data sources and tools

                                                                            • +
                                                                            • Be a thought-partner to stakeholders and cross-functional teams to define project scope, objectives, and deliverables related to client experience/engagement and marketing strategies.

                                                                            • +
                                                                            • Partner closely with Health and Group Benefits Data & Analytics teams to build a deeper understanding of the Health ecosystem at Sun Life and continuously discover data sources and methodologies.

                                                                            • +
                                                                            • Provide thought leadership in analytics, staying current with industry trends and emerging technologies in client experience and marketing

                                                                            • +
                                                                            • Advocate for the creation of the appropriate data products that will enable strategic analytics and play a key role in influencing the backlog of data products and platforms.

                                                                            • +
                                                                            • Ensure compliance with regulatory requirements and industry best practices in data privacy and security for client-related initiatives.

                                                                            -

                                                                            Qualifications and Experiences below are considered an asset:

                                                                            -
                                                                              -
                                                                            • Hands-on experience using an HPC workload management systems such as, Slurm, SGE, Moab/Torque or equivalent scheduler
                                                                            • -
                                                                            • Good understanding of file systems such as ZFS and GPFS
                                                                            • -
                                                                            • Expertise in analyzing and reporting on large and volatile data sets
                                                                            • -
                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447438&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:42:37.829Z,False,0,1,39,https://talenthub.vectorinstitute.ai/jobs/236958274-hpc-systems-developer-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, -90a32278-c622-447f-a065-0bcb1d09bd0c,243861004,Scotiabank,"Associate, Client Insights and Analytics - Toronto",on_site,Canada : Ontario : Toronto,2023-07-06T15:52:03.910Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 180816

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Purpose:

                                                                          As an Associate in the Client Insights and Analytics team, you will contribute to the success of the Global Banking and Markets (GBM) division of Bank of Nova Scotia. The ideal candidate will be a dynamic person who thrives in a fast-paced environment and enjoys solving complex problems. You will be assigned to cover a product within the Wholesale Banking division and will have experience leading multi-functional, multi-geography teams.

                                                                          The position will require you to translate business needs into specifications and leading data analysis and transformation to drive enhanced analytics, client value reporting, customer profitability, and sales/client performance management. You will be familiar with Wholesale Banking products, have a university degree in a in related field, or related certification (CFA), coupled with technical skills with such tools and applications as PowerBI, Tableau or CRM (Salesforce).

                                                                          If you are a creative, self-starting, curious, and results-oriented individual who thrives in solving complex business and system problems this role is for you!

                                                                          Is this role right for you?

                                                                          -
                                                                          • You will help develop and drive Client Strategy and support it through the collection of business requirements for support teams to build operational processes which extract, transform, and map structured and unstructured data into schemas for the purpose of consistent reporting and analytics.
                                                                          • Lead project management activities for strategic business initiatives from Front Office (Corporate and Investment Banking, Capital Markets) and technology (Salesforce, Data Engineering etc.)
                                                                          • Support projects, providing detailed business and data analysis, program specifications and business requirements for development of solutions for the sourcing, delivery, and processing of internal/external data sources within the technical architecture to support client profitability and analytics for wholesale customers.
                                                                          • Collaborates with business partners and technology teams to deliver complex, creative and robust data solutions. This includes development of powerful reporting/analysis against big data required to ensure accessibility for analytics and reporting by the data teams, as well as providing oversight of reporting solutions using Tableau, Power BI, and/or other industry standard BI tools.
                                                                          • Expected to function independently by combining business knowledge and technical expertise to recommend, develop and implement data, reporting and analytics solutions.
                                                                          • Be a champion of change in Global Banking and Markets, for helping to evolve the data and analytics driven culture.
                                                                          • Drives the implementation of new processes, improving existing methodologies and utilizes cutting-edge technology to expedite delivery of new/enhanced products to our customers.
                                                                          • Comfortable working in a sales and trading environment to enhance the value we deliver to our customers.
                                                                          • Ensure all activities conducted are compliant with governing regulations, internal policies and procedures, while championing a customer focused culture that deepen client relationships and leverage broader Bank relationships, systems and knowledge. They understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. They also actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational compliance of AML/ATF/sanctions and conduct risk.
                                                                          • +

                                                                            +

                                                                            What do you need to succeed?

                                                                            +
                                                                              +
                                                                            • 7+ years of analytical experience and 5+ years of leading a team in business. analytics/BI, with proven people management skills and career development of team members.

                                                                            • +
                                                                            • B.Sc. Analytics, Mathematics, Stats, Computer Science, Engineering, or related field. Masters in Management Analytics or equivalent work experience.

                                                                            • +
                                                                            • Proficiency in analytics tools and platforms (e.g., Tableau, SQL, Python) with a focus on Client Analytics.

                                                                            • +
                                                                            • Excellent communication and presentation skills, with the ability to convey complex insights to non-technical stakeholders.

                                                                            • +
                                                                            • Strong executive presence and ability to influence cross-functionally across diverse teams.

                                                                            • +
                                                                            • Ability to think strategically, but also have exceptional attention to detail to drive prioritization and end-to-end ownership of execution.

                                                                            • +
                                                                            • Strong leadership skills with experience managing and mentoring a team of analysts.

                                                                            -


                                                                            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                            -
                                                                            • Bachelor / Master’s degree in a Finance/data science/analytics discipline.
                                                                            • 5+ years of progressive experience in data and analytics field, or sales background in Corporate Investment Banking, Global Capital Markets.
                                                                            • Excellent leadership skills in driving senior leaders to consensus and managing complex teams.
                                                                            • Excellent written and oral communication, strong analytical, problem-solving, and troubleshooting skills to identify/document critical issues, prioritize, and apply technology and industry practices in ways that are most beneficial to GBM.
                                                                            • Self-starting, results-oriented, and highly motivated individual with the ability to work in a fast-paced, agile environment.
                                                                            • Working knowledge of Salesforce and BI tools like Tableau and PowerBI would be a strong asset.
                                                                            • +

                                                                              +

                                                                              Unique Requirements:

                                                                              +
                                                                                +
                                                                              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                                                              • +
                                                                              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                              -

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-20T15:57:02.864Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/243861004-associate-client-insights-and-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,expired,2023-07-06T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c9a866de-b9d4-4ca7-b8c6-c7b364a4fbc8,243954901,BMO Financial Group,"Senior Manager, Retail Risk Modeling & Analytics",on_site,"Ontario, Canada",2023-07-07T01:42:01.516Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          07/18/2023

                                                                          -

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                          • -
                                                                          • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                          • -
                                                                          • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                          • -
                                                                          • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                          • -
                                                                          • Attracts, retains, and enables the career development of top talent.
                                                                          • -
                                                                          • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                          • -
                                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                                          • -
                                                                          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                          • -
                                                                          • Acts as a subject matter expert on relevant regulations and policies.
                                                                          • -
                                                                          • May network with industry contacts to gain competitive insights and best practices.
                                                                          • -
                                                                          • Acts as a subject matter expert on relevant regulations and policies.
                                                                          • -
                                                                          • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
                                                                          • -
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                          • -
                                                                          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                          • -
                                                                          • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                                                                          • -
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.
                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                          • -
                                                                          • Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders.
                                                                          • -
                                                                          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                          • -
                                                                          • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                                                                          • -
                                                                          • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
                                                                          • -
                                                                          • Monitors and tracks performance, and addresses any issues.
                                                                          • -
                                                                          • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
                                                                          • -
                                                                          • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                          • -
                                                                          • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                                          • -
                                                                          • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                                                                          • -
                                                                          • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                                                                          • -
                                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                          • -
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                          • -
                                                                          • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                          • -
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                          • -
                                                                          • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                          • -
                                                                          • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                          • -
                                                                          • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                          • -
                                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                          • -
                                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                                          • -
                                                                          • Uses the appropriate algorithms to discover patterns.
                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Supports development of tools and delivers training for data and analytics.
                                                                          • -
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • -
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • -
                                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                          • -
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                          • -
                                                                          • Implements changes in response to shifting trends.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            -
                                                                          • -
                                                                          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                                                                          • -
                                                                          • Relevant experience in risk, capital, and/or treasury management is preferred.
                                                                          • -
                                                                          • A professional designation in Finance or Risk management is preferred.
                                                                          • -
                                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth / Expert.
                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth / Expert.
                                                                          • -
                                                                          • Influence skills - In-depth / Expert.
                                                                          • -
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                          • -
                                                                          • Able to manage ambiguity.
                                                                          • -
                                                                          • Data driven decision making - In-depth / Expert.
                                                                          • +
                                                                          • Understanding of and experience in an Agile Operating Model

                                                                          • +
                                                                          • Experience in the financial services, health services, or similar type of industry

                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Retail-Risk-Modeling---Analytics_R230010200-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-20T20:13:00.000Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/243954901-senior-manager-retail-risk-modeling-analytics-at-bmo-financial-group,,expired,2023-07-07T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -94f82108-d9db-49f8-8c4f-b34bd2b1ce78,253671753,BMO Financial Group,Specialist- Risk Modelling & Analytics,on_site,"Ontario, Canada",2023-08-01T01:42:03.039Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          07/30/2023

                                                                          -

                                                                          Address:

                                                                          250 Yonge Street

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          MANDATE:

                                                                          -

                                                                          The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

                                                                          +

                                                                          Reasons why should you join us under the sun

                                                                          +
                                                                            +
                                                                          • Competitive salary and bonus structure influenced by market range data

                                                                          • +
                                                                          • 20 days vacation per year and an innovative sabbatical program

                                                                          • +
                                                                          • We’re honoured to be recognized as a 2023 Best Workplaces in Ontario by Great Place to Work® Canada

                                                                          • +
                                                                          • We’re proud to be recognized as a company with a 2023 Most Trusted Executive team by Great Place to work

                                                                          • +
                                                                          • A friendly, collaborative and inclusive culture

                                                                          • +
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                          • +
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                                          • +
                                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                          • +

                                                                          -

                                                                          KEY ACCOUNTABILITIES FOR THIS ROLE

                                                                          -

                                                                          Risk Methodologies

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -
                                                                            -
                                                                          • Supports the development of methodologies used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios based on best practices and regulatory requirements
                                                                          • -
                                                                          • Supports the activities related to data requirements for the development of internal models for market and counterparty credit risk management, regulatory and economic capital calculation
                                                                          • -
                                                                          • Contributes to change management activities related to model and methodology issues that expose the Bank to unusual, inappropriate or otherwise not fully identified or quantified traded credit and market risks
                                                                          • -
                                                                          • Supports the analysis of market data for revisions to risk factors and/or market model parameters for market and derivative counterparty risk applications
                                                                          • -
                                                                          • Participates in the model documentation process and ensures all documentation is in line with corporate standards
                                                                          • -
                                                                          • Contributes to relationships and timelines in day-to-day relationships with clients
                                                                          • -
                                                                          • Supports the team in various tasks as needed.
                                                                          • -
                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          Communication

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -
                                                                            -
                                                                          • Reports to the Director, Risk Models positions, exposures or other factors that may expose the Bank to unusual, unexpected, inappropriate or otherwise not fully identified or quantified risks associated with counterparty exposures
                                                                          • -
                                                                          • Participate in discussions with business managers and other stakeholders to understand objectives, supports activities to translate business requirements into development tasks
                                                                          • -
                                                                          • Maintain effective communication with management, peers and stakeholders
                                                                          • -
                                                                          • Establish relationships with managers to ensure own understanding of material risks and to assist them in making decisions
                                                                          • -
                                                                          • Participate in training to acquire the proper expertise related to processes involved in risk quantification
                                                                          • -
                                                                          • Familiarize with new and evolving Basel/regulatory requirements.
                                                                          • -
                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          Salary Range:

                                                                          105,000/105 000 - 175,000/175 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          14/01/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Client-Analytics--Health-_JR00088345?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-01-15T06:49:02.295Z,False,0,1,33,https://talenthub.vectorinstitute.ai/jobs/296403677-director-client-analytics-health-at-sun-life-financial,,expired,2023-12-21T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +af2c3e11-3551-43f5-8fb8-bbde890a35a9,298777357,OMERS,"Student, Data & Analytics (Summer 2024, 8 Months)",on_site,"Ontario, Canada",2024-01-04T06:45:01.769Z,"
                                                                          +

                                                                          Why join us?

                                                                          +

                                                                          +

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          +

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          -

                                                                          System Development

                                                                          +

                                                                          We encourage continuous learning and you will be working with many skilled developers with a wealth of experience to guide you. Your work will be meaningful and help drive OMERS further into the future.

                                                                          +

                                                                          As a member of this team, you will be responsible for:

                                                                            -
                                                                          • Participate and support development of business requirements for model or system enhancements, including specification of user acceptance test requirements. Participate in user acceptance testing and other activities to ensure business and analytic requirements are correctly implemented
                                                                          • -
                                                                          • Support the Director in Risk Models vis-a-vis Technology & Solutions - Risk Management to ensure proper and timely implementation of model enhancements on systems within the project scope. Escalate to the Director, Risk Models delays or unexpected problems that may impede progress.
                                                                          • +
                                                                          • Work with financial and operational data from primary or secondary data sources
                                                                          • +
                                                                          • Gathering business requirements and documentation following Agile Practices
                                                                          • +
                                                                          • Work with Product Managers and Stakeholders to prioritize business data needs
                                                                          • +
                                                                          • Assist with ad-hoc requests related to finance data analytics
                                                                          • +
                                                                          • Data standardization by reviewing extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, integrity issues and follow data governance policies
                                                                          • +
                                                                          • Work with management teams to prioritize business, analytics and information needs and understand dashboard requirements
                                                                          • +
                                                                          • Develop and support financial and operational reporting dashboards within Power BI
                                                                          • +
                                                                          • Assist with the preparation and development of reporting, presentations and various materials for discussion at the executive level
                                                                          • +
                                                                          • Exhibit ability to work on multiple projects simultaneously and ensure on-time delivery
                                                                          • +
                                                                          • Identify, define and implement opportunities for enhancing existing processes
                                                                          -

                                                                          -

                                                                          -

                                                                          The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

                                                                          -

                                                                          Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                          +

                                                                          You bring the following skills and qualifications:

                                                                            -
                                                                          • Acts as a trusted advisor to assigned business/group.
                                                                          • -
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • -
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • -
                                                                          • Assists in the development of strategic plans.
                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • -
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                          • -
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.
                                                                          • -
                                                                          • Automates validation tests to improve quality and efficiency of the validation process.
                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders.
                                                                          • -
                                                                          • Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                                                                          • -
                                                                          • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                                          • -
                                                                          • Provides input into the planning and implementation of operational programs.
                                                                          • -
                                                                          • Executes work to deliver timely, accurate, and efficient service.
                                                                          • -
                                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                          • -
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                          • -
                                                                          • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                          • -
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                          • -
                                                                          • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                          • -
                                                                          • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                          • -
                                                                          • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                          • -
                                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                          • -
                                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                                          • -
                                                                          • Uses the appropriate algorithms to discover patterns.
                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Supports development of tools and delivers training for data and analytics.
                                                                          • -
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • -
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • +
                                                                          • Bachelor’s degree in Computer Science, Mathematics, Business, or related field
                                                                          • +
                                                                          • Strong academic track record combined with extra-curricular experience
                                                                          • +
                                                                          • Excellent programming skills including knowledge of VBA, SQL and Power BI
                                                                          • +
                                                                          • A creative and enquiring mind to continuously improve current processes
                                                                          • +
                                                                          • Self-starter and independent attitude
                                                                          • +
                                                                          • Strong communication skills and a desire to work in a team environment
                                                                          • +
                                                                          +

                                                                          What’s in it for you:

                                                                          +
                                                                            +
                                                                          • A team that is ready to focus on your growth and development
                                                                          • +
                                                                          • Continuous learning across different areas of the business
                                                                          • +
                                                                          • Opportunity to be part of the student community at OMERS & Oxford
                                                                          • +
                                                                          • An orientation program to set you up for success during your work term!
                                                                          • +
                                                                          • Networking and educational session with different leaders across the business

                                                                          -

                                                                          Qualification:

                                                                          +

                                                                          IMPORTANT: Application Instructions

                                                                          +

                                                                          To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                                          +

                                                                          +

                                                                          Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                                          +

                                                                          +

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          +

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Data---Analytics--Summer-2024--8-Months-_JR-5680?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-01-15T06:50:04.203Z,False,0,7,57,https://talenthub.vectorinstitute.ai/jobs/298777357-student-data-analytics-summer-2024-8-months-at-omers,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +597cbd5c-d0d7-4ca7-85d9-99a1f52985e0,298777360,OMERS,"Student, Data Engineer (Summer 2024, 8 Months)",on_site,"Ontario, Canada",2024-01-04T06:45:01.957Z,"
                                                                          +

                                                                          Why join us?

                                                                          +

                                                                          +

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          +

                                                                          About Us:

                                                                          +

                                                                          Hey there! We\'re the data crew, turning numbers into high-fives and spreadsheets into treasure maps. If you\'re a student who enjoys playing around with tech stuff and wants to dive into the world of data, then listen up – we\'ve got a spot for you.

                                                                          +

                                                                          +

                                                                          Position Overview:

                                                                          +

                                                                          As a Data Ninja in Training aka Data Engineer, your mission is to join our team of tech enthusiasts and have a blast turning messy data into useful info. Think of it like a cool internship, but with more fun and fewer boring bits. If you\'re up for the challenge, keep on reading.

                                                                          +

                                                                          +

                                                                          As a member of this team, you will be responsible for:

                                                                          +

                                                                            -
                                                                          • Graduate degree in a technical field (e.g. Engineering, Computer Science, Mathematics, Finance, Statistics)
                                                                          • -
                                                                          • Minimum of 3 to 5 years of experience within Capital Markets and Risk Management, with in-depth knowledge of financial products such as OTC derivatives, security financing
                                                                          • -
                                                                          • Hands on experience in derivatives product pricing and implementation testing
                                                                          • -
                                                                          • Broad understanding and experience with risk management methodologies, preferably in Counterparty Credit Risk context
                                                                          • -
                                                                          • Experience with Adaptiv CCR platform is an asset
                                                                          • -
                                                                          • Working knowledge of a combination of Python, C#, C++ and VBA.
                                                                          • +
                                                                          • Learning existing Data Delivery Platform; end-to-end development life cycle.
                                                                          • +
                                                                          • Researching and development of new Data products.
                                                                          • +
                                                                          • Interacting with our customers, peers, industry experts to understand the Analytical needs then build Data Products, deliver, and support it.
                                                                          • +
                                                                          • Collaborating with Business Intelligence (BI) developers and data scientists and analysts to understand their requirements and providing data engineering support for analytics products.
                                                                          • +
                                                                          • Contributing to the continuous improvement of data engineering processes and best practices within the organization.
                                                                          • +
                                                                          • Lastly, we take Data Security seriously and you will learn and apply that to our data products.

                                                                          -

                                                                          Skills

                                                                          +

                                                                          To succeed in this role, you have:

                                                                            -
                                                                          • Excellent written and verbal communication skills
                                                                          • -
                                                                          • Strong attention to detail
                                                                          • -
                                                                          • Effective problem solving and critical thinking skills
                                                                          • -
                                                                          • Ability to meet deadlines and manage priorities
                                                                          • -
                                                                          • Highly collaborative and relationship-oriented; enjoys working with others.
                                                                          • +
                                                                          • Currently enrolling in an advanced Diploma, Undergraduate Degree or a Master Degree in Computer Science or Computer Programming
                                                                          • +
                                                                          • Programming skills in languages such as Python (preferred), Java, or Scala.
                                                                          • +
                                                                          • Familiarity with data manipulation libraries and frameworks, including but not limited to pandas and Apache Spark.
                                                                          • +
                                                                          • Basic understanding of database systems, SQL, dimensional data modeling and data warehousing concepts.
                                                                          • +
                                                                          • Understanding data integration tools and performing ETL processes.
                                                                          • +
                                                                          • Demonstrated problem-solving proficiency with keen attention to detail.
                                                                          • +
                                                                          • Effective communication skills and the ability to collaborate seamlessly within a team.
                                                                          • +
                                                                          • Passion for working with data and a keen desire to explore and adopt new technologies and tools.
                                                                          • +
                                                                          • Interest in a data community work or experience in writing technical blogs will be an asset.
                                                                          • +
                                                                          • Most importantly, bring a sense of humor, because tech can be funny sometimes.
                                                                          +

                                                                          +

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

                                                                          +

                                                                          +

                                                                          IMPORTANT: Application Instructions:

                                                                          +

                                                                          To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                                                          +

                                                                          +

                                                                          Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Specialist--Risk-Modelling---Analytics_R230011021-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-08T16:12:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/253671753-specialist-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-08-01T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -d70b9a3d-309b-40c4-b5b9-29ee85f41b8c,267931511,Scotiabank,Velocity - Finance Internship/Co-Op - Winter 2024 1,on_site,Canada : Ontario : Toronto,2023-09-07T16:22:02.757Z,"

                                                                          -

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          +

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Student--Data-Engineer--Summer-2024--8-Months-_JR-5661?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-01-15T06:50:04.203Z,False,0,6,47,https://talenthub.vectorinstitute.ai/jobs/298777360-student-data-engineer-summer-2024-8-months-at-omers,,expired,2024-01-04T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0782c977-1d35-4fc4-8e55-9a6037e88be0,296508138,Scotiabank,"Senior Manager, Insights and Analytics",on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.521Z,"

                                                                          -

                                                                          Requisition ID: 184484

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Velocity – Finance Internship/Co-Op – Winter 2024 (8 Months)

                                                                          +

                                                                          Requisition ID: 190571

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Term: January – April 2024

                                                                          -

                                                                          Application Deadline: 10/02/2023

                                                                          +

                                                                          Purpose:

                                                                          +

                                                                          Leads and contributes to the overall success of Global Brand & Customer Insights across the Scotiabank Group of Companies on Canadian and international mandates ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies, and procedures.

                                                                          -

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          -

                                                                          -

                                                                          The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                          -

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -
                                                                          • Update/validate formulas in planning and reporting.
                                                                          • Populate reporting templates with actual results and ensure completeness.
                                                                          • Data analysis projects related to various business initiatives.
                                                                          • Assist in the preparation of summary information packages to communicate to leadership.
                                                                          • Work on the ongoing tracking/reporting of financial metrics.
                                                                          • +

                                                                            Accountabilities:

                                                                            +
                                                                            • Leads and drives a client focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                                                            -

                                                                            -

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            -
                                                                            • You are currently enrolled in post-secondary education.
                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                                                                            • You are a highly self-motivated individual with strong time-management skills.
                                                                            • You have an analytical mindset and investigative abilities.
                                                                            • You have strong written and verbal communication skills.
                                                                            • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
                                                                            • You understand PowerBI, SAS, SQL or Tableau.
                                                                            • +

                                                                              +
                                                                              • +Oversees day-to-day operation of the analytics platform used by Global Brand & Customer Insights (GBCI) to support voice-of-the client and voice-of-the-employee analysis and insights:
                                                                                • Oversees data transfer, development and maintenance of analytics models, dashboard design and ongoing reporting to ensure that source data, text analytics models and reporting meet industry best practices and support business line partner needs.
                                                                                • Leads day-to-day relationship with analytics platform vendor(s), including preparation and communication of detailed project plans, requirements documents, task accountabilities, data transfer requirements and platform updates.
                                                                              -

                                                                              -

                                                                              -

                                                                              What’s in it for you?

                                                                              -
                                                                              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                              • +

                                                                                +
                                                                                • +Responsible for the management of the client and employee experience analytics within GBCI, including:
                                                                                  • Working with internal partners to understand analytics, insights, and designing analysis to support current and future needs.
                                                                                  • Lead voice-of-the client and voice-of-the-employee analytics initiatives including, design, execution, project management, analysis, and reporting.
                                                                                  • Aggregate and curate client data inputs across platforms, identifying opportunities to continually improve the client experience.
                                                                                  • Prepare dashboards, reports and presentations of analytics findings and present findings to different audiences across the Bank.
                                                                                  • Showcases and advocates for research strategy and insights through internal presentations, workshares and knowledge sharing platforms.
                                                                                -

                                                                                -

                                                                                How do I apply?

                                                                                -

                                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                                                                -

                                                                                -
                                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                                2. -
                                                                                -
                                                                                1. Complete a short one-way video interview here.
                                                                                2. -
                                                                                -
                                                                                1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                                2. -
                                                                                -

                                                                                -

                                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                                +
                                                                                • +Provide relationship management support for various lines of business across the organization by:
                                                                                  • Establishing a cohesive network of relationships with vendors to ensure that insights meet business needs, and to enhance client and employee experience insights.
                                                                                  • Fostering trust with internal stakeholders, including key senior leaders across the organization to leverage insights to influence business strategies and decisions.
                                                                                  • Delivering insights in a consultative way to support stakeholders during strategy, ideation, and execution phases of their projects.
                                                                                  • Provide support to inner loop functions, ensuring resolutions are smooth and result in a positive brand image for the Bank.
                                                                                • +
                                                                                +

                                                                                +
                                                                                • +Maintain knowledge of best practice in analytics and strategic initiatives by:
                                                                                  • Aiding in the communication and dissemination of research and analytics findings, highlighting trends in client/consumer attitude and behavior throughout the Bank.
                                                                                  • Researching industry best practices in analytics activities & execution and linking strategy to results.
                                                                                  • Maintains expert knowledge on industry best practices related to client experience and satisfaction, acting as a source of knowledge for projects across the Bank.
                                                                                  • Creating and maintaining a network of analytics, insights, and strategy professionals to share learnings.
                                                                                • +
                                                                                +

                                                                                +
                                                                                • Champions a high-performance environment and demonstrates a commitment to Scotiabank’s values: accountability, passion, integrity, and respect. Delivers results in accordance to Scotiabank behavioural competencies. Creates an inclusive team culture and an environment where team members hear, share, and appreciate diverse perspectives.
                                                                                • +
                                                                                +

                                                                                +
                                                                                • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates and models the Bank’s risk culture and risk appetite statement throughout their teams.
                                                                                • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                                                                • +
                                                                                +

                                                                                +
                                                                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment. Uses a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.
                                                                                • +
                                                                                +

                                                                                +

                                                                                Experience:

                                                                                +
                                                                                • Experience in data analytics, market research or business analysis field (8+ years).
                                                                                • Experience running, implementing, and managing Voice-of-Client programs.
                                                                                • Solid analytical skills - must be comfortable working with large amounts of information, data mining and translating data into clear and concise findings.
                                                                                • Advanced level of experience with Microsoft Office (PowerPoint, Excel, Access).
                                                                                • Experience working with text analytics tools (e.g., Clarabridge, Medallia).
                                                                                • Excellent project management skills to prioritize, manage, and implement a variety of competing projects.
                                                                                • Strong interpersonal skills with proven ability to work within cross-functional teams.
                                                                                • Strong written and verbal communications skills.
                                                                                • Experience in financial services would be an asset.
                                                                                • Experience with survey tools such as Qualtrics would be an asset.
                                                                                • Ability to speak Spanish is not required but would be considered an asset.
                                                                                • +
                                                                                +

                                                                                +

                                                                                Education:

                                                                                +

                                                                                University degree in Computer Science, Math/Statistics or Business Administration/Commerce is preferred.

                                                                                -

                                                                                Location(s): Canada : Ontario : Toronto

                                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-Op-Winter-2024-1-ON/573772717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/267931511-velocity-finance-internship-co-op-winter-2024-1-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-Op-Winter-2024-1-ON/573772717/,expired,2023-09-07T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -d3e14de7-8779-415a-99da-c0146d6fe8ae,265451536,Ontario Brain Institute,Cloud Applications Engineer,hybrid,"Toronto, ON, Canada",2023-08-31T20:21:47.232Z,"

                                                                          Make a difference in brain research and innovation in Ontario 

                                                                          -

                                                                          The Ontario Brain Institute (OBI) is a provincially‐funded, not‐for‐profit initiative seeking to maximize the impact of neuroscience and establish Ontario as a world leader in brain discovery, commercialization and care. Convergent partnerships are created between researchers, clinicians, industry, patients, and their advocates to foster discovery and deliver innovative products and services that improve the lives of those living with brain disorders.   

                                                                          -

                                                                          The OBI is passionate about the outcomes of its work, the people and organizations it partners with, and the opportunity to play a role in shaping the future. Its members are united in the common goal to improve brain health. The culture is fast-paced, challenging and rewarding.   

                                                                          -

                                                                          If you are interested in joining the OBI team, please check out the employment opportunities at: http://www.braininstitute.ca/opportunities

                                                                          -

                                                                          -

                                                                          Cloud Applications Engineer - 1 Position

                                                                          -

                                                                          OBI is looking for an experienced Cloud Applications Engineer to join its Neuroinformatics team. This role will play a key part in supporting OBI related research projects that produce, share, and analyze high quality neuroscience data to advance neuroscience and brain discoveries via Brain-CODE. Brain-CODE is OBI’s large scale neuroinformatics platform for the collection, curation, sharing, and analysis of neuroscience data.

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Insights-and-Analytics-ON-M5C2W1/576791017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-15T16:31:04.119Z,False,0,1,56,https://talenthub.vectorinstitute.ai/jobs/296508138-senior-manager-insights-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Insights-and-Analytics-ON-M5C2W1/576791017/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +4c13d8ec-c08d-4851-a5aa-4f04c911c342,296401069,Borealis AI,Senior Researcher,on_site,"Ontario, Canada",2023-12-21T06:38:01.433Z,"
                                                                          +

                                                                          What\'s the opportunity?

                                                                          +

                                                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                          +

                                                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                          +

                                                                          Your responsibilities include:

                                                                          +
                                                                            +
                                                                          • Developing novel AI solutions that facilitate impactful products;
                                                                          • +
                                                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                          • +
                                                                          • Working with the development team to transfer research work into production;
                                                                          • +
                                                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                          • +
                                                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                          • +
                                                                          +

                                                                          You’re our ideal candidate if you have:

                                                                          +
                                                                            +
                                                                          • A passion for solving open problems using data and algorithms;
                                                                          • +
                                                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                          • +
                                                                          • Ability to formulate and drive a research project independently without close supervision;
                                                                          • +
                                                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                          • +
                                                                          • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                                                          • +
                                                                          • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                                                          • +
                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                            +
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • +
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                          +

                                                                          About Borealis AI

                                                                          +

                                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                          +
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=6892611002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-01-18T06:43:02.545Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/296401069-senior-researcher-at-borealis-ai,,expired,2023-12-21T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +f6ea4a63-33fd-490f-a507-54bf7f139059,300420313,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2024-01-13T19:22:03.142Z,"

                                                                          Req Id: 416312 

                                                                           

                                                                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                                                           

                                                                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                                                                           

                                                                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                                                                           

                                                                           

                                                                          +
                                                                          +
                                                                          +

                                                                          Summary

                                                                          +
                                                                          +
                                                                          +

                                                                          Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                                                          +

                                                                          This is an excellent opportunity for the right person to join our team and play a key role transforming the organization.  If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                                                                          +

                                                                          Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Key Responsibilities

                                                                          +
                                                                          +
                                                                            +
                                                                          • This is an Agile development environment, working with the latest BI visualization tools and technologies
                                                                          • +
                                                                          • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                                                                          • +
                                                                          • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                                                                          • +
                                                                          • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                                                                          • +
                                                                          • Deliver on key projects and data strategies that directly support key business drivers
                                                                          • +
                                                                          • Work with and opportunity to present to various management levels
                                                                          • +
                                                                          • Maintain and expand your knowledge of BI and current technology through training opportunities
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Critical Qualifications

                                                                          +
                                                                          +
                                                                            +
                                                                          • +You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                                                                              +
                                                                            • Business analytics / business intelligence
                                                                            • +
                                                                            • applied math,
                                                                            • +
                                                                            • computer science,
                                                                            • +
                                                                            • applied science / engineering,
                                                                            • +
                                                                            • economics/econometrics,
                                                                            • +
                                                                            • Commerce
                                                                            • +
                                                                            • management science / operations research
                                                                            • +
                                                                            • or related area
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                                                          • +
                                                                          • You are highly analytical and understand the basic principles of working with large and complex data sets
                                                                          • +
                                                                          • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                                                          • +
                                                                          • You have the ability to work with a team towards common goals
                                                                          • +
                                                                          • You are able to manage multiple projects and priorities.
                                                                          • +
                                                                          • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Preferred Qualifications

                                                                          +
                                                                          +
                                                                            +
                                                                          • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                                                          • +
                                                                          • Experience with BI and data warehouse technologies
                                                                          • +
                                                                          • Basic working knowledge of project management steps
                                                                          • +
                                                                          +
                                                                          +

                                                                           

                                                                          Additional Information:

                                                                          Position Type: Management 
                                                                          Job Status: Regular - Full Time 
                                                                          Job Location: Canada : Ontario : Mississauga 

                                                                          Flexible work profile: Mobile
                                                                          Application Deadline: 01/19/2024 

                                                                           

                                                                          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                                                           

                                                                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                                                           

                                                                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                                                           

                                                                          Created: CanadaON, Mississauga

                                                                           

                                                                          Bell, one of Canada's Top 100 Employers.

                                                                          ",,https://jobs.bell.ca/ca/en/job/BECACA416312EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-01-20T19:27:02.136Z,False,0,11,75,https://talenthub.vectorinstitute.ai/jobs/300420313-data-analyst-business-intelligence-at-bell-canada,BECACA416312EXTERNALENCA,expired,2024-01-13T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +99fa5db0-469e-4389-9051-8243a7642850,298833066,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2024-01-04T16:28:13.599Z,"
                                                                          +

                                                                          Hours

                                                                          +
                                                                          37.5

                                                                          -

                                                                          The ideal candidate will have a passion for advancing neuroscience informatics (neuroinformatics) via the adoption and scaling of advanced data tooling, computing, and AI on the cloud. Candidates should have significant experience working on cloud application management, deployment and support, preferably with experience in the health research ecosystem or similar.

                                                                          +

                                                                          Workplace Model

                                                                          +
                                                                          Hybrid

                                                                          -

                                                                          This position will be a great opportunity for the successful candidate to develop their cloud DevOps and application stack management skills, work with new technologies for cloud big data and analytics, collaborate with national and international partners, and significantly participate in supporting the advancement of brain discovery and innovation for health impact.

                                                                          +

                                                                          Pay Details

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                          -

                                                                          Key Responsibilities:

                                                                          +

                                                                          Department Overview

                                                                          +
                                                                          +

                                                                          Our Leaders are committed to people development, career advancement and value diversity and inclusion.
                                                                          Are you looking for an exciting opportunity to?

                                                                            -
                                                                          • Lead technical cloud data and application layers for health research data storage, sharing, and analysis on Microsoft Azure cloud and connected computing environments.
                                                                          • -
                                                                          • Design and implement platform and application services architectures according to cloud best practices for security, usability, performance, and cost.
                                                                          • -
                                                                          • Implement and support core applications and data pipelines stacks on cloud leveraging virtual machines, storage containers, databases, containerized applications, and scalable computing (e.g., Kubernetes, Azure App Services) in accordance with OBI cloud informatics guidelines.
                                                                          • -
                                                                          • Implement and support data management, cloud data storage services using Azure native and third-party storage solutions, databases, and file systems.
                                                                          • -
                                                                          • Implement and support cloud API stack and micro-service integrations and third-party data federations to facilitate data access, computing access and exchanges.
                                                                          • -
                                                                          • Implement and support cloud Analytics/ML services including virtual machines, analytical computing (CPUs, GPUs, TPUs, etc.).
                                                                          • -
                                                                          • Manage and support application user accounts, user access requests, and data preparation for user access.
                                                                          • -
                                                                          • Support security assessments, change management, and implement contingency plans for system upgrades while providing impact analysis and recommendation for system updates.
                                                                          • -
                                                                          • Support the development of OBI cloud application guidelines and Standard Operating Procedures (SOPs) as required.
                                                                          • -
                                                                          • Operate cloud resource budgets with due diligence and planning with the OBI informatics team.
                                                                          • -
                                                                          • Collaborate with third-party DevOps and Security providers, Microsoft Azure partners, and other third-party partners to advance neuroinformatics objectives.
                                                                          • -
                                                                          • Work closely with the OBI neuroinformatics team and service providers with agility and adapt to ongoing requirements changes.
                                                                          • -
                                                                          • Keep abreast of and communicate cloud application and data standards, cloud technology trends and innovation opportunities.
                                                                          • +
                                                                          • Transform the way we operate as a bank?
                                                                          • +
                                                                          • Make a big impact on how we operate with data?
                                                                          • +
                                                                          • Develop and deepen your knowledge of our core business, products, and operations?
                                                                          +

                                                                          Then the Canadian Personal Banking Data & Analytics (CPBD&A) team is your destination

                                                                          +

                                                                          -

                                                                          Skills & Qualifications:

                                                                          +

                                                                          Job Details

                                                                          +
                                                                          +

                                                                          About this Role

                                                                          +

                                                                          Take an integrated approach, as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup, and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement.

                                                                            -
                                                                          • 5 to 7+ years of experience with preference given to candidates with health research cloud systems experience; relevant MSc or PhD, an asset.
                                                                          • -
                                                                          • Preference will be given to Microsoft Azure cloud experience and certification, however candidates with other cloud experience (public or private) are welcome to apply.
                                                                          • -
                                                                          • Proven ability to adopt agile methodology for systems design, implementation, and support of cloud applications, data and computing resources, including virtual machines, databases (e.g., PostgreSQL, MongoDB), containerization (e.g., Docker, Singularity), cluster management (Kubernetes, Azure App Services), REST API integration, and Git code versioning.
                                                                          • -
                                                                          • Experience with Python framework ecosystems (FastAPI, Flask, Jupyter Notebooks, Streamlit, etc.) with health data modelling services (REST API, GraphQL, FHIR, OMOP) preferred.
                                                                          • -
                                                                          • Experience with CLI based cloud management and orchestrating infrastructure as code (az-cli, bicep, terraform, etc.), writing shell scripts, files, and ops code for deployments, resource management, keys, cryptography, etc. using security best practices (e.g., bash, python, javascript, java, json, etc.).
                                                                          • -
                                                                          • Experience with sensitive data management and ETL (health data experience preferred).
                                                                          • -
                                                                          • Experience working with federated identity applications and management (e.g., SAMBA, OAuth, etc.).
                                                                          • -
                                                                          • Experience with cloud applications and storage security best practices (e.g., TLS, VPC, API security, CORS, container security, etc.)
                                                                          • -
                                                                          • Robust understanding of Microsoft Azure cloud infrastructure and platform management for computing, networking, and storage.
                                                                          • -
                                                                          • Microsoft Azure DevOps, Applications, AI Engineer, and/or Developer certifications an asset.
                                                                          • -
                                                                          • Experience operating with cloud resource budgets, quotas, and support.
                                                                          • -
                                                                          • Possesses excellent analytical and problem resolution skills.
                                                                          • -
                                                                          • Excellent communication skills and English proficiency with a willingness to teach and share lessons learned with the neuroinformatics team.
                                                                          • -
                                                                          • Excellent autonomy along with great collaboration skills.
                                                                          • -
                                                                          • A strong desire to make an impact in brain discovery and patient health.
                                                                          • +
                                                                          • Coordinate with analysts, data scientists, and product partners on analytical techniques and data analysis
                                                                          • +
                                                                          • Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address our greatest areas of opportunity
                                                                          • +
                                                                          • Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking
                                                                          • +
                                                                          • Provide business expertise to place context around analytics discovery
                                                                          • +
                                                                          • Educate business partners and build awareness on how to leverage data & analytics to drive decision-making that will propel the business forward
                                                                          • +
                                                                          • Develop analytical solutions to support insight generation that aligns to strategy and drives shareholder value
                                                                          • +
                                                                          • Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels
                                                                          • +
                                                                          • Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)
                                                                          • +
                                                                          • Challenge analytical thinking within products and guide the team through tactical analytic plans, while leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation
                                                                          +

                                                                          -

                                                                          The Cloud Application Engineer will work alongside the Data Systems Engineer, the Data Quality Analysts, the informatics service providers to OBI, and the broader neuroinformatics team.

                                                                          -

                                                                          -

                                                                          We are a diverse, highly energized, passionate, professional and committed team. We offer an exciting workplace with many opportunities for learning. Qualified candidates are invited to submit a cover letter and resume, by September 10, 2023.

                                                                          -

                                                                          -

                                                                          We thank all applicants for their interest; however, only those selected for an interview will be contacted.

                                                                          -

                                                                          -

                                                                          Ontario Brain Institute is committed to providing accommodations for applicants at any stage of the recruitment and hiring process in accordance with Ontario Brain Institute policy, the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Should you require accommodation, please notify us and we will work with you to provide appropriate accommodations.

                                                                          -

                                                                          -

                                                                          The Ontario Brain Institute is an independent, not-for-profit corporation funded in part by the Government of Ontario.

                                                                          ",,https://obi.bamboohr.com/careers/66,aitalent@vectorinstitute.ai,,,,2023-09-14T18:10:00.000Z,False,0,1,42,https://talenthub.vectorinstitute.ai/jobs/265451536-cloud-applications-engineer-at-ontario-brain-institute,,expired,2023-08-31T20:21:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Masters Degree,New Posting, -3a84e61c-b84a-4c5e-bdc4-0b8bd4963585,260749016,Scotiabank,"Manager Data Analytics, Collections Strategies",on_site,Canada : Ontario : Toronto,2023-08-17T15:52:02.563Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 182431

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Job Purpose
                                                                          Working within GRM, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                                                          -

                                                                          -

                                                                          Key Accountabilities
                                                                          1. Participate in the strategic management of debt collections by:
                                                                          • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                                                          • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                                                          • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                                                          • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                                                          • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                                                          • Ensuring future enhancements continue to be identified and implemented
                                                                          • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus

                                                                          -

                                                                          -

                                                                          2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:
                                                                          • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                                                          • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                                                          • Streamlining and/or integrating automation and technology
                                                                          • Continually challenging the ‘status quo’ through innovation
                                                                          • Support construction of a Centre of Excellence in Collections

                                                                          -

                                                                          -

                                                                          Functional Competencies
                                                                          • Two to three years’ experience in credit risk and/or retail banking
                                                                          • Experience with statistical software packages such as R, SAS or SQL (required)
                                                                          • Experience with Power Business Intelligence (highly desired)
                                                                          • Strong leadership, collaboration, and communication skills
                                                                          • Degree in business, economics, statistics, or computer science
                                                                          • Experience with using credit risk scores and their application in strategies
                                                                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture (highly desired)
                                                                          • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis (highly desired)
                                                                          • A University degree in Economics, Finance, Business, Mathematics, or Computer science

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager-Data-Analytics%2C-Collections-Strategies-ON-M5H1B6/572782317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-16T21:03:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/260749016-manager-data-analytics-collections-strategies-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Data-Analytics%2C-Collections-Strategies-ON-M5H1B6/572782317/,expired,2023-08-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -bd7a6447-353e-4aff-834d-3a6f938b7b30,269068334,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-12T02:24:02.400Z,"
                                                                          -

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          -

                                                                          Role Summary:

                                                                          -

                                                                          Sun Life Financial is a leading international financial services organization providing a diverse range of insurance, wealth and asset management solutions to individual and corporate Clients. Canadian Group Benefits business is the largest private payer of healthcare in Canada with over 3 million members. Our goal is to help Canadians lead healthier lives through workplace benefit programs, ensure outstanding experience when they engage with Sun Life and equip them with tools to manage their health needs.

                                                                          -

                                                                          -

                                                                          GB Analytics team has a mandate to work across functions to deliver insights critical for business decisions, identify growth opportunities and use data to improve health and financial outcomes. The team collaborates closely with Canadian Data & Analytics and Enterprise Services teams.

                                                                          -

                                                                          -

                                                                          Reporting to AVP, Analytics and Strategy as Senior Data Engineer, you will accelerate the growth and application of analytics across Group Benefits. You will also leverage practical experience in applying varied data engineering techniques and design, develop and implement analytics use cases.

                                                                          -

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          Job Requirements

                                                                          +
                                                                          +What can you bring to TD?

                                                                            -
                                                                          • Work directly with business stakeholders throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts.
                                                                          • -
                                                                          • Provide plans and estimates for data engineering and business intelligence initiatives
                                                                          • -
                                                                          • Lead development of new batch/low-latency analytical solutions that leverages both traditional and emerging technologies
                                                                          • -
                                                                          • Design, develop and implement highly scalable data capture and transformation processes
                                                                          • -
                                                                          • Create effective ETLs/ELTs to move large volumes of data from various operational systems to dimensional data models for analytics consumption
                                                                          • -
                                                                          • Act as principal designer and reviewer for new data models, make data architectural decision, and provide coaching on data modeling and process design
                                                                          • -
                                                                          • Expand and grow data existing platform capabilities to solve new data problems and challenges
                                                                          • -
                                                                          • Ensure all automated processes preserve data integrity by managing the alignment of data availability and integration processes
                                                                          • -
                                                                          • Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources
                                                                          • -
                                                                          • Identify opportunities for new data acquisition and new uses for existing data resources
                                                                          • -
                                                                          • Research and make recommendations for new data management technologies and software engineering practices. Collaborate on decisions around the use of new tools and practices
                                                                          • -
                                                                          • Perform quality assurance and testing according to risk assessment guidelines to minimize operational, reputation, and legal risk.
                                                                          • -
                                                                          • Define data retention policy, establish data governance best practice, and create automated anomaly detection services
                                                                          • -
                                                                          • Document and update business continuity and disaster recovery procedures.
                                                                          • -
                                                                          • Engage in ongoing collaboration with data architects, modelers and other members to achieve common goals.
                                                                          • -
                                                                          • Provide guidance to development teams regarding best practices and design patterns for analytics solutions. Coach and provide guidance to junior team members
                                                                          • -
                                                                          • Produce and maintain support documentation for ongoing operations.
                                                                          • -
                                                                          • Act as Tier-2/3 support to troubleshoot and resolve technical issues with production data models and
                                                                          • -
                                                                          • Turn complex data into easy to understand data models that are aligned to business objectives
                                                                          • -
                                                                          • Develop a user experience that is simple, yet flexible and enable the data scientists and business intelligence developers that use this data
                                                                          • -
                                                                          • Incorporate data governance and access controls for data management and access in Tableau
                                                                          • -
                                                                          • Manage and coach data analyst on the team in their analytics development journey
                                                                          • +
                                                                          • Strong ownership mentality, proactive attitude, and ability to get things done
                                                                          • +
                                                                          • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
                                                                          • +
                                                                          • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                                                          • +
                                                                          • Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
                                                                          • +
                                                                          • Ability to translate complex problems and solutions into a simple story, tailored to executive audiences
                                                                          • +
                                                                          • Excellent interpersonal and communication skills, both written and verbal
                                                                          • +
                                                                          • Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry
                                                                          • +
                                                                          • Understanding of products and strategies to challenge business cases and analyses
                                                                          • +
                                                                          • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                                                          • +
                                                                          • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                                                          • +
                                                                          • Strong understanding of test and experimental design (Test and Learn)
                                                                          • +
                                                                          • Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally
                                                                          -

                                                                          -

                                                                          What do you need to succeed?

                                                                          -

                                                                          -

                                                                          Education and Experience

                                                                          -
                                                                          • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                                                                          +

                                                                          Technical Experience:

                                                                            -
                                                                          • Expertise in visual data model design and business intelligence principles
                                                                          • -
                                                                          • 5+ years of experience in:
                                                                              -
                                                                            • Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data
                                                                            • -
                                                                            • Cloud platforms like Amazon Web Services (AWS)
                                                                            • -
                                                                            • SQL Programming, PL/SQL and stored procedures
                                                                            • -
                                                                            • Experience with Glue and ETL development is a bonus
                                                                            • -
                                                                            • Experience working with Cloud technologies like Amazon Web Services (AWS)
                                                                            • -
                                                                            • Working in an agile development environment including rapid prototyping during sprints
                                                                            • +
                                                                            • Relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                                                                            • +
                                                                            • Experience with SQL Server, Python, and Excel skills are required
                                                                            • +
                                                                            • Knowledge of PySpark, Jupyter Notebooks, data mining tools such as Microsoft Applications (SSMS, Azure cloud, Office suite) and Bitbucket are all assets
                                                                            • +
                                                                            • Demonstrated knowledge in some of the following areas:
                                                                                +
                                                                              • Unsupervised Learning techniques
                                                                              • +
                                                                              • Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
                                                                              • +
                                                                              • Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
                                                                              • +
                                                                              • Data visualization and storytelling in Tableau
                                                                            • +
                                                                            • Educational Requirements/Accreditations:
                                                                              • Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience
                                                                              +
                                                                            -

                                                                            Competencies:

                                                                            -
                                                                              -
                                                                            • Experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services
                                                                            • -
                                                                            • Solid understanding of data warehousing principles, architecture and its implementation in complex environments.
                                                                            • -
                                                                            • Hands-on experience with development of ELT/ETL processes in traditional and distributed environments
                                                                            • -
                                                                            • Experience as designer of complex Dimensional data models for analytics services
                                                                            • -
                                                                            • Experience with development for Microsoft SQL Server Analysis Services or equivalent technologies
                                                                            • -
                                                                            • Experience with various testing methodologies and user acceptance testing.
                                                                            • -
                                                                            • Solid skills in SQL, Python and other languages used in data manipulation
                                                                            • -
                                                                            • Experience with Hadoop and Big Data technology
                                                                            • -
                                                                            • Experience with processing large datasets from multiple sources.
                                                                            • -
                                                                            • Ability to operate effectively and independently in a dynamic, fluid environment.
                                                                            • -
                                                                            • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.
                                                                            • -
                                                                            • Demonstrated ability to exchange ideas and convey complex information clearly and concisely
                                                                            • -
                                                                            • Proven ability to lead and drive projects and assignments to completion
                                                                            • -
                                                                            • Experience Tableau data sources and organizing them in structured dimensions and measures for business use
                                                                            • -
                                                                            • End-to-End development experience in Tableau and ability to create complex calculations including Custom SQL, Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                                                                            • -
                                                                            • Using blending, sorting, sets and maps in Tableau
                                                                            • -
                                                                            • Leveraging Tableau Prep for data organization and scheduling
                                                                            • -
                                                                            • Ability to understand data modeling based on user specs
                                                                            • -
                                                                            • Experience tuning the performance of Tableau Server dashboards to optimize client experience
                                                                            • -
                                                                            • Designing custom landing pages for Tableau Server for enhanced user experience and tracking utilization
                                                                            • -
                                                                            • Strong understanding of the economics of the business intelligence value stream and the value proposition of analytics services
                                                                            • -
                                                                            • Ability to work independently, manage engagements or parts of large engagements directly with business partners.
                                                                            • -
                                                                            • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                                                                            • -
                                                                            • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                                                                            • -
                                                                            • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
                                                                            • -
                                                                            -

                                                                            -

                                                                            What will be nice to have?

                                                                            +
                                                                          +

                                                                          +

                                                                          Additional Information

                                                                          +
                                                                          #BusinessInsights #LI-Hybrid
                                                                          +

                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +
                                                                          +

                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          +
                                                                          +

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19649952/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-18T16:33:05.059Z,False,0,5,70,https://talenthub.vectorinstitute.ai/jobs/298833066-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19649952/sr-business-insights-analyst-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +94f4e5b8-0194-44f0-bdaf-81484dc5e339,300037863,NVIDIA,"PhD Research Intern, Autonomous Vehicles - Summer 2024",on_site,Canada,2024-01-11T16:41:41.438Z,"

                                                                          We are now recruiting top Research Interns (Autonomous Vehicle Research)! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?

                                                                          +

                                                                          +

                                                                          These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.

                                                                          +

                                                                          +

                                                                          What you'll be doing:

                                                                            -
                                                                          • Tableau development and designing dashboards experience
                                                                          • -
                                                                          • Tableau PostgreSQL hands-on analysis
                                                                          • -
                                                                          • Tableau Server and Site administration in prior roles
                                                                          • -
                                                                          • Tableau Desktop and Server / Site Admin Certifications are a bonus
                                                                          • -
                                                                          • Statistical analysis and experience with Python or R prior training or projects
                                                                          • -
                                                                          • PMP and/or Scrum Master certification and experience with SAFe (Scaled Agile Framework)
                                                                          • -
                                                                          • Experience with Lean Six Sigma principles
                                                                          • +
                                                                          • Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
                                                                          • +
                                                                          • Publishing your original research.
                                                                          • +
                                                                          • Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
                                                                          • +
                                                                          • Transferring technology you've developed to relevant product groups.
                                                                          -
                                                                          • Experience in Group Benefits and Insurance or Financial Services Industry
                                                                          -

                                                                          -

                                                                          Unique Job Requirement

                                                                          +

                                                                          What we need to see:

                                                                            -
                                                                          • The candidate selected for this role is required to get or already have special Government clearance from the Royal Canadian Mounted Police
                                                                          • -
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                                                          • +
                                                                          • Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
                                                                          • +
                                                                          • Relevant research experience in the field of vehicle / robot autonomy.
                                                                          • +
                                                                          • Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
                                                                          • +
                                                                          • A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
                                                                          • +
                                                                          • Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
                                                                          • +
                                                                          • Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
                                                                          • +
                                                                          • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.

                                                                          -

                                                                          What\'s in it for you?

                                                                          +

                                                                          Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

                                                                          +

                                                                          The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                          +

                                                                          You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/PhD-Research-Intern--Autonomous-Vehicles---Summer-2024_JR1977858,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-02-10T16:41:43.842Z,False,0,7,81,https://talenthub.vectorinstitute.ai/jobs/300037863-phd-research-intern-autonomous-vehicles-summer-2024-at-nvidia,,expired,2024-01-11T16:41:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,PhD,New Posting, +a7a9cd1d-47d2-4c7b-8d9a-714f26238cfd,303576645,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2024-02-01T06:24:01.562Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -
                                                                            -
                                                                          • Competitive salary and bonus structure influenced by market range data
                                                                          • -
                                                                          • 20 days vacation per year and an innovative sabbatical program
                                                                          • -
                                                                          • Great Place to Work® Certified in Canada and the US - 2022
                                                                          • -
                                                                          • -Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote -
                                                                          • -
                                                                          • A friendly, collaborative and inclusive culture
                                                                          • -
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                                          • -
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family
                                                                          • -
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                                          • -
                                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                                                                          • -
                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          +

                                                                          What You’ll Be Doing

                                                                          -

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          +

                                                                          As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                                                          -

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                                                          -

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          -

                                                                          Salary Range:

                                                                          74,100/74 100 - 120,800/120 800

                                                                          -

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          17/09/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00085596?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-09-19T02:29:02.145Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/269068334-senior-data-engineer-at-sun-life-financial,,expired,2023-09-12T02:24:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9022bfcc-287a-4410-a1a3-7f153cf95628,269830609,Magna International,Data Analyst,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-09-14T16:29:02.746Z,"
                                                                          -
                                                                          -

                                                                          Position Summary

                                                                          -
                                                                          The Data Analyst will be tasked with managing and organizing data into a format that can be easily analyzed.
                                                                          -
                                                                          -
                                                                          -

                                                                          Key Responsibilities

                                                                          -
                                                                          -
                                                                          The below list includes a general overview of job responsibilities and is not exhaustive.
                                                                          -
                                                                          • Preparation of Regional purchasing reports. Ensuring prompt Divisional submissions, verification and consolidation of Divisional data into Regional. (PPV & Cost Reduction, Spend Data, Opportunities & Strategies).
                                                                          • Data mining and consolidating to create value added reports, presentations, and executive summaries.
                                                                          • Verification and follow up of data integrity – PPV submissions, Commodity reports, Global Spend Analytics.
                                                                          • Cross functional data management projects with Divisions, Global Commodity Teams, and Regional Purchasing Director.
                                                                          • Enhance data management and analytical tools through digitalization and automation.
                                                                          • Oversight and management of purchasing data management, analytics, and reporting.
                                                                          • Alignment and cross functional with MML Americas Divisions, Regional Director, and Global Commodity Team.
                                                                          • -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          Key Qualifications/Requirements

                                                                          -
                                                                          • Education Preferred: Bachelor’s/Master’s Degree in Business, Engineering, Statistics, Computer Science,Mathematics, Supply Chain or equivalent combination of education and experience.
                                                                          • Years of Experience Required: Minimum three (3) years of related experience required
                                                                          • Expert in Microsoft Suite (Excel, Outlook, etc. and also including PowerBI)
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          Awareness. Unity. Empowerment.

                                                                          -
                                                                          At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
                                                                          -
                                                                          -
                                                                          ",,https://jobs.magna.com/job/Newmarket-Data-Analyst-ONTA-L3X-2S2/572589517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-09-19T03:16:00.000Z,False,0,18,50,https://talenthub.vectorinstitute.ai/jobs/269830609-data-analyst-at-magna-international,https://jobs.magna.com/job/Newmarket-Data-Analyst-ONTA-L3X-2S2/572589517/,expired,2023-09-14T16:29:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -4d28ee37-ba66-4881-ade4-56b9fa8783ee,237886659,Vector Institute (Internal Opportunities Only),Anomaly Detection Workshop - Instructor,full,Anywhere,2023-06-20T20:08:21.401Z,"

                                                                          Please note this position will not be formally contracted until the enrollment is finalized and the program is confirmed as running. Confirmation is expected on or before August 8, 2023. The decision on whether to proceed with the program is dependent on the number of participant registrations (i.e., a minimum number of participants must be registered).

                                                                          -

                                                                          We are advertising for these positions in advance of August 8, 2023, so we are able to move quickly on staffing and developing the program content once confirmed. Any work done prior to the program confirmation will be remunerated accordingly, even if the program is cancelled.

                                                                          -

                                                                          Please note that the Vector Institute will conduct an evaluation of workshop participants to both evaluate the performance of the instructors, as well as consider program improvements for future iterations.

                                                                          -

                                                                          The instructor(s) for this program may be asked to provide their service to other programs of similar type, where offered by the Vector Institute in the same fiscal year, provided they receive positive feedback from the program participants and receive successful evaluation from Vector’s Technical Education Specialists (TES).

                                                                          -

                                                                          STATEMENT OF WORK: Accelerated Workshop: Anomaly Detection - Instructor

                                                                          -

                                                                          This Instructor position is for the development and delivery of a 3-day accelerated Anomaly Detection workshop This workshop will be offered prior to the Anomaly Detection bootcamp organized by Vector’s Projects team to refresh and upskill novice bootcamp participants.

                                                                          -

                                                                          Program Dates: August 15, 17, 21, 2023; 1pm – 3pm EST

                                                                          -

                                                                          Location: This 3-day workshop will be delivered online via Zoom

                                                                          -

                                                                          Instructor activities include:

                                                                          -

                                                                          Administration

                                                                          -
                                                                            -
                                                                          • Prepare lecture content and slides in partnership with the PD, Projects and AI Engineering teams
                                                                          • -
                                                                          • Ensure that all course materials (e.g. lesson objectives, slides, discussion prompts, assignment activities) are prepared in advance of the lecture time and are available in the Vector Learning Management System (LMS), currently D2L
                                                                          • -
                                                                          • Attend scheduled program team meetings: planning and debrief (typically weekly)
                                                                          • -
                                                                          • Supervise TAs on preparation of tutorial content
                                                                          • -
                                                                          • Deliver three 2-hour lectures on the topic “Anomaly Detection”
                                                                          • -
                                                                          • Teach all lectures in the program on time, to a high standard of service, and in an environment free of distractions.
                                                                          • -
                                                                          • Respond to questions from participants as required
                                                                          • -
                                                                          -

                                                                          Teaching and evaluations

                                                                          -

                                                                          Fees: This is a paid position. The flat fee for this workshop is $3,000 (CAD) in total for development, delivery, and administration. An invoice must be submitted at the end of the workshop. All fees are payable at the end of the workshop, and upon completion of all contractual responsibilities.

                                                                          -

                                                                          Workshop Structure

                                                                          -

                                                                          Prior to the commencement of the workshop, touchpoints include:

                                                                          +

                                                                          How You’ll Succeed

                                                                            -
                                                                          • Team kick-off/ curriculum development meeting
                                                                          • -
                                                                          • Team progress meeting
                                                                          • +
                                                                          • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                                                          • +
                                                                          • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                                                          • +
                                                                          • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                                                          • +
                                                                          • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                                                          • +
                                                                          • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                                                          -

                                                                          These meetings will accommodate schedules as much as possible.

                                                                          -

                                                                          Lessons

                                                                          +

                                                                          +

                                                                          Who You Are

                                                                            -
                                                                          • Lectures: August 15, 17, 21, 2023 (Tuesday, Thursday, Monday), 1:00 pm – 3:00 pm EST
                                                                          • -
                                                                          • TA Office Hours: Days to be confirmed, 7 pm – 8 pm EST (TBC)
                                                                          • +
                                                                          • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                                                          • +
                                                                          • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                                                          • +
                                                                          • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                                                          • +
                                                                          • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                                                          • +
                                                                          • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                                                          • +
                                                                          • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                                                          • +
                                                                          • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                                                          • +
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                          -

                                                                          The time of TA office hours will be determined by the availability of the TAs but shall be consistent throughout the workshop. The 7pm – 8pm time slot is preferred to accommodate work/life/professional development balance for the participants and provide timely support to complete their assignments.

                                                                          -

                                                                          Workshop Content

                                                                          -

                                                                          Please note: This is a projected high-level overview. The topics and content will be finalized once an instructor has been hired.

                                                                          -

                                                                          Day 1: Introduction to Anomaly Detection

                                                                          -

                                                                          I. Introduction (30 mins)

                                                                          -

                                                                          II. Anomaly Detection in Tabular Data (45 mins)

                                                                          -

                                                                          III. Anomaly Detection in Computer Vision (45 mins)
                                                                          -
                                                                          -

                                                                          -

                                                                          Day 2: Deep Dive into Anomaly Detection Methods

                                                                          -

                                                                          I. Advanced Anomaly Detection in Tabular Data (40 mins)

                                                                          -

                                                                          II. Advanced Anomaly Detection in Computer Vision (40 mins)

                                                                          -

                                                                          III. Introduction to Anomaly Detection in Graph Data (40 mins)
                                                                          -
                                                                          -

                                                                          -

                                                                          Day 3: Advanced Techniques and Real-world Applications

                                                                          -

                                                                          I. Advanced Anomaly Detection in Graph Data (40 mins)

                                                                          -

                                                                          II. Anomaly Detection in Financial Data (40 mins)

                                                                          -

                                                                          III. Conclusion and Future Directions (40 mins)
                                                                          -
                                                                          -

                                                                          -

                                                                          Pedagogical Approach

                                                                          -

                                                                          Workshop sessions will be delivered in an interactive lecture/discussion format, with practical examples and case studies used to spark reflection and discussion. All sessions will be delivered online via Zoom.

                                                                          -

                                                                          Level of Training and Learner Prerequisites

                                                                          -

                                                                          Pre-requisites: Basic knowledge of Python and Machine Learning. Familiarity with PyTorch or TensorFlow would be beneficial but is not mandatory. Basic understanding of Graph Theory is helpful but not necessary. Throughout the course, participants will be given code snippets and datasets to practice the discussed concepts. By the end of the workshop, participants should have a clear understanding of how to detect anomalies in tabular data, image data, and graph data, and how to apply these techniques in real-world situations.

                                                                          -

                                                                          Application

                                                                          -

                                                                          To apply, please submit your CV and cover letter to learn@vectorinstitute.ai.

                                                                          -

                                                                          Interested parties are strongly encouraged to apply as soon as possible. Applications will be reviewed on a rolling basis until filled.

                                                                          ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2023-07-20T20:42:52.153Z,False,2,0,39,https://talenthub.vectorinstitute.ai/jobs/237886659-anomaly-detection-workshop-instructor-at-vector-institute-internal-opportunities-only,,expired,2023-06-20T20:08:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, -107d4d44-37d8-43dd-8ac2-bdd58487433d,275901476,RBC,"GRM, Risk Analyst Intern",on_site,"Toronto, ON, Canada",2023-10-02T12:21:02.815Z,"
                                                                          -

                                                                          Come Work with Us!

                                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                          -

                                                                          Job Title

                                                                          GRM, Risk Analyst Intern

                                                                          -

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          The Market Risk group provides independent and effective on-site monitoring, controlling and communicating on the nature and extent of all material market and trading credit risks and to ensure the implementation of and compliance with risk management policies and procedures. The incumbent will lead in developing and promoting a “Best in Class” risk oversight environment for the market risk associated with RBC’s Commodities Trading business and activities

                                                                          +

                                                                          What CIBC Offers

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                            -
                                                                          • Oversee and enhance risk control processes for Local market risk: Develop key sensitivity metrics, implement metrics and establish risk reporting; establish and implement appropriate limits to ensure that business is operating within approved policies and limits; identify supplementary risk controls that may be required to manage the risks and exposure as necessary
                                                                          • -
                                                                          • Monitor trading activities and exposures to ensure they are within approved policies and limits, and that reports are timely and accurate.
                                                                          • -
                                                                          • Provide insights and commentary on key risks and exposures versus market trends and potential events.
                                                                          • -
                                                                          • Work on a particular project to improve the market risk framework.
                                                                          • +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          -

                                                                          What do you need to succeed?

                                                                          -

                                                                          Must-have

                                                                          -
                                                                            -
                                                                          • A Master’s degree in Finance, Economics or a Quantitative subject
                                                                          • -
                                                                          • Knowledge of market risk concepts (sensitivity analysis, VaR, stress testing etc.)
                                                                          • -
                                                                          • Knowledge of financial products: Forwards, Swaps, Options.
                                                                          • -
                                                                          • Strong written and oral communication skills with the ability to condense complex details into narratives suitable for communication with senior risk and business management
                                                                          • -
                                                                          • Sufficiency in Excel-VBA, and other programming languages like Python and/or SQL.
                                                                          • -
                                                                          -

                                                                          Nice-to-have

                                                                          -
                                                                            -
                                                                          • Proven experience with Python and SQL.
                                                                          • -
                                                                          • Knowledge of commodity markets (Oil, Natural Gas, Precious and Base Metals, etc).
                                                                          • -
                                                                          +

                                                                          *Subject to plan and program terms and conditions

                                                                          -

                                                                          What’s in it for you?

                                                                          -

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +

                                                                          What you need to know

                                                                            -
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • -
                                                                          • Ability to make a difference and lasting impact
                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • -
                                                                          • Opportunities to do challenging work and make a difference
                                                                          • -
                                                                          • Opportunities to building close relationships
                                                                          • -
                                                                          • Opportunity to learn variety of asset classes within RBC business units
                                                                          • -
                                                                          • Opportunity to learn and lead comprehensive and amalgamated ’commodities businesses and strategies’ within Market Risk
                                                                          • -
                                                                          • Potential to utilize transferable skills and grow within other related business areas
                                                                          • +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                          -

                                                                          Please note: This posting is for a 4-months Winter 2024 Student placement with a start date of January 2024, and end date of April 2024. In order to be eligible for this 4-months Student position, you must either:

                                                                          -
                                                                            -
                                                                          • Be returning back to school after the work term end-date of April 2024 ; or
                                                                          • -
                                                                          • If you are not returning back to school (i.e. are graduating in April 2024), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.
                                                                          • -
                                                                          -

                                                                          Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

                                                                          -

                                                                          We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 6, 2023. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                                          -

                                                                          RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Summary

                                                                          Implements market risk analysis and participates in implementing risk management systems and processes to minimize market risk. Applies complete knowledge, skills, and practices to perform assignments.

                                                                          Address:

                                                                          ROYAL BANK PLAZA, 200 BAY ST:TORONTO

                                                                          City:

                                                                          CAN-ON-TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Group Risk Management

                                                                          Job Type:

                                                                          Student/Coop (Fixed Term)

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-09-26

                                                                          Application Deadline:

                                                                          2023-10-06
                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -
                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000068590/GRM-Risk-Analyst-Intern,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-09T12:26:02.302Z,False,0,4,47,https://talenthub.vectorinstitute.ai/jobs/275901476-grm-risk-analyst-intern-at-rbc,,expired,2023-10-02T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -18f13979-8c27-4770-8ad6-4f2bf2cb4c11,275901569,OMERS,"Data Analyst, Investment Finance",on_site,"Ontario, Canada",2023-10-02T12:30:03.576Z,"
                                                                          -

                                                                          -

                                                                          -

                                                                          The Data Analyst will be part of the Toronto based Financial Systems & Workflows Team within the Investment Finance Division, reporting to the Manager, Financial Systems & Workflow. The DataAanalyst will support the development of the portfolio analytics capabilities and support BI solutions for the Investment Finance team and its stakeholders to make informed decisions. The Data Analyst will work with various datasets, employ various data analysis techniques, and communicate their findings to stakeholders. To succeed in this role, the ideal individual needs a strong attention to detail and be a team player with a proven ability to build relationships between the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                          -

                                                                          CORE RESPONSIBILITIES:

                                                                          -
                                                                            -
                                                                          • Design and develop comprehensive dashboards and reporting leveraging Power BI or similar business intelligence tools
                                                                          • -
                                                                          • Work across functional areas to understand and identify reporting objectives to develop relevant reporting capabilities
                                                                          • -
                                                                          • Collect, cleanse, and process data sets from various sources, including databases, spreadsheets and external sources to ensure accuracy and consistency
                                                                          • -
                                                                          • Identify, analyze, interpret and report on trends or patterns in data sets
                                                                          • -
                                                                          • Review extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, data integrity issues, and follow the divisional data governance policies
                                                                          • -
                                                                          • Explore data sets and draw meaningful conclusions and insights, including identifying critical metrics and KPIs
                                                                          • -
                                                                          • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting
                                                                          • -
                                                                          • Conduct gap analysis to identify and recommend process improvements that affect data quality
                                                                          • -
                                                                          • Investigate, evaluate and/or propose solutions to identified problems
                                                                          • -
                                                                          • Collaborate with cross-functional teams, including finance, accounting, and IT, to address data-related challenges
                                                                          • -

                                                                          -

                                                                          QUALIFICATIONS:

                                                                          -
                                                                            -
                                                                          • 3+ years of experience in financial management and investment support environment with exposure to relevant applications and workflow activities
                                                                          • -
                                                                          • University degree in Accounting, Finance, Mathematics, Computer Science, or related discipline
                                                                          • -
                                                                          • Experience with data visualization tools like Power BI, or data visualization libraries
                                                                          • -
                                                                          • Strong proficiency in data analysis tools and programming languages, such as Alteryx, SQL Python or others
                                                                          • -
                                                                          • Strong communication skills (written and verbal) to effectively convey complex findings to non-technical stakeholders
                                                                          • -
                                                                          • Experience in defining, implementing, and supporting innovative business solutions
                                                                          • -
                                                                          • Familiarity with database systems and data storage technologies
                                                                          • -
                                                                          • Experience with machine learning and predictive modeling is an asset
                                                                          • -
                                                                          • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment
                                                                          • -

                                                                          -

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          -

                                                                          -

                                                                          Our story:

                                                                          -

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          -

                                                                          -

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Investment-Finance_JR-5432?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-10-09T12:35:02.806Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/275901569-data-analyst-investment-finance-at-omers,,expired,2023-10-02T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6ef4d607-1bc3-4c48-83d9-802341e639d3,274553907,BMO Financial Group,"Head, Business Intelligence & Insights",on_site,"Ontario, Canada",2023-09-28T12:19:02.034Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          10/09/2023

                                                                          +

                                                                          Job Location

                                                                          161 Bay Street, 39th Floor

                                                                          +

                                                                          Employment Type

                                                                          Regular

                                                                          +

                                                                          Weekly Hours

                                                                          37.5

                                                                          +

                                                                          Skills

                                                                          Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2402312?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-02-12T06:29:01.720Z,False,0,1,39,https://talenthub.vectorinstitute.ai/jobs/303576645-director-treasury-quantitative-analytics-at-cibc,,expired,2024-02-01T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +6eacc786-c865-496f-b632-fd79caac3962,305243732,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-02-08T06:44:01.795Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Do you have a passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                          +

                                                                          The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                          +

                                                                          +

                                                                          As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          As Head, Business Intelligence & Insights, you will play a crucial role in shaping our strategic direction by leveraging data to help senior leadership make informed decisions, manage risks, and drive innovation. You will lead a high-performing team and implement business intelligence initiatives that will help BMO Global Asset Management (GAM) deliver an optimal client experience, grow revenue, and drive efficiency. This role requires a leader who is strategic minded, has exceptional technical skills, and has a proven track record of success in building advanced analytics teams and capabilities.

                                                                          +

                                                                          You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                          +

                                                                          To achieve this, we will be leveraging many systems across Sun Life, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                          -

                                                                          KEY RESPONSIBILITIES

                                                                          +

                                                                          What will you do?

                                                                          +
                                                                            +
                                                                          • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                          • +
                                                                          • Analytic work from requirements specification, data gathering, analysis of presentations to solve business problems.
                                                                          • +
                                                                          • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                          • +
                                                                          • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                          • +
                                                                          • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                          • +
                                                                          • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                          • +
                                                                          • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. +
                                                                          • +
                                                                          • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                                                          • +

                                                                          -

                                                                          Leadership & Strategy

                                                                          +

                                                                          What do you need to succeed?

                                                                            -
                                                                          • Develop and execute the vision and roadmap for Business Intelligence & Insights capabilities to support BMO GAM growth strategy
                                                                          • -
                                                                          • Collaborate with senior leadership to identify opportunities for data-driven growth and efficiency improvements
                                                                          • +
                                                                          • 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                          • +
                                                                          • 5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                          • +
                                                                          • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                          • +
                                                                          • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                          • +
                                                                          • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                          • +
                                                                          • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                          • +
                                                                          • Comfortable learning new applications and processes quickly with minimal direction
                                                                          • +
                                                                          • Ability to document work.

                                                                          -

                                                                          Team management

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • Lead and mentor a team of analysts, data scientists, and business intelligence professionals
                                                                          • -
                                                                          • Foster a culture of continuous improvement, innovation, and learning
                                                                          • +
                                                                          • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                          • +
                                                                          • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                          • +
                                                                          • Experience in Salesforce
                                                                          • +
                                                                          • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                          • +
                                                                          • Additional statistical programming languages (i.e SAS/R)
                                                                          • +
                                                                          • Advanced user of MS Excel and MS Access

                                                                          -

                                                                          Insights & Analysis

                                                                          +

                                                                          Unique Requirements?

                                                                            -
                                                                          • Leverage advanced analytics capabilities (predictive, prescriptive, and machine learning) to uncover patterns, trends, and insights that may not be apparent through traditional descriptive or diagnostic analytics. Leverage these capabilities to help forecast market trends, customer demands, and emerging technologies
                                                                          • -
                                                                          • Drive innovation and competitive advantage by uncovering insights from data to identify new market opportunities, innovative product ideas, or process improvements
                                                                          • +
                                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                          • +
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                          -

                                                                          Reporting & Visualization

                                                                          +

                                                                          What’s in it for you?

                                                                            -
                                                                          • Research and apply continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights
                                                                          • -
                                                                          • Establish reporting dashboards using visualization techniques that help users quickly identify key trends and business metrics that are actionable and relevant to them
                                                                          • -
                                                                          • Develop tools and training programs for “self-serve analytics”; may include delivery of training to audiences
                                                                          • +
                                                                          • Great Place to Work® Certified in Canada and the US - 2022
                                                                          • +
                                                                          • Great Place to Work® award for Best Workplaces for #HybridWork
                                                                          • +
                                                                          • 2022 Named “Best Places to Work” by Glassdoor - 2021
                                                                          • +
                                                                          • Canada Award for Excellence for Mental Health at Work
                                                                          • +
                                                                          • 2021 Flexible hybrid work model including in-country work-from-home if you prefer.

                                                                          -

                                                                          Data Governance

                                                                          -
                                                                          • Document data flow, systems, and processes to improve the design, implementation, and management of business/group processes
                                                                          +

                                                                          #LI-Hybrid #LI-remote

                                                                          -

                                                                          Technology & Tools

                                                                          +

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          +

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          +

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          +

                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          +

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          08/02/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00089806?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-02-12T06:49:02.600Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/305243732-senior-data-analyst-at-sun-life-financial,,expired,2024-02-08T06:44:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6b4ebafd-effd-4d70-b19e-13f1c2d4aff2,308084618,NVIDIA,"Solutions Architect Intern, AI – Summer 2024",full,Canada,2024-02-22T19:45:11.580Z,"

                                                                          Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect Intern to join our team in Canada and help customers solve challenging problems using AI!

                                                                          +

                                                                          +

                                                                          Solutions Architects are the primary technical contacts for our customers and engage deeply with scientific researchers and application developers. We need individuals who can develop positive relationships with researchers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to foster machine learning technical engagements with AI Institutions in Canada. You should be comfortable working in a dynamic environment, and your ability to work independently is important.

                                                                          +

                                                                          +

                                                                          What you’ll be doing:

                                                                            -
                                                                          • Evaluate and implement digital tools that enhance data insight capabilities
                                                                          • -
                                                                          • Stay up to date with the latest BI and analytics technologies and tools
                                                                          • +
                                                                          • Engage with AI researchers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs.
                                                                          • +
                                                                          • Facilitate AI research activities on the NVIDIA platform.

                                                                          -

                                                                          Stakeholder Collaboration

                                                                          +

                                                                          What we need to see:

                                                                            -
                                                                          • Partner with Marketing, Digital, and Distribution teams to create personalized client experiences by leveraging data to understand individual preferences, behaviors, and needs. Uncover insights that will allow us to create personalized product recommendations, tailored marketing messages, and customized digital experiences
                                                                          • -
                                                                          • Foster strong internal and external networks and work with and across multiple teams to achieve business objectives
                                                                          • -
                                                                          • Collaborate with cross-functional teams to understand their data needs and provide tailored solutions
                                                                          • -
                                                                          • Present insights and recommendations to senior leadership and other key stakeholders
                                                                          • +
                                                                          • Pursuing a BS, MS, or PhD in Computer Science, Engineering, or related field.
                                                                          • +
                                                                          • Experience with modern deep learning software architectures and frameworks including TensorFlow, PyTorch, JAX, or other deep learning frameworks.
                                                                          • +
                                                                          • Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran.
                                                                          • +
                                                                          • Experience with GPUs.

                                                                          -

                                                                          QUALIFICATIONS

                                                                          +

                                                                          Ways to stand out from the crowd:

                                                                            -
                                                                          • Proven experience building & leading a Data Science function
                                                                          • -
                                                                          • Strong understanding of the Asset Management business would be an asset
                                                                          • -
                                                                          • Typically, 9+ years of direct experience in this field or 15+ years of relevant experience and post-secondary degree (MMA, PhD, Master’s Engineering or Computer Science) or an equivalent combination of education and experience
                                                                          • -
                                                                          • Seasoned expert with extensive industry knowledge
                                                                          • -
                                                                          • Technical leader viewed as a thought leader for innovation
                                                                          • -
                                                                          • Expert level of proficiency in all aspects of advanced data & analytics tools and capabilities
                                                                          • +
                                                                          • Excellent knowledge of theory and practice of reinforcement learning.
                                                                          • +
                                                                          • CUDA/GPU optimization experience.
                                                                          • +
                                                                          • Strong analytical and problem-solving skills.

                                                                          +

                                                                          NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

                                                                          +

                                                                          +

                                                                          The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                          +

                                                                          You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          +

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Solutions-Architect-Intern--AI---Summer-2024_JR1974863,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-03-14T18:58:00.000Z,False,0,41,195,https://talenthub.vectorinstitute.ai/jobs/308084618-solutions-architect-intern-ai-summer-2024-at-nvidia,,expired,2024-02-22T19:45:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, +06057a3d-5932-4f7b-a9fb-f16f4f6d8cca,306574225,Vector Institute,"Director, Data Strategy and Partnerships",on_site,"Ontario, Canada",2024-02-15T06:42:02.093Z,"

                                                                          POSITION SUMMARY

                                                                          +

                                                                          Director, Data Strategy and Partnerships

                                                                          +

                                                                          The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to working across sectors to advance AI application, adoption, and commercialization across Canada.

                                                                          +

                                                                          The Vector Institute is seeking a Director, Data Strategy and Partnerships to join our team in Toronto. Reporting to the Chief Data Officer, the successful candidate will work cross-functionally across Vector’s Health and Technology, Industry, AI Engineering, and Research and Academic Operations work streams and with external stakeholders to:

                                                                          +
                                                                            +
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • +
                                                                          • Foster existing and new data partnerships with public and private sector stakeholders to further Vector’s mission; and,

                                                                          • +
                                                                          • Lead Vector’s data governance program spanning Vector’s private and secure Data and Analytics Environments and business operations.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Profile of the Ideal Candidate

                                                                          +

                                                                          A results-driven and strategic thinker who understands the AI product life cycle and the complexities of accessing sensitive data for the purposes of AI and ML research, innovation, and education. You have a strong track record of identifying and fostering collaborative data sharing partnerships and experience driving continuous quality improvement of policies, processes, and implementation of data governance, management, and privacy best practices.

                                                                          +

                                                                          You are an effective team leader, with experience leading highly qualified and diverse staff to work together on common goals and successfully meet and advance business objectives. Your leadership and interpersonal skills allow you to navigate, develop, and nurture relationships with internal and external stakeholders. You are comfortable representing Vector as a thought leader in this space at events and in the media.

                                                                          +

                                                                          Key Responsibilities

                                                                          +
                                                                            +
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • +
                                                                          • Identify, establish, and evolve partnerships between Vector and data holding organizations;

                                                                          • +
                                                                          • Drive data sharing projects between Vector and its public and private sector partners;

                                                                          • +
                                                                          • Lead on data governance best practices and legal requirements for sensitive data to be used in AI/ML discovery;

                                                                          • +
                                                                          • Oversee the development and operationalization of organizational data governance, stewardship and management policies, standard operating procedures, and best practices;

                                                                          • +
                                                                          • Provide leadership to, and supervise the portfolio of a Project Manager and Data Steward in executing respective responsibilities and advancement of deliverables; and,

                                                                          • +
                                                                          • Other related duties as assigned.

                                                                          • +
                                                                          +

                                                                          +


                                                                          +

                                                                          Key Success Measures

                                                                          +

                                                                          +
                                                                            +
                                                                          • High impact data assets are available to Vector’s community for AI research, innovation, and education activities.

                                                                          • +
                                                                          • Streamlined operational and sustainable data governance best practices .

                                                                          • +
                                                                          • Stakeholder feedback, via informal and formal feedback mechanisms to ensure that Vector’s investments in data and infrastructure add value to the AI ecosystem.

                                                                          • +
                                                                          • AI projects, led by Vector and others, that turn data into knowledge and benefit society .

                                                                          • +
                                                                          • Contribution of Vector’s data strategy to Vector’s vision and mission through close coordination with its work streams and stakeholders.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Skills and Experience

                                                                          +


                                                                          +
                                                                            +
                                                                          • Holds, at minimum, a graduate degree in a business, AI/ML, health, technical, or related field.

                                                                          • +
                                                                          • Minimum five years of experience successfully managing all operational aspects of a data strategy and/or data management program, ideally in the technology sector(s).

                                                                          • +
                                                                          • Demonstrated success with implementation of organizational strategic plans and effective business processes including evaluation and prioritization of opportunities.

                                                                          • +
                                                                          • In-depth knowledge of data governance and legal requirements as they relate to use of sensitive data (including health) to advance AI/ML research, innovation, and education activities.

                                                                          • +
                                                                          • An understanding of responsible AI and benefits of applied AI research to society.

                                                                          • +
                                                                          • Experience with working with multi-disciplinary stakeholders, prioritizing conflicting needs, managing limited resources, building multi-disciplinary project teams, handling matters expeditiously, and following through on tasks to successful completion.

                                                                          • +
                                                                          • Experience in people management is considered an asset.

                                                                          • +
                                                                          • Possesses exceptional verbal and written English communication skills, effective in presenting to a diverse set of stakeholders.

                                                                          • +
                                                                          • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and is motivated by continuous learning and the desire to make a difference and a real contribution to development and deployment of safe and trustworthy AI.

                                                                          • +
                                                                          +



                                                                          +

                                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                          +

                                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478892&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-03-16T20:30:42.185Z,False,0,6,137,https://talenthub.vectorinstitute.ai/jobs/306574225-director-data-strategy-and-partnerships-at-vector-institute,,expired,2024-02-15T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Director,Masters Degree,New Posting, +a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-15T16:04:02.940Z,"
                                                                          +
                                                                          +

                                                                          Qualifications

                                                                          +
                                                                          • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
                                                                          • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
                                                                          • Minimum 5 years related work experience in manufacturing environment.
                                                                          • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
                                                                          • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
                                                                          • Computer literacy in business applications and knowledge of ERP systems.
                                                                          • Excellent organizational, planning, and English communication skills.
                                                                          • Exceptional analytical and creative problem-solving skills.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          DESIRABLE ADDITIONAL QUALIFICATIONS

                                                                          +

                                                                          • Experience with Solidat MES.
                                                                          • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
                                                                          • Automotive manufacturing background, preferably within Magna.
                                                                          • Experience with Intermec label printers and Zebra scanners.
                                                                          • Exposure to ERP systems such as SAP, QAD or Trans4m.
                                                                          • Automotive manufacturing experience

                                                                          +
                                                                          +
                                                                          +

                                                                          MAIN TASKS & RESPONSIBILITIES

                                                                          +

                                                                          • Design, develop and implement applications based on customer requirements.
                                                                          • Overall responsibility for Kepware and SQL servers along with related applications.
                                                                          • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
                                                                          • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
                                                                          • Contribute to continuous improvement and cost reduction activities.
                                                                          • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
                                                                          • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
                                                                          • Actively participates in continuous improvement
                                                                          • Maintain 5S standards in working environment
                                                                          • Attend training based on Mytox’s internal training matrix
                                                                          • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
                                                                          • Performs other duties as assigned or any reasonable request by management.

                                                                          +
                                                                          +
                                                                          +

                                                                          Additional Information

                                                                          +

                                                                          Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                          +
                                                                          +
                                                                          +

                                                                          Awareness. Unity. Empowerment.

                                                                          +

                                                                          At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                          +
                                                                          +
                                                                          ",,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-16T01:25:41.899Z,False,0,5,72,https://talenthub.vectorinstitute.ai/jobs/236452843-programmer-at-magna-international,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/,expired,2023-06-15T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +35465711-f06c-49f5-815d-2e11df4ef928,243217434,CN,Expert Data Platform Architect,on_site,"Ontario, Canada",2023-07-05T02:18:02.938Z,"
                                                                          +

                                                                          +
                                                                          At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                                                          +

                                                                          +
                                                                          Job Summary
                                                                          +
                                                                          +

                                                                          CN Data Services (CNDS) is seeking an Expert Data Platform/Systems Architect to lead the delivery of critical Data Platform solutions. As a full stack architect, you will lead the architecture of cloud data platforms and to drive the creation industry leading cloud data platform.

                                                                          +

                                                                          You will define practical architectures that ensure the performance, scalability, cost and maintainability of complex distributed systems that will support the business needs and that will align with the CN directions and standards.

                                                                          +

                                                                          You will also contribute to the definition of strategic technology directions and define continuous improvement objectives in collaboration with CN Data Services leadership team

                                                                          +
                                                                          +
                                                                          Main Responsibilities
                                                                          +

                                                                          +
                                                                          Data Platform Architecture and Delivery
                                                                          +

                                                                          · Lead the delivery of Canadian National Data Services (CNDS) initiatives including the data platform and operational data products

                                                                          · Create systems architectures and modernization strategies related to data platforms

                                                                          · Complete systems integrations and ingestion design patterns, Data Lake, Data Lake House, and Data Warehouse architecture along with target and transitions architectures and roadmaps

                                                                          · Design and optimize platform and integration strategies for the cost-effective delivery of scalable and reliable distributed systems

                                                                          · Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products

                                                                          · Work with Enterprise Architecture to align and introduce new solutions and technologies

                                                                          · Work with Solution Architects to ensure the data platform is integrated into a solution efficiently

                                                                          Data Platform Architecture Practice Evolution

                                                                          · Evaluate current and emerging technologies

                                                                          · Lead the CNDS team, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality

                                                                          · Define architecture and engineering standards, patterns and best practices

                                                                          · Influence CNDS leadership with effective communication of proposals, directions and strategic decision making

                                                                          Working Conditions

                                                                          The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (up to 10%), within Canada and the United States (U.S.).

                                                                          Requirements

                                                                          Experience

                                                                          Data Architecture

                                                                          · Minimum 12 years of experience with applications, data, and cloud

                                                                          o Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing

                                                                          o Minimum 3 years of experience as senior architect using cloud technologies and big data technologies including data analytics

                                                                          Education/Certification/Designation

                                                                          · Bachelor’s Degree in a technology-related field or equivalent experience

                                                                          Competencies

                                                                          · Inspires others with impactful communications and adapts to the audience through speech and writing

                                                                          · Applies analytical thinking

                                                                          · Innovates through problem solving

                                                                          · Knows the business and stays current with industry trends to elevate expertise and work

                                                                          · Demonstrates organizational abilities

                                                                          · Collaborates with key internal stakeholders to enable higher productivity

                                                                          · Works independently with little supervision

                                                                          Technical Skills/Knowledge

                                                                          +
                                                                          +

                                                                          +

                                                                          § Strong Experience architecting and building enterprise grade products

                                                                          +

                                                                          § Strong Experience with Azure and GCP cloud Data Platforms, Data Analytics and Data Engineering

                                                                          +

                                                                          o Azure Databricks is a must

                                                                          +

                                                                          o Azure Data Lake Gen2

                                                                          +

                                                                          o Azure Data Factory

                                                                          +

                                                                          o Azure Data Explorer

                                                                          +

                                                                          o Azure KeyVault

                                                                          +

                                                                          o Azure Event Hub and Event Grid

                                                                          +

                                                                          o Google BigQuery

                                                                          +

                                                                          o Google Dataproc

                                                                          +

                                                                          o Google Cloud Data Fusion

                                                                          +

                                                                          o Google Dataflow

                                                                          +

                                                                          o Google Cloud Composer

                                                                          +

                                                                          o Google Dataprep

                                                                          +

                                                                          o Google Dataplex

                                                                          +

                                                                          o Google BigLake

                                                                          +

                                                                          o Google Storage

                                                                          +

                                                                          o Google Key Management

                                                                          +

                                                                          o Google Vertex

                                                                          +

                                                                          § Strong Experience with data and analytics architectures and concepts

                                                                          +

                                                                          o Batch and streaming cloud architectures

                                                                          +

                                                                          o Lambda architecture

                                                                          +

                                                                          o Kappa architecture

                                                                          +

                                                                          o ETL and ELT pipelines

                                                                          +

                                                                          o Data and Analytics cloud architecture

                                                                          +

                                                                          o Lake House Architecture

                                                                          +

                                                                          o Data Fabric

                                                                          +

                                                                          o Data Mesh

                                                                          +

                                                                          o Cloud Data Warehouse

                                                                          +

                                                                          § Distributed Systems & Enterprise Messaging Architecture

                                                                          +

                                                                          o Experience with Async Communications and Reliable Messaging

                                                                          +

                                                                          o Experience with Event Driven Architecture - Pub-Sub, Kafka, MQ, MQTT, AMQP, Event Hub, Logstash

                                                                          +

                                                                          § A2A & B2B Integration Architecture

                                                                          +

                                                                          o Experience with SOA architecture, patterns and implementation

                                                                          +

                                                                          o Experience with Integration of Transactions, Data, Streaming, Batch, Files, APIs

                                                                          +

                                                                          § Data & Database Architectures

                                                                          +

                                                                          o Domain Driven Design data modeling

                                                                          +

                                                                          o OLTP/OLAP

                                                                          +

                                                                          o SQL, NoSQL, Document (MongoDB), Graph, Search

                                                                          +

                                                                          o Caching – Hazelcast, Redis

                                                                          +

                                                                          § Cloud Architecture is an asset

                                                                          +

                                                                          o Experience architecting/operating solutions build on Azure, GCP, others

                                                                          +

                                                                          o Experience with IaaS, PaaS, SaaS systems

                                                                          +

                                                                          o Experience with infrastructure, networking and security in cloud-based delivery models

                                                                          +

                                                                          § DevOps architecture is an asset

                                                                          +

                                                                          o Experience working with DevOps, CI/CD/CT – Azure DevOps, GitHub, GitLab

                                                                          +

                                                                          § Experience with AI/ML technologies is an asset

                                                                          +

                                                                          § Experience in program & project scoping and planning with Agile process and tools

                                                                          +

                                                                          § Experience in delivering agile and iterative architectures

                                                                          +

                                                                          § Experience with Legacy Systems Modernization (Mainframe, Java, IIB, DataStage, Netezza) is a plus

                                                                          +

                                                                          +
                                                                          About CN
                                                                          +

                                                                          +
                                                                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                                                          +

                                                                          +
                                                                          For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                                                          +

                                                                          +

                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--Business-Intelligence---Insights_R230016636?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-10T17:05:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/274553907-head-business-intelligence-insights-at-bmo-financial-group,,expired,2023-09-28T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, -f5468616-d3d1-4271-801e-9f7e95b75b26,274636991,Scotiabank,"Manager, Digital Analytics - Tangerine",on_site,Canada : Ontario : Toronto,2023-09-28T16:24:03.100Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 185783

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Purpose:

                                                                          -

                                                                          Join the fast based team environment at Scotiabank as a Manager, Digital Analytics. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty.

                                                                          -

                                                                          -

                                                                          The successful candidate will create and tell comprehensive stories about how users behave using data. You’ll deliver analytics projects of moderate complexity, partnering with other analysts and cross-functional teams along the way. Through ongoing analysis, you will gain actionable insights that better address the business goals of our internal stakeholders.

                                                                          -

                                                                          -

                                                                          -

                                                                          Candidate Value Proposition
                                                                          • The successful candidate will have the opportunity to collaborate with analytics, marketing and digital banking squads to help optimize the efficiency and effectiveness of digital marketing campaigns, digital banking experience, and product strategy.

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Responsibilities:

                                                                          -

                                                                          • Develop Looker Studio dashboard in scrum setting to iteratively translate business requirement in visualization and insights
                                                                          • Work with senior stakeholder to perform on-demand product/digital analytics request
                                                                          • Prepare detailed documentation to outline data sources, analysis, and algorithms used and developed
                                                                          • Present results to business line stakeholders and help implement real world data-driven changes
                                                                          • Analyze and interpret clickstream data, providing insights to inform digital banking experience optimization and campaign strategies.
                                                                          • Work with technical analytics resources to ensure tracking code is consistently applied and managed
                                                                          • Be flexible and thrive in an evolving environment
                                                                          • Adapt to change quickly and adjust work accordingly in a positive manner

                                                                          -

                                                                          -

                                                                          -

                                                                          Key Accountabilities:

                                                                          -

                                                                          • Proactively initiate, research, and perform data analysis and provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                                                                          • Identify patterns and trends in marketing results and online activity and report on findings
                                                                          • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement and improve the effectiveness of marketing campaigns
                                                                          • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                                                                          • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                                                                          • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                                                                          • Identify bugs and erroneous analytics tags and provide solutions to development team
                                                                          • Work with Digital Channels to advise on our continually evolving digital strategy
                                                                          • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms

                                                                          -

                                                                          -

                                                                          -

                                                                          Skills and Experience:
                                                                          • 3+ years of proven working experience as a Digital Analyst, Digital Marketing Analyst, or similar role
                                                                          • 3+ years of experience with data segmentation and reporting within Google Analytics and/or Adobe Analytics as well as experience with Google Tag Manager including setting up and configuring accounts for new websites and goals
                                                                          • Working knowledge of GA4
                                                                          • Proficient in building dashboards leveraging and blending data from multiple data sources, as well as extracting data from data environments such as BigQuery
                                                                          • 2+ years of working experience with SQL and relational databases technologies/concepts for both
                                                                          • Experience with Looker Studio and/or Power BI

                                                                          -

                                                                          -

                                                                          Nice-To-Have Skills:
                                                                          • Expertise in Google Analytics implementation using Google Tag Manager
                                                                          • 2+ years of experience programming in Python or Spark
                                                                          • 2+ years of experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, and fraud/anomaly detection)
                                                                          • Experience working with digital advertising platforms (Facebook Business Manager, Google Ads, DoubleClick Manager, AppNexus) and search engine optimization is an asset

                                                                          -

                                                                          -

                                                                          -

                                                                          Degrees or Certifications:
                                                                          Bachelor’s Degree or equivalent in in STEM, or relevant field

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-12T16:29:03.949Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/274636991-manager-digital-analytics-tangerine-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,expired,2023-09-28T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7ab9a799-3be3-4f3c-9ca7-c9b6ce6ed4b4,278201165,Sun Life Financial,"AVP, Data Science and Analytics",on_site,"Ontario, Canada",2023-10-09T12:28:04.487Z,"
                                                                          -

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                          +
                                                                          ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10919?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-07-18T00:46:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/243217434-expert-data-platform-architect-at-cn,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +070637bb-8992-40dd-ad28-47e6a5dac29e,243155637,Sun Life Financial,Senior Data Scientist (Health),on_site,"Toronto, ON, Canada",2023-07-04T17:57:36.419Z,"

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          Sun Life Health is a leading Health and Benefits providers in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives. We have an opportunity to use data to empower Canadians to take control of their health by personalizing health journeys, predicting health outcomes and preventing disease progression, and generating insights and research in partnership with the Canadian health ecosystem.

                                                                          +

                                                                          Job Description:

                                                                          -

                                                                          Reporting to the Vice President Strategy, Partnerships, and Analytics, the AVP Data Science & Analytics will be responsible for developing and executing our data analytics strategy to enable Sun Life Health in achieving sustainable competitive advantage and growth, and improving the health outcomes of our clients. The successful candidate will work in a fast-paced, dynamic, and fun environment with a focus on further maturing our data and data science capabilities, and developing and implementing our analytics strategy and initiatives.

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                                                                          What will you do:

                                                                          +

                                                                          Role Summary

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                                                                          +

                                                                          To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

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                                                                          The DSA team is responsible for:

                                                                            -
                                                                          • -Data Science and Analytics strategy development and execution
                                                                              -
                                                                            • Develop and maintain analytics strategy that drives growth for Sun Life Health and improvements in Client health outcomes
                                                                            • -
                                                                            • Evaluate and prioritize across opportunities to predict and prevent health outcomes, personalize the client health experience, generate value-adding research, and commercializing insights
                                                                            • -
                                                                            • Partner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategy
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                                                                            • Execute the analytics strategy, collaborating within Sun Life health and across functional groups as needed
                                                                            • -
                                                                            -
                                                                          • -
                                                                          • -Data foundation transformation
                                                                              -
                                                                            • Mature data foundations to support data science and analytics strategy, including further enabling personalization of Sun Life Health products
                                                                            • -
                                                                            • Collaborate with Enterprise Data & Analytics, Data Architecture, and Technology teams to design and implement necessary data architecture and engineering
                                                                            • -
                                                                            -
                                                                          • -
                                                                          • -Data science and advanced analytics
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                                                                            • Apply relevant data science and analytics methodologies (including AI & ML) to deliver on our strategy
                                                                            • -
                                                                            • Lead execution of use cases and manage delivery both within the Data Science and Analytics teams, and collaborating with other Sun Life Canada businesses and functions as needed
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                                                                            • Operationalize analytical models in the field by addressing technology, process and change management requirements
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                                                                            • Collaborate with data analytics partners in Canada and Technology to leverage common capabilities, tools and assets
                                                                            • -
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                                                                          • -
                                                                          • -Thought leadership and health research
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                                                                            • Develop relevant and value-adding health insights and research for internal and external audiences
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                                                                            • Develop and maintain relevant relationships within the Canadian health ecosystem and academic communities, and represent Sun Life Health as a thought leader
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                                                                            • Proactively foster relationships within Sun Life with business and functional partners to maintain an understanding of new developments in their areas
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                                                                            -
                                                                          • -
                                                                          • -Business Intelligence
                                                                              -
                                                                            • Coordinate development and delivery of timely and insightful reporting for Sun Life Health products (including Lumino Health Pharmacy and Lumino Provider Search)
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                                                                            • Provide day-to-day data and analytics support for Sun Life Health products
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                                                                            • Support product and strategy development with ad hoc business and strategic insights
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                                                                          • -Compliance and knowledge management
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                                                                            • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
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                                                                            • Maintain documentation of existing data processes and models
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                                                                            • Ensure knowledge is cross pollinated across the team to minimize key personnel knowledge risk
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                                                                            • Maintain understanding of relevant regulatory frameworks and privacy policies, and ensure compliance within data management and analytical processes
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                                                                            • Being the analytics translators to identify and deliver high-impact data science use cases
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                                                                            • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
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                                                                            • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
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                                                                            • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making
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                                                                          • -
                                                                          • -Talent development and capability building
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                                                                            • Lead and coach a diverse reporting team through proactive career development and continuous feedback
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                                                                            • Actively promote Sun Life brand and community image to attract talent
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                                                                            • Continue to build and mature capabilities to deliver on Data Science and Analytics strategy
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                                                                            • Ensure ongoing compliance with all applicable regulatory and policy requirements
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                                                                              +

                                                                              The Senior Data Scientist’s primary focus is to lead the data and analytics initiatives for digital health products. in this role, you will be a thought partner and work closely with the assigned portfolio to assess data and analytics requirements. You will need to gain an in-depth understanding of the business needs, overall objectives and goals of different health initiatives, in order to propose use cases, ideas and solutions that enable the success of the relevant products.

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                                                                              What Will You Do?

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                                                                                +
                                                                              • Work with product to provide data and analytics expertise during discovery and to ensure analytics requirements are in place for new features/enhancements
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                                                                              • Work with operations to ensure ongoing data needs are met by dashboards and to assess data and analytics ad-hoc needs
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                                                                              • Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
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                                                                              • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
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                                                                              • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
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                                                                              • Develop and present reporting solutions to key stakeholders and partners
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                                                                              • Learn about business processes to analyze, interpret, and advise managers on analytical findings
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                                                                              • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
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                                                                              • Understand and incorporate technology best practices with a primary focus on Tableau and Python
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                                                                              • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
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                                                                              +

                                                                              What Do You Need To Succeed?

                                                                              +
                                                                                +
                                                                              • Coding experience preferably in Python (minimum 3 years)
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                                                                              • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
                                                                              • +
                                                                              • Familiar with data science project life cycle
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                                                                              • Strong problem solving and analytical skills
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                                                                              • Demonstrated ability to produce meaningful results from data
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                                                                              • Proven experience consolidating and analyzing data sources
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                                                                              • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
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                                                                              • Comfortable learning new applications quickly with minimal direction
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                                                                              • Proven ability to work collaboratively within a cross functional team environment
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                                                                              • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                                                              • +
                                                                              • Attention to detail and in-depth planning, organizational and time management skills
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                                                                              • Experience working with relational databases and creating data models with efficient design
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                                                                              • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
                                                                              • +
                                                                              • Experience with AWS SageMaker would be an asset.
                                                                              • +
                                                                              • Experience in healthcare and familiarity with health data would be an asset.
                                                                              -

                                                                              What do you need to succeed:

                                                                              +

                                                                              +

                                                                              Unique Requirements

                                                                                -
                                                                              • Minimum of 10 years relevant business, data, and/or analytics experience, ideally within the health, pharmacy, disease management, or benefits industries
                                                                              • -
                                                                              • Experience leading data science and analytics functions to deliver value in a business context
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                                                                              • Strong technical understanding of relevant data science and analytics concepts (e.g., predictive analytics, machine learning, AI), business intelligence, and relevant technology and tools
                                                                              • -
                                                                              • Experience in leading high performing teams and professional knowledge workers
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                                                                              • Experience working with health, pharmacy, or benefits data an asset
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                                                                              • University degree in business, engineering, computer science or related discipline
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                                                                              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
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                                                                              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                              -

                                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                              +

                                                                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                              -

                                                                              Salary Range:

                                                                              140,000/140 000 - 230,000/230 000

                                                                              -

                                                                              Job Category:

                                                                              Advanced Analytics

                                                                              -

                                                                              Posting End Date:

                                                                              15/10/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Data-Science-and-Analytics_JR00085881?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-12T19:11:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/278201165-avp-data-science-and-analytics-at-sun-life-financial,,expired,2023-10-09T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, -469a4835-2e09-450b-ad0f-f1a46bd0b9ad,285099613,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-11-02T12:19:01.550Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          11/06/2023

                                                                          -

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                                                                          -

                                                                          -

                                                                          The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                                                                          +

                                                                          Salary Range:

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                                                                          74,100/74 100 - 120,800/120 800

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                                                                          Job Category:

                                                                          +

                                                                          Advanced Analytics

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                                                                          Job Description

                                                                          -
                                                                            -
                                                                          • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
                                                                          • -
                                                                          • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
                                                                          • -
                                                                          • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
                                                                          • -
                                                                          • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
                                                                          • -
                                                                          • Communicate with model validation to ensure successful validation of the developed methodologies.
                                                                          • -
                                                                          • Monitors and tracks developed and future model performance, and address any potential issues
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                                                                          • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
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                                                                          • Help with routine processes such as stress testing model runs and annual model reviews.
                                                                          • -
                                                                          • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
                                                                          • +

                                                                            Posting End Date:

                                                                            +

                                                                            16/07/2023

                                                                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00076952?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-07-18T00:43:00.000Z,False,0,11,106,https://talenthub.vectorinstitute.ai/jobs/243155637-senior-data-scientist-health-at-sun-life-financial,,expired,2023-07-04T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +9e0a4469-b6ff-43e9-9f1a-5984a514273e,236958274,Vector Institute,HPC Systems Developer,on_site,"Ontario, Canada",2023-06-17T02:12:03.824Z,"

                                                                            JOB DESCRIPTION

                                                                            +

                                                                            HPC SYSTEMS DEVELOPER

                                                                            +

                                                                            POSITION OVERVIEW

                                                                            +

                                                                            The Vector Institute is seeking an HPC Systems Developer to join our growing team in Toronto as we continue the work of making Canada a centre of expertise for AI in the world.

                                                                            +

                                                                            The incumbent in this role will participate in the building and maintenance of High-Performance Computing environments for world class research in Machine Learning.

                                                                            +

                                                                            The HPC Systems Developer will take responsibility in managing performance metrics, systems reporting, custom development tasks, and work with teams within and outside Vector to provide insight into delivering the best computational experience for our researchers.

                                                                            +

                                                                            We are seeking a highly motivated Systems Developer with a hands-on, problem-solving approach to managing and troubleshooting high-tech environments. The role will be a combination of remote and on-site at the office.

                                                                            +

                                                                            The Vector Institute supports a flexible work environment. This position requires a reasonable degree of on-site work which will vary depending on the project commitments and organizational activities. As a result, the ability to work remotely will fluctuate and will be determined in accordance with current business needs

                                                                            +

                                                                            KEY RESPONSIBILITIES:

                                                                            +
                                                                              +
                                                                            • Design, develop, and maintain critical complex software solutions in support of HPC infrastructure monitoring;
                                                                            • +
                                                                            • Maintain up to date reporting of HPC resource utilization;
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                                                                            • Build tools to assist in automation of infrastructure management;
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                                                                            • Collaborate with partner organizations and initiatives to develop cross-organizational software solutions;
                                                                            • +
                                                                            • Document every facet of software solutions as a reference for further maintenance and upgrades;
                                                                            • +
                                                                            • Provide input for preventing future problems as well as incorporating solutions to current concerns; and,
                                                                            • +
                                                                            • Experiment with new technologies relevant to the area of development; recommend improvements to techniques, procedures or other aspects of technical development.
                                                                            -

                                                                            Qualifications

                                                                            -
                                                                              -
                                                                            • Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
                                                                            • -
                                                                            • 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
                                                                            • -
                                                                            • Strong data analysis skills, and able to deal with large data sets to extract relevant information.
                                                                            • -
                                                                            • Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
                                                                            • -
                                                                            • Proficiency with statistical/econometric modeling techniques
                                                                            • -
                                                                            • Experience with Machine Learning and Artificial Intelligence techniques is preferred
                                                                            • +

                                                                              +

                                                                              SUCCESS MEASURES:

                                                                              +
                                                                                +
                                                                              • Ensures the smooth functioning of the research systems, by undertaking detailed reporting of HPC operations, job statistics and performance metrics.
                                                                              • +
                                                                              • Researchers and the enterprise operations feel supported in all other computing needs.
                                                                              • +
                                                                              • Builds and maintains tools to inform the evolution of our environment, such as reporting systems, websites and metrics summarizations.
                                                                              • +
                                                                              +


                                                                              +

                                                                              PROFILE OF THE IDEAL CANDIDATE:

                                                                              +
                                                                                +
                                                                              • Degree or diploma in computer science or engineering or equivalency through more than five years systems programming in a UNIX/Linux environment or complex computing environment;
                                                                              • +
                                                                              • Advanced working knowledge with mainstream programming languages (python, javascript, java, c/c++, etc) and LAMP stack;
                                                                              • +
                                                                              • Experience with production software development and maintenance, including Git/GitHub workflows and continuous integration systems;
                                                                              • +
                                                                              • More than five years of proven, hands-on experience: Linux/UNIX systems programming preferably in a research environment; (Ubuntu, RedHat, CentOS);
                                                                              • +
                                                                              • Experience maintaining application tools and databases, MySQL, PostgreSQL;
                                                                              • +
                                                                              • Proven programming/scripting skills as it pertains to infrastructure management and monitoring;
                                                                              • +
                                                                              • Managing and troubleshooting software and code using mostly open-source software
                                                                              • +
                                                                              • Demonstrated ability to learn quickly;
                                                                              • +
                                                                              • Demonstrated ability to prioritize tasks and resolve problems in a timely manner;
                                                                              • +
                                                                              • Ability to work autonomously, multi-task and work in a fast-paced and stressful environment;
                                                                              • +
                                                                              • Strong attention to detail;
                                                                              • +
                                                                              • Ability to write technical documentation; and,
                                                                              • +
                                                                              • Excellent verbal and written communication skills.
                                                                              • +
                                                                              +

                                                                              Qualifications and Experiences below are considered an asset:

                                                                              +
                                                                                +
                                                                              • Hands-on experience using an HPC workload management systems such as, Slurm, SGE, Moab/Torque or equivalent scheduler
                                                                              • +
                                                                              • Good understanding of file systems such as ZFS and GPFS
                                                                              • +
                                                                              • Expertise in analyzing and reporting on large and volatile data sets
                                                                              • +
                                                                            ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447438&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:42:37.829Z,False,0,1,39,https://talenthub.vectorinstitute.ai/jobs/236958274-hpc-systems-developer-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, +90a32278-c622-447f-a065-0bcb1d09bd0c,243861004,Scotiabank,"Associate, Client Insights and Analytics - Toronto",on_site,Canada : Ontario : Toronto,2023-07-06T15:52:03.910Z,"

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            Requisition ID: 180816

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            +

                                                                            +

                                                                            Purpose:

                                                                            As an Associate in the Client Insights and Analytics team, you will contribute to the success of the Global Banking and Markets (GBM) division of Bank of Nova Scotia. The ideal candidate will be a dynamic person who thrives in a fast-paced environment and enjoys solving complex problems. You will be assigned to cover a product within the Wholesale Banking division and will have experience leading multi-functional, multi-geography teams.

                                                                            The position will require you to translate business needs into specifications and leading data analysis and transformation to drive enhanced analytics, client value reporting, customer profitability, and sales/client performance management. You will be familiar with Wholesale Banking products, have a university degree in a in related field, or related certification (CFA), coupled with technical skills with such tools and applications as PowerBI, Tableau or CRM (Salesforce).

                                                                            If you are a creative, self-starting, curious, and results-oriented individual who thrives in solving complex business and system problems this role is for you!

                                                                            Is this role right for you?

                                                                            +
                                                                            • You will help develop and drive Client Strategy and support it through the collection of business requirements for support teams to build operational processes which extract, transform, and map structured and unstructured data into schemas for the purpose of consistent reporting and analytics.
                                                                            • Lead project management activities for strategic business initiatives from Front Office (Corporate and Investment Banking, Capital Markets) and technology (Salesforce, Data Engineering etc.)
                                                                            • Support projects, providing detailed business and data analysis, program specifications and business requirements for development of solutions for the sourcing, delivery, and processing of internal/external data sources within the technical architecture to support client profitability and analytics for wholesale customers.
                                                                            • Collaborates with business partners and technology teams to deliver complex, creative and robust data solutions. This includes development of powerful reporting/analysis against big data required to ensure accessibility for analytics and reporting by the data teams, as well as providing oversight of reporting solutions using Tableau, Power BI, and/or other industry standard BI tools.
                                                                            • Expected to function independently by combining business knowledge and technical expertise to recommend, develop and implement data, reporting and analytics solutions.
                                                                            • Be a champion of change in Global Banking and Markets, for helping to evolve the data and analytics driven culture.
                                                                            • Drives the implementation of new processes, improving existing methodologies and utilizes cutting-edge technology to expedite delivery of new/enhanced products to our customers.
                                                                            • Comfortable working in a sales and trading environment to enhance the value we deliver to our customers.
                                                                            • Ensure all activities conducted are compliant with governing regulations, internal policies and procedures, while championing a customer focused culture that deepen client relationships and leverage broader Bank relationships, systems and knowledge. They understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. They also actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational compliance of AML/ATF/sanctions and conduct risk.
                                                                            • +
                                                                            +


                                                                            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                            +
                                                                            • Bachelor / Master’s degree in a Finance/data science/analytics discipline.
                                                                            • 5+ years of progressive experience in data and analytics field, or sales background in Corporate Investment Banking, Global Capital Markets.
                                                                            • Excellent leadership skills in driving senior leaders to consensus and managing complex teams.
                                                                            • Excellent written and oral communication, strong analytical, problem-solving, and troubleshooting skills to identify/document critical issues, prioritize, and apply technology and industry practices in ways that are most beneficial to GBM.
                                                                            • Self-starting, results-oriented, and highly motivated individual with the ability to work in a fast-paced, agile environment.
                                                                            • Working knowledge of Salesforce and BI tools like Tableau and PowerBI would be a strong asset.
                                                                            +

                                                                            +

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-20T15:57:02.864Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/243861004-associate-client-insights-and-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,expired,2023-07-06T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c9a866de-b9d4-4ca7-b8c6-c7b364a4fbc8,243954901,BMO Financial Group,"Senior Manager, Retail Risk Modeling & Analytics",on_site,"Ontario, Canada",2023-07-07T01:42:01.516Z,"
                                                                            +

                                                                            Application Deadline:

                                                                            07/18/2023

                                                                            +

                                                                            +

                                                                            Address:

                                                                            33 Dundas Street West

                                                                            +

                                                                            +

                                                                            Job Family Group:

                                                                            Data Analytics & Reporting

                                                                            -

                                                                            Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                            +

                                                                            +

                                                                            Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                              -
                                                                            • Acts as a trusted advisor to assigned business/group.
                                                                            • +
                                                                            • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                            • +
                                                                            • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                            • +
                                                                            • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                            • +
                                                                            • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                            • +
                                                                            • Attracts, retains, and enables the career development of top talent.
                                                                            • +
                                                                            • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                            • +
                                                                            • Provides strategic input into business decisions as a trusted advisor.
                                                                            • +
                                                                            • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                            • +
                                                                            • Acts as a subject matter expert on relevant regulations and policies.
                                                                            • +
                                                                            • May network with industry contacts to gain competitive insights and best practices.
                                                                            • +
                                                                            • Acts as a subject matter expert on relevant regulations and policies.
                                                                            • +
                                                                            • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
                                                                            • Influences and negotiates to achieve business objectives.
                                                                            • -
                                                                            • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                            • -
                                                                            • Assists in the development of strategic plans.
                                                                            • Identifies emerging issues and trends to inform decision-making.
                                                                            • -
                                                                            • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                                                                            • -
                                                                            • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                            • -
                                                                            • Supports data collection, integration, and retention requirements for data.
                                                                            • -
                                                                            • Develops experimental design approaches to validate findings or test hypotheses.
                                                                            • -
                                                                            • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                                                                            • -
                                                                            • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                            • -
                                                                            • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                            • -
                                                                            • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                            • +
                                                                            • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                            • +
                                                                            • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                            • +
                                                                            • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                                                                            • +
                                                                            • Conducts independent analysis and assessment to resolve strategic issues.
                                                                            • +
                                                                            • Identifies emerging issues and trends to inform decision-making.
                                                                            • +
                                                                            • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                            • +
                                                                            • Ensures alignment between stakeholders.
                                                                            • +
                                                                            • Builds effective relationships with internal/external stakeholders.
                                                                            • +
                                                                            • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                            • +
                                                                            • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                                                                            • +
                                                                            • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
                                                                            • +
                                                                            • Monitors and tracks performance, and addresses any issues.
                                                                            • +
                                                                            • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
                                                                            • +
                                                                            • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                            • +
                                                                            • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                                                            • +
                                                                            • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                                                                            • +
                                                                            • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                                                                            • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                            • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                            • -
                                                                            • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                            • -
                                                                            • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                            • -
                                                                            • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                            • -
                                                                            • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                            • -
                                                                            • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                            • +
                                                                            • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                            • +
                                                                            • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                            • +
                                                                            • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                            • +
                                                                            • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                            • +
                                                                            • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                            • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                            • Performs experimental design approaches to validate finding or test hypotheses.
                                                                            • Uses the appropriate algorithms to discover patterns.
                                                                            • -
                                                                            • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                            • -
                                                                            • Supports development of tools and delivers training for data analytics and AI.
                                                                            • +
                                                                            • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                            • +
                                                                            • Supports development of tools and delivers training for data and analytics.
                                                                            • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                            • Leads/participates in the design, implementation and management of core business/group processes.
                                                                            • -
                                                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                            • -
                                                                            • Provides specialized consulting, analytical and technical support.
                                                                            • -
                                                                            • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                            • -
                                                                            • Works independently and regularly handles non-routine situations.
                                                                            • +
                                                                            • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                            • +
                                                                            • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                            • +
                                                                            • Implements changes in response to shifting trends.
                                                                            • Broader work or accountabilities may be assigned as needed.

                                                                              Qualifications:

                                                                            • -
                                                                            • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                            • -
                                                                            • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                                                                            • -
                                                                            • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                            • -
                                                                            • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                            • -
                                                                            • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                                                                            • -
                                                                            • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                            • -
                                                                            • Verbal & written communication skills - In-depth.
                                                                            • -
                                                                            • Collaboration & team skills - In-depth.
                                                                            • -
                                                                            • Analytical and problem solving skills - In-depth.
                                                                            • -
                                                                            • Influence skills - In-depth.
                                                                            • -
                                                                            • Data driven decision making - In-depth.
                                                                            • +
                                                                            • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                            • +
                                                                            • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                                                                            • +
                                                                            • Relevant experience in risk, capital, and/or treasury management is preferred.
                                                                            • +
                                                                            • A professional designation in Finance or Risk management is preferred.
                                                                            • +
                                                                            • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                            • +
                                                                            • Verbal & written communication skills - In-depth / Expert.
                                                                            • +
                                                                            • Analytical and problem solving skills - In-depth / Expert.
                                                                            • +
                                                                            • Influence skills - In-depth / Expert.
                                                                            • +
                                                                            • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                            • +
                                                                            • Able to manage ambiguity.
                                                                            • +
                                                                            • Data driven decision making - In-depth / Expert.

                                                                            @@ -65138,100 +65756,111 @@ f5468616-d3d1-4271-801e-9f7e95b75b26,274636991,Scotiabank,"Manager, Digital Anal

                                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                            -
                                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-09T12:24:01.621Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/285099613-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-11-02T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -9e80e069-9d4f-49ce-a0bc-845c2c1fa35b,279199784,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-10-12T16:25:04.492Z,"
                                                                            -

                                                                            Hours

                                                                            -
                                                                            37.5
                                                                            -

                                                                            -

                                                                            Workplace Model

                                                                            -
                                                                            Hybrid
                                                                            -

                                                                            -

                                                                            Pay Details

                                                                            -

                                                                            We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                            -

                                                                            -

                                                                            Department Overview

                                                                            -
                                                                            -*Please note that we are hiring for multiple Senior Business Intelligence & Reporting Analyst (L09s) and Business Intelligence Specialist (L10s)*
                                                                            What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                            -

                                                                            The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                            -

                                                                            This is the team building the dashboards, scorecards and business intelligent insights that deliver and process vital data to business partners across the enterprise.

                                                                            -

                                                                            Joining us in Business Intelligence is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                            -
                                                                            -

                                                                            -

                                                                            Job Details

                                                                            -
                                                                              -
                                                                            • Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction.
                                                                            • -
                                                                            • Develop and maintain specialized Business Intelligence (BI) packages, dashboards and scorecards on the MS Azure Cloud Platform
                                                                            • -
                                                                            • Manage the repository of all reporting assets including and not limited to data analysis, development scripts, objects and documentation.
                                                                            • -
                                                                            • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources
                                                                            • -
                                                                            • Lead the discussion with business partners to understand business objectives and develop valuable reporting for enablement and fact based decisioning
                                                                            • -
                                                                            • Validate the quality and integrity of the data included in all artifacts
                                                                            • -
                                                                            • Develop substantial and insightful commentary/insights on new and existing BI packages
                                                                            • -
                                                                            • Work independently as the senior analyst / expert and may provide technical support to others
                                                                            • -
                                                                            • Lead the implementation of initiatives in support of overall business/function strategy
                                                                            • -
                                                                            • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                                            • -
                                                                            • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                                            • -
                                                                            -

                                                                            -

                                                                            Job Requirements

                                                                            -
                                                                            -
                                                                              -
                                                                            • Experience in business or financial reporting/business insights and analysis development, is knowledgeable and savvy with new technology and tools preferably within the global financial services and back-office operations
                                                                            • -
                                                                            • Hands-on experience in using business intelligence, analytics and/or data visualization tools (ex: Tableau)
                                                                            • -
                                                                            • Experience with Python, Databricks and SQL
                                                                            • -
                                                                            • Experience with Microsoft Azure is desired
                                                                            • -
                                                                            • Strong team player who fosters and thrives in an environment of peer development and sharing
                                                                            • -
                                                                            • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo
                                                                            • -
                                                                            • Enthusiastic and focused self-starter who can work with minimal supervision to strict deadlines and is able to prioritize, multitask, and manage various projects simultaneously
                                                                            • -
                                                                            • Excellent verbal and written communication skills with the ability to work with various level of management and senior management to convey findings concisely through presentations and business commentaries
                                                                            • -
                                                                            • Strong ownership mentality, proactive attitude, and ability to get things done
                                                                            • -
                                                                            • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative BI solutions
                                                                            • -
                                                                            • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                                                            • -
                                                                            • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                                                            • -
                                                                            • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                                                            • -
                                                                            • Excellent interpersonal skills with the ability to proactively influence and support product decisions through analytical counsel
                                                                            • -
                                                                            • Ability to manage and supervise a team of BI analysts to provide strategic direction.
                                                                            • -
                                                                            -

                                                                            Educational Requirements/Accreditations:

                                                                            -
                                                                              -
                                                                            • Undergraduate degree or above preferably in an analytically based discipline
                                                                            • -
                                                                            • 3-5 years of relevant experience
                                                                            • -
                                                                            -
                                                                            -

                                                                            -

                                                                            Company Overview

                                                                            -
                                                                            -Our Values
                                                                            At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                            -

                                                                            Making Your Well-being a Priority
                                                                            A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                            -

                                                                            Our Total Rewards Package
                                                                            Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                            -

                                                                            How We Work
                                                                            At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                            -

                                                                            Who We Are
                                                                            TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                            -
                                                                            -

                                                                            -

                                                                            Inclusiveness

                                                                            -
                                                                            -Our Commitment to Diversity, Equity, and Inclusion
                                                                            At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                            -

                                                                            How We’re Helping Make an Impact in Communities
                                                                            TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                            -

                                                                            Accommodation
                                                                            Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                            -

                                                                            We look forward to hearing from you!

                                                                            -
                                                                            -

                                                                            -
                                                                            ",,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-11T17:58:14.786Z,False,0,6,96,https://talenthub.vectorinstitute.ai/jobs/279199784-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-10-12T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f78bdfeb-6899-4e9d-850b-b8df1f3abcfd,284411050,BMO Financial Group,Sr Data Engineer,on_site,"Ontario, Canada",2023-10-30T12:19:03.257Z,"
                                                                            -

                                                                            Application Deadline:

                                                                            11/12/2023

                                                                            +
                                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Retail-Risk-Modeling---Analytics_R230010200-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-20T20:13:00.000Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/243954901-senior-manager-retail-risk-modeling-analytics-at-bmo-financial-group,,expired,2023-07-07T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +94f82108-d9db-49f8-8c4f-b34bd2b1ce78,253671753,BMO Financial Group,Specialist- Risk Modelling & Analytics,on_site,"Ontario, Canada",2023-08-01T01:42:03.039Z,"
                                                                            +

                                                                            Application Deadline:

                                                                            07/30/2023

                                                                            -

                                                                            Address:

                                                                            33 Dundas Street West

                                                                            +

                                                                            Address:

                                                                            250 Yonge Street

                                                                            Job Family Group:

                                                                            Data Analytics & Reporting

                                                                            +

                                                                            MANDATE:

                                                                            +

                                                                            +

                                                                            The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

                                                                            +

                                                                            +

                                                                            KEY ACCOUNTABILITIES FOR THIS ROLE

                                                                            +

                                                                            +

                                                                            Risk Methodologies

                                                                            +

                                                                            +
                                                                              +
                                                                            • Supports the development of methodologies used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios based on best practices and regulatory requirements
                                                                            • +
                                                                            • Supports the activities related to data requirements for the development of internal models for market and counterparty credit risk management, regulatory and economic capital calculation
                                                                            • +
                                                                            • Contributes to change management activities related to model and methodology issues that expose the Bank to unusual, inappropriate or otherwise not fully identified or quantified traded credit and market risks
                                                                            • +
                                                                            • Supports the analysis of market data for revisions to risk factors and/or market model parameters for market and derivative counterparty risk applications
                                                                            • +
                                                                            • Participates in the model documentation process and ensures all documentation is in line with corporate standards
                                                                            • +
                                                                            • Contributes to relationships and timelines in day-to-day relationships with clients
                                                                            • +
                                                                            • Supports the team in various tasks as needed.
                                                                            • +
                                                                            +

                                                                            +

                                                                            Communication

                                                                            +

                                                                            +
                                                                              +
                                                                            • Reports to the Director, Risk Models positions, exposures or other factors that may expose the Bank to unusual, unexpected, inappropriate or otherwise not fully identified or quantified risks associated with counterparty exposures
                                                                            • +
                                                                            • Participate in discussions with business managers and other stakeholders to understand objectives, supports activities to translate business requirements into development tasks
                                                                            • +
                                                                            • Maintain effective communication with management, peers and stakeholders
                                                                            • +
                                                                            • Establish relationships with managers to ensure own understanding of material risks and to assist them in making decisions
                                                                            • +
                                                                            • Participate in training to acquire the proper expertise related to processes involved in risk quantification
                                                                            • +
                                                                            • Familiarize with new and evolving Basel/regulatory requirements.
                                                                            • +
                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            System Development

                                                                            +

                                                                            +
                                                                              +
                                                                            • Participate and support development of business requirements for model or system enhancements, including specification of user acceptance test requirements. Participate in user acceptance testing and other activities to ensure business and analytic requirements are correctly implemented
                                                                            • +
                                                                            • Support the Director in Risk Models vis-a-vis Technology & Solutions - Risk Management to ensure proper and timely implementation of model enhancements on systems within the project scope. Escalate to the Director, Risk Models delays or unexpected problems that may impede progress.
                                                                            • +

                                                                            -

                                                                            Responsibilities:

                                                                            -

                                                                            Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
                                                                            Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                            Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
                                                                            Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
                                                                            Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
                                                                            Develops innovative approaches to address complex business problems and solutions, assisting with business cases
                                                                            Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
                                                                            Expert knowledge of Python, SAS, SQL and R are essential
                                                                            Extensive work experience building predictive models with machine learning methods
                                                                            Ability to apply statistical techniques and data mining tools to solve business problem
                                                                            Significant experience building UI mockups and optimizing dashboard for user experience
                                                                            Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
                                                                            Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
                                                                            Hands-on experience of SQL and Python for data access and basic transformation
                                                                            Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
                                                                            Experience in query optimization, debugging and automation
                                                                            Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
                                                                            Familiarity with an agile development process

                                                                            -


                                                                            Preferred Qualification

                                                                            -

                                                                            7+ years of experience in data analytics environments
                                                                            Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
                                                                            Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
                                                                            Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
                                                                            Experience with data modeling, warehousing and building ETL pipelines
                                                                            Experience with AWS solutions - Azure data platform, experience with Azure functions and services
                                                                            Ability to test, identify and troubleshoot report and dataset issues
                                                                            General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
                                                                            ITSM + Asset/CMDB knowledge is an asset
                                                                            Dynatrace, Aternity, lakeside knowledge is an added advantage

                                                                            -


                                                                            Certifications(atleast 1):

                                                                            -

                                                                            Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
                                                                            Microsoft Certified: Power BI Data Analyst Associate PL-300

                                                                            +

                                                                            The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

                                                                            +

                                                                            +

                                                                            Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                                                                            +
                                                                              +
                                                                            • Acts as a trusted advisor to assigned business/group.
                                                                            • +
                                                                            • Influences and negotiates to achieve business objectives.
                                                                            • +
                                                                            • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                            • +
                                                                            • Assists in the development of strategic plans.
                                                                            • +
                                                                            • Identifies emerging issues and trends to inform decision-making.
                                                                            • +
                                                                            • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                            • +
                                                                            • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                            • +
                                                                            • Conducts independent analysis and assessment to resolve strategic issues.
                                                                            • +
                                                                            • Automates validation tests to improve quality and efficiency of the validation process.
                                                                            • +
                                                                            • Identifies emerging issues and trends to inform decision-making.
                                                                            • +
                                                                            • Builds effective relationships with internal/external stakeholders.
                                                                            • +
                                                                            • Ensures alignment between stakeholders.
                                                                            • +
                                                                            • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                                                                            • +
                                                                            • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                                                                            • +
                                                                            • Provides input into the planning and implementation of operational programs.
                                                                            • +
                                                                            • Executes work to deliver timely, accurate, and efficient service.
                                                                            • +
                                                                            • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                            • +
                                                                            • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                            • +
                                                                            • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                            • +
                                                                            • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                            • +
                                                                            • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                            • +
                                                                            • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                            • +
                                                                            • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                            • +
                                                                            • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                            • +
                                                                            • Performs experimental design approaches to validate finding or test hypotheses.
                                                                            • +
                                                                            • Uses the appropriate algorithms to discover patterns.
                                                                            • +
                                                                            • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                                                                            • +
                                                                            • Supports development of tools and delivers training for data and analytics.
                                                                            • +
                                                                            • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                            • +
                                                                            • Leads/participates in the design, implementation and management of core business/group processes.
                                                                            • +
                                                                            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                            • +
                                                                            • Provides specialized consulting, analytical and technical support.
                                                                            • +
                                                                            • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                            • +
                                                                            • Works independently and regularly handles non-routine situations.
                                                                            • +
                                                                            +

                                                                            +

                                                                            Qualification:

                                                                            +
                                                                              +
                                                                            • Graduate degree in a technical field (e.g. Engineering, Computer Science, Mathematics, Finance, Statistics)
                                                                            • +
                                                                            • Minimum of 3 to 5 years of experience within Capital Markets and Risk Management, with in-depth knowledge of financial products such as OTC derivatives, security financing
                                                                            • +
                                                                            • Hands on experience in derivatives product pricing and implementation testing
                                                                            • +
                                                                            • Broad understanding and experience with risk management methodologies, preferably in Counterparty Credit Risk context
                                                                            • +
                                                                            • Experience with Adaptiv CCR platform is an asset
                                                                            • +
                                                                            • Working knowledge of a combination of Python, C#, C++ and VBA.
                                                                            • +

                                                                            +

                                                                            Skills

                                                                            +
                                                                              +
                                                                            • Excellent written and verbal communication skills
                                                                            • +
                                                                            • Strong attention to detail
                                                                            • +
                                                                            • Effective problem solving and critical thinking skills
                                                                            • +
                                                                            • Ability to meet deadlines and manage priorities
                                                                            • +
                                                                            • Highly collaborative and relationship-oriented; enjoys working with others.
                                                                            • +

                                                                            We’re here to help

                                                                            @@ -65245,268 +65874,240 @@ f78bdfeb-6899-4e9d-850b-b8df1f3abcfd,284411050,BMO Financial Group,Sr Data Engin

                                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                            -
                                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Data-Engineer_R230016801?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-13T12:24:02.962Z,False,0,2,62,https://talenthub.vectorinstitute.ai/jobs/284411050-sr-data-engineer-at-bmo-financial-group,,expired,2023-10-30T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -c42c0757-175b-477a-8aeb-e5fb07417d8c,299493033,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Summer 2024,on_site,Canada : Ontario : Toronto,2024-01-08T16:26:05.005Z,"

                                                                            -

                                                                            -

                                                                            -

                                                                            -

                                                                            Requisition ID: 189992

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            -

                                                                            -

                                                                            Term: May 2024 - August 2024
                                                                            Application Deadline: January 26th, 2024

                                                                            -

                                                                            -

                                                                            Ready to Start your Journey with Scotiabank? Apply Now!

                                                                            -

                                                                            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                                                                            -

                                                                            -

                                                                            Please follow the steps below to successfully apply:

                                                                            -

                                                                            -

                                                                            Step 1: Complete your PLUM Profile here and save as a screenshot.

                                                                            -

                                                                            Step 2: Complete a short one-way video interview here.

                                                                            -

                                                                            Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                                                                            -

                                                                            Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                                                                            -

                                                                            -

                                                                            Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2024 Internship applications are the same. You only need to complete this one!

                                                                            -

                                                                            -

                                                                            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                            -

                                                                            -

                                                                            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                            -

                                                                            -

                                                                            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                            -

                                                                            -

                                                                            Is this role right for you? In this role, you will:

                                                                            -
                                                                            • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business

                                                                            • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling

                                                                            • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis

                                                                            • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation

                                                                            • Make impact by constantly identifying and implementing process improvements

                                                                            • Experiment & learn!

                                                                            • -
                                                                            -

                                                                            -

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            -
                                                                            • You are currently enrolled in post-secondary education.

                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                                                                            • You have strong written/verbal communication and project management skills.

                                                                            • You have knowledge/experience in:

                                                                            • -
                                                                            -
                                                                            1. Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                            2. Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                            3. Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                            4. Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                            5. Visualization tools like PowerBI, Tableau or Olikview
                                                                            6. Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                            7. Making sense of data, creating reports, and communicating KPI’s to those who don’t speak technology
                                                                            8. -
                                                                            -

                                                                            -

                                                                            What’s in it for you?

                                                                            -
                                                                            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                            • -
                                                                            +
                                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Specialist--Risk-Modelling---Analytics_R230011021-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-08T16:12:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/253671753-specialist-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-08-01T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +d70b9a3d-309b-40c4-b5b9-29ee85f41b8c,267931511,Scotiabank,Velocity - Finance Internship/Co-Op - Winter 2024 1,on_site,Canada : Ontario : Toronto,2023-09-07T16:22:02.757Z,"

                                                                            -

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-11T16:31:04.662Z,False,0,3,47,https://talenthub.vectorinstitute.ai/jobs/299493033-velocity-data-analyst-internship-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,expired,2024-01-08T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ac37e900-7968-4d48-a183-7ebf025b23c4,308044570,Scotiabank,"Senior Manager, Model Monitoring - Retail & Small Business (TSYS Contract)",on_site,Canada : Ontario : Toronto,2024-02-22T16:26:01.849Z,"

                                                                            +

                                                                            Requisition ID: 184484

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            -

                                                                            Requisition ID: 193643

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            +

                                                                            Velocity – Finance Internship/Co-Op – Winter 2024 (8 Months)

                                                                            -

                                                                            The world is changing faster than ever and so are we!

                                                                            -

                                                                            -

                                                                            “Big data”, “AI” and “machine learning” are not just buzz-words; they are part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, have a broad understanding of best-in-class processes and relish the opportunity to help us turn our vision into reality. Are you ready to join the Winning Team not only building but actively managing the high-performing prediction and forecasting models behind automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day?

                                                                            -

                                                                            -

                                                                            Model Monitoring is all about ensuring that everything we build and deploy continues to perform as expected and if not, catching any deterioration early so it can be investigated and addressed. The right candidate for this role is NOT someone who wants to design and build a handful of models each year but rather, is someone willing to take on the challenge of understanding how hundreds of them (spanning a wide range of problem types, employing a myriad of methodologies) work and can, commensurately, design, optimize and build capabilities to monitor those models post implementation. In this space, we obsess over getting things done quickly and done right, the first time. We get excited by automation and leverage a combination of collaborative development and verification / testing in our approaches.

                                                                            -

                                                                            -

                                                                            This role will be a key member of Scotiabank’s Retail & Small Business Forecasting team, responsible for effectively and efficiently building out model performance and stability monitoring insights & dashboards in accordance with policy and guidelines. This role will also work closely with our Data Analytics – Model Monitoring team with a focus on enhancing and optimizing our monitoring & insights for our regulatory capital models.

                                                                            -

                                                                            -

                                                                            What Are We Looking For?

                                                                            -

                                                                            We want talented, pragmatic, analytically-oriented team players who can share best-in-class coding and optimization practices with the department to be leveraged across all programs, and who can who can prioritize projects and their own time to deliver the optimal balance of high value long-run results while remaining responsive to urgent and ever-shifting stakeholder needs.

                                                                            +

                                                                            Term: January – April 2024

                                                                            +

                                                                            Application Deadline: 10/02/2023

                                                                            -

                                                                            The ideal candidate for this role will be a consummate team player who is equally comfortable wearing the following hats:

                                                                            -
                                                                            • Senior Manager of Model Monitoring
                                                                            • Data Engineer / Automation Lead
                                                                            • Senior Data Analyst
                                                                            • +

                                                                              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                              +

                                                                              +

                                                                              The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                              +

                                                                              +

                                                                              Is this role right for you? In this role, you will:

                                                                              +
                                                                              • Update/validate formulas in planning and reporting.
                                                                              • Populate reporting templates with actual results and ensure completeness.
                                                                              • Data analysis projects related to various business initiatives.
                                                                              • Assist in the preparation of summary information packages to communicate to leadership.
                                                                              • Work on the ongoing tracking/reporting of financial metrics.
                                                                              -

                                                                              Make an Impact:

                                                                              -

                                                                              In this role, you will lead the development of new and/or enhance model performance reporting of our Forecasting – Capital Models, impacting not just our team or our partners but the bank’s quarterly disclosure to the regulator.

                                                                              -

                                                                              -

                                                                              You will collaborate on a regular basis with a wide range of stakeholders and internal partners including Model Owners (model developers), Data Analytics, and Technology & Data.

                                                                              -

                                                                              -

                                                                              Is This Role Right for You?

                                                                              -
                                                                              • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                              • You are both deeply curious and highly pragmatic
                                                                              • You understand data engineering, modeling, and data visualization concepts to strategize and execute dataset preparation, model assessments and reporting (including data extraction, transformations, application of statistical tests, and report generation)
                                                                              • You can evaluate results, derive model and business insights and communicate recommendations effectively, both verbally, visually and in writing
                                                                              • You ensure ongoing compliance with internal and regulatory monitoring requirements
                                                                              • You are willing and able to suggest and make enhancements to optimize and/or automate the model monitoring process
                                                                              • You relish ambitious but realistic goals and are committed to achieving them
                                                                              • You are comfortable initiating conversations, asking questions, and collaborating with diverse personalities
                                                                              • You are professional, motivated AND FUN. We mean it.
                                                                              • +

                                                                                +

                                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                                +
                                                                                • You are currently enrolled in post-secondary education.
                                                                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                                                                                • You are a highly self-motivated individual with strong time-management skills.
                                                                                • You have an analytical mindset and investigative abilities.
                                                                                • You have strong written and verbal communication skills.
                                                                                • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
                                                                                • You understand PowerBI, SAS, SQL or Tableau.
                                                                                -

                                                                                -

                                                                                What Do You Need to Succeed?

                                                                                -

                                                                                General

                                                                                -
                                                                                • Bachelor’s Degree in Engineering, Computer Science, Mathematics or an equivalent technical field
                                                                                • Experience as an analyst, data scientist or data engineer with a track record of accomplishments working on cross-functional teams
                                                                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                                • +

                                                                                  +

                                                                                  +

                                                                                  What’s in it for you?

                                                                                  +
                                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                                  +

                                                                                  +

                                                                                  How do I apply?

                                                                                  +

                                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                                                                  +

                                                                                  +
                                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                                  2. +
                                                                                  +
                                                                                  1. Complete a short one-way video interview here.
                                                                                  2. +
                                                                                  +
                                                                                  1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                                  2. +
                                                                                  +

                                                                                  +

                                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                                  -

                                                                                  Technical

                                                                                  -
                                                                                  • Strong fundamental understanding of mathematical models, forecasting and statistics
                                                                                  • 5+ years of overall experience in data and analytics roles working with predictive, risk and/or forecasting models and big data
                                                                                  • Highly proficient in 2+ analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix, Windows, GCP, Azure)
                                                                                  • 2+ years experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                                  • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                                  • Experience with continuous Integration tools - Jenkins, BitBucket, GitHub
                                                                                  • -

                                                                                  -

                                                                                  Location(s): Canada : Ontario : Toronto

                                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-11T13:41:00.000Z,False,0,1,100,https://talenthub.vectorinstitute.ai/jobs/308044570-senior-manager-model-monitoring-retail-small-business-tsys-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,expired,2024-02-22T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -f21d3cbe-aba7-42bd-9916-5650d8697f53,322296845,CIBC,"Senior Manager, Client Insights & Analytics",on_site,"Ontario, Canada",2024-05-10T01:05:03.904Z,"
                                                                            -

                                                                            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                            -

                                                                            -

                                                                            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                            -

                                                                            -

                                                                            To learn more about CIBC, please visit CIBC.com

                                                                            -

                                                                            -

                                                                            -

                                                                            What you’ll be doing

                                                                            -

                                                                            -

                                                                            As the Senior Manager, Client Insights & Analytics, you will strive to be a thought partner and provide advice and recommendations that assist in the development and evaluation of client segment strategies from an analytics perspective. In this capacity, you will use segmentation to deliver data driven insights and reporting to key partners. You will create executive presentations that clearly and concisely communicate key analytical findings to business leaders. You will assess potential strategies and conduct cost/benefit analysis. The focus of this role will be New-to-Canada clients as they embark on establishing financial relationships in this country. Knowledge and ability to conduct research on current immigration trends (from Immigration Canada and other external sources) for permanent residents and foreign workers who are coming to Canada and connecting opportunities to client acquisition and retention strategies will be important.

                                                                            -

                                                                            -

                                                                            At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                            +

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-Op-Winter-2024-1-ON/573772717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-14T16:29:04.669Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/267931511-velocity-finance-internship-co-op-winter-2024-1-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-Op-Winter-2024-1-ON/573772717/,expired,2023-09-07T16:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +d3e14de7-8779-415a-99da-c0146d6fe8ae,265451536,Ontario Brain Institute,Cloud Applications Engineer,hybrid,"Toronto, ON, Canada",2023-08-31T20:21:47.232Z,"

                                                                            Make a difference in brain research and innovation in Ontario 

                                                                            +

                                                                            The Ontario Brain Institute (OBI) is a provincially‐funded, not‐for‐profit initiative seeking to maximize the impact of neuroscience and establish Ontario as a world leader in brain discovery, commercialization and care. Convergent partnerships are created between researchers, clinicians, industry, patients, and their advocates to foster discovery and deliver innovative products and services that improve the lives of those living with brain disorders.   

                                                                            +

                                                                            The OBI is passionate about the outcomes of its work, the people and organizations it partners with, and the opportunity to play a role in shaping the future. Its members are united in the common goal to improve brain health. The culture is fast-paced, challenging and rewarding.   

                                                                            +

                                                                            If you are interested in joining the OBI team, please check out the employment opportunities at: http://www.braininstitute.ca/opportunities

                                                                            -

                                                                            How you’ll succeed

                                                                            -
                                                                              -
                                                                            • -Data Savvy: Contributes to the ongoing development and enhancement of analytics, business case and visual analytic tools that leverage industry best practices. Recommend improvements to overall analytical approach for the team through interaction with internal stakeholders and through industry research. Comfortable with the end to end analytical process from ETL (extract, transform, load) to synthesizing and presenting insights.
                                                                            • -
                                                                            • -Understand Business Needs: Understand the business context behind a analytics need and manage scope and project timelines. Communicate analytical findings clearly to a non-technical audience/user. Have excellent organization skills to effectively manage multiple projects of varying complexity under strict timelines.
                                                                            • -
                                                                            • -Relationship Management: Form strong working relationships with key partners across the Bank (Enterprise Analytics, Client Experience, Digital, Delivery and Operational Effectiveness), as well as, external data vendors.
                                                                            • -
                                                                            +

                                                                            Cloud Applications Engineer - 1 Position

                                                                            +

                                                                            OBI is looking for an experienced Cloud Applications Engineer to join its Neuroinformatics team. This role will play a key part in supporting OBI related research projects that produce, share, and analyze high quality neuroscience data to advance neuroscience and brain discoveries via Brain-CODE. Brain-CODE is OBI’s large scale neuroinformatics platform for the collection, curation, sharing, and analysis of neuroscience data.

                                                                            -

                                                                            Who you are

                                                                            -
                                                                              -
                                                                            • -You can demonstrate experience. 5+ years’ experience in the banking sector (preferred) and strong skills in applied statistics and mathematics. SAS, SQL and Tableau knowledge is required. Modeling skill would be an asset. Comfortable working with Big Data and have experience with complex queries and Tableau dashboard building. You can tell an insightful story from data and deliver executive presentation decks.
                                                                            • -
                                                                            • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                                            • -
                                                                            • -You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
                                                                            • -
                                                                            • -You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                                                            • -
                                                                            • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                                            • -
                                                                            • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                                            • -
                                                                            • -Values matter to you. You bring your real self to work, and you live our values – trust, teamwork and accountability.
                                                                            • -
                                                                            +

                                                                            The ideal candidate will have a passion for advancing neuroscience informatics (neuroinformatics) via the adoption and scaling of advanced data tooling, computing, and AI on the cloud. Candidates should have significant experience working on cloud application management, deployment and support, preferably with experience in the health research ecosystem or similar.

                                                                            +

                                                                            This position will be a great opportunity for the successful candidate to develop their cloud DevOps and application stack management skills, work with new technologies for cloud big data and analytics, collaborate with national and international partners, and significantly participate in supporting the advancement of brain discovery and innovation for health impact.

                                                                            -

                                                                            -

                                                                            What CIBC Offers

                                                                            -

                                                                            -

                                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                            +

                                                                            Key Responsibilities:

                                                                              -
                                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                            • -
                                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                            • -
                                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                            • +
                                                                            • Lead technical cloud data and application layers for health research data storage, sharing, and analysis on Microsoft Azure cloud and connected computing environments.
                                                                            • +
                                                                            • Design and implement platform and application services architectures according to cloud best practices for security, usability, performance, and cost.
                                                                            • +
                                                                            • Implement and support core applications and data pipelines stacks on cloud leveraging virtual machines, storage containers, databases, containerized applications, and scalable computing (e.g., Kubernetes, Azure App Services) in accordance with OBI cloud informatics guidelines.
                                                                            • +
                                                                            • Implement and support data management, cloud data storage services using Azure native and third-party storage solutions, databases, and file systems.
                                                                            • +
                                                                            • Implement and support cloud API stack and micro-service integrations and third-party data federations to facilitate data access, computing access and exchanges.
                                                                            • +
                                                                            • Implement and support cloud Analytics/ML services including virtual machines, analytical computing (CPUs, GPUs, TPUs, etc.).
                                                                            • +
                                                                            • Manage and support application user accounts, user access requests, and data preparation for user access.
                                                                            • +
                                                                            • Support security assessments, change management, and implement contingency plans for system upgrades while providing impact analysis and recommendation for system updates.
                                                                            • +
                                                                            • Support the development of OBI cloud application guidelines and Standard Operating Procedures (SOPs) as required.
                                                                            • +
                                                                            • Operate cloud resource budgets with due diligence and planning with the OBI informatics team.
                                                                            • +
                                                                            • Collaborate with third-party DevOps and Security providers, Microsoft Azure partners, and other third-party partners to advance neuroinformatics objectives.
                                                                            • +
                                                                            • Work closely with the OBI neuroinformatics team and service providers with agility and adapt to ongoing requirements changes.
                                                                            • +
                                                                            • Keep abreast of and communicate cloud application and data standards, cloud technology trends and innovation opportunities.
                                                                            -

                                                                            -

                                                                            *Subject to plan and program terms and conditions

                                                                            -

                                                                            What you need to know

                                                                            +

                                                                            Skills & Qualifications:

                                                                              -
                                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                            • -
                                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                            • -
                                                                            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                            • -
                                                                            -

                                                                            -

                                                                            -

                                                                            -

                                                                            -

                                                                            -

                                                                            Job Location

                                                                            Toronto-81 Bay, 25th Floor

                                                                            -

                                                                            Employment Type

                                                                            Regular

                                                                            -

                                                                            Weekly Hours

                                                                            37.5

                                                                            -

                                                                            Skills

                                                                            Analytical Thinking, Communication, Critical Thinking, Decision Making, Organizing
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Client-Insights---Analytics_2410579?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-14T01:10:03.452Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/322296845-senior-manager-client-insights-analytics-at-cibc,,expired,2024-05-10T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, -53ef17e6-28c9-472f-a3d8-e3501b193767,296508141,Scotiabank,Senior Data Modeler,on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.661Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 178360

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          The Wealth Data team within the Global Wealth Engineering (GWE) team is key area in meeting the operational and analytical data needs of the various stake holders within Wealth Management.
                                                                          The Senior Data Modeler will be joining a team that is key in providing strategic data solutions to meet our business objectives. The candidate will play a key role in designing and implementing data modeling solutions using relational, dimensional and NoSQL databases. Working closely with data architects, lead business systems analysts and data engineers they will be responsible for creating and maintaining data models for our databases that support multiple geographies

                                                                          -

                                                                          -

                                                                          Is this role right for you?

                                                                          -
                                                                          • Responsible for hands on creation of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL and NoSQL)
                                                                          • Work with the Data team to implement data strategies, build data flows and develop conceptual data models.
                                                                          • Sole owner of the Data models for all data domains in Wealth management area and provide leadership and expertise in data modeling principles/methods including conceptual, logical & physical Data Models
                                                                          • Understand and translate business needs into data models supporting long-term solutions.
                                                                          • Communicate with Data Analysts, interfacing application teams & Business stakeholders and understand data requirements for consuming applications.
                                                                          • Optimize and update logical and physical data models to support new and existing projects.
                                                                          • Maintain conceptual, logical and physical data models along with corresponding metadata.
                                                                          • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
                                                                          • Recommend opportunities for reuse of data models in new environments.
                                                                          • Analyze data-related system integration challenges and propose appropriate solutions.
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role?

                                                                          -
                                                                          • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
                                                                          • Experience with data hub, data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
                                                                          • Expert knowledge of relational databases and data architecture computer systems, including SQL
                                                                          • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required
                                                                          • Ability to effectively convey ideas to business and technical teams
                                                                          • Ideally 5+ years’ experience in technical system analysis, data mapping and translating/mapping relational data models into XML and Schemas
                                                                          • Knowledge of database administration including database security, backup and recovery, and performance monitoring standards
                                                                          • Knowledge of programming languages such as Java, Python, Scala etc
                                                                          • Knowledge of Google Cloud Platform (GCP) and toolset such Cloud Composer, Dataproc, CloudSpanner etc.
                                                                          • Knowledge of data streaming and technologies such as Kafka, Spark-streaming etc.
                                                                          • Should be a team player and work collaboratively
                                                                          • Excellent verbal, written and presentation skills
                                                                          • Previous experience in Wealth management and/or banking systems highly desirable
                                                                          • Nice to have experience in implementation of operational data store and involved in design of data models across multiple domains such as party, financial, non financial, securities, user domain etc
                                                                          • Nice to have understanding of Wealth business line and the various data domains required for building an end to end solution
                                                                          • Nice to have hands on experience in solution architecture and data architecture experience
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          What's in it for you?

                                                                          -
                                                                          • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
                                                                          • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
                                                                          • Remote-friendly work environment will provide you with the flexibility to perform at your best.
                                                                          • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
                                                                          • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
                                                                          • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
                                                                          • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Working location condition: Hybrid

                                                                          -

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Modeler-ON-M5C2V9/570655817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-25T20:28:00.000Z,False,0,2,94,https://talenthub.vectorinstitute.ai/jobs/296508141-senior-data-modeler-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Modeler-ON-M5C2V9/570655817/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -37987f9b-5571-4bb6-85a7-03b204df4e61,289148974,Scotiabank,Senior Manager Collections Strategies and Data Analytics,on_site,Canada : Ontario : Toronto,2023-11-20T16:24:03.129Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 188445

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +
                                                                        • 5 to 7+ years of experience with preference given to candidates with health research cloud systems experience; relevant MSc or PhD, an asset.
                                                                        • +
                                                                        • Preference will be given to Microsoft Azure cloud experience and certification, however candidates with other cloud experience (public or private) are welcome to apply.
                                                                        • +
                                                                        • Proven ability to adopt agile methodology for systems design, implementation, and support of cloud applications, data and computing resources, including virtual machines, databases (e.g., PostgreSQL, MongoDB), containerization (e.g., Docker, Singularity), cluster management (Kubernetes, Azure App Services), REST API integration, and Git code versioning.
                                                                        • +
                                                                        • Experience with Python framework ecosystems (FastAPI, Flask, Jupyter Notebooks, Streamlit, etc.) with health data modelling services (REST API, GraphQL, FHIR, OMOP) preferred.
                                                                        • +
                                                                        • Experience with CLI based cloud management and orchestrating infrastructure as code (az-cli, bicep, terraform, etc.), writing shell scripts, files, and ops code for deployments, resource management, keys, cryptography, etc. using security best practices (e.g., bash, python, javascript, java, json, etc.).
                                                                        • +
                                                                        • Experience with sensitive data management and ETL (health data experience preferred).
                                                                        • +
                                                                        • Experience working with federated identity applications and management (e.g., SAMBA, OAuth, etc.).
                                                                        • +
                                                                        • Experience with cloud applications and storage security best practices (e.g., TLS, VPC, API security, CORS, container security, etc.)
                                                                        • +
                                                                        • Robust understanding of Microsoft Azure cloud infrastructure and platform management for computing, networking, and storage.
                                                                        • +
                                                                        • Microsoft Azure DevOps, Applications, AI Engineer, and/or Developer certifications an asset.
                                                                        • +
                                                                        • Experience operating with cloud resource budgets, quotas, and support.
                                                                        • +
                                                                        • Possesses excellent analytical and problem resolution skills.
                                                                        • +
                                                                        • Excellent communication skills and English proficiency with a willingness to teach and share lessons learned with the neuroinformatics team.
                                                                        • +
                                                                        • Excellent autonomy along with great collaboration skills.
                                                                        • +
                                                                        • A strong desire to make an impact in brain discovery and patient health.
                                                                        • + +

                                                                          +

                                                                          The Cloud Application Engineer will work alongside the Data Systems Engineer, the Data Quality Analysts, the informatics service providers to OBI, and the broader neuroinformatics team.

                                                                          +

                                                                          +

                                                                          We are a diverse, highly energized, passionate, professional and committed team. We offer an exciting workplace with many opportunities for learning. Qualified candidates are invited to submit a cover letter and resume, by September 10, 2023.

                                                                          +

                                                                          +

                                                                          We thank all applicants for their interest; however, only those selected for an interview will be contacted.

                                                                          +

                                                                          +

                                                                          Ontario Brain Institute is committed to providing accommodations for applicants at any stage of the recruitment and hiring process in accordance with Ontario Brain Institute policy, the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Should you require accommodation, please notify us and we will work with you to provide appropriate accommodations.

                                                                          +

                                                                          +

                                                                          The Ontario Brain Institute is an independent, not-for-profit corporation funded in part by the Government of Ontario.

                                                                          ",,https://obi.bamboohr.com/careers/66,aitalent@vectorinstitute.ai,,,,2023-09-14T18:10:00.000Z,False,0,1,42,https://talenthub.vectorinstitute.ai/jobs/265451536-cloud-applications-engineer-at-ontario-brain-institute,,expired,2023-08-31T20:21:00.000Z,admin,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Masters Degree,New Posting, +3a84e61c-b84a-4c5e-bdc4-0b8bd4963585,260749016,Scotiabank,"Manager Data Analytics, Collections Strategies",on_site,Canada : Ontario : Toronto,2023-08-17T15:52:02.563Z,"

                                                                          -

                                                                          Purpose of Job:

                                                                          -

                                                                          GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

                                                                          -

                                                                          The Senior Manager, Collections Strategies Late Stage is liable for collections and recovery analytics; and to generate and deploy recommendations via business cases and action plans that will be based on customer behaviour including but not limited to payment behaviour, in-house collections effectiveness metrics and external vendors. Given the criticality of the role, it is expected that the Senior Manager is able to manage challenge priorities simultaneously and to identify areas for escalation.

                                                                          -

                                                                          -

                                                                          WHAT’S IN IT FOR YOU?

                                                                          -

                                                                          * Opportunity to make a direct impact to Bank’s profitability

                                                                          -

                                                                          * A compensation program with ambitious salary, opportunities for annual performance incentives based on performance thresholds, a ambitious benefits program and continuing education programs

                                                                          +

                                                                          Requisition ID: 182431

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Job Responsibilities:

                                                                          +

                                                                          Job Purpose
                                                                          Working within GRM, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                                                          -

                                                                          Leverage your strong analytical background in order to collaborate with various business partners to:

                                                                          -

                                                                          Manage late stage collections analytics, strategy, portfolio performance, and technological improvement

                                                                          -

                                                                          Generate analytical recommendations and deploy segmentation strategies that will include the use of Loss Mitigation Tools to minimize loan losses, improve dollars collected, and gain operational efficiencies

                                                                          -

                                                                          Lead the gathering and processing of structured and unstructured data into a form suitable for analysis (for instance writing scripts, web scraping, calling APIs, write SQL/Hive queries,etc.)

                                                                          -

                                                                          Deliver on analytical projects that provide applicable insights to improve collection efforts and recoveries

                                                                          -

                                                                          Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive purpose, evidence based decisions that improve profitability

                                                                          -

                                                                          Design and implement policies to help our customers in need of loan modification programs

                                                                          -

                                                                          Provide oversight of collection efforts by developing performance reports and early warning triggers

                                                                          -

                                                                          Ensure all credit risks associated with collections are derived and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)

                                                                          +

                                                                          Key Accountabilities
                                                                          1. Participate in the strategic management of debt collections by:
                                                                          • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                                                          • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                                                          • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                                                          • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                                                          • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                                                          • Ensuring future enhancements continue to be identified and implemented
                                                                          • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus

                                                                          -

                                                                          Job Requirements:

                                                                          +

                                                                          2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:
                                                                          • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                                                          • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                                                          • Streamlining and/or integrating automation and technology
                                                                          • Continually challenging the ‘status quo’ through innovation
                                                                          • Support construction of a Centre of Excellence in Collections

                                                                          -

                                                                          A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and strong background in statistical and quantitative analysis
                                                                          Strong relationship building and negotiation skills to articulate sound recommendations and influence the support from executives
                                                                          Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                                                                          Expertise in Advanced Analytics discipline including Big Data tools, AI/ Machine Learning.
                                                                          Strong background in statistical & quantitative analysis
                                                                          Three to five years’ experience creating and monitoring credit risk strategies
                                                                          Experience with statistical software packages such as R or SAS
                                                                          Experience manipulating large and complex databases
                                                                          Degree in statistics, economics, computer science or business
                                                                          Experience with TRIAD or similar collections risk platforms strongly desired
                                                                          Experience with Angos or similar platforms strongly desired
                                                                          Experience with using and/or developing credit risk scores and their application in strategies
                                                                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                          • Exceptional organization skills to prioritize, manage, and implement a variety of challenge initiatives, on a concurrent or staggered basis

                                                                          +

                                                                          Functional Competencies
                                                                          • Two to three years’ experience in credit risk and/or retail banking
                                                                          • Experience with statistical software packages such as R, SAS or SQL (required)
                                                                          • Experience with Power Business Intelligence (highly desired)
                                                                          • Strong leadership, collaboration, and communication skills
                                                                          • Degree in business, economics, statistics, or computer science
                                                                          • Experience with using credit risk scores and their application in strategies
                                                                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture (highly desired)
                                                                          • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis (highly desired)
                                                                          • A University degree in Economics, Finance, Business, Mathematics, or Computer science

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Collections-Strategies-and-Data-Analytics-ON-M5H1B6/575872117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-23T16:29:03.159Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/289148974-senior-manager-collections-strategies-and-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Collections-Strategies-and-Data-Analytics-ON-M5H1B6/575872117/,expired,2023-11-20T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -73ecc7b3-252e-4b4b-9520-d6e65b53927c,290391807,Sun Life Financial,Senior Analyst – Data Governance,on_site,"Ontario, Canada",2023-11-23T12:29:01.367Z,"
                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager-Data-Analytics%2C-Collections-Strategies-ON-M5H1B6/572782317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-09-16T21:03:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/260749016-manager-data-analytics-collections-strategies-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Data-Analytics%2C-Collections-Strategies-ON-M5H1B6/572782317/,expired,2023-08-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +bd7a6447-353e-4aff-834d-3a6f938b7b30,269068334,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-09-12T02:24:02.400Z,"

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          Job Description:

                                                                          -

                                                                          Location: Hybrid (one day per week in office)

                                                                          -

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          Role Summary:

                                                                          +

                                                                          Sun Life Financial is a leading international financial services organization providing a diverse range of insurance, wealth and asset management solutions to individual and corporate Clients. Canadian Group Benefits business is the largest private payer of healthcare in Canada with over 3 million members. Our goal is to help Canadians lead healthier lives through workplace benefit programs, ensure outstanding experience when they engage with Sun Life and equip them with tools to manage their health needs.

                                                                          -

                                                                          Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                                                                          +

                                                                          GB Analytics team has a mandate to work across functions to deliver insights critical for business decisions, identify growth opportunities and use data to improve health and financial outcomes. The team collaborates closely with Canadian Data & Analytics and Enterprise Services teams.

                                                                          -

                                                                          Reporting to the Director - Business Intelligence & Data Enablement, the Senior Analyst - Data Governance will be responsible for developing, implementing and maintaining the data governance program for the RA&S team.

                                                                          +

                                                                          Reporting to AVP, Analytics and Strategy as Senior Data Engineer, you will accelerate the growth and application of analytics across Group Benefits. You will also leverage practical experience in applying varied data engineering techniques and design, develop and implement analytics use cases.

                                                                          -

                                                                          What will you do:

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Support the development of the data governance multi-year strategy for RA&S team. Execute and track initiatives and ensure the implementation of plans and tactics to reach data governance maturity.

                                                                          • -
                                                                          • Own the critical data elements work for the RA&S team and ensure the complete documentation of business rules and definitions.

                                                                          • -
                                                                          • Data Dictionary and Data Lineage: Lead the creation of data dictionary and data lineage for all critical data elements identified by the team. Continue to maintain and own all data governance after creation.

                                                                          • -
                                                                          • Data Quality: Partner with the data engineering and BI teams to develop and maintain a comprehensive data quality program. Develop a data quality score card to track the progress of the data quality program.

                                                                          • -
                                                                          • Data Access: Review the current process of granting data access within the team and develop a more robust and streamline process as the team migrate to the data lake.

                                                                          • -
                                                                          • Data Privacy: Ensure the adherence to all data privacy laws and regulations. Stay up to date to new regulations.

                                                                          • -
                                                                          • Platforms: Set up the RA&S team data governance instance in Collibra and continue to maintain and own the development for the team.

                                                                          • -
                                                                          • Risk and Compliance: Ensure the adherence to all internal risk and compliance policies related to documentation, testing and risk assessments.

                                                                          • -
                                                                          • Identify data stewards from each business unit. Work closely and communicate regularly with them to enforce the adherence to and track the effectiveness of the data governance program.

                                                                          • -
                                                                          • Work with other data governance teams within the organization to enable and unlock data governance potential, implement best practices and benchmark against other teams and organizations.

                                                                          • +
                                                                          • Work directly with business stakeholders throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts.
                                                                          • +
                                                                          • Provide plans and estimates for data engineering and business intelligence initiatives
                                                                          • +
                                                                          • Lead development of new batch/low-latency analytical solutions that leverages both traditional and emerging technologies
                                                                          • +
                                                                          • Design, develop and implement highly scalable data capture and transformation processes
                                                                          • +
                                                                          • Create effective ETLs/ELTs to move large volumes of data from various operational systems to dimensional data models for analytics consumption
                                                                          • +
                                                                          • Act as principal designer and reviewer for new data models, make data architectural decision, and provide coaching on data modeling and process design
                                                                          • +
                                                                          • Expand and grow data existing platform capabilities to solve new data problems and challenges
                                                                          • +
                                                                          • Ensure all automated processes preserve data integrity by managing the alignment of data availability and integration processes
                                                                          • +
                                                                          • Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources
                                                                          • +
                                                                          • Identify opportunities for new data acquisition and new uses for existing data resources
                                                                          • +
                                                                          • Research and make recommendations for new data management technologies and software engineering practices. Collaborate on decisions around the use of new tools and practices
                                                                          • +
                                                                          • Perform quality assurance and testing according to risk assessment guidelines to minimize operational, reputation, and legal risk.
                                                                          • +
                                                                          • Define data retention policy, establish data governance best practice, and create automated anomaly detection services
                                                                          • +
                                                                          • Document and update business continuity and disaster recovery procedures.
                                                                          • +
                                                                          • Engage in ongoing collaboration with data architects, modelers and other members to achieve common goals.
                                                                          • +
                                                                          • Provide guidance to development teams regarding best practices and design patterns for analytics solutions. Coach and provide guidance to junior team members
                                                                          • +
                                                                          • Produce and maintain support documentation for ongoing operations.
                                                                          • +
                                                                          • Act as Tier-2/3 support to troubleshoot and resolve technical issues with production data models and
                                                                          • +
                                                                          • Turn complex data into easy to understand data models that are aligned to business objectives
                                                                          • +
                                                                          • Develop a user experience that is simple, yet flexible and enable the data scientists and business intelligence developers that use this data
                                                                          • +
                                                                          • Incorporate data governance and access controls for data management and access in Tableau
                                                                          • +
                                                                          • Manage and coach data analyst on the team in their analytics development journey

                                                                          -

                                                                          What will you need to succeed:

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          +

                                                                          Education and Experience

                                                                          +
                                                                          • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                                                                            -
                                                                          • Minimum of 7 years relevant experience in data governance, ideally within insurance, wealth management or other financial services

                                                                          • -
                                                                          • Experience in using data governance tools and platforms such as Collibra or similar platforms

                                                                          • -
                                                                          • Business and technical understanding of data and advanced analytics concepts and technology

                                                                          • -
                                                                          • University degree in business, engineering, computer science or related discipline

                                                                          • +
                                                                          • Expertise in visual data model design and business intelligence principles
                                                                          • +
                                                                          • 5+ years of experience in:
                                                                              +
                                                                            • Business Intelligence, Data Warehousing, Data Integration, Analytics and Big Data
                                                                            • +
                                                                            • Cloud platforms like Amazon Web Services (AWS)
                                                                            • +
                                                                            • SQL Programming, PL/SQL and stored procedures
                                                                            • +
                                                                            • Experience with Glue and ETL development is a bonus
                                                                            • +
                                                                            • Experience working with Cloud technologies like Amazon Web Services (AWS)
                                                                            • +
                                                                            • Working in an agile development environment including rapid prototyping during sprints
                                                                            • +
                                                                            +
                                                                          • +
                                                                          +

                                                                          Competencies:

                                                                          +
                                                                            +
                                                                          • Experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services
                                                                          • +
                                                                          • Solid understanding of data warehousing principles, architecture and its implementation in complex environments.
                                                                          • +
                                                                          • Hands-on experience with development of ELT/ETL processes in traditional and distributed environments
                                                                          • +
                                                                          • Experience as designer of complex Dimensional data models for analytics services
                                                                          • +
                                                                          • Experience with development for Microsoft SQL Server Analysis Services or equivalent technologies
                                                                          • +
                                                                          • Experience with various testing methodologies and user acceptance testing.
                                                                          • +
                                                                          • Solid skills in SQL, Python and other languages used in data manipulation
                                                                          • +
                                                                          • Experience with Hadoop and Big Data technology
                                                                          • +
                                                                          • Experience with processing large datasets from multiple sources.
                                                                          • +
                                                                          • Ability to operate effectively and independently in a dynamic, fluid environment.
                                                                          • +
                                                                          • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.
                                                                          • +
                                                                          • Demonstrated ability to exchange ideas and convey complex information clearly and concisely
                                                                          • +
                                                                          • Proven ability to lead and drive projects and assignments to completion
                                                                          • +
                                                                          • Experience Tableau data sources and organizing them in structured dimensions and measures for business use
                                                                          • +
                                                                          • End-to-End development experience in Tableau and ability to create complex calculations including Custom SQL, Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                                                                          • +
                                                                          • Using blending, sorting, sets and maps in Tableau
                                                                          • +
                                                                          • Leveraging Tableau Prep for data organization and scheduling
                                                                          • +
                                                                          • Ability to understand data modeling based on user specs
                                                                          • +
                                                                          • Experience tuning the performance of Tableau Server dashboards to optimize client experience
                                                                          • +
                                                                          • Designing custom landing pages for Tableau Server for enhanced user experience and tracking utilization
                                                                          • +
                                                                          • Strong understanding of the economics of the business intelligence value stream and the value proposition of analytics services
                                                                          • +
                                                                          • Ability to work independently, manage engagements or parts of large engagements directly with business partners.
                                                                          • +
                                                                          • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                                                                          • +
                                                                          • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                                                                          • +
                                                                          • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
                                                                          • +
                                                                          +

                                                                          +

                                                                          What will be nice to have?

                                                                          +
                                                                            +
                                                                          • Tableau development and designing dashboards experience
                                                                          • +
                                                                          • Tableau PostgreSQL hands-on analysis
                                                                          • +
                                                                          • Tableau Server and Site administration in prior roles
                                                                          • +
                                                                          • Tableau Desktop and Server / Site Admin Certifications are a bonus
                                                                          • +
                                                                          • Statistical analysis and experience with Python or R prior training or projects
                                                                          • +
                                                                          • PMP and/or Scrum Master certification and experience with SAFe (Scaled Agile Framework)
                                                                          • +
                                                                          • Experience with Lean Six Sigma principles
                                                                          +
                                                                          • Experience in Group Benefits and Insurance or Financial Services Industry

                                                                          -

                                                                          Reliability status:

                                                                          +

                                                                          Unique Job Requirement

                                                                          + +

                                                                          +

                                                                          What\'s in it for you?

                                                                          -

                                                                          Must be able to obtain Reliability Status through the Government of Canada (includes a background check with fingerprinting by the RCMP).

                                                                          -

                                                                          Why join Sun Life:

                                                                            -
                                                                          • Competitive salary and bonus structure influenced by market range data

                                                                          • -
                                                                          • A friendly, collaborative and inclusive culture

                                                                          • -
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                          • -
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                          • -
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                                          • +
                                                                          • Competitive salary and bonus structure influenced by market range data
                                                                          • +
                                                                          • 20 days vacation per year and an innovative sabbatical program
                                                                          • +
                                                                          • Great Place to Work® Certified in Canada and the US - 2022
                                                                          • +
                                                                          • +Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote +
                                                                          • +
                                                                          • A friendly, collaborative and inclusive culture
                                                                          • +
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family
                                                                          • +
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security
                                                                          • +
                                                                          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          @@ -65517,549 +66118,583 @@ f21d3cbe-aba7-42bd-9916-5650d8697f53,322296845,CIBC,"Senior Manager, Client Insi

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          +

                                                                          Salary Range:

                                                                          74,100/74 100 - 120,800/120 800

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          02/12/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analyst---Data-Governance_JR00088843?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-04T12:36:02.836Z,False,0,1,78,https://talenthub.vectorinstitute.ai/jobs/290391807-senior-analyst-data-governance-at-sun-life-financial,,expired,2023-11-23T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1df7cd51-99d8-49f4-869f-6a76938ba3ef,289138484,RBC,"Associate Director, IFRS 9 Execution & Analytics",on_site,"Toronto, ON, Canada",2023-11-20T12:23:02.026Z,"
                                                                          -

                                                                          Job Summary

                                                                          The Associate Director, IFRS 9 Execution & Analytics will assist in the execution, business engagement, and analytics of RBC’s IFRS 9 credit provisioning.

                                                                          The ideal candidate will support the Director, IFRS 9 Credit Provisioning Canadian Banking Retail in developing and generating reports for oversight committees and senior management, and manage the maintenance and development of requisite processes, SOX controls, and analyses in support of credit provisioning activities.

                                                                          +

                                                                          Posting End Date:

                                                                          17/09/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00085596?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-09-19T02:29:02.145Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/269068334-senior-data-engineer-at-sun-life-financial,,expired,2023-09-12T02:24:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +9022bfcc-287a-4410-a1a3-7f153cf95628,269830609,Magna International,Data Analyst,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-09-14T16:29:02.746Z,"
                                                                          +
                                                                          +

                                                                          Position Summary

                                                                          +
                                                                          The Data Analyst will be tasked with managing and organizing data into a format that can be easily analyzed.
                                                                          +
                                                                          +
                                                                          +

                                                                          Key Responsibilities

                                                                          +
                                                                          +
                                                                          The below list includes a general overview of job responsibilities and is not exhaustive.
                                                                          +
                                                                          • Preparation of Regional purchasing reports. Ensuring prompt Divisional submissions, verification and consolidation of Divisional data into Regional. (PPV & Cost Reduction, Spend Data, Opportunities & Strategies).
                                                                          • Data mining and consolidating to create value added reports, presentations, and executive summaries.
                                                                          • Verification and follow up of data integrity – PPV submissions, Commodity reports, Global Spend Analytics.
                                                                          • Cross functional data management projects with Divisions, Global Commodity Teams, and Regional Purchasing Director.
                                                                          • Enhance data management and analytical tools through digitalization and automation.
                                                                          • Oversight and management of purchasing data management, analytics, and reporting.
                                                                          • Alignment and cross functional with MML Americas Divisions, Regional Director, and Global Commodity Team.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Key Qualifications/Requirements

                                                                          +
                                                                          • Education Preferred: Bachelor’s/Master’s Degree in Business, Engineering, Statistics, Computer Science,Mathematics, Supply Chain or equivalent combination of education and experience.
                                                                          • Years of Experience Required: Minimum three (3) years of related experience required
                                                                          • Expert in Microsoft Suite (Excel, Outlook, etc. and also including PowerBI)
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          Awareness. Unity. Empowerment.

                                                                          +
                                                                          At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
                                                                          +
                                                                          +
                                                                          ",,https://jobs.magna.com/job/Newmarket-Data-Analyst-ONTA-L3X-2S2/572589517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-09-19T03:16:00.000Z,False,0,18,50,https://talenthub.vectorinstitute.ai/jobs/269830609-data-analyst-at-magna-international,https://jobs.magna.com/job/Newmarket-Data-Analyst-ONTA-L3X-2S2/572589517/,expired,2023-09-14T16:29:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +4d28ee37-ba66-4881-ade4-56b9fa8783ee,237886659,Vector Institute (Internal Opportunities Only),Anomaly Detection Workshop - Instructor,full,Anywhere,2023-06-20T20:08:21.401Z,"

                                                                          Please note this position will not be formally contracted until the enrollment is finalized and the program is confirmed as running. Confirmation is expected on or before August 8, 2023. The decision on whether to proceed with the program is dependent on the number of participant registrations (i.e., a minimum number of participants must be registered).

                                                                          +

                                                                          We are advertising for these positions in advance of August 8, 2023, so we are able to move quickly on staffing and developing the program content once confirmed. Any work done prior to the program confirmation will be remunerated accordingly, even if the program is cancelled.

                                                                          +

                                                                          Please note that the Vector Institute will conduct an evaluation of workshop participants to both evaluate the performance of the instructors, as well as consider program improvements for future iterations.

                                                                          +

                                                                          The instructor(s) for this program may be asked to provide their service to other programs of similar type, where offered by the Vector Institute in the same fiscal year, provided they receive positive feedback from the program participants and receive successful evaluation from Vector’s Technical Education Specialists (TES).

                                                                          +

                                                                          STATEMENT OF WORK: Accelerated Workshop: Anomaly Detection - Instructor

                                                                          +

                                                                          This Instructor position is for the development and delivery of a 3-day accelerated Anomaly Detection workshop This workshop will be offered prior to the Anomaly Detection bootcamp organized by Vector’s Projects team to refresh and upskill novice bootcamp participants.

                                                                          +

                                                                          Program Dates: August 15, 17, 21, 2023; 1pm – 3pm EST

                                                                          +

                                                                          Location: This 3-day workshop will be delivered online via Zoom

                                                                          +

                                                                          Instructor activities include:

                                                                          +

                                                                          Administration

                                                                          +
                                                                            +
                                                                          • Prepare lecture content and slides in partnership with the PD, Projects and AI Engineering teams
                                                                          • +
                                                                          • Ensure that all course materials (e.g. lesson objectives, slides, discussion prompts, assignment activities) are prepared in advance of the lecture time and are available in the Vector Learning Management System (LMS), currently D2L
                                                                          • +
                                                                          • Attend scheduled program team meetings: planning and debrief (typically weekly)
                                                                          • +
                                                                          • Supervise TAs on preparation of tutorial content
                                                                          • +
                                                                          • Deliver three 2-hour lectures on the topic “Anomaly Detection”
                                                                          • +
                                                                          • Teach all lectures in the program on time, to a high standard of service, and in an environment free of distractions.
                                                                          • +
                                                                          • Respond to questions from participants as required
                                                                          • +
                                                                          +

                                                                          Teaching and evaluations

                                                                          +

                                                                          Fees: This is a paid position. The flat fee for this workshop is $3,000 (CAD) in total for development, delivery, and administration. An invoice must be submitted at the end of the workshop. All fees are payable at the end of the workshop, and upon completion of all contractual responsibilities.

                                                                          +

                                                                          Workshop Structure

                                                                          +

                                                                          Prior to the commencement of the workshop, touchpoints include:

                                                                          +
                                                                            +
                                                                          • Team kick-off/ curriculum development meeting
                                                                          • +
                                                                          • Team progress meeting
                                                                          • +
                                                                          +

                                                                          These meetings will accommodate schedules as much as possible.

                                                                          +

                                                                          Lessons

                                                                          +
                                                                            +
                                                                          • Lectures: August 15, 17, 21, 2023 (Tuesday, Thursday, Monday), 1:00 pm – 3:00 pm EST
                                                                          • +
                                                                          • TA Office Hours: Days to be confirmed, 7 pm – 8 pm EST (TBC)
                                                                          • +
                                                                          +

                                                                          The time of TA office hours will be determined by the availability of the TAs but shall be consistent throughout the workshop. The 7pm – 8pm time slot is preferred to accommodate work/life/professional development balance for the participants and provide timely support to complete their assignments.

                                                                          +

                                                                          Workshop Content

                                                                          +

                                                                          Please note: This is a projected high-level overview. The topics and content will be finalized once an instructor has been hired.

                                                                          +

                                                                          Day 1: Introduction to Anomaly Detection

                                                                          +

                                                                          I. Introduction (30 mins)

                                                                          +

                                                                          II. Anomaly Detection in Tabular Data (45 mins)

                                                                          +

                                                                          III. Anomaly Detection in Computer Vision (45 mins)
                                                                          +
                                                                          +

                                                                          +

                                                                          Day 2: Deep Dive into Anomaly Detection Methods

                                                                          +

                                                                          I. Advanced Anomaly Detection in Tabular Data (40 mins)

                                                                          +

                                                                          II. Advanced Anomaly Detection in Computer Vision (40 mins)

                                                                          +

                                                                          III. Introduction to Anomaly Detection in Graph Data (40 mins)
                                                                          +
                                                                          +

                                                                          +

                                                                          Day 3: Advanced Techniques and Real-world Applications

                                                                          +

                                                                          I. Advanced Anomaly Detection in Graph Data (40 mins)

                                                                          +

                                                                          II. Anomaly Detection in Financial Data (40 mins)

                                                                          +

                                                                          III. Conclusion and Future Directions (40 mins)
                                                                          +
                                                                          +

                                                                          +

                                                                          Pedagogical Approach

                                                                          +

                                                                          Workshop sessions will be delivered in an interactive lecture/discussion format, with practical examples and case studies used to spark reflection and discussion. All sessions will be delivered online via Zoom.

                                                                          +

                                                                          Level of Training and Learner Prerequisites

                                                                          +

                                                                          Pre-requisites: Basic knowledge of Python and Machine Learning. Familiarity with PyTorch or TensorFlow would be beneficial but is not mandatory. Basic understanding of Graph Theory is helpful but not necessary. Throughout the course, participants will be given code snippets and datasets to practice the discussed concepts. By the end of the workshop, participants should have a clear understanding of how to detect anomalies in tabular data, image data, and graph data, and how to apply these techniques in real-world situations.

                                                                          +

                                                                          +

                                                                          Application

                                                                          +

                                                                          To apply, please submit your CV and cover letter to learn@vectorinstitute.ai.

                                                                          +

                                                                          Interested parties are strongly encouraged to apply as soon as possible. Applications will be reviewed on a rolling basis until filled.

                                                                          ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2023-07-20T20:42:52.153Z,False,2,0,39,https://talenthub.vectorinstitute.ai/jobs/237886659-anomaly-detection-workshop-instructor-at-vector-institute-internal-opportunities-only,,expired,2023-06-20T20:08:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Senior Level,Masters Degree,New Posting, +107d4d44-37d8-43dd-8ac2-bdd58487433d,275901476,RBC,"GRM, Risk Analyst Intern",on_site,"Toronto, ON, Canada",2023-10-02T12:21:02.815Z,"
                                                                          +

                                                                          Come Work with Us!

                                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                          +

                                                                          Job Title

                                                                          GRM, Risk Analyst Intern

                                                                          Job Description

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          As part of the Group Risk Management (GRM) team, the Associate Director, IFRS 9 Execution & Analytics will assist in the execution, business engagement, and analytics of RBC’s IFRS 9 credit provisioning.

                                                                          -

                                                                          -

                                                                          The ideal candidate will support the Director, IFRS 9 Credit Provisioning Canadian Banking Retail in developing and generating reports for oversight committees and senior management, and manage the maintenance and development of requisite processes, SOX controls, and analyses in support of credit provisioning activities.

                                                                          +

                                                                          The Market Risk group provides independent and effective on-site monitoring, controlling and communicating on the nature and extent of all material market and trading credit risks and to ensure the implementation of and compliance with risk management policies and procedures. The incumbent will lead in developing and promoting a “Best in Class” risk oversight environment for the market risk associated with RBC’s Commodities Trading business and activities

                                                                          What will you do?

                                                                            -
                                                                          • Understand and analyze portfolios results from IFRS9 expected credit loss models
                                                                          • -
                                                                          • Prepare reporting and provide communication to functional stakeholders on portfolios’ analysis and results
                                                                          • -
                                                                          • Assist with preparing reports and analyses for the Allowance Committee and senior executives, explaining/correlating reported expected credit loss (ECL) with macroeconomic and portfolio loss drivers.
                                                                          • -
                                                                          • Work with the Credit Measurement System team to understand credit provision results and assumptions
                                                                          • -
                                                                          • Work with the Credit Methodology and Modelling team to understand modelling assumptions and impact of ongoing methodology enhancement
                                                                          • -
                                                                          • Enhance the reporting framework by creating more tailored reports for specific stakeholders and improving current processes
                                                                          • -
                                                                          • Assist with preparing documentation of processes and policies including SOX controls as required
                                                                          • -
                                                                          • Keep abreast of macroeconomic, regulatory, accounting and other financial industry developments as they relate to RBC\'s credit provisioning.
                                                                          • +
                                                                          • Oversee and enhance risk control processes for Local market risk: Develop key sensitivity metrics, implement metrics and establish risk reporting; establish and implement appropriate limits to ensure that business is operating within approved policies and limits; identify supplementary risk controls that may be required to manage the risks and exposure as necessary
                                                                          • +
                                                                          • Monitor trading activities and exposures to ensure they are within approved policies and limits, and that reports are timely and accurate.
                                                                          • +
                                                                          • Provide insights and commentary on key risks and exposures versus market trends and potential events.
                                                                          • +
                                                                          • Work on a particular project to improve the market risk framework.

                                                                          -

                                                                          What do you need to succeed?

                                                                          -

                                                                          -

                                                                          Must-have

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          Must-have

                                                                            -
                                                                          • Strong banking and risk knowledge (wholesale or retail credit or both), with cross-functional capability Risk and Finance;
                                                                          • -
                                                                          • University degree preferred in an analytical discipline such as Finance, Statistics, Mathematics, or Economics;
                                                                          • -
                                                                          • Experience in SAS/R/Python/MATLAB or other mathematical / statistical programming languages
                                                                          • -
                                                                          • Strong ability to communicate, verbally and in writing, complex concepts in non-technical terms to business segment and Finance.
                                                                          • -
                                                                          • Quick learner with outstanding analytical, and problem solving skills, with an ability to work towards challenging deadlines and deliver under pressure
                                                                          • +
                                                                          • A Master’s degree in Finance, Economics or a Quantitative subject
                                                                          • +
                                                                          • Knowledge of market risk concepts (sensitivity analysis, VaR, stress testing etc.)
                                                                          • +
                                                                          • Knowledge of financial products: Forwards, Swaps, Options.
                                                                          • +
                                                                          • Strong written and oral communication skills with the ability to condense complex details into narratives suitable for communication with senior risk and business management
                                                                          • +
                                                                          • Sufficiency in Excel-VBA, and other programming languages like Python and/or SQL.
                                                                          -

                                                                          -

                                                                          Nice-to-have

                                                                          +

                                                                          Nice-to-have

                                                                            -
                                                                          • A thorough understanding of relevant accounting and regulatory rules and requirements (IFRS 9, Basel) preferred
                                                                          • -
                                                                          • Experience with Canadian Banking retail portfolios (Home Equity Finance, Cards, Personal Lending)
                                                                          • +
                                                                          • Proven experience with Python and SQL.
                                                                          • +
                                                                          • Knowledge of commodity markets (Oil, Natural Gas, Precious and Base Metals, etc).

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          What’s in it for you?

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • -
                                                                          • Opportunities to do challenging work

                                                                          • -
                                                                          • Flexible work/life balance options

                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • +
                                                                          • Ability to make a difference and lasting impact
                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • +
                                                                          • Opportunities to do challenging work and make a difference
                                                                          • +
                                                                          • Opportunities to building close relationships
                                                                          • +
                                                                          • Opportunity to learn variety of asset classes within RBC business units
                                                                          • +
                                                                          • Opportunity to learn and lead comprehensive and amalgamated ’commodities businesses and strategies’ within Market Risk
                                                                          • +
                                                                          • Potential to utilize transferable skills and grow within other related business areas

                                                                          +

                                                                          Please note: This posting is for a 4-months Winter 2024 Student placement with a start date of January 2024, and end date of April 2024. In order to be eligible for this 4-months Student position, you must either:

                                                                          +
                                                                            +
                                                                          • Be returning back to school after the work term end-date of April 2024 ; or
                                                                          • +
                                                                          • If you are not returning back to school (i.e. are graduating in April 2024), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.
                                                                          • +
                                                                          +

                                                                          Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

                                                                          +

                                                                          We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 6, 2023. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                                          +

                                                                          RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

                                                                          -

                                                                          Job Skills

                                                                          Accounting Finance, Budgeting, Business Acumen, Decision Making, Effectiveness Measurement, Finance, Financial Risk Management (FRM), Knowledge Organization, Long Term Planning, Performance Management (PM)

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          GROUP RISK MANAGEMENT

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-11-17

                                                                          Application Deadline:

                                                                          2023-12-03

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          +

                                                                          Job Summary

                                                                          Implements market risk analysis and participates in implementing risk management systems and processes to minimize market risk. Applies complete knowledge, skills, and practices to perform assignments.

                                                                          Address:

                                                                          ROYAL BANK PLAZA, 200 BAY ST:TORONTO

                                                                          City:

                                                                          CAN-ON-TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Group Risk Management

                                                                          Job Type:

                                                                          Student/Coop (Fixed Term)

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-09-26

                                                                          Application Deadline:

                                                                          2023-10-06

                                                                          Inclusion and Equal Opportunity Employment

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000068590/GRM-Risk-Analyst-Intern,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-09T12:26:02.302Z,False,0,4,47,https://talenthub.vectorinstitute.ai/jobs/275901476-grm-risk-analyst-intern-at-rbc,,expired,2023-10-02T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +18f13979-8c27-4770-8ad6-4f2bf2cb4c11,275901569,OMERS,"Data Analyst, Investment Finance",on_site,"Ontario, Canada",2023-10-02T12:30:03.576Z,"
                                                                          +

                                                                          +

                                                                          +

                                                                          The Data Analyst will be part of the Toronto based Financial Systems & Workflows Team within the Investment Finance Division, reporting to the Manager, Financial Systems & Workflow. The DataAanalyst will support the development of the portfolio analytics capabilities and support BI solutions for the Investment Finance team and its stakeholders to make informed decisions. The Data Analyst will work with various datasets, employ various data analysis techniques, and communicate their findings to stakeholders. To succeed in this role, the ideal individual needs a strong attention to detail and be a team player with a proven ability to build relationships between the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                          +

                                                                          CORE RESPONSIBILITIES:

                                                                          +
                                                                            +
                                                                          • Design and develop comprehensive dashboards and reporting leveraging Power BI or similar business intelligence tools
                                                                          • +
                                                                          • Work across functional areas to understand and identify reporting objectives to develop relevant reporting capabilities
                                                                          • +
                                                                          • Collect, cleanse, and process data sets from various sources, including databases, spreadsheets and external sources to ensure accuracy and consistency
                                                                          • +
                                                                          • Identify, analyze, interpret and report on trends or patterns in data sets
                                                                          • +
                                                                          • Review extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, data integrity issues, and follow the divisional data governance policies
                                                                          • +
                                                                          • Explore data sets and draw meaningful conclusions and insights, including identifying critical metrics and KPIs
                                                                          • +
                                                                          • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting
                                                                          • +
                                                                          • Conduct gap analysis to identify and recommend process improvements that affect data quality
                                                                          • +
                                                                          • Investigate, evaluate and/or propose solutions to identified problems
                                                                          • +
                                                                          • Collaborate with cross-functional teams, including finance, accounting, and IT, to address data-related challenges
                                                                          • +

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000072332/Associate-Director-IFRS-9-Execution-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-12-04T12:28:01.624Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/289138484-associate-director-ifrs-9-execution-analytics-at-rbc,,expired,2023-11-20T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -ff3b8178-f7f2-4044-bb28-3d2ff0b069c6,291128089,BMO Financial Group,Sr Data Engineer,on_site,"Ontario, Canada",2023-11-27T12:19:01.621Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          12/07/2023

                                                                          -

                                                                          -

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          +

                                                                          QUALIFICATIONS:

                                                                          +
                                                                            +
                                                                          • 3+ years of experience in financial management and investment support environment with exposure to relevant applications and workflow activities
                                                                          • +
                                                                          • University degree in Accounting, Finance, Mathematics, Computer Science, or related discipline
                                                                          • +
                                                                          • Experience with data visualization tools like Power BI, or data visualization libraries
                                                                          • +
                                                                          • Strong proficiency in data analysis tools and programming languages, such as Alteryx, SQL Python or others
                                                                          • +
                                                                          • Strong communication skills (written and verbal) to effectively convey complex findings to non-technical stakeholders
                                                                          • +
                                                                          • Experience in defining, implementing, and supporting innovative business solutions
                                                                          • +
                                                                          • Familiarity with database systems and data storage technologies
                                                                          • +
                                                                          • Experience with machine learning and predictive modeling is an asset
                                                                          • +
                                                                          • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment
                                                                          • +

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          #LI-Hybrid

                                                                          -

                                                                          Responsibilities:

                                                                          -

                                                                          Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
                                                                          Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                          Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
                                                                          Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
                                                                          Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
                                                                          Develops innovative approaches to address complex business problems and solutions, assisting with business cases
                                                                          Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
                                                                          Expert knowledge of Python, SAS, SQL and R are essential
                                                                          Extensive work experience building predictive models with machine learning methods
                                                                          Ability to apply statistical techniques and data mining tools to solve business problem
                                                                          Significant experience building UI mockups and optimizing dashboard for user experience
                                                                          Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
                                                                          Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
                                                                          Hands-on experience of SQL and Python for data access and basic transformation
                                                                          Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
                                                                          Experience in query optimization, debugging and automation
                                                                          Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
                                                                          Familiarity with an agile development process

                                                                          -


                                                                          Preferred Qualification

                                                                          -

                                                                          7+ years of experience in data analytics environments
                                                                          Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
                                                                          Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
                                                                          Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
                                                                          Experience with data modeling, warehousing and building ETL pipelines
                                                                          Experience with AWS solutions - Azure data platform, experience with Azure functions and services
                                                                          Ability to test, identify and troubleshoot report and dataset issues
                                                                          General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
                                                                          ITSM + Asset/CMDB knowledge is an asset
                                                                          Dynatrace, Aternity, lakeside knowledge is an added advantage

                                                                          -


                                                                          Certifications(atleast 1):

                                                                          -

                                                                          Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
                                                                          Microsoft Certified: Power BI Data Analyst Associate PL-300

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          +

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Investment-Finance_JR-5432?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-10-09T12:35:02.806Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/275901569-data-analyst-investment-finance-at-omers,,expired,2023-10-02T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +6ef4d607-1bc3-4c48-83d9-802341e639d3,274553907,BMO Financial Group,"Head, Business Intelligence & Insights",on_site,"Ontario, Canada",2023-09-28T12:19:02.034Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          10/09/2023

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Data-Engineer_R230016801?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-12-04T12:24:02.132Z,False,0,1,49,https://talenthub.vectorinstitute.ai/jobs/291128089-sr-data-engineer-at-bmo-financial-group,,expired,2023-11-27T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -9e35e369-7ff9-4478-b978-529f633b2391,287536657,Scotiabank,"Director, Data Analytics, Models, Data and Al Risk Management",on_site,Canada : Ontario : Toronto,2023-11-13T16:24:02.727Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 188252

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Purpose of Job:

                                                                          -

                                                                          -

                                                                          The Director Data Analytics will lead a team of data, reporting, and analytical professionals to drive the information needs for Models, Data & AI Risk Management department and develop a divisional program to improve the use of data assets, automate processes related to data and report generation, and build a judicious roadmap to prioritize future state of next generation tools. Key areas of focus include:

                                                                          -

                                                                          -

                                                                          • Direct information systems and establish effective communication throughout the department.
                                                                          • Ensure data quality and transparency by identifying, collecting, and standardizing source information systems across the department meets OSFI standards.
                                                                          • Drive the ongoing development of Business Intelligence and ensure it continues to meet the evolving needs of the department.
                                                                          • Provide technological and information infrastructure necessary to assist model life cycle data marts, self-serve analytics and reporting in a timely and efficient manner.
                                                                          • Interact closely with cross functional working groups from both business and technical sides to ensure the business information system is consistent with industry best practices/standards.

                                                                          -

                                                                          Job Responsibilities:

                                                                          -

                                                                          -
                                                                          • Oversee the design and development of a reporting and insights information system to assist model life cycle activities and decision making.
                                                                          • Integrate departmental information to facilitate consolidated and/or comparative data analysis while providing all necessary assist to ensure accurate, clean databases in a timely manner.
                                                                          • Achieve judicious information management, manage organization’s data architecture and infrastructure, and improve the value of data assets.
                                                                          • Design and implement standard performance tools to consistently monitor the model risk indicators (KPIs) and establish measures of success and plans to achieve targeted outcomes.
                                                                          • Contribute to and serve as an advocate for divisional information methodology, processes, and technology architecture standards and ensure constraints are widely understood across the enterprise.
                                                                          • Direct the business intelligence strategy and decision assist solutions by providing leadership and expertise in the development, communication and implementation of short and long-term plans.
                                                                          • Develop and articulate a judicious vision of future state of decision assist and business intelligence capabilities, including software, hardware, data base structures within the department’s mission.
                                                                          • Maintain a good understanding of the Bank's business strategies, policies, risk management and IT processes including working with enterprise data management office and Technology teams.
                                                                          • -Builds a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment
                                                                          • -
                                                                          -

                                                                          Job Requirements:

                                                                          -

                                                                          -
                                                                          • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics).
                                                                          • High business acumen with understanding of regulatory and socio-economic landscapes across markets.
                                                                          • Established leadership skills with ability to lead large teams and deliver on large-scale client facing projects.
                                                                          • Solid social skills with ability to build judicious relationships and influence key stakeholders.
                                                                          • Effective communication skills with ability to prepare and deliver presentations to executive audiences.
                                                                          • Ability to communicate technical concepts to non-technical clients and articulate business needs by identifying activities which may be improved using technology.
                                                                          • Experience cleaning, transforming, and visualizing large data sets working with various data formats.
                                                                          • Hands-on experience with Big Data ecosystem tools experience using and implementing visualization tools.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Analytics%2C-Models%2C-Data-and-Al-Risk-Management-ON-M5C2V9/575710517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,2,98,https://talenthub.vectorinstitute.ai/jobs/287536657-director-data-analytics-models-data-and-al-risk-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Analytics%2C-Models%2C-Data-and-Al-Risk-Management-ON-M5C2V9/575710517/,expired,2023-11-13T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -2cb4520b-344d-4e80-91a2-cfc1da53be13,298833160,NVIDIA,Senior Developer Technology Engineer,full,Canada,2024-01-04T16:38:22.922Z,"

                                                                          We are now looking for a Senior Deep Learning Software Engineer! NVIDIA is seeking a Senior Deep Learning Engineer with broad DL knowledge! NVIDIA is rapidly growing our research and development capacity for Deep Learning and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like Instant NeRF, LLM, ChatGPT, and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team working with game developers and researchers building the future of gaming. Leverage internal and external research and methodologies to tackle important challenges. Optimize and fine tune models to run in split second real-time game applications.

                                                                          -

                                                                          -

                                                                          What you'll be doing:

                                                                          -
                                                                            -
                                                                          • Develop DL based solutions to hard problems in our group and game development in various areas such as path tracing, image generation, model generation, trace analysis, animation, and more
                                                                          • -
                                                                          • Do performance optimization, analysis, and tune DL models to run on available resources.
                                                                          • -
                                                                          • Work with cross-collaborative teams across across the company to solve novel problems.
                                                                          • -
                                                                          -

                                                                          What we need to see:

                                                                          -
                                                                            -
                                                                          • Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).
                                                                          • -
                                                                          • 10+ years of relevant software development experience.
                                                                          • -
                                                                          • You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.
                                                                          • -
                                                                          • Experience and interest in graphics rendering, path tracing particularly.
                                                                          • -
                                                                          • Prior experience with performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.
                                                                          • -
                                                                          • GPU programming experience (CUDA or OpenCL) is a plus.
                                                                          • -
                                                                          -

                                                                          -

                                                                          GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

                                                                          -

                                                                          -

                                                                          The base salary range is 135,000 CAD - 409,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

                                                                          -

                                                                          You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Deep-Learning-Engineer_JR1975861,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-01-29T18:57:00.000Z,False,0,2,99,https://talenthub.vectorinstitute.ai/jobs/298833160-senior-developer-technology-engineer-at-nvidia,,expired,2024-01-04T16:38:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -530a1d00-9ae2-41a4-b151-d4b130bbae4e,300038090,Roche,Data Scientist Associate (Internship/Co-op),hybrid,"Mississauga, ON, Canada",2024-01-11T17:04:45.726Z,"

                                                                          The Position

                                                                          -

                                                                          Data Scientist Associate (Internship/Co-op)

                                                                          -

                                                                          Length: 8 months (required).

                                                                          -

                                                                          Position type: Full time (business hours) – Hybrid (required).

                                                                          +

                                                                          As Head, Business Intelligence & Insights, you will play a crucial role in shaping our strategic direction by leveraging data to help senior leadership make informed decisions, manage risks, and drive innovation. You will lead a high-performing team and implement business intelligence initiatives that will help BMO Global Asset Management (GAM) deliver an optimal client experience, grow revenue, and drive efficiency. This role requires a leader who is strategic minded, has exceptional technical skills, and has a proven track record of success in building advanced analytics teams and capabilities.

                                                                          -

                                                                          This internship position is located in Mississauga. Below is a description of some of the projects an intern may expect during the course of their internship.

                                                                          +

                                                                          KEY RESPONSIBILITIES

                                                                          -

                                                                          Job Purpose

                                                                          -

                                                                          The Data Science Associate Internship role is an opportunity to be a member of an interdisciplinary scrum team responsible for designing and implementing automation-based solutions for all phases of the life cycle for R packages, Python libraries and other data science products.

                                                                          -

                                                                          Your scrum team will develop a suite of multifaceted, reusable and scalable CI/CD pipelines, both internal and open sourced, to ensure that code quality, security, and compliance are guaranteed from project inception through release. You will also play a critical role in designing and building LLM tools, frameworks, and methodologies to improve data science programming efficiency.

                                                                          -

                                                                          Job Accountabilities may include

                                                                          -
                                                                            -
                                                                          • Develop scalable software solutions, data pipelines and infrastructures to facilitate integration, deployment and release of R/Python and other data science languages, including AI applications.
                                                                          • -
                                                                          • Learn and understand software development gaps our data scientists face, and propose and deliver solutions, automations and innovations to amplify their impact.
                                                                          • -
                                                                          • Continually search for opportunities to automate workflows and streamline processes.
                                                                          • -
                                                                          • Work with business stakeholders through to highly technical software engineers to identify functional needs.
                                                                          • -
                                                                          -

                                                                          Who You Are

                                                                          -

                                                                          Basic requirements

                                                                          +

                                                                          Leadership & Strategy

                                                                            -
                                                                          • Must be currently enrolled in a graduate program in a Master level.
                                                                          • -
                                                                          • Master Degree intern majoring in Computer Science, Bioinformatics and related computational field (highly preferred in the Master of Science in Applied Computing MScAC at UofT)
                                                                          • -
                                                                          • Availability to attend the internship in a hybrid model, full time and for a minimum of 8 months length.​
                                                                          • -
                                                                          • Experience with software development workflow including versioning and code collaboration with Git, and CI/CD tools is essential.
                                                                          • -
                                                                          • Expert knowledge on the process of writing R/Python code, and a thought leader on how to automate development and and empower R/Python data science talent with tooling for writing, building, linting, and deploying their R/Python packages and libraries is essential.
                                                                          • -
                                                                          • Strong knowledge of ML concepts and understanding of ML-based product lifecycle and operations. Familiarity with ML toolkits.
                                                                          • -
                                                                          • Hands-on experience in building an automation infrastructure, tools, and frameworks for large-scale AI/ML or cloud-based applications leveraging cross-functional partnerships.
                                                                          • -
                                                                          • Demonstrated experience in evaluating and testing machine learning models. Familiarity with performance metrics, validation techniques, and statistical analysis.
                                                                          • +
                                                                          • Develop and execute the vision and roadmap for Business Intelligence & Insights capabilities to support BMO GAM growth strategy
                                                                          • +
                                                                          • Collaborate with senior leadership to identify opportunities for data-driven growth and efficiency improvements
                                                                          -

                                                                          Other requirements

                                                                          +

                                                                          +

                                                                          Team management

                                                                            -
                                                                          • Passion for learning and curious about drug development in the biotech industry.
                                                                          • -
                                                                          • Passion for staying up-to-date with the latest advancements in AI models and their applications.
                                                                          • -
                                                                          • Familiarity with web development principles, best practices and frameworks is strongly preferred.
                                                                          • -
                                                                          • Student organization and/or study abroad experiences are a plus.
                                                                          • -
                                                                          • Excellent communication, collaboration, and interpersonal skills.
                                                                          • -
                                                                          • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
                                                                          • +
                                                                          • Lead and mentor a team of analysts, data scientists, and business intelligence professionals
                                                                          • +
                                                                          • Foster a culture of continuous improvement, innovation, and learning
                                                                          -

                                                                          Relocation benefits are not available for this job posting.

                                                                          -

                                                                          Who we are

                                                                          -

                                                                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                          -

                                                                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                          -

                                                                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                          -

                                                                          Roche is an Equal Opportunity Employer.

                                                                          ",,https://careers.roche.com/global/en/job/202310-122911/Data-Scientist-Associate-Internship-Co-op,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-01-29T18:58:00.000Z,False,0,30,198,https://talenthub.vectorinstitute.ai/jobs/300038090-data-scientist-associate-internship-co-op-at-roche,,expired,2024-01-11T17:04:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, -69f586e4-fe8c-4ea0-8711-4fb007a6a329,302188756,RBC,Sr Data Engineer,on_site,"Toronto, ON, Canada",2024-01-23T18:47:23.026Z,"

                                                                          Job Summary

                                                                          -

                                                                          Design, implement and support Data Engineering solutions and processes across a global organization. We are looking for a Data Engineer with hands-on experience in designing and developing data platforms. As a member of a dynamic, fast paced team, this role brings strong data architecture and data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. This role requires strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times.

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          What will you do?

                                                                          -
                                                                            -
                                                                          • Design Cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
                                                                          • -
                                                                          • Demonstrates outstanding understanding of Cloud (Snowflake) services especially in the data engineering and analytics space.
                                                                          • -
                                                                          • Work closely with data team, and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs.
                                                                          • -
                                                                          • Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.
                                                                          • -
                                                                          • Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.
                                                                          • -
                                                                          • Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and valuable for analytics and reporting purposes.
                                                                          • -
                                                                          • Build and implement ETL frameworks to improve code quality and reliability.
                                                                          • -
                                                                          • Ensure accuracy and consistency of data processing, results, and reporting.
                                                                          • -
                                                                          • Leverage your experience to drive best practices in ML and data engineering.
                                                                          • +

                                                                            Insights & Analysis

                                                                            +
                                                                              +
                                                                            • Leverage advanced analytics capabilities (predictive, prescriptive, and machine learning) to uncover patterns, trends, and insights that may not be apparent through traditional descriptive or diagnostic analytics. Leverage these capabilities to help forecast market trends, customer demands, and emerging technologies
                                                                            • +
                                                                            • Drive innovation and competitive advantage by uncovering insights from data to identify new market opportunities, innovative product ideas, or process improvements
                                                                            -

                                                                            What do you need to succeed?

                                                                            -

                                                                            Must Have

                                                                            +

                                                                            +

                                                                            Reporting & Visualization

                                                                              -
                                                                            • A minimum of 5 years of hands-on Data Engineer experience, with a proven track record of delivering data solutions.
                                                                            • -
                                                                            • 3+ years of hands-on experience in system integration, data and cloud architecture (Snowflake and Azure), and technologies.
                                                                            • -
                                                                            • Solid Experience in building and optimizing data pipelines, architectures, and data sets.
                                                                            • -
                                                                            • Solid grasp/experience with data technologies & tools (Hadoop, PySpark, etc.)
                                                                            • -
                                                                            • Experience with full end-to-end data solutions, including assessment of data needs, data modelling, and data visualizations
                                                                            • -
                                                                            • Proficiency in programming languages such as Python and SQL.
                                                                            • -
                                                                            • Strong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.
                                                                            • -
                                                                            • Defining and building scalable ETL/ELT workflows for reporting and analytics.
                                                                            • -
                                                                            • Developing scripts and programs for converting various types of data into usable formats.
                                                                            • -
                                                                            • Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.
                                                                            • -
                                                                            • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.
                                                                            • +
                                                                            • Research and apply continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights
                                                                            • +
                                                                            • Establish reporting dashboards using visualization techniques that help users quickly identify key trends and business metrics that are actionable and relevant to them
                                                                            • +
                                                                            • Develop tools and training programs for “self-serve analytics”; may include delivery of training to audiences
                                                                            -

                                                                            Nice to Have

                                                                            +

                                                                            +

                                                                            Data Governance

                                                                            +
                                                                            • Document data flow, systems, and processes to improve the design, implementation, and management of business/group processes
                                                                            +

                                                                            +

                                                                            Technology & Tools

                                                                              -
                                                                            • PhD or master’s degree in Statistics, Mathematics, or Computer Science.
                                                                            • -
                                                                            • Knowledge of machine learning algorithms and their implementation.
                                                                            • -
                                                                            • Experience with Business Intelligence and Data Warehouse overall design.
                                                                            • -
                                                                            • Experience working in a financial institution
                                                                            • +
                                                                            • Evaluate and implement digital tools that enhance data insight capabilities
                                                                            • +
                                                                            • Stay up to date with the latest BI and analytics technologies and tools
                                                                            -

                                                                            Job Skills

                                                                            -

                                                                            Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Problem Solving, Quality Management, Requirements Analysis

                                                                            -

                                                                            Additional Job Details

                                                                            -

                                                                            Address:

                                                                            -

                                                                            180 WELLINGTON ST W:TORONTO

                                                                            -

                                                                            City:

                                                                            -

                                                                            TORONTO

                                                                            -

                                                                            Country:

                                                                            -

                                                                            Canada

                                                                            -

                                                                            Work hours/week:

                                                                            -

                                                                            37.5

                                                                            -

                                                                            Employment Type:

                                                                            -

                                                                            Full time

                                                                            -

                                                                            Platform:

                                                                            -

                                                                            Wealth Management

                                                                            -

                                                                            Job Type:

                                                                            -

                                                                            Regular

                                                                            -

                                                                            Pay Type:

                                                                            -

                                                                            Salaried

                                                                            -

                                                                            Posted Date:

                                                                            -

                                                                            2024-01-15

                                                                            -

                                                                            Application Deadline:

                                                                            -

                                                                            2024-01-27

                                                                            -

                                                                            Inclusion and Equal Opportunity Employment

                                                                            -

                                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                            ​​​​​​​
                                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                            -

                                                                            Join our Talent Community

                                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000076286/Sr-Data-Engineer,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-01-29T18:59:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/302188756-sr-data-engineer-at-rbc,,expired,2024-01-23T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -0baba59a-3fbe-41c9-8347-1ed9542d1a0e,302188946,RBC,2024 Summer Student - Data/ML Engineering Intern (12 months),on_site,"Toronto, ON, Canada",2024-01-23T18:51:31.138Z,"

                                                                            Job Summary

                                                                            -

                                                                            Participates in and supports the operational activities of a business unit. Applies experience and complete working knowledge of the job and policies/practices to perform a combination of routine tasks and varied administrative/operational assignments.

                                                                            -

                                                                            Job Description

                                                                            -

                                                                            Please note: This posting is for a 12-16 month Student Summer 2024 placement with a start date of May 2024 and end-date of April/August 2025. In order to be eligible for this 12-16 month Student position, you must either:

                                                                            +

                                                                            +

                                                                            Stakeholder Collaboration

                                                                              -
                                                                            • Be returning back to school after the work term end-date of April/August 2025; or
                                                                            • -
                                                                            • If you are not returning back to school (i.e. are graduating in April/August 2024), but you require the work term as a mandatory component to in order to graduate successfully (i.e. PEY program).
                                                                            • +
                                                                            • Partner with Marketing, Digital, and Distribution teams to create personalized client experiences by leveraging data to understand individual preferences, behaviors, and needs. Uncover insights that will allow us to create personalized product recommendations, tailored marketing messages, and customized digital experiences
                                                                            • +
                                                                            • Foster strong internal and external networks and work with and across multiple teams to achieve business objectives
                                                                            • +
                                                                            • Collaborate with cross-functional teams to understand their data needs and provide tailored solutions
                                                                            • +
                                                                            • Present insights and recommendations to senior leadership and other key stakeholders
                                                                            -

                                                                            Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

                                                                            -

                                                                            Job Description Summary

                                                                            -

                                                                            The Next Best Action team here at RBC, which is part of the Personal and Commercial Banking organization, is responsible for running day-to-day marketing campaigns and marketing experiments for our banking clients. Our Data Innovation team is the responsible for maintaining the ecosystem that runs daily that drives our NBO or “Next Best Offer” initiative. Our ecosystem is a mix of big data pipelines, machine learning models, full stack (front-end and back-end) applications and microservices. We are looking for an intern to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank to evolve our Next Best Offer ecosystem into Next Best Action ecosystem. In addition, we believe this is an awesome opportunity to learn about a different production system within the marketing sector, a unique blend of a start-up within a large organization, as well as an opportunity to learn and flex into different areas of the ecosystems or additional projects of interest.

                                                                            -

                                                                            Job Description

                                                                            -

                                                                            • Evolve the existing machine learning system to be make machine learning processes scale to be quicker, more reliable and if applicable autonomous or semi-autonomous

                                                                            -

                                                                            • Manage, optimize, oversee and monitor data & model pipelines as well as the UI used to inform client decisions related to Next Best Offer/Action recommendations

                                                                            -

                                                                            • You will play an integral role in engaging your critical thinking, time management and design skills within your team

                                                                            -

                                                                            Must haves:

                                                                            -

                                                                            • Experience with a programming language like Java, Python, C++, Scala or equivalent

                                                                            -

                                                                            • Knowledge of SQL and relational databases like MySQL, Postgres, SQL server or equivalent

                                                                            -

                                                                            • Basic understanding of machine learning models and its applications

                                                                            -

                                                                            • Basic experience with HTML, CSS, a front-end framework like Angular; React or equivalent

                                                                            -

                                                                            • Experience simplifying and automating work and making things better for clients

                                                                            -

                                                                            • A curiosity and passion for continuous learning and helping others

                                                                            -

                                                                            • Understanding of software engineering practices and designing solutions with the user's experience in mind

                                                                            -

                                                                            • Able to create test execution plans and to ensure code delivered is working as expected

                                                                            -

                                                                            • Excellent teamwork and collaboration skills

                                                                            -

                                                                            Nice to haves:

                                                                            -

                                                                            • Knowledge of public cloud (Azure, AWS, GCP, OpenShift or equivalent) platforms and development of applications in multi-cloud, hybrid environments is preferred

                                                                            -

                                                                            • Experience with big data processes (Spark) including batch processing and/or real-time streaming technologies is preferred

                                                                            -

                                                                            • Experience with other database technologies (noSQL, graph databases etc) is an asset

                                                                            -

                                                                            • Experience with continuous integration and development tools is an asset

                                                                            -

                                                                            • Background in development in mobile or web development is an asset Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is an asset

                                                                            -

                                                                            What’s in it for you?

                                                                            -

                                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual.

                                                                            +

                                                                            +

                                                                            QUALIFICATIONS

                                                                              -
                                                                            • Opportunity to be a valued member of a critical team.
                                                                            • -
                                                                            • Exposure to stakeholders across multiple businesses.
                                                                            • -
                                                                            • Interesting, complex work that makes a difference in people’s lives.
                                                                            • -
                                                                            • A collaborative culture that recognizes innovative business ideas.
                                                                            • -
                                                                            • Access to various programs, resources, and technology.
                                                                            • +
                                                                            • Proven experience building & leading a Data Science function
                                                                            • +
                                                                            • Strong understanding of the Asset Management business would be an asset
                                                                            • +
                                                                            • Typically, 9+ years of direct experience in this field or 15+ years of relevant experience and post-secondary degree (MMA, PhD, Master’s Engineering or Computer Science) or an equivalent combination of education and experience
                                                                            • +
                                                                            • Seasoned expert with extensive industry knowledge
                                                                            • +
                                                                            • Technical leader viewed as a thought leader for innovation
                                                                            • +
                                                                            • Expert level of proficiency in all aspects of advanced data & analytics tools and capabilities
                                                                            -

                                                                            Job Skills

                                                                            -

                                                                            Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Taking Initiative

                                                                            -

                                                                            Additional Job Details

                                                                            -

                                                                            Address:

                                                                            -

                                                                            RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                            -

                                                                            City:

                                                                            -

                                                                            TORONTO

                                                                            -

                                                                            Country:

                                                                            -

                                                                            Canada

                                                                            -

                                                                            Work hours/week:

                                                                            -

                                                                            37.5

                                                                            -

                                                                            Employment Type:

                                                                            -

                                                                            Full time

                                                                            -

                                                                            Platform:

                                                                            -

                                                                            Personal and Commercial Banking

                                                                            -

                                                                            Job Type:

                                                                            -

                                                                            Student/Coop (Fixed Term)

                                                                            -

                                                                            Pay Type:

                                                                            -

                                                                            Salaried

                                                                            -

                                                                            Posted Date:

                                                                            -

                                                                            2024-01-18

                                                                            -

                                                                            Application Deadline:

                                                                            -

                                                                            2024-01-28

                                                                            -

                                                                            Inclusion and Equal Opportunity Employment

                                                                            -

                                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                            ​​​​​​​
                                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                            -

                                                                            Join our Talent Community

                                                                            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                            ",,https://jobs.rbc.com/ca/en/job/R-0000076666/2024-Summer-Student-Data-ML-Engineering-Intern-12-months,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-01-29T18:59:00.000Z,False,0,11,79,https://talenthub.vectorinstitute.ai/jobs/302188946-2024-summer-student-data-ml-engineering-intern-12-months-at-rbc,,expired,2024-01-23T18:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -d5d19ba7-05af-4026-bc64-9489fd66a15f,295867488,Scotiabank,Velocity - Global Risk Management Internship/Co-op - Summer 2024 (graduating prior to Summer 2025),on_site,Canada : Ontario : Toronto,2023-12-18T16:26:02.164Z,"

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            We’re here to help

                                                                            +

                                                                            +

                                                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                            +

                                                                            +

                                                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                            +

                                                                            +

                                                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                            +

                                                                            +

                                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                            +

                                                                            +

                                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                            +
                                                                            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--Business-Intelligence---Insights_R230016636?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-10T17:05:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/274553907-head-business-intelligence-insights-at-bmo-financial-group,,expired,2023-09-28T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +f5468616-d3d1-4271-801e-9f7e95b75b26,274636991,Scotiabank,"Manager, Digital Analytics - Tangerine",on_site,Canada : Ontario : Toronto,2023-09-28T16:24:03.100Z,"

                                                                            -

                                                                            Requisition ID: 189984

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            +

                                                                            Requisition ID: 185783

                                                                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                            -

                                                                            Velocity – Global Risk Management Internship/Co-Op – Summer 2024 (for students graduating prior to Summer 2025)

                                                                            -

                                                                            Term: May-August 2024

                                                                            -

                                                                            Application Deadline: 01/26/2024

                                                                            +

                                                                            Purpose:

                                                                            +

                                                                            Join the fast based team environment at Scotiabank as a Manager, Digital Analytics. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty.

                                                                            -

                                                                            There's no better way to kickstart your career than to do a co-op or internship followed by a new graduate program with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). Once you have completed your Velocity co-op term with strong performance, we would like to invite you back after graduation to join the Activate New Graduate Development Program where you will be able to further grow your career within Global Risk Management!

                                                                            +

                                                                            The successful candidate will create and tell comprehensive stories about how users behave using data. You’ll deliver analytics projects of moderate complexity, partnering with other analysts and cross-functional teams along the way. Through ongoing analysis, you will gain actionable insights that better address the business goals of our internal stakeholders.

                                                                            -

                                                                            -
                                                                            • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. You’ll be part of a diverse, collaborative, innovative, and high-performing team. You will receive in-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed! As a Velocity student you have access to exclusive events such as Velocity Day, Community Day, Lunch & Learns, leadership panels, and much more!
                                                                            • -
                                                                            -

                                                                            -
                                                                            • The Activate New Graduate Development Program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. As an Associate in the Activate, GRM stream you will spend 12-months rotating to pre-determined areas that will challenge you. You’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.
                                                                            • -
                                                                            -

                                                                            -

                                                                            What is Global Risk Management?

                                                                            -

                                                                            -

                                                                            Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to an interest in capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                                                                            -

                                                                            -

                                                                            About the GRM, Business Banking Credit Risk Stream:

                                                                            -

                                                                            The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                                                                            -

                                                                            -

                                                                            About the GRM, Enterprise Risk Stream:

                                                                            -

                                                                            GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                                                                            -

                                                                            -

                                                                            About the GRM, Market Risk Stream:

                                                                            -

                                                                            The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                                                                            -

                                                                            -

                                                                            About the GRM, Retail Credit Risk Stream:

                                                                            -

                                                                            The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                                                                            -

                                                                            -

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            -
                                                                            • You are working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Risk Management, Finance, Economics or related discipline with an expected graduation date prior to June 2025.
                                                                            • You are passionate about launching your career in Risk Management through the Activate Program after graduation.
                                                                            • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices.
                                                                            • Knowledge of Python, SQL, VBA, MS Office.
                                                                            • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner.
                                                                            • Attention to detail with a strong ability to multi-task while maintaining a high work standard.
                                                                            • Demonstrated flexibility in adapting to constantly changing environments.
                                                                            • -
                                                                            -

                                                                            -

                                                                            -

                                                                            What’s in it for you?

                                                                            -
                                                                            • The opportunity to be an early applicant to our Activate New Graduate program within the Global Risk Management stream, and receive an offer before your Summer 2024 internship is even over (receiving an offer would be based on your internship/co-op evaluation)
                                                                            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                            • -
                                                                            -

                                                                            -

                                                                            -

                                                                            -

                                                                            How do I apply?

                                                                            -

                                                                            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                            -

                                                                            -
                                                                            1. Complete your PLUM Profile here and save as a screenshot.
                                                                            2. Complete a short one-way video interview here.
                                                                            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                            4. -

                                                                            -

                                                                            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                            +

                                                                            Candidate Value Proposition
                                                                            • The successful candidate will have the opportunity to collaborate with analytics, marketing and digital banking squads to help optimize the efficiency and effectiveness of digital marketing campaigns, digital banking experience, and product strategy.

                                                                            -

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Summer-2024-%28graduating-prior-to-Summer-2025%29-ON/576594417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,4,72,https://talenthub.vectorinstitute.ai/jobs/295867488-velocity-global-risk-management-internship-co-op-summer-2024-graduating-prior-to-summer-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Summer-2024-%28graduating-prior-to-Summer-2025%29-ON/576594417/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -63cf2fbf-97db-445a-9a12-6e771db74252,298833080,TD Bank Group,Canadian Personal Banking (CPB) Model&Tools Governance Analyst Intern,on_site,"Toronto, ON",2024-01-04T16:28:14.737Z,"
                                                                            -

                                                                            Campus Role Type

                                                                            -
                                                                            Internship/Co-Op and Summer Opportunities
                                                                            +

                                                                            +

                                                                            Job Responsibilities:

                                                                            +

                                                                            • Develop Looker Studio dashboard in scrum setting to iteratively translate business requirement in visualization and insights
                                                                            • Work with senior stakeholder to perform on-demand product/digital analytics request
                                                                            • Prepare detailed documentation to outline data sources, analysis, and algorithms used and developed
                                                                            • Present results to business line stakeholders and help implement real world data-driven changes
                                                                            • Analyze and interpret clickstream data, providing insights to inform digital banking experience optimization and campaign strategies.
                                                                            • Work with technical analytics resources to ensure tracking code is consistently applied and managed
                                                                            • Be flexible and thrive in an evolving environment
                                                                            • Adapt to change quickly and adjust work accordingly in a positive manner

                                                                            +

                                                                            +

                                                                            +

                                                                            Key Accountabilities:

                                                                            +

                                                                            • Proactively initiate, research, and perform data analysis and provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                                                                            • Identify patterns and trends in marketing results and online activity and report on findings
                                                                            • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement and improve the effectiveness of marketing campaigns
                                                                            • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                                                                            • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                                                                            • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                                                                            • Identify bugs and erroneous analytics tags and provide solutions to development team
                                                                            • Work with Digital Channels to advise on our continually evolving digital strategy
                                                                            • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms

                                                                            +

                                                                            +

                                                                            +

                                                                            Skills and Experience:
                                                                            • 3+ years of proven working experience as a Digital Analyst, Digital Marketing Analyst, or similar role
                                                                            • 3+ years of experience with data segmentation and reporting within Google Analytics and/or Adobe Analytics as well as experience with Google Tag Manager including setting up and configuring accounts for new websites and goals
                                                                            • Working knowledge of GA4
                                                                            • Proficient in building dashboards leveraging and blending data from multiple data sources, as well as extracting data from data environments such as BigQuery
                                                                            • 2+ years of working experience with SQL and relational databases technologies/concepts for both
                                                                            • Experience with Looker Studio and/or Power BI

                                                                            +

                                                                            +

                                                                            Nice-To-Have Skills:
                                                                            • Expertise in Google Analytics implementation using Google Tag Manager
                                                                            • 2+ years of experience programming in Python or Spark
                                                                            • 2+ years of experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, and fraud/anomaly detection)
                                                                            • Experience working with digital advertising platforms (Facebook Business Manager, Google Ads, DoubleClick Manager, AppNexus) and search engine optimization is an asset

                                                                            +

                                                                            +

                                                                            +

                                                                            Degrees or Certifications:
                                                                            Bachelor’s Degree or equivalent in in STEM, or relevant field

                                                                            +

                                                                            +

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-12T16:29:03.949Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/274636991-manager-digital-analytics-tangerine-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,expired,2023-09-28T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7ab9a799-3be3-4f3c-9ca7-c9b6ce6ed4b4,278201165,Sun Life Financial,"AVP, Data Science and Analytics",on_site,"Ontario, Canada",2023-10-09T12:28:04.487Z,"
                                                                            +

                                                                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                            -

                                                                            Start Date

                                                                            -
                                                                            Summer

                                                                            -

                                                                            Department Overview

                                                                            -
                                                                            -

                                                                            Business Description – ‘What we do’

                                                                            +

                                                                            Job Description:

                                                                            +

                                                                            Sun Life Health is a leading Health and Benefits providers in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives. We have an opportunity to use data to empower Canadians to take control of their health by personalizing health journeys, predicting health outcomes and preventing disease progression, and generating insights and research in partnership with the Canadian health ecosystem.

                                                                            +

                                                                            +

                                                                            Reporting to the Vice President Strategy, Partnerships, and Analytics, the AVP Data Science & Analytics will be responsible for developing and executing our data analytics strategy to enable Sun Life Health in achieving sustainable competitive advantage and growth, and improving the health outcomes of our clients. The successful candidate will work in a fast-paced, dynamic, and fun environment with a focus on further maturing our data and data science capabilities, and developing and implementing our analytics strategy and initiatives.

                                                                            +

                                                                            +
                                                                            What will you do:

                                                                              -
                                                                            • Foster a strong, robust, reliable, and sustainable Governance & Control environment for models and tools, while supporting and enabling business growth within TD’s risk appetite and regulatory expectations.
                                                                            • -
                                                                            • Foster an effective and transparent culture of model and tools risk awareness as well as evaluate business strategy and activities against risk appetite.
                                                                            • -
                                                                            • Support the Business in the identification, assessment, mitigation and overall management of current and emerging model and tools risks in business processes, operations, and initiatives to comply with regulatory and policy requirements.
                                                                            • -
                                                                            • Collaborate with the Business to maintain processes to identify, track and resolve model and tools related issues expediently and effectively. Identify and report trends/areas of increasing model and tools risk and support decision-making/mitigation.
                                                                            • -
                                                                            • Support model and tools related exams, reviews, and findings with second and third lines of defense risk and control partners as well as external parties. Identify trends/areas of increasing model and tools risk and support decision-making/mitigation.
                                                                            • -
                                                                            • Establish and maintain Models & Tools Governance Framework and oversee lifecycle activities –conceptualization, development, validation, implementation, ongoing maintenance, and performance monitoring, retirement
                                                                            • -
                                                                            • Develop and maintain a complete and accurate Inventory Lists for CPB Models & Tools
                                                                            • -
                                                                            • Define and maintain appropriate guidelines to ensure that CPB is compliant with Enterprise policies and standards relating to models and tools
                                                                            • -
                                                                            • Provide models and tools governance subject matter expertise to business to support their risk
                                                                            • -
                                                                            • management practices
                                                                            • -
                                                                            • Streamline CPB models and tools processes, driving efficiency and consistency in processes/approaches and technology/tools, where possible. Be continuous improvement minded, seeking/pursuing new ways of working, where appropriate.
                                                                            • -
                                                                            • Provide trusted and reliable model and tool reporting to senior leadership and risk and control partners on the state of risks, controls and outcomes..
                                                                            • +
                                                                            • +Data Science and Analytics strategy development and execution
                                                                                +
                                                                              • Develop and maintain analytics strategy that drives growth for Sun Life Health and improvements in Client health outcomes
                                                                              • +
                                                                              • Evaluate and prioritize across opportunities to predict and prevent health outcomes, personalize the client health experience, generate value-adding research, and commercializing insights
                                                                              • +
                                                                              • Partner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategy
                                                                              • +
                                                                              • Execute the analytics strategy, collaborating within Sun Life health and across functional groups as needed
                                                                              -

                                                                              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                              -

                                                                              Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                              -
                                                                                -
                                                                              • Leadership talks with key Leaders from across the organization
                                                                              • -
                                                                              • Lunch and Learns on topics such as Innovation
                                                                              • -
                                                                              • Diversity and Inclusion and Personal Branding and so much more
                                                                              • + +
                                                                              • +Data foundation transformation
                                                                                  +
                                                                                • Mature data foundations to support data science and analytics strategy, including further enabling personalization of Sun Life Health products
                                                                                • +
                                                                                • Collaborate with Enterprise Data & Analytics, Data Architecture, and Technology teams to design and implement necessary data architecture and engineering
                                                                                -
                                                                            -

                                                                            -

                                                                            Job Details

                                                                            -
                                                                            -

                                                                            What are the Intern responsibilities?
                                                                            The intern would work closely with the manager and Senior Manager, CPB Models & Tools Governance to support the following:

                                                                            -
                                                                              -
                                                                            • Execute activities required to ensure completeness of CPB Model and Tools Inventory
                                                                            • -
                                                                            • Review data populated in the Tools Inventory to ensure consistency across all Business
                                                                            • + +
                                                                            • +Data science and advanced analytics
                                                                                +
                                                                              • Apply relevant data science and analytics methodologies (including AI & ML) to deliver on our strategy
                                                                              • +
                                                                              • Lead execution of use cases and manage delivery both within the Data Science and Analytics teams, and collaborating with other Sun Life Canada businesses and functions as needed
                                                                              • +
                                                                              • Operationalize analytical models in the field by addressing technology, process and change management requirements
                                                                              • +
                                                                              • Collaborate with data analytics partners in Canada and Technology to leverage common capabilities, tools and assets
                                                                              -
                                                                              • Develop templates required to maintain compliance to End User Computing (EUC) Standard and other enterprise standards and guidelines
                                                                              -
                                                                                -
                                                                              • Identify opportunities to create efficiency around the management of our Tools Inventory
                                                                              • -
                                                                              • Identify appropriate data points to support a complete and accurate inventory of models and tools
                                                                              • -
                                                                              • Identify and complete missing information relating to CPB Inventory of models and tools
                                                                              • -
                                                                              • Perform Data analysis to support reporting on M&T
                                                                              • -
                                                                              • Execute any other activities that maybe assigned to support the overall function relating to Models and Tools governance
                                                                              • -
                                                                              • Review and understand the Enterprise governance policies, guidelines etc. that relate to Tools and provide input for opportunities to enhance CPB compliance to those policies, guidelines
                                                                              • + +
                                                                              • +Thought leadership and health research
                                                                                  +
                                                                                • Develop relevant and value-adding health insights and research for internal and external audiences
                                                                                • +
                                                                                • Develop and maintain relevant relationships within the Canadian health ecosystem and academic communities, and represent Sun Life Health as a thought leader
                                                                                • +
                                                                                • Proactively foster relationships within Sun Life with business and functional partners to maintain an understanding of new developments in their areas
                                                                                -
                                                                            -

                                                                            -

                                                                            Job Requirements

                                                                            -
                                                                            -
                                                                            • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                                                                            + +
                                                                          • +Business Intelligence
                                                                              +
                                                                            • Coordinate development and delivery of timely and insightful reporting for Sun Life Health products (including Lumino Health Pharmacy and Lumino Provider Search)
                                                                            • +
                                                                            • Provide day-to-day data and analytics support for Sun Life Health products
                                                                            • +
                                                                            • Support product and strategy development with ad hoc business and strategic insights
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Compliance and knowledge management
                                                                              +
                                                                            • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
                                                                            • +
                                                                            • Maintain documentation of existing data processes and models
                                                                            • +
                                                                            • Ensure knowledge is cross pollinated across the team to minimize key personnel knowledge risk
                                                                            • +
                                                                            • Maintain understanding of relevant regulatory frameworks and privacy policies, and ensure compliance within data management and analytical processes
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Talent development and capability building
                                                                              +
                                                                            • Lead and coach a diverse reporting team through proactive career development and continuous feedback
                                                                            • +
                                                                            • Actively promote Sun Life brand and community image to attract talent
                                                                            • +
                                                                            • Continue to build and mature capabilities to deliver on Data Science and Analytics strategy
                                                                            • +
                                                                            • Ensure ongoing compliance with all applicable regulatory and policy requirements
                                                                            • +
                                                                            +
                                                                          • +
                                                                          +

                                                                          What do you need to succeed:

                                                                            -
                                                                          • Business and financial acumen
                                                                          • -
                                                                          • Analytical skills
                                                                          • -
                                                                          • Superior communication and presentation skills
                                                                          • -
                                                                          • Comfort with working in a culture of change and navigating a matrix environment
                                                                          • -
                                                                          • Collaborate and negotiate solutions with a variety of stakeholders
                                                                          • -
                                                                          • Flexibility to adapt and manage within a fast-paced, dynamic business environment
                                                                          • -
                                                                          • Ability to learn and apply business knowledge to execute different activities related to the role
                                                                          • -
                                                                          • Experience analyzing large amount of data and information to support conclusions
                                                                          • -
                                                                          • Risk and control mindset
                                                                          • -
                                                                          • Self-driven
                                                                          • -
                                                                          • Great organization skill
                                                                          • +
                                                                          • Minimum of 10 years relevant business, data, and/or analytics experience, ideally within the health, pharmacy, disease management, or benefits industries
                                                                          • +
                                                                          • Experience leading data science and analytics functions to deliver value in a business context
                                                                          • +
                                                                          • Strong technical understanding of relevant data science and analytics concepts (e.g., predictive analytics, machine learning, AI), business intelligence, and relevant technology and tools
                                                                          • +
                                                                          • Experience in leading high performing teams and professional knowledge workers
                                                                          • +
                                                                          • Experience working with health, pharmacy, or benefits data an asset
                                                                          • +
                                                                          • University degree in business, engineering, computer science or related discipline
                                                                          -

                                                                          -

                                                                          Additional Information

                                                                          -
                                                                            -
                                                                          • This position is a 4-month work term and will commence May 6th to August 30th, 2024.
                                                                          • -
                                                                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                          • -
                                                                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                          • -
                                                                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                          • -
                                                                          • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                          • -
                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          Company Overview

                                                                          -
                                                                          -Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          -

                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          -

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          -

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -
                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          Inclusiveness

                                                                          -
                                                                          -Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          -

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          -

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          -

                                                                          We look forward to hearing from you!

                                                                          -
                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -
                                                                          ",,https://jobs.td.com/en-CA/jobs/19653375/canadian-personal-banking-cpb-model-tools-governance-analyst-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-29T18:56:00.000Z,False,0,5,71,https://talenthub.vectorinstitute.ai/jobs/298833080-canadian-personal-banking-cpb-model-tools-governance-analyst-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19653375/canadian-personal-banking-cpb-model-tools-governance-analyst-intern-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -c5d1e055-6072-40d0-a871-db7911b67a4f,296397621,BMO Financial Group,Senior Analyst - Counterparty Credit Risk,on_site,"Ontario, Canada",2023-12-21T06:25:02.552Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          02/28/2024

                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          +

                                                                          Salary Range:

                                                                          140,000/140 000 - 230,000/230 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          15/10/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Data-Science-and-Analytics_JR00085881?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-12T19:11:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/278201165-avp-data-science-and-analytics-at-sun-life-financial,,expired,2023-10-09T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, +469a4835-2e09-450b-ad0f-f1a46bd0b9ad,285099613,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-11-02T12:19:01.550Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          11/06/2023

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                                                                          +

                                                                          +

                                                                          The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +
                                                                            +
                                                                          • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
                                                                          • +
                                                                          • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
                                                                          • +
                                                                          • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
                                                                          • +
                                                                          • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
                                                                          • +
                                                                          • Communicate with model validation to ensure successful validation of the developed methodologies.
                                                                          • +
                                                                          • Monitors and tracks developed and future model performance, and address any potential issues
                                                                          • +
                                                                          • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
                                                                          • +
                                                                          • Help with routine processes such as stress testing model runs and annual model reviews.
                                                                          • +
                                                                          • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
                                                                          • +
                                                                          +

                                                                          Qualifications

                                                                          +
                                                                            +
                                                                          • Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
                                                                          • +
                                                                          • 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
                                                                          • +
                                                                          • Strong data analysis skills, and able to deal with large data sets to extract relevant information.
                                                                          • +
                                                                          • Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
                                                                          • +
                                                                          • Proficiency with statistical/econometric modeling techniques
                                                                          • +
                                                                          • Experience with Machine Learning and Artificial Intelligence techniques is preferred
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                          +
                                                                            +
                                                                          • Acts as a trusted advisor to assigned business/group.
                                                                          • +
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • +
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • +
                                                                          • Assists in the development of strategic plans.
                                                                          • +
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • +
                                                                          • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                          • +
                                                                          • Supports data collection, integration, and retention requirements for data.
                                                                          • +
                                                                          • Develops experimental design approaches to validate findings or test hypotheses.
                                                                          • +
                                                                          • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                                                                          • +
                                                                          • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                          • +
                                                                          • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                          • +
                                                                          • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                          • +
                                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                          • +
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                          • +
                                                                          • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                          • +
                                                                          • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                          • +
                                                                          • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                          • +
                                                                          • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                          • +
                                                                          • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                          • +
                                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                          • +
                                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                                          • +
                                                                          • Uses the appropriate algorithms to discover patterns.
                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                          • +
                                                                          • Supports development of tools and delivers training for data analytics and AI.
                                                                          • +
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • +
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            +
                                                                          • +
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                                                                          • +
                                                                          • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                          • +
                                                                          • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                          • +
                                                                          • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                                                                          • +
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • +
                                                                          • Collaboration & team skills - In-depth.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • +
                                                                          • Influence skills - In-depth.
                                                                          • +
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-09T12:24:01.621Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/285099613-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-11-02T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +9e80e069-9d4f-49ce-a0bc-845c2c1fa35b,279199784,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-10-12T16:25:04.492Z,"
                                                                          +

                                                                          Hours

                                                                          +
                                                                          37.5
                                                                          +

                                                                          +

                                                                          Workplace Model

                                                                          +
                                                                          Hybrid
                                                                          +

                                                                          +

                                                                          Pay Details

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                          +

                                                                          +

                                                                          Department Overview

                                                                          +
                                                                          +*Please note that we are hiring for multiple Senior Business Intelligence & Reporting Analyst (L09s) and Business Intelligence Specialist (L10s)*
                                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                          +

                                                                          The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                          +

                                                                          This is the team building the dashboards, scorecards and business intelligent insights that deliver and process vital data to business partners across the enterprise.

                                                                          +

                                                                          Joining us in Business Intelligence is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                          +
                                                                          +

                                                                          +

                                                                          Job Details

                                                                          +
                                                                            +
                                                                          • Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction.
                                                                          • +
                                                                          • Develop and maintain specialized Business Intelligence (BI) packages, dashboards and scorecards on the MS Azure Cloud Platform
                                                                          • +
                                                                          • Manage the repository of all reporting assets including and not limited to data analysis, development scripts, objects and documentation.
                                                                          • +
                                                                          • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources
                                                                          • +
                                                                          • Lead the discussion with business partners to understand business objectives and develop valuable reporting for enablement and fact based decisioning
                                                                          • +
                                                                          • Validate the quality and integrity of the data included in all artifacts
                                                                          • +
                                                                          • Develop substantial and insightful commentary/insights on new and existing BI packages
                                                                          • +
                                                                          • Work independently as the senior analyst / expert and may provide technical support to others
                                                                          • +
                                                                          • Lead the implementation of initiatives in support of overall business/function strategy
                                                                          • +
                                                                          • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                                          • +
                                                                          • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                                          • +
                                                                          +

                                                                          +

                                                                          Job Requirements

                                                                          +
                                                                          +
                                                                            +
                                                                          • Experience in business or financial reporting/business insights and analysis development, is knowledgeable and savvy with new technology and tools preferably within the global financial services and back-office operations
                                                                          • +
                                                                          • Hands-on experience in using business intelligence, analytics and/or data visualization tools (ex: Tableau)
                                                                          • +
                                                                          • Experience with Python, Databricks and SQL
                                                                          • +
                                                                          • Experience with Microsoft Azure is desired
                                                                          • +
                                                                          • Strong team player who fosters and thrives in an environment of peer development and sharing
                                                                          • +
                                                                          • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo
                                                                          • +
                                                                          • Enthusiastic and focused self-starter who can work with minimal supervision to strict deadlines and is able to prioritize, multitask, and manage various projects simultaneously
                                                                          • +
                                                                          • Excellent verbal and written communication skills with the ability to work with various level of management and senior management to convey findings concisely through presentations and business commentaries
                                                                          • +
                                                                          • Strong ownership mentality, proactive attitude, and ability to get things done
                                                                          • +
                                                                          • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative BI solutions
                                                                          • +
                                                                          • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                                                          • +
                                                                          • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                                                          • +
                                                                          • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                                                          • +
                                                                          • Excellent interpersonal skills with the ability to proactively influence and support product decisions through analytical counsel
                                                                          • +
                                                                          • Ability to manage and supervise a team of BI analysts to provide strategic direction.
                                                                          • +
                                                                          +

                                                                          Educational Requirements/Accreditations:

                                                                          +
                                                                            +
                                                                          • Undergraduate degree or above preferably in an analytically based discipline
                                                                          • +
                                                                          • 3-5 years of relevant experience
                                                                          • +
                                                                          +
                                                                          +

                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +
                                                                          +

                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          +
                                                                          +

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-11T17:58:14.786Z,False,0,6,96,https://talenthub.vectorinstitute.ai/jobs/279199784-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-10-12T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f78bdfeb-6899-4e9d-850b-b8df1f3abcfd,284411050,BMO Financial Group,Sr Data Engineer,on_site,"Ontario, Canada",2023-10-30T12:19:03.257Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          11/12/2023

                                                                          -

                                                                          Address:

                                                                          250 Yonge Street

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          Project:

                                                                          -
                                                                          • -Enhance Counterparty Credit Risk System to align with new business initiatives & regulations
                                                                          -

                                                                          Responsibilities:

                                                                          -
                                                                            -
                                                                          • Lead new initiative end-to-end: Requirements elicitation in partnership with stakeholders (front office, credit and market risk); Solution design in consultation with technology partners (in-house and vendor); translate business requirements into development tasks, and ensure alignment of priorities; develop test strategy and test plan and perform User Acceptance test to ensure business and analytic requirements are correctly implemented
                                                                          • -
                                                                          • Participate in the implementation process to ensure proper and timely implementation of system enhancements
                                                                          • -
                                                                          • Provide post-implementation support: Investigate issues and respond to adhoc reporting requests as required
                                                                          • -
                                                                          • Assist in the documentation of procedures, control processes, and policies relevant to internal controls.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Must Have Skills:

                                                                          -
                                                                            -
                                                                          • MBA or Masters in Finance or similar; Bachelors in a technical field (Engineering, Computer Science, Mathematics, Statistics) coupled with CFA/FRM will be considered
                                                                          • -
                                                                          • Minimum of 2 years of BA experience within Capital Markets
                                                                          • -
                                                                          • Hands on experience in manual testing (test case design to ensure coverage and execution)
                                                                          • -
                                                                          • Excellent oral and written Communication Skills as they need to interact with all levels in the management hierarchy (developer, Project Manager, VP, Director)
                                                                          • -
                                                                          • Strong proficiency with Excel (used in manual testing and for daily reporting)
                                                                          • -
                                                                          • Self starter, Proven experience working on large projects independently
                                                                          • -
                                                                          • Knowledge of scripting and automation (Excel VBA, Python, Perl, C#)
                                                                          • -
                                                                          -

                                                                          -

                                                                          Nice to Have Skills

                                                                          -
                                                                            -
                                                                          • Broad understanding and experience with risk management methodologies, preferably in Counterparty Credit Risk
                                                                          • -
                                                                          • Knowledge of Security Financing Products like Repos
                                                                          • -

                                                                          -

                                                                          Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                          -
                                                                            -
                                                                          • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                          • -
                                                                          • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                          • -
                                                                          • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                          • -
                                                                          • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                          • -
                                                                          • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • -
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • -
                                                                          • Conducts quantitative research in risks across strategies and portfolios.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently on a range of complex tasks, which may include unique situations.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            -

                                                                            Foundational level of proficiency:

                                                                            -
                                                                          • -
                                                                          • Regulatory capital and stress testing.
                                                                          • -
                                                                          • Compliance and regulation.
                                                                          • -
                                                                          • Machine learning.
                                                                          • -
                                                                          • Learning Agility.
                                                                          • -
                                                                          • Systems Thinking.
                                                                          • -
                                                                          • Model risk management.
                                                                          • -
                                                                          • Data visualization.
                                                                          • -
                                                                          • Data wrangling.
                                                                          • -
                                                                          • Data preprocessing.
                                                                          • -
                                                                          • Critical thinking.
                                                                          • -
                                                                          • Driving Results.

                                                                            Intermediate level of proficiency:

                                                                            -
                                                                          • -
                                                                          • Quantitative financial modeling.
                                                                          • -
                                                                          • Computational thinking and programming.
                                                                          • -
                                                                          • Verbal & written communication skills.
                                                                          • -
                                                                          • Collaboration & team skills.
                                                                          • -
                                                                          • Analytical and problem solving skills.
                                                                          • -
                                                                          • Data driven decision making.
                                                                          • -
                                                                          • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Technical proficiency gained through education and/or business experience.
                                                                          • -
                                                                          +

                                                                          Responsibilities:

                                                                          +

                                                                          Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
                                                                          Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                          Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
                                                                          Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
                                                                          Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
                                                                          Develops innovative approaches to address complex business problems and solutions, assisting with business cases
                                                                          Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
                                                                          Expert knowledge of Python, SAS, SQL and R are essential
                                                                          Extensive work experience building predictive models with machine learning methods
                                                                          Ability to apply statistical techniques and data mining tools to solve business problem
                                                                          Significant experience building UI mockups and optimizing dashboard for user experience
                                                                          Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
                                                                          Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
                                                                          Hands-on experience of SQL and Python for data access and basic transformation
                                                                          Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
                                                                          Experience in query optimization, debugging and automation
                                                                          Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
                                                                          Familiarity with an agile development process

                                                                          +


                                                                          Preferred Qualification

                                                                          +

                                                                          7+ years of experience in data analytics environments
                                                                          Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
                                                                          Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
                                                                          Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
                                                                          Experience with data modeling, warehousing and building ETL pipelines
                                                                          Experience with AWS solutions - Azure data platform, experience with Azure functions and services
                                                                          Ability to test, identify and troubleshoot report and dataset issues
                                                                          General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
                                                                          ITSM + Asset/CMDB knowledge is an asset
                                                                          Dynatrace, Aternity, lakeside knowledge is an added advantage

                                                                          +


                                                                          Certifications(atleast 1):

                                                                          +

                                                                          Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
                                                                          Microsoft Certified: Power BI Data Analyst Associate PL-300

                                                                          +

                                                                          We’re here to help

                                                                          @@ -66073,468 +66708,255 @@ Enhance Counterparty Credit Risk System to align with new business initiatives &

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst---Counterparty-Credit-Risk_R230021213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-01T17:26:13.445Z,False,0,2,94,https://talenthub.vectorinstitute.ai/jobs/296397621-senior-analyst-counterparty-credit-risk-at-bmo-financial-group,,expired,2023-12-21T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -affb7b95-3775-4e8c-951b-8cce4a356ba0,309234846,KPMG,"Manager, Data and Analytics ( Global People, Digital HR)",on_site,"Toronto, Canada",2024-02-29T16:29:01.665Z,"Overview

                                                                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                          The Opportunity

                                                                          The Manager – Data and Analytics is a process SME role is to lead the business-as-usual support and operations of the global People Identity Management System and work and effectively contribute to the cross-business and cross-product data and reporting-related projects and initiatives in Global People.


                                                                          What you will do

                                                                            -
                                                                          • Serving a product SME for the global people identity management system and leading the day-to-day support and operations of the service working closely with the off-shore support team. Engaging with Member Firms and global stakeholders for product and service feedback, change requests, issue resolution, etc
                                                                          • -
                                                                          • Advising and supporting the Digital HR Data Lead and the Data Working Group on technology solutions to inform and support the development of global strategies, policies and processes for the effective data-driven development of people across KPMG
                                                                          • -
                                                                          • Translating business processes and requirements into appropriate technology solutions to enable and support the deployment and adoption of agreed global policies and processes
                                                                          • -
                                                                          • Working closely with the Digital HR Data Lead and Global Head of People Technology Support Services, ITSG, and Global Data Office on the data and analytics projects aimed to deliver the consistent and coherent data management and insights solution across solutions and products
                                                                          • -
                                                                          • Stakeholder engagement & management across the network to promote awareness of Global Technologies; and promote consistency of adoption and usage
                                                                          • -
                                                                          • Assure compliance for Data and Analytics technologies in regard to internal procurement policies; and required information security and data protection rules and regulations
                                                                          • -
                                                                          • -

                                                                          What you bring to the role

                                                                            -
                                                                          • Bachelor’s degree and/or equivalent work experience
                                                                          • -
                                                                          • Strong knowledge and experience of implementing data-driven HR and Identity business operations and processes
                                                                          • -
                                                                          • Proven experience in delivering effective outcomes through others, and working within a matrix organization
                                                                          • -
                                                                          • Ability to work across cultures and build strong relationships
                                                                          • -
                                                                          • Comfortable with complexity and finding a new path or solution coupled with strong business acumen
                                                                          • -
                                                                          • Proven experience in the use of data and analytics to resolve issues and identify and develop service improvements and enhancements
                                                                          • -
                                                                          • Proven problem-solving skills; ability to drive through to solution in circumstances of complexity and ambiguity
                                                                          • -
                                                                          • Ability to deliver under difficult conditions and demonstrated balanced judgment under pressure
                                                                          • -
                                                                          • Strong business integrity and ability to hold sensitive information in confidence
                                                                          • -
                                                                          • Knowledge and experience of project methodologies and standards, in particular for development and implementation of Cloud technologies
                                                                          • -
                                                                          • Strong Business Analysis skills & experience
                                                                          • -
                                                                          • Strong enterprise data management and analysis knowledge (data architecture, data flows, data transformation, etc.)
                                                                          • -
                                                                          • Strong enterprise identity management knowledge (Identity Governance, Identity Management, Azure Active Directory, etc.)
                                                                          • -
                                                                          • SQL, Excel, Python (Pandas or equivalent for concepting, no actual development), Data Architecture Diagrams (UML, Visio).
                                                                          • -

                                                                          Keys to your success

                                                                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                          Providing you with the support you need to be at your best

                                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                          Our Values, The KPMG Way

                                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to visit our accessibility page.

                                                                          ",,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-03-21T16:34:01.691Z,False,0,10,157,https://talenthub.vectorinstitute.ai/jobs/309234846-manager-data-and-analytics-global-people-digital-hr-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,expired,2024-02-29T16:29:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -e891ce15-7c90-42f9-a041-83f9dc38e2a8,312215997,Scotiabank,"Manager, Collections Business Intelligence & Analytics",on_site,Canada : Ontario : North York,2024-03-14T16:26:04.518Z,"

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Data-Engineer_R230016801?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-13T12:24:02.962Z,False,0,2,62,https://talenthub.vectorinstitute.ai/jobs/284411050-sr-data-engineer-at-bmo-financial-group,,expired,2023-10-30T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +c42c0757-175b-477a-8aeb-e5fb07417d8c,299493033,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Summer 2024,on_site,Canada : Ontario : Toronto,2024-01-08T16:26:05.005Z,"

                                                                          -

                                                                          Requisition ID: 192614

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          Requisition ID: 189992

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Responsible for the automation & delivery of management reporting and analyses to enable the ScotiaHelps operations teams to make effective decisions to achieve the Bank’s credit loss & operations expense plans.

                                                                          -

                                                                          Is This Role Right for You? In this role, you will:

                                                                          +

                                                                          Term: May 2024 - August 2024
                                                                          Application Deadline: January 26th, 2024

                                                                          +

                                                                          +

                                                                          Ready to Start your Journey with Scotiabank? Apply Now!

                                                                          +

                                                                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                                                                          +

                                                                          +

                                                                          Please follow the steps below to successfully apply:

                                                                          +

                                                                          +

                                                                          Step 1: Complete your PLUM Profile here and save as a screenshot.

                                                                          +

                                                                          Step 2: Complete a short one-way video interview here.

                                                                          +

                                                                          Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                                                                          +

                                                                          Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                                                                          +

                                                                          +

                                                                          Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2024 Internship applications are the same. You only need to complete this one!

                                                                          +

                                                                          +

                                                                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +

                                                                          +

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          +

                                                                          +

                                                                          The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +
                                                                          • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business

                                                                          • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling

                                                                          • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis

                                                                          • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation

                                                                          • Make impact by constantly identifying and implementing process improvements

                                                                          • Experiment & learn!

                                                                          • +
                                                                          +

                                                                          +

                                                                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                          +
                                                                          • You are currently enrolled in post-secondary education.

                                                                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                          • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                                                                          • You have strong written/verbal communication and project management skills.

                                                                          • You have knowledge/experience in:

                                                                          • +
                                                                          +
                                                                          1. Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                          2. Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                          3. Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                          4. Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                          5. Visualization tools like PowerBI, Tableau or Olikview
                                                                          6. Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                          7. Making sense of data, creating reports, and communicating KPI’s to those who don’t speak technology
                                                                          8. +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                          • +

                                                                          -
                                                                          • Responsible for developing and publishing management dashboards for key performance indicators, providing insights to drive improvements in collections effectiveness
                                                                          • Researches & implements innovative approaches to automate data management, reporting, & data visualization
                                                                          • Develops & maintains data architecture to enable automation of management reports through SQL Server and Power BI
                                                                          • Design, develop, and implement data pipelines using Azure Data Factory to ensure efficient and scalable data integration.
                                                                          • Develop and optimize ETL processes for data extraction, transformation, and loading from various sources into Azure data storage.
                                                                          • Responsible for delivery of agent productivity & incentive reports
                                                                          • Oversees production of analyses pertaining to collections performance. Identifies actionable insights to improve collection efforts and recoveries
                                                                          • Supports strategic initiatives through data sourcing, manipulation, analyses, & visualizations
                                                                          • Supports stakeholders within collections through analyses on collections effectiveness, communicating trends & value-added insights
                                                                          • Generates clear analyses & presentations to stakeholders and senior management
                                                                          • Establishes effective relationships across multiple business and technology partners, including program and project managers to ensure timely delivery of strategic priorities
                                                                          • Fosters an inclusive, collaborative, and high-performance environment. Implements a people strategy that attracts, retains, develops, and motivates their team
                                                                          • +

                                                                            Location(s): Canada : Ontario : Toronto

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-11T16:31:04.662Z,False,0,3,47,https://talenthub.vectorinstitute.ai/jobs/299493033-velocity-data-analyst-internship-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,expired,2024-01-08T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ac37e900-7968-4d48-a183-7ebf025b23c4,308044570,Scotiabank,"Senior Manager, Model Monitoring - Retail & Small Business (TSYS Contract)",on_site,Canada : Ontario : Toronto,2024-02-22T16:26:01.849Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 193643

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          The world is changing faster than ever and so are we!

                                                                          +

                                                                          +

                                                                          “Big data”, “AI” and “machine learning” are not just buzz-words; they are part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, have a broad understanding of best-in-class processes and relish the opportunity to help us turn our vision into reality. Are you ready to join the Winning Team not only building but actively managing the high-performing prediction and forecasting models behind automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day?

                                                                          +

                                                                          +

                                                                          Model Monitoring is all about ensuring that everything we build and deploy continues to perform as expected and if not, catching any deterioration early so it can be investigated and addressed. The right candidate for this role is NOT someone who wants to design and build a handful of models each year but rather, is someone willing to take on the challenge of understanding how hundreds of them (spanning a wide range of problem types, employing a myriad of methodologies) work and can, commensurately, design, optimize and build capabilities to monitor those models post implementation. In this space, we obsess over getting things done quickly and done right, the first time. We get excited by automation and leverage a combination of collaborative development and verification / testing in our approaches.

                                                                          +

                                                                          +

                                                                          This role will be a key member of Scotiabank’s Retail & Small Business Forecasting team, responsible for effectively and efficiently building out model performance and stability monitoring insights & dashboards in accordance with policy and guidelines. This role will also work closely with our Data Analytics – Model Monitoring team with a focus on enhancing and optimizing our monitoring & insights for our regulatory capital models.

                                                                          +

                                                                          +

                                                                          What Are We Looking For?

                                                                          +

                                                                          We want talented, pragmatic, analytically-oriented team players who can share best-in-class coding and optimization practices with the department to be leveraged across all programs, and who can who can prioritize projects and their own time to deliver the optimal balance of high value long-run results while remaining responsive to urgent and ever-shifting stakeholder needs.

                                                                          +

                                                                          +

                                                                          The ideal candidate for this role will be a consummate team player who is equally comfortable wearing the following hats:

                                                                          +
                                                                          • Senior Manager of Model Monitoring
                                                                          • Data Engineer / Automation Lead
                                                                          • Senior Data Analyst
                                                                          • +
                                                                          +

                                                                          Make an Impact:

                                                                          +

                                                                          In this role, you will lead the development of new and/or enhance model performance reporting of our Forecasting – Capital Models, impacting not just our team or our partners but the bank’s quarterly disclosure to the regulator.

                                                                          +

                                                                          +

                                                                          You will collaborate on a regular basis with a wide range of stakeholders and internal partners including Model Owners (model developers), Data Analytics, and Technology & Data.

                                                                          +

                                                                          +

                                                                          Is This Role Right for You?

                                                                          +
                                                                          • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                          • You are both deeply curious and highly pragmatic
                                                                          • You understand data engineering, modeling, and data visualization concepts to strategize and execute dataset preparation, model assessments and reporting (including data extraction, transformations, application of statistical tests, and report generation)
                                                                          • You can evaluate results, derive model and business insights and communicate recommendations effectively, both verbally, visually and in writing
                                                                          • You ensure ongoing compliance with internal and regulatory monitoring requirements
                                                                          • You are willing and able to suggest and make enhancements to optimize and/or automate the model monitoring process
                                                                          • You relish ambitious but realistic goals and are committed to achieving them
                                                                          • You are comfortable initiating conversations, asking questions, and collaborating with diverse personalities
                                                                          • You are professional, motivated AND FUN. We mean it.
                                                                          • +
                                                                          +

                                                                          +

                                                                          What Do You Need to Succeed?

                                                                          +

                                                                          General

                                                                          +
                                                                          • Bachelor’s Degree in Engineering, Computer Science, Mathematics or an equivalent technical field
                                                                          • Experience as an analyst, data scientist or data engineer with a track record of accomplishments working on cross-functional teams
                                                                          • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                                                          -


                                                                          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                          -
                                                                          • Five years’ experience in a collection’s operations environment delivering performance reporting
                                                                          • Strong problem-solving, collaboration, and communication skills
                                                                          • Experience with SQL Server Elements (SSMS, SSAS, SSIS, SSRS)
                                                                          • Working knowledge of Azure Services: Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database SQL scripting and Data Modeling
                                                                          • Experience with reporting & statistical software packages such as SAS, SQL, Power BI and Python
                                                                          • Experience manipulating large and complex databases.
                                                                          • Proficient in SQL and scripting languages for data manipulation and transformation.
                                                                          • Strong understanding of data modeling, data warehousing, and ETL principles.
                                                                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture.
                                                                          • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                          • -A University degree in Economics, Finance, Mathematics, Computer science, or Information technology related discipline.
                                                                          • +

                                                                            Technical

                                                                            +
                                                                            • Strong fundamental understanding of mathematical models, forecasting and statistics
                                                                            • 5+ years of overall experience in data and analytics roles working with predictive, risk and/or forecasting models and big data
                                                                            • Highly proficient in 2+ analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix, Windows, GCP, Azure)
                                                                            • 2+ years experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                            • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                            • Experience with continuous Integration tools - Jenkins, BitBucket, GitHub

                                                                            -

                                                                            Location(s): Canada : Ontario : North York

                                                                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Collections-Business-Intelligence-&-Analytics-ON-M3C2T2/578244117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-21T16:31:03.251Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/312215997-manager-collections-business-intelligence-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Collections-Business-Intelligence-&-Analytics-ON-M3C2T2/578244117/,expired,2024-03-14T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -32b7b8d9-9453-44dc-92fa-1eab952fc272,308081908,Cohere,"Member of Technical Staff, MLE",hybrid,"Toronto, ON, Canada",2024-02-22T19:16:38.253Z,"

                                                                          Who are we?

                                                                          -

                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          Join us on our mission and shape the future!

                                                                          -

                                                                          Why this role?

                                                                          -

                                                                          As an AI Engineer (a Member of Technical Staff role on our Forward Deployed team) you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
                                                                          You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

                                                                          -

                                                                          In this role, you will:

                                                                          -
                                                                              -
                                                                            • Own and build large new areas within our product.
                                                                            • -
                                                                            • Work across backend, frontend, and customize Large Language Models.
                                                                            • -
                                                                            • Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
                                                                            • -
                                                                            • Work across the entire product lifecycle from conceptualization through production.
                                                                            • -
                                                                          -

                                                                          This career opportunity may be a good match for you if you have:

                                                                          -
                                                                              -
                                                                            • 3+ years of model training, deployment, and maintenance in a production environment.
                                                                            • -
                                                                            • Strong skills in NLP and deep learning.
                                                                            • -
                                                                            • Experience scaling products at hyper-growth startup.
                                                                            • -
                                                                            • Strong written and verbal communication skills.
                                                                            • -
                                                                            • Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
                                                                            • -
                                                                          -

                                                                          Nice to have skills/experiences:

                                                                          -
                                                                              -
                                                                            • Experience improving LLM performance for custom domains via fine tuning or RLHF.
                                                                            • -
                                                                            • Experience in Information Retrieval systems for document question answering.
                                                                            • -
                                                                            • Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
                                                                            • -
                                                                            • Published research in areas of machine learning at major conferences and/or journals.
                                                                            • -
                                                                          -

                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

                                                                          -

                                                                          Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend✈️ 6 weeks of vacation

                                                                          -

                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.

                                                                          ",,https://jobs.lever.co/cohere/6863d562-8458-41f5-95e6-75a348350233,aitalent@vectorinstitute.ai,https://cohere.ai/,,,2024-03-23T19:16:40.222Z,False,0,9,38,https://talenthub.vectorinstitute.ai/jobs/308081908-member-of-technical-staff-mle-at-cohere,,expired,2024-02-22T19:16:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, -47b7d3c2-d47b-43f5-91e2-e939ebc6da98,313621478,RBC,"Senior Development Manager – Data, Analytics, & Insights",on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.859Z,"
                                                                          -

                                                                          Job Summary

                                                                          - - +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-11T13:41:00.000Z,False,0,1,100,https://talenthub.vectorinstitute.ai/jobs/308044570-senior-manager-model-monitoring-retail-small-business-tsys-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,expired,2024-02-22T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +107d4d44-37d8-43dd-8ac2-bdd58487433d,275901476,RBC,"GRM, Risk Analyst Intern",on_site,"Toronto, ON, Canada",2023-10-02T12:21:02.815Z,"
                                                                          +

                                                                          Come Work with Us!

                                                                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                                                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                                                          +

                                                                          Job Title

                                                                          GRM, Risk Analyst Intern

                                                                          +

                                                                          Job Description

                                                                          -

                                                                          RBC is seeking a Senior Development Manager to join US Cash Management (USCM) Technology team.
                                                                          The USCM Data, Analytics, & Insights team plays a key role in supporting the data requirements needed to support this new line of business. In this role you will be responsible for leading a team of Data Engineers and Quality Automation Engineers to deliver new, enhance existing, or maintain data capabilities supplied by our Data team.

                                                                          - +

                                                                          What is the opportunity?

                                                                          +

                                                                          The Market Risk group provides independent and effective on-site monitoring, controlling and communicating on the nature and extent of all material market and trading credit risks and to ensure the implementation of and compliance with risk management policies and procedures. The incumbent will lead in developing and promoting a “Best in Class” risk oversight environment for the market risk associated with RBC’s Commodities Trading business and activities

                                                                          What will you do?

                                                                            -
                                                                          • Coordinate, develop, lead, communicate and execute activities collaborating with peers across the USCM solution offering to deliver on end-to-end capability ensuring objectives are accomplished according to requirements, plan, and schedule

                                                                          • -
                                                                          • -

                                                                            Managing, leading, and mentoring software engineers, including

                                                                            -
                                                                              -
                                                                            • Creating development plans and guiding them to achieve their full potential.

                                                                            • -
                                                                            • Creating performance plans and tracking delivery

                                                                            • -
                                                                            -
                                                                          • -
                                                                          • Working with Scrum Masters, other managers, and SMEs to create the best environment for agile high performance and delivery; track and remove roadblocks for the team.

                                                                          • -
                                                                          • Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and innovation within the team.

                                                                          • -
                                                                          • Troubleshoot issues encountered in production.

                                                                          • -
                                                                          • -

                                                                            Evaluating, maintaining, and evolving the team’s practices for

                                                                            -
                                                                              -
                                                                            • end-to-end development from ingestion of data from producers, curation, consumer reporting and data exposure with APIs

                                                                            • -
                                                                            • Best of breed application security standards – best of both industry and RBC standards

                                                                            • -
                                                                            • Evaluating and improving platform architecture on Azure

                                                                            • -
                                                                            • Documentation

                                                                            • -
                                                                            • Management of tech debt

                                                                            • -
                                                                            • Lead incident response and resolution

                                                                            • -
                                                                            -
                                                                          • +
                                                                          • Oversee and enhance risk control processes for Local market risk: Develop key sensitivity metrics, implement metrics and establish risk reporting; establish and implement appropriate limits to ensure that business is operating within approved policies and limits; identify supplementary risk controls that may be required to manage the risks and exposure as necessary
                                                                          • +
                                                                          • Monitor trading activities and exposures to ensure they are within approved policies and limits, and that reports are timely and accurate.
                                                                          • +
                                                                          • Provide insights and commentary on key risks and exposures versus market trends and potential events.
                                                                          • +
                                                                          • Work on a particular project to improve the market risk framework.
                                                                          +

                                                                          +

                                                                          What do you need to succeed?

                                                                          Must-have

                                                                            -
                                                                          • 8+ years of experience in software development in related technologies with increasing responsibilities and complexity. Proficiency in programming languages such as Java, Python or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms to solve data problems.

                                                                          • -
                                                                          • Experience in Confluent/Apache Kafka architecture, Confluent/Apache Kafka design principles, Spring and Spring boot Framework, Multi-Threading and Rest API, CI/CD Deployment procedures.

                                                                          • -
                                                                          • Experience in Swagger, MongoDB, and SQL server. Knowledge of Elasticsearch, Logstash, Kibana. Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing.

                                                                          • -
                                                                          • Solid experience in software development lifecycle and working knowledge of DevOps pipelines (GitHub, Jenkins, UCD/Helios)

                                                                          • -
                                                                          • Excellent problem-solving skills and ability to troubleshoot complex technical issues in a cloud environment. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

                                                                          • +
                                                                          • A Master’s degree in Finance, Economics or a Quantitative subject
                                                                          • +
                                                                          • Knowledge of market risk concepts (sensitivity analysis, VaR, stress testing etc.)
                                                                          • +
                                                                          • Knowledge of financial products: Forwards, Swaps, Options.
                                                                          • +
                                                                          • Strong written and oral communication skills with the ability to condense complex details into narratives suitable for communication with senior risk and business management
                                                                          • +
                                                                          • Sufficiency in Excel-VBA, and other programming languages like Python and/or SQL.
                                                                          -

                                                                          -

                                                                          Nice-to-have:

                                                                          +

                                                                          Nice-to-have

                                                                            -
                                                                          • Preferred a background in Finance / Capital Markets, demonstrating basic Understanding in industry practice and terminology.

                                                                          • -
                                                                          • Experience working in a cloud environment.

                                                                          • -
                                                                          • Experience with Snowflake, Tableau for Analytics.

                                                                          • +
                                                                          • Proven experience with Python and SQL.
                                                                          • +
                                                                          • Knowledge of commodity markets (Oil, Natural Gas, Precious and Base Metals, etc).

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • +
                                                                          • Ability to make a difference and lasting impact
                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • +
                                                                          • Opportunities to do challenging work and make a difference
                                                                          • +
                                                                          • Opportunities to building close relationships
                                                                          • +
                                                                          • Opportunity to learn variety of asset classes within RBC business units
                                                                          • +
                                                                          • Opportunity to learn and lead comprehensive and amalgamated ’commodities businesses and strategies’ within Market Risk
                                                                          • +
                                                                          • Potential to utilize transferable skills and grow within other related business areas
                                                                          • +

                                                                          -

                                                                          We are building something completely new in a dynamically changing industry – grab this opportunity to leverage the significant resources of our business and brand to make change happen in the real world. In addition, we offer;

                                                                          +

                                                                          Please note: This posting is for a 4-months Winter 2024 Student placement with a start date of January 2024, and end date of April 2024. In order to be eligible for this 4-months Student position, you must either:

                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits

                                                                          • -
                                                                          • A dedicated manager who will support, coach, and work with you to develop an individual career growth plan

                                                                          • -
                                                                          • Strong support from our personable Leadership team

                                                                          • -
                                                                          • Ability to make a difference and lasting impact

                                                                          • -
                                                                          • An agile, collaborative, progressive, and high-performing team

                                                                          • +
                                                                          • Be returning back to school after the work term end-date of April 2024 ; or
                                                                          • +
                                                                          • If you are not returning back to school (i.e. are graduating in April 2024), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.
                                                                          +

                                                                          Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

                                                                          +

                                                                          We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 6, 2023. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                                                                          +

                                                                          RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

                                                                          -

                                                                          Job Skills

                                                                          Application Development, Application Integrations, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Programming Languages, Software Development Life Cycle (SDLC), System Applications

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Technology and Operations

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-03-20

                                                                          Application Deadline:

                                                                          2024-04-30

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          +

                                                                          Job Summary

                                                                          Implements market risk analysis and participates in implementing risk management systems and processes to minimize market risk. Applies complete knowledge, skills, and practices to perform assignments.

                                                                          Address:

                                                                          ROYAL BANK PLAZA, 200 BAY ST:TORONTO

                                                                          City:

                                                                          CAN-ON-TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Group Risk Management

                                                                          Job Type:

                                                                          Student/Coop (Fixed Term)

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-09-26

                                                                          Application Deadline:

                                                                          2023-10-06

                                                                          Inclusion and Equal Opportunity Employment

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000068590/GRM-Risk-Analyst-Intern,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-10-09T12:26:02.302Z,False,0,4,47,https://talenthub.vectorinstitute.ai/jobs/275901476-grm-risk-analyst-intern-at-rbc,,expired,2023-10-02T12:21:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +18f13979-8c27-4770-8ad6-4f2bf2cb4c11,275901569,OMERS,"Data Analyst, Investment Finance",on_site,"Ontario, Canada",2023-10-02T12:30:03.576Z,"
                                                                          +

                                                                          +

                                                                          +

                                                                          The Data Analyst will be part of the Toronto based Financial Systems & Workflows Team within the Investment Finance Division, reporting to the Manager, Financial Systems & Workflow. The DataAanalyst will support the development of the portfolio analytics capabilities and support BI solutions for the Investment Finance team and its stakeholders to make informed decisions. The Data Analyst will work with various datasets, employ various data analysis techniques, and communicate their findings to stakeholders. To succeed in this role, the ideal individual needs a strong attention to detail and be a team player with a proven ability to build relationships between the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                          +

                                                                          CORE RESPONSIBILITIES:

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000081373/Senior-Development-Manager-Data-Analytics-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-18T21:06:00.000Z,False,0,1,166,https://talenthub.vectorinstitute.ai/jobs/313621478-senior-development-manager-data-analytics-insights-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -26bac7ec-eba4-4a48-ae0f-0e6cadf98fe9,316355785,Canadian Tire Corporation,Senior Retail Insights Analyst,on_site,"Ontario, Canada",2024-04-04T20:14:01.667Z,"
                                                                          -

                                                                          What you will do

                                                                          -

                                                                          The Retail Insights Analyst will be responsible for integrating data across domains (customer, digital, store operations, product, and more) into automated processes, analytical marts, and consumable formats for the business. They will use analytical techniques to discover patterns and insights that arm the store operations team with actionable intelligence for key strategic initiatives.

                                                                          -

                                                                          -
                                                                            -
                                                                          • Be relied upon as an expert of store operations data and how they tie back to business profitability.

                                                                          • -
                                                                          • Collaborate with many teams in to unlock new / improved data & analytics that drive common objectives.

                                                                          • -
                                                                          • Build predictive models forecasting sales, expenses, and business activities to improve instore execution and profitability.

                                                                          • -
                                                                          • Support the business with a fact-based ad-hoc analysis – leveraging statistical methods where possible.

                                                                          • -
                                                                          • Be an Automation Champion – developing self serve analytics that leverages workflow tools and AI to drive value generating activities in our +200 stores.

                                                                          • -
                                                                          • Contribute to the development of analytical data marts that accelerate the analytical process.

                                                                          • -
                                                                          -


                                                                          What you bring

                                                                          -
                                                                            -
                                                                          • 5+ years of experience in an analytics-based environment (retail experience preferred but not required)

                                                                          • -
                                                                          • Strong problem solving, analytical and strategic thinking skills; can see the ""big picture"" in a complex business environment and break it down into a plan of action.

                                                                          • -
                                                                          • Advanced knowledge Microsoft Excel (experience with DAX and Powerpivot considered an asset)

                                                                          • -
                                                                          • Working Knowledge of SQL for data manipulation and integration

                                                                          • -
                                                                          • Working Knowledge in interest in BI tools such as PowerBI, and/or Tableau

                                                                          • -
                                                                          • Knowledge of database management, information management, and data mart design along with hands-on experience using data analysis / workflow tools such as Knime or Alteryx is an asset.

                                                                          • -
                                                                          • Working knowledge of Python or other coding languages and experience with Azure Synapse is considered an asset.

                                                                          • -
                                                                          -

                                                                          -

                                                                          Hybrid

                                                                          -

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          -

                                                                          -

                                                                          #LI-SH1

                                                                          -

                                                                          -

                                                                          -

                                                                          About Us

                                                                          -

                                                                          -

                                                                          Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                          -

                                                                          -

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          -

                                                                          -

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                          -

                                                                          -

                                                                          Accommodations

                                                                          -

                                                                          -

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          -

                                                                          -
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Senior-Retail-Insights-Analyst_JR132606?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-04-18T21:06:00.000Z,False,0,1,79,https://talenthub.vectorinstitute.ai/jobs/316355785-senior-retail-insights-analyst-at-canadian-tire-corporation,,expired,2024-04-04T20:14:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Senior Level,No Degree,New Posting, -6766d130-6e20-4fc5-81fd-be322566d624,316500511,Shopify Inc.,"Senior Product Data Scientist, Multiple Roles",full,Canada,2024-04-05T20:27:33.115Z,"

                                                                          About Shopify

                                                                          -

                                                                          Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                          -

                                                                          This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                          -

                                                                          -

                                                                          About you

                                                                          -

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          -

                                                                          Before you apply, consider if you can:

                                                                          -
                                                                            -
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • -
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • -
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • -
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • -
                                                                          • Bring critical thought and opinion
                                                                          • -
                                                                          • Embrace differences and disagreement to get shit done and move forward
                                                                          • -
                                                                          • Work digital-first for your daily work
                                                                          • -
                                                                          -

                                                                          -

                                                                          About the role

                                                                          -

                                                                          About the role

                                                                          -

                                                                          As a Product Analytics professional, you'll be tasked with transforming raw data into actionable insights that will help guide the development and improvement of our products. This role isn't for the faint-hearted or those seeking a conventional corporate structure - we operate on the principles of low process, high trust, and high impact. It's all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

                                                                          -

                                                                          Our product is designed to empower entrepreneurs. Consequently, the work you do will not only create value for our users but also contribute to global entrepreneurship. To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                                                                          -

                                                                          As a Senior Data Scientist, you will partner with Product, Engineering, UX, and other disciplines to lead through data and achieve product/business goals. Product Data Scientists are expected to:

                                                                          -
                                                                            -
                                                                          • Proactively identify and champion projects that solve complex problems in important business areas.
                                                                          • -
                                                                          • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                                                          • -
                                                                          • Holistically own general problems in those product/business domains and understand how those problems/domains interact with the rest of Shopify.
                                                                          • -
                                                                          • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                                                          • -
                                                                          • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to inform improvements to our business
                                                                          • -
                                                                          • Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables or schemas that support business processes
                                                                          • -
                                                                          • Influence leadership to drive more data-informed decisions
                                                                          • -
                                                                          • Define and advance best practices within your data science and product teams
                                                                          • -
                                                                          -

                                                                          There are several teams looking for Product Data Scientists to partner with and help drive value for our merchants. These include:

                                                                          -

                                                                          Core Ecosystem, International, and Marketing

                                                                          -

                                                                          Merchants use Shopify in a variety of ways, using a wide array of first-party features and augmenting them with third-party apps. These all come together to help merchant’s meet their diverse needs. A shoe brand in Canada, a small jeweler in Japan, and a Fortune 500 company in Germany all need different tools so succeed! This Data Science team is focused on helping merchants make the most use of these different features and apps all over the world.

                                                                          -

                                                                          Checkout & Storefront

                                                                          -

                                                                          The Core Product Data Science team combines leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants. Data Scientists turn data into actionable insights through a number of analytical methods, such as A/B tests, In-depth studies, advanced modeling, data visualizations, etc. to shape and support our product development strategies.

                                                                          -

                                                                          Executive Insights

                                                                          -

                                                                          The Executive Insights team supports Shopify leadership in setting the direction of the company, sharing our message of entrepreneurship to the world, and investing in building the best products for our merchants. We do this by combining a deep understanding of the entrepreneurs that use our products, our position in the marketplace and the challenges our merchants face.

                                                                          -


                                                                          -

                                                                          Qualifications

                                                                            -
                                                                          • Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
                                                                          • -
                                                                          • Extensive experience in a data science role solving large-scale, high impact business problems
                                                                          • -
                                                                          • Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
                                                                          • -
                                                                          • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                          • -
                                                                          • Deep understanding of advanced SQL techniques and data modeling
                                                                          • -
                                                                          • Well versed with various Business Intelligence platforms and tools
                                                                          • -
                                                                          • Experience working with various levels of business stakeholders, from c-suite to engineering and product development teams.
                                                                          • -
                                                                          • Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
                                                                          • -
                                                                          • Experience creating data product strategies, building data products, and continued iteration after launch
                                                                          • -
                                                                          • Experience launching productionized machine learning models at scale is a plus
                                                                          • -
                                                                          • Extensive domain experience in e-commerce, sales & marketing or SaaS is a plus
                                                                          • -
                                                                          -

                                                                          We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.

                                                                          -


                                                                          ",,https://www.shopify.com/careers/senior-product-data-scientist--multiple-roles_118be8e4-210b-4f56-9a2b-4d78514d8ea5,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-18T21:07:00.000Z,False,0,6,62,https://talenthub.vectorinstitute.ai/jobs/316500511-senior-product-data-scientist-multiple-roles-at-shopify-inc,,expired,2024-04-05T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -f0921ad7-d0a4-4443-9ac1-bb75a5e35d10,313621666,OMERS,"Business Analyst, Private Markets (Infrastructure and Private Equity)",on_site,"Ontario, Canada",2024-03-21T06:45:02.200Z,"
                                                                          -

                                                                          Why join us?

                                                                          -

                                                                          -

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          -
                                                                          -
                                                                          -

                                                                          The Business Analyst, Global Investments Products & Services (GI P&S) will join a team that leads the delivery of the products and platforms that enable OMERS Global Investments (GI) to analyze opportunities, action investment decisions and optimize the OMERS investment portfolio. GI P&S works across investment teams including Private Markets - Infrastructure, Private Equity, Growth Equity and Ventures, and in close collaboration with Finance, Risk & Compliance teams.

                                                                          -

                                                                          -
                                                                          -
                                                                          -

                                                                          As a key member of the GI P&S team, the Business Analyst is instrumental in improving data & analytics capabilities by championing industry best practices and delivering high quality business requirements to support investment decision making.

                                                                          -

                                                                          -
                                                                          -

                                                                          The Business Analyst will analyze existing systems, as well as document requirements for new systems and new features and cultivate a business relationship that assists in meeting business demands. The individual must also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration as part of one or more product team(s).

                                                                          -

                                                                          -

                                                                          As a member of this team, you will be responsible for:

                                                                          -

                                                                          -

                                                                          Technical

                                                                          -
                                                                            -
                                                                          • Documenting existing business processes, looking for opportunities to create efficiencies, and ensuring that technical teams understand what to build to automate them

                                                                          • -
                                                                          • Analyzing an existing system’s functionality, data, and infrastructure, and how the system communicates with other systems

                                                                          • -
                                                                          • Understanding and deriving business value from data: analysing, preparing, formatting, and maintaining information

                                                                          • -
                                                                          • Identifying and defining detailed product requirements and use cases using various techniques, depending on the types of requirements being documented (e.g. user stories, requirements documents, use case diagrams, data flow diagrams, etc.)

                                                                          • -
                                                                          • Proficiency in data analysis tools (e.g. Power BI, Tableau, Excel).

                                                                          • -
                                                                          • Defining and executing business QA and UAT test plans, performing performance and integration tests and helping automate regression tests

                                                                          • -
                                                                          • Participating in solution delivery and support

                                                                          • -
                                                                          -
                                                                          -

                                                                          -

                                                                          Organizational

                                                                          -
                                                                          -
                                                                            -
                                                                          • Collaborate with the Product Manager and team to understand and assist in the delivery of Product Roadmap goals

                                                                          • -
                                                                          • Operating in a hybrid Agile/Waterfall development environment

                                                                          • -
                                                                          • Communicating effectively with other analysts and various other partners such as product managers, data engineers, IT infrastructure specialists, security specialists, enterprise architects and members of senior management

                                                                          • -
                                                                          • Identifying, defining, and implementing opportunities for improving existing processes

                                                                          • -
                                                                          • Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery serving as a liaison to the business community

                                                                          • -
                                                                          • Detail the flow and transformation of data from sources through data repositories/warehouses to end user datamarts /applications

                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          -

                                                                          Requirements:

                                                                          -
                                                                            -
                                                                          • University degree or equivalent experience (Business/Finance, Financial Mathematics, Computer Science, Engineering)

                                                                          • -
                                                                          • 5+ years’ experience in eliciting business requirements and understanding the outcomes clients would like to achieve

                                                                          • -
                                                                          • Experience working in the Private Markets (Infrastructure and/or Private Equity) sector is advantageous

                                                                          • -
                                                                          • Experience in the agile development process and have a familiarity with requirements techniques such as user stories, sprints etc.

                                                                          • -
                                                                          • Functional experience in CRM systems (e.g. MS Dynamics 365 / Salesforce) and SharePoint Online would be beneficial.

                                                                          • -
                                                                          • Experience in defining and executing business QA and UAT processes / testing

                                                                          • -
                                                                          • Functional experience in data centric BI projects/products with extensive data insights preparation and presentation skills

                                                                          • -
                                                                          • Industry Knowledge of best practices - asking probing questions to understand the reasons for certain requirements, and communicating to technical teams accordingly

                                                                          • -
                                                                          • Relationship Building - consistent track record of building deep business relationships. Experience in aligning expectations across various partners

                                                                          • -
                                                                          • Teamwork - motivated and keen to work in a collaborative environment with a focus on team success

                                                                          • -
                                                                          -
                                                                          +
                                                                        • Design and develop comprehensive dashboards and reporting leveraging Power BI or similar business intelligence tools
                                                                        • +
                                                                        • Work across functional areas to understand and identify reporting objectives to develop relevant reporting capabilities
                                                                        • +
                                                                        • Collect, cleanse, and process data sets from various sources, including databases, spreadsheets and external sources to ensure accuracy and consistency
                                                                        • +
                                                                        • Identify, analyze, interpret and report on trends or patterns in data sets
                                                                        • +
                                                                        • Review extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, data integrity issues, and follow the divisional data governance policies
                                                                        • +
                                                                        • Explore data sets and draw meaningful conclusions and insights, including identifying critical metrics and KPIs
                                                                        • +
                                                                        • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting
                                                                        • +
                                                                        • Conduct gap analysis to identify and recommend process improvements that affect data quality
                                                                        • +
                                                                        • Investigate, evaluate and/or propose solutions to identified problems
                                                                        • +
                                                                        • Collaborate with cross-functional teams, including finance, accounting, and IT, to address data-related challenges
                                                                        • +

                                                                          -

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3-4 days per week.

                                                                          +

                                                                          QUALIFICATIONS:

                                                                          +
                                                                            +
                                                                          • 3+ years of experience in financial management and investment support environment with exposure to relevant applications and workflow activities
                                                                          • +
                                                                          • University degree in Accounting, Finance, Mathematics, Computer Science, or related discipline
                                                                          • +
                                                                          • Experience with data visualization tools like Power BI, or data visualization libraries
                                                                          • +
                                                                          • Strong proficiency in data analysis tools and programming languages, such as Alteryx, SQL Python or others
                                                                          • +
                                                                          • Strong communication skills (written and verbal) to effectively convey complex findings to non-technical stakeholders
                                                                          • +
                                                                          • Experience in defining, implementing, and supporting innovative business solutions
                                                                          • +
                                                                          • Familiarity with database systems and data storage technologies
                                                                          • +
                                                                          • Experience with machine learning and predictive modeling is an asset
                                                                          • +
                                                                          • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          #LI-Hybrid

                                                                          Our story:

                                                                          -

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $127.4 billion in net assets as at June 30, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Business-Analyst--Private-Markets--Infrastructure-and-Private-Equity-_JR-5906?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-04-20T16:45:08.792Z,False,0,3,129,https://talenthub.vectorinstitute.ai/jobs/313621666-business-analyst-private-markets-infrastructure-and-private-equity-at-omers,,expired,2024-03-21T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9bbaa706-f7b8-4108-b138-179d7f1d180f,327936970,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-06-09T16:41:01.784Z,"
                                                                          -
                                                                          -We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. -
                                                                          -

                                                                          -
                                                                          Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                          -
                                                                          -

                                                                          You will:

                                                                          -
                                                                              -
                                                                            • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                            • -
                                                                            • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                            • -
                                                                            • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                            • -
                                                                            • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                            • -
                                                                            • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                            • -
                                                                            • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                            • -
                                                                            • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                                                                            • -
                                                                            • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                            • -
                                                                            • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                            • -
                                                                            • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                            • -
                                                                          -
                                                                          -

                                                                          You have:

                                                                          -
                                                                              -
                                                                            • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                            • -
                                                                            • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                                                                            • -
                                                                            • Extensive experience with PyTorch.
                                                                            • -
                                                                            • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                            • -
                                                                            • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                            • -
                                                                            • Experience with data manipulation and processing, such as SQL or pandas.
                                                                            • -
                                                                            • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                            • -
                                                                            • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                            • -
                                                                            • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                                                                            • -
                                                                            • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                                                                            • -
                                                                          -
                                                                          -
                                                                          Benefits and Perks:
                                                                          -
                                                                          An engaging remote-first culture
                                                                          -
                                                                          A great compensation package that includes BenchSci equity options
                                                                          -
                                                                          A robust vacation policy plus an additional vacation day every year
                                                                          -
                                                                          Company closures for 14 more days throughout the year
                                                                          -
                                                                          Flex time for sick days, personal days, and religious holidays
                                                                          -
                                                                          Comprehensive health and dental benefits.
                                                                          -
                                                                          Annual learning & development budget
                                                                          -
                                                                          A one-time home office set-up budget to use upon joining BenchSci
                                                                          -
                                                                          An annual lifestyle spending account allowance
                                                                          -
                                                                          Generous parental leave benefits with a top-up plan or paid time off options
                                                                          -
                                                                          The ability to save for your retirement coupled with a company match!
                                                                          -

                                                                          -
                                                                          About BenchSci:
                                                                          -
                                                                          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                          -
                                                                          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                          -

                                                                          -
                                                                          Our Culture:
                                                                          -
                                                                          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                          -
                                                                          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                          -
                                                                          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                          -

                                                                          -
                                                                          -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                          -

                                                                          -
                                                                          -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                          -

                                                                          -
                                                                          #LI-Remote
                                                                          -
                                                                          ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-06-13T17:42:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/327936970-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,expired,2024-06-09T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -988a1264-0d55-4cc5-b34b-4a1cb89549cc,326267711,BMO Financial Group,"Manager, Commercial Credit Risk Reporting",on_site,"Ontario, Canada",2024-05-31T01:07:02.078Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          06/13/2024

                                                                          -

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Analyst--Investment-Finance_JR-5432?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-10-09T12:35:02.806Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/275901569-data-analyst-investment-finance-at-omers,,expired,2023-10-02T12:30:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +6ef4d607-1bc3-4c48-83d9-802341e639d3,274553907,BMO Financial Group,"Head, Business Intelligence & Insights",on_site,"Ontario, Canada",2023-09-28T12:19:02.034Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          10/09/2023

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture.

                                                                          -

                                                                          #ERPMDreamJobs

                                                                          -

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies through thoughtful analysis of large datasets and information, utilizing tools such as SQL, SAS, Microsoft SSRS, and Microsoft Power BI to provide Senior Management with essential insights to make actionable decisions. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                          +

                                                                          As Head, Business Intelligence & Insights, you will play a crucial role in shaping our strategic direction by leveraging data to help senior leadership make informed decisions, manage risks, and drive innovation. You will lead a high-performing team and implement business intelligence initiatives that will help BMO Global Asset Management (GAM) deliver an optimal client experience, grow revenue, and drive efficiency. This role requires a leader who is strategic minded, has exceptional technical skills, and has a proven track record of success in building advanced analytics teams and capabilities.

                                                                          +

                                                                          +

                                                                          KEY RESPONSIBILITIES

                                                                          +

                                                                          +

                                                                          Leadership & Strategy

                                                                            -
                                                                          • Acts as a trusted advisor to assigned business/group.

                                                                          • -
                                                                          • Influences and negotiates to achieve business objectives.

                                                                          • -
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.

                                                                          • -
                                                                          • Assists in the development of strategic plans.

                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.

                                                                          • -
                                                                          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.

                                                                          • -
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.

                                                                          • -
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.

                                                                          • -
                                                                          • Leads the development and maintenance of the risk reporting framework.

                                                                          • -
                                                                          • Represents the risk reporting function during internal/external regulatory audits and/or examinations

                                                                          • -
                                                                          • Ensures alignment between stakeholders.

                                                                          • -
                                                                          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

                                                                          • -
                                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

                                                                          • -
                                                                          • May provide specialized support for other internal and external regulatory requirements.

                                                                          • -
                                                                          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.

                                                                          • -
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.

                                                                          • -
                                                                          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

                                                                          • -
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

                                                                          • -
                                                                          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                                                                          • -
                                                                          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.

                                                                          • -
                                                                          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.

                                                                          • -
                                                                          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                                                                          • -
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

                                                                          • -
                                                                          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

                                                                          • -
                                                                          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                                                                          • -
                                                                          • Provides information and supports the process for internal and external audits.

                                                                          • -
                                                                          • Gathers and formats data into regular and ad-hoc reports, and dashboards.

                                                                          • -
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders.

                                                                          • -
                                                                          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                                                                          • -
                                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                                                                          • -
                                                                          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

                                                                          • -
                                                                          • Organizes work information to ensure accuracy and completeness.

                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                          • -
                                                                          • Provides specialized consulting, analytical and technical support.

                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                          • -
                                                                          • Works independently and regularly handles non-routine situations.

                                                                          • -
                                                                          • -

                                                                            Broader work or accountabilities may be assigned as needed.

                                                                            +
                                                                          • Develop and execute the vision and roadmap for Business Intelligence & Insights capabilities to support BMO GAM growth strategy
                                                                          • +
                                                                          • Collaborate with senior leadership to identify opportunities for data-driven growth and efficiency improvements
                                                                          • +

                                                                          - +

                                                                          Team management

                                                                          +
                                                                            +
                                                                          • Lead and mentor a team of analysts, data scientists, and business intelligence professionals
                                                                          • +
                                                                          • Foster a culture of continuous improvement, innovation, and learning
                                                                          -

                                                                          Qualifications:

                                                                          +

                                                                          +

                                                                          Insights & Analysis

                                                                            -
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                          • -
                                                                          • In-depth knowledge of reporting & analytics concepts and applications such as SQL, SAS, Microsoft SSRS, and Power BI.

                                                                          • -
                                                                          • In-depth knowledge of risk management metrics, KPIs and KRIs.

                                                                          • -
                                                                          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.

                                                                          • -
                                                                          • In-depth product knowledge for the designated business/portfolio.

                                                                          • -
                                                                          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.

                                                                          • -
                                                                          • In-depth knowledge of reporting & analytics concepts and applications.

                                                                          • -
                                                                          • In-depth knowledge of risk systems technology.

                                                                          • -
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.

                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.

                                                                          • -
                                                                          • Collaboration & team skills - In-depth.

                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth.

                                                                          • -
                                                                          • Influence skills - In-depth.

                                                                          • -
                                                                          • Data driven decision making - In-depth.

                                                                          • +
                                                                          • Leverage advanced analytics capabilities (predictive, prescriptive, and machine learning) to uncover patterns, trends, and insights that may not be apparent through traditional descriptive or diagnostic analytics. Leverage these capabilities to help forecast market trends, customer demands, and emerging technologies
                                                                          • +
                                                                          • Drive innovation and competitive advantage by uncovering insights from data to identify new market opportunities, innovative product ideas, or process improvements
                                                                          -

                                                                          -

                                                                          Compensation and Benefits:

                                                                          -
                                                                          $68,000.00 - $126,000.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          Reporting & Visualization

                                                                          +
                                                                            +
                                                                          • Research and apply continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights
                                                                          • +
                                                                          • Establish reporting dashboards using visualization techniques that help users quickly identify key trends and business metrics that are actionable and relevant to them
                                                                          • +
                                                                          • Develop tools and training programs for “self-serve analytics”; may include delivery of training to audiences
                                                                          • +
                                                                          +

                                                                          +

                                                                          Data Governance

                                                                          +
                                                                          • Document data flow, systems, and processes to improve the design, implementation, and management of business/group processes
                                                                          +

                                                                          +

                                                                          Technology & Tools

                                                                          +
                                                                            +
                                                                          • Evaluate and implement digital tools that enhance data insight capabilities
                                                                          • +
                                                                          • Stay up to date with the latest BI and analytics technologies and tools
                                                                          • +
                                                                          +

                                                                          +

                                                                          Stakeholder Collaboration

                                                                          +
                                                                            +
                                                                          • Partner with Marketing, Digital, and Distribution teams to create personalized client experiences by leveraging data to understand individual preferences, behaviors, and needs. Uncover insights that will allow us to create personalized product recommendations, tailored marketing messages, and customized digital experiences
                                                                          • +
                                                                          • Foster strong internal and external networks and work with and across multiple teams to achieve business objectives
                                                                          • +
                                                                          • Collaborate with cross-functional teams to understand their data needs and provide tailored solutions
                                                                          • +
                                                                          • Present insights and recommendations to senior leadership and other key stakeholders
                                                                          • +
                                                                          +

                                                                          +

                                                                          QUALIFICATIONS

                                                                          +
                                                                            +
                                                                          • Proven experience building & leading a Data Science function
                                                                          • +
                                                                          • Strong understanding of the Asset Management business would be an asset
                                                                          • +
                                                                          • Typically, 9+ years of direct experience in this field or 15+ years of relevant experience and post-secondary degree (MMA, PhD, Master’s Engineering or Computer Science) or an equivalent combination of education and experience
                                                                          • +
                                                                          • Seasoned expert with extensive industry knowledge
                                                                          • +
                                                                          • Technical leader viewed as a thought leader for innovation
                                                                          • +
                                                                          • Expert level of proficiency in all aspects of advanced data & analytics tools and capabilities
                                                                          • +

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          We’re here to help

                                                                          @@ -66543,1273 +66965,1299 @@ f0921ad7-d0a4-4443-9ac1-bb75a5e35d10,313621666,OMERS,"Business Analyst, Private

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager---Commercial-Credit-Risk-Reporting_R240014398-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-17T21:32:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/326267711-manager-commercial-credit-risk-reporting-at-bmo-financial-group,,expired,2024-05-31T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e4a5c918-f2e5-428b-9b9e-658e81344216,312215985,Scotiabank,"Remote - First Nations / Inuit / Metis - Manager, Data Governance",on_site,Canada : Ontario : Toronto,2024-03-14T16:26:02.997Z,"

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--Business-Intelligence---Insights_R230016636?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-10-10T17:05:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/274553907-head-business-intelligence-insights-at-bmo-financial-group,,expired,2023-09-28T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Masters Degree,New Posting, +f5468616-d3d1-4271-801e-9f7e95b75b26,274636991,Scotiabank,"Manager, Digital Analytics - Tangerine",on_site,Canada : Ontario : Toronto,2023-09-28T16:24:03.100Z,"

                                                                          -

                                                                          Requisition ID: 195295

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          Requisition ID: 185783

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          +

                                                                          Purpose:

                                                                          +

                                                                          Join the fast based team environment at Scotiabank as a Manager, Digital Analytics. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty.

                                                                          -
                                                                          • Support analytics teams with the data that will allow them to create and deliver products to optimize revenue growth
                                                                          • Improve customer experiences using predictive modeling and machine learning.
                                                                          • Manage maintenance of the Data Office’s data governance standards and data management playbooks and its alignment to related policies and standards
                                                                          • Provide consultative guidance.
                                                                          • Develop and support tools and procedures to measure alignment to standards and data management maturity.
                                                                          • Enable the Bank’s adoption of the Data Governance Framework and work with 2nd line and Audit to meet regulatory obligations.
                                                                          • Work to design and develop technical solutions for enterprise data pipelines and services.
                                                                          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.
                                                                          • -
                                                                          +

                                                                          The successful candidate will create and tell comprehensive stories about how users behave using data. You’ll deliver analytics projects of moderate complexity, partnering with other analysts and cross-functional teams along the way. Through ongoing analysis, you will gain actionable insights that better address the business goals of our internal stakeholders.

                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                          -


                                                                          -
                                                                          • You have 2+ years of experience in some of these areas, such as data management, data governance, data architecture or data engineering.
                                                                          • You have a university degree in business or in a relevant STEM discipline or equivalent experience.
                                                                          • Strong project management and communication skills (both oral and written).
                                                                          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex data concepts to stakeholders outside of data.
                                                                          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
                                                                          • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform).
                                                                          • You have experience using visualization tools like Power BI, Tableau or QlikView.
                                                                          • -

                                                                          -

                                                                          What's in it for you?

                                                                          +

                                                                          Candidate Value Proposition
                                                                          • The successful candidate will have the opportunity to collaborate with analytics, marketing and digital banking squads to help optimize the efficiency and effectiveness of digital marketing campaigns, digital banking experience, and product strategy.

                                                                          -
                                                                          • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                          • A rewarding career path with diverse opportunities for professional development
                                                                          • Internal training to support your growth and enhance your skills.
                                                                          • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                          • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                                                          • Hybrid Work Environment
                                                                          • Indigenous Specific Benefits
                                                                          • $10,000 CAD annually dedicated to mental health benefits
                                                                          • Traditional Indigenous Practices Leave
                                                                          • Indigenous Employee Mentoring Program
                                                                          • -
                                                                          -


                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Remote-First-Nations-Inuit-Metis-Manager%2C-Data-Governance-ON-M5H1H1/579142917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-13T17:33:02.196Z,False,0,3,55,https://talenthub.vectorinstitute.ai/jobs/312215985-remote-first-nations-inuit-metis-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Remote-First-Nations-Inuit-Metis-Manager%2C-Data-Governance-ON-M5H1H1/579142917/,expired,2024-03-14T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -2b339fd3-5388-45d8-a9df-edf0fcf49865,316347372,Thomson Reuters,"Data Analyst, Product Analytics",on_site,"Toronto, ON, Canada",2024-04-04T19:15:44.665Z,"

                                                                          Data Analyst, Product Analytics

                                                                          If you’re an experienced data analyst who is ready to take on the challenge of collaborating with stakeholders, delivering insights through data-driven storytelling, and driving analytics initiatives, this could be the right job for you.
                                                                          Thomson Reuters is seeking a Data Analyst for the Tax and Accounting product analytics team. The analyst works as an extension of the product team and collaborates closely with design teams and senior analysts, to support upcoming decisions and long-term goals.

                                                                          This role is part of the Thomson Reuters Product Analytics team, a group of approximately 20 analysts of varied backgrounds who share ideas, best practices, and learnings with each other. This is an ideal role for a product or business analyst who is great with data, has some experience with stakeholders, and analytics initiatives, and is ready to take the next step in their career.

                                                                          About the Role
                                                                          In this opportunity as a Data Analyst - Product Analytics, you will:

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          • Develop Looker Studio dashboard in scrum setting to iteratively translate business requirement in visualization and insights
                                                                          • Work with senior stakeholder to perform on-demand product/digital analytics request
                                                                          • Prepare detailed documentation to outline data sources, analysis, and algorithms used and developed
                                                                          • Present results to business line stakeholders and help implement real world data-driven changes
                                                                          • Analyze and interpret clickstream data, providing insights to inform digital banking experience optimization and campaign strategies.
                                                                          • Work with technical analytics resources to ensure tracking code is consistently applied and managed
                                                                          • Be flexible and thrive in an evolving environment
                                                                          • Adapt to change quickly and adjust work accordingly in a positive manner

                                                                          +

                                                                          +

                                                                          +

                                                                          Key Accountabilities:

                                                                          +

                                                                          • Proactively initiate, research, and perform data analysis and provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                                                                          • Identify patterns and trends in marketing results and online activity and report on findings
                                                                          • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement and improve the effectiveness of marketing campaigns
                                                                          • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                                                                          • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                                                                          • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                                                                          • Identify bugs and erroneous analytics tags and provide solutions to development team
                                                                          • Work with Digital Channels to advise on our continually evolving digital strategy
                                                                          • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms

                                                                          +

                                                                          +

                                                                          +

                                                                          Skills and Experience:
                                                                          • 3+ years of proven working experience as a Digital Analyst, Digital Marketing Analyst, or similar role
                                                                          • 3+ years of experience with data segmentation and reporting within Google Analytics and/or Adobe Analytics as well as experience with Google Tag Manager including setting up and configuring accounts for new websites and goals
                                                                          • Working knowledge of GA4
                                                                          • Proficient in building dashboards leveraging and blending data from multiple data sources, as well as extracting data from data environments such as BigQuery
                                                                          • 2+ years of working experience with SQL and relational databases technologies/concepts for both
                                                                          • Experience with Looker Studio and/or Power BI

                                                                          +

                                                                          +

                                                                          Nice-To-Have Skills:
                                                                          • Expertise in Google Analytics implementation using Google Tag Manager
                                                                          • 2+ years of experience programming in Python or Spark
                                                                          • 2+ years of experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, and fraud/anomaly detection)
                                                                          • Experience working with digital advertising platforms (Facebook Business Manager, Google Ads, DoubleClick Manager, AppNexus) and search engine optimization is an asset

                                                                          +

                                                                          +

                                                                          +

                                                                          Degrees or Certifications:
                                                                          Bachelor’s Degree or equivalent in in STEM, or relevant field

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-10-12T16:29:03.949Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/274636991-manager-digital-analytics-tangerine-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Tangerine-ON-M2H0A1/574444617/,expired,2023-09-28T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7ab9a799-3be3-4f3c-9ca7-c9b6ce6ed4b4,278201165,Sun Life Financial,"AVP, Data Science and Analytics",on_site,"Ontario, Canada",2023-10-09T12:28:04.487Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Sun Life Health is a leading Health and Benefits providers in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives. We have an opportunity to use data to empower Canadians to take control of their health by personalizing health journeys, predicting health outcomes and preventing disease progression, and generating insights and research in partnership with the Canadian health ecosystem.

                                                                          +

                                                                          +

                                                                          Reporting to the Vice President Strategy, Partnerships, and Analytics, the AVP Data Science & Analytics will be responsible for developing and executing our data analytics strategy to enable Sun Life Health in achieving sustainable competitive advantage and growth, and improving the health outcomes of our clients. The successful candidate will work in a fast-paced, dynamic, and fun environment with a focus on further maturing our data and data science capabilities, and developing and implementing our analytics strategy and initiatives.

                                                                          +

                                                                          +
                                                                          What will you do:

                                                                            -
                                                                          • Implementation: Partner with senior analysts to establish measurement plans and then work with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure the right metrics, journeys, and events are captured in-product
                                                                          • -
                                                                          • Center of Excellence: Partner with product teams to define and maintain support processes
                                                                          • -
                                                                          • Improve Product: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities
                                                                          • -
                                                                          • BI/Reporting: Partner with BI teams and other analysts to build dashboards and reports, including baselines and trends for page performance, feature usage, and customer segments
                                                                          • -
                                                                          • Thought Leadership: Demonstrate thought leadership by leveraging analyses to understand products, derive insights, run experiments, and deliver business and customer outcomes
                                                                          • +
                                                                          • +Data Science and Analytics strategy development and execution
                                                                              +
                                                                            • Develop and maintain analytics strategy that drives growth for Sun Life Health and improvements in Client health outcomes
                                                                            • +
                                                                            • Evaluate and prioritize across opportunities to predict and prevent health outcomes, personalize the client health experience, generate value-adding research, and commercializing insights
                                                                            • +
                                                                            • Partner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategy
                                                                            • +
                                                                            • Execute the analytics strategy, collaborating within Sun Life health and across functional groups as needed
                                                                            -


                                                                            About You
                                                                            You're a fit for the role of Data Analyst - Product Analytics if your background includes:

                                                                            +
                                                                          • +
                                                                          • +Data foundation transformation
                                                                              +
                                                                            • Mature data foundations to support data science and analytics strategy, including further enabling personalization of Sun Life Health products
                                                                            • +
                                                                            • Collaborate with Enterprise Data & Analytics, Data Architecture, and Technology teams to design and implement necessary data architecture and engineering
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Data science and advanced analytics
                                                                              +
                                                                            • Apply relevant data science and analytics methodologies (including AI & ML) to deliver on our strategy
                                                                            • +
                                                                            • Lead execution of use cases and manage delivery both within the Data Science and Analytics teams, and collaborating with other Sun Life Canada businesses and functions as needed
                                                                            • +
                                                                            • Operationalize analytical models in the field by addressing technology, process and change management requirements
                                                                            • +
                                                                            • Collaborate with data analytics partners in Canada and Technology to leverage common capabilities, tools and assets
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Thought leadership and health research
                                                                              +
                                                                            • Develop relevant and value-adding health insights and research for internal and external audiences
                                                                            • +
                                                                            • Develop and maintain relevant relationships within the Canadian health ecosystem and academic communities, and represent Sun Life Health as a thought leader
                                                                            • +
                                                                            • Proactively foster relationships within Sun Life with business and functional partners to maintain an understanding of new developments in their areas
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Business Intelligence
                                                                              +
                                                                            • Coordinate development and delivery of timely and insightful reporting for Sun Life Health products (including Lumino Health Pharmacy and Lumino Provider Search)
                                                                            • +
                                                                            • Provide day-to-day data and analytics support for Sun Life Health products
                                                                            • +
                                                                            • Support product and strategy development with ad hoc business and strategic insights
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Compliance and knowledge management
                                                                              +
                                                                            • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
                                                                            • +
                                                                            • Maintain documentation of existing data processes and models
                                                                            • +
                                                                            • Ensure knowledge is cross pollinated across the team to minimize key personnel knowledge risk
                                                                            • +
                                                                            • Maintain understanding of relevant regulatory frameworks and privacy policies, and ensure compliance within data management and analytical processes
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • +Talent development and capability building
                                                                              +
                                                                            • Lead and coach a diverse reporting team through proactive career development and continuous feedback
                                                                            • +
                                                                            • Actively promote Sun Life brand and community image to attract talent
                                                                            • +
                                                                            • Continue to build and mature capabilities to deliver on Data Science and Analytics strategy
                                                                            • +
                                                                            • Ensure ongoing compliance with all applicable regulatory and policy requirements
                                                                            • +
                                                                            +
                                                                          • +
                                                                          +

                                                                          What do you need to succeed:

                                                                            -
                                                                          • 2-4 years of hands-on product analytics experience with exposure to agile/scrum processes, product backlog grooming, etc.
                                                                          • -
                                                                          • 2+ years of experience using SQL; building and documenting queries for consistent team use.
                                                                          • -
                                                                          • 2+ years of experience using Alteryx or other ETL tools.
                                                                          • -
                                                                          • 2+ years of building data visualizations with products like Tableau, MS Power BI, or similar.
                                                                          • -
                                                                          • 2+ years of experience driving data-driven decision-making within product teams going beyond report generation to deliver insights. Experience with analyses such as customer journey mapping, audience profiling/segmentation, cohort analysis, tag management, and A/B testing.
                                                                          • -
                                                                          • Demonstrated experience using statistical packages within Python/R to analyze structured and unstructured datasets and deliver insights on product usage and performance.
                                                                          • -
                                                                          • Exposure to product analytics tools such as Pendo, Amplitude, Adobe Analytics, and Google Analytics is an asset.
                                                                          • -
                                                                          • Building and maintaining support processes. Jira, MS Azure Dev Ops, and MS SharePoint experience is an asset.
                                                                          • -
                                                                          • Strong communication skills, including experience in supporting and communicating data-driven analyses to various departments and stakeholders.
                                                                          • -
                                                                          • Tax or Accounting subscription products experience is an asset.
                                                                          • +
                                                                          • Minimum of 10 years relevant business, data, and/or analytics experience, ideally within the health, pharmacy, disease management, or benefits industries
                                                                          • +
                                                                          • Experience leading data science and analytics functions to deliver value in a business context
                                                                          • +
                                                                          • Strong technical understanding of relevant data science and analytics concepts (e.g., predictive analytics, machine learning, AI), business intelligence, and relevant technology and tools
                                                                          • +
                                                                          • Experience in leading high performing teams and professional knowledge workers
                                                                          • +
                                                                          • Experience working with health, pharmacy, or benefits data an asset
                                                                          • +
                                                                          • University degree in business, engineering, computer science or related discipline

                                                                          -

                                                                          What's in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected
                                                                          Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                                          Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                                          Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                                          Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.
                                                                          Purpose-Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          #LI-SS

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -

                                                                          Accessibility

                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          -

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          -

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          Salary Range:

                                                                          140,000/140 000 - 230,000/230 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          15/10/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Data-Science-and-Analytics_JR00085881?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-10-12T19:11:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/278201165-avp-data-science-and-analytics-at-sun-life-financial,,expired,2023-10-09T12:28:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, +469a4835-2e09-450b-ad0f-f1a46bd0b9ad,285099613,BMO Financial Group,"Manager, Quantitative Analysis",on_site,"Ontario, Canada",2023-11-02T12:19:01.550Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          11/06/2023

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

                                                                          +

                                                                          +

                                                                          The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +
                                                                            +
                                                                          • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
                                                                          • +
                                                                          • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
                                                                          • +
                                                                          • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
                                                                          • +
                                                                          • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
                                                                          • +
                                                                          • Communicate with model validation to ensure successful validation of the developed methodologies.
                                                                          • +
                                                                          • Monitors and tracks developed and future model performance, and address any potential issues
                                                                          • +
                                                                          • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
                                                                          • +
                                                                          • Help with routine processes such as stress testing model runs and annual model reviews.
                                                                          • +
                                                                          • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
                                                                          • +
                                                                          +

                                                                          Qualifications

                                                                          +
                                                                            +
                                                                          • Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
                                                                          • +
                                                                          • 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
                                                                          • +
                                                                          • Strong data analysis skills, and able to deal with large data sets to extract relevant information.
                                                                          • +
                                                                          • Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
                                                                          • +
                                                                          • Proficiency with statistical/econometric modeling techniques
                                                                          • +
                                                                          • Experience with Machine Learning and Artificial Intelligence techniques is preferred
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                                                          +
                                                                            +
                                                                          • Acts as a trusted advisor to assigned business/group.
                                                                          • +
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • +
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • +
                                                                          • Assists in the development of strategic plans.
                                                                          • +
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • +
                                                                          • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                          • +
                                                                          • Supports data collection, integration, and retention requirements for data.
                                                                          • +
                                                                          • Develops experimental design approaches to validate findings or test hypotheses.
                                                                          • +
                                                                          • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                                                                          • +
                                                                          • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                                                          • +
                                                                          • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                                                          • +
                                                                          • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                                                          • +
                                                                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                                                          • +
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                                                          • +
                                                                          • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                                                          • +
                                                                          • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                                                          • +
                                                                          • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                                                          • +
                                                                          • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                                                          • +
                                                                          • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                                                          • +
                                                                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                                                          • +
                                                                          • Performs experimental design approaches to validate finding or test hypotheses.
                                                                          • +
                                                                          • Uses the appropriate algorithms to discover patterns.
                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                                                          • +
                                                                          • Supports development of tools and delivers training for data analytics and AI.
                                                                          • +
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • +
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            +
                                                                          • +
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                                                                          • +
                                                                          • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                                                          • +
                                                                          • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                                                          • +
                                                                          • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                                                                          • +
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • +
                                                                          • Collaboration & team skills - In-depth.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • +
                                                                          • Influence skills - In-depth.
                                                                          • +
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis_R230015352?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-09T12:24:01.621Z,False,0,3,35,https://talenthub.vectorinstitute.ai/jobs/285099613-manager-quantitative-analysis-at-bmo-financial-group,,expired,2023-11-02T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +9e80e069-9d4f-49ce-a0bc-845c2c1fa35b,279199784,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-10-12T16:25:04.492Z,"
                                                                          +

                                                                          Hours

                                                                          +
                                                                          37.5
                                                                          +

                                                                          +

                                                                          Workplace Model

                                                                          +
                                                                          Hybrid
                                                                          +

                                                                          +

                                                                          Pay Details

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with your recruiter and ask compensation related questions, including pay details for this role.

                                                                          +

                                                                          +

                                                                          Department Overview

                                                                          +
                                                                          +*Please note that we are hiring for multiple Senior Business Intelligence & Reporting Analyst (L09s) and Business Intelligence Specialist (L10s)*
                                                                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                                                          +

                                                                          The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                                                          +

                                                                          This is the team building the dashboards, scorecards and business intelligent insights that deliver and process vital data to business partners across the enterprise.

                                                                          +

                                                                          Joining us in Business Intelligence is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                                                          +
                                                                          +

                                                                          +

                                                                          Job Details

                                                                          +
                                                                            +
                                                                          • Develop and understand business drivers, definitions, and metrics to interpret findings, take-action, and provide meaningful business direction.
                                                                          • +
                                                                          • Develop and maintain specialized Business Intelligence (BI) packages, dashboards and scorecards on the MS Azure Cloud Platform
                                                                          • +
                                                                          • Manage the repository of all reporting assets including and not limited to data analysis, development scripts, objects and documentation.
                                                                          • +
                                                                          • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources
                                                                          • +
                                                                          • Lead the discussion with business partners to understand business objectives and develop valuable reporting for enablement and fact based decisioning
                                                                          • +
                                                                          • Validate the quality and integrity of the data included in all artifacts
                                                                          • +
                                                                          • Develop substantial and insightful commentary/insights on new and existing BI packages
                                                                          • +
                                                                          • Work independently as the senior analyst / expert and may provide technical support to others
                                                                          • +
                                                                          • Lead the implementation of initiatives in support of overall business/function strategy
                                                                          • +
                                                                          • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                                                                          • +
                                                                          • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                                                                          • +
                                                                          +

                                                                          +

                                                                          Job Requirements

                                                                          +
                                                                          +
                                                                            +
                                                                          • Experience in business or financial reporting/business insights and analysis development, is knowledgeable and savvy with new technology and tools preferably within the global financial services and back-office operations
                                                                          • +
                                                                          • Hands-on experience in using business intelligence, analytics and/or data visualization tools (ex: Tableau)
                                                                          • +
                                                                          • Experience with Python, Databricks and SQL
                                                                          • +
                                                                          • Experience with Microsoft Azure is desired
                                                                          • +
                                                                          • Strong team player who fosters and thrives in an environment of peer development and sharing
                                                                          • +
                                                                          • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo
                                                                          • +
                                                                          • Enthusiastic and focused self-starter who can work with minimal supervision to strict deadlines and is able to prioritize, multitask, and manage various projects simultaneously
                                                                          • +
                                                                          • Excellent verbal and written communication skills with the ability to work with various level of management and senior management to convey findings concisely through presentations and business commentaries
                                                                          • +
                                                                          • Strong ownership mentality, proactive attitude, and ability to get things done
                                                                          • +
                                                                          • Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative BI solutions
                                                                          • +
                                                                          • Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
                                                                          • +
                                                                          • Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
                                                                          • +
                                                                          • Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
                                                                          • +
                                                                          • Excellent interpersonal skills with the ability to proactively influence and support product decisions through analytical counsel
                                                                          • +
                                                                          • Ability to manage and supervise a team of BI analysts to provide strategic direction.
                                                                          • +
                                                                          +

                                                                          Educational Requirements/Accreditations:

                                                                          +
                                                                            +
                                                                          • Undergraduate degree or above preferably in an analytically based discipline
                                                                          • +
                                                                          • 3-5 years of relevant experience
                                                                          • +
                                                                          +
                                                                          +

                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A caring and supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe, inclusive and supportive work environment to help colleagues feel a sense of belonging, and supported in their personal and professional growth. Through our focus on total well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes … because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: hybrid, onsite and primarily remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is a customer obsessed organization, and we are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +
                                                                          +

                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          +
                                                                          +

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-11-11T17:58:14.786Z,False,0,6,96,https://talenthub.vectorinstitute.ai/jobs/279199784-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19207085/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-10-12T16:25:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f78bdfeb-6899-4e9d-850b-b8df1f3abcfd,284411050,BMO Financial Group,Sr Data Engineer,on_site,"Ontario, Canada",2023-10-30T12:19:03.257Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          11/12/2023

                                                                          -

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ175544/Data-Analyst-Product-Analytics,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-04-15T21:28:00.000Z,False,0,15,147,https://talenthub.vectorinstitute.ai/jobs/316347372-data-analyst-product-analytics-at-thomson-reuters,,expired,2024-04-04T19:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -1149d261-f2a6-4b37-a125-d9ad4677cfcf,316217240,CIBC,"Senior Consultant, Data and Records Governance (6 month)",on_site,"Ontario, Canada",2024-04-04T06:24:03.100Z,"
                                                                          -

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          -

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          -

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          What you’ll be doing

                                                                          -

                                                                          -

                                                                          Reporting to the Director, Governance and Controls, the role will provide leadership and highly specialized consultation related to Records and Data Management for PC&B (People, Culture & Brand), and provide governance support to PC&B lines of business (LOBs) to ensure compliance with CIBC’s Data Lifecycle Management, Data Governance, and Records Management Policy. In addition, the role will support PC&B with the creation and sustainment of processes (e.g., key and non-key controls) to ensure PC&B is compliant with CIBC’s ​​​​​​​Control and Deficiency Management policies and guidelines. The role will also provide support to PC&B LOBs with regulatory reporting requests, deficiency management, internal audits, and executing requirements of CIBC’s Operational Risk Management Programs (e.g., Change Initiative Risk Assessment (CIRA), Risk Control Self Assessments (RCSA), Incident Reporting).

                                                                          -

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-2 days per week on-site, while other days will be remote.

                                                                          -

                                                                          -

                                                                          How you’ll succeed

                                                                          -
                                                                            -
                                                                          • Records and Data Management Governance – Act as the PC&B-wide integrator and centralized subject matter expert to ensure PC&B is compliant with the CIBC Data Lifecycle Management, Data Governance, and Records Management Policy. This will require partnering with the PC&B Senior Records Officers (SROs), the PC&B Data Governance team and other partners on records and data related matters, such as rolling out policy and standard changes in a consistent and coordinated manner.

                                                                          • -
                                                                          • PC&B Governance & Controls Support – Provide advice and guidance to PC&B partners regarding governance and control matters. Act as relationship lead with the Enterprise Data Records Management Office (EDRMO) for PC&B and liaise with Risk Management, Compliance, Internal Audit and other PC&B partners in the maintenance and/or closures of deficiencies, opening and monitoring of controls, and to support internal audits.

                                                                          • -
                                                                          • PC&B Portfolio Risk Management Support – Provide Risk Management support and guidance to PC&B LOBs specific to records and data management, and ensure compliance with the Operational Risk Management Program Requirements (e.g., CIRA, RCSA, Incident Reporting).

                                                                          • -
                                                                          • Reporting – Assist the management team with reporting (e.g., governance reporting, regulatory requests), as required.

                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Who you are

                                                                          -
                                                                            -
                                                                          • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                                                          • -
                                                                          • You\'re passionate about people. You find meaning in relationships, and surround yourself with a diverse network of partners. You build trust through respect and authenticity.

                                                                          • -
                                                                          • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                          • -
                                                                          • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to synthesize information and communicate detailed information in an impactful way.

                                                                          • -
                                                                          • You act like an owner. You thrive when you’re empowered to take the lead, go above and beyond, and deliver results.

                                                                          • -
                                                                          • You can demonstrate experience in records management, data management, risk management and/or governance and controls.

                                                                          • -
                                                                          • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork and accountability.

                                                                          • -
                                                                          +

                                                                          Responsibilities:

                                                                          +

                                                                          Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
                                                                          Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                          Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
                                                                          Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
                                                                          Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
                                                                          Develops innovative approaches to address complex business problems and solutions, assisting with business cases
                                                                          Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
                                                                          Expert knowledge of Python, SAS, SQL and R are essential
                                                                          Extensive work experience building predictive models with machine learning methods
                                                                          Ability to apply statistical techniques and data mining tools to solve business problem
                                                                          Significant experience building UI mockups and optimizing dashboard for user experience
                                                                          Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
                                                                          Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
                                                                          Hands-on experience of SQL and Python for data access and basic transformation
                                                                          Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
                                                                          Experience in query optimization, debugging and automation
                                                                          Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
                                                                          Familiarity with an agile development process

                                                                          +


                                                                          Preferred Qualification

                                                                          +

                                                                          7+ years of experience in data analytics environments
                                                                          Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
                                                                          Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
                                                                          Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
                                                                          Experience with data modeling, warehousing and building ETL pipelines
                                                                          Experience with AWS solutions - Azure data platform, experience with Azure functions and services
                                                                          Ability to test, identify and troubleshoot report and dataset issues
                                                                          General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
                                                                          ITSM + Asset/CMDB knowledge is an asset
                                                                          Dynatrace, Aternity, lakeside knowledge is an added advantage

                                                                          +


                                                                          Certifications(atleast 1):

                                                                          +

                                                                          Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
                                                                          Microsoft Certified: Power BI Data Analyst Associate PL-300

                                                                          -

                                                                          What CIBC Offers

                                                                          -

                                                                          -

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                          -
                                                                            -
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • -
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • -
                                                                          -

                                                                          -

                                                                          *Subject to program terms and conditions

                                                                          +

                                                                          We’re here to help

                                                                          -

                                                                          What you need to know

                                                                          -
                                                                            -
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • -
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • -
                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          Expected End Date

                                                                          2024-10-31

                                                                          -

                                                                          Job Location

                                                                          Toronto-81 Bay, 34th Floor

                                                                          -

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          -

                                                                          Weekly Hours

                                                                          37.5

                                                                          -

                                                                          Skills

                                                                          Business Controlling, Client Relationship Management, Compliance Monitoring, Group Problem Solving, HR Analytics, Project Management, Regulatory Requirements, Risk Management Assessment, Work Collaboratively
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Data-and-Records-Governance--6-month-_2407792?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-15T21:57:00.000Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/316217240-senior-consultant-data-and-records-governance-6-month-at-cibc,,expired,2024-04-04T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -22120dbf-3255-4e4c-9942-85f893b3fec1,312711899,Vector Institute,"Director, Data Strategy and Partnerships",on_site,"Ontario, Canada",2024-03-17T06:42:01.527Z,"

                                                                          POSITION SUMMARY

                                                                          -

                                                                          Director, Data Strategy and Partnerships

                                                                          -

                                                                          The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to working across sectors to advance AI application, adoption, and commercialization across Canada.

                                                                          -

                                                                          The Vector Institute is seeking a Director, Data Strategy and Partnerships to join our team in Toronto. Reporting to the Chief Data Officer, the successful candidate will work cross-functionally across Vector’s Health and Technology, Industry, AI Engineering, and Research and Academic Operations work streams and with external stakeholders to:

                                                                          -
                                                                            -
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • -
                                                                          • Foster existing and new data partnerships with public and private sector stakeholders to further Vector’s mission; and,

                                                                          • -
                                                                          • Lead Vector’s data governance program spanning Vector’s private and secure Data and Analytics Environments and business operations.

                                                                          • -
                                                                          -

                                                                          -

                                                                          Profile of the Ideal Candidate

                                                                          -

                                                                          A results-driven and strategic thinker who understands the AI product life cycle and the complexities of accessing sensitive data for the purposes of AI and ML research, innovation, and education. You have a strong track record of identifying and fostering collaborative data sharing partnerships and experience driving continuous quality improvement of policies, processes, and implementation of data governance, management, and privacy best practices.

                                                                          -

                                                                          You are an effective team leader, with experience leading highly qualified and diverse staff to work together on common goals and successfully meet and advance business objectives. Your leadership and interpersonal skills allow you to navigate, develop, and nurture relationships with internal and external stakeholders. You are comfortable representing Vector as a thought leader in this space at events and in the media.

                                                                          -

                                                                          Key Responsibilities

                                                                          -
                                                                            -
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • -
                                                                          • Identify, establish, and evolve partnerships between Vector and data holding organizations;

                                                                          • -
                                                                          • Drive data sharing projects between Vector and its public and private sector partners;

                                                                          • -
                                                                          • Lead on data governance best practices and legal requirements for sensitive data to be used in AI/ML discovery;

                                                                          • -
                                                                          • Oversee the development and operationalization of organizational data governance, stewardship and management policies, standard operating procedures, and best practices;

                                                                          • -
                                                                          • Provide leadership to, and supervise the portfolio of a Project Manager and Data Steward in executing respective responsibilities and advancement of deliverables; and,

                                                                          • -
                                                                          • Other related duties as assigned.

                                                                          • -
                                                                          -

                                                                          -


                                                                          -

                                                                          Key Success Measures

                                                                          -

                                                                          -
                                                                            -
                                                                          • High impact data assets are available to Vector’s community for AI research, innovation, and education activities.

                                                                          • -
                                                                          • Streamlined operational and sustainable data governance best practices .

                                                                          • -
                                                                          • Stakeholder feedback, via informal and formal feedback mechanisms to ensure that Vector’s investments in data and infrastructure add value to the AI ecosystem.

                                                                          • -
                                                                          • AI projects, led by Vector and others, that turn data into knowledge and benefit society .

                                                                          • -
                                                                          • Contribution of Vector’s data strategy to Vector’s vision and mission through close coordination with its work streams and stakeholders.

                                                                          • -
                                                                          -

                                                                          -

                                                                          Skills and Experience

                                                                          -


                                                                          -
                                                                            -
                                                                          • Holds, at minimum, a graduate degree in a business, AI/ML, health, technical, or related field.

                                                                          • -
                                                                          • Minimum five years of experience successfully managing all operational aspects of a data strategy and/or data management program, ideally in the technology sector(s).

                                                                          • -
                                                                          • Demonstrated success with implementation of organizational strategic plans and effective business processes including evaluation and prioritization of opportunities.

                                                                          • -
                                                                          • In-depth knowledge of data governance and legal requirements as they relate to use of sensitive data (including health) to advance AI/ML research, innovation, and education activities.

                                                                          • -
                                                                          • An understanding of responsible AI and benefits of applied AI research to society.

                                                                          • -
                                                                          • Experience with working with multi-disciplinary stakeholders, prioritizing conflicting needs, managing limited resources, building multi-disciplinary project teams, handling matters expeditiously, and following through on tasks to successful completion.

                                                                          • -
                                                                          • Experience in people management is considered an asset.

                                                                          • -
                                                                          • Possesses exceptional verbal and written English communication skills, effective in presenting to a diverse set of stakeholders.

                                                                          • -
                                                                          • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and is motivated by continuous learning and the desire to make a difference and a real contribution to development and deployment of safe and trustworthy AI.

                                                                          • -
                                                                          -



                                                                          -

                                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                          -

                                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478892&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-04-17T13:07:57.140Z,False,0,2,122,https://talenthub.vectorinstitute.ai/jobs/312711899-director-data-strategy-and-partnerships-at-vector-institute,,expired,2024-03-17T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Director,Masters Degree,New Posting, -e4957ff8-2780-436a-aa32-1b8545e04f0b,306574034,RBC,"Manager, Data Engineering",on_site,"Toronto, ON, Canada",2024-02-15T06:29:01.856Z,"
                                                                          -

                                                                          Job Summary

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          RBC Canadian Banking Operations (CBO) Data and Analytics Center of Excellence (COE) is hiring a Manager, Data and Analytics COE that will lead the enhancement of our data foundation through the engineering of critical data pipelines supporting strategic insights for CBO using cutting edge data capabilities.

                                                                          -

                                                                          -

                                                                          What will you do?

                                                                          -
                                                                            -
                                                                          • Develop and maintain the automated data pipelines and infrastructure necessary to enabling the measurement of operations performance through single-source-of-truth datasets.
                                                                          • -
                                                                          • Partner with business intelligence and workforce analytics teams to accelerate speed to strategic decision-making with quicker insight delivery through data engineering and support.
                                                                          • -
                                                                          • Collaborate with business partners to understand and develop requirements for the ingestion and transformation of source-system data into meaningful and relatable performance datasets.
                                                                          • -
                                                                          • Ensure sound governance and controls are in place for all data pipelines including adherence to documentation standards.
                                                                          • -
                                                                          -

                                                                          -

                                                                          What will you need to succeed?
                                                                          Must-have

                                                                          -
                                                                            -
                                                                          • Excellent analytical and problem solving skills
                                                                          • -
                                                                          • Demonstrated capability of leveraging SQL and Python to solve data problems
                                                                          • -
                                                                          • Knowledge of and experience in design, development, and implementation utilizing big data technologies - Hadoop, Spark, Datameer, Teradata, SQL databases
                                                                          • -
                                                                          • Ability to effectively communicate, verbally and in writing, technical concepts to a non-technical audience
                                                                          • -
                                                                          • Comfort dealing with ambiguity and working independently.
                                                                          • -
                                                                          • Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing
                                                                          • -
                                                                          • Solid experience in software development lifecycle and working knowledge of DevOps pipelines (GitHub, Jenkins, UCD/Helios)
                                                                          • -
                                                                          • Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms.
                                                                          • +

                                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                            +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Data-Engineer_R230016801?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-11-13T12:24:02.962Z,False,0,2,62,https://talenthub.vectorinstitute.ai/jobs/284411050-sr-data-engineer-at-bmo-financial-group,,expired,2023-10-30T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +c42c0757-175b-477a-8aeb-e5fb07417d8c,299493033,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Summer 2024,on_site,Canada : Ontario : Toronto,2024-01-08T16:26:05.005Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 189992

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Term: May 2024 - August 2024
                                                                          Application Deadline: January 26th, 2024

                                                                          +

                                                                          +

                                                                          Ready to Start your Journey with Scotiabank? Apply Now!

                                                                          +

                                                                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

                                                                          +

                                                                          +

                                                                          Please follow the steps below to successfully apply:

                                                                          +

                                                                          +

                                                                          Step 1: Complete your PLUM Profile here and save as a screenshot.

                                                                          +

                                                                          Step 2: Complete a short one-way video interview here.

                                                                          +

                                                                          Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

                                                                          +

                                                                          Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

                                                                          +

                                                                          +

                                                                          Note: The one-way video interview & codility assessment for all our Velocity Technology Winter 2024 Internship applications are the same. You only need to complete this one!

                                                                          +

                                                                          +

                                                                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +

                                                                          +

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          +

                                                                          +

                                                                          The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +
                                                                          • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business

                                                                          • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling

                                                                          • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis

                                                                          • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation

                                                                          • Make impact by constantly identifying and implementing process improvements

                                                                          • Experiment & learn!

                                                                          -

                                                                          -

                                                                          Nice-to-have

                                                                          -
                                                                            -
                                                                          • BSc. or Masters in Mathematics, Statistics, Engineering or Computer Science is preferred
                                                                          • -
                                                                          • Experience automating routine reporting work
                                                                          • -
                                                                          • Experience within Canadian Banking Operations
                                                                          • +

                                                                            +

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            +
                                                                            • You are currently enrolled in post-secondary education.

                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

                                                                            • You have strong written/verbal communication and project management skills.

                                                                            • You have knowledge/experience in:

                                                                            -

                                                                            -

                                                                            What’s in it for you?

                                                                            -

                                                                            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                            -
                                                                              -
                                                                            • Work in a safe, secure and positive work environment
                                                                            • -
                                                                            • Work with a dynamic team focused on innovation and collaboration
                                                                            • +
                                                                              1. Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                              2. Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                              3. Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                              4. Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                              5. Visualization tools like PowerBI, Tableau or Olikview
                                                                              6. Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                              7. Making sense of data, creating reports, and communicating KPI’s to those who don’t speak technology
                                                                              8. +
                                                                              +

                                                                              +

                                                                              What’s in it for you?

                                                                              +
                                                                              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                              -

                                                                              -

                                                                              -

                                                                              Job Skills

                                                                              Actuarial Modeling, Big Data, Big Data Technologies, Business Acumen, Computer Science, Data Analysis, Data Engineering, Data Management, Data Mining, Data Pipelines, Data Science, Datasets, Decision Making, DevOps, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Problem Solving, Python (Programming Language), Software Development Life Cycle (SDLC), Structured Query Language (SQL), Teamwork

                                                                              -

                                                                              -

                                                                              -

                                                                              Additional Job Details

                                                                              -

                                                                              Address:

                                                                              RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                              City:

                                                                              TORONTO

                                                                              Country:

                                                                              Canada

                                                                              Work hours/week:

                                                                              37.5

                                                                              Employment Type:

                                                                              Full time

                                                                              Platform:

                                                                              Personal and Commercial Banking

                                                                              Job Type:

                                                                              Regular

                                                                              Pay Type:

                                                                              Salaried

                                                                              Posted Date:

                                                                              2024-02-09

                                                                              Application Deadline:

                                                                              2024-02-24

                                                                              -

                                                                              -

                                                                              -

                                                                              -

                                                                              -
                                                                              -

                                                                              Inclusion and Equal Opportunity Employment

                                                                              -

                                                                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                              ​​​​​​​
                                                                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                              -
                                                                              -

                                                                              -

                                                                              -

                                                                              -

                                                                              Join our Talent Community

                                                                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                              -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000078988/Manager-Data-Engineering,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-02-19T06:34:02.896Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/306574034-manager-data-engineering-at-rbc,,expired,2024-02-15T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -eb95d032-13e3-4547-b262-36a68a40828e,306615807,Scotiabank,"Manager, Digital Analytics - CID&A",on_site,Canada : Ontario : Toronto,2024-02-15T16:26:02.713Z,"

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-11T16:31:04.662Z,False,0,3,47,https://talenthub.vectorinstitute.ai/jobs/299493033-velocity-data-analyst-internship-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Summer-2024-ON/576470317/,expired,2024-01-08T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ac37e900-7968-4d48-a183-7ebf025b23c4,308044570,Scotiabank,"Senior Manager, Model Monitoring - Retail & Small Business (TSYS Contract)",on_site,Canada : Ontario : Toronto,2024-02-22T16:26:01.849Z,"

                                                                          -

                                                                          Requisition ID: 193403

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Join the fast based team environment at Scotiabank as a Manager, Digital Analytics. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty. The successful candidate will create and tell comprehensive stories about how users behave using data. You’ll deliver analytics projects of moderate complexity, partnering with other analysts and cross-functional teams along the way. Through ongoing analysis, you will gain actionable insights that better address the business goals of our internal stakeholders. The successful candidate will have the opportunity to collaborate with analytics, marketing and digital banking squads to help optimize the efficiency and effectiveness of digital marketing campaigns, digital banking experience, and product strategy.

                                                                          +

                                                                          Requisition ID: 193643

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          +

                                                                          The world is changing faster than ever and so are we!

                                                                          +

                                                                          +

                                                                          “Big data”, “AI” and “machine learning” are not just buzz-words; they are part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, have a broad understanding of best-in-class processes and relish the opportunity to help us turn our vision into reality. Are you ready to join the Winning Team not only building but actively managing the high-performing prediction and forecasting models behind automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day?

                                                                          +

                                                                          +

                                                                          Model Monitoring is all about ensuring that everything we build and deploy continues to perform as expected and if not, catching any deterioration early so it can be investigated and addressed. The right candidate for this role is NOT someone who wants to design and build a handful of models each year but rather, is someone willing to take on the challenge of understanding how hundreds of them (spanning a wide range of problem types, employing a myriad of methodologies) work and can, commensurately, design, optimize and build capabilities to monitor those models post implementation. In this space, we obsess over getting things done quickly and done right, the first time. We get excited by automation and leverage a combination of collaborative development and verification / testing in our approaches.

                                                                          +

                                                                          +

                                                                          This role will be a key member of Scotiabank’s Retail & Small Business Forecasting team, responsible for effectively and efficiently building out model performance and stability monitoring insights & dashboards in accordance with policy and guidelines. This role will also work closely with our Data Analytics – Model Monitoring team with a focus on enhancing and optimizing our monitoring & insights for our regulatory capital models.

                                                                          +

                                                                          +

                                                                          What Are We Looking For?

                                                                          +

                                                                          We want talented, pragmatic, analytically-oriented team players who can share best-in-class coding and optimization practices with the department to be leveraged across all programs, and who can who can prioritize projects and their own time to deliver the optimal balance of high value long-run results while remaining responsive to urgent and ever-shifting stakeholder needs.

                                                                          -
                                                                          • Develop Looker Studio dashboard in scrum setting to iteratively translate business requirement in visualization and insights
                                                                          • Work with senior stakeholder to perform on-demand product/digital analytics request
                                                                          • Prepare detailed documentation to outline data sources, analysis, and algorithms used and developed
                                                                          • Present results to business line stakeholders and help implement real world data-driven changes
                                                                          • Analyze and interpret clickstream data, providing insights to inform digital banking experience optimization and campaign strategies.
                                                                          • Work with technical analytics resources to ensure tracking code is consistently applied and managed
                                                                          • Be flexible and thrive in an evolving environment
                                                                          • Adapt to change quickly and adjust work accordingly in a positive manner
                                                                          • Proactively initiate, research, and perform data analysis
                                                                          • Provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                                                                          • Identify patterns and trends in marketing results and online activity and report on findings
                                                                          • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement
                                                                          • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                                                                          • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                                                                          • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                                                                          • Identify bugs and erroneous analytics tags and provide solutions to development team
                                                                          • Work with Digital Channels to advise on our continually evolving digital strategy
                                                                          • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms
                                                                          • +

                                                                            The ideal candidate for this role will be a consummate team player who is equally comfortable wearing the following hats:

                                                                            +
                                                                            • Senior Manager of Model Monitoring
                                                                            • Data Engineer / Automation Lead
                                                                            • Senior Data Analyst
                                                                            -

                                                                            -

                                                                            Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                            -

                                                                            -
                                                                            • 3+ years of proven working experience as a Digital Analyst, Digital Marketing Analyst, or similar role
                                                                            • 3+ years of experience with data segmentation and reporting within Google Analytics and/or Adobe Analytics
                                                                            • Experience with Google Tag Manager including setting up and configuring accounts for new websites and goals
                                                                            • Working knowledge of GA4
                                                                            • Proficient in building dashboards leveraging and blending data from multiple data sources, as well as extracting data from data environments such as BigQuery
                                                                            • 2+ years of working experience with SQL and relational databases technologies/concepts for both
                                                                            • Experience with Looker Studio and/or Power BI
                                                                            • Expertise in Google Analytics implementation using Google Tag Manager
                                                                            • 2+ years of experience programming in Python or Spark
                                                                            • 2+ years of experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, and fraud/anomaly detection)
                                                                            • Experience working with digital advertising platforms and search engine optimization is an asset
                                                                            • Excellent written and verbal communication skills
                                                                            • Ability to handle multiple projects simultaneously
                                                                            • Proven ability to work independently and with other groups in a professional and productive manner
                                                                            • Demonstrated ability to work within tight deadlines
                                                                            • Excellent analytical, logical, and organizational skills
                                                                            • +

                                                                              Make an Impact:

                                                                              +

                                                                              In this role, you will lead the development of new and/or enhance model performance reporting of our Forecasting – Capital Models, impacting not just our team or our partners but the bank’s quarterly disclosure to the regulator.

                                                                              +

                                                                              +

                                                                              You will collaborate on a regular basis with a wide range of stakeholders and internal partners including Model Owners (model developers), Data Analytics, and Technology & Data.

                                                                              +

                                                                              +

                                                                              Is This Role Right for You?

                                                                              +
                                                                              • You believe, first and foremost, in always doing the right thing and doing things the right way
                                                                              • You are both deeply curious and highly pragmatic
                                                                              • You understand data engineering, modeling, and data visualization concepts to strategize and execute dataset preparation, model assessments and reporting (including data extraction, transformations, application of statistical tests, and report generation)
                                                                              • You can evaluate results, derive model and business insights and communicate recommendations effectively, both verbally, visually and in writing
                                                                              • You ensure ongoing compliance with internal and regulatory monitoring requirements
                                                                              • You are willing and able to suggest and make enhancements to optimize and/or automate the model monitoring process
                                                                              • You relish ambitious but realistic goals and are committed to achieving them
                                                                              • You are comfortable initiating conversations, asking questions, and collaborating with diverse personalities
                                                                              • You are professional, motivated AND FUN. We mean it.
                                                                              • +
                                                                              +

                                                                              +

                                                                              What Do You Need to Succeed?

                                                                              +

                                                                              General

                                                                              +
                                                                              • Bachelor’s Degree in Engineering, Computer Science, Mathematics or an equivalent technical field
                                                                              • Experience as an analyst, data scientist or data engineer with a track record of accomplishments working on cross-functional teams
                                                                              • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines

                                                                              -

                                                                              What's in it for you?

                                                                              -

                                                                              -
                                                                              • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                              • A rewarding career path with diverse opportunities for professional development
                                                                              • Internal training to support your growth and enhance your skills.
                                                                              • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                              • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more.
                                                                              • Hybrid Work Environment
                                                                              • +

                                                                                Technical

                                                                                +
                                                                                • Strong fundamental understanding of mathematical models, forecasting and statistics
                                                                                • 5+ years of overall experience in data and analytics roles working with predictive, risk and/or forecasting models and big data
                                                                                • Highly proficient in 2+ analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix, Windows, GCP, Azure)
                                                                                • 2+ years experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                                                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                                                                • Experience with continuous Integration tools - Jenkins, BitBucket, GitHub

                                                                                -

                                                                                Location(s): Canada : Ontario : Toronto

                                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-CID&A-ON-M2H0A1/578306417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-19T16:31:02.953Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/306615807-manager-digital-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-CID&A-ON-M2H0A1/578306417/,expired,2024-02-15T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -4271a7f6-35af-4469-9bd5-4ed9215ae9f6,304659982,TD Bank Group,TDI Risk Analyst Intern/Co-op,on_site,"Toronto, ON",2024-02-05T16:28:02.175Z,"
                                                                          -

                                                                          Campus Role Type

                                                                          -
                                                                          Internship/Co-Op and Summer Opportunities
                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-11T13:41:00.000Z,False,0,1,100,https://talenthub.vectorinstitute.ai/jobs/308044570-senior-manager-model-monitoring-retail-small-business-tsys-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Monitoring-Retail-&-Small-Business-%28TSYS-Contract%29-ON-M5H1H1/578459917/,expired,2024-02-22T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +f21d3cbe-aba7-42bd-9916-5650d8697f53,322296845,CIBC,"Senior Manager, Client Insights & Analytics",on_site,"Ontario, Canada",2024-05-10T01:05:03.904Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          Start Date

                                                                          -
                                                                          Summer
                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          Department Overview

                                                                          -
                                                                          -

                                                                          TD Reinsurance (Barbados) Inc. (TDRB) is a reinsurance company domiciled in Barbados. The Company’s ultimate parent is The Toronto-Dominion Bank (TD Bank), one of Canada’s largest financial institutions. The TDRB subsidiary has been in operation for more than 30 years and is regulated locally by The Financial Services Commission.

                                                                          -

                                                                          TDRB assumes Life & Health Insurance risks from Canadian primary insurers and General Insurance risks from an affiliate insurance company within the TD Bank Group (TDBG). TDRB also assumes Life & Health Insurance and Annuities risks from large European reinsurers and likewise retrocedes Canadian Life & Health risks to these reinsurers.

                                                                          -

                                                                          In view of increased, time-sensitive deliverables being requested by head office, a temporary Risk Analyst is needed to support the Risk Management, Anti-Money Laundering/Know-Your-Customer (AML/KYC), Governance, Regulatory and Compliance strategic functions of TDRB’s operations.

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          -

                                                                          Job Details

                                                                          -
                                                                          -

                                                                          The Risk Analyst will report directly to the Barbados AVP, TD Insurance.
                                                                          Key Accountabilities:

                                                                          -
                                                                            -
                                                                          • Assist with preparation of quarterly risk reporting via Risk Dashboards and Key Indicator Dashboards.
                                                                          • -
                                                                          • Conduct monthly and periodic AML/KYC sanction screening activities.
                                                                          • -
                                                                          • Assist with performance of annual counterparty AML/KYC due diligence.
                                                                          • -
                                                                          • Assist with the review and update of business Policies and Procedures in accordance with review cycles.
                                                                          • -
                                                                          • Assist with compilation of information for presentation at Monthly Management meetings.
                                                                          • -
                                                                          • Assist with preparation of meeting material using Board software for presentation at the Audit & Risk Committee and Board of Directors’ meetings as needed.
                                                                          • -
                                                                          • Support the Compliance Officer in carrying out regulatory and compliance related tasks.
                                                                          • -
                                                                          -

                                                                          Support the TDRB team with ad-hoc requests and other deliverables from time to time.

                                                                          -

                                                                          While the TDRB Team is based in Barbados, the Risk Analyst (Summer Co-Op/Intern) position is expected to be filled in Canada. Therefore, team collaboration will be via remote connection. The successful applicant will be required to work from a physical TD location at least 2 days per week in accordance with TD’s hybrid workplace model.

                                                                          -
                                                                          +

                                                                          What you’ll be doing

                                                                          -

                                                                          Job Requirements

                                                                          -
                                                                          -
                                                                            -
                                                                          • Third or fourth-year college student pursuing an undergraduate degree in Risk Management, Management, Business Administration, or another related field. Must be returning to studies after completion of the work term.
                                                                          • -
                                                                          • Working knowledge of or willingness to learn Microsoft Outlook, Excel, Word, PowerPoint, and collaborative software such as WebEx and MS Teams
                                                                          • -
                                                                          • Strong analytical and problem-solving skills
                                                                          • -
                                                                          +

                                                                          As the Senior Manager, Client Insights & Analytics, you will strive to be a thought partner and provide advice and recommendations that assist in the development and evaluation of client segment strategies from an analytics perspective. In this capacity, you will use segmentation to deliver data driven insights and reporting to key partners. You will create executive presentations that clearly and concisely communicate key analytical findings to business leaders. You will assess potential strategies and conduct cost/benefit analysis. The focus of this role will be New-to-Canada clients as they embark on establishing financial relationships in this country. Knowledge and ability to conduct research on current immigration trends (from Immigration Canada and other external sources) for permanent residents and foreign workers who are coming to Canada and connecting opportunities to client acquisition and retention strategies will be important.

                                                                          +

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                          +

                                                                          +

                                                                          How you’ll succeed

                                                                            -
                                                                          • Ability to work under pressure in a dynamic and deadline-driven environment
                                                                          • -
                                                                          • Excellent organizational skills and acute attention to detail
                                                                          • -
                                                                          • Ability to work as part of a team and/or independently
                                                                          • -
                                                                          • Effective written and verbal communication skills
                                                                          • +
                                                                          • +Data Savvy: Contributes to the ongoing development and enhancement of analytics, business case and visual analytic tools that leverage industry best practices. Recommend improvements to overall analytical approach for the team through interaction with internal stakeholders and through industry research. Comfortable with the end to end analytical process from ETL (extract, transform, load) to synthesizing and presenting insights.
                                                                          • +
                                                                          • +Understand Business Needs: Understand the business context behind a analytics need and manage scope and project timelines. Communicate analytical findings clearly to a non-technical audience/user. Have excellent organization skills to effectively manage multiple projects of varying complexity under strict timelines.
                                                                          • +
                                                                          • +Relationship Management: Form strong working relationships with key partners across the Bank (Enterprise Analytics, Client Experience, Digital, Delivery and Operational Effectiveness), as well as, external data vendors.
                                                                          -

                                                                          -

                                                                          Additional Information

                                                                          -
                                                                          -

                                                                          Early Talent Requirements

                                                                          +

                                                                          Who you are

                                                                            -
                                                                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                          • -
                                                                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                          • -
                                                                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                          • +
                                                                          • +You can demonstrate experience. 5+ years’ experience in the banking sector (preferred) and strong skills in applied statistics and mathematics. SAS, SQL and Tableau knowledge is required. Modeling skill would be an asset. Comfortable working with Big Data and have experience with complex queries and Tableau dashboard building. You can tell an insightful story from data and deliver executive presentation decks.
                                                                          • +
                                                                          • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                                                          • +
                                                                          • +You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
                                                                          • +
                                                                          • +You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                                                          • +
                                                                          • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                                                          • +
                                                                          • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                                                          • +
                                                                          • +Values matter to you. You bring your real self to work, and you live our values – trust, teamwork and accountability.
                                                                          -
                                                                          -

                                                                          -

                                                                          Company Overview

                                                                          -
                                                                          -Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          -

                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          -

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          -

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -
                                                                          -

                                                                          -

                                                                          Inclusiveness

                                                                          -
                                                                          -Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          -

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          -

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          -

                                                                          We look forward to hearing from you!

                                                                          -
                                                                          -

                                                                          -
                                                                          ",,https://jobs.td.com/en-CA/jobs/19842214/tdi-risk-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-20T18:06:00.000Z,False,0,7,76,https://talenthub.vectorinstitute.ai/jobs/304659982-tdi-risk-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19842214/tdi-risk-analyst-intern-co-op-toronto-ca/,expired,2024-02-05T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -09ec384e-6bb4-4c78-930b-b73ae617f9c0,305155233,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2024-02-07T17:34:23.214Z,"

                                                                          Applied Machine Learning Intern

                                                                          -

                                                                          POSITION OVERVIEW

                                                                          -

                                                                          As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and health stakeholders to apply AI. You will work closely with a technical lead on your software development projects for day-to-day direction.

                                                                          -

                                                                          Start date: May 6, 2024

                                                                          -

                                                                          End date: August 30, 2024

                                                                          -

                                                                          APPLIED INTERNSHIPS AT VECTOR

                                                                          -

                                                                          The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Summer academic term (May 6 - August 30, 2024) with an opportunity to continue over the Fall 2024 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                          -

                                                                          KEY RESPONSIBILITIES

                                                                          -
                                                                            -
                                                                          • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                                          • -
                                                                          • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                                          • -
                                                                          • Develop open source software for applying AI research techniques to common problems;
                                                                          • -
                                                                          • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                                          • -
                                                                          • Develop prototypes and proofs of concept;
                                                                          • -
                                                                          • Report and present on software development including status and results; and,
                                                                          • -
                                                                          • Other duties as assigned.
                                                                          • -
                                                                          -


                                                                          -

                                                                          PROFILE OF THE IDEAL CANDIDATE

                                                                          +

                                                                          +

                                                                          What CIBC Offers

                                                                          +

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                            -
                                                                          • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.
                                                                          • -
                                                                          • You are in the second year or higher, studying at a Canadian university or college, or a recent graduate within 1 semester of graduation.
                                                                          • -
                                                                          • Experience in machine learning and/or statistics.
                                                                          • -
                                                                          • Data engineering background working with messy real-world data is preferred.
                                                                          • -
                                                                          • Analytical skills to identify signals in data and feasibility of prediction.
                                                                          • -
                                                                          • Knowledge and experience of Python.
                                                                          • -
                                                                          • Experience with parameter and architecture tuning of deep learning algorithms is preferred.
                                                                          • -
                                                                          • Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).
                                                                          • -
                                                                          • Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.
                                                                          • +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          +

                                                                          +

                                                                          *Subject to plan and program terms and conditions

                                                                          -

                                                                          NICE TO HAVE

                                                                          +

                                                                          What you need to know

                                                                            -
                                                                          • Data science experience is considered an asset.
                                                                          • -
                                                                          • Software engineering background with experience in industry is considered an asset.
                                                                          • -
                                                                          • Experience working on systems level programming on SLURM is an asset.
                                                                          • -
                                                                          • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                                          • -
                                                                          • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.
                                                                          • +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                          • +
                                                                          • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                          -

                                                                          Compensation: $25/hour.

                                                                          -

                                                                          If you have any questions, please contact internships@vectorinstitute.ai.

                                                                          -

                                                                          Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is February 20, 2024, at 9:00AM EST. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                          -

                                                                          At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                          -

                                                                          Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                                                          -

                                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478508&lang=en_CA&source=CC2,aitalent@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-02-20T18:06:00.000Z,False,0,87,299,https://talenthub.vectorinstitute.ai/jobs/305155233-applied-machine-learning-intern-at-vector-institute,,expired,2024-02-07T17:34:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -80550a68-072e-4002-92a3-33d648ba0d12,305243744,CN,"Intern, Data Migration and Governance, Analyst",on_site,"Ontario, Canada",2024-02-08T06:45:04.107Z,"
                                                                          -

                                                                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                          -

                                                                          Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration and Governance, Analyst position in Montreal, QC from May – August 2024.

                                                                          -

                                                                          Job Summary

                                                                          -

                                                                          The Intern, Data Migration and Governance, Analyst is responsible for contributing to the implementation of data management and governance strategies in a large and complex Enterprise Resource Planning (ERP) business transformation. The position helps develop skills and practical experience in a data-centric digital transformation. The role consists of assisting business and Information and Technology (I&T) stakeholders in performing Master Data profiling, cleansing and construction so it meets CN requirements before being migrated to the new system. Additionally, the position involves identification and validation of Master Data Governance (MDG) rules and workflows to ensure newly created Master Data complies with CN requirements as it gets defined over time. The areas of business covered by the Master Data will be the Mechanical department (which targets rolling assets, such as locomotives) and the Engineering department (which targets the non-rolling assets, such as tracks, signalling, and bridges). The incumbent takes part in the validation and integrated testing cycles that are being planned as part of the transformation program.

                                                                          -

                                                                          Major Responsibilities

                                                                          -

                                                                          Master Data Conversion and Quality – 50%

                                                                          -
                                                                            -
                                                                          • Identify data objects and profiling quality
                                                                          • -
                                                                          • Assist stakeholders in Master Data cleansing, construction strategies and implementation
                                                                          • -
                                                                          • Participate actively in Master Data Conversion Mock cycles, from data loading, analysis, corrective measure implementation and validation
                                                                          • -
                                                                          • Enhance and promote the Master Data quality tool Proof of Business Value
                                                                          • -
                                                                          • Be involved in specialized Data Conversion platforms, such as Syniti ADM
                                                                          • +

                                                                            +

                                                                            Job Location

                                                                            Toronto-81 Bay, 25th Floor

                                                                            +

                                                                            Employment Type

                                                                            Regular

                                                                            +

                                                                            Weekly Hours

                                                                            37.5

                                                                            +

                                                                            Skills

                                                                            Analytical Thinking, Communication, Critical Thinking, Decision Making, Organizing
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Client-Insights---Analytics_2410579?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-14T01:10:03.452Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/322296845-senior-manager-client-insights-analytics-at-cibc,,expired,2024-05-10T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,No Degree,New Posting, +53ef17e6-28c9-472f-a3d8-e3501b193767,296508141,Scotiabank,Senior Data Modeler,on_site,Canada : Ontario : Toronto,2023-12-21T16:26:01.661Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 178360

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          The Wealth Data team within the Global Wealth Engineering (GWE) team is key area in meeting the operational and analytical data needs of the various stake holders within Wealth Management.
                                                                          The Senior Data Modeler will be joining a team that is key in providing strategic data solutions to meet our business objectives. The candidate will play a key role in designing and implementing data modeling solutions using relational, dimensional and NoSQL databases. Working closely with data architects, lead business systems analysts and data engineers they will be responsible for creating and maintaining data models for our databases that support multiple geographies

                                                                          +

                                                                          +

                                                                          Is this role right for you?

                                                                          +
                                                                          • Responsible for hands on creation of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL and NoSQL)
                                                                          • Work with the Data team to implement data strategies, build data flows and develop conceptual data models.
                                                                          • Sole owner of the Data models for all data domains in Wealth management area and provide leadership and expertise in data modeling principles/methods including conceptual, logical & physical Data Models
                                                                          • Understand and translate business needs into data models supporting long-term solutions.
                                                                          • Communicate with Data Analysts, interfacing application teams & Business stakeholders and understand data requirements for consuming applications.
                                                                          • Optimize and update logical and physical data models to support new and existing projects.
                                                                          • Maintain conceptual, logical and physical data models along with corresponding metadata.
                                                                          • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
                                                                          • Recommend opportunities for reuse of data models in new environments.
                                                                          • Analyze data-related system integration challenges and propose appropriate solutions.
                                                                          -

                                                                          Master Data Governance – 50%

                                                                          -
                                                                            -
                                                                          • Assist stakeholders in identifying, implementing, and validating Master Data business rules and workflow requirements in conjunction with business owners
                                                                          • -
                                                                          • Validate data governance roadmap and strategy on specialized tools and platforms, such as System, Applications, and Products (SAP) MDG and Asset Information Workbench (AIW)
                                                                          • -
                                                                          • Participate in Integrated Test Cycles, as defined by the program, to validate Master Data-related Business Processes
                                                                          • +

                                                                            +

                                                                            +

                                                                            Do you have the skills that will enable you to succeed in this role?

                                                                            +
                                                                            • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
                                                                            • Experience with data hub, data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
                                                                            • Expert knowledge of relational databases and data architecture computer systems, including SQL
                                                                            • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required
                                                                            • Ability to effectively convey ideas to business and technical teams
                                                                            • Ideally 5+ years’ experience in technical system analysis, data mapping and translating/mapping relational data models into XML and Schemas
                                                                            • Knowledge of database administration including database security, backup and recovery, and performance monitoring standards
                                                                            • Knowledge of programming languages such as Java, Python, Scala etc
                                                                            • Knowledge of Google Cloud Platform (GCP) and toolset such Cloud Composer, Dataproc, CloudSpanner etc.
                                                                            • Knowledge of data streaming and technologies such as Kafka, Spark-streaming etc.
                                                                            • Should be a team player and work collaboratively
                                                                            • Excellent verbal, written and presentation skills
                                                                            • Previous experience in Wealth management and/or banking systems highly desirable
                                                                            • Nice to have experience in implementation of operational data store and involved in design of data models across multiple domains such as party, financial, non financial, securities, user domain etc
                                                                            • Nice to have understanding of Wealth business line and the various data domains required for building an end to end solution
                                                                            • Nice to have hands on experience in solution architecture and data architecture experience
                                                                            -

                                                                            Requirements

                                                                            -
                                                                              -
                                                                            • Interest in managing data and business processes
                                                                            • -
                                                                            • Applies critical thinking
                                                                            • -
                                                                            • Interest in identifying issues and applying resolution in complex data sets
                                                                            • -
                                                                            • Knowledge of Microsoft Office (Excel and other equivalent productivity tools) way)
                                                                            • -
                                                                            • Knowledge of Structured Query Language (SQL) scripting*
                                                                            • -
                                                                            • Communicates with impact
                                                                            • -
                                                                            • Works with geographically distributed colleagues, collaborates with others and shares information
                                                                            • +

                                                                              +

                                                                              +

                                                                              What's in it for you?

                                                                              +
                                                                              • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
                                                                              • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
                                                                              • Remote-friendly work environment will provide you with the flexibility to perform at your best.
                                                                              • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
                                                                              • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
                                                                              • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
                                                                              • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
                                                                              -

                                                                              Education

                                                                              -
                                                                              • Working towards a Bachelor’s Degree in any Technical or Business fields with interest in data management, including Business Analysis and Processes, Mathematics, Statistics, Data Science, and Engineering
                                                                              -

                                                                              *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                              -

                                                                              -

                                                                              -

                                                                              About CN

                                                                              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                              -

                                                                              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                              -
                                                                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11968?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-02-22T06:50:05.746Z,False,0,17,102,https://talenthub.vectorinstitute.ai/jobs/305243744-intern-data-migration-and-governance-analyst-at-cn,,expired,2024-02-08T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -94b32ab3-14f2-4ce9-8d38-c8db1b921844,301156207,Scotiabank,"Manager, Analytics",on_site,Canada : Ontario : Toronto,2024-01-18T16:26:02.436Z,"

                                                                          +

                                                                          Working location condition: Hybrid

                                                                          -

                                                                          Requisition ID: 191679

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          #LI-Hybrid

                                                                          -

                                                                          Purpose of Job:

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Modeler-ON-M5C2V9/570655817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-25T20:28:00.000Z,False,0,2,94,https://talenthub.vectorinstitute.ai/jobs/296508141-senior-data-modeler-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Modeler-ON-M5C2V9/570655817/,expired,2023-12-21T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +37987f9b-5571-4bb6-85a7-03b204df4e61,289148974,Scotiabank,Senior Manager Collections Strategies and Data Analytics,on_site,Canada : Ontario : Toronto,2023-11-20T16:24:03.129Z,"

                                                                          -

                                                                          The Manager contributes to the management of credit risk for the Retail portfolios by overseeing the data management and reporting function efforts with a specific focus on regulatory reporting. The Manager is responsible for the development, data analytics, data management and execution of analytical and trend-based risk management, executive management, and external stakeholder reporting packages and analytic requirements across the retail life cycle (origination, portfolio management, and collection). The Manager is responsible, but not limited to, for the timely delivery of a suite of existing regulatory reports and the development of new insightful analytics and reports as required.

                                                                          -

                                                                          Job Responsibilities:

                                                                          -

                                                                          The Manager, Analytics is responsible for driving the key deliverables for Retail Credit Risk Financial Reporting as related to monthly / quarterly reporting. Responsibilities include:

                                                                          +

                                                                          Requisition ID: 188445

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -
                                                                          • Ensure the design, development, maintenance and production of detailed reporting packages and data analytics for regulators, senior management and other external stakeholders, and the robust data management for Retail Credit Risk reporting and analytics by:

                                                                            • Designing, developing, implementing, and maintaining regulatory reports in SAS, HADOOP, GCP, Hive/Hue, SQL Server, Excel, and Power BI according to business or regulatory requirements.

                                                                            • Developing new reports and on-going enhancements.

                                                                            • Determining the best data compilation methods.

                                                                            • Developing and establishing new data sources.

                                                                            • Leading documentation and governance efforts of data, processes, reports.

                                                                            • Validating, testing, and reconciling reports with various information sources.

                                                                          • Support the standard and integrated EDL risk information system. Conduct business analysis of multiple sources for Canadian and International retail data. Develop and implement new data and reporting requirements as per the Retail Credit Risk Roadmap (HADOOP, Hue, SmartView, Power BI, SAS).

                                                                          • Maintain technical and business documentation to comply with Regulatory, Governance and Audit requirements.

                                                                          • Collect and author business and technical requirements/specifications. Ensure all processes are documented and appropriate controls are in place to satisfy audit/compliance requirements.

                                                                          • Work with technology teams to identify issues and implement solutions. Respond promptly to ad hoc requests/queries.

                                                                          • -
                                                                          -

                                                                          Job Requirements:

                                                                          +

                                                                          Purpose of Job:

                                                                          -

                                                                          A minimum of five years of progressive, relevant and practical experience with leading financial organizations, preferably in the risk management, finance, marketing or IT fields, and a proven track record of success in the implementation/management of effective information systems.

                                                                          -
                                                                          • Experience in developing and building reporting dashboards using Power BI.

                                                                          • Working knowledge of Business Intelligence and process automation software packages.

                                                                          • Data Warehousing knowledge & experience, including the management of multiple data sources.

                                                                          • Experience with manipulating large and complex datasets.

                                                                          • Design, development and implementation of decision support data management\analysis applications.

                                                                          • Maintaining a broad knowledge of current technology and practices; must have experience with the following:

                                                                            • SQL, SAS, Cognos, Business Objects.

                                                                            • Hadoop technology / tools (incl HIVE/HUE, Power BI).

                                                                            • Google Cloud Platform and related technologies.

                                                                            • Data Management, Database Design including data modeling and Data Warehousing skills.

                                                                          • Strong analytical and data mining skills with experience in manipulating large and complex datasets.

                                                                          • -
                                                                          -


                                                                          Knowledge and experience in the following areas are essential:

                                                                          -
                                                                          • Knowledge of retail credit products, policies, portfolios and delivery systems.

                                                                          • Ability to work under pressure and deliver under tight deadlines

                                                                          • Substantial risk reporting experience will be required together with an understanding of risk data and statistics.

                                                                          • A strong knowledge of the Bank’s technical platform applications.

                                                                          • Industry knowledge of trends and best practices.

                                                                          • Must be accurate and thorough; effective time and project management; strong team work and communication skills

                                                                          • -
                                                                          +

                                                                          GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

                                                                          +

                                                                          +

                                                                          The Senior Manager, Collections Strategies Late Stage is liable for collections and recovery analytics; and to generate and deploy recommendations via business cases and action plans that will be based on customer behaviour including but not limited to payment behaviour, in-house collections effectiveness metrics and external vendors. Given the criticality of the role, it is expected that the Senior Manager is able to manage challenge priorities simultaneously and to identify areas for escalation.

                                                                          +

                                                                          +

                                                                          WHAT’S IN IT FOR YOU?

                                                                          +

                                                                          * Opportunity to make a direct impact to Bank’s profitability

                                                                          +

                                                                          * A compensation program with ambitious salary, opportunities for annual performance incentives based on performance thresholds, a ambitious benefits program and continuing education programs

                                                                          +

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          +

                                                                          Leverage your strong analytical background in order to collaborate with various business partners to:

                                                                          +

                                                                          Manage late stage collections analytics, strategy, portfolio performance, and technological improvement

                                                                          +

                                                                          Generate analytical recommendations and deploy segmentation strategies that will include the use of Loss Mitigation Tools to minimize loan losses, improve dollars collected, and gain operational efficiencies

                                                                          +

                                                                          Lead the gathering and processing of structured and unstructured data into a form suitable for analysis (for instance writing scripts, web scraping, calling APIs, write SQL/Hive queries,etc.)

                                                                          +

                                                                          Deliver on analytical projects that provide applicable insights to improve collection efforts and recoveries

                                                                          +

                                                                          Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive purpose, evidence based decisions that improve profitability

                                                                          +

                                                                          Design and implement policies to help our customers in need of loan modification programs

                                                                          +

                                                                          Provide oversight of collection efforts by developing performance reports and early warning triggers

                                                                          +

                                                                          Ensure all credit risks associated with collections are derived and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)

                                                                          +

                                                                          Job Requirements:

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/577389517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-17T18:31:57.321Z,False,0,5,194,https://talenthub.vectorinstitute.ai/jobs/301156207-manager-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/577389517/,expired,2024-01-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -6b8b0caa-efcf-4daf-9efc-4f6646f79380,304593370,BMO Financial Group,"Manager, Loyalty Data & Analysis",on_site,"Ontario, Canada",2024-02-05T06:25:01.943Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          03/29/2024

                                                                          -

                                                                          -

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          ROLE

                                                                          -

                                                                          -

                                                                          The Manager, Loyalty Data & Analysis will maintain, develop, and implement customer experience/loyalty programs for the organization across multiple lines of business and delivery channels. Working with both Loyalty and cross functional teams, the incumbent will apply technical, business, and analytical knowledge together with a deep understanding of customer loyalty to assess and help improve customer loyalty programs across the organization. The role also requires that a strategic plan be maintained for setting priorities and effectively executing program deliverables.

                                                                          -

                                                                          -

                                                                          -

                                                                          SPECIFIC ACCOUNTABILITIES

                                                                          -

                                                                          -

                                                                          Program Development and Management:

                                                                          -
                                                                            -
                                                                          • Build and enhance procedures and processes aimed at optimizing customer contact execution for loyalty programs across the organization - ensure all work is fully tested and vetted prior to implementation.
                                                                          • -
                                                                          • Create business and technical requirements and supporting documentation to facilitate loyalty program builds and knowledge retention.
                                                                          • -
                                                                          • Write, test, and manage the successful implementation of computer coding changes applied when fixing, updating, and/or creating net new programs.
                                                                          • -
                                                                          • Develop and maintain data quality procedures and processes aimed at ensuring the quality and currency of data and procedures used in loyalty programs is maintained and enhanced. Propose improvements as needed to ensure the most reliable and current information is utilized.
                                                                          • -
                                                                          • Perform complex manipulation of data to restructure data for analysis, create and maintain database tables, and create output files for vendors.
                                                                          • -
                                                                          • Ensure the ongoing successful execution of loyalty programs is maintained including the timely production and loading of all sample files and vendor response files.
                                                                          • -
                                                                          • Ensure governance and controls are in place to securely transmit and receive customer information to/from external vendors.
                                                                          • -
                                                                          • Cultivate strong working relationships with business and technical partners and leaders to ensure loyalty programs are developed, maintained, and updated successfully, and are aligned with current and future business and technical needs.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Business Analytics and Insights:

                                                                          -
                                                                            -
                                                                          • Conduct data and business analysis of loyalty and customer data in order to generate insights and recommend potential improvements across programs.
                                                                          • -
                                                                          • Monitor and assess loyalty program data and performance to proactively identify trends, potential enhancements, and resolve any issues that may occur.
                                                                          • -
                                                                          • Provide thought and applied leadership on loyalty analysis and insights. Work with cross-functional teams to develop analysis of loyalty programs; work with these teams to leverage business knowledge and insights aimed at driving loyalty improvement for the organization.
                                                                          • -
                                                                          • Monitor and communicate loyalty program performance to business and technical stakeholders on a regular basis.
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Strategy and Planning:

                                                                          -
                                                                            -
                                                                          • Maintain a strategic roadmap for customer loyalty program technical builds and analytical projects.
                                                                          • -
                                                                          • Work with data, technical, and business teams to develop data infrastructure and processes that support effective loyalty program execution, automation, and analytics.
                                                                          • -
                                                                          • Assess and prioritize the development and execution of loyalty programs while recognizing the integrated environment programs operate within. Ensure priorities align to organizational priorities.
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          EDUCATION and EXPERIENCE

                                                                          -
                                                                            -
                                                                          • Minimum Bachelor’s degree required in business, statistics, research, computer science or equivalent combination of education and experience.
                                                                          • -
                                                                          • 5+ years of experience in analysis of loyalty and/or customer information.
                                                                          • -
                                                                          • 5+ years of work experience using SAS, SAS Macros, DBMS is a must.
                                                                          • -
                                                                          • 5+ years of hands-on technical and functional experience as a practitioner of data analytics and statistical methodologies.
                                                                          • -
                                                                          • Good knowledge of data analysis, business analysis, and statistics to drive actionable insights from data. Ability to apply business acumen to make decisions aligned with business goals and strategy.
                                                                          • -
                                                                          -

                                                                          -

                                                                          SUMMARY QUALIFICATIONS

                                                                          -
                                                                            -
                                                                          • Strong leadership, technical, functional and business skills to discuss, negotiate and influence at all levels in the organization.
                                                                          • -
                                                                          • Excellent relationship building skills at all levels within the organization.
                                                                          • -
                                                                          • Demonstrated expert in developing and managing programs, preferably in a complex organization with multiple lines of business.
                                                                          • -
                                                                          • Extensive experience in SAS program development and maintenance.
                                                                          • -
                                                                          • Experience with large transactional and customer-oriented relational databases. Familiarity across a broad range of data analysis, statistical analysis and programming tools, environments and techniques including SAS, SQL, Sybase, and Linux/Unix.
                                                                          • -
                                                                          • Ability to relate analytical expertise to business problems, formulate business recommendations and communicate effectively to a non-analytical audience.
                                                                          • -
                                                                          • Excellent time and resource management skills, flexibility and resourcefulness to interface and collaborate with internal and external groups.
                                                                          • -
                                                                          • Knowledge and ability to develop and apply data analysis to business and strategic issues.
                                                                          • -
                                                                          • Excellent communication and presentation skills (both written and verbal).
                                                                          • -
                                                                          • Working efficiently and accurately is essential.
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Loyalty-Data---Analysis_R240002568?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-26T06:30:02.094Z,False,0,1,102,https://talenthub.vectorinstitute.ai/jobs/304593370-manager-loyalty-data-analysis-at-bmo-financial-group,,expired,2024-02-05T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -54c44c27-5f23-4ee1-82e1-dbccbcb1572c,307275699,CIBC,"Senior IT Project Manager, AI Governance",on_site,"Ontario, Canada",2024-02-19T06:24:01.632Z,"
                                                                          -

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          +

                                                                          A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and strong background in statistical and quantitative analysis
                                                                          Strong relationship building and negotiation skills to articulate sound recommendations and influence the support from executives
                                                                          Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                                                                          Expertise in Advanced Analytics discipline including Big Data tools, AI/ Machine Learning.
                                                                          Strong background in statistical & quantitative analysis
                                                                          Three to five years’ experience creating and monitoring credit risk strategies
                                                                          Experience with statistical software packages such as R or SAS
                                                                          Experience manipulating large and complex databases
                                                                          Degree in statistics, economics, computer science or business
                                                                          Experience with TRIAD or similar collections risk platforms strongly desired
                                                                          Experience with Angos or similar platforms strongly desired
                                                                          Experience with using and/or developing credit risk scores and their application in strategies
                                                                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                                                          • Exceptional organization skills to prioritize, manage, and implement a variety of challenge initiatives, on a concurrent or staggered basis

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Collections-Strategies-and-Data-Analytics-ON-M5H1B6/575872117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-23T16:29:03.159Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/289148974-senior-manager-collections-strategies-and-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Collections-Strategies-and-Data-Analytics-ON-M5H1B6/575872117/,expired,2023-11-20T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +73ecc7b3-252e-4b4b-9520-d6e65b53927c,290391807,Sun Life Financial,Senior Analyst – Data Governance,on_site,"Ontario, Canada",2023-11-23T12:29:01.367Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Location: Hybrid (one day per week in office)

                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          What You’ll Be Doing

                                                                          -

                                                                          As a Senior Project Manager, you will join the Strategic Initiatives Delivery team within Architecture, Data & Analytics to manage delivery of medium to large scale projects working collaboratively with business stakeholders, vendors, and technical resources. This is an exciting role within a highly visible area of the bank and you will be primarily leading AI Governance and initiatives , you will be responsible for overseeing and implementing strategies to ensure ethical and responsible use of artificial intelligence (AI) technologies within our organization. You will collaborate with cross-functional teams to develop policies, guidelines, and procedures that align with regulatory standards and ethical principles. Your role will involve assessing risks, managing compliance, and driving initiatives to promote transparency and accountability in AI development and deployment throughout the organization. You will work with various stakeholders to understand the strategic direction of the bank and support the delivery with large scale budgets.

                                                                          +

                                                                          Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          +

                                                                          Reporting to the Director - Business Intelligence & Data Enablement, the Senior Analyst - Data Governance will be responsible for developing, implementing and maintaining the data governance program for the RA&S team.

                                                                          -

                                                                          How you\'ll succeed

                                                                          +

                                                                          What will you do:

                                                                            -
                                                                          • AI Governance: Leading AI Governance and initiatives and oversee and implement strategies to ensure ethical and responsible use of artificial intelligence (AI) technologies within CIBC.

                                                                          • -
                                                                          • Project Management – Outline project goals, terms of reference, resource requirements, and costs. Create a resource plan that ensures all stakeholders have a voice on the project. Assess the efficiency of the practices and procedures used by a team and provide guidance that will continuously improve the project plan.

                                                                          • -
                                                                          • Collaboration – Help internal partners make informed decisions about the development of programs, products, and services. Coach and mentor, your teams as you work toward a common goal. Negotiate deliverables and milestones whenever necessary.

                                                                          • -
                                                                          • Project Coordination – Proactively identify risks to the project schedule and find ways to mitigate them. Monitor milestones; ensure they are completed according to timelines and budgets. Execute a project plan that strikes the right balance between budget, time, and risk.

                                                                          • -
                                                                          • Communication and Persuasion – Share ideas, build consensus, and write with impact. Chair meetings and

                                                                          • -
                                                                          • Relationships – Develop trusted working relationships with business stakeholders and technology partners.

                                                                          • -
                                                                          • Leadership – For those candidates with extensive experience, training, and mentoring colleagues.

                                                                          • +
                                                                          • Support the development of the data governance multi-year strategy for RA&S team. Execute and track initiatives and ensure the implementation of plans and tactics to reach data governance maturity.

                                                                          • +
                                                                          • Own the critical data elements work for the RA&S team and ensure the complete documentation of business rules and definitions.

                                                                          • +
                                                                          • Data Dictionary and Data Lineage: Lead the creation of data dictionary and data lineage for all critical data elements identified by the team. Continue to maintain and own all data governance after creation.

                                                                          • +
                                                                          • Data Quality: Partner with the data engineering and BI teams to develop and maintain a comprehensive data quality program. Develop a data quality score card to track the progress of the data quality program.

                                                                          • +
                                                                          • Data Access: Review the current process of granting data access within the team and develop a more robust and streamline process as the team migrate to the data lake.

                                                                          • +
                                                                          • Data Privacy: Ensure the adherence to all data privacy laws and regulations. Stay up to date to new regulations.

                                                                          • +
                                                                          • Platforms: Set up the RA&S team data governance instance in Collibra and continue to maintain and own the development for the team.

                                                                          • +
                                                                          • Risk and Compliance: Ensure the adherence to all internal risk and compliance policies related to documentation, testing and risk assessments.

                                                                          • +
                                                                          • Identify data stewards from each business unit. Work closely and communicate regularly with them to enforce the adherence to and track the effectiveness of the data governance program.

                                                                          • +
                                                                          • Work with other data governance teams within the organization to enable and unlock data governance potential, implement best practices and benchmark against other teams and organizations.

                                                                          -

                                                                          Who you are

                                                                          +

                                                                          What will you need to succeed:

                                                                            -
                                                                          • You can demonstrate at least five years of experience in project management, preferably managing AI Governance initiatives. You lead the AI governance & subsequent change management activities. You have experience with project management and issue management tools like Planview, ServiceNow, and JIRA. It is an asset of you come from Financial Services Industry.

                                                                          • -
                                                                          • You have a degree/diploma in Computer Science, Engineering, Management Information Systems, or a related field of study. It’s an asset if you have your PMP designation.

                                                                          • -
                                                                          • You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.

                                                                          • -
                                                                          • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                                                          • -
                                                                          • You’re digitally savvy. You seek out innovative solutions and embrace leading-edge technologies. You can easily adapt to new tools and trends.

                                                                          • -
                                                                          • You\'re driven by collective success. You know that collaboration can transform a clever idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.

                                                                          • -
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability

                                                                          • +
                                                                          • Minimum of 7 years relevant experience in data governance, ideally within insurance, wealth management or other financial services

                                                                          • +
                                                                          • Experience in using data governance tools and platforms such as Collibra or similar platforms

                                                                          • +
                                                                          • Business and technical understanding of data and advanced analytics concepts and technology

                                                                          • +
                                                                          • University degree in business, engineering, computer science or related discipline

                                                                          -

                                                                          What CIBC Offers

                                                                          +

                                                                          Reliability status:

                                                                          -

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                          +

                                                                          Must be able to obtain Reliability Status through the Government of Canada (includes a background check with fingerprinting by the RCMP).

                                                                          +

                                                                          +

                                                                          Why join Sun Life:

                                                                            -
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • -
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • -
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          • +
                                                                          • Competitive salary and bonus structure influenced by market range data

                                                                          • +
                                                                          • A friendly, collaborative and inclusive culture

                                                                          • +
                                                                          • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family

                                                                          • +
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                                          -

                                                                          *Subject to plan and program terms and conditions

                                                                          +

                                                                          #LI-Hybrid

                                                                          -

                                                                          What you need to know

                                                                          -
                                                                            -
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • -
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                          • -
                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          +

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          02/12/2023
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analyst---Data-Governance_JR00088843?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-12-04T12:36:02.836Z,False,0,1,78,https://talenthub.vectorinstitute.ai/jobs/290391807-senior-analyst-data-governance-at-sun-life-financial,,expired,2023-11-23T12:29:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +1df7cd51-99d8-49f4-869f-6a76938ba3ef,289138484,RBC,"Associate Director, IFRS 9 Execution & Analytics",on_site,"Toronto, ON, Canada",2023-11-20T12:23:02.026Z,"
                                                                          +

                                                                          Job Summary

                                                                          The Associate Director, IFRS 9 Execution & Analytics will assist in the execution, business engagement, and analytics of RBC’s IFRS 9 credit provisioning.

                                                                          The ideal candidate will support the Director, IFRS 9 Credit Provisioning Canadian Banking Retail in developing and generating reports for oversight committees and senior management, and manage the maintenance and development of requisite processes, SOX controls, and analyses in support of credit provisioning activities.

                                                                          -

                                                                          Job Location

                                                                          Toronto-81 Bay, 21st Floor

                                                                          -

                                                                          Employment Type

                                                                          Regular

                                                                          -

                                                                          Weekly Hours

                                                                          37.5

                                                                          -

                                                                          Skills

                                                                          Communication, Information Technology (IT) Projects, Management Support, Project Implementations
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-IT-Project-Manager_2403736?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-02-26T06:29:01.447Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/307275699-senior-it-project-manager-ai-governance-at-cibc,,expired,2024-02-19T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -534e505f-4b36-4bfb-9cda-8a9cf434bd5d,317421882,Canadian Tire Corporation,Senior Financial Data Analyst,on_site,"Ontario, Canada",2024-04-11T06:18:02.392Z,"
                                                                          -

                                                                          What you’ll do

                                                                          -

                                                                          The Senior Financial Data Analyst role is an exciting interdisciplinary role where you will be responsible for store labour planning, as well as providing analytical support for strategic initiatives and operational efficiencies. The incumbent will present relevant analysis and prepare reports that support various levels of the organization from store managers to senior executives. The ideal candidate should be comfortable working with large sets of data and possess familiarity with forecasting, budgeting, and planning activities within a typical FP&A role. This position will frequently collaborate with the Store Operations leadership teams in SportChek and Mark’s. It provides opportunities to gain insights into advanced analytics, machine learning, and automation as applied to finance and store operations processes.

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          As part of the Group Risk Management (GRM) team, the Associate Director, IFRS 9 Execution & Analytics will assist in the execution, business engagement, and analytics of RBC’s IFRS 9 credit provisioning.

                                                                          +

                                                                          +

                                                                          The ideal candidate will support the Director, IFRS 9 Credit Provisioning Canadian Banking Retail in developing and generating reports for oversight committees and senior management, and manage the maintenance and development of requisite processes, SOX controls, and analyses in support of credit provisioning activities.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Play a key role in managing the Store Payroll spend at SportChek and Mark’s

                                                                          • -
                                                                          • Identify areas or opportunities within the business for operational efficiencies and/or revenue growth, analyzing and implementing changes that will influence store operations strategy and drive improved profitability.

                                                                          • -
                                                                          • Lead compensation plan model design target setting to drive performance of strategic metrics and meet financial targets.

                                                                          • -
                                                                          • Lead and participate in planning meetings to support ongoing business initiatives.

                                                                          • -
                                                                          • Collaborate with many teams to unlock new analytics that drive common objectives.

                                                                          • -
                                                                          • Be an Automation Champion – develop self-serve analytics to drive value generating activities in our 550+ stores across Mark’s and SportChek

                                                                          • -
                                                                          • Oversee analytical processes leveraging store financial data including income statement data.

                                                                          • +
                                                                          • Understand and analyze portfolios results from IFRS9 expected credit loss models
                                                                          • +
                                                                          • Prepare reporting and provide communication to functional stakeholders on portfolios’ analysis and results
                                                                          • +
                                                                          • Assist with preparing reports and analyses for the Allowance Committee and senior executives, explaining/correlating reported expected credit loss (ECL) with macroeconomic and portfolio loss drivers.
                                                                          • +
                                                                          • Work with the Credit Measurement System team to understand credit provision results and assumptions
                                                                          • +
                                                                          • Work with the Credit Methodology and Modelling team to understand modelling assumptions and impact of ongoing methodology enhancement
                                                                          • +
                                                                          • Enhance the reporting framework by creating more tailored reports for specific stakeholders and improving current processes
                                                                          • +
                                                                          • Assist with preparing documentation of processes and policies including SOX controls as required
                                                                          • +
                                                                          • Keep abreast of macroeconomic, regulatory, accounting and other financial industry developments as they relate to RBC\'s credit provisioning.

                                                                          -

                                                                          What you bring

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          +

                                                                          Must-have

                                                                            -
                                                                          • Minimum of 3 years of experience in a business, analytics, or finance role

                                                                          • -
                                                                          • Professional accounting designation (CPA, CA, CGA, CMA) and/or master’s degree in MMA, MBA, or analytics is considered an asset.

                                                                          • -
                                                                          • Ability to clearly and confidently, communicate to both technical and non-technical audiences.

                                                                          • -
                                                                          • Ability to manage multiple projects, driving key business results under tight deadlines.

                                                                          • -
                                                                          • Strong problem solving, analytical, and strategic thinking skills; able to see the “big picture” in a complex business environment.

                                                                          • -
                                                                          • Working Knowledge or interest in BI tools such as PowerBI, and/or Tableau

                                                                          • -
                                                                          • Knowledge of database management, information management, and data mart design along with hands-on experience using data analysis / workflow tools such as Knime or Alteryx is an asset.

                                                                          • -
                                                                          • Working knowledge of Python, SQL or other coding languages and experience with Azure Synapse and/or Databricks is considered an asset.

                                                                          • +
                                                                          • Strong banking and risk knowledge (wholesale or retail credit or both), with cross-functional capability Risk and Finance;
                                                                          • +
                                                                          • University degree preferred in an analytical discipline such as Finance, Statistics, Mathematics, or Economics;
                                                                          • +
                                                                          • Experience in SAS/R/Python/MATLAB or other mathematical / statistical programming languages
                                                                          • +
                                                                          • Strong ability to communicate, verbally and in writing, complex concepts in non-technical terms to business segment and Finance.
                                                                          • +
                                                                          • Quick learner with outstanding analytical, and problem solving skills, with an ability to work towards challenging deadlines and deliver under pressure

                                                                          -

                                                                          Hybrid

                                                                          +

                                                                          Nice-to-have

                                                                          +
                                                                            +
                                                                          • A thorough understanding of relevant accounting and regulatory rules and requirements (IFRS 9, Basel) preferred
                                                                          • +
                                                                          • Experience with Canadian Banking retail portfolios (Home Equity Finance, Cards, Personal Lending)
                                                                          • +

                                                                          -

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • +
                                                                          • Opportunities to do challenging work

                                                                          • +
                                                                          • Flexible work/life balance options

                                                                          • +

                                                                          -

                                                                          #LI-SH1

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Accounting Finance, Budgeting, Business Acumen, Decision Making, Effectiveness Measurement, Finance, Financial Risk Management (FRM), Knowledge Organization, Long Term Planning, Performance Management (PM)

                                                                          +

                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          GROUP RISK MANAGEMENT

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-11-17

                                                                          Application Deadline:

                                                                          2023-12-03

                                                                          -

                                                                          About Us

                                                                          -

                                                                          Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                          -

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          -

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          -

                                                                          Accommodations

                                                                          -

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          -
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Senior-Financial-Data-Analyst_JR132610?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-04-25T06:49:02.042Z,False,0,4,87,https://talenthub.vectorinstitute.ai/jobs/317421882-senior-financial-data-analyst-at-canadian-tire-corporation,,expired,2024-04-11T06:18:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, -8be20d36-6651-453f-a597-f14c1b56d50d,318652520,Scotiabank,"Data Analyst, Client Insights and Analytics - New Graduate",on_site,Canada : Ontario : Toronto,2024-04-18T16:28:02.099Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 197331

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000072332/Associate-Director-IFRS-9-Execution-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-12-04T12:28:01.624Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/289138484-associate-director-ifrs-9-execution-analytics-at-rbc,,expired,2023-11-20T12:23:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ff3b8178-f7f2-4044-bb28-3d2ff0b069c6,291128089,BMO Financial Group,Sr Data Engineer,on_site,"Ontario, Canada",2023-11-27T12:19:01.621Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          12/07/2023

                                                                          +

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Responsibilities:

                                                                          +

                                                                          Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
                                                                          Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                                                          Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
                                                                          Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
                                                                          Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
                                                                          Develops innovative approaches to address complex business problems and solutions, assisting with business cases
                                                                          Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
                                                                          Expert knowledge of Python, SAS, SQL and R are essential
                                                                          Extensive work experience building predictive models with machine learning methods
                                                                          Ability to apply statistical techniques and data mining tools to solve business problem
                                                                          Significant experience building UI mockups and optimizing dashboard for user experience
                                                                          Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
                                                                          Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
                                                                          Hands-on experience of SQL and Python for data access and basic transformation
                                                                          Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
                                                                          Experience in query optimization, debugging and automation
                                                                          Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
                                                                          Familiarity with an agile development process

                                                                          +


                                                                          Preferred Qualification

                                                                          +

                                                                          7+ years of experience in data analytics environments
                                                                          Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
                                                                          Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
                                                                          Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
                                                                          Experience with data modeling, warehousing and building ETL pipelines
                                                                          Experience with AWS solutions - Azure data platform, experience with Azure functions and services
                                                                          Ability to test, identify and troubleshoot report and dataset issues
                                                                          General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
                                                                          ITSM + Asset/CMDB knowledge is an asset
                                                                          Dynatrace, Aternity, lakeside knowledge is an added advantage

                                                                          +


                                                                          Certifications(atleast 1):

                                                                          +

                                                                          Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
                                                                          Microsoft Certified: Power BI Data Analyst Associate PL-300

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Data-Engineer_R230016801?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-12-04T12:24:02.132Z,False,0,1,49,https://talenthub.vectorinstitute.ai/jobs/291128089-sr-data-engineer-at-bmo-financial-group,,expired,2023-11-27T12:19:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +9e35e369-7ff9-4478-b978-529f633b2391,287536657,Scotiabank,"Director, Data Analytics, Models, Data and Al Risk Management",on_site,Canada : Ontario : Toronto,2023-11-13T16:24:02.727Z,"

                                                                          -

                                                                          Location: Toronto, Ontario

                                                                          +

                                                                          Requisition ID: 188252

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -


                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
                                                                          Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in several countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.
                                                                          Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                          +

                                                                          Purpose of Job:

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -


                                                                          • Assist in the processing and validation of large volumes of financial data from various sources.
                                                                          • Collaborate with cross-functional teams to troubleshoot data discrepancies and resolve inquiries promptly.
                                                                          • Perform reconciliations between internal systems to ensure accuracy and integrity.
                                                                          • Participate in the development and implementation of process improvements related to data management and reconciliation procedures.
                                                                          • Generate reports and provide analysis to support decision-making processes.
                                                                          • Help leverage internal and external client data to facilitate opportunity identification.
                                                                          • Support adoption, change management and enhancement of our CRM (client relationship management) system.
                                                                          • Carry out ad-hoc projects and tasks as required.

                                                                          +

                                                                          The Director Data Analytics will lead a team of data, reporting, and analytical professionals to drive the information needs for Models, Data & AI Risk Management department and develop a divisional program to improve the use of data assets, automate processes related to data and report generation, and build a judicious roadmap to prioritize future state of next generation tools. Key areas of focus include:

                                                                          -

                                                                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                          -


                                                                          • You have completed your post-secondary education between April 2023 and May 2024.
                                                                          • You have advanced experience with Excel, Power BI, and SQL.
                                                                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                                                                          • You are interested in or have knowledge of the capital markets and wholesale banking business.
                                                                          • You have experience working on a major project and/or initiative in a team.
                                                                          • You are comfortable dealing with ambiguity and a matrix-based environment.
                                                                          • You have excellent written and oral communication skills.
                                                                          • You have considerable initiative, curiosity, creativity, and attention to detail.
                                                                          • You have a high level of energy, commitment, and a strong sense of teamwork.

                                                                          -


                                                                          -

                                                                          What’s in it for you?

                                                                          -


                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                          • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.

                                                                          +

                                                                          • Direct information systems and establish effective communication throughout the department.
                                                                          • Ensure data quality and transparency by identifying, collecting, and standardizing source information systems across the department meets OSFI standards.
                                                                          • Drive the ongoing development of Business Intelligence and ensure it continues to meet the evolving needs of the department.
                                                                          • Provide technological and information infrastructure necessary to assist model life cycle data marts, self-serve analytics and reporting in a timely and efficient manner.
                                                                          • Interact closely with cross functional working groups from both business and technical sides to ensure the business information system is consistent with industry best practices/standards.

                                                                          +

                                                                          Job Responsibilities:

                                                                          -

                                                                          How do I apply?

                                                                          -


                                                                          For individuals applying to our new graduate roles, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:
                                                                          1. Complete your PLUM Profile here and save as a screenshot.
                                                                          2. Complete a short one-way video interview here.
                                                                          3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                                                                          +
                                                                          • Oversee the design and development of a reporting and insights information system to assist model life cycle activities and decision making.
                                                                          • Integrate departmental information to facilitate consolidated and/or comparative data analysis while providing all necessary assist to ensure accurate, clean databases in a timely manner.
                                                                          • Achieve judicious information management, manage organization’s data architecture and infrastructure, and improve the value of data assets.
                                                                          • Design and implement standard performance tools to consistently monitor the model risk indicators (KPIs) and establish measures of success and plans to achieve targeted outcomes.
                                                                          • Contribute to and serve as an advocate for divisional information methodology, processes, and technology architecture standards and ensure constraints are widely understood across the enterprise.
                                                                          • Direct the business intelligence strategy and decision assist solutions by providing leadership and expertise in the development, communication and implementation of short and long-term plans.
                                                                          • Develop and articulate a judicious vision of future state of decision assist and business intelligence capabilities, including software, hardware, data base structures within the department’s mission.
                                                                          • Maintain a good understanding of the Bank's business strategies, policies, risk management and IT processes including working with enterprise data management office and Technology teams.
                                                                          • +Builds a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment
                                                                          • +
                                                                          +

                                                                          Job Requirements:

                                                                          -

                                                                          *To be considered for opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +
                                                                          • University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics).
                                                                          • High business acumen with understanding of regulatory and socio-economic landscapes across markets.
                                                                          • Established leadership skills with ability to lead large teams and deliver on large-scale client facing projects.
                                                                          • Solid social skills with ability to build judicious relationships and influence key stakeholders.
                                                                          • Effective communication skills with ability to prepare and deliver presentations to executive audiences.
                                                                          • Ability to communicate technical concepts to non-technical clients and articulate business needs by identifying activities which may be improved using technology.
                                                                          • Experience cleaning, transforming, and visualizing large data sets working with various data formats.
                                                                          • Hands-on experience with Big Data ecosystem tools experience using and implementing visualization tools.
                                                                          • +

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst%2C-Client-Insights-and-Analytics-New-Graduate-ON/580094217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-25T16:33:03.790Z,False,0,25,134,https://talenthub.vectorinstitute.ai/jobs/318652520-data-analyst-client-insights-and-analytics-new-graduate-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst%2C-Client-Insights-and-Analytics-New-Graduate-ON/580094217/,expired,2024-04-18T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -8da41169-bb89-4eed-9976-7e5d27052ac4,316500496,Shopify Inc.,Applied Machine Learning,full,Canada,2024-04-05T20:20:29.919Z,"

                                                                          About Shopify

                                                                          -

                                                                          Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                          -

                                                                          This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Analytics%2C-Models%2C-Data-and-Al-Risk-Management-ON-M5C2V9/575710517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-11-30T16:29:01.495Z,False,0,2,98,https://talenthub.vectorinstitute.ai/jobs/287536657-director-data-analytics-models-data-and-al-risk-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-Analytics%2C-Models%2C-Data-and-Al-Risk-Management-ON-M5C2V9/575710517/,expired,2023-11-13T16:24:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +2cb4520b-344d-4e80-91a2-cfc1da53be13,298833160,NVIDIA,Senior Developer Technology Engineer,full,Canada,2024-01-04T16:38:22.922Z,"

                                                                          We are now looking for a Senior Deep Learning Software Engineer! NVIDIA is seeking a Senior Deep Learning Engineer with broad DL knowledge! NVIDIA is rapidly growing our research and development capacity for Deep Learning and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like Instant NeRF, LLM, ChatGPT, and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team working with game developers and researchers building the future of gaming. Leverage internal and external research and methodologies to tackle important challenges. Optimize and fine tune models to run in split second real-time game applications.

                                                                          -

                                                                          About you

                                                                          -

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          -

                                                                          Before you apply, consider if you can:

                                                                          +

                                                                          What you'll be doing:

                                                                            -
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • -
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • -
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • -
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • -
                                                                          • Bring critical thought and opinion
                                                                          • -
                                                                          • Embrace differences and disagreement to get shit done and move forward
                                                                          • -
                                                                          • Work digital-first for your daily work
                                                                          • +
                                                                          • Develop DL based solutions to hard problems in our group and game development in various areas such as path tracing, image generation, model generation, trace analysis, animation, and more
                                                                          • +
                                                                          • Do performance optimization, analysis, and tune DL models to run on available resources.
                                                                          • +
                                                                          • Work with cross-collaborative teams across across the company to solve novel problems.
                                                                          • +
                                                                          +

                                                                          What we need to see:

                                                                          +
                                                                            +
                                                                          • Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).
                                                                          • +
                                                                          • 10+ years of relevant software development experience.
                                                                          • +
                                                                          • You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.
                                                                          • +
                                                                          • Experience and interest in graphics rendering, path tracing particularly.
                                                                          • +
                                                                          • Prior experience with performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.
                                                                          • +
                                                                          • GPU programming experience (CUDA or OpenCL) is a plus.

                                                                          -

                                                                          About the role

                                                                          -

                                                                          Machine Learning is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to build state of the art merchant- and buyer- facing products powered by ML.

                                                                          -

                                                                          As an Applied Machine Learning expert at Shopify, you'll be at the forefront of training and deploying ML systems at scale, directly empowering our merchants. Shopify is in a unique position to build state of the art ML systems the way they should be built with the resources of a world class e-commerce leader. The number of applications for ML systems at Shopify is vast. There are many different product lines looking for Applied ML Experts

                                                                          -

                                                                          Areas where you can contribute your ML expertise include:

                                                                          -

                                                                          Sidekick

                                                                          -

                                                                          We're looking to hire someone who can provide technical leadership as we use generative AI to create purpose-built solutions for entrepreneurs. We recently announced Sidekick (Tobi, our CEO describes it best) which is a perfect example of how AI can help our merchants succeed.

                                                                          -

                                                                          Shop

                                                                          -

                                                                          Working on our direct to consumer app (Shop), the goal is to create more value for buyers and merchants. This role is focused on building the next generation of search, discovery, trust and personalization algorithms, incorporating and evolving the state of the art techniques.

                                                                          -

                                                                          Search & Product Discovery

                                                                          -

                                                                          Shopify storefront is the front end of a Shopify store that customers interact with. It is the public-facing part of the store where customers can browse products, add items to their cart, and checkout. Work on this team focuses on helping connect buyers to products that they are interested in through the development of online discovery, search, recommendation, conversion optimization, and ranking systems.

                                                                          -

                                                                          Ads

                                                                          -

                                                                          Leveraging multiple statistical techniques, we are helping merchants allocate budgets more effectively, target specific audiences with personalized ads, and achieve improved results in terms of ROI and ad performance. More in general, we are building data products that improve the ability of our merchants to do effective advertising.

                                                                          -

                                                                          Financial Services

                                                                          -

                                                                          Shopify is building a financial services suite to power the Shopify economy and to meet our merchants financial needs. As part of this initiative, we are creating proprietary machine learning algorithms to enhance underwriting capabilities for lending products like Shopify Capital and Shopify Credit. Additionally, these algorithms will bolster fraud detection and mitigation capabilities for Shopify Balance, Bill Pay, and overall risk management for our range of products and services. This work involves redefining merchant engagement with financial tools, guiding the development of machine learning models and features that will drive the next generation of financial products offered by Shopify.

                                                                          -

                                                                          If any of the above areas appeal we’d love to hear from you.

                                                                          -

                                                                          Key outputs

                                                                          +

                                                                          GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

                                                                          +

                                                                          +

                                                                          The base salary range is 135,000 CAD - 409,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

                                                                          +

                                                                          You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Senior-Deep-Learning-Engineer_JR1975861,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-01-29T18:57:00.000Z,False,0,2,99,https://talenthub.vectorinstitute.ai/jobs/298833160-senior-developer-technology-engineer-at-nvidia,,expired,2024-01-04T16:38:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +530a1d00-9ae2-41a4-b151-d4b130bbae4e,300038090,Roche,Data Scientist Associate (Internship/Co-op),hybrid,"Mississauga, ON, Canada",2024-01-11T17:04:45.726Z,"

                                                                          The Position

                                                                          +

                                                                          Data Scientist Associate (Internship/Co-op)

                                                                          +

                                                                          Length: 8 months (required).

                                                                          +

                                                                          Position type: Full time (business hours) – Hybrid (required).

                                                                          +

                                                                          +

                                                                          This internship position is located in Mississauga. Below is a description of some of the projects an intern may expect during the course of their internship.

                                                                          +

                                                                          +

                                                                          Job Purpose

                                                                          +

                                                                          The Data Science Associate Internship role is an opportunity to be a member of an interdisciplinary scrum team responsible for designing and implementing automation-based solutions for all phases of the life cycle for R packages, Python libraries and other data science products.

                                                                          +

                                                                          Your scrum team will develop a suite of multifaceted, reusable and scalable CI/CD pipelines, both internal and open sourced, to ensure that code quality, security, and compliance are guaranteed from project inception through release. You will also play a critical role in designing and building LLM tools, frameworks, and methodologies to improve data science programming efficiency.

                                                                          +

                                                                          Job Accountabilities may include

                                                                            -
                                                                          • Developing, deploying and maintaining end-to-end machine learning systems at scale
                                                                          • -
                                                                          • Producing system design and architecture of scalable AI/ML systems
                                                                          • -
                                                                          • Designing and implementing robust data pipelines for training models and fine-tuning LLMs
                                                                          • -
                                                                          • Solving high impact data problems and delivering business impact through data and machine learning products
                                                                          • -
                                                                          • Prioritizing and communicating to technical and non-technical audiences alike
                                                                          • -
                                                                          • Mentoring senior data scientists
                                                                          • +
                                                                          • Develop scalable software solutions, data pipelines and infrastructures to facilitate integration, deployment and release of R/Python and other data science languages, including AI applications.
                                                                          • +
                                                                          • Learn and understand software development gaps our data scientists face, and propose and deliver solutions, automations and innovations to amplify their impact.
                                                                          • +
                                                                          • Continually search for opportunities to automate workflows and streamline processes.
                                                                          • +
                                                                          • Work with business stakeholders through to highly technical software engineers to identify functional needs.
                                                                          • +
                                                                          +

                                                                          Who You Are

                                                                          +

                                                                          Basic requirements

                                                                          +
                                                                            +
                                                                          • Must be currently enrolled in a graduate program in a Master level.
                                                                          • +
                                                                          • Master Degree intern majoring in Computer Science, Bioinformatics and related computational field (highly preferred in the Master of Science in Applied Computing MScAC at UofT)
                                                                          • +
                                                                          • Availability to attend the internship in a hybrid model, full time and for a minimum of 8 months length.​
                                                                          • +
                                                                          • Experience with software development workflow including versioning and code collaboration with Git, and CI/CD tools is essential.
                                                                          • +
                                                                          • Expert knowledge on the process of writing R/Python code, and a thought leader on how to automate development and and empower R/Python data science talent with tooling for writing, building, linting, and deploying their R/Python packages and libraries is essential.
                                                                          • +
                                                                          • Strong knowledge of ML concepts and understanding of ML-based product lifecycle and operations. Familiarity with ML toolkits.
                                                                          • +
                                                                          • Hands-on experience in building an automation infrastructure, tools, and frameworks for large-scale AI/ML or cloud-based applications leveraging cross-functional partnerships.
                                                                          • +
                                                                          • Demonstrated experience in evaluating and testing machine learning models. Familiarity with performance metrics, validation techniques, and statistical analysis.
                                                                          • +
                                                                          +

                                                                          Other requirements

                                                                          +
                                                                            +
                                                                          • Passion for learning and curious about drug development in the biotech industry.
                                                                          • +
                                                                          • Passion for staying up-to-date with the latest advancements in AI models and their applications.
                                                                          • +
                                                                          • Familiarity with web development principles, best practices and frameworks is strongly preferred.
                                                                          • +
                                                                          • Student organization and/or study abroad experiences are a plus.
                                                                          • +
                                                                          • Excellent communication, collaboration, and interpersonal skills.
                                                                          • +
                                                                          • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
                                                                          +

                                                                          Relocation benefits are not available for this job posting.

                                                                          -

                                                                          Qualifications

                                                                          -

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          -

                                                                          Before you apply, consider if you can:

                                                                          +

                                                                          Who we are

                                                                          +

                                                                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                          +

                                                                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                          +

                                                                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                          +

                                                                          Roche is an Equal Opportunity Employer.

                                                                          ",,https://careers.roche.com/global/en/job/202310-122911/Data-Scientist-Associate-Internship-Co-op,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-01-29T18:58:00.000Z,False,0,30,198,https://talenthub.vectorinstitute.ai/jobs/300038090-data-scientist-associate-internship-co-op-at-roche,,expired,2024-01-11T17:04:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, +69f586e4-fe8c-4ea0-8711-4fb007a6a329,302188756,RBC,Sr Data Engineer,on_site,"Toronto, ON, Canada",2024-01-23T18:47:23.026Z,"

                                                                          Job Summary

                                                                          +

                                                                          Design, implement and support Data Engineering solutions and processes across a global organization. We are looking for a Data Engineer with hands-on experience in designing and developing data platforms. As a member of a dynamic, fast paced team, this role brings strong data architecture and data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. This role requires strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times.

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • -
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • -
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • -
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • -
                                                                          • Bring critical thought and opinion — and embrace differences and disagreement to get shit done and move forward
                                                                          • -
                                                                          • Work digital-first for your daily work
                                                                          • +
                                                                          • Design Cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
                                                                          • +
                                                                          • Demonstrates outstanding understanding of Cloud (Snowflake) services especially in the data engineering and analytics space.
                                                                          • +
                                                                          • Work closely with data team, and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs.
                                                                          • +
                                                                          • Design, Develop and support new and existing batch and real-time data pipelines and recommend improvements and modifications.
                                                                          • +
                                                                          • Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.
                                                                          • +
                                                                          • Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and valuable for analytics and reporting purposes.
                                                                          • +
                                                                          • Build and implement ETL frameworks to improve code quality and reliability.
                                                                          • +
                                                                          • Ensure accuracy and consistency of data processing, results, and reporting.
                                                                          • +
                                                                          • Leverage your experience to drive best practices in ML and data engineering.
                                                                          • +
                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          Must Have

                                                                          +
                                                                            +
                                                                          • A minimum of 5 years of hands-on Data Engineer experience, with a proven track record of delivering data solutions.
                                                                          • +
                                                                          • 3+ years of hands-on experience in system integration, data and cloud architecture (Snowflake and Azure), and technologies.
                                                                          • +
                                                                          • Solid Experience in building and optimizing data pipelines, architectures, and data sets.
                                                                          • +
                                                                          • Solid grasp/experience with data technologies & tools (Hadoop, PySpark, etc.)
                                                                          • +
                                                                          • Experience with full end-to-end data solutions, including assessment of data needs, data modelling, and data visualizations
                                                                          • +
                                                                          • Proficiency in programming languages such as Python and SQL.
                                                                          • +
                                                                          • Strong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.
                                                                          • +
                                                                          • Defining and building scalable ETL/ELT workflows for reporting and analytics.
                                                                          • +
                                                                          • Developing scripts and programs for converting various types of data into usable formats.
                                                                          • +
                                                                          • Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.
                                                                          • +
                                                                          • Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.
                                                                          • +
                                                                          +

                                                                          Nice to Have

                                                                          +
                                                                            +
                                                                          • PhD or master’s degree in Statistics, Mathematics, or Computer Science.
                                                                          • +
                                                                          • Knowledge of machine learning algorithms and their implementation.
                                                                          • +
                                                                          • Experience with Business Intelligence and Data Warehouse overall design.
                                                                          • +
                                                                          • Experience working in a financial institution
                                                                          • +
                                                                          +

                                                                          Job Skills

                                                                          +

                                                                          Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Problem Solving, Quality Management, Requirements Analysis

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          +

                                                                          180 WELLINGTON ST W:TORONTO

                                                                          +

                                                                          City:

                                                                          +

                                                                          TORONTO

                                                                          +

                                                                          Country:

                                                                          +

                                                                          Canada

                                                                          +

                                                                          Work hours/week:

                                                                          +

                                                                          37.5

                                                                          +

                                                                          Employment Type:

                                                                          +

                                                                          Full time

                                                                          +

                                                                          Platform:

                                                                          +

                                                                          Wealth Management

                                                                          +

                                                                          Job Type:

                                                                          +

                                                                          Regular

                                                                          +

                                                                          Pay Type:

                                                                          +

                                                                          Salaried

                                                                          +

                                                                          Posted Date:

                                                                          +

                                                                          2024-01-15

                                                                          +

                                                                          Application Deadline:

                                                                          +

                                                                          2024-01-27

                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000076286/Sr-Data-Engineer,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-01-29T18:59:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/302188756-sr-data-engineer-at-rbc,,expired,2024-01-23T18:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0baba59a-3fbe-41c9-8347-1ed9542d1a0e,302188946,RBC,2024 Summer Student - Data/ML Engineering Intern (12 months),on_site,"Toronto, ON, Canada",2024-01-23T18:51:31.138Z,"

                                                                          Job Summary

                                                                          +

                                                                          Participates in and supports the operational activities of a business unit. Applies experience and complete working knowledge of the job and policies/practices to perform a combination of routine tasks and varied administrative/operational assignments.

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          Please note: This posting is for a 12-16 month Student Summer 2024 placement with a start date of May 2024 and end-date of April/August 2025. In order to be eligible for this 12-16 month Student position, you must either:

                                                                          +
                                                                            +
                                                                          • Be returning back to school after the work term end-date of April/August 2025; or
                                                                          • +
                                                                          • If you are not returning back to school (i.e. are graduating in April/August 2024), but you require the work term as a mandatory component to in order to graduate successfully (i.e. PEY program).
                                                                          • +
                                                                          +

                                                                          Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

                                                                          +

                                                                          Job Description Summary

                                                                          +

                                                                          The Next Best Action team here at RBC, which is part of the Personal and Commercial Banking organization, is responsible for running day-to-day marketing campaigns and marketing experiments for our banking clients. Our Data Innovation team is the responsible for maintaining the ecosystem that runs daily that drives our NBO or “Next Best Offer” initiative. Our ecosystem is a mix of big data pipelines, machine learning models, full stack (front-end and back-end) applications and microservices. We are looking for an intern to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank to evolve our Next Best Offer ecosystem into Next Best Action ecosystem. In addition, we believe this is an awesome opportunity to learn about a different production system within the marketing sector, a unique blend of a start-up within a large organization, as well as an opportunity to learn and flex into different areas of the ecosystems or additional projects of interest.

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          • Evolve the existing machine learning system to be make machine learning processes scale to be quicker, more reliable and if applicable autonomous or semi-autonomous

                                                                          +

                                                                          • Manage, optimize, oversee and monitor data & model pipelines as well as the UI used to inform client decisions related to Next Best Offer/Action recommendations

                                                                          +

                                                                          • You will play an integral role in engaging your critical thinking, time management and design skills within your team

                                                                          +

                                                                          Must haves:

                                                                          +

                                                                          • Experience with a programming language like Java, Python, C++, Scala or equivalent

                                                                          +

                                                                          • Knowledge of SQL and relational databases like MySQL, Postgres, SQL server or equivalent

                                                                          +

                                                                          • Basic understanding of machine learning models and its applications

                                                                          +

                                                                          • Basic experience with HTML, CSS, a front-end framework like Angular; React or equivalent

                                                                          +

                                                                          • Experience simplifying and automating work and making things better for clients

                                                                          +

                                                                          • A curiosity and passion for continuous learning and helping others

                                                                          +

                                                                          • Understanding of software engineering practices and designing solutions with the user's experience in mind

                                                                          +

                                                                          • Able to create test execution plans and to ensure code delivered is working as expected

                                                                          +

                                                                          • Excellent teamwork and collaboration skills

                                                                          +

                                                                          Nice to haves:

                                                                          +

                                                                          • Knowledge of public cloud (Azure, AWS, GCP, OpenShift or equivalent) platforms and development of applications in multi-cloud, hybrid environments is preferred

                                                                          +

                                                                          • Experience with big data processes (Spark) including batch processing and/or real-time streaming technologies is preferred

                                                                          +

                                                                          • Experience with other database technologies (noSQL, graph databases etc) is an asset

                                                                          +

                                                                          • Experience with continuous integration and development tools is an asset

                                                                          +

                                                                          • Background in development in mobile or web development is an asset Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is an asset

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • Opportunity to be a valued member of a critical team.
                                                                          • +
                                                                          • Exposure to stakeholders across multiple businesses.
                                                                          • +
                                                                          • Interesting, complex work that makes a difference in people’s lives.
                                                                          • +
                                                                          • A collaborative culture that recognizes innovative business ideas.
                                                                          • +
                                                                          • Access to various programs, resources, and technology.
                                                                          -

                                                                          -

                                                                          We know that applying to a new role takes a lot of work and we truly value your time. Nicole

                                                                          -

                                                                          is looking forward to reading your application. Please send us a few samples of your work: portfolio, wireframes, UX flows, publications, or whatever represents what you do best.

                                                                          -

                                                                          At Shopify, we are committed to building and fostering an environment where our employees

                                                                          -

                                                                          feel included, valued, and heard. Our belief is that a strong commitment to diversity and

                                                                          -

                                                                          inclusion enables us to truly make commerce better for everyone. We strongly encourage

                                                                          -

                                                                          applications from Indigenous peoples, racialized people, people with disabilities, people from

                                                                          -

                                                                          gender and sexually diverse communities and/or people with intersectional identities.

                                                                          ",,https://www.shopify.com/careers/applied-machine-learning_a7c10973-9fbc-4e1c-a39b-334ef465f879,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-29T20:12:00.000Z,False,0,52,213,https://talenthub.vectorinstitute.ai/jobs/316500496-applied-machine-learning-at-shopify-inc,,expired,2024-04-05T20:20:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, -8a575cdc-1756-45d5-afa2-4e0dc8719df9,319803099,KPMG,"Manager, Data and Analytics ( Global People, Digital HR)",on_site,"Toronto, Canada",2024-04-25T16:33:02.599Z,"Overview

                                                                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                          The Opportunity

                                                                          The Manager – Data and Analytics is a process SME role is to lead the business-as-usual support and operations of the global People Identity Management System and work and effectively contribute to the cross-business and cross-product data and reporting-related projects and initiatives in Global People.


                                                                          What you will do

                                                                            -
                                                                          • Serving a product SME for the global people identity management system and leading the day-to-day support and operations of the service working closely with the off-shore support team. Engaging with Member Firms and global stakeholders for product and service feedback, change requests, issue resolution, etc
                                                                          • -
                                                                          • Advising and supporting the Digital HR Data Lead and the Data Working Group on technology solutions to inform and support the development of global strategies, policies and processes for the effective data-driven development of people across KPMG
                                                                          • -
                                                                          • Translating business processes and requirements into appropriate technology solutions to enable and support the deployment and adoption of agreed global policies and processes
                                                                          • -
                                                                          • Working closely with the Digital HR Data Lead and Global Head of People Technology Support Services, ITSG, and Global Data Office on the data and analytics projects aimed to deliver the consistent and coherent data management and insights solution across solutions and products
                                                                          • -
                                                                          • Stakeholder engagement & management across the network to promote awareness of Global Technologies; and promote consistency of adoption and usage
                                                                          • -
                                                                          • Assure compliance for Data and Analytics technologies in regard to internal procurement policies; and required information security and data protection rules and regulations
                                                                          • -
                                                                          • -

                                                                          What you bring to the role

                                                                            -
                                                                          • Bachelor’s degree and/or equivalent work experience
                                                                          • -
                                                                          • Strong knowledge and experience of implementing data-driven HR and Identity business operations and processes
                                                                          • -
                                                                          • Proven experience in delivering effective outcomes through others, and working within a matrix organization
                                                                          • -
                                                                          • Ability to work across cultures and build strong relationships
                                                                          • -
                                                                          • Comfortable with complexity and finding a new path or solution coupled with strong business acumen
                                                                          • -
                                                                          • Proven experience in the use of data and analytics to resolve issues and identify and develop service improvements and enhancements
                                                                          • -
                                                                          • Proven problem-solving skills; ability to drive through to solution in circumstances of complexity and ambiguity
                                                                          • -
                                                                          • Ability to deliver under difficult conditions and demonstrated balanced judgment under pressure
                                                                          • -
                                                                          • Strong business integrity and ability to hold sensitive information in confidence
                                                                          • -
                                                                          • Knowledge and experience of project methodologies and standards, in particular for development and implementation of Cloud technologies
                                                                          • -
                                                                          • Strong Business Analysis skills & experience
                                                                          • -
                                                                          • Strong enterprise data management and analysis knowledge (data architecture, data flows, data transformation, etc.)
                                                                          • -
                                                                          • Strong enterprise identity management knowledge (Identity Governance, Identity Management, Azure Active Directory, etc.)
                                                                          • -
                                                                          • SQL, Excel, Python (Pandas or equivalent for concepting, no actual development), Data Architecture Diagrams (UML, Visio).
                                                                          • -

                                                                          Keys to your success

                                                                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                          Providing you with the support you need to be at your best

                                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                          Our Values, The KPMG Way

                                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                          Adjustments and accommodations throughout the recruitment process

                                                                          At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                                                          To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                                                          For information about accessible employment at KPMG, please visit our accessibility page.

                                                                          ",,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-05-02T16:38:01.978Z,False,0,9,59,https://talenthub.vectorinstitute.ai/jobs/319803099-manager-data-and-analytics-global-people-digital-hr-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,expired,2024-04-25T16:33:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -c9dda2b1-b8a2-41c1-a001-6b2af7788c27,328652246,Scotiabank,Data Analyst / Modeler Advisory,on_site,Canada : Ontario : Toronto,2024-06-13T16:28:02.694Z,"

                                                                          -

                                                                          +

                                                                          Job Skills

                                                                          +

                                                                          Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Taking Initiative

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          +

                                                                          RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                          +

                                                                          City:

                                                                          +

                                                                          TORONTO

                                                                          +

                                                                          Country:

                                                                          +

                                                                          Canada

                                                                          +

                                                                          Work hours/week:

                                                                          +

                                                                          37.5

                                                                          +

                                                                          Employment Type:

                                                                          +

                                                                          Full time

                                                                          +

                                                                          Platform:

                                                                          +

                                                                          Personal and Commercial Banking

                                                                          +

                                                                          Job Type:

                                                                          +

                                                                          Student/Coop (Fixed Term)

                                                                          +

                                                                          Pay Type:

                                                                          +

                                                                          Salaried

                                                                          +

                                                                          Posted Date:

                                                                          +

                                                                          2024-01-18

                                                                          +

                                                                          Application Deadline:

                                                                          +

                                                                          2024-01-28

                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000076666/2024-Summer-Student-Data-ML-Engineering-Intern-12-months,aitalent@vectorinstitute.ai,https://jobs.rbc.com/ca/en/,,,2024-01-29T18:59:00.000Z,False,0,11,79,https://talenthub.vectorinstitute.ai/jobs/302188946-2024-summer-student-data-ml-engineering-intern-12-months-at-rbc,,expired,2024-01-23T18:51:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +d5d19ba7-05af-4026-bc64-9489fd66a15f,295867488,Scotiabank,Velocity - Global Risk Management Internship/Co-op - Summer 2024 (graduating prior to Summer 2025),on_site,Canada : Ontario : Toronto,2023-12-18T16:26:02.164Z,"

                                                                          -

                                                                          Requisition ID: 201119

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Data Analyst Advisory:

                                                                          +

                                                                          Requisition ID: 189984

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          We are looking for an experienced Data Analyst to join our team.

                                                                          +

                                                                          Velocity – Global Risk Management Internship/Co-Op – Summer 2024 (for students graduating prior to Summer 2025)

                                                                          +

                                                                          Term: May-August 2024

                                                                          +

                                                                          Application Deadline: 01/26/2024

                                                                          -

                                                                          Is this role right for you? In this role you will:

                                                                          +

                                                                          There's no better way to kickstart your career than to do a co-op or internship followed by a new graduate program with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). Once you have completed your Velocity co-op term with strong performance, we would like to invite you back after graduation to join the Activate New Graduate Development Program where you will be able to further grow your career within Global Risk Management!

                                                                          -
                                                                          • Work with business users to obtain data requirements and analyze source systems data.

                                                                          • Design and develop conceptual, logical and physical data models for the operational and analytical databases

                                                                          • Work closely with the technical and application architects, and developers to implement the solution architecture

                                                                          • Communicate physical database designs to, and work with, database administrator to implement databases

                                                                          • Document data flows, identify appropriate data sources, entities, relationships and redundancies

                                                                          • Manage data integrity and data quality.

                                                                          • +

                                                                            +
                                                                            • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. You’ll be part of a diverse, collaborative, innovative, and high-performing team. You will receive in-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed! As a Velocity student you have access to exclusive events such as Velocity Day, Community Day, Lunch & Learns, leadership panels, and much more!
                                                                            -
                                                                            • Maintain technical & business metadata. Generate metadata for Hadoop ingestion for different frameworks.

                                                                            • Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available

                                                                            • Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality

                                                                            • Support data strategies, standards, guidelines data quality process and governance across the enterprise

                                                                            • Provide leadership in researching and architecting emerging technology solutions to meet business objectives

                                                                            • +

                                                                              +
                                                                              • The Activate New Graduate Development Program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. As an Associate in the Activate, GRM stream you will spend 12-months rotating to pre-determined areas that will challenge you. You’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.
                                                                              -

                                                                              -

                                                                              Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                              -

                                                                              -
                                                                              • Relational and dimensional data modeling and database design, Erwin (Data modeling) skills.

                                                                              • Strong SQL and and Hive (Hadoop) experience.

                                                                              • Knowledge of data architectural approaches, patterns and emerging technologies (RDBMS, Hadoop and Cloud)

                                                                              • Ability to translate business needs into technical solutions. Strong Analytical skills.

                                                                              • Experience creating architecture and strategy artifacts

                                                                              • Experience of XML, JSON, Copybook, CSV files ingestion

                                                                              • Experience working in Agile environment

                                                                              • Domain Knowledge in financial Services and enterprise functions

                                                                              • Knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products

                                                                              • Knowledge of Data Governance process for metadata and lineage management

                                                                              • +

                                                                                +

                                                                                What is Global Risk Management?

                                                                                +

                                                                                +

                                                                                Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to an interest in capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                                                                                +

                                                                                +

                                                                                About the GRM, Business Banking Credit Risk Stream:

                                                                                +

                                                                                The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                                                                                +

                                                                                +

                                                                                About the GRM, Enterprise Risk Stream:

                                                                                +

                                                                                GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                                                                                +

                                                                                +

                                                                                About the GRM, Market Risk Stream:

                                                                                +

                                                                                The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                                                                                +

                                                                                +

                                                                                About the GRM, Retail Credit Risk Stream:

                                                                                +

                                                                                The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                                                                                +

                                                                                +

                                                                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                                +
                                                                                • You are working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Risk Management, Finance, Economics or related discipline with an expected graduation date prior to June 2025.
                                                                                • You are passionate about launching your career in Risk Management through the Activate Program after graduation.
                                                                                • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices.
                                                                                • Knowledge of Python, SQL, VBA, MS Office.
                                                                                • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner.
                                                                                • Attention to detail with a strong ability to multi-task while maintaining a high work standard.
                                                                                • Demonstrated flexibility in adapting to constantly changing environments.
                                                                                -

                                                                                -

                                                                                What's in it for you?

                                                                                -

                                                                                -
                                                                                • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                                                                                • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                                                                                • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                                                                                • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                                                                                • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                                                                                • +

                                                                                  +

                                                                                  +

                                                                                  What’s in it for you?

                                                                                  +
                                                                                  • The opportunity to be an early applicant to our Activate New Graduate program within the Global Risk Management stream, and receive an offer before your Summer 2024 internship is even over (receiving an offer would be based on your internship/co-op evaluation)
                                                                                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                                  +

                                                                                  +

                                                                                  +

                                                                                  +

                                                                                  How do I apply?

                                                                                  +

                                                                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                                  +

                                                                                  +
                                                                                  1. Complete your PLUM Profile here and save as a screenshot.
                                                                                  2. Complete a short one-way video interview here.
                                                                                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                                                                  4. +

                                                                                  -

                                                                                  Work arrangements: Hybrid

                                                                                  -

                                                                                  -

                                                                                  #LI-Hybrid

                                                                                  +

                                                                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                                  -

                                                                                  Location(s): Canada : Ontario : Toronto

                                                                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Modeler-Advisory-ON-M1L4S2/581826817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-20T16:33:03.504Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/328652246-data-analyst-modeler-advisory-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Modeler-Advisory-ON-M1L4S2/581826817/,expired,2024-06-13T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -97213024-3add-4945-b488-287ba83daf80,327487537,BMO Financial Group,Lead AML Data Analyst,on_site,"Ontario, Canada",2024-06-07T01:07:02.888Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          06/19/2024

                                                                          -

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          Hybrid environment: 2 days a week in Toronto (FCP First Canadian Place-Office - 100 King St W, Toronto, ON).

                                                                          -

                                                                          -

                                                                          -

                                                                          The Lead AML Data Analyst will support the implementation of advanced data analytical solutions within the AML Enterprise group. In this role, you will collaborate with other AML teams, business partners and technical teams to dissect business problems, conduct research and analysis, structure data and build ad-hoc and/or strategic solutions to support business driven decisions. This includes preparation and investigation of data to support multiple lines of business across the enterprise to help them achieve their objectives.

                                                                          -
                                                                            -
                                                                          • Acts as a trusted SME under AML Data Management team and support the execution of strategic initiatives in collaboration with business and technology stakeholders to implement effective data solutions.
                                                                          • -
                                                                          • Leads/participates in the requirements, analysis, design, and validation on assigned initiatives.
                                                                          • -
                                                                          -
                                                                            -
                                                                          • Gathers, examines, and interprets data and information to extract meaningful insights, answers business questions and provides actionable recommendations.
                                                                          • -
                                                                          • Presents and communicates effectively across all business units.
                                                                          • -
                                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                                          • -
                                                                          -
                                                                            -
                                                                          • Designs, develops, and implements reporting solutions to meet business and regulatory reporting requirements.
                                                                          • -
                                                                          • Builds effective relationships and communications with internal/external stakeholders.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Qualifications:

                                                                          -
                                                                            -
                                                                          • Typically, 8+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Advanced data analytics with strong relational databases and SQL knowledge is a must.
                                                                          • -
                                                                          • Able to work independently, resolving complex or ambiguous issues or situations.
                                                                          • -
                                                                          • Able to handle multiple assignments simultaneously and work efficiently in a fast-paced environment.
                                                                          • -
                                                                          • Strong understanding of financial instruments on one or more business units – Personal and Commercial, Wealth, and Capital Markets.
                                                                          • -
                                                                          • AML/fraud analysis knowledge or ACAMS designation would be an asset.
                                                                          • -
                                                                          • Experience working with technologies including ETL, SAS, or Python would be an asset.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • -
                                                                          • Collaboration & team skills - In-depth.
                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • -
                                                                          • Influence skills - In-depth.
                                                                          • -
                                                                          • Data driven decision making - In-depth.
                                                                          • -
                                                                          • Microsoft Office Suite – In-depth.
                                                                          • -
                                                                          • Technically savvy and ability to learn quickly.
                                                                          • -
                                                                          -
                                                                          -

                                                                          -

                                                                          Compensation and Benefits:

                                                                          -
                                                                          $81,600.00 - $151,200.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Lead-AML-Data-Analyst_R240014759?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-20T20:27:00.000Z,False,0,6,36,https://talenthub.vectorinstitute.ai/jobs/327487537-lead-aml-data-analyst-at-bmo-financial-group,,expired,2024-06-07T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -7e46504a-5046-45ed-a18c-742b067b8c6f,328719667,BMO Financial Group,Manager - Virtual Connect Analytics,on_site,"Ontario, Canada",2024-06-14T01:07:01.522Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          06/19/2024

                                                                          -

                                                                          -

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          As a Manager, BMO Virtual Connect Analytics, you will be responsible to apply data analytics and strategy to identify opportunities for optimizing operational efficiency, channel optimization, driving sales and revenue growth, and enhancing customer as well as employee experience for various departments within BMO Virtual Connect, including, but not limited to Business Banking, Treasury Payment, Small Business. Leveraging your expertise in data analytics, you will collaborate with cross-functional teams to extract actionable insights from various datasets related to customer segments, call center operations and sales performance. Your findings and recommendations will directly contribute to strategic decision-making processes aimed at improving overall business performance and customer satisfaction.

                                                                          -

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Summer-2024-%28graduating-prior-to-Summer-2025%29-ON/576594417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-01-29T16:31:03.780Z,False,0,4,72,https://talenthub.vectorinstitute.ai/jobs/295867488-velocity-global-risk-management-internship-co-op-summer-2024-graduating-prior-to-summer-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Summer-2024-%28graduating-prior-to-Summer-2025%29-ON/576594417/,expired,2023-12-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +63cf2fbf-97db-445a-9a12-6e771db74252,298833080,TD Bank Group,Canadian Personal Banking (CPB) Model&Tools Governance Analyst Intern,on_site,"Toronto, ON",2024-01-04T16:28:14.737Z,"
                                                                          +

                                                                          Campus Role Type

                                                                          +
                                                                          Internship/Co-Op and Summer Opportunities

                                                                          -

                                                                          Key Responsibilities:

                                                                          -

                                                                          +

                                                                          Start Date

                                                                          +
                                                                          Summer

                                                                          -

                                                                          Analytical Capabilities & Critical Thinking

                                                                          +

                                                                          Department Overview

                                                                          +
                                                                          +

                                                                          Business Description – ‘What we do’

                                                                            -
                                                                          • Understand business KPIs, relevant drivers and factors that can help reach business objectives for teams such as Business Banking, Small Business and Treasury Payment Solutions and more.
                                                                          • -
                                                                          • Design, develop, and implement innovative analytical solutions; and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.
                                                                          • -
                                                                          • Development and execution of strategic analytical solutions & reporting initiatives based on an understanding of the business strategy and stakeholder needs.
                                                                          • -
                                                                          • Break down strategic problems and, analyze data and information to provide subject matter insights and recommendations.
                                                                          • -
                                                                          • Work with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools.
                                                                          • -
                                                                          • Demonstrate ownership and accountability to identify opportunities as well as implement and evaluate initiatives aimed at enhancing call center efficiency and sales effectiveness.
                                                                          • +
                                                                          • Foster a strong, robust, reliable, and sustainable Governance & Control environment for models and tools, while supporting and enabling business growth within TD’s risk appetite and regulatory expectations.
                                                                          • +
                                                                          • Foster an effective and transparent culture of model and tools risk awareness as well as evaluate business strategy and activities against risk appetite.
                                                                          • +
                                                                          • Support the Business in the identification, assessment, mitigation and overall management of current and emerging model and tools risks in business processes, operations, and initiatives to comply with regulatory and policy requirements.
                                                                          • +
                                                                          • Collaborate with the Business to maintain processes to identify, track and resolve model and tools related issues expediently and effectively. Identify and report trends/areas of increasing model and tools risk and support decision-making/mitigation.
                                                                          • +
                                                                          • Support model and tools related exams, reviews, and findings with second and third lines of defense risk and control partners as well as external parties. Identify trends/areas of increasing model and tools risk and support decision-making/mitigation.
                                                                          • +
                                                                          • Establish and maintain Models & Tools Governance Framework and oversee lifecycle activities –conceptualization, development, validation, implementation, ongoing maintenance, and performance monitoring, retirement
                                                                          • +
                                                                          • Develop and maintain a complete and accurate Inventory Lists for CPB Models & Tools
                                                                          • +
                                                                          • Define and maintain appropriate guidelines to ensure that CPB is compliant with Enterprise policies and standards relating to models and tools
                                                                          • +
                                                                          • Provide models and tools governance subject matter expertise to business to support their risk
                                                                          • +
                                                                          • management practices
                                                                          • +
                                                                          • Streamline CPB models and tools processes, driving efficiency and consistency in processes/approaches and technology/tools, where possible. Be continuous improvement minded, seeking/pursuing new ways of working, where appropriate.
                                                                          • +
                                                                          • Provide trusted and reliable model and tool reporting to senior leadership and risk and control partners on the state of risks, controls and outcomes..
                                                                          -

                                                                          -

                                                                          Data Analytics and Best Practices

                                                                          +

                                                                          Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                                                          +

                                                                          Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                                                            -
                                                                          • Gather, organize, and analyze large, complex datasets (from multiple sources: both structured and unstructured) from customer data, call logs, sales data, and other relevant sources.
                                                                          • -
                                                                          • Utilize statistical methods and analytical techniques to uncover trends, patterns, and correlations within the data.
                                                                          • -
                                                                          • Identify key drivers impacting call center efficiency, sales productivity, and customer satisfaction; and perform in-depth analysis to provide actionable, data-driven insights and recommendations.
                                                                          • -
                                                                          • Proactively identify opportunities for process improvements, cost reductions, and revenue optimization based on data analysis.
                                                                          • -
                                                                          • Be a practitioner of data best practices including QA for data accuracy and integrity, stable design, code optimization, and automation techniques.
                                                                          • -
                                                                          • Document and maintain operational procedures and processes relating to analytical and reporting processes.
                                                                          • +
                                                                          • Leadership talks with key Leaders from across the organization
                                                                          • +
                                                                          • Lunch and Learns on topics such as Innovation
                                                                          • +
                                                                          • Diversity and Inclusion and Personal Branding and so much more
                                                                          +

                                                                          -

                                                                          Reporting and Visualization:

                                                                          -
                                                                            -
                                                                          • Develop, maintain, and monitor comprehensive customized reports, dashboards, and data visualizations based on partner needs and communicate data driven insights effectively to stakeholders.
                                                                          • -
                                                                          • Present insights and recommendations to peers as well as Senior Leadership in a clear, concise manner to facilitate data-driven decision-making processes.
                                                                          • -
                                                                          • Develop and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                          • -
                                                                          • Integrate information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Cross-Functional Collaboration:

                                                                          +

                                                                          Job Details

                                                                          +
                                                                          +

                                                                          What are the Intern responsibilities?
                                                                          The intern would work closely with the manager and Senior Manager, CPB Models & Tools Governance to support the following:

                                                                            -
                                                                          • Collaborate with cross-functional teams to implement and evaluate initiatives aimed at enhancing call center efficiency and sales effectiveness.
                                                                          • -
                                                                          • Build effective relationships with internal/external stakeholders and function as a subject matter expert on data analytics, providing guidance and support to stakeholders across the organization.
                                                                          • +
                                                                          • Execute activities required to ensure completeness of CPB Model and Tools Inventory
                                                                          • +
                                                                          • Review data populated in the Tools Inventory to ensure consistency across all Business
                                                                          -

                                                                          -

                                                                          Risk Management

                                                                          -
                                                                          • Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements.
                                                                          -

                                                                          -

                                                                          -

                                                                          Qualifications:

                                                                          +
                                                                          • Develop templates required to maintain compliance to End User Computing (EUC) Standard and other enterprise standards and guidelines
                                                                            -
                                                                          • Bachelor\'s degree in Mathematics, Statistics, Computer Science, Economics, or a related field of study. Advanced degree preferred.
                                                                          • -
                                                                          • Typically, 5-7 years of relevant work experience in data manipulation and analysis, preferably in an analytics-driven environment. Familiarity with banking processes, call center software, and sales analytics platforms is a plus.
                                                                          • -
                                                                          • Knowledge and deep understanding around Business Banking process, products and services is a plus.
                                                                          • -
                                                                          • Proficiency in MS Office products and data analytics, data visualization and statistical tool sets including but not limited to SQL, SAS, R, Python, SPSS, Spotfire, Tableau, Power BI
                                                                          • -
                                                                          • Strong analytical, problem-solving, and data-driven decision-making skills.
                                                                          • -
                                                                          • Initiative-taking approach to identifying and addressing business challenges.
                                                                          • -
                                                                          • Meticulous mindset with a focus on accuracy and precision.
                                                                          • -
                                                                          • Excellent verbal and written communication, and presentation skills, with the ability to convey technical concepts to non-technical audiences.
                                                                          • -
                                                                          • Ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
                                                                          • -
                                                                          • Ability to plan, organize and work on multiple tasks simultaneously whilst taking ownership and accountability. -
                                                                          • -
                                                                          • Proven experience and proficiency in Creative Thinking, Data storytelling, Decision Making and end-to-end project management.
                                                                          • +
                                                                          • Identify opportunities to create efficiency around the management of our Tools Inventory
                                                                          • +
                                                                          • Identify appropriate data points to support a complete and accurate inventory of models and tools
                                                                          • +
                                                                          • Identify and complete missing information relating to CPB Inventory of models and tools
                                                                          • +
                                                                          • Perform Data analysis to support reporting on M&T
                                                                          • +
                                                                          • Execute any other activities that maybe assigned to support the overall function relating to Models and Tools governance
                                                                          • +
                                                                          • Review and understand the Enterprise governance policies, guidelines etc. that relate to Tools and provide input for opportunities to enhance CPB compliance to those policies, guidelines
                                                                          -
                                                                          -

                                                                          -

                                                                          Compensation and Benefits:

                                                                          -
                                                                          $68,000.00 - $126,000.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager---Virtual-Connect-Analytics_R240011456-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-20T20:28:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/328719667-manager-virtual-connect-analytics-at-bmo-financial-group,,expired,2024-06-14T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -ff298f4f-25f6-4dc3-8b29-dd596afcdb03,303979392,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-02-02T06:38:02.462Z,"
                                                                          -
                                                                          -

                                                                          What\'s the opportunity?

                                                                          -

                                                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                          -

                                                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                          -
                                                                          -
                                                                          -

                                                                          Your responsibilities include:

                                                                          -
                                                                            -
                                                                          • Developing novel AI solutions that facilitate impactful products;
                                                                          • -
                                                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                          • -
                                                                          • Working with the development team to transfer research work into production;
                                                                          • -
                                                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                          • -
                                                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          You’re our ideal candidate if you have:

                                                                          -
                                                                            -
                                                                          • A passion for solving open problems using data and algorithms;
                                                                          • -
                                                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                          • -
                                                                          • Ability to formulate and drive a research project independently without close supervision;
                                                                          • -
                                                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                          • -
                                                                          -
                                                                          -

                                                                          What’s in it for you?

                                                                          -
                                                                          +

                                                                          +

                                                                          Job Requirements

                                                                          +
                                                                          +
                                                                          • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                                                                            -
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • -
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                          • Business and financial acumen
                                                                          • +
                                                                          • Analytical skills
                                                                          • +
                                                                          • Superior communication and presentation skills
                                                                          • +
                                                                          • Comfort with working in a culture of change and navigating a matrix environment
                                                                          • +
                                                                          • Collaborate and negotiate solutions with a variety of stakeholders
                                                                          • +
                                                                          • Flexibility to adapt and manage within a fast-paced, dynamic business environment
                                                                          • +
                                                                          • Ability to learn and apply business knowledge to execute different activities related to the role
                                                                          • +
                                                                          • Experience analyzing large amount of data and information to support conclusions
                                                                          • +
                                                                          • Risk and control mindset
                                                                          • +
                                                                          • Self-driven
                                                                          • +
                                                                          • Great organization skill
                                                                          -

                                                                          About Borealis AI

                                                                          -
                                                                          -
                                                                          -

                                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                          -
                                                                          -
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-03-06T21:17:01.425Z,False,0,21,127,https://talenthub.vectorinstitute.ai/jobs/303979392-machine-learning-researcher-at-borealis-ai,,expired,2024-02-02T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -32fe5453-91a5-45a8-9729-139c03b604f2,304480143,Cohere AI,"Tech Lead Manager, Model Efficiency",on_site,"Toronto, ON, Canada",2024-02-04T16:34:02.982Z,"
                                                                          -
                                                                          Who are we?
                                                                          -
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          -

                                                                          -
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          -

                                                                          -
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          -

                                                                          -
                                                                          Join us on our mission and shape the future!
                                                                          -

                                                                          -
                                                                          Why this role?
                                                                          -

                                                                          -
                                                                          The Model Efficiency team advances Cohere base models’ speed, reduces model size, and increases compute efficiency through improving model architecture and optimizing ML frameworks.
                                                                          -

                                                                          -
                                                                          -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. -
                                                                          -
                                                                          -

                                                                          As a Tech Lead Manager, Model Efficiency, you will:

                                                                          -
                                                                              -
                                                                            • Drive the team: hire, mentor, and coach team members.
                                                                            • -
                                                                            • Own the team's technical strategy and roadmap by setting metrics, and product-focused goals.
                                                                            • -
                                                                            • Have a deep understanding of ML accelerators, model architectures, and how to optimize their model performance on accelerators for inference.
                                                                            • -
                                                                            • Work with product managers, tech leads, and machine learning engineers to build out engineering plans or capture requirements.
                                                                            • -
                                                                            • Manage the team's workload and priorities, ensuring timely delivery of projects.
                                                                            • -
                                                                            • Mentor and coach team members, providing guidance on technical and career development.
                                                                            • -
                                                                          -
                                                                          -

                                                                          You may be a good fit if:

                                                                          -
                                                                              -
                                                                            • You have a proven track record as a people leader (3+ years of experience in engineering management); you are passionate about building rapport with your team and you prioritize 1:1s.
                                                                            • -
                                                                            • You have hands-on experience with large language models (LLMs).
                                                                            • -
                                                                            • You have experience developing large foundation models, distributed training infrastructure, and/or inference frameworks.
                                                                            • -
                                                                            • You have excellent presentation and communication skills; comfortable explaining technical topics to non-technical users or members of other teams.
                                                                            • -
                                                                            • You are passionate about recruiting, growing people and teams.
                                                                            • -
                                                                            • You are comfortable with leading multiple projects and adjusting processes quickly when priorities change.
                                                                            • -
                                                                          -
                                                                          -

                                                                          -

                                                                          -
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          -

                                                                          -
                                                                          We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                                                                          -

                                                                          -
                                                                          Our Perks:
                                                                          -
                                                                          🤝 An open and inclusive culture and work environment
                                                                          -
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          -
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          -
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          -
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          -
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          -
                                                                          🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
                                                                          -
                                                                          ✈️ 6 weeks of vacation
                                                                          -

                                                                          -
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          -
                                                                          ",,https://jobs.lever.co/cohere/a9457811-9733-4e93-a495-802775e06460,feed-importer@jobboard.io,,,,2024-02-29T16:39:03.048Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/304480143-tech-lead-manager-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/a9457811-9733-4e93-a495-802775e06460,expired,2024-02-04T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Team Lead,No Degree,New Posting, -060acf13-3b36-44e2-956a-3115b3c6c9ba,303930359,NVIDIA,3D Reconstruction Research Engineering Intern - Summer 2024,on_site,"Toronto, ON, Canada",2024-02-02T01:54:49.614Z,"

                                                                          We're Hiring a 3D Reconstruction Research Engineering Intern!

                                                                          -

                                                                          -

                                                                          NVIDIA is searching for a world-class intern to join our 3D Reconstruction team, building tools and technologies to help our research teams working at the cutting edge of applying Neural Graphics techniques to create 3D worlds from real world sensor data. Our team works closely with both researchers and Omniverse developers team to enable new 3D Deep Learning methods as well as to bring that work into real world products with applications to simulation, autonomous driving, and robotics. The ideal candidate will be involved in research at the intersection of Machine Learning, Computer Graphics and Computer Vision, with a passion for turning that work into tangible products. With your experience and skills, your work with NVIDIA’s world leading experts will enable contributions to major advancements in 3D reconstruction and it’s applications in industry. With its unique open culture, NVIDIA is one of the best industry labs for AI and graphics research.

                                                                          -

                                                                          GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain - two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

                                                                          +

                                                                          Additional Information

                                                                          +
                                                                            +
                                                                          • This position is a 4-month work term and will commence May 6th to August 30th, 2024.
                                                                          • +
                                                                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                          • +
                                                                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                          • +
                                                                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                                                          • +
                                                                          • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                                                          • +

                                                                          -

                                                                          What you’ll be doing:

                                                                          -
                                                                            -
                                                                          • Invent or apply deep learning techniques to the field of 3D and 4D content creation (photogrammetry, NeRF-based techniques, etc.)
                                                                          • -
                                                                          • Optimize and improve research techniques to enable production-quality results
                                                                          • -
                                                                          • Integrate deep learning based reconstruction rendering techniques with traditional 3D rendering approaches
                                                                          • -
                                                                          • Participate in projects to conduct Deep Learning research and publish papers to well-known conferences (ex.SIGGRAPH, CVPR, NeurIPS)
                                                                          • -
                                                                          • Apply 3D reconstruction research efforts to products advancing simulation for autonomous driving, robotics, and other domains
                                                                          • -
                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +

                                                                          -

                                                                          What we need to see:

                                                                          -
                                                                            -
                                                                          • Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
                                                                          • -
                                                                          • Strong technical abilities in traditional computer graphics or 3D reconstruction techniques such as NeRF, Gaussian Splatting, etc – with at least one working project demonstrating these abilities
                                                                          • -
                                                                          • Coursework in theories and practices of machine learning, including common machine learning frameworks
                                                                          • -
                                                                          • Coursework in traditional computer graphics and/or compilers
                                                                          • -
                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          +

                                                                          -

                                                                          Ways to stand out from the crowd:

                                                                          -
                                                                            -
                                                                          • In-depth knowledge of the theory and practice of machine learning and traditional computer graphics
                                                                          • -
                                                                          • Strong publication record with at least 1 accepted paper for a related well-known conference (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)
                                                                          • -
                                                                          • Knowledge of common machine learning frameworks
                                                                          • -
                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19653375/canadian-personal-banking-cpb-model-tools-governance-analyst-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-01-29T18:56:00.000Z,False,0,5,71,https://talenthub.vectorinstitute.ai/jobs/298833080-canadian-personal-banking-cpb-model-tools-governance-analyst-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19653375/canadian-personal-banking-cpb-model-tools-governance-analyst-intern-toronto-ca/,expired,2024-01-04T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c5d1e055-6072-40d0-a871-db7911b67a4f,296397621,BMO Financial Group,Senior Analyst - Counterparty Credit Risk,on_site,"Ontario, Canada",2023-12-21T06:25:02.552Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          02/28/2024

                                                                          -

                                                                          NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? If so, we want to hear from you!

                                                                          -

                                                                          The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                          -

                                                                          You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/XMLNAME-3D-Reconstruction-Research-Engineering-Intern---Summer-2024_JR1978710,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-03-03T01:54:51.343Z,False,0,36,199,https://talenthub.vectorinstitute.ai/jobs/303930359-3d-reconstruction-research-engineering-intern-summer-2024-at-nvidia,,expired,2024-02-02T01:54:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, -be188ec1-7fd8-4034-bb84-357058ceab49,313621479,RBC,"Senior Analyst, Stress & Impairment",on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.978Z,"
                                                                          -

                                                                          Job Summary

                                                                          The Senior Analyst, Stress & Impairment will support the execution of live production and infrastructure maintenance for our Credit Measurement System (CMS), which employs a collection of models used to estimate and report forward-looking expected credit losses (ECL), primarily for loans in RBC’s banking book portfolios.

                                                                          You will focus on models for Wholesale, Retail and Capital Markets products, with opportunity to expand and grow through time in other related areas. You will assist Senior Director and Director Stress & Impairment in the execution and maintenance of forward-looking banking-book credit loss projection models and IFRS 9 and CECL credit provisioning and loan portfolio stress testing requirements. You will assist Senior Management and the Board in understanding critical measurement issues relating to forward-looking portfolio performance matters.

                                                                          The team has significant impact across the bank and continuous interactions with other groups, including Senior Management and regulators.

                                                                          +

                                                                          Address:

                                                                          250 Yonge Street

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          -

                                                                          As part of the Group Risk Management team, the Senior Analyst, Stress & Impairment will support the execution of live production and infrastructure maintenance for our Credit Measurement System (CMS), which employs a collection of models used to estimate and report forward-looking expected credit losses (ECL), primarily for loans in RBC’s banking book portfolios.

                                                                          -

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          Project:

                                                                          +
                                                                          • +Enhance Counterparty Credit Risk System to align with new business initiatives & regulations
                                                                          +

                                                                          Responsibilities:

                                                                            -
                                                                          • Assist in the execution and maintenance of time-sensitive IFRS 9 and CECL live production runs in CMS.
                                                                          • -
                                                                          • Support requests from model builders, validators and auditors regarding data and methodology aspects associated with the credit loss models
                                                                          • -
                                                                          • Develop and/or implement testing and reporting methodologies, including model testing, calibration and monitoring performance
                                                                          • -
                                                                          • Assist in preparation of technical whitepapers and presentations, as well as other documents pertaining to implemented models, technologies, and/or analyses
                                                                          • -
                                                                          • Perform scenario/change impact analyses for communication to Senior Management, with focus on business and risk implications
                                                                          • -
                                                                          • Facilitate integration and automation of modeling and reporting changes in CMS and their promotion to BAU production processes
                                                                          • -
                                                                          • Role focus: analytical and statistical technical tools used for credit risk, data and change management, methodology development & implementation
                                                                          • -
                                                                          • Tailor best solutions based on materiality, timelines and available resources
                                                                          • -
                                                                          • Research and keep abreast on credit methodologies and data analytics, to ensure RBC is a leading institution on best practices across the industry
                                                                          • +
                                                                          • Lead new initiative end-to-end: Requirements elicitation in partnership with stakeholders (front office, credit and market risk); Solution design in consultation with technology partners (in-house and vendor); translate business requirements into development tasks, and ensure alignment of priorities; develop test strategy and test plan and perform User Acceptance test to ensure business and analytic requirements are correctly implemented
                                                                          • +
                                                                          • Participate in the implementation process to ensure proper and timely implementation of system enhancements
                                                                          • +
                                                                          • Provide post-implementation support: Investigate issues and respond to adhoc reporting requests as required
                                                                          • +
                                                                          • Assist in the documentation of procedures, control processes, and policies relevant to internal controls.

                                                                          -

                                                                          What do you need to succeed?

                                                                          -

                                                                          -

                                                                          Must Have:

                                                                          +

                                                                          Must Have Skills:

                                                                            -
                                                                          • Undergraduate, and preferably graduate, degree in a quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills
                                                                          • -
                                                                          • 1+ years of relevant business work experience in quant groups (risk, front office, etc.) in the financial industry
                                                                          • -
                                                                          • 1+ years of programming experience with tools such as SAS, SQL, Python, Excel/VBA.
                                                                          • -
                                                                          • Ability to communicate complex concepts to a non-technical audience
                                                                          • -
                                                                          • Strong conceptual, analytical, and problem solving skills. Ability to tailor analysis to required level of precision
                                                                          • +
                                                                          • MBA or Masters in Finance or similar; Bachelors in a technical field (Engineering, Computer Science, Mathematics, Statistics) coupled with CFA/FRM will be considered
                                                                          • +
                                                                          • Minimum of 2 years of BA experience within Capital Markets
                                                                          • +
                                                                          • Hands on experience in manual testing (test case design to ensure coverage and execution)
                                                                          • +
                                                                          • Excellent oral and written Communication Skills as they need to interact with all levels in the management hierarchy (developer, Project Manager, VP, Director)
                                                                          • +
                                                                          • Strong proficiency with Excel (used in manual testing and for daily reporting)
                                                                          • +
                                                                          • Self starter, Proven experience working on large projects independently
                                                                          • +
                                                                          • Knowledge of scripting and automation (Excel VBA, Python, Perl, C#)

                                                                          -

                                                                          Nice-to-Have:

                                                                          +

                                                                          Nice to Have Skills

                                                                            -
                                                                          • FRM and/or CFA would be an asset
                                                                          • -
                                                                          • Prior work experience in credit risk modeling, stress testing, credit portfolio analysis, and credit provisioning would be an asset.
                                                                          • +
                                                                          • Broad understanding and experience with risk management methodologies, preferably in Counterparty Credit Risk
                                                                          • +
                                                                          • Knowledge of Security Financing Products like Repos
                                                                          -

                                                                          -

                                                                          What is in it for you?

                                                                          -

                                                                          -

                                                                          We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +

                                                                          +

                                                                          +

                                                                          Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                          • -
                                                                          • Ability to make a difference and lasting impact
                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • -
                                                                          • Opportunities to take on progressively greater accountabilities
                                                                          • +
                                                                          • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                          • +
                                                                          • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                          • +
                                                                          • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                          • +
                                                                          • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                          • +
                                                                          • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • +
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • +
                                                                          • Conducts quantitative research in risks across strategies and portfolios.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently on a range of complex tasks, which may include unique situations.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            +

                                                                            Foundational level of proficiency:

                                                                            +
                                                                          • +
                                                                          • Regulatory capital and stress testing.
                                                                          • +
                                                                          • Compliance and regulation.
                                                                          • +
                                                                          • Machine learning.
                                                                          • +
                                                                          • Learning Agility.
                                                                          • +
                                                                          • Systems Thinking.
                                                                          • +
                                                                          • Model risk management.
                                                                          • +
                                                                          • Data visualization.
                                                                          • +
                                                                          • Data wrangling.
                                                                          • +
                                                                          • Data preprocessing.
                                                                          • +
                                                                          • Critical thinking.
                                                                          • +
                                                                          • Driving Results.

                                                                            Intermediate level of proficiency:

                                                                            +
                                                                          • +
                                                                          • Quantitative financial modeling.
                                                                          • +
                                                                          • Computational thinking and programming.
                                                                          • +
                                                                          • Verbal & written communication skills.
                                                                          • +
                                                                          • Collaboration & team skills.
                                                                          • +
                                                                          • Analytical and problem solving skills.
                                                                          • +
                                                                          • Data driven decision making.
                                                                          • +
                                                                          • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Technical proficiency gained through education and/or business experience.

                                                                          -

                                                                          Job Skills

                                                                          Credit Risk Management, MS SQL Queries, Python (Programming Language), Risk Management, Risk Management Information Systems

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          GROUP RISK MANAGEMENT

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-03-19

                                                                          Application Deadline:

                                                                          2024-03-31

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -
                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000082434/Senior-Analyst-Stress-Impairment,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-01T06:34:01.854Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/313621479-senior-analyst-stress-impairment-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -cd6f8809-72af-4f09-893c-1cf3d77a4a73,312906780,Scotiabank,"Manager, Business Intelligence & Analytics - Canadian Business Banking",on_site,Canada : Ontario : Toronto,2024-03-18T16:26:02.747Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 195461

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Manager, Business Intelligence and Analytics – Canadian Business Banking

                                                                          -



                                                                          Purpose

                                                                          -

                                                                          -

                                                                          This position supports development of Business Intelligence and Analytics in Canadian Business Banking ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

                                                                          -



                                                                          Reporting to the Senior Manager, Business Intelligence and MIS you will work independently to identify, develop and implement strategies to achieve results. You will possess a high degree of judgement to effectively review and analyze initiatives, as well as to create directions for various projects.

                                                                          -



                                                                          The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. You will work with various partners using influence and negotiation skills to ensure objectives are met.

                                                                          -



                                                                          Accountabilities:

                                                                          -



                                                                          Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                                          -



                                                                          Supports the development and management of business intelligence/MIS/Analytics for Commercial Banking:

                                                                          -
                                                                          • Develops business intelligence reports including Sales Team Scorecards, Sales activity and other Portfolio Management reports and solutions
                                                                          • Ensures reports are available to the business on a timely basis and are accurate
                                                                          • Provides reports encompassing all Business Bank business lines, sub-business lines and segments
                                                                          • Ensures Sales teams and Business Bank leadership teams have appropriate amount of drill down capability to measure and manage their portfolios/business performance
                                                                          • Works with other reporting teams (e.g. Salesforce) to ensure business intelligence produced by different groups in the bank produce consistent results
                                                                          • -
                                                                          -

                                                                          -

                                                                          Provides leading edge solutions to Business Banking stakeholders on Business Intelligence/MIS:

                                                                          -
                                                                          • Implements reports in leading edge business intelligence tools (e.g. Tableau, Power BI)
                                                                          • Supports development of appropriate infrastructure for Business Banking teams to access reports on an on-demand basis (e.g. through Salesforce)
                                                                          • Enhances their knowledge and skills on business intelligence tools and infrastructure on an ongoing basis to provide Commercial Banking best in class Business Intelligence solutions
                                                                          • Ensures ongoing improvements in automation and process improvements to cut down cycle time for report generation and availability
                                                                          • -
                                                                          -


                                                                          Supports the development of analytics to enable sales effectiveness, portfolio management and business development:

                                                                          -
                                                                          • Supports incumbent’s manager, Commercial Customer Experience and the Leadership team in annual development and/or refinement of Performance metrics for the sales teams across all Commercial Business lines
                                                                          • Provides in-depth analysis/insights on historical metrics and assists in development of new metrics
                                                                          • Ensures new metrics are incorporated into Performance reporting on a timely basis
                                                                          • Helps develop analytics to support key commercial bank initiatives (e.g. The Pulse, Operational reporting/analytics, portfolio management and business development initiatives etc.)
                                                                          • -
                                                                          -


                                                                          Collaborates with stakeholders in relation to delivery of Business intelligence:

                                                                          -
                                                                          • Works collaboratively with data infrastructure teams within Commercial Analytics and GBM Analytics teams to ensure appropriate data infrastructure is in place to facilitate timely and accurate delivery of business intelligence reports
                                                                          • Works collaboratively on requests from field support teams to ensure field queries and feedback is actioned and incorporated in future MIS developments
                                                                          • Works proactively with development teams in Salesforce and other areas to improve infrastructure required to enhance efficiencies for end users and for the Analytics teams
                                                                          • Supports Commercial Customer Experience and Sales teams on ad-hoc analysis
                                                                          • -
                                                                          -


                                                                          Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.


                                                                          Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                                          -


                                                                          Champions a high-performance environment and contributes to an inclusive work environment.

                                                                          Educational Requirements:

                                                                          -

                                                                          -

                                                                          • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                                          • MBA (Finance or Analytics) – preferred

                                                                          -


                                                                          Experience:

                                                                          -


                                                                          • 3+ years experience in developing Business Intelligence solutions through Power BI and/or Tableau
                                                                          • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                                                          • Exposure or experience in programming, application development and/or data warehousing
                                                                          • Experience accessing, compiling and analyzing large volumes of data into usable form required
                                                                          • Using SAS, SQL server database programming an asset
                                                                          • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                                                          • Experience with open-source languages such as Python, Django, Flask, JS, D3, Angular an asset

                                                                          -

                                                                          Skills:

                                                                          -


                                                                          • Advanced proficiency with Excel programming and Microsoft Access skills including queries, forms, reports and macros
                                                                          • Excellent verbal and written communication skills are required
                                                                          • Strong prioritizing, analytical, presentation, project management and planning skills
                                                                          • Effective strategic thinking, organizational know-how and influencing skills are critical for success
                                                                          • High degree of knowledge of Business products and profit drivers
                                                                          • Strong technical skills in Math, Statistics, Computer Science or related fields
                                                                          • Excellent design and delivery capabilities
                                                                          • Ability to work non-standard hours as required

                                                                          -

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          #IN-CB

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H-3Y2/579198517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-01T16:31:04.178Z,False,0,3,57,https://talenthub.vectorinstitute.ai/jobs/312906780-manager-business-intelligence-analytics-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H-3Y2/579198517/,expired,2024-03-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b77a5161-ba7f-4c1a-af13-1019f6cecdda,309995236,Scotiabank,"Data Engineer, Scotiabank",on_site,Canada : Ontario : Toronto,2024-03-03T16:26:01.897Z,"

                                                                          -

                                                                          -

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst---Counterparty-Credit-Risk_R230021213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-01T17:26:13.445Z,False,0,2,94,https://talenthub.vectorinstitute.ai/jobs/296397621-senior-analyst-counterparty-credit-risk-at-bmo-financial-group,,expired,2023-12-21T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +affb7b95-3775-4e8c-951b-8cce4a356ba0,309234846,KPMG,"Manager, Data and Analytics ( Global People, Digital HR)",on_site,"Toronto, Canada",2024-02-29T16:29:01.665Z,"Overview

                                                                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                          The Opportunity

                                                                          The Manager – Data and Analytics is a process SME role is to lead the business-as-usual support and operations of the global People Identity Management System and work and effectively contribute to the cross-business and cross-product data and reporting-related projects and initiatives in Global People.


                                                                          What you will do

                                                                            +
                                                                          • Serving a product SME for the global people identity management system and leading the day-to-day support and operations of the service working closely with the off-shore support team. Engaging with Member Firms and global stakeholders for product and service feedback, change requests, issue resolution, etc
                                                                          • +
                                                                          • Advising and supporting the Digital HR Data Lead and the Data Working Group on technology solutions to inform and support the development of global strategies, policies and processes for the effective data-driven development of people across KPMG
                                                                          • +
                                                                          • Translating business processes and requirements into appropriate technology solutions to enable and support the deployment and adoption of agreed global policies and processes
                                                                          • +
                                                                          • Working closely with the Digital HR Data Lead and Global Head of People Technology Support Services, ITSG, and Global Data Office on the data and analytics projects aimed to deliver the consistent and coherent data management and insights solution across solutions and products
                                                                          • +
                                                                          • Stakeholder engagement & management across the network to promote awareness of Global Technologies; and promote consistency of adoption and usage
                                                                          • +
                                                                          • Assure compliance for Data and Analytics technologies in regard to internal procurement policies; and required information security and data protection rules and regulations
                                                                          • +
                                                                          • +

                                                                          What you bring to the role

                                                                            +
                                                                          • Bachelor’s degree and/or equivalent work experience
                                                                          • +
                                                                          • Strong knowledge and experience of implementing data-driven HR and Identity business operations and processes
                                                                          • +
                                                                          • Proven experience in delivering effective outcomes through others, and working within a matrix organization
                                                                          • +
                                                                          • Ability to work across cultures and build strong relationships
                                                                          • +
                                                                          • Comfortable with complexity and finding a new path or solution coupled with strong business acumen
                                                                          • +
                                                                          • Proven experience in the use of data and analytics to resolve issues and identify and develop service improvements and enhancements
                                                                          • +
                                                                          • Proven problem-solving skills; ability to drive through to solution in circumstances of complexity and ambiguity
                                                                          • +
                                                                          • Ability to deliver under difficult conditions and demonstrated balanced judgment under pressure
                                                                          • +
                                                                          • Strong business integrity and ability to hold sensitive information in confidence
                                                                          • +
                                                                          • Knowledge and experience of project methodologies and standards, in particular for development and implementation of Cloud technologies
                                                                          • +
                                                                          • Strong Business Analysis skills & experience
                                                                          • +
                                                                          • Strong enterprise data management and analysis knowledge (data architecture, data flows, data transformation, etc.)
                                                                          • +
                                                                          • Strong enterprise identity management knowledge (Identity Governance, Identity Management, Azure Active Directory, etc.)
                                                                          • +
                                                                          • SQL, Excel, Python (Pandas or equivalent for concepting, no actual development), Data Architecture Diagrams (UML, Visio).
                                                                          • +

                                                                          Keys to your success

                                                                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                          Providing you with the support you need to be at your best

                                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                          Our Values, The KPMG Way

                                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to visit our accessibility page.

                                                                          ",,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-03-21T16:34:01.691Z,False,0,10,157,https://talenthub.vectorinstitute.ai/jobs/309234846-manager-data-and-analytics-global-people-digital-hr-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,expired,2024-02-29T16:29:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +e891ce15-7c90-42f9-a041-83f9dc38e2a8,312215997,Scotiabank,"Manager, Collections Business Intelligence & Analytics",on_site,Canada : Ontario : North York,2024-03-14T16:26:04.518Z,"

                                                                          -

                                                                          Requisition ID: 187572

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                                          -

                                                                          Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements. Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                                          -


                                                                          -

                                                                          Is this role right for you? In this role you will:

                                                                          +

                                                                          Requisition ID: 192614

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -
                                                                          • Contributes to the overall success of the Data Engineering and Data Services in Canada

                                                                          • Ensures specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                                                          • Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                                          • Champions a high-performance environment and contributes to an inclusive work environment.

                                                                          • Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.

                                                                          • Hands-on development supporting Data integration, Analytics and Cloud environments.

                                                                          • Contribute to data ingestion, transformation and extraction solutions in Enterprise big data platform (EDL)

                                                                          • Contribute to data and project design and delivery for some of highly visible and critical projects across bank like TSYS Modernization

                                                                          • Contribute to translating architecture or design into both logical and physical data models that comply with existing (and evolving) standards and practices.

                                                                          • Work with the Data Architecture and QA teams

                                                                          • Understand the risk culture and how it should be considered in day-to-day activities and decisions.

                                                                          • Actively pursues effective and efficient operations of his/her respective areas in accordance with organization values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, and AML/ATF/sanctions.

                                                                          • -
                                                                          -


                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                          +

                                                                          Responsible for the automation & delivery of management reporting and analyses to enable the ScotiaHelps operations teams to make effective decisions to achieve the Bank’s credit loss & operations expense plans.

                                                                          +

                                                                          Is This Role Right for You? In this role, you will:

                                                                          -
                                                                          • At least 5 years of industry experience in software development using agile methods (Scrum, Kanban, etc.)

                                                                          • Excellent understanding of database and data management concepts and technologies

                                                                          • At least 3 years of experience in working with Big Data including Apache Hadoop, Hive, Sqoop, Spark

                                                                          • 3+ years of hands-on experience working with Talend or similar ETL (Extract-Transform-Load) tools

                                                                          • 3+ years of hands-on experience with Java and/or Python

                                                                          • Hands-on experience with Unix/Linux Command Line Interface (CLI) and shell scripting

                                                                          • Working experience with GitHub, JIRA, Confluence, DevOps, Jenkins pipelines, and code promotion

                                                                          • Strong communication and presentation skills

                                                                          • Level-3 production support experience is an asset and sometimes required

                                                                          • +
                                                                            • Responsible for developing and publishing management dashboards for key performance indicators, providing insights to drive improvements in collections effectiveness
                                                                            • Researches & implements innovative approaches to automate data management, reporting, & data visualization
                                                                            • Develops & maintains data architecture to enable automation of management reports through SQL Server and Power BI
                                                                            • Design, develop, and implement data pipelines using Azure Data Factory to ensure efficient and scalable data integration.
                                                                            • Develop and optimize ETL processes for data extraction, transformation, and loading from various sources into Azure data storage.
                                                                            • Responsible for delivery of agent productivity & incentive reports
                                                                            • Oversees production of analyses pertaining to collections performance. Identifies actionable insights to improve collection efforts and recoveries
                                                                            • Supports strategic initiatives through data sourcing, manipulation, analyses, & visualizations
                                                                            • Supports stakeholders within collections through analyses on collections effectiveness, communicating trends & value-added insights
                                                                            • Generates clear analyses & presentations to stakeholders and senior management
                                                                            • Establishes effective relationships across multiple business and technology partners, including program and project managers to ensure timely delivery of strategic priorities
                                                                            • Fosters an inclusive, collaborative, and high-performance environment. Implements a people strategy that attracts, retains, develops, and motivates their team
                                                                            -


                                                                            -

                                                                            What's in it for you?

                                                                            +


                                                                            Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                            -
                                                                            • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                                                                            • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                                                                            • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                                                                            • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                                                                            • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                                                                            • +
                                                                              • Five years’ experience in a collection’s operations environment delivering performance reporting
                                                                              • Strong problem-solving, collaboration, and communication skills
                                                                              • Experience with SQL Server Elements (SSMS, SSAS, SSIS, SSRS)
                                                                              • Working knowledge of Azure Services: Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database SQL scripting and Data Modeling
                                                                              • Experience with reporting & statistical software packages such as SAS, SQL, Power BI and Python
                                                                              • Experience manipulating large and complex databases.
                                                                              • Proficient in SQL and scripting languages for data manipulation and transformation.
                                                                              • Strong understanding of data modeling, data warehousing, and ETL principles.
                                                                              • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture.
                                                                              • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                                                              • +A University degree in Economics, Finance, Mathematics, Computer science, or Information technology related discipline.
                                                                              -



                                                                              Working location condition: Hybrid

                                                                              #LI-Hybrid

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Scotiabank-ON-M1L4S2/575414317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-03T19:05:43.499Z,False,0,7,163,https://talenthub.vectorinstitute.ai/jobs/309995236-data-engineer-scotiabank-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Scotiabank-ON-M1L4S2/575414317/,expired,2024-03-03T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -3ea53d89-046a-4f44-9828-4034324052a2,313621477,RBC,Director Financial Reporting and Analytics,on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.750Z,"
                                                                          +

                                                                          Location(s): Canada : Ontario : North York

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Collections-Business-Intelligence-&-Analytics-ON-M3C2T2/578244117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-03-21T16:31:03.251Z,False,0,5,51,https://talenthub.vectorinstitute.ai/jobs/312215997-manager-collections-business-intelligence-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Collections-Business-Intelligence-&-Analytics-ON-M3C2T2/578244117/,expired,2024-03-14T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +32b7b8d9-9453-44dc-92fa-1eab952fc272,308081908,Cohere,"Member of Technical Staff, MLE",hybrid,"Toronto, ON, Canada",2024-02-22T19:16:38.253Z,"

                                                                          Who are we?

                                                                          +

                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          Join us on our mission and shape the future!

                                                                          +

                                                                          Why this role?

                                                                          +

                                                                          As an AI Engineer (a Member of Technical Staff role on our Forward Deployed team) you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
                                                                          You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

                                                                          +

                                                                          In this role, you will:

                                                                          +
                                                                              +
                                                                            • Own and build large new areas within our product.
                                                                            • +
                                                                            • Work across backend, frontend, and customize Large Language Models.
                                                                            • +
                                                                            • Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
                                                                            • +
                                                                            • Work across the entire product lifecycle from conceptualization through production.
                                                                            • +
                                                                          +

                                                                          This career opportunity may be a good match for you if you have:

                                                                          +
                                                                              +
                                                                            • 3+ years of model training, deployment, and maintenance in a production environment.
                                                                            • +
                                                                            • Strong skills in NLP and deep learning.
                                                                            • +
                                                                            • Experience scaling products at hyper-growth startup.
                                                                            • +
                                                                            • Strong written and verbal communication skills.
                                                                            • +
                                                                            • Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
                                                                            • +
                                                                          +

                                                                          Nice to have skills/experiences:

                                                                          +
                                                                              +
                                                                            • Experience improving LLM performance for custom domains via fine tuning or RLHF.
                                                                            • +
                                                                            • Experience in Information Retrieval systems for document question answering.
                                                                            • +
                                                                            • Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
                                                                            • +
                                                                            • Published research in areas of machine learning at major conferences and/or journals.
                                                                            • +
                                                                          +

                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

                                                                          +

                                                                          Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend✈️ 6 weeks of vacation

                                                                          +

                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.

                                                                          ",,https://jobs.lever.co/cohere/6863d562-8458-41f5-95e6-75a348350233,aitalent@vectorinstitute.ai,https://cohere.ai/,,,2024-03-23T19:16:40.222Z,False,0,9,38,https://talenthub.vectorinstitute.ai/jobs/308081908-member-of-technical-staff-mle-at-cohere,,expired,2024-02-22T19:16:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, +47b7d3c2-d47b-43f5-91e2-e939ebc6da98,313621478,RBC,"Senior Development Manager – Data, Analytics, & Insights",on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.859Z,"

                                                                          Job Summary

                                                                          -

                                                                          -

                                                                          + +

                                                                          Job Description

                                                                          -

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          -

                                                                          Join the dynamic Transformation and Enterprise Operations (TEO) Business Intelligence Reporting, Analytics and Insights team and leverage data from across the enterprise and advanced tooling to drive transformative Reporting, Analytics and Insights solutions for business partners across the enterprise. You will collaborate closely with Finance and TEO stakeholders to lead the development, deployment and continuous improvement of a suite of automated reporting solutions by leveraging various BI, analytics and ML technologies for management, regulatory and business reporting that will unearth valuable insights for enhanced governance and decision-making. Your leadership will be pivotal in empowering our teams, influencing and ensuring we deliver upon TEO\'s strategic objectives, and ensuring our reporting and analytics solutions remain agile and relevant. Join us and make a lasting impact on our organization\'s future.

                                                                          +

                                                                          RBC is seeking a Senior Development Manager to join US Cash Management (USCM) Technology team.
                                                                          The USCM Data, Analytics, & Insights team plays a key role in supporting the data requirements needed to support this new line of business. In this role you will be responsible for leading a team of Data Engineers and Quality Automation Engineers to deliver new, enhance existing, or maintain data capabilities supplied by our Data team.

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Lead in the overall direction, recommendation and implementation of automated BI reporting solutions including financial and operational dashboards, data visualizations and a variety of advanced analytics models.

                                                                          • -
                                                                          • Oversight of the development, production and maintenance of financial and non-financial reporting during monthly/quarterly/yearly reporting cycles to meet SLA and quality standards. This includes reporting against EPM, CGID, EDW and any other data sources.

                                                                          • -
                                                                          • Lead efforts to identify and implement process optimization and continuous improvements to enhance the efficiency and effectiveness of reporting practices.

                                                                          • -
                                                                          • Lead the establishment of a TEO data center of excellence and data ecosystem, engage in the design, development and maintenance of scalable data pipelines and ETL processes specific to Dataiku, Python, VBA, Tableau and other technologies.

                                                                          • -
                                                                          • Lead the design, development and deployment of storytelling dashboards and efficient data models that provide business insights to support TEO KPIs and strategic priorities.

                                                                          • -
                                                                          • Lead data analytics initiatives and develop analytical models, algorithms, and visualizations that provide actionable insights.

                                                                          • -
                                                                          • Implement robust data governance standards, and processes to monitor self-serve database instances, data volume and governance around guidelines and best practices.

                                                                          • -
                                                                          • Adopt advanced analytics techniques and stay up to date with industry trends and advancements in data analytics, including machine learning, artificial intelligence, and predictive analytics.

                                                                          • +
                                                                          • Coordinate, develop, lead, communicate and execute activities collaborating with peers across the USCM solution offering to deliver on end-to-end capability ensuring objectives are accomplished according to requirements, plan, and schedule

                                                                          • +
                                                                          • +

                                                                            Managing, leading, and mentoring software engineers, including

                                                                            +
                                                                              +
                                                                            • Creating development plans and guiding them to achieve their full potential.

                                                                            • +
                                                                            • Creating performance plans and tracking delivery

                                                                            -

                                                                            -

                                                                            What do you need to succeed?

                                                                            -

                                                                            Must have:

                                                                            +
                                                                          • +
                                                                          • Working with Scrum Masters, other managers, and SMEs to create the best environment for agile high performance and delivery; track and remove roadblocks for the team.

                                                                          • +
                                                                          • Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and innovation within the team.

                                                                          • +
                                                                          • Troubleshoot issues encountered in production.

                                                                          • +
                                                                          • +

                                                                            Evaluating, maintaining, and evolving the team’s practices for

                                                                              -
                                                                            • A visionary leader with a unique blend of financial acumen, business insight, and technical expertise including leadership by example in teamwork, cross unit co-operation and information sharing

                                                                            • -
                                                                            • Excellent people management skills, 10+ years and/or management of large functional / operation group

                                                                            • -
                                                                            • Bachelor’s or master’s degree in Finance, Computer Science, Financial Engineering, Mathematics or equivalent education/experience

                                                                            • -
                                                                            • Excellent knowledge of financial systems, reporting processes, databases, data engineering, data analysis, data governance and best practices as well as strong knowledge of BI technologies such as Dataiku, Python, Tableau, Cognos Analytics, advanced SQL and other tools.

                                                                            • -
                                                                            • Great organization awareness and strategic mindset to effectively create and communicate the value proposition to a variety of stakeholders, understand and assess tradeoffs, options and implications, impact and influence.

                                                                            • +
                                                                            • end-to-end development from ingestion of data from producers, curation, consumer reporting and data exposure with APIs

                                                                            • +
                                                                            • Best of breed application security standards – best of both industry and RBC standards

                                                                            • +
                                                                            • Evaluating and improving platform architecture on Azure

                                                                            • +
                                                                            • Documentation

                                                                            • +
                                                                            • Management of tech debt

                                                                            • +
                                                                            • Lead incident response and resolution

                                                                            • +
                                                                            +
                                                                          • +
                                                                          +

                                                                          Must-have

                                                                          +
                                                                            +
                                                                          • 8+ years of experience in software development in related technologies with increasing responsibilities and complexity. Proficiency in programming languages such as Java, Python or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms to solve data problems.

                                                                          • +
                                                                          • Experience in Confluent/Apache Kafka architecture, Confluent/Apache Kafka design principles, Spring and Spring boot Framework, Multi-Threading and Rest API, CI/CD Deployment procedures.

                                                                          • +
                                                                          • Experience in Swagger, MongoDB, and SQL server. Knowledge of Elasticsearch, Logstash, Kibana. Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing.

                                                                          • +
                                                                          • Solid experience in software development lifecycle and working knowledge of DevOps pipelines (GitHub, Jenkins, UCD/Helios)

                                                                          • +
                                                                          • Excellent problem-solving skills and ability to troubleshoot complex technical issues in a cloud environment. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

                                                                          Nice-to-have:

                                                                            -
                                                                          • Experience and knowledge of RBC internal systems (EPM, EDW, ODIN, Workday, Finance Datamart, FiBRS …)

                                                                          • -
                                                                          • Financial Services Industry experience

                                                                          • +
                                                                          • Preferred a background in Finance / Capital Markets, demonstrating basic Understanding in industry practice and terminology.

                                                                          • +
                                                                          • Experience working in a cloud environment.

                                                                          • +
                                                                          • Experience with Snowflake, Tableau for Analytics.

                                                                          +

                                                                          What’s in it for you?

                                                                          -

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +

                                                                          We are building something completely new in a dynamically changing industry – grab this opportunity to leverage the significant resources of our business and brand to make change happen in the real world. In addition, we offer;

                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits

                                                                          • +
                                                                          • A dedicated manager who will support, coach, and work with you to develop an individual career growth plan

                                                                          • +
                                                                          • Strong support from our personable Leadership team

                                                                          • Ability to make a difference and lasting impact

                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • -
                                                                          • A world-class training program in financial services

                                                                          • -
                                                                          • Flexible work/life balance options

                                                                          • -
                                                                          • Opportunities to do challenging work

                                                                          • +
                                                                          • An agile, collaborative, progressive, and high-performing team

                                                                          -

                                                                          -

                                                                          #LI-Post

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          #TechPJ

                                                                          -

                                                                          Job Skills

                                                                          Accounting Finance, Commercial Acumen, Decision Making, Effectiveness Measurement, Finance, Finance Analytics, Financial Analysis and Reporting, Financial Regulatory Reporting, Performance Management (PM)

                                                                          +

                                                                          Job Skills

                                                                          Application Development, Application Integrations, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Programming Languages, Software Development Life Cycle (SDLC), System Applications

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          180 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Technology and Operations

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-09-22

                                                                          Application Deadline:

                                                                          2024-04-03

                                                                          +

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Technology and Operations

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-03-20

                                                                          Application Deadline:

                                                                          2024-04-30

                                                                          @@ -67822,219 +68270,311 @@ b77a5161-ba7f-4c1a-af13-1019f6cecdda,309995236,Scotiabank,"Data Engineer, Scotia

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000068577/Director-Financial-Reporting-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-04T06:34:03.463Z,False,0,1,40,https://talenthub.vectorinstitute.ai/jobs/313621477-director-financial-reporting-and-analytics-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -d7577b6e-320a-4b73-b179-866264f744bf,314963183,Roche,Data Engineer/MLOps,on_site,"Mississauga, ON, Canada",2024-03-28T15:53:30.011Z,"

                                                                          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                          -

                                                                          -

                                                                          The Position
                                                                          -

                                                                          -

                                                                          And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

                                                                          -

                                                                          As a Machine Learning Data Engineer specialized in medical/clinical image data analysis techniques, you will join the data engineering cluster in the Roche Informatics Data and Analytics Chapter (DnA).
                                                                          -You will be part of one multi-disciplinary agile team where you’ll actively shape the future of healthcare by using data engineering and machine learning methods and principles to generate deeper insights from a great variety of imaging data sources. To achieve this, you will help deploy, manage, and optimize machine learning models in production environments and support the development of advanced analytics algorithms utilizing clinical images to address scientific questions related to prognostic and/or predictive biomarkers.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000081373/Senior-Development-Manager-Data-Analytics-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-18T21:06:00.000Z,False,0,1,166,https://talenthub.vectorinstitute.ai/jobs/313621478-senior-development-manager-data-analytics-insights-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +26bac7ec-eba4-4a48-ae0f-0e6cadf98fe9,316355785,Canadian Tire Corporation,Senior Retail Insights Analyst,on_site,"Ontario, Canada",2024-04-04T20:14:01.667Z,"
                                                                          +

                                                                          What you will do

                                                                          +

                                                                          The Retail Insights Analyst will be responsible for integrating data across domains (customer, digital, store operations, product, and more) into automated processes, analytical marts, and consumable formats for the business. They will use analytical techniques to discover patterns and insights that arm the store operations team with actionable intelligence for key strategic initiatives.

                                                                          -

                                                                          Your Opportunity:

                                                                            -
                                                                          • Support the development of Machine Learning/Deep Learning (ML/DL) algorithms and pipelines across a variety of imaging modalities and disease areas
                                                                          • -
                                                                          • Support the deployment, management, and optimization of machine learning models in a production environment and ensure smooth integration and efficient operations.
                                                                          • -
                                                                          • Continually search for opportunities to automate workflows and streamline processes
                                                                          • -
                                                                          • Support users and provide guidance for cloud services like Sagemaker and Vertex.ai
                                                                          • +
                                                                          • Be relied upon as an expert of store operations data and how they tie back to business profitability.

                                                                          • +
                                                                          • Collaborate with many teams in to unlock new / improved data & analytics that drive common objectives.

                                                                          • +
                                                                          • Build predictive models forecasting sales, expenses, and business activities to improve instore execution and profitability.

                                                                          • +
                                                                          • Support the business with a fact-based ad-hoc analysis – leveraging statistical methods where possible.

                                                                          • +
                                                                          • Be an Automation Champion – developing self serve analytics that leverages workflow tools and AI to drive value generating activities in our +200 stores.

                                                                          • +
                                                                          • Contribute to the development of analytical data marts that accelerate the analytical process.

                                                                          -

                                                                          -

                                                                          Who you are:

                                                                          +


                                                                          What you bring

                                                                            -
                                                                          • Bachelor’s degree in Computer Science, Biomedical Engineering, or a similar discipline; Master of Science preferred
                                                                          • -
                                                                          • 5 years plus experience with cloud-based data processing and data management processes and frameworks
                                                                          • -
                                                                          • Proficient in programming languages such as Python and a good grasp of CI/CD pipeline tools like Terraform, GitLab action.
                                                                          • -
                                                                          • Experience working with relational and non-relational databases, data warehousing, and data streaming frameworks such as RedShift, PostgreSQL, etc.
                                                                          • -
                                                                          • Experience with ML/DL and MLops, particularly developing ML data pipelines and deploying to production
                                                                          • -
                                                                          • Experience with Docker/Kubernetes, Airflow, Talend, TensorFlow and PyTorch
                                                                          • -
                                                                          • Experience with Cloud infrastructure such as AWS (especially SageMaker) and GCP (especially Vertex.ai)
                                                                          • -
                                                                          • Experience with medical image formats (e.g., DICOM, nifti) andmedical/clinical image data analysis techniques and understanding of clinical trials and with clinical imaging in multiple therapeutic areas such as Oncology, Ophthalmology, and Neurology
                                                                          • +
                                                                          • 5+ years of experience in an analytics-based environment (retail experience preferred but not required)

                                                                          • +
                                                                          • Strong problem solving, analytical and strategic thinking skills; can see the ""big picture"" in a complex business environment and break it down into a plan of action.

                                                                          • +
                                                                          • Advanced knowledge Microsoft Excel (experience with DAX and Powerpivot considered an asset)

                                                                          • +
                                                                          • Working Knowledge of SQL for data manipulation and integration

                                                                          • +
                                                                          • Working Knowledge in interest in BI tools such as PowerBI, and/or Tableau

                                                                          • +
                                                                          • Knowledge of database management, information management, and data mart design along with hands-on experience using data analysis / workflow tools such as Knime or Alteryx is an asset.

                                                                          • +
                                                                          • Working knowledge of Python or other coding languages and experience with Azure Synapse is considered an asset.

                                                                          -

                                                                          This role is not open for relocation support

                                                                          -

                                                                          Who we are

                                                                          -

                                                                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                          +

                                                                          Hybrid

                                                                          +

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          -

                                                                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                          +

                                                                          #LI-SH1

                                                                          -

                                                                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                          -

                                                                          Roche is an Equal Opportunity Employer.

                                                                          -

                                                                          Explore LocationApply Now

                                                                          ",,https://careers.roche.com/global/en/job/202403-107341/Data-Engineer-MLOps,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-04-04T19:38:00.000Z,False,0,9,88,https://talenthub.vectorinstitute.ai/jobs/314963183-data-engineer-mlops-at-roche,,expired,2024-03-28T15:53:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -a7e60368-5268-459c-88f6-13eedc0c467f,319870235,CIBC,"Analyst, Control Optimization & Analytics",on_site,"Ontario, Canada",2024-04-26T01:05:02.507Z,"
                                                                          -

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          -

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          -

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          What you\'ll be doing

                                                                          +

                                                                          About Us

                                                                          -

                                                                          As a member of CIBC’s team, the Analyst, Control Optimization & Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The Analyst, Control Optimization & Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

                                                                          +

                                                                          Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                          +

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          -

                                                                          How you\'ll succeed

                                                                          -
                                                                            -
                                                                          • Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.

                                                                          • -
                                                                          • Strategic Thinking Approach – Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.

                                                                          • -
                                                                          • Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.

                                                                          • -
                                                                          • Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.

                                                                          • -
                                                                          • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.

                                                                          • -
                                                                          +

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                          -

                                                                          Who you are

                                                                          +

                                                                          Accommodations

                                                                          +

                                                                          +

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          +

                                                                          +
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Senior-Retail-Insights-Analyst_JR132606?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-04-18T21:06:00.000Z,False,0,1,79,https://talenthub.vectorinstitute.ai/jobs/316355785-senior-retail-insights-analyst-at-canadian-tire-corporation,,expired,2024-04-04T20:14:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Senior Level,No Degree,New Posting, +6766d130-6e20-4fc5-81fd-be322566d624,316500511,Shopify Inc.,"Senior Product Data Scientist, Multiple Roles",full,Canada,2024-04-05T20:27:33.115Z,"

                                                                          About Shopify

                                                                          +

                                                                          Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                          +

                                                                          This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                          +

                                                                          +

                                                                          About you

                                                                          +

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          +

                                                                          Before you apply, consider if you can:

                                                                            -
                                                                          • You can demonstrate experience with: programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).

                                                                          • -
                                                                          • You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).

                                                                          • -
                                                                          • You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.

                                                                          • -
                                                                          • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.

                                                                          • -
                                                                          • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.

                                                                          • -
                                                                          • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                                                          • -
                                                                          • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business

                                                                          • -
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                          • +
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • +
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • +
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • +
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • +
                                                                          • Bring critical thought and opinion
                                                                          • +
                                                                          • Embrace differences and disagreement to get shit done and move forward
                                                                          • +
                                                                          • Work digital-first for your daily work

                                                                          -

                                                                          -

                                                                          What CIBC Offers

                                                                          -

                                                                          -

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                          +

                                                                          About the role

                                                                          +

                                                                          About the role

                                                                          +

                                                                          As a Product Analytics professional, you'll be tasked with transforming raw data into actionable insights that will help guide the development and improvement of our products. This role isn't for the faint-hearted or those seeking a conventional corporate structure - we operate on the principles of low process, high trust, and high impact. It's all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

                                                                          +

                                                                          Our product is designed to empower entrepreneurs. Consequently, the work you do will not only create value for our users but also contribute to global entrepreneurship. To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

                                                                          +

                                                                          As a Senior Data Scientist, you will partner with Product, Engineering, UX, and other disciplines to lead through data and achieve product/business goals. Product Data Scientists are expected to:

                                                                            -
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • -
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +
                                                                          • Proactively identify and champion projects that solve complex problems in important business areas.
                                                                          • +
                                                                          • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                                                                          • +
                                                                          • Holistically own general problems in those product/business domains and understand how those problems/domains interact with the rest of Shopify.
                                                                          • +
                                                                          • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                                                                          • +
                                                                          • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to inform improvements to our business
                                                                          • +
                                                                          • Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables or schemas that support business processes
                                                                          • +
                                                                          • Influence leadership to drive more data-informed decisions
                                                                          • +
                                                                          • Define and advance best practices within your data science and product teams
                                                                          -

                                                                          -

                                                                          *Subject to program terms and conditions

                                                                          -

                                                                          -

                                                                          -

                                                                          What you need to know

                                                                          +

                                                                          There are several teams looking for Product Data Scientists to partner with and help drive value for our merchants. These include:

                                                                          +

                                                                          Core Ecosystem, International, and Marketing

                                                                          +

                                                                          Merchants use Shopify in a variety of ways, using a wide array of first-party features and augmenting them with third-party apps. These all come together to help merchant’s meet their diverse needs. A shoe brand in Canada, a small jeweler in Japan, and a Fortune 500 company in Germany all need different tools so succeed! This Data Science team is focused on helping merchants make the most use of these different features and apps all over the world.

                                                                          +

                                                                          Checkout & Storefront

                                                                          +

                                                                          The Core Product Data Science team combines leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants. Data Scientists turn data into actionable insights through a number of analytical methods, such as A/B tests, In-depth studies, advanced modeling, data visualizations, etc. to shape and support our product development strategies.

                                                                          +

                                                                          Executive Insights

                                                                          +

                                                                          The Executive Insights team supports Shopify leadership in setting the direction of the company, sharing our message of entrepreneurship to the world, and investing in building the best products for our merchants. We do this by combining a deep understanding of the entrepreneurs that use our products, our position in the marketplace and the challenges our merchants face.

                                                                          +


                                                                          +

                                                                          Qualifications

                                                                            -
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • -
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • +
                                                                          • Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
                                                                          • +
                                                                          • Extensive experience in a data science role solving large-scale, high impact business problems
                                                                          • +
                                                                          • Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
                                                                          • +
                                                                          • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                                                          • +
                                                                          • Deep understanding of advanced SQL techniques and data modeling
                                                                          • +
                                                                          • Well versed with various Business Intelligence platforms and tools
                                                                          • +
                                                                          • Experience working with various levels of business stakeholders, from c-suite to engineering and product development teams.
                                                                          • +
                                                                          • Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
                                                                          • +
                                                                          • Experience creating data product strategies, building data products, and continued iteration after launch
                                                                          • +
                                                                          • Experience launching productionized machine learning models at scale is a plus
                                                                          • +
                                                                          • Extensive domain experience in e-commerce, sales & marketing or SaaS is a plus
                                                                          -

                                                                          -

                                                                          -

                                                                          Expected End Date

                                                                          2024-08-30

                                                                          -

                                                                          Job Location

                                                                          Toronto-81 Bay, 24th Floor

                                                                          -

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          -

                                                                          Weekly Hours

                                                                          37.5

                                                                          -

                                                                          Skills

                                                                          Accountability, Data Analytics, Management Reporting
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Control-Optimization---Analytics_2409643?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-02T19:13:00.000Z,False,0,6,12,https://talenthub.vectorinstitute.ai/jobs/319870235-analyst-control-optimization-analytics-at-cibc,,expired,2024-04-26T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d2cc3aa3-47b4-44a7-a8ca-20f7dea6941a,320134167,OMERS,Senior Data Governance Specialist,on_site,"Ontario, Canada",2024-04-28T01:36:02.000Z,"
                                                                          +

                                                                          We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.

                                                                          +


                                                                          ",,https://www.shopify.com/careers/senior-product-data-scientist--multiple-roles_118be8e4-210b-4f56-9a2b-4d78514d8ea5,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-18T21:07:00.000Z,False,0,6,62,https://talenthub.vectorinstitute.ai/jobs/316500511-senior-product-data-scientist-multiple-roles-at-shopify-inc,,expired,2024-04-05T20:27:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +f0921ad7-d0a4-4443-9ac1-bb75a5e35d10,313621666,OMERS,"Business Analyst, Private Markets (Infrastructure and Private Equity)",on_site,"Ontario, Canada",2024-03-21T06:45:02.200Z,"

                                                                          Why join us?

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          -

                                                                          The Data Governance Specialist works as part of the Enterprise Data Governance Team to support the implementation of new data governance tools and related processes, with a focus on enterprise data cataloging, metadata management, business workflows and data quality management.

                                                                          +
                                                                          +
                                                                          +

                                                                          The Business Analyst, Global Investments Products & Services (GI P&S) will join a team that leads the delivery of the products and platforms that enable OMERS Global Investments (GI) to analyze opportunities, action investment decisions and optimize the OMERS investment portfolio. GI P&S works across investment teams including Private Markets - Infrastructure, Private Equity, Growth Equity and Ventures, and in close collaboration with Finance, Risk & Compliance teams.

                                                                          -

                                                                          This role will work closely with the Business teams and other Data & Technology partners to ensure data governance standards, policies and best practices are understood and applied consistently across the organization. The ideal candidate for this role will have a deep understanding of data governance principles, financial regulations, and the technical skills necessary to excel in this position. This position offers an opportunity to influence and shape the OMERS data governance practices to drive business success and ensure data integrity.

                                                                          +
                                                                          +
                                                                          +

                                                                          As a key member of the GI P&S team, the Business Analyst is instrumental in improving data & analytics capabilities by championing industry best practices and delivering high quality business requirements to support investment decision making.

                                                                          -

                                                                          Responsibilities:

                                                                          -
                                                                            -
                                                                          • Understand OMERS business functions, activities, and transactions, as well as standard information and data governance best practices to contribute practical solutions for both structured and unstructured data in the development and implementation of the Data Governance Program
                                                                          • -
                                                                          • Design, develop and monitor technology solutions around key data governance focus areas of data catalog, metadata management, data quality management, data lineage business workflows and access management
                                                                          • -
                                                                          • Partner with Enterprise Data Governance Managers and Data Stewards to define and instrument metadata capture and storage for the CDE’s, evolve our enterprise business glossary, and facilitate the linkage between business definitions and the underlying technical metadata
                                                                          • -
                                                                          • Maintain and manage the processes around metadata repositories (data dictionary, business glossary) including data definitions, data dictionaries, data classification (identification of sensitive data) and data cataloging, to provide context and understanding of data assets.
                                                                          • -
                                                                          • Perform data profiling, data quality analysis and the development of data quality rules to support monitoring and remediation activities
                                                                          • -
                                                                          • Refine and implement the enterprise metadata management framework, inclusive of business, operational and technical metadata
                                                                          • -
                                                                          • Provide ongoing access, maintenance, usage, and technical support for our Data Governance Tool inventory including Collibra, Azure Purview
                                                                          • -
                                                                          • Contribute to the development of reporting requirements to monitor data compliance as well as KPIs and metrics to gauge the health and maturity of data governance program
                                                                          • -
                                                                          • Collaborate with business and D&T partners to find opportunities to improve data accuracy and ensure that data owners are accountable for remediation
                                                                          • -
                                                                          • Contribute to the development of appropriate materials, conducting training sessions and be the change advocates to drive data governance best practices
                                                                          • -
                                                                          • Provide inputs on the design and development of data models for data warehousing and cataloging projects
                                                                          • -
                                                                          • Work closely with Data & Technology team during the development of new information and data governance related applications, including requirements validation and testing
                                                                          • -
                                                                          • Primary point of contact for business partners to resolve data security & access issues
                                                                          • -
                                                                          • Educate employees and stakeholders on data governance practices and their importance in maintaining data quality and compliance
                                                                          • -
                                                                          +
                                                                          +

                                                                          The Business Analyst will analyze existing systems, as well as document requirements for new systems and new features and cultivate a business relationship that assists in meeting business demands. The individual must also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration as part of one or more product team(s).

                                                                          +

                                                                          +

                                                                          As a member of this team, you will be responsible for:

                                                                          +

                                                                          +

                                                                          Technical

                                                                          +
                                                                            +
                                                                          • Documenting existing business processes, looking for opportunities to create efficiencies, and ensuring that technical teams understand what to build to automate them

                                                                          • +
                                                                          • Analyzing an existing system’s functionality, data, and infrastructure, and how the system communicates with other systems

                                                                          • +
                                                                          • Understanding and deriving business value from data: analysing, preparing, formatting, and maintaining information

                                                                          • +
                                                                          • Identifying and defining detailed product requirements and use cases using various techniques, depending on the types of requirements being documented (e.g. user stories, requirements documents, use case diagrams, data flow diagrams, etc.)

                                                                          • +
                                                                          • Proficiency in data analysis tools (e.g. Power BI, Tableau, Excel).

                                                                          • +
                                                                          • Defining and executing business QA and UAT test plans, performing performance and integration tests and helping automate regression tests

                                                                          • +
                                                                          • Participating in solution delivery and support

                                                                          • +
                                                                          +

                                                                          -

                                                                          Qualifications:

                                                                          -
                                                                            -
                                                                          • Bachelor’s degree in engineering, math or a field related to information, data management, analytics or financial services.
                                                                          • -
                                                                          • 5+ years of technical experience in implementing data governance, data analytics or data quality tools
                                                                          • -
                                                                          • Hands on experience with tools such as Collibra, Informatica IICS, Microsoft Purview or similar ias a must for this role
                                                                          • -
                                                                          • -Knowledge and expertise in data governance technology, business process modeling, metadata, data lineage, data classification, data quality and enterprise implementation of data governance tools and solutions -
                                                                          • -
                                                                          • Experience in defining and building enterprise data management policies, processes, solutions, and associated documentation to strengthen data management
                                                                          • -
                                                                          • Experience with SQL, database applications MS SQL/ Oracle, and visualization tools such as Power BI and Tableau
                                                                          • -
                                                                          • Understanding of Cloud, Big Data technologies, architectural concepts - data lake, data warehouse, relational databases, data ingestion, ETL etc.
                                                                          • -
                                                                          • Knowledge and understanding of data regulations, privacy, ethical use, data sharing, critical data indicators, access management and data masking techniques
                                                                          • -
                                                                          • Excellent verbal and written communication to effectively articulate and communicate with both business and technical development teams
                                                                          • -
                                                                          • Experience in project management and the ability to lead data governance initiatives.
                                                                          • -
                                                                          • A team player with a good understanding of the Agile methodology and Change management
                                                                          • -
                                                                          +

                                                                          Organizational

                                                                          +
                                                                          +
                                                                            +
                                                                          • Collaborate with the Product Manager and team to understand and assist in the delivery of Product Roadmap goals

                                                                          • +
                                                                          • Operating in a hybrid Agile/Waterfall development environment

                                                                          • +
                                                                          • Communicating effectively with other analysts and various other partners such as product managers, data engineers, IT infrastructure specialists, security specialists, enterprise architects and members of senior management

                                                                          • +
                                                                          • Identifying, defining, and implementing opportunities for improving existing processes

                                                                          • +
                                                                          • Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery serving as a liaison to the business community

                                                                          • +
                                                                          • Detail the flow and transformation of data from sources through data repositories/warehouses to end user datamarts /applications

                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          +

                                                                          Requirements:

                                                                          +
                                                                            +
                                                                          • University degree or equivalent experience (Business/Finance, Financial Mathematics, Computer Science, Engineering)

                                                                          • +
                                                                          • 5+ years’ experience in eliciting business requirements and understanding the outcomes clients would like to achieve

                                                                          • +
                                                                          • Experience working in the Private Markets (Infrastructure and/or Private Equity) sector is advantageous

                                                                          • +
                                                                          • Experience in the agile development process and have a familiarity with requirements techniques such as user stories, sprints etc.

                                                                          • +
                                                                          • Functional experience in CRM systems (e.g. MS Dynamics 365 / Salesforce) and SharePoint Online would be beneficial.

                                                                          • +
                                                                          • Experience in defining and executing business QA and UAT processes / testing

                                                                          • +
                                                                          • Functional experience in data centric BI projects/products with extensive data insights preparation and presentation skills

                                                                          • +
                                                                          • Industry Knowledge of best practices - asking probing questions to understand the reasons for certain requirements, and communicating to technical teams accordingly

                                                                          • +
                                                                          • Relationship Building - consistent track record of building deep business relationships. Experience in aligning expectations across various partners

                                                                          • +
                                                                          • Teamwork - motivated and keen to work in a collaborative environment with a focus on team success

                                                                          • +
                                                                          +

                                                                          -

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

                                                                          +

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3-4 days per week.

                                                                          Our story:

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Data-Governance-Specialist_JR-5952?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-05-03T01:41:03.502Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/320134167-senior-data-governance-specialist-at-omers,,expired,2024-04-28T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -94b749d3-e86b-49cd-9654-13cac5665cfa,316217246,BMO Financial Group,"Senior Specialist, Climate Risk Analytics",on_site,"Ontario, Canada",2024-04-04T06:25:01.630Z,"
                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Business-Analyst--Private-Markets--Infrastructure-and-Private-Equity-_JR-5906?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-04-20T16:45:08.792Z,False,0,3,129,https://talenthub.vectorinstitute.ai/jobs/313621666-business-analyst-private-markets-infrastructure-and-private-equity-at-omers,,expired,2024-03-21T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +9bbaa706-f7b8-4108-b138-179d7f1d180f,327936970,BenchSci,"Staff Engineer - Machine Learning, NLP (Remote)",full,"Toronto, Ontario Remote",2024-06-09T16:41:01.784Z,"
                                                                          +
                                                                          +We are seeking a Staff Machine Learning Engineer to join our platform architecture team. This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery. You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development. Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research. +
                                                                          +

                                                                          +
                                                                          Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level). You will be responsible for the high-level design of technical solutions end to end. You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle.
                                                                          +
                                                                          +

                                                                          You will:

                                                                          +
                                                                              +
                                                                            • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
                                                                            • +
                                                                            • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
                                                                            • +
                                                                            • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
                                                                            • +
                                                                            • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
                                                                            • +
                                                                            • Continuously improve our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC.
                                                                            • +
                                                                            • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
                                                                            • +
                                                                            • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment. Participate and contribute to Agile grooming, planning and estimation.
                                                                            • +
                                                                            • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
                                                                            • +
                                                                            • Provide guidance to senior engineers and help to foster a culture of continuous growth.
                                                                            • +
                                                                            • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.
                                                                            • +
                                                                          +
                                                                          +

                                                                          You have:

                                                                          +
                                                                              +
                                                                            • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
                                                                            • +
                                                                            • Strong experience with NLP and LLMs. Strong experience with Python and programming fundamentals.
                                                                            • +
                                                                            • Extensive experience with PyTorch.
                                                                            • +
                                                                            • Track record of successfully delivering robust, scalable and production-ready ML models.
                                                                            • +
                                                                            • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
                                                                            • +
                                                                            • Experience with data manipulation and processing, such as SQL or pandas.
                                                                            • +
                                                                            • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
                                                                            • +
                                                                            • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
                                                                            • +
                                                                            • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
                                                                            • +
                                                                            • Strong cross-team communication and collaboration skills. A growth mindset and a constant desire to learn.
                                                                            • +
                                                                          +
                                                                          +
                                                                          Benefits and Perks:
                                                                          +
                                                                          An engaging remote-first culture
                                                                          +
                                                                          A great compensation package that includes BenchSci equity options
                                                                          +
                                                                          A robust vacation policy plus an additional vacation day every year
                                                                          +
                                                                          Company closures for 14 more days throughout the year
                                                                          +
                                                                          Flex time for sick days, personal days, and religious holidays
                                                                          +
                                                                          Comprehensive health and dental benefits.
                                                                          +
                                                                          Annual learning & development budget
                                                                          +
                                                                          A one-time home office set-up budget to use upon joining BenchSci
                                                                          +
                                                                          An annual lifestyle spending account allowance
                                                                          +
                                                                          Generous parental leave benefits with a top-up plan or paid time off options
                                                                          +
                                                                          The ability to save for your retirement coupled with a company match!
                                                                          +

                                                                          +
                                                                          About BenchSci:
                                                                          +
                                                                          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                                                          +
                                                                          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                                                          +

                                                                          +
                                                                          Our Culture:
                                                                          +
                                                                          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                                                          +
                                                                          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                                                          +
                                                                          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                                                          +

                                                                          +
                                                                          +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                                                          +

                                                                          +
                                                                          +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                                                          +

                                                                          +
                                                                          #LI-Remote
                                                                          +
                                                                          ",,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2024-06-13T17:42:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/327936970-staff-engineer-machine-learning-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/679e6f96-f00e-430a-8094-9229e34e0abc,expired,2024-06-09T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +988a1264-0d55-4cc5-b34b-4a1cb89549cc,326267711,BMO Financial Group,"Manager, Commercial Credit Risk Reporting",on_site,"Ontario, Canada",2024-05-31T01:07:02.078Z,"

                                                                          Application Deadline:

                                                                          06/13/2024

                                                                          Address:

                                                                          100 King Street West

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          The Senior Specialist, Climate Risk Analytics with have accountability for:

                                                                          -
                                                                            -
                                                                          • Intersection of climate risk with capital assessment and stress testing
                                                                          • -
                                                                          • Technology infrastructure requirements and testing
                                                                          • -
                                                                          • Data gathering and linkages to use in climate risk assessment
                                                                          • -
                                                                          • Support climate scenario analysis exercises
                                                                          • -
                                                                          +

                                                                          If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture.

                                                                          +

                                                                          #ERPMDreamJobs

                                                                          -

                                                                          Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                          +

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies through thoughtful analysis of large datasets and information, utilizing tools such as SQL, SAS, Microsoft SSRS, and Microsoft Power BI to provide Senior Management with essential insights to make actionable decisions. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                            -
                                                                          • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                          • -
                                                                          • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                          • -
                                                                          • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                          • -
                                                                          • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                          • -
                                                                          • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • -
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • -
                                                                          • Conducts quantitative research in risks across strategies and portfolios.
                                                                          • -
                                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                          • -
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                          • -
                                                                          • Implements changes in response to shifting trends.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.
                                                                          • -
                                                                          +
                                                                        • Acts as a trusted advisor to assigned business/group.

                                                                        • +
                                                                        • Influences and negotiates to achieve business objectives.

                                                                        • +
                                                                        • Recommends and implements solutions based on analysis of issues and implications for the business.

                                                                        • +
                                                                        • Assists in the development of strategic plans.

                                                                        • +
                                                                        • Identifies emerging issues and trends to inform decision-making.

                                                                        • +
                                                                        • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.

                                                                        • +
                                                                        • Helps determine business priorities and best sequence for execution of business/group strategy.

                                                                        • +
                                                                        • Conducts independent analysis and assessment to resolve strategic issues.

                                                                        • +
                                                                        • Leads the development and maintenance of the risk reporting framework.

                                                                        • +
                                                                        • Represents the risk reporting function during internal/external regulatory audits and/or examinations

                                                                        • +
                                                                        • Ensures alignment between stakeholders.

                                                                        • +
                                                                        • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

                                                                        • +
                                                                        • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

                                                                        • +
                                                                        • May provide specialized support for other internal and external regulatory requirements.

                                                                        • +
                                                                        • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.

                                                                        • +
                                                                        • Leads/participates in the design, implementation and management of core business/group processes.

                                                                        • +
                                                                        • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

                                                                        • +
                                                                        • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

                                                                        • +
                                                                        • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                                                                        • +
                                                                        • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.

                                                                        • +
                                                                        • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.

                                                                        • +
                                                                        • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                                                                        • +
                                                                        • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

                                                                        • +
                                                                        • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

                                                                        • +
                                                                        • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                                                                        • +
                                                                        • Provides information and supports the process for internal and external audits.

                                                                        • +
                                                                        • Gathers and formats data into regular and ad-hoc reports, and dashboards.

                                                                        • +
                                                                        • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

                                                                        • +
                                                                        • Builds effective relationships with internal/external stakeholders.

                                                                        • +
                                                                        • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                                                                        • +
                                                                        • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                                                                        • +
                                                                        • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

                                                                        • +
                                                                        • Organizes work information to ensure accuracy and completeness.

                                                                        • +
                                                                        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                        • +
                                                                        • Provides specialized consulting, analytical and technical support.

                                                                        • +
                                                                        • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                        • +
                                                                        • Works independently and regularly handles non-routine situations.

                                                                        • +
                                                                        • +

                                                                          Broader work or accountabilities may be assigned as needed.

                                                                          -

                                                                          Qualifications:

                                                                          -

                                                                          Intermediate level of proficiency:

                                                                          -
                                                                            -
                                                                          • Regulatory capital and stress testing.
                                                                          • -
                                                                          • Compliance and regulation.
                                                                          • -
                                                                          • Machine learning.
                                                                          • -
                                                                          • Learning Agility.
                                                                          • -
                                                                          • Systems Thinking.
                                                                          • +
                                                                          -

                                                                          Advanced level of proficiency:

                                                                          +

                                                                          Qualifications:

                                                                            -
                                                                          • Model risk management.
                                                                          • -
                                                                          • Data visualization.
                                                                          • -
                                                                          • Data wrangling.
                                                                          • -
                                                                          • Data preprocessing.
                                                                          • -
                                                                          • Critical thinking.
                                                                          • -
                                                                          • Driving Results.
                                                                          • -
                                                                          • Quantitative financial modeling.
                                                                          • -
                                                                          • Computational thinking and programming.
                                                                          • -
                                                                          • Verbal & written communication skills.
                                                                          • -
                                                                          • Analytical and problem solving skills.
                                                                          • -
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration.
                                                                          • -
                                                                          • Able to manage ambiguity.
                                                                          • -
                                                                          • Data driven decision making.
                                                                          • -
                                                                          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                          • -
                                                                          • Data driven decision making - In-depth / Expert.
                                                                          • +
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                                                          • +
                                                                          • In-depth knowledge of reporting & analytics concepts and applications such as SQL, SAS, Microsoft SSRS, and Power BI.

                                                                          • +
                                                                          • In-depth knowledge of risk management metrics, KPIs and KRIs.

                                                                          • +
                                                                          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.

                                                                          • +
                                                                          • In-depth product knowledge for the designated business/portfolio.

                                                                          • +
                                                                          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.

                                                                          • +
                                                                          • In-depth knowledge of reporting & analytics concepts and applications.

                                                                          • +
                                                                          • In-depth knowledge of risk systems technology.

                                                                          • +
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.

                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.

                                                                          • +
                                                                          • Collaboration & team skills - In-depth.

                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.

                                                                          • +
                                                                          • Influence skills - In-depth.

                                                                          • +
                                                                          • Data driven decision making - In-depth.

                                                                          Compensation and Benefits:

                                                                          -
                                                                          $100,800.00 - $187,200.00

                                                                          +
                                                                        • $68,000.00 - $126,000.00

                                                                          Pay Type:

                                                                          Salaried

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          @@ -68054,523 +68594,533 @@ Knowledge and expertise in data governance technology, business process modeling

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Specialist--Climate-Risk-Analytics_R240008584?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-04T17:21:15.764Z,False,0,2,81,https://talenthub.vectorinstitute.ai/jobs/316217246-senior-specialist-climate-risk-analytics-at-bmo-financial-group,,expired,2024-04-04T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -3115b887-c9ad-496e-9020-651d6e76ee9f,319369152,Scotiabank,"Manager, Creditor Customer & Campaign Analytics",on_site,Canada : Ontario : Toronto,2024-04-22T16:28:01.902Z,"

                                                                          -

                                                                          -

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager---Commercial-Credit-Risk-Reporting_R240014398-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-17T21:32:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/326267711-manager-commercial-credit-risk-reporting-at-bmo-financial-group,,expired,2024-05-31T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e4a5c918-f2e5-428b-9b9e-658e81344216,312215985,Scotiabank,"Remote - First Nations / Inuit / Metis - Manager, Data Governance",on_site,Canada : Ontario : Toronto,2024-03-14T16:26:02.997Z,"

                                                                          -

                                                                          Requisition ID: 197843

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Contributes to the overall success of the Insurance business in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                          -

                                                                          This position has primary accountability for needs analysis, design, implementation and ongoing management and usage of the customer and marketing data infrastructure for Creditor insurance products. In addition, participation in development of predictive modelling, data-mining, and advanced statistical marketing analytics for customer needs-analysis, behaviors and engagement.

                                                                          +

                                                                          Requisition ID: 195295

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          The incumbent is responsible for execution of customer database analytics to enable highly targeted delivery of multiple product offers across numerous integrated delivery channels. The position supports the design of new products, offers, and customer segments by synthesizing and analyzing customer data and results from database marketing campaigns. This position also designs, implements and maintains operational reporting for regulatory agencies, and implements and analyses operational and customer level reports for new sales and service opportunities.

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -
                                                                          • Support the Senior Manager in the execution of all Insurance projects covering customer insights generation, campaign management and customer level reporting. The Manager will be involved in different stages of projects from tracking, test design, list creation and delivery through multiple channels (email, digital, telemarketing), offer fulfilment, and campaign performance reporting to stakeholders and senior executives.
                                                                          • Lead development of recurring customer level reporting support key areas of the business
                                                                          • Develop a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers and manage channel preference and risk.
                                                                          • Interpret Creditor Insurance marketing and customer data to identify new opportunities on how to best target and appeal to customers.
                                                                          • Define, develop, and execute targeted campaigns to accelerate sales, reduce attrition and grow revenue.
                                                                          • Provide data discovery and deliver key actionable insights based on customer view of results.
                                                                          • Provide relevant high-quality lead extraction for campaign targeting (contact optimization) of marketing programs, particularly the use of control groups and related post-analysis.
                                                                          • Deliver timely, high quality customer campaigns/ initiatives (including lists requests, test design, campaign management, post campaign analyses and insights)
                                                                          • Develop Creditor Insurance customer analytics, reporting and dashboards with single view of customer to provide timely and accurate customer insights to key internal stakeholders. Audit and troubleshoot data problems, if needed
                                                                          • Synthesize data to identify trends and deliver key insights and business recommendations partnering with key internal stakeholders, including marketing, merchandizing and operations teams, to develop promotions and campaigns that drive sales to targeted customers
                                                                          • Support key information technology initiatives, such as enhancements in single view of customer, customer data warehouse, CRM and campaign management tools
                                                                          • Leverage SAS/Python and other tools to produce data sets, analyses, tabulations, graphics
                                                                          • Apply advanced analytical and statistical techniques to solve marketing questions
                                                                          • Assist in ad-hoc requests as required from the business
                                                                          • +
                                                                            • Support analytics teams with the data that will allow them to create and deliver products to optimize revenue growth
                                                                            • Improve customer experiences using predictive modeling and machine learning.
                                                                            • Manage maintenance of the Data Office’s data governance standards and data management playbooks and its alignment to related policies and standards
                                                                            • Provide consultative guidance.
                                                                            • Develop and support tools and procedures to measure alignment to standards and data management maturity.
                                                                            • Enable the Bank’s adoption of the Data Governance Framework and work with 2nd line and Audit to meet regulatory obligations.
                                                                            • Work to design and develop technical solutions for enterprise data pipelines and services.
                                                                            • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

                                                                            -

                                                                            -

                                                                            Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                            -
                                                                            • Degree in Mathematics, Computer Science, Statistics, Finance or Economics; Advanced Degree in Analytics/Business preferred
                                                                            • 4+ years experience in Analytics or MIS/Reporting, programming with SAS/SQL/Python/Spark as well as Power BI/Tableau
                                                                            • Strong knowledge and proficiency with building models and data infrastructures - data mining, data profiling, modeling, cleansing, enriching as well as extract, transform, load (ETL) solutions and scripting
                                                                            • Strong communication skills essential with clients, vendors and management
                                                                            • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                            • Certification in Python/SAS/SQL and PowerBI
                                                                            • Previous business line and banking experience
                                                                            • Expertise with dashboards, KPI, business metrics generation
                                                                            • +

                                                                              Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                              +


                                                                              +
                                                                              • You have 2+ years of experience in some of these areas, such as data management, data governance, data architecture or data engineering.
                                                                              • You have a university degree in business or in a relevant STEM discipline or equivalent experience.
                                                                              • Strong project management and communication skills (both oral and written).
                                                                              • Proven data literacy and excellent storytelling — The ability to simplify and describe complex data concepts to stakeholders outside of data.
                                                                              • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
                                                                              • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform).
                                                                              • You have experience using visualization tools like Power BI, Tableau or QlikView.

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Creditor-Customer-&-Campaign-Analytics-ON-M5C2W1/580254817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-09T16:33:04.223Z,False,0,6,43,https://talenthub.vectorinstitute.ai/jobs/319369152-manager-creditor-customer-campaign-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Creditor-Customer-&-Campaign-Analytics-ON-M5C2W1/580254817/,expired,2024-04-22T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -2cec402b-92de-4770-9265-f0bc39b09766,316690917,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2024-04-07T06:45:01.773Z,"
                                                                          -

                                                                          Why join us?

                                                                          -

                                                                          -

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          -

                                                                          We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                          -

                                                                          -

                                                                          Scope of Position: Support investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                          -

                                                                          -

                                                                          Responsibilities:

                                                                          -
                                                                            -
                                                                          • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                          • -
                                                                          • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                          • -
                                                                          • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                          • -
                                                                          • Automate manual processes and optimize data delivery
                                                                          • -
                                                                          • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                          • -
                                                                          • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                          • -
                                                                          • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                          • -
                                                                          • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                          • -
                                                                          • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Qualifications:

                                                                          -
                                                                            -
                                                                          • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                          • -
                                                                          • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                          • -
                                                                          • -Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar
                                                                          • -
                                                                          • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                          • -
                                                                          • Deep proficiency in SQL, Python, and similar languages
                                                                          • -
                                                                          • Good understanding of investment products
                                                                          • -
                                                                          • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                          • -
                                                                          • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                          • -
                                                                          • Investment data modeling experience using the Kimball method is an asset
                                                                          • -
                                                                          • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                          • -
                                                                          • Data governance experience is an asset
                                                                          • -
                                                                          • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                          • -
                                                                          -

                                                                          -

                                                                          And you demonstrate:

                                                                          -
                                                                            -
                                                                          • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                          • -
                                                                          • A teammate mentality coupled with servant leadership
                                                                          • -
                                                                          • A sense of urgency, optimism, and a desire to deliver excellence
                                                                          • -
                                                                          • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                          • -
                                                                          • Strong orientation towards strategy, change, and results
                                                                          • -
                                                                          • A continuous improvement mindset
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Our story:

                                                                          -

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          What's in it for you?

                                                                          -

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data_JR-5697-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-05-09T16:05:24.422Z,False,0,11,151,https://talenthub.vectorinstitute.ai/jobs/316690917-data-engineer-finance-data-at-omers,,expired,2024-04-07T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -507d069d-6760-4d01-9e55-ba4708e1f299,326118271,Borealis AI,Senior Research Engineer - Capital Markets,on_site,"Ontario, Canada",2024-05-30T01:29:01.642Z,"
                                                                          -

                                                                          What’s the opportunity?

                                                                          -

                                                                          Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

                                                                          -

                                                                          Your responsibilities include:

                                                                          -
                                                                            -
                                                                          • Providing technical leadership throughout the research and product development lifecycle to deliver cutting edge AI solutions;
                                                                          • -
                                                                          • Partnering with Borealis AI’s business, product, research, and engineering teams to ensure the seamless delivery of these products;
                                                                          • -
                                                                          • Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
                                                                          • -
                                                                          • Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI’s products;
                                                                          • -
                                                                          • Supporting projects with thorough documentation, design decisions, and technical advisory.
                                                                          • -
                                                                          -

                                                                          You’re our ideal candidate if you have:

                                                                          -
                                                                            -
                                                                          • Ability to independently drive the ML research process, including engineering novel relevant features, integrating mixed data sources, applying off-the-shelf ML models when appropriate, and inventing/developing new ML models when necessary;
                                                                          • -
                                                                          • Ability to approximate real-world business concepts with mathematical models and leverage those models to drive ML design process;
                                                                          • -
                                                                          • Ability to manage large numbers of ML experiments across shared resources;
                                                                          • -
                                                                          • Proficient in Python, data science tooling, and deep learning frameworks;
                                                                          • -
                                                                          • Firm grasp of the ML modelling process, including underfitting/overfitting, regularization, and different loss functions and model selection metrics and their tradeoffs;
                                                                          • -
                                                                          • Ability to collaborate with colleagues spanning a mix of business, product, engineering, and research teams through both written and oral communications.
                                                                          • -
                                                                          -

                                                                          Any of these additional skills would also be helpful in this role:

                                                                          -
                                                                            -
                                                                          • Familiarity with a wide variety of (deep and classical) ML methods, including an understanding of different models’ pros and cons;
                                                                          • -
                                                                          • Familiarity with feature importance methods;
                                                                          • -
                                                                          • Experience with automated ML methods;
                                                                          • -
                                                                          • Experience monitoring and maintaining a production ML system operating continuously in real time;
                                                                          • -
                                                                          • Experience working with time series data, especially highly stochastic and/or non-stationary processes;
                                                                          • -
                                                                          • Experience with signal processing and/or understanding of information theory;
                                                                          • -
                                                                          • Experience with statistical hypothesis testing, scientific experimental techniques, A/B testing, or similar;
                                                                          • -
                                                                          • Experience with algorithmic trading, KDB/q, price prediction/alpha generation, or financial machine learning.
                                                                          • -
                                                                          -

                                                                          What’s in it for you?

                                                                          -
                                                                            -
                                                                          • Be part of a dynamic & flexible working environment;
                                                                          • -
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock options where applicable;
                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • -
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                            • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                            • A rewarding career path with diverse opportunities for professional development
                                                                            • Internal training to support your growth and enhance your skills.
                                                                            • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                            • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
                                                                            • Hybrid Work Environment
                                                                            • Indigenous Specific Benefits
                                                                            • $10,000 CAD annually dedicated to mental health benefits
                                                                            • Traditional Indigenous Practices Leave
                                                                            • Indigenous Employee Mentoring Program
                                                                            -

                                                                            About Borealis AI

                                                                            -
                                                                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre
                                                                            -
                                                                            dedicated to achieving state-of-the-art in machine learning. Established in 2016,
                                                                            -
                                                                            and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic
                                                                            -
                                                                            collaborations and partner with world-class research centres in artificial intelligence.
                                                                            -
                                                                            With a focus on ethical AI that will help communities thrive, our machine learning
                                                                            -
                                                                            scientists perform fundamental and applied research in areas such as reinforcement
                                                                            -
                                                                            learning, natural language processing, deep learning, and unsupervised learning to
                                                                            -
                                                                            solve ground-breaking problems in diverse fields.
                                                                            -

                                                                            Inclusion and Equal Opportunity Employment

                                                                            -

                                                                            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

                                                                            -

                                                                            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                            +


                                                                            -
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=7302672002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-06-29T18:34:41.502Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/326118271-senior-research-engineer-capital-markets-at-borealis-ai,,expired,2024-05-30T01:29:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -86f44f7d-34ae-4384-8d60-f776fa5ad342,327488012,Google,"Senior Technical Sales Specialist, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2024-06-07T01:14:01.565Z,"
                                                                          -
                                                                          -

                                                                          Minimum qualifications:
                                                                          -

                                                                          -
                                                                          -
                                                                          -
                                                                            -
                                                                          • Bachelor\'s degree in Computer Science or equivalent practical experience.
                                                                            -
                                                                          • -
                                                                          • 7 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                                                            -
                                                                          • -
                                                                          • Experience delivering technical presentations and live demonstrations in an enterprise business environment.
                                                                            -
                                                                          • -
                                                                          • Experience with traditional Big Data technologies, Analytic Warehousing technologies, data processing technologies, performance and scalability optimizations.
                                                                            -
                                                                          • -
                                                                          -

                                                                          Preferred qualifications:

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Remote-First-Nations-Inuit-Metis-Manager%2C-Data-Governance-ON-M5H1H1/579142917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-13T17:33:02.196Z,False,0,3,55,https://talenthub.vectorinstitute.ai/jobs/312215985-remote-first-nations-inuit-metis-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Remote-First-Nations-Inuit-Metis-Manager%2C-Data-Governance-ON-M5H1H1/579142917/,expired,2024-03-14T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2b339fd3-5388-45d8-a9df-edf0fcf49865,316347372,Thomson Reuters,"Data Analyst, Product Analytics",on_site,"Toronto, ON, Canada",2024-04-04T19:15:44.665Z,"

                                                                          Data Analyst, Product Analytics

                                                                          If you’re an experienced data analyst who is ready to take on the challenge of collaborating with stakeholders, delivering insights through data-driven storytelling, and driving analytics initiatives, this could be the right job for you.
                                                                          Thomson Reuters is seeking a Data Analyst for the Tax and Accounting product analytics team. The analyst works as an extension of the product team and collaborates closely with design teams and senior analysts, to support upcoming decisions and long-term goals.

                                                                          This role is part of the Thomson Reuters Product Analytics team, a group of approximately 20 analysts of varied backgrounds who share ideas, best practices, and learnings with each other. This is an ideal role for a product or business analyst who is great with data, has some experience with stakeholders, and analytics initiatives, and is ready to take the next step in their career.

                                                                          About the Role
                                                                          In this opportunity as a Data Analyst - Product Analytics, you will:

                                                                            -
                                                                          • Experience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.
                                                                            -
                                                                          • -
                                                                          • Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
                                                                            -
                                                                          • -
                                                                          • Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
                                                                            -
                                                                          • -
                                                                          • Knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, competitive dynamics, and customer buying behavior.
                                                                            -
                                                                          • +
                                                                          • Implementation: Partner with senior analysts to establish measurement plans and then work with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure the right metrics, journeys, and events are captured in-product
                                                                          • +
                                                                          • Center of Excellence: Partner with product teams to define and maintain support processes
                                                                          • +
                                                                          • Improve Product: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities
                                                                          • +
                                                                          • BI/Reporting: Partner with BI teams and other analysts to build dashboards and reports, including baselines and trends for page performance, feature usage, and customer segments
                                                                          • +
                                                                          • Thought Leadership: Demonstrate thought leadership by leveraging analyses to understand products, derive insights, run experiments, and deliver business and customer outcomes
                                                                          -
                                                                          -
                                                                          -

                                                                          About the job

                                                                          -

                                                                          The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                                          -

                                                                          Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                          -
                                                                          -
                                                                          -

                                                                          Responsibilities

                                                                          +


                                                                          About You
                                                                          You're a fit for the role of Data Analyst - Product Analytics if your background includes:

                                                                            -
                                                                          • Support local Sales teams in pursuit of key business opportunities and engaging customers to address aspects of the data lifecycle.
                                                                          • -
                                                                          • Identify business and technical requirements, conduct full technical discovery, and design client solutions to meet gathered requirements.
                                                                          • -
                                                                          • Lead technical projects, including activities such as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
                                                                          • -
                                                                          • Prepare and deliver product messaging to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and Request for Information (RFI) response documents.
                                                                            -
                                                                          • -
                                                                          • Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required for meetings, technical reviews, and onsite delivery activities.
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                          -

                                                                          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                          -

                                                                          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                          -

                                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                          -

                                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                          -
                                                                          -
                                                                          ",,https://www.google.com/about/careers/applications/jobs/results/102033369901998790-senior-technical-sales-specialist-data-analytics-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-27T11:24:03.349Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/327488012-senior-technical-sales-specialist-data-analytics-google-cloud-at-google,,expired,2024-06-07T01:14:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -099a6313-eedd-4c8e-a7a6-60b049d17c5b,337289268,Deloitte,Data Scientist,on_site,"Ontario, Canada",2024-08-08T16:35:02.244Z,"

                                                                          -

                                                                          Job Type: Permanent
                                                                          Work Model:
                                                                          Hybrid
                                                                          Reference code:
                                                                          126898
                                                                          Primary Location:
                                                                          Toronto, ON
                                                                          All Available Locations:
                                                                          Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

                                                                          -
                                                                          -

                                                                          -

                                                                          Our Purpose

                                                                          -

                                                                          -

                                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                          -

                                                                          By living our Purpose, we will make an impact that matters.

                                                                          -
                                                                          • Learn from deep subject matter experts through mentoring and on the job coaching
                                                                          • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                                          • Be encouraged to deepen your technical skills…whatever those may be.
                                                                          • Build your leadership skills at Deloitte University.
                                                                          • Have many careers in one Firm.
                                                                          • Partner with clients to solve their most complex problems
                                                                          • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                                          • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                                          • Experience a firm where wellness matters.
                                                                          • Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                                          • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                                          • Build a network of colleagues for life
                                                                          • Have an impact that matters through pro bono and significant volunteer opportunities.
                                                                          • Be empowered to lead and have impact with clients, our communities and in the office.
                                                                          • Be expected to share your ideas and to make them a reality.
                                                                          • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                                          • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
                                                                          • +
                                                                          • 2-4 years of hands-on product analytics experience with exposure to agile/scrum processes, product backlog grooming, etc.
                                                                          • +
                                                                          • 2+ years of experience using SQL; building and documenting queries for consistent team use.
                                                                          • +
                                                                          • 2+ years of experience using Alteryx or other ETL tools.
                                                                          • +
                                                                          • 2+ years of building data visualizations with products like Tableau, MS Power BI, or similar.
                                                                          • +
                                                                          • 2+ years of experience driving data-driven decision-making within product teams going beyond report generation to deliver insights. Experience with analyses such as customer journey mapping, audience profiling/segmentation, cohort analysis, tag management, and A/B testing.
                                                                          • +
                                                                          • Demonstrated experience using statistical packages within Python/R to analyze structured and unstructured datasets and deliver insights on product usage and performance.
                                                                          • +
                                                                          • Exposure to product analytics tools such as Pendo, Amplitude, Adobe Analytics, and Google Analytics is an asset.
                                                                          • +
                                                                          • Building and maintaining support processes. Jira, MS Azure Dev Ops, and MS SharePoint experience is an asset.
                                                                          • +
                                                                          • Strong communication skills, including experience in supporting and communicating data-driven analyses to various departments and stakeholders.
                                                                          • +
                                                                          • Tax or Accounting subscription products experience is an asset.
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          --

                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          What will your typical day look like?

                                                                          -

                                                                          As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for model development, statistical and mathematical computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                                          -
                                                                          -
                                                                          -

                                                                          About the team

                                                                          -

                                                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes

                                                                          -
                                                                          -
                                                                          -

                                                                          Enough about us, let’s talk about you

                                                                          -
                                                                          • Data analysis and programming experience using Python
                                                                          • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
                                                                          • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                                          • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                                          • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                                          • Experience with optimization modelling and/or natural language processing and/or social media analytics is an asset
                                                                          • Strong experience with Machine Learning Project management experience is an asset
                                                                          • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                                          • Enthusiastic about solving complex problems with a variety of analytical tools
                                                                          • Professional services, consulting, or advisory experience is an asset
                                                                          • Strong oral and written communication skills
                                                                          • Interest in continuing to develop analytical and business development skills
                                                                          • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, Mathematical Physics or related field is required.
                                                                          • Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          Total Rewards

                                                                          -


                                                                          The salary range for this position is $57,000 - $102,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          -
                                                                          -
                                                                          -

                                                                          -

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          -

                                                                          -

                                                                          Be yourself, and more.

                                                                          -

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          -

                                                                          You shape how we make impact.

                                                                          -

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                                                                          -

                                                                          Be the leader you want to be

                                                                          -

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          -

                                                                          Have as many careers as you want.

                                                                          -

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                                                                          The next step is yours

                                                                          -

                                                                          -

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          -

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          -

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          -

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-ON/1199571500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-08-22T16:40:03.590Z,False,0,14,81,https://talenthub.vectorinstitute.ai/jobs/337289268-data-scientist-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-ON/1199571500/,expired,2024-08-08T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -2b51cfe0-3eb4-4e0d-a045-dc69a5d6c7f7,335347545,Cohere AI,"Manager of Technical Staff, Search",on_site,"Toronto, ON, Canada",2024-07-25T16:41:01.961Z,"
                                                                          -
                                                                          Who are we?
                                                                          -
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          -

                                                                          -
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          -

                                                                          -
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          -

                                                                          -
                                                                          Join us on our mission and shape the future!
                                                                          -

                                                                          -
                                                                          Why this role?
                                                                          -
                                                                          We are looking for talented individual to help us lead a team within our Search org that develops state-of-the-art models for information retrieval. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.
                                                                          -

                                                                          -
                                                                          Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.
                                                                          -

                                                                          -
                                                                          We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.
                                                                          -

                                                                          -
                                                                          -

                                                                          As a Manager of Technical Staff on this team, you will:

                                                                          -
                                                                              -
                                                                            • Partner with our Product and Leadership teams, defining project requirements, timelines, and deliverables.
                                                                            • -
                                                                            • Collaborate cross-functionally with our platform, biz, sales, and marketing teams.
                                                                            • -
                                                                            • Design, train and improve upon cutting-edge search models.
                                                                            • -
                                                                            • Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
                                                                            • -
                                                                            • Work closely with model serving team to ensure that inference is fast and stable.
                                                                            • -
                                                                            • Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.
                                                                            • -
                                                                            • Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!
                                                                            • -
                                                                          -
                                                                          -

                                                                          You may be a good fit if you have:

                                                                          -
                                                                              -
                                                                            • Lead and managed teams of highly technical engineers and researchers. Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                                            • -
                                                                            • Experience training representation models, or using text embeddings in downstream tasks.
                                                                            • -
                                                                            • Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
                                                                            • -
                                                                            • Familiarity with autoregressive sequence models, such as Transformers.
                                                                            • -
                                                                            • Strong communication and problem-solving skills.
                                                                            • -

                                                                              -
                                                                              Bonus points for:
                                                                              -
                                                                            • Proficiency in other programming languages, such as C++ or Golang.
                                                                            • -
                                                                            • Experience using large-scale distributed training strategies with GPUs.
                                                                            • -

                                                                              -
                                                                              * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                              -
                                                                          -
                                                                          -
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          -

                                                                          -
                                                                          -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                                                                          -

                                                                          -
                                                                          Our Perks:
                                                                          -
                                                                          🤝 An open and inclusive culture and work environment
                                                                          -
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          -
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          -
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          -
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          -
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          -
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          -
                                                                          ✈️ 6 weeks of vacation
                                                                          -

                                                                          -
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          -
                                                                          ",,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,feed-importer@jobboard.io,,,,2024-08-22T16:46:02.804Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/335347545-manager-of-technical-staff-search-at-cohere-ai,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,expired,2024-07-25T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, -b795bf17-21c1-454c-9f52-548c627c801e,338160098,BMO Financial Group,"Manager, Risk Reporting and Loss Forecasting",on_site,"Ontario, Canada",2024-08-15T07:38:19.417Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          08/20/2024

                                                                          +

                                                                          +

                                                                          What's in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected
                                                                          Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                                          Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                                          Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                                          Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.
                                                                          Purpose-Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          #LI-SS

                                                                          +

                                                                          +


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ175544/Data-Analyst-Product-Analytics,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-04-15T21:28:00.000Z,False,0,15,147,https://talenthub.vectorinstitute.ai/jobs/316347372-data-analyst-product-analytics-at-thomson-reuters,,expired,2024-04-04T19:15:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +1149d261-f2a6-4b37-a125-d9ad4677cfcf,316217240,CIBC,"Senior Consultant, Data and Records Governance (6 month)",on_site,"Ontario, Canada",2024-04-04T06:24:03.100Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                          +

                                                                          What you’ll be doing

                                                                          +

                                                                          +

                                                                          Reporting to the Director, Governance and Controls, the role will provide leadership and highly specialized consultation related to Records and Data Management for PC&B (People, Culture & Brand), and provide governance support to PC&B lines of business (LOBs) to ensure compliance with CIBC’s Data Lifecycle Management, Data Governance, and Records Management Policy. In addition, the role will support PC&B with the creation and sustainment of processes (e.g., key and non-key controls) to ensure PC&B is compliant with CIBC’s ​​​​​​​Control and Deficiency Management policies and guidelines. The role will also provide support to PC&B LOBs with regulatory reporting requests, deficiency management, internal audits, and executing requirements of CIBC’s Operational Risk Management Programs (e.g., Change Initiative Risk Assessment (CIRA), Risk Control Self Assessments (RCSA), Incident Reporting).

                                                                          +

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-2 days per week on-site, while other days will be remote.

                                                                          +

                                                                          +

                                                                          How you’ll succeed

                                                                            -
                                                                          • Acts as a trusted advisor to assigned business/group.
                                                                          • -
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • -
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • -
                                                                          • Assists in the development of strategic plans.
                                                                          • -
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. -
                                                                          • -
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                          • -
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.
                                                                          • -
                                                                          • Leads the development and maintenance of the risk reporting framework.
                                                                          • -
                                                                          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                                                          • -
                                                                          • Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                                                                          • -
                                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                          • -
                                                                          • May provide specialized support for other internal and external regulatory requirements.
                                                                          • -
                                                                          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                                                                          • -
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • -
                                                                          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                                          • -
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                                          • -
                                                                          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                                          • -
                                                                          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                                          • -
                                                                          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                                          • -
                                                                          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                                                                          • -
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                          • -
                                                                          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                                          • -
                                                                          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                                          • -
                                                                          • Provides information and supports the process for internal and external audits.
                                                                          • -
                                                                          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                                          • -
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders.
                                                                          • -
                                                                          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                                          • -
                                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                          • -
                                                                          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                          • -
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                            -
                                                                          • -
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • In-depth knowledge of risk management metrics, KPIs and KRIs.
                                                                          • -
                                                                          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • -
                                                                          • In-depth product knowledge for the designated business/portfolio.
                                                                          • -
                                                                          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • -
                                                                          • In-depth knowledge of reporting & analytics concepts and applications.
                                                                          • -
                                                                          • In-depth knowledge of risk systems technology.
                                                                          • -
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • -
                                                                          • Collaboration & team skills - In-depth.
                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • -
                                                                          • Influence skills - In-depth.
                                                                          • -
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          • Records and Data Management Governance – Act as the PC&B-wide integrator and centralized subject matter expert to ensure PC&B is compliant with the CIBC Data Lifecycle Management, Data Governance, and Records Management Policy. This will require partnering with the PC&B Senior Records Officers (SROs), the PC&B Data Governance team and other partners on records and data related matters, such as rolling out policy and standard changes in a consistent and coordinated manner.

                                                                          • +
                                                                          • PC&B Governance & Controls Support – Provide advice and guidance to PC&B partners regarding governance and control matters. Act as relationship lead with the Enterprise Data Records Management Office (EDRMO) for PC&B and liaise with Risk Management, Compliance, Internal Audit and other PC&B partners in the maintenance and/or closures of deficiencies, opening and monitoring of controls, and to support internal audits.

                                                                          • +
                                                                          • PC&B Portfolio Risk Management Support – Provide Risk Management support and guidance to PC&B LOBs specific to records and data management, and ensure compliance with the Operational Risk Management Program Requirements (e.g., CIRA, RCSA, Incident Reporting).

                                                                          • +
                                                                          • Reporting – Assist the management team with reporting (e.g., governance reporting, regulatory requests), as required.

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Who you are

                                                                          +
                                                                            +
                                                                          • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                                                          • +
                                                                          • You\'re passionate about people. You find meaning in relationships, and surround yourself with a diverse network of partners. You build trust through respect and authenticity.

                                                                          • +
                                                                          • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                          • +
                                                                          • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to synthesize information and communicate detailed information in an impactful way.

                                                                          • +
                                                                          • You act like an owner. You thrive when you’re empowered to take the lead, go above and beyond, and deliver results.

                                                                          • +
                                                                          • You can demonstrate experience in records management, data management, risk management and/or governance and controls.

                                                                          • +
                                                                          • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork and accountability.

                                                                          -

                                                                          -

                                                                          Salary:

                                                                          -
                                                                          $68,000.00 - $126,000.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          What CIBC Offers

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                          +
                                                                            +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +

                                                                          +

                                                                          *Subject to program terms and conditions

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          What you need to know

                                                                          +
                                                                            +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • +

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          Expected End Date

                                                                          2024-10-31

                                                                          +

                                                                          Job Location

                                                                          Toronto-81 Bay, 34th Floor

                                                                          +

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          +

                                                                          Weekly Hours

                                                                          37.5

                                                                          +

                                                                          Skills

                                                                          Business Controlling, Client Relationship Management, Compliance Monitoring, Group Problem Solving, HR Analytics, Project Management, Regulatory Requirements, Risk Management Assessment, Work Collaboratively
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Data-and-Records-Governance--6-month-_2407792?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-04-15T21:57:00.000Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/316217240-senior-consultant-data-and-records-governance-6-month-at-cibc,,expired,2024-04-04T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +22120dbf-3255-4e4c-9942-85f893b3fec1,312711899,Vector Institute,"Director, Data Strategy and Partnerships",on_site,"Ontario, Canada",2024-03-17T06:42:01.527Z,"

                                                                          POSITION SUMMARY

                                                                          +

                                                                          Director, Data Strategy and Partnerships

                                                                          +

                                                                          The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to working across sectors to advance AI application, adoption, and commercialization across Canada.

                                                                          +

                                                                          The Vector Institute is seeking a Director, Data Strategy and Partnerships to join our team in Toronto. Reporting to the Chief Data Officer, the successful candidate will work cross-functionally across Vector’s Health and Technology, Industry, AI Engineering, and Research and Academic Operations work streams and with external stakeholders to:

                                                                          +
                                                                            +
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • +
                                                                          • Foster existing and new data partnerships with public and private sector stakeholders to further Vector’s mission; and,

                                                                          • +
                                                                          • Lead Vector’s data governance program spanning Vector’s private and secure Data and Analytics Environments and business operations.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Profile of the Ideal Candidate

                                                                          +

                                                                          A results-driven and strategic thinker who understands the AI product life cycle and the complexities of accessing sensitive data for the purposes of AI and ML research, innovation, and education. You have a strong track record of identifying and fostering collaborative data sharing partnerships and experience driving continuous quality improvement of policies, processes, and implementation of data governance, management, and privacy best practices.

                                                                          +

                                                                          You are an effective team leader, with experience leading highly qualified and diverse staff to work together on common goals and successfully meet and advance business objectives. Your leadership and interpersonal skills allow you to navigate, develop, and nurture relationships with internal and external stakeholders. You are comfortable representing Vector as a thought leader in this space at events and in the media.

                                                                          +

                                                                          Key Responsibilities

                                                                          +
                                                                            +
                                                                          • Lead the evolution and implementation of Vector’s data strategy;

                                                                          • +
                                                                          • Identify, establish, and evolve partnerships between Vector and data holding organizations;

                                                                          • +
                                                                          • Drive data sharing projects between Vector and its public and private sector partners;

                                                                          • +
                                                                          • Lead on data governance best practices and legal requirements for sensitive data to be used in AI/ML discovery;

                                                                          • +
                                                                          • Oversee the development and operationalization of organizational data governance, stewardship and management policies, standard operating procedures, and best practices;

                                                                          • +
                                                                          • Provide leadership to, and supervise the portfolio of a Project Manager and Data Steward in executing respective responsibilities and advancement of deliverables; and,

                                                                          • +
                                                                          • Other related duties as assigned.

                                                                          • +
                                                                          +

                                                                          +


                                                                          +

                                                                          Key Success Measures

                                                                          +

                                                                          +
                                                                            +
                                                                          • High impact data assets are available to Vector’s community for AI research, innovation, and education activities.

                                                                          • +
                                                                          • Streamlined operational and sustainable data governance best practices .

                                                                          • +
                                                                          • Stakeholder feedback, via informal and formal feedback mechanisms to ensure that Vector’s investments in data and infrastructure add value to the AI ecosystem.

                                                                          • +
                                                                          • AI projects, led by Vector and others, that turn data into knowledge and benefit society .

                                                                          • +
                                                                          • Contribution of Vector’s data strategy to Vector’s vision and mission through close coordination with its work streams and stakeholders.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Skills and Experience

                                                                          +


                                                                          +
                                                                            +
                                                                          • Holds, at minimum, a graduate degree in a business, AI/ML, health, technical, or related field.

                                                                          • +
                                                                          • Minimum five years of experience successfully managing all operational aspects of a data strategy and/or data management program, ideally in the technology sector(s).

                                                                          • +
                                                                          • Demonstrated success with implementation of organizational strategic plans and effective business processes including evaluation and prioritization of opportunities.

                                                                          • +
                                                                          • In-depth knowledge of data governance and legal requirements as they relate to use of sensitive data (including health) to advance AI/ML research, innovation, and education activities.

                                                                          • +
                                                                          • An understanding of responsible AI and benefits of applied AI research to society.

                                                                          • +
                                                                          • Experience with working with multi-disciplinary stakeholders, prioritizing conflicting needs, managing limited resources, building multi-disciplinary project teams, handling matters expeditiously, and following through on tasks to successful completion.

                                                                          • +
                                                                          • Experience in people management is considered an asset.

                                                                          • +
                                                                          • Possesses exceptional verbal and written English communication skills, effective in presenting to a diverse set of stakeholders.

                                                                          • +
                                                                          • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and is motivated by continuous learning and the desire to make a difference and a real contribution to development and deployment of safe and trustworthy AI.

                                                                          • +
                                                                          +



                                                                          +

                                                                          At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                          +

                                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478892&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-04-17T13:07:57.140Z,False,0,2,122,https://talenthub.vectorinstitute.ai/jobs/312711899-director-data-strategy-and-partnerships-at-vector-institute,,expired,2024-03-17T06:42:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Director,Masters Degree,New Posting, +e4957ff8-2780-436a-aa32-1b8545e04f0b,306574034,RBC,"Manager, Data Engineering",on_site,"Toronto, ON, Canada",2024-02-15T06:29:01.856Z,"
                                                                          +

                                                                          Job Summary

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-22T19:08:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/338160098-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -dfba7a0d-cedf-4d47-bfda-8657bae6410a,337553716,Roche,Data and Analytics (D&A) Data Engineer,on_site,"Mississauga, ON, Canada",2024-08-10T13:57:31.885Z,"

                                                                          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

                                                                          -

                                                                          Creating a world where we all have more time with the people we love.

                                                                          -

                                                                          That’s what makes us Roche.

                                                                          -

                                                                          The ideal candidate is a proactive self-starter with robust programming expertise and a curiosity about innovative thinking. They are passionate about data and have a consistent track record of delivering successful projects. In this role, they will focus on building data pipelines, integrating diverse data sources, and creating innovative AI models, driving our mission to harness data for ground-breaking solutions.

                                                                          -

                                                                          The Opportunity

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          RBC Canadian Banking Operations (CBO) Data and Analytics Center of Excellence (COE) is hiring a Manager, Data and Analytics COE that will lead the enhancement of our data foundation through the engineering of critical data pipelines supporting strategic insights for CBO using cutting edge data capabilities.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • Translate business requirements into data models and data warehousing layers on AWS to support APIs, visualization tools, and data analytics.
                                                                          • -
                                                                          • Implement ETL pipelines to extract and load data into and from databases; automate manual processes.
                                                                          • -
                                                                          • Evaluate and participate in designing sprints for database/data warehouse solutions as the organization grows.
                                                                          • -
                                                                          • Support highly performant APIs, visualization tools, and data analytics while ensuring alignment to FAIR data principles.
                                                                          • -
                                                                          • Provide technical mentorship and cross-training to peers and team members; collaborate with multidisciplinary teams to ensure data acquisition, integrity, availability, and security.
                                                                          • -
                                                                          • Contribute to the development and implementation of Roche DIA’s Enterprise Data Management strategy; understand sophisticated scientific problems and develop reliable solutions.
                                                                          • -
                                                                          • Leverage experience with genomics data, data modeling, ontologies, and strong technical communication skills in a collaborative and dynamic research environment.
                                                                          • +
                                                                          • Develop and maintain the automated data pipelines and infrastructure necessary to enabling the measurement of operations performance through single-source-of-truth datasets.
                                                                          • +
                                                                          • Partner with business intelligence and workforce analytics teams to accelerate speed to strategic decision-making with quicker insight delivery through data engineering and support.
                                                                          • +
                                                                          • Collaborate with business partners to understand and develop requirements for the ingestion and transformation of source-system data into meaningful and relatable performance datasets.
                                                                          • +
                                                                          • Ensure sound governance and controls are in place for all data pipelines including adherence to documentation standards.
                                                                          -

                                                                          Who you are

                                                                          +

                                                                          +

                                                                          What will you need to succeed?
                                                                          Must-have

                                                                            -
                                                                          • You have completed a Bachelor’s degree in Management Information Systems, Computer Science, Analytics, or equivalent and at least 3 years of relevant experience in data engineering and/or business intelligence.
                                                                          • -
                                                                          • You have experience with programming languages such as Nextflow, Conda, Java, or Python for developing data pipelines.
                                                                          • -
                                                                          • You bring operationalization experience in Data Science projects (MLOps) using popular frameworks or platforms like Kubeflow, AWS Sagemaker, Google AI Platform, h2O, etc.
                                                                          • -
                                                                          • You have advanced experience in working with graph or relational databases, query authoring, and delivering data-models and pipelines using cloud services and architectures.
                                                                          • +
                                                                          • Excellent analytical and problem solving skills
                                                                          • +
                                                                          • Demonstrated capability of leveraging SQL and Python to solve data problems
                                                                          • +
                                                                          • Knowledge of and experience in design, development, and implementation utilizing big data technologies - Hadoop, Spark, Datameer, Teradata, SQL databases
                                                                          • +
                                                                          • Ability to effectively communicate, verbally and in writing, technical concepts to a non-technical audience
                                                                          • +
                                                                          • Comfort dealing with ambiguity and working independently.
                                                                          • +
                                                                          • Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing
                                                                          • +
                                                                          • Solid experience in software development lifecycle and working knowledge of DevOps pipelines (GitHub, Jenkins, UCD/Helios)
                                                                          • +
                                                                          • Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms.
                                                                          -

                                                                          Relocation benefits are not available for this posting.

                                                                          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-and-Analytics--D-A--Data-Engineer_202407-116755,stacey.mancuso@roche.com,https://www.roche.com/careers.htm,,,2024-08-22T19:08:00.000Z,False,0,8,30,https://talenthub.vectorinstitute.ai/jobs/337553716-data-and-analytics-d-a-data-engineer-at-roche,,expired,2024-08-10T13:57:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -3d73e4e7-7653-4af7-8896-2a8426349183,335777732,Ada,"Engineering Manager, Application Engineering",on_site,"Ontario, Canada",2024-07-29T06:14:02.425Z,"
                                                                          -
                                                                          -
                                                                          -
                                                                          At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
                                                                          -
                                                                          -
                                                                          Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx -
                                                                          +

                                                                          +

                                                                          Nice-to-have

                                                                          +
                                                                            +
                                                                          • BSc. or Masters in Mathematics, Statistics, Engineering or Computer Science is preferred
                                                                          • +
                                                                          • Experience automating routine reporting work
                                                                          • +
                                                                          • Experience within Canadian Banking Operations
                                                                          • +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • Work in a safe, secure and positive work environment
                                                                          • +
                                                                          • Work with a dynamic team focused on innovation and collaboration
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Actuarial Modeling, Big Data, Big Data Technologies, Business Acumen, Computer Science, Data Analysis, Data Engineering, Data Management, Data Mining, Data Pipelines, Data Science, Datasets, Decision Making, DevOps, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Problem Solving, Python (Programming Language), Software Development Life Cycle (SDLC), Structured Query Language (SQL), Teamwork

                                                                          +

                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Personal and Commercial Banking

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-02-09

                                                                          Application Deadline:

                                                                          2024-02-24

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000078988/Manager-Data-Engineering,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-02-19T06:34:02.896Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/306574034-manager-data-engineering-at-rbc,,expired,2024-02-15T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +eb95d032-13e3-4547-b262-36a68a40828e,306615807,Scotiabank,"Manager, Digital Analytics - CID&A",on_site,Canada : Ontario : Toronto,2024-02-15T16:26:02.713Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 193403

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Join the fast based team environment at Scotiabank as a Manager, Digital Analytics. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty. The successful candidate will create and tell comprehensive stories about how users behave using data. You’ll deliver analytics projects of moderate complexity, partnering with other analysts and cross-functional teams along the way. Through ongoing analysis, you will gain actionable insights that better address the business goals of our internal stakeholders. The successful candidate will have the opportunity to collaborate with analytics, marketing and digital banking squads to help optimize the efficiency and effectiveness of digital marketing campaigns, digital banking experience, and product strategy.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +

                                                                          +
                                                                          • Develop Looker Studio dashboard in scrum setting to iteratively translate business requirement in visualization and insights
                                                                          • Work with senior stakeholder to perform on-demand product/digital analytics request
                                                                          • Prepare detailed documentation to outline data sources, analysis, and algorithms used and developed
                                                                          • Present results to business line stakeholders and help implement real world data-driven changes
                                                                          • Analyze and interpret clickstream data, providing insights to inform digital banking experience optimization and campaign strategies.
                                                                          • Work with technical analytics resources to ensure tracking code is consistently applied and managed
                                                                          • Be flexible and thrive in an evolving environment
                                                                          • Adapt to change quickly and adjust work accordingly in a positive manner
                                                                          • Proactively initiate, research, and perform data analysis
                                                                          • Provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                                                                          • Identify patterns and trends in marketing results and online activity and report on findings
                                                                          • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement
                                                                          • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                                                                          • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                                                                          • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                                                                          • Identify bugs and erroneous analytics tags and provide solutions to development team
                                                                          • Work with Digital Channels to advise on our continually evolving digital strategy
                                                                          • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms
                                                                          • +
                                                                          +

                                                                          +

                                                                          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

                                                                          +

                                                                          +
                                                                          • 3+ years of proven working experience as a Digital Analyst, Digital Marketing Analyst, or similar role
                                                                          • 3+ years of experience with data segmentation and reporting within Google Analytics and/or Adobe Analytics
                                                                          • Experience with Google Tag Manager including setting up and configuring accounts for new websites and goals
                                                                          • Working knowledge of GA4
                                                                          • Proficient in building dashboards leveraging and blending data from multiple data sources, as well as extracting data from data environments such as BigQuery
                                                                          • 2+ years of working experience with SQL and relational databases technologies/concepts for both
                                                                          • Experience with Looker Studio and/or Power BI
                                                                          • Expertise in Google Analytics implementation using Google Tag Manager
                                                                          • 2+ years of experience programming in Python or Spark
                                                                          • 2+ years of experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, and fraud/anomaly detection)
                                                                          • Experience working with digital advertising platforms and search engine optimization is an asset
                                                                          • Excellent written and verbal communication skills
                                                                          • Ability to handle multiple projects simultaneously
                                                                          • Proven ability to work independently and with other groups in a professional and productive manner
                                                                          • Demonstrated ability to work within tight deadlines
                                                                          • Excellent analytical, logical, and organizational skills
                                                                          • +
                                                                          +

                                                                          +

                                                                          What's in it for you?

                                                                          +

                                                                          +
                                                                          • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
                                                                          • A rewarding career path with diverse opportunities for professional development
                                                                          • Internal training to support your growth and enhance your skills.
                                                                          • An inclusive working environment that encourages creativity, curiosity, and celebrates success!
                                                                          • Work in an Ecosystem; a bright, modern space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, a bistro, and more.
                                                                          • Hybrid Work Environment
                                                                          • +
                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-CID&A-ON-M2H0A1/578306417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-19T16:31:02.953Z,False,0,3,24,https://talenthub.vectorinstitute.ai/jobs/306615807-manager-digital-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-CID&A-ON-M2H0A1/578306417/,expired,2024-02-15T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +4271a7f6-35af-4469-9bd5-4ed9215ae9f6,304659982,TD Bank Group,TDI Risk Analyst Intern/Co-op,on_site,"Toronto, ON",2024-02-05T16:28:02.175Z,"
                                                                          +

                                                                          Campus Role Type

                                                                          +
                                                                          Internship/Co-Op and Summer Opportunities
                                                                          +

                                                                          +

                                                                          Start Date

                                                                          +
                                                                          Summer
                                                                          +

                                                                          +

                                                                          Department Overview

                                                                          +
                                                                          +

                                                                          TD Reinsurance (Barbados) Inc. (TDRB) is a reinsurance company domiciled in Barbados. The Company’s ultimate parent is The Toronto-Dominion Bank (TD Bank), one of Canada’s largest financial institutions. The TDRB subsidiary has been in operation for more than 30 years and is regulated locally by The Financial Services Commission.

                                                                          +

                                                                          TDRB assumes Life & Health Insurance risks from Canadian primary insurers and General Insurance risks from an affiliate insurance company within the TD Bank Group (TDBG). TDRB also assumes Life & Health Insurance and Annuities risks from large European reinsurers and likewise retrocedes Canadian Life & Health risks to these reinsurers.

                                                                          +

                                                                          In view of increased, time-sensitive deliverables being requested by head office, a temporary Risk Analyst is needed to support the Risk Management, Anti-Money Laundering/Know-Your-Customer (AML/KYC), Governance, Regulatory and Compliance strategic functions of TDRB’s operations.

                                                                          +

                                                                          -
                                                                          -

                                                                          As an Engineering Manager within our Application Engineering teams, you will be pivotal in leading a group of 5-8 engineers to elevate our automated resolution systems. This position is integral in ensuring our engineering efforts align seamlessly with our product visions, helping customers enhance the performance of their AI Agents and contributing to our underlying technological advancement. Your leadership will drive the development and integration of innovative solutions that meet the needs of our dynamic customer base, contributing directly to our goal of expanding our generative client portfolio.

                                                                          -

                                                                          About You

                                                                          +

                                                                          +

                                                                          Job Details

                                                                          +
                                                                          +

                                                                          The Risk Analyst will report directly to the Barbados AVP, TD Insurance.
                                                                          Key Accountabilities:

                                                                            -
                                                                          • You possess a robust product engineering mindset with a keen sense of prioritization, balancing speed and technical excellence.
                                                                          • -
                                                                          • Familiarity with Python, Javascript, Kafka, MongoDB, DynamoDB, AWS systems and technologies or comparable stack
                                                                          • -
                                                                          • With 5+ years of experience managing and scaling engineering teams, you thrive in coaching and mentoring engineers to achieve excellence.
                                                                          • -
                                                                          • You demonstrate a strong ability to communicate and collaborate effectively with various levels of stakeholders.
                                                                          • -
                                                                          • With a customer-obsessed approach, you are dedicated to delivering superior experiences and innovative solutions.
                                                                          • -
                                                                          • Proficient in driving projects integrating complex systems and multiple technology stacks, you excel in environments requiring high adaptability and problem-solving skills.
                                                                          • -
                                                                          • Experience in agile development environments, ensuring that your teams deliver on time and with a high level of quality
                                                                          • -
                                                                          • Knowledgeable in modern software practices and tools, ideally with experience in AI technologies, knowledge systems and data pipelines
                                                                          • -
                                                                          • Prior experience building data pipelines and interfaces for reporting systems
                                                                          • -
                                                                          • Experience building APIs and knowledge of external LLMs
                                                                          • +
                                                                          • Assist with preparation of quarterly risk reporting via Risk Dashboards and Key Indicator Dashboards.
                                                                          • +
                                                                          • Conduct monthly and periodic AML/KYC sanction screening activities.
                                                                          • +
                                                                          • Assist with performance of annual counterparty AML/KYC due diligence.
                                                                          • +
                                                                          • Assist with the review and update of business Policies and Procedures in accordance with review cycles.
                                                                          • +
                                                                          • Assist with compilation of information for presentation at Monthly Management meetings.
                                                                          • +
                                                                          • Assist with preparation of meeting material using Board software for presentation at the Audit & Risk Committee and Board of Directors’ meetings as needed.
                                                                          • +
                                                                          • Support the Compliance Officer in carrying out regulatory and compliance related tasks.
                                                                          -

                                                                          Outcomes

                                                                          +

                                                                          Support the TDRB team with ad-hoc requests and other deliverables from time to time.

                                                                          +

                                                                          While the TDRB Team is based in Barbados, the Risk Analyst (Summer Co-Op/Intern) position is expected to be filled in Canada. Therefore, team collaboration will be via remote connection. The successful applicant will be required to work from a physical TD location at least 2 days per week in accordance with TD’s hybrid workplace model.

                                                                          +
                                                                          +

                                                                          +

                                                                          Job Requirements

                                                                          +
                                                                            -
                                                                          • Deliver an enhanced dashboard experience that empowers customers to understand how their AI Agent is performing and where they can provide more coaching or new capabilities.
                                                                          • -
                                                                          • Lead projects focusing on the measurement of our core metric, Automated Resolutions.
                                                                          • -
                                                                          • Lead projects focusing on ingestion and reporting of data from a diverse range of sources to enhance the accuracy and supporting metrics.
                                                                          • -
                                                                          • Lead the delivery of our data strategy aligned with our technical direction.
                                                                          • -
                                                                          • +
                                                                          • Third or fourth-year college student pursuing an undergraduate degree in Risk Management, Management, Business Administration, or another related field. Must be returning to studies after completion of the work term.
                                                                          • +
                                                                          • Working knowledge of or willingness to learn Microsoft Outlook, Excel, Word, PowerPoint, and collaborative software such as WebEx and MS Teams
                                                                          • +
                                                                          • Strong analytical and problem-solving skills
                                                                          -

                                                                          Benefits

                                                                            -
                                                                          • Competitive salary and generous stock option plan
                                                                          • -
                                                                          • Unlimited vacation
                                                                          • -
                                                                          • Wellness account
                                                                          • -
                                                                          • Extended health coverage
                                                                          • -
                                                                          • Dental/optical/travel insurance
                                                                          • -
                                                                          • Life insurance
                                                                          • -
                                                                          • Employee and family assistance plan
                                                                          • +
                                                                          • Ability to work under pressure in a dynamic and deadline-driven environment
                                                                          • +
                                                                          • Excellent organizational skills and acute attention to detail
                                                                          • +
                                                                          • Ability to work as part of a team and/or independently
                                                                          • +
                                                                          • Effective written and verbal communication skills
                                                                          -

                                                                          Perks

                                                                          +
                                                                          +

                                                                          +

                                                                          Additional Information

                                                                          +
                                                                          +

                                                                          Early Talent Requirements

                                                                            -
                                                                          • Flexible work schedule
                                                                          • -
                                                                          • Remote-first, In-person friendly work environment with WFH budget
                                                                          • -
                                                                          • Paid parental leave for Canadian residents
                                                                          • -
                                                                          • Development opportunities
                                                                          • +
                                                                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                                                          • +
                                                                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                                                          • +
                                                                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                                                          -

                                                                          The expected salary range for this position is $166,962 to $225,505 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

                                                                          -

                                                                          #LI-NS1

                                                                          -
                                                                          -

                                                                          About Us

                                                                          -

                                                                          Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

                                                                          -

                                                                          We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

                                                                          -

                                                                          Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

                                                                          -

                                                                          Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

                                                                          -

                                                                          -

                                                                          +

                                                                          +

                                                                          Company Overview

                                                                          +
                                                                          +Our Values
                                                                          At TD we’re guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

                                                                          +

                                                                          Making Your Well-being a Priority
                                                                          A supportive culture that promotes colleague well-being is core to who we are. At TD, we focus on total well-being with extensive programs to help colleagues assess, manage, and improve their well-being across four core pillars — physical, financial, social and mental/emotional. In addition, we champion a safe and inclusive work environment so colleagues feel a sense of belonging and feel supported in their personal and professional growth. Through our focus on well-being, we know that we can help our colleagues thrive, contribute to our culture of care, and support better business outcomes, because when colleagues feel their best, they’re more likely to do their best.

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits including medical, dental, vision & mental health coverage, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

                                                                          +

                                                                          How We Work
                                                                          At TD, we believe in-person connections fuel collaboration and collective creativity. Our workplace experience empowers colleagues to do great work side-by-side at TD locations, while offering flexibility to work remotely where it makes sense for the work and team. Our teams work in one of three workplace models: Hybrid, Onsite and Primarily Remote. Wherever our colleagues are working, they’ll always have access to the TD community and experience our culture of care.

                                                                          +

                                                                          Who We Are
                                                                          TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -
                                                                          ",,https://job-boards.greenhouse.io/ada18/jobs/4414864007,feed-importer@jobboard.io,,,,2024-08-22T06:19:02.959Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/335777732-engineering-manager-application-engineering-at-ada,,expired,2024-07-29T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Manager,No Degree,New Posting, -a26c80a7-609d-47f4-a5ee-c0a1335b6dc9,335777727,OMERS,"Technical Analyst, Valuations and Analytics",on_site,"Ontario, Canada",2024-07-29T06:14:02.122Z,"
                                                                          -

                                                                          Why join us?

                                                                          -

                                                                          -

                                                                          Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                                          At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                                          -

                                                                          -

                                                                          -

                                                                          Oxford is seeking a Technical Analyst to join our Valuations & Analytics team in Toronto, Canada. Oxford’s Valuations & Analytics team is responsible for real estate valuations, portfolio and property performance and risk analysis across all markets that Oxford invests. The ideal candidate will combine solid technical skills with a desire to learn real estate finance as an integral part of the Valuations & Analytics team. The candidate for this position will be exposed to the valuation and asset management analytics of investment properties across Oxford’s global portfolio.

                                                                          -

                                                                          As a member of this team, you will be responsible for:

                                                                          +

                                                                          Inclusiveness

                                                                          +
                                                                          +Our Commitment to Diversity, Equity, and Inclusion
                                                                          At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

                                                                          +

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          +

                                                                          How We’re Helping Make an Impact in Communities
                                                                          TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of $1 billion by 2030 in community giving four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

                                                                          +

                                                                          We look forward to hearing from you!

                                                                          +
                                                                          +

                                                                          +
                                                                          ",,https://jobs.td.com/en-CA/jobs/19842214/tdi-risk-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2024-02-20T18:06:00.000Z,False,0,7,76,https://talenthub.vectorinstitute.ai/jobs/304659982-tdi-risk-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/19842214/tdi-risk-analyst-intern-co-op-toronto-ca/,expired,2024-02-05T16:28:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +09ec384e-6bb4-4c78-930b-b73ae617f9c0,305155233,Vector Institute,Applied Machine Learning Intern,on_site,"Toronto, ON, Canada",2024-02-07T17:34:23.214Z,"

                                                                          Applied Machine Learning Intern

                                                                          +

                                                                          POSITION OVERVIEW

                                                                          +

                                                                          As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and health stakeholders to apply AI. You will work closely with a technical lead on your software development projects for day-to-day direction.

                                                                          +

                                                                          Start date: May 6, 2024

                                                                          +

                                                                          End date: August 30, 2024

                                                                          +

                                                                          +

                                                                          APPLIED INTERNSHIPS AT VECTOR

                                                                          +

                                                                          The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Summer academic term (May 6 - August 30, 2024) with an opportunity to continue over the Fall 2024 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                          +

                                                                          +

                                                                          KEY RESPONSIBILITIES

                                                                            -
                                                                          • Designing, building and maintaining reports, tools and templates used to create and maintain Oxford valuation models using VBA, SQL and / or related skills;
                                                                          • -
                                                                          • Assist in the development and maintenance of the team’s database, which tracks historic and forecast property results and market information;
                                                                          • -
                                                                          • Liaise with Oxford’s Information Technology team as well as third party systems service providers in the sourcing, development and maintenance of internally and externally managed software and systems;
                                                                          • -
                                                                          • Lead regular testing and implementation of annual system upgrades and process improvements;
                                                                          • -
                                                                          • Conduct market and economic research, assemble and interpret macro-market trends.
                                                                          • -
                                                                          • Participate in the creation and maintenance of valuation models primarily using Argus Enterprise to reflect changes to the portfolio and market conditions; -
                                                                          • -
                                                                          • Liaise with accountants, asset managers, leasing and property management groups in data collection for periodic valuation updates; and
                                                                          • -
                                                                          • Prepare annual written valuation reports.
                                                                          • +
                                                                          • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
                                                                          • +
                                                                          • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
                                                                          • +
                                                                          • Develop open source software for applying AI research techniques to common problems;
                                                                          • +
                                                                          • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
                                                                          • +
                                                                          • Develop prototypes and proofs of concept;
                                                                          • +
                                                                          • Report and present on software development including status and results; and,
                                                                          • +
                                                                          • Other duties as assigned.
                                                                          -

                                                                          To succeed in this role, you have:

                                                                          +


                                                                          +

                                                                          PROFILE OF THE IDEAL CANDIDATE

                                                                            -
                                                                          • Relevant undergraduate or advanced degree with 1-4 years of work experience;
                                                                          • -
                                                                          • Candidates must have completed some computer programming courses at a post-secondary level and have a well-developed understanding of the principles of programming;
                                                                          • -
                                                                          • Proficiency in SQL, VBA (or equivalents), and Microsoft Excel (financial modeling) is required;
                                                                          • -
                                                                          • Knowledge and experience with data visualization or business intelligence software is considered an asset;
                                                                          • -
                                                                          • Demonstrated interest in, or prior work experience, in real estate or investment finance is considered an asset;
                                                                          • -
                                                                          • Knowledge and experience with ARGUS Enterprise is considered an asset;
                                                                          • -
                                                                          • Self-motivated individual with a strong work ethic and a high level of attention to detail;
                                                                          • -
                                                                          • Strong verbal and written communication, interpersonal, problem solving and project management skills;
                                                                          • -
                                                                          • Ability to work well under pressure with multiple competing deadlines;
                                                                          • -
                                                                          • Flexible attitude towards a variety of work tasks is required;
                                                                          • -
                                                                          • Valid Passport for International travel as needed.
                                                                          • +
                                                                          • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.
                                                                          • +
                                                                          • You are in the second year or higher, studying at a Canadian university or college, or a recent graduate within 1 semester of graduation.
                                                                          • +
                                                                          • Experience in machine learning and/or statistics.
                                                                          • +
                                                                          • Data engineering background working with messy real-world data is preferred.
                                                                          • +
                                                                          • Analytical skills to identify signals in data and feasibility of prediction.
                                                                          • +
                                                                          • Knowledge and experience of Python.
                                                                          • +
                                                                          • Experience with parameter and architecture tuning of deep learning algorithms is preferred.
                                                                          • +
                                                                          • Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).
                                                                          • +
                                                                          • Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.
                                                                          • +
                                                                          +

                                                                          +

                                                                          NICE TO HAVE

                                                                          +
                                                                            +
                                                                          • Data science experience is considered an asset.
                                                                          • +
                                                                          • Software engineering background with experience in industry is considered an asset.
                                                                          • +
                                                                          • Experience working on systems level programming on SLURM is an asset.
                                                                          • +
                                                                          • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
                                                                          • +
                                                                          • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Compensation: $25/hour.

                                                                          +

                                                                          +

                                                                          If you have any questions, please contact internships@vectorinstitute.ai.

                                                                          +

                                                                          +

                                                                          Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is February 20, 2024, at 9:00AM EST. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                          +

                                                                          At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                          +

                                                                          Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                                                          +

                                                                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=478508&lang=en_CA&source=CC2,aitalent@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-02-20T18:06:00.000Z,False,0,87,299,https://talenthub.vectorinstitute.ai/jobs/305155233-applied-machine-learning-intern-at-vector-institute,,expired,2024-02-07T17:34:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +80550a68-072e-4002-92a3-33d648ba0d12,305243744,CN,"Intern, Data Migration and Governance, Analyst",on_site,"Ontario, Canada",2024-02-08T06:45:04.107Z,"
                                                                          +

                                                                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                                                          +

                                                                          +

                                                                          Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration and Governance, Analyst position in Montreal, QC from May – August 2024.

                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          The Intern, Data Migration and Governance, Analyst is responsible for contributing to the implementation of data management and governance strategies in a large and complex Enterprise Resource Planning (ERP) business transformation. The position helps develop skills and practical experience in a data-centric digital transformation. The role consists of assisting business and Information and Technology (I&T) stakeholders in performing Master Data profiling, cleansing and construction so it meets CN requirements before being migrated to the new system. Additionally, the position involves identification and validation of Master Data Governance (MDG) rules and workflows to ensure newly created Master Data complies with CN requirements as it gets defined over time. The areas of business covered by the Master Data will be the Mechanical department (which targets rolling assets, such as locomotives) and the Engineering department (which targets the non-rolling assets, such as tracks, signalling, and bridges). The incumbent takes part in the validation and integrated testing cycles that are being planned as part of the transformation program.

                                                                          +

                                                                          Major Responsibilities

                                                                          +

                                                                          Master Data Conversion and Quality – 50%

                                                                          +
                                                                            +
                                                                          • Identify data objects and profiling quality
                                                                          • +
                                                                          • Assist stakeholders in Master Data cleansing, construction strategies and implementation
                                                                          • +
                                                                          • Participate actively in Master Data Conversion Mock cycles, from data loading, analysis, corrective measure implementation and validation
                                                                          • +
                                                                          • Enhance and promote the Master Data quality tool Proof of Business Value
                                                                          • +
                                                                          • Be involved in specialized Data Conversion platforms, such as Syniti ADM
                                                                          • +
                                                                          +

                                                                          Master Data Governance – 50%

                                                                          +
                                                                            +
                                                                          • Assist stakeholders in identifying, implementing, and validating Master Data business rules and workflow requirements in conjunction with business owners
                                                                          • +
                                                                          • Validate data governance roadmap and strategy on specialized tools and platforms, such as System, Applications, and Products (SAP) MDG and Asset Information Workbench (AIW)
                                                                          • +
                                                                          • Participate in Integrated Test Cycles, as defined by the program, to validate Master Data-related Business Processes
                                                                          • +
                                                                          +

                                                                          Requirements

                                                                          +
                                                                            +
                                                                          • Interest in managing data and business processes
                                                                          • +
                                                                          • Applies critical thinking
                                                                          • +
                                                                          • Interest in identifying issues and applying resolution in complex data sets
                                                                          • +
                                                                          • Knowledge of Microsoft Office (Excel and other equivalent productivity tools) way)
                                                                          • +
                                                                          • Knowledge of Structured Query Language (SQL) scripting*
                                                                          • +
                                                                          • Communicates with impact
                                                                          • +
                                                                          • Works with geographically distributed colleagues, collaborates with others and shares information
                                                                          • +
                                                                          +

                                                                          Education

                                                                          +
                                                                          • Working towards a Bachelor’s Degree in any Technical or Business fields with interest in data management, including Business Analysis and Processes, Mathematics, Statistics, Data Science, and Engineering
                                                                          +

                                                                          *Any experience/education/skills/knowledge for these above would be considered as an asset

                                                                          +

                                                                          +

                                                                          +

                                                                          About CN

                                                                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                          +

                                                                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                                                          +
                                                                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/11968?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2024-02-22T06:50:05.746Z,False,0,17,102,https://talenthub.vectorinstitute.ai/jobs/305243744-intern-data-migration-and-governance-analyst-at-cn,,expired,2024-02-08T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +94b32ab3-14f2-4ce9-8d38-c8db1b921844,301156207,Scotiabank,"Manager, Analytics",on_site,Canada : Ontario : Toronto,2024-01-18T16:26:02.436Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 191679

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Purpose of Job:

                                                                          +

                                                                          +

                                                                          The Manager contributes to the management of credit risk for the Retail portfolios by overseeing the data management and reporting function efforts with a specific focus on regulatory reporting. The Manager is responsible for the development, data analytics, data management and execution of analytical and trend-based risk management, executive management, and external stakeholder reporting packages and analytic requirements across the retail life cycle (origination, portfolio management, and collection). The Manager is responsible, but not limited to, for the timely delivery of a suite of existing regulatory reports and the development of new insightful analytics and reports as required.

                                                                          +

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          +

                                                                          The Manager, Analytics is responsible for driving the key deliverables for Retail Credit Risk Financial Reporting as related to monthly / quarterly reporting. Responsibilities include:

                                                                          +

                                                                          +
                                                                          • Ensure the design, development, maintenance and production of detailed reporting packages and data analytics for regulators, senior management and other external stakeholders, and the robust data management for Retail Credit Risk reporting and analytics by:

                                                                            • Designing, developing, implementing, and maintaining regulatory reports in SAS, HADOOP, GCP, Hive/Hue, SQL Server, Excel, and Power BI according to business or regulatory requirements.

                                                                            • Developing new reports and on-going enhancements.

                                                                            • Determining the best data compilation methods.

                                                                            • Developing and establishing new data sources.

                                                                            • Leading documentation and governance efforts of data, processes, reports.

                                                                            • Validating, testing, and reconciling reports with various information sources.

                                                                          • Support the standard and integrated EDL risk information system. Conduct business analysis of multiple sources for Canadian and International retail data. Develop and implement new data and reporting requirements as per the Retail Credit Risk Roadmap (HADOOP, Hue, SmartView, Power BI, SAS).

                                                                          • Maintain technical and business documentation to comply with Regulatory, Governance and Audit requirements.

                                                                          • Collect and author business and technical requirements/specifications. Ensure all processes are documented and appropriate controls are in place to satisfy audit/compliance requirements.

                                                                          • Work with technology teams to identify issues and implement solutions. Respond promptly to ad hoc requests/queries.

                                                                          • +
                                                                          +

                                                                          Job Requirements:

                                                                          +

                                                                          +

                                                                          A minimum of five years of progressive, relevant and practical experience with leading financial organizations, preferably in the risk management, finance, marketing or IT fields, and a proven track record of success in the implementation/management of effective information systems.

                                                                          +
                                                                          • Experience in developing and building reporting dashboards using Power BI.

                                                                          • Working knowledge of Business Intelligence and process automation software packages.

                                                                          • Data Warehousing knowledge & experience, including the management of multiple data sources.

                                                                          • Experience with manipulating large and complex datasets.

                                                                          • Design, development and implementation of decision support data management\analysis applications.

                                                                          • Maintaining a broad knowledge of current technology and practices; must have experience with the following:

                                                                            • SQL, SAS, Cognos, Business Objects.

                                                                            • Hadoop technology / tools (incl HIVE/HUE, Power BI).

                                                                            • Google Cloud Platform and related technologies.

                                                                            • Data Management, Database Design including data modeling and Data Warehousing skills.

                                                                          • Strong analytical and data mining skills with experience in manipulating large and complex datasets.

                                                                          -

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Our story:

                                                                          -

                                                                          Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                                          -

                                                                          -

                                                                          For more information on Oxford, visit www.oxfordproperties.com

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Technical-Analyst--Valuations-and-Analytics_JR-5399-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-08-26T06:19:04.404Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/335777727-technical-analyst-valuations-and-analytics-at-omers,,expired,2024-07-29T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -2e594ce7-26fe-4a85-a252-86eed209efd1,339052254,CIBC,"Sr. Analyst, Risk Analytics, Business Banking Lending (RACD)",on_site,"Ontario, Canada",2024-08-22T07:33:02.403Z,"
                                                                          +


                                                                          Knowledge and experience in the following areas are essential:

                                                                          +
                                                                          • Knowledge of retail credit products, policies, portfolios and delivery systems.

                                                                          • Ability to work under pressure and deliver under tight deadlines

                                                                          • Substantial risk reporting experience will be required together with an understanding of risk data and statistics.

                                                                          • A strong knowledge of the Bank’s technical platform applications.

                                                                          • Industry knowledge of trends and best practices.

                                                                          • Must be accurate and thorough; effective time and project management; strong team work and communication skills

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/577389517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-02-17T18:31:57.321Z,False,0,5,194,https://talenthub.vectorinstitute.ai/jobs/301156207-manager-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-ON-M5H1B6/577389517/,expired,2024-01-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +6b8b0caa-efcf-4daf-9efc-4f6646f79380,304593370,BMO Financial Group,"Manager, Loyalty Data & Analysis",on_site,"Ontario, Canada",2024-02-05T06:25:01.943Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          03/29/2024

                                                                          +

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          ROLE

                                                                          +

                                                                          +

                                                                          The Manager, Loyalty Data & Analysis will maintain, develop, and implement customer experience/loyalty programs for the organization across multiple lines of business and delivery channels. Working with both Loyalty and cross functional teams, the incumbent will apply technical, business, and analytical knowledge together with a deep understanding of customer loyalty to assess and help improve customer loyalty programs across the organization. The role also requires that a strategic plan be maintained for setting priorities and effectively executing program deliverables.

                                                                          +

                                                                          +

                                                                          +

                                                                          SPECIFIC ACCOUNTABILITIES

                                                                          +

                                                                          +

                                                                          Program Development and Management:

                                                                          +
                                                                            +
                                                                          • Build and enhance procedures and processes aimed at optimizing customer contact execution for loyalty programs across the organization - ensure all work is fully tested and vetted prior to implementation.
                                                                          • +
                                                                          • Create business and technical requirements and supporting documentation to facilitate loyalty program builds and knowledge retention.
                                                                          • +
                                                                          • Write, test, and manage the successful implementation of computer coding changes applied when fixing, updating, and/or creating net new programs.
                                                                          • +
                                                                          • Develop and maintain data quality procedures and processes aimed at ensuring the quality and currency of data and procedures used in loyalty programs is maintained and enhanced. Propose improvements as needed to ensure the most reliable and current information is utilized.
                                                                          • +
                                                                          • Perform complex manipulation of data to restructure data for analysis, create and maintain database tables, and create output files for vendors.
                                                                          • +
                                                                          • Ensure the ongoing successful execution of loyalty programs is maintained including the timely production and loading of all sample files and vendor response files.
                                                                          • +
                                                                          • Ensure governance and controls are in place to securely transmit and receive customer information to/from external vendors.
                                                                          • +
                                                                          • Cultivate strong working relationships with business and technical partners and leaders to ensure loyalty programs are developed, maintained, and updated successfully, and are aligned with current and future business and technical needs.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Business Analytics and Insights:

                                                                          +
                                                                            +
                                                                          • Conduct data and business analysis of loyalty and customer data in order to generate insights and recommend potential improvements across programs.
                                                                          • +
                                                                          • Monitor and assess loyalty program data and performance to proactively identify trends, potential enhancements, and resolve any issues that may occur.
                                                                          • +
                                                                          • Provide thought and applied leadership on loyalty analysis and insights. Work with cross-functional teams to develop analysis of loyalty programs; work with these teams to leverage business knowledge and insights aimed at driving loyalty improvement for the organization.
                                                                          • +
                                                                          • Monitor and communicate loyalty program performance to business and technical stakeholders on a regular basis.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Strategy and Planning:

                                                                          +
                                                                            +
                                                                          • Maintain a strategic roadmap for customer loyalty program technical builds and analytical projects.
                                                                          • +
                                                                          • Work with data, technical, and business teams to develop data infrastructure and processes that support effective loyalty program execution, automation, and analytics.
                                                                          • +
                                                                          • Assess and prioritize the development and execution of loyalty programs while recognizing the integrated environment programs operate within. Ensure priorities align to organizational priorities.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          EDUCATION and EXPERIENCE

                                                                          +
                                                                            +
                                                                          • Minimum Bachelor’s degree required in business, statistics, research, computer science or equivalent combination of education and experience.
                                                                          • +
                                                                          • 5+ years of experience in analysis of loyalty and/or customer information.
                                                                          • +
                                                                          • 5+ years of work experience using SAS, SAS Macros, DBMS is a must.
                                                                          • +
                                                                          • 5+ years of hands-on technical and functional experience as a practitioner of data analytics and statistical methodologies.
                                                                          • +
                                                                          • Good knowledge of data analysis, business analysis, and statistics to drive actionable insights from data. Ability to apply business acumen to make decisions aligned with business goals and strategy.
                                                                          • +
                                                                          +

                                                                          +

                                                                          SUMMARY QUALIFICATIONS

                                                                          +
                                                                            +
                                                                          • Strong leadership, technical, functional and business skills to discuss, negotiate and influence at all levels in the organization.
                                                                          • +
                                                                          • Excellent relationship building skills at all levels within the organization.
                                                                          • +
                                                                          • Demonstrated expert in developing and managing programs, preferably in a complex organization with multiple lines of business.
                                                                          • +
                                                                          • Extensive experience in SAS program development and maintenance.
                                                                          • +
                                                                          • Experience with large transactional and customer-oriented relational databases. Familiarity across a broad range of data analysis, statistical analysis and programming tools, environments and techniques including SAS, SQL, Sybase, and Linux/Unix.
                                                                          • +
                                                                          • Ability to relate analytical expertise to business problems, formulate business recommendations and communicate effectively to a non-analytical audience.
                                                                          • +
                                                                          • Excellent time and resource management skills, flexibility and resourcefulness to interface and collaborate with internal and external groups.
                                                                          • +
                                                                          • Knowledge and ability to develop and apply data analysis to business and strategic issues.
                                                                          • +
                                                                          • Excellent communication and presentation skills (both written and verbal).
                                                                          • +
                                                                          • Working efficiently and accurately is essential.
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Loyalty-Data---Analysis_R240002568?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-02-26T06:30:02.094Z,False,0,1,102,https://talenthub.vectorinstitute.ai/jobs/304593370-manager-loyalty-data-analysis-at-bmo-financial-group,,expired,2024-02-05T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +54c44c27-5f23-4ee1-82e1-dbccbcb1572c,307275699,CIBC,"Senior IT Project Manager, AI Governance",on_site,"Ontario, Canada",2024-02-19T06:24:01.632Z,"

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          @@ -68578,931 +69128,965 @@ a26c80a7-609d-47f4-a5ee-c0a1335b6dc9,335777727,OMERS,"Technical Analyst, Valuati

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          What you’ll be doing

                                                                          -

                                                                          -

                                                                          Senior Analyst, Risk Analytics will contribute to the profitable growth of Business Banking portfolio by performing data-driven analyses and reporting, aimed at improving the performance of risk management strategies/policies and overall portfolio. The Senior Analyst will be involved in evaluating strategies that balance the risk/reward tradeoff for new and existing accounts, conducting ad-hoc analysis to support decision making, developing reports that offer insights into the business and supporting analytics efforts in the portfolio.

                                                                          +

                                                                          What You’ll Be Doing

                                                                          +

                                                                          As a Senior Project Manager, you will join the Strategic Initiatives Delivery team within Architecture, Data & Analytics to manage delivery of medium to large scale projects working collaboratively with business stakeholders, vendors, and technical resources. This is an exciting role within a highly visible area of the bank and you will be primarily leading AI Governance and initiatives , you will be responsible for overseeing and implementing strategies to ensure ethical and responsible use of artificial intelligence (AI) technologies within our organization. You will collaborate with cross-functional teams to develop policies, guidelines, and procedures that align with regulatory standards and ethical principles. Your role will involve assessing risks, managing compliance, and driving initiatives to promote transparency and accountability in AI development and deployment throughout the organization. You will work with various stakeholders to understand the strategic direction of the bank and support the delivery with large scale budgets.

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-2 days per week on-site, while other days will be remote.

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          -

                                                                          How you’ll succeed

                                                                          +

                                                                          How you\'ll succeed

                                                                            -
                                                                          • Analysis - Design and execute data solutions to provide in-depth analysis on the Business Banking portfolio.

                                                                          • -
                                                                          • Reporting and insights - Translate business questions into detailed analytical data-driven answers and develop reports and dashboards.

                                                                          • -
                                                                          • Credit risk analytics – Support the development of proposals/business cases for credit risk scorecards, system or rule changes that will enhance credit risk management performance.

                                                                          • -
                                                                          • Collaborate - Work professionally with Colleagues and Business Partners to attain business objectives.

                                                                          • +
                                                                          • AI Governance: Leading AI Governance and initiatives and oversee and implement strategies to ensure ethical and responsible use of artificial intelligence (AI) technologies within CIBC.

                                                                          • +
                                                                          • Project Management – Outline project goals, terms of reference, resource requirements, and costs. Create a resource plan that ensures all stakeholders have a voice on the project. Assess the efficiency of the practices and procedures used by a team and provide guidance that will continuously improve the project plan.

                                                                          • +
                                                                          • Collaboration – Help internal partners make informed decisions about the development of programs, products, and services. Coach and mentor, your teams as you work toward a common goal. Negotiate deliverables and milestones whenever necessary.

                                                                          • +
                                                                          • Project Coordination – Proactively identify risks to the project schedule and find ways to mitigate them. Monitor milestones; ensure they are completed according to timelines and budgets. Execute a project plan that strikes the right balance between budget, time, and risk.

                                                                          • +
                                                                          • Communication and Persuasion – Share ideas, build consensus, and write with impact. Chair meetings and

                                                                          • +
                                                                          • Relationships – Develop trusted working relationships with business stakeholders and technology partners.

                                                                          • +
                                                                          • Leadership – For those candidates with extensive experience, training, and mentoring colleagues.

                                                                          Who you are

                                                                            -
                                                                          • You have a degree in a quantitative field (i.e., mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience.

                                                                          • -
                                                                          • You demonstrate experience in a reporting or analytical role, preferably with strong knowledge in SAS, SQL or other tools used for analysis; Working in applied data & analytics problems in business banking and/or retail banking is an asset.

                                                                          • -
                                                                          • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                          • -
                                                                          • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                          • -
                                                                          • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                          • -
                                                                          • You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                                                                          • -
                                                                          • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

                                                                          • +
                                                                          • You can demonstrate at least five years of experience in project management, preferably managing AI Governance initiatives. You lead the AI governance & subsequent change management activities. You have experience with project management and issue management tools like Planview, ServiceNow, and JIRA. It is an asset of you come from Financial Services Industry.

                                                                          • +
                                                                          • You have a degree/diploma in Computer Science, Engineering, Management Information Systems, or a related field of study. It’s an asset if you have your PMP designation.

                                                                          • +
                                                                          • You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.

                                                                          • +
                                                                          • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                                                          • +
                                                                          • You’re digitally savvy. You seek out innovative solutions and embrace leading-edge technologies. You can easily adapt to new tools and trends.

                                                                          • +
                                                                          • You\'re driven by collective success. You know that collaboration can transform a clever idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.

                                                                          • +
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability

                                                                          -

                                                                          -

                                                                          What CIBC Offers

                                                                          -

                                                                          -

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                          +

                                                                          +

                                                                          What CIBC Offers

                                                                          +

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                            -
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • -
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • -
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          • +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          -

                                                                          -

                                                                          *Subject to plan and program terms and conditions

                                                                          +

                                                                          +

                                                                          *Subject to plan and program terms and conditions

                                                                          What you need to know

                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                          • -
                                                                          • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                          -

                                                                          Job Location

                                                                          Toronto-81 Bay, 31st Floor

                                                                          -

                                                                          Employment Type

                                                                          Regular

                                                                          -

                                                                          Weekly Hours

                                                                          37.5

                                                                          -

                                                                          Skills

                                                                          Analytical Thinking, Data Analytics, Data Extraction, Data Quality, Risk Analytics
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Risk-Analytics--Business-Banking-Lending--RACD-_2414743-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-08-26T07:38:01.844Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/339052254-sr-analyst-risk-analytics-business-banking-lending-racd-at-cibc,,expired,2024-08-22T07:33:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -8d4a8227-2e30-444a-acc6-afc6dabc439b,337369947,TD Bank Group,"Senior Manager, AI/ML Model Validation",hybrid,"Toronto, ON, Canada",2024-08-08T20:48:37.715Z,"

                                                                          Work Location:

                                                                          -

                                                                          Canada

                                                                          -

                                                                          -

                                                                          Hours:

                                                                          -

                                                                          37.5

                                                                          -

                                                                          -

                                                                          Line of Business:

                                                                          -

                                                                          Data & Analytics

                                                                          -

                                                                          -

                                                                          Pay Details:

                                                                          -

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          Department Overview

                                                                          -

                                                                          The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence / Machine Learning (AI/ML) Model Validation team within MV is responsible for the review/vetting and approval of AI/ML models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance). By ensuring an objective and independent evaluation of models, the Model Validation function is critical to the effective measurement and management of model risk across the TD Bank Group.

                                                                          -

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          The position reports to AVP, AI/ML Model Validation group. Detailed accountabilities include:

                                                                          -
                                                                            -
                                                                          • Lead a team of Machine Learning and Data Scientists to perform validation of all Fraud and Cyber Security models deemed in-scope by the bank-wide Model Risk Policy.
                                                                          • -
                                                                          • Recommend the approval of models or other corrective actions based on the independent validation.

                                                                            +

                                                                            Job Location

                                                                            Toronto-81 Bay, 21st Floor

                                                                            +

                                                                            Employment Type

                                                                            Regular

                                                                            +

                                                                            Weekly Hours

                                                                            37.5

                                                                            +

                                                                            Skills

                                                                            Communication, Information Technology (IT) Projects, Management Support, Project Implementations
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-IT-Project-Manager_2403736?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-02-26T06:29:01.447Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/307275699-senior-it-project-manager-ai-governance-at-cibc,,expired,2024-02-19T06:24:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +534e505f-4b36-4bfb-9cda-8a9cf434bd5d,317421882,Canadian Tire Corporation,Senior Financial Data Analyst,on_site,"Ontario, Canada",2024-04-11T06:18:02.392Z,"
                                                                          +

                                                                          What you’ll do

                                                                          +

                                                                          The Senior Financial Data Analyst role is an exciting interdisciplinary role where you will be responsible for store labour planning, as well as providing analytical support for strategic initiatives and operational efficiencies. The incumbent will present relevant analysis and prepare reports that support various levels of the organization from store managers to senior executives. The ideal candidate should be comfortable working with large sets of data and possess familiarity with forecasting, budgeting, and planning activities within a typical FP&A role. This position will frequently collaborate with the Store Operations leadership teams in SportChek and Mark’s. It provides opportunities to gain insights into advanced analytics, machine learning, and automation as applied to finance and store operations processes.

                                                                            -
                                                                          • Lead and support a team of model validators.
                                                                          • -
                                                                          • Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
                                                                          • -
                                                                          • Communicate group objectives and strategies and align group activities in support of business objectives.
                                                                          • -
                                                                          - -
                                                                        • Support employee development activities, coach and support direct reports in meeting their personal development objectives.
                                                                        • -
                                                                        • Assume a leadership role in developing standards and procedures for vetting and validation Fraud and Cyber Security models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
                                                                        • -
                                                                        • Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
                                                                        • -
                                                                        • Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
                                                                        • -
                                                                        • Play a key role in ensuring the appropriate use of Fraud and Cyber Security models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
                                                                        • -
                                                                        • Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on AI/ML Fraud and Cyber Security modeling and validation.
                                                                        • +
                                                                        • Play a key role in managing the Store Payroll spend at SportChek and Mark’s

                                                                        • +
                                                                        • Identify areas or opportunities within the business for operational efficiencies and/or revenue growth, analyzing and implementing changes that will influence store operations strategy and drive improved profitability.

                                                                        • +
                                                                        • Lead compensation plan model design target setting to drive performance of strategic metrics and meet financial targets.

                                                                        • +
                                                                        • Lead and participate in planning meetings to support ongoing business initiatives.

                                                                        • +
                                                                        • Collaborate with many teams to unlock new analytics that drive common objectives.

                                                                        • +
                                                                        • Be an Automation Champion – develop self-serve analytics to drive value generating activities in our 550+ stores across Mark’s and SportChek

                                                                        • +
                                                                        • Oversee analytical processes leveraging store financial data including income statement data.

                                                                        • -

                                                                          Job Requirements

                                                                          +

                                                                          What you bring

                                                                            -
                                                                          • Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, finance, engineering, software engineering, statistics, economics / econometrics, mathematics
                                                                          • -
                                                                          • 4+ years of experience in either developing or validating Fraud / Cyber Security models; and 2+ years of experience in leading a small team of data scientists.
                                                                          • -
                                                                          • In-depth knowledge of fraud risk management and detection of different types of fraud attacks.
                                                                          • -
                                                                          • In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications. Understanding of weaknesses and limitation of popular ML modeling approaches.
                                                                          • -
                                                                          • Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, and etc.
                                                                          • -
                                                                          • In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques
                                                                          • -
                                                                          • Ability to research and implement Machine Learning algorithms from academic research papers is a plus.
                                                                          • -
                                                                          • Proficient in relevant programming languages such as Python, PySpark, SQL. Experience with Microsoft Azure cloud infrastructure, Databricks is an asset.
                                                                          • -
                                                                          • Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
                                                                          • -
                                                                          • Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
                                                                          • -
                                                                          • Strong critical and analytic thinking skills.
                                                                          • -
                                                                          • Excellent time / project management and multitasking skills with minimal supervision.
                                                                          • -
                                                                          • Stay up to date with the latest advancements in fraud risk management, data science, machine learning, and AI.
                                                                          • +
                                                                          • Minimum of 3 years of experience in a business, analytics, or finance role

                                                                          • +
                                                                          • Professional accounting designation (CPA, CA, CGA, CMA) and/or master’s degree in MMA, MBA, or analytics is considered an asset.

                                                                          • +
                                                                          • Ability to clearly and confidently, communicate to both technical and non-technical audiences.

                                                                          • +
                                                                          • Ability to manage multiple projects, driving key business results under tight deadlines.

                                                                          • +
                                                                          • Strong problem solving, analytical, and strategic thinking skills; able to see the “big picture” in a complex business environment.

                                                                          • +
                                                                          • Working Knowledge or interest in BI tools such as PowerBI, and/or Tableau

                                                                          • +
                                                                          • Knowledge of database management, information management, and data mart design along with hands-on experience using data analysis / workflow tools such as Knime or Alteryx is an asset.

                                                                          • +
                                                                          • Working knowledge of Python, SQL or other coding languages and experience with Azure Synapse and/or Databricks is considered an asset.

                                                                          +

                                                                          Hybrid

                                                                          +

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          -

                                                                          Who We Are:

                                                                          -

                                                                          TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                          -

                                                                          -

                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                          -

                                                                          -

                                                                          Additional Information:
                                                                          We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                          Colleague Development
                                                                          If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                          -

                                                                          Training & Onboarding
                                                                          We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                          +

                                                                          #LI-SH1

                                                                          -

                                                                          Interview Process
                                                                          We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                          -


                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          +

                                                                          About Us

                                                                          -

                                                                          Language Requirement:

                                                                          -

                                                                          Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français./This position requires proficiency in a language other than French to support or deal with employees who require services and support in a language other than French.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Senior-Manager--AI-ML-Model-Validation_R_1357557?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-26T19:30:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/337369947-senior-manager-ai-ml-model-validation-at-td-bank-group,,expired,2024-08-08T20:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -2942705c-42a9-4559-9e99-9977630e3715,338157006,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2024-08-15T06:14:02.244Z,"
                                                                          -

                                                                          Referred applicants should NOT apply directly to this role.

                                                                          All referred applicants must first be submitted through Workday by a current OMERS and Oxford employee, and then must apply through the unique link received via their email.

                                                                          +

                                                                          Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                          -

                                                                          Choose a workplace that empowers your impact.

                                                                          -

                                                                          Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

                                                                          +

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          -

                                                                          We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

                                                                          +

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                          -

                                                                          Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

                                                                          +

                                                                          Accommodations

                                                                          -

                                                                          Don’t just work anywhere — come build tomorrow together with us.

                                                                          -

                                                                          -

                                                                          -

                                                                          We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                          +

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          -

                                                                          Scope of Position: Support investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                          +
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Calgary-AB/Senior-Financial-Data-Analyst_JR132610?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-04-25T06:49:02.042Z,False,0,4,87,https://talenthub.vectorinstitute.ai/jobs/317421882-senior-financial-data-analyst-at-canadian-tire-corporation,,expired,2024-04-11T06:18:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, +8be20d36-6651-453f-a597-f14c1b56d50d,318652520,Scotiabank,"Data Analyst, Client Insights and Analytics - New Graduate",on_site,Canada : Ontario : Toronto,2024-04-18T16:28:02.099Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 197331

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Location: Toronto, Ontario

                                                                          +

                                                                          +


                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
                                                                          Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in several countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.
                                                                          Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +


                                                                          • Assist in the processing and validation of large volumes of financial data from various sources.
                                                                          • Collaborate with cross-functional teams to troubleshoot data discrepancies and resolve inquiries promptly.
                                                                          • Perform reconciliations between internal systems to ensure accuracy and integrity.
                                                                          • Participate in the development and implementation of process improvements related to data management and reconciliation procedures.
                                                                          • Generate reports and provide analysis to support decision-making processes.
                                                                          • Help leverage internal and external client data to facilitate opportunity identification.
                                                                          • Support adoption, change management and enhancement of our CRM (client relationship management) system.
                                                                          • Carry out ad-hoc projects and tasks as required.

                                                                          +

                                                                          +

                                                                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                          +


                                                                          • You have completed your post-secondary education between April 2023 and May 2024.
                                                                          • You have advanced experience with Excel, Power BI, and SQL.
                                                                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                                                                          • You are interested in or have knowledge of the capital markets and wholesale banking business.
                                                                          • You have experience working on a major project and/or initiative in a team.
                                                                          • You are comfortable dealing with ambiguity and a matrix-based environment.
                                                                          • You have excellent written and oral communication skills.
                                                                          • You have considerable initiative, curiosity, creativity, and attention to detail.
                                                                          • You have a high level of energy, commitment, and a strong sense of teamwork.

                                                                          +


                                                                          +

                                                                          What’s in it for you?

                                                                          +


                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                          • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.

                                                                          +

                                                                          +

                                                                          How do I apply?

                                                                          +


                                                                          For individuals applying to our new graduate roles, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:
                                                                          1. Complete your PLUM Profile here and save as a screenshot.
                                                                          2. Complete a short one-way video interview here.
                                                                          3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                                                                          +

                                                                          +

                                                                          *To be considered for opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst%2C-Client-Insights-and-Analytics-New-Graduate-ON/580094217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-25T16:33:03.790Z,False,0,25,134,https://talenthub.vectorinstitute.ai/jobs/318652520-data-analyst-client-insights-and-analytics-new-graduate-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst%2C-Client-Insights-and-Analytics-New-Graduate-ON/580094217/,expired,2024-04-18T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +8da41169-bb89-4eed-9976-7e5d27052ac4,316500496,Shopify Inc.,Applied Machine Learning,full,Canada,2024-04-05T20:20:29.919Z,"

                                                                          About Shopify

                                                                          +

                                                                          Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to 10,000 employees and generated over $496 billion in sales for millions of merchants in 175 countries.

                                                                          +

                                                                          This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

                                                                          -

                                                                          Responsibilities:

                                                                          +

                                                                          About you

                                                                          +

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          +

                                                                          Before you apply, consider if you can:

                                                                            -
                                                                          • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                          • -
                                                                          • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                          • -
                                                                          • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                          • -
                                                                          • Automate manual processes and optimize data delivery
                                                                          • -
                                                                          • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                          • -
                                                                          • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                          • -
                                                                          • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                          • -
                                                                          • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                          • -
                                                                          • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                          • +
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • +
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • +
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • +
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • +
                                                                          • Bring critical thought and opinion
                                                                          • +
                                                                          • Embrace differences and disagreement to get shit done and move forward
                                                                          • +
                                                                          • Work digital-first for your daily work

                                                                          -

                                                                          -

                                                                          Qualifications:

                                                                          +

                                                                          About the role

                                                                          +

                                                                          Machine Learning is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to build state of the art merchant- and buyer- facing products powered by ML.

                                                                          +

                                                                          As an Applied Machine Learning expert at Shopify, you'll be at the forefront of training and deploying ML systems at scale, directly empowering our merchants. Shopify is in a unique position to build state of the art ML systems the way they should be built with the resources of a world class e-commerce leader. The number of applications for ML systems at Shopify is vast. There are many different product lines looking for Applied ML Experts

                                                                          +

                                                                          Areas where you can contribute your ML expertise include:

                                                                          +

                                                                          Sidekick

                                                                          +

                                                                          We're looking to hire someone who can provide technical leadership as we use generative AI to create purpose-built solutions for entrepreneurs. We recently announced Sidekick (Tobi, our CEO describes it best) which is a perfect example of how AI can help our merchants succeed.

                                                                          +

                                                                          Shop

                                                                          +

                                                                          Working on our direct to consumer app (Shop), the goal is to create more value for buyers and merchants. This role is focused on building the next generation of search, discovery, trust and personalization algorithms, incorporating and evolving the state of the art techniques.

                                                                          +

                                                                          Search & Product Discovery

                                                                          +

                                                                          Shopify storefront is the front end of a Shopify store that customers interact with. It is the public-facing part of the store where customers can browse products, add items to their cart, and checkout. Work on this team focuses on helping connect buyers to products that they are interested in through the development of online discovery, search, recommendation, conversion optimization, and ranking systems.

                                                                          +

                                                                          Ads

                                                                          +

                                                                          Leveraging multiple statistical techniques, we are helping merchants allocate budgets more effectively, target specific audiences with personalized ads, and achieve improved results in terms of ROI and ad performance. More in general, we are building data products that improve the ability of our merchants to do effective advertising.

                                                                          +

                                                                          Financial Services

                                                                          +

                                                                          Shopify is building a financial services suite to power the Shopify economy and to meet our merchants financial needs. As part of this initiative, we are creating proprietary machine learning algorithms to enhance underwriting capabilities for lending products like Shopify Capital and Shopify Credit. Additionally, these algorithms will bolster fraud detection and mitigation capabilities for Shopify Balance, Bill Pay, and overall risk management for our range of products and services. This work involves redefining merchant engagement with financial tools, guiding the development of machine learning models and features that will drive the next generation of financial products offered by Shopify.

                                                                          +

                                                                          If any of the above areas appeal we’d love to hear from you.

                                                                          +

                                                                          Key outputs

                                                                            -
                                                                          • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                          • -
                                                                          • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                          • -
                                                                          • -Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar
                                                                          • -
                                                                          • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                          • -
                                                                          • Deep proficiency in SQL, Python, and similar languages
                                                                          • -
                                                                          • Good understanding of investment products
                                                                          • -
                                                                          • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                          • -
                                                                          • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                          • -
                                                                          • Investment data modeling experience using the Kimball method is an asset
                                                                          • -
                                                                          • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                          • -
                                                                          • Data governance experience is an asset
                                                                          • -
                                                                          • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                          • +
                                                                          • Developing, deploying and maintaining end-to-end machine learning systems at scale
                                                                          • +
                                                                          • Producing system design and architecture of scalable AI/ML systems
                                                                          • +
                                                                          • Designing and implementing robust data pipelines for training models and fine-tuning LLMs
                                                                          • +
                                                                          • Solving high impact data problems and delivering business impact through data and machine learning products
                                                                          • +
                                                                          • Prioritizing and communicating to technical and non-technical audiences alike
                                                                          • +
                                                                          • Mentoring senior data scientists

                                                                          -

                                                                          And you demonstrate:

                                                                          +

                                                                          Qualifications

                                                                          +

                                                                          Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

                                                                          +

                                                                          Before you apply, consider if you can:

                                                                            -
                                                                          • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                          • -
                                                                          • A teammate mentality coupled with servant leadership
                                                                          • -
                                                                          • A sense of urgency, optimism, and a desire to deliver excellence
                                                                          • -
                                                                          • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                          • -
                                                                          • Strong orientation towards strategy, change, and results
                                                                          • -
                                                                          • A continuous improvement mindset
                                                                          • +
                                                                          • Care deeply about what you do and about making commerce better for everyone
                                                                          • +
                                                                          • Excel by seeking professional and personal hypergrowth
                                                                          • +
                                                                          • Keep up with an unrelenting pace (the week, not the quarter)
                                                                          • +
                                                                          • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
                                                                          • +
                                                                          • Bring critical thought and opinion — and embrace differences and disagreement to get shit done and move forward
                                                                          • +
                                                                          • Work digital-first for your daily work
                                                                          -

                                                                          +

                                                                          +

                                                                          We know that applying to a new role takes a lot of work and we truly value your time. Nicole

                                                                          +

                                                                          is looking forward to reading your application. Please send us a few samples of your work: portfolio, wireframes, UX flows, publications, or whatever represents what you do best.

                                                                          +

                                                                          At Shopify, we are committed to building and fostering an environment where our employees

                                                                          +

                                                                          feel included, valued, and heard. Our belief is that a strong commitment to diversity and

                                                                          +

                                                                          inclusion enables us to truly make commerce better for everyone. We strongly encourage

                                                                          +

                                                                          applications from Indigenous peoples, racialized people, people with disabilities, people from

                                                                          +

                                                                          gender and sexually diverse communities and/or people with intersectional identities.

                                                                          ",,https://www.shopify.com/careers/applied-machine-learning_a7c10973-9fbc-4e1c-a39b-334ef465f879,aitalent@vectorinstitute.ai,https://www.shopify.ca/careers,,,2024-04-29T20:12:00.000Z,False,0,52,213,https://talenthub.vectorinstitute.ai/jobs/316500496-applied-machine-learning-at-shopify-inc,,expired,2024-04-05T20:20:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,No Degree,New Posting, +8a575cdc-1756-45d5-afa2-4e0dc8719df9,319803099,KPMG,"Manager, Data and Analytics ( Global People, Digital HR)",on_site,"Toronto, Canada",2024-04-25T16:33:02.599Z,"Overview

                                                                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                                                          The Opportunity

                                                                          The Manager – Data and Analytics is a process SME role is to lead the business-as-usual support and operations of the global People Identity Management System and work and effectively contribute to the cross-business and cross-product data and reporting-related projects and initiatives in Global People.


                                                                          What you will do

                                                                            +
                                                                          • Serving a product SME for the global people identity management system and leading the day-to-day support and operations of the service working closely with the off-shore support team. Engaging with Member Firms and global stakeholders for product and service feedback, change requests, issue resolution, etc
                                                                          • +
                                                                          • Advising and supporting the Digital HR Data Lead and the Data Working Group on technology solutions to inform and support the development of global strategies, policies and processes for the effective data-driven development of people across KPMG
                                                                          • +
                                                                          • Translating business processes and requirements into appropriate technology solutions to enable and support the deployment and adoption of agreed global policies and processes
                                                                          • +
                                                                          • Working closely with the Digital HR Data Lead and Global Head of People Technology Support Services, ITSG, and Global Data Office on the data and analytics projects aimed to deliver the consistent and coherent data management and insights solution across solutions and products
                                                                          • +
                                                                          • Stakeholder engagement & management across the network to promote awareness of Global Technologies; and promote consistency of adoption and usage
                                                                          • +
                                                                          • Assure compliance for Data and Analytics technologies in regard to internal procurement policies; and required information security and data protection rules and regulations
                                                                          • +
                                                                          • +

                                                                          What you bring to the role

                                                                            +
                                                                          • Bachelor’s degree and/or equivalent work experience
                                                                          • +
                                                                          • Strong knowledge and experience of implementing data-driven HR and Identity business operations and processes
                                                                          • +
                                                                          • Proven experience in delivering effective outcomes through others, and working within a matrix organization
                                                                          • +
                                                                          • Ability to work across cultures and build strong relationships
                                                                          • +
                                                                          • Comfortable with complexity and finding a new path or solution coupled with strong business acumen
                                                                          • +
                                                                          • Proven experience in the use of data and analytics to resolve issues and identify and develop service improvements and enhancements
                                                                          • +
                                                                          • Proven problem-solving skills; ability to drive through to solution in circumstances of complexity and ambiguity
                                                                          • +
                                                                          • Ability to deliver under difficult conditions and demonstrated balanced judgment under pressure
                                                                          • +
                                                                          • Strong business integrity and ability to hold sensitive information in confidence
                                                                          • +
                                                                          • Knowledge and experience of project methodologies and standards, in particular for development and implementation of Cloud technologies
                                                                          • +
                                                                          • Strong Business Analysis skills & experience
                                                                          • +
                                                                          • Strong enterprise data management and analysis knowledge (data architecture, data flows, data transformation, etc.)
                                                                          • +
                                                                          • Strong enterprise identity management knowledge (Identity Governance, Identity Management, Azure Active Directory, etc.)
                                                                          • +
                                                                          • SQL, Excel, Python (Pandas or equivalent for concepting, no actual development), Data Architecture Diagrams (UML, Visio).
                                                                          • +

                                                                          Keys to your success

                                                                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                                                          Providing you with the support you need to be at your best

                                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                                                                          Our Values, The KPMG Way

                                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                          Adjustments and accommodations throughout the recruitment process

                                                                          At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                                                          To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                                                          For information about accessible employment at KPMG, please visit our accessibility page.

                                                                          ",,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-05-02T16:38:01.978Z,False,0,9,59,https://talenthub.vectorinstitute.ai/jobs/319803099-manager-data-and-analytics-global-people-digital-hr-at-kpmg,https://careers.kpmg.ca/professionals/jobs/23250?lang=en-us,expired,2024-04-25T16:33:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +c9dda2b1-b8a2-41c1-a001-6b2af7788c27,328652246,Scotiabank,Data Analyst / Modeler Advisory,on_site,Canada : Ontario : Toronto,2024-06-13T16:28:02.694Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 201119

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Data Analyst Advisory:

                                                                          +

                                                                          +

                                                                          We are looking for an experienced Data Analyst to join our team.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role you will:

                                                                          +

                                                                          +
                                                                          • Work with business users to obtain data requirements and analyze source systems data.

                                                                          • Design and develop conceptual, logical and physical data models for the operational and analytical databases

                                                                          • Work closely with the technical and application architects, and developers to implement the solution architecture

                                                                          • Communicate physical database designs to, and work with, database administrator to implement databases

                                                                          • Document data flows, identify appropriate data sources, entities, relationships and redundancies

                                                                          • Manage data integrity and data quality.

                                                                          • +
                                                                          +
                                                                          • Maintain technical & business metadata. Generate metadata for Hadoop ingestion for different frameworks.

                                                                          • Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available

                                                                          • Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality

                                                                          • Support data strategies, standards, guidelines data quality process and governance across the enterprise

                                                                          • Provide leadership in researching and architecting emerging technology solutions to meet business objectives

                                                                          • +
                                                                          +

                                                                          +

                                                                          Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                          +

                                                                          +
                                                                          • Relational and dimensional data modeling and database design, Erwin (Data modeling) skills.

                                                                          • Strong SQL and and Hive (Hadoop) experience.

                                                                          • Knowledge of data architectural approaches, patterns and emerging technologies (RDBMS, Hadoop and Cloud)

                                                                          • Ability to translate business needs into technical solutions. Strong Analytical skills.

                                                                          • Experience creating architecture and strategy artifacts

                                                                          • Experience of XML, JSON, Copybook, CSV files ingestion

                                                                          • Experience working in Agile environment

                                                                          • Domain Knowledge in financial Services and enterprise functions

                                                                          • Knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products

                                                                          • Knowledge of Data Governance process for metadata and lineage management

                                                                          • +
                                                                          +

                                                                          +

                                                                          What's in it for you?

                                                                          +

                                                                          +
                                                                          • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                                                                          • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                                                                          • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                                                                          • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                                                                          • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                                                                          • +
                                                                          +

                                                                          +

                                                                          Work arrangements: Hybrid

                                                                          +

                                                                          +

                                                                          #LI-Hybrid

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Modeler-Advisory-ON-M1L4S2/581826817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-06-20T16:33:03.504Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/328652246-data-analyst-modeler-advisory-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Modeler-Advisory-ON-M1L4S2/581826817/,expired,2024-06-13T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +97213024-3add-4945-b488-287ba83daf80,327487537,BMO Financial Group,Lead AML Data Analyst,on_site,"Ontario, Canada",2024-06-07T01:07:02.888Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          06/19/2024

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Data-Engineer--Finance-Data_JR-5697-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-08-26T19:30:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/338157006-data-engineer-finance-data-at-omers,,expired,2024-08-15T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -503422c4-9489-4306-90fe-52067ac5c7e0,334451990,Deloitte,"Senior Associate/Manager, Fraud Analytics - Financial Engineering & Modeling",on_site,"Toronto, ON, Canada",2024-07-18T16:30:30.438Z,"

                                                                          Date: Jul 9, 2024

                                                                          -

                                                                          Location: Toronto, Ontario, Canada

                                                                          -

                                                                          Company: Deloitte

                                                                          -

                                                                          Job Type: Permanent
                                                                          Reference code: 126335
                                                                          Primary Location: Toronto, ON
                                                                          All Available Locations: Toronto, ON

                                                                          -

                                                                          -

                                                                          Our Purpose

                                                                          -

                                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                          -

                                                                          By living our Purpose, we will make an impact that matters.

                                                                          +

                                                                          Hybrid environment: 2 days a week in Toronto (FCP First Canadian Place-Office - 100 King St W, Toronto, ON).

                                                                          +

                                                                          +

                                                                          +

                                                                          The Lead AML Data Analyst will support the implementation of advanced data analytical solutions within the AML Enterprise group. In this role, you will collaborate with other AML teams, business partners and technical teams to dissect business problems, conduct research and analysis, structure data and build ad-hoc and/or strategic solutions to support business driven decisions. This includes preparation and investigation of data to support multiple lines of business across the enterprise to help them achieve their objectives.

                                                                            -
                                                                          • Learn from deep subject matter experts through mentoring and on the job coaching
                                                                          • -
                                                                          • Be encouraged to deepen your technical skills…whatever those may be.
                                                                          • -
                                                                          • Have many careers in one Firm.
                                                                          • +
                                                                          • Acts as a trusted SME under AML Data Management team and support the execution of strategic initiatives in collaboration with business and technology stakeholders to implement effective data solutions.
                                                                          • +
                                                                          • Leads/participates in the requirements, analysis, design, and validation on assigned initiatives.
                                                                          -

                                                                          --

                                                                          -

                                                                          Would you like to further develop your career with our exponentially expanding Strategy, Risk & Transaction group? Are you up for the challenge to help the most sophisticated Canadian and international clients to solve their quantitative and modelling issues?

                                                                          -

                                                                          What will your typical day look like?

                                                                          -

                                                                          In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                                                          -

                                                                          As a senior associate providing fraud analytics service to our clients, you will lead in the development and validation of kiting fraud detection models for large financial institutions, which includes providing expertise in guiding and analyzing detection capabilities in terms of models, rules, alert management, etc. You will also lead to assess and evaluate the end-to-end kiting detection process, ensuring its production readiness and providing timely support.

                                                                          -

                                                                          You will also be able to learn and work in other quantitative and analytical areas such as forecasting and stress testing, customer behavior modeling, and new innovations such as machine learning, natural language processing, large language models and artificial intelligence.

                                                                          -

                                                                          About the team

                                                                          -

                                                                          Deloitte’s Strategy, Risk & Transaction practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                                                          -

                                                                          Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Financial Advisory at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

                                                                          -

                                                                          Enough about us, let’s talk about you

                                                                          -

                                                                          You are someone with:

                                                                            -
                                                                          • Minimum 5 years of relevant experience in capacity of development and validation of fraud detection models.
                                                                          • -
                                                                          • Experience working with leading the development and validation of kiting fraud detection capabilities for financial institutions, including analyzing the detection capabilities in terms of models, rules, etc.
                                                                          • -
                                                                          • Experience working with developing and tuning under natural language processing (NLP) and large language models (LLM) framework.
                                                                          • -
                                                                          • Experience working on traditional regulatory (e.g. IFRS9, CCAR) credit and fraud risk models from machine learning and artificial intelligence modeling perspective.
                                                                          • -
                                                                          • Ability to program in pertinent languages, such as Python, SAS, R, Excel VBA, SQL, etc.
                                                                          • -
                                                                          • Proven ability in strong analytical and problem-solving skills, and comfortable meeting intensive deadlines.
                                                                          • -
                                                                          • Proven ability in excellent written and verbal business communication skills.
                                                                          • -
                                                                          • Solid academic background with a PhD or Master’s Degree in Mathematical Finance, Financial Engineering or other relevant post graduate degree.
                                                                          • -
                                                                          • Having or working towards Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is an asset.
                                                                          • -
                                                                          • Canadian travel required and occasional international travel. Candidates must be able to enter the USA to work on client assignments.
                                                                          • +
                                                                          • Gathers, examines, and interprets data and information to extract meaningful insights, answers business questions and provides actionable recommendations.
                                                                          • +
                                                                          • Presents and communicates effectively across all business units.
                                                                          • +
                                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                                          -

                                                                          Total Rewards

                                                                          -

                                                                          The salary range for the Senior Associate position is $75,000 - $113,000 and $95,000 - $159,000 for the Manager position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          -

                                                                          -

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          -

                                                                          Be yourself, and more.

                                                                          -

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          -

                                                                          You shape how we make impact.

                                                                          -

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          -

                                                                          Be the leader you want to be

                                                                          -

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          -

                                                                          Have as many careers as you want.

                                                                          -

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          -

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          -

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          -

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-AssociateManager%2C-Fraud-Analytics-Financial-Engineering-&-Modeling-ON/1177688900/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-08-17T16:30:32.671Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/334451990-senior-associate-manager-fraud-analytics-financial-engineering-modeling-at-deloitte,,expired,2024-07-18T16:30:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, -400267cf-4040-437f-822b-f2dfc6f9c2ad,334453004,Deloitte,"Analyst/Senior Associate, Credit Risk Models - Financial Engineering & Modeling ",on_site,"Toronto, ON, Canada",2024-07-18T16:37:32.200Z,"

                                                                          Date: Jul 3, 2024

                                                                          -

                                                                          Location: Toronto, Ontario, Canada

                                                                          -

                                                                          Company: Deloitte

                                                                          -

                                                                          Job Type: Permanent
                                                                          Reference code: 126329
                                                                          Primary Location: Toronto, ON
                                                                          All Available Locations: Toronto, ON

                                                                          -

                                                                          -

                                                                          Our Purpose

                                                                          -

                                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                          -

                                                                          By living our Purpose, we will make an impact that matters.

                                                                            -
                                                                          • Be encouraged to deepen your technical skills…whatever those may be.
                                                                          • -
                                                                          • Partner with clients to solve their most complex problems.
                                                                          • -
                                                                          • Experience MyFlex and an agile work environment where work is what you do not where you do it.
                                                                          • +
                                                                          • Designs, develops, and implements reporting solutions to meet business and regulatory reporting requirements.
                                                                          • +
                                                                          • Builds effective relationships and communications with internal/external stakeholders.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          -

                                                                          --

                                                                          -

                                                                          What will your typical day look like?

                                                                          -

                                                                          In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                                                          -


                                                                          Develop/validate/review Credit Risk models (e.g. AIRB, IFRS 9, CECL, adjudication/behavioural scoring models and CCAR models) based on industry best practices.

                                                                          -


                                                                          You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing, customer behavior modeling, and new innovations such as Machine Learning and Artificial Intelligence. You will also carry out various complex financial analyses including independent derivative evaluation, customer behavior modeling, and new innovations such as Machine Learning and Artificial Intelligence.

                                                                          -


                                                                          You will also carry out various complex financial analyses including independent derivative valuation.

                                                                          -

                                                                          About the team

                                                                          -

                                                                          Deloitte’s Financial Advisory practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                                                          -

                                                                          Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Financial Advisory at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

                                                                          -

                                                                          Enough about us, let’s talk about you

                                                                          -

                                                                          You are someone with:

                                                                          +

                                                                          +

                                                                          Qualifications:

                                                                            -
                                                                          • Minimum 1-2 years of relevant experience spent within a credit risk model development or model validation team at a major financial institution
                                                                          • -
                                                                          • Solid academic background with a PhD or Master’s Degree in Mathematical Finance, Financial Engineering or other relevant post graduate degree
                                                                          • -
                                                                          • Solid knowledge of common practices in credit risk, including expected loss (PD, LGD, EAD) methodologies;
                                                                          • -
                                                                          • Solid knowledge of supervisory/regulatory requirements as it pertains to credit risk models, including IFRS 9
                                                                          • -
                                                                          • Ability to program in pertinent languages, such as Excel, SAS, R, and python
                                                                          • -
                                                                          • Canadian travel required
                                                                          • +
                                                                          • Typically, 8+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Advanced data analytics with strong relational databases and SQL knowledge is a must.
                                                                          • +
                                                                          • Able to work independently, resolving complex or ambiguous issues or situations.
                                                                          • +
                                                                          • Able to handle multiple assignments simultaneously and work efficiently in a fast-paced environment.
                                                                          • +
                                                                          • Strong understanding of financial instruments on one or more business units – Personal and Commercial, Wealth, and Capital Markets.
                                                                          • +
                                                                          • AML/fraud analysis knowledge or ACAMS designation would be an asset.
                                                                          • +
                                                                          • Experience working with technologies including ETL, SAS, or Python would be an asset.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • +
                                                                          • Collaboration & team skills - In-depth.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • +
                                                                          • Influence skills - In-depth.
                                                                          • +
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          • Microsoft Office Suite – In-depth.
                                                                          • +
                                                                          • Technically savvy and ability to learn quickly.
                                                                          -

                                                                          Total Rewards

                                                                          -

                                                                          The salary range for the Analyst position is $62,000 - $92,000 and $75,000 - $113,000 for the Senior Associate position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          +

                                                                          -

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          +

                                                                          Compensation and Benefits:

                                                                          +
                                                                          $81,600.00 - $151,200.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          Be yourself, and more.

                                                                          -

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          -

                                                                          You shape how we make impact.

                                                                          -

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          -

                                                                          Be the leader you want to be

                                                                          -

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          -

                                                                          Have as many careers as you want.

                                                                          -

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          -

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          -

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          -

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AnalystSenior-Associate%2C-Credit-Risk-Models-Financial-Engineering-&-Modeling-%28Toronto%29-ON/1164897500/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-08-17T16:37:34.187Z,False,0,6,44,https://talenthub.vectorinstitute.ai/jobs/334453004-analyst-senior-associate-credit-risk-models-financial-engineering-modeling-at-deloitte,,expired,2024-07-18T16:37:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),,Masters Degree,New Posting, -4240c2a6-867f-4758-9ff3-cde4faf678f5,336149189,Thomson Reuters,"Senior Director, Data Enablement",on_site,"Ontario, Canada",2024-08-01T05:52:02.086Z,"
                                                                          JOB DESCRIPTION
                                                                          -
                                                                          -

                                                                          As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          Our technology drives global markets and helps professionals worldwide make decisions that matter. As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Whether solving for today\'s challenges or tomorrow\'s aspirations, you will work with the industry\'s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world\'s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Lead-AML-Data-Analyst_R240014759?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-20T20:27:00.000Z,False,0,6,36,https://talenthub.vectorinstitute.ai/jobs/327487537-lead-aml-data-analyst-at-bmo-financial-group,,expired,2024-06-07T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +7e46504a-5046-45ed-a18c-742b067b8c6f,328719667,BMO Financial Group,Manager - Virtual Connect Analytics,on_site,"Ontario, Canada",2024-06-14T01:07:01.522Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          06/19/2024

                                                                          +

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          As a Manager, BMO Virtual Connect Analytics, you will be responsible to apply data analytics and strategy to identify opportunities for optimizing operational efficiency, channel optimization, driving sales and revenue growth, and enhancing customer as well as employee experience for various departments within BMO Virtual Connect, including, but not limited to Business Banking, Treasury Payment, Small Business. Leveraging your expertise in data analytics, you will collaborate with cross-functional teams to extract actionable insights from various datasets related to customer segments, call center operations and sales performance. Your findings and recommendations will directly contribute to strategic decision-making processes aimed at improving overall business performance and customer satisfaction.

                                                                          +

                                                                          -

                                                                          About the Role :

                                                                          +

                                                                          Key Responsibilities:

                                                                          +

                                                                          -

                                                                          In this opportunity as Senior Director, Data Enablement, you will:

                                                                          -


                                                                          We are seeking a highly skilled and experience Senior Director, Data Enablement to lead our organization’s data operations, consent and privacy, synthetic and test data management. The ideal candidate will be responsible for executing and refining managing data risk, data governance operations and processes, developing third-party data management strategies, and ensuring compliance with data acquisition, storage, and processing requirements.

                                                                          +

                                                                          Analytical Capabilities & Critical Thinking

                                                                            -
                                                                          • Implement and refine data governance frameworks in accordance with data policies set by compliance teams.
                                                                          • -
                                                                          • Employ a data risk-based approach to identify potential data risks, establish mitigation plans, and classify residual risk ratings for each data risk factor.
                                                                          • -
                                                                          • Develop and maintain a third-party data management strategy, incorporating industry best practices.
                                                                          • -
                                                                          • Oversee the operational aspects of data acquisition, storage, processing to ensure compliance with relevant regulations.
                                                                          • -
                                                                          • Define requirements for data environments both within and external to Thomon Reuter’s Data Platform.
                                                                          • -
                                                                          • Consent and Privacy Operations:
                                                                          • -
                                                                          • Translate established data privacy and governance policies into operational processes, focusing on the management of personal data.
                                                                          • -
                                                                          • Oversee the data consent process, ensuring proper collection, documentation, and tracking of consent for various program executions.
                                                                          • -
                                                                          • Handle privacy inquiries and requests in a timely manner, in accordance with program delivery guidelines.
                                                                          • -
                                                                          • Develop and maintain a comprehensive Record of Processing Activities (RoPA) consistent with personal data handling policies.
                                                                          • -
                                                                          • Ensure that data handling practices, including data residency, data sharing, comply with program-specific and regulatory requirements.
                                                                          • -
                                                                          • Synthetic and Test Data Management:
                                                                          • -
                                                                          • Facilitate and creation of synthetic data sets that closely mirror production data for testing and development purposes.
                                                                          • -
                                                                          • Formulate strategies for test data management, including the application of data masking and anonymization techniques.
                                                                          • -
                                                                          • Work in collaboration with data operations and platform teams to maintain consistency and reliability in test data environments.
                                                                          • +
                                                                          • Understand business KPIs, relevant drivers and factors that can help reach business objectives for teams such as Business Banking, Small Business and Treasury Payment Solutions and more.
                                                                          • +
                                                                          • Design, develop, and implement innovative analytical solutions; and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.
                                                                          • +
                                                                          • Development and execution of strategic analytical solutions & reporting initiatives based on an understanding of the business strategy and stakeholder needs.
                                                                          • +
                                                                          • Break down strategic problems and, analyze data and information to provide subject matter insights and recommendations.
                                                                          • +
                                                                          • Work with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools.
                                                                          • +
                                                                          • Demonstrate ownership and accountability to identify opportunities as well as implement and evaluate initiatives aimed at enhancing call center efficiency and sales effectiveness.

                                                                          -

                                                                          About You

                                                                          -

                                                                          You’re a fit for the role of Senior Director, Data Enablement, if your background includes:

                                                                          +

                                                                          Data Analytics and Best Practices

                                                                            -
                                                                          • Master’s degree in Business, Computer Science, Data Science, AI or a related field.
                                                                          • -
                                                                          • Proven experience in a senior data management role, preferably as a Senior Director or equivalent.
                                                                          • -
                                                                          • Strong understanding of data risk management and mitigation strategies, on a per data risk or harm-level.
                                                                          • -
                                                                          • Experience leading technical teams at the intersection of governance, automation, and model development, preferably in a global setting.
                                                                          • -
                                                                          • Experience with data privacy laws and regulations, and the ability to operationalize privacy policies.
                                                                          • -
                                                                          • Knowledge synthetic/test data creation and management, with a focus on data security and privacy.
                                                                          • -
                                                                          • Excellent leadership and communication skills, with the ability to collaborate across various business functions.
                                                                          • -
                                                                          • Excellent leadership, communication, and project management skills.
                                                                          • -
                                                                          • Experience with common cloud and reporting tooling (AWS, GCP, Azure, Tableau, PowerBI, OneTrust, etc.)
                                                                          • -
                                                                          • Ability to influence stakeholders across business functions for enterprise adopt and change management.
                                                                          • -
                                                                          • Strategic thinker with a problem-solving mindset.
                                                                          • +
                                                                          • Gather, organize, and analyze large, complex datasets (from multiple sources: both structured and unstructured) from customer data, call logs, sales data, and other relevant sources.
                                                                          • +
                                                                          • Utilize statistical methods and analytical techniques to uncover trends, patterns, and correlations within the data.
                                                                          • +
                                                                          • Identify key drivers impacting call center efficiency, sales productivity, and customer satisfaction; and perform in-depth analysis to provide actionable, data-driven insights and recommendations.
                                                                          • +
                                                                          • Proactively identify opportunities for process improvements, cost reductions, and revenue optimization based on data analysis.
                                                                          • +
                                                                          • Be a practitioner of data best practices including QA for data accuracy and integrity, stable design, code optimization, and automation techniques.
                                                                          • +
                                                                          • Document and maintain operational procedures and processes relating to analytical and reporting processes.

                                                                          -

                                                                          #LI-LP2

                                                                          +

                                                                          Reporting and Visualization:

                                                                          +
                                                                            +
                                                                          • Develop, maintain, and monitor comprehensive customized reports, dashboards, and data visualizations based on partner needs and communicate data driven insights effectively to stakeholders.
                                                                          • +
                                                                          • Present insights and recommendations to peers as well as Senior Leadership in a clear, concise manner to facilitate data-driven decision-making processes.
                                                                          • +
                                                                          • Develop and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                          • +
                                                                          • Integrate information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                                                          • +
                                                                          +

                                                                          +

                                                                          Cross-Functional Collaboration:

                                                                          +
                                                                            +
                                                                          • Collaborate with cross-functional teams to implement and evaluate initiatives aimed at enhancing call center efficiency and sales effectiveness.
                                                                          • +
                                                                          • Build effective relationships with internal/external stakeholders and function as a subject matter expert on data analytics, providing guidance and support to stakeholders across the organization.
                                                                          • +

                                                                          -

                                                                          What\'s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          +

                                                                          Risk Management

                                                                          +
                                                                          • Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements.
                                                                          +

                                                                          +

                                                                          +

                                                                          Qualifications:

                                                                            -
                                                                          • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                          • -
                                                                          • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                          • -
                                                                          • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                          • -
                                                                          • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                          • -
                                                                          • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                          • -
                                                                          • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          • +
                                                                          • Bachelor\'s degree in Mathematics, Statistics, Computer Science, Economics, or a related field of study. Advanced degree preferred.
                                                                          • +
                                                                          • Typically, 5-7 years of relevant work experience in data manipulation and analysis, preferably in an analytics-driven environment. Familiarity with banking processes, call center software, and sales analytics platforms is a plus.
                                                                          • +
                                                                          • Knowledge and deep understanding around Business Banking process, products and services is a plus.
                                                                          • +
                                                                          • Proficiency in MS Office products and data analytics, data visualization and statistical tool sets including but not limited to SQL, SAS, R, Python, SPSS, Spotfire, Tableau, Power BI
                                                                          • +
                                                                          • Strong analytical, problem-solving, and data-driven decision-making skills.
                                                                          • +
                                                                          • Initiative-taking approach to identifying and addressing business challenges.
                                                                          • +
                                                                          • Meticulous mindset with a focus on accuracy and precision.
                                                                          • +
                                                                          • Excellent verbal and written communication, and presentation skills, with the ability to convey technical concepts to non-technical audiences.
                                                                          • +
                                                                          • Ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
                                                                          • +
                                                                          • Ability to plan, organize and work on multiple tasks simultaneously whilst taking ownership and accountability. +
                                                                          • +
                                                                          • Proven experience and proficiency in Creative Thinking, Data storytelling, Decision Making and end-to-end project management.
                                                                          +

                                                                          +

                                                                          Compensation and Benefits:

                                                                          +
                                                                          $68,000.00 - $126,000.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          -

                                                                          -

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          -

                                                                          -

                                                                          Accessibility

                                                                          -

                                                                          -

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          -

                                                                          -

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          -
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ181464/Senior-Director-Data-Enablement?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-08-19T05:57:03.435Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/336149189-senior-director-data-enablement-at-thomson-reuters,,expired,2024-08-01T05:52:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Masters Degree,New Posting, -ea40c661-b431-401b-9863-5f767b75226c,337230787,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-08-08T06:13:01.567Z,"
                                                                          -

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager---Virtual-Connect-Analytics_R240011456-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-06-20T20:28:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/328719667-manager-virtual-connect-analytics-at-bmo-financial-group,,expired,2024-06-14T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +ff298f4f-25f6-4dc3-8b29-dd596afcdb03,303979392,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2024-02-02T06:38:02.462Z,"
                                                                          +
                                                                          +

                                                                          What\'s the opportunity?

                                                                          +

                                                                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                                                          +

                                                                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                                                          +
                                                                          +
                                                                          +

                                                                          Your responsibilities include:

                                                                          +
                                                                            +
                                                                          • Developing novel AI solutions that facilitate impactful products;
                                                                          • +
                                                                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                                                          • +
                                                                          • Working with the development team to transfer research work into production;
                                                                          • +
                                                                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                                                          • +
                                                                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          You’re our ideal candidate if you have:

                                                                          +
                                                                            +
                                                                          • A passion for solving open problems using data and algorithms;
                                                                          • +
                                                                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                                                          • +
                                                                          • Ability to formulate and drive a research project independently without close supervision;
                                                                          • +
                                                                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                          +
                                                                            +
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • +
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                          +

                                                                          About Borealis AI

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                                                          +
                                                                          +
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=7068163002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-03-06T21:17:01.425Z,False,0,21,127,https://talenthub.vectorinstitute.ai/jobs/303979392-machine-learning-researcher-at-borealis-ai,,expired,2024-02-02T06:38:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +32fe5453-91a5-45a8-9729-139c03b604f2,304480143,Cohere AI,"Tech Lead Manager, Model Efficiency",on_site,"Toronto, ON, Canada",2024-02-04T16:34:02.982Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +

                                                                          +
                                                                          The Model Efficiency team advances Cohere base models’ speed, reduces model size, and increases compute efficiency through improving model architecture and optimizing ML frameworks.
                                                                          +

                                                                          +
                                                                          +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. +
                                                                          +
                                                                          +

                                                                          As a Tech Lead Manager, Model Efficiency, you will:

                                                                          +
                                                                              +
                                                                            • Drive the team: hire, mentor, and coach team members.
                                                                            • +
                                                                            • Own the team's technical strategy and roadmap by setting metrics, and product-focused goals.
                                                                            • +
                                                                            • Have a deep understanding of ML accelerators, model architectures, and how to optimize their model performance on accelerators for inference.
                                                                            • +
                                                                            • Work with product managers, tech leads, and machine learning engineers to build out engineering plans or capture requirements.
                                                                            • +
                                                                            • Manage the team's workload and priorities, ensuring timely delivery of projects.
                                                                            • +
                                                                            • Mentor and coach team members, providing guidance on technical and career development.
                                                                            • +
                                                                          +
                                                                          +

                                                                          You may be a good fit if:

                                                                          +
                                                                              +
                                                                            • You have a proven track record as a people leader (3+ years of experience in engineering management); you are passionate about building rapport with your team and you prioritize 1:1s.
                                                                            • +
                                                                            • You have hands-on experience with large language models (LLMs).
                                                                            • +
                                                                            • You have experience developing large foundation models, distributed training infrastructure, and/or inference frameworks.
                                                                            • +
                                                                            • You have excellent presentation and communication skills; comfortable explaining technical topics to non-technical users or members of other teams.
                                                                            • +
                                                                            • You are passionate about recruiting, growing people and teams.
                                                                            • +
                                                                            • You are comfortable with leading multiple projects and adjusting processes quickly when priorities change.
                                                                            • +
                                                                          +
                                                                          +

                                                                          +

                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/a9457811-9733-4e93-a495-802775e06460,feed-importer@jobboard.io,,,,2024-02-29T16:39:03.048Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/304480143-tech-lead-manager-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/a9457811-9733-4e93-a495-802775e06460,expired,2024-02-04T16:34:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Team Lead,No Degree,New Posting, +060acf13-3b36-44e2-956a-3115b3c6c9ba,303930359,NVIDIA,3D Reconstruction Research Engineering Intern - Summer 2024,on_site,"Toronto, ON, Canada",2024-02-02T01:54:49.614Z,"

                                                                          We're Hiring a 3D Reconstruction Research Engineering Intern!

                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          Do you have passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                          +

                                                                          NVIDIA is searching for a world-class intern to join our 3D Reconstruction team, building tools and technologies to help our research teams working at the cutting edge of applying Neural Graphics techniques to create 3D worlds from real world sensor data. Our team works closely with both researchers and Omniverse developers team to enable new 3D Deep Learning methods as well as to bring that work into real world products with applications to simulation, autonomous driving, and robotics. The ideal candidate will be involved in research at the intersection of Machine Learning, Computer Graphics and Computer Vision, with a passion for turning that work into tangible products. With your experience and skills, your work with NVIDIA’s world leading experts will enable contributions to major advancements in 3D reconstruction and it’s applications in industry. With its unique open culture, NVIDIA is one of the best industry labs for AI and graphics research.

                                                                          -

                                                                          The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                          +

                                                                          GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain - two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

                                                                          -

                                                                          As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                          +

                                                                          What you’ll be doing:

                                                                          +
                                                                            +
                                                                          • Invent or apply deep learning techniques to the field of 3D and 4D content creation (photogrammetry, NeRF-based techniques, etc.)
                                                                          • +
                                                                          • Optimize and improve research techniques to enable production-quality results
                                                                          • +
                                                                          • Integrate deep learning based reconstruction rendering techniques with traditional 3D rendering approaches
                                                                          • +
                                                                          • Participate in projects to conduct Deep Learning research and publish papers to well-known conferences (ex.SIGGRAPH, CVPR, NeurIPS)
                                                                          • +
                                                                          • Apply 3D reconstruction research efforts to products advancing simulation for autonomous driving, robotics, and other domains
                                                                          • +

                                                                          -

                                                                          You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                          -

                                                                          To achieve this, we will be leveraging many systems across Sunlife, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                          +

                                                                          What we need to see:

                                                                          +
                                                                            +
                                                                          • Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
                                                                          • +
                                                                          • Strong technical abilities in traditional computer graphics or 3D reconstruction techniques such as NeRF, Gaussian Splatting, etc – with at least one working project demonstrating these abilities
                                                                          • +
                                                                          • Coursework in theories and practices of machine learning, including common machine learning frameworks
                                                                          • +
                                                                          • Coursework in traditional computer graphics and/or compilers
                                                                          • +

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          Ways to stand out from the crowd:

                                                                            -
                                                                          • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                          • -
                                                                          • Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
                                                                          • -
                                                                          • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                          • -
                                                                          • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                          • -
                                                                          • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                          • -
                                                                          • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                          • -
                                                                          • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. -
                                                                          • -
                                                                          • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.
                                                                          • +
                                                                          • In-depth knowledge of the theory and practice of machine learning and traditional computer graphics
                                                                          • +
                                                                          • Strong publication record with at least 1 accepted paper for a related well-known conference (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)
                                                                          • +
                                                                          • Knowledge of common machine learning frameworks

                                                                          -

                                                                          What do you need to succeed?

                                                                          +

                                                                          NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? If so, we want to hear from you!

                                                                          +

                                                                          The hourly rate for our interns is 19 CAD - 75 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

                                                                          +

                                                                          You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

                                                                          ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/XMLNAME-3D-Reconstruction-Research-Engineering-Intern---Summer-2024_JR1978710,aitalent@vectorinstitute.ai,https://www.nvidia.com/en-us/about-nvidia/careers/,,,2024-03-03T01:54:51.343Z,False,0,36,199,https://talenthub.vectorinstitute.ai/jobs/303930359-3d-reconstruction-research-engineering-intern-summer-2024-at-nvidia,,expired,2024-02-02T01:54:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Bachelors Degree,New Posting, +be188ec1-7fd8-4034-bb84-357058ceab49,313621479,RBC,"Senior Analyst, Stress & Impairment",on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.978Z,"
                                                                          +

                                                                          Job Summary

                                                                          The Senior Analyst, Stress & Impairment will support the execution of live production and infrastructure maintenance for our Credit Measurement System (CMS), which employs a collection of models used to estimate and report forward-looking expected credit losses (ECL), primarily for loans in RBC’s banking book portfolios.

                                                                          You will focus on models for Wholesale, Retail and Capital Markets products, with opportunity to expand and grow through time in other related areas. You will assist Senior Director and Director Stress & Impairment in the execution and maintenance of forward-looking banking-book credit loss projection models and IFRS 9 and CECL credit provisioning and loan portfolio stress testing requirements. You will assist Senior Management and the Board in understanding critical measurement issues relating to forward-looking portfolio performance matters.

                                                                          The team has significant impact across the bank and continuous interactions with other groups, including Senior Management and regulators.

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          +

                                                                          As part of the Group Risk Management team, the Senior Analyst, Stress & Impairment will support the execution of live production and infrastructure maintenance for our Credit Measurement System (CMS), which employs a collection of models used to estimate and report forward-looking expected credit losses (ECL), primarily for loans in RBC’s banking book portfolios.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • -5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                          • -
                                                                          • -5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                          • -
                                                                          • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                          • -
                                                                          • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                          • -
                                                                          • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                          • -
                                                                          • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                          • -
                                                                          • Comfortable learning new applications and processes quickly with minimal direction
                                                                          • -
                                                                          • Ability to document work.
                                                                          • +
                                                                          • Assist in the execution and maintenance of time-sensitive IFRS 9 and CECL live production runs in CMS.
                                                                          • +
                                                                          • Support requests from model builders, validators and auditors regarding data and methodology aspects associated with the credit loss models
                                                                          • +
                                                                          • Develop and/or implement testing and reporting methodologies, including model testing, calibration and monitoring performance
                                                                          • +
                                                                          • Assist in preparation of technical whitepapers and presentations, as well as other documents pertaining to implemented models, technologies, and/or analyses
                                                                          • +
                                                                          • Perform scenario/change impact analyses for communication to Senior Management, with focus on business and risk implications
                                                                          • +
                                                                          • Facilitate integration and automation of modeling and reporting changes in CMS and their promotion to BAU production processes
                                                                          • +
                                                                          • Role focus: analytical and statistical technical tools used for credit risk, data and change management, methodology development & implementation
                                                                          • +
                                                                          • Tailor best solutions based on materiality, timelines and available resources
                                                                          • +
                                                                          • Research and keep abreast on credit methodologies and data analytics, to ensure RBC is a leading institution on best practices across the industry

                                                                          -

                                                                          What will be nice to have?

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          +

                                                                          Must Have:

                                                                            -
                                                                          • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                          • -
                                                                          • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                          • -
                                                                          • Experience in Salesforce
                                                                          • -
                                                                          • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                          • -
                                                                          • Additional statistical programming languages (i.e SAS/R)
                                                                          • -
                                                                          • Advanced user of MS Excel and MS Access
                                                                          • +
                                                                          • Undergraduate, and preferably graduate, degree in a quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills
                                                                          • +
                                                                          • 1+ years of relevant business work experience in quant groups (risk, front office, etc.) in the financial industry
                                                                          • +
                                                                          • 1+ years of programming experience with tools such as SAS, SQL, Python, Excel/VBA.
                                                                          • +
                                                                          • Ability to communicate complex concepts to a non-technical audience
                                                                          • +
                                                                          • Strong conceptual, analytical, and problem solving skills. Ability to tailor analysis to required level of precision

                                                                          -

                                                                          Unique Requirement?

                                                                          +

                                                                          Nice-to-Have:

                                                                            -
                                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                          • -
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                                                          • +
                                                                          • FRM and/or CFA would be an asset
                                                                          • +
                                                                          • Prior work experience in credit risk modeling, stress testing, credit portfolio analysis, and credit provisioning would be an asset.

                                                                          +

                                                                          What is in it for you?

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                            -
                                                                          • We’re proud to be a Best Workplace for Hybrid Work by Great Place to Work® Canada
                                                                          • -
                                                                          • Recognized in 2023 with the Most Trusted Executive team by Great Place to Work® Canada.
                                                                          • -
                                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
                                                                          • -
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                                          • -
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security.
                                                                          • -
                                                                          • Flexible hybrid work model including work-from-home if you prefer.
                                                                          • -
                                                                          • Care Days are available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.
                                                                          • -
                                                                          • Our unique Sabbatical Program gives you the opportunity to take up to 6 weeks off, every five years.
                                                                          • -
                                                                          • An environment of continuous learning and improvement with a friendly, collaborative and inclusive culture.
                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                                                          • +
                                                                          • Ability to make a difference and lasting impact
                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • +
                                                                          • Opportunities to take on progressively greater accountabilities
                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Credit Risk Management, MS SQL Queries, Python (Programming Language), Risk Management, Risk Management Information Systems

                                                                          +

                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          GROUP RISK MANAGEMENT

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-03-19

                                                                          Application Deadline:

                                                                          2024-03-31

                                                                          -

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +

                                                                          -

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          -

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          15/08/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00096069?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-08-19T06:18:01.913Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/337230787-senior-data-analyst-at-sun-life-financial,,expired,2024-08-08T06:13:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -cb227136-5a3b-4b7a-b908-a8576d78a460,336800448,RBC,"Senior Data Engineer, GFT",on_site,"Toronto, ON, Canada",2024-08-05T07:49:02.652Z,"
                                                                          +

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000082434/Senior-Analyst-Stress-Impairment,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-01T06:34:01.854Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/313621479-senior-analyst-stress-impairment-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +cd6f8809-72af-4f09-893c-1cf3d77a4a73,312906780,Scotiabank,"Manager, Business Intelligence & Analytics - Canadian Business Banking",on_site,Canada : Ontario : Toronto,2024-03-18T16:26:02.747Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 195461

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Manager, Business Intelligence and Analytics – Canadian Business Banking

                                                                          +



                                                                          Purpose

                                                                          +

                                                                          +

                                                                          This position supports development of Business Intelligence and Analytics in Canadian Business Banking ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

                                                                          +



                                                                          Reporting to the Senior Manager, Business Intelligence and MIS you will work independently to identify, develop and implement strategies to achieve results. You will possess a high degree of judgement to effectively review and analyze initiatives, as well as to create directions for various projects.

                                                                          +



                                                                          The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. You will work with various partners using influence and negotiation skills to ensure objectives are met.

                                                                          +



                                                                          Accountabilities:

                                                                          +



                                                                          Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                                          +



                                                                          Supports the development and management of business intelligence/MIS/Analytics for Commercial Banking:

                                                                          +
                                                                          • Develops business intelligence reports including Sales Team Scorecards, Sales activity and other Portfolio Management reports and solutions
                                                                          • Ensures reports are available to the business on a timely basis and are accurate
                                                                          • Provides reports encompassing all Business Bank business lines, sub-business lines and segments
                                                                          • Ensures Sales teams and Business Bank leadership teams have appropriate amount of drill down capability to measure and manage their portfolios/business performance
                                                                          • Works with other reporting teams (e.g. Salesforce) to ensure business intelligence produced by different groups in the bank produce consistent results
                                                                          • +
                                                                          +

                                                                          +

                                                                          Provides leading edge solutions to Business Banking stakeholders on Business Intelligence/MIS:

                                                                          +
                                                                          • Implements reports in leading edge business intelligence tools (e.g. Tableau, Power BI)
                                                                          • Supports development of appropriate infrastructure for Business Banking teams to access reports on an on-demand basis (e.g. through Salesforce)
                                                                          • Enhances their knowledge and skills on business intelligence tools and infrastructure on an ongoing basis to provide Commercial Banking best in class Business Intelligence solutions
                                                                          • Ensures ongoing improvements in automation and process improvements to cut down cycle time for report generation and availability
                                                                          • +
                                                                          +


                                                                          Supports the development of analytics to enable sales effectiveness, portfolio management and business development:

                                                                          +
                                                                          • Supports incumbent’s manager, Commercial Customer Experience and the Leadership team in annual development and/or refinement of Performance metrics for the sales teams across all Commercial Business lines
                                                                          • Provides in-depth analysis/insights on historical metrics and assists in development of new metrics
                                                                          • Ensures new metrics are incorporated into Performance reporting on a timely basis
                                                                          • Helps develop analytics to support key commercial bank initiatives (e.g. The Pulse, Operational reporting/analytics, portfolio management and business development initiatives etc.)
                                                                          • +
                                                                          +


                                                                          Collaborates with stakeholders in relation to delivery of Business intelligence:

                                                                          +
                                                                          • Works collaboratively with data infrastructure teams within Commercial Analytics and GBM Analytics teams to ensure appropriate data infrastructure is in place to facilitate timely and accurate delivery of business intelligence reports
                                                                          • Works collaboratively on requests from field support teams to ensure field queries and feedback is actioned and incorporated in future MIS developments
                                                                          • Works proactively with development teams in Salesforce and other areas to improve infrastructure required to enhance efficiencies for end users and for the Analytics teams
                                                                          • Supports Commercial Customer Experience and Sales teams on ad-hoc analysis
                                                                          • +
                                                                          +


                                                                          Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.


                                                                          Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                                                                          +


                                                                          Champions a high-performance environment and contributes to an inclusive work environment.

                                                                          Educational Requirements:

                                                                          +

                                                                          +

                                                                          • Bachelor's Degree in Computer Science, Finance, Economics or Statistics
                                                                          • MBA (Finance or Analytics) – preferred

                                                                          +


                                                                          Experience:

                                                                          +


                                                                          • 3+ years experience in developing Business Intelligence solutions through Power BI and/or Tableau
                                                                          • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                                                                          • Exposure or experience in programming, application development and/or data warehousing
                                                                          • Experience accessing, compiling and analyzing large volumes of data into usable form required
                                                                          • Using SAS, SQL server database programming an asset
                                                                          • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                                                                          • Experience with open-source languages such as Python, Django, Flask, JS, D3, Angular an asset

                                                                          +

                                                                          Skills:

                                                                          +


                                                                          • Advanced proficiency with Excel programming and Microsoft Access skills including queries, forms, reports and macros
                                                                          • Excellent verbal and written communication skills are required
                                                                          • Strong prioritizing, analytical, presentation, project management and planning skills
                                                                          • Effective strategic thinking, organizational know-how and influencing skills are critical for success
                                                                          • High degree of knowledge of Business products and profit drivers
                                                                          • Strong technical skills in Math, Statistics, Computer Science or related fields
                                                                          • Excellent design and delivery capabilities
                                                                          • Ability to work non-standard hours as required

                                                                          +

                                                                          +

                                                                          #LI-Hybrid

                                                                          +

                                                                          #IN-CB

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H-3Y2/579198517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-01T16:31:04.178Z,False,0,3,57,https://talenthub.vectorinstitute.ai/jobs/312906780-manager-business-intelligence-analytics-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Business-Intelligence-&-Analytics-Canadian-Business-Banking-ON-M5H-3Y2/579198517/,expired,2024-03-18T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b77a5161-ba7f-4c1a-af13-1019f6cecdda,309995236,Scotiabank,"Data Engineer, Scotiabank",on_site,Canada : Ontario : Toronto,2024-03-03T16:26:01.897Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 187572

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                                          +

                                                                          +

                                                                          Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements. Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

                                                                          +


                                                                          +

                                                                          Is this role right for you? In this role you will:

                                                                          +

                                                                          +
                                                                          • Contributes to the overall success of the Data Engineering and Data Services in Canada

                                                                          • Ensures specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                                                          • Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                                                          • Champions a high-performance environment and contributes to an inclusive work environment.

                                                                          • Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.

                                                                          • Hands-on development supporting Data integration, Analytics and Cloud environments.

                                                                          • Contribute to data ingestion, transformation and extraction solutions in Enterprise big data platform (EDL)

                                                                          • Contribute to data and project design and delivery for some of highly visible and critical projects across bank like TSYS Modernization

                                                                          • Contribute to translating architecture or design into both logical and physical data models that comply with existing (and evolving) standards and practices.

                                                                          • Work with the Data Architecture and QA teams

                                                                          • Understand the risk culture and how it should be considered in day-to-day activities and decisions.

                                                                          • Actively pursues effective and efficient operations of his/her respective areas in accordance with organization values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, and AML/ATF/sanctions.

                                                                          • +
                                                                          +


                                                                          +

                                                                          Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                          +

                                                                          +
                                                                          • At least 5 years of industry experience in software development using agile methods (Scrum, Kanban, etc.)

                                                                          • Excellent understanding of database and data management concepts and technologies

                                                                          • At least 3 years of experience in working with Big Data including Apache Hadoop, Hive, Sqoop, Spark

                                                                          • 3+ years of hands-on experience working with Talend or similar ETL (Extract-Transform-Load) tools

                                                                          • 3+ years of hands-on experience with Java and/or Python

                                                                          • Hands-on experience with Unix/Linux Command Line Interface (CLI) and shell scripting

                                                                          • Working experience with GitHub, JIRA, Confluence, DevOps, Jenkins pipelines, and code promotion

                                                                          • Strong communication and presentation skills

                                                                          • Level-3 production support experience is an asset and sometimes required

                                                                          • +
                                                                          +


                                                                          +

                                                                          What's in it for you?

                                                                          +

                                                                          +
                                                                          • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

                                                                          • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

                                                                          • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

                                                                          • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

                                                                          • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

                                                                          • +
                                                                          +



                                                                          Working location condition: Hybrid

                                                                          #LI-Hybrid

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Scotiabank-ON-M1L4S2/575414317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-04-03T19:05:43.499Z,False,0,7,163,https://talenthub.vectorinstitute.ai/jobs/309995236-data-engineer-scotiabank-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Scotiabank-ON-M1L4S2/575414317/,expired,2024-03-03T16:26:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +3ea53d89-046a-4f44-9828-4034324052a2,313621477,RBC,Director Financial Reporting and Analytics,on_site,"Toronto, ON, Canada",2024-03-21T06:29:01.750Z,"

                                                                          Job Summary

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          -

                                                                          Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

                                                                          -

                                                                          Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

                                                                          -


                                                                          This is a newly created position working on our regulatory project - RM (Risk Modernization), under GFT Programs. The primary focus of this role is to act as a an experienced developer - covering design, implementation and support of the RM applications, namely Aggregation of Market Risk and Market Data Shocks and Scenarios generation. Additional focus will be to work with other internal application development teams.

                                                                          Will be responsible in developing, coding, testing and debugging new software or making significant improvements to existing software. Must be self-motivated and able to work with minimum supervision.

                                                                          Must Have:

                                                                          +

                                                                          +

                                                                          Join the dynamic Transformation and Enterprise Operations (TEO) Business Intelligence Reporting, Analytics and Insights team and leverage data from across the enterprise and advanced tooling to drive transformative Reporting, Analytics and Insights solutions for business partners across the enterprise. You will collaborate closely with Finance and TEO stakeholders to lead the development, deployment and continuous improvement of a suite of automated reporting solutions by leveraging various BI, analytics and ML technologies for management, regulatory and business reporting that will unearth valuable insights for enhanced governance and decision-making. Your leadership will be pivotal in empowering our teams, influencing and ensuring we deliver upon TEO\'s strategic objectives, and ensuring our reporting and analytics solutions remain agile and relevant. Join us and make a lasting impact on our organization\'s future.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                          +
                                                                            +
                                                                          • Lead in the overall direction, recommendation and implementation of automated BI reporting solutions including financial and operational dashboards, data visualizations and a variety of advanced analytics models.

                                                                          • +
                                                                          • Oversight of the development, production and maintenance of financial and non-financial reporting during monthly/quarterly/yearly reporting cycles to meet SLA and quality standards. This includes reporting against EPM, CGID, EDW and any other data sources.

                                                                          • +
                                                                          • Lead efforts to identify and implement process optimization and continuous improvements to enhance the efficiency and effectiveness of reporting practices.

                                                                          • +
                                                                          • Lead the establishment of a TEO data center of excellence and data ecosystem, engage in the design, development and maintenance of scalable data pipelines and ETL processes specific to Dataiku, Python, VBA, Tableau and other technologies.

                                                                          • +
                                                                          • Lead the design, development and deployment of storytelling dashboards and efficient data models that provide business insights to support TEO KPIs and strategic priorities.

                                                                          • +
                                                                          • Lead data analytics initiatives and develop analytical models, algorithms, and visualizations that provide actionable insights.

                                                                          • +
                                                                          • Implement robust data governance standards, and processes to monitor self-serve database instances, data volume and governance around guidelines and best practices.

                                                                          • +
                                                                          • Adopt advanced analytics techniques and stay up to date with industry trends and advancements in data analytics, including machine learning, artificial intelligence, and predictive analytics.

                                                                          • +
                                                                          +

                                                                          +

                                                                          What do you need to succeed?

                                                                          +

                                                                          Must have:

                                                                            -
                                                                          • 2+ years application development experience in Hadoop, Spark and Java/Scala.

                                                                          • -
                                                                          • 4-5 years application development experience in Java and Spring Framework

                                                                          • -
                                                                          • 1 -2 years of working in Cloud environment – AWS, Azure

                                                                          • -
                                                                          • Some programming experience in Python (1-2years)

                                                                          • -
                                                                          • Working knowledge of Jenkins CI, Git, CI/CD pipelines

                                                                          • -
                                                                          • Ability to work with multiple stakeholders – business and technical

                                                                          • -
                                                                          • Self-motivated, independent thinker

                                                                          • +
                                                                          • A visionary leader with a unique blend of financial acumen, business insight, and technical expertise including leadership by example in teamwork, cross unit co-operation and information sharing

                                                                          • +
                                                                          • Excellent people management skills, 10+ years and/or management of large functional / operation group

                                                                          • +
                                                                          • Bachelor’s or master’s degree in Finance, Computer Science, Financial Engineering, Mathematics or equivalent education/experience

                                                                          • +
                                                                          • Excellent knowledge of financial systems, reporting processes, databases, data engineering, data analysis, data governance and best practices as well as strong knowledge of BI technologies such as Dataiku, Python, Tableau, Cognos Analytics, advanced SQL and other tools.

                                                                          • +
                                                                          • Great organization awareness and strategic mindset to effectively create and communicate the value proposition to a variety of stakeholders, understand and assess tradeoffs, options and implications, impact and influence.

                                                                          -

                                                                          Nice to Have

                                                                          +

                                                                          Nice-to-have:

                                                                            -
                                                                          • Experience in building end to end data pipelines on AWS/Azure and/or Databricks

                                                                          • -
                                                                          • Proven hands-on experience in containerization – Docker, Kubernetes, Openshift etc.

                                                                          • -
                                                                          • Knowledge in Market Risk/Capital Markets/Banking.

                                                                          • +
                                                                          • Experience and knowledge of RBC internal systems (EPM, EDW, ODIN, Workday, Finance Datamart, FiBRS …)

                                                                          • +
                                                                          • Financial Services Industry experience

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • Ability to make a difference and lasting impact

                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • -
                                                                          • A world-class training program in financial services.

                                                                          • +
                                                                          • A world-class training program in financial services

                                                                          • +
                                                                          • Flexible work/life balance options

                                                                          • Opportunities to do challenging work

                                                                          • -
                                                                          • Opportunities to take on progressively greater accountabilities

                                                                          • -
                                                                          • Opportunities to building close relationships with clients

                                                                          • -
                                                                          • Access to a variety of job opportunities across business and geographies.

                                                                          #LI-Post

                                                                          #LI-Hybrid

                                                                          -

                                                                          #LI-PK

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Skills

                                                                          Amazon Redshift, Apache Hadoop, Apache Spark, AWS Cloud Computing, Big Data Management, Cloud Computing, Data Warehouse Development, Docker (Software), Java, Kubernetes, Microservices Architecture, Microsoft Azure, Microsoft Azure Databricks, Python (Programming Language), Red Hat OpenShift, Requirements Analysis, Scala (Programming Language), Snowflake (Platform), Spring Framework

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-04-22

                                                                          Application Deadline:

                                                                          2024-08-30

                                                                          +

                                                                          #TechPJ

                                                                          +

                                                                          Job Skills

                                                                          Accounting Finance, Commercial Acumen, Decision Making, Effectiveness Measurement, Finance, Finance Analytics, Financial Analysis and Reporting, Financial Regulatory Reporting, Performance Management (PM)

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          180 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          Technology and Operations

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2023-09-22

                                                                          Application Deadline:

                                                                          2024-04-03

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000085616/Senior-Data-Engineer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-08-19T07:54:01.841Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/336800448-senior-data-engineer-gft-at-rbc,,expired,2024-08-05T07:49:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -22d08d43-0f28-448b-9b33-edcd3a9778a0,339051873,Google,"Staff Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-08-22T05:54:02.222Z,"
                                                                          -
                                                                          -

                                                                          Staff Software Developer, Front End, Applied AI

                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          -
                                                                          -

                                                                          Minimum qualifications:

                                                                          -
                                                                            -
                                                                          • Bachelor\'s degree or equivalent practical experience.
                                                                            -
                                                                          • -
                                                                          • 8 years of experience in software development, and with data structures/algorithms.
                                                                            -
                                                                          • -
                                                                          • 5 years of experience with front-end frameworks, full-stack development, or API development.
                                                                            -
                                                                          • -
                                                                          • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
                                                                            -
                                                                          • -
                                                                          • Experience with Large Language Models, NLP, or Generative AI.
                                                                            -
                                                                          • -
                                                                          -

                                                                          Preferred qualifications:

                                                                          -
                                                                            -
                                                                          • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
                                                                            -
                                                                          • -
                                                                          • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
                                                                            -
                                                                          • -
                                                                          • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
                                                                            -
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          About the job

                                                                          -

                                                                          Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                          -

                                                                          Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                          -
                                                                          -
                                                                          -

                                                                          Responsibilities

                                                                          -
                                                                            -
                                                                          • Provide technical leadership on high-impact projects.
                                                                            -
                                                                          • -
                                                                          • Influence and coach a distributed team of developers.
                                                                            -
                                                                          • -
                                                                          • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
                                                                            -
                                                                          • -
                                                                          • Manage project priorities, deadlines, and deliverables.
                                                                            -
                                                                          • -
                                                                          • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
                                                                            -
                                                                          • -
                                                                          -
                                                                          -
                                                                          -

                                                                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                          -

                                                                          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                          -

                                                                          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                          -

                                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                          -

                                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                          -
                                                                          -
                                                                          ",,https://www.google.com/about/careers/applications/jobs/results/102875600573604550-staff-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-08-29T16:03:03.112Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/339051873-staff-software-developer-front-end-applied-ai-at-google,,expired,2024-08-22T05:54:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -916cc2be-86f3-4297-9589-49ca31926bcc,339491884,Thomson Reuters,Ld Research Engineer,on_site,"Ontario, Canada",2024-08-26T05:52:02.000Z,"
                                                                          JOB DESCRIPTION
                                                                          -
                                                                          -
                                                                          Lead Research Engineer
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          Do you love creating innovative solutions for customers?

                                                                          -

                                                                          We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers. 

                                                                          -

                                                                          What does Thomson Reuters Labs do?

                                                                          -

                                                                          We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

                                                                          -

                                                                          -

                                                                          As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000068577/Director-Financial-Reporting-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-04-04T06:34:03.463Z,False,0,1,40,https://talenthub.vectorinstitute.ai/jobs/313621477-director-financial-reporting-and-analytics-at-rbc,,expired,2024-03-21T06:29:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +d7577b6e-320a-4b73-b179-866264f744bf,314963183,Roche,Data Engineer/MLOps,on_site,"Mississauga, ON, Canada",2024-03-28T15:53:30.011Z,"

                                                                          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                          -

                                                                          Is this you? Come join us! 

                                                                          +

                                                                          The Position
                                                                          +

                                                                          +

                                                                          And as the world evolves, so do we. For over 125 years, we have taken on some of the most complex challenges in healthcare.

                                                                          +

                                                                          As a Machine Learning Data Engineer specialized in medical/clinical image data analysis techniques, you will join the data engineering cluster in the Roche Informatics Data and Analytics Chapter (DnA).
                                                                          +You will be part of one multi-disciplinary agile team where you’ll actively shape the future of healthcare by using data engineering and machine learning methods and principles to generate deeper insights from a great variety of imaging data sources. To achieve this, you will help deploy, manage, and optimize machine learning models in production environments and support the development of advanced analytics algorithms utilizing clinical images to address scientific questions related to prognostic and/or predictive biomarkers.

                                                                          -

                                                                          About the Role:

                                                                          -

                                                                          In this opportunity as a Lead Research Engineer, you will: 

                                                                          +

                                                                          Your Opportunity:

                                                                            -
                                                                          • -Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
                                                                          • -
                                                                          • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                                          • -
                                                                          • -Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.
                                                                          • -
                                                                          • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                                          • -
                                                                          • -Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. 
                                                                          • -
                                                                          • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. 
                                                                          • -
                                                                          • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  
                                                                          • +
                                                                          • Support the development of Machine Learning/Deep Learning (ML/DL) algorithms and pipelines across a variety of imaging modalities and disease areas
                                                                          • +
                                                                          • Support the deployment, management, and optimization of machine learning models in a production environment and ensure smooth integration and efficient operations.
                                                                          • +
                                                                          • Continually search for opportunities to automate workflows and streamline processes
                                                                          • +
                                                                          • Support users and provide guidance for cloud services like Sagemaker and Vertex.ai

                                                                          -

                                                                          About You:

                                                                          -

                                                                          You are a fit for the Lead Research Engineer role if your background includes:

                                                                          -

                                                                          -

                                                                          Essential skills & experience:

                                                                          +

                                                                          Who you are:

                                                                            -
                                                                          • A Bachelors Degree in Computer Science or Related Field.
                                                                          • -
                                                                          • At least 7 years software engineering experience.
                                                                          • -
                                                                          • At least 3 years working on a Machine Learning related product or solution.
                                                                          • -
                                                                          • Have exposure to building end-to-end ML projects, including deployments and metrics.
                                                                          • -
                                                                          • Have experience leading technical workstreams within a software engineering organization.
                                                                          • -
                                                                          • Are skilled and have a deep understanding of Python software development stacks and ecosystems.
                                                                          • -
                                                                          • Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
                                                                          • -
                                                                          • Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
                                                                          • -
                                                                          • Take pride in writing clean, reusable, maintainable and well-tested code.
                                                                          • -
                                                                          • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
                                                                          • -
                                                                          • Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
                                                                          • -
                                                                          • Have a desire to learn and embrace new and emerging technology.
                                                                          • -
                                                                          • Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
                                                                          • -
                                                                          • Have experience leading and/or mentoring teams.
                                                                          • -
                                                                          • Have experience providing guidance around roadblocks for team.
                                                                          • -
                                                                          • Have experience providing updates to internal stakeholders.
                                                                          • +
                                                                          • Bachelor’s degree in Computer Science, Biomedical Engineering, or a similar discipline; Master of Science preferred
                                                                          • +
                                                                          • 5 years plus experience with cloud-based data processing and data management processes and frameworks
                                                                          • +
                                                                          • Proficient in programming languages such as Python and a good grasp of CI/CD pipeline tools like Terraform, GitLab action.
                                                                          • +
                                                                          • Experience working with relational and non-relational databases, data warehousing, and data streaming frameworks such as RedShift, PostgreSQL, etc.
                                                                          • +
                                                                          • Experience with ML/DL and MLops, particularly developing ML data pipelines and deploying to production
                                                                          • +
                                                                          • Experience with Docker/Kubernetes, Airflow, Talend, TensorFlow and PyTorch
                                                                          • +
                                                                          • Experience with Cloud infrastructure such as AWS (especially SageMaker) and GCP (especially Vertex.ai)
                                                                          • +
                                                                          • Experience with medical image formats (e.g., DICOM, nifti) andmedical/clinical image data analysis techniques and understanding of clinical trials and with clinical imaging in multiple therapeutic areas such as Oncology, Ophthalmology, and Neurology
                                                                          +

                                                                          This role is not open for relocation support

                                                                          -

                                                                          Preferred skills & experience:

                                                                          -
                                                                            -
                                                                          • -Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
                                                                          • -
                                                                          • Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
                                                                          • -
                                                                          • Have been successfully taking and integrating Machine Learning solutions to production-grade software
                                                                          • -
                                                                          • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
                                                                          • -
                                                                          +

                                                                          Who we are

                                                                          +

                                                                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                          -

                                                                          #LI-JF1

                                                                          -
                                                                          +

                                                                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                          -

                                                                          What\'s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          -
                                                                            -
                                                                          • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                          • -
                                                                          • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                          • -
                                                                          • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                          • -
                                                                          • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                          • -
                                                                          • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                          • -
                                                                          • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          • -
                                                                          +

                                                                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                          +

                                                                          Roche is an Equal Opportunity Employer.

                                                                          +

                                                                          Explore LocationApply Now

                                                                          ",,https://careers.roche.com/global/en/job/202403-107341/Data-Engineer-MLOps,aitalent@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2024-04-04T19:38:00.000Z,False,0,9,88,https://talenthub.vectorinstitute.ai/jobs/314963183-data-engineer-mlops-at-roche,,expired,2024-03-28T15:53:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +a7e60368-5268-459c-88f6-13eedc0c467f,319870235,CIBC,"Analyst, Control Optimization & Analytics",on_site,"Ontario, Canada",2024-04-26T01:05:02.507Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          -

                                                                          -


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          -

                                                                          -

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          -

                                                                          -

                                                                          Accessibility

                                                                          -

                                                                          -

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          -

                                                                          -

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          -

                                                                          -

                                                                          -

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          -

                                                                          -

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          -
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ179087/Ld-Research-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-08-29T16:01:04.732Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/339491884-ld-research-engineer-at-thomson-reuters,,expired,2024-08-26T05:52:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -1f703345-7f9b-43e7-a35e-f322ff3e7a8c,338160101,BMO Financial Group,"Senior Analyst, Credit Risk Analytics",on_site,"Ontario, Canada",2024-08-15T07:38:19.886Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          08/26/2024

                                                                          -

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          Supports the research and development of stress testing and scenario analysis methodologies and related strategies in support of the management of risks arising from changes in the market and external environment for business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop models, methodologies and supplementary stress testing tools and infrastructures that assess the impact of a stress on risk capital and ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. defining tolerance for adverse outcomes, capital modelling, assess capital and liquidity, recovery actions, portfolio and risk management strategies and tactics.

                                                                          +

                                                                          What you\'ll be doing

                                                                          +

                                                                          +

                                                                          As a member of CIBC’s team, the Analyst, Control Optimization & Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The Analyst, Control Optimization & Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

                                                                          +

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                                                                          +

                                                                          +

                                                                          How you\'ll succeed

                                                                            -
                                                                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                          • -
                                                                          • Provides advice and guidance to assigned business/group on implementation of solutions.

                                                                          • -
                                                                          • Assists with the interpretation of new or changing regulations and assessing impacts to the governance frameworks.

                                                                          • -
                                                                          • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.

                                                                          • -
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.

                                                                          • -
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.

                                                                          • -
                                                                          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.

                                                                          • -
                                                                          • Manages databases and provides support for analysis, forecasting and/or data visualization, ensuring adherence with data governance standards.

                                                                          • -
                                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

                                                                          • -
                                                                          • Leads or participates in defining the communication plan designed to positively influence or change behaviour; develops tailored messaging; and identifies appropriate distribution channels.

                                                                          • -
                                                                          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the stress testing and scenario analysis program to various internal & external stakeholder audiences.

                                                                          • -
                                                                          • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcomes; models and frames business scenarios which impact critical business processes and/or decisions.

                                                                          • -
                                                                          • Administers and evaluates changes to stress scenarios and / or model parameters in response to changes in the market and the external environment.

                                                                          • -
                                                                          • Identifies where corrective actions are required and escalates per guidelines; ensures corrective action is taken as necessary.

                                                                          • -
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

                                                                          • -
                                                                          • Consults with stakeholders to improve consistency and transparency of risk measurement, metrics and reporting.

                                                                          • -
                                                                          • Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.

                                                                          • -
                                                                          • Supports the management of governance meetings (e.g. committee, management, board meetings, etc.) as required; facilitates development and approval of agendas, gathering and distribution of documentation related to agendas, and creation of meeting minutes/output.

                                                                          • -
                                                                          • Builds effective relationships with internal/external stakeholders.

                                                                          • -
                                                                          • Ensures alignment between stakeholders.

                                                                          • -
                                                                          • Analyzes data and information to provide insights and recommendations

                                                                          • -
                                                                          • Monitors and tracks performance; addresses any issues.

                                                                          • -
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.

                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                          • -
                                                                          • Works independently on a range of complex tasks, which may include unique situations.

                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                          • +
                                                                          • Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.

                                                                          • +
                                                                          • Strategic Thinking Approach – Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.

                                                                          • +
                                                                          • Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.

                                                                          • +
                                                                          • Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.

                                                                          • +
                                                                          • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.

                                                                          -

                                                                          Qualifications:

                                                                          +

                                                                          +

                                                                          Who you are

                                                                            -
                                                                          • Typically between 2-4 years of relevant experience and post-secondary degree in related field of study (or a STEM field) or an equivalent combination of education and experience.

                                                                          • -
                                                                          • Knowledge and understanding of stress testing and scenario analysis methodologies and frameworks is a bonus.

                                                                          • -
                                                                          • Proficiency in statistical/numerical software.

                                                                          • -
                                                                          • Strong programming skills and experience in multiple programming languages (Python and/or pyspark knowledge is an asset).

                                                                          • -
                                                                          • Experience in quantitative risk modeling, calculation of Regulatory and Economic Capital is a bonus.

                                                                          • -
                                                                          • Technical proficiency gained through education and/or business experience.

                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.

                                                                          • -
                                                                          • Collaboration & team skills - In-depth.

                                                                          • -
                                                                          • Analytical and problem-solving skills - In-depth.

                                                                          • -
                                                                          • Influence skills - In-depth.

                                                                          • -
                                                                          • Data driven decision making - In-depth.

                                                                          • +
                                                                          • You can demonstrate experience with: programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).

                                                                          • +
                                                                          • You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).

                                                                          • +
                                                                          • You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.

                                                                          • +
                                                                          • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.

                                                                          • +
                                                                          • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.

                                                                          • +
                                                                          • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                                                                          • +
                                                                          • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business

                                                                          • +
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                          -

                                                                          -

                                                                          Salary:

                                                                          -
                                                                          $54,500.00 - $101,500.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          What CIBC Offers

                                                                          -

                                                                          We’re here to help

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                          +
                                                                            +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          *Subject to program terms and conditions

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          What you need to know

                                                                          +
                                                                            +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • +

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Credit-Risk-Analytics_R240021253?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-29T17:47:03.039Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/338160101-senior-analyst-credit-risk-analytics-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -98796877-4823-4c15-b7bd-ae3ae157e08f,339078037,TD Bank Group,Senior Machine Learning Scientist (Layer 6),hybrid,"Toronto, ON, Canada",2024-08-22T19:25:47.772Z,"

                                                                          Work Location:

                                                                          -

                                                                          Canada

                                                                          -

                                                                          -

                                                                          Hours:

                                                                          -

                                                                          37.5

                                                                          -

                                                                          -

                                                                          Line of Business:

                                                                          -

                                                                          Data & Analytics

                                                                          -

                                                                          -

                                                                          Pay Details:

                                                                          -

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          -


                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                          -

                                                                          -

                                                                          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 - Visual Relationship (winner in 2019).

                                                                          +

                                                                          Expected End Date

                                                                          2024-08-30

                                                                          +

                                                                          Job Location

                                                                          Toronto-81 Bay, 24th Floor

                                                                          +

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          +

                                                                          Weekly Hours

                                                                          37.5

                                                                          +

                                                                          Skills

                                                                          Accountability, Data Analytics, Management Reporting
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Control-Optimization---Analytics_2409643?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-05-02T19:13:00.000Z,False,0,6,12,https://talenthub.vectorinstitute.ai/jobs/319870235-analyst-control-optimization-analytics-at-cibc,,expired,2024-04-26T01:05:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d2cc3aa3-47b4-44a7-a8ca-20f7dea6941a,320134167,OMERS,Senior Data Governance Specialist,on_site,"Ontario, Canada",2024-04-28T01:36:02.000Z,"
                                                                          +

                                                                          Why join us?

                                                                          +

                                                                          +

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          +

                                                                          The Data Governance Specialist works as part of the Enterprise Data Governance Team to support the implementation of new data governance tools and related processes, with a focus on enterprise data cataloging, metadata management, business workflows and data quality management.

                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          As a machine learning scientist, you will:

                                                                          -
                                                                            -
                                                                          • Design and implement cutting-edge machine learning models to solve business problems with large scale impact.
                                                                          • -
                                                                          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                                          • -
                                                                          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                                          • -
                                                                          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                                          • -
                                                                          • Collaborate closely with business partners, product and engineering teams in a fast-paced environment and see your solutions deployed to production.
                                                                          • -
                                                                          • Stay up-to-date with the latest advances in machine learning and apply them to solve real-world problems.
                                                                          • -
                                                                          +

                                                                          This role will work closely with the Business teams and other Data & Technology partners to ensure data governance standards, policies and best practices are understood and applied consistently across the organization. The ideal candidate for this role will have a deep understanding of data governance principles, financial regulations, and the technical skills necessary to excel in this position. This position offers an opportunity to influence and shape the OMERS data governance practices to drive business success and ensure data integrity.

                                                                          -

                                                                          Job Requirements:

                                                                          -

                                                                          Required Qualifications

                                                                          -
                                                                            -
                                                                          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                                          • -
                                                                          • Strong background in machine learning
                                                                          • -
                                                                          • 5+ years of research experience with publication record
                                                                          • -
                                                                          • Proven track record of applying machine learning to solve real-world problems
                                                                          • -
                                                                          • Highly accountable and have a strong sense of ownership
                                                                          • -
                                                                          -

                                                                          Preferred Qualifications

                                                                          +

                                                                          Responsibilities:

                                                                            -
                                                                          • Experience with deep learning and/or collaborative filtering
                                                                          • -
                                                                          • Hands on experience in software systems development and SaaS applications
                                                                          • -
                                                                          • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                                          • -
                                                                          • Experience using GPUs for accelerated deep learning training
                                                                          • -
                                                                          • Familiarity with AWS
                                                                          • +
                                                                          • Understand OMERS business functions, activities, and transactions, as well as standard information and data governance best practices to contribute practical solutions for both structured and unstructured data in the development and implementation of the Data Governance Program
                                                                          • +
                                                                          • Design, develop and monitor technology solutions around key data governance focus areas of data catalog, metadata management, data quality management, data lineage business workflows and access management
                                                                          • +
                                                                          • Partner with Enterprise Data Governance Managers and Data Stewards to define and instrument metadata capture and storage for the CDE’s, evolve our enterprise business glossary, and facilitate the linkage between business definitions and the underlying technical metadata
                                                                          • +
                                                                          • Maintain and manage the processes around metadata repositories (data dictionary, business glossary) including data definitions, data dictionaries, data classification (identification of sensitive data) and data cataloging, to provide context and understanding of data assets.
                                                                          • +
                                                                          • Perform data profiling, data quality analysis and the development of data quality rules to support monitoring and remediation activities
                                                                          • +
                                                                          • Refine and implement the enterprise metadata management framework, inclusive of business, operational and technical metadata
                                                                          • +
                                                                          • Provide ongoing access, maintenance, usage, and technical support for our Data Governance Tool inventory including Collibra, Azure Purview
                                                                          • +
                                                                          • Contribute to the development of reporting requirements to monitor data compliance as well as KPIs and metrics to gauge the health and maturity of data governance program
                                                                          • +
                                                                          • Collaborate with business and D&T partners to find opportunities to improve data accuracy and ensure that data owners are accountable for remediation
                                                                          • +
                                                                          • Contribute to the development of appropriate materials, conducting training sessions and be the change advocates to drive data governance best practices
                                                                          • +
                                                                          • Provide inputs on the design and development of data models for data warehousing and cataloging projects
                                                                          • +
                                                                          • Work closely with Data & Technology team during the development of new information and data governance related applications, including requirements validation and testing
                                                                          • +
                                                                          • Primary point of contact for business partners to resolve data security & access issues
                                                                          • +
                                                                          • Educate employees and stakeholders on data governance practices and their importance in maintaining data quality and compliance

                                                                          -

                                                                          Who We Are:

                                                                          -

                                                                          TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                          -

                                                                          -

                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                          -

                                                                          -

                                                                          Additional Information:
                                                                          We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                          Colleague Development
                                                                          If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                          -

                                                                          Training & Onboarding
                                                                          We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                          -

                                                                          -

                                                                          Interview Process
                                                                          We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                          -


                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          -

                                                                          -

                                                                          Language Requirement:

                                                                          -

                                                                          N/A.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Senior-Machine-Learning-Scientist--Layer-6-_R_1355180?jobFamilyGroup=de76965296350195765906b50704e3ab&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-29T19:53:00.000Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/339078037-senior-machine-learning-scientist-layer-6-at-td-bank-group,,expired,2024-08-22T19:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -dd6d5bc3-47fa-4e80-867d-08591ae8b2eb,328643871,Thomson Reuters,"Senior Director, AI Enablement",on_site,"Toronto, ON, Canada",2024-06-13T15:27:22.460Z,"

                                                                          Senior Director, AI Enablement

                                                                          We are seeking a highly skilled and experience Senior Director of AI Enablement, within the Responsible AI team under Data and Analytics, you will champion the development of a culture that values responsible AI across the enterprise.

                                                                          -

                                                                          The responsible AI team is a centralized function to support all business functions across the enterprise in ensuring governance and ethics within their data and AI assets.

                                                                          -

                                                                          The Senior Director, AI Enablement, you will provide oversight of AI risk management processes and collaborate closely with cross-functional teams to embed governance considerations into the AI lifecycle.

                                                                          -

                                                                          Your leadership will ensure that AI models are monitored for responsible considerations and that our business functions are equipped for responsible AI development and deployment practices

                                                                          About the Role
                                                                          In this opportunity as Senior Director, AI Enablement, you will:

                                                                          -
                                                                            -
                                                                          • Implement responsible AI practices, guidelines, and principles into program initiatives
                                                                          • -
                                                                          • Foster a culture that prioritizes responsible AI and governance
                                                                          • -
                                                                          • Monitor AI models and applications for responsible considerations
                                                                          • -
                                                                          • Lead a high-performing team of responsible AI partners and experts
                                                                          • -
                                                                          • Automate AI risk management processes and develop mitigation plans
                                                                          • -
                                                                          • Serve as a liaison between business functions for responsible AI practices
                                                                          • -
                                                                          • Design and implement data and AI integrations to support program objectives
                                                                          • -
                                                                          -


                                                                          About You
                                                                          You're a fit for the role of Senior Director, AI Enablement if your background includes:

                                                                          +

                                                                          Qualifications:

                                                                            -
                                                                          • Master’s degree in Data Science, Computer Science, AI, or a related field
                                                                          • -
                                                                          • Extensive experience in AI strategy, development, and governance
                                                                          • -
                                                                          • Proven track record of leading AI initiatives and fostering a responsible AI culture
                                                                          • -
                                                                          • Strong understanding of AI risk management and mitigation strategies
                                                                          • -
                                                                          • Excellent leadership and communication skills
                                                                          • -
                                                                          • Experience with common cloud and reporting tooling
                                                                          • -
                                                                          • Ability to influence stakeholders for enterprise adoption and change management
                                                                          • +
                                                                          • Bachelor’s degree in engineering, math or a field related to information, data management, analytics or financial services.
                                                                          • +
                                                                          • 5+ years of technical experience in implementing data governance, data analytics or data quality tools
                                                                          • +
                                                                          • Hands on experience with tools such as Collibra, Informatica IICS, Microsoft Purview or similar ias a must for this role
                                                                          • +
                                                                          • +Knowledge and expertise in data governance technology, business process modeling, metadata, data lineage, data classification, data quality and enterprise implementation of data governance tools and solutions +
                                                                          • +
                                                                          • Experience in defining and building enterprise data management policies, processes, solutions, and associated documentation to strengthen data management
                                                                          • +
                                                                          • Experience with SQL, database applications MS SQL/ Oracle, and visualization tools such as Power BI and Tableau
                                                                          • +
                                                                          • Understanding of Cloud, Big Data technologies, architectural concepts - data lake, data warehouse, relational databases, data ingestion, ETL etc.
                                                                          • +
                                                                          • Knowledge and understanding of data regulations, privacy, ethical use, data sharing, critical data indicators, access management and data masking techniques
                                                                          • +
                                                                          • Excellent verbal and written communication to effectively articulate and communicate with both business and technical development teams
                                                                          • +
                                                                          • Experience in project management and the ability to lead data governance initiatives.
                                                                          • +
                                                                          • A team player with a good understanding of the Agile methodology and Change management
                                                                          -


                                                                          What's in it For You?
                                                                          Join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          - Hybrid Work Model
                                                                          - Wellbeing benefits
                                                                          - Globally recognized culture of equality, diversity, and inclusion
                                                                          - Learning & Development opportunities
                                                                          - Social Impact initiatives
                                                                          - Purpose Driven Work

                                                                          -

                                                                          #LI-LP2

                                                                          -

                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          -

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          -

                                                                          -

                                                                          Accessibility

                                                                          -

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          -

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          -

                                                                          -

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          -

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ178623/Senior-Director-AI-Enablement,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-07-13T15:27:24.308Z,False,0,4,34,https://talenthub.vectorinstitute.ai/jobs/328643871-senior-director-ai-enablement-at-thomson-reuters,,expired,2024-06-13T15:27:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Masters Degree,New Posting, -dcb6211f-43e8-4977-af09-147e4aea9dfd,332511123,BMO Financial Group,"Director, Card Fraud Strategy and Analytics",on_site,"Ontario, Canada",2024-07-04T07:21:01.368Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          07/30/2024

                                                                          +

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 3 days per week.

                                                                          +

                                                                          +

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          +

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Data-Governance-Specialist_JR-5952?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-05-03T01:41:03.502Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/320134167-senior-data-governance-specialist-at-omers,,expired,2024-04-28T01:36:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +94b749d3-e86b-49cd-9654-13cac5665cfa,316217246,BMO Financial Group,"Senior Specialist, Climate Risk Analytics",on_site,"Ontario, Canada",2024-04-04T06:25:01.630Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          06/13/2024

                                                                          Address:

                                                                          100 King Street West

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          The Financial Crimes Unit (FCU) brings together our Cybersecurity, Fraud, Physical Security and Resilience Planning capabilities to address the ever-growing and increasingly complex global security environment. It is a highly collaborative effort that greatly enhances BMO’s ability to rapidly prevent, detect, respond to, and recover from all security & crisis threats. This position offers a unique experience to learn from experienced leaders in the industry, join a team building the 21st century model for security and helping grow the good by protecting our customers and communities.

                                                                          -
                                                                          • Hybrid role
                                                                          -

                                                                          +

                                                                          The Senior Specialist, Climate Risk Analytics with have accountability for:

                                                                          +
                                                                            +
                                                                          • Intersection of climate risk with capital assessment and stress testing
                                                                          • +
                                                                          • Technology infrastructure requirements and testing
                                                                          • +
                                                                          • Data gathering and linkages to use in climate risk assessment
                                                                          • +
                                                                          • Support climate scenario analysis exercises
                                                                          • +

                                                                          -

                                                                          BMO seeks a qualified and motivated Director, Card Fraud Strategy and Analytics. The Card Fraud Strategy and Analytics Director is responsible for developing and managing the credit card and debit card fraud strategies and analytics for the Canadian and US portfolios. The Director manages a team of card data scientists and fraud analysts that use various quantitative disciplines to develop, implement, and measure the ongoing effectiveness of card prevention strategies and fraud containment models to achieve the optimal balance of limiting fraud risks and maximizing business growth, alert efficiency and profitability. This team implements auto-decisioning rules, alert management best practices and fraud intervention policies, balances results with customer experience targets, applies data mining and statistical modeling techniques to isolate new emerging fraud risk to minimize the Banks exposure to serious financial loss and potentially irreparable damage in the market with investors and regulators.

                                                                          -

                                                                          -

                                                                          The Director partners with Global Card Fraud, Card Operations, Banking Fraud Analytics, Technology, Financial Crimes teams, Card Third Party Service Providers, and other key stakeholders. The candidate must demonstrate the ability to balance strategic thinking, robust analytical and data-mining capabilities, along with strong operational execution. The candidate needs to be a strong and influential leader with a keen focus on employee development and a proven ability for building and leading large talented teams located across various geographic locations. The individual needs to display excellent communication skills, an ability to influence leaders and peers, and exhibit energy, curiosity, and ability to frame intelligent questions to uncover issues and spearhead the formulation of approach and methodology.

                                                                          +

                                                                          Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

                                                                            -
                                                                          • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                          • -
                                                                          • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                          • -
                                                                          • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                          • -
                                                                          • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                          • -
                                                                          • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                          • -
                                                                          • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                          • -
                                                                          • Operates at a group/enterprise-wide level and serves as a senior specialist resource across BMO.
                                                                          • -
                                                                          • Influences how teams/groups work together.
                                                                          • -
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to multiple, interdependent, complex problems.
                                                                          • -
                                                                          • Communicates abstract concepts in simple terms.
                                                                          • -
                                                                          • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
                                                                          • -
                                                                          • Anticipates trends and responds by implementing appropriate changes.
                                                                          • +
                                                                          • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
                                                                          • +
                                                                          • Monitors risk in strategies and portfolios alongside project managers or functional leads.
                                                                          • +
                                                                          • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
                                                                          • +
                                                                          • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
                                                                          • +
                                                                          • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • +
                                                                          • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
                                                                          • +
                                                                          • Conducts quantitative research in risks across strategies and portfolios.
                                                                          • +
                                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                          • +
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                          • +
                                                                          • Implements changes in response to shifting trends.
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                          Qualifications:

                                                                          -

                                                                          Expert level of proficiency:

                                                                          +

                                                                          Intermediate level of proficiency:

                                                                            -
                                                                          • Mathematics, statistics & operations research.
                                                                          • -
                                                                          • Deep learning.
                                                                          • +
                                                                          • Regulatory capital and stress testing.
                                                                          • +
                                                                          • Compliance and regulation.
                                                                          • Machine learning.
                                                                          • -
                                                                          • Trust, bias and ethics.
                                                                          • -
                                                                          • Creative thinking.
                                                                          • -
                                                                          • Critical thinking.
                                                                          • -
                                                                          • Big data.
                                                                          • +
                                                                          • Learning Agility.
                                                                          • +
                                                                          • Systems Thinking.
                                                                          • +
                                                                          +

                                                                          Advanced level of proficiency:

                                                                          +
                                                                            +
                                                                          • Model risk management.
                                                                          • Data visualization.
                                                                          • -
                                                                          • Computational thinking and programming.
                                                                          • Data wrangling.
                                                                          • Data preprocessing.
                                                                          • -
                                                                          • Creative reasoning.
                                                                          • +
                                                                          • Critical thinking.
                                                                          • +
                                                                          • Driving Results.
                                                                          • +
                                                                          • Quantitative financial modeling.
                                                                          • +
                                                                          • Computational thinking and programming.
                                                                          • Verbal & written communication skills.
                                                                          • Analytical and problem solving skills.
                                                                          • -
                                                                          • Influence skills.
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration.
                                                                          • Able to manage ambiguity.
                                                                          • Data driven decision making.
                                                                          • -
                                                                          • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Seasoned expert with extensive industry knowledge.
                                                                          • -
                                                                          • Technical leader viewed as a thought leader for innovation.
                                                                          • -
                                                                          • Experience working with Card Fraud and Rule Based platforms.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Requirements:

                                                                          -
                                                                            -
                                                                          • Bachelor’s Degree or Advanced Degree (preferred)
                                                                          • -
                                                                          • 8+ years experience in analytics leadership roles with exposure to credit and debit cards and/or fraud experience
                                                                          • -
                                                                          • Deep knowledge and expertise of using analytical tools and techniques to drive business and fraud prevention outcomes
                                                                          • -
                                                                          • Knowledge of consumer-lending best practices, including the use of advanced statistical techniques and data sources
                                                                          • -
                                                                          • Experience in card strategies across financial products and services
                                                                          • -
                                                                          • Strong communication, interpersonal and negotiation skills to achieve business objectives
                                                                          • -
                                                                          • Ability to work in fast-paced ever-changing environment and the ability to juggle an array of tasks and individuals on tight timelines
                                                                          • -
                                                                          • Innovative and capable of developing a highly analytical approach to solving problems
                                                                          • -
                                                                          • Experienced leader managing a solid data scientist and analytical team
                                                                          • +
                                                                          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                          • +
                                                                          • Data driven decision making - In-depth / Expert.

                                                                          -

                                                                          Salary:

                                                                          -
                                                                          $124 200,00 - $231 000,00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          Compensation and Benefits:

                                                                          +
                                                                          $100,800.00 - $187,200.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          We’re here to help

                                                                          @@ -69511,55 +70095,309 @@ dcb6211f-43e8-4977-af09-147e4aea9dfd,332511123,BMO Financial Group,"Director, Ca

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Director--Card-Fraud-Strategy-and-Analytics_R240017394?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-18T07:34:01.705Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/332511123-director-card-fraud-strategy-and-analytics-at-bmo-financial-group,,expired,2024-07-04T07:21:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -d746651b-e11e-498e-86ac-7bb2d50a7943,334048315,Scotiabank,"Manager, Enterprise Stress Testing (14 Month Contract)",on_site,Canada : Ontario : Toronto,2024-07-15T16:28:02.143Z,"

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Specialist--Climate-Risk-Analytics_R240008584?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-05-04T17:21:15.764Z,False,0,2,81,https://talenthub.vectorinstitute.ai/jobs/316217246-senior-specialist-climate-risk-analytics-at-bmo-financial-group,,expired,2024-04-04T06:25:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +3115b887-c9ad-496e-9020-651d6e76ee9f,319369152,Scotiabank,"Manager, Creditor Customer & Campaign Analytics",on_site,Canada : Ontario : Toronto,2024-04-22T16:28:01.902Z,"

                                                                          -

                                                                          Requisition ID: 201710

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          Requisition ID: 197843

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          Enterprise Stress Testing’s (“EST”) mandate is to create and run the Bank’s stress testing program. We need a strong individual to help with credit risk stress testing the Bank’s portfolio. You will get the opportunities to apply your technical skillset and analytical mindset in building credit risk models and providing stress testing insights across geographies and products. This role has the potential for direct impact on business strategy with stress testing as a decision-making tool by senior management in Global Risk Management as well as Finance executives and the Board.

                                                                          +

                                                                          Contributes to the overall success of the Insurance business in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                                                          -

                                                                          Is this role right for you? In this role you, will:

                                                                          +

                                                                          This position has primary accountability for needs analysis, design, implementation and ongoing management and usage of the customer and marketing data infrastructure for Creditor insurance products. In addition, participation in development of predictive modelling, data-mining, and advanced statistical marketing analytics for customer needs-analysis, behaviors and engagement.

                                                                          -
                                                                          • Develop and implement the credit risk models using technology platforms, primarily utilizing Python, R and SQL. It involves models that forecast credit rating migration probabilities as well as models that project point-in-time values for Probability of Default and Loss Given Default as a function of macroeconomic variables

                                                                          • Optimize code repositories to ensure they can be effectively executed in the operational/production environment to produce stress testing Expected Credit Loss (ECL) and Risk-Weighted Assets (RWA) results in a timely manner

                                                                          • Build Power BI dashboard and other visualization tools to assist analysis across multiple macroeconomic scenarios and provide a wholistic/separated view of the credit portfolio’s performance during stress

                                                                          • Collaborate with internal model development teams, including the Retail, Models & Analytics (RMA) team, and the IFRS9 modelling team to ensure stress testing models are compatible and up to date with the production environment

                                                                          • Perform supplementary analysis and construct overlay methodologies to consider emerging risk themes, such as climate risk, geopolitical tensions, and high consumer indebtedness

                                                                          • Ensure compliance with applicable regulations and provide necessary information and ad-hoc analysis to regulators as required

                                                                          • -
                                                                          -

                                                                          Do you have the expertise that will enable you to succeed in this role? - We'd like to work with you if you have:

                                                                          +

                                                                          The incumbent is responsible for execution of customer database analytics to enable highly targeted delivery of multiple product offers across numerous integrated delivery channels. The position supports the design of new products, offers, and customer segments by synthesizing and analyzing customer data and results from database marketing campaigns. This position also designs, implements and maintains operational reporting for regulatory agencies, and implements and analyses operational and customer level reports for new sales and service opportunities.

                                                                          -
                                                                          • Advanced degree in Economics, Finance, Statistics, Mathematics, Data Science, or other related quantitative discipline

                                                                          • Advanced quantitative modeling expertise (e.g., advanced statistical models, machine learning, econometric models)

                                                                          • Experience in working with large dataset and optimization of code speed

                                                                          • Experience with R or Python is required. Experience with Spark is an asset

                                                                          • Experience in credit risk modeling related to probability of default and loss given default. Stress testing experience is desirable

                                                                          • Strong communication expertise

                                                                          • General knowledge of a bank’s financial statement with a good understanding of credit products and provisions for credit losses (PCL)

                                                                          • Working knowledge of RWA and capital requirement under Basel III regulations is an asset

                                                                          • Experience with leading or working in transformational projects

                                                                          • Experience with presenting analytical findings and business insights

                                                                          • Working knowledge of basic Linux or UNIX systems is an asset. Experience with version control software (e.g. Git) is an asset.

                                                                          • +

                                                                            Is this role right for you? In this role, you will:

                                                                            +
                                                                            • Support the Senior Manager in the execution of all Insurance projects covering customer insights generation, campaign management and customer level reporting. The Manager will be involved in different stages of projects from tracking, test design, list creation and delivery through multiple channels (email, digital, telemarketing), offer fulfilment, and campaign performance reporting to stakeholders and senior executives.
                                                                            • Lead development of recurring customer level reporting support key areas of the business
                                                                            • Develop a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers and manage channel preference and risk.
                                                                            • Interpret Creditor Insurance marketing and customer data to identify new opportunities on how to best target and appeal to customers.
                                                                            • Define, develop, and execute targeted campaigns to accelerate sales, reduce attrition and grow revenue.
                                                                            • Provide data discovery and deliver key actionable insights based on customer view of results.
                                                                            • Provide relevant high-quality lead extraction for campaign targeting (contact optimization) of marketing programs, particularly the use of control groups and related post-analysis.
                                                                            • Deliver timely, high quality customer campaigns/ initiatives (including lists requests, test design, campaign management, post campaign analyses and insights)
                                                                            • Develop Creditor Insurance customer analytics, reporting and dashboards with single view of customer to provide timely and accurate customer insights to key internal stakeholders. Audit and troubleshoot data problems, if needed
                                                                            • Synthesize data to identify trends and deliver key insights and business recommendations partnering with key internal stakeholders, including marketing, merchandizing and operations teams, to develop promotions and campaigns that drive sales to targeted customers
                                                                            • Support key information technology initiatives, such as enhancements in single view of customer, customer data warehouse, CRM and campaign management tools
                                                                            • Leverage SAS/Python and other tools to produce data sets, analyses, tabulations, graphics
                                                                            • Apply advanced analytical and statistical techniques to solve marketing questions
                                                                            • Assist in ad-hoc requests as required from the business

                                                                            -

                                                                            What’s in it for you?

                                                                            -
                                                                            • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.

                                                                            • A rewarding career path with diverse opportunities for professional development. This position will have exposure to multiple aspects of the bank’s financial profile, such as balance sheet growth, provisions for credit losses and capital adequacy assessment.

                                                                            • Becoming a subject matter expert and storyteller for our Canadian retail portfolio, in terms of how the stress testing process works and what drives the portfolio’s losses

                                                                            • A competitive compensation and benefits package.

                                                                            • An organization acted to making a difference in our communities– for you and our customers.

                                                                            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                                            • +

                                                                              Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                              +
                                                                              • Degree in Mathematics, Computer Science, Statistics, Finance or Economics; Advanced Degree in Analytics/Business preferred
                                                                              • 4+ years experience in Analytics or MIS/Reporting, programming with SAS/SQL/Python/Spark as well as Power BI/Tableau
                                                                              • Strong knowledge and proficiency with building models and data infrastructures - data mining, data profiling, modeling, cleansing, enriching as well as extract, transform, load (ETL) solutions and scripting
                                                                              • Strong communication skills essential with clients, vendors and management
                                                                              • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                                                              • Certification in Python/SAS/SQL and PowerBI
                                                                              • Previous business line and banking experience
                                                                              • Expertise with dashboards, KPI, business metrics generation

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Stress-Testing-%2814-Month-Contract%29-ON-M5H1H1/582126417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-18T16:33:05.568Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/334048315-manager-enterprise-stress-testing-14-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Stress-Testing-%2814-Month-Contract%29-ON-M5H1H1/582126417/,expired,2024-07-15T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -0467cd70-4a09-449f-84d6-4da278601344,329965791,Scotiabank,"Manager, Data & AI Risk (12 Month Contract)",on_site,Canada : Ontario : Toronto,2024-06-20T16:28:03.069Z,"

                                                                          -

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Creditor-Customer-&-Campaign-Analytics-ON-M5C2W1/580254817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-05-09T16:33:04.223Z,False,0,6,43,https://talenthub.vectorinstitute.ai/jobs/319369152-manager-creditor-customer-campaign-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Creditor-Customer-&-Campaign-Analytics-ON-M5C2W1/580254817/,expired,2024-04-22T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +2cec402b-92de-4770-9265-f0bc39b09766,316690917,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2024-04-07T06:45:01.773Z,"
                                                                          +

                                                                          Why join us?

                                                                          +

                                                                          +

                                                                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                                                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                                                          +

                                                                          We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                          +

                                                                          +

                                                                          Scope of Position: Support investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                          +

                                                                          +

                                                                          Responsibilities:

                                                                          +
                                                                            +
                                                                          • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                          • +
                                                                          • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                          • +
                                                                          • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                          • +
                                                                          • Automate manual processes and optimize data delivery
                                                                          • +
                                                                          • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                          • +
                                                                          • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                          • +
                                                                          • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                          • +
                                                                          • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                          • +
                                                                          • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Qualifications:

                                                                          +
                                                                            +
                                                                          • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                          • +
                                                                          • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                          • +
                                                                          • +Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar
                                                                          • +
                                                                          • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                          • +
                                                                          • Deep proficiency in SQL, Python, and similar languages
                                                                          • +
                                                                          • Good understanding of investment products
                                                                          • +
                                                                          • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                          • +
                                                                          • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                          • +
                                                                          • Investment data modeling experience using the Kimball method is an asset
                                                                          • +
                                                                          • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                          • +
                                                                          • Data governance experience is an asset
                                                                          • +
                                                                          • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                          • +
                                                                          +

                                                                          +

                                                                          And you demonstrate:

                                                                          +
                                                                            +
                                                                          • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                          • +
                                                                          • A teammate mentality coupled with servant leadership
                                                                          • +
                                                                          • A sense of urgency, optimism, and a desire to deliver excellence
                                                                          • +
                                                                          • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                          • +
                                                                          • Strong orientation towards strategy, change, and results
                                                                          • +
                                                                          • A continuous improvement mindset
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $128.6 CAD billion in net assets as of December 31, 2023. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                                                          +

                                                                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data_JR-5697-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-05-09T16:05:24.422Z,False,0,11,151,https://talenthub.vectorinstitute.ai/jobs/316690917-data-engineer-finance-data-at-omers,,expired,2024-04-07T06:45:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +507d069d-6760-4d01-9e55-ba4708e1f299,326118271,Borealis AI,Senior Research Engineer - Capital Markets,on_site,"Ontario, Canada",2024-05-30T01:29:01.642Z,"
                                                                          +

                                                                          What’s the opportunity?

                                                                          +

                                                                          Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

                                                                          +

                                                                          Your responsibilities include:

                                                                          +
                                                                            +
                                                                          • Providing technical leadership throughout the research and product development lifecycle to deliver cutting edge AI solutions;
                                                                          • +
                                                                          • Partnering with Borealis AI’s business, product, research, and engineering teams to ensure the seamless delivery of these products;
                                                                          • +
                                                                          • Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
                                                                          • +
                                                                          • Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI’s products;
                                                                          • +
                                                                          • Supporting projects with thorough documentation, design decisions, and technical advisory.
                                                                          • +
                                                                          +

                                                                          You’re our ideal candidate if you have:

                                                                          +
                                                                            +
                                                                          • Ability to independently drive the ML research process, including engineering novel relevant features, integrating mixed data sources, applying off-the-shelf ML models when appropriate, and inventing/developing new ML models when necessary;
                                                                          • +
                                                                          • Ability to approximate real-world business concepts with mathematical models and leverage those models to drive ML design process;
                                                                          • +
                                                                          • Ability to manage large numbers of ML experiments across shared resources;
                                                                          • +
                                                                          • Proficient in Python, data science tooling, and deep learning frameworks;
                                                                          • +
                                                                          • Firm grasp of the ML modelling process, including underfitting/overfitting, regularization, and different loss functions and model selection metrics and their tradeoffs;
                                                                          • +
                                                                          • Ability to collaborate with colleagues spanning a mix of business, product, engineering, and research teams through both written and oral communications.
                                                                          • +
                                                                          +

                                                                          Any of these additional skills would also be helpful in this role:

                                                                          +
                                                                            +
                                                                          • Familiarity with a wide variety of (deep and classical) ML methods, including an understanding of different models’ pros and cons;
                                                                          • +
                                                                          • Familiarity with feature importance methods;
                                                                          • +
                                                                          • Experience with automated ML methods;
                                                                          • +
                                                                          • Experience monitoring and maintaining a production ML system operating continuously in real time;
                                                                          • +
                                                                          • Experience working with time series data, especially highly stochastic and/or non-stationary processes;
                                                                          • +
                                                                          • Experience with signal processing and/or understanding of information theory;
                                                                          • +
                                                                          • Experience with statistical hypothesis testing, scientific experimental techniques, A/B testing, or similar;
                                                                          • +
                                                                          • Experience with algorithmic trading, KDB/q, price prediction/alpha generation, or financial machine learning.
                                                                          • +
                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                            +
                                                                          • Be part of a dynamic & flexible working environment;
                                                                          • +
                                                                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                                                          • +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock options where applicable;
                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities;
                                                                          • +
                                                                          • Ability to make a difference and lasting impact from a local-to-global scale.
                                                                          • +
                                                                          +

                                                                          About Borealis AI

                                                                          +
                                                                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre
                                                                          +
                                                                          dedicated to achieving state-of-the-art in machine learning. Established in 2016,
                                                                          +
                                                                          and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic
                                                                          +
                                                                          collaborations and partner with world-class research centres in artificial intelligence.
                                                                          +
                                                                          With a focus on ethical AI that will help communities thrive, our machine learning
                                                                          +
                                                                          scientists perform fundamental and applied research in areas such as reinforcement
                                                                          +
                                                                          learning, natural language processing, deep learning, and unsupervised learning to
                                                                          +
                                                                          solve ground-breaking problems in diverse fields.
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

                                                                          +

                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -

                                                                          Requisition ID: 201697

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +
                                                                          ",,https://www.borealisai.com/careers/?gh_jid=7302672002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2024-06-29T18:34:41.502Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/326118271-senior-research-engineer-capital-markets-at-borealis-ai,,expired,2024-05-30T01:29:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +86f44f7d-34ae-4384-8d60-f776fa5ad342,327488012,Google,"Senior Technical Sales Specialist, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2024-06-07T01:14:01.565Z,"
                                                                          +
                                                                          +

                                                                          Minimum qualifications:
                                                                          +

                                                                          +
                                                                          +
                                                                          +
                                                                            +
                                                                          • Bachelor\'s degree in Computer Science or equivalent practical experience.
                                                                            +
                                                                          • +
                                                                          • 7 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                                                            +
                                                                          • +
                                                                          • Experience delivering technical presentations and live demonstrations in an enterprise business environment.
                                                                            +
                                                                          • +
                                                                          • Experience with traditional Big Data technologies, Analytic Warehousing technologies, data processing technologies, performance and scalability optimizations.
                                                                            +
                                                                          • +
                                                                          +

                                                                          Preferred qualifications:

                                                                          +
                                                                            +
                                                                          • Experience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.
                                                                            +
                                                                          • +
                                                                          • Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
                                                                            +
                                                                          • +
                                                                          • Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
                                                                            +
                                                                          • +
                                                                          • Knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, competitive dynamics, and customer buying behavior.
                                                                            +
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          About the job

                                                                          +

                                                                          The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                                                          +

                                                                          Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                          +
                                                                          +
                                                                          +

                                                                          Responsibilities

                                                                          +
                                                                            +
                                                                          • Support local Sales teams in pursuit of key business opportunities and engaging customers to address aspects of the data lifecycle.
                                                                          • +
                                                                          • Identify business and technical requirements, conduct full technical discovery, and design client solutions to meet gathered requirements.
                                                                          • +
                                                                          • Lead technical projects, including activities such as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
                                                                          • +
                                                                          • Prepare and deliver product messaging to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and Request for Information (RFI) response documents.
                                                                            +
                                                                          • +
                                                                          • Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required for meetings, technical reviews, and onsite delivery activities.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                          +

                                                                          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                          +

                                                                          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                          +

                                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                          +

                                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                          +
                                                                          +
                                                                          ",,https://www.google.com/about/careers/applications/jobs/results/102033369901998790-senior-technical-sales-specialist-data-analytics-google-cloud?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-06-27T11:24:03.349Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/327488012-senior-technical-sales-specialist-data-analytics-google-cloud-at-google,,expired,2024-06-07T01:14:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +099a6313-eedd-4c8e-a7a6-60b049d17c5b,337289268,Deloitte,Data Scientist,on_site,"Ontario, Canada",2024-08-08T16:35:02.244Z,"

                                                                          +

                                                                          Job Type: Permanent
                                                                          Work Model:
                                                                          Hybrid
                                                                          Reference code:
                                                                          126898
                                                                          Primary Location:
                                                                          Toronto, ON
                                                                          All Available Locations:
                                                                          Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

                                                                          +

                                                                          -

                                                                          The Manager, Data & AI Risk is liable for assisting in the development of new dashboards and reports for the Data and AI Risk team. This role requires a high degree of flexibility, an appreciation of the challenges surrounding data risk, an understanding of technology, and the ability to socialize and collaborate effectively with colleagues.

                                                                          This role is primarily technical in nature and will require the effective use of a variety of tools in delivering analytics solutions. The current technology environment consists of Excel, R, and Power BI. It also requires the careful application of data visualization techniques to create effective final products for end-users, and an understanding of DAX functions and Power Queries.

                                                                          It is expected that the technical environment will change over time so this role will also involve transitioning the toolset to whatever is aligned with the Bank’s overall technology strategy. This could involve Google Cloud Platform (GCP).

                                                                          -

                                                                          Job Responsibilities:

                                                                          +

                                                                          Our Purpose

                                                                          -
                                                                          • Manage and maintain data and reporting processes

                                                                          • Build ETL processes using R or other tools

                                                                          • Build reporting and analysis applications using Power BI

                                                                          • Assist in the execution of the periodical and ad-hoc reporting to the Board and risk committees, including collection of metrics and creation of dashboards and reports

                                                                          • Work with end-users to develop an understanding of the potential uses and benefits of an analytical approach to managing risk

                                                                          • Create storytelling with data when building dashboards, reports, and custom analyses in the service of risk management

                                                                          • Explore the use of advanced analytics approaches and apply them as necessary

                                                                          • Ready to use Google Cloud Databases to create and manage databases for reporting and analysis

                                                                          • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.

                                                                          • +

                                                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                            +

                                                                            By living our Purpose, we will make an impact that matters.

                                                                            +
                                                                            • Learn from deep subject matter experts through mentoring and on the job coaching
                                                                            • Leverage the Deloitte CPA Advantage program, a comprehensive support program for CPA modules and the CFE.
                                                                            • Be encouraged to deepen your technical skills…whatever those may be.
                                                                            • Build your leadership skills at Deloitte University.
                                                                            • Have many careers in one Firm.
                                                                            • Partner with clients to solve their most complex problems
                                                                            • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                                            • Enjoy My Benefit Dollars - a flexible benefit to support your physical, financial and emotional well-being.
                                                                            • Experience a firm where wellness matters.
                                                                            • Experience MyFlex and an agile work environment where work is what you do not where you do it
                                                                            • Experience MyFlex where reduced hours or seasonal work allows you to meet your personal goals.
                                                                            • Build a network of colleagues for life
                                                                            • Have an impact that matters through pro bono and significant volunteer opportunities.
                                                                            • Be empowered to lead and have impact with clients, our communities and in the office.
                                                                            • Be expected to share your ideas and to make them a reality.
                                                                            • Be part of a firm that leads the way and pushes themselves to look like contemporary Canada.
                                                                            • Grow your network and your knowledge by joining one of our many Employee Resource Groups.
                                                                            -

                                                                            Job Requirements:

                                                                            +
                                                                          +
                                                                          +
                                                                          +

                                                                          --

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What will your typical day look like?

                                                                          +

                                                                          As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will responsible for model development, statistical and mathematical computations, and data ETL to deliver best-of-breed analytical solutions for clients’ business problems. You will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

                                                                          +
                                                                          +
                                                                          +

                                                                          About the team

                                                                          +

                                                                          Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes

                                                                          +
                                                                          +
                                                                          +

                                                                          Enough about us, let’s talk about you

                                                                          +
                                                                          • Data analysis and programming experience using Python
                                                                          • Experience with Could ML (AWS, GCP, Azure), or similar tools is an asset
                                                                          • 1+ years (Consultant) or 3+ years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
                                                                          • Strong experience with statistical analytical techniques, data mining, and predictive models is required
                                                                          • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
                                                                          • Experience with optimization modelling and/or natural language processing and/or social media analytics is an asset
                                                                          • Strong experience with Machine Learning Project management experience is an asset
                                                                          • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
                                                                          • Enthusiastic about solving complex problems with a variety of analytical tools
                                                                          • Professional services, consulting, or advisory experience is an asset
                                                                          • Strong oral and written communication skills
                                                                          • Interest in continuing to develop analytical and business development skills
                                                                          • BA/BSc degree in Computer Science, Applied Mathematics, Statistics, Mathematical Physics or related field is required.
                                                                          • Advanced degree (MA/MSc, equivalent or higher) is preferred.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          Total Rewards

                                                                          +


                                                                          The salary range for this position is $57,000 - $102,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          +
                                                                          +

                                                                          -
                                                                          • A strong quantitative background (based on either experience or education) is a must

                                                                          • Post-Secondary education completed

                                                                          • 3+ years experience in analytics and/or reporting with Power BI or Tableau

                                                                          • Strong Microsoft Suite experience (Excel, PowerPoint)

                                                                          • Experience with the use of relational database systems and general programming

                                                                          • Curious and proactive learner able to solve complex problems, multi-task and manage changing priorities

                                                                          • Experience as a Project Manager or Business Analyst an asset

                                                                          • Fluency in Spanish is an asset

                                                                          • -
                                                                          +

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          +

                                                                          Be yourself, and more.

                                                                          +

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          +

                                                                          You shape how we make impact.

                                                                          +

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

                                                                          +

                                                                          Be the leader you want to be

                                                                          +

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          +

                                                                          Have as many careers as you want.

                                                                          +

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

                                                                          The next step is yours

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-&-AI-Risk-%2812-Month-Contract%29-ON-M5C2V9/582091117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-18T16:33:05.568Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/329965791-manager-data-ai-risk-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-&-AI-Risk-%2812-Month-Contract%29-ON-M5C2V9/582091117/,expired,2024-06-20T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c8ce627c-6c68-4ca1-9661-d0cb1b640c40,326267712,BMO Financial Group,Senior Manager Risk Analytics and Reporting,on_site,"Ontario, Canada",2024-05-31T01:07:02.162Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          07/25/2024

                                                                          +

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          +

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          +

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          +

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-ON/1199571500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-08-22T16:40:03.590Z,False,0,14,81,https://talenthub.vectorinstitute.ai/jobs/337289268-data-scientist-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Data-Scientist-ON/1199571500/,expired,2024-08-08T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2b51cfe0-3eb4-4e0d-a045-dc69a5d6c7f7,335347545,Cohere AI,"Manager of Technical Staff, Search",on_site,"Toronto, ON, Canada",2024-07-25T16:41:01.961Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +
                                                                          We are looking for talented individual to help us lead a team within our Search org that develops state-of-the-art models for information retrieval. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.
                                                                          +

                                                                          +
                                                                          Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.
                                                                          +

                                                                          +
                                                                          We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.
                                                                          +

                                                                          +
                                                                          +

                                                                          As a Manager of Technical Staff on this team, you will:

                                                                          +
                                                                              +
                                                                            • Partner with our Product and Leadership teams, defining project requirements, timelines, and deliverables.
                                                                            • +
                                                                            • Collaborate cross-functionally with our platform, biz, sales, and marketing teams.
                                                                            • +
                                                                            • Design, train and improve upon cutting-edge search models.
                                                                            • +
                                                                            • Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
                                                                            • +
                                                                            • Work closely with model serving team to ensure that inference is fast and stable.
                                                                            • +
                                                                            • Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.
                                                                            • +
                                                                            • Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!
                                                                            • +
                                                                          +
                                                                          +

                                                                          You may be a good fit if you have:

                                                                          +
                                                                              +
                                                                            • Lead and managed teams of highly technical engineers and researchers. Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                                            • +
                                                                            • Experience training representation models, or using text embeddings in downstream tasks.
                                                                            • +
                                                                            • Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
                                                                            • +
                                                                            • Familiarity with autoregressive sequence models, such as Transformers.
                                                                            • +
                                                                            • Strong communication and problem-solving skills.
                                                                            • +

                                                                              +
                                                                              Bonus points for:
                                                                              +
                                                                            • Proficiency in other programming languages, such as C++ or Golang.
                                                                            • +
                                                                            • Experience using large-scale distributed training strategies with GPUs.
                                                                            • +

                                                                              +
                                                                              * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                              +
                                                                          +
                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,feed-importer@jobboard.io,,,,2024-08-22T16:46:02.804Z,False,0,3,33,https://talenthub.vectorinstitute.ai/jobs/335347545-manager-of-technical-staff-search-at-cohere-ai,https://jobs.lever.co/cohere/0feec908-833a-4720-b698-9f57fb775715,expired,2024-07-25T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Manager,No Degree,New Posting, +b795bf17-21c1-454c-9f52-548c627c801e,338160098,BMO Financial Group,"Manager, Risk Reporting and Loss Forecasting",on_site,"Ontario, Canada",2024-08-15T07:38:19.417Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          08/20/2024

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          @@ -69569,31 +70407,20 @@ c8ce627c-6c68-4ca1-9661-d0cb1b640c40,326267712,BMO Financial Group,Senior Manage

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                            -
                                                                          • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                          • -
                                                                          • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                          • -
                                                                          • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                          • -
                                                                          • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                          • -
                                                                          • Attracts, retains, and enables the career development of top talent.
                                                                          • -
                                                                          • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                          • -
                                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                                          • -
                                                                          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                          • -
                                                                          • Acts as a subject matter expert on relevant regulations and policies.
                                                                          • -
                                                                          • May network with industry contacts to gain competitive insights and best practices.
                                                                          • -
                                                                          • Interprets new regulations and assesses impacts to the risk reporting strategy/program framework.
                                                                          • +
                                                                          • Acts as a trusted advisor to assigned business/group.
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • +
                                                                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                                                                          • +
                                                                          • Assists in the development of strategic plans.
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • -
                                                                          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                          • -
                                                                          • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                          • -
                                                                          • Measures the effectiveness of risk reporting program/strategy; recommends changes as required.
                                                                          • +
                                                                          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
                                                                          • +
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.
                                                                          • Leads the development and maintenance of the risk reporting framework.
                                                                          • -
                                                                          • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                                                          • Ensures alignment between stakeholders.
                                                                          • -
                                                                          • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                          • -
                                                                          • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                                                                          • -
                                                                          • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                          • -
                                                                          • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                                                                          • +
                                                                          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                                                                          • +
                                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                          • May provide specialized support for other internal and external regulatory requirements.
                                                                          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • @@ -69614,281 +70441,520 @@ c8ce627c-6c68-4ca1-9661-d0cb1b640c40,326267712,BMO Financial Group,Senior Manage
                                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          • -
                                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                          • -
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                          • -
                                                                          • Implements changes in response to shifting trends.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                          • -
                                                                          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • In-depth/expert knowledge of risk management metrics, KPIs and KRIs.
                                                                          • -
                                                                          • In-depth/expert knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • -
                                                                          • In-depth/expert product knowledge for the designated business/portfolio.
                                                                          • -
                                                                          • In-depth/expert knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • -
                                                                          • In-depth/expert knowledge of reporting & analytics concepts and applications.
                                                                          • -
                                                                          • In-depth/expert knowledge of risk systems technology.
                                                                          • -
                                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth / Expert.
                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth / Expert.
                                                                          • -
                                                                          • Influence skills - In-depth / Expert.
                                                                          • -
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                          • -
                                                                          • Able to manage ambiguity.
                                                                          • -
                                                                          • Data driven decision making - In-depth / Expert.
                                                                          • +
                                                                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • In-depth knowledge of risk management metrics, KPIs and KRIs.
                                                                          • +
                                                                          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • +
                                                                          • In-depth product knowledge for the designated business/portfolio.
                                                                          • +
                                                                          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • +
                                                                          • In-depth knowledge of reporting & analytics concepts and applications.
                                                                          • +
                                                                          • In-depth knowledge of risk systems technology.
                                                                          • +
                                                                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • +
                                                                          • Collaboration & team skills - In-depth.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • +
                                                                          • Influence skills - In-depth.
                                                                          • +
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          +
                                                                          +

                                                                          +

                                                                          Salary:

                                                                          +
                                                                          $68,000.00 - $126,000.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R240016829?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-22T19:08:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/338160098-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +dfba7a0d-cedf-4d47-bfda-8657bae6410a,337553716,Roche,Data and Analytics (D&A) Data Engineer,on_site,"Mississauga, ON, Canada",2024-08-10T13:57:31.885Z,"

                                                                          A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

                                                                          +

                                                                          Creating a world where we all have more time with the people we love.

                                                                          +

                                                                          That’s what makes us Roche.

                                                                          +

                                                                          The ideal candidate is a proactive self-starter with robust programming expertise and a curiosity about innovative thinking. They are passionate about data and have a consistent track record of delivering successful projects. In this role, they will focus on building data pipelines, integrating diverse data sources, and creating innovative AI models, driving our mission to harness data for ground-breaking solutions.

                                                                          +

                                                                          The Opportunity

                                                                          +
                                                                            +
                                                                          • Translate business requirements into data models and data warehousing layers on AWS to support APIs, visualization tools, and data analytics.
                                                                          • +
                                                                          • Implement ETL pipelines to extract and load data into and from databases; automate manual processes.
                                                                          • +
                                                                          • Evaluate and participate in designing sprints for database/data warehouse solutions as the organization grows.
                                                                          • +
                                                                          • Support highly performant APIs, visualization tools, and data analytics while ensuring alignment to FAIR data principles.
                                                                          • +
                                                                          • Provide technical mentorship and cross-training to peers and team members; collaborate with multidisciplinary teams to ensure data acquisition, integrity, availability, and security.
                                                                          • +
                                                                          • Contribute to the development and implementation of Roche DIA’s Enterprise Data Management strategy; understand sophisticated scientific problems and develop reliable solutions.
                                                                          • +
                                                                          • Leverage experience with genomics data, data modeling, ontologies, and strong technical communication skills in a collaborative and dynamic research environment.
                                                                          • +
                                                                          +

                                                                          Who you are

                                                                          +
                                                                            +
                                                                          • You have completed a Bachelor’s degree in Management Information Systems, Computer Science, Analytics, or equivalent and at least 3 years of relevant experience in data engineering and/or business intelligence.
                                                                          • +
                                                                          • You have experience with programming languages such as Nextflow, Conda, Java, or Python for developing data pipelines.
                                                                          • +
                                                                          • You bring operationalization experience in Data Science projects (MLOps) using popular frameworks or platforms like Kubeflow, AWS Sagemaker, Google AI Platform, h2O, etc.
                                                                          • +
                                                                          • You have advanced experience in working with graph or relational databases, query authoring, and delivering data-models and pipelines using cloud services and architectures.
                                                                          • +
                                                                          +

                                                                          Relocation benefits are not available for this posting.

                                                                          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-and-Analytics--D-A--Data-Engineer_202407-116755,stacey.mancuso@roche.com,https://www.roche.com/careers.htm,,,2024-08-22T19:08:00.000Z,False,0,8,30,https://talenthub.vectorinstitute.ai/jobs/337553716-data-and-analytics-d-a-data-engineer-at-roche,,expired,2024-08-10T13:57:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +3d73e4e7-7653-4af7-8896-2a8426349183,335777732,Ada,"Engineering Manager, Application Engineering",on_site,"Ontario, Canada",2024-07-29T06:14:02.425Z,"
                                                                          +
                                                                          +
                                                                          +
                                                                          At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort.
                                                                          +
                                                                          +
                                                                          Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx +
                                                                          +
                                                                          +
                                                                          +

                                                                          As an Engineering Manager within our Application Engineering teams, you will be pivotal in leading a group of 5-8 engineers to elevate our automated resolution systems. This position is integral in ensuring our engineering efforts align seamlessly with our product visions, helping customers enhance the performance of their AI Agents and contributing to our underlying technological advancement. Your leadership will drive the development and integration of innovative solutions that meet the needs of our dynamic customer base, contributing directly to our goal of expanding our generative client portfolio.

                                                                          +

                                                                          About You

                                                                          +
                                                                            +
                                                                          • You possess a robust product engineering mindset with a keen sense of prioritization, balancing speed and technical excellence.
                                                                          • +
                                                                          • Familiarity with Python, Javascript, Kafka, MongoDB, DynamoDB, AWS systems and technologies or comparable stack
                                                                          • +
                                                                          • With 5+ years of experience managing and scaling engineering teams, you thrive in coaching and mentoring engineers to achieve excellence.
                                                                          • +
                                                                          • You demonstrate a strong ability to communicate and collaborate effectively with various levels of stakeholders.
                                                                          • +
                                                                          • With a customer-obsessed approach, you are dedicated to delivering superior experiences and innovative solutions.
                                                                          • +
                                                                          • Proficient in driving projects integrating complex systems and multiple technology stacks, you excel in environments requiring high adaptability and problem-solving skills.
                                                                          • +
                                                                          • Experience in agile development environments, ensuring that your teams deliver on time and with a high level of quality
                                                                          • +
                                                                          • Knowledgeable in modern software practices and tools, ideally with experience in AI technologies, knowledge systems and data pipelines
                                                                          • +
                                                                          • Prior experience building data pipelines and interfaces for reporting systems
                                                                          • +
                                                                          • Experience building APIs and knowledge of external LLMs
                                                                          • +
                                                                          +

                                                                          Outcomes

                                                                          +
                                                                            +
                                                                          • Deliver an enhanced dashboard experience that empowers customers to understand how their AI Agent is performing and where they can provide more coaching or new capabilities.
                                                                          • +
                                                                          • Lead projects focusing on the measurement of our core metric, Automated Resolutions.
                                                                          • +
                                                                          • Lead projects focusing on ingestion and reporting of data from a diverse range of sources to enhance the accuracy and supporting metrics.
                                                                          • +
                                                                          • Lead the delivery of our data strategy aligned with our technical direction.
                                                                          • +
                                                                          • +
                                                                          +

                                                                          Benefits

                                                                          +
                                                                            +
                                                                          • Competitive salary and generous stock option plan
                                                                          • +
                                                                          • Unlimited vacation
                                                                          • +
                                                                          • Wellness account
                                                                          • +
                                                                          • Extended health coverage
                                                                          • +
                                                                          • Dental/optical/travel insurance
                                                                          • +
                                                                          • Life insurance
                                                                          • +
                                                                          • Employee and family assistance plan
                                                                          • +
                                                                          +

                                                                          Perks

                                                                          +
                                                                            +
                                                                          • Flexible work schedule
                                                                          • +
                                                                          • Remote-first, In-person friendly work environment with WFH budget
                                                                          • +
                                                                          • Paid parental leave for Canadian residents
                                                                          • +
                                                                          • Development opportunities
                                                                          -
                                                                          -

                                                                          -

                                                                          Compensation and Benefits:

                                                                          -
                                                                          $84,000.00 - $156,000.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          The expected salary range for this position is $166,962 to $225,505 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

                                                                          +

                                                                          #LI-NS1

                                                                          +
                                                                          +
                                                                          +

                                                                          About Us

                                                                          +

                                                                          Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we\'ll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

                                                                          +

                                                                          We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

                                                                          +

                                                                          Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

                                                                          +

                                                                          Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

                                                                          +

                                                                          +

                                                                          +
                                                                          +
                                                                          ",,https://job-boards.greenhouse.io/ada18/jobs/4414864007,feed-importer@jobboard.io,,,,2024-08-22T06:19:02.959Z,False,0,4,22,https://talenthub.vectorinstitute.ai/jobs/335777732-engineering-manager-application-engineering-at-ada,,expired,2024-07-29T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Information and Media),Manager,No Degree,New Posting, +a26c80a7-609d-47f4-a5ee-c0a1335b6dc9,335777727,OMERS,"Technical Analyst, Valuations and Analytics",on_site,"Ontario, Canada",2024-07-29T06:14:02.122Z,"
                                                                          +

                                                                          Why join us?

                                                                          +

                                                                          +

                                                                          Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

                                                                          At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

                                                                          +

                                                                          +

                                                                          +

                                                                          Oxford is seeking a Technical Analyst to join our Valuations & Analytics team in Toronto, Canada. Oxford’s Valuations & Analytics team is responsible for real estate valuations, portfolio and property performance and risk analysis across all markets that Oxford invests. The ideal candidate will combine solid technical skills with a desire to learn real estate finance as an integral part of the Valuations & Analytics team. The candidate for this position will be exposed to the valuation and asset management analytics of investment properties across Oxford’s global portfolio.

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          As a member of this team, you will be responsible for:

                                                                          +
                                                                            +
                                                                          • Designing, building and maintaining reports, tools and templates used to create and maintain Oxford valuation models using VBA, SQL and / or related skills;
                                                                          • +
                                                                          • Assist in the development and maintenance of the team’s database, which tracks historic and forecast property results and market information;
                                                                          • +
                                                                          • Liaise with Oxford’s Information Technology team as well as third party systems service providers in the sourcing, development and maintenance of internally and externally managed software and systems;
                                                                          • +
                                                                          • Lead regular testing and implementation of annual system upgrades and process improvements;
                                                                          • +
                                                                          • Conduct market and economic research, assemble and interpret macro-market trends.
                                                                          • +
                                                                          • Participate in the creation and maintenance of valuation models primarily using Argus Enterprise to reflect changes to the portfolio and market conditions; +
                                                                          • +
                                                                          • Liaise with accountants, asset managers, leasing and property management groups in data collection for periodic valuation updates; and
                                                                          • +
                                                                          • Prepare annual written valuation reports.
                                                                          • +
                                                                          +

                                                                          To succeed in this role, you have:

                                                                          +
                                                                            +
                                                                          • Relevant undergraduate or advanced degree with 1-4 years of work experience;
                                                                          • +
                                                                          • Candidates must have completed some computer programming courses at a post-secondary level and have a well-developed understanding of the principles of programming;
                                                                          • +
                                                                          • Proficiency in SQL, VBA (or equivalents), and Microsoft Excel (financial modeling) is required;
                                                                          • +
                                                                          • Knowledge and experience with data visualization or business intelligence software is considered an asset;
                                                                          • +
                                                                          • Demonstrated interest in, or prior work experience, in real estate or investment finance is considered an asset;
                                                                          • +
                                                                          • Knowledge and experience with ARGUS Enterprise is considered an asset;
                                                                          • +
                                                                          • Self-motivated individual with a strong work ethic and a high level of attention to detail;
                                                                          • +
                                                                          • Strong verbal and written communication, interpersonal, problem solving and project management skills;
                                                                          • +
                                                                          • Ability to work well under pressure with multiple competing deadlines;
                                                                          • +
                                                                          • Flexible attitude towards a variety of work tasks is required;
                                                                          • +
                                                                          • Valid Passport for International travel as needed.
                                                                          • +

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          -

                                                                          +

                                                                          #LI-Hybrid

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          Our story:

                                                                          +

                                                                          Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          For more information on Oxford, visit www.oxfordproperties.com

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager-Risk-Analytics-and-Reporting_R240014046?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-03T20:54:52.492Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/326267712-senior-manager-risk-analytics-and-reporting-at-bmo-financial-group,,expired,2024-05-31T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -60c596fb-8c8d-4858-a281-c8f09f68f53c,326747266,Cohere AI,"Member of Technical Staff, Inference & Model Serving",on_site,"Toronto, ON, Canada",2024-06-02T16:41:02.249Z,"
                                                                          -
                                                                          Who are we?
                                                                          -
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          -

                                                                          -
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          -

                                                                          -
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          -

                                                                          -
                                                                          Join us on our mission and shape the future!
                                                                          -

                                                                          -
                                                                          Why this role?
                                                                          -
                                                                          Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
                                                                          -

                                                                          -
                                                                          We are looking for candidates with a range of experiences for multiple roles.
                                                                          -
                                                                          -

                                                                          You may be a good fit if you have:

                                                                          -
                                                                              -
                                                                            • Experience with serving ML models.
                                                                            • -
                                                                            • Experience designing, implementing, and maintaining a production service at scale.
                                                                            • -
                                                                            • Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures.
                                                                            • -
                                                                            • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference.
                                                                            • -
                                                                            • Strong understanding or working experience with distributed systems.
                                                                            • -
                                                                            • Experience in performance benchmarking, profiling, and optimization.
                                                                            • -
                                                                            • Experience with cloud infrastructure (e.g. AWS, GCP).
                                                                            • -
                                                                            • Experience in Golang (or, other languages designed for high-performance scalable servers).
                                                                            • -
                                                                          -
                                                                          -

                                                                          -

                                                                          -
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          -

                                                                          -
                                                                          -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                                                                          -

                                                                          -
                                                                          Our Perks:
                                                                          -
                                                                          🤝 An open and inclusive culture and work environment
                                                                          -
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          -
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          -
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          -
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          -
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          -
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          -
                                                                          ✈️ 6 weeks of vacation
                                                                          -

                                                                          -
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          -
                                                                          ",,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,feed-importer@jobboard.io,,,,2024-07-03T21:03:49.852Z,False,0,12,48,https://talenthub.vectorinstitute.ai/jobs/326747266-member-of-technical-staff-inference-model-serving-at-cohere-ai,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,expired,2024-06-02T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, -acab8c63-4277-4253-9c8c-b79916a3cb14,326850142,Scotiabank,"Manager, CCR Capital Analytics, Market Risk Measurement (6 Months Contract)",on_site,Canada : Ontario : Toronto,2024-06-03T16:28:01.927Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 200379

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Purpose of Job:

                                                                          -

                                                                          -

                                                                          As part of Global Risk Management, Market Risk Measurement team delivers reporting, analytics and insights to the Bank’s non-retail business lines. The Counterparty Credit Risk (CCR) Capital analytics team specializes in regulatory capital for Counterparty Credit Default risk and Credit Value Adjustment. The incumbent will work on development, maintain the Bank’s CCR capital system and be liable for the report and corresponding analysis. We are looking for people and talent that will help us drive large-scale initiatives forward and work alongside our diverse team of quants, data scientists and developers and collaborate with our many stakeholders across Scotiabank.

                                                                          -

                                                                          -

                                                                          Job Responsibilities:

                                                                          -

                                                                          -
                                                                          • Report CCR and CVA capital timely with quality on a periodic basis

                                                                          • Collaborate with front-office, technology, and all users to assist investigations.

                                                                          • Monitor and escalate any issues impact on the CCR/CVA capital value.

                                                                          • Develop and automate control processes to identify data challenges affecting accuracy of CCR/CVA capital; Collaborate with data governance teams to drive CCR data issues resolution.

                                                                          • Develop and implement analytics dashboard through the Power BI framework for CCR/CVA capital reporting and drilldown investigation tools for the capital values.

                                                                          • Assist business line in any ad-hoc/one-off capital analysis and in understanding CCR/CVA capital calculation.

                                                                          • Perform detailed quantitative and technical review capital process, including responsibility of creating the end-to-end capital process, research on appropriate statistical / mathematical technical tests, undertaking research and development of new techniques, coding/programming to assess various aspects of model performance.

                                                                          • Comply with internal policies, procedures and regulatory requirements where applicable

                                                                          • Provide active and direct assist to resolve outstanding audit and regulatory issues and to respond to ad hoc senior management and regulatory requests.

                                                                          • -
                                                                          -

                                                                          Job Requirements:

                                                                          -

                                                                          -
                                                                          • Advanced degree in Mathematics, Statistics, Econometrics, Physics, Computer Science, Financial Mathematics, Financial Engineering (Master or above, Ph.D. Preferred); Industry certification or credentials will be an asset (e.g. CFA, FRM)

                                                                          • Knowledges of the derivative pricing model theory, counterparty credit risk modeling, market data etc. Experience in modeling including the valuation and capital models, or counterparty credit risk modeling,

                                                                          • Familiar with various trading products including IR, FX, Equity, Commodity, SFT etc.

                                                                          • Excellent written and presentation skills to provide advice and explanation to various users

                                                                          • Sound understanding of various modelling techniques and comfortable to conduct various tests.

                                                                          • Proficient computing skills in SQL, Python, Unix bash scripting.

                                                                          • Knowledge of databases and BI tools (especially MS Power BI) is an asset.

                                                                          • Ability to manage efficiently multiple priorities; attention to detail and ability to work independently or in teams; consensus-building ability.

                                                                          • +

                                                                            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                                                            +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Technical-Analyst--Valuations-and-Analytics_JR-5399-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-08-26T06:19:04.404Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/335777727-technical-analyst-valuations-and-analytics-at-omers,,expired,2024-07-29T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +2e594ce7-26fe-4a85-a252-86eed209efd1,339052254,CIBC,"Sr. Analyst, Risk Analytics, Business Banking Lending (RACD)",on_site,"Ontario, Canada",2024-08-22T07:33:02.403Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          +

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          +

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          +

                                                                          +

                                                                          +

                                                                          What you’ll be doing

                                                                          +

                                                                          +

                                                                          Senior Analyst, Risk Analytics will contribute to the profitable growth of Business Banking portfolio by performing data-driven analyses and reporting, aimed at improving the performance of risk management strategies/policies and overall portfolio. The Senior Analyst will be involved in evaluating strategies that balance the risk/reward tradeoff for new and existing accounts, conducting ad-hoc analysis to support decision making, developing reports that offer insights into the business and supporting analytics efforts in the portfolio.

                                                                          +

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-2 days per week on-site, while other days will be remote.

                                                                          +

                                                                          +

                                                                          How you’ll succeed

                                                                          +
                                                                            +
                                                                          • Analysis - Design and execute data solutions to provide in-depth analysis on the Business Banking portfolio.

                                                                          • +
                                                                          • Reporting and insights - Translate business questions into detailed analytical data-driven answers and develop reports and dashboards.

                                                                          • +
                                                                          • Credit risk analytics – Support the development of proposals/business cases for credit risk scorecards, system or rule changes that will enhance credit risk management performance.

                                                                          • +
                                                                          • Collaborate - Work professionally with Colleagues and Business Partners to attain business objectives.

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Capital-Analytics%2C-Market-Risk-Measurement-%286-Months-Contract%29-ON-M5H1B6/581437617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-03T21:12:03.151Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/326850142-manager-ccr-capital-analytics-market-risk-measurement-6-months-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Capital-Analytics%2C-Market-Risk-Measurement-%286-Months-Contract%29-ON-M5H1B6/581437617/,expired,2024-06-03T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -ed6def08-f172-409d-aee2-0c1fd3099d1e,328644289,Thomson Reuters,"Vice President, AI Platform",on_site,"Toronto, ON, Canada",2024-06-13T15:31:05.930Z,"

                                                                          The Core AI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The AI Platform aims to foster a culture of innovation, enables rapid development of AI solutions, and drive transformative outcomes to stakeholders. Towards this vision, it currently serves as a comprehensive ecosystem of collaborative services, tools, and infrastructure empowering both technical and non-technical users to seamlessly develop, evaluate, deploy and monitor AI solutions tailored to various business use cases and personas. Through prioritizing transparency, reusability of prompts, models and workflows, and swift integration of emerging AI frameworks like Generative AI, the AI Platform strives to redefine the landscape of AI solutions whether for experimentation or for a production environment.

                                                                          -

                                                                          About the Role

                                                                          -

                                                                          The Vice President, AI Platform is responsible for building, operating and evolving the AI Platform to support technical and non-technical users on the adoption of AI. They will engage with data science, engineering and product teams across the company to ensure feature/function requirements are understood and prioritized to drive maximum value for customers and colleagues. This leader will deliver capabilities that will accelerate innovation and enable thousands of experiments and AI solutions to run simultaneously, at speed and scale.

                                                                          -

                                                                          Key Responsibilities:

                                                                          -
                                                                          • Design, implement, operate and evolve the multi-cloud AI Platform including:
                                                                              -
                                                                            • Advanced tooling for prompting, evaluations and AI Agent centric workflows
                                                                            • -
                                                                            • Standardization and automation of the path to production for AI solutions
                                                                            • -
                                                                            • Automated model development lifecycle, devops, model validation, lineage
                                                                            • -
                                                                            • Model operations capabilities including monitoring for model drift, testing for ethics and bias
                                                                            • -
                                                                            • Training and support of a wide user base with varying levels of expertise
                                                                            • +

                                                                              Who you are

                                                                              +
                                                                                +
                                                                              • You have a degree in a quantitative field (i.e., mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience.

                                                                              • +
                                                                              • You demonstrate experience in a reporting or analytical role, preferably with strong knowledge in SAS, SQL or other tools used for analysis; Working in applied data & analytics problems in business banking and/or retail banking is an asset.

                                                                              • +
                                                                              • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                                                              • +
                                                                              • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                                                              • +
                                                                              • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                              • +
                                                                              • You love to learn. You\'re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                                                                              • +
                                                                              • Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

                                                                              -
                                                                            +

                                                                            +

                                                                            What CIBC Offers

                                                                            +

                                                                            +

                                                                            At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                              -
                                                                            • Design and implement strong security and privacy enhancing technologies and methods
                                                                            • -
                                                                            • Actively track and report progress to senior stakeholders on progress, adoption and value enablement
                                                                            • -
                                                                            • Ensure a diverse and inclusive organization, driving team growth
                                                                            • -
                                                                            • Work collaboratively with all parts of TR to drive an AI-driven culture
                                                                            • -
                                                                            • Achieve Financial Plan target; drive productivity improvements
                                                                            • +
                                                                            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                            • +
                                                                            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                            • +
                                                                            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                            -

                                                                            This role will partner across the Product, Data & Analytics and Product Engineering organization to:

                                                                            +

                                                                            +

                                                                            *Subject to plan and program terms and conditions

                                                                            +

                                                                            +

                                                                            What you need to know

                                                                              -
                                                                            • Automate Data and Model Governance processes (with Responsible AI team)
                                                                            • -
                                                                            • Drive the GenAI Platform agenda, integrating with Content and making the path to production frictionless and timely
                                                                            • +
                                                                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                            • +
                                                                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                            • +
                                                                            • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                            -

                                                                            About You

                                                                            -

                                                                            You are a fit for this role if you possess the following:

                                                                            -

                                                                            Education and Experience:

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            Job Location

                                                                            Toronto-81 Bay, 31st Floor

                                                                            +

                                                                            Employment Type

                                                                            Regular

                                                                            +

                                                                            Weekly Hours

                                                                            37.5

                                                                            +

                                                                            Skills

                                                                            Analytical Thinking, Data Analytics, Data Extraction, Data Quality, Risk Analytics
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Analyst--Risk-Analytics--Business-Banking-Lending--RACD-_2414743-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-08-26T07:38:01.844Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/339052254-sr-analyst-risk-analytics-business-banking-lending-racd-at-cibc,,expired,2024-08-22T07:33:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8d4a8227-2e30-444a-acc6-afc6dabc439b,337369947,TD Bank Group,"Senior Manager, AI/ML Model Validation",hybrid,"Toronto, ON, Canada",2024-08-08T20:48:37.715Z,"

                                                                          Work Location:

                                                                          +

                                                                          Canada

                                                                          +

                                                                          +

                                                                          Hours:

                                                                          +

                                                                          37.5

                                                                          +

                                                                          +

                                                                          Line of Business:

                                                                          +

                                                                          Data & Analytics

                                                                          +

                                                                          +

                                                                          Pay Details:

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Department Overview

                                                                          +

                                                                          The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence / Machine Learning (AI/ML) Model Validation team within MV is responsible for the review/vetting and approval of AI/ML models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance). By ensuring an objective and independent evaluation of models, the Model Validation function is critical to the effective measurement and management of model risk across the TD Bank Group.

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          The position reports to AVP, AI/ML Model Validation group. Detailed accountabilities include:

                                                                            -
                                                                          • Bachelor’s degree in computer science, software engineering or equivalent experience
                                                                          • -
                                                                          • Hands on experience with AI/ML engineering frameworks
                                                                          • -
                                                                          • A minimum of 10 years of experience in software development and deployment
                                                                          • -
                                                                          • Prior experience working in a large, geographically dispersed organization.
                                                                          • -
                                                                          • Experience leading and developing highly effective teams
                                                                          • -
                                                                          • 10+ years of software development leadership and/or executive positions
                                                                          • -
                                                                          • Extensive experience creating and executing technology strategy and technical roadmaps
                                                                          • -
                                                                          • Ability to understand, evaluate and discuss technical integration scenarios and architectural concepts
                                                                          • -
                                                                          • Experience with Agile methodologies and understanding of modern web/SaaS technologies and systems
                                                                          • -
                                                                          • Experience presenting strategy and operational updates to senior executives
                                                                          • -
                                                                          • Ability to prioritize, self-initiate, and create momentum, even with partial guidance or information
                                                                          • +
                                                                          • Lead a team of Machine Learning and Data Scientists to perform validation of all Fraud and Cyber Security models deemed in-scope by the bank-wide Model Risk Policy.
                                                                          • +
                                                                          • Recommend the approval of models or other corrective actions based on the independent validation.

                                                                            +
                                                                              +
                                                                            • Lead and support a team of model validators.
                                                                            • +
                                                                            • Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
                                                                            • +
                                                                            • Communicate group objectives and strategies and align group activities in support of business objectives.
                                                                            • +
                                                                            +
                                                                          • +
                                                                          • Support employee development activities, coach and support direct reports in meeting their personal development objectives.
                                                                          • +
                                                                          • Assume a leadership role in developing standards and procedures for vetting and validation Fraud and Cyber Security models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
                                                                          • +
                                                                          • Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
                                                                          • +
                                                                          • Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
                                                                          • +
                                                                          • Play a key role in ensuring the appropriate use of Fraud and Cyber Security models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
                                                                          • +
                                                                          • Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on AI/ML Fraud and Cyber Security modeling and validation.

                                                                          -

                                                                          Desired Qualifications:

                                                                          +

                                                                          Job Requirements

                                                                            -
                                                                          • Experience in driving large-scale change across a global organization
                                                                          • -
                                                                          • Strong organization, analytical and problem-solving skills with an end-user focus
                                                                          • -
                                                                          • Exceptionally strong verbal and written communication skills with ability to effectively communicate updates and desired outcomes in a succinct manner
                                                                          • +
                                                                          • Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, finance, engineering, software engineering, statistics, economics / econometrics, mathematics
                                                                          • +
                                                                          • 4+ years of experience in either developing or validating Fraud / Cyber Security models; and 2+ years of experience in leading a small team of data scientists.
                                                                          • +
                                                                          • In-depth knowledge of fraud risk management and detection of different types of fraud attacks.
                                                                          • +
                                                                          • In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications. Understanding of weaknesses and limitation of popular ML modeling approaches.
                                                                          • +
                                                                          • Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, and etc.
                                                                          • +
                                                                          • In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques
                                                                          • +
                                                                          • Ability to research and implement Machine Learning algorithms from academic research papers is a plus.
                                                                          • +
                                                                          • Proficient in relevant programming languages such as Python, PySpark, SQL. Experience with Microsoft Azure cloud infrastructure, Databricks is an asset.
                                                                          • +
                                                                          • Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
                                                                          • +
                                                                          • Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
                                                                          • +
                                                                          • Strong critical and analytic thinking skills.
                                                                          • +
                                                                          • Excellent time / project management and multitasking skills with minimal supervision.
                                                                          • +
                                                                          • Stay up to date with the latest advancements in fraud risk management, data science, machine learning, and AI.

                                                                          -

                                                                          #LI-PFF

                                                                          -

                                                                          What's in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          +

                                                                          +

                                                                          Who We Are:

                                                                          +

                                                                          TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                          +

                                                                          +

                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                          +

                                                                          +

                                                                          Additional Information:
                                                                          We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                          Colleague Development
                                                                          If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                          +

                                                                          Training & Onboarding
                                                                          We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                          +

                                                                          +

                                                                          Interview Process
                                                                          We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                          +


                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          +

                                                                          +

                                                                          Language Requirement:

                                                                          +

                                                                          Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français./This position requires proficiency in a language other than French to support or deal with employees who require services and support in a language other than French.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Senior-Manager--AI-ML-Model-Validation_R_1357557?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-26T19:30:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/337369947-senior-manager-ai-ml-model-validation-at-td-bank-group,,expired,2024-08-08T20:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +2942705c-42a9-4559-9e99-9977630e3715,338157006,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2024-08-15T06:14:02.244Z,"
                                                                          +

                                                                          Referred applicants should NOT apply directly to this role.

                                                                          All referred applicants must first be submitted through Workday by a current OMERS and Oxford employee, and then must apply through the unique link received via their email.

                                                                          +

                                                                          +

                                                                          Choose a workplace that empowers your impact.

                                                                          +

                                                                          Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

                                                                          +

                                                                          +

                                                                          We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

                                                                          +

                                                                          +

                                                                          Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

                                                                          +

                                                                          +

                                                                          Don’t just work anywhere — come build tomorrow together with us.

                                                                          +

                                                                          +

                                                                          +

                                                                          We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                                                                          +

                                                                          +

                                                                          Scope of Position: Support investment teams by enabling robust and reliable investment data, analytics, and reporting through investment technology and change management at one of Canada’s largest pension funds having assets exceeding $120 Billion.

                                                                          +

                                                                          +

                                                                          Responsibilities:

                                                                            -
                                                                          • -Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
                                                                          • -
                                                                          • -Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                                          • -
                                                                          • -Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                                          • -
                                                                          • -Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                                          • -
                                                                          • -Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
                                                                          • -
                                                                          • -Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
                                                                          • +
                                                                          • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                                                                          • +
                                                                          • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                                                                          • +
                                                                          • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                                                                          • +
                                                                          • Automate manual processes and optimize data delivery
                                                                          • +
                                                                          • Utilize modern technologies for designing and building data solutions to meet business needs
                                                                          • +
                                                                          • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                                                                          • +
                                                                          • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                                                                          • +
                                                                          • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                                                                          • +
                                                                          • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support

                                                                          -

                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          -

                                                                          -

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          -

                                                                          Accessibility

                                                                          -

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          -

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          Qualifications:

                                                                          +
                                                                            +
                                                                          • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                                                                          • +
                                                                          • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                                                                          • +
                                                                          • +Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar
                                                                          • +
                                                                          • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                                                                          • +
                                                                          • Deep proficiency in SQL, Python, and similar languages
                                                                          • +
                                                                          • Good understanding of investment products
                                                                          • +
                                                                          • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                                                                          • +
                                                                          • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                                                                          • +
                                                                          • Investment data modeling experience using the Kimball method is an asset
                                                                          • +
                                                                          • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                                                                          • +
                                                                          • Data governance experience is an asset
                                                                          • +
                                                                          • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                                                                          • +

                                                                          -

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          And you demonstrate:

                                                                          +
                                                                            +
                                                                          • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                                                                          • +
                                                                          • A teammate mentality coupled with servant leadership
                                                                          • +
                                                                          • A sense of urgency, optimism, and a desire to deliver excellence
                                                                          • +
                                                                          • A desire to drive debate, to speak candidly, and to listen empathetically
                                                                          • +
                                                                          • Strong orientation towards strategy, change, and results
                                                                          • +
                                                                          • A continuous improvement mindset
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

                                                                          +

                                                                          +

                                                                          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Data-Engineer--Finance-Data_JR-5697-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-08-26T19:30:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/338157006-data-engineer-finance-data-at-omers,,expired,2024-08-15T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +503422c4-9489-4306-90fe-52067ac5c7e0,334451990,Deloitte,"Senior Associate/Manager, Fraud Analytics - Financial Engineering & Modeling",on_site,"Toronto, ON, Canada",2024-07-18T16:30:30.438Z,"

                                                                          Date: Jul 9, 2024

                                                                          +

                                                                          Location: Toronto, Ontario, Canada

                                                                          +

                                                                          Company: Deloitte

                                                                          +

                                                                          Job Type: Permanent
                                                                          Reference code: 126335
                                                                          Primary Location: Toronto, ON
                                                                          All Available Locations: Toronto, ON

                                                                          -

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ179757/Vice-President-AI-Platform,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-07-04T19:40:00.000Z,False,0,6,38,https://talenthub.vectorinstitute.ai/jobs/328644289-vice-president-ai-platform-at-thomson-reuters,,expired,2024-06-13T15:31:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Executive,Bachelors Degree,New Posting, -86848ae0-0afa-4256-9602-dca2623931af,328652242,Scotiabank,"Director, Credit Risk Oversight & Analytics, Small Business",on_site,Canada : Ontario : Toronto,2024-06-13T16:28:02.261Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 201178

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          The Director, Credit Risk Oversight & Analytics, Small Business, Global Risk Management, is liable for providing leadership and key oversight on the evaluation and decisions made on credit score and policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on self-governing analysis of the risk-return trade-off given the credit risk profile of each proposal.

                                                                          -

                                                                          -

                                                                          Job Responsibilities:

                                                                          -

                                                                          -
                                                                          • The Director will be liable for – from conception through execution and governance – development and optimization of risk strategies, decisioning and forecasting models specific to small business product lines (leveraging enterprise-level data management tools and lead advanced analytics & modeling experts to develop advanced risk prediction strategies and models). The Director will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Local Risk teams, Provisions, Product, Risk Strategy & Risk Management, Model Validation

                                                                          • Under his/her guidance, the team of risk analytics experts will develop and run advanced risk segmentations, strategies and forecasting models that will be used to help manage Small Business capital and exposures which will require high levels of accuracy and precision, relatively easy to explain, are compliant, secure, and useful.

                                                                          • Contribute to defining the credit risk appetite and facilitate analysis that ensures the Small Business portfolios are performing with acceptable risk measures. Proactively and thoroughly screen the portfolio for emerging and long run trends which require action – develop and implement plans to adjust risk-taking or mitigating as required.

                                                                          • Aim to be an industry leader in developing innovative solutions for Small Business through the use of advanced analytics, agile principles and disciplined risk governance. Lead a team whose mandate is to modernize Credit Risk, act as an idea incubator and analytical use cases accelerator, leveraging non-traditional data, advanced tools and enterprise systems. Lead a team that relies on Credit Science expertise and key business partners to provide consulting services within GRM and help build the next generation of credit solutions at Scotiabank.

                                                                          • Leads and drives a data-analytics focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge. The team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premises private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools

                                                                          • Lead key projects, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with business line to apply advanced analytics techniques and tools. Identify and recommend opportunities to deliver innovative credit offers based on risk-reward framework and overall GRM’s strategy.

                                                                          • Evaluate situations, derive insights, synthesize results, and socialize high-quality recommendations effectively, both verbally, and in writing

                                                                          • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                                                          • +

                                                                            Our Purpose

                                                                            +

                                                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                            +

                                                                            By living our Purpose, we will make an impact that matters.

                                                                            +
                                                                              +
                                                                            • Learn from deep subject matter experts through mentoring and on the job coaching
                                                                            • +
                                                                            • Be encouraged to deepen your technical skills…whatever those may be.
                                                                            • +
                                                                            • Have many careers in one Firm.
                                                                            -

                                                                            -

                                                                            Job Requirements:

                                                                            -

                                                                            -
                                                                            • The Director role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities.

                                                                            • The candidate will be at the intersection of math/stats, computer science and domain knowledge in Risk Management and/or Finance.

                                                                            • She/he will take a prima role in agile rapid labs and risk-reward strategy development to drive innovation and transformation throughout the Bank and Global Risk Management

                                                                            • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field

                                                                            • A demonstrated history of analytic problem solving and sound judgment, along with wworking experience prima and delivering complex risk analytics projects covering full credit life cycle

                                                                            • Strong central understanding of statistics. Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)

                                                                            • Working experience of machine learning and other Artificial intelligence techniques for strategy create

                                                                            • Ability to lead create thinking and conduct ideation work sessions in agile rapid lab environment.

                                                                            • Must possess financial management and effective resource management skills combined with excellent decision-making skills.

                                                                            • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of the retail credit functions are essential.

                                                                            • Good understanding Small Business Banking operations across all channels

                                                                            • Must have organizational know-how, strong social skills, and influence in order to promote acceptance of new credit risk management methodologies and obtain commitment from others to facilitate the achievement of risk management goals and objectives.

                                                                            • Must be able to articulate their viewpoint/opinions to all levels within Scotiabank, as well as to senior executives. The incumbent must be able to represent Scotiabank on risk management issues in a multitude of external venues (e.g., government regulators, banking committees, external auditors, industry associations, credit risk forums/roundtables, etc.).

                                                                            • +

                                                                              --

                                                                              +

                                                                              Would you like to further develop your career with our exponentially expanding Strategy, Risk & Transaction group? Are you up for the challenge to help the most sophisticated Canadian and international clients to solve their quantitative and modelling issues?

                                                                              +

                                                                              What will your typical day look like?

                                                                              +

                                                                              In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                                                              +

                                                                              As a senior associate providing fraud analytics service to our clients, you will lead in the development and validation of kiting fraud detection models for large financial institutions, which includes providing expertise in guiding and analyzing detection capabilities in terms of models, rules, alert management, etc. You will also lead to assess and evaluate the end-to-end kiting detection process, ensuring its production readiness and providing timely support.

                                                                              +

                                                                              You will also be able to learn and work in other quantitative and analytical areas such as forecasting and stress testing, customer behavior modeling, and new innovations such as machine learning, natural language processing, large language models and artificial intelligence.

                                                                              +

                                                                              About the team

                                                                              +

                                                                              Deloitte’s Strategy, Risk & Transaction practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                                                              +

                                                                              Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Financial Advisory at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

                                                                              +

                                                                              Enough about us, let’s talk about you

                                                                              +

                                                                              You are someone with:

                                                                              +
                                                                                +
                                                                              • Minimum 5 years of relevant experience in capacity of development and validation of fraud detection models.
                                                                              • +
                                                                              • Experience working with leading the development and validation of kiting fraud detection capabilities for financial institutions, including analyzing the detection capabilities in terms of models, rules, etc.
                                                                              • +
                                                                              • Experience working with developing and tuning under natural language processing (NLP) and large language models (LLM) framework.
                                                                              • +
                                                                              • Experience working on traditional regulatory (e.g. IFRS9, CCAR) credit and fraud risk models from machine learning and artificial intelligence modeling perspective.
                                                                              • +
                                                                              • Ability to program in pertinent languages, such as Python, SAS, R, Excel VBA, SQL, etc.
                                                                              • +
                                                                              • Proven ability in strong analytical and problem-solving skills, and comfortable meeting intensive deadlines.
                                                                              • +
                                                                              • Proven ability in excellent written and verbal business communication skills.
                                                                              • +
                                                                              • Solid academic background with a PhD or Master’s Degree in Mathematical Finance, Financial Engineering or other relevant post graduate degree.
                                                                              • +
                                                                              • Having or working towards Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is an asset.
                                                                              • +
                                                                              • Canadian travel required and occasional international travel. Candidates must be able to enter the USA to work on client assignments.
                                                                              -

                                                                              -

                                                                              Location(s): Canada : Ontario : Toronto

                                                                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Credit-Risk-Oversight-&-Analytics%2C-Small-Business-ON-M5H1B6/581842017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-11T16:33:03.601Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/328652242-director-credit-risk-oversight-analytics-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Credit-Risk-Oversight-&-Analytics%2C-Small-Business-ON-M5H1B6/581842017/,expired,2024-06-13T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -303d2a75-d51f-441e-963e-0c3a0829b35d,331195820,Thomson Reuters,Applied Scientist,on_site,"Ontario, Canada",2024-06-27T11:16:02.997Z,"
                                                                          JOB DESCRIPTION
                                                                          -
                                                                          -
                                                                          -

                                                                          Applied Scientist

                                                                          -

                                                                          -
                                                                          -

                                                                          Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

                                                                          -


                                                                          What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is responsible for designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for all of Thomson Reuters’ Research Products, including Westlaw, Practical Law, and Checkpoint.

                                                                          -


                                                                          As an Applied Scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research and engineering disciplines to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways. 

                                                                          +

                                                                          Total Rewards

                                                                          +

                                                                          The salary range for the Senior Associate position is $75,000 - $113,000 and $95,000 - $159,000 for the Manager position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          -

                                                                          About the role:

                                                                          -
                                                                          -

                                                                          In this opportunity as an Applied Scientist, you will:

                                                                          -

                                                                          -
                                                                          +

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          +

                                                                          Be yourself, and more.

                                                                          +

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          +

                                                                          You shape how we make impact.

                                                                          +

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          +

                                                                          Be the leader you want to be

                                                                          +

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          +

                                                                          Have as many careers as you want.

                                                                          +

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          +

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          +

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          +

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Senior-AssociateManager%2C-Fraud-Analytics-Financial-Engineering-&-Modeling-ON/1177688900/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-08-17T16:30:32.671Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/334451990-senior-associate-manager-fraud-analytics-financial-engineering-modeling-at-deloitte,,expired,2024-07-18T16:30:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, +400267cf-4040-437f-822b-f2dfc6f9c2ad,334453004,Deloitte,"Analyst/Senior Associate, Credit Risk Models - Financial Engineering & Modeling ",on_site,"Toronto, ON, Canada",2024-07-18T16:37:32.200Z,"

                                                                          Date: Jul 3, 2024

                                                                          +

                                                                          Location: Toronto, Ontario, Canada

                                                                          +

                                                                          Company: Deloitte

                                                                          +

                                                                          Job Type: Permanent
                                                                          Reference code: 126329
                                                                          Primary Location: Toronto, ON
                                                                          All Available Locations: Toronto, ON

                                                                          +

                                                                          +

                                                                          Our Purpose

                                                                          +

                                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                          +

                                                                          By living our Purpose, we will make an impact that matters.

                                                                            -
                                                                          • -Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery. -
                                                                          • -
                                                                          • -Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. -
                                                                          • -
                                                                          • -Deliver: You will be accountable for timely, well-managed deliverables. -
                                                                          • -
                                                                          • -Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges. -
                                                                          • -
                                                                          • -Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. -
                                                                          • +
                                                                          • Be encouraged to deepen your technical skills…whatever those may be.
                                                                          • +
                                                                          • Partner with clients to solve their most complex problems.
                                                                          • +
                                                                          • Experience MyFlex and an agile work environment where work is what you do not where you do it.
                                                                          • +
                                                                          +

                                                                          --

                                                                          +

                                                                          What will your typical day look like?

                                                                          +

                                                                          In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

                                                                          +


                                                                          Develop/validate/review Credit Risk models (e.g. AIRB, IFRS 9, CECL, adjudication/behavioural scoring models and CCAR models) based on industry best practices.

                                                                          +


                                                                          You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing, customer behavior modeling, and new innovations such as Machine Learning and Artificial Intelligence. You will also carry out various complex financial analyses including independent derivative evaluation, customer behavior modeling, and new innovations such as Machine Learning and Artificial Intelligence.

                                                                          +


                                                                          You will also carry out various complex financial analyses including independent derivative valuation.

                                                                          +

                                                                          About the team

                                                                          +

                                                                          Deloitte’s Financial Advisory practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

                                                                          +

                                                                          Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Financial Advisory at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

                                                                          +

                                                                          Enough about us, let’s talk about you

                                                                          +

                                                                          You are someone with:

                                                                          +
                                                                            +
                                                                          • Minimum 1-2 years of relevant experience spent within a credit risk model development or model validation team at a major financial institution
                                                                          • +
                                                                          • Solid academic background with a PhD or Master’s Degree in Mathematical Finance, Financial Engineering or other relevant post graduate degree
                                                                          • +
                                                                          • Solid knowledge of common practices in credit risk, including expected loss (PD, LGD, EAD) methodologies;
                                                                          • +
                                                                          • Solid knowledge of supervisory/regulatory requirements as it pertains to credit risk models, including IFRS 9
                                                                          • +
                                                                          • Ability to program in pertinent languages, such as Excel, SAS, R, and python
                                                                          • +
                                                                          • Canadian travel required
                                                                          +

                                                                          Total Rewards

                                                                          +

                                                                          The salary range for the Analyst position is $62,000 - $92,000 and $75,000 - $113,000 for the Senior Associate position, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          +

                                                                          +

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          +

                                                                          +

                                                                          Be yourself, and more.

                                                                          +

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          +

                                                                          You shape how we make impact.

                                                                          +

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          +

                                                                          Be the leader you want to be

                                                                          +

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          +

                                                                          Have as many careers as you want.

                                                                          +

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          +

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          +

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          +

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-AnalystSenior-Associate%2C-Credit-Risk-Models-Financial-Engineering-&-Modeling-%28Toronto%29-ON/1164897500/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2024-08-17T16:37:34.187Z,False,0,6,44,https://talenthub.vectorinstitute.ai/jobs/334453004-analyst-senior-associate-credit-risk-models-financial-engineering-modeling-at-deloitte,,expired,2024-07-18T16:37:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),,Masters Degree,New Posting, +4240c2a6-867f-4758-9ff3-cde4faf678f5,336149189,Thomson Reuters,"Senior Director, Data Enablement",on_site,"Ontario, Canada",2024-08-01T05:52:02.086Z,"
                                                                          JOB DESCRIPTION
                                                                          +
                                                                          +

                                                                          As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                                          -
                                                                          -
                                                                          -

                                                                          About you:

                                                                          -

                                                                          You are a fit for the Applied Scientist role if your background includes:

                                                                          -
                                                                          -

                                                                          -
                                                                          -

                                                                          Basic qualifications:

                                                                          +

                                                                          Our technology drives global markets and helps professionals worldwide make decisions that matter. As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Whether solving for today\'s challenges or tomorrow\'s aspirations, you will work with the industry\'s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world\'s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                                                                          +

                                                                          +

                                                                          About the Role :

                                                                          +

                                                                          +

                                                                          In this opportunity as Senior Director, Data Enablement, you will:

                                                                          +


                                                                          We are seeking a highly skilled and experience Senior Director, Data Enablement to lead our organization’s data operations, consent and privacy, synthetic and test data management. The ideal candidate will be responsible for executing and refining managing data risk, data governance operations and processes, developing third-party data management strategies, and ensuring compliance with data acquisition, storage, and processing requirements.

                                                                            -
                                                                          • PhD in a relevant discipline or Master’s plus a comparable level of experience.
                                                                          • -
                                                                          • At least one year industry experience building IR/NLP/ML systems
                                                                          • -
                                                                          • Solid software engineering skills for prototyping
                                                                          • -
                                                                          • Outstanding communication and data analysis skills
                                                                          • +
                                                                          • Implement and refine data governance frameworks in accordance with data policies set by compliance teams.
                                                                          • +
                                                                          • Employ a data risk-based approach to identify potential data risks, establish mitigation plans, and classify residual risk ratings for each data risk factor.
                                                                          • +
                                                                          • Develop and maintain a third-party data management strategy, incorporating industry best practices.
                                                                          • +
                                                                          • Oversee the operational aspects of data acquisition, storage, processing to ensure compliance with relevant regulations.
                                                                          • +
                                                                          • Define requirements for data environments both within and external to Thomon Reuter’s Data Platform.
                                                                          • +
                                                                          • Consent and Privacy Operations:
                                                                          • +
                                                                          • Translate established data privacy and governance policies into operational processes, focusing on the management of personal data.
                                                                          • +
                                                                          • Oversee the data consent process, ensuring proper collection, documentation, and tracking of consent for various program executions.
                                                                          • +
                                                                          • Handle privacy inquiries and requests in a timely manner, in accordance with program delivery guidelines.
                                                                          • +
                                                                          • Develop and maintain a comprehensive Record of Processing Activities (RoPA) consistent with personal data handling policies.
                                                                          • +
                                                                          • Ensure that data handling practices, including data residency, data sharing, comply with program-specific and regulatory requirements.
                                                                          • +
                                                                          • Synthetic and Test Data Management:
                                                                          • +
                                                                          • Facilitate and creation of synthetic data sets that closely mirror production data for testing and development purposes.
                                                                          • +
                                                                          • Formulate strategies for test data management, including the application of data masking and anonymization techniques.
                                                                          • +
                                                                          • Work in collaboration with data operations and platform teams to maintain consistency and reliability in test data environments.

                                                                          -

                                                                          Preferred qualifications:

                                                                          +

                                                                          About You

                                                                          +

                                                                          You’re a fit for the role of Senior Director, Data Enablement, if your background includes:

                                                                            -
                                                                          • 5+ years practical experience building IR, ML or NLP systems in academia or industry
                                                                          • -
                                                                          • Experience designing and implementing solutions with large language models
                                                                          • -
                                                                          • Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
                                                                          • -
                                                                          • -Advanced proficiency in Python, Java, or Scala -
                                                                          • -
                                                                          • -Experience writing production quality code and contributing to well-managed software delivery. -
                                                                          • +
                                                                          • Master’s degree in Business, Computer Science, Data Science, AI or a related field.
                                                                          • +
                                                                          • Proven experience in a senior data management role, preferably as a Senior Director or equivalent.
                                                                          • +
                                                                          • Strong understanding of data risk management and mitigation strategies, on a per data risk or harm-level.
                                                                          • +
                                                                          • Experience leading technical teams at the intersection of governance, automation, and model development, preferably in a global setting.
                                                                          • +
                                                                          • Experience with data privacy laws and regulations, and the ability to operationalize privacy policies.
                                                                          • +
                                                                          • Knowledge synthetic/test data creation and management, with a focus on data security and privacy.
                                                                          • +
                                                                          • Excellent leadership and communication skills, with the ability to collaborate across various business functions.
                                                                          • +
                                                                          • Excellent leadership, communication, and project management skills.
                                                                          • +
                                                                          • Experience with common cloud and reporting tooling (AWS, GCP, Azure, Tableau, PowerBI, OneTrust, etc.)
                                                                          • +
                                                                          • Ability to influence stakeholders across business functions for enterprise adopt and change management.
                                                                          • +
                                                                          • Strategic thinker with a problem-solving mindset.
                                                                          -
                                                                          -
                                                                          -

                                                                          -

                                                                          #LI-JF1

                                                                          -
                                                                          +

                                                                          #LI-LP2

                                                                          What\'s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                            @@ -69918,262 +70984,396 @@ Experience writing production quality code and contributing to well-managed soft

                                                                            Protect yourself from fraudulent job postings click here to know more.

                                                                            More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                            -
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ178362/Applied-Scientist?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-07-11T07:31:01.832Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/331195820-applied-scientist-at-thomson-reuters,,expired,2024-06-27T11:16:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, -7e7ef60a-b05f-4da2-b810-b5967c3fc636,333067540,CIBC,Data Scientist (12 month Secondment),on_site,"Ontario, Canada",2024-07-08T07:16:01.435Z,"
                                                                          -

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          -

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          -

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          What You’ll Be Doing

                                                                          +
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ181464/Senior-Director-Data-Enablement?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-08-19T05:57:03.435Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/336149189-senior-director-data-enablement-at-thomson-reuters,,expired,2024-08-01T05:52:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Masters Degree,New Posting, +ea40c661-b431-401b-9863-5f767b75226c,337230787,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2024-08-08T06:13:01.567Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          -

                                                                          The Advanced Analytics and AI team is the central hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest in big data technology platforms. We engage in collaborations with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent.

                                                                          -

                                                                          As a Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                                                                          -

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Do you have passion for data and solving complex business problems? Do you like making an impact on the business around you? If so, our Senior Data Analyst role is the right fit for you!

                                                                          -

                                                                          How You’ll Succeed

                                                                          -
                                                                            -
                                                                          • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                          • -
                                                                          • Trusted Analytical Partner: You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                                                                          • -
                                                                          • Ignite innovation, drive actions: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                                                                          • -
                                                                          +

                                                                          The Growth and Performance Marketing team within Sun Life’s Client Experience Office (CXO) has embarked on a major transformation. As part of this transformation, we are continuously launching and testing new ideas, platforms, and solutions to generate new leads and identify opportunities for existing clients and group members.

                                                                          -

                                                                          Who You Are

                                                                          -
                                                                            -
                                                                          • You can demonstrate experience in. predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                                                                          • -
                                                                          • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                          • -
                                                                          • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                                                                          • -
                                                                          -

                                                                          -

                                                                          What CIBC Offers

                                                                          -

                                                                          -

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                          -
                                                                            -
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • -
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • -
                                                                          -

                                                                          -

                                                                          *Subject to program terms and conditions

                                                                          -

                                                                          +

                                                                          As a senior data analyst on the Client Acquisition Analytics team, you will be part of a large analytics community and will be focused within the Growth and Performance Marketing business helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance, and triaging code and data-related issues.

                                                                          -

                                                                          What you need to know

                                                                          +

                                                                          You will be supporting several key initiatives that are tied to our vision of growing our client base, improving advisor lead conversion, supporting the Head Office lead Evolution program, monitoring of our key performance indicators and championing the Retail Leads Data Modernization.

                                                                          +

                                                                          To achieve this, we will be leveraging many systems across Sunlife, gathering requirements, engaging with subject matter experts, and creating reporting. All of this is to be able to tell the story of our clients’ journeys and gather insights to improve their experience.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                            -
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • -
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • -
                                                                          • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                          • +
                                                                          • Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
                                                                          • +
                                                                          • Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
                                                                          • +
                                                                          • Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
                                                                          • +
                                                                          • Ongoing support to uncover opportunities that will drive incremental sales.
                                                                          • +
                                                                          • Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
                                                                          • +
                                                                          • Provide support for annual business plan, monthly sales forecast, and insight analysis.
                                                                          • +
                                                                          • Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance. +
                                                                          • +
                                                                          • Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.

                                                                          -

                                                                          -

                                                                          Expected End Date

                                                                          2025-04-25

                                                                          -

                                                                          Job Location

                                                                          Toronto-81 Bay, 21st Floor

                                                                          -

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          -

                                                                          Weekly Hours

                                                                          37.5

                                                                          -

                                                                          Skills

                                                                          Big Data, Databricks Platform, Data Science, Data Visualization, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Data Modeling, Structured Query Language (SQL)
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--12-month-Secondment-_2406599?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-07-11T07:21:01.578Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/333067540-data-scientist-12-month-secondment-at-cibc,,expired,2024-07-08T07:16:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -8260ee55-05a0-474b-82c4-161746cd7804,333068854,Canadian Tire Corporation,Data Scientist,on_site,"Ontario, Canada",2024-07-08T07:41:01.360Z,"
                                                                          -

                                                                          What you’ll do

                                                                          -

                                                                          -

                                                                          We are the financial services division of one of Canada’s most trusted and recognized retailers in the country. It is our mandate to continue to create innovative financial solutions that our customers love. Our growing suite of products and services are a testament to the dynamic contributions of our employees and our continued focus on innovation. Our success is driven by a strong vision, loyal customers, and our ability to build teams that are reflective of the diverse customers and communities where we work and live.

                                                                          -

                                                                          -

                                                                          The mandate of the Customer Analytical Center of Excellence of Canadian Tire Bank is to provide world class analytics to maximize our credit card portfolio profitability by balancing risk with reward potential.

                                                                          -

                                                                          -

                                                                          In this role, you will:

                                                                          +

                                                                          What do you need to succeed?

                                                                            -
                                                                          • Analyze portfolio performance and translate results into actionable recommendations

                                                                          • -
                                                                          • Develop, maintain, support, and monitor IFRS 9 Expected Credit Loss and Stress Test models

                                                                          • -
                                                                          • Work closely with Finance and Credit Risk teams to apply a rounded understanding of the portfolio into the work you produce

                                                                          • -
                                                                          • Provide clear communication of analyses and results to key stakeholders and senior management

                                                                          • -
                                                                          • Manage multiple work assignments in a constantly changing business environment

                                                                          • +
                                                                          • +5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
                                                                          • +
                                                                          • +5 + years experience with SQL. Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
                                                                          • +
                                                                          • Experience of working with AWS data toolsets (eg: Glue, Redshift, SageMaker etc.) and knowledge of using Python/Pyspark
                                                                          • +
                                                                          • Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
                                                                          • +
                                                                          • Strong partnering approach with a commitment to meeting business partners\' unique needs and expectations.
                                                                          • +
                                                                          • In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
                                                                          • +
                                                                          • Comfortable learning new applications and processes quickly with minimal direction
                                                                          • +
                                                                          • Ability to document work.

                                                                          -

                                                                          What you bring

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • University degree in a quantitative discipline, Mathematics, Statistics, preferred

                                                                          • -
                                                                          • 3+ years of relevant experience in a predictive modeling, data analytics, or data science role

                                                                          • -
                                                                          • Proven ability to program in pertinent languages, including SAS, SQL, Excel

                                                                          • -
                                                                          • Proven ability to translate business needs into statistically sound solutions, and vice versa

                                                                          • -
                                                                          • Big picture thinking: Ability to step back and understand impacts on a larger scale

                                                                          • -
                                                                          • Strong written and oral communication skills when presenting analytical results to business stakeholders

                                                                          • +
                                                                          • 2 years+ experience in Data visualization / dashboarding with Tableau or equivalent
                                                                          • +
                                                                          • Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, forecasting etc.)
                                                                          • +
                                                                          • Experience in Salesforce
                                                                          • +
                                                                          • MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
                                                                          • +
                                                                          • Additional statistical programming languages (i.e SAS/R)
                                                                          • +
                                                                          • Advanced user of MS Excel and MS Access

                                                                          -

                                                                          Nice to Have

                                                                          +

                                                                          Unique Requirement?

                                                                            -
                                                                          • Knowledge of IFRS9 and Expected Credit Loss (PD, LGD, EAD methodologies)

                                                                          • -
                                                                          • Knowledge of Credit Risk Management

                                                                          • -
                                                                          • Knowledge of Macroeconomic Stress Testing

                                                                          • +
                                                                          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                                                          • +
                                                                          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                                                          -

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          -

                                                                          -

                                                                          -

                                                                          #LI-GS1

                                                                          -

                                                                          About Us

                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                            +
                                                                          • We’re proud to be a Best Workplace for Hybrid Work by Great Place to Work® Canada
                                                                          • +
                                                                          • Recognized in 2023 with the Most Trusted Executive team by Great Place to Work® Canada.
                                                                          • +
                                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
                                                                          • +
                                                                          • Flexible Benefits from the day you join to meet the needs of you and your family.
                                                                          • +
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security.
                                                                          • +
                                                                          • Flexible hybrid work model including work-from-home if you prefer.
                                                                          • +
                                                                          • Care Days are available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.
                                                                          • +
                                                                          • Our unique Sabbatical Program gives you the opportunity to take up to 6 weeks off, every five years.
                                                                          • +
                                                                          • An environment of continuous learning and improvement with a friendly, collaborative and inclusive culture.
                                                                          • +

                                                                          -

                                                                          At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there\'s a place for you here.

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -

                                                                          Accommodations

                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          -

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          +

                                                                          Salary Range:

                                                                          76,000/76 000 - 125,000/125 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          15/08/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00096069?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-08-19T06:18:01.913Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/337230787-senior-data-analyst-at-sun-life-financial,,expired,2024-08-08T06:13:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +cb227136-5a3b-4b7a-b908-a8576d78a460,336800448,RBC,"Senior Data Engineer, GFT",on_site,"Toronto, ON, Canada",2024-08-05T07:49:02.652Z,"
                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

                                                                          +

                                                                          Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

                                                                          +


                                                                          This is a newly created position working on our regulatory project - RM (Risk Modernization), under GFT Programs. The primary focus of this role is to act as a an experienced developer - covering design, implementation and support of the RM applications, namely Aggregation of Market Risk and Market Data Shocks and Scenarios generation. Additional focus will be to work with other internal application development teams.

                                                                          Will be responsible in developing, coding, testing and debugging new software or making significant improvements to existing software. Must be self-motivated and able to work with minimum supervision.

                                                                          Must Have:

                                                                          +
                                                                            +
                                                                          • 2+ years application development experience in Hadoop, Spark and Java/Scala.

                                                                          • +
                                                                          • 4-5 years application development experience in Java and Spring Framework

                                                                          • +
                                                                          • 1 -2 years of working in Cloud environment – AWS, Azure

                                                                          • +
                                                                          • Some programming experience in Python (1-2years)

                                                                          • +
                                                                          • Working knowledge of Jenkins CI, Git, CI/CD pipelines

                                                                          • +
                                                                          • Ability to work with multiple stakeholders – business and technical

                                                                          • +
                                                                          • Self-motivated, independent thinker

                                                                          • +

                                                                          -
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Oakville-ON/Data-Scientist_JR132709?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-07-15T05:58:02.979Z,False,0,12,46,https://talenthub.vectorinstitute.ai/jobs/333068854-data-scientist-at-canadian-tire-corporation,,expired,2024-07-08T07:41:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -50fdd409-63da-465e-9ee4-ab0140157f81,331856786,Sun Life Financial,"Director, Finance Data Analytics",on_site,"Ontario, Canada",2024-07-01T07:45:01.944Z,"
                                                                          -

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          Nice to Have

                                                                          +
                                                                            +
                                                                          • Experience in building end to end data pipelines on AWS/Azure and/or Databricks

                                                                          • +
                                                                          • Proven hands-on experience in containerization – Docker, Kubernetes, Openshift etc.

                                                                          • +
                                                                          • Knowledge in Market Risk/Capital Markets/Banking.

                                                                          • +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • +
                                                                          • Ability to make a difference and lasting impact

                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • +
                                                                          • A world-class training program in financial services.

                                                                          • +
                                                                          • Opportunities to do challenging work

                                                                          • +
                                                                          • Opportunities to take on progressively greater accountabilities

                                                                          • +
                                                                          • Opportunities to building close relationships with clients

                                                                          • +
                                                                          • Access to a variety of job opportunities across business and geographies.

                                                                          • +

                                                                          -

                                                                          Job Description:

                                                                          +

                                                                          #LI-Post

                                                                          +

                                                                          #LI-Hybrid

                                                                          +

                                                                          #LI-PK

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Amazon Redshift, Apache Hadoop, Apache Spark, AWS Cloud Computing, Big Data Management, Cloud Computing, Data Warehouse Development, Docker (Software), Java, Kubernetes, Microservices Architecture, Microsoft Azure, Microsoft Azure Databricks, Python (Programming Language), Red Hat OpenShift, Requirements Analysis, Scala (Programming Language), Snowflake (Platform), Spring Framework

                                                                          +

                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-04-22

                                                                          Application Deadline:

                                                                          2024-08-30

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000085616/Senior-Data-Engineer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-08-19T07:54:01.841Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/336800448-senior-data-engineer-gft-at-rbc,,expired,2024-08-05T07:49:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +22d08d43-0f28-448b-9b33-edcd3a9778a0,339051873,Google,"Staff Software Developer, Front End, Applied AI",on_site,"Toronto, ON, Canada",2024-08-22T05:54:02.222Z,"
                                                                          +
                                                                          +

                                                                          Staff Software Developer, Front End, Applied AI

                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          +
                                                                          +

                                                                          Minimum qualifications:

                                                                          +
                                                                            +
                                                                          • Bachelor\'s degree or equivalent practical experience.
                                                                            +
                                                                          • +
                                                                          • 8 years of experience in software development, and with data structures/algorithms.
                                                                            +
                                                                          • +
                                                                          • 5 years of experience with front-end frameworks, full-stack development, or API development.
                                                                            +
                                                                          • +
                                                                          • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
                                                                            +
                                                                          • +
                                                                          • Experience with Large Language Models, NLP, or Generative AI.
                                                                            +
                                                                          • +
                                                                          +

                                                                          Preferred qualifications:

                                                                          +
                                                                            +
                                                                          • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
                                                                            +
                                                                          • +
                                                                          • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
                                                                            +
                                                                          • +
                                                                          • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
                                                                            +
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          About the job

                                                                          +

                                                                          Google Cloud\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                                                          +

                                                                          Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                                                          +
                                                                          +
                                                                          +

                                                                          Responsibilities

                                                                          +
                                                                            +
                                                                          • Provide technical leadership on high-impact projects.
                                                                            +
                                                                          • +
                                                                          • Influence and coach a distributed team of developers.
                                                                            +
                                                                          • +
                                                                          • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
                                                                            +
                                                                          • +
                                                                          • Manage project priorities, deadlines, and deliverables.
                                                                            +
                                                                          • +
                                                                          • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
                                                                            +
                                                                          • +
                                                                          +
                                                                          +
                                                                          +

                                                                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                          +

                                                                          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                          +

                                                                          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                          +

                                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                          +

                                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                          +
                                                                          +
                                                                          ",,https://www.google.com/about/careers/applications/jobs/results/102875600573604550-staff-software-developer-front-end-applied-ai?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-08-29T16:03:03.112Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/339051873-staff-software-developer-front-end-applied-ai-at-google,,expired,2024-08-22T05:54:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +916cc2be-86f3-4297-9589-49ca31926bcc,339491884,Thomson Reuters,Ld Research Engineer,on_site,"Ontario, Canada",2024-08-26T05:52:02.000Z,"
                                                                          JOB DESCRIPTION
                                                                          +
                                                                          +
                                                                          Lead Research Engineer
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Do you love creating innovative solutions for customers?

                                                                          -

                                                                          Role Summary

                                                                          +

                                                                          We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers. 

                                                                          -

                                                                          As part of our journey to modernize and drive efficiencies across the Finance function, the Finance Data and Analytics team within Enterprise Finance plays an important role being responsible for finance data governance, digital management reporting including the effective use of BI tools, the supporting underlying data storage and integrity, and business data models.

                                                                          +

                                                                          What does Thomson Reuters Labs do?

                                                                          -

                                                                          As a member of the Finance Data and Analytics team, reporting to the AVP Finance Data and Analytics, the Director, Finance Data Analytics will be key in bringing Enterprise Finance’s Analytics Strategy to life and further enabling a data insights driven culture. This role will be crucial in driving consistency, quality and reducing redundancies across Finance, while leveraging tools and technology to automate activities and digitize self serve analytics.

                                                                          +

                                                                          We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

                                                                          +

                                                                          +

                                                                          As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.

                                                                          -

                                                                          The Director, Finance Data Analytics, will be responsible for leading a team to deliver Finance’s data analytics projects, including workstream management, problem definition and structuring, collaboration, and leadership of cross-functional teams, providing updates, and timely execution of deliverable. They will seek opportunities to gain value from the data and underlying data architecture (post IFRS 17 SunRise project) to advance and improve our use of data towards broader finance insights and analytics.

                                                                          +

                                                                          Is this you? Come join us! 

                                                                          -

                                                                          What will you do?

                                                                          +

                                                                          About the Role:

                                                                          +

                                                                          In this opportunity as a Lead Research Engineer, you will: 

                                                                            -
                                                                          • Create alignment with other areas of the global Finance organization on a set of consistent practices, capabilities, and standards in how we gain data insights within Finance.

                                                                          • -
                                                                          • Provide input to data strategy and processes, including intake, new data sources, database design and structure and data integrity that enables broad use of data analytics in Finance

                                                                          • -
                                                                          • Partner with Technology (DBTS) in supporting the deployment of effective data analytics and data science solutions.

                                                                          • -
                                                                          • Establish collaborative relationships with various internal and external partners to implement best practices.

                                                                          • +
                                                                          • +Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
                                                                          • +
                                                                          • +Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
                                                                          • +
                                                                          • +Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.
                                                                          • +
                                                                          • +Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                                                          • +
                                                                          • +Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. 
                                                                          • +
                                                                          • +Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. 
                                                                          • +
                                                                          • +Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  
                                                                          +

                                                                          +

                                                                          About You:

                                                                          +

                                                                          You are a fit for the Lead Research Engineer role if your background includes:

                                                                          +

                                                                          +

                                                                          Essential skills & experience:

                                                                            -
                                                                          • Oversee, in partnership with Digital Business Technology and Solutions (DBTS), the development, production, and support of Enterprise Finance analytics.

                                                                          • -
                                                                          • Identify and prioritize new use cases, including predictive analytics, advanced analytics and GenAI use-cases, in partnership with the Finance stakeholders.

                                                                          • -
                                                                          • Work with stakeholders to understand the needs, uses, and data flows in their area.

                                                                          • -
                                                                          • Manage and oversee to securely integrate high-quality data and make it accessible to users

                                                                          • -
                                                                          • Collaborate and partner with DBTS to build out technical capabilities and consistent practices

                                                                          • -
                                                                          • Work closely with the Finance business areas and product owners to gather requirements and other use cases, and implement solutions that will reduce redundancies, improve transparency, and increase efficiencies

                                                                          • -
                                                                          • Leverage Tableau (Business Intelligence (BI) tool) and other technologies to unify multiple data sources, automate and improve operational efficiencies, and drive for the delivery of self-serve rich “blink and think” visuals that can be easily shared and developed

                                                                          • -
                                                                          • Adopt an agile development methodology to deliver analytics

                                                                          • -
                                                                          • Maintain an understanding of external developments, disseminate to the Finance organization, and identify opportunities for emerging technologies and trends in the data analytics space

                                                                          • -
                                                                          • Prepare and present materials for senior management and other key stakeholders with recommendations and progress updates

                                                                          • -
                                                                          • Foster a culture of ownership, innovation, and continuous improvement

                                                                          • +
                                                                          • A Bachelors Degree in Computer Science or Related Field.
                                                                          • +
                                                                          • At least 7 years software engineering experience.
                                                                          • +
                                                                          • At least 3 years working on a Machine Learning related product or solution.
                                                                          • +
                                                                          • Have exposure to building end-to-end ML projects, including deployments and metrics.
                                                                          • +
                                                                          • Have experience leading technical workstreams within a software engineering organization.
                                                                          • +
                                                                          • Are skilled and have a deep understanding of Python software development stacks and ecosystems.
                                                                          • +
                                                                          • Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
                                                                          • +
                                                                          • Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
                                                                          • +
                                                                          • Take pride in writing clean, reusable, maintainable and well-tested code.
                                                                          • +
                                                                          • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
                                                                          • +
                                                                          • Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
                                                                          • +
                                                                          • Have a desire to learn and embrace new and emerging technology.
                                                                          • +
                                                                          • Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
                                                                          • +
                                                                          • Have experience leading and/or mentoring teams.
                                                                          • +
                                                                          • Have experience providing guidance around roadblocks for team.
                                                                          • +
                                                                          • Have experience providing updates to internal stakeholders.

                                                                          -

                                                                          Team Leadership:

                                                                          +

                                                                          Preferred skills & experience:

                                                                            -
                                                                          • Lead, coach, and develop a high-performing team, specialized in building, implementing and operating data analytics, both direct reports and cross-functional extended team

                                                                          • -
                                                                          • Provide professional development and mentorship to data scientists, data engineers and BSAs, ensure engagement and attract talent

                                                                          • +
                                                                          • +Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
                                                                          • +
                                                                          • Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
                                                                          • +
                                                                          • Have been successfully taking and integrating Machine Learning solutions to production-grade software
                                                                          • +
                                                                          • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)

                                                                          -

                                                                          What you will need to succeed?

                                                                          +

                                                                          #LI-JF1

                                                                          +
                                                                          +

                                                                          +

                                                                          What\'s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                            -
                                                                          • 7+ years relevant business experience in data science/ advanced analytics, data engineering, strategy, governance, ideally as a practitioner within data and/or analytics

                                                                          • -
                                                                          • Expertise in Analytics life-cycle and best practices for developing, testing, rolling out, operating and maintaining a portfolio of data analytics

                                                                          • -
                                                                          • Technical expertise with mathematical algorithms, libraries, Python or other coding languages, as well as AWS/ tools enabling prototyping or operating such analytics

                                                                          • -
                                                                          • Strong understanding of data architecture, relational databases (MS SQL), MS Office

                                                                          • -
                                                                          • Ability to translate business requirements to technology requirements and vice versa

                                                                          • -
                                                                          • Knowledge of data privacy and security practices relevant to the Financial Services industry

                                                                          • -
                                                                          • Strong results-oriented project management skills – well-organized, with strong attention to detail and quality

                                                                          • -
                                                                          • Excellent oral and written communication, and presentation skills, catering to various levels of management and audience with varying degrees of subject matter comprehension

                                                                          • -
                                                                          • Excellent negotiation and collaboration skills

                                                                          • -
                                                                          • Proven ability to influence the performance of others to deliver results

                                                                          • -
                                                                          • Proactive and self-motivated with strong problem solving, organizational skills and sound decision-making ability

                                                                          • -
                                                                          • Technology collaborator, building close partnership with technology teams to deliver solutions

                                                                          • +
                                                                          • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                          • +
                                                                          • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                          • +
                                                                          • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                          • +
                                                                          • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                          • +
                                                                          • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                          • +
                                                                          • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          -

                                                                          What will be nice to have?

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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                                                                          +

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

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                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          +
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ179087/Ld-Research-Engineer?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-08-29T16:01:04.732Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/339491884-ld-research-engineer-at-thomson-reuters,,expired,2024-08-26T05:52:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +1f703345-7f9b-43e7-a35e-f322ff3e7a8c,338160101,BMO Financial Group,"Senior Analyst, Credit Risk Analytics",on_site,"Ontario, Canada",2024-08-15T07:38:19.886Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          08/26/2024

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Supports the research and development of stress testing and scenario analysis methodologies and related strategies in support of the management of risks arising from changes in the market and external environment for business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop models, methodologies and supplementary stress testing tools and infrastructures that assess the impact of a stress on risk capital and ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. defining tolerance for adverse outcomes, capital modelling, assess capital and liquidity, recovery actions, portfolio and risk management strategies and tactics.

                                                                            -
                                                                          • Advanced degree in Computer Science, Data Science, Engineering, Mathematics or related discipline

                                                                          • -
                                                                          • Experience in financial services, preferably in the Finance and/or Actuarial field

                                                                          • -
                                                                          • Understanding of and experience in operating in an Agile model

                                                                          • -
                                                                          • Knowledge of multi-platform data environments and data architecture

                                                                          • +
                                                                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                                                          • +
                                                                          • Provides advice and guidance to assigned business/group on implementation of solutions.

                                                                          • +
                                                                          • Assists with the interpretation of new or changing regulations and assessing impacts to the governance frameworks.

                                                                          • +
                                                                          • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.

                                                                          • +
                                                                          • Helps determine business priorities and best sequence for execution of business/group strategy.

                                                                          • +
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.

                                                                          • +
                                                                          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.

                                                                          • +
                                                                          • Manages databases and provides support for analysis, forecasting and/or data visualization, ensuring adherence with data governance standards.

                                                                          • +
                                                                          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

                                                                          • +
                                                                          • Leads or participates in defining the communication plan designed to positively influence or change behaviour; develops tailored messaging; and identifies appropriate distribution channels.

                                                                          • +
                                                                          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the stress testing and scenario analysis program to various internal & external stakeholder audiences.

                                                                          • +
                                                                          • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcomes; models and frames business scenarios which impact critical business processes and/or decisions.

                                                                          • +
                                                                          • Administers and evaluates changes to stress scenarios and / or model parameters in response to changes in the market and the external environment.

                                                                          • +
                                                                          • Identifies where corrective actions are required and escalates per guidelines; ensures corrective action is taken as necessary.

                                                                          • +
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

                                                                          • +
                                                                          • Consults with stakeholders to improve consistency and transparency of risk measurement, metrics and reporting.

                                                                          • +
                                                                          • Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.

                                                                          • +
                                                                          • Supports the management of governance meetings (e.g. committee, management, board meetings, etc.) as required; facilitates development and approval of agendas, gathering and distribution of documentation related to agendas, and creation of meeting minutes/output.

                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders.

                                                                          • +
                                                                          • Ensures alignment between stakeholders.

                                                                          • +
                                                                          • Analyzes data and information to provide insights and recommendations

                                                                          • +
                                                                          • Monitors and tracks performance; addresses any issues.

                                                                          • +
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.

                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                                                          • +
                                                                          • Works independently on a range of complex tasks, which may include unique situations.

                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                          -

                                                                          -

                                                                          What’s in it for you?

                                                                          +

                                                                          Qualifications:

                                                                            -
                                                                          • ​A friendly, collaborative and inclusive culture

                                                                          • -
                                                                          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                                                          • -
                                                                          • Competitive salary and bonus structure influenced by market range data

                                                                          • -
                                                                          • The opportunity to move along a variety of career paths with amazing networking potential

                                                                          • -
                                                                          • Pension, stock and savings programs to help build and enhance your future financial security

                                                                          • -
                                                                          • Great Place to Work® Certified for Most Trusted Executive Team in Canada – 2024 and 2023

                                                                          • -
                                                                          • Great Place to Work® Certified for Best Workplaces in Canada – 2024 and 2022

                                                                          • -
                                                                          • Great Place to Work® Certified for Best Workplaces for Women in Canada - 2023

                                                                          • +
                                                                          • Typically between 2-4 years of relevant experience and post-secondary degree in related field of study (or a STEM field) or an equivalent combination of education and experience.

                                                                          • +
                                                                          • Knowledge and understanding of stress testing and scenario analysis methodologies and frameworks is a bonus.

                                                                          • +
                                                                          • Proficiency in statistical/numerical software.

                                                                          • +
                                                                          • Strong programming skills and experience in multiple programming languages (Python and/or pyspark knowledge is an asset).

                                                                          • +
                                                                          • Experience in quantitative risk modeling, calculation of Regulatory and Economic Capital is a bonus.

                                                                          • +
                                                                          • Technical proficiency gained through education and/or business experience.

                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.

                                                                          • +
                                                                          • Collaboration & team skills - In-depth.

                                                                          • +
                                                                          • Analytical and problem-solving skills - In-depth.

                                                                          • +
                                                                          • Influence skills - In-depth.

                                                                          • +
                                                                          • Data driven decision making - In-depth.

                                                                          +

                                                                          -

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          -

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          -

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -

                                                                          -

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          -

                                                                          -

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          -

                                                                          Salary Range:

                                                                          105,000/105 000 - 175,000/175 000

                                                                          -

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          -

                                                                          Posting End Date:

                                                                          14/07/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Finance-Data-Analytics_JR00095837?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-07-15T06:08:03.349Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/331856786-director-finance-data-analytics-at-sun-life-financial,,expired,2024-07-01T07:45:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -8ecd79fe-f579-462e-9efc-715e9cdf1c31,327936969,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-06-09T16:41:01.614Z,"
                                                                          -
                                                                          Who are we?
                                                                          -
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          -

                                                                          -
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          -

                                                                          -
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          -

                                                                          -
                                                                          Join us on our mission and shape the future!
                                                                          -

                                                                          -
                                                                          Why this role?
                                                                          -
                                                                          Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                                                                          -

                                                                          -
                                                                          -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. -
                                                                          -
                                                                          -

                                                                          As a Member of Technical Staff, you will:

                                                                          -
                                                                              -
                                                                            • Design, build and scale AI systems for serving our users.
                                                                            • -
                                                                            • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                                                                            • -
                                                                            • Learn from and work with the best researchers in the field.
                                                                            • -
                                                                          -
                                                                          -

                                                                          You may be a good fit if you have:

                                                                          -
                                                                              -
                                                                            • Extremely strong software engineering skills.
                                                                            • -
                                                                            • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                                            • -
                                                                            • Experience writing kernels for GPUs using CUDA.
                                                                            • -
                                                                            • Experience training on TPUs.
                                                                            • -
                                                                            • Experience using large-scale distributed training strategies.
                                                                            • -
                                                                            • Familiarity with autoregressive sequence models, such as Transformers.
                                                                            • -
                                                                            • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                                            • -

                                                                              -
                                                                              * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                              -
                                                                          -
                                                                          -

                                                                          -

                                                                          -
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          -

                                                                          -
                                                                          -We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. -
                                                                          -

                                                                          -
                                                                          Our Perks:
                                                                          -
                                                                          🤝 An open and inclusive culture and work environment
                                                                          -
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          -
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          -
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          -
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          -
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          -
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          -
                                                                          ✈️ 6 weeks of vacation
                                                                          -

                                                                          -
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          -
                                                                          ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-07-10T16:01:09.335Z,False,0,5,60,https://talenthub.vectorinstitute.ai/jobs/327936969-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-06-09T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, -7083b266-4c33-4605-90d6-c78a52d7878f,337369985,TD Bank Group,"Manager, Data Scientist",on_site,"Toronto, ON, Canada",2024-08-08T20:49:59.249Z,"

                                                                          Work Location:

                                                                          +

                                                                          Salary:

                                                                          +
                                                                          $54,500.00 - $101,500.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Credit-Risk-Analytics_R240021253?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-08-29T17:47:03.039Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/338160101-senior-analyst-credit-risk-analytics-at-bmo-financial-group,,expired,2024-08-15T07:38:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +98796877-4823-4c15-b7bd-ae3ae157e08f,339078037,TD Bank Group,Senior Machine Learning Scientist (Layer 6),hybrid,"Toronto, ON, Canada",2024-08-22T19:25:47.772Z,"

                                                                          Work Location:

                                                                          Canada

                                                                          Hours:

                                                                          @@ -70184,57 +71384,46 @@ Experience writing production quality code and contributing to well-managed soft

                                                                          Pay Details:

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          -

                                                                          -

                                                                          +


                                                                          Job Description:

                                                                          -

                                                                          Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

                                                                          +

                                                                          Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                                                          -

                                                                          KEY ACCOUNTABILITIES

                                                                          +

                                                                          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 - Visual Relationship (winner in 2019).

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          As a machine learning scientist, you will:

                                                                            -
                                                                          • Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
                                                                          • -
                                                                          • Work closely with business owners to identify opportunities and serve as an ambassador for data science
                                                                          • -
                                                                          • Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
                                                                          • -
                                                                          • Design and deliver enterprise analytic solutions to our customers
                                                                          • -
                                                                          • Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
                                                                          • -
                                                                          • Build complex statistical models that learn from and scale to petabytes of data.
                                                                          • -
                                                                          • Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
                                                                          • -
                                                                          • Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
                                                                          • -
                                                                          • Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
                                                                          • -
                                                                          • Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
                                                                          • -
                                                                          • Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
                                                                          • -
                                                                          • Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
                                                                          • -
                                                                          • Be comfortable working through ambiguity and help make informed decisions
                                                                          • -
                                                                          • Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
                                                                          • -
                                                                          • Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
                                                                          • -
                                                                          • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
                                                                          • -
                                                                          • Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
                                                                          • -
                                                                          • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                                                                          • -
                                                                          • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
                                                                          • +
                                                                          • Design and implement cutting-edge machine learning models to solve business problems with large scale impact.
                                                                          • +
                                                                          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                                                                          • +
                                                                          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                                                                          • +
                                                                          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                                                                          • +
                                                                          • Collaborate closely with business partners, product and engineering teams in a fast-paced environment and see your solutions deployed to production.
                                                                          • +
                                                                          • Stay up-to-date with the latest advances in machine learning and apply them to solve real-world problems.

                                                                          -

                                                                          BREADTH & DEPTH

                                                                          +

                                                                          Job Requirements:

                                                                          +

                                                                          Required Qualifications

                                                                            -
                                                                          • Deliver advanced analytical capabilities above and beyond existing methods
                                                                          • -
                                                                          • Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
                                                                          • -
                                                                          • Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
                                                                          • +
                                                                          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                                                                          • +
                                                                          • Strong background in machine learning
                                                                          • +
                                                                          • 5+ years of research experience with publication record
                                                                          • +
                                                                          • Proven track record of applying machine learning to solve real-world problems
                                                                          • +
                                                                          • Highly accountable and have a strong sense of ownership
                                                                          -

                                                                          -

                                                                          EXPERIENCE & EDUCATION

                                                                          +

                                                                          Preferred Qualifications

                                                                            -
                                                                          • Undergraduate degree or technical certificate
                                                                          • -
                                                                          • 5+ years of relevant experience
                                                                          • -
                                                                          • Comfortable and experienced with advanced coding (Python, pyspark preferred)
                                                                          • +
                                                                          • Experience with deep learning and/or collaborative filtering
                                                                          • +
                                                                          • Hands on experience in software systems development and SaaS applications
                                                                          • +
                                                                          • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                                                                          • +
                                                                          • Experience using GPUs for accelerated deep learning training
                                                                          • +
                                                                          • Familiarity with AWS
                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          Who We Are:

                                                                          TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          -

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                          Additional Information:
                                                                          We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                          Colleague Development
                                                                          If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                          @@ -70244,166 +71433,216 @@ Experience writing production quality code and contributing to well-managed soft


                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          Language Requirement:

                                                                          -

                                                                          N/A.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Data-Scientist-II_R_1359020?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-03T18:30:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/337369985-manager-data-scientist-at-td-bank-group,,expired,2024-08-08T20:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f2fa92b1-048b-45ca-9e6e-3797e5cd208d,339078059,TD Bank Group,AI/ML Business Management Analyst,on_site,"Toronto, ON, Canada",2024-08-22T19:28:00.463Z,"

                                                                          Work Location:

                                                                          -

                                                                          Canada

                                                                          -

                                                                          -

                                                                          Hours:

                                                                          -

                                                                          37.5

                                                                          -

                                                                          -

                                                                          Line of Business:

                                                                          -

                                                                          Data & Analytics

                                                                          -

                                                                          -

                                                                          Pay Details:

                                                                          -

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          -


                                                                          -

                                                                          Job Description:

                                                                          -

                                                                          Department Overview
                                                                          What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data. As part of the Layer 6's Product and Strategy team, you'll be at the heart of driving AI and machine learning to life for our teams, customers, and colleagues.
                                                                          TD's vision for the future? Hyper-personalized banking experiences via machine learning for every single customer. If you've been in business as long as we have, you know there's no such thing as one size fits all, and a diverse, inclusive AI/ML team is a massive part of that future achievement.
                                                                          Job Description
                                                                          In partnership with the AI/ML Business Managers, you will work with Layer 6 leadership team, Layer 6 team members and other stakeholders in:
                                                                          1. Preparing strategy and other presentations and memos for Sr executives
                                                                          2. Performing use case delivery portfolio governance, oversight and support
                                                                          • Conducting analysis for standards compliance and for surfacing risks/issues
                                                                          • Engaging with Product Owners to clarify delivery statuses and to address any issues
                                                                          • Producing weekly portfolio /use case /resource reporting
                                                                          • Assist with JIRA & Clarity record setup, updates and management
                                                                          3. Helping to define, mature, formalize, document and maintain Layer 6's operational processes, guides and procedures, including formalizing enablement pod engagement / interaction
                                                                          4. Managing, maintaining and administering group artifact / file repositories and sites (Confluence, Teams, SharePoint)
                                                                          5. Supporting Layer 6 group financial planning and management
                                                                          • Managing monthly Clarity forecasts, and tracking/reporting financial actuals and outlooks
                                                                          • Providing resource allocation support
                                                                          • Assisting with expense tracking, payment processing and financial reporting
                                                                          6. Planning and chairing weekly Layer 6 steering meetings and other key meetings as required
                                                                          7. Leading / supporting various Layer 6 operational and governance-related initiatives and activities

                                                                          Qualifications
                                                                          1. Working knowledge of AI/ML delivery processes
                                                                          2. Experience working in and navigating a large matrix organization
                                                                          3. Experience with business / technology project delivery and governance (using waterfall and agile methodologies), and has a good working knowledge of project delivery principles, practices, techniques, and tools (Jira, Clarity) – 3+ years
                                                                          4. Business analysis experience (requirements solicitation, process modeling, policy / procedural documentation, cost and value estimation/assessment, etc.) - 3+ years
                                                                          5. Experience with financial planning / management (nice-to-have)
                                                                          6. A self-starter eager to take on different types of assignments who is comfortable with ambiguity and has a problem-solving mindset
                                                                          7. Strong collaboration and communication skills to help uncover stakeholder needs and motivations, influence and secure the cooperation of key resources, resolve conflicts and negotiate positive outcomes
                                                                          8. Adaptable to a variety of situations, individuals or groups. Understands and appreciates different and opposing perspectives
                                                                          9. Resilient under pressure and tight timelines
                                                                          10. Working knowledge of productivity and BI tools (MS Office PC software applications - Excel, Word, PowerPoint, Project, Visio; Tableau)
                                                                          11. Experience in the Financial Services sector is an asset
                                                                          12. Experience working for a consultancy is an asset
                                                                          13. Relevant university degree or equivalent work experience
                                                                          14. 4+ years of work experience

                                                                          +

                                                                          N/A.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Senior-Machine-Learning-Scientist--Layer-6-_R_1355180?jobFamilyGroup=de76965296350195765906b50704e3ab&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-08-29T19:53:00.000Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/339078037-senior-machine-learning-scientist-layer-6-at-td-bank-group,,expired,2024-08-22T19:25:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +dd6d5bc3-47fa-4e80-867d-08591ae8b2eb,328643871,Thomson Reuters,"Senior Director, AI Enablement",on_site,"Toronto, ON, Canada",2024-06-13T15:27:22.460Z,"

                                                                          Senior Director, AI Enablement

                                                                          We are seeking a highly skilled and experience Senior Director of AI Enablement, within the Responsible AI team under Data and Analytics, you will champion the development of a culture that values responsible AI across the enterprise.

                                                                          +

                                                                          The responsible AI team is a centralized function to support all business functions across the enterprise in ensuring governance and ethics within their data and AI assets.

                                                                          +

                                                                          The Senior Director, AI Enablement, you will provide oversight of AI risk management processes and collaborate closely with cross-functional teams to embed governance considerations into the AI lifecycle.

                                                                          +

                                                                          Your leadership will ensure that AI models are monitored for responsible considerations and that our business functions are equipped for responsible AI development and deployment practices

                                                                          About the Role
                                                                          In this opportunity as Senior Director, AI Enablement, you will:

                                                                          +
                                                                            +
                                                                          • Implement responsible AI practices, guidelines, and principles into program initiatives
                                                                          • +
                                                                          • Foster a culture that prioritizes responsible AI and governance
                                                                          • +
                                                                          • Monitor AI models and applications for responsible considerations
                                                                          • +
                                                                          • Lead a high-performing team of responsible AI partners and experts
                                                                          • +
                                                                          • Automate AI risk management processes and develop mitigation plans
                                                                          • +
                                                                          • Serve as a liaison between business functions for responsible AI practices
                                                                          • +
                                                                          • Design and implement data and AI integrations to support program objectives
                                                                          • +
                                                                          +


                                                                          About You
                                                                          You're a fit for the role of Senior Director, AI Enablement if your background includes:

                                                                          +
                                                                            +
                                                                          • Master’s degree in Data Science, Computer Science, AI, or a related field
                                                                          • +
                                                                          • Extensive experience in AI strategy, development, and governance
                                                                          • +
                                                                          • Proven track record of leading AI initiatives and fostering a responsible AI culture
                                                                          • +
                                                                          • Strong understanding of AI risk management and mitigation strategies
                                                                          • +
                                                                          • Excellent leadership and communication skills
                                                                          • +
                                                                          • Experience with common cloud and reporting tooling
                                                                          • +
                                                                          • Ability to influence stakeholders for enterprise adoption and change management
                                                                          • +
                                                                          +


                                                                          What's in it For You?
                                                                          Join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          - Hybrid Work Model
                                                                          - Wellbeing benefits
                                                                          - Globally recognized culture of equality, diversity, and inclusion
                                                                          - Learning & Development opportunities
                                                                          - Social Impact initiatives
                                                                          - Purpose Driven Work

                                                                          +

                                                                          #LI-LP2

                                                                          +

                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          -

                                                                          Who We Are:

                                                                          -

                                                                          TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          -

                                                                          TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          -

                                                                          Our Total Rewards Package
                                                                          Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ178623/Senior-Director-AI-Enablement,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-07-13T15:27:24.308Z,False,0,4,34,https://talenthub.vectorinstitute.ai/jobs/328643871-senior-director-ai-enablement-at-thomson-reuters,,expired,2024-06-13T15:27:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Director,Masters Degree,New Posting, +dcb6211f-43e8-4977-af09-147e4aea9dfd,332511123,BMO Financial Group,"Director, Card Fraud Strategy and Analytics",on_site,"Ontario, Canada",2024-07-04T07:21:01.368Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          07/30/2024

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          The Financial Crimes Unit (FCU) brings together our Cybersecurity, Fraud, Physical Security and Resilience Planning capabilities to address the ever-growing and increasingly complex global security environment. It is a highly collaborative effort that greatly enhances BMO’s ability to rapidly prevent, detect, respond to, and recover from all security & crisis threats. This position offers a unique experience to learn from experienced leaders in the industry, join a team building the 21st century model for security and helping grow the good by protecting our customers and communities.

                                                                          +
                                                                          • Hybrid role

                                                                          -

                                                                          Additional Information:
                                                                          We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                          Colleague Development
                                                                          If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                          -

                                                                          Training & Onboarding
                                                                          We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                          -

                                                                          Interview Process
                                                                          We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                          -

                                                                          Accommodation
                                                                          Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                          We look forward to hearing from you!

                                                                          +

                                                                          +

                                                                          +

                                                                          BMO seeks a qualified and motivated Director, Card Fraud Strategy and Analytics. The Card Fraud Strategy and Analytics Director is responsible for developing and managing the credit card and debit card fraud strategies and analytics for the Canadian and US portfolios. The Director manages a team of card data scientists and fraud analysts that use various quantitative disciplines to develop, implement, and measure the ongoing effectiveness of card prevention strategies and fraud containment models to achieve the optimal balance of limiting fraud risks and maximizing business growth, alert efficiency and profitability. This team implements auto-decisioning rules, alert management best practices and fraud intervention policies, balances results with customer experience targets, applies data mining and statistical modeling techniques to isolate new emerging fraud risk to minimize the Banks exposure to serious financial loss and potentially irreparable damage in the market with investors and regulators.

                                                                          -

                                                                          Language Requirement:

                                                                          -

                                                                          N/A.

                                                                          ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/AI-ML-Business-Management-Analyst_R_1363766?jobFamilyGroup=de76965296350195765906b50704e3ab&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-03T18:30:00.000Z,False,0,6,43,https://talenthub.vectorinstitute.ai/jobs/339078059-ai-ml-business-management-analyst-at-td-bank-group,,expired,2024-08-22T19:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -6773780c-17a1-4189-89ff-b3e49789c677,339832226,KPMG,GTA Office - Opportunities in Information Technology Risk Analytics Summer Intern & Full Time 2025,on_site,"Toronto, Canada",2024-08-29T16:34:02.129Z,"

                                                                          Overview

                                                                          -

                                                                          Please note that you are limited to ONE APPLICATION during the Fall Recruitment period as we ask you to think ahead to what office and service line you are interested in.

                                                                          -

                                                                          -

                                                                          At KPMG in Canada, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.  

                                                                          -

                                                                          -

                                                                          Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities. 

                                                                          -


                                                                          What you will do

                                                                          -

                                                                          Our Toronto office is seeking early talent to join KPMG’s Information Technology practice as a Risk Services Analyst (Summer Intern & Full-Time) in 2025.

                                                                          -

                                                                          -

                                                                          Why KPMG Information Technology Risk Services (ITRS)?

                                                                          -

                                                                          -

                                                                          Today's organizations – whether businesses, public sector entities or not-for-profit organizations – are heavily and increasingly reliant on information technology (IT) and other computer-based technologies to gain and maintain strategic advantage, and to achieve and sustain operational efficiency and effectiveness. Similarly, they are increasingly reliant on not just internal resources, but also on third parties to successfully select, design, implement, and maintain these technologies and technology-enabled processes, services and solutions.

                                                                          -


                                                                          KPMG's Technology Risk Consulting services help our clients achieve these goals successfully. You'll be part of a team that brings technology risk awareness to the boardroom while helping clients ensure their technology selection supports their strategy and operations – safely, securely and consistently.

                                                                          -

                                                                          -

                                                                          As an ITRS Analyst, you will have the opportunity to help clients manage technology, cyber and regulatory risks by providing a variety of services to our clients. The successful candidate will focus primarily on providing IT Internal Audit and IT risk advisory engagements such as IT project and ERP advisory services, information protection and business resilience services.

                                                                          -

                                                                          -

                                                                          Learn more about KPMG Risk Services

                                                                          -


                                                                          What you bring to the role

                                                                          -

                                                                          You strive to make a meaningful and positive difference alongside your peers, to work collaboratively and with innovation at the forefront. You’re passionate about being involved in your local community and post-secondary institution and have a proven ability to achieve personal and professional success while being curious as you learn emerging practices and technologies.

                                                                          +

                                                                          The Director partners with Global Card Fraud, Card Operations, Banking Fraud Analytics, Technology, Financial Crimes teams, Card Third Party Service Providers, and other key stakeholders. The candidate must demonstrate the ability to balance strategic thinking, robust analytical and data-mining capabilities, along with strong operational execution. The candidate needs to be a strong and influential leader with a keen focus on employee development and a proven ability for building and leading large talented teams located across various geographic locations. The individual needs to display excellent communication skills, an ability to influence leaders and peers, and exhibit energy, curiosity, and ability to frame intelligent questions to uncover issues and spearhead the formulation of approach and methodology.

                                                                            -
                                                                          • University student with a major in Accounting, Finance, Business, Math, Engineering, Information Technology, Data Science or Computer Science
                                                                          • -
                                                                          • Excellent written and oral communication skills, able to effectively express insights.
                                                                          • -
                                                                          • Demonstrated ability to learn and succeed in a fast-paced environment.
                                                                          • -
                                                                          • Attention to detail and strong organization and analytical skills.
                                                                          • -
                                                                          • Ability to work both independently, with little supervision and within a team environment.
                                                                          • -
                                                                          • Highly motivated student who strives for excellence, innovation and collaboration
                                                                          • +
                                                                          • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
                                                                          • +
                                                                          • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
                                                                          • +
                                                                          • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
                                                                          • +
                                                                          • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
                                                                          • +
                                                                          • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
                                                                          • +
                                                                          • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
                                                                          • +
                                                                          • Operates at a group/enterprise-wide level and serves as a senior specialist resource across BMO.
                                                                          • +
                                                                          • Influences how teams/groups work together.
                                                                          • +
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to multiple, interdependent, complex problems.
                                                                          • +
                                                                          • Communicates abstract concepts in simple terms.
                                                                          • +
                                                                          • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
                                                                          • +
                                                                          • Anticipates trends and responds by implementing appropriate changes.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.
                                                                          -

                                                                          -

                                                                          To apply:

                                                                          -

                                                                          -

                                                                          Start your journey and make your mark with KPMG today!

                                                                          -

                                                                          -

                                                                          Please apply directly to KPMG at Students - KPMG Canada (home.kpmg).

                                                                          -

                                                                          -

                                                                          All applications must be received no later than Monday, September 2nd, 2024, at 11:59 PM ET.

                                                                          -

                                                                          -

                                                                          Please note that this opportunity is located at KPMG's Toronto Bay-Adelaide office in a hybrid working model.

                                                                          -

                                                                          -

                                                                          Feeling a little overwhelmed with the application process? Don’t worry – we've got you covered! Check out our resume and interview tips available over at our Application Journey page!

                                                                          -

                                                                          -

                                                                          What is required for this application process:

                                                                          +

                                                                          +

                                                                          Qualifications:

                                                                          +

                                                                          Expert level of proficiency:

                                                                            -
                                                                          • Please limit your application to one role at the location of your choice based on your interests. You will be asked to complete an application questionnaire where you can outline your preferences. Please carefully review which specific opportunities are available before submitting your application, as openings vary by office.
                                                                          • -
                                                                          • Applications can be addressed to “Hiring Manager” and should include a cover letter, resume, and a copy of your most recent unofficial transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.
                                                                          • -
                                                                          • All considered applicants must have or will obtain legal authorization to work in Canada by the start date of employment.
                                                                          • +
                                                                          • Mathematics, statistics & operations research.
                                                                          • +
                                                                          • Deep learning.
                                                                          • +
                                                                          • Machine learning.
                                                                          • +
                                                                          • Trust, bias and ethics.
                                                                          • +
                                                                          • Creative thinking.
                                                                          • +
                                                                          • Critical thinking.
                                                                          • +
                                                                          • Big data.
                                                                          • +
                                                                          • Data visualization.
                                                                          • +
                                                                          • Computational thinking and programming.
                                                                          • +
                                                                          • Data wrangling.
                                                                          • +
                                                                          • Data preprocessing.
                                                                          • +
                                                                          • Creative reasoning.
                                                                          • +
                                                                          • Verbal & written communication skills.
                                                                          • +
                                                                          • Analytical and problem solving skills.
                                                                          • +
                                                                          • Influence skills.
                                                                          • +
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration.
                                                                          • +
                                                                          • Able to manage ambiguity.
                                                                          • +
                                                                          • Data driven decision making.
                                                                          • +
                                                                          • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Seasoned expert with extensive industry knowledge.
                                                                          • +
                                                                          • Technical leader viewed as a thought leader for innovation.
                                                                          • +
                                                                          • Experience working with Card Fraud and Rule Based platforms.
                                                                          -

                                                                          If you experience any difficulties with the online system, please contact ca-fmcandidateexpcoe@kpmg.ca.

                                                                          -

                                                                          -

                                                                          Providing you with the support you need to be at your best

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                          -


                                                                          Our Values, The KPMG Way

                                                                          -

                                                                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                          -

                                                                          -

                                                                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                          -

                                                                          -

                                                                          Adjustments and accommodations throughout the recruitment process

                                                                          -

                                                                          -

                                                                          At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                                                          -

                                                                          -

                                                                          To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                                                          -

                                                                          -

                                                                          For information about accessible employment at KPMG, please visit our accessibility page.

                                                                          -

                                                                          ",,https://careers.kpmg.ca/students/jobs/24713?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-09-03T18:30:00.000Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/339832226-gta-office-opportunities-in-information-technology-risk-analytics-summer-intern-full-time-2025-at-kpmg,https://careers.kpmg.ca/students/jobs/24713?lang=en-us,expired,2024-08-29T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, -7e8be930-a0e3-41b5-a03b-5c3b5ac173bd,337356145,Ada,Data Annotation Specialist - Machine Learning,full,Canada,2024-08-08T19:54:11.373Z,"

                                                                          At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort. Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx

                                                                          -

                                                                          As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

                                                                          -

                                                                          We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

                                                                          -

                                                                          About You

                                                                          +

                                                                          +

                                                                          Requirements:

                                                                            -
                                                                          • Motivated to complete tasks with a high degree of attention to detail and efficiency
                                                                          • -
                                                                          • Spanish native speaker with strong written and verbal communication skills in English.
                                                                          • -
                                                                          • Proficient computer skills and familiarity with programs such as Excel, GSheets
                                                                          • -
                                                                          • Highly organized
                                                                          • +
                                                                          • Bachelor’s Degree or Advanced Degree (preferred)
                                                                          • +
                                                                          • 8+ years experience in analytics leadership roles with exposure to credit and debit cards and/or fraud experience
                                                                          • +
                                                                          • Deep knowledge and expertise of using analytical tools and techniques to drive business and fraud prevention outcomes
                                                                          • +
                                                                          • Knowledge of consumer-lending best practices, including the use of advanced statistical techniques and data sources
                                                                          • +
                                                                          • Experience in card strategies across financial products and services
                                                                          • +
                                                                          • Strong communication, interpersonal and negotiation skills to achieve business objectives
                                                                          • +
                                                                          • Ability to work in fast-paced ever-changing environment and the ability to juggle an array of tasks and individuals on tight timelines
                                                                          • +
                                                                          • Innovative and capable of developing a highly analytical approach to solving problems
                                                                          • +
                                                                          • Experienced leader managing a solid data scientist and analytical team
                                                                          -

                                                                          Outcomes

                                                                          -
                                                                            -
                                                                          • Collect, validate and prepare Data to support model training and other ML/AI development processes
                                                                          • -
                                                                          • Consistently deliver high quality annotated data
                                                                          • -
                                                                          • Become an owner of Ada’s data annotation processes and help to scale them
                                                                          • -
                                                                          • Refine the annotation tasks and guidelines based on the experience acquired through the inspection of large amounts of data
                                                                          • -
                                                                          • Create clear and concise documentation to document progress and processes
                                                                          • +
                                                                            +

                                                                            +

                                                                            Salary:

                                                                            +
                                                                            $124 200,00 - $231 000,00

                                                                            +

                                                                            Pay Type:

                                                                            Salaried

                                                                            +

                                                                            The above represents BMO Financial Group’s pay range and type.

                                                                            +

                                                                            +

                                                                            Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                            +

                                                                            +

                                                                            BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                            +

                                                                            +

                                                                            +

                                                                            We’re here to help

                                                                            +

                                                                            +

                                                                            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                            +

                                                                            +

                                                                            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                            +

                                                                            +

                                                                            To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                            +

                                                                            +

                                                                            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                            +

                                                                            +

                                                                            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                            +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Director--Card-Fraud-Strategy-and-Analytics_R240017394?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-18T07:34:01.705Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/332511123-director-card-fraud-strategy-and-analytics-at-bmo-financial-group,,expired,2024-07-04T07:21:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +d746651b-e11e-498e-86ac-7bb2d50a7943,334048315,Scotiabank,"Manager, Enterprise Stress Testing (14 Month Contract)",on_site,Canada : Ontario : Toronto,2024-07-15T16:28:02.143Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 201710

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Enterprise Stress Testing’s (“EST”) mandate is to create and run the Bank’s stress testing program. We need a strong individual to help with credit risk stress testing the Bank’s portfolio. You will get the opportunities to apply your technical skillset and analytical mindset in building credit risk models and providing stress testing insights across geographies and products. This role has the potential for direct impact on business strategy with stress testing as a decision-making tool by senior management in Global Risk Management as well as Finance executives and the Board.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role you, will:

                                                                          +

                                                                          +
                                                                          • Develop and implement the credit risk models using technology platforms, primarily utilizing Python, R and SQL. It involves models that forecast credit rating migration probabilities as well as models that project point-in-time values for Probability of Default and Loss Given Default as a function of macroeconomic variables

                                                                          • Optimize code repositories to ensure they can be effectively executed in the operational/production environment to produce stress testing Expected Credit Loss (ECL) and Risk-Weighted Assets (RWA) results in a timely manner

                                                                          • Build Power BI dashboard and other visualization tools to assist analysis across multiple macroeconomic scenarios and provide a wholistic/separated view of the credit portfolio’s performance during stress

                                                                          • Collaborate with internal model development teams, including the Retail, Models & Analytics (RMA) team, and the IFRS9 modelling team to ensure stress testing models are compatible and up to date with the production environment

                                                                          • Perform supplementary analysis and construct overlay methodologies to consider emerging risk themes, such as climate risk, geopolitical tensions, and high consumer indebtedness

                                                                          • Ensure compliance with applicable regulations and provide necessary information and ad-hoc analysis to regulators as required

                                                                          -

                                                                          Nice to have

                                                                          -
                                                                            -
                                                                          • Proficiency in other languages
                                                                          • -
                                                                          • Interested in human language
                                                                          • -
                                                                          • Interested in technology
                                                                          • +

                                                                            Do you have the expertise that will enable you to succeed in this role? - We'd like to work with you if you have:

                                                                            +

                                                                            +
                                                                            • Advanced degree in Economics, Finance, Statistics, Mathematics, Data Science, or other related quantitative discipline

                                                                            • Advanced quantitative modeling expertise (e.g., advanced statistical models, machine learning, econometric models)

                                                                            • Experience in working with large dataset and optimization of code speed

                                                                            • Experience with R or Python is required. Experience with Spark is an asset

                                                                            • Experience in credit risk modeling related to probability of default and loss given default. Stress testing experience is desirable

                                                                            • Strong communication expertise

                                                                            • General knowledge of a bank’s financial statement with a good understanding of credit products and provisions for credit losses (PCL)

                                                                            • Working knowledge of RWA and capital requirement under Basel III regulations is an asset

                                                                            • Experience with leading or working in transformational projects

                                                                            • Experience with presenting analytical findings and business insights

                                                                            • Working knowledge of basic Linux or UNIX systems is an asset. Experience with version control software (e.g. Git) is an asset.

                                                                            -

                                                                            Benefits

                                                                            -
                                                                              -
                                                                            • Competitive salary and generous stock option plan
                                                                            • -
                                                                            • Unlimited vacation
                                                                            • -
                                                                            • Wellness account
                                                                            • -
                                                                            • Extended health coverage
                                                                            • -
                                                                            • Dental/optical/travel insurance
                                                                            • -
                                                                            • Life insurance
                                                                            • -
                                                                            • Employee and family assistance plan
                                                                            • +

                                                                              +

                                                                              What’s in it for you?

                                                                              +

                                                                              +
                                                                              • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.

                                                                              • A rewarding career path with diverse opportunities for professional development. This position will have exposure to multiple aspects of the bank’s financial profile, such as balance sheet growth, provisions for credit losses and capital adequacy assessment.

                                                                              • Becoming a subject matter expert and storyteller for our Canadian retail portfolio, in terms of how the stress testing process works and what drives the portfolio’s losses

                                                                              • A competitive compensation and benefits package.

                                                                              • An organization acted to making a difference in our communities– for you and our customers.

                                                                              • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!

                                                                              -

                                                                              Perks

                                                                              -
                                                                                -
                                                                              • Flexible work schedule
                                                                              • -
                                                                              • Remote-first, In-person friendly work environment with WFH budget
                                                                              • -
                                                                              • Paid parental leave for Canadian residents
                                                                              • -
                                                                              • Development opportunities

                                                                                -
                                                                              • +

                                                                                +

                                                                                Location(s): Canada : Ontario : Toronto

                                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Stress-Testing-%2814-Month-Contract%29-ON-M5H1H1/582126417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-18T16:33:05.568Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/334048315-manager-enterprise-stress-testing-14-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Stress-Testing-%2814-Month-Contract%29-ON-M5H1H1/582126417/,expired,2024-07-15T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +0467cd70-4a09-449f-84d6-4da278601344,329965791,Scotiabank,"Manager, Data & AI Risk (12 Month Contract)",on_site,Canada : Ontario : Toronto,2024-06-20T16:28:03.069Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 201697

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          The Manager, Data & AI Risk is liable for assisting in the development of new dashboards and reports for the Data and AI Risk team. This role requires a high degree of flexibility, an appreciation of the challenges surrounding data risk, an understanding of technology, and the ability to socialize and collaborate effectively with colleagues.

                                                                          This role is primarily technical in nature and will require the effective use of a variety of tools in delivering analytics solutions. The current technology environment consists of Excel, R, and Power BI. It also requires the careful application of data visualization techniques to create effective final products for end-users, and an understanding of DAX functions and Power Queries.

                                                                          It is expected that the technical environment will change over time so this role will also involve transitioning the toolset to whatever is aligned with the Bank’s overall technology strategy. This could involve Google Cloud Platform (GCP).

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          +
                                                                          • Manage and maintain data and reporting processes

                                                                          • Build ETL processes using R or other tools

                                                                          • Build reporting and analysis applications using Power BI

                                                                          • Assist in the execution of the periodical and ad-hoc reporting to the Board and risk committees, including collection of metrics and creation of dashboards and reports

                                                                          • Work with end-users to develop an understanding of the potential uses and benefits of an analytical approach to managing risk

                                                                          • Create storytelling with data when building dashboards, reports, and custom analyses in the service of risk management

                                                                          • Explore the use of advanced analytics approaches and apply them as necessary

                                                                          • Ready to use Google Cloud Databases to create and manage databases for reporting and analysis

                                                                          • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.

                                                                          -

                                                                          The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

                                                                          -

                                                                          #LI-NS1

                                                                          -

                                                                          About Us

                                                                          -

                                                                          Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

                                                                          -

                                                                          We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

                                                                          -

                                                                          Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

                                                                          -

                                                                          Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

                                                                          ",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,aitalent@vectorinstitute.ai,https://www.ada.support/careers,,,2024-09-07T19:54:13.494Z,False,0,14,86,https://talenthub.vectorinstitute.ai/jobs/337356145-data-annotation-specialist-machine-learning-at-ada,,expired,2024-08-08T19:54:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, -a20b4d2a-0991-4d26-8b16-0a3c596c45ee,339051890,BMO Financial Group,Structural Market Risk Analyst - Fall 2024 (Co-op/Internship) - 4 Months,on_site,"Ontario, Canada",2024-08-22T06:14:02.345Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          08/29/2024

                                                                          +

                                                                          Job Requirements:

                                                                          +

                                                                          +
                                                                          • A strong quantitative background (based on either experience or education) is a must

                                                                          • Post-Secondary education completed

                                                                          • 3+ years experience in analytics and/or reporting with Power BI or Tableau

                                                                          • Strong Microsoft Suite experience (Excel, PowerPoint)

                                                                          • Experience with the use of relational database systems and general programming

                                                                          • Curious and proactive learner able to solve complex problems, multi-task and manage changing priorities

                                                                          • Experience as a Project Manager or Business Analyst an asset

                                                                          • Fluency in Spanish is an asset

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-&-AI-Risk-%2812-Month-Contract%29-ON-M5C2V9/582091117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-18T16:33:05.568Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/329965791-manager-data-ai-risk-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-&-AI-Risk-%2812-Month-Contract%29-ON-M5C2V9/582091117/,expired,2024-06-20T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c8ce627c-6c68-4ca1-9661-d0cb1b640c40,326267712,BMO Financial Group,Senior Manager Risk Analytics and Reporting,on_site,"Ontario, Canada",2024-05-31T01:07:02.162Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          07/25/2024

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          Address:

                                                                          33 Dundas Street West

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          This is a hybrid role

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                            -
                                                                          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                                          • -
                                                                          • Acts as a resource for team members with less experience
                                                                          • -
                                                                          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.
                                                                          • +
                                                                          • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                                                          • +
                                                                          • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                                                          • +
                                                                          • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                                                          • +
                                                                          • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                                                          • +
                                                                          • Attracts, retains, and enables the career development of top talent.
                                                                          • +
                                                                          • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                                                          • +
                                                                          • Provides strategic input into business decisions as a trusted advisor.
                                                                          • +
                                                                          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                                                          • +
                                                                          • Acts as a subject matter expert on relevant regulations and policies.
                                                                          • +
                                                                          • May network with industry contacts to gain competitive insights and best practices.
                                                                          • +
                                                                          • Interprets new regulations and assesses impacts to the risk reporting strategy/program framework.
                                                                          • +
                                                                          • Influences and negotiates to achieve business objectives.
                                                                          • +
                                                                          • Identifies emerging issues and trends to inform decision-making.
                                                                          • +
                                                                          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                                                          • +
                                                                          • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                                                          • +
                                                                          • Measures the effectiveness of risk reporting program/strategy; recommends changes as required.
                                                                          • +
                                                                          • Conducts independent analysis and assessment to resolve strategic issues.
                                                                          • +
                                                                          • Leads the development and maintenance of the risk reporting framework.
                                                                          • +
                                                                          • Acts as the prime subject matter expert for internal/external stakeholders.
                                                                          • +
                                                                          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                                                                          • +
                                                                          • Ensures alignment between stakeholders.
                                                                          • +
                                                                          • Designs and produces regular and ad-hoc reports, and dashboards.
                                                                          • +
                                                                          • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                                                                          • +
                                                                          • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                                                          • +
                                                                          • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                                                                          • +
                                                                          • May provide specialized support for other internal and external regulatory requirements.
                                                                          • +
                                                                          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                                                                          • +
                                                                          • Leads/participates in the design, implementation and management of core business/group processes.
                                                                          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                                          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                                          • @@ -70421,35 +71660,36 @@ a20b4d2a-0991-4d26-8b16-0a3c596c45ee,339051890,BMO Financial Group,Structural Ma
                                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently on a range of complex tasks, which may include unique situations.
                                                                          • +
                                                                          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                                                          • +
                                                                          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                                                          • +
                                                                          • Implements changes in response to shifting trends.
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                          • -
                                                                          • Typically between 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Knowledge of risk management metrics, KPIs and KRIs.
                                                                          • -
                                                                          • Knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • -
                                                                          • Product knowledge for the designated business/portfolio.
                                                                          • -
                                                                          • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • -
                                                                          • Knowledge of reporting & analytics concepts and applications.
                                                                          • -
                                                                          • Knowledge of risk systems technology.
                                                                          • -
                                                                          • Technical proficiency gained through education and/or business experience.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • -
                                                                          • Collaboration & team skills - In-depth.
                                                                          • -
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • -
                                                                          • Influence skills - In-depth.
                                                                          • -
                                                                          • Data driven decision making - In-depth.
                                                                          • +
                                                                          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • In-depth/expert knowledge of risk management metrics, KPIs and KRIs.
                                                                          • +
                                                                          • In-depth/expert knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • +
                                                                          • In-depth/expert product knowledge for the designated business/portfolio.
                                                                          • +
                                                                          • In-depth/expert knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • +
                                                                          • In-depth/expert knowledge of reporting & analytics concepts and applications.
                                                                          • +
                                                                          • In-depth/expert knowledge of risk systems technology.
                                                                          • +
                                                                          • Seasoned professional with a combination of education, experience and industry knowledge.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth / Expert.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth / Expert.
                                                                          • +
                                                                          • Influence skills - In-depth / Expert.
                                                                          • +
                                                                          • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                                                          • +
                                                                          • Able to manage ambiguity.
                                                                          • +
                                                                          • Data driven decision making - In-depth / Expert.

                                                                          -

                                                                          Salary:

                                                                          -
                                                                          $54,500.00 - $101,500.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          Compensation and Benefits:

                                                                          +
                                                                          $84,000.00 - $156,000.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          We’re here to help

                                                                          @@ -70458,824 +71698,1004 @@ a20b4d2a-0991-4d26-8b16-0a3c596c45ee,339051890,BMO Financial Group,Structural Ma

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Structural-Market-Risk-Analyst---Fall-2024--Co-op-Internship----4-Months_R240022038?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-02T16:23:02.389Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/339051890-structural-market-risk-analyst-fall-2024-co-op-internship-4-months-at-bmo-financial-group,,expired,2024-08-22T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -91287c8f-e9be-49af-ae61-ce832ab054e6,337447911,EY,Senior Consultant - AI and Data - Azure Databricks Data Engineer,on_site,"Calgary, AB, Canada",2024-08-09T17:01:59.401Z,"

                                                                          Job description

                                                                          -

                                                                          Requisition ID: 1516326At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                          -

                                                                          The opportunity
                                                                          The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager-Risk-Analytics-and-Reporting_R240014046?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-07-03T20:54:52.492Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/326267712-senior-manager-risk-analytics-and-reporting-at-bmo-financial-group,,expired,2024-05-31T01:07:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +60c596fb-8c8d-4858-a281-c8f09f68f53c,326747266,Cohere AI,"Member of Technical Staff, Inference & Model Serving",on_site,"Toronto, ON, Canada",2024-06-02T16:41:02.249Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +
                                                                          Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
                                                                          +

                                                                          +
                                                                          We are looking for candidates with a range of experiences for multiple roles.
                                                                          +
                                                                          +

                                                                          You may be a good fit if you have:

                                                                          +
                                                                              +
                                                                            • Experience with serving ML models.
                                                                            • +
                                                                            • Experience designing, implementing, and maintaining a production service at scale.
                                                                            • +
                                                                            • Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures.
                                                                            • +
                                                                            • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference.
                                                                            • +
                                                                            • Strong understanding or working experience with distributed systems.
                                                                            • +
                                                                            • Experience in performance benchmarking, profiling, and optimization.
                                                                            • +
                                                                            • Experience with cloud infrastructure (e.g. AWS, GCP).
                                                                            • +
                                                                            • Experience in Golang (or, other languages designed for high-performance scalable servers).
                                                                            • +
                                                                          +
                                                                          +

                                                                          +

                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,feed-importer@jobboard.io,,,,2024-07-03T21:03:49.852Z,False,0,12,48,https://talenthub.vectorinstitute.ai/jobs/326747266-member-of-technical-staff-inference-model-serving-at-cohere-ai,https://jobs.lever.co/cohere/bc7fe1d1-ac00-4ea3-96a4-7ad1858406af,expired,2024-06-02T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,No Degree,New Posting, +acab8c63-4277-4253-9c8c-b79916a3cb14,326850142,Scotiabank,"Manager, CCR Capital Analytics, Market Risk Measurement (6 Months Contract)",on_site,Canada : Ontario : Toronto,2024-06-03T16:28:01.927Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 200379

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          Purpose of Job:

                                                                          +

                                                                          +

                                                                          As part of Global Risk Management, Market Risk Measurement team delivers reporting, analytics and insights to the Bank’s non-retail business lines. The Counterparty Credit Risk (CCR) Capital analytics team specializes in regulatory capital for Counterparty Credit Default risk and Credit Value Adjustment. The incumbent will work on development, maintain the Bank’s CCR capital system and be liable for the report and corresponding analysis. We are looking for people and talent that will help us drive large-scale initiatives forward and work alongside our diverse team of quants, data scientists and developers and collaborate with our many stakeholders across Scotiabank.

                                                                          +

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          +
                                                                          • Report CCR and CVA capital timely with quality on a periodic basis

                                                                          • Collaborate with front-office, technology, and all users to assist investigations.

                                                                          • Monitor and escalate any issues impact on the CCR/CVA capital value.

                                                                          • Develop and automate control processes to identify data challenges affecting accuracy of CCR/CVA capital; Collaborate with data governance teams to drive CCR data issues resolution.

                                                                          • Develop and implement analytics dashboard through the Power BI framework for CCR/CVA capital reporting and drilldown investigation tools for the capital values.

                                                                          • Assist business line in any ad-hoc/one-off capital analysis and in understanding CCR/CVA capital calculation.

                                                                          • Perform detailed quantitative and technical review capital process, including responsibility of creating the end-to-end capital process, research on appropriate statistical / mathematical technical tests, undertaking research and development of new techniques, coding/programming to assess various aspects of model performance.

                                                                          • Comply with internal policies, procedures and regulatory requirements where applicable

                                                                          • Provide active and direct assist to resolve outstanding audit and regulatory issues and to respond to ad hoc senior management and regulatory requests.

                                                                          • +
                                                                          +

                                                                          Job Requirements:

                                                                          +

                                                                          +
                                                                          • Advanced degree in Mathematics, Statistics, Econometrics, Physics, Computer Science, Financial Mathematics, Financial Engineering (Master or above, Ph.D. Preferred); Industry certification or credentials will be an asset (e.g. CFA, FRM)

                                                                          • Knowledges of the derivative pricing model theory, counterparty credit risk modeling, market data etc. Experience in modeling including the valuation and capital models, or counterparty credit risk modeling,

                                                                          • Familiar with various trading products including IR, FX, Equity, Commodity, SFT etc.

                                                                          • Excellent written and presentation skills to provide advice and explanation to various users

                                                                          • Sound understanding of various modelling techniques and comfortable to conduct various tests.

                                                                          • Proficient computing skills in SQL, Python, Unix bash scripting.

                                                                          • Knowledge of databases and BI tools (especially MS Power BI) is an asset.

                                                                          • Ability to manage efficiently multiple priorities; attention to detail and ability to work independently or in teams; consensus-building ability.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Capital-Analytics%2C-Market-Risk-Measurement-%286-Months-Contract%29-ON-M5H1B6/581437617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-03T21:12:03.151Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/326850142-manager-ccr-capital-analytics-market-risk-measurement-6-months-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-CCR-Capital-Analytics%2C-Market-Risk-Measurement-%286-Months-Contract%29-ON-M5H1B6/581437617/,expired,2024-06-03T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +ed6def08-f172-409d-aee2-0c1fd3099d1e,328644289,Thomson Reuters,"Vice President, AI Platform",on_site,"Toronto, ON, Canada",2024-06-13T15:31:05.930Z,"

                                                                          The Core AI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The AI Platform aims to foster a culture of innovation, enables rapid development of AI solutions, and drive transformative outcomes to stakeholders. Towards this vision, it currently serves as a comprehensive ecosystem of collaborative services, tools, and infrastructure empowering both technical and non-technical users to seamlessly develop, evaluate, deploy and monitor AI solutions tailored to various business use cases and personas. Through prioritizing transparency, reusability of prompts, models and workflows, and swift integration of emerging AI frameworks like Generative AI, the AI Platform strives to redefine the landscape of AI solutions whether for experimentation or for a production environment.

                                                                          -

                                                                          Your key responsibilities

                                                                          -

                                                                          As a Databricks Data Engineer, you will:

                                                                          +

                                                                          About the Role

                                                                          +

                                                                          The Vice President, AI Platform is responsible for building, operating and evolving the AI Platform to support technical and non-technical users on the adoption of AI. They will engage with data science, engineering and product teams across the company to ensure feature/function requirements are understood and prioritized to drive maximum value for customers and colleagues. This leader will deliver capabilities that will accelerate innovation and enable thousands of experiments and AI solutions to run simultaneously, at speed and scale.

                                                                          +

                                                                          Key Responsibilities:

                                                                          +
                                                                          • Design, implement, operate and evolve the multi-cloud AI Platform including:
                                                                              +
                                                                            • Advanced tooling for prompting, evaluations and AI Agent centric workflows
                                                                            • +
                                                                            • Standardization and automation of the path to production for AI solutions
                                                                            • +
                                                                            • Automated model development lifecycle, devops, model validation, lineage
                                                                            • +
                                                                            • Model operations capabilities including monitoring for model drift, testing for ethics and bias
                                                                            • +
                                                                            • Training and support of a wide user base with varying levels of expertise
                                                                            • +
                                                                            +
                                                                            -
                                                                          • Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks.
                                                                          • -
                                                                          • Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities.
                                                                          • -
                                                                          • Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
                                                                          • -
                                                                          • Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes.
                                                                          • -
                                                                          • Collaborate with data architects to implement effective data models and schemas within the Databricks environment.
                                                                          • -
                                                                          • Monitor data reliability, efficiency, and quality, and implement improvements as needed.
                                                                          • -
                                                                          • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
                                                                          • -
                                                                          • Develop and maintain documentation related to data pipeline architecture, development processes, and data governance.
                                                                          • -
                                                                          • Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks.
                                                                          • +
                                                                          • Design and implement strong security and privacy enhancing technologies and methods
                                                                          • +
                                                                          • Actively track and report progress to senior stakeholders on progress, adoption and value enablement
                                                                          • +
                                                                          • Ensure a diverse and inclusive organization, driving team growth
                                                                          • +
                                                                          • Work collaboratively with all parts of TR to drive an AI-driven culture
                                                                          • +
                                                                          • Achieve Financial Plan target; drive productivity improvements
                                                                          -


                                                                          Skills and attributes for success

                                                                          +

                                                                          This role will partner across the Product, Data & Analytics and Product Engineering organization to:

                                                                            -
                                                                          • Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate.
                                                                          • -
                                                                          • Experience with machine learning frameworks and libraries.
                                                                          • -
                                                                          • Knowledge of additional big data tools and platforms.
                                                                          • -
                                                                          • Familiarity with data visualization tools and techniques.
                                                                          • +
                                                                          • Automate Data and Model Governance processes (with Responsible AI team)
                                                                          • +
                                                                          • Drive the GenAI Platform agenda, integrating with Content and making the path to production frictionless and timely
                                                                          -


                                                                          To qualify for the role you must have

                                                                          +

                                                                          +

                                                                          About You

                                                                          +

                                                                          You are a fit for this role if you possess the following:

                                                                          +

                                                                          Education and Experience:

                                                                            -
                                                                          • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
                                                                          • -
                                                                          • Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
                                                                          • -
                                                                          • Strong programming skills in languages such as Python, Scala, or Java.
                                                                          • -
                                                                          • Experience with Apache Spark and its integration with Databricks.
                                                                          • -
                                                                          • Proficiency in SQL and experience with data modeling and data warehousing concepts.
                                                                          • -
                                                                          • Familiarity with DevOps practices and CI/CD pipelines.
                                                                          • -
                                                                          • Excellent analytical and problem-solving abilities.
                                                                          • -
                                                                          • Effective communication skills and the ability to work collaboratively in a team environment.
                                                                          • +
                                                                          • Bachelor’s degree in computer science, software engineering or equivalent experience
                                                                          • +
                                                                          • Hands on experience with AI/ML engineering frameworks
                                                                          • +
                                                                          • A minimum of 10 years of experience in software development and deployment
                                                                          • +
                                                                          • Prior experience working in a large, geographically dispersed organization.
                                                                          • +
                                                                          • Experience leading and developing highly effective teams
                                                                          • +
                                                                          • 10+ years of software development leadership and/or executive positions
                                                                          • +
                                                                          • Extensive experience creating and executing technology strategy and technical roadmaps
                                                                          • +
                                                                          • Ability to understand, evaluate and discuss technical integration scenarios and architectural concepts
                                                                          • +
                                                                          • Experience with Agile methodologies and understanding of modern web/SaaS technologies and systems
                                                                          • +
                                                                          • Experience presenting strategy and operational updates to senior executives
                                                                          • +
                                                                          • Ability to prioritize, self-initiate, and create momentum, even with partial guidance or information
                                                                          -


                                                                          What we offer
                                                                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                          -


                                                                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                          +

                                                                          +

                                                                          Desired Qualifications:

                                                                            -
                                                                          • Support and coaching from some of the most engaging colleagues in the industry
                                                                          • -
                                                                          • Learning opportunities to develop new skills and progress your career
                                                                          • -
                                                                          • The freedom and flexibility to handle your role in a way that’s right for you
                                                                          • +
                                                                          • Experience in driving large-scale change across a global organization
                                                                          • +
                                                                          • Strong organization, analytical and problem-solving skills with an end-user focus
                                                                          • +
                                                                          • Exceptionally strong verbal and written communication skills with ability to effectively communicate updates and desired outcomes in a succinct manner

                                                                          -

                                                                          Diversity and Inclusion at EY

                                                                          -

                                                                          -

                                                                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                          -

                                                                          EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                          ",,https://careers.ey.com/ey/job/Calgary-Senior-Consultant-AI-and-Data-Azure-Databricks-Data-Engineer-AB-T2P-1M4/1087549601/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:02:03.146Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/337447911-senior-consultant-ai-and-data-azure-databricks-data-engineer-at-ey,,expired,2024-08-09T17:01:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -cab4221f-5a4e-415f-9772-61664de2e6cc,337447938,EY,Senior Product Leader - Data and Analytics,on_site,"Toronto, ON, Canada",2024-08-09T17:09:33.245Z,"

                                                                          Job description

                                                                          -

                                                                          Requisition ID: 1525739

                                                                          -

                                                                          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                          -

                                                                          The Opportunity
                                                                          We are seeking an experienced Data & Analytics Product Lead to join our team.

                                                                          -


                                                                          We have recently created a Solutions / Products group within our Consulting organization, to transform the way we deliver value to our clients and leapfrog our competition. In this new world, we believe that the best work will be done by not just throwing more humans at the problem, but by intelligently building offerings that 10x our impact.

                                                                          -


                                                                          This role will be a key part of this new product leadership group, focusing on the development of data offerings and digital products that address complex, risk-related challenges, and drive innovation in the financial services industry.

                                                                          -


                                                                          Your Key Responsibilities

                                                                          +

                                                                          #LI-PFF

                                                                          +

                                                                          +

                                                                          What's in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          • -Identify opportunities for impactful products: The most crucial aspect of this role is to be the visionary product leader we need you to be. This will entail understanding EY’s strengths, exploring the complete world of opportunities, developing a point of view on where success will come from, and leading your product(s) from discovery to delivery to create impact. This role is for those who want to have ownership, and to craft the strategy for impactful products.
                                                                          • +Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
                                                                          • -Leadership and buy-in: We deeply value leadership and collaboration at E, and know that the best products are created as a group effort. You will have the opportunity to lead with your ideas, and collaborate with subject matter experts globally to create large scale products. Your role will involve selling your vision both internally and externally, just as it is expected of all successful product leaders.
                                                                          • +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
                                                                          • -Delivering product and business outcomes: As EY’s Solutions / Products group, we do things differently. We want our product leaders to not be leading feature factories, where people simply capture requirements and churn out user stories. We are looking at you to tell us how you want to deliver business outcomes, and own your product end to end to ensure that it is creating value both for our clients, and for EY.
                                                                          • +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
                                                                          • -Helping grow your business: We operate with an ownership mindset at EY. We know that you’ve done big things in your past, and we want to help you build your product portfolio in a way that is going to make you proud. As you show success, we will be supporting you in growing your team, and take on even bigger challenges.
                                                                          • +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
                                                                          • -Levelling up the product craft: We are looking to bring in true craftspeople within our product group. A big part of our mandate internally is to level up how we think about product creation at EY. You will have plenty of opportunities to not only coach others, but also bring your own frameworks and thinking to ensure we have a product management practice we’re all proud of.
                                                                          • +Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. +
                                                                          • +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          -

                                                                          Skills and attributes for success

                                                                          +

                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ179757/Vice-President-AI-Platform,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2024-07-04T19:40:00.000Z,False,0,6,38,https://talenthub.vectorinstitute.ai/jobs/328644289-vice-president-ai-platform-at-thomson-reuters,,expired,2024-06-13T15:31:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Executive,Bachelors Degree,New Posting, +86848ae0-0afa-4256-9602-dca2623931af,328652242,Scotiabank,"Director, Credit Risk Oversight & Analytics, Small Business",on_site,Canada : Ontario : Toronto,2024-06-13T16:28:02.261Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 201178

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          The Director, Credit Risk Oversight & Analytics, Small Business, Global Risk Management, is liable for providing leadership and key oversight on the evaluation and decisions made on credit score and policy changes across the credit life cycle (adjudication, customer management and collections) with a focus on self-governing analysis of the risk-return trade-off given the credit risk profile of each proposal.

                                                                          +

                                                                          +

                                                                          Job Responsibilities:

                                                                          +

                                                                          +
                                                                          • The Director will be liable for – from conception through execution and governance – development and optimization of risk strategies, decisioning and forecasting models specific to small business product lines (leveraging enterprise-level data management tools and lead advanced analytics & modeling experts to develop advanced risk prediction strategies and models). The Director will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Local Risk teams, Provisions, Product, Risk Strategy & Risk Management, Model Validation

                                                                          • Under his/her guidance, the team of risk analytics experts will develop and run advanced risk segmentations, strategies and forecasting models that will be used to help manage Small Business capital and exposures which will require high levels of accuracy and precision, relatively easy to explain, are compliant, secure, and useful.

                                                                          • Contribute to defining the credit risk appetite and facilitate analysis that ensures the Small Business portfolios are performing with acceptable risk measures. Proactively and thoroughly screen the portfolio for emerging and long run trends which require action – develop and implement plans to adjust risk-taking or mitigating as required.

                                                                          • Aim to be an industry leader in developing innovative solutions for Small Business through the use of advanced analytics, agile principles and disciplined risk governance. Lead a team whose mandate is to modernize Credit Risk, act as an idea incubator and analytical use cases accelerator, leveraging non-traditional data, advanced tools and enterprise systems. Lead a team that relies on Credit Science expertise and key business partners to provide consulting services within GRM and help build the next generation of credit solutions at Scotiabank.

                                                                          • Leads and drives a data-analytics focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge. The team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premises private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools

                                                                          • Lead key projects, in an agile rapid lab environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with business line to apply advanced analytics techniques and tools. Identify and recommend opportunities to deliver innovative credit offers based on risk-reward framework and overall GRM’s strategy.

                                                                          • Evaluate situations, derive insights, synthesize results, and socialize high-quality recommendations effectively, both verbally, and in writing

                                                                          • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                                                          • +
                                                                          +

                                                                          +

                                                                          Job Requirements:

                                                                          +

                                                                          +
                                                                          • The Director role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities.

                                                                          • The candidate will be at the intersection of math/stats, computer science and domain knowledge in Risk Management and/or Finance.

                                                                          • She/he will take a prima role in agile rapid labs and risk-reward strategy development to drive innovation and transformation throughout the Bank and Global Risk Management

                                                                          • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field

                                                                          • A demonstrated history of analytic problem solving and sound judgment, along with wworking experience prima and delivering complex risk analytics projects covering full credit life cycle

                                                                          • Strong central understanding of statistics. Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)

                                                                          • Working experience of machine learning and other Artificial intelligence techniques for strategy create

                                                                          • Ability to lead create thinking and conduct ideation work sessions in agile rapid lab environment.

                                                                          • Must possess financial management and effective resource management skills combined with excellent decision-making skills.

                                                                          • Strong analytical skills and the ability to create and interpret information/data required to monitor the performance of the retail credit functions are essential.

                                                                          • Good understanding Small Business Banking operations across all channels

                                                                          • Must have organizational know-how, strong social skills, and influence in order to promote acceptance of new credit risk management methodologies and obtain commitment from others to facilitate the achievement of risk management goals and objectives.

                                                                          • Must be able to articulate their viewpoint/opinions to all levels within Scotiabank, as well as to senior executives. The incumbent must be able to represent Scotiabank on risk management issues in a multitude of external venues (e.g., government regulators, banking committees, external auditors, industry associations, credit risk forums/roundtables, etc.).

                                                                          • +
                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Credit-Risk-Oversight-&-Analytics%2C-Small-Business-ON-M5H1B6/581842017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-11T16:33:03.601Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/328652242-director-credit-risk-oversight-analytics-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Credit-Risk-Oversight-&-Analytics%2C-Small-Business-ON-M5H1B6/581842017/,expired,2024-06-13T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +303d2a75-d51f-441e-963e-0c3a0829b35d,331195820,Thomson Reuters,Applied Scientist,on_site,"Ontario, Canada",2024-06-27T11:16:02.997Z,"
                                                                          JOB DESCRIPTION
                                                                          +
                                                                          +
                                                                          +

                                                                          Applied Scientist

                                                                          +

                                                                          +
                                                                          +

                                                                          Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.

                                                                          +


                                                                          What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is responsible for designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for all of Thomson Reuters’ Research Products, including Westlaw, Practical Law, and Checkpoint.

                                                                          +


                                                                          As an Applied Scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research and engineering disciplines to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways. 

                                                                          +

                                                                          +

                                                                          About the role:

                                                                          +
                                                                          +

                                                                          In this opportunity as an Applied Scientist, you will:

                                                                          +

                                                                          +
                                                                            -
                                                                          • Demonstrated expertise in building data & analytics products.
                                                                          • -
                                                                          • Strong knowledge and experience in developing solutions in the worlds of data engineering and data science.
                                                                          • -
                                                                          • Excellent leadership and communication skills, capable of inspiring teams and building robust client relationships.
                                                                          • -
                                                                          • Strategic thinking and visioning skills in product development, preferably in large and complex environments.
                                                                          • +
                                                                          • +Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery. +
                                                                          • +
                                                                          • +Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. +
                                                                          • +
                                                                          • +Deliver: You will be accountable for timely, well-managed deliverables. +
                                                                          • +
                                                                          • +Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges. +
                                                                          • +
                                                                          • +Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. +

                                                                          -

                                                                          To qualify for the role you must have

                                                                          +
                                                                          +
                                                                          +

                                                                          About you:

                                                                          +

                                                                          You are a fit for the Applied Scientist role if your background includes:

                                                                          +
                                                                          +

                                                                          +
                                                                          +

                                                                          Basic qualifications:

                                                                            -
                                                                          • Master’s or Bachelor’s degree in Business, Computer Science or Engineering.
                                                                          • -
                                                                          • 8+ years of experience in product management, preferably with a significant focus data products and analytics offerings.
                                                                          • -
                                                                          • Proven experience in delivering outcomes, both for customers and for the business.
                                                                          • -
                                                                          • In-depth understanding of risk management principles, financial regulations, and digital technology trends.
                                                                          • +
                                                                          • PhD in a relevant discipline or Master’s plus a comparable level of experience.
                                                                          • +
                                                                          • At least one year industry experience building IR/NLP/ML systems
                                                                          • +
                                                                          • Solid software engineering skills for prototyping
                                                                          • +
                                                                          • Outstanding communication and data analysis skills

                                                                          -

                                                                          Ideally, you’ll also have

                                                                          +

                                                                          Preferred qualifications:

                                                                            -
                                                                          • A background in data engineering.
                                                                          • -
                                                                          • Experience in both 0 to 1 product management, and in-market product growth.
                                                                          • -
                                                                          • Scaled Agile leadership.
                                                                          • +
                                                                          • 5+ years practical experience building IR, ML or NLP systems in academia or industry
                                                                          • +
                                                                          • Experience designing and implementing solutions with large language models
                                                                          • +
                                                                          • Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.
                                                                          • +
                                                                          • +Advanced proficiency in Python, Java, or Scala +
                                                                          • +
                                                                          • +Experience writing production quality code and contributing to well-managed software delivery. +
                                                                          +
                                                                          +
                                                                          +

                                                                          -

                                                                          What we offer

                                                                          -


                                                                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                          -

                                                                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                          +

                                                                          #LI-JF1

                                                                          +
                                                                          +

                                                                          +

                                                                          What\'s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                            -
                                                                          • Support and coaching from some of the most engaging colleagues in the industry
                                                                          • -
                                                                          • Learning opportunities to develop new skills and progress your career
                                                                          • -
                                                                          • The freedom and flexibility to handle your role in a way that’s right for you
                                                                          • +
                                                                          • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

                                                                          • +
                                                                          • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

                                                                          • +
                                                                          • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

                                                                          • +
                                                                          • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

                                                                          • +
                                                                          • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

                                                                          • +
                                                                          • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          -

                                                                          Diversity and Inclusion at EY
                                                                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                          -


                                                                          If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                                          -


                                                                          The exceptional EY experience. It’s yours to build.

                                                                          -

                                                                          EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                          ",,https://careers.ey.com/ey/job/Toronto-Senior-Product-Leader-Data-and-Analytics-ON-M5H-0B3/1099675801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:09:36.418Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/337447938-senior-product-leader-data-and-analytics-at-ey,,expired,2024-08-09T17:09:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -f086a958-a685-42c8-90ee-60efd2ccbb3f,337447941,EY,Senior Consultant -Responsible AI-Technology Risk -Assurance,on_site,"Toronto, ON, Canada",2024-08-09T17:11:03.283Z,"

                                                                          Job description

                                                                          -

                                                                          Requisition ID: 1527857

                                                                          -

                                                                          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                          -

                                                                          Creating confidence and trust in data and technology is becoming a greater societal concern with the growth of emerging technologies, such as Artificial Intelligence (AI). Understanding risks arising from the implementation and use of technology is increasingly important to accelerating business performance and achieving sustainable growth. The ability to understand these risks and bridge the knowledge gap that often exists between business and IT is the core strength of EY’s Technology Risk team. Our Responsible AI professionals provide independent advice and assurance to our clients over the design and operation of their internal controls over AI, the security of their AI systems, the delivery of AI usage, their relationships with third parties, and their management, stewardship and ability to exploit business critical data.

                                                                          -


                                                                          The opportunity
                                                                          EY is investing in our Responsible AI practice. We are seeking a Senior to join our Technology Risk – Responsible AI team to help our clients integrate responsible AI considerations, including fairness, transparency, reliability, security and accountability into their AI initiatives. You will assist in managing engagement teams, as well as working directly with clients in evaluating the sufficiency of their AI governance, risk management and control practices related to AI model development, testing and deployment to maximize efficiencies and minimize risk.

                                                                          -

                                                                          You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge on risk management and AI regulations while developing your skillset to keep up with the ever-growing demands on AI capabilities. This is a high growth area with plenty of opportunity to enhance your skillset and build your career.

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          +

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          +
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ178362/Applied-Scientist?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-07-11T07:31:01.832Z,False,0,5,40,https://talenthub.vectorinstitute.ai/jobs/331195820-applied-scientist-at-thomson-reuters,,expired,2024-06-27T11:16:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,PhD,New Posting, +7e7ef60a-b05f-4da2-b810-b5967c3fc636,333067540,CIBC,Data Scientist (12 month Secondment),on_site,"Ontario, Canada",2024-07-08T07:16:01.435Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          +

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          +

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          What You’ll Be Doing

                                                                          -

                                                                          Your Key Responsibilities:

                                                                          -

                                                                          As a Responsible AI Senior, you will supervise junior team members and work with a variety of clients to assess and evaluate their AI governance, risk management and control frameworks. Specific responsibilities include:

                                                                          +

                                                                          The Advanced Analytics and AI team is the central hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest in big data technology platforms. We engage in collaborations with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent.

                                                                          +

                                                                          As a Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                                                                          +

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          +

                                                                          +

                                                                          How You’ll Succeed

                                                                            -
                                                                          • Conduct independent evaluations of the sufficiency of clients’ internal policies, procedures and practices against EY’s Responsible AI framework, industry guidelines and regulatory requirements.
                                                                          • -
                                                                          • Execution of audit procedures of AI systems in support of financial statement audits, service organization control reports and internal audits.
                                                                          • -
                                                                          • Internal Controls Attestations – Providing an opinion on management’s assertion over business processes and controls, including controls over AI systems.
                                                                          • -
                                                                          • Provide high quality professional day-to-day management of engagements/projects and understand EY’s practices and service offerings and identify potential opportunities to improve such service offerings.
                                                                          • -
                                                                          • Lead and support the on-site coordination role for clients including planning, briefing team on the client's AI environment and industry AI trends, coaching and mentoring staff, communicating with the clients and completing assessment or audit engagements.
                                                                          • -
                                                                          • Support preparation of AI-related reports on the adequacy and effectiveness of control structure, along with practical recommendations to improve the effectiveness, efficiency of a control or process.
                                                                          • -
                                                                          • Leverage understanding of AI technology and responsible AI trends to develop practical recommendations to improve the effectiveness and efficiency of a control or process.
                                                                          • -
                                                                          • Able to discuss and resolve issues and recommendations with client management.
                                                                          • +
                                                                          • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                          • +
                                                                          • Trusted Analytical Partner: You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                                                                          • +
                                                                          • Ignite innovation, drive actions: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                                                                          -

                                                                          Additional Responsibilities:

                                                                          +

                                                                          +

                                                                          Who You Are

                                                                            -
                                                                          • Assist the team in preparing go-to-market materials for Responsible AI services for both internal and external use.
                                                                          • -
                                                                          • Lead and support teams including delivering virtual and classroom-based AI-related audit training.
                                                                          • -
                                                                          • Maintain relationships with client management to manage expectations of service, including work products, timing, and value delivered.
                                                                          • -
                                                                          • Maintain long-term client relationships and networks and cultivate business development opportunities.
                                                                          • +
                                                                          • You can demonstrate experience in. predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                                                                          • +
                                                                          • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                          • +
                                                                          • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                                                                          -

                                                                          Skills and attributes for success:

                                                                          +

                                                                          +

                                                                          What CIBC Offers

                                                                          +

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

                                                                            -
                                                                          • Experience with responsible AI practices, risk governance, control frameworks and principles .
                                                                          • -
                                                                          • Understanding of types of AI models and AI lifecycle stages.
                                                                          • -
                                                                          • Staying abreast of AI technology trends and provide directional guidance and recommendations around responsible AI practices and principles.
                                                                          • -
                                                                          • Applying combined business and technical knowledge to develop and execute assessments and evaluations of AI governance, risk management and control frameworks.
                                                                          • -
                                                                          • Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, and DevOps to incorporate responsible AI practices into the client’s AI program.
                                                                          • -
                                                                          • Collaborating with clients to understand their business objectives and develop tailored responsible AI strategies aligned with their values and regulatory obligations.
                                                                          • -
                                                                          • Providing advice in the design and implementation of ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, reliability, security and accountability.
                                                                          • -
                                                                          • Highly professional with ability to work in challenging, diverse and evolving client environments.
                                                                          • -
                                                                          • Flexible with the ability to learn quickly and leverage skills in new situations.
                                                                          • -
                                                                          • Seeking out information to learn about emerging responsible AI methodologies and AI technologies.
                                                                          • -
                                                                          • Looking for opportunities for improving methods and outcomes.
                                                                          • -
                                                                          • Excellent verbal and written communication skills.
                                                                          • -
                                                                          • The ability to build strong client relationships.
                                                                          • -
                                                                          • Strong team working skills are essential.
                                                                          • -
                                                                          • Strong presentation and facilitation skills.
                                                                          • -
                                                                          • A passion to contribute to the growth of the practice.
                                                                          • -
                                                                          • Strong experience interacting with clients at all levels including staff, leadership and partners.
                                                                          • -
                                                                          • Strong written, communication, and presentation skills.
                                                                          • -
                                                                          • Ability to coach and mentor junior staff on engagements.
                                                                          • +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          -

                                                                          To qualify for the role, you must have:

                                                                          +

                                                                          +

                                                                          *Subject to program terms and conditions

                                                                          +

                                                                          +

                                                                          +

                                                                          What you need to know

                                                                            -
                                                                          • A minimum of 2 - 4 years of experience in IT audits and/or risk assessments and/or technology evaluations, including AI.
                                                                          • -
                                                                          • Bachelor’s Degree (or higher) in Data Science, Statistics, Mathematics, Business Administration, Commerce, Computer Science, Management Information Systems, or other relevant program required.
                                                                          • -
                                                                          • Possessing relevant audit or technology-related designation(s) or working towards one (e.g. CPA, CISA, CIA, CISSP, CISM) is required.
                                                                          • -
                                                                          • Practical knowledge in any of the following areas: AI technologies, AI ethics, AI risks and controls, responsible AI principles, data governance.
                                                                          • -
                                                                          • Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
                                                                          • -
                                                                          • Proficiency using MS Office Suite including Excel, Word, OneNote and PowerPoint.
                                                                          • -
                                                                          • Experience leveraging analytic tools, including the collection and preparation of data and evaluating data quality.
                                                                          • -
                                                                          • Strong analytical, interpersonal, and communication skills.
                                                                          • -
                                                                          • Independent and able to manage and prioritize workload.
                                                                          • -
                                                                          • Ability to adapt quickly and positively to change.
                                                                          • -
                                                                          • Ability to obtain Government of Canada Secret clearance.
                                                                          • -
                                                                          • Willingness to travel.
                                                                          • +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

                                                                          • +
                                                                          • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                          -

                                                                          Ideally, you’ll also have (good to have):

                                                                          +

                                                                          +

                                                                          +

                                                                          Expected End Date

                                                                          2025-04-25

                                                                          +

                                                                          Job Location

                                                                          Toronto-81 Bay, 21st Floor

                                                                          +

                                                                          Employment Type

                                                                          Temporary (Fixed Term)

                                                                          +

                                                                          Weekly Hours

                                                                          37.5

                                                                          +

                                                                          Skills

                                                                          Big Data, Databricks Platform, Data Science, Data Visualization, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Data Modeling, Structured Query Language (SQL)
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--12-month-Secondment-_2406599?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-07-11T07:21:01.578Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/333067540-data-scientist-12-month-secondment-at-cibc,,expired,2024-07-08T07:16:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +8260ee55-05a0-474b-82c4-161746cd7804,333068854,Canadian Tire Corporation,Data Scientist,on_site,"Ontario, Canada",2024-07-08T07:41:01.360Z,"
                                                                          +

                                                                          What you’ll do

                                                                          +

                                                                          +

                                                                          We are the financial services division of one of Canada’s most trusted and recognized retailers in the country. It is our mandate to continue to create innovative financial solutions that our customers love. Our growing suite of products and services are a testament to the dynamic contributions of our employees and our continued focus on innovation. Our success is driven by a strong vision, loyal customers, and our ability to build teams that are reflective of the diverse customers and communities where we work and live.

                                                                          +

                                                                          +

                                                                          The mandate of the Customer Analytical Center of Excellence of Canadian Tire Bank is to provide world class analytics to maximize our credit card portfolio profitability by balancing risk with reward potential.

                                                                          +

                                                                          +

                                                                          In this role, you will:

                                                                            -
                                                                          • Certification in relevant areas such as AI ethics, data ethics and responsible AI, such as AI Ethics Certification, Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or International Association of Privacy Professionals’ AI Governance Professional designation.
                                                                          • -
                                                                          • Understanding of python, R+, and model design.
                                                                          • -
                                                                          • Data governance and/or data security protection experience.
                                                                          • -
                                                                          • Experience with evaluating compliance with regulations and incorporating new AI regulations and laws within engagements, specifically the Digital Services Act (DSA), European Union AI Act, and US AI guidelines/laws.
                                                                          • -
                                                                          • Familiarity with the National Institute of Standards and Technology AI Risk Management Framework and the ISO/IEC 42001 standard.
                                                                          • +
                                                                          • Analyze portfolio performance and translate results into actionable recommendations

                                                                          • +
                                                                          • Develop, maintain, support, and monitor IFRS 9 Expected Credit Loss and Stress Test models

                                                                          • +
                                                                          • Work closely with Finance and Credit Risk teams to apply a rounded understanding of the portfolio into the work you produce

                                                                          • +
                                                                          • Provide clear communication of analyses and results to key stakeholders and senior management

                                                                          • +
                                                                          • Manage multiple work assignments in a constantly changing business environment

                                                                          -

                                                                          What We Look For
                                                                          We’re interested in passionate professionals with a desire to deeply understand the trends at the intersection of business, AI and data, risk management, compliance and regulations. We want a customer-focused individual who is motivated to act as an ambassador for the Responsible AI team to exceed our clients' high expectations. We’re interested in highly motivated talented individuals with a strong willingness to think outside of the box. You can expect plenty of autonomy in this role, so you’ll need the motivation to take initiative and seek out opportunities to improve our current relationships and expand our business in the evolving market. If you’re serious about shaping the future with confidence and ready to take on some of our clients’ most complex issues, this role is for you.

                                                                          -


                                                                          What We offer
                                                                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                          -


                                                                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                          +

                                                                          +

                                                                          What you bring

                                                                            -
                                                                          • Support and coaching from some of the most engaging colleagues in the industry
                                                                          • -
                                                                          • Learning opportunities to develop new skills and progress your career
                                                                          • -
                                                                          • The freedom and flexibility to handle your role in a way that’s right for you
                                                                          • +
                                                                          • University degree in a quantitative discipline, Mathematics, Statistics, preferred

                                                                          • +
                                                                          • 3+ years of relevant experience in a predictive modeling, data analytics, or data science role

                                                                          • +
                                                                          • Proven ability to program in pertinent languages, including SAS, SQL, Excel

                                                                          • +
                                                                          • Proven ability to translate business needs into statistically sound solutions, and vice versa

                                                                          • +
                                                                          • Big picture thinking: Ability to step back and understand impacts on a larger scale

                                                                          • +
                                                                          • Strong written and oral communication skills when presenting analytical results to business stakeholders

                                                                          • +
                                                                          +

                                                                          +

                                                                          Nice to Have

                                                                          +
                                                                            +
                                                                          • Knowledge of IFRS9 and Expected Credit Loss (PD, LGD, EAD methodologies)

                                                                          • +
                                                                          • Knowledge of Credit Risk Management

                                                                          • +
                                                                          • Knowledge of Macroeconomic Stress Testing

                                                                          • +
                                                                          +

                                                                          +

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          +

                                                                          +

                                                                          +

                                                                          #LI-GS1

                                                                          +

                                                                          +

                                                                          About Us

                                                                          +

                                                                          +

                                                                          At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there\'s a place for you here.

                                                                          +

                                                                          +

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          +

                                                                          +

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .

                                                                          +

                                                                          +

                                                                          Accommodations

                                                                          +

                                                                          +

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          +

                                                                          +

                                                                          +
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Oakville-ON/Data-Scientist_JR132709?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-07-15T05:58:02.979Z,False,0,12,46,https://talenthub.vectorinstitute.ai/jobs/333068854-data-scientist-at-canadian-tire-corporation,,expired,2024-07-08T07:41:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +50fdd409-63da-465e-9ee4-ab0140157f81,331856786,Sun Life Financial,"Director, Finance Data Analytics",on_site,"Ontario, Canada",2024-07-01T07:45:01.944Z,"
                                                                          +

                                                                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          +

                                                                          Role Summary

                                                                          +

                                                                          +

                                                                          As part of our journey to modernize and drive efficiencies across the Finance function, the Finance Data and Analytics team within Enterprise Finance plays an important role being responsible for finance data governance, digital management reporting including the effective use of BI tools, the supporting underlying data storage and integrity, and business data models.

                                                                          +

                                                                          +

                                                                          As a member of the Finance Data and Analytics team, reporting to the AVP Finance Data and Analytics, the Director, Finance Data Analytics will be key in bringing Enterprise Finance’s Analytics Strategy to life and further enabling a data insights driven culture. This role will be crucial in driving consistency, quality and reducing redundancies across Finance, while leveraging tools and technology to automate activities and digitize self serve analytics.

                                                                          +

                                                                          +

                                                                          The Director, Finance Data Analytics, will be responsible for leading a team to deliver Finance’s data analytics projects, including workstream management, problem definition and structuring, collaboration, and leadership of cross-functional teams, providing updates, and timely execution of deliverable. They will seek opportunities to gain value from the data and underlying data architecture (post IFRS 17 SunRise project) to advance and improve our use of data towards broader finance insights and analytics.

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                          +
                                                                            +
                                                                          • Create alignment with other areas of the global Finance organization on a set of consistent practices, capabilities, and standards in how we gain data insights within Finance.

                                                                          • +
                                                                          • Provide input to data strategy and processes, including intake, new data sources, database design and structure and data integrity that enables broad use of data analytics in Finance

                                                                          • +
                                                                          • Partner with Technology (DBTS) in supporting the deployment of effective data analytics and data science solutions.

                                                                          • +
                                                                          • Establish collaborative relationships with various internal and external partners to implement best practices.

                                                                          -

                                                                          Diversity and Inclusion at EY

                                                                          -

                                                                          -

                                                                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                          -

                                                                          EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                          ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103701501/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:11:05.532Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/337447941-senior-consultant-responsible-ai-technology-risk-assurance-at-ey,,expired,2024-08-09T17:11:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -af55a8af-8c53-4b50-9f55-1a93811a6963,339831443,Vector Institute,Data Integration Specialist,on_site,"Ontario, Canada",2024-08-29T16:15:02.191Z,"

                                                                          DATA INTEGRATION SPECIALIST

                                                                          -

                                                                          -

                                                                          POSITION SUMMARY

                                                                          -

                                                                          Reporting to the Systems Operations Manager, the Data Integration Specialist is responsible for designing and implementing data integrations and optimizations across various business systems, automating workflows, and establishing a data warehouse and business analytics environment. This role collaborates closely with the Business Analyst, project managers and business users to identify and define integration requirements. The Data Integration Specialist will partner with the Technology team to develop the organization’s data architecture, reporting, and analytics environment, while selecting and implementing data management tools and platforms. This position plays a key role in supporting our user community and shaping Vector’s system’s strategy and business analytics environment.

                                                                          -


                                                                          -

                                                                          KEY RESPONSIBILITIES

                                                                          -
                                                                            -
                                                                          • Works with various business units to identify, map, document and implement optimization solutions.
                                                                          • -
                                                                          • Define and develop data integration processes between core business systems.
                                                                          • -
                                                                          • Recommend, create and optimize automated workflows using a combination of application specific tools and 3rd party integration tools that you will help select.
                                                                          • -
                                                                          • Apply basic coding and ETL scripting concepts and languages to develop and maintain data integration processes.
                                                                          • -
                                                                          • Design and implement a data warehouse to effectively store and manage the organization’s data.
                                                                          • -
                                                                          • Develop data extraction processes to pull data from the organization\'s business systems to its data warehouse.
                                                                          • -
                                                                          • Establish a business analytics environment to facilitate data-driven decision-making across the organization.
                                                                          • -
                                                                          • Identify and address data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability.
                                                                          • -
                                                                          • Support and enforce data privacy and security protocols by analyzing underlying causes of problems and ensuring system and data integrity.
                                                                          • -
                                                                          • Coordinate with other technical staff to develop databases as required.
                                                                          • -
                                                                          • Recommend, develop, and implement process tools to ensure quality, integrity and security of data.
                                                                          • -
                                                                          • Evaluate and select appropriate systems, tools, and services to build and maintain the organization\'s data management processes and environment.
                                                                          • -
                                                                          -


                                                                          -

                                                                          KEY SUCCESS MEASURES

                                                                          -
                                                                            -
                                                                          • Workflows and processes across Vector are automated and optimized as is appropriate.
                                                                          • -
                                                                          • Effective selection and use of data integration methods including ETL (Extract, Transform, Load), data warehousing, and API integration.
                                                                          • -
                                                                          • Ensure data consistency, accuracy, currency and flow.
                                                                          • -
                                                                          • -Foster active communication and engagement with internal and external stakeholders to ensure alignment on data integration initiatives.


                                                                            -
                                                                          • +
                                                                              +
                                                                            • Oversee, in partnership with Digital Business Technology and Solutions (DBTS), the development, production, and support of Enterprise Finance analytics.

                                                                            • +
                                                                            • Identify and prioritize new use cases, including predictive analytics, advanced analytics and GenAI use-cases, in partnership with the Finance stakeholders.

                                                                            • +
                                                                            • Work with stakeholders to understand the needs, uses, and data flows in their area.

                                                                            • +
                                                                            • Manage and oversee to securely integrate high-quality data and make it accessible to users

                                                                            • +
                                                                            • Collaborate and partner with DBTS to build out technical capabilities and consistent practices

                                                                            • +
                                                                            • Work closely with the Finance business areas and product owners to gather requirements and other use cases, and implement solutions that will reduce redundancies, improve transparency, and increase efficiencies

                                                                            • +
                                                                            • Leverage Tableau (Business Intelligence (BI) tool) and other technologies to unify multiple data sources, automate and improve operational efficiencies, and drive for the delivery of self-serve rich “blink and think” visuals that can be easily shared and developed

                                                                            • +
                                                                            • Adopt an agile development methodology to deliver analytics

                                                                            • +
                                                                            • Maintain an understanding of external developments, disseminate to the Finance organization, and identify opportunities for emerging technologies and trends in the data analytics space

                                                                            • +
                                                                            • Prepare and present materials for senior management and other key stakeholders with recommendations and progress updates

                                                                            • +
                                                                            • Foster a culture of ownership, innovation, and continuous improvement

                                                                            -

                                                                            PROFILE OF THE IDEAL CANDIDATE

                                                                            -
                                                                              -
                                                                            • A degree or diploma in computer science or engineering, or equivalent knowledge obtained through work experience.
                                                                            • -
                                                                            • A minimum of 3 years professional experience implementing data integrations and developing workflow automations in a similar or related role.
                                                                            • -
                                                                            • Proficient technical knowledge of current database software, protocols, and standards.
                                                                            • -
                                                                            • Understanding APIs, Web Services, and Microservices: this technical expertise allows for the creation of connectors and adapters necessary for integrating disparate systems.
                                                                            • -
                                                                            • Skills in relevant scripting and programming language to enable the customization and automation of integration processes.
                                                                            • -
                                                                            • Proven communication skills, problem-solving skills, and knowledge of integration best practices.
                                                                            • -
                                                                            • Salesforce experience is highly advantageous.
                                                                            • -
                                                                            • Familiarity with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
                                                                            • -
                                                                            • Experience with a range of integration and data management tools and platforms.
                                                                            • -
                                                                            -


                                                                            -

                                                                            At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

                                                                            -

                                                                            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=506678&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-09-28T17:50:39.347Z,False,0,6,60,https://talenthub.vectorinstitute.ai/jobs/339831443-data-integration-specialist-at-vector-institute,,expired,2024-08-29T16:15:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, -5fea280f-eb98-47b9-8669-c5879d4c5115,339840460,League,Senior Customer Business Intelligence Engineer,full,Canada,2024-08-29T19:07:27.818Z,"

                                                                          About League

                                                                          -

                                                                          Founded in 2014, and with a total funding currently at $220 million; League is a platform technology company powering next-generation healthcare consumer experiences. Payers, providers, consumer health partners and employers build on League’s platform to deliver high-engagement, personalized healthcare experiences consumers love. Millions of people use solutions powered by League to access, navigate and pay for care.

                                                                          -

                                                                          The role

                                                                          As a Senior Customer Business Intelligence Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it. In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.

                                                                          -

                                                                          People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with customers and non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                                                          -

                                                                          Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                                                          -


                                                                          In this role, you will:

                                                                          -
                                                                            -
                                                                          • Manage the deployment of data products for League’s customers including the configuration of our data models based on the customer’s feature set.
                                                                          • -
                                                                          • Communicate directly with customers to coordinate product launches, as well as ongoing support with issues and questions about our data models
                                                                          • -
                                                                          • Collaborate with product and engineering teams to ensure that the impact on data sources and data models is considered during product development
                                                                          • -
                                                                          • Support data analysts, data scientists and product managers by understanding how they will be working with our data and adjust designs accordingly
                                                                          • -
                                                                          • Develop best practices for data model design and documentation, and promote the use of these practices by other members of the data team
                                                                          • -
                                                                          • Build strong relationships with both internal stakeholders and with customers
                                                                          • -
                                                                          • Identify opportunities for technical investments to help teams meet business objectives
                                                                          • -
                                                                          -

                                                                          Attributes

                                                                          -
                                                                            -
                                                                          • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                                                          • -
                                                                          • You are a strong problem solver and can communicate the challenges and solutions effectively
                                                                          • -
                                                                          • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                                                          • -
                                                                          • You drive to learn and master new technologies and techniques.
                                                                          • -
                                                                          • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                                                          • -
                                                                          • You are eager to learn from others and help others grow with you.
                                                                          • -
                                                                          -


                                                                          What you bring:

                                                                          -
                                                                            -
                                                                          • Strong SQL skills, comfortable working with python and experience working with a modern ETL framework, such as Airflow
                                                                          • -
                                                                          • Experience working as a data engineer, analytics engineer, data analyst or data scientist
                                                                          • -
                                                                          • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                                                          • -
                                                                          -

                                                                          Nice To Have Experience

                                                                          +

                                                                          +

                                                                          Team Leadership:

                                                                            -
                                                                          • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                                                          • -
                                                                          • Healthcare industry experience
                                                                          • -
                                                                          • Worked with a SaaS company on customer facing data products
                                                                          • -
                                                                          • Backend Software Engineering experience and understanding
                                                                          • +
                                                                          • Lead, coach, and develop a high-performing team, specialized in building, implementing and operating data analytics, both direct reports and cross-functional extended team

                                                                          • +
                                                                          • Provide professional development and mentorship to data scientists, data engineers and BSAs, ensure engagement and attract talent

                                                                          -

                                                                          Security-related responsibilities

                                                                          +

                                                                          What you will need to succeed?

                                                                            -
                                                                          • Compliance with Information Security Policies
                                                                          • -
                                                                          • Compliance with League’s secure coding practice
                                                                          • -
                                                                          • Responsibility and accountability for executing League's policies and procedures
                                                                          • -
                                                                          • Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
                                                                          • +
                                                                          • 7+ years relevant business experience in data science/ advanced analytics, data engineering, strategy, governance, ideally as a practitioner within data and/or analytics

                                                                          • +
                                                                          • Expertise in Analytics life-cycle and best practices for developing, testing, rolling out, operating and maintaining a portfolio of data analytics

                                                                          • +
                                                                          • Technical expertise with mathematical algorithms, libraries, Python or other coding languages, as well as AWS/ tools enabling prototyping or operating such analytics

                                                                          • +
                                                                          • Strong understanding of data architecture, relational databases (MS SQL), MS Office

                                                                          • +
                                                                          • Ability to translate business requirements to technology requirements and vice versa

                                                                          • +
                                                                          • Knowledge of data privacy and security practices relevant to the Financial Services industry

                                                                          • +
                                                                          • Strong results-oriented project management skills – well-organized, with strong attention to detail and quality

                                                                          • +
                                                                          • Excellent oral and written communication, and presentation skills, catering to various levels of management and audience with varying degrees of subject matter comprehension

                                                                          • +
                                                                          • Excellent negotiation and collaboration skills

                                                                          • +
                                                                          • Proven ability to influence the performance of others to deliver results

                                                                          • +
                                                                          • Proactive and self-motivated with strong problem solving, organizational skills and sound decision-making ability

                                                                          • +
                                                                          • Technology collaborator, building close partnership with technology teams to deliver solutions

                                                                          -

                                                                          CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.

                                                                          -

                                                                          Compensation range for Canada applicants only

                                                                          -

                                                                          $120,900 - $181,300 CAD

                                                                          -

                                                                          Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.
                                                                          We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                                                          Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

                                                                          +

                                                                          +

                                                                          What will be nice to have?

                                                                            -
                                                                          • You should receive a confirmation email after submitting your application.
                                                                          • -
                                                                          • A recruiter (not a computer) reviews all applications at League.
                                                                          • -
                                                                          • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                                                          • -
                                                                          • The final step is an offer, which we hope you will accept!
                                                                          • -
                                                                          • Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
                                                                          • +
                                                                          • Advanced degree in Computer Science, Data Science, Engineering, Mathematics or related discipline

                                                                          • +
                                                                          • Experience in financial services, preferably in the Finance and/or Actuarial field

                                                                          • +
                                                                          • Understanding of and experience in operating in an Agile model

                                                                          • +
                                                                          • Knowledge of multi-platform data environments and data architecture

                                                                          -

                                                                          Here are some additional resources to learn more about League:

                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          -

                                                                          Recognize and Avoid Employment scams. Practice safe job searching.

                                                                          -

                                                                          Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. Privacy PolicyReview our Privacy Policy for information on how League is protecting personal data.

                                                                          ",,https://job-boards.greenhouse.io/leagueinc/jobs/5254873004,aitalent@vectorinstitute.ai,https://league.com/ca/careers-at-league/,,,2024-09-28T19:07:29.951Z,False,0,1,31,https://talenthub.vectorinstitute.ai/jobs/339840460-senior-customer-business-intelligence-engineer-at-league,,expired,2024-08-29T19:07:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -d765b003-cfa9-4057-b282-16b9f55b4b4c,343275876,RBC,"Senior Data Engineer, GFT",on_site,"Toronto, ON, Canada",2024-09-23T08:19:03.393Z,"
                                                                          -

                                                                          Job Summary

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

                                                                          +

                                                                          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                                                          -

                                                                          Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

                                                                          +

                                                                          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                                                          -

                                                                          As a Data Engineer you will be a part of the IDEA team, performing ETL activities, data modeling and building the data infrastructure that powers effective decision-making. You will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to automate several critical processes within the organization. You will be working in a cross functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets. You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with IDEA and GFT strategic objectives.

                                                                          +

                                                                          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                                                          -

                                                                          What will you do?

                                                                          -
                                                                            -
                                                                          • Work in partnership with other developers on the team to build data pipelines to support data models and ensure data quality throughout processing, automation, and modeling

                                                                          • -
                                                                          • Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it

                                                                          • -
                                                                          • Manage multiple complex projects, identifying dependencies and working on parallel tracks independently

                                                                          • -
                                                                          • Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.

                                                                          • -
                                                                          • Collaborate with the development team to track and resolve data quality issues or discrepancies.

                                                                          • -
                                                                          • Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.

                                                                          • -
                                                                          • API services development and enhancement

                                                                          • -
                                                                          +

                                                                          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                                                          -

                                                                          What do you need to succeed?

                                                                          -

                                                                          Must Have

                                                                          -
                                                                            -
                                                                          • 5+ years of experience in data engineering, performance optimization for large data driven applications.

                                                                          • -
                                                                          • Experience with multiple integration/ETL patterns: batch, streaming, API/microservices

                                                                          • -
                                                                          • Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications

                                                                          • -
                                                                          • Working knowledge of modern data architecture and platforms: cloud, data mesh, Data Lakehouse, delta lake

                                                                          • -
                                                                          • Working knowledge of SQL language, proficiency with at least one programming language preferably Python, Spark, Non-relational databases, Airflow, Kafka, Redis.

                                                                          • -
                                                                          • Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively

                                                                          • -
                                                                          • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

                                                                          • -
                                                                          • Experience with OpenShift, S3

                                                                          • -
                                                                          • Ability to work independently and in a team

                                                                          • -
                                                                          +

                                                                          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                                                          -

                                                                          Nice to Have

                                                                          -
                                                                            -
                                                                          • Knowledge of machine learning and data science concepts and tools.

                                                                          • -
                                                                          • Knowledge of any other programming languages such as Javascript or Java

                                                                          • -
                                                                          • Understanding and passion for machine learning/AI

                                                                          • -
                                                                          • Experience working with at least one of Snowflake, PostgreSQL, and/or other DBMS platforms

                                                                          • -
                                                                          +

                                                                          Salary Range:

                                                                          105,000/105 000 - 175,000/175 000

                                                                          +

                                                                          Job Category:

                                                                          Advanced Analytics

                                                                          +

                                                                          Posting End Date:

                                                                          14/07/2024
                                                                          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Finance-Data-Analytics_JR00095837?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2024-07-15T06:08:03.349Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/331856786-director-finance-data-analytics-at-sun-life-financial,,expired,2024-07-01T07:45:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +8ecd79fe-f579-462e-9efc-715e9cdf1c31,327936969,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-06-09T16:41:01.614Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +
                                                                          Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                                                                          +

                                                                          +
                                                                          +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. +
                                                                          +
                                                                          +

                                                                          As a Member of Technical Staff, you will:

                                                                          +
                                                                              +
                                                                            • Design, build and scale AI systems for serving our users.
                                                                            • +
                                                                            • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                                                                            • +
                                                                            • Learn from and work with the best researchers in the field.
                                                                            • +
                                                                          +
                                                                          +

                                                                          You may be a good fit if you have:

                                                                          +
                                                                              +
                                                                            • Extremely strong software engineering skills.
                                                                            • +
                                                                            • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                                            • +
                                                                            • Experience writing kernels for GPUs using CUDA.
                                                                            • +
                                                                            • Experience training on TPUs.
                                                                            • +
                                                                            • Experience using large-scale distributed training strategies.
                                                                            • +
                                                                            • Familiarity with autoregressive sequence models, such as Transformers.
                                                                            • +
                                                                            • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                                            • +

                                                                              +
                                                                              * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                              +
                                                                          +
                                                                          +

                                                                          +

                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-07-10T16:01:09.335Z,False,0,5,60,https://talenthub.vectorinstitute.ai/jobs/327936969-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-06-09T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, +7083b266-4c33-4605-90d6-c78a52d7878f,337369985,TD Bank Group,"Manager, Data Scientist",on_site,"Toronto, ON, Canada",2024-08-08T20:49:59.249Z,"

                                                                          Work Location:

                                                                          +

                                                                          Canada

                                                                          -

                                                                          What’s in it for you?

                                                                          -

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +

                                                                          Hours:

                                                                          +

                                                                          37.5

                                                                          +

                                                                          +

                                                                          Line of Business:

                                                                          +

                                                                          Data & Analytics

                                                                          +

                                                                          +

                                                                          Pay Details:

                                                                          +

                                                                          We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description:

                                                                          +

                                                                          Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

                                                                          +

                                                                          +

                                                                          KEY ACCOUNTABILITIES

                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities

                                                                          • -
                                                                          • Ability to make a difference and lasting impact

                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

                                                                          • -
                                                                          • A world-class training program in financial services

                                                                          • -
                                                                          • Opportunities to do challenging work, to take on progressively greater accountabilities, to building close relationships with clients

                                                                          • -
                                                                          • Access to a variety of job opportunities across business and geographies.

                                                                          • +
                                                                          • Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
                                                                          • +
                                                                          • Work closely with business owners to identify opportunities and serve as an ambassador for data science
                                                                          • +
                                                                          • Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
                                                                          • +
                                                                          • Design and deliver enterprise analytic solutions to our customers
                                                                          • +
                                                                          • Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
                                                                          • +
                                                                          • Build complex statistical models that learn from and scale to petabytes of data.
                                                                          • +
                                                                          • Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
                                                                          • +
                                                                          • Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
                                                                          • +
                                                                          • Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
                                                                          • +
                                                                          • Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
                                                                          • +
                                                                          • Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
                                                                          • +
                                                                          • Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
                                                                          • +
                                                                          • Be comfortable working through ambiguity and help make informed decisions
                                                                          • +
                                                                          • Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
                                                                          • +
                                                                          • Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
                                                                          • +
                                                                          • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
                                                                          • +
                                                                          • Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
                                                                          • +
                                                                          • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                                                                          • +
                                                                          • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

                                                                          -

                                                                          #LI-Post

                                                                          -

                                                                          #LI-Hybrid

                                                                          -

                                                                          #LI-PK

                                                                          -

                                                                          #TechPJ

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Skills

                                                                          Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-09-06

                                                                          Application Deadline:

                                                                          2024-09-27

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -
                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000098473/Senior-Data-Engineer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-09-30T08:25:03.383Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/343275876-senior-data-engineer-gft-at-rbc,,expired,2024-09-23T08:19:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -8ef2765e-c54d-46ba-8fd7-3b8d55e6a130,343307680,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Scarborough,2024-09-23T16:30:02.883Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 207294

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          The Role

                                                                          -

                                                                          -

                                                                          Contributes to the overall success of Fraud Management - ensuring specific individual goals, and initiatives are delivered in support of business strategies and priorities to protect the Bank and our customers. As Manager, Data Engineer, you will be a key member of our Fraud Business Intelligence team that provides fact based operational insights to Canada Fraud Operations. Leveraging your expertise in data modeling, data engineering, data visualization, and strong analytical background, to organize and transform raw data into actionable meaningful information. You will be responsible for the full scorecard and metric development lifecycle that includes analysis and requirements gathering, data profiling/mapping, data modelling and ETL development.

                                                                          -

                                                                          Is this role right for you? In this role you will:

                                                                          -

                                                                          -

                                                                          This is a highly technical role that requires close stakeholder engagement, main accountabilities are:

                                                                          -
                                                                          • -Work closely with stakeholders to understand business needs, data specifications and translate requirements into metrics, technical design and wireframe; Define and develop actionable KPIs/metrics that align with strategic goals within Fraud Management
                                                                          • -Act as subject matter expert on Fraud datasets and source systems
                                                                          • -Develop data pipelines and design dimensional data model that will provide insights into business problems within Azure Cloud
                                                                          • -Support Senior Manager, Business Intelligence on establishing and enhancing BI framework and standards, and optimizing change management process
                                                                          • -Production Level 1 support to sustain BI features after release, prioritize fixes for defects, monitor report usage and identify value-add functionalities to improve adoption
                                                                          • -Be an active member of a scrum team, leveraging agile methodology for incremental and early delivery of MVP features; actively participate in scrum ceremonies to continuously improve BI product
                                                                          • -Capable of working on multiple activities simultaneously in a highly dynamic environment and capable of understanding complex requirements and meeting project deadlines
                                                                          • -Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                                                          • -Actively pursues effective and efficient operations of their respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct
                                                                          • -
                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                                                          -

                                                                          -
                                                                          • Post-secondary degree in Computer Science, Engineering, or related STEM discipline
                                                                          • 5+ years of hands-on experience in Business Intelligence/Data Warehousing
                                                                          • Expert knowledge of SQL and dimensional data modelling
                                                                          • 1-2 years working with Azure Cloud – SQL MI, Data Factory, and Data Flow
                                                                          • 1-2 years working with Azure DevOps pipeline and TFS code repository
                                                                          • Minimum of 1 year developing data visualizations using Power BI
                                                                          • Experience working within a scrum team and an agile environment
                                                                          • Experience working with Power platform (PowerApps, PowerAutomate, PBI copilot) as asset
                                                                          • Prior experience supporting Fraud KPI reporting as asset
                                                                          • Strong verbal, written, presentation & communication skills
                                                                          • Proactive, organized, excellent analytical and problem-solving skills
                                                                          • -
                                                                          -


                                                                          What’s in it for you?

                                                                          -

                                                                          -
                                                                          • A rewarding career path with diverse opportunities for professional development
                                                                          • A culture that promotes teamwork and cross-functional collaboration to achieve business goals. Inclusive workplace that values diversity of thought, background, and experience
                                                                          • A competitive compensation and benefits package
                                                                          • Opportunity to work with a very enthusiastic, technical yet fun team that helps our clients by ensuring the Bank is able to continue to operate to deliver key business services.
                                                                          • Hybrid working environment allowing for work/life balance
                                                                          • -
                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Scarborough

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Scarborough-Data-Engineer-Manager-ON-M1K5L1/584741617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-09-30T16:35:06.115Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/343307680-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Scarborough-Data-Engineer-Manager-ON-M1K5L1/584741617/,expired,2024-09-23T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e6fd1371-4f5c-4f1c-b3b7-17aab14b2cc8,342401132,CN,Future Opportunities with CN!,hybrid,"Toronto, ON, Canada",2024-09-17T02:29:29.823Z,"

                                                                          CN is among the employers participating in the upcoming AI Summit & Career Fair 2024. Submit your resume for future job opportunities with CN, and it will be shared with them after the event.

                                                                          -

                                                                          Kindly note that the event is at full capacity for in-person attendance, so unfortunately we cannot accept walk-ins. .

                                                                          -

                                                                          About CN

                                                                          -

                                                                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                                                          ",AITalent@vectorinstitute.ai,,aitalent@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2024-10-02T02:29:00.000Z,False,40,0,151,https://talenthub.vectorinstitute.ai/jobs/342401132-future-opportunities-with-cn-at-cn,,expired,2024-09-17T02:29:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Transportation,Associate,Masters Degree,New Posting, -eae96751-96a3-42ee-a340-00e1e34275bf,342407648,ChatGPV Inc.,Chief Technology Officer ,full,"Toronto, ON, Canada",2024-09-17T03:05:38.102Z,"

                                                                          Who we are:

                                                                          -

                                                                          ChatGPV's mission is to ensure that artificial general intelligence benefits all of humanity. ChatGPV is an artificial intelligence assistant. Learn more at www.ChatGPV.com

                                                                          -

                                                                          Join us in shaping the future of technology. At our company, we foster a culture of innovation where every employee plays a part in building breakthroughs together. Apply now to be a part of our team!

                                                                          -

                                                                          What You’ll Do:

                                                                          -

                                                                          As the CTO, you will lead the development of core AI capabilities for integration into ChatGPV's suite of products. Your responsibilities include:

                                                                          +

                                                                          BREADTH & DEPTH

                                                                            -
                                                                          • Shaping our data strategy and driving innovation to deliver actionable insights for business growth.
                                                                          • -
                                                                          • Collaborating across teams to implement AI/ML technologies.
                                                                          • -
                                                                          • Architecting large-scale cloud offerings and leading the development of AI/ML features for ChatGPV.
                                                                          • -
                                                                          • Working closely with the CEO to drive strategic architecture decisions and bring incubation initiatives to production.
                                                                          • +
                                                                          • Deliver advanced analytical capabilities above and beyond existing methods
                                                                          • +
                                                                          • Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
                                                                          • +
                                                                          • Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
                                                                          -

                                                                          What You Bring:

                                                                          +

                                                                          +

                                                                          EXPERIENCE & EDUCATION

                                                                            -
                                                                          • 2+ years of professional experience in research and/or software development.
                                                                          • -
                                                                          • Expertise in Generative AI and large language models.
                                                                          • -
                                                                          • Strong background in architecting large-scale cloud offerings, with knowledge of AI, Machine Learning, and Software Engineering principles.
                                                                          • -
                                                                          • Proficiency in programming languages such as Python and experience with data science frameworks.
                                                                          • -
                                                                          • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
                                                                          • -
                                                                          • Demonstrated leadership and team-building abilities, with a track record of motivating and mentoring cross-functional teams.
                                                                          • +
                                                                          • Undergraduate degree or technical certificate
                                                                          • +
                                                                          • 5+ years of relevant experience
                                                                          • +
                                                                          • Comfortable and experienced with advanced coding (Python, pyspark preferred)
                                                                          -

                                                                          What we offer:

                                                                          -

                                                                          -Competitive compensation, base salary plus generous commission structures

                                                                          -

                                                                          -Work with an experienced team of experts from engineers to compliance officers, marketing gurus and development and sales rock stars.

                                                                          -

                                                                          -State-of-the-art tools to ensure success for the team.

                                                                          -

                                                                          -Work Remotely

                                                                          +

                                                                          #LI-Hybrid

                                                                          -



                                                                          ",hello@chatgpv.com,,dj@chatgpv.com,https://chatgpv.com,,,2024-10-02T03:05:00.000Z,False,5,0,87,https://talenthub.vectorinstitute.ai/jobs/342407648-chief-technology-officer-at-chatgpv-inc,,expired,2024-09-17T03:05:00.000Z,admin,Startup (1-19),Vector Quick Apply,"Software, Technology (Product Development)",Mid-Senior Level,Bachelors Degree,New Posting, -55336520-dc71-4fc8-9602-9e8efa13aaae,340695977,BIMCOR INC,Business Intelligence Architect/ Data Solutions Architect,on_site,"Montreal, Quebec",2024-09-04T21:25:05.542Z,"

                                                                          Req Id: 420381 

                                                                           

                                                                          At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. 

                                                                           

                                                                          We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. 

                                                                           

                                                                          Join us. You belong at Bell. 

                                                                           

                                                                          -
                                                                          -
                                                                          -

                                                                          Summary

                                                                          -
                                                                          -
                                                                          -

                                                                          About Us: Founded in 1983, Bimcor, a wholly owned subsidiary of Bell Canada, currently manages ~$30 billion invested in a wide range of public and private financial assets, mainly on behalf of pension funds of Bell Canada and its various subsidiaries and affiliates. It ranks as one of the largest private sector pension fund managers in Canada.

                                                                          -

                                                                           

                                                                          -

                                                                          We are seeking:

                                                                          -

                                                                          We are seeking a skilled Business Intelligence Architect with experience of the Microsoft Cloud Power platform and Fabric to join our team full-time and contribute to drive the architecture, design, and implementation of Power Platform solutions for our Bimcor’s stakeholders. You will play a pivotal role in ensuring the successful new integration of Power Platform services with external systems while adhering to best practices and delivering high-quality solutions. You will also contribute to our migration to the full Microsoft 365 rollout currently underway at Bimcor. We are seeking a candidate willing to play a major role in Bimcor’s new data and reporting initiatives that are currently underway.

                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          Key Responsibilities

                                                                          -
                                                                          -
                                                                            -
                                                                          • Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using Microsoft Fabric and Microsoft Azure.
                                                                          • -
                                                                          • Demonstrate financial market experience and collaborate with the front office team.
                                                                          • -
                                                                          • Design, develop and produce data models of medium to high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
                                                                          • -
                                                                          • Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
                                                                          • -
                                                                          • Create strategic dashboards and reports for key stakeholders, including Executives, Financial leaders, Operational leaders, Project/Program Managers
                                                                          • -
                                                                          • Collaborate with members of the development and architecture teams to deliver enterprise-grade solutions that surpass client expectations while meeting deadlines.
                                                                          • -
                                                                          • Train client end-users and junior members of the staff on proper Power Platform development techniques including support for application lifecycle management.
                                                                          • -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          Critical Qualifications

                                                                          -
                                                                          -
                                                                            -
                                                                          • Bachelor’s degree in Computer Science, Information Technology, or related field.
                                                                          • -
                                                                          • In depth experience (5+ years) working with Power Platform services including Power Apps, Power Automate, Power BI, and Power Virtual Agents (MS Copilot) as well as DAX, Power Query and MDX.
                                                                          • -
                                                                          • Strong knowledge of Microsoft Azure Data Warehouse and Fabric.
                                                                          • -
                                                                          • Undergraduate studies in finance or accounting or equivalent and familiarity and with Financial Instruments and Interest in building knowledge in this industry.
                                                                          • -
                                                                          • Excellent problem-solving skills and attention to detail.
                                                                          • -
                                                                          • Excellent verbal and written communication skills, in English and French.
                                                                          • -
                                                                          -
                                                                          -

                                                                           

                                                                          #EmployeeReferralProgram

                                                                           

                                                                          Adequate knowledge of French is required for positions in Quebec. 

                                                                           

                                                                          Additional Information:

                                                                          Position Type: Management 
                                                                          Job Status: 
                                                                          Regular - Full Time 
                                                                          Job Location:
                                                                          Canada : Quebec : Montreal 
                                                                          Work Arrangement: Hybrid 
                                                                          Application Deadline: 10/19/2024 

                                                                           

                                                                          For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                                                                           

                                                                          Please apply directly online to be considered for this role.  Applications through email will not be accepted.

                                                                           

                                                                          We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

                                                                           

                                                                          We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

                                                                           

                                                                          We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

                                                                           

                                                                          Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

                                                                           

                                                                          Created: Canada, QC, Montreal

                                                                           

                                                                          Bell, one of Canada's Top 100 Employers.

                                                                          ",,https://jobs.bell.ca/ca/en/job/BECACA420381EXTERNALENCA/Business-Intelligence-Architect-Data-Solutions-Architect?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2024-10-05T19:56:52.766Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/340695977-business-intelligence-architect-data-solutions-architect-at-bimcor-inc,BECACA420381EXTERNALENCA,expired,2024-09-04T21:25:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -fe95d0ee-04ee-4118-aefc-f0ef24a1da0c,341329284,BMO Financial Group,Manager- Campaign Analytics & Execution (Private Wealth),on_site,"Ontario, Canada",2024-09-09T05:57:01.822Z,"
                                                                          -

                                                                          Application Deadline:

                                                                          10/11/2024

                                                                          -

                                                                          -

                                                                          Address:

                                                                          100 King Street West

                                                                          -

                                                                          -

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Campaign Analytics and Execution role plays a pivotal role in the development and continuous improvement of revenue generating campaigns and leads programs for Private Wealth. This role will lead pre-campaign analysis, preparation and execution of lead programs, post campaign analysis and deliver results to senior leadership to determine program effectiveness. This role requires hand on experience of data ETL from multiple databases and schemas. The role also works with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools.

                                                                          -

                                                                          -
                                                                            -
                                                                          • Acts as a trusted advisor to Private Wealth partners on campaign development, execution, and performance monitoring of revenue generating campaigns. Independently drive leads and campaigns programs.
                                                                          • -
                                                                          • The role will involve end to end design, pre-sizing, development, and implementation of performance reporting for campaign owners and stakeholders. In addition, they will manage the execution, monitoring and measurement of integrated campaigns that drive results to pipeline.
                                                                          • -
                                                                          • Translates business needs to technical specifications and evaluates existing data visualization systems to improve them.
                                                                          • -
                                                                          • Develop and implement a consistent campaign plan structure that clearly articulates business priorities/vision, goals and objectives and tactical elements.
                                                                          • -
                                                                          • Partner with channel leads and marketing analytics to understand campaign performance data, recommend improvements and compile reporting for Marketing Business Partners to communicate with stakeholders.
                                                                          • -
                                                                          • Identify, implement, and standardize approaches across the campaign management related to documentation, processes and communication for continuous improvement and efficiency.
                                                                          • -
                                                                          • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
                                                                          • -
                                                                          • Provides value through insights, reporting and data visualization techniques. Selects, configures, and implements analytics solutions for consistency and repeatability.
                                                                          • -
                                                                          • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
                                                                          • -
                                                                          • Develops data visualizations of ""large"" amounts of data that facilitate the intuitive presentation of data to decision makers.
                                                                          • -
                                                                          • Documents data flow, systems, and processes to improve the design, implementation and management of business/group processes.
                                                                          • -
                                                                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                                                          • -
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • -
                                                                          • Provides specialized consulting, analytical and technical support.
                                                                          • -
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • -
                                                                          • Works independently and regularly handles non-routine situations.
                                                                          • -
                                                                          • Broader work or accountabilities may be assigned as needed.
                                                                          • -
                                                                          -

                                                                          -

                                                                          Qualifications:

                                                                          -

                                                                          -
                                                                            -
                                                                          • 4+ years of analytics experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • -
                                                                          • Knowledge and experience in data preparation and statistical tool such as SAS, SQL, PowerBI, Power Query, SQL, SAS, R, Python is considered an asset.
                                                                          • -
                                                                          • Experience in analyzing and presenting to senior team members and explaining performance metrics to non-data partners (internal or external) is considered an asset
                                                                          • -
                                                                          • Analytical and problem-solving skills - In-depth.
                                                                          • -
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • -
                                                                          • Collaboration & team skills - In-depth.
                                                                          • -
                                                                          • Influence skills - In-depth.
                                                                          • -
                                                                          • Data modelling and data driven decision making - In-depth.
                                                                          • -
                                                                          • Data visualization and insights design – In-depth
                                                                          • -
                                                                          • Strong attention to detail
                                                                          • -
                                                                          • Ability to work in fast paced environment and is organized to manage multiple deliverables with tight turnaround time
                                                                          • -
                                                                          -

                                                                          -

                                                                          -
                                                                          -

                                                                          -

                                                                          Salary:

                                                                          -
                                                                          $68,000.00 - $126,000.00

                                                                          -

                                                                          Pay Type:

                                                                          Salaried

                                                                          -

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          -

                                                                          -

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          -

                                                                          -

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          -

                                                                          -

                                                                          -

                                                                          We’re here to help

                                                                          -

                                                                          -

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          -

                                                                          -

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          -

                                                                          -

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          -

                                                                          -

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          -

                                                                          -

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          -
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Campaign-Analytics---Execution--Private-Wealth-_R240022789?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-10-09T17:03:21.958Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/341329284-manager-campaign-analytics-execution-private-wealth-at-bmo-financial-group,,expired,2024-09-09T05:57:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -70145fd5-e7ed-43d3-8e46-0245d547a34a,341358435,Scotiabank,Wealth Management - Data Analytics Intern/Co-op Winter 2025,on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa,2024-09-09T16:30:05.997Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 206596

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Term: Jan – April 2025

                                                                          -

                                                                          Application Deadline: 10/18/2024

                                                                          -

                                                                          -

                                                                          There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          -

                                                                          -

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -

                                                                          -
                                                                          • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                                                                          • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                                                                          • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                                                                          • Apply analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                                                                          • Make impact by constantly identifying and implementing process improvements
                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                          -

                                                                          -
                                                                          • You are currently enrolled in post-secondary education.
                                                                          • +

                                                                            Who We Are:

                                                                            +

                                                                            TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                            +

                                                                            +

                                                                            TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                            +

                                                                            +

                                                                            +

                                                                            +

                                                                            Our Total Rewards Package
                                                                            Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                            +

                                                                            +

                                                                            Additional Information:
                                                                            We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                            Colleague Development
                                                                            If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                            +

                                                                            Training & Onboarding
                                                                            We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                            +

                                                                            +

                                                                            Interview Process
                                                                            We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                            +


                                                                            Accommodation
                                                                            Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                            We look forward to hearing from you!

                                                                            +

                                                                            +

                                                                            Language Requirement:

                                                                            +

                                                                            N/A.

                                                                            ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/Data-Scientist-II_R_1359020?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=de76965296350195765906b50704e3ab&jobFamilyGroup=de769652963501ac759c18b50704efab,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-03T18:30:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/337369985-manager-data-scientist-at-td-bank-group,,expired,2024-08-08T20:49:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f2fa92b1-048b-45ca-9e6e-3797e5cd208d,339078059,TD Bank Group,AI/ML Business Management Analyst,on_site,"Toronto, ON, Canada",2024-08-22T19:28:00.463Z,"

                                                                            Work Location:

                                                                            +

                                                                            Canada

                                                                            +

                                                                            +

                                                                            Hours:

                                                                            +

                                                                            37.5

                                                                            +

                                                                            +

                                                                            Line of Business:

                                                                            +

                                                                            Data & Analytics

                                                                            +

                                                                            +

                                                                            Pay Details:

                                                                            +

                                                                            We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

                                                                            +


                                                                            +

                                                                            Job Description:

                                                                            +

                                                                            Department Overview
                                                                            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data. As part of the Layer 6's Product and Strategy team, you'll be at the heart of driving AI and machine learning to life for our teams, customers, and colleagues.
                                                                            TD's vision for the future? Hyper-personalized banking experiences via machine learning for every single customer. If you've been in business as long as we have, you know there's no such thing as one size fits all, and a diverse, inclusive AI/ML team is a massive part of that future achievement.
                                                                            Job Description
                                                                            In partnership with the AI/ML Business Managers, you will work with Layer 6 leadership team, Layer 6 team members and other stakeholders in:
                                                                            1. Preparing strategy and other presentations and memos for Sr executives
                                                                            2. Performing use case delivery portfolio governance, oversight and support
                                                                            • Conducting analysis for standards compliance and for surfacing risks/issues
                                                                            • Engaging with Product Owners to clarify delivery statuses and to address any issues
                                                                            • Producing weekly portfolio /use case /resource reporting
                                                                            • Assist with JIRA & Clarity record setup, updates and management
                                                                            3. Helping to define, mature, formalize, document and maintain Layer 6's operational processes, guides and procedures, including formalizing enablement pod engagement / interaction
                                                                            4. Managing, maintaining and administering group artifact / file repositories and sites (Confluence, Teams, SharePoint)
                                                                            5. Supporting Layer 6 group financial planning and management
                                                                            • Managing monthly Clarity forecasts, and tracking/reporting financial actuals and outlooks
                                                                            • Providing resource allocation support
                                                                            • Assisting with expense tracking, payment processing and financial reporting
                                                                            6. Planning and chairing weekly Layer 6 steering meetings and other key meetings as required
                                                                            7. Leading / supporting various Layer 6 operational and governance-related initiatives and activities

                                                                            Qualifications
                                                                            1. Working knowledge of AI/ML delivery processes
                                                                            2. Experience working in and navigating a large matrix organization
                                                                            3. Experience with business / technology project delivery and governance (using waterfall and agile methodologies), and has a good working knowledge of project delivery principles, practices, techniques, and tools (Jira, Clarity) – 3+ years
                                                                            4. Business analysis experience (requirements solicitation, process modeling, policy / procedural documentation, cost and value estimation/assessment, etc.) - 3+ years
                                                                            5. Experience with financial planning / management (nice-to-have)
                                                                            6. A self-starter eager to take on different types of assignments who is comfortable with ambiguity and has a problem-solving mindset
                                                                            7. Strong collaboration and communication skills to help uncover stakeholder needs and motivations, influence and secure the cooperation of key resources, resolve conflicts and negotiate positive outcomes
                                                                            8. Adaptable to a variety of situations, individuals or groups. Understands and appreciates different and opposing perspectives
                                                                            9. Resilient under pressure and tight timelines
                                                                            10. Working knowledge of productivity and BI tools (MS Office PC software applications - Excel, Word, PowerPoint, Project, Visio; Tableau)
                                                                            11. Experience in the Financial Services sector is an asset
                                                                            12. Experience working for a consultancy is an asset
                                                                            13. Relevant university degree or equivalent work experience
                                                                            14. 4+ years of work experience

                                                                            +

                                                                            +

                                                                            Who We Are:

                                                                            +

                                                                            TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

                                                                            +

                                                                            +

                                                                            TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

                                                                            +

                                                                            +

                                                                            Our Total Rewards Package
                                                                            Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

                                                                            +

                                                                            +

                                                                            Additional Information:
                                                                            We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

                                                                            Colleague Development
                                                                            If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

                                                                            +

                                                                            Training & Onboarding
                                                                            We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

                                                                            +

                                                                            Interview Process
                                                                            We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

                                                                            +

                                                                            Accommodation
                                                                            Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

                                                                            We look forward to hearing from you!

                                                                            +

                                                                            +

                                                                            Language Requirement:

                                                                            +

                                                                            N/A.

                                                                            ",,https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Toronto-Ontario/AI-ML-Business-Management-Analyst_R_1363766?jobFamilyGroup=de76965296350195765906b50704e3ab&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2024-09-03T18:30:00.000Z,False,0,6,43,https://talenthub.vectorinstitute.ai/jobs/339078059-ai-ml-business-management-analyst-at-td-bank-group,,expired,2024-08-22T19:28:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +6773780c-17a1-4189-89ff-b3e49789c677,339832226,KPMG,GTA Office - Opportunities in Information Technology Risk Analytics Summer Intern & Full Time 2025,on_site,"Toronto, Canada",2024-08-29T16:34:02.129Z,"

                                                                            Overview

                                                                            +

                                                                            Please note that you are limited to ONE APPLICATION during the Fall Recruitment period as we ask you to think ahead to what office and service line you are interested in.

                                                                            +

                                                                            +

                                                                            At KPMG in Canada, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.  

                                                                            +

                                                                            +

                                                                            Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities. 

                                                                            +


                                                                            What you will do

                                                                            +

                                                                            Our Toronto office is seeking early talent to join KPMG’s Information Technology practice as a Risk Services Analyst (Summer Intern & Full-Time) in 2025.

                                                                            +

                                                                            +

                                                                            Why KPMG Information Technology Risk Services (ITRS)?

                                                                            +

                                                                            +

                                                                            Today's organizations – whether businesses, public sector entities or not-for-profit organizations – are heavily and increasingly reliant on information technology (IT) and other computer-based technologies to gain and maintain strategic advantage, and to achieve and sustain operational efficiency and effectiveness. Similarly, they are increasingly reliant on not just internal resources, but also on third parties to successfully select, design, implement, and maintain these technologies and technology-enabled processes, services and solutions.

                                                                            +


                                                                            KPMG's Technology Risk Consulting services help our clients achieve these goals successfully. You'll be part of a team that brings technology risk awareness to the boardroom while helping clients ensure their technology selection supports their strategy and operations – safely, securely and consistently.

                                                                            +

                                                                            +

                                                                            As an ITRS Analyst, you will have the opportunity to help clients manage technology, cyber and regulatory risks by providing a variety of services to our clients. The successful candidate will focus primarily on providing IT Internal Audit and IT risk advisory engagements such as IT project and ERP advisory services, information protection and business resilience services.

                                                                            +

                                                                            +

                                                                            Learn more about KPMG Risk Services

                                                                            +


                                                                            What you bring to the role

                                                                            +

                                                                            You strive to make a meaningful and positive difference alongside your peers, to work collaboratively and with innovation at the forefront. You’re passionate about being involved in your local community and post-secondary institution and have a proven ability to achieve personal and professional success while being curious as you learn emerging practices and technologies.

                                                                            +
                                                                              +
                                                                            • University student with a major in Accounting, Finance, Business, Math, Engineering, Information Technology, Data Science or Computer Science
                                                                            • +
                                                                            • Excellent written and oral communication skills, able to effectively express insights.
                                                                            • +
                                                                            • Demonstrated ability to learn and succeed in a fast-paced environment.
                                                                            • +
                                                                            • Attention to detail and strong organization and analytical skills.
                                                                            • +
                                                                            • Ability to work both independently, with little supervision and within a team environment.
                                                                            • +
                                                                            • Highly motivated student who strives for excellence, innovation and collaboration
                                                                            -
                                                                            • You have strong written/verbal communication and project management skills.
                                                                            • -You have knowledge/experience in:
                                                                              • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                                                                              • Interpreting and consolidating large amounts of information in actionable recommendations.
                                                                              • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                                                                              • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                                                                              • Visualization tools like PowerBI, Tableau or Qlikview
                                                                              • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                                                                              • Making sense of data, creating reports, and communicating KPI’s
                                                                            • +

                                                                              +

                                                                              To apply:

                                                                              +

                                                                              +

                                                                              Start your journey and make your mark with KPMG today!

                                                                              +

                                                                              +

                                                                              Please apply directly to KPMG at Students - KPMG Canada (home.kpmg).

                                                                              +

                                                                              +

                                                                              All applications must be received no later than Monday, September 2nd, 2024, at 11:59 PM ET.

                                                                              +

                                                                              +

                                                                              Please note that this opportunity is located at KPMG's Toronto Bay-Adelaide office in a hybrid working model.

                                                                              +

                                                                              +

                                                                              Feeling a little overwhelmed with the application process? Don’t worry – we've got you covered! Check out our resume and interview tips available over at our Application Journey page!

                                                                              +

                                                                              +

                                                                              What is required for this application process:

                                                                              +
                                                                                +
                                                                              • Please limit your application to one role at the location of your choice based on your interests. You will be asked to complete an application questionnaire where you can outline your preferences. Please carefully review which specific opportunities are available before submitting your application, as openings vary by office.
                                                                              • +
                                                                              • Applications can be addressed to “Hiring Manager” and should include a cover letter, resume, and a copy of your most recent unofficial transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website.
                                                                              • +
                                                                              • All considered applicants must have or will obtain legal authorization to work in Canada by the start date of employment.
                                                                              -

                                                                              -

                                                                              -

                                                                              What’s in it for you?

                                                                              -

                                                                              -
                                                                              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                              • +

                                                                                If you experience any difficulties with the online system, please contact ca-fmcandidateexpcoe@kpmg.ca.

                                                                                +

                                                                                +

                                                                                Providing you with the support you need to be at your best

                                                                                +

                                                                                +

                                                                                +

                                                                                +

                                                                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                                                                +


                                                                                Our Values, The KPMG Way

                                                                                +

                                                                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                                                                +

                                                                                +

                                                                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                                                                +

                                                                                +

                                                                                Adjustments and accommodations throughout the recruitment process

                                                                                +

                                                                                +

                                                                                At KPMG, we strive for an inclusive recruitment process that allows all candidates to Come As You Are and Thrive with Us. We aim to provide a positive experience and are ready to offer adjustments or accommodations to help you perform at your best. Adjustments (an informal request), i.e. extra preparation time or the option for micro breaks during interviews, and accommodations (a formal request), i.e. accessible communication supports or technology aids are tailored to individual needs and role requirements.

                                                                                +

                                                                                +

                                                                                To begin a confidential conversation about adjustments or accommodations at any point throughout the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support by emailing cdnersteam@kpmg.ca or by calling 1-888-466-4778, Option 3.

                                                                                +

                                                                                +

                                                                                For information about accessible employment at KPMG, please visit our accessibility page.

                                                                                +

                                                                                ",,https://careers.kpmg.ca/students/jobs/24713?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2024-09-03T18:30:00.000Z,False,0,5,31,https://talenthub.vectorinstitute.ai/jobs/339832226-gta-office-opportunities-in-information-technology-risk-analytics-summer-intern-full-time-2025-at-kpmg,https://careers.kpmg.ca/students/jobs/24713?lang=en-us,expired,2024-08-29T16:34:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, +7e8be930-a0e3-41b5-a03b-5c3b5ac173bd,337356145,Ada,Data Annotation Specialist - Machine Learning,full,Canada,2024-08-08T19:54:11.373Z,"

                                                                                At Ada our mission is to make customer service extraordinary for everyone and our vision is a world where every customer interaction is resolved by AI. Ada is an AI-powered customer service automation platform that makes it easy for businesses to automatically resolve the greatest number of customer service conversations — across channels and languages - with the least amount of effort. Since 2016, Ada has powered more than 4 billion automated customer interactions for brands like Wealthsimple, Canva, AirAsia, Yeti, and Square. Born in Toronto, Ada serves companies and their customers worldwide. For more information, visit www.ada.cx

                                                                                +

                                                                                As a Data Annotation Specialist on our Machine Learning team, you will be responsible for building the datasets that power the data science solutions that are integrated into Ada’s product. You will work closely with ML Scientists to understand the purpose and nuances of the models we build that help us deliver impactful experiences for millions of customers.

                                                                                +

                                                                                We’re looking for someone who is curious to learn about, and motivated to be a part of building a world class AI Agent CX platform. You will be expected to demonstrate a high degree of initiative and an ability to collaborate with teammates to achieve shared goals. Along with a core expectation of delivering annotated data, you will be given the opportunity to help us hone our data annotation processes in order to meet the needs of a growing Machine Learning team.

                                                                                +

                                                                                About You

                                                                                +
                                                                                  +
                                                                                • Motivated to complete tasks with a high degree of attention to detail and efficiency
                                                                                • +
                                                                                • Spanish native speaker with strong written and verbal communication skills in English.
                                                                                • +
                                                                                • Proficient computer skills and familiarity with programs such as Excel, GSheets
                                                                                • +
                                                                                • Highly organized
                                                                                -

                                                                                -

                                                                                -

                                                                                How do I apply?

                                                                                -

                                                                                -

                                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                                -
                                                                                1. Complete your PLUM Profile here and save as a screenshot.
                                                                                2. Complete short one-way video interview here
                                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile
                                                                                4. -
                                                                                -

                                                                                -

                                                                                **In order to be considered for student opportunities at Scotiabank and/or Tangerine, you must complete all steps above. **

                                                                                -

                                                                                -

                                                                                -

                                                                                Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Ottawa

                                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:19:18.732Z,False,0,7,60,https://talenthub.vectorinstitute.ai/jobs/341358435-wealth-management-data-analytics-intern-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternCo-op-Winter-2025-ON/584347717/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -5d53dac3-06a1-4f6c-bbd3-40bdd0a6ebfb,341358446,Scotiabank,GBM - Client Insights and Analytics Internship/Co-op - Fall 2025 (12 months),on_site,Canada : Ontario : Toronto,2024-09-09T16:30:07.849Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 206630

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          Term: September 2025 – August 2026

                                                                          -

                                                                          -

                                                                          Application Deadline: 16/02/2024

                                                                          -

                                                                          -

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          -

                                                                          -

                                                                          Global Banking and Markets (GBM) provides corporate and institutional clients with lending and transaction services, investment banking, advice, and access to capital markets. GBM is a full-service wholesale bank in the Americas, with operations in 21 countries, serving clients across Canada, the United States, Latin America, Europe, and Asia-Pacific.

                                                                          -

                                                                          -

                                                                          Client Insights and Analytics is part of the COO (Chief Operating Officer’s) office in Global Banking and Markets. Our mandate is to lead the execution of our business strategies through powerful reporting and analytics. We are closely integrated with our business partners to drive adoption, and client strategies/insights and opportunities.

                                                                          -

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -
                                                                          • Assist our teams in report engineering, data analytics and data engineering and business relationship management.

                                                                          • Work with our relationship managers for business lines including Corporate & Investment Banking, Capital Markets, Global Business Payments and International Corporate and Commercial Banking.

                                                                          • Help leverage internal and external client data to facilitate opportunity identification.

                                                                          • Support adoption, change management and enhancement of our CRM (client relationship management) system.

                                                                          • Attend program meetings, and facilitate organization and follow-up as required.

                                                                          • Carry out ad-hoc projects and tasks as required.

                                                                          • +

                                                                            Outcomes

                                                                            +
                                                                              +
                                                                            • Collect, validate and prepare Data to support model training and other ML/AI development processes
                                                                            • +
                                                                            • Consistently deliver high quality annotated data
                                                                            • +
                                                                            • Become an owner of Ada’s data annotation processes and help to scale them
                                                                            • +
                                                                            • Refine the annotation tasks and guidelines based on the experience acquired through the inspection of large amounts of data
                                                                            • +
                                                                            • Create clear and concise documentation to document progress and processes
                                                                            -

                                                                            -

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            -
                                                                            • You are currently enrolled in post-secondary education.

                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.

                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.

                                                                            • You are interested in or have knowledge of the capital markets and wholesale banking business.

                                                                            • You have experience working on a major project and/or initiative in a team.

                                                                            • You are comfortable dealing with ambiguity and a matrix-based environment.

                                                                            • You have excellent written and oral communication skills.

                                                                            • You have advanced experience with Excel.

                                                                            • You have experience with programming languages such as Python and C++.

                                                                            • You have considerable initiative, curiosity, creativity, and attention to detail.

                                                                            • You have a high level of energy, commitment, and a strong sense of teamwork.

                                                                            • +

                                                                              Nice to have

                                                                              +
                                                                                +
                                                                              • Proficiency in other languages
                                                                              • +
                                                                              • Interested in human language
                                                                              • +
                                                                              • Interested in technology
                                                                              -

                                                                              -

                                                                              What’s in it for you?

                                                                              -
                                                                              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                                                                              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                                                                              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                                                                              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                                                                              • You will be provided with an excellent opportunity for learning and personal development, especially if you wish to gain exposure to global capital markets, and the critical real-time financial data needed and utilized to move key business lines forward.

                                                                              • +

                                                                                Benefits

                                                                                +
                                                                                  +
                                                                                • Competitive salary and generous stock option plan
                                                                                • +
                                                                                • Unlimited vacation
                                                                                • +
                                                                                • Wellness account
                                                                                • +
                                                                                • Extended health coverage
                                                                                • +
                                                                                • Dental/optical/travel insurance
                                                                                • +
                                                                                • Life insurance
                                                                                • +
                                                                                • Employee and family assistance plan
                                                                                -

                                                                                -

                                                                                How do I apply?

                                                                                -

                                                                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                                -

                                                                                -
                                                                                1. Complete your PLUM Profile here and save as a screenshot.

                                                                                2. Complete a short one-way video interview here.

                                                                                3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                                                                                4. -
                                                                                -

                                                                                -

                                                                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                                -

                                                                                -

                                                                                Location(s): Canada : Ontario : Toronto

                                                                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-09T17:24:08.199Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/341358446-gbm-client-insights-and-analytics-internship-co-op-fall-2025-12-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-Client-Insights-and-Analytics-InternshipCo-op-Fall-2025-%2812-months%29-ON/584354117/,expired,2024-09-09T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -7e3d4dcc-3edc-4c89-b501-1ddf42dd4960,343277151,Google,"Student Researcher, BS/MS, Fall 2024",on_site,"Toronto, ON, Canada",2024-09-23T08:34:03.353Z,"
                                                                          -
                                                                          -

                                                                          Student Researcher, BS/MS, Fall 2024

                                                                          -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          Minimum qualifications:

                                                                          +

                                                                          Perks

                                                                            -
                                                                          • Currently enrolled in a Bachelor\'s or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
                                                                            -
                                                                          • -
                                                                          • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Development, or similar areas).
                                                                            +
                                                                          • Flexible work schedule
                                                                          • +
                                                                          • Remote-first, In-person friendly work environment with WFH budget
                                                                          • +
                                                                          • Paid parental leave for Canadian residents
                                                                          • +
                                                                          • Development opportunities

                                                                          -

                                                                          Preferred qualifications:

                                                                          +

                                                                          The expected salary range for this position is $84,625 to $102,268 CAD. Actual pay will be determined based on several factors, such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

                                                                          +

                                                                          #LI-NS1

                                                                          +

                                                                          About Us

                                                                          +

                                                                          Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

                                                                          +

                                                                          We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.

                                                                          +

                                                                          Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.

                                                                          +

                                                                          Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.

                                                                          ",,https://job-boards.greenhouse.io/ada18/jobs/4404549007,aitalent@vectorinstitute.ai,https://www.ada.support/careers,,,2024-09-07T19:54:13.494Z,False,0,14,86,https://talenthub.vectorinstitute.ai/jobs/337356145-data-annotation-specialist-machine-learning-at-ada,,expired,2024-08-08T19:54:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,No Degree,New Posting, +a20b4d2a-0991-4d26-8b16-0a3c596c45ee,339051890,BMO Financial Group,Structural Market Risk Analyst - Fall 2024 (Co-op/Internship) - 4 Months,on_site,"Ontario, Canada",2024-08-22T06:14:02.345Z,"
                                                                          +

                                                                          Application Deadline:

                                                                          08/29/2024

                                                                          +

                                                                          +

                                                                          Address:

                                                                          100 King Street West

                                                                          +

                                                                          +

                                                                          Job Family Group:

                                                                          Data Analytics & Reporting

                                                                          +

                                                                          +

                                                                          This is a hybrid role

                                                                          +

                                                                          +

                                                                          +

                                                                          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                                                                            -
                                                                          • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                                                          • -
                                                                          • Currently attending a degree program in Canada.
                                                                          • -
                                                                          • Experience as a researcher, including internships, full-time, or at a lab.
                                                                            -
                                                                          • -
                                                                          • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
                                                                            -
                                                                          • -
                                                                          • Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
                                                                            +
                                                                          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                                                                          • +
                                                                          • Acts as a resource for team members with less experience
                                                                          • +
                                                                          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.
                                                                          • +
                                                                          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                                                                          • +
                                                                          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                                                                          • +
                                                                          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                                                                          • +
                                                                          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                                                                          • +
                                                                          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                                                                          • +
                                                                          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                                                                          • +
                                                                          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                                                                          • +
                                                                          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                                                                          • +
                                                                          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                                                                          • +
                                                                          • Provides information and supports the process for internal and external audits.
                                                                          • +
                                                                          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                                                                          • +
                                                                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                                                          • +
                                                                          • Builds effective relationships with internal/external stakeholders.
                                                                          • +
                                                                          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                                                                          • +
                                                                          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                                                                          • +
                                                                          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                                                                          • +
                                                                          • Organizes work information to ensure accuracy and completeness.
                                                                          • +
                                                                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                                                          • +
                                                                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                                                          • +
                                                                          • Works independently on a range of complex tasks, which may include unique situations.
                                                                          • +
                                                                          • Broader work or accountabilities may be assigned as needed.

                                                                            Qualifications:

                                                                          • +
                                                                          • Typically between 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                                                          • +
                                                                          • Knowledge of risk management metrics, KPIs and KRIs.
                                                                          • +
                                                                          • Knowledge of industry trends and regulatory requirements for risk reporting.
                                                                          • +
                                                                          • Product knowledge for the designated business/portfolio.
                                                                          • +
                                                                          • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                                                                          • +
                                                                          • Knowledge of reporting & analytics concepts and applications.
                                                                          • +
                                                                          • Knowledge of risk systems technology.
                                                                          • +
                                                                          • Technical proficiency gained through education and/or business experience.
                                                                          • +
                                                                          • Verbal & written communication skills - In-depth.
                                                                          • +
                                                                          • Collaboration & team skills - In-depth.
                                                                          • +
                                                                          • Analytical and problem solving skills - In-depth.
                                                                          • +
                                                                          • Influence skills - In-depth.
                                                                          • +
                                                                          • Data driven decision making - In-depth.
                                                                          -
                                                                          -
                                                                          -

                                                                          About the job

                                                                          -

                                                                          The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and developers on cutting-edge research projects.

                                                                          -

                                                                          The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                                                          -

                                                                          Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                                                          -
                                                                          -
                                                                          -

                                                                          Responsibilities

                                                                          -
                                                                          • Participate in research to develop solutions for real-world, large-scale problems.
                                                                          -
                                                                          -
                                                                          -

                                                                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                                                          -

                                                                          Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

                                                                          -

                                                                          If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                                                          -

                                                                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

                                                                          -

                                                                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                                                          -
                                                                          -
                                                                          ",,https://www.google.com/about/careers/applications/jobs/results/97293825843569350-student-researcher-bsms-fall-2024?q=data&location=Toronto%2C%20Canada,info@google.ca,https://careers.google.com/,,,2024-10-03T08:39:02.200Z,False,0,19,74,https://talenthub.vectorinstitute.ai/jobs/343277151-student-researcher-bs-ms-fall-2024-at-google,,expired,2024-09-23T08:34:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Entry Level,Bachelors Degree,New Posting, -da32afe3-795a-4030-a226-6d287af9d0da,341822110,Canadian Tire Corporation,Forecast Modelling Analyst,on_site,"Ontario, Canada",2024-09-12T16:27:02.039Z,"
                                                                          -

                                                                          What you’ll do

                                                                          -

                                                                          The Forecast Modelling Analyst performs analysis and generates insights that can be integrated into key merchandising decisions (assortment selection, product forecasting and replenishment). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships, design/issue digestible reporting, and develop/optimize user tools. You will play a key role in the delivery of our advanced analytics roadmap and development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

                                                                          +
                                                                          +

                                                                          +

                                                                          Salary:

                                                                          +
                                                                          $54,500.00 - $101,500.00

                                                                          +

                                                                          Pay Type:

                                                                          Salaried

                                                                          +

                                                                          The above represents BMO Financial Group’s pay range and type.

                                                                          +

                                                                          +

                                                                          Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

                                                                          +

                                                                          +

                                                                          BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

                                                                          +

                                                                          +

                                                                          +

                                                                          We’re here to help

                                                                          +

                                                                          +

                                                                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                                                          +

                                                                          +

                                                                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                                                          +

                                                                          +

                                                                          To find out more visit us at https://jobs.bmo.com/ca/en.

                                                                          +

                                                                          +

                                                                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                                                          +

                                                                          +

                                                                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                                                          +
                                                                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Structural-Market-Risk-Analyst---Fall-2024--Co-op-Internship----4-Months_R240022038?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2024-09-02T16:23:02.389Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/339051890-structural-market-risk-analyst-fall-2024-co-op-internship-4-months-at-bmo-financial-group,,expired,2024-08-22T06:14:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +91287c8f-e9be-49af-ae61-ce832ab054e6,337447911,EY,Senior Consultant - AI and Data - Azure Databricks Data Engineer,on_site,"Calgary, AB, Canada",2024-08-09T17:01:59.401Z,"

                                                                          Job description

                                                                          +

                                                                          Requisition ID: 1516326At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                          +

                                                                          The opportunity
                                                                          The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.

                                                                          +

                                                                          +

                                                                          Your key responsibilities

                                                                          +

                                                                          As a Databricks Data Engineer, you will:

                                                                            -
                                                                          • Use traditional analytics and predictive/statistical modelling techniques to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impact of results

                                                                          • -
                                                                          • Work with the Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business intuition, explainable and efficiently integrated into processes

                                                                          • -
                                                                          • Design and build tools/reporting that is user friendly and actionable

                                                                          • -
                                                                          • Plan, track and manage multiple work requests – these initiatives can range from quick ad-hoc analysis requests, urgent system/tool support issues, or medium-scale process improvement initiatives or formal long-term project implementations

                                                                          • -
                                                                          • Ensure the forecasting systems, reports and EUC tools are operational and support the business processes; lead projects to implement new functionality, including automation

                                                                          • -
                                                                          • Act as a subject matter expert for Forecasting processes and provide expertise and direction in special projects

                                                                          • +
                                                                          • Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks.
                                                                          • +
                                                                          • Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities.
                                                                          • +
                                                                          • Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
                                                                          • +
                                                                          • Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes.
                                                                          • +
                                                                          • Collaborate with data architects to implement effective data models and schemas within the Databricks environment.
                                                                          • +
                                                                          • Monitor data reliability, efficiency, and quality, and implement improvements as needed.
                                                                          • +
                                                                          • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
                                                                          • +
                                                                          • Develop and maintain documentation related to data pipeline architecture, development processes, and data governance.
                                                                          • +
                                                                          • Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks.
                                                                          -

                                                                          -

                                                                          What you bring

                                                                          +


                                                                          Skills and attributes for success

                                                                            -
                                                                          • The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

                                                                          • -
                                                                          • 2-4 years work experience in various roles within forecasting, analytics, merchandising or supply chain.

                                                                          • -
                                                                          • University degree in engineering, math, computer science, statistics, business or related field.

                                                                          • -
                                                                          • Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights or recommendations.

                                                                          • -
                                                                          • Programming experience with Python, SQL, or VBA.

                                                                          • -
                                                                          • Advanced technical skills in Microsoft Access, Excel, Database systems.

                                                                          • -
                                                                          • Passion for data sciences, machine learning, and visualizations. Cloud experience is an asset.

                                                                          • -
                                                                          • Results-oriented, with proven project and time management skills (planning, prioritizing, executing, and tracking).

                                                                          • -
                                                                          • Business mindset with an understanding of the retail industry.

                                                                          • -
                                                                          • Effective written and verbal communication skills, including presentation abilities.

                                                                          • +
                                                                          • Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate.
                                                                          • +
                                                                          • Experience with machine learning frameworks and libraries.
                                                                          • +
                                                                          • Knowledge of additional big data tools and platforms.
                                                                          • +
                                                                          • Familiarity with data visualization tools and techniques.
                                                                          -

                                                                          -

                                                                          Hybrid

                                                                          -

                                                                          We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

                                                                          -

                                                                          -

                                                                          -

                                                                          About Us

                                                                          -

                                                                          -

                                                                          Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there\'s a place for you here.

                                                                          -

                                                                          -

                                                                          Our Commitment to Diversity, Inclusion and Belonging

                                                                          -

                                                                          -

                                                                          We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

                                                                          -

                                                                          -

                                                                          Accommodations

                                                                          -

                                                                          -

                                                                          We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

                                                                          -

                                                                          -
                                                                          ",,https://canadiantirecorporation.wd3.myworkdayjobs.com/en-US/Enterprise_External_Careers_Site/job/Toronto-ON/Forecast-Modelling-Analyst_JR138048?locationCountry=a30a87ed25634629aa6c3958aa2b91ea&jobFamilyGroup=a4710df742e51025f2508a3c64f10000,info@cantire.ca,,,,2024-10-03T08:45:02.257Z,False,0,10,40,https://talenthub.vectorinstitute.ai/jobs/341822110-forecast-modelling-analyst-at-canadian-tire-corporation,,expired,2024-09-12T16:27:00.000Z,import-xml-feed:Canadian-Tire,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -1a3321d5-1672-4cb2-a965-6b46edc276bd,342711417,Vector Institute,Data Analytics Intern,on_site,"Ontario, Canada",2024-09-19T12:38:01.810Z,"

                                                                          Data Analytics Intern

                                                                          -

                                                                          POSITION OVERVIEW

                                                                          -

                                                                          The Data Analytics Intern will have the opportunity to gain real-world experience in data analytics and database management at a leading institute. The objectives of this role are to manage and analyze data from various sources and translate large data into actionable insights to support Vector’s objectives around workforce development and research excellence. Reporting to the Data Analyst on the Research Operations & Academic Partnerships team, you will play a key role in ensuring the goals of the team relating to all data-related requests are met.

                                                                          -

                                                                          Start date: January 6, 2025

                                                                          -

                                                                          End date: April 25, 2025

                                                                          -

                                                                          APPLIED INTERNSHIPS AT VECTOR

                                                                          -

                                                                          The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 6 - April 25, 2025) with an opportunity to continue over the Summer 2025 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantages and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                          -

                                                                          KEY RESPONSIBILITIES

                                                                          -
                                                                            -
                                                                          • Clean, upload, and maintain data in Google Sheets and Salesforce on a weekly basis;

                                                                          • -
                                                                          • Generate insightful data visualizations and/or an interactive dashboard from existing data to illustrate trends and key insights using Microsoft PowerBI and/or Google Sheets;

                                                                          • -
                                                                          • Assist with diagnosing and maintaining Python data scraping algorithms using Github actions via Scrapy and/or BeautifulSoup;

                                                                          • -
                                                                          • Assisting with automation workflows where needed using Salesforce automation tools and Zapier;

                                                                          • -
                                                                          • Develop ad-hoc data analytics reports in Google Sheets; and,

                                                                          • -
                                                                          • Other duties as assigned.

                                                                          • +


                                                                            To qualify for the role you must have

                                                                            +
                                                                              +
                                                                            • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
                                                                            • +
                                                                            • Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services.
                                                                            • +
                                                                            • Strong programming skills in languages such as Python, Scala, or Java.
                                                                            • +
                                                                            • Experience with Apache Spark and its integration with Databricks.
                                                                            • +
                                                                            • Proficiency in SQL and experience with data modeling and data warehousing concepts.
                                                                            • +
                                                                            • Familiarity with DevOps practices and CI/CD pipelines.
                                                                            • +
                                                                            • Excellent analytical and problem-solving abilities.
                                                                            • +
                                                                            • Effective communication skills and the ability to work collaboratively in a team environment.
                                                                            • +
                                                                            +


                                                                            What we offer
                                                                            At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                            +


                                                                            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                            +
                                                                              +
                                                                            • Support and coaching from some of the most engaging colleagues in the industry
                                                                            • +
                                                                            • Learning opportunities to develop new skills and progress your career
                                                                            • +
                                                                            • The freedom and flexibility to handle your role in a way that’s right for you

                                                                            -

                                                                            SUCCESS MEASURES

                                                                            -
                                                                              -
                                                                            • A strong ETL execution for Salesforce through an integration with Google Suite and/or Microsoft Office Suite;

                                                                            • -
                                                                            • Analysis of trends in Ontario’s AI talent community with existing data and providing decision-making supports on engagement in AI talent community;

                                                                            • -
                                                                            • Reports generated on high-level insights; and,

                                                                            • -
                                                                            • Data visualizations/interactive dashboard created are accessible, with key outcomes highlighted, and integrated well with data inputs.

                                                                            • +

                                                                              Diversity and Inclusion at EY

                                                                              +

                                                                              +

                                                                              Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                              +

                                                                              EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                              ",,https://careers.ey.com/ey/job/Calgary-Senior-Consultant-AI-and-Data-Azure-Databricks-Data-Engineer-AB-T2P-1M4/1087549601/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:02:03.146Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/337447911-senior-consultant-ai-and-data-azure-databricks-data-engineer-at-ey,,expired,2024-08-09T17:01:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +cab4221f-5a4e-415f-9772-61664de2e6cc,337447938,EY,Senior Product Leader - Data and Analytics,on_site,"Toronto, ON, Canada",2024-08-09T17:09:33.245Z,"

                                                                              Job description

                                                                              +

                                                                              Requisition ID: 1525739

                                                                              +

                                                                              At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                              +

                                                                              The Opportunity
                                                                              We are seeking an experienced Data & Analytics Product Lead to join our team.

                                                                              +


                                                                              We have recently created a Solutions / Products group within our Consulting organization, to transform the way we deliver value to our clients and leapfrog our competition. In this new world, we believe that the best work will be done by not just throwing more humans at the problem, but by intelligently building offerings that 10x our impact.

                                                                              +


                                                                              This role will be a key part of this new product leadership group, focusing on the development of data offerings and digital products that address complex, risk-related challenges, and drive innovation in the financial services industry.

                                                                              +


                                                                              Your Key Responsibilities

                                                                              +
                                                                                +
                                                                              • +Identify opportunities for impactful products: The most crucial aspect of this role is to be the visionary product leader we need you to be. This will entail understanding EY’s strengths, exploring the complete world of opportunities, developing a point of view on where success will come from, and leading your product(s) from discovery to delivery to create impact. This role is for those who want to have ownership, and to craft the strategy for impactful products.
                                                                              • +
                                                                              • +Leadership and buy-in: We deeply value leadership and collaboration at E, and know that the best products are created as a group effort. You will have the opportunity to lead with your ideas, and collaborate with subject matter experts globally to create large scale products. Your role will involve selling your vision both internally and externally, just as it is expected of all successful product leaders.
                                                                              • +
                                                                              • +Delivering product and business outcomes: As EY’s Solutions / Products group, we do things differently. We want our product leaders to not be leading feature factories, where people simply capture requirements and churn out user stories. We are looking at you to tell us how you want to deliver business outcomes, and own your product end to end to ensure that it is creating value both for our clients, and for EY.
                                                                              • +
                                                                              • +Helping grow your business: We operate with an ownership mindset at EY. We know that you’ve done big things in your past, and we want to help you build your product portfolio in a way that is going to make you proud. As you show success, we will be supporting you in growing your team, and take on even bigger challenges.
                                                                              • +
                                                                              • +Levelling up the product craft: We are looking to bring in true craftspeople within our product group. A big part of our mandate internally is to level up how we think about product creation at EY. You will have plenty of opportunities to not only coach others, but also bring your own frameworks and thinking to ensure we have a product management practice we’re all proud of.

                                                                              -

                                                                              PROFILE OF THE IDEAL CANDIDATE

                                                                              -
                                                                                -
                                                                              • You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.

                                                                              • -
                                                                              • You are in the second year or higher, studying at a Canadian university or college, or a recent graduate within 1 semester of graduation.

                                                                              • -
                                                                              • You have experience using Google Suite (e.g., Google Sheets, Google Drive), Excel and its advanced functions, and data visualization tools such as Power BI or Tableau.

                                                                              • -
                                                                              • You have experience managing CRM systems such as Salesforce and are able to perform Extract Transform Load (ETL) processes on large datasets.

                                                                              • -
                                                                              • You have basic proficiency with programming languages, especially Python. Experience with Scrapy/BeautifulSoup is an asset.

                                                                              • -
                                                                              • You have experience translating large datasets into actionable insights.

                                                                              • -
                                                                              • You understand the limits and constraints associated with data usage (e.g., privacy concerns, challenges associated with unstructured data or unlabelled data).

                                                                              • -
                                                                              • You are organized and efficient, with strong problem-solving skills.

                                                                              • +

                                                                                Skills and attributes for success

                                                                                +
                                                                                  +
                                                                                • Demonstrated expertise in building data & analytics products.
                                                                                • +
                                                                                • Strong knowledge and experience in developing solutions in the worlds of data engineering and data science.
                                                                                • +
                                                                                • Excellent leadership and communication skills, capable of inspiring teams and building robust client relationships.
                                                                                • +
                                                                                • Strategic thinking and visioning skills in product development, preferably in large and complex environments.

                                                                                -

                                                                                NICE TO HAVE

                                                                                -
                                                                                  -
                                                                                • You have experience with automation tools, such as Zapier and triggered workflows in Salesforce.

                                                                                • -
                                                                                • You are motivated by continuous learning and the opportunity to make a real and meaningful contribution to the AI ecosystem.

                                                                                • -
                                                                                • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                                                                • -
                                                                                • You possess integrity, a positive attitude, sense of humour, and can bring an optimistic energy and outlook to a not-for-profit corporate culture.

                                                                                • +

                                                                                  To qualify for the role you must have

                                                                                  +
                                                                                    +
                                                                                  • Master’s or Bachelor’s degree in Business, Computer Science or Engineering.
                                                                                  • +
                                                                                  • 8+ years of experience in product management, preferably with a significant focus data products and analytics offerings.
                                                                                  • +
                                                                                  • Proven experience in delivering outcomes, both for customers and for the business.
                                                                                  • +
                                                                                  • In-depth understanding of risk management principles, financial regulations, and digital technology trends.

                                                                                  -

                                                                                  Compensation: $25/hour.

                                                                                  -


                                                                                  -

                                                                                  If you have any questions, please contact internships@vectorinstitute.ai.

                                                                                  -


                                                                                  -

                                                                                  Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is October 1, at 9:00AM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                                                                  -

                                                                                  At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                                                                  -

                                                                                  Vector is committed to workforce development in AI and to building a strong and diverse AI ecosystem in Canada. Vector encourages applications to our internship programs from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, and LGBTQ2S+ persons.

                                                                                  -

                                                                                  If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                                                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=508057&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2024-10-03T08:52:02.501Z,False,0,30,142,https://talenthub.vectorinstitute.ai/jobs/342711417-data-analytics-intern-at-vector-institute,,expired,2024-09-19T12:38:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -8605ec95-7e79-4611-a25c-6c74ffe03052,342742087,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2024-09-19T19:52:54.559Z,"

                                                                          The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                                                          -

                                                                          We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                                                                          -

                                                                          The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                                                          -

                                                                          What are your main responsibilities?

                                                                          +

                                                                          Ideally, you’ll also have

                                                                            -
                                                                          • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                                                                          • -
                                                                          • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                                                                          • -
                                                                          • Go-to person for data and model delivery within Layer 6
                                                                          • -
                                                                          • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                                                                          • +
                                                                          • A background in data engineering.
                                                                          • +
                                                                          • Experience in both 0 to 1 product management, and in-market product growth.
                                                                          • +
                                                                          • Scaled Agile leadership.

                                                                          -

                                                                          Required Technical Skills

                                                                          +

                                                                          What we offer

                                                                          +


                                                                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                          +

                                                                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                            -
                                                                          • BSc+ in Computer Science, Math, Physics, or similar
                                                                          • -
                                                                          • 5+ years of extensive programming experience, at least 3 years in building production data systems
                                                                          • -
                                                                          • 3+ years experience of building machine learning production system
                                                                          • -
                                                                          • Expert level skills in system design
                                                                          • -
                                                                          • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                                                          • -
                                                                          • Strong knowledge of Machine Learning and Deep Learning
                                                                          • -
                                                                          • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                                                                          • -
                                                                          • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                                                                          • -
                                                                          • Strong experience with Scala and Java 8
                                                                          • +
                                                                          • Support and coaching from some of the most engaging colleagues in the industry
                                                                          • +
                                                                          • Learning opportunities to develop new skills and progress your career
                                                                          • +
                                                                          • The freedom and flexibility to handle your role in a way that’s right for you

                                                                          -

                                                                          Nice to have Skills

                                                                          -
                                                                          • C++, Python experience
                                                                          +

                                                                          Diversity and Inclusion at EY
                                                                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                          +


                                                                          If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                                                          +


                                                                          The exceptional EY experience. It’s yours to build.

                                                                          +

                                                                          EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                          ",,https://careers.ey.com/ey/job/Toronto-Senior-Product-Leader-Data-and-Analytics-ON-M5H-0B3/1099675801/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:09:36.418Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/337447938-senior-product-leader-data-and-analytics-at-ey,,expired,2024-08-09T17:09:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +f086a958-a685-42c8-90ee-60efd2ccbb3f,337447941,EY,Senior Consultant -Responsible AI-Technology Risk -Assurance,on_site,"Toronto, ON, Canada",2024-08-09T17:11:03.283Z,"

                                                                          Job description

                                                                          +

                                                                          Requisition ID: 1527857

                                                                          +

                                                                          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                                                          +

                                                                          Creating confidence and trust in data and technology is becoming a greater societal concern with the growth of emerging technologies, such as Artificial Intelligence (AI). Understanding risks arising from the implementation and use of technology is increasingly important to accelerating business performance and achieving sustainable growth. The ability to understand these risks and bridge the knowledge gap that often exists between business and IT is the core strength of EY’s Technology Risk team. Our Responsible AI professionals provide independent advice and assurance to our clients over the design and operation of their internal controls over AI, the security of their AI systems, the delivery of AI usage, their relationships with third parties, and their management, stewardship and ability to exploit business critical data.

                                                                          +


                                                                          The opportunity
                                                                          EY is investing in our Responsible AI practice. We are seeking a Senior to join our Technology Risk – Responsible AI team to help our clients integrate responsible AI considerations, including fairness, transparency, reliability, security and accountability into their AI initiatives. You will assist in managing engagement teams, as well as working directly with clients in evaluating the sufficiency of their AI governance, risk management and control practices related to AI model development, testing and deployment to maximize efficiencies and minimize risk.

                                                                          +

                                                                          You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge on risk management and AI regulations while developing your skillset to keep up with the ever-growing demands on AI capabilities. This is a high growth area with plenty of opportunity to enhance your skillset and build your career.

                                                                          -

                                                                          Benefits

                                                                          +

                                                                          Your Key Responsibilities:

                                                                          +

                                                                          As a Responsible AI Senior, you will supervise junior team members and work with a variety of clients to assess and evaluate their AI governance, risk management and control frameworks. Specific responsibilities include:

                                                                            -
                                                                          • Entrepreneurial and inclusive culture
                                                                          • -
                                                                          • Excellent health coverage and pension plan
                                                                          • -
                                                                          • Four weeks paid vacation
                                                                          • -
                                                                          • Catered lunches twice a week over machine learning talks
                                                                          • +
                                                                          • Conduct independent evaluations of the sufficiency of clients’ internal policies, procedures and practices against EY’s Responsible AI framework, industry guidelines and regulatory requirements.
                                                                          • +
                                                                          • Execution of audit procedures of AI systems in support of financial statement audits, service organization control reports and internal audits.
                                                                          • +
                                                                          • Internal Controls Attestations – Providing an opinion on management’s assertion over business processes and controls, including controls over AI systems.
                                                                          • +
                                                                          • Provide high quality professional day-to-day management of engagements/projects and understand EY’s practices and service offerings and identify potential opportunities to improve such service offerings.
                                                                          • +
                                                                          • Lead and support the on-site coordination role for clients including planning, briefing team on the client's AI environment and industry AI trends, coaching and mentoring staff, communicating with the clients and completing assessment or audit engagements.
                                                                          • +
                                                                          • Support preparation of AI-related reports on the adequacy and effectiveness of control structure, along with practical recommendations to improve the effectiveness, efficiency of a control or process.
                                                                          • +
                                                                          • Leverage understanding of AI technology and responsible AI trends to develop practical recommendations to improve the effectiveness and efficiency of a control or process.
                                                                          • +
                                                                          • Able to discuss and resolve issues and recommendations with client management.
                                                                          -

                                                                          Layer 6 is a fully owned subsidiary of TD Bank. This position is located at MaRS Discovery District at University & College in Toronto, Canada.

                                                                          ",,https://layer6.ai/careers/#Sr-Machine-Learning-Product-Engineer-8211-Tech-Lead-614,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2024-10-07T21:00:00.000Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/342742087-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2024-09-19T19:52:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

                                                                          Additional Responsibilities:

                                                                          +
                                                                            +
                                                                          • Assist the team in preparing go-to-market materials for Responsible AI services for both internal and external use.
                                                                          • +
                                                                          • Lead and support teams including delivering virtual and classroom-based AI-related audit training.
                                                                          • +
                                                                          • Maintain relationships with client management to manage expectations of service, including work products, timing, and value delivered.
                                                                          • +
                                                                          • Maintain long-term client relationships and networks and cultivate business development opportunities.
                                                                          • +
                                                                          +

                                                                          Skills and attributes for success:

                                                                          +
                                                                            +
                                                                          • Experience with responsible AI practices, risk governance, control frameworks and principles .
                                                                          • +
                                                                          • Understanding of types of AI models and AI lifecycle stages.
                                                                          • +
                                                                          • Staying abreast of AI technology trends and provide directional guidance and recommendations around responsible AI practices and principles.
                                                                          • +
                                                                          • Applying combined business and technical knowledge to develop and execute assessments and evaluations of AI governance, risk management and control frameworks.
                                                                          • +
                                                                          • Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, and DevOps to incorporate responsible AI practices into the client’s AI program.
                                                                          • +
                                                                          • Collaborating with clients to understand their business objectives and develop tailored responsible AI strategies aligned with their values and regulatory obligations.
                                                                          • +
                                                                          • Providing advice in the design and implementation of ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, reliability, security and accountability.
                                                                          • +
                                                                          • Highly professional with ability to work in challenging, diverse and evolving client environments.
                                                                          • +
                                                                          • Flexible with the ability to learn quickly and leverage skills in new situations.
                                                                          • +
                                                                          • Seeking out information to learn about emerging responsible AI methodologies and AI technologies.
                                                                          • +
                                                                          • Looking for opportunities for improving methods and outcomes.
                                                                          • +
                                                                          • Excellent verbal and written communication skills.
                                                                          • +
                                                                          • The ability to build strong client relationships.
                                                                          • +
                                                                          • Strong team working skills are essential.
                                                                          • +
                                                                          • Strong presentation and facilitation skills.
                                                                          • +
                                                                          • A passion to contribute to the growth of the practice.
                                                                          • +
                                                                          • Strong experience interacting with clients at all levels including staff, leadership and partners.
                                                                          • +
                                                                          • Strong written, communication, and presentation skills.
                                                                          • +
                                                                          • Ability to coach and mentor junior staff on engagements.
                                                                          • +
                                                                          +

                                                                          To qualify for the role, you must have:

                                                                          +
                                                                            +
                                                                          • A minimum of 2 - 4 years of experience in IT audits and/or risk assessments and/or technology evaluations, including AI.
                                                                          • +
                                                                          • Bachelor’s Degree (or higher) in Data Science, Statistics, Mathematics, Business Administration, Commerce, Computer Science, Management Information Systems, or other relevant program required.
                                                                          • +
                                                                          • Possessing relevant audit or technology-related designation(s) or working towards one (e.g. CPA, CISA, CIA, CISSP, CISM) is required.
                                                                          • +
                                                                          • Practical knowledge in any of the following areas: AI technologies, AI ethics, AI risks and controls, responsible AI principles, data governance.
                                                                          • +
                                                                          • Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
                                                                          • +
                                                                          • Proficiency using MS Office Suite including Excel, Word, OneNote and PowerPoint.
                                                                          • +
                                                                          • Experience leveraging analytic tools, including the collection and preparation of data and evaluating data quality.
                                                                          • +
                                                                          • Strong analytical, interpersonal, and communication skills.
                                                                          • +
                                                                          • Independent and able to manage and prioritize workload.
                                                                          • +
                                                                          • Ability to adapt quickly and positively to change.
                                                                          • +
                                                                          • Ability to obtain Government of Canada Secret clearance.
                                                                          • +
                                                                          • Willingness to travel.
                                                                          • +
                                                                          +

                                                                          Ideally, you’ll also have (good to have):

                                                                          +
                                                                            +
                                                                          • Certification in relevant areas such as AI ethics, data ethics and responsible AI, such as AI Ethics Certification, Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or International Association of Privacy Professionals’ AI Governance Professional designation.
                                                                          • +
                                                                          • Understanding of python, R+, and model design.
                                                                          • +
                                                                          • Data governance and/or data security protection experience.
                                                                          • +
                                                                          • Experience with evaluating compliance with regulations and incorporating new AI regulations and laws within engagements, specifically the Digital Services Act (DSA), European Union AI Act, and US AI guidelines/laws.
                                                                          • +
                                                                          • Familiarity with the National Institute of Standards and Technology AI Risk Management Framework and the ISO/IEC 42001 standard.
                                                                          • +
                                                                          +

                                                                          What We Look For
                                                                          We’re interested in passionate professionals with a desire to deeply understand the trends at the intersection of business, AI and data, risk management, compliance and regulations. We want a customer-focused individual who is motivated to act as an ambassador for the Responsible AI team to exceed our clients' high expectations. We’re interested in highly motivated talented individuals with a strong willingness to think outside of the box. You can expect plenty of autonomy in this role, so you’ll need the motivation to take initiative and seek out opportunities to improve our current relationships and expand our business in the evolving market. If you’re serious about shaping the future with confidence and ready to take on some of our clients’ most complex issues, this role is for you.

                                                                          +


                                                                          What We offer
                                                                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                                                          +


                                                                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                                                          +
                                                                            +
                                                                          • Support and coaching from some of the most engaging colleagues in the industry
                                                                          • +
                                                                          • Learning opportunities to develop new skills and progress your career
                                                                          • +
                                                                          • The freedom and flexibility to handle your role in a way that’s right for you
                                                                          • +
                                                                          +

                                                                          Diversity and Inclusion at EY

                                                                          +

                                                                          +

                                                                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                                                          +

                                                                          EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                                                          ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Responsible-AI-Technology-Risk-Assurance-ON-M5H-0B3/1103701501/,aitalent@vectorinstitute.ai,https://www.ey.com/ca/en/careers,,,2024-09-08T17:11:05.532Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/337447941-senior-consultant-responsible-ai-technology-risk-assurance-at-ey,,expired,2024-08-09T17:11:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, 8356ef17-740b-4d95-8da0-4402bd6abba2,339831463,BMO Financial Group,Data Analyst - Winter 2025 (Co-op/Internship) - 4 Months,on_site,"Ontario, Canada",2024-08-29T16:18:02.560Z,"

                                                                          Application Deadline:

                                                                          09/08/2024

                                                                          @@ -72799,181 +74219,281 @@ c2a04e3c-219d-4f93-9c20-15b0fee14de6,332609428,Scotiabank,"Manager, Analytics &

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-&-Data-Management-ON-M5H1B6/582081517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-07-25T16:33:05.420Z,False,0,5,35,https://talenthub.vectorinstitute.ai/jobs/332609428-manager-analytics-data-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Analytics-&-Data-Management-ON-M5H1B6/582081517/,expired,2024-07-04T16:28:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -cc645ccb-89d8-46fc-9936-8ccf34538953,342351965,RBC,Staff Data Engineer,on_site,"Toronto, ON, Canada",2024-09-16T12:12:03.117Z,"
                                                                          -

                                                                          Job Summary

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Description

                                                                          -

                                                                          What is the opportunity?

                                                                          -

                                                                          -

                                                                          The RBC Borealis group is responsible for enabling RBC to become a data and AI driven organization. As part of this mission, the Data Solution team in RBC Borealis works with various lines of business to create and build data-driven solutions to serve our clients better. Data Solutions team is dedicated to delivering comprehensive data solutions that drive business success. Specializing in building robust data services/API’s and conducting in-depth data analysis, Data Solutions uncovers critical insights that inform strategic decisions, generates significant business value and identifies new opportunities for growth, and integrates with AI Solutions to ensure that business can leverage their data assets to achieve competitive advantages

                                                                          -

                                                                          -

                                                                          What will you do?

                                                                          -
                                                                            -
                                                                          • Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
                                                                          • -
                                                                          • Build data services to serve data to RBC Client and internal groups, and integrate with operational systems and AI solutions to enable data/AI driven process
                                                                          • -
                                                                          • Build data services with very high performance, scalability, and reliability.
                                                                          • -
                                                                          • Implement data security measures and best practices to ensure data privacy, integrity, and compliance with regulatory standards
                                                                          • -
                                                                          • Explore new capabilities and technologies to drive innovation.
                                                                          • -
                                                                          • Work closely with data scientists, analysts, software engineers, and other stakeholders to understand data requirements and deliver effective data solutions.
                                                                          • -
                                                                          • Communicate technical concepts to non-technical stakeholders.
                                                                          • -
                                                                          -

                                                                          -

                                                                          What do you need to succeed? Must-have

                                                                          -
                                                                            -
                                                                          • Bachelor’s degree in computer science, software engineering, or equivalent or; or diploma in related technical discipline
                                                                          • -
                                                                          • 3+ years’ experience in developing scalable applications using Java/Scala/Python; leveraging big data technologies (Hadoop, Spark, Kafka, ELK, etc) to build data products and services
                                                                          • -
                                                                          • 3+ years’ experience in building scalable, high performance, high availability applications
                                                                          • -
                                                                          • 3+ years’ experience of building data services in public cloud environments (Azure & AWS)
                                                                          • -
                                                                          • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others
                                                                          • -
                                                                          • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
                                                                          • -
                                                                          -

                                                                          -

                                                                          Nice-to-have

                                                                          -
                                                                            -
                                                                          • Experience deploying to and running applications on Kubernetes/Openshift
                                                                          • -
                                                                          • Experience of NoSQL stores (Elasticsearch, Redis, MongoDB, etc…)
                                                                          • -
                                                                          • Experience building or executing Machine Learning pipelines
                                                                          • -
                                                                          • Experience building operational APIs
                                                                          • -
                                                                          -

                                                                          -

                                                                          What’s in it for you?

                                                                          -

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          -
                                                                            -
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                          • -
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • -
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • -
                                                                          • A world-class training program in financial services
                                                                          • -
                                                                          • Flexible work/life balance options
                                                                          • -
                                                                          • Opportunities to take on progressively greater accountabilities
                                                                          • -
                                                                          • Access to a variety of job opportunities across business and geographies
                                                                          • -
                                                                          -

                                                                          -

                                                                          #LI-HYBRID
                                                                          #LI-POST

                                                                          -

                                                                          -

                                                                          -

                                                                          Job Skills

                                                                          Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                                          -

                                                                          -

                                                                          -

                                                                          Additional Job Details

                                                                          -

                                                                          Address:

                                                                          RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-09-11

                                                                          Application Deadline:

                                                                          2024-10-25

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          -
                                                                          -

                                                                          Inclusion and Equal Opportunity Employment

                                                                          -

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          -
                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          -
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000098632/Staff-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-16T19:15:38.604Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/342351965-staff-data-engineer-at-rbc,,expired,2024-09-16T12:12:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -891b4fff-ac71-4bbb-906c-9f2175de9fa0,341822239,TELUS,Manager - Artificial Intelligence,on_site,"Ontario, Canada",2024-09-12T16:40:03.480Z,"
                                                                          -
                                                                          -

                                                                          Join our team and what we\'ll accomplish together

                                                                          -
                                                                          -

                                                                          -

                                                                          The Data Strategy & Enablement (DSE) team is on a continuous journey towards helping TELUS become a world-class leader in Artificial Intelligence products and solutions. We achieve this by delivering ML and data analytics capabilities built upon unified scalable platforms, advanced tooling, high-quality data, and fostering a product and platform-oriented culture. We are always keeping an eye on the horizon, preparing for the next big thing.

                                                                          -


                                                                          Our team members appreciate diversity of thinking, ideas, and experiences, and are always learning, experimenting, and applying new insights into everything we do. The AI Accelerator team, within DSE, plays a central role in harnessing the full potential of AI across the company. From service analytics, geo analytics, financial and behavioral analytics, we act as transformation consultants to help our business unit partners create exponential value through an insight-by-design approach.

                                                                          -


                                                                          A key focus of this role will be to collaborate across business units to ideate, define, and champion opportunities to apply AI insights that drive improved decision-making and stronger business outcomes. As a Manager of Artificial Intelligence, you will lead a team of data experts (Machine Learning Engineers, Data Engineers, Data Scientists, and Data Analysts) to drive solutions in collaboration with our marketing, engineering, sales, business solutions, security, privacy teams, and TELUS-wide AI-focused teams. You will build on our existing strengths in privacy, analytics, strategy, and architecture.

                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          What you\'ll do

                                                                          -
                                                                          -

                                                                          -
                                                                            -
                                                                          • Lead and Inspire: Manage and motivate a team of AI experts, inspiring them to act as intrapreneurs who identify opportunities, take calculated risks, and own the results and impact of their work
                                                                          • -
                                                                          • Strategic Implementation: Drive the development and execution of AI strategies that align with TELUS\' business objectives, ensuring transformative and disruptive technologies are implemented at scale
                                                                          • -
                                                                          • Stakeholder Engagement: Communicate complex technical problems and AI-driven insights to non-technical audiences to unlock new business needs and drive decision-making
                                                                          • -
                                                                          • Motivate and Retain Talent: Cultivate a motivating environment where team members feel valued and encouraged to pursue continuous learning and innovation in a fast-changing technological landscape
                                                                          • -
                                                                          • Change Management: Facilitate organizational change by operationalizing AI insights and managing transformations through effective change management practices
                                                                          • -
                                                                          • Engineering Excellence: Spearhead the development and implementation of robust, scalable, and efficient AI solutions. Ensure adherence to best practices in software engineering, data management, and model deployment
                                                                          • -
                                                                          • Empowerment & Optimization: Help team members to resolve complex technical, process, and business roadblocks. Dynamically prioritize the team’s work to maximize measurable business outcomes, managing delivery lifecycles and business models efficiently
                                                                          • -
                                                                          -
                                                                          -
                                                                          -
                                                                          -

                                                                          What you bring

                                                                          -
                                                                          -

                                                                          -
                                                                            -
                                                                          • AI Expertise: Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                                          • -
                                                                          • Business Development: Experience developing new strategies and identifying business opportunities that result in efficiencies and financial outcomes.
                                                                          • -
                                                                          • Team Leadership: 3+ years of experience in a role guiding and influencing people. Excellent communicator with a track record of building strong relationships, driving a culture of high engagement, and delivering outstanding program results.
                                                                          • -
                                                                          • Business & Financial Acumen: Ability to own the overall financial strategy around people, processes, and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                                          • -
                                                                          • Impactful communication: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                                          • -
                                                                          • Process Automation Know-How: Strong analytics, digitization, and process automation knowledge.
                                                                          • -
                                                                          • Bachelor’s or Master’s degree in Engineering, Data Science, Computer Science, or related fields.
                                                                          • -
                                                                          -


                                                                          Great-to-Haves

                                                                          -

                                                                          -
                                                                            -
                                                                          • MBA (Master in Business Administration)
                                                                          • -
                                                                          • Master of Engineering, Artificial Intelligence, Computer Science, or related fields
                                                                          • -
                                                                          • Deep understanding of cloud computing environments and associated analytics opportunities and challenges
                                                                          • -
                                                                          • -Strong knowledge of industry pressures in the telecommunications industry
                                                                          • -
                                                                          -
                                                                          -
                                                                          -
                                                                          ",,https://careers.telus.com/job/Toronto-Manager-Artificial-Intelligence-ON/582360017/,feed-importer@jobboard.io,,,,2024-10-16T19:35:04.519Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/341822239-manager-artificial-intelligence-at-telus,,expired,2024-09-12T16:40:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, -2954fe0b-77ca-46ae-8beb-489fb8dd27ee,341822247,OMERS,"Senior Data Analyst, Investment Finance & Valuations",on_site,"Ontario, Canada",2024-09-12T16:40:05.013Z,"
                                                                          -

                                                                          Choose a workplace that empowers your impact.

                                                                          -

                                                                          Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

                                                                          +c271ce2d-ce69-4922-9efc-218e7bf78f1d,342896318,Cohere AI,"Staff Research Engineer, Model Efficiency",on_site,"Toronto, ON, Canada",2024-09-20T16:41:02.092Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +
                                                                          Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The mission of the model efficiency team is pushing the limits of LLM serving efficiency of our foundation models with techniques such as model architecture optimization, efficient algorithms, and software/hardware co-optimization.
                                                                          +

                                                                          +
                                                                          As a Staff Research Engineer in the model efficiency team, you will develop innovative solutions to boost the performance of LLM inference.
                                                                          +

                                                                          +
                                                                          +Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. +
                                                                          +
                                                                          +
                                                                          +

                                                                          You may be a good fit for the model efficiency team if you:

                                                                          +
                                                                              +
                                                                            • Have a PhD in Machine Learning or a related field
                                                                            • +
                                                                            • Understand LLM architecture, and how to optimize LLM inference given resource constraints
                                                                            • +
                                                                            • Have significant experience with one or more techniques that enhance model efficiency
                                                                            • +
                                                                            • Have strong software engineering skills
                                                                            • +
                                                                            • Have an appetite to work in a fast-paced high-ambiguity start-up environment
                                                                            • +
                                                                            • Published and presented at top-tier conferences and venues (ICLR, ACL, NeurIPS)
                                                                            • +
                                                                            • Are passionate about mentoring others
                                                                            • +
                                                                          +
                                                                          +
                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/b79535dc-5285-44b0-9bf2-7b9c01182ae6,feed-importer@jobboard.io,,,,2024-10-14T16:46:04.072Z,False,0,8,38,https://talenthub.vectorinstitute.ai/jobs/342896318-staff-research-engineer-model-efficiency-at-cohere-ai,https://jobs.lever.co/cohere/b79535dc-5285-44b0-9bf2-7b9c01182ae6,expired,2024-09-20T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,PhD,New Posting, +ee78d287-3778-4f33-8c07-b7697cdc7df4,345766011,CIBC,AI and Data Science,on_site,"Ontario, Canada",2024-10-10T10:04:02.496Z,"
                                                                          +

                                                                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                                                          -

                                                                          We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

                                                                          +

                                                                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                                                          -

                                                                          Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

                                                                          +

                                                                          To learn more about CIBC, please visit CIBC.com

                                                                          -

                                                                          Don’t just work anywhere — come build tomorrow together with us.

                                                                          -

                                                                          Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

                                                                          -

                                                                          -

                                                                          -

                                                                          The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance & Valuations Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance & Valuations team. The role will lead various data analytics initiatives and deliver innovative solutions to Investment Finance & Valuations and partner divisions. To succeed in this role, the ideal individual needs strong attention to detail, have experience in leading data analysts, and have a proven ability to build relationships among the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                          +

                                                                          What You will Be Doing

                                                                          +

                                                                          The Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

                                                                          -

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

                                                                          +

                                                                          With your defined practical experience in the domain of Advanced Data Science, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

                                                                          -

                                                                          CORE RESPONSIBILITIES:

                                                                          +

                                                                          At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                                                          +

                                                                          +

                                                                          How You’ll Succeed

                                                                            -
                                                                          • Design and develop comprehensive interactive dashboards and reporting leveraging Power BI or similar business intelligence tools

                                                                          • -
                                                                          • Work across functional areas and with business stakeholders to understand and identify data and reporting objectives to develop relevant capabilities

                                                                          • -
                                                                          • Integrate data from various sources to create a unified view for analysis, and utilize advanced statistical and machine learning techniques to analyze data and generate insights

                                                                          • -
                                                                          • Collaborate with data engineers to ensure the availability and quality of data for analysis

                                                                          • -
                                                                          • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting

                                                                          • -
                                                                          • Effectively communicate complex analytical findings to non-technical stakeholders, and prepare and deliver comprehensive reports and presentations

                                                                          • -
                                                                          • Evaluate and recommend new tools and technologies for data analysis and be well acquainted with current industry trends and advancements in data analytics

                                                                          • -
                                                                          • Lead data-focused projects, collaborating with cross-functional teams to ensure successful project delivery

                                                                          • -
                                                                          • Develop and maintain comprehensive documentation of data sources, methodologies, transformation processes, business rules, and user guides

                                                                          • -
                                                                          • Contribute to the development and implementation of data governance policies and procedures

                                                                          • -
                                                                          • Lead and mentor the Data Analysts, and provide guidance on best practices, methodologies, and tools for data analysis, as well as training a support for the team

                                                                          • +
                                                                          • Data Science Expertise- Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                                                          • +
                                                                          • Analytical Partner- You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

                                                                          • +
                                                                          • Ignite innovation, drive actions- Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

                                                                          -

                                                                          QUALIFICATIONS:

                                                                          +

                                                                          Who You Are

                                                                            -
                                                                          • 5+ years of proven experience as a data analyst in a financial management and investment support environment

                                                                          • -
                                                                          • Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Science, or a similar discipline

                                                                          • -
                                                                          • Relevant certifications such as Microsoft Certified Data Analyst Associate, Certified Analytics Professional (CAP), or similar are considered an asset

                                                                          • -
                                                                          • Advanced proficiency with PowerBI and other data visualization tools

                                                                          • -
                                                                          • Strong proficiency in data analysis tools, such as Alteryx, Python, R, or similar

                                                                          • -
                                                                          • Strong SQL skills for data extraction and management, and familiarity with Azure technologies

                                                                          • -
                                                                          • Strong knowledge of statistical methods and data visualization techniques

                                                                          • -
                                                                          • Familiarity with machine learning algorithms and techniques and experience implementing predictive models

                                                                          • -
                                                                          • Strong attention to detail and accuracy, with the ability to identify and solve data errors within a data governance framework

                                                                          • -
                                                                          • Excellent communication and presentation skills (written and verbal) to effectively convey complex findings and technical concepts to non-technical stakeholders

                                                                          • -
                                                                          • Demonstrated ability to lead and mentor a team, with strong project management skills

                                                                          • -
                                                                          • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment

                                                                          • +
                                                                          • You can demonstrate experience in Predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

                                                                          • +
                                                                          • You understand advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

                                                                          • +
                                                                          • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                                                          • +
                                                                          • Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

                                                                          • +
                                                                          • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                                                          -

                                                                          +

                                                                          What CIBC Offers

                                                                          -

                                                                          As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

                                                                          +

                                                                          At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                                                          +
                                                                            +
                                                                          • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

                                                                          • +
                                                                          • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                                                          • +
                                                                          • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                                                          • +

                                                                          -

                                                                          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                                                          -
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Data-Analyst--Investment-Finance---Valuations_JR-6536?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-16T19:33:46.880Z,False,0,7,43,https://talenthub.vectorinstitute.ai/jobs/341822247-senior-data-analyst-investment-finance-valuations-at-omers,,expired,2024-09-12T16:40:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

                                                                          *Subject to plan and program terms and conditions

                                                                          +

                                                                          +

                                                                          What you need to know

                                                                          +
                                                                            +
                                                                          • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                                                          • +
                                                                          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                                                          • +
                                                                          • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Location

                                                                          Toronto-81 Bay, 21st Floor

                                                                          +

                                                                          Employment Type

                                                                          Regular

                                                                          +

                                                                          Weekly Hours

                                                                          37.5

                                                                          +

                                                                          Skills

                                                                          Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation
                                                                          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/AI-and-Data-Science_2418654?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2024-10-14T10:09:03.511Z,False,0,9,33,https://talenthub.vectorinstitute.ai/jobs/345766011-ai-and-data-science-at-cibc,,expired,2024-10-10T10:04:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c122b5cf-8046-469f-8b4c-552c6bbfa31a,341375697,Roche,Senior Data Engineer,on_site,"Mississauga, ON, Canada",2024-09-09T19:56:22.552Z,"

                                                                          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                          +

                                                                          +

                                                                          +

                                                                          The Position

                                                                          +

                                                                          Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground.

                                                                          +

                                                                          +

                                                                          We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology.

                                                                          +

                                                                          +

                                                                          As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights.

                                                                          +

                                                                          +

                                                                          The Opportunity:

                                                                          +

                                                                          +

                                                                          Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value.

                                                                          +
                                                                            +
                                                                          • Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance
                                                                          • +
                                                                          • Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipeline
                                                                          • +
                                                                          • Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights
                                                                          • +
                                                                          +

                                                                          +

                                                                          Who You Are:

                                                                          +
                                                                            +
                                                                          • 5+ years of experience as a Data Engineer. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous
                                                                          • +
                                                                          • Python experience (Pandas preferred)
                                                                          • +
                                                                          • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc)
                                                                          • +
                                                                          • Understanding of DataOps Practices
                                                                          • +
                                                                          • RDBMS/NoSQL
                                                                          • +
                                                                          • Docker experience
                                                                          • +
                                                                          • AWS experience preferred (EC2 / Lambda / Glue / S3)
                                                                          • +
                                                                          • Snowflake or similar cloud data platform experience preferred
                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Relocation benefits are not available for this position.

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Who we are

                                                                          +

                                                                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                                                          +

                                                                          +

                                                                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                                                          +

                                                                          +

                                                                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                                                          +

                                                                          +

                                                                          Roche is an Equal Opportunity Employer.

                                                                          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Sr-Data-Engineer_202405-111910-1,aimee.park@roche.com,https://www.roche.com/careers.htm,,,2024-10-10T17:30:00.000Z,False,0,7,48,https://talenthub.vectorinstitute.ai/jobs/341375697-senior-data-engineer-at-roche,,expired,2024-09-09T19:56:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +8d304ac2-02a0-4d22-b070-7c8fa30abf32,341597394,Cohere AI,"Member of Technical Staff, Modeling",on_site,"Toronto, ON, Canada",2024-09-11T16:41:02.054Z,"
                                                                          +
                                                                          Who are we?
                                                                          +
                                                                          Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
                                                                          +

                                                                          +
                                                                          We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
                                                                          +

                                                                          +
                                                                          Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
                                                                          +

                                                                          +
                                                                          Join us on our mission and shape the future!
                                                                          +

                                                                          +
                                                                          Why this role?
                                                                          +
                                                                          Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
                                                                          +

                                                                          +
                                                                          Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
                                                                          +
                                                                          +

                                                                          As a Member of Technical Staff, you will:

                                                                          +
                                                                              +
                                                                            • Design, build and scale AI systems for serving our users.
                                                                            • +
                                                                            • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
                                                                            • +
                                                                            • Learn from and work with the best researchers in the field.
                                                                            • +
                                                                          +
                                                                          +

                                                                          You may be a good fit if you have:

                                                                          +
                                                                              +
                                                                            • Extremely strong software engineering skills.
                                                                            • +
                                                                            • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
                                                                            • +
                                                                            • Experience writing kernels for GPUs using CUDA.
                                                                            • +
                                                                            • Experience using large-scale distributed training strategies.
                                                                            • +
                                                                            • Familiarity with autoregressive sequence models, such as Transformers.
                                                                            • +
                                                                            • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
                                                                            • +

                                                                              +
                                                                              * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                                                              +
                                                                          +
                                                                          +
                                                                          If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                                                          +

                                                                          +
                                                                          +We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. +
                                                                          +

                                                                          +
                                                                          Our Perks:
                                                                          +
                                                                          🤝 An open and inclusive culture and work environment
                                                                          +
                                                                          🧑‍💻 Work closely with a team on the cutting edge of AI research
                                                                          +
                                                                          🍽 Weekly lunch stipend, in-office lunches & snacks
                                                                          +
                                                                          🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                                                          +
                                                                          🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                                                          +
                                                                          🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                                                          +
                                                                          🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
                                                                          +
                                                                          ✈️ 6 weeks of vacation
                                                                          +

                                                                          +
                                                                          Note: This post is co-authored by both Cohere humans and Cohere technology.
                                                                          +
                                                                          ",,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,feed-importer@jobboard.io,,,,2024-10-11T19:17:27.356Z,False,0,19,111,https://talenthub.vectorinstitute.ai/jobs/341597394-member-of-technical-staff-modeling-at-cohere-ai,https://jobs.lever.co/cohere/f36be9d9-795e-4234-b170-b4861feea10e,expired,2024-09-11T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,No Degree,New Posting, +cc645ccb-89d8-46fc-9936-8ccf34538953,342351965,RBC,Staff Data Engineer,on_site,"Toronto, ON, Canada",2024-09-16T12:12:03.117Z,"
                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What is the opportunity?

                                                                          +

                                                                          +

                                                                          The RBC Borealis group is responsible for enabling RBC to become a data and AI driven organization. As part of this mission, the Data Solution team in RBC Borealis works with various lines of business to create and build data-driven solutions to serve our clients better. Data Solutions team is dedicated to delivering comprehensive data solutions that drive business success. Specializing in building robust data services/API’s and conducting in-depth data analysis, Data Solutions uncovers critical insights that inform strategic decisions, generates significant business value and identifies new opportunities for growth, and integrates with AI Solutions to ensure that business can leverage their data assets to achieve competitive advantages

                                                                          +

                                                                          +

                                                                          What will you do?

                                                                          +
                                                                            +
                                                                          • Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
                                                                          • +
                                                                          • Build data services to serve data to RBC Client and internal groups, and integrate with operational systems and AI solutions to enable data/AI driven process
                                                                          • +
                                                                          • Build data services with very high performance, scalability, and reliability.
                                                                          • +
                                                                          • Implement data security measures and best practices to ensure data privacy, integrity, and compliance with regulatory standards
                                                                          • +
                                                                          • Explore new capabilities and technologies to drive innovation.
                                                                          • +
                                                                          • Work closely with data scientists, analysts, software engineers, and other stakeholders to understand data requirements and deliver effective data solutions.
                                                                          • +
                                                                          • Communicate technical concepts to non-technical stakeholders.
                                                                          • +
                                                                          +

                                                                          +

                                                                          What do you need to succeed? Must-have

                                                                          +
                                                                            +
                                                                          • Bachelor’s degree in computer science, software engineering, or equivalent or; or diploma in related technical discipline
                                                                          • +
                                                                          • 3+ years’ experience in developing scalable applications using Java/Scala/Python; leveraging big data technologies (Hadoop, Spark, Kafka, ELK, etc) to build data products and services
                                                                          • +
                                                                          • 3+ years’ experience in building scalable, high performance, high availability applications
                                                                          • +
                                                                          • 3+ years’ experience of building data services in public cloud environments (Azure & AWS)
                                                                          • +
                                                                          • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others
                                                                          • +
                                                                          • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
                                                                          • +
                                                                          +

                                                                          +

                                                                          Nice-to-have

                                                                          +
                                                                            +
                                                                          • Experience deploying to and running applications on Kubernetes/Openshift
                                                                          • +
                                                                          • Experience of NoSQL stores (Elasticsearch, Redis, MongoDB, etc…)
                                                                          • +
                                                                          • Experience building or executing Machine Learning pipelines
                                                                          • +
                                                                          • Experience building operational APIs
                                                                          • +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                                                          • +
                                                                          • Leaders who support your development through coaching and managing opportunities
                                                                          • +
                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team
                                                                          • +
                                                                          • A world-class training program in financial services
                                                                          • +
                                                                          • Flexible work/life balance options
                                                                          • +
                                                                          • Opportunities to take on progressively greater accountabilities
                                                                          • +
                                                                          • Access to a variety of job opportunities across business and geographies
                                                                          • +
                                                                          +

                                                                          +

                                                                          #LI-HYBRID
                                                                          #LI-POST

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

                                                                          +

                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-09-11

                                                                          Application Deadline:

                                                                          2024-10-25

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          +
                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                                                          +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000098632/Staff-Data-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-16T19:15:38.604Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/342351965-staff-data-engineer-at-rbc,,expired,2024-09-16T12:12:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 86a01c99-aea5-4d51-a900-8186354932fe,342353632,Accenture,Data Management Consultant,on_site,"Toronto, ON, Canada",2024-09-16T12:37:02.337Z,"

                                                                          Job Description

                                                                          @@ -73059,6 +74579,110 @@ cc645ccb-89d8-46fc-9936-8ccf34538953,342351965,RBC,Staff Data Engineer,on_site,"
                                                                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00236505_en&title=Data%20Management%20Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2024-10-17T08:49:02.504Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/342353632-data-management-consultant-at-accenture,,expired,2024-09-16T12:37:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, +2954fe0b-77ca-46ae-8beb-489fb8dd27ee,341822247,OMERS,"Senior Data Analyst, Investment Finance & Valuations",on_site,"Ontario, Canada",2024-09-12T16:40:05.013Z,"
                                                                          +

                                                                          Choose a workplace that empowers your impact.

                                                                          +

                                                                          Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.

                                                                          +

                                                                          +

                                                                          We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.

                                                                          +

                                                                          +

                                                                          Join us to accelerate your growth & development, prioritize wellness, build connections, support the communities we live and work.

                                                                          +

                                                                          +

                                                                          Don’t just work anywhere — come build tomorrow together with us.

                                                                          +

                                                                          +

                                                                          Know someone at OMERS or Oxford Properties? Great! If you\'re referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

                                                                          +

                                                                          +

                                                                          +

                                                                          The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance & Valuations Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance & Valuations team. The role will lead various data analytics initiatives and deliver innovative solutions to Investment Finance & Valuations and partner divisions. To succeed in this role, the ideal individual needs strong attention to detail, have experience in leading data analysts, and have a proven ability to build relationships among the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.

                                                                          +

                                                                          +

                                                                          We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

                                                                          +

                                                                          +

                                                                          CORE RESPONSIBILITIES:

                                                                          +
                                                                            +
                                                                          • Design and develop comprehensive interactive dashboards and reporting leveraging Power BI or similar business intelligence tools

                                                                          • +
                                                                          • Work across functional areas and with business stakeholders to understand and identify data and reporting objectives to develop relevant capabilities

                                                                          • +
                                                                          • Integrate data from various sources to create a unified view for analysis, and utilize advanced statistical and machine learning techniques to analyze data and generate insights

                                                                          • +
                                                                          • Collaborate with data engineers to ensure the availability and quality of data for analysis

                                                                          • +
                                                                          • Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting

                                                                          • +
                                                                          • Effectively communicate complex analytical findings to non-technical stakeholders, and prepare and deliver comprehensive reports and presentations

                                                                          • +
                                                                          • Evaluate and recommend new tools and technologies for data analysis and be well acquainted with current industry trends and advancements in data analytics

                                                                          • +
                                                                          • Lead data-focused projects, collaborating with cross-functional teams to ensure successful project delivery

                                                                          • +
                                                                          • Develop and maintain comprehensive documentation of data sources, methodologies, transformation processes, business rules, and user guides

                                                                          • +
                                                                          • Contribute to the development and implementation of data governance policies and procedures

                                                                          • +
                                                                          • Lead and mentor the Data Analysts, and provide guidance on best practices, methodologies, and tools for data analysis, as well as training a support for the team

                                                                          • +
                                                                          +

                                                                          +

                                                                          QUALIFICATIONS:

                                                                          +
                                                                            +
                                                                          • 5+ years of proven experience as a data analyst in a financial management and investment support environment

                                                                          • +
                                                                          • Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Science, or a similar discipline

                                                                          • +
                                                                          • Relevant certifications such as Microsoft Certified Data Analyst Associate, Certified Analytics Professional (CAP), or similar are considered an asset

                                                                          • +
                                                                          • Advanced proficiency with PowerBI and other data visualization tools

                                                                          • +
                                                                          • Strong proficiency in data analysis tools, such as Alteryx, Python, R, or similar

                                                                          • +
                                                                          • Strong SQL skills for data extraction and management, and familiarity with Azure technologies

                                                                          • +
                                                                          • Strong knowledge of statistical methods and data visualization techniques

                                                                          • +
                                                                          • Familiarity with machine learning algorithms and techniques and experience implementing predictive models

                                                                          • +
                                                                          • Strong attention to detail and accuracy, with the ability to identify and solve data errors within a data governance framework

                                                                          • +
                                                                          • Excellent communication and presentation skills (written and verbal) to effectively convey complex findings and technical concepts to non-technical stakeholders

                                                                          • +
                                                                          • Demonstrated ability to lead and mentor a team, with strong project management skills

                                                                          • +
                                                                          • Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities we live and work — and the members we proudly serve.

                                                                          +

                                                                          +

                                                                          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                                                          +
                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Senior-Data-Analyst--Investment-Finance---Valuations_JR-6536?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-16T19:33:46.880Z,False,0,7,43,https://talenthub.vectorinstitute.ai/jobs/341822247-senior-data-analyst-investment-finance-valuations-at-omers,,expired,2024-09-12T16:40:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +891b4fff-ac71-4bbb-906c-9f2175de9fa0,341822239,TELUS,Manager - Artificial Intelligence,on_site,"Ontario, Canada",2024-09-12T16:40:03.480Z,"
                                                                          +
                                                                          +

                                                                          Join our team and what we\'ll accomplish together

                                                                          +
                                                                          +

                                                                          +

                                                                          The Data Strategy & Enablement (DSE) team is on a continuous journey towards helping TELUS become a world-class leader in Artificial Intelligence products and solutions. We achieve this by delivering ML and data analytics capabilities built upon unified scalable platforms, advanced tooling, high-quality data, and fostering a product and platform-oriented culture. We are always keeping an eye on the horizon, preparing for the next big thing.

                                                                          +


                                                                          Our team members appreciate diversity of thinking, ideas, and experiences, and are always learning, experimenting, and applying new insights into everything we do. The AI Accelerator team, within DSE, plays a central role in harnessing the full potential of AI across the company. From service analytics, geo analytics, financial and behavioral analytics, we act as transformation consultants to help our business unit partners create exponential value through an insight-by-design approach.

                                                                          +


                                                                          A key focus of this role will be to collaborate across business units to ideate, define, and champion opportunities to apply AI insights that drive improved decision-making and stronger business outcomes. As a Manager of Artificial Intelligence, you will lead a team of data experts (Machine Learning Engineers, Data Engineers, Data Scientists, and Data Analysts) to drive solutions in collaboration with our marketing, engineering, sales, business solutions, security, privacy teams, and TELUS-wide AI-focused teams. You will build on our existing strengths in privacy, analytics, strategy, and architecture.

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What you\'ll do

                                                                          +
                                                                          +

                                                                          +
                                                                            +
                                                                          • Lead and Inspire: Manage and motivate a team of AI experts, inspiring them to act as intrapreneurs who identify opportunities, take calculated risks, and own the results and impact of their work
                                                                          • +
                                                                          • Strategic Implementation: Drive the development and execution of AI strategies that align with TELUS\' business objectives, ensuring transformative and disruptive technologies are implemented at scale
                                                                          • +
                                                                          • Stakeholder Engagement: Communicate complex technical problems and AI-driven insights to non-technical audiences to unlock new business needs and drive decision-making
                                                                          • +
                                                                          • Motivate and Retain Talent: Cultivate a motivating environment where team members feel valued and encouraged to pursue continuous learning and innovation in a fast-changing technological landscape
                                                                          • +
                                                                          • Change Management: Facilitate organizational change by operationalizing AI insights and managing transformations through effective change management practices
                                                                          • +
                                                                          • Engineering Excellence: Spearhead the development and implementation of robust, scalable, and efficient AI solutions. Ensure adherence to best practices in software engineering, data management, and model deployment
                                                                          • +
                                                                          • Empowerment & Optimization: Help team members to resolve complex technical, process, and business roadblocks. Dynamically prioritize the team’s work to maximize measurable business outcomes, managing delivery lifecycles and business models efficiently
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What you bring

                                                                          +
                                                                          +

                                                                          +
                                                                            +
                                                                          • AI Expertise: Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                                                                          • +
                                                                          • Business Development: Experience developing new strategies and identifying business opportunities that result in efficiencies and financial outcomes.
                                                                          • +
                                                                          • Team Leadership: 3+ years of experience in a role guiding and influencing people. Excellent communicator with a track record of building strong relationships, driving a culture of high engagement, and delivering outstanding program results.
                                                                          • +
                                                                          • Business & Financial Acumen: Ability to own the overall financial strategy around people, processes, and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                                                                          • +
                                                                          • Impactful communication: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                                                                          • +
                                                                          • Process Automation Know-How: Strong analytics, digitization, and process automation knowledge.
                                                                          • +
                                                                          • Bachelor’s or Master’s degree in Engineering, Data Science, Computer Science, or related fields.
                                                                          • +
                                                                          +


                                                                          Great-to-Haves

                                                                          +

                                                                          +
                                                                            +
                                                                          • MBA (Master in Business Administration)
                                                                          • +
                                                                          • Master of Engineering, Artificial Intelligence, Computer Science, or related fields
                                                                          • +
                                                                          • Deep understanding of cloud computing environments and associated analytics opportunities and challenges
                                                                          • +
                                                                          • +Strong knowledge of industry pressures in the telecommunications industry
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          ",,https://careers.telus.com/job/Toronto-Manager-Artificial-Intelligence-ON/582360017/,feed-importer@jobboard.io,,,,2024-10-16T19:35:04.519Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/341822239-manager-artificial-intelligence-at-telus,,expired,2024-09-12T16:40:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, ea26c350-6792-4966-9382-55ab37fb344e,342398212,integrate.ai,Head of Product,full,"Toronto, ON, Canada",2024-09-17T02:09:37.836Z,"

                                                                          At Integrate.ai, we help data and analytics providers easily and safely collaborate with enterprise data science teams. Powered by Federated Learning technology, integrate.ai removes the most prevalent problems associated with data collaboration because data never moves. At the core is a flexible and robust platform that supports a variety of analytics and machine learning workloads across data silos and environments, leveraging a range of privacy enhancing technologies. It also incorporates pre-packaged tools and configurations to support specific use cases. Integrate.ai has worked across many industries from healthcare to financial services, with the current focus on the insurance data ecosystem.

                                                                          We are hiring a Head of Product to lead our Product & Design team. If you are a product leader with a track record of leading strong product teams, has deep knowledge of the enterprise data ecosystem and has successfully led data-centric products to commercial success, this is a unique opportunity to drive outsized impact in an ambitious, high performing startup.

                                                                          This is an opportunity to lead a Product Team that is working alongside our Research & ML Teams to break new ground in federated learning (covering a broad range of ML model types), automated data relevancy evaluation, and privacy enhancing technologies. Our Federated Data Science Platform is used across several industries and we work with some of the most innovative organizations to bring their otherwise unused data to light in a way that’s privacy-safe.

                                                                          @@ -73276,6 +74900,67 @@ Drafting Transaction Risk Reports that are submitted to the Oxford Investment Co

                                                                          From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

                                                                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Ontario/Analyst-Associate--Investment-Risk_JR-6560?q=analytics+ontario,feed-importer@jobboard.io,,,,2024-10-19T15:27:46.680Z,False,0,15,104,https://talenthub.vectorinstitute.ai/jobs/342711820-analyst-associate-investment-risk-at-omers,,expired,2024-09-19T12:47:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d25bed75-65ea-4bbf-8082-90d9e84be20d,343703195,Scotiabank,"Senior Manager, Strategic Analytics (Insurance Canada)",on_site,Canada : Ontario : Toronto,2024-09-26T16:30:02.454Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 207397

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          As the Senior Manager, Strategic Analytics, you will contribute to the overall success of the Insurance Canada business, responsible for leading the analytics efforts supporting growth initiatives aimed at deepening customer engagement, customer insight and increasing the relevance of Insurance in driving sales. You will also help maximize growth and retention of the Insurance customer base through performing strategic analysis and delivery of insightful customer reporting.

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +
                                                                          • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

                                                                          • Oversee the execution of all projects covering Creditor and D2C growth initiatives, including involvement in all project stages from intake, prioritization, tracking and presentations to stakeholders and senior executives

                                                                          • Lead development of a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers and manage channel preference and risk.

                                                                          • Support Planning and Forecasting for Insurance Canada

                                                                          • Develop customer analytics, customer-level reporting and dashboards with single view of customer to provide timely and accurate customer insights to key internal stakeholders

                                                                          • Support with the auditing and troubleshooting data problems as needed

                                                                          • Interpret marketing and customer data to identify new opportunities on how to best target and appeal to customers

                                                                          • Deliver timely, high quality initiatives supporting growth strategy, while actively contributing to the overall growth strategy with Product and Marketing teams

                                                                          • Provide data discovery and deliver key actionable insights based on customer view of results

                                                                          • Synthesize data to identify trends and deliver key insights and business recommendations

                                                                          • Partner with key internal stakeholders, including Marketing, Merchandizing and Operations teams, to provide strategic insights and recommendations

                                                                          • Support key information technology initiatives, such as enhancements in single view of customer

                                                                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                          • Champion a high performance environment and contribute to an inclusive work environment

                                                                          • +
                                                                          +

                                                                          +

                                                                          Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                          +

                                                                          +
                                                                          • Post-secondary education focused in Actuarial Science, Computer Science, Finance or Statistics; MBA in Finance or Marketing preferred

                                                                          • Several years of experience in programming, analytics, reporting and/or data warehousing

                                                                          • Experience developing customer propensity models, AI/ML

                                                                          • Intermediate experience in Unix, Mainframe, SQL, SAS, Hadoop, Python or SAS and other tools to produce data sets, analyses, tabulations, graphics

                                                                          • Strong working knowledge of Power BI, Tableau

                                                                          • Strong knowledge and proficiency with building models

                                                                          • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills

                                                                          • Excel programming and Microsoft Access skills including queries, forms, reports and macros

                                                                          • The ability to apply advanced analytical and statistical techniques to solve business questions

                                                                          • The ability to manage multiple projects spanning across various systems, regulatory bodies and special requirements

                                                                          • Previous experience supporting Retail Banking / Insurance Products teams is highly desirable

                                                                          • +
                                                                          +

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Analytics-%28Insurance-Canada%29-ON-M5H1H1/584944217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/343703195-senior-manager-strategic-analytics-insurance-canada-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Analytics-%28Insurance-Canada%29-ON-M5H1H1/584944217/,expired,2024-09-26T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +5b50f073-a06a-4a42-90e2-388b55ff460c,345423478,Scotiabank,GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.976Z,"

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Requisition ID: 206540

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          +

                                                                          GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025

                                                                          +

                                                                          +

                                                                          Term: January – April 2025

                                                                          +

                                                                          Location: 40 Temperance Street, Toronto

                                                                          +

                                                                          +

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          +

                                                                          +

                                                                          As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                                          +

                                                                          +

                                                                          Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                                          +

                                                                          +

                                                                          Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                                                          +

                                                                          +

                                                                          Is this role right for you? In this role, you will:

                                                                          +
                                                                          • Assist the development and testing of cutting-edge derivatives pricing models
                                                                          • Build quantitative tools for trading and structuring desks
                                                                          • Build and maintain infrastructure processes for new business lines
                                                                          • Ad hoc investigations for trading and marketing desks
                                                                          • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                                          • Provide support to the trading and sales desks
                                                                          • +
                                                                          +

                                                                          +

                                                                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                          +
                                                                          • You are currently enrolled in post-secondary education.
                                                                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                          • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                                                          • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                                                          • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                                                          • You have strong analytic and problem-solving skills.
                                                                          • You have strong interpersonal skills, results oriented and a team player.
                                                                          • You are able to work well in a fast-paced environment with changing priorities.
                                                                          • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                                                          • +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +
                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                          • +
                                                                          +

                                                                          This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                                          +

                                                                          +

                                                                          How do I apply?

                                                                          +

                                                                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                          +

                                                                          +
                                                                          1. Complete your PLUM Profile here and save as a screenshot.
                                                                          2. Complete a short one-way video interview here.
                                                                          3. Complete a Codility assessment here.
                                                                          4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript
                                                                          5. +
                                                                          +

                                                                          +

                                                                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          +

                                                                          +

                                                                          +

                                                                          +

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/345423478-gbm-gafe-financial-engineering-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,expired,2024-10-07T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, 2c1fbaab-be89-461c-8421-d62b3442eb28,345762482,Roche,Analytics and Insights Manager - Oncology,on_site,"Ontario, Canada",2024-10-10T08:58:03.261Z,"

                                                                          Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

                                                                          @@ -73336,64 +75021,378 @@ Drafting Transaction Risk Reports that are submitted to the Oxford Investment Co

                                                                          Roche is an Equal Opportunity Employer.

                                                                          ",,https://careers.roche.com/global/en/job/202410-125432/Analytics-and-Insights-Manager-Oncology,feed-importer@jobboard.io,,,,2024-10-21T09:03:05.094Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/345762482-analytics-and-insights-manager-oncology-at-roche,,expired,2024-10-10T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Manager,Bachelors Degree,New Posting, -d25bed75-65ea-4bbf-8082-90d9e84be20d,343703195,Scotiabank,"Senior Manager, Strategic Analytics (Insurance Canada)",on_site,Canada : Ontario : Toronto,2024-09-26T16:30:02.454Z,"

                                                                          -

                                                                          -

                                                                          -

                                                                          -

                                                                          Requisition ID: 207397

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          -

                                                                          -

                                                                          As the Senior Manager, Strategic Analytics, you will contribute to the overall success of the Insurance Canada business, responsible for leading the analytics efforts supporting growth initiatives aimed at deepening customer engagement, customer insight and increasing the relevance of Insurance in driving sales. You will also help maximize growth and retention of the Insurance customer base through performing strategic analysis and delivery of insightful customer reporting.

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -
                                                                          • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

                                                                          • Oversee the execution of all projects covering Creditor and D2C growth initiatives, including involvement in all project stages from intake, prioritization, tracking and presentations to stakeholders and senior executives

                                                                          • Lead development of a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers and manage channel preference and risk.

                                                                          • Support Planning and Forecasting for Insurance Canada

                                                                          • Develop customer analytics, customer-level reporting and dashboards with single view of customer to provide timely and accurate customer insights to key internal stakeholders

                                                                          • Support with the auditing and troubleshooting data problems as needed

                                                                          • Interpret marketing and customer data to identify new opportunities on how to best target and appeal to customers

                                                                          • Deliver timely, high quality initiatives supporting growth strategy, while actively contributing to the overall growth strategy with Product and Marketing teams

                                                                          • Provide data discovery and deliver key actionable insights based on customer view of results

                                                                          • Synthesize data to identify trends and deliver key insights and business recommendations

                                                                          • Partner with key internal stakeholders, including Marketing, Merchandizing and Operations teams, to provide strategic insights and recommendations

                                                                          • Support key information technology initiatives, such as enhancements in single view of customer

                                                                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

                                                                          • Champion a high performance environment and contribute to an inclusive work environment

                                                                          • -
                                                                          -

                                                                          -

                                                                          Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                                                          -

                                                                          -
                                                                          • Post-secondary education focused in Actuarial Science, Computer Science, Finance or Statistics; MBA in Finance or Marketing preferred

                                                                          • Several years of experience in programming, analytics, reporting and/or data warehousing

                                                                          • Experience developing customer propensity models, AI/ML

                                                                          • Intermediate experience in Unix, Mainframe, SQL, SAS, Hadoop, Python or SAS and other tools to produce data sets, analyses, tabulations, graphics

                                                                          • Strong working knowledge of Power BI, Tableau

                                                                          • Strong knowledge and proficiency with building models

                                                                          • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills

                                                                          • Excel programming and Microsoft Access skills including queries, forms, reports and macros

                                                                          • The ability to apply advanced analytical and statistical techniques to solve business questions

                                                                          • The ability to manage multiple projects spanning across various systems, regulatory bodies and special requirements

                                                                          • Previous experience supporting Retail Banking / Insurance Products teams is highly desirable

                                                                          • -
                                                                          -

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Analytics-%28Insurance-Canada%29-ON-M5H1H1/584944217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/343703195-senior-manager-strategic-analytics-insurance-canada-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Analytics-%28Insurance-Canada%29-ON-M5H1H1/584944217/,expired,2024-09-26T16:30:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -5b50f073-a06a-4a42-90e2-388b55ff460c,345423478,Scotiabank,GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025,on_site,Canada : Ontario : Toronto,2024-10-07T16:31:08.976Z,"

                                                                          +a11abb0e-7829-4a92-8c4d-8908cda2e2c2,342896289,Deloitte,"Manager/Senior Manager, AI Governance, Risk and Data",on_site,"Ontario, Canada",2024-09-20T16:35:02.040Z,"

                                                                          +

                                                                          Job Type: Permanent
                                                                          Work Model:
                                                                          Hybrid
                                                                          Reference code:
                                                                          126325
                                                                          Primary Location:
                                                                          Toronto, ON
                                                                          All Available Locations:
                                                                          Toronto, ON

                                                                          +
                                                                          +

                                                                          +

                                                                          Our Purpose

                                                                          +

                                                                          At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                          +

                                                                          By living our Purpose, we will make an impact that matters.

                                                                          +
                                                                          • Have many careers in one Firm.
                                                                          • Partner with clients to solve their most complex problems
                                                                          • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          --

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What will your typical day look like?

                                                                          +
                                                                          +

                                                                          Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Consultant or Senior Consultant who will help deliver on our ambitious plans to grow our practice.

                                                                          +

                                                                          We are seeking an experienced professional with an experience in Data and AI, with a strong focus on responsible AI, data & AI risk management, and regulatory compliance. The ideal candidate will have a proven track record of generating and managing a portfolio of AI enablement services. This role includes developing and nurturing client relationships, leading project teams, coaching and mentoring professionals, and maintaining a continuous focus on personal and professional growth. The role will have full life-cycle responsibility over Responsible AI, strategy, and AI Risk, including identifying opportunities, proposal development, project delivery, team leadership, and ensuring the quality of project deliverables.

                                                                          -

                                                                          Requisition ID: 206540

                                                                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                                                          +

                                                                          The successful candidate will have responsibility to:

                                                                          +
                                                                          • Develop and execute comprehensive AI strategies that align with clients' goals, mission, and vision. Embed risk management frameworks into the AI lifecycle to ensure compliance with regulatory requirements.
                                                                          • Support our clients to grow responsibly through the use of applied data and analytics.
                                                                          • Contribute to the development of thought leadership in the field of responsible AI, data & AI risk management, and regulatory compliance. Support the industry leadership in growing our AI governance and risk analytics business.
                                                                          • Stay abreast of industry trends, technology innovations, and AI regulatory requirements. Ensure all AI solutions comply with relevant laws and regulations.
                                                                          • Support the establishment of a repeatable analytical models and approaches for clients.
                                                                          • Identify opportunities for new business, develop proposals, and assist in pursuit efforts to secure new engagements. Work with other Deloitte functions to further the use of data & analytics in go to market activities.
                                                                          • Coach and mentor team members, fostering a culture of continuous learning and professional growth. Provide guidance and support to help team members in delivery and achieve their career goals.
                                                                          • Ensure the highest levels of quality in project deliverables, maintaining the standards expected of a leading professional services firm.
                                                                          • Have a clear understanding of the firm's commitment to creating a more inclusive culture.
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          About the team

                                                                          +

                                                                          We are the one of the largest Risk Advisory practices in Canada. Our Data and Analytics team is a key capability within Risk Advisory. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

                                                                          +
                                                                          +
                                                                          +

                                                                          Enough about us, let’s talk about you

                                                                          +
                                                                          +

                                                                          In this role, the expected qualifications are:

                                                                          +
                                                                          • Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Data Science, or Machine Learning.
                                                                          • Minimum 6 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships, people and management skills.
                                                                          • Minimum 6 years (Manager) / 8 years (Senior Manager) of professional experience in data and AI, with a primary focus on responsible AI, data & AI risk management, and regulatory compliance.
                                                                          • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
                                                                          • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail.
                                                                          • Structured problem solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions.
                                                                          • Proven experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications.
                                                                          • Strong data science and/or data engineering experience. Strong knowledge of AI technologies and frameworks.
                                                                          • Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
                                                                          • Team player with the ability to work in a hybrid model (on-site and remote).
                                                                          • +
                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Total Rewards

                                                                          +


                                                                          The salary range for this position is $97,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          +
                                                                          +

                                                                          -

                                                                          GBM - GAFE Financial Engineering Internship/Co-op - Winter 2025

                                                                          +

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          -

                                                                          Term: January – April 2025

                                                                          -

                                                                          Location: 40 Temperance Street, Toronto

                                                                          -

                                                                          -

                                                                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                                                          +

                                                                          Be yourself, and more.

                                                                          +

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          +

                                                                          You shape how we make impact.

                                                                          +

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          +

                                                                          Be the leader you want to be

                                                                          +

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          +

                                                                          Have as many careers as you want.

                                                                          +

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          -

                                                                          As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological, or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                                                                          +

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          +

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          +

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          +

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AI-Governance%2C-Risk-and-Data-ON/1175252600/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:02:39.930Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/342896289-manager-senior-manager-ai-governance-risk-and-data-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-AI-Governance%2C-Risk-and-Data-ON/1175252600/,expired,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +4a9a1d19-f7ac-4b80-bfc8-ed980c2da446,342896292,Deloitte,"Manager/Senior Manager, Data and Analytics - Risk and Regulatory",on_site,"Ontario, Canada",2024-09-20T16:35:02.261Z,"

                                                                          +

                                                                          Job Type: Permanent
                                                                          Work Model:
                                                                          Hybrid
                                                                          Reference code:
                                                                          126337
                                                                          Primary Location:
                                                                          Toronto, ON
                                                                          All Available Locations:
                                                                          Toronto, ON; Calgary, AB; Montreal, QC; Vancouver, BC

                                                                          +

                                                                          -

                                                                          Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                                                                          +

                                                                          Our Purpose

                                                                          -

                                                                          Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers, and analysts to learn from their experiences.

                                                                          -

                                                                          -

                                                                          Is this role right for you? In this role, you will:

                                                                          -
                                                                          • Assist the development and testing of cutting-edge derivatives pricing models
                                                                          • Build quantitative tools for trading and structuring desks
                                                                          • Build and maintain infrastructure processes for new business lines
                                                                          • Ad hoc investigations for trading and marketing desks
                                                                          • Conduct Mark-to-Market impact and sensitivity analysis for different models
                                                                          • Provide support to the trading and sales desks
                                                                          • +

                                                                            At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                                                                            +

                                                                            By living our Purpose, we will make an impact that matters.

                                                                            +
                                                                            • Have many careers in one Firm.
                                                                            • Partner with clients to solve their most complex problems
                                                                            • Experience a firm where wellness matters.
                                                                            -

                                                                            -

                                                                            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                                                            -
                                                                            • You are currently enrolled in post-secondary education.
                                                                            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                                                            • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                                                                            • You have solid C++ programming skills. Knowledge of Java, Python, Shell scripts, or Excel is a plus.
                                                                            • You have good math skills, knowledge of numerical methods and derivatives products a plus.
                                                                            • You have strong analytic and problem-solving skills.
                                                                            • You have strong interpersonal skills, results oriented and a team player.
                                                                            • You are able to work well in a fast-paced environment with changing priorities.
                                                                            • You are currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                                                                            • +
                                                                          +
                                                                          +
                                                                          +

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What will your typical day look like?

                                                                          +
                                                                          +

                                                                          Our mission is to use data and analytics to deliver value for our clients. Our team understands exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. We also help clients manage the new risks and safely leverage artificial intelligence and machine learning. For this role, we are seeking Manager and Senior Manager level team members who will help deliver on our ambitious plans to grow our practice by providing leadership and technical / domain expertise.

                                                                          +

                                                                          +

                                                                          As a Manager or Senior Manager, you will be leading engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver and run the future - transforming complex business problems and requirements into practical, implementable solutions. You will grow and mentor junior team members, and contribute to sales.

                                                                          +

                                                                          +

                                                                          We combine our people's skills and experience, with Deloitte tools and solutions, across four focus capability areas across the end-to-end Risk Spectrum.
                                                                          • Risk Data Strategy & Architecture
                                                                          • Risk Data Modelling & Engineering
                                                                          • Risk Data Analytics, Reporting & Insights
                                                                          • Risk Data Governance & Management

                                                                          +

                                                                          +

                                                                          The successful candidate will have responsibility to:
                                                                          • Support our clients to grow responsibly through the use of applied data and analytics.
                                                                          • Support the industry leadership in growing our risk analytics business.
                                                                          • Support the establishment of a repeatable analytical models and approaches for clients.
                                                                          • Work with other Deloitte functions to further the use of data & analytics in go to market activities.
                                                                          • Manage and support team members in the delivery of work
                                                                          • Build strong relationships with key Deloitte team members and clients.
                                                                          • Enhance the value of our deliverables and the insights provided by our work.
                                                                          • Support in reviews of data and date use for regulatory compliance and process and control effectiveness
                                                                          • Work with existing clients to design and develop programs for data and analytics.
                                                                          • Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
                                                                          • Have a clear understanding of the firm's commitment to creating a more inclusive culture.

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          About the team

                                                                          +

                                                                          We are the one of the largest Risk and Regulatory practices in Canada. Our Data and Analytics team is a key capability within the practice. We are a growing team with initiatives across multiple industries and use cases. We support organizations with all aspects of data and analytics related to risk management. We aim to bring recognized value to each engagement; be it setting up a program to deliver on long term strategic objectives or solutioning for tactical needs under demanding timelines. We have extensive experience that we draw upon daily and are always looking to the future and innovative solutions and opportunities.

                                                                          +
                                                                          +
                                                                          +

                                                                          Enough about us, let’s talk about you

                                                                          +

                                                                          In this role, the expected qualifications are:

                                                                          • Exceptional planning, organization, project and people management skills.
                                                                          • Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
                                                                          • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing, strengthening, and broadening key client relationships.
                                                                          • Minimum 5 years (Manager) / 8 years (Senior Manager) of experience of managing and leading team delivery
                                                                          • Experience in Financial Services Industry in a consulting or industry capacity
                                                                          • Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
                                                                          • Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
                                                                          • Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
                                                                          • Experience in working with analytical, visualization and data engineering capabilities
                                                                          • Experience in working with cloud capabilities is an asset
                                                                          • Ability to own and drive initiatives in many different and challenging environments.
                                                                          • Ability to understand client needs and deliver value through proven and innovative approaches.
                                                                          • Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
                                                                          • Ability to work in a fast paced and demanding environment, both independently and in a team setting
                                                                          • Ability to establish priorities and meet challenging deadlines
                                                                          • Curiosity and comfortability with ambiguity
                                                                          • Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
                                                                          • Willingness/flexibility of traveling to client locations, as required

                                                                          +
                                                                          +
                                                                          +

                                                                          Total Rewards

                                                                          +


                                                                          The salary ranges for these roles depend on level and are between $84,000 - $231,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

                                                                          Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as ""Deloitte Days""), flexible work arrangements and a hybrid work structure.

                                                                          +
                                                                          +
                                                                          +

                                                                          +

                                                                          Our promise to our people: Deloitte is where potential comes to life.

                                                                          +

                                                                          +

                                                                          Be yourself, and more.

                                                                          +

                                                                          We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

                                                                          +

                                                                          You shape how we make impact.

                                                                          +

                                                                          Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

                                                                          +

                                                                          Be the leader you want to be

                                                                          +

                                                                          Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

                                                                          +

                                                                          Have as many careers as you want.

                                                                          +

                                                                          We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

                                                                          The next step is yours

                                                                          +

                                                                          +

                                                                          At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                                                                          +

                                                                          We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

                                                                          +

                                                                          By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
                                                                          Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                                                                          +

                                                                          ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,info@deloitte.com,https://careers.deloitte.ca/,,,2024-10-23T17:05:30.220Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/342896292-manager-senior-manager-data-and-analytics-risk-and-regulatory-at-deloitte,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-ManagerSenior-Manager%2C-Data-and-Analytics-Risk-and-Regulatory-ON/1166227500/,expired,2024-09-20T16:35:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +21d4c6e5-077b-47c8-ad26-c36c93c6c54e,343277470,TELUS,Senior Data Analyst,on_site,"Ontario, Canada",2024-09-23T08:58:01.901Z,"
                                                                          +
                                                                          +

                                                                          Join our team and what we\'ll accomplish together

                                                                          +
                                                                          +

                                                                          +

                                                                          The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                                                          +

                                                                          +

                                                                          We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                                                                          +

                                                                          +

                                                                          Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                                                          +

                                                                          +

                                                                          You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                                                                          +

                                                                          +

                                                                          As a Senior Data Analyst on the team, you will combine your expert knowledge of data analytics and visualization with business acumen to create reporting tools to facilitate data exploration, analytics, to enable data-driven decision making for business stakeholders.

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What you\'ll do

                                                                          +
                                                                          +

                                                                          +
                                                                            +
                                                                          • Tackle complex data analysis challenges, working with big data to uncover key insights that drive business outcomes.
                                                                          • +
                                                                          • Write SQL code involving multiple tables and aggregations, ensuring optimal query performance.
                                                                          • +
                                                                          • Design and develop robust data models that effectively organize and structure data to support complex queries, reporting, and analytics. Ensure models are scalable, maintainable, and aligned with business requirements.
                                                                          • +
                                                                          • Lead the development of visually compelling, interactive dashboards and reports using tools like Looker, DOMO, and Tableau. Transform raw data into easy-to-understand insights that directly impact decision-making. Create user-friendly data visualizations that communicate complex information effectively to a diverse audience, from executives to operational teams.
                                                                          • +
                                                                          • Engineer end-to-end data solutions primarily on GCP services like BigQuery, GCS, Cloud Composer, and Looker, ensuring seamless integration and performance.
                                                                          • +
                                                                          • Engage with various business stakeholders to gather requirements, develop dashboards and reports, and ensure the delivery of actionable insights.
                                                                          • +
                                                                          • Lead a team of developers towards the implementation of operational and partnership dashboards using Looker, to help the leadership make informed data-driven decisions

                                                                          -

                                                                          What’s in it for you?

                                                                          -
                                                                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                                                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                                                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                                                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                                                          • +

                                                                            +
                                                                          +
                                                                          +
                                                                          +

                                                                          What you bring

                                                                          +
                                                                          +

                                                                          +
                                                                            +
                                                                          • 6+ years in roles such as Data Analyst, Business Intelligence Analyst, Data Engineer, or similar, with a strong focus on SQL and data modeling
                                                                          • +
                                                                          • Expertise in creating and managing interactive dashboards and reports using leading BI tools such as Looker, DOMO, and Tableau. Ability to transform data into actionable insights for business stakeholders
                                                                          • +
                                                                          • Strong experience with relational database systems, particularly BigQuery, Oracle, and SQL Server. Demonstrated ability to write complex SQL queries and optimize database performance
                                                                          • +
                                                                          • Strong ability to identify requirements and build reporting solutions in collaboration with stakeholders
                                                                          • +
                                                                          • Exceptional attention to detail, with the ability to prioritize, multi-task, and meet tight deadlines in a fast-paced environment
                                                                          • +
                                                                          • Proven track record of driving data-based decisions in a consultative style with executive and senior management stakeholders
                                                                          • +
                                                                          +


                                                                          Great-to-haves

                                                                          +

                                                                          +
                                                                            +
                                                                          • Post-secondary degree in Computer Science, Engineering, or a related field
                                                                          • +
                                                                          • 5 years of experience in the telecom industry
                                                                          • +
                                                                          • Certifications in Data Engineering or Business Intelligence technologies
                                                                          -

                                                                          This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                                                                          -

                                                                          -

                                                                          How do I apply?

                                                                          -

                                                                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                                                          -

                                                                          -
                                                                          1. Complete your PLUM Profile here and save as a screenshot.
                                                                          2. Complete a short one-way video interview here.
                                                                          3. Complete a Codility assessment here.
                                                                          4. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and the most recent version of your transcript
                                                                          5. -

                                                                          -

                                                                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                                                          -

                                                                          -

                                                                          -

                                                                          Location(s): Canada : Ontario : Toronto

                                                                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                                                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                                                          Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

                                                                          ",,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2024-10-21T16:36:05.200Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/345423478-gbm-gafe-financial-engineering-internship-co-op-winter-2025-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-GBM-GAFE-Financial-Engineering-InternshipCo-op-Winter-2025-ON/584340317/,expired,2024-10-07T16:31:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +
                                                                          +
                                                                          +
                                                                          ",,https://careers.telus.com/job/Toronto-Senior-Data-Analyst-ON-M5J-2V5/584577917/,feed-importer@jobboard.io,,,,2024-10-23T17:29:47.029Z,False,0,10,70,https://talenthub.vectorinstitute.ai/jobs/343277470-senior-data-analyst-at-telus,,expired,2024-09-23T08:58:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +1a3e923e-f822-4d8f-a132-bd213da64fe8,343307867,Magna International,Senior Data Scientist,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2024-09-23T16:41:02.184Z,"
                                                                          +
                                                                          +

                                                                          About the Role

                                                                          +

                                                                          The Senior Data Scientist will be a key member of the data analytics team. In this role, you will use your expertise to solve data related challenges in manufacturing operations and vehicle data analysis. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                                                                          +
                                                                          +
                                                                          +

                                                                          Your Responsibilities

                                                                          +
                                                                          +

                                                                          · Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.

                                                                          +

                                                                          · Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.

                                                                          +

                                                                          · Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.

                                                                          +

                                                                          · Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.

                                                                          +

                                                                          · Leverage internal and external expertise as required.

                                                                          +

                                                                          · Regularly interface with senior management to provide project updates.

                                                                          +

                                                                          · Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Who we are looking for

                                                                          +
                                                                          +

                                                                          · Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or a closely related education with 7+ years of experience in industry with a focus on data analytics and/or computer vision.

                                                                          +

                                                                          · Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science, or a closely related education with 10+ years of experience in industry with a focus on data analytics and/or computer vision.

                                                                          +

                                                                          · PhD preferred

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Your preferred qualifications

                                                                          +
                                                                          +

                                                                          · Experience with a wide variety of ML and AI techniques and algorithms

                                                                          +

                                                                          · Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation

                                                                          +

                                                                          · Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda

                                                                          +

                                                                          · Knowledge of C++

                                                                          +

                                                                          · Experience with agile project management and related tools such as Confluence and JIRA

                                                                          +

                                                                          · Experience with cloud-based tools by Microsoft, AWS, Databricks

                                                                          +

                                                                          · Analytic tools and languages for statistical and machine learning models, especially Python

                                                                          +

                                                                          · Deep Learning frameworks and tools such as TensorFlow

                                                                          +

                                                                          · Data management using PySpark and SQL

                                                                          +

                                                                          · DevOps – GIT, Docker, CI/CD

                                                                          +

                                                                          +

                                                                          Accommodations for disabilities in relation to the job selection process are available upon request.

                                                                          +

                                                                          Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          What we offer

                                                                          +

                                                                          At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

                                                                          +
                                                                          +
                                                                          +

                                                                          Site Benefits

                                                                          +
                                                                          +
                                                                          +
                                                                          +

                                                                          Awareness. Unity. Empowerment.

                                                                          +

                                                                          At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                                                          +
                                                                          +
                                                                          ",,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/584801117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2024-10-23T17:53:18.462Z,False,0,16,71,https://talenthub.vectorinstitute.ai/jobs/343307867-senior-data-scientist-at-magna-international,https://jobs.magna.com/job/Aurora-Senior-Data-Scientist-ONTA-L4G-0G9/584801117/,expired,2024-09-23T16:41:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, +29330231-38f8-4351-9ea5-b6f2598a93ab,346633830,RBC,"Senior Big Data Developer, GFT",on_site,"Toronto, ON, Canada",2024-10-17T08:20:02.486Z,"
                                                                          +

                                                                          Job Summary

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Description

                                                                          +

                                                                          What Is The Opportunity?

                                                                          +

                                                                          Individual will work as a Senior Big data Developer with Capital Risk Measurement Team, delivering services to implement technical and business needs, and working closely with various partners across IT and business. We are looking for a curios full stack developer/leads with a passion for problem solving and have proven track records of successful deliveries building complex systems.

                                                                          +

                                                                          +

                                                                          What Will You Do?

                                                                          +
                                                                            +
                                                                          • You will have hands on experience in designing and developing complex data intensive systems using cloud & Big data technologies.

                                                                          • +
                                                                          • Accountable for all phases of the development process – analysis, design, development, testing, and implementation in agile development lifecycles.

                                                                          • +
                                                                          • Proactively seek out knowledge about new technologies and how they can be used to solve current and foreseeable challenges.

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                                                                          +

                                                                          +

                                                                          What Do You Need To Succeed?

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                                                                          Must have

                                                                          +
                                                                            +
                                                                          • Extensive experience in working with Big Data Technologies (Spark, Hadoop, Hive, Java & Scala) and ETL development competencies.

                                                                          • +
                                                                          • Solid understanding of the Big Data architecture and the ability to troubleshoot development / Performance issues on Hadoop (Cloudera preferably)

                                                                          • +
                                                                          • Experience and knowledge with Java, J2EE, Spring / REST / Microservices, Linux and NoSQL/SQL databases.

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                                                                          • Experience with DevOps , CD/CI tools- Jenkins, GitHub, Automated Testing tools, or similar tools

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                                                                          • Strong understanding of object-oriented design and functional programming

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                                                                          +

                                                                          +

                                                                          Nice-to-have:

                                                                          +
                                                                            +
                                                                          • Prior work Experience in Capital/Regulatory Market or related industry

                                                                          • +
                                                                          • Strong data analysis skills and the ability to slice and dice the data as needed for business reporting.

                                                                          • +
                                                                          • Good Team player who can work with onsite/Offshore models and deadline oriented.

                                                                          • +
                                                                          • The candidate is expected to be dynamic, flexible, and energetic, as this is a demanding and rapidly changing environment.

                                                                          • +
                                                                          • Ability to work independently given general guidance.

                                                                          • +
                                                                          +

                                                                          +

                                                                          What’s in it for you?

                                                                          +

                                                                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                                                          +
                                                                            +
                                                                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

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                                                                          • Leaders who support your development through coaching and managing opportunities

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                                                                          • Ability to make a difference and lasting impact

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                                                                          • Work in a dynamic, collaborative, progressive, and high-performing team

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                                                                          • A world-class training program in financial services

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                                                                          • Flexible work/life balance options

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                                                                          • Opportunities to do challenging work

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                                                                          +

                                                                          +

                                                                          #LI-Hybrid

                                                                          +

                                                                          #LI-POST

                                                                          +

                                                                          +

                                                                          +

                                                                          Job Skills

                                                                          Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

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                                                                          +

                                                                          +

                                                                          Additional Job Details

                                                                          +

                                                                          Address:

                                                                          RBC CENTRE, 155 WELLINGTON ST W:TORONTO

                                                                          City:

                                                                          TORONTO

                                                                          Country:

                                                                          Canada

                                                                          Work hours/week:

                                                                          37.5

                                                                          Employment Type:

                                                                          Full time

                                                                          Platform:

                                                                          TECHNOLOGY AND OPERATIONS

                                                                          Job Type:

                                                                          Regular

                                                                          Pay Type:

                                                                          Salaried

                                                                          Posted Date:

                                                                          2024-10-01

                                                                          Application Deadline:

                                                                          2024-10-26

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                                                                          +

                                                                          Inclusion and Equal Opportunity Employment

                                                                          +

                                                                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                                                          ​​​​​​​
                                                                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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                                                                          +

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                                                                          +

                                                                          Join our Talent Community

                                                                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                                                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

                                                                          +
                                                                          ",,https://jobs.rbc.com/ca/en/job/R-0000099163/Senior-Big-Data-Developer-GFT,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2024-10-24T08:25:03.380Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/346633830-senior-big-data-developer-gft-at-rbc,,expired,2024-10-17T08:20:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +abd57b67-10e3-45ec-affc-44f454b952c2,346633916,Thomson Reuters,Applied Research Intern (NLP/ML/GenAI),on_site,"Ontario, Canada",2024-10-17T08:27:02.641Z,"
                                                                          JOB DESCRIPTION
                                                                          +
                                                                          +

                                                                          Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an applied scientist intern with a passion for problem-solving using state-of-the-art ML/NLP/IR/GenAI techniques.

                                                                          +

                                                                          +

                                                                          What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                                                          +

                                                                          +

                                                                          As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in ML/NLP/IR/GenAI, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

                                                                          +

                                                                          +

                                                                          The internship duration at Thomson Reuters Labs is typically up to 6 to 8 months and may be aligned with one or two academic semesters or depending upon your availability.

                                                                          +

                                                                          +

                                                                          About the role

                                                                          +

                                                                          As an Applied research intern, you will:

                                                                          +
                                                                            +
                                                                          • Innovate: You can try new ML/NLP/IR/GenAI approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

                                                                          • +
                                                                          • Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.

                                                                          • +
                                                                          • Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.

                                                                          • +
                                                                          +


                                                                          About You:

                                                                          +

                                                                          Basic Qualifications:

                                                                          +
                                                                            +
                                                                          • PhD student or MSc recent graduate in a discipline relevant to NLP/ML/IR/Statistics,

                                                                          • +
                                                                          • Practical and relevant experience building NLP/ML/IR/GenAI systems, from ideation to implementation,

                                                                          • +
                                                                          • +

                                                                            Software engineering skills for prototyping including:

                                                                            +
                                                                              +
                                                                            • Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,

                                                                            • +
                                                                            • Experience in using code collaboration and versioning systems such as Github,

                                                                            • +
                                                                            • Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,

                                                                            • +
                                                                            • Comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing,

                                                                            • +
                                                                            +
                                                                          • +
                                                                          • Data-driven problem-solving and decision-making mindset,

                                                                          • +
                                                                          • Curious and innovative disposition capable of proposing outside-the-box solutions,

                                                                          • +
                                                                          • Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.

                                                                          • +
                                                                          +

                                                                          +

                                                                          Preferred qualifications:

                                                                          +
                                                                            +
                                                                          • Familiarity with attention mechanism and transformer neural networks such as BERT and GPT,

                                                                          • +
                                                                          • Familiarity with generative AI (GenAI) and large language models (LLMs),

                                                                          • +
                                                                          • Familiarity with GenAI supporting technologies such as Prompt Engineering, RAG, Fine-tuning, etc.

                                                                          • +
                                                                          • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues,

                                                                          • +
                                                                          • Ability to translate academic research into working prototypes and experience experimenting with novel NLP/ML/IR models to solve real-world problems,

                                                                          • +
                                                                          • Self-driven attitude and ability to work with limited supervision,

                                                                          • +
                                                                          • Team player and comfortable to collaborate with internal team members and external stakeholders,

                                                                          • +
                                                                          • Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity.

                                                                          • +
                                                                          +

                                                                          +


                                                                          #LI-SS

                                                                          +

                                                                          +

                                                                          What’s in it For You?
                                                                          You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

                                                                          +
                                                                            +
                                                                          • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more

                                                                          • +
                                                                          • Social Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impact

                                                                          • +
                                                                          • Purpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                                                          • +
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                                                                          +

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                                                                          +

                                                                          +


                                                                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                                                          +

                                                                          +

                                                                          We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                                                          +

                                                                          +

                                                                          Accessibility

                                                                          +

                                                                          +

                                                                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                                                          +

                                                                          +

                                                                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                                                          +

                                                                          +

                                                                          +

                                                                          Protect yourself from fraudulent job postings click here to know more.

                                                                          +

                                                                          +

                                                                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                                                          +
                                                                          ",,https://careers.thomsonreuters.com/us/en/job/JREQ183387/Applied-Research-Intern-NLP-ML-GenAI?utm_source=Vector_Institute,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2024-10-24T08:32:02.632Z,False,0,6,26,https://talenthub.vectorinstitute.ai/jobs/346633916-applied-research-intern-nlp-ml-genai-at-thomson-reuters,,expired,2024-10-17T08:27:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, diff --git a/profileExport.csv b/profileExport.csv index a909379..7aadd7f 100644 --- a/profileExport.csv +++ b/profileExport.csv @@ -1,4 +1,6 @@ id,email,fname,lname,profile_image_url,label,summary,phone,video,website,facebook,linkedin,twitter,hidden,confidential,resume,city,state,zip,country,provider,created_at,last_sign_in_at,open_to_remote,open_to_relocation,vector_affiliation_categories,approved_profile,vector_affiliation,if_you_are_associated_with_a_vector_faculty_or_faculty_affiliate_please_state_their_name_here,what_is_your_estimated_graduation_date_if_still_studying,if_you_chose_otherunsure_please_explain,preferred_pronoun,verified_linkedin_url,what_are_your_primary_areas_of_research_interest_please_select_the_top_3_from_the_list_below,what_is_your_highest_level_of_education_note_if_currently_enrolled_please_include_this_level,what_is_your_level_of_experience_this_could_be_through_internships_phd_research_experience_or_industry_experience_post_graduation,what_is_your_program_of_study,what_sectors_interest_you,opportunities_you_are_looking_for,what_types_of_roles_are_you_looking_for,which_ontario_university_did_you_attend_most_recent_education,Data Use Terms,Opt In,Privacy Policy,Privacy Statement +666eb352-cc9f-45ef-8524-ed70d24c1ef6,melikaahmadian3@gmail.com,Melika,Ahmadian,https://talenthub.vectorinstitute.ai/profiles/5464604/view_image/1722354531076.jpeg,,,,,,,,,False,False,,,,,,linkedin,2024-10-24T05:38:31.897Z,2024-10-24T05:38:32.235Z,False,False,,,,,,,,,,,,,,,,,True,False,True,True +8a89203a-54e2-4416-b93e-dcf023f7fcd7,shagunchhikara@gmail.com,Shagun,Chhikara,https://talenthub.vectorinstitute.ai/profiles/5460872/view_image/1685904063195.jpeg,Applications Specialist,,,,,,https://www.linkedin.com/in/shagunchhikara/,,False,False,,Toronto,Ontario,,Canada,linkedin,2024-10-23T13:11:47.827Z,2024-10-23T13:11:48.216Z,True,True,,,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Ms.,,"Healthcare and/or medical imaging, Robotics, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Executive Master of Health Informatics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True 5735dc0b-da52-4a14-b824-e0deeb8c7410,aravindn1308@outlook.com,Aravind,Narayanan,https://talenthub.vectorinstitute.ai/profiles/5450454/view_image/1695527449774.jpeg,ML & Robotics Engineer,"Aravind Narayanan is an innovative Computer Vision Engineer and AI researcher with a background in Electrical and Computer Engineering. With experience in robotics, NLP, and autonomous systems, he has developed cutting-edge solutions, such as monocular depth estimation pipelines and AI-driven health monitoring systems. His expertise spans reinforcement learning, 3D reconstruction, and information retrieval using LLMs. Aravind has worked across diverse domains, contributing to both academic research and industry projects. An alumnus of the University of Toronto and IIIT Hyderabad, Aravind is passionate about leveraging technology for dynamic problem-solving and creating impactful solutions in computer vision, robotics, and AI.",4378581308,,https://aravind-3105.github.io/,,https://www.linkedin.com/in/aravind-n-774665144/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5735dc0b-da52-4a14-b824-e0deeb8c7410/resume,,,,,linkedin,2024-10-21T22:02:06.660Z,2024-10-21T22:02:07.086Z,True,True,,,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical and Computer Engineering,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 5c2adebe-9901-4a99-b34a-2ee61a006c74,hantien2002@gmail.com,Tien,Han,https://talenthub.vectorinstitute.ai/profiles/5444131/view_image/1663958036474.jpeg,,,,,,,https://www.linkedin.com/in/hantien/,,True,False,,,,,,linkedin,2024-10-21T02:13:39.189Z,2024-10-21T02:13:39.516Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hantien/,,,,,,,,,True,False,True,True 5a7753ed-0555-4519-9e19-41ff9e7426e8,amirmhmohammady@gmail.com,Amirhossein,Mohammadi,https://talenthub.vectorinstitute.ai/profiles/5443545/view_image/1610087928202.jpeg,,,,,,,https://www.linkedin.com/in/amirhossein-mohammadi/,,True,False,,,,,,linkedin,2024-10-20T20:55:09.857Z,2024-10-20T20:55:10.204Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amirhossein-mohammadi/,,,,,,,,,True,True,True,True @@ -8,18 +10,18 @@ f36e8e2a-b078-4c81-a569-a5c7612c0325,djninalga@gmail.com,Dean,Ninalga,https://ta 1135e981-fc38-41b8-92da-c834d461b95b,revathichkin@gmail.com,Revathi,Kannan,https://talenthub.vectorinstitute.ai/profiles/5422989/view_image/1668003448272.jpeg,,,,,,,https://www.linkedin.com/in/revathi-kannan-she-her-bb22517/,,True,False,,,,,,linkedin,2024-10-17T02:33:31.425Z,2024-10-17T02:33:31.875Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/revathi-kannan-she-her-bb22517/,"Computer vision, Data science, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Bachelor of Technology - Information Technology,Type of Work is More Important to me than Sector,"Full Time, Internship, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True 5490b9f1-8c15-44e9-ad5e-41ecb007785e,schinni2@uwo.ca,Suseela,Chinniah,https://talenthub.vectorinstitute.ai/profiles/5415065/view_image/1722564099063.jpeg,Senior Consultant,,,,,,https://www.linkedin.com/in/suseela-c-304523131/,,False,False,,Toronto,Ontario,,Canada,linkedin,2024-10-15T17:21:55.818Z,2024-10-15T17:21:56.171Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Not associated,Ms.,https://www.linkedin.com/in/suseela-c-304523131/,"Anomaly detection, Computer vision, Deep learning, Law, ethics and policy, Machine learning, Natural language processing, Optimization, Privacy, anonymity, and/or security, Quantum computing, Reinforcement learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True 4847ff1b-44e6-4870-96cc-68e652a8efb0,saumik.khan@mail.utoronto.ca,Saumik,Khan,https://talenthub.vectorinstitute.ai/profiles/5409665/view_image/1653807803252.jpeg,,,,,,,https://www.linkedin.com/in/saumik-khan-457896153/,,True,False,,,,,,linkedin,2024-10-14T21:16:11.306Z,2024-10-14T21:16:11.690Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/saumik-khan-457896153/,,,,,,,,,True,False,True,True -232deba1-50c8-424f-8a28-b455a507f7ec,krishang.karir@gmail.com,Krishang,Karir,https://talenthub.vectorinstitute.ai/profiles/5409537/view_image/1727920484430.jpeg,Master of Data Analytics,"Data specialist with Python, PowerBI, and professional communication skills",6475504917,,,,https://www.linkedin.com/in/krishangkarir/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/232deba1-50c8-424f-8a28-b455a507f7ec/resume,London,Ontario,,Canada,linkedin,2024-10-14T20:33:11.380Z,2024-10-15T16:05:47.284Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/krishangkarir/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist",Western University,True,True,True,True +232deba1-50c8-424f-8a28-b455a507f7ec,krishang.karir@gmail.com,Krishang,Karir,https://talenthub.vectorinstitute.ai/profiles/5409537/view_image/1727920484430.jpeg,Master of Data Analytics,"Data specialist with Python, PowerBI, and professional communication skills",6475504917,,,,https://www.linkedin.com/in/krishangkarir/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/232deba1-50c8-424f-8a28-b455a507f7ec/resume,London,Ontario,,Canada,linkedin,2024-10-14T20:33:11.380Z,2024-10-16T18:48:48.411Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/krishangkarir/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist",Western University,True,True,True,True 7eede9a2-6a42-42cf-b461-4643893f6e00,bo.d.lin.work@gmail.com,Bo (Evo),Lin,https://talenthub.vectorinstitute.ai/profiles/5403534/view_image/1615319512245.jpeg,"ML Graduate Student, Fullstack Developer","Passionate about Machine Learning, Experienced Full-Stack Software Engineer",7789382227,,,,https://linkedin.com/in/bo-evo-lin,,False,False,https://canadaai.jobboard.io/api/v1/profiles/7eede9a2-6a42-42cf-b461-4643893f6e00/resume,Toronto,Ontario,,Canada,linkedin,2024-10-13T22:41:37.643Z,2024-10-13T22:41:38.010Z,True,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,,Mr.,https://linkedin.com/in/bo-evo-lin,,Graduate Degree (Masters),Entry Level (0-2 Years),Mechanical and Industrial Engineering - Emphasis in ML and Data Analytics,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 361db862-efdb-4b7d-b476-2ca73e6a7a42,renqingze97@gmail.com,Qingze,Ren,https://talenthub.vectorinstitute.ai/profiles/5402967/view_image/1697962307418.jpeg,,"I am a dedicated Data Scientist with over 3 years of experience in explanatory analysis and data engineering, specializing in Python and SQL. My professional journey has equipped me with a robust skill set in building ETL pipelines, quantitative modeling, and driving business intelligence solutions using tools like Tableau. Currently, I am seeking data scientist positions where I can contribute my expertise and continue to grow professionally.",2269784296,,,,https://www.linkedin.com/in/qingze-ren/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/361db862-efdb-4b7d-b476-2ca73e6a7a42/resume,Waterloo,Ontario,,Canada,linkedin,2024-10-13T18:36:31.965Z,2024-10-16T14:52:27.760Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/qingze-ren/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True b209d02f-e5cb-4f55-bbea-98fc4abe1fe8,a.amritamar@gmail.com,Amrit,Amar,https://talenthub.vectorinstitute.ai/profiles/5402795/view_image/1681745133964.jpeg,,,,,,,https://www.linkedin.com/in/amritamar/,,True,False,,,,,,linkedin,2024-10-13T17:50:19.767Z,2024-10-13T17:50:20.109Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amritamar/,,,,,,,,,True,True,True,True bf93d4d1-e8bc-427a-8f07-f34e828e24a3,paul.owe@live.com,Paul,Owe,https://talenthub.vectorinstitute.ai/profiles/5398836/view_image/1698284178328.jpeg,AI Practitioner,,,,https://paulowe.com,,https://linkedin.com/in/paulowe,,True,False,,Toronto,Ontario,,Canada,linkedin,2024-10-12T21:42:52.093Z,2024-10-12T21:42:52.379Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,I am familiar with programs offered by Vector Institute only.,Mr.,https://linkedin.com/in/paulowe,"Bayesian methods, Deep learning, Game theory, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Financial Services, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -accfd1bb-b22c-48b0-8481-527457bb304f,rashmitha.shamanthula@queensu.ca,Rashmitha,Shamanthula,https://talenthub.vectorinstitute.ai/profiles/5394520/view_image/1719598688074.jpeg,Experienced Data Analytics Professional with 4+ years in extracting insights and implementing advanced Machine Learning and AI solutions. Skilled in leading teams and driving data-driven growth.,,4374213177,,,,https://www.linkedin.com/in/rashmithashamanthula/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/accfd1bb-b22c-48b0-8481-527457bb304f/resume,,,,,linkedin,2024-10-11T20:15:50.477Z,2024-10-11T20:15:50.900Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/rashmithashamanthula/,"Machine learning, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +accfd1bb-b22c-48b0-8481-527457bb304f,rashmitha.shamanthula@queensu.ca,Rashmitha,Shamanthula,https://talenthub.vectorinstitute.ai/profiles/5394520/view_image/1719598688074.jpeg,Experienced Data Analytics Professional with 4+ years in extracting insights and implementing advanced Machine Learning and AI solutions. Skilled in leading teams and driving data-driven growth.,,4374213177,,,,https://www.linkedin.com/in/rashmithashamanthula/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/accfd1bb-b22c-48b0-8481-527457bb304f/resume,,,,,linkedin,2024-10-11T20:15:50.477Z,2024-10-19T15:05:27.745Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/rashmithashamanthula/,"Machine learning, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True 2eb02394-1da3-4764-a799-c78fc25a55ce,stevenhaddadcs@gmail.com,Steven,Haddad,https://talenthub.vectorinstitute.ai/profiles/5394379/view_image/1684522900481.jpeg,,,,,,,https://www.linkedin.com/in/stevenhaddadcs/,,True,False,,,,,,linkedin,2024-10-11T19:19:44.600Z,2024-10-11T19:19:44.920Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/stevenhaddadcs/v,,,,,,,,,True,False,True,True fc750609-183a-40a8-825c-0b0509f6e2c5,yonas.zeleke@queensu.ca,Yonas,Zeleke,https://talenthub.vectorinstitute.ai/profiles/5394156/view_image/Yonas_Zeleke_profile_.jpg,Data Analyst/Statistician,,6478795303,,,,https://linkedin.com/in/yonas-zeleke-533a9782,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc750609-183a-40a8-825c-0b0509f6e2c5/resume,Toronto,Ontario,,Canada,,2024-10-11T18:07:15.927Z,2024-10-18T03:46:31.399Z,True,True,Other Vector Programming,Yes,Other Vector Programming,Ontario,Winter 2025 (December 2024 - March 2025),Excel to AI for Black & Indigenous Students,Mr.,https://linkedin.com/in/yonas-zeleke-533a9782,"Bioinformatics, Data science, Healthcare and/or medical imaging, Reinforcement learning, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics (MMA),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Other ",Queen's University,True,True,True,True a909aded-ba3e-4714-854e-4fb6502b2d39,niloufar_hosseini72@yahoo.com,Fatemeh,hosseini abardeh,https://talenthub.vectorinstitute.ai/profiles/5392968/view_image/1723131231571.jpeg,,"With five years of experience at RBC Bank and a background in electrical engineering, I have developed a strong foundation in both finance and technology. My professional journey at RBC began as a Client Advisor, where I served for three years before advancing to the role of Royal Advisor at the digital branch. After successfully passing the mutual funds exam, I transitioned to my current position as a Banking Advisor, a role I have held for the past year. Furthermore, I have expanded my technical skill set by gaining proficiency in Python coding and completing courses in Python, machine learning, and project management through platforms like Udemy and Coursera. Given my passion for both finance and technology, I am eager to transition into a role that allows me to leverage my experience in banking while contributing to the growing field of AI. I am particularly interested in exploring opportunities within the tech industry and am keen to continue learning and growing in this dynamic field. ",5145734730,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a909aded-ba3e-4714-854e-4fb6502b2d39/resume,Montreal,Quebec,,Canada,linkedin,2024-10-11T13:28:03.317Z,2024-10-11T13:28:03.740Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,N/A,"Data science, Deep learning, Healthcare and/or medical imaging, Neuroscience",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),electrical engineering,"Financial Services, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True -a90fcd50-6db6-4ed8-8f92-40990e474855,robie.gonzales@dal.ca,Robie,Gonzales,https://talenthub.vectorinstitute.ai/profiles/5388899/view_image/1715303015256.jpeg,Software Engineer / Researcher,Software engineer and researcher passionate about applying deep learning and natural language processing techniques to real world problems. I have industry experience leading cross functional teams and building scalable machine learning systems.,9024146544,,http://robiegonzales.com,,https://www.linkedin.com/in/robie-gonzales/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a90fcd50-6db6-4ed8-8f92-40990e474855/resume,Toronto,Ontario,,Canada,linkedin,2024-10-10T19:38:26.235Z,2024-10-17T19:17:04.418Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/robie-gonzales/,"AI safety, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science + Mathematics,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +a90fcd50-6db6-4ed8-8f92-40990e474855,robie.gonzales@dal.ca,Robie,Gonzales,https://talenthub.vectorinstitute.ai/profiles/5388899/view_image/1715303015256.jpeg,Software Engineer / Researcher,Software engineer and researcher passionate about applying deep learning and natural language processing techniques to real world problems. I have industry experience leading cross functional teams and building scalable machine learning systems.,9024146544,,http://robiegonzales.com,,https://www.linkedin.com/in/robie-gonzales/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a90fcd50-6db6-4ed8-8f92-40990e474855/resume,Toronto,Ontario,,Canada,linkedin,2024-10-10T19:38:26.235Z,2024-10-21T21:48:26.477Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/robie-gonzales/,"AI safety, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science + Mathematics,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True 1a8ff816-feca-43c6-a69a-78c55906136d,kulalsoumya851@gmail.com,Soumya,Kulal,https://talenthub.vectorinstitute.ai/profiles/5383154/view_image/1714503787195.jpeg,,"A passionate software engineer with a rich expertise in IoT, automation, and data analytics, driven by the goal to innovate and solve complex real-world challenges. With over 3 years of experience in mainframe development and transitioning to modern microservices, I have honed my skills in web technologies, Python scripting, and data visualization. My technical proficiency spans across application development, migration, and optimization, while my leadership roles in academic and community settings reflect my dedication to collaboration, mentorship, and holistic well-being. Committed to making a meaningful impact both in technology and in community service, I strive to continuously grow and apply my skills in ways that benefit both industry and society.",7802318174,,,,https://www.linkedin.com/in/soumya-kulal-aa690b164/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1a8ff816-feca-43c6-a69a-78c55906136d/resume,Edmonton,Alberta,,Canada,linkedin,2024-10-09T20:11:23.693Z,2024-10-09T20:11:24.040Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,CA-QC,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/soumya-kulal-aa690b164/,"Computer vision, Data science",Graduate Degree (Masters),Entry Level (0-2 Years),Computing Science,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager, Software Engineer",Other,True,True,True,True @@ -193,7 +195,7 @@ Tech Stack d6b92fdb-21b9-469a-92dd-ad66753bdb6d,aarammaya@gmail.com,Maya,Aaram,https://talenthub.vectorinstitute.ai/profiles/5275933/view_image/PXL_20240510_150755652.PORTRAIT.jpg,"Manager of Graduate Studies @ College of Engineering and Physical Sciences, University of Guelph","I'm a computational scientist by training, and a product manager and data scientist by accident, currently working as a higher education manager. I have studied, used and implemented machine learning fundamentals and architectures extensively for drug design, and have done more data collection, inventory and curation than I'd like to remember! My work interests and recent experiences are in the domain of generative AI (LLMs and otherwise) and adaptation of AI in large organizations, especially in education and research domains.",2265001013,,https://gitlab.com/maya_aaram,,https://www.linkedin.com/in/maya-aaram-99479727a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d6b92fdb-21b9-469a-92dd-ad66753bdb6d/resume,Guelph,Ontario,,Canada,,2024-09-18T16:33:19.931Z,2024-09-20T03:27:01.419Z,True,False,Connected to Vector Research,Yes,Other Vector Programming,Graham Taylor (till 2020),Already Graduated,"I was a Vector affiliate as a postdoc till 2020 in the Machine learning research group at University of Guelph, led by Prof. Graham Taylor.",Ms.,https://www.linkedin.com/in/maya-aaram-99479727a/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computational Biophysics,"Education, Health, Manufacturing , Public Administration (i.e Gov't), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Guelph,True,True,True,True f8185bbb-310c-4a75-bd0f-eae6a98aa659,nishadkishan288@gmail.com,Kishan,Nishad,https://talenthub.vectorinstitute.ai/profiles/5275909/view_image/1616995423542.jpeg,,,,,,,https://www.linkedin.com/in/kishan-nishad-6527b720a/,,True,False,,,,,,linkedin,2024-09-18T16:26:45.231Z,2024-09-18T16:26:45.615Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kishan-nishad-6527b720a/,,,,,,,,,True,True,True,True -2a23e08b-fca4-4b0d-aa45-287650a877a4,kuldipm1984@gmail.com,Kuldip,Mitra,https://talenthub.vectorinstitute.ai/profiles/5275490/view_image/1534188036062.jpeg,"Senior Management Professional with 17 Years of experience as a Project Manager, Scrum Master, and Business Analytics Consultant","I am Kuldip Mitra, and I am currently pursuing a Master of Business Analytics and AI from Ontario Tech University. I also hold an MBA in general management and a B.Tech in Mechanical Engineering. I have 17 years of experience including 5.5 years in IT as a Business Analytics consultant and Project Manager with expertise in agile software development, release and change management, and analytics model development and deployment, and 11.5 years in EPC/Power and Cement industries with expertise in Mechanical equipment commissioning, operation, and maintenance with required system Automation. I am passionate about leveraging data-driven strategies to drive business growth and want to pursue a career in analytics and AI.",+1(289) 688-6062,,,,https://www.linkedin.com/in/kuldip-mitra-1a916631/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2a23e08b-fca4-4b0d-aa45-287650a877a4/resume,Oshawa,Ontario,,Canada,linkedin,2024-09-18T14:57:23.404Z,2024-10-14T22:34:11.567Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/kuldip-mitra-1a916631/,,Graduate Degree (Masters),Senior Level (5+ Years),Business Analytics and AI,,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True +2a23e08b-fca4-4b0d-aa45-287650a877a4,kuldipm1984@gmail.com,Kuldip,Mitra,https://talenthub.vectorinstitute.ai/profiles/5275490/view_image/1534188036062.jpeg,"Senior Management Professional with 17 Years of experience as a Project Manager, Scrum Master, and Business Analytics Consultant","I am Kuldip Mitra, and I am currently pursuing a Master of Business Analytics and AI from Ontario Tech University. I also hold an MBA in general management and a B.Tech in Mechanical Engineering. I have 17 years of experience including 5.5 years in IT as a Business Analytics consultant and Project Manager with expertise in agile software development, release and change management, and analytics model development and deployment, and 11.5 years in EPC/Power and Cement industries with expertise in Mechanical equipment commissioning, operation, and maintenance with required system Automation. I am passionate about leveraging data-driven strategies to drive business growth and want to pursue a career in analytics and AI.",+1(289) 688-6062,,,,https://www.linkedin.com/in/kuldip-mitra-1a916631/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2a23e08b-fca4-4b0d-aa45-287650a877a4/resume,Oshawa,Ontario,,Canada,linkedin,2024-09-18T14:57:23.404Z,2024-10-16T12:43:01.618Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/kuldip-mitra-1a916631/,,Graduate Degree (Masters),Senior Level (5+ Years),Business Analytics and AI,,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True a178a01e-f14f-4c8a-a21a-aa1a20baaecc,mhogbin@kpmg.ca,Michael,"Hogbin, CHRP",https://talenthub.vectorinstitute.ai/profiles/5275076/view_image/1530209085419.jpeg,,,,,,,https://www.linkedin.com/in/michaelhogbin/,,True,False,,,,,,linkedin,2024-09-18T13:39:52.376Z,2024-09-18T13:39:52.681Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/michaelhogbin/,,,,,,,,,True,False,True,True 51f3ff86-7319-49cf-aaf4-c9d4bfde4752,fokhrul.rmedu@gmail.com,Md Fokhrul,Islam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/fokhrul-islam/,,True,True,,,,,,linkedin,2024-09-18T06:46:50.188Z,2024-09-18T06:46:50.485Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/fokhrul-islam/,,,,,,,,,True,False,True,True 96ef32da-0d15-4e8b-bf9c-e34e82adc71e,sleduap@gmail.com,Sudarshan,Sharma Paudel,https://talenthub.vectorinstitute.ai/profiles/5272234/view_image/1562439639734.jpeg,,,,,,,https://www.linkedin.com/in/sudarshan-sharma-paudel-24713818b/,,True,False,,,,,,linkedin,2024-09-18T04:33:06.711Z,2024-09-18T04:33:07.249Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sudarshan-sharma-paudel-24713818b/,,,,,,,,,True,False,True,True @@ -206,7 +208,7 @@ a66d22d4-a494-4310-9fb9-51699c5eb471,ceciliakemengli@gmail.com,Cecilia,Li,https: Concurrently, I'm advancing my education in Big Data Analytics at Georgian College, where I've already earned Dean's List honors thrice, reflecting a consistent track record of academic excellence. My focus is on melding theoretical knowledge with practical applications, aiming to drive innovation in data science and artificial intelligence, with an unwavering commitment to contributing to cutting-edge solutions in the tech landscape.",9057839118,,,,https://www.linkedin.com/in/shreymodi786/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/615f07f2-7baf-4c89-a45d-7e9b39314dd8/resume,,,,,linkedin,2024-09-17T20:46:58.277Z,2024-09-17T20:46:58.615Z,True,True,Not Affiliated with Vector,No,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/shreymodi786/,"Computer vision, Data science, Deep learning, Robotics",Postgraduate Degree (PhD),Entry Level (0-2 Years),AI and Big Data,,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Trent University,True,True,True,True a2b8cbb1-3f39-4a0b-8e83-432432471b19,manavpatel1241@gmail.com,Manav,Patel,https://talenthub.vectorinstitute.ai/profiles/5271337/view_image/1645197543895.jpeg,New Graduate Software Engineer,"'m Manav, a recent Software Engineering graduate currently pursuing a MEng in Computer Engineering at Toronto Metropolitan University, where I'm deepening my knowledge in machine learning and AI. I am on track to graduate in April 2025. I've gained valuable backend development experience building REST APIs and database models at Lockheed Martin and honed my full-stack skills while working with ASP.NET MVC applications at FGF Brands. Currently, I'm a Teaching Assistant for COE318 Software Systems (Intro to Java and OOP) at TMU. I'm a dedicated problem-solver, a hard worker, and always eager to learn new things.",6479656728,,https://github.com/mpat247,,https://www.linkedin.com/in/manavpat/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a2b8cbb1-3f39-4a0b-8e83-432432471b19/resume,Toronto,Ontario,,Canada,linkedin,2024-09-17T20:35:35.543Z,2024-09-17T20:35:36.053Z,True,True,Recognized Masters Program,Yes,Post Graduate Affiliate,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/manavpat/,"AI safety, Fairness, Generative modeling",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,,"Full Time, Internship, Co-op, Contract","Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Toronto Metropolitan University,True,True,True,True 4081e96c-c032-4e2f-a07a-ffc7136bbda2,mokhtarkhalil655@gmail.com,Mohamed Moctar,AHMED,https://talenthub.vectorinstitute.ai/profiles/5271158/view_image/1718319588696.jpeg,,,,,,,https://www.linkedin.com/in/mohamed-moctar-ahmed-009550218/,,True,False,,,,,,linkedin,2024-09-17T19:39:32.885Z,2024-09-17T19:39:33.367Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mohamed-moctar-ahmed-009550218/,,,,,,,,,True,False,True,True -9ee096f1-7aa6-4139-af24-c7ab3dfd3717,divyanagpal2015@gmail.com,Divya,Nagpal,https://talenthub.vectorinstitute.ai/profiles/5270867/view_image/1706817802420.jpeg,,,,,,,https://www.linkedin.com/in/divyanagpal11/,,False,False,,,,,,linkedin,2024-09-17T18:18:04.541Z,2024-09-21T04:38:42.107Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/divyanagpal11/,,,,,,,,,True,True,True,True +9ee096f1-7aa6-4139-af24-c7ab3dfd3717,divyanagpal2015@gmail.com,Divya,Nagpal,https://talenthub.vectorinstitute.ai/profiles/5270867/view_image/1706817802420.jpeg,,,,,,,https://www.linkedin.com/in/divyanagpal11/,,False,False,,,,,,linkedin,2024-09-17T18:18:04.541Z,2024-09-21T20:08:00.130Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/divyanagpal11/,,,,,,,,,True,True,True,True 5cc27e25-b09d-4e01-90d3-3db64cf39eb5,pmasuka@gmail.com,Pardon,Masuka,https://talenthub.vectorinstitute.ai/profiles/5270574/view_image/1550775728926.jpeg,Data Scientist,"Results-driven Data Scientist with an MSc in Statistics and Data Science, complemented by 10+ years of diverse experience in banking, research, and logistics. Proven track record of leveraging advanced analytics, machine learning, and statistical modelling to drive business decisions and optimize operations. Skilled in Python, R, SQL, and various data visualization tools. Combines solid technical abilities with excellent communication skills, co-authoring multiple peer-reviewed publications. Seeking a challenging role to apply expertise in data analysis and predictive modelling to solve complex business problems and drive innovation.",+32465282542,,,,https://www.linkedin.com/in/pmasuka/,,False,False,,,,,,linkedin,2024-09-17T17:07:26.982Z,2024-09-17T17:07:27.424Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pmasuka/,"Data science, Fairness, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Msc Statistics and Data Science,,"Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,False,True,True 9cc4f770-2a78-4635-913c-f1cb377f0749,sreelakshmimohan962@gmail.com,Sreelakshmi,Mohan,https://talenthub.vectorinstitute.ai/profiles/5270354/view_image/1725403733784.jpeg,Experienced IT Professional,"A versatile IT professional with a strong background in development, incident handling, production support, and system enhancements. Experienced in addressing vulnerabilities and improving system performance, particularly during a tenure at Tata Consultancy Services (TCS). Hands-on experience with Big Data tools and technologies, as well as cloud platforms such as AWS and Azure, further enhance expertise. Proficient in working with Windows, Windows Server, and Linux environments. Additionally, contributed to AI-related projects at Vosyn and played a key role in an academic project, focusing on wireframe design, data analysis, extraction, cleaning, visualization, and dashboarding.",7827782074,,,,https://www.linkedin.com/in/sreelakshmi-mohan-91b505126/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9cc4f770-2a78-4635-913c-f1cb377f0749/resume,Toronto,Ontario,,Canada,linkedin,2024-09-17T16:20:13.727Z,2024-09-17T16:20:14.217Z,True,True,Not Affiliated with Vector,No,Unsure,Ontario,Already Graduated,Graduated in Big Data Analytics and Cloud Computing Technologies (Graduate Certificate Program),Miss.,https://www.linkedin.com/in/sreelakshmi-mohan-91b505126/,"Anomaly detection, Data science, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),I have completed Bachelors of Technology in Electronics and Communication Engineering; and Graduate Certificate in Big Data Analytics and Cloud Computing Technologies.,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Other,True,False,True,True b60bfd95-7c55-4fbe-a8fd-6288ff0cc0e5,james.parisi@gmail.com,James,Parisi,https://talenthub.vectorinstitute.ai/profiles/5270347/view_image/1516239365839.jpeg,,,,,,,https://www.linkedin.com/in/james-parisi-965b931/,,False,False,,,,,,linkedin,2024-09-17T16:19:42.258Z,2024-09-17T16:19:42.804Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/james-parisi-965b931/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management of Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting)",Full Time,Other ,Queen's University,True,True,True,True @@ -220,7 +222,7 @@ As an aspiring data scientist with a strong background in banking and hands-on e With proficiency in programming languages (Python, R, VBA, SQL) and data tools (Tableau, PowerBI, Excel), I enjoy projects in data modeling, predictive analytics, and data visualization. -I am passionate about working with diverse teams, learning new things, and using data in ways that make a real difference.",,,,,https://www.linkedin.com/in/tatianamcauley/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c7170975-96ec-4cb0-85af-f40295fbdb9f/resume,Toronto,Ontario,,Canada,linkedin,2024-09-16T22:26:52.443Z,2024-10-01T17:16:31.935Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/tatianamcauley/,"Bayesian methods, Data science, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",Queen's University,True,True,True,True +I am passionate about working with diverse teams, learning new things, and using data in ways that make a real difference.",,,,,https://www.linkedin.com/in/tatianamcauley/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c7170975-96ec-4cb0-85af-f40295fbdb9f/resume,Toronto,Ontario,,Canada,linkedin,2024-09-16T22:26:52.443Z,2024-10-11T23:17:03.370Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/tatianamcauley/,"Bayesian methods, Data science, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",Queen's University,True,True,True,True 303223c3-1146-4fcb-a420-6b3f09586ce4,zjxi04@gmail.com,Miles,Xi,https://talenthub.vectorinstitute.ai/profiles/5265788/view_image/1723003546726.jpeg,Master of Data Analytcis student at Western | Seeking Summer 2025 Internship or full-time jobs,"I possess solid data analytics skills such as machine learning and statistical analysis, as well as quantitative finance skills such as derivatives pricing and financial risk management. I can perform these analyses using Python, R, and SQL. I also have experience in Tableau.",(672) 755-9885,,,,https://www.linkedin.com/in/miles-xi,,False,False,https://canadaai.jobboard.io/api/v1/profiles/303223c3-1146-4fcb-a420-6b3f09586ce4/resume,London,Ontario,,Canada,linkedin,2024-09-16T20:43:02.952Z,2024-09-18T03:31:53.477Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/miles-xi,"Data science, Interpretability, Law, ethics and policy",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True e94d920b-9cee-45f9-8d35-83e2b59b27f6,agnez.leung@gmail.com,Agnes,Leung,https://talenthub.vectorinstitute.ai/profiles/5265709/view_image/photo.jpg,"Registered Nurse, CNN(C)",,416-562-7373,,,,https://www.linkedin.com/in/agnes-leung-rn/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e94d920b-9cee-45f9-8d35-83e2b59b27f6/resume,,,,,,2024-09-16T20:15:47.513Z,2024-09-16T22:58:35.689Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/agnes-leung-rn/,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True a576ad2f-87bb-40c4-96b4-95e43f8f761f,jiez67139@gmail.com,JIE,Zhang,https://talenthub.vectorinstitute.ai/profiles/5265612/view_image/1683321416126.jpeg,MScAC Student,,4372353035,,,,https://www.linkedin.com/in/jie-gina-zhang/,,True,False,,Toronto,Ontario,,Canada,linkedin,2024-09-16T19:47:38.587Z,2024-09-16T19:47:38.921Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Other/Undetermined,,Ms.,https://www.linkedin.com/in/jie-gina-zhang/,"Computer vision, Deep learning, Graphical models",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True @@ -411,7 +413,7 @@ applications and Robotics. Skilled in Python, C++, Tensorflow, PyTorch, and ROS. 9a49e397-7010-4130-8ce6-28609fce8214,georgette.otoo@gmail.com,Georgette,Otoo,https://talenthub.vectorinstitute.ai/profiles/4840931/view_image/1718734060786.jpeg,,,,,,,https://www.linkedin.com/in/g-otoo/,,False,False,,,,,,linkedin,2024-06-21T15:08:31.012Z,2024-06-21T15:08:31.671Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/g-otoo/,,,,,,,,,True,True,True,True 5385adec-ba0a-4d66-9349-b7e3e7ff2e46,caoam2528357431@gmail.com,An,Cao,https://talenthub.vectorinstitute.ai/profiles/4836105/view_image/%E5%BE%AE%E4%BF%A1%E5%9B%BE%E7%89%87_20240418132530.jpg,Graduate Student in MScAC at UofT,"An Cao is a current graduate student of MScAC AI concentration at UofT, expecting to achieve his master degree in December 2025. He is also a recipient of Vector Scholarship in AI. Currently, he is working at Vector Institute as a Machine Learning Associate on Conversational Database Agent for Sythetic Society. In his undergraduate as a student of Software Engineering at Huazhong University of Science and Technology in China from 2020 to 2024, he spent three years in Prof. Gang Shen's Lab, focusing on Computer Vision. At first, he concentrated on theoretical and mathematic foundations and engineering skills. Then he formed and led his own team to conduct research. In 2023, he published his paper ""LisaCLIP: Locally Incremental Semantics Adaptation towards Zero-shot Text-driven Image Synthesis"" in IJCNN2023 as the first author. His another paper ""Diff-STAR Exploring Student-Teacher Adaptive Reconstruction through Diffusion-based Generation for Image Harmonization"", where he is the first author as well, is published by a SCI Q1 journal, Image and Vision Computing. With several honors and awards, An Cao graduated as an outstanding undergraduate student. -In his spare time, he is also interested in algorithm. He have solved over 1600 Algorithm problems on leetcode and still keep practicing daily.",,,https://leetcode.cn/u/laisse-le-temps-passer,,https://www.linkedin.com/in/ancaoai/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5385adec-ba0a-4d66-9349-b7e3e7ff2e46/resume,Toronto,Ontario,,Canada,linkedin,2024-06-20T15:00:28.802Z,2024-10-15T04:10:52.348Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/an-cao-08a74a283/,"Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing -- AI concentration,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +In his spare time, he is also interested in algorithm. He have solved over 1600 Algorithm problems on leetcode and still keep practicing daily.",,,https://leetcode.cn/u/laisse-le-temps-passer,,https://www.linkedin.com/in/ancaoai/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5385adec-ba0a-4d66-9349-b7e3e7ff2e46/resume,Toronto,Ontario,,Canada,linkedin,2024-06-20T15:00:28.802Z,2024-10-15T05:05:02.220Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/an-cao-08a74a283/,"Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing -- AI concentration,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True ce65811b-c4dd-45e7-9108-c514a3488d81,vensan0212@gmail.com,Santosh,Venkatraman,https://talenthub.vectorinstitute.ai/profiles/4825951/view_image/Digital_photo.jpg,Certified TensorFlow Developer | AI & ML Enthusiast,"jComputer Science Masters student with Data Science, AI, ML, DL, IoT & Embedded systems prowess. I specialize in data analytics & visualization and building novel ML and neural network classifiers and regressors for a vast multitude of problems ranging from biomedical image classification to price prediction. Skilled in supervised and unsupervised learning, hyperparameter tuning, computer vision, NLP, and time series analysis. I have worked in a team of 3 in collaboration with Sankara Nethralaya and the University of Liverpool to build an implantable embedded ophthalmological Proof of Concept (PoC) named ""Virtual ViSN"" to restore vision to corneal opacity victims.",8073584193,,,,https://www.linkedin.com/in/santoshv0212/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ce65811b-c4dd-45e7-9108-c514a3488d81/resume,Thunder Bay,Ontario,,Canada,,2024-06-18T15:26:06.559Z,2024-06-18T15:26:06.627Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/santoshv0212/,"Deep learning, Healthcare and/or medical imaging, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Lakehead University,True,True,True,True abb107ed-894f-426d-90c4-9a373517c4b8,henaghonia2015@gmail.com,Hena,Ghonia,https://talenthub.vectorinstitute.ai/profiles/4822378/view_image/1653714014768.jpeg,,,,,,,https://www.linkedin.com/in/hena-ghonia-0876aa129/,,True,False,,,,,,linkedin,2024-06-17T20:46:50.524Z,2024-06-17T20:46:50.958Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/hena-ghonia-0876aa129/,,,,,,,,,True,False,True,True af33870c-e6d7-42c4-b7c7-b6744478e94b,ozeru2000@gmail.com,Ugur,Ozer,https://talenthub.vectorinstitute.ai/profiles/4822000/view_image/1517718259350.jpeg,AIGP (AI Governance Professional) | AI Risk Management and Compliance | Responsible AI | Data and Analytics | Head of Risk and Compliance | Information Security Risk and Controls | Change Management,"As a Financial Services leader with 18+ years of strategy formulation and project execution across retail, corporate and institutional finance spaces; my experience covers enterprise transformation, data driven key initiatives management, risk management frameworks including AI and cybersecurity/technology risks. @@ -476,10 +478,10 @@ c67ea3b1-abe1-4754-b1a7-e07e0a3e70c9,sherry.zhang3210@gmail.com,Sherry,Zhang,htt 174b5eb5-01fb-4b94-82f5-30ae1a388632,yilin.yang@vectorinstitute.ai,Yilin,Yang,https://talenthub.vectorinstitute.ai/profiles/4725491/view_image/file.jpg,Applied Machine Learning Intern,"As a current Vector Institute Applied Machine Learning Intern, I am passionate about advancing the field of machine learning and ensuring its ethical and responsible use. I have a Master of Science degree in Computer Science, and I am currently working on developing novel methods for federated learning systems and differentially private machine learning, both aim to protect the privacy of individuals while enabling data analysis and learning. I have over 1.5 years of experience in machine learning research, and I have contributed to multiple publications and projects at ParkLab, a leading research group in the area of privacy-preserving machine learning. I have also developed strong skills in Python, PyTorch, and reinforcement learning, which I apply to various problems and domains. I am eager to learn new techniques and technologies and to collaborate with other researchers and practitioners who share my vision of creating a more secure and fair world with machine learning.",2368695955,,,,https://www.linkedin.com/in/yilinyang-,,False,False,https://canadaai.jobboard.io/api/v1/profiles/174b5eb5-01fb-4b94-82f5-30ae1a388632/resume,Vancouver,British Columbia,,Canada,,2024-05-26T17:57:52.916Z,2024-05-28T06:20:11.198Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,,Mr.,https://www.linkedin.com/in/yilinyang-,"Deep learning, Healthcare and/or medical imaging, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True 2cab2594-271f-4963-b17a-5f46cbe07b4d,ernest.namdar@utoronto.ca,Ernest,Namdar,https://talenthub.vectorinstitute.ai/profiles/4725019/view_image/IMG_0257.jpg,Senior Data Analyst,"Khashayar Namdar has an IT and Computer Engineering background and holds two bachelor’s and two master’s degrees. He also completed a MicroMasters in Statistics and Data Science and is currently completing a Ph.D. in Medical Science at the University of Toronto. He has over ten years of R&D experience, both in the IT industry and healthcare. He is a Machine Learning (ML) researcher at the SickKids Hospital Research Institute, and his projects are focused on the intersection of Artificial Intelligence (AI) and Medical Imaging. His recent research is on pediatric brain cancer, where he aims to enhance diagnosis and treatment planning.",,,https://openradiomics.org/,,https://www.linkedin.com/in/ernest-namdar,ErnestNamdar,False,False,https://canadaai.jobboard.io/api/v1/profiles/2cab2594-271f-4963-b17a-5f46cbe07b4d/resume,Toronto,Ontario,,Canada,,2024-05-26T14:50:07.444Z,2024-05-26T14:50:07.555Z,True,True,Connected to Vector Research,Yes,Post Graduate Affiliate,Farzad Khalvati,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/ernest-namdar,,Postgraduate Degree (PhD),Senior Level (5+ Years),Medical Science,"Education, Health, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 26fc255b-3274-4983-9b5a-6f6ab9f57b69,akshayythakare@gmail.com,Akshaykumar,Thakare,https://talenthub.vectorinstitute.ai/profiles/4723317/view_image/1689116865994.jpeg,,,,,,,https://www.linkedin.com/in/thakare26/,,False,False,,,,,,linkedin,2024-05-26T00:44:51.438Z,2024-05-26T00:44:51.833Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/thakare26/,,,,,,,,,True,True,True,True -6e1c96dd-7146-4e79-98a8-c484f5de0937,poojanvadaliya@gmail.com,Poojan,Vadaliya,https://talenthub.vectorinstitute.ai/profiles/4719799/view_image/1702609875823.jpeg,Graduate Student,I have a soft spot for creating impactful presentations and a passion for transforming complex data into actionable insights that drive innovation.,4375666841,,https://github.com/poojanV55,,https://www.linkedin.com/in/poojanv55/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6e1c96dd-7146-4e79-98a8-c484f5de0937/resume,Guelph,Ontario,,Canada,linkedin,2024-05-24T19:49:36.349Z,2024-10-16T16:05:47.184Z,True,True,Vector Scholarship Nominee,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/poojanv55/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,False,True,True +6e1c96dd-7146-4e79-98a8-c484f5de0937,poojanvadaliya@gmail.com,Poojan,Vadaliya,https://talenthub.vectorinstitute.ai/profiles/4719799/view_image/1702609875823.jpeg,Graduate Student,I have a soft spot for creating impactful presentations and a passion for transforming complex data into actionable insights that drive innovation.,4375666841,,https://github.com/poojanV55,,https://www.linkedin.com/in/poojanv55/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6e1c96dd-7146-4e79-98a8-c484f5de0937/resume,Guelph,Ontario,,Canada,linkedin,2024-05-24T19:49:36.349Z,2024-10-21T16:15:48.677Z,True,True,Vector Scholarship Nominee,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/poojanv55/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,False,True,True 842c0173-c88f-485e-a154-3647a7a40d73,umairarhambd@gmail.com,Umair,Arham,https://talenthub.vectorinstitute.ai/profiles/4716133/view_image/1706931481241.jpeg,,,,,,,https://www.linkedin.com/in/umairx25/,,True,False,,,,,,linkedin,2024-05-23T22:51:13.482Z,2024-05-23T22:51:13.917Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/umairx25/,,,,,,,,,True,True,True,True 6141ac09-e030-4033-b507-d3036fbf86e8,ogatosteffan@gmail.com,Steffan,Ogato,https://talenthub.vectorinstitute.ai/profiles/4712911/view_image/1695596875581.jpeg,,,,,,,,,True,False,,,,,,linkedin,2024-05-23T08:17:58.015Z,2024-05-23T08:17:58.383Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -0192f362-1854-4b07-8409-9ac564eea311,gokul.ravi@vectorinstitute.ai,Gokul,Ravi,https://talenthub.vectorinstitute.ai/profiles/4701743/view_image/VI_0617-web.jpg,,,6478712736,,,,https://www.linkedin.com/in/gokul--ravi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0192f362-1854-4b07-8409-9ac564eea311/resume,,,,,,2024-05-21T02:26:32.353Z,2024-10-21T15:06:35.165Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Fall 2024 (August - November),FastLane Machine Learning Associate,Mr.,https://www.linkedin.com/in/gokul--ravi/,"Generative modeling, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),2nd Year,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +0192f362-1854-4b07-8409-9ac564eea311,gokul.ravi@vectorinstitute.ai,Gokul,Ravi,https://talenthub.vectorinstitute.ai/profiles/4701743/view_image/VI_0617-web.jpg,,,6478712736,,,,https://www.linkedin.com/in/gokul--ravi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0192f362-1854-4b07-8409-9ac564eea311/resume,,,,,,2024-05-21T02:26:32.353Z,2024-10-23T00:02:45.197Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Fall 2024 (August - November),FastLane Machine Learning Associate,Mr.,https://www.linkedin.com/in/gokul--ravi/,"Generative modeling, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),2nd Year,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True e899cd61-e256-4962-89c0-10582055a811,emrul.phy@gmail.com,Emrul,Hasan,https://talenthub.vectorinstitute.ai/profiles/4701493/view_image/1585974869717.jpeg,Machine Learning Engineer,"A Machine Learning Engineer with 5 years of experience in ML, DL, NLP, and Recommendation Systems. Well-versed with a wide range of ML frameworks including PyTorch, Scikit-learn, Pandas, NumPy, etc. Proven track record of research and publications in top-tier journals and conferences. Enthusiastic about problem-solving and Generative AI.",647-8572-014,,https://emrulhasan-nlp.github.io/,,https://www.linkedin.com/in/emrulphy/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e899cd61-e256-4962-89c0-10582055a811/resume,Toronto,Ontario,,Canada,linkedin,2024-05-20T23:30:59.875Z,2024-05-20T23:31:00.267Z,True,True,Other Vector Programming,Yes,Other Vector Programming,NA,Winter 2025 (December 2024 - March 2025),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/emrulphy/,"Fairness, Natural language processing, Recommender systems",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True fb28519a-7cf9-46e4-9d66-1d4a1ca2cf99,guillermo.murillo@gmail.com,Guillermo,Murillo,https://talenthub.vectorinstitute.ai/profiles/4700185/view_image/1664810113649.jpeg,Data Analytics & Insights Leader,"A creative and analytical Data Analytics and Insights leader with a passion for providing solutions through insights. 12+ years of experience in designing, planning, and implementing large-scale technology transformation projects across the US, Canada, APAC and Latin America. A knack for utilizing the latest technology to optimize and streamline business processes and enable organizations to thrive in saturated markets bridging business needs and technology.",4373333982,,,,https://www.linkedin.com/in/guillermomurillo/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/fb28519a-7cf9-46e4-9d66-1d4a1ca2cf99/resume,Toronto,Ontario,,Canada,linkedin,2024-05-20T16:19:08.886Z,2024-05-20T16:19:09.344Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/guillermomurillo/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True f6c84c39-4638-4cfe-a612-9dd60224dbc7,abaheti@uwaterloo.ca,Akshat,Baheti,https://talenthub.vectorinstitute.ai/profiles/4697088/view_image/1715311606934.jpeg,Data and Cloud Enthusiast,,5485771841,,,,https://www.linkedin.com/in/akshatbaheti/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f6c84c39-4638-4cfe-a612-9dd60224dbc7/resume,Waterloo,Ontario,,Canada,linkedin,2024-05-20T04:51:08.507Z,2024-05-23T03:08:31.524Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/akshatbaheti/,"AI safety, Computer vision, Data science, Deep learning, Machine learning, Meta-learning, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True @@ -671,7 +673,7 @@ b83d7542-ad74-4b42-885b-a2a4c55799be,brigitte.a.sullivan@gmail.com,Brigitte,Sull 9b5137d6-6923-44e6-b907-3eefa5b2c856,jd.scantlebury@hotmail.com,Joshua,Scantlebury,https://talenthub.vectorinstitute.ai/profiles/4410033/view_image/1630508390293.jpeg,,,,,,,https://www.linkedin.com/in/joshuadscantlebury/,,True,False,,,,,,linkedin,2024-03-16T00:26:01.590Z,2024-03-16T00:26:02.042Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/joshuadscantlebury/,,,,,,,,,True,False,True,True 27dc8f63-c0f7-48c5-b13f-ced79fa178d5,roberthaywesley@gmail.com,Robert,Wesley,https://talenthub.vectorinstitute.ai/profiles/4409352/view_image/1694127336281.jpeg,Full-Stack Software Developer,"Enthusiastic and thoughtful full-stack developer with 4+ years of experience designing and implementing enterprise software projects. Competent in full software development lifecycle. Recognized for ability to quickly master new languages, frameworks and tools in order to track changing project requirements. High technical proficiency and cross-functional collaboration skills from 3+ years of teaching logic and mathematics at a university level.",6478629321,,,,https://www.linkedin.com/in/roberthaywesley/,,True,False,,Toronto,Ontario,,Canada,linkedin,2024-03-15T17:59:24.216Z,2024-03-15T17:59:24.590Z,False,False,Not Affiliated with Vector,No,Vector Faculty or Faculty Affiliate,Caroline Wesley,Already Graduated,,Mr.,https://www.linkedin.com/in/roberthaywesley/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Philosophy,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Co-op, Contract","Machine Learning Engineer, Product/Project Manager, Software Engineer",Other,True,False,True,True 8f8dea1e-13d4-42d4-b7ad-666eb7a12c51,carolnguyen110@gmail.com,Ngoc Minh Chi,Nguyen,https://talenthub.vectorinstitute.ai/profiles/4405283/view_image/1634437254270.jpeg,,,,,,,https://www.linkedin.com/in/nnminhchi/,,True,False,,,,,,linkedin,2024-03-14T15:03:12.629Z,2024-03-14T15:03:13.050Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nnminhchi/,,,,,,,,,True,False,True,True -a9beb8c7-8579-4497-90cc-44a671b5f9f5,amarpreetgurmpec7@gmail.com,Amarpreet,Kaur,https://talenthub.vectorinstitute.ai/profiles/4398271/view_image/1705070285775.jpeg,Machine Learning Associate | Research Assistant | Data Scientist | Machine Learning Engineer | Data Analyst | AI Specialist,"Innovative professional specializing in machine learning, reinforcement learning, and natural language processing (NLP). Proficient in developing advanced algorithms and models to extract actionable insights from complex datasets. Skilled in leveraging AI techniques to enhance decision-making processes and drive business outcomes. Experienced in applying NLP methodologies to extract meaningful information from unstructured data. Excels in collaborative environments, driving innovation and delivering transformative solutions to meet business needs.",4383345893,,,,https://www.linkedin.com/in/amarpreet-kaur-gurm-5b558766/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a9beb8c7-8579-4497-90cc-44a671b5f9f5/resume,,,,Canada,linkedin,2024-03-12T17:31:53.959Z,2024-10-14T05:57:12.978Z,True,True,Recognized Masters Program,Yes,Vector Faculty or Faculty Affiliate,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/amarpreet-kaur-gurm-5b558766/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics (MSc),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Toronto Metropolitan University,True,True,True,True +a9beb8c7-8579-4497-90cc-44a671b5f9f5,amarpreetgurmpec7@gmail.com,Amarpreet,Kaur,https://talenthub.vectorinstitute.ai/profiles/4398271/view_image/1705070285775.jpeg,Machine Learning Associate | Research Assistant | Data Scientist | Machine Learning Engineer | Data Analyst | AI Specialist,"Innovative professional specializing in machine learning, reinforcement learning, and natural language processing (NLP). Proficient in developing advanced algorithms and models to extract actionable insights from complex datasets. Skilled in leveraging AI techniques to enhance decision-making processes and drive business outcomes. Experienced in applying NLP methodologies to extract meaningful information from unstructured data. Excels in collaborative environments, driving innovation and delivering transformative solutions to meet business needs.",4383345893,,,,https://www.linkedin.com/in/amarpreet-kaur-gurm-5b558766/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a9beb8c7-8579-4497-90cc-44a671b5f9f5/resume,,,,Canada,linkedin,2024-03-12T17:31:53.959Z,2024-10-15T01:01:46.068Z,True,True,Recognized Masters Program,Yes,Vector Faculty or Faculty Affiliate,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/amarpreet-kaur-gurm-5b558766/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics (MSc),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Toronto Metropolitan University,True,True,True,True db8fdc69-31da-46de-8b89-8425543cf12b,bfelfeliyan92@gmail.com,Banafshe,Felfeliyan,https://talenthub.vectorinstitute.ai/profiles/4394568/view_image/1648244737040.jpeg,Machine Learning Scientist,,5874326440,,,,https://www.linkedin.com/in/banafshe-felfeliyan/,,False,False,,Toronto,Ontario,,Canada,linkedin,2024-03-11T17:21:20.632Z,2024-05-08T18:26:54.085Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/banafshe-felfeliyan/,"Computational biology, Computer vision, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True b42b9b4e-9942-41c3-a75c-3970f16470a2,livia.markham@gmail.com,Olivia,Markham,https://talenthub.vectorinstitute.ai/profiles/4392171/view_image/1694567619405.jpeg,,,,,,,https://www.linkedin.com/in/omarkham/,,True,False,,,,,,linkedin,2024-03-11T01:19:08.735Z,2024-03-11T01:19:09.259Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/omarkham/,,,,,,,,,True,False,True,True e52f83b4-f9ae-465b-8062-e785ebe5b605,aysha.kamal7@gmail.com,Aisha,Khatun,https://talenthub.vectorinstitute.ai/profiles/4389747/view_image/1574420334109.jpeg,Data Scientist,"Hi! I am Aisha Khatun. I work with AI, ML, and everything Data! As a graduate NLP researcher, I analyze the capabilities and limitations of Large Language Models (LLM) in answering questions about sensitive topics and instruction following abilities. I am passionate about AI and have experience solving complex problems by applying ML techniques and extracting valuable information through data analysis.",+1 226 899 8911,,https://tanny411.github.io/,,https://www.linkedin.com/in/tanny411/,a2khatun,False,False,https://canadaai.jobboard.io/api/v1/profiles/e52f83b4-f9ae-465b-8062-e785ebe5b605/resume,Kitchener,Ontario,,Canada,linkedin,2024-03-10T01:33:10.766Z,2024-08-30T14:14:26.789Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/tanny411/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True @@ -766,7 +768,7 @@ a677189a-0191-4069-853e-d4d0c08eed97,rodrigo.daguila@gmail.com,Rodrigo,Del Aguil 4a003d24-413f-4726-abb3-c0d4a1ca2d97,currancmac@gmail.com,Curran,MacDonald,https://talenthub.vectorinstitute.ai/profiles/4290415/view_image/1697067580866.jpeg,,,,,,,https://www.linkedin.com/in/curran-macdonald-b9a5ba1a5/,,True,False,,,,,,linkedin,2024-02-09T19:40:51.761Z,2024-02-09T19:40:52.274Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/curran-macdonald-b9a5ba1a5/,,,,,,,,,True,False,True,True 76c65030-267e-48d7-9fe1-c431091cf5a5,suvarna.kadam@gmail.com,Suvarna,Kadam,https://talenthub.vectorinstitute.ai/profiles/4286380/view_image/1604725103538.jpeg,CV/ML Researcher,,,,,,https://www.linkedin.com/in/suvarna-kadam-a3191613/,,True,False,,,,,,linkedin,2024-02-08T16:16:02.564Z,2024-02-08T16:16:03.082Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Winter 2023 (December 2022 - March 2023),"I I am not associated yet in any role with Vector institute, but I am looking for a work opportunity through the talent hub.",Dr.,https://www.linkedin.com/in/suvarna-kadam-a3191613/,"Computer vision, Few-shot learning, Generative modeling",Postgraduate Degree (PhD),Senior Level (5+ Years),CS,,"Full Time, Contract","Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,True,True,True 473633e3-e0a8-4bbd-938a-3409f74e7060,matthiaslmz@gmail.com,Matthias,Lee,https://talenthub.vectorinstitute.ai/profiles/4284108/view_image/1646550679397.jpeg,Data Scientist III (NLP) | AI Research,IImproving Customer Service with ML/AI one step at a time. ,,,,,https://www.linkedin.com/in/leematthias/,,True,False,,Vancouver,British Columbia,,Canada,linkedin,2024-02-08T03:58:37.511Z,2024-02-08T03:58:37.897Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Not a member of Vector,Mr.,https://www.linkedin.com/in/leematthias/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,"Retail, Telecommunications",Full Time,"Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True -765b2bf7-c02f-4325-803d-fdef1bcae96a,wahaj.ahmed@torontomu.ca,Syed Wahaj,Ahmed,https://talenthub.vectorinstitute.ai/profiles/4284056/view_image/Ahmed_Digital_Picture.jpg,AI Practitioner,,648904692,,https://github.com/Wahaj-Ahmed/,,https://www.linkedin.com/in/syed-wahaj-ahmed-9a498019b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/765b2bf7-c02f-4325-803d-fdef1bcae96a/resume,Toronto,Ontario,,Canada,,2024-02-08T03:10:23.342Z,2024-09-23T23:39:27.347Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/syed-wahaj-ahmed-9a498019b/,"Generative modeling, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Engineering (AI Specialization),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer",Ryerson University,True,True,True,True +765b2bf7-c02f-4325-803d-fdef1bcae96a,wahaj.ahmed@torontomu.ca,Syed Wahaj,Ahmed,https://talenthub.vectorinstitute.ai/profiles/4284056/view_image/Ahmed_Digital_Picture.jpg,AI Practitioner,"Data Scientist with expertise in Data Collection pipelines & Analytics, NLP, Deep Learning, Cloud ML deployment. Able to plan, communicate & deliver a comprehensive client value generating end-to-end ML platform to extract insights and drive business growth.",648904692,,https://github.com/Wahaj-Ahmed/,,https://www.linkedin.com/in/syed-wahaj-ahmed-9a498019b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/765b2bf7-c02f-4325-803d-fdef1bcae96a/resume,Toronto,Ontario,,Canada,,2024-02-08T03:10:23.342Z,2024-10-23T23:57:24.887Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/syed-wahaj-ahmed-9a498019b/,"Generative modeling, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Engineering (AI Specialization),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer",Toronto Metropolitan University,True,True,True,True f49f3345-8b60-4c10-b6d3-a62f20102b14,connerjf03@gmail.com,Conner,Fransoo,https://talenthub.vectorinstitute.ai/profiles/4283311/view_image/1672807003103.jpeg,,,,,,,https://www.linkedin.com/in/connerfransoo/,,True,False,,,,,,linkedin,2024-02-07T19:45:31.802Z,2024-02-07T19:45:32.199Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/connerfransoo/,,,,,,,,,True,True,True,True 418fb846-4480-45f8-8c24-6c02402bd2fd,18zjvz@queensu.ca,Zaais,van Zyl,https://talenthub.vectorinstitute.ai/profiles/4278161/view_image/1701270836886.jpeg,,,,,,,https://www.linkedin.com/in/zaais-van-zyl/,,True,False,,,,,,linkedin,2024-02-06T12:24:51.102Z,2024-02-06T12:24:51.541Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zaais-van-zyl/,,,,,,,,,True,False,True,True 216b51c7-9691-4dd1-bb6f-1f7d7fc74aec,johnscottmcgregor@gmail.com,Scott,McGregor,https://talenthub.vectorinstitute.ai/profiles/4275028/view_image/1674557415103.jpeg,Oracle Cloud PreSales | Customer Success Services | Managed Cloud | SailGP Canada,"Customer Success Services, Consulting, Business Development, Solution Sales, including over 25 years of PreSales Solution Management Leadership with Oracle. Supporter of Tech Startup Community in Toronto, Oracle Racing America's Cup Marketing, Fundraising for Olympic Athletes & SailGP Canada.",4164009850,,,,https://www.linkedin.com/in/jscottmcgregor1/,,True,False,,Oakville,Ontario,,Canada,linkedin,2024-02-05T15:32:36.964Z,2024-02-05T15:32:37.500Z,False,False,Not Affiliated with Vector,No,Unsure,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/jscottmcgregor1/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Kinesiology & Georgraphy,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Product/Project Manager",Western University,True,True,True,True @@ -975,7 +977,7 @@ Optimization, Metaheuristics and Hybrid Metaheuristics.",+55 31 9 9779 4692,,,,h 6617dff3-366e-47fd-bd0e-4eddbebbb651,kammamme@ualberta.ca,Sanjula,Kammammettu,https://talenthub.vectorinstitute.ai/profiles/3817783/view_image/1684843856449.jpeg,,,,,,,https://www.linkedin.com/in/sanjula-kammammettu/,,True,False,,,,,,linkedin,2023-10-05T15:50:25.501Z,2023-10-05T15:50:26.049Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sanjula-kammammettu/,,,,,,,,,True,False,True,True da007d29-344f-4abc-ac82-fb02cdfdb0f5,dmullick95@gmail.com,Dhruv,Mullick,https://talenthub.vectorinstitute.ai/profiles/3815357/view_image/1677127054415.jpeg,,,,,,,https://www.linkedin.com/in/dhruvmullick/,,True,False,,,,,,linkedin,2023-10-04T21:32:19.722Z,2023-10-04T21:32:20.194Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dhruvmullick/,,,,,,,,,True,True,True,True 64507f2b-46d9-4850-9b01-3e2f733800b0,apmdxo@gmail.com,Anthony,DaCosta,https://talenthub.vectorinstitute.ai/profiles/3815232/view_image/1693593112296.jpeg,,,,,,,https://www.linkedin.com/in/anthony-dacosta-97326358/,,True,False,,,,,,linkedin,2023-10-04T20:15:04.670Z,2023-10-04T20:15:05.169Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/anthony-dacosta-97326358/,,,,,,,,,True,True,True,True -8f63cd97-586f-412b-ba3d-66c680d8d784,callrmshetty@gmail.com,Rakshit,Shetty,https://talenthub.vectorinstitute.ai/profiles/3815117/view_image/1640490387656.jpeg,"Machine Learning Engineer experienced in Generative Models, Computer Vision and LLM",,+15148124034,,,,https://www.linkedin.com/in/rakshitshetty99/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8f63cd97-586f-412b-ba3d-66c680d8d784/resume,Montreal,Quebec,,Canada,linkedin,2023-10-04T19:22:08.168Z,2024-10-21T19:45:43.475Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rakshitshetty99/,"Adversarial learning, Bayesian methods, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Robotics, Statistical learning theory, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +8f63cd97-586f-412b-ba3d-66c680d8d784,callrmshetty@gmail.com,Rakshit,Shetty,https://talenthub.vectorinstitute.ai/profiles/3815117/view_image/1640490387656.jpeg,"Machine Learning Engineer experienced in Generative Models, Computer Vision and LLM",,+15148124034,,,,https://www.linkedin.com/in/rakshitshetty99/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8f63cd97-586f-412b-ba3d-66c680d8d784/resume,Montreal,Quebec,,Canada,linkedin,2023-10-04T19:22:08.168Z,2024-10-23T09:09:36.329Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rakshitshetty99/,"Adversarial learning, Bayesian methods, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Robotics, Statistical learning theory, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True c122e233-a01d-4496-adb0-6764086bc6d9,arnoldliwanag@gmail.com,Arnold,Liwanag,https://talenthub.vectorinstitute.ai/profiles/3811406/view_image/IMG_2802.jpeg,Experienced executive ,"Arnold is a seasoned executive and thought leader in the field of artificial intelligence. He served as CTO at multiple AI startups and was the AI Strategy and Transformation practice lead at PwC/ Strategy&. He also held technical leadership positions at Scale AI, Hewlett Packard and Sybase. He is a talented and coveted speaker at industry events that include CogX, Elevate Toronto and AI4. Most recently, Arnold served as the CTO at TealBook, a SaaS company that leverages AI to be the trusted source of B2B supplier data, and IVADO Labs, a software consulting firm focused on AI-driven supply chain solutions, where he helped enterprises (like Circle K, Goldman Sachs, S&P, Nasdaq, Bombardier, Air Canada, Roche, etc) apply AI solutions to drive tangible business outcomes. - Built AI teams: inspiring leader who can attract, develop and retain top AI talent @@ -1026,7 +1028,7 @@ a9c1ad55-ef3f-4960-a017-131498184366,raj.vijayaraj@mail.utoronto.ca,RAJ,KRISHNAN My industry experience includes roles at BAT and Robi Axiata, along with leadership positions at IEEE. I hold a Master of Engineering in Electrical and Computer Engineering from Toronto Metropolitan University, with research publications in AI-driven satellite image analysis. ",4374452410,,,,https://www.linkedin.com/in/protikmukherjee/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4035829c-8822-4cbd-9db3-386b0b1f4e0c/resume,Toronto,Ontario,,Canada,,2023-09-21T23:09:14.329Z,2024-04-12T15:21:34.705Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/protikmukherjee/,"Anomaly detection, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering (AI concentration),"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Toronto Metropolitan University,True,False,True,True 9584aa4c-4bc1-4154-9b3f-c5c68c92ec88,zhsn@yorku.ca,Zahra,Hosseini,https://talenthub.vectorinstitute.ai/profiles/3777039/view_image/photo_2023-09-25_10-52-07.jpg,Graduate Reseacher,,4375182407,,https://zahrahosseini99.github.io/,,https://www.linkedin.com/in/zahra-hosseini-174663174/,zhsn99,True,False,https://canadaai.jobboard.io/api/v1/profiles/9584aa4c-4bc1-4154-9b3f-c5c68c92ec88/resume,Toronto,Ontario,,Canada,,2023-09-21T23:09:13.854Z,2023-09-25T14:59:55.967Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Kosta Derpanis,Spring/Summer 2024 (April - July),Vector Faculty Affiliate Researcher,Ms.,https://www.linkedin.com/in/zahra-hosseini-174663174/,"Computer vision, Data science, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science in Electrical and Computer Engineering,"Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -adeafc3b-f3f6-4e44-9d1d-da7e45e47d98,ahmad.rm@dal.ca,Ahmad,Rezaie Mianroodi,https://talenthub.vectorinstitute.ai/profiles/3777028/view_image/linkedin.jpeg,CS PhD Student | AI Researcher at Dalhousie University,,7824090377,,,,https://www.linkedin.com/in/ahmad-rezaie-mianroodi-1a5698151/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/adeafc3b-f3f6-4e44-9d1d-da7e45e47d98/resume,Halifax,Nova Scotia,,Canada,,2023-09-21T23:09:12.768Z,2024-09-28T22:56:09.376Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Other/Undetermined,,Mr.,https://www.linkedin.com/in/ahmad-rezaie-1a5698151/,"Data science, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Education, Health, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +adeafc3b-f3f6-4e44-9d1d-da7e45e47d98,ahmad.rm@dal.ca,Ahmad,Rezaie Mianroodi,https://talenthub.vectorinstitute.ai/profiles/3777028/view_image/linkedin.jpeg,CS PhD Student | AI Researcher at Dalhousie University,,7824090377,,,,https://www.linkedin.com/in/ahmad-rezaie-mianroodi-1a5698151/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/adeafc3b-f3f6-4e44-9d1d-da7e45e47d98/resume,Halifax,Nova Scotia,,Canada,,2023-09-21T23:09:12.768Z,2024-10-01T15:08:47.259Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Other/Undetermined,,Mr.,https://www.linkedin.com/in/ahmad-rezaie-1a5698151/,"Data science, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Education, Health, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 1a6aba1f-2794-4a59-bb97-d0e5a06c88fe,shivesh.prakash@mail.utoronto.ca,Shivesh,Prakash,https://talenthub.vectorinstitute.ai/profiles/3777026/view_image/Photo_-_Passport.jpeg,DSI SUDS Scholar | Researching ML at UofT | ML Project Lead at FINCH Satellite Mission,"Passionate and dedicated undergraduate student at the University of Toronto, specializing in Computer Science. With a strong foundation in courses such as Computer Science, Calculus, Linear Algebra, and Physics, I am constantly expanding my knowledge and skills in the field. In the future, my goal is to leverage my knowledge in Machine Learning and AI to address real-life challenges. I am particularly passionate about employing AI in computational imagery, medical prognosis, and education. By conducting innovative research and applying AI techniques to solve complex problems, I aim to make a meaningful impact in these areas.",6473218915,,https://shivesh777.github.io/,,https://www.linkedin.com/in/shivesh777,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1a6aba1f-2794-4a59-bb97-d0e5a06c88fe/resume,Toronto,Ontario,,Canada,,2023-09-21T23:09:12.459Z,2023-09-22T15:09:45.390Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,David Lindell,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/shivesh777,"Bioinformatics, Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),HBSc in Computer Science,"Education, Health, Professional Services (e.g Consulting), Software","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True @@ -1057,7 +1059,7 @@ Data Analytics, Machine Learning.",,,,,https://www.linkedin.com/in/kamali-cfa/,, eed37e54-e044-4b54-9e97-2a3f6ef21647,tiancharles.yu@mail.utoronto.ca,Tian,Yu,https://talenthub.vectorinstitute.ai/profiles/3776906/view_image/Tian_Yu.JPG,,,,,,,https://www.linkedin.com/in/tiancharlesyu/,,True,False,,Toronto,Ontario,,Canada,,2023-09-21T23:08:57.700Z,2024-01-03T21:18:19.271Z,False,False,Vector Scholarship Nominee,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/tiancharlesyu/,"Adversarial learning, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Co-op,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True 887413e5-12ed-406b-b4d0-4eecebc76a0b,andreas.burger@mail.utoronto.ca,Andreas,Burger,https://talenthub.vectorinstitute.ai/profiles/3776888/view_image/pf_zeb_headshot_small.JPG,PhD in Computer Science,"PhD in Computer Science, Masters in Physics. From Vienna, Austria.",+1 437 663 5548,,https://andreas-burger.com,,https://www.linkedin.com/in/andreas-burger/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/887413e5-12ed-406b-b4d0-4eecebc76a0b/resume,Toronto,Ontario,,Canada,,2023-09-21T23:08:55.280Z,2023-09-22T14:14:02.263Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nandita Vijaykumar,Other/Undetermined,,Mr.,https://www.linkedin.com/in/andreas-burger/,"Computer vision, Deep learning, Generative modeling, Machine learning, Robotics, Self-supervised learning, Unsupervised learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,False,True,True -3f16d6ba-6501-4d8d-8e81-4e176b405e89,vkpriya@cs.toronto.edu,Krishnapriya,Vishnubhotla,https://talenthub.vectorinstitute.ai/profiles/3776886/view_image/my_face.jpg,PhD Graduate,"I graduated in June 2024 with a PhD in Computer Science from the University of Toronto, where I was part of the Computational Linguistics group, supervised by Graeme Hirst and Frank Rudzicz. My PhD projects focused on modelling variation in language use as a function of speaker identity, a research area that falls at the intersection of natural language processing, sociolinguistics, and psycholinguistics. I am interested in leveraging large text datasets to better understand how facets of individual identity and communicative goals affect the ways in which information is conveyed via language, and how this knowledge can help us build more reliable and helpful AI agents",,,https://priya22.github.io/,,https://www.linkedin.com/in/krishnapriya-v/,KrishnapriyaVi5,False,False,https://canadaai.jobboard.io/api/v1/profiles/3f16d6ba-6501-4d8d-8e81-4e176b405e89/resume,Toronto,Ontario,,Canada,,2023-09-21T23:08:55.063Z,2024-09-19T21:04:26.153Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Ms.,https://www.linkedin.com/in/krishnapriya-v/,"AI safety, Data science, Deep learning, Fairness, Interpretability, Machine learning, Natural language processing, Representation learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Computer Science,"Education, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +3f16d6ba-6501-4d8d-8e81-4e176b405e89,vkpriya@cs.toronto.edu,Krishnapriya,Vishnubhotla,https://talenthub.vectorinstitute.ai/profiles/3776886/view_image/my_face.jpg,PhD Graduate,"I graduated with a PhD in Computer Science from the University of Toronto, where I was part of the Computational Linguistics group, supervised by Graeme Hirst and Frank Rudzicz. My PhD projects focused on modelling variation in language use as a function of speaker identity, a research area that falls at the intersection of natural language processing, sociolinguistics, and psycholinguistics. I am interested in leveraging large text datasets to better understand how facets of individual identity and communicative goals affect the ways in which information is conveyed via language, and how this knowledge can help us build more reliable and helpful AI agents",,,https://priya22.github.io/,,https://www.linkedin.com/in/krishnapriya-v/,KrishnapriyaVi5,False,False,https://canadaai.jobboard.io/api/v1/profiles/3f16d6ba-6501-4d8d-8e81-4e176b405e89/resume,Toronto,Ontario,,Canada,,2023-09-21T23:08:55.063Z,2024-09-20T04:12:08.057Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Ms.,https://www.linkedin.com/in/krishnapriya-v/,"AI safety, Data science, Deep learning, Fairness, Interpretability, Machine learning, Natural language processing, Representation learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Computer Science,"Education, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True bfc42c54-d13d-47f5-b834-3c3a50a7eebd,oleksii.tsepa@mail.utoronto.ca,Oleksii,Tsepa,https://talenthub.vectorinstitute.ai/profiles/3776882/view_image/medium-56.jpg,,,6478794301,,,,https://www.linkedin.com/in/oleksii-tsepa/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bfc42c54-d13d-47f5-b834-3c3a50a7eebd/resume,Toronto,Ontario,,Canada,,2023-09-21T23:08:54.591Z,2023-09-22T14:48:01.019Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Bo Wang,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/oleksii-tsepa/,"Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True e1b9f5c7-37c0-40d6-9fae-a531344f3abf,ziwen.han@mail.utoronto.ca,Ziwen,Han,https://talenthub.vectorinstitute.ai/profiles/3776881/view_image/profile_pic.png,LLMs!,"Large language model researcher at Vector Institute. Co-first author of automatic prompt engineer @ ICLR 2023. @@ -1570,7 +1572,7 @@ fcd6e412-e7e0-414b-a7c6-c0a81055c012,ziyanwang1105@gmail.com,Ziyan,Wang,https:// 98be9fdb-2977-4607-8f0b-d5dc1d2001ad,jaredgates1300@gmail.com,Jared,Gates,https://talenthub.vectorinstitute.ai/profiles/3400542/view_image/1679087546915.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-17T02:05:26.793Z,2023-04-17T02:05:27.141Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True 6910a001-91da-4bda-bdf8-234644faa8f8,seria.medard.pge2018@gmail.com,Medard,SERIA,https://talenthub.vectorinstitute.ai/profiles/3398662/view_image/1681567788687.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-15T14:50:37.779Z,2023-04-15T14:50:38.162Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/medard-seria-a81672187/,,,,,,,,,True,True,True,True ac34f2cf-0c1a-4643-82b1-3fa7ca6cfbb7,dev.zarnasharma@gmail.com,Zarna,Grundy,https://talenthub.vectorinstitute.ai/profiles/3397569/view_image/1602944901386.jpeg,Web & iOS Developer,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac34f2cf-0c1a-4643-82b1-3fa7ca6cfbb7/resume,Barrie,Ontario,,Canada,linkedin,2023-04-15T00:01:58.278Z,2023-04-15T00:01:58.718Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning student,Mrs.,https://www.linkedin.com/in/zarnasharma/,,Graduate Degree (Masters),Senior Level (5+ Years),Neurobiology (Life Sciences),"Education, Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Other,True,True,True,True -0914c6e5-41da-41b0-852b-170e9111086c,hagerghouma@gmail.com,Hager,Ghouma,https://talenthub.vectorinstitute.ai/profiles/3396765/view_image/1675176889638.jpeg,,,,,https://github.com/HGhouma?tab=repositories,,https://www.linkedin.com/in/hager-ghouma-418b47163/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0914c6e5-41da-41b0-852b-170e9111086c/resume,Mississauga,Ontario,,Canada,linkedin,2023-04-14T13:54:49.279Z,2023-06-20T17:27:15.679Z,False,False,Other Vector Programming,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mrs.,https://www.linkedin.com/in/hager-ghouma-418b47163/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Education, Health, Software, Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True +0914c6e5-41da-41b0-852b-170e9111086c,hagerghouma@gmail.com,Hager,Ghouma,https://talenthub.vectorinstitute.ai/profiles/3396765/view_image/1675176889638.jpeg,,,,,https://github.com/HGhouma?tab=repositories,,https://www.linkedin.com/in/hager-ghouma-418b47163/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0914c6e5-41da-41b0-852b-170e9111086c/resume,Mississauga,Ontario,,Canada,linkedin,2023-04-14T13:54:49.279Z,2023-11-27T19:01:08.862Z,True,False,Other Vector Programming,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mrs.,https://www.linkedin.com/in/hager-ghouma-418b47163/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Education, Health, Software, Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Toronto Metropolitan University,True,True,True,True 4ddbf6aa-a434-4901-bbee-32b6226deb73,janebroomfield42@gmail.com,Jane,Broomfield,https://talenthub.vectorinstitute.ai/profiles/3395678/view_image/me_jb.jpg,Experienced IT Professional,"When it comes to my work, my strength is being able to gather information, analyze and digest it and then, provide answers and solutions for all types of requests and problems which are realistic. sustainable and understandable by all. The following skills allow me to fill many roles in an organisation: @@ -2295,7 +2297,7 @@ I completed my undergraduate studies in Computer Science at the Pune Institute o Growing up as a sci-fi movie aficionado, I was continuously intrigued by the advanced technology portrayed in them. However, with diverse professional and academic experience under my belt, this time around, I am able to comprehend the interplay of various technologies in AI, Machine Learning, and Software Industry that make these technological evolutions a possibility. Feel free to connect and check my portfolio here: https://khairnardevashish.netlify.app/",+1 6476182631,,https://khairnardevashish.netlify.app/,,https://www.linkedin.com/in/devashishkhairnar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4a34ccba-3c7e-4fea-90d6-da2b380c3287/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:55.718Z,2023-11-09T23:58:32.918Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/devashishkhairnar/?originalSubdomain=in,,Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Applied Computing,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Toronto,True,False,True,True -d7627b80-e620-4b00-8855-bec8395dc0fe,realwen.xu@mail.utoronto.ca,Wen,Xu,https://talenthub.vectorinstitute.ai/profiles/2994393/view_image/profilephoto.jpg,,"I am a third-year PhD student in ECE at UofT, focusing on optimization, machine learning, and networks.",4373612921,,,,https://www.linkedin.com/in/wenxu94/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d7627b80-e620-4b00-8855-bec8395dc0fe/resume,,,,,,2022-09-09T12:59:55.412Z,2024-07-28T17:23:34.086Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Winter 2025 (December 2024 - March 2025),Vector Institute Intern (Applied Machine Learning),Mr.,https://www.linkedin.com/in/wenxu94/,"Machine learning, Online learning, Optimization",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Electrical and Computer Engineering,"Software, Technology (Information and Media), Telecommunications","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +d7627b80-e620-4b00-8855-bec8395dc0fe,realwen.xu@mail.utoronto.ca,Wen,Xu,https://talenthub.vectorinstitute.ai/profiles/2994393/view_image/profilephoto.jpg,,"I am a third-year PhD student in ECE at UofT, focusing on optimization, machine learning, and networks.",4373612921,,,,https://www.linkedin.com/in/wenxu94/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d7627b80-e620-4b00-8855-bec8395dc0fe/resume,,,,,,2022-09-09T12:59:55.412Z,2024-08-07T02:47:42.156Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Winter 2025 (December 2024 - March 2025),Vector Institute Intern (Applied Machine Learning),Mr.,https://www.linkedin.com/in/wenxu94/,"Machine learning, Online learning, Optimization",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Electrical and Computer Engineering,"Software, Technology (Information and Media), Telecommunications","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True 6fda9649-c126-4cc0-8e2c-0cbe413e27e4,sangwook.kim@mail.utoronto.ca,Sangwook,Kim,https://talenthub.vectorinstitute.ai/profiles/2994387/view_image/sangwookKim.jpeg,,,,,,,https://www.linkedin.com/in/swkim95/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6fda9649-c126-4cc0-8e2c-0cbe413e27e4/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:54.649Z,2022-09-09T13:38:34.610Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chris McIntosh,Other/Undetermined,,Mr.,https://www.linkedin.com/in/swkim95/?originalSubdomain=ca,"Computer vision, Healthcare and/or medical imaging, Meta-learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Medical Biophysics,Health,Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True ead987ac-ed7b-4762-8394-acd08e29375a,maazsaad1440@gmail.com,Maaz,Saad,https://talenthub.vectorinstitute.ai/profiles/2993660/view_image/1660387735021.jpeg,Machine Learning Engineer,I have a Master's degree in Business Analytics & AI and I am currently interning as a machine learning engineer in the healthcare industry. I have a successful track record in the field of data analytics with over 3 years of professional work experience. I am actively seeking a full-time role in the field of business analytics or data science to leverage my skills and experience to make an impactful contribution in this field.,2899433957,,,,https://www.linkedin.com/in/maaz-saad-749757129/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ead987ac-ed7b-4762-8394-acd08e29375a/resume,Oshawa,Ontario,,Canada,linkedin,2022-09-09T00:29:38.820Z,2023-09-06T20:31:30.481Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/maaz-saad-749757129/,"AI safety, Anomaly detection, Computer vision, Data science, Deep learning, Machine learning, Recommender systems, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics & AI,"Financial Services, Health, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True 9fbe03de-e910-44b7-877b-687e7b094532,mabel.myuan@gmail.com,Mei (Mabel),Yuan,https://talenthub.vectorinstitute.ai/profiles/2993592/view_image/1637780359975.jpeg,Master of Health Informatics student,"I am a Master of Health Informatics candidate at the University of Toronto. I am passionate about bringing technology into the healthcare space to create a patient-centred ecosystem to address issues of inequality surrounding access to healthcare in Canada. @@ -2389,9 +2391,9 @@ ac24833e-6169-4385-8324-6f3957429fbd,buracov.r@gmail.com,Roman,Burakov,https://t 6e6267c9-71e9-4250-acb8-bfa633c98564,ganeshg2208@outlook.com,Ganesh,G,https://talenthub.vectorinstitute.ai/profiles/2953581/view_image/1577417651171.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-15T02:01:52.225Z,2022-08-15T02:01:52.661Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True 76504af9-563a-47d8-9c43-fc1776972085,aliramish76@gmail.com,Ali,Raamish,https://talenthub.vectorinstitute.ai/profiles/2953515/view_image/1593697657282.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-15T00:04:43.058Z,2022-08-15T00:04:43.578Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ali-raamish/,,,,,,,,,,,, 3a350cfb-eaca-40c4-89ef-9dab9c690fb4,skris064@uottawa.ca,Saranya,Krishnasami,https://talenthub.vectorinstitute.ai/profiles/2949462/view_image/1596396969974.jpg,Graduate student in Artificial Intelligence at University of Ottawa with diverse 8 yrs of experience as Lead System Integration Engineer in Microsoft technologies in many leading domains,"An experienced, disciplined, and highly motivated Agile Software Programs Engineer specialized in Data Analytics, Data Architecture & Design, Data Integration, development, and Maintenance Support. I currently pursuing my Master degree from University of Ottawa specialization in AI that will enable career growth in the field of AI and my overall skill set enhancement.",3439872620,,,,https://ca.linkedin.com/in/saranya-krishnasami-balaji-1158948b,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a350cfb-eaca-40c4-89ef-9dab9c690fb4/resume,Ottawa,Ontario,,Canada,,2022-08-11T17:59:17.829Z,2023-01-17T20:57:13.022Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mrs.,https://www.linkedin.com/in/saranya-balaji-1158948b,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science Appl. Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True -842daab4-9507-4695-ab4b-40221c7cceef,raksha.begwani@ontariotechu.net,Raksha,Begwani,https://talenthub.vectorinstitute.ai/profiles/2949461/view_image/Imge-toptal.jpg,IT Security & ML,"Hello, I recently graduated from the MITS-AI program at OTU. I bring over 10 years of experience in IT, with a strong focus on Microsoft products such as SharePoint, O365, and content migration. I also have a solid background in resource and vendor management for IT projects. +842daab4-9507-4695-ab4b-40221c7cceef,raksha.begwani@ontariotechu.net,Raksha,Begwani,https://talenthub.vectorinstitute.ai/profiles/2949461/view_image/linkedin.jpeg,IT Security & ML,"Hello, I recently graduated from the MITS-AI program at OTU. I bring over 10 years of experience in IT, with a strong focus on Microsoft products such as SharePoint, O365, and content migration. I also have a solid background in resource and vendor management for IT projects. -My recent interest in IT security and machine learning has driven me to transition into the broader field of Information Security. My master's degree included in-depth courses on Machine Learning and Complex Social Network Analysis. Through these courses, I developed a strong foundation in various ML techniques, including supervised and unsupervised learning, model evaluation, and data-driven decision-making. I also explored the intricacies of analyzing and interpreting complex social networks, understanding their dynamics, and leveraging ML algorithms to uncover patterns and insights. My academic focus on these areas has equipped me with the skills to apply ML models effectively, particularly in the context of IT security (Intrusion Detection System) and other data-driven fields.I am particularly interested in opportunities within public service organizations",6478355793,,,,https://www.linkedin.com/in/raksha-begwani-315614b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/842daab4-9507-4695-ab4b-40221c7cceef/resume,,Ontario,,Canada,,2022-08-11T17:59:17.728Z,2024-08-22T18:44:28.659Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/raksha-begwani-315614b/,,Graduate Degree (Masters),Entry Level (0-2 Years),MITS - AI,,"Full Time, Co-op, Contract","Data Analyst, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True +My recent interest in IT security and machine learning has driven me to transition into the broader field of Information Security. My master's degree included in-depth courses on Machine Learning and Complex Social Network Analysis. Through these courses, I developed a strong foundation in various ML techniques, including supervised and unsupervised learning, model evaluation, and data-driven decision-making. I also explored the intricacies of analyzing and interpreting complex social networks, understanding their dynamics, and leveraging ML algorithms to uncover patterns and insights. My academic focus on these areas has equipped me with the skills to apply ML models effectively, particularly in the context of IT security (Intrusion Detection System) and other data-driven fields.",6478355793,,,,https://www.linkedin.com/in/raksha-begwani-315614b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/842daab4-9507-4695-ab4b-40221c7cceef/resume,,Ontario,,Canada,,2022-08-11T17:59:17.728Z,2024-08-27T14:37:38.741Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/raksha-begwani-315614b/,,Graduate Degree (Masters),Entry Level (0-2 Years),MITS - AI,,"Full Time, Co-op, Contract","Data Analyst, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True fc0be141-b544-4e64-80a4-89ae4248ad3f,pooya.farrokhi@gmail.com,Pooya,Farrokhi,https://talenthub.vectorinstitute.ai/profiles/2949456/view_image/Pro_profile_pic_2.jpg,Software Engineer," Software engineer with 4+ years of extensive professional experience in programming, primarily in C, C#, C++, and Python in IT sectors such as core banking, IoT, and with a recent emphasis on AI. I am an exceptionally fast learner with strong analytical thinking and problem-solving skills, which has helped me easily adapt to new workplaces and quickly progress in my career. I am a reliable, conscientious engineer, always eager to solve the most challenging problems. @@ -5071,6 +5073,10 @@ a86298c7-ff91-4847-af0c-1c8fb195b9de,tyler.hennick@gmail.com,Tyler,Hennick,https f3f91912-9124-4d1e-a99b-d3a21d887472,melissa.mccorriston@gmail.com,Melissa,McCorriston,https://talenthub.vectorinstitute.ai/profiles/1523154/view_image/0.jpeg,Data Scientist,,9055060325,,,,https://www.linkedin.com/in/mccorriston/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3f91912-9124-4d1e-a99b-d3a21d887472/resume,Richmond Hill,Ontario,,Canada,linkedin,2019-11-15T16:55:22.461Z,2020-09-22T23:02:45.107Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/mccorriston/,,Graduate Degree (Masters),Senior Level (5+ Years),Master's in Data Science & Artificial Intelligence,"Financial Services, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",University of Waterloo,True,True,True,True ea7087e9-23f4-464d-a031-b29c5b5d0710,msmjudd@hotmail.com,Melissa,"Judd, MBA",https://talenthub.vectorinstitute.ai/profiles/1510933/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-11-05T21:06:34.080Z,2019-11-05T21:06:34.367Z,False,False,Internal Staff,Yes,Other/Unsure,,,,Ms.,https://www.linkedin.com/in/melissajudd-mba/,,,,Kkk,,"Full Time, Capstone Project",,York University,,,True, 6460969a-e281-4c2c-b571-0aea034224f0,wuga214@gmail.com,Ga,Wu,https://talenthub.vectorinstitute.ai/profiles/1505154/view_image/7734865.jpeg,Machine Learning PhD,"I am going to finish my Ph.D. study at the University of Toronto in April 2020. My research focuses on Recommender Systems, Machine Learning, Deep Learning. I have around 11 publications on machine learning& AI top tier conference and 5 papers under review. I had worked for Amazon, Layer6 AI, and Shopify in the last few years as a temporary data scientist",,,,,https://www.linkedin.com/in/mrwuga/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6460969a-e281-4c2c-b571-0aea034224f0/resume,,,,,,2019-11-01T17:00:05.609Z,2020-05-07T21:35:03.027Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/mrwuga/,,Postgraduate Degree (PhD),,PhD information engineering,,Full Time,,University of Toronto,True,False,True,True +b71f212a-1abb-47a3-a565-4587c147a629,ar3moham@uwaterloo.ca,Abdul Raqeeb ,Mohammad ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2024-10-24T05:58:05.873Z,2024-10-24T05:58:05.911Z,False,False,,,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,,"Data science, Deep learning, Generative modeling",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering ( Machine Learning),"Education, Financial Services, Health, Retail, Software","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +4c24a194-ddc4-4f84-9bde-f22f69363576,yisawu0436@gmail.com,Jiayi,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4c24a194-ddc4-4f84-9bde-f22f69363576/resume,,,,,,2024-10-24T02:25:22.524Z,2024-10-24T02:25:22.562Z,False,False,,,Studying in/Graduated from a Recognized Master's Program,Western University,Other/Undetermined,,Miss.,,"Adversarial learning, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +91bb2749-e274-4e41-80fe-7fc3cb83d05e,milad.soltany@queensu.ca,Milad,Soltany,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"Data Scientist and Machine Learning Engineer with over 5 years of experience in Machine Learning, Deep Learning, and Computer Vision, with more than 200 citations in academic publications. Proven track record in developing novel models for time-series forecasting, federated learning, and computer vision, and contributing to cutting-edge research, including a pending US patent. Expert in Python, SQL, PyTorch, and cloud platforms like AWS. Experienced in teaching and mentoring, focusing on data science and ML.",6137704539,,https://miladsoltany.com/,,https://www.linkedin.com/in/milad-soltany/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/91bb2749-e274-4e41-80fe-7fc3cb83d05e/resume,Kingston,Ontario,,Canada,,2024-10-23T19:02:24.159Z,2024-10-23T19:02:24.199Z,True,True,,,Student or Postdoc of a Vector Faculty Member,,Fall 2024 (August - November),,Mr.,,"Computer vision, Data science, Generative modeling, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist",Queen's University,True,True,True,True +76165d17-5140-42b4-b71c-93c4d47dd3ee,devhkotak@gmail.com,Dev,Kotak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/76165d17-5140-42b4-b71c-93c4d47dd3ee/resume,Ottawa,Ontario,,Canada,,2024-10-23T18:06:53.538Z,2024-10-23T18:06:53.588Z,True,False,,,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,,"AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Fairness, Few-shot learning, Game theory, Gaussian processes, Generative modeling, Machine learning, Natural language processing, Optimization, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering with collaborative specialization in Data Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Carleton University,True,True,True,True 799880b7-c1ea-40cb-8426-50df11f07142,ngo.t.kien.7@gmail.com,Ngô,Kiên,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2024-10-21T20:45:26.202Z,2024-10-21T20:45:26.240Z,False,False,,,,,,,,,,,,,,,,,True,True,True,True 9c93b06e-f330-4326-9588-6c6b02e69d68,hanqizenghannanana@gmail.com,Hanqi,Zeng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2024-10-21T16:56:10.626Z,2024-10-21T16:56:10.691Z,False,False,,,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,,,Graduate Degree (Masters),Entry Level (0-2 Years),Health Data Science,"Financial Services, Health, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Data Engineer, Machine Learning Engineer",University of Toronto,True,True,True,True d4d05cd9-fac0-44ac-abdd-c8555c5c7976,yashrajmotwani52@gmail.com,Yashraj,Motwani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experience Data Scientist,,3435585312,,,,https://linkedin.com/in/yashraj-motwani-7767b5151,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d4d05cd9-fac0-44ac-abdd-c8555c5c7976/resume,Ottawa,Ontario,,Canada,,2024-10-18T17:42:54.747Z,2024-10-18T17:42:54.883Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,linkedin.com/in/yashraj-motwani-7767b5151,"Computer vision, Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,Type of Work is More Important to me than Sector,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True @@ -5137,7 +5143,7 @@ cdb8f60a-8935-46c4-8ca1-8086eeccd153,vida.adeli@mail.utoronto.ca,Vida,Adeli,http e17372aa-e2cc-45fa-88fb-81cbfc5b2197,tanvisandhu1898@gmail.com,Tanvi,Sandhu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/tanvi-sandhu-1886b098/,,True,False,,,,,,,2024-09-20T13:54:51.027Z,2024-09-20T13:54:51.062Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/tanvi-sandhu-1886b098/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Neuroscience, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Windsor,True,True,True,True 8d898410-0ba5-42dd-bc25-a240e6a28b55,debasis.jena@gmail.com,Debasis,Jena,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/debasis-jena/,,True,False,,,,,,,2024-09-20T13:12:46.657Z,2024-09-20T13:12:46.690Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/debasis-jena/,Data science,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Mangement in AI,"Professional Services (e.g Consulting), Software, Technology (Information and Media)","Full Time, Contract","Product/Project Manager, Other ",Queen's University,True,True,True,True c631ea6a-0849-4344-af1d-ef238237f5de,aoli8646@schulich.yorku.ca,Grace,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced in data analytics/ visualization/ reporting,,6478678159,,,,http://linkedin.com/in/grace-li0108,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c631ea6a-0849-4344-af1d-ef238237f5de/resume,,,,,,2024-09-20T12:51:17.384Z,2024-09-20T12:51:17.420Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,http://linkedin.com/in/grace-li0108,Statistical learning theory,Graduate Degree (Masters),Entry Level (0-2 Years),Business analyst (Schulich),"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True -9dd07ec5-33e0-4c89-b2c6-2d513e22132a,chenxu0704go@gmail.com,Chen,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Seismic Data Scientist,Two-year working experience as Seimic Data Scientist in oil industry with a master degree in Computer Science and PhD degree in Physics.,3434223317,,,,https://www.linkedin.com/in/chen-xu-7a56a7b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9dd07ec5-33e0-4c89-b2c6-2d513e22132a/resume,Kingston,Ontario,,Canada,,2024-09-20T11:59:24.988Z,2024-09-28T19:56:58.305Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Dr.,https://www.linkedin.com/in/chen-xu-7a56a7b0/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Physics,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True +9dd07ec5-33e0-4c89-b2c6-2d513e22132a,chenxu0704go@gmail.com,Chen,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Seismic Data Scientist,Two-year working experience as Seimic Data Scientist in oil industry with a master degree in Computer Science and PhD degree in Physics.,3434223317,,,,https://www.linkedin.com/in/chen-xu-7a56a7b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9dd07ec5-33e0-4c89-b2c6-2d513e22132a/resume,Kingston,Ontario,,Canada,,2024-09-20T11:59:24.988Z,2024-10-01T18:38:31.974Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Dr.,https://www.linkedin.com/in/chen-xu-7a56a7b0/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Physics,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True 67f3c495-a0dc-408a-815e-2f2d55aa916b,khushi.kmd@gmail.com,Khushi,Dave,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Health Informatics Student at the University of Toronto,,6477464304,,,,https://www.linkedin.com/in/khushidave/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/67f3c495-a0dc-408a-815e-2f2d55aa916b/resume,Toronto,Ontario,,Canada,,2024-09-20T04:25:35.035Z,2024-09-20T04:25:35.076Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Other/Undetermined,,Miss.,https://www.linkedin.com/in/khushidave/,"Healthcare and/or medical imaging, Optimization, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True 98366f51-8afb-4365-a74b-9ed44b7f182f,khushnood.ahmed8@outlook.com,Khushnud,Ahmed,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Junior Data Analyst,"Data Analyst with a strong foundation in database management, machine learning, and web development, currently pursuing a Master’s in Data Science and Analytics at Toronto Metropolitan University. Proficient in Python, SQL, and big data tools such as Apache Hadoop and Spark, with hands-on experience in predictive modeling and customer churn analysis. @@ -5147,8 +5153,8 @@ aa95d683-8fb8-4092-af0a-02e301c54af4,alimomna87@gmail.com,Momna,Ali,https://tale 38cba911-db50-4f71-b1af-ed0fde9e2799,maitrippatel98@gmail.com,Maitri,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2024-09-19T16:14:55.688Z,2024-09-19T16:14:55.763Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,N/A,"AI safety, Data science, Machine learning, Natural language processing, Recommender systems, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Predictive Analytics, Big Data Analytics","Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Other,True,True,True,True 4dfddaee-8488-4d24-96c2-9c59e223e9e5,maede.ashofthe@gmail.com,Maede,AshoftehBarabadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning| Generative AI|LLMs,,3439895725,,,,https://www.linkedin.com/in/maede-ashofteh-barabadi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4dfddaee-8488-4d24-96c2-9c59e223e9e5/resume,Kingston,Ontario,,Canada,,2024-09-19T15:31:16.911Z,2024-09-19T15:31:16.966Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Xiaodan Zhu,Fall 2024 (August - November),,Ms.,https://www.linkedin.com/in/maede-ashofteh-barabadi/,"Deep learning, Machine learning, Natural language processing, Self-supervised learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 64aa19fb-d20a-4e72-9ba0-8184bfdab4ed,rajpanjwani20@gmail.com,Raj,Panjwani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Highly analytical and detail oriented seeking to leverage skills in SQL, Python, Tableau, and Power BI to transform complex data into actionable insights that drive strategic business decisions.",,4379288099,,,,https://www.linkedin.com/in/panjwaniraj/,,True,False,,,,,,,2024-09-19T13:05:44.307Z,2024-09-19T13:05:44.353Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/panjwaniraj/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Big Data Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,True,True,True -58be0883-0708-40df-8344-7bf33145c23c,ojorumianeke@gmail.com,Rumi,Aneke,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst/ Project Manager,"Results-driven data analyst and project manager with a Bachelor’s degree in Electrical Engineering and over two years of experience in data analytics, predictive modeling, and project coordination. Adept at transforming complex datasets into actionable insights that inform strategic decision-making. Proven expertise in statistical analysis, machine learning, and data visualization using tools such as Python, SQL, Tableau, and Looker. Skilled in cross-functional collaboration and agile methodologies, with a track record of successfully leading projects from conception to execution. Passionate about leveraging data to drive innovation and enhance business performance.",2268990794,,https://drive.google.com/drive/folders/1gb7SlhNGeo6MCkcxZyQD42khvA2Ri7d1?usp=sharing,,https://www.linkedin.com/in/rumi-aneke/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/58be0883-0708-40df-8344-7bf33145c23c/resume,Toronto,Ontario,,Canada,,2024-09-18T19:06:01.730Z,2024-09-23T22:24:16.702Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Excel to AI,Miss.,https://www.linkedin.com/in/rumi-aneke/,"Bioinformatics, Data science, Statistical learning theory",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical Engineering,,"Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True -29efb9a1-8f2e-4578-b60b-007dc3ffe8e8,z783zhan@gmail.com,Zehao,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,CS Master Student,"I earned my Master’s degree in Computer Science from the University of Waterloo in August 2024, under the supervision of Professor Pascal Poupart. My research focused on machine learning.",2267477312,,,,https://linkedin.com/in/zehao-zhang-15b5b61b8,,False,False,https://canadaai.jobboard.io/api/v1/profiles/29efb9a1-8f2e-4578-b60b-007dc3ffe8e8/resume,Toronto,Ontario,,Canada,,2024-09-18T16:33:22.691Z,2024-10-18T15:00:20.605Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Pascal Poupart,Already Graduated,,Mr.,linkedin.com/in/zehao-zhang-15b5b61b8,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True +58be0883-0708-40df-8344-7bf33145c23c,ojorumianeke@gmail.com,Rumi,Aneke,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst/ Project Manager,"Results-driven data analyst and project manager with a Bachelor’s degree in Electrical Engineering and over two years of experience in data analytics, predictive modeling, and project coordination. Adept at transforming complex datasets into actionable insights that inform strategic decision-making. Proven expertise in statistical analysis, machine learning, and data visualization using tools such as Python, SQL, Tableau, and Looker. Skilled in cross-functional collaboration and agile methodologies, with a track record of successfully leading projects from conception to execution. Passionate about leveraging data to drive innovation and enhance business performance.",2268990794,,https://drive.google.com/drive/folders/1gb7SlhNGeo6MCkcxZyQD42khvA2Ri7d1?usp=sharing,,https://www.linkedin.com/in/rumi-aneke/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/58be0883-0708-40df-8344-7bf33145c23c/resume,Toronto,Ontario,,Canada,,2024-09-18T19:06:01.730Z,2024-10-21T19:11:27.474Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Excel to AI,Miss.,https://www.linkedin.com/in/rumi-aneke/,"Bioinformatics, Data science, Statistical learning theory",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical Engineering,,"Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True +29efb9a1-8f2e-4578-b60b-007dc3ffe8e8,z783zhan@gmail.com,Zehao,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,CS Master Student,"I earned my Master’s degree in Computer Science from the University of Waterloo in August 2024, under the supervision of Professor Pascal Poupart. My research focused on machine learning.",2267477312,,,,https://linkedin.com/in/zehao-zhang-15b5b61b8,,False,False,https://canadaai.jobboard.io/api/v1/profiles/29efb9a1-8f2e-4578-b60b-007dc3ffe8e8/resume,Toronto,Ontario,,Canada,,2024-09-18T16:33:22.691Z,2024-10-20T21:55:05.146Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Pascal Poupart,Already Graduated,,Mr.,linkedin.com/in/zehao-zhang-15b5b61b8,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True ea73220f-6dd8-467b-816b-1f61f4577248,ceciliali1230@gmail.com,kemeng,li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/cecilia1230,,True,False,,,,,,,2024-09-18T16:33:22.579Z,,False,False,Recognized Masters Program,Yes,,,,,,www.linkedin.com/in/cecilia1230,,,,,,,,,,,, 34a7554f-addb-4f8e-859b-e565ea46a350,rivasm.rodolfo@gmail.com,Rodolfo,Rivas Molina,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science & Analytics Leader | Process Excellence | Strategy & Execution | Banking | Project Management,"Rodolfo Rivas is an AI practitioner with extensive experience in advanced analytics, AI product management, and continuous improvement. His work earned him the League of Excellence award at TD, recognizing him as a top 1% employee. Most recently, he worked in the AI Centre of Excellence at TD as Senior Manager of Advanced Analytics and Technical Product, where he developed AI business cases and strategic roadmaps to drive adoption across the organization. Prior to that, he was Senior Advisor, Enterprise Data and Analytics Strategy & Planning. @@ -5322,7 +5328,7 @@ f620b1f5-54f9-4ca4-af03-5e8d1ea8d969,fateme.ghadami@gmail.com,Fateme,Ghadami,htt adf22ad4-7ef9-47a8-9a59-b42ae26c4070,shrutipatel0647@gmail.com,Shruti,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/shruti-patel-77a61713/,,True,False,,,,,,,2024-04-12T17:23:38.478Z,2024-10-08T14:14:27.294Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Participated in Mothers and Machine Learning first batch in 2022,Ms.,https://www.linkedin.com/in/shruti-patel-77a61713/,"AI safety, Computer vision, Data science, Fairness, Generative modeling, Graphical models, Healthcare and/or medical imaging, Machine learning, Natural language processing, Online learning, Optimization, Recommender systems, Representation learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Bachelor in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True 62106f4d-33f7-4c6f-961b-d9edd3e392f3,sverme01@uoguelph.ca,Sam,Vermeulen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,,,,,,https://www.linkedin.com/in/samjvermeulen/,,True,False,,,,,,,2024-04-12T13:55:20.161Z,2024-04-12T13:55:20.241Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Mihai Nica,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/samjvermeulen/,"Data science, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Mathematics + CSAI,"Construction or Infrastructure, Financial Services, Manufacturing , Software, Technology (Information and Media), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Guelph,True,False,True,True 6afe5bb4-418f-4fdf-bd31-0fb28edc6223,amanhooda1607@gmail.com,Aman,Hooda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5485771720,,,,https://www.linkedin.com/in/aman-hooda-b61737195/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6afe5bb4-418f-4fdf-bd31-0fb28edc6223/resume,Toronto,Ontario,,Canada,,2024-04-11T17:26:25.187Z,2024-04-11T17:26:25.232Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/aman-hooda-b61737195/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Computing,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Wilfrid Laurier University,True,True,True,True -928504c3-df60-491a-a987-d1958b2e6902,mukhesh.reddicherla@torontomu.ca,Mukhesh,Reddicherla Sai Vignesh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/r-s-v-mukhesh-77ab27240/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/928504c3-df60-491a-a987-d1958b2e6902/resume,,,,,,2024-04-11T17:17:24.789Z,2024-09-24T15:58:24.753Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/r-s-v-mukhesh-77ab27240/,"Adversarial learning, AI safety, Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Fairness",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Engineering, Electrical and Computer Engineering","Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,True,True,True +928504c3-df60-491a-a987-d1958b2e6902,mukhesh.reddicherla@torontomu.ca,Mukhesh,Reddicherla Sai Vignesh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/r-s-v-mukhesh-77ab27240/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/928504c3-df60-491a-a987-d1958b2e6902/resume,,,,,,2024-04-11T17:17:24.789Z,2024-10-15T14:33:21.359Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/r-s-v-mukhesh-77ab27240/,"Adversarial learning, AI safety, Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Fairness",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Engineering, Electrical and Computer Engineering","Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,True,True,True b4553601-f37c-4dea-b8b6-a329059534a6,hmoradis@uoguelph.ca,Hadiseh,Moradisani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5197318498,,,,https://www.linkedin.com/in/hadis-moradi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b4553601-f37c-4dea-b8b6-a329059534a6/resume,Guelph,Ontario,,Canada,,2024-04-10T14:07:51.848Z,2024-05-01T14:11:06.637Z,True,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,ON,Other/Undetermined,,Ms.,https://www.linkedin.com/in/hadis-moradi/,"Data science, Deep learning, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Engineering,"Education, Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True e29beb3c-7162-403a-99fc-2e5fae5ba096,ramin.fathian@vectorinstitute.ai,Ramin,Fathian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/rfathian/,,False,False,,,,,,,2024-04-09T14:46:22.939Z,2024-04-09T14:46:22.983Z,False,False,Other Vector Programming,Yes,Post Graduate Affiliate,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/rfathian/,"AI safety, Bioinformatics, Computer vision, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Neuroscience, Optimization, Reinforcement learning, Robotics, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Engineering,"Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Other,True,True,True,True 66d4fcd9-2ebb-4720-a188-0ce3473bdcc7,sukhasingh2292@gmail.com,sukhwinder,singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineer,"Experienced python developer, proficient in machine learning, neural networks, and cloud deployment, with a robust 5+ years Python coding experience with SQL Server based development of large datasets along with developing and deploying ETL pipelines using Databricks Pyspark. Engaged in freelancing Generative AI projects and teaching on SuperProf, showcasing continuous learning. Seeking leadership roles to utilize advanced skills and drive success in large-scale projects. ",,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/66d4fcd9-2ebb-4720-a188-0ce3473bdcc7/resume,Toronto,Ontario,,Canada,,2024-04-08T20:53:21.058Z,2024-04-08T20:53:21.116Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2019,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True @@ -6044,7 +6050,7 @@ f6e6d534-8da8-4c67-ba9a-71d4c45530c5,justin.dumouchelle@mail.utoronto.ca,Justin, 8065b575-14be-4fdd-ac5b-e852f1d04969,maraheem@uwaterloo.ca,Muritala ,Raheem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-10T11:52:02.844Z,2023-02-10T11:52:02.910Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,"AI safety, Anomaly detection",Graduate Degree (Masters),Entry Level (0-2 Years),"Computer Networks,Security and AI",Telecommunications,"Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True f212caa8-2e37-48bc-8de5-cc540d9d5a42,rtpslot7788@outlook.com,RTP,Slot Gacor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-08T12:58:43.099Z,2023-02-08T12:58:43.139Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Adversarial learning, AI safety, Anomaly detection",High School,Entry Level (0-2 Years),ok,Construction or Infrastructure,Full Time,Data Analyst,Algoma University,True,True,True,True 247490bb-3088-4b05-a7b6-9a5cbba794a6,lancehong.shi@gmail.com,Hong,Shi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/hong-shi-honnishinn/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/247490bb-3088-4b05-a7b6-9a5cbba794a6/resume,,,,,,2023-01-31T01:33:09.947Z,2023-01-31T01:33:09.978Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hong-shi-honnishinn/,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Information,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",University of Toronto,True,False,True,True -23345762-231b-4725-85d3-dd09a75e93ab,zjn15222509746@gmail.com,Jianing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-29T07:47:37.646Z,2023-03-31T16:16:26.239Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/jianing-zhang-0a311b183/?originalSubdomain=ca,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +23345762-231b-4725-85d3-dd09a75e93ab,zjn15222509746@gmail.com,Jianing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-29T07:47:37.646Z,2023-05-09T13:56:44.104Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/jianing-zhang-0a311b183/?originalSubdomain=ca,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True f21ac5fd-c5fd-4995-b974-f93c54f6361e,18bme003@nirmauni.ac.in,Aditya,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2023-01-28T21:20:55.902Z,2023-01-28T21:20:55.926Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True b0ee1240-bb66-4766-8618-9fe0ab0da37b,arbasj@mcmaster.ca,Jamil,Arbas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-27T19:34:05.549Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jamil-a-321556106,,,,,,,,,,,, 44ceb8d3-ae33-4d43-8a4c-64136921dc44,22zq2@queensu.ca,Zhen,Qin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-27T19:34:05.324Z,,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,,,, @@ -6340,7 +6346,7 @@ e42c4658-304a-4cb6-b70c-8856ca370bd1,mina.yazdani@ryerson.ca,Mina,Yazdani,https: 1d0c76f4-6446-4a5e-aa25-fe7526453dd2,jsivaloganathan@ryerson.ca,Janakan,Siva,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2022-09-16T13:46:50.705Z,2022-09-16T20:02:00.513Z,False,False,Internal Staff,Yes,Other/Unsure,,Winter 2024 (December 2023 - March 2024),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/janakan2466/,"Data science, Deep learning, Fairness, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering: Software Engineering Option,"Financial Services, Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True 35c5bf34-00f8-4540-b4ba-336253832127,wenhanxu@yorku.ca,Wenhan,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-15T00:11:37.674Z,2022-09-15T00:11:37.729Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/wenhan-xu/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",York University,True,True,True,True fa82f7f5-18b4-4365-87f8-62e0e0fbc9a1,mark.chen1102@gmail.com,SHIJIE,CHEN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Schulich Masters of Business Analytics 2023 | Data Science & Strategy | AI & ML | Data Analytics,6477788869,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-14T22:50:48.079Z,2022-09-27T15:26:30.054Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/shijie%EF%BC%88mark-chen-89762815b/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -0e7da70b-b723-4d51-868e-2f2db598e43a,mohamad.khosravani97@gmail.com,Aiden,Khosravani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,NLP Researcher,,8073557440,,,,https://www.linkedin.com/in/mohamad-khosravani/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e7da70b-b723-4d51-868e-2f2db598e43a/resume,,Ontario,,Canada,,2022-09-14T16:50:36.669Z,2024-10-21T19:36:40.422Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohamad-khosravani/,"Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True +0e7da70b-b723-4d51-868e-2f2db598e43a,mohamad.khosravani97@gmail.com,Aiden,Khosravani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,NLP Researcher,,8073557440,,,,https://www.linkedin.com/in/mohamad-khosravani/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e7da70b-b723-4d51-868e-2f2db598e43a/resume,,Ontario,,Canada,,2022-09-14T16:50:36.669Z,2024-10-22T18:58:01.594Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohamad-khosravani/,"Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True 28389fd3-9a96-40a1-89c5-96a945029a1d,iamakshayshetty3@gmail.com,Akshay,Shetty,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/akshaykshetty/,,True,True,,,,,,,2022-09-14T02:51:35.201Z,2023-09-27T08:25:22.075Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/akshay-shetty-913b92166/,"Computer vision, Deep learning, Machine learning, Meta-learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True c514ef95-9cb6-42d6-b3f9-032d2ef4630a,yuchongz.zhang@mail.utoronto.ca,Yuchong,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yuchong-zhang-6aaba9207/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c514ef95-9cb6-42d6-b3f9-032d2ef4630a/resume,,,,,,2022-09-14T01:00:03.231Z,2023-10-27T18:24:46.235Z,False,False,Connected to Vector Research,Yes,Other Vector Programming,Vardan Papyan,Already Graduated,I'm an Applied Machine Learning intern at Vector. I'm also a student of a Vector Faculty Affiliate.,Mr.,https://www.linkedin.com/in/yuchong-zhang-6aaba9207/,"AI safety, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science Specialist and Mathematics Major,"Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True c87abef9-453d-47d6-9a96-c9fde3109246,fredzhou91@gmail.com,Xiaopu,ZHOU,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research assistant professor,"Dr. Xiaopu Zhou has been focusing on investigating the underlying mechanism of Alzheimer’s disease (AD). During his postgraduate study at the Hong Kong university of Science and Technology under the supervision of Prof. Nancy Ip, he has received training in biochemistry and molecular biology techniques, as well as genetics and bioinformatics. He led the first whole-genome sequencing study for AD in the Chinese population and identified AD genetic risks associated with immune pathways in the Chinese population (Zhou et.al., 2018). In addition, he demonstrated the role of non-coding AD risk in APOE nearby regions in modifying AD risk as well as APOE expression (Zhou et.al., 2019). @@ -6433,7 +6439,7 @@ bc855edc-c729-4d37-a712-a3ee2cdd07ac,m59wu@uwaterloo.ca,Meng,Wu,https://talenthu ccd7c025-66f9-4e00-bb0d-c42e68d11db6,sx.li@mail.utoronto.ca,Shixuan,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.824Z,2022-09-09T21:29:26.285Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Ms.,www.linkedin.com/in/li-nadia,,Graduate Degree (Masters),Entry Level (0-2 Years),MScAC,,Internship,"Data Analyst, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True 295dc604-b53d-41cc-892d-f4a9ff25fc91,natasha.rozario@mail.utoronto.ca,Natasha,Rozario,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.616Z,,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/natasha-rozario,,,,,,,,,,,, 22d4f320-b6c2-4d77-8072-56f7ac16f9b4,changsong.yang@rotman.utoronto.ca,Changsong,Yang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.514Z,2022-09-09T17:56:53.513Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/changsong-y/,,,,,,,,,True,True,True,True -22466bee-b439-4156-bcb0-cb2c4765dcf9,adorin.klucas@gmail.com,Adorin,Kripanand Lucas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate student,,3439885244,,,,https://www.linkedin.com/in/adorin-kripanand-lucas/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/22466bee-b439-4156-bcb0-cb2c4765dcf9/resume,Ottawa,Ontario,,Canada,,2022-09-09T12:59:55.308Z,2024-10-21T06:31:42.940Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/adorin-kripanand-lucas-75b4161a8/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science - specialization in Artificial Intelligence,"Financial Services, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True +22466bee-b439-4156-bcb0-cb2c4765dcf9,adorin.klucas@gmail.com,Adorin,Kripanand Lucas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate student,,3439885244,,,,https://www.linkedin.com/in/adorin-kripanand-lucas/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/22466bee-b439-4156-bcb0-cb2c4765dcf9/resume,Ottawa,Ontario,,Canada,,2022-09-09T12:59:55.308Z,2024-10-23T03:20:22.987Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/adorin-kripanand-lucas-75b4161a8/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science - specialization in Artificial Intelligence,"Financial Services, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True dcb30d73-3ba0-4f53-9a7f-2fb283cf21c6,chinlin880514@gmail.com,Chin-Lin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,True,False,,,,,,,2022-09-09T12:59:55.130Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,,,,,,,,,,, 67a7b50c-1f30-41f0-ac28-0c4f1cb524cc,mwstuck99@gmail.com,Michael,Stuck,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.028Z,2023-10-17T01:13:39.088Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/michael-stuck-8b5898158,,,,,,,,,True,False,True,True 3d91e29e-485a-42d2-8b3b-b47b5aee9385,ilycheun@uwaterloo.ca,Ian,Cheung,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:54.854Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ian-cheung-758b79171/,,,,,,,,,,,,